From 52831f2764afc3b736c0f51f7bbe6fd5d400a533 Mon Sep 17 00:00:00 2001
From: Davis McCarthy <dmccarthy@svi.edu.au>
Date: Wed, 2 Oct 2019 08:46:46 +1000
Subject: [PATCH] New build of website
---
public/advanced-exercises.html | 68 +-
public/clust-intro.md | 8 +-
public/clustering-and-cell-annotation.html | 257 +-
public/clustering.md | 12 +-
.../figure-html/unnamed-chunk-10-1.png | Bin 107406 -> 106353 bytes
.../figure-html/unnamed-chunk-2-1.png | Bin 428874 -> 443211 bytes
.../figure-html/unnamed-chunk-7-1.png | Bin 39900 -> 40604 bytes
.../figure-html/unnamed-chunk-8-1.png | Bin 147024 -> 148994 bytes
.../figure-html/unnamed-chunk-9-1.png | Bin 234327 -> 256657 bytes
...ring-and-combining-scrna-seq-datasets.html | 460 +-
public/confounders-reads.md | 136 -
public/confounders.md | 137 -
public/datasets.html | 40 +-
public/de-intro.md | 150 +-
public/dechapter.html | 496 +-
public/exprs-norm-reads.md | 624 +-
public/exprs-norm.md | 4 -
public/exprs-qc.md | 60 +-
.../figure-html/unnamed-chunk-15-1.png | Bin 129722 -> 129367 bytes
.../figure-html/unnamed-chunk-16-1.png | Bin 178234 -> 177931 bytes
public/feature-selection.md | 22 +-
.../sctransform-feature-select-1.png | Bin 19271 -> 19711 bytes
.../figure-html/unnamed-chunk-17-1.png | Bin 0 -> 466884 bytes
public/figures/rotation2.png | Bin 61135 -> 84008 bytes
public/figures/soneson-de-benchmark-fig5.png | Bin 0 -> 129298 bytes
public/handling-sparsity.html | 138 +-
public/handling-sparsity.md | 32 +-
...deal-scrnaseq-pipeline-as-of-oct-2019.html | 42 +-
public/imputation.html | 144 +-
public/index.html | 44 +-
public/index.md | 16 +-
...ntegrating-single-cell-omics-datasets.html | 42 +-
public/intro-to-R.md | 2 +-
public/intro.md | 30 +-
public/introduction-to-rbioconductor.html | 42 +-
.../introduction-to-single-cell-rna-seq.html | 67 +-
public/latent-spaces.html | 156 +-
public/latent-spaces.md | 188 +-
.../figure-html/glmpca-1.png | Bin 104442 -> 106062 bytes
.../figure-html/tsne-1.png | Bin 352594 -> 337390 bytes
.../figure-html/tsne-2.png | Bin 326073 -> 291253 bytes
.../figure-html/umap-1.png | Bin 106680 -> 102501 bytes
.../figure-html/unnamed-chunk-1-1.png | Bin 112341 -> 112963 bytes
.../figure-html/unnamed-chunk-1-2.png | Bin 120564 -> 120187 bytes
.../figure-html/unnamed-chunk-2-1.png | Bin 89214 -> 89308 bytes
.../figure-html/unnamed-chunk-3-1.png | Bin 86052 -> 87096 bytes
.../figure-html/unnamed-chunk-8-1.png | Bin 91943 -> 107659 bytes
...tion-confounders-and-batch-correction.html | 6185 +++--------------
public/processing-raw-scrna-seq-data.html | 40 +-
public/pseudotime.md | 23 +-
...uality-control-and-data-visualisation.html | 103 +-
public/references.html | 52 +-
public/remove-conf.md | 3814 +---------
public/resources.html | 40 +-
public/search_index.json | 20 +-
public/seurat-chapter.html | 298 +-
public/trajectory-inference.html | 925 +--
57 files changed, 2903 insertions(+), 12014 deletions(-)
create mode 100644 public/feature-selection_files/figure-html/unnamed-chunk-17-1.png
create mode 100644 public/figures/soneson-de-benchmark-fig5.png
diff --git a/public/advanced-exercises.html b/public/advanced-exercises.html
index 51e1b11..ab6da0f 100644
--- a/public/advanced-exercises.html
+++ b/public/advanced-exercises.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -547,20 +553,20 @@ the Salmon index that was used for the quantification).</p>
<p>Here we will show you how to create an <code>SCE</code> from a <code>MultiAssayExperiment</code>
object. For example, if you download <code>Shalek2013</code> dataset you will be able to
create an <code>SCE</code> using the following code:</p>
-<div class="sourceCode" id="cb904"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb904-1" data-line-number="1"><span class="kw">library</span>(MultiAssayExperiment)</a>
-<a class="sourceLine" id="cb904-2" data-line-number="2"><span class="kw">library</span>(SummarizedExperiment)</a>
-<a class="sourceLine" id="cb904-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb904-4" data-line-number="4">d <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"~/Desktop/GSE41265.rds"</span>)</a>
-<a class="sourceLine" id="cb904-5" data-line-number="5">cts <-<span class="st"> </span><span class="kw">assays</span>(<span class="kw">experiments</span>(d)[[<span class="st">"gene"</span>]])[[<span class="st">"count_lstpm"</span>]]</a>
-<a class="sourceLine" id="cb904-6" data-line-number="6">tpms <-<span class="st"> </span><span class="kw">assays</span>(<span class="kw">experiments</span>(d)[[<span class="st">"gene"</span>]])[[<span class="st">"TPM"</span>]]</a>
-<a class="sourceLine" id="cb904-7" data-line-number="7">phn <-<span class="st"> </span><span class="kw">colData</span>(d)</a>
-<a class="sourceLine" id="cb904-8" data-line-number="8">sce <-<span class="st"> </span><span class="kw">SingleCellExperiment</span>(</a>
-<a class="sourceLine" id="cb904-9" data-line-number="9"> <span class="dt">assays =</span> <span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb904-10" data-line-number="10"> <span class="dt">countData =</span> cts, </a>
-<a class="sourceLine" id="cb904-11" data-line-number="11"> <span class="dt">tpmData =</span> tpms</a>
-<a class="sourceLine" id="cb904-12" data-line-number="12"> ),</a>
-<a class="sourceLine" id="cb904-13" data-line-number="13"> <span class="dt">colData =</span> phn</a>
-<a class="sourceLine" id="cb904-14" data-line-number="14">)</a></code></pre></div>
+<div class="sourceCode" id="cb675"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb675-1" data-line-number="1"><span class="kw">library</span>(MultiAssayExperiment)</a>
+<a class="sourceLine" id="cb675-2" data-line-number="2"><span class="kw">library</span>(SummarizedExperiment)</a>
+<a class="sourceLine" id="cb675-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb675-4" data-line-number="4">d <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"~/Desktop/GSE41265.rds"</span>)</a>
+<a class="sourceLine" id="cb675-5" data-line-number="5">cts <-<span class="st"> </span><span class="kw">assays</span>(<span class="kw">experiments</span>(d)[[<span class="st">"gene"</span>]])[[<span class="st">"count_lstpm"</span>]]</a>
+<a class="sourceLine" id="cb675-6" data-line-number="6">tpms <-<span class="st"> </span><span class="kw">assays</span>(<span class="kw">experiments</span>(d)[[<span class="st">"gene"</span>]])[[<span class="st">"TPM"</span>]]</a>
+<a class="sourceLine" id="cb675-7" data-line-number="7">phn <-<span class="st"> </span><span class="kw">colData</span>(d)</a>
+<a class="sourceLine" id="cb675-8" data-line-number="8">sce <-<span class="st"> </span><span class="kw">SingleCellExperiment</span>(</a>
+<a class="sourceLine" id="cb675-9" data-line-number="9"> <span class="dt">assays =</span> <span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb675-10" data-line-number="10"> <span class="dt">countData =</span> cts, </a>
+<a class="sourceLine" id="cb675-11" data-line-number="11"> <span class="dt">tpmData =</span> tpms</a>
+<a class="sourceLine" id="cb675-12" data-line-number="12"> ),</a>
+<a class="sourceLine" id="cb675-13" data-line-number="13"> <span class="dt">colData =</span> phn</a>
+<a class="sourceLine" id="cb675-14" data-line-number="14">)</a></code></pre></div>
<p>You can also see that several different QC metrics have already been
pre-calculated on the <a href="http://imlspenticton.uzh.ch:3838/conquer/">conquer</a>
website.</p>
diff --git a/public/clust-intro.md b/public/clust-intro.md
index 8b0b279..45007b2 100644
--- a/public/clust-intro.md
+++ b/public/clust-intro.md
@@ -43,7 +43,7 @@ that it is typically much easier to visualize the data in a 2 or
* Scalability: in the last few years the number of cells in scRNA-seq experiments has grown by several orders of magnitude from ~$10^2$ to ~$10^6$
-### unsupervised Clustering methods
+### Unsupervised clustering methods
Three main ingredients of a complete clustering method:
@@ -206,7 +206,7 @@ that are very fast, although not the most accurate approaches.
-#### Concensus clustering (more robustness, less computational speed)
+#### Consensus clustering (more robustness, less computational speed)
##### __Motivation (Two problems of $K$-means)__: \
- __Problem1:__ sensitive to initial partitions \
@@ -216,7 +216,7 @@ that are very fast, although not the most accurate approaches.
__Solution:__
Run $K$-means with a range of $K$'s.
-##### __Algorithm of concensus clustering (simpliest version)__:
+##### __Algorithm of consensus clustering (simpliest version)__:
```text
for(k in the range of K){
@@ -250,7 +250,7 @@ Say we partitioned four data points into 2 clusters.
<center>{width=60%}</center>
-- __Step2:__ Concensus matrix: \
+- __Step2:__ Consensus matrix: \
Average of all the partitions
<center>{width=30%}</center>
diff --git a/public/clustering-and-cell-annotation.html b/public/clustering-and-cell-annotation.html
index cb4f950..39a4053 100644
--- a/public/clustering-and-cell-annotation.html
+++ b/public/clustering-and-cell-annotation.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -534,7 +540,7 @@ that it is typically much easier to visualize the data in a 2 or
</ul>
</div>
<div id="unsupervised-clustering-methods" class="section level3">
-<h3><span class="header-section-number">10.1.2</span> unsupervised Clustering methods</h3>
+<h3><span class="header-section-number">10.1.2</span> Unsupervised clustering methods</h3>
<p>Three main ingredients of a complete clustering method:</p>
<ul>
<li><p><strong>Measure of similarity</strong>: how do we quantify how close two data points are?</p></li>
@@ -610,7 +616,7 @@ clustering methods in many situations <span class="citation">(Freytag et al. <a
</center>
<p>There are two ways of adding weights: number and rank.<br />
- <em>number</em>: The number of shared nodes between <span class="math inline">\(u\)</span> and <span class="math inline">\(v\)</span>, in this case, 3.<br />
-- <em>rank</em>: A measurement of the closeness to their common nearest neighbours. (<span class="citation">Xu and Su (<a href="#ref-xu2015identification">2015</a>)</span>)<br />
+- <em>rank</em>: A measurement of the closeness to their common nearest neighbours. (<span class="citation">(<span class="citeproc-not-found" data-reference-id="xu2015identification"><strong>???</strong></span>)</span>)<br />
</p>
<p><font color="#bf812d"><br />
<strong>Details of rank </strong>:<br />
@@ -689,8 +695,8 @@ Improved Louvain, hybrid of greedy algorithm and sampling technique<br />
<a href="https://igraph.org/"><strong>igraph</strong></a>: fast greedy, Louvain, optimal, walktrap, spinglass, infomap</p>
</div>
</div>
-<div id="concensus-clustering-more-robustness-less-computational-speed" class="section level4">
-<h4><span class="header-section-number">10.1.2.4</span> Concensus clustering (more robustness, less computational speed)</h4>
+<div id="consensus-clustering-more-robustness-less-computational-speed" class="section level4">
+<h4><span class="header-section-number">10.1.2.4</span> Consensus clustering (more robustness, less computational speed)</h4>
<div id="motivation-two-problems-of-k-means" class="section level5">
<h5><span class="header-section-number">10.1.2.4.1</span> <strong>Motivation (Two problems of <span class="math inline">\(K\)</span>-means)</strong>:<br />
</h5>
@@ -704,8 +710,8 @@ Improved Louvain, hybrid of greedy algorithm and sampling technique<br />
 Run <span class="math inline">\(K\)</span>-means with a range of <span class="math inline">\(K\)</span>’s.</li>
</ul>
</div>
-<div id="algorithm-of-concensus-clustering-simpliest-version" class="section level5">
-<h5><span class="header-section-number">10.1.2.4.2</span> <strong>Algorithm of concensus clustering (simpliest version)</strong>:</h5>
+<div id="algorithm-of-consensus-clustering-simpliest-version" class="section level5">
+<h5><span class="header-section-number">10.1.2.4.2</span> <strong>Algorithm of consensus clustering (simpliest version)</strong>:</h5>
<pre class="text"><code>for(k in the range of K){
for(each subsample of the data){
for(iteration in 1:1000){
@@ -738,7 +744,7 @@ Say we partitioned four data points into 2 clusters.</li>
<img src="figures/concensus1.png" style="width:60.0%" />
</center>
<ul>
-<li><strong>Step2:</strong> Concensus matrix:<br />
+<li><strong>Step2:</strong> Consensus matrix:<br />
Average of all the partitions
<center>
<img src="figures/concensus2.png" style="width:30.0%" />
@@ -755,14 +761,14 @@ Average of all the partitions
</div>
<div id="clust-methods" class="section level2">
<h2><span class="header-section-number">10.2</span> Clustering example</h2>
-<div class="sourceCode" id="cb671"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb671-1" data-line-number="1"><span class="kw">library</span>(pcaMethods)</a>
-<a class="sourceLine" id="cb671-2" data-line-number="2"><span class="kw">library</span>(SC3)</a>
-<a class="sourceLine" id="cb671-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb671-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb671-5" data-line-number="5"><span class="kw">library</span>(pheatmap)</a>
-<a class="sourceLine" id="cb671-6" data-line-number="6"><span class="kw">library</span>(mclust)</a>
-<a class="sourceLine" id="cb671-7" data-line-number="7"><span class="kw">library</span>(igraph)</a>
-<a class="sourceLine" id="cb671-8" data-line-number="8"><span class="kw">library</span>(scran)</a></code></pre></div>
+<div class="sourceCode" id="cb441"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb441-1" data-line-number="1"><span class="kw">library</span>(pcaMethods)</a>
+<a class="sourceLine" id="cb441-2" data-line-number="2"><span class="kw">library</span>(SC3)</a>
+<a class="sourceLine" id="cb441-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb441-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb441-5" data-line-number="5"><span class="kw">library</span>(pheatmap)</a>
+<a class="sourceLine" id="cb441-6" data-line-number="6"><span class="kw">library</span>(mclust)</a>
+<a class="sourceLine" id="cb441-7" data-line-number="7"><span class="kw">library</span>(igraph)</a>
+<a class="sourceLine" id="cb441-8" data-line-number="8"><span class="kw">library</span>(scran)</a></code></pre></div>
<div id="example-1.-graph-based-clustering-deng-dataset" class="section level3">
<h3><span class="header-section-number">10.2.1</span> Example 1. Graph-based clustering (deng dataset)</h3>
<p>To illustrate clustering of scRNA-seq data, we consider the <code>Deng</code> dataset of
@@ -770,32 +776,32 @@ cells from developing mouse embryo <span class="citation">(Deng et al. <a href="
dataset and created a <code>SingleCellExperiment</code> object in advance. We have also
annotated the cells with the cell types identified in the original publication
(it is the <code>cell_type2</code> column in the <code>colData</code> slot).</p>
-<div class="sourceCode" id="cb672"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb672-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb442"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb442-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a></code></pre></div>
<p>First, we build a <span class="math inline">\(K\)</span>-NN graph with a package function from
<a href="https://bioconductor.org/packages/release/bioc/html/scran.html">scran</a>. The
most important decision of building a graph is the choice of <span class="math inline">\(K\)</span>, of which there
is no standard rule. In general, we can think of it as an indication of the
desired cluster size. If <span class="math inline">\(K\)</span> is too small, a genuine cluster might be split into
parts, while if <span class="math inline">\(K\)</span> is too large, clusters might not thoroughly separated.</p>
-<div class="sourceCode" id="cb673"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb673-1" data-line-number="1">deng5 <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(deng, <span class="dt">k =</span> <span class="dv">5</span>)</a>
-<a class="sourceLine" id="cb673-2" data-line-number="2">deng15 <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(deng, <span class="dt">k =</span> <span class="dv">15</span>)</a>
-<a class="sourceLine" id="cb673-3" data-line-number="3">deng25 <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(deng, <span class="dt">k =</span> <span class="dv">25</span>)</a>
-<a class="sourceLine" id="cb673-4" data-line-number="4"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>))</a>
-<a class="sourceLine" id="cb673-5" data-line-number="5"><span class="kw">plot</span>(deng5, <span class="dt">vertex.size =</span> <span class="dv">4</span>, <span class="dt">vertex.label =</span> <span class="ot">NA</span>)</a>
-<a class="sourceLine" id="cb673-6" data-line-number="6"><span class="kw">title</span>(<span class="st">"5-NN"</span> ,<span class="dt">line =</span> <span class="dv">-33</span>, <span class="dt">cex.main =</span> <span class="dv">3</span>)</a>
-<a class="sourceLine" id="cb673-7" data-line-number="7"><span class="kw">plot</span>(deng15, <span class="dt">vertex.size =</span> <span class="dv">4</span>, <span class="dt">vertex.label =</span> <span class="ot">NA</span>)</a>
-<a class="sourceLine" id="cb673-8" data-line-number="8"><span class="kw">title</span>(<span class="st">"15-NN"</span> ,<span class="dt">line =</span> <span class="dv">-33</span>, <span class="dt">cex.main =</span> <span class="dv">3</span>)</a>
-<a class="sourceLine" id="cb673-9" data-line-number="9"><span class="kw">plot</span>(deng25, <span class="dt">vertex.size =</span> <span class="dv">4</span>, <span class="dt">vertex.label =</span> <span class="ot">NA</span>)</a>
-<a class="sourceLine" id="cb673-10" data-line-number="10"><span class="kw">title</span>(<span class="st">"25-NN"</span> ,<span class="dt">line =</span> <span class="dv">-33</span>, <span class="dt">cex.main =</span> <span class="dv">3</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb443"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb443-1" data-line-number="1">deng5 <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(deng, <span class="dt">k =</span> <span class="dv">5</span>)</a>
+<a class="sourceLine" id="cb443-2" data-line-number="2">deng15 <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(deng, <span class="dt">k =</span> <span class="dv">15</span>)</a>
+<a class="sourceLine" id="cb443-3" data-line-number="3">deng25 <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(deng, <span class="dt">k =</span> <span class="dv">25</span>)</a>
+<a class="sourceLine" id="cb443-4" data-line-number="4"><span class="kw">par</span>(<span class="dt">mfrow=</span><span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>))</a>
+<a class="sourceLine" id="cb443-5" data-line-number="5"><span class="kw">plot</span>(deng5, <span class="dt">vertex.size =</span> <span class="dv">4</span>, <span class="dt">vertex.label =</span> <span class="ot">NA</span>)</a>
+<a class="sourceLine" id="cb443-6" data-line-number="6"><span class="kw">title</span>(<span class="st">"5-NN"</span> ,<span class="dt">line =</span> <span class="dv">-33</span>, <span class="dt">cex.main =</span> <span class="dv">3</span>)</a>
+<a class="sourceLine" id="cb443-7" data-line-number="7"><span class="kw">plot</span>(deng15, <span class="dt">vertex.size =</span> <span class="dv">4</span>, <span class="dt">vertex.label =</span> <span class="ot">NA</span>)</a>
+<a class="sourceLine" id="cb443-8" data-line-number="8"><span class="kw">title</span>(<span class="st">"15-NN"</span> ,<span class="dt">line =</span> <span class="dv">-33</span>, <span class="dt">cex.main =</span> <span class="dv">3</span>)</a>
+<a class="sourceLine" id="cb443-9" data-line-number="9"><span class="kw">plot</span>(deng25, <span class="dt">vertex.size =</span> <span class="dv">4</span>, <span class="dt">vertex.label =</span> <span class="ot">NA</span>)</a>
+<a class="sourceLine" id="cb443-10" data-line-number="10"><span class="kw">title</span>(<span class="st">"25-NN"</span> ,<span class="dt">line =</span> <span class="dv">-33</span>, <span class="dt">cex.main =</span> <span class="dv">3</span>)</a></code></pre></div>
<p><img src="clustering_files/figure-html/unnamed-chunk-2-1.png" width="1152" style="display: block; margin: auto;" /></p>
<p>Perform Louvain clustering:</p>
-<div class="sourceCode" id="cb674"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb674-1" data-line-number="1">cl <-<span class="st"> </span>igraph<span class="op">::</span><span class="kw">cluster_louvain</span>(deng15)<span class="op">$</span>membership</a>
-<a class="sourceLine" id="cb674-2" data-line-number="2"><span class="kw">colData</span>(deng)<span class="op">$</span>cl <-<span class="st"> </span><span class="kw">factor</span>(cl)</a>
-<a class="sourceLine" id="cb674-3" data-line-number="3">mclust<span class="op">::</span><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2, <span class="kw">colData</span>(deng)<span class="op">$</span>cl)</a></code></pre></div>
+<div class="sourceCode" id="cb444"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb444-1" data-line-number="1">cl <-<span class="st"> </span>igraph<span class="op">::</span><span class="kw">cluster_louvain</span>(deng15)<span class="op">$</span>membership</a>
+<a class="sourceLine" id="cb444-2" data-line-number="2"><span class="kw">colData</span>(deng)<span class="op">$</span>cl <-<span class="st"> </span><span class="kw">factor</span>(cl)</a>
+<a class="sourceLine" id="cb444-3" data-line-number="3">mclust<span class="op">::</span><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2, <span class="kw">colData</span>(deng)<span class="op">$</span>cl)</a></code></pre></div>
<pre><code>## [1] 0.4197754</code></pre>
<p>Reaches very high similarity with the labels provided in the original paper.</p>
<p>However, it tend to merge small clusters into larger ones.</p>
-<div class="sourceCode" id="cb676"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb676-1" data-line-number="1"><span class="kw">table</span>(deng<span class="op">$</span>cell_type2, cl)</a></code></pre></div>
+<div class="sourceCode" id="cb446"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb446-1" data-line-number="1"><span class="kw">table</span>(deng<span class="op">$</span>cell_type2, cl)</a></code></pre></div>
<pre><code>## cl
## 1 2 3
## 16cell 49 0 1
@@ -811,19 +817,19 @@ parts, while if <span class="math inline">\(K\)</span> is too large, clusters mi
</div>
<div id="example-2.-graph-based-clustering-segerstolpe-dataset" class="section level3">
<h3><span class="header-section-number">10.2.2</span> Example 2. Graph-based clustering (segerstolpe dataset)</h3>
-<div class="sourceCode" id="cb678"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb678-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
-<a class="sourceLine" id="cb678-2" data-line-number="2"><span class="co">## PCA</span></a>
-<a class="sourceLine" id="cb678-3" data-line-number="3">var.fit <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">trendVar</span>(muraro, <span class="dt">parametric=</span><span class="ot">TRUE</span>, <span class="dt">use.spikes=</span>F))</a>
-<a class="sourceLine" id="cb678-4" data-line-number="4">muraro <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">denoisePCA</span>(muraro, <span class="dt">technical=</span>var.fit<span class="op">$</span>trend))</a>
-<a class="sourceLine" id="cb678-5" data-line-number="5"><span class="kw">dim</span>(<span class="kw">reducedDim</span>(muraro, <span class="st">"PCA"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb448"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb448-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
+<a class="sourceLine" id="cb448-2" data-line-number="2"><span class="co">## PCA</span></a>
+<a class="sourceLine" id="cb448-3" data-line-number="3">var.fit <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">trendVar</span>(muraro, <span class="dt">parametric=</span><span class="ot">TRUE</span>, <span class="dt">use.spikes=</span>F))</a>
+<a class="sourceLine" id="cb448-4" data-line-number="4">muraro <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">denoisePCA</span>(muraro, <span class="dt">technical=</span>var.fit<span class="op">$</span>trend))</a>
+<a class="sourceLine" id="cb448-5" data-line-number="5"><span class="kw">dim</span>(<span class="kw">reducedDim</span>(muraro, <span class="st">"PCA"</span>))</a></code></pre></div>
<pre><code>## [1] 2126 5</code></pre>
-<div class="sourceCode" id="cb680"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb680-1" data-line-number="1"><span class="co">## Build graph and clustering</span></a>
-<a class="sourceLine" id="cb680-2" data-line-number="2">gr <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(muraro, <span class="dt">use.dimred=</span><span class="st">"PCA"</span>, <span class="dt">k =</span> <span class="dv">30</span>)</a>
-<a class="sourceLine" id="cb680-3" data-line-number="3">cl <-<span class="st"> </span>igraph<span class="op">::</span><span class="kw">cluster_louvain</span>(gr)<span class="op">$</span>membership</a>
-<a class="sourceLine" id="cb680-4" data-line-number="4"><span class="kw">colData</span>(muraro)<span class="op">$</span>cl <-<span class="st"> </span><span class="kw">factor</span>(cl)</a>
-<a class="sourceLine" id="cb680-5" data-line-number="5">mclust<span class="op">::</span><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="kw">colData</span>(muraro)<span class="op">$</span>cl)</a></code></pre></div>
+<div class="sourceCode" id="cb450"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb450-1" data-line-number="1"><span class="co">## Build graph and clustering</span></a>
+<a class="sourceLine" id="cb450-2" data-line-number="2">gr <-<span class="st"> </span><span class="kw">buildSNNGraph</span>(muraro, <span class="dt">use.dimred=</span><span class="st">"PCA"</span>, <span class="dt">k =</span> <span class="dv">30</span>)</a>
+<a class="sourceLine" id="cb450-3" data-line-number="3">cl <-<span class="st"> </span>igraph<span class="op">::</span><span class="kw">cluster_louvain</span>(gr)<span class="op">$</span>membership</a>
+<a class="sourceLine" id="cb450-4" data-line-number="4"><span class="kw">colData</span>(muraro)<span class="op">$</span>cl <-<span class="st"> </span><span class="kw">factor</span>(cl)</a>
+<a class="sourceLine" id="cb450-5" data-line-number="5">mclust<span class="op">::</span><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="kw">colData</span>(muraro)<span class="op">$</span>cl)</a></code></pre></div>
<pre><code>## [1] 0.4845618</code></pre>
-<div class="sourceCode" id="cb682"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb682-1" data-line-number="1"><span class="kw">table</span>(muraro<span class="op">$</span>cell_type1, cl)</a></code></pre></div>
+<div class="sourceCode" id="cb452"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb452-1" data-line-number="1"><span class="kw">table</span>(muraro<span class="op">$</span>cell_type1, cl)</a></code></pre></div>
<pre><code>## cl
## 1 2 3 4 5 6 7 8 9
## acinar 0 0 0 0 0 0 218 0 1
@@ -841,12 +847,12 @@ parts, while if <span class="math inline">\(K\)</span> is too large, clusters mi
<h3><span class="header-section-number">10.2.3</span> Example 3. SC3</h3>
<p>Let’s run <code>SC3</code> clustering on the Deng data. The advantage of the <code>SC3</code> is that it can directly ingest a <code>SingleCellExperiment</code> object.</p>
<p><code>SC3</code> can estimate a number of clusters:</p>
-<div class="sourceCode" id="cb684"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb684-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">sc3_estimate_k</span>(deng)</a></code></pre></div>
+<div class="sourceCode" id="cb454"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb454-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">sc3_estimate_k</span>(deng)</a></code></pre></div>
<pre><code>## Estimating k...</code></pre>
-<div class="sourceCode" id="cb686"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb686-1" data-line-number="1"><span class="kw">metadata</span>(deng)<span class="op">$</span>sc3<span class="op">$</span>k_estimation</a></code></pre></div>
+<div class="sourceCode" id="cb456"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb456-1" data-line-number="1"><span class="kw">metadata</span>(deng)<span class="op">$</span>sc3<span class="op">$</span>k_estimation</a></code></pre></div>
<pre><code>## [1] 6</code></pre>
<p>Next we run <code>SC3</code> (we also ask it to calculate biological properties of the clusters):</p>
-<div class="sourceCode" id="cb688"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb688-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">sc3</span>(deng, <span class="dt">ks =</span> <span class="dv">10</span>, <span class="dt">biology =</span> <span class="ot">TRUE</span>, <span class="dt">n_cores =</span> <span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb458"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb458-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">sc3</span>(deng, <span class="dt">ks =</span> <span class="dv">10</span>, <span class="dt">biology =</span> <span class="ot">TRUE</span>, <span class="dt">n_cores =</span> <span class="dv">1</span>)</a></code></pre></div>
<pre><code>## Setting SC3 parameters...</code></pre>
<pre><code>## Calculating distances between the cells...</code></pre>
<pre><code>## Performing transformations and calculating eigenvectors...</code></pre>
@@ -855,24 +861,24 @@ parts, while if <span class="math inline">\(K\)</span> is too large, clusters mi
<pre><code>## Calculating biology...</code></pre>
<p><code>SC3</code> result consists of several different outputs (please look in <span class="citation">(Kiselev et al. <a href="#ref-Kiselev2016-bq">2017</a>)</span> and <a href="http://bioconductor.org/packages/release/bioc/vignettes/SC3/inst/doc/my-vignette.html">SC3 vignette</a> for more details). Here we show some of them:</p>
<p>Consensus matrix:</p>
-<div class="sourceCode" id="cb695"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb695-1" data-line-number="1"><span class="kw">sc3_plot_consensus</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">show_pdata =</span> <span class="st">"cell_type2"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb465"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb465-1" data-line-number="1"><span class="kw">sc3_plot_consensus</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">show_pdata =</span> <span class="st">"cell_type2"</span>)</a></code></pre></div>
<p>Silhouette plot:</p>
-<div class="sourceCode" id="cb696"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb696-1" data-line-number="1"><span class="kw">sc3_plot_silhouette</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb466"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb466-1" data-line-number="1"><span class="kw">sc3_plot_silhouette</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>)</a></code></pre></div>
<p><img src="clustering_files/figure-html/unnamed-chunk-7-1.png" width="672" style="display: block; margin: auto;" /></p>
<p>Heatmap of the expression matrix:</p>
-<div class="sourceCode" id="cb697"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb697-1" data-line-number="1"><span class="kw">sc3_plot_expression</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">show_pdata =</span> <span class="st">"cell_type2"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb467"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb467-1" data-line-number="1"><span class="kw">sc3_plot_expression</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">show_pdata =</span> <span class="st">"cell_type2"</span>)</a></code></pre></div>
<p><img src="clustering_files/figure-html/unnamed-chunk-8-1.png" width="672" style="display: block; margin: auto;" /></p>
<p>Identified marker genes:</p>
-<div class="sourceCode" id="cb698"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb698-1" data-line-number="1"><span class="kw">sc3_plot_markers</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">show_pdata =</span> <span class="st">"cell_type2"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb468"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb468-1" data-line-number="1"><span class="kw">sc3_plot_markers</span>(deng, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">show_pdata =</span> <span class="st">"cell_type2"</span>)</a></code></pre></div>
<p><img src="clustering_files/figure-html/unnamed-chunk-9-1.png" width="672" style="display: block; margin: auto;" /></p>
<p>PCA plot with highlighted <code>SC3</code> clusters:</p>
-<div class="sourceCode" id="cb699"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb699-1" data-line-number="1"><span class="kw">plotPCA</span>(deng, <span class="dt">colour_by =</span> <span class="st">"sc3_10_clusters"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb469"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb469-1" data-line-number="1"><span class="kw">plotPCA</span>(deng, <span class="dt">colour_by =</span> <span class="st">"sc3_10_clusters"</span>)</a></code></pre></div>
<p><img src="clustering_files/figure-html/unnamed-chunk-10-1.png" width="672" style="display: block; margin: auto;" /></p>
<p>Compare the results of <code>SC3</code> clustering with the original publication cell type labels:</p>
-<div class="sourceCode" id="cb700"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb700-1" data-line-number="1"><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2, <span class="kw">colData</span>(deng)<span class="op">$</span>sc3_<span class="dv">10</span>_clusters)</a></code></pre></div>
-<pre><code>## [1] 0.7796181</code></pre>
+<div class="sourceCode" id="cb470"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb470-1" data-line-number="1"><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2, <span class="kw">colData</span>(deng)<span class="op">$</span>sc3_<span class="dv">10</span>_clusters)</a></code></pre></div>
+<pre><code>## [1] 0.6616899</code></pre>
<p><strong>Note</strong> <code>SC3</code> can also be run in an interactive <code>Shiny</code> session:</p>
-<div class="sourceCode" id="cb702"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb702-1" data-line-number="1"><span class="kw">sc3_interactive</span>(deng)</a></code></pre></div>
+<div class="sourceCode" id="cb472"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb472-1" data-line-number="1"><span class="kw">sc3_interactive</span>(deng)</a></code></pre></div>
<p>This command will open <code>SC3</code> in a web browser.</p>
<p><strong>Note</strong> Due to direct calculation of distances <code>SC3</code> becomes very slow when the number of cells is <span class="math inline">\(>5000\)</span>. For large datasets containing up to <span class="math inline">\(10^5\)</span> cells we recomment using <code>Seurat</code> (see chapter <a href="seurat-chapter.html#seurat-chapter">16</a>).</p>
</div>
@@ -921,25 +927,25 @@ For (only) the cells that falls into this category, it goes back to Step2.</li>
<div id="example-1" class="section level4">
<h4><span class="header-section-number">10.3.1.2</span> Example</h4>
<p>(Note: SingleR is not yet available in the released version of Bioconductor. It will be possible to run it as shown once the next Bioconductor release is made in late October.)</p>
-<div class="sourceCode" id="cb703"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb703-1" data-line-number="1"><span class="kw">library</span>(scRNAseq)</a>
-<a class="sourceLine" id="cb703-2" data-line-number="2"><span class="kw">library</span>(SingleR)</a>
-<a class="sourceLine" id="cb703-3" data-line-number="3">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>)</a>
-<a class="sourceLine" id="cb703-4" data-line-number="4">sceM <-<span class="st"> </span><span class="kw">suppressMessages</span>(<span class="kw">MuraroPancreasData</span>())</a>
-<a class="sourceLine" id="cb703-5" data-line-number="5">sceM <-<span class="st"> </span>sceM[,<span class="op">!</span><span class="kw">is.na</span>(sceM<span class="op">$</span>label)]</a>
-<a class="sourceLine" id="cb703-6" data-line-number="6">sceM <-<span class="st"> </span><span class="kw">logNormCounts</span>(sceM)</a>
-<a class="sourceLine" id="cb703-7" data-line-number="7"><span class="co">## find common gene</span></a>
-<a class="sourceLine" id="cb703-8" data-line-number="8"><span class="kw">rownames</span>(sceM) <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"__.*"</span>,<span class="st">""</span>,<span class="kw">rownames</span>(sceM))</a>
-<a class="sourceLine" id="cb703-9" data-line-number="9">common <-<span class="st"> </span><span class="kw">intersect</span>(<span class="kw">rownames</span>(sceM), <span class="kw">rownames</span>(segerstolpe))</a>
-<a class="sourceLine" id="cb703-10" data-line-number="10">sceM <-<span class="st"> </span>sceM[common,]</a>
-<a class="sourceLine" id="cb703-11" data-line-number="11">segerstolpe <-<span class="st"> </span>segerstolpe[common,]</a>
-<a class="sourceLine" id="cb703-12" data-line-number="12"><span class="co">## Prepare reference</span></a>
-<a class="sourceLine" id="cb703-13" data-line-number="13">out <-<span class="st"> </span><span class="kw">pairwiseTTests</span>(<span class="kw">logcounts</span>(sceM), sceM<span class="op">$</span>label, <span class="dt">direction=</span><span class="st">"up"</span>)</a>
-<a class="sourceLine" id="cb703-14" data-line-number="14">markers <-<span class="st"> </span><span class="kw">getTopMarkers</span>(out<span class="op">$</span>statistics, out<span class="op">$</span>pairs, <span class="dt">n=</span><span class="dv">10</span>)</a>
-<a class="sourceLine" id="cb703-15" data-line-number="15"><span class="co">## Annotation</span></a>
-<a class="sourceLine" id="cb703-16" data-line-number="16">pred <-<span class="st"> </span><span class="kw">SingleR</span>(<span class="dt">test=</span>segerstolpe, <span class="dt">ref=</span>sceM, <span class="dt">labels=</span>sceM<span class="op">$</span>label, <span class="dt">genes=</span>markers)</a>
-<a class="sourceLine" id="cb703-17" data-line-number="17"><span class="co">## View result </span></a>
-<a class="sourceLine" id="cb703-18" data-line-number="18"><span class="kw">plotScoreHeatmap</span>(pred, <span class="dt">show.labels =</span> <span class="ot">TRUE</span>, <span class="dt">annotation_col=</span><span class="kw">data.frame</span>(</a>
-<a class="sourceLine" id="cb703-19" data-line-number="19"> <span class="dt">row.names=</span><span class="kw">rownames</span>(pred)))</a></code></pre></div>
+<div class="sourceCode" id="cb473"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb473-1" data-line-number="1"><span class="kw">library</span>(scRNAseq)</a>
+<a class="sourceLine" id="cb473-2" data-line-number="2"><span class="kw">library</span>(SingleR)</a>
+<a class="sourceLine" id="cb473-3" data-line-number="3">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>)</a>
+<a class="sourceLine" id="cb473-4" data-line-number="4">sceM <-<span class="st"> </span><span class="kw">suppressMessages</span>(<span class="kw">MuraroPancreasData</span>())</a>
+<a class="sourceLine" id="cb473-5" data-line-number="5">sceM <-<span class="st"> </span>sceM[,<span class="op">!</span><span class="kw">is.na</span>(sceM<span class="op">$</span>label)]</a>
+<a class="sourceLine" id="cb473-6" data-line-number="6">sceM <-<span class="st"> </span><span class="kw">logNormCounts</span>(sceM)</a>
+<a class="sourceLine" id="cb473-7" data-line-number="7"><span class="co">## find common gene</span></a>
+<a class="sourceLine" id="cb473-8" data-line-number="8"><span class="kw">rownames</span>(sceM) <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"__.*"</span>,<span class="st">""</span>,<span class="kw">rownames</span>(sceM))</a>
+<a class="sourceLine" id="cb473-9" data-line-number="9">common <-<span class="st"> </span><span class="kw">intersect</span>(<span class="kw">rownames</span>(sceM), <span class="kw">rownames</span>(segerstolpe))</a>
+<a class="sourceLine" id="cb473-10" data-line-number="10">sceM <-<span class="st"> </span>sceM[common,]</a>
+<a class="sourceLine" id="cb473-11" data-line-number="11">segerstolpe <-<span class="st"> </span>segerstolpe[common,]</a>
+<a class="sourceLine" id="cb473-12" data-line-number="12"><span class="co">## Prepare reference</span></a>
+<a class="sourceLine" id="cb473-13" data-line-number="13">out <-<span class="st"> </span><span class="kw">pairwiseTTests</span>(<span class="kw">logcounts</span>(sceM), sceM<span class="op">$</span>label, <span class="dt">direction=</span><span class="st">"up"</span>)</a>
+<a class="sourceLine" id="cb473-14" data-line-number="14">markers <-<span class="st"> </span><span class="kw">getTopMarkers</span>(out<span class="op">$</span>statistics, out<span class="op">$</span>pairs, <span class="dt">n=</span><span class="dv">10</span>)</a>
+<a class="sourceLine" id="cb473-15" data-line-number="15"><span class="co">## Annotation</span></a>
+<a class="sourceLine" id="cb473-16" data-line-number="16">pred <-<span class="st"> </span><span class="kw">SingleR</span>(<span class="dt">test=</span>segerstolpe, <span class="dt">ref=</span>sceM, <span class="dt">labels=</span>sceM<span class="op">$</span>label, <span class="dt">genes=</span>markers)</a>
+<a class="sourceLine" id="cb473-17" data-line-number="17"><span class="co">## View result </span></a>
+<a class="sourceLine" id="cb473-18" data-line-number="18"><span class="kw">plotScoreHeatmap</span>(pred, <span class="dt">show.labels =</span> <span class="ot">TRUE</span>, <span class="dt">annotation_col=</span><span class="kw">data.frame</span>(</a>
+<a class="sourceLine" id="cb473-19" data-line-number="19"> <span class="dt">row.names=</span><span class="kw">rownames</span>(pred)))</a></code></pre></div>
<center>
<img src="figures/SingleR.png" style="width:80.0%" />
</center>
@@ -947,57 +953,57 @@ For (only) the cells that falls into this category, it goes back to Step2.</li>
</div>
<div id="scmap" class="section level3">
<h3><span class="header-section-number">10.3.2</span> <a href="https://bioconductor.org/packages/release/bioc/html/scmap.html">scmap</a></h3>
-<div class="sourceCode" id="cb704"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb704-1" data-line-number="1"><span class="co">## Load data</span></a>
-<a class="sourceLine" id="cb704-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>) <span class="co"># test</span></a>
-<a class="sourceLine" id="cb704-3" data-line-number="3"><span class="kw">library</span>(scRNAseq)</a>
-<a class="sourceLine" id="cb704-4" data-line-number="4">sceM <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>) <span class="co"># reference</span></a>
-<a class="sourceLine" id="cb704-5" data-line-number="5"><span class="kw">rownames</span>(sceM) <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"__.*"</span>,<span class="st">""</span>,<span class="kw">rownames</span>(sceM))</a></code></pre></div>
+<div class="sourceCode" id="cb474"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb474-1" data-line-number="1"><span class="co">## Load data</span></a>
+<a class="sourceLine" id="cb474-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>) <span class="co"># test</span></a>
+<a class="sourceLine" id="cb474-3" data-line-number="3"><span class="kw">library</span>(scRNAseq)</a>
+<a class="sourceLine" id="cb474-4" data-line-number="4">sceM <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>) <span class="co"># reference</span></a>
+<a class="sourceLine" id="cb474-5" data-line-number="5"><span class="kw">rownames</span>(sceM) <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"__.*"</span>,<span class="st">""</span>,<span class="kw">rownames</span>(sceM))</a></code></pre></div>
<p>Select the most informative features (genes) using the dropout feature selection method.
By default select 500 features.</p>
-<div class="sourceCode" id="cb705"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb705-1" data-line-number="1"><span class="kw">library</span>(scmap)</a>
-<a class="sourceLine" id="cb705-2" data-line-number="2"><span class="kw">rowData</span>(sceM)<span class="op">$</span>feature_symbol <-<span class="st"> </span><span class="kw">rownames</span>(sceM)</a>
-<a class="sourceLine" id="cb705-3" data-line-number="3">sceM <-<span class="st"> </span><span class="kw">selectFeatures</span>(sceM, <span class="dt">suppress_plot =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb475"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb475-1" data-line-number="1"><span class="kw">library</span>(scmap)</a>
+<a class="sourceLine" id="cb475-2" data-line-number="2"><span class="kw">rowData</span>(sceM)<span class="op">$</span>feature_symbol <-<span class="st"> </span><span class="kw">rownames</span>(sceM)</a>
+<a class="sourceLine" id="cb475-3" data-line-number="3">sceM <-<span class="st"> </span><span class="kw">selectFeatures</span>(sceM, <span class="dt">suppress_plot =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p>Index of a reference dataset is created by finding the median gene expression for each cluster.
First, chop the total of 500 features into <span class="math inline">\(M = 50\)</span> chuncks/ low-dimensional subspace.
Second, cluster each chunk into <span class="math inline">\(k = \sqrt{N}\)</span> clusters, where <span class="math inline">\(N\)</span> is the number of cells.</p>
<p>By default scmap uses the <code>cell_type1</code> column of the <code>colData</code> slot in the
reference to identify clusters.</p>
-<div class="sourceCode" id="cb706"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb706-1" data-line-number="1">sceM <-<span class="st"> </span><span class="kw">indexCell</span>(sceM)</a></code></pre></div>
+<div class="sourceCode" id="cb476"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb476-1" data-line-number="1">sceM <-<span class="st"> </span><span class="kw">indexCell</span>(sceM)</a></code></pre></div>
<p>The function <code>indexCluster</code> writes the <code>scmap_cluster_index</code> item of the meta data slot of the reference dataset <code>sceM</code>.
This step has two outputs:</p>
-<div class="sourceCode" id="cb707"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb707-1" data-line-number="1"><span class="kw">names</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index)</a></code></pre></div>
+<div class="sourceCode" id="cb477"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb477-1" data-line-number="1"><span class="kw">names</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index)</a></code></pre></div>
<pre><code>## [1] "subcentroids" "subclusters"</code></pre>
<ol style="list-style-type: decimal">
<li><code>subcentroids</code> returns cluster centers:</li>
</ol>
-<div class="sourceCode" id="cb709"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb709-1" data-line-number="1"><span class="kw">cat</span>(<span class="kw">length</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subcentroids), <span class="st">" chunks </span><span class="ch">\n</span><span class="st">"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb479"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb479-1" data-line-number="1"><span class="kw">cat</span>(<span class="kw">length</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subcentroids), <span class="st">" chunks </span><span class="ch">\n</span><span class="st">"</span>)</a></code></pre></div>
<pre><code>## 50 chunks</code></pre>
-<div class="sourceCode" id="cb711"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb711-1" data-line-number="1"><span class="kw">cat</span>(<span class="st">"The dimension of cluster centers in each chunk: "</span>, <span class="kw">dim</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subcentroids[[<span class="dv">1</span>]]), <span class="st">"</span><span class="ch">\n</span><span class="st">"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb481"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb481-1" data-line-number="1"><span class="kw">cat</span>(<span class="st">"The dimension of cluster centers in each chunk: "</span>, <span class="kw">dim</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subcentroids[[<span class="dv">1</span>]]), <span class="st">"</span><span class="ch">\n</span><span class="st">"</span>)</a></code></pre></div>
<pre><code>## The dimension of cluster centers in each chunk: 10 46</code></pre>
<ol start="2" style="list-style-type: decimal">
<li><code>subclusters</code> contains information about which cluster (label) the cells belong to</li>
</ol>
-<div class="sourceCode" id="cb713"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb713-1" data-line-number="1"><span class="kw">dim</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subclusters)</a></code></pre></div>
+<div class="sourceCode" id="cb483"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb483-1" data-line-number="1"><span class="kw">dim</span>(<span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subclusters)</a></code></pre></div>
<pre><code>## [1] 50 2126</code></pre>
-<div class="sourceCode" id="cb715"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb715-1" data-line-number="1"><span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subclusters[<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>,<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb485"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb485-1" data-line-number="1"><span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subclusters[<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>,<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>]</a></code></pre></div>
<pre><code>## D28.1_1 D28.1_13 D28.1_15 D28.1_17 D28.1_2
-## [1,] 6 11 7 38 36
-## [2,] 1 16 17 44 38
-## [3,] 28 17 4 45 25
-## [4,] 43 41 40 33 22
-## [5,] 36 27 29 11 35</code></pre>
+## [1,] 37 25 29 19 30
+## [2,] 44 26 41 12 20
+## [3,] 27 17 43 43 41
+## [4,] 12 31 13 8 11
+## [5,] 20 18 16 15 1</code></pre>
<p><strong>Projection:</strong> Once the scmap-cell indexes have been generated we can use them to project the test dataset.</p>
-<div class="sourceCode" id="cb717"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb717-1" data-line-number="1">scmapCell_results <-<span class="st"> </span><span class="kw">scmapCell</span>(</a>
-<a class="sourceLine" id="cb717-2" data-line-number="2"> <span class="dt">projection =</span> segerstolpe,</a>
-<a class="sourceLine" id="cb717-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb717-4" data-line-number="4"> <span class="dt">sceM =</span> <span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index</a>
-<a class="sourceLine" id="cb717-5" data-line-number="5"> ) )</a>
-<a class="sourceLine" id="cb717-6" data-line-number="6"><span class="kw">names</span>(scmapCell_results)</a></code></pre></div>
+<div class="sourceCode" id="cb487"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb487-1" data-line-number="1">scmapCell_results <-<span class="st"> </span><span class="kw">scmapCell</span>(</a>
+<a class="sourceLine" id="cb487-2" data-line-number="2"> <span class="dt">projection =</span> segerstolpe,</a>
+<a class="sourceLine" id="cb487-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb487-4" data-line-number="4"> <span class="dt">sceM =</span> <span class="kw">metadata</span>(sceM)<span class="op">$</span>scmap_cell_index</a>
+<a class="sourceLine" id="cb487-5" data-line-number="5"> ) )</a>
+<a class="sourceLine" id="cb487-6" data-line-number="6"><span class="kw">names</span>(scmapCell_results)</a></code></pre></div>
<pre><code>## [1] "sceM"</code></pre>
<p>The <code>cells</code> matrix contains the top 10 (scmap default) cell IDs of the cells
of the reference dataset that a given cell of the projection dataset is closest
to:</p>
-<div class="sourceCode" id="cb719"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb719-1" data-line-number="1"><span class="kw">dim</span>(scmapCell_results<span class="op">$</span>sceM<span class="op">$</span>cells)</a></code></pre></div>
+<div class="sourceCode" id="cb489"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb489-1" data-line-number="1"><span class="kw">dim</span>(scmapCell_results<span class="op">$</span>sceM<span class="op">$</span>cells)</a></code></pre></div>
<pre><code>## [1] 10 3514</code></pre>
<p><strong>Cell annotation:</strong> If cell cluster annotation is available for the reference
datasets, scmap-cell can also annotate the cells from the projection dataset
@@ -1006,18 +1012,18 @@ neighbours (scmap default) and if they all belong to the same cluster in the
reference and their maximum similarity is higher than a threshold (0.5 is the
scmap default), then a projection cell is assigned to the corresponding
reference cluster:</p>
-<div class="sourceCode" id="cb721"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb721-1" data-line-number="1">scmapCell_clusters <-<span class="st"> </span><span class="kw">scmapCell2Cluster</span>(</a>
-<a class="sourceLine" id="cb721-2" data-line-number="2"> scmapCell_results,</a>
-<a class="sourceLine" id="cb721-3" data-line-number="3"> <span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb721-4" data-line-number="4"> <span class="kw">colData</span>(sceM)<span class="op">$</span>cell_type1</a>
-<a class="sourceLine" id="cb721-5" data-line-number="5"> ))</a></code></pre></div>
+<div class="sourceCode" id="cb491"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb491-1" data-line-number="1">scmapCell_clusters <-<span class="st"> </span><span class="kw">scmapCell2Cluster</span>(</a>
+<a class="sourceLine" id="cb491-2" data-line-number="2"> scmapCell_results,</a>
+<a class="sourceLine" id="cb491-3" data-line-number="3"> <span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb491-4" data-line-number="4"> <span class="kw">colData</span>(sceM)<span class="op">$</span>cell_type1</a>
+<a class="sourceLine" id="cb491-5" data-line-number="5"> ))</a></code></pre></div>
<p><strong>Plot result </strong> Compare the annotated result with the original label in the
<code>segerstolpe</code> dataset.</p>
-<div class="sourceCode" id="cb722"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb722-1" data-line-number="1"><span class="kw">plot</span>(</a>
-<a class="sourceLine" id="cb722-2" data-line-number="2"> <span class="kw">getSankey</span>(</a>
-<a class="sourceLine" id="cb722-3" data-line-number="3"> segerstolpe<span class="op">$</span>cell_type1,</a>
-<a class="sourceLine" id="cb722-4" data-line-number="4"> scmapCell_clusters<span class="op">$</span>combined_labs, <span class="dt">plot_height =</span> <span class="dv">400</span> )</a>
-<a class="sourceLine" id="cb722-5" data-line-number="5">)</a></code></pre></div>
+<div class="sourceCode" id="cb492"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb492-1" data-line-number="1"><span class="kw">plot</span>(</a>
+<a class="sourceLine" id="cb492-2" data-line-number="2"> <span class="kw">getSankey</span>(</a>
+<a class="sourceLine" id="cb492-3" data-line-number="3"> segerstolpe<span class="op">$</span>cell_type1,</a>
+<a class="sourceLine" id="cb492-4" data-line-number="4"> scmapCell_clusters<span class="op">$</span>combined_labs, <span class="dt">plot_height =</span> <span class="dv">400</span> )</a>
+<a class="sourceLine" id="cb492-5" data-line-number="5">)</a></code></pre></div>
<center>
<img src="figures/sankey.png" style="width:80.0%" />
</center>
@@ -1051,9 +1057,6 @@ reference cluster:</p>
<div id="ref-traag2019louvain">
<p>Traag, Vincent A, Ludo Waltman, and Nees Jan van Eck. 2019. “From Louvain to Leiden: Guaranteeing Well-Connected Communities.†<em>Scientific Reports</em> 9. Nature Publishing Group.</p>
</div>
-<div id="ref-xu2015identification">
-<p>Xu, Chen, and Zhengchang Su. 2015. “Identification of Cell Types from Single-Cell Transcriptomes Using a Novel Clustering Method.†<em>Bioinformatics</em> 31 (12). Oxford University Press: 1974–80.</p>
-</div>
</div>
</section>
diff --git a/public/clustering.md b/public/clustering.md
index 09d9e64..7395a70 100644
--- a/public/clustering.md
+++ b/public/clustering.md
@@ -241,7 +241,7 @@ adjustedRandIndex(colData(deng)$cell_type2, colData(deng)$sc3_10_clusters)
```
```
-## [1] 0.7796181
+## [1] 0.6616899
```
__Note__ `SC3` can also be run in an interactive `Shiny` session:
@@ -393,11 +393,11 @@ metadata(sceM)$scmap_cell_index$subclusters[1:5,1:5]
```
## D28.1_1 D28.1_13 D28.1_15 D28.1_17 D28.1_2
-## [1,] 6 11 7 38 36
-## [2,] 1 16 17 44 38
-## [3,] 28 17 4 45 25
-## [4,] 43 41 40 33 22
-## [5,] 36 27 29 11 35
+## [1,] 37 25 29 19 30
+## [2,] 44 26 41 12 20
+## [3,] 27 17 43 43 41
+## [4,] 12 31 13 8 11
+## [5,] 20 18 16 15 1
```
diff --git a/public/clustering_files/figure-html/unnamed-chunk-10-1.png b/public/clustering_files/figure-html/unnamed-chunk-10-1.png
index 6d5ccf4e847a820e02ffd5c35a267e31f4cbafd9..ff9d75be9a8ecb42e7b7d7c2b52fe081560ce8c8 100644
GIT binary patch
literal 106353
zcmdSBXIN8P6fGLCU_ogLC`|zY=?c<|g(6*$UX>yx6zM&nsC1AnU8y1jqyz|E=`{+{
zAwfeCLI^!VC~t*x-}mm%d*8c%-u^xhO7>oB?X_kZW6YTo`9xdw(uM06AP~qUwZ}?&
z5XhPP5Xh;vbClpWfv1(?z>o7UADehWAZ+2}KNRr`8+H)L4Tzf31AV`&)mf7mi%AQ@
z#<6Lj%+?dnNnstk#+gr^$X6QY=swo?-Jp-Ua^)7i$hn*+H}2oRz{z=o`v&K$aJjd|
zd=L02>0jNa`>6Ei)yH>_xla#2O|fv*u^TtHXW#w0+d$K8k<&MeuWHoJ-Xw1QLPK*c
zj*~oshTJNek2Fl6XTZWB5LVZKiU0l<TBj09MgG;Z)3kFG<i9Xeoc1ICgs4C$*vUUb
z>F)n;+*02zJhvW&{kJ%n$(e{+DlRS#x429mW-h&p`hZJFL<Dtmg&bfxIDCXoCa`Dw
ze>2nnnf3nvW0bkejgV*O{z$pjO{*n3z^f;nh0|Dkl*zld&UkL!ua?=yb+*BvVqBTq
z#06QcOn3hE+`kR%+lS95M#-nz#zi-`L9Lc(>+g>Y44$U5@bJhn)0TAMy(H_1bGni(
z=U-(mOw*`B9&mz%f*tjKy3WnF!i~x6#Tds(-dU>d!U^$N#Pm+)$_s^DUyCCh@~Cs7
zd68^6SKV31ao$GK#3JIW#H3QGJ#j5xAD?#yC&tqx&BNkuYXUWc8#c~LbUDCB#1UhR
z-ixoc6`pu_AVy<-K8fDD=e=G?cAPdd&NdrvWnKM>@y1!#jG~;Ss~6s?7v}w%wMFB0
zTxaU(-aW6Hy3VTh#nQesVWVrUIqs@srlm-%H8j9+zIJ+SDzM@d`4z%XQ?PS&nKo8d
zR<^XXWDY17NSK+MnaTQZ+A8ESCAij+_Hh-eb=RfYH0!S#Ngwi+!D}CK;ffaD)UI58
zedF)sU&9)PDPwO2fjn*(iOlHeXkP6sKE~+wz-aRDU#TeNR0j6<_q)2@nYhFwJ6{jg
z_eDDEVgA-=;dZ#C19!pkn3<SFy58%W9e!gb-c@5Nlv1=1hjVCk%o8g9-T8&FcC0CN
zt?(LlUJp|wksyv%Z^YwE-GdefuHBUbQ-nTx3yIgIfA@QF@kPUw^i|EXeJreADK^ei
z8u|NuU8RRd+uL4s(}NBnGq(#Ir<@RpKA5MjL%sDSHuTe*i9R!CM);3-{XETEn<<}-
zW8BN`Hi!%(XU#VZ85tRCiu$?8bF{w(b5vDVGhke`0~Tht(HiZe_3YE!_>S@kKLmol
zyJ}P<z;2<`wJx)U)Z$Ui|3tmY)b7?A_eKLo8$NhzO<zPnJ*MCl4mlO+{YA$8^Q}1S
zi)xb+{dXi7**=~zF~l(6YPQr-x*+4Z6z}LIHg#FH+1ZRutdrrnBfpUCieaMoWvpcd
zlX5~tpF_xx)FFe0g1aTDJ&4JP+bWjMu?hO-c$qj{g9*Oz&kHzHxp>3u8ZG8F7#kuN
zdd)9}-X<o3PvH5L>o%^_0mC%Bnyv%$O5DlZ_&2u{lOEfCug~;>BjWxB5@Vm5I;ui-
zO>1lrQhgh8-QL?Q*-NMJJ`K-JHIuln^#z_LZ-_kI+#Pk+?nta{vC&r92w_Ji-BQB6
z+9JC?64y|o<voOQLJgAKr$4xIzrvzhae*4)V@41DI_Mgj;2p-j*JdTPqb2we)@<F<
z>%^0=8sEXS&3tWaO1pSOV8Z9uR=}Tt903^)WZy)`2fjEPs8Yd|`QU|4ewRS^jG_`_
zsIrotol(=GR_jj<o0O>*=!)gUs5?rHJ_UVv+d5E2t^43xoEQ1^Up^K+6`xR9U7b`^
zvR3#B8e65VbZw(!qa!w{V2P*Xao1MOSheL&fP$-cK=7S2xJW&fexZt+k(aEyb!JkT
zx=JEFi=gyY0j4<T73~i}Jl?p5ao<=1sZh^xg1}6kVGTH=t+R_uAufC5Xg<}o+{esR
zzs#AL_mdB&U5wVPmsBH**YJaWqZ;X!S>x_pUv3??Xx}Z#tUl7zbC!8Na^5omXV$Gz
zldoSk5_dV%@&m%sD9>S_`Q^TNU=P_mr1a0NGhb3m+zybBgiq^4ml%2ed7_Exii3)c
zJvB7Z&B3h|t@U&%^NPV%l!`|t(P#-c_lURspND4Q)7o`Ed^I9DI^qn*OiSS_dqq5l
z2<K#>MeU(MElo{o;^9d^IYpiUZdf|$%*b%HF7Vn<u|(Xm-?UC_Y8(^lgPzDGxSnH%
z6MWh+gm?LLw?KD12T_hNYGmc|YdqRj!pC4X(u-Tn{hN{N-&+!QRMhg|xiV)M9w%NY
z9j&%UT_)jACJ6(RP^cxAm6dVhTeu&nEuA%Mx$45hu~&CsXr?Nl-L92fTy}TXmEOns
zFPp&S;l_yia+cFaZ_Hw2E7f>eNOqFEoUe8siY!m}$czyWAM!*PxUAEYk3h<qJTwan
z%TKt9AyrALzL`r(ghOFeqBLE}y}Hps=F%9S#9FnPN$akDHbq!a-No5wX;R(pv5eg-
zbFqU=HF_osCHi^yH}`^QPd}K5#QGV#F^~sFlLO?(pALMwBd&!x(28Qbjhfn|>?8m4
zJl558+ap+{6T(zD4dj_h<0fCIFNUbhT~kSai_>tmnMqRO>d!C>%+pM#!ZHN0g_S(u
z<x`Y$mt}1<S-W3hwE_xVulslti^e~H(0ngr==}G?rP<g{ZT-?ER4zu$FHOC$%h?^;
z>^;N6AP}4#k@z4=r!4Z8yZ&5*t1SbUqj1vAW^x#pdP6?Fu_#9G;oN$-PlIDU+J$g=
zhZ1La7aUZG{(8A#X=Y|7z6O!{OKgguZm&x0(v+wwN_!`>WM6GUHyOjS=3Hqm%<;pF
zd`_X=4??@27bARFd8^c%;Q8BGia+l?Z=8sC;pEKm$gaUMMu*WJ@!1b$`Oi+lm{m$=
zUAwrOefoDVMlLP9*5t7XZl-tf9fm3JeSJlK=g{^@NPN5YZ398Zx&riLS%cymoYK5K
z(%+udI0lT>Z0#MaU0x5|lp`GMZGmOp!x&|2H_mFas2LT$N{d>V?rEs*d|2eSzr8Hk
zdV-LsFM>mP=HXFgS>aYDkz#OFQc=nQ?oxP&s9$6g(9+UsUQn(X8#%eUK8RA|b^=OA
zuWx6eZ11M1+XV$>jS|4JAeV(ecDgT-DewNLBdV;dVyrI7aO}Jiw`P7154v)AU_kTJ
z6F-uXCo6AS|AGh7x6G3Kl;1vivu$i_(luYezm6??1^9fWF|W-+>FDSv8U~PqSty-y
zXm?M~f`>gSM=Oy#iW3SakaCtTHS&=Mkh*c&FNS&C+aj&Cj{NT&Y4Mq}<iGr%LYDsv
zNDY8bh^lHLw>ztB9M(Ta&uL<Tyn?obhoRk1pHz%XN=gPcqvzt|u=@Nd%gc`A3nC|>
zPL6F}K#mTI@9R^C8)_JuwRi+CT(1mfsi^psIk-4kZ69`n*(a7f)XOWha~n#vwY5%&
zj56<~gUGCwq|w*{7WaIAo24&$Ov2_rG7K-0?_4i<Y&f9^#dme7R81-TjwKZN(zz?4
z>Qi11DUlIQxbaQ$ZLHT$`>k3PkKF0HlBM~vnd)7#o{j4r6PJ6}V?X^m**{fk3U(4x
zcV)!sm2cY$qK|iUudq32k)M63L^oF%GB#DmYNseo{)Hd^x%G+G2jP3L1|n;qgALtA
z@bP`<iSctqLE;blm$q`2yoX_gPt<Omu3cKbwZ_6};d(6OXIbx@_LEBho8ntrPwyhB
z=}UZOn`HJ=8>5o0S!4>oTuFu{5UINpRO~vo&d!2y*h`2?pT=7D@!*9bYn#ma>dv4i
zQl5(gUoW2IQZ4{4c<;%}Tku_xh|a|OOc#_y%!hq6g==eSIt+5LL)NbV;DX!vBW0*=
zcQ^gPMG*1U%Wk$|Z}%*1?FFGtp)o&Alcp)=Zkt+JVWy_;cCE7aE^Sp;S0l|`BMc}Y
zp<$}vRP&QPERIwt+Me3Ln|<)6rK9SG(`VSIQ*V2Ze0^><>q?yOO%lIw2GEa(GnA0I
z_fr!S4hYi#c!<P@-DEMce-+H`oZwpFv@JQedSyyT=&APnA+RATV^eUrQ1zJf?|Aaz
z>8cxK9egm0aJ^SsS9fxHQqRa#>2khn9W<s_;26E#Qu^nLQo*b%ho1$odxvxD<WbyN
zqa!MamaB_VjJn|HoOQuRAO8C&j7@$u|6Pin`ozvDNT~e<jsx-o>6$7^GDU89_S-F)
zyKqDpAdziiuOT#$w&(LCm~dLOvz}x&)jPdP7Wa{CA;Z$q6GM6T+GQS`Pr(a&dtl>T
zcoo~EFJ|j0nWocP?Slo^ChPS+@TI7?m(zhMSSi6_hU+WjDtfQ{(h9D2(G2#sD2t${
zbGMI9`QB0Tv^ZJsf4<YGMBmidcmj=fUGUJo;z;Hng?hKs`rCysfziZIM$5o8{1=+q
zg~9n#U(;G8+spqZot*CZtybuG9T>Y`PVv3EH{=oK*g)Jq+94h8?CiX#c7(IB-e!yj
zQvoxme@n&@Z9gA{b}QV=9AuGnHUHB5A_ZZ|udZKa@F?5OO3r6>;@`i2|F=y7P<<GY
z_ji8>m$p)I>n&fea-Nb>N7M*Wc+{$T?8V*mAO*#Fe)6Dm=bm@o-L(l0KJ*B_)7!0f
z6uT|Vsjevzr}5jv#?i&a<-^X&+zDWA7=ZTzWApjp;fb2I-cxv=*gI5KCxM04060~x
zxK<K(WgMbULGDX(RSsh8vgybPP06`HDaW3v=O*YM@@BSZoBXn&#bAluMai3TI@jQ3
zQ#KP(+S_wkr$oR$Lm+X2lybZI=E4HHuG1lYJ@`HT(YFu3xo3rmP@jCv4?ec>@bGxP
zYT-IgH2pT~?^ik#N2op6N{JQ|6MG~?dve?L-B;Z(zZ~EFZAUtjDgV*sfIlWsWfmdB
zAtT|T!9ly~$>-ze$akt<0FfsdwIpI*|77yB`1M$BHKh*sEWHx(d-txM{`R$${1&14
z@4%*R$q@kG1Zi2a%NWYm?VtZZo;<?bZ7$%@AFbHP|7aR<us#9BZRc*Zoos+8CD{+a
z6$2sL5V*KPft`cv|KlxfY(5lHPsXN9;f59Cq{9}(*jAHurPQ4}zx~l)HBRPkx<+{*
z#vO-+j+gHQG%s`|UM;Oj)VH-@^g-W~lr-W`d1rBhypp+ubL*%JQ2c1Ak(K4K74}xI
zadLx7GGG2od29WadPdRK))p|u2|IF_h3s}+|7WiZH^dQ1U1C3t6?bCz=;&}0^~^k-
z>mI@G-rn95_fBqPkAxhTeI9k{k1eeK!Bj~@eG4h&J?vV?(!KG->AwZuqCBYPq<$nI
zu``g9Kc)jmJZENqX+WMOw2u7r;}QL2zQSErgf$`S<O!){@={S-$p(F^Y;y*AXO~#X
z(T03~G`OF6m40dWAUs^ZEW2YzP9$@XogAjfpS}g3e)#aA{z>rAvY$4w#nFdN_5oL5
zd5x&Fv~<}N`6h^4Wbj<>)tsfl!9f$K$T-tTd2T?Y!_UZk&fu1yO1%<IfV%$^5XfRf
z?#%@ce;7=mE(7N!<9pfvPfAlsNeSTNpHfefn%~9K|Liq{(=u~&<FWM^f*CXz18_{c
zFj-QAtdD^g;Y4jYNSzo%{#za&@~{8b%%tH52i+k|QH_4wdy?@4SjBNu9yn->czJqy
z1_sKiC4QspcJJ!yDk>^s?Y`#fLLND^I06##83Y+P9IjoQ#2q;%lhz*_8+$dn^V{b;
ziz}l54f-N0ZJU%>1xh@uiCHEN5}DxS%lipT<mcngQKEk%kVs@hL&J<QJzZ%T{Vg+(
z^2#SA`iqN;$$A0;0*c0mEgPD0Kda-|n$!!ON;aZKURsQ2=jL*($dZSE$lW{r@6i{-
zQh0f}rK>PcCtq(z9^BadA<=_`*xJkjtRWEFb!pZYuHLL7G1#FdL1zcA)kSbPFUgRR
zrSO#t?JxoIK%vE<kPzlV#{kkUeqm8hA77Y*^wf{+<?a&epVna5aYSvEdx@B2PyP7v
zBn2Baa!<F=ZC1Y{!@Oq3IKx?s{zM3zbGXsQp#t(Yv(4*y*MN{PJ$3q>06&v53mVtA
z>6Twy-k&}Eni=VF%j^PggP{qQSqC`Nr(Y)r=C?9IbtJk%B>C<S%XdIYu?1*%Gx$e#
zoZtJuT)gHe^jd&Ric=jvI)eUI*d6kc+Y;`FD#nx{IP=(#7L2b622?aobL#C1@HaF3
zOi9dsR!ujW-6Fs#<D=9;JUmr)o&3!DWlpfdoTY35k;eyfZmNaqCRdk#@Z<b*B0ei=
z1lWs@@{A>@Bh+iAcTg!z{3(4DMknUr7fw4zlmGD3$7GL3I+LW_S9N`+0xEs5Tjv1E
zf4VE6{rC1(m!o>J?gJs;7C-l(Ah~m|!$eNxtaa^=k+bA1T&Sn(y)a&_i?rX#mPf<Y
zvnO`S+`LvvEd<ioRF(d9T?-|pNT$8GdizrQzJ<+7o9^8vKae&NrtYi)g?H063-xX;
zk)5{fw`!<jK^&Xx?%L5YekUNUj`1nRm^VdVIzgbMuOz68s9Y8?zvYi1Hn*g4M{?Lx
zX3HB&y93tXfjn5h*Dl)Rj#a4`H**!lv&$J-0x$lMon44M3An5;fI;=SXYK9nArSZA
zn3N(nK~Ea)59b1!(J8xy6F8cwUx7JG{yCQ|S`(0>hcf`_0@~8f6odV@Gj0{)g0sV3
zdm5!Dc~wAr6_{j{xp>#W;2_&P3mM@-<QORreitGXK#E;mb*`J%N>qYo_b;$^n^;(k
znu-tvuc3@l#^BMv9nw}vDKW8X`v9f{AS|}l?sz1|V)a6Z&;F?LWSURG@UP_n#)#_t
z^Pu?z$hKi`wsH8Vmr&i^14Bz>?u;MsMXj-Jf+L!ooYX6+SyGO<Gx%b}iG_(oLv51H
zQ|N$f(MR8A_|J5IaJI!4s2A!9r;!eiZnWFqO`lcq8k>T(VsJad;yb~LxhUDV5!_B0
zqD#lN!h5YN9)21?#T%HD&^%X3JExkW$DcX)qIxorrgj<+)=VTF2I^#j80k61GP}yr
zkQ$NLD1awJ07y6u#nIo-<2Xsz8Dm$$LQAIu<K(|exF3k!ye0oJQ@d?+g{E?(2kX)^
z+==Kecb4*ij;?!SFjG=Qk`b%tP_;2jkuQADQa(4h97B+e6etPsV@F>KuH5{*=1ZO-
zw0(~5X%+MBt`8|GDGPXw61U+SNVkE?=g7JlQ+hh6^N)ePL!Ca{guB_%Gs%Ca1h0{w
zTKD_#io>Pr!|3R!DSXU9+-qKH%Cpv-f!qC)Tehqip5MT*EF!BfyLl{Fo?%H#SdER#
zaJk2wghp<D-`?In)xZ4T>s_FLz3FrhTIfqLlC-Mos~veU;u!H*xDWT^wsPUuDFy+U
zSU!Vl_fX2wf@k5y?q+GIi}r%0n>k~G=fWA@rGbHgnD}@a(kyvR5HvLyZMMmOYjiM8
z^L@txtnsJw<3Za$8N)V*YRek#jRh&LZ+0Gse;VoE+p{B?J`>}2*Dkg{#*}angB6o{
zuS6?Pjh`Sd;5Zy=&zU8z$7W}<<tKffVYpR}i;5`dlUeq8(Jq!Vp6R?|D&IJ}4b{dN
zlwatBSruDy)sG?dO7yjJ<fK=LCvWH1cy68Rg>Ny@vck8}8;O-{4*;2Qzr|`-V5dHH
zMJd^(5pG)VVlcH0<sY+7!8Mpd=`xca@wx+;S21ogdlI^1E>Iru0mC!_7qEcx1SQp4
z%-0>*1Y&Hzh2U?g{AK6si)QgV?oLnht=Xje{#IG_E_j4R8&|6FSh@-h*4m#x!9k*c
zzj1L<x0}_u3Q4B^@lfpTuoU>3fXKO{trzcfwPevlx=>&FOYG-0?wp8%61bF2pTXOQ
zzlX$jIXUk-Jjvzm<qA2$opbMRw#CPQRNcSRSx?K8Zmgs?o_we->*&?&vy!P|JZ=gA
zj#S*?52H)P*4?JC*};+<=aTh^76Mo4KKY&mj~H6YgC2*v>Aa5lKi@b;Vk(6)<JDbS
zuSy4(j)-f;-pN_o<A0gaf|WuBN%VaV7g<nRLvB){P$xm{9C>=FICz!e<Tnm@mD<fO
z6JPKXDldw8E$Aw{8WNUj!}j{#ic%W|jC+r%S$Gn>vs!R(%8j-!y!}p#{!ccr0(<cY
z3ZHLT-sWaf<2SfhL<$(-v!a6ig~Cxr!g2BOvT;ckC`+`7=BDm-?vmOmhdP3^JRxY|
z4?v<ELFFeA`(*^(oT>^>Qi8sh2PP&!FGBPEmHjgnsU-n6PoF*o1rlp(&dfnmAiUo8
zMz-+bpS?UnZoa;}Ju_ooqJMp8`ow5gFH*p4llvDuv)>jjmi{!>=~!bQ&+|snLB-NF
zX-}tXb`gUCKh)CE0o&R;Wm`P5yc6J<5s+gfoW|B&Id=EdNm}H315v!&)!hw6WQ@Fg
zZ7SRw-ldVOht}@Go!%)}l>Iiiz7IE(97<u5kd$0nT#V|>i#Yw@{oo5wP8k-ra21S<
zaPCEJKIBPC&&<q^|L>H5<@G#K&sGRFy*-NeNrP(SDTT+~ZCDWh6ZE;SYrj(cmma~c
zco~3!#R0%>tSZLc&`tixN{54vWcpJ0-4#8e!R*UFQVM~)g4a%VOofsHmJH~@+6)rF
zXF)~~24{a6ZSQ;??p-`9+iZrL?7=mbBlQD?l6tcgf&=XA7W57gpJ#N$de^)Yo#%b;
zYRFcceITl+h^ju}G%x=xKW7T<HiR3ZvZTc%Bx>Q3Gv`x!?b#pCxl5?e)=cAFU0sVD
zojiJ*mo1c%^>kZu8;Yj!yQIS~ArA8Xf8{v+Pj?izqtx-QxBZcNiMS}|u!DFiiv|w^
z!9T8-n-kz>%y0D*f7YR(faw=H@^kLy_-qrevr2YFMEq6F%Ex=yEDxRJmeBTCh~gJH
z6a$^z?$IUwe5DR=V3hHX|MDAf{*fAz)xSxebM7|CAzvPTy20s+3iNwi*mvHdP`^-5
z+Q{-{zWfj!9b3av-^IP4qimro<lEQ9LCzSRn3#CG;^~U=T|=$&8^E{%Tf6{#2y%AT
zgyOyAcmrNGQq<vOE0cO{J&-dLh9{(Mg10t-#o+(J)h;NV1LK;{#*GQS<@N9T7hb%0
z0hIjeYR3%Aa-kJx>(@%GrSuEia=acQ`nj?|<NJy^AysoOz~{btAcJ;SCkOBYAGw+%
z9^a5D?e6M23w9M)9b(KBC$5!-(+H~uCU#I2vN^9-gduO*GkvglGoS|eu9-8xYqmr&
zV@WWD+>nnV76?$dQr`&(c6J_M#`;?-<cg%I)2y<en6uOX@KBxGDZRFL(+4uMuu?;S
zX}?N2!3KUS|0`VY1lG5q%MjVxyg*KLp*;<l)YqpX5b85072%2Y-QC^&{eVR7Mpg6i
z?3^5S78V;>OUR=Kq2zaF_ri_A@pu=L5afK9bauq!@p>UFMjZxnakiAZ^~4!UKSnw-
zA_ygkXAXiJeX)fj=`V)-ZO)>TELSY2{Tx-%7J`iZ3!6`%r`H9oFOlEtW$xghmPyFo
z8%#qcT3Ly^Gzs}p2q)s^>Uz0U0)o1G!c<?TApkCD;1`nl*`9xfcT*oISuue1vxM5S
zo-DmyK#d*>uNYSK{&LaF34W{Xl$75|VSTRr+sA5FU^M^r0;sr`$W@^Zo<*o^LoT!b
z_h`R6D{5=Mgkf5~g`d}u7=vvnU-JK-$JRlZrYtYHz4eE3ur^#>#BXnnI(ajDQ}~Vj
zkJr`I(mM0thxkznti&$JCZ+O=U6VkwNBh4Pf{vEfB|y_qoV%~cTey~wPym{pH@vYK
zJ-U-dxU8v|+iR<xtALjpTK{rteU<Zssncu*9|IX15M^EA@aKG-4`@L&^gwEoWFYMi
zPtIc3umotTeP2r<p|ZyRg}eVf4zI$~hH3D|i5zc=gy6?v_+~<|8|`WJ5}Kg7Q*K9z
zA*8wx(vNTjacSxF!52)7j4%QbRx#?t_P7$f1^}aWT-7uOX{`qfnBzlC2x%!~Biibq
zgID1>oQ;JA=<kgl3w`#Aq{)hqL!3y<zd!Ty^Rh;~C(jbzB&5Hp(C1eqRV$LxQ9+9w
z#~U1qd%Zd>d%c+BBVq_v64q`?+CzoFY;3T@g&O_+{fY<eia~pu3s(DuRx<Ac$ZiDj
z%TRf7_J|?(ADDI{@>|I99F?NqR?_j`_@f@?t)KC*?Wei>zvg<DM~YjIb}AH!GoHr>
zsN(~x;~gu-T^q&Sp;WSTEEgwAodh&&`>*C+K){xY0bA1=jQ1f~9W7WX&0{%^|221`
zautuo6t~1M`(t%2yNHUDgMZ0v46UoH12Q*Oik<bRsZr@DS>=|0jTxnoi{$zj|DD)+
zd<bhLG^~-pi&4FU?H7man}IQWTeh-4T_GplnSRqi{1n2l^cGHJi47a2rtBTl*!(49
zkeDSOC~@vJ(1zw{rC(DVfqmfg_|p*?e%vhUyOtFpC?s_0lOPyj4pv%P3O5v}-fQKp
zhQ~;Rg>`+I)@`ZXJjBI$9v%3z7gK%3ojdyvz&5&T92_Bj4j@1(IU%NUL=L{uz(oCa
zVb8!mXWw3r1PZaU1nCf#QPe_Uy6{$$M{G3@%&<NYb7y*bI^eKS3|Uk>Jd2I1@_Zm$
z+b~NQ$L%;FWI8x0Sou{&+lZuKvIPG7)3>akL~gZ2xu&AOjhMqV!qFOm{r+1L&`w=3
zEiN$tv_<xSv>%bIUdX_!{Z$F55YK9Ard^;eqn8L;ghrlbSm5D;VIi<}u=JvqZ!un1
zlxb+*0#_)<#aYkHPD~h^nKjNBYl=nQzLhr$-JqFiDZbu-A>_*Xx?aHmcW)CDh~hK}
zk!D#<Kr3_SGx&G-nnF-zT+DlCC2v#F3@bi+xvuMb$I9>b+lpX3v@xW~8#m^5IOf(Y
zc2A)e*4kQI>w`ox$L{D6hW7c+cU-ZqV{dBM(^JUJ&CHaY`;y3gZH8eZ7_-%M>S!74
zk?Q@7DfxIaUC!^6eh{L}YYN!&=MR)z(M{Lh{XP}EnwplTJpcXe#lV*JfpjrY^qM@x
zLMxhgwNv-}e0+RBa#g!?68}1)wE8|(FO1=KY`Wv5<2*%oyc%Z#r2wKgK07|kSwdD!
z?5Q9lO%a$gRF~=WD@{er?7myVQF}fcwvPpsO4-&%N4-w)M+LsVajtz`@pwy7as3s|
zjO;evEyPR-_J<c{EtMkwO1qeglP7|My{hlJV&#}m<7`+j3SsI3;Dtx<Pni<;SiYZ?
zW0#6Ct$<02NlW`f?tvL&8mue-N@;U#1eT<Y5`zadlwFie(qS$7{Fh4QAmQ)XeJFIS
zK0WydJduyn>fjF(K^_LYHso+T<Z1$N$o%$_)$`nH)}2KGgj;%JYE(<C_d&;k+y4MH
zzX&>Bf7BI)i6m_H=i%00en9wz&$_nmT_xu%dngnNDrSL!f$OwK3{_*brf>kcflQs9
zoh^mNYJ&jV_9-tpBRxGKeaVWz1XUCDdts?0(-quobr}ve&A*ARtvPOvx+&t|8^^&n
z$(D^+a(D{awGY{yZatii!<x6k4sAF{AMPxMaU9GAVo2!cO#dcWyLIzw90UT(67@>1
zXL&+WoSmJ`%SF06f7lY<*%l_Bx4u0IkpF>7%M(7im4$5Wr7^f!ST-d%)i9O)PV0@1
zNCuLnG5~`{Mn+hvmOAMWgsD92pngnso$)HU$^-BMRtl|uytFu_QTK4e%c)GgEO8kW
zW)6Cjc*8Ajgtpt+QXc&I^GD}sUgz>r<2Wv|Ct9QhD6Ds+HhDufd0RIHTB`y#;}3e`
zgMMGM`ZtI<7{u&lWA<j26eJZCjz9wrui9Nj#p9HUpoKPQ$c3uOvWUMefo{&QFpq~u
z2eL~|`DYns^E&5uKj3v<PmH7kS*~a~rx!WuWYOq@2R2d9Gsvx172T`RKv;RVMkE0_
zF3|OexCqcQcr8G!UEXI{bM^^$iAV<%n#`%&$(BwvM%L?|ah$byQ>$JG2)-75At;1!
zaBx%@mU?|XwH}&qeqAlm+09LHrRT;l1~(3DB{$?~k8HQcL%uDZhx<FgUxMbjIQF)S
z73K4A5n!`Wqm06JmKx0+4Zgg;;Rs8CCndru>Qq0d6xe>0tnS?i)f>}*BivaPe<(ar
zin${RK=_PtO!OhQFUlq2;k=|+g-bK*>2E-Q;V8`kyokJhCae?YpD*Dy_gjaO-Ido(
zP*9ARsI-aq){^Uc_WM!YbS!qlo$P=L3YPpS|6C~`Z47t2sB5D~Oa%(__<;P@#Vm3D
zEO?_m)!%zdxfmC}BZ=nq?-xay*1yZ@qbNWMXJBC9L|Fg|<>9`<o2PuMZ+TyP)tvSC
zQ&?n)Z{AdX2;D9n>0`uW(8QC-ef|##G%rNNY6M?hIHA9RWlQHkF)R%Pi<=FS&CwAC
z66M>%ZbD9n<>~3y*b72DfQNwG%VLz)8O4|x6`_Y8*(%gq{#EkS7F5o5@w@nGGc&WQ
zqpFJG`z$tvZq4v%y^3QDXs#H3%ih)u5}yqSMzl%5aEFmwpZ8AKkF@{hyaKxdh6;{Y
z^6zs{OZiJx-9TT+pbBlazXQAy$h7={_lB8djj#V$_F@-kt1}g%n}nLYGIn{20T~7F
zgR#|8K*v4k{su2K^01!y#YZP#os32{2-*(;X(H)r00gp%8X6iJ8%u562t#TX|5XYL
zQ`vU<Fpb<%G)e)ruxI>~ZNewiYj9`?P*Kz``+#Oka?4tZdZBft-}|lH1rHOK+pP>r
zom7&7-qS5rE4nCsnv8j~CAz2Eae&Q%g1)@rov_7&-A`ucPmO6QcQ9`mk9VAkxr4*u
z%*M;-hbMw<mfz63yJS=^?~d9@d%6NCG8aWtrwy7j;}AYBE?V$b51ElZX<rUrFK+p@
zx|q)@tc2CoRi9u=2<1TpNPX^4*GBGv2D{3mN72(2|4KUEI(!YwzT1cY=Zdjn4jc#K
zOpXYvc+yite0J?qx`giLZ>v&qdg_r=)zYoZx7KW|7-)b9(8Y`@T6=WN1*KEGmpNVz
zw0?3m-p{<*Qba8=k6|_wO_i+o)Uu-T$fNoRDDF&vP64dD1ra!$dWlqAT3u>cEvKQ0
zkRf9i8k8JMROJUkiW6Xei_q*(|Hya&d6vB{0Va`oRp1L@VxZk(BZWblo>j^7C|`)W
zeGqEo5s2obyH>C-N=;J>x((u9KfpG`plv*JXR%?P?4a%JTk%%{iK_Y|ecMaW={Qj}
zx%&1Z6DZTaz7dhvW6E;+L5Y4wR#s4wWl4(q0#FDFyP!M~@HDjS{I)r-$6?iRee`JQ
z=nAsyd*LoL!HwPTJsP?P&ZfpK_@Qrxs)F@$7$~U&(4JW2SUiGc7!pf27p}vM#;s^s
zPAq#F8W}atuB{~ifC8>OSz!vl%pQpenr`<Z&;eUqj5*Q>!sO=U)Q$lX$AjbpojZDW
z`Yr~~dV^Pw<4`=R=Wr|3D=`<gdcP#>CepPhx)Td(D?Tzg49JT%1Zx^3?~*@yetB;Z
zm$o}o_=E2j=gcM*<k>S&(g08i%_x_%1k{K4*jV|X&1ciI<&&g~{vzH~BiuAJqfUsF
zl&g)qi4~e?wPZaD?Do?o)8oDF!*^$&)zHqx--Ws~&X$kko-<!ofJAj#7wTObE3#@V
zB?7k|MtZKB`+vLUshuUIE67N6A4DRhyWNNSI~Tf!*S-OLuXUBf7#x$!dSGM<!-T%P
zI334r`_1ixBN$LFS;>K}Y}Co=aG{F9E?Y^-J7)SWTKyo1`5j=iG+DWWFM=@y(^i+J
z*PfVinXx|84}jNj<meK10zk#2YIpd2tA#hI5rfN!^!3CRdM7wb^vlV;)Tf(^7ql6O
zWswBJ=BZvEumvEbv`;<ta&r0tN>O;tod9{87+k|%5DcWoAAejqYQ{hdCo=~}?q{uS
z(&6ml!J{S}_YS`tBe<dRqOWCZR<%lN!f*Iv9qCBDAPorQz7hyLpvj|kBTNiw_z`V9
zwx-ryKR#wPmF&wD-5G9lacE#*CIa?%YG0!}OnWr;Z1fl>ZsxKl{#U>4T^gNPz!#?w
zX>ohmcSM40?qx<i?u}j2Cr$15vmjYH2HSL%Llra15JnZ2hu>C+PrJDnq;_H>3@WRC
z1$R2ucYWAeLIt98P)e=XAWVpU@qTdsi)!)Gz$I2im|PU6bRY~jb+y}6)tNsrqDq}j
zHe>^Az>EL|<QWvIF=mz1Ka)h}t_1Gxu-(|5G)dxx^%V76QF-?gGI1i9IPM=^1@w{7
zVptFHaHLpA@!;mP6QZW4zD|{DGLd1ApG`AqHPGjD+w)x|3N-VUZwS$s44Dqeqznqh
zfh+_lP}nC>J3VYyJP0F@TK7v^_r+H_us{V}_Gv81eV4MfmTkhq{fUDFU;VQy0HQts
z9gpC2K+_8b5=Ct6rEYg0rX5GPKuX`h0JRGx1>|vJ0fs=;H_tIetF6TE8YEB!kjw9z
zbm<uxeM?)Jg?hk4O$9hx2!Pi_Mn;A|^2;dd`fxuzd>nDfwkEPHHZKBsY3}jVu_OV2
zuy~N7$wY50fg4Gp8T<9?7n#<%xw(<~*x&f$fANaCv3@~7+(1@di6<@`W!9>f)c^3^
zcWt)BsE$a<RVV9#HUpp%K4<1p%S#S;oznnJ`d(PYw^vCD)-(J3_`>CUo-WX=LT)OS
zibIUK$@_zm=YC!8+KV|G$J5-JrmVZ|sYvt$>&U}Ooj?e{B9C4%0R5+1VfPN*UKap;
z1^51J0D~=cURkTeHaMusCl%ce^u@a0CKrl6JpuhNL1K_l-URO6v9U2=^yQY#4OLa3
zaW|<bz7NJs0VL@=%Up`Au?FfT-yGe(Z#7Bk5KN&MV!M8~PrQbSt~`#v@Gtfvs{x66
z-D-b0t%cZ30Ik(-A*AV$V`9j0iB9m!Z%>7P-)N$GLJqn^<aA&81&vLKYjI349V$#k
z^)$0&0d#)~IBj)(y&otm65wS=sFkje*?I(6Nqzl<6XKo4^<78Wrp6MRRrYHNn%O-o
zH_qks;Rzl{!4Xu&J7jqHSbkaM7k&Qbg=|U)ms9RB<|wmukA-dzm{2>Jn8wR2%@SaB
z5rV?PYXsG2m}I>;tXzN#sI@D<DeMP(-vp|&paRlAxOQs;8=3B~;wPsNeEX-y&KLqZ
zK84@?da(n>SID0db=6y7z$_3WDJtM0Fwnof1%iIbL0L)3ZPeBZPd!@X-E#Kw{=~|(
z?sKtT>2BD+--j!p6N?n{Qlxo1F(T++I|nSu6TmuUTLA7u6e)G`p74EUTiBLQisfL|
zi!`j<m5aA81&rTZEfM6~8dJDb99wtqi)x_5d=1#cM_|cJ0XeI~W3P8Slv+NvHKIA>
zW7@wX1enG1=dbM4^Bn>L8YY8uf)_|?pNpGdhTVn*nfom6wV5)Y1JA=_v*h4Lw>uDG
zf-Oo^uG|~5@=3W`89B<CsI6c$urxkCju=ClmzxWVU8P~Y1CBLpx;-r7h%fBcnC8~y
z&W?_by~R$A*zvN=BJ`~4LW(X-KCmUo-NPeM1h5jh)ECwMTZ>vY11Uak#JPhZZJ=xd
zDREj&JywNFYozAM6d=8tEuRCk`J!a9huSk^f3JI55LYLw$7@`}p93!3cxnU%=s*&$
zj>2yv5vU8`OcI&o-XN;LzwgqIK}R=Y%sWez8lgAX@0(iTs-qYJ%mz?MgVIsnJtX9E
zN^lX*3DE#r0%~h_c~F$in|%VDcje`qQN!z}H}?*H{YpmcZVp*r|L{vJPpR9KIJ>nF
z4Z4%9t*yx|6r$?jymxTpB9e`@#u86$#<n_`M+ri8D@z5!oV+?YLH*HyrwZV6()kF|
zPIr+4vG{b?G>Br}>l^hie?J7vO;*>va=Y;L4L;BYxruJwsH?ybtXg66)Q^zIWA{Hj
z`H-8dlQ`d(A}}-tHOY?Id;amMO(F8I*_3rgyo<S=NpY@c!ag(vgz2q8H`rG0(Q>Y^
zWz)aUo-GFpBGEl0G_fT(^&PL6ygc3?6j?zVSP#&k&HW$P?*Q!ygd=kQ%(IS}mf%3-
zs1`rg@sromd+b!uoxa6XNkfzx&|FuA!id?Is{#lT*gp4pN8fa<5id~}*?$V}du_jr
z@=KmWORJYSA@;p^o3T=`!=3RYv*V{fHf)R1M!TZCV(MBpTJhdXP8s}#iDt)QYrFAO
zzI7QQjXysySz3hn8<gmkbWEwuIe^zVo&e#9{2JA{hpXX=2fsnhI9%u7ic#ynQOJ%F
z=jO%M^@}?CH*(s5(t$9=d&wNaLVSG4?aH5M-~9&N6l;d)?c1QwP6#wnz*=(yzRhm8
zXvnIScof!}z(>({nK6?$2bec@uWQr$f9a<Ia0#3q7JQ>6&4*^p=_1Gvpi?i1g83>y
zzrFC|Yo6^`7?db|5XF+3_1DSR6)~-QB_&y!-HXHTxn*|}%q<vSnBCi(o}PY6gtcv?
z4y6-eb<k;b@SUk;eON;TWGVt_z+PeN6HTzg%cfb^5F${1K<L{Zt$>Z1lAbE=JZ*f$
ze4$YP(-Y>PTp&zLA)sXP;J)<q06-phRz_6{$ogVHb56vBrVr}pw~YtHTuCFoD~lH=
z`wz7bet_oZhVgU}TMSI2Ns{T^Z_psb5^Gd#B6f#vKL=s>{fA>Mqq49i;HtoFbQY+7
zv)wb^FYjc(D5Jh+rd*LCzgWjKZh3jDxX+b45U;53^WD4Gr;+AGAUQTtpuK0^g0L)P
zss;uoi;=L+q}(eBxbX@AKW06J&Fj~JB3h?YtSMK?7gcVKtg1hZ+8HijHj^|cF^#fx
z-!Dgoxa(h0e$H$P4ZCsf^|N}rQ;?U;)DmZ_;~gHpNJ*_D{tZN$Tbh|YMWpV&7Po5h
z?Qt3NVtpZCgPdU}1rpj<R-E!ToJyF})O`tp^B!tENzSe<JevUZhnTWt{>~mD5J$v?
zWFpZ5x%S?F9y^(4YWomcVL9r`Kx^}@Rfka79itqwWxQ8fk4deHhs!!43j$WlL=y3`
ze-5#~^`JkOG_&+iUrG*qc?kiQ-`nYar>2nul5T9D)sIjv)CWBQc@CgyO0-v$_VhPE
zR+4-z0mdn~#11uzfBb+yPN`#SH%RbEAr6}*<^KHxu73w!Gp<(cUy8V^;yW#KStR))
zfXF(9bKGjC@Ko%C^__rckD;I^eh^-03hyyOw7b3BdaSYknZexdmL%hJMnr)jCoUqQ
zSWnf2E)t$Pi(rAMU>Jm|K;8=3U<%m)dTH_T5#hL{rUo?eQe}&h1v^R1^UG9%QF(@?
zDKd`w)Es_I{5x8S@xtRwVbBN6@6vG5CDqdi^v_GY)a@V%jcHLpa_shkEN>SEvKg>f
z(+IKo24wF&+;#DJCy=5J#JCMZ!#utQJ<N61ED_u4luFQ8q`CMFzp!h+E^5Ies*b<o
zf+Ix+*jPZ`b()fVBvM&s<f8EC^D|L*`wov+XZ^jn?T}JOOTkcl`HIl2nr~|Q0C!Ta
zXk4gZpU+$Oy-!Tav`QPV^YYkfvIL@FbZ6u^qyBbcb=_r!(-H)zl#!w1KQEq(;`F=r
zD*apf``%Tx0ISl{hA|>h^^(?One+nQYQ@~v#Fdqmx`ygsPYEPBnwtgI8nvp>oSsk!
zgd*>ykKQj_IRp}&lJ<&LW|i@ix;i(#f43}pBhI%8+eY*Da$-R9Wk~sajb@yOU3lqv
zq`5FYb~@pmK<nM+`&zJ?s;iI#58rU-wsSY%{GfY_tv41_al!`OwCQdvN=;Z=F)%HC
zsf)<Zx5-g`YT)hXXFO6<P~KSHztxn-7tLb5hubq#Awce*qx~-D1}e;6?<Z=rQA+|T
zQ7+T425WA5HEw!Oec>yoA6!wM#j>#Tjx6Km`{R1fCD=)qQnkM@<wQW3PdA-C?{Fiz
zu>PXbnu+`|hc;M=>(9QdJg#(H!!$qF$J!&2%dDOjlJ<7l!k$jsmmxXx#tB`un-Pgm
zMMG83-Sm>fEiaqcFu!~5tU<7Q(24c?&V0vf#W?I!TjDJZMt%7lTKWrbix_E4&5xe3
z7JFy=qqt&zDhv9C$UTd3%rN9n(Hz;9)49_5gzwkSpLdR}j{sU-8p>YlxcG*a-5er%
zZIEaDN_3}Pf9jwiDU>$xF*i@yy+#j~w0?txCi?bqi|60<Ova&p-MY<A6GA=@wa<og
z<xtf?D&5n5*_0+FoZEf>=<kQ0M;xy9A=%oyji+R6rQ*!!uA!aWoc8!OB5?k1UNbl(
zOf9Kh#>!cYTa0&}=6^%`uv<udd2a5ROg2wJ+lNy*ryw^xU)@)Ab0b(A<d_M*x*v+I
zZ|IV~{CjWNcir3KS=(2Zg9BuFV<2(O6n-{+@Q9J&W2$*l|3a#;g-q@!L#o~0&%i7<
zugG^+W<xK`WsaSDQ+!2hLBVFSkB^)Fyw=E<mwz6=c$!>yps=1H@XMSc5vugy#v~J#
z!mMzvfz7-5ucF3<3u<|uvGS>-b&uUnJ^Z^46>ESUY;<F`izIi5M7QZ$xLw3r!y3rv
zzN-@(^GP~6o<q`95|6z;9+X~i+WeRy$~74!;m6drFq?XDm7)zR*Y&|=nz@bZ4XsR$
zu6kfVKw__Lvt^x2CM`YnStbE!u>0OfZMm#D-+@?y!^;_g<3E?e1dL7_u(?Wnd_V$#
zRM=(JF|z*l<de@@=f%v+pZrsur1K3x&&|!jLa6Vi$H;CxO#AUTa%WNHRlUZ%%)L*d
z8xMKtmvNc*hSvxL)Qf6qb&VXOKIeDy*CDj0Z-Vc5+`UH0eLKC0wbEre)eg0F?xq~7
zTS?cAwq4YDI!7l#`OS|6w-zX@XoJ)q4D`u#m)F_YdYX`b?U40;tD`FXw@;m%YKdRI
z{3?9Svxm^k{M^3bU73m7sW)NxeNdFYWp(o%?Zb0y?NV_U!`nCfn)36pJu&ED3k!=c
zU(`2Oyi{(da%(X--Mf=Ub0vzxz+!Y{#FLxmC_;}vMO^FR6JO<ztiLsL{H}cXF0D~$
zswX}Z$;89UyQDyAQ)UX+duH)48n${{mlpz1@|5zF{+su<cm2Pg=M^-oEnD(Fw$jl-
zwY9Z<F(~C$1L5{w8U`KVEcxB;Tr`EUfq}9vw;Jc0o{o*;=P%etwwfM(`U=ow!pW5_
z>zmrY@U}(z^CeJ{&k0;Z?oL5bGB`oSKu%`r%hc3O01cP{DV>5n$jfWH^$6Em-niCK
zJtQMQdk(zuO_Ty@6_)$&Z+?6WX_l~t$ER?YR8$bE`h`hbxyM1FVd<^Yu8py@ukEUr
z@&~W|BbV<$mug*$cU&+URN&A-TZ18c{Z><f=WFT%0s^SpnQtE@O=L0E$fHlCJxOA?
z{wHevtIPB)E*fD9*RGJuXMg?XEA+!M-UQYaMf)&S$Sk$j_T0^wN)J0FgYYvHSCm)R
z*1Fg$w?GHU&1$4sxu;m_9iB7!4jKs4LH8^qgNDVpfmB*8zd#Qi&(rajtgU&!S-Cdc
z*!Qf&x_EeaF1&qh$#E+y-Ch{tkeY!wrBM*@L2OCkcDtw#e#*{d>{mgklZO`gmTIl@
zHOn0~{nkUgo8tB-8m;Miu&ZpcJ~O_UU?xky-_1nyw56dozzIkXI~JWLAl$d^4Z2CR
zvT<-611RNvd`QH2jcC=O1E4Haa+|?xp1F<KIN5+e;O(=4_1#sXE@#)VSS&<TN=m9*
z;nAZ<gYrM0^Y(Af&D}t46*;<=#{6S3QhFDuq*s!Rm3pW>@x`U~dsj^yPZQ58s^2gD
z;<S0oaT3=rb$z&TE|HsUM(hDOB^*3aZv<CEgSb|8nd`&HH)z}9tS^o_h@T66Xr^g>
zN;IWf0}`uZ6PH0rDjKuTeMTH%Ui$DV*D)xl$yjh@-%z<^LtCcrTFm*3tK~A47MHw{
zt0h^3%p>ybkfN)V)q+q!S3sPlL$6SaQ~r7m@lHd{=Zwq4sBFM1Y&p7zPmRsa2CpHP
za@@PFH8(c{Cjo_(+~b2Kvct_b`YLY!cw}T1ydwhJh(09^yPGa|xIMzwy?00mX~krd
zH=Oj7B+Z}14Qj{#^#UwqZFP#k+&iPLa&d8yi&eS)i|Hc3uKH7jwwMg_xs);~nlP!(
zYgW!7o%e)0r9FD8<mBYc;f4&R-)mje9YvXAlsM&3jpb&-X?sx+YV*-uKPE`TqcawN
zsA2UsJI)tPHAk|tvVbHv7$Tj==i}|&X?^FQF`n%8=cVG>_jXVHZV;xBnD&lU6jJon
zQOH?3e{->{dFGq7+)dk~Ep$V9n)<EwiHy}@tr6&z?6dj&;}K`BC%Q1k{;Dr2qfU;}
zZhN7xo9xIyTK1X}DIOQVYxM9!ZVnlqN?}tmhKhr4BHG(8$x($du59*;w61(9Eplo4
zn-{IHQ=-$n19v;bSse!unu)NTQY(vE=gEihtkh>gNz5u2w!f^ADo7Cus^8tDOLNhk
ze}wA5H+qV*eWq;U<rgtH6L32V=3m!1aL!Cgw<Az!BIXdAmgW!x_b-mVfaHSY$it(e
zs=CA%a#u#?0%XEx^D)EaaC?b2fQEpg;2YZhs@kh6p_Dc;qE(!C2dMUrj*e1iRabWQ
zfk#;KyF5=uzCLyOvxZ|zb=h;R5s<wC9%}<*q<#4J2L0)8r~in4uQP?X1^mL;$8kMT
zzpDI`Sx8zhCby-&*`Z%JZ2ci+fd|sO)FrmlInL(Q{WkqShRsi?&OPDf(_ir^cplyb
zf6|+91NmY~TvP03t64_QdmTtX!M;ZN;KF^#sefViwL4#4-Jb(Z1j)Hynx416lc4m|
zy#nglz9N5bgJuGqLOqI5GHZA$^6%8EHhdlC2o$Wu()tfKL1RRZszTL|Zy&=72CHm~
za{~Aw2M0@vxi%cfKgXNbyz$MaWjbt4$X@R2OH`9DE{n+$Wwkh*`qc}%mHhnb7ffZx
zy+Kpho}Obg+&Ffqfz4$i;oamXN$VY57Y(HO(1J(!ksvvkzF|yLBpTP4{W_>-E=E#z
zyOZGOK4|i&tst;PraqPiy7dkk45<(GD)1{S8OQIb+aVA&FGwgE3PsRM%9pP`zN+fc
zCMZ2z0Dr&6kS1ty7yodGU{mq(vdbv!aZ&mG54qQ+k2hG`bAop#X@dU(e|!Y%kG!Rk
zn&mU)n0qkK%MrL*nJ(K{9*B}BntT0J4h{~k66B?iOwv)<n}Svxj^rMRqtc)})~r?6
zlW63(X(0uAC0j$XZc~rQnppl%K8W1ExiA-w<NN5Ox~2u8H}8RB7A(Y}#ZCX_J;($u
zQ@e*STOe5x&foN%ai@ZS4%ejH+6sH~j$y~3qXR`&OYv)Ksob{{9+z1(?vg3>z?b*q
zmVrVyZ3i>%LB4|OemwY}V4OO2s!C92u*~EKYM6B@>s9Oaum%SZq&N=$s=E32o0*~)
z{nx)yk*7M<2Be0ZT}w)~faGCNo$^P&99-He$H_dH*0u8HN<W`-?H;gS;KqS<WUG{!
z>cnn5TtTF7^F%h#p`Bdo<Qn>^E9b8(zW+eF5tZlV>#IY#s_jOvcB2Og`PkUh$*0x~
z%6YyIl>5!c&p_0PofC2>RnCNW+$O0D0qj3+*aUpVc?%epeUP5SsV)lT`*PeG2w#3r
z?vbfLE@qSv@9wUF$VWh5Vv#riY%kzwZ>e~#$#ZEaTDalwTP8~f*E?F(Pxt_-z34mZ
zo#ry_X~efZ8*+RIxpD6M&CJuYU!R|XWPzwB#_>mL?UI{cJIB#FRY<OcU|(R>jjg?&
zE6UecSp~0LSnx>4)|Uvd6_wvWgKD8HW^bq@OytT19l4DT2Jjzn!rQ;YIb8im@O2>6
zg2K6_1*Wd4aIy>fKvBaJx+N5N3|e5wig2ccO9R;Sil)sz8rXVRMc^#%;io5X!$7cj
zLJMgP9MqjIOVZT1rT;<-*-gHKii%4Lo#gYupok6dZT@oH7|y#aISknTr~C|VHF<e?
z21w&@=IdI9KQ5GIzc&nwwj0LYJpAOZox@9i-XwM8RcJZxXoumZ()qJbOMX49NISSn
zD%ZH}eJBKT$$uu=!z_@}aerN@m1AOHY5!(Y>t+Z~{42a}9QJF-dX9V`z%DXf6W8ps
z-1~*<vVt~y6CQJCYZK7Tq>XNlTt;^w?UIdoyxfAdJ9yQGqY+4J;qTtbp;*}1g69)d
zVY}72gNLS|`PJ5T9t^e#9k&3-0oF~mF=GjU$N|7Pqddeq9ZgOB($RFadQaIlV!@@Y
zgC5X<bYwSO>jJyFug{NgnXXL_2T%>v0YH;gbf+~r{fX4iz1HV9;Jd=^H}^^;cv&L^
z>@?6-hk0}Stfwl}gwq=TL<xZJ$tVz!sOI07+#rzFSD4qZ)ZNlS2<R%NV)uIn8ju2a
zS54}GF5r!Ou{MIi9M6T(2=BXG^?LKwh2`A9n0(F#x+VA|+{Afo_?chnJg@spt2$ju
z`!-&kJF$2E!2XMYfkmbDTQXLr2<2A8Tkw~D`SPVbqgI;H(_Zc|OA#~mcW22n2RRRT
z&UvR9N!d^3+ZpXbIIE3*fg;QP-~3d&4LJZB143>|L#R)#0dtq5NfgWnZ0(!(q_svu
zqK2@eD`90thO}DUy8c$A=HO#R%l-;E2tBP+%KwQ1do79f!*b>h2yX5*9V_2WcSb()
z4E*%O*a3n;2YTFK+)fz8cd@v!vao1y)9WZ6dTp(#2r`mZ?G*zT)9uM%7DTOifU-g+
z?b5V@4J9(!u3z7u#vC!mcOMEJWgIB8GS_5-mb<X9Fct~tdXQ6JFyd*IH$a0z&$~-3
zsUlYB-Ho4gYYWE)o`>DvQ;bf6g9I?h-@kuf6)+SusVV?o4>BNc*2{<dDNa}?Roc_a
zx-S^Rb6ex$F2`ZLEXu~MyxG?L3!c1}kMFRqlwMi!_VKAIA77PtbctYa>NE2Dn`>|8
zGtS(a=O|_ErU<=%<12=874)Wq^;3ijl-FB36-<evjwq9d$?yok@j#l%TQwLH>K8gl
zn$wg=Oc_N&e|w^Las+!06swR1{8vL>wP{JtihH_zmj=M7+_(86WDTIvbX4=<?sVo)
zQXb8K?|rC^jI3-3uxBl8?W28=`oSOAh?Zn98At#<6Eq6#frdH1#UDQ_l@ht1wN1iV
z@?J{NgnvCaOHNfkZqibpwW&0gW2brhkac{Y|1a&Fl<V?vp_4<se(K%y`-S{t;+6V|
z!^_Xw=RpElv<zhfc3$~m*89(Ax>?6}{})@|9Z%)|zkh_BBu*t{MzW&Fo=HX&*?aH3
z#X&}iGRs~OLJp4X9VMe=lk9Oq$V&F;_dMR8?|;AZ*ZWcLN9Wx4{kos8>v=t|>w57&
z;&mc!r+vi`^*+hp$=lnT-%&hc&m$i=Qhe=#a=7qg^I_nAT+?q)Ymb`R3E$;ns5rhe
zqbocu%&__nFTd10tpvbQfDqipjmZ|?Ivt(uA><og%n=nPNaGN%s_gqP^?c#A9-
zl~2$8A<)>62>eJ)P2Ui_;+H_^FNOGw+jv%WUAjHUR-i6h=rDHsq44~t!sR!v=Q4h1
zCeDqdT3!L5g3Ka3Px|ci>C<iPx$-$5X*9X6V#JExu~J2Nd3*Of_6SDx4-Zo#iOM8Q
zywaCC$F3=Yjpo(8pQy-x9p3wk`6dB-b32oMC7CxHth-X7fm)6Nzyact+r_W8fBZ=P
z*D7<pXY23Z-D-UmD8<!{D^9TItz6PE+<*@B4`4o%TKBmZ>=`w>3%Am&qdc2RK0fGL
zSvpnDH5%}c{4@U9M@2^NntaoyZ61CgZTsi?3R6Sy9`7B7O0fN2A|=+J`E1^NChf)o
zT+G$<8|$eeltx~*_AVz^$G{K$CVxugRI76ATV3w&Q&YDMBt_-aw6TVEz{1dE4C6|^
zWiFKY%iLpm^}HRo<vWqdnZU}4LYf}qG(k-)zEUxOpN@g`&k1z$oAX___xoaeGMavu
zb*?sSc58CYt!Wpp)|0pgoqbDuXZIN9R?UPIKdSJf(KV9WyB~uynvVr?+8?kDxQESe
zKf@Lq7wuSP&F{VH>bm)x1aWk9<ndc*)7vT9K0e~s`^P2X|BTM3<~22C@>$cgReeHU
zB|~0~JoPl8^dj_;RK7XnC-_o#P9)kcHIh$_Qcf+s_NkQ~c%26YqVx{(ZqNz7(<WhO
zW794%hNWpO?tTSj>(?sIOmy?deDmgE{t558KLADh0N#mxU_Oply_?d~(+{E9*!Vl}
z@b<sM%>d8QqE(PX&hNgR&w;i-<f6)t8aJFrk7PBH{rzo_c+*Bfi#;E*Cje$BlAw%?
zjAz>K4dQn!SH~0s%=ZLfZ<zmnnEM0nnfcKZ?yt?;3`^2&W@FoUvh)~wo`?AZb=Ze1
z4#Ej0%?JiRqC2{!=5nRFnv|`)WIda*YGlu3UdW!J?g73<21yWPMg!6$jhhKJSWTNq
zNdULLR{RQdrKWdgmJ!A+=QN9abFhw+zX7?HwA?%3)h{)Nw&^;4gjt96I{@el9XZ}=
zwvgcmTHJ@bG5htBaGkJINj4Av5vQat%S8bSUV`3X8}31mf5)ao;6XutMqO{qjjw*Q
zHx*p8N7KNKDagKOL)T2tG%}ugeL>jqhby#vRf5}3Z}FNO5FF;jNbTb%4EW7=;v(U$
z1r0MRV~oW|nUi-d1+0ItU)xs}OSH3ov1)dVu&1?2wPtx`J5RSdTG`1<7Cdk;I1&GQ
zxv#Llj%%=7{$ZETVs28rhKlIi`fHNWFkDTVbKN4eHS(4Euoo6KZH#;LfcLs;r5>;e
zGzFlA+dK2a!^Y%hHeT0N+Rli7vOroK!erTP=`PF*cBtbH<c6s&)h6RsSDg_*%B(uS
zg$2Mkq)P}bq1+imhB$o2ixn?Fe-)7Gccw%9q(P2idPn^Ik$pMo5v+k7AZ=S>CbhIA
z_kPCpWElC~3_jU;d;2;Cx+ML!Z7YlW-lZrFS(M5ve0#ta)g6+xYyfj{{vn~Xu3HX8
z{K-!8Ys#<PQ&p?=i}zEOHbHfPA0`5R=<Dl)O90Un`m{txHE<7!eMVB5I}0IcXMQp;
zFfi>lgUki4oI+}M`dj`3@$NN%6Nx3d1)5SIBHd*g$W1c#HEqc(fj#Dv3E7{2$5a2(
z_W8l?CiQQxhfo^2%?js*&C=eTx4FU%Gv^SzLPFcSxR{3%#vGJ~rON#OVv6>>q%wt-
zJw}f=d=5coc?ALYSaN5=+oZGfa%d@_*P{#>I>NCMA)D!@KM5ttc?BFNP;mz;1xZc}
z6MiE>$taY7y#|`Q5FRbG)^8p~=Z2hDoiUcT)CFj*A_ZyBDK#SUdnAy|8J`80qRYLO
zwWD!J<}z-DoIYCtu`w=(u_^%0MkT|7PH$^V)h|Oo1+^l1LF6Govtj)9zc-iE1TC^r
zqpz0$E!Z;fq!skQvvt@jNDYhM;;S{dR|<?Hjea|DPxfCt^q>8Dy@Z~Y);tobndG02
ztGACgVie@%Qw4hfjc4cHPx`QIv?eweuK~=<737HHHo%QqKs86%ZVMoJY^63CpL}oP
zy9k1|Ux6z&?+KeB)i3Qb4%#XBbRCI{i8(iJeaEkt9*NCwX|Rjo$qr}`@Qc{Fb}kXb
z3a6TfL7%=&+Q;)t(ryv(QY}zOp!u*$GTO%P9Z*!uoesXRXEv-<jX92KQ(BEK?Grz?
z%+CxELx@Csj5$>w9W?!`&wTd~xgjp%4;y>n><jiPr?E$HL;lTB1mY176h9tC^(@sN
z6?Oyo6@tfRdGPA2)-BI(YIEC~9>|T>Um6}7O6Z)!Q+&oAU4l*$NAKPPbq@12!e+SG
zL;MA}Qjp*uCXzuJ=md2x=cUCyPA9j<*IiuM74}0IttVFwLBYYcooF@Fmr_3x89kiz
z>-$&U!V5AIR}jtZiGcZngM(AbZ6ixzY5N}&-&y~}d_UH(t+~oh`J!@MMC*65bLYCs
z)sNg(`7`&vz4o3Q`NOP63808cW!d!uyaDhYyTZo9lW9KoXwxal3O!%sGBB59atuI5
zgodn2_&0P@@8%-C2Vm6s?4%oQTP|rj#{c|^sF0WVit*jR#mR;B{mUJQ#dEITn@<DJ
zk=W~ux}L{76FV;dwp|ADO2oy*hf7RA+PVPJdOXb}JmDGF^!N_bWsBdx%X^LiVhVXx
z$Ek=d!v4O~#K^>i-vyy&7L0VS;yWsSw<GAL8<(;5#+#|b6%r%Qj=8&vyQU_UAkNRl
zZ)|MTPwc;Uqn#H|rqfeE%ZQjpQzIP5sN`PZMA~OB<B({rH?z0&J!E^B2m9ncR@TrG
ztRo`r^=^LlG`hX`HZD&v1!8NW<nP9g%QoEU_>eR&qLUb9uEv!hWOHj~a&q#iM}K=f
zopa61pvJ=^xJA3rRznKLt)$K`WfHu+?}6}iz}8yZ+S-mDcP8Bog!&zD3<VN65r6n^
zP`nAyuB@y`E~I<hsQ+D7AgqkX+|aL6z}D~s)>;2zMV=iHkpPfwGSKrRQtJeP*1M>B
z=&`1bx2vbThK*qPgHY!l>jj(FUf(ML@dRC--VA(by$K?KY9NxM#aDfn3i2UT3pj3K
zYC~6ClyKGIW#e82d88h+7<j4%uMQG_^gCIPtE9Sm2md_oQb>9N7bXR~;fUjRxAf@f
z=!EM!ALe*m&``Y_0f3=DP@Fx|OEpO2Ux#7=oi`Yy=xAtcaf=GX>A^68f~CA-770+M
z)_AIaU?MwI2m#D}w1K36040(r10KHmqq`4OygOP84h9X?g!jU0<IzeiB3VeSj8U?8
zW`%P6GaGjs8yg3($M{O%fBZ~SePM5L@o$C#+klctgYVYT(2q5StQ^fWx!>Kl|M??)
zplhM>;yw9pB*R%Gb1W;G(QP7ec<gf-M}r}0JzyQB>q^!-6C=adyRFk#&!jTE8*RkW
zg+E{PF;$;mrms9xN?Dq$`RIvcYL_)#l>FwKNWK99baYqbBteim8!2|VE+FStNN?Y}
zF2r#toij45#bocRj{f%C-IH(qB|;q~ujM6@l+<~NGwqzE$4CD=*kR(Hr>Sf;H_kkh
z31}?>Y&blu5Rw)7!84}Hzhv^YP;9M!lJ(mndFotiUR_?v4@=?K3@~Emt>@2C5PdLD
z5eFQ+c}cRzB2rMNyGNE|(_5S<KL#a6GfFm1LPEj>y)H=7@CyFG{ejH&62yNCU!xW0
zHXv~Q5@)7xMIB_3*jM_Na;!~W<h(SeYO4jk)~bYvNR4?bDHr)r(WTJuE;_Mq`&!dJ
zUKzOiDI;`+lA)malopqcNUh8qR|0LrN}Y50PZ5Nw5@#;<K0?3br8ficn9`(KIXZCr
z591%-K|zfVO!uBd&$!mq*ZWn85tUzJl(l6W_FCSmn|h|6XeFmczVrNK`yS<!lIq@U
zVExYeg{VVg7X5%%d7?_|j$z-#1Ot*NZ*>aPZ^hbCjW<I=eD4Vn&&Sgl>!T=pm9L1M
zr~kS!{$a%H^fZB6aJ<sB0fD1=*ASGP8b&L7*^u|w1G*S1x2n4>u_0Q&VyGTUZpBY2
zKW>@?o`~sQ?QV`UZ+p2=pr48VMr*+opia;M(ctd1S3Y2igUDE+a1>Eiem?MZ^lfS<
z#h52P&u-3rq)I-C+s!deSNpTeX9i?VG@<-eqk_L|7hV)R1oIiRsigDjUqIb&{{uTX
z?RAH*U=HPaCinf#+)1m?#IMx!--B4b-tx<Ze^<buQ90^b+mL{hQ1rEWRfOv`SJNJv
z0aESmCixq}{N;VHa{6z7vo3ERGL5!@2}Zl?fwyPP@A2Al{bJ|BXpz`19}2{~RyVE5
zD&YB?4{iRVf9@4%_E)@$CXc`c;VktM^QBU|-$U9$y6BEwDoj4r78A&4)XuO;j<{MN
z^kgJWu_Pg<Jc4T?ZwWizyDrjGtX&w%*Yv&tgMnWt8f56qigG3HV-ER2B}ith76wp3
zL7|=5?_w{3Z>Pazzj5dLr!&uKzikx3i-0#a%|;V4EC9z|ssC7U%)IqnTcdxqE<yLK
zLZ<<Nv|79=ua8LB$+H)52{l6maVwj&uf|=YM$ksJ4I(B@LO6PL^1AL4+^M8LC)*x=
z5&Icg!?=Y6KAh^b0>KLp;yy2<p3OsFA4KoO1njqBU68Xzjmf4DxoW7RGh87W7}Bdo
za?!MRrkw`N1!I`2j~X_VU@nfp{tB{(NssJiAHWVq?0FXa9?SFG1eemS&YP+}&zGDk
zghT`ot(NIX=HLEldHqa`>jMg3b3&0f&HOs7SVttGia_@;7k|uDU*GwN)<eaBwq%ZQ
z45nXC-eT-grM{r@MFi0us011=*RO;`bI>&BwDgp5k5w5>Zisl#=QuZ;3Fg_2W--y=
zUrbfMLm9W|`>9q7dG3Zvi+}CcKbpReH`L&iD0DCRYe%7;f49QhNAaRhdu+C6I;tN<
zlH4KQ7s9Tj`gOBmFg?J9CFC7&NlW9n2cQNwjONR;yNY;&X^D%AE7dImGNmeriP@9J
z3=u<qyD9Ii!`9k4L=dlh3QnZ!=MDU&XI)LlU`DtHm;G5CmHj%r6kDb#6CT{Bfced$
zXWg%k^ONeLV^jBn<a`Dmi9Wq3c@0CN9*JW6`XKf)!sG_Z6yEN}JFAn8^@cZ=_wVuA
zwu>9eG?xiEcrltLSm^<&?6df+_tkvRsa>cz0A+6j{DV)x$hXA$xy?O7^d--4oBxDS
z-}i45!Q++TYz<__*G@5g;1LX+6ST*;NV!q()5auYC?nie^)AJ<=PRdeN=!{mG{P9b
zQmCDn|69tb4Q_dc7|+o<WkT6$2Ej5HqYn#zDoJ%pu#xY+Se8Yd2L*$Bt>Z6)Ix#wl
zrki1Ei40nmfA#`T6?I#euP|I@_FS)EYQDWSsF7sot|<1}_;cSITpV|2yt=(xGs2o^
zac~}ab-=#*WVJASA-eNxd3mg!nzXezwxhG`KGK68v+NH)4oRe5F!;^J%hQv$jg7O*
z&seG)J@x%(>hpzX5-v$u!D==Qi00=w#QTKvUL$2z1BtUe8d<8n6|ZE+?d8{`l=KwB
zQdC?n5fKpjghUI#+rH?z4>lR#nSoPFGI}%u^r%*`cGLb)2{gd~YNfV+SX4PtP*9k7
z4QWM)>3ce6$A`9<sk6u^m$l3nGFn_2{CVk>nIrlM{#obT=cdA;1N;r&b9Zh@56EkJ
z>8dGmQ!THqX7IE~FvbAI?p|A@kOK|DlQ$en0<>QA>?xgs)QzMvS1!EpeDtV_x{*-2
z(KtWki+jYi3W+tv3(z{1ajQ{|iA%}+GPUIo!aI{RI4DEI!ZIIk>uG5X7aKs2<<hVr
z|F3UjV*~GWgHA9rIeB-xx~b78N3OjH_**5vuJ4~B264aNEbas^IA#={8Jwe(`-ot~
zS6zkIsvH1$xr`vw(Wb}%MWm&5wExIs8XaKWB&<g1ck(eBz7|4n`b@NElg7eRo|vUA
zd1^ULodQAM4*yElRi!k7LkL?Vm<GF-i{3~X0Gq5ZM&C_<s;}4l7Y;Xjnx>zeCAW?I
zC2}Qv_Rm}=XKtdE)AcBU>XPSVVKU5)SHezipbjrhx^~H`^fzviDLilY*+a4X9?a82
z%>*3u7sc8)_Jf;HGPZ7&mz%)@LC`#6lerQ&c3A0xotZ%&-v`YzsQUufpE8*uV&<=+
zkVPPu)8u;AV%Ax9$kS)5sinnjg8wGwiswjXC<WSA^IE^e<}dpK@z!_`={jA@IQ6dm
zaz37jfd3u8iOz2LjCF3Emx;*jLVPeTA(SrP4mB|aokJULV_qsh-JKNS_~ZSIbo=vY
zy7+z&DsScg4-%2Ry7yM~SC5s6dVCp9z^5?VJ^G#zBEZ{9)T>4Mk)BtFUKz&=#LJ${
zUZCQl<SBNV&x>IzQzS0FkVU*vFW8;h*AoMdMq{TyyD&)dC;n%{i~Gs4e8f`>I%=(R
zRDbRiF1eAHKj<y`75&w|Ma_qAtT@se1A{G3ZhiGjh1wHkkm0Fc{HUfqy4S6^3lRX}
zE(i$wS`74q-s)6y3&m{-uS`6;MFds0|L+^zAE>D04cH}**Ng{na?*TWtVq{w{l!Cb
ze{;*Zhy06qsm{cCO0GNIry75uqihGm+h{9CzrT2Krs*q#%&+&bNCOAbCW#Qxwif+c
zfqsh&0Wf6&-#r2@=BC2WS^&lqAiiUb>hIl^``_I{84YjlNn}n`u&Az{ujF+(^KJe?
z!YH$S=o@BrsVPny^b!I=!icEBo<%72o+lm_=#tNIOYR}a!s)`|gTasrqUPW6!I4W3
zp6BWo?-A%KEcqaI;RO`BLTnud6iKIoZ-PfLLP!^1nSm1~fT(Zo#sY)EYfCFackK+^
zcDXvVRK98yIKKEyymaAgYWZ&sr8AvnXAz-h^r3DL>+xoV<q_Vwxz_aW*!rKMOa~!_
zgzJ!&jwDPGyB@=!cpr4NjxhI&;C=AFFFA$IfUpqIs^e)r#aONc(w>Q-C9rn=rv<q3
zE#+dO`Xkw}o<e`ojxy$Vx8%14jE50@e~}M&5eqfa!HxYj(W(e)i5~F=b}ziOCGc;b
z0wAoWe^cOqhbGcg?>ndy4qzTezv`CN0vI7f-S^A2qz4lhqU1r4`OgoO9xyTBC9{B{
z2-Bp~RjJY^cm3D<_uLMkGmDZZyp<MAz^qF0?nNWUiMC4T{k7NE*$L}0k>yU41kvo+
z2ZiKOx?~)<YxA^>6d$AKuQgg+lp!ctr-%X_v5hdWa5Id=VzU*On|rLGe}ewYWZdGU
zoWq#-^JW7?D;fA5XQ_*GF5g)~ojMmYrnw+7_Q2smoWuF7&u%Ks7GgJt#@~NhI#uju
z{LSr>d?n^Onv5eimX#oA`9jO|Q_^=B-<pT3&mrCQT+6xygvqILu!hghGTx?*!nZd-
zBLHokc?^_K;IhG#{x~itXOM+t{lC?f)p8@V#~|_2{O^DQCF5?3q=K{yTj?`Hj@=hi
znlB&A$Ml`<NWE`3x#c)3#&??a%CBtNv(JFr>$%!$e&t;eXd1gNZME|#55U~hL5~XI
z*kenmn1H%K9tPDB9nklw5bvpmCV8uA66jQO1}cV?6J;PQf?v8CTnSgoYsKH3|ASd!
z@XvYsnX9g~**3A9++FBlBUgt|ZniCr{MQP!JW=q*mY4{+AZ<f78OhU+np|ET59c}{
z$mr49q+}wNj|=UOcpKf9t<3QHtwX3889BLmIDy!^dAerdK%HursSmv-6P{v?({3kd
znmJ_j6HPhy{VN%=`PAteBKaD;q%!frMwNtS_G+K#<&|S{nxAAPV=xIA9qzU{>6=+)
z?LqD+(mo%Fj0bFj$^!yj{}Y?Y=d=%nG~h%)>ceo~0XsOeq2y7|E-O-A<Mogah5Wm-
z!_;;@+hWq6aQ6WlE^sF4wPQfU|EftpZ(GOp#%beRgQEOm(?p(vTS`WRhZ9d2Bzg)l
zN=O?68JmS^peiMx<=T*7B0J5~Nz1?hFz;5{5iUN~0f>H$0!@}zB9;qYKHzPFUCKCx
z7J{QuvtQh@(}wJa%8KNA!W7=weIPgl`GeKJvrW(CHVyvw`kjA<`s9}0^={7XG>#|c
zlm$VzhR9gV($hh8%ht_PY{G9bwC%wh;UK2D!AWV=eho&f^yI=6wlr-p<q)n_%X(y3
zMdWHI@9@kfB3fbw9a##^LyLD^SahD<7(Z=X96ysef|1%Xa%kC$Y`X6w{}kdF2&q(@
zLCAIlAB1IKhA>m1Fqm-_p?@LUQSq7k<cE1S%VhP2TyIc~xj#spLljK&;|ePA!ZOR&
zgEkl)2g#P!6zHG*8tagnv8+DulhR9sGWKA9KabJL-27A8_>XHeidmBlK4&+zAH1)!
z5z0ODLYAfd?%<LLIf8do%pu72aQi_){g`OQQ<-*ZZu2m5VqhIt$L(P9@b#VtF1!N}
z3W$xw8IQ+LczA|e84HVblP~KB`y<Ra3S@1z&P2TvM6Rq~U?eQ{^Ma!FOeW<4Xmj@!
z%Or>u=MN2c3N*N*<a3Nm4leyBFc#dp@b*!@sbznfl9ACD%Lw$M1z9d70%=h+L`J#U
z5d3y&?P>3werrSt2D5<1?>G4AX)6OtY<t(~p2;`ozeK|?^fRV!A-ZSeD+1jwLA#oj
zm4(9`p21h@XvobGjlRoi^!bsw69iKyTICioxMh7_6piK$_94|g^=8$of=bj3P?UTQ
zqIX~*PAQi*Ds;JyzMc5##}tLa;bjDBrZ}<W(#%R^qf4fR@fC<jofV?dvXN3UB$RgC
zV`Qn&9X;$cAFHy`!%K~3qfax$x!0!KrDA{mC_U|0n;d>!%sK38yj5ozn6-f2nPFf(
z*+hbS1$ffBKpD_RgFrq(MahF!jl7dvPAZc<rHk;+>w9-zFMAq+%mQ)#${pHtQI*B;
z`R)M8J<;fSG^3@E$L!xH+fo@mi1k0$>2YFWVy9#GN*_FPyOmQC{`Q?wPR6xPGrdHL
z;q~5)HvmAO)rXmMa%1FtjwV->cGc($o$MVpc1P#VC@6{q67Z8e8%ntgHMt=E0iAIL
ziNVO{^tE`Q?ZzGzYnO9JpjZ^uIVkm2r(XkbA8{<MN>FE8kK|Jye(pp82ASYsf+pl&
zW{@&3*D-ff6_98?mu11$-wer*mq%x5F9;~7{UbnUg#Dz=-wotps=Pc>-Qy;mIM>~+
z5;VT;*fw`Jk^+$xB07k@nExSLe0*#yg872jyU{~sKRg)3%Qb*}76rbK%3Jyu4J6)J
z=|x&ZI`nmfsLh|rz=>2joqgi^E9?Xgwy=ON(7o14u(8%k_1xQmMbK&8Z8(*}C&b4G
zF4fBxsY0g^7_kSO%DL(rKK@c4VOsFj@|N#o2Ze8Br*|&#dKjtSaQQA^)=qv)Lc*Wp
zsaR8Qsz@%OL_64}6?mh4j-@t#me7@mm@E0$E{s!NQaBxivzhSm_7+AUepcCVnd%%y
zL7iX7xu0}Hi_$83fyHwgcp%_l_x*sdb1*p=1qyz&udlSmLZ<yf6C3H(;<1;f5Ps;9
zOQ-Q$Pp_N#2}9{rm}bl|uXM|m-tBjvZ<M{(@Pw3z$S;M+FocC82oSe?jY?e3aj7VL
z+mx^#x%pjia#LbJ0QQz0zn7k3M#IM8>|}bWwEX4K(ekDDcsjYLB4CDLn$cdkTUs|(
z_Kg-{F-@S?yMIbA@seBtzw<cRwo=Jguaa7s?nKaIwQI>jBR>H|^^jJ-*M!OKYz`#_
z1(L*)yJ6A*o*?yf4aQ6`S(%OG@2-KdJ7_yjJ=m7!*;_7nr$A%DvnF{l>4FTeFP>?P
zz8Gq@+gCp^(iQUfwJps}ANQAq2?~YR?A9jXmA%WKY<NSbWLVkbK9`m1Xu6B5BT(_x
zr;13!TC!Aaqp!kvcC3m+R0Bjs%&hcPw?<wm$-TZBv}3TcRJSTZ-tLCMgtp8Orj$Yo
zCMvu36rqgugXCe!K8rWp>r{#m5uR*E)s`uojKa~exEaY8Vs+hE6aAG<T-G)o@vtj`
zL|N?J%~BBafb6^d-zYB`Vi(4tsrOh9dGO?+6!2zDg9LA`YQTl33OXQQ@xpxpBT@Xq
z9vmVwq8;f7Eb0+Kb`CwWtQw_yR{Axc{=cpI>0KI0r%w?S$()EN*_CqpldWrB`SAO?
zxZhR704T8)pe3<z@2GMDl8oCsW8t#JGnp)G6l)w@DgtrG)k3XYm7bH*`rI^KR47iQ
z4oeus@lAa?$~!pNsuDXzj(`vp7%#&3ws40)8pOf)E;#L=?IZn(Oglj!r6S%rOK8hD
zsIw#F5{NK#xvSn-D8&i@v8X`lWi-rx(`1YtB*Mc31LeIrS$nSZ`Klb>s#+-)``qvh
zDnRk{{bHO5r1%(y%)GHsgPB?Q{<^JK;U#{F;{?*&!7Ld)<MWrDCzWLJYnQKwLPDa}
z>#M+7qTrM|>`iBcN#PLa*_j*<DCJ(X<Eoq@vfDR#+>b0rnBU5I3-oM)>M=`oeV~J<
z6EnOVZeC^R_{(KuxxbozsQb0JLuGN<Z_m&4(H7YIo;W#WoYR=`2Y>V!pFgN68Ux$|
z4$%WSXFk4s(SjT@WOg7f!d|?arOJ9i?-$<@jq$J-PfCST8m>nA3W_|;ZDRLM8SvsG
z0q(sgq*$s0R&U(xjfJiVy$b6EL}Aq>1;f4#B5I^+L=KxUr5@z_j_y+b*QLjskiYJ_
zu*E0SZZ97*>?>0*38oaVgx$KVRKVm^hlL<K@Q>g`PEFPQyUZ+Iuu!);*fH)k0T`Ap
z^i`KNXD$H4P43R@c<?x?atQFGRyvUq>1$`%M6OKK>l8+P&ORrHwn{MP{RO;F?P339
z<EQm?SHBtXZvkT?&RMLd&BJfS=jaYHL%lLfMZf!hj}j8HIp#O_PLlZ8+1ai1qUCc$
z&cyU)^;skSfm_zwtvxu}30~r3{Yo9BjIYg{hPP7EZ6533;RFNS;l9XcFPhgMLKqRx
z7sxTea=#Vx>{6K;JIf@t-d8zMlM+Lem+7*iN*m2)N5w8078)4Vvg5hJZ*84w6R1^c
zWs?OjfJTgJ0VzgI!plOVQoqv4fLsI?Z)Ud0xq&LDdi`S9N`$&;5te$4jEpyuI*0Ck
zu5!XlvR_)&_SwSpu@<|WDJQ{b(rX^3lv@U4PNlg_@a7;0PpcN5gW(el;TYJvexk%8
z*S*OYNJC!wNH9jUdKw7>sRxH8P!bOt;*o1RotzrNJzdS)`e*Y+)4_LfZ)%=5)<F2&
zw_glE{+Z&jmePxbS9YT72-C5K_UGK4UDA!vuXA0J>8MDw%jOWGm5d54q?5n$zJwpU
z@XB4zSztGsywr-g-nS8Jca?#mc&wI~&^b#ad-+8bp%3Cp2#B5L$9;s-K-TEOKf;Lk
zg9erbwsKII`Lk()G#C^<(B{6hFT`}YF(UYsv4(s3d2S&uVaH5QzVqwNCj=vdSiHIx
zd?d#SPqgc117PNf?~KyE{vdw5AZ7g<?mqFX*o>>Wy`smkSLa-r8BJG!5mdztwe01(
zI_$;%I)_w_@F@8fuLgC+@b<0(hHlB2_|7s6`NNfH;LjmDheM@lZF=e~Z{(zsRezPN
zsI(*neVPTL^hYW*UDfo(Q}#(|Zn$QJcV}<r({YD`WnCqIdF$1^&!inf?dS{zuh%7Z
zS4X%(RbN-P?f3G_moNHG4g&qEL-UVG*c4UDI=d|AAmQXjk{get49S1H7)s`yV9zGB
zuz7Y}*;b{xzY%nyXPyAeYWcBSC6oA-;34@fnF0%qMtQ@9km!4Gl8A@R?atAMdOOvg
zUS40y8Z5uW?)?q-rVrzrXD@s>(M_{i?LptZao_9eishVY$9du;zW3Z%{Y$4lYGE)c
z=cbR$|L_b`?5j1Jd1~C?Mv@{pNSPv9K>=oCptZ`>?v^DNAQ7~n?o*rNcRw``#6nFJ
zkXCVQzH4`%Fx7Cl%kq|&)7!#M6w$vt#Eb|P=}7F)`9E;g6Km`adWqQOQ)`^z=Xh5V
zi6Z2S3<KU8k^_O;d&f(f00{L)7%4NMe}doSd=u%t&Izz62RD%7p&m-?@8MQ|l~at}
z0j>5qOfXC_9<af1mBKRD6LwP|%y(;?#w_L<0xglq8P^7HC4~(*XMm3nY6kcqlgj)u
zz*cHFT*>VK8kPg)$qa3x3_fcR?2L8sV3#o%=wvNZtxIcMoJ2R1>1pDvYD-F7=KHK$
z-00igU^e%~GFJWT=Hd9k_3&&=OXx=S1xL3tP6Bu<(&d-@ZQx^%Xl1b!B19-8pR4$+
zE4no*%km1sk3Kk8>U$aKsHG?6?C3nt&gZHM%(q@`lZLh*!TQAsZJhn<6ya@+3;!RQ
z_CGDz)nM#0h-{{`2aH62wZ=u_UMw_P(xz)$ad*+&XNx0oKZNdv^qGM2{iV7EbbwoW
z0YR;m-lC^iT9=Bl$%07q0{S1bVr*z==zPGXJ1CCafEri>!!vZDecaq@=!_{3sRSiE
zeK2eQj+Up%t$=D0841EgNP-M}Vifxpi^T%->#jawvU;P_y)$)_XNuqsN+7Cam{_hf
zU+V3$Ov`i*UzXKYJ)k9Ss%O9Rob@O?*ofx|IK}%deJ!FJ6LB>u5i_v!=0$zB`BI(4
z%5Fl#7pc1`3v=OOZHL4U5%M`0%m@Eri>fy3$d`}N1jwwX`CSO9*D84DCunG0UDv@U
zR1Z^d%n;r$J>*{7;D&2!XY~74wE_xDAerpd6#i>_$;ASry$zJTSs1W&C1ckK*I7r-
zag4dgz5D{Y0kk}(oH+!pZbbhzoRQ=y#)JG+VVeTTJQgPc*s64A{N{P`uz|%2D?RM8
ziqjI@D}&FML)8j2W!3)L%sW)l_G}(MC~Nv-I8Xs^{q=C*AwU@BIJUiZ_Q7N3K<B2y
zLWkonw=>M(q;R9p*PI-+U3YJu7j>01|JBep4T4ZWIw_D+(D`-F-SE+X=^K{V#{-L$
zx+GIbbsK?l&ie&T&1OsGhiPZad64VX2ODU}%BXZm!ilWAZ`Pic=B#C-CqKyDHLTvk
z1Pssp=qw=m?{*#Ii8ydtGcpEjkJx}Px7r!9MH@HT=#CWH+uQLXJ1m&*&CO>)b+A1f
zg*QgQ{^bdpz0jF6u{k063u0%p>B1wm?i=L-mK$Bm@-%|Pu7K?t?#@^DEHliSu*(Qu
z1MRA&M&pt-?@N!l5->ydpdkZA@x`@(Qw>awB&UK+d6QN0p}=x?rshEhSdg-C?07rZ
z6YQg?5LuRw_@Px9_dz{h+o9bd^z%LvAKs+VVlX#MKKS=A!lX~#?&n-oOKI|Zs9cF&
zfdB^<&@5)+bj%TM&C;wYn(uK9%o_Pmh0o%1W%Bb@g{N)|J53z5yCD(l5>vJU5S2co
z>>RmaZRp%FxD{lJefh<y=+g`AvOB%but<BB#O=p<jmFf6{HgyIuZE2FS|jlKV?+%|
zW(<xKAq-UtOhw?*PixwIy_OF27Dx#`5=5Q<?{3KiRF$)n7$iMRdaBB^N3cy#-wuId
zF($PWQ~jWPQOO6v4u}f3$CSRCL`oXaiZZjNb#*V0Kj8=m^+15IPtRtmLjz%Okjd-G
zGHxX{o{Iv-8YrTsJHDG<a%z^5qS2692Zc?eApUmR>n`iG1Kzg7+MR;Aoq0vAA+17f
zz&*Z_GYTEYn*SWxjbSDmXK|xFt>UX%65l$_@cY3hJUnrQq&C#I;A^|>dVo9t@u{5w
zWot(5Y2#rzEe7&uGVsVIf40TH^FDKcVN^9$n<U%(UNwH!ON5h>w070?M$@(PF33;U
z`TUF7Y*T5-OH#!n7@1GnFNnHDOoMP`yJ_p+=iRg6+YCtyO@DK57K8r+l$iu4ofphC
z&JTOF3p|z6PZA)BCj9ZRsvOL`P{bPjgmb|zA6Qmrcw?;U93mPA{MA}D8$CiGZYY1l
zVt$0Q;b9KO-p0nJK=aSS<k8auZ<L4_Gx9WZ9!`Y51f5~8*N9hWrj>MV`a@<tg$#0W
zd3p2VE==AR(DD7IyfiWG3r#)&v@)O+N$D9l+S+8)VN>V3cFD({FlZ%Q@VZ*r-J<iW
zRGzk5eY<DR2}Dsvm@9-0Mb2Elnh<WOFF=`iO%V_@%Z3=*VswD>y>sb@tK}&nJ>jw}
z2zJZztJyzE8`^1-+16@UDQUq&nz_LK1Z8iK)?^WIT5S`X-{eyO`ny`b51=n3MhJnJ
z@r?x@(xYU;Q0;C{?WeExI9<-UIQ&dhJe>fJ5OWfs4Oplx2%AGst~~@Zes<q4dWH3~
z@5ibnJ=E%MUn56sF0w8#y{)~Hxqw!qJd#_ZpD5;#Q!;`D?{=mS{XuOw#c5~nt`j+(
z@hbBI0LcKf=<T4)9vUh+wz$%j*RiVPilP~-_k*ZK3a|3sx#vA{s{4#gVFRH|2gHjy
zjonBP5@y>A`n@jULEq1d9=_K1%VGcEKzYD2l5@}=Z6Y^EkKiT4t5qQ+XM}q#kSHXG
z9wDcOcORy82T@sq+Y?`sL8e(}H<0IEOHUs5P;Bw-b#Qy&0~NCl3+^hU3K8z!V^!y-
zg4a3IH0~ZNY`j9ixCjP8f%(4yOSDixH0zKcQqCq(Dral-4Q;acSgj_PRk@y=THfs>
zb;a1juzB)nkdkvHDCG}mSlA&<Bf&O<Hs+-ncR@f1yx40vp(8afC9hz)j=QrC3rNS~
zvRpxLQj2Lcj>aNhjG$I?xWH<wi#tPjb2sc(w0R_`;4^YQqU>nWWg813X0EDZox|L#
z=vQHqcH<34IQX6}UR0_zJdGG8lwn2%xr+R*UftYetI<<=j>u^~tUZE#{vNBRkxODh
zW__@PeGAwDRK!;V{yE4z&*lKTBKSoD!6XgS!kzUN3X9rcoOW8EC#a>*AYhbzTn&~D
z7KFs%dW*)+9;9`iMGPp}{%`9~=LpYIeGVfCPK2M<R{@*B0_{1G8&nZp+nxgg4DB-_
z&e3m%dGksJGUQPqAQy(MT0Uonsn^S>X}7^?3_6y9)QX<ZG-H(xI#QW%_6sD>ppd(B
zb4OPZy7BtQ&c}7WffW)iYO{OSRu6Fk2Q6Jk?j&hWV;KuyZmml!+``m;8hjXvN;==O
z@h+PqmK9n#m~;Y8$GcXzF8wp~$uOz&Tm%y106zQsux=iT%!EL%u{Tp4*z)O*z5+>=
zg2WXK!Yz0+U&tO>`;csXj?u+4o~u)I`hTB}RWXpAzP()<a|D{2L9a&bLU7g?xHKl<
zYT(Aq;^lkUO)O&i6{3Xy@`M`~Va|Zx-SEa^M9uDOMBv{XrU~@IYiRE9@u&3d=-rtx
zmztT=2wiBh%%iFQE8G46;lQctP{5UX?&iB&#-`X#K~H<3(|3bG-6mT0`slg0PzXw?
zz~rIx>gC^H$Y|<LU#`=*J_88abFu$OelUQ4)9^+<M>tb@THc~fQ$6;qX+8En(#=RG
z(W))kF7@~&((A>}*J6?Z0qQ}f)hl*YW;$AxOX$SJ>J)BN&l;f%dT_=P!=|Y<QDzmf
zT-PP#y7!Y-jWX$m(UQ$I*tz}~9{xE<W!GoCwD|Yui|ng}R4IWekfgBiWZsCe>Fynt
zSIPBdEr;jMom=@)ngj8_wYeZ7pHFkC;$8*;BAjP1QT<`7xFta23<Fh2>Ebhv1svQh
zsm*Wv|G-f+2boy>2;R0yFzZW#fotH=S)x;cU>h1P(({-ml>7@?%rf6C`~U7L5Qg-t
zGym!RLC=Kmtp@}UGy`M^8co6{SN=j|_~mI22{(}Q1Jg2h!MiOPy9_4AjHKro3tEL*
zM#GXlkY%nlWGyXK4IB^XkBLtOTT4o`@JjUXlRf2Q>%90;x~-?5S`Os)$^&FAZ{m+3
zRKw24PzNot?$JGAGi6huU&h+$Ms=ZCQ3+|+87m@v>fAN27jg0Iy=<yVnW1G;A^myW
z&jQ}O3_FEJibw|wuu3Z-QTOP|4$EJDegv1}=#ZvWJ}K^fd*R>AsD)gtl^!j6;NZY=
z_1m}ymOcXAgYG#H+KOD>-aiUZDxe<P+1a5WBjdKJDs1<ffS<hBHIWiIe?(@()Tw|h
zv=1vHdy)Nov!12l{Jax+tq_hYdeBuaRl)|e)1X~^B^L)RU(dqar?W>&cbgR~b}?6#
zlL_KQ1ATmG#2P_RH{DENvqVhJf4da@?ZH>Oc!kByCm&5sOib#{cZtEhb-%=Ss1PLs
zq$C|Zy<uZ;vz<eV_&POcxIj`myuTB}cMKUd?wei0w_)g6yaSIR;9zV@>Mow;g77dw
z70Omf{8_HUV(k0f8r+w`$y&4V;$*~vt)FJBAC8$AJ7-La-y8J~n-Bes->4w%E{(O&
z9QaFhmhrYFTA6Wsq|+ns86#q%<GTg~#=M}pYe?+^a(7{~*r0kfMBd~aykrSK&)rp}
zWJe)=S`TR~LQqCYd^7azuekgUe#*ZTryrw>KhI4YFOc89wB;*63voq@p1uL-Qz5Ec
z3H<`fa@5g3y+hIWS;(z)y`Hhnxy>JfzU%oUXKoldgL|Iw^9}j@K~{yYD4KY>n;(8i
zmjF}-p?aZk@b{(<#Mc>uDos-eB$$8JEo0LjU%T)^V!fG=gq+?7q^6!mYs<^^a4Uy@
zzdAXlBdGjoHphMLZ7Bl@MsL95T<DeW2E&bi)(SN3E9pWZ#B^a(Xbhd<A~X=aeEMnf
z%a(ySD?OB~5w&dTP0HBE_$L}6%aZ?4F5gpZ!jU}bx}SM6XITUv6;UwX_rYhrcd1$-
z8pph$FMM(t>(hZ0crWi`gmMhMZr?Ix>zY~x=LdT{+OVT&t7&S2LvfNih!gZ0f3Ye;
zu*;J}bO^X0%ek+A9x=)e@9X>b-fDKcbF1;$>udf2TnYLO3N1>9>tVNLkxru(oUc_%
z`ccyY!}HovfF<Fx(#Vc~?g)``2%hn6T-DkGi}YC74yN~7+!ydD`CK^uTG>BO?XMNf
z+QLh3z(u*I+Dj!Djw<8EPNHa7;GRO=%s0!&o`CjEv;aRp%ep2d=cf+d=gYCurpXIv
zo26&Z-9>z>X@s3m)76}hRk~APUS}Bh=Yx-M?nfoBp1%UIR_J3Xi8hhAFK^X3wX~eZ
zw(CxFOB&4<0TrzlU?cN=VId2d9Qs_%>;WKHO!9j$h~TBS$Sjc4TL`XFbR(U}A?g(W
zxe`)j(qtUVT0&H(^90g;%_2cm%@(J(a>kV&jxVtIt!sA}f@&4!==|Vr_0~%gMMHl2
zDVQn?X&e1U2qH8I3}wY$Yg1lJifhEWAerUvNM)9QjsuuN)a=HLU_=Aw@GIKbugnFJ
zD3)a0qoKC{(*iJuaO6s5cA*M2w|}~SuweMj9#XVT+IjhFl~c&e5bEwVRT2F!YZcn;
z&pzmK<CX1@H#1SU1?=FCJsCkavXgAu1O(dSKDa2T#IKEL&!1cm0^&(w>j4c7ZIq8h
zG+!d?qU9roh<03}Ro6qDP2}a!S1S2nrpo4slK*rz)JhM~d0`TVvz~UADx6$roDdL=
z1E(xkLM-cI$m&Hv^I0#g^z!U{Z)>e7EL~&xL3y8E1}XS1r1Vn!*U5a2PrvR_+|D!~
zcF4}N!!Bcu%Xai4nIn5oePJMDj+b%~4F3T_P#%LSAPn)g&>A3I#sUIePwN5G2}&Wn
ze4~0Q;2=TAxE5qCcun`^u$+@CX&zBdoYNTk&GqWupnat_ZBsRF1wTPDzSL-W>jj_j
zTN>TMA8<M`W$QKVCKJ`1K2S?QzRItAl**iN$Wx_$F-Z0<k4;RP9gpaMi$n0SvDf?v
z!bT&MAyl;c<8u%!+@-qKLA@D(q_I$goQ}@2Y4O7|udHfcsK$}9=)KvgpC_I48x^<B
z>BHM=z&_#)LJPdXKCG!s&^d+R#9M%O`9Y!~v~b`#SLLAG-vrG!Tnhebb%)x{{P$G2
zpXtOZqe6i3g?XIva6{fIV5NvahvFgo5ywZ53WcI^F!_f#iM|xwM6dPfkN#3OkunZV
zukn--bw9<qbFY6%9r^?CgBRLKv}2@L>=7uYUaFwO&PU_)(FdK&tmi(>xQaeD{;+QT
zyt?DM@QfhWpi%I`9`W_Vn`syfKD7d@^5{M}YDvI;s{V}JAl?DvFofAQfe{@91xGO7
zf=&cNLO@(N)d)UaknX?$$El^IW##qBfxrj^dkC%u1}=+r8A`ciEw;HEOx0WlkY_pP
z{!AtqSMxoz7IuSWun1jT;lhXT?H#5|dPJ7)-1ew7<fSo0=Zj@503FH3!O*itc0TTw
zW3BnXC5BLX`S-UcNx3iIP3$_u5?bZT&P79Z`sqjcjIok1@oQZV9YKg(<9HuE7Sq1~
zlE4Z#agBirJp72ceY^{BY^TuVXh}AW^GW#y<Gnv)knK?AGKIIO1wwkPmm63w@Qz)4
zm|W4Ln3qH4pl(o36JidT-0Sw94E%SL?<;olq^2!<y&ijd3S{;Gn_fQ%m@L!`Y8?RG
zJ;@)@&-kjKmOx0b>FEzixxlu9rD(j0C;+B8_V#cnoAo2vb}zl6>t;&GGeoC~ZPc`~
z^y9?DjL%NwB!2XocuGQHpBnl{Tr?7yO@5V(Ib9SEzv8}n2dC?4)U>};h>x>#8n4*^
z!`IV(i{^n)#N=Jh$Dja$`QzllT2oV>tq(Qv9lSRt00ik(R?p+e;2;3_1PR*0nKVH3
zdt`gZcxU5B$GEnr`weM0k(*72e;{P7H2TJJ9b-&;4;XJBCG1#4!h0#7!zU@}lxp$u
z4PBH-h>zB<SD5gvIuzM!egOf2g^DUOn$$csrA7(YADOqQ+8`p3Ckc8S4JGiu92|k#
zAu50BT#F9?f@6Hbhpp`|_~FaCufJ|jKNzeMau0b4_*vP-cOVTMJ6OC09DoL1Z|OLO
zH(Y<mGXM8-h};<V0<zAGCX(+C3ZxQeTC*pO2cOK1oMDD@=Mo{==EB<IN+N@IPf=7@
zKVKWX1t&_crzB5@mTufl^2sodbfV)Ad6E?crLR0kxrG-(K|GBVkXeT+CGozzG{3>j
zZD&N-eT4=Gle;K+9hc{zSo{UnVnG?m?A(V+l=&}|gvlSz`WZBy2^!EoIA}ib{{W*x
zPxydr3R)+prrZDh;IrnDUEjXJ0e-_?23-pf1q~W*n6Ihp=kc`}4!6?W%;;Se>Apbd
za|eZFj_<c<{ODyQbI)Mb5>ECzXSU`nmFZ$@`%X7<&|a`4xONr?FD}e?jQAf8RFszT
zC5|y)6#lH&aIZMU#vZHLbKa=Q*3=YHHT&?x_a~r4NzLmDe7ZwT`u)wL(+~hWrvOA7
zWUk|(b@dH6?pBEWzpbsg^rw5Rd8sZ31fs1!N-iA2P%qJh^6~OcYrQoXSMScgIVZ*Q
z(Udo-lc&aRt&0Z~ls^$5{DBD4Au~p1Rz-D~|H<b(xdLKU_^2ygw%APKrLlnAAMWa_
zSC<rx9h9%Oq-totxwRLjsHhLDR@uVo#08@@UusWM#98~h2p7HYP!=m5A8f<zem7*-
zvao67w^E6J74gQV1d9KDX}2sK-d#8Z!Tn--3@>E03zpwwFkr~m<%W@!xcVicEKM#z
zT{2m&<BiuMOSwBIrC_Wd$>*|}j+#{-8_T?%r3?f#`0PAt>1AxUNubwP<_Gj*+1|+;
z2}tcnT;LTXu}Iq8Z<gtIY85vnw6q}mtHF-Rq4lG|G;&j0$(F_Q@7god!K-#+mo&8m
z$#Pa2y9f}S<=F_l`0faQf1&Y%-hGXf`DZvx&w=GEfyjnm>L;h_zE6Y&VOg%HRDg;0
z(K!`7V|Zg24l|iF9x0xI*d|s*kL?t`w(x8?=`I@AzxdZJi2}UJ*yUF9SE&Bc0eR$x
z#F|sMJj<(#qrpj5wbj+s%y338Pv@V!g$dEuDm#Dwa*In?M>2?cc4QphjTaV|i)snm
zaZJ;sx!Is8M}03gUL~Kp_Nk7tBv;DWNvThCwTIpE3M549h;+8Z%guQE$}!lMgoT8@
z*OdWjg5RJPB-a+<B$<KnlSSQ}0+|mGH}0_XyvOC*#T#vr>e=@7nhD-U-f%cVyHi_$
zOhf;2WGV4ohsaXuD7sL$BKvio7qSrD`l(Pe%-U*@zl~K96d9dAcqzhKKw}Mn0_v5)
zzHvg$1Ge(mA2s^Lsd<-w{&p_q^E3OT@Ow+?v5T3_E65A0?QnmZ)N=EJ_eUMM2j^v?
zaom2Ph@fqKzzF!<l}RR;2f$$$)qwO;VefogesZKE!iIOOs(hpfv#Q8Orf5$brU^>)
zOPI=uxVYKgUR4A4#m0-%U_v##As(HxT$eN}mCv0n{9WC=PrrCxuHnfQ`WxS(QEj@h
zZ*vE$#i``f;49ieL)U3=R(B6KY%dr;l@h<TSAC(BZnlUk7o-X@Sr!u??~}ZFex*X1
zY^|)de~kdaK6Q)GM@|h3Q7Ld!jUY~BQ{3|8_XSlJsTc6JJt6SZ{u`is#dNvOlt#XM
z#1PHWXhs7^j9eW$&6580dfw*<qBDcaslYdu3y(Ga-pTcMg9sQni<^c_T?w+L%>j}T
z-D#$Qh)_5r^S8$Gq)hW4De=tez#DPTbgog(YM!?rdZ+)g`rni*F_WnN(6}3YXBkJX
zoPurJcm6gSi$cv>H~~v0@v<KXY~-~6{P(=|^Oox{(QjkVvRikS85PC|q%mA4o4#y8
zLcvI1AVhynI_Jz?t>rDTcDD=WD&><isQ?1|%5);4QSRf@BLbipJi~1K?smQ|g9Xe)
zd>f^12kmh6Gl#G$iY+z{@X4Ij<hJ>>d$54VETT=xew?xoo_T<bCr>Z&S*leOk(QLb
zR^FfRY&(4ymz#e>NT%ZrtPvD_{~envLRBI|*UmFe(pfK6FE##0vrwzE?A>pV>@zMl
z25OWoyxh@+dor>RG-W_37g-8&+fr8%|8YlGm!^GPm(5363%~7zX`|pRRH{-ya)$SV
z!30U9y&KeiO))lFbztu9;i<9T%HF|(&qZa`;NVvDqhnn&8+BWE`IM399ARZ<HD<MJ
z+5O!*JzvG^t`^b!5Omgbo&hm!`Q-OW?~CZQHcqw?xBcka<E40ox8aXPGUPZmVd`H*
zQtL!y{~|7|!}3S-qhF;YQrFdE@!VKnpWC?KXw`~UjGy@S<`nM&nSZJ7w>kHmD7K5T
zTp&_6PtoOBuA3Yh0%wNKZe#>-t3!X$d$VT=x>;zLLtvWdl*VU$rC`aGrH4tl3(^Cb
zLr7^JDmVTTQT(0!gr?;KM~rUu_;c6OcYVgm1|L956y&THFI^-+P>~QwoIH11{-!A=
zBpKcQ4ZU0QO_=2;99aoESvx90er6sHhBxcJdrg>kxY4)ivc+xe;aRMRo0kWdw;Y8E
zVYy)P?9`POs9SR4Z?)<Bji%<od0~$+GoRHpMd{i3+e8{g^*OT(IQ0^Ba?FhHi_mZH
z`73{A5@@l*t}Y3-yV1yCW)gq;T<vA>NXJo4w$s3wiuYK{#=N?IgZ`e<k;F%`jZPvD
zBJ*^s-wOT_zy9+HXw5{(D4IEm{_p3P-(!vKSy&b{rbK71UAp$&Uhqqq8|#v|vv~Ej
zPsV7mwH_MCD#oLR`62!1`4D(mSO|fD+>DQ^g!&7v*s1qQXWuh=Rm(Z>Hol6yKP@js
zDHlrdP614BM{ULWa{B6pNtQP2pRbfq-ff-5z<?nO255wlT69q<i%C9o8$Z0xw-e2V
zXT49jySI20!kufE$*KsMO2o^CQ{N7CL}icCC*F8+KHfzj3Q7KhXRuf#dO-QY<URpe
zfWt<5kC0~Ah&1JoWr`vV1pwCO=xU7(qj=&tOLkQ{-O_s&F8-AV*s{7RwW{|whi-90
zAmK5DoyzBAEnmnP9K2Q4iXRi_+0|iTJe)-H5Zd5`^U?cM$i9M`%@}@Q9-sC27)ta2
zyVL-rB^%S*Cz)4;VswMb<7B=l{C<M#u`!`t*n>%CYv8o;>)Yr1EXYH~G@wqrzkoV9
z9S-U*EI;V^<Kmt;jU_BS_vS;<M9V&g-q*=4mx?@$ge##>zAN_euY^8MzH>#wd$z8e
zbknWoZWVo=If`5dD48c$d@}pJ8d*9zTrXh0Zu)a2T#zemYMK(K3#`d)c<=f`BouX#
zsKoxrp4tV1#_8L=o{#$0s$8C3?~4qn=yj~~Zz%&4+pN|*zBc-HQ8NAzDzd*$@+cYA
z=ZrxbXa9F=-*Y|rINcUS2cFXM6n7&XR0!nM{K;7>Ut8NbDAm7kUsRmlA{)jbk?zV-
zB}pVtl-S}#SEX)SJkZh#eIb7R++-&^wOn77)9=wTX^?vg&?>XV6@Pt1W6@dmAWmor
zw4Uv5#azB&YN64TSQ8K}WFL0Fvo!x)gU*rjDStIpz;>bC>FV6h!7_4~fls0&uTk#B
z{GZ95w^95g5xWqlxCMvS%>pwDX6u_&5fVKmCQZkfLhL^9EaM|1Xp9Ys%4Ot#d_=ST
zN18C1EUhK!NWRtOWiY0ubse?Z$&1J$-RUELNJ}f`4}d14MtFm?`>Jtrd03BIdXisH
zz4ZfWU`Ep(Z;!d9Z)~_J570+ol6S;lb<92nb(1XTBgc#+6`3i)o7B?HXW6Uohg40L
z*Z4>nmt+cS`6$l63yJwKC1*KKR`wUY;X}{$qid#amFwuz6tq_0m`>hVkiPN;vxE<k
zgrHTt#UCs`b>JM=worB5e~LIcWE7G9A-W>oL_~g8#M#soTrC{@{Gn#NZ6Ye9M5h2L
zycohYFnGzwpeyM3Ls1!$1WJqG$lTo($&E+x{nSnUZ4-&UXd3xUhB-^S?YSJwt2oq#
zZ_ISrGrwVR${dS-2%EE~pMn)H^2U#}sq+`PnM(Q0Pha{P{qt=%oaAiWBHB!I9a>KJ
zy^cWl^r^LnY;h|*x<268a0224FdInh;;cq^Bk_`C{NWdP5k1~x-yBTnnr`M~Z-8im
zKfzl*@bNq_58U&IRG)o(rZqnEW~J^w_^&I@-N{8s3Ync}r_mXJb%59l=zYQ$-D*B*
zeNdWOee=`ur7$|NM+|LU2hQJUs(4g3x){B!t=o9XWS&p0v8QUkKldd0#-3q@H+{S9
z;N8%+`tPo+KJF~Wa%!sk4Ze%DNSE%w$~$sEpuEV%K_aG{8aL|J-Ngq1>@vvQo)((+
z>^>M7{0LA$)?)ppn}Z=%R-eu+<W?kaYfWSrE!_!+Wj8F%bnv6y`rkvn#A?S8m=<qg
zbQ<mL?ZLF3QFr*Kb4-v*<Y@(a(A0;=2M3coQUenE*KzpF1URtI6@urdK=&F^J$`cb
zC&CmCLIWx8tIj!92fq<7XnMfn3kpq^gLHP_!dPB)ys=s-Oj!9b?vqxSz?W0Ty|9UP
zsn?=x1!Z;5LSx2ec=p?KPxbUa3URU_nSY8I-2goVOmI}Xho@ad(z~o3u;Z@9S9Zd2
z%b4r&PA_mZxtZqo@M7Nv;}W_rZ+9B9RFTmi{AetIv-RaXAklGMN&ZMwVtaeuGr+}3
z*a8miEm8c)RSV`bR>fP&a4<V|l4IKQd*~D=xFqrERF^G)Dr=lib$~%298Jg%4uAYo
z#^?AI8gF6n(S6sMPLA_N6cN{9V`5_98q_GE-F@`<vPGg53<leN;MIL`VQ_~l^{>sP
zs(uyyh>WugL6!2Tm$-+1zoVPe*Rhc4(l}KXTkLFa+$jbca_s$rrzrP=>z&82lL&3!
zhdE83t!|<mKA4)GyeInI8D_8sU&Q)dslUohYt~K4>vdko>vJqm`Cl~r1$#w&vzws+
zt<&(&9ySO~(9&X4y*`?*Rg_s9t}N<ZA@<45kekY&Q4_-Wd_D>&-$C7gxHc`?Q|a@g
zsOG>mzbOy;1$;K{)^`H~YJ8|4KIDYj$g>Y(^ql^$@?4nPMBntyWXLg(Z0rWI<_5SF
zy}hg5pf`gl8=sVI>in@f6>~`fEgh0W`ID@gKv(0;%WIvK%+`8uRVA7|WQU0}d&2mf
zySe~vXLCfB%E=o-3TJ|n+<*XZ`j|D)x(O(2NsflYVccwSUm*G5dp^r6q=h3X?n3Uh
zn_CPF-2rP$ze8*rjNs|mI(?4T-85L?dsUYW(s2w1EPRc)TWxTfG(LU^%#TcR$j3_>
znW;zB6yM`>Pp{+MNqEu8jUT0(y;*mWS<o_c*G^7N1wwKOyz@;)Gn6L{XEW_b8V3Pd
zWEQbU)&HaEyyL0<`!{|{qU@1unaL(`NR+R=vRC#B*)o%r$cXIh5JJe#CLv@cPWFx*
zBS}{Hy*~Qg{d3=s`|<tW9nR<T9@p!-o>x<|6EvW%FDS)T0esV~ZmmqW$uc{RjZB)_
zGO6xr#+M6X^e+g`5~VFEb;yq;SeK-o?0h4bN={}~FVxP@&*#j0D&5w=5|M+A>b)2(
zM?KJhPu4z}ZD&#bjJ^xGUp<C0b5OFB@^YR^o7g?f8h~^BtndRmI0lpEeE7gl(uB>o
zs}T%Ds7A-DWyeK3Qiv>yz)nCld4M@;qq$#rlDYYQAsX?aBRbc;>0e1={61Y02-E_>
z6I7OA>zhHD(z$i+^y=Y4HR#b~#3!1jsstV2{w-2ektKcP;Ol&3-E`USlBEhhG?Cu$
z^)ioI*xFm$EQQ-hYK>^DfZ<RBP~sFzS5!M()5Xp-V(Sw$4U&?#FnWdBkj-(gg8^|w
zj#(5@`@6R|^cd|$j)6mVMd@cs<i8HnE$m37>2imlsJFj;+Yfe9j`*v`zs(dm^Hx65
z_W2R=USGE$3%YFv!>dvNxcHp1ahgCIK;W(rkY2Y8y8b~E>o*BBwZq-b762R~7*r^?
z?eqTuaVuGTWF3cJOaC%3Yk$D_-*+idPfbnDx9s12YoFQ@x_v->KiM2y?6=roN?DDp
zvw$8z8X8Dd7WjG=w7Om&xXXDX1Ig-ugKl?oMoL6P<kqdn(s?bZeH?8n<jYRAJr!$O
zY|@1MM$X0s3ACYLsspv@i~N?i&H>Q=kg2pQm>csG$b<cqR52c^!-fO>+rs2E+8$Om
zHs59N&T`MOhmzi(qmFR*shV7jwDiF=Oe2~u#3qd~$ZQ^XIg4$eHceqo@MPCU-@>zt
z@PL5Ybu<oOoi1Sdz<~w=e<xF}^qYBzS09II?{>L<<5JQ+p%g%CWvj0sD;M&Qz<l;G
zu=0$nyOEZ5RQebsJ)q@$MCEGSJE11s`&o&rwB{eCQ$-{tn`!Ij3&hIor`Fzh6FUd^
zUmN*O)cy?!BTy|f-Smir9*uyMfaewy9j&IK!s8YYV{HI(kZ$o<O`+ZRnu+o>o3#NI
z`?M>)F$QkCjuQe=HkI&2v&KHd3~z)8(-L7kV6tW1_$Yo+EPmmg9;M?SVXLuD{5zCh
zaWG0~`zbJEH0y`wc|i~@tuR5-`Uo8jc$Qv&006-(6k@&z<InWDM(dBwbK;JT(1H6H
zl721lpIZ_qBqu*f;51bXze3l|JmkLtwQdveMPkw0{uo%SV34p5YdYcL&(o_8&nJN>
zxG}fb85F8vn5^i#1Z;v=<mS~Rs!c}<^7E673DyZ^5up}}XKR*QRx@tHFr=&Gm!rYx
z@zEie?4YLG$^h;#l39T32RRB}0uBzUeFwf|IvN@uw>5P|(Nqy$J5^xWkJvvr1Z8M@
z-`nI5@y(ES^I>7Ijle2rB~&?($DdJ(1y|u8ACJv4M#~6NmXMYDX|BgHq#vlwKiilZ
zoS&$Ha|?*(OKw1f|AP~ZE6YNr7>AC${6HvQ{)F|T2pM;ex~(NktiB0<JA0h<{%UcV
z9R4i;R2GX~L}z5^s}e|ma;%;D14u<I!ie;0Ih;b!Sb+Z-zTC3cVI{PWaFcIs`o!3!
zj@avHB;?hmp6=}WX<%{m*YWxw*x7faBzH+Fk#eF&FE?k$4t(;(MX3YJL)?|I@NM&O
zBLg@0hUx*)TerX|hI{AbW4S4;vK|i=nKaye+ct~g^)pdBM<jQR|D8=+TP&>(OjDft
zHg^evTV2x^NLQ8M6bP?>s5wZA5jiWnhslqH0{nljbp#PIG|jDz(02;td5__)Qd`1Q
z#KtC6@cT$D$+^%A%-vSx#CrT^Ehho+a&5|ZTu~+SB40b<&5+zlGg~x0@qM9`k<2Hx
zQPm%+>0G`W_P6Y7bL}8$^rU-Eb+GMiLTDC|cio|!1Uc$RKVwt;>3n)>HM>UGej8uI
zZq8{=`_Fn=-$Uw7LxS1IlBW0X7hpttv3}9fA>7l)e}W&!+PKpf4B3AEvGE;Tg%w7e
zlpp4P{zWy9IY4dPnzNy2QT*1~SgWb>*k-0fhTt@v;R-~a2tiLN?BTRSYL68EGaqZM
z!?b3{+N3{!Z)>?M2So_+W_zv4hzFxNJUmH)RF-RS94#smslMgkLh-zwnt6C~Y!E85
ztqppWS@c=i6lrN`VJZi@*3K?_goRLwQRh%N1%M0?jgKV+fq;!L5~OD)WzD)Ga513r
zBGhrm38a@RP3j<53IX^|psypZNMPl}ob!qI+@>X=<?o(nPV0bA1mzB9wB1%;iV0!B
z0f^c2czEq|KV7Aqs5@Em)|$S%)Rztffafe)Bvp;G$NLPk4Exw0++wF%9RjS}M>m|*
zyw7irrN!)1r}FLia`mUm_l}O?+vs8Q;lV%qpFV~)K}c4^@Nm6G)&9mc>dE&}{&%P6
zf~B)x74plnB$}!39@1wGgv<4*)EA0+L7W=u085v}xwj-{Mn*hf;_meAow=Er8O%3;
zml)Nx&~<C9{2_vM0y}Dd7QkvtERs_5k+Z-fSWIA=&Kmn^ZQ9LD)j;E(Lgup6uh<x5
zl8TT#1E44kT3h#ltkncD^5kEUP?QTzvd_0!RMx~DvSn=N#c|G9_la!5Dgbxk=}>`A
zeaenJd3h6Rzqc?%5$q(ex$;QkRw9Y>gX^6=FTKunygL-^xbTQjuqYBog^kuDHwOfG
zIBzCxdvBjRd&VHi7;{6lG7-=SISUUB{=9Z9xZujU^Fv&SQ0>95pjH<NM!3r;GX-k`
zCJEMrJWba%jh28O0l(0oM%pv@%+avJ8l=*sq+Dp--Cy`sA*TD|dyS(M7!pV%exjs5
zZSHPMKnHNsb;@v=`QyXQu(!)Mupf{4gES9-r3DOLWz3EYiz}Rnz?%zmqC-gNKLQIA
z;KNS-AR#vdCYA??Utlol=h6JzQy9($wcfrxRy<lLEK1n=EH*!svYGeC*nK|fPeK-K
z&LfuoM^c?H7tkg{doWWH6QcoU<^AkOctc~cDjvha*Yb$izdci^upU>HoTDz4T9lc`
z&pq0|=48W>s8pTDdaLt&Z7rr|-9ZHFQMW6EE6^Do55;&D1bH-3q!-VH{>L1rR&dw$
zBumiq=j<IFog0oJnrfs(vO|Rr(0qbX_<3Is`BmfSr6JxtJ;)uv_f7)PBi%5X+eY}L
zz^46AByB{Pmodh9yvh!uun0`<u5_s++A-rc>I9iYz@YF1?xJgv2;mH-iq3h%KM;>M
zgz1qd3ZVcyOw_C+t?GacsRjkz^X{qJW0r^Pxg5dMvjw9Xx%PM;<QLeL_LayQJkj)0
z8$Qkg$kP{sj=p~Lq6d8!xA+Tr`h~pEA2wYD=hN+1Y5(U1=ve|Y{K&{sQ(xrYa;*2Y
z-!+aH$FOe6P(>|GnF*_qI?0w~!8SjCB?cXxiE0BF3$(TZ{Mf|(y>#|$A{L;G;W8g8
zc*<A;b2!_~e#&TFhn-7Xr~30$_<IAMYv(2;?vllvQ}W0SR{uJ&-$lJm{~x~3t@ZI=
zMrJf1o&b>-${s{BR>K2_`!!DtfJ__@<Kk+){cQlI5Qen_MG&rx2T02yVu=F~M<SbI
z($aw6_v>&7ID{VVJ#ZQ#)_LTGIsr)dL5SNU<V`}2;!7(yJC`j)Js;(k!5AsF(TCB8
zt<dIg<a@s^F2-sPY(<42H|K;enuV`9Ba#K2spVqvRZYG=yR!Fp&WzNc^Nk@LPcn_A
z$(TsXOpJQCu#PCDto%h%Z@OPE1v`YO@02{e&~xFLI6+OrJrRQ>z;;18PM9}CZCj#@
zv*#DrNT1;K>$!!Gw65V;hLYy|c1b$Jp%Q1*{)YDaatT!(WiIP7NX`Xmc~s>{#RX6A
z0Sx%1pv)Q(ZIDtCM&Qna2T|&1SZb=yeHpnrjo!pNe;%NSrbwX%U}cbh6vnER;@6>v
z58N>e`$xxZZEXZ!!taFB$x-QXJGcIMb=S}F?lSaaI0W(C<A~Rwg!H*^8mQ=yKx1^(
zxl`&wzDdIAFGVIxi*L{!tua-q&6S$Z9AZ)aP5slr4f~I_IiuHnLrE=%<Wh3^ws8lC
zG6USTeou6y`G{vkcP%)EPcw80s>UxH-+3i5fNvhns^z<P2OVwh_ueJYnheu1UDVan
zg^Q}1(!|-jn&syPBXNXBf8Pti9l<LgN+u0VudnI5rf?PoP<I_fL*Wh$CJ5wba`~e{
zX$`9`xJ^L;Om?PTSzn*3veUYIm&75c^c=I5nb{TE=WyOJ6Iek<KfOQ@0)80zff4sc
zx`++E9i_ZrQV{>3+DYIF!F6174*q+g7HQ@sNrj7#lgJX-ue$wS6D(H=8Jw5@&Cpdi
zVt-nk`{=^of{@GU?vrzu!UAXJo+|vO%KQ+mv|F>p5T^UU?TP^XbGf@C+GkLa_f{+T
z!06qvk7<e|5J7Jp9wF<QCm7et%zTm0k9rWy(_5@J<m<>1^85F1D?oOOJecr&y1Ugj
zyVk@RlT1DnQM#~&9@zfyyUKCm(Sst}iHja@<_nHrT?%J)^VY#l6Bm3aNsb;h(7+(-
zN0UbojEsPIK3-9{VGcT-sxgMfGWg25vq89(B8}&NmDC@$y~@KHY3=H8-I6p-Tp;Ws
zqwmt=!ezMJWf3G&(}jbo!oYWdSeX&RJ%WNB%cCT0M>4r&(#Z9^ToQ4ZmAXWn{sbtV
z800QzszDi~U}f?<n$#lXKlwjzZq2!%DKFljeO^_1zjEw9kHoED3jFII%tJ^mjkK1q
zi9vxNGS-<D)h(dmRu$lr-y`69Ns8*6+_j-J8D2=`0FZ|8yxy@b9N~O@$18Y3UKB;2
zJKIjZ0B8v4ukn#h<sH}#zVe2s-xYsAE6RW+JDK~;@Zu^_tl*+}$U>gJgC!gJkBtqJ
zeV8N`TNR%9TL8@;;Q5&ZT(9Zghsz?)(-0Vfc2u~s8S*8AF&Ph+{NF|VNB2Ym2Z5)*
z{4=zOv~7PsxVk72&yfrZnS{6caMe*BPy0DC;s#=A2Z0sn;DuC38(HPpTJLoou4|q=
zPoqD6apLT;dp@*ENW(Pq-gV((j6y>1Qek1CoMjA;hQ>n{bDN2qX`!v(-sRiDv8K|}
zyR0b7kwlM+|0?<U&Zq@_q3kpcjKe|k4Mp8A;W9b!%|0JHg9;pZ_Z4*vsMS*~3~;6E
za6f|Xn-VNyjzlKHH>R^GPrsJ*nnvfM_k}s?l(BV}UcDQo#^>xh5b1TDY;C<=XY@yp
z3vo>Nm=Gfp=)8V;DTwJxPs#eD3x>FNmyH8nd`rTPFS&`OsPG+zLxd$YRg><~yx@Nt
z>7zRW)k=BEWaBUihLDF%09%R*XbHhROWR5UEBL{Yq!kYR0(G_z2RBb$q>m&~f$`tZ
zDW#bNfOu!*-p3jvQ2~ur#u$q5k6`UVFfnhZ7yms=w&rkl`P6vD59SC^7xPx_!cs7W
za=8K1Rl^J|tPvY&WCvB<f1oP;C93qnT`%Mhr21UCi~Hwt!IPr;I8-xKInh3nzVpBn
zo<o)pc5*op(O^Nfg5k;l^^h0G$Nrhi*d5<I@h|m^_=NwBOQ7z*puno;aP}Y^&Gl+b
z=@*B8pW|h_YdYMliboo^r-QFRP70>MX5mY?;PFYHaG(tpOig<g!Q>P6g(&0O_uJ}-
zpkmo2IZ?A)EDkgrsR8u#qnt#-xe~IyBZ8_|S3|B<EL^Hhi`NCg3~a729mZ(o`@9eF
z=cLr6v}TV#gGyH!H2VK9t{GsYF0+9P=%><W;3$`$pr)z{X&3Od10*XU&4peRhJLWx
zg>XlS9X@y-6d25wBV)17OR)L;2C2H7%?&%2d^JLbn<5`xk`Zh8<|v+XM@K)QW(}!1
zXl-&ko4{-}K@hTw&zv=Yhc|Tw?Ox3rSf<SdORJqQ?U3zn01`i)Avpatm_4QMqM@UM
zI%tUjm|m4F-b7}q@UwP)gJv=EiA^%;`i2Iu?d98L)Ie1fB0})$%lWgjDN5s$X?ba!
zYalk|Bkz4PA<wm<LF)njH$^?tP6}z#PJFVEZ-4c!b-a9ai3$_~xELJVdjeQ;#BS4f
zbYlw`Iw##(e-&9`y+Mxf0!76H2#)aafbKQZ5)jaE|KCR(eF4B=+06=`S{BDB2seYi
z3kh&OFKN+5A4z&*06PNl_%PFPaTgRJmZY`^9@z<6HylG_-L7apd;P1;`@aMolM2U2
zU{gBYU1k3@%0p-wM4BOJl}g`9O};Q76eIELS#l7N>b;7V&#L8tCW5Fxmt+<5G(*il
zHy<NKrbxjvVv-s%u#--*hTTibcOA~GKtrl>ulV<y<OQi`<x}P#`rs>OQFPBc*POEp
z!oj{36!>AefUd{}Uz0iAAwrUl8RPMc-;7P1Sp1Di*`vD{;POHs7)AmBsxko}K6KbZ
z=FjW}69gxN<_wK<9&VhK$z>MjgT3X0wCZLXjnZ%xaz2n8sYDe#&C4H@0$Uw^Hbe%U
z{#Z;SykA&0>Y%*v?+thv;VK41IL*S}$Y~QH*8t5CniI<b*_C&B{h!3%`rkDe@RGW{
zee5QUZ~3|6ExXN7mT=JRSGBc(*k0x9ac8kBn%;TQsvNhteaH|yW7>num1rxx+61kY
z5V%`rqlC&ESZ6U9(SlAuVFQK%-|_RZSD17SPXqP!364|_TU9=4dU#K-E-PYqj4`LV
z<OI#kWt^bfh=goOfV5nYFiPwpm5xDpjQV-Zttl3;ri1-4j1-yp*q9;~$W64G1mnpP
z*lH0+h6ij}&WM>1se**=!ZN=lZU|D`9~U)0{Z`(E(u)rGjfJli_i+D|bbL>iHP7I+
zj8=<d<EJc$3&yt-Nt;ef>-(PlUl>daI3r+kNI;SB1$tnmvja(K>FIw@1JfjTNPw`t
zA)C|jjkY|Q^fTrz4{9uAO=@n5h~#rBfi4!-UhsW?z#deHJk9PguPQoIOItuk@iZ09
zU+@7P>109bc)<~l_(1oCdAPp)#m6FPviLiH{`5ERePWHd64DIOvcBl)TS!ZfB=obg
zgdn{t)#j=H9<JwG7GGtjAyLKOlrq`9SkK2ClDr6}&u|&A$<AzMHO2M|WGDC*lZ-it
zWDO|CL1n7m7_sGA;uvcP9Q54kqDaBk4l6)Pdb;1i?8i!q;ZiJ1h+lKI{+eHpc#&?=
zY6UqNiI}bF@VLfHv4<;zpv?WKYjypenx4*+sN^t{nP6Qin))QPrvEF>BToa?1`-DG
z*G2Y^!hp98T89SZ61)$Fk2VSW)s=~6n`UAv1Hxd_K+a#jVAN}#m2dRi0*RD6gZ1=B
z(vOEvp3Ek7!VcqkOUbOw-#oSbuJm~cVl|=zb^O;uIhWA=69O3F=cE<0g&vA=usc^9
zX1sg}*{nltOMZ$q{hsK&UGn`v#V%o1hybpfXZ1_Oe`&TRj&FIDl5S)j7`t4FYMnS`
zMD?Y5T$gIR2E=n|JRE~Gq6Jgx?Rr1yhc<Z)eEq8ZNd7Ohd({G&9okp}QY+&xo(iL2
z8OP6t01(sBVr=tekdND9yfK&mKK-{UwYtJV5eRt(qidz#qXfHL3ELG4hEr6&Q>tz1
zYwKj3)}lp^s~3Y_qFIJv=(1}HqE`L<W@b|!--kUX#^dYEy-ZN7L3PuvUDqz42-oVk
zdnt<|in^P4#9C)qlPm>ahP!PggqoA3G@H(^Y5w3zZjlBjrCPgq!2LH$c@~>f@h&{(
z(>W@i%B@#Z^9$_^8$u`GtN;vfALs+|2L!ki=2lyZ6TCyvm=Q#J0940e!#lqZk6>%T
z&xVnWIr1ZcCw5#w_21j_M<MPjaE;Uon%*m5JlX|73gGsY8ddvpO`C@bRN8mB0$R+C
zAB@yWL>+41((U+8O^mTb_vzg~e^yC?QC`0PC;#-I8fNFHXhUv3Dxia}DIaTKQixx{
z+jAp8A^wPnU7hf1Z;(P?O`Y6x#R_b_BjGg++PS*p?i8-+P6OQPfd&>Od#wrNX8JCq
z&fe8GKP6BLSqBhCc*tNS0RNz1zQ|(>@<4L<kLM|}UN*g2(a_leD)w#sCTJ6M>XrHb
zVGFz-kOn`0{ybQmfsEN<0oKv7vNA{~q^M-Bj`igg+4Ch&6wrDK+x;dSR2OD`@p=gV
zeNBmIiCZ}LWoQk5br)owHZxM@hwtA`35s+#{hanN4hiRO%BgP9%bVdy?@@dy*d~_x
zdNAQAmA*BKWtBxC+>vRsESx^~Eh_9~rSr#P)pu@)#tuDFuCOj6@N8bubN9nwn?YEh
za0Lz_J-|T27o1xq;QouB4XAyJQ?(fkxQGG|%~O9y|G;1h!S;iE(hQl8I5uc1V=`<S
zJC#WSD>Hd|K_!Ag&IWATP<siNLNE?_({41ehJX{=Hur}d#n;QXUw#WG+`(g|->}gA
z=n(PTKG|e~^p~|zif(FA4kxhxqASe^H#^`wB%m_L?e(L{5;tMNNP4jGjb?m8{kmIa
zj_*6SY5T~hm!q>CRQ9sxa39d5zd?wgFu;U)Awpp6**xFRq3p;SMtXo)=q$?j5EMBH
zvPY3fO@ffN1%qB_QG<EDH$vWb7z-wyN0(NAm%*=tEvz3txlRiD-x8sW&kPHL_JD;T
zV(eD!+=^b?mUav+XHcBI9rCh%re@DxG43^}as7PqF@kCw@zD$5b2Lc0e^vP&_;7TA
zmtaX)c;3RnlW>5#c!HQkqKnfas#&P$b^7eo*?nupINjZD3}MTRDHCn!`gGyv-kbtz
zQEx_AH%0Wbk^U~wbzuJ~9!e%oA5yy#n9TMAX+VK(^i+d@3KCV-qs6OIDchO4za@o*
ze<#8Q1P%-P36;}F5QTm|R?|mq*(k7l`{sfVcrQbqSzr8cwqrG}`!$9F5;xltn>#^X
z5GsPAEXbMOx3O`_RaAM>Q}!u`<bq$KPzzSzBmKrD(=|a4vfP*A5(BmDuOS7m&jWt`
z)nHBy(N)G<GAe@o5fx8dSm>R4iIHqW4Cz5DfaQZo{9bts-3$Ua#N3F}U-*{%;51O?
z$Kzrn76e$<kFJxjElD-Qgn9xd@kox~^YsDmj75pyD?l4Hhl@H0**6i0+8B4_=~seE
z2W<eBG@DAh36U;W$t>`dz^$o6xhsS7Z_m1G)or_a%NncA^>uJ;oA5oxT3jLhWF;h-
z6(cAzXd9)g>{;=I;lfuygha7d83w)+A}hBO(2$m=mAxiM(cm=B4|@6^$?t}pu0}vV
zV^$(~wEL9?7KW}jstOqk#vw<`#)D&HW1VyGQ2&ig(A@NGC|U}--s@(uW-E+zr+m6O
z36ZdB!@L9lak`)h|99VGY0O!PUhocjc&~>0GI%v2I_7P2!%1!E!;Ek+UxVaWDKElq
zTw};u2B&}o&Duge?n}OGfe_l$pp?eX;j7?bCN=y?aJ};z_fP?>TNBilpe0MCp91&J
zYj_At$>NxEDdJNM39;IDl=EmL)tRxW7#L$3bAL5jhE=VKGeXBzr$xEvtt+?j;a3K|
z4vLCGgt?(FDxE`^XgR36SYiPZ;3@kb7{0gpVZPJ^5*LznY<q$?A#@Q<QSvZef)qbJ
z^ODTzSJ7(M;W6bPa<5R^&@o)F6HaTz#mbZ&I<!^#JX9B-YV<v1F)<g5BKzR$Zt7@*
zKLWfTKz&Wz(9Inh^q3NQxR^wwcn4pwGqo?@+5q|^3r5JKBXX!inH9eTH_THnSY~X4
zO?S?Rae<~Y>L{;W?A?<yV*=`#In*AhjjgPiVl`&>A_{kVj3B~JmqlE)2ZxDlW`yrs
zz`ziE1+@40ca*p&Lmw2$zt8I`7JXe@e080>Mw+3^6+A9rNp10Of`;vBGcn+)EN|x)
z&Ao0|i6veoWX|7v!}gpiA5Y^(ib{>O?XWN$H@?~m$3>APQ_$xqM??zbebv^HEg7pB
z>n?}yy9^`PnXS$VsfMOT`p);2mDf+xJ8!@R1Z_a)pCo+w^btG(hjjL&%$=mt4xEgz
zTtHNBX#kgMk+(YiyUwLHgA1q5F0)HN>P<k%mQ#;o151!W(%qfcC^RmNq2Z5Mbi8$4
z^*)bcoL%aeL(=j-loM7Ry{RcGO3+;0uFcua#a}+pdRUxiRXv`BLLznBJ_bn_nA6QE
zdGhte+376^>(st}alDfr%PQN$oNV6P`uw|kZn@Kxcp2Sa^6(t!wp=!%XJiBw&RiA1
z%*7)BrP1XtJcDw%SYm;af(o*ovH%9=-~1=P_+bVIzgrhyH)Ah1w+h{2u|qk-%TI~u
zSYs9R^z`Urrp~$?TqkUw@XTardc>xflK>{z;t_~(PjpR{tqRkd{?y^<exsV$N^Lof
zb1``K206BZr_1#vRsei&g<G1})3v{ZVY|&gzV~%BZHnmXg36+IAJ!g3FOb7jDOP{~
zN#O7pk?5pLJCSJmszIQZg9pyu&CN!NJII%Aww|59h<15(JkNBlGcKA}3y=9NMQOd4
zm$hxK;{*_-rAFM(%`OfJ6EQF1)^3}E-Cms&&?Pl^Kf_2S`0GtZ#b30LM=z)=T@agO
zA-05HdNSjTgGi*z8wGzJB_YdcI_eK<oWayn_ljjBJN_i`;i1wy%=Ve!cVa75W}f)L
zHft<OEGb5l$zvgU<i2oSQ-h8UblnvAMx)Xt5Mb3)OZH4}%>CNC4=&#!J%9FMO$nSs
zN^99i{^}Q_5;T<x|MQN&XBIO>6iV|ScpGWj3yZ|BBY%c%g*o%CN?4*=Q!ezM`WDxr
zTsh-0>#ck>ll|&UOCC#_us_cetZ9B3w~fy|U5VWEDC?{v-}Dy4Xiu40ZAeO3zSaOk
zi=*8eHvF^9A3dhTFirBFV$+B1>G!Qd+9fteKD`9yJjMg}&g{OPpC#Pjp%=Agee@C%
z*@8OMtuEPXI|uuBxNTAWlyK$-R`(c1(+*Tbsr^RI*sTVwh#y-<spIK~ODUQ`g6#s|
zVyz5O{k|1E1;}-+an>AK)*s(ky$SFAb2&T>Ytw7XA2r`zx}e4N)#jNaS1e4B4EJxF
zNJ)f17O%4QcT>PZLj4N$y(1Gdsl(bJY&|SwFzD7Kw=#g&DOTZ}WqR)t_+)JVyI=8v
zErnUeA@WTs)`qBk1)A%79B3?|tJ}sVf6T#Gj}6dM3*h+kzjnqY^`1Sd1?tgsG7uTt
zW%OsW=XTe$!y;KFnHxRc!TBdQV1oHm0&3T<;Jb@FLa^R2CUHSG(*Eb=>6w}@7Lt0n
z9j_fn(`C78G29yE6cq}VdQ9ny8yRXC><(PzY&u}Ht8{Jio0~$WDVFgjasI|y=FcQ+
z=rS@$$}40Io+bZa)KkbM5;f=B1YxD7%s-wL?ZvHOq;6y^(YFkHNOF{}kUo>kjU0#<
z1Ve*K@rbrZ2y4P}ta5A-`7k{=72y2!j*g`D2chN)?EQfv+rNx6Eah=Uz|OOmL^w(;
ztspNSwt()ih+X#KpPS?!faoL8uDTYAznaG`yodcjI=j^s$g^Z_q<3V1MXSIOpAw(Z
zOdgQ~y0KZ*_I@L#AKsLD(3|JOTPcJ#vtZsvcrIbI2iJ0Kw(ZH%FJf8Oo8pAh#QbMd
zIRNL&`cSRfkYSkcYN~_mCSwnQr*L^oLSkgc!ug-4-U^z|OsfwsUbl;#)TkDXOyMR%
zHXnnjoo70aGOOm<@k-+9h3w~8#nQm>+Cb7?EGQEL(8%4JfefHr^5=a_C}lGics_(b
z+(^;Sa3SWnV-Tta<4(Y%CVbKLo2cKA-Gp0I*TJg=G<-?X|KWp_Pva`tiOv8az^+}u
zFyo6JtDXeh65}Wd&qER`nQk*N7bCp>%FrF(6UTfpvCzx7*@UB>OXj~4H)=3G3J@y3
z-g+4{I7G>)m=hin%OCa4Gj&U7o7crQOHpV+7P7xx239&B0IpN`)gk(|mTL4(@sKNn
zGSUM}i3pV~b!O8UGjI+yXaa8xRGfW)+O~-0eHhkThco$rLGel;JcI8<AocU3jcAy)
z;gL#4+K%kx9rRVDzk@Ck%`TSqsD6trZwYF`&IMQgD<CFlBzQ|~Z0}R~wP5Q(0zixu
zvY^m6G%Oe7@;?RjziMD+etRD*hmGzqNY$Xc00w&5m#O1=WiC5h^SB>5J*R>Kd1U^p
z)EWi4OHnl2{OH=sRQtBJhQsh{@8bvZ0-5s9co|zUz<+&tx7<d4lQGIbz*euAb;p++
z_AIq~$Pd%JH;;7C0r}KmWDLF`)cr8<*%psf&AAh=O;NZqjCqjCiO&_&-xYBnd@2oY
zUWj-FYTbq$>mLa(`uiuxM+h#*ha!5RG2xL?p*b}?(vF3UElT*zm3kL*h5(E)XHjla
z)=(NrdNtx0{O~Fq_nGpx$SJ)2oyMc($!T)qzcHXkU+sO$JYk`zbiAh{pELAyqF<3k
z7C$Aw?px&<lv*JLw*{QPU^fMOsh+zMe9l%H63a;_SG;x0c=}y==-}sOvJg@!VHHwC
ziF?$j*%XkbU%ve5`Qsi$5Z^i8%o=c~uLUO7^%eREo?er1Z;ZzU=E%@7g3Su1Qti78
zYu}=>^iJY5fgQGH+E{WlpYfL};1bG3938~qy-9+Ui;?5(>GODk9L(o#a{2+HNxw`@
zWhmvX?$nb-l1ZNy2u21porjn<4}zJbUJ#?%gtRVY)5a1+4?KMT5>_beC@IE~N+-#B
z`v)<&_0Chy9H6=wiu%8838z+{Yo(^JzfKL|kj6dYMmEKu)_0bhGM@}=@q?p>Hi%I!
zsrsuGOF&Qozzc*x0484lI|fPj!!W(oZTUQWs`M=gh_I1Eegm#n&}P_7gY%9u6_S2{
zA`zfJ-7IZWJ%3%TDT3Ve6@j-!<kIe0<27Q&%SZkJ0@Q5ze3X^xLo#1w6Uc{2@BcE=
znxZCxyIw~a{`n{P%&H5<UK^xQ<~kIhGU}`@<Eee^lKdm+M@VX3VtsW`jFmk6?exFo
z2I}Xx8e>k%Mus2zji2|&^43nI9(geu-_v0t{@bvdvf;8JVf{YEWEzFee)f#h`kgc`
zrL4mUOU1agEH{fXuJVxwRHEL=yPaWpk6Y7`*S3Q_hvn0|)*M~+b9bhde+e!3Z{OM_
zJY1V$I&4xl36)oHGKovxTqe<V>+cr3>BGG1zk9r~=`}*%1#(?ZPUgU}R)TEd4|$C%
zq>z~{RdW-&i+14ZY4h-If1zyMSGEbt?VO8#(pB*AD=-iHGfBODbmJCOBkkoFZ=FI#
zeb9W#0V1@5Iy<xekGit+;<{XIuaLH0^h}GuV2zEIT<cD540;AWo+Ue_FMkJ|u~5oe
zZ7$_Z597<kPq&J{qrrIt=^Z=gzZ{6AYGR^6BSq+R0MYr<oH}KV$vRvs{HBPj*wD@`
zSS%Q0D5RlIgF8{_y(Y{`-QkXMs*-X$L}8|;91W;ix5g&n-%+l>3eBVAOlKGfeSkBA
zIh>FXd0%?3M3<=D1>vt4V=#8}3;!Pj#4PmNMgkG?6#U}I)>{EZXuQK6RIcT%E9m|>
z<$0DsQ{$^*Q11ww!NS688uOW&TuPI0#RA*5ghb=?6wQ?vAOGhC_@2bt`wIxFFw`$x
zw5v8my|VkbxeJ`|*dsm|kLX;jr;r9I1)kRI*&Bp7sM|q-MV%Icf_DbPHy5bEE(4=~
zYRmn?R5bZrJczxUnlhC>&)o?<#YKmZj#I<5C#^3c>4!AjTsJoU93B-F33XC=-MGv<
z8sEKW=;;NHN*ILja=Mn;rNVKeva*5)g2j)z)sx)&sc(Kb{#(r&0s&kZmN^J|*T=DW
z{Jj(M;xty<aTmgLm;0LJ9l`A8>sv3NqxTGRmo-FzueNtsE)&DkOUuaENzGWo{Wsv!
zzh74%Kq)l~g*8QuWEUdNmU0_#d|md$V8Mh0(W4wom~_CzVHfUT847IkTYE)%v+yl6
znOqIwX@2tZhJY$GH}UDuQ(?Cgl^_y>dX=zRpQ*q$>fD9Sd)Rcis2KM!q-f6;{C#kx
zzc@_PLaFm9TbL-PaMrnQqz;EY=DsgjJQ)1ukrEKdz4!I?!C4Ba$NQqp4-@~RVd7~f
zM=|QwQ*wHCE-%FImGX{MC!)RF*Uhdhy6BbaWR@k&wFZHApcG2bG<&FFinGoS4<#fO
zAlWk#Q+k^5uY10c^YJkcRT@((U8o?qPOo3bLFEv>S6C<;v4_P4+|6SS5lw@VStNRu
zG3M|si5lz-wh|zLIMOR7*R1N~noLAhE1yLEgrzfT&&<>F57Gnyw&o)wq6!IY@#9p-
zdwV1Zvlz(DHPDOIV)L!gr1Uev>kA&iWM)x<SF;8RG_Qfs!b5fB-?D&C(1b8pxXft9
zAp>e$c||$X*l0dekR!*-AnAtcgR50HqpypK0`=~OYMK-SX}Ao4=3J}~U$UiME_!Hg
z;Eh5N)9!>n5GQYioDo8zxDSWl!9h^M0|1%i+^}AQVC}pnUFEqF4-j$pkNm3=eCXqW
zPnf+PEvO4d%IBeP=$5zl!AW=U^ws>G$%R`yzRo0aB+*s{N5{Uvp|BQXj8Tq*35O%}
z3u4gAk#rAACSz+8B6EIkw*y9ozh<8Qje|V?TsqwGWHtW!x9BHb-aiZ11aEI|%d{`q
zJFV0>sI$rg$D}Mv1wB(!Z&?SB^uuz%0YY|!!3D@9ATVzt_DMvX;q~FP#s2^MY<myZ
z3OG!ZVxzwjxmxM(_V@Me?Cbz$aK}4Gf5t?}SL$K<vmVbr8+SiHqpGLQrY}@DAPo)&
z`qiQaABjvWAp@?&Bo%3!C?KTlm;1uu$)+-Lx4zbpcUV}K53b!T-<N^#BzEIQp56H1
z;2>9Mn8<a(;tnyK3K_ypH>$gMqc`?Xu~dlMrIhCePpPr*k38(|l`6XuXLCa2m&sg}
z0{a(Cy_dP4FV|UgHN3SdW5D`OCuWujgU`8mWYt$f``q;U`85L9ezB_|5CaEG8f^4D
zR6tgo+1%atJI(T0l%oX&%j*m9&Yn?>gJrDl_jWk>ZpaIub#=tz#^XjWJll#qiFj(T
zRpKMTD6LSUOYwMiuw3S~zy75DueW{o)*p-lELse3PiM>=92|}^gGH_z{p&0o&!@J8
z8{6T7P>M~rTX>>L?zl!Vm=V82WicOLaZ>z;jn7l`XObKqbZcAMr-TIN+rdBW?(SYx
zRO9uMLYgxVnK+7}08+Bukjq3bwG5Qv(qc~NO#rt(6kSIedFklLhCkZU$+=?;mtysK
zr!Au=2xOB-6puL$=FtaoJMr>ZHn6E2xb1hRo=sIT{kGCC=DbC_P&31HZ!_RwES6bQ
zYEUHP-(oo^qQeKyqt8sX@|%vO1DiFpHIDpFZ))JG13$eczoOg|ACkMO%SJ^>p&n%e
z%ivE)_|kE+`vP-nzIEl83tB=d(2M?RT3?b<-V?gS3uI%zBD-Loi1aIg0cGEK1<EcY
z81F&}AwLxksp6UKP#^u3=2vWtc`z)33cSQ)nL(=TB6~f(%gc=dI)knJ6eR2kbv4~|
z#I>3@b3hXFV1V&8*mfvUz%?wxJ{in^`oGU^P2H(5<&vxH{P2FN*X#7Vv~pblKVAXu
zQMKV=q!_syy(x+l7iE#+RxMMKbk+Oa*G8UR<<gVLb!<+4#vsrk<mF+}{KO0(%YLGE
zaE8JvMX*5;({(y4g#1L5pi&{Qin<melkWn(TPTHxDsua7ctg0ny3%Ey9sbgguxOfa
z831wr0FK6fVI!LQE}k&&x0#t4z)Rv%$iW-u3G9$p3C%Ds*!c8hFsbqY<?rI6?)MXn
z-|J9`*&AGm6x>ccr9j3Ws|Ei!bsj9bMf+~99EoPr8yo!)F8lE?Rpstx8Kqqve#Kcn
z)=7rZrp((`z*sOTW18!g4Vmm``JT>%b}{Q#b7mO>N*F*uXE{>yq13!_MIG+H+3GIz
zT@^gC8Xx;)M{g}pVt4qax7W~WV6U}oxLIY_v9RTWHbSaN^1r>!#`@kDO#@SH3*wzO
zJ=rlu`e@4a2~m&-Y2Jed?l}TeR3PwU-!epIuiNaL`MbCGe(%+o1E1uCt?>Bee?Nt)
z!dpv<WZt^?G?&q4n_Duu8jua?Uy_MLOH;;lQ9$9w5GS*Y#O^1$#}k&^loyjgC>NIU
zy?ptZgQr1~W%;+&d2YoxnRmcYvYe>V*SjATo(9MYT)OWxmO1O`rPyL``f>7)&I$M>
z7@Xz5h?EI_`7^D{+Zsv}T87IoCqSIx9=?3ze|1kT`<R*C_IqcQE!#3P(~SDJJ4^ew
z1nBQ>T&FGdGLI2Py?TD|Zo_y|vg8RowUGUaE07sviD=>{Zj@!M_YC0?Z}MrH?$C?K
z@rqu6Cs-$dA4nHaVF7y^$P=R9B1<=6T-PMDSzoIEW)pZ+KYp}P`c~OrO?UYK6PVw~
zYyvFpps!TC1s4Y3YW5Lh=1rI?M`IFY?tNOt*<-!hc`}xDL}Sx`x+Oc>w3(@EP#Tsg
z?Qjj7e!DOrre}Yt{PN@6q*!)E^1SZ=U$Ff=Dmg+NH-XK{A)RtNs_noSCRHbO<I8G%
z0cb=975j#c4toe7QaB@6xaP#7S%2ZeLGdNOej_?&@S<$)&|M^Dbnvx6#P^Era2t!K
z?IBc%!$K~ss_|Kb@?r^=1qWGz$JCX8NJxL*At3KI^pOk)X_`feV84oZh5cSi>WYa5
z6M|eW)EolXTYsJdT%qmM%6XbF1l*qJZTscXBHmym*23ivL~S&ElC_VoZz`##=HuJf
z)Khse@~fS$9TxB__f0?no9iAlA+CR_cnj^MkiW<(swU|i4pQd?2t;yP%V}@Jt@=`E
zvMY{{&$o+CAW8blINCJrQU!=<%ZZm-N?~DPvgSVhJ}}MUh=-0td-zKQ_N04Y(RHyk
zJ(xdy_IlUDkPuELbw*C-7n9`6R_{dieDo-EWH&w}d3tf#5BAn>q5}A-FTzK03=>4y
zn%50q+}={wxIl^OZ{<_P{L+HRH=MRbeWQ?ufuV)%{Xc7CT4k7qR8@_~kP3i@weQ_P
zl4hz}0W5^ML!>3MjnnKkOOa~MaDH?}4NzM~U5lt-^!c~FHd>AII&)r*exh&=HCvQq
zN292CU|F}3kup~2ejnCV((z2FVVVF1EQN;m%|~o<uFIR%(sL19KE-OKL$=^6+bO;l
z0lTH6T79YWc+roDoRIc8RwJkw0BnfmX8}Uh;qj3LdT>!*Pf_uN;CxqW#n_rdiAGYj
z+ZDp??>EtTrQf@$KNFZyhdNGdQ-CYSc0`w=6^t<O2kzl&1u-s=m+=Q;&zV`60GTeW
zkgf{%`@p&p;%i4u_2)CQ<hAsyo_#-dLgY@9%^N~01l1r2)(TW?O(lG?lx-mFrl<f3
zWXId7$po+8m}~6UhrM)V^6WTSc7*$goJGaw^KgG6SJV+b(<5+{$oYv23qORU>rvm#
z-@dqjI3yTG!1o@!sHPRQoYHiy6+E3U&k3<BKlF?ZR|<lpNv@Ota&jnnT2us!7!;Eu
z6w?bJww~I>#4i<EN7a=QgtWTdBjUuB2C9uHm|N6*E}Z!raJ(E~;?~Wcb1M{y3k^XJ
zAu_)LE6ni&I80*&BtpbhR64aP98$#3Qlj8roi0Hh01hhys%0aMgpRVW317643%3zW
zDZILaJsH?W_k%Pqrq_SYQ*LZ{LCq@DY2yZeo57EnYPcUD6Tng|ximBp|HU+IcmU%R
zQee=Ed<fxckDhA<U|EquYGy_~-r|>Jc=LLR-TTFZ*B{PZ|CN5~v>$6lfxZi(I7@B@
zpF1M$Jpml)&wC)E^h4w2v#Zehc`+oo7e}sXUaHZU9<Reev1Vx}R4`B;-=jwfXAc<y
zBlL9mv5%L*5KW0E1ugU^$mIZ;Li$Mtj2hfO^&&0M&Ac~Zm3>12-Ge$Kb2mC2!+9nT
z=3IuCN=vc-?htA6#Ur$IbZMEH=TSrJI*WOtX?-#*P|n+=fdhGaoX|6Q7pXmxl|0I(
z`xAGCvE{mst*lq$75z+uNLLdQ`&FmGa*X<kR8TWC;eZJoy0N>M{P*Tyb%9n;nA=VU
zoE%|=R6@kBQbl$Q2Zi1<d`CR+e#$D(TbwkeOVr*0VFMesdQ1Tq2fB?Sk3C_^0*50%
z$(XKqNF3A|mFrKwDQ73YP=@Jc7h8PUW-pkMbs>3sPDwH)O-<YVzqm9tARevA5s@%I
zTr;pkQqz(s^k(BWRTfe_j~J$*9LA>72ZAOi5OQBzM3Jplc}tXHeP3g=+$%%xm3t3A
zq*JZcwyd)qhq(%*3*=%>dDnQCB4v9k*c87Amoz1)LO#}DxC(NF-BzRe?9uL$EuV*b
zG?c)6{Y8>jhS@AFR<5o%4qN#B&~U_`1{Rm$nVFWPAb8f!audzU8gDEebOO6{Ay%Go
ztm#p$T`FR#MatRB&#-*8%NbUIbw1CdDNI<u@JABPEzKOMZ*ax|5n%}Dv=oH^VqGF>
zIyxS%EI{`~if5bZiG|X)Ey~{qoE*<UFCQfKenV^z97xaut>=#i*5LenZ5`<PWV>@a
z>8#KW87feLjim<5S|x|Hk0VkioWN9v;U?8Dj(tn#+(>qh&fy;S6b=({7~J_KvrIRF
zABrErR+!~6Y5+EiHE>)^!+rzyQ(_|WY~tL6Kfiy&{oAl4Nofq!0mCb#q!X*BmjECA
zB;2r?W`2%{k+GU1P3K-}IwmIga>pEWzm_efyZ1jpIvKGr1nBPE0XB+*2*J}2!Dq!!
z<CxM40@NQrOIF!~ya8{wg=+$74)$Pja&m2L?FotGUie)<i>5=KSABMQ+&^K*K8yN0
z1NlR;(jTj<zAM>bCR-7D0-Z?Pdca|A0JarHW+)nw1E-oHXW++Mf=?7yUjI@oZKy_x
zF5Ie+df&>X!F9A6+ya@Hm_VWifZy`Aygp7A*mf}3eZOhA7#{g=nW_$-mdyZTj++K5
z*+1D-Zo41iDi!A2K{5fq*wnVTlBZa+FhMELu%t$9j4EJ9FTexNH^jum$B;+xf@@04
z&j7@U)4Xrv;N9q0@^Jh+0wx28tQ)ZIHm4eP@sr_#hD5}WQzy7YwqU&1M8W!xq&<<m
z($+~G&(<vv<=fORcDeUg2&rOR&k}&uRABg?+#5n#_cI;8fV(gmWSxiN3>TkLO;$ol
zN%4pgAN&yCyQU*@0MgXE#F+<z@2B{~d^_>zN~2!!a&fMDbhf2R@klDT-C8EVCLh@W
zu5xi|J$SLDjz?>oVWC8_237ZXIV0Qv?2IHxGkh<OyXhX#dA8wRMztbt9C%=u_Ivbs
z{%k{F1(H6-*g@o(2pOz_@fz41>{8+Ag*1hkQ_D5bffNc?R*0+WEodD^vfmWtB3r@O
z-;@|pI6nFIc@yr8+=)HGk94^%m6tK18~~>^EUY?FBesm>fsHYMEtF@3ypIcKSb$=J
zCdNZgkCDXD5FF&7UR&NhDHW(`5jybm_`Uz@Tl3_~F|bvHgub)|Y@|6i)1XSBJ(0*E
z;h9Kw;`yIYs@n6wWE%>O{=mU`OO_upm<WE5=6-s4e)j1xG~1D%_BmGs%e?1A&BU26
zZA)H#S-UHTY|c;4?tZc3eIN6YqYs7pu`PVQind!4ZjF^!-c~^S**sdU5<o@n<8#Br
zpqvcZzRXv|@3yJTw`24%vv_=rU;WVtW85gYS?`ps{_^EZYIp>}gli?le{iMB2U>?Y
zID~Q!CDL(?CVErCu4iG-88ryk%m_q*3prZijczg01d4J&h>C!JL?TC!lJN!Q1Bv2E
zy3F2|XAG)&ldQf!E84Q(*TX;RafCQ3jb#Vb5NI?KDw2Q>ONgJhw44An4Fg8eCmu4V
zUt0|+Lh}Z!fEi!(`%-R2&5m5rH<Q0t_?FK&33XTBkgfRUf1NAMFQ$w#uH==au0w-v
zao^q7UdEUjN5!}b?He~@RN1e5G>h&M(fZT2`1f+juM)ddHpM8x{{8s~FBbV$>`uRw
zei;Ua>5dafbMq5;I${-|!=+>{EF?M(lJMy09^<}S4#PLkY`Cv~2qKgA^z`y7YigW?
z*JG~UiHGVC(#oD-s;Z8GjFeOhxWzUgrH({TANZXc&lxS>JCmmkdpriSNhbdjG39`<
zr4j5=MwoRh7BaMBaP&~Tno;#3jt$wBq;0Ri<0&3<P>N%dc7k#O16>^e$%ZNEj9}eL
z%g<XU;n$^b)d^LLU7O%SowFtoy34Px<3=CmF3D|YeamQfPj$qS%dmZcf4{vlE=-UL
z|J?XCZZFhtw40-Bs|^X%T>C*iJf+&LKLLRV6beu&^?7_H7!ilSKBX+25fC1yXAP?q
zUlnYqh8wNV=J_-#qEVmt7SdZ@tA+HEwU7XG52E=uv2QE=!Hk@ezYkXKrUiyg0oCm|
zWj<tlHF`{0b%`NugdofBS2wuFg58hn1|IXJ^+}%m-9};<BgH1w02?9ko5i8KCH_yt
z(aa%E*Y{Z7PSDO`zJ_uUxRu#}!oz${k(O7en&U!U2|E06BMfE$Lw|Kfx>n4sSB;do
z83Rl-Rfmlf$8ErA09vo*+cAf6@H)BE%m2>1%SH~jBbmJquuMVZNM~eW>r(|!1@?w2
z>@;9e1@d1e{_V8qw)*dl9RIs;#mmg<k}A<<ib|v>;WuJXzlAt?b#$gG?++kfYjV??
zb&@qhT?JY^lmR-`b}*&`)C~X_k^--6#JVELwqUYLW>Z9h*$7DGIpY;%5h67t>vDy&
zbR6#7SoTK`;?@i7E-P9}sMa}3lmlN|cIr>O0k?i?90MmZuB7?pEFrPL8~~xmN&bvu
zgALpgj+I;9lfnRYgk8@r6}~0%a6&@DD(5fu)r9S&H0KDMqyd2hupE$DE}du(c9LEq
zN}4cgJ461YoqNB}M*|AE{anCyH8At+&b1~$3!Irn4sVegzixNEu67#u76P?T;GeTZ
zy+^b`CMZC`K+f$ksBH-C9RgFo&OawUU5=X0C42!{4<<1tW#-f@!Q_JEb9k5$)m5!F
z_OD`lH_~weWzfrwi*H`|*1?!_Mtw~!`4*$`Fi4#X==Ep49>x#|nB3ae?sC<wh&Rwk
z0H_WSw!9_y>=!^WROkFk+<LBE0ChX=HGA$&kR;TCk`LPN$fxYx_rTXkzL?1%ZLTr*
zWCRrW`6nF=AUtoNQJl%WF!1z`z#Hd?ZbKb+U(Ir;Hmu-jK`68?t8hkXfhuN3*g1%3
zs87EUUqu-Oo{JsfvfgBR?)|K~!wHL?pRj=rXLf>dP+vX6e1?=WqDn-KJ7Aq4neCuN
zElE&bEG)85wRyxIuel1t6gB09_on-3)2g2omON>F_NksB58lm9e!ol{M)9QmY5CE`
z<;9<g-f8M#q&hl}C1=K&*m54C^o=63AIqr7X0LyzCY;R*IQBt-V>j|dW@ECB0(A^~
zo>S|)e>+!?OFvwYMbfHy2v9H)v`d8=m!o63T=R)PZA6Qo|Dcod;LRmrmdw?u5!*Q%
z&pYvODQDq^G0RRP_)DFS>uaBVQJi{J!_L(me&MX^-4E2&ys{*3n_lesRq$Mm?*{9|
z<Ss$j@_ue#_vUU`yE*l^0a_qOP@bJ0?G>aSVyLY|NDS!3hip&%;R!T0HU>EoUS3ld
zdn+rMsMk$OF*S*nE+jy4I~NEAeR~O<=jtbqbDRSXCx(1XP7W|-SoFWqRUGUkAP!~n
z>cXIIn>b_VTo2<d9CBtEj7J%!xQJ_6!oJqxvl1#2d#rF<uZbDA(QPW?9?|9ZDc(=L
zel7y13wLY{1%;zw9%Y)>NMjxN6?2N{&+sL?wb#RZ&6ADr!S>-%$cv>OfFVFr)pEgw
zSE|KjW&HHSUFXAy6ie0fSPE|_3Kk|zmLvZ&HKFI?wGh%F&JCCw90Y%j0=ex0SUwEy
zhZ~VsP0>Hu_R9%ej?0kxm<mKtWhZ+fRf-2;r@EEnTNMttuK%f}zdE+S6;|=IovOD#
zNrlx)MCM`>n<99J)SeA2(_FJbwc^dzH}XUD>i{y#Gn=M-DPmNSiM`gE{G2J*<Vjrn
z;6W40^L>i0xk{?YMxJq$Pbquh{F4-w{1JP*RFMErFwP7MvnzhU9pMck{W3EH+9_D7
zpc4Jx3=Y^O^B12!aNQZvLz=G-5uQ(Z%;Pl(`KM#B)sBx~Yz1aY(!Af$82Dqha*)c6
z@cd7UI2|@4Ub9pV)F&t_3ysUS+dgp;>I4WvJrTv}3(mV(?*xWqQ|GZl;jG<IRb8FJ
z+AOR4(u`u%gwR`w3@hHT!Ep1Me%bX-gyIdylV)3baJmZ9PFWhj!KxxX?7z9+?>30e
zu{?hK7+YR5Hau)e-TCz^rKJkb9u8=>QRUiPBR~ip`$<w#e7VH;ohJxEkYD#g0{oD^
zR-W1G6ook-JTyfkT+EA*P&YPOCvc?bGDGnPyTmHA1ft(hu6+lX0R&PvAFtm%^&P39
z%^!C@JAHkUpgr3dvm_~HS~Ur8e5^i)=tM3uSX&3Z6D~ewKaWGr;R0BTZPHSDWHrC#
zeKsiY4P#53gl9iw1yS!lIJpPIcp|Gsx7fA6a*PMX7Ox20)JKo>zIZY^iX!?UqR;`!
z_YWLvzSTOLqUoCfHz2hYemC87+>Y*+aFsbMM*ahtw~!usyVUQ&;+{G9AE8}O)W*to
zdoJC}GmH*djYg%{$i0^GFgbN^Ys&20jrAyt^>lVV@k55}2yh68MMQkurQdNC&)RDx
zud~VUJZZ6A^69Mr(n+2s8E)&fyrA1x5|wzTZCco5HGo&3I{bFTzS~OkHR0P`X}<9<
z(Ey1?*zdXWK_am?aDUb~&cHPqK@ord{vE(CrbP@aC_ki1yjRPl2uWljYREo3Q!P-T
z-uYJx!b$k3bl=rNd3On03X7<v?R~d89#5S&MYM$H;W>=Uqd<P?55Lko{A^zHnQlIh
z0?aT+d?5zAUPkm(8W3UKPLP`d!S3<Mc>-C-fS*s*r9S;hbgMG??JWThi99tNP14{L
znvwDJzor!<Oh#H-v2HQqjlB8ohU!f>DKXea`#}K(5cCOPiqle4eTTSX+)!oM17r}0
zRNrtz>*-&VKLEWD7y!x$l3d6Ku7o)<Abx5bmkaC@6wcu<RMT+2KCi^^mI0B&vUNz~
ze|!{5mQd!ce5@*&m6ehLhvbkKo@l5IhSvgo?DJ8-H47Kf(O43+@5;LiXB8`Q6>mTU
zGZEZ1$=D?ugVDXcy~)Y+qN0eLXM0)hP7|ISkhP2Hg2OFlZ=E${Ft$V}FyL4BRX`j0
zmHQTA4`9SCsxuRLvI`e!Na(i%o(hXxU3Bz}*%iOQ|6Rk(kyGb4<R`1gG&$wsJrg0c
zbO09f#%)FR<`<K)cg~_N8x5COclM@lXWaBE6(Bg>o*9;R53LP2s%Zs@N*Sm~C}uUQ
zCEh-Q@kEnJRt8W@Dj8$$`+tJK$mAqFY7OSvcPxyXOqdGk)EXa!7ig{?JVX_nl!dj=
zvEwE6*~tEuJgHf4Jc6Mf_5h}Hw9OtNq`t1jgtJKH3zWb5pCG>all`odeVgJGBn<T(
zUe%*-VB&y$#45CdL+2diZK4+lNk|Yr4V?C>Vj<+Tfacmd$h-V&l2e_Zi0nlL#if=2
zD$~bg^4slp|MLRCck>+jrZzS_>F)<H_eyJg-^R&C-F8&wyZp@YAa~1504**Kry(kt
zO&42Ne<vqCdSXCo?ia|6iRphg=1yJ&c+sO2$@TPYrM$Df!dyw#V--9a{v`L@Swlug
zxNyA7Q~tt7JVo3^M;BO10zIqw?-KvXhs(`BAsGmN06h<)i7a$E7YN?*O#{H*(;vR-
zO1zRwu@8q!pq#VwTjc1w(+W&+IFSG>esWSlj6ad!O7Cp_N9*=_%;jhzLP7yBICC&t
zbwBiy)sRVikK0A!<ZGI5Lov4j69rO#_kIGz3I%7D4hujrwhL(M82^;Kv-mUeq3`5m
zG^wE;{K`A%7vXW37;1a?4ct{e-&5{8{pK9}Zec(*r)|~G|M3n-k@rr=sS#uRHULau
zPygj3Sgr=6VeSYP#V?;fNAdK^>tm_rsus`$zJ1Sl-KwkwPRNNS6nasK&s5h+vCz8-
z-%XzlLsyDx;G3d5+UkMzFNC9T!+#?$_gkSrm|B1fs`dDu?E|sj(*7Yc_s*h9v5eKs
z$j)J_2=VL$eE=zIX=z23Lw?hhi}ty0vChyZN3qBTRzMogNt*|htob$?iLc!fa1?nn
zqPg>8U>Q2g!ET;pJz}$acjy)Gkc~jMRfmqzu&{^Alx}Ws1wQlot=H+$Bf89V2S3}R
zqQ_W#Io+KY_4ikD%i4+=si7&NN1z3ULTm)j*SwK)PrwUB-fVXGeunBw)H$CCZJLzT
zf*B9%F;T<YYxtL)CEa9_0t6PAZ)BLrcK0duiN7aAUybHXBybaKxIT+rUx%hJC^>mo
zkg4r{*XIo@H_E>VZEXux-09mKiN(!kNu1kEK-yjg8FvyDLu%+;{FmDuHe<XeZBQJL
zJ!JdP^EQ4-v6;Z9pxViUc`XrV!3`e1uqVhTBWe@NN=*e^G|W<)Obnm{Esm`lyA$zz
z1Ln0RcA~2Bq!m_UxiI1cK<sewr@VBLo7sKz>esd0a_es{Lg&h`2NGA$cw8j!xI&)x
znz@whsauv6p0#rMgE+Rj(g$Y+t)IH{70n|kSh({c2zXj4%8<c7H9aVQZ|}WB(C=XA
z16<By&`vCS1jo7Jx~+2fzqvigzn7Jz<h-pr%nJglwte^kbS*$5=m8u;tqmY~tELK!
zmWZ79r4Oj(4zDc3#iYv>1U;yaou?z027@6?JxnJs+ZEo6d$uc=y1&td;_a@DQ4og#
z?4fw%m)6zNDwX83fyyM!dN0DU+0i+iMMd?c6Z0Qk({+p4<z509@$j(xf`s%6r~Z=C
z0#HocQ0kOR;a4-!3sKjh!pF;N*A1J5sE@07&(!4$i^gYWNCaZj-d1@VpT86+@Q&Jx
z{BfI=Q267E$ZuQqgFqD6L9C3y*a60mXIULA63j9@*I@ohNKDMgoK@P?;13kZ3n>Nv
z72!gQuS=kh;vSdBy^;!g6=;YpJkKa_T1*2KPJm*{^@4Fuc@OFsUc;0V*j!3<i!-Q6
zq_I$jwmw;>g;|EnRCeP{kRI1pS1+DR;#5YeGP8+X7lk}>DE%ZDF~X`wg`7&K1<u72
zL|2_y$S$KO%}}?E`tzO$N{DISmdALE*@xaj$}4S!BV;p%e9<nmt*``>@$C(UN&ZH-
zs&Ag-IWoe+fFOMydeY-FsG5{{+1fr6v`Gc`zK#wL9rD*YisTey=Z!alSJ;vj*x=it
z?;^{yPi`0qPI6NwH*e{?hC0Xg;N_*=6hX}YQS}}0RQ7$`M^lQ3kX3}Ntn67*nTZ^G
z%iepBip<E)4%u7w2wBNW_6QLto2<xqf7j`L-p~8`JfHi1o`-YJbzSHG|NVdCJ6v)G
zMF;^!bfqI!;}zA$Lpq|+seYjddS=p)+hS|A*15{3d=Yd|&Sg9+Jose9iqHx9WUom2
zeb0}tY0e_)OzgtmU+7tjrK*w`+2vrz$Rr%|s|<TE(w!0nSXI$7^x4(eg1vv2v7JBl
zd}>NZdnC@2>b;Im?=fF4IZ@k}u}~o`Gr=%Mhf`Us&pGn!R6G0d|5ixSJ?F)M7FW@7
z@bBQ{1_wZQLBrVd5K%tznA(Ca#@?DsW8DV@NzJn=6AzJ9E0Guh_ztA`K3>^y<5d+R
z+om4d^27G;=bt~HAt&E;HVgh=h|)JIy30r=cTOP5K|L0;umCF>*6{?9YyJ>8dA!np
zo3*IMc|jw!k7|2xlGLj=m^pS)s_aux2fI6inMo5Ro_{P`WI*MGb~W}m=<kAK_)SQS
zX~L^~C`bB0r4S$GiV>a;GD@txjh%iWBcY+`Y48Yuqu5X`l3phF*K|8F6J2!FDDZ^K
z^*K4l$e`Kt*+}Mszi99NRU*11Y|i_jk)P;9IP50(n`?$ZrN!}u#;HN+Tk46+sJnsq
zw8I9Oq>lS;GG<RYZjaJ*MK+NQdF3&wLsiP<<~;!nbVtWQ9(g`Z)gU$^a|f0A3gZtz
z#(-rpyxtFC8_0d)C@tqPqvbu4^3FnDUk(yHL@@R`&;Vg#0#-D4Z*T&J5fQ=xNl{%M
ziq+4A|BAfbpPR1EYm>QV2{}?61dK?wJh12}Oze$7wUmZ-mYnI?WjbKs^J>;kB-D-u
zLq#wxtIHl|qz>b^SNbp#I~?`C>|!)?rit-Au6~@1N=8l&3+=nT6<R;&%lWtbh#~9I
z2jdRj0Uj`o9|E1@+HdZrPk$iLhIe*1ik~XT$aenJTkss<HNnU*pyUUJIfRk^fUUNR
zp56>J-?XwHz3Z{r@p&YGshV<M1~mrZ#v?}5;lW7bN1**7D)x}he^Ax3YfE_aua2nX
zAZmeYR%V$O2&0Ds&c}O>yj`tEYeCuk(K<>`JyxH*d!AQ43iZi2!>d6}1pF1D1?%@_
z_Bqk_3Mg=R2`Ea=DFzctXP%47jsA6YFEVx#bY<A%3`2vY1D<h9Grw*#fZDp+u`v_;
z6~H1xc^Q2<pA(azkxFqL0;U-s6e~}?{17Y|$`+WHvo`(Cl?SNfb%3K<*Ka=Dv=gBb
z|KUe`>iOLU9Un*wu%xC#$iZT}=8GDS4+!wD(mKAenn))P&uOW8_EHPB#jm&baMg?4
zgaeOPQAHiXjaGHPE?h=srN1z|A~DXokxnN{`(7nKKC`}eY*w$U!%~$l{mYSTp#q<v
zARxLBmil`TmXDDMn}cH@VFCD_vbB`s%6UV1cQj?0Wd{RPgQ%kG<wpufmX}NK9f327
z2aLlm(1H$!S%*zn<s0<54FGg;JlH<|qWbYS&}d=Q^I>A^ZqgQFO@in{gE^xIFna1&
zt!#vWk}Axn<5$TKs^8h!tTA|~pV{V{jwlpBJcW{XT}A$N5lv6OMGQh7h{7=f11m_4
zovYVAm084q4>n<ZU5Ek^s?#XRp@lP+O}#P6yn-d&rFdjQ=T(f6IvTC0Tn}XVF`7$O
z7t+m>1K1m)ByP$OYju?k&-H^zlQ1d?U@kxyRSW-{QD_h|MxFk85|JZ?TU$ZY84lS9
zBtFBDu>UI~JjL;wbdrOmK){pi(aHwsbVitD$qe)yT-xh@VtDS$Kw%K(4zyCpmM=q)
z`nuap4&@BR_3Jj^&SIVk^C~0{gTN{5niay=R3$#2bp1zRiL1+mPN!}f49R+oMQQq8
z(3?vHA~PW8&M7@yYV{9e^&sMg(>0QYKEHvj*bqikm%Q}B(J`{BS6PW9EckhOd4*M!
z1NoVp+{~mhY6H$WC2V}tb57?5eaxBf7mzCMl40oUurL^(f|i1Lg$VnHZnz$E9*PPL
zc{UCr37(D@_y10j2~?{zb{`4Sau&B7g8mM^#OFx$z4YLZW(liPhNfML=&L9V&qbem
zc3N5k>M+CGgSAn#3~l~8A#aEBiUMwbv8YZ|6Qa3xQ|l&>4ttB%h;Y;P;WRB&$+)rj
zP5+1*mzL&=o*wv0u*ZRl-NV;}5YaWnU+KfBOC`UJ{3!_oAufRV#KhRYG?#1K?wqI1
zNAE3lJK?u%AT>T9wO@1xtAR@C1Q#6m2t%UCOr!GchoJZNl{0o!f%kJjMy%Ln{v}D_
zLiiKCg706f=Z9AMv#wk^C;R=mMAm|;=*8oBdFzq4Y2RjK#~n%~=zNZ6LpXGbuACVc
zQ@PfZ4;{gU7YADx1O0T^iv6EFf==e4a?kzKvMK21xKtKNIwx$fr}ltl8`74pcJ~TE
zhe6d&dt`l&SORcFd1Kw9w}S+;7I+1#cQn*u7_zUHC9I|Sxe<x821_vGpF@zqs5g`o
z3h}Hh7g;x{-rdXmGh@p`;Uzu)kwH2^_x3t&T*G^t>sB-{8pLd&zmJ!rrI_{orBF?R
zHr2-M%w6Bzp*h|m`xVL=#K#bYrR08ad8paXa{3R9su8{hASU)<R$V{I3rOJ0D7~1o
zexR#Ng?iKZjd=G;O!HZ}&ik-5R^n4qAj_%IdW=R#_(Mh@mRiLIE#3CFY%m0by=0XT
zT2c0D4l`r#@+R-tv}8!gax9225{AGLQa(P7Y+YdN?vNtRN#~%7Ly&am25H)6S~8rI
zF)|JB(}Hu)^n!m@NQOXf4f$>MMjJ%4$gpU_yrO-9n<awzNun@;iM`7W2#AmTKOq4z
zX$yLTh|LmpqaaKKuQjCt`y0{mG7;N~9{^uiG*~>&UW6OWwJ2^-(W=S9q4Ptb?$%${
zOJbHSJX1Y+HmM&FLyp~Cmon7Y*qN5tr6cq5Lb*!kL`m>)P?_+3a<_j2EQmz{fF#}8
zSaoQ->;ahuxF;3a_pKmS?@VLQ5~D=&Ad<daZLJCXFfS3Dz6**_FlKI3GN-@7b?Ihm
z9|BCvhLsJ&7fHI&Ru9>yBu3z>1O%w}d9g-ZC=~Bc0J#V4{G#a)?ATp5{RrVvRmW`}
zLSqb&*Wr9R23=YoP}1Egi))Y@aq2&R3>|_sq*ntLt^@&K{`;jjj67|%b8fSB;Q5#G
z3ni`XECGqL2^nJSNNq+9b5!u5d8X*{oNGbgF?f4{ItRU7FLehfy3GC|a{qk#E(q8L
zw1CZ3jEr3`AUK@7hMYcwI#G?5vv$>(WnP{P^VOF;2yehl1CW8=llvF$G0P)!)nG2h
zVD184(<4w32@MM~`0FwVWrkS1oHwX%gQVcpuqB^O4GhSD;Izr>4UMJg6K@e3-3eTx
z@j(F$h<fuJZX=X8ljP$UV4%hneA+3oio{;+U2nD3Z})VLKuQEKL@mpPxVVRMb(N7D
zM$%WDb|NAV8PSS}6Fa$h%@9@c`@kXk+Y=^wmER+Qgxowl;NeuLg5c5Tpd7|*K^?AF
zJ6S3zM_#ym6J(=pfShQO3^`b1(PatEHs}YS1mF<z*-D(&avDM-Lmkq=r5k?rAc%O>
z;d9slFzI49KU^#Jq%Al*UhEowVBQ@Jsud_>vq%^Q=tP7I>f#d_uvP-JjXa4+WYLxD
z3|BCdvk$up+rAx3(v{L!$zlruE@9!sK1?br+A8l!+$oH7-2>*U`J2GM<moxvxs>Dp
z*yyr@SD{*w?_qlaYA(D(vyc>p?Y5nMj>@{55w`@uZ8C;mL|0U<H=S;>>!5Z4cq8x@
zL=S#tfI}60iG;XN+aPyIf)*tbY6n0f2rze*0W58zGJejshw(1`6Q&3)y)#mPk6vAs
zr@un&<IY3^M$dk7Cbw8_=TwDv3_J(nT&0VvNay>}z~KuA4);yaDglJdG^f1oJIit9
zSmj=;{7g<^BXR@r`i{9$B)^Vmmt($)o@ML0Vze}zkvL*6H(<$^h%jiOhyr-D{gfCW
zuX+<sxzZ*-K4}A2y7BdwUl~VCc>r_k5QX-4eKs+j$4eFPTZn<>^y@l;v+t5hYI5s;
znSZEu?->uOx)~%11h5c(R*?3-5;U{sg5>$c7?ISz5Yn~Tz>~HwULXhuFqP?&)n^<Z
ztm@R>`_+~WD)D^JF<DUwHwqH9NN3XKB=5#-t#W`*0#FsQvrWD?@&o72$^#tplv%(R
zJ|!U#|59h!%8vWM;<kG|@m*Xi2Ws3IqH#uu<#3rC_-;8V`Isb93{c6%b3)H9m33zt
zzs<jW?)8csElpqXfC>Y2d%j2SR13nfI(RP>sEegQdQsx9rhiHQ(lDx)Ytj^$#*RV_
zKUKl%Iij{XU7Ed%0$S?DW0qF{^Nn9z#5G|D+g*O(jBj)EJ+3$?UYI0-v!L?vuh(l(
zYXpF3>b39ZyEDTc2=pEOU@ppugx0Mfz~Oj4pa>-<5Qq3eDS+fxXyEmWD1+ldrIj`D
zQV!}2+qFwjKe8v5&(Hbc@ciE2!NX$m3Jp9x5BJ7Ssfs$6#j&!WY<n|fOB<C&)!BlX
z7u$4)EctMJ&2&(NHO5FDr3F~-x5~yUfG!|JDt{=No~i4EFHCR*I~+s8{p{iHSdWm|
zVCygnuvuCc9~kc)DMr4Bq}=*y!!HO+f`C*4?U&Z`&?JQ0K3bIN?&)dxX-8Y$2`d(k
zQrY{c8|J+)S#hW)+a6iQj4{Rl%_X+OoKLebHpj9m*aW_*LX|e*t7tTAjfEM=5XSAn
z1-C)R#i%XJr8$jEQX+79XDql({Eoa7<kB4MvpwW<cW0hVvg+V5XF_J^``z3$A!`}f
z7J$fIw8Xa^ae9!eQK}7vBlL3Sb$T3XwBX2=duq+wS<n5aXgMJ!5+No6@#;P!8KFc+
z9soH2wCH)`*s)UlfoUQkz8TXK)J)Qyi{rpwu|0=sYCemam9hPG5*-)pkkT~|Voewk
zaWwJyxkcZiWoUl~rx$G2-Gy8*EWx}&NQqyK9w+3K9(4T`Fq0q$32w*D>OkPPovl55
za;X^U95{mk4pk4|p(MaRF|!<688VsNqM`sNsyhOWbWlHq5n!jiBk-4A=|3^%2;69k
ztV0*iw?CZS6hKUU2sF%4h)`b0Wghv&6K07Czqd1Fw6$<3;DzxPd!)DG_}b#307D7B
zCoHkkP!IzMNk6Yhv5~zEm#}^Ho8z56i&!K4%a;u=0p-RtpU`9Q-cYPa7uxE*mTZs(
z0RRe6GVj$f2m1bN&(vd?(eZQrqK|T(R|(DAyBQeJCH8zNV`KSQQ>4j6LT(5RVtoAD
zfj_Pp0yJno-O-ib=(*BTZMTzlhn<k{W52I_Ro|fG0qcYC4Q7cB5$%z=#k+3fPik}#
zl_{z()pJ)QaC}Yq&`exFvZTMS1WY>D+;CIAMCeO!4t>q^lOs5{#NE&Hm9l{6j>g8{
zBY5h`M<0=J?DR?Sye~ug1Q~$)147!4h9V1dv=T>*{T(u+Z%)3Jq)Yy;)=LhUMZk%`
zAYCl_5{GnTI#Z=pUr!H==|RJ6|LInx)pe>tZsOgfnPC^dCzv0)q<$)`FluVh3DCT)
z0~W`MBy^{55nwJUhgdNFIAhuQicu9`w1`breGeCU<kn?Nna$4IQwvd_NZ!M2g?k^)
zyR;q!G#Ygy-L{*qwGucM)#p&iVTtHW_4Yze4my1U#ku=}HPIP8LcA1874MC+%<|nN
z*e2mH8cRdqON-jEWbD?=(EkNDZU879+i@ipOB$5O*;Ao;QB5ka5_&(eY~un%l|K2g
zW^BwgjyvXNwJRuI{E*M=pF^dJEOJ75VhArXRzNfIEb9jBEHyR&&^jw7!OZtvr+h{~
z3KhfNzyAuQnA0u@Mn?H+6IcxPN9fNNknQp3#g0_zQHtoxaZ|Jw2a!R;0oXo>{pQlE
zYCW|*`(Bqnyb_~Q%(udPRSC{zfEB_A|7FzOZfdp>Phd5}(IJz$(0C?9&I2_QDWQyC
z(6W2VR;FeF-*FFc!o37nY0G<@1bhLl4f4cQ2=v!g#2fT|t^@Nbxj|fl^7HZz!R5=W
zUnKK~z9<akq%tS87*Ps5QKikhk1Of11GmG;`SqBkcOPcmrD`M(7I6s)sBT<WAR{Yx
zFbO5P@hrZc+>S~W36EA+(?jrb$)Y9NgIa4GH>_@z%4J4V?&fZ~YQ@fj_A?(}W%0Nz
zx(EN^z1U{E-3p39ZkKbOFmR0Ub=D*$y5lk#p{w&C?C^yJj3lMNFyWP?0Ut_=yHswr
z_U?r^be4H@%ExEi%z2M!{hnk)!~F!AFCr%7(7*tl;d_5)0Fr2yoeY3;7O{rogJqy!
zoa_KwZ?%b&Xq-xfrVj-CVD`o`RAM#Zq&>hx-Ju@}CZ;-2T55l_F}AiY0%4YH3U3O<
zzyQK8%@vcz`gwS$Ncy%pJG)GJX)1y9E}i5lFIj)@g!Q^0^RYrAMBVl-iN}Pva3}g|
z&YAACFj4GC3E|~<+S}XfR{S_~GmOT((O1a*Ns;QVs%)OdchCS^8ZRrt-mgh~+XzVW
zL1g3NN|QA3Bg}tGMtLlVkr9CLp$i}%bZ$PxwL)ebfYMk)bPqum?8o6tRc)u3z^Rwb
zdKvvCR@ez2-1#e?`md#a0L}#ZC2P$nun^+dnHZP_|9n#LHCK+yReAeGS_#-gfqQ4t
z$AE*UTwAg%eBQc_(f2atCm>CXOOQMmtFTbzON^PHZFXM?E-*WO#(j+--~#QC`A`{~
z>Q>oZSMSirxcbjIc{Q`lhRrL&Mv`=!fQ1?bT+Q-l^dSBR>2H0aHj<vvN=Je|8NiF^
zxFF&`qKg2owP6QAlJg@A<w6ykhMnQM^^YDflFTv#-JPe81?M4=7l-i$A2`Og6qE&i
zHw+g&hk`ll!@pAOadps!Lg~Te9^fq2)@z8gBil040Ke59^fgvFSJ^%a{rX^{-y`u%
zuta?*h|aKtK?)(MTe7G^UUj)KmeP9cEZCE67NQ`26#6TTgV+^<nuN_z=e#NeeIft~
z69-AQrn`e@bS`Cg)pohS*5XYk!+Sf`JA`=tl9{z_+S6=Z2BBsNmCpo)<OiUsC&<ZJ
z0&xzqQ9$beUF8BKoRgsOQL@FVkpUQW1TlL3_{a4W&)?F;Bf<g#YAi7TTfd$JyAjc1
zeHcz)^%h;!Wb#2B^|rBp@0R#}(3}8Nwji|4i-I@_x4i}ppT7XL9gTQSSAG>TSk#lx
z-zayLmpT=$Ms>b4vN`nj5uw2(k!9Ia>~u-qyi0AZUf)^$U6f?iwO<?QY5lt4SAMa#
z&xKP@$J$*ZR=3(%R2s1c1wzneV0XbkMj3#=3I?S1U~B#cRFen-Mm*k_J_XTCkWA#f
z)c!V|skW%YptLtuq#96C9qsKf;sxZ_`bR(#p?n`^*a2OC%6Y;H(F_OU-`%GQq7^U0
z?<3X2ABi*+YHQgBNx@MYfLyKk9=ioZuG^^cs@9w3_(7!AU8!dU%0D~?7FsNQ(6<7F
z74`yQg&iKN0eG!<9+sz2dtf&=_j=|AXJ~VX)syvT@KP5LVCpKH6EMicLrGq(brgF2
zedY-z#?!zc9oD0df*%%30S0iwzez@%!0Ukq1<b7Cz$qM9wA1!ox5fXC^&LZXe+Y`9
zpHSW&8b&CN^li{`n~GqKTtc80mBmC>cUtl2B_^V9YqZx;>IP%YXS2QJA(a3R+!z@K
z3f}PtE}LG!^hq-W147E-hCWLC4fai$N18qQ-#rGG8qd6Jo(mWMsFd3}XV?CgUb?oZ
zcyHIEd_M4(XlkE_2#tCyj_>~_<I<7fb3C3pD-iZs6!zlC;hf(a?K<b9AD4X~0gvZ+
z&`}KqFf0#nu4+75wE>@LEfg4>Bi&8ZO!>fL3*D#eaX2>suxXHlYXzSLrOIz*LpyCD
z6z6wi5o$H9%L=g|EAOm)4r$|Bz1QPp>f$aO$|+uSC-5kIU&v@RI4?D0`synsco(Px
z6Bob+bSzu$4FKRF4bfjs?8(w820A$wzdT;Y(n>%iV+P_fMm0Ba>htmt$`;~R14H7z
z@Di|SfDM3yLcqM^sV^$i(WIrstg9p1F4{F(#-WJkFN#wH`I-E<028-!sL6_u$`5yM
z%<Q;RmrxY6{_uBnC$LVws%874`Q6C!_a-8+XP2N1R2l~~KI^Zic<Py2@3QVuB__O5
zVrTMSDSB6&osD^W*#Kb5ptL3qa_#nuW*PgIANIA__a<s;1QlI9GadyH+~mff(b`(X
z_Yn4+<%Bg41-08SO#K<84+4Dt1o-U7`NStC-nldfvo&NqAt)&528nt-pgDhiehP%d
zFIWFG9!)ehK*o;1=YaLT<8Dzwf%5!$^Lo5b55NP@ql(>nEQZBo{3@9wkRFfKgu{6m
zf;&b}m?N}$sW>wlyyXX=g8D~s7?%QH+~VT!#|n3h!+&C0oAtl5`X9nK-Qj6h4VeKK
zmtwvc<t3q7YsD|z`V4aa!vf$m*_qb-mTO=?-30iViK|&(UlG^6j7wC$(gC_YpBFlS
z?t_Iig0|@%D6oMp;lUe$w^H<gd0zkoszFU&@UOR3FtkIcm7rdj$y!|ht<s99p%GkR
z_F-d;fAr;Y22{@}Y*PS<K@T7RA_CH>g~}`e=Hs2wdHtq5F*4L!`FKdzHU#u#LGMhN
z#Xk`Spjf9IIMRjdWgs~lHt+Lq$tr4mVyPSZU2Tvl)-%=!Kr^83{QRcmR?v9MBU9-&
zJ;uUseMPvr=_-ez_XBANA0Kq=K?i;P5G08^0U11)oBgiPC<e?wJpsP|5v<+T8c)1C
z>>h()I^t%3JO+rG5RQ-Js3}meFLnyWwXy@Dp1r+0h@jeX?Y9$?^{JQig<t+Y7su3B
zebmj$uETt+a~Q*+BaaSI3TDbJVW4<V5=wC;9ZhkX&M2l?Io&8&>QC-fuF|hEZRwFr
zEaX94IZrf#U%Uu>_rfDSc`SJ>{`+D|{MzDL703E&()9I)&=$)+&Vd1k6YnqL&b=N7
zUa9d;@yEM0%%D}&l)VTVA{R*>nAzA&FR}0?F4qDH3H@_+Tc?9O<YB>LcfUk)II7Vr
z>3gbL;Hy;j3$)NqY9S_0+(4jgCr6DZ{30S)KtIf+B%i4d12+B$@*xP$#eglog)mBD
zMR1)-D}QsTdW`*O3E-%nIYn0snNcIOZLFLG;qy@?`7m9Y>j?K)+X|ALt60lcIR7$j
zD`KEB9Ax|kvK1haPp%7yh%VD&2TdwiO7A`jAGuSBdmlne9mEk4i>?P`+U0+~K?AM`
zLH5Gl{tm*DCk0!~CB*ud2$4_GyEu6M8@aAC*PRy49jmOuLSPN_ZCOs}OtNPJAPWmH
zFA#4a?uV4_PTv;L9Ae+Q(78jqNlp^!SstXG5>~u;y#CLE&jOtqzB>B)bUk6WgL=bd
zOX8%hgWAsks_3vId7vM90Sa9J0u$nvo8x$T#g)Et$Xs6DfIht}%^Bg|+EajA3>Q22
z1)PEqC~9Rg%O))k5j69%8`jXEX$@TJ^vSbw)nX0Ery}#Sa)~n_b781xwg*cL@Q>ys
z2kHRrF;g(~Zs9A*=Mxli-MB%NEa<R+fRb9o4_n&eXuSXE(}Adkb>~aH4l}W)6C_9N
zYCP<Mlpt<3=%41EZ4shS+v4ExXnfpUY<lbx2SdD3gW4cn|5oYC?|je5+n=94uQgJ5
zS%0`s-gLFb+Qzko5*)|*!G!|EVgX*XCC<@!Xio>UQ$)iQQUobUpG`8K{!bmv1mB+d
zB5DiMzhkSwQcyDOiK(q^2}3qD))Q@o8d^IVg}sD5z2F_9|4Tv&NY1#VK`Edx6~Meb
z5u29>TlS@O(eeSvnw~5GQ32rANIZisy$BeVUU#7i2!tV9I~J+FZ92M;aA^Y}!?JbZ
zoqMT!@GWi%K#Q}DY{>VIlK-``a_P*ev4X~rdFr%y=hOwL)_(ok*!R@brnZbnR8;pd
zsff`XjoZ%%;#-fCMBK^>3s;d@eh>e&=iF<4YbU1?qXdzM>@hOnsO||w>T2kkYUm8`
zJvaP`e1zVBK$zhKAJ8>JUv-3@M)3%q(q$qE`~`-8w{IhQJt)2KZ#?(|8aR4J^43wK
z{r&eO3%}?6(*Z@HVh5i2Hi83W;4k26n43Z48T<29Eehut2Bm?LbjZy?kJaMhDHI({
zi-99EnEMnInE;lmlv}X%3LD2@<gCT6nm?qWM2~&FWftQIB7z|TM38mY4&fr`Mk72)
z#MrFQEh_aas>wj<3v4uyFkqfvd6qjhIz=2NNe7_MyxIky50zFRVG3CWT|zQj#hzaf
z6Zs`zd6B>BAD_iux!xSlwHaMtSP@2KnIX8vqS~cADf(~V?4VWd3WLQ&4njSS2qkcB
z1D<P5XIXfFgv<;2t<RnEu_n3CCU#*ynIOjYfz1LCbO+CL^z+(1acFL*l2#V<et{mb
zFtAl_5RO*cU=2)A8abV)6QDY>9hX6|1j2`dr%ST0BE}4F5(^$ilbGNU5#4-!>E-z@
z9gtiDH6w`l=qY&_x23_{#VEIz=TD2sI699=zx))-WYms9?+k)^W+^2D@~oP|zCQDv
zZtG|~ZJ7oZg~IB1tg9vie?!PiQQ<xE#v~8ay%3pvkmfRS_w9(C?CH2!RDQdQg*2q!
zwA^SK`?yh-Zy8S?0!Gb$co+vI2~~l>9E(K>Px74yMzt8XSffJwRltjXh{{CSB=tGb
zBqeuORK*d^V4tP)nH7=qCE8NV{)F^#N2;Atv~)mVa=YKR6&U!TJ$1lNDe$vh5-%Ax
zOrSJzaA@@E^g``=8QdbDwGc$QNxo;2X~_p%y^r=>U4+`eckCtUSroE1d8F)tbd(mf
zm7uu-TGh6;wm-ggM%_Z}$AEtC^8M<mm2=PvZS8UfE8EETtgGi-ZuDIR*~)zJzrcvD
z+Vitgv~nGaarRIc#cUP+wnpB&Bpzf^A>4@9|BfjJ5zQaAe}HDPk5Fz7I^UMC^46S7
z3FMCNM$&P}VhqxZHc#RK>xHm#L9e6%mdi&VHH@HdHidzjH;_Rf1?f{(Me|+>dauN+
zJwmx_V`0I%6aD+?7M=oI$^m;OQ;1gjt-;~p$^-d1F!xJm3ggi>yRELeE;A81k9*k=
z>&D&0$HT>ips%lsdnW~cTjU`U-GY`U2z%WJ*flg}uN!iDs6^caxUDW^fKVa%r8AA_
z`Wzw53kJkf>NWqAlq7<B9@f0s)C*tZ!-o&UL|hCGB*nzldlZJaZ(+iZj1M6s!P5I7
zo8E5<tI_4JtU(qFURZ%(nF?`cdYn@xHSQU>-KC2&NiI%K4DJ$H{Hj;astQH=-Kb)e
z$>LA^MUXXM20o43t4L5>xw>;N0n&!3TMD3bM2dHonUX`pavZ_XzzGR>N8~O*^96p8
zdjZH16sWuWK3n{SUZg8G<inbL_PcbwArprj9$^r+T~#IQuQ}lt0=;%bQ33HGT`nZj
zJ8w^gX$>Nd-*mfv`I<;~pSK#L#iyirCK*949-hICi~+#?$PbVkDt#I26r`hLzAv5Z
zFtk-)TFTWpohn7IvR`T;LPI8D>&+;vm=jU+HD%>B>|Xk)P8H8$WL<cC2K?Igc6szS
zp73E!i8Ouf5kO}{w?LL=a{vIFKmvId`rYT`2u6VUORtfCeuTAvxEmmW8{ulLK_Mn`
z(K!}&6CCkQbO*qsR##ZZ*9I>qNynd`BNk|IN-{vqr29{O^NZuSq}g^)k#6!-LEh^G
z3hUF2CzE8{?LxxBfMf>%C!KzLmO2|L8r_qcOY%XbL7|Kv5LfVP)jP>z5mF#k`ivXo
zIkiWCssrbCMa6CY*N93eDi-lcj1M)Vxeze9>l|?Bw}=k=NiWaU5hw6-(&Vl=g8Kbd
zIuzgFocYY|FPNDKfi(v=_iqGtfEc+QTt6fH7(zIRA>AeduVx#~GzGed8|lEy$KC<Z
ziX(qMrNiiOyOu1#ATW~f#a4Tl8jrk%jSXlggW^Pz-KC;{nCMR=%>Fkm9HNZ95>!-G
zN6dr!c?v%|VnacKvAPOl6mwko`=@Am&Cyh~KS$Q3Ib<OLw{Cfb@b6lKwav|Rkgagw
z014x;(9lD0pu6uootU6?+9rXqfxJJ?P@R-0*L>^mPn?w}N-~hf6xk2|N_|W3Z>A(O
zVO=tDXppUtnj(n4#9}8No+oG6D)<zi29LFKQrQS7X&P4bEm$SEaxJk`{+^5<B@Ijs
zsaFX!6IdWx7OH5Tyfi2!Cz6+!Pxdggw~yrPal356-PAE>N0*S2qLbDKo)mXEtmAP@
zvIhe?uH6=H^x}OwEk96hrD-VkdOuEU_B}ZpkFa_|YO1bDF7maM$beN%;Hl$tCa3ST
zA9{xe0^{}Iy5pEp98v%0&!2%FR#kljp)G%17Wi``CnTdmkR5<S4i}Lq2#vFD*FZZf
z@E32fo4i9fYP3cGlb7fIEvBs5XF4;wsN|X<>pDvJ<d1Xbrp-kjW43K1Jp0PexX}>V
zP0irb5HSby^khize5_@JF3Aq04jg{2K)BP^t(TKTs$!&3HnOgJ!i2N?j`6hTQD8No
z$l-)5*AGBQ`$%W-fg}RBNMI+>!vssx0i%l2^UU(+yc@uPVF@n#L@m;nn9RnT;-}C`
zek(op@D*~~zEC9-I5)IEW!8>^uoGKwV<E{0xcy*89dP;j$6x6o$e_o=g9E4<{r&xk
z*0n)_h<+84y}}wq^wyEA912kc4vv7@M@Q8fzVq}TT>XDuYv1WJJs~wXL7F5^L#I~A
zVf_!06$Ym>bhoX>GR3uddMNxcQjIfB7@i^~{RT%u6uW--1?=-t7H25ZFxxmMC!<nm
zE=huWM&ow@e6<_!Mbv>02kaPtSJh~J1VBA9_J4W)@)gBLj~>aUoPsT~evC#RAxR~O
z`foyT0$k7E)vD>ok}xw35yyiRcLp&O9*(|HG63lZ*lqGeBr_>LkTw#!`TO(c`#6X}
zPEHLgTxn@f0t49;H#g5|jtQ52n<6gS`}g&M$iU5rE!nn~SG1lVr^Cynr1$IB+}WrI
zC?C%4gd-Uu;`6WvbVzHvIbb*gw;q)AHFrox)f1?m-%1BV;3GtsD<A&j5H2*xvx;cI
zK$~d@lAVvgQO+e&^dOocuyI~=wIR*4iga;!-2KJhzGW(Ma<%<40Ycg%KsUP4x4l5$
z>F>;JB>y%xCnry1`k!4B-}5Xpm<^<DxH$kNGpSJv(AgEwmf|hnDGkkTs)C8EjVTV`
z*PwJ@B7zdfiSppaXyq{P2_I>Q7qGDF!Iv4K_tJ>EJ9>MIk>J5hy&h)FTJmBzqdT5r
zh?lw_VWpKUGk%NO+RWZ7XrIA&d9k!6J+Z$gHG)oBplm_<)({yGU^U&YiX!W+Tm|Xs
zDabPe4<8dgOnE=;haTtX#6<q`!7H&N2yf8IMwAN@r?#{3y$CHeZ>!yfW*3t2*U#U!
zQ9mg}IWzR`*ASys?xTmAo10<oATG|4nUu^{4!NY~^Shd0<UQTE?TW1hM@^xMry_tp
zpgAvt-xD-16+zYE>oGX9fuD|WvmJ$c$Pus_GXF>T^HuufV51nP>cGggA~T9}QBU(J
zx&l0DU}6adKu$GDTX%1Ko$SCSS6{CrZDF+l`PYbGO-gvxcz7u`7^zEw3B*UR@kOKs
zDEG8R7YJu?oB^O%GD!_jKySTzciaLTcaav$)9lC6%%Hkh43`oPZI)3Z%WzFqUkKBX
zReVM2xjQDk%K2z!qZVtxaPN(5{quA36`coU(s32Y4-^)is!U!ueTY~!bltA%?(3^6
z0k=i$k13Md0!-s@EcHm;>odYwKYy8~)m!7g-&1D8?-fqA6_mcf>3E*Tbp~`EO|AY}
zb3jaNr3ibkvjSpl3`E}{0!pp__qxP)ov30aJR)$DF#4|&f!|O-1inl_a77X7vj4x@
z0Nw>%Izat$GTTs1e6zJ6irZ#j=YO9L`yBNKcxr;aLowNmpnQO=v<K!Pn~!|99~Bl}
zKve=lOxR%o8q^nSw9!LATArHfC7&1{$6m{B0psa<eR9N#aSzM~W`O-x1Hpg*q}zvv
zGV@-qJ43bPq>PJ7{KC@%S&;E9yd;v>l%dtPs8thoaQ2V>?%iy`I$Br;L0J6`OIiSf
zJo_&Wi(LDpdJa;|x4RJ9HBjM}66K46Fm4b%#)4j?KJpZibmYswXulQZFnAvr#>tPX
zYHhI><?1GX?vJOK4<b?nWu}=GFY0SK9M9nSDe(A6wp|TM#g!GFONR3Nn<9NP_pV>&
zu*ST972Ue>EY=}KCX*8vt6yKT4<`(4OI6VZNF;aG-TFKTXhgtCSW|->RnYwB4@h~v
zO=in|&#D!rR9nV(AI#@LI*bq;?%YyAXi```I0wIdRPd?O8kq#FcVOFo`;9#D83v%*
zAsu@}*UJ^mf}qEtJ5hP`3S5*CLvB0{x0TWkF=!+s_Lx~_yE{7w<@*nyOkvuf>Uv>C
z0B+F6Ygtor8)?7k9?$D)Xk11WsPiS>Cc)d!HJ6lU4LMdEkz^KDobf~ilwt-Jmrwus
z!hK@&M2aEu;>$ziL6zJCZJUpXlSlr#52DxwZs<y1Dl02t`Ur;&LX$$Q!@;uy=mzaW
z7ZM9P4S&L=2mXRE=_4D0<I5YR1UY`Ue8RmHwJY^rA_X6OmurE!nqN<eNeX;V@;ddw
zi$G2v#QgZ3Qf@btZr$BK?FA<)HN8)uVcf$zatOBKN03UbPS`Yh&G#ZABp}tsn0dIJ
zEe;f_a2SCc{@FyJS<s$_y4|76;^pnZpSWQ9o|Kf-%A?_X8w}$``kuz8m7F_C@)F?@
zjt3kckl=V-@;TnRbPj)ZSwn|Y(Rs;-EFllyIo`fT1Q>#lAH7Z(dj2Lg5K?`F<IrKx
z`vWoO1q<h8AMdfkj<x!&$9-GY)jwW=>`=x|EUZ-o(uV;eF+xz!1|>F_1zMr?ODf<r
z@fk>*l9WW6=hz36?=zdvS@;9(Z*kE}<tAweRN5Bl^k$1ch$;(&K5<`a!C1UmMXqNT
z?1&L<qq>@XB3Y_=v0JeM4-Yo;w(@fqp+u-Fs@rD(dLYm)!vn?sG+$=7zD_|=d$5!r
z^b27^9_H!2gmQfy^6R@dY@wqH6SQH{GbjtC)UO{`^k4tpgHOK_bmrwf)o})w_865T
z5<%&7MwzP|so2w19}hVeR^*G8p*{&CVYL=nd|z8{D|hCmb$QR@JzSp++oC7BruCgE
zAT_U1n3cB#v7z+mH?VG#mIOxT&jr=9l<zxHJ|GU_3C%SsO3J#Wy!;f`*$YYA1SRMt
z;&D-Pk@mIE6hwvI-AP=PfU`fsIJJ9tGT1mzi9S8iMUzZ;v_NlS^fMA#cMCkl*4<KY
zAJjL=#$CCyP|1*)4o!ic>9swm%p}38$YD*W1JF5iLhjqY7~{@B2z@|N?Apc}C^fQ!
zfGeGfJ+uK4xU!;U-Pr;C`f1PSs1mxyX&dratg@9kONR{Ef-=ncI;9P_z|vFI=l%ml
z0x+W&7r#!>r<#wZ^~*AYu|&MwQti|dcDFiT8sK@<lNT47>LGoF`1oCPrCGwJ>q`R4
zTX9`PigXbIdrF#`ltj>R?kPCWrwmz{Kbel&p;0N)&M3?|j~Xt>&+jTLsOhY~F*0-S
zVN#%$*~qj0o43g23U;b+4cWje`1d-pMSQJ_KDKJJ-?3!A>Qw&Z*W|X*#?FHt{PP;U
zYYHncfvvQCDLN`4e|&oi=1hf!r%?$I4gdiMfM!8-L2&vf5?X)yu_<DLGX{U5r?+$p
zyWU?OJg<|(?Tk4W=TDBizwE{L)T{Jai+sqk=6rr$@b*Uwo_(@?e-6*I3MW*PJ5)-b
zI9gdbrUb2=%5)~c2^ALNXZ(W8Lls`ZJrfu>lBbi?jB|G~?@cdI5^Li4l#h;dyy%Xu
z>^!Weos{2@zSP7H!Y{C;R8)}*D6s%P`{!S~P0e%;PD{8+N6s2YOvG|rnLb2`i-^cc
zW<O2_Okby%b4NH7UXVgs+e??&@p-)X*B@$n3^spI^PN9cn-H(meagX-QN(&^@Gw;6
zGybd7kY6SG%&dXIkR|!6<yu57D^BYGde#z>2+f?ohJI847wD<TPyV-|p%^*F^Dkd%
zd|n)5KI-=4^H{jC_sTF0b~b>IdN`O#@Ti3x0|VC}7PhTIz(I7Bf_{NLHFl#FIOBOi
zc6)Rg2(Hj^`O!7>7K$AQ?SF4Sp#Zihnwpy2arxJ)0jn%P1y;F<jb7hhAofm3=Yhs^
zqZu(WzP|tY5y^vV*RMBjwo{7s2}3P!6sKK@_P^J~#XO&P&>(R2Jxn?z(s+9=sn6f6
zOl%3btZUnRR?-nLL_R<r9$&J@ex_crfc?+U%Q}0t2dU7F&QwxF0~T*s6FgBByk<^c
zSDQRRBqNc#kY$EBG+hKaC8YzFpaC-|&_YPm7PWjk6xK8ix)VF%gL@Cu{#^NYHyT||
z-{Hud*8o;-<ni@`uUOF~PjIO7f=K{40K!SPfd~SFmA4Jx#Tn6;5)CSDZg>zr{MY(I
z>HTeDbpH2dC}Gs8|AfVx2z>u@he4H`E^sEUV?b=n#D0IiiF|hosba}p^W=tBR#u>Z
zj!;9cpKM--f^4X;@V^Vw3)gh;h19JB(fkF~3}<N%u~blW@`C>hdOZq_OXy<6SGm!4
z1zCN_Pr<-=)>ogMeBB0!n`GaF4GS_d<`De8>xQ0CvW@`NF#_!ceLJs{qrIwXwSTYj
zZ7|2jR{5)drw1F*pkGJ_06<YEfX;%nkV?$+&#(RrXx+ephtPJwuSQa`(y9^R$U{oY
zpZ6~tLHRa3gExYsrGgC%(UE0&8N9I&e{TTwRNn`0!zl6nD6nMm07|tgkNgL=Wf-VE
z$-jtgF{4nUAu5zJm#>Q*Mx`G51p?N(?{G2oc=1c}^j6B=BuoV*x96bT`y6p|nT_b*
zwWHt_*WG{7(gE1?2*mQ1hqfD6D<=RkNUDST-=8d(j-yUMt%JB9>|EaE<&Rf`SSgSx
zp9dm**Q^k1Rt7<-cIez6fQUQ~WN$qDJv4m)eDIreD~A7eC#u9dA0L|TDS=4q#b+6$
z;rz+4;{fQsx)<;@k%c^<3x1f9-{|BOegI7@N%j9ezGT!K%IH5Xy(6|OS`8nJ)a9f9
z&0<ifkV4uw|9yIsiuzFO?~5tG27&1j+F8tQwsm~@zc1GJ+%V}3!gjEJf@Jo{Psu5{
zwEwPb6h}q)ln-RHR;K^=w=dvcKo`pGX4k(zNBPDSSmDFcY~sTp_<Cptr(l?aA<oTi
zR_D#`Aun8Ub-jNYRkE|BxMlSBr+p2OMQYb1*a5Naz%t1Uu2h4A(S)C<1vPA#FX4kE
z7i97v`C3tdTx0<;tox?nH%eg71iMKllP>dT5`>!F-CbJ&PixHn{(fhtG;OO|yOt@{
zFI*RF%T2z(T{HhAIw>Py?$gDZO2$s30>_{JBC3p;&q5)T78W62@;f&qtZCkrar^xf
zQ8ka{Vz6t!%B=OU?N}+du&@v?wssh-#xhqdmnbij7jq{`FTG$)zuD6-cO?BTDM+SZ
zpnX%*5w<O$^3`Gabpn0k>e;JKOQR9Yy)8dBx_W`|18c7miYHWM6Y%$Pl_?TSMSZ>)
z3K@pJf2L!_Cae%WfViKJc*rn=6y4)zT`9%dOvmmSH|RuJhMLqEyWAK_Ltw6JG~K=X
zgpE|R@1n<=gu5=`_GAf0MWk4b&45l6K4V2o;5-dV?*qWp;Cb|04sBLkwB~FN3?z@r
zo8DyT;EsXBz1HNZDFAY)9@$RATimE&EPq32;O*@l)#z`PqfuCU^U;0G`@PyX82E2c
z1T(54i|MNb@{kg(;O`u3=?6JW9kLu8hMt~Q`T|on8&K6Uy!JFtcEBU~iKpSU4@$X~
zrp>}HFwk|E8r#T|i3}taBSpT&(IDg@@FiMJNYcj`@x4(EEe!=8-;(YH+CZr*7L)Ot
z{$d_lNACmz_>UWmiEq-e@xZHmsqt};+v@y~(b{G7JFa}hfjLTNuJ@DnuMZt(U*2;v
zt^Q1T!W0~wMSu@WLcR#;{JrzXew60XhBIT*E7f@0gMl>v(pe}SQVF=K<X$rdI8=R0
z1>Lf=*ZI!bxB)G|<s>8JbT|jfu8b8Db4KAb;3$^8nro<&1a673JFlIl|uo+BV*x
z-p-#&oE^_XZ%fL9`tPN4@wUn)-qJp6(bcN`Jhv%cTR)zkxMo;TT&$~B_W^~vfs&TI
zr>t;Y%;)hyhu8C@EV8S-*^9)-Gf7#?EttKX9j?mm0%WiGCZj&E!}HPPBu8wwxMIc&
zva5*1>td*hiwrR5l#bQdjLF-_9=1dHVe1m&gC1S%lhcvR^rCAj@g?VlZvrC0Gv0sN
z<Ms6Vb#n5zJfQ$yyJKHIl|z6ZaCDrKLeto|`Op`+CE>HkelpGvzgkyhp+2m(5UPAh
zIw_(<q)wa~hJla`g!~1`d(b)El26Ez{`uMnPZFNo{!u^dO5iX)nC@_fbOQQTa9q}W
z7;w@?qhB`P@Ro%4E)l-bbQ)!eBR>GD9^mGj&a|`D7g(Kj7RHm@@ggo+RYl8Sj}mJX
zpB4YOE;#+nDV)aXaKRrKgV3|5aQu*?Zqy6ATVACz!RZAGZ<SUaDcMZHfSo&U-@-|n
zHGG-~By;*OtT6!gQ;gQ*BoFVn`e1CS7P&XRGswNE7=+SB@q-w)F)+>rou8#;a`Gf$
zjRN72B_&0Ugpzy6r|4l|FbD(UP>&U<M2w$*HtwQ5pU<ED$gI@udSH*vv<hIasKgEi
zk1L#EbAY?E`DvP}EiY8rx5dMJm@=}cM(x}~EhxmxTk(g<75>`yJ4~Qp;k*T@d%wWC
zO5H$)IJzQYk`$|nEHi6qEBF%><@tYqVqUQnMumT|_{Y$@<^OljmGon;E`UgakVw}!
ztX?8AP)8&QDX8`K?t;^fFLjpplcW#bK^_E#lJCvNjbqQi?@BKGd({PhiKVZ$ie`lU
z42p_FgK0nDOWXHHHlZaGtY*}xKA6(v<uRbU8hKh|(?g9%L(jjw*ErpXp2z+XVbW>%
zDB;j_CRkLrL^<H$NSo7+px@h)bL8grRIeY3gE5u9W&E{Wcu$ltDUz40hydmrFrU#y
znz6ih?4tt*)AZ?r{Ux9(0rg&|=g40c1|VsRu+j}eavB<TP{8Vi+K@*cMr)uuoxhA6
zd8157v?+NB`LiBp^$;3)ndLc4ga4hBr}fUj!{vj13gDlVWaI~cM0!Nxg8Z2pEB5A?
zz$^<G5lXpi<+i=hVgaFJfesQ*_ygaHd&slHR|J3C6cIro?MS((yj1d=KkWNf$kMgg
zVIF(~+eaz5Fa_YKyUT7V{9If}=oel4Gmt{FQyyqiE_fW)uMYOkDS{5h`4-4yAJs=5
z`@0?Bm}1;gC`dE{xpx0vl(T!?YMRB(&yT5H8@`I<3ng2~-nhFAY=>Abe+qNk*LJxF
zK{;CNHqO}dT=*LD9LrPY1SILz=kPHMBc#|6)WkxIece!BupvFAPGQxY2+|ky<!xr)
zhVbkTE|Gz6O{95k*U$??fjljod<{i0xU_(N2RnO_aEG<MzjK?_Ma!DnWbm>kb>snm
zbqAb*xF~-@a$K-NSzPz-taZFwtiIo&_lZi3OA(xTf`W^+MZ)%uX<Qx~^&q<~lUZ4U
zeTZlOy&k?En()hnuZ^?)X|4u`bNTzVeCKxQK6cEhtNY7PH(<j&zylfX_lOMrk)YZz
z#>@^iX~o|iVREw4lAqxUP$ksJ<7j#XONlleC%sh8TEEo8N2t}Ux~htw#Jv385h++0
z*@satmRKmRuXH*m(5G(DrSOZ{^Rz%!*rMeQZ!&6+T`sibhOksOUF!?20MCa@3v0?>
z0!*IKBO4PC1{Ss#2LQ!`3)1}bSERECATutcXyTV2C@b*YApQ3D)O}a0B2kwWDKRj)
z8@TO81@C-!0K1t^!zqz<enPYlAeG+y{QNHFQ&Ev;>>gIyR3>!I!xXcr>8|W<DUhhw
zKKJwe;H{_Fo)kpG|6KMVM4q+~^4&E#(`O#S>s@9Cx9bZ@CErVU)3N(6Z<)_q&Tk)@
zfdtaIbHgV$XwMKamu&{Q<k8dpu5aH&s#(1|Kd6u$8wRlqzR+ex6C+K3|3Kze@~1qq
z7y5z%AAN!GFnC#>yd-&`81Tx<T!eO7KQxd>9;Qq1dera*B+^u7fa4|81bWfIbaBn@
z#a|PPFMlkN6aDCNUf%{sE(@=QvaT|(lc@lqsciz1Pc$*!NA`-<BN_EVl_0LaN!yPl
zTR-cci?Hnc<_ISrp1);#Hm_kP&%uklt7v(wLjUo3BzzPQ4<ol+dD9OvHnzuI-Im2s
zU2Iyq`7mk&LZQH+#1Pq~x-drnj<>m{=-!Gn#1|oUB^KG?C6BRR=PFZhI+M&Gp^?R6
zzqM1IV^9v-<im2U7)%isw_s#>!~Rj&l?WjoDxOeyQ-~8^2N1_UK@23HXv`?~Dy|@#
z$?_41ny^G|J*|+uxB2a?u97Q`&T=RdtbKI&fD_1gf>u_1)?$_tauPjn>-PdFNn_)7
zyQG7-P-s02_xC?PT7~P<8^EqrXQ1&Ko0u@$xI2q+q_2fEmb~2_ccm=|lA@pbgwh29
z2@Dh>A2QEFTeDPcJM8)$5rsGjPL&^DE-5ZT&|F^^-@{@mD6vOGWd<NZ1_tKb=9F`C
zD(52Cu9$q=vU{YO%kcxuAh-BTu6RH%k~HLS^oMo+LR9(`6M3TI&VCC=(obkdk`FAx
zjp`9&uZ(YKU;yw@Vq!G;DwrNTq6eoa3`HWOK*PwUchZTr6{K|d?aTY}%tLm&=ajOj
zyNn8qCxB>DSZGBY3~%ErN`PG_2#`aH9_SrN=ujBh0jcY}hGmr&9(h{HQHP3$!c$c>
zy{(`74d`EBE6_v~_GP>e6v6CACArmlf{$oXf~P)Dw)89Vh3aK&#;rqKFHs#Lt19-K
z6v6y4LQ=FuoOL9I#iFP6KV~uE7pv4r6bgr7SG*Cj1W*WCDIp6@Qt>Iy*!3Py#uA)p
zpw<>Sj=X6x630<$(%=lp?P~jFqc4B_lhPl&xu}o6J#I`SFgVmyN9NQk*G5|j;O`kg
zjMC}5Svz+}*fXB{QA(T(M7j4{`t@vK`XhjxCn&!2$Z~1w0`ov<{4-MU%0pVytHwkK
zHW~t=@E#~WqzZw**uoNVB<V9--+<E(%JRa$LkE#$-v5v>oCNY9U>`R<;)NOiu&6Dw
zC=iBm1DkP{DRJblaSl(NLrx$j5^!=8?W62^d-3&Y>JO`{tB~v@KJks_MhuHU3P1q!
zN*`eIfN(P*b{+5|#HxP+^~eU;x$$xaXW={hZ;Qs-0pg2C9uz#FsSmk$4(;Ol8?6Wl
z+bVa@TBgisB~Zq<GG(aHu=4brEMs%|`Afpk+f)FIdv|v9QEoe0BOsy+nOw#|ma=0z
zNhCWl7~8fP5PAH8&#+{ye~E+g-6>;Zjp~e+VF1jHlw!1fji>w6?xA$rnO^5vtzY_S
z2OVYV>0@B$xA&Jnho-}>y}jK$Ko=LUc);mW-_3_tA0&%9yQbLDwl+1P3^3+W%y2UJ
z@QbltZ6sTXloRx5{?K9k`$$>DVWIn>4=GZ%Uc^RUZ7{`bZEgMK7!(+lF3X&0B2+oA
z+L_@X!L8~~dadgxSoHX#IQ(q2<G8ZSG-PF9ZeB#~O}ivyR_Dx@Ba2t}__Kq;wPRqK
z@$-*Bn29u5wazk&?K0|g8i{+?=93t__Gi4KY(Vlu=d&`jj~#q)2{-bEn(AQ1-N=*q
zL`7K!Ik_H6suV712<EH2&JkRcl|7D}=9S<QP^{2kpc~+UJl8Bmo4z;?BnRZP2bSY!
z*)!Ql@Z`QkTX0-6Hc?_M9EUBle;0-0%?n_DwRRHOZywZ7{V3=oGnFoc{D9~DZ~gIb
zM0JKfj`O1-)^JTzluF3WyLVeEMnj6(^`XJ0Ed87$y&t$jgMI=OV)1nGGW0b}1A~Xn
z5@2U_T3(?92t^Wsz8lri7@Zy2v^NDR`2zUXylh=`be$BJOJs{)8`<YZH`F|U&s)((
zcG*{YW}{r?$X1ct<<-d!G#5<$6E6LxaIyIGu1z}OLR_HbMDH_h!?9os`uFb6$@RBH
z+t>loZL;!nV}lb@Uy~OY$Sbq%6iiRcaO%*!elk3;FdfNJ%jNE@zlMJYes<EPJ!9w9
zdAM{CY|1Dar%XqiS@kDx7JV>4+f|0Gb-idCh>5t`?u`3gv86HrvQJIk(!hGM(Wk~6
zWkG<#T^o4b@NmS5&cGm^%ei<sm0;*EymJ#{(*z_lYN-zVd2=9V6&We*vdGZ!)4FEr
z5vR88+~i+34OccpXc#Pf=?6Vyrw~@&;Te~tT=Q1&W)<4IlEg~!dN=$2Bzq)@EIZdC
zvvrIE4M70qM^bom4Qwb(cn>O{Nf!c47d>|XYIkvo!mYb7$6DG>zKxkB#;mP(FZ(`h
z+fc6NxUpKT{-C#3{EcNo@p5_hTTCuZN80_t!wlpVQHyZI%kg<_i87F10&yZn?V*JE
zZ@K(3%<-D&y!d0s8}V{QCLQ<SQ`LwMznw+-GIF(l`oWpZ%o4U}#&PY{d{W10EtQzv
zKpKLsQn`=f)O6fHy--jHpA!J0B!|aV)<p||f`OSDj8w=4DSm4;l1M0_6<LDwF42Ie
z+4H+I^XsQ1B?l)amfdt}v}n5ISmhXs-q=dJA1yusHHYj0P3;@-Kxwe?yhk>B;B?#U
zFUNZ_%sZdQp1U$%t!n-LO-~mwItLNx6-Pk~G;KGhes>iX7=L1nTvk`_A)jdU@c|PL
zbaWmDt!uewrU5-%Hd2d&UXM5FOdyB=SL*HaQ6*oR`Pu-a^?-SzzcRM81UJ1)iflHu
zJ7D)_Vj`OvX*CfxSN^v_-QiVIy0RmkLCSslb3&g0n}<&(_19BOd!&Xl)8xWDL)T1Z
zbg=e{Lcs8K0+8(Cj)#Vy7$rh~J%wW#Ka~Wnq1|0)L`_MN<d7WJdnHmAq6*~Go(MQC
z4Q}3f(Ej#Duar#lH=^%bleVLMV8Z}V(nZH{PKp)9N0OnXVPOOll^tatp0%FcBQ}(5
zegC9DWG}CFDprb~;-j;?0EV2wnzmQac^wX-QEZ2#<Qx<p1_lO><0KlAruv-%L|pnN
z<_{Lo6XWH;x{@EzarOgH0vOw?89TZ^)(`&4A}yWLLyo`K3T<HDci0l)-(@y04rD*d
zmQA4{4skAw(sFt2XVBxGqRK>~Qq$q#b*JWuX*-WRGXs&C1}A9<=$bxI<XfVI$B7y(
zMZ)GTRo|8$VP0O569Z&T^Y-y?S;`$$D(^6EkE$7uuczuB(OSWHh6GQVnY!agQnBX^
zb&v!rHU?L*F8N+v;;u3<*hNk)D9PnD7u1k*&UY0_S@ep*PT1I(F||)P>^?jtu&|NI
z1o$<}x*m)IFJx{WZ$w(Ox;FGBaJH*VIe?Eh^zzznwNSq59~)cT`zzY_6zx>_C<01E
zUS6Ywh1qtnR{}2$vd6rTGVi1&>XVO#At(0vu_K$O@Tq~&>#&>kvzmZ|&Hi;@lr4G8
zIk`K4p8CzRejw@69;=<q9wg128GSp{-=sGQs`+bOZ<V;{M>3<eMkjlKz170$DR!Oc
z+N%gDdf=w0I<!DvL`cZ|x@dvywQZ`H&$KE^gM#fWF{&Uwur{3L+PB3WFUKB7EHS7_
z@&HtBbCvOgk@J5A7m1j4sf4pXJEI;wp7*;#_?*3y1Ym$QIbp`Xm5eX7sP!!VGKnh0
z@O)$wWfavO(R@1veho0%RjXV&P%87DNg}D|lMPKxs<`^v@nvojm%5l9oV0c@&0{rD
zWS(zr_4C@cO|+;I-jzsW9udp9mN^Z*LQc?@(?p-_{-_0Pc8-xc1Y|uSJAdhLH={n#
ziB$6O@oDioF9P<i*<ue)8ScQvY9b*_Zx7r-VvR1eVfIOrd)nVVIra1D<7Xy3tKH_O
z0B%rQ<e<LriPUrPy-OQc5Uhp@kfRu_TbBJo79OIy>Y1zMES*TEUp&iLepi6p_|vuI
zPW(3r5f&IepYSjGzc5n2*C#KuJL}A76la+HGuSKv0MP&w+^8ER0QqDBh3*S&w+@r-
z^$Gm9ADTFHC-(DL!L5e;B@1bTa->jYd4OF210dmy48y9&3dr&$LYA*{Bb1*|bn7ln
z%D$ka8KCY^H!=s+j!LU=W0TAXHQXV32A8f$W&-DjO1bA0%pk!UGDmZxSw6a7B<6Eq
zP5JqOj!qDhqN&@*QL}ImX*kx6N(9k_9k(5PP&0P<Y5K*1QY(skR`AZvM_tLub!<(l
zELTCectAu~xIg{5V^;OUI*nv@(h#6muJ4T``ZQWT&yBPQrQfm?dP>DYx(7hY19@V&
z;CB_+3l^WKyk=P5z2NZvm*ls~)uH#pF#k8Nkm2Ev?UX5!ExHr=bLj2%zeskQD$R-N
zkqq<xx)0i}Sf!xW=vs7ZP#~b$KFF?JBhz>y137ph;mq=L-Kg{*X!$^YvAWJN1>5aW
zBxx{Iy7<~?L0Cv;2L%YeK6Xvc@l1EVZ&4({PpJg8^(>LP0CNZd51W_zHaspW^>J}=
z;Upj2StP6SHwirpVuXN`#OtiNU_z$d_24XCTp(4=M%OY!#l<Y>^jTT4TD{cOrJWY|
zNG#n>da%N{)5x6l3;(1DX-7yg--+)IvK#|N6wBv<fp!YvT#-e~fJi8^AGr_D!}K=9
zbKma@BTmc=#MYvDx0^)*q_p>MR55@m3mfSNs|m!{s1KvLzs*Z4iItt(xxWCCSRf<S
zX27~00u-QhCM{)=$Ploi8;Yu<XBNcBT9^G61r<ag9xbuM3Ez^w26Oud)D${zr9WCE
z9Z4CCg_|!0T;!w!^Os7ii&>5I4UM0lwiw3Wc@7yDB=>r<NQt!K9U=8z+=?dkcJ)I8
zv&kJccJl;M8-pQeNahC}{g)jVly<N8X|F4g!Ev;=I#KnBn%po#%I`5*H7`e~05SWX
zxm@)tPU^lJ%%@(JxwebNJ@yfLMvfned11-}_Kc#%OGG2QIzka2({mUe?Bv4u(tFIt
z+ytb0#HlGd)qz%Zr%&TgO|rIFNw@jMPPD;cTRhT~DH(I_W@`pN$df<eCkTN8Y+1Nl
zILQrxP(1Vni)5JssyIm0HBQ64_t3>>&jrLBo(7*qjp~e#k2`8(bkG%B^bPJA(UBhL
zp@e0H06y!xLv~3Z;L$?tknte}qafT&bL;Eefl|hYwTrh*AVnwbrMJm}&6mTPSDmGi
ztiqbzBg6Zy`kZ>$vS132MG>M~c!enHh48{ycOwWGJk2G!PLZ;4_IJV>Cu5*xy9v)x
z^x6PH%E-`A#ow&2k1`b7$z5bt+8U3}%GGvrT{DE@J57=8!z175-wdo2aG!b(t8a<^
z03>f68MZC`od%FS=-TB+1FNL4stQIo+d!*z-)KIc>N*<)<TE>`Qz*;(Nn0>nmSqlq
zyilVVp%vHq*75B&^z<PW2E_Zla8Nnu$XXC(VDjV;dl8|0DXxljILT^a%(4=0t|rbR
z!Fi?$hxQ>TLOhP~TfByD_X-}cR&(Q!(qfLbN>>tDd732Q^F{Y0$6!7ZTxp`YW&aOb
z-yM$i8@~N95=F>*M2X7YWF;#jLiXN!%kHsD$=58|JE9OmR%T?cA{1F!*?X_|di47p
z$9o*_+dqB(==(g+=l<OHbzj$co!5EBToq2z3>ep?6RXe9x4+#wzby2*5IlWZW^@D=
z7kJc;qeJeyR^<HLJf1fJhvQz$_fbu5ll+Qn1|rg~Gs2kr;-ibFVqjFW8D^Lm_|M<~
z8h-*qd!J#jK<n?(QfV({C|9lHA&?XQwX%hw2{kgdQx5v>L%`A51aG|>TT1}b$p9R+
zv0=X44zxI*G)PWtK}9B2+4*ny`u;xJ%m6j_)~w|jDP3pEpoiac<e@Z(YoiFSB_}c6
zc#Cfst)V0Q<!-tm<y(CEN<*_8-fv`K(hP=%hFtoWF+E(M)yxc!bk3BVUHCy?K=db!
zSa@}5$=$FbeYTai)WW4*==Ib4Tkr0zKlU}f0Dd$8I1;?B)_lV`dNFY1`H8#Dx()_1
za>%(#HgQJ%ajq>pnHz@zKQ<t)_T0JKTRj;}gV8D;)ZbYhKb;67P765M$FPAhMvM=*
zYTeB{VJG`*Xf8vG0VAI*hyTWQShkk}<S#cxzx+5rJ3qLebHDIcIma`dH<x=iJ7!8U
z7sLWOygac2XsTvj>iy}XZ%<rgG?#UDUhP~7t-u5srQz}0D09djA@<Ow!9-o!oJ$WV
zOM}_y27$7*^*c-5)^~HLX3<;s!%0bB7n)HeX!mcI!wSfZ1F+j*RAG*NwDA8W4q?<K
zfoh0}FFPd>C~MH0g7%VN;t)Rv?Ip-mSr$i<xqPgI%u_<NF0FB;;T82~KH~gwJy$a7
z=4+{3%X{?3eu-Xe_1UA$U>IH_hme9=WMLsE%exj{wDP$>c`;ArE5xt%ZI_>%_#dTU
zGT07I!Zl!aITUEAYi<L@QO9*2Gg1iNbr{bQ4i-YhL_1o|s`MA+K=jgn>HF|vyuC#(
z|L5-M$=h;YsI#um4b@L!`RkeSs*H5WI<<`=@AKspB3&=QOGxo?&5B_LMZ@?JxMf0J
z!1%h_`2|20fmbc4@b<vagH-k5!``auB}kJlfB&8(M^m>3bYzSoB2`^VQqu6pD{ynO
zvdkPEfxW_qbWk}5?Oh0~?CPX;5(mTCZ>P{Ngc*}Lf0a9;@Lu0q(fyNx(^aW$c@z5C
zooRUB9oYCvEp6oWtDBSW?E-mbKXcCcK7YoN%^s_O@m^{Y1_@sfoSq?D+GPjFOCUN+
zZ@2HDJTUq9CC|y~I0H^OX(H{v0~NYGpqypAmqmB{7w7=v!Gn0n$1E^NhDqH5Eh=Sq
zDydJ@PTv`Z#yK>NYro$Rw>8Zcfoud^QUgTzlTu&HRvWl~7TUB6O<jHX0ubH~Voh==
z-*|P^YC=_l9u&I1yZOvocMxb%#&r3RGXv~gTk9u3E4nLmaN_>AE0GVd94HMJ_i~q9
z*?ObkXashDx`^XjpmifNxD|h(bs8#CL#lh62x9*SJ@y|NQ)EhqJfvySZ~v-w*xCAv
z2^O)EYi*<r)7#SX@l8Gmw^F8CQUeCs_uo2<Hz?{g+@qrjlF?-c`<q`T`V{>OVV>SO
zDJxNwl+13T*{VG?T089l-q)`VGA|p+l`cfdm)2`_&TT^D?c!-}#o0{Rw7aD1J(T0q
z+?45cgNQphG4Gy}a2*O`S}+Z9BhTpv=Qc?}xOUDcZxs~Z?3%Xx!8U0WWV<dJ!-&%H
zAt<5+#}XhPo1h~$QvUq%nlG2Ki<!pe<1a)l<XjAfR#e$_e*<|YA6?#-f0&oIbIUih
zks1cJ?hkC2ALu&equs&Id||<Csq61niW$}0%vU!V*?T>rv3OQ(3SY%=rJ-A%@rk^)
zZiLRPX)DH6@Kyi0hZlW@f7Px4OfL2Yx21$nx*u#JTay7VY7nTX#XiD#V*sgy-3dee
z1S0p4`)ja0;ZlBUoH?em`lt}5QKn%MOLuQ$ZL$fI&R?9Jn``B@<oZ@ssj46!P9@#&
zzAHG$(nX-*LAF3^tzEIh5PL`5X3FM?dkD|q*ccFK37bHQ$6ilsbZqPzKJL>m^8m}I
zvpysTLl<3j7hhXFeqm$R?(JIxdgTV3z}dck(@a;Z${<dWY`8CVAv@E@?lHUieMUFf
zBWFFk2*)BM;Lq3pZt1rQ_wf2qaXCMJoDia%Dq^WS7(E#S^hL7oFpM{(&4@HWYbX*N
z-0ipe_$C+7KX0r=cf6HTyKk0vyR&xKS2IpVf{9}~>~D(foI+QDYtM_|;46i$-nuaJ
zU0-jEubOTSp9#*k+GJt<hf=yyQQ?+WBg3JP7pdivyi)P|@%IK!E?yhU4-CYDI9QJ?
zawh<@VqXn}KaCfaIP3PzFalb~`@I2m(|s_~Ovd27Y;QagZ3i`HWNFZt!@M(*rl!0C
z<6Zfb5R`m#zDrSDQC~P!(c`@9G6RHfP=(()KdrURH$r_oq)ssR`wTIMI-57gB0~Hk
ziDDL&wlXx`;&^Nmr~clW+7?^P#h}F|WDZ5h_~kb$n5j`|cVO89gOi$iAJiA_OACT%
z=%5Ciar4}~4u~R#eNHIZn;Eb4)!S~FMZ2uTg=tnWKb`({bLLN?O4_wsIdKZNh77&a
zXF2$Y>&0$ooKywn<sHwHyv|&|`d03zeJxAc9Pkif_A_0~&)do>r|v(@u&hIhA!_2k
zzhvoqxN}Fq=soJP7E`Cw_<sm!1Lv@zQ@ris9L>4=p?Mh?ho8r!2_m%-<R2H{+RIRP
zl>E-=uj<z`Lea|-KU+u5yFyZ4+*iE$>Uya5@wiO#;P7wjZ})6&^($L>BODev&#y^x
z-Qd$*{Txu1r*ktJR~`|5NSa6;RGn^wi;r#c6jw5kT`SdDlY%+~OXp_PA+<)MMi)uH
z;*&UvanQbuSGLys8S<FxRhp%4YJ;`+y-qa{Kx#akys^*6U4`8c^^n|-2&u3QKIO=^
z1q2I}$Y7qW+p4|{7fTxGo#J4DHB#YxI&|uHTz|5<2yhOD%Duffv|A+t8k^5v=KJg4
zUQ1u=grVo|@gt>^@x|>c2*zS`%FK23%x__I{CKpvJ>YmK;Ed~bx<-7u7KKT6H@HsK
zz+rZ@FlGZrUdO?puztUkOsZ{F5{7k)hDN{OriyG3|F<YJBo)i=C-&eiDRGs-o7r31
zsNm(plWk>>aGZ(SXIcBrRR*>X7^*isT9C)(e{uam_#5dg32kOrlw(L_&G$z4r{zA&
z4h!-u*2?!gzA<_+`v*okP2k>FUkg8`HQ_l)5?|5ZCqDDr-c6GqM~v;7`aL6fPF$1L
z9SDw@mHLB%a5`)-s)E-ViOCusu(VFCE6HuVJSl-dSbvI{87ewGD8l$kpnZL7z#k4X
z)&N5Zr!lAI;H20V50czvdPF9!KNhnlGe4q`ewNpZJ<7Rixk8cPQ~2wbu7Lc9r(EGg
z1M`Xx5YwdDA@L}Z%mF+4ohZC}mP0Bja|?X2)bk0s32yIn*k{jsd3p{mZWl4}<)}Fx
z0EsgxKcQWdX$|Vml|k**G1~&;djDDj&g!5tfeXWhJSJSNJn?S^MLJ91Vp=^8{|L8b
z)_2u_?2D3P_6U|lWe4+>`MvrmxwJXId0c83d42Y~1s)XWgaQ8If`7|lo&<B(2cR?N
z;Dw8405xOCgD8tD8yCik+6c3N@~T;sPW-|;Jhf+>Tam(m_&;h^6`na6(07?ZL*Fm@
z=6UYLo%0PGNXvBe;-|k?eow1)01Lbd002FX&XP1SKRaD#nC__%?+&OT+mnhZuc&ao
z!ga6=5}zQz#^0s!CUy6mG{Svhc&j>ywBfx5>wev-ADt_2BJH-+r$zME36^<BApsh;
zFf4=6sbAbY2w>5Ve~0HFlfvI$L79UVm|j7oY!(<?8x;x9rEL1w)3v&g;0BvQ0jkU`
zywHmhR1u={rz{I;J^#cj3Ox~CTw8m0eD|s~IV8TpTBoURJV?LsM10_4;5>NIo5>71
z{=MdVGp^LQs&ST5_^mE5a_7v{BmEUxPRm@HrWcC@awVNu^81#fI%n3sh$rGZZ<#9^
z9!wcYOfVZr8x#%Imz86~zG_=V&aJ`UbzL_63%iGMwIm4=Em&$f@sD^9ZN*mIMIxsh
zoSkt}>aK+Idwu%&geQlOQ#(})a6DYeM^VI0C}`o#xWdd`K#R5<(IurHf%v)?5NdO#
z-cz6br2r5s72W^6Su^fnl6dpKn9I*2k{QQrn<!X7&wTvkOQEU){l_Tl3u#l>NN(&^
zKu$MEm;;&MuXD4TXb?zR;3_kO6n2c{QtW-I`m`>T&-T)<Qt<Xl%CSuYKbhrTB!g@(
z91R(tz5OEn@JFS0>IELU?cPZr{s<|l7u-f*I_=ZzeyaNLU&iMoA077Csda377nD&-
z!2rB->4S93#6i7rq3gl)+}Y#|{^MGnQuq?x0y|qTeA(#)2@lTW!H;r1{d*V-Yen^U
z+k4diZE8+kie&e*l6(X<_IDf5dIuo@XoiCs)CdoQUfc|Ntm&MGDtS9q@A2ci#$9ur
z<S1mC?V@h(^>b7Txy+&PvaGpcb08ATgZQRUqcAuiNRo&epwcaWf!I=nEZ8U+C4LXp
zjhp$rQbuteuMKs$67hGF5>K)48?)~gJufxitZ+{-t`FwK_};oO0V)^2VXw<aXMEhw
zIk0w&t3Ku%O058GD3fs5u8tSV`}qe#Y%4?JSX{}f_Qh^XaQ)$*T(>K}-%rEXVq9WW
zR6V*9)-TNaq!Fuynw3#oZ;?4vB(>+Bq8#L?MaH1(VS$HlU|Uea+`h%imYq9?-e>kf
zOjxmg>?<B}LHiIyzr1T@rTh8)#^GtG;%kGvYsUy?N59ZM_do~I;Y_s0JOS<vzbwY!
z6^&1hIU7|4qIh)z?#I}!IDzAg%5`2+_$)JK9El%a8GDPi-1g$9(p%&vOzxg#;(Qtc
zy*n=DxnXwJeBZhk#0~7nu0nrATxqSL^72nNP}pA>$ftVe=D63v`k(ugUmt98t6Zt_
z$xT?EaTDUGP|trL+cV}bGGg)Y^`(_jt)Ro=HX&5O2~TrUg68|mZ=dnqV-R|JV(axy
zJ2<M*N-<EODm+0seOaplVw)$NF<9s;XGg{Vaj>aPf%-^!NmO4awS}^2amOE_lPwuA
z2uRAYsqDxz5Q_}AuV~k<{pCQ3`{h_U96Wn5KYc4!^BiIcv$80yViUXe4+A2_5#L-1
z>9dqOK_R{(7rSz8wmbP0MxvZp-~HE!XF_<pGc(@$V!`+YdT8K{Uh{Ew?&T&7G_9x)
zTsksgTDx2HxuU{4X_hG<2^N*!OBzcQqU1=2xpq!zL^>}A*4EIp)wu2(mHQQ59(i51
zZCkNpcDd%(aRe!Ij>}^7giTK3YMxV5Q6vch2GWpXn*BMhZ3|nDT^D<4CH1+RA)Pxm
zA)jKZFZw~+aB8`6ffmGnCu5{uhrN+o+KE+A!UV8#muM?$vf-1NWq$c+3=teHd3e>q
z(Q#mL+tY`#b<XipXmjQqdc0OT9e(8g)hr|pj*=r3WFrFoq_6Gy3(xzDCVOF@_9TBc
zZo)|M$t}yZDPNfEQ&hvt5RL*>C<?1DWDRcV_*}hA>Hl@pEVXqx1zg766~0PD`ue6M
zV_?90l$_Q5cg@qoe1i-`$zmhFemPZ)7!OkdE!gYuRXGiMD=h~yX6dgWKNgsTW!;px
ze}o2=!}Cj{Pb_uO^&r;;ub1X*Q|@Cgd)|?cUNOnca7BmHKAbfuP%Is`arpVg-v;em
zZpu&R?4@yf8+nA=jUZObk>v`aiBPQ1cTXOv|F|F^XwpwL_d6?@GbA`HxRWGIX3VaP
zwpG5LpYR^btvTQW^m?9$@C$6wbBJ!7jOr&H>o!Gx10;@H8ms7lelCSaR&x;(n2DcY
zKZc)WoB>QNM@Os_k3+IAvu%Veh{lCL@nwyj-QD``wk`XOAIL;-dB^MJdNUErKr|ED
z@qk?)TcTL!XiH{;!|6%xQ=;TG#q89E`tf<2aGrjCYCDN@4o!Jjt>HX!_%6P_qUpU@
z86#1cI2vc^2=YS=<4>>}puG6NTk~U*m|D)suJp%McC28qGwrF`f}e)JZ}l%oTY{n=
z+ys>8RmtfYAkykX5G)vEVyp$L<7Ts0UeOpyVfKT%fGC<_FmqPw&ysw*Boeyou@@r6
zfu_9nDJ<Pdk{E&eBg0U1;e|rwP@`>*S)o?2>i!aIL+htOXtEXS+?2;g${pi7XY9(7
z>U|)?N(f<B8{A%THz<&_E;sZ)KG^PcZfPKNth5=DSd4Gdnc(d#!3>uqwa*1y3}#i=
zvnMhzSm|{R#6_m#1Y|129r<(4UNwEa-@jLGmNvJ%x_ZMb&N7^*iCc^`lr0;?zvAO9
zjA@r}{oklOhB-Dr4|eEuyU^l<e?G>#K$A!iXmBfVBg4>l>+g3URPG+CDYPUkeuh=j
ztFM)MqXMIsA#y==<@tI-2%!o=)t~uHvOSnFG5-ALC3qMO6}`S$b+9rCT=I?S{~SlU
ztv2Ter)Pd)BQcsH>4q=b2J~+B2YJ47J25W8v#IPWG*&FfVYaIhTZq6KL#I^~^Z0{B
zH179K7v^FFd2A~$73it+)I_%U2k*9f-?C>DH+y_1cnnVA@3MEss0Ew)nnhsDp6H1q
z>Vh%X1*!Rx0N;R7z5ns4*I@&prS>a*Bz%6$2E}t#o`sm0SWq_H>tk&#loF1_TKTbq
z)bN50*#!XZE*d&y4&9-NXem2!ymRM{-Xcz*Q@~9m&_#j>Ilug8aBwjGlCrjfNA>93
zYEIIf1K*c4+_Bdpq;gvH7Mq&x_4B8Tq8op%!*$ckKu*c<s0$g8to~_Nh8Kjz{iaZQ
z6#)H81*$0TFe|q{rwZ{pp8_qKOD_z1KoT~#Ww(2uFel&F=o32O<D^})WHM!Bqx+|8
zUQaDVQpEtvG!wi=`l4wP3`6?)#mz=MYcaO<KO7<E;P3DJ+qQu%Q|k~6oaEmTEY*l!
ztICal+r>8N5?+wcQU>F*N?IKTv!ooj^u(?es0wvBT^AHW)EBe-@wwF$AdfXn=|%Z$
z{RI{VM?4ew;f%ZO_|+Q~jlVhY<3?HN2FptRqGRlR^O4VqdVXua+BWyc_^)5<ey3||
zA2k-hKX|uvCETnSo;OA<<o)xokMw%7O+gODaLf-hMg5O-?2nH|9V#*!*)_ZP6H2bL
z2)FP)k#x8&SY^^??no7@i550`BrNk4FicQl%>I$D4LwZF3Of1<5+R&s_aE}nFlbO;
z{}7xUAdiYrMIPeQPh%-DzJ^$@{0Ma1T4M~CcY2?Z>{2uk;{}0J%a4ms^g|Po2A<gV
z-=@?$v0YBnSnu!<r>D&B=bJ7m+LtBGq2r6x*(q057Eg+QISejyW&0d2qs)g3A5|sw
z&cTEinxP4JE?`+-_uVncYV6`8-o%E1rQOb#7m>D-rJVC?qN{6b-(1G(e0F>Ei$19$
z2(C|dmr;0<ew$J}heF|-XE?uApz_&SZ2zD}4H;)W%=gzD5%E`is`gM7?{y!(s(gne
zH6>+fWySy4`9I7?u8=#s?#_QQDtblmTgV`lfV^CdRX*B&=C9x@*zgHA3C!77pLxCV
zr;|~IO>jx8&&i<ceY_smP*53Rrxhc2|5Bg%qkFp9P62AU;aum}^cKOjN=8+Ta?E2?
zufX#Kp0h$Od*@4<c<UNtiHW3SH3gO#8LGgeY|eDgu|B%(7X3#WfqV1ir{#{~eg_)(
z>-EMpI9AN>3KOZ7-i2JQ(lud=Vrp0tEkBRg#&tOer}u∓<BF#9HAY>_b--D;%+s
zLCkF{kX&)pgee-Pja1HF*PEJ$`1Qh#7Ds)y=}$vIlvebbeF2wju1gOX-H_lSz}EkK
zd|#M|obIV3izVKm0+ngm&OU7lTg2b8N6m-m`6}knu^RM^>>51|@xlQ+IHkrhJZbgh
z)ux-Y$WM;3yT(E!B2})J8G5BS;|-b>Z-F`GOlN$AY?fN?Z}(JSwStEa`p)D!ewF#X
zKQtYbxmdd2Z)Y1GzNGtt>w2TJq-H*&gmukjM~rNE3rhnP{4bu4Up~u_u3az>ck7YB
zVsHreSH)WE6)3*<6<A{6*?09r%%kslJS~xo1f2{89?>`9m%-&hrdK)SPl62E?4#Ub
znH$(9nWqp%me|vA?^^%ug#lHrADJ1cl&(QoycBdqln9x0jRD80?%e3`cEtX2247$=
zzsDJ5|5uJdpSctl2~_y-g0}P#M|NM_yaoNDTu_f)892x9><AR{qJr1A=GBMpCic!L
z<Qi*t+F_{*wf*iYeEO5*+1$O=m(EUV?-PG5_bzTvlM%z&dG^xh-$r}Uh}sk-e)Pq|
zm*W#2@{L;kKTC9a>dp9GRq-o~eFT9tNFZ|MLKpirqTut~cUHMu3j=az=4V3QOCZ<p
z`DLdWupu>-hhSwM>HVfWuVZWT27X|0(Q_aEzjO%b6pZgWpRUxc-V^`hS`e|g+N0T}
zf==80)f@&P2mDPp9D3Yyh|=GcKC0^Yreopsr7XcwKkWtU{3XV#3A%A*#W(IkfL`BQ
zpJMN9<nAh2a)`514*XqnZSBU>I4N?m)Wm@G$n?7}FehjC@1`*X0I9ZANYa!i!Yo=;
zjP@niZd`*bOaQ07Wy+<3jwK)ONFgM$OU1KnBr2zWzJ;!9w}P5g0vD+{V9{nn+AdB^
z2|;XaQ?h+LRMhyayd%A`Qwb6RrZpK6(}fP@+x@xs8B-fT=vwf2>D-XV?(QyR)5HtE
zb<+Q{$Rk(gtDew{oSG(%YK(I#9WjP-yT<*L@k~e9yEZbMFNW@PwkjNDlB?0-HkGI#
zX!K(76WLyjIOdi3nt#GM3u~a!qgQ~(J%8yyuacP-u@ISZ{bftxI}R$&`-y5Dppk9B
zS<22wn5DuDOWau!qXrmJVsSCqwF~DH??+4HV|lkDTn`O8M;g~X?4&Mq$xKkC^H7Aj
zzbd+pNYJ(-fsLb;NiT;6j0@xHBYeqe8zu%!-d9EZmO={E3tu0{ff)m&=8lC^=rN4<
zrSJYke1%@6fB%-_NL`IjRM$6IEYd9I18E*#PW-39)cKLj+CuKtV@&<3J%p(=sKBhQ
z<Qu_JmgIY-)dO5C4FlP5^lo21CR6_3`1Yc#y4qfsat^1!qe2`nP<euH7Ty{(E=9e;
zfs%=dNg+3Xbn3{n8q9yNCWgljDSji!_%3x9T10y=cCAc>IpLSVyDJ(DCFdTIA&KEt
zdS2MhK0bHGWqXp_9ce2rAql<d)iR~E_QT8NQ$jf)i>52qaH)Y?sbbU#wChHUU+{p2
z`s`+vrOfXFhH(w|>q|}nw7BU-4|e_PN1brCBE4_)5Kc29QzGYL&g(Zr@Tj@@MlF{X
zp(T3Jm)CeWK$c_nsz;<is@ACDLpQ|+CWS;_KZ_W@5Yi@YnE2@A?WvkWLn2suZbT5A
z0=K>I5;k4GPx8IwgIV!oRj_jE9j`(6FLRa6+Y3rCqU;I>NB!}?-62kPMrC`ht5%PS
zg=a$fCsEMdxBuHUmHJmB{|~KhH^ca1VmAC>)v@8>&mo!OH%FWsKVb*<4lX!@iWqBb
zhig@rb&Y<UhvU+b*LMd2!yyjxgU*?aW1iOCV_4#_M09m^wOR*G$me4*UYrCZh7iy$
z_y>c7+xt6b&tY@+992$bdbNIs0`k#e$7{+H>1k<B&dx)2Wz~l2_{BVB`u1Q#d0_W3
z#`D<B{|@h)%G}ESWny7E0{R4H$<C<V$;3F?Y{z(qk+Jddxg(*@5~tH8(M1{$rZuI~
zgXwm%9yBVr+p0y_%dkR+-KZySS2T*JW%}}mjqPw3g!2Yc>36<53Zlif%OToO#0sA#
z?s9_iohJc@hA!i~e&g|KvuqcKTsJ^ixUL@4#Jy@AbCZApJE3q96zW~86t6B};+%8T
zS;e6}-T%WVrAJk0IM<$pa64>WuT5pqOK&kOZ`<dU^9I|>gj~U}q|WeG*<j?9JNBs!
zf2`+JhmeT$E9D)1qq+}3@q+g1yYDvOk1cktyL=gHiK3y+Z(C$aL(fRc^dh#UZcsm{
z_7@Jec5UxloA;dW38UK022Bb0tV)TBM+NkBHti)dR~Pz-rqr{RHhvs~dO?|%0s*~K
ze<~)CqbGj$@0Zs2?5;G=8|cq$ewmu<|6#yi;}r1qr*5vs=hi=SfYmI^**J3I4>iv3
zoIl<C_!VVtXY=83m_5@JhvB_+TgW{8*13qkU}Q;(D@lUu^*GwI`uG$WLfZ%L1A=9-
zs<1*73#ydwI0Bhv*NJ6o_q`6gcUtSgs}R`NM$<RADZ(s<2`)hD-XAox8t$h2<_;$3
z8vU1Z1#Q~eb=8E7ab<ig(-d9k)-RYJWtfiWdGLFmXkdHE_vPWqNgWA8Xr@yD_NrX6
z2X?)VgD5B?7@0kwmwwkTeCJN*X~jso2R2<p$?_jyy9`bDj%UH7y*-%4c~k@h|HfrZ
zhzsN`dT@GBf003fh1#6>6A8u~<7JWLS$r33(@%P%`*SaslJmvBUD@Z>J851~{g(xT
z*Yp|>`B#<Sk;$lL6<4NQ3#ccWd`1FWU6KT<hJu1kyL~CsP3Ng<Zo;XF2^0P+x`Q{1
z46VDMId4=HpsIfu#Sz~*`3MzE&oC<pE-(dJVGL+Y{!$TC7YoIO?@MCW{z0OkuZal4
zGIMwA`(};u1RYVl$=;f(G5;Gas78Mt_Z$|EPK^rkDs7f#{iwgu0|mKVnVy<LK^X`M
zr3Z3fiGXL0^rq*I?6L@a&)^Awq`=7dc>Ui8XSecd*x4SS!>1Q{a%z@Yw0pmEa^HUs
zzRY8E^Ye;(&eDaN^skX2!Qlx8iB{Xb<VRFeU$?zEV2bxn<mTasd|i>?g{HNorKR^3
zF<KN#t49w5Lzy;>A6g+rX?J}*=Lnu+4tSMZeMLYw{Kx(kwCrb<;+DSF!%4+LktYH5
zx{DZ?7LzI6P2{0Shouc|r)XWuFs#Y_YG{A=TGYFKTd_&@bdGTc0gg_ouV;EnTuc{%
zya=)7A%Es+Q^)RD_Gl$9ejvf}51nwe4xp|?84|-QByqL=SDJ#keeY%l-G2^+g^YcC
z6k+UtYW8Bw2I*kZ9NJlhK9_^(16OvKQX9^Hy!d<pR;=Y{nO~`T)F~-v)E`&zI?{x1
zvf*wIZOJ>y-IQT674_1lH^>6pJT4r=xC_(6v?JN!@5i!lZLhTQxVkl=!~vngfQKF|
z7#vp0|KeHA<k}3mJuL=+Q@l02^^%(Kwz@swzzySLWBwtwc5#+aJ~PRKEbxdU%QGPL
z3C0@P7XYNl<;=uvFjM|28A0AlQ`U-JjPIPwv8_v7=pqVC7tg~cho-1Q&pwR;em$h>
z=l=wM#dSia&_fcinV$K2{fn)Q<;&0q>GZA!l=9ft|0CI6uqr4S`F~q+0*7|SW<Swu
z?`-p)=cly1$Wmm^4>zc}wqt-}u}<)@bKFHS@zys51>r=+r0&^c@#DLaU%3gv{Mx&A
zP)|Q@=Fq>^==AX@E-8=$EqGz(NCD=@?)KUXBzyf8j`vE#EJ2$y?O9e^=tesSOAa=t
z_?Z|Nx57ne>Gf0%dV|TOehIqn?%{illQ-RSn@-|=&kLf&6~0+rC!uJ_DM9xy?i{97
z>~-Tog#mdmH(~WL&~8x(HsPg;RycL>$@{hiaKDx6uzx<rf5O9v#3TJZ81QhJZ;Yc8
z8##mXVgi${oX14JdeVP)C(sqpV`csx;L^&CV$SA_OvnM;Yqgg3r2mf)Udt=Ty$k(%
zH}EI$MGl2HL?4#-mUMqv7_}+Dnpiwvg@rK8en0$v{kt;G^Du<))`KjncNeoGL4=C)
zgaLdN^w}xpf~19&NG@R`*L&jt$IWm?$wH5=Tj@;IX+ETVyVY_{)X*KfUW3)|c*O4(
z%gh<SG6YP5Ru7xa)<?LmopnN}&X&(<raM^>W)`5yHJQmxjl6%B4{H54<%gGd1br?`
z*CYsd5t$P{!7;0I^E>X}o%22Bv(Oc|5&?|>qkB$CR#gU00?Eex*RK;ciF#|p{6)(=
z56<!h{QMERJ3Z~7F^`Kt01-&`IA6?)yGK71XxlGmdUg9iY71mAIN~XWm%$2X^oz8l
z49#l1gG!jgmzh3p)(F|D*Hn*n_7$Iin|sJc^X5^8%U+jDid@t+;mFOa=@FQd-|`PP
zK)-Ik8HLIokv%!7Zo>Ux>&1<W+N(S5{#>mecMgTkYBJ>Woq!&7Klq^Oo)M!tvUl*(
z8MyCsbf@0DIEV$FIpNmjF(u-PcTv~wf=;bh^%4xn@7!4CU(1>ya3p_B+2TUmT0AAR
zpV*Q2M=ln-jf4N9LM}HU*Sp^VQeq~=6CXy>L);^O<4WZ4N%&P7`h$Ex(9Th({YiXh
zwps@_Veh8zczsP9FN*NsxbA2>J}E9ujh4sKcc(KzPKwqNqu|Zb1i57!-TAXuA_i%)
z$KfmYAp0l9vy?x}oB}l1FV*WJ#_W_>Eev5X9(N^fOW5U*-hPi8-Wc0UA|tYjd!oHF
z*$HM}i$fSld#y}UwgqeB+TLVm>A64aU@|x=)gcs#C9&Bp9@dEU4UMGlUT>h$YqfXs
zI4t!%yr|bYSFq|E0FA)SU{5I_$lnL-?tcCD<f1A$CV%QI*}Z-Gjlg%Le0OK(!gFlo
ztBWX#a4T%?Vc*Ze3#8QMm)>V8%EjH?pQ#@g?)mcNOVeG9rTRv))EO4g`%*0}>cZS$
zYkKCRC+p0i8xspOq7O@d`F_5QMwd&pd}lX$+rbx$YJXg`Y+vxuiYz-@;I0WaNusih
zh<O6qXqk=e^WpJHSbvqk1MN8C1Qo4wr~tG87o|@Wop@bS?53-C<-Awh&t~B{rKw-D
zgy<ezhWjk_f4QRPRBQ@L*{4!yg4e$Vbi?L9*j|J<&?uQ7Y{0D{mqnqjnv?^x>(8Z3
zc@r(_Pt>$rEfVY}SrG|$)%e&C*0wjpYqA*}8!;Wjpo}w!+&aa}Z{!F6r42PVtLvGA
z2P0kDf=ZjffeLArtEIMhHOt7|qtU^=i0fba%bm9Mt}q%cAUG{`14klw@BJhYtKn`c
z`tQMJyCb5Q$i}lB_`h5LnvLmLRf~BB!lvp1%W0oc#Rt>L0<|7^4V!Lb>4}+@eV)qp
z(6E#i@tJ-H^~LM<w;*<+S1>{xH<c2QY@%cD=jys)_fbPjDS7VsE`A14l=Y;lvsIEa
zT$|-aMdq9@-BOgP?e4KO??;DuRMn6Kzw^Kc^M`+@=)B~=S0zN;sXG1`&#vWXt-D!0
zxFfnhe*E{)+7wkMZZ+b`g8x+XULB@t%i<<{eN(q+NR1VP7xbo!bCF+=B>BxTX>8At
zjqBtzc5Fph8S88|H}$J7Wc3j7<Bae4oHpI7;zI4VGH3V~jG~#=qGVrLc!Kw~m5=|p
z2WzrbO^6G_tKJ(z`n2qnFc@O2CzMeZIi;hJNK9I@E52e@+*YDUu*=|m`pCYt%_1eo
z7RFr3n^W#I`P&O{a^A?f&0SueDw*^lso*xZ@4A7b^Z05hCf3#K{=2n7cj`GwMttDG
zR70#S0kh-CNef>sZR@Y`aczZWm++7{OT)-S$B{8;z_U|2kJZdSzmo7@E)uL*fYmf$
zM}Z48goD21*{Vgl-HOw|;;{ZYjann|-`8qI^$~na!{N!H=+-P{6_8LwUx&KSab$3w
z!SI&7JEi?OM1d_b&y>kBo~=6XLmu|DuKSPV8+FBwhjE8+{TLMqCMx!*A7G)(!8ym?
zzLR@pIh{zA9Kt}k;BJLn>9^&FN!>P82E(sid>+p>uOIe)ix~1beqE9Byt{n!@A_Ra
z3e16{ksC+D-6(b=YW(NC!CO9C%_6)7=001dHNnWILwao4&q#<Xgt?woihdA_oZ9v#
zLNLzY`_SKlhL)pd%>11CG|8*{ZPkF#pKgY`5AL+k1b-2>X2x<tS-#_I>3YcTfA1@Z
z>fe-<9x1=u+et=C;v$l2SI{Y2qLUg@CeftYI1|oOwSt?rdMHU^U;w6}0*A*_@_!^6
zIhZutbY?H;^7DSfD>=eS5D3Hnw%i-qJa%$&Vr{IV@N3y~N@!(ATkmI^(7kDqV52?u
z&`U6d@lyBWE42$q;JAw07hFVI^{a5j;Dc9ILt=A!+Sa9Qt|bn4oV_rPT}Pz<P`b^h
z*B_Vbhz1DWR%I#0Z<LbGQG3OapnUZmpp9JV;>q2BGed89H}h(1?$F{;Pn9tUk4#VB
zj2h#L+?p%)OrqLeAf!;|xfc;UvdnSe`N>t;I#3`M(qD7P?Ov4M6V>O{s9SY5_$UEw
zeF%eZW9a;!Z35Vvs{ye6)mA`hY#*tSXWUem?|k4p?lo!#imqjPR1cW+7NM^oPgt*G
zB7*ZxJ~~H@#Y*X$Ti;uYp4iD*Q|>Eb7N+DfdW*e<Z!r}V@GqDRbZv|k=lcUi6EV*d
zKGoFJ#C06u7{jH{t&!|Tu~ws<zP}P-p1?DQm+6ulf`i5VU}N$3P!cv~GmQKL$a(>1
z>7RdeA|fB{6!6#u*c55ne$XA6X<LJ<e?P<31dsR9durKKp|ox*Vtx&%>cKgnld9M8
z>(dS)sg8XGRxN@A1HRH{@1+6AIfulaEb6X3%imjCV#j~V6)~w_F!;sH<wr7Bpg>Jn
z&N{pPhWjwVQ8MplZ%>ab@JhI_OEap@;S+-A%~_)LS~sUEYgE8h{c%R@Q+FO^%9#?-
zORX08?kAScmi=jxr5Z2r`fKLI7Z)xYAtsjB;#4kBuz?hV31QXq5ZySx&%g9(Tf>^M
z6W^q;B`)JD>fX*7@UFeowAK@}!nG+{M7GD(YEMFQ`LN1hW^<aMg?40iMu9&)u}v|8
zP=zmzn^D-h+^<u27n4M;;{3~kn#-2~xd+HMwlmE4Qq`0YfF63d9-f|1iAUlUyXsK|
zbtLvg%Bl~pUZhVGMZ4A$$65XYBGf?G+%h{$Cvnx_tV7|H`^UL;iw+Hg<=SaIeHYdk
zPWAw0LPmqd>{URb`J?V<$4spYg=UH_k9&;Tl^wW@RxUybP>lfisQ&7CQgS$t3c)>(
zZ=3*A7%R`$lLSu!|KrkN-nY8n7DmY%nx~%}tf(m)91Y&ixY0Kh@OGm4u2EdD&Q_au
zosp{3j`B?V-k|dHa+f081R-MfiE^>hCI_KOn<i`IUfQ|wse{I|nYuq`X!+rlh(m%2
zn6WcO8T6=B4p(kGn00OcF<fE?6G;Ahg#IU7553u1$jt=OQ`6N81NA>D_PeAM1)wn1
zq};!&V#F+5Gk+jrW(7PEVBleaD|-a*WReZ9ie)*NniwPop|l;(oLPUIB6eEESlS6*
zlK2IoQ!Z9@NrGMqS?X-^$LOzP74dBEbu^9!zK2zm9|MVmn{d3==Uv&#PF5Hj?Wb1o
z{5#BIoP*gLs3}(ERJZDkQ(<<odUOm`i_`E(2%c(&zc3=?o|BDJeQI-}Ex9;r-caMr
zZ{>dIdw0HCIQ(yYPM0{Gr{!mJ0)mT$ydOC9x&Ak%xRHr<(`~<|VRw6TXr{H-`hx#$
z`ma#f#%v6je9)96psM_$;#y_q3NHgV=s-C}>7%ShJz3*oEfd{orKeMpbI`LC-RUQQ
zSFOyTA^yCi!#>+fD@tP6SCvj(xBMer94V`h<x7R@#}WT318fNyzaMkqZiT#T@{-ob
z2cf8mOkq*%d&{kC_hN_CK)gWtUB6R6u9C4Z)*~DhH;VeD?#=&JpgB3jX~awp=^UE(
zspCjGCy@?kJifuE(n#}rtOV)eV%e+Di86}Lt<CNBT^<|n=T{1h$t8b&>-s9O*9nse
z?}4=CiRC_{c%#xL_WGX`A63qH(EN8mF{yPp1;o%T;nvw|L0-2Z9005BzPGfznO@QV
zvs}k$r4Yf3EB({xMXT@z!~S{kFP-yweN(=I?v3HdUalGA`L-Kl$@f|2Hqo@LdiI?q
zkm}k#Jd{ex3Fo<IOne8dA1JnX4RHcrSq3IhGk7>Sq5?Z!T73x&?P{dzedxL4{YJ}k
z>K>=yRMMeMrQGo~^DNjlJevCWF3HXK!2Q7{`^a+OXMB%18RxOYo(*T}>S1bw_?3c~
z$r(})=yGSzo25RnI(LJ!D)_PhvcZ4(7X-Lv&%@GQ+YwKuHDhJ9GM3%6#m&$E^%~9X
z03)ba2k_bL1Cey$)k7c#e%`watcYe8+PjDOLtJUqddcr88uU<C8jk4#{Gq=rc+KcO
zrsy^PSM*v7c1z41sTWf+0C5acn^2*bQX6(fS0MpRzkf<8Wm2c=f4jrOP*5JM-wUV=
z7C$b%i*ziwp%RUi`K2Xx;j*e7N4E5&Vg6S<!~(mZPt|$Qp~r~~8Gq*1gQ}jV3Ifll
ze%Gl>!u`~NF3a0@VUX`d?)|rJj<HX8deFr>(gr41h7&*?{)+2et3c@MLW9pSxMA)U
zU;Hb9Bm3MFLW&1XL7wYlUNypVWy7-+big(85J`obhqrsl@1V})gK9xJ7@ePWw4#FR
z_TlM%({z>qT;m#@8$s8}FK#{c0-9SwwAZ%dZ65#SM}+<^*^uyrm#~8~UL{Mg7cCRE
zj;pH1#s)a0tsY)i1WA}$vnv<F<XuF{wb&kTFQeTO3mlp9el*H_xR`8ypTptOBeclq
zRqht><wNmutY`hf=1(cPjg{(4+rXE~OHCs?qjv?{d<hm&H?CGF^<paXBsSG0=GN{Q
zl_$=7b<QZfIZxpGm+4jf2exqB;n(p$4ayxqDQ6pIMz|#`>^S;<NvgabT1;OtKb3%P
zN7ncI{rsK0^e`)$&T$^Y)bx-4hnP5ToJ<>V#;W4_XEUZ?t+6lRp0pI2FK&B-x7fCJ
z2a(v)@df?lwEK+pHL1WwgM!ns#x`3m@v0cj@qwEpn~MjTnCpcuZl(Sok?Qm5j;VE|
z3NG}7Bo1ZlMcS)L`Yh(E`E7ed6ieYvGX0fBD)|E<@~-?z3Ul}J_c!mnCr7zeS+pyT
z%n%E2vy!&&Wh|eUTw6bPwH1A^l{;0V&l!*8jih@4xX4MK2R8#+>#1#$agynn4gcGi
z@Q6rnvR8_vC>-1d<q2p4L>=z?@rCn@l-GA|V4Yq0|3b5mc@iuEg1Sl++*kNSXxzb?
zS%%j#Vc-9*v$AJ5CRjfo&NJ%#jc3wP=n~syRSNv`h=@NhK3c3p7;un3H771;vB1)f
zrPlH;xQd%&ZcUdreUsTCm~V*tXZBlrqKSu0VXn<yUp2<R85pubNv*LA_Myq$30JNx
zJ}Fm7(kDa#lKV2(B0$h29I|8lGHIt9h}=1m?xxvf-Y&-xP;b#G8p41!Z%t9pr6%K&
zmj&DJ>_FkEV0l^QRm@y`!I0qTB<xL+4UT`ntr!UP+>&=izAf**N^T&;yP`2nAlhpC
z`%_q*UIBu1M-WXWP%8WPD3P^6csqiewz;%k#Ap5J4+cB9YzB-p=%wb`zUS9>Gkr6Q
z;J@UF<EB@TA?BVjuy`f#fKD)Rigy9`Way!obvOWLZawjxmKEZkbzc0%t(zj>v~rkn
z4G>7KUDalyeFyA9=u^Ba0^ve!yk$Bt*($BY0f?1kWBGr6?aZqM3tpELRp?eB*A+`u
ziiUuip_JXJz=8yS+*h}tMY3aP#Lpo;`@rhYVouUxMW6TS=MQT(E6^g7LIr;zYI?7A
z%S<HQZ!g!i*(K$vrA$tHU)O!6zCuHbk2f;gq&T&6bdMd#{b+(sX=$Ni3bXS_JGF8c
z0rw>;s&Q!l!z}gVljNjxN0j$jfL6?O4lJe$Fr>tn&O!fJOqOMOfQ;Rg$8>bma;Fdd
zK}l->xR|~IKbgGS<_Mb*35is&4{cJx`S@_In6CxAY+7KLpo+K4H9MM7-YQAYz9qpF
zwZFDQI+Zr3$vO)~`kTxA7us;|b^l13Uz*pNheN&llNU_r9G9>ktyAvSrTW+Z5fZy|
z=VH^^pAg%mGx07}6b3yO<^RW-e5JN9TJ5#De`K~mV{r8dwC*_aTQ_YNfM<DB`Rz(o
zDAw;0MT7CS-D84=KJKt^LmKlmmpZGivSmn+&DPxolCexG#5-vk(MFCwK8J$WR0AGB
z1q+;{_f*(?pFX0dGWZJPb>rZxp&DO34m?W*|KW)%*rZWWQK!AC#EBBsc~$2cB(mj#
zxap2OA3v@vp8G93V7Hxd*Y8&{o2l`Nc`Nc*6iWlhMLXKn;JC<jDSbQOxVdk*h4^@y
z!kj6`5k$AWYn@OnS#nW8Lk54mo$~1v&`YxaenOWLvjOuLBT+G$vZe0dSJLM{+(CJm
zEPQs#`o5PIg}HT(#{O+4PH?~>mucge=NF%@byH6|M;g`7zr1@`kuEZeHp==g@zp6H
zL+PO#4a!=C%#}dIuUvl=T5FqGkcD~Iik-|qY~@O$vef!^0lC~W*ElVH+`fBkRhpP?
zn>1S+Q+>(_3<FF7NLhx?#zm@FQd?AutWiJ}RsIjdENg3ea|V4FDnfoD9<98XmFJPO
zWassb%<OYnnaANHCwuz`_+R!V>_?ZQHiF<jtXY6-$vXe9xTCdoYsrTvBy8D~TxmFg
zE_>lPaCDZJ9YckkZ-g=+-)QV;kt%{<w(Rh!1lCLN%r9TuJ3}J4f<y8LE+inP&U*<2
z-HO>7Njc@U^Ur9eYrg@dv+Oe-f+4lm7p+fqTa{|%KQ~2H=usW-)VUf?5Z_W#M}i$T
z>uF!oAPG4vXKC60J_J?MZzA<^1WCa3KmY?pOi(RN1F9G4neUzS^lXxon3^|Y|9Rnd
z7J9h<fg{aA;CPF-kn<?=4faHR)Ujj1HaOn&&biRu$ea=aV$XM*-&MI|#2w|1(Cltj
zvZYdFLU!T{hcLMCblAVTlvA`9$KcUbdzZVGNw)3oc1h32B@w#T_4Rd^=$p_KXn2A(
zkxBLes#6FEATc&ZytfR=r7}q^ZBNVyc4diO(@f}mmj~NfCPGgfdUk}ppsKxN`txen
zx7%DpGJHQouX$h>eYZLKOE932t6gMtH$ZTpu~|x=j|@qO;{u;a>ktsHx6vKk_3z@!
ziUBUZo;_xcXXa>DBqSfWwl@5KM9dc7eClZ9XhCIMc5UyMVOnz*cMrroi`Tz*Q_UQ!
zfSF(DySi1zobiz)(7wIo?{#KCUCkqK<1r+k92P_<a_X>-#7v0RN;l^@+cI(g_m?ys
zh4fPZP&S)k@}=?ZFZB{}mM~qtxlg<98**o^Mk~K;WLZCW9SkJGi!q%-Vnm3yMe@d<
z{(?S8!|7P*o?wt)&VP5g99)obmbG+80$BeV@OEWfSFU@V*MsZ)f4JmDH5w3jqgq3L
zF3TZ+VA4yI;9}73D0kDQ6yZ;-*W;m(Bn=3W4!S8H85s#JBP=pzT8pP|EL;b^i-cwd
z1qF@7Y$fOHgJ@j4#UFI3P-NL4n8;nl@~>3HJ*$TP(R-`yG3{{}F8!oOz%X2H$WBT3
zY3pt$P`Cw?yE)5WJtu)PHefeO|5EnrP?52m>W`}*J~3x#;xxohJ?pegvy1GKD5o!x
zLAu!sw&No^4viwCq5|$F+QR4w5m%(%!px(_?Y8n|Xf%$`ii8)#Tu#vt-I6@!&T+kQ
z7B+n;=%vf_js<o@rz%I5PXOHpvUVWPx6s9GHCDnV<#%p}p)0>__(L=Q+Pu8~j_8O%
zWw$I5MhH4&KWs;+cW-V#4fA+bT?;Zl0PKa>pn_Kq%k-8X7*7iH=>NSar#HYBMytqN
z@kI+>n5cX-o!PCYn747`A9pwki*(b`;+E*L2G^B0Y#dR+uY+a*SFwP5H;hy0O2p^m
zY*#Khpb@rl*lN#BN?}=t;9t+yP~d4HY-%g*rdEKzD?0^Q7@!aWoo`WF@gagEn9ZoD
z&<2j%qwa?xneRuUKGhZ%T))?UUd0rphDl+c9ku+6k*zORFWav$S9fqm@k|A~(u_(L
z;e2zda87SXx73ZZyzVefQ%6+xD3FG^%s@Fa+<45EN{aj{mWW$Q$0+vR>({T_E&8s0
zh}D#tylzfA(CPAZM$vwB-o38m<7rZj@OaA*E@B~DA?_?t>Qi$A7G3JvzjDu?&=lo)
zNGd{8{))8n@;QXC>7!Qu=*Cku1w_JAy+h<)sR~(`3-5!=))4}Mhy>nnV;R#_YB?3|
zm#an=WqQB>T)7_S^hnjDC=sc~YxG77lr6u8YwV7}J|kLBOr7N+mBBmY%9A%A%O>9?
zEpB&2&jVShk$X$D$f)Q}q+68NSvSn@Ux<#P@8m@!>Z(SB$+RlOFFob@DcjSe_v0Xk
z%!0A1-SAC^?4Ktc4N?+hZ_nj2@fK{4y7n-=hH6ee-@EqiHP(o5OoJ415a=isc?QN=
z@}ypAH@Sv`^Q{eKV<P`W=e}c$yq0TezpXECCnB3_0>iGy=1N#MVLeW+{|lDpLgSC+
zh?0jJ?KO`6q>L0h>f?XeRtS>av!OG(rC>$MJMS33bn89tgs%ru^)5k3|7&&Dcj%DD
z*WHi4i6AX6b{-Q3T3?LgM443fM6;9qS$-t+VQ6ue_vJ$t&GN~|tW+wxK@knq8M#`C
z;Rbc=S2C2u*&O%~&iK(2?1?S?9Y)NrY5Sk7vGt|1ms=`povCpWhNxs5bJ&f7;qONx
zRP7qSw%JCfRZF*p)=ZPChSxq#^2B8DB8VviAIi?$1KOsmYYgZGv6_dYa=@afH0aiL
zC34D9qMNYkxLPOu^`<-kK^wPuYGPbPQZEfL@I6?+^2C0^z&0eixbHdCKh+9)w@hfU
zVswA}Uf6jdl>*oQ3!DEioA%|MEG{dE9^%13QzGz<>%kh>?$u~4i6v>=J?8ohWWs>q
ze4eU5i(=aL!J%)+U2Q)c8d&Gp+D+9Y((>XEQ4vukVxeb5r_frb@f~DSs;Q^!+R*wf
zy?x2UvGBO8T<v3wW_!xccW#2FN21rpCpoERH-#B4R4}ktOkYvFC93aQ#qZvQn16by
z|2UWB`UU-qOzB;_w|8%0maaDIDu&}O9t?cxT#ZXeWbi#lO%)-0Bv4d8)M3o_5bEm(
zUg6+e>@E^)3d&+m0qz)FF;X4khHr;JTpJ(q<G_jL$3AP23fnDqghcm~PG@2vvrxM7
zc@tDHRtj77iQTt~<@F(rw@mVVzy}fZ9q%sbD!I&J8GX~`0`rGw`kObm3fS04nNyqs
zhMkza>RA5oGlzoi01%vY+z;>Jwj>}L$WMZ!>-Y=X2UiPibqArL1|sPN<@ckX@yrS-
zXRGljZNey&6|WWLgq(P@MkDHXfj-ce@BHSh7c#sqSjHTvz+a+6Lm0S-BH`#1asJq<
zWMLJ3Q#Wq3>W!fo!WD3?pMP`lnQ3K@R+2tGTBK<}+kz0;>RvuR%MuL#UGOiypnL!^
zFe_%JWXc~<V6ntBTq9(gV7TD)s2hqaKpQ;2?fU(d6V+$lT#$Q@=3T};86B>n4lV|t
zsqN&fv1gkh<~jUxBIe9k#eYU%{H~IM3VB&Se|6>DD&LN9Ugz`kXw|zo<S%>ss)wmm
zI+Z8J9lzc^TbWCKf|xGVEAAEmIjRg!@OFp6p|C)Ut9Lddo7b0w5eJu=Mi(E7z*-=a
zF2g@U2Lz0lKb#UuQ_P%Kh`Wk#vv+QYt}1kj6kt6gp}Dd;9{mq%ku~vNs~a4J3W1*J
zb=TBlwEcY-^ga#%T9wdI>k&NLGxyHAWB9+INqc<k*AtZ;GwOf(=P}b-Sn~lSzjd>J
z>Q*t@_<*%Hhfz&EHcg6KKOL^#+<V{Q_GGFz@z!g_=yv7%uSxK6$*WjnGv3~p4r6Dv
z(Pfo7SD>AAQK!SPj4t9&nVnOyQ${7Zpfq#F_Gc_gT?#4*HPuQfsm5z1Fa44&ta^^8
zepF2<UJiby=-Rk?I5c^8)n{z?=4!YYS}<(DN40i={N1QSx#zUR<NSdu*RB<k4<%jc
z6$;8K!`XcL^l3QWEva0h%P;IcRS`;d5Z}H+(@8NvO-=o)PJIP5famBzYBEC;tPF$j
zh*-I}h%e^bIyre3y#!+Z>fZVigISs0>*#3mnd!+sk$3c4t#ZF|8GU3<$Cgvxud)aW
z0}mh|pys!R@iZ@P*q8V3du-J2xxM83`B%g6lDc|!9y8uRuFw_rse&(GikF4PL9WJK
z02?&XhRyh|O#Q+95t-iyAEDUTSOu4Y;*(Eo%m(3<niN6#y0&>*KV~N;enx6L@+S86
z^))s<)Yj0bG~guF{F=dRYHC`msR{HJ3Q~^mCir2Yp_l?oj&T_W2~?H>@y-VH)FUD3
zuQvP#;$lV23Lu54#Hg;RsVV95{LbCmV(jefIWPe|cPkEB|KPq!KtMo5M0Du|4E#TT
z_RNNF=jtUnKfl_}8Ia4;%J1d(2RT7Uk_H^)n<_}+-@0`RK1%tWx^%c~R<~7HR21=r
z3mfk$zuPFv%jf3jhlS;rk1Xfq>9JFSaeXQ(;2Jd{UN6VWZN}H_Ugt5NMMR4EEPBuh
zYmL0xc}MeB=6k%-ygWRYj@&#fO-;Xpt#xsMOGHH55rv?R@f&{v3$dvOU!@yzk>un<
zBHaSF+j2q~7?cMr-G9tdY5qq`!)+n~{;t}BAl$Tt`@szd$v6%T3nNZ1bV+h7%)sA%
zp*|?XBh)Qmts?EO>QUUf?*?PvS0!PoBo5(W{zIkYJQ~;MbgN`lP*RG>%d7K(FYckh
zSgS5iKN5mze>-mZPM;pOye~_xRY}RoIHPd2d?PEyyM_dM9t?f+USw)v5m(Hs7+H>p
zh+r@iNG{N_m(T+R3-2pu?;K18VHuhS*z<<fP(`eEaOr|KNeE?a^@HZtR&Y%@4A6pa
z3p`t9r_juw4gxHB0wQ*)R;!k4!LuSk`MGst=uaOc2_=>9z05>?{bliJK!i3D><{0*
zy=ey9YC`<%i@3zZ>H;(eCi^w>LON*~Pm}nHt|Zw-C{dJO*LF#jCyI1QJP8=C$rGUC
zWLf5dEpBdR_Bn3`K_tA+7Fs;4x$oUWIvL?KV+~t}LM<XmhRn(&X^-X?G@*HlcK6>}
zZ*ekkHZPTYr6i|1e=hbiyi4Tt-y0<*C8Z3zC0bMY`Lo{0V2=s@1!Cf&!a^-OyOf-7
zlpUxbjiBt@+;*o5efBts3KW9;CBrQ7RSH_#l<4TpJUeyu*C7erRx+w}$2<DXCYQ5k
z$n-UX<fUQ731Allrel7hkT|)_dUy-CSV2wsJC8LJMac1DcTNU`Z!9gd5BEfXgGEaE
zr5p{PPlfsX)JC)75WRxRB+Z~-b2)jHOAPd>{6{P9B0xAWg8xg!U{P5yf*6=VFc4wc
z1@f|~44BZME-fRIEx=F9neUF<dh+qkaXl)@j(otj^jEm-6uL-Ta{yxD${k-lLaX>&
zEta1`LWGhp#SgId=*4$xcUM{=$hFrPkAT}I4M^#)U1!ic$f#cYn&^Wd25lfG_%tYp
z!a6IrSi?oYj<hCIBz)(Bx!XV>u0BwM?qrR1baV_4>&2USKKpt{NlTL_FI4sRbAEj@
z!<>&nOsvZ3Vx!dC*hpYc3qIx<K`$Q=5o*F<*bz_vsFBK$%V=oZ`6jfJCq_qKrltK&
zy&V@HPenfT`KeE?__ZBv@@Cur_=OhP*x0~P`;Nyx==}U8#0BLHcgoUVzv}}|;rrLt
zI$By}!2{sw)5fMIu=TlPzEP9&=8Yspvn9TrZG}j)<;VAVb`>M{q@+Z0;ml;bKHI<`
z@A+RS=FbJ42+sHi<oEKcyV>wap}UM_PmCZ!#tCBQ5s4@>-bC_&fnigZ(1jlxxFzzi
ziEFN7R$dMQ5``*-T<t1{j7MnJcMD#Rz71HmZ@HKa@K+UL=fUnJK><yafs**=HzE;4
z*~dOFnp;{tRr_Hlzu*qKgalrLp4HC6zyr;&i=hw5%|F@^YRTNLOd{$D{$Vuu@#DwJ
z%F05(F%cVL%)#+a+S}X9$hiJGw{7wfIk|SoeOSCNB$Ti?badkjC*WU@;d2A?<IZCq
zEF|Q8e*S~|HX51(X2s8fga1!=*BKO5wr)Ykh>EQUDk5Ve7-le`U?3@th$K;gktP_(
zQIH@(8b=WnLD2z3;-CV81fd&{XaH#gLCH-wAd+*C4BdAf@2$G`y{h-~RlR!q=M2I*
zdw=`;*0=WAYh}8N@$u!or!nz(5i1s}pe@HRkb@9Nl=#0i?tNDglY<erkeFwTZayMD
zF%B#L)LiEKfBho~X%5PhdPYVsjQd#(TNd5gxCuD`-T@oH@QS&!ztpDk9TwyFPJwz1
zJrHh)Y1EuFTTx=l;trrl8FPO5b@iiT2p}ZNRoj!3-CRZUo+I8-{Q^&5*xA_`$SvV~
zx*@2TYg4<EbdF(D3n#Y5+H(H(-jsAj*WR-yPB7u%SYK<;-`@J>##$-O)gjB)O8st}
zM^A}d$PC<FG*z-zCxF>j8i>y}*|p_wrbUp|)~>Do`D|ypsUTV5Nt&Oxt~<d_HqtHR
z{{8!qNMZ!>Q%cPC-G)84%L$hygXUI%6+hHnmY}|~RE>-_U0dVpv)2z807Hz3aSY`p
zL^NYm@k3XAz^TbTXQkNTvy{cFHZ|Y@DHLaCXB%5vM(D6|xQ3>tH+04*H%s4lOT7;g
zO_aV-$z*o-W}||=6d*LZ5Jazq2;qF}U|+uf@h>g7+WPzG=qTatX`5b%4{a*!WXnoQ
zjNl3mmrn@a+oUpKj^>!xlYk9^w>x@cvBL1{g{aoo?PNT&u`ETf<+{>UA*SdJ$fzsS
z0aHus{H52{T&K`fT1QHkwl08ufiks-JJWaJ-7V|-JMq{cxUp!%E9iV|s|b(4jEp_$
z<WFJJk#deP$;p@_crh$mv`9NqMq1jwt0LOT$%)@y!81t>Vq6ep`JwsY^JjLpJ=J!)
z=i$<=GopFFnBL{vwfgSsh4z4K_-+boIvFNS?d|KcwXvy)Iy44X(e**^?co~9oh+XG
z7#kVs1@FP6<h-jRZ4VwiQ1M^Y(bZ)Ne^3t(k1Wf|!8>xwf<hZM9CGV#z}L!?&0dag
z{#;~lnV>_y-|g7F(|hlN+*3(>h6eij`bI|mkulNH(&Q~$wg5N9^yILe0|PXp57)|!
zK*Z+w6J3hi0IT*@d8uC)G~gZvm|0k4hh0~^tsGzc_mS2>lCmIDc2(G;M~_SjJ*N|N
zq7Um)Hg4Rg9d+=V_KVb1PR4~B0cPgr9v0df8idIt#cY7Zh;A}!E$jaI_Ab|hmn+vV
zZM{BmN=P+-si2_yw$9E@Sy|b~nhAIBu1KGIay)2F2oziPotOUQrsD0_@x@0)x|8@^
zg7`LD-8*1g7r;d9<0DzlZU0qbYeE1Z0!!OMX|H|x$<D*AZ}_rFaXRF<ZpW%chj;QB
zBk5H%a_48EMW#+VN4E;G^z`s}6#((>DdF3}!NMU(hrat)Pl?QIU2vPb*f{RVf~o@u
zGxlF$VR$FV6gtg-a7)k{E2wQ~*iJrr^k~sDy3*K@O@N%FM{Wy_#Zu0HX^9hXIm?%K
zoKG+cqCLr=O+|!+?ruELiw!)ICyFBxGQeliq5-%3fJd6Zl0v?23pW1epDc>uBZZ`-
z7v&`-F=fo*@CRrcvjcGp29`I|m!4iQ`Vr1zd$w*Z>D!{Kt2_FREx+3^K8%0ZU+LQD
zi~l;e{G^b#Z{H%=JrnlJ$$4?Jva{XZ-dtwtJyMD_mUCctznU&+iaUCP(vIt3ZuuNr
z+o-uYZ_<W?ms_VD4|^tMO{mkVwvkT!kn3I`w$3*Vn}0Rw5Cm^$E&*k@wxp({{FKg{
z?a$hxa?6fI-?49BW~u)QIKx6CbyF}h(c8YdV6h_<vyuQ(^u*$BYu4aHpZK2v`R|2+
z6Z^OKqK@pBm&#N{jOiX@ox+o;wKx6zf<)!CDcBO75i#N6IUZvcq=>_=HkLWU!<1Oc
zum3UK^k-Ngs8lt<DOp3KDbrjd-K3CJ!K+dc1e$Q|t5X;$SxdnE;LQq$?OFSAYr=t@
z`|X|olBcz=c~AcRJoBd^^4BZN$Ek<KfsFY_Arh*1?L_MMXtUSQJRI1^G|%O^^f=NW
zd8-H1iLre7@=dGMpd9Ny$cEgKc%0i4wOQ`$kXrDj=f-mT_t(_dM`|Vn1T2;Acv-eN
zQpPga(&y)r-`e#?M8a3#7l~nIDx3B#IVI&t^_rGzrJa?r#h3%6^rU25^Y{WtG(U2W
z#?E)&%~SCmEB$sk*Xulb8-tT7DmM)N`|tXhJiGZM{`ZS>cZ3OT-nF9)5D@#2a4-Mx
za9dY<``i$Z>nK`^w5O}8>p3|nma*79)nTd#S&EQf{Bx1OzJ2?S9Xm!hZNrD46_?hT
zo16b;kQOE9Xmb4caWr~AkNmJv2%A<pyN1g}cLJE(V!ij-)FdJ4MwYt~7KtOJBB>p7
z5NQ%r)y0K6rD*?pfjEZ-8URU%rZI<)Z|UlMj>&0a5c!~(H$ODlLZiWL1un~SX3YC(
z4jT*f^z~s3nvrEYJ^W4(2CJ*mOR!@wkYF^U4m#mZDGmT`sMe)Y-TP8=?l1#L68&zo
z30jfajxEILU0+&$Mc*N>iGB|hHZ-|}tK`_&Efjl8bmmp>2sc8gw~*VMU+w(uH)KhM
zZG9TzG5Vkr;otf0)=IDOS_8u7FwH^AP*_|XH^K%lACz@qH*BcXL81Trxd2|PYu2vy
z8t>IJG4W}AeVtJ2gi-2HF^>yJalnJ*U?FQOE9OVsQZq^~=FYr0mqppSZCe+Duoz;d
zW22)hZt-H5bUDAGN1=d3m0s+*8xHR@&%~r;R;@js@7U0Iy=ndNlQ|9?Px$p-<+vW)
zq!IS}G*nO<*z8S0Ld2d7kx=urutKG38d!YejqQF$Vz0wcQ%%i}Z~o#5iNpuMfy~j4
zPmsvs8B^SbnicFCGRE`*IS!6{&pKFHt(UR*ToHXl^(jy*=5AmYv7<QNW91^qN7olF
zq5p;a-`?I1SR8%C-NMW)H#WnrG4s`xE{M&!qIh)mEn1k6KaS4Eb0?ri?&=851U~_h
zA~=1Mzt+^a;LWa@BRaq=h-mNs%4wF{zP($dc*;+>&^@MZaUS5k&t!g!bv@L<T-EOM
zw-lRF=!bsYnAIrn(tV2L<o|<=SQ&l2P!O3%Vg5(;z}1jl^_&?%H3f9hz5?}kH^{ud
zC%&5ump>H!iGtd;1f#Le@-srJR2do;rZLMBv*3U8=8E-uTJd(NNl8_i$lcP$dHbQh
zOD4ay$O_u5F!NAH(K>adcH$UjJ$BCpY=u8dFWwFc5>xQ}0kzQ@HoHHxI%@)spp_9a
z+ax7%oL5p-rW3JGQcf<Xv}>p_t1I}(;0X<lEJN@zZy-L1IGP=Br1e$K+Mwgf%*sMd
z+z8BvmI?9%=dvsYnhTrcEN2ZH6#V@BtVQsz#CCkGs`{0TuL)%=DU_Q5NK^S|xF{oM
z_4T>XK{L2`vF#8eD=&|Q4-4*OT78MH8^r`1*A=Ra5J*n;LD<5r5lj?dk44s@ojYwB
zGA`i1fLbZi8J;WmfzKxVGSs!SR<2s*R_q)&pD4kII>ST%gw0+s-5Cj93aJAP8LIp!
z0?fXpsIc_2k53!6aPV2a?%VV)uB661S6k7>W*YCBbQAVgUqqVyLfn)Xia6*#Xhb6P
z66?}UhmJH{#s1SjOAI48iJIiBSo{utopLQK!d<%2Je)DrA@4mkjOY@!ZOJqbG*I47
z77jE=MK`H5&9;k(-!84lgYD&!zS-pDJnT>=^F&MAop>`#OD}T=HG%mb^~GF0FXkX8
zzlj<4-~oiyckCEQDXqp9lq6eZO+$8FY)5=h5|*h{rYlMJ3B|1AV<=0>y}w}#8UCrf
zIyRdfoInVb35C?u)CdoOt3OS(=6#l_%w5~!Gdm#c<rh%${=E+}n~9(k&jLo&3oB#9
z*Q|**w|dE==Z9VCRl@3}UJIa<^r?Aj#~wttwgpzKMpegAYy5Hvxw2T*lNuUCJ_+2F
z*UfQnk^cR6c8(+N42@CDkXr94ai<6ecyt@P4e8zR$vgyiS-dYY3}gNSYLG%KShfSG
zJB~%uQag9{!bBEuKpDx~#H1N5g^G%b`vB_zN+Xn3sIz!&beAn~6`z}%D<~*<rV)-4
z+<cBtnV9?4VDe@qA8&xr<YW`qT0Ll)D4~5ZHs+x6BG=5IJX^nXXo8cx%l9BTz|!NY
zs@N<)U~`HvLIDX8o>Q9Xeu7+NJ<|2vQXv0t=x2JvcooUyk0S3^0l)u|(Yj4(T3zkV
z-SvBqQL^nCFXl8c{z4{BFPb??Nz3cqNpd>4iS@+^NL?m^m6g?>?lb-yX~*{MRr;-7
zXs$wkQiLGr-M4LAaSM>`UwVR-pFV+BAhe)Oe5O0lK!D=Ziji+jNzbDyBCr8_3#Zxw
zkqa=S-F$=V+h{y^^?g22Z!}ge*8=4J;>C+fC0+rYPS4Gq%BobP(yeqM+9)rRGqe`e
z!Q|Ik+EK8b-@29-Bqy^9Ow;*4%N}o4ZHI0y92zGJTt7+Y1O$9AJ1u1X{e4hO4*No_
zsAIvmh?vk&NirZQoHR|eW<X&xbgNOYrt0vZ;RXf<UY({dFZ#LlL894ZTM;Ud;lrIf
zce1$4=o3Xmw@3;s&2%3!sr=E~Yhxb+Pfmp^otpX7?&6Bg*LmaVw1IK)GA5H*w%O}*
zhqG$|6KbTYW`Mujw4=6f-;P9nHvpoRD_I=y=7CInB3sEQcPK9}FZ3K=6M`w2YA*co
zRYM`gmWm<{V5DmH;eljK&tQw4p`qcqa}kbj>MSnP(}j7n_p)`L#cy{kp3inv#m~m@
z<m+`d@$qq11HSBnQ^m;Ws5386e!Bf3`jnU*SoPHqZP{!6^(nBTXY)rUvua{%{d?mB
zAV68M>yh{v=igT&e70#l-b#kz$wcaWgk{V!LBUDQS3nbtT4ui6fb+J)n^uv~jE{Wm
zPXs)6XvjE9$;`~8Yt^$s5yg7;?jSu+Pp6^cvp8?Z20Ow{eI_~XrkLJUie=~bu;HXk
zs0~u7zL&LC^-~RNA;wvoVt`crEFr-GqyPX1D|RayhY|E}VBoAT6a@66W`BF@mt|3I
zNVod(w~GJVbCyD05!$ST1gT0YkpbXh((bQ2leJtxAX3);aR3nY^U@WE4jn>{<;o{Z
zFs2%5XbiKQJ5G`aUr21eYq6JPBRTbA(<S_TRoB4H<W^Zfw3rvHMPuL9WBQm*-#>7y
zX<d40zN)I~;9t1@Mt}KIm*RldSlISU@-S<GaSF#h2ohwQ_nh|)h*G@9ioS|43Ou2u
zRUYl$?19J5DhdyWw6mt39)Z7;hd8mkxh}(BCwmfOv-ADBI4EN@ggl|T*=0B!qPBT@
zqRFus8Gfaxto(S*8Ia)~z0VVOAu43`on}p+(s*2Gw$cV)bq&IznP?BwY4d$hQd+xa
z4aE%kg27<mt<gb~_tCg>u&79k_3<pdv+kb!DD(an6>put9Ycg;ahyQtOULveRV4&8
z*kwbicqVM7Oo<zU%^DK2_i`&tZQGyz95`+>p{&|0-yPXvwvU7G<<e1*rdnt~a%tsB
zu?k)j=OVuh{tUm9USUoA$~vd@^d!k>?0q_c#D;?=I7hq~xn_p>DfTDQocwnc-MAiu
zYU^!V-#O!nHX&5p(GFh<DB^Vy4C#Noyoe`OxwYa0lezwYO%0YGqbcd^m3Ag+pbbL5
zBZVp3KT3uhWnL;<<(}<E&zPNpt9kr<8!=N(-{0dhgk$ID2q4C2{8E@GG0t_1?N}o$
z+!-T2I5AQtUJUhepi35Mk^t7gwIZUT`M`reeh^Q9D^NTXt#NE$MgwCd;k1pGneg=P
zjC8a~IYcSxaJC-d)jU5_D0TO&fq_np{HvgMB)XuVi2c3EZ0gq$!?__Pe?jrOT?G~a
z^d!#Dg0t>t!9hNuuT7<sbZPX$>OVx?8T|HIAg<j)zDl(yEukCdTdpH#;{5^JPY3=%
zpMPfo_mlhg_gs2^H!JvNeNBy($l#N=1y&EEIE}3Ow}T(-WQ&L23P2wG+vVS>*)L@7
zGz?4t6QFy8FZIztgV<{m=SV<08)Pgr&CJa7_3P-?)f+`c0UlLp8{<~Kr6Cdqzpu!#
zYjhrMSGTt2&LJ@=A#=pV#UYD3f{{T@f%*mY+~m~vd!GdRb{AM}q4QV<fxP*$!X+_E
zffUyKZ5+E$FZ{Ck^`deGUADWvccQaeDR>!UTat6xKLO`1quf18N;LdFLLDC0_i%QF
z959Y7!G+MOoy4e9OLA&zZH4sYX)5(MZmG7X5Uk5l)rXpLDtX`gDxaUw*4Fm%;j&*{
zNzZLtPI}oifZH{p;yS}I2c6oWPdG0xe&PMy4TAE+%4g10gJ<me93eqw%?$tbm(W1X
z;T$w5Ad3trkg4|==suz|sGM_S!KuL6q*sq0KTb+Y%9dHuNmLliOaFY6g2rIKYO!xI
zWulJ`<Sbmg;t{F^pgN8Y((KopoH`Y^=xXX0+2*w&@G+Qe*3%nDti?2XZnjrB$dgkW
zE@q-$W6LW+T2X1D;gaD=EOm9y{`D(ZKBF7$^#fub=HYV{P>LP?u0!x`qw!{2RLu~&
zCIer%r++20w4F`pT0@6-@iB4@gy%3z^0u9jl?Kq;3Kn^n5pA}q1vqXu8Jt!j(!qjr
z<FH+4NN1XQbc8C`+3w#6RbR&6pV0FZ1x4Wut!6>7u$(j6eX6zf^MI*AxjLCm3Z7@F
z2RIWCdM4IIpqIRK>ANX+RAjPdv3*e9r;e|k2dwClZ6=@Un=a1|<ODL&j0h}W&h4Uc
z)u^1-BedqiyKMKxUb?zp@S*Pfi!^)wBuN>WGqbA;K^0n-v-ODZuh<QqU4-oa?j>p(
zaP{pIr%qKpkknYf_I>nded<Igu<g05gi?8sYDLtN>GX_@sveh_gz(VN+S=ONCz_~@
zl2TGOU9X8~H~IbylO-UsONf+Gn;acmuZ5QB+dxiBop$k983<CUW;(#={6rIjvF=QQ
zX3u%jZWu3C;QwH*;V0CiO>eYQS63%zdQCdG$GdUbr2dqCEboz-ZQS-T^f!jn6fyyz
zi-);}y84%0U@aF`x+GS6pqSat=D8d3*?{}1<601z3Upzm+zm^f;OlKTci=m}Qr>rS
zT1LjHz_Z4?3{YM%F9xR97!I5~P*H&ar5CX>2Ed&grfx}_6kNqp0FD4g@vylpD`OO{
z4xbM!bw&)Jy1N0s*w(%HP*Gu$asKFR3>2Fyi}70cadFgiWF-j+iQjhaoak>H113Ba
zt&P(gx2PRt9fk24=s$u>Pb-{Ym5I~lz!R-lwhWzC<@{tzx|U(ZhYusPN$wR_Xm0~7
z4CKYdDd$fCwXr4gSl7*BR8iMK`aFK{pv`i<8>-Y~PqpROr|L@cJv!KQ_Og*0Cr=U>
zNv`?olib`tDDQ*C`kHGBIjZtlFjzno%S4tJiE=nVxU}g{rkj1HzL6x3-@JKKNLbir
z39AJ*8Qg-vfSdmQI*<2TgE06Mz8fg_uem)^L*`(;khAcGTrqq#K#!vAN=24uyAL({
zi~A6BhEsc+5tp1R>mC_$vB4Z!bfUG#T7UTXai%uiCp0W9A-NaZPtKl2_nscTu|zP>
zy|k~NC{x$t7AWidVA-Zej|*I`Nzw(MVEZyR`;@$*VzZ3yk!Afvi7Af_4^LFMf(Eh3
z{U<1bSHk#7C8st@Q)HJkHT!ccOHXgUvC>D1jFq^YIEVdUX?t(w^5vcbjQWb1qU2<U
z#!Sh5`@T*t!!<FG=q3@B3_ts7A1nJ|dtce!NMdH!!RITe3+M5LX=!QSRpkl7S|kMS
zDfN^3V0R1+9|vrelnfF(q919j1pZB_MfLlk+1GZm;bCFfj|O12q87NDDD_cMn@FHM
zM?SYqIO^L!<3+U?8ulrHR!1GR9+3Nr);MB1N)b+oE-GNob5H%UXc3H5kn=!5t`L>&
z52HG~0xZwZR>!YF(P#t*QtUb2iykxc>C=*Lmnmv$L<#JI0_kp_kw97U!>qiaqS>_E
zwmX=PeolT4ei={`%v=u~a0UH_Q-a!yrCA%%oCCDQcyvbGQ=CacRe>K477{%5V<no8
zr>AFrQ=L|OXQ$8HNEr%uMP(&!*tx*Ux7-4aPYakM2gJOvX@;08o3I&y#|lg~m3~yI
z6uC=~$<UUahVw`fpb<64K}%iz6`qRd$D^u6gEq({;7_qOTqib?eQ3#}y_bL+#~Uu)
z!|6b3d^}l7$^z{-x{p^#R)pmDY?O^%{$Bp1XAs&(g93!qi8^xS%9T%_K4G(=X9GWZ
z2uqQ!(sOv6C>DI%lQ##qgBHRG=7KUQ!s{IQ`TykM-Z0H}%SyAf3u|PEXH-|!rlcJ^
H|K~pdZ02%=
literal 107406
zcmd?RXH-*P^eq}}AgG|ylqQNwFVee41pxs?=}katDAH>H1w^C?QlteD0#X7}LJI*D
zB}x^LAT>w}5Fqpx%H832@B8@1_`f&ar+3EC1ai*KK5Or_)?9PVL)0T3^|SPs=^+rv
zS&awx^dOLvw;_<@&2-1WZvs!;ivusGUpz4Ogh03=ssCu=r&nwtkSh?4dv~7tWiE`G
zI%f@<A0DFdo<qd2Mdx9S%=eRWPuk)`?j-54d~ZIP?121Klw5n~MFjmxdcE^3CwXaD
zM9kKU%=AT|EWhc$>#}?_fW9$^(5zZlFOV#^vA;okv${ric&va}h2OPQl0<N3KAeyn
z8|$KYCo6SV@`P;3*^s*{@w=jqC>Ah12xQ#hNto!-J4l1{F{Pt-cS9kJ)HlscSDKGg
z--w@}Tc*B3&d~f1PHE=yqER<Y<g0NVy#Qs7{;{&Mawqj@Jik(jV~3BTqoezd4xXK#
z>Zi;Zs9!MduO3QEee;ZtX`F`ohW*$HKk6&wHH3zn`Wni6`~TOc)PnV559QNP$kIvA
z*DMTDvE*kyWqzJ&nue3dln`Pjq~RL38WR!TdzFLEQkS7`uF&aZDd-C(pEBp7o~6W0
z!`+=ArOn31mYR~1msCpHZ6r9MtMDcyxw!63`6nm?TJvkvGZ$hZ@x-55ioPi+DV(@p
z#5G?Y-99gGZ+%T;VOI0hLjmeZocE>5Th^{>BpMW7M>dFI8F<YGHk7*AE9>gy-wjdE
z7#ETF`^Ki-WZ1PvF)I#lB48U+j#r4QB>q4Ur87G93X@Q8sf!+(`x+9T!;Et;?w{WX
zXl3tS(?sf_4BqQ4S^Oq%xs5eky8pOxup{oNU~+71teL1U0o5zjZ^B_yh0oH#nFMaZ
zkG}2Am1ditMzD;|nfdv7*IR5*smrm+$;p!TUChz<dGD1C1a9;j8X6dI;!eN1t$7Kz
zGBjk8o{t~m(+DCkzG`OgBX7k@Sh3srjtvf`Wn?JAcfIP&xc@4ipiU9XG%oSHVs^|~
zM!DP5TsDKFsje<9-!VO(P1KB^nO;jvOGrqlkxXeUL%Y@t8ylqRUA9T&)9908SbWSp
zh^aC`1vh2${n}Y0{yK80IObzYuQizO!(gyZyUIuW{2KubYB={2^x!G76?<HK{8oT6
z&b^}1YtaWYyl6*hwOyOy!bMFQ2_Okq!oT1Jk>A9V^h!%h0}!%`iWtgustKNr(=D^#
z$jHbjE-t>qw4eq<d9%O94_TDiqs-0CwG*FvdP=6YYX}5lEmFp~a0z;L(ZgtbDakHP
zRpWwyEq<iS+g!jl<==b0!NI}8ey8Jb40YJ$8>iSM9`5cpGFjKWZ@||R$Xfx}(YY1P
zLLUqY9XDA^AmiLK&9m=s3I7s8Cg~ZI>z!wUQpU^&MzJ3L{&fSSvrDnm;Mly+{t_oX
zn6<=x|FKLk_x+wFV*%SHLfKP6y|&RGi<sl&OUOU2AG-590}-jn-BE^b;vK{_$8_$c
z3~KxcRp)KC`5+hfo=-!jbd0=JX}jpoX@7RH1ice9=AH@7d3Uy*(ilSEDnU1r?aNi$
zHwQa*Mj0wpRjqMHv4ov2|F?~U5ezfxs*)Z5iT~}@?zOxm$MnlKy;9nV-`TH)|1@Y~
z;N`?gv_79)#>oB(7_hY=4?66HWzFX$p-n`F6V6c$5=W;tE+Hi&D;q2EnAujSzf#m|
zkUu~Mt&+i5mefXEGal*|9nN}?jf5kgrYyn<HF!I9pS!`-x8Pp?w^d&-f*sJhySodv
zp-MJkl-%h(D%`@r8zXUt>3PeHX5kgOL_Ps#dShM8!mH83RpV^}{KUJnKQN_2;qUYe
ziu*l@UFDISRJ&Y@fW-fMm+#m_=pO2Vp(?$y_IWw%*r2tgn2h>Z2?Q}qIk0+o(bd`6
zOCd`xuCl!ZZOpLi+_t|2i(ndTru_Ny=kMRYAIFaTdLar7_S?0_*T<(<>THX+Vg=@=
z*(T9hSUH0+Tl#bMhYxbz^GQVivW8Vn%xD+B!xUE8zd8u(lNwz#v5%2x{X^PdU=uyF
ziaJ_y3$P`RIi`z>h<Ia0rL=uBS_#-7xNljlvx7NISw#hb^yLjF)!$({apzgg>6S;Z
zEboHu6buZ-g<FBErnWnxDpRR8Z+?6?6vyNslL7o}@WYO4O`Y=z6%N1d&36}}-`z(X
zq?Ec9z32b9vegR@+Xr?n$}|sS!<ep`D)F4SQ!@<qzPQ^3>Nwos_ISTwu_EDguWk$U
zlQw)V*816)%JF{x{{0@-qRgOpC#ca(lz>GC%8VgUej$&1ibu@}l^KM659;-D^mNN|
z^A#r-<0ens`7-Po>>E<+d^V`s2X1F)*FA1t`1EotSk-`P?8s7kC7a#oT;+;CY;j3u
zm3sAyyf2SgU*AosS=$LJd<wP-^o=t`miHdhiEG!c73gFI7%i6$km}4_eHnK~F_%Du
zi-7WCteEe|s^yxXxQ8;RHVwt$=#=6VkV%trgMOH#TiM+Oj`RK&GS@9MK}f1I>w<2#
zWU7XYnQ+|inV&Br`U5YaG!xf$%tVR)7S)R8OedVLPy_F{!`0@=&+qk8+NZ%GTtf}v
zoz*UE&^!>>9LtSHMrnd|5yZ}pjuI4Vr;)JeqnM?G88y(fWjwaKADr9sbJ~O0l@+*t
z6o8*SqAvAKolFO`NvB<(NrrdcMW_+j7qOolf`S@)92%yzlk_H!4iggpTN9K4*gpYX
zM2|WXl#GHx+q^H;MCz<G+;^{JcW0}>P3U@@Wh!6$OvD~|g3B&myol7BTOrTL>Et{D
zLASfejCz6JDe%4Lfc@&sN}mdXT{fyb_4dca_V)Hg<k5)idMEtO#6ojk{QDLmr9COv
zHPdUaH9<ug<NmipaqsFdVgDsaRfpQM)Diz*0-*m1jCw(94vCAG(tgk9&WT%75}5wj
zPMuh&4RGn>zn#!{JRVqj(-7zGgdW=7t|hH9o}o_h+^HRU-5(~Hs;Vk9y5CtQS#Piz
zBVp(7?{9BU{1(A*hv`hc8udiEb9Bpof+P~j)YKFto1;j%@DVNZ_7gx0S^{F`^?A%F
zR_dAKjtM1SLhwU&06xf&b;wXU0b8aMag)HioY1F?c&X=ba-8s6u&f#GH^G!r#@R7R
zy<7Wsm33IG^8ZfxA3%scOyoNcRdRkEBy)oYw~~XWCQt|tpbv^Y3f^A1aPtW1(Y}Jj
z@3$*-z))LCu$c4E?Z%ML($srzmbf2^J79^v-@Vo=H7ePn{`ilBR8jx@Kekgx12NKY
z>)HlUj|KwSp7c+$^+RxzTg<O%kBtC$==9ML<zH36U4uQLk@!Hs(9kfKUr*B*hC;`x
zU88%oM(k#+zfB!W?glW93D{aly+VL16tbL01DQ^MVVs>8tj^BUKy>*s29uP<JEuL2
z89?}0Zs2X6gaAxyUG9MDHxWYqT!g#`H83<B7#JWg$><5Q-n@B}A>tdP82D*qJXpeO
zNH6n)`!vlj%kdUX!Prq(*$i!v*KIXTNWjjdjjl}jySa}b5QNZo5s+9ugI~JVfYG9V
zd`h~d=z!Ah^Rl(QuW8KBtklinoB&qow|M_00GWQ8U>X}6tE++U`t)I#pqg|32r>l(
zM-C2-<0VXBscum*yZU2*d+ymJIFDod<~Re)0Z4d81@)ZwH4^D~x$&%09Pi^Nw;#d4
zgpc13rG<?1w|%0Fz9*7Xxa<c&Ie-w_n>hOIv<LJJpGFCq5dr43br~2VlUgRcVBTp2
zNE84Uvt7zP>Qc>b>>e%EsR)-TVB$|VZr-HqAGEc-m1y1CABB%k%2nf2G?ALfTeFvG
zAkF`HsiWLuiT+V(-z|u&!XL#B5xASwW#H`#gO!Y?ykH)2*N<+;5UH1zl{NbJFYteN
zP9fy#P7unV*q}H}6nHMD%+WdNr27A&OqeLxdS}?R7pQCfKddN*fBtj41R&gbs2`$$
zIX;{^!gv~hn1|oQ&CJb52M5bRR&SeL-QM=gdBpB)MLprg9@BWauA-u%tlL-&v5eo!
zv-JTl6j>d<U{)WrI`ylkr{@kE9ra8cJ#dHfxRqEA*~DT`8%HzU3Fol}7Hiyw!A#jm
zwM=R|FbIv|>7#S$gi^|R0H*uZU)LkW4ZjAkb{<o|RN8}2URJ@jwzls!{@e5*Lk3q3
zyYPO0kgnuclz5{QjkVB)!Dqey`xv;@MakAY$9dD-u~~CpSpnOw%P<#w`cZlH;tFsD
zYduZg?-u{|y*JMjsoxBtK*2Td^#Ty74+@b%%OxyVpX&H@{u}tu6IsALJVqHrByp4;
zju)no90jzHiIZ}Xmh9APISoOqz(rlW`KsM**aMr-wh-6CAs}nkG`Bm3YzM(S3<b6+
zSlLUPFLA+s2;ZfVIug{m6I(G|`;rOz*GNz(+;?vE&!49%**q_zsHeVYpxXC`^-3>N
ztJB0KFi=tZ32!)AE?E=V<8b1R`0PCOtnpfE5c&@f6h0}a!sAVF?o$>ni_{Mxx>UEk
z-K0Q$?}vA=J_<(v-$#6ERV?=uKZHVo{mSw>2aR8A@TgOgk(u!y`>1tP9xKt)9LOi~
z{n{W6Q1*lC#l^xOLGMAm!v8kxRTmZ(QXS?PbtNH;_d`Q0j9`|5i|8(`!wkvY=NE`E
zDNsH=*SZ7zh>&bd8Ui88OdlqCk$UzQS$wmqSao$ZK+_!X8}w^xTD;**2y`r;6W?PG
zZrny*uF1%x{ea@g>9Xh@T71~>75K9EotknV?H55V$ioYLc<o-r<RemtA)G4pBO
zRW-7I^|KhX4CZJryf{Jqpq1SbmE_S~**mn5-XcO}NFd9#bj#fg-D@RDb9avg@#%xz
z!+MhXfuGrlZQ}iEt&tRr`aMP@Jr{1RAxI_Uzs(BaW}rFnmjKr3Zu~O0YucrJN#*Ih
z&O2W_JKan<iO)y%CB!WX4!#sY)YjG>t*Z9-c5M&vM{)69onBA!u(yMuhp4C)c9ecV
z@p~W-ipqk5f>eeGP@)A+J{wyDQ0?c>pI3yA%-_IrY;O(ui2tFk?oEvg)D_y=Hxree
z{Y0HD#4Q$bsI;mS|9Xx3lepRcWaE5f*q1o}+A2N2lvE)?MeGnxtrOe->|%^fO^5&f
zeb6VRI3d^d^XG%yo)?_<U(iR3e2$6c-~mI+3pgA*yqND;lqASZ4-(q6hrD7jI(QL1
z5P-F)7tbCTVliMC^vy)44Q6F!&CNLuOjC|172F9L@~jES`W6;CY%>u|y(T$N2}6r%
zg8*zvOJ7HtnV1ai5XjT9Di<RW=)vNuq;^j+U#_j!BpqE{#`Pma1UYwx=HSf`s8B2{
z@C<9QQl)%R*GkTRnye)m5=~M?selpdzn1TAX1iFCEkvp+dSZ*RSuB*RM?4vIt?8Rf
z(nQ{AI%1rfX|6Q$+;9D$=({u<u~YatTUJ5wbNJ`ks*fAR(Q5;^R!~=$ifp$!!0Poj
ziu*-yiY$>YrS<+MNEsV{aLbmv6H0Z|(8-sO5N2-$E|j-M0cLJrTkkuxzD$%gT%=^A
zG%^RKJw=;gRhA(ntS?CXgs?%mRWSjEg68QFujO~@FYN(8eT%sHhi=mP*C!;4kJYBg
zuCAXt?Yb9)!kMqKslPAwZNvHqPUn*tcq>k>=(V-{w_eL7OyluaVJN0={#Sxcd57YP
zOGIj9BAALy`sO!ac}zALB%i=QoO=Wle43s&h@kqX{%8@qf&KVbmAbRiV!7#-3zO97
z#Nv|B2;ynptA*<vsdXlS8cCX$w9wQ3OC8QA1I2~j|1LWPE)z`F)NA7!kleEKyOzfS
zHO(nPU!n7;%Phjzx5Xka=+W~gF-1L<_4Jqb^!M_TqI*SyJ=(|3G`UfukEbZXC<D`r
ztJT@6m$tHGH~kFp;cf14%en7caKaV}{TPKGcHICG#z(1%ELZ2r2FRCR?{983>~wVj
zjIWb;PcyB3+6jGGo`<?&<5Z6Ao%aSQZ2536WIy<D=vz>a1L4EHHwaR`UQy7Ulfn4U
zrAETLjXVJs>G@e#>^*i?3;RHE0CF?qnB?0}8M1Dhlzot|w#Mf>7Jy?;P4RJ&sY8$R
zUu))h95)I4uB@cQS&-%OMS9-wchH9??lciB%^T*gTUo$(!-@U~qBmy&nb@8xYFYat
z$4FSkuZ2&;0>06IAf)>9l5)z8ml6hV5tFVKS*C2MX#A5WPa-L-NA}bWg@kwsAaxK*
z^78Tkb@fW=YqHRv#JQ)WrVb?4*NJCKD!9e4RF{oB5FqzXM@2;`157p1m8H0E82qUJ
z*F8>b@XxmmQN@k{lk>?aEwMjNXpg!eKewZOwaiDite%y$+W1gKUOugxXc(j#H@V3{
z8+}JyUf#Iy>1IO|KEU1{cfPtjV~j9v()VCOkzp;PU+_O-Gfw!}-lL*^r+z2tGc9s)
z5lo=`t2v*AmO0Zx#kDK&CL>{mIKWP!&?iw_Bi<iBKcTW&iVd<<>p}dWC$_DwBLPve
z6Lhc?mZbxXu4u(R1|R(U*T^T0q9#kB@Pn<=`oZ2roO;2yBiPIF2F2cMGo4;mD)!oU
z3fhK@<Xv#)m6ZshG3<ThdfEWgNPr6`KlSR!eDU#+kcWI49wa<!eSYNL1%2=O!0qsN
zHN>*-siKiq4qS!|b8jfPe~P7UD7ev<BK2FEAAcdHJDj<M+UV`ob6auxI-A(zo9z*y
z%(Brrq0bx6YAyeBF3@t=P^WKgG;OfFy!@{4CF+IC&)Hw{xSEhaMGA7|;^Lx_d>qN#
zb0krRL!$~ap`4(1`C9lF`|g^urpwcB^|N->Oa(A{Xmj9WTs%BYZt}|1QN|zeHZzv<
zX_T5{@PRwmuR9}0Srv!ndFvx4syzad+tNOlMHp>(Cg{PZf5I46C$7Vt1gr7P^fN=R
zn7(DDo#nK*wzl^2^7>6aN^i^jC$@Qg!2OT4izUY(Vp_7gbn3DC8t+?EOgJtLvrYsc
zujc(39uDS=Q_JCJ9*w9Aeixm0izpVezpcC7nB6|zHhpW6bTqTsYt4*E{<qaNHL|j@
z$5FbiZ~;Jo6fzY)ZIp<OMgLqI7%d;sfmy?_jeSmvh~x^^?ORep!C%&f&{YPCo--XE
z2}hV^-2MD`WXF;Yc|X|F(v;t881*H)n+PYw7o)$Rr!RvD<ujy+(jNG*t0VMOQ|lk5
zR8NymG3{Q02cVFf2==2#>vV?U*q->{$OuRWAnn6#f&_B;S4~Y77Pd+@;Doh?JOgr-
ziF~n3x=HS+)SSGIaB>lzKH?k6x4b&@28m%U>zBrVy@4|f)d?JzA2W|O!WGRwWIz10
z_PDI{$-q#i^!2Q_210Q*-D^PvHnfSZe9oi^FPg>C<$Ga&`*a1Vapy~Gr2$<+{#;8F
zC@a9)Iar+tb^w&abwgrn;^)L0P&$HxK5A28c-pn#S#Ot*(9<G7I%{0m3D#2BA9{es
z>c4o-bV9EU<A#i2f&RuEk#w)=Xo4NQ6u1QLX*a1jTii0C?-5ObW%)2g#GzZ+QD~w+
zp3xfT$*KR7&7+I^y>LJ&v8&@&$PpNRP4{FrQZ12B(+D@TP!@;2nfL%duNC{t0C^+n
z0yGcriW%!P`-<7Cp7=f$H>oy%V6|C2>60|+Z&COZSdMxVkiTMT<B_lRG@}FUz76!<
zW2iIcF@B<>Ac!Ic-ualfE^5xr#pTUuFP+^~F0Pv1dOfSYwN(>sUN&6|&@rHb>fJ2<
z+sPn2G6L3{?euxUoA&EVU(2OL=e#ga8y1NV;dyumkYa)J1gW^8SfEl!vnGX_rQN}e
zrH+yUK<hn4>Rsv>KAO)01F*-_;(m~5JP(o!`IEjaao1=r@f(_EbWgv!0;rruGN>z(
zK<R`waUp$=0w9UXh$D#l#rjlcItJ8fRBi+~RxBuFfOA%RxK6LyXk-o)zFW;t9bOMY
zkFLTAb>6vXuS!WtOm#H?8v3HC5lnZOrq*^kJGE^d0>nb!!)6V)0~HQ{Z9TaE*6Jjf
z+XI1a&~mujW>Mw~v$D_}e5`ZTwh(I`+wwT)c!nC(wHw<o86X=YA94^>Zsd$M0sSSg
zW1}7QZVjPtuzJ`ZXsQ<)zMlf*$MgT#UV0E1C;Z2LM6=aYSDQ?)c6G%$q6M{N^S@b0
zWWU#=hpl~^nG_eVmk+U(PX)MS1VpM^A=A$<BoqFIl=9yb(Z=tO%!~-tggpxgNUvL`
zn(@VYdF;q?;Q)!)oy~LUl0ccPu3}MA`)F!2Ok=^ckF)^@n-~f2_e=R(F-ac6=Z@O|
zn8yA((o}_d^)pqv<(47>urvMEjkTDhisw~K)}V?p{~%TnX!!&m#q_CfPH9r}DC*LN
zLR3p)B%pM*iwJup8cK&kGks$Tw45}_5bdxZppFNLlRLKeWmQR+F5xG(DXjb*ly1N~
zf+;Wtu-M_h^-cpS+h6A75w<^ffhO1}S@SyY_iB=|pQhHJyP1G3%D~g!PO*!7fDS;K
z$*vC8=pXi`{M3QRuP}{A_W%6(MwRj{h2)~R<$V1kvVm(VODk0!9BOJwdKskyo=XJR
zXMJmTr>8vX0KfJ|{|JC=M!8JAPA2+;1T2d(uTvPP$p836{mp}-xXGflL1>P+ghWnK
zdS+&WO9!ghQy(WV_lM;ws|RkQzHP<cQVzbm{(mA|IhceI+5`)jyDYO(0-4<4{#)Pa
z`Ex!kGW1PP&tv2t7i4{_vsgz{aA$|}*DcV+YFYlj!rBWV)@U{{i<nQJ31k=wP7q^_
z-r7JG50F5)*zdHVu2zLd5J8!(iS!^Wtx)eeG&csKx}KL*XC|83t~_xW=dPx%&WPfp
ze%AalH|jr7eE0u`;7k8YUAw?ayboqnE)Iph!^BJ<;ap$=VW&F^lV2i13#-4sA28wZ
zwWW$GDk`^bee-F6oO*TCdmSNfE)D|*hhf-LMtn#sf=SRl^RISa6@d)s(1713kNI(*
zr}jrf0~Zz+oSmJ8tB9Wx5E~s!?#XiC8p#O{K!O?+0|KadElL{jKagf+up?P(h?AO!
zOY5TH;s_nVe-oQ~0MmbTI=-xQ?Z~O!D)5^D%Ed98eYD+9s?u%i6gX-FRQcob|Fvbu
zlJX1Dc)87-ta&pS>U#5WxuB!&?6~%zntQKGRd<ljTeWq_Ii4d#;|IFg2;#4&nw2<p
zTgSYINu+uNkt^5*g7EzBDsI5A<p&H7pAN?!Ce^&h7-gXbNMWBDn%Cm~vqCPlnjgPc
z+LY{TZFpHA_GtpijWzS<2E3`qfy!%kU)y|1&4EifNeUqc4SK+(#9TYc+)YMVfT{xk
z$dl6^FoAxq{~3$2)2J#b+2@2V8t&(R8xFz|h=WdOO^N~}3>r!uXcP2P0KxjP7!o>A
ze(L{0zxj-IXcL^WX?eI|dD!Z<*Q!X^>AFIfm!!HTsk%0sx`zwd!%+x_2N#*{dVl>t
zT7a86AS{Abo9cF$szc3iq@FOC3Isyy?6CRr@Ecp>a%9MMWPHdzQDv(xK6pJBKa`M=
z0GI&SKq-9wN%n4=VdE;w4Gv=U#qLs_qiYcnIhS6R^*gB^uBjgW(hXicJRlrW%H!b+
zJ!~Q5Kmr9t*cE{-+N-Rk*;V>)%=iEJ@q=e4fyda$Xgk?*C;4t68+Dw}Fe#~P%RKwD
z>Z-dv@pd5x2U|^tv(blBx(D}Q`#Fs8*-4&5KcA_QI#0`;HbV=)e-R-&sUbV$!viwU
z;R;Vk^)xl==w5yMNlKdw_bVm(Ts<d5z32CdZQQ_|*8#ASKHW+}e9+X=q@<*z>XxVK
z)<#*#e!Jztt)o4p{u1qDV`JmuBBGJF@J6r5qAWf>9<wB|S8{ILk+X$|o<JGf`X=sW
zzBNh?-hvkd?-qpYk}MB*Ynt{KUoulc+eoKL;QsE04+i^1*&YtdOED<=o?yBfkyQiA
z2VS~YcLwOj>EvJ29L)C@L*Mij=&Ek7ElvE0hQ8U^*`Z0Ik`yB_(7qgXwOq7_Qm5dh
z2k$uM4V)`2Ic#>%OiR0z-*^14_nG5+Gc);204suu64d9=Hy|-8TW;@@LsT;YvmIqJ
zy7QY0tYg43pKkfhK1m4%eV=KMFi|QyqWchr1<Cu1BwPGuiH&c(sqLiGEXSqSR>l2A
z1Ek}^7n&11&KwV7e+>}O7LQVL?5_gQnVAcNy=`2}BJUjlbMro}bpu5{$X-1r1q^FY
zI$t{jy2pi2b+T1DFMx(#=)c}MuM)IE>PXg@@0@i-t+ZuvKVX1;xLW?C#y-Hg?~NBy
zeWH|f&Su2rsJ%AVUsus{KTDAJlcB|sJ62nuMZCdpWkS4>Ivf%7&!dOesw>n3*r4nK
zZz6;8PcDxryiO1ce2}J{*QD#SY^5t<8MN|4EM%u06M_X^LEh^kD`i~HHe!Db2<iZ<
zgNK|mv0dj<BG~(Xaf!_~?Dcw-%SlUn|I|l1rYm1uq2kWF2UIQ(7b+b{>t_|g^y=g?
zWXT5@dtsr3X#$Tj1weBE=j!hMn9hB!7pZLNcd!SV>)qsojkaW=?uw3^K!=bf+9BKP
zCyTYuL%-KpFPf}2LA}4Js}ScYw*g2kP+)-0_#&yvV|8Z_H2><%R5GcX_BH5_u@zT(
z{$s3qz^znleSPeMDLo|3hJBo{66bs34%7Xfko|#>{f_Rvj?sd~l~^}A-r&`nAs*t%
z%79rC3g<5f+<#G1{kabT_*e3a)in@-0krV&?y8h2cp_lSuWwo?-k>BQ;Xd&_>h5O{
z&Y%5FZnp(J^q>8OHY0(j9K(}cWotoH1kK{2bIp(QPMJ4<6-w45!^wdWOxctX;*v_^
zmoLk1hnsHDH^3S1h7~Rd<T(n4zla%JD}i+`Nq3uoW^ga%9;XEzrXX?lIVXY<b8}K0
zt58!>0X76ToEGL%Gi+{Y=_Zo_^35RMUcqw|_zh?g0iqd52sA2i?*TRoy>?$yUP40R
z33kD4Cadx0cT(lFZHb5JNu++AnO(rOPz+bgc|YFoJo`O7@Qq^2eQHc%3t3@nqF|ax
za$SJmR@wW<2t!f*mAYv;y<X}HXK=VBc`R6HYetM<XN+Mo8GzYV<J8~C=w`@EvdtQj
zGiy{B5N6dv_O@7zE&8|-8nYIe-vQJUyWT#%I@edQg?-!D?<687c2mQ{*Yh9%8$AC<
z02%l1njnB^&M|RuH#Dvy%^W%ht6Ab$)HJV&8Q4evm`IbfKV^O;G}qSQ*xty<NZ{BS
zVxb#UPjo9Fio!rPRa~_X*|cxkgf&$MuEZbA#s_a!X74W&4i*U%EP=9KpsK8(usdH|
zmhY&bti1n2EO_NNOceq;#@Ftt%lqPHVpu9jwS&^#^)b#LO;0}#{CI}<p1d}`;p6b)
zWt+{1U5h@H-3=1B+veE{eCd~!<kX?Kn(MaguYn*c(Dh);0ocF2y?yRm(63o2KJ&1R
z(Z|dUW(T@;U~lu7Sc2^t3jbM8r;ir`T?WT=O#yIQv$GCZi-It&PzuOGK&WG5Gijw>
z@gSszu-8clq6`xbKx9rO9BkIOjnujWKVb}B4$I#De)F{#SI_M1EWTr5sK2hE=fFH{
z89$UyF3<x~o5<g^W9&9DD<uim@lg=Hw&wJoKq<2X<KYkgZ9=H`7Bc_f#`k!?^v9l!
zM#VhsaM|870Xk8$+U0v2_a0X@G?cK-6ij@1F(4VyBh{#UsOh%p0yfr7T}05QzzM60
z2u7@hn8pR1JMcX)f27{ON)T{$HDFmTYz0Y)dadr9uXFI}+OKFv>>Yyn8}=97Y63gC
zL&Djpp#}V>w!v8eprnjUwWuh;=tEh7`(xPkdwjO-8@p}4u*-KNFFvXKy!nRQ(o%ir
zJQV0}q_nj(%$jOgvYCCZM(t{PD`W*X9o}1`laZ0>jo7)U@wC=gEtJY#HdKo@75@4D
z{lvw&?6J1CHo$&**sIgcX|fn!j4~+bD|{+w-;KE5avbu-4TN1|OH0cUL`__IDY{jm
zP)O#-G@jAC_Qgxlb;y#86b<+L_wV)Eq<LjnXJp5=8|x%1k!DLBX_Ax=L5+->0^Mu7
zdQQAqw5R@|l5+GAdV#Eci#~l3JG7|~I^J+JOICIGtPe()d3<=Wn#sC5Pyx^Cefct|
zGq}rd@Wfvu$vLE8-Unm()-*L?F5POK$%|aPuA}uo=t1qcY47Rj35UaT;MWV)heGzR
z#a8vgXgxW^v;^$!?JvEBe2IprO64Vi8Rq8ZqN1XX=q9ByAk1o?Zs9yEF(`%$4D3Hs
zI!9JSF9jI1MRpc;rB4MiUTWMb(Po?JQ=5!>tI_w=2xD)f${X(H!XJ(g=&tm8XhH%A
z*Q?I6m8ZRUfT#0;K=du&)~zxzSyL!*O;BWf#h->W|1QUumXruDb*OJNZj6mM|J3A2
zro2qhNOX2}UGjk+gB;s?2gt9LaDlC7(wAfL41iQ!tyuB2(O9rm{Hsy-Z+95M)6od3
ziE<)CrJaY#QeBY6b6$!DkGNvowd4xDHtemS`m(?Yl`I`~n7R8ZW)7Zut^bXwlc<|p
zyvs#^qy6;ugH^SkEFygiK)H5H<VQ5e8d5I`!uX60G?`nyM}gN_rdFi#m5Fv>@btV@
zdibGdn-QQ<sp5PqL`JreB<Ej=d*?Uc4k)afE_r}|3B>y(JsB&O4<Ua^U*mCm%#3Vb
zd}T;jbGA4+C>?3a4075Xd~H|l7WhW@Di#^cj1_441Tz5Pk{p8|%^9G6&=t<^wygJZ
z1k69n33pCY7{i@MAfac<t-P@)1hx4_?{sIeCsL|&FfjPBi=wNc{7FJc?+>7zg9qCA
zEY6#Kou%C9EekA@B^JO*PukMeRh$!E2Vl$oy_f!Q0y54n+3JNE74`$d3uw;rY=0c1
z^3CaM7JnCgQd3g{v13aKpzQ%-ex9Nzjo-uP91D??a{o0{;}0(ows1I{VF|WQTs85#
zZ7vt=f`G4C({$}p#{%fJA-p6)Krh{(co>khO$xG!-%sXpSzViUmUkU+4{LX`VXP|v
zM6RN796nLGTkXbq=<-h<NN5M}vC6>)%*lA7Klmm9qZlnRT`)rLv8j~8d#8oCN74=H
z%F$>vkURWNmy9b%u<EtlD|BIb{qKD+^tiYg-7+o>UEMba{G9)738=cj4hDUW&)Q8D
z{S+bNYx}b2>Ln{*PG+jW>&-;TlL%0o#!Wg~)Q^~bASlm*$~WlnH+8)Rw`@(f)JH0=
zEggoJBQZ<Q{X+<#po~j1t#Ne$Xw<cvbVVA$3jO@|@vx3e58T6JwUM;8(?F(l#T8rQ
zwzo<ps=h651N^`k_j!x5k3=GiQ9>HmAA0^;A}X-RgCcFv<x(VVoY1koawNLZf6We%
z?Su!_F1#j^m7R8Lpy3@h^rWiC0Z`1HYPr<P)qFsNH5%B&I2r?gq?rW@K|oBxoQ2P{
zjLz&G57Ke(@Ix4u4b+6!qAP;ics8a;1Ob;$r{4LD&zWVb0yL1&&dyGNN+Y_G{e-2u
zI2;@JpO>(jctYQJ)a{KseFb#4TpXK;r-uBkoj>$IU1s9H*c>%#ro1)&dmj{vP?)HQ
zx<Ymv=Eiu&?VJ5C%B3wGShxGnfClgO<S!G-5Ugx*kGvIRbE7ZsnV!JC&wl`EVvh6I
zCjpS$y>?13gG^y0J#BK^2}0O;cXxq(G9kC5^TsgMkfCiWIW@fsc2&svpyTIYrM<tw
zF-S8I#Z7DmJtdnG5f-X=S&i#vBM7mw#q;AZv`Mu|uzTQGHR=UQ8hXjQ{1(Y@4+!Cu
zx3#KAT}>Um{~erbgwk>4wMq<%|7uiMhj7~JvW%nghs%tI%QYdC8p8gPFVI)$B9!WC
zYd>Vw2k-By?)RzgG#-+g4oI|*Zz4KoX6(ua+D$zb<`;DWM4ikZ1Qy?MrL?sdC$|CU
zL2G>Vb)?=rpqV=DJV)KFQ8v8c%StR@xuT*@51lv$0YW_X*R4HxLN2o5mm|goGrEK*
zbCJ3XL?aajjzAo0X++o}ZR~;`NEq)3doH@V?XR-z49mCrRuc}Kgbhb?dDWrr7|519
zd*ifC8z{F$ZjC-!o)a>cW2sXG;)m^W9!h!kc2u@s(dCsXAf&1n4-t%8GOZ9sDxFtX
zl&|S`TFiCiM40Ne0rj<7?)m$V)ARM(Y8DC^AkAx&8}VNmcb>aMpyN6#wh+fB!OV<=
z>3I|R9&2K!$9HmrPY&1ALz=~hF>}+VZzs3eg8#8Kf_ccttwlF&M`!PJ*e_u|KH?AB
zZsB2t1_9Uy9|H3L3egIgnt?b{9Mj3%Sc!$v*qfj)G3@~Yf|2m*FQ6q+OV0;NBp{9m
z0{u%ME~ZK-2LmNvoH>b1V)~{s5$F(+bPKa^Ua33KE5J~5r%_B#U<1+g2C2y@a2+1>
za?&ZA=3p)RaL>1iGOAa&9_tna>d+M))q|CIRliP9-dgZ}4>=%)sOZ1+^T3<fbX*JG
zv?pv}WaR+Lj<f^$5abrnA0e2V9E7xY9ya<1IyySKx|WW*GS*8iJYj9n|CBd)&9MEc
z0P58hxpz21zmqqhDi#;Yv6;gwdCAF|(<0f-5OzIECiKuZWXl)&M)hD)HFyg{*#80x
z-i{10qLYx7t!WZ_34gDr5O?vk758fRjRZ})uf4WFwnYGY8?c<E-ca+R59LMraewCe
zU2$_&=*D0G%xEc@|7PFo;hm)G1V(+B40pFqcndZ7yeL;NE$%-z1p{f&pm^Ff@Eg5(
zT&ztvQ!jrRNfGYmGv&g#WJo*y_pg0;;2bhFoQY?<nU>qVb9VMKlQn>Y=Lg0w2_$PK
zB)JR}=l_BiTrGqmR}r`ofR+(Y)AIq`2hzU(&{z=GqT4`BHI7fiz`%f2(JH|D+jg1T
zoRczPioSZ-!Wk8)rBzv3Dg5NJ8i>?l3k~~iyNr1W^&i*`O?flFuhhSM__P$E2uhom
zLA*few6yNdDOTETY8&yTm!J20#OlLxBcPw5_TM6$&~1;DUUV!-Hv1}Yt*G4#`QRKS
z-O_Lz^!=+n=RDTtGu<8@lqN4nCHcO}RFn*y_<mXiw9l9C`S|z%kORUeevZtYIW|(#
z?^K|h9h{k0g~htWNFdu>0|>}y+kSGZ`^citrEng#Qj$gOi#q}=_j@MrdrK?P{e#x!
zels0u1$(o$C>OK|K+{w?QH8P>0YOQiGIw#4_a5^h_p(h7u@rAIAUZ(vGXQ(=)a^|3
z<BD!C^RfY;GzakT+RQQR-fBDa4e&I0%Ikth!mJ#ztwm^AwizuoB0A;U>$btiae;Hd
z4K9I7%PSU0lHThScuuy)Mr0vG483i>2Oxf%yx#xeL;B=!ninX-)>35WHUb6|;K~N0
zYb9MQr7ms{*8@NYisi&tq*f~McK}i*jWjQvxPt~iY#qd@Hj1AC;Ql<gy-nr#Q<})$
z^>wfG{DD&QKvboJSysx$e<oJn&DM|K^g`oJU@F@*xK@?pdx~Q#ab@sD*x_FHVbIR%
zbfo!OgjmoWx|LF2EG!%OZ!RW2J`hne?{AeD4$Wg&16_r(KS0p~bQ2$ok3*jQ1ZJ@>
zAJu~8=0Ek{e>XW~E#Jk)n$ga7ANKtDlt|bXiR*d)7|ISg`6g`X7A)r1YnS&xQ3crI
z0BqOsSN7_f#$^MHKED+;5)Cck-ma6jiv^A%AiG10{?-lo-*-`LWfzzpX>Hd~(GhZ6
zlF0Kc6sTn|_0((AM1C96829^YA9}bPsk(;-cL4~oKeQ^#FX!gwXvMaBQybT1L)K)W
zZ!C9_mH|b_R+!b))Br}R89v+cTSsTN(NZw^6Tg#82FBFCuYeg6TEqO>3IuM3v4><#
z(t87^folA`sj1tg7)t{0L)gDXZw2iiFGW=sHUeZ_M;;_jA><EDO+h>WU_J=K&I;l+
zfYt>&e4^xPT&04&*Sixa>w><h$-i<Yh7%Nv&)BD|i4pjbs7@e#x)^CGA9}o|o50kx
z*WR=@*d4ryOtlCYz>IBBNjpFuh4?h|%>@wwkGMxvJw%GZL85)4y72^4AkL)M1|T{d
z@#fPkC?<iV(A*Ecnye^Ek~<fj3mU>z!A)Y}U+VS{_LY;yTiNP>Ip{;~LH}xV*CwM4
zHZb6a$(rwhRs3%)fP$!anCrb*zRksN4B^tZ=-Gx*(bhyTEO@R#?wwe;y`br?D^k0y
zXTNwB`Jn9|)YJ8wJd$CEo-*F<ExJ-43>wjS9yCfelrzhvq+n_)pq6J~TtGS6@KFBZ
z!kK`%_*2_417`JJb5w$mG5?_wS}v~49K&kiFaO1dFBT3%Cymyn4#x$O#(q3@=Tv|E
z9Ch~96}rv8)?i_Xv1kK2E1ur)4$bS_Zu5a?6LVwZ1XGvkllexClq5_gGLhes14!j*
zA6FPzSTxp;_Dq|Y48k9lIp;7F=^0?{lAi$id(O#5QVDd%FWbZvM2uX^<}fsMl%;Uw
zZ@&u(ZlmYzm4fHrKPD$d$<FoOTo^pu$v)iqep3bTSiur!S}?l)h^^wL-Qw(n^@1JL
z3$GE-=4@E?&@PzN;9DRyK?JWB3KH@Cb+!VPu0o)MAG~t+2Hh(FtqRBu0Ma~a&qudM
z=3Pnq4yEfJ_B7d3=ETXvcdPKStfr)Vg7nTOeN87+09W$8)FLFHc#jLnY4`bHT)1RK
zRF|zD3Yc?Xs~gS6h9+`{dbV0ya+P~2BsPB24Oq_H<pg@6JOe0Qam-JH2kZhq1FjJE
zU|sZ2&?DXNx7_as_mLg4mO;qO&UQna7~kxmme4(l9sl0_a3684QHF82^DSjr=!*wP
zY0H#$nKQoPe+x8;jS}*?NTwW*dd<-{pVV@{)(ZgWP+}ykDWKmZR164s<fKlMqIsLD
zoqa9npd9S^yEzKPO~Ozc3*%k_*=4a0wY8@`w%o*OR0p3ca7=x-s5}+JW5i1iejeWf
zgut1x(-o2GZAv9pFTKKnO!ls>)7<w`W<5IIJkX@jDvwEKn)ryfg|OEipG^eHEy7mg
z7M99@?VA3(H0OhXzDd-XvWU)YQ!w|$g3@4bb@3Np(X4DFTYa3Ty;Z5eJ^a$rvfwG8
zFLCEAuqbQabn&&3zT`48sx~&a^m()TiBN1zjMB^~2$rCiQqXsayio-nh5_YiSgg@t
z(1Ek-A$J}#c#h}Xve1M(pGF1H+hVa<d>Yke<tC`O*jVLHo;gJSMsmB$^(VHYlqOpp
zf<6@JvwVl$+PP3(3-=66ENOM7o>HV8`+t;c#UI9BY(DS%%tgmN$r05T;lIV}S*B#=
zoqhw>x#k$;3;0xKG>{eyGpxaWTm>xnvXY|z>eMjM0yZ_(Ry=38KUv#rGDt3zLWmLz
z^79d&0~?Ymz@rMIO0&<f5=7NON|i+K&~azqL!~cxAB8Lc`T5_*NHmgD+owU}0OvLX
z6#QkDO)5=0Z{K~>ycYg$c-~qHQ&;B?l$VhkD)02bO?7@xEvqj5zR~DC*0C(;-ryr{
zUYC^b*gd!ObCIjbb_5g%5yC%MdQypD(fv-z%2S~>HixRUeKkXKQzBx`IY7pqmDX<<
z{Do*Nf|O}J|EXf2w=oe<r9yRKoyP<r&7N8U(#p!%ii)e#uhE6#g-p<?%%I?@KZQ?d
z`~8<bPObUl+@BW+_5D#<w(6Mk4*#-n>Tnx4irbiT%`l*zF|>fq8^GhKiBhieCQ#1x
z2BydNSvzxq(nYNkZRt@1hb@9U$&FXDa&|81n=`v0CS1~;X6B@HE&NeJuC+ZtbZZST
zMZ^2|F;IPPZ$($zveh6l_fK{e9ttXO$l+-S=UK|b0T8PW4=PnDpx#HAo0*MBeuANZ
zV16AGJaFJpLEV5s^twOcXqzpl5GR@PhIYVYkzbwt9|x9rA`lQFUe8?;`9RC7dF`P9
zRXYU`f@@6%UsO`XBYw_5MH^wsXNR3oY%&IY<?f`09Y^hrz^=_1FM%cu&DpVDK%E{C
z7Ri@!vxnJO#rVYHqKmW#SfBzj^wuY5dG%^3L|wYg%JL$VpVN!|{E0BRkM646a+9wP
zm`*BReLFk85?afZ%zMk@QIgfAu;V}T>CT;}dzsfaY8+U&REo9eFRmF03<+s?BsJQf
zwWMi(7<^C^K<*FR!WPY!k}+GsO^-7KO0V4J>~(WZSfwX6U@(DAJYnD-4mx12%|5T(
zk~o-?6whlh&2~4iUW)hf>bUF(9vael`0$aYJTYwN0P%ol`}S!e5fKr96mN${8ilKI
z;(EBUJay<2Y>oBx({BJ8HBK^{FPbjr8X*X`_i(a5k^*9`gefhCPlM-h8%Hw^`Z+G6
zv3H~I_f<U;cet3YC&fF)j5Pe5^jNAGZJq(YnrSF)e{k(P6O=B;<^!L`zZY`c@v>4<
zoM}Cng2F-p_A{IFiMLd)+TXmMdxgzYQ?T%PYv8K@AiPW%*}kSJlOcU3tbN3Zzb^gS
zXUNs?w#5fOPXFCc8)$89of!*b`t*pO?rLVJw5JHe(6M_tk3MW(a}k6-@bp|O(l1UC
zG4;V0p#d)d9<LKJEd3)TlHL78tG6OpnzSZQ)5J}8D(vO$+kH|{y3{nLZ|+VH^T#s_
z`sP3Zu(?G&$U|tM)OL~eiH{0-dW9HrBL#5FDw8pi4TBef(-#+$?(*#ZZjI$&d_g>Z
z{5Z9_xUth6au6fgwY(D)&IJ9*AlC4Oz^1bK*M<uDhlYoxwMnzHMnD_Ur>hDNjZJIH
zaIKGGdgWM2%<badZaUZ~gS;5?Cw7*1`V+H!Th7YvO^byTl9?RbK@3gHPaE7!*Kka#
zD;hu3{87)s06Et9W%A9#wv$)8XTymQ7QtUh6S1b?n`il<bjH=rgWKD3yaK#`AE}IT
zt-n0xbftG_=&iIhQ7pCn><lH#$kwi#jbW%lfGzs|fHx6g)W&|1zD(l6h1-vKpZ{}_
z+?skqp6O{cJT0N1kgikUn<8u)UiX9MiZjvnuJ=`z{KX754JYmk%~GAC7~kRQ{d^6Y
zh{j*Pe%ZFC{3~k=oBtQdbMP0ZBIEK86m@`%^(SMusLjZ&5l>xsrH4n|$XgbndB1<s
z17>SsJbNE^y#Owy7LV|)QQ!TI0fOITtoOq5&#mOLpy?D-S4THD9&T=x5f|eR3dgq-
z63#<rmzEGV8DnE(^C`1m`n<8g3u=T-Q>10Skj2m=!#6MX_V!NHFXerD=p2adzg3_w
zr6C|lOBdPV`BcFwMqiMHH~bTSdOp{P<Q+ih{@#0}3A%L|>FH-$9MCS%H{HaRx7G~$
zg-;=&Le4XSG_Q&~hV9}qk5QcJy2rkXK2zoBkh*m%@z?WH?LP8MIt+b1Txkrsy-XFx
z{HZn8wxzdtPq_2Xii<>LxeP1%EC5$*l^SsQQupl+1dUuo4mem`fUa+Db`^Z*Dgw{{
zkOu9u_v3sUa<Nz}aE|xC8a9Vus+7TQfOyu%!x)2C-)HZ2x&?b)p}4uasw`IZnGL|F
z64W;_D=syoGxy1407;ub%WEARTU#NM90b3E9U_&a5HYRp;4q4fWAZ+=Y++nc*YtPn
z4UF@x=hSa+Y*|^^BYyU%@JYEOy(R)r)V=4%b}`c)b)WbcI#XY8#Y#fHobKdzvPeWH
z7u$3Ewl>BC?P9r6$wB*LeKeRSYxF+?oVw{AT+z6&S;Iru`r(Ro3c{I*8S-o?J*YzX
zB9uSFR^}6=ji2}V!TuOX!Wo_C(&GC5oJv__6&!D?Zd>>`Z}c$f>epjs-_H&{6)1Rl
z`<V$Y_*U9Ncf-uKv+UmPyWnGHo+ADFo{gHwL`~#n4i4fVd)1><%itXVhYLg+W<NzY
zE=P!E`i}XB?2|0XbwmW!8toto%p!m!mK<_O>C;hk`IUGbvK(!>XWc{-bmRTb?m*Ky
zNC6^XellKlX_Q3u8Dsmbjp`b#%Qo7u_Wx)Bz%bNKy2|!fM(&2hOAa~nXT~o^eFyEC
z=H_P3Io(sIKu^0}huiVnzvYfsFB17gEE|K^cv*(Wq<`zugfqQjs;kjWo$l)DO7B+(
zkOug};sNRc9godZx(v;HzO%zZXIhK^0_T+n>VFU{!yY_lzDoDvSd|*1y!&Z>ao+`P
zfwL!$@u^>bV%0d;*K_>|?<-;c+tgn5j|vVgI*rYpyw5D{#>P&^4UIJ3A7e#|>PM>#
zJ`K1E@2j^ey0|*}PI>Zq^J(L-x!~;XNSeK`lEZ%b+1*>9qWqds)Zo~cuW-yyUte|k
zC8O}{bzcJ9S0$S^lxnpnA<LAY#tgT{9RTkLQ&UrJA(Ua=poxnNE@u=T%s<rfX%i@b
zGy{DANxpgoPo<(zWTsiBK5zJsw=4kWB)r#2p%@4V8Aj^J71q_&f&DgPq}ciws6Q7D
zQ0@auGVO~#$o_H#)M}z;lrsT5GzFeYV%#^rLN$ems904>=Ve|6tE3_D%r>Qy?l0&L
za+nt~OBY_%<q{N2tI+!skShedc80*$Cq)xltOB_b9uCd<%z7<GljVNV&y+`bZ$Dig
zdi%HNx>m|V3NNw0oJfCMZ!$RiUERlT8JFb`H#u9Vfr(lb0pGLu6$MVr445yZc5}Hy
z_Eyq3BwLpnDNE6!^`CQd?+$F-yXxMnanl^gn{|~p{wOgTX1#I$>G4oydpr#CySLY)
zOP=`9bOSV1WiQ7bYd+4X^l0mVaVkACaH%f*9knMcJ#gc~Y3NUF*-<H%onS(RI=6o~
zlSjKq4W#+!Pr9^;y!Sfk_-$(Gzenv4;_(LBeHWs>520ZppzGP$LGKTqm%j+bmlz+1
z3|G5QI_y>Y`umZj-9Ks447<XeIUt{CiDB1sBDr@#QVL$GBjOu6*T7Wvrf#azgi^bV
z8(hb@0+M<`GW8#Op^emwDd+dR*p=Z**p+ju=`cUOe=#w9%k?~zj@PRy8aIiZOCI(#
zjrg9nWRQAMt*W6+wxXATZ)Qy63X_A2%gNA}BQnOl;ol&k3Ky)ZWa}%iSoj@{c6J-c
zmD$FywhGRudsT1khGmFm#QeF$5T}@}_4SU0g;BP&?lFry;j{&J55Uao=8KB+$J*Js
zsmEBAW8V{C;9e~;?NL9#m#~?8^|XsMnVDM~8-Nz!&U7ldcJds~eWvTtY#m6@klT-w
z?&43^JNDgx$nCH9*_S5r%`Jir3kt)VZW#)~ZPLc?b{cG7-u{TefX8Kt9`YKA`Egz!
z6khp}$FNihPQDE2NU82jz1LOQnJNP{b0l}b=NavqNS@&Bigr<e2*&!HE|r~xr_2}-
zuT!Y}29@Ll4_voVNrLHQL!brXfs;%Lm+2$GldfP9yavpDUH*On%#H5hx~`#xzb!oS
zwtB5~`RuuM+{mS{GKkdI;~i*rKm~jdprr-?b!qKB!0khxU8#vpPW$}<a>rcISW~xF
zjG4Z(a!o1W!EF7K)^3sNQk2eKaEO*xJ2XVh|JtU2O{V791+kh00+|i^z__}XXJh_l
zXAp|*)_IxX%-}1T4-&&S!nT%1DPT)j&;h|j!z5Lfqj58fIqF{GuPKCbAi{4V%JICR
zLY4|K)6<7MCZf?>pt?UNRMt>YQ<LhcA}+o>n;Q>6N|q;&P?iqBNd$Ksm&H;&Kt5|@
z>Pyc!czCuhq;#fajF_q@D46gw+v$AE8m6&$uh6k3LLmYI`0Lj@VhnIF>+$jN4)f`?
z9W-p<+}X2$=%(76&FsY;@E02tvKkK$C`~(^ZU=yHX<F~q$_`rn<!JdH01Tnh+E0ar
zb3z~{gZ{Y>WSM?jWVW)(5+t_@VM55^KG0wRNJ4&nmP5w*uefIh2)wl1e$RT`ia%Zh
zdG5sRtn0SXH^NUos-z+%kokMAbH^7K6~z^$Yy{wCPk)ZTaUp7EW@cyWDQ(zS1cDpq
z?mT=7qTM%7DdaqJ3KRBYQSBuzzaaM$q{8-<W!7STsG;N=RzB+|IXZ{DH}#pX{^Y#0
z5ziB^y!pXpxI!4Pe?1%;=O6%yf<sb01E_B-$FPC2yi;R=Wb9O;R#7_$U|mXU9aP3o
znlKA^ruR(%{S}BtspVQ8tfrP>mg?`Tq#5Vw36Spqs=V`TQG4IqI`sJVZt1U=M!!vE
zYDlFRR|g0Fga=9hVfAA;%8eF)WNUS<AUk+-&|Y<|LlWRBpbjAAH#%8cf2yh30-j;2
z#J!c`XS2#yZuMx3(~k<NsBQ<cs{M_{NBSEVffgZOJ0nHR(qikN=X@N~vFG@tl27$#
z|Fav|ksIJxUl%s6$O9e^c*<e}l#`=l;p9NvCw`E~?L4-3U=9xN_%sAL^a{80Su)$_
z+`oapRg!V7%mS#$bZd1xDW56%MxiFuNPZR0kp3>D#KW8o5~M;1USr7bn*-RJ15#Q$
z@wPC*sb7i2@JN%|Q?T?Iw2fT2S!HN^#xC1~4ElVuudRd~x}&|dS)U)c4UVktG|1i_
z-zAl0%gg-B0&oCm{DL91L`0xn<K|3;Td5j3dQ7~VCN|d5*|}k@OA*)F8hl70P^Ea7
zgI!V+pfvXXF@~^na8Rg3Q{~*O(I>}rrcYP<59rboPeh9EpE|Mv@AwwQrrb!0n=t~K
z$j4P`_aL##YpxgZPPYr0v~s@iU2;rAl6K)Q?4MhN#5bMF5JkXaSeLWp=$qX5IK5Yq
zBk(%kcF&}1fWu-CG+WOO$JtvDz$5;9+c?!mP~OT{2hA52G*}f#Mz?e>wsN=yfiPnM
z!XLE?9j8^LA_r<fzo;YkHRE&$-P3~SV!I+?^<}?aemDdh!ye(EuU80ZrmB3>IWpZ_
zFD(b`h88|IZXAEbaL%G-lWQ7c$p~5T3(A?M|1ELlax7~g<wlL0`L~D1+}fU)yqluW
zxnrJ<dT?~RObSdnk3JU{YjIoxYKto+ISqqc>j@vZqkn)0+K7#Hx9R3)XF&y2Ash$~
zgFtRMqyvG~g{XVyew^l9(NSEi0ug)<5xBH6!%${iIRnZiIZ{bwm+Il3V?<Tt>(>pm
z44q1VLYNtKlK&Te5$J%n%s`?wG;{w!g&yGQAOI|GX1@4loz?DK<axcJ{*<JCs+gC-
z{n3G`+Z~4@8Kxm2O<T{Z|3DD)C&C5A`VPLrKG5F$oT~t=?xkRU#j7k|wyt`nKAcJI
zfsTP*MNx^7zk`R{5#ZpG1PQSfhr<fGrssq6LF^b@{dMx#OBNx658#i=*l`fYe(w37
zYrh%JcOlA8$wDx>0imbe7o@_|6_V-H^7<?lPsWGrP3Gj}0Nm|7STPMq;yU4W@PrCx
z18-_-V$#q_AMt8y976j*=q(l0PaROmzMMoH*w(rsyM4!%U+x#G#e>3JTK2Q3<?P@2
zAN4mFq`PaJT`jCtA+rk$nKqSa1hjm`V^K}8dcFr4SEaPU-xd(%eb_gm{99N5BUBuE
zB6O&x2!%S^mwj|!{$>McVJ*6xB5+8`esKu|PZ+(nS}631O4Zb2hyV`_^cNfAtjh;C
z7uI&>xmR@PW{NYSh1)InCfJ&`e~6tsckX{N_1@uJ@Bjb!(~O80B3aoad+#J<Z=uYL
z%<L^8BReBIGlY=6MateIWM+?$Bq8;?zdG;F@A~@VT<3IMC$HD@`55>6ZQY?iee!rc
z?cpC-mw-l{uZz6%fx^PXcZ-Ebyv*7QB;9T;I)|epBX8{{O9nGU-u+sRigLz08=sq_
ziBWKCG^*|NPp6geL}Z}Fmlc@i>Jv&k^BkjodZ#dT0~YFb$^$61qmFP4lfrgqCxdD_
zT{8ckFaAA;otve~3i7gvCQlt7e8Q2+J6cIuS@36x1lX$MtC?rILYFVHkmA!w#zE1@
zfQ=N|#>U2~pBGEIy=p=&1M2;ihk{EvlA$0^8$;G5#FjtX_B+@8h0{;<4_-Z{gaZtI
z{Nd)dik|mB92A*z?u@0CK-YYL{#P&DbE<~R-FEkL?FDbn3fT?@>WeN=_DcTwwK6Pq
zJU5`1>E?8Dy(qJ4WS+ZE=pZa#Utm{FkCUSG<?m`Cvsid>lktZc!j9r+U#oZQ&TiSJ
z7X3l~RCdz=1}`lvDcQ2f#TR%pj6`<%K$MkJ4z46r`t_9lUAV>G8c-y_+eJ{bg$hGe
zZ{!%YUOF}S9X}cuyuttSS)WX6Ps}uF+Jx=x_+7!W_Mf|Ka8H^`lB~uvZ^6;`7qr2U
z08r;RyUryEznom&g=V9?c~86@34lUi0sCv?LsOnSKq|f+bYHthP3?EORWvNV^QO2|
z_|e?vCD!AFa-N<%qeQ4ck!iR)2J~QMUwgPCnN_%c9~W7Wq3oI-NO=QJF8kkTQK>xf
z((&xu^AZ7q^C+ISUlo5(D@=aS5#nlyZ@m(DsK3a7emx;5abLsaTCe?uj=U{}6;G9L
zGJAK67<ISiM4PLev&Fh4;**}>@rv77m+jjbJ)^F=)rWuiB92qx>2IJWTm6n<H4+gL
zeqCsl$QT?FSh|%32*ao7J)mBu*o<DvER2kN0|7HO0{8znD0&C{duz@mzxOZ+#ib5!
z-25IN=j}9(uGh>4vn!yScu!6EPmG;$dbL!S!}NSxA0wx-(&b+5;fcYfP%*lOlt2hC
zU6MNZK&F#YG;UkrI1UF*skC~5cCwY)tTbKR6IeVrfoPZruJp1Q;c-DPST2h?uk+2%
z^d1ubMq_3DRhU8T=pEkA-Tc*T;@~#=QOIs?g69D@%8DYkvOQy+*lln_P>`q~;qxzV
zK`L@tT@G^fXU01hYUw{DvrM_vJI=Bykuu0l9oayHmcm17t6k9{sN0~ce14!{cd+Ll
z;ObgcT}`$jHZ)G_HRrPU_}Cb(3c!;VKuZncec_D9UqY|6!Dbfdx-6eYWw8i-N1XKO
zCj2ejtv|-l3m#phIyqIK9@yAyj^4S37E_KcE}9Pdc#g_n;R2KuYO=q*Y}w$-$z$(>
zbe_ZEn@^z3^-)?uALQ`n8``Wv87h_7>mAp6^(*ogK%wpE1K5-Bv;FhZrAs0U-YaPB
z{6_YZKWLe_2#9rINAJ$oqZ|0e79Rn`ABg)h9+LUsawWACBiCL4iV}x6rpoRgqkny-
z+Yqefw1-)ZTZI{r8-|TJt}w;3$ptseIMVJh57^ok936|T5vL)jir`K(MFE?`)!F&m
z_kNzg<Jo^|Kwkofo_%_<dXcHm+6!pH{?%h}_uu?`GCaJY&H38=On$qWd}?AsP)zJ3
zA4K;hrR60nYj;A+?$?)_v{E75ZNHXpf{Hf0S?s^JX;b9^Cw*G*{3ra{v7S=0d?_m9
zM%RKoc8#0oKTvLW$b=GRF_>b+KG~*O&E$k&q7a))b@KV6kQbKLY9sqBC@4r@$FSUn
z^D;>~H@0SXa<pXaz>7*}C#QW$fyrwdZ9fWl=6!d{g!GF`PC)_da4+-_RzJFdh1;h1
z1azAvDaKPrX{~K~Xn+KCums@MHLd1p+RRIrTF^5+`#c5DrqGt4qH#SPtz#LdAeAkD
z_ve(_sim?lxm~ur7aCJ{z#j!gMA#C0i)ZJcN(DXhU*WQ|CfFB1kHc#V5P$jSQ+=BU
zKy`loSAHY|Jq`uzJ5Yn_h)BRjF@<|!{{TGvaBO5f{y8%<v<Ekwi^uZmBoNBov|cT1
zTu#M4RRrgpgJnZbPH4p8xMf4?sFeo2EzpoL;IcH&*V0EN5IjQ+v)Gl_B^*i#t4(r&
zsh^65A}ssc2QG@-A{8SA;oNhPi=%Tkpc9ARTtuFxQlR}pIn-X7ZGo`DYt*f`+ao(O
zZ917Nq`P}|c9!`4)ob?Utv^5OsEe(kI~R0831a`=UM1tH=BB1kz|BwU=^y?4sXiM3
zH7%TE%V>lHt<!~nf54guWjWYi(HIk~N0Fn#Ui4{)?v&8SC=Cr<Okw6BonO}aQ?dh2
zx6o;dEm>b~fBkgd2@Rw8!MB(E`}=UqT|8b9U68>8Il>r1vi}OD4O*obe;OTi0Wbi4
zVnYc6PTODt?uNal9lL-qc+e!Wa5j6xE%g`RfnflX9v1f5J30MDSNnhyF1QU#p>L%R
zAHcc_JMG5ZH=@uHps}4dhSk<tQ|7tZ1&xz4Sc@|=jZj`fodRo5+$2D^oz5Hm;2CtU
zF?;~z3|BdMzNuy%SJ^sGf4Q}_RXTeg&dkr5$^}@i*Xh;f!|st5i<T9xt*EoUdf`6v
zf}LEp-mu|AiWX!JJ^ozr7xwbI^uEu7w6a-zjM;8njb8H8?|hH!-W<n{Xq5~xd%_};
zM$pe8>NDlPUmOyP6M|A3$9tGG`TDLJ^31Vgr}!<%KP1Rm?z(!|n@&-ghlnRUxaAg#
zlbU$YyY>987IO+JLlH-fmbkPzRf3NX+!ZCw<gy0IEX)N8KZuYdS9z;wpU^&Ns`CLg
zwy$UvrXhkda<SYnh4{Z^wqhhmwM%sRYN8=?n4K(tdo?wIE=5^>$%y}ZNMo*MPk$=-
z(8R^XlY3otIvx#)j=p(zSx(SYJt+pa)J#ikhnP&Em_><PzRI#UK}_e8;jDe7gYbPR
z#tkDphV@P3qKVnBOW9Jgn>nuq0{8d!(0whq^w5_qREih>Ui?>{F$n5O($#aS^cM9O
z<L6smR$<9END@dqU0}E_FhlmezNSW3WDkC}whRkjt8jSU_o=EBr14@s=X6wB4^c=P
zd{wpF)WkJ$(T3HgPLm*E*y>HXD-FU9k$>;!W*EJfn~*@9S8(r6rhOR7sH$M^Loa!^
zAu%=@B5+_1C5M~UeRzsD_yG+=n2;+QPhkbMfBA?0glI~EI>XYCyIA_p;lo=GLfC`#
zIL9|c`*i`M*giZde6$GF0TdZ(ZPv<G<&Dt|kJ9k{B3LA_{VC!dIm9k{7jHd7XhpFS
z2CcdJzejeG$YKT|*OL@yP=A(cexha>%gb!F24tVqctfAsYPWrM1YOrJnX!-8JYvMM
zCQo+J<$sYh7r6Cg&G|k*jkSl;xLDWDE*DQ;3qAv5e2=*U`M*|7_G(x>gf4v!<}~CM
zdo*2VJcXkfGOS@Np~nYlM2zvNrwRVj`%T=3vnZGA2+mBcQE1GLgOd8F!^L1_q$19b
zTn51|u$_IGnrcvG8ByN=heERf%|HRI5=FYnyqF6uivYAcLc+pyCH8?tx)4H1MU_6B
z462cCJ&V|f06}y+pLn@9eEnQos>%K~=nuV{&`{uW{uioB3%jBKhyEJIMK8NM@eaZg
zmZ@)Y@tF-%ERClYYkcRpUnoyzxy6}NK0OH#IaL^wxGp24Lm<Xn6v%}^9(|D!4@DF*
z{(2`wh+Oo><%_a-JeB^ulwdT(PNm7DA(OtTFGL^mS(r~n>XsB$j4;q_=#Mx7Q22e*
z-nUP`JhK}(cr%3jLEFZb>#%4yw2O6fHFIX`xobHhr@idOh%}Q|zXbi^3zVUUj+WSo
z361@QtoK6oxs+b9ey{ulfxXW!6u2mY7vDz0R2-o9+Ne(MsTGy-b3FP?<N_vhm-j?j
zU?D&3IhUbUe{W>u^XC%V^i0*Jasp6V&<9<{7Zd^(?C=gAt%oxvq4@6*6e!#sa-Kvu
z>g9XIWjCtT2}zG+M=GRnml-PnKZE8Ks(HEvUb0vSzK{{sDY}FicqNGJppejAkejg+
z*K3VC-=?SOx!~3IVa}UwosnM^R$TdRx*fy8S7|V?vwB7LbqN(A?iObZC=E2(4U%z?
z$UHcii|fhZEnFsC8vXKcwr)j~>LJHNfvK=Y38Hj!%J4Sxf0y~uObUB!BmLxQ>mW_e
zcy$M4Wo0QYe(JlC)5aH>b;Iaa+F}(8_eY1fuW#c;yspyp5J_Ju!JSFsw4dBN1}c)5
zk`TA3s49asO;uf8{USpcAsN#2v<()O0q3WM1?l_kaVYU<-oQKI**kiIX$6!F<gyfV
z9`oC)-01T#m&u5iG9*Hfi`-CD_%W@;1ZQH7w4<*XGpQ15VpXy8{MvS#$t8?n+wwI{
zox6>6mrmSoJ<H#g9mfgGR3Srsac*c+*qf<l1HSKt<2rF<*mHWzX2)^u+zVB8j$R%f
zUo?0^Vg)Z;ZohId6!4`TDD`&t_m9V{Kh1HzP^RtC8sQs0Tco!>fs=A6q$g?l9SZ%i
zXt|aTyoXm;&G?8T`~01fKC)!?r$uB1Qp9x^d1Ulg&3*pdM@c>KvpFE#mPirP=pxO7
zH*bQ~FV9?3_<5;+LzR2IK-*lN8GwAFI|Pu7!JR_QDWPtW;obU{X6hV8Nc<|HRWm&`
z^|jM5P$B3}379c7N(K-mV;wGSw!3jrQgZPJ3~QoE{^Acos>Ab<=xfUzTjz2?em+)M
z_yqwn-O13sl@RTzT&sMx954ZaqBX6;&c+5M`;P&i32-vkconyk>DD$Y*v^S>h=Kax
zf$<?y(RrrIYCLRtSV#ON9lxr`0%PHe(4q-P8!FX3y(B{1Z+Nt}!2Trmu7+MQNmVau
zZf=GGzzgnkIGxbt00e|UXB~I*Ps55R_&au{DoiIn<ynvw2+|N0;ic);Sa+v4MPjMG
zPM@0%XVLigx!of^KB(fn!NgSOh*d#&)!J+1POvX0g}tNWOUE!DNxC>WMsPh-#Wa<d
zvMbZ0zR`(jsNcQN$`Q#!8X+hw{OL+7mQ1lOX^3m9LY6;6f6i9y%5+^>iQVHf*k^=r
zCe<$n_=&&V+u8Ah(m%Lk36N39iSU>*-YBEJdi7+YNV*n^I=}#CA2mB3+>44e1Ytl|
zN&RYF+qO29n}eD&!mi?~tnHx86okMtfPE>x4IImh8~Q-k0F%oBL~4hbX7ceNfl=~W
z+R=ipo}&}`=OLsA67hD@z-5RbpuLFC&~k4vQyH1_FeY3g5zm{r+K!e+BIQttrl)a1
zX?D&3TL+p1hL3!90tG?`&J`L>>QNUNy-6sh_6uts%=%q8E$v@hXft3B!CC$H0DpWx
zJ0Jf(N&74fe`7}mJ|1E*$=ngUl3HjuXiI)QrLQX0?HXQgXU-53U}J-aK%uI-Z+m2K
zO54fQ|6K%NX2769Ja+RVLN^#bym7zsfxK`AS6FAAqn}FNs0}aWhaVpQPK2musO94`
zrApP^$Ps_|=Gw)pyEF)1-*qzcY6sN!<tQG7d@c0lDI-Z&;nyH7Yf}l|F-4gLdA+{y
zjWinCSHO(s*MVTb4OGhzrnQ0Z_Eeh+wobsmMI18Hfr^m(JibLs*6UCIps~CoQr1G2
z^m2}r9+8Wi?!{o+65%O9a{9>(We<0Ex%|=2dFPN=dk^)j2suXN`S3<-(E{g7Xd;Sd
zp<`~Ra{c$Q@o3FiSy>Z$U#*C?jishjeJQ|4S(&E=MK(KBtyUY}!!Ka`ZZn+{Axt&O
zDuSY8PXch@J|_jS*DQ&6`Q+913WG{a1aPsIA^_en5y>ATw{_}$etikYK-}W~l~D}t
zs{oX$uqK{2PAMGCKN^X3WBNKB!%{u-b~#kJz3j4}&{eRzta30qZE$2(+ss9<;6|-M
zP5@6ot?cGosEwY0!V(7oBqI3u2RujI!23?EM=9@qTR{zG$?rAqF;zQdLVy6cZ~Ur|
z5q%Ibgb*n<8bJ?^_0jR}?HMAy)OF{+-;&gpCpj59^A2~vuLYB)K%^fz(oTtm>=C=l
zS96wX7t<{0$ZUGweTe*pmXH|PYu=aM-$Ji7pzREj(IQWN;M!IWAnWbQMI2yBLBZ-c
zN)`3*H=@LmG*xT*`oT*xvJ`eE`h=}A?^(ps^*V7_7!@h8D?_!bGmJL_5MH&z=k-(!
zH5xCKzApT%s|V=)@#JY@$n&%PcTd3jOf30L#v=oiP-rg29*DdU>;HWxif3+FU^W4s
z%1{<hZ5&{1)O$V0g4ZhKEVmhPva=Fx3_T+P7h0Z&5JqdK;DtV==Phu4nS)K~JVd-B
zM#}@m8lB(Q%6EUy_x~P0`FjlA?ra_OUk}l=R(P}VCU2=gU{R8ZYcGpV3M?SBl4_yR
zZ3AF_)o~*LEJ1lp#3=+ZfAD}u%*|(i0#(cLqR*_&G!Q{BnTIkQrmTgh`dwr1u)gP*
zCbg>iz@lJi$SRE++&i(Rx;~LhB6ROuNrUDB`x4LZ+bcs7`z>F>sENF8jF1$;1{Cg3
z;Q@a9WO<M5zm-!%pLqzVV2kj{MIB={Yy40wjODQb?><+qWGi{P>!((%Bze5#x*eDl
zsVu#h`1`wcb&?Ar31!#|(hD&VUWGwYY|tNhH)!lV)8u%8h67a+;563NGoCxYlRpaB
z#NQeq{{a_3vs>5xd<&0ie&U{VZxx~Y-_o5f(7rxfm$v?ygsi76RCZl`Bsdd^ayB&J
z$3Ykf7>G=AH2zNu(6DazfhF1*)3e6~V>MDa|BnItWq5HzNds~kGAhiZlO#voT%EjO
z;o*+6xPi1Q3i@u(QKUrSaI{(ZjJ_`|t!P7=RDaSzcDhfcXH={wWjoWq#q9p3*SZ=?
zKQ@zMg?+lIhv7F!`roRaDx`~-^U5~f)xysuHx)Ifu$tAC(edZLP9CxIT)7eMw(~!5
zx7~isdMDLi`W?ETv((az>6ad%!sRFO=w~(*RI6@orY@q)d1}{&;eXWJWYHZP8sGs}
zSnzD<e`~rV3iZCu@mAyWBDTaU99~$l?`YnJywYti3_&64&s1<iU*CipO6gXNHS7Jy
zRqDnlZbg~fZQha#b8`-qpv;b4(NsPUcp^w8RW812JVguStumFW{gP`=Q|1kl-ad!f
zjDr(@$iNG)4Bbo>SwsT-{pb9a3SPdEmjB=RWD7Eh33i+di2B<+%6p~PneUWOpS=%y
zM)kr<jFM1WmU-4>fzq_j;VQbV>aSYduXpq_Gi$GU)8YT_I033MP^AEG$QUmw_t2xk
zs@kxNG7(EB-wQ!x8|c`qpctR7Yu!BjLQ<0Mg!~0halhXZOXchT|MzR*fyahK0iP-1
z1{RYno+h@=Raou%o|r*_LrO)O17;zLRV5{$W?An`yKJt`OiCQyIZ2ydC?+UaBh~!k
zI(J+{G(Y2}uzi$epUHFhG~U0|k4N|jExH>ReypdJVk0TPWuIvmhhRvGd#_Wsn?5-|
za+8#|c^86$>O_;>+e*>H82-+9#Sm20-z)!?L~bZvsO(t78@Ai@Q7tc{UTYyJUD1w<
zJ@kCnM^hCMhr!jO2X}3n-ZH<ZtQ^S7DGz@@OG~SB40+8>Qq7b22I}qK16uHxjNH;R
zsCphTg~&0+uQ1qo0Jnx+CS@O}_&xT(!M@bbhB`EsC-nmn?Zwy?=v(?B|HN!D^#&IG
z)NIktX_ZxfZ1~ONf3GQ=aHGYD`;Kj=x_vu6&i(o-#sYzN!$0rLQQ~dd8jJ$Z17*d^
zN}6hz8_^ObjuNrA+kBB{B@749F8*M(j_de+J=5FBynK<a$I-q|SV&}QGex>fQyC)=
zkHPLp27jnI{po@*9xXG}EFEUg-2!GE>mLI{Vl;=FYZ0d(R#RhDJ>*kue<q5BL9V2H
z{LWg__QD206Ww~JWdBOjQqhg_9c|?+m6-;#AR}>{Rqtc6DogdMq7TW*lZz7nl`ETE
zJRh&f48jaxA@0MHfnqcoP^IIuhkIb^$3UhG2Q6IYLlf2=-3FjKMPv-*N0tU^L(&kt
zLHlPT4~h?Yq97;NF&h*jQL|L;st}h`!+E29j;I^6k|#|$un}WD_O<WFIxu6-e*R4K
zzdnj6#GDe^!~$(4JPc?-;NUGREbJUpi3jla`>gkSqHoA`vM!UjRw1*5MAvRV8x0Q&
zp6uT=ek+;8>t{aCri^a9Mgm2MTvUNh-LzA`6tfZfir}<RF;ZN<&(WB8rzxNzJv{aT
zJUVDIf&T8A>9>)tnt3BJ^3GlPhsor!!BebrF~hEZr=Ix2bluBAYc)75Z$y$3;^vQT
zemV8o5>>A>sBz3d<=Fyre@}A>Lg1yrZEC<tz=3bbAdAYM-W7!uo6^#L70kyysfE3i
zWK>rYG?`gQBY3-7kPPh-#Yn;HSHt-J()Lx&k!{Vcw`of#Jp3?gtwr@D1SEQul_X}a
z-5*2~Z_EC~$dzlDxK2_(F;4Z!$*CKKPpj(@FunjLz`xu2?|ebKrXhLo;iDr;yo<NX
zVfHSLzO~#wLXV$Iu-8<+A{v=TbGnW`z&GD2vO*V`$atdcp;YIi2EwtgUnM^<Jr6~J
zcREc~0gulz6&a!Zp`{Gu+w#FL|6o99(D^<FRdWVp$NQz+3aQOfDe=*mGmX_175kdF
z9%rOwN>1*nDhax+*BE5*7+W0Id#Od#Z}8)P#w`4sm&k>K#Ads!z>|i+(MAhNV)cdl
z(~~qwYnu>%3(yHoh5Tka6i%jYgF*nl4Wmn1(1O(D=9;_AhQzXDx*_znd0xb8XJN+X
z2%5B_WrO+(mh9HA8)|keijHY`Q7UN@Q8<NP&E7OO&qh%aV=#OGQVNiMv)<*P=g)9(
zHfCv~s91*XaP`|cIW6w1Lx1#K%Y}4M)-QiXHsNKMLIO#h<3s*5Z^;1O;T5%?AGiIJ
z@8e=VqbHy;&Drs#N9Fi%kn4&#s2R(18FE~29evTQCkHM2=aG?-i6k!2y8Mclp@;tn
z+}aso(0qshdbbTw@Nwjga_?@51sA{|O`SV%L}#!jS7VA?@yTT;T8_VJf}w7c7T%1w
zdTODVnAr80cVoN#JMN1)4lz}49W+GSR;Sm^)pmAwr37QrGBcsq#G>%JFJ4mHA&Oj5
zz|~O-bQh%|3YB&H+93#u+zo{qF$+>5D2muiYSGw-Ct{f16%&sdjXaI@6JD9|QWAv|
zzv?zYD|u^KFfFaa8&`Yi&2sA%0kh-m|C}74=V>*y;oKKNpTMG&JVv$!Sn17$fPPyv
zG3}~JT<JJl=LPW>3l<<BTLPHZo-zJg^1o~bkX5;9QU}JW!lr^64FfTrx`2xdEQz*Z
zvV^#}H8mfcj>)Ig&thFep3BfbXM4rm-*I(DO;yPi5C6<RH56T7h^t#x8&WQgy-6+|
z_0vmyux>OcI0&u`Uh#06?n=)7j5Y55Diq^Ob>ge!^^K43Svi%zek3TJl!jL{UXAnZ
zh4M#_dDlilM7G$NETumZWj6cML5+hVs<X2*cEvmY7$Zkw^Izj@u}6Ku?K$&x8lps+
z_^5PR!J-8M`ph2rGPbcRQ6DL4G}OkMnw$0X;Ke>Yd8`-Y$M`tG)Xv`i{^r7ne?xhO
zdeOuC%b`CuMRlPxh8jiv@pjW5)P5AXVw(mqg~DKaSB1!7=Pif$lNHli`K{M^{jHBD
z??<4o2Jv;DpgRVhcIB5;)Nyi*xOpBSrkoUT0=AmXlHp-5A3!@SI~ih>f1J7#aBFj5
z+a~i6q&)88yJ}4Jj?KCphC!5NLenGn8LiV)3^*x(JQFhD6qp~jP@~r}^KZ6QROoQ=
z<Th<<*`sW$t@W_l;+h?+AWdlq2=9+Za_g8=CdfPVVDtcK1gCqp385)>N=A%zH&{ae
z_xs{Z*&TC@8Qx&pZsOB_D4o8s$0QmA>wN#knK53mqfZL!9AkYulSEdP<7!CXjk{eB
zD#ibVqOsXc_O*iBDLI~M{1LpAi|?=0N)E2BTJooHQq=eI>yzWkINawaOc?fRF7ID6
ztg0YkWVeb|dx_gaIa_HFZkx`MZ>o2-Ad|1RPDouSUlVTh@jS!j=@6Mg&L6VRzI^!t
z9H<<b<Tr(!p>qrq4x+WOzHiQuTk-fyWl0Ihg_5*q>n^yRPp(PDw<$8CLFUu2O+Tg^
zdU~MQ`}lw_u{Sy<W~+%VMxm07F86l+|AX+&f+9mmjXGs5a_6pz>1!ozkj6_MHlzED
z&FQ7JZWrtqiZLaYvCngS1{psw3lK7;sZw>-dEfrH;m363Tg?2BUxG%Y<Ghy5iGTrb
zV|;l7K5lPsir|ad8iTPN+XbAW>*HoD*68}SXzvz>W%JXvVuDf-H>`-xZDdom`gzlT
z;2KAde?i44>`1s6Po15fLJS%+sS8awYWeU4teUzUw{PE$=2I>fAvC}Blom2azJ2@l
zvjqbQ)?~z%$!#`JEgA<^fP{KvFM~Vf7cWBEiy_awB|&e}w^n6kh~$*m(WBb=^wG`A
z0V@iR5)spP(khBmzasO!eB0xY`_mVYb3}b~JixWL14bYy@J5K3c=FRoWzj1F0f~yS
zYS>dAt)Iss#sOL_&Iq|Y*&b?(45oNxwqbrU4(;B9lb;1{E2_N@Z3^B9%h_4K1%&)|
zSTA)t_!G}CZ>L2-I*}J-qlG*-;Jmv_4MSK!zF4kacL7nfY98N$TOKVXbAJtCkWzj>
z2`SVlqTiayDUxE)-?gI8&Q(Z9jZIF5(hA_w>Qc7n-wxM?Qu}Gg(w9eg|2o`^u&}V+
zPh_m!!e=ZZoUK}k(FBxrPh)f9oxSap-MS38Qv}qi?^OUIJSd=S84Y1YN~BGXuvDKY
z(YNdBIZwT)zE0ufJMLgHv}V*Kv6*p?w#<N&O5us91DvWD^eE@6ZpoJ4nQ)#v>U=*5
z64(|+9$0a<fa5g1>_~Z6T_x+d>z?wLqb=MhMu;d(?CnVS$aG1S*jXtrGv3v<r>Els
zc0o;X@z1i5Vz|J7$7Unl=y+^#5j$|ieRP6DBO2xj7;%SNY>|k+2Bh;}9a-x#1pTc!
z<>V_XP^lpVVb>$aK7A5q{IGYx#h^r>REPbZRQuDY!>vgcwtBTRWPh;AI{Io?Tf|(4
zS$6r3N-}4f27@3vPO)mBD0C!~Y$$>mU#)r;(Js8jYD5?5ERVzR+EFRgD9#ig_o)t+
zH&0qi-b8BaHKO}Su$p%EWjuC-z83?c8vw~45-#yy6qQ^5WTZkFZYO_ykFZm*XxxO>
zRVksR<6FR!-IL$Zm0+#8mA@=p>mrYXVA3-ihA`F@5*H@8KX~wN|Bd4;%%JGuAP6a(
ze~ywdcxBH1f)FnCkz1ZJ82-7M4WP`Ud;DYc&!0a)J`^lxg54Xy)&KhI+>MwNPnru|
z$1kvlL@KUcy9U~R7zQNyJbnxy>?+Q<9@h?+iwi>;Q;3WxP1Zdv$rs8ov9Za~0q+)-
zK3ru8=F{eOQoA})w+rm~x%$GwRL|5|e<;$aslxKn3LC*g_2)^y`<ZMrQS~Nw;6vMB
z!{(3cP32zh?h~Ky?~+Xk7VbRq^Yer0Q!o!{t&vBI9<@nyiaS7hJVlwwuBSYI%XBc%
z2#@bSqr>4jCN_#*#*Eb0?FLzd9EdmvRwypwbWswA{EBw<lAVMN-}rKPV}qMe7wwy{
z_ua+7DdEQU7GNQfy`XW9@w<9h+OL--g*mZT-r=8!5G76ufgsTTKU=+F-uq~T^94Vv
z4d0<`-)JJN|MZLuV#~i^9J+k*YM9oeN9&n>y)K2gs{qXPZjj>ZOf78w_<52kt99dY
z-QIjDFt$UFFUxDO7sTGcKy}f-{5eD9F)vw=EO*s{!@{nB6t;Rn0m~!GG}S^~4tz%T
z0?=N(dw28lMR3>@ms~{B3vr%4u4}dW?0z~$&503Mz9Zx|G}VF`nWvdg|0441pwHJ=
zRksGKNC_qf0#a021=0orD+gl?%GWVT<WR+oPQy;*4+@x-1TJ*ybG%^aynLxPYRqL&
zBx$JIq~gX9WxpjqFuLidfac;py;bpQ#=&Y38$m4(63F1uN<x{@Yx(^>0S}yc^Yim)
z#n?)$1oTws`oxI4-sf<=``VK^mrSrb0y@QGXaA3)8M(D_bP&0Eqs*>Rt9V_~0;4yg
z=SA*;eiugG=%yso<P1tyHh09KU<jti<h~WU>{_U>zfj6(-u$4i(Dp9Ji$;kr_zb`n
zXa>sOs&%->aYgT=!!tE)JFGxQrK+!9Y3ak=x_TZocknu9Ow?AAc!v}}CPd0VpezMh
zC><U)xE>(Pz`Q3Ykg4Cvj@;sv4Pe2GzoS-2Ws^A#mzyLmxLv<@UBDD!PIFf1$1O|p
zll=oSkhHA;$JwmROd58F>SZe}wWk^(J8li{amQxa3l@-Y5s^5IK>FIm3sKiUZbRDG
z-h4A43j^<pe;J9={M0_sTK|-pqH&dpzD0r-O%uSq_jA@sqi7sZcK{J(c`4`Kn%{=q
z2gF88Ekv|{1-%G}b5U_|UuY}2O#biLJ%o8m>C)S*tKVzpoTU5Gbp^!QSY{_C#>T1^
zjbHSy$>uH%(oK0tkwy#%d<E|mvQ#lSbqSHq?#F>6{X90$$=3Edh5keSSxTlV%R7t~
zNT%De=!8dc;mK`|R{~D~p`7wy@DvhCD>?Nw<5bLjefi>jul+*!oRN9Vr1%VX)eGxB
z<|UU4@O-W16iXTZ{pST}F>i?o0aE{ct$(f6kGA`2pSmwW^HXUS3X>{JrNNeWkk{hI
z{Y=wMy6-j8aeYI2>S)GjePF|R2u9pY6rUkWgUa;PgY{mt$a5<|slP%RfS>1$aoVB|
z3Vya=&HJApIT&M<Qlh7*<jWb|=^206uTl`~rEqxjafl`@P#oY4$3v!!+|&l0Z2kPs
zo)Sy{+Ji0zo-rtV4tW}ug0buXC_&eLAuTgQ=Dp=&vtpbxO5gl2e$p6Cfpo1RrE&f~
zDdA7JG~f<{As6S#2}igVI`{l~gkQ)pObt)}*{6S9@_A+kLRqx@_4Fdws<7$tF(OH=
zBrQ{ztV3fP7`hB}te8=-^WL!6c`bxIQ=DGUY%0&_wFD0kG;@>|X#;(_P1)Kxa?ZCz
zFI4P5wmWV0xrqA|9DkgbFGgthMm=vW|1+~b3=!<}WX-QR$mu!pfa?k6?N_n-7@KZn
z1!hRNw`?nbT%NzR7^t-rG%`TIkrK0)1L9^lX&((g@(50*e%q=Sj91ufWHBpHQ5HA}
z64>y{Al<PTk*MqATef^WS3?(^&Grm`;N@cJKZNKmL2LxAyFH#bBU=$w7utHp*}wRE
zT?D}EGmsu##`>qU$j!&IAndAFwA)=WWW_Wge!DS^)*WgWr&y)kVTy(4S7pMde6d}5
z$^%3Y8$$={EM^;-%GxmuvzhT`Z=LF}_s6lHc64<q^nc%KiqoE%ZL}43UZ-9sxf9P3
z@UcYmPUJ7+@XG|z5Lxs_m<RQijrBC@V@^s_MSeaL@KNKrfXj##C7quC@s^bS+i^IK
zk_9&1-()W)dwASTEB9mIS8Ys$f2D9{soIeJg8E3<J*OCWmS^V^iYjUNpGMeA@;O4D
zA6|W+|HD~zyaxU{mc7$mTb?U&qPP5br=Ga}s!?PfBRI*8&??`Oy(@!fmlo0}#qb2w
zs*;N&A)52szhj}SKwigYe8=U1+<&J>(Hs8{Ir886#=xvZDp=tnz%yaAgLl#Gt|(R@
zxc8L{^6WX|U+a=(+for=XZB9q4b(gFm!^sts=UC1;n&D1&p3|d&Co7rr51jon}CIM
zyR;l&MwZx><dxVJ<dI);6p2g9Z+fm+z^IoxAjF{S;}pbweM3;~;OzL4sJ`W`K<{cq
z@{9Ad3eN`4w?o^`Jj!d=u6cTE>A6Z9jy%?Cx-sgm>Buf-_EENgrbXH;fJ3$ix_{d4
znPje!%8OIy^!@KWSo)a<cB8_?B_z1|NoAcshTc2YYv{tp8yD0sy9bxgY6Sk22L=s2
zBF%z&2D$V5UgB8yo&$e_4nqP1!8BMe68hKRjE!K+^8TN{L@Fs;-2GLtKp-%KX{xN*
z!+vBAKv{sH0t{&r2*8QRr|19Fh2o#R-I(3V$KH_gGwpkSnuJP!uKFe11HGG0j%BJU
z_qmlADQa1D&bQpn_7G``sL;;R$k4L%F8A{oN)tRS_RUxoi-5lYSl&ZE{AqA4g_(=i
z8TM>oVE`kUVSV_Pw(>#K^OoO^A=)oc87i7Y9Gxf6?B3czJ&Y+gcz_wsA4@6=wsDT$
ziEC`?cU#1wOcr>~xb!*tjn$-t4lzqgz!ytRNej`y2)FYU_CO8%@D-CSX{QD30bg0n
zp0>7gKrI!S!RjWYc0Px*szod8_}Lxw@V;^Q3_&vViM@akk)eSiAT{ZHHyKn#oaago
z<A%UoikLY#4EXuJ$7e&@Zxc%idSrl&hY~3)7(sJ{K>v&C>D|tK&h?5!LX^vYSb)oF
zCxIER=NXenhRHik>0S0iX8L+5q~_`C1A03DYE%lmp9SM>4tGV=K31)28@^P<i3}r+
zc$0Pa)nitM4{%566zld*mlQXX3%!>&c=pEP3J1A!gtHYUl1bLZj^Ht1AUe#qA{<qg
zkLvD!YCCmyyS8WMMicI)?w-xuZ}O<I_*j7wh0Fg%5QS%xp4@8*Y!3K81;By})E?ns
z6(^Y7-60zoz;pn6;h*5QxL4<pb|t_se-S@}Mcga|k6%a=;?3d}KimlO;vGKg`6ve0
zR+za#a_y#s7ftv6F-TCe(OFFpr43F5@Y)=7QL`xde(z;_2kJtuQ<BlqJaCYCweA?B
zm1H0fcJ8|R5NQV;^>1{<6Uf+hx3^EhdjL)(c(U#g8HL#n?zAh_t^c0v<`RG`*GgK1
z1b#n2liLMa>(1=_gG(GWEd?MBi=7!V8ReI?(@0<o(NuCCI+pm;lA9ZZ;uq)O>l#ZF
z;r|lac?w(Um|Dy4<G_s<WrKr-%=j2)l#zzEKW%*&98&PQC<7e~tMWoZQPFxvDSiAK
zmjjUvxdd#a_sRs$WVnQ)2~Veba0mT{<o#a7=!+3p7)vsulXx*(mpaUxp|Fasw4-gv
zQp_$XQAy!GvS#V2GCDN+9q^7>DS?YjAw=+eD9V8&P-)$CLsXqV4U)2!k7gxJLWAWP
z`Mj*dPXN4{hkPA~s`F5~eH)~ba{$YLYO=<>GYrizg`XFaigPL+S=7^`pCFiU{-DKr
zpaB(xMX+#G?j;3m+_*3R%wV!yoO)yEwscAAM;$~bfkF;x0OdS7Jcnj){hvIHR=duT
zn3$M44EU}#93;mlCXXHThYN(?#7r6-XN9{LK2IAk>9nGFlc9MmT|XfkEseU%og%hT
z#d+arhYUS$Hm|LjnVIYNg2JvUeTrB&{<QC6L>`&Jdic>jl}7Y3#c$ZP^xy~PoVd7_
zyw6u?)ak3MrHW-*`(Co5I5^1W<>fV8RC|Hg;w#8EX*nhCs)VERjJP#kCTk$13Z9J`
zT6!LDNA~TAri^c4f6?W)nz@@C?hEH0Q+yANh#K_Z@N*V3l^Le&5i5l#k{b@5fpHT6
zfwyDLw&~yycfVtj@C;8ASjA=Si2jil*2@>s28zlDztV*vmTWnK4HJ$x84Zo$4hfX_
z15hyj1*h&Vi1bSX{^BzngY^r1OV_-Yg0_X>rM7~lCvNN?5GlJUT2x}Eub*O@9%kMU
z6JyeJWX9XD_)AVt&oEg9*Ta~xfBY<xQ)S)XG`8s^CrKfHw2^IK_=A{;nohEO?Q4mG
zyy8(o<w$dE+B<p;s*R?{;r`OuSJ3yS>($g3B*MDSB$Ej*Vsx09a<1=x{c1EaN{p+N
z@H^lp-<Wp6z~i95!waq9-7YV}SDp-~o$Y;ntX~?%(r?(CK#Ph0ftlsf7EZcoC^nVy
zHYr;Y+X$<sa(0+DH}Myh4A<*Fi0^&Zq}RYA(xg}GWMRR^dv&Stx8j%#>1-9tOtQy)
z+uG)8fo1`T6t{pU(Ofr@9s0*O>hg~d^<6zZ*9ZENk6(g=X42!O+uj*?`m{M_Jc7_c
zkzcVM^%1QyQU8h<#$gQBAR45Bpe``<P{phtp4bRB{UU|v1W2t!>h^ect?b%E5K+8x
zMXB7IVh!e<xX}w&Ey9Utzq4hjMX48!<=m;~6IG?mIIqR8NYBdJgOr12{DHr__p8P*
z?h)UmY}Zjn8`wgbpt}LD%T4E{c8EZ5ob?1zGe}CC9@T&Nx6E55ZPM!o9_$lX@n2oM
z#-8H!u=?kFa?`~ksQ-4b?B{vsV4gH;GivM?{ujRan5{>01U-b`=s7;PE5{{`>+9(y
z%kevUDpi$u%A+rh1Xb4ItVng>*C3i+Us;+#H3lWithAg-;AzZXN^J>)Z8h9C^1X7e
zE9*@XCS(S)Md8LjRK3GX{rCum0&Tos9%qp40bV@vBV)l210Hdb%ko>>+wXt-AiRW~
z9`g-L9=#NXniZx69jvu=PU|P6jX5CJU6rD`y8_NcVZ>p+Nho``Vw7dXu>4~gm5AeK
z@YWT6%KDG^et93Du(G?=oVlW8F$$7OM1hIcIyTeV%>2)lVIES*J705b^0x(vILj{e
zf<;PMHwM*lDw$Krk(@_5!ll>-pd!uH6eW=GfGf*in)u^#k5POCe+s!QLX&|TaBE6V
zYfj=AQ{!6kv<4;z^}WG3YLd}0=5OprxlCzs{7)LhFC-?GlyIAbvxU^u*Vot98YZv#
z&=u%vC9M^yw0wn`N9@wsdb=Ne*h$S@wsl48IqhROSX;imCx9zp17itV0n@0%d^g#s
z|EgJr5cUG_8D!<Lhne#ZZLEhOGE*1ww4i!{JATR+69$=78P$ip<(_w`z{Q9!$k9(?
zDiMX5k=J-O?{Ow?@9mk4Z%Pdii7Jt|C-!U{rWY2EkH@YczYrw-as)HL`7p*83A|SJ
zo9CYPpvDAaUa=A)!+rtjGC+-rwL4o0^GiL>i#bmks||SX8v9+67`eR6b5g?kR{6lk
z%Taq1l667y4wEB1zfK?gtbg~Ii#uot{|4cb>0$cR9K=mPN`rv`6$!dFz{`D3k0&K1
zg%%NQHC>f`mdDOxHC3sa;duaqrRWhQxm&udD@_?!iVg&D*Q!XPoPfic66CT^Hz#n{
z(_1<C^_eBIxm-d(z=Bf2puiLr0(AMOPlfD#wlCS};<{H{raUqRt$!7VUE7MU*+pa!
z1Z5O~Ww1S}kwGT<xj}j)FHZ|*ncPCXF|Io9r@VmqR*u1$2szPzBTpjH$y?{N2>#kr
zNHF*VejdA%lTk6tP>kOK!=S+z7@qT-bp#W~8i>QuB7bs+*ngdxERR!3NmjA7{*1#X
zUc!D-YwNtGJ&uc5f!2xllD}SHPK#W16_f2ziVPaO;<u66U)3_OeXPQ-<_2{XuO}Iz
z^Z>^4PVlz#)`4B>jaj3_o6L94V1xU?g8Nf+m`@BL3W*O)a3;ps$ix+7V2cy<V+-l$
zN4$)$yz9)S(9@$vF0uByM=b0g$y|)H-IZ4xhp4VIbQ%gkLcig@`*3YWy#77%2OS;>
zMic=^)`#O9%)9h-abUCldjMYu9LrM`wkz1^m&6c~%*5Hts+0g&V!qlagp+Ky!3~`F
z#9oNd!p_dlyj1uW3J5KbsBH~>@R)ykf%x9KCg*yW1s#LAu!KRfw!qKmm|IVt{M{<=
z<VjX#h1sq)Dyl@O%UDQS+`{7^UPiq4l`ZGw9tjG73}-%(cUhlu87<&338@e$rclgd
z=QjNE<RfQ)6NoylK~w-l1Z;L(xb|WB&<5THy66Po2s*R_8b7p~83tJxqoqt>37=~?
z2%~;94ayt1)a=>*r~a}f!8QkfMV%wHLdJ^dq3!RYH+{k|hCxco(eQT3d*&H7r2NiK
zG9~t{{87>Qa#si^FKiT{b6YvEh{IwJ^=?tZ6S4CvEV3xw*JX=*ps#<$!r@)zREpFR
z{V$_$fdUb{3A)<dm?}dN8>EIEb<RcL+5;A$nmu|tLcM^lfDYlMx6-)otJU)^57^Vt
z{<I_CbI4~Uz6J=Ue#<iX&68dY_4+hMUqeR!$+$&uayA+_d!jR!GE-Aiug!tiEC$lF
z*`9o7v!7?O+=bBGhfr@J-@q$!1b4N>_&7Rk1trUaGg}uP9?oU&#OhdT$9r?n$NiDI
zPHhL65k5*ytB1J#0U#`OJ!^=_-o>(8OjT{Cscr4|;joj^(nHEFa5wCq<rjRRikh-Y
z>;BAM&{RIm^N!%In&3M3SDVf~ts5xpj*h1nc8<g^XJ5h7G?Ol(39K<4Sy*Tb#*QJY
zbVSGb{6YJAMMZ!0FvXc|@m;pNg<N|OE%p0bCz`T_7@CLa)}ri6V|x0=M`#y1ONw{I
ze`GB~4H3+WiHW<JrY^)pvfq#*88<W_r?aI`NJPYa=+L$gaRRd*$2DtIDs;RO)bXq6
zLdI6l=jKqOIc1?Oh=F5;9#g1%v&4Pxc^r+O%rH@MexL};(51PSwi~v6bR{n_&D4fQ
zh?_~-U6{n>I2+BUlmJph&@2#my_1MN1o!0$7*1^Ae`1Q09IF(5u{+xM+RAa2y}-%4
zlX~G>n8+MR%g|L3aCqqO81JlObk2@m%75L@W>PRcuiCf^%}^t=(t-Eyng?1yfHoA;
zUTeh)Wad*MGMe%*_Db6z)bCeswEk2gF9g9FfZGD~)oc0S0x^-E+FNR)q(Ia+Bg_^a
zI*4{Oq;!M<4!^#c&(>j>O;c{G5QeOsH#IexRFz|Fpkx(cYGQ%5y;lV6=Oy^)*AY-f
zn*e_tMf?k_$zC&7DP{B6BZj3%kC&imgu*~vQt~&vaTqUB|NHm9MT5r`;U+C2qR&b3
zl>Y4-rojyu>I^LxT-L7l3SEYt(xY$!^87u6AX@J14?mW-QUZHHn}!&h`AO3iQzFSY
zb`D3S%&(&A4fHfwTySt5AG1Atc&QVQI+Y;a2B42MR|5NWm^=?!*z?I&Rm-5|ThaRm
zS!A^Fy2XyOp|Th$%cj1E#O@GQ*=l0yFY^maen;~L)-UCP?_e>1h~DL3+uyhVa<BW|
z`2QVI>XyE~zMh_Sk1omQ1&EU)&cjd2O;QkC+HS~2bT_~Ai;O;mH{kv5rvI(mM^=#^
zAJkG+ZfmQ0#rYMRq)@Uol~-6}L5MZ%^h4Tp49K{EwoMr@=53HUeEn((Qu`}6-!Emx
z#l-AZ>>d3myka|~(K(gjsy46VYoe6|Ww6snx7#-kp;#^pRl2&l_6i51Wv2-gi0!a4
z;9Ufrs8h!)u0nKLD>Q<Ozq&-q|B(LI#~Hz_N{BTVq&k!+1;rSZ2W=gvy{G4=M}%vi
zsj5D#cUv?;qAs=B&cMLH^{He$hLVzWRu^NA{%F4CGi-!8f&?>@Y>J#YE%Q^JyL5KN
zByP+$-ICGNxif8+n|4K1Snh`hPfHCCTxmAigRuORhuz+%T}CiSQFeHb2Qm7qfUxe=
zIFr+$DVZ$U@CjNz(@JR%&L+U%8GY4eW|+Jp%C+wpi@KMlhw}~n;DI(ig7;7aIxD86
zF>rP+gI&G_5a72e4Cvcp#1~?XMTCStQc_obb$*p&4-XYC`Lf*?QcuMCsgw&cL&0pO
z**9+cut`)<gbii@=}1e1yrfQwSD%iQ-K&-90vV!qc=bY;5`UUx899XJ`1$&Fb+y0V
z6;d-yxQcjlTV=vm0`&d{QJmNY6v>};d>8bkZhl(*(UZ<~6!N$$Yw)eSR+7K;lLUc@
zog;IL9u4mJxWS;a5)lVNk5pRF1G*<0m?M7=z(tOJ8;~>fyXO<A%=hL_(D_iHIhS|)
z&pWzNqFoF(jF^MiEy1p8e06s7jz3LGW%p1tqWdj}>NC;jH6aC4hBB7d4Stu<JIfOV
z(>v4L8Lvsq=ExYNllE`8n}{vW7O7_FDOOZo^f|WOfHh;+xFgtyF@AGrCnGH)10+6J
zh#@NkK0)6uROteXK{zAmYqN{rm#6rwI3|5`S=4z+>#mK7l8^A}wcUcaPV7YY&i+I`
ze1@_sBgg#)3e+dp{@ek_Hz1py@D<XhS_(a?|Eotfc!v*xAPwW{9<CEuQw;3GNTniq
z^Etpmo$lKH{=SnE_u~ev7WB{qtHmo(0$N&2m8sM*Z8myoV{2V`Vdk33<R8a$sdFfa
zA{md)hpemB@eF5bgw$pmT$naMWIoiG$6osGG3YU47;dg{OOuls<akH(^;dxkC}Ie;
z7s=+Y<<rXaP;B?oU%XtQ+V_abc#VB|qczN_g8Hd|y{;`u>fc8d_kz5zA)lP?jr?Pu
zAi5&Yd6!Iu{K``~-+zP1!b?~+J4l7%oMSFLNc6x7+r>+(5x6$Zug>1?+SWi3CEv_9
zw?L=K*!bu^<sm^Zz0!coGrdK9jy3%j`<JMyx0t^<LU%S)jeO5Dl?ah_dtI*UMt`pu
z#dGx-eS5s<Vccc#A@Zni9!#$%RC?SpcrTO5yB1*aviT&0|Eq&O3Cz~r;mp`bev~vg
z(W6*4SGf%{y#l^1b>x<8*^8@K(e~R3T1&A!SK__PB&A+!-51e7fJ6uFL{_P4T$L1o
zTD1ClZ%_#@a?<d?BVpCh111G<5iLm#!w488hrLf_PU0oP*%~l}p<WvR&ik{(r)SYp
zZC_m?T!wazns%DP?oS3k+ur)PUUPQ>jz<_&{4?avX7qiyF-Il-dxr5$=L6~^UM~sW
zS6bZ7y;s&$-aqjyyD#j<Y*vaxlU~VzuhG>CR^imi)IDwG61`A9MP|~X0bJs#QWlr3
zMtsctkZbjYj_K<^e$+V59x|mDf&_lEsjZJ%vf!H!_5pS|XQfb}FD9Pz_u!K%PUvV{
zhQdp4o4hhSEX~>%NskeI<$jY+XL(T3VtPTvZsPbHc(ji(n^23e3<Uf~O><F%`OF>5
z7%b1S;{OgVFAJcyF1rhd1^q0YwO7AugIQM1ZV5A=KB=LMz0l;*>zy(8(_mn;bh5?|
zC8s>Zu1IP;Pc8|+z_WmL6EJ%?TpWZOm<5z@k!|4!y*kI{($X7=y>GtL!KPP4*Ug5_
z8CBPQ1`-6fA4(22UhauhlQ)*MO22*oJ~e`p{W;W%I!Yw9SFq*GWp3<gZP+c%x*%6x
z0{Qm7zD=d2_G<fJd~yAshB%iZN+BP|c=n-)zg0xSe(*dJTHbc?Jf3!Gtde})Mo<|K
zL$T>mEy=SwE?f+yg44uaML<(}uU&<Ne28+Jtpk7F<C(+P?BBdwu13(@pZh7<H(e>T
z>)R>~si2Flzul?FV?Xp}x^+Av)VDT&Agec7Ym+L%6R#-8NMeVlEVL{~WnE3NH+{UD
z!?oEH>9csOVd$NWN*LaNy5TLGsDXHnoFywx)*PYWzKyB)9!utVwcqu5pnxJWzL1DN
z{Xc;K*MFtBS*q$?!&P~bH#SKTQ_-*ZiySuUR6`C=XqQ5s+X$AF*i{!tCX+D8vL-@X
zKIU=0YQFJXRy;AOiPY`77M8}(>9BTZW05p>hOfH%i5`#XL72LaR!&)WYS2b4bc(%I
z6hx%8(_)5)%54F$1|eyt+qhtOWHUJhi7mZz5N1rIZ(34c7bk6QzwPHD_DJ@~plvb7
zPs{pZUyQ7yE7yK}xs6vw3sx5N`qqq!$OCXBj9yewJI&lPq?kngIzDEuIY~vMSgzCb
zTk|7=#yg&Y&1&VXn-XR8c<|J!1`Rmt;D6EClfPN_JgZkgNLF%KXs}5?Ml()C(W|wD
zT{R)iyeF2aaNISO@|vg3imvD$zWg(JcaxU_YHlx%y_NIWDK3Vhdm@q%A-?yo0?CF}
z+hbFMR#iMaOs(QXSs^DO^EcK;ra)ILcO#DnvNjUghl7_p+5SKEd#wp${B(_NqM-Di
z&w^s@Wg-f9u7o~!FR%JnFYYnMv+Htn7Jexq@pf@n&LFC!e!x+eiSrF6rkPihymD2I
zK?0eTMr~?L!o&2B<VmMTG6l(nMvj8q??H@^jsgC@qKc307RY@9RY*7H4qIxu7Zz*;
zv2T5IFG{P!e|iG8!Gj}K*hWo-wplF~g&5>e*zfV20}B`*lcJDz*&lc>4gYU(3z0;9
z#JzAqZQQ|LFqj?^g{F=sogTw<F<97d5{%M+lG<|LK#)xQm?nc8S03C0*7Ew)iP%Q6
zm5c0C9NTZ^(v6P&SsO0(ax%(AvrsjHMy$d@1JA{{e#X+etV`?)_7@xS)_h80V*APS
ztY=n+on4x!V?@+c*XpKbtGNZcy_Lp{0zhO5{3PiQa_CIQv#>*&f+@)~OvdSIN6?{7
z=&^k0=r9-{0n^afBhk4F==LFq*gvPb`cQS4=q2C(eIFPb8qvLCKM|CQBHcrr1gV&+
z6EiQ$T>mAFVKPz+0Hb=5h7V~Mr3InfR)diLE!6utKR%m6mgxqUmG`ZSZTnF1P40NC
z`^EOa2nFYP%U|5LP=S2QetEB3updvoH$psvzj|?hKe15fPVD_LiTg9dui-<QGpAmb
zGvn2JrVoHTF~ezI!M^oY;pVc$Uc*ZK9XkBK_oqDitI%y7Bqi;kJ>`&J=Zvn+Kgy5J
z5dRPAasPQy#5kK>ffO4wcaTxx_z2P%h8pSFo5~+n&sg1!Bha4^llbxp63G!mQH-u>
z7$jBv!(R58%*yoz=RAIbXB&Ewan3_42Mv}<_}?t~Pe|ojzHmJ!+ckNJt^ON>`*PGr
zn1y!JVaD`xKVty>sZ8K$u$jtvWe4P52xs2TJOu2FJ0<Q<JQ*}a+$r{s9q&uao9wz{
zX(1^{9>Oai&THj2I-eb#41Rugj27HqAfjpCCEU^J$NU9<@?=ZJ)c5y6Hz>fFNoOFX
zAp6f&cH5SklilRWf4t-Am!`defoO9|bA%`I0b@Lj0J~39gOY_$)-XLpnW5og$|?)Y
z?uQzsrNfWLJ7R2EH*DfVr(R}cxY68+fBLiK#_-!p>jcD&sVb+kkm;8ver6MdX7^63
zkR8~ie@da8p7jrK*@k?B^63;x1M96{kXhDKrFz{e`V#eRWF&=>-UR|L0s3-2p+#Wo
zh4Ye3{wSqzn5b1IVjhyD^iC}GAG~(oBNsi@?f$QKB_)p*+gc%>R<FW$5~4YP8*_oA
zy!!2Xn>1tTNC31b5Vz3`0}_7spfe3%M&<n}csRgPxP4E~_+OW0N!j(KGu*yb3R@;Y
zbYt$jVy$w?WEmWgY=#?>^P5shPyiTtz0>+R1|s)hE!NE9l6#yKoojau!4OzwySHoO
zCC}Gm>A;R<VcC+fblF`!Ri%l!0`$_5J63Q)m8r-Kb>D~d4@Nhin_lkJ(MM4yJf}#0
z7nNI9#+BF$_Yq80UT~76>n_`87&^(l9UdTX^d#uAw{5rzA%Z+Ji-O`K(@iPiJu8m=
zDkQ{0zy?$>qc(5m^+smi;JniT$pM;XaT)UZI_)wjGzD{cD8mk53f?w)O+y^Zu72yb
z9-6Dse?tDRQLCYwu9FfLwoda~;nSa*=Vg8vJz-a6{#DvJkeHCLM%YI*r61-k-xGc{
zR&!0o6_jAxjWu`4Gkq_t725tOG)TWGz4kdX3L!);hpx?1-8KGfsqdeS8Q71lx4XT&
z>uCPYy}wFz+}$`u8?G+Kcmql;9c8Eyp3+b2&)jCps_>?FeqX%wOx74WXLnD}tWWtc
z(GXnPrL2ElAEXyr85%u!R8pC9_a?Dm9DawhhaxJ(UA)z^_~NkinM3tV67v>1DwoO_
z^X1w-R69BV_S@sXX!{k!=dNEs1A%Bp51pd;?(f+<i+{3nK+s?UO#1qQ-20fVz2Ec&
zl4%a4n6;m?9`H57#YADEg$e<mB8ltU8Hd=U!uPwY<}57$cyh)GW8KWc)muS6IK~dE
zkJD3doirNVMm5lXlbcif5I0aKSQMGpb%IY_lAXDK2A#i2#aSCqWFBXKAq?IeB<Uw2
zX5ah_W3ahXAQd_Fi9UbYY9^U1rA6n9T<5nud@>2IAjT&D;4XM*rYXNC>@BPN8CeH?
zy>QFS@Gh8RcRj>502f2gQayyBr+A3;&&oKi-&^?}R*e|H*#M?O2W_f&ewB3JL?K_N
zD_0s0;ENdhZWY{wbQgUw`Tt(Jy7Q3Q_^Xf|Ew6*p%2azph_kmp@gSF<Y4L%?s@S`w
zU+Of`g0jrRc-F(u;wPi4{@lH_g{6~oPt~=B&Mm8a=87@1|38|}J08ovf8&>xi;OEP
z$t*i$XRqv;nJqIryKD;C%HBfu%8nu<Bv}ce%w#2m2<i7Z-M^<l?mwQ_{d99(=lT79
z#&Nul=taWgB2aum&QNc<Eio2qg&94~8u%<zG0})s759$C7}dH^dJd%I0;Kq~4Hhj_
zG5VY-pkqx{geCr(7tQ_prY9Sa?DM=xjXq)to@JOHf@$zCl6tuN&mVlS2!#a(hh`N+
z2}7a-Us=75H=7apJ*nj0$YNTT3q3-ZabIe3c>^PQr&a=7WXiT`+tIWMVhK3!NQsF-
z&jP*3@b1vw^C6<)U6GZ<52+tyi<4un>;_6#I!_vhJyB=X1(pNsApv6}m){}EP$h28
zKWOo~(LB*cP5%-bvB~0z0=c)@`X4?0aY|g!r`rYuyteys?liz;$aVOJUQga$R#S&+
z`7Fk^x>Q~J?}PV)-o!KJMLM-yP79ahwPBYE=Sa9*KI|NTPgZy^VHJzj5%uw!NG0#)
zBD0s-9NcfP%<q!c_J`GXqtk7O6#o-G(qaYQD|ho3etv!r&_T2VXa=;lhKC=|Y@sl^
zM|74jJvscc2k7bcU+=HM!m<1Ie<!)sncN)Y%m21U4tML9zj}^aXbr>Y6X++7jef;<
z@1Ls_**%fJ3;ZXb5`tU|hM(XmDbYWw7`1nk%c!KkQC(inSVD`DOb9!kz1glcV5>2S
zUpMt*O;ZT{5XdnDU$O?p`fYSmaa1!l2<5-I%56&&n%4{mi<nY8lJ|RCxAOhF=7F5O
zP}fJCPZnYkWY`z(g!f-$`-Lnq=Q|%gCS?GUD|qk`t2>gX(Du{2ru&M|#)JpXA-u%9
z09<+vdtq>rY#}r@c<}4D7&zR0dnj+ehJPKj0BwK1XTju2K|8i@33<i;A^-UM_b(vk
z*e0ESot^C~O%P!LQv=g`NBxyEvr9g|TV2d<noi&S1pLE^E4NR$*Z?r~b~p7j{=Mi<
z0L;HV$_K^c>+j9AcRwagNRT$-k`j>oyVv>X4K3if0}kC@#`}>~Z)j?1U5*&tJMn94
ze=(^eqN1-~M&a%3?yAYhJyrM3!-$*eYPoQ_I%{{XPf3s9AS1dVvZh=q@w|lAJgQwD
zk3jw@R!5fuZuvPG-e~`*o~51kw;`Vm3s|KI*u8O89R_Z6JjRuM`J-+i2*eAnut<Yc
zUp0%PkH)5WIe#?^$9fTQ0w{-qc490j6n5^Ne!pi9ATQ~o)xrfez>xj(gGIdaOp^vC
zZ2RIOJYTM_Hk%OC7dZAcSmTi<+AH3ZwnUFJPSCWuN+7cLC8L|%OJ@B3*gOYl0O1{)
zs8-JVi%gmYAgqQZm5*Bun-K=5$@=Y}OuTd{BkMSBYjf!N=I?+)$$M<%8Z)ydWqKqG
zQUQqv@ae$oCn@DuY9n5~lDZxT<HIV0m9!cZBUu!C0sA!$m04Qci+aQvge!fECa^HO
z_*2b73OX_;W!(f9Vsz53C<}^_@XK!b^=T0qb~c+769S20;L(Bv0p<Yk7A_DMu&^Yl
zC}`u}P9{!yVI7Q)Qd*9lU|{%QSAT88_N97xxjB$jP}`q$wW^R?^2eS}&n;CjSx>+N
z=yDcl22?NvL;nVlT2eqBhp`SYV(GTP?2|cY*JwNrwBjlV280J`qQtRL%xWs=%3%1?
zn?yeD_Y{Lr-Iv-2rVgy^rV1HW{ai-*eZrqdb%??+vx>EE$z*yueruxr^S5u$Eq_cD
zy7K#0Qs-9VKaG?YsK>vfR%KxF>v$cU73t)iRvfIVBQGfBh|bNo%HEML)K*Evm1S(d
zjvpkP_4TED;gSd{r;bahP+Jyb;4^8tt^Tg|6G~MSHL{IGLLeQ6r{yVv-)r!?C&yDt
zNJ!|$jXqJ*jhTyHaXOj65d3rUeyD{WBj@Muf5{pqj$_5|pli|$;N;D}F7-s2`D|H9
zV#(Cj$c}@o2mgoz-{v=xVg%68cDPCrEFcngf(S|xx0)_sraRy4p1oZI3nC;aUfVU-
z1@*XCYEQcO`dRElP{2)1iSl(;jOQC`q_Xs4Nu=>>F79x{kWlTng7Le9z%fC*P&Tr@
zN$lszY)P&TuBAFETqN_5RRyqX<?j7yu@-i1g}7tgP?zb^=SudCYks+G19hk;ULPJ-
z+tnMH!KB{eui4|vC4qTd)C6d({7aa>?;KCMip)Bz$+4d*+u%(uW;2MmfnRpPFG<0g
zs|cr~z4+><jaW*vNi!p|PO*G;)!^V@fEMU+?)vlD7!56ZT>C8M-daAs4)NlFsF#3P
zpExpJ{n79XHvvI-BDDG+ccnLcXDv>8EKVlw{hfg2<5*Y5+4i*UHQk@zTADBBvYuG?
zRSJOI8o1wuON+`jx00JwKTedk7gcODf&?~7elhvpeGouZvtu!-Im_IlU=RVP?qLx;
zUe3ZN529npP`nEJS8A2#zsF9c>)ysrc&Xu<q3X*zR|!KaN{R~cr!WfGz-bC}_7q~m
z#67^35%}6sl9-%raSzIIn&oyw8@#`{U4wW~E%;X!XMAX>WsX_pDmX5yOxvPyeE<e4
z-dKaLlLLwD(crfM4#4U6!7Px`f}C!C{tj!B=<-nfvOkda5nLqHi_+QG?I0T~cpJ7U
z07dhuHAFa+{sZ~mw)$}_^4dUDlYR*%Ytn#u9LV?i*8&DJ6W5mIc=4ZxL)Q(EvLoM{
zN4=RfbT~~ltT@zSq|tlk92Z%X^K?TL-}hD?Ci&FmWhEs`A3ifqKYWy2$VidElkU>o
zGNsf;(G}Y(M~TJ$t`WYWD>2zUwowB*;dmTIxfvP2T{Z0A<Sy7~EiX@1Aik->98XaZ
z)A!Z9gx^@JZ&ML7u2&pt#um>lSP4%Je+H;LPSkjNp$-RiU6GFHx19`o9Zy;}T7CWQ
zlmOO9b53#o8&$)D3kQF6uY{GZ@6Zt%_w2p~fB_(^w(vvj1v#UwstnE_+_I^kI{x{J
zv_5yTYV4RTl<zlm9f(c<+=um32!|Z-x-%~<yW0+CkAYBjx@>W}j8H`pFQF$;)<Hh?
zLQy~wd4v3XA(P;l({Uw@ZagUt+HJb@5o;5(<nb2;4l~(U3aNec=bbWQSs9upn;EM%
z9x|)=ganA~2sc_?P~7`dy)|f;#AoNoCs0=EDlk#n6UY|X``6|iI+lVhtfd7s$dp_D
z7Lk~bV`EFcxt2eCXl2I&Waj}=Vt?5%x%j)p;~|ZkFO4MW`&V{L8c&Bsr5|iRvo*Tv
z{g~JOy`%0}maGg8DeYrEs#6u~==Tlxtv~)x3s82)h-&3^_(uP#ml=>1fc9{JKwyze
z7|_m;7!TA4ScA?q-wQ^fX~@2<7uHWW;BF%U4+!HH!gqOS1IDsu_r`02Kr~|EJ+6-^
z#}KC6aKLu~&_|shu2>i-KyB7IPX6Dgm7!du1JCtCeVqFBwJ7TyGHWZ_R9qP8h%N`+
zYcOOc%TJ!zz_t#fFT=)fx~lh{bIIm|3h%RJJ6<7SZT7UWHLu&ZZv)5UsWia}Z}{x)
z>&z8Tp)LX!_RJqbqRX<(G<NFS%E^3lb(IF(1{LMt3hwPoQ7r5f`BZ+hRq9#k6ICU!
z7;m&9rfVS$*d&)^WkSZ{U84!NB;SnJrkNy>Zxt@c^WCXi5G0!y&eBi-qdj9J3YN32
zgQp^w-&)lopvK}XSFtg2*}FN*r;P#7k^>~canc(~8Bp?ff#gm|XdfOaL?IA>tTy2W
z<A^ROUxx^=C}1D9Bd76pCqD8oLr~}&1W+4f+#-2)B5!~_sidUuK<Tj)rQ;-y!qtbU
zcCAe@%gzb)I_Q$shj+5&(JCclvBVz+H-~I!RekF@l2;nsr5BWSG;~W7Ro`08i*=`t
z-sbTf>aKGcwWoL{f7t+|)j5idyYNtA!PJvZ(^AUpApsfh+-`hLQZr3?`S1PxsU}Dv
ze8dP1PqD+b3cdT;5PfiAU}svaJM(-P-B(!|0^LuUV;I_%cVkzmP$Q|&DH+3zU0W1>
zxW4)8GwBWAx)zLgV45U-l<@B`0oar_&dxs$g0>EFgHQi}JmT`M5)A&3dDFqHKfn|J
z!D0Lg+^CHiqR9O`B6^)B4t|a{{=7}yFf2E`!q*uO0xtk{W2n7d$`sqI_V;fejWK3l
zr&{VNgOrR*o3{ikm5nnT<u#l}*;8zb`@Wj?z1V~v#jlM7wdU0-O;4%*NQ@XIl1Sc(
zC8CvK8;U1U&|RAwthQBaA*nG|H{~pqH*CYt9W@&`2g&uO$uF5bwZG{-3DinYSilP<
zr=h}QbWOr-FLp?mP8gYTfNCCMH`?KFL>e{An3!AeOF%?DHVRSmy7yUtPQw4-XWM4e
z3>;C$LbuNj&NK#%F)+ly2@Pwo>vN{7YilsNak_v122W`9xuS+!?0`t;=AXxZL~P>t
zaJ5`iLF4iAVmvKdq^yLH)l`Zq9?HfD1Zt~e`VOv&nb*pz3w;OWzuMPOT&*V8rIhw{
z-s1DlLb?6oK5E~(9H9;1lVy+3Lff(EN1j1@qc}0WWQkAeIBiZZ$$$RUalle&I?|}e
z=^bGgjS&l9mYT4Q?XP?NK!Vn^u2V&j=5I;xQ3+z+sYs_k`&L??m9J0hH<;(K7s2fh
z5>6=Ja#seUpTZp2jhmCA`0cRLBv{rd6dXK0?!FF;VDZoG4JcMH68z38Ad?`W&!mwh
z)|CE9tKqgF(slH2w{%E=ueY_;xUQ6bG5ZD$@l2EG3gjNNw%bhfK0Ws<G}y+qmbvkA
zxl6OYU8V8|O8IsFa)#2Pa|9BSIZl@T5@ENTxNn36Lp<Q$&(;aRpSLhERPA)n1{M@C
z3gj#W<ZU~!gtu6xI4k@x#+MKwLTRxBnf_|QDjiCM5@r5LAGR59m)yq$cbg=IguF}b
z+_iu0<Cb7!p@zaESSC2}%r-$5$v^((;4j3Tef8AWw11`$#q8c&`t_N?lzaB<>@0i&
zM-Zjz2whk826jiJEfj1RNY{aSj3ZDx6Y|o)t1`ygKCJMRe9>;#uSh<t$;KeWbJ0JV
zeXoeT-^K^v+ZB12<?Q3QZiM^;vT{@4@o(hAM?!HymV)rfN=hKeVZo#2wfmAH*OSPz
z)!C5dLV=)J-L5!lUlJwaYMYB81AW%c1L3SVItjy?NhMX?>|4*U2?9{F7h^yv2S`+w
z8WAC(M*nK4dexdcM-9ayOTt=3O>+vZtsgylRPp7CHcuKGD{I8yx!Vmg28<V`R$3nF
zuDsT(nS{Eci(0C3eR9S3_*%Vr6CD~$cCT);!9nS=_bB^{AV=1q56s?q#ZgQRRH?uT
z0Wj?x)E%x+rh|PHQPTvSAjK#`t@57Dr#LIOavHntl|Q$XmB8COB)s+9mC9>Ve$Eb0
zmYsqS@^*~NJ~s_glPl;??mG+n7Z^_NzJ`p>vU%HI+l%{u7-<S~FXNiGm?9-#`_)Nr
z_`!c?HRZWlPuJ20<rV!-i~f5D4CJun3cuIC>{0BX<D|(Gk6+82WP>duktV#ktFvP-
z2v>uF1Vh+}+IK<KEOQvPf_G>T1W<dR;yGhYKpF5+ji<$Cll8xi<%k6Ema=&WyR<Zs
zIhIBxL7Bu-$;{!y<}p8w7mji|;N@Zyy$Mkif3VJn<82zrKW3@lxO(*Nhs}pN19E_B
z6~PYTZQ^+Z^1^vIb+WxD!c+tdob5*i$<QFGQ1n2|xDNMV!bLCc40Wq%3AvT%u?>v^
zhiRA?Knmt$^{DgN1Aq~W-#UiiTtK!Sx3Q>1_bowB*iSZ~w!XS5@@CYH_U?lt-mwCV
ztLlB{b)oZoRdDo#(;Z6;U#@k|HS`OV;=<cHK6T`A|8_~%D=Ka;o6t1QjUM>SOCJew
zWmjSJCrAT1w)MWx!-6E}Ck0)El4Q|s$uC;Y(kC!t{!>kX^Bq`_JUt;Ldq?J(>r+)c
zn6|<J0X{HMwhOrVH8uAD>zt=2a-c+1|IF#xE$$3g7o)>%V?49V#v{+8gk9D@zdZ=S
zXyV=Z;gy7rUjnUfM^}Mg46iH-Eir8JtL>>W?v2)~UOyd;P!?r+zkhyp%CzH55d$mN
z&H*-ZG+~Tc<_<toN^E^!es_AtOcq)<YCi7%(x2b65BB%D>;KXhdBGb7XBKE*#&&UK
zM+7yrlUWAd)kGAqqhzvtP%31HR=%mNnuFrTvI(_%BhG>}&XkrCkRL6w@cI%CVFec~
ztHs2*51P-de1R}RcafF8wmrxbIsLhH>Iz`$uN&s~k<kuxTVQTSrqb`;DOcS6kGwVU
zbZW||`!ikKgEcRK*jcO)o!rP*QO`{(HZyW_rK-rI3(~<KKjjRt8U4m(ka0lYsGwcC
z5xJkKm)W$wFRD4<=fOH<5NoS$)F=;yEMORW<|@)S0_<dSddX_sc?4bL(5$_0J|K8A
zxNMX`ot%+-UMvY-Lj+1aDG1~1LHF$NB_s_hXyty;3KX$;CQn$uwf;oT8H520P<N+g
zoBxJRelSZUkh!wJ6Qq*Rij6lWcroa_q?(tvH>H;bmu9BH*Qd!D^3_aA5+RJ+4)XWw
z=<owe#~mTndf}DCFjS4xZ-W0JA#!jFf*uJDEt@BKszrpYtP`9a@%Q4`()Gy>NA2~D
z%hx2ult8oulTc~tv3i-i;mgG%(nuJQ8%Pbg1JVzE)DO=BGg=lCS?~a6;if<Y@3*Pb
z<3u{RW6+s^40-NXYV!|p?fp>@|L>e9<m;6fCYRS-Ba`J~VpPEbJ;hgByU{l`US?Zs
zYoHGBK`F=<6JMiEP%9{4e`^0Jt>@{-2J<pV%iAu3H&0mDpkfmXC5IBx!{TxRCd9$-
z-}JYwuhS>6kwr=IM#Ln^O7wq1W8@@mmu5Y;q_TP%AoY)I?w6nSj1Ry)pvq>AE~wsE
z^YYtl;zro~k`K1$O=f?kA_TQKQ0`I=5YGc$*#U)2g{Vl7xzO)G>7;%nHzR1!$y`7h
z;RnHR^yWR^0Ta8sci%un7$jHa*?$fD?+a@6=#tpw{TJ91wd%ylwJo)V+aF2gdjBG>
ztadUl#og$0$-*>B9!MV!3y2TX=4SW3zmh8qiN4IeCGh)$Aq5H&!@I6Z4hw*cE_*vH
zD|!A-BQ7fYCg#xSC%K%277ZQUxFFy*0FNWEhxIyJLsK(Vl_mJ!$VudsG_Qa_{YiOr
z$ui9K&QhLkw5@5te3$OrwtWl79ux+sk+HFQw`~Y<!VVb@{ONhV@L+`Dq>};pFz`Z<
zfem*$>woX=-7ab&H2aF$mfnE`A!^_r>wym8!w?-#PDcrPE!L!+2NE=KJf_MkVf?*a
zC8Y3ogJ?9vD^cY(g(wPx9ZhRf-^7I%r&wspgCkRG_yzDmhlhtr_@vU_5BSm8sLvGI
zP0z_)zUZ2k&}@^Xkp6k`W<lzP!2Q*cd>9Jm<&cUDnE{j+qOZ5+X1)s#d(s4I23n6z
z9JJ4qY>IlVKCv~bYRg{ny)hS1U+jQnN|^ZDdBq#Mq8MCxjMJ&CGVO|VutJbKO|6~9
z`JyyrB20^(0rB#^Ip`BSNm3i%`nb-do`irMtiJwBD<e9V@27wJ*7XZ=o+PmZ4`t9h
z5;f*EF;`*~6YiZTqP3V!2WTK>7pAH_R58cgcNx-Ndu62!Z56JEvR<wdhmXLssk_Xu
zh%7%0R|>P(H`d*ByG#%0I%;0S8zC+;fDhlAc{S?r99wHqecseocGi2^tZ%0IK4j-K
z-aY|l<~~$KFkwCT7jL4Xa5kllk0(KWhD6fZ`}CXs`5Q-x_XzsT?nf0|J?li!IXa-;
z<PtWl=uc(o9Bp^V-c`KGbvxP6`9)jX-w#7>Dyg<{2?>`Y7EFru0Y#N!T=o6<^aSgZ
z17@gTlpPhuQeewrSjXI6fQ$RgpaM#B%Nf{6{I!X2&@NUuG5px?ZHQGPY<7OtQc^#v
zh-Bc13thY!*{F(%BQ_ZVfu51!$`&o;8NLqmuW!G`?Z-}jAen*(s|NF$=5-G!E?U5C
z&I3&pGP$S{V-uT%!tl*v^flDH6Hwz%$luxvPJjJMjDmgB59D_PRJt**22z(ZHJq|X
zfBgEjs_$Gy1ivUH$6%SKZI$7t0ZRQzL=36bkmz-8aA=4gHkd6LErgUp^k{>@y@z$1
zu<CQOjXBCS%(=E|%$gKh=zqAT@)3=OU7XdFEPr>;MV70dT>Mo(aVD<!mtTmR94{?f
ztB*1@(xS;_OFwt}6C>J~TBq7`VJvmEVDVqRJq9I%_!}Fkt&yi~>ln6uX~RQ;<X(zU
z7XAmBL{i)OU|;m76FIg~NLGZ+0!|M+rGOn3N4<s+MdyC`|IP?8WYu|mEH1_quh<;9
z_~+pZ{TOElr&so4#TqT9Kh=kSK7a@aEv>C)+UqHvt>?LN->V9)r2EbL`gC)rh5f2D
z%wCOo2QE#j7%Z8Wd{SSA-xy*rLriFFM!{R=pQa@%KW=Gvl2LTEd}A2sxK}#bT24OH
zCFPk;Hp6MjgCi+xgoX9;O)z_<#tT1)H(aq!ko4K8YIdDzs$yZ2zfKB=;PqEO>Y$4z
zK%Ig_-u?LZCg5j9PyyerGWa4@{dPC0g?kSr7`X2oIuG;4!l-5oGS&WqEWMEZJ!Gq#
zHfH@Na`T(g)%S+q3ua(JfS}30^|{Vg&B9{N=;dz`RF9SWXJ_0pu9#Js(lnR5qlP++
zW?wXfFV`7u*2N9(D1+Q0AhW#Kp@3bOuGNO<o)Os!Bto)Lm}gsW`GTxm7R?^6plxe5
z>S)e**tb=oRB=Jd#l8O{U$Ro^XK6+iwPa@zGuXW#D_PizLbO}_cph<EHdk{TE$U?E
z&EFYNyCP~r<Yq&DncKG~k;f8|+#_0rAGLj8iXee4`3Gswf@FlN38HJGq^SQ`di!BI
zG*R+Hdt923{S6ZgywTfNElURpb`p&W*c`^<{i+SQIimSRL|(q2m1JU08~AfN|K-c9
z*L3Q#_3=12xFAHIe(n;*AHW*A*t?y*o4JBRi8mDD`FpW6k$?;pvLUCZPhsn_74S7u
zv9R$J%X)Zsx`4}1F_I%X?8%FUPEI5syPj(UK78|-cCXcJ9~!LJ1?=$YA0Ye4V7Qkc
zmB-3z5t(4bi`z;0fdKMf*Tr@>NFr!-F8==`q(@?SDce(9teTeYVvkHL7Roy-QU2mZ
z0OESYDdOC5v$Ipy#!<0BgndCWRy&YhmfO-IY9(wxX1N|yx4M*QXe&W;Nc-~o>(v-Z
zODs3VbWk>^$*JN(kMCz^SIpW^cwVQoR^x5#6Aq*OP#f~7)XEMdJPfrB8f{oJ1#X?(
zd5QCHd!gHMvlmekAR!a$HQ__tB^NqyLKxA($IZdVfC}&jr2(QbMpE5gB$+BFK8Hx4
zdoxX&0AJhy4`JJO|CO`LOYW{}oB4IXnkaVfO2}fsxh0kp-?yYj6=cEpYjJsJNwI5z
zysa5}H_!ycSQ(l`6FzeUewn|&KQq}v_C<Bim&U(5=uYgP@kC#7%dNUBwrtCpRNQTg
z7cU(BG5Z|B!vH;mM!e}#efJ?FD4Q6pobBdjY3`0PVnlY?s|c)6%tz6;eL$kU?Ez2u
z4x=>}?LGZQ2`^V8mDn8BqFMNk9%s#P55RpA%V#!89)(M#e3sH9$992A;UG|&=($Oq
zsV`#2fHtDr4kyG-Hl%|oLZ5dKTt8!D0&_IJ`$(=T9`P&VvKNI|uek;?i?vll@#b3-
z=`DVp7hnQm{qr%0nI_5Mt6}z;!v7Y)R%63Ig+IQqh&x8Et{rk~%7wKmdaJdroUqpB
z;ZCL*Y4iJ-_KP*QZ$ytwO=W17n0P-zqkznve~bDyMV~tnD)`@%&(bmkDr`xx8mx+r
z01M{DvvdfUC4PY&E4U*}JSe?*j5n{eRBzn9i+ADdB=<5PczDOr5tPLrnps%GR$FJs
z$5{q`(U^fG!3P{zFK73XEG<RlP?29h-}|tC(*@SQ@ZIQ7@@tI2?%C*K$F3d$ikhwZ
ze0A1GZ%LgRtPn_JT4Il``&KT(^iBTw1llJBZDt#Yf`9JCjNhbnn+`vk=;Mcbk%{Ol
z2a^4sjm2LJ3E^kvel0Eth-(n(L&oKd@Wv{@&1mA<aT5wK56AJ(Fw}DBoW!kTK%p)F
z@=SK)CcE`s<SMa=pvFggK@dK`WJEJCb&LX6w$_lgiB@{9C*J4Q3d%HwSK(4_#*asi
zAROv10x1lXcMtCrs9jN@(#=>=WL7L)(VojV&(*z~nS)(pP|;`{hs*@v9!s+@kH^3^
zCu7i#xLaA2WCd{7hFrbWYV=Y+j!z>UdQc+xsM$P~Zyqhsi5?xxsSz?XW-segjt-EW
zfwM<w>RetKRD^4!Q!0S^3+z~HDokGIViOY528JCRpQujls%#L<R*qA2f0h(xb)9|P
zvTV}GJzy1EtL!D^Cmlg3%O$GAy<9$?io4xoH7a;eoLJ3_rz%SAnHas~8R|juAw1dX
z2A+$i#t=Uiwx;Rh^thlg_`0n>69;9S?RENyK@$k&g?!sjUvt9>=^V`(GaVecRU+eV
z1k8E@TU9dDNw@S#_p})vG=^g0c(S}wQm)jB4qvhvK6v+mmJ_DN=bOJ?@%jxLQ-g{q
zY^{>ba9J^?C(44734&P~-Mlck8K@Drn&NtD^h>|GbfiG_PWG;Gl_JM#s~Y;-Zd~M=
zc>F3pGul3BOq9u3tHI&V)%|a1w|u)FHTwOZKf`?Qc19pKS`MTlcJ&o+E_eyQ0*J8d
z%Y_I5$@5+jRW7JtfUf@sBcEXC{Tzye-}{>q?~0=!QwT0D_RrKlV7r6R0T$;1l1gFb
zV*7q{s4Exl^|Sbx9jJNUEY5KBMFrc`|5eFL8@%_<f_U!Wl6B&{uFDj-x$44Lnb|jM
zsWYs~%E<_96qY53=0!2mxwu2WFDW|uG&L3tT#&nNoi2xP8yn3(zfipr&0~X#591=!
zrie6P`~K{_Y7rSvTK+y9Xy7U+Nh3*7c#0$QS*ofLau8RipRDlw;oLDr*{hWQiOR*s
z#oEE4LBFL;E7hcbOZG_+FwBcNC9S4y=A@qZHb(J^h3TIjjfjO}Nx*se$q%sOg08*c
zCjoo(S7fdV8qwrwkMl#*@E6^!)|(o%zsm2sadX7Yzh&gbL&IN(-VcV#94Nf1Scp@Y
zRSJ^*=&=~jXSLyD;h|UwV=u^xoYIR@MzTi;@l$!4-9TfjB+Bn7%zeI=@*Y&yE55r|
zA2K#HHgeBi4pxn=eUZn|^iXltwDt??w5%jo?5pn9*H;H#a}VKzXd^mo-)gN!CCa28
z-Zx-Ol#%aqKOD6&4m1A^N|Al6=0Di-Z9O$&@fiBCUmNf1AWP!tS=}4KO_=!vFn>t5
z`Ji1>#xe#YkNt~;#|z_*Z|mgE4ya;rP`FrFt$RAbFTLJuH-l#v_8qY9mSU0B9|sAb
zIx7JaoV)Npb{7xo$6e#Zf0nCO<%dxhjR%HOTlSR4P{sH<WDOLKqLnBV5c`t)xnK?^
zFNhRJy@BboP!2wPtb27Af;Nl4g$+a{qZcec-=MA{Z>^3gFcj*s*SnQ`XF;u9OG7uh
z=Nx&|TVvB!IOV6Df8VrzE;2-sa{h`XmV;PWeWzXkIQOaujlk4jC47haCJGbhx0|&P
zsKtmy-uQOW_~7jU!Fj6RVfW1t{Fe7u%YlVNqGU2EOofhHws95E9=dXWn^#}0?7&B1
zq4wJrbZSXCTdTp%k~Ey;DFxCr>fT6OPfibQW-i85Gkan9#lW5HCPbfKf2nu`sdKog
zzQ5uZk!|Ib=?IXcI7yA2AXRlxQhK~~T-1`E{!{TvF1tr>q)UvVM!Y;ez^iDy4Ji-_
zCv*pBIS%Ob7}#$a0mU7rJbkt$H4()QFojxLdhYn6Dx;2z59MaIjxUeR!J^Z;TJzel
zg2Kz?v>$Kf1mr9J@6U}D1S#DpQHp2NxcicS24AreSaae*oHrQS9;dVWmi<t6P|eAa
zv_(mSnUT8p#nSN<iO-(IThGT8o^LbB6>6KC?~gN_le4elI=G*T=r^6`+W#h;t|p}Z
zNreH3R^YnswH#{rvb?Iv6tq)q&r#vz@f?*1&+|Nz(bwk^3!g~Q<Lsf%%4Qbwyf-M3
zs$RW;1Dof<!X^28dx38d0h$&EXc+L^rI?uW0Au3|*}>vPH44=aU}!{PYsYGrX_tQa
zdOvfHw$A>M?7%h$!Jd4&zScvT%9Jt}m9oPCQKD{M+CIy=^^zH?iMLD9>$c*GcC7rl
zg9<51sh=B$DN|zVfU&=o_pK~!#kWYu;rZy^bn8pEAG|#Mu1#i~@spr7Y6DoK$!-)Z
zd|Y4&0zndou-t;l4B%9+?{dTT1NZEzm?&`;-e`68E}$)%3UAqq#ovFH_!To?lj^D-
zH!@%dAyhq9MLMiR@9<z02ck*nj9C&$AKrmUp-veW?I%GO7}v#&ji%ky9~UxS$-5XO
zf2Mh`bPzL2<pA=TLT37BiwbljXC#@M;=^apDs(v8d2QPaj{i-)+MQRfK60C%J2=YD
z&GlDo_9;p+tQw?r<7E!%^y#{A8Jmxl05|qp8HTNA`N|!+Lw)V!xE5?&Yz|J6-q0{=
zwB`c!V%H%%&bdC3+O{7o4n<~PJ%{)9{>~o%9d$CgHdx)5Xjk<0Z_w#Z>8q0CYgLtN
z_ud?|&-I2azc4+Rj{Yr|YV={=eB(KpuTwl0rbG*dFcFw5u^HFu56ID$QJ>_iOzj1E
zLzV3NjPGFwuN9?9LA)Qt*x4%;BKFcDQot0O*W8rWv!fDn<T(hv?|bbA1|}g>&OWcK
z<?Sz*mbVV&u2@oQs;egtXem>8Nj{<M6nz=*Yy>YR=)}0o=;xS{Kc;9A!g;|(rA8SO
zr}&8P9AlZIM2;rprKG4i6m<QPgX|;C(j)8=F>99tY}5s8l%{k&Bl;o1z=aImlT|%B
zRKZU#bbij-hv?7TTwL&$5fKr2@iW7lx|*$ozC=%-o0WxwLTP7m;K&3qUU+=CcK7_%
zuq$xBEdL_s%dxHJVPaFvNg^0_bcj33x9)omD~+6+8@Ig75>(#`^s*OS&gi&~i@}y)
zwq*P!w0~U`e>i3DaBXHfuiWCV-|s77J`V+`Llev;KnAs;K3_leV+(ly_jr+fnN?aP
z4mxV;)%A5pL7J&bH4dPEWT@w!{-%Kd&Gs!=C8>~2Ro3&5vxG6LOQY?nBjDKe-9Hrl
zCOCdgNCOA8_)5-IKu$B@-sf8^Dw)+Ok4$e=9=4#FlKnD5U@u(~Ecnb}I`Wb@?V*d4
zGua%D{oGFyriPo92er$PehjOgM&mXJ{GRxiilongjeXkQ8NRy_Q7!%P04Zr+-jT`4
zwBePVA?o~n`$l6q^i`^+LB%D-J4TO<t0s&RD(ZoF9C<0J>YP#iP|msbZw*lXUU~W~
zw~%6mW%3*}XX`DFzS?zFff+X7b6EqQ3NtFCDKjj*;(&mundVx>V&SIun8uB#x*bFt
zaz5vB1VGunviP4rmYobY)RqpM0tZ&fwj^3L)N{{yiCkvlIoB^m<g+^!7w0KN$#)5A
zSWzx7%B3gv>P7ue3ot~m{B~Drz2Td&@7qsM?2fH9a4|SF8j~;gEFT|U5Gc-A1KHu-
z&FB(#RY<*Kk4vNKQV*>#ZpaA>HRXQFtIW)A*y*YSueVc$gkqA=NI1dqe<1<+ISPr)
zW3=Rp{Z0O&Y^WFgc-xlLLxY1b{9O*83&V^F!l<IzshEh#2D-0UzCL%>RJ(BIN6a_p
z$vc%k7{Z2jWjE{ztl<3Ga;qmLhsoti%QIo<wYDcVISvEbqjqV+xTwYKCpJvi!uZI}
zT`i_pvjtb>_}abQlMYcZDa0?i4cQtAYt-K)m70Y}VPvkHBO)NCWQmQGLrh^!Nn6LV
z7>t~tMoem?5>9OOHJ0fVwF3zPl<<TK4;gOf+qd#XznF`z6hE%xl2fELaTEq?EhsK?
zehS~`1Yt4IEmc|Cj1f+KWHBt_fF3&-lmKI8Vl6MWFbMs8Wn9(!-nP#jg`!Z=w+0`8
zpUex&xjx@&<0|+p_<B_Z2JO{?7%i!L=jR#Y;|evqasNwta7j=ts%vPVXjDi3I@mcr
zkN{Dqtx6O3<zAJF#_lJ=ndJ`gE_U84J4=1nQrN8h(g*zpSbi!H(hygf|J&bdcnzVY
zO=XpshkUGI0M@(N!o&3Z7Hrw@V3%c@_?-I<hKU)eSdDrO8v^EyR%Q!rmpy!;vy`yr
zV5Ta$B*)D2aJo{LOapc;ii*6CmFU9%)%-W-ba6X5+yT{-rKss>SOID!aVxa(#bh1m
z*pH5nA2F61kRAoyp$_HpWGY=!jw^PgJ_adUgwnhj66~AmE4-0wx=63XF-%&z;v1)E
zJ&w6g9T5`~v+pNKbQAR~IkVV^okFbHDqClIP0BZsIj5LY%J>@kA?Ol*IbY+krTn!g
zNL)~cx$kRjSzf+TkL((|uFZlA9`prUU0rgVDXkz(g}1bI?(f&RuU$a?AYuKl30rjr
zCNAtPzK}c&s2R~@mdl^_s1JH+{-~@B&MU}4b+U`#?@f(<oI01T`~yZ6AOODH?o~h4
zP<gZ8X2j>tOf3HLd!~W+RqFF}eWHGQ_Ek-JsCWEVal4)f(>$O0GC4DorOpa3--O)d
zh|t2Rm0EC;OU#ZqEN1+mL!r=5(vyF+SR19T_?n2IVQX@_+H-Pp0uAn){i=IyyE$90
zK}E1V`Qu^uzyJNjKo6w3CnkIUpGTE9ghX`PoTIkp0u=e#)(tGDf>}GfL>xshIZx_$
zw%dnw(#_TA*RA>{@&>rsri;0JRJL30SCxwbR10sA&7=;b+>BGaIo6Qky#*JBg#|;r
zb6#4(_i#=#Gb(zNOo(FKYC5;dJUl*uFuembM+!8pARYzR^I60)j2yqX_tC+BJr9D2
zZUhr}@pS$7)UL|)QNvkTWpIt?rh@hvoHj>Iw(vZGq>s+;cG}pCY{SgBzN();0a^xB
zU1pdf<H=$u&B)~{T`C)cMiV`lrmu6Y5Y2xhJAj-MqMKK#Z1`uRal*L-Iy-ks_*g5-
zxwJ1ty!ECWcxbTk2VTUPnPd`gY-=JEy1`;vCQ>i6Z2xy1cgqAK)A}`Vv29fW36uix
z0I0El0YYI1hvBfp?tA_-&x`;6KwNBq2U%QvKs4_~w*5flB@;tK>a$eLoR?OD?O%oc
zgZ;##IA^Asz#mE17;YieA=n42JNPSm%U`Xvx@KDEHqY@+dnF!7^b7VG805pjlj>dC
zyz=}}IAe-x>`rF!_>#La>qqUO;g;J~J)9|Q0J^59pOtxF&lZ#GNYEM5(7(`f=TE4-
z5}QT94{L_w$H9k>{n~;+ab^y}lAKqV=~^)pYMit6`KAp#ymofq-P*hj*=5`Nw$@2K
zBp<hUy_^M_k*gq0&db#?>-kN#+DCB0$we-SfJR|_T{m{~`nR0+Sp%)+92Ng~&leCa
zB<|yEeOrr}ERlJt>4#s%Rv4Tq+<+;rd)u~kocxe^Cq)THcl-rqRWG%fzP;_>Lfs;q
zioK@xddgWbaDL<ubLP>)`I609nU@27UXj%sZ+0%f!9pn|&~JXxAJL4s`rp%gk-Znv
z)4n_yBiNNRm9BkZ%HFY0JsG>>sGXam!Axc{+sj2Wmx}#nQ_p(cKMck%o}Qj@y`eT;
zTC7@o8HIZ9_!D}%ii#egjxz_pzyG<)ws`Rh8XGZ7yY$JisDN3;Ha0~SU$>u;>bz}+
zfFiAutKg>x0Wc6YY$>LjmUMD6qru(RtE>IZfy>mzE5`%6(#>_Y1Ti@KsLsU{EotBh
zW=PeKn4uS<S;=K3ayRy*kH$PD59{fphSbvkyUWa;IX2Q*$M%p9Oda#PzHONye0ay@
zX5-+PpvI)Pl|D;Jj}=?9CAplVp3;YOOKLdE>bS@Vg2!h#D9e&9s%gs&#;%bc@)D(`
zrh-T{D*XL_qpC*XQ)gj#@bcL9dprG>GE60(eug3fuHoDCV93KT+vu6|p@%Qwp;R9+
zGA80y9JTfH*XWVr$u4{d7PeQ?)o&~*Q9^6yayVhqqBIF?CAQ_SQ9xR@7wBV^aM0Zd
zh!GV6%oFcDIs3l<y`<R7B12)z+s?<~Kh<M2KB=0;*Dn)Dp!R<MZmkwK=Sb9}rXhGn
zfr{MfkK^1olk_e4^t!sfsrz3mJ+{5J#;eGUR(Pfwr-S5Vo?a@#L^Mn>#|xwmufUA+
z_TW{3Apw2Hbg0poyO+A?6K^ccmV6EcQ&d}i8Wz?{XZhNxO5|(T`n_+tMbYY5Dqa3$
za*gMwy$Re)a_FM-*}EUrIi}MYl<kc@pe!&EI-#$+V)W{7jKzsni)nH4>Co26P^u|9
z$5S}B17zw7*O3i;+jpTFqsD{BkZ$a;@D@x1#1_ajNDl3-EU3e+nQ~Xh;ZHhunlkgb
zbLZau`0=1k&WZ8~<$Nq!%Bpuy-tNJJ&vjfV#&3GNVWLKSF@|Um@#$A=-iT%Vt6p-$
z&8$pE(vWjgS04dniG>$CfEIX|#!)KodfGr^rg~Yf`h(Ga%8c_Q)mf2!GnKwRW^fP)
zPyHm>Gz7+Hj^^aXzItywl~a0gOJj@%WLD>Wg&b?}$^`p>R}n-nsPv4CKOfWD_ojw}
zs8C3}@v<oq^vt;(T3T94*PUm~Up0?Aax;XS6)irDMyXgKZWB$Jv=^NJq-(yj12xF=
zn4VGvTBhjgjVWiCLy^f9Y}CE@+l@EGQhTMzqvgkOd-dathFAPiAH5CUiL0qSPEGv=
zl;+wK)x_se;FWQdj{j~pt}AzA?Am3P=0)jgc<S#z_i@i<6OYdxdROe=I`6TX%{brz
z7)G59O^h5+XAm16DT+EmmLrbd0jmS?juu@HEW0_WAU@ao?+S2b#QjE_Myw?0Eu>KY
z9bPgpGI<+I=WZM@F6V_pJ>zzI8{4zw;^P9^ZhU<FnV->#sRn9`*<1;w*PR+|P=-TK
z3N`PUh2L?Bu4Xr#G@_1Za=CZt&quT*I_x{NXjNxkqohlwm-2Qgn{UEi9lg+NrJg8H
zO*UhYsUh_A%jD$bW8Kx!2(y5l9z+694~cy^_#_lD3UdcQ^E3aInD!cO+yEc~y<YZa
z0WQ@N!O0q1FJdg{%lJ<wFK)!2p+^yJOx*9tyPJ`+4Ns|2!bHKnN!~hUl_}@c-N2Oh
zq0SRV8QtRXU!2SPzbOnX<!O&S(07rZGdD=b0NllnUXeYTpBMRqNqKo&KLx`NTo|5f
zjYpl1!~uEduqYq0tLh|#14${Owmef(ZX<cnPI?clVyib9rhm$e#6ME_F%k~$9++1S
z!;h6&T%=PLPr{Fo=){SOyxiP)i4x)`2R=EtcjKyt@;RCaZvQU+pi7*PM+esyV0l7g
zsHjMKV{bjpK&`hXuBb%41)f0r^4^1%+7lz{biL%etRFx+Q#7`=<^VNdDxX23;4=z#
zvvMQy)cP8oOSH5<<OyWLM)1y)Kk#Du75MLSt#y;j#S+%k8&naBI%S^#3^kKmi?l?(
z{epu}pI+EMbRXVjb!1a@Oh~Ua6cdMSRh!EPjv~0U;fN12WezJHC(ZbtULYe;4dPFh
zq+#_-BZ9;ziM(~=EZGNhX%u*3g4DCl!ZAIIwC}22g+Dykvh5NjKH;H1X*Inl7aJSf
zVCDuWs>>k+60P&RNFdE!QidmCytqk_1(yBs*XYg_CJ6kBjdi{si~L|y*3`Y9Kd0Lo
zNjA|%<Z}(|Jov&JoAY8QRYwf^Hz;Qu8y`MP!;r-QT@J)6G;y_dyOXWov9lZQ%<eMJ
zB@y3Tdn+M6(*zrY3iJ71ogOdx0%)Y<#;MFo)DlU?E8(I8wPvaX4U?B89JXd|R2MJ8
zk8}(71}={KqJa6LI@1^ImT^ZQbq|eGAaP<otYd=royWZtw4tqm1k#c*n3LB%_b}2b
zk}!(zU5IiSXl$jraqxR@&+E#IqN1Wdb``8njq)@G5?h#L4-E@1L!u7%Y(}(!=4&N%
zKJkn)He{Jxq@n^2C;%uONT3=cl|JD`nS!0>ax6)H6>C_jK?SbN%EELY-vz1?R-*2X
zv)WAzlx|SJi>!c7frmcTMv(&->%v23vSZL|LY2r??PNrS?kuBtSF!8Kq!Okol|pR|
zLkVc4rpfN6cFci_9NC64z;1JO0EQC4vf25%6?A__S_Pk!9+5)BC)KdY9X%qv9hk?b
zh<9&hQUO~w?1js*^J662Eq@TGoN#6UArSoaE5NhY9TPksF84V46MwJBiVQm2u?(w7
z2E9UiFXDon$ubeyVesF{;6MoX>HH&5BpXjJd6WyG?4Z}TINh8(bs5f;q(hVDb5rfR
zN^0DmSiPF=8Q*3CoAP`*u(2>f45*WI83&?mg+D+mY2mu>Qw1s180=&nOtOIH3`J)O
z^;P*^I}dbzRo(0xr@jOR#KH+l)J)%i$kh%SK^Q$FjI_PgQDk+0J#bAe7z8hfs-7;6
zGJh~eYM_UMKIJ@0R#W7aJ8}fBdUf%dnwkQ@a<u-iG}8<g!|#pv2H1=4F33tS0pydB
z;-#{Pfn<=!D-o>d71dCNm?FMVCA3S*KI=AO0W+zhLY?#lpY(zJzSw^0uGDVEnSJh^
zl9Uc-3Q&Zi&kSTe*UU%DlrKyZmct(!Y)cttL&?0j3!EtRvA1X6_q3?#q$G4NjYkw%
zxAaNm!<bxzqg)ao^b>l`O+v05%`G3=(uvMmk(A2xmVkTtGX_I0KPQ%}t9f46$RIzD
zRMu-~x3K12?)lGnz|uXDIdC3_;Q@%-0W(As*NZH?8U7vi(Gig6S0xQB6Lw!ENx3Z)
zy&U#go|7mJctx90M9632<Tg}NTwFe0LUi@VrVAyZ57XA3m&u=Orx|=u=@;otReuKJ
zITsaqVm4u$P2orVOtneXHNUb75fgig$1GC3yiW%0ny*QOjr_UWMsV`<suF6xyrSCp
z)dpNgYg#}MURVIm7m{X(2$4)KG0K^6=M85SXVB3%GLIK|$duxL%J)cO|FbX(Q+j3Q
zCUHfic*udAm4La)ecmJ=c1gZ24fN<fZ<=@I_xzro9u0#iXj-^-8-kKQf)b6C+BjP7
z%66SkRdem<Np|AaI5U38x<T4WflxSlI5#xr3tPXGtY2=1*u%&4e)jOB=dPGR<Q5{7
zNX3gBF^CZxgwLdF+uq|)R5-;<MUz;%#Q&Qp^q*jhoS|bx1{S$+1#oTL;$NuAiL7=o
z9W%n<Ufy858dj>u37RH^=AerRMs&64B>f;oV?Qs{Q%XRfu)Lfr&HsaAr}OfXCeOsj
z1_Kz#rfytqP?0|DB!%bb282<7$A5D2J{UB=z?9_k^!&rdS)pwZ)5G>nwMdr^?yhan
zGMIxp1JDEyW@cu;xBi6DSTnnFSQB+o19+xxu?uDmLT`tH5${uFWu2@e<UYVmE4FWu
zGe&=uGSjAHMZf@KWBk3vB_-Sgb(J@h303h{8b(9xJh{>a_V@Rz?k@Ntxo+ayq(meV
z0^%rC*AptW$M0<ckm_#7FwHx6Ft-zbU;a@cGC_ia?)%CLV)7vk+J2Ptvp&S9ct5_w
z0<L@1HX<=B5rzNI3PNQBhV(G?tJ9;6e`|TC4(GAuORZtUVpp&ICc{fCZVI9PH0-($
z(e*h9(tv1m)c!$kv&0Bpgk`NEOqC(~0shI8qFQnZM>^=_rL9r>{bv>Pd;3j(t((wR
z2`^3m?gY#O7u6)WIw*3D9`k1;)!m0cgIrDDRPR;6LW@<?mE)i`b6C;B%;jc1_vxP2
zzdhLb(bCWyA=#&P^_Tv30UPDb>6aC$$HWQO4L1Uvcfn-v3q*Cu$PsK=sbjPg<Ky1{
z{vN!6iuVuLZ@fV^=%NsYe9m&KT}9>Ps0+Ay`WZ_iskQ`6)J_+!ps{8QUX~6H4#Kwx
zJ56+kqlWyWmBO-Gc!&YruE*K9o?T@CrNzsk&}trk1$t(pt9lgedJ+u{@}7XAWccZy
zdod!voZrY*K%9}vI!xwM4?)gdQv@7g(lY%J1I$!l#x?QQoGy?CAA(Q^B0P^lsyXFR
zfv2F2i1I=8Vqa1Ha7Ywhf;ois7qB~sJVS6&SnQYI&iVch1eZx*{M`r0!*KBFZdD`(
z`F+r4F9D}z3*eAr+m>%4Br8%yJSa@TQRtfQrQR%0Pv@w2`RJquEY1f6_{{DjzB(S1
zy`O<=etUU)-|uT3iS0)$ltbfl-sdR!)RyYU(Oq$d??l1wvF3Fo7#ePgMkRWc7rm29
z#9hhujDJ+LLOxIj?hPuogj-BDodhU0W?arNnB_vjVzNK{w`Dkx1SNGen&4_(DBpln
zbt4pkavUvQeDlE1?+CH?u8}`L!7Le>K_N^-c<AobWBoTUJ8vkQWoB$#o-7*j+<{xa
zkz@HGd7ql`;8zw7QnA{|bsbIpDdHr@cjR%#Puw3R_X!Eliah_o5hZVBYrK3cg>pAD
zuILL7$za4o;i%?7d^vt}m*f7;+{wVBj)EQEUac0rT!ClF)v7BZD=@1bcMP{wM)MI}
z&CztqY%0sU0OJF2`O%qVOB9?h-YF>=JdcqnSL(BTfCwer+}w6ALP8Yq7o}04gcm}j
zFfPqsg^@*iFR%@d5Q&Vvz5Q;Q%u1<1X}~s^FRK3C857)kwbdS{kNcGqG*0u#cMjg4
zw{?}!aJDUT-)jM{)QkADXs8j<FiZivDyBDVb=i~zJ3)s&EPCs%n#V+Hly!RS&7_xd
zly&(mU!Ht+s5iI%Lp65udxR_oPLq^J+u5FzMcEbg5|`}x$Iux5OW!GO&^nKETtIy@
zst9n(1fZ&|cJI4s_XopCFB!ppzpOY=7tbI~k4(gkXJLj1aZ^wOXPs*2$3rz_NnQR>
zI;jm78CaIv&m@Fo-`Rt9`uo5D+^ugGvsXM?z_8$i+*@hQ|Goj60k|y4`u;Uc=e~Yp
z84)diwCl@W1UW3lQ!Q%Qz3_gfARbfDN`22JB_V+&%@^qI(o8-2#nckdP|^809S4Ck
zP1bxjsIs0itH>no2(qvik(K7(CG73|ZjN?M_PF6aWx&!E_3b^XqrvTUko|b64s}HA
zsI|mb)s5;h+*Vrq#LKrUV}oK#%(POM%|MDF#VZHeqjQYonXGSBmbSB#95n<6AuICL
z>)LTgIQ<)p1EcHz{>dI2bGd(Cyg%%o5k6$^!fDz3Ln%V6c*+@SKZ@C68#=5fqU3Vf
z+H76AQ9%sr`$v7!r#lFZ5XoAW7#0U1bJpC6-SF-#9J@$<LDm~Wv5Pr*=RN3wA&bbY
z<RXzP7Sc&Uze>-*5WH~S;=#9fPZ55{3>_VEYhjFQN=dS-eOnC%ZQ_?bl{}|7#<)_J
zZJxQS{1Uy3Vl;?NZx(Fn)JeRK74nQ0C9-mD_!6$H(R*RR95uGDMCVnFi-m_1b62YF
zPTN68%yWP}nUa=jRh7DU{At&IOy?pMvDq8;4E1VL1?d|%CY|ZkS=yW@#=ThwOrIL@
zuid{d>a%gD*3irBzNa+jCwJ}cF5PkAWK^^+`DJ^@mj-(jj6~hg4Z*{FjCcJ(Xn8qE
z`;bfvuzRi?wFe))UtE>&31Z#OJABJVZH*W*EdK3VC=Db*!3?6zE#*WnXoiu!)&F19
z7~?cvBJPb_f-FYx_!kO(%f?2Ppu)(n;G(cvCD20!;-;FY5MDymwGzSeOw`tl13b#r
zYPU&pJvD#GEYvX#{PH{MP)lrpS|K-AP4I7lqlO75O;4hBO~uZk0@yPl^L&5}GV0uE
z^_Pp+YQ&<rcICU8D{sPV&|3P6*MvMJv8GWo<{7VGUG7}=-J%V@y+x3u7`9*@=^ULN
zykS6{g4^@h=(g{(-H&!@cYnyF+WrO0B5nxiRxFo)uSl$jB2Z><!TN)Zv;7;(^{HZj
z&%u{DatQ|X-_tSwD%jT;OF0R#Fkx;e6c377PF{U=ajnw_C9-2dD2MJ(QPQ=BcK=V9
z_JFI=r1#+7>u48U6*80@y6ckmC&70b-M6}VO@~$O6trP}Z*62y`1Bw!4^yz=2XbP~
zjw^uE4ymqfn#!?!;fK@I>_=gou$m{tEbo#g@i+{-qr40MGN^kBE;@<#Zq785qL3Ax
zxpZJ5u9vwODfuCiKILs@l!|El{Ku;YcwYU0gE<hq(M>G8$nC=9rC5-h&PNrIS*;=~
zBaz_9nPyv)#zTAl6`fK1Ir*|D=(Mo6STdxBI_3C;x+bj@@8EQ?#bzKb&|!jmX{j`K
zg*(B9lW-iukj>=Ytz~u8{HhGkqqa`<X3tr4IUu`oXHX)z0S9{Ot`X%wt1qwMiuy83
zF$yw6ncvMT9GuUth9A<{NS)d&pHMIo{#`<So|Hj~2!(@#<8;{rT(;O9AoiMmO?-A4
zZW75wIySa8G<<{mz%X^WHPhiYHIPeLdP}+fFv?98>ak}#W>QTOI7AS4mR;!z>qg(2
zG9b8WJrx6!mD}<Dx~kr0Y^gVK<^TxKOKmL|S-O1LGWJ}%6|1m?asZ1_s)lE5ZOQac
z+kk!eu>}BY;Uz}gUASCE5EssQfe{yfk$hdZj92jE<YY68?&`shDMUl~;sxlf+8rlh
zQ%2GMi(RtyS@vV6`D-bJDA1KPzABJ=R$^?i2Rh1Yuet`zf7iwLMx8xI(_%n2hb42U
z>QZDM>0>W*t>kZCMh)6^=oq~&7X1mK40)kG&uaGW{JX3j^)4><s970q!Pn{|*dZ(F
z$GLO6m*HBju&c+B5zeCHvsP_W4@03;5^ao%lgTh1jUra-usv7%_`-JQK{m!poL?qu
zY?^yYP%CpK!Kbpbv(rl~=Q52ubBkt5>vLh2o<g0;+!X*KvnKU(w-7QhJ5t<-!m27W
za|iru#3-b#vgaXa9m#$?{HFjr*F`*7-ujm%b(7hrZ@%;sBxjW9Y4fucR^S)n?rN!O
z2}u)?&HAE03R<>8<r|@xY%=AdqmN<K5mMSlxG0<uPrh{ZVx31Yt)oxKbL98rNrTJj
zE$6iuf&2`zOcK<m1Lg|NE*UKwaF9*}=|cQgQomi29;Y$uQgwjHof(gMj*^dLB&E6J
zXr@;_oA2%FGt_&VT%d~uXwmmwUj^-^Z8@YPM{NDR|4#pI`Oh6ofmOH9s+JLr)RIu2
zgy{IeO4((haYXbRJbi_aD@VgB^d*J?qnbK1bnBy_%krE?uOTEZ8>XL?nD#<LzMxNR
z{_@OUrt+m_lD_`>oI>jN*jt*cNyQE{5l=NsSX4lIssbWFZB^oKm`x66D*b8C8?@^S
zm}}ZxY9y1$(Sm`H{1pKak<U@JgW&M(^9?Hc^?a+(TJhOC$Rm4Mx1wTaRr%&ku+y0I
zC+%V5{X4s0UO^x_NJKHxXe0AEXrTN-1Uzbwk!uIDOl8&Ya2^Z{Bp6s0M&*z63*t)r
zTK@n!AO3H_$G_5`;6##2#L52)0(0!H;~Hw=U9=i>JI@qm;}O&IM`{d8apT!sB!BBf
zY<Np#2t?c-ZTD3j^3=V|U{RvIf4Kj_`l4JIl#UxegfD7Suw)L;ISYqlQr4MJyo0q5
zOgFc-EVO2Pz4BW?EPz~)2x#vB*htWn!h{Fu*^y4=dhnltW^us=m!WRlAZKSH6cj9g
zG%OeM(Y_Gb=6~R-Wn;f`LC$%T@CI^HxhP_AQ60;_tw-ey(h`h%MH8aOE6V+j5`caO
z6>Gepv7Et6DjXGTnp;DP1eUSh_wP$PEd$XK_6>kH)k9_LWGXWQpLmj|{+^n4a(+J3
z@GekNsC^W4{t3PKpB6y(oS5X3m>~y*x<z;YOYK+fXLL5Y1OXUaq@+cD=J0R;p)0)d
zi9~H9pm>4XqPo}pMq>mub|tm|U-t(=mZiKxqK#08RdYvG^_NJeL#eG{SZPq9P{FCE
zufduG5f?6NXGHuQA?<TP>s+Q>3^*ttS-HE9)>SSa6zi1z{Q0x7DiRgK2S-Hh)i^3O
z+eZ(6W#~!w$Lqy>Dqn4t5)pZj`5E>>wbp&>`xZE8g#}zjbde$sO<W)xo*NdO)egop
z=nHbIMlKSe2%I<oJf6cJK1ggly(=1eLu1#w#{X;Z=}K_W@-+*ij1C4-k8eOq!3hDZ
z^l#_hM?N%@-U;-QG`O<vj#rH5dhtGxtzMdX72bFgF<LZWjdpu2`nw$H%$Z0*HX}4w
zMiWe`;pJ{v7+jrtg1BA<FeRCbUu`q4im-gQ6g8rrvlk+h_|Q46RYbSS02U=$;{$^S
ze}O}8w{+*q0-L(D@zv|NhTM(X(jo#lt<~_34hH>$8_M{y`aHtwhiQ`-O`D*GC!pb!
z_S+7F|84#I3+#@=A#jCc0CWM^(aFpX(1;)>t@RJ&_e0W3zG4-)bc4z)JDWlJIXV{;
zONfQS?zsA~>(G+vEzBy#?sg)Vi~T^)lDko=O1+ANl0DmUH*VOc(zx_mJx*JriIbCn
z3UBtT9U^OAMM($2WV@yLJwe2MH~v;^ppKP`?ZZJ+3un<6UaWwDI?$xdbU>X+6NeKO
zmZvJE%aMUmPM2aSFcyFL;tmNZ>Am$Vm{Z=Z@5DU?M9psru-N@ul0IExI9*`)*^rq5
z8`>De`}P{d`^O`XrS{6S0y)zLz>NlJUO>|Vj@Z5XUiRXYF+IFQltV<FsW-?_X1v%h
zM0}a)6P8M@Bj1l1nhB;RF#1hPGX%W12!;?PxV`*;RDE|KmHq$sNir)dTiKMo_b45E
zWo66W2U$fb6*3b-b_m(~SP2!993)#P*&*3k&--$Je}6pZpW7YRxz=aA$7`6S;9JS1
z0j>%@J#%dqLs9KF%bwD9y%t2l<!Wj!LOPu2^z1XP?aHcID2ML1<!0{kvWJf4<XeFm
zC=M#jd7<c6lQ(kz-Wy3}Wc{WGuO_$s7t&TZ`lWkhuQ@X+vKG*L52-=khaL|SX+ZG-
zYy%KAyI7#ONL~AfXIwm}VUUnN?RLkdRsI@+m6mrq$B0aFKalPwevG1_;d13Hyh&h6
zfFpKdcl@F@@4q(LLsyM4Px{z3x=&0j>MZfXvAV%^KSFt};LRu+pIO+h_^T%?So@Y4
z@{}##<e~2PrJ*dTeQRJueU0-Kj|CA0{wV<uRU*G{1XR0-L;?(sWvtjset!^K1V+T{
z_{B40ra@EOj}4r6e(;BAvHaU?|F1}>0xB~AD=^|wCL1CKS#rR_tAo#Jf<uar0B_04
zy(`pJd{EFFbmKB(Q?-2BJ}&0YUUr%%f~L|3#~7mmLP=(3Bp<v4@N<gJ>s?WQk+y!V
z&W7u4BGn>H&XQ4Uys3c!pWh?GzgvKmvFyyijSAk7m^o>@$fN;6%FwnDWXZmK5$b^Q
zV2)*@0)XXx55;uHyT(@4AP#<QamjP2{u0$!^_|vl9(q$oJuhtNk{m87J^=Q9;ZOUE
zl$q!TQ|qet)HphA&DF}A-W8_F95x-g(Z{5x9$ckP{9R*|N0hzMOJKbC78;3Xf=>v4
z3}=-xl!@XvB2GUtc)iY~_Dy-4k1z~gQZ|;aJ5r{u((9qXyf5`{rOCWssQFHQ&Ds(P
zJH7M-A@>2QNug+W30Ve%7eC+Ho43*vU3-7EC~@}lSLgQ&pb}nd25de;4c&{C=e<$_
z7)(JvbF5@vyn}B3wX%_HUJrhu<8><AhO~??(!$zQw9tN*!902Bpm6Ym47mIt>ICfr
z4CX44pP@(!KHepljWlM;&qV!xhlYoCNL=MBLCgxoht!@YDK*L64Z<0PJi|3YX<MR;
zT&%PD(j9wCPycQ;lHiXe$uF&~fd)pduyPqq?VjD(#EV8L_Bw`p2J3BY*9OGEfQHPN
z44>H8Ip=&=80(|67B*U>n0~yz)3?0qDKAsbOa~YeeRb#ALJ$y;UpvhfJSJ~^g%Nth
zOi#ZDDF$R>h)se#FrcJn=`whskI)#VD$jNgZ6<x5nbOsu0YXVYJ;(ewS%FfZq_*b9
z5Y=f+TdbM)!X!E%(}HKYoBc<6f|<7GsD{kp1h{R~a&v@0m<BzagE{LdpN*8Ls>1m@
zvk&gsJG;9>%^D~>jRFQH&iEW0sA)~zDISA1hqB8giC<V=@#oh+vk>T<n~Mp&E=slU
zzcLo84PwYnZ3L<eSukf$1?OCD`8QaOD6zq#hAOy0jJX2TQW?p}v-$IimcW1jWxcpi
zPZrN1h4NyFeqQ#YAFAQM4Uo3%3i-1clc8)a8H*;(q*>p{du4;}4A)q?C<%jwUgNQ3
zJXr1P>vNeK;4d$`)s9_R|Hqn1bSfC2(<Z`=f|ou2#iYj-h;gmUI9SA=`yfOafd)4e
z$2FqtYP%=I2S<nd#t%k8O*W?E=Eo;DI$=NU?*|7A{%*4}FRG|^sJ~H0NI1BhY)<@i
zcBrdr`yHOCfR<qp4Fhc3Gcjt;6C`L%X;_pFTQ~}(BaOP8ZT)#b{b0c6W&V|Ye=}XE
zT>uu0Zz)>F2Ha@w-rW@=M8vY%jp3nG(~ylxOT2779=vrpIMnf|Zxl3d!=65+hZYbq
ztD#YQ)k)`1hsw{-q2zwp7dqA#7f3=O%oaMEt6y6nGbkg|fAz&S6(qeb*S;1v>2w(B
zZ2HA^{JN6Iah78^j;d0N>&d9>61jRj*x!t;q;I&^lAw?piYXb%3K6Wdh+~2$hKVTS
zemn<#7=$KBW#vutT{#$i*bTRV&Efpd*xZ+MCYyTi<bF-M*5)K`#B;c$0!kXHn}$4k
ziUFocU<3W|VT(&DMo==9L3ZMwAKi{=^g7M({Y<w#qwBNyYH9|qW>gke_@h78DrE<Y
z&+C!nr~8;D>2CaSwgWk5u=X8;&eC=rsN5Wn2t|WSOsV-jW#6(^*YW?tV{Q;+Xe={N
z`sThA5z-{`)U(#UiL*e|8(3mk{A+-kyM3}{j)`0_;P1u@Zq174Xlv+h_~!0RN=gc_
z0!V7Q>FbvpYt4FYGxct~{GhH)v)HE#0HjlbrT6?<x*n@@m44)K5u*SlU`*7nY*Ku?
z67X^_9%PZyv+6%VTO5p!NFyTKr>4n{rpYSY2aujEvcmwL6&e!VJBKPW!OQBPDZ<ev
zeVb`?i$hdc0y@(%K?DeQ=0U|6dDUlq>FhU;tGSD*ml`bJ7P$?gZS|l|8o%=TVke-0
zp^Z91hx*df1H@kIvQsF0G%fF!4dwnEG3CR0w=wEby$D?c*D<kgZ|p5)GCI08XiHd#
zpg$|$Yqyc4VIR?VwIa-U4Ex<(0#Z}iJBukPDM-Z)<pp8domC#^r{nH;w*-<AL>yvq
z150L)qiCGk*>mTb|AKDp{`gcTbbL6_CwJv*^VRP@C@k*Y2EhZf!y7gI0MNSa2Nr?>
zT!5@QXmfqi`GqARcI+dZQQw!+IKu91FsphbUlYp0D5~f^!@0}Jv$mBBQaa66v>T<5
z(?vL9@LWWUx9rItD`Q_5@vz$K+Ppw?xDs><hHr^I6&`YzkcS+}$Osq~9U9Bo7nKpj
z$Y3f@is9N&ql35Y+}ob!y--)`s{=K-9vrYkWu@jJBz$-9w_DbixMl-$uoh1Kll0c^
zd(ceM>%4u_<Kbq%Y73N-CVU695edvGfUA1QDE)VXKO(*Fg1lm}?Ahz;@n8q>xkEU*
z(yWy0O-(xZ-vEU5MzX_rOhiDPs?Sna2;+)KbkWLdrY0##TJDfO<vVplwdoPF_M+Tr
zorm6hhA~R{O--^()OS>_uR_(X-8N3x(ex<_U~QN4AciO?Abh&o>jD+@+v#+J{{|Cy
zzR(*o8g8i0CnqiFD`c(RxF3ROI-LkM{P64#bqCDE)IrY_(l_c~2CtCyc3N&q;_j;L
zwW(V?iSFYM;AX%DM{zwu*In-oQ8v|Mmhi}RwBN3n_V_BIYm<GREhN1tKo&KEJ%_T0
zZHp`k^U)#VW>LxrCXFurJs@D%eh#nSUBXU+-f#mTSXB==mm`ApLB<7Fqc95iS4f>9
zMx`Mga8V)NJ$ld`FU`Cm=jrUc5RD7-2a7}soMcm?#MTcZHtxKaJq-?~878lez*lq=
zsG%Xxk={zT?lT-KtTPWmk`q0;Pipn&F(PAt)WH7wu&{nagvDoKB%vmHwALdzb<iRC
zZk<ywpew08sxOrP><3VpM<T2C!ie{MM1YAA77}{3{Lfz%(T~BL?%j~<-6&jbD&y;}
z;)8sX9EC!A;o;$fCD0EvIbOOCt8+Sb50w}4F?@;Shm_8E{8j-(I$$I-!}NRA+aX1n
z@f^DvhjU?2MgNGgK=L@2@cMkn8&}xy%3t?|+n(OJ-$IrA?r?kj)O1z1z<9NjE;lIe
zQm47H@8kdo5;{m`TdFbS-VpF9!h{03?cz(&sYi0UetWWzJ}zbIz`18kuThcHGU0Rm
z?5DDoQNw;v;(21Z4tHRAgU)VaV*~0N043q%Pv${gy%N(o^Fp7M2*s*I&Jt3Q=y~=u
zH7bOhGEPUF)|Bf46mgv{fF3lo`1aE4(wkK|BAi5YZZCQjz6Q(y?geHX`kvg@douVH
zZL{<sy+e*d+Cl|^9Q3iBh;Nqwa|HR=TUZzx*a@j|lyZFmZ*J$W3tb9iaEeMm0&Cr9
z31knTMRkBor+uD2@j<TA3p+NJoG+$>8$6(`M~-)u&cHzz6`WJw?YVg<Wygd1RK*u8
z+OMEYcIFB7#kt|aL05HPQ^1yORL>{cyODG+HrwYJ^w6dww~rt9Z!f$o-2xVIdB5|^
z{Jo^Qw+_fC;b&xebj!j5KNuPFay`QRlY4u6F_w6&HSx=ha9R?Z@Py0-Dka~xdX{VC
zAQ_;=Rc%Ruw1G0fUAq>r;>p7Kmo?bpyqF414sK~f@Z?cjM3ct0*yN#fPH8DX+*GH_
zn=&ZB=~|Xtf!o%CTqbQ@iAP6u*RNOkF4u}}ZcB2OX1?#h_q?r}xCu&BTuBBbA8rt_
zsuwWTBs)-C#2&eBJFBX5B@9lY11jl_w~Txw<tW5ba=-qfFKsX>a6URfM1_hp$QRyM
zw&7bD8TD@59L&1K$#ePfY%Rb!k{qZDxM~cdDKDqP4<adNPmr=WMPPbB6LD0o{w?RF
zDf9AShltrKfjqX1?K_0EE|S{UCBv`0@S01a`u5x+lhi%7I4Lpr#ZxWP>&oG8Io5$7
zJT;|AoS?bkcZTD7;9OE7vBGk4o|R}?Po`djr+PdQYjnn66fOeaE8l3n4;QDAclLwx
zpShA-t2e)r#G$Sd_5Yl-HA%SF10`{O!D~Rwx(|KO)2&S)on9(0DnpBeo|i5?0Pj^q
z^|a-nyG3qL7+@)qDC@*CAy_nB7|N@N?7;aHvrZRS68Rpb0Btw98+%_UanmmYE&$K0
z^x_{m%Sdr)LJbFX%Fws$#-Z~A^t^e*)~w(2uFIwQS`Kc=jZ63YKhuxXAp==TXmoW|
zO$-j!UjDeg=l!@-Oa1gUxz*tm?ZBBZ8(?o|>AeXdw;WE>X23VpyQ%0ipT4UQLoaf^
zC2Ih(y8ADDpv)k^SA@>LdYU5aaaVIhkit|19wB0D6+#ZN07#_s)*bv>NJsKzfHVZc
z%^}+1%@7SCeU|#|U~t<0nah0W?E5Pp4^4Cmb#+rLIm<TjUJZTL0<i34dZnI$eT4hI
zwQ<|CxvbN{`IRB`_0M?F)q^>Oh9oHa6j~DOyr#M&(RKae#r3<ZK<|IY*9|d~g+Nmo
zuev_)iSqQjH=YA1m0CF^dG2CI>V^^O`8_K9pC?MGo~N%DLgn!`Bxtv2Nd#DXgIq~Z
zB^J?0cEZ4sSXU?jp#m8h5Zo^=TH04Qjk;lg(7qSYJ5sFp*oUgT@YWuJtMD<Ri?3h!
z_P2u|LY@WboI1IkhF)=P(WTSJfFs(0(o)fKBeZV8-R^iuCAu#ZJT;)MzOq2!Y<yml
zMNDR{q!Ymr`Q1Q#pWyAZd2e6JzF?nn`x>2{4V^%8>VRQ>VYH8}thd~ySZr4QQ#llf
zf%?io6!P7}m?*ob$R(Ar>^hhNxYnjRs7Gm5+Oyp-QX#tg?wk9kYnNxe%>b;^fs6J(
zui*j?!yw~l$H()zui@K2SYA`p(?4#nIgdhy4QUD@@`&t_nDHaT)&ZXBgB4*w(8GN`
zP{^9H2q9W=RtmpaOf7y8-EP}hc4tAb-X%3MCj?DGoUCg_+#9@WxWsU&{S1Pk#&N$}
zqXi}O1atnm{nWCj!iOLKc`Mso4GxtF?x8a`;+@<Apyb0tX$=>i#7LFDk`d%0a&mm?
z`qiT)hGhJnl0B8tHb6yTEa=YA1uM2q#RUKv_@SVt%?nx3U_WWL50FLgqUu419KmlP
z&@G5d`itg_LY`0UH&20E!+sM|mV|)BpN18k+aDh9KaS1S2dhrRQzA7V@FN~w7h8E=
ze1$$5;GDTS#jPW!FNB~d$(JauD2nL=pQ9g(sJxHSz($g%zi3_CW|HIF{-`xr-<UeH
zr?KjbgXtTR4U6`wRw1263Ww-#%Lu<^*axE?51EE}>CNU$Fy};_)DR=kcm-E;Mg5=}
zq{_KK5$P`Xh%gxF8^GI>2X-wW-u?h!u6k69gYx?I>*aUbd4ZQw$Ab>>KR=F*y(l}k
z{{RYmf1W%K{U~%T7(X44h~;Xl-}j@VBc<$$S!3NieJCS_Ja6w}pNtIj56zB)cPh$X
zgFxytw9_}7-vr64|NintD^H)^Gaxgrg3hS+#u?$2*PP}dB{Zc^d+qNRC!WJ=?#EYZ
zVDka{%C4<2Te^J&M%NgS5jh`##XPl9yCQz}`ta63?>H31Vnz+|nCa>0c5@Z~<@RI|
zW?w8DbcLdqz{QKnq0cSGUA}z~x-du*L(k?&K1`s5pGfme+XrzZu_^K3X$t6HQOmwj
z!51a0f^5q`8a8f$xj&W?LJlkn*B_TK5sKywfII;~osJBag(W9wu3Mn+7&gS!>kjNZ
z%-sH148>hGxX>{oV5&nCrJ6JaX%)nR0P2~UVnm_vuYm#-R4zXVg~apvbvl?nYqy0b
zlu=K0mB?}$%koHd0Z&*~w#nDmVqS}?#H9QTmS2uA$k<u<=0Y5G;?1NGn=n+A==0ur
z*&0K2y%%phG`MvT9dit8$4Gy!DrP*hf{C?@rHh>4qqmA#DHKouk-2RNB)<3FCRoi+
zRVsx=jzKLNoUGjwqDJj^ELBOa>z6NwwD$Ggkh@e@5)F)nuO@szOCD<ZcRwL$>LD1!
zACAgUe<UwbGW4JD37_Tl>)n8X)H}zA3h4_)K}s}~H|W|>#!H$_OcQ29jz6*UX6-Tg
z``T>NrxwY5zF$l9c&@Qo@+4LaK@T^ZbOL;26Eq#Nm#!JN+%N>cE44CFE5X>CJpJs8
zwQE%vM$}81)4|SVDdg`rTy3s$s_$0)Z1_6yR=x1ktQD{Wxx2l&Q#}=VSwBKL-#pq#
zgD?Gx@>~Q<bOIfFX1Hl*aVLk%)VuqP3(62P7F12*zbh!<4iuJ_cA@L|o4j0EQQ_5b
zo3-Y{2-Y$^weJjJ@S8cg3i70GNf`-JJkx#@Uqxw!sn7Qy!%>gZ!z3Rn`kkeoeULUb
z5|2}xW|D*OW1b0u&+ea9l)vsxFOs2^h+^p<<wOhOD63xd&JWY9J4O?;{PCS+yng{}
z_QFR1_123*?dC85x>jLMmzJKwNylmos&sFG+$8u34i-QosAPCqX5*d_Pe0W;+Y2Zh
z(K-_u$aw(80V`(##&6|AX{~|+0xE*g(QiR7;I)B2A08e=iP_7ok#nSvLs8_j%ORnE
zHjl43X%OiFaFv!elpJDcXFD6`k77Mgh*H**IF3Q$JSWxM{+AU@Nmp7^@l8IFNNTaZ
zhnAO4f$>VBLrO49dQ^eWT?9o7&M7u@uGd6#-UAK0)^p-D7=p>lGKOV4WH=u?rrH%1
zfgu5wUsY03kr}_%!!&uJOMZznyHIN*;Qlky03=oJqXC}oafEIVTVS@!*k?hC#;a(u
z-7~B#SK~QMW6xxgUPa-f$iXIUnhAwZehOq#3BslTiUx)bF0M+{aspCdOq-ZHqpTD(
z1;wy7CSdgSHN4-DL!pe^nvCC!p-V?EUi1<9AcQLVhz$wQ&z3b!a?miMS;~Kq%5ay_
zpm-4c2ZyT8ciLVPVASUU;^Dm(hb|jBsGpaA{(%%-==m)%J6(KT7R2@fcj>~+8M&1f
z@aiV<k35gJJ#{xYmFDFEJbRseu#ng&B%VV({=yCQtK_o_93C2xN^&q%i@GAAC4}3g
z#9~04@@xOP6d9+~I^QjVKK$xJxqG`;<t{NZF-?44BY`!0i4It{;ZE`%F+g?IFN~Hf
zdXz(gQBI>~ec>8Ml-XsE^|z6>a|i06!^O{z-%Wm_KbM~R7}Hnv!tAhhedaGz3qGrE
zT!XBK_3`!n`7I`?)|)zOU}D$G=1)`#5~?tgh^F;S6Rzo9xTR-8M~-vmJHO6BbgGPs
zoc?DQ+Vi-OXE{>^B-@H6G~HJHZRP9@O9x%e-;IzVS4VDSbSilF-ShFY`U$O24eu8Q
z_ty%HtXYtNI$&ZMLjR#%9?{<}YY!%;+>QUv##b+uyt=aTee4D}?%MIukS0~{IONky
zl>tk_!IU=(r>eV=mcLvdSY>&BP45(Hgya%yO)Wy;hQ<Ocdw`JEVsbS68t<aQ*^7-R
zdR#<dO3WyJLri=)abaq3YO2K*f3m7XBhPkx+gmRkXck3X+Qox-DC#l3Om39OpM^Qc
z({}p^mSPk%AymJ7zFYjGGuo(on%FLWfbBN_zZ=yU=xuiReJAdYI8P@Gy?XiEG2{|@
z{3_-wT-*tx(5c{mm;`urz=A4tj;)HHy;*vxYGpN%xvh$Cx$*qt5v7{&@T~L?_m~($
zHljh`1S??(;C+uMs$Iuw#N>GcWDxd(j=)Ftd!6UhP$qLW21<H4Mhj)j01V<#*PBuA
z^JT?9cm0!FNc_R7JYX6T%*h(1(ia@=CQss<%NHqFh)`E;ob8Qd?{v_G8+`e2nnkH~
zpmr0M_3RA6r5vS_Dt)W7q5-TK^(!3j3Jjyz!%}<a9ZWrH&445(|J8Z@xOXx`RsCkt
z&gqAfI|8+9=4%53-Dk<KqG^<KFJ}r7a;RO1W?)P8nK1d~_3T=#@Ml&WSwC8hDD~G}
zwdfo?iU`W~+4@J1L-?zDwAKdX2Wowdj0a0+hb$+jnD02JE-qykGzO*}Jvh4kZ*qJ`
zLB7Xis}vw6#(tx1m%Bt#<{kxxN^WKcOCmClH5L3(<0}f=*Ue|%zV)7bd#ZH6=IBkb
zbq5HOcg>fkzINhujd_{%@_oH>4%f$YWtEQuDOxh$b5W?Vymr(vQcOS~j4*K#m)g)L
zkSrk)AQ+XT3wplWn>&%3Y9&<Y3lljdL0C5~FDGYFXb3nGKoMX-Isx%aO81HFq>53A
z9rJYb_m=?vbBC(jd;O4}aQsSwnTB-=ws;N@7?d^Ei2qg7;F<d4jNPWbpgal{+!HH|
zwd*`zFgpI}#}g%^2u=Hx2{D4h%o~@#_4l)eNCAlJk$(GG6|INPKhAvHBy=d1(&u^O
z>H-X_QcQQFH?F%F<KrqphO0?!!3PZw{l!?3l=-4}D%Yz%a|#kixmUU0+*+)(b_Eci
zb~iyV<_+935{RcbWd_X4PBrXK1L1P|^^UcWNulA{54!**LP{hQ$Ma{nDLY<Ht?ld|
z@-~<Z`xOXgOiAo%@{ZFJCs){0j;@1W23uVCMrP~i@9)+Y)T%A_$kANup>8M?3X89-
z2RpWCN;Kbm?53TueR4NUmk&RL>`DxI#6dlJwi540JAH<*<C*ss<;#s$P#Br?Il2tY
z@wF+-V#RrXNf(A&#a$1MSM!QTIn~D+d<r<!0V4I_!Rw{Lj1`xlcV+Lq?pj-;n43Nz
zC})t7UV#w(2n2dSw4mJ<ag{@~_dwXxD_8T$xdGeLy?}5G3CAfOAB3`ltP1qSIddQ~
z26rB)0EyzHa{HYR5RQQC68=a$YzU4)XljXDUz2qxv20NM(a4MU;b4g2x^sRo#h#!3
zNx9Fc<Aw82*KZ=XOM?qgRqX_c&7iO9+~>&1vb;ZEfvVv%G#l<!AcUHOu1R%!oj;R?
z6^jPNw9S{<u4jX@AhmYc;Iq{_pc6F;K**NAvS1-F49x}@iU0O{mlpSOCnpsd7y`em
zb7#~*4FCIpq}Ug{R^ei25JLk1jL)v$h4`5C%YdfR|6u__-$TW#0`O;uk_n^bMfaC9
zs?(w=XDRrt7WQYDk4MCizyLCZxNs;)YD<3i1zn3H0K+<KW~0pYnyt9m98%<cFXa6G
z=q!@r`)+eDX#K7QQCu3G5k`}(Ekf%WK{8)QW0<b%y#Y%Y!CP%~=FU<rBXKr+vkI9>
zv&rSAn(-W4o0}#{iM?xg?s1fN{<JWmF)E5I(|pvb4h^Sn?HQ-&&<{Vnq}~oGzt4w-
z9!LVEH>>$H^)9qbF-NtJjsKngw_MK5%)Ivd_gldBAu3yJMTR_x#x_XTZzH|tWUIhM
z1gtBea2^{;bNXOnf{B8EwPg#02&wv&X)R${m^XFGP)3t#{yc?cbt1K(?8ZFi4gZ9_
zl_@keI(kJNydtrfg2jszoc{<jE>5qTDuAz}b$W`!7mrE#XM9mZ#mAbLFF>;`D>F%Z
zAiaCd=ls9Jro#uuV6)@@<jEPOaNsLK`8nEI0KmgQMFERSeqAtqhbhELvGToXSbYr*
z!~npVmLF^uDBeHXn`aLCa}9rYrLY~f_Igvlu%?1-IK}WdU$WWd2ZPi2Stoo->wDg8
zb;|CGL#t?eD)V~BYa%JpD!J{p!l11x_Pu?d0ELob4QQUc*5dTAR4J3I-1n{3#m##|
zrN^2=baH#Y5`cM8%Wwyq3lrC^`QQ?kiMx5;Te=RE<wPimSx>0lXbyGA>&y-fz$k7m
z^DG&epaPB#n9UF13eSBoIW(~5bro)fL>Xif6b?5BfTquy13K_9t)7KXLXAVfLR3*v
z7Y%&Ti+*_S>JM5J`xRd@%U09~UKAd(mg`rnuVK#Q>jv0e28jNlMx@%TZzMTb3HW#p
z`nRyX*$7ND7L%ql=_P8`+xP+PW{EWZL=7FDjk|In6GRi0z0>2E>ta@E0<J<<<#%k1
zLaUWRd@^+kU=Pv^Ha6ONVW1PRJ?g}Kf3v@xxY(*(5$+r93vQBSM^`GSYezof=v@$h
zAwbRYcmMn1q;MS#lIidv9hTewU5ySgYO2UMgLf*n)9$vF!`GjzcdwPa=SZux7FqyF
z_7WHf!ROkg*H%|AoexZGh!#=o++q+tS2p}&Puf91lxfr7&oAQ-E7pW>b*klfCt*O4
z<}<sI-Rm)sbI;1i@MDPe^!58gg8LF+WR$#(2FcHOjt@exP?=}e0=`5&UI8j3huu)=
z`u*D-U?q_99RKb;`VCt<t<~Kh4#}27Nd>J*13!rlKu38a2KFPc>;lsDrC5+Br0Pe6
z4R=$KZUfqPF2$+roklQ!q%g2RoWM~r?mmrrJmxlA+ROHUl81e>-Y^&4ePdvqVgxIA
z$oK!I(07Zd_*CQCuC=I=>;bw+cX!SUR##WorK^RmgzQO*m!-Jb92xeb0@QgaW7dER
zll|d>yOfjPA8%$J=}u4?F{e?q0<IL|3I|KbW`FDhU{4*s@eztsJ2;#=KJ**5tg|py
zmikdkH{C0<T!I*X!jzUg`$2sTsj&cBXDpPIue%Y3RQLiAk<86W&Wz;10{G`o#nhT0
zP1Mgk4}VD5#XvYjXIJkGyb)vS^G{Ddx|)51$hbJ)<#W~Vtw8p;PyTlk<$`wqs5Q8T
z*<p`o6Y-R8Mmxt-SH-BXCwKF^o1A9EEy@Q)^Akf7&&bUJBU(mt8TyHQG>pv5y^hsW
zd$>DD(dsQ2p}7qkSi89hw^H>ZSZdIb{{_(a6qi(|^xGX^Mby0e``fo~fV|K_12S#g
z*qptU2Gmt<-O6$>1xalz6g=Kq2`Xq4qEIF*>iTk*rWSaH(p*wO1WE1l&&^fq=#;ik
z&VgeFd~B_rmvq)_=2s@ZR%0>Hw9c31!cH3iBn5G-0f>&`_J|#j8_rWKHa_U)uL}Ya
z%tPS19)ON{rvI1=CV<?XUyHA)ZP0%Qr0>&Vzd`##&mNxa)cAroyld2S2nd6N{Kt0M
zM6`J9!cumZO$(zmX5-VWH~7T^6vTY&gBp=up&`iITq#KZ>059s1|(Y&bY!}!N+39x
z+Z@on6|{tCaU%M)h`|oB!}4U|nNxH?`x`zIt#OaU-u<?94BHD#(-LDay3k%#0)FMY
z_2fBL<#1Ps+rp*}8bR{$cP}k1$?!Cvtj%b2to-)K5`2{&<Ix5l@?F6*vtK$L%cCC)
zR`c7WMt%+RckUBN_i?iP1s1n9bnzU*9pI~mk&RQk+dS#dAAF}VT0DbyrQ}07z$)Nr
zNEeg*3A2G2p|}U(4Y*=M-6=UO<`_Y{iR+$RuGIRQq9yN!dWqhx)D@XP4QxpwUG7zu
z3f9^-?;wRK7<j$&17aA~Bei&ls3G)jN@aq!Yg9P6s~y18$hzG@AEk@HBG9lMuVUqh
zu<1jm4|;(Yjz9weQ(GR$i3hnN3e^e?6pi7nxQ1wY?XlHlk+<aDc^@@5KCm*&j9`>N
z5E884^Ic@Fzr?*GUim(}!Vlu%u<b*mbqZ{HAo`q=0*ZD75I$iWK`?xrIfz^`CWy(M
zm7id@ATw|Y4AY*LEu(+!>^}_)8><>;Jvr|-#d$DPWzh5Y^%zQ`*0<!qA6Wi^4Z9A7
z00pO1d3U8MKEfxep3Hp$MMa403W6Afss_?^2Iv}S0wGlk0t!nYi!twgQXN|8uK<zb
zX$07{(6|bF8N%70mtSi;u13y>ssY2{f#t10krbdP*;7z#G~hkD3Q}<6E0YUL)*sTL
zSA^&|11Dv>?>ZR>PwQ%FK^1ZsYzK`k{RXLxEh_s5+rnIKGd6%`UXLRp$P19U#uaf4
z<%r68<P<|OHgt$A7Wl-adWfD!_5CCYsx;xq0i%kVS~}z}f-xF;7qr~Y1lze)YTK%+
z5>nLG839k^<il6cj(Yebl$Np|M2&}rZ2$MquNoj`h>@J6J4=Av9B}2fY4B0#Z_Z-i
zwg{Roz-xq(M6H?S>^VP6!3!h+_s!}BJpk+l;*)P!E^HV70~-oZZ;qRQa)79cAO9gc
z{(~?))9ZFkQ7AsH5GmgUFr1-PvIl*wClN<&)<Po#1MJ<Mho0DeXTVUu=yqWHtP{=k
zk1zt{7hs{Tw<z1DAv-yP8*<@Gg$0yxIhPTB;NE-|^H~BAEl!T2LA+R(&)~Up|1So4
z$;f;=?$0O<g=ut8OsqY<n-~L>Pdm44Qp%RWWAdr$_HDLytQ>lF{WL)(pWRmAeHehS
zv-Uh-I60Sd0Xz*T!Pf0|!^q`H9MdCf#exAUFt{gn!>1%@Y#aGPcz!b&11MD{V-;Lh
zetZuh2YRraTvacpdmZMT?+e2mf@CMvo$ji)Zo>k;xv=fS#!qQ>_7C@;?KKqR<*Z&O
zZk7A*Wn7<UP&8oJWfgeTzkWU)RBHw;3z7cr#lyU&2KRwqRb|Ui`n*6=TNre5X(rcU
zz{B>D+YAai6kv_3!a;g(@rn*dLIt1Z@D_EM<**pPtnd=HG~da{22L@vF7>}jm=uij
zL8XO~zsF*@K6=v%QKIcr=e%i|+N=23ettU$vmjy<IXhEN3Y!ZIqL^S5S%s+(FqR)D
z5l^5W3q#W8GArqORJZp%{MoX{$<<U;-lU%9KiRf`mQV$=s(e^hOsvMs6-1S>kcNO5
zsIet$YeXxE$$E$gBRP$(kYgp+u@J^K-@1ygJZMcawliUY*}@~_`!D^RhkYyl<$q4T
zydo3oImm9BI{da{e&Y<@qiUSY^7gprtv!1!Dc0J0g3NG$A|q`x#Hs1Wr=Q0!Vev+U
zk^snx7<tOVqG4>r-kRh<hlEr#Q8+C>)1)VD)*ysnRJ*tZ0qTUJl%()dHAB?(w=6~8
zS1Nsk7-Guax&#T)z2NBjRpk<uJ2Ytiks;a#SBbg=w`@(7nwr`;{g_lmMJ4=lq6S4j
zcs&D|NO$7l@gZ!IvBCt^m|7{kDQ7W(ce_8~!qD-r5z5Apxu^URUit7nAf}S{BMao<
z5K#rFa}0ux!`nYCu@@C8JUxOq6cxO8Ti@N+Re1OC_{g?$WYb(J`-T+Lvn?{$cr&N?
zw)(Dm97hZ<&5TvKBoKw(qHqDA3;XurtM|WT68LN%e{y__dmZ`u<36E5;S11~`F9&x
z?6IUy&m92`Wov627}#jS7dbmlS34&UFwak)KK=Rg2W|q&-tgInTY&)h7&v7Az|?Db
zTY(h&95N;ZsICb2`Jm+(nnW_-j2iB|_)rBR;XUL}$ES|`YsK;0uZ7uws&4PI)jP!F
z4r!_cJ@f--dZS~ASRwsQd*BPULdBO!?6ipDGUzzjSkV>LPklU0hd|4qa|V>xcn?Oz
zDI>r)M_M=bV&CHI>}prW^@|rTB5}1MxXhzkCE|O)Q^F~fJQdq3{c~sSrcrHO-SGTI
z?JNZ>IG&g8Z|Zf7080Hngn=@Iy>c605UXt@{T+s-8nV1fX#er|J}yN{9iW%-G+Y6i
zTC$7Hg#$XWG2vFgw;j54sv^%pBxSV!un5!8o?|%?;uY79@6e$NOF4)oef6}D_Vf4e
zm|3^2q>E}7(*_x?D!zF#9lq!>?mOp!^^e2h6155-?S}O&P7RFO2gDpqw-G9?Z-dJL
zGH)u<fwrMjAimNbJQdw}4)>|*Zr<Ow`Re&D=g*z1b@1N*K&GgL2C*uq48NhDGfr9e
zw;>URY#zvY?{vXVqxd0g@vsnpP7E1(6Twc?4S%#1W`j7!ZG{45ZdPc>c1-{f5&lLa
zGU~J5qx6iP|5hS%KF+K|rKWej`>B)R_$Fyu0y&x>!Fz@sCsqobp~MThmm{lvNsvo4
z%U_12t<2C$i_<N#s?Yk<_T4Y~>imgTFEjlGJ$`?$3R2KTL-wkv3n4V(FaQJve!PS2
zZ$BCCY7Z>rg}-C69F9;+GG9v|tWZW0t><cD$Anz?+^iu00PK9%3zQ&{8TL!#UZjvm
zhfBq2nkbCFOrz_W^@hIZxz7+aqJp_dLLcX^km55$ech*c6kPVnAJ)g=<>H4hCAe|`
zRFPKz2nynX^twu#(?J}RtT|A<u(Q|zQI~#AeyUU0M0QK9q^zlT@d|%a^P$wDOr*?o
zNYWO11H&sTETgE{k}8AD4{OkN=Aj6X*WM;@j1G{ap#VJCpyC3EDX`|i{FH;FFDe$C
zo(FVp{e#Zhzk=4A-)w^)f^U~58lj8|mo)(RCVT;izxUl@Q6r5~^HqH2k5m2Gsg+F7
z(Uo?0g6}B2OH6uw=c&^6dvW9eSDfeTW@E#pwa6!MWV`IUH|>qic!T3~deGl4ko1N)
z(}zZosvlv#>_F6sJIsisv}S}nRMz|>L_wftTeEm(3USATGEG7_A`6JMU}_zrK1&c0
zhkKn@a8_V68f1IaUA_GuIhc+{^v`xIWz1j#LXoovCwko^OuM-u>71_)WhHD0%Ut@y
zou(<^H6V_Div?MepgA)>e(&F60ptjXb{hHu5&q5N3nP)Rhdta&ei$(3QZT!*2QAnw
zkS5!QN$g`WP=l~q5U^3AvDKB3T?7#idBf}bgLv-r5ok7Xp%PK``Es?za~*D48k=PA
zmX<(Omh$k4ZA!py5{ptS5={jA{rXL5Tr3fAnhU>p@B-W4z-COqkV`?vHWGt_%N6Y9
z(6ZMrv;bdmByt8oYxo=3*ZFlH@fWn;Ij-V621>!*W%DT+fB^y&4><@eCN15toBIl&
z4)@_kF}f)z^O)}0rR8PzoXwF_89ou=5H5_OVaWlkczL7to2fPK90FllJC0|W(Vkvc
z`V|)}PNJw~un)$6!kw%sSZ{$H#|SXdJ|;OcSYyIM?$uzi5@_M%G>?#J5zIpr8KRQJ
znN!`X&}6Cms5EcuN7F@Ff21yfNX{K2x#648`pBFh#Ml(7P75`<_#>H*+oqu($U+Vq
zjE=c%$IIS%uxmHzQmrm33RBAFvong9dv8G(POBtVKVfZ=<ZwWRT$qVuWDa08bV-FJ
z>v~s&zY9F^5#hHg{FL9t9%lgS-f&H@yTm>ecSFJjz!yyXKDoPDaq2_H^G^}D@Fb9Z
zku`LCWgJ>cQ0D|hBQm@$-Fqq>jCsG}zcy0&0lT7-%Nhc=*^N1vG=z#s>CLp!<Hzkr
zq3&EEEF#i%beiYRg8a_Kd(=?Qg?QK)aSQ1EqL%MMGq)p6czE<(A*;Nu&KT5j@Bc%r
zBvo>6!w_p(!FZYv5VqwHhMlPaRK<z?F%WeJr%0wlK1$zd`pzGe%hwGrULni#!2>H~
z1JT|jql_C~URhn;zALv<b^$q`l``l;;^To@_f5?)EPuB*3%T<?V>P%JDT2KxtnP(|
zk;2>H%=7><$m8<kf1rG|1(P;|zr|8GeWdRcskK3ZLj$;^!*J3s1ly?FxMnL)H)dot
zLR~fY!d-`o%muS1RXK<)aNc*E^qL{-xByWzBz0MSL#A#!79+pNr%z!~%6b(O7vU)D
zeT1(C0rVws!FxhTM#2i>T}W^M4At!FY9A=b#?%y{0AaY=a(o0i<qq(Vp=)ldp6lL;
z_?ZsMokV0PYx4kDaQ5M<%NZ@txXY9h?jlTIP;kl2%JQ^3SykYCeTGq|j$o7i7uB*$
z>h!4@_-9ZaUnuzROHdX5Fn<x&jUp@h&Yc}Z`wE0RYU{X=JA{wa=iBb;%_9hFnzA1f
zm9Wi|v;$eN;6Shg><0(Af&V{o=<6e=03r*P=Kr#c9!QeP-~QELYXsZcakH~1ceZ>N
z*Hq}YJgZdaI5|&A8co{BeNYKR?g63kA-eHEal3cV4KFyxsC*bGq$Mt6N*>7$(kDKL
z9U~n>Q0;>Y!N9j$3Jilv!v}<pg4Bo*jt~@i0mg3X@t_WJp^_XWl!<X_zP6Uu>(29D
ztoD@ApV+Ei{yO_<XJ?1~!^wrZhtr&Xi^vJ2Zy*M{BR-45do<Sf0a9ftdG?9Vs((|4
zV?rk+@lfl7B_bKq5L)Xs;W#w0OSHoD*<Pg3u&DIE#Huy2hHe^c1|caqeh79cE2RV|
zGYLt_<SzTOAH3e#M?>_A!|5b<`&md<@@Z0U|Aab#1yPnz)eL+3hP_C{wY$ij1#b=8
z22VBJDNmS0{AG4pjt_wn`S-3Ih99VP9{?T*HNa=F8t;?nh}jZM!i2R4{8uLyH}-Dc
z&GK$Y&!9U;gyaIR<0~*t`h~lPN7$s3<f$A`4;$6s9gTb=7=Rvq5$y#Ke%;$yeguym
zyUvfS0Po;O#JU|&FyLVdj`v4kxI|5aKU8dQLI%MGQm8`vf`{J`EbDgW%cp{80H*-G
zfd{r?ELsBYfi69fxLJ5mxIIL?LMmgDzIDC_Pmba?D-B?);r42Mz-tTP6j|<VA#yQL
z&0`M%>z3x`W|(h?@hBws%mKgR&}^0de(z=6AP-JSp=bLCZI}rda?|z1tRPwGAN0+Q
zUiFM;GKL51kU9sdj3jFv(%d<-jW?w_g&!hu`YZ5p@@@bHx!!rGr;e{NpMQGdRJ)hf
z5-|OU5Rs;{yLABiGKlJtQn<Nivv@++@2QrD_V&NT%L95K)+%dUD#8vEFurN0*abUW
zdHEQZ8Wbbw-I^tFlBP*^fA^@Wrpg8JJP5;odEg!gB;3v$WqI44chd7gVGA_!L_o4^
zS%xCUwf0)e({KpnVZwQjd)H2<x|IQ!$}L^7#dWz7$S|W-C5ZL{tj(`|UbnOyLy1Ek
z_K4$o;P$O|GAlxncHD^0y#ylhscmc>MgM@V;`fsWBAvCX(H)&CJG01pY$(Nap8Fr6
zpMYR<Mq9l)@Rlb$?sN|#1toVEFj)aJ+r5Up(~ZrsO)*~XiiParGhHd8AaOPzHr&FY
zJ%AJ~Df*E{QF|xQy#(v0@z{`x<WLKb2|Ek`h@bnHw<ZDJ3c@nYXHK==zRgv`>{hJe
z&y+Cvr0rGje08`OS6cKyT$*Txx)B$I!+w5#HYCVa;I5nRqNA(JeA%c+?Y)}6>7$Aj
z($s8c_CdRQL4v=ca7r_N+weLDmmx#z1p|p(oo3jKxN=mP@B1DWKNkOL8>~3{!T<??
z!9#GPSMfMb^-`M-WYX;^eIAu_$4T1P&^3RBeL74aNXHr6qGF^g^J@5*NNKDYuRpKv
zZT$uS;W1h;4z0&|E|4TSj2^w3y+5mO+wsL&NzJ>^(Cpa1Wq$|ue86SqEi*wGDcl)w
zEXx*@B^fldF6n_wh3MBsOHel1h6cqIy0f4-B2f2h1}dSL=Bp?vE-*0lZs6;P<|G|H
zqnFVQ^^F^sYyL87#Mk)D;{aQGmE}h9p!@jE3+-z=fGamL8n=YXI;u4Zz!`6DR#V31
z72pex&rs!LyO?o&{q?vup?5w4%K!ZG)G;a%Z*E*Jagwjdhea3>Ec_{`2{1!LS5<kG
z*90(<d@XyQ#WtqojY+UyLvsmR>hrN>_1<|~&ITSP996jTlkGSyz51gipQ!s4j({4I
z-xfO#e{eZ-`KS3+|52rZ5D3P-f)IxL)K4g=f1i{=y>fVT^;JQ^Q{g0f=0cwcQOd{o
zx#;6p!^_`+uc|^z1Q+kc<|Q%VfaS0M_NxX%_D>!szT9QXH(KLTIlyx($>H@5l}c30
zr~lO}T3x{&GOL$1Mg`=EbNiojbglTS=ITY~Agggr)bKJVn^n2#1BXS^GGq1GOR-KF
z#om)^(o~DFKbbx<zNaEqh&Uy64QfKrv5P4~hV^s^6u}7(NBjT2{c{(yNUa{}#yQ#d
zz3tOK!d-}wsrsRG<!7l_6#M<tCn5?&#VSMdac%V^)k#?r@?th<RL6D_HW#I5#?`Qi
zGJL_-TP2g4=DlPlxr>BM4?lcIGDm^rZm}LjNkcW`AA}3qXwSPJ7>61-Ok|1vz-7RP
z_v_$bq8dk7kU+yrV^PtiA6Gc<+@-Dae+rschY++JYX03nJZT)k;PzQxhpgfNAeG!X
zFz<tq0bcd>$|mHxIOdLyj<;58?~{2UBfmG{hb){heH6f(2Q;(ddSw|`KUXmk;j_hk
z`d3$O{s)Yo>JarSWbH(B+axEvo^YrGHPqPRcBq3XoD%kHABiF%XIZWglYT!z?K4-B
zyCILScML1}Ly^{lG=)E3DIo8MKFc;_8lJh`C+7@a`Poi;3$aK4b<hBiyJ92LBxuz7
z{5qj~DEy6UA3h#XJRE>1j+hnt2heB(xe-WV&!0zp0bp!47e5uR{z|cnEO2{I254=5
zXr9~*%2{wgY<_MoNmd^aLX8M`1JU|IwjyNzfoli1q@ZD_?11Q*4Bgo>gZ2u6n=*JU
z=WOti#T`BpWMY;73pPgZAl&-zU$H3slYJDn8h-0M?cdM-LX>xa#6pOI9~dVFDfH4s
zspP`51Tm1wtb?vB3$L~_E2WhG9dDf`yNWtSyxU+`K=jA-I$=`>dNJhVK_DRwZGaRc
z*LjaUi3j1J3XM+5&?9pQl+VywR6L)gw}W@co#FcxauN`ed_VUGsa3-7ynsAk*I@GB
zd4gA#r0@=q)UM@UaSJ#Bpnai7dkE@TcNDS|p?!lmka|wNgJc$@!V&!?&;Ue=u?nE2
zDG!^0n~~Ii-_+{w&2;Jrwv&E8OQS)g4TGekoXHlH=bzHvB9B0ysB<A8Sg6Q?5xlQu
z%l4StxTVnl9bWSlbqp<&1JLW@$~n>fL)hfMqmVds3Q_{}W;djCFc2&pBK|uDRq+*U
zt`2vo^gwS2X$&P=JOs;AsMhiYvH$N+N;))7BTnNwXyD~G@Rh&0-OSewKT1=`LlKFe
z_WvH=vqXa3lP)R_mNf8OMiOqe&HsC|Ce83`rR=L{cwf9Net=qjFL}}(fko4`L=4=B
zIoY6B&f8KukoyjrD>rEVcX~eTSJayOF>dd+yYk46)Bj-sWalkPmIFy0{x@1$Z96GG
z{qJY%+>$qW2aiE(MJ~C!^v}=r_4S$Z|GUamsduPj5HWR*S^D1zg6&!_1pfCkGSb-p
zz<3!>9s1vwp*oRA1Qv3o4)p&!z>BZ5jsV84b%LmN^^MDh#YWwrx(b<XoEkc5JrFsQ
z`K8G|nCNocuJ4w_L0mw;5Oj8*YZ@6@W|7oIDrG|q2QIB1jlY>9cJQGX57`$7<><&5
za)z74r!Jwa?TA<-p+Y@jQENu6<b}Jha7*qI89tt-Amj&GnVDG3J-$+Y5I`jY@;z9c
z`IQ73_#7ow8F1G9+S#c8XrIQna--CPI+Q%R62J)k;>feEIgfnvX(CoGF0RkBe@)D&
zKGG+LU_^M%z37JeX+eS0dOKLIKy8t))U-;sKH;%?I<ZJmZgnd8(+DE^OaxV(lG1gN
zZ-2J_y#?-?PW%_clm;Kdd8sU7e7tg*0pyuk4=4o_qDD~AGXmv)zVQk<^{B#VVams*
zTa{nr^sMw=81l?oTnPbrVftP}zB?01a=2@0;oqJ=Z?;=JJHO~9RdV@r*r8C`bs*~S
zY1(9lZoa!}BM=(E*9~3fmug55Y)-rVh!ADs3B~>g4<3jah)YofD5qoavO?dqxQ
z7G1d#Af9fhw-8_qv+>zc3cSTqZ_E2&96LWhKfI?p5(2tB9*rg5cLu6??#$<RLzOC{
z7<oj_?6B$tZ%HUBD$1B+XHk`$0}T!CT~@$k4|+`qjW<S3Hzfs`W?A<x`J^ELm8R0X
z<uplBM!TmBi>pvl@CWfBUsFNN+IkvQQm2x84XtFB|LE;622D3$ukC%tV%R7@rr!Fp
z`(AuJy;?6_`{qD3Rw#mq^c?c+G_S+6Gx1a+V#{$5-Q#^G+wdY{uHl8d&yQ3LZhoWv
z9^Sd8J^PTbHy!uzU?ckfu6fRV66c<~XzIv#`pWTplgg<zX0^Q((`@$2W9oX-i)wp^
z501x-nvC%AP9=9c5H))wx97C*vZB8WFe=??u+XksKo;Q<9%Ka`GG`&DQ`_S-U^k2J
z3hg-?Ba9^%|L#%OJ8y?&W!zA;?2QqrD*|qSQubD1kf>cWWEq_MO5#n1*s8`-akO@w
zcn@yyw|<r2x8dQ=5s~VXr5=m-r4b))@5Dtz&n#g{S~G@H@$2Vjqxs)Hk#WiY@EVzw
zsiI}DD**-Z;jKf_jmW(5Dr2FDkoF#iYR2msZIhE$xOEpkinz`hQ2+I9$cKKtN8<uh
z^bWpUrkAd6Z0EpR3KqDH)|-z|WT=YC^h(<SF+WRYO=g;SO>!rD;bP(Ee*t0wQAhi5
zlSLV*j?~>V8xUi2<Fn+*dGumxh8ToO?ln)I`zI~I9@{A@CT3VXC?m^z(v{!X`(unW
zf4B*dQF89p<<C&s;Yx_(=o&qa4(E-Oq=^En;ylr2BO@?|>GQK3s4@Hu%?Icr%3b<G
zd@E9TZYz*t45rES$0x}32?O;31YH&upp2U2pdJq~Y31pL?pd>!W@Ko4I+g4j&?m)W
zG~)ql1Bf&Zbw*$tz}=-@Mdp}Vw6Oi(A>fO^=XcxJ_i=Z1Su%9Mg@oWq+d00o@Q2nh
zEHDmRhZ1@mAq7uQ8=8=N<xNI4!Bs3~Agor+hcs(Pgps0vj-0av9AO@9LkC8d9%iI!
zx5>yfUVCwMX>F-fFvtGN?*<Y>RNZ4_d6N=8`C1x-%NN|o{cpE?`If75<x8&6o!tID
zG0b&WWFY+)PF1u6*=)ksbapl0$zkrZcCuUTn2a$}zNi>N2AXwLB_=I=L`2XgT^+so
zb?&4w#(f^y`bTWjV}A14NXWa9CWK#5HXTldqfkSakPeu;FyL|~sf5r8>VF@juYda~
zf2w@A=_nLgfJ(0XceGOWbH46#dd1_aennJ9Zj+Q@Afj_uj?sV#{-`yzO#!04igva5
zZ{y=`rZ=~(`!D#VG|&rQ^S^G$Z{xqI3IujKJ4Q>SmU1->na-_4R7Ci|xHj5)Rkqx)
z$VLIvQQ<FS=9!t7jN}9FNyA?TQ=v|-PaQgtfK3JbUUjvrX;Kb?|6B2RS9fx5Vic^y
zD69}-CbK8eh}7tVw}QF+;lIeo9HoLh84Q@x0G~GG#)Wo(1UJ<q54Ck2SzLo_A=Uyx
z1z3LGQ{V!`7*-Y*rkM;{k%OO+A?GiN@NSS378aH<r_rLQdP>JW{wqns8a$aDyu8Ti
zk;yn+KixwGTLR!afXQs<(xcBF#_dqZs!42C_U6YTT~A7_*$OaG87+}Gpp^z0uBa6-
z0sw_n`>fJkdON`^>-fdUnEYZ;&IT!Vi$}=m%}-8Wla=oRUzv2MjT08ICqpXmTLPr;
zYinL)feYRiJ^Lga-)+*%%FE%$Nt@P$6?tjSicaNHDmja$^HSRh$o)zQEGQx8o%e5w
z2sdqf-mKXxQmpeD(gwfsWfS*tSQ8U9py!EefTk0gt*FSu*Alr5Rb+f#-3KJzqi++=
zj#g?OZC1kLQEAkUivr10Gwbe#0h;h`Kv#S~%x7RW^hv~|HS8{235+ImaCj@;e^&$f
zO$3@CLPfM1%TUEBX-7FqAjvz?N1%TM>xZ##!PE^XO6lm#<#+RJ;J=pQHWg~J8TKaZ
zhV@%13?@o&&&it}LIbRh;v8j6-UeyZcS8LKxYJN2dGN5BV2jb-(UI$3#jjZ#+MQ-!
zt-oIF?ae*|^c`P+c+vSR!f>|!a5D5#t)rngqrw*F?EB8FbPQX1IdW<Z+EP_POyvrI
z`RvQS4i5s0IcbR^jH}!ghSp)k2_m$CCU1vbs>|cjr%QaC3898OgGrspJgGU0jKZPk
zQ)`|972m5$5Yu80kJah7ocN<3>BT1+%%H!^l>k5h%%a_`;z92Lhw=*^fj1om=2Hh1
zk%ZAY@ni~%QYy(EA8gDJI?XeB_n*Jnb^T)~rm-}T(?DMAA=uV}<ieohC)oIGzXi!<
zC7{ts4y8xe;CNJV$bDp_i-J%X1WC@Hq$x^86on(`?Ba7YA4$tP$ARR0_w3)|sf9rR
zuB;J{<OHDWK5?)q>)kwNf#ZXXPNqZ8<%F&ayfLX>jK01*Qfc?R{eUSCVbZO`C+YM@
z=bFZR&rXup-qmeg##E&t$#bjB$uQIgn~LJW@XC&OsNjA4WG%qfpOm-gQ8&J}V{U)5
zG=Qyg*YLU_V-8QZHwUHZ;S)F#qBA$-k_Rd==0tkmr1`7GzW;Fl`YsUKXAq6}=U9_i
zI#{V#JQqTLzYv%sIRc)iNge^nk;Ng%6iRyr#0QR03x8$FG%FTZ*~V%mn~I8{8t$=E
zlkb9Nla$v*uV)5#Q!gwouJ2h*TIme?4Twq4d(<^q?vEfZt_1ALU<riH!I>*#=SHcP
z!hRy@yAVu3K(pxO&<{O358Oa55;y@{fv^GDe?8fN1fH#e(NkIvL)ed?E;`buA0W3`
z@I)5#WddXzNaO-YrF-_xE7KUIw(}{1&DO#;$^pW!M%t`j$DEq{;otP#V@HoLlpHcT
zh!H(h64c^e@~OR4>b=AV((wTP&zm}ld}#g~6C?yr;E^PWtG5?T2x;kS|I{+^@OUG#
z)jok_RR6SWLFNUD9zq7Be?mS!i>@Q36mOD})te5og=O=l4ie=ppG+Q!LS%V08tm%w
zDwQZVinzRBL^lKIOZc;8(L3L<E5OT=EIpIQ;Uw7NEMjYQ2^%`-EC#8B7=z_gTlgC5
zw3C<J!wZa1+e)aj6dLk%>l=yFMAa7G`L5xd>Nt-5EFU$nk0(j?E5EwU8i~JQVw^g8
z%C7Mo%4~5lV-e8uC8xMG2Suj8|26&GVp{%j!XJ(gR?^nVj`#UIqcwp4H6gp(3va1{
zui(SmE2*)S<~i3^#-AbII6Z<q8dMTA+Ab&yt4oGH_;%%5j$`6a`A1M(Vy%VWwfdi|
zvtE4gb}Bs{w&Rxlm6=k+b@NM&e@jQ51qkt30!geAeAx(B-$&TDr%fO%a7m4Z{T(;_
zo6RYn#fFr3lIqVMo2>uuRxa4$P!$R%r?rCH__KeQedFeU*nk+l9bgV9Bdm9j+|xw&
zr1DV?+`Y}MEs8jDyz8sTfvhL5vh*e5e3h=}hHDUYUD@=TYQ$m!X_bJ|gzRfo(L2by
zVnhkH!Vz4Mvw-cXgQ=Yh=Et<Ps=%e#JO2J<*H0-S6;pv^Kg;=ah`ONdLWGaS;CZHC
z#=+Sgkv(5zy4_#_6iQxXVHu)Fo_!6VqtLG}YcyDZ(lwK&8}>JC=J_^GoAHT~m@i2{
zzY2#ww|MDmt8!f(ou$UiGyy>*5IlJB5bUD}o*U!DdZ4@rR4bWcVs!^CHX9N10l#KL
zp6sX0@T3FZ%feD`!f!b|u;|-hf#r*W@Cty~Pv;nuxNS5i*=cWk6rVERj&=}1H>h!d
z?$gklOCN-wqT|R-LgGUR%YCS@h;puw!RLr7%s4EQ;TgQFAurR@gC2-*bHvUrQ)<b0
zzjuvxAU$m;19bqihbJu+(vyd31P=-TmkaJG;R&yS&Xh-g?mK&evZj(qGKNzsNq~cL
zgY?uSV7Ni8@-pU%3)Cn5bEa(-$jJEdVM(X%Dm85YizrD+TCi3ATY{AQ0E+1~=-cVM
z?rETZ?oJS&sOAez4$75(?Z~*QM0Sy@%OItToVCQUkk$M=xgGlTuv>oS@N(^|blTMy
z)8%(dD>-Soiw0fMuU*Wz68dY{qkcJ<o)1-m0+6`D1km7Y<0v-NSh2sT@FmIS@~f@Z
z<nRtOUUbh^);KaJPF~cia$t_ToZM}476!$C1Mig|#FM^Q_hK7!Vm_vtGY)Q5y6bwi
ztI3f`yx3iH{28?UxW7yW4pg729ojhB?Ah8@NP51k@z8+F_UK>y{lI3AaqJfh%>h}8
zF0EOPL09qL1a*{+WmIw2J%l4?j61&W*;iG*Q-<4gzl99sK0u>1SkQdrYj4?=nwMKJ
ziuC(2<L5Dip^Z>>O2JU-<@ST8g<VR~VkGh2Cz$|E6aC!!hmM(*5m09I!I>9-4!{AV
zsv}(`kmyhO(%@0#2no{j2*$e1HdDaxq)5qk8JD=d^`_=`Nx0*C5p}Mr&<dKY#FC|}
zpUap3-Oaacm?2%v2oG0J;&s)u`XDqnH)mG-Ipu*TY4xHhYX~Qwdc4`buXU52QDXSZ
z<}Y+jMv$syAoLRJi_<F*D3##8s`#ZB7ilO}a9&AeWRT>=iAxw@R?PwxHHoA1Y5`1S
zCXKi#xW?I#*e#kqaYesh+YyvMqZz7{{pdxOqz1?DTpeK>b;lT=OGNmo4+P=6Yc8J5
zDzzjBoOJcMz;>npHn#F%#_d89(=R2T9Zf~VyDqB_nilFo<_AbKyDxLyH3G?oY(vg9
z@2X^=Z+8#RNY-<Jm*DuEdAZpJgiH{Q?9Giw_Rf<MJkfetl{q7LpM@>N+EKeGk5GRS
z8b7JekWJIe;!h6T6u&LB&Q8f##Gmcaw-P?vEggHe;f?zGD+Z$QN?#k6S#IwDxgW6D
ze-MIZNAcv_+4nj9&J7k^ISnb%N&+cOAr;#FLh7+wyI}P`ynKH!EjSkdLkOo$Bq=lT
zrIrQTIET%-*9YKInW%yBeFSG7Cpx)h(8xcRq>)>#%o=jzi7LU*(C1%7B)hNQ?}z^V
z%ly$%7jNhcul=0-+g)1X=>J5m#L+?A4#Yme+FMf}SH&kIa=!d>WL<T&DAW16pn1%H
zL5+pL{Q8BZtwu029E99_X5Ct-zJCxIhJwg2^qOFZQ4vVyP413S`5+Ws-}%|aR768b
z9|Bo|IQbEZh2>?p#;ap1{>4R~G1?}L{LQxXZ^@NhUqE;{`1Aun71cOET+wmnp4_GK
z;i#m=Qt&$mdl*39VL8>`--5WjH4MoEgJ%r*XaKJ$<z4@gt{O`F?;Q(Yxtcn%O#evt
zS%r<b(D3uD>(|_8;dDqv6TA)i64;GD&Rw#N4u4s}+1y&1TBKrEX)>@T53uBD$~ua9
zrtkZ39}*{l1{0WtN{EY#%M_1l^xedJe4EYIpWRYWxR@q}2VhN+Id7MUFj7ol^A??_
z>NL;6MJ$j&{{NWz4rs35_x-n#i2B%jlk9A=$=)Qg_uhL)A|oRsdt@aE*(($w*<`OI
zdnF?Kf4}wpo%8Q}&iQmY#_Rohp67n<`?{~|x-I!h3+BWUvPFF8nUQG$<u&A`8rK0t
zAvv4g6!JO}uQCEdej{$hLA{iR?8Lg0OLKNit4B8cssz%w3Hg897hQSM!9B9<F?=^b
zz}WEprZbi7y~rFl-sg5Tl6xMW=E$b3Q^#vvx>$MeuA8^*x9arS<F<ue<n{FFp2XoZ
zOE9g{>xb@dYGzijp{Eh(%~PycqJRAHC$dU++D86tf$Na$hitc3y>k>WU?#-rpruEO
z!yxqqgeBZ($SXV2vBWRf_Y;x%Y~xA;S6AGeN2>;N;plp&NC#YI&<h5wg<cAKZ+A0M
zWBDeO$r-OX#7S?2gZ!YrqkIJ(;W)sf(a=^N(yjO5S$|z1PY8+hGy)Y6%;mGNQ*{lG
zOmgC4{m)*XC*5$-d452~rz^!Mn==v%q@+$U;Xoo7u&#zLRN(ydkPf|`VwT;Khb*;s
z8OkCcy#r6pSF|;eV%)wK^u>MJn&wq1&QXdfTsJj)Rl&k{0|;kP!h|k*IuK`9_kn6I
z&!`B!-X2SQDr5#&hmL#$1i4N#1Ox<ksrzOUCl0-_nDFqhK5b9iHqpvVFT0mn`W!Iy
zjPqpV5)%`^aA_x%T@dbM_QzS-zZPN1y15$Gzj@C*kbdF?p_Y-#N=(#OHKV&Pm7rnL
zJ&=Dz<?YiR?mu^?wye>xZ!ll}FMidi{3#@<+i!#SxsV>B+7o{&RmQAY-J-Cb>k;)<
z0YVA$n?_sFQmn|HEvh7Zd<3cc$7jf7PH1m=-_K~msmH02WV^pBjl-{pBi5!09I0-j
z%rCo_y!|R0K65jZMr_@PhmRhbHBRql$pQrDu=Ym0_uLCK%C%LrR<=VP@>@g;e#hpT
zA?;teu9%sgzP`OJ)^!skr{$YBJOX^z-aHV$XP-%?Itr#o6Pr#;>Xl?Fs;Vtq{5HzY
zGoviTD;k&%e5p1%I-1E~)6h8qs$~@>P)cXnk!0;(=^Wki)zsk)PvRqQeKl|su>)vz
z=jX@+0UtdTejJPN5*QgQKps1+qSj!JotF{z-8!72C~v@&XX+<QStWa^PAL`>cF#7Y
znfKH5hswXQs0gz>dOgSYvCGqTK0jg-`?5k16~<f9S^_G*OwQ9H+a!-r?UjC25)l!$
zJC8zOzh}J0di`ieXgL3gCsTTPgCSCn1X~g!e1wT{-ABt$L~@~eH-!z!IbVX{PIsOU
zPCjB9dEUN%p0MR3wWv|qzn7>@4;?F=M19Z_mgz8LP$=7=>t53(!>Za)dGwU(36Ssw
z;)ckd!G1kkPGxl-Q|7Ox4-6H;!&{Q^wCoXEs{29E4xXvqn7`D%ul9a8b7SH#^q{}@
z8!L|dv8=xj7Zc&-BmdTdf-Q9D61ZAUg|cz}WJt&f;~*<Si-?X<g|RLar)S9Eig|Th
z)hJj0fG!P6)Q2`E_Sl1@`zN5BEHAfUTqUN|^W-2VvdxsSj0`8K(EaAjYsGF9BNso0
zv7krif^A@5_sZbKqlOikA7`)A3I)!Mu*=zjyZ}kTQhM~dzuy!pJa!7XHKWRC-?BT~
zmOnBl-42KH&GpBFhYvA7IgUoz%bTT0G13Gu)E9&y^?tM90cvCu(>S+dvD<1r<9#)V
zZ-B|exn2ZZ2Rjxmj%49m6B(U#Iq;uH#F5?WF?xZUwO`=uz7^mvn&Yc3DN@Mx&GL?4
z$M}-ilkoJPcVZZ56xmNTW2+kx4Eg>o^R|4BuUqL`+CC?uS*&*$SCAkhs_A_s(vkHS
zSZ0z+6g@<$x?5`v4(qe!Y)XaU4;S9PEoVFgYJX3UqR~Y6$lcv$@fWPXsDgWsa_LqK
zh{6;iq78HFjqt29XW#P9cur-QH7ZORr`Gs(iIa3me%*EFSIohd&Km+X*L~Z!zZABJ
zXl&A?T_WGI1Bdow>4k>D^WJ50h2#Hzdf5~ArWf5kYoXE;f8S@1{mIJwtSB7`SH7RG
z>tp`}3{Rv*VZ+Hr>EOLp%GBOYQW1a+;?J)LD<DWpl%ZeT^92v0b1)BnZOB=nTnY8E
zGKg;;zBJ%()TA}L2leOd+n$qI$**nRXm5d_92*O#Q81&LUH$8?Kcw^2quG@G>4U14
zAaN!>WOR93P+-x(#+aUAnEA3aqQ)MIK+chyqde?+WBqakW*JO)+-4s4MG}uwi{ILV
z8qxcdPo(&HG>3{*JHB;4r`@<Al<+Xz=7(zDf8o+G+|J2U%5CS@RMPr}NG<Y)dYz7)
zhR;&z!+blVk#wd<CI;5%7ck=YWXndP`S&JJs|SD`B8Q0=D;E$DATKWuRcio@P(?OX
zVUEi720CIgOlTFNq;zD^=rw1ZYr5CCnQ)liJxP{;Zc+hQ(A3|Dq3aU7E{fta=OYZH
zSUpz18wv;c$zxTRMu&$hXY1Lbt2|cKW~gEIjmV=q{@#Zcvm9h@smAXEKNp!7NomKS
z&n9Y8D)?u`v&I=|@uU+<<660o?pFxSlYnkXzsK9(0PMvoAE{t+r}U)Rr&-3+(&Nv*
zQ;t1;k_;2Sg*?cz+<cuWR0%{$FcO3gDUmnEBM}3pj}aY<(A)e43_Os*R3lC5X1!;e
zx*PtM6z4R-K=Lr$dKhjE8f;p{k<Xt$i+~&rDZWBlM!}Swi84n-h$?Uq|NHO1>rdB@
zkNtY9A|tsWje^nA{Mp>%pu&uqDZgEk#yvxHe7QB(>tZ;g!+gfQVp#E3|Ig#bGld`S
zRf20G(ll!!=%|b`5#pi2AsEuak;JsZp13#BZ|c|B4y_zW3FAxC(#3HqtSv3g2OX*z
zMiF$Ev!-q~zO@%y$yyRfSrYP|a-$UK8K7<(A9(w))cT=fv*<WwyxJ}dv13E^MSx#?
zqv1|ws)cKi9VKd_P{obyP7kyZQidO7816RJ+RTI?Ph4nXlrc0g00MdKw5xcoLz&ae
zz_R<8{U2UxcX0kp)^Z~C@kfh9&y(aqyq-G%RLkzhv(2WQ)jX^)ee%t~y9hk>Y1PXu
zV=;>u?k@2{7gfY1&`5#%`d8{?0ZA?m`qP6P&-uFc0_kEdan>QB5-$oOdgOpnnA)U%
z*#Z9s3Z3Ayv%$-=InGr0F=8oJPL9YwjEd$lAm1(b=v)#S*Qcl%@pD<lRl@hC?Cwfq
z)5)&|gZUBn4=NoZEZ-|aGET=;G*B5eO8k4~rl<WKbU##!4mPXRTuw=T24WWgr-2u~
zm5*%8!f{)7!93c-#}$+=gtF>Q-I%vIJVG!L3QAoB-}08U0il-nCx8z$=`&Z)6w=m8
zi+Qm}bBTv|ynFO`cWVzk7tT+B1c}sGwq2gKts-)`4~@J@PWzNfdMpzK((9c>a>2e@
zKDkb?&C^;a9}!ZD_E&fGJCzVY76sdN9W^vMGP1*<1?AokF8droaWI%*Obiu43qw&W
zDhOJ(4&+doXxZtX7EY@!xUp_~XG+*~ky>n79OIz<1@7hLjgFzJcP1xACc;NU6&D*7
z7i-X82XFQ>O=9@E+}rdUN2hRXyV7a~1Dn@@y9%Muz7`ix#eJRED|Ai4&n_%C=UN3*
zjY&utew)}$y*3UgpOKp1I54i&cLm=>(7#V?=9)xEAb+vJPhOnwZO1DV2$;+GVbW@K
zu_FTU3s}t+fj>rz)sdt8_78IJnzVkX=I7~}tS7<)@1%9l47Cs+$~)2dTsR^v;gwZC
z$0EP?Fn?nFxWgW2G2xY9EiJ#&j^NEp#q2sduUC62FT;n0XCzAS<RfFsOIaBhANV60
zGbs|D2p1h`Y6p7J6744c&~qOcy4L8kON}V(IsC9WKxz>abVIzOP5)U39pc@)A>|qN
zc)5a?>Ssvq+QM=6LgQ#HtYy7Eq3mF;1el=~6U@bO6X~ilXr$k)`f%{-8P23%BPC2t
za}=0yK50I;aCh*uZW7wi=qm6Yg<My+?M*UIYA;=Xp)o0&&yHq7U(B#3;W_MA^(Nh2
zKVx`TWA>}&1J9S%W>hahwg}o&``V+w+TtF%tMXjPH+cU9mW~UDb-L*<0zr#Vl#$X#
zF<mCj^HeuxDN6pqLDEGUa7TZ$SUvaRXXlH;;uc|rh{%-cJzt?Z#-Gay1`g=O+`Qx!
zO*0~Y&5eKx6SAaMA<uJv1cjcDdxI-mBDXg?zUMCRIJRjgw__1QkEV1Z6d8HNB+702
z_dm6V$k-(fD@cjp0NJT|PW;>?h)@>DMe+YJF&ZxE;OL{S^>7g?N_v{c_-zKE!vn`u
z#_#arn1eTKh)~>J@nmn^Ds~5}g9~1XeO}~g4LliyDS2(@Gi@!^R>&n+fnslI^2@tJ
z<02utFnty6az?Kwgk2BZ2XIJvqYz0<VtOfF6&s2yxWE#A6!$>UrqO7%C}_dN#6(_n
zcAL7_S9$~kl`la@QOuz$s%%!cCByF-)07x_9#&y;G1bK3(Gd-eN=^2}p<;yy8e)W(
zXJ(xS#q)V5eY~Iz@~Ga~8NKm6cv<)HGN_5R5|H|UsmV#-;^!dg^L?ohtme-pwwMn_
z8%WXYk^1E^P|VyAgQOP4T}y7of)i8YQ%_~knVFb2IWdlBXS2|MF?LwwrH=Yh$_?el
zhv9C&j*o-{bYFDBi#NSb<mJN&`&wXk_Ij=E`(?2H_ab|6^<0w4m|%c$HR=6J-TL;6
zKyjGW5iU&^oqrstW=nAzSnQt|SNA)6zR;MaPM^aRo|^PDEJz>a49?JCZJctVvOkH*
z4$!gCLrCr#%V>H!i!Apf-9h{U^2>(>9x{t9kvod`MTA%s^I2G_T^;0MsMv~VWT-Xy
zPlgtK6+M!?J|4D&GMFCuKC@>D^Mz5GUs;Rmp-r*vJwuwb@<>**roO)TzK4Lngi(sy
zjqLeXTIs|$!aL1T5M94b$2iccs$Qs!c);pI5Vp!4=Sn+25Aq)c#`ydndWq9&iOr^R
ztqo*Y9~3))_*a4W1q|=!^;P=tL3V_u4!ZW+pdpNcm&k;R2$9r^kd7$0O}YMC+5n@_
zs#&h-YZ;ly<zG{GSJz+SY<SYXIjergl-=3Jk_{)uAyO2^57q3-L|PD>Wb*3FBOdcM
z50P)kg63l}(Z_`w3rE3Af{)P<7b`9oD_eWW38KLLB0!vtyPS`A>ybeaaL`K$kF@>P
zxCG8SRRV7`LQy59>AnRvX+KCpqe2^=QeoaEL@AqceEscsb9VN&-(Nd>N&kgURqwn<
z<#|dgB*_~lPGW7#z#a>lKkx^f!KY<Xkk8<=3IP!1JMzK`$3;q>E`Q&><eAf+nwdF8
z4oEHg<8s#Ja@KzLti9Wq79ORy@N`~MX>D!Gt=o;VyTnRSD^&6g!#6to&M1rmrPj=T
z>%puzxh5G;wuGD|A=q2ivb|ae1XV}rBEvel1_xs8N0ioGl<&g*za$EU;vzcC>Swn9
z_%H4KeV~j>oBzr57t(UTckf5=`L507X0U{asOTAtfyfaH@XqwHK`!CpYxPo$iyKG>
z*vD`f?w#*0yJI21)aue(xbX;r*I@9GPw>&f&)n0-+*72~PU7!Vi7VSYSkyLX;b*JK
zv(#2s@55L5&;)M7kGuyR|K8=QQJO^E+k3)pV!3V#@?It}3|8Ut(i~qRrRDTfHcu~(
z)x4MyYdY=22S21aVhS)9{@%NfNKlzkZPQ=|+(+m*kUHQ=jNCL!?p%#Lm6_<AUav0e
z%OjJKvLSu2%8Kc>pjVO~ug`47&7X2KrgXln^lY93dbXO2^SdlJw#Xkn%y>PN{!*0P
zpcl*<{s^CTE*w&iieymRv~DSokL3PA&g4QmKO=9)4J1cwet!P&@DTQn%SBJ_nc_(|
zB?LJi0C8Zz(nr_&83wldBT@)H?zdI}1sbd`MF*eful@SPMJA^<o;n`A;mLPHa=PyP
zVlzQYfc$3uyz`|(Gg0E5#*;S$Y~pfMHx{8ka_}8+cK61!m1R;dN5|Z-aLce;njF*p
zhNWXodL}IfHZguMo-0s%_aL?FD|vlrh<e=pJnODBMny=)Bo4{V#B=|{cse)VZkcIU
zfr5%iAJ&<Vjt6Te+SJ~bO>{D3TsG>4jO212rp4Ji4|$zWSN!{LZW!ABTOzg=77U>B
z*HLG=_9`k8lcN-_{kLODi@zd$x%}b?9fWA`8SIAgaF11(JlHm2KBp$(_Q!_N&8Myi
z+%dy6q1?(aj$|#9pg#{`iVPol+!8oB47ufi`-7TGvUtnfK@t1AiV70}<AV+nVPWu~
zYL<^0C@%^^!Gepo@?0$#!3FY{*4^M)*;^4Eb2~A!_T(*X&)&>MYhUkJgnJQd&o5>D
z>QoQI=YYU{I80{_1MX9MfxQhj6RFBji|0>lhMP?~3UKs7R<ga~S}!PPmT+J!ks5;&
z?~~DJ(1#}fxvY$1;YiGd3r<q?l)L>4cBQHj@28DQwt2O;LQMk#L}C{qFjtc?D$*An
zh*msee=O|Aghxd~<Kyp<?KGUJYOf$P&En<X-T7lr{=e_5`}gQKcujU#P^Eb8%Rrv{
zz<~|9uYxdyuAb5v<Ed1|#LV^p;&vV)a=34C`S0_d!a3)Foch+*Tdu!qB)HmnN3O~6
zMQJ?uW`Kvv>|f#F#K42hy7JK(2xPkEtcH7S-u<wv5Wa6;BN3*$=G|=f+mAE#)Do?i
zIXYR3(MX?vZ{QIb*>f-xTO{$08_z)89Uv5?V??;IiNMltak?U}t1T)OrX*;q&SX;5
zn_C_h(ox!xskiyvlM6fnBaCr-elTS?rBzH+bHPDCTuB4R{xY3S&gu8yzhM!>R>iqO
zvM&n>G$}OudcDt<&avoW%KfH~&I2WmRAq~pWS-3a$7x0<jEXVbD<de}3L*Lq^d}8v
zTZPGz7`lfC5uWV1@7XWVp28|N2c4aMMLrUoPqn*T#&cQyujESRctT)&7#At%JIpH|
zF%z!rAD{Ru$iyvy9H1F{Bb1hOYf$t-M&F$zKO9WNdUkl>i`rPH5t$S7%D>~voo<0J
zgFRbKJsy(|mcM%HLo=7SVj>)W5VKOpcZ5^154mN*{@sZ~L#6v6?;?|1$0b=y%NDRG
zB~3)XBI+U=dR2|g6I}lV7f3l<bUt&mLX-8w^Xkgy+4E*hys+;9$%I{+7P>7I*E8f!
zt+pB+rrQ4aCAsNqvzV_9qjr=gAQg`R+3LC{HH`}9ZN>jIXzjGIEmUyPx4lm}Ul)Lu
z8`M5Q`|ddC(i8<rv`T&SET7#tQ<deX&=4D#UkZ7*7kU8hycN;AoEYgia~Ra7UzTHh
zhykCe`QG}$9mecxv@<YhV?YNS+%E>A5w|zV)n@ZHvcm~<UOQpICk|;)%L?2qOjauC
z<e^(n5ULg>l=GDi>sp&~)Tx-LXaGhzfPdm?q#_mBKYFOe5yC4y!;)zq_dk@CmCYD6
zYHh5K7DJZT^}F`Li@oGTxA|d$>~v1^kjCVZDt20@&L!{B;9|c&`kO%Qpv4q!fmxn-
zUl2Idb<Zd$C<J#}c26IJUtPzW(OtXVJL~jHLzNmR8Gn2G-65n+y@X4b+nfK^cjV=}
z3C4?GLcV$K`P@X|$l^@o!l`Ke;wu`rl=d#hTgfJ#;6_r(b6FozYQfC@nQYQv<d^|d
zb4L>qE5wjm-iw=NcuL<qJc)b1)LO^cC=%6B80Tp;s1bcESsl#1JaSGAD{B!}BtazL
zFnvnuDB-?am>e#>Xx%$MJq<qa-`|X8O1rzipF8kq{5?LN;xwZxo{0=If}c@DA<l0q
zS?Kche3c(&M(m3>P6?*K5Cki{J5f<sYq9ulW}VCgxb#jAKH*c2<LlR^%Zvge5wR~p
z%IoMYymz5f*m*eZPoz+wo$hapqbYxA{zUqoJ*Rnn%L;(mv9Yn6Bp=m_N2eU++Q-wG
zAa3J@Yi2Pr$DSsUfSMV`dhQlo+ZMcv#2eGoLOANvlt7GwLA}Gu2k_=92TA{J)Lt*6
z39n)FHz}6c|DDP3*a@CfxNNk>t1wy22oRdzqsU~GpT>}sWO#>LcAJROe>wWsZ_D55
zhAp4eY<>JYtoH?q3-B}vWyA14Z$`UGEBoEl?#-%A-g~#R)YWw|Jw4rA7oMrYlx=J}
zt54q2?IxN#7-id}fOuv8X>oWG#yQIsB;1;8M(K7Nd3^mUH|6>l`)-YokLNRQ97K>S
z*>r!2vZX(0uj{Ryj;7jbPC2v|xxu87=q`L4RR+Zr5fYu_c7vXLrY`8uit7n8+09al
z_vxb^&cjwDjBNLHFrt3@0U!%^>k=3<u@r^jrmL)!%>lFXHiC2=0j8i*xGJewd8#@X
z2nNQ)Up0aR(zNutWxTMG3pXe~!v6!VL*HP`9);4||31tO$HtTFMjUj?*#!igcEqSi
z+)=%WFe59*Tqae;k+i$xXK|X=hXQrANl=34a|5k+W}Qr;8x3;@E<VEK^wV{*mLYuK
zqnj~8@nzJNKy(R)28dUq*oaqi2UOj9CMIoit!StpA(7|APu#JKkdT&Y7x2y-%|)XG
zIDuky1o>cFPZy#7@0x5bnb<^{lI&iWl9WN1>ZJqw-j=UC?Epx0#iMr9iUVGAaQB~H
za5&ovlE(_g`J6uSE@d<sTO?2vBk6Ip;RyD^_D6u+M#SNGZeFFguhEs<i}|3vO39@K
z+Z9Gj@R6$)k1|Iiz+V{xD`)EHkuftN;u#NCjYq3U_K-4H)FyE*C=bW>EhKv%k-4*(
z_9Yc)jEE{Gf*nO~Mo;m=wM4ZV?yis*HmCaruMi<&7LHTvpbf*j+JKYA@o2vAfp(!1
zc5-nc&`e~EwAC9Y%4-<+4-S^#=n)s2bUp#v7WmWDk5zuqDuMBRTx$m>j7HKFAz^VL
z-v;zAV3Z(qA|^Ijig3A;dXkljJkAe6Fb6?|VEZtji-Tevh4w{?J>3tx=Jk60GM|<u
zT-o7jo56f$|NWN1xVSiKQQz-P&Mn5lljP#}vQR_3Z``Tgj0`jWYFksCLLz-OI4Z73
zwydLmX9neGtp1L7Jjx*q*Z$h|7r0n+I60JqgjOga1G9-QOhscbw`jHHI`0v931>sV
zWGCMIbMh5$M={a13>-s#P~SurIy>Z-IIxV(bTS_XRB9onpI>HEzbcyJ!MctZ{@g5&
zk|D|RXKlFPCEn6a$bD>h$R@V$5@TE7!~H3kTLCO0=lTG;=tH20HeNVE)a**53Q=>R
zML}G9ffABk8(2E#Kk;c@e^ae^|Ifu2%)u-iceHPNJEqT0CQ0|#h8bq+XheNO8jk*&
z(kF%#-bW9`r){ZD0odXEF^$HCV7?CmQN=U;)2DgVKd7Ou&U<f+?d8|u;RFqf=Leo<
zYY#odu~qd{ewU}o`qn(c<f^;>R8RB~b$uorG=DHBTz3}5gZ}Bwhz_B+Q3e=l1`|GN
zzs{{7BhP>T7Tjm;?_Xc>+$7gz-Rq((@psH9*w{LjgyK%mFF3q4lC*MevPUt;Ey26l
zzL~-(wmq)!2o>?iy<QNF)V8d?u1;-G{t991T{d?E^7^Ql&B77%?{2<bI6Z%y$Y^O*
zd+Pt2Qc(~ujwrr$o`&c~OKj}Tg(Dg<e{JRim=jv6=c5B%OFnYQG<bOKzo*w{V!Phs
zDV}R`s5#pfyg&*s&X>2;M)BQnorVZ5k*EW;lthifq%?ihP=nugat@_>I62-hNQHph
zGkyYB9&Eu;Yy}~7RH*{2X-&RtHPBPvdxpdb#JR4ntGPU&Z9}Mc$dTKvc;(%jJ)f8S
zyAJg)v|%^@csKLn#>r72&^uW(eA7Z6C_%t<B}d>2d~qxe{`O3>NULYr-KGM>aV{F0
zkB5ClcMeuqJuc?x^4*lBIp71GocL#ad0$&w+t`@y>^W1HeTYhVE8>^+;i(=>(_&O~
zpF#z)K!JR`=x*o5#bf72E*)Y7=4^OfGacFDi}$=j9G2`HVz?>ZY>|Kad)-RD0ZJ0Q
z_oMStbem!^O=Yv@F}3RKJ@Q&Q-{arQK+`x4Rze2sX7T@hwq<ukX1irquVhA}GA}~e
z)vv>M3zA_<r6wVr`83up-?=zuC=dqM?<O0FWNTK$q~ASN=4YFZD*XIC-3n7#BwWqq
z5i3>h&F`_?;1P-$>d79+lms?Jg0{b2*QzCkg?V{*owA^sg_R|1DP?=3C@g%N8dcLj
zNzyyU59Px(nmb(ZnuGSQ63b;<_i0GV;aiMtQ$Bhv#w~VEcY0LM(Mf7VveEmbV@n>E
zmrA4Sgkfd8vDH(jj9H&cy-vhJ%vy}wR!F)b|E@InbajC@|7N8-`;AG^nLb)BEd!*!
zzker5J%p81F*PeDGW(ej2dC$1cZZB)e{Px@u)GYZ=JI>Q9>k5Z8!LApXZ^F(Z@q*T
zGe;u0JlVfm|Dr*w1kmLV54wC$UjIt$_XzRSIyaaP@L!V5Sc^@Hl;I(;=k$yeMtV2=
z{;61|16h2kk&S}`q>{NGNTXdP+db%hb8LT|3}wu%d}-j9P4gr%>?Nb(w5Nv1?S{0L
z_>oER5SXiUbz@o3;9rH;og4Hw=y3UPKYd+G<qPq3AP}JkH=0bf;_M6QUYvVGGP6{2
zY3N;P%+Ue@0-?0D$#T{MVt9y@pMME&P}#i_Y}X`2ys1^YtTp7!6%T5f$tFwZH+~ux
zF8QWo?t;)%LB^(Zd10f_pt+H+jY<XeSIX<1^34_Zdu!Kt((Rjp4zAA`kAAzlNNZZC
zF17DH$-&I?P8iuRJ+1GT3K$41mo?AbJ4sRFCz+ievTi3*n=!fd((0lwt`CXemu3=@
z*NC(z){+}lBJYTpIpKeMjYtNXjgk+{+CB345h02i@^MK4n~aT~aVI;Pg&&wOu@RUb
zC5gAsoG)#!cio{{`E?erpJA*fL(YhxOBdYeiN$y|s=EMxwg+M!jMwE-(;=z?8F-t|
z=Wj_i8Xg8+p6t#Y1+86^=7{yWXu+nUUx&nLJd<Q|a}%nxo<($3b9R%@OH+XfFZfk?
zredC!Z~k;IEKm!cd{((6#3nL=7GkA$w7a05Xep3+ThU!8j-W!ZU7Y3@!4pj_>xzLs
ziJ*8Fu?S?YSiiO{F$m{qG8R0Myhl@qNflf6LWXsGXPr+b$P~N-17{&(l!W*)$lR%^
zG1xf>1^LnMsPzkhL=1YwD?u6}e-wlrN+9VoNcqFc-pwADzT#8ci`H#a0S5=cAhQ27
z+bSQ#GNlYdo(fly)u7l*u#>K@Z<}S`)ef%}O&(ToAiwP_u;iPQ%9&GG%JWCf#m&<*
zIc3MBt8QDV2>b)Ft|d18?ZGCZ)yUIO@L1C9W~*ROf#=JTfYLA~$n*mmvP8T^bR%4;
z2$gH=AVAJq!5<OEgl9kRY#Fow-hAunN+obL<PIh=R<g5Y_NVk(b-UG!!y^yrPhrIu
z$}<-*Cu)VJGYm~dIoKHpRmM0)qVS^sIN<)47X#+3=m^XXT!ezP&b+F^=Ek5-uZg_y
zja#oSYl1Dql-ubLX69!3+j8YFk>f`Ars18`-t%wj=i2_K-|yUw>HF(7<70HRwIh~i
z^^P6ynv|<7ci`J8M^57Bb2|zQ_KVpctmw6$M0Sak1^V0M%^moh@>;A8sN>RdXosXV
zzcfDo|HE8af4^$CTi6<fg>Z`n!d5WoGsw=IYW3|7gs9_9S_4aJA6Extwbdbg(@?(8
z&Yx0*T|>0)GN{Oi4i8W)ItXOeCPhWvTvK3rfGdE=yAf_&m)QuCAWv{*WU6<c6-H<X
z2k(&g9}egl80?D<*8P{nsCa!6<xyQW`~xtgCfaV%gP}x^<qx4JUy>Eyu?oL%F7}yq
zY;ED3J36ne<qz3$_Msi3H$!{H#r<O1ZW->%k;E`?nMHda;8~c(^PwpqR5*FBVeSh+
z`rUd)bjU@l6luQ-c|?)60-4vOUNA=C(x>)<xkWv(qX`UY24xSFDUNb7KZVpltH~jr
ztHK0*jopKlu0z$=ip&WyL%nJ)7(-%MnRm&GyibN8^)I0H4dg=M>Eg`l;}DE`sp6zu
z&)Nus0{@=e3bi6KC>ysUJQtpNOaz7TynbmL(2YS?uzxI?y|*JY&{(-oBimvO)aNNj
zP(if`uN=27*w?DrtT;J4vle;Nt{wP?5x+v$QfQhx01a-b*W=c!3VetBD)0>$uoK@k
z{t%hJ<|*-E?f|AE0^9{TOn*5`kzx9@Q_MXWLOh+zR_`y|maSoL=CJ7HFE5Q#m~3m#
zwedq-l>D|rqw^=Px$SKyy2C`q^@CgLRjoZWnXOK#kU7zYrS)6?@uv^_V#x!@iDO+L
zXX<?!Z4cMzRo*U?up5Z)CsbRUUzgo?Y3g&o6+MuC|3e2g14@93HnyG9*4<O3l7oTv
z#;ib?L*eM+5--OvNFk#sBZKgUD{o>GxT7MI$ml>ref44HU#L9@2;`z$C#$fRq)+ee
zRxYvb+M=*fD;;-{ZR)8AmnYG$ed-yrO<^HA=pcAL_er6#R<LUrug4dbxu~89+zcU6
z;U>j_c9!t9{;O2JOlNfHAo{g~)>oyX(7ALXDtH$H&*b^LeGgq*T$eIQ>Tl-`)@NSq
z3@7tUdE7ky$gHv=_(r+@U8&quQOPN2C`b!xQ?!hWMgF~a%zuyi9()|2#?JcD^L;PL
z&YrBwJ$oLp_g;f})_iZ@y>aUR)m?`qjAGr(|NQbu69rF`Mz1%ga^JF15?wfvRWix4
zy0Zq43ZcMq1+snkqy&ZFMQ*1#^py{9^?XfyAA<QuE3Khr#l_iqo<0167%)&n&WIMt
zXYyZJa#t8$-Lm4d7p(r{f4=eQw;)s4_n~Zflc#I{%F5{;KK>f@f};nFMoW<0CdpZN
zR%7}VCE@$HDSC<J;J7c$&!=c%NDZyuTpY8l_8uKvbpRql^UFysr77onXuyvKd;0@`
zaoyEWu&uIkPyBelehq4qt~4ZWLzVa*<u>`X!jYzfqf6sR1(xtgA5Vr5<WlZF4bFk|
zw<V>Hk3ppQw<ZHGDiath5}WK524rcz=Lr+MVO-<~fIBUweeL?x!QUAt%sWM3@&Wyx
z{o@Z~!X+t#*1EyuG@xz=1p4Wxk8aQGwuSSvdn}=KEK*zBW-FdcLq!E31HF>Tn=6O)
zxSz;`TmAYaE3$~?p!#W@rHl~;ri?}3I9koYfE2b$!M#V~hHKB6{^ZXcsQa{ywmQ`R
z-C&!lJ0I8Fph>_5UMU~>&7x%PuBvxO>XKlT2^Ja6b7Ze*Yw#jHL+*B)#B_sjqc~_C
zeiiqj+f{dKi=V}+d0m1!V_$4U%d?8+@$-tb9!nseFI9Rg|FXvy!P8@vtbM=zyNCI&
zj|?E6S}eE2eu?hx&nUK*`S4}-!=wzKW{>6Mo`LMZYlX6W$AE5sUk4?%-x5~nRXCQ-
zoiX8szs<{MByf7!zHxPvpd5pb;3DWig$E%opZNrdi2II+4cKa9OZ7mNScUIn(FY1=
zTRx>bSw+>$n}3>?gk<<gai9PkV8RCOkxr?XEW^p}JI`GsI6oLDulS6w-PcmOiSg86
z%O8o%R#GfomE8_GtIPkAoHap$b<GGKtgtU_Hf4WgufS`rB)@x^{Rov}K}W$LgkUCz
zi=*SazJ<7@hSBxUZg8K6BqCm*hAeiB+kzlWlp1gxH5av!+sTrQDmZ|Mg@UDKApQ25
zIG!6N3>s=T=I;7WQlwLDmn*5~3XX-=^S|x<3~FpH9OzMM$af9k=__FT(Rw4>ybcZh
zg-$;HZa28+3zz{hcW_Wr0$<g;Y%Ky^;K2v^WMbc1A2}8UBBVwo^iD+e@tMO+U2eQe
zqFtzv-dl{so~@omnaI^F+{Zf8SpWUJ9fj47N@zDBiOj-+JpX|rPdA%jBgXB+(e(B&
zI52HqH_)*Q3OZM7Zf-0O$R<33X01?MY@cn#;R&<SHlgAd8~M4IYpj=uUt2DekR8gg
z6+P=frrqab3;6U<Dga}y(U9DNvU?8+TpE9Hk(L3)fe<ApF?Lz4(+sq{jVl&jtr|}I
z0rml$1EH&QFniT+z9Zs4n6dQ_dGE92373|_G>b_eTwPCb%y5Y(QCi-ew&YnqKuvNo
z3S_1yk;1nNd1$roT|T<G>^`b45F*&MwY?3fz8aGKjZPbKQSfI8-feaNSqwMabGeW(
z8%u^n;@jThvXAfXx86S?+l^a7ATlhM3lwgAaa}^d^K23Ps~d=Lxl?<yH+8|R?%VEB
z?Rc@g<BYL^LGz!te@ny7FqtuR&%($oFc~pXlMGd`)swc9EWO_Q!x2UJUP?J5BxURl
zT4&;8bQ#j=5RBn&zy6xO{WA~titB<^S43-{(}cqfS|oQPp-<!-OLDO4oqer;Hi;Ky
z_r53}%G>2m9$!55tIpSl%jN)erIJ1050BWv^xmmd<GcR<aRC;N_K(jZ+WbBv*AzVT
zkbp!A0H0v!0!=T=XN9qdR}6XJs*%sEZ(wk0%0`zzYUi;^OaBCs@40$%R!}kEcgfGF
z$U}<5l%%MC-+9LSYNXKaD6OeLX3=o-fWW$E7PbD*6iMOi`O4LnvmejzB1|hE#lSC+
z_%_AVGQclsamtuI=dAwKxzVt7#VH)hS0HYj=RHfTG@h%XV@N8|@aSa)@PO^EYyC(%
z>YQ_GB*tm=fvFSkt{=cYN1}tLkq$^m<$pDH%bcr_3WMBBJ%+uF`VI^px8h**p`)P7
zr=V4)yl#t8h%$JTpQJ_4%((BLU{ivNn3wnoZb?8nTlheUhR6$#G+lWw;a?-(1QzX(
zcT8DzL#LjEv_g)=S)G)PEm05DJf!|PsW~OtJVtK_X%}B)kLiPhcs0wBuEO=LD~ym#
zU11XPUlgAB@#nxcZy3!9w(GwP6ra#HNCE67a6uv<sR)K@__us|{2fc;u0y1B5_uaA
zVSgf{-``(!Hh*C$PItavg_;?NK5BP0(pMTkPGVl4RVo(zvKlY`2my*%lsGGV+tt7j
z`zJiMkvMCZ@3tu7;mRLzKG~g$xT}~5*a;G*?-f)_&_EQ5{jyQNRV)(#vs;?<6v&>@
zAxJAv8X3h9Nf^KE{zGjl^!k9ORxD_25D+oGXSXS`unU^on!M~}W017)k^69ae%HoD
zhnz|w@#n*S2}p%Dn+yyLrW}b8?Oa<&ryZ&L`D3`IczCEvHBO7+eB0ZxVlKfpHmf^2
zUywUY>tDzsRw_x-Tx@Ur%iM$W3Nth$Qd~vV{r`|R{2NvK#U;PrFt7>F>+i>M-|fEd
zlw9c%f*(2bnTML;cBA347+Vu)&X=A>Rbso$ic6Mc<G=EC7wTDUhI*^*)5}qJ|AsAI
z8Bwv-LOap&ffppqQ2?c>EhuE%H;YkBl)*I98#fBh99=({s<r`Gx=>y%JWOV!`RTO{
z+PEcf+yIRn<*j&Q6{7@$jgrvG7Z{S*RJxW%3F^!$2CToCkih;f=2hHj=~SGkf2g`d
z%fT=IJTiux#=5o1X$G<dhUuB@I6ADD_bAskNLc_<_ix$pGhSKly%Ry8ta_6UK{woz
zk=n0QS64TGhg0=VJ<6*(-Jd-UZ1H=Z0-1AL#&S&)v2qEIYS*3c5eYf_8+~a%DV$bg
zxSw}QcP#}xKKs4gyXXq`h!nA1f3Ejp(TS^YImY+_EHipxC_-eBOE^yuQt3{gzU|#z
zcYX%k4nr89m>9WY_5y*Dh$zIhc=_DX)5#MB&f>rJo=E5w2<zg8pOVygfWs5%%a%P^
zQKG>t>VNR%=s%n4sZtBzH$aHapaXtM@A4-{f#>-UtXYd<xitxcz-)5Lv2Mz7o_%qF
zv>+MPtYZFL4t=pOb8_9c&gaLexTN}<M(=?;#|(CP(sXAv*g>Gkgyci&)lh6c^PHo)
zi4R$66P4P1a#s8##I0hH(RE1snu%|bTC{U%D;3>GcRB9`>sUZh)9=O3o3zzr%M*3E
zQKC!XqGy=%-)B4Ib{icCV|-YM#w-(^=(_N(Vw33ZRWCK}f7=eM0a!luJ?ZQGNEC~z
zRlfQ7d%AJXDnQN-WgT3M^xbX)U47-7&W?^M#iI}eeQYp>UOz&`-?%;GSosK261jrC
z^1B%;<tAG$m*hXz?RMYlmx=4shyq-!u$?uvD5w<n)SK6!bZkTtoQ9jq9e&t-h)nsZ
zno5qS84mUAkBuhFo2&BvO0K~8$=OHxVAgBSVW)$_qG@i&RY+8E{kr65!0wSFp~f#9
zF+-st5Yyb$CN?z%uvo=)D2vhyC{{Gv29zY7^m@(12zuk$9KsC@iI7=W)Y5_|+&?Y}
zT`s;{344$3EeoP~CGNeMJJ5{_73{JtD@yjMzjwDtROFpFP6v{a0X|@`GmiJ~L_AnZ
zuGubr@H0|jZQ0pH=3Bod&+at$d=)z#dLn9rWpcJ6?lv2F8y?J3*CfPC*lcPv<WzN~
zg}l%*hDCqab5D!&wq8yO*^@~7Dd&~I1s8$L;t8-?`eW?kLh6T$)%~2Gj)|<~w+?C-
zy$VT4*8qWJvEaaJGbD{JK~I%R)QSn7nHAS_joc<wU{t}Jn@W{>5B88x`$AvVj3W>~
z5;L%q5xD42a8X}c5q|NY5y*?=9S+O_+-oNenb>pwFHG`h_TMcYtvHewuyb0K5|#-Q
zPU#_3-SVr2tMTw`&o?kI5bnT{7Tdvn$d?;EoF_mEa{Swhyd{@<T~&H%Onq}Kfo}u1
z=f%r)&*CY^T?~eW-^ZeqYO*|nhsTV834IAQyQgd}k8p?g_T1VQbd_2jN8`rI6=<_U
z_k$g$1A5WlI~k?ezG*U$9Jl87`~)kDf?=T+FY}mt!ouWoDY=9BiU<|L&dL$;Y`WzS
zLadVnPF5paY3wwKKsM}3tDjed8M~Jf0ceS2FO5X9M{Gi5_|E);E%lHw+kZmcvFM=g
zTB31wspOrO6XNc#m2-?L=$K)G`9WoT4YWlc$^ve{MfiUm6&D*lo#r{>A9{qc+4IBe
zdr-?Pe}(8ILO~`Td?8AueajZ_2JKVAnhsY{>V;vAy&lUdXhu!u>a8ibqTf(u#Y|me
z)mE;-meKFB$RkFCjHca)8(LgkG^?HpoFHu-w%t-GZl2>t06lS<k2<L_Qhxh&u%7h=
zd<i(*Z)2F+#JYwcScvVNV}P<0a8E7fmx^_47>9>x%`;zrO4aAGjkUF2&iSX7Jj41F
zY{hdo5Kp2*ZFxp<qu3F|o$n--HZ%;tDMAMS79N0TUe)znIK`tZc||RPJTq7tB1C-t
zjfNohq4=*!0)Ua)%!{O@+h2&H&ZRj<{M<v<{BrnkF%l$MBvI)Rc1oBr%U>J@ny%pZ
z|NbRA#1md^;86;Ljo8&j@BPeK1-!!p?;AY7uju@C#I!@!EmrxYty^-Fn~E$@^}9A>
zgS|-SbCT{;DYX=;z-(2jF5x(|8VkHwjR^B9TKqyI9&t*Fr#iSy>N%otlbewzuolI|
z$3LZ27`@<4SAiVoks!?51B*<QL!V}b^uCz)czB*+g+AlI0b8_raH0-5=qJ;m^}Al)
z+m1<o7Nx~4PxG@GlfzZE`8Z4zu+n*i=l7SS1OkBKFrdR(81U!kYqFaPBM(jQ$UT)r
zVD_YQc6^{hd-te^2q>(@BrhHqR<gy}ZW$H}z8iDC69O{~QmnA}nbNt(DQK!RJiaM+
zmq1^5+WN7#DP<omXCyODehu1_Rgv}-ONYVz`CxA3j;g<QRoj<i;{p8n)%_@0%btsL
z>u`m&8so<wbsQ{%Mt+eksA9luv01jaySw{*l|cQkO@R+W5?}b>Gh@{mUH_AsQVW{3
zv1g6MT8srxkFk$Bk;Yh={lKw|<<2&C^$*XkU9zujYHfYILj-iM&8F4`?9lHI+nQ83
zQz6eVAZtPU2;{h8659%IXBkSYUd*FTAr(iq;Ji2UUt(~bDZ4cZvtzYQRAVH1{3T^%
zM5zcQX;DJ@O6Rv^OwB)U5xqPv@ihKkdUCu!vUG>{+CpZsyM@JlmOnMYj-EQbIGEUq
zShbS1lX|^?EcoX{L}GD>-7#@jQcU#Cp{J({bDE)xdrlD!k{h;7Gk7blL{~S9x5EhD
zn&qiY!4Uy-O!n@<vp*+4z0sgCcneY9ppn3dPRi(1kd8LVG|=WuqaI>e=uL%Q^bLr9
zwtO2%^sIIQ-3)~+uj9^~qVRCbn0<CLbg5MXz8CjkmTwvxk%RRKRv2Ds-SZyAEBeMN
zx$Hu0(}8Qh?o?QPvwPU!G=t#YNGoKZ+y2kzH_@vb<!|~V*yeuTX>c^A&Cc;)1MT$r
z=@ADEQ+PW{QFwhub)l{o-sO5$n|-a4OhIb*Jxy^cK1oYr>qL#8e%I9U;Cvir|HA?e
z2xQ@HzcA1{ej{gqD8$>fO4ds1VZ^y_5wj%Jx@%Hb9K;$2PEtZN*}`!TzGS3FqlCoB
zqK8DiHzy?j@=Bn6k1By;>px;3U|81}1Z4NdwqxeL>vOJnE(E$~wg<IE$rFuad9_UR
zl31nr3%V>Q?}bCIhhlrI!!3dYv7`+e`SRg_hYRI!5^$x}wo7-7j9jC|yUvqdlX(FM
zqrt>_lQRGfWL^FbcUrjacoDd?4E%vp40A52<4eb^ggxeu&SAw)?$zj*ap9PuVVnkG
z8=)kAw2i!(KJL8?zzvPBFWvu#T%;HYpczG$nsd;T<6t1G4YmEr8C8kYUJyL*MjyDa
z+{QEd;K`H}m5(WP|J^6d#lA2iDMv{He5@y3dhDwCu{zNTD+3SBp_E`Oem_GsvAMK~
z{xKC#n)Zhk4Ne|9g3o^W*1Zh$kHSaLLe5(CdxJ)%9`gWQhE7I2_fCeEs0WKQgN!J_
z3h5K?@!zmi6J)5las$%Wx_%E9oiNzN*g&J+U}29~TAQ_W7kJ(Dbu-%q1<=qnvD#IZ
zfx%D}Wo3Kl$acvB|5-1zv$n>e2kU&I{w&J)_<i)KhmQE<wl|oYdk1(_x&ItPpr={Z
z)6ia1Oayl&L*kC&fc8o(sy(@wXdo-eFQSV@j!|OTu`qiwr_|kMC$Wg6Z<M(!o^vC~
zi0VH1`i+q4(RF789#ywgMxLf;UPB0b#Tw2h84@&KU^Na^DXos+;_gAArkE%yo~A%x
zmySXwHe}2+tR)!Kdlb}L73R8s99S^ipay=+DOUWMsur+8TxJt1s}PtnZ&G=vcloM8
z8nPjN=mYKrKz|mBOJYpWYAQb+cfYE+tN)R043ZA-kl2@(iAD<Ax8q4N0(56G<pmUg
zTS#)Fv`t3E(c>bAt*n@55`Nq;Pz)|YgX4U#)u_8iy{+!Fn4?@c!Bb@vRp;dBgi5h;
zkB^z%P7#aTEI~6pN}p+sAX=GqQuCwTXv2|4iT1Q+jR+~ru2<=ClI{>Ut#w$tt>f&E
z%`AVao;6>aen^2x?yg;d5>Nq&=c28txj<2da27C_pPf~y#&?`~Jb|;XU-mj#nsUoK
zf`=TB78OOKc^#NN&(F`qNo72ZjtXYQkz{Rgs(*JCf1T5WJ%7k2pnx_Ky||OPt)L{w
zQ26<%)Xt;I15B)(eXO&7H}*LpzB$XT*@{vlAty&dU1mbaVI13C+j8+_DU2lf3Z)4c
z-#gCV1;hJgH{09y?AkQjR3)v=dJ=z$Ql=|slv3P8?B>2TDjn-u;@)6zm=aX`gn1oB
zN?xm9Lw+VxRVL6~=%v3}`)!02xk}cv{#2{9=JIA3mTAa|#9vC-dx7~qG3(f-GF@4r
z!JMqrL5rCz+~`=_bn+ZorB6ouTdo<%bn}^~Q2@nfbd<#Y6cRVnpS3#1IU{SrPK=N|
z{QAt*wlFovV+#E@nA1uGUr-8|y_XObdo<IhtTziv8)%W5-e%QgG>;-i#Sft?V%ZCf
zC?uv&P&D0Y?_~0jzPA1P@*-&v&n+Op0Fyg+P^9J4dQhbI=+TG3>6o%dTc8!uJ>Mu?
zB?9F+2s}={0x3xB>EUx|ksAbD=Ru-59sjUCCnbilMb|aIr(8HF2+3*hI{h+G5BDmi
z){Y|-NQ8TeF|Q$5iZ}x_={`fKeM-yxQqJyrz)T(N>mscLE&UX$neqp};9@n_tqy2i
z@}q8yJVagk93AnsEX(>mL4u04G>2pJ**NowFnjOx)D#RwUjEH^ZfQ8dL3pE>WC7yb
z?5wEKrBy$w_%)>x=I9Ycl(;2VHslfC>iC!a2I#R9Luihsr+23;)?ohIYJzO0L~F5T
z-}ILK?>N~?&rT^o-{bMEM3j%E`;&O^LMmoiNu)8cI<>f?&1dRjxq)?~Bm5!gHA%Q(
zxpoymitJPgFK;IUq=>Kj`~AZPpWS(mIu$m;8*I&ptk&lS3u<jfW~9{A)DWOY8S0#X
zU8GdhZU*%+xA(-qoAJK>Cdl=AEZv3w+?=O8v(_8uFYO+++jv84X~JH^ly^U*&x@(N
z;^*mO8m1fcgS}Z47S57v1dYx+FjM^a?31r3#w#_KEP=4zWmZU!a(!ja=^#HsQbN3K
zLQ)cL<s*_Xd7;S)9yd--L0i|5%a(iZsyLrRN3s;pfy1YfXduvzB003@9Gr6NaR5@F
z02d>`Fxj=kNjoyiM~*Zi=(vlx3Lr_|G}+DquaLQ{TSwikHH@vT4JZU}mZo*UNJ>A&
zYj?gyr<5NCKux^FrO)iod4AZol&l5NQMU1`Z2GD2(Y!<3M77|dXPVH(8MCMHh(hl8
z)wrwLS`bDzLW6ygx#B{2*J$$Vz}H_waWKxt=ez_ts$HiPPqTPJ(0c%rMB|lWVaC%a
zXwU*ziQ+E&Lfz7b2%*RK-hZkdl9H5FRC&H(J#Yl5LQam|%wbt_b8reo03aw<?sq*d
zKo1Ek`!MZX@1S=MoSUcv<TK3uV~eTA$Q1yVWV|FjCTw3nyY5p&34=v8BRtA<l$BUy
z7Dz|eZ;m|Oex2L<5+L+>ec9kzAkB2U6>d3{T|c!zym4AVaR+C#prCAvflbU%1fnmR
z{5q}K)0dh`;bvcmuK$0(ON1dGG#<=SO>ES1c0=R(-ELb=rD_c_)7Va;)TzD7;AcN`
zbUs5a0Z|?La*hHHeC?x;19tsPzKh(Bvp_H!o~NQ=VTb$>T0!Dqq|GA#P-mOuCd&<&
zX|IIPP-=MqLgN&xIU}mt<V4<|E?bQ1PcU_u*l}CLubS&VPycbtRA5%K<WOq3hXT1|
zAob}?R~pEW(^cA`?jPL$eH>V()9m)3#f4?U3k6eErF4XINCvUfJYRuK^Cm_9_wIhW
z-+NWUm6x#k;Po&wU!{|c#8U)R)4*Y6js^~^Bm#A)X3mh3h6e1^Azy&)_*e+;7bHC_
z*6TIOuP!5sJYw5KmDg7hklVZX-ytCYa8oSP>%`*gq|Ii2LJa2hZEM&KK{EtzYsb}d
z#m}Jtw0u_OfZ>FYEVv>a5y0t)r|dqS><tvuhhCvs4D{5KdNAGms6J=1zWi#+h0FAD
zIl(=ekx~YIM5|v`)JgDs^FJ!&bu!ui5AcBrGtxy`D5TyeVhq)cRH(ReX82ot)j&^f
zmJ4Mog4%(y8}Z#QXZKX=E3lw}m)*yF^v9DAALv10KlVN`=I+izLR7$cMg`0wUtf5e
zk!sHxu<79UL%`zi_zR6w8GxO#jcFut^AY!D{xb*%Kz&zR92J>uY5seRXHW@Ib^G!E
zb;A5V-uNz`<PJs*ckeQ&MvLI0-t{X1u3KQBicGdKNXuW}ErN#F(q6+Twu*OW);)Kn
zS1Y6I$&sx@Q5c{r*x7ju>}Y01|1f;TJpGzjtWZ-xAcb$A*ExZ~u&WT|iu)25cyz`s
z6;h$JdZl9`-%0&HDx!1wRiAs^bJ|u$=4X>LpueLdM~sSq(D;gq&&j1|LEMMI9Zw}Q
zB0=&(j4oB&#>Jzob}b}_QeL`$RNF)PxvQ+DG6I9jqOUpb>**uVezf}C6VMrGAQBea
zSi2*C-wdOCbG|M3Qg}k@vwiJJ@J#dm-#1@9o-7UC^RQNCO0vRd!j*=JDvNIorNXsv
zIr1A)i|Dn7{g>Tkm0QXV3*NNoEbElkayEP;!eg~<DL2JKCnC{!^F|w!u?qc5E40f!
z1{#AYv*V^PvGgz=FSNz&`Yr6YMtn&6+t&<aMNS76@D3zG5k<Uu03IITUwiaz44gSN
zG~O4yQ6e1EFv@2(Uwf-rvFY#R1f6#0Q(aGkuV24{{Mq|u7=5{lX2FxD?)QSkDap4T
zZay2{C|Malx;DIvCwwSOL_`FoE1#<BD73Wn^`{qGr2_)%!(01_+zKzgE8psT-8}m8
z;}iH%U}{COAOpTH><nO0@%j2FUzwTZT#9XjRslucrktg&UFY{0Nli^nZ|_4hvG?!Z
zy?fPQ?9(l`OHcoLBU0!=se^;3Cd`)tpRUOA&FFkEChHf_?TduJj3=}ezP5vbtZg4Y
z%x2WM^!y1>Qc|j_u1-o!6#msG@NI02h;V{zfViGWTcufE2D0Vb@C>g~|2>IA@}!1Q
z6Ys+)u`ZP{Pal7&o==7eFrx2J{ri6);&y%HsP@2Vu_DjRBkFBB9)p&NCW(%P{IrvR
zL1HhH+~l&-`Xhviwzf7ry9WL@s*>0JR;<zX8zQ}%-xOY&k%Fytw&CPLSnWNN=M^mU
zuk(orb!{xe;!R;N>nk=~@F)0jAKtr^TlTuW8R-<^!}{BiY0wj~v$NX{G-brc!+T)o
z^tH)+nqb6{e>v~1#up;KY<dB_2Y4N37z7MA_0pprx3!_&#m7WvWo5mgL{9G<?D?c6
zZ}M|GlR)<X+DkPXO=Dx@>p8RJ4*IS6f^TE_-wrdIr{$*!6zBPo-yFllpiJlrIz1d4
z9|z~-lR$Bp-GS}^I(GRRuxDt+!#d3HxW`g_M06eFLVvioU2;83D0@H77c<Ty(~dV*
z-sI$8MXW?9#(wL8O0x{*NSZA+#k1kcd#kWHu626h$=i=^@2Sjj5sh(u?d^p%fsvaD
z)3=5eU76(yh*?XVab-Vq5y|3cN@MA(ets_))^6<M8*Fu7^WmdH_6d{u3X`_K!q-6P
zXMuk8Jb{A0oXJN<>V7>dDIFHwUh))n63Dbi$Kh776S!3oaiGvJpiLij{$ap>_&)tY
zkcjEqs3vm}jnSdDckFCzo318|gg2rhZ7-*()$uet_?0YT>8+i(C~rhK)wL8A6^ZBW
zMpAw$-t@0};H@iX&v=_z?SZzeN;5U4{Kl+(P$JW_IRdq{;>b4%C!s&c6VB%v1?k{?
z-2o}QWZ?T}%?}GSbqz>Ubz-{=+g9JNJZ6hdOiZLdEp^IMnp;2p<ox?}9(wONbqP-M
zO^)Fqd?H?Y|3@;Ptp$lxxo>i4Xq%WUJRzxkz0-U2;7E0}hF|ARf}|HMKB3R#`v4j5
zhi^G+=lS|InE714e;oMyD?y>Ks;Y|57JH`UrqlzlV|*xBNSA*tChT#!aIQhT(1-jt
zuOpq+d9>xF+)DcEBw#QUTis_^TdFP^Yj|D-MMXF*$zAr`e_kIQyuiN&YN+^bk4J+*
zbL_S%W=RMkXV>}j%6uc5tWtKP*0j<-Y}>mzFQ`5}tHk#8iU5CoiLH5Amaevg&gEhi
zQ&;ARkJUr5H*%;CrK-OvlnRJSbqq7#noGd<w%TF62|Fw$HPz=;%A1W1dl<O7LzvmI
z?d1?nt<~|zzR;MLoRFJBC89*QFHIFiHFNZR<GZ9|;Rn#375YI6j@F+e!otFmlaoKu
zH!CUMl#jOaNQdA+US1zw>cJ}p1{x6}=I`wEot?{H+rc=8R}JhLIh#ifhAc3Hx=dT&
zkiH@^4K^l<{iXp%CiRfhExgL`P5aOURtDMBUBIM=`BVuWj%ByDCz=;mf8b>sfeA>+
zW2tiFI}0q{MNEi2U|Tc9{JI}ci)t)SKYr=@f=rr#u9TaVwe_2hm#B!4a!E)}A}PRf
z_?a0_N=E1ptp|j%l~E<n(;6SgL;LSIkjnRU$08|@rGl!es=mG|Gocn?=dycIVd3QV
zVKB^UQYw^ki=29woF73bD_my~ps%lQ-1hVAod31Gpd(g(#Q&@A%cH4m<93zaMv^yD
zhRUWSp(3;N*4|MWGZU4RF(N}D8s4-G4PF{-AwxuFwr!S-DV4S<J7kF1A!Cu@Tu<+J
zzID!7>#X(t^{sQBzgpS*+0T97zv24*?)$keE<=ai@)Ytu!76!?wYA<t-%`8`vu~l{
zq4cSndpM2rdzxt$Yq;g2qm$E(?yGSs+Sy5RbKm*-Ddf-=#t%*o4)yEMcU-5)M}gK4
zbj*(&O<lQcX;B6X9fI2Mm>94@@mQ640-~{}6pl<@QagSkInc@D7msUXpkV5oDPNWR
z2Jq>j?okX?FJ5c%%rV+A(DRV-?JS$aRq}>vZ$V}eVEnY5T;;=D+qA9gU7M+nx>xr#
z`ZH@@=JpnIAB|4}@2P#W>LRK=plI<BSx`U-42s`@$HCR1Z(8m@5Au|^oXs|5j|MS?
zVp0-WFz-V8qtkb5AO7>thinO4Jc9CdgP*#P#taNhH&Mll$>fVl!a+en8f`gmcaxFl
z)(DL<!fShB-d^`xg47MlPO`D<QnKncJ?=uh;A9b<Dm~5SF}&RrQb6R16G)O@S1$uI
zSso6Watq398GCDz!mju9*!yI3g-7%W?LKwDZu7|4rNFf!f-9GePfWZPazrKHuWeuS
zth0&2^Kp1pwDP+BqN1Xbl1C&nn1c15rZmq}F?b&_<!H|FfqPVk3BlAuGi8S@58bpG
zl9ZGbQT_6J1`s+pEbc#gq~zR|6&$?!ZnA>#T20eBiEZ0F7cP169?{bJisTm0H@q{w
zwYh4`=CgK=arG6EB9EVKk-~8dzSUQ983)%0?>2h)Org4onRlu!uGqQAft**f)6l@k
z(3HeoxUlS@R4M1c>z_8j(f{%SusC6^hheS<EHPbB`NSolt|2X*o|<}8G9&kowSsrV
zvz2uWjl|OATXvj7rW^HZrX_v(@@3mL5hQ4Nu0vIP2K?Y8v85%Mo0>|HOyX00jvE?+
z<4aY}0W^{xyu{G%Jkk;;;pM;d`QC}(crIZjeP$jI!S$YcVrucK@p7(>7sxgaI3s%h
zelx?h>(uUzL1d7-6?e3R&TEMyvvF0vmzNfe`zY@Z0z)SvX}&kd3sKv)ZEJ3BF3Jd@
z;&_HnDGt?lU&u=?z-}c>J2UfL-Lq9U4?=D^S~s)R3Gad}OGy<ht}dl8^ZHf4WBAro
zxWZN4l=SqDTsysm1xMa$qv0fn)cDs6L!!;ioXffF1Dqc}deo*?1Ogi>i9ij#f<i*&
z^V6*BJt`d|`$Vh_`FI<3DmSFCE<drbeRogv&<Pn+Jw=d53v-(dEax~-%P$}>s$%w>
zRT?Pvac&{P)4-@>q*>&ZDo+z%?PCqZ;`f^fv-3FN=}D)iIvr_n-83z37=iQBO!=rT
zkbx_m`2BZ%@jv%)RT}Mcxcu%i9y9PXn3YCcAiJO>m<_>&t7~Un>`SNC_eP9LG$S4a
z1}^8#W(}`ewW{NT3UF7RDDm_+<aI!_wCAM_P5S0ol1-qe6^7!P{#D(ge)LE3)2H;s
zG^`lM@6T59QO0~q-JjHKNMR1^Jgj)$?bB?}wQREE>|X{VMML_0#*>GepM{V~2(|%>
z3so4zllhgOmvDSlD(})LD8lO~j)qlPzJ0~Y6G`o6c1~%NDxp0-4IVRG!zY>jI&vk?
z6FsuD4j#M?)xVSnSdW53ggMqKN55UdxqL@`XY`6x=WanmPb$?$KG@-BcoSzcZBRGp
zb|<Au|68D3>63!C?i~b{;~3T?zL_j8A)y-mHZie>MiX?hR5kV#hlMmX?V!_(9<&|Y
z6jf;y4YP^UuN(C6@(w|7$M5%=qLpQ;t9!?RhCh;Q7%YCu%=l|re&h8|zpS^^F<u{r
z117jXM|%)qFJgxbBHHXv7#s5@G=EBxjDP0%x_h420Pjv18}qA|y=6~9&O7%!Tzf2p
z_`FQFhe~ytL1<P=dsK%!znFN>NPM@qRV&et1iQHY2>~61)yKL6FRpQJnpnZHRhO4A
z@NMv<i#IB)&KmQY&i*K7256p7GuG~4PqjPei&<wn&`^wZ7O|f^^Qs(_bJpeMEp;<B
zkB)EM6u8H>Ze4Ndj5ny$pD@@jBYk0vukmsj4&6;IPmeQd6iQoZy+<rx|Ecr|^~6j?
zIk{Y^A$Wc2^XGDWzE#7m^ks(Gk--g3pHABq#a+%HeGVp_Q>IN|sVou{BW!gQ#b7zN
zU}CBxlpA-*@Eec~s^s10H|rcj1P4>Cm4PdTLP75A9y+sdq3xsrUq@v85NMZE5jJG3
z{4te9O9AFMtg3Oq5~pQSQ+G<Hq{hWn$m`sy3`35OiRt7IACN|I!B?#>B0X%9yfKwY
z0G~du;^JpZFtCu{QQ#&Y<p>g~j?QqtAa~_D%6U)5WePv9RcmoN`0ze!ot_m2kmc85
z@-gj)vy`fv($zXXLYD6WnfUqzqa)hde0%O|J(-cNZrb+YiGziJbUDn)DwtTfgrkQK
z*L;2>Zh7XZqx{0>z!cW?r#Ix(2L}h$o8;lQl5d`Ha(sUF&%Jx^ll8VRcggIKF>sb)
z_V2AWx}BA};^HsyOKLHpp`kG@Vn{A4f5$?F-$Ba0{hF5eas3mLB*21HAFK^{#yta6
zanoXA@h|Wl#h7$;Gcq$rSq#idGBfhgqq<H{4vwmQ3-|B=4{$Uig-A-KBnvG?jO9}J
zS4(E=T4G?h)~z615f_z{2p_nrmJm;XtA~S_dt7c;F-%-nl?d2^>wxf9!kdsH{y)CW
z0rueXN$cwB>Xz!7+d`na>CC-N%*1;dA-o8Jt)W2^4y!vHWyUy!-$F4kXbk3;^2y&r
zjN5{V{1fA{^u5R<f?A)L5q)juw?T!;<JS(HVkYU3dc2Au-r`%N{ME{(csT#*v4_ER
zAD$l5gJy1w%i67kGB%DSjd~TAgUT(&WzAL=!!=gzat>8HMs241)|QdMeva{<y?48y
z-Ar-^+nH|U-lxe?H^gL>l|MoX-b3oDOfBE6$u@EE&@CEe$(Glw>mhX@fC>%Gl;Mvx
z9He*$8g)nT!CPe4byk579zD{ECA;2x@Zg-4t*z~Qi6vFCN$>x!CeZSNQ^alN%fq`H
z_Z%bx%Cs}jFCmjR$eb`UHML9sdxg&l6O$H*WQ&q^DIAt{8z~&Hc>TFHbQ2SwyL#u0
zfDbV#upq;){}tm>`g?9}&KEaH%Y9p4R|jB<@(Ta<nf_?UU1^_QH#@~9)CxmGxfm>U
zz#qsH(s4#gl@*#`iG_js9ig}s?bYs}n`~$hA@@!#cbGJJ#6x0MsAx<1#wEgHZ8taD
zzXm)1e)m2twuM0i;Ac^h3R{Da#8&LQRM|TwFPUTC7=L-9KQbxu!2_@atX{nuB66=^
zv$9Sf0_b7nZ`MpH1|=J0+(UFWY530-d9p2D>&242<ICeTzlZR?*mIrt(i3TP5Jg41
zq2Xm!>~((Yx@X{qkd-ZmQJq&{;Vb_0?30SG%Fn)j0KL-+`36wgF%lDPp}Gl?FG2`+
zVqyY~?2h%WR}=J)9<5J2624)V*>~KpAy%V&_|3n=@>xv`OG=v~T?&_sj7v<}sfwk%
zZp9toB~Y0Ea7>mz%z>Fyy?q2KwdZn!>R{u=`Grc;a|=Jp1;WO9YZ(u&?GG9u2OM&J
zA$yoZbI;+=*Ybb*mF>SWE3X%;aGpk8cB2B;L|M-s8Zya141#Fi?S{vw%&;mUbvS8;
z`@P_4lxU3p>PlVXVZ`Bfn`86Wl@x=tki^79`<@5VmV$zU@;X9t=d{D;dTVa44}<ns
zBFkds$}4|%ge(LW9MJq@UF*uv*X~>zeEN{w_xE~TkgGRVfmo5MwYV@Jt!o!PcPNmH
zH*A>2@IE87WLCV0f1caz+MU%~GZ6o74YM=L%N7@YQTpzvj!<<npFLa0iza-DmW2h4
zYGh*Kb&T`c===Zu0hQEHy$e`*7#uoO8M;X>NiTM@@AJ60zsLa76USRx3FhNJgFN(9
zm&EDC`!;s16Zra!qepOw+J%ise1sC?_3PK&dTZ1neyuZ7bV7#L0Wa@a?<TqhkPJ-n
zJfym04aOJrKgaiTY8jO}_p?@G|Ao&7oa<rAxj8vDhA6y<n?bj64l2$86Ag+TF5cm{
z5|fhZe_WiPW&N4Xb-*_-S#R^7|Le^Vta-y;zI+)UAKw;%rsc0#2ug-a=q(^rXohag
zc5F^<YZyof<QCda0?Qot&4W7mH6IHvCR4dYR3_^bMKn_mO~0Ccq8G3FpF@L>@`hoh
zBQ=P2!Pk!2*;ztPvXVzbc)#Dzq2}j?$B$e1)lqrH9_!kP|2c!7iu&XO!83|2woI(1
zmn*gBbx5#+{<WqPPZE|=otAxnAqx9hBUA8s{zsR_NI`E)nmMzljJ^SV12}qcT|6bk
zh6z(|O*0oGA!4$JT9#&i4gab;saW-g%Fe3=s5$bU#>I8VhsankT&%3EJE2ziYjTk3
zwZL*MhqxQRl*uPVN8tK8yoZ4Rp240igm@ZcxIK?OzZQV?`_Dl>w4t5TV=VbvN+@xs
z7$yg6+1SL>UC*!2ES+vAi1XSaZf)`Z`LKNMsRQk|v=TobADI*exkT5ttcuYe-iF0)
zM!!I5RC7nf$!f)oiUV5#1Kizn?z=<C?p>sugo4Ju3$?id?o_*ya3^wkcWP#)tm~19
zE7gR;>OQ9yg!hl~4LCA@()23>BFX&?Q8QbX3QNN5+BrF|9SD!W5h?Ni^IrcEMMM8P
zlD1|tCQ)}r6noA;e%*ysrKDlft`h~{p&V!@R6Sb6mZ2Ezm6Iz@uTXz3PzLqsg%H^?
zrGSOGJ!fhPI$YSdenJ6Mq+%zU!w+_u?{)1g!5>i1?MBUuOHuJh&TARVLiaCWJ4qyH
z9gh^a^{Q>Y+samlF5`Y!a*O*yYry=&_#Neo^P_iPussv3+X7I)>~v7?07BXhK_>(l
z#LQpQ!w~rEBE*sr&@{jYiqrn1gGq5Iz>r|c_VSc=Et}~#HnnON&(0#Q?}RS$*Z2^`
zrU$@duSilRX$9YMUXuw^#>vyEp=Ne#X27pu2EoU<{oM?RIb$yM1eKJOM7b0V)|H6j
zIf{Utl<L(d-pC~!zWpa}<!=1iG|m_!D!?YcA(PL~PKjyW@#~MYlPRAYk8#;<(GLp5
z+k*T-WRrA@X8w18YokBMdfzGah63v%=Atv~%*r1Ql89-;HYVblf5X1kT~<YTaum?g
zek#1kU3m$9lK~BBUh{$r-O`Lt?ob}?9~gK(RNh~)De&|czrHX{c&KT~E}%K@U<aCd
z$8rv(@fhC`Wv9eRs9~z&iK9N<CX;y7C*Kp&h!>Q;T~LB!%6WZjYvV%R;#-}P+HNa9
zW#7!|WZ)g92E{JneU3(6Uinlt2vRPBc2blSrEp$Q*}X3;bsOJm`o^8`g`o8kE^S$V
zkyo!-vtq4qTQ`aDDrhdc&yCf(vho{_uDVr;UKg;Ikb?6@q=U&-AseI#debDGsC>Vf
zaj~iE9Z8HS^aAdfq+MHaVb=%w;Tj=VKV%w8BAz2q$i@Dj3hef%#hj5496UeDzM$kk
z%Z#;X^lf!G{{&5`#Ua!3oD2lhiMM<+v+PVt6^+vdg{|1(&~;(<TCyZG0l=jCyta3S
z8N1MQO<>TiG<}gMcv0G2_(oH{*nfE-T7qPm?`)oXPUl<t2E{KlMc0`49WAsOki|E|
zsH2C1AL7}xw=XHm1tm&e&OQZ&{d3<dVFgEZb*Ftw*KgOpglJ&tgx7uvP1?R!;V@CQ
zhYFyeg!ZHFRqORojc->z<J3iWYJIGH(cRtsv2JqLXsn9o5KPj-Z^171iWh_uiSCKG
zI3${I^d?M9b7A~px%0bU7H}zGf!#J$R7hVxe7(>9{S&Fo5_g2phKpWlH%rmU%9cTu
zY8Slh#$UWB%d?dsHA4|!w~}n=KM~bsWNiGKClcW8G(9&dX}hTCUj`9`8ZBLIy@ak2
z-!`xQ>khP7|JlLof2^qq-PAiV^UcfG(Q&9QOiW;xnf~$PALdqNYkY)ToqPLO8M_uB
z=bx>Yo{oLn<Zd<(!MSb69-MH0wGE9w=;5ITN`CBKUvhb(CG%vLO~03a4;=WmHkuLU
z32f3hWS!|@!(i@Y<aBs2b+QLr6h1?gOku2u4QUGC%dufbm&^XPOCOF%7@H8+0urf<
z`!VC@@`b6)2B$7K%PWaksQ(Tybyd>~3JR**A@0r+-^$0E%q;Yo8ruHuWS)Ik{0`~;
zi+$mG`}=;;l4kI;=%mWaX6&fPFln|U2iAanAYdkB>Yh%N0zFJxLPC>_wNWuSmPSwy
zlQ9R_x3LR06B{y2*1g@J?D9#8*F48IXet&u>1EV8R{6Z8lJLj@!vKhR2Weq@EW|q`
zI5_S8G~`E5$&Y~x%O%^Cs^#M|3rWpSeWH!A-=H4N%bI{7;QhGj1!lL!+UJXW8#d%m
zi~bq5eKGOYR1hb}69JoLn_uiX|E(?Cg!-#da|=CJ%fVp~ck}<`R$GeF;pWYomJF9@
zSSr=Iqi71wK0|QnVHh25wIV0|#;T#uT5MAtoR+rBDIkYNqqPkfnVRZ7+TD$)jqY+O
zA~4htObiUdVq*hPXkd58<x_#%P*Y0aY5B}6^%0Wh=H{|xKYQLrt0G?`OLn8duD`<r
zW?FrRgw*T3FgKIr5aU*}$rUXxoSegv4DaFgDNJ*R|F2<_G*&(!9U&}hY;25PGLOdG
zcRZEl@#EtymagU%i_jdOdVh$A{&ST1cEj{R82^?llZ|g8<zjt?BzYq>0{qeJRWT%D
zG%3exxLtpT?bC<{4`8LqB=?$4c2q#N>^pZXvCv7Lwss$psRl^L_4QAszi_n~{O~mJ
zv^`DXOiieLd}=D8bDMB?f06(EEQ$_ni)5C~4#9+k6`ak?%|Av+8qy}4?O)q9(3$}$
zuvmVt;hFi)4%wU@We=u*#Ey@TqrRBH>}7p)1}2{WnsE2%v11`2AsALAeCf=Kt4p#Y
zRi}yd^Bx>@UB~g{Sl-2Do$@+Povz_a-Y6XYOz8vWgA!>rL#A}{I4`yo3?hu5n^boO
z2O0x<`8m%b;#0)c)vrKXP=_{Iv0{r^LXs>#JJGJE{3U`|#<>sy*?gDMnf|E8Do{e#
zI37QH_AG00X?p1>;tr*1(8Hy(L|LIUDXE4w@c7<6eITgr4f!Wc@4i^<5h%AGuidk4
z+ZX7ED{v)DP;^y?<#{8KsLQVWLgBMr_wf!A%B3<-2+)u6hvAi&EiO?B5R?Gf1KAd?
z-!K~E@!?2zGd&$7Fd%jzjbjC?lQaWzE?>TkCuvxduW%#b3_Y)W(M-sAXYe>$Wr~^4
zva|P0Yw-M7zk=g{Y}HD&t7oG3QA&Vj=P4uQi~bCjNYvho{o1_Hp~Gv*W2k*>TyJlZ
zt7#AaB<M|t;aZ;Dv&$^&#p-i5w?$N^@!HsiFjP|eGUqWx+DDHD>l7lJr#06JDY}Gi
zKTP5!Dk7b|3`10j_4lPHwj-YkTaug%jvP6{qxStOb=lHu_?_%ZX|<jhzwuY5;2MN2
zeCxYtWK4J$;m!1Xj_#~rq+$=OD{O&{Qyh?Z11{E6>R!f{3IcTQK<<EHn{1RNAs#H;
zMn(DMzG){s5DHTEdd-cEQ(s;`R8&x?>72zpFkCuzcHRB3<)7N#NN{IR)2vI2s=3w(
z$V|@o4PQ30b9As<l$4b{i2y@=L)+&BA8d#{!(b(}M$c3&;dt*$0FV~*@N=v!snFqU
zW0vp2q_^CpOIe3_^9U=g)0z2vg9pVIxerpt&e<ED2XD80Vo6s#dB&B&y2Z7LM8b=t
zq1$8J>m^CYEiHYgnoUPP<__E&ZLR_gwx=agwWAc$XF6i%`Xo%Y{=nRN6x`JOL<ncU
z+V&8l#LBlUzoSbshrtjB<?l<G?*IOR6P@r&pRcXZRT)fFFmYp)*L|+I0ocpd+<dtY
zq=RMsG^gL0th1yLV$P(!z>H98zqv->oUJXj4ru^I^-qoYK|Ppu846~QfOO9B&2BIs
zgGGHo(a#^XfB{jdt?W{OINHNmu;=cF#1R27MO5TfRg2MKM(PQeY}BL>@UUURiRQI1
zGr&kzk4||yKW_(Q))G2Pm~+l1kp*HhpL^IAif{<)pt_@oV_PG72H#_;wcj22*4*=t
z13QB*TDVQHNPY`fC{j>MiI-D`>w0V<jaS}o0HoW8xB?55wk`qvX*KZY7P)h8fM~bt
z(1`Zr;inG}6kCdvAoCp6Wz6>l7{Cv;Q^H4;_b)pWPL}((@Qfse>#F?tba9{|O3|q$
z4VLom(VjC<=Wf|G`Ic|&l3L?Tw*f(ek6gdkv1tdJ`ipRmFwM<J^z=>^c?>=?NI;D8
z!n;<4XDbcoG1J=U+{rOML#ren<1|&ifc2#ciw03r;Ayk5#XJWlO?xBEHFEFSqe8dD
z%(et?PgCz?xf~gAatK)bNOyYZ*=QT66{0dngfP?7L<&mJ$@!qtSTD$X{%*dvpi^(g
zz9;8_vU6nI+neUtSM#0jrXM7OSAiItC2t5lpe@ZjcXoPM^<w{<LwEjeZE3L(XiRuX
z%i6B2nd?bFl@6DHZ`rlTtdIrFvo|p1!zRo`e}kd%RCev=+@5BQ#hG`coD1DAfi9C0
z6W>4vXLfRso16Qt#=<3E!BgBX%coi_8+*Bs?=6jt#HAZz3AVA~(K3KT7r=gQAqBLE
z|2`<{bhZOvOsp%j-2Ub2I9BHGphW)h!s#6;Y;6F6NQ|*@d_g-zm(O*-RM{~~LJyKc
zDt%?)guG7i7=UQWSPgz27`OWd&;CoO4&Y>29)lkUE%PmlKQ)EI^d?QLtfD<#F0V&H
z{-LZ*ax>ZtA^~$_$j;{%$EI!>+jhUai4IQ*P_M4~lo2n68>Q&_V2keevVRMbmbVkU
z09BWvs}9N?8Bm5G%#v)<dEUKxm93i|vUAriKR7C-kH7(U%0l?LJycVK9D_FRGqtpg
zqS4yD`bU0;hvt7rv)0w?RJVs6d0@=z9gQV=DDVVoUqZwkhpyAPE7z=EoyL*5ucgM9
zG!EBOEO(;y0|?mUid;$K?rtwvKKLu-TRWZ26Y%p!*J$~#k>d0SG~lgTjg9Hk;S96f
zgYC*Gz{I|DKgY)Bi+&u~`W^MG4*481XQFzG;vXcNVe!_#>4R1So`<9x@Bgs~=(aYp
zFiOMiKeqg8Q4>#P!aee-p&R$~pwt?9n+lwK>U<cQD|+5`r3z8!E3W_1^8Slrmml-+
z+w3#77S~RO2o<JVGBWb=jL5W6MK6!GQeOt$v1oW3Q$&iWHUk3#iS}w^3U`a3XXWm+
z%iJ5Bf-Z%BVV^JP36>(;Rt9qa@y8#F5SO=0cd_3eu)ip@WQJ>+bH!SiY*I8bnvf&f
zdnHq%K8PGVk%h_o@x;RB=#Sr_glYA~-P&9<UN1$d>b{^h`TkJHC%kcM*IZ`%>Ys<!
zJ}K2|6{oUhHn<I&nwdRg`%Fv%Vt{~)*TGk+7#NH#{IhnmZ`!L%4qMk1z_cjhqM{Wl
z8krBxP!J=SI!F7rZhmf(?zpG4sAx7=DkH1KL_1oA9!{YVDFxNzKEz0rD3tYJ@j<Yo
z*aH1GlG#PoI?F8O&(`xf6;}a+oArK2St1Bf6Yi|6tlUyfpv@?BNa(HBPQ&cZ%N_d1
z&?TFSuI{N0Iq5r0@84weD?rhY@P_3?2^Jx>YgZo07{%@L=dkwggUPWOX4y74=}PMH
zP$4P=tcF)W<p>H(Pj<^N01N5`B1(Pxm`h~FWTv^b^#Y)3h6Q~HWw%AvsS3PTs5(8T
z33P}5k3rO~3R;iP62~=A+7Kl-wi#PJfr%L+cENR=JZf1k9YttJ<-S#61KSpUzP{#@
z%MYSRdM(W`3x6OWbE0jb;}=gWx~DkTl*Yb(eJQ&KsV4Z&SBn+@RBwoc%K@UI(rVun
zXobQAIjR5|3#{Rb>T+^S7skVg2tNQx0(QB%WmC0j@{&a<zPCcE(7IV{&h$UaU`4rl
zcz-<maGuaK=os}^^qI70u&m6?>_zMY&?ILJSdqmgB?o~<tn-~e8tSRj0~Y;f{I$!1
za3Isp&Th1$_y<bZmCJ7+5XZH$J5Ugf`u`}#ydg-XRWm!*n*L}ShX}=KG$4GZzeS=R
z#Do$DJqEsfiA*YVYRzbVZmNMA9NmSxBf+iBu}at-yRnKxGXb+PeXpFO_O=iMH{1|n
zxu$yFKfpQO^UpS-ouC%r?_W0c1}R#h+;^;6Afyhcik65DL?+VX25F0?n06iJT;pAT
zagv<f+t8#rc!syrT~8%pVnK59sd^k7OA`r=0MV{i`36+32*>gP*W-7fpmqv>bBpyd
z-+a;jynQE!Q<I{EL~^vTQuJGe7!71bEZtjypegprMGG?eCrSMb^h$uB$%#nR;oEg`
z&b8tsYiabTO;GfeQw-LzW5+DtO#difEUgwO1aiRo?jS)1NFjiwVV-+`;i9dRL;4~g
zA0OA2{U!8REhXVQ4Sr_CT=<AW@L5<2#CEN0Y>J7Xb%~l4koiOJU5zrksEGUbr?9V5
zhMOW=|3WQ@(|@Eew2IrI`x`JG9y>RgtZ`m!uX17(s@o<*J+$wM?i`F?-@;<Zz0m#Q
zMFgh{*k~}%?h(~_wEHxA_9*W@1DF`=>%VVndlVUo%CLaw-ZVWk5OJ}T%?32^?!1g@
zVjt1n$Nng?L@QfF-u^vE95WG+Hk{1jq{I`CMI=0QNl+R2P84H@6upvy;e3{L!2A?I
zxU7W40NRfW4X*wd&0OW(daB;M(PoFfxcE+;K{x&r)jNu|-VX1sQg}>#{n6NWitc@N
zXloF47gRwOea-gecRX@=cJ}>~zfjLy?!GDT02z~JCuI3W5^@MvAE#;Z6Ft63uT
y3+*_kCj1KfxzG&Tb4TYJ@sIy!Hwv#Uu5dfm>)^+tgU5n{;|N8UoN@5f_5T48dm_C6
diff --git a/public/clustering_files/figure-html/unnamed-chunk-2-1.png b/public/clustering_files/figure-html/unnamed-chunk-2-1.png
index fb9fc98939683939dc9b953f5ce9a2c8340f04e5..a3d1a4885e0b24bb3faf49e6b6fcf74abc2c9273 100644
GIT binary patch
literal 443211
zcmeEu^;cDU*Y8GD6a=Ij6cmsYP(V_pR7x7@M!Gu{l?GAiQjl(tZYgQ$&P{iB+_}&5
zKJUFh+&|&$;TbxVvG-ozHRq@1T*v>lj083&IVJ*uz<&8cR33r234grmed7xJc3*uS
z3x2z4{o;)s0zu`A`VTF1e%la%xPy2p`b^O|Zf(LiN^yRoZsu~Wa7{jfNuGspS?q=~
z;Z?;o#t0p0Eo?u$$Bj|L`09F6LH-<m_r0-`o6~QrE53gHn(%d)RtgCow>@!5=c#Vk
zf?m)~@{q&xyCkP^oZZ<fI!2y$3145O^`XI6fY-~gZE4y6{1I^xd-dUe{)jJzK>z1Y
zcjW&4tA9`8pHld@CjM=Oe_P?-R)7=umlgiy$A6W=zXAz$0{=f*kTT9Ah*pCZNW$*9
z+sPw*Joj~FAdAMP5zk`u*Kw-xRRp4rn!|3Pqd>nUSFJeHaeXwN-^udt_j(>dI)u(<
zk?BC@khYh{a&HO|v$FYA&AF~GRYcg#3i-v*O`Rz=$w;>Kp}eWTKScVL_e$#NLIrke
zPB+Zp=XiKI;458Jrb<QI&WEdnPz$=Y)Nf2wPPuJX@2?JBrW##CtZ5GBs5`9}4+-u4
z6%i8?8@nFMV>Mapb!j<K;o(Ez<Mp6e|Hj=Bqwa)>VzVK`_6Q|LniguxeY2)E2M$}?
zxtvf;A|`>uaXW@Y_Z=QV3DgH-O}g)P!sl2G=l@Vk;oX={*Ayhq3zAdNYgkBE${M7w
zs?ue>jhNPMYj0oeO=<7XP$=R=Mk)9F)XMG-Elq9yQuU{!qw4bF^mK1|SGpU|Q4(=l
z!pOp6K9oDLx7-(MiHCk7x^Al8!eimDEkq?EE|&5t+;hu^CR?MNla`#v(*0n>xYTTD
zBQ_3o0@`mUt6bpt*|cli1BqEPm9k1K&iZ79Ek+6rwX`OkLPNB*3B&D5LKbsEJ$>}&
z=H3qH&-^m!V^U1t>g=FE3`@qj@3iLCoS5#O>-`P4c^#kQ^RdZhN_aL`H!S*%Wk(c;
z1hvZ?51+&^E85za-rw)fJWlpZ<k_{#pD-D1{xZ?@v_BVPxm?Wk-CG;6o34AOl%;$=
zN)IlmE^<4v_H2Hr_F}&ynoH8Fqpgi^zh7aq3>iYqswUd_cu2$UaKg#Sf*@3ziYy}@
zhlMeq&oVRv3%OCbS#z?IReKSQj&KW<OBSbcTPqk~Zuz5aQTtslb}Z5V^b)Uy+HDO^
zdt15#=i)JZwb>5@GNc@Ojny8rYdHMDR^#}B8-6B%N%D?yV-Il5DDk#0TDFIJ3Tz~Q
zS&TWtb(NQwPyLAlcQh>a^5x4st!iqIy&k{ev{#RENRF>@IOq}*OTgJD!1=&|p4Xw{
zYE(IIGna~vT{n!I8Nfwi9E$tmP&J28o$hy0A%<f$Jdfvbg^s2l3(m%HwGCJ3+EI?P
zV+L>vL0hO5n|iDljpfYF&h{ir)Shlst`6p8!C4LEYL1m!T}sOaSc#Wgxn5a&qmU{^
z_UP^3F{@fZ!?tgJq&&={JOQ7IOE;~@wDm`m-fHk9RM8*gl{;(&(ajbTAb(ft_x^kd
zhuK;84!zdD9Hg7On{=X($I;ddR7S2w`HoY~ZajgkK!JVJZ*|M^`5p<HoH&9~Z9-!w
zzm6b3zpDN1tTd$6rn$go)vkCjd9m~MY`}<(^?70U_>Ymn-L$@CMJA;Knacv6DR;ZA
z>3U>yuzIzt!$gHcrQ^CQ^dGmys6DPAC1OjP$80d$kJpyx(p9C)pL<{bcib1aU>Z2u
zCr_S?{PQ9sBhy}GapJa}`%~j_8qwt*+ZE4`OUe6p^|RGo74Q4XFJHC>^GrGqX*z{}
z`?kiL5Kbn{&y~x2Up_;%fF7rkUOt1=<@DgbM(Od<SKfnE#+Sxy8fDhC=Le@JsW=G4
z7Hf(5NFmL|mM?qF(QJs1!%F}0`KH$tfKaM*EHMeu+4^V>m6?RF+oJ?$<`BM>boiGA
zWxqFvkscS=vB}HxazCDbyeslaF<Z63cD^l~StVC7qqpReRb@l?q;PGaGnT!2uNP{Y
zy)wwy&~U=0g-ZB*S@!blS9HWBtA0y}$67%Py;M}bZo{VvhgHYb!S%v+wy|xsT)5Cs
zfU2c^o4G|Thi`nVrQ4I)W&4Bbk|erp;o;%Mte-4S8`!)iMYQW(PL|WyE0&Vrb^WyY
z<$AJ_C5sx_<<Xs;L5X71fk|g1cI11Hv9c>H1-Z~J7w4zOhRydUl3HfuvP@aDsk*BO
zyr>AA1SqbFZGYv`>;J~c<gbA9AlXx_@tMQy2gmK5(<W5oL*>^T7z37U<rG=Z{0^bw
zXM0n4uk^XSFiT8-;QsOU$<L^&>92uo6-$i-vMh{@yt{umS5!pD`?)?<lWf+UT3T9e
zob0bIvINraw+&m&R{8nyIjns9_RV}4bpqIxYoEV<Ez-wj4*&Xf*Ki?GCXKyn>-P^4
zU*#_UnzY6Y-$o%Ny^FN%A&%`i^^d}*Bi*#m(b2uF2H~K+jv8o$4u<u|#1{ZWT=$kL
zH!92kWfl|MEJfYngrK7EIBYye(6YZXrm_Y=okB@cwP5}88p_kIt(1^Wk%ym}Z;$M5
zZGBMmd46urz|e5rwx2n#iu3K??@m)5PWvkZKmi-0#jBy7d&yKjgK<yn*vjX=z}b6F
zAY-WIHi}mNdiHSTdNN*Y*T)of@tK|MEdytr@p!4PHC@fG9*B8tCLTn};j}TnGv5wf
zum(8Ctcji6uWnU60Hm{)ebhc+vuC`2UZ-Xw+Q(aCq2a1Me(oOEFBCB+Ci+W2r!=&8
zrOx^ITs2>(KEa&{?ue-9&%WgZK{vP|bAOCD@~zes3|Eh2-5S3pBTrgpi-)uV{g60p
zr&~-!$b9<k!T!Bx7*u=E-V?ie<4z;Fr{8`eW!c3=DP5O-@P|Zt5{AD@!NkPmwgS@F
zU8t(6qH_B4=TG|UAHUg#0_GPMHf+m>6=Ve;+b{h!4cA-3?l~(87tK@&IS5YD4_rFc
z8Fxko3%c&T9WUEfIl)FlTxNXv^2M%O@bDvvR{A%pYFR&mQL*Az+uID=N9m*-CKJbt
ziM4Ngk^obPNJxOSEF1msaD)8<`6MhqYIbuuivlS&2jgbSB{#Fh1_T7aO)i3ti;Igx
z#}&xes&;+z=1p{TbV@8H7M7&8dA53~rPJ5(Lc?|_hTWYVRBP6Ho)2lctpi{TmpJq!
ziG>Ot41c~Wl3ROm0uWkl-_wLbQeolR#U7i9H~jHTrOySdUF>TG>Dg6z;r4r;pPWn7
z3LP+A8J<kb&)*tUw>n4CTt+1()>`Bnb;h9D{PbX5{RBDTG)0A{l2}viX<;XSx-`Lh
zai(^QoH}?#RMebpd|iLu%HNMs`W)`tnj8vwj<%7j1AY>xV&U<^MitXhs>N)cry8Q)
zwr}=xr$|uQ{<+I#)IoYM8F5lP8$+$WNkELJj)`3K@-N^@eihDyQXL@}seQ|xu{@C%
zPw429_fCfZjU?0hQeI}~=UW2`Q}9@hZ>K9V73&ja0nVc^&#!F0YJJ}<whuS7r*F2k
z=i}j&m)CNvGGco5@DE)mbRO1YrWU&)iK6a{YD-oA5G#tqOFBz0dXLqd(u2(@VIH2t
z&muS`aF55!?bw%T(DVGr!%GwA%AJs1i?rdd_JQYHzLJoT2w$G<qJS_Yk1Xbq$qqoQ
zSBtu}p|NqKmbTW3D;*b?UAr+b!yZTgho!$i_&rak@Se;gN4b(ubx|0lMg{=o^C``1
zH+G6eqik!ZoxQuQjhxT^t?1cY5NCp|vXO>^DYVHg3T`RHsWM*O0q3=A*U}PPS61_C
z6JCj>MfBwA5)!oxM{}4wn<P@v;BeWQ!=Q1uZjWH469;C)3VCpPkA#xI%ac_ro>Ws!
zOf)E(*hXf=EhK>$&u01^#zq(e@MRs&Cu|C0yz0tzwc1zvPwsAbJm9wU_uoxYuPp3-
zXl5cR3NQvmFa~|>rp4lE^E}S=ZGR44pi1*DQr|@D8@u+!N>(0<B{ov!<mJCW@wBJO
z7()6Q3kUGaL}5Af`1qKBL8jvYjbI3)+vP4_)7NDExj$i-I~|~r<xeca`D;p{vic6c
zIXfv=ak%vT38U-gMFuG{?L#>prN&y4^V{vq4K+nei1wZ9O{6+|*t$RDp`BeT>NXuK
zSubh8!o=LD+U?3vND~)bJ?U|;9nOC;8A}B6yBrvXz4mNJKjaBL7gy2GpFe*&tRMY_
z<_c$0YHMq&Sk0{z52dEU^W_fNd=xPIg_MUMz_jxkhnLuz3KwmX&BT#d_tG%u#b$!@
zN=Djfv6%``5H<z(n)+j$Y$8LxUpAtRYa>OM{I#M7_*aIt7DmnTJkIxr%v1vFRhsW&
zSkQPKpC4^cAMGYyY7`lD0<<qKE~>PJ92&J$NJBAD_T0-{%l~E4z=wxt#skMnM@!G@
z_hYm94V9xuw(e%r&ue&i!pE($<lN@NaEXE^{m^JN^9x<^6nN{nOm1c}$8Q~Uf)WY5
zJor7`UB6w9Q=F8hwX7M2#m0`M%O%rG$0+7%xPXAA@!ENL8CkN~_x+hqJ6mNo2uwG<
z3(#ZGS;bl62f3x|!<l<r836BV{t_67i<A_}$gU`kWDxxOe+!+;^6jcPo}ipZGnuid
zXpUO(24KDL<#9Jk=IAGvY(~V!y3Kqf0lVYSqE7?h3txCJgBty$QLeKTXMv<~)3*sd
zk63uC4jq_>f9ZRn_7Wj6aqgR<h2^wF5D50cZQIlHJq7azIqX59X4D}qQ$Z0J&6ger
zQJQKk_gk9kW|n6fd?U5|B4joX{39)2rO0dVjoq~YCTg8+3f!!{ys#zPJ_=2CIFIL!
zcYRA3*@#Qy2eNbX6NTlA6nTo$pQq!c4ra>bytNAB){crfgm_`4Y_zn@%vo-S8&Iry
zRXc5uLmQh}ZFCp^ybu!wD)BF!U0|T2joBb6id=|y95n$1G6O1s8<B7PZL&V;r$H${
zVHzE+&>O1r>k^lfVZ{w@C*|!(2_HJz3a3pi*U(_FWK$l86AEcE@sG_0K{jM5=ZpfN
zgC%g^mJnXHca5at<l^Gu<ODkC<#*3i<cpF?lYI5+l~AnBvXbHD`0b|qV?&zbJ(&)8
zcmtVAr|-dQxOD+q;^ScqGM#F#_~r0)zNvQIF9{=mY&ve;fQ?1McD9rpy0f!mYikSj
za}>Yn&cMK6+=5QRs<sD!KmRQ>&5K-m#eyd9wU8wrPk^M}^wumxg7fS`tW}7gB2)Ne
zxpInp255wuy<SPO4Cgrs8`ZDzMh+)4VPSY48-Y`}fxG+`m*juJalLEMhn82$RLlTK
zZgZem@F?7Wu%>qw=jR7S_^lv#4!`bzzFYXxT~~Kz*>@8#C*IR}eD`^WM#Vvdy5-BX
zzHqzQbm9V8OO~TY&D|k)lV{h-w%3Z~(p=AwKL4mI`_0K}y`})@V3d|}2yGH%H?PiI
z^9j{IUh(s5mkmff3}U{d^r9)v)vonSIaI%nK<LQ69n2nC>Pc?t_NR*tFK}pBh$>-}
z&ro!9JlI8YcdJrHQqr&<hMv85wllp&Mig5j3QZx)zy8a@*TBfA1Z-1FvHwL%_hJFq
z7<d8iAdQt$d@9%8l-tg`?ys<_m#pPv*sRqX#+^0Y#6zV3<tv$4T40Qt0!fUG|1qw=
zvDnupDxH)EE!im15jAn|-@k_rL>U%9Z4{(Hi3F2Be#HagpGCW-%HHGmV+tp?PhPp9
ze(9<OvusE(_<7o1X|gF!$Gsi=n^j*yQSut4ofLP<b_dl~5%s0XYJ)w2*6K^FRA!Es
zfo?bj;+PoSK%KSY+h4gf3M9?^TuElJIX)O`1b77y2`Dl-9L@NKQa;&nYM8BWcM^1z
z)ID2n^78|lm5t_15ep=qZ+k#Dg?YiXDg7#vQPBM`{A4SY!_EZU#(Xx;_9|AX)+P}i
zjTgQLP0$0Z<RNe8>7BCEV?RH*_{${;VaP^?Kq;weXq*Anv1?PYSJ&=;262zQD0<jH
zOY6B??W}Kmi$=)3{{1y<@<+oy-M0~lY4x=@yDpR^oW`@M=O~a3*DSqQZW`9OougiQ
zGI?0z1Olu>tK{s{-LcYC`3(J#<^D>i&EEFfi&e+7@0l9qwkbm&!reDai;*Gx8`~{3
zwacw<y<RJh9kb~x5I5Hi0jUcDm%|CA_&`nqCa?=mb$8kaR|x)k()LQ73P|wK323GE
zNcJi2FY)mn14=5IZtKNhFcXBmJZ)@j9336O2PB2Brm=@aV0^Rrq9PpRH$3tDBmd~U
zBp3W#h@T8=`((MT%r7fKtL_)<Zwh}x$rx@Z@a@vIoshrIpo?wp|H$EVe1K4PC6WN8
zLpPgU)J4wkxQ2z~*;Ie*c`>n$#d&Eba`yIhhbq1U*eVe0L1bK@8v7vmfcv!hLq+;*
z^ER|siWO^(PC-ELwOg^9B!^lReU=yl{<Y^U6%+Ubi%tHejib^%dY9>1Pnx?lF4Kh1
zAAmyKv&zz%C>bpFSy|f~(jItaBb5bmoRr@&+ldY^?$RGhwRFnU?O<&rLoxGBkr5TY
z<M;v99H_)%lRl%iZx2YuseE$%P7)`Ys?+aLyWijNx({I14X1e>oBV7B*UK3a4+fdI
zBY^n`cI}#HKG#v+II^l}Xpw~K#0mES6VvEK0t$Ihs@3b_Ou>t&G@eFtOw>r+d=$Ss
zBv@OR;P@I|7#sMo#q=e+=Z}Q%?36a9KiIC+MX4Vs<X{?MPbZoHG=%o_3FsuanRH1_
zXgvjD2F6X_K5`h1Moe8^9HJCzx7Wq)+S-~Qn1H46@?A;xYWs=L&Knh)RuA}0o(XU>
z0XRgmX<kg+{8l3{JmK+_jyBC*R1{!q!;$fP&&|n<OI)<P!_RM)s>XBotjy03jzSE@
zh`ALjnQj~9##?^BBPT<_7344#SQ}Pxa||v@fab_8Ux?{#?+gqG07QJG-y8&bfXAd)
z^t$9jG;=HY3en}&uX=62ovoC!CrJmGoA9KOr<zFqU|QPAOJ3U9UV=711107rrL-o1
zKDd(wVz+9TG8O&m>42g7aD~sTL9Njxy`0F2boZF7QKECyIwe9NyuBp(;%iWrwQ{`#
z!WRpQY=yM0JkR|suo}SK5-6<%fQ9<!46I0MJAKMA`j~Z+Rqm$r2k`xW%4Y<!*OcuA
z>lzsuwSZH0Tss;_EkGvLc1%py&fQ(M=VNAGMX4z`^u_MP%X7CRJ;(lZO6EavT{%%v
zWo2bJyUxXCT-j0A7nUCv&b+Gsy9>a3zO^(;?|Q*T-x==)VJa%g)Sh{XR#!SQb#YJ%
zB~;{Iel*e4v%9p8{7TZ8a@dsprU<gRFqG;~@i9(tStzqX3Pn}!tnnj<NSf=hX=yP7
z^p+}ZRuu|T9?A%8f5@{YLfsr%y_2M+-in}{WqT>jUmm5L1G$>~wDetL>mu$)HXwFK
z)xFN%dI}t=!39G>g@>RFWa+qV`*ghz35)7OgZ=|_RBGizbEXsN3#Aw(;Iad5A@;GE
z<KJf(;gbR3AC60F51M%1Zj6^p$8w*ac@-)$d0M+u4zRdl`voa>P?VWfuoqAF@vc;)
zM^g}N`r9U+PaUuL&MucGyC3hQV7;DG_G8OI?tD$wY={pzpQJ$sw{CZEbpsYYahr~Y
z-0q$R+{~ldK;K(r_;{?iej*eSd{oHA#_SY4JRq3brKG@D4ZWc3KiwkZgy?{ZgcJ<q
zMiYtlc&=t;-oan(RNHeBB4T13KwOaGk`XNaenCM&5E4;4PrqyM#T8C6xmEciNW_Re
zP~QuWh)G$k+}7|TCQ(h-$dx)R)_57PU(O(aYENs+(%W;@7uiCQRw2J<`@xFHK@I`o
z&%(k2%DtD?p09&jrAw082h4%Q7(14ZHbm%Ti8;4ymRW;vf5w+)(q%FJbRdYwiz>X(
zY2swO(q^D8U9-~h^5Wdd=@Tkf1rBNRo1G~YD>`?aIOz&H+Sp8zmvOh3B_wW|n)I*y
z)ZEP41FSGv?Y6mt6%A=OXma?Dsvy>ZRflra4+9yr3-p>ISk*yBZ<%?vHYU(}uS<gt
z8v<{$GY_pbn~fuv=gOi@&@dScQbtnu8#~E0F}WOhDVo;@Gwl~-zFGwPrj4gw!$Q0s
zHk4j=qN3$Ne;(BC=as`PwsqC$(_a;m+?`!oP3Da+2W|wp=M*Xg@wvC?$;76o(}cs2
zQpWAWy^yb?Ry3EVWk(})kjiS<w%%um|F!=c?5q-~x7y3|O&1pzNDV;~n2-Kip4@4g
zgAhj+yk=+2V@Px`D6Q)*PB*o|PGo0iqoH3%Q9*7X@^_aZjq{ELSi&G`!3t2C+MD0d
zroAL>Y_^NKh4>+rdSbU=U|{gbq<5}z>f90%xwZ~28uzXGAHLKTUY*XHxjChOMtZjV
zZT1@qTpI>yK#hW;v%5H6+=OV_>+*DJ%5^md)L?|AX@9!h;l>2N{nFL|?Q1B=?PiL_
z&RD0ldJyn(PmE7f3%HP9E((N%PryHx?^<eMh>A9f;0iu+KiWDe*83Bh{IZ%V0Xbea
zHwgg&r+k<?$Drjn-z0brA&--@(!qxvot+jCY@DC$8|F9WU!B!Lu9r@2Ox1chDhs$s
z+aImTcmoz<FE(ylAjhX#7T$xtU)}9<S%t)q%s8s*4s8iLt#;<JXIL2IV+#VLBX71_
zSDfd9ou|W(8g}J47}$hSemCp7*fTi|`<~+!60pQ7`CwmABt%QSR=Ha7R4~MEXFloB
z+ZpB$P}(u^@$s)xaD>mcAR_}`xuBg;4(SPGB=MYvZ4icm)W+dk`VJtu0jI8Q{U@RF
zjyXs&9}Ha2%kx7g%4`^yKrgy4{qO~iDnz?7FuXnk_5TtpX>V)^(#U;~Dv2HkBVXyI
zN4a<4P7A~M05y%^>J}&hMQ24Z1u+(YAh4ysA8+<cvi(&R*%tIXaZ#`{tOudLXQL|e
z4ImuvOO>u%g9sKCez2A4fNKDQGmxdy-O0MjHQx<_8$KiEq3&-mBAlF@pwpb@!X!#e
z2bdu4SRL9VsXc1?)4Iw(aeL7rVBxeWm6gNv6-aT$mn|GEl)Fv)%(Re>CLQlCc1Lq9
z9>pTRi6B4wB$eF*`%Nbl@WozK^d;Y*We}7pbY6mO+k?tV-ixg2(KnD@K}=-a6*mF`
z1|5fYdP*?v@>woo%nZgUyV1r8$0ngitz?Gg)ra#(okenh-e8;d1n+xpPiQ(ZviTQz
zQV=XOh6LtFG@hKj9pqs$Y8l5U#jV+S2D!<%_Mq6VV2LTeP+@;~bDguJZ3x3h(7SH|
z>&!rmk^#pty+pj-QEa$ry^^OlTUB;2YKHq{?lZfP(sJ69l+F1x*+e0oI`994g)qWd
z1x+Tf+X1n}V;0Y{^}EVos@qvh=jP{?x*%Wn7kBt4n~(=Zy1!uvgz9p-UV3T$GOji@
z*Qt#inS9)nrIH5$@ft`ehIo5<h*sJsi4gdvtzYi@(s&+0e7ZUm&@K}of&(Wf6-9ts
zh2O3s;d31u1fB}mMVQo~+yc}R9*0p!6f}O^#NCbcqP`4jPeIRZQNSynM2e|Z@;A|V
zctG8opPCx-B#ev}fK<n!V!X^;0a#$J*A3|CL}mry35eP7*w{*NRPb(Vg(5)IfC^ng
zr)%uHg$CeDM1Vt{*v^HRJu@~EMOGBpTAbO5K#Z*Eu|IIRbH6WA@x*m`7x~z<|1C`3
z0KSB3{i|Or<djaHNO!+uPqCV+fh6ceVKZI6ASeg>AXvDT7!Q)7or^g8_?4d2i-Q~(
zyEP!US9}Ys2FlV7Wt?ufS?E>mdH%8}>*N1SzdwtV)f-JBeSBZp%1=2*t$L@883SmF
z+SL@KY3l(nBcR>Mcu0>fPa<dM<s<qIe?WDw<L)1jRP4k~of&~!&sl8=l?|1Y^+S${
zmv=;!ml>?|n*h8Xbve}(t?Q?P3WLbJW^bpEop({?t<l)~alo1y0CBq5rhE$I8V)MD
zPE~Th9R8DYJ2|cC=gY5SB^LZJ^pU={J(1kb+l`*r2vp=3#cMMg#i5U~elVHnP7tg#
z8_Ko3dA+W*1wvtAo7u(?R!Ep_oWG`PvaTow9$+-NP$8>FIP@oD{0SJ8GZjq$^I%}h
zCiwIFcO9VT<7?YKNd2+e88hzY`{(+Sa<|qf1o_1mj8_?rjhhNEB%aAt@i14z2m=`^
ze9_)*0W85YVc!RF2&7P+X=1e-HeEe7Iyq70_lQ}vw(Buy>{t3Tz=HtCqUNQbO99&w
zA*^;-?w#+IWEY(KEK)Ov6$FWNvDK94?+-WOI!Dr8#d$hwxND3bd)YKSu-UdLuv7rq
z)OxyEI|V}xV0o|O)=PE35mfXC={Mv^iVz0Kr@V4odN<t1@~#XTm#wS4y}e_2T@SA~
zOUzN(e6s5JSD%dAa!RD<$&0h?k4wEwI99}x%1vCGjqhdY_?a)pozezWh89~kKZ%LP
zdGzNptl5a(a$^Sq+J?Kk@I{iXwXJQG>!02}hVX=z*6h%#zTH?{l#qnPtCe73aS^2{
z!QfR_Hsvf@Y40rUH6X`BY+9?gA-n{8Ujh~v6%#^4ppvbMhX?5bDolk=h~c(STQI5J
zA<~B;LQT;x9wQ4p!zx8`+g>yoGKf!}kZ#$ww$ONi*_<y;vm)hWs+n>~YuF?w_Hw^V
zn>6sw#ymDXimE80Ig6lA7AB$}ZW1&HktqO^<UM3Y3|C6Ua<4<oDG`pjtuvMWt-3EY
zGh9z+iudG%6#DLsaeT2wInthQ0wgYw3)|5nt6?`AW#63B+7sRE_D~sC<Xj=!x06;f
z7$b3jZ-PtlIBuuDj!RtyO9l-wjh{W`_KWWI7l>)}KVd85H)7E`IYNeNJB}EFmjiJH
z$a;cV`%WG%P#p#^o{y3HV<p0`MHM?j_-jbac$)GLO9W2Wid3{*4401rh?wbR;>rLp
zpg5?k>(JK6N-r@jviHoM!g%xk{rf2-iH1f-u=KEkLLK8o4^#>apW@|$e=&4J$IZ8+
zqhox098B!Foyf@Hp<3yK5<+ot@n$e#ihPBS*b_*pWP>JaWRv;8@vjSasga*wZ>f?^
znn$y#UnKsXt{_O81ojc8@goitD0dnHg)7$h^SE+iCixf-Pg`g=i1LXoSY!$Az_G4S
z%>bpv!R=kU*;EE3xX-TcZgy$y@WN!<kE+GFTVVB%wi<A|0p4NW<k`fa5V4JHk!Unz
z*ifu3DPQR)JyL_2d9u^yBsvC8)y#HO0q;p1DYlt}uFWmyCl^Q0zqR}EU$S?t{yJY~
zX$_o2*V~DELZWHk<A+Cg5m<E1`%*gPax&gkwV#oBsy~N%VzfDspciJ{%cBmfPA^~8
zmiHDJccT!kqJ_3p&)$pzkHbMu6f{k{=l8YjrGBPQH56FHEJt6^%wb)GfL<y+j=(2(
z_`xeNSeM{93Rv0+bOzf5S;#ot@b!&*T*h7Qu>1iGfl7DatihYcTmQa^(#M9SF!B`_
zo%&iT^momWV>bEd=xYwvT`hO>GY<`^sE0q&)6+rCfGDSi8BIt#>B8JxoXbMAahy$a
z?S63rjJ<%%LHU4P=%on^3~Uc)j+9AL$x#CaNQZbFr6xgOT<$E+Q80L~Kjs5{2$6U-
z?_D;blAs)R89zV92M=0vZl_TZ2d_3)NOPPe!;#X?!ieS!>e84+Yvj23tpa35LHD!t
zR+3(%CF`y`|C$;k(sBA_pd{J|zNY5WeI)pxFYDhFWT5xSg$k^jzq~ED%vBeTp-D~?
z0~Q-AsXUHau>+%#>=&=hH`?<t9vNb+5BU;aPsy`!cP+}EN1!=Ng{WQVPHLk(H_8{8
zl(U^jP12fFDppo^eIbDppvAF}Ke#9-N;<yaaC!C;2-|IcWgik%A@0nh0=X~+A<RG!
zJG8SWc8=9N!+;I!DiV>2Ef78k!Esn5?x8)Ehis6A7ALc4jEa0H*zagj__Dm+8Nvk!
zZ+0Q3xSSH~`SHfyoQ%ek63@_!BSq0tMzpcSf$%cr<yU&KMibwr8m0E((R@dH3xWoQ
z2q{S9K-wox{U|Ftf{7=Uko!?d7-*v))J&|*2KJ0lQLU54J5;&g*(mO+CejSy`qzdA
zQf>AsvC-Mu>1kdp+?R|PhXF9G&a`y}Z1{@Bp2)o>)K6_$GKozDc?2RHRQq9j?Vpz^
z@_?M+KiC-={rq4+2~-)W)rc}vkO~3B!|XQ+QUs{3i}!z8E(y`h^Lju#p=Oi0x;-fl
zkA|Jnqytr&;zb}q9}HZ~o$~Y_E;epXrbDJO=)pHe{bZv*0m@mt#43?e%Re91PM|p*
zVnNO%kU=*<>;&&Gc(&ExHcJM#-CeRjOJx&OEyY8fI^2^Mq>9z~US@w#Q;*wI2<v}+
zmA%+$-_KSnW=aZ*P-aSVf0RzeMJy3}vVBNFcUpw|&2*tz)=e}EJ?YS6d#_KH#-U#h
zs`m&}+hu&>uHnRU&mn1sIP2#CT3XICAAyv?HFML^(Ix#fO)2}OPA0LgaGy<xZNpRO
z6Al%VH(I{R80cr{_er1`(2Jn)?BVR;E~SuASbU9*rGUxK#=$)^ZgJ6XE>0cbQitFQ
zE=MZ6z0*UAai=efK9&$JQ<=QKBlhg+)uu^)^2g0Fjp70KCmQk1q>?yd8ZEO`U(<2t
z)82R?;p(((xZHlFlErNj7bCJH%Jyq4Px<cYJubV^m@;1%qXY&<Mn=BMCw!I39HrUa
z3iIF4ymNDtGG-!IR#plN3q@(eDk}I0;);0I?eeQ{ZruNonkufl36mPIR(VMuoKow&
zcsuOnlmjU^c&!O!69i1Gth~U=&ih3F{A(fKF&P}Bm(HXc!ZU91mrcZ;+p;;S;2Poz
zIy$6UYf@Xgr||>}XbM~Ru(Lcxot=-o(a>QfWGet;O`0|=UzH^wNljfHBJQY&g$1L4
zBzt>%a&mH*#lhlOXGcd|eEekvtwCer$E$T09I&D$2qD?@^fVcNfs0To_QwGHqi|kl
ziu!`v{`H1**7~Ja{RuzL>&s2}o!9R{4GNv_DX>LSz&l>eC5uI$F&$uiOzSNvi}&RQ
z5!*0J9G^qm(2!G80MTU*#{C=b@BH)Yh-9?V$x1^*LrSV+xHD@08V|+aM|yVF{L~if
z*7o*s!d^lO?z5$F!O>xO`_*qN%ZU&|u|s6%Ut-rnOhjzBWbmn}g+L++pFEw2ii#p6
zBy615%MX7)*=%GG`M%SL>j|~AwDeH+8}z3v#IQI6+|-`pm3Xc9)996_GBRC>wux7t
z-M+eAT4uK>^YkgA=!tq)XD6yDz%&|perq*IO-)5?FdzxMuEkcRa0*DFX{9O~eT$47
z8W^xC*MQL`+&<U^<a_WS1BRT1g&@LqUJ*_vqIGI*7w*wE&Uv@b^YQU9Rq4KaY7NL!
zR>pfAd$Z^)rD}1qNJcsb@jW|xypoxV>#M(~=JD-~5~|<@S7&1;aen<SY5|Xv{+5=O
z&d%Uv&PR_}*x9Gt(a4%eb>0`P>TDOD4blo{M}KIV`jLdw+S+Q`##>3f;5xy!xcI?J
zWqO_FHX-37$2C>%N|l2m6+KMv0#z0x=BSVm8BI+p>AvFP;>^s<>({S?bZBa7N=Zq9
z;7CSBMu2*ANap34#S6q5jZad#-C|c~qVOdwAZ}7MV5HUQCchbf@;!$txwg)?Xv^r(
z!OkpgI_)-u8?a0%$j=`uraO0scV8m#>bn_dIscbqTQlZCb{|v8ciOC1@VbQ2yw?Nk
z6zWGChC%*;@p?%s`aiXB$4^*FNogMfKUhO}sj500{$eEjPlzLTte{En5o~AqJm9Qf
z+yyu&DlCkNjfD$<M4%;ztRWj?v#q!HOZTGitB-*x@6F~_zQ0CrV>Mtf)kH5Rl#%%Y
z6$`H}13)AQdAQyq-1Yd8F<5k1C;j55wZr-ok)Lo2^yl5Q=W0LG-@pIy!w1+TO3%!!
zC`Sc}(h3T@11<PaCXG|8umr-aoc-3ys+6ax|Hs3>&%+S4jdwUWdWMF0?%iu_Z)fJ`
z=VxG$fb~8V6`rhL3ytVi17=ox_3DiHb&ZXUU0orm%PpZaQ)M>ENlEXQ=dF3Esi{F^
zY;AArs+pRZ!5nhv?1Mhq>s9;+rkwiB#5>6xhO?p{V_T2hFJPC8f`URRe0udpgJ*iS
zh$#I8Q+=y%l<@O<>ODs?>a;7~;o<L#AKtxt7cm)o-AVmX@vI!CZTp?@dPNMR#`cW4
zd5t%Ws@l<Y;8USwx^2HV)-NCOCu;{iBjzn3=5l<O%F&Q)ycfvfz_=#$Sz+*VY%IUE
z4$Y=WUgL*)ME~I6j<W!cZ{Od)e|vl7RaM{W=zP!2R8v$`R8@r`levk>led5Gd`!Hz
zT}p?R?}d+z9SjRJz>FK<Rb*eh`23=NUZ?l=t-`0Vgm`3rolPVppA|mkML1G7DKtM-
zxL5nVsHjNV-uf)Qi^yd)O@GdqF{|l>V1ljDP`~{O%MQA<ezy`K5fRjE>m?fPe_`Z~
zC;N}r@D0kqTIInS4hTs|@!W-`hKGk68bq|UY1qy5$7{W`Yx*mG{=E12@je)P*s-JJ
zHdh@g3MS>CWno!+!FX2f)^+;lt$7Us@#&nf-_7XZ0DnwOjO(w<W>+2HV!%XZcJ|0t
zgXZSugoFe*!;+E`F!q794L!vV-QSQTYks1;%S(v~B@2dNGL4g)`}$TKu0P?cfK*03
zJH%53g(46SU~qA;vDZhll9P+TqoQ)w6+wc3Dh#IKW-y0ZUtg!`uCMH?b3J~1I%Dqc
zP98}o2J#ZFp*A1@69H-;G6`@1R%Ult-#)GD59w6jr(LUjM}S+WR{(P!nZCVu=olcZ
zuh%`rLYKN@DyH`15#Z31CoW(&y1Kd$gTSpOeW@)O!TL3IvB+uDYyN~`(Y*V&gFEvJ
z3td6Sx=vY3O11-MLeaI9&yErO^(ycBSxCJqdxr&kx90g8&jhV0B4iT17W31mPcV(E
z?uN~&n{`tZEt|+#?Z3n0BTc&XUc3k>4*|D>AeWi#-Q7y(?WEU?aT`5Fq_-O;h$j#H
z+TO>!N=!VvZ8rDqE<5|?09rm6m9nxjxXyqiNFsf)DU3`^M)ZST+)HA7rJ_<=Q&Ur2
zU7eX3(4>b=$@`jxxE9{?`}gnp`F}@8N9*g~9lPDTxYV(lsMz1E!I*XW&e%3Eu;2QX
zAtNJ$TfFSzK}67}NUBe`jqmZSS3*x)U;OcnrjBFb3*{sE)aGhEd^BHVxo+C_!u8!a
zCvVh`94bySDF==|0t^+sAS}Bljq|i=x8M*dU_R<~YI5_x@O8nOl$;zJ6Ju^}K0Yzw
zi%SDxs=bnulDfLOkpiJ~9|kV<Ei5dBh1pJ<qqE1^(LrH8e}~`4eJP2GB89f+D(ada
z1UUZq@#D3#!q1|-`<p@Ulm?O2`p#RF2>VBbEY!xLhIjAbadUG|PEHC|xMI}J$#KM_
z!u!K#x$n%if;E5{`G1@Od_FM|5i9IfK6vmT@8_{OX`y78dPt@JFr^<w!FNVeU}6zp
zoOKTdQ&UrbD<UO_%(ktS$NI_x-VO|ZM?c*ppogH7o|RQP(052;_ObS@B45#fsxJ}H
z(Ed%cHpu4ll3EPZ#UJI3=Ie^+>CLXv6}WhoW`CmOZpIZipx=3=uBfCm|BPHgL4i8-
zP~iT3dS4;(0Dgbo^BeqmcZ6`wxgn^VqK3J^NRcs&5VM;a-j!~xV|E-i(F#{>`0nui
zBzc9Lodw{2^yrbZK!UHY1Ztr5#zU2yO?>**Jw4kymOj3|EpRi4EY&Jpc8xSN;wrJ(
z%)P}UJspUo4jYk*TUno#KbTPK6d}I92|BMoTHt#shlYkmPfsr>^P+F>BNhoGCM!N=
z*-aY?0Sujs8$pyGJOv09@1)#j!F=>NGLpw-#~>hS*xXT9S65E12WqBN?yTM@oK^_e
zs3L0PhjZP8r~x6}<HyB6e>P4|)*Lnr4h?z1B2px~HfRY}c6N4VX8lQ1&{?2!%Em)j
zdSSKXk#ygqiQe8T-YrPrv7SeonwqR(FCg;!tyi$Jx@u--w!6DKHahyNxY*08S8O&<
z#L@eF_h(uf#`Wu&OfzSn62^oXaOx*hoEI4nv>F5wL#|y5?)<}o=A9uzr1)SiA2EHt
z95s`1WQ+d*@#oT);s1e3p+s#ZrIhUKj_g0z>&z3s;QB#!1FJ8JO(~(%rXxLXjo-ht
z<h7@$e7^(}DO~bL>1J$=-rn9Y;ev&V)6I7|9Ogl<=|pYOesZQ~Wwjd={?1%DstO@j
z6V!0UL{vvUVH&@<Z}siPJ;0~#?rs&O-|z9Dh6A4K30<MPO+lfqtb72GoOYEn2R;45
zNm17;BLEP{Jl(`(!r+F$1aEiM>{kRiap+1MB@5wnjz~I5J@hb4l;E@)FlJQ|zqAKq
zaiiW(t5&()0-vI*7vQ1!PbXdwb4Ii9@{-n_2Gk@Evs7^rN!EzCySoo%#(iawEh#Rp
zc0aaNgV&E+h}cd?JG*#cubPw;LlYB|7cXu^`qTways{!cXpqgSPuh}{lGM?e2IGq$
zrJ&dxDPmw_V-pgpDJ=Zbr1wTu)!EIhR!>3Ez~G*D=mH~ScSd8qZ_#$Mr@*Us?QWz7
zXyh+ulHc4S4xAS@4guYzudg4v)<`Ipk(Gt@@wc7sYlY^}tcSWUjIAumB0NG#!V#}E
zHRHd2Z5WRY3Bl2lk!HSUiS9jX+EmR+&hex}u&<{FwbQO%Vy<f%#tGsb)@n80yvaxo
zX-b|k!ZzVgDzdp77ZQX@{b6MlOTjig<7#SBQt#;KtG-_^?p*<HFyM@SaWBB%pM!^o
z2DZMmw6tK80-8!oD<LN*$HxafTJG}F8!Uhej7We*#%BaU9gH+=tz%cEi^@Nfa6YSy
zrMi@7w7V1TAX+tdJqqzuF=7^>8cVqCf&jm;l_rFe)c^cyyu|bu-8nn9L!jiek^E12
z6Foh>A&!o<;gTUx9k!cNV&-hr0#+`t;t$dI{5nWdZTIaau)3S$<zH3UI+!sKIKEu&
zQHx;hsfme+2?>8~T+Q|94cmIX(ZUbp@##}D7(mY<A6Ur0D=a+Kiy+~4T%e1Y@mKn~
z)huKX@l6B5Rv2Z$vO5sK<HwHy@Zf@RaB%XpFxJ=Bs&wk#*VWa@c1<t(lCIxMz$}!+
zive>32;u4JIpuX(UBE3<J!J8K&u+iX)%<273{+kqf>6MBnOad%@#DucSp}PTCWIw7
z;!Ym&J`c<;KsWk}(!P88RPGzFRg9WMaHpT&jcBQow+5w4BtA*`>ki`~67KF*FYf6%
zMk^4`FT*Rt`A`HNL;zM#6!y|mSI^4MHrLlzP*!eEdf1`0jeW}dP*N$qnV63+wwy5~
zIeB7qlpGunA>q}!-d<bCHlbV77z0KmEMXz`^JiGUHJnJ&MqH1YKD!=td?g1T!N|m<
zcSWb8`7kZ|MpRNLEu!eZy8zSNZ^`A}AU-Smb>Lrn+{z~KEDW*WdNj{<m9oBQEyk+m
z8083eoW3AiLRH}K3Ytgu|GJcy7!~qQQigt<x&zD&u{R8~!xHn0i^E-1>6ILY45h$X
z%+Jq*tw6ti>rY#op5qrHLc&{=yw-KzXa+pPQ-P>TgEcus8M9g=hIi7mr4LECv)oM;
z<}-T|2`%~;wUqw-&*Pj+)o1&csfWGLBNKo>sp|7{aeR}+{px)%#>Nh}t*HN7aaXrr
z0pIBrsA_A&bopY3IPAsG)YQT8@mo(B33ra&9f&%}Qjcy0O3c*TfnT%7_C}kwEr*#=
z^kXyP#BO7zU+Su=4~sNGYe`8-!J`LJWkjn+I@wsxZGRp#_@9;$;RYm4dY)PwD~?*-
zCB&o=aIQ1jKTE+!5X9_^eem=1gHWaO@8A4Y%+)Eq!R$A{=!;$P?MykXOzUrdGMe@?
z)<Oal$M1v#qRUmhmbATDNBbdgHXtwy3kxBtuI~8N-Xu8tTyprtdwGRf{5NttDsMj*
z7Shpz9OT@edq|h5-o2Yw4N7vLI1e!nGyk*W-5pgKU=3GSKEPQIg1urw%HO(N%a|F^
zd6-w<Ltnu{)ZpOYm4|&`#sadyNuhSsK79D#?TuLIp`@ZBz{k%He%LNq|AZBLdNX)e
z7V(s6eRvm^^Z`Qf6DG+MLc*$<b~Qpo9UmZG7&`0IgjA#RtcI|~G|#_qw?RX2cls1?
zcjdNxV0D&L+}m4L5Ed3jKmimK6s$1u9$SK~=+UNWx$@A20_^1C=H?V~H<HA(sa;y9
zBQZtZ#MZVDXdo?Z5uPgQ>+OZFEH5u#SX2aJ_$BF@mFN|nO96JfJk+UR2K+9q1(Qeo
zQT9wXJ$TdVZqd~XH)~@%V=+B`f)1K@b=FlixV}U73yR@w)@RfQTIhjI5H)OSpT78C
zbh?xWGGW)M(kW2g*w~PggrvaJQ%Fn>1Qq}Vq1eE{0NTSLmCt5=x@NZ!9S;|70Y^AE
zI506Wf$oQ&g5!jjCN50XP9V-Y+?+}b3)^0fwls#O)q*9s$jGDz={4X5G?>Ce9OUx<
zkb8d=N-aa4a6w*R0@EESI_W-Gf`db1Wo3nn2bRc7za{K`WGyS(y|-sCl*k_T!rs9F
z<N<sznxeAu73=lluK4=-y4EXU(SO?8>Chem?af-<3wzN8umQTXs!9MDXK9JoX+r}Y
z-6u1X>0{+Lgh2as?@5Out#=~<KXc#8-4IbIwi{+1ha&;pWx;H3(OV`RCQmLPJN!~`
zNZw}3amf6^@?(H}cXDsQUpAi~KLE#o_jX|31Zfs1r6E1u7<904LkYU=*F?p|GqbYt
zR12;kzBY_ZTo15iMX!537J`U+_pF790vj8fh9(gtY3>=?=~Uxf$PnY7w;DlpsbGoZ
zzB4Mj#G9Ys+@iU`fc2}Gj<bl4yTtL8L>E^A=VW{UHpBMX2p5!6OzPLKU(q`DR^sk$
znts0a30G89d<@`dVqyaO)-A$Mc~MIwz71im1|5kXpTnv$Zg5agRdx01>MH0@XblCJ
zeeUc)q32|06E4KiU&!A>9CYg&8)MwzCfW5M+G~5;IFI(!nGc~#q1!?mWP1g)RDrW_
zf}y_T9h|&nfkxvyR~qEhe8~7`bg|MdZWq&X65N0Moe>@lI1Hhgl9({~uNAnFWc5gz
z;oiN!kJhKB>-rl$w;BM;N(F|6$(fom#daF~e!eg5k&q^H6#-QarvtHVNI<|!1!AP5
zV-3bPkj<^xd`nGTfGstBJ-q}0m*0!K(V1&76pj{fDJ&^D*z_QN_Y|S?dI~M|8FAS~
zwmzvh;2FTyxA5>*3`S;VSRiehn$p&Nc`GLM31vtY>SY$nMjUwUyXN5OcbtwL7aU(H
z8x&J}#qRCx!G_A*+}s~^c?AV_&5FjgfJr+d;o2dtvp%N!3mwGP!NJ8kiJr3WT!emE
z(z)iN;JCsrT@R2lVD2f!X6nYayj-?D1*#T&IJ%;WDaz-0DFYm;3$bXbt|7o^T(gGh
zIhbkPgR;G6i?q~i7`q-Ee{U5z&Va#$2iVr9YA^FPmUQw*)^e}Cik?sjW_8}ZeLd#)
z0Oq6MC`v+1gwDDF_@CpC9gwvEH**%Tauy+<Hh2y{!nN~tN{DV<QdLvK^iE1&Suy=i
zr<eBk4wk6FG*q{7cf$O(vyhO`#l^+>$%7k_9O{FN0ZEJjH+_^86|Z7o#Ky*+9v^d{
z<pY}^9UXOaNMT@L;9oywr?c|C6aaEKKHKfi6KfxoT2Z||JkWH5@Mc}o*0RQ};-=T?
z`P#(ivk#ChN~9MzEt`JW>Ponu%3%r#Vj)0o;^5+jb`mu$I0ls#6@eO_f~RvY`Mbsb
zM;~3?W`~ekT}34=HI=^m8Qi*o;o<b$+>NCr#=N^f($dmWQk1lYKL7TGSZnvgy(`}S
z{;jYqcJ<1;0Q}~Px;8ND;0_@TfxST0O2?c$s}|0esgu_c0ZAZQA>E+KAaV<%8Kxj8
zHVxZzVd-nSRSC=X%YA7kG28<m^U$4{Ua&tm&pm>{J$QH6eTgnCv<+?0<{&dLH;;>n
zA&*GCgO2Z=s{C`SUa#QAiYE$eHorhB1kX~Aj;iq!fRU|Nej7RShTF3$u(0h_K+*<7
zAI(`1yEew=Jc*8>;3WU2HF*eUQM*#5+U)}ak7;RVJLn+H@f|4Qd2}=7@!!5aebcx5
z^AOwU6*yN&81G5S$P#F?`&?3=Sz~NUtyhUw-g3*Ek+}j%LaJ;c*k5WqJT#p{y=&^j
znydxRgdtOD4ZnX!uxYlL+XQx_OEXViZC?9eXKnpjX?=XO*+AL7lO$CBvl6Du7XvO$
z^BCV~Emf~8t?bilYml+-!Suc?k&nB>yZXVW5uY)ScH+P*755$*m=<yeo}Rgj<{)&k
zvG3zxUQ2?*YiewChsDj3l7LnGo<|c7Hu%zg5Do!`LsdehTbP=@l9VLC{J6cn4Qd^R
zm)|h1`PY))1OqobHU>MmXOJ&jt+n_&RpiuG5>FJI+XV&A?s$ujlFonlEb8uZ(~;h<
zqp?p4p$d<cLT&-|30DV?(SZd94D|KIIKKS+p8y^1MrasGueF_>J~zY7kH4XI5hyZa
zqf$~Dh=?EtCRkh~p`@%@rp)!clCn{oVH`0%hyI$dX>s@3m3Nh_A=&TzWhAU(2~XeK
zOdFj7ZnCnlL{WNs9jTP7Q2vQ~LR;OP!Ay_s|M8=kn%XE-&V#?P3%c_^yZnn9uVi1K
zM)nYB;@-G%#CrHOF3x>-p))Ax7Q$D=nt?h{d?si6_4=2v<w~7jFCM!7n%ZO)5dQ~q
zBH+Q^qLLEF-?u5>pwCC1#!+>0v`_>d+|BSdDjIn=vwqhf#CWpjw91SPliIz%gM$~a
z9qu_qZ)9b)2{SR{2t^Nfa&6XiV)S;FW?y0SI>=_V&pGR=KJSHiI%xc+POV_fsb7+g
zT13~k_%<*bNeUBzq;ya_78dIeUWUCeFhRH}G%-ZaeL^0FB_`t5H8+dP%7$tyc|4JS
zrd(8ItKoGW0j_j)wCh90xW!hdZR5iCGIGLe6e70@mT$b}&}D+o19E{hPCU%u6T>aS
za5hPJiV`B~1&M_mdKT$zLRST5T293D7P<4Sr<P<jW!_tRpHR=hf||~oRBQQe0-+oq
z6H{h(wiNwWG75@rcn<X943@=?gM))XIl<N;h=PR$kIiRv7x#d%Lif%Or;H5@L?t9-
zN3RPrl&K{tz2Ca^lf>Z`=@^&3C_}0$$F3D70-{&c!ZnQ9zcU83Aj8hJ{#W>T1wa%H
z3dYXP&S-#3x(~PsG!{sio!7yr2^9jiYL$V4p4aGXs0>$^>8I#d-l{J+IunR#vbH7v
z77<~T8o0X(A-W3@8wO4HGfjdn0n19*OMoEeGO5MJ-oC%5r<ExOJE(4z&h20_KthA9
ze_#Mq4D5PH#-s{I1s6{+gpX(2Y@-KFy$96{byZuT6)8o}4;$s@r-x|PBM*C@>2n2S
z7VzItNwzkkV%h5%3=t{aR=B}S*#-LXat?zYC6%Y3>*#4|pUV>XDm#LnK6mD=x=ttb
zQBfS?lZE+t&A^SNBu3NWhj}nsy_l?Oq{LZ-6PzlsP}eD&JH}$6!E#f$p}xgPwD=p+
zq{_<EJmp^|=H^%VhWhr5l6-o}=TvmM2Q1e?o<Zn~faC!2HtW#kdTJn<xLp75k65_W
z0!Pbl(ycj)B&m9TJ+InFzb79={y0<O>7U+S{5qr}3w6q!DgCUga&M>_$}~3MSy6Do
zIOC07Jgy<;UuUN+5L;VYI%+Vb=<n~R<%$)-=V;B*SCt|2tn%@FkdAl78y}<F_Tir^
z=u+06=n+(P4d0ppX!bX!YQcPph%|I{S;Etf)vK|C{r&EcsY%U+%7LMeiaKh*6^8$P
z1P?qg4Kfpi#(xq7@V>QKS17mL!Vts4Ut(fLlO;l7^Q;JV;b!Cl=Hy;URQ~w!1C9cc
z`%H>c0p-641nfVM^4X^+CnJHwh>Y0(cZPT8A|JfVmoNC>)19|;Qd1y`t*B7@2NA`D
zq(nqS?%e+Ss1v!3db9%;*c%sbHe0<br#{(!&G=NG3*qeS{Lmp^S$2i^{L85hahLEj
zc$`s{Wg}j5OSXQ-8XnVXl+rAIm2V)`^2LrUSQ2m8o*J>xoe1H+>g(5kL(`mJ78m0Y
z2i0ZxLe1I_AyhZ}1K+)S2XY*er<My<-YevppL+mNBe4E3HT|?8T@6@b`8ELK!AsbC
zfCQvE_a98U#D+VGc-W4$A}Defp_7Xt%rGt+Aq_gJx0e%!I*f!cpyB7^yNIY3#T*$O
zwS)~SuqtFtSB%;tDMMS3yT=gCKr=-@)V-qc{ud9NH)4Jtwj7V}i5w95`gj3Za${FD
zv4>;z&TslPQMsT;mucz}jT*+^cP5o5OE8-5&_}#AG4T%#b#idn-{0@-?yiLaTuj5!
zHk<gZ_n0Kz+7P|3a}JM;<fs-TwFo-9xIla*^ynpJLhc>xol>6HV^<*$ruTjXPlbb&
zNu()`UD4bB37c<-7`1|ntDFHp^71yPr(dh6z!Ocv5X-`j$T`RxvrwHDS{BlGT%iTW
z0zWwsua%z165>B_#JKyAGHt2_L9nKEWi#}1SXjNe6vl0G@=@5@gWUwD&c_qO!)36^
z)z<ckOB2$z$%E<qu-`4XPGQQZCGbp$Gb+o<NXf~S6&0bpfo>JS+raRtuI}mf)Ya`o
z-Twylq0`p9@W3kSVNGZe4NXl3*@P-sqyYwfYi0&%VS(0%res2cl-vFV%am&OZs6c(
z<?Fl)43yj?ef)m|fJB{4J%~-q%gP?MI>N*o(AbbOIxWq3=;P$`A28eaa$FP<F$kfN
z0p}YRm-6pg@&gDP3K%*-sr`awK5ftAlpjB4`pN?cPSYRI@e;qk9vvDQ8WE9%=XIUl
zAUq;sn~{j*H(sKzy3NrJey+I4Xb7<M>FMd>+#EQe6F$c*fhnb|t31f>KYnnyJ1_cC
z_vAq`5AF4?Ar+lRFIA<*)HUF_mq*8bJyMbI=I1xJbg{shbSDZ6!;|v0OJS&~!mNsB
zjr$YW+w<c6q{>YFS<UZA;335)2=~_3*G~^O^HNjazHGNj1qtqX<_wp~773Bj_~c~Q
zhg2AZ08l~F1@mZX0cRZpgP-}NsxXZZ7r*{iiYjw@Zrg<yAJapcQY)~hD{2jh<aOQ1
z!=>eA={R0I@0b`hXeFiKzmvbzi5rguSVn#I4?nBmAUZoc<>ch>@bCb1VS~9BU>-8=
zT>O@KT0RPPrg|eg*!{%6eY@_Sz*<0bnT(`lWh|n>)B4e7)P|*LQx`KY<rVJOYRd^e
z`jB*(Ip^fWfBsCG5W>Hmo-N_{AXl(KLKu0Bl|Nz*z89W2gkb|b{-2(aVKUq3uUEj!
z%)hC{DKp*@fAw!&A;*!;;}Vv-%Dx#6#E9Xa2O@9r7n~bZDGtBLy$Lnc&v(Tix43KG
z9Jn(GBNht_3$xXb+EY;FscC7r1>#%u&ZEy%&_`ED-+sDA_xkm_z2_#Lo)=p)4Y0(3
zSXx?wrS>1M|19o;ae~yaGU6%S1)%}PuyAZb!X&_cWeKcp)&KrYTa><JePd8&<H<#P
zV7kR`cmpabs!KPgm;bBsYwyv~iQL17_yC*qp|{D)7cZcoxwyGEIBwp@_eZ=Y6zj8h
zbE~YVIDrfeo)A@h^Jb*CHz_BFH8g@FeBe#B=|nq6U|uD$&Lwk4EKfJ!(Zh%Nzkcn>
zJeNp@Qhk37E6Q8h&5a*{Q`yb+P;5C`*W)G@*4I`8NeTTZk8ZXE&i_NycgJ(xw{L&!
zO-V>bQK;;lomnBIki9Y@du5YRMv}^^tRf8~$}SNqq^QUqNvW&~Aw9>p`@Vlquj{Yt
z>f$@zpYwg5$2tSW+kWyGnV1YBiU(Y5_vFIHSsD_7dhRb<WzHR&x6@H|g2YO%<8~{t
zK7jVnY5=!F1<O_z;fZtOeQm6JWZMyyXJ@BHNp4z97nwKX7XQ4*fk5X=cs_G@X{7&^
zm%@Eh02`~Na-ARF)~FmG!p_A-$SVu7)HDHIRV4-`6Gj=TC?PlV5Q24&2$Mu8r@sFV
z*JoYkPFHD30X$$CAd|bmy<h4dp8~}U=eBLNb#+pFc^W7S7?$Cxd9%8uKY;4hRo5#!
zN(fO_Z-r}MP|+vt78KOc)`q+0QFXN?MnTG$dp$+>dOW8gqcQu`tVPqzeys1k&65a~
zy?bY%*u`H1bI4!G<+kh~vTa!MMoY7>5MyOaLHM~>ZL>SRSw=@F6PXH>5l4vfQ~Vc3
zTHdR#qH{+%l981??cu@5!ZPhU-#c@|a;etiTjZ9C+UNM-UcU78_P%)d7SJOC^w)0I
zLnldpP*L(B+MDZ2Jk&srQD6{yKW^j>03uW>dw$q`enf_Ii6Sb7{@dfk!3Cq^$5jxC
zF&dupe@)xpBO3V<&{q`P1_UG3tB=+b&yST@(C62l()xgpKpYY^R;60}WO*eeANu>B
zJ5(g6q=a63kGzfBw}mD7nCY+j6ds6e@Ws;=9{$H{$Z}5qY-Cgd>5ne1E!0ANK^RYF
zMxQ)cuhKtL`Bvj~Rm{Cz#3fsQ=C683jxgs18z>S%+cQ7s-FtLGQ?u~#;~SJs|L{r<
zlM{Po=)M;1TbbQby;FpV01Fy1Nr%J?;0b_W@M+)^gT|=V%G35NwCUGx+<0YQXdHXC
z+DC!1<y%Dv>#KV$(K#zKT;ceJAv0YFR{qpchX)@WINqxV`@l)_A6qU7*?-{7{Gu@w
zANr!7hcaR-cW2${(u1PUDnh|&LNB`5hVUOiFVEWB4F@mCx7%m(nDWJIB~Ce31lYG<
z;vnV>NWW&a?i-#{fYK5&GXCg;{roh=!Q_KT?R@dVo}Cqgn?a_8J$xH*0buglD=zM`
zm&}-L>Z1(w)!M78tC;2u_4K~_Kw#8`Z)ESDJvezV>D}4m*sCnUNp^fUaqxM|C-q%h
zkIe$&fMW-b3LJbt0zM~4yeJX2AI+KnL)llbF!fdVHbE4MJuSJi<)ZC{O8f7mCRtrw
zT}LNgUvT?(N(SvR$2*5JCsX+5c8H30J$-s$<kjUvj+d+f#3Nj66n*217bRsib^tIB
z9iq$Vc=+G}zfxPoRva@1_!j;k*8wsEm0#uGe+qCeolVv`sY1A(I%U%k?DPEM&d6mI
zlDg&JKkG`nckO!aBn8G_aHk<UiK9nZ2@Z}7-gGt`5R^~?AR7@L9$q9I?uBj`1BzOl
z-G!j`p9W?$UWNC0&eAA73E};ymKyOQD<^09_AzlUc_^3e-)mrv>kA86dM`Wf!TI_Y
zeWONan?iW&alI!0EAKRRvA%o%9^lZ@{tKkBb|VB=3$znQ#xrswl21B@EX_88nK#F%
zX<@N3Q-blD^hJqKruFvqK@S<%e9jo(0{VO6;9&k8N(0%q^qbS7&oMSg(${kcNNq8c
zjvF5zPZtV`t%UQ=>gZ9a*K9(gEx%k=K5?uE)2NL^-(j^FZ2Gp#>=VD;VO{zOcDk5?
z@<}O+U7Yfs_rijdfTw_a41$}byu2Joc3zH1_HDkPJxm@gLjTnzube(ZU=YTG3{)b?
zeZF<29jG~KaJ~S2{}}q=>&(nbSj54D&v9)O8{~ZY`qdI`r?GMV&6`fAPLWzE3}4{9
zIM~@|+#P;7CHu#+(tK%EV2znxZ-Z49zORw`pwy11znSJ|hN_|Lv09`2vBa-x=nX|1
zup>fx?e^{gTRzQu=t^?=3T{&C43tZMk+b{Gc8y6>LxbF}n-E#E`RI6(_+8Em4shK>
z6jbJ(J(7q_2@EtfGs{S&V`3V993JZLFC%SkU~u}?wf*o}qzl>Y3K5WP+PIEW208O_
zjJxv_+Skhs-qK@^hAL|kSC-0E?*BVNn<Cj&b92+vp>LX)oNRHfB-^!nHytH8hCg}v
z>e7Yc_4W0kAuE)`!~(n!lytc7&{8C|E^gbzp0qoc8vf;^loU}Bcl~k4Yx|Dbv^BYM
z{Zo{Hz8nc(w&vlv{&$9AS;LquwH-p}q=N~5k>&we6n8wIEzYIcMx%IiT~{(2!TF59
zC=E3z#uzau2=Mz+GV}B8lNs)%uvuy7Oy0fgn$`rA6sPCq%bBuB5fXy?c}qrzti1da
zh>0fI&JBVR->i7&Ui&A8mEW5&dy=5CE0SeR(?6;`hb{0WmYvs*$dqO*HNEYnVXW<U
z?AT>+y{To&73QSOqxg90?E>7v45Ot@122O8xPMk{N<aH7?3{&U1g&TL*_Ls%=>#qg
zwa}$|MSDFXn59*M2OXR3WFF=f@EY8=t5ol`tNd{K=;{&j3&Sn7Lj8VB`G+nZ9RK=t
zZE4V}vaZ+>cnPFPfQIcWKcG@#lphr_YxwIHMR!C+3-1iTTc&(L>72IOpP#(|%#U9#
zcV-O~X^zjzoM0wO;vP(Qn*e&m|0gRWgDV4Qdgg!~CMZ1em^gp<CHuxiv-`_Ryk=z3
zDY(bpZCeFoGO2Z<HNt#g-`*GYj^$flDeE9NDLx(-aO;F|;;14KduwMg<DR%p)#GPB
zaGn~xU(LtTK3iB)dm6&y^XJba3-2m*_^d<Zr3=N|ykXt*@iA5|NP@CzeLXDS=r+jc
zn>T;LHc)EQSXWbH9;Y{$rJh7{Abjx0<;%H|8y`?j-@jinGhBIc{u{B@=NlOK*#FBV
zE&h@_cR>GPSnu?*{a;zz^vw1Ef0}aS26xomyZcO@Tkn82k`0nrz_X>5%J@;82e)s}
zA>meFc0m4+N9Tb(1PIe9ab_1uCoqCsF;sw-9<BzpHh-3W&cerZ`G=sl&^AV7<e%@g
zS2m6c=w9f2^(q2X_VzW&mvj+FFhe;@mTDJPP=$nqzymHO{h+at<i3Ny<r3dMHhKsG
zveaxt5`9YPUqy=3Jv5Mjl<?iV<2CWw|LR~zJPY4rMB@R%=4~+GV~$JNc~gq*n7R&l
zVmCbb)_N{`K>R%Z{b_sJL74#I$Ds_$Q^?M$^j;AQq<#ZjuKM9a9OaBB#zT+8>mm7g
zMfo&Gao-WQJN8qQj1|odjS3Nbqh*wJ9{U|0JJ~LO?VOw*;!`W7j$)^)@dyr!dbzp;
zkr+Cwt5>ebK8z_4Mw^O%@hdp%%S+U(_wVJDmARY7RNvp~=RBaf6_^z|5f!<6P_3e?
zxO;bOQTKYn_NBA!q<T5fQUj$HnvFinHx3mmaA}FqtKE-}HmzpxG4HQuliWXMMn|Uq
zMSy+Ej(MME!)-Pn1#aTx!^8wK;rnD!)SJV2Djcl3ZL)Q8*a+42dChzyTFk@zKGUOi
zeQ7}xWMkEocU`k17ACaa-1Zps;xK_V8;w{K%{ZGnZTGwXf)jB|wm)Lq(~1;u0f6BA
ze0^8n^=`26L#((T4Hd8K)&J9ToqM8j_;8}R2;@8fTGWUv{kD%SBxvjHx2vzjRaI^F
zUcr?GPPr(q)j^V~>6E*Ypk3x$b?a0qNy!hje$!|~z&T}V#V}f14@0ge`Rn^OT%l=c
zX*gk^9>F8x10<>0z9#+&7zz0*3MdCoMb#sx!><i|nEmt#e$YEe3zJlndLu4-vO%87
zufe`3>4Ak+Wc*yrPS(jl<yUdzDaOOEtc072UC2<$_@a*O-FjZ@CL<?q^ac4lWo4-;
zDc2PP?p(h<jOenSo}LGX2gzUr!SmM$<K>gxmUAcxRIYA9@BgO-AdfbQT(6-Y67yRU
zp?5FNt70$aeMCb=b-KSi+O61a6&NuQC_0NS<_u#~kEB8%%Tq}rujsvGK|=#~RDA)J
zw7!087j@7UJ1;LZ*bZq2-wqAkyLGE|%6BTi44|}XZui^IAhBlaCSzL0&$Uj-?RmWq
z&2Q1p(=;~h^)oYYKoF|e@9qeeYr);^BX&<^*Dj~ui&KkB-@bWNn1AzRXt(*D>BhC3
ztGPk{(3LO#gZ&Fm{eZa>`37bb;(L*mz|O%DBx`YiNrI?7$up%le0t$W=-AJOpl8$h
z+T?^r{_A(F$C-r7T9)+sD{oFe&*dB6&xe`$iAAn3CT0l<qaB-`TV{6uoj;`?ILGaL
zC#l6f?@p|qp*Fl8j7&`7zuf-HrxBzN`G1{LF~A{U6kth)hLxNJdwP4(M4_NkGjsO`
zIN`e2){cWbJf{m-+^2<L{xl4=FVLD-R2V<jsn`9P1YqU~9<Ao)X2_2*zGLRZPk`b|
zEMp&EdR7)mBLhO_j2@JBun6N;s{>d85qTt4VgWoyk{FF3n}kIO(5{L~BjP0eMI$d=
zz1pVrBt~`i+Pu`815Ipr41ZpCy)rf_4fXAWG0)(z#wG91ax>cAfq^&RxeE_hiNY^u
zB?L%~m>BE%T~bn)PFzH!RmYSsr~$mT)#W*on{u>9I=bi!^z6i({uf|(p^=J5)HG1Z
zEiJeIxMgc*W@c@DznIP|v~~L0Y_#L@rd%4rnjwhHXg>bU8KI^QZ-&(Nud7U!CMJFh
z6Rn>=yB5Xlk+uUVj%o*e4z=B>Q`zb1TduqlJt&Z2j)L^_*RQOni!>RBZ=n&ilKb>)
zFVD;1@LjLsc8ZGLcNh5a*s1sKfazVzIo_7<D;M}=-@WcnF3t+hJ`Xip73(Q+aj`;U
zb1DKvAnI>o$LW;?=J!Xw1U@P<y{AOBjfqI<qF0qKVcc#=9wo&Anp#BsCcDEYv1@0N
zLpH1C45l$Xctoc*)HeS5g6NvHT68HN)sG5L?y3-*f!0^{IADBGMEw92)7Sxe!P;Mp
zlcz1uS^CsO{#7-R(_ctfQA_?eE8$}${WGDa(d!=;rfkp)Ft*dV3>Oy8c4C3DvT|M9
zH7$PQ!-we!L}T5%CnA^g{qtu|4h|tU`l*hV(78V|`M8`q1uI8zR0C&+_FOr9ea-QO
ztNHc={mHMLD77DfzU=GkqoJf+cT4@_j?Sko`OERZ$=%M^7uR~XiY)UwMH{YH$ZjIG
zvT4(32YmfCKTk_b>+0$09C7dNU1|BbhwC~2X~dzW+q?JhE>;z2?D{JlF<~s0BELm9
zmAC7L%HSw`E1l84Y}(*a2~LOm!BNrdoj;9sZGt;u8z(2R>AV*4Qzj%{^W)ElL|!SK
zhg>LZwfcqU&(lTKSm~Qw<}})?>7Yvd9FcuB{Uhl6z`NJ4o9v$sv#(|gv+bxf_lIl?
ztTxnCZl_L#goXlN3-hBWysngVMQY$=zu#5@7v#v~(>RTMOs=ov>k=nuDr5-4`CSrs
zx>iML$@Ex&5X>YN%3%|!A6oKC=<OLI&Oe>q5xZ+**inJ^^}_jK!}z?-`0!zV@M`?^
z9`Ue&R{7G0G4NAo=WEB59}5fT`MuTdFvHZ<E269HG-l0KWs?>$I$<l)i+c%Rrk#uA
z#Po(j9lLvkhPOzJqkSoj7){)9*No^^2gq-q4GwO%Znm~oqbDFBefsq2ORH~T6bw31
zzkHvkaN?(sx7fQU%cj?<JSgI7pqY5;r>LrmsXF98!jAtOmY9`PaPx2b`tFvL>{n12
zJE;t^2nh7dmoG08-pKH5-@fn4VR(2lKPHrxmUhZqH4^UZ=s;_%cjyopdXwYFA3`#)
zv~<;lVO{i@!vX>t#jhOBNNruxzMd|)CEhMtoc+6IaBvNvF2KXN%bz2yoSg-UNUzq$
zjgfvXT3n4FXM_IeBePEhAV0x+K6cxomr<Kh{vtE*6`_sCoPuemM@FT2GlOn(4-rE>
zbfNv7>la)*xF;c+YfE-%=0#Nl64L4H$(ss4j%<j(?owmmiQGPix{t<NoSzz;;JGP9
zb>=t0#y~_-JHNWNhsE`Tr6mO|WBcG1yQ0A#7kgQZ-w{wt^ZKym8`Xf@$Cqb(WF=&q
zzAbO&v8d$>J9E2{RPh(e3G_dazz{np7H`qa{~44B`%P~m-rQciIg1Vz1C-Npjd1#n
ziUV(_&%UK4%WL=aLcvWeD0uLhdUKV{(op1uF>}{D<83Y&rCi?{p<HsRZt4vh^CZ_`
zmHfaXzIS24jmT6C*h>J>#*Bs-y`L8TgAYG@npKyVliaN*r9R*;bM(6#t`?U83d_hQ
z;j>58VWR062ZL@PuhgrpEY*&qOhX1*KC%S*(V*p>!23_CMmAV|e=9(Z_JEy}lNLh0
z%t2A3b6GY<W~~!{R>U}ybe8l(KBV?7^xYhrT+7uZxBK5cgj>HI9UmHW3h$sGm%a8M
zKYao#1UrkOl2Q;4hVp%zXhEX``*wG~i?0G8qd~8SoRW&lAEcgRK3aT=SsC3wh+I;X
zWLYV<3$k`@mX^L6F0%ZY1gv$C!~PE)+W5)8nnZHZ7tEjRRF0=xDg0&g3Svzwf-!VK
zY-Xw;C@HysPZ{_iS{-ONF^Q2PKfwh4ZC?9F-eo|Mv-sl&09Rms8ofV@&d`3or0%tD
z*U1}ya&!_jA8tzws)TSN3HSrbK6QeU<S~2sl3zezKR0t!=Cun<hAM1yMy3ovw*kBs
zX~VS8*?I5g&5xesMWMn9A16$R|2i57TFMwO3>ZksTu-$Yge&|O^GH^t?v)YKo#^Nw
z%5k6a7Sl5`m)^a*-8r@QYt#38zvFhkuUXn7=y3p6X%CNkaDE{&q9%N8>0GknT&kq+
zCOGy^q|W=(S~h{=S{b7N@yaV?W^8QF`_YHKjm30+hrX(&rR88LxYas1FQ8A%p;#Es
z;mN6crAi&e;vAs!<fBLO{2T7DKz6mb9rcU}bMW=CX-g`-AYiEOdHQr5qX#tl0MWRa
z+wtDp+g(tNI|qm1;Xn}erp=odWD2kEk1Y_kw9JA2D=6p2oHhIE%B*PE@CE7Ah1N45
zir~>JZ5MqpI{PuL98Q7N)exE=H{OW1nRBct?2y{RVj>Z0UR}CQKQ^_bT0rxk2H-!J
z)j2gF1&7e?=Hy6s+=Ut;OKK~=7i&E~h+K<?0f7q%C3H-M1P2q~n!Be#=o}Yex7<Gd
zYje4rhNiRztB?4JFsQom0qoWb*?QD$*Z%$6njTcBxY%=Uv{d}!2Z4z8X{y&HvSdUr
zXG%D6Vj&oJ&2gsd`<~U`;mAKu4!i(GXrxgie;%A08tBEVu*AYsfn>jBKoE;shNMSe
zfnzf*WoMt~!Gq__MQ%)th_1HI`!(zOmH%OdNB1dZ6WS{rHFCSF9B_f8NS=zT$w=m#
z&8s*;Kh`9w|AQzqJAb>ZG`eUUrIpf=6L#_aIC<04V?$3|`oEo$DOICLX!#8(f^gzq
zQPE+r$eNmG<M+1JK@3)VlJm#@wmOH4R2I)@^)z)P31|{rfX{x}?3R7u+&Q8g_K43M
znzma2LKgXf_MTr{1kyc>VF7;;r10$SfKPtlYvy5V4RJAbO6E~oLPozO`M6}Bqjb8J
z=eCF%3ZgN6FC<$2$e1zXx6El>nUFRAEFi~0IEU<MpmjboURimr`|Ir_=hB3UQ>(?f
z5$O7T0|Kb>&|o6y3as5eWh*^BccfL|F~x~2Ei3DL`<7e6P92dY@Fo|pgb*1_)=YVN
z_w;t2@$&JJBy1B@bypQ}Og`Ki<}z717(vFH+9%Ms>*<bv`osTSQ)ls@1D(TznV!L-
z?%=?`g(bc3r$)xd1l+Isi!JC$CH6<c-~d;@D0|ZMn#0_KS0%T8Kd#A5u8wR1S9tx}
zH6Tq9znsBc5&g>*>lrOE_a#{up^P6^B9;>E-tjHXY+>eBkbs_RRr=nIn|aHt(nNW6
z_1y4o_N1V1{ZO|4lC5x-TBkmcm6XiNO{cA4^BcH5pGwFxwtiAubM8qDH1NsEuy+!f
zJvTbq_VWIY=UbxODJ^Znp9YvHS22LTskGI6Nh-Urj4sqfe|zGGdR#jZyRUw0Pra*T
zmQZ!Ld>?IJF7Ei>YimI&zY$=8VIJZfp~&;gMfMN2SDkrY_AE|_HkmMRM0*PW;AqKD
zXxKenT{*uepWT;V$ehM$YoleSpuxKNQooNJ&@?QjXk6xJg_RA8u=}NX&Mxhz6)4p0
z?RWktgeVNa6M#gZW4NVI3V_#uBDP&PbAeAym7gCDD7yjXZ|1RSXPXLkq)q5BKC+1|
zr^0v%^|i_c{BMJ(*qFJ!+T}+NsYiy($erzqvFTQE=2>0H>x`?xa9QC^8OB{cNB#J>
zb|CmR=rDp(L>|ZBv8}JKU)L4v4bV_^s+yS6^{H+08p+vx<uIAB-x_z`GpZ;#Hy1r^
z9`XxOMGJ^>d>&M}+4|pnG>p6BBgz-Rbrdd0S#Yg5zT|xF^Z@<B{Ji(4>XUqYe279E
zT^UyY?=<!IFy0#-9UTF_AnQ;99$5@dn1WIhuq4A5;x}{~poR|a0ttEb>Q#MgG^odM
zu@YVQwRq!}cpFQb%a3x|O(3}cijqm7au5dh!<k)Akr7+BQXT*F_vh!nGA^|Um_pV!
z>{j+a%@2LC)ZqKAk(nfN_#8fl7=_<qk5e|2rY62Bxn{N?RAv|6YBB3N84Olmmy}57
zeWmi?tsbcQi`Z_#s#dw`6g6?*;I&a)1#==L>6<}{5vKj?-$r0pu9SK<+X_9Sf`^ui
z<4QY}P5U(8(k=*79cLndYGR_S=WTVUc#l^M#m2L?HqR%q-!l~J`#qMhaYE9qXBVk^
zgp!`Zz-NNzwlEoCxXo6yH9m`0ujP%A)72)(>=BM|bmiR(<r0fB12<p&3@!dIb(uPr
zmZ8|nfENPJ7NJiirKO*IYw<85teR87dxx}+>Wz-62<X|+;O`mxVf&Xo`xLmolPVUw
z2nkS70JQfsRDrnyhjBJ01~qEsxF|7j^7g%iv;xYGcPX2y4_H${dQ;V)#v|{LW@(xQ
zJ;`L(ceC?aBvT$lzvR$i#R&yF9_yCWCWk{P5jeqW|CRSVCLD4P%e%=+!id{$8i9K(
z1~=WfAh7fH=@^(m<KkMUb0c3llhohEh!d($e7;ft??mySz>rdOKfXvWO#wt5ik9N4
z$caT9I|-%wDbVQXQD-J6e~dO7{I4$k<yTR$-o=WsIkiM@XWGHcpii(41X;%dgv<Jv
zfO7<_59f37qXr4|d;7w23mZp-trUG|*-m+RGhwzRv79$&;Sxe{Z3`QtNx2ujHu=ZP
z2Tq)*Eu+->dlHTB(yw1o5`Ot+z2eIJDY%f2C8euo397~X1C)k_hJt!dX801&Z?U~Q
z9iV(x+rEAKxmP;4MZLYfQ%^4bySs7=NougVii*udMhE`($*Wgn9yS{-1k1=#MB$A6
zkSe!}osc%<B<BfuD`(%ZkN4)-5e=7&q}@`9I}x;hbdSki{Uh4iC!qp|z#^4T4F)v)
z9FQx4zP{NI4yPIGMwg*yCJPR-(EX|Rs+{lBnnR{agPI1cF18&*538zbtUOOzTQ=Ty
ziO|q7r6ZsS_+_r2o|}u7IwD$qhu4e$K%BrsP0MWV-?=jo(16(jp=%l%8oa7u=GXz#
z&zM+n@BV!#0VaS_C!SOUT?UgrB709lm54zC>i$x#@!=AB9h>vy#GKgNK@WDw;?=j|
z@s5xs-pe)sJ7@$EjQr%pm^jr$%9RQ7x5p*#>RsDc&A5-b-~=OI?l?NiGS&Spt*vn#
zQ#v=RZ_ST8e5hR3KG`0*H6wRovDY&f_nEW0dQ^k9wRJddOXQwzPP+AZYB7?L4x<Yh
zfzkjiDf-hoE^}piv8xvkF34=j$bAVzf5`fZPnJG_pKZJnJvt{TJll5)2si>|IdI?r
zEYyGNy>fSKq&7;YCfy17yE6SsqO*x{jrqYGz3`5t?3!Z!S<CtpSr%E&&L^|<J~$Lz
z9axm@kntNe@-Z8_$aBE1-)Xd(%sKkR++1psKu46b+n>dTzn`_2RS^<KV>2Q>{X@As
zL4C(2T1xV99|86x5UIk6=uDmEw4jLDozVe&+}e6hmaf1JR)RzKO_lcVmmH3cIeT_c
zzGK%V=(*9~5#c-mqjAM7L6$>e`M5g#>Fs!`9r^kBVI;5q!LQ;@tNgt_)_#gF&n-3~
zVcCZ3S8>SBjn=mFFr>eBl>z+EH}|wX)Xs_UabGKe=ev3&<nG$;&RLsCjuoY^oJOf}
zF7Xq+e`>tP$u~FQrAE(J1E@N2{5Vxqmor9E0<Al`@@cQ9)@Hh+AIW77*+T>2<ODpB
zv8gt}Cdz}ITl9_a)1Eym6T62t6+GHTPC;4!G&Z$-8H$y++JAbaV5YM9x!t)r|3+Q6
zqUF;zHd%un#8*g5^IS3EW-dn5G+3AcAF{b4?<Jf6z9Lh%v$Ja_WeVfKrFBe&^DGQ-
zt|%55MBhEp@52j8E+A@BzCZ>QT|!Hif{z2}8gr4W|2*CLm7i&%yPO9<d@#7KC<|uH
zPv*v=cAjN%)Zp&^U`FE8g<1ch0ZQWL(J$d%`PTEd-;vzrb$9N(9NjkBb+($~{cL-x
z%Y0kv$`?ld)##1`rrX4ZVvaI_Km`#Lz+Ig2FkO8ICvF~p|DW!b3+?supD&glGfk}>
zJ&+%hk&&Uk1H8w7G6A4eYG|-Zjazt1>m6@#cE!qy<1ira7If~wVw5*n|3+@tA_O+k
z5)zPlAzj4C@S9bbc#h*yVQ0p+D)GEGt~Q((x^E<G3`a_j<i-ck%s=r<L`k&~W(%y6
z|97(RIB&W^36qTsR|?R27>@z{4NOcp$mI;TDyo7md;E9=GA+UMl4E;aT&7`YCLmbd
zx%0rSqYJ;o@)}>H9?3LODKX_)mIZEwOcqdP@3OvD*o)~bd#TxoHtU9ZZ?IF6le~SQ
zk)>)6jTbqBj)Ox(!;Z@Yjf>5R6MH<5SAOsi7cWCY@cOmU^^9{`{6wi@?>90y>Y9eT
zRLM!Nb3+F)C2<-%!Nk5jC97>LW59yoZj7jwM|SR|3>Q&s?YLt8kb}VK7EW~dc#Ya8
zb+Rvstm)aNrB9h3@+W(y6A0krf5(g9yp2MQ>fF=Tqc4P!)WFd2uUz)h_p{GKsm=4;
z?x`i}ZG$R+8zIa~H5T_r9-K_F63dn3+-}=wHp%-b?u4QJ`;d=QQ#|+{VY;gm)P!so
zf24aiOjaP<<&vGj+mn9WTp+B^pv$Lsxo^^({IL>U7Wa)M;S$Y<pKVf~U9uoR^_-cn
zw|X1~p<4etYMRl63Nj*0YWwV?l|_l3q%@l$-Ztk-#9RDEe7V1y%JABN8)_)}C}<N3
z)t*)zp#4Ffr16r6JMpYOvyf0R5`kO?8P}oZL!WTrYX5J!Fr}MEt-G4PjyeJb!PNtI
z-kEvbHA9WWF+8lSTefsxS8{pTUgi~a|K#H^jMXjc^Y8SQ--;95a;9oY3r{yCwIcXD
zvU7{z`XCU5!-o!SrjOHK+Cut5XepZ`Z$Q)ru$VWs-TcAbcQaUXLjbYcLQ6SNj=l`g
zC5cW;W-RJTCE;qCniO!@)va51^@JBLQV*3-XLP)ilbX4Xhl7fe@~zzDtuERV@zal=
z#u{#Zz*uYoiWT{BDmtZKpQ~kZ-FxH8%&SbAywMFlv|v)dZ;FKufCODRu39fW$u!8-
zIh5)smq^ys-@lU9l}&n$hWz|#pK(Y!yF2U8|Mo&{FfzJ$Fs8)TKO|?`)b4#>&2dUt
zgNn{vDlQg^N<UQBZn#fNn?j#){B5n)w=l&BWhUT31qHmGpY*>@ek31u>DX@6O9@+*
zja4D~M|d%cdhABz8Xi#TdQO~TkEl<+-97)EuH5_{N#E{xJp_Fzfd9KpkH38Kn(>Ge
zEu&D^*H1otYv$wtOSS5mU+>I-r4HX|S{0zRy`WmQBW(X;WyUOSVsYQXxLB-cdv>_d
zo!57o7PJVvt9~pbB>*9kJ5U-SsjS9$X#4!&MBr4<&`=oqpt8oL>?4!!Y@nh<MhP<P
zZXPxGULPM6Xt&VaAF%B{{V9k&P!-?Yu>~uJ9IT1*3im@ozZlfDo-DEa#>TNL9aE8~
z$p5Mwq~eTLZ$hvQ(aA+FeW1^z*o3h2xjd_!79=>~PmkMi6~2AdnM14_aj#_>p)Elf
z%>MA6%+A?)3Fj|z@r977smkS_I0>YOcm1z!z7f3Z6rZ6idi+>53ND57S`Md9%}h<*
zVnWj+DQS!wOi>YshMd%uZUK9ck&~lme9YC=6^t_a`;8!WX_}V&N(Jp+^LiGUl=5<k
z>s#$S<Z|AmR0RPU{fm+O74j}Hwj{>4B~lak7{<?Pz|nHzdQ#N|`YkzK?_FgS{YtZx
zm(_mkAErsssRY~d?3q?#v$tC8ndmN!Q#)Uc9wl*Qw{N>59RasX$3{kdy^^-^`QQF$
zIoa!!-yA6>Z=$H{`uDzGUq>wAEIi@R_K9UIf9Z7rcY)U6iSN{5!?~xVI6!>6cv!nV
zq8j&Goi-XwUO!AgwHJmk+N^=H%>p{tP*IonW$&@4{W5gXNU)uzp2)kkwIj&kumZQJ
zu}x~>LVqOBDJGn<nc3Nqj%$Duf#P7scFlhD-~nVwJ*KjVtHG)S&;4-=2gdwOC?4;p
z&W_K`wKe3mV}xRkm6j5@<Vxv#)zU-eYO=CEKq^=#W7qloIWZp=dts1__E&6~K<vq$
zm>6<c^lUs=H^G602a;)<)JNoN;~FX{p(BzsYUJCfqKncpQ>9B*zKA?{Y3G)lEl84X
z4}7F(7MY0;O79F_<&-8`{`mY9)Z%{=?&rfsuZ?j5RF0k=LvHu-;v$!f>!#f9Y2R9;
z*5=B%9Yx0oRL7tf(IJSexo~0GN$j7=@7<|i&m@Asp6ZY-QX{vzXgmb-{a}T{99=A}
z9VL1GA3o1f&r%ARlnDzXwwRFMmL)&(jI(GJ?@tSjzc`R@qzs`s_T-V<dC+pWS3Nhf
z+BX1?Ea+H7YMrrNGx~R-(8m5PmQW(SJW?785Nb~8azv&C%53MLk3*9XrfLh0?%gRC
z78XG&%aUV)Bs<@5wU_Nfi__p2xw)@hx+LYN^5~WBYwHgBG|Ib66HZbX<XpP4Z<*eO
ztP?sD-QD*JSL5nydw{P>N%=xPgwhO6B}~B>$_K*6N4`ke>GE3qdHLc+Ez&EXz_Ymj
zsIrm)jh<C6;zYJ=+0sR|@>?`E$opou$kUF|ok~h;a4Tg>yIfeR(a7IK9|u4^IcK0f
zbpFqJ>G=@JJvA4Zqtzu~T1&_gCDrL0PH0ykL|K|0zN>O6Gcy<r46cfXKTCs9jVP8O
zSPBuEClSB}sCFNigzbYYI$B!jbTuuxNH$XY=2&2+%4<xfolW2J$NUcT)?_6aZm0)t
zLoeba^?}dqU8Gf`yh08bq0ly%146UmDFODb22UC==A}I7Wx*Yh9z|FL5YGoQ*u9=?
zDm8~6cO~lT`HkGlzbGu((nM8NRbg=oLS-%bcm~cVCvyV`!^nmt3<$WP1VnT(mKr>p
z@~zi``<C3hx>uH-XzFEdey~)odtelI%+mKY1W3c7rC@H?$GWoQrY1Y*=EUass=DR|
z6M>JN)Y&=@-ad8*Oe!qL&d%>mY_;Mv$ePN(YF4+{Yvxj9T{A5?*65lDLq7B}CP4R=
zo`b@`$ESq(8S_4Y<4Q`A{NkHf0MjcO<J&(%bi~uy=fXO$50m=f=5*#l>wqAhJmGTl
zyyKrs=p>k2T?qxmZ$tY5u?gQ7WxBt6*~M+bKEK|%MO8JFH@#&*Z@_O~xr4mtCsW9Z
z!Dx0346Nqf5d7~|JE{+O>7PmpLjbjUuRnx&2E7<wc=}qPxJWiQ2Y(hs54qiNV%Z(J
zb@L`vd{8w81uf%Y>y>GQ{($80oSxPVPmDM+U#^+XcK(d(apaF^>*$c;u~DeFQsN7Q
z&CHliKg<1}7NAeku?@Sh?k($|PAtG^tt7~x7J&l=2B}*n!3pON7m06BkS%5aD0hkV
zn)38js;2I3Pej{RWEB7^Ag>qF`nRWkVeTs|EL8IR&SR*4m;A1C^;-0yf%&i69t!jX
zw!R2382`H~PFy~G68r?9_Nau~LWv<hWoF-f<&)$O4!e^gi$Z>#l9!ji-UsRndmKor
zaO64wDkhI^f-uss?CZ!H*24*1IShpK=K}A&4=k1@G99n^vDY(n4X--4=nDipaLPf4
zfREJHb`;8FDLNU&e76w13SdSw63;lsZR{#8+9W4^xq}9g1kVCo=|QXu!uSv-=clNh
zeKCoSV%#H+TJlJ7K@GbHyN2?n+~NU<Y;eC7KK>b7Qu5`jzk^dCSJrgTp-RS@!S^eh
z-@JY6KRdKvjzMYkadCtsWzE=hwS*fFaSEA*oem`x6$@ZsFm(;I#$$sN@Qs$1milB5
z<j$Cw2#DxLC0$r!@6!-WfQ>lF+DPx{(H{7%WVsBY7@V07@G-oV6HwgT7k3F}j6=IF
zp_^V)-61eAEU)r~@0<T0@n~d3&qRhWW1{3Ms;ZI^6pSxScriQ>dre=*TDrM$yx{Aa
z;|$Mw1Qh{<`~k{Q+CjF>o8P1>$&WwLg7**T<*VNIH!KoEEcfcgP4pb~x5qwHcH%e>
zqZQ=7q@j7dIS$%BXaqsf+34;jjjz$_E7h94Kk*#nuZ4w&XMMi}fERWlh+TlexOY6s
zl*rQm^!c;7u`!t)S`>ZqU~nCQfsbz7u+h@OFU~%=3-e8ns|-jfHf^l+Gn2dRyU*w-
z!^3zk3A?C=4}U>4kMXvj?X)N56|P@Q{B04(2aOieG>qT2oWA~iY7rrwPA)Fnw>vyl
z5V@W_%|A936|?uUX(A|ro#`($lovK+c={}IcHCt=v$YDLa_Q;4q$R=75nVaF^<#WR
z^!%5zb?gTRy^Fb?ST#LW_*NSu&b(7@i_C4(;t%u+k-sV+ag3h-SOK{XJWl;t<ImbN
zIq7xv`m>&PZ|i2#JSotV^cEs@gerb9|2_=K29$Of;&F5X;w67g013jS6Ywjg>!?L(
zEZ!61irK}iAk#hN<ixgVlLY*>c!IDjNNUH9yuxbJpd&~mpLj;+sQE2y`<y|m9UtRj
z+hqx56(Yl{u>2m>Nz_zSz~VrU7TvrlBlAKk(MNXs3o6%3&0XwjVojmFc5X3AU$7e(
znY~WpFS{s?+S=wqmF;YQ^!9~HgQNFWDNZr{!tkN2$V3{nAlfrzX=*4Axb{$9_o(XO
zQ=8e?K7Rh3nUPVAgLUm1_m#s_&I~jR&p+NS+0xqHE-xo1b>-`TJ2++RiF2aYqW;SH
z`)gs%@mRRsUK?4numEW<v#v+E6}xeckA25;p4mWJ@28zR%Vk?y{hgeKnCa-gv|dWd
zhn@v7R81|<HVu>I@@a%KkoH#GI5sFmd6Z0N$0iBrY*F5>>$x}X)T)v1=dpRcMf2kE
zM5cDhevWIe=!&?wY<Z}n)a5fdCoCR000<)GwL+MrJL=UOnT+-xV+{6}-6;C9Utnx{
zNH(gaZCc!6MHkDN_#OdWSa=Ki05AgvoS!R2djFZ7=c_MeWVGK5SX*5shuj}uEkTm{
zNOm9rFvl&T|LxnGZ(K1VaQ+a@(nn)Uy#tmF0N3yzbxc{9n}g7w4{jj2(=#On)YNio
z-+%aU26GxD)os)(-hxFeF;O(NtS(0@0@V<LA&(^zFj$U!ZQ>=*E>fCZRQ8{4!G*VV
z>(<&qhrglaPb|4OW>Yv4Ca;Lr+z_SOG*p>$sGP>(D2S6rAbv2?oY*$GM#VWX7-6b8
zS)bnT&Bn!bD}V$)0}5Wk<^$3qs&PSmyuDbVZC4II^qJHlM!Ve0MBf**H?L--`O;7w
zKaNLpSTANnL|@*n)@o#EsB>~*)}8&`mczFeA*d%Fb+(khx_T_))yiqQw)<^(Fk#|C
zETEgCW6RIk93^^cE6#;Y-=e+emM*CJ>5MrjiruV6$n38Jry4?BuqqE%c+w%`XU;S8
zFD)85?$a}JzW$r`=@9rSf^%%ZQ9W;asdGLEiPBO}jGC~EI}xhkrGKi+j@gd}-20G#
z;*N1#4Q9px21t;_Aaeg$^dNT&`-QJEpKk2yKSL6sU_pb*FhT^1@SJ^7=h?5`&7x_u
z`%!K$hJFvQHH~U^-rn;-$qb8cdu22|8JrzDzl*lR?)2&5&_ko?>Zu{J(dxmz<&Pfm
z%6ndmZ|nT!9kzAD%W*sv^JE;o)PCY7+gJ+U8<EDK^Ea82swYF_M3T$bc-9xhUfqjH
zlEvtar8e`1DzxKizTmaN%GB4^rf~1SRIw4FXcTlaL&fTJp6OlD<oR`p2A;S*_M7It
zan%7HaZW$?Z}=u3|H}h$&c1yNK)iMcDD4&!x_fLd2L}g4`=`xKOwx^nZwkM}pe4c%
zY-0Iq9}8j73r>YTt{Ebfp`mq>#tz35{5#<)!$p8t2CEE-8AzY9d-qVBru=+XC_1;1
zk+Bdp-1^L#okHdE2}Z*BFMkI4(hG#ylTMyG^>WwAAHTz}`qt5La_y6A(B+qC4zQKt
zgUI?^SLh7K*{FoSjbs#JeuugX-H1GV-hhHaMAjewys=6ZrEUL0>s~lB0ZSWcISeis
zn;P%v+qR@zBUs@-&JmUGN{yaX-u=P$3It}zzt%w?eQP0%V7VVbhD4!D2X~Q)aTa#O
z4p+1A(`ei`m2Nz@Z|`1E)z|Nr&r*dcZ%GoG*fSdVE6KiXY)O(YMAZVBg2>xA(i?n|
zA<!n~=(~spi`Y1|i6$mIkJt{f@OToEMEn8FP;0eOEU4ZqQ+dqf*VqiX`YmdLJqgMD
zsukwz{yPFiYm38uf6h;MuWvB_G{^n{N`YcY*c2K!R==`ohu87-K7KY=QIj1P-Z$S#
z-B7(nCMClrqy)@R-7Fme5}RQEY1bheDI!ddM`XE6{Xuy-90%79pWQ#o|FFEbL>ie;
z9E3RrImgfJ^Wq7|qBheSDuP@h&6yz&hiyz!(SlqM8Ve>5UUfBzDiDUT$K=JL`v=Zm
zzQ9j#qy6?jw`<dU`5%K!1|lza%SJFqq3HxB2y*~W@5iI&N5`;0<)l=8C*|j_=c+WG
zf0U5@COLAMg%})dnEq@u8lyevv%At6YYUJvAK939<G-g*GX3gRtbRjFxNYABlu-23
zVj0+08hJWdr|^)z{##cWkbM|;*tFx~<E1PmFiAo}($s`9IFF45rydRr4>#uJsTaP1
z9qFM(*SPoP!?yx&V*nt6{m54X?&elYwhC2NjL}%tc-v#=4a>3uoA$4&>Vh|}nAS3p
z7z9-E-M07P>fgIjeNlk+jFy&eXDkY1{GR0JcCd5Krz*B#sUE;o$++Ut9J0=B=lNdc
z6_g$+Ikp(w@czB2YVO}1CjXk0d<Ojv2WZ+Jjk(bfxQA2Sb(V|k>bM%Onj{3{!$sXD
zFr5&e9X~jh7w)dIkGu{o3T`-zJb|sAVLr4r%oiW-tS0B;!jJ)+?Ta=)xi|Vr#Lxhv
zl6K#U?*-E(5Q=)om&UqvZ_7;BPI`H<?ATe|ZuxAQoYcj@Mbs}6w$ZF|mPK@YBvX}h
zt?VxDM>%xh-xn}=h-Iw(=vHf=e)KG;hAOu^5_XeN@j6I+X<k<+%pP3&Br#cN+_N|B
zV8~nq-B|7PjeVk`jkqG7b<bZGj~U88HtEdVLr*q_CC&oJ>35KGM$g9zWOQIT948;2
zmrFcLkz<$yrSj!>lgsAo-dv~YGqbYbh<%P?kzpGFt*S!UkCBJtBP$cy!Ae6)6Amdr
z|ND}DLJxeNSh971Q48wWkG}ISJQ@_pLqwFHY(^`R$Mv|*>fLcJws*v5Cmt8KWLu7%
zzM{U1izK@Y!v0i?KKu_R;(=cdN<vUhut^f?(2=H7@N#nYOI8X&2?@C@a<wWd(u&+7
zBO@`}kiIB<@yWc<ri1!7(AS6C7pDTgkHfbfR9Bnry#k<XAV2eE`He81HmU=*EZ_xj
zPR6Z*`Rd?H0HZ-Pb>z24+5hntV{(gA$S5i-Q$I{5<{Z^BE-{e*$|;QSU~g{pUJ(TN
zJUldX^XQ)c@*Lh0fxMy*cqy_^5|I6bY`dAn_~Ul%Tw|u0%9geUe)sGUM&~1ctRD%o
zX_NM*fL#O32l=f29s>5MKNl}v#LYk0-~ZG1JB|=0eKJnpac71&R;uHP5b?q&jjI!y
z>n{z~83H7mnuJ7+m`CHK4-eILMOC^Ttff%R^>T11IJTFjCQ#J8PfBjnTG=FSEb9v-
z9G{Z%S!*kX955vqa*&vTPJ48j!s+Vi`@WoC_ulV&?P@Z@@RbK_Hab|6qDE3uvhTsx
zzS%%4Kt@3HtRFbN2-gi}{dY{XDlt>6tON_~(~6{YPhUEF;p&PvwT80fvJ##O1tld0
z$`}$V@#U%Sw|+@AA&)bS=|6An?qqmkqlJ|1$uRn60qtF^_pNGKo0fk_Zj?4oOQ=~r
zP8rVFEW2qq!%~R#&91l%6%QqOzfWHr7qmpyHv_-n#|b4>o7lg)z+sAPQ=U9g>!p)G
zE0}N8KQIvZQyxlp=-An`vobSrbP!;3CNz}7sN@*#Ij)qp!9l<_2tlp*;1L=c3M;Qe
z1@@`}mLaV-`__*H(-d@;fLL&x&TEkmS>6i55h)6LE7!|<{$rYjt1_jGfpkIM&4=xo
zkLquECOvZe8kSsZrj?LWYd)_cBO|D*EqQ(^L}l=r&rbqyG(~XJVcCD+Qe7`9p<K>&
zt31!kRm+Mq&9yQFGFrZ#yx3k6L1uTjC*Z0{brt`TT*MP{0#g9%`Dbt5q;*eo96MCm
z@!HHx?nebB0ADc+R5}Qwkl%Fw{^@1s=PGm&zz={!95OJtfA{XBw*vGX5Hv#^0D0%~
zX<9bC9Uh*pH!TUhl0j@W+{A76@m>lAuF*#TJG)iaIzOB+vk!Jz3EQ~5$ApAw{H4K{
z)q8mInAFGzG6MNg$4ZXX47MK>>MVJ0%Hz%js2jUd|9r5({@P-A9&KMV-`lD9N^nY3
zFd-$yVD9K$cDbBC6G`GnvZQu{WWR3;<uO`dw8fY_R6jjwixegCR5x57|J?{Ba-ZZ)
zhW`4z5$r6yWMzyQ{c@`Vs3e4>7QOCowWvl@&`LfV@psp{{J9GkFcd|+Tt=rbmX*J<
zL|MwP(B&hN)3ZnQE*sw;W`d#pE2n5D1L5lzDt18Vzr*Ho8mhsS!<eg7l$A*iT;Ky0
zAHI!^h3?yR`iCYBO#+y7xf~vd2puYjo40OB?zYA6;Sjf>9D`qNSBjeq7kkpXp`mZs
z7LBQQp(xo!^GxGxcIct)T&>88i)>Z;I9H%2ubo(ci~=&N7ib|$jRVFV6up=IGAp+o
z@T6U)PKtZ0RFlP!t%HOLh`^vopx@DWa9MD(A3c$NP%Qn|wQ57s9HCKWZfOaqYy;E&
z-Q|h;GuGWBn<lha!I2>d{qID|M%!LVTU%QJfx>%7ee~)1=fn=l$UM5yd^P>z$iuEg
zlt9RQ6BD_xi~@lD$RDZ%wJ3WR9&o)!b{(*_jqESC?@WVe9~Y7PzFhFaSQn6sy&@Ox
zGX$s}^z~hYHb-f%PO{1=s9{hC-ko}g{lWt01D-V8x;2G=K}1-b^WmXy^yn%-t;$&2
z@26ei-X|t#y!KfChH@=D=)fTS<OG_iC{)yY4|eLB?jf+4g0x-&mp?IkY+2#pfvtoD
z)t_Pe_iB+d9IJ0l3`su2UY}%!SRWU!&9}I6c_^cx3`5C+`xMyEYnjvT?%P>erTjk|
z6-hm2K(BzlVej5kcr&=IjD*<;2nOq1vkXQ49WAT9`}QF&)KRd>J93z;m)gF2D@IES
zsLzuV$fDlzySnnE_>kQkfojIETUXA#dGZt9HK7ye>E`AU)m3IcTiqYbeg1c_8>RBM
z*Snt9T4GE%O&VB7ZrWX?Om0{DFADdU0e$8FsQ4mbC@uiB5s=P*?)Mf4<WXCD0^{iL
zUvhGCq(_o+uO)Wd;@QN|^sn#Euc|tB-?Y+PBt=Jnjou9U35<x`5@NJP<d@%01e0^^
zrYF>{y{TZL8GCMUTjuj%pYF6Nt+cP9;ZL(iBlz-!6K6gjr?wtu14sd-9F#CmR6fYs
z(l?#o^=vAtd-}=pNGN_RyyHfv@{fHTeKqAP1eh#f<`^Q$y~moMQ{ioh*4|PV$U%Ua
zjh(W~W{xH`l>mjx7Jl{F+G3lM(KYjuwiy>YM|xr}(~@n=okk;fiGTqo+`&(RGi+?0
zLL!4Hl?sla)2Fc?0ahyH$H>Xbe&2JWWxNy1l3;V5`$p)pIIe1H!nVBmIxV3Ywt0q*
zJ?^7YP4+DX-;d{Vb8}JBLVN<=7Ow=e^RMT%YZz<^v}t~1lIPY5Ye91}c@yNnK<w$7
z`U!Mb`*w;TXleJY;$m@&Dq$I!s^UE-v2<Xl2Gmh1mfcT|O~;y2l{(u``dmJC{JMgV
z#`Z5r_ln#I3tB$H><s1~b+(XPvBcKG^p%c3KOiLp8P@&f|LA)LG7;1XokF}TI$B!X
zwdPf>X~>mEXCs}sdt2-GG+4<{8@Z*O8MTce^MP%4-(3!CXvBu)4$At6ZnfsP%W+=I
z7j1HEEM;3fz*|M6c_L@vaj7+llSbo*U{M9|1r5yNYfF<?Qp}h39i<0hb`=5hAD?gj
zz8jAVL^}xRfm5*btY&cmC8Bc#$)3M|f3?dQ`a6a=4e;_kJ^ZZaH%=RnZ)`qC=<HCg
zl^E?jZ4jV$LOpcZ($eIbO<bL`meBb05C0tUD@+Q(6qUI%T(-TjYNbRIuz9}m2D(%Z
zXTAfk@6U(mN3O5RUH#Vd%fqUBHY5<ZR-*QiZBFzGnU2SZ7!_hi+`*gw2)s=jPtwrt
zzi|c2pDCITpCqI)o}RCcot1>SM52oYoCauA0MS{M_>^(n37CXz!L8WZf^-GM@XSHd
z@z3tGgMe`Ldb6)oN=ANbyz+akcVQ{;nqJGef)>-anM=DxTBd2p?AC*=wU?JW<X88d
zpVlwV6DthhXcA7$M$RC#taW=V1kxw3ACizFh+AAwteahEh%sy}#1V$Eu23hX4ooxR
z7Vu?ORyqdW%k)9&wuYuA?nT>G_Imc9o+j2G6;3on1NOKk(;wXXAKi)>7BGAOfdI-Y
zRjBHQevBdCeC_l5T9s^s4$x4v;MX}+{hiM*Y1}$m3t<ux$lMK&o0)-rzJ|FEE%kPU
zIT#9%LhjIo;UM|RIp)#){Iw~A!bEjrnfk^|sJKWi@#7IhrhXXt!3Y%>OvD+y?xQe#
zGQ5;raC@6{k*>Bj*}3!Q_d{;~m{;{iT!xOiEepZ*%sgn*TIrt0YqRx0GW|D~a$Y_>
zWvKS&rs-V{gQkQawY`p-o!l`M(V2f_dy+QKoVN?o5+Zra5nq58I(J(XC=r=r=Yhcl
zsiqx#*YpZ;V<^(w$r$8<69DF{zvfDPTGhbG=_3~C0c_g0Z{MCobkK8y)nzwq>P0k+
zQOe%pam?6=5#VcjcvgO!fn%4d6B}ab3LK|w(c^*chN>&3{>%t^c+#TcfSJqH)zvV2
zdV7~=WSAK~k;3GRwSIWrKLZcFd!8!Uv^8ABxG(u5x$rx?y=%C}ctk6_m75!yoOk|W
zeyo-flb8tgAqdYSU-R0=y%9MQ_^ESSc2U-MCDd`q+?{#Mj~&yZlpwy57GL%H;X?h(
z$d&Rb$Lq1Nd%1T5^L8Pk*_XS9Sv<5smHmAY=K#m%Ki(p|hh<+4Hy2Iz`_dPi>~K4q
zyX92&e2?>Gc{|`jq!jXRhMK|0NU^%mN*{U8`9XAZ+c3L0b9)J!%%P_RO&*~ju%1sX
zQplr(LaAXLzoPuDF+Nr~He@_q<+fY%rQLeXEiHU&h5u<ucC5SMx`NH&jPeLB^$#9U
zLTDlfRNL54<=16Xz=SgBx6?bO-~@xN7gAwpHLb)lNang4&=l|vfG6H1B!ryk*;yNN
z^Ml5hbqew14OO}r;-hzWEDt+XEW1DB>~p(ohqN0x-<;o6-P}g09DYpBq3>ivCB-E<
zMu^I>4=%NNEV_Fd$}E64*s0L^vl%-9dwbKra6H3@S4CydBjgBCoV`6B_p6r;|Az5q
zcuu}%x~CE)U1H?k^zD#j8eSe+O)yVrJ4u4aiPhP;x!lW_kC}`8R$<@Dbld&FQPoG+
znx|>r+)>9CBJA^f4J`Ef$moU}>GK$;J5cxrj~OyL(0tv(niY$iC9bhnbm%WZw4jZ=
zRU9;{`6MZe!7Uq`j(?<VmuIXsSK!U<Y_r@V(aa}B<@@p&z-Ul_jWssd0C5q0GaK9G
zx56DWWOmaIjNkkAw2g4v+w=!9-8y*^LpYWzY=IiJh`pB8N=#lsVI@U=#Lh_${(Sou
zYV2G6VVNmQ>0!D?8*i1&q?OM2;&(P+G4S*LxrfjdK`{U4+Cp!0sZxp+b8}<GSE(6`
z^3Xk>R8n;4dS+b#Q|Tsi=F3vo129E!Px4chkg{hZI;Ie_QCM49WeUg`{6#!49tsm-
zHVP}r-Q4*$uO0JmnqI$h#roJWtdZEEqM`!a4mwe=&4BBQG#|2qxdTsv?Dn(rulLfV
zQXJauNxQHicI_Z}PM6Iik8O_h6nRxu{&0aqSiZ+LOo`>IZJSa$KA^2B!gt<dRSWW5
zAurkw{i-|nAP?vk01Pju7BBVmEQSPlQoY=+UeS-#08D;+L`1khM?3D@^oeSpqd6yu
zv0&DA-sAg{4ToVs?g|h?NI3O#USgg^Z9pvr^n&1`gS%MKxld3Q2^c4-?@-<!91?<n
z_HPk1h2;L%!o7r+te!UenD4LubI_lk{dB?u_Z}fiW#M-h_l<x59zNN|Bq)D%esl+z
zN946!POT~P&x~=t;_&U1_s@%u=rX(<r+8%!6Hx^c&P4oLbhq}A{Y$pGg_O$71DBB)
zz)BBbDSmiPo76{xdnwb%H-ezTLM#JXHpn5}WU}F<f}(W=uYGM)kNGgFMpu_C{Hz^Q
z^l|*VcE$QMz3l3O{tJ=>nD-lerxNuAfBgK3d)p!Lws0c!3KwCdI{N17Bf6_~*BY2x
z@w)4#0acch^n7m;HxxbOEbp5lJodP$Db6D^mkjt65dh1MjFs+1e{5BAM*&r)GkG64
z@Du`SEH0|bVSz;tfF8sf?*?zvz>Nna7TMd1ydVF?pCSLz8Q?R@o@=&qg*kveq3tUF
z0Ym{Cqe^Dw0!M&o4^q9%unQyN>q(Dn(DT8HlCy^|VRY^k!obgjEz$%lkHE{(US&E<
zS8Ejk)*shaT=2vS{jj8;++>&{yNG$yb2Id?`9}WVrWwbOO@jH3Z(G#p=o`rx{R?A3
zZ$w(LG57Af*edLH`h)-OexnuqkD*<U;w}!mzoDq7GASJLlSioq4R5StyR9S{wrgSu
z+uKl+g;%?V1+>Bw-)fM;QU~fP&_1nW>mE7pqlOC=JcrvoKRG;IzU}@+Cc+T4lrM5!
zQcSG0!^gy=7s?rQm~N@}tZJpi#l1dl@(6ioq9>Z&7OJ$+e%w4qy(Io1IUr{p_qS(s
zKY8hhWdLGJYIQ(WMV<o`XSj>fJMz84=;}TD9zK`&9DZ)s3ige1{^@RS*EKXmr=ETy
zXB!t6R+jbp)?O>2qmaNesH<yj^T3exCKZ45yw;Dl?Or1A*tB|HTj6|v-L`PLw_=V<
z!9#iU#_=e<ZNWc;Zp&t}CCUrD>DzpGD+bedX@SenF@eqYSDZc8x6uw6(-=%4;#M{D
zt8!r~93u2r+azAoL@iQx{w3q$5>JiY!)MZBY?><0a<;ow+{@85!D3C@IJ25bJ{EZ&
zkj)FuaQqkk-~jFo_cfk8At51{*UN9+!lD29J=7~7o0ysuVzG&=!ra5ltNXSs-~r$u
z1f(^YrRSlL1_HMCO5*0M^*?`5VL-uJo%X+LOT-M5VQB!U#2x7BVa*2=HaHjx(Fe~o
z(F6(?TKOB}cPh;u%H3u9pBBJAqf(jIaPJkVwl5ev0i^-p#py<p!NBti*x>!pVwlAJ
zx3oB7gArawvQPqM@066T+<;g-bryC0ZZK|R`H6u+3Sf(~XEm{K<HtM1LvnJ$5F(YL
z(~BQx@(A1t9_hx{$ag$?lsxK-@weI8SLO-Iw2_j_F+PK<KYy3ba76XB?GU4JIXZ~c
z^HCED9cr<Rj)Nz5@~X7O22X@3at_{s$pOy9XmvYR*M6T3{VmOJ{sg4jJ#RI6tZ;=y
z`puGa_HHdV?Dox1-+GC`sE?6gi`%`$XAcG1SBvPqJ9dnrUk0d_vM?5?xA;O>$6_<$
zwNg`A{Ip7r@hbY$HU<5_G(k|Gnarq`Ji`O66V~k^x$6o-5@iaZ62X$Et<XZ+iDh8x
z5ou$Nbz{gw-0Ao4cfpZ`4G1t{j4cFPL}MwGg1C5h4`=R^{&z<41@j+%)MQ3y3w{gd
z$SFw694*JvR%lRW)`c_45TK<SAi95lR?!z@GDT=L+u}3XVn)S~|3{L-7u*ID%bQA*
zhm0*0Ry5{d7BGV1<>1Tcj6F~2P)d-GpC_%RhP-ABsYC5$PuF@S#c128h3~h_naxkS
z-Ifgw;u`WGQ!jnCIGXo<Y<N#_knh@*M|kpVYCdRjXRB`N)OLZHzQ{|YSQ8nUpLIr3
zuKS5{;b5hvVP-SwH$902he$3pA(PT*MmCm|LHeNdfA?3=wwUG>9YSQ}N`G$Df2jmR
z9AYCYt4@as5U8|R)Q6^;K)9nbcQFBpH6(i3McC5;44#w#VE531hmWt!^e*5Xm{_&7
zsS;Yy{9`msUOfqs^7rr7=H|3{9B&S5Qba{ZKSdh{mCjarZA1R6`ho~Mf+l@dd#bK%
zl}cSKg96koW;+kLdhB8pOozEzf;{up)B5_DfOh=ioazmicjBTr=!)__D`Ah-ci1sD
z{eKkLh19y0*&<Ba_z5E;V~BY5gl}!<_8(<vg;Aj$oT3ip*HPGT#!Ht#w;DJ{-mfw%
z)CL8ExaA{oUdg|085ok#XXsy3NJ}FXbRzTTwQ3I!TEbd!m$U@Em9<`K-+MW-nm!xX
zsO{!#5Cc@vn*hH2&+LzGysIp_<#EvIE3{tgl-X^02hJk(5re02BFrqTNv)v9itm;y
z_wy9ej9FzbrW>l-JE@7HNQYpvEP$K7g*-Ir)zv}EK2_v9E7`cW)2f=ae-B<g$JkcJ
zk#;=ZcC^iej~@*b_In&ym3EiO25*f!iQ>6fOT1$yD>X}fsePxQXnNwaFjv3<Y}#;Z
z=VWGL!A0rKo3SUHq{z)tg52G|Zh0)@Fsv2}HE0mF<)vc54Scq&_Ak2U&rrN7+Zne1
z(T$kwwu$rR-0yhL$T3|>nfGh!@sxdT#r!y&X*C4pR2{&%V+3V$p&)JrwCc&JxA*W}
zxN29qQ>6XHuBs}BuuaS&UgESJ_q7i3eCw15zj(nXnQ6X<mcWGeZ1S4ge^DGw$fuC5
zV9<*W7N%Y#_3z$Y@{S}cy1$?hh2a*p)WgHd%#3D-f<op8W%LbRo}Reg0|NrkEYOV2
z%vc;fs$qQD;=Y`O1T7QONss<B$~JC1ceLt?H|H`C=#Nn#>EmKr9p1>?_v0wUOpI37
zkvb@2_Wv>U-tk!e{rmW3q^!)0>=7!nWUnG5l_W_rlbsogP<D38sO(Y_k|--Hn}meQ
zP9<e;;(J`Z@6Ye?>%aScFRtr6U$5u$m|>AFJ!fv08Gh<|hG+LEJ_P9#U~LuUUU9h6
zAe#)mB@q;#3OA1Lr&T!#Ibl>}WKtUYcJF_%@+LD>2$n%S*<Ugc=082bg~_IkW2>O9
z&uFRer{I!DP^Z$XD~XjzUEIzqU)31!h?MZ=>ZBo}nF{&V6lz=8a2^0zM>lUwQhj7;
zseHgj3-@-5lM{~A%_7RecRb9D#L&{TV6?--LG_5&@$d{0d&J$L6Vg_xp`d1Sl0HG8
znEpW)!z>?FE(x!U%o2_f@N*+zu#*$+Wuz*<mjNJ)7cMVyR#Q->Dx|oBFOvtn46zXl
z1yai%87ATgQyoI_1eQc-hFS#0!s{*7ysohX2Feqpb<BmTix>#8ckXmqNze0rSb(a`
z6jTu!XhQZ@?SEF&Fvd13r7}on{bRRJ962HBt<L9Hf|q+*e#~#DVXOWM5dB~kFP6lz
z24QxhJVa>%wE)CcY!J_=<Pryr=;Q>C1$dzGIB);Yl`n#j^2qq9=iQx}_cVdNE_=>k
zG>rniHyH-yvW6gI6p!j#$c?MFIiwzaDl9^!FTeTbmIPhaSrXX`Y(oP#_vVrjRBZ<Q
z1qq}kgn;wX|F`u$Xl`w_S|eSBK!jK?ie#0T#_ruG2~P_OQ0WV&bo*sc_PElsRdS$c
zNKX&g%Vl-xApVcMCp(Uw#-SbA?*j})PY<W#*ENB@1^Zrk?awd7DE?jVj)K@4f{%1|
zKg7mxO^Lh6f4kaa{i~vVmX8XyyOP-C0~MvFr3EM>hIv*&jZ|;nJ&b^V?sR-~)s51e
zXT71vjV#u@KbG%4-XtP`H)n>!G%^9R5WuooFqRW{mn(kCd@K=*3!AAot_l?#{ph}_
z8OZh~_u4{qRaMo^n};p^CVNCR7ACLD6w|YIlT_;lNSJDTQ~Oy+;N_#+@2PHNx;YN=
zaC7wsbOm_n2mQGsGCy~xDBd|8`B5?DKE0=)sHh{7m}G<QD4&~>e<t}<+S^%}d7my-
zaR0!kK+4q*A6#C&o_^zoiQgD`!q7s$Y_%Wi?_6YQp!jJOP9bHlk%{3Q5@9m)Ws|Ww
z>3trr-USy!Sn9v{neE*p=rCO8z8wRGp6y#DfI;~$(!b$hFV@1`jlr=|l-j4|0;yi-
z4#Ia*!i*PbK=g@6<pS}|2v3gy$UqSP1YFp6O--nA{EM6mS(S;}Q8G_adw(k0s3JSU
z@YGcFd+HZB@9$>=4Z)L-jT+;;lCp9#cPid+1^@G>c0MAFRP*l20pjW86crY>g3knZ
zm#gb65C#&?=*hcNHILZ(9xTi4biZv7@VC+E^_7eG{$n|!Z-hw}cv?qvVDK)q*(>L`
z;r)GZh*FD=z^wd3d+%LBdclwr$^WfD&PRmev9XctprN^h%s3|}G)_<;>g>_QX4?nE
zw=hD3pF0N2GC8h3VId*XndM~(G|?a?SVjgOsLyL+C|UuMN5FA~JkbuNd77BUFaBI<
zTtP4E6rN>MN;qk{ih=e3j;u?}-?REy03w~`__Eh3xU@f4cAV&rY-^a|%{0(L&P%6c
zf|Y&_D8jpxBDg?q)NF-)EEv41SZMToSM@)a0gOG&pTCDX%6xhM{$!pZMpRIVsr#y5
z706>TfBoATFE2PS!-&{V>LoK121rW(+5dS`T#4HmSSx{LBVe-j<P-g=;U2LMABKPN
ztqJH-Ii0H_1YH|h(VB5pgIxwlJcPs8rJrdSEmY+zD&33n9uu~;g}1(BY_~e3>1hXT
zb_R@BSuC0wL=Xb9<MadA%|<OLAlY#<^m(BZNUKG{tE5!XDu>Mt4EIA-e`Gm^A)DyT
z4=17OlGUcKx2YZCN+^X@Zl$@GPa3tPaI41OB_$*+FDNfY@Ev$_Lnt!XNDJp3I&Vub
zm-5Pr!jUCmJ|&Vw8JnEk{7OXW0Yy&!W}*|-yGO759}zy^C47j`)9EIXE9{F7wQ44t
zG}H|iZ+Q3vXBS)LR;Aju$vp@e5-)B9L{saA4`~fHbRIO@h>D9}!DOk#U67xD60>@)
z0Hi8GK5_IU#3!)RuokVh*o-lKAZr)7unC5`e@R0}KM#58`Vam}b?1Dxo46Uw#dRdj
zyaAPp<A8johjXS(>{o5&tRwly-M_0k{ob{5GlSu>{lh1beBMuL^#E}}CBkpU$Ql62
znw2Hcts}B$&(R!%&;9+26Wv-I@u{ieaoUiKvmF+}>fOKXxQ-5}O{~O7F)DNau`{Cn
z0Q7(b1vW+fAa6f^zJILN>B^OpIy$8EyLJ^LF&aGM4Vv0St5s(>q`v#d)JzMgATg6=
zx?+AOn*6R_1?WGDtkdKW87`++Wgc7~ue70{gSdbjeA?zjof5qrEK%J@zk7*^2eoiI
z7F+gNr5|54J_Y|sJe4HzS5V@F%q23VCxC>E?Sd#WtO!_;ZG0QOpeyi=?fNx{3lV;5
zg320~(?H3YmpZep!9G&U))+^SnsP$F%{V4`a<)di%_Jt>OLF4iM`@Dk(Qud7f3DvP
z2rcd)QFC+@J$f2RLkZxab*UPj*G?HdV&Uhb8{({cdP>iT7N$GXuT5YKP)VkK`uSFh
z`Um|5Gn#_nq&GXmS6@igr#^OhK?q=BA6%mhUzJ2uW@O~=IVpYS`Vki()uljK&zapo
z{06nR+#E@E$WZs6TgooK)mIcq)!az(FHa;zzM!$uueoe-q?b{GfTJyv7U=Ff105+y
zWC8fbwAaeIySnX3(0%vyw9zu@=-YQLssMV#6E6(i+ExA~%DDK0wBaVUlLfECu^a@G
zRtiGO(qkH&tk(L^O`aDnUUgAi%nzwL`1aa1LdnA;fou-T0E_jQ55cG??v!7Q7AqlP
z;e*?punm4@`J`)8FU-PE6gElQ7vEo{X#Fvd=NL|4LB?=MqM<z94qc^4&6h7D^FkD2
zjhmAM7tzD7wY-XV$hy~DF2Yf?;hh#Rv!l7A!`ar>rBG8<cz~phlz;I`W>ls8!#v(A
z_1|r|YPOy2^Py!v8mG$mzi0I_HVSxY<T!VZW$BrkzTa?eT#~~!s~fN0(A|pC?YI_V
z^6&or@|-6zb0;fEHmp$x80R6q4c|3t91WgfZ~K0PjEqc6s}WH3BJwMAf`+VS2aY||
zKJwrW6&;<~>nmJV@`gr6Nhv8#c6RIx3^l*6+b*jp7`t2zVu*T0YBa6rF|bSMcIG!X
z`NY=8BDd{GE}>LePlPRyK4iN=@03qLXvD`<CtF+IT`<2u7q<i9U@#gG{<T_7B3^W7
zXx+E+1;K!;-wJw_TQ9*Ir;N^0<XK)gnzXb>fBMtSy=UPg>aIHSfD{CYW!c~W>+MWf
z<`4KRIdaE%sfS%mbX5=gC1lG=!oH_0H<4n!wvPZL8mfev8VkgPV4z*S=e;EhJSWF&
z_`#TMg5_}aO<*>K@8={a?q_57tio;iFSWS>Lh1281;1ssd74!J2%TB-3=-4w;KwMN
zD0bnpt?ko!t4j&un8YY%){MLrJ!mDrjn1=v_BUOzDtCXD@cTg9D$73FhHVp`e@1_1
z6bO7MJw5{El<j>}h0=kV;}MiRs#V)q9h%17c80poP^9(;yz_l}NY5eGB;bdvWyh|W
zg~Cm1J?1OB_!LO6*7@9ckN{1Yq-up^MebU?qzwH@!>243)r=e76rwEa_s*G448AB7
zz;6pBiEf<w*|WQfOhotYov<ri5mZyEh8FfdstvxIsR3KUQG)H7=y60@+{F^d^Dw)E
z?E#yj^UIb1WSqVJ+4M=v*>@)cMGU-uur}RGQuYZ!tCQ+1XOI?YQMZM~N2`Fx3<QG+
zJ(Gx0<KLCHM~w-6yUA|s98CQ%$jqRoufnn!CWCS_o~0P0tp5q4ly=w`D;zqsD*&V^
zH1PU4y2p=`(IaHv$b*0*8mu8vK}lQ=6UH#@!MQ?!5gbY0%tR;C3HT2^y|5HUHja^K
z>*_K`)PuA&H8q8EBh&6W&KX2<d?|IeL1PFYf|!^Nc>4irD;i$MEYW=F<?ygM4nm>l
zFJIb(UMB>=NUAF|`IEe%@9&b|E~X9>er75n>eObds927yj%cAvbcsvvQCeuSUbVxj
zk|JR53oGt~|FO&@Sea#=2QQg+;~k2mO~Nf&<S?skCW2reXdp1KB(y>^h^Qcy#gAvO
zTvwenU|QVksB3X0=%s@8X98|wVw4b_irmrDVEn-AV)dt3OOhx5CqUR&ogw$|SpD-w
zxdp#-{t_(P&X5=zL*$QF2daK>NDy}3iH}cSevT#+)J&{l3LN*mXrT7p1~zR}Gs5JB
z=>39%A&AW|E+gzNP<HAf5`dNgA%6by#f#^~m|okowMqI^DD7fUDItn6OfYG4SIDCJ
z8`%XT?Y-|-rJqU@W=w*n9BwX6b$`CGuh8gWe7se9%&OH@at=4CX*=HqMKsgl0?fCG
zD6o0`B_`((!Mvq$YcQbdptv>sntFEhyAGw=`3`X1)47+HcItGx-O5rYJ1MlzddA!J
zey68z0#8M7`Q*ys3Fe(JKR`TLSm=8Ecm&WtZ9zyQLHQXU?-i!~?_?#0!;9QT$Zn_S
z^}Qk@v905Hma#oT?ivhN4%StJeOS+?F{`ikFqEZJIcwCurZd?6wW%R7G|rR;&>{N7
zHoECFRunC|qK;3dXMFi9Q(oP4vA&pX!*87dA%%bbz&J7AF4aEO%J!R#Ox&$C&XAmF
zMjYB-P{GdvgjTA%Ci#D$kJ(W}!vuqUaM@cultEY~CO^R13Rh&oCgZ2UZ-l%9TH2oO
z?rvLYuszU#AQ+cF?!OB9D9t))K1fWVt7{v@3iYI-;$huLP;f8=BqGdI$Unr1jMx56
zX({?F3Xu{(KwC@B*{UQ40_x+@Up+iLeCyUNTmT?5@|4R@TIa66-w|4O8Ust-9>DgM
zm!6F^#3LwlP4f-<2h4aj`TZl-f_LsRN4l_hA~iXwP)zDxll2Q%4rA^K+LFZQ&KOP}
zfB^>jnQp%D3I84GxL^_;*sqT8UBM^^hk+kTx|dvOc;mbAec%tED6E>twY8rzgeQ3h
zW4uJU1}K@;qN|tjWgvCSwTO7(zkQIS;=Y3=x^A8$&M>TFr}+SNig;YhX)#g^O;S=8
z(eP}7+}X*c@M_s-@qp~@%%o0Gb47@ch1e-WPb5wo&p&>&lEY~%m$!9Ut6lCl7y3ED
zBFU6~`W7~9Kwu4*TdWRdq*N8Tr=gAXop0oak>udZd#@xS%E9628`!+>XIFBW_th!z
zH*pc*`@<%7GDTq*50BZ!i|x8!Vk2CfIV0<Y{du2|5|5uWpQ+MR70zT`&F)ukxtaG3
z9J=<$!in(0vHw7WL&<#6@=CMpp+j)Z$UG2Z3{QF|<YYD}O#km`6$dD9XKv~2EWr|S
z{P^*HN14P{vHknUX1y81fxV){9-ke0WC2Cdut}QZf<hql>c|79Q0H4&+l$L8$MO(Z
z1GkLgeSZ2)vNxMNK0mnFjuw~9+LY{h(4M`V8XFt55ELXBlpmHJMnz?)@kV6dZMUNZ
zeMc*oZdH=8kdxTyoZ-8<pd%AIxPDpo#(LXwBW3H${-EgP`1$qy$?liGw=pUgP0zpW
z;9z58W;Q^E=~K4e2IHg|tFl#wz#2V6!|x*_NTR}`>2-;Yi#4Jij?B{4?+;MArl0fm
zg+(CZ9tsMaK`#c&|A3;2D)>l-i5spEOeAa}XaKTd%SH@Nc6LbP7~+?AtJC29dQ`;P
z`ckwNv=<|F5X?YGuL;)}ou2lGfF#5M;tVKSnsfnVbx{--6~#;YXzS>pxd1{~{TylJ
zWnnnRXpLk@K||E7S0H*;gjqpO&coC5rKp3GQ=VZi3Ah-DdGK?{$jTmnte-`=oZx%H
zQflA57G1V8IR=2t@OEl&aO4C<bo^lI(7dN({ScFgdNjwWij@Z8%hW0o+N-QE;i5go
z(n4BNQf-?g@pp@i*3S`@kl4=45&>5mJ{AbgDl02-{IhcnobiH4Bq`O+6w|9UniBX)
zxGNdFP6bDBy}HgR+OS_0@mD*meWojA@$c($6&Jl~l%cnQ3h^T<Z!cam{>x8ZHkPa9
zGBDq_z-rhY95FDFk#;b>M?lo^dA+j1lkTe?9xp^E5p3~1T-6LGZ)k*RwvmAcCnqPw
zKThj<^O6TY8cXl5mTb!e`6P;3DZLL}U9~TtqcsTf5jY1SyxwZ(`+BIpcEZ^))G(&6
zPb4euK)Bw7*5<h$j*#qQkGr5{MiyVJbw9os=g+TlGBQS%Z)Mo&=Xij{#<$OYGz(@0
z*ovJc2`lq*S6+N`=u-@<u$QE9kETe<URYknc0T6tz(gEq<J6x&#jjuUm|k7(2%$1(
zZs|D=_^AI`U|?W)cLeO+SFawblk`>b$LEIr9Vw|o^b$OKMx~~q@y_Y>fG2#4RkIBo
zI76;DIx_DdXBZhF{&c9Mb$y+_5l<{;5{OZn`{va*;<WjBVVs0hl!BmjVZ%Y_j(W|H
zjHfJSzqPC`JiuG@x!3{PqpJ!jMMdtY2B?z+nu}OSWZxa4ki!#)NQ(I;ffzkA4dS<~
zC*rS&cT=>LV*7T8K#N2lpjXcvT0l=v^;y1@lQ8vDS2s5wgH@ovAI4MCpTB<#w)Ddm
z3qAMwgvI4$;sVGPVtpR86eW|8Bu$oKE>=XjXlgpT>FMc$++55=up<+tRTC3&I*%_I
z!+8?UBpk*Sk8E}4s=t>d*$@ySRY>w-XsDpmmhh^igmFlfV4U|!n$hO&-L{rm{L5%)
zfba@3uv^B4S?IGA9y^y~kll;OqGGw#iWg6>Uaa2MUK{OJ`t=np8>N{(@$Ix^NU&~>
zrs3VYH@xFV@25|-k2WGM<wlZr?s~uc7UK^JIAOCGk<yK3QxIV^_axP?ll0<xhAiu;
z0iRZ}*K&#%^nKn(WoGgR)<`-i-BK2d3|Tifmfp!c(lKTv>H5?BFs<nTDFKZNS^XQh
zoW(AbAY>%Yiw=Md1A~<R<_5lEYSWQx3|w3n5$HN0+11w0N@6}K^|W}$PHy!}rF+k0
zCq*Mb3Talr7zUSwRD9^;Hq{$@j4KxRzm+FPT&is+|Cq0rmzPSK+2AF;r3?A;0!|IO
z)C6xOQ@|wn1GTu7RhDUim%BSPC8fMWQiPERhQe7kN9Eh)Pxxg%_`ctNA^j7-kkDtN
z1TDG7@9y8mKbT7rErjr{X;^F<o}RA4Ta0Z86*LbQ`L_s937Q!umGtLZTUwrhYA7$i
zAj<N(q{NL=D^d?dR>HbTfIv`pgqmwyJlZ*qYHHPu*e&2li_edF<@+P8os3S2IE&$i
zYroDw*U?a1=<@2QHTBzdvT`?)>M!g*sli`zqP%@2Sxz+Ep^G&YQgs=w{?(Hkbu%0x
zk#s66YEQcRjrgR<Wenx|gFcs(;K$<v`-N#IBfRY2*{ipy2{a<y*}}kp8By<_zI=g7
z=ERsH5InqeSb)%9@oocBlSz*<1T{yGA%7G=*|8Q+8=EJc4Z`yB=S5lEITMqUb8x<Y
z{fbuuRU^db1vZ~>W*>|pIBao@5*G+~d|^@`U|7C%fIVPp>I%|tAoK~b2zzcV$p%kN
zsO;Vmxs$MNrBL9lGR!?hp@aJG6H&zG*BtH3LZZn!XR_6^o>ay#CYBl;wSxQk6~}o@
z>0ne>lS@dlaHF*RM93c0;RNV2Q3+~aT$Yy?)i{Q{LNbhh-+DW#E5yyU)=`8+Ls6&P
zeKOZflT*<9&lOQ`GNMWpca?<N#e+w_rt)i*lt(Nz-sFFjh>vj2^mlWeY-oCq6#%%g
z#<bI6cM}trYqs;iMaCT{#Z5nVy8AshZWoACU<bx-Q9gV$RT1MV<VqdyIZwEWu$)r0
zdJ0w677b1JAKf8!!{<h`bFC8a__bYU7z<?h6{WJPtMx<Ab{KT3$>_+*$=Oc5DlEhl
zh|$&CA++?UAmN&X%FuQKvQ+DOC(ti6IZ2(46RIwR7RQfUsR=JV{we5-P=9lgSCZ9|
zSX~0xfmto9j>~y0Z(UN+!uF{Rp}?_bITSVS(`Bu`dw*>Hz(+mgzjdRl!f;<mr~vZ~
zK=o!|%YZ>3u=2*C6@Gn^$RnkZIIEq%l!(DSQC|L~vlIAoGcoQ(gMYQWcN+oM+Peuk
z5s|0QpVI`~yLZ;h>or!u>goU^(UXW-Xleow&mU(CKi|90_00Runb0DZ7SI8*ZYqfi
z``6nhOCCzK{IHn+)%}b0uw`(EA@5aM$nwHN4+S9BE7Na4k@l2Cz(9`MYGA$hh69+5
zABBzF>)+x}<u@I~V@5oRld^j3v0)GpCJ5~@9ybJJgjhgA618fIQ35yz$o$+MH%^=`
zhg%{cPs7v<$RDR5W-g2=*dq4b6LewW=00icfA8*HkCL1N691<K@FX_tHP+X2srV+*
zV2Hz*r*Qx$KGv1ExWl`{<Ag2|pn*fC5S9$NXb7LMxL#rx+=ru6h<-;HJFh%+tgnpo
z?9#+iP6{)INA6>#TuqL?zX@GYSTBDK+rYuWV9D#cGbW=4H0c_sBWB}v9};-ye`iCf
z%x)L)s>yeY{2q!<EEyRVH76&rMptOk1iQ|n_$ywQ8m|KX-iu1#-nz$&#$<=ov~zP^
zyy#Zy>&-mHIU*PRk=w3~BQRAnk1Qas@x@}_2aHeoReqn~g>zEKL+^Iw@?iIb$NZVu
z1z&F<XK7Svf9lrD-{4s41SEndpT)W6rQ_klBvN4zob05b(LHty-4N0b;Nne&aUD9a
zp&|4vBAQnUU`+Q*!RRr(*NMm}Y!*)2un~w(t>%hn_!*sV`n$dH-1dwf0R@HoY$rIR
zZWM!kxi%8aitgW+An_mSIGr5-FpDTf$UmJC`+NDgo4Y&NOgmp+|L|-neJbNA`!BNv
zF`fMp@QBUXSRv0K+82aNL*jl6qS*6IP5pq@_;0NbeH+!p5sUQ~S1P%$2c7xE^%XgR
zudHPD%pcYA;3*@@zw2!ch*2Ft1LDO@%gAJfj))K%NBWK_6;UG8qiQ6C1COFaU-#S=
zwE-bZPn;FmLl+7ykD?i5wh8`8B<HT8w*|P!va<;ryt?-{U}ZhDI|_l6Q&TKE$RFkJ
z$1I9O5FD)d@X+;CCfRM#qDq!yPzHP)M3Fx#OYt6~+5JCz3oh3r#&BLb>L+sAF75~3
z$_HVV;}7_Ygl&bCsZ=}fKdA>Vn=%Ea8CoqJUqJ#9&$Vw1T?@B}0|`R&sm|cB?z9DM
z@pofGE*b=l)p;36&LEf2mAub`2^fEumX;QyJ;Kr*Y;8f{0a*YLO!%)qK3r}5*RS1Z
zoK6QVf=v?>xv(&(qud^Q+@=2hTez59Ia#^5{!C2RNwR^|e5Rj+{~BnZNC#{!IPM=6
zBpGA8?t%SZYKc!Er7TSP=z`!u35~I}C{-xCLHc!1@6CqKsY|BqH^1g$1ZUNY{EOMK
z!*``LuD;btN+x9YPDWi6x824@eE2nQS@+`_dRc?;LWcSXqdJDII$Tm<)w>no_j2YB
z0JzG)QB584$o7q*5w|tl8~OCC?SLwgb_2lVKr&`qE&jM5Y(av8u|3gmtq#zrFWgyR
z^6u&)za}AL^H6H2z5Nd=hSKC*o9H^d|AK+le9}E2OEx)mq=WEQDIiPuLqD0;g|^6g
z=WTtc6+~h|NUJdBL-br)z=1rAbwkT<ZQ{uV=gO;qY%~?e5sk2clRmpZ1lkl>(*O2W
zZQ^LTWWr70FS-GW*k?}KXRa;nDa6Z2Duxa=f<^4Wce-RtYwN4M7rolkRIAXGoS_Gz
z62Wx(dDg_jA?UWfX{v|+UhI2#Gbhd^HXUhPmp-t=n3o`7c4fky%XkX|MVsr_yuC(#
zTt{xCe;O^&uPCJLp`|UTm}`MTL|6SeO`X!h2X$YSEvUA>X`f-eUlyVX%O656PdsCk
zhy<?zWk3$wm(+&7Gfq`(6iju6?qXMbx8a>2W=~-bcCUH8;!m=xTI4RZhIk@2(jNe>
zQRfOFI#&EQP|83bq^4Pg<Q?ElE}V(<kr(ca*vCX)*|-y4d;b$;%d6$nZ#higUJuTJ
zt8*Bc80XG4O47J)^-eDOs;Gh$Kn?AaZY0JL6(fe%PZQc87X*UWU^awE1bn(dMla)q
zg1kx85TKQkauLU%t7~ELj;&<>>qnLe(M=yR1MbmxXU+PM5HJ3>_%afw8UDL4^hEg+
zTaTUCRrogt4Wqw)K|b=RiZ$cK3nY|&06UkVNAKgp9fK824+0xrsP$0GRM6{l?b;!P
z@$lwV;ap)4nV6pLc>kV)o{0&n9$v(lIyyGQ@E}(rzk339^RQM+^a$>?f(GnR5&QDY
z4Da_)a8+n2LeHrI*+CXZ_Fa3SDeZn5pKSEFdjca8?B2;Cm)`aC+>?%#Ro13zb$PZl
zsV~odUwp3iq%_r4oyT1OX!8so+<Wuy>az?o;v{o%b>*Whhe-xqb(V#Fb#-J<TB<Pf
zN1E1v7X7w8dhGqL2ss6)q5zn-Uu3h|o18TMp=%ofW8P&_MgnYNIBsJqj3fOLQB4B)
zYvb9b^0g%QkSxBrT-U}gKhKZ^1d<yb@mO-fZHkn<>8Yty@Q5e>G+`S6_;#|y`!b2=
zck_0Ng@@<O+9iKZPPTS*pfd2FvMCNCIOgo7?-OLd%5OV7_4BNSKZBpd2jn}_Q3a1e
z=ub8SmU{YgaYW;A0`pf%ZgEfBpYLKO<gRB<r+5t#lT_{PpG{b!1ZFoAlRIqtcs`+a
zv$Wr{%j%&7ji?UC8~i^%Qhla2*Qe8@tU``PeSjxLMa6F+W(s5Ph}=|RsWwMw@dKAk
zO4Y}7w3Oa1#acFWSj>IuXk}?s&pp<^0fR1QV_qfg{(K$<5$3T54c&;^TG`Wj-ESd(
zMcdx}RK#2v=9|b{x7>xZC;@Ze;^HwuMx2OHayPttH@tB$NOu*xGl`P-U%SQDuoN~4
zvD(bnM5oaiOi~#}!^A|&631j$3G!I{<5=k>&cFPIv>l+?*N1Ozmy7mU@>G(WTsXhn
zUcFZ7?X<rf*CNtu&cyfc*VWS6zPi@p%Gv0usmc^$0lhUQ9-{>K<M&*o-ON9#znRFV
z+~9Lo;N(v(asot17!d%7MURb=TG)^g0(Vy|QOj&lrff!@S(+X?^&e89CvuK0dJN1D
z0imeJA0vMMFyrd&m>9%@T|%Gj@rxI^(mI3-KESDi6PL3QAUVUfT%4vk20DUw1_w>8
zt{T9ZYa}YeMgve#A?1B<FA{`N!Z5SC0b?&7Y5YwXw(gAiB4oCUQWQ_1<>q<39cXZk
zdwx42!lo^Wgz3!ogBaw1wiMF0Ja1(UKx7V<;<$Z}F?mI)G7UtqsooJ_HCw-GC#4w-
z{m3Kz90-z%{T~tUy!tTx93*cG5<)B@+w-y6kYFB`q=7E2tEXoVGt~(JKTVQI$1v8S
z0O%4^l&-n8o~Bl=CUEWx$>c#c8PS7u@(Hy|-G;%+oAg||a`)3l-G2vtriqm%(u(~w
z{0T5FqFU>Z8B*?ABqX2KY#7Amy)5B+T}g6}CBDJpk5ky(_JC+^-!(;*p~fqHFAnd!
zcQREe+2nSGmG13o=WRx-+vIlQZ|uCZQkt2?Q9l1dfSU6Kn$FIU=sxMj0OkWL$0z2B
zqHnMKhyU2EWRV|Ntp$k6&Cb3TLGOP)?_nOE)RGjqZu@@4{Og@tbj!oVd0$}>Qn>O}
z4&QY}MFrs9uA7IT_(3BDu+}ucwVc?PL$56-is>l{>1I)0{`F7RX^4H#xc4!=z2|`h
z!Pt1;utmS_M=wh^a>u-kpP?zVcaFTUl$pzY@l728S{InB;T;1)cIOCjXL8J&9n{yo
zK>@`s(V!DrHG%js`celu)^6J94FOZtTfb!YlIlwV*Mn=v#jC}ikvKNJe}DyF6nN3t
z8wX35W$8%Q(3d>xw`Y1trg9730&>95i{F3g)j>!+X#%yrr&q9lInYDws6h_=R<<yq
ze|pu|&&x{|qN2&gZ$8gqwE=k*0BboUrd1Bt?rz=C{?umHn9-f)mmxK-#y}vapx9lv
zN5+uw;YsZ+Sv~#jDs*QA7`~I;qX@NrI;jRL3BuF<zGFINQu6~0B%VIE;xnMQ1_qoQ
z9FDiVz&o*Uy%HqU>({c$>D?398Awn?j{YG~C$X{g#60CkdTkvY(-`isUF^G8Qd}Ij
z{0lMfIMN9ab%RVtF46YwJo0YjYIxv*`XC(8t{9ypyE!;cJ(N4FaI+u2ZIdV9tw5UU
z3JGim;U&WM_)RW9JDWo2tX@z}O${bpIM959($jel#HSnVJEjtUw5_GSEgBEy*0hLj
zc1km@4SXV4&P@w?Cp<L&-uX8S5=2{Ji-_eC<L9q^|9)qHX@PLC;k&IDSk(w=9kRzc
zYjQSX=J##wHZ4C0cgw|cPp8(di%fwJgdR$j9=-WQmb7|!IQ`_4a)*7N2DXjlJX+Xp
zGm=Z@J*72;&kpK3u4a}F?{fUWL_g%0*VCO6v+oPocxZO6<Pr9XT^1fL+BKZUIQRAU
z?AJd#mfrnx2H6$@s5+j-<k8!&Isw8}+Zt;`>-`OtuG|lJJV{Lcif;}ZIT!%<CuFEQ
zR4d%KChF;weWX(>X*(Qip(trO-t_C*lO73yn6|^G#r#@(eQ|KZO_;6o4MR9Cz+F_^
z0=%Xg^Y%XJcv;*~^jh6MP`0Fy`10aszCltJr=Rn2a&a@?`!bW~r8?;^PhL>43(t)5
z6WDV2z5-h#e7$4oN?(&2Myqi+sst_7w~M!Ub55QVcvU<ig>matFxE@|5`yRHXNQ8_
zc43SF)!X3u^&m9>F%ynJUOGYYG1d7(A2CkBJ`8Ix-;yXvw$ANp3MoW1(f&8T4ob4o
zyqit?mdB>73&ss6+%XoKvsEHl@p!D*+54ZpTQ3)j-1KE$?ZGq>26X&<f^>&mCwX)o
zlUdfIork&QW*GgvNjnCjd#4UJOnSRAtSBk1ev2m}8C`TJ3dGYqZf}id=Abe#fGfU!
zz*9RP>-sz(&hZBOGW{sYZ#{Y>7-GRpwJq*BnoEz7B*V6b42qb>F}e5H>NIXa+y!2W
zob)iH-X~8+*O)`3%o48g?d!*n2Jjad>_eSk({3eYEtw<=EWa2ufSVeL!XG7p<OgkS
zUOveL>vp#;pX=9k_lN^Izq=6G;U~_+K*@YRWJWx9?dsIXzPXBQzg?Kq0Rc9oNvwV*
zzJ_yKySq+NquLJ-*q-fJs_`1)riPphWA?ukNR4$VA$<^4#^=vpR9l>%InmzJvly*7
zH7uvJz@FM4#B}1rL}&K9*Z$_8B5Y3sGd_`L_#|j_(Wh<OqxFLNI}YZOY<|eQaxYzn
zdyV`0Pd>cTYbP<7IwkAbnTyp<E<ZG^ifjwhOy|HxZ;C^o2+@JD)nI5A4b_P#J@$R?
zCLuqn=2<D>1=NmXhb?I<7mVlYnWi3+=CA>7IFPJcU02zyX|zg1z>I{c>BNqPd1{=V
zO0G;BCY^nKa*~p<^u8f$*55MvXFN6C-RHIU%w-WXu3zmdRHl~USCXXWIA<}rTggk&
z_ad)D^<SRUR2k0E>fhtiql=X(B-I98<zMCG<OolTzAo+x-2KWcu;T~dYqP>Vf5r4L
zaLE4~dGWNecY52Ftm?gyz*|g|_%yv9F3{OAPm&f2CM-^ASwa?j%%v}%COjJ2`~Cr!
z=L8u~AmTto<frp_w(%_nnmXT^n(d@Fhf~aEH)7O7LJ1#@ecx=)t)d8k?Z&I-);5?x
zLFa+g6QjakD4#cXh)OdQXcHu@vwGnuWY|I0`p*nGG^6wnu+hsWVtmIc6Ja?*^wYk5
zq!^;DKAwi6d-v|$<fJ6w!SxN$MScFYxCWh9f;Idu4)*pR?TaHKs0(Q?oi`L@gdKgx
zTPgU+;aW8i<HX}Q<A$0VVPZQ%peEsm(9eO`iiScR3X}ShKiT+uGutLS6u4vXpd*bW
z>F!;P+YN1`?ih-Jw;tNWf6e~#_DlEc{KQ`}mA*}GlhLR7c}w1l%=4w+sI<Asy;%+x
zEIj!6EpPwhcZ5~p>tlP(G3rnBbhvUhhx4sR<QyBoZuq|JbgB<&Bfu&MwoZmLZhfb}
ztVF$K9p=xu)xYDK1YRmA>jQQb)f9PDhS~&L=pmXtF3wea`93BYTzY2L#_xr4Uk_VY
z)}aK)!|rah(|KBLF8=8sLIC9M*nWt?uMn(#n_oR~k?_L1Y<zM^k=B<RmXpYJiJa)&
zKOC;T)efLP<-%zr$@Y~i^z$Ve;RS<=pNl>(CfP-+cD_FGj%nWI+u5LXLiHg5HcqP5
zq}`Mc*KCx{fZZJBk29omw)ySPfK!IOQ=7JqtZ3%P{x?Dt%7KL8Nr%;0?a|X(9bvuB
zXH!!>t;25LCY||f(VC^o6KoiR6Qa<_w?1LvHIWY+-{2kJ>vf`7>ADr;?>z)_^9-KD
zgI&LB+>ocqYRBnY1G_DoztE5sYDhG*P;>&tJrMcz3x-Em{Ts1rLz_ySp|?`+r=faV
zUczchK_ma2!v%}sB;YTu2r$Fpf$uK`yCK3bw-2YJ5L|i<R^%?c84m2NGrfh;h}!4O
zze6$jh`a=jTbw2cSGOy}YWK9$7Wj1-B_kn9Gd?kKdo=`}xjkj&<!ICcWxl!T2dLy<
z0*gI-*4+~{6l9cspeR50_1PAGM&cNr%p*rIAK~Evm<WCyXcG>ssw#h|CTq;)t}i^*
zd5l7$6WZExiHER1;?Kn5^*dc4i&XLUVw)JbQEHU%XL?#T$`-1$m`CSmJM3kdG9!DX
ziu}sH?Y*I?TIU`#CZ~T@%Wsdup7*71qlmZrIWi#hjut=~8>-Klnej}ljE{|B4gD}M
zAV$BV=@YVGtUV6HO(ZiVA>eAdXaRrV4M0r=rQdghG=){j*_nrxb$JD=@jq)Ar<zB=
zIMV>v@MSszjytKi$@gUxAr>%K!SKdOPftjKm5O_d%6W?_g}aDp=DX$dEmrPSGFC-=
zfitVVZq0>*-)$H;okr~G60GSs<<z2MU&<GIzOy-(visMsx*zMVFZyb~sq7;3g}Zhn
z@3G`35sKU<ndwHMwvR%0aC;lu-?V0P$rqxnk}Kax$WzZVSz864;tnb&BOqxWQArhB
zo9l3R6Vq3_9v=t7w*~)Y?919e=MyAMdvDh6-Vt1j1lP!yA;(*RpP)hVHD_IiR(t4e
z``KSC1aFWm1%1~y#ck>SJ(M{qHw8Y1P<hX|*UXZ<;OuIZ9MIP}QbxlWiZsy(J1g(E
zKRwDoVZnohfsm>!N}Z;TjfMjH3v6Uo`TK+2#6?Xj<iO4K+oTO30>>hXgit4$le1T%
za)HsV?aH@|Q0|tdroM`62PGHY9^i~4P+HAsQDQH!qfz=FaBZ>^PgJ3J<n7x)Ah@`=
zu+4$!M0Rq6JR&FTi;ef)^Yrqf4z9&@O(4c+UcHLH4vrCXA_4Dd_$prx<^0mpcR6t+
zG2Zosl<3Y*3y7pZ<!HzYcr~}TpA}(7vFV{hi(lQxFbzP}vx_SD!GjBUu+e~p!Yz~&
zgp~iqmk3Eo+*B0-2b_^8_fd-jXFJ1MGhLB8*OECua(?Va-Iuh75_QGOMSNJaUUItf
zkmg~y7h%3lsX4D6r+vwo?nIf@+Un{oPFmr(i(UQwrRY?U`-1^F(f1hEQDSJ8-@`}G
zermp_;8Ujv9KrN|9gQ}+vi+U1Ci)VlL#_=q?d&V7B3Lxqb#!S|Z)}Y88!a((wZ6KP
z`{ztevwlBgtA!dZfru+TKVRgc!>PcpZW$K5Dn@lzmhSKKPou#+B-N(38h>E#krdz3
zqa+BPzs<$KT66m{wR+HP7J`ds$z9JIB{5IYI8o5sNN!&7_`YxWE|!zE>*b)r)vgcG
z<IczQk3Rr&oE;o|7BsfJ{O^}5J}U<Qz-FYItT3UIZ~+p!0X$|yzVq$R3S!0U{=^SY
z-_BS0{k|RucjpMuh-7HLc3tQg+D3%Q<^!dh4VGf$YUCEyWFCdo7<)84)rr`;LKdJn
z^=8aXY*rVYpS^h(mhm*jwR3|@>47B=$%(x8bed0ohu-MnL*FSs0p{C89JA7A8P5e|
z74ao3ED<}{L;7FYVS6#XdUesI$WFkQ;tfsCyZ>%lk;|aQZr&t;NC<BSo?!inT?`Bs
z3y<xP1oV$E*H}5Gt&REvcqiK;qobk3u{i$;M)_Br*5^MpH-{UwqcI(&nzuDFA)<z2
zf;22D3Ib2QtLE_A`KnYw^q!G%ScEzI@#Ew*(G(<AF|x1-#W&-+HWD=yVMcZ%6nPr6
zZLczcULnlOw{*Ai&4GolVC=vvMro@1{h6BLp19j-b&NG_UiLOYQ}V`D0}*BzLa-O=
z$n+66w3e*{+22EfFE=PBj>%=ZZKI(0gu!odG0p^RBI>hFw8ytSOOx1-Ck@CJyRgd_
z4eBi6-Pmd)xSj{w0z`WLT)J3M#(IT98FAeidP!z^x%Nk22qy=6d68E8Pb;hcB{jDR
zl;CN&Yx5!d8-Y`__HVE8o8yM^YX-yfA8^qiDGA?1LV_nyD2biJCDJQp52cdFUAlA4
z<q6tsfh$sk*bCvA#!6cPw<l*t4oK2`zPn;BOZX~ZU(5C6sKo$_V@E@kb76Y(*^*)H
zy(_*d*LW0JJrph?l?A`qxpS<0dFZ$@zS6S&8YiwpjKd@HNoiF6=R6k7ZFUZB?!xtf
zQl7tm|8Dh%#YY*bP?KEwP^6tW(vuf^s2ZWFU?G3Jd2zfRp#uW^{74{KKc2mo*w)?1
z9&+tx#x6h|Q@cz%hDeLm9_hW0f$NX3P9+wT@F}owOyP6pD{ikU*@gWX8BAUkQA{Ub
zL%EK*ub|o<Kmk;eL*8Rim?vF$bYnChslGC9$9}UppSA_r0jRazyJ23?>5*uuhu%yQ
zN$S9VPK!!!Bdwv8{Ypr;B@a|5ix^cP$T^VF{HLF|8<BzeFEjI&MG^wnLM+gcGWd^4
zGLPhEZ>IyCimMbfdRiJ!&SaN;G5*_B!H_Fr*=Ee;j~)xcE&jI$0F$9%gQPBIs>6qG
zo_sRDybSmXsH76N1XTH=ERbHs$>U5E6j-m=K}{X6EeO^UWD8B*L)1i7RizoECZD~-
zaFA!L;IdAa3+lB+t=JkyYuhsI5<hj<j`nC$D!Osntcit;$wiN8@G}s)=ME8n1C!#U
z`#eCS;78yH#psIX9VjfA9=l};w7fwPcRK&tEbR%+W51K+T=@f*J$LpK?!&_HdKcll
z(8y;a0%%jt35B}X7?_ltK1-8DgsO1-8uNR}PMb30R$D>IlFxg{mDkr__VeBEOdpLa
zR+tDY<)muB0s{~%j4s;2!(W#u=1!>8r;?a#@!u~um#A5evFbIhc(X%7yms)%%s|$Q
zqM8z2-#NwTly?=qywkzj0h6Pm&+Q*d=pX4+4D-KnX_KMY%WAdpLlFW|DC{148UnsC
z%rjo>)Z#(v5F%f0?a2HqAWR*nIOo0MddRRtJ%EFaVrr+63=_l%Sz>@Mp^s}Ao2^=B
z%5jjqEPpFu<h>WKLjY2R4t6NHlQ`dC4TQV~@O`THXgJ~~o}^yi2Ra*$Yz2ku;68Ac
z0#%m1x?_F2`hMbJNvsjX|FgA3H}(CJ#%h|>qn@#e6NGBXz8R5(8<APUlCHFO8fxoE
z@^ro#sCAGAU|ZcK$$`xt9DIE9r4bcx=ZT3P!;;}y=UB6z*`cjXFUZ=#bS3%#5ww6x
z3Fz9Um%n-QAr}3sZ&f3sxxIaSx-~uiJ2b`j|NoRd;JwZn8ZuV4uywU`boAOv!{+n)
zb#F_{Z8;X;z+N66h(Sdf-;eQeu){aifEH<o!xDQ(gP)y~v#q6NR8IWB0mu{H;-9Li
z;X^0~Iz&k6d3dIO{d#7w57IXhFxQwOO{>>{b3ug#t0p=UadCpb!(WcSa|iEM$o7iJ
z(=vDZt|&;iTp~cR^L$N*m;Rx1O#b|6#qOs`sg?^zf(qB0`tKM22LV*u`ZbNs>RyZ{
ziJcn5v4Q#oEZdj%qu560@ts#QoX1SdR&KpG-K8aT;{GeJ{$*=xibFM8t*2N|FVYOF
zKESxb=~OsJ;kZF9_c|mo`>{EYIzn`>)pu&|g%G~hnjNZ<uQ(aCp}Lwg{aevHvvlJL
zb$!c&!nF&W1zG_dN}Q*={mOiP-rltzN%z*)<583JBcb%C7HIf$N%zqbeBYABH>9{G
zI#|s%lf9YeswlI5suJ1p!(lPxmrUd=WL^`UO`?s3@ku2t%VrTPygzB1_BHl~rvDB_
zb+i2SE5xyIq3gIp%9V!_Qz_B(rwocmo2O&X@4Uxi85eveOxDU+PX9=IXoI);A5x`R
zT1@}M3){^9Z!r``uU{uxu&JsJ;r=>bbUBVQWj`Y9^iWiOt#omI-sewoZ~nJ|ttXjW
zl2QMs1xP1l3wHB+*VsrDFc48CB&v-^dCw^9*hX-v;NI$&zB@2%85(51vBYUQaGUGA
z+;z*JCK-g+f)*D(=^4KpzYN(19(TX|mGQlD+9!GFW@|gP8fXiKHLNC)jtK!#siiK8
zS<towjceJDi@u9Zdh2?%sY<w02wy$FI01Z3#geF<(Eh&*o>d*_i<VYsaq(3MdKz8v
zuYbo}gN#L8G|J%GL&&9IzO>(l_x}C+AM2loXaKKW+0&;x0-z!R3?H5t#ia-l&;#p!
z?AlS9W2l3D=?Jt%TM*5W8<5OGG=sAN3(-gWtD2f20E6HFr!4%)Gxim&uJ~hbX9unO
zBX%QfNr0DuL?(Z*-dOY{^Q`+3p^@3TFW@5KQe1WmyQ>D?(d(6|9!TQAmEIGcvpRyR
zPTgGms}D^KO^l7XqbK6wXC2(<2yg&Cwke(_2yM(XIQ^U_sV%v`PWkN4v6yi`e2xdY
znJ2gM4!!kdyR!7uVLM@aX!q%Rak}AA+tIJ%x4CK)a<hPXx5Df@S#>7qG6q)lkS6L=
z>cT7)Bs@0cZ?dv{p7taZP^(<HdBJRZ9XeK3zKOy>21=cX=|bZ5GUV|2Kv(v!?_As$
zBP7MBm>T%YN#TvgDutGM;^t(!%5J7=DgJ(Or)6Cl0shFruEEW@?*}!ZECVw<;%@g6
zTjL;PHYq2)dJQT(Wwmpozv(%?SMxhG_%-^+6<O7Bm%U4@B-L56#&5r$V4C?zfk_-)
zGtZ3*Ndq*q;8jgrceYzmRj!l7fbj8R^Nt%_xVi(utRNpNHqTWru=n+7l-cme4uTjJ
z##_%R@b?CR<HJ({%Za0pk2V#AxDig4U^q!V?AUq>XVRidVhDnUNR5=IX%-`RSuFmL
zeqG&(`s-Iv4()%zMiu-5JPEK+mX9B^m4mM}?^v!0pz!C`GL$DEt`2cC=bv;#3?nBd
z7L{=8zfGp}74~7UHUt1c|G66gH1Wrw(;$`-YOM5h0#bjkB778R3~uxqb6yG^^x)t`
z0%ufT|G2V}i_qu_G6qZ&G4K$GHc)X$Q}Oh%g&c#lS6rN%lhec1H9R8XAR7$?3(%MK
z^c>>j8{tpeBO_CSJ3T*N{LrCdU|^tFMMP}h5E@=S$M4I=RxQ8Ky_>6BcRr%x<LZHy
zKW!nA5fH=*{(Z0)?~vOrOM5?&dpfYR>S_V>1gVCyb9;Lj3oh+1EH2*j3?f<jW1g!Q
zT&`Y4ti>X=L`8b{n9Ib(*ctxWF8(0zj9h2!aH)1%)!e<an28py|NUd<J*nc@Q5)@e
z_fuBZ_H8|EAFCVmWxFB|5Kx8u^XE_c8F@u1@b1Qy+VyY5Xk$9+g{!j6Q1zq-dBj-w
zkqj50YPigDQHJ}EpFWW62(@r?0!IRgnw!YW{VrojcEVYPQ5V6$>r~shw{}Yml9Zph
zZg_FKq3>-?c^o105Fo%d_<ejF^E)Ho!99Ddzsen-yT1p}805frx9k=pW@`Dr&MBz;
z<uX=It+4+2iGoGdX1Je6%~ZB+qdKzBsOIpk_ogKnlZ?1h&&BtSJS^_sSK}Cs!=dtU
z^VuE5<;Hy+)aF|-uqf9v3VOraXLR^efZ=%Tg0+<u6TmSZo+_W^E06V)uem)H?=!tM
z(fLH;$Qo@!W24#4ZSm7f*<P~N`s6{R2u8^>^a+k|*?aCFhCRqS=#*xv;aaIu^<BdY
zJ4USHa{3%w_sX=Oqp2x<_dk7z$lc?|!Tf7xxe^;-<|n786H#`|2tmr@BiN#$hW+#j
zKR+staLba4{8Q6HrvR~vV03qHuhw^t3;u_sr4gSx>s|5Yjhy~jfG0gbbo%@4oSaU4
zzhrHV$0S?>ckuODE)7Q~C!mo~ctX#Za}bRW0>-SA-_Q=8XGqO-qRBv{OnckpT#gw_
zoiYpD-BiHE`(sba-fdC&KY@6uJ>U1xOGKfB<QLEItqjb!&DZ%ZQ0BNHA^|t-Th8MO
zTFPXYpF$B=;qG3PB{q6XQibhxHcda@vsd0f4=&_@`f@SVY<U!Wqw~_twWPG$t2qRh
zd55O_YQ-wcKThB0_Z!bxDX@hkEBllf=C(IA#Tt#>QydWu4kXVQB+S%s`@Uj@00c#{
zoPI#KY(H`xyHI?3@J1NbQS#%67J+KC60*n#2c@gVt@OzsI-c&m`P}U%jSECTqv66U
zzMI5;A4jncE`AsBRKJk5ZM+sVgXKIiH-Zc3MneU{mO_hnSVzS!6XU*%jq|RY;qU9(
zUhpZ?hd@(j^6X`(`-X$mjjVW`$Jil%^pXDgb(5(5mXAwJ)cRPke%ZV|Pkk?eGt|s|
z=A#!h11>IlLh*409|(rNAz1}AOCMil3D0U#+J6aklZ7b6ecLD9w?B0>n`G!`%*8a)
zQlZ}m^=NVo@E&L*ERs<7RQ2@s0{MOS?j4S?2Np@-@ps?2x^VplMlV>e%gfh?%FX{<
zO}1!=YI!FyB)?49g3O}`<m2V7uCsbtuW|8WO6Nwb$2KOaVBEVf(_zm*GNgn=j0GFE
zSu`z0=Ae@X&o9wYkMj_N51zr+*5jfqa3VbH`0?cNW4LlaPs7l7Q!N(jWE^{qCRh|m
zJHeMA=^eK%2$<$vxXy9dH7H0jx*lY@9a%NE>TAg%r*Q81w@J=AWde-%AV@TK?>XvB
zoCQj$AUYG5kPucphw8ucm-9@-rza<iN=l%xKeQAnSSo=777$XRU6o=YZM1biXxZP;
zU3_yFS;uF&DN@70o_apuz6>Dzvw0YgFe0yaOin#wy<auSzP)!a<br9PaFx19wUunG
zj-1B^gmN45(h9n1D($_!UTF3KgoVXxzlwS-Tjc!Fs@+<r(knUOUvIv%2N<o%mu&>z
zn<=&T8HB%`BMX?l2W7kcK-pEyQGgRBQY$j#@%N6ty9+x_<Hz;c+MmCEkxG90Qv0F3
z8T_G>bEXYJ{>kTR%-S6gM}ZJkR=%MnW7tvTGCHO7lV%4c<=dd0ZMal`4?Tc!Z)ysp
zEG;EvGDIPT&u?u6b8ML?D=A?%*FI=)d+$GPIvjb5h<X7r)GCz1%uX>cRNYGX`t8ny
zx=d*~ozo@}S;C$DfwQ@Vi^uwI&o=!~-{O&diFOijC#<I4BQMvgffwQVN{|&$sIIkj
zXI(P@ZO3a}%G|Q+GLX8ui0(7``Z#YRAK=>4M(*8-6N__mWuw&p#0$Z5F}KF#?u>JB
zbAu(r^Yi7)7g&O^%r=qV(>dC86MLr4<J~Ce1Z=IDg*BE$5{)j%V2B>mP7`Bv1uwTW
zKMz_Qkl^)7?9XPHtnTUL80=<b#6!4~S4Cy8xf#N2D4ilLlHemczOvT-V;&O<lA5u#
zDnL{P;s(m>n`&y8Br8pwZESkKe4%D4ZEfR?Q<^T_VScV_#)TQEIA8z|g%n({_wMc5
zOM38ux}Y-S#6SIY4+Shk{r#7UfPdrqKJY-Tr3x`zXs2jm;Ew4X8agGTr?2GHaIcvZ
zavb!2D|!BAi>didt{WayO#hO?QRVh?x34QLAEbGB(uA=l`mSf=RTa6{lK=ML=R)Dg
z8jgtBY3G?uamNj&9E(_^tmh1klO((c4$Ki1L~z;=Jy-~m+r)c*?d<)EXBpiPK%#fd
zaUrf`MFa03{=Cav)uVi178NA*y?ZV<PCQUskpJFtL!<9fzYRWj2wp(a<3vY<IzF5G
zDJfj+?DEco71*`s*T{AGa<s{Qb!!<Idn{BN?~wJ;Sgq^brc7q^*0&T{bq^kJoc@ln
z6)ry2P1=K*46Ggv+c?H~X`3&<e|W7X_dxI%QB&*s<9$kls?wb+aONjIe7NyJoeuY0
z^5zLt7{Sr^(1)e->_5b?2xz_w%uYFMrv~gTr1z4`3R!B&+)^qWy-sK<sO^gRFc_6A
z5zrBMGq{{=Dk)OW`ROZoZ9IS2n}R&T^@SPF^zD``EMvJZU(U6Xt(YeVcS_LFw3q67
zJ<$^<21Gx7Dl$5F%>4Wk23{=WgM$eN+=&bq7>4&z5K-Sz;$UIPHp~q#KW$?2u#jy(
zlDlk)v(m8&QDiOV8RA)hF$---!^0539b;~*sks?ugAD}Z7!*VJ0|6%KO<q2}n?ZvO
z(Oj^QJ^lYSUemc(+|Y00=K$@JtSe(tOKzpC%up7x|H5TttmPTP#sq@BJvzQj%BrbD
zddaJKEP!SG^@D*-fG(jtezB-B9vd7Sj9`@zqU~$Tr>M3)a}1CF-CU|O^L5BnD|+To
zX*$%`w<Ey%eAcI<GAH0;H`pg;I^S~XCMRN+@N0X@tW2HOl{>3nY|hVJO0s+-pkg1&
z?iHsi+#z-U@!(X4tBJO@HVE2OrO0_@tDj5K<Znj83r=@O4?MBYgU;?s#cacaD`m~z
z0{>hmnHR2<K8A1;Ap+;m!-25A9`j)*H9_ypnR!TsKlS!L;C{Hg&$N_j`K0QNM{jl>
z?+qN6MBXx7p<}LdmgznAFa{6y_fuBCr(oRgvGfy`Yv`n$%O<j6*h=aBVJ^tai#W^$
zJxU?1VLeKf!H9=CY(@kZuj<8Fxy~IKdWeS5=&niw83b*{)KHaw4TrZS_mxwD@nUN|
zefI);{ccvUV$de4kzeddE`-7j8}Zqu#;W|f%wsd|>RPg%<D&y9fd0ECJhnEMtF9?=
zH@f1U!^n<GlRICRc_@i<UlGK{ZLTKzO<|t5y0Z!eI9{Gv;-IYQdqve-wL_VjEMlT_
zW#Mq2F<sPPYRK~mqYV`V<F6x~KgGFyu5=z7l>cl!>xGz{EV361pAUxkHNRtBuNj*q
z3QUuyPG*>}As7Z=Cr)&^T`T72Wf0CKFW=wT_+#3Xi};X=+}%o~*|`&?7$jj45o7bK
zklNy|#Vgp+5u=NOY246=rF(SK5FLVP9Vq)jKNCZ^28Jw9^n#3t!eS(a%L>mvaBKwS
zfyU;ghZZj0xDYTq78*R-fTo$4;LU=`{2!fcuC3iP?p+4u5kxA0|EjC2lako<e`*Hh
zgN_^7V@96!{oPAPBn;zIwU)UVxm(>YyHK?#O+x5#jGSz0@kB4g!U$wM6IjE`!Y4%k
z>BwD~^wQF6xC$ZuF?o3@d}0^G5;eJ*|6uPkVXJ(E=rK$(A^WAFk;5sEjVV7rnsa1+
z75`&!&`)r2vZeavZ%jG_qK0hks7u0Vxt7#~oygi6hJ^Ny5=Bvcqi@?J+d%kiA)2yd
z$>P1YJFVzfucwMg{x=5w3<wRcgP6hujw2|oQ(DIW`xD!JV54kgcNeZ6+Vy9kFD2qO
zi&7=SgM%*J<Sv|U`&`p^P_W=xLfNEbIc~QOa5~TQL>L=}SA(_L$U+V;6Chz<_H=`;
zJyu%~t237!t-#e?)@+xNBZAJv{uS2V&Ooyw5;c*40_rsb+v$ea{sc8$$B!-@zt|66
z#t(t7zp{c|!a2ksQl;mEo}=S$h$gQe`^EWdauVeheBZ3<5YHy>@u8KnwV>{h)Ehf4
z$hC+kctU~@V>poOc3qXdmuJkpM}n)6i_x;BfL{=j?5Md$+VBKnX^+ufPQ29Fl<Hbv
zf1e(_HFvr1_zNE~!A~}A%dWr>mcC^?dh|{IZ-=WKCUnN|OTZGb4}0z*0Ldz#D%iTU
z=u=GsP;V{oweddtEWJ%bc%l>(6^}6~s-&IbjCyeYKGp__!Jo<hlvyojwV}p6bt(q#
zM(p|y4*Tue57~7Ic2Pl!%B6h$qq!uC!7EKwanmEZ2H!BK=6^OUtQ~UEMM$fjoD?XS
zf=dV_&VL)=BPOF`$HJjwq^6$y^9Rp;abaQd0c)x{Nv&wkiOETKkkH4DmFgD!<&O)q
z?uW=3`&d#^9~K}-I!d4#btgzkBx%$cLrDPc5P2eTA!aHus>=edQglb(pUnw5qSdgN
zMD+h4DD{iEBn*@?`LzRQTpji$blgg0I&gCM(orCfNWVCAfwIw+)hb%!-y7=nLevNM
zSl6eB#xY`#<(q)hh=-Sxv&Gr((K0S~Qjjr@{@su^$SWXVx0Gf+53p#~^Lx<oKVihj
zbop^d-SMYlrbBq>aW}twc126Z<Tw3qN)jH?(1in{7h|3ouB@-CLIDN#*VWyf<8iGn
zO544axKFpee<vbGOG8sJQ%en8K0;_LR2V>x6bTd!%H1`RO-kV<S2)G%E!dwK*ZiO+
z=0m`QMdO@8EQCXq-EKJgg9@md;?GCKGTz={_Ped7Ier|Cs2J-D-xx&jY?J>9jhvpy
zzFhm(2Nq(rpTErXQz^+&@6T_1WqbE^`dN~DI)`A2!C*Jm?F7d!@-(u!TaEvIu<=0=
z>5yw9*SGq)=MN8Evjsbf2mN?K{V4l)^^+woC3SC)VE%zp{u<J(an$^9>&|62Ceh4z
z$Yo|`Mi73W`4EC;LPdwiP>LjrqC5R>5{~0nt=!{h<~p9{=AsdaYf8)a*v~(IK$2aA
z+XZ1c_fCIGJMDR0d*8jc*zQ25S8*;s))Qxh)*ZQlu%poJ+_{^E0-;s<Idahg=X<ge
z`(S7yP6SDvIDrt!&rD@yX^Eu?xhw&Yi-&6*5&HK1JGkm_jRTUBMD7Qg)C6k`g4+Ft
zSe9zcCGV5Famrq9V*~zEY<vT?IsXZI;6Xf-i83hU&#n5Z%(gYRv_K5{kFD;peEL(L
zft%aZ%xtK;`^?$1hk##}n&j)}XiF)_B}PWo=<;>)5J0zp^@M_lAo|Q&Q#@}q<Dc=S
zAxE3O_2r`{iTxKb9V!Oa%*=3Z*lbR?U!$2yqLB~=+=ZhOh?jKHcYC0b*8Qz(g~VTT
z-2XQ8uBoZq`fHpF41D)=+J%tA**xxcQw<tui|f7%mD61Z?yMY6V4jd24eum*^5h~L
znpUfH9)l*ozTtqQk$b1!&U7z&0>)qTryjiRho2r*=K0VPWJ-V@hq7wCY%>3#81unT
z(ZtkwC`=F0IEzzsd^>-QCiM;F2{*_0$X0On@OTvya|(0UQA(}cp6n-2=GiJr*)lDt
z8rtN(#)hTHe}+yHclX8WCsH^_RX0}xJ6t%pkKR8Py0*gWcp)&@nXjnA2ch7aWBJen
z+aZ;klzS@W=7lpO6JauY{N7j7X<=%^O9id;``J$oboPSmkt-~1r;2^oP8>6u=fV<-
z<t5U&=<ezC>08V#{b)M_2A5-7!+=@xFzs7a8bWu+-NL4GVp<odpAgL1G*(Cg3cs&)
zW%k&kW3l$7qrLqv=$TYkh67QRcPd3;G2z0MYwLer=RSM(bnWP>nI^PmkV-$=f*%Ob
z7eRxpTz9LPNMHmXS=F+XWW)4B&^US&8#C-&5U4|efs~d5#A3v}yc2j{URT3CjXpcv
z)?Jd3V{h>F;h_xTCuURPHHB*3#s;!S_(Lj9CH`}1L~|WCP8Qm;M_xgp<<iUlTf=3P
z$o_WK{`h}Py?0#C{r(61jndwG4@r_HEe$FS5rvkt7txZ2wrD5~rGZK+E3~voTcsfh
z715q(Y7h7G+x0v5ef#5_bDhV9`u6#}->=tm&g=FqW4{WmiMxM4`jo^q@fN1bj|UuK
z*yaurnM|I&u=B_GC$<8Fe<oaz9kSO=KR{U>Zx0dygr|buZ2fVzmr@6qy6RE)7AN8C
zu>NOaeQP_n@$~l2Q1-o@eG2m>hO>doM6G%^q-cvxJQhLzrUwIWy-K)Ei1<+9J$C-p
z>&{LI8VH}dZDUmsVp&sDW2SPdFY@PM+!(!Zz`)LPv#4lZXSWOH21KLd+9nD{!s23)
znSj}!m?=|7rWj@o3mu8F%oxo=OH-EowqV1j6+r49p_tE*gjo5kmBl$0e#pBeS4i$0
z?9Yxt9(t&T#OJue+<vl(LY-vOPm*H?f_5}{UOamy#9LnJM*~}wKZ7!K71z6_Ksag$
zS0nKo{UyE@)EpyeHxuX9%1ro**=kIwlI)M~-Q1IPh)C-dLEf0|Pc#Mk&p|8PdExri
z3_ip21%tA$L>YL4pT;}hzhg;8_%J#l^4P$cq~F7z6T+6gds~(Rh#9D0u;Alw+EvAP
z!($~MMk5GfkY}zClPHVpi;4DFUKe+$(SO^EXx2$=wm6PZ>g~{)0%Z7;ix`#=QeG&s
zv8=g^?O=pL%GI^6rw1S0d#PhqRszy`cBV<=`y0MmVrhY96SyHr0Wg8^BjJDS-W_h=
z1ARA+B-l?<kAZXc@F+C3|72f_<*~D~2tXHfI+!ID6w01GyGes9D6|Ioq}tndHN3RK
zTsoL@tnQk_{p5p#rqXx$2S2NYpxc12ps<h&V6?Vjot1qiJ0+ntq9H`6<@^l{z9l6)
zg@uWp{1JZAtp!`W<@OI@K|yODGO0#)yCSK!fBD^e=4DLTV(BKXrk|xu<5SloS&L@I
zxg<qXm;H$N>)GjN;K&j5>gXuHx`#M&71~Dyhm$)FRdUX_UH=eVb+lm0@$~)!Z&xRC
zaaw@)d9-j0-#@`-`#wvlYFaub&!wf<%Hs(Z=@L7`&%BSDs2cS>oLJODnWP=6BK?(m
zq>Y$BjY$Q%6c3)I{)H5|*1Elyc#M7qmwH(t@e*S^dkKduW+1FX-(L?{J+0Ks4S&c_
zQx|9F-fWu5N`(Fj5aEJ_rNnz^HF>60<hNw~fFXG6M=#!Os(0(nba<pp#h!W5ow}W{
z%2=tqm}_v7Hq08<^nLAR6i}0bE^2DWynx3fd7TaD3(~nmea`+`SOv6U%N`E;iu%JW
zCK5a$9t$5kJ2kSOLv|1|g!e<&Qq=aPJ8Ym9d8Gvf9T$qRAONsJZb$YDV~}XRzKZD7
z_OrDyRad_TuNj2=@1<jJ-W1wpi4z8^L{<mhN=+>-u{%d?e(*3e4~>jmd6zCPArXTF
zg)d*OczHFvd&hYzT4%0My4vw>cc6vtRI;*wj?LMIJNTUp$794(%EaO+9+{r7KXvg%
zi0mENo%NRS#A)%L59a^#LVU=886B1Lhb<=x-WTU9zUP?_O6-7}J~)`@5MOPp9goyn
zzfH*(t9`RVlCQu7;=e$n1)T1`U=*?8@ShV%Pp7BXCNRvoU!w6+iy9~9MY!};@;X)u
z$GttPHmB`u6=JaW14-O^=IRH=-Eo=JF03bhPTkjH?EW2mYFZ4APy*ZW66N`r_XL48
zwZ#tyRc~Gh7;3-R;v#p?Le~{77vU$FDE9?Fp%7&g7gb}u_{3-Wi{HKnPuLmrGrNyu
zM^Jnc+$McUo$Gw|Qu^^eyM!NY4lV1O3f88#k86^$Os{MX>~1BR{9Ia772DTTUE?YH
z^5N&lTv9dv;UIAn?So)U#c%OdX{^5<yP*2FP0!93jh7#M6%Z1#$sTk}6eLQY%Y{$~
zfFLzKzuyHU`^LVX@)_RQTgB+?omI(ePG{6dZaJox)^c}dhCK8J1AT_JX+k84{5s7I
zE(nRc*6)-(dep%18)pJGjbh#m_40TaihO*1Nd!iE5#ewsW^8m6#Q(okSt9lY$$Ii`
zfFXHZ=tckr29GBK+afh>D2R}o@Mt)=_QoL?Wu#~l($Zd>7Q>tM=JjiIXClZ9msnGJ
z3>Yz_uRz7={+(Mb&>v(5WGwUZ&aSRtGO%u7=0++S#4NdAuKN0dtzFdmnTP5_cmHPK
zfefry_B>0i8^ELze?hcC`dgNhSzU3#uM3o9)eJja?my5{|Iu>%ts&#ldxYwrKd+x)
z*pe}i1d)WUWa>Z0PEAe8nUuY~--ePYA-y{2KK2c~ENHUF)oZ}?RC^4G2X-6|LxKJt
ze`O@=KQoE<kltcL@gUw3W7U3s%Q9RhDpFEzjikM7DzDzFN6^L+4xzF=?ktij$>NM0
zuC`uN`uofZLQ4NwZ2;XG2)BAAbou)782^WDhfo2*+8a(8;bA22p<8_SYmG~NaztIV
zE$In$M{Wu-e8w6czo3DD{jMB?)cX25vVZUuVy2n6!ET{|X!r5UU{kC(Mx!j_&K-EA
zD^_=xpJ0Wu@+^9F=|lS%_9X5-BFaK+;oNKd651$797xFi0L2K*PgnPSRA2wt{$rG+
z8Q~Qdgh$o0LSg)YMiP~A0o*gQ%n{uF9bp#;+)G1y7ju99PYck(+&{kpl}c4f!te2M
z0sFU<ka*NN2O5gX6VVkQU>HwvN8wDuApx4>>RVMw$rD)}<_kr1|DhLE^574!tAXx=
z=o7yqTS@~QKBYWVbHct+3~X!;*47Y$0Sc@ho5#NhJxE(?D@~;mI%}Y2QA(3QMPyb7
z+z=(Dr9k2kOAxPf8W-Bo?4x6;wF7P+?ki>)K80#6D=YjD>$xC=tYQ%A+M20H(E4X$
z(*6B=RMhR;;7nJ>;&`Pcl5;yJ!nzNg)2-|hUHBd(2}`MhAkCqmAT@-~W3bAUDt)B(
zhRL8#Ip6P0cK{o)@+&M>(e4m&Nm$>IO5wj<EDp<&-P3sJr=Om_`HP_ylQb6fc;rHw
zXdwCw858m-E4$t7KLV6R8CFpE>izua*A{e-(FJqz@1kwWBMZie1PT1O_lt@k|63wG
zGu{m;F1*u}mX4>3Md1?A`7L9O7XydVG=KH;lN4mhX%8J|`!aT{MXRdNh07v=69<Lz
zKi0ra`TG(l{;tk2$TVA@Kkti#nz)^K34u}~tQ>J7Flfj#XG86Y;F*<kj`<%?>!0%w
zgqRAdJV(byspylUXo~zn)typ!@%OKAGh!d<I+C&j*TE@~xjC~;rPCN6e6`qrXvgAX
zXRqJgnTAiNVCst>9UU8!$At^V$*-?YjjjKuLbu5wbgrBFjO~8qWsBUhSk={WQEzSO
zus0yz)%@sKn%k};ybt15gjO<vq~4-Wr(utVEU4$X?!KB-p+x!60XG=#(*qWJK+{7B
z%Fbdut^2Nk=YC#&`emPh-5=Os1_@gDVoZ!A3A=ns><);7Fe^6I3^maFYVXQZ)XT%9
zXof~d5km}XKd?tUe6UY#`E3FaZ=nD9vIkeDkl26E>Ay2Lu7IOlQ6jn<pmawJ7G%T-
zH%Ct?A;}*9h!RYcP2<K)NI0dbd0jnIM_0Gw*8&hR0Pi$)=+|YmRYATFKffeXBvKU+
zGK<Ly2wgzHTYv_1bRXK<cCjA7cPt|-3!(vKF%bU;PM35Y2&o%DOEsoiSpI<-phuvg
zK}#bSgX=Eww7P+~OEuj2MGj?2Awc3@zgDW765R6^)IXH`PW#cb=ol5x5NIlm<Gn@g
zh{1MHD@jP_bbGcxEW4hlUKp7^3h#=o?M}E0Cp^PssOkjI_jRpL0wcm{L#!UX+!JXl
z{gc_8E<0^Il-2kJ=u~D!O6q3B2$Guc8o^T1D<XMG(^|#sjWwD);oslr`?tX#+qiaa
zuPaXW9yzG4j7#l^S!B48BNg2Wq<;*U&~YhA**CM;e%A$bh85!OXk{<gG1|&uTXEw7
z%d_tLxpDlXVx&&C+9YY;o;`{voSEo+3`iL2Z+jWjOQ)9FCqQ}HlDwcR|6($~y;5&m
zofHl^tcG}IiH22tvj~_)sW1G(prQ2dD<G>4v!(XySqOrKckMbOM+*ko$G0I+gM4$^
z_U|(Y*f38)EsoAbOjQ*;jFa{@Pc}Fe(nB%h;jd5Fi5@0A;M=>8x6Cx#EXRf<9Pm$*
zmZYlTQ@G0aZdVSDSDbn~1LhE*iKi;Z{><a3nF(os-)%TUP3TxQKyWr-Wq4<EYN1B-
z(F0D*e+WF(fhnd=3K$_#Wq~v<P+p*pvE&TCi^7#ja8tOCZcjCAL-4wZyPRZ^r%6BP
zJ2#AN2eSGVt`EdLIXj!fuMhT0cb~QsR3i?W0u10MRivd2^12>BdIXoCH{fOTo<ItR
zvxDoFh?v+>B&?ye3SG13U0rua+AN{p$92{8Kj35K>}{k{Chmi{06RV&L9pfBEV+P^
z@$Zg?Lyup3ol?97`?+(m8ID$@2PWC$V4>Y{6(=;#X&mtYcFZNZ+S_3bjkQhzorFA#
zBzwdus9`w)?2M!vyc+E6jxy`(4d`5$1o3g_C^Z!o+LCX{VtHlVldC$+^6*GJZ6P9#
zeqFla!~~$v_N<s~rVBK`cp~w=Q05KQoR8oo&m^#4n7PDsR|%(Gx#xr-{2pLeG=Fjr
zYHlHNRbV+aUKpWf2Vu6_le+8ldHZl4a?4#rTF<=g%-8LqyRry&iMAujqI>reqjolD
zV}oea+&%Y+0oO!4IHF7{D=iQ-)zgE|e#-mE7hrr?EQsOsQ{O&(aDn#3yVt#OIzUzM
zp4ctkh`-W5G7E+b<+np~knwMQjEHJIdg3=%C8a{jM;F%|XCA>vrYY3%>`bmsq~wrd
z>8n>4e^&II{BlEpDYEHQTkgSN-eg|ON`GIVBJk1|IUL8i5ghJoKrtU?cq`E+`_7)y
zOW$EU{|irV%KdT^af?d-72I}Rf9x+mE4V1q5OcVc>G9m`djn5&f8BB+L)bBh7FA4}
z7$ueh8~!qsSxA@_d(n@+YD<x>bDKdp1`=07e0sfGKK}X;S=~85QzN*DRy)bc<%a_b
zby8vEQeoCO4B-F;cXb`jvxv<oH+(lVD{|ugGEpCflnu|SCGVQ`J+UP$&3(ZzX@~ao
zBh|ncfM^}{Jsn}03VAI}O-%Nap06=(A+cn6c^M51STdbeGjJjRoT$stgN0tBm*mFW
z(jl=s07=<`%ga|@l>U6y;e=euBXXWV!sP+G38%M!4ZxwFC4A?9Pwyuv0TUDJ2i$;e
z)(y=<Wc{+k3B!T<Gu=HbHz5JXlQ1;<%Ir^lBr{qT@K|9#h5>BLamj2D*_2fbA#b*B
z0tjH>H_)@8ViIS`elEC{P0(*-F5!LU3U~?VwUxc6c=puzwdJmFT7VWu0uycwP!3Qv
z;K---yMzZv*r=VOPVaibZ||K0Tb<6VtUFJy5OCfjoCJ4F_-`w~Jul9^Nm^FIcr15-
z_62K+&#cXbNF*(a2I)av1;7x*<Cb9zQ>b*}3XeMM4QQl#x#E#;-;xB9yF7k*m6L|^
zP3HEZt_Rv7U6w&V>;}S|#|4#1(FZXQ&hLQkfVhZ$o6wi4o=qgg8308E7^14?^!QP4
zxwiO+(t3Hym-$61tH}%<Ms?MH>z8F7%?4nX3q<B1==KI@Z;Y<sA||J%RPCNX5dbX#
zVj&bwhtf@!V-Lq}+db$0h=PD9lxnGC$B(xm7Ym;%atkqnMqXdUSdG}OTfCt!+G~Cp
zGI8k-4?JyuaMG4Iw_c1xZn!Hp_2pSb#^rJM{odA#7shKgh))%qf9vc1j@-}BT~mzj
zcZU{Dlh5LN<Rg7ja`LLhZ_Z(U$TqS^EI_0@!*A=shcA9an3KuM4#11d8D`C)g%T=5
zE{-q^bI22EZH?xjA&f&R@#<Cf>#i?{Wr5V>UjO`6X!<5_V~_<E-Xus~9wy&%b;Tj#
z_WO5dYimYM&T_Yb+Fu2=NGFB<rQc>oq)sY9B(*R<=cJ1Rv58b&9VQwGe*po)%L4av
z8j`h8&W7o)NSu2l>W!^*!;XDFmKAv??0JEr2H}WBNyNY3<^Mgq<%jdd?<FK`Cx$9+
zp~7dfI#4<q_QX=W1)~|zF5-<rOdrB?3&|(Ej~rnTf#H-LoAtpJmyMXR$e0*84lz88
zKyxna=R&eIs1KOB5Kzv{48J+14H7t?HYUJ0<I%?j2bUC*^ngS_2FB@iX4qq8W)m1-
zRU>eOA;K{Cj^q{$1+uC(%Cv*0SAG|@|AZ<R`U;HtpvvCApMXx)EZ>SGyzc3fCrvFa
zFs=$&=9;}wy)t<k0vtT4i0gxGaH{IxCK)x`$z2EsIk~CN!p_e9SyE50#X#8=zvZP3
zCC9m}Pfq)RywQXnSfV{sMJW3|G)sE1J2o+qC1G3l!r9xz-VSJXxv4A4N#}P5!)7a#
z#glhYTi137FVjz;gnQe!NBvhp6Y2kD>AjEBH~Ztf9?w^I5FFamFO~5Qt>MKyTYTY+
zqoX4(MPw}aDnMw;8OWNZzl1y$JkD(~)w^2+D;3`S)2oi3_gTFRLEKxYt{YYiuj6z5
z``5F8)9X3c-IO~FG2Y38sglHC3qyf06Dr)bFX0Tz{esvjywgBTx6il*hwi%jT7Xfo
zn|G<+`kN1d!tLFC3Le!wq|gUUm5<4}^rGqX@AB?^hT0k`UXQ=e2m;`ovFAxudNW-d
zb{w=IseaGJ#5mj>m}59GIx3RfLfd{G9invu5GLTMhlEdqQg^OwU!|EZYZ#M|L_
z&r3?aVxtuZX1o^<Z3OWMfA*}|tr<lXUQ@j*2xCDZ?YX+t{U`@XOyuC_#GIxh{5mZ8
z!O2abXm0tJaH?Rv!!3)rCOnTMBqTV+cefP&tK`N5@N`V0bEZwVq9g$`x#Q5#5T=WN
z75_Iul)Hn(j6a@)@f1TWutV$*KI=rG)@V3XtY}fh2$I!dXJ?1x)}bK{z8~1}bZ#Oe
zA7Ldjkf80V{|`AE@hAtzXd(`a7KFk0F=78ZaNx}UPyw%3?|&Tn{}#NnXMbTbMQdyf
z1{1n)ThU_s>Tlm(7Z<a#@0@gzg7DVoXqaN$)7wX_XzFn5EH9hSSt0yocjiaT7((%)
zJ9ld27(%9kgjZdN?^L(yO*{eToqDXlfym19e@uuVy`R;^z$U3<o}Pc>hKa)rPG9Ib
zwv1hX!4~`u>@FOV|742o6|ZFFhZ#4ifYnzFc#H)Hc)RXF1_#pHgrZ>Dp0tdP&yM35
zRdtB5+t_!}^B0vphMSO5`_k<YUJGsh0L*A=0lwTGxwy}_nUe=>>s#YA<V0}UblFgh
zffg`fTwUB7Vt8e6A60%>zDRccTFYIRD6PxvM$@&Z<K5pocso1!2ebU?4I%OS*J;-b
zzJE16a|SxqB4krcPF~Q+JthK`%WkuNUS^E8otLSX8V2T3_r)6Z4v70vXveTXKmcl~
zMnK|r8!lsvlNj!n#WPRBPCP88kW%>a^Y{b9P-_m*bhdkU0${nNm9^zG#&7je7V9<V
z9v{=mG~cD38FxLEc=pQCS;K$_AR6%NsoXF6UsKp`NS8QG)fVu;6Wr&~vJdfEP@$BG
zbVBn2@pFSVmaX$o9h>{m&zl0RA%4}?s-p;jm;n01NHWDIb@hme9JT%NWmVInz>QS|
zZaL^UBliSfG2|prrIwa1T_d9=ijzX8LjL2W7Y;u?&Bo5Y9fs~tzZPINBjB#rbu+=%
zWo<1;cvy_LnDRy~#+)1K08l!=e8D(?OrH@C#h&?_(a``DfeE>6c@Dt7AeaN|byt@>
zpmXaKtg5gO4iDQwA_?;`FYm_VpBwgW<-M4PL7iX<gA3zMQWDpsE#sN<I**K<opZ6H
z8$Mk><#13lZs(g@Jaml+)D^n}4Nt<ubC#AFnO7?yyUJ+q1D%I`fqch~hyDfr64!oY
zeibU_xEDLvnkp;n(5j=Smvz7fBHj@P?Yu5WdwW>03q4R)1vf0W8ANJCRss(-XT~5N
zSX{9{@-{~M8y+U>E<||>tc8s3bTo{AwD-A|A`-#i5`D!0777yFy}F;cUbcfRATd#0
zy1i;&tsWtt)Stefqpx4-K|+Jrmvy}KxOamTayJHk+aJd|jGE`wp(`h#V5ILa=+XEh
zS^J5zJD(q0f=p^FW{9##f1CK7pHr<lG*=&%&|-DCC-0hcG-qnjXNs==RwySw*_Cb&
zn)CJ-2yGf|nUa|uB!rIAGIJN)xA=u!b9Pl|(W-8Caj_B?bfmI)>V<~~$_ZS&{{9uW
zzDOE|vmUatf{2CU_}QwkEx7b5euO}dNb<#<&0S5!?zrHEe__<;P5m>F;bBxzrR5v)
zyy@CSyD!-Ju$oVT_VwuA`xv`FFv-WAoK+0iD&w!#8g4dVMZ<!K%p1+D4$u#Ls{S0+
zH_IO#%u9)yPH@N6I~0nA@PzVgJ-ynxRmDUR2uxy?Xm5Gvmn+?uh5o}E?p;T8Ec9RK
zO&A`=;R&z+RuG*JV0H15D5b^xmINM)hXZkJFoA+-iPSW-w3K9_qMb~}Xb9OfAPoZp
z#yTk+)W8{N>aK@{0gb`j0XaNs5z^Bku|l>IWRU+Z&<{WWneF0#{`^xwv6;`55vQr#
z8Fg{zPY&vOL1Ssn9&Ub5H#aF^kJR2B$YPe>e2f5Q%#=jXvu~fzG^3kjAa}@16Di82
z=h~>cf(T|6_PKNO--&!f^Q~;e$B86hWJG>Y=1C4FCL5>bwzjkb&PK?tyTehcRr`bQ
z(hr?hIC=iu#sB-l?0|BV6Gc{pMFTIsagMO3F4p9)7*f7jN}eYW46Dzxm?Wv-aD>@F
zXHl`Hx7Q!db&zGOjf*wS7!`hP=N@2tOj>(18VB*<fbwd6G%UUpw6yp=Iv~v9&(RTv
zZ3l;aY*f@65vAkEenD15=ZkH8+sxf7ZzBVVTPQd__g9!!llisZcd*<d9ZX7ceTLp7
zlKkHN=h8b_@?09f3iGsu8PTUd9V@$>Ly)q2+yq-nZLLk>LHx;8c=*CLbWk)flHr+0
z<s3vx7^+to9B3W!KnsJ4iuSUAsBw$sFOoF%@^S$swf8y)ES?}i8eE#69)q0nRo#tk
z0xbPM!tr;(`~crn(9C4L^ASipR{TR(M@B~%??u6ePh=Hwi0M|)fllSzF%<Uo1aJL!
zN+A+l^E3mkxO1>0AlR0Pvb)i7==+`SMP&<f0=XXShz`IHfn+rNp#1N#bJhlsb@{Sv
zMms$<HPH9Gr%$n>WM5DUhAIG?Ke`h7`T$=6!9F9#8mWLI?qy!yn47{5dwl0YN=jxq
zhL{iv#Nk1(M9WU$MZ9QusI;<X|Na#|Qi3fF<%uY`<EIa*<byc|hu_`1TnOOn>wS3p
zy`B7XLibEAhvnURQ$1lOCaQh$I-W|r8ET)8IO(Vqfsg_}>#I2UBPaQ@<h3-?jF*Ju
zP|2$GPgdq9@SG*yV+>sp?4d$@I6K9T(w~UnLXR<UlTj@pTNSx|b=32-ec|zo5=m{>
zw6a#vi--X2mxB-Mx=tcl|JSeFleT_^k(){?l}aQ8#8GC^v=sgZREsgy?}j?#MCfjZ
zp~#+yxf=+5#)Aj_<+2~U{hgy^)efZR!|JNFXb8sfGk=DMUm>;*xTX{I21Edg=<)~V
zYMv{;tFY)<M@)Cfe%ew};Ty)X&Brrx9OKVW5^#bl)2W&U>TU?Raa61j{L?bg#QIi5
zOW|yEA`^lg`aT~IXF&HK3(IGrx-?h%qfXZ=xWv~b#d2_Ypm;`3(aFI9kuTTP2e58F
zUA>~R<<wh16&Q=~ehX!^Zje++@!z+mCaLScu|mj4+N_$-!u(jfx0e^!MGg}DB%IHl
zi&kH0u{nQU5sIBKYsApBs2{lYG+2xL78?&;_~&Xu{?&y^%)9jD_x+h&dt((DQ&_{;
zr|T!Y8HR|gdm{*^u%G{XnBYa;85UlDAVTykI7#7ZQ;FmRA(Q$NKn0Xwly~m5MWQ`I
z5;8MMf+0lS#<6GP-G~RI81NBiW!VCRHG9D)>kthg`<99y5+E4%h2L8Pe8ls($~+yw
z0%N_7X(7}K=+f#qnDDoZTP80P$9P4f_A80GFnb1(16*x!w@L&J+1%f}-c7gO((FdV
z)PK`S4Y|&M!z|Xgx4iYVHCBOW&VYXhc2oFHG8c;4RY4t6&)1HfsQtA5$<)EWVu9ci
z6?Qb|TUF4%;=8SQwn!?9$sbco9(?&_NUd*YDHpbTFlbrPZsQ*_v7_i+zUapnZdrGC
ztza~e=PK(#qZ+elKpMmb3-9CazkTC6bo}0g(HBBCjPe?<e-K`ttlk+bx@Xs;vu{>U
z_7WtLoy`Nnq@ZREvtCTs$a$(WI-St*nG&OAnm)TMo9YLV)foj79%@3y?!jP#8=Pr;
z<g&B%kF89_P4W+kR|==0{SBg}|I@x`$MWrpjn@E6gk@r8cJ}F|x*yX*qx>eX=uTPG
zR>&Ll5&+)?ZTzzISIwv!a4R=2Hp9@W;`~({@UDT{?&dS<L@FsaoWg2&p*1e_UExJY
z_v!>LkWzo6;Ga==^7JWOkacw&d2yI(fkaCr>pcs&&ALljc|DKQ_h_a$J-!+wHzMp8
zM9vBJ+BQ0JSp&g$!8_7pQg~xbt#$T=7}0xscVQN~c5NHl)&W#_aQM%%R7jKx6tfNe
za%5bSLFO)kFi!!vKPie_IlQ4u@GQ~?wG!o`L^kpvTx46JHQ3J38HZB}QCWyf*tVsh
zJ@vQ~7ZH@Ns6T|!2cjCZ8De(roPdx0olQYahoG`@Z$pC!9;vLXI()^gtpK^&FkXtY
zVVyvLH<Z=o=K7N_@t`D(4^@fd@di|Y@deAT{6X%u*W9ud%}rOXH4dFGHk)&Smx`(y
z$qyn4jLr`P^&`VLfI00=Zi$>uXm9eK_;WqlW52w7UoiL9Ww{WX!q3!VBawViSke(L
zOhS4FedSZy=^%;v_<3ZrEQea>g&mNFa~wkhAk-i$W|xfMo`L*=LuaVH?rWJc!<>XD
zAo*sww4*sfHM3`ptgbfMAMezdd3UO8Oa;1cE3je>lP%*QpH3SaPb=JdPa<L#q(ol4
z!?tnNvd$+N3@F<Ba5N*h3>G%faOPE$RQ!B4wzg2YtSnIW22nTAbOwL@b3-e9e4OHT
zh!y(8Z6T^jPfYw<E#kk>x{LWp(!1EFCU2PunEF9IvU~eQUw^!v;B>`jPS)RzL5}Uo
z#lw$zG~Yls!i%QG%*)7Q!KkQvm}fiY9*juWGbQ#Q>~s#jvp|nFu%mLHHRC!+a!4qi
zn1u_2AkdkXkx3Y8EfC2Hm9oaCzCB&r#exk)jp-SyagMyd+q%;_BCu@Iy9r1%o+$#d
z3SSr{gyNsFD*z}~X*fBJSNP6@AFy2C5wMXQ^ElC}@%;6xnU>oLVR5<eFri~jk&tO2
zqE(d8|MLCvA`1?mrueO!p14wZVrTJ26w1O|P9g({Xd*qBT+mfrCk6c5qr76vcLJw@
zVPY;43vzQ&rUJ^Tz=Vg3ODy5Nj(Q4g$go-=l2B(4$bM|uh<<~O2-ALB+l#FXYB;d4
zOSmiCNACkpY9vfyI2;){GMBsAjDLog8>GP*V`Iz?u`V0?rL2@*Y<_!YsX4-x6KP`3
za3E$qnZinQNru7-h%V+fgyIbU+8G#`wv(IZ_M@tcula~yxmKf9pw8DNNEijLq~HS~
z(OgSa4fxGr64|jc89>M_i|X^9(Ovc0e7^O~%@_JA1IT3$kjqLgxFaY7CDU3#I!*2E
z=+|Iwq&rhZ;eI%RJ3R6BCirT6+2#YiKwJX;j&}r{zq=>IL}sDz5p}W8FKt2@!fdqp
zHFLjsd3ug}Dxra;W9T=iflb(C82XOX4%CIet*A)%9p&_1ViY@*A|xsb6QkI{gKIyR
zW_l7RDpNi`=Bj?<SD?ZPbe(92K_w4<z5v6szg$4fJxB!fpMArpW@O~`i@R(W$B+sX
z6FD3?#|imXHQRtS6LUeGhZ{rbR{D96PT6vo{KuVgo|Jo;#>A#3z?xWBg5ctU;uyMV
zdsDfOtVKJm_NZUkOP8UI*vug0fS}H!u4lzCDK#g@9y1P#EM@>8p@y;uT!BzL$ER7^
zc6BU34YvhHu5LwxO(O0K5}=c(LYLd6qVX7D8aLYYi1e<)-cl|zmGzB)aKA1KN>n5z
z3gyGbHZ?WsQI6@~8apq?>e%f$wWeQrRh2+|D+7z6<T%kdd?;nsJ#$Cj{n{I51UT3-
zV1G0bhYCUE@+eJkb^M>8hH{cazZEW;k`yr9xUwwH*jTtm<Z2OX{sYny`Qdcp844m>
z6}T8)EL8tOB>?xpO3%-qe8J`t=#Z^Bvi&W-fa&LF&iqdcKmg<bDSlmDR%Ioh)-|d<
z8(-ij;$gw`iS?2|N=6pHTm<bHYUBR@3-H*Fzte!8+upr9B6i0jx8J7R91bp51b|=J
zWNw)3itCk`JHl~L1PWBhdYS{`hZ-`&LDht15SJ+E?ZnArKkRq!;3NBV)OwkB>nd*}
zYbmT>M_Nq@`g!q~3j3Z<d|R-$?*Pih&YU@ey9Z5Qjg8?7V)tIN6*+Z01n`6P8`#Hf
zGFI^F%*<$V3d|;~)W;tvj3m+7a~S#q)^;vjBSiTf0+m-{UE>X-*B;k)lBB&=xP8l2
z|6vfZ=OgQRD5SW4OH+Wagr#@EFCr{FJoRRJab8wXYzjuhWnF#l*dE4wwydK!`3+B=
zJ-hbJIq!vO5o(%#H9Kws-pM=nrsUZphYwtuYc=g;0UHWuX-xSc<^k}7o#c&m-42Zk
z86rZ9Z5@Y#%EsSLpq4};?c5XTZUf}9iJKPM0d9sU9{DbN?d<~|<!14!(i6WvJiJKF
zXkp9~*HTv?RerV5zh*hx!N{ZRlaHEeMMX}lKJ#n;?p>Ma`mGi<JIr=}-_%cp6CkHt
z@3Sd@W8DOi_}IU|?rjQu00G)jvlI3>)@`jb=R5Ma2}DawZuk~ijbtO>ytsd{$38vX
zTqw?1EjQIzA4I#a>bc|W&vt^_l^$VWgb)h?GX|Y4lHjhuGxxX?F$`Sq3^(O{K{0?#
zf4tr6A2T0aDEUyszyPPuMcEH5HP~xl2gp2$E)x2$2`6I}?yA!g4o~Hmk_J<5ru4_s
zt`$rKPXV6;4$hzMPFxLue6;6)Ov%d95M==aR0)`_sHhXwEyBX2S}-GL!PoP#re<J$
zWgbERrbryqdXQ7L(kt@NJ(WWE2$&||>=;BNlZ?)s0qTQXJsfNxlwostXXB2p*PfxW
zJutUBVLZEZ>42OcPp#`J&$BO+AO(eY?`FQN9%c;(m>;yi{}^>6&EtiANTd?w<s7m-
z3j~jWuf@8s=Usqbr(4%>%Uu(;ylHhyHHUWn<#W;##8+}93L%M_JnmTUZ_QWSnq69g
zDx&G7x_U|^qgc+k5pKokDbXiJxl4b(C#R%1>0BIiQvk6KK<t5gV5~F<X^i{--g;{e
zDwge3I~w<BulIeS*1HF&s}W*Zs%C3dWni#3%o=~C$!pIE9p?ZquSG05_!BvISj6<Z
z8+?C;SGBFZJ!m{L98;HLucDe-5Ue2ne5&VSzDL)Fq^F0ERW;NcBQ|$KUG6!O`Ol_c
z89x1G{4|1~K5D%g(t5LI2=FRirHD6g*1!Y+>lbe;@Kkz4daYf<<v^ukBxq(-tjxpg
zZc*lDjov?G79J9CLroDCm5^~MEUonP?QLxvOH0e1WD3cB8!??tqTx`!|Ni|vH+TMW
zO~^m<Pw#nN%nWYRTp1Wxn#CbmD8BYrSvkqAhoXdS*<lxxg*Jp2F#cS;_#8MOL>&ac
zwhTcIw@Y+N+<cYO5j_#93E7gT<Wj@dSxqk(uY-uPD%b{K8|LVxpgeDnSnIE9RI~5$
zb#l1!E;jbqKubg{N3B{iyZUw$FA7d6;-JwlOBsTU7;EcCU%eo=(8q;CEGe*_Svf`A
zWN$E7D&Oc%HUP9^VWF>H2WbPz{e4=cOyy^slIyghDKZY1Q&;Da5g0sIUN%K}51v+?
zbH0aIfF+a>{0v_EZ|?QD0pCho?{nlO-_klojO~|^xqZ<Wv<maQ#w{&d5I)!*aS5Wr
zZ@>+U6R0DE7#ObZ1<nn#o|)ORFBf3<8XxcO?1ZonxC<^$0LqAjKxY(gw6-(;T|hU`
zOCrqaBCKUl<)fT_TI?M9%OM^i=v_9661+ond*c_5r*j21@A!2kcgBx$Sl^3fag`OG
zqz&JSX!Y~)VPRtf$To2!@8tKeM#nlsQbO@1pUd(wW7V~_gYbn^P3msRe%ouYm$6Wt
z5xavE>is;QIzR(6vv1+#(wCH%>)3K=*GR0&f^NI7YvVJ88VSc<n-s-ja4fT3K-06&
zfI3;(+5aJ<Yrh2f0=b}vnf^iqug5b&zu3{+?RO9C6%ramt}Rj$z@Q1mH}&-efhEp5
zt^f4p%Ru;3usqi4F1P=1E8ZULLZ+&Cb6?}%zJR4PH2vVg$^3`$kF<Z}jl`)c0tMOf
zvis@%S=j{#kTL<sO4f;Da3)yyka~oJMnIq+frw@mKJKt79TS1+4wCBZPm_4}j8B~!
z8jAk$kK;af@SYGKA0<RQeP%)sUch4W-n{5xR)`orVdxA^ZLSQgDD?Tb_V`>(d(6Om
zeGMIeoo)G3*370hoee`T_jIS#&iVQ*$}tZ`wdMOuY`&$%uA`SE4i?Zz>`r|SXYe5b
zD5?Y|*^^svyh1mQXMBJ4YS<Q4L=WA{ERmIc{8*O8g|arAAVo8G!A*=`Nd;z!37cLn
zO5=n3y#=Mo|9C)=1bJDC`7>>ZKa)>SiUdg@Rn*rYIwC^AcON`vT#rv=;O~^)eB^x9
z^scSDxaz?e(6&OsE6dC94(`{>5o}lYcK5zfXQeM}QN=#erf`asT5wd;T#l~J%3XZU
zIsX3rWB-@aziAk^Ed$~Jj6k?DASH*k`S%?d3X&5OQ5@Idq`>n56#Xl+OI}`b1n{U^
z+oyAc6*m9`xXdt)ca(y}#{CZB0OvJ$`;(&gW$bUl4l5>Rv*pH<x8;3`?j49xfbJKP
zCg<erD&X872>>4HJKsNlW*NUJ&tIK*$c^L4ju~6ApPP(O%;1=Sb4gY;2R0ULjK#%w
ztU2)CkT3vF__SPiXP<^X2Vw32=PJiuYdC@T@Ba+(;R~Y-z;CF9!Zp`7_2Z5Fl%tvw
zjimNp`UjcY30OCme)ll5uy~U3Z}lH-s&ll`BLUIu>{)!s@8{)kUm_$)Ohm*1p(u)9
z(%J(<Xk%;D6}q2w*!-~IX+@BF4*-hr`_9k91CaF$bY1mB_d03qTXK4@rrBmMo@T>~
z-TBtAW8q$Cc>K>{^REtkpVXw+WRGm`xf8+VAe~|ynoSLfCzdf|>9Vx69~cvn`m|(W
z{SVRcMp+%oO3bd@e|$}%W}9t5&5m4J#;}7kL-+3q5GJT1F6ZP+v$hdcrH^fIc;*_H
zmZox(fLuh76<Rkd;&x`I{6dl`Dk5*G8QxHb|B6zA+*0)lKrkK6(9Cv}7(RLVl23Qw
zvb($QL{75Y#qK!IO!<jzzxN6DXCB$1LQNMw|1p#vQTO;Bl+3I>f+u>k)~vm$*3Vff
zUUOpoLrpYDNlQ!PyN5A$xRR#bcsORu!S9E1u40dzN9L5o5QI$zv?uDHI8n+r)bg0o
znT5>oWVp7P`epXlR||&z<_zJFz|?1tO>z3|Nt|xT-cN41;^6^%5Xh~alc-<eEsn}r
zZ-=cV*ueQJS=qMW%x*tm+twM*h6Lr`9bZHLdhoO~Ow=CM{r!$CpU)w@--Vt4bfwE{
zb8Fr{xk-WW2(X(xbi0Lw9%AVzFE<rnhzo!X@`PNA&Z@DSTRyyEJw=YN5b*Nw+`V^?
z1ewlrR#q-9*nA;HN=5%-_4n^@5GdF(f~$(1l@%K!u!>@{wD@>bSeck`Fd{t-R0&kC
zXze&QY5+X`wv+u_FQPyYVt?y$Bd*SGCs-)+J(X%J@@J}+Aqv4|t|gZafefD0Sl)vU
zza2%HBH8wtc{cKTbGV+z+=k2qnc|iQfwU9REngrgkmcv+FE<ZF4`z<x9tH|F33CNF
zIRn-fS=rc(_WvT7n3+jfRQN1Re)+r}hsD!HD`F)R24Jx7!MMH<&g=AL!V`*NJA3v>
zO>otN#9AS#Q>kXxd<|yY4xOcs8N+*`%r~9tnC|Z8Mu0dNLYuf(M3XSeFT2m$OzXK7
zR(kgSWICI!`H!GKjG?G>8pUa$@fW?WK<a>mW(;DmpG_B>nEBJJca=Msx_G%NHq+64
z?L}$K>A>GypYYLHShzTc7_;4T3h+_#dMr@-nt0fKF23OE>S+44olHF>a+9F0OaeQ)
zC)VMbni_!AymNa%T0y{L1j=KUQJzks#A&*w$3_mz588J6{%w}Je<^?+?v@ra`*rt6
zN$%X#;&-E6^@SuQT@zVK!I<GibH!kVsDxi}E$$sBoI!8ky1?T>;CZ1fE->aqM%XF*
zaC>k%8Sy*82R+DwOC1LsLV2Rot<lMgU)nr3JOcj1fnlV?)I#Vk9F$q0J`}OLL?yP|
zxmu<dv;Do4mw1CvXX=(MmX`JL=g)Lv5OiN3%9o<8Ic_WJnaAd}wVf1|7pyOT<2}CE
zw2NhffW9Ri!dy)#IpB45mD%@H%NBp9T#|=!rrngu2~%&#PPEEN>+8uAPI^0Rp(2|~
z|7lqSL`9n*xl!H+><nF41c*#!Qln3sg1bgjCt72ZkLEzzfqj+A@%P|Rp9zVWW`
zHy&4nVJ0UVqYaf1YHej_mu(`h>N}Thl#4VGDhdukxn+m{ca@}bMO-FANgB4L2xh0*
z_YmWQr<HwlH)I&5ZrRHgj3}&OCR|-!cG`dU%CE0@EIl|{sWejL|6WD$;frI%_%UK#
za7_0NqtTnR9$#3EkESI-$}{8@i;G?y<vU}b!@20W4XXu?7+gu{tY)y|<=|MJ%*})0
zXp1aSgT@<cQ|`ad#GQI>%vwq<QAZfkNa3;XAHRM2<gxhMbm&TbSJx7xY^!Jqg5I?1
zMCJaNd-uKrz#E&G&{cBY&lP43F%eFF+FwweQ3bPJmONEO!LuWGx-QZm`YB?Fjaklg
zZ@|(IthZPSOY@GXE7&w_J7h$rKYaLcBZ7+ZlyCfsJ$dE~nLwa&tG1hWI(KC61q7{u
z9^g2hd;Ihto@~Hf=*+`yLI9?UmPTueK14m@xKBSO62*<sz3`~Ee$%wK%VS17?GxWo
zWdWrHZO%8WKkm|%J;K?Mp4?>M-yvCd0v3qN-^I!4<Af*jcJRNGbcBhG*{`UtdO5{Q
zZR;o%yW8=F{JS+@BtfQ`BzQe(TmGw8cBWrVHU?*X(D~|lg?B|xw2O8N%4-KfN=)nG
zA8fqmMC;Mms{^?VTw0Wrp{z_;$%66-k4}m<eJ?}oII1363h|T2JV)5JZQJt~;rm)J
zjL>ASp1VM~0~Dg!NBwhzU`Q?ye)`ERKa<(<X8+KBj&DO&k&+n=8{Bb*+xWUXE81(0
z5v1fQ@aJy*=nRdFzM>ihvM&Y(x6O6mVlyP*jgO3w9fB~V4XIralfo7}?4h`a6`FZ%
zrgsrYgu-3_^($ndMNqi_k9hm`+~ZD&3ch^(dV9AU1ke9JC`6?>(S-_5f@t}*XzVfj
z7u{vnKjPj(2A69jM^LBjhp2|6A><De8y7wRi)QEcFJiK`NM2nx3*N1!ar7uC$9D7q
z??BW?DDx1*KhXk{W6cg|>U<a&zshN6G^{7AvT!v3mOW_Oy}U$HNeB^5jt&l5C8;nt
zZGD@@4OW5UqoZHDyW!xWHRuO=gCj_``z^=N<RlSp#v+V033&OIx<%u5oPR(7QWf1h
zj(h89>fo~vKL4m>nXs%-_k)j?_a@!~=mhpw+`!js_z_CvGDs-Xm3x+<R$BX{CrK>z
z!+ELK`bBt@jt@MdkrBZ7k}eCseaNrFB;Ivk?Y=Tg&rz-4hlKexJW3K05)KJGNu+z_
zb&r9XB%5XXp=?Q!<$*&YxQQ(hSP5mV8W1)D)X=!u8q2M}&nJ(>_2|yL>nw9r`P5>E
z=U8Nr9{`bef$Q)`M<&+e>JPLsA^pc7G<;U%6`*L?8lcvTRohgM?p`k@$R1Di;{C9V
z@Ph9iUH=R6u#)CG%fA)e3Tp3zWXIm)>moRrtRoCbNl`%o=T(uBu<Dhf-G?%J>*LPI
zUZ`LHc9^~oeXn)#P|w}2xN^g(*o>(iRmi=lEXM4)Z(rmp5?P<#P#Foj561`Syb?Zt
zpC-*;lD^Bu1Oj{qwQpxlwk5UI`kZK5ooV)ZzB+2SsFWOPJVg?$@|1&vt^Sn?=hIyn
z4$f6{C-M@uFz7^XVh6W`#0~~Tx%KquQe9=daum`J2M3_#OliExr)G;npa<yHjw3WK
zR0JF`04L63F!=OI{pcUDEh`QFs4eddk^w(tsKF|V%xpfOqXWHvT|a8d@C4rPy{pT=
zyHL_$H)jWX(@&55vyjo**a*djUTU{|6iAZ7cP%!9K(s~P-Y00=^z&=n-fjIJ<#skh
zjr3F6a~NORxE>uP)uRj75FZ58Qcx;m^}AkYi_E342^3|E(iJ%l;lX<<gb6Eoj>qXP
zP*)?R15#TUAB|s_6~p`sM9vq_irp8ely)(3wG`GBl{L)?bJcvM=QtL}Re3Wt8)}8(
zE{n5RmH;MWK7py*>(94^T53suY<Ugbq2>}xA>@4BAOax3#B{re+(oAM*n=M9xJKB{
z%s}10<wiAP!E@T6qDj)O+GEFmMFi+19Ild<m5qvt`8rXssLh;q)^2%_o#1nx(Wo!{
z@-Md&;-4=pV18;^4V>y#BuGj~4LoQX!p2AtIB?(&k2Ocwb@{YC*BqQkIuGBLAXJZ&
z*`UvhxW`&rP7g)5r)%~+e)5m2>Uqt%gv<^n)P$<nmnWBI9+CUo8=Bgkth!7(*QR?>
ziSWXJC;oI8`A_Z3>_DYJ(+~?o5H0>i5<|!J>!i;DHzIrg#!j;|XEZ(7)zrirmUkS+
z|9UBl|D^j%fB)iy1|0^uwP9WGD+KV~&bCD!Kq}y);Krc<HwtHO4fl>B?Z=IacFHB3
zgy;3$o7-Y4W8{<ZR?M_;`7h9jU++%4mM3X{L$H<F$mYp`viT|<N$z8=YN_Ep&NF$_
z1S>!X#8lVX-RJ(JO1kd+r*lD<rmJhlojYV!uz`WHBfx(F%{1@@qg)ia|DB(2LDSUK
zl*o5S@fIr5ZH2RTE-tDdM$yCe=^Z>X5HjImy>SE0qz4Tu03c2N542!_3kgjwO;&sD
ztP(FB7*y=&C2OMy@xOA3U}bNA2ad$f2?zwb6NjwSIcneH(Sr=#t-M?7d3e~d2B^sa
zrh;EWKXZBw7;#@pnPc5B6G2E=UY@FB4|Gb{;v*6IB&w_Gtpbtik#|xQlNes7?>~M7
zK<^7AB|d2%qO}ZZKc^6jTQyu=CHIU`T4B|X%n)^vQsKYBReY)6jVP$7Qe44*BC4Xe
zqN2BhO0u=lxV=BCu|R>1CikHK^32+Fm73iq#JtdTVL1aW#52x+H!S1dtyc@(OEP@-
zcjUh&*7XqO32nbD$Y|;SzGDw4diUhOnI-e54L|o25ELiPLv+DkS0AX{U-6fBbyf0;
z#Phnrg}4Q42T>QwZG=n$ce3@M32ZbxYJoh5aL@&pwdlR)h**RG3wul02)L&2=oS*I
z)7C!rSIwVq?5H4HRCxA8LSF_NTMKE4rIXNCOG)zh@y^={ForbN_?+-xC&j9dVy@9q
zC{IhCGM83H{(0||tdXm2%53o?<gx1Z78~#^VE;(N>w5C}3nT~b{DC}dZ;8O7y`6C_
zFk09LC=qGmHgHX_9fe;&laAe!`y*e}DcZ&Q+7GEoD)p^WMgH}4^(0Bdd$=zg)XOo%
zlg-#J{qVtqV1-wJkm9<DmG!qzjN(TF9ZjQah<bTXWNa*y<?X20s2nNta%K|p2W0br
zF6}LHx0mPk)SpWiQ<S7qrsG?o;HK{nS=Jjkr>=T6c%4h!43-n64f}y3U_tQ96@ggT
zmCpZB`ET^q#I=ca4bj%HQX`{XJriWk;?ffNN1V)J#OM&!41TO|aLyPQ)JR3^2t#3p
zdKlpo5!NXH-Om?)gW@pB9y1NFIF7K{nHf<?ygkYh#4<5HE-EfAtnyF4VaQxU9z6r~
zmfRdi2pErs=M@tpk0c!T?DpM3fV=O+q=n{6>bOS4qJ{-+w&8iW)CM*ptT~2W^X@oU
zj|>Th3?X=M411}APl}>fr@{6vOlv`UZ!Ox#=0mSt1MhyJH)MwtJY&tr!)w-IAur0z
z46()|9RW5Jlz&J2U35Oo3;{_yxw{bJZ~TA56OhsXV6$Amb~fu6%eB=-;m=%nBq4?D
zyT1-m>u0<qdJL6UcifKpF`a%*+i|ewIFh%N;3JHC3atH4UsXo?JNdnm<ukrYR)&O8
zO{*SlWS3O~v|V2hds(P)@p|4i2xP(IAaH8oX?y;!BPN_=@10)x3^>2?szVf(U0gy7
znpB^gm(PXbKvVUFRZ)bz)-1Z2ZP@5=I~|qYjxru)Z}Oyzni%vTxsCYS#D6%kU#kCd
z=GXjTQ~kWIX?z(GCim!IUt}NExVQs)!jfII4w=Aj0`N53UB|J33OT@y-07E)IR)>Q
zB8{s5`ll{yt9RzYqe5Bcl};T(A%{@Avz#}*V`nD$<N5*d@_(u}{g6?-!5RW-wCf4l
z5*Zq1?t>!$LD2*|98wQ^Fn-Oj2GJ+}B5MO$@iHB;P~G3Yjds=ce{w$NazKALq<t*m
ztw*RORix+gaU6YEBy<g?KzFC<6LV+gj_R^)I(u>B=k}q{z6Bay+)0nVdVIJeRL+q0
z7NY|h!$B9sk)-g3h+6&?bt`e2(Q%gl<|n`evCxbsHt79kDfg`3ng8D0P51WNf*#}e
zP29-%#Cy$8{cHa}yTT?KV~ClbNJ&GNM#NcWkz)cPvOu-NE<M1pCy{(FKAxl+F-BQg
zuxBnUEhT*Y`0*rm2B6Yg4ISEsr;soon{q#aBvOuzi|gt+YS;BWkQw7=$FaF5;XM>?
z+E4jT$OXXeF*lld{9t>(l?Y_*H1@H13>yA_8UEa=kcT{u=sw?+rLe*e2CI0(27VY<
zlz88_gFt|zK!Zi{E{PUSdU@U*^L3!AARqYs`~Ka#O0QSRh}wvqsjS?d6yW`D%XUIR
zi#*Cgv6)G)af!S;sVPxQi`%P-s%*PC9KQNrlb>2%cXO@y$3ghrhuR~R53uMJiLVX6
z5V>%&jpkiKDe9YdY9AXuv~d_=!$9n@F^zq(`g+0NkIMe|lM6MK`+HYK=<E**GpQi5
zWLQ0{1$H*T2XdmKIxp32B!D}-VRG<S2G_h!{x$jWUF}r@q34Tmsu%l(<L%kcKojN{
z7BWR@A_g8RK|on>ep<v>1)qo&^4!I?$qr3s_hp|;yLY@w!AgpC<oyK7WX;}Qy<%Vx
zAJ^WnZ0mvR9Fa+2NEeeh4%R}TbBgfb*|W(nxQF0Lz}qd%M48-D3_=;kMdaC_*6TwJ
zcVsj%T$b2n+_W<mZ9qP7?hs$WOpS1urEpf!Y@hR~0E~k1<H(lD@ykvYDx?AxAwcww
zrOmvD@bz;Snx9oOXQ;OiE}nJeWs*RhHfX~LjTRmBwt%qOj?*RXXb!|RSR$UDzMWhL
zh*nTU5KEl`7R7bc%R*0$1j(a0&+_urfFi<Ix%=J|H}}~@f}L@u`pq6j!c33*xM?fJ
zJ2iIoi(#dU@K5+{l2t{W)i4MwTVi{@%H`L|0+f7@sOST}>@7U5*9RjAEWQ~3uvcLL
zHA$kSpb)TUg{22up0pYdfMviDppb%sK#|k-xCt^ginkyZ4`B)S)q>KM9pGC;n*8LX
znWbf3*DtW0K=`o!Kzal{!!e`QRc=(qcYOYwNYt>Wz`XJPFr<(Wfx{qlLV%++e)qLO
ztRk3KiRy#KvnHzKrCK%m*CyF6s@)1WPsoS25i(yJ&-inct<nJ<&#C$!YBcD?8S~+f
z!5W0r7sJk6r2M}^$PXU#p-sRl2>m-PhH#9rF-P;>^h0nvVQ?7*&4RGmqn`?Ce|;8(
z-NPl(^Ag}}roFPw6o6weZs77cn-FIaw)UvDkrK3bQYf>pm1)E~o7?WHN{Tui``7=c
z1yEEZ@I}bSUnCU}q^bPy<iZ5V6gmAdF>!Iye7k28()<yP+TrAD{bqInv^C(900ZJL
z#Kh!pzh-|N4k0MSQ5nV?h>VFY5QLaB0DP#f3^T_QZt&lec&J5sL}m=@H+bVVZH6J&
zhZW<E;UvMsOzV)Y!;<O6bkUc|eJJkSjVpffMoLa)WYw@_!b^s?9lA1TlW*EDoM@9h
z%F=1$%=GhHXbIoNHCFl)^3p2C2MKX4BQ$kL%GOVnxxo^{`w3)z>(8H+D7Hdhhk!t^
zHR8Pa!8R2+wnK++?)eXI9?11q<6V~IuYI*M*99R}NyXp<_m9K|!5}bYKbx{d;of*N
zs-z=6KFh#q<ozS>9L>oRPsM@_><CU2v_*@vVRw?H85$l&5;xf)akhloXcj7a3K$B6
zlN9j~NJ}#kyoZ$?`N+$b8A^usSFV$p)1|-RRZ=P8ArFq_tI7^!TsFUG7S_v^n3Tka
zEAr)=sn-_XTh<1ucP#h`3XedIff}Ib`mls?_*6e2<CI|bBI&b3-piN3Yx-w>@R;K3
z0qe#T3EdX%60Ft;9s@cH78c@Oq{73Xp|20k+kXTPrd17iXwyDkD29W!35DQRwjnTY
z#1q%*u9xTF)*v>5^=R$C?nfj?5q^X``{uBX?)-nB6#P~H#cT7WDqa=|2DpI$TfUYK
zwy)Of`G$XY&&631-IxO;9ii{;+%l{IFAA2@BncaVaG!wUPek|a*B|Oc@1UTdxkTxU
zOHL%r|97x6!r_Y~U5GkT#J(Qj0Y))Ibw&dVA_#2Wa~s<bIt}T$<KB>Nnw;Y%MZXLa
z$~m7SreP0;oYi}}R>F1SO+Pf5TLx!VYF0;Z+Qmdg>A|=N*%|mFMB%KMm&Km6Z2iIK
zFM+In{l`Nd<yFQTubFCEf%pK<L-Uz}_mnwWBrNjKkaAzjS{-HxhWP>1pAdij?kzth
zl5nOp<>mIf7CX$NgUkPve20s`ee&91+Yg_GbiFk>@u)WKSz9s4`QTI0c`Hu`qoiOn
zI{_Y#F-xakhp$lIrv8`lc0MNdq5i*R#}d~PdwJeZ8c3HRr{Jv*ix9eLl5eHBHj#EU
z{i>JB=lQAd8wdAZEh*Z2li^z2A@!@%*>OMR0@kM1H<xSkh3_$_Q}!=yXrm3cFKy++
zl!N2wigNo{O;zBvFBe9{3r&)UaLpyT?-^hFGxx^)F%zwR6xBZv{pM$bo~7;ao7=4m
z&r$RI(P=J3b{<b|Aj-i3aY5QKcUph}g4Al80_@WXEldvsQPcL}o_ws_hSK9Lc>3ty
z#YH5;DIPqCp<t{_uxhHwqrjvBc}Tf0U*Bv;g@zD<q=F90hY%c!&G0Hfn1px|yi708
zy&=Hafb;1#30^`xO|5*aH$2i|yc!u8AbF4<*egx8K={~w1NF^D2MEfSd4)Dkeh&UA
zNb1Ws(WOL{Nst$>Ewb!~C@u%xCd7BekvYj8=`)w)&Vq8mDhJFBRu=&Viswe~57D(0
z3eN*s`CwDP@L2Pf7Cb;lB$|*MiNFnWa5cZ#pbWvSpecl^U8JqXzqi9H4p<ht61+C>
zCUdvzPWU5A3lkp_NZLR4=WrK@?@-<$9@TnOxr7!<QW#zWVWayqeUNlp4bF>F2+BdW
z^1zpCX9w*lta>lZ%Rl}2k*3KCin{p@(a9Y+uQt265izS)(x{SCHmyc*L;gjJoy^)Z
zabz$`NddC|J)HuaM`tqw2WxdTq0}5g%2e6i2M>PVbkj-8h>fL>3FG~fx%D~R*Jha4
zczXI9sB5tw*2)}Vrigj2I|Ez+kbV95^7Y@}OX;h#j0awyUN;Pmrt)0W7`dK8Fps}}
zSMK@RL8ueF)k&h8j)X~%G^&J_4ZYZD$Pf%cBw%&?B1)h^CZZ}0wFNr#ISHYc=q9a7
zps+o$Pgp^>Ci<@m(mGRXB`~W(JDO}<S))xK{qmQL>C7rUK?)x=np}y|*M9gWOE)j{
zoV%7gX7h+zX>B%uuK8}YR4cD{FNjOz4>-u(Gj8BBs8Z-X<7O<li{&7-!Iy8ArlvTT
zC?7y<3AJ9>jwOpxtE<MsAuNkIthQ|_Lu-oygt)8Q`C=P6B`*UR!Ck1ofzc63%Qz<U
zUE^vBpCh6WP#5j@bZ4T8C{+o36{MiRqq&RCGfxszU5NIbJu3r6RcVM~7umyYTbg?B
z9<-nKGCe?=kh?{@BNWduEK9mRoc3R#RN|3QP|&$g^692QVE5ro0}I|o<89SroY+9!
zj0aAVKReseK~AU{;+|({AJ>(e|1W>Z<2Clm@renj3Go5LDVJ~d0umeH5u#Vq$tj|J
z?Cc98sGUK|-oAxuSU85@(N`$n1>0qgA)@nIE)*kIiCB>lp7UQA;N80zTKYbJ*5tFS
z?s-FWG2l(>O<W$JZ2ib%+9YKn#jUo<nyeaypCt?dYb6$%gLm<W{_fE(yk6$%v34IJ
zyH&U}5drnP(6K;)svsoaEdJbO;h)K<k$Ar=StrNPk3<|v&R7#Sy&@ZjFc!Te;b3>Q
zG4(={KHWZAxMVoPIQjTc0?)}hn#C4@!OWwwI+dSEqg=Pp=H1N#M!AIdr{U)@HkN<Z
zIZPVY*;eR8K~^S2X)MfJ`t=OuZfW2`v^(nRjVbVhUR#>(Gmgm}<vXijQ-3Az;X_Wo
z4?b3`Y})E#>Sw4o-!l6h)kfLz8Jl<OdL%E8U&(K?q#_Xcs+!lALm>eLSt$9!XE>gI
zws*meiQn`kZ$s$x!*wYHLMWuk$jL3{K|2ot^RI8;EmuanweYIB07--$m!Mg4|6nD#
z(NWQ7W*y(Y9VL~To81>3?8dWl-gJLquEA$1Gs5>0@>EvL9ylQCW{nS!qEI8b1$)c;
zPE0yDf3R3ht&*Z)6Oyjag}-{Q6YC;a6p{Ue%m@?|4eBW8Q(fL>RV?_1D=#qoVOS<$
z^gmGg3&;;cGCKSaSj6o>pwD3J8jhMmUrfZpm%igaQSiwesfo`KHWb3Le;~N=?o<#T
zenbN`@TPxF|L)S3u2b`?M7T}cZokQ0Fmb%wa(j`u(pteK`pq}&#yN!QnPv9x8dnLh
zXAZ>>b(r{By_QZrhKYdyI1=9o0GD?*(&chf6BAE!bGKU+!z^?j@!@zA_Y4T#(YP;I
z{^pGzo@8v`Gc);sjxH37w?LDhuzbYEW)R|0{F`-Bz}}euGL{p30Nj!&`;SO3L}~17
zWbW$!P)hV&3k75014Vy8UjF+<IS4VJafkLg%$ny>0>llFU9CrfPzJ62Nw0Ncmv$0-
zUASa$)tsTJQ`lcrNPiNNJ#3?)HT|Gx3QQDaY4~DyC%1rg*M4h+1>|5JkbIfFe(YC?
zS+plb$H>H6h{M)(ts7a`RXDCRm-Ji&%87i9gFSsgSsfIIrk=R76Zp2LawzSL*4nu{
zSn(CxeRLNSrKFci7LrC9Z)Wx_ld!f?q=)43-^iV7Qm1zmzgZt;Y2D%l8<u2na#h2i
zjt@@|?WdmDWVBA_=q0CrW=vCT;43qG5ePY+oa@i^9@U`_>f*5>xlH@s>PXha@lo9v
z#B4R76upgto<0b5UVtbdoJIoVh=(seXf%B}mg-beuFvXqMU1}>ux@G`%b(^7@h`OG
zt*(vOsbs3LyJYibY|!>#q?{;4&tuvr5Q#P1N`Miv4JTlO`n@liY};WBboKl6_jGR6
z;XK99R{qjAJ1Gtqi)-wz%0}Pc?B}9(u<bnCZL07W`Xc4UZrl7f$q6kZ=H({PdyA4h
z2el2Qdm{ICfrrMPp8I_X2(-J_(7Puw61m1FrYhH5!fI|sxz8KohV;Esw(MFa%tu*N
zU8rCZYDpdYYSV*hXiCrRh*0ktr^$xowOIqDO>Y8CXobc&e@IbQP}wURf&i!P)@pb1
z105D@IFb>Q-qv;r1QhWJeP=T(I$wvU1re*al_j=%YfQvNNTBb5Ma1yjx#P<8Bylm8
zP#=r8AhHC#uQ>RU>~Tu*dR?uGL(Msv+pI#eEPET8#c_%vbr&}r8U(v@PazrG8L8>O
zbfy7G%)k|Fg-zYq-2DjNX0#dBNx^Xem5Jd*`~#L1O@)R>D{som;^rjp99;k#;C?Oj
zkN^P(&9U^GnnH#@j@<Pk^glGnUgGvWhG0=FaJ}&L{zLUcujIP0yO$T=7vn-~uKD?H
zFx69C{^+z{DedJWR>~rt=YKdgrx{S<=>4fi;p;W%sZb+5i`&}Ohu5_?#=b+!H2)Gk
z$Bwg83XcNal>-mRG#m6P$RH&KGuD~*p&Q%<`>Fi-p37w?4@Smz^u*$k|9o2ei*;v6
z-F75GUd7x(?1ls4DJc`Xk7%!4_<FX{LT+Yd9dHo>C&S+;eCmE^-K)sLw+$T(C+0rC
zdq;NY%CE8^XETxqt{n24+x_`8w~ZgyepG-SE+j-m2T-~*3K$>8zJkQ&t}SKAqUCAi
zQ$v?)__X1NwEb)1&?3W%?*kk8<j_sWJpMly_p<aaoQ<E`O%xmcczr-vSQvSf>vUA4
z*N|_4pHP}UDhsdR9Ql8kdJkx<`~QFZvS;=R8QCQ+lE@5Ea%)MHY*9uiBMBuWD~Sk6
zk|cX4dnc(>QZ`XWRz%kSaq0W{oqy*(_kB)xCl~M6`}KT2AJ50=NZ1YIJ6G2`Jumh2
z^Z+PN_EmnnP>e(hn4P%q^}u{#zosd5Z$6Y%My9I;Yr^&pjfxRwYQC4vZZUCM5~k4@
z;omAgKoOvI`=Wr#Xe7@r?II1X14AYLwbp^PH|^D%HC*^A!vgm#{St!B4-k}&*K+@&
z!}cRzanpP&EFuEla0&?qxQX#~2v{kCBoVr7g)kdfX2D)vf8QM}YG^6R9~a+woP&dU
zTo>UKxLEDv6U=k>@<w2-4H9Ti<<(Lg=lS^+wJ%+;BPTl=6=NpBr6u0<sBdvJ@#5&n
z$iV|;eypP*`)l;Nt$goA;%SjgX-U<hRy+g;DkNW&-{Ni~G5lKmaUm8HX)c7+@&;h=
zavc{ZAnQ2a1fQ;T;Mk%5JV(O0{#OxpreTd*4ZBHzcameC^ck4!nVI<(6hlkaU$tF7
z>l0-4QB#!4q)i<peskszY{(|p6uy|~=;=jGF+cB`z`h6WC6_L-hcz<RgPWFGSh!nO
zcDl*mGLHM41M!L8P1(n*{7wm0u2bY3d+RVU%iPCT>0hNzvYT<$wb%HoN5IDYH&~Vr
zY<K3KZ|LveC?9)>oe5&giVZUWQUZzAdA-kcXm}W2NsBf)Q?)1K_dMl$(<jgIu^vgk
zCp2LQg}~Nz{lh1B)-{RBpAVV+Pmy5e^D`au1V%@nnE%p`H#RkyyESq$?M~qd9;}MN
z1_(6?&<=pk#rtw#ZUMEDIB9+F5|<C%!Bm4FY(L3OVkuM8HiRSi52wv)GeM1sUqM=f
zC`0NnZSPQDG06JlUat<9=rEa=KQuO$qhN>$MQ67YN;J@O00p4#*Vhl%T&J*g#UvT@
z^+uwW@>x=H3rNNc=LC;c6Bx(IEbXMZ-soye5GXrp?kBWp+^jYmezf<?Z5}7HU@tGS
z8t#NVli80Rt|!O?J_YA84YY35U8uM5{~J?Xz0s{Kxw)_K8~fr^0;VPb2nV_^IP7yF
zLV}|La!7<On2fjD767h7Kay;iVYCCY@Kp99m<xz)g1MM!+`{kQlUQHSQX;DseEZa+
zc<-P&)6D3^*e5P7ZaDV-;V#TbICH!&BNg^;JJ3a-UckBo6usSNXBtIlRqvjS_%2uG
zq3p7vF_}Ag6%pB+1_eoUDIJ1|8M((ZZ*@Tl4`n-qQaTjK&|18*#uXN%D&*6L&H=L1
z!@5DV?dNv?+sg4j0e4tdHtN#h2da$qfGOiwOW=wN{Wm15t)(mOE$R2oUxHOJ&HP}L
za^P)jbM{|l!80X+R`KZizR5xby$n_lmWnN6Ax9;{!@?i|BDqJ1fW+P=TkQ)Dr^gh9
z#}r{;qRf?-u-ZewH%r2DQR6`Zx5rL0x(eSh{5!9_KfoO^b;<KB^u~wTVhyQ4RTVoN
zhx=yb>E4-HZQ422k{uabf1IcScILjiTX^zbtL;wX7o>jWmp8k`DxLYb%`nYE+3<gi
z;X>l#qj;OCVPQ^s2tnZP>t6FO%fQrus)8{RL+7Fm<d$%<b0}Ku2{9)>E_vd5PgFbq
zaD2z$6gi>I28ps~ok*EMt#ds7(kT?hj2=@<i$bu3Nq~?K>J*51K_9$x2fQ$}+0DbV
zD27l5wPs<>+|%3J@q7O<$uSjl=rwN6=R!jUA2F3ms}wXiHCm_#2ZUseMfMU1W~BqS
z2-E`;(!TyI(SCPsAMFh86DE}Xe40o?%64C-{a2QCkD<u!(*_ysX?i*tEI6PD=L!>(
zm1WjTkA!j#1qjgkJR-o1wJ(Gcz$FO@3YzMz=&~fjJALRbF7r=4J<=TXV;w0La9{21
zg%(=@@kRZIIBbxz3ocV%bM;{P#I_e}BYO!Lk{AQMe(ihe$9nJhtE<eT8o}ULLtFy=
zTW0%phtp}4#IVNgTw#FB4hBexi#Kg*m9MiGk<2%1Q`S7gkw;})(D7IBq^_lWf)a)9
z=IzH2-#&`J2!l~(rZJuc@H^uy%vL4fWgZSy;>1`0ZN%@-XD+JED_2xdcBR)fb0$+P
z$<b(hzi#J-dA2)ow{w5h8uq8>OpPTqXADeCKYGP83#cN8aVA7#l@#B5-`wYCBT6@v
z#&{B7ER=Y;_MH90NUm4$C{*V$`Zeq^IxUGH{^j@iplQJp1^*`C7{ZlIZ^1;_%k_(h
z^IQ)i6yX(ve)aTUQJEu}PD0YgwkK`8<ea4O=W@%2=vQXp@rvY_7miM5e?=8#8eb7<
zmn2nh{`v5(j|OoDW6553qkSs<jJiL2_t#@mfkqWjeU69}A=nB!8$afUWZcvwn(b4_
z?#bRMzg(G<`?^9H_~30;N)UWHEGrn;QQx-Ls{XN!&AKn=FCV^@*D5JUN`|0LWY3;Y
z09sVmF$Ce^$55i<=GnIG+PSC@t#TnDHJhnU-yw405s^}+?8^9`<b-SWd0z)|ZkP>u
zi>T*dY-X9WDyXs6et)d(C#W?@*0M(9Wj`lG8c?)S`L#1TPZ}GO--?RLefA7&HQtDG
zu(MI>TO~?M8;HkX_b3R%_{oV0q}??<(v{}Qc=CiL^zioR9}7N-?TDrC1zqOBG-B3}
zpa^9!<P|v?Ye5mMwx?ft&(a9`&g_4%ONu8eGWW{2Q<47blmx}ZUFx*6kxq|{<X;?a
zR8he?P|1!g91Pa-f?YQ>g&bU5@TyF}i1dQs#qDC`nCKg*qJ95jr)o)LWM;m!rDn;u
zs#1+La_?DEg4*jM$e7GbOdN<jPZ!;bPjACY0l#5praCU_ep}kC41WeVNksx@eFA55
zTv+3fV{YYQL7U8Q94P^cbjWJ@u5SHR&ZsX%xV&Xxx__Ya+9*hcphkkk4qHZkepR%8
z7@YF+5bx?`)^cMwO^t9A(MR2@`l5Fa1Kq{-SR!~%fw$j(V-4l*Yt|l;H}PGu!*H|m
zX5yXw@Aw+;5eZaw2qu1G=UW6bw2Ot#{Q^?#kp911oomZ2AAN8vmkoac7biAKATw`t
z2+np0MrFeg<TJLm2VW$@@9N8X8dCxsLeSTqJ0~8^M+Zth^cGEwdIx^ryTnG~3!b=M
zl)Ng(?R7R>EnU(jpq9~#lk32Cb=tsvPwtaz9w!o3<0%Nt=59%UscKAv|NN?-lfV)N
zQc=vKo9VtdD6Vd9gKw|kXRmNJS}TDOMV;_9ayeW}te*4G(mn=%UqL|)%4ot42_hr)
zW#SqBGx2vDvJ!Z0tHM*}XG=TY?FoSAZHLB&Dy+LE`Dr(CMGmd~`^kQ`iLuZ!ZQIvC
zG|<w5RVmn`BS1bNa6z?w+tNZzFhHA&lCCNcMJu2)G(I(z4Hu4CZ)no0t4SF!h{IOs
zr-Hq|{=S<)Opp8-e7FTh7VtPlV+oei3WOuQYl@!S!{b+G+zupi^$RxGuUO_=0aXDx
zA(d&LHNS8VU*1Id9;$;gZ>vTk%a|j=!|%|D=KHw1vgqx63FlaBwlp;f<)@BkeZs(J
z%K+G~#}<O2YhFHtC)x6(@8@YUE;p=GV9OwN5esNN9UZVyl@$#69c{e|-lS+~;8Tf+
zq`i9OYiX$|b3f$fO`OI%PwLnW#5=JzG>N-5sOzNqIhgU+j#oYmAKhOq7cO8z^8X%t
z>XsJPAooye5)zg(m}dtmSokfR*E5)pxzZ9;lcIT<GI?TmNh;Ycq5ff_U7x#O&0^Q)
zprF1oSqQ?ZweaUBLT+4yk&i<F0o2qg)6>5rbzx+c&><`St`$~`KnL?-IE<?kZg{~~
zu+V~MSu<A?tF3%D$)6L;ZQOX^?ZLYZ4I0KmY%yJAC5)<DN}+L<1%i+CU$fgR;H6%;
zfFVS6Iqiu7-{vh>2T=olUTBww*J%TL+dpRY3oBFVOQ2$VD3Yta-y0sd=guwHu12O3
z5%%H8SnnZr{NUP==m>(SG?xU9v#sqN_7aHqrE)Oa-2`|(06U5mafYt$J!Tsd`)rN3
zr;(qkx>fz6v4;qkq$0X%uE9A<8op&=8p4o0yf$K655@<zJv@Ns4UqL_9~7jeoCq}%
zD2{Nj!mb5${CsJZtBZ(5urKU3Fk^?<C+6NgBdA?_dv}3(Co8$~a0{Ggu)`tI18;St
zw%W=kwqsHS_2^6G)xF2+_!Tv(Yfwnh9fPYnvSwQ0nT<}8bi;i2>%6}bwFQ}EFcF3;
z1`K|?qGb6Zc*q7m#<Vw=jBf9XWedG|@UG~%&Zu<sK|E~O!?Yg!up_*o5b6c&>qAXI
z;@lqKW_9!*($X2(el81pI9b`!()?s{6jq3vhO^ZUEQDF{B(_6YB119+l=b9jp&)Q@
za-sz~up;QF>C%CfMHU63z%MvCF=C6$K#HmYH|6);>y8_d89CbF8ie0lh7)9G?8JGf
z{Z9v8l?j@0NXcE@*R#NcqtFKo9`TAaHU1kb{ZJP9d-=}2lk*x{U~ub5FB=qu@x?O4
zyKo@&-Vx&eb_h8Iwas#IkmXCQu-~1y120AJIAJ2h7oody{!QZEY5o^QX$Ehm>-v+l
zl&4TPKyN1}#^2!xuQm_7f3XgWmB%%;ypua_7~J4iB-9KFd@(^#g;P>WbD0p~8EjN{
z?xeVb^eQk$`}>!fxx);o}zH1@)x+8j=L#zTR<&0Ic8!<`{=om2<5n3Qh4?)B&;
zC*k25f3FQ=S=Q;<(GEi7Cr6)(f%jQt0~k0uwrUVI+kZ*D{L|S_UP~Y&JvEh-JDYkG
z!XOGr?h%FuXArw?a5;jl@Y=yblRn5e>m+0<1NVVr15(-?Sw1@`KxGZ11@Ra(=(wYr
z8yaw5$G4x;(5UX$W}rcCBHC?y7jvU<ZilP=99o$d&!78D<~KuFx)*O8nlME0I`_R=
ze&CoR+@wzP+)^MT^Yz2ygqivI#JPJd29p&fcf>@ETZ(t*AE_`jFtFu$`uzEA)$jAm
zN~ihHS<nE4)SU_gN=hFjUkRlcNr;aWGuuzO$K>RKt<aw}QNK1k%+S$#Dk|D2JZ!Ya
zs=-jS=7R%4>GBVj(szxG-=P<Q8=dK=vXQMieIX6lh!CpYPzKP*GzVryW?JA?8w}GE
z;uIDU8J-!e$Bc#*0J%V4wg2UdZ%xgY2GnP+d_nXP1Rbpcdm0f*;goMevJZas3Pe)J
zTt9e{$eb>^_1t1i<loH!kR5*LBEo_jUNluJ4C}5^E~jtUf414!X~MOIkaJr^LR5f)
z@Ok#gBd(nUcqQO=f;&r)*8acz1X>*IUq#p$%PXm<z&SO@D!zK1JIXiUxpAKKZ*hgo
zTGEv0$le&oOIrrSnVYTi`@IcGSY_s&?XNVMXA9n9qQaax*sOT<%60-AF8^!(hfmC@
zq(j_-wG&+S%gb47Mby<Fc8tL_NKrw7$Y_&q0){IH9heE66%&!vDj;y;{G{>!xBy)A
zK{`i;v#UX-fQ2s<YzI|aU=n~RRZ+I~WEGMzo|A@f?Xg2kR0w#1egPHgiE3o?@BuwN
zS<?a?@fb3EU*1rEErNgrRR)5#*Ms?7gc@A|k>FSI+ESM%&9|OYkww-l)3>FLgx{2%
z(mqUpW%P0$Xjo+N2I4DZKvV#DC#48?lV7=DvAXwj{H@bM5SYHcY$cz7K@fWjo0NCN
zLkA1mzI+#5xUTt@YVq*XHzQfiw?ZDCR{upPW+dn?NI;>|gT)O1cUX&f@?=*Mju14Z
z8rSZtd^z|?BIgX8;Q!^nzA&DcQ>MLSR3PvxF#Ua=iL{wY?4_G0q+3)HiHst#`tU<U
zdBFJ4)>gQ29N()1l25skW8D{1vF3PfwDhfiy{TX_CAaR=rKmGG_lElaST3J%_|b5r
z+$5Q?kV=*MQ#J|Md{g_B$(W+1rRA1^xJc+T(QQbR0=AhPWRrSSM)Y&8g@%H{We8TU
zz3lk?6Q?mxpwb#<9e9zeT$WaJb(RL={DpIwN-tj5p^V_~4b)>xl08y08qw^0LMq6F
z7P>AXk0@KKsrvSR$Uq3trH`LJ$uY8Xb0fahzW6kFffxgo=e6VP00U!N2luyk@9w~}
zX?oh8C)jZf4Bs9MRbRdwq_0C`5fY+@ak!p{H3uo${nsxz`)%SSI@~(|z5oL-yF}Vo
znwRbdE_OGhd2GIQtp!pO(#Ei>x-?-IRyI$z6D&=AJqZ5GJknw44#T^y+sG>^NPwAu
zb;dcKruuq{fNSCvM<w~UZWXp*oO4fX*Y&+^Dd8r^Sl^iOjEZElXCRBY2fNHP_if^I
zUg`xQtIscST4wakI$ppyNmxi8W_mV3Agq*FQ9_(pzh!TaYyB3mBhD3;XJ-C{BJ`>m
zi|BCCFa0geG!<yM4VaWKtiGIZ@SohFWk0rb=>gMQkrO*Hi*-$)yE`a4w1eICBSrX5
zgN&r8qrG>vl+WV|!l0PcQ0817SbUsS@hl}lg+71z%nLtOMXqxU=4)?jEvJZBOcAh8
z?(<uj0%n<WPeoij`12=B@&l17zu-?^F&wFa{>52Z+vh-!N7q@fHx69CC{SP5?Rsor
zqIqU0B7TY@kk0vZ{H|NG&7U<aCj=w!g}Gf`tapH!)#GvQ&F0je?Ekm)HqM&b+$M_d
zegP|`j84`oBCs3s_AUe6vtumk`7|8^12#rDX#{Yg=<Kn+Cy(E4A8DMG4Li7b1f6w2
z#?|R|%RUqw9XQOgphCx^9CGe7Rx*N*@5`5WY0RoFflvX(N)z#w|JqGu=Apk`uJanK
z8$<zbZV_EG&u+U@Nb)_@ZZCg~2uWaJH<}Ot*UFT?g0@FLd-9~=T;VddL(_!woYb0<
z97E4GVojt4_|B&zO$pnlIIIr)D!eYj^7G?IS!+ktTEbkS##t)ek%Ey5C&uw@FPwkX
zUQD;-5l3{+t6hlY1)3=DKe)6YWy|U2P2IF0Mr|oiq1S$0V!k9vuh=vrj4nqTJ+OK1
zDM=2-dNfjQZP?^OFaW=`Ds582R}5b33GkDxOg|rp{2<=YvCrDwp(BYvXnEfBhemk7
z%0s?nY;aBCnO#}`+YhCgd|p*SIb=G^sm0viN-zGIn>(Fv4f_&UVgS5!65tMU7iQ(>
zf8{Y@Ofb%hHQUIxs1~RZlxYl4qchP`$1L8I{w^_Z(8KnWjVYtC*uF1c?Y9#0Y(vvV
zOa5UhhI>g6*>8~6KnbN_*$kh++X#!BLtZ{``$A^|h>AS`ksI&cv7DkC85%<9#;dD;
zToT)#zIP}(oqbTW0Pt^E<0jq;NRs@ZzCLf_{cE+B3cU09z-P|1o`A>)yD}`>=*+E)
zPahJfyr$y>zy+NmNj7`s%JM}!JuaM|7a+)j+%55~*>1>$uUjQF=I+7HmX?DjPOy_e
zWd&a7t~c!mu~l$5e;$1ZR~U?8n3$OvD9O>IlAl4A5JQQ3s?5KJ(0)tSr_(4Jrl#i$
zyPq1TLP&FDsp8scRc47`yY5-h7*GWvn1yLqPbud{)mWM6*Xyi3Yl;S3m_!0NZvRJ+
z@{)195#hmdmhxy1EdkdNJ~LtQR76GQS}b8;csMXEqnd6sYW}(6#AUg@Q^%yaCKh}$
zjV>rAhNj8ag1HPRMpPuk-CP?&b-MywkFbal!Prk$-s$+Oah#j=N2q<5;CYwU{a<}N
z7PMQMLzpcOaa6T5)K3o=PtRTvkJH&Nb>J+`;=MYj{Q)%UezXS`zAVZ5t}S!{_ru{-
zS6}z?-tqXTp-NIFt6ZJ=P|Hc99d+!E`Qubh-I3*~@q&ImU$Ivhiz1N7r4I*NNyZ65
zTGv}`p)R6=Y2X=H_9`aYLzH)E)S$3C2{K`o`Fa4nF|DHa+pwxy@>M@pt+V|Y)P+B%
z(~n9Po!(VXbT2o{`h-;|03G;hM%Z;@i^?YaQV4`|1P%#FkON(8Y;KNuGdoKP+uX5Z
zh+G>IRe<CpZcq`OIHD%T6$S&jlP6;<Dpama7#gqb6NY#rNGsczp{BDl#?JIZ?-sqz
z)kF2MckaMXR-&NcLh)UCqWq<~uExfoe~sH&=m$ZPxwNB><D)D>I%}gA6Bbor(+7Wg
zd`)<fvW7JRfrsc95h?;IbD+HW424Q~ax$O&y|?F@oHd12v2Ygs#c9n%E`Zs4doOp=
zd5vM%8ytM!*S-9S>_wu6&r}U<Njillw#?{cY~@W|rdlG&&G`5Fj4Y~he1tiMo}M7X
zQA70{rF<jLrxt#^32zK^BhdWnrbR#b`X%c*$d)7u;LolgGR#`{4q>%Oau&LMn_gJ(
zunmhUg$VVel=d|m7at1Qo?D4ix3!u0+gr*ehD6BzIG&hw6!zqJRLq^S>S?<xB?P}w
zI`Qc4;A4}einRQ!X;R!QqG0G^uycHUXunU#>*jo7cnVc4BZWxWx<^kHzvJ<N;oEWM
zzE@eMf8A`of%Tgg1jF_oO`Dg%s*Kc*9rC;put+9s8VFcn@f!egIM_;c=J0>OrV!8|
z;zu$%Q6EF);3$M!0~-z4tNjoI_JM95{_`Y!es`yn;>ywz27)8Rka=#rekl28&K!Pt
zyKxAJ2Z-qgGi*@qMn~_rm56-wNXU>d9E>8{Y8&apo1zXge8^*9Nag7%gWb;5lvs+=
zvM;(J6KN&}hWhu99yVG>w|!R{cRe^{jHV4krEQ?u&9HyXT0)a05q2gqug~Hne5cP2
zweZ&cl#BTcKw(;LZqylUX)7^UU}fm^wJ6l_gcb(}^tVWV`wNzEuCwFH@Jh3@gp$${
zc0_nfV!D6s=`t&XeU^lJa0PvsNYt(_rs2h1KLm7;>|kpv8UTvcwV7I)KWlu67i(i%
zmG*7*jfv3HAP>NV>v^Hl$naRzKE02!1}@@@HbCXNodoQjwi8L_bo|dB-kawj!BH_J
z#1Y-+pt|=T0ZMOvQ-}P)WQ&;(T}u-Zw`TU&NfUnX*7$o0Y|Zl<%-?0=Oqlsy%tDvC
zw@y2Ps&LSyOJQFfcf{E*FFhO~*hL~+x6%&!?_PmXQAc3bdXnMQS^gK>6g4kW))S5S
z<`<d1eN&0dw&oedw@B($O%r!)*7xc&U}W?0@j--g`SN95U20NxE$CeU)xq*9V!<L7
zE4~-3hkPR#Y>@{rySxg=LXrt6Y&^jW-yG=R5k<26@%A=Jdyn9p|Hk$|l*6bF%S=68
z-Ih)i6LC>d1Af}9?Cf1KGUBPapg#`{VJ%qLJ&CLJ(<eI(WXp{jJsl%TT{YUSA$0;3
z1n;nLibz|5*%iS6)PfaH3p1+tYejIli<;U?s;YoM!bw_uBO_b+gq9<JOlKrir@)a_
zgIecYp|T=NskHVN14h0(=C_$Y+=-5UkJ<?$FniS2UzbORhvxxKo<kV<=qUW<;Fxgn
z;xv*<uulk$<#9I@_2-s0IcjQJ4%@CRxi+Q>Tn98|4lG-(P7|ngAH8=#NP*wn^VprI
zz$M8@PhT6{_G(>iD3BnO%M`K?OL)?{?s3@L5fufG7OF%LANlz&D_Net&~lKP^Ur;=
zJDBa!4zWAxzow!fT@CCp4<A-t8Z(UGPf_ztvK1Q`>}w-FY2I*dZnGH9(mU1_snV}C
z%>pdOcgkr|Op7q{Vc@pguQCr^w7lO)++oMhFVIFMWe%qv_47A#ZxsUwGX1Nrz#+Wy
z#n(8d7%C9i{Xq60HH<KE1ippBj8}pr5Eq?I+GGR2-r9JskTs?rNGC)`kUxx$a&d6z
zd^IJrGzCK(_d2Gn{tLyBfv$YEKt>RJo*@mFZiBQP+!)k*{F`JchU*?D<9Oy}B!?ww
z&rwmd72v4jm)RsdiIs6LvcJOUFDfDu*pLcp5iGbN(uUhIYYn_wK#7nfdt;vY;0DDf
zTk<oa8($Gaf`A$6Hfl;rWNJW#Jf{rqIuah`@3PmR_gdq+sU-}jL>@+4#%!z<B=7D1
z&)?r46#z6D!|WLb`@TL`@;B$^k@|#xw;!IVi)jApmVR^StI>;VRA3`j18gR(UB`ov
zTr`VdC2rY=Z_Jevn%89m;93O^lK*`B-t&!3MME~jkaUx%CvQb=TgBslVi9`{WJHgt
zYaUa2!7x`PT?2P7DXrW&yr=kdZ-2i=A5X9qE`s)RDvlNe!+?=>a#wfv(?t&NMGyax
z9AhO-`G#+h<ETL>mC-O<8!GeX?CTABaRHxAc~9P#N733UjB(fs%!C|{WMueL8&$rP
z{U)EFXszS2i-+1Pr$I&K1+&`kqvy~6EI*-RkeW12YWV@TeXVkz!U@XHit4QKyblzg
zyav!d#JVe_N#&*ZAuyFVUQZ{0&<)-|x!JFwA!yp0Km(lD4y@I*W(P!v+ZGrG9ws=0
z&BJcl)puiJ@NVOJ)=GtG5LUVk`((j~vz7nU)iu8iue7nK4~Jz4AQa(`l|Q<hmE{Ph
zKsjoD5J7H(TFy4%=HYP`Q6N%T?w3^VRv~teos;u`sP3<mi&pKsIZ}}O3fKlgfkx9<
z4g*ne)j9|EPuJ~0)x2(}C*<LQ@d|8Y29g}^^H2VD^<U8xqT`E=ja5vHND?v3pK*No
zQI>$+JI*0%mG^qE%{aGk3wv(=?Jc>(xcXmC7PLKO$>dAF8UaKEOI3H^;JC+dazW8)
zZ^uRT)=H)gm@T)gIr!S0@86T5J=qQGKIziu4}5F6%8fuBzz>Gqzbd1$^hd)NFJ>`+
zd^M~YkL28v<mTCYs*G~cN0{7R8H?-Q6Li1e_K03f9qgwt>-<3vg7^Aih0E6Sx&)Kt
zn_X4)T{L-aQjgd4F51rT<x#YBkrc29n`V9tSP1&W&&fw6GZ-Rt3!T4}VEw$&?>Vuq
zk44$Kz&obFG2hjD418f4$fGKnyi0nO@BP&JzZF(k*iK1F0ug|2`tfe`_?SpP$|8Xw
z^{C0_;&$??I@v)3gBLLAy-*AXKW}fI00VJ89v;vmV4(q5V~qg#WJKuhcGmMg_Y6C8
z=nCaTHg|YPL6Eq02)1kXwze#$hb1`>&hyQS7E3YF8;4HcprWCP>9}Dj_}SLf7;$6j
z#(T_<SFdS7g+=56K#s&#O(DeLW#;D6)FkYK?S^aMp{*&6)`J}X6)+%+rm*{#G_IP^
zUkBVfc5yM}n`|z&GCQ$zK6;cWFJFf&U*cHWm@rLS0g0pNV!~J@B7FW3$7;{JkG)<?
zGgbf=V|v#`i?^pAFZW%ZYYiWn^@f?%6RFXnftg$U4<`Ul!R&17)&yOTOY%_YfRylV
z-%SQipEbSIBp&zeUfx`ycTNKOJrh@J8vObkVa9WRKM~x<!fUQ=@?|>)AM2db$noE@
zQMPTTb>u70hFk6Z1N|z(90RS6!Xq|TlvOP{@Y^R{@trMp_s^C9UWaK-@uRBjN9$h@
zhdM_J??7@}=iWX4u#{;I4h~FK_~huYQd1ET2^*4g7fCkMU{e5*qJX0xFh2E^Bb4#z
zkh4Dd{CFp<p3+euO_~sOvp#_$iCrtgVd3hJFlX5mGXf7|Ff4Eu7e&_fcEs*bR)!kp
z%8mQL!bzSJwD&+NK^W1On{EiW@0x&zEcADpnwn5gY0qm0Tft~@go-FLx#zk{+)+sd
z9>#siOq#f|&158)B9hGPHR7`fd?)WAai*LOoc!$pU<ZUXTFWOqBaoPo8IiS?lAG}t
zb?+GicfYJCe7Eg3EM%7D+Aj6T6~21+aZ9%GRV^~7(_c+VNf2c2oLC{%mP;FMmHBzo
z(*LE#pR>1MfeP!IjH_JtcGFg_<GM6Bdh{J6T@2&VY~z;MtvBZCEqPv85HRQ(m6B=3
z@69<A@U3(pJ=e8eRrR;P%fG^$`&Ggd`!xe->ME^>BBfklrFu_Zctb}ZBv2AsDh06!
ziGUKc02<u+4vqfGt6q9~A)9%P-EcLb;$q!oRexW7jB2r&unrC?&OMQlT~M%Ncy?}n
zK0;UIkR%{y$N&_17>{RuG$(PxQG|eA5`dQhkK3fL!sQ&?e_7d%|JOACIrh*HU=FC?
z<p)nd)(NUD<)R)?CCoFO6AJ_gvcVWpQ`<(f3@4whPd{DYq(6X7oLoImnD&WUcHK2`
zleUv2W=HhQcGj9(1!8QWlQc2(M4Se#IDYc$0ZW2+n{7#&pWLn!+&VaF$_Gs1oE;qS
zU=$PEN1j}I`bpN{rSCY0@InK{aP#0_kLKY2821idGNwZ${a*;6@t>BhaaQqw;3sk_
zWPpym{#K;X>R#{+qhYrbdq!K5b${6j*m)q}0$t^iE=oyz8d9q(ftA`G@P*f}R=Cz%
zOExD>_VtGDSF@%V%%mp7HPTd&S-OeJMCcW1=<~9=3BECwOwJoVKPl6+;jE`E!MiWY
zsrF>(!~GoFb{)!ep(2n(R&GwHT8wBo@G^l&crp1`C<+<AEiyt_<8hM9;ijPJ&ACEc
zLZCJasQZ?srw2W=!1)5_5zkME1-trStAj)&;3D!KD}6LJufNX?4qAQSW7Gr#+0O1e
zXhWy74fWkW2L4%Xa8iT}n*E|C0eTHkyUeC@^1*0B_kHS=UL6T{#(>1$F#Pd?$B`q<
zuA;4KqM|oBB9t%7@bVSyi#?d~-hommrWGcw1e0vzx2r5R){#1d!fq$jjK#Js)D+!J
zlee2%0xxM$B;z@~wZr*BAAIoZ^@F1Oru~eXcMpr<h8p?){o1`q)P*9tdTQ_I`ATf1
zGJzSq$!n75NhW^aQ(u4W;qu&q6o<CCPW50D`M^zh&0GiubcfoX9*_)A<(jJ{M7Umj
zTJIJ6%mORr=HX=G%E-r+rsT<$H|>Zzfe)8S>d~avl;AP{>rQZa#bFtjoLo7ZvecpG
zn!n<_>aJnFOwAamkxfS63$xeIbJ^8%ugsH-@Z{#BC#>go5_(Gb*MF5cQ@NN%-qkHS
zFU(<CvX|0VR5jd!LC#u7o2KBoQ1n3ry2@{BM*hd<^Gi)q1EUI_PP%C*>Howrpe<pd
zer7G*hNch0<MH7G*8FDA#N_1i5jW}JaBvd~0t09$l$(w1@uv%T;1IH3xUhp2ZHUii
z$ewZ<Ev{4$P3fH0a5$Oyl{6`ZAtth{y}|CeA69ai+1XT@T1jYgKt)6sz(jLI*kO<P
zOmyc5%(A!4LFCY(W<MpCU~o>uPn8T`w#A$vV!<=V^`4%HgO|X|6_yTO%gdJ!>`dPp
zdA^kJ_+ZczxI<WY5J?ZOpD8ImwP&&W&-)^`c@_4ubxw^v<)J;Tw>r<h{V˕_p
zt)_r$GxR-|q>>s4mc+rSZQg5F7f~NPE?t85r;n~wyU)P=*XZpzy;>rpm#+FH1JgBk
zH#gHV*FniZyVpVVo1;WM@eLS2a$q=3j(=W`8oF(J^KDH4(@!y><eQ(LXbRVICoFk0
z(~qM*wI$yPCDXL@s;HcCkduq5O$tCX!%gDFdxE;goDbI-6}gc48HF{rBMr%YWfM0@
zx`w4C`bD1L&|9~l$R}sv=9XZg1<~N(yPH<=*ogx}%KC)J_XQudjC%;*i$VfYQ4#p5
z^6@4@!21r0;vlghbQi(Gt!13aD<BpY6v(srQX<t7^dgurDffBD*<He485q~f;peuA
z45QaVbJsi^6da7HE9Ip&E1hygDXY5~z&R{^ZChdDLh`<opE^d)liz1;`nivpopg9n
zdy(XVv<b|tHauYKMBP<*YkI#rrp`Lw7cPj>Z5Kw$rrlrMy8eN#cxp*<o5sk%buTh_
zI00Don|s++RK43q0_^oxt955J#j}^4%5`pr<OF1~Mfu%CKPCqD;&HC+W0$Wkw5^A$
zKAazHNcXnqaOnaS5g{wwHK*>&A0pL41A5$DAQ`JbIY@#ZMoQm1R<}2mcIydTeLkD}
z-$Avnb^(&M4I@Xl^R8(z6^!SUrtaR36GS4cR?cVq-xE0cR>~x<y{%1z>J0et0Aahj
zypSx4y+zWp72>dvV`H2J4b|fKeKg=;B%)4|elTH;kBxR<--du(1h8OLhsN#+JC|xQ
zHvmcmYB9qoHUnrFE;q#MzM2II1*#z-pD4JwVpbVBF@ewCqH?kLG!mt->Vihg&F$yZ
zl!sEEgTnabed))q)X7(brk%Bg5s&nrB2t0}_P?i2aT7o$Seaei(s6K25X;8jK5AVQ
z;bHyJ>sDhnmE@$Yi-=EU6*d9s=~Mwa+aVCKVeol+SWBsLJ1L3|Yi)annO=*5Yoc2y
za`fM9IpE8J)5%zmKw33?V2M5To${qp4Cieu0Qz?K_NuiplxDjU*Mkq>X>zt-L&<Ik
z^B&sUZFP>3wGyIrFByTh%b6BRf6rkP@fK8~m!p~qT$|4*4rmogF$}c`SV^7u*<n8k
zMhFTxSe=Y{gMGBWYaSmo+r#}KP3x5L9;VNl;<|OxlaiW^Rt-xkUkbW!d^IM#+nNt6
zA(As@U5gRG)6G}sXcK(Ut4d2xAw@3sHHfb80=0h&pF|5IBT5)_f%^ONXF1YWQI|C6
z*e?7_v%?UB5{-nfj85<hF{W+Wg2W^ywiP%T8GZbsyKPJa=KyOL(bElM^XQb&I5hJ)
z6`#h_$GL9>hW`%K+?d`p<f#b1h2*>V^cEqsx;uA<O`K=0aZ=oXEDI_v;p@lnceAp(
zVVXT+<;4$Jy@Kw7gM-kenZ?CllarLh=LbS63A$ga$)LT5d`Ol0-?W`sSKtJXU1a(+
zTH`}Q$3U)Tb6P24JAGRL3eoO>Qx}z?8*q9_d$ldvybioLU<oNX$%YR*CFSnExhr;T
zK>4d^z2y}~7{I-Ir%9Pd*JtZKYRA)buFy@)t!L?2f82T5;9&@np&bKa*{R0*x;vPp
zb!tW8=2mpb{@=>s9)P71Bj3zSENyY2u++2Wvll^~{390s^TswRZ!hl8Z$n%S+(#s?
z$~_B#%QT|4?j$Ao8b=0_Mkdk|N>B{fwSk@pDA*6U)et~%gL)2MKs+XtQXd3yTuCNz
zq*v>^3MOM5E4U>+vj8Ak)ClJLPAMt5#CE{l=wF8?mtXDA=-j62eP_Zg{k;Q<2qH7R
zhapwQRe4MII|6}#1!pdJ+;6qj@r9~sB&Ye?w=?1~B-Yi8G4Lo%rCO_;>Dwif->Eq4
zLdz&6WeWFX$cQiG8oDJB&sabWP6LLs?_Sp;?=b%8HOrN=t~N$HVj(>CdE&-tIYRdD
z`Lw?4>cV2StE-C!lq=lFuHDS+uHwE^ZzEk1g!}&6w~5TA$F$89=$e1CAz2I-TH^*s
zM#HrXf4!capW-}j8SWb-Cn)2V)HECMuFN1g|80m3r+i2_FZ83}b00o@xRv_IS{tdJ
zBlh?8v4lC5>!inXX!m#|$$kRAfFp3LMI0WACNfw}{wMH1E`Tv#K~{bits+<3W4DbR
zd5Wv^dPXG!wO+GP--HTQI=-E_Jyt~-015c<g|Pp7PIFgD@<0a#ly*SI7<#Z1_V?ca
zZyPR*giRgJ$F8o4%lkgK-MsXbj-GxTapaI%zT}Q-wlR&f>&8v<^yyQydLS|1yQk3G
z?DZT`D_{yoKNcfdoj)XL7H73IU^4~3O+enZt{9Ag7T)v9M%?4+U4*&&PM1Il1%{28
z+0t?VT=5GoE)Ty4W#mG0H*<yO<6!5trIk_;J?@)GSIsu@HM=a{y#5{&9b4b?oSf0e
z7e^p13m@03>y3t}k1gT*thau8L1krcA9=Jfx@L~oBREXBg}_{sZo7NeEa$1G_1mMT
zG73*9>hK3&J1f`Mx7riAMa40RZZ>L3tE(tNCE&%-12?wGiE5JYxMcesUo!sZ7W@*c
z!Qs4El-?2}$Qh|Ndevk4!@ezM(pk5BW>abXA)KuSG{Kl7>gA|sy%k;?cWl;#$9}kz
z{W1yFu%IGi9<Z7abp3RANs%vT!K9j{)|}^^l|8E`M}VCh$@}-p_t;KX;=fA{pS(LA
zcJ!H<p&et`3IJlATV93R7#0iqwFGR@(YFHzLfoeUZ)h_U0q)|1gKh&gWCT%uupj^$
zgQ4-C_z4*08tp)QteTa^^GjQ?=tacfcoqQ?E2Jn{ANX+x)Zeku(YtqI5Pc0^t<=j*
zbbf62pJ0Zx_M<{RYTo0=b(TcZZH|sEb@%KVdvifctYO)Nbpy3^?>Q%!vtlEHJ6WQ_
zBCr;|OPR(XU}UwjAsAdi;bt0roLbMegwxrhyaCa3N;x0G!Y&<ys5kYf;Xz!ietzob
zOJSRFM1MM=DaSB_Ns4ZKE3cPk$3VW7eZ+3z^~Qz<B4c6UE$5#emWyAyqo%G{@-+3e
z$Im|+#f1tIUWtX)Wm)+DpQzqM2NMSl%j;|6*8B7co+|gvR{nFUMm0-@E5Wg2azrAy
zOMqMuS_1l~v&K0zs^Ckg=sEF7b&``>zf9uuZnQhE;2B_?Yn}|QEa;8#22XJ&A8?dq
zMOKQwX71OxezoNBOHSEq9!}-h@8X%0GS411{sf$bD-btfXJGp|7^~5+2nd)TJ4Ob>
z_~SD7;TDgO99i(YP&Ka7(S-rRR=zZf75=>-Rtt5ME;yP1Ivm56KgHjCZ|BtHq$)Oo
z+!J(6Op&3XZa*YxYi#A=w;T2GeDvO3kmP(Et4a4Ol>XM=KRrH9k6k?`o-R;sGcqW=
zf9lc*=(h@&ou}*j)(DE+#h$X+C!YE@EWqA-^0*CzSCr9ABQ~<|-O3{aeeALNpE^4O
z)BYQFHQL%3PfxsXoz$>0Vc9PuDJf*v0IN+~`Q+~xGJe{jRgzD5QDyU_VC!JygOK%j
z29h;VhGP__4V*UYmebxtZ4l`dmm(UI%Zb_G5JIY3TFS05s9)pZRXOr~oz=;QeV+($
zP=Iq~-_6b(y@Alj`;W9e+ku>hX@#iR@r>T2x{>x7pv<zyH*Nje$@@5LYoKcmvzfu^
z2PQZq{W=ME?0xAm;v9PW_Dh0OzEs9Pr6f_GAo7m_Cy#gK#fvuwKubOlKNV=7)9jHb
z9McM)WztSwP_Wvici&1OEOY-=Fn6*Oh<#R4!b~2nI}E@9=`p|)KpY0WhAtZ13<TGL
zp?)m88sf%7VX|yw!o?OKON)v=dGv^YUFY`vKgxm_z5a1GMHxk-52AE|%+t(g0VV{p
zCR`3BB`3p$8;F!)n*o>}+*znzIs^(9Ha7Q}fm*<Gd&TZH)1gyqxLR=((SZdjVzU*<
zTqH2ovydU8gXPM_7tdOQ7)ZpgAMNJ~qpi&NosF1@|JL_uz<5bQ*<HJk>5KJa`f+Fi
z`Q3w^m?b(g<0-#Z$90U!!c_>^i2pk6#>#HdW_vSR<AJO-7~f&ztJ+9M0i1FJ0#TgS
zvQoqJ<JsnwfA1caNho0SJbtkbv>})v9_CevQ@#GpSV)S8F|g<KtNX!k{Xk{wMQU}A
zCD6y|>pzEvFih&jUP#W%zK`p1Vqtg-1W9INr<g)gq@$Yo(*3SMCWuB}s(#?XGKg~O
zInX08D=$r(e?wG-4Uq>#_xJ}7^hI(wHq8Kd!9&7%{4qTZZ%`aMD9=EhT-8P7TwH8y
z<>EHu22Bs&prY0r+#56m_@-dLH&OKF-*$%7pU7O^ch=5MjPUrh9Aga9JcvBEmWA62
z02P9Ngf~Kn1;jR)DQR4NxPfzXkBG8uWu*S#f5R#sEe)owI6Kg(GAt{+A|HLaK!WFq
zF<2QwIrgPM;zq3{OqfULtI_CCkdqq@+rnv4Q%K02wTqe&pfH*r@`2~PrN`(GkzM|>
zTNix>3whw#2UlRldF7GOj!;p>&)&Cp&KK-8v*u~4BBT4)e9$4u7fv>U{QQ&yNQ75X
z`f+q^`}Ss&Oq;LH%tspEyL@!aeL4Od0OhLo*;7?FtIvjvuz*0nfFI-P8lQ=iNrh+o
zp`VgWVoC7jg9HJL(FC4D!cYu-y8SouIw}_8an)h0V4tcTYbN85%&9(v76ECwU#;$P
z5+(=;U3zqUTkCgjT1s@SXLhoMBDF<1YUt4RSpBKJ^7N@k9TXGG_afYCr?j*aN<LFZ
zSK4hBKyvDcw-*R3{Z+@Q$5;KgLPU(?e$#NU{{RSwRd7m#Ihru($to*@yiamIXPIDT
zf_MwC6f#)3YGAexv6rcZMfKwJQkVEm!95S1$D8V>)1I(mZjpU8Q`eoM{J)o1zViQJ
zzX%(MvxC1XSd<V`-|EqNT@ET`xgnd`1jN55O-x$G<_|q3w&8w3a&g7er%g_ZP<xRY
zmj_YK`oN{ojzbHuJya`|C?$0srD8Y&S{4`tN(90i1V&|VbzVWrvhe56us0%kp*jdq
z-1S0nW?TAm!C%xE*v9g+Zt;I7vcT&YcChvZ90CFlVbrDxt-B=8tYQ(c&zq`0CMN3N
zFTF6&MH4F;&rm^6{J<W$*}c%$+RDe?yN5oE0^)x(P1pjxsvQa6J>}lD^?=NMjrFBr
zgmk(evKc!mtNoKQh~w-U@eJ7jh}z~bWIg2U`r_{=&;vi_o{1ZrExsd|-Q9QgMo6Ew
zmDM1mB9~#)o)R3W%nEoFu8;uPj{%m$N&)Ywg90LrKwwzxM9{=y7XdSPLm+R=vq}*P
z46x!ytGzcm`mTmFyP5x4xA!dhbM|*6)%$Oc14U~dpG&AJImv%k>~2=lm&jqq<*_eS
z`P-V03~{MRc@91P@;c%wf46bIZD@&3sOUj*=^vG>m0nKM^DD!*a)T=vSVYP4k~;)_
zsZaDLY<sJ6scQNUf2dB6EV%oo*`HxccI#6vHr6q%3i9%7re`PNqqZeTOR#**c_HkW
z1#QYT!uqVT_urox{R=r>&L0ei-d?99-YBC-pNr#F^y-z<hq{U^q1|N0+h&>-c^;U0
zk7s76FXl(}Vu`ET;s5JW%1YDTs`tC)u1)vvciZ=*xptENa`=8CB{*>!8}k~b+gWc2
z(USft)5g67BS-kqz~#f&*DUQl^w6MGAwefK;JRndQAyEQ{e;Glv1PnR5TO*Tp*@Id
zj!8;-Ra7+Ms$?L30;#-P_GL`e{k;58#f#~%2^mh27D}b=o;OK`_S)JMpBsj*RK0xZ
zGsb@rN-$^Vh+!q<K+P}5bMJz4%AP$Q*g8Zx&*Z$8<Ws-OOF&aE=^l;V<INj>KE5zB
zEOz6&8M+!eKTa%o^TBOB@4t9Luse6h{B=!?9dJfVs&`8QrB|iqAVGxo1|a|s9p=)x
zU2XHe?(TD|tFJnLhAVjY&M<~l7~nU+K3Z7m-&jYs3j%BuxvTs*RA*`^FvjsY7cVG;
zSFe7TUGv)rnGS|=U%~R9dv%2=fg&3OcmZ4;Q|V85@Ze=FQ^}SD194iI9~Ga@2I33<
z)@Y5(;7Co}BYOnuCbpJqQqc!<;+MgYcgpb#-F6mu3cdu=xVXFc3QeS`15?w|D5AtX
zy(u(F*vP95*WYUzezXsL1p2&(BPLp74)qw`A?UK4X&jqZ`~6NEp_qS62P*_AD*t9L
z`_HQ{t!K?db<lOF&KqFxA@YFVI_=%8f-Z^VqP^$W6fX_QaD#^Vlg4ZVyIv%J`E~pK
zER>u7R2&gvK@=550ED`4ZkU`r`F+6$N^vqx765lQV`Di(>T8b=S+>+)C@v{2r3u_G
zO&1K;GM`E_nUsWtV>@Eee>u#S7xVD(Ii5dX>kz549nAt3r+nExot^di!J^{gFp`=2
zA=M18Gy{Wy-{6Z_TR#?}1ug-k8=nT^PW!6gmn8K=!pqu9{yK}i@@9g*1~N=Ok5WFW
z)K})R`esXM%v-ilk&~q#4^`J7z(mX{F;6-y-uM`{m{Xpm-`b1z75V3j4E^{0&x)6D
zEysSAhW60<LC^ys5u*vfTlR1a<T1BnMhg?q6^JG4*;#v^89hfv;Rwtx^1n?1^mb4%
z&u{zk!?r%B9``M#4Sgnm_V$Cucc}e+2!5VsN*MpsqSSr1*}K}ITfzYC_F(KvNImN^
zJ7&ugCITo7h$h&*$8o1u5VCs?n_9W@OBh$Pv9amv>jSrH(p4wZMCf3z3u4_HJ>B`6
z<KP0%&Bf*SLt79!Tk6>3HkU1r)<5X1#9K0993oc2%2q>bowfQqLt`5+@9QJi1=lzw
zb&?<547_&b(TVHrocj>imzax`(%-4f@bN(;%+H0tFJ4Gv!Rf!Ter9$h>EHV;loJ9!
zlG1NjaAIo#n=IJ%p~@p{p7<F3<M9(G07MYQm>592itFw+&FBmrzi%d^7cC+tmJZU?
z7-Hc6Mo6F7yURTH52_g4wU#ovok+~tCryE0rWQduR!{{Vg_SbA-;-U0b;D*POiWD&
zm2z;pW44p(F)645Q^4GxnUSjl>+VFy!6E+DA<@+iDHh758X9#Lc6N4;Qt*|IjX{uQ
zaOEZ|V(fsZ1bxd}<e|8BUMb>F)O!aVGRAguq1XN`>!M`gLbp`nEQwzbINjC7O&<j2
z7$m*$N-Qh2%M-0XH9^p>95e2!VSxy}^Jh*of!mV`OKGb8k{#r0)UwhcVT1O~*SDy3
z3m?_B9*c#&V#$?!58QA>HE~R)<1qD$kvLMond5C*=gz0Qy-yp9phJgRVY46;*MOfI
z=}bw)izZ|uJLtd<`L2ltfhhZSy3qII>3_)wegnJ=HApq+N!WaUzr#6!5OAbw0_hqA
z!#}kv8=SsmErvJr#)WnZ#5v9A?^ak;@%x=7sD@%VeQo-xTRS!sXY+Qm|9e>*{%gcj
zn3*9qlS2A1p3n!?T`0ySEh{54M30qsd^>gRz%7^<WE#P6#N=<-*p=|lqzLfezX_Vy
z-|yO+=jGz^3*Mg3`d#@?fxc#9Qg-Y`UN%he9B4D}<A*Pm*j<P8(h@$m8V69h!3HB>
zgJorv+GtG@TlW2_LQK`_pA8EC4LC)K#p;t>q+xd9pVsTb!CF6e_L&=Q!nh3<38hGz
zDj6NKEb5D#Y44Skm4D89e=*U{r!Zil1hE7u66zN5ak?y&Zr=*?^4@*;aO22F%<<Lz
zQBAzJSauWTwsqFzOu1UAea+4aakeSU?>x0r(QLn%|JCAT9Lk^w9Tavap-7&h-r*vh
z?d1@!ZpLWuyKVCNYZCBHsEZAZTFyOaABAuDD`yC~j;c@+B8M@sLViII;$eit1p?0a
zor9u!*zG!UO9M4%u^?9%57I>axRouhs>(=+y(*J<{!+b#`j#q!?~=<>Nb`Q5pMk$c
z{?rs^4CZbytglpWR6qf%qLMhQl=bQ5L^g^6>7Bd97b-+cf*FoFpbcBnJ!@_*KuZ}v
z1f_%Oo;}bXHKbRIvK_+I@93DNbTU$i7Q7)KwKs%7UYs^#eUXe$2slfA|KW^Il78J*
z{=nHQ*RE9pMxS44{XU0{eslB1J3s7caJj!w4{06-ClV`PT)vXBFoW(u+9)izVZZnb
zU76}JoDbZ#wYH&&lw0=Zb6{}@Bq^USfX?#G$41MSQr{%Zb#ak~Uyf!XK9aYj+~0#u
z|3m0DXJ_3AMBWG#H|Q1psx>Zbk(hL@zr8!(in6OGm@mt(S9I=-nHfLfx8V&T&5xtM
z4XP@?GS$w58c4r#Vn?j*`U{l2H!D;Gj63RntKRXCiVtb{ojmo;K><uaFt~2ngV*7N
z`u?V+1r#F7?B3Fg(B`ud%6fkxBM#sFA2`r${8cH-Wjrohnw-0DV4|9uu=GPu<7HzL
zOR1V@0BeJB?U?tExv|xbsQQ9!i(~a&{mggUQs$#R*EcFJ_3ea<|Ernh4*x#ue5c>A
zlK%Hfl_J(o1O*j~_$kj7-zscCii#BCR#B{ZBH-(8{&0-qI)UK@xPTCcG294v&hs>{
zKEDP(hCO?V^YUhNQ@T&)!Grzd#|HPmrqXesG(F3FPqiOKwZeOLJM~?-cp$sbbGILc
zjo^@wMzUPMR8aUW!W9F?ZkVg#IHnhB_-6FKi0}tirdKnK9;Bo|ku&01A-B4N_D1_T
ziU8sYx7jZO1p(#nJh9iMRBQG#;cC(A{CB(PNDu0KctivcqBQ?~J9i>gatnj2E<Mi@
zf0Lo!>P+);Mei?XyAYp_tWTeCV}WXUj*Hu(iZGo`XEDB5+Yw1Yz|z`mUby4~^*t>z
z_(kZNeP@V9z)m63!2nK!xFttX82{hLciDS+cCF*yu}ZZ0o`;vU_;mY6*>W>KV0CYD
zUZG~qjT}npIE7i`*fBVm{jJ$MkSG{%HM{1pCd+_<pzrJ$v5FSBum3E!e}3cQ{~jFl
zO?;4#YtUY0>wma>T7^*4+`l!)Pgt;8@S!?A;8v21{FTa-=>NT0iIh>zfrheSjUT$Y
zBx3c!@Ww|(S(BqiO%B<*c%xP*>~;Fnr^xEMT50~VlBoQ!))EUZrjUA&(msFg8({w?
ze?tg*6#N>>l!|=~HM)!K*lFnFotzp(55f`)4k{H1!^c=|0@nvQ5?}BV@$XMpr3UhN
zq(FG9@;A%nkNYs)e*ejm_+x$<KUlc%%xWR2Bh{S8l<;QCb2#GqB}QrrdP{*Q8XNoQ
zN4HBlyVLO<xKMxY>VnhRu|a4g<N-DW21=I-pV=bD<@>fUn#L*fOU!>a-HJbOG`nFV
zF~jV?R4=>Aas18Egtf)(rOfKfg2a4U>>xmH>vFx7ZR7}`?nMu}V3Uu#!y!90o;aNK
zX?($F)U@ARf%iWm58xRpf`W+k3f2BQ2Su^=hpWuwJKl&<a46#wu2@<=DlB9_WvH+3
z16PTS-$yonH-xeaE_)F#2z4{gJLWmj5HKfh^iKQfEi=<m<HY5kTpu~IJ_3T|`mdcc
zeW%}<>G!IXQxc9A?4OI}*(RD`d7)d7n;R$GD>L=qi$>{o>D~MHX!ZdnpcN!Mdh$e+
zgFbagj8^O1xltHCNpe`%caUkOy>IzG2lcM>U$K~0fFW?J=ZydnA6PgRRnNV~#Ubdy
z_W%jea0-?`VEIMIi4#~TNujJt`)~<^@ByN3VpA^eLg4>S&%2!z6AVDx({XdOvpZnc
z3MNBd@T{tTGC9w7+B$5feSG$@*PtPq(F&robl8wjFnB}5#m9&2^;s9INCjhg$`&$R
zmWFNGM4m}(4kjjmufc0tLc-q1=Vf)Zpd!(a?nceW+`O~Ve~T+gR7?EA`jz<_gFp|1
zS8RYW)wP(Jd3ItYBYx_@U|$6rZrmQ{ew_p}uQy-QKV9f{q)U7BXaL`WQwnIYR;_fo
z*Pl7V`OKx1Z+h>n2^Rsb69B<TJB7r=dS#$HNQ=%i0ynWU<48wG2StF<j_jNqOuQ5U
zBu78^e+-sZEo6iByGMeci63z@=zwr<V$*A4q0}Ph+3ytFEO2$wV*R@X@JEf`+m>o2
zg!%}CM|a2x-iqsY=l+rrKtk|LkNDs7E6jsOp}P9p`B%p?%}h*)iS1a5D7y_&KJdfL
z)$E4W!79D_pQi~{s=D9vPSfd&sCHn>)W2hY1Y8o32&8J7X>=Myvgl}5k9IsD7{4-7
zWPTb)u=JqiSg#d4n9wdRh!&qlB6m_kLU~?Zz<C}rO|w0eGE&ERzPx-sX#zwZ>m!s(
z<iTWgf(|#7=hE|Oa?;7!8QYlO-m2b*A0;D~H_Yn>RSn!%Og1mhpO^O~P%utQqM^P~
zb}2qN8MV=4U$W9|C{19Ol~-VHb)2$Oz~rm8k$#D_#LN61QM<|<uE=5ah0G%`bE=wq
zy|dbxalK@A>Ht^R_s*2{%NQZ|OmflCIs2L6CKMHetwyFFDzBzcjqV+!h(APl<4(Q)
z9x8$Jd++I|zbO9FTc|sV8-H~4;XaQG9v++*>o8@Zki&p=R^@KDle+H`aVHb<-Xr;y
zNoX$oU`k3nyUuzcwf$oH_lD$uZy!AMz)7n{hu^dww6?+hYbV9w)iYwXygov^Pjkgo
z9Wp7}k46>F%=a4q_xKXo=z{=Y5rlT{z67XdxD1Mj+S*#AR}u!4WB@A{7RC%Kx&6#V
z-z0r}dt@TIM0>D532=7y+ATJ)XL!~d@je|x{{cV23wX?<0*yDyUXvXbWxzAeI%a&E
zf^Fm0ZQD30_siTL!>`d%>jmk2^3s<tcQ7g4rpn9yR!y=_&azn3PkNkJUcOvfy*8z%
z@%KFjE<%md!T2A?#bYq$^<2SZ|C0MN`F^5Wntr<bzGQ<T`gxh7^g6gdZJ-&~)1&dZ
zg}7SC_Mn?ay2Y*EyW~KzoBlIwleAFc)KK%QWbJvm;ljj)g+gZ|$}11irZ!I_$PNpB
zG&E7opy^p40SsC1?GnYY*SFCJk)NQy#LwN$?9P7*zx((1`PJRR!l`hZ+?jSJX9taZ
zvm2ZUJld@n4vWWNk9#!JNI=7{$E9?bs-vX^8I(+v<d|@5MwdWm0YM;7ZTOlCG)TI`
zy7l3-H#U(Quvw~SBQC1Wzu67Me5tp*v;uAcYOgYQ4ZgM+Gttd3liHd>jg{T2;s2|4
zDmT~H{h+h!{0Vb3OfJ&WBUh?2GHC9fmX5>rzeIlL+8&sG(^3*ewnrX0a_G=jK0bEJ
zRDdUH*8<-R?`6k8g)deUfA4>@`LQnGUaJ1<s=*1K-AkOb*lti`*Yf@x5-Rc9N$12N
z(1}<Q<aYeG)8O``vgZK<IBpx0g&pqvtGPS8^SIc;ahFxAQ#4nY^{@T%QWNOFxIQtz
z?4-!I<K&AOKC_49tPBBC9Q2=gB8Oes4V0odb+l4hE-4a}Nw42ER!XbOmy6QU>Zkv}
zSrb1jO`&%%Wum>IR7%v|5lbDo|D&*rU$&z}+3C!m`*M#z@#7K{+<<V+yhD9&_Z3l4
zP4M<)?BR{5AEZ5#3X;`wB{6{*^Hgz=SHD57*x-d9R<VF!TU<)3k;Uw=pPf>8b9Leb
z9}cie`YDf!vPWIBx;2r|yJIW)t=^E$=Y#3>x6j&`#>O&?kf8H}VGj%%NoGn=efe*&
z`)&;1x!PLr$|*#4ozc)!8^p}}K#BOiUid#8?aN6s8E&p^7|-w&I)7fq6(_x%iYT>;
zUPRNY`a%*zdjq@IhVlE|PUaRCe^%B|#4tPVox4{O&_50H-R9aB0#uWTqU1i=i4-Fg
z5(n0A4oByiASJ`;1*r5c90<2DqL|-1Z0`cx!xTahXofC!Qs>>>p#7!Uj0C~0TbCDd
z{o4-@tO$nu`TS~6;SN55XF(~i=q&y!uOg#LMoQ|?!GrNBDSvz_ZwP^+ff5`S8$Cro
z*3jHsI2-hWm!ILPRg9~KleT*RE2Y~?eo4vao}O^i3rJVP^pDNzq^AnOl6Np~0RaeK
zf-4+*R?l;KMQ&4bOF!N^$K^s9^T7L|{Wy1FEhdkJ#l-^M2L|FrKQF%B^UPw%*)#@o
z7~*RS%gVg*swrwUUMPP0<cWfUSJU&A|8W5nEE{D>qlW`)SkIYwcD3<+lw_n<|MOP3
zwkIUi(p&?EfoPR2gbT$lA3q*)v{*Ua(ePW%;`(bf%R>PN_!JfbztQYV{srR*gM$al
z-aAYDUkllrhKrAd7VW-)fdN4i+)fBvsedX(9yT--fQZ3Sg1;Gf3e<w`{M?MxZj1%T
zGm*;puY>&f(aG~wVgNwAr%%Nh4_NI917h&(iVz+S0(@qB5Hfn!tGC!uI1%L+EePXv
zY<@xVlzzm?2{yH>QeHBw=JEfOEMCOTsz#;T!R~X?vjW^w*s!Qfz_sfT%grdkD`(cM
zF?0Ul39>&z1JB`4QNAN0SkfpaZb@?=DsXkWCQZPdz%3P!?|2Jj2o|n7vdxF}4YvUl
zSD<B4?#DF++5$==_U~J(>w?AMQyn>+W4iX$_eK5a;aolG^2{%5Uu{ltFy%UY`Y^G8
zzdfVzf#gHlj`<z2^z+OV0lI13xBoUiZ$8WEEfc@M>*Wrw0F*g=1Ni=(;&ry;2+#Ud
zLSMpLVUIZ*4k{)Vg4E~qI7+83@agslZ=xS{WAm6%C<1CNk(YXIKCt#ttL@)6_UgC`
zJK$KAB1oSM5Ntpx=lSzF3615}c8%k){|8=`L}P#iDh1rYvqC%d9o8C~8bMi^_SdiL
zZkP{wn*!Fr6EveITA5d2_{YefejIz24*G}vHz@;aA3hXd)FBTr&H|a?;>Xi=K(UaS
zAxQ~mDtut<ntIQV0GUKtp+5*hFgl%GyPW6$1I&jSMts}ICP@~cm1^0EIf5h$^7$>f
zqN8<a8uB^ox4Txu|Nf|aA2rudIWzgQ^s_1W#z9&<hwTnU0BZu);QBzh#>62!NF;$G
zynR34X8Xlbx&?0$G?g;<8M4kdH8&#@dNAe7_2BFd`PaJc2STYhiz9yTGCI1wa9qxX
zZ-F7FV)08!At#OE%6Vd<8}j!)d_X^yG^+IW=VkNRM|_zUR@x8hTy~Ujj5Rkm3#$9_
z5O5w5*cz}KzMr2iAa#_b`XV^~&H^X4ZQWXKok&Mcf;o15`22Zv!3SgEOlRblwHcpE
zcnD3xu8ZSyCKeUfejc{iz7Y2BL6oI|%q4jam@c4PP}crGuD&}S>pkrMHnLYCvQr^s
zB|9rgva>>FNir)dBayvYLPAnW5>iI?N*$z<kWG>hlD(eyUFST{@AdQFd7abAeSg27
z>vLW2b>X4|?nn1_N8D?4HMSB$@d-r3pN@{iDA^hNgA(auAhzAU-Df~=2rAv>>dQuZ
z2;CEeJ7E$be&7?SI*-u$;hCkq9>q2fuOXqcVd{qF=IGBV6IC&`1s~&8M#Hy6R{PLs
zA=3a}FJfe3@`Tg}@*K&6Q=x@hR`I)D9I6Ww51NfZYXXpS%6r22+NtQETNNw>!rGfU
zn*m!153UHQodh`D?h#(o1dq>Oy0|^sjzPlP2KxlR5wch!F-B7WZa}|<>4SiPEu0#A
zds14t!-;ohJmV6ov`!31|47mifXSRQM-<E6AOfR|jM#Zy%kBL9Ia%G4ogPm`HWX4V
zR~jA`^Pm0z6gI%JM}c#1&TvwR)(J5ekw<4iuOSm<SSL*VI>Hh^eykIXRcZr`Zd3Rx
zx0KM;`p96LEGx0XB_aZzlb3hQPZ?MH5#8sM6VUwzV)wN*DdSX_zqVR_c<tGx#-r@1
zDa-F8l##RwnY5cz5B1-B$bJzdt9N;yX4cl5KO%4PYVU^KR!&AnAU*-8w<_PDcln7o
zyV&XQe(LM#kpdg^`gCVZmKp#LJihGrZ#0iWLI}j?dTv?YPmCBN_Z-v5P_#}c)N+G{
zz~^9OU<g;=nLY*<7`Xw(>3me@0&5=%@4}-NXtxx;ts^k!tF*b`zWI4zAcKQ!^S7Ox
zIr&o9CwYpDP3ntrZOV9z11q0PAQ))!<jELh3=y@U*p)hwcPKL9oK#BJK^z>!BRWf^
zB(KwI#7ob{U1b)v*J6-B2gpgT#?Hg@6Dkpih*O@Hmf~7PRQ5Xz-S4kz<xsC4H&(vy
zd@^-HB$bUWCMpWWDfO|9M_JqIw^OovZceC}b|pkU6qD`Vx4Jx|$0UxAi?ZtCZn^g(
z;-Q|It`E!Ui6zBML%sb9Fb4r#Ibf-p6d;>SSEHh+qclQ}s7+ip7OYGLFIF{ml(0+Y
z4>d<xYfIFu5<_{h6tXc!59`<Q(DJqgE$rw@UHshQpEol$9W1!X9OUzE13DXTAD`pf
zE&e{VVLe;SBmiO$@j#D&n#vLPC?|)S*ymwfiXUn4J5L;*o0<xxw=mesrs#mQ0$Rw*
zdeU=dI<9W?eA+?(+a}FK3l$Pre|(232mu|n?}>B8#qaOM0=TcLXMz&L!XHp#o>mqX
zcd%qYp1LH`G`I0yvU;XRc^@9JJ;~(n@pk;#!b`rh$F7Oe7$rK^&DmUC4B}pS^e6%C
zJNhtWZ{nEWoecNSGmQVG`DerwpuG$70ddz{DbGGQO?t1wr+fPJLvw<|hQ#(y4y5em
z<+$WZDcGAlgQ_nt#*_ksvl7JN257R>i;Gum-#)A?Z}{q!nta~;<esOW-fVY0JO#`G
z4^R8yHrLutZ-s`JJ2yHE+P^$dWR9`Ez90_rR7Hi?tIg0Zg|U9cVAiniluVfVRyvCA
zlMSA|STTjK3^xW$h$(TFVoBvzVgw0xI<Ns_bEsN?)AK3{ulm(ynV#H3b=8d_q?8o1
z`yVeeTp(erR|AH^*pS#dec5td{j1T^qDsWwQ|w$^Ypw1<MX7mv{%t2X@dT5r1SBOr
z?d;S9ZUUM)S?WRJa7y4Nbp&V32$C_j9G|nhRH@2$&nO3|#=x|`u5RVo_9&dbjUmR%
zHTq=fV|eH&m;4>#SpWO``v>qfYE1AgoIKfw=DM8rM<<At4_QY59U*Z?UA+z@FBW=K
z<(gCzf=A>;7sFI`wBIFwkWZKMBqgK=ES~<scHgjO;2;eFieCbOl97iz*d0O0*e1nF
zxi%LQJW)U^bo1>k?LFaL(j4>zv_jZjsnfWXjg68ZI<}j(B(sA~jIE|&47!LdYNc=I
zJhzgoMb56S<2?llYI))WFnIiL0o%$2tt~-cq`^Prr);#oO@%t^_Vla!Ur0DpOFYJS
z5+Xk3r#a3Qa+tCBn~$-VWi&Ks6s~w3Zt$vZ@MmVb>kuLW6X05q%7h1Y!9TINqB@9o
zP^YwR?XFac=)r@4JSj=9U;!NR)y~AYi-J5HR&oDkU)Vq&frr)=3#O8*!2+lY?^rB)
zZaA#W4_3I_+@e2iwDjiS%)^X&Xsdp8IV4OOUHG>~4pT@<Nj<Nqh$X8hsd0W89~)ax
zaaqphE{~wHG7oJ^ffKi7E8xOUpL$D=cQaKFTpp_1;vz$6Xlw)?E$bZh9J*t)6?btJ
zV#&uqSRr7{W`LECTW|{C{D8+{qB|3fhOd%bh^1(7j`5QZ9}Eel?x7c_=fm!q*8Kkc
zqG`krM6%y-L)4X=oFnNWm;Fd-j0P;SNBIL5s%<arz$QCbQ)*sE;dO!Z(=PJ!$Sjsl
z;h+EkDI~SMqN>U@*VvNcv6m2W-T?;K^1kH8tv+Epm8u8ym*p{P?MY5aLEc#H?g*It
zKn*~|-$mkjBjeiX(fQT&>z^~uX`<wvl9HZavJ`Z7EzT<_(<_^gt+HDM0t_<S(mmW*
zxbM3;=V=4!)Yf4(iWD7hh`N%K*)!UFetg>N`K1Mhio18Q%?BnSDgyor{GygVXJZmb
zzoIOLVXo?8l8HQ^qB7tlZGYOZVe~wP0a8_Kni)<dhnSB9LfxtT|4vV(>p*F7{s{Lv
zCqRp$tA?!L+&K|3G!NXoyljFh5HrKuI5ub3OFqJlT80fgKn4*JCBXGo5upRvl^!dP
zrVf7;TD&(}tpFAd9SZH4q9CN`6yvlYej?2+wa*Ru-`90#g%h7ZIc#5Ob@`df(+Y6k
zFv_($;)Y);#}15yCNhGi?r(ZOYNy1(Um;B+k{oe1OLc5j%dPIk3Ge#mSl=AG;!CEp
zul~CdLDk!P0Xrk)6cnQ4D2cPd{Jhs)OnBlVBA`~`DZO%RnX&Wp=Y~QVfnZ5w6c`J?
z?3o%K6#sVO*K$CoZ8#JQUAhoT96Lr!!wM$_a6p;VDXcM8&R}eP+Qsa8s|CIM@UBbc
zzyi^S-s#BiQC@WU#7lZ)ZSv}rxy##E!p|1Wx}q<!dH+;M(|dXhBvB|O<DFK=?Dp>W
z@A<qPMG_IQt{^Y(H#>YdO2f#+#LHyVa9946?oz*2uhRQgH73rF0|V8sUSY6A78?MZ
z!XkW8L0Ikwd|-B>@1>pT*OKi~6Y~EtlCDSLifkL(pW2EYTnHbns91wDajA|d*hswC
z7#b$Ii$6SKW&kkP^0MFGeo!WgAIz4I4?2ipi0#6Ge@$F`_2xj&moJcPdniB%0wJy<
z_dG0IF!=x<&oqFi>n~OAX2uSsH)${*6(l6kF#-nI&jho{&9`4KDnvMDp4Y!cZ^jMG
zIz=bkY%jbrsRL`@U<>iV%HS(!J8Pr|_4;SyeTX^_ftyFglJ=7z3Ys3jiS)OYTg{_-
z+00_VfJIJeSa9JPndY7*Wxo(y+Yx&QlVew)dggmX0burph0;n4>Q@l^&Ny9ny)Y^r
zF{`1tA7d;$D(B|kA)fWYsi^yz;Fz7cif_+%yGcQ+)tv_SzU+?sYWm#3t?mHls!ZX9
z!*z3Ork@mN%Ld;wFJ!A{B2)0%2PYOrI#LjoqT6vN>R~rnt0RzLv}jA-g<f?u!FHkf
z&WsJ*TL8pw<u31w=RvrMaE@_w+3AeHg>E)$Uno1m=sq&r`fh*KWY^6gX{a1Dq#;XC
zMI3;eOzOWgm3Imd5+GseW1c#fK-V-hkl*n|sts;Oa?;^QeeCM^^ofO|uE1GAA&vkk
zivohgDbkO@B_e|3C{*LY1-1q8{ah($&tQH=y=M0|7Gi-QL@|)R*4D$x398Gs>BS3N
zN!PDKSzqF_#Qlhg9P;j$P*`IXB_>xYa_m>bNQ}y^KM*Sxygn&Me#pScqJh*1NO>sl
z+Mq+iK^aNOp^FM$3MYZnTffFD0;*R(yS=bxN3@-9n~tvT!|ZHEM#lPwq_)1fk@;kL
z1x~w|`x{8vKeNX?O*#aI`6i%iOiUpM7_d|TB2Y+Uh<o6nWxV;8T+MbHsg;=0V7rlM
zf-9R;3Y~6AkI;!eo*!%)->sLF$v6{Us2=L@dSX-H8CEQ^t-B!ZQ)zB%Z=?^ETS(TO
zTiT;&GO$?(VENmdg5CYn9IfyOZBdi+9KPB)ae$o;Ux@ki+>^+b;={{vQM!B(E!@Yi
zv5k&m-}Ynb>LCNu8R_X8BfOhSaMd>ZF7+OoX{fwsSi?LJrt+e$Gd*m2&2Q;jeGv$R
z8qZ$DH3aRtqyL|LM@@(Y?;i<#qZOs4kbk1vN#Iq9KL*Bx*nmDH%6eh88Zs)~%}$3!
zgc0>SsnlV4zjSFOPT{&1`e=4`taMc8y`lXO-u}x#jlVjBwZ;X@ei+;7kXhP2P8dLL
z*O@bd|D4Bs1uI#fMGx(Tvdo7retr;{`oQ`K*@OJ~uf$kk*Q{zOPUVZ8r!CXIhr3sk
zWBUae<JBnxoZr)@!&;%UY*dWEPU{leNBMwYZf~b{IEBW?V{ZdRlCfAuTho2t?}X6i
z&_G-sRKt&mv&Qe=fCp$pAW+4thpZ^%fc;pv$oo8gad;O4EA1n#p_@$Sc-_iZwj`ye
z_&)7<UFLOA@VQ~}p{x&)f$aiL(j2L+-t?r&OZP0VKPvVO8TQ#PY56-S?Bz9APCAN|
zl>^8t>gswEe<Lx`1iE^ZA54?B5<n43abcWee%A1^foWS!<lje!pn>NF1(4pquLkT2
zRBQogHVvU_(bHFd-ZD3ET>oAsWl$i+1EsaTtb5hBaz>5C16Fo;_zmH8CIU@y@|6Ex
zcU^v{s!-%u<RQf9o7^)LPe^OnCnIBGfE;a2+Cch{TS@8(ZwbdH&%1wm#(l!Vuk5n7
zUTGf(kZJ!=6f+W3s=JQUieV>+jLiM~$io5NFYItF;-XKcc#i{}XR1S2$_&{w(3834
z_uVo8?++Z<g3V}BVq!m|1k;z$fG#y=)Xs|ezF_!hZ})*hJS}2CMqPp&{G$i-m8S9h
zRO)ym9@t?jLP{(8MBANQE~+?>6n=i`O{+8`7r!fOB$Lsx8U8`&9WhtJ5K(C@-ZqDB
z3_o}uVdJb7jSS(F<6>YsY9rU`c~^tKmOt|Qi~e!%ew;R!DUCYm-QRvj3)_UL@AMoJ
zk#srKEAyoI;^9i+r<0?soYjfUEY+z|wW-c?^s*mk4DKRz6^eq-&M(0Q;p3J*2NDI1
zvyRRr`oHmUl3;{0V=O*bo^!u{22*vaDtND};4#2>k=(m~A0l}|O;=YJVs(4n7KesQ
zI>ZT(<7BIlWcYGyl#^J?(RRq+GpTzoO4mvt5R-9;!Q}t%^Rp5&v$5eNXg&OhCJ4Bw
zqGHT=>eusS&7(9iH=s~#Y&;yBK3I*s_`twExE(^yIZuGAw^OGgE)d0I0Ip>>fw2sE
zRE4Jk(V_uIQT!rY-q+vP7k9)s#~9G?_L$Sz;&&|a7M26xt6Iv|erSKG3#cbn(pPP+
zPgj5b7L+$NrR$r1`RnzFfyJst*QztOJ`-nx{7z2!JC;mWv1Sxg>+L!0`Dw6~ux*JS
z^D{1*IrBw>;1EHkeMJjmxvTX<w)2%}n?MWUmYW@EGSrQd4l1O_3ewIA2o=n3iFn6N
zh`V~NyJQ`qUkp`8yZP!{3>PBKWo0AGD2{n)3d@>xIL;of`Z7m<e1zYu>kV_UAz4FY
zhdA~hc6CMWawLG>C3-Z$(m~Gw8d}a=SW(e`VjttK=LB}EAEVU#!gx*^a=^uuGsIzV
zL!(Q;B#GjRdzWM|jde(5z>K1LlO|y5gj_d0{XzHEPvaL85QhtVr1E4(_J7U20J#bO
z&9^Vm%9!RJH!{*oSBi=O8{huQLl01XZ!g!oT0UAg#5ocXsvELrup$0uue_tYww~TI
zAf>TSTHZlP?Z15sJC+w9QRDVLj|hv7o}QTQLd;}1uR%c@dY%40a$LYn%$w=Ow!C{E
z$jZrCUR;blDE%Ns033oJssK|H7wqTf=hNq9hM|phk=OC{uS=CJ?}IOZ$I{WEYk%vT
zZewNDu!b&PB#V#AaEnBucH?mDp91IzkOn*87w6~gUOoWi2LKC^1z;u&gphucJWFeL
zaBtgOvMl>%#kcbYJ@4qvs%<R~I-B3$)_$yR^jAOYxxAr&y3R%)*1qePmbYzl*vzXc
z`65Slmhc%%!|MA#w-4x`mC?+S4_GQ_8}o+;#q%B=amGP*4<@dWrUa~fMGOLZG@I-T
z2aO2K<N!MCncbq@=|W2VFkC<di@QVAYX~G9!FJIx)-<V*k9A`;e~4KnI7zIAnAMJf
z0ccpI_2ruZ_5XE_dJ-5F6cs_T7hXILPb=D9%}88d==&Q;cKsRa+bR%CgM9{1pFR7f
z1h)xn%(99f-6ZkK;8_Wj+)7G1vi&IyMJP&(T3GBzDN)3Fr|J;!-ptHQ$OWng#II|i
zjq>y?G|K5M+eKOff(LwIL&H@$&G0Mx)AY<NEzilM0@QFW>6!HjK#Chu8EbXDg%;Kd
zQyzzci1M7e1`%FL%8s@DEHv<9!Y8Yvr}s-K<N9^Xk0BIt>0^fP?YCA+kkF+@NAYj{
z1Hk`jIKY;iJfo?piCeOH6pQNFm7n7c<n&`&=z@aTt;A9^w(ov#%V>i^sl5?X?(^`l
zD$tSlpV$oB2+PX)AZ34XaB($d8rrCn*;*G4Udmq5jILPXJgq@~eLH&@m6v$S#N+mH
z<e@`)0<6D_2C5LKYk<H(^ab<}C8OpFS*MDv&_}6vo?MPI{E?3hg46l>Ur#SOY?=P}
z(P)i|joc1t=LE=A39;|oOQ(Jd6I4x1Siks=H%I>q`o>X{lL8JR0J?y31*bOY_HBu~
z5O)-^D8&><w(qpRrj=*v@TdW$<IS*sxjtkP0L*xJUaJ6A#t6IXbQ$U#j9?DCAx+^?
zxTuvCC8Ob{$V85e!3u~^A`Fpi44diH#VduFoWOV9y0?2<lu^#9>&n17in@_7+U-I?
zK=5ZtkL*7*jV_jvr5EFf;2T5z7Sby%Ejj|hBzUl@h^*5?H;U&p=$h5xEV-L9DO>f_
z$WKr1Sb>{lkc$$vLkMq@R90pnKzaTA`NvaIk|N344@n7+f@()!=fjvdJ2HFw+ar@|
zRpV2%5A*St+<Xh98&wf?RMV0=#8xI%SD+mQ=|kMr%54nRb`z5?yi&P^CTVOW)kX!P
z=!bp<)X`xL#jLMEKS)3b`vmpVFP2%kgn@X)l?{YBz!Ml@4=DWkW@Ap1id`hJUF47^
z47=iP>T~k}v54wJ;A5eA`QpVO<r!#B5gV~Gd3NdR)@z5?s>f4;i(}A)pfC~$6TSm2
zhb;a=QB=d1(9Zz}Ft0r(mIPDAUFARywoJn7`}??>GPS~wNt!TJ?ZY9H@*AN5`q7KR
ztev32kMPHT+S(ZXZ!(gT64$<?AbDZ9nQ6To0g`a~`*&6D4=ys6d7n#5OVbp&2%`J;
zp)s@F%kkUHPl*S*!EMw4%pkRSszXL#f86KPg_?F(&Y*N&Z2}YhWTaDQ%{d-AiY;n2
zcT))X22&_WLlc)e1mb7I;v@x$N?y)p$h7_a%iG3A{FIT-aqpfjG^@yDEa`UPYD#JS
zhIjihYc)b#+Q!OVKjlx@u?@S3?r;}kL97li4(v>E{;*e4Giw$$dw9uU0lnWmiXKXb
z;BcSqGodGpnY!n~r#c5qwM+vIlT^9*cI0!HbBo`qwZ%vcpCVhn!%GW<te`E!j7P49
zI1Atdwibi)!7HA-6<y;6-OhqD`DuW4WeJzpM&S5ipd{*@dl9CI!v{D4;qoJ;n5?iA
zg3FeQ04xMRuEX);HcNZg+K;FTUvd(ET5q$?q)yuFGZ2WWvHB;u8d#O3#KZqd5}DBt
z*Vos}{h%cvju%t0gasQjb7;<4^BFM#0mrjvk3Nk6VpGzShK+;9#urEQND0vE1B`-R
zaSct;PlVSvNr&gjC@J;!_s35!U#i?d^1LG3nZj-tAXMh#+Igm!zL3-V^L-)l&!X|b
zpEWLiV1(NQJL1^sgju5DuEOhz^^@|%h$p?+?`2kEFD>Fe%VxB(d0F`hu^=r}Xz(Pf
zclpWe_RK^H85!@uz_g=888L2dp<s}na%p;Z#l3?INmlu`)fD*MBE62s3=#9CW5=2?
z0ujI#nHU>`Ny3c=m#!KU4mux|i!Vu}f<gQU43(H&W(&PtP42h}dK<6Xmu(c3o`u5u
z#}8-Z`F(P{dNi@C?4Bpr7745N>BXX&dtD^OQ-aU0H_^^9Th}vSfu-^MF+^M?Y8zJ@
z?7|5|ZG1`soC4I@o;{<0D$tm6HGxh4Ha2E+i1U6(%C%iP|DMH2#p}3gDS3QV?<RRe
zKn0fw<XS3AwT#BXCg^Ul0}!q#e2TU?JmRphu#A;Y*;OkY`O5xZ6eZ|+%Xy>QYbPSY
zt(OwA3Y<bwJK#3ZSW_6DTmEBDAy!wn{p4yj7B<Pu;>yY}#L!R4;a9ctq9(v%b-a4U
z2I3J9Ib;yPS`*ir1l<54nY$xP0BxZl6%4)oOJlMpftp6+m@Hy12n-*qSfKt+KDZal
ze4$Yr`?v>=GAI&oAsVM9tI<q!p*6uYHuM2RH7>+2U+#3fq(k~)ZEc#{AtVm{4Hto@
zcn-%6wF+LJ=rhr@Jualji!rQ!_!YL}Hro3WWe3943(@YEo|3~c8t%J6tgd~6>~zoR
zA^^!jMGK)3F5b+{TDKDDYS`FHUc6v2c?ItVX6(Kf!x5J3w*tPes3ovi_oE5NDMGg_
zBd19xLQO&7YC<3ao#_KC?k4aNj%uhGGcb?_H;?{WU6+$?7{7S`ET`FaRCa~}SHU0q
zSYC$q(+tz{1ImQvB%=OGwm_nGVY8#xJG{`Q%a;(<2uTlAQ<%&lU&zm-=iGXNK&R%Q
zpr!$UayZ@rQZAej;GJb}VNSRw!{$r<!s_bu29Lt)+mI(EKuVf{iT?YCtl|7!McqUT
z`R3HX#*|OhT-w5iQT>gk)2pIb;5~UpCD&NEaojUddEi|l`M+38BxfCN3&15%O0+tT
z_(6jVx{84y7f&m4KmP3RK_g#=rZPn?hCiHj^#!|oc^ET6%!bc$U~a<{`i2WISSZde
zyD^rlKneIIbJi7c=aA@^l(5b3hUn4A==p^XQQT6fqKLWt`~wq4rU6xTAl@IS%(1gb
z?yj>0JEB}MwP60o@do1!Xp+Wu_^O^gn$c52G>OG|(u{(5&X8t=-Vpv$2W5iChhM*>
zX!i~`vEjdz|I?PfmclmhFJFMW$;UVU^UrgOJi`0WpHXih;Q@q3PEu5%Nz|_aT@O75
zGmpS<<&tM$qmlkq_7@LU1C%ENhzQ8GZFrI3Hri$Odh1Rd{W?iiAi6@qB*9q9m)g25
zs$pW@KB0cDqV&^gA(k&`9JaCN=4b)#K7J&LQgrhz7Xzh#H^5pa76<p^f7lJIe!#zp
z(>xA`W#!9bWLIi5!;4Q=6*uGoEo<Oz%2rt)hq8w(Z04pQtOV!2l?xA5NiC_Uge1LF
ztb*OEyw8oAk}~F=1bqOBTstLMy9iO=#2d6U<bHXzM^NvsldCHvQeXX)u`dWV+xz!P
z2egpECbFWNMf-R5i0q+5i_zEDx&d<mCehlnw~p2sao=wU*$<Og{m`Ia6|`dQ<b6y^
zJZ;d};VzzOLv_H_A;H=-dLGGA_vB;8mhsQrPfP@;>JY)}<0C5^hAR$A8oSRAU3W84
z#m2`k%+C)E!J|JgeMDDCMn(q5{fC4rcwS}Y_>_18fpzcgb52>mwe74`OINhGXz5|!
zf@H3wr#m12^>$n-?e>)HA-wkI%ea~zj8J3Ccl-$H6+#(Ut**0wMRwaoP~<^pq4I$t
z1yLuKgtca%Aly!^Vey{xOAcNisNzm@R`EXwI?0OdlL+<?P)7E7p*e<02;S>yPVC$k
zr6HVXZwB>Sy=U*okC+#pce{9(r?F;R+1MmRMH%K8<E@Esx;lTLTr~LP+&a_CB5Zs>
zo#?PC?g3<v$}kx=e`&ooloE1M_$ek9SCP7k*s0=!`-U{P)I7Enl!1h6_?`X5i@%}v
z`6LA46Opq!rL;D|?BPw={<&|KVyXMgJ?Xi;!y$yt3p7<r7koFC$M#D}A-#747M2WG
zITe*n>}mwrvL&<@j|6f-PL&g9FYf$nm-9?THp&%0hP!&%ADk{Kq=_!?WFU30+gfSe
z=B!Q?66{q?xQF}yC|h|O08LPih6V6bf=Iu9gVA(LJ#$n{jH1V24MR!?ZkwK-9!U{f
z9i7+?XDGb-qR2>sJ14l|0_NbTOJD(3v$$#~jcF8C>4C5BFIDmgO4Ph~{v3*B)(iBR
z0g-2K$yh|}(Y3$2Wit6JU46{so}&+q5}N8+#0v@GJ<oR`8_iZC($bR)3VF$<U8kQ2
zQrSn;*bxJ}gQ_#emcdZr8u_EUQ<9P*B|uWgJd$LckBPQR+_t+hSK)W@-MT6I30m-#
zn4XHxz<UMxGcO0nw*2~kPN2|2X)(792Rg_K3yUw{7;&b(4+5h=1`V|>Ay{0?Ma3iZ
zMaq=PA@C|zVoh^(eLv<`@ZI1lGTj6W90V&M)>-{QDDW`T3|5iDQXH7kkVe3HO=|=U
zK{CiA((ofo)I?<P;DMP<>j=to1ExgAbFhseM4ZZIZO7UVvugWM8qzB@L<tDg&$?^f
z3(Yng&!Gro&R8NRS|o_QRl`&RUdg4UQVo93GApj8sqP|VHE+4kn)2RBnw{F-P2w)h
z_+2|iI#~ZwoPfNR&Y-RW?l!-p22AGt`{14FabF8v?Z9h8r%ZNF^ieT0B`G1P`GAB3
zN_I%~R!!qTW!@%F99FahW;*%}<Ps%4d8WB1#gb6g*y-##bn9w3!P4H>;7EKkW7T!{
z&w%m5V(Q0_C)y9y>0uQ2c5{nA%npUrz;x58SUWcfV=+&W(%q|uIgTNG-jR5t&|W?@
z1np*JXqai5i$)I8-d;D^wmE1vper)umU%2W_?`qpg_Pgkd84xLIm*vPyzZwtzQI8k
ze)ldH@-a}MVkbS0%GL>BvmD%U-sK391T>5wuwn>bNyOsX%<)(O3WI?o+&jxi|C3Wb
zJwK1X^FTr6k0hfUjYBE~xX26)uv!#vvnLz`+Pb>*{*6G`@$=<bR>YM9C$ePDN5pIO
z@<0RDd%`y27EgNrrmNHlfe`ZHQuHEk$aDocuHDVGwoMlac62q!o`-Y&w35;bUW9=B
zbEuPjt?ewT?)pDwRY-D7PE34xNKpMh{QD^IZ>&NjaM7nB0P9D+!zG2{N5;aZZ;-vd
z0UWM#Ligy=y<%eh>$k~jAZ!M7Ou_7zE)ES+fZ_DyBo|a2$%fEL2L`U|H5|vqh@2$=
z8P>O<Nrftmo2FMT?HyFM0)bdECaq`p@Fvd9zHb%~T|V}L;2z{!Qu9m5R3zBVwI4q&
zkoYO!&k&|=-h1w*mv1^^kYOk}b+krwd-L!xe|Zy}DI3qBG&Yee9Nv-?;6Mm|#rEf9
z_E1xVqHpVpf;<N^9Tr654#8-a&RWzhN>!)1!J482TxrHGZ2rKr<oz-q)%*|k*3g|V
zzu;tAOf$Dms;aNAf9i?#tt!-|`XLX6G^Mt&uU`=$5E-G1WJ|7VS2h*67`RS^1n$5s
zo}t;x=w=^PB|k(Iy6m6Fs0hWFZ$QA^92?{ozIZ{z=fLQ}r~ju@J{`fqOhsNmnee;h
zIziKgfp|E#Ft}UwFVUX+KtZsL6*_8rp?+YE<y$9#Fw@Ly_;#qoCivGu_x0tfz!|em
zTIDtO_cBtOqvDsBVJ_+E^8JtTHT=D}2*H+dHI&kw6NghsI>bH4#aj$0llWO4m$S!d
z-acX{i!TRWVKhKpO2G8c4oM7QpE1!1r+-A?CZMXOMpq^KpBA&r0m-L8DWXR}cZ0*u
z{hS|AB0U`)5waF#6iM?{;z`lDosx3Gz`(=gw7dtOlH({gmp~#7ZUJCcX;0k!7xrn?
z^F@z$q&#D<nfFx!(*WW+UY96D#ax5w#)VNRxR6{|XI7mgwoGV7U;7h^%YqbWgfCyB
z`@dsoLb67VF^E<qEW?R|fW1Gi)K8lF$D%aqc#<u1mKr^KH5=Kcg_6qxVtAxl79pN~
zRbGA~Vq3UgHiT11HXJF9jit-&;CNXcn~=cE%X@^x<?LC!%M6zXAWLScnK{xRrr$f;
zXR%A7AX#L>2(tp>Jn<`Fp<?s}_|T-Jr1}Hqbj$mm8Rek3BIx|x%ZQYvT?2c(i%K~>
zMc@MQJX45xIf8E%nUb=>KlMozhi05<3960h&EI<ZX5N?FbKhos-ghAAaWB~hL7Kj%
zd8~FS^l|`C(Cmq8Cogrq9v^B#>VnNxm}C*+hAf%sr4x{d{HeBj!ya-gD=ULWlf(cm
z;PZqUPcBVOa|zPp6t#Qik7XL*Vf<})4<){kvBMF>OP3syFj9&qM-<RYoPZ(*c2_;*
zq5Q<=n;w%_$QzcCfuTH1TL%>n0dvr%_Gj_o&H+=5!sl@`7WC!QkMLFge0kJOGwZ{U
z2M7nyd`ah->@L-}&WR2+YV=9}pmDKU7J$4Lf%eh|4h&`B@dJdsPRg!$0OKtk1!xV+
zcrM%=lT2<U<#>kzPYT@30bGP&4W)Fz^}71{WJo;@;A66F%a!o(Aka9-1va*L$^8oc
zB+gXntFiE9cy_x{jx>(7xVSqeIB+}mZH2xE()5Um;<KRsI-H?k=j2w{xf4Lx-9!>d
z)oT5b#mI+fUorVg{ylA$6A>eF@$@@T)*<S0b8&&0tMM=zGUu1XZ55D@BN(-+il?zU
zjcil@u#6ECP^8FKjIgCe*!qO!SydiGb)7-<1HPA+KEi51*A}9;Wj-vab+gAtePH)j
zf%>*h6|Hh(u9fwOA@Kof-X(^+Kf*5i?@(SG?3rld9Mu0YSRG$W^b_R=jEaB}k|^{1
zx6!psf?5(yMrazEDDymDNO!i&zzdYy0`CI!f0ruZ{(<@bqWSI{u$mx>A=VXf_z=|<
z*nUQp8*k4(u~30`1XP==`)i<hNF|E)fa4A%<ADdRM??ed){|BF5GfBM8)g_&)6er)
ziDWC7Y2iCuO*q@2in!RS%fe`@L&4YgOjUimu^UGev<W-+YZZuRf(>n%sBMLOhMXb5
z&-!2+CktoL27zb;>Jt0^b%gBaG|-GertFYci#7$ni3F>Li`h2uSN87?5eEIzm7ZFX
zlyjC@rDKeQM75y6gQ$T~(>9%;#mt@tM(b7LrOJNimjJ_Dt1gR@g)3qo6>Q`U%K%O>
zdU)(*7GFpxA15%gSyu*i9ZX42Cz1*HzdUtsnp@jgU+r^S#20fY(*QDRyftE42FcH*
zT6E)2I}v4u#3na>gc2~s6*9`8weT}<DK;1F-e{8(k}ZgQYqc{9Fr}?0_YLuG@22g8
zWts+W2D39DC0CE$KX@eLDrNPS%~{H&=3V!;CcYPYOCWrooD4t+0*JDpxzqvhywk78
z|2xCQQhz}Dn8ZpJ8U!QPy@|)Nr5+#X`b{|@)n+)P0{@-jPEps8=22|TJeBwnbK`Mq
zYcZbd0#xc)($qWzF&siT%cfrE<E@387_B_f%m#=IEmDs^6|8$`IS?+v*2d<bT8rH+
zG!W+D?giB`p>m+oI)V9*&#T)773M(8?lM-&E>_M0Kgm?o0wtvueowRy*7>kUx3;x~
zY7y!$jQR1n8^&qYZ#yNQrk7`WY%ddaNY{4Ew9w(q<fNi$I&mUuM1?5TFT0hT4ELtF
z_%4R-qA|NqPYXD&h`2j^$hS<&vy%O*L{3SOKX@>3vP)7%no`W?%UM8RnxQHw+7Hp=
z;Oej(m&D>W>wJKe@E?tyAF`z-0M9eu{5X0(lZ;brdXLW+l49nlM_~IQvp`2X`$^*X
zZ@j_rVL)6#a&?E1cLr7Smb)W6?(^2!_vIN5!KE+nt%jD4V29@ll!kK<u2lxqZv5I3
z*&eF#%hXf6VI+bvfHUaVSIhIAg$z{GGyNQIB2B68DNs6J7@8#9{Ta5}EZ##+Fg{bi
zrtqSq1jjH<<+AdwT@FX|<Nie@ij!be(@rA`ZnPhto~9(EkJaDk3~PK)png<MtyZj>
z4B|v<qKr|8Cd__wW8H2`<@W8{fj~*d-Z#o&;8BY73Mtu|)C`>H0O0hbI*;#kUHw^L
zGXXXM!;d{WtJGGPg_#}%FbIGiFVQr;2xf$ry2$jn6ytTsqq4Q{^JGq(h-MqZjtv*6
zYXOZ51l#%T$C<^LVv<>}3(cr$?jA~ZHKxv}0b*_=W~A-pYFQuPuoDmvAjMuoEp&{0
zOvvoS-(o+)b|F7HO5p<Yvu-ti#X`f|TC)=oIs$MBe*u;Sn28wP;2mhkdo}6gL!%vZ
z;SeT47Llk8;1{Xw`Trcgb?q9UHb~7NJM4C8xuql{6Ap|^!RY6!u-!TpPjFG-Sh!cr
zQgALCBf=M-A4Jx5EuvFyikopDhi`b3bpM@cz5S7vEGWl{*L|v2`+$PmY_4<?HxxD|
zvf}gzwO-9vrs;k=)1QB6fQ4&q8*E_O`-ev72uWNg4fnPN7m-O+`F6LoR}u(}Kf^Xp
zGG5*|DA!#%)4;4>fdolKU(>%=EqP%d7GRb2xy62iH2*ox*W?S~dFX;07sRbpklz7|
zP3N5-i>qyEiV^Yz625)=@?O2NP!f`3p@C$0JFOR_JU4G1H#IG;be;J>%~j;sGFlnz
zZgx#*zW1BReP$laG3KCy>6EX@6JIrWjUKl$5FG5Zz(ZrurC^QNi4(OC^iv~FH*W1O
z@YmEq@h%VJH)GnAmz1nEG6ptqF*vgq-d^Af=5Hk{4F2Frm;S00J<Ew3q!bm)A3OkH
zpuiQ6__ll9vU~Twbt~CFl2qEjMz-3N_t-|KvrIU@>j2-oe|%pa^PxmuCR$`RdU1xf
zISgGOTQRwTEqPMPR>MoG$Ok<z8ygaa@FVyyA1LYgyHXfzBlemV97Xql>DSJVgn+pm
zp3t^2hkV{)NB2gO;tOnRPuzB^F%egP7Mc^=DK0sCsT3T2u*2tyy6-bcd@-CErI%sa
z`d@Ws*n>r{DQD7i9zS0CDyXs}J0huyZpW<qzLk2jq2}t~v9>yQ&Y_Yx_txL8y+?=m
zQ=A^W3EL_6h4lPht{g%f>Bb0i!KV9QtL%V_n;Xn9Uy%9ym)nV)It}41Jej%ojy*KG
z{go-^N?`{!XFOOrEzJSaz-ON`K%jw7pRRrh*Ac)DWONN%^ASw}qwWd1VdR;>YawaY
zUX0W_h&8+V`lc3F<>T@3i!Abbtd~Xq!b*q$n{T2!25l+-b%Zanv9J_ah4s+FU_R{{
z7<dqJYXW#mkKt(g@M9l8eIpsz7aj^^t9=|d-6>C5kgnTn3`XlFc6kTaJ|yh;<M^}q
zBW!F2?@j=Cgg=hgNR0_Ri~prdA+=x@Aua{Lq+=WTy8<{Ax@764#|o71SS-`LE!IOs
z{5)ixzv>kWRgjoX@_`pXqymrv<cwlekLsG=lhlkB9%Hb9_EG4_MMMsX%pJf^I^@sJ
znB()IAPEIu(YnUG8RdefdZ<(8S9om2%bC~p%XnMxZ;{5-l!x~L!kNPJPik!;UF&p`
zR{ZcTu7=c>NpdngF0i{5NfTU<C-_JYtoAPw1}%95EZ0d1l^j*8l1memLz`<<7Gmm`
zxO7D8Qk0jzUKjFbBA07tB)E6d`RCCq&u#MUuCd{{qQOiERwILpV^e_w91<_yo4=3O
zjhb8yfkj)%Nlb17e1hhmP!r82stN?O%LqZJfyx=`nb@KS-iHo8gUZUZhi_m3Kx3TY
zEA4|ECuA4Y>}m4E5kULX(-V#(is*u;Qa4b~h_}|r0#Dt<Jj3SZWTjt#gOAtZ<)0l@
z7SB&Lr@k)Vm;bA4|HzJ>qEn$)rO$F~bE4W8_Fnz+UPczDjBM4tGvrRB;?}Br_XTQG
zvD7i#B!8n#HIh<zbGGWA)vD%H?-R}I>z)Dwy>FV|H2W&0%xxU|T={AdYc8kF6f)-I
z&v<y)+6K?psE&h;`77l7S=P1v&>#651kwok8S^XY;cgofVJLCsuC=nXgeciE_xSlT
z=-QUBc85^#>Q%HpO$eXZ`LIfJ`xdNS+e%)zU!p9tsAxYI1DFBKT%u<|+g%#}xW|Re
zvC#Z>Qc}t$dy#5G5%3r&*Wfg;Cu2HiB(z-#*)-}~elSrMEDb4h);%+KTEtYUoH31H
zb>_CUF2-&74~&IdTUzi&H{?s={qQaiO!~P8u%<Kzn2cFRY<EACTA(UjuI)0_Q+d10
zVcfHl%s+6ep7#j&;i7I}+u-FrGtl|LV+iUSttT=>koh)QG>Dlx{G6=FfwwisqRYg|
z3wPkN$cpJ@7iDK3$qy;v?zcT>DiyF2RJv%RmQDVW)OtK*?x2AgS9y<qTYZf*q2|a2
zt(zES)9&B;WQ4W1TbI5bbe}{_72o;EZT}8mBxkT@+tYJv*lnPvM7mj7V1qyY+l*3z
z+XDo>tskYgwy=2RF+}>v_So(l7#4ebt!5cO8$tWW-j3BjSb=yGlE8WrY%f7`rkJKj
zct0@@%r@~`j|k}%Rpcwz)DURDX8uMk$D$HfnVyY?KzwXG-7RXkMJPh;&YpccGHWGy
zSI{)oe!+_OO}V{u0OXM^Ef~%*rI~xsZ5><9S}4mTi`C}aMqaoNMFI%T!U?c|=niPY
z_&MSLazpugILi?6Y6e0DygLCoMV#Op4n=No`WRRp8M)fj#@%IBJTzeqKRP=uIk<o0
zW0CLOfpuiqXjWEsLNu`Oc?|)T0DFZyCmKa}AX~t~B6{B6C!x{)gq0OEt5;Nm1I>YD
zZ;@DtE#>SL^ADbybg*#Gw9Ihh4?^ZRr2Bvs=?Bz<f~s@`P<!f{pw3>sTv9+`i{J9w
zW=!|$f}d8yJdtIHqun_5oL%i7_lnRCIzqv4XhJV_!Um1<()3ImV_lDpS@V5TrR5__
zEeQmIRExy;)odFwg2edX^mO>*0O>Gm?I;=3eEfeYLZP@p(V>$EYwfO^!-}0IC7&?$
zE2H18B^z7CCSt$c)FDeMH72+{5%4Lg)^98E>GS94b34N7hd{Hgy=(KdLWP5fkB6aV
z%G<}w3$`6XFq&6fs_)+Q_dLGVIWYxPmxsskN`=<$kg4Z*n6xxB3;VaEvYLT0#mkQZ
ziXWq#i{}opy7fuKmTy>`EPP`k#DWoA7@K^~o&`X|)npgTp3hhXF4j}x)`(p70B@8A
zF*ifwE>g+7{>Z&)h$2objuG8XOMo`d>eWT++(L9<9UUgdii7i843+B9iolx=CI8{Q
zv}g8P=`Ri}z3fYz2&QtpRH@8Fg{_1IXTY~SyFsX#3&0-vKS6RKeDDRPwwf9k)Xb%7
z5K8c1q5rFGf^z<#3E(z&>f-xTnS|o~_CFuabIUgVFvIL2$K~eg+Nc8h>h|s1xJ=~Y
z6$6$$tgZVuV&y4rhraCIqA@3{=7Pk9hPY!0!X=14RW~LCWxe$G-a)8&9G0*~{ae32
zpL1w^fZS4{t4NJ$up@}wl0fiX;-0DP8T_4HGa4bjxkbs>k?inPm<%BpBUbKm_}^kr
zW$%uNAOwjx$v|eSnu0}4(H-K55{&<xspL@9jd;)eg_#QL=`dP0iOh7911wD=NVy@Z
z0e+m4V8=>~qKNKVTm#UTk!9ij6c^7&pXWYt5UdnBCn&pP_Yc2})8MzrBQisRf)NMU
zx@FC!27dey-nfA$rw%jlY7zTSH}!`T=cHd27x$lU-UoKzX*v73o1tyCd$o|&C6)xz
zD52>P(RMcs6FjMjclsEBLA(!!ui!C6v=rFBKw^ZHC)d0E!=dcNdp%j+h1MhIv~Xkb
zgZy*%4|9{xgEYFgpHXd`wsV(DeU5>UMBvr2W$+J>v>nvnfdvmnIV_F4v)chhpA=&g
z8EgK`;Yr<4$z8*Ma4X3lNpja4-AW)u!vIN2X!1mLfI<R(8{7}@Aj8qHPO?b(nIP&o
zGxM#NEu@PMZ8s-dOyiBDBw1|oY!WNYaS7#qS4BbakY>D3YW%G(pYzICt>l*Y<`hcX
z1NGU{5#<Rago-igwXq8`xthKMt%Xg?jfb5$$cwrI#?pMOD@&jx|ATD#*WqVr2@5tY
z@@_Xy+bi5Dh@?JVjR>ITe`HqdE3+}VB0k>X&7nL~7(S2yQG9@j3dyGqPw}CV{?x>B
zxR)NAjFG%kQX<Pj<N2rkMm;XEV*?Nme|S=C*ASjEjFmtY^G(QgCkbfL2n8=*JTS^B
znCre|PUlmvZvEKhWZ~=1OZx1$tsz&0Z#`JHiFr1>!P%iJn6l))>xU`ttSg~J6w4*N
zY2>V%+iMfdo8xb;?|QthnD*{il31br6G^@A9&(~VnrQYOJ$l_vN;X!L{Mxo>TMa|V
zqw~79Hd-?)`^QC~RYk=Z@)#7v?q+=P`9`{Mgo4rVW(OaNf-RQRJT`aQ(GgGR8C%W5
z`+(y84FkPQ=;Yi~%KMa|5p}0Lr;UJ0N>UQ+_xknq?K$%g(K|#s&D_5F@od^a6Hy!v
za3lQNA>NhuDr@yB0V@$REoW+ee|uYz$r$uT_xJbzv;Z?wgqoXUgO@i5Lqdca#V3P-
zvbA6NJ-EJF40`<J{9ITsPaq^w3>N9v2~Lw#av<w1WHV?h&nhdS1_6%RdjJR!XW&RO
zJ!y_cJw^bNceNk>@>MD@?7ed32S_j#xY<nTUxNjN-2n69+I~U7?B~yoxD3zBaRJI?
zr$4HrqZGLE+xm0>Z3vW%kk7<FjDyq=oflM|>0De}kJ+%d*UDn2va1Y$hc7(o=O|I7
zL}y+;e}2Dx9AH)381u1&9(4qsgx1oJR7i$XRFrpRa5aGd?!7dTClnlYkoo%xSXP9S
zjm;G*c|IlXs{^VlvF4-t!v~=Z9+8?^z&*RVkL4Jn+i}PiDx4L0-A%@6auZV-kk6p`
zV^4h>^MhP{ww3D%9-Q5B!ky~&+fyH$ZUu6oJA{tFzS-&g`R9FZ1GD_Bf>0WJdvABA
z`-C?}OJ5%;m8UCv8RE%Azx~`Mo)3iykTvs3j^@LFVh;0Tr!wC8qKx_5o%I~Sz(pLl
z9GWR72hn3iO+0>gh;aoftKDs4CtqD0+YHkmV06zVgwbv9oB1lg^yN5HG(0qn&+<IE
z&d8*KQ{_{2{qQ;>T7v|-h}CJfFy1v1ZH6nxqz6X^=}DVBGu9_nE)SCNcD0otHSo_#
zRK)q|obq-sZ?G@4<*&fn_gtIdd(=&y*R?dTu1d-8*OPE91Umt<@MNFJokglXkXt*o
z-8sgWCc6r8PAe7W(fI&&G%W|wjV_OomV`P)0#JTWPkCu6Resabdv0Rb#-Fva3qP#N
zHS#;r4CQx<P=$PO!j|lW{dY@(N|Mjtv78h&t;QOhwlRb)dzJV7?Kp=$c${w{QR<-)
zMqh**M%49e%i}aJftYm4?x;=(-!mV8Drm_(ZX;~_>Ep+$Lji!pa&q2|&1LeMRWLw&
z>m)5~TJ4(-RhH0BK1*5)`*~Wkj-^VQo<yUr4NNTHC*}NM_u!R34|%uCgu!fqe<gjA
z`s@~bAHK8QO?FZ#C?!aFkqA7J-HwlQ|M;?V=xci}!6G9($Atq&*S0?^Bh#TfrxmVi
zgoO(;oVQGK(Q$R1a1Ffk;lP!*Z*jwX`)rhBj8=6PGJ4NLSS*l^=vEjqvkMDn4-HW4
zWpv(CD&`{*R{rzV#KCDleIXVQf<J!#+`tsvEloA_onl`V;a(vlVeq!48yYW&M4h;+
zDz0&<Sg(hP2MiVWxb>9C{wIS|tVeb}7Xv|6mv+Ca;jsOxZOOKUY(6SL%AY=2J=}JP
zz{C&%FYE~#4_s!*jWTzcz<q>kUjlmXk2%M)7oHrx-8_n4;PrMV<bxp70h4h4jnWS$
zpCPU{6ch-YRl@Qjj8KdgBvH_PX1DK%(}egE0&&m}E8D_2`K#=hW+`7N=U?70LAQ@e
z9fmV7q?VScUGm7#rDTs(2(#r&g~gHYa}n}UperS2M&ii>7IiGzL4d;m@0N0PP&_1x
zk{vc3&R!DiEV(w8Z7$z;*zcojjG1KZ$Vz*A41PX1F?>f8%^I?Zo5_Dx%)RreoH*&<
zV|HFPcXyK~Oq$~t-AYZM=n1K@vcX>gp)AB}@PU@T#76_gFi>Gi5qhPJAW2O|0NM$1
zK}^A3hO=X1b*`)Rt)~@w9+(xXP;IcW7!9L*JV*~LoLiND(rVkfP&ee!5{4&SI)5kk
zVgm^gXx41{BUJiXh^R2cC*j4gQbw{<1`ZbTuU;VSbUC233IrL(RcPR*E6Fdf7k7oy
zwbiwW;g-fq@>Td0;#ebgAtb@g4VJQ(zLtNFE_tCVnBGDM3<SUqT5j%M@XwnzMRHpT
zk`@!gU!a$P-<GcRX^A%y2#BYa57AKE*tG_Kj{ZC7KhW>u7a~`~>LE<LD6{$MS0T%Q
zq8Kev^D(J^M@=Nj!f_@j_{B1rZ|r;-G$<s5Tn6jw^TiaiiM^)voIr=D$k&1{$3A{!
zn%nIfY?dHjV=!Ug>W}6N+PIGPbJQWF*6iHeuI}!P6rqqMITjH!+Smipe!?oy>Tcht
zC2$i$3)5=3csTWR)(9VNRSg|2^x%D!BqJSk(vY@0Wn~`OlR;QcClIER8y@WvN%ej(
zn5{?sOj~+daxxJp@?+Y46`^=)OftsRe?k#j6rOfCBb5@HhY+6qEFFD3ZkJV?r&zG<
z7ZAWjK;K$0ioFl_5vd{`?CKphvaFh7BaxowpiP;t0s$c;#@q~){c))40FIoUwS^O5
zNm#qXW~~V(njvA#Z{c#&)0<14HgjKYG}IC^kYJNtfFB4-7!{7VmGvM9hKjmjF#?4b
zqd4fY3h#f=sECc<*E1nT4ATecT|%bV!>X5M$UhIZq_jhVD=V8cwhZ5ZP453TOp3N(
z*c}}ycKKkKcpTJt)zChAStH9Zwe|MRn->ne-bJO33=C-2HqJ_=fc0qj$H3CE2je9J
z{2zIb9y#g{`wV&bdU&AO735-=Q_6r?(bP0t?EXP{qUpSTsOG(J%uPsE(NW^$hED1r
z$7TuYVOEukEHlrjj+=DvHyY<G#Gqs>+;M52YrU2YA5+btLQXR5)M4kqq}xIgz8DI~
zG&%-A8oOxE(^PIXCRr+A2AGJ2UZ6E1YV(D}WUlTUE<++KM9;GdFwfTw6_nna*#25P
ze#D^ejK5o^Q3GSDa7u>Dx-xR;8?ZUmRBEkl;Ly*BqhBu1$vE*`UEJhEcbI{dLXau<
zt=oEIfz0E_k1-8c+HkY&(OgjSc7mu4X*w1{EW>hQxQpCMY;yU1g@TXnzM;xzE0q#b
zI|v0V496=6ea^<l%u%7o*SyC%P&lcdK8AJ!UuFL@9Cw^=?1e=(hLYcneT$u3-!^19
z;+86n>7M;U9XGp5eBQq6B}5~Z_(6PBz7@ZO?l9D@MI2jVe(dIY;8OnBkTLa}hwt~3
zuwB|ItO{y?QhDY|r~yyXe>?&<{X*qWMre89n9@8vb64(JL;~PAOjgfc`&x;05|vOk
zLvrujN{Cou9=b<(BH1-zw}q0$-yYdq@E|;eo+jb$pVc;*9nL<NPZ6jnh?+-uyUfd@
zj@qDtBW4$RR(BDDll0~qEu-f#ESN5iM?Wo*E7%=a!N9pd)+72LOgxI3OHe?-KDlN5
zq7)^2kaq~*_lvJaM^9snf&Z&_5N!e^qMny;8A0Ca(T*qr5LF`i5zD-#KQhrjwHMj>
zw9t2m-&zLH{VqjFz2U^ld~`w1`6BrXaQ!5jSzkXo@E~ZXiQmi=V|_VKC~<e+JH_eV
zT;l}ST2DxFwl;YJe*UqN=WF5_2U-FOY5waNUGKdHhzvVZhm*s074rpZ6<wAg=rLuC
zM;6qwF$7_%a;c5G?tlRmq~M<e@zMgQCSI~`7i=l56ey{6gyD6F?4?DeHKATyk0pH1
zGb#w2NM<f&(%troG+F9)7dEvXsapMcOkaPKc#@?jxb9T0S(I5}(|bwv#K~!Gef@#l
zXp#Twa0a-8<@F%bH70-INalz}JC>&zS)CKGkp>+gRlpMf%j)ZlrF3Ryf~J{Z&48KD
z6m~fG<w~}+wt_1i;e?IpMbDJKNv9+e6&*c2(qW3El!XG(65@y_CVEvixP5Xy@S0!J
zMgkETunh{72ORob&Xr7fWR!z^_e+B^w`xC!zN<*?lFU_sj1<f2NWdHv^k9Fnm^e|D
zDcw~_kj05)0m%;;A~sBnltRY@`||}uK%Z`Ij+vND!9b@9VIP;HgG4^-JAW6)9)rX)
zGfHi9O2^nD&%Eos#_bagy->Vn)}nFK6C16QTe;qbK2p1k@?&DsVV!pIT$dd-O@XI-
zcr3~O+hy;>nI{m^!6}ob*V)}2)przY&imXzjP=hIy0Rhl@h1}<4^2qT#YdGl<VV!t
z!rsGg`s3PqRMrix-QbDPoiDAyAPk}kc7k{BfafbX*=U)QNzB%CU1lnOx2hsByb^+g
zSQ=}ce}*)<bD~f5!Whs<uxbnu4gmp55XkP?b67YL&|}N7zJZ<p8K`&=JFFxp7g@Ls
ztlAKT=WKnl1S~t4h#?ecOLax28@ARz-{8fifnGs$r5HImkXx!jC+PR%Q_jJ+t9Z%W
z+}$&fkWcsniv2@JQV!8A3}^6Dk0hQtv8kCQiJM^m{<&AVJ$NZTXoq=8<qHKP=pC;$
z?uP!oxxXKOfbqC;pP}>m4!o;S=9R*1`1D}orQl35Is#N_U;u_+L$eAVGE4uHtprdj
z03E&3co%@x-d@C#={`5vcUq8%@?S5o$amq1$=O>H_6D3>{gA}FD@#w(a%>7{H<_Nf
zv2uR;THZ3m<-~CnWcop+@z03Z{}TZWscBn=ig^FkT#9n-u5`R3twSC_T1o#G>{6Da
zecWhYn|ifR*jKSJR)R;;g)(}Ve^l4a$`hl9qBL%#r^lbrP-;W!l^t0Tq-gkYP4nRe
zo9j~9KXZ(f+E(K(G0H3ntAB>)d5Sn>G0#J*0&xv-?=ZmQL*1exBF#?HKbutlH6q$i
zGm&Rv)$o?B$u}K~KHHR9g44I|pg09lj}7pzw%kABoGvyOH71NHC|ombxWxb!^<{jR
zUc|hN^?dgpoGI!?2fwiU1|pH7<u9<O)OFqDqe6@6;8(8Fcz|S!gc=jR=^zEmh#xZL
z$xkVht@H6*5fY>`-^-!%xG7h-YF}YEcu+8P^(?-g$0aMw4)QRXdhQ0Z+ABvDLKK|$
z_X9;mC^>%Y>~`u|1yxsPW?s=%hWmqw{4R3x@=TGDz3<D#!l=NQJj|DxAG$Al@G!Xd
zyV1!`Wk-8_e~-OW5Kin4l6rLHjs`z566NjN@reol@rOzO*Q!n3GodRs7lm_@tI4m@
zT8F2OCQg#~lG0+Z@6ov9bUhv!^!ob}wSg`OTjQn3ZpR&b^dVdyKhS83q&scaW|9(D
z)T}nK)c1E*F~pQIWLjS36AP^lOFop+?IODi(C^Eatd~vkr*c27AuZz1!2e7be<k{T
z_9yLV#}De+*Ypun2%jkNAsiKz?ZktT_nC)|B=DTx`V5vBWSg~+n&ue8P1hgjzu+O)
z+u1qhA;*86N~T_D-@ZQPLp{HKJ+B{9&5M`6hUma!$3(=$5C_w{zW3QqCpgNInok#+
z+h+X=w>Pg_b@Wu7>`c6N4ab)2!ejc%)2ZA{h|fX0fi_;LEk7?$vU<yf;LI^1VB;BD
z0Id;35chpC-9T+>k@s4cAtDQAxii#|pZp1t54(Jx3xuY*!W&1I%rk?(8;JmMLXp|9
z*jDn|>BSP1=5j4PJ!OQ-K1+P;D!ou2;SM-8F0jVCXN9F)_9O%c$XmYcPw~&yr$;Oh
zHi5zivm;_mB2T-6j>8SkVC*lfdH%dqxfHbB(~E%M?l0?C^msS#d~G$g?^!keLJfXP
z@g~fNP%!~LSWMC)Mnp)y)ufEWlG1={$;ooi7f)zk7-3a*3K8-oK%B%UR<w_VZvS!3
zBS$=cz3g`3EH3>o?({#vn?UT<SfAKfzSyYCuL9rhF9#%M871xh-Xmg37y=8P@qBQ4
zQCPTj7avy>Vt|2wO#ixw5dhJmxw*7tt{7n}DzM3B@>c<25RMv#rr*D%{VB-q;a`-N
zCLcZ0c|hk95(zNqn%8*5tjp3e?PuJsxgXblZlzyir<+jh(9QE@R+$C>t6@@7<qQ6x
zDh#`{EZBqxm_PFK8O=%n=)q<;h;{cSsIC{-nmpkIgKa<Ti(yIRb+KYvfm^^G0*_ax
zU;2?lbkn5eOQlT4EB^FdEFU;&Vgmle+L`twM{w41Vg9<;E~Mz!+6qCfup(M+jEMr8
zVVt62HL0!_SZiQzX{m^E{PCFhPzPSP+{cf*F0?Q6@FS}_uXchoxn~L<9?3@!Pof!`
zTseo0iW<)|)uNG7XC47xF$^eZIQ}l{QDbm??!Lw4S_oeOX&>^nHuV=PxMXKPhZ1ii
zx{ccov>!jm9MRT}mNPOiFeqT$_1`0^#KQZ1EHrk;TMkeczT$Ip4QV4P^z24MwRWS1
zC}UOP8FVR-$2#_9!s3Cw3?_6JoTTsUKl5(V`VkHqLh2jyS1{A!dusi5l82dqNDhcN
zBwsX$VRKmPyLZLiE>7n!o#XQkCczfE;m@R9j@08ig!)nwEE~;Rjn2!z{03epT(RuG
z!aK_g2+-d_JoIgnT&-dcL{%UqpazAFXlyJgG12b&3n%F>y}e41MjpS~?E<MXfV`Ha
zE%*H#nh=d(O76~!2yx4SmF?aipA^>4st?LJ@m@(%R3|$Ap=?)KZ&&F<uy-~5UHzN7
zO9|CsHyhn67R=~p81)H+iq*d9swZAw-w%du```#s^obK_PKkO8-J|%j{rr~u72f4<
zLk!pe_p{SO9_Bg5Zro<Q%#bL5a60vCD*VkUDfABOZvmusPOy^KI=|#m^q%DN&qgNJ
z>KT@p%Q^%s^>}JFaA3zyPi{5zu~wRy29cLp3i}f|x5a5fbN;O!2jF<^iNDI);a3h2
zG&BS03~tpMY%NYrZh{MNX?DcF!#fDJN<@vb^MCc*fTM{hd)>>$0Aq!?s3-w*JGuq4
z7M*H-ykGGB`s%<YZDE1zJ0CwCH6}byy!n!E8dqwudGpV}6(I1f@-#GEOEQuQDapxi
zIEq}~I4ayOZKfsoA|^37N;hIQR1hgg=3kjY?b#LUbrsUY*y--S4MwG#HEl$xDlWdy
zgV0-WL*_%>LqkKvXv^*RcCadE$Byx-sm46fCsmy01NkR;&RDMf^r=?7yis9IKd@{m
zcXH+R+*H=g6?b(kS|hHn#Eudlpa3~J<9!H%<&wKgd!0&p;fezdVQ`_xofrq)*wlN|
zIf6=W-0ZFw!ZGoeAWxRq1?8DqLItyW`qDswxhO+K=!l%D{Dn&4qOrh1x%lRH??89-
z*z=ZI#g9r7qv~xRw>uVri<s&-5|C)?C55bnQl7o#u`LdZpI4t9o|I>KDHtgW-gN0E
zdw=hKd5SVCA`re@0FNpzn$-iU|H`1dIPZTDnoto>YQ}^7JkcYnx+|#}$pi~e-o=(K
zN54JwBqzsCCI?a~V&bd@Occmuoc^eWH6ri}6Z7=3#}}HakPy=JF`o-9PSOg>%Kg}Y
zS-4vu5RyxXcp&8|aaNXUn*&@k<qZw1lk}^R+m0=qS4Lw2251hOYY(&P+NQd4aC7Tw
zYu9CX4PVPe2Bt!quLseXoEO1Ig<$~TH(p;v+`%$AIy%%ae7+1)k~dPU5Kn>q#bwnH
z-Rby)O*3ft7LCkY_Rq|8mU_S_5PlycEPWoRI10&x|Mq~*teJT68pKLpM!I<*d>X_(
zXBnuFx9x12XGQ}d^32#=&KS7Zt}7YQSN|cJnZw*hXMt|}UGTN&PtXyVzxCF?JsyZv
zcUj^8^!Kgw*e=qXqx<gLZ;$Y&?Qxoh*G+PaVP+K=_|CWgz=1GE^m7gUY623u#)yF4
zb8lOu1{blNbLZP$^K9ut%-FKlZX;+hYi|BazEasA#Ig%S@E`JeOzDytG^=C-yjzf4
z4y$V*gjtD@ix+{FKvc9r7x*3Iy)ZGgnHw5jPf99Dy@0Vvo+};}Qf%42t_5XTOmwvO
z4k7A@daN8lVl(r%<lkrq4B%-<Nm;(V>2<Gt9BJZwRANaY=#0-jblz`16!#}FP>F|;
zXE(Hakp75|GrWF1w}zC(qerPXp2m0v7tR?`YlQg56vE7nhT+2ug69wj)p8eC1$J`T
zncjc|0A@01b@9viGQ|9RD0jxI*RQ^8;zu4WboJ0K@^iYqbpIcot~(y<z3*RCwn##D
zc9GFABC;hJ4HVg-A}cdd*;%1MRwyM2$zEAWDyi(fl8}{^^}H{g`?>zOU+1~+=bR(g
z@Av(FKJS^6e`sf~31y}I9pDpv=)GJ-R);LovJe=lHTL=adt6E-FUD90w<$rPv-1-G
z#v?J1A4#)g9DySa3?z&LUf&PGx(`EXe7s-V*`oy?C2C3Ae;?K>H>u3uf;wy9&5Yc*
zhWe%q_T2}yFZ<cJ!v_0MOoP9L;m69@QyH}<G`EWn-r4+W-kv|=a1z4P^ba6(5xajm
z^1oC9?gggEdYEJ3exEmwRqOsMEZ~n*Hx9P%mAQ9Cr2r((>13?0uM<_r-;pv#yn6&v
zcZ6f)P{&HueBNr4$8zsbA_job(jo`eDesUXJ?!P5ta0*neX7dlMHo0n211dss9)91
zz?|3{ub$tL&^fl*vG#JktikGz3J*jRvfo<7-xa=oeS1dTshO|r+w^XvK-3xqVitxr
z5IY)YH@*O3k|+opTZ)=pV0&@Cqp)BSX~Gfp!G2ehq#JXQ(wa1y-B1h8Zwo<PvT2u0
zG<l_cNf{dfofy~%Zm_Tz@sMB$C(erVD0hngBzfS#AW_3r!|#fB;mQe2YE)*>(6MjN
z)2s}ew=UuU^ctIgMHy#lQJb|m%OMsT{L<0!CpFq5<t@*3-5vb6*oBX(xL&k+yEb+(
zv@ru4s%3jjaH~t5lWPM1n>306Wbuma{}2NktW_3U=`)+^?80|&A}9_Sux_63@TWzL
zl7%CtG`Q-i*%8b@#BE<>BbMjI3;g_@pNg>u<G|88oogrpIti*fDRSru@xh|Z(pP5w
zRLuV(ZEARvo#fOpf?wNEW0jdM`wVh$V5EoS+DNLoV?r>#kJy(AgvoH*j-g0thCgCn
z<t7nBu)elrYM`j2LIR1A-Q5$5E6s8ci3ZYkcFYwSA&CQ!7`#lsb{hFv+vaKrBz>uk
z%)KrAg8I5i&sB$xrZH`i8^`hRs_=YP)zHv@e*TKB?OS13Fq1^Sk&~crrlW&0d(^O>
zl+pJ<{VoIknUpX!-p&yz6@i#sEe_*Z&|yT_gyY<Jj@@CT0-aiD3UJfP-4eD{oJSi3
zXRy@UK4<B;tGNpZrGkGyIk{=}?0<{mpcl~tK&fY-<$w(TjvK9Q(8F6=@&@|DZhqkc
z2eoTR{4MxD6XiS^Y97j3!dhKk&XK0%RgTi4+RORBt%va<S62FZct{Hr#Q{h&Huf(6
zzN6EqJ(An*Ioe?{hBM^p$W`f!?B${%tE+qgvI;^F^v{lsbqwY=+ny1KvHw}9o7rNR
zvZL4dm+rG~PVA#I9^waBr~;nbGAJ5XdX)FV5R4>l0_s126M}{y5ZjMBJ3qW3xv%NE
zy5yAIwt~*icWHVlo`-%MZ{4PB?1P@imo#tWL#!04Xu?j!GheGc3AUhAPH*-2mI;Od
zk^L1DnBx%Bjw7_FiTJxFM|4+(@Tzrw&!JG^-ycO^R++V*U$bz{nu&nQ8^xtX70&Ws
zY_}7T!Q7%$%j9HtQIMQvhr;HQi%=iQxT^({W)0VijZM%TRGIdl!Y;T6dtPT(*UXGH
z1F3R$8!X)xQi?H{TK|oPzPKA<AvUkyQP_23ebw_2ow?Hsu!J1R?>DtG<_a`uTRn9u
z8q)vxDC|Q2gceRTco#EUkeT7lYg3JE=`w+zgsxnw;KDw5>z6F63yuPVG32-s`q068
z2dV%VLadyeqK={#0zK5Da|4s=#DVUaN?J2=Yd(Me3_kv0;|Wbo+^NzLb1Q2&q;Y2~
zi9yT*`U$8F!g8q79Y{1y2SZdR4u?1;rrvVB5nj6X48qyWmV!tx6Wf47j)<O4396>T
z+o*<tjC3T#Ehp)nch&ob2K=_GrnW$?ezg!LF=Nvg9|5BfbvH6H4N2zOA`%cMxVoOD
zM@4((mJ^6_uBmfZhVsC0ZP0Ta>VeX0Ev7qTf7Ttz+yhlmIU%r*ox*~8^8ru!Hdd?f
zpw;i&6(=W&HIx68tFL5<Z@t0W7t%%(dp9Q=x6|S_$RpewL(z=_{iRI{sqB#>aD#{!
z*yb8y*Vlc}PJ-<iTQAzQS;N7CW7-7V($lVghC%dyT7dVMdRJCf>b?Sw#u5r&x^<pj
zf-1~9Etf0%rslnPqbN#5ErOp7#-O-q*&9>yvLIpsd>nC1BIF%9xzLA0&+-OB;8PF0
zbtzH1erpbJ>G6^d8pZBd*#9tcy-CKC0k=H3q7W7EsAyn~^~UAx_~)k{9(V-zg&LI5
z3eqNwN*(mEZ>O2)XOz3wU^V4EDqD$&u8r&s@{O57$I~5b@#ljEQXCZdsC;K5x)!tE
z_FI2@jTNBt2|}7(e|^9DU~EfhorNMv*qF{>7KApHOLb!4&xhx|NRFlGvSXJAv>V#D
z1%Ytwfh=1VIQ`ljfbE(P2NPQ3#ocfKuh(Ja0MpmSr>$XOs(W8^L_YFv(QglGZK<uf
zY`D@uD8X2TL;?(sVEy25MdFX!0EGFd4$N%%F=F3qdG9~SWIG?ueyua@=TqTZPfsW7
z5}3qh4yzirwcH(Ou=+skki3Pyt7Ie^q$wbd8;v#f&Ab1Q09S@PCt?WK8Ca~VgWQN!
z9&ijUC%w)6Z*#y@I{w`AU5nbYZvdc)09Ij@S#V{22+PZJjN5~9jo1jmr)jcT*m_c3
zT)64!=|U*&Ai3d>cF0<1*y{8J0}d!(PIh+2t%{i~`e)Cc6Ja92OJwWdU~?gT(|-BB
zu@Spw;-g0vVm2K#5<#jNW_dBr?Cy?lUVSPWijW0rh)58wRn{}iZ$p&sPJcN-<2!Nt
zIRPsW9Wp|h#QJV1*Tz=Z=0wpHAk2UcZzK>Scb5`Bn%)?i8CB?Ymr=2Mt6}$EwSJk{
z3)|tWHz~O`MvSh6f}6c*M(WMIJrmmRW~)&vfSlSRu9<1^Tu?Zmwd?t>6!n;_mCN~$
zj;1pN*X|+$BfTnzSl0%bE8Cl!tCEndg*k>O-$r|r)2hs;zpnp7f9J6|0OK6Ix3J&s
z)ytRNxuQs~B`%!#w3Z*H-sI=Q^w`e=v54DgQzy8r!L9@x!jo0lMN3xmdHXg3>_`}H
zC7yD_TBWF{2%~vK&n1Vmcsy2D<p_w}f<pU&>*sc@M;1}~kQ`QKRS$?~UV8$LG->>V
zT%C}KQDJrs1-HCf9z}4;!>af$KPXb(V*kVM1bRTZCIlORp`4YgMEGWFt3XmALX(hR
zO^mzu7}z$mu@rcM^Ufh7u>je-3qyQrZk^#&a7EV8DR=`$G=)_ndtt?7vT_x@)TJxn
zSK!jmnxk~f@To%~aQ&r2tPfgqOeoPDmync%e2&8NS=M=;QqSaXBDxo1=XtN0M>+SM
zQ1?x&1wmNd3d?G;yOKV%L)}!~L%Tf&N8bCcwfXY%@fqi8JuO;0OJmod9Li$NaiQ{@
ztO#9$nRw21%F0W@<6N)3$Q+(3J*quR1nNDu;En&HOb1D0{QUGlVNC{u?)%5rNh{{q
z-$aV~3{aacb&txU1TQfu$tO!)^FOUhm!++3@HVQ#?aP3w&^$S@B!Ufr<u5XYF_0M^
z)HU9&m!eC=PWkyKCm12?!0sKZ{R;9-x9ccI{=A)^q8cLsq98cK1AftvDdStSwiZx5
zD+x);(3bBHhMkwKIf^aJ+D;>l>w{zgNsVCL2>;B^9YI-b!X{J!w~I?H==%l?wT?rK
zM+l53iZk1`aYjBXF5X=pZ<wTx3_Q6cD8}D}^q1|A!n>^rf{eJ)os7kpj|dLOhElIV
zeYsi@QKOfKXKXFm>xoU%g*|Qv!>J!0e!@)w^DuH1pMAS9S=azA7%{{45G&>!o6rny
ziuT`npz!6r+sEf4!oxk~lCX~;^(X&4ep5;Cbvx{0UAzT@4wUcSAFr0xbNR|KQk8Eo
zEe&4pYyW0(Q*3RURcwD$GIgZFx(6^7rfAfT#b=lbc@0=9(xa&mL-wn22eCmivyZaD
zrU%>k;mjgWq2zKZCni6ZRS}DQpb;rMv$U*mdt`pKdG*jzOxiSEpI>qkozJ*YpV!Zn
zpjTro|HJOPz@gwe_E^w@i(E{suWB!tR|ql_v;~RIcc{aSjl=YEV8$0If4`YFkCxwp
zyf0xW!us{A`Z1y!|I^uaq@*_gM8ys`y(2C3|7{tT<sX7+&Gq;FxircBDS^_=VkC^C
zerhr8HHy-aYTu-E{o`fv!-wZT2xr5o>LthNSEYOElrz$7(nJd74cWuhP(KSk%&FZ&
zjks`-2tqH7hKWtRH0}fw6WA1YQU$;eoHNF&O(E^Tb=2$o(2U&1>YNtisI>OeQ@LM*
z+a74};d^GF*b0ZRTVsA*<vZw|asT2I`_NQRsq4nBS{TyfKefW%{B_$4Q%F@uJ+s>o
zbfc4aBtUc$do_l6WMhE$Np1?#1owcK5#q8E?Gp<j81=OX%4j$tCnt~jGact{pMy&6
zo2JHF>+b<$b_pH4YeW%ex3iv@c#Yjbmi=!Pq{;{HH`+;twx~F1hiN{o_I2C$MYVPd
zm`<nN$xVxs4!-fD{asvM%4<qb<m49QJ?sf;>FFR)rb@<NT{)!oKU{^9*r?#yk?O)g
zKpbb{ef|U-sYIWIKQa$pe=!E;CTNcmCAJ!<yh2E1ah_7ZKT&OIB~m>R84&-eAn$`e
z<Oj&k9B?$7VOK+M!YAwN<7cf(SZk%<LQwGcPJmI()*RX?wFhhV2jc#C-SFKQi8cYa
z&l*k?KM@<Q+o@69fcXZtp_M8+pB!*>HKp#D)ejy#oz@IpJ}C>4CgUb{;bMzFs0G=Y
zs%n6-D3sa1A(tl#tOw2qzRL!V1BvCpfcb*+#A%i^pUIa-1ES~7pZ^PQeFqW)?sq%B
zCC(iX<h#-3TgL6<+|sdqd#DCqH1^M!hHHraPM1e~Av#7;Lp$REK|buJb^BGpY&P3M
zfM$r?He8~yv5v*Y7(DTL?hjq(@1kvEhXvDVSqS|MZZ0y<huJ2YT&5#<`(tn8CH}NE
zC(GeNH`1$g5~Oo2l~=279Y*b5Ov87q2J6`0Uh=>*SnJ^QpMFfyI32-I<MaAIj$Qge
zW`vafxtQq@)3=}=H1Mi!o|#S@5^!uG%qFr>7m6596d}0v$PG9yA!pc<{~7Tr-nY*q
ziFqrAX2sRj&wqQ>d5Do+y}iA<LbY>{(Ye7eUl7?Tnxcy-?>%OZ9tHOLi&j=>*hS#r
zM1QQ5020_T&wG~lI!c$B`^9B#aYI(?TG0CiP_b2JI0Au&UF7N@`uB*fOaiwmizt7~
zkqU5x?SC8DR24e8?z>Xx8>+$sj>yEfBp_hh!$#z#9%iNWS|`rKehr<Stf%u3l7ejs
zAyW_=8X2)sO&YG8q4$R&gjYSH$oQ2_@{I?_#h?<*ZmU0ZP36^dpRDBkSI^_@_iG|6
z-)BD4wC?VW7dsAVvcyM%-MHrF*6WM065nzmXVc#S`zsrn;aURtDKNJ~KXdu=ouk>!
zwm1!mljGtFRGVmmFHRZ5A_lz|viBGyQRH|}JgpgV8uz23_K1dGzkoDB0C=^>_XyQK
zl3Xkp5SX}Bvd5r|5{b)LKO0XLzcQzN3mP9juu=Mropq+Vag}qA*G%cjcM|cz1JVsY
zp4gQrM~sB`{3mfAEa7GiFL?9D*hvcQ7MCv<#JlX5^gt?oXXp8eiGQ)n!K{9oPme%J
zyL}LqtVq^`*~Btzi|nHbt#l-N{zC>VI{Y>lEF6Ao){jh;uN~<@iV!!&)xzuKUQaL*
zHi`+>phzyZm-FRlP?Z^yudpe{Zt4B{brwuX#_)7nWX()<W6-|W)sy$9dzc53ll`ZB
z7E6IDK$0}*V%~3u*ZXQAdfXY`KHtit$bJks5kgI%l|yS@haL7e9BK%xfsBa&FEk1+
z$@~t)eME|976=t6|MV7|kwNcV4E5HaqR7GivK^7u1s&-C*CC$!I6Bv39pvjHH4Ij;
z$Qv;>Hyz}7SCJO>ZG0a0XV>Sz5`&44XVaT)p|#4=2XAxKcYSqY;-v>XD@WabvlHOn
zgX~<G^;#^0bzv8B@jw;BwSeshAJ_u45QG7YK1=q5cd-DUpkU}W@k14npB+jRu6D*L
za1uURy8v!-J8^~6u>C1^OAAvnsLakQbX?VZ8a+?dv!Te)#zEYlFHTD>zqa|t;rPvn
z_vwG<Xpy3s{i}k{R@pCK;wy^S$hpl8GC!~L8mKN5fj~bMr7_%MV5&L<`s<(GK$d0U
zpR)GIEokm0-DEYdbP?0M=jYM=bkJ!V0nyZuRDp4HWz?0m#pw)8mVh%y_9qFrw2n;F
zk{scSl?&0^Pi)SxC2&LHh_@I8P-qMzOzSL`r}#*4me7jQR)5RhMzqxuv--*?9aeA?
zy?%Y5)hv)mq&@~q1h5$M6yffpN9Z2i8`A&?Aa^zkTapl?wBD1aPw{SMy?nX4P*{0U
zvj9sZYxwh+x}2U5LC+~CD+~wee5SYH(s|Yby$?xf*Lcfx$aQY1UF($_{%BO4-6U1!
zFWa1Ibu&d#3NcI;@)a|vcyn{3Zfr%`;LDeGc+!xwnw``%3QVbA`m>q1AzESTAP+CR
zE9{Y^1H|#f3B18Dvp@HTZ~fV~hI=`%YjS8kwLvgo5ag>Yyj2hG-E(AL4AM4t+kGl5
zSM1NWfeZr@g4@Eyy)ezbc=2ohX|gXP&LM0!C1j<0B?mV&?`sAuazeKtx2an|Mmt5l
zQ}~VQjWW`QWM*!=&rk_9`Cr#LR<MoGU#w5KnWi3T(&hA@iA*H{0Uc0EMHW(w?qX!b
zU{>pE_>bir@j{p$tn5f}BbY(E1sS9(Y3W#c{P)ZAZuJw+#rO?NL}ch^;tz!$r-JMB
z9&6<gG6eS(q2&A1r~SxTx@D~#Z0>mrvNN{8<bv&7F6@Fa4dND!`-D<k=!Aty2`(#6
z?9f52BasWycp@h&_xO75lv`uP0a#06=HYK9E`9iLUAGVMp(R1am^6C?j(*!ih`Gnk
zO2=^o&Emjc1MWLu@%ZrJPW_Oc5Tos?#U&;P{*6)H3&(1<Pu<wy`HdGnl^GaeT3hw+
zvsWyc82Xl7e=+cEbRhCVg#p;hRwIX=wJ|eOs;Y}NHkRGUVadqK`ZRX!^~v_3m<&^p
z(|8Y{D?ra9NViGj?LoZS5?VY_;{0|%3XrJ}UVP*!%BFGR15Uz+HgoE?ph-4!Um|{p
zbLToHv=7E<0R+Jl?y)30?N>=2u2D&?+CLOov$_u{KEtD<4&xI@ss!2eIIde!Af1F5
z@+bdpwr4QF=;^5x_ti&zWVNm&J^Wjp;-Hei@P_)gjkPtYB=20>iW!>KPm{Vy+r->&
zYCkJQ+*x+d|4+GWfOGF8>abyq!+JQRV2x-^sFumR{`qV-5&l=%*`|hu1hi5hk`zQn
zf$aIpzCOsPqwgDw!X!_e+ul!JICl<O5A>EXtEZt*=$H3BkupK?HiScTK5)MaIgf-z
zsDy~e1%l=7KD8mXj9CD(Kw)s@#vUsTv8NLbOA!kPM4!vcK|tnzURN}HfwhWeu-z3G
zcTBpWN+Ko(0e09dlWr`WJ5%+^+T{?dY6`j|ag-cM{QNA*>&{8m%lVyll6e9TEf#9)
z@-5-u*s3UPLJ<;wru~NcuGL&>_^1{&2}U|{NjXb5fcJ4g=KyvR)E0c>gD1)S29WiM
zzl0fz052y_WD;(E{%wTnfoZ@`-Q5ZJ&d#5=ut4)6wm0j%4vSnYZT3ISq4_f0aKy-o
zZyoChMmYQh9yI*$7P%973_y}Ue4x^F!eR7su6vi*5PZbw!l($Wcv|SYeZ4K2h(TyR
zzC^#i=Ke*3YTx}|HC*e{1$<g4P2SumD>4^drp*o%XbGIq&@khtcWQX&V@C8g!V)Kc
zoRnn;-L;4GwHJx4fA>d1UrsaIaEtAd^YN(I<>R@dVokPR2B~bQ^s~-eW~KWd#4~7y
z7@Ha|T?<^R0CNUuO0o99vYPf5uL+Q$zwZE@V-3{31StZdw#_FK2SG5PzGdOhAO9Nj
zq|tv;5jWi*@6oc%9ufPh9MQ^;AERnG=E&2jJr?AKSYWqDAkBJ)<XsL@FA+$p8%${?
zL92&_iHwjbPw!95z6)l_Z3J}O5D+E1fZmq$v@}aJcB4vocsM~GGs4(6T<b*#iGy+{
z_7xm5dYTd}G&sK5>k)6kxpOaOZ;1bqfGN$czwbW&2e@2N{hbgWZ>bJ{1^gPOaKl)y
zGMun5(BV|xzjd?_74`*`XE!oc<W86*tgy?vi5xzR5^77t@CanSv&h9tj`!)${5(!0
z5KQs$!o7<7?x&7Wt5~$d&we^um*!yQ=Rk{CW6>s%93MU?@#Bq$cRyk;9I%%#03bEW
zAdSI{oBmkOc6DK&6|KdRK{)oqH)h2)W?Qm-Ts<rXEjQNEkyUmaH6Znc{1<WMp>f42
z;=K`BE8(M^q&ir$Y7)X^3M3E#oB@sp{_G^$Fcb-drL}e3d)zEE6^k_9%VNi7|E79g
z=a=(f<y>VgT62VwccZ6ot>-X@z`v<lu@*rtK$W_@z+)poq(Rz}926EY<1T>gTRApn
zLxv&Giqupd+_y$Uj9bmEte!wlGsKEN3^ufv+80)Ff&;UtJJbsn0Ck~_2N|x1>SvC4
z%0n{lUBOYyE)!unlBXMrphv^iyBEFdDa@eO1LluqHG9F~3uJ*Nw%Z8O&cp8!fayCM
zlWca)s2Vi!BSe=;vx`-(Izx7HW*==(4dNk!uWZv^0T_Z7Af70kpzKGkJ%_}9vJ%!?
z=z(D@KxZD|rT!I2I1wa!TIXm0H9Y|!kY5$O<=ieVg&(^UUe-2ErTpDBv|d#&q>Z5S
zzb~R>Zc42fw{cw#6<lP3NTydLf|-^8aE~|YeO{A1nnCb~Xxc)obsDG%ihuM78?0v%
zF#mT8X7RakESqqkBNu4P!<cV&TDCH$`!BDp<9Wjt{OlXzF7Vm2nM;6q4$r@6HcP9d
zN?jxFXDKIkW*}7G%WGi{m;3uOjW`w2(t^>#&WME{q73-2zZHDF@lUB^^xAI>f^V%Y
zIgR5*Dj=w)Wd*PDBc@msci&dR+en{3X_#YYUrJ?|zK@dg7*<^R>08s^-+!1DD)vp<
z&Mp$bP8g%zgVE1(-uSZRPGR`*nr|^^*00-?EW2Hs0unkgVHMrJJ<Jqi2#&GXX*4lH
zuk6;i9|A!L(Z7A;74@!nGRBGln!CZOv$Z*R2^n&kEhWaHiu8suua__v&&@rwtnu&#
zx1lREJhvRXC2XExDfj1#a-`hsdmCRGof}kV94gw>MhE(mw-L~lifZ~uemU=H`{|1K
zJ;J-o6g?`oajxy6p`juET|_8w^SS5^$~mA&F99(Y(O&sl31<>eAh6rS?<+*bBdO`r
zC%BT^>9o?C*=3wnGR{=|`FaB7a~yk+;A3un3qOWkQTxD#^iI21WNg~JxV5MPQeCCn
z50cc4^QGu+_3`2)Jbv@$TAp&<lxQa{d%Y8T&<j5gO-R*a`R~TWfN=g23>~b~=lUCf
z$3T6GnUuj+gkmi)6?z?acIL7$(U9euw=-G9Hdry3Qr*|Qk5wB9>T}DO)^#b_Hb2Vz
z(1{9TZup$Z9HNpV$s3`Vum>6~XfH9vsPK41PA=`l|B2I9#^uMy&nDXm`kC|S0&{55
z{47EH)=)AG9U5NcgATFJHwJE$_BbTfhEo!C;Dl+^bd$baaR@nEdH1@`+fg4<1d!n}
z!#T8aRC;rsf5nAo89xWy^T7UzsE6wf2ITmB`2v+3M7^%AhqsM~lv{Xu?sgd^x%qTo
zz2nmKfX8_$=&~e{POFYEgM=fln$N!dqj*zv@uL%wFW0Y&UVwaoH|dfhLjW^x*HNWI
ztQ=fiQ<Iah#7!Je8pX>1fxPe+b>pKjxTY4c&kQ*i=X}|%oN=b4=PI(f>Oo76TY7IS
zMQ$wN`pda;?N5dJfawOqhXW*pRMN8VWE(5wIllrBTF|$#zQ|6#vA(BhrG3QU5~Jf3
zrSxgCMQ=(nbv2*0annAhdJY1@PJ|rQ=vUPE7{>lHEGs@eh1hYd%LXQ%+XU$|TOQrN
z550AO-W1RkU|~cIG+<x{eh{c=A3f@vUUDj_S|ATla_X`#T>Bwa>4_O_&Ub5`t?C`B
z={PPl#1OX#ef_I${x|N9Hg6Xer4FIPuH0(<-S!Zi%EUsu{PX*T#Xioh0s_a2j$>Xy
zR8$o2$mwU=bslboxDqu^oKP;6Ojm!ra#>m8qeU*f)HAkvlrF`_IA9<Wg%agHG<;at
zQKu#KF{`RG&?6OFQ?4dP-d$96SgX0|i4}~FEcdIW`#u*?*}cnt4lpriUxmYQ!<MT_
zqbCJ+UO60ON>*!1`GrIc0|SvV-AW)>)9tc5#jaYd?6a>-l7N35@xR8=k-G;Z0oO`<
zy$K-ug|IXGZV<CiP+a=Tpa96(Gx_-pFdgJCZxyKU6l1L9x;~LR`GK%?hu<bWF|K^x
z0=i|3l4~yo8A2dT!RXtsh|y>}m;A>$Z?v5o7%+1xz>|zN<}OV&RNTD${%@irh6}w&
zVcs4DlNW-XukdUmY|?wBIXSvn`t`m-7E(X29r5N~=N_~I%tKERoaT>V4E!h_+qAoE
z)^u=vU>^Ks?{M8{e7d_!fjsWG+1IL~oe83ZoA{+;H~`Jpb9ycCZ=J^XYJ+vE^@+ym
zKi_oVTASR=mecDG<6a1Y@B{!anyH+OeSCcI)?@Xy)<e(|R_`X1#3=Zh&~JsKdH8*l
zuF#*-zBTRcOfi1`i}*<prTXLj%b_-Twj+L3{SZ6#wYN*l$n2$10&j-rV5(?nyQBmW
z%fYC5V`!*wjaqJXyYx94O_^(vHNNuXC;iY+#)<UlD;GzquH>h9qAV?MZ_oJri!(0}
zL<%B4-KSy1`AsBVgi80)9+akGNRkyYF568NP>opjhXcpBbKskS>g*|n6k|=hMM~Sa
z9uIMvgnNRG4N;RY*x-YBE1VO&yvm{v^RAi<b_TN7gUCiyAr&x41CVcmZneHwP&<&D
z&O$fCZp;(Ke$?v^L~Ju$3ts*=c+}GLu<yu9o9N7(MOatv1)yIPXkSj8puJk+Cpi7?
z>Ob{}#Oh3>Z`t^(QjmT6l&*DVtu;T{%R0H%q3K%z&|S7V+c;>N1-iSi*9+l~IroBg
z2Hbr_L7h2$*%w&qaswvfAQUekdV7$yf_cyj*)rnkyYy)=Wx>BY?g#2BiAY7lCj}}}
z65i~8+~kQp|0Lx0`Sx@{HE?o5gLUEpwmwMNu4Z~}(KN-QKKTBgmOvwHEgg1@TRUuG
zKW#53?IJzN*}h24+s1O(+Na{v$E}=^qlg!t#ptpz9i$Mpzo?#xKtRN6qI>T$G2s;E
zS2{xXb&H`Gedc2&l<7<leb(oa;S(1Zcl_}&ju-;-IB2&by%VH6kmE~?w%Z<J+O-SG
z90&>6Li8&L3nOprq38wlcsvis&WY&!9L`$=Ky)Cfy~e1ka+c&XO)<8aE`Knn^+O30
zKE9}`m0!q>G&fg<+c>Vt`^UKHhL?^`lTEVsw?@nx>PWJmEcn>1EP2`%oIApWv+znm
z!3J}CN(%A42~Z1HbD14Ju1N2*vC_A)=9AX!0jr38eoiNo=2Pc#7D*|o(Rr^pmULYq
z08Slt))t0J#1H8{b9`mEW)Qh?Uwj5--5FJ8$6PjR%D<k{D$Ry5Dxu2E?Ci<{J&sX~
zow&A-D$L%pKr7r~0+wIY9*$eWxcY>#FhiM~CB3nXzbj?ObwthLQZp;;GW8s}uW;?y
zg=R9NXAj>>P@-!i$1&|{<M62ZyZ>ncHXpI>b}bm3P{?t$aHV(WbRGE~MVIB}W>4(Z
zUydC5W8=GELu{)5u^gzBLX`C)bNkhY0EhL%R+YV?09NE@jxH&Wc3*Js!Ih9-u}rI2
ztBeemU%xsn$nlz^t2N6q;2$u)B#jh!M5*n&?{@7P%*x&eusT34u>O4>3d|!%I$;@l
zpblk-i3u8!Uo9!AiL<b?vm-^DnT-?;_846i6-n}sRSJlcXc-3_(AG7&zZu#;rIzqV
z*CgQN)*MJap`tH0*?{p<9$k8vpnWP8_UzfScP}LYH;iUwM*O`b4kJP#7oq=Q<tjgc
z7>7-I6Tuq98<ZFq_1lP>!r}^|F7a;$lMqyc7XyAnd;6^1T<ovVRRCCAUG)yCA=+^i
z>45^{c!uwYDCD^_5(j7W!^XOaS%d3uXDBXVGQ=1c+%@^?eV|VFmU?Q%YQ;uz@Tt$I
zoD?w1Ca-jlez8ovdw05{$p=1mqQnFD3Fi8}dy$_y3-7m#uHN;9cjufbo919^!a0em
zqi_q@^ydHKT*eR$5eSZE08S8&-Z1j5vxvpBYJCA~rhKx4mlrGTWrV}yec!VOn;04C
zt@(V~-H7igziJrc^3W2-H&Y}|vi@Q=nPc0-Y}!p+piun$vL6m^ah73ElZ0gz(*GS%
zH&K{Yj*d{NWRG(miw*5c!M6#?HyBb$iJdN8fA7Qjf^=Wn>W3A7APRVDG&%jLlFWor
zra?21%a@^dT@0z`vuRvwKe5Y+k@U~hb0Jsy<H=k2AK#=V+wE2J7)*1Vs#KcmA8xBy
z$S1lgSJvf&3rWG=TZ9M^`*iV!?XNzI_$l;}#BTlc2(qPD2=6%~kh7pC_o;>jV>gCz
z&Pa09G@Vvett;s4S@tI424I1lX0!D(p^0j0Xz<J|xLqmQev(p!Mj8V_SvElGeI~I#
zY1t@I6#N+ZylV|}-oPXH7<O}Va_-)(x9>iF%^p`ii6}ReXzE4mEt)b#`cOIR@8|w6
ztzu0Bm^&XM!s|!8gU@V(;1tsECo8CLb4yyH(W<!E6Er^oiZ{seIJT?f_xhhzwY29q
zs1hVUIkLmG1WW-!lMWgJZf~Rl{UGhQUH-zCWmFNr^(i>JyY}^0a*=h6>$R}5B?$R%
z%xzgpHfTkw#uRZc@;DSR6v2s$=4W#corAL5a<87*TQURb{X;KcY-qKS1bNc8zEEhl
zAjukz;}FqtnLxoi*FLJCQ$ULb5wyTs@Xp{r(UxIhp(OH@a8p0?q_#HHE|3cVSwcza
z5RxI}bKO1bAL?bcblMdF2b?irlqg-k`Ssg3qN2~wyGb!rur~;Xs||=vuqpT{X6XyB
zm(`{+{|{Xy5Y!{smoqE>W=`Fhx<2JaQ-K7p`T1z^xy<P%h1-3H{i@775VZO~epxyg
zdM|`p*bt^OR)~I5uU+1MM3<I^rs1t;+?E4qnSmhh*%bd>Ohw?9P9OQ=y6`HdMgi=7
zBzOxAtuHHkAdfw(CsnV0dfE}1FzfG+KK%f0P;A@_L7SXh7)dq;F5!~;TGTbcsY%rL
z1OF3-cS%1~c2hqKnxk&4>wj>KOER^|j&U?ULm)~%Pq(Ak`17DXRRHw9ScH=EAp~2!
zDuD+V%MO_z$;xg2b>D^0vhsJ1tPLf1G%VP8ktiv7DS7!3C`q;}${ov1oYb!K`gP7H
zHK9Ah=BQj#-ov@tcOinQ!I~2O0+igBo-9_3l}}i&e4dIF(-Mg9q1R;`SXuXDj$8gb
zG4XriqkB@*oHu98SiD0;NBMQBW_^;f>1yiQQ+6x4x#UM~H-~kZs8^CbtQ`uMt^ai`
zxrB40J)&?i_G-oQ4>S&&eu)ZGDmD|3)50bKz@k<{Oj^1Kk1nwEn~{+^NS`~EfqXOI
z2Za6~KbUsx&@(WoH((*!GIY;@ALnC`dGS5>x~#PNg({>LYbQvjL=Uxe)ql@E9dyga
zp}Oi67Ex?bYO1P<^O;&}{k~;?>neF}0{TjAL3233ifMjnC<qS3fnV|$tK-c-U0oh^
z0?RVQ&sK12xx2aP3o(ukh5|_e*YzacKu0H1d_L%>=jum9oZ>{p2!klRLRK1^d5PB|
zNUz2B3K(n3_G6^y5YA3WFqs?91Pw{^xXuZ(nQ8+>2U(0bCDt?1yGdm(H6?Bl98tPW
zWybj7I3}trpwI}Vi#H9ZWUjV0vt{HD7e5C#dC85H1r(^6{$)Y219p)FcOvNZ=Z{A*
z_g6)+CvQ3kcaxJVue6C0p4>J!f3sHQQnP1QT0wz+cH6gmY9DrEBSC7Iz;4*Rem-|@
zv^u~c;|z-w8=*!VKOufj2z+6w<LiXo2`|;N-rH#Ez(Vi_;**<a_J!ZM0}*zj7dxgo
zB>j~<eX7dx`_Js`ov^S33CnkUY^QvzA+|^tx_L5e^n=xb3VXJYyU_~=2^w6?dums8
zMVMlYJrcDStEt8A27CH*DW#j+GA_F^G2C4{!Ymx^xZIulN#ST%`qhsM_16~__dP#F
zFFP>PmvV*Pl=B;6(_Of3{ArH!AqBNZ43kw<yag?Phzbb_30@8K7TsnK2J4RP5JcaD
zi#65Npwp1fIen_>wMe~_r0Y|q3~T456Q5*GZO8CNA`%i%T5iP<vQsoUv~ZDFH7ay7
zF@x1TV!O$bg!ZZiFAtA~uWkzMfqEy9Rruf>wjyI=U^sB46(PCLS}unaJoz>T+%=5I
z$|tm|od7hz$G{Va8Uny}t*Vx_%Xh`4rG?~tEPOOR5S9Ndf$+)f7Zx6$nvzN$q*2%(
zBu=vv^}f4yxgxyy)X>jh#DwsyC5^3*evEU`Q{{#p!_z+c+C|<tQNsJ<JZFjxAM6UP
zD;qw(Qh6$!bk|!nnnHJeq13G$mYJrbiwPx#20hdSi`=Eo%vQVZq9|!;U`WJ=rTrM^
z+uDf9<9ynJK|7v_SxoV|OurYi;C8)Tg)YWp+r&TY*3;9gdRVQ+CnEB(*}tH?d@YE}
zhdX!AS9>MEyCcLZ)Tr1Cj*gDt$QkKsY!5-rhZo2&OP`@H0Z|Fx{fsf4V`Y01M}EsZ
z7K#M~Qmll9?cA$C2RX_TW8#C58RN{B4?%B&TgnVY1oRx(Hk5l;9TD6L%$U&YIhqJQ
zJTA#&Nc2fyGJ9)w)ljloy^|yR@9WHhtd5Ni^gp*`k#J3t-y}B(KV9j;S<GO{Sp!f5
zbG@pCq-x6Qux)-P1||3j2)I4*QuBo<@<geiS1Bk6CN>OEr<O*>#$@a}-(V3>8Qnv8
zaFOF&!^zrLFRr~3whn%KaPIr$b9a{ORC>LnS)2#ua`>2hk}PX{3et}3SNYAbPi=VP
z$*YJV=~SO{A`ifw=AS?LE>tBI?X+ZDw?eW2;oL!*n0xnzZAHxwvBH>Rk}X)xvaBG%
zhB`^Kp<9HCJh&LbqUJAA;T0yvIwXA+?NHg-kyi1PbNg8Wo!s38?>vl*r1O;;o0yPu
zn=o{DFZ`4-e|q4@4@uv3@6Bcf`O>U0<Rh3K=i0GDF+t&3h3|ul2zS@8Yz!q&xlXd<
zt;f`9=hP!I;bY8CRzn>q7eY6Rges|?6Vy_|s$NfEM#U2cU1nEX8#6n*_hf!sr+uXs
zOu@wGWO{xc@Z1Hzw4*iCZn*~^KiN&-;o;GLWehDJREMmrtRIZT1wVf7f51sI-Vdzi
z*DtTDk@3#viru6fS-?n7YG}k3CD6H&n6U`p7!(zKm6<6Fl0m4{xmXVC#~mAVK4xWS
ziwO&3qoAo-T3LbWMyK56I*<m$rvPlIRN-S-URhCBRh=nM7aC;~6<v7cbz1q^x0yZr
zd2Y^_i^Qwvz(s`?r5k^*`BiN)AT3}zFEF+**nDKzN_jM4rnN`hDCZy-lW^~++R`}s
zJn=-TXV0X?r4vSIO{K2UZpT&A%%Ds)qP2&41JMC!@QBg?#e!oEfw!tWdT>*MGeuFn
zaE;*u=rkwB$A_+jQK&e@-TBM^a^{G-d{E3WJAYa7DkqOo*|OEcYTJIjV=EQ!;h=w`
zA*YjLq_7!d9NKajRC;7&ByxBFB@TxoB5qUD{Hd`KzNGBjTs=O9r|Ie1gO>OK_!t^$
zDUs9LlBi^O2s#4|XO;%Koz>zrjjw5HVn10AM1hTl?LYhU^fHxoUNO*0%y=N&qZ$Sx
z>l+&O0?rl^dJe74<Hv7*tN$7vR{0u&1CdF@knpyr=f<5&JOslB7jiAO74I=QLqCv^
z-~l!kvT55x(OlAT5mdfEP?zz-^xj^jZQ@jQOli$5^qZfZJC$3+h^L6IPz*0qDD(dF
zZxD)8=sx7o*7Yji+2gttu_kcj#}BYg$PNYoSyoQY)w%O+Z^srw<AeRO_39^!zd-2g
z!uSUhEj5!!EDP_?@p0Jo<j+M5#q2jO`ts@1B*0TXx`*bmFmqz{+{<|rk#*Q0%ta93
z4bSsl?I$u3<3E2QiG}_z1%92tpH$V<wC%R4%49D|D4K-URgc!i+%}M3*iVy!H5mT#
zkh($qqtI*{Xbwn=(4A|S@K@E0Wp&bPLX<Ghr+xAyMkNmPC56@z`zx(kh0=6=oRPeQ
zY4mti3=+GvpYclVi1rvj^$!v^IFD*FVLV6R1g8J^M6I3y`XSfskir6&{UNF<Dg<fW
z+w)wOjf-Y1#te~twTk@eu59v6iuD9S!p1H+oJg2}^)n9(2?=e^G(v)c*gd0vpM${T
zo*y_g5a;wVHl1%S*~}<GDwJ`ibC>H<YAz&GNlBciq|{WhLm~oHsBw+7*dD@hi@(o2
zc7XUXSLfGPm~6n?fXNRYdQ;Qn9ukqp*`T8iy>js@ooA%ofAuWWWX#oMlsKZjnAu-~
zM)_BD02lAFSq4E(hIjLTu*3|M?9n`G|KGQ5DH#vv5EJM*7~qo2TaTG`zqYc=YPenL
zb9?BpqpK^Xg3i|$Pr$C)-_PCnI!;ie$)U#d)vf8O$(prxZwisd&+$@lg9r%-sQp}0
zOpyi}`t;ee`rrG2XsCuVbx6}Yvl{^8K7G1IsvM~uP}0eHOmm0yz|D>SJxXrz+t;=>
z2syjEx~SjQ)$!vOcjxdS_`~rJdi~lNKd`CLeNFs{apl{d4l>=QkWNZNNM6#>)?=u(
zVhQZq@8AQeTzgm7i33%L`6Gxpe>vXVwA1{cZjW`z;2mLfi}{4sp^BOqmPYK{>U0XP
z@;LAH<uC<N2yNQOHRmRDFO({#0Zt{Pc0t!~EDCp%3X7wY({T+AZi|rfSpvHfEOOi1
z+6u7&XJ<QD2<~IMQt^!}UvRhMt1W{-B{4w&$TF%3(z?C)yXI?AZvJ9+ZTZH#b%qI4
z9yX_{j=Ee+TGT>+2tLCPUD)w7z|R3N6Hg<`y^;Q|q46GhY>408JBQ~LSpaxK1Y#0<
zt`AFJb#%OYZ4N<dO#2LZqTT}*`Sj`J(^Hs7O!yF_5W^VWF(SCU+AtIQ=?ApCr=Abn
zviP!MyqMd$C%W765GxX6a8kf&ugVjZmgvad_T>vb8{5hd-HJgiVxF>BcjR69N(dX0
z25i)F8UK;9mz%OB+QmAWE=FmGQu6b?_natJXmv@#oRe_EW6*>F0SF#e&u3R95cMZ?
zFL^6u#4wiU8j^0=;(+-do#3`L*4|ExnWy?EZ>L|yU!Cj`JW<=4Z7ODWfzY4T(;gR@
ze_~+t*6%&uH`t5w%~*b*1rA-?*%=wIiJd@jLaDdWhdRFot9>FOZ%Xf&$HH~V#(@fB
zpN+LezFB^zQ0QN94<V~HWRbf@9Nz-QoYS6TQBhG4APqhidf13p((m@|bOr}>B!YGW
zfm+Q4L={>XNP5#x#`>tj`pxk8P3Z%NfI*5B0xWvL6?Lyge78^k2*R7WvN$D3-O#xA
z$#(Y>`cdZ4nc(XN8h}>qjVrRbJY!a-YJ0>c2{#X4Y5n37sT9Yv8I<$|wJa(SBOR8L
zdr1tNJcpw3;vGQ5F~MM?AWkr9X;ETgN$nw;@0UebcU&!<EKujV0m?((rAB(5`le=t
z`&6An(lKnB$i(d~Uf^3yrdBsF+swc|eqAz7EB)Kp`}~LXc9PT=Rxl1Df-lX${G2{U
z@o`D9$d0ubbC%Q#$O6Kr>-(SS-a!0Icb=t%h#8Ol*RK{X&qo;p%{7j8*Z#h^QyoM7
zfu|7Yl#Lylaa;eDnGGgg<91YL<`slzK017bJ?@0mp+hR_>ZWH(KG%|&sSviHcMO6z
zBo}BV;cDs4-+S7hxaLUX;aJ`{jfbTdo5mcms&lb&V`Qf}1oEBvSCXL|!L@0+(2k*G
z#Nw?*E|Du_;V7DT-G~)Ketl`^c1g<ZlH4d*M#I9x*MNTzL?Wt2Tn5GiADDPMZQV9+
z`}^JL4K}uk!NJ#Vlby)7g7FGcBm7}eqt)Km2Sy{r;rGducIdSSHGH5Wot>H4AqoZ@
z1x^Aa>i7j<^?@TdyK?<eZAwC7B18&u_wTW$H5+2cJ$)KI!~p1(l$Fy`Q`1l7*h<EO
zuLEVc{Ci~B6-X-(d$AY6P22oJL#Z=1;@|V#vcnf6&a!lusqwY9e^eg~;~}wJ=}(^E
zF`IpbN){75efP71x98;9#O!wEFk=Zcyo-_OQhw*%yY%>ZG+o;g9R|W>2b_PgOP!l;
z%AT&%!}t#o{_4lRqXEv%Db2Q^ax^}p-vf?zkXj;*fdK)Zl8(loalxgG0X1F=;Q)fj
zM?bYyxs&%~&#&n+RS_nmEPXl~<79K2ETud7CuaWG;C@=#woM!o#)@|*f(r{5aRk&m
z;aLaMiP8jmNlR)9ir}y?c2-shd=IeDV7TMs^B<DNCIm4#Qz%#n*6`J2gdMJqPHc}3
zwz9~L{q9XiOFMS0WMRS02bl^0I)SpfA8L|O#}))clbKol_eqq_MEsgqp7B;{0xG#Y
z_NByie0`;F!<l`QuUbooMeFBo*3R<li&4DlI3~DQFFzA|T4jc0w)iJ)odM*YNfzf?
zEpq8e!jkFkj)!PI<tf(RYH>?Ln{wYxy>trV#^i+ftC@{wq%0$==oohEczqGt!<Q5x
zRnv2*dVBh*1eu7)?{JywEw8Gos{A8?dg>1WG^R@z^W-or03v<-_%XKXv}WKGC{RY*
z_Ue4L?=A_CWw%vPd%NjRp)(((JT8$NJ_rvDbwN5%aInV7ll<Qz;f-q)t1QF4_2$i)
zEPa>&@TYBVl)cD<%^TtZH-i8uq5S=)ebE4j%#xT`(#F^LjmOE~@B&X2GA2$FgC~K>
zI$NU01GWvEF^HXMu(DvWZhd(UO-Ot!5;9nZVPZ;8SBtHfg!77tN%BhT%Q=OS<UtC!
zKbc5lgMwhMChrpsFlUkPSAF#g?$qbcDUjfiYAnheXbT`1vyarpfe)T$g0|_&-jO>v
zZu|M+W~j5ke&P-|uEFYjrOz5f9QV&2iZ0=N$iL@3^HJsZawM)|wH82EeeI-}j-xva
zdJjC&KqB#XIy(>g!Roz^BFZNXF`Ia(;4Di<*UzabLB(Go7ZQDlELR`AD$qA!2FI&K
zN=gcI6j1VX4;`6OPQBrZ-Ma{a<T7kdx85#ITqfXl0i1Wq&W@dfV}5!%I5ad~*8O)e
zMPHuCIDl!5HEb(r;>A-7#Rr6Yf)TI%e{Oy%D&$jrJg*Z2S-T8{bP!F87CWGl#M1Z}
zlWZ;!0Gylx5dqa=iRLT_s=fR|<I<x#i{`OwO75k}w=%rPc%q&|e`IB)BEqydKcBcj
zv8*YZYl!01YNv#U58KdRQ{g#hEx3cTjMUwj)PSFG=K0KboA((kUSNPEuXfuO8W>|@
zspGv#$#xTNX8d9;y!P773qEW_q>`zeX43to=o!;L(|apfHwQDnCe>XbDsN^8BXS5^
z$}%a3V$D;V#iX1=@!4O-@2>q-C#CgFeV0cbBEav95((xv8Rl56bg0)Ucv&SEkPRdU
z_VDP@MAKPtc#iDui+7xUF%tr-Y78DLh4*Y@LR~=o)so{y4~B~He!V)MfB9Y5Zoa$s
zl9P4VcVrCg4+t76!pd9P@drx-q%5n+N-eE5HI@U_0dPr~`mP<8xeiM=W<~GL46#ca
zCZ|p*y>RosaRcu*yXO+cZVnE_%>c-w|L_iH9WLP06HIC{$#G@0v1z(#uq)!R^j$y}
zw+S&xo6Jwq)(3~`ve5p`xE^$9h+X<+v>~zX)L6vwXTVu*MTTJP+Hw{v%~7`r7DBPH
zJl>U2sEo@Odx4*>iCnjf!PiZEoq20a_CgyVqlyYf&^eT6u}Cr8SeTxMhn!oL4S~*R
z+ugMb3jo5f#c9T-p6d$Pi9Gh*2VOVGz1LISP)F;ID_oMO88%0TiOWnXLE}bbbM7v#
zb9E0%oY)tkthVo~xDdPH)c^L@rElpyz8h;;#B83`$S4^`U(B<q2*cHa&+(%BXZ9iJ
z^F?;HVDd9V5rEuCv*N!J@cB&{pIYb5C<DH%VqyY<x_ZDj24oT914B2&qJx7<wKA{o
zn6tdz(<}+Q0t}*GzTC~>YS#&vc8MKMgG36atgoz9!NKLinhhoj7;JHWA@tVjfPH%o
z$=i7M$nm4QM<O?}YB(Ht=4#(R*l)xMKUK)e#IIkhAR98y*sRL?2B7aTrdX)n36?LB
z#^`&jcmpaZ5{`^4&E26edqNr}c_LkFhgYhukR|AS`9Recu@7PtA;+Uy|A6!|Fm_Uf
zF7Mntf?O~@HzkEMao#d^j1JVUA040RveAWH7^#|TV>-TnRU;CxQ;M1)ZU|>izz%PV
zfx`z5phC30qoYAQ40H6UQw$sLKWwU>YWiP|EG&91K5f5n6Z~vDg&FGHdO*=*!eiQh
zUd8LZ`?YHm9eILa^>}!0KWNk?pl2c4@ChwMXn5`u`1o$BPF!ROM8|JDMlp<MI)8<8
zMB-t)zdu-wLlgBRJbFc?r2r(lVud?ZGh14rENp9=bFm9FPuEH2+_g*fWV{%Q0Oi*x
zvVCp_9q+ASZl78vd5qM1DTS?H;0%1Z3tn})qkq0Y@U&7{^X~SM?jnkmZ{pAEdU+;3
z`rWUY9ccu(x8+!N8;+^pzk9Kkh&ID5S9CrLCec4A1#ovymU8I5y^Y$IN+#d{CE5d@
zJn=un7UNjiV1>H~OaAKV7iwt;ZsYxXM@xX0=gy`cepF)(L$EjWVlok>BD>v1mHoN?
z2(XLPHJYZSr~g>So3YSgqjTk#i&|a=4n?SHQOgN9;UJAmYScK}t!L%qrf&R%j|nm{
ztIGpHT+qheVKJ6xZrs_Qu5v@Lz&rBM0#UyE3o*#S!NIYA&9&A|?3^u@q%>AX2$*Fb
zToiQsieW%$1lRw`-lfa?QaS3KtQ4M2rntU}8)QEDRm|?4PDR#q45M}3WM8E(w%v29
z((|Ej?@U*JlGY_QoIu<3?fHF-pG{H>r8#l!gs_DDOrbDyM0Lu>XWuN^e)k*+Zt>Ip
zNw}3+o+t{N?^6?H{Gb!jZ0kLdTTiTi8c@01Q{w90?NpE3_NA_n{POTl0^6(I&wO^=
zJGHvJuX{#-_+Mclz&|4HfSg=+OUnqhPW#S7@#Ons8t%o!)X3IF_1`uW;pE_0gLB+{
zvXj5e7A-9Ig$+!uPv(m>BI&W*Wa@X=rR}fp+N^B3$-9_?7Y(E+?q_JTQBeySGG1E<
zw*P6$8!|<Om{For0qNSH^Mi{RCbeE)M70uNiTBG$c>{z8v8?;=?&G9~a6F<`OD?Ol
z8KjY?r_5Ld=IDQGiZ<H`R(5s>C<N4wSy9%A1OCQB!+iYITwM)cTk7#gYsgkGe~Dm-
z9W|m1PjTXs-Mx2DWv~s{oMe1ZP|ya9dDr1jywWM_pU7BeF_Uj_!4;v_(F!BZ%TT7U
zv9d0mkRsqV!1(Jq_akxn`cqxeBZxmoR52~tmg0$+0+Ss(cHsP0k@+G03Xs{$mme?Z
zzZSWYe;yd83J-p*N@rJ|sb;rTuKX@#uRr>ljLuY|VD%l%OO0wOG0BDhX#oz4J=V<X
zt+=sLJCT}aJ^DEjXZNyn$osHuzV99cMIGps%P%I6rz0FYf1dRwLW5zg4cW<X+p&zS
zZ&!8KE^3~c4;)KVirx?G|H6Eo>otE_K><$YqP*?OlwwXh<0LHAfP&zUI5!8IKCf%;
zFclsLpke(J6YzK$0q=G)*43q-@#CM})v+a43WEfs1_BF#N)F0^<2JL{FcblCXRMDz
z`0Ma=@M)e)`_kLS0|cmSs&tHG7Ke6JBmzq&RG!RL_}WJ6qU7}E!&mIiXfty<2C;>m
z-9+78P!i3zPScWx5Z;+eVUoh$ef%l6Lej-^2b^{>1?dSr3m|SqEVa$SS{$}p#6L7e
zV#dn947nPUaP<quCxL$Ey1J2x%MaZ9ZWJPSyRYH~_%a@{-OUAEtXfNd#4A2;y9t5;
zHc1m)iTMALa{Yh<`rfx$q}LE7mY~#zt6VWl5;Z%-hK1A;jJ?<{^fS*s`-Z$xiv?1g
zNtH{3p)d#WkewL1%T5)ctax<$eb&mqzcPU}V)wkqcyByB$C<w4x)Rr6LQHESh7H(!
zi%Uv?h{1r0rv}?A<^xO+z})L=Yp3g#i`#+x#kU7XY;Nb+DI$i5TS~QjjW}>CTp57!
zo>+uk>;R0OR8Zp&_7l2hfFRPJ1qNj(|B(t17q2orxCjCctJT=nmD`Yx&gO5E)MDsn
z3{in|dg|0cIXSIr^sL}i`EDnvlPrG&Q!xQ(o&SwT%hIrI{H$D`&;A!sf$l>CgSNPX
zHtA2FdU|=y`q_MXgso1Ms@cEU-2A#6>J%U12?xx~z_-UD<YZqx1}VGFH)G&LP(_Xx
z6qFf)4#5n{%gY0N8r5DSbwptSR)*m(7_6#lc4zm6oJdwfAu4Qavhhnxz;5t3s_@Lr
z&OSoF>cz$f06_xHb9g9)qx%QK-idm9v9#D1IrGXdD~Q~Yk$Ig%vbe^^dK3@rF{>v~
zTr=Ek4(slWvF!YtGf7b)O`5?%KqonziDbtFVlFt<?ZTwL=X7bvug`p5O?<x|K6_>Z
zs<OcfbwN8r>w@UG1U@}L!x9X=D6qxEiTID>bB`n}13@O++w;q!;O$7_)oa(zWCO1D
z8pzBMfoL{_RgtwC{SV?S9;W;eLrW-rZNY+d9OB1Sjh@iavQw3I+yRlC5j%a#j0rc3
zM6_!Wl-F{(qIy;drjO`Lgg7M%;kN|jNx(>sZ{M6w(nsL<@Y(-g$RzwvA1b~0p7Dds
z2=c`~!|35!^CO5}c6_+HOSH-_)2T5NQy5okmXS@aVXa8*(CDwT_J%90k91hQ{D=|5
z#1A|`t}6?ZnDiCKyCA~4XG#YL1!j=GGS7pA;;rAhB~q0!F}Z*x>##`%)|`f<ay)17
zmI!JmaO;=?w1JLL*x*%nuBAGp(~-ix8#|-7HB>IU7Ol}HNIOAlQ&EKCg!Gf~tsNb4
zMt+_P6ZYHhlN>vC>@6R8vG2w@u7~I!5eKb5PA@E=;SRnjq~-nk`BMWWe`?qFGE>68
z!e`SOh&*eo^B50_OWr}aAfh8oOWmggEX&HvaSsU4t;P{W0wrKv!AvlOAce!i(o(0(
z9FD$1`1{)Vba<lt5vd;#pyxhA%@Sx1cp`vxR}-JaIRYfBWrTO+Bq517!gziJ5imNk
zPsUvAz+oPBUNl<as*Bl^X!rw8+P<w5rwMtD^Sabf<N>%h#Ha9h;k(X1kKGDtR*dt6
zu!x9Ws4Z0r_5cjQjEvvhkc00^*RaBBvj6O?GokHihbh}Z>O7lNrK~G3(9zKeQp0|P
zaP3S8;+;JpN?TuDZZmfIbjc_HN>^`OJ{E#y?qUxj=UZz#PfXVeE-i6i_1cZMAoZBN
zEEU^ZCkkrnQV0+UKt`gq7@1`_4Z|Bp(dhNdWL1o9>Y|dv?QFKzCrY)Cb4cp1{4pxL
z3P#Bn56QU)iO+v)r7mivhU31A+8`n;d&GDYk*^1|Z=fG{F|O$hiWA5wV~;aRa&Wz1
zL%#g<%{5u}FYVh1;IkqQXrL8N%!4HC5P?_WIFJ(JRBZ^WRPhA86FMC!FDjW3c)3^;
zO-}v86C^ZZZyI|8LSK&C4L%K5DGOQrZ?@Bw6axpR2mB1z`6TT-f#l*mWGkURFge`$
zfYW%6^zY%|*?PZB2`L&HzuQO3Dt6YL-2c$nxgpoGo`;v$cio+cnT{%qw`O&fdFJKO
z=oklGVLm26a&z^FT*WqiS65U6T`2RIDX{O-h&{$1ROOF9S(Z^Dr<@0|$j?0IQrX{a
z-29AFeUZZJ5s9+yuZ)Wi96h>*huGt{i+4WB;LPc%J^M}8SqXsP1Z6bxI=rX*t4@fO
z-}B#6Ye5VoK~fcPMX)jGF~%bZh~_!vdL0NV+#HET3GGZ!Xiv|)#3}l&wid0#G3~bu
zMIg3ae{<=Zz}3bYCw8Y!J`Q8+kFimA?}{(i#ts#Mp~o|m@(yn(ctzj}Vq{ymFjzFk
zQJK-yP=r%0tzP8`!DSW2{jkc6zVo}zYbmz*P~UmXRcz!~-<qhoOEgmwcmW^+V+Q;F
z9(6ph;>5<XRM@uLNoE@t&qDJ0`9OCr&55DMryi$sa81<EwfGT@4S}?5c#oRK6r-sl
zDlPZOzGd6>E2aijHp4MGZoj)Jj|nI~mQoA19cxCH`4mi}#J_2nt`WN@`SfV!y9`r8
zf{MpFosa=<<@Qo)ZBa-xabT4FdXcFyv5tQ&q5EF@46}cew2XiiD`zFsZoQ=%;h(#!
z4^z`~Kzy`srrsSI4V?qeKmXjaOqqSjCO0!#|8<G@t0qkK<lEVoOeI@QEb6zWKB2t0
z9~Nm`j)3{yw&g%chLQan)tk!88e7DpG-{pLr+hVx$v;{jl-UVo`6a6p{q{=#c$|w=
z0nQ8v$SoV!4PyGxq=g#@SI_w;_T2aB$AWepM{XvfDaog={%C(eyP--H=U6Vr7#=0B
zxH|1rcd=pVhto^VD$qF%@@SA@yh96=3O7}HEoJi2I|?H589pQ$lywob8Z>ISLvbuu
zotruzvFe-h*ZzBDXjUYTH50xa7&^-+y57;Pavn$p7mgD_KkNL+<m83+n|+nHTPt!U
z?q?PKP<``<n~#qeoH(nD(MwcBgi#dt<M|42&uiBX)rbQXgDavsNclqmZMHV$3}Bv+
zkcN*Ral3&K0kNN#H-~9Q{d+c^!dK_=texj^=mLcmhUy1lDIOjo=U)4>>^s7W8W}i*
zkjzvHRkg{Qvy)RC(4r6bg+UuV|LYp%=(e9S;PuhIb3u!rd3=GEYSoD}Mtx<1;6qP=
z_wyY_syecA6W`UP8CZU2emzv-!5&$P$;xxS5mzBZ#WL4^-pyuPSfw4$R&o}qwlO<P
zRk3>T_c^4}&BC5adHrG{_51LQu80Yr=%kcfbE1g-bD}K2w#V#|d*u;Zng)WHqsn(w
zhSa=&{~oVtJJu3g1&sY*b52QIT?<dl=OJ?!B`412L_3b}a-%7ZmTL&Tohh(WSe@Q-
zv))%K-Dk#1WoY4Ij`Nb^Mg#w)yqT&sdWrU87r`0f_58Od^c9q6`mzHsYk^lXcs?_s
z-|oHdXid?^QAc+DmxhWod>oVh_vlRC-VI`&rKDiH83mDzEj(vAt#|2KqKm7}6@E%H
zwgb_lBtw}SHNbWWe>r<lSwLz=aXUHRR+5{^$y|-EjVh2PLh`s`C;5p1p89cjr2{^L
zeAY9wlhbGRAOK9jP7}u)BLR2{swB!iDWh-O8#M5>JI*(3Y>Z3Fxo)xcAP|JBtA)H*
z+G2bH&vOvI7g(A~IPa_9W^qc1@Hj8;wCKZZ)5_kSo};Ct)U88zDu;d-I*pw!8a{rn
z@NH9*19rgEV?zjhb{N|7?zP>uYkyu}Yy=gAk!heND3U|g?Ul0jJyS%qC?CnBhM*3s
zRH@q}Psi`tVTkbyU%a5Yslsy(M=Vxxfrb~H&^~<rybb~i<2$SzP=bmT4>Lfvpgt7x
zCm)13)>rv6zsAOpZCqhdcL!Q6YF@wi1FC2C)!)#5R}-Xef4N{uONBvNpjk9x$gbMg
z=9&pc=R0+SA(v;ucJEYbX8ce`TkpgdpHf^LCxRR^h_Z0LKp;45vlnwPUIi}iX_A`{
zTO-az)3cC8ZftMZ12qTo;$)tYYlYEPe#)yXC?;18rw^?|_7D)&t^#{r{uN(ilDfUZ
zeRnUluhQ$MAIogH+VQ%snHqQGxvbV>$+@)l!3*SsypA%fhG<0Km><2<VF%?iQ=VbW
zW#6tV%!IeiFLL=^s;A?nS;F5PPwHzrZ}oTg_Y9XC<IEKSE`Qv7R<AZpfk_~Wx<wi*
z;zPzwsw*t6ZN~$E<9D_)rGO*P`cnyJ0urt0ec!vg?GD8G49_GKLOyih7GH944oPgC
z1qK!?0oW;mIix!7oaa9EdHb(>(7E|rtpx+GlSu_;Zxi^W+>qU-=usA-{~xt;GG5ZY
zJ?w(#wCk3eCt~{3-{ghl(PW;Qo>63%^ALw`C4n6^@hPh>q|q2h&gJchR~QuN*WW9J
z+yC;lx)I(+8yZVhCF$;a*H~yiKz1)v!r|z7?R+yv2}Amjdf%X;V-(3rTS!R(+b&^1
zh1T^@_JY-0$OBEB8~8EUgn#)zroICj>%Ra0G9r6#*&zw3j1p1_5s4yugi1(=2xae?
zks=x@*;%EKy_2lS9u0|-J^ruje$MZlf9E;RIrn+)o^oB^@8|P=zb3h(D~x7PrGf4Y
zqRTKdGsETl1s+!e1Eg`G@fK*n-2gF%TZuG5F!2BB;<7$0!W;%E8;n+G+|OX-IN~x&
zAOu@&Y;MAOBo?L#q6G0N4Grqi6VR2}+S+=0u83s4!uJAU%Bxo*Z%7p>pdk5gsTj#v
z`Ks@`Tl*cUwx<O3+gtNQHO9;g43fnILtnq<_FU1FW-J2j$AfHD?@}sLMBI3189!Ic
ze8g~zH9Qte3pSni=U8V`M=nYx;m^h7R&wzxvh-)do?iFxsFzvUv}XPM_{kI7@1LH|
z%%uQxD|Pz%Cf{hehoRhcxZF_m0N*Af`(AdtCn%nPP?0OD;ohEdkzo%pA&SmzKJN(J
zdk8$4O*)b=|E6QhkdmNIXH)CQ$;DN8F?ZOBzP>osobXXz*2(IM!V=r#ckjM-?M*Lf
zI#^HFEc0pW*R1)sAwi`lH{3i`?8+qWfpiL=P;mVj79PI#H)DIFfya5$AQJ!K;bLR^
zhvY9Tw7~QGwqq^j(!lw{{?M@&+hGrYrpXL-QxHG?A)6fhjJGfTum;bakIyC}&i@}l
zlmPsb44sxBudFz4aXsB=W1LyAF{G!A{VW3)s^frch3OU+l4*l<M;<<zu=NTCmzS^q
zLo)3m)h9Bx7PIk84xG?9%KLfWWG`to8-2V7S>@Qv6Wcp4-jZqGwV&i8*IA>O2U@Ru
z`J_jJCl2{P>VQ6HlXyA(DjmebaELo9EzQKmW!_k1AJSQ{(L%)%7##d3<{ND-IVI)#
z+8TP$K_KB<hRS8Pn3%5F#m5^Lk)bnsoJ@i3nH6WSNE<eYhWdKQa^l^jQni!P)90{n
zJ2*o*g#QK8zI9>fi7b#=curq@KK6)S=D*-s==?tT*aAs`&PLNb$aTNWKWZ64wR6IE
z)iP5KT|JL=AA-m4ZcqBpdUmCYaQIq(L0b8turcZj?GF_HO48p`s}KMQh;<rK2$fyW
zf$T%ZtF!8i<<H!l@ABtUbH|QF7w^(AMn1xC1Nv%MYXFzX%R}xB))!s|M18+-{5C%B
z+N~oGt={)L%X$OhN0Mq9*?2>SE-Jlc3!-zmd9!LPn1>L{?!T9J^6px>&~Ea^m;0ik
zqCD1<0Bh{I*OJ6{?YP+8U&cHAEa(+v&bxbf*m2sa)^cgbhKuE$njsL%WBR@}O*%>R
z=6j^3P|L(Mn|Q>v`?-33=l!+h<A2E*I~v-)WEVQxcz<4C;^*J~ay1{Y3&P<%Zr;Qr
zgnJl(OGoN~5G&3<`*a;Gn~Nm#!vU&VJSXMcFD_~?xo3M^A^Nx2OZ^vsA+V)3-OhOM
znzwPlNZ?Z>dkbqODJMoX*$iPr1<BSk^^u`!t1m#@0`GjP&n6!=+t&D!b&y1nttpS-
ze{HZ7d_IoXWjuPrm0o{QX#|hh*NJ|?2jv+S{ki9$3Z8mR%pOtM7=w{5`LxTrtZ5QC
z1KXS@%hW!Hxzg?wl4^enf{)p+-}CqKyHrT+x#Wf;bEY3go_AREynaOP(paWWfstTB
zGe-SD6QlrPs(yO}C4d+o>;W_S`BfovotCz(smZ9ww)unwF|7)28@yJyH9m31KQfSj
zI1EP~@HQlALD|UyNR5f<`mqLXsWaN5P_7i!SQmot1sT-k09D3yEf$?K9(u!`E!73D
zUPT&Qhw`tnzJAZWrIuzA0`O7*PtTqOGc@m~Wq}qAN?DH<$|=%-OU9py(k*1Y{Mr0_
zt~?a?kNaT=QA(EsLQJo5|J_OUR&E`eo7@6+H|;>HG#$W)9gAPjigSnnNrG@pgq9R}
z>_jGX#||n#V{qkg8mk?O5TRxmcrmQh?9Wcnh<isTr!t6f?>2(ZeUR~7D+7e!YG2;N
zN#D8~&AXG)mw=7yeMN+~w|u2pX4kQ+1OguEe?R-)R#c27ew>^0^gH2q-&0YjK=KH}
zf^aS#{l}$zi!p2ALP<19WicfI^roZSYa_|JfI|4YbTe;r)aBnGvFuoJDhm2XknyVR
z&`b#r7%{L5o@^b*QK|BYXa4SkX#AKkT~hlU!gwgRIhd$51^or!E}NSSw6!2J(@aua
z@(^ncMbgao?_N&BHPTd<k0WTBmV%6_8ms6&cAC^Pu?LS4r2vv07Dq$J>ocMfo?JUC
zu14e=3H}3)q706c@ml$ri5Yao1JJWW5JEaijM-X8&ZA$NWy$!T3LBfE@P%scQH8dc
z6TbV1EEpVoun2;<{R2_P7VK?r%696GSc>Jg+18|!5>l`pb}mH|bsb8RM2-aTx*6+=
z^-=3HyT9k92mE1oRE)et<sr8}h484Pv*RT`rV1V*3jU*^JK}6wA71jDR@Znizr;r<
zhji<iQ9z0F$a@Cm6@T3&<Yr@1#xG>&{_M-oSoye@Jpza~6j^{Xz(SguHQFBj51n_8
z*EK^3#qe-?e7vmtP1%-JZEU)A2dxO;ijZ)NawpqdQz?tr4qYM^w?JdznhsOMI}BHL
zLV1AM>x<XGY$ITvKibMzPC)^=&GB|$^#d`cjIDZoF|x-~Q0FS;DiOce9wG1zr`m!@
zQ`)!0&YzAAU}|xttu2uBJ{HWhC-DG+7#}KJ&w}%3V-IuKhuT`GNi^hSP;)RiJdDWL
z16|plM@B4!;tZZg<=#%Y{JU|{OppKxgU%~crY*-ZT*9~4JqQbTjF@Rs$qjS+&o#k}
zh@uFTVsvLed?Q191Be8!0V3iBZ2am+LUm)KJxJS}3;EN(^+Z@+zZe|z<$l``JTL`G
zk1~d&_v3Ni!!>`aLi%1zNH|t!3}Z(G+$k~^Hc<{3lvlw8`Ui+c;b7ALxU^`mLD#sr
zkgqr7rmytYtGWNfANJX!B*9jqnpTR!v*v2XNhn?5ZDcZTy%iqTXB0i*`{lezUER9R
z+*S84vvePT79hq(OriwKp8aANlZ6E`X&2Yormqp6=jT_=&za&tL;#;({9BbhGP`?r
zPFmd4x+Hvtg)UtsD6n*%wMB%ujgXw-ssoem%Jp<BBr$^|dIC{{IEGfmmZn;hal8D+
zN+0ukw8S}%n?CrM?=G!0lF>gEp6fBtY?kEPU{FS&N`~CEi{ONTkDfc%ePeKbHmX#5
z;nM|&xnrK5p6coio$J%YM|Wc!i3c41+0LBjst7|VcjRwc{ibqk`LL_CAu9i;Y6Ul;
zbXSc|gyVAQ0R{?|^G_ooSMSZO$qw27{Na^9#}HV7gS=6ud_P&4^zjwiNN$%$<nYDd
zq$BdzXsIe@`UE2x{u-bu@c2P@h$iZf6=y^fpcW=-%~@F&mzL(fzLm#DBPtqvzHIv?
za(yNO?x_J(p`$pCix$%)kfdMt6_}u>K=hHO^?R+S;bCD5$e%pu>EQ6Zs3?B&8zZJm
zBO@ck9MZ|_i9!Xrq96alvQIF|z%jPcIi5v;_C&nVugOeJ<(Tx}l0v3GCnk>P2PQ^v
zMNc521Sw@JVtTj;asJDqrjZ+C7eq22s$aKHgO!w%D}D6H5*oinf&PW6?4gT}t#?B2
z+&d0mhVai)oXNii%OW1m=a-b*)%3f%OFMa!P3`-IqOM**HP8M;V{QY!(0F}lbo3F-
zM=7aHJUre&srH3jZ*_KzVORCtC1H|jAR%@+{m0l?AzlV}_cBJNFE6uOoe>{Oboizg
z#7)2_!tXgsLb#Z_1U3Y~tguO#F_tR)B7EbnbIz!-$ggi<ZQ9NG*?N$vvV7NJVc#mw
z8z0WR*Yl!ry8X~?YZ|Y9M^jzUCF3pXJ&C%ZseJi%aZ?BfbE+R?&1syaFZQB3^&sO@
za+J2`mj!^((H*~F@*2y?c7KA9X*jPT{VKUQrh(f?d2g`Q=PT~0pf={r&gh({tHzn!
zS~NMQOD^L&A-avX>itnc#f)awL{3gU@pB=!f4s={{ciI}&)4f^P7apODc1@N*+!CJ
zArb<~#1orwF8~S#je^;YI9)tv!TrF%tAG}zYtzT!!h|qlpvup$lkvjm&@6Q~h8mqP
zy1voop90p5N_5vY#V;RTojs-$jr;iT)qN$qQhqTo*b^LnG$dq<KPDqU=kNP7w@lwS
zSuNA_H6lMYMz%LI)WYR|b91cgX^hQ;9Su@23V$hAzDLmG?i-FY2CJ`>AHNCMWzGd@
z->tBk@K~u)HYgdNJI!=8dxES^lKRKlzB}+{AGsn|t8)43!TV7>^7pl$MakQ2-kbNp
z6JikAlv*xFN7<@3au_%G_{24nGKj~Z6NilmVnqg8T0C2%^Ying8H0urhI)Fj_152i
z|3-$zwX0X5xym-H@qLQG^n3R%b&HxwvcpV(xh&zL)KmQmpH<gW*+W>ItgOZ$HiFh-
zH?t;2>?>C!sN}Vu0Ahdi$UmQ%s9gksH`AUrgYB#<DM5|oV{h-YxPuc1!kk#D<6EaN
z65V=-QjM4sGsa0JsS+7-2XTn6=l~YfDS(n8o;%>2lmYB1P^%HwC3GzShECPCvw18J
zqd78^5nJ$w2aG?$<#1NPQI6{i=qLUgQXP!hcAauxh;~3pNypg_VH6_d89o~aQx}Zo
z_*NKb?M&|nzM(J2gVsWR3(6ndbs6vZsw|Y8Dso8o#?Kqe-T(X$?qs>1=7et}w6zH4
zd)v$f><>=V%X1&;uM~=~f7s<lYx(OZ=V#oec_|_{$^Fa9ZX!Dd*W^``Q#TkcbVsLK
z0R-&HxiA9m1Px=3a#b++K_&a%$#Y4)(nE~zEq9-EU@`5Ee+3sadu((ChrdKE7tR0a
zQ!t=N*g;S-{PyjX@6oM?Vc9CRAH_G6_GbmuTLXN{!y8>m5wWe!8>WBmmA#O12ut!2
zMa7D@Z*|k;bR_N_b`5*rDKo=XDX!35_;9Hphzv-w)r3n2%(lmGb?EHUADjICea|9k
zkU(m{#wk!>mM1Oo20%<V8GukudTMG?Ju@?%K-C~M7+;#2aIkA2+Vk=?8r2sD5Jr-~
zZVi}2lw!1M^zEaK@JDQxtkeYJ_6K1%f=C($O0PfDBlyhMP@-e%wT#(egkJF@7UWX0
znflfPhbQ#M>|$Y3w6}*F%>CSW*WQ}zJ5z&K<6?K_^<H>3?iX?vl%gCh6_s(xm7b+v
zgH_G-@)h$2$Ljpub|i$4%|&7lJ2F>JynALg+Tqk{@zR6=rt$g#r3SOpR2SMq>cbo5
zY%VB!OvRY6$?amWxU)W7|94QY_wL&y;TC@Gqx4DEzo`g%hdcJVB$22h$`8htQ>Q|D
zuKZhAz(?$4YRb!1t)c-fIjm79_m^J^`*p^Y)$^Z+<T?*MF7jGB`T2$u<k1tblUKTZ
z{}dY=3#bApJ%kIu9;|d?j3iN)htCB5Wqxk%!!Dz$@Wx=DYtI8a0Y&>ptxC<{pa}#T
z+Bbr&h%LgM>DO+W{7)r|dYeKc7-(o{(vEtUK4#7XH4IYAI!cvj9k_Qd3Z`QLg64^1
z2GEmWfc4_+$$D_%!HeC~bw)2Sx7AoSwX}>I?!^oDcs-rnw=yB2`^0i-u~W|R%m*`|
z9Ei^({t_R8BG~ucLXZ|*d$>0No87qa7x){1KIA$<j|wRfc4Ii#CY$%O++(voBYyou
zrmW<Uzkr4KC5In()fvEJ*_@?)zt>G%0%yVVo-4X+PR3X4bHSbza5~Sb;jp!xELU4E
zeoF^a2{!fLpb<A+sw&i?jwD$vX@85v5qR@`tv>~Lz38<ARH?vbAzlSVfrTEz2&};x
z8aq`oi67ymOH;HAKI<zfJ((F|eD9cFjDaVRF-Zl0UGn-h?d4noC&k`#1^Jwmr>_?*
ze$Ff^zowX{+xSWBtg&&}p2Q06lNEv^0$n@7C!(ikgB6+HSOju%TBn0-WmENEpredC
z>KTk>(lx7blsD#5o;xp`_O<QFSIdmm5P2d?1wW^bX6na+O;))ni*t8)hwF^F{G^3t
zjR0K%XiA;i@CiOhKxpW#cj?J*RyzlJdhQwMelZgGbAZmZ;ZwX*%jZnpDpqQjA0%zv
z-3dzbx=&{$f~?Vb0JYo<76b;%B>C|G%OZg)cIaJ+tZMo72{Hzyf}6jGovSuWf#1UA
zwYvKB$rEx43PfTj7+-dBngcEsS~T@LsAP$cilDtrz#PoO!I6y~j4SR=PE!7fdY^A*
zIg=Ai?-|8~QeLPHt9RyW<goBLYh;v?n7H`YhZQb1SMy^+hXO9T@QNy@S)@@oUl>}E
zM$-%62WSKjAO12jvOW3Fh?_EkEygD>KW5_RL@CetGDV;Imh*%aL|F#WAP^Ie@n$s{
z1IE6{s8_GZT}sIE>%I}%(!*MMyQZh@GW)2h?2U4JvC?6iYzO-QeF4@6ERtZ9bMo_b
zH8e&eyrDLL$PP|PLnKIoNyEqZ;DPqz>MEhdTSpajJ&9cM*RML(LP%L?j^FL^vl8J;
z000q}!_)~ZaAJIXw!`&5+Y`EOCXO=@Fz>;mf|GE8rHa30M@y=*>VgE=2thV6$yP|V
zs3!`}$+rq!IH`Pz&;RY)BiGj_F?_tHPI5i=2kV)c-{wEuD<d??qTo~8kM^JQ$2R8+
zKmjqSVW{UzYX{0~QtDW!nGFJ}Y{<1We)nnKdrjJ=M7td!k6Kc<uB<}L+kqtXVUS90
z-48`i9~y$fo7=I~H?3tJ@Ydy>`#^Z~?%nMc{_4w+hz}K5)j|&ITWR;rv%TC9!cn3x
z;`8m>pcKCT$bhDY&^hcd_>D$Y{UD|;{<#?pt@2JoU_XdJp4ZFy4DYV|W9ONE9I+}9
zYT`()tL>wEOhMq}<4bQ@U?frPf70zJ2W=Lh8YHZQop1%di*x|ki+0ek$5v!?IXL1z
zgGv}J1kat~yP<N~{vkOXC{{3UE>j<E%JPo-U1cTCJCufmwjQ)Xo>%k(ceo`?(kAT5
zC}UeLn>R6)lEC3TX<}&%*|*!xn+Zv-90c}=Alv7R=SYP7qoSjkkDP%0j6*DTDQknH
zg~oF7usS@opNR+$X-<z8U*5`n>o47DuI!ai*x(a?Urf7QzT>LCZiA5ydu4JM$NNb+
z$Nu@M?M-5UZ%U&?oQ71@#-E)0_g}0FEB|&J!QMqODsq?Y8)pIk^Bo_1DG6|sJ(2f>
z+w1DpoS40(&i)BIkJgSVc)pFi=6#%EcrXHzk$C8esHetl5zGkjH4=oXoL+U^Wn`w)
zJbn5t4lxp?_1R)vnELw(rib|d3e9I|&q^P=%0J0`g7VQ*${*&?q%50y6!o8O>XJw-
zBlt&<mTghosI3ln$ztN4JC1{l*yo2O9w2vojY#$W+FB1Wr2|TO16Oz`nLKXd)FqZp
z(9xL{*=k~$K|&#vC)j78nm}{1mzKS;+~LEwAWQ;ihrb9^DmV;uwY0_ugU@!@<I)tP
zZGrzLzMx)48?`=<rC0&rK%yj4FpeBk4i5Xi)%GhT07(rD40g8vgiKS}d&!aK_a5p?
zt{scFKAb}L@NSr5jr(eA0~Ca*I(^K=ifOn|aigi-jwHbTeLHWe^_aHo(6q6c`0cmt
zjXa%BY9)_Db=h})bj?HD`7Q0YM)#Es5oOapxMI*GzNdDytl8)QL-*IN-Vo^+p&X-S
z{LVp3nO8=I*5UckwEv!&>Fe!f{~l6R75&VKQ+wV$q>P4eaCx-YQHJ&a9C>fkSnho|
z941i{MYsL}oTe9ixJ$oB{D7uGonC0f%gLFNp03<wy(S605d_u}ib=b_@VoT*_>}Vl
zSB1%|u`$FdMQ~sCfe*D@eNPAJoqkiE+3n2K<Q}Q9<AbFdJ`coTT|YoNIyq@8mxd`B
zbSc8>xwsU4R^}m5Yb}D?2hMApR|nGC6KK@V-PBRaw=_;NpiQ{hIAU>T@NPt-9q0Ey
zhYlWu3OwdqI9B5(k>xnNU0d$i(K`DN#>q5qudb;T4FUnAQ78QT^=mhO`I&4R&fpW)
zn)FFvL+Y&sr@|o5;&{^(Qk@fHt4y?-|L?VkH?EeU9r@%>ZJBuBX@351ti3jz8#Bt1
z(Of1{cGrJ93$jgw=~kc$XMe=K8*!|p#XD3CZ2ZC&z>VUWiff(1J8?bErnaQ~mU5CZ
z+z0Qa`OEgEOGlGdBa;tCA)K*ccNY}hhNVg;W`f7wy?dUQr!4RM5TfIbo1DSMp!*JV
zD*f%-*I!5yzHsb|)}i4+8p7$M2X2BQG09KcH8SW32bAVN(|P^~PMFwtUSyM>;6^u|
zesg~A-GqnHV6@66CFa}y^+hA0`7F+%HJ+gji9bJYVF%qNW~10DUN@WLb@80vMP^gW
zYbBQkIS@<<IN*|{EzI#Y0Azq_4-X0im0Vn!b_!4-L)UT5(NR)D0;@D`V;Ck9+-_%Y
zj6<TcxxPF|eoEtTL0a12czwh#j}r)lM4_>0mmeN-w|Z8!C;3<~e7E7NUR^zT>eOG-
zeL=GB&&<^X0~5Jpw-e^iW46)Jp%V=h7CT$ziNf907;Vvs?jNh3`}deYiY>E+l(LxU
z=seAOmcA&Hy!eS+m8^eWtcR9vZ>`SY^J3l)d%mfcR+1Jy>{bikt(4Z7<eZ0jIXD_A
zm%XUqO@Jr_p%hKFMHpt{l#ddeDi<1vTY0As{Zrb$r!kkz&zFoX$;(_(z4+xW{v9xo
zkhp`CM~XdEwUw2~>I@4Q3ZqDoWE}jt$E%WEfik=VU>s)XmxejMU%rwGm|q*tqrduP
zL#ZK{NqQXGRA<*;&n*b0{AB)ED=EpzV;iV>8$kj^PXs2{0QQ2R&V19F6GfE8k_gNM
z({dz}*{0A)qv@*aiuBjGHTU;aHbQZs--NK#Bb|or-LvPA3u{e%`vxIAtTj+#Ku<P5
zR$G}h4Xtp6=|vM0?^5R-u;}G4kB>zhY8D&m?S<b?D$;28o_jW&4KVpZ#<E%q>(rUs
zmre}mzc3Ja5wz{PTGq)Cy-j*bchy~ON5NlK1aksXM&Ji_K@N^&7@cul4$l?uooYND
z{`0B+p6w<#t04n%6)|`$O4J`4^V(Pxy>Z_ocPX=iGXLwHL)m<abMI&yuez-B2v7uT
z?RoD*+eISQsPdLA=2}Ca-<{tpTZ>2j7H)Dv)q@>(&rX5jJDSs3wmn=rTSPF6bRzB)
z-zq$Kt@qRNheBukViNTTGO2|V3h5jC>U2g0mL&W<h~rUq8LbXkcWGrdDWR>NQT)ag
zjF%P$i>>&$dcXSIsv1W>&i1Cf>g<qA`MXy0tB*_N6r8ji*H}LBABVUOw-l6zCMIdc
z#RvTJeX9+ZOc`^&=nYU~C<AmIc6C+E2NCr@ejJvOfhSKNix3-IiO(w7NY|2!X6EK+
zxC3@jP{iv1&H<ha!vL-vbao<G|IFZaz@LbZu(%`PFO1zqvK6kn{-e9mn}i&2cu55A
zX#rP-S5GWB2RA#``jaPj@SA{PCmIOD!UV-cf?U}jnB6!wCd}y%KCI9P1hwO*r6Aw)
zEP_`x#iJz0E}2EttMwL1o{r$&!@<Yf2)oCwYT>2(Mq$QE<=j^-D8nX3+`p%+)!(q8
z2<KTCIi3X3)i4T)Z3Sy(P@@PX7g5SG7+Y1fom)1{&BBrpAMXmeKGC$p;OD=*WNpQo
zD4QrZp|_{)JV?F~1Y+Pulzz9U52U%O0$`4lQ%74HJOWrweVwJ}-nA`x9;TRYK1P7S
z?BS$Y#sw|fX8j+0fdf}8$gc8Oe0E2tJ3I_Z%ZmE7ObYLxWIv++?L!%C#RoWSD@)>@
zmRFz9U8n@@WRxcFUM@81c<nrX*<CvQ?~enN)e+`xdzv!rIhG;z$1OgpAceGcAtBOg
z29=HKk#x>rP2wLaM@&NTz2Si{-}s@nWIqyQ`M{Mft_m-T=Y_*pR@Q#ropjmDN{zv`
zn-Hl@Xu7O)mQehH@YpPB&$*EFy)(jC5Rj!yoO!Ekkrtq<v`}Xgb94!!tWVsX8N8o9
zb=TJiDec)$Ya{<KNiCK9Q;@Rom#vHE0~f^)`uP<dkkP%OFuWz4=SM}DGx5@g5O;ky
zOd@v=n=aAzT7;cu86)}^w!C-p&%%JA(`NygNQWXJ^j8>#(JRYeW_*9Hkc^UEy-$>+
z*q^}Wh_wx5ztNYW>#Ki(M<vsIekUf~Dirq(slPDmz-*?00JC?u+_4H{YA|!27+H=y
zpt$j#R@aA`fVN!3q|9H<f7jdJzcM5@n4HEDJh1dB$;VXJ&SV>R1MD{A{9Vh*mRF;%
z2^IAEhm24*S`o+p(|cFibI<40SmLEShS>@$?AGS`Q~k@x(FJ&cCWg^bOYA|HY1Ng~
zaXMw4jKE@qbr<DML`whhV=TZOWgi<((llPjUIIitg>m}tpFb^4O(`qY&i~anV;a_Y
zq#`LfyFGBEb49$RB+8<=c(+Nsj)_{!vkUQzq?ziZpYCcU2!&gp{QNh|NH6Bri5R0}
z^}Ypn9^DPUOG>RF5J=b)7&|;@*X=#>{;#j6rIB13V}ag-ZA#zP*AG+MI?m;-zn?>>
z<yK4-@)M};&eGE8bYlR;-;}K9_2?+4P_jJ3rIO^bGWk7EZ4Lz}mggr<JrOezV)94R
z<9D~o;<Pj#`RM8LEjT;z>qdNypMOib$au&kADw~K+Iy~*HF2Po1G|wY3ZV}m043@|
ztDQ@#G3?DdP>+fDz%Su!dod0AA`cdjlHdBTvY<o1o-FPm+<ykGP6cTEgyuys9;gPn
zwRgTwNju8lD3tV&+^)Lc_6J3}r*bm{k}ZvgR`oi<DU{}!-W<e~Mnzq8=_1`|%bxvY
zRL<xYX>EltetP*pxmRS=E=~Ol4i4h0P_EAcR)kq>=2h(hn*GkayiXlwtCt%WhRwgx
zrpP<z;f4E3FtQ~rG!5<<R_*(9VMu#Cua28}>!cp*NmKsR8?jSLd@+W4JAIT#YHBi}
zh4|sqpO_C-7>+{Joft@9*(XU%N{UzYauo!p?^wf{R^a!lm52Zg4!-rvN{20onz73p
zx%kkg=l`2~1L=hYftH=ilAfMkBm~@2`k^~wg_4eWq+J1uB#}1XTsm6}Poa+oW7CBT
z$uXoi&m0RCJG}0qK<VA>jwTyF=;~lg@_E|1a4VqF2a}0rRqVMc1u3#mdrNp$1_X25
zHYL0ogN`?a42M?ObV{@SDZF;*yiZ`FwUXDEbb8kFr>C85a(Og36;hvXic&2PIo#e@
z^Kew5Ai(QV8ToS@Vc6yL;$RQN#a(XP@Scd02Y-A6xpLE`rFIcn7g^ip&V2mV)!SQ&
z?+*q~A`J-!@ko64?b@osMT)>%nWrLZ6%`V91lPdGf<vAJqX!QtTWI5sBTI4W(cu!-
zPN#am-vwP#foN+yemuY^w2P#GWz>M{&D#8=-Q>#xYf&H6)10uDGT&y}?aqldM@(Al
z7Kw(+M9nr*jSx2X{@S2i=@pDpi-4c7s}eQnc#NRt-g~bFSr_rYpAyr4PoiH$>uF1K
z^NXCEh_JB2SBf>)Pa>rfnGQv?hei1v?x)LG-GvFYX9=2&%1R|5$#rd@(hEvPB>xxA
z4C&=;VyvDxEgTc{^zW5s4%5@`4OR#)()v~8y0WpkJQ8;J$l`~60lXuhq$2;SOqNSk
zd^1p3JtRYGBNkZpVM*@T+~`@nL^dbmAWFH1B2M~R`)#$l3Ll#QCjO1^n|}L=_YcAv
z6%;&yj=@<c!ZmaFVf5!TkzHY6xAAiYdrvgl3nZr>{Se5gy|ZReW#X#^XQ9!nE{F6j
zY74#(pEWdo={-_clcQBfXvZl&ugT8xqkgghL%%T0U<v(G@4UaI^G(6eE+wCbJNaVd
zZ%k`1DS&_6LSp8b4CT$=*H)J0cCN@gXx&IfnD(!-k&gE~+m>&5elnf9xUG`qO}BM%
zdcl)9EYOM**NAMY<bhNvwmYga8o9DCCq{S5L|!`oKvh6s_v2TQ<N(Dm85rejEM0_!
z7_R_VFckyCg%<{x8sO^yJivO=-ObJR(xtHnYcPJbg(s8kk0r>}sqh!7ie!YnJf&=M
zB||N<AU{7pGjr^sbB832|JVa!?gLRj^i5qVIibQBVz2nU!8ddz#r&_E$_*8}x?9O`
zCPDRuI%#L#VGEM3imq?tnnucO%atMfOiH!!bD|-!GArB5tfurnRxgpC(Ja+?f5uN3
zJmPZ+*tkN_`{HUYc=W9mN7A56ywyzciXz*{uEsDm8Cp1#Fu-6-p1^Jigch291k&h<
zdnyfsDTC*B<C90zZX?SvwzEBfl*%W{C=jy4iJ}B>(+XQ&&kbH;(24CNy6`<a+u9r*
z96nwtVGXLVSy*#bXeEql?=WBGyS)3Ch0j7glmzcLmj;1|F!&wyI~b?&+GXqm0u&Oq
zxuY7$DCyye-03jH98h?S5NjNLG<*KvS=QdsknG$;GVwR$S{PK6Zpf9jwORJq<L{rw
zQlLoUq4tf=KBCs!%ZpeHgy6eP0bh&RSycpOuKoL|Is2rT)<f-}J12zb98#v9ShA~-
zXNIL0dp^c!l$(o-JJf|T;XLf<aKaY|7#VF|PH6VT8$k2~2?>=eh3!2F%_AnwZB2e}
z?{%ye|D@ePfg!*~Loyk9Dg%Q=9GpFJP*URm7)x{#g)D9)+)Jjv$fH%_1Urt?rGGiu
zKn#6_kSM7&Brn8Rc?RWG4>fs}ef-I}=%cT4AwL1KXJn`s-6H>TpH0kMfc4~ey2#<3
znYkI4^V#hvJcI;Ot-&&$*3l{9m{`x2=6pxJ;(0~+^(~)`w9DAGG0`D5GJ~Iu?UEsn
zW_}+6DN+)76PAB|P&&ka$~D&TMJjYw0FKXIGdcTfz)*?Ld2NvgE2D3F&yy5{0pI{R
zcC4m7e>63y{1WY?zJa{WDOu%JI`sqW``+}lwnls%?&z3<RuP?>z#)+})cf5HbgYun
z#<Mi1@X*i#pZ(^+`j@zb|DAG^&f)m2Ds82IrOQz+;nl;|;Km8i=+GaGY@}w1XN5C$
zlC>HV8@J;?A;1!h<n`7AV#_sJYow~(ZkS4}tOU<ifo#W12aF8@doQK*|BBg!ZnoLV
zF05`Kn~Pz1zY_`;GM+Z3H#16S=(r1A(2~k5E>3ViCX$$(Z1Izn(}d85L=@;elTHQ8
z)Uge8brrsPMa#|}s?b+nEGu|<pn_2<I<uC_@&bp-)(XnCug6j<dwzU#Rdx?+{&0}k
z`#MZq4OEtXLLzJaSx8nAWA=AxcP~}Qqj;vBN@{tNI{m)0SqY7*-HuOM0_@iD`x@;E
z2^7LtF233<@?>Q{Q}@ataz!O&&oJD$=-Wn}!;jfn#~v~hs6e`PRo+?E2K!z6FjHlt
zrEr22PrRz=qIzIR2=Vyz`!VH;WIR(IqT~2*L?B)foVLcjX;z%Gny1PrGL*<GSi83R
zS0(3e;~PGV=A+l(17WIwloN1Drrx)i8C)a^r|&@B<%{@@d6$MhU4hx5*A2J37ryZh
zZSu*s%>Ou3dCMyQmkT{m;PuL4p_mV13|6k3y^bVg4*woq{?a*kL`upDrvw?@FUf2{
ztf(V!+W;pF6EyNZlI274=pChn=xD&ZHn8emO2bH1WZ~h-!DcF92*;DwQ)&i=<-dO)
zi?={k4PP7drTF_n2M9<?RMgHTn<H8!8SfqtTt5uzU@1it5cCkqBR>bRkB6%(DV&u`
zHVw2nX85z46R7-IY3Eb~(aD~QRu?2ZNuiKJSUqxnVWFaT^M*p6n$%^!E3uC}TlLLn
z<F{DyZ8LkWuQ_W@H_d{`RcFR0`csd!1ji4ALXNdgK5NoHODKeiAPs&foDZj5WxQWU
z1&G*^5mo1_&ggsapE`G~(MegE!D1Ihp{Zz;fge(8U=$Zu3A`w_FX2W*ypgS;T7DnV
zE(HDoJ5YA_9@cRDkawcJyf&`&d~mpL4y|%S6c2KB`W$QS?|bAWlS<;B^&Ds5KI5V%
z+v`_w1U>nj+T~ztvvVu-o!~0<(oVmRGqJPEp7SJy4}SS=L=1bi3K#d5B$>Ij8q(Gp
z*)9I@RD#+pRU18YT|GS~i>5S6lcwTw-A)w6cFu$Z1;trD2Az!`3oroSKZK#Ejh)li
z550e~`*oKCTv(!qhAGAv*7%u0Ck^BjSGs`Jd?WD3vl5pQzLTqOP6}(9f%?hL4$1v_
zjM_iWULB;uLGJs{b~A@vk`U49cGL|xIA^*<+W2vdydWn6)CEbo^P6AQ59$-<e=vwk
zO5&@YUtYFP{`qe$|NYvPzC1JR5O&3iA|kdmcX#YP|7tYwL8j_`F4Vl7WxYI8et4cY
zIdH%cJ1OcTCmNy<>s+;b+h>#9bRX}NmLCfr#Vk3?j~sW*xg%=bivjr0F1g-0tvg+j
zd(Mdhr}e*jgkZV3_7C!7xblWl!;=oo9JW;A`we(zp#1t{fR(lum{+5J#zPr{ZcN!B
zv|-}Sgb0$aR%W5g(^B;A(T}+`W4u1)3}F@JSA~6j*o8<|lpM=BSkl#z;E(Hp9}y_l
zbvx4<f5UBG<);$!Vfs{Ojzyp)gQFMgg7n1C6H0P3KGDBBFDsZ)i0yfH%9#IGw1UW_
z<@V(v#F5D37217I2##BCd;6Kixc;IwpMUORT)mR2p<;Yn{2oZ|ygpusNO8O^nhBz8
z92{ksS8Z)$KUf0yT-lBO2nbE^#X>p-R4$79P<S!>Di1ud#5Oj`OD~c6g7{2S<~RV~
zN)Xj4(yxMl21^^V!wH2(ZPckrgE0Ofg0nDT4*{blRANV!l(xom##UxrHA(vg^2-IE
z`4yf^O$st^^4U#5muBjgdv0Uv4Hw!EP=Z$Bn|_ylEBJRc&FK!^-R}R!7Np~HAm<H@
ziP^@BYd#p(FVk<KaQbssM41PPDoA5vwJ(pu$c)}=p5&a0VF}X4xbIgO-oz)8T>s2h
zUBE69L)Ios)0S!TkKd6?v06{1k^0-5AQr=`sDJU|%kJ;E31IMYs+dZ`4qLOlS^UOi
z_FsJ8v}&?$(PKvn_Sis)hiCe}e!XUF^fPP3A*g+VrT>Fj(#(O63;TKw{f7hn7#&5=
zDl%2n^xq=UNG%hiv(PiIq*FG7^h*JH;*p`DV26cRvj0<wstYh`rz@pulfk3N<Q1G4
z3lP#aXzY#*cT|#Dd22AIaWTE2oIAR!zI^?P7Bns<riI3;h45;2g79sM98$}qhG0lD
zvb(vW)X#r;{a{@5bUCdIE}W>#`BKo`kVF<39@<4{Kc2!7&5`x;WjI?kd}|z%MtTMY
zbx!Aj1_FBm`DwpA_w|XdaH9b1^8|tYyC$!BcdgJz`-y_KsM=gIxqiK{%V81V)l`xR
zxIDbfc*~nU-kNH;hnH=@@MuCt<HPHrOEB~$ob2}^JxsQ8P=b4Y*j(w*_TAd8_~2-B
zLjME*au;nLubMAvhs;N)2mnj^Pj<T0hqDpG7Cq-JQ2=S4zr3{c9#0rNrQ5HLRO2PP
zPKV_w3H+ma4C_e<B%Hpy4zo(J=dk`aR6IzVAZ)2H9bKR6JnE(>w@cw|%U7z$WU=S1
zxorcRWwf!%)L5p-F$>?m=E(T0F7m8GY?!cO`E6NRQOBcqFZdDsIh+CvY;BS+$MyT6
z-fb;@`syujZ~ScJ2YW}n0lualVOL47%aptZCKO4JP)uMY!-$QW0b|?A>Dj3N(*j_$
zhWijXMQ(1d4J4pwc&K>84hl@FGK8k^AHC(aopp}aPY44Xh5&r5!nYR|b3^HN=m_fu
zG5FQr(QZc$Ix6luoe->s#R(SxXYknHRbaT_=FiIoW5)#Bl;r*y23I_#<%!DCRor|1
z?h1BTC$vlMmMSz-D%Z(sHv~_Bm=5a{ZBbwlHo9TN{VEz@@BlbXB0{zLJNR}sBR`$|
zspt0#RahRrgKGd#=ECA4F}u~v{a;que8=rjr3<}#i%E5_1;5z=6JK2y`HWrCwFX<3
zmBrQeSC%XagoEz%o`KKk3Ha?~yT<aTrCVqpi%ZDKB_)O(N^3uUF!7mq3zC@~4tlt|
z@23@J+_~mWpeOH2rJ!c2e#G^9);?8R&S%9X>;!7nP<ZBex!m5X`t%!{B#SHe(%dzt
zYQ)2f%F4vDFL=`v5DkXs|AoQQzkd*lnjDStQO;<bh<mcXm+@0ahm?@ecw6cLyW&(<
zRb-StzI=<=1MxKz`c#9H_y`X_MB;W7*MaFQdq@SoR>i%Ul}%De{$9^ljA$Ft1SW6I
zctNOT_gmM6Uj3X`2_KV>z|${AB$2lMT(lI*8J%a^;!nkSI*ua_Ziqjwsn<U|pqBjs
z!NdL7hW4S-b{mpMx|BwXRG+W>L*ER-DDEDe@8^wVpoj^Hl=WHM>uUHC={isin7+O^
zp~A~7hGj_2F`|abl6Mo_HBmYU_}uCHm3@pmF$fhqbP37*2&9w!HCr#X-ub)ZvCApm
z>8Sdmn+sj}M*Al!S=Q3sluC9GM0M`F;YalzX(T&v-9)m|wChvQ(eEqYE-d~ifG)<w
z`JKCXHb_|~`~iYaZN#_f9dWKnOsu01<_gwCaOK=wI;Sfh^y@c2G*A|N({Vgg{rE=p
zV}j}!fe^rY;E{N^11*l4FXWFmTm)EnmMwJ;7v+2$CL?5;8?oEtnGaXcW4m+bIl8k_
zwQcT>D*Ipl_<)nQMGfJau;m&6Y=p8Inlp6$GBOG<?nJ#3W>gSLSab0hlaoTETArNT
z_u^bOS{aB@=mrviE8C-FwyAN>{05B-1M~}~l`H>N2O1pw9DP~yf7LZsr4mDcU;w)R
z3<4s^&@}xEVEsLDg4|^19X)_S$ZRww)OL3t5EA-OQ$xbb>v!b%1Bu;fR6%M>J@$J>
z#;v<UXC?kiwAbD`-F=X2JZ?bu{xjo*-MG4Aa5I9|D7o6_yHL-8zQi2inG1+*%`+;z
zyR#bXTN}Qw^z4@req1EAV`H@LG%xQHss{(X+wUK8R0zV_hHdQpZqY$4fBE}y*@xe9
zLD!0trQW*m(m{1qRYFE*r=)yu>4)y~i}mT}2#nBl{SD^~Mj1R}N8zS`A0F(Q-x_Os
zMvm_QYe;aOt_<yQ+9)ax!z#&<aE^bcc~4M5=>ln+t!znYDK<Ov#nY4{)zf8+f{jJT
zomPJ#BKKJ&wg0orkdOe3l}m%DsK1+KCporwbaP-+0ly?H9PmwC5}+V>*%X%#YMaRD
ze5@XI*!>3-pwzUqZmzB<<`kAnJQ2|K^B?la%G_?F%J7xpsa8=OWgPDqjt71XO8g)s
zHiBekW@dd;Q(9PKm@iaA;MW@O+Q*2Kkl?A5uKt*5CwbkACPz6i=?Q6Q;%#1O1)#UW
zU({*7O)Jwu8V5L!w7=&hTw_qs>MK9%50`WLrS5dd;eOuBms%Pc^NWk7#dbQt22B-8
zl{|(oUYj#&i*DGy9e$f@7u58YP)dz>QT6fKnoiEmb$p?_(HqB`Btu&aItG$mvT`eO
z(O`dF;T-0W4o;8X!w)kuwh@mI?@@;8r<|TMv^9Stu8-2bykDKo^ewu=hG~|BkZ@|$
zNO`(4{JXG~U95g2;0|Kdf-<rk@oc=`TKk#7chK+F{9TrER0lyjRo8<7fCv=>w!u?e
za$gxE6Pe4p?ciH&+B?5x3=U<MPdh3$ytE?}NG|vIc?4)*<D^XYlHnv#{YvUi<I>T0
z`k>42w*?dhp+UStwl3df3mT4@dZ98JdQWX_Z7ggEvqQ$PloUI45bmIhxupm}c>Ow&
zm4b$rHnDXIQb{a8Z7nUJVgU$XfP1|-GQARj5LMjnn8Xlyazs#0*;2T7Yb3%&oM!jb
z6mjFi_0YusrM>;y=jUgWIvQweu@6G5R(y#WUmxx}BO^}xpY7LkE$!_asVyD<)abQz
zGNK=J?<Ofsu>kEIf5l?kG~TV{>S8Lt`0pQ6*$h4kM7QK%A44HwcJ?VLqTF-uy_xnP
zIFqsYmU<&rHiRKrelba&;E(in9OIZyEV-t^ry@46U`l2#l_JFVobZTfW(g1EYzVZ6
z*xU<2`pvdk;t~P^mQabH-32o?bC@lJ2+%QKegC1fQLr3aK`oWY6slZssuXUs!3A~g
z>zjLR@hreF5&jQnZE%)43<+;C-&_)9Z2fqTO*uoi`!x!=+n9yFUVsg;yW8f#K#mIQ
z$vDXecm7n9lagd~_8~+*DPU6<XoXXMffasmxvKlD&mb2>GFIM;7r+8(d3w?NFb#lz
zYN`i8J7>?LnMgAyfF|ezV1@33$O+W`%(OH&FgOT}FU0Z8(iu?wWhh)Ht$u#?acE?n
zOdIA>%>(%Sv%4H{QU;H6e}#awu2m)ePY=H<ebP*49^ef;W%wido)a3_3HZ}Ju3s07
zIR`1_fFrbO5azm8JP0f(;Ie$Bb!C-8;O6?v+hQ)JLB!Xr9zQ)2&E8!LYkPQ(QHIx!
zV*SimS+}?|q4tppSpXA@Xe26w5Y`A`FDAe=gTR>c7dhCO=NIP4H1^ft$IyLv_z?Dp
zy>7=Y9D!eI^4$wP@lXyS1(L`KwPC;QO}uhPH0B4Y7&&}>y)wC%Z-)Y$12&6D2gE<W
zd?`V&36K$Gv~jHPiJ|#W=#wb#A1O~vTp^~SV6Y@$-7oW87)Ri)`2PKc6&1!($&C#S
z%4lxH_q~~u9|sI=;?1$_?p=VQ9%@_)d2H+S*}mWZ$Qtc&Lzer8nVy|Ur(W%0jHri6
z+BUbHM1{-i8LKgW_>?UZLDIBb1~ty;TWW6pUPH;>miOsNvbAaKzlN{eKFPF%<R2C~
z25){$lgJA!e0@ch5)e=ep&b51?ANg5!#In4NW6^DLx6jOk`9n9z)l!f!G2;w148^2
zL3eR+XH86w*tKz<Ik!5&=y&Gf8H7T&$+S(%lq-JekDRuuA%8Uz^!4pcX^Zzm0|SZ@
z5-qZE^^S5m1}|aEmfJ{u_8qGTiq@n=k|x4c%`4!3#wkp^B(9X;48Yq>40#z1I_#)i
zcs%1A2Bh6*>B;x{?aL!@HvS85wiPN~dScFW@+^*uW5+gcan3+XNt8PRug-(Z_w8E<
z^OKV=`2GEK_OUvKd9;=(&kHJVt0-u7<{$N>*xsZkU@t-d(>{U{b+rECl~gnt;uoUW
zj{f_64wp0LcT}6{wEQ$$6g97;+kfYg_(6}+?tqn90m2Zt<jucte35M2o+f{Qc4F%8
z9;VoV%qR5CtIq-`8L;@|n!W9Pb~TI5@8j^iwCkx#C8_(P_12d}uEG*DFn|pI^>w<U
zM&1osloOp0$`pTzByRM@@dcl^0M_-Y?<anUeZrlNTE|H5;JV8_e_Enyar+HY$l^2%
z&?A(RqH*Sv{xUM&aFLJJ1jyYx@Kj$B1PFx8U=9klW?tPocx%x?zw84nNF)D+>{_MZ
zGhb?qNA5*@OxOT?9L29r%kOkt>-+f7JB0M|e&exh#FZihheqt)Um}k9_HDl6UkS8Q
z<f(};yWhNNvdSO-$pSB+_A9*REZ5^SW@&2|%Ty=HiTfD<K^pW*+sYz~Rnp?U55&}`
zdu@JQ>qnBhVXp}SyZw+jgPKl3=^(Dh9TZC!1&eEk3j19-As+$|az~(E0*0fLXB{ax
zm+7Z0VQmFfPc}c+Li1UgV5Q~g&3nM&0~GwoVX8i(LH8+2BqvGISk~$T`Tb|d)zqMG
zQEzp43jnE8WqYHu3Yjw)d*XmtK>P_07p!3T&HAjDWH@1~?5EhpUVBz(@U;h>=j$XX
zf=le95}p`e`rsOz*8^N8X*bA`JB3PDH?Ph++HHK--Ysd+>xT=nN5F{CNZ(JKX<;J(
z5XqohJCY@$lTRPxsCG^aq6h?8NPSlZ!~lIVX^Cidi~1qi;F{$|5=-RCC$*ZPo8`<y
zn9@@qqQ>9L)Kv1G77_wbDGTHl4y*xf7{nBiYMh#CY++I5x4i{G3WD$)d#7&_cuY_n
z4Q?8V(joWnbL*GxQiVc;z%WB{bJ>l;9|0vWi>j!oES2&^HDEHuJUMPlP!(V#-?1Yo
zFwo^+wPKzCZLJS@*s86yoToX4m@%Lvm`773GH+>L+xT%vmfF!uX02QkJ+8-kDRp#r
zoCaV-FD1S-mS#4>M7cSFKOC=KMZjXx(ToVS?$^+ts9x1PUVQ7{4`_fFPFSr!u`hIB
z{!sbxas8O12nWF*<w4@&vElQxLPP8{lvHjMyiIj`M;;dx%;Tjsf9sJ8#|t>TGT+U$
z$fDlW{NoaLKhw9HS#r*MR=%Axwd>hOqGxJad8w7%-^+JD-}~=A#@+FUl~(p^8NLKe
zyaEmQyKg(TYNT2WKh+klzA3(|(?(h?19)VYPWSyAro+qOXx%h*I>?Q&LsR<Fqi*O(
zan&SEM<t0hoOiWGH}?6{p)Ze}{fwbOJiMj7{gTB$jFl&r#}_<tA!eU>h@9v`=G3Nr
zxT9gKJb3Uml&(jPq&e0OA7xg8{g&#TdA@-JzI|NuQR<IjNU*gPQ9J_`F``Z@mhe@N
zM`+Zg)L3ygJloDhsNuIQhLh%(TAvj54SxEBXA-X_L$#yakt0V?VhGtF?b)YqZ&}j#
z$BETw5rq4$rjj(2P8`%hcz_gH<U~w0-nbOdf^<A`vqKfdSy`n1(4#>i$;{4v-pFVr
zUzbGndw7VwjVYrz_4lX!ZiF6pcf?y!RA*ZqthqUAWLFe!o8sCZXnQ+OM(9uc)5~kz
z`$U@;E+D87_&NLcfYj1A>@|ETECF9%OanVZENxh1o^CSUm`GVd3SwIjqPd;LGL4yN
zMJzTg4I0)?J|)lChuj!!eWp|G5in2r$CV1Je_Pv7@|`qC!{R&#)jQnQg0g!H#)UtZ
z)ndUw=6*m%u!hJ*Sec1QsGGFEmHjK&$JEz#C&HvjEb+ge*u+tX&6^^i1}tt~?(K$)
zl2uIdk^T<}6^1K6c3!z?<?LJqUE1k~UKq*&4d4j)`#57F+g>^}!kV*kfyMPDvX1)4
zmy(bc4S#$>?k=SIVP?le08jyu;ot%$p=9Oa0t)~CbH=&3QQ(Z-#?~9N`hJF$_iS6B
zb*RgMB7gCW+RdLwD25)r-$j5F+-Mu!gBGCe_4PkoArp!Njw>l3;D5ktqI}#3rEq90
z_u)$#_Fr*O(9pXWlh1PYk&`)mqtN8>r}ezpK}y0EYHYnHtS}#2mG|kK;~vYHvzDr?
z3(-sir%;%9JETzJdxUv;`*<PM!L9-x&h@_MH(F&T-3{jdlG~@JeZ9VIxB@tF|M3|z
z#fYGlg^|!dN8g%?RBtS#Fy2+n&wBp+8}xI4*8lwb_Z3e&f**0}q@|^KyEBHJ04xs5
za{lk%pW9E5c+6s#k7=)YX(DCBH+$!I-)I9z9F8Re1Gi1K3bDAo_(J}~$i}YiX588T
z;~&~lv_;W7_+Me1;h|Tj@3sX1ZFqRb-Y_(-+Ad|mQz_W0&8}F-OB-u*5HX;zW^Za7
zBa~2}waoJ&*$}Zn!v~h+90Li>x2h6-UnHaVGVVl8m!9|o87tDlz2ef+_MHhs{6T6^
zYI<#~Tu1)r)D+vUT@O=I;1<E0(l0`S3v-rnPq@&!`iT?e<^3;B`(ogtaqZMB<ytS}
zu~ok={?I2p3+BA$9q~Nqmj{d+N(jDT+<^}jOKRWwkr<=2_`?rHZpTWBk#epck2oRp
zxJ#TltSR7xoWODvow%*vt_OsM{cZ{*vsy$q3xJ7xucd@YJXvvbLZ5-OIHZbTj#{zA
z#kDk3q;yKW(32UolUM{JOXv=k`3&a{3dzAI6*Pd7Da6A%uAf;H$~V(@h`SLvRuE`l
z5>+^5uMtXBH}|<%_68_Z4UxlVpPb&;5a`R4m)#nhNLgq^jBwiyvi~0nQVcZ)OiYjQ
zu$&3)+KT;>S<c>5QUZEE8nWi`FfqplM-*6lfla7-!o{vr_d1T_l`Q8%+j$w<gSRSI
z_7M<lp}bJXa^6NF*b1KwO8-oy>`$fPZNik%6erAZ`|fgO$0<p+=OhB)w;<3b;2?zR
z)R9Xh=g{cik%iUYGck}{mmvaFUw=#AxZK4G67$Q3J#EQAkA^s@!glVs;^V=1>aS||
z;&Fzf(9WC(%FW67ZDPXa&_x76BToXQ64-c9yo6tF9v(>=BG{1NbAzP}uptniiN+XU
zs>-lIAV@ItcnI!X5YKrN1%kx`KpIi@U1JHc_QhN@u9*;HA~~WuAX_-7bB-0?^}4gR
z>-T65nSEw*yt~?HeKpDav6zqvB!xkPJ$oIkv7t=D=pf3AcX5yQQ$XezRPgZwV}oM*
zmmW|KKG7RGv}1df!i0qmx|c2N8}^rdRT+1ZpYL8y`fibwaqY_$2wq#uatxapJGNsd
z-k|S#_mLw!07(3xr2$xtR1x?xVDE|KIsnyxg4P-@$2A3<97Me`&V7ic5r>Ja-PN@<
zB)U0%eZy8=TMVv5(kU9@_PF&z2^6Xl_oU3;01|r&Uff{0aLxSupUck9(h?H!;rOh1
z#10HmEuX1f_l|?Qag)jt2BM+BV_V|rDiMkUCcns$M8QzPB~&;0(N1u0QLLHMKx(1(
zG2wp=An8UwaddU|UpQDe=jQGXg9u(!2;FUE!8Afv%xKu=dP+G1>6DlWx_*EobS@vG
zC^W(%t}SXS**%Sw0qLNKc0xic))7$c-iYL!n{xtl15xLv+q<7uHBluLP~o35RV?cg
zX*gP%!8a9k|29HbE<POOL3AA<LFO|H#|gZshYwG>dSP+An9C=U_E#csAEEcZtYGb6
zN7`DH3`}}5>2v`S<LD(13L-RI$?8kmYP^04Q{`TDi1pg#N3e-_9p_9p3+&o@B%b(r
z?A_57MV-E(AxXBeZoh{Ys&>jAalA#IkbY8~i!YsyKsE4@OW=pShqbKD_V;3oCw)H^
z%^F1~ziKs{v>od4(`Z<TskfD7N@zP~S0;G@Sqt#E_+TN}t5TDk(-E^l@<6IKJjTjy
zzK%tgc7J*(wyc21Dge7rY+hs!;cyPvFf|Jgu%G`7g31<O@V`5hd<9=3tT=<z3b7y}
z6l-W(F#SDStFw|x-=-Uv`4)Y4Yt6(0^e0%xAgMxDrh_77*OxCu(emrp2btxCnZwj$
z_};mUsUZq0JPTN&ApGFazOwhavG+dsT0cDO3vDCLeGD*yf@4tcqZ>>+EKR+(hr}>y
zMUhVDA(6Z8?8KeimI5>(vci$;xCrx6T%|nnPPoo|#?olc<A*iOIls@S0BPHK5IW+Q
zynJ70r?j|u(<jZ0Eb*uMpazYRIs*t4<4JF?`jvASXrL5}RXF!lp9`rn*v@b+;8DMD
zK^_bD)z@YyArtXC{kW@t;}Nvm7dsz3yL?Ag03vYf{i~{HSv9wRfM5XcbZmg^7qOZM
z#w$!D*`=cqhK!~P;Ug<F)K^F055Clri0T>iDy7F@633wxqM!aSV8VF<&j5MBTnEis
zHNk<;{2k4JVbe=TG}iz&3GRvBv_HMi@78QY+_TGRm!*jJsy75qfQ6okx@?8;_VHs(
zz()=e3&_DBqU>8sWr0Kie<A)efQPMDDW~DpmD`cp_9r<pk&q$}jJH_*nB)mVL$=l3
zMXkS}VVJ&BpfZobs$eViH8t64pSC*2$|{be@9BMX$G>mI<<)<TQC!rrV-Bn9=*R=M
zl;1ZvyF_d75sij%e=JXQ|FCd=RrR2ucS<M&TLj$A`Y%K})iEsqJJNb;{p%qWU{5qL
z|JOB{5V=2|>5%V+C$eEC;heh5>P<=<Xg5DyDFHwQWM&-a9+rK4Uv%<A)xj-DC}KV*
zj&~9$s&a;k)rUaAU=Q5ivc|SS0Rd!+87e!|I5f8KTM#~QPESwO>4moFPwcDDpO*)d
z%P=3MP!)>9fl;^>0@t+2)amSQG_J>|S~@%DBl_yDFwgOZ_s5%@@6c?Imy6)$3}5KC
zi9sGv2Tw>0Kk4nc9XzvlbotcFC_-*9s&Lmj8n>1o9-ZF5GDgmQnDKjnDVzD%F!$D1
z^4@;ZEj$EEoGZ8)Q2R3zo@CMm`yMv~^EI71nK`NJjNmN*ziX5UzjLc@Z<0W~I({xJ
zQMji|U_wQy2+eSH;(YPMcK4LReVPLS@GC$e*Xq~${RUA%lCiNqvOR~DOqkwz<YvvE
z6$j6wQ6{}(2$#ft2>DG?fY2W=1gheEL*A|THL>2`chiJ#xjXzOAq1%{v>oX5^!8rf
zZor`kSAD$kg&;BqZk=6kP;`pJmy*wui1HEaaET&WDJx4zR(fJ=jES3DOT7<rfxpx3
zgkq09eBmk<Vt>8|d5+V}w#wj>8b-+CaRvj~wDvlZHjHY2xRDl4%nD6P@_-luabXxv
z^~51SMv(F)XJ=x&vt`X)NE3im;Z?+(igbO%cS65>dNsUp0x>^$e&EkXno|4|V%u1k
z16XhHg&Obfz?=V6KQ%56LJ9Ykc`F<z095Fn8hsd{;<6jm9{%+6AKr`OVJX0EAz6i~
z^>aemn(8DDhP<U409%dj$rfpw7dE2_!o<|nM?A;7E6vkGP&CkgI<tU+f3CLk@}tYQ
zK(|v-QQ6wany?~QC@MUfw{Jf#d%$$j`jYo;ZT7X--tI13qk&RzfVKM7%dbYhc7DeY
z$Z7lRQ#inyzZNIDMH4VHym<dU{fQ{;ZnofniI-1d^u^aKLf!}fn24x8(^mBQ^W;qS
zAO>CpV+Z*R9U;5XSkpstXdn39Bf8v(27pcj`~5Oy)mN<(f*G1;g4<t65J;6D*nWJS
ziTa)Rq2{LibUve70y$FmJvU>5HVXR_Umbf*5}x%$|2wAYOR~lwYP6od5uwpR#zgn)
zOH%iH_=6S`L$9iBCy>McfB-uT7e)#5*v%m$ZcSEH>;%RPM+J(}8OK6$bJ@Toad81*
z@m~CP*7Z-FOziBpU%z&7aiwCy?Q#GW4{aBUnnB7T<Q?PFx=}Bf3Jwl3fi-@A7(p^k
zrh&F3(7gV%x}~A<ZYr~BPvJgb-1hi)Ul^)y!32OTHl*C=vvudgL+k1;N8?{e${A)+
z2zD}`TYt0FQSR@mPifmeFIpn_8DIWJ{pB_<@Ic~{B+#(t?f7~j?!CeTvh6$jTu6sV
z9u@9#9*PQb9&J7D@clzEO(*;2%WL%wNBezg4>Cx9jn-ut2i2T&KKBa(vn)K0^@-Rf
zX$dgKGBPmReW0@3W(3|(OgDzJ#xVChFlAUB-Xh{TGlWm*y0(~Zx=6bVoW-V6(yzV`
zB{&JU?Yj`PnO!sU7Y$Vdc$AA=FxBQ){%IL>uDX3t_r}5Bvq^X$;fS1Um9A>L_lyYJ
zmpeke53{`h^Jx8`<14!5hF=MV`{ER#8u|3}^t!X^+0WQ#p-e>j{R|{w_s_Esz?k8X
z>`ar_mAJPwf;g~uIPMY7z2u-&#d+rmS??W&rLi30XMmiBYHIEnFg?0_7-|A^8C)s-
zh6WxmhzxB?Y2}?lY-1B4XG`e4UQQ!I4tm@ObKl#yH}lNiVuWtevyixl0#y&h0lm5^
zbn+~VsCJ5smD=|0cDug_{e=fQ*FXZu1!7(xfk18d#ayVoK&cnK?wa_!im@2tNoXmt
z79tZ^iLVov0JP4m6n~eNqQk?XBt4Jy6I=uS9sH@VPvC%-zQyK8O$Mi81@2u_^FQpX
z)h|u)scnYzVyLP=oqOIi^6CF+0nW2@wQ7w(>VLz{ZF0dAryhO<<X8~EdeBH$7W@a?
zl<xjnGjpdgV0b41CJnfmP%>!?F;XXhxA-C}Ufv5l=$=>gKe9sBW)X6WWQJO1`IG=-
zzqV7s13Fx1ayQFZi<{j<jMZHI6#Yb^uO=h!cDh+C1L+WU$(7KeV)}>t2_rpN7B-qf
z8@h&vtrd%B1>|V|A5Y&Mk9FU_eaeW;P*Fl=NwP<TWM&jeLiR|JQAV;_MnsaVN_LVm
zvO@M=Wy@ZnD3Y0Yj`O--zsFzq>#pm%aDKm^&-;B$Db?|9`C1&0`<R%-&Lw46nqvXS
zKlg2E9X~gIJt<{*8J?HMAZ7vYKCp}5_{<&E@Ml8jnB6k6_RO|SUZ^(DZ42ako<X2!
zm}T=S=v>~ZqKnWIfhbX$(;GabZgL=v5O%Am2sFz9CK-GkJy7H&gYjf>B=4;ZYKwOM
zUIiNoR2tYLkj|VZxqYNwo}S7oDmh%|an51@MEBbTttW<pD~pR%G&CvpCnO~Db8;d~
z(o~bd>l0U-KYtt?9f?&s5qgFras(j#_<WUF&>Dw{1O4@&!cy!v0uEd^=g@ql8W|UN
z<|P{>2gpR3owd&sA5zpeFnB_5aHLte=)2$izWHb)N0gX0_~C3v4K9gu4S59RWBg8V
z#A2(ms_T2><h@)8`3>W~qy7=;4>s>lxysDyWT(>hClsW<(m6rXn?oyGZ$`rJf0<Q1
zsx~9SIXkt0VW7J0&OPB1UTxPUzj7pOQE#sv@ztn4Ztr}9OeHagl!o*Whto)4ZKSZo
z4&b(6J`%jXX8_48pY(dCt$y*ziv=!6eyOa5v!fuMO^aQ52Q)gahy!N>Q`-eUJ`tX8
z76N=%IOIM+jAQDurCg6Wxv_alCwihX+(LX}vECpD)k*RR+pq+`H7(odHS^>3Y4Z2?
zH@;r{z;RRtnrmsHaMTS)HZn62)D9T!Aq=tvI|ff5Tz6!|p1*r{VlPqlY$C5nBStXC
zrF-JV&oJpypI_^f$E4Is-S?I5S^MSD0#r)%(S94&L30^$D`6He1)j|8W#s>Me>QXz
zgZ7O0J?oMPN=PhEge&k>p12-n&LZx%LQE*-<+Z`}Hc>}wu3~)(#swS{=&;3?ECRmp
zT3`sq-Ca;v2>SujLCEk$PM%YIMJdr4Iwr_eQg+;e7(lxd%m^l6fv7ha&XCmnAJOv<
z(hTrf7);LzM8OfYHF3S;Uu2=+1)<#UNjql~N>!dQL}_wG(1`FnxKL`ianuy@H{6?e
zs{iZMdAw`q>3T%;cBW}Vf=O(4LL2aYRvdbm{#$V9C7wISJOxl}_ihXOOO2H-`KJQ(
z%Sd}q&h`*U1MBE(zlQLX(~&hEg3S_%3dgAGi14sG{Bj=1z$4}4V<@bt(A{-`$yY8I
z^9T54#*sX`y)Q488-5E{J0nuS8waoT$O!XSYterQe85YcueE^~9?%Et3|TR1p)BB<
z{#H{duk{(0@E`Qz#;PxrPZ6k;h=Sy-H*Yq+3$s7BDJ#gNH{&A^f=}d*=XSrprZ0mt
z(Y4qcR3^kA0B?cnJQJ|@!wyMo8IgJY=FL~Y>Z3=@AT$$-mXeUjF}SZB%sQju=;Wku
z>$f$!XX4_T(hgr5o0t#-jnc7<nHd83q@=3vSvq>35C{Q(Y!JD}nKKVnlMmenp%bg+
zjtmz(Z$M6Addx2HoU746ZWtoHki~)lI3z^V#N_#zR79o%QHH$GGH)8EI~+>tb{#`Q
zW$)fW(R2ApD3QOzpynrYq_x|xI5k(I;k;dxnA($d;?AFCfPGkUiN^m->V6s5Nr~OI
z+7CZQe6<yg4c+shZ-+Ty(pBcxeJtb}bvtgK6)dTIPR><tLj;N`e!shU<3rgqeWsI7
zALMH~P6o!dNI#_|==u^EI38tX=2-u`G)wK@LMNs+7JSQY;wkA6tUL~y;=cxqBbh1$
z5B<9I<T$*T4IxoX74L5Q;)(?H(d!_2JT55Ej=PKc1nHCC3q3;2d-uvORFI;q@x+m0
z4Q!FBFc*Lb{<Y2UWh;hd*P%z4w@oSka|Vrg{m9xHfpEwbPJ``7(X}|;UH;vWT(UPm
zeK5D_jjO-*e|kd}?|AT9n32_vY~9|u5uR<(Ru#@4VKzjJE4cF~9Yux!0kc>>A36M$
zL;B)wF9zI<@@u1{=;`L!d$u*Oa0lT{T(*Ujd-`|y30V#vJjNJ|rUq=T;5R8)FJ8nZ
zs;`d^Z*5}(=@Xzqu$W?t!!CnhSJ+>1Zle+~_v0(1jl+FLMTOF*^O@aHK8tJPS|;j0
zg1%yAfh`G(t*wnsM)&u+x;nhyxywo$r=JuWo(gI0-{5XE{&#GbBcBs(MB-6Xyoh+I
zt=ZL5_4-5C5AMR%ixbEgC^&{Bz(gpZla1JoggI2GNBy2E+5nFJM4gA%&FA~x!;a)W
z2OCNJHQyM(uT}Bv_YTE3!c~@hUj!6F9T1p>`L02L$d^i-f!rVF`s(EDEmOe|*>dk?
zlehhM6ZAe{6cDHP&?+eV`{I1|vE7)q4VoXRP5_X?`9=u+eY!~MkLq(lB}bos`2T(u
zO@u*rZT4r-wlxmRz}S1b_;gkCuMN}&Q9WZ(zevns5|dobhaywp*s-jP45|u@!wBFl
zK;6Yf56c*~rTT=CxA_O?eM9T$;HnMZFY!Go@ZiU{ZnWC3&NIXRgAz-0t91bMhRPN4
zDnr97H#C1+rr3Y2uI2`~fcYL8CiFgLWjQ_;+N<4({r5044p2ikdy22km6aCQfEa@(
zL26?NGMK$*ef)uv2wvY}lQv<k|GdU3kUB<nSYZ{!p~k>a5s;3L-rCkSuGQA^ft_SL
z-aUS;7+}*-2qAl>q4HSwd!)r+c*N<7Qf+A&8SR&H#pos#6Jx5t(=9l02s2UR)3-{A
zoNrn%;~sC!iPYZCb^VBG{=+3gi>-y`UQH(R<}<dF4Rd}t_pz7NJ|jUvhyGz^e49Yj
zaKWEeSU<YMn4l#Pg@4RYH84_ERdg6tv}R@;F0(v)gYZTl_jh3(W{V~xUcwE}H61hO
z^C#|(9ag!(B)>%)-YQd)eKwH0xZ(VvR7#s=mY?^j4%uB?zCvQ|#cVKiUx;>dkipsF
zqMzR30^TayA8Tg=O2r$Cg0wfrlCHgXLaH7+3ia~(Hxqc*dW)+n7<XUafA7fdqKSjg
z1su1Ku|#a1FYZNWJ%Cyw?<uxtsOC0_zoDQnfMw~6r-@u^IW1#}kqLD`PNF)=VSUoQ
z&-VL0MyEUBJU3^a1XtQ&Sd})f;<BUT@!x%oZlZ$SlW%Fgm7>Z)(hrI>zR1}x#tVbv
zOU*uk7Fq<~R{!BEfOy3(6*-N_12O{U)c@Ab{bx%CmP;(vu<5~6gOwDEyA&jv&z=Di
z1a%X21~A56X670reymVupG%AI@T4GI8UIvCi7_X`!ulpSQmo+cvtygBt*=Kx(Z|HZ
zLpTg_b2~;x5-eDbhEyHmbNV8#t(V{TJgZrAct2P48&6no0xTN-ocHqDI7ildYIM;P
znshWI;!XunkZk|eRql9XBWlzp;uHn<9>0`p4gUICq194y&-<B<6W(rQ%qq3DwY1Lu
zd4_GIMq7+W9$IcUPcJpb*SMaE(AwQ0uFZFvH30SxlPlcy5>0SFx7aQv7n;2CC1Ie-
zb|HUwE#e|Af2^azA%gGqieh^kO^KO!r%#PdP5b%k>*)_k&dt^Fi6L-ibwwD|4LCSh
z>RC4jp*)723&8>k!>c3)Ej1mD3+^g6_N~0E+Ijm+Y9*dpe(l@~Gz)BC^Ou*gQQ4s%
z@mVwYlXus{9jd-n$H+6TSTgsHPwU^bhqI&<Ja3}9LGR<Y63m`*rq0gU5az-X-`Hqz
zn&hoHIe&l!9#|j)0I48=1jNz#<%`AnO3RT#n4g4&v*9<&x@N<q>8Q#T5qeM-<xRGB
zc1%=}W%J5R2#0_Q39}DAC1huT&Mz%}uD<^n!$noZ3KcA&BO5Xu74L;UVM@I}AxW?C
zEZ}O$O-<dvG>c&cJ%Yr>hM5^@n<i$x(q|SiNSxDjs)l;6qZ+l~oj;cOB9B02#hG_5
zUYG_&RSk9>!a3!luJZqA>37o4=ax?YOE8sO)JgvGI4!HNFuHvjxnamLg8m5)4R#*L
z4!NZ642rmCtG2K=B=bf#Hb`KdUh<SPAaK*aNmbI=7`|w{ZV{Hr_S2<Uw5GOJm)T7`
z-2Ug?s!Fe8RsoOc2~P7$#!~DFf%hFsf1fmJ+gXvAc+jIP#N$_BI<;3m;qmkE`)~8E
zoxJS4O(Q2fG3T--?%XyWe(!T{uUZ@{BURNda}(O^AMpsm$;ioZ(HgzA9HPQi_4lao
zx(vjO4(q?C-ZBd?2192>RLT+sM-W{@6!^Xu!IkaE2RAw*)kM5+eS~4kz;8C{%<_Q!
zV26{hs#8smG9f4|Z0r1|u+S2dzssG5>igbpo4<U}H{M-%?M-}pn&YJiJu<?*=r&9<
zZ?dwM4a{4!_6hn;sClm)C1^cT+`J-v=3I|IN7!j>%m`Y7)2>6&-q7J2Tq=Av73x_J
z08`-YgE9v=u;hPVXfAv8iWABO(JDy(fIg#tL_kOgU@roN#kHA^5Lruc?L5*o7`1xt
zw(NRR+O1&s<E#ep?M(EHm_p5FPL6JtL2p-=$%mp|2AEB^mwU~QIX)01_s978>Xq-7
z0d`PcB2a+Eo9^YT={l8Z*-~l0hLU8D!>I(i^Jz8YWMrsTz(|qT5B_P;tOfiN&k~Gm
z&4ovgdVLWe^3&IR$VjsA`!`pb#^@%!%)3iK*TCMBiL)0s))~pu)3??oCnOq+nHRq;
zxIQ}ALNSnnA8-qW6+8Bi$hq{CJ+@e=rgAvpKc1(s|Jw_X;aJ#Csvb~dyk`w)1pbax
z$ZOZo6b1_=%skxP@$i*8NX8?v?O!=*%Ql_KLO13|FBqqGI@RYJ%>&{<nccBHV_`*k
z{R^x%YeKPjfnD6(y0K54xqUY3<%kXJ+r)+(A+?cv)0q($-cDLE^$?!bPav!uP7FlH
zB_t?3ep)-RsIGpe-{D#F6h;$VPvG214<^(c0`$nZta+H3V&_gVn#gC*>b{?a>gE>F
zVEF2=05UY;3dJ;pl^9#4!LG-OoY+XP2OAhn67N)<=kSb-FRf$5nXE<t9TYjl#vJBi
zGF0g3j3XfjN%~lqp1wAN5DxeTz&zzaDAKILA;ML&zGztpnL9cmfnQP-m;JN9a)r~(
zF*b}w5y*H=ZsOCw`zf0#!q^h_l(7U5|4=9>WgmVja3bK2AYQq2uRb#p$a|jvLG`8=
ze&YUqV)E2^ox2wsc+WGd1h70S-la^K5QPz#N{3J)3IjF99WWp5;eL0Hg};c(prpAM
z?fxo*srn!!>FvJt(NuP%_mlsLa6>`%wA;!<;0d*J=TXBv!jDfo2`@-Yh0ZnT_6B@4
zc>9<A?^&yX3FoI=nT&*YzxR!g(6H`bT=y1DKV5e*rEPkTyjYk5Re%NR;Vua5NoYsm
zJuW9=i=7C8n!j(j)`LZL=cs;0;@h`KBWi-L8SqjE_qCsBKACR&XRMPzWS6S<KTLXg
z`)4t1i)*v*N2k1cMB`pbSuXE;eZ?QUW$Ok*^c}D@gzkz9d)~ygUB}J<`>MLgEwDu$
z;{?F4NCpH*<g|Hz`=mqJ?eLYicO?Lgok~+skGbmohdk0m<JQ{3ManDQzZb}jM&HCQ
zPTJ1tbi*T70(R&_e<m(w9RyP~H9^7#wi<^Ebi0t2;?Bdv1j->iI2aCmWb*x*orR<n
zg-Fj7IbR)q<2S!kb9az8--RY^KBoQ{^=rzM)^6`foMz1GY>t|eL11WR2G`<wGqY_q
zK8cOfo#NMYp-DnuvZiLp)N>suySf!JDl1Q+?#&l2P+)<7uc`j3)KXrrJaxC@MAwHM
ziu(FppjG8J7pg-;X+-S=n0Eo_L;0seY)(^}zR|y)KABS}o53ZK`QH7;4elFPG18<g
zA*n-V`*hf~r<h8yV@yk$*LKDz5<as&j=6WKz|z-OmX?4e{TVfiIJEdWvm)Exm{D-E
z_uq8a+)3rlJoEkDoBmCJk^tt2O~eQTKd++lU}`r}XN~_G=Fa~D8KT2D6nwY0{$UGG
zNur<Cp;6K7`{;HJLi6mMpL`f!PJb;l<~O&IdscR@sqPt!7ZC2_;QYSqg<YM9$v^4c
z;&)X!bN7-Ds-iy3x$ORz?5Db$z#gvF!#HgXbO_iX%|8mI!_4S)mi(c~$pB`ZPTw@5
zegd_N`)Mc)ekIx)C7wf=H8j4<BQbwWLBuL0Qc_VNDNY7ancGI%JX8OrT5Rax`$C4<
zmn-;`ap;1m;)|@Ut81Ea{a-N?oRhBmVP}bYRTp;f2YPs*CmJ5U?&QRQm^jf`0G;54
zA-PZump7{&a*%{Yn2Gf`C+92N^hvLw!!^6gwcFSsCe2=wm(CxH^Y%CUAj7TTel1za
z-ykF-ST&>0NI>^Depg*rAL4mr*x|dpb!+{?@I@ZqU#`WaSy|eLnRD0sl?mK>&!Pyb
zr3@}Y3$?CfmBR_;e?_I=*%Z}JJzT_*oFI2gRHV@UXC_`;CMC{SE@_M$bEoy#?|XZH
z+O=c<aqoMbQ?G6r`qBT)Zt(NlFp%3+U~8@~FC<Zn+1E32Pvj1vLRk7)xLpBPG7ZRI
ze)_Qi9s-_2sHQFWZMMc9i#tk=gwVtm?VDL9sTPixa)RdPV0<i{IYc8!$LIIqJ3CFX
zy6j9r_+L_@b2}++==$zDRAK>b{{zQ!>up+1K8vsF>dJ@T)fOo0ODYNOh30L-&p>Vz
zT7|<8Pdsby%75W_Q1Hw59N9etXg4lmUcV$*SzkYm;XN!Uh>(5dOA@s5W*r}dR@T}X
z`(E70%XF$QmrQ&^1%oldiSKC@J#Mly2)=S)l~9pKoh3G=yrZ;m2d`Vh`|Df4W}r}n
z*AVKqhF1|5F_=4M0dHH^_ZekL;>eefh`R3plJ{{y2P1~$r{cj(Tn6`X-0!%9mLo|i
zsmOj>z2x|oT4hyLoV_--wvhFrgb<4$x_9Y*{vkRjA4cPJ(2lQ!+5r1LUd5gQn^(U+
z&aI2O8t`oNb#^XIHbxR^EJcp`lOTn&q=_HR3Wm56hCL@9!K^BTTD_a={r0D@-{ELH
zAtO_Ugk%UGl18U?#O-tokw1299*HDCkc$vV(pa}|Sup2}H0R?4#)Ni$s}tif;tqY;
z3QJ!R)gYw4(8RgbxN)QWNp!iav3&KDH+-e#^n|{IJ$IA|d2NC1e)mRns&yas{;Vo>
zvAfp3uV=K_QT@214}_Jh0q`Dm9AKCU3p3q(`M_%32cP?ON5{(r4y*)#fW&AHz4z~+
z3psK`qoMv{CbS)79ORM;4`Z)I0CvE?g8pan+D`aWP;bDqCn_a>?E8Ywhd&o=e`sEE
zQ)+O{>(|m{-mODJQLT7lFX3TQknt;EyX)eh!I~=kc^*d`=NdCX+<BHk9;*%{ADP`o
z&$4X(Dj>S!sY^b@mZ%o``4c4r(to>C?9{_p85qpP9);HkMJh{yNqWL7hipPBCcgiP
zv><fs=q#XV1aJjr0--S6Q?1a+0DZKNLn<)<%^Rq3Lw&;3h`5+o<X|cQpWg0nRE3~&
zB;&GRnQ8ksR^vBjYowjQlUvzpR<bP)_ZoZ=9=Lng1D-<=gUu{^AwWd;DFhx8SGz7;
zi_7YqRc|-oiv+=omYiI_XiQ|!#qMA-<k4+`lrpnBPK&R3z|#JX`gKYvvw9Z|=kVq|
zkQ2%tI%EM_wm2$kwbZXtK<$X+$-5#X1kO>?iu2S$=gJ!-<2h>o>`S~F5YO$dKp%L+
zRa(X34B1Ml|5~(5DS_Hl?KZt?7#l0(n9rW^F$N16E&od(P>Guxn{{lO<<nBse-?>v
zU4_vAXftg^GdXu@q8Mi$8zz=W5LM8q`F~s?@p$h<>W{tSox~K8dD@kD_$t_Hq*wpJ
z{ao}f=GNbwrA$mg;J8qC{sfYRU}Z-1s<5$bs(llM$^&o(0&cea62{~C59O=x5{+A&
zlkCbr#T5bYm%x&!TqO0uD`hWnzDAiB@G~=S?^4J=Q7OEE@6Az1cuu?iLxgjVnhg`<
zjl}M16cA;kzvLnvx^t7+lJ2}?L{QK0y-?Ah2SrW+k2>Yg-+3obP=^~wON$Kn2SA>D
zXp3N2o(KNdUhN~cxIOp6!<^Y>YkMTG%sQ`Rw#-4`km7zS34hO^sr1)<%jeeLc)aqE
zEX`woIVH&UEN|cE^STddNyZe9+)-58b^o!ThNNSp_HmR8{cZad&acH+63@V}=hwI8
zi=tw(j&{@QatW*HgVOs%DrZ<L3X(m24q*P9cmG>Wuh1gDGgb@PjPTJx97{`auX!qW
zVBWP@?!<|>*`87N6391EH5h!+=rA*Sv+xTA2Y~4v+%QfN2swmVkU+JyL?tt=vdD$;
z9yb(Z?cXLH`f90Iy?w9A-^(wfqNK#^vWt?X=VI_ci0952$3I>^wzhnB$*!9Ql(e+}
zh+&fA;*bIz+pB4A&Y2Ov0g_+(McWU%iHK_fr+1xr<mq-)e&fqJj@&oh-!W%sy>exa
zDC$#B)nok1!pyAfZ6~fB2n}|fT)op%JRJc3I;<SNE4@A5-g@X5p<(KGoz7BJ``Eg%
z$Zf{MyL6=7pN=-Rn~QVv@u~iIit_XF!dim}gK;&!{>l0SIb(zrE{ApMjwH1exg)#c
zIV#<bCl);mqpqZHSM>5)C|<I3I9l1{u?UqlBxMmCb27xSvT&eGdZ)`L=I>9{1!Eo#
z)tkV7p<vZqaU&Vf8Zbx*;j~=!033oB)fnt(zkl}cojW-MTmgUo{$(YttA285;InwE
zpuz-o<bNq89S@`Whph^&55%{sc8X(!4GEc8^hA2mbKzw3OIZed)1fkm1Ri%U(MSu!
zjS=695n}EK@4x5c6B82qTMeIu)><AB6r7u#9b5FgnjhEo8NDW0KK}DZ1I>AST$3-d
zf8ITf?dM#79>!g?DtsOoI2zgbtv%uR-Vk(<qFe*gD72S1(*<M4=SkM(ig+wkfF)$^
zdl1uo`^azqUTg?Hlz(=r!SttvMy|>^q<uI`Hyli}|2lgUW04+t#AXsw3=vNVOc#$7
zVpH2!Tzy#^SRQqr<t#B4b7^_<3;9Jz@*}_>HfhU95;|!23r;`DZ_-DllNWleo1Pv4
z*??f}6)a_gU%nig<UT|blIPsZ_4*&-l?Owu#N&s~t6Ur$(ZMdOyq=rqYXU=Go6#f+
z$a(JB+HmUf-~<Sb_m_OswU~}wuE@M{hhF!zAM1FU#ST&p&*k@e&jKele`6}}gQR%Z
z5mS?ZOxHkTXZrr^730#fP7TY<a+$jW$A2&OrwKisg@6hty>EXWQKCH>a~Qly)J4<a
z@Nfl~)2*zMtH&s5Xtd6p0c7hl_F!M1G0^&BW}oDa9n*f_`)jCV6-PXxMKbj9@Sya;
znX8ec92sOt2-VeI<;`47KPr55kCJ@TkHv3vPrp}8F9ik!+}&J!Un2bL!$8egO?iRU
zeBmEt3ju0JTL2P(4BnfTT_1vdxzI(LYcI13+@&}Ab8SL3B%c|m$%)FIS)5$1p8sil
zdo(SAL4N$1<r*lSH3qtUcmIj-)9yNQmG<x(7l)Bg|A1P7`toL%FQqS+oiBK@)2i0S
z@M&=7OEoMpE-s6(am21~e*TQ+frEG;kx|gvdXR<Xb!H|&*rPy^(Q<{+64Fj^DUbO0
z_|kw7e*73m)yP8^0w^E;CrsEV*}}>|kH5gpJyGhJ+MYbFveE<FTHNiNy!Vt^n@4Wg
z$$2X}uw4AIHqC)M<Hd_seg8uY(SauN0x=`=?jV<3UQ|f?G6{cws>P?Np>fDB@+*x_
z`cinv;v_BifxyFyn~p)06-&l5L=y&*!C$Cvy;G|>N$9922hDTU$%()JwaLHJVIxBL
z^y03)yHxJ`??(K>@R|1ff3~GL2MO1~k;87)D<NsRExKcq;jOaqaSEMqbFA-^9weMx
zT$VtCYUVPo)JTZs%yM4Y?;*&R>PyRU+23z4;KA8SX>qnkt<EZRMjsbfANA$hgai_7
z^ZLWsPa0jgU?Um})(in2*T}05{ht;9vQ=-dix|)dTI?lBV^0m|<R!;NwvWJ$iRE()
zeZ5c@Kmd=y5=lp3cMFWN<aTN7W?1<0`4n1o6yOse_D}<y+3uwO9_iBczM?{rYaK?p
zoQ?D_D<ev>9R)mfil*s8(IGD+epp<^y7oW`p$V!rS+K^Sf35p!|LtUZ9QSzZ^P*&2
zO@ft`a&v=Xm8$}R1SfIKkgGgWWkOHFHy;v=!-&JM%r`>*ilN|795GAlI9iZdKmcfm
z8Cy9l^W0&if5do?5L0W($@efbgZe?Y3sjxzsU2{nA!82z159$k7;%GPKY2#yZ1NZV
z3l}1KET<Xx>$?<~DajmCA2P32$JVsvEU<s247G)OQ2kZ~$UHbjL5ma)v`#N!+6BFW
z|E}AKA@ZaCBD56^yuv$Ts>dL-N7$g;ofZlFu)ird!$pc^hIg>^mIq9{9VN>)V~y2X
zK@R&R!DswPh!1;U=+pT+U;Bk~r~0G2T62FVQp{f0{=7ZU8@u+S{15{rpa7Y)!j$SU
zWEdG1IUhQY<Uj_T&J=AyL6o*s5Z@J^g?bv&v6|$CF9{-IHrB;jq5SUx{lj|;i`Tt<
zU9x_ZZF_!iGLXgVrz7R-*L(~j3gR&`T67K&3ne{$Ii{C}au_9{G5<L~9~I)Fv3LCR
zXW5{k`p+F5zhMSJ4*s*KD3Kdq&}4yhVE89TFsffPaj9L~sV5M17H&IeQ@+Q?|Jts&
z5!GnTh;!>+45MtW$>EB77fCAOoMtdHJ-y-z)(y<LH$VVK$9b3#&!nC?d)Dr^Zyi70
z+><BEa&v#TbBvblVb~RLP*3vx35zIgPxFIpLT^iH=#Sr7`|~#YO!)2LyYKS%R2-yM
z>pC7#<GeYqI=D>&%~xD>bp6C)U!GTVb80WKAwnrpT}NjxB^j7w+$eA(gLVRp#LEl)
z53XNm#IlexV*KOg35`qa_bNXR55N0z1(G{#FF0FpgWwZJwlu%%yhGdj@mdoj*jG*8
zOR>-lKj^Ko%;}uHS#09)o@_BoESyQ!sXg7VNj4|Ee&RA(OxZj3-HAya&V&boD7>nw
zA9G$4G&jV~(ACA9R%iBZc`;*8w8f1>S7~2h+I$YJ#9AQBQR>LepFs)H4h-z<zB>DW
z>YiHYI)By&SjfN`3Im_}>DLu?Y2Bkv_tM3awqBkQIdtTRJ+wxE8^9Cv<=LIZTltIA
zc|$7c=|rwWP2j8Bgl(As)q7*>(+TA(U$2pPyD%I*UcX2|`1CiBB!>CX4ChQq;xDDm
zD~sb{57wroaIA{$e-s*$QChkQv7gnn5N;2T>Hu1gL6<-e*3;v81z}@VmIjX|zDlyt
z;J0d-BMmGo*^WORrpq#HV>Jmn<{R85VoWGl7nUH<^e>FDzg>?buAUbJx|38sS+=*c
zr@8b>Gg2SXY)~f8Ioo~PX>REEy0=~v>dD%Tr4Q|)E8`WR;M!3<^fMrUBC@e&ViDuT
zlq)nh61SarwlshZ_x9qrc$fqRA6V1*e*?2Oa}PYh?*Yy95M{Z1I(XM0^Q6l-nRX{=
zImnN%h$C14rvejoF;qAyDfdlEa9^;naK86QJQss5Rf9~NAYFhHqt2kV?09tZ|77nE
zl*Rzh^$+VrH@nSzKICc-#Fnef4YIx1j%cR(E8?Q<#r2-k)6;6-k9yJQDdc#(U0uba
z6Zh<y>Kjg&)u4RNH^TATXbm{6RQTHVlcrdxKR`!Ju18GaHz=<CcYQsAQl(_*df|XZ
zvD=d*#h)(+=JDLlt;x7X79%t#?=Dk?5anKQKgjU)J%9f~Z>T`_>0Kh>=l{jhT)iuz
zH1$-J@ak~WygO5-Iwu2mbG)$Z($1qvAwnAoK4y=5o&v^UeG(fdR{qW2Wz)LAp&#GX
z`v%rjUlBQHUiqQG;ZyrmbTbvw^N+1nTk@z?jMZ#KdX8!8&+dj&J=|||VxNKwkTklm
zJpZAnp()p_OL=K%HZl+x-XK*9C=)UCVe0V>>HTyAU;w43VFAO%Z(LfmKKlxoEpH@F
zpwqzR#0$-5f~?zy`1K>)NC|;^*e>yw4$RZh(zdp=fE|DYxc#i!-S^`6ZXd7zcoHGW
z#H7v5Y`_}$k}r^F@<2H^_^(fy-V49&Tt=p1_EQH_ew6&MoLENx!%s1B?@7MT{?);n
zqKj*8$?`AvKGF_1AB&uk;&ux)$i6r=ew^cUdgtzNs+^EDZ+R8nmcapQ(HGJ#cavU2
zQ;h9RPaqqRJ9uFnw*bKf1g?JX%D^B3Zw7PwA%iQIFTX&6kA?=()dKMI=FB<VC<X>S
zYcC@bPA_uxITYXv945A0C%Y3=fw@LmTGU<$iFsT<(eEJX{^7XJ&ht!8PupiM)3@U{
zZk1ss?K4o8?2MKj*gr2;KcCn!4Yj*`G?UXrZ71jNsoSHvhR=hINa5ySB^OR$@JKm#
zm`6wwA!|`*imyn9jfmp{1aMo5*IQvg;g1T5iRn7ejyvYg&KQgZ!Ct~F01gjN8XN{t
zuWt^Cm-_B|ntmfVp@`)D_1dpamm$}5gQoJrh3?#oflRe>ae+CyjfuYk8pXI_@zdkd
zH8_iI+}$K|_|A|795*oka&KU29>Z?`HWF{h#3YD1kqr>+wfn-~^kVC!9aY?8aC!dk
z=f7unC?dNVN?lwVCPEjHxq?U2+IkY{$~dymxHb^bnae6>JBaF}xrbNpLroiP>IJ!Z
zYwUg5<EpM?6j?<-v}a0O2E0p)9IQ2CSynHH^_g#uIeJ670u#iE<2r}x<XEoVgXc(Z
zGb=gSic5BKX&vhV9yECFkhJ6Z!FxQSyjFha6N+hPX@vCKZ>R_ufo#rI*aQDKNHZ1|
zL;U=@x|PGl$i35j6VuGILNBt85E$&Bb!XSPq}jsIo6w<kl#2@&MD>&_`G4$N<Oi=4
zw*UY}^2aVAL!8ej$WZX5l+#PZy&wn^-B{}|RD>(rEP9qAKJ!*r2?liD{zm*6q!I2V
zC!raYm){EIpQVl5s{LSR#iBM7XMSmJQK7BtB2R{A$}TRdzgHX_LNVz7CwVR*kPBya
zpK0qH87WUs=NA@!+_=K0Kmvs_nK0i!>hvEPqEh|b7w-seC%9d?@%#XCfKCa6g2R6t
zx^VdglHpQ2o=!O-<{k1MvSy_I7U+a^5fq<JJ1b~iK0u%(ySwM8L3a8oG*|E=dCU7D
zrEa=V(hCp9*ZgZ9^Ize)hMGY~rwvYt>m~D&Ph18^Mu_7wJfoTXM!UK1`RwQMwi5Is
zt9K%|OlVCQznx_m6r0g!dKVE=w~<X}#@tta*k7FxNL|CJapnxM(TV(uIF$O%&cawl
zuea$N8X|IuZQtGSUmSZ>cqS)~_r9vXe|FWvi}7WNo98VD;cqEpNg0NVbdUhWym+DQ
zEi!?H1!uN`-<CIVx5djam}^6w!?tq4^0!aXb;&KSV>=A#m?8+bj;wuR_A2vzt4tQ(
z+SA`Z>skzFYki?&RaKQbmyyl+>61>61k1;4X1<Pzqz_*R`#W462MI?7;eMvebgkjv
zV`too96yDh4thYTt2Ckw_Znm3gOi1J7dMmbKZ1xzPCkuTPhv(OggcPm;|tdo+Pzeh
z;kDM%(ZOzV{mK=B;@2qL)L6m+1fUIMW_bgH6?_gDNxrf9%GZXVW*hKGrTNU<+@BR?
zc+exh3bOMupq#4kr^NT3;9B<*pSNEn91cH>LlCXuh(vHNoN@A(oe;tRKcmZ`3HOrV
ztx4M82|BjFy!&S8L)&~=nlH~}8B&w&81IK>rL3%sM=erwdwlJ<`Qmu3ap84vyP5~-
z)L!q}UX``xub5KRrR|wNg|MWNt(8K%m$w4+TQ6jG15*Hg9GSE*+@wq4?;jW#{i=-q
z0G%|-C$VscOWb^{e(mysC*0m_U&oZr@ADsHJ3{}Kj=<@g0yr3nE6wxn3LnVmO{r9`
zUMe8`SQ%}k{ey=9c~Lbwe_u*E#wjHp&Jy$SVBU86INc`2QPpUx&hrF%;ONUGzYtG-
zK109eGW#1POX<+luX_f7ADlBa{dBckAnls~A-;8`$JnXZ<lUa=vBlJCyY4P>AE`~7
z<Xt(UCb1#yE6J~}zAh?SOA3*T=M7D0aJ&9E$=R+3xe9pG5ylVdB0nELqu1&wHfr~#
zx9U8g)=&%ySX_By7bT^0u?cY8mSzJ^1~kG)6c|FOfG8cC@<0`?-P)a6J^QR!pTyil
zXc)BNR0gr|zoKc7he``cX~;+;pg+ODV6V(HL`b5uUO1mZRS!p~e`}40)dL_IK5-l$
z3Vxq(e86!ENg)9#$3v%mLACL}iTbZ9S`O!cp&+CxFGo*WgF(AtfDB?9M=~UV1>GHn
z%RYzkx7>+4>uhT=f``A2AnF%zNSeJXpFk8`B5)J|S2G(L`hG`E=KL=T^U3<D^8_ns
z)k8!dm$=k1LjWX6JT#!82f!(fqr;K6E<gw4ckF)Y%hIm9l;j27->y@%509^Burm!0
zkP|jV>c+!Yclg&@?%sv%v%|{##`rmju;-$Fn~U}Msd>uRydO>B?(so9QH<1IEFQQH
zP(-xaz#WbvJTa;Ȍr`RRpL=-8+0X6)nARy$6c2<>ClC$2YiE=G?oh%&RRJc0ma
zi5TaK5{3e&k?X=NNa%uy2Tu81*QqAzR+Im>nuS*gNjs^)BeV19@dL#9=H?#BIkj7)
z4q>`mua4f(H3@OMJvagqZ^&chWaVkpQxf-BoX6hmxl9bZ38#;TNsM;-^qB=8XJ@}~
zL|u?jx+{eN2tBmSkdp<!RnpbRA`M6_U5l0bE@{xCNB^c3w%0M1pl{>=4MpL=Ni=Ts
zs)mqZlo}M?xtnB0-13@;>0dfC_JHaKh1-OJV5!@TJ-*bAA;12~4$X*=yrs~0SPqGG
z%ex?w*^RVE0s^LiT|o5;_7ztmY!xvvF>v0Y)<skS%gv<dP6!++C>pv7amHXT#mFKm
zit6iawuk%fSigbWtKfPQobr>d>nKc_=sbiZ;Epzn=TDU3N}F=cVXCdO1IRV8Hq}@S
zbV-FP!oxbp^nH6n!)O|8tb%aFS*a97TB^}n@ym#R2zOA8@hmM>=do;VPw_sAjP6a3
zZ1;Jiz-p0`R0)F$gJjGVa~ef%^4GWc-~7oU(n?4mJ^hU6W+__zt=mIaeOhzj7727F
zrasHvh{Sq@qPmLm)iFIYrHVoo7M7}%*AZ{M0^X5yeE_@pMDjLd%!U097biy(Gvx|P
zmn^$j7Jikz10?5;T*ekx6qEg1{x5abZ;N1i^j!ieJ2~O{{)C^^=MNAnuIB48e@o}~
z6RlCwFB}cof#+<ez(R+pVB3C4C!^a7ed&EZEq}0+lta}5;&+l^Cp|m(k7gYf-E#l2
zH{mz<DxIEk``oX+bojNBk55@4!QE8O)?v?l=)*X@44mY!V=(S|P&0S}1dDWz^xS!5
z66vHP*objLn=1mJ2s))Nz`Y}P3{|yx{e2f`A1GNMgBm4W+MST616^_8zF$9~%UsL$
zBIdC5MH~l!r!aAj7rw@{`{6^^lq+VuJBrxBt0op9Pt-W`ta^;|0c~TQ!?LDOG||l>
z6b)4?K5RWol+uBw!xM-Mr-+C#-7A$>#IdtS42Z&)MwIVC7|MRNiR@5oN5cqvr5<F^
zB_#)}x@Hfi^Y&e`2@v77LRuZnIa+)$BysiYr;I9J!}M*%9U*+2ErtTN#ov1?8aUs<
z(C^BxF={JX(XjMwENudzF*p3NpD^p4KaZ@=+pQA4&mA007TaE5U{=W*IGs7UwzP-4
z(c;mIqQA#((h@2>)N-sTgkDO1KYxJUvYLbtL{%5CGg0Pp!gONhLW1jC?|sC60VGzQ
zJB&hzzq8ZZD+5jn$X1fu<sn#;8}gWiu9Kl>JIK%X9*(y|9Jd-Nb(4yz`QrjiZ_npn
zMyb+pnXJIoP$fA9G3z2rMxPjqP$mW6A2^c<uRE+7S?Jv^P!k>#QbGRE`?uOM1uIXV
zObH>1FDC4g-o2xH>#J#P6eX*AFXh}G%hR7flbn8U#}Q)u&0>iCanP6GQD<pWuh~>w
z<<FH%SNyndUz@2&P*Bu3=({bjvguQ^cr%I0ob><=Zc2>BA6soFmL4-wk#H=}e=x}O
z`B^+&=TsrY7z{B`spq040nb8CJv$TC0uU1)ua^f7-j9mLfK#-=(PtET^o9#-a}Mt~
zsbVk7V#e(-i-rJX;zG<ES$DbR<`5RXv$V2zqfS;M#vWh$D9KP?K^K^eLjk%ws3E~J
z0V9CE8oU;6D{CW7U40J^DHUDhR*pFX9TUk9b$-cwoFJ|Z!wLowP%8BN<dwJ+IXNq=
zMQ^E_FstlNHwE;e)*x_zJ)A$XQBFK>5kL;=Y7W|wjvH}BYkA3J_kJAuiEIY<`?5Rh
z$;mZV|7du5olw!e9oG3mm1FA<3H2x0T?8#M!jTszDkntcFO3UAatWmD=yb)RnIfhP
z$O$%i)<%bSFNZKB)$Clg9G>VabQ*!BRdL)aSmtTu%x$N!tI8CwQtQ9pJaI7#>&k^?
zY^GLzssFlvId5+t$hWa!dO1iSNKOCkYhQ{VyU8uZAE{2Me0i-p^%MO@VC~xK@R(zt
zpwWj0b77*(oBmz(SEq;<lyRyW2WisdgVr?w$F`j1*eXogoiHD$e;?Z;WAhzm)}Up-
zs)O$>R$bt*h~HYPS9mg2^P$9M__Z)+-ku6|8+9l3M&1O;>i+TFwMtri1=SYb)2HE4
z*gXbK+10C8<#v>N;~j?U0bgJwSSOSPqL65Wg&N@WM-!or=TT|)D-yfN?qUk$<Ka2S
z-2LT?3w(p_mQ3Ddk1q?Mkun%CH>%W=()jK+PYE19&TrF#c1+v@>YeW~;O}1Su*^XP
zt$&JM#FOyQjns38iJVG=Iwa@_1p$x&IeORC{4ZDJZq7U&n8y~2lucWXw%MCcE)Y-^
z05v2wG)v2I88vm`>gTXFQTm?P$y@hV_T)rii-V%?9F8UEoNHn;dVhe9fE>&1#AUEc
z<WoajW?c3J3jf`20AhT(l5+T=oGS(nxdS}M?%bk7B+9MHzP~(XN2klDK(LU^?cfp<
z%lr7z3so}+U+~4El+X@quUWCH4N_2vKC~6%)qUhK38*-8bL{hAq~m9-5<Y$q<6>BE
z&dt5=nohrFJa)40Cgp%8L9wAe?LrXiWf2=)KGRR6M~5phQE8MkV4Y7$7e9rY8`Ptg
zuIKW0_Me;4=O0$3{~dL;GCk2V7}hXW$o3(t=-0{TU00FN{T&Fg@RXUK$a5WjDiL$h
z#aNFY#VU85O*o}r=;+m5wIcah#<pdeJeGJ>U-DF{UQYa?s|9jg*x1Ss#cTvxGd5@~
z)Wy!|rgMj!<SZ-kwk2P;#*qj?T}H&(_?T`+-D2X}xP{3g&4;Wt&*MK$$q2H|udW3G
z1;q#ZE9KLtEf5E8(rlV`V~al+-s~WR9ORf|zg~ejG{4o7kr#{B?mq{qMqg^G0{Ya@
z^}Kn6{hw6Nw(uE(EWCOzRG;>8pBMYieVKG^U>bf9j%`fC4*~-bb&W8u58&YQ^FhA3
zCiJs2sP3_<(tV-BAB$E}R|x4K&lBKnn)(gxX2(}Ab94WUWOdhxnDC>_58;NmUAQQH
z6i>(hA)xX%egS&J<L4-Ofa;0Od-xe(r$#H+^H2NlBNh&`ex6>rzCbrCX<Oe87(Q3q
z<banFR}%|j%!-Sg2PPX_NpLS59jUGNV_)9-AiFrd`b9Pf@)nQ-x#xtUZ*PApy;0S`
znBJ-JyqPDh^?D&#SIP&U^vtEDea}C>v-NP6a;3XnNQi8ocI7))5B$q~edTqGl_!cm
z_h0Mi=m3NJiI|4@XU}DmdjsFNMcB&j^<4-H_r2duN8tEX+oGTH;vM5j>*^)r>_tvx
zt}l<IhSm2zVR+VPrT-+1`c48_N<nsD<_0dHvszjZ)>&!V*)`8<r67VWuOBuVQxnM~
zUy?pO%DB4R5Y-GbGWG{{*DLAwNMkC13AK^sjFxP8Hov7y_g|r|U4)PB1WHOumK!0#
zr*xmH(XF!X@rh7}N9oL4J_6h*US-fjy!@h?N=%RB<mU&x$S&(18WDo!3Y`lOf89n<
zj{B_KiXD)B>?TG=`@`!Gu(1gW3GvBjv3q)-$uhu7i4Pl_z+!vrJq#7tZK1P3J;s3p
z%{M*bC9dsVtYUpshfpEoEQ9~T?9ZfrpPAwObqi5t2}BZBV~UXE3;is3Ap9*^wlE}-
z{o4Bk+BfUNRMgZsw*e+W)H>Z`&*(pN-R_M6a87!X(DmMl629tA)~I9QBw_0wZ>_HY
z{6r^Uj!WUdvFK*x&@@k>U=H7}15%!xJ6;{zOC2$T!mYDs!^_JRCj1VtusD|tO+J61
z1ciXjuKoB1qnlNfrh@AG(tB#xon+c}LDQLym_SH>kY0)>YVw#Q44P|eo_7=xffN9l
zz>_X=|MqI_^|b-obLzY2!u@<h9_`Fo9Bp_<w&PCcZ0V7a^Z&R^qCzA_UVSPneD^L4
z%y;d0N{WbOI)4QyPEeok8d!D938i^V0jAdc<0F3T8YZNV_Xi&fAAORptEUIXHenDh
z=V|Z38~4^EJmuJz=y-o!l27m}NS3ZAzdJCGwi51n5$v@3moNLQ#^YAgU8dE^AOEyU
zVh$UjNud@IN*y7VGqK-jMzI&jCB1`;KCR0iDL!{m<uF8;(mgU|B4}k_Ch<q|8^N!*
zM=kMkEQ?>+-oo;*_jD6KRSsuW-}^xrMdQ|r@G*Hbcm!6v{8jPXDu{TX7hy-bBBt5}
z_c&?M^@3mdy)6|?2}wm1LQ?7p^hr4+&c!bOG}oH*i+m+FZL(#uGuhf5l&;Zx$_*3U
z%X59F+(qp>QlgGtY<nSlk%tkLk^nTr3z*V<9AApvfM`iiM7@P?>G-L`%pZrY*GVaN
z5`)D{hWH}w5$umq1IZzF*TRwY`5zp**L{4ytXeB(3ITzKL>2x9)WNq*$Y<Yu>FYz-
zQ@w{CLTLi4E8p!G-;K8r7gZa}Bh6BNEsB^`3S5~$989iK*OLbsWFGXpM@&aTP1rfN
zk)-aTU#^pUcj`~u9~>UM^L;On5)qrhiig_P6Z1Q*w|Fh(>>pSHR%hhjS?_dE^mDp$
zSn(-WGWV!^tWOa84;4yy&-%*thn0%Y)EW9slyW$du$+vdSSas(N9lW4Yt4sAxJG+H
zK=*cim~m>*P_~q&2yo8c|IZepDu`x}i;Cuc`s9m<0&8)z4X$sg69wzlTuk?xY2%rA
zrU(8$#qcF|du0yf(|AH~XedY{XnU?`W!p(aH`x*lr2|}dGlfo4UNHs_?wGQJo%Qrz
z)#jO7M;NGe^#Z@|<xq<24%6OAVj%Ec=7xdFJONH;A|d1;`J||BdI>{&d!L~`52JRR
z_z{GWW@H4<s9F~*CB}%_oB@ge?^<7Ls(J?_cP3^*trsUQa54bRM0!N{V@{|0N)`aH
z_4GQ5mqj2}KPn&qK@MJR9L_vn0_``*UnM6`AS+|?4YD}3_^i6#Ly-ge6!Db+OwG*N
zfxNZEGC_4#NQ7d{^No<;2m$oTw{M}e?RXy|{`REzny`v4oOdZ6Lo%Pcx|H9Zd6*=p
zB+kRwXsCxF<<F(V1IZL=fk}1jLwyNc@}|E%Q0#$-1DE}gxBI%fQodZl)(H6f0k^+M
zH*<rASFZv*=6EVli<o9lRM4SKm*bKOnXqee-wqbB;L$-ZHal_{tb&x))WGgB?!@gj
zee(o}wo+(rK|nt5YKdhGjE=Ur%0`eLqP%d5$G`JI5CPToKkxQaJW>Te85uSDmx1}g
z99dUka#`6)85tCc!Iw6{Or6ULl5c5!((GXpQg`#7wNEo0d09V!ZVL~>yB8AQ8O#on
z`18N#NJZhPEA${gw+X~}gX72jBZ^quvk9yfZMOs`*W5C&)xUXT`P{_s-w!j)vu>l-
zc3W141%%n0Y?*V;jAm^2Tkkxe-uKQZ|9kIA3!E5qVK*=|Qur%#S)^^?NyUlm^s^$W
z__0^(J=39G(Fa0A4=oxk`>+x`t*<;H*X|^0CWW1Hf6;zRy_e*i%j)NOU_cYYPhBW$
zw2A9$!OX7z(*jW4j>jvGJj$mNE@n1#?^|lq|GH#1dBbl2{d~Bee2To5{;Oa4yN)~+
z{X<tJeV?EZBM1<7zwB-%CMFIJ_;9z<CC!(o&ox@)R=IqwheoK=DuVG23H3vr#E&00
z5R6oWh0Crb=9DgTqb;{jDfUl(y;q^Jsbcy5uphx;tE5x~2nT4o#_pG6TQ5XoYb{aR
zhC@<DMusWk782(W2=-$cs)W#R|1V{O*9(D^!Jqe^j~{=NeOfTG5vh&HzlAOd1*!FI
zCqGIrta~dcl)IdG9!?%!Z=7vjsoc?e@(kz3plW)j%MO<M2da>kOg!3u)Z{Xf#!Sn+
zpk-P1`bWwUW(3fjNY>|EIGXT2I%imBGH8<bw68M8n8gv2TQ9Y(_Dvr6utTs=)zowt
zdgtwY+GxAK*|&PUN#j)A-6cy1XA!oJhz>+s8X~_6LZ|3v$fP#cmnJ4A93=;^O}Nj0
zy<qa=@VkS<^1QrL7&O9xCqb$Lmq_bopQhX4?y>n_i-TE3E<YPi(O(;L<`NaP6g*3<
zq6^+fYlVOI`-x+1Vp)C-6oiL4nJ<o56EbsDkW!9Th&CeJ(XT30_iNwizwOa*C#z2G
z<ffbxCZ5g*jl3B4?OW|6&!$p({+9rjd*1yvDj|v!*!!)9g=Gw}m11_XYN~)R<C=IJ
zOt4i|O14(TCO^@{jlP}hbSk>Ytw94T@W-@S+`HlKW@IbzCaHS7e0=!pFO6sU;?jak
z0@7wNEJZhWfBvkftFNj`!E|>7*<pHmN~XWDB6KzJCD78*y_EHMr^pF0Fs^j)4zNVv
z1QLq=flS>0bW3e7PY!T9gEd`+UT9Lu6%}M5O-IhB3D>T+k)&-U;%KUOBY{_?rhaCK
z;P5v7+ZS4$#B*9HiGsI1QS%xW5)u*?)^jyqnG~Q#Jm_{jWuR%H7U5$bTg_AI_=ano
z%F%+_Tv>wW_|E@Q>9Nb;-}~`F&M)=>zvjVAvro@i>YettP52#RWMgabbjR<eu?TQK
z^icAsr^cnRq?|m}QO<pYZA-MPpz;cZ{|{TM`4^*03q7lz?w!u8e-`yd)!xT>rn)()
zf4jY=K4KZ;h%-k^&UW|JafLXDDwZfS<TM3rn1Tp(QB{9izu@9AFsL(hU<~F_P%ul?
zYmF6~M#qehfPmLxX2c`3PF?mm<_9ROIO*_zn}{wp5%|bmZnV6RUCn&|>CLqthMVGB
zH_3gYMND?|PSwTBE_?}p<zG^EbyvZP`FtS(uf$y{c8KSG9|@{sIjy{d($l#pJD&w4
zVq?@r98b&aW3PF}-P(8>>a(SV8Y?OVW^R5I+hvZ60yM(>zo4bm0K+*JmL1_$ZK5+@
zvx^yqNFl7Fms?O&R<41}2qT3qNF>>rq{B_^XXT}(S$6wN{W>)~`;*G{z*Y|Vj}>X6
z_8X8Vuyd4S*`}QtWHQKf0|Cqx(U!7A7A)UGRCJhT8JvA7*FSrcn2U2uFqQ=oGk8z{
zCxiEgP%}YD4AEm99hSl@F`mW`lUN=-dU`h)+)8NZ9AwgN-<g+QGvKU27Xx?It+%za
zJ#-G$h8g-O;=6IK9At{bwH~tS)czeY?PrcNs}SMxEQ5EGm^@T$Y<QVk*cliUf9sY;
zVPeZBCgkGrMCdUxXKPsF;^SqVhD-A#+B9l;e&b*&|8fOa{f;{ows{d%m!@Z%u(L=A
z?$rd*1w-A$7_Ypfb8*fp8KI`WK9Uz|O$03)KdQ{$q%C!k>hi5NK4D_GwCp@vm8uz?
z>w$FMgoF`@{%%c0UG$nW6WlxEKHx~K#>GizW|m+m2%#mgA8~DB)gQvLEf4)P32M&W
zJriE1<IorG$cvYL@Q?G7a0yep6Nx|3x3lmjICSjKZ_Njpx?h667K|}C|1#F?rO5W8
zZpEVmz1P<7>>INVEfyCZ`cCd=);~3HcjV-Q+d`Gk#e*KazEV?CaxOJcUjRCh+kUa%
zG(d77<vQgPz9Dou`@B82?k#`*G~(nAgFg`z)XMDkMb4#GOay9R1ft-QQ(h+FgnuUq
znM?L4QBUqcaOF3o%k3w{AHr=kOu^{0{|N`E&&h<}s`>p6*zfQsJkxJc;p!k6QacWD
zpXe7kD0`BU?rt80GPlVl(hplH(VRWKglR^7>J6X~<RyO=Cw5sQx-dgOE+OHU$lbpA
z6`W|U^#DGAj$r6-$da9=7TN!Zho8!S)xWllL)y4dVErxf*uJ05?JSLPWN~?VX#nYD
zooJpArCI<VggB@9nVF!_P~_9Rd;fkr*ztPXKIQ#1l$4zNW?qn}3Tdb6Mf@59MVih}
zUVWS_ohg~t%Bl0kJu5B*-9MmIfjeF|rT(^`pTey`#(rDStq`OCgCV13I`P}hz`Gi{
zYn^+FzTbQ)-FS=tc*wZX;Ar!(b0_B=Ib@#9P2v5+7gj8IY3^UqOADa+NEdi7&3@dB
zlNyIt=Pb|VU9uZ$D^@oM{>qfYEGwi(IBuF6g}yvCoVat6yot)Z{LueYbycC>ATBW$
zXqED7xQ<|F2IJP-*M~lHB)NDY5(8yWs)O>dv|y0F1LtOVFerj4H4YzTzKi)3gRAVG
za$09=K1gq#6B%qHsi@`{<0!OP0gz>KeNHA!P2p5H6)P(%oMfxF1mn`;<Km#5yCrAp
z>FIg%rnt*o56j~dAK4?~>oWE}m8uxKYbf|>EZ_iay51|fT(;q^b3s~BBMr9fM5Pph
z0cxnCAlQhBF+`YjK8xSSs(RmoXqvy_?4}B(JQ5Oapa`(~5+LBh7v_Y12iTT~Qrjs@
z2P1OYqt}##>hcOJW~<6qPsoG*!O!vZ($vip!MaTq6N{y?rk;xEUC9r=gURtC?yBz{
z=a?@T8*7f2vC-{ZEJvVaVLsqSn}{$ZNBn=_^xKwjJ#SBji4bI}K@T6g7MlPr!|(6+
zLV4uV_qg?5=+x_fwLs@6%8vU^6(Ngr%Jqfr#{Q!}cu$@js_tOl$>qQM#?#;do0XOi
z5n%o|kLa+`g)M1fH1FhNAWA8uC6v~^x3D1r<nky`TU-mq%Pz7bMw#nS`8kLydwV^`
zx_rh**N%uwNN8i+&(LRg62C4tQ=Pi>Q%KyM3;B;Sx1?{Xa5Bh25=*o)3^UcmhMT)U
z^Y_KR=BL$_SyV}EPjGC{ERxD3_i;z4qkFku6EGsw*_%9le<(!*Ql)AhnERfP?++~Z
z4&|4xzI(*EWO4Ka+co01m>O+*qB4_@+gIZln-JxtjDt(*<`-q;H%KnFFN~ROq*40Z
z!#iWGMT}(N)qLgv-Ee=V=eXCPxQ8^a&d5oJdv3I&{jJIFjLgh{{plkD#ucPcs>s8b
z4`-5}PudoQrKo5U7FJXW0&@$X2Zf8cU$E=2kiv`pS=>=HHs(`eN-IbiAf<LsssX*?
zmJaGgu064nA>sz*<iX~rYayYb&yh}WHuM05kH-WBkzK(Ra7|nLQRl3FW;ddE`Bdq&
zJ5$~q>X(N@`u+QG=E`JyXb4ZBTDX1!$|0r9ZpP&hxe9b$0OrFx1kcJa$!V~{yzJ$V
zA2Vd=dm&N$j^gNL?!~v}I#1x!>muD*G3f1d-ubQ<%lcK6QYXwhYCNNSp!6-1cyg$a
zBWKyquN;!2Mr)YjCL^v~y&5O!xPNzrx<_H&$CjnG&z~7?l|tzNlpk7HEI)bA<nCL$
zqsTgVQSmytu4Cgt7EQw6?)PC6QaiB+y}};EMACvj(mR1OTKE^&oN3XiJug+|prX%N
z)s-wi&`(dmQG`j`Y;T93$z1Z$x_#tVekvgnKy4}kj?9&tT%4SUt;y{E?(a`<|B%r<
z1x2%yqoV{14RkD+T(KG@%mubm<?R`}s&)3hNvOQoS1*vQ?bPSes$cC%6ljUPU$VE-
zawkDAc|H2R{YRa*M|a%1^D<|IqW*z@qqV@{!{#sb?kGNvjcp|RByx^9ANi@ZA^Wz+
z`5SP>S1#T-rNvEjm81W(o&)@?PvOA9G*#dI%%ab))><5Uc=en<DFH7%?!+Om%Wkx^
zz2%{b<VqKW|0Ipj5MV6y+vrU2ZVSYonr+|7_heKD?<l^$&(7ZR;5WS_U;6o5g{<u2
z82inHm(;Q^+5pProcZ^-?!d>K1KE)bw&4_W*w9glwKwBmgQEA&?XLkL>5s%;^M6<w
z?bjwKJ}e`npwNkzJO%`A!cdMKu}j2cXL0S30`sREwF@)(eVz;;VfZ40Ps*(NYn_8?
zz&=94*NCM=ExP+^*1LCnM=n7s_U9t!0W2*cwXQRt6M@G9ogE(5nUf;mdOd7vt(kNi
zMr+)D08yZD_Ec+w+8^@|U{`1`arF*WbDY{Ghb)wW^Y^TyMA!ot7jKo}<Arqbx2gQz
ziD*UZwoB=qDE-<LJ@lQ8%`OER`t|ssM^=ItJnwqee97}b4mgV%OL)Ciibw9r|JdHo
zxD57&5c|N8mT{xo>krN7_TE!G1ph+^w(<{df2DYsgm|sGl^trTs`9IYH#oc(Ds!yr
zB@gcJM^P{_kq_2d-;H3$fdbl!^HM~&L}6>a#j#IEsxGuACUem3L)0gCxZJo{dOtrZ
z8$?7zAbkJztLkC1>N7Jb>i5@GGUzfD>c7XU+MCz!Usy{gWLr1BRxZYPgz*h3RfVl1
zF9$;V%xMfie<dZLD>BVKTv7+G32f_VX5_H*bSpMNG}TF{_OKha+EPPz*wpk9vX}OP
zW6!W_{#dp;h;apnGGsKgG&B%IK}?FGOu!wNE;Wi@=JwGTye=iXhfi2oSWK+*dLhDv
z7|4Ut?BQcYjJ2g9c68K+tcU8Fd)>p-(E`OndZ7Uh4kU8jC>eq(4UaO8DgvS(i9O2w
zC(=9N#<tMophr!liLo(kRoqr;4i175Zw26lN|e6VBgm*rtWv{@)j`!VAP!f3%Ikb+
zKpGmrk8$`zS5)xRwV-I|Cn6yK8$1Ku)gO{Q?p&cGw{qxRv|v7EJ7XR0KR1*+)q&8l
ze4~R04j5m)d{SB(w>!e@@D$4M-m7HTGu1u!Gx~u&LDg1uZUzO1rvj@FMW{C%|AH_T
z@gys1^U0qPrBW+{4^gw-MhhfX@lc)*<9L(SgvQYZR5v|LdU$n~)35#K3qI<w=lid_
zvLm4>>I_i_V%#%ceLJE}FYc3^oCELR%}(tJngyID=E9Fl9SA9}?kjR;8)ZSJ*kWub
z6m4f~dmWcTyU6Oxv8UG>YJzAK9S^+o_U&uqy!mIMxf)FY;)w)jpkN70$4*E!FlaW-
ziBbpGkEPQ*WGg2aWG-Vc*Xoi{AwKdS6-7(_OOW%uekG2tTMV!tR=^+MzY~+C;)r4-
zzmMK2V^^ZsJ<1<!xbyJy0|SU_p9X0%k7cv{<w<BmPVy0Or5l2<t=(rfcUksjntezA
z4#k@cqT^#XleGegu{Avg@(JaOuZ|wu?{TcEg5mlt@>Dkh!@j#SoPT0<yXQ6_T|sjq
z`|Y_L;OXHn(o<3ZASUOBT|LQni=5S1N6I|mgj-5`iRpW@GOuN%VFoeww%q4qCOzGE
zDeTF|Lj>Cc@3wYA%=YdDl^?61yMye*Y02cyATWmVD}7dWPc<5z`u=2*7fEG1KjHkL
zX9y}}Pz&P`HlnN<epplcm+%O-HK<@<<YX}Xe?+}^Jl6mIKYrPJgzU&x$qq$GvLd7;
z*<_S5Dx-w#Jrl~vNC_d4Rmjdt63V8iBs7rlyI=3~{oH>3IJet5r{(f`J)e)qeM+$Z
zcyp%U6gR80{(yXBFe5cJ!q4%ox{8sSuxeqVd_|@oe>L|8GzjQJFgO32`A{Uai<N~1
zT5QO~e0>kjIN2gJ0`H4mxzAN8v7L^+!$ExZH`bx^#?IHf=AocUAswHIw04Di%7+eB
zOKS6Skm7Gxh#3UI6W=R7*R3>tR!4`L^>QiFTbQ!@=I-f>M&;^c?Zc3H7va3OZjpc=
z!QwMAQggoRj+5d*>80jb&NuQW<ZU}B`Qp7do}NdCA0H7y@c-4X4K+V;KO7noOYKUA
zbQ8v}<HI4Xc8HqVNq4xeL2gu*X@ZSGEaTH$AKW(g@Gku@XrH`u?y@gzQ&ww9>~tRO
zt<C1C`Y~$TYARbas>87-clkFEBB!M9mTzz>ut69NIG5;78)rIZyuBK*otl`qj8N)#
zh*W?61~Hn)!1wz4)(m{nk8bN(e-n~36q0#<*y_SWne9=;96>qhmu04{-45*u3WCx_
zpeVx^R13ARKG!!yEHAHL!|9){k4&0!vkd5d(1|#+jMD(mtco4!uv91JCSV_U;}Mwi
z`L}p#S4Bky9No@$FJHW<>@gh@?m2VozdWNq5lx4vGEO+@>e9$a%}h@(c-?@8{+KZ`
zbZu9LV5mf+iT!n41jK~)%HV=8At511r-;f$5+Y8iW5%a0UzRj(fQ}6xtFG}o{8;NR
z?nmenF`BXg95Cnt$LAm63VV_FppQ1VN&3XV9#OgxG2vT3Vy1TE3KVA9q5S5{RoU||
z(le#^dqT3L^O_?NuM1c{h-46SjBA{Q<t+%q(b3|5XJpgDQBx{Obksx?PFilifz%Z_
zL$jJm+Nt{kWd>-Oc4Yql=Z|kYgo`C;c;t=+K=MDO1A)kv8D^u9=U;04@|NC`FG1R&
z`MC8|9>1;H;nNe(Tuk7O1#E~H?VtST2lnQ?#f)sHrX1u5FtqF>_Ag9!5^x-S|DG3g
zCsaegU;wwqO+YNzsT$}jPUhUsc^|k!`L2pY{UVdbZL@0!Bzv?1`MD1*jgZtoXRY<Z
zdu^?HB)mT8@O80-{_`1c9OJAx9uAx}GwV?CM|f0wyOWdCm8m`=UbC$XURGwaoCKEj
zCg|#`*_bR3T&Q^F>}nnwou!FK1L!2pJ<I=e+{aNV0>Yn|j`aWmvKvU`0SoVPmk~*J
zJv}1lJsY;SHgFYowfJl)SSVhsW~dv8{e5F;LG;6vr!m{_=Y3yxJ(yRVIknF&X!*5g
zw@Rkf;Be$={wZ)NVBMGA9+#3SKXBq<a!7Gf!Kbc?#-Vt@+k>Z@7F#y?@0Y+n7q(~k
zn`h1YCzi@eN<O-x<JC_2SB9gyK%SbGgby$zQ^W^EiKzxR&<C?uj}oMj0J`y`AwV!s
zxZg+EUi+_J2m$L=gebzJ8uN8&$Vm~keoGzP0oKZqCtUY>+LY)*Gz5}MD5M@TecYpN
zXEFR;ayY?7I`0O8l@Z*A^)CvIglV^ly94BLWK@hk^XF!xKyog4DJ%CeJ)|g!)Uh6)
z>r=14<D@L-L}!Ef`kA1;8<2*`8#@0F@m0qQu`vNb5Fmh+)ta+kG<Wk)SRzoc$D!r%
z;Dv&^E65}RP&4!`b*3Q@CKN)8z)Se3p}<23I0DLc9i*TSzf~}fi)_4Rj2`pKLXhGd
zU0%P=z}0H*w=&&fA<{%|DN!x&eREfI>q#KQZ{C0(K~FC-H?;C>U)d4f5T#lk0|tsW
zp=CF`d|z!i_Ml5bl+j2`F87;2;Gw17cZT8@;LWx48kt7q`QV%~LN@T#?y7*T6Pmsn
zi>=9ECiHbFOSKIsGTeAefb~Z0l+AiW8HPcy9p@b!d={K+Y$ns4vc7!%sz(hWp0pE7
zzTGML>F+<v=hof;^deqLR~Wm`*B+{|kWB6r#_5@yjCu=fPk>~<{pR~|6dmOsZWE|!
zY46IOr_Jt@!d7*%uEov+a(;b%xPAe@1Lje^A)2VHHSkPF_^yhtC$uDnt54GO3-B?c
zc7>T5U<;g8k++qBK8YTJLJgK+W}5K6IW(3b3|Z?3G({pFHu!_!WET6%L9+)}^}hZ4
zDX<lM+4TA7T6Hv>aYwK;oMHgjDk@AQ*zqQ9w?qr3>k>f5e9Uq<7c;AH{Winy;~kC*
zbE7=qkMC}ff>nm+rlBEwe=zbN5p<DAhQK7x)flb3fiFlu(PR<QvNtgq$UPQ~LPp@)
zGX9%k)`4;g1R*V{^pSE3Y0q1ipWpj;NQGS5j{Zh;A}{X@iqbg5F<Mst>{W*Cy4R}O
zfAcS>Ng}y|+PNZxlb%)Znc-IP-zA?@y(p6540v=wSBJL!{!WV1&i^GELrz5ebvIre
zsm&(^D5f}ebwIQBrCe}syT;R&DR=0xh~yAs_)J`=&qD2vq3&|ZVjrs5%!G)tnLU~r
zaYB(yt*k==Qe56I8BeBhHsXNxFW)-nU?h;alP1O_>_x&1Y14Nv<ig7wNF@mg4eiM~
ze2?clA~Kb>hIaEAf*8S^m)CE0`n1T-DgVAF-wAMae3W|i?V}M+D=#L<0PqDZBdYMK
z9zBZKOhgk!!NZ3r1@r?1K^U*4iZ(keMXoYhNquq$-@4DRxS$9-+0M1Er9xVafz`~e
zKGespTlzm_5zW*9t_#E;=jYEN-oTD-e{5!lWoRA8)Kga-O{MWbZ||v7`;fnm#FTWd
zm8M`S2FjzJ<m2l?EqR%>iru$zIHUp?l1NWmT3(W`6OYn6apE;}&?>%9pNH7XrUT{C
z&dI{qL=d~DEw7>=srdLDp%J6&hyYSSHfeM=ZY9<UGb3&&Dp!J?Zew0w2Rpp|&^{iz
zg8KO9R2l6vBErHr6Ceafd3;CRCCcO#5%y?ML0BhW{4|bG`3ys9A}^Du*|VOyzJoI#
z5FH518DF_6>#hBPBxswSB^~MM>qOO_O}Uw<)v2i9nK@L>$`(=*9AwiiB>5liq%~7x
zjalY#^4FZH7e^ue&pO9hN!bIFA+~Ybq|iL;%GpId1Z;zovk*KNh;QMZW!Hhny&Mjs
zUlfB2rUud{l&J|Yvz^=gi$z$`b-2;r#dWk=2B9fT0c&J3$K3xixDTE_b4*i{SXX7R
zYnQ=BxFRfYsW?Q405U>9|JS^O+|5`mIq$_$xq=$(Jf5nM+$wU%`gX2u^kltgVL#ED
zcYOI5$J*a-r7tMTK%3SV741{rk*!AFFwnfw&DO2oRB><lJ>w9O_&{`XMlb<hkXN@O
zq0xs10BSLXdnILMZ-g#c!bJ?Ew_m3?6cLUPW)+??H#OCApoBBZ9WrDD1j2KPTsR;Q
z$P&Vyn=2mPe8l*atE;P)R-3O!JD_-ITa|ekLp6xWD!^32n{!SUB2m3Zg$bWhIO8tC
zzAEUGpQd)0Yi%OTj+nfS@Cetp3J*XV{g*k%TGBi7M&1CD*&Ufucm+_-4LLahjb}F)
z|8OGopsmFgsq9rUhQ#m#r?(CDzxPLKLO+nck~G5``Yy`h!Y(AjZf*HjW$s~*PCt@-
zP|#oie>>1v?5n6Xc9uta653e-`R>|<mQ5pTYc=R^vpv_<D8N)_4Fa{q%!4x55J}QR
zmd;B^R%Z-vzEBDOBXq)*=9ZEik$+L2syS=_BR#D><9Nc1E9!6P65$z;w5WdLARAib
z@ms%zBCjvz$8nG1oNXw^kVi8D(Cshu%xc&K!XIx)ZYY!cDOtV=nR>BP=;rQ)6ZN$_
zOD|nPRT`0~LfF%b7nZ^-z|#?fdRCalH$HUSn8x0~65;|NN>IY>s~ht-QHA5?odVY~
zAU{ceTC$^WyyI6GNY=*WM>FCL|J1B5j35}M9N}d!R&Ka*1dI#(6!}x0=Fa)Ui;lNJ
zGJjg`Co?5E`Rv@>_OGCK#A%1O;UMTKd{$5p0ZWlLFpTB#IO>D+fl{~N=dTc5y0x|1
zpeQddo?m^9&oMtR*S(m8e>(z;Q^V$WH^5;PC$$R!9dtKu)EQq?ze8DhN&2k&k55_b
zj06GxBDa=LeR#qqanNk_1#DFyqTp^pvQU{gs~*?Y@59DHBy`Y;D0;{ENyE|(PTFR}
zL&vLiEY;_+bx565Q$tl=W#zTsUk8yrRa4^&N(P^i{$))+zkf+0$FWfm1HUkJC)HpV
z!UF%K<}>&7p5E85i9yu0hpVq;#jBL{gugjV42`KeHv;$1T7mB4<bf{^-tQ)Vu7eJO
zW>+y>+dD*#J;e6?(+8r@KN3T7jg6;lpFTBtNdU8k{F$dSnVo;2j(tX3R8o=|@#cVO
z^%HFun1ed_p`@5IJrdD9$EB>jH-+T~Vc=herTo*JoT>V&SEeSFoZxDIy`?B4)9)Y~
zTk38o{UUJl(T!qc{(vipkyd}a*O={C{Z}G~ZLN;rHDpInQ`<1z*hBt*T7dc~^0)7P
z4jtMTbg~fbn~Pt+9`d8DIC;}`iKr}imQGa$^m+feDneRT$b>;~HrusJYk#RRDez;}
zC+14<sf|N3h!}K)Xd^S~<M%)Rb5{z!h1jRY;)JI)cvq08ed2*Kc?W44thSU5e@8EE
zQ1~qG!-V(RRiT1HrDCK$VA~(z^P}IJ7yMlJ{4u>>`=IFAv#UW5;zy(uwKi#KXwuaJ
z{Lh?0PF&saE?r3C(ATah2&7No>v1EaH}K`{q-_N+pPm#WoB|Qa<HAB0{76;tG2<G5
zYmV(U<SeLw&bIo=OfVS0ZI13*0)oCFZtUvna=DAjwRF{+hlEaHT|ucyqOAs+ep_3y
z8_7HeX)bi|AeZ{lqh#v^kmn!ZW(dS(`gSVCQuLMq>Vgsr(d&V^4>y_Rf5KYBAG9OG
z!#ZKY*$OzjgfBhE%*wja%K4-v*WUXNH(hEM@VpkzB~9J)0r@y<m6Xy{_L~-^9MnXN
zkfx@lr{`0UqIF}!>O{W>vM&I4LgS5-e~2Y2&FS7LM)Yhuq-yOJxH?;ay<K!O`rTj3
z-HAFNEe`s|CrGUnmLHP5;vPe>+G62uCUFNn*Y6!<_jfjbP}a`av1%0-@880j-M@`@
z@S%P>%g&v@aij!5*aD6LOz)PgtNDS~bV4kXi5G3kXT~gvc8oufVp%r)p)FI_&%_*@
z`GOMrlYI{{o#Csx+N`79{`gH-uALE|IA&5x);?3OBpn{IQl`sZ;EDTOHR6iR$^a6k
z<HtA7Mt?w3uL|`-jLXX72jWphX&zIM3qfb}deI+Ed@4`0M2PIuwgi$2TAYdI!I~>#
z=_+*XS#N088t0$%hoC_dm$&n)rPk(%L*KP)eYh9vIU52f&i^JOtlaD_CJD@yR%EE8
zv^Y%mEg+;bD7s*6T-GF5o#Oi6zew)e>euEc`DLOwxp-WQSJKb|KI7P+z3`_J>E5z3
zSbo8p`gDKlc;{iB@guLJ6|-EVs5hK^&{<)MMik~Tfjy-DEbl7uW0}HTYpeH-d=2Wf
z)j(gQ0)~c$LbsTP5)Y_CAiK)5YM8dH_w9R>t3_3`H0wlghbA4^m+WsQEO{!Ii@o!t
ze7-mcZ$@*Ch^0A)%2-Ur)O4I!_pBR3I1Ps6@ewyaRW(&rs~jUN<R|Lua}4ut7apBY
zhPXjn`$nbrJ<f41oAHM^sK1_qt%zu{8w~oqR*8@bzVUSsQf(g(>}d0)NjMEEO1WzQ
zr4-;e)+Ib<pajOV9I3f-@j<J*dxo~oiv!bU{7x0v)1N+-O%i59jZI2QYwwe_bu;J(
zAY{oJ4J?U|zr8I0qt0S4boO1~Utj)PIWE9|F?Hrcx=`1d{Y~3WKk8=k9=~19Rz6@N
z`{l5J@T~*_O#*`2qjDcb+~1vBJpI-DeNg6Rt%5{^<&KnNO+k_!LGO-*5CrlQw79>#
z(0?tQ?C@69<j0SA*2|K~y41{UtKQjaE9s-2m(}JD|M>Z`Z)2D}L$!1rR{8OptCn<Q
zHc`27dE$#}ItM-O@S-C##-VDDq@=3Xf|;}PJfisyN0kP0?Tgg0S)%q!*Cbavb6Xx&
z0e1}o@j)Y|<Y3d%weqJN@vkgpd~PU0c-y8C=zHTvMRP@30(ar5T0~n{-NL7gj{%X0
z>1ljOt^;t7|AaC13=WH1Ul6*1pm=cOxKP-`?H98kn7nqaq_h;~V@~a!qXfh$VXb-b
zA~W|9);9cqnQ8$DmBb8DFwY?=d@b<`iqn7o`sL7jCs#b|8zvl)DQh^1Lv#nfT*bJB
z9T3d-<E$KX6F?5!05fVA(Cyk<bP3euFYXMcW+H`?-d0nTi@7e->~TzgSB#Oq)tCs4
zbY6eQ>=DxWZ{LL8D_7Vf1t03WdnW~FgiNMFAMH-Mp8#Wr#wA3W%PS}(vDHrS>yt=(
zK3)(;r02uI3y}9mW&nW_$~#y`;H-I`f3B>9AVevbO42sv*|fuEXcrM`!->zux;!!=
zxw2ry##c`g`+e=}BVPb%Sdq=~L)cuM*dD#ocWJzSy@{u|WjC46BBNgbEj}&yV1p*P
zM5^K#lH?r$+z(#p^g-^6uJLVrizgl;uR`FZJ9pD?#Jwm(#@u&Njr8@rB=><C{pyl8
zNR}<Zay}&48crT>!q!^F7|DOD=)O;;`h%01hi}}WIg42f;|R<=0Sjk6CYK(DS(Re<
zFD)vnsH{YA$S%H=&RfmDnOJ0mQuOvjz5R04!9x5(V3R{8Wmgdip<tYF1i#$QPB1&%
zEsNK#ftvTz@E<lo>%b=Y3r8e&5a#LMd?hq`InW$BNAvFRa6>>tr^9u>9ej1wp9}MN
zCsbp3tdExH1+?$-M!NLbOCg+MVTr7JV?+sX{*KoBUO{3=PsP&b7fT+Lgy0?ge2sJA
zw({I=4DH9g1>dj|E}UNbwcG0<Ol{+6a^_)SA*Qupd@IuK``x<DZ`vyKhVCYrPIr6%
z73l%uiyA`1sv|C0*dxSDjR+Imf(Y(wFM9YeJmPmeDJ1PFVmv~{+(kfi(F1@_<@yU%
z1gfKt%Y#zp<InYfVE=C1*Z{&d)%&Zfb*a|E)#v(ka|V4rI-SEzCojfI*iuVZDaVW+
zy`_GC@B)+-x&}Usy#4`Z`2mP=mpd3uZZB4&P3qDlI6sbZJR<Rwy4Fig()J+0V~s!1
zv<Q4P5Sty9JdD9jOL#M(M~>NbUXYEJNIgN3Y?W>@?5cpc|Ab(GVTjI%)r^&}s#ik&
zPX3Xat7HnrZ3~?Q8|f)`cB@UA7i3_5m>3xye>}ahdiid_(3tOz4T{DSVQyJ145hiC
zLqOvM9kzRUa|My&KP!i<PzS*WOi3%mFsMHy#?#eM6PyiE3j=AM^~wHlrMrK%t0?|n
zJ$g@O_qy4*kkiDDy6FA1hgl#if?00EI=NHx$?ZMzh+sxuJKjjR=^$gEelRsV%f`#Q
z@bxP;AK;&D)hlQKLqiZyUC2OfN}~22Gln-4M=((|UFGF>fQf{;q!kc&q^9h}_r*9#
zl5?%EeD1dW>u|T=%9SfzpWpWM7~~kCiB8%{2?}EvhDo8ALi$~<%OQFB+w;62#sFDC
z{tvtvN!?SWpI`<})FM}xox$P!KlAvY6ZN&LSEb_z(X3frMxJvaMoS3q@s;iLid|VZ
z8Uxdcade_A-u5T}A-r)A#E{?8O_YAim`<BGW*~|_q`Ha<Io*f$|BA4d0<Og`di?ln
zykH}>rBfw=vz%RL`9xGMzSU0eCeg;>z7K+AF{7*}xTBgs1qn4iQRY?gVQ!pxZst9&
z;=xnJcN8s%Aj}K~s2F+wW4JQ*`aR=+u4UF%F|5Zt9bHU&1+5-XBNP^Nj87&dv%au0
z{A==GX*XszaN-ELz)hz~=~DDmh1}uv1Y!Iy*Td*HA1KbzXoyW`tu@VhfGDUmhbKXo
zA1UKkQEG}$=i==#LoJEurYvR~iy!Mm51q1zNT{(P3pF|RyZrGz`1d@aM|=RnyfNv@
z<n3hKEh_pMzF&Aj|B@NTkcD?q7~g~sMnFFedPCF`!pszBvi2?Z4$rD{`QaS|;<{>e
z;%UHV1MP&$S4)@wP-jMD>}4B@_u)SFn=tvE-cVcKJGY)@@%;+J^=C$2fqiqSsi}19
zKG(}rF6G;)_|v_=8Q<OAok%T>uw;Y_{gUneRq?c{gy)k1Gi@lOCV=YeZYor%sGdqb
zDz2_4Lr{_C=h>2d=9jxq^(N<d@7h`*aRlbS`705%o`^2qL^Kd4n1HJ`kKjdl29Oim
zeDYb1D4+iXcWzBSi7tD=%q;sj$ht{$J{c!dJ#_Vu<;jytP@F6Z5VZ1^F=rz(1&8JJ
z7vr#~pywO4W)|HlJUsUj<wFU>A3nqxZ*=U9kP5z($D*ATI%)^O(=lTQUChYZfgWo|
z?+<+&xn@LQHvDAvufd)wFYC1xeDR!$GRfn5FC&UlYo{Bhn6x1gGZ?_+1W4ReQJRyU
zN5NHGQj&eCOo?<V*`^@zY}|}*7yw}~F~lf?)UI1lqAre9gd5n@)z%`6?*)LpW+D=T
zK8KI+@)+M7*u^t>fy#-3`(u9zMIabHB)W#YxQWl>{P_o?luY}dc{;;%aW3M_b}XO-
z*)a1ZD|+OXJT@)LBVFE<GqP|GYp1mTty27#T7=;>&MFnG*LfDA#<SSl3=YLJUyM;d
zP51TV?&Qwl8YMymAxY2vJV(&`CpkS@RJKx_2Smf#1us&N9zp&ET88kv^yg_uUb08V
zGR}%mpMZ7UT$(&08f}?l1U4GxOu<b!Fm-$mZMdV|^uHL8aA6(ro51#B^NLEao2scz
zxGLZ~#)1WK6hFmt=RSgO6BX!lme0bS=bH_l6{QfoJ8PJ5oCpZsK_3}Nj|VP?goQ)$
z<I;ORW7|Q&RE-56KfhYW8=NLUqRfnt{tc@%@=wX6Z~pz|k?7?R#$#rpjG^KSMhCCE
z>bq^I%Z$BjgLjo2lRSdmbj|^R-!?Y)ab!F<I(_=n)D(O@`-`za=OWkl#9jHq>gu#d
zyD?bcX9m*}I&z*NRLIL~YwJrtMxog-$ivt;IB;?MFGo~jk#W9@k_p@oiR$EyS#}A^
zHi;x!-DD?76LFN>uz#YQFw9Vt#Yl+rTvN(3eV}&z*F0+X(rm(S+vT&(%mkZphpzHf
z>)bPgZUNsQ-03(7?iS$8km?e_oKOx65$KZ&%ST99KwJ@t(UXuS>YU0mg=LI{C?5B%
zASvCkVDp`fj<1Gx5-{y)$y=qTMPRnW&Ms>|z7{kqan7M#j<#aPUy0Ga1#x(KdbC0-
zP(DK!g~;OV;R-y<eR235A1~MK-?N8CJwhs|zJDyf;*$=xARV1G=&nsm%ztZV3sEuJ
z2kAW!-0HzNk9@SGP-ya2sUWQQ+~;1=erd;19`D~%iBkRVZefds$l6O;nAAh~3lCx0
zB+(=^_^gj@dWzA+&ucn+!gK;_28{Y+GWNPEU$&H54mXkJl<|EUfKDd|so}GxLHwF6
z!jnN75vQRP0==;PO?)w~GU-x-hm^i!cgD`U$;m=&lO-FHk9Dk1#gAU77GL^s*mUop
zS{?a@oYB~*#i>(lX#M%}r3N1$xEPeW;CN+;#GHViH9$P)yU4Sm<B(kV@#9R<AUI$=
zf(VZ+9jb`rvNMazmGsf=ytR+gg#1xu<!_9FPG4;aj|vOd;ci0I12VGX&t031-E3*G
zTNYnP1-qc^y*Q}fy8joG$1Q?TQ$x(6;GW$3rbSQ`0@65^$%2`K-@(c0oZo?#n+M~#
zY+UW`F<{J9;#&86+3$>yKP-{LtkW0bIxyW4rrpJM2%BChgS+yqg~h^`2>vXt$6H%#
zf*D0^)`|jBQpBQJ;-}Baq&@HpI+qRyfyQ07B+~a1&)%X;`HDHEq_D6CLfG&hsI95O
zrvRcNQ^oh>;D~No4g#1*q1FXZR;hF;Meo?a)r8du+X1;vlE5-0&Le)+*cOp8R>k7C
z*}}YWZ1MtT$;SFK2>?3#4zCW6jKp3o$Lk>cdN%l`j#TUD7c)LN2a9x<`j@N(#1ZZ1
zY{3&^!j@vCRV43T`Tk#%J^}8Z*E->jjq{x6jD$3Dq=9VXu&Ao~g9s<ruf+U!{GBlN
z=)a9OlMsFU&Ouv{UpvE`UOZ}Lc^R4fkSRG<_!4IjPWmuV!bz2^Y;3}8v~set&UZn?
z#Y9Ef<v&ESE}n0h1`_?d@-BGMQGn>Pz2@f+{faJ|$=;NZ&AUKPl8+##XYB1;LH20K
z2Z{@dVXH`Trcb(pkGlq7svw*1?;&S}dtAwH-@o^&ZY$Ln6)JSYH{2Yq5|!JQyV2ti
zNaB9=s&FY)PN;+z*iWMMft}m_<>OP2F&}AB80Ymfv-aCaqxTCvQYftbw?)o*rA|{Y
z5#f)|pF7bd?I4Yj5SWm-M-Y;dOFy4*qvL#_2PcO+`S3NWw{)CRBHll74<Zsuuhonz
ze2GBlc+%3hXV{zl^!~L^{0UJcjW*oE**fIpANNRWy^-Jilxi(1CPtPv9h&Zc-^Ic7
zzUd%BO}u1Bx7=UrX~y>ky2X(Mrng!4R|ly68|xp5wy#<HNB#BGeeozZFT5wV-(=p(
zTN)YRkp+s>{#=ryQ}StquRt(^cHpJ}>Zt)@x!xeQajU3g6uC6rY95?HN&sR`SKJ#@
z;~93^EeuU<T9^G!^M_jnbbk4LDkb-7)gzBD92Z95HG5bHZnJ8XoD#F=pGz_G#8BiU
zL>iBWSikKbq{85gK%X`{c>%cxFB2cQMZB5{<YT)0D!%Vk>}i9%f}QbxG|5~{QX!f2
z7ujvTxhZ8~ik_@dmb@_QK%zQKMWADsK%)<5E0v$__7VgU!9hXDM&W3PRXj5l#ua?J
zh4PnA0Kb>$QE@hi(>~44h8R{|eeHlK$XGe4z292l&@7o6{%3tVH8q)=Cg1$1v$HtO
zLqPV!P!s@1iEoG2^mRvvS-D-PnS>W^$7|QXdE1o_x3z^SMIuNC9x<q;wDS642AErK
z=7^getCPLz?M>|Qh7yxx(Z_@9^NHYC>SGMUEBhFozCq?IS8k?K-_Ap~f#E#OoX+$=
zf?+`<B~`0khn(}^;YiI_)B-HYr-fM{{z_Q+eCCP;Bd;VXtvWR*U$?d%6K4619@dk5
zKRj&#$fXeM#nN|hq{YS>pcgPXnRSkCX2}WvDxN||?bmx4Ce-u#|6yzJ<9m7Idc>w6
z_0RSpLz^#kL~rn==VNVgv7G0h5yfbjrA8_FRU<?agXwzY{SU>S33!ET3$fy#;lK3L
zM$`!)xKgunyz6<-pAVq`Uifol#KC)7y&(ccT7BkSeSK7A!YsYC`z~&dO1mA3n@gvo
zqtn(aG(2&FxVPv!M)rr~|I|4YAOFXGb8oSp`b7?_tsP=?HWx3}`PH1ic|%#buA`#^
zP3#;E%~cO~S65$c`=jY_=2dTRobfKs)@Qq|{OPJ|YmrO<r3gO?UiL)FU;BCreO?er
z!ZpvV8d%_x>#jr30*EeAC*QP)>v|-5O7i044UZk8=;Y?N2E>7LAI~*jY#c}kQiD~I
z^D88AFb;Hgy+^afJG#yW{1*@d;DJImF?i!e*L+)#fPKiLT@?(|WkWkSNjtD3LC`}@
z4$HJ@#Wy%FIz3465Tbx@aA=5*JP6;4hm2H;o{0ShLg$k-DM;JgBIztdS<{;||G<;%
z$X4-JwQPb__Ihn~wX{e()FYuw>Tn^e@7{f*eD#3~v7`{Q(0`*zbzL38fAI%Xk&~lc
z5Rf*YjIG}FlP#@?8|}!n{l-77QBBX)qAl3i5jQJ^iS~a7OE|o2*!<p|TsxO6Q+n}e
z9yjSNoRBh&ySDxPjXXFTGy8q6?pWO5q^R`y=2U+}jj*6ZVZbkXBEz|VCT1754aAq4
z>MSiEt^Tdise8BWiJZ@Rd(-P?w{0p`i!%4mZ>-D@XMKoz%ueuG^;dDvp?{pbU(|Q<
zJ+;IQjuOkOE-qiN?MKu!ckm}S=sj40LKjHKj9E|0uPk;?83&^pz2_9+U7;hc7<L@R
zQZNMp+V*H2R&wX$$iM{)AHwaZ@(mI4GA-6ZPPgKq{+REPe~|^ruPGWt7XFP_xOM;=
zS8ny{*TEvNV6d!Zn!imomwkqO^<Oxyc%Ce4Xf7p3+sFpHU3zx#G&ShHvPa|6tLI0R
zIdFTXCm6?No7^81>gNBpNKOzt=eNSlw@%8xsI5n1+G?M>??c`41n+_xom?z&T2fH(
zLT=RQp0GG8CG&ySPH`$p{eQ()zXAX2bcP(-$+t!?NaDEOJg~zls(+l}mikf)t08lI
z*qHRbf;xUehPDI^I&jX0(0{vH+o!rAAtpve$fi=}x?cHt`oAv-k{)JVzaYWLh9(AP
z!Ma6`Ya|W=>zB%B294~X(7JHx62s5-Cmi7+%&-2H|EBTtBk(Uie2yGLXX&R=KH`#{
z{*ju3cMD3MTF0ykpxsA9@(ZnW1|eBTIOc=EN4eqteso<&uA><7Fy5YCuj!>5f{Kbm
z)6D{v$40(bpJ6JxY)5cC%u+=cGoUuRq!xJhE;m%aHu)hl7#`r-zvpOMdw`;0BzXr<
z$ZZx&$hVZg_~zfLL>Eu0wLeMOCl3kgUFN-cOR2uhbj#g}!!=i&TwND*o?H>Us8E}q
zg`F1KjmL`DR*%~D%p{r860EF_PQPo8B@vuuReCz_c3&)R&Q@usCgSDGA=M>G;}7~I
z<6aT27ku*zZh^Um)`Di|uNaCEWBiIv3J=qIm-W_3l)|f&&MmGkuXu(~1?Ika6DJiv
z84mZyZ>UpbRngRR!PX*{QBhGb>@Uh5p?eT|Hv~}S^{<fGu(TdWWTIdghwwcyK@(Ot
zO<A<JVo(xq_83wjH^RD~nF&ch_(K#Lq@W%FIjzjp7%hjHP>lg4CG*e7_8BByU~^0U
zcP%NAouA+EL~&&$K=MIX1)%A@X)?hJR?rH<OgFO(hNoCH5kojUV=Is{4Ws(+`Gh~2
zG;o%3XX7}Em?GfOQ!8O?#}b8AN=&;>eYHC(nJP#2UfeulwlnF^NLF8593$2%uT~|H
z@h2ryA;&R`d4;hF2O1)0H7Sg9jNrh40R+k=95YaP;S53KpLJWS^?{BJT}?W784^c%
zZepFZ3ZL&`&<ohu3`CP-V;MRFc55Cudwf=8f9>utkWo*<o43i8NEd3GiET2_udg>$
z3%!ksESpjz*vO`%<mR~-ZkVNOO@AJiEgkrGmAh~J)`DJrB@e;0*v#X+7(&}C08&T2
zdM_r)vYsPetQTk$_^^Smm};xhsak+du{R`>ZKuKTHOih$LW1<Ah)p}`{+&FgGdVp<
zp0gbWieoL^-)X2Q13O3%dYGl;fw(-PDEW-nmMfTygtq<F>Pe@Rt(t|y%fY|i2d>9e
zg%KO`UNto%BX1jpLvQ`XA<4T1XZl{?4_|tlx#lekt<5s%YuyJY0dvCnx7<_xsnNE+
zah@MRI8Yg4lR&}~)=*|<Y2aJOqS+yxBhrfR-f_}X%JT5L#Bp$P&VT-F`td{U{vGk7
z4mE#_-tQJV_DZ_0a@g}%F2kLkrj3h~6)l8O?l`yXw&ZgjRrF3>VG69YSf;KG5ql9%
zoJO9d_QrDWg|6n`7S0Xz^%jMvp1z=Tn1Xa|0^MVi0xAUBJ&(^B4Jr795x@*?{~c;L
zk)@Kp*0uMX#7D7rXM(R;GZWrbl5h;T$s4$Rc(w-uE#tV<Gm~-R9WC<%w%cc2hl4>g
z_S{ocLlv1&RmTOVYN0@yl-7>k>hdycQ(f5-(;I((xu`N_t9d5UD>YRdPe_ZezuSx7
z1eWGiU#wNyEp=3D{=QzooETbn>!0%Z*S9^E_t1+qibvTc*$l4&x4iD_3(}8;dlV-7
zcXLYaYr9}#QubpY#J3AIg{B@0v`qTWr)zkvdS&mrRzw6l6=Q%EXROxrf}^Zs7<liU
z>cbuOC(H;Z^}=S!wMh&HfX*Y(%)>;=u7R^SqUnyc@#6(z)JXdD8A|+Ako%dMx;o`w
ze^B4h_yHFigB?dd@A$!lcXOBb>E;B_4>DeIyoItw=vw1)mlmzv)w*OV<!RL(POg7{
zbdfB+9hTf$>`b~EZ{4e_tLy)*bRi9BYvgIK$PabFAhQTmnSe7#9>eZ?9uC8$iH8p5
z7(Fr)r<OtBCk7l61kHnG!Lx%4tffV>K!uzPuVlJDW)jDouPvGhxU!+e1afLkhw;O)
z;vn=+xw)i)I4)r#gUkQgp-i~7qN9b9Zjx*EC0rfCWFjlO0)sZRjz0gexuOw}dSqaH
zJnQb=3$p2=(7|5$Y@>b?N(4w_0U1#j-K-mNJz;1l7M2_x-Sy060IFkHRe{@OPf%An
zNU{Px?e?CXpLaG+jxTT#bbxXI@BDe$k)=M<9HWF&y@_@u!|`DjbRR{r8_PL%m+fxk
z=Ha>N=cjW_(W^@<uN;gU3X(*V;Y!#c^Ao@YGVz(2-#~GG_U!r%78?kK^hwI_t1K3R
z(G`f2#r-k_q``&Ei<G`;Y=pZ8M=G)a{#EL1lM-nez5i$#l)<h;LWGZOVq?ckKYCV4
z&D(#zEPb9gZvOgzS^!Dj*Q8%4F5f*rR>CzO$>TUVf3Vnxf2RSV4E7v+_xtX}ksyfx
z-y_XHacXt-K5pyHs3fg16qWc-<1?n%6r&A$&qDJdykw^`h5LYnQb#{<@BV&Nat{m*
zIZf>o=x;)gCpz2EY6nfm-ej-N`v>Y%g?|<qzso%sBLtl*!0vP>ptVHVbxP@E<J4FD
z8UKLjA&9>8<x4(}5K;|M^9iLqdNu^764~oy5s+=$|K`-74d^=0;$A(j?)U)+rPRwc
zLEjf#fF#EQwl`@wr2VWbMl4KC3r_9D$r~Q74VZ?=L_w?n^0(YrY4d~|S8?(M*_rkM
zAA2!E$l7$|xv66H3p8F2HK6K}&0g5Wd1|-Aq@&uS5IK)&&2lp&5a1y}sBqsbS&2oB
zteV>PM^-H-iY#*#;d=ugLfc<z993R8KmT>$64I}bh^t?Lb24PJ)`fk1lTJla^JSK5
zywmf%2dsD!d|+|t)BuQv`TVYFPr6-;;jTl^=XVoyy2ESR^)}1=cQHDVG(K}V%5H@q
zF)y#GVBT=6TN9ynhh$|I??oRpao_mZ0l>Jo_oZDC%Z$Jc=WDC4U+Y1rePiW~i*-HS
zo%Y?Olpxvgjv(0H-nIdEEP@##TkWPAY__glxl+gdd^b-sjWpq8;ccZ=pgJ48C~<&#
zVGI=I0U~@mrfyNRAObP2LtGoXSiP|12vf|9QV1zDGp{XZ&oxdR(u72!&_(h30fU$$
zC)_34RE`<9Jm=$3c}oe-?xYAF_EOLMy1A?y2tjQ)c=@DGx!1DM^4eo|l@*FZ*N?EJ
zX}j3sVIrJhpIlciE<SMA<Esk6Ohk>5Ulkcli}!Bq*f>@u%NTlXI4c4aeK9fse-$mQ
zu5Qog#iM;C?e5(VXmcMtx;G^(G!()W*L>qN;X0-{HKK=dWmb0uDc~~i&Hz$}p;%(=
zI2vw<Xm2_;i~T1@IR#Wf@fjNSVMe@|?@N6jSw)8rBP#-Q7|g{aN>@I|jJW<;T1u01
zVpNWKiroS3z#Z<WYeQGb_wV0D7E({`%~W*bi&TYY4m+6wcPz9x`33}RI!I8EH|WE3
zqOv-*o8lq~<ObNRS5`c+zOYA^wy9UDV;%ZAiDuBwso~wJ`m}-N4N8s?^$sD2H(GaF
zABIrvt2G*u82N`#(wj!=!v5nlG(u4PV)_SF4WI4izkhg(Kr}%XFUcMaY#3gvwa=t+
zq@sr*Ktr4!HedEp!S_L^zfMX)dO-cp*|;5BShgM6NMn5K{8NjjmKw<72z86lZxg#2
zp#aJ(dJ-4FMPnk<&+zqfhNOm*)c*psd|<S8VbyZA{Y%b!I6O)eg&W}QB+Z}AM;U%j
zGBwth*5jU<pI;ks%7!=@4ef|%0Y8NhaOTAG6FY=$*HnPsR&Zcj#JLV71u=MPrO%9J
zRw}y>#Oya%t|KFBxbH?$i|;snmNMpVY^x{ZOdLoxjB{F=9c^u*=wrNB>^UhdsRRg^
zm_(ZUNGH<8?$GuORrLqUSyn1cP(I#L&fHmX5wsyXfkB6E%RkCS?IzNc7sg*~c;BI(
zYqY)k?7uMg%fn?y9u62>ZC&A9tH~+h(SDkEw*M!LK+f`a!Jyn+iv#_ReaRvG4a#rf
zQz@}}@fXXJ-!{iz>jr^teo{Wqi*Lpm2#P%|-W<HUWsU%wP}tSh_5v&hvTuE?tY38j
zC<=O!GdOcf;7>u5jRtZPAjr2FJOjOSon31bRJZ<ROm!yi&Gbqg#)C2TzVky(13T0X
zhkyE!1Gv7RAk1SFl}e}xoeMK^4frbf`qJXne=AI*|0t2U1!!3}(k&_%p_BiJa)+M`
zf40b2rCKBnueQd@Vb-Xeu=$wGu`^ro?((#^^Y>T8OmnD3B-BtX7nr*EOhbsGdM5ON
z&nGcnHGdUB!Ju3)G{Vf(XqU7qb^6AOE-SwH_SqZd0XF2NtAiDGnxSo79xV*@nUsn=
z_OXJP?kmj=g36`4yVSSf$|Y{1JI@)==TDKRnU}EBhEfLK(&S41l)t0}a;WeMh@`GP
zT<&W()dg9GZGv8x>XUlpU)BGUdO(l-ur1x_*jUZqCf==u-8CtBW!BaASvyV~dQLcd
zKG8&#rK4O^=-j5DfV;r{tfrmxBY4;1RaQD0wtkn!Go^Wp+Am%m)&&%H+m2J8ST%~=
zVQn{C#5Cc`tQowUZBpiGmRP#KA@?N%A0HnmkLJ~$t}e3TQ^jIFJ_1!@LE^3#D?ecS
z0DTNZ$@WzUSn=q6=shU{a$k8N<-|jwnUy8V{eO$5`sGlS4H}V#nvscVb#-;<LM6De
z1$m*UTzn5AEV|IQ>#o~n(+kZI34AuTcW6b)%#6L5hl8f3=Ae+!(bA#g58mQf!<&*k
zG?+WjK}-ZIkW59y6Qo3rjs>PgIAQcf(M`w~=?_yK0@09Tz$$jaA!1*w)=`#Mq@<*X
zkF)#jz|GAap`t|8CZaZt&l)-WN}m4uPvjtwj`FK^|JZp&_{s4V-V*;R2aTJ$g_lSR
zC=iiV;F+eCC$Ph(+wniIyV)*Q<USf0^yKR%<9vasPO%1KIuK^yGI$ihJb4Q>rjgp{
zUy}P{ZnvK~`b>_Iv|W-gS&W6$+2dwyQ|XzrD<zJ8ct2^C#D;!TLnj078krtEF*b9j
zNNhB>uL<={P|*|Mmi>)09AYGyKQ*RDYOhUolt!8nKsxqgV}r<3^oXP|sU19egb%ec
zzU1Yf6&MJJ62qNtWCZwSa(*6H{RNL#2$2zI18glUDjJu2@v3e@y}5RKbiGiwO<O3F
zg)&}bxI7(aK~li}^JjUP>!uVVuTsnooX*hlBbTn)g*~f*OyDIU;Y={o>Wl*kzy>NS
zJ`3teGs*EWI@QoKi%r&Uysxzn8V6Qd+av#i*iPLR%d?%fZ>rIjQ|HJUtoElK4vewJ
zuP*XG)#a<9**?*Bd}8Whwm&Td3akeSKtDa;1tlb_NITJn_+=Dn_+OepbPy*O*E)1~
zKR#5#ED*)EDQL!mEV^@9jRVofM$tkC|H8Ee2?5N0-mCN_pMI_*X8k818Ep^B#5C=5
zG+#fI9rkb+I5zcX#OIr8^#@xI@|S9%xTZ7$0VzCtCLi_c-m1B121(j{R5-_UaxiW*
z`lEqkpe%5aU^q~0xD|f6rJi|M&uCOyT<hjj!t)oQmCuFtA|R{&g6kphO2}v@W+>eJ
ztogv9)AbvNr#73_x{Eu{N%o6A=OqOFl`OX3*zrVvymt19e9;rd>5!8y#oq}8=SA)h
zt`fVAO*luc02)Df*faC}{Vp|sM@JG7FswmGT3lGz+1~!Js_H%DB2XD2HME|k9}pD<
z;ummeY?44aoohHaG2vEuijPn+l7V|5G4Y6B9sGl!^l;GRKi###D#uA5(^~?pR$ZO2
zhsA!Gi)CuhXL4#1h4G=+x0-)MAuboH3*&05Al&H)1O&QrfyOSpRh+-?=!u<ZJwPS0
z8Kd6pR_{=J^%2|sgz6egHnuD09eyH<0oL7@z?}gMS~^j3tgQb-Y}Y9GqSULc5v|jM
zMP~xw8<p~p{&QKS-d(!*p<%co({z{h5o2O)Qt^9sq=-x!r>SV9G)6vQrpxJfM*UVe
z{5$0%7(M!^_<REUKUFAYCsyAfW**VMSxP49BB5w(Z*LzMkVBW?g9o9$zmVvQ|G`1_
zfPw-`u$}~aMe>mD!PAL4P@TB`mr?X2@w31Y0I;^Uu(aW1!+?p|aAAHP#!q}w3-1*1
z>A`-lb3p0fL4$17OzNF1e~#xEAxJ1y<r~C6xE!%}1N4R7JNXLIlyK4r=!HRqW@?Bw
zm{g;igrJ}xoNMsIT*k75NV>R`-Ecf1ad@3?Y;=@!m&OY9e_S9y;8`ij7U?OwzsZH;
zdT-Oh_(ON`YjGY()R~>0ew9yv4a?hm6?I#GtUyoeCmxLE%R?qM{2bICFaxmE89z7)
zbIR?M6u>H&pJrAQ8F(KMI3*ndcXXvYC?&{b&I%_S7rNMK9ldpnrex+qphvX@2%p~(
zxSIdrev_oFe~CQ%Q<g?LQ!_E8@iRlbmk_8KD0eLQ{BXEX4K)F$xd`fq>^va<hRZfB
zjg+MdJ~Cb3!Tw7UEQ*$9iqn)7m4wO9pWCh;Wjh8O1H=kW>f3kjY$@`{95MCkF4VXp
zwtzzT%=0YN$XOpb!cLBdmYxR!HVl6V>~X9}PuGksXBBHsYOU5`5!HFNV#Yn?eio`g
zz`u@c#t3DEtEcTjE)Ni4>TbuM@Xj2PmM(K789&S5_*!m&Nja<O_{7Y^fwgufrGK>I
zwDPfv-oXXSUk|T+Y^6xJOx?QLXY+-UXa+G<T^AO6)H-$O2wrS}U|9WHg#F4W|3$Zd
zy}@c!^y>5WTPSiZQEgoD4|H`n6F)m$`Lh4$F6CdA8GBoj&n3c$_5J$`5S+ODrvED>
za<1@bwl2<YZl?1Prh;A){Ttn|?)UUua&zOL4aJLvcQ7@>E%{Mf!+y<w@@(&N>-ZNL
zBeD<WdwicEwUE{!V9tW~K~3@71%Cp2$YgS`P3jcd-H1Akr{|9&K<#1p(wCf^SSWkI
zE_xho&$G6A7lCNPD}9IC8MScRflL+;Y^D}Y4Cd8PrT*01{k4>EX5p^DyVSuk;vh5k
zvtqBl-huk!(C2&|1cC<F(|b>)gGbIk*9z}+Aa;;#;oL+p(Nz-DfMk9J1qD;7TT0pz
zqCZ0jLf-c-Euy6s72U`*WZ8Mf#6%8e|K8i5+)I!KYPbC7@7h`dhg<%yQUDKV|4S&b
z`ZzqCmY(jrG}$zl9WXvNmbp#|MG#cX-FMPocXyBCmO)Gfs##Aaozc5<T$m+{0Gpk#
zq20eHNo3(_g#3&-5wcWZ1VE?)U=9pdwC|cpQ@-gu=vHI4aeyEJ`&Eqp6pkumwrfh!
z{<dF?{wf96bLZbt7iWu0JW(eMal)S_Dt<s^m>Zbr>6wEZ7GzbxnCwltfcx^tzwq&^
zoF+GI3XILdNe-|1Z4pl*Swyx&z@2$ws5H3bz#Rjpz$WUb+^vm??G^DB3i~L<zmy3l
zW7-M|;DS_LY9xC;>e)3cRe`?mO{ppW;o~}+Csxko^}{|D@#1xJGx(o8R551M2M3cW
z*9VrL^SgO-Y-|kBO=;$50RmdaAu<G68I_BF?dPvwaS6j2x;wQC?Apk*J`fA>qe%fT
z>gzGUAYDFIOQ?nn2@CipX6doSz>e|j`U{wQ&<NjAhRiP%M4%bx2hI<PX9SrS)VjLk
z*$AtQ)v|{#8ooS_dUref<a2n6^m*eK{La@{j1LZenxB7kvXFX8^G<Ra{ZpBlz+IUH
zd$^9JSR#jMb+MZxvq+4b^XEL`;#5>rsE@Z?J^~^Tqa5Jezklx_0iwJGt09!On5%$e
z;QqmLQgk+Hh7QwLR$_QKm2dJ$Iyz&M_b`n(Dv`8#Q6vvF3Jyfyv@iXh;=YzmrX6VM
z4cQ(sA|T)HpVKZ<sou;e+7@fIcDEWb6}}%9mFqU5cQnlxU;dDwy#S#xP)G*KX2?sR
zJgsvQeo@tAv-@xy=qmwX)8=cCU6SzjzWV8H=Fu{HN}!UB?O1sUcnL5(`070MuYKUN
zNMb~7^}X){Q~YX##vlqhi8ck<TGmqXbIcexfBJxU$0u%$oO_V}(^)9$gB-^9d*u+P
zj78D>moEanjM3Dh(|2mQ)flOYKv-j{%|9W93hUu(2I!fWwgL%<h~A&>jo(%q?F!Uo
zb>ij(o^yv@gXHbip;ONryJ!Ml^y`^SkyIbx4S)Kp0qCE|10A52H{T$*AUT<Aa{1Vu
zh1AZNE2o#-3E3zNBcaJ42ipB#1okFXnc$yX%g^DHbq~uIEb+vl82uO&O85d5g#odL
zFHVSA?Z`Mmo%U=v#8GUw53xj0>z-50CEed6Kq@Mb_3yZ7=St$~!?P>|n|d*FXkNd6
zsElUcuZNzV|8&{zXv4;F4rvBr_AsHszN+h2UQ~1uG~laHy8WM%;Z*CMI?Y}El>A|Q
zR&$)N!|D6pHtrP&ohmeuGBtfc8)K>OavLSvXZ7{LP&#FOjN8>`PJ8I4H;Ypj*jJvN
zJ6q*j9UD5_aPNKlcKqtKh*}|o0TsSJ{1#p`tfyDYaVFF&Mu*F?6hA#5q6VEJT!+w!
zLXr({J!#DT=8g>FPv0U_BWHeb(R6Q$#pT1{7o+evPD!d1s7DWy+TbAu*K!?Ww&odV
z2nEH+)J-W~{@Ypk`#1jgzhMkK5!S_JWlLy8IgqX|@X{=W5TJPV_tel8rQ0sUl^0XB
z@^I2H3`l&OJ2vnPI2{LN@020K-GY%L`-QNcpU1c>ym@RO{xpBnAfIAiNGx^wr;bvJ
zKn$kmF4vroAtP2Q;$uW6!+XCl{%oFiw4&lB({9#{`ZIsdx$SEA9Ai7S4sN78w+~4%
zKog0F9!y^`D@~LS4er%m7<_E3;R=6_8BngL1aHl=XKy@acH|~}{}xnYNblmv*)x2d
zjpxrB1OsgX_ZX%y(GCwSC<;yP0fx}upSYA+JsCqvw8HT6p4z+f?0I|pnNObv$Hsb$
z^kP2e;AaZ?9VSWyR6a@nEC6*_FIJhCFICIUcz5o^bQu76zG8%!BIwl1>!mh2G?bc=
z(cL0~T(ptaR&+hIx+<`ynBy}>7`33&(7-@)Muz^|dd}P~2U#R6plV?cTNFr+#ClM9
znL=$zM&cQAPA4Eh13~^@65P!E8@Y6S{WoDo;tpDhuku;sVlosu_3c<~y1m;A4r<T2
zaGrbC&@cfH2Jq;!4@`>yE~RVtxw=&zd3pqK{u&yj#z%y`{Be9DO;ueT_O9cI#rmNh
zC?i#pnYpVo+1{FMPbu1#JLv3j_sgbZ+6Fmb$#CzZkahAgO3r4gE4Qp6dEh1S8ncDc
zPu`&PtWBps$$jzqYy5F@3|{1Yu16;brfp1nXVY93^xO8Sku*L&T|}*xf3gq<2JG6P
zxO814qo-`y(p~Nr(2x`;PT%TVnyEP2|C*r3z0|>R-(|@M9lAVxrL#YNG$8%!#f{bR
zjU8Ja9E*|RCFG9WE+RhPC&W*`>gxIiF<jM!Y?*ZjSA>y6=nU`<6DVIOjpTh7@xe`S
zvP9!u)uoS%NFhvo5}LoCwJQEa#;nAZa<Uofy9JOd4JT&d<AU@vLtc%FaflSYDZ*u%
zhDVJ|WRcX0eXrt#T}PvDOjG>~o+CGBp`o8Hm^ONUpHUU;h!U_fTsrC6q5AdCgYmj+
z^8|CQ_@e%5{IwYB+uKk;eg~id<#jvXm=pyk!?svC4~e0Kl$2{Tv5M0gy#@`8@|QXV
zS${d-Dta@r+oZ?d*XO6zzKO!75bHjMOO%bBosqeZ?wXprJ+n&B)2E?NW)*;PD{3%_
z2Imm>@ngdnJ00P07u#t#N=w*0q*Aj}yN}_?Cu8XWoVnjXp?)d2_rCaSbCsC3$Me|5
z$U51dHa_<t7nwk8Zy%et<PDDP=e+$UjdM9q7|!{(GU?tI|BAW5A$79KrU9<x)Km_d
zQD|au*_K)Bb4iOveC+FU`{Q~%UFRen+M`iu6wS}xfKU!`*YwcKEa@Lv`ENmqlk5eq
z6UmxT<F@3XK(}>=4eygZw6wGmcbLmXS3X{#9LA3Y>4Nsb%VXvplE3bo)R#$c2aJWt
zwOURf7Yn6d&&<E$;@1})n7I7v+bX?ogJfjOYbBLx8XQU&p$KC2voTI|<~?7ETjA*a
zlZ6t$+`@uAf(b@Cwz4^fRHr$-gc&YlTsTu~cI3jzn9Vn!ZwmoMl$K_%8cM_;@ga1}
z_uiRGt&ry20cj~<w0-rDF9stz0$<>7bIU(ZO?h+*E@Ps=yZ>V|XkEZaN6LIqIgsH7
zL0!19mqSu7n00As^<2(@$-K>94KO!)kNY~sI4RY}J%HPISc(*oKTG8G>(}ur(F|ot
z+iEyDiJ5$kl82z}!O1Tu-bTwdCfEamAhMx*TpT@!V`P3_CnQs6FJkWle0-EPB5*?E
zxs1`3yYxXmUH?v2)`<am-Ehxq*J8m<QIx~!V3>L6fVA}F;vzzo3}SevRWDq;2wegG
z<w7-|q54ig$HB$5hb0nM&ws69xvx7<YZRW6&FjW-$mw}kLO4E{)3HUu!6d8O4Tp}_
z37e~)alW=XVki(l8e@1;9W7%>EHev9D=P{rpUI^zLK~{CQVlK|9BK%MesJ=j?JM#m
zm6DT%oHS1^k_%3C2sa;8R<5w-^xTiJOxP5Tj=0&qKwOe~ItCMOcJ8W*7#5P^nX{aA
zr<kNJ`^E^jJb^vt{_KzMA$zREU0O<}l#+s>DG;ODp-Mw|x-aJxStBv@O~Ool;Md|<
z9TT5QM?p2_JWxhi*T3$G=H$AiuKrpfA;4E93lS9v0f(4#NxGHi*zdG$+Qk^H7GX{U
zrE_7y>C$Nt1?-pPxlx%1Lj7FTD;sGH%@%q6fPh}UWOe%yR&=;_gKC$qm6a9tjJo2>
zMYsVG%7f2;wWpQt_>?0PVSnbDjhdGzf@~YfKyX0yR#q$Jk<GwlE!a%Yp`c`iv@nDg
z+q<e_Il#GZx9ARb$~=&Iu=Zno^{qNGf^eqx+w~?9!HcIxCijxK3y_3jyvL2Qv)V}0
zJfLYxcfe=sTmmTz$zpKt-D28zmDgN9JSzm6+x;!~p_x+!p@n?PO!Bs#$oiSRDY(<2
zc<iSA#$}$*y)StlnQUoUS;!Spcl?c25`(JKM>%@Mypx51`zy^$>gsMBKi+juZ6<T@
zPVDvs<Gbfg<Kr&@5kG%^Mly9D8!hNim<TML+_(L@zW2yiiI6rHpRJI*N!3p8*^A-+
zxR=)-{A^f5(*1q>=;G#@tim`_ZFPk+T>D2O$M&o(NJFj%Jq4fN(vbp+BKFKs=c(c3
z7m_puyYO?8e}PGC;`+Ce-`|GjOrMW!sv=r=eSUz1lTAA+Hn#Euq7^~Yfx8IVd|F-(
zC0~n2GiRG{2v=Z5#T6f)wI#1Lzn7YVT=qxK7P*e#Ktn?wc-4Mq)Yv!(e0*+aY*Pro
z;u>|tcRZAT7RQv?xwJrKQ21ljmseC|N~J_Zqu@^wMzKb4IY5s-DXe`h7x)vcF4~qF
zFW|Tf`nrdw_JUu;Ts)`W#MA6KGH1}<)wTTh#KJ^Fwm@T=oez1&mO!|g5DFijLmQ4L
zjr1PJ8VjUG{=$Tt$ifYH9W7#X@GHwQUUcK1b)o%M<{@=rr^asPQA{IvXm&3%yIOb-
zr|1ad#NI}n0^}G0O2@X{FSs9!Z?BsQBc9b#`}YGuM%Q{Xk5jX=eA0==rY758HQUu@
zq&Q~n=TuNbke!xhW@2(>PRs8vbAffo@?MvgijPJk^n{|hvpa5)FU^*${pExa8><TE
z%K$dbW5*I(iW3`!+kx<qo-|IGy$}8xbnQV!#nd$3n7u5h-Jzw0cNsD+p{*h!yM@jt
za1C)r22jT!s}8;Z6e7Z93LUCU7!5-Ik+#X%-v9&%7&x-$EU0-_AP0_%6QyTv_Q#*y
z+SVrPb^~vfy?vgMII2sXsP>iv(n@=44V~)p$_ln^R8>Lc@A$5yoo?Z(KG<-(NExsD
zBd)lIu*l~aG4D~U@@*TA#iJ2ZwJy>?y%KEO)M_UqHwjn>(KCPrVU!%TqI-;*q;hyx
z^Ya~Eh0p*81E_*hSY%UzDEbM$e05a{zVFA6Yu}S|`gY=&)!svZo|B$fwOCbN4pG*H
zN3*I4b$W|6q1SqdcNk}e{oh)$^d6Qk_ec)EJM5lt^fmVf2L-~?e2*C{EvsM!VmZvj
za*Wni8@3ONic&VdFCnImb<RyaaUPYYqosLlzGTm$mr{Zsb^y|vJB)HnivXjy+Lecg
zhpX>qj?_drVfze{B!Hp3z4QWwfFgDiXQA3r%j8qJ6BvH}O4$zyRQ<ux4(=COpm;ig
zT$-4$E@uN=Bqkxik%Y*Ly?gc;Kkgw0UM;@dSj2vjB=aMw(uxKs5i&~*L<g>TPli4?
z+BLRosXy5LdAk@@tf9(s3m&%;EwhA$l_@WlFNd|coe#$B0&s)VxjUg0wNX9yoOTp9
z-69M3pwf6%%JP3&fb^I>gF=_pDI-94#A*%n_uDGm>x;K|pLoje7iwMRDrOs}Jkg?V
zWoZfRKR$HmuVLrF+oebIZ;ZsI%MJP>PaeOu$pq$S>5wz7&BZH0{|dKhpt0yZ4ORDY
zaRUvFS1_rJ|Kr-&ViF{A<{sNL(m7&m<gzr9({u@4PC!+?k^WINwgOWg;>1)pe+|Sq
zh2%a0`3d#NOE^kyj=CA%HweZ_^;C=i3X-ECxR#25!&4P4DXQ6Oi0MXXWK#P0JvIBM
zV!3B&EFHPs7Bo#M0MyOld;bkW)Dj01)M7~1hIAdG4#)1arZg>~gIOJ~5N#l3RyGL)
zv1_84Ax9~TO8X$=)|I7RvL*M%4<C2%#O(Yr1NlRAY^+G+MWORQ&q>sec7C0|EL(UA
z7xg(SD^(=der>L+uJ*&0^Z#_7dsD6p&3gKx{T2+O%Hi-Ydo7g62_>e-9ls#@wrDVE
z<+DB^9o^5i4d7?LKdrGdJKqJqoCGg<`7V+FHLoC9R7aLYH0A6!h@=JwQ9G_vwlsX6
zv-G7MSNQe>f=-V6mx*0w71iIZhDHtd>oN6jqhC!Hm%Y88y#F#od*2>$2?><$kuAN6
zeV@l}+Sgon0|^FCV7Wchta?XBn0sP404}%#Xm-NX4-r(Sl@BV3Ai;6UzUk$IwcGh0
zXc;_zbjO!RcOC6I>Q_E<R;7+%TlWBdti%8yKL6sWX+;#oATk%il@<-8uqNp}KtbpW
zBq?Ea#z~Fa{ocKE5c6Sh!rt8x#}er<UhmtLieC2pgSkkL#$kUC<-c0|*w5J6tNhki
z5?|9;H>G)|WN>Bo5#ja;-?_|b%1;JvyF2Lk;+(%|=#se~c`SK3#15U-ugKgVGwVI@
zlpyC+KHwyQSsDWjWP1QBu~WfEXZMg{M_4n0+TP~t;#kqlo%!IxM~c92%)5}-klxxY
zDER9A`#+fP5M_ewIR%CHxfL*hboTa&3I(a}21SiZM*LRP=dC*fGk^3*-0r{*ien|F
z-xe0S*$+w}zv0m%=$oK%cFj?VuDgw?uUHmLIKndUup)KrmO3*R*TI*jQKm)bAN%M$
zIQhq|%Id+1hgUp2P#!Y<bKUg2Bo0r<iGI1pFjgDk8!_Z+I90$ABxv`MJNC=(XOG4@
z7U|I;|6u6bC0AFB<6JWqyP21KR8Cqdq3$+6U$gMk|3}kx$5Z{c?}IY3BYP7n*(*CM
ziHu}K*|V}5gp90Y(=aO8NwOMN_DD34QOU?CQ79`Jzw3OT*Uul%>v=tSaL##u?)QCP
z_ciEfXl#@fP9uN3JRR`d(Z|_swfbqk4zqL;1l|3#AWZvOblMj0U@HuHHNLBnsOSy~
z3PJ`0sOsCF!|FJaw!A;>7*^*k-c6v<E%HBPzv48^7?TrV_S{Y*aqx1E#aX_DF7Wvv
zlG1Nm8)t8|p^QmW=3bR(>{4EEOtA+Y6kYW<VpI*|d%PX^oLxJ%0NQY4{oK(vv_Ux_
z-d?U^CLjK;#mQ)RchoyNvd3&t!KPodAijQaW)>C}9-b$C$f2mgAZj2yvFMMx10tgq
z$8*Rw?QwgWbe!B6r|H87*`7V`#L9j9?ps}ZIfDcy*iXd59k!liW^Xj-%}Iwtq;nqc
zhllSbCpXo}V|mNZe>l5L{^L|*Sc|_PKR-!hGFM&A?;K;QYdi;ol_?0Im;%E;5_TlJ
zjIL8hk4@Nl^i$+^9%&<y0`=xyCK<(9Jp%)qhG5m?%OrdZlrC@YvNJPdZ?XJ0q+DpX
z%C0P)9igQ>9kh>auJA+#GV!r|Eh-65__V<>8;xxv8DTEtK`g5T>e1U0^Dj$EPV%CU
zBYS8_=$q7x-QRzT#Du7;tz8Em9ZWg|NX*;$J@=oB5Pb|Z3hIi6->(lq<SFly05wzy
zHr?dmhxv6380MTGp3^<P$BiSp(npaq!I#Y-oNAHISI8hdoJMYc-mNrnGkpMgKr=Ow
zZ5w@S-qA{y<;}I1T({n=&B*TZz_Kn24SDf}K|tBW)@V+nrzM&`@X8fcI1o8W2OU*t
zLhN4m#3J%o=v~Pg)h%esZD|CA#}{?hmKd&rUTl)_%+h}+-Q(oveitvsUBCViNaMbJ
zO_2nT8#y4u%5uB`_<cwGw0>`)(C!$W8L?u%;}o!=8<L1x6o^k9ZB@PyFH43{m>##u
zMSm9i<{&lO{kKv+XvFJI!067SC-tn)f5H*S>=v>5?dgL64c&e2D@l)MpRm?1F12*I
zb&%7Mlq*`D8=l^2c?YJIkz^Mq^Fg36EL5>NYB0$~WBoR;AdEkRrh%7JN!KNNcINBX
z6c@+VInG_l0iU{~$9Ihh7HZv@3TQ)Gt->0<L>vkmTTHSIFHOvT^5oYtJpI4j^Ao#%
z8+&^g1-EtG;EXsj{_~%=3O!N|P*4OT1Bijr#MqZ}QNsK7&5VM>=9s7|51TwNhH`R?
zd)(yD4QZs<ZG0J@x-L(vf9n%+0+xZONi=Lor(QVPw}gg_*o9)RZ?bTiROfKfKz?B%
zFdp^auLPY^9QNcLKXU2PGt>@mZ?-dq;qhJT?Ij$XI92fOdW)Zug4XiUoWw~|qzhS<
z*&POk6dYV{=M<$WDdyp^HY3G7fwm!9g12*vF}4j5)?N+*Ag8$7yL}SU4TODNasTQq
zmYjVA-U7^N1O;2{BryrLx3&WLf)cLRNxHhK3i3khw0l@7$GOy_qru)3EHd!OI!^)l
zLh+?h&hPiYsEeK6x4F5yNlA@qO89p;r{rB96y0z*ew>a!>%Y*dryyAr1mn8&)?L|e
zVr|`}VhA%y;hXVnH-waK+`A3J<*T^RJSDNes+Xy>$!SOmV1m*t5{j`O4n$|DRxZ3)
zr-RxQzw8;zT`+My<iq-AH&Z#nykJR&{iuF^1wy+N{dc@xebh8eizyg8bC}0bN~W+K
zX<r=Q!8Y@NvQ6)md(Kj$XISU6D&0Gc;~{MSVP~*`|F=3X;_=pj|Lz{+)dvrGX6rk)
zD$zlnzMA%Rr_m9@_rct3?)|j>%mqe`AEluzf!1~I^9%aM^^;n2tYM+ie%sfsaWH=<
zB7z|VI^VTw&A!A(x3{nsc6N1bfX4$C+<C`N!;=^#;Ic4hp;2SF0!_OZQ&1qOaw<Oq
zCCENv43u2l+%Vr|D>85YtNBSP^9>BfWs3)A-?+#m{}kYRd5GOTPIm&vhtTq2H+<oO
zjH3qw<7A`^e_8ty_1`LY;rc^}Pl+4fVF_Z+jD7SmCx$}uRIje_iuZu0Q&O5~e&RM%
zQp#ZZ3a;O(HeLo8;mGAy4{j8pKW#SL<p!EVZZ0dq?bF5}=i-O+Lzz)8w!=kUICNB|
zN%^=r-Xf>>)J$Z-f`Q%ET@GaN>lheIZ5v>+97B0{<UOa!fEyT$Z{NLxHHpRZr;j%X
zes2#avXnQmqNMz~(QeU@Q<V*?S!atMC-fy%@?MxnhNnYn_frH<^E;J4-JD)^CL?(i
z8YX3_*|i~(BBsKrs*9~m#12|i6k6K1tPGQKRTItW{%gW2b?p1vPTK}8w&DK;y|Tjj
zPfn6-zp@f7e(@N5r|_<)qYnvNmxmfVVWjCp4#o7uty@}O?c_@Q=MFFru<sSvc+L~p
zw=l)HA#y1xU6`1Iqq>yTuW1WQ%hBiOISu>lw{Q%^FT1&Q+?O>waLWt!C;-Ed*(Cm#
zS??FblXIC~^__)o#d{`5hWCUU(Oa=R=HRxNFU=Nx4ShX`O1imHxVRvCobCC~aSl~l
zj6~z<7Ms=m@#K>&O$?`L{<Sen!kt-3X+0%U_X!)s`zO<r80<g<hTEf?2z-*dv(y`K
z|L2=BD%+HpW0ghc)k->XvizK)UhmM}BI$C=?#N$TF^!Z)QV-lS4o0-C{FUZ=+w>&4
zk6$T}LP4<3H_Nm2VCVi~UP@wP@GcUGIOTbHLPHd_XF|Io{d*P&kK;O8GJV$TTtK2h
zzUuzKJ0K|&Vg;jKPn6pqXxd<yQ;vm1%7n5EcgOrtIhjVY>@XvhMWF0cN55UaJ(NbF
z+J{mRvDmxd&jr^4lk?|)3eiI+)J#V1Cvoy?<WEJ5FYBNJpC7I=5!!9Sd=mMLkaA`k
z6x{Oh_xboB@X<4BUhc-kqfz(+UXP5Z$$sdy;Ve2HU0eGPRzU71g%i6ZQ_5j<P7J&P
zQ4#L0%S%h}L&WHXArD9@;+DVlkF~R#uSoZaKHMpukWta7H!e44n#)oQSBt=a06b$z
zj50T8Iq~U6$3$|CP{gdjS*pF>KV|7Vi_n|w&VAd}br#D`^n;Ta=(eHOUP(GHpNV$&
z#}D#7I_UgS3*iC>rtC)qH5frp3s`ru8Pb*GS!!QU4kssDpCt5r`lNrupK<F_-UV=h
z91`{b^Sh;Ql%-ZOIEy{0*b-aE&U2eusBn*u<XpK<9o&U+Ojzm0LE6^^PEOM7T2b*m
z1Q$w4;VMi_KuS$L3t*IU{&h<H$6&MHrNGnlgfMQP5~J#(6UJWz_61rTjP6vFl&~m;
z^%)c{gV%MPr3E0=EaLAdD1~k%W=!PJHY%dk@u<KQ3VD^P8!FUq<NhD_6XG7}WGO9a
zP0_m^Daqy|%ZhO;fL;0kVXWx0owQ@0ebALw-{(oGsah%5_LvTHyXIe2qxYpE40S;^
zQ0Bk#pyg==yTrVP{?QIR8h^L`%>%qbFk^T6pP9lewdD^dwl|X1Qo@}tj7`KvUB;>U
zkkWMHD{8oIE_fnvo}t*e^A>zkd|y-z@!9>*g-av0SERqXU9h<!>N#)<0rpS%{sq?p
z2InBQ9IeqTOpe)K@!Det%=!fhVH%Pu2B8e+2H)l`HtZ@f&&2vi#f>MCm4#(`etx^-
z{vHatZQg4+53w63hFJyn(&)?GKYi``Q9_bcSRx%?vBUe5HNks$&QKB(#Wi&gC48G$
zc~RysA9UB`%Z-ffj*&YZ3MUIjvofE}+%Nc7-y8WH8z|#bqI`U$*B*y=Kggj}KRmo=
z$F0TKYtodS4=JU?uTx*!#gg>$;Fs^Ztl#UsW>N}{e$I2h{qNtz!58is=1#3m>37xF
zZVoFbtioM;^-9(sm2XdT9_`#ui$y$SL<?D}f=pWqKA<T;>*ZtV?=E#ejf#YxpcGj4
zM=`<1<i(2@vD!H~N}cfm1YNg-<cm#JA48GqF#YYD`trW5Wg3Cyf`U)-k3Ui0;vj6|
z0eTA(BC>aczMz#+Us_%LY~}E0x7hW_eD<1KYy3>g30ec61Ho}i8Q=Wgd3YtZ@l+_;
zEMo&ZJ_S4)M6jvI?AX_`3;jv<*=N>#WL)a#+!LWXodhO9?O5*kosCx{=-+Oax+s=?
z`kafe1vd7Qbo7A*=egIzn*Y}|8}ZRfR~WNnlv^DQ2?4TT)ieObs?tTu2ix=ZDry(J
zvpA=}#^)+tG}**4YJgvM%NyhPW>7Q=+&Pa4Ud`Vj^sen;ljK^zyhO$F<)@{~O%CO-
z^o9H#F6=-{k!}g6zbjRY{UoLeC0RRR^(s`|e)G-9bo39-uhP{~=q7p&%x)VdwQWFE
z?CER?zC0AHOzOpE`{|-VMflv`50g#IVt9l-qY3|3xx3;joH49SCVu`{QdB<o?izxs
zHfwYX@>6=$=VoTuw?qkJ^Yip$8<*;y59@8_m`7h2q=+Jl+Xe>C?AJ~!&wP=?PRoto
zEcqzGS)kEijfrS=27SMcJl$hnrv^%~wY7`fU*)r*v#F^$6=G$$MjxHrx2Ki;OCzTd
zFLI%6uP*P2ZT{77`Q#2?fD^~%?TFRjUg#?%Bqbp<kw174F6-U>bn54LQv9iWTgojY
zy_EGiGC(D%wQC~HC;(Isb4P{lw&G(^T-~*ajXKv)tA7XkUT^Z=GW~SrJGI)NztW2{
zY3w9tFPJ?ad$s4LLM(9)G<YU3{^IS?z21skh<DkvfXMkB2pwzEIEtU``Fj<L+<snz
zvPP7KHoT|!{L%yicwvYyy`>M2+<m(*Nmhi3v2?)-1uQ`@=kxP-`dR&92-VLA&j!^Q
zS;~MkIyyvPu2xbK-{yeklbvz`K{g;h7N{TnUvR33$PqCXrnhjwhoC5G&8*1G;)zXi
z*Ays$*s#!?7P_U6_!7WE(1(aVcEzaN^J=H0OE(+%9sopv;~`*~n|rg?_6EROe0skP
z;q)lkns@8go|ryRWbM<iHsAN%Rli`V$!1qY@#nmZ>y#uqCg{fMnkN?FX<)X0`S)*W
zzQ(k`POMyP*YE)%IcysTKhHCUe*rfHWRNggIuu-P8Km%fz&%6wuVu2Hw!nql^=SMU
zq1{J*5Cm7L{`&bd=so%S{jG;^njLdN=JZH2tb2*9?~j&ag%%WYu2o#!S)o*0{$tyG
zw*@}&(ziP-Qz+UJ2ux&BZ#hqKSG+bciw3eQ9kZ@XUuDDg;2|A*zU0LCP#4?mp|zR@
z>V*31(c59gdwbD}p8r^}7eZH@5Mg0mQRXMsFT_joluMkv>-2;IFcxxialz&Is5piI
zY}l@#E&Tfz_75Ji9P*iO9Li~2c4icG$|SsTv9`2?^(k(vi~{T$A!faT=~Fr`hg|kL
z-gyWYjtkt%7+{p({)o>4a#31RW@#;YqxB?rs?ejQ^D97@iO95$V@fK=na|GGsDwA9
zK&d(P{2V)iLvQjs4knf0CI;_tqHb~RDp_fnmEwZzh+0(mx5Wv`R2PI_r>277cvpSw
zm7!!<n2k6QyCuwBA&nKGt@m_|@#779M)>#E4bMS)B5%mzSDp7tBd>JloKD!;@%<NY
zOJ5)PF*%Kyl7%|**_ssfez`hssY7g|r~5JfRA3kby9Bg9d^KkWTbPqR&WJi1mbT4u
zJ^#u>R$<PGk;iWq@9YS=8F82R#U)Q|eVc=QTC6q0%71kSxDcYdN;x<k&xX-nD4(J{
z?qYvNwvKCIgY;EE`MTEiT0-c%$a{N*zFY*e4_|nrK|V$TpU;hebL|W()P(5Bp9f5O
zt`#fP5}#S9w~`y84>LUTuqr*CE&Vo3&X2U6<9kRy)g0Z!Qq&O)Q@cG-=i#&_Sxel`
zxXJF0iO6GP6Wk?GV5nx1wJDJ4IePW>1{P0?wbqY0Lz8rM57bhT=)TnvzZ0u1uqjq(
zDF(_l9M6Dy0+0dt4za^($!yKl=W{DX6<9DRC)o={+k1%p3qQPniE2s4v->=_yY>q#
zznS3w;0u`Ry!+n;R}}?=n)9RVX0iYCP&4SesIULpwZYDZYdCt^|B~#;8VBLJD@|-$
z3Q_46(K4<`jObFz*oZP*V;TpFz!C4FTjk?!%t@^x%V=w(0f#X)65ZglwA_Nfp4VUX
zPBYnn#f;KD&!2PrbF73L&9T%zl_aiz*1;&N#M*dr(up7;CTV(EY;63Qv%kNBsi`T8
zn58i?U5AFgi#H#mraeMBq)0znn5!!$4p$#qTIVy63^fG(t=P#MoyGZ7(U7JsS7zaL
z!@?!~ZQMHze)DHGpJdd=!{5>L_EQgudjEjyuH%1a{eK=HSi;Zw=bXpVnG4u;^qzJ)
zd-fRfMK+YGyKc`;iHH;~EG$4)2{dDaBqN%Dz6CS~y(}UhUy<uAsK;0r!&1t|<}OJf
z1{la3*=ySR`{nSKpa|yXh9kU7mLsD8{0@YDhrSKQXAK({`vyQY>HD)rMn*sy1c)*-
zbLfU5f<%bo#%e=I&=wZFi_G+2_kcP2OIL==zV4O5xB2<3J9mzpaWyEssKiYrgOdwT
zI(zW>&QNy`p{R<gJ!GQ^lqBg2ovcmTHk0w#2;%3{Fun@qN<942?CRA`(4w$?!bUnK
z0tB3VXz)-dPM^L96Aw73fm;j)%NM>zy#@{foQawv(9Cht5Wt-}cI^rr#z4`5utZaF
z814(SMxsx~E9;Ju_CzR0#Sm&=XgE=2g}lE$ajlY}RJ^GjIa7<jsP0OHzC=)g$93iP
zcZd9cH8yHG3vtKH_iB(O9_MWiX7sl7pDj(R*@<ZwiG{?O1B(|O6F84yD!tR`1aAuP
zuReY}#LsV!UI#eie-aO!eAD#I%+=-PnTtRnYYGYq5Xgo5<G)ztS!6RgI--ziQihNt
zfNdY!q;ECGPo=BtvWek^-^L{ty_pVw3P162Xqim>bd9!RrOXxotA`?5ZU!p{ddt%j
z5MYO`A(ULO9Zr{%{CjiUIoyD}$*r@5iu{4Q(t!iT+1X)5n-?!!$dq+YIeKMu2h-LG
zSSY0<Syx*ihQ8?!y+8?b;RTa}QRWmSEV5%ie_n-=U3HIE+*I{BvFmNgPHyXCPO&?s
z7JRj9X<UCB54@MerX-w#o@g1qU0x|Y9zqXf93!<9iPn$=xrAzjqx-{>lG6>rFX5et
zl5J(C{PoFox9rr^zHq2^k&1H{YtoBPrZ4_#G-ru)PA%UoEt75O?Zgv=7YRe<OIsUP
z2oe&~yRYu7`Wm^DjD096xhq6Vh43Id`*4XlMJ@eJNBSe0k|R5xo+^2fYk&U^31g|a
z7tdO$d31-mrY^fpg#Uy@nhcK(-TL}spIqJFgTSS+`&xw$=JeE*3A22+T!q$+=Ji8W
z0ZiCVlJ6MOyHs>eKCnAY3LU3N>9~aM-IG27WCYy`hWD$NUrz9awTwqZM`IpN@qSWR
zh`!<8(OU0n8=QY!^BD!pXP>Z>k#9Qk`B3-BJjDxNTtxPYv)Xry*b5*%KRfjkE+>iN
zVb`q-K}`Xb4Z6FuO3+!-zzxB1zHp)P&K(PkS2)+O<d`4HPPkS(XxU!oOn!_ix5GO#
z-Wi!11(Yim$Z|YFQzQAbI?P=boecL@ep1dQme^+j%Rh(@?)qVonf43xba@~4ei;hf
zWotvwF)6kvb*cP_-vYi9LbGH2zHW+0E)IM$7i%k!@X2Qb!UbXxLUs@nq>V`1zlRq7
z6EViK%S?Mdv`e>Z{-Oa0h|rK+%MvphQGaqrC_)Sg>dxc&(T$w9U!F}J*OwB#0qgB#
z{d~~a4v2{%iyf}!gM)A!mqMeyzC6nuDdNhx{r*{{k32oDB6uG2ox0F>MD%<-JxO9X
zAT`+BpE*O<csk<UyOxhEC$yryUCy!mN^BKz#k`qq6v~*Dpuo$M(oEWDKmO&2u}ySN
zO#+C_SiB|r$NwUg_Z+UeG&^wjb;6pVznj1{l?P_yzKo_`q>T{3A?3)^RlW66=XYW3
zTzlW{gwv~(Qef+ao1%w~XloPnjEuI)Wa+732M)3lYL?GmFloBpzJ;6tk21Co<gMWb
z!p95^osUCLK?F)Ln*i^ndWopXG;&m%dnqXbxAf5mKvdPNt+@Zzetbu1={v-R2n)O1
zY{3r`{;TA$xpVB(v$NW^i=Igec;qRMfJJxXjZ12Edvo(OF7ospRFygcS_cjsXg5oQ
zqc5TI=~Jg4fjdZ>M9F<=Ub!Nm1RM$>-I!JdLX5WNu768{X9{jZj=_)<I~V<w1<7;(
z4YA3Qj){(n+D$5kHViE=8vOix9q7s_|M=|??3fxG(-4x4-))C81&3h#=9cj!hHFI+
z1r^v*y&}r#Bz>*6^fHDcwmH%$%L1t(cp^+2O4eWUl)bNfeZzx!FidCsef#0lF4wN~
z5Edpo9*925N%u@?JZ~8g`H<~hoa7cG$&&>iO~bSE;BwK(WBT<Zs+!OD0KA7&>-Z1Y
zhH7Sy`Bnp-hYg5q2EGAo1n63j5{@bfUJWb`!Ze_cum-*0)Tt$%ED~%kV3hFAhAyFA
z^1HS0)7D4sdNgg}Ui`|+pJ8PIh_)q|YnUMOlKHT$x_l6M^==4QP@xIfIzvv3Lva0$
zaC&~!F{h+&rA3#=E^C-&r#Bl>P())nmL`4=-J$CuG*vLm`k1U(Mskitn4DODG80_K
zW;V&5laN2!w`&j2Hp9!SmJG40=JalFNc<Q1(VX4uxP(<@d`t}g?0F`GH8PE%>sEsP
z?-r}mq**#-!0<x4-anXH?4A1Ys7?3Pqid(~MhJJhxD`CPGT)r3_RT+4q6WcmBGYcI
zanHnmf)rg(97z{`>^`?iOxhLLn?<c_86|O@o3D|%T|f5b=J%vrExO?wqEX)pm)=F%
zG1p$|tuL*AX1S%tJ(KUvA}}MTNbi=@7#BUYc>Q<F#tS6nq=OR#X}uRMYxd&Rs6et8
z9AB5Ec99UxP0%9$9JP1gtK*J7_qwE6#1#@GFn*S7fvnEY&6$ZZzo`7cyOWDf1cn2n
zSwtlNz=2pQZa_h|^t-)3h5tVnU~gaCabFTKmRPno4wi+ij*rH{Oyl4PKxXIXI?5fm
z!ohLE6b?HlKlhiayGV4+w_vE<=73{u`nHY14nGk`5>K4=AuhsE@8N&1B^z!XgxVFh
zaelewab*thy{QUJFDf?}-8|M1^`)gHe8UGV^!R*5Ss9;)3HnZa5MMz5WMzH2T_c;c
zTDn`Sm@M;6@Yfg-y=K-%(3(fEnF6w-qdY!Os_v>+<MWb(gBzY2XMpY^Jrk${iR8DI
z4yyffk6It$e*jOHOZoCS;7Tp@EjyTg$t4v&wK?>aU?m~>c!D2}P(y#~*7uHFy?C7|
zO+Vh1P9s~>pgRHwnoH3;bYqDUNACm_Ar1~Gitl|}DZ|VblDg%t_@9bju$wNkdwaw}
z0u7Mi!^hpePPggLos!yFdXV?2+TNfvHGZLFJ@m=v#mby2lJ8YoSzhHOK7bn=>L~=g
zE2$8dT9o4C7@+5D5U2NqITk?G+N<_7o2h%#4@@_pw9}M!vOPS(3}WyhuH&%dLoWsM
zVqQo|VMT`hA96Ja2z#KUr*H6?XxA&SC7iOhMpwaZUx=|6WH2mV;bX%Pf&@5>;p{K9
zQS9#C9sc+cz0e_06Q^&ZN?Mej`T6S?B)f3B&FwD18lQ$6AGWi-eR5WoL~1AAU+`dE
z23Ndt%gbTUllmT)QF0Gw*|TSR#aJ1uOpE(Lo1NT)Ro?3*63HialLyy#q#d5Vz|2h=
zsd>2GPyEj3(NUu)#)F4J9nthmPVVN#*ak8Z^fOME;T6Nn%nZh<PC`5}cvI)xH@phG
ztyo>-jRMnrxpQW8XDb1rRE+GB5SxTcCcZx{v>;4UQoqITc`0<JR4~dfG+l_nu*xyb
zGb50CGR98*8edi@1-06w{?b`V<=&)Cfi%|m^7~aLMtzO5wiAs3Y>#JS#>;-ba#HV6
zV_8^ub+I*pBv#XN51p;<{|usu{(mUux+itPx;#;ZFc=GEjP>1*!C8>7sj~C*JZ{5I
zMoJ2>6o@gHx28pTqCc?01IIf3(5qmng^P`|UFG)bqBk&ZRoe*FZqE-%`ZazNt|jHY
zr>i3aGm`uMU#X@~gX09o;sH_7?>~OzxPR*EnyvnJ-x{T5OYE3Zi$UVs9urVkjEx%&
zG;t`fT(2#DrUx*f`R4;jrjU3u<^zN+^j5AKi&69HjGp)a;UQ<n($;?VgQnW+Ut2_?
zhkVOK&)tm{rmC;&ZMgbx1>rLzKTk+DfkbBIF5~Ou;7CFMUIorXOiT<`v;j+GTvzDs
z(}g>}&M2D}{O;DBDHF}8D!k|Qyo$rH{G0@p{~v4AbSVAR2CuJ@g@wxviMd^RB^s`;
zs^_qol4$f!pm6smYxi;3LEgyOf9g9vsar}kdf^;8CYR1Xee5?@M`LVEZI^UGDTRh$
zeTS~XmS*Gh!d%eCCTCtj0qOTaHaa^Ed9>a@hH#KSy9dG51@!l>H*fC!3-Q0g$kN(4
zKw5HoO`JB+D5sPcBrz@-m$)tI`$ta>OAVd7Y;4RRct1S5eU1RTj0nwaOEG!34Tndz
zF|ow3w&y9oJqZ8fhkSdNC6aSpAo;rc`M)Q>UsTczNAo1CsJP}=*cAMX%m5TxWW_p3
zo8IbPJ2ykLR`@zI^AV2#GJMm@!0I6DOHfz7?y>$;ap;Sc<Hw&|joWsPSn1fGVp$6D
z1f6`c7C4sO?Jyd#g9p)3rki;=IOHTIz615i!r0h&<S}{Ul&@e%qIJ#1qTp}0HTe9I
zO^7|_rS+wm*SCMYW+9AuE2fIHJ+Uk&W|ZvP7t_&nJKs|7{22eRXwzuJVbg?j5X-<C
zg|mpiA7zd^X=QlQ;i23ZN0$aeG&Py+`5QSPwXL>udT|-fl%DPAyTCY39nZp^?>{f3
z&jG?Pe4Q%bCzVm~O~<kS;@Y9yVpi8b3m-p{+^#9*RSKZI(jLmZnnVSEc{xxG<!Bd;
zoZ-Knj)bdKOa>2dXh~wS%Otg~$fU$BPVI5B7+WhKd3HZT-tHkeedol#TDH|00>d0#
z+}O+re92Mv5r2!;dTb1gn7{MZk@&G8fS1tG8|>=Bli$&CgpUCbqJ%^#oOYV6w#?BP
z(bLll@6k13K2f2yb<Al|FJ-^1EYZ?ohe${$G#=<YfB{z9yq)qDF-U_}+<*DU$*&|V
z2y+@vE=IF2A`<Pcf`n*Th&EiDNrCA}4{K~2sH@Jq1VK-L1OP22J|QM1CU#OSBq|pc
zLdr)?9ShxyNrg9{2ud1K_>iEcqJJ-W_z(*@dHEIbJ@&J+ya2+ae$=nOEx;&`7XaPT
zq|1QOL8zIhbsbcm5YQuq$D~m1{@&2sT}Bh_;o{P6b}>1wI5*c3+I#QmxB_?6rFReT
zzVPuic6AkFgUuX)fG4;>?O|md?C%FP8}|5&q+;mG{T|QvC=djtLJ$A50H07Z+wPjB
zgO;O4Xz~FK@+6wc1^s=$YmT;dMJR{vTMqGR>g+5+d{_M!|Fc1^^fg{3Jq}0iFN%<V
z)m4QYHGOz%dv)LQQZA<tre1X4k61kA8)|tKC|5%wQ!;PM9vA4MJGPj<_L+xy;08De
zu~^_uzc{5xc;H?Gk?;(oi-wC|$|rxfoW<3*@$J;n2+3*yl!%G(L0$EgiEmouRn^rm
z7n-TNndI>rV6Z-r<qo*q0=CFl_XHy)#h^p>N?k^V>k&<$8<#K3%S^%c5o_>_ja~!E
zah}7+k0+QH-(yzE8TvFVD#S|GI9TNG%W}@EWbExEN#i<2Tv{)gzl&Oe&;<0ENbM?E
zCopZXCH?yO`Zgm)k|7>KqWBl?+o!FpmCqlz-OB%(R|&|dj{uVgEi}$cB^-LEleZ~-
zwWforK4m{QJo4J&^Hfy9(vE|sZkHa2>h~IkEXbS*pyc2_qZHv)N=mpxW}*CwIq870
znHly7%#XIT?ksHoQW#D=6~6h65Spi>b|}`cg{Jz$sX1jbLZu*yMsdrsN10U`lk*1i
zv{54-TktoGMbTNbU7}o;mX3S1wzRV1`T2SLyKh(kUY+U9&+VgP*1;llk;uI1?EDzS
zmPsGp6}CQbZ4>lRLCqpR1_q9ujHeOj*Kf2A_blK%!ZBlWbC1pTqxVjmWV~|EzJZOE
z*5$xQZ4)ymr@WGqpJ08&glM7e96j1umdi%lT0-1Q!QmMh*tmlHX!wrsH@+IoGZw`L
z6RI^(Z;eGi6#jx$bDEUn6Wazj&Y%i`gMi+AtBbPibH}|-$&{6f+8#^Y>r!N^73#+v
ztvo%S^zbV7sDGHbXmHJx7p*)zRX}Kh5)Kas(0$x;h&aP;Qb=xkZ0v!pUPsb*8*x9>
zG2md2@psP6Jq3Y(aZyS}CRINlIxtn8@ka9DLW|XT@#d|<g>I6dtdT!ROikI6WHP9_
zBNe={hJ^`iJYE(q^lC*}HyqRQ+>4(iC`haP6}KC@jXG?kp6<T#>3wxqTbnbg5Xdqh
zt$V4(iFnFs)lf3dB~Un)xlw$YGF}m^ZT2VM_m|vz){mQ!k!VoWwliogFFBb4YXzXw
zqVKJ5+y9(v+Ew?OMdh!QerDO?g`mG&PA~Od<1&pFk?vqWUm(KA!b2YUT<P8~L{DQL
z=q-J!hDjayD445{I{8yTQu(>ouM`5DO348xQl8hD5CP!J9}h+8sb@E|1snFKoMQ&B
zCxXwuQK&%Agzn0B#KmW(r=PC&oucpipPgc6CMZRyNf?w+$nX(^M)x;p3kV`s*|hC<
zZr_$p44{jaaqksU%L@7X+Zlb<LvEH>Is6a1J15K&!Mm%iuKo*V?2^t3R$@3lYe8E#
z_npu!_kzjyyY6lwle_p-s(dDZ|4Ur~BKmT|E9fE)9RM+D-tv#<@=cG{3!-ECeR6mD
z5nnS9Jn~deHH@2P-6l@LqDEmFjTd7W<D{2mcBDl{?%X#ZGVKB2t*tH6_+m>BdQw-{
zjt}?X_EBQa$;E~2^kZ~YFJG#H?u{83KCAopzedl9U5aojZj0L5M6vlTPX1f^RB}@g
z05^X~rfJl(Q?Da4_%C=*V1JagX|&)`z6?r9reB1D;enTt033MLg4Qz4CRS!f^R5+O
z<mh?-Ub1c^izJgY6j6}?B~k}(y8f0NVSUc>(CzRuf4lBG7Lp;?>@To|rdoaf5edwy
zKQUa6?!5Mfu#=M$<_=aY*Fkd6?ZLVX^xiGw;(km^2-s+IfO#mS*ZuvMGNlzKo4zSE
zUu^%T=@dDA{L|~#9=NU{5kg~^C)@)tS6ti^{);f(2^s)f20RJXd&d<naNWNf&*!(a
zJfSbOa#tHm0Iaj6Wn`#gwKU^D+X!tN9TrH=%g>jZ4HCbjeC7A#_+k>3aM}Xz4k`hi
z_TS4w@3zKEY>dycYGySxTh`S?<ozSDt1It4PIz+JyCTx^6EekLi@Bi0K5+m&0YMVV
z_rt!ivN4Vnx#<Q_Vcd78!C(S&)j43xXv-Vwu1S>A(Bz7GV4IVux{{`L@NmJJcx3X*
zK7uT5Iw=9kOz6-P^T+o&Dk*gIl5dX$?mERCaC2>Czu21prG2+MTJF+w$H$r01vBrB
z-y~e-i7r%~)}^m6FXes5qiw~6qQisOIqa{m-qa3M8XMmi?s#+4e~WtfAw^cKyFKCk
zXNnTKf$4D5d~&|H)A0BLNCX|~bKaI7R+?jVf$L@8guIVYmRB9Wgt-q8uh*BFlOgU(
zDqW74Pf;&iTwSx&L+bPLA}E*P&IMy6wDSuq2fUYSTceOrWCG0w==kJuf#A%6148u^
z9VF4NOaIL1aO^|xRPV^LwC=(&^ZtXKgM=z<K|9axpr9D7@(C|+2c*53Gnbr@ekF3_
zFvkp#xsEvYKY=}VxeRt(bkUPtluW{iDVgW!`#A9aJp;G~V0HsW?vqXI0FM~Af#x`+
zuZ8e1Y0GUX(s{x070xb@vqO$JrXMft^Rl&Db3vebdI-3DP5X_C`|qn<`3+--xDFYh
z>4ii~B*1n^l5op;GZx+MP!3`MzCHrC3BXbTKWTF!y3F<k9eIdtSRU71)j)GG7WzB2
z3QZA#yO?#ZE;LbKXEuDnw6CO<n%YyYYSnT3(8dG>!4l($i6@_skQ1EqQAOW$c4CGc
z_f{05m4*@@G$F{zWE_$<9mc-JaThPN9wC%%D&HM)8oDAp+ZG5_DfsmyMBNqoZT0)v
z2@6dVTC10TbEv6O6J!n5Wkw~>{Pt@alyLZDZX>4s!!RhA?(|DaYU)2rTu<-$`S^@4
z`a8#OzPZ=lr*<cnpc;Glw-ph}hrvf|bDf(3Z6rJWUfMOKJz!wM5bk6B)mm8C=;!14
z!de}a?*A;RuQ7NDs>)-kr26;FfA<+{x+9zf<FnpE>|VjK;JxmOgbJKBp(45m@<KDX
zxreZHkHW};j{$SRE&Y?Wwnk5jA~o%Ck&;+1)S^Q~z8{0Ldhh4}2*&sBmGrnpXpZBB
z(sE_HWq=|CLV&>b)S^EoYg_^FdW8!mRXO|w=fM66!t)#e&vOmFH2L!x!PzGPmLd}+
z^GyOYHlMD>eFfSmWO(GOf_&!HpP%ILdyyi-ENgJ^haai?69L;7AgeMa5%_k;=;fr$
zymzRC^}=oa{FJV#A2QbKqZL?HYh9tcqwygz>*&+YVV8AoyY*UVmV$%Bf7`CBek8yM
z1#JM{!OASC41o&+G|KTk+IJC)>F{tZTp^JBfHH!$4J@|+Z_n$6&Txh%e|8ZfjcXkd
zS`r{3tKR!+)e{CZ#4s%ZpAQS)_+wNJ&eI4FlNjt6dKn4ykmxS=FC<%pLeS@-z*)~d
zm$xYiXbs2U+H%)I_3LrpViG=VUOH3uf}^K{PR;yp<2vN<E}&NtX*&mIf>$Z(Hr_MP
zJ+7j&t|tw3<&~|lX65IJYkFZZ1K=FIx2%1qg+4&lZhwCcps3qyjY*lM7`Ped&!gG+
zBEapIuAtFCp5kfDjMCgT?v3@cnho2j;{M&^Ur^i(3j0)LcuU1NhHHHHPix!HD2t*p
zSGpL27O$%dJb>g*7cDh4Q;hcbxM14Lt;FmXFBD(`mfrR8++{Pfo1HeFFm)YHYSY~;
zb3JdwYyMNm1<9Jq&7T>ickViiZN#@y$5EwFa!Juo@?1hW^&JQL4A;DxaXrJ16f$dt
zps08EIRtoygj;Hi9`x7`JZ5*|KW%Hf4YT)S`KBy8MXcY;2AuqEeyw0;eSIB6^;MRp
z!NC_rMKd;P*W!|^2lw;+3=0o$fzc_-@9IWGXA|2uRVM?_J!)(01h<U)j0uxp!?u4b
zu1)J`|D~sKG=W?!)q3$g9rNJflBSHrWVRdWj0~r8Dt3;Z(Mfd*efei)1?c7!IQ(Z+
zB1%t4xvI>Gne1(kp?M1V&P{zoqtP2zm>9m3(@}rXzqrg{;r93}1p)iJozyHg)xLYD
zbmvcGIedH6)U^C_sEk*xgmR^^sAR0dWFR6wEBE0OXIy_o9(yI7LdFz$kT5|NNM?AV
zliP!V4t~U6AsYoihW{4vcGH^g*u{$HgMLq4#*kf#K5zUG#QIzX@8QOL5?P5bQsb6B
z<oDH8W2JM-_vHRt^$Lpn_+TiH=gzl!1J9AH;f3m9=r9mmo>71!u`I_)%O;_g<(2eF
zG8BGmvX-z5fW=}%H63pxfehddV$)xlgLn5khIl9MgR%v66bxN#3x!Idp@Arhdykyv
z=Lb{`+<pU=?F^1_VISu|Te^&$S@|b_J2{K$Pfz!L>=1fDy~sCB&JrSv*R2G?i5rQG
zZ9djV&G=!GN!0ql07Qty^lfy$Yw>)0Cnv*Q676>Hd#c^dCd4|6Rt#&If7a^F*#Fr<
z>&m0(J=Q6brQ%(`ZF@&*fb5*SKF0&&u$+g0=kd>^7|O6|MXJESz-{*{<z;1-AQXRX
zi+VEwqD*5_0LRttgoyW~y=NxP$Grl}|CJw3_3te^IZ6kV1z0)(410e7u0$EuU_$RV
z>M|9cUjk2GFPvaG{_R=;KKet6BX)Cz(@wD+E_UyZKK@MME&+t_evq#oFO)ioaB{>x
zi__L|`$Sa!P`?9L4S@j4O*bSDXAF)VtCa6(xZiWuHZx+Gerz!@$!g#)Oj00tfILC7
zfmLMRzRtlxzm_Ok!IQta)q*VZO-t_HIGspW|7vQioPEK!add@fLkn#8<%H61e1Ni?
zx+XUvyM~<?=0yT*xqYgKAqTH50ZLkAw)^j4bh%hCLE~2NEH=rW{G=gAys)5P_|kBn
z?0I{8DHtyUIDpe+iTPPfEyki%Hl8qE(DDU+1%nanY-D6A@uPoK+TyqYVrJGc#2<Un
zs}ee9tbu>~p#t2xbrL8Z$ez(HK+viKEg)N`dod&ow*PP2@98G)vK*#v*xg9lSvz`_
z+G@AG685RK0cECp4yZYL19CeznW$xcV%8ZAJ-w^I$?)c6@Hruw!Z(#UXpcxLDk4@U
ztPWQSnu=los861}{Y?BKqDvrrK^%Nh?e|I(TPW2I;I2&*i!@JjUtOwv{v1wUF6EZE
z9RAZ{8Z+xW)ur0*`1Z%07~(T|L{(+UL6#@@PK*3_$Sz^hxe-m+p<wp|`?|$fXH=BP
zVnv#|NZ#B71?Jzo!};wn7CM8XPHYM<CKNoT3Tv5Oy2(lQ@((dl95V#|9m75N-r__y
z6Jp8km=?vw$6uYvzcZqq-&NE)x|?x~)LkODvtzu=xM=)aT)s~`ed0r5<VLYog-G!Y
zP;2icCs;)x*Z88&QgpIx1Qel|1fpBgk)w`4Eh8tosxl6~eH8oU(BJ5KQ4PAu!mkFH
zF{7IQm9$5p_x7p<?UosB1ho-^vhwsYMtoqNY6uY}QUtes1xs{ukHU_tX4y(?0Hc{<
zz`Agn_d5riEx<QB<!+=z@uxh0$D`rGZu7Hj)u%O@rfz6B#xU9^n-KC@W<lTO5Q~v?
z#pnG}pPb4nD;*#GMGsBin5`8JZs|K#J(v10xk`p{vS;Ko&TAW7N|WAxej)IHBf*G|
zkR0qp+9@0d9T#f$285K5;`cZ^PmR0`d~xn$^W&tW3LEt@Y3d|uTJzuQgV87x3Xb37
z;Nek2@;DHEiIEuE3ybfyfm0m4Ho?BOCcC~)()fuhtMrIH_x<7M=i(~TSJ8;sHFYF3
zIBZ!<Dkv1Xuj`lp)?XYmhj0z!Me1}6W<;opdDMawUzpyvKBU<G?%ljs$iL4x>8Lp|
ztpd1R%P&7qo?Ur!lE8)~%8?@!R(4r+QL#I((}#uA{`iz+MfZ&SmjG8lK;tFB_p}{n
znl?WhTU!TCy}kwS*SOy=k$3qAqA567jwD#_rZA$o_-gTj{O?E3uq3-WSKi_BPX4mx
ziwAu(dao30^xlBWEiLWqf4K-uZkWax^cO-iXlNJ@VaV?&p*p9^k9brf?jiUZ@$wA~
zS@sQzTy#a8IQoWqdT!^=bt5$eM&j@s1W0kb?`fFw%fkl`7M;cK2XPp*=iFB+5DJ0O
zdi&O`%}iM~tI5RUp~-ZIdP$<Po0XA81JY>AI5Z@Q+{(|9)`I5`J6JQGf4ogUE1g$;
z9obJT8=2e;{++N;3ML78LoAX~AO!o;L;i1oR!M2rZR3x?))p=C$YC7{+;UhxElcRo
zRI&<3x?%47ejG8Q@#G^sRMgaguwH^#-S4F?S!m9~#zrYDf2e6`f6mSl$2in-y$Uv{
z=Kp{>34xirtk>}XWr9C#zen-`A6fQ0vF`;U^~nf0tNRp~Q_tw$ROdQxJerWB^xX}7
z(0X8PG(Pv!(!hELk2B3TS7EAsj1GVR=KHtzRXKmr{$Vtgj>t_}X>Mzqiex>*_Jp?*
znoF#w^6ri-XN|v!rnstP>N%E9_WdM3<{>`5&?|Ltisfol=aFIdVm|fteV?BH9#lhO
zK_t@T*h!Abn8{Aen&CEXSow4|Wc%MJyW{@hABPd|g{J(ri~srR<P&K;30Tl(7J|%q
zSEeIPER<)-x|iKs@h-AD#*@in+cH!GFM|+@KK#|6pNTyxJHS@Gou2*?3s6r_HNX{T
z&(5MOgLQBt2YCWfFHS-go?lRqqMTIV4o(Nw=<rcDJ*GV*!IP-q{F*uH-rkqC+T-sV
z<#PWM%Cl-*ytwrJs{j_3ZEa*em04N5M^DpzI2p$q;u?JJMK~xv_wV!U-USET-rE$7
zuV3HTFsyeoJ==!D8mZYXd}8$OE#^z{y(IGb$-5?4bG_~&MS&9{*HjV%8$%cG-Xs8U
z-QLmAgy)5zBvDE9<75N$k<a`B*J@)?nCYpisCamIz|^55o^#;L=I6tGvPD+>&KC%%
zmxn_S-#4=nzXSR*CnrlRER9O~X2itAUbV#E<&HU>&eAfTKr?w{m14u&U~N7ew5V@o
zSXF^X0?hT@yBRfgg*7D|6HfWZA@eU+t89Lu9uo`Skx|^dZES;0QiJ;!J`@rV`tDM2
z7cQJ{AJ_s%mz9)UKwh@tftmLf$pxaj9x!Rf=?U&$S|Q0*JL{G)Ku`KA<IQ(Tg0^(|
z<Hs}_mX>TfCKPXbRwEr9#*&&^zp@d@8u8@p>p+OeL!B4fjrd#1vhRyN%6-XI9!y92
z<$XzOzCh5e$N!f4j3D?8-dOC|ZYrS2D8RxJ250G4J|GK1p~S>cvMEBH2g_pEspAEV
zL~Sar?3xoJ;Vaouc)|XB!bB!{H3{$w#ixu1MzvnYlPv#THL`!}FL+?+UI&RCdY$cX
zdM&1{@CDc;8ycRjaOy-(g90~C#Xd2ybD&5GWd^|`JVtx>&&1OEyaE$UOrgB;jsu*c
z0GL4hDJVnt0Fg3^joMQ(Wea=r$xszL6K;8KT@!8$c~F#7j3FZ(zB^zd&fjmW6^Y`~
z02UM+ytN}FZIOYAprHKp5^b`=ha)%D??y5l+XFA@$GC)_Jb{}R1{}anLLcmPL4!9)
zljH~ExS|3$D27kKm+-hniI?d;Ky!IBG>xEj<;SE$&=$4mjT)pbT%I3+FUBuUig=bz
zg@t2VjcoGNT@&S(*tG+e?+uXFEinv)M4@X=&<uq)73A3u`+qd-b@*pXae8*}OQMAM
z*t6UvB1VAiFxfMKX|5wV_2}I+wX~MYGb^wBKNsMFDGhvpZ^XuSTEqKu&#s-F&9e#*
zEUm3&?pFv=lc~nYhiSl2ue8SvZwC-Z{bR=ftsd1Sr=a*YHPs`FC+jo>d_fP>)7c?5
zUTJYChvA941UOT$XBO_fmi%P*l3N*KMWh_the>|Q22ikR<r_2i_w@myaTzOuxB=4r
zpI^WB;-mQZaR#oxc&2S_OC{1An^mueRF=nWfCvdnSMX@N^jAJja`3ra<c^r!{7+?m
z=kNtBWMm?evg#by70>Im{IShH{yoTDTsK)qTpq^k7q$)WRFo(U&+O&Gz~`@H<P
zQN-dzhsfT&a<Z~Pm{>7J!u&=k7X6jqui>LLsrMqipB~nt01A#v9u6BsLD_gBHNcqS
zcx}4jbw(TU=DvSDA7z~KV7mV1fYlV)pM6>HvhWgdOla53MBpibJ`@lmZlKpr(%5B!
zP>7Zr#wJ-PdN-FzK2HAlQG-;KT-|1{&WS8<^{vH3-pZSW7Z_)#t*LJ+(5JlzIVhz-
z>h}Z4eSXc&EnRL^ab&y`ztf=u{SYY+otmn)%1jZ(!cy?vw?DrC)IgdNjnbExq0@70
zmWd1B@9hbzydvr5E4K@9u!@3n<7G*J?A5`WN?PgQjsbeM-Mk*c3oaez1zAIw8ekTO
zOAY#Wh-^?&-Fx%KmlJ%eRWJZAO)->z2RaLXL{!|2K)poPTpokIrDtacQ4pyP6qN24
zOV-nCA_Csuf8}9<0-I&B(+dknM#jT^7m;y*?G^HWPM;JKkm9EjL|dC)I)ZIgMa6Eg
zZ2CQ(<t@AdHS@p$YOMx0&<6@A!)48+PU@3}HI51QxK=EOJK-ZJr{4F+;f%=T=hEp0
zqRi4X?2F`%?ZAJ~|4Hv)3%zk;*MGLT29%N+1^7g<211H6*cphq!<C0pj4wO|Ubg)~
zLKiPzPU*Yo<0IukDCqZqQwM;JmRE+F;v8CcQYr;0v@{)ZNp@Ge36pkXyGAU(jSl4q
zwXBEp8CL6{oLp~nfNv}=BD@XK7bf9*^ykkX85tSZ`h-I!Z1Z?})19j<DKpxEHW3{e
zd(@rL6T+~ANFWW_3Ighac><zK%rux?OK)o&;pEU`NYZq<y3du+dLzg`A)LP$#&>x9
zj>>uBAT5xp%4dR){Su~$6CH`AL-DTDjyj}w&+%J~naPhF3ZpyJ+|p8Lkp8<k!J*Z-
z$I)riNrHm8-~Nw-3L99=OWrCfJG(~O(EJgv3Ur8xTa4SzRl%D9FtgLTiq#{mh_{>M
z$%wRrd-ec|iT;j2cU)eE#s86%V?L5XV)q}}nj|xFJCN<fi_kWQ#lIV`S^9J5Cvu;W
zHLntY;{M?jnri&?DFAebknibfcBBk=5vi$vULPn0o#n-|XILYk9v)2<*3s5ZB9S#L
z1Q%fFdGq^L($Lg{_wPp!CJOA`tJ4rQQB-&zxl_;)7pq6S+I62U=_0*bw9=tNs-T$x
z@bj%6Zf<sfrv*k&BCQc#JY7>DPhf$7N8)zZ6ueP3tn;F5NbD%HoCtwuujfAy^?)oW
zchv$%)DUSvY+elD4$XnvO~JqvYQ<Q_{2*uNktZ72%{lk<Xd>?j)^UxUi+$`H<U_*2
z%_44NeBy*)vR?a@iLt)13fL(<_B}U5&qDoop4QxQHazbJTRdy7qTjE($fu!hPB<B5
zKmOyN@#iSAZ_i+Z=>MzwTiW3AMD+LvRv7p(_jm`NE;2(TrA)#o_6s;0+FwrP_DGIr
zm6ROZ$Cod9!^!^o0^zTi%URe0YHMo;2dj13phP1fhhYWknJoA7B#q<V=o`{j{4xqq
zP2o-N=l22&$4)1-%&2boYRI5QAdrIRFy9xuhFj!<J6iN&uM}hqH8<zLRjRhu8vA~E
z`INhqgmOy*gi+M#g4ccW<gFOOKd)x=#Cam7yue5EP1&KL9t^p4u&>nFsoe68gzc}H
z8L72POttlqsZnLNG(4GMM(=W}^CLwizHIGF4Y-G^4#39Md)MSD$=&_Qt4~&$(4(_U
zOJj5VhXx>!6|*+bzkS$9{`v(9ERYw|qNl~h2ZqR$x1*>?2oG|7wv=!u`}iypBXq(2
zqqi-@tH&sQ?`_+p9YL=;?8u5{Zp);diaeR4O%K`+O@PXHCvXUe(Y3R)n2lFfS9yyT
zntOYFAq^luXzU~|{wVyEqYw>Qk}WL(Y&YGH64!7G0cYe=4M3^37%g;!bqW6XexugZ
z=}cpziGL)<#$<%g=4_{;DgD>{54zMP{3s~E#fr)ZP9!|9BQ^P%cY!5Du*~HAEO?0R
z!kGE|%y+h!S!vNv!nRfj1ep=|y}W$zzyTRP?s;-hiXbGVoMJ(MG7F0^ODu{9N+H&7
zz?PR!?xF(o|H+w`pTMg69SHh8Kqj!Zw8fImxItM*w6OH1WyI#A($a6f)ew62%+KBF
zn!<n#4ik92LP9$P!@W=ERYbRpWBXSAaqj;WPazfuD#7lo=X;Ly%M+39-52-Yx{)LL
zwcW$h6VAFiyHe8pq$+k0K&QdNQi$P|*I`?CJAWDjHTaIlT|Z}a>eLS=I~5*`>qY{}
z-_PzjWoenzEpqt8i9VRtEqT@9-2lHIk&?icoAp3$fZ>n4tSmAZ$#?FAkOmEQk=duA
zp@+7wFT1{1AV5gaB1wu&3h-_mg2J;A0()k?-(|8UUh{u^FES#@l^G3H7E&Mdtap+&
z!EKIsH4`t-Nx3(jXTwVy5FSpnMg8f$1|Mi5Yyt6FS6xnz8<9@<x~3-NbhBfNw7f_u
ze=R9c5}`fL?(Rn;td36Xk7Cc1p&!M96Qmz}K|p~U9N#iLY=dp*>q|%XgqrO~pIU5Q
zyouzcql<Eh;ak>>k<Xqjqi{pBaqiq>!0=X&dSn4Q9!%E52M5*e6}l9wI<17{_rhe7
z@Ao(HwUTZ7(-f<>LJNBc^`D+TaeF5@>@#qH(*9;(rGT+bH^!XU83)qh&cq7Ew!-OX
zKtN4!U-uHD3N4w<xP4+&LRiYv;=O50(go2iU5vXAiL>Nr(E+@|i~scCeG>pgHYC^~
za!o`?NRn1{oiDY%WT(IpQT}^8QG;H4e5IwRvfhp2ci}z6My=JMJdcxrzXJP;VT27|
znl%@G*){GBIW2MXf=aOYC53zBp~x>*@3O<U*e;!4xFGLKbBdcoDb)H{?PvtXGh9X&
zJ`Vj+WSQA_Q#><nr&qR->d>H$2BM&J=wbdjSMp+nbYXj%#wq&rPe~b4Sz3}o#eX|#
zE{1TN?{kHKm~5=*P<w37fO@EeI2est%*6@89?%DV{;UicplHVlE35RZEF;oG$dAn^
zh*2RN4M~+k6Nz2hf;EE0hsYTM;%NBhSanRW(*xrR)m?kiSZMc^z(A&zvrrA7wi@V$
z=ZNA+nsQR}iHbhNG6dm%;9eIM9o>HmroGUQ<4#9Q38W4Df}T<~_+?$7kR2)w2ql3b
z04^5b!-xpXBJ{b*V&((+2Twt9aTlh?ci;RV4!C?-`nR_5#(bzA`IqCDZxzgp-%PU<
zb9wZNwr&wph~V~kJS9w$4};tY^3>&y3tGb0k9=7mA<t^ofLTi0SGWz~VtiCkaA!Lv
zM1}nMnd!1>CZl-@Lq|+B1rFX!TQ>eMB{_3-xj$^gnP>gOsjoqu-yB9i9nPX=!F*1+
z*m$==5b`5+^^lFVMe<sG0|OOU-X%MIX|{}8Zk3^U&@)~{QRdwFK=gQ?1WSi~&vE#(
z!rvoxWOZ~G-W+&BLHQNVTJ|frrKI8vu04V<=9l&0>lzMN99_No5_~E(?iMSOlsm>n
z@jpr3Zay#}wWfY7=@Q)j?d#&dvMEYLsbTYS+Qg*koB*%cfb7@tTMA^2KfCX@2%hvE
zB5!58Qt$rkRL&JdWFy$|@(W%oNO7QX0?nvn0;nrk0_pBM|12!PjftJ7ns_&Pko$Jy
zV+CCt787`Vu8$IMWC55xQg4`?o`(7#crX#ZwUvdSCncp9hT=bdtQQyL0h9nz?j+7P
zV2doQSNyOx8SX#Z|Ni}h9yiKMPVVlVW>KhUDL+Jg%_24g*Q1s0C4A76QtoL;Lmd&4
z7o58jd?tC$W9^pfsSM)cHd~Uf@zr_ZWW6Oh9ok@th!9_IZ##!m_m0D1o(b(57ni|n
z3h-vI^T9?Lf*}|e?~24~4a$yIp1HTBd<0c8NiZnV4Y0YT2|g?o>iUG!YHxClLKH#p
zu0ZZ(I!7_qKe;lDcEtT!=P&gGz!Fv=>P31J@Dqegp$pu-TiR<xg(BMCdHV$|U34YD
zHo!^sJ~z!DmAMRPxF?!N3w92z$PqTCBtjTtv^}2H6c$FmDkFvxAQKrZUazpS6YK8+
zKwUuap!pFzO^BjEPP2ip!Rip!<){q=%7fXaTG^yo)U5oUoRhky5a;;u`FU$|^8q+$
z9d$v3W-<rK*V5x^kh_l|yQHw9TxH}HmHbg$tKt;nExxXmg5w_1)6bs+wMb5|!|B>K
zKL$Ew6c#(eMNYtafOd}W(I7UQFX>^&iNOiq%B>mzT2NVi{h7i(s{}5FQ@aRueGc96
z?QbU(@5ScbZ7KoJjTZ!h(kG^XWW~db4T;<E@q@`s<+7Y657UQ7oYI0Bnq4Yg5wr~k
zJ&HT*ZWt&5lvsPcL`0Vrv%uAHam}-=zaPm$Gz`!nXu02FdFMJ1L2Ut()3uXk^4L92
z+Bw}G2b09$&y3Bhfbr>R`5M0({rvriQ;hc{I=Sro0bE(uu%W_@^54l`*uUf&(H@gA
zpbn2FJEi1PL|JhLjK;4qhBj4#OAegJWQHs?24dGQ`*Tp!c*zq&gWtO`RF9i4UP^nh
zcmiCF+=H#Ax8Sm@3SX2MfXwk33c!+GoSYcE$TU;nuX9$GL*PK`j{TtE<2VoR!99^j
z64@z*mKqZRuuRN*K%p!w2BCiRHN@<ID+v>odj@E~;t~>rMix++N~b4;hK52I2sQ!U
zab(b7fQ9uOBk9o+a}+XA5m9MzFeKM?a>o>U?Ea&^lvzGbzLCU6YVaRFv}?*YWk-*M
zB)F9V$*;bAc?tR4|59H7++ls89hxq=OY{c(&d95Eazu<CY|9GM_o5~H{!fW1$vRm^
zn*QwsVj7OcX@@39vSq#*DYI{ZdCTI@{;gi!$LW#f_pv(*BKsF|*g^v2e60I_&$^zy
zMzu;ql(rdW%9o2iz8BxW+SJ0c$zij<)w;uYZ#xq&|I9K!=~bSUAw}NL_3cw#ccPi>
zfD9AeV2P^>2L%_M2hXTYf+2<@^*U1bf`fiu*VMEZl<xV*BYuB>PXWgnUR3>QC)0YY
z>U4q}Z}u~4*iOB0-{<7)EO&X%5>CHBvhLrfYXrLtRn~wJ{3f{Inue>NW7*rLd-&H_
z9A78f^iBepaI%J<tpucKG>?6F3fG0>g)MK$?{;-O)@$)A`T!mS!SkC~oLW^H#l2ul
zQ1KZ#IgbT6=%oc%9K8o;CNv-==J3n_`mz=j3?2a-Ep&(yiWb8L0%SxCsb&Ob9UWa=
zuu_qpR|1kO<}tX$Mam$kc(dRx40wP1@G#XV;PnDX1l}O%1rQYYd~NOVdXD?7x7QT3
z3?M9^pMr&ry(Rt=J2X6qqd#ldw9v9TPJEr6?dlH2Wf!5)pG85$IuE#bdD+4|I;d^E
zF9)5EpxG<7&@aa+*sAyHMWvQ0JNXL5``{bb&u;<@SpNr@XRk#ff1`Kt6c~B18jX^r
z!BvY62sB+#VY7|DPfeYKD->E>_#YZ?tY%_gz&0uY-D=PTjlY^^=ttNS&wp~GU^{eT
z)7ajhf~~UOtjepIyYXV*Mm64%a?dX{qdw8VFM?-FUf`@$Y_e@GvTOeh%P}^Vd9U~k
z|Bgf+jcj9pNN_CZ4M1ONZeoH*dU|%2lb!u2z}bBWOqiq(_plO((A#oh!5(29G*)aD
z65lj#m+XkuY;dtF{~*+q;%AHqPiXTGT2)K}_W|$Gx4I5$vzS9e=bi)Iz#8jL*CuQe
z#rNzta-!+vB{4p`*sGpB;IJqpc;g*&q=tg5ADUo1#Zb3n&`6!kTT)foo=egb0^z2c
z+0*Wf2T=^q-sDhz8+&8BrfVo;T!(yjXjr8#j@+yd{_y;o&UmtWS$X5P*&d<80sBn7
zzWS3Za{YpDnQDz%EtT-FD)=l8RjMkr`q15?rE4{ff6OZ1?jf(IS{gPTrS{)t#RWTW
zxD~WH_(af;gpiWFs56`Wyx7d2ck3cH9JTOjchINacjFZH%UhfOY_~-2o?9F&TAQQ^
ze%o}%V&O$A|G!ce$1X-f8lD@yjt4LT!`>7g5A8gJP`C+v&yI#@53I1D=`lNJb)HQ^
zis!HbU0@d5ob8<hi$CrtCTD+wmpt&3PJt6LW_ts46^}dFZ67*k>pm%|_HQRaK#<~s
zdP^UZ)A=I#`xWG&!OLT1CK?W!WTbHgGf>!L+n;iguZC3HCF$Ka8P@1GF3_=Sw!z^W
z(7JCbI3g9~(|`VQ(H#*^MPImANC*yRXR5rzBt1~U0l`IVLKz8H$M>#rNa%>s5FkpH
z1-!;4Cz+X;QUTJK5W7l{kkBMT2o)3S@8TltuG`twg|WIJLsdxD5+52Sbl6Pj$qs%0
zY5QKV@zozI@jLLZDYtx#MT2mXr-uiJ^5w@c6hNN{XbKe#tR*O^fuwI)cU2oyak_bU
z^lmTD3<^{sy#D`qdJlLk`}ckPvPVL)vXhX+O=j6EBpO1pl8}TXB%4B#qC!YWlFXD5
zSxJ(VQG}3WkFrC4$NhZ%-~au3UeD`!B;&rW>wKT*aUKIueXEn_Mm!v;-?4u=HRe#y
z&t_FXK{z?>NN*CSZM`9R7kRkn3aVZrz&+Hm>Ds#XTX1AHW(VsZ8=_IvadvYHgcpK1
zqhMY`-AU2ID$LV@u}!rWYs}XtW@~r3S}Xjte!in<>fGqT<?+*4=i#o!NdHe}6Jcg7
zZzFMso6%<r&(2h=)bvu7f;jLNyea)Lw!S=~Ys3=qg2+0gba`{1A-Hv9rno|mJlv?r
z+F|93dg|jt9!lhbiv^!D-%VJ4r=_7@bVeBXUPvG8Ik_+7_G*1Fg{{o}$AZZrdCfv)
z@>{>W9NY*94Yho>PHq03N0_JJ%RqV96ZZ&cc{8h9Y91QD6TgVH9I%01tB$k?@kGQ2
zsie_*XHALadEg>ZkFg|%Sr=%`QdVUeM%DVeyJqL?MKURHY(c7s6A_p>NYI7duFMe#
zu@z%y1XPw0)CIBY@#Du`751yC*;GF?{7(>oGZ0N7u=^VVJ0<QK224n^C16emZ58mv
z?CciPLxEyAm|vEbKJRvYd%&!JBTkv$GX*0HL{n?D=s2V9aUfP@{``rBt1oCMDaxz1
zIUcE|G6F+0PYI4*Sp6jNA(s{I2hGEO_ksnKhN7`UMc=dVjnB36J$DVyKyr+2zrMac
z(k%dPUWfQ=3#Dss*@Z{+1sGlssiyQia8-!bP7W&n{k-x7l}3gSctLj!8-_g%9CA&9
zVKN1-s+Ukwvswyqx{fXWWI2Nm(SGQ3=ynD7@BR>;APe{`ixfL7YD$_|+1cljq8o(7
zDd=qAVh;;xyfN66f$V@2RPGRNN)a)!H06tri;LSZ_hCH4E_b{m2X5JjQ8fl*?(?wX
zoY!mbDX>US7Set9_tiKX;d3s-YwKXW7{vfMjFx$3nV->WAa?6|2E<Y5P_QS%K_z}2
z@T`52MbP?$ErrTO!aXR~TX}{3r<r}z{<5P?=PtUQa9MjZY)Bw#;XT?<JVWw4hb~=O
zAlo3Oq&%AuTM^U6LKc3?QZ|+PznBz~RdLW^#dyC<8k$dOSdozfCBb#l5BXU;M>30x
zEQm{=Jn*Pr=<<MQU0c(#-R665p<fpS`6hP1^HwA7>tKH9?R+~*fOm_NKZbdu(!rmF
z?w|UVe*S*5fEPjeFD0AfBw4y|mh$iaex<?tu>m*3bB(``HA1c(*V~pwWutfE>g&lr
zVRa{Ygi3CR4%`Z7;;ZC$-~av3t)0@{nC`y_EG;z}xVbrWGn^`^?3{~GFP_G`v;JV_
z^2f^$b`ZqDi<|;VAVa~YK7~omZ<GlY@knjqNZ>m#k-EDf^lww_F1v90?Ae@JN^^C(
z*y)hwKNN((_s!L7n^L$bV<>3F20Nt(;>0vh2V-X1%&Xw5T2epgyV&idzCM5KRi9ZI
zk6T_auYyJ;6P!a}z{?*e62GHW;^KE}cuqOIso7txa<ED{n5Ez!<(I4wcm;!A3sp7o
z@YKMw)9ZhZ+Q|&`6%5q#w6^<B5vB@M3C-3aPpE>A=bBMySXVD)txJ583e^|MxWeXp
zwPy;2Fe7^k$KFi=)$4zv2v!~*fQuu)epyIz#y9B{&=9QA4H%c+1)`HtODkv}!ynw0
zt)V;`--M<ZH!hMJkRg0y@+&5eU5mTr<uCdACO)v&o^bcy!%9Co+=Sf^HuoY1-mtH6
za9Cblg@O$sdADv2c)tSW9R)*Iw_zp1L@ELKF%R)9y?WKNyF9wQ@FJTXXEcqpd__Z~
zj&Phv&SF57jeBVi4AxfsUpF}vTjl{P#NRrTtOztx1DO#E-?VjPgoQI;X#Y3CZR1AF
zkl@!4zuIOs7N42{5fn%8&9e@g``Wkf4MY7Q(<I%i7QVo61Al<61lbr369nLi{>N^8
zbb^7tWKUSf=PPl&dndVQwhR6n86k)(E;Sdt#YKM8DfMkHVrQZq0%I@;Co9R8ZzPY2
zIVAcuaC&5z&DMlajg*vHUB|hwh|fWg+xZ={b!xuz+Fi#s>uvf8^X9n^2sfSg_x|Bo
z{%^Ta9bHgG%FXEF!P{vyJJdt=bPsrA53?Joy2{TkbeCTg3#;`lXR~>#lFOH!FZf`M
zo_KhG;hXME#PXab5u6)6IF{<vB~3&!gjB234~E!Xta*E2aHZ;#96f(#VK&c873Q>5
zLLk-$;U?0D3a+qTvFWMCmO|#U$$_Is*#g{^MuP-P)&aYj+Xlev1S>PFQRe>q0e}1U
zIveBFWQFsV?*q%N^3kMTU;p8ugslQ(wE&K>Q3n3gVBhWf68ltaGupcg!0{R!JVhIZ
zgg32(UsS>1b-l1`8JYW<cd}Hr^+22hI%peK&gkP-Rv#Q>fwo#niP6{P8V~twl3=GM
zEB3AF<o?!u^?sGw<PayajgRkxeG%#1qlD$T6@R|~<*?d^|FV37k4zj>jBCu!+-m2c
zpnJXc!Dr`3ZoF|Ks*gkg=AV$fcVJ2_Fa!7h_O$HJ&WJ$+l-lB0Z&MT=PE7zwYJTCI
z#zHzQMlY<S)U}&JFHXc-hAq>_OYBUM#d1g8OXU!aU~@u@{$P-(@A-|bOy~TU)dnVr
zx!O%H(Z<3=0S#|R2t}O8(9qDXuZB_yxT%3Te*646M8_02KN7`ZE!8}X5PD>};RKbH
zm6ef!(c%_rAk_a+n;oD=tE;0-Yqfpu7}M#3W?i>RhfuowM}$}_nUp-`!+4qD79Ryw
z{NvA`kGM?#^nSJAw|;czUo6?BrKJ8132ykV6Dw~u={Z9hys!6C1{bs6y1aGg{k<AX
z+@z!r_)Ezx*IHIBHp4|9Z}VYsBYpkI=;+ng5rZ>)-mj`Ksyx*`MdC)|WV62?jPwY>
zU1S3g;Hz}YwGUPYADchC!1`}iM#XRH#BkcBfZ6$Mf>`ox_O(6EB>0ueFno2OzM8tD
z<RXpLg$52B2GW7dyKdh~qi?sglie;$@9XMY#CFr00$3-k+28N4U0qAxtx@)fKczmj
ze}g(dfC4yIe#N-NctEJobj3tIc%$p9OF^IguGM$-&|l$g{icnr1HVsik=2PGSUz|_
zxN%r!ZTRD{e~W}h-0Z2%YtvL7N}3nF4?nM_AqGO4TTN+>*s;z|>`t$sgQlE}Mq|eM
z%3QM;y7%>T)0Wv~W?u&um1QYYh5BI{R!;i&%F87bmJuOBk>u$u<q3iT#>U6}%Gsno
z{;o80V|(!TXUB-O8>iv%^o+aaAdw^V@X#TCZtl^UnZ^!K2AS#UHOjTr(oC`z_2aBw
zxOC3X%jrd79Cen%Im;ZOy^|jXrKsxGQivMfEhR-8Ohv~$Ab?eXudlGh$^YX5s0b9>
z!rQ&RzJA_R7relqKSidImyvMqo}Y*_2$1M&;CKXh5Z=K~PT4jEKIK+8d;l%r{&IX?
z{_L46&VHC_oMUv|b&EE>dHCR~+K=57Z|z8hyO~?t?MSyoqW0~Dca(Ed@OuT^qCoPr
zwY3eiWYKixnZ@3?;d_SPfA-WaIiAfsd*9fRo_r;+*b)^Lt>i%#9Qp)sanX8hmad<^
z(t6(|l{?gSU7DylZf^a;i<twM+s<vR49pS7@THF&xzMyT!S}A|0&XfATxFuN&^B`3
zS)V>^@GSTJaMSzSXWq%xl;6mK$pC&i&=|Sy4TkU2OV?#4JSMwj#>pB{<n~VR%7>rt
zDolU$h`Js8(w#_+*}HdZZbs`xmNfrA24HPI;r?DVB1thKMbkUam;#Xo#>IbQCPDY(
z;{ME~ZLAfbnc1}Zt~!9Gp{Zs>BaPAcCKW+VP0h`8En8i=fv0VI8s!Q*EA`qUkMseq
zO#}G{2bKhb8)&6xA`+I;PKd-e1uo>;S{HK3ntk}xzn#8L+j{8AI00e}b~P`1rtpSh
zX6J~~xie-C2j5et2HO<8UiI0So1^ZK?1tu6Mz>r7L;)d|K<tS3tMdvc(NCT|yQ}K<
z1eQ#&xp^0OS)Uzjm5iOxKX)tdQ2>hbBonr!_$ih6kj~CY=pQ_|O2PP|NS{99C5Qun
z()`thg(=HV-LOMh?smP`<Uku%>-hZlioZlDErH7Ow=L)T&b0*Lno;%5E;q3_SNSFw
zq8E(wd|duoq-CB0h-Stw2RBv1?@t!gGNhCk-je0M0X(?M1__S1C;&V3<5Do5MMWut
zDu?dpf7xglu^_?#)igT#Rbg}FDV4BV%*^_%eynzg>V$ZvwUwpdhB+09Nf{|L;C$0l
zo*v5Lw_Be3{UT_^<J9aHJ2goteW{<(TU;+IQ^F#uqvO%n2{<$FzQbly<+p%)Useyd
zHD2lI>2Q`oJh(7Dl0Wins|6yuFfyWHfC8DoAOX1tOhagbyFQ&U5jCcziq{zXZr6Ch
z+1VL+#c8bv*8LE#KJ=S(=+?b^X6T5mt@CUO3F6ur3@YkvW79`99B+*L6I^BGlM<JB
zzce@3KIR2yaVFXw-~l5y*N()*%zU)h#>mJB5Y>v(!Hwn+dHFkm^qQ;?0F9JnEg%#u
z(5vRa=uCb{udi<a*V^Px-?@X%JmDLbbQfel?Ws#wSe~RV>-89-eKKq2$}d3g@lEq9
zo#4Nn4^2c9wBg9cVQ%%i+bOMYnUR%HO8!|`lg47XgO&OM_6!e>m4TW~QBxr|b1*tS
zq$L!_B3>C8-w)({#yOC=BeZ>tot_#Y7WVd9+3i@iW9#JJRY-A~w*dOM1F-^U_MU28
zzom6hZVUC=*L@!4gNidDN2xYN3#p}k<9|R)h#UQRUH{Bt-~yS7uc*isFt#zF>pSEf
zsiHbjna{-hQnQ}unAd9Ac2W@eE5IT^iaxobg>H#|pO=36;k9|)<+=R5Huip7QH+%W
z*|0^sYi?8C`%9ctC+<=GAX-V<FbeCOC*7|#gdj9WYvIi1R%GE301H@l_VCZJUZ>x@
zS$E9Ukmt5gBrxZ(v9oe2@8Ag4Gi4jNvQr8YC>&Go0?|k!E~o9_uN}g|$S>`5(fywP
z<O%)A;DfIUyPMrgce7uIEe<LQ6zE=g(%5K^jv`DJi4R&WX-IXKG>@xh_u`RMR^ArR
zrPO4r%!RV-gitZ>{oe|arj}#6PesMZJ%N1BW7xZXU5io@n%LG6M7cpy5GwVAMeVTj
zxpQIdIdbzw*_`kyKv3DG-6;uu*l)%H5^efDR@`6Lx%1W*Dzp6^3-z~|J>rqlVsuyZ
zu&h0`CX5`&@r?bWB9~Pj#IFAtJh0h_wfUaA)g1#nUmmY)1IcLqMFf1_B{1zwppisn
zvCjW3vweFy7^;U~arxvHTp4(5UNcRdL@o6(WLD!a5TGfNoZLLZ-v2F@Rv$7nq;$Xb
z(580SGy1<@VbuMB)5*8!?Lw&NxTz~Iemw!3K8Lq8wlmkxo7C2Z(UqR>5oKpQ666f{
z2fppaD;+MN1g<Vl;cy|(YW?RXRTNMhA4=Xj`O~9^SA+5mb=v&_N!<&wga#@Z9Jde$
zvM&|h#@Mdl2VPhBt|fqPf}a1%jhTLB^i~dV9x?kV^tHi`gmi?ENn==zL1Nif;CSIe
z5#;x6M>(T(uvix{5Ks^7b(RB`+CAl+-M&pg;AYH;j%(QYL0I-K@M=Uv`;xMfl9HTU
zc=X5a<ozI^;6D$<0w9Tsq6h|e?RhsJW@xHA=g{)RH-%p-MqtrL-6NKfe9Vo59zs#N
zibTDwOz6kCK|Y7GblmHI+ZjlISA?_;#A*iSBX5Z9Racj0XDsStG@d(U!A?V1Fmtf6
zwe<(x^QuQkE!4sI(cRsp4dMXR{4a+E&<b-zSc_w0LjxQQHnXtUa#QFjl2eI|vyX|h
z`}KZLY~YA)u=w+%lVDO;N@(6`5SQ`(UcAOU>Yx?3KXoDt7rkln*z`2mGN2YAYzvPu
z4rjb*!ytikaCK$6k`443icRPxFxr*6S!-+8&(Fgf^pb%=6jD1p%bkxf6Pq5NVTsr-
zv_SplSv+X>hK5>wm-j*Sgfj=bB{1K6d-?7am03wiC0v1Z@x%soP$h*_vwGGGrQC?d
zf6QrV1VqaKZ!>DUe*DPjnR+|tRAeEW<hn5439AO47(J;3SVJIRWT&X8l<Isn%i%jo
z5(;2hgZHx_zX|=|hN@EPN6ZPLLw9};R>&>SQk0GGkMivwuF%x13Cs5O>u<WlX{S3U
zBIv(t19A6gj(?unmC;Y>Ajzz(TxO2g%FhpvGaC#Ktkm)&gPuYP?0m-Dsmcw3)>yd$
z&Y$mNW?_L?F7u@g@OKzeno6i1H!U-&-VE8J0(a`q4<DE!>Tm0d%-=teW9kRpux*!<
ztDBp5xt007l!m|~UF8D*{8>$TmRnY5fAMF3_bR8bI}zp+O8go-vK|728mgRcdXCM3
zn}%~(w^GjOEmzQaMWYo$k_1w8Z|G&}ix?Uh?2?jF6P)4~jb9mnGY3rZ&(~i(Qyun0
zB$AOfhGP7$-DgIBwGCJ$tDF2T!s(xW*jbJzXN|J6B76(~>!@<xM;wD*kHJ;BFGR19
z9P^9=y(A-})_Lp*@G^~W^7{F1OGLdUs}5SV`a$RO=V^i=p1G<OazK-sh9*6b5M{?P
zXht$`ZEk*UnFs0$9s|hkAe;hkA7>|2{pc_(^A>XpUc<|`x8l+{(B%}5^62omB0Ldu
zw6gL_3cno@Jbc1g(_JBXGcA?(%(fW4r|rz0t`HdiKHA#S((vXD{HW0$E<c!3OWBHA
zzD>F^Ri)$Br~`N3dUPl<mForn%_dZ@WkHitHRSXiCDq(Ia0SQmp%%?2TwsO)66*;0
zxOd9f=l*YWgga(KRI<W)&zL2q&=I#7DTt?62F!!5CbehyVWK2+kq-z4c)^>+*0X8n
z!BVhwdP?2<)p@PH-qVuF^V6#$N~<Wm#d^yq1o|)Nxvo?fMD$Ny3sSKBHxl%31a1eA
zQuoVQ+mX1jR>S(Y(*+M8nroPz>^}Glyu)u(i<i#cn#lXIZ$I;wZ0+Nv<W{4yl8-=F
zZsR*hgRl`bwVOt;#Akc!2=|yJyn}zI&2I)NXq;k;q#-FWh&7rR)ILuz@h(mx2uaR~
zFDKpC_0oLKNXpAw@rVYLQYW@Jo^x@5WfQfg-SLWUR|F#;Xc`4jZrZe1gKTZ6+9ZtQ
zMYh2Y22fpYr=_(uZ0)aVrDF}SFO^%lz3Ce0Qy}qlh|Swo-!VMn<D*FY92rU5d(cq<
z%dcdLV38*5iR2!Fo(J|&gFPg&YsA^zSG6dzvlcOPh;L_{T&nxJd<L~tEe$;#cD{s$
z#NCXRo}+eOd8(+GPOB8~+X+ZA|8r5HC(Xa9Q@R`&C?GBQCDr-GHxR@oGbxGEo|xY4
zSzB)gaWLxo`R&6!%FO%#ld7VUzp9K3mSx!6;G`%oEX3MD`r(8dz5)w74^Kr31@|8t
z`y%cg#|x;r1NAEDx#vR_8FXyv5?T6b)hItiY@&;ALO2CN$uWQ?0gZtNmbmz>CI^rV
z@D=ev1g<+fzq2C&<pp~T9)uuK-Mx1YXz0zD7@!ZZL$-ev05&-8miaTQIn?=djtid@
zKx4Xyl`{dP>GuluFEF-3lMD(#ln#ELD)CQJ#|ys3-n?nQ>zJ=^nPJwq@{8GKx#wM6
zD%LkNNBg(SFc~Q*<q+At@MX|uQ59ilyg)*M75{Y(re4M)0FB<fp-yOyiHyVzhUyO^
z6}*sSg?>;%V!VHR%MA{VJBIKi04O*VYh3;rqpOk$9B6T(v3orJQzS<-o)*?>qH#$2
z2^ZXlpSlUr*E#IurF$sX&}@A8?dFjrwdL9R(;gnT{K(o=+*^Z8bOhL0#@Udrt9bsz
zLG%$SrfwtOS;Mk3dzV2Gd3<TMqp`3c3iu-QIgLC=Q;o?sL<6QN<XAYVSChp+Xh2O<
z<8Zi=>-B7kCX<Ff)OR3+jtFiZ2GV1Du|@u1XGrDabGwo!vaaZTeC(X$Ek#RlHCHn$
z<h^6$=BulvRLL}-w|^=Ky?Mmq)!SxK?PGSuA^IX%FQd>UVFdvz4dfWdUP`^a>!6`w
z#mcYb-}kM^2CQk9e<gt>5Bk}c`3Fs74vvmwqko&{5?-Ig)|5W$vQih7mAwP<EXmmr
zD3fF~dAi;~$HSu#ftAj37J=tVdl*8I#0W@o^t}xXr?zd&`8omd&@az&`cUME?oDn%
zd+6whJ%NNYf%%6dBxL91#oms4R0f!z&EU_X@D-SbVp@Qx5k(SIP_%|;k(Ik=5C67p
zM<nh--GUO~%+>$piyoJyidc%VSesp<o01p>EukOW^5Fv}My%@rJ-)Ei72XoJRUsLw
zMomf11G>5ki;MWy>?yE6$405Y{97E$Mq_Zf{@SI(YjUB@!)**CmhnwaeByo^HB>C(
zci&@z11L7=0Sp%@n5zDU;^fV?y!?@k2YdUX3{(Y^C+cJQ(O@78XQPDT<>mM@X9cgy
z$a{1@l&PB@ntew%;HhmUX=P3;Q;Uyq?eTcj{_@I_TjpoqzDr*(yFye;W=i9qv?}V2
z0DdcTzv~lzzqXPr9|~`Ju+n{ka*R@{(to#+OZwTvK{$TT<^O)nU8VwF^gP5VpL-t0
z@+q@%a(aKY_Q`wrIy&^Ma<fnJ&o`RKmvWvmGg_RTDsqH-8*)I%nG*2s<;S)@(xnSO
zuK5#dzxHh-r}q`=&8DcdTxOeNzgN*E<zzpf%Jd!w6CAPai|n**z*NU_U0WNi(;UJk
z(LhLCCn+m;cXWh@Y?UxZIs^~XwfpyZl3PUCqByy@tfjcTyV}+N0R@4Je6g*7#BH=n
zXt^vb*+IzubM{r=G#U@4q)$l?njG%8ILf8N%4db*n?FA@-51NjNCcf3_mT4-xr_F4
zGiA3&{h_juzM5x@3EoT7?(ceR2Qz9S!=Aro2G(s^Ro9-BMaG=)9l^3Xx&ff4ugZf?
zmxe>wF1LUt>k9mjipq&E_<)`s((SX3?#dbq%`DeSM`YQD_wV<4{-h@`IO-iZ&<c4&
zY%C(LF<mDnCZedLvD+k6^W<g;oB%}V6L!>yurcHpQc_$ydmIpfXL*<FV%tHTK85~y
zm4I0aa)a0}fFGMJ>L>195J_;KU>$@#DibYL&si`N4sW@D@h=P7773_r1O;0ipF_NW
zvv1P-iogFF&e09b2LjH|{W~`&%YOV;ogCgDM0ks_b8%VWgf$YK1OCk%u|r(k`ND<I
zknXuEJj(P4pbZ<GnTe&+gE5hjC^Y$ib#Tx$Ief>7i0OF)^iEjR@W?;6c$N`b3F595
z_@JoXsD|hkf#M%?N6l&;{-Fd(;Vl6&sJyiFbz)&(YCcY4m@25L37qT=>^e6S1^qaN
zwx@TF3bDF&6%HOq|1yfE%8K;HUM8&eQ*y7_{#j$E!z+AcubJ|tsffcLv<wshkBlz-
z#US&(U;9({^K|K+!FF00xFLSGnI&LRZJ8iS#*SUQI0qzNFYf0{|FSH~xVl=`h^KD8
zzb|rgbJs+*pL=DuKkxHyBg&xHo2gZn2hOcx2`+eLQU=xY-HupvY(+%=?yDW*g~|^f
zb1|3f13(%P-&M+-cD5t~`LRA#G=v6GE<sOEDJu68(<dq%8Av=?dh>Ph*OYgRQEVxD
zt}N`+9T27s`~5y}N!{g?^>~iL3-jvWA3u+spYVDp#FphM$<9bl6N5|<M;$^mLo@(|
zdKljvPl4%V+0f1X-qXF^{r&DFZtN>yHZEPpKy|E3#Nfv!*Kw^W{vrz%6_p#&aGr#C
zpwCTF;@{v)ba!az_OHUq4;Yg?PYXy1Q{Jz(F};Po=e(b4u`MbUPA{(=e*Yyf^tHE#
zMZi0LUpA!(fqgB;Xz;1?%zCi6#oE2MR|W9($&=BHrqI_+PERZF#NZ+x&0!B4bobIk
zvHZRU*0Wow^ntL?3?!xVDXiSwN~)@dw%8FQRaN9EqQe4u3C=VoC<obYq#9zO_TDv(
zWn++(+#)_2Zm<t1s#wivlG@WD){q}ZG@7T=nMYRmN-8S;`rmOMYb@@Wdd*A{44f<*
zyvF;$|4&n9>f4}>2aFxNBohZhsws&sK99al+21Qyk1n@#I$3}XGN`e;cSRKGVA4Bw
zP)&r5l>uf(UKbYO?%%`I{i#21FLb6E<|Ast%xl_&t~Ld)me#+JhLiK0qHqnF;{;j+
zWzA!zG9@k%O77&VvEv$Q^6PK5nygLxRA*ZKR1Llzcja<5$v-7UYz~jpQrGENlq66T
z<U|e{8R5QXyqba8Jx1HcwT92wcZij!QQkpOFfx1Sgba(nIlmp=7BJ=AO7|-%aqnNv
z@xe|PgZsVvffT`3QgD`iBc@;w_b%F5?mk#L5%q{$0`$={Wvs7XlP?*&nL<cW@oU(R
zwh0_x3-~I4ul++~kkyuIeBeY-RD*q-$mbeKVc{R4=U%?v0$a`IVJ)W<qVWc?+=vC{
z3C5_It|LNVtNyCbO^yc)y{e4p`oT{dy8E1RsD=62FAp8jp7DN#<y$@ZItkyVpG#t=
z5@Dq;loK>&DHAa$wvZHg>wy?2xaSJ6v1v7Al&ML$LypE*j8q^r<KLjl+`s>vY?8-o
zjU1-}tJoLpcPL;3A+&SLSP?TD+<F?vyx`ua5^hd;Lzacs{in<_JxTC2e<G0F<?6qD
z{>z`q^YxoIxGizd;YUX8L+u>@JT@~Uh&3Y@SEJ+eBi0@+F7NF~)U>oH{$5HZc>9Yi
z$X5Mbw1HOoQ7WDH)E-}3{T@=!k1$C@?x?v=W1fdnkTW_9N=pL!P?CA5iOI8THFQsU
zrUbTaLyn35-P<C-c~0BgOTAwHaZsvUWXF!7jA$t|jZR=hS66S~5W|-N^b2?p(XP~#
zA<e^3M=?iG?P-K=+8}P!@sw;5NgCq3XJ!*XPOYRA$;QsJ{tj1PUj(ldg_G&IE&*#w
z=tB~3-yW2o{tZm=pL9r*g8(qLocmV%6z9w?pE%{i(XmvI3Ix7;n*Y;cnnzlZ%oNO<
z-i{0`gv~DZ*Xq`R5LE?7C&9J(fMu4eoh|`GF^U4{^59*%3?&bQu!swxXJEJt80x%2
z4<JkRH7*_fkVcB_g0l7l_t})b(9F@w%F_QUc{9aFT#p;58Y0QamtyCo*zbQV{qWD7
z8pAt0E-*jR(b8jbZH_2rUoPgC`=$&1Y=P%~>w(6wv;4ElHA5Qp2v<H1xbd&-a!=K4
z?v%$l8sLwlo`)AZpw7LQm?$3KB(=OF*YqiL6(k1N_w%po1efY6x42dQ*2^>7pY>(w
zshuSq@h~M!S@oI8e(eY4y;!4mS<}D@6R~AkJuDvOy$BLVH;!ZV;<xlv^+E<UaO7lV
z|D@#q+D$mUWZ!(v{cU68NlDHWEzniaIb<D;5+K-Dk^Ys_K4v6(Ohbe0c3fzW;CNbw
z=a8?Z8b?f;BfNcbQgV7T5OvI>uPQ2LZDHDhrC+L3Fv$9cbu|jUA}0;QTy#T5r^|7P
z<2Yq;?H^}n!)kMK($&<I{fk!1$B%v`?|g%6?If*hT@^sq%x>RxTmPQ%<Q~puj1Y(r
z-?Rw`5uj!%sgDk__<Zz<r9JS$22%`Y2@X%llnt|huK@$UYVR-T4_KR&WR&;|sUX1G
z=TF`-4zBIqHh9<l62UDfSdgFZh7deNC0kiBF*0TZ`a#f<lHAU6ePICAUQO3WFt7uC
zG_X1}YU;fdSCSu|r+&tKi*e9{uJ`wbo#|#c;G;W+DAT^k^+Rxi+i!<Fvj{2!t$G3q
zCp)!p=1?J=42AWl&7PC8>8iG2dbpPD<F~zr5YnM8@TcI69)6mezpvHgb5GAI2A86w
z*<Y!%$+_EAdD!Z=t8WQ>Ng+o&%6$p!p5sVvTxdt-BE#*J`MVch&m~A;*g*Nq+GE?S
zDZ~o76?pMbu?%rb#5dg(RR1m<VfXn2?W`kj@0@}hlLmT7s4k_1;sYPV3h_;#3$u3Z
z9`-~#j%EudjJux|qjB~e+9vXz#V&o!{M@<S--36Fi6NQp%DNRmJg>9i2x-LUqWMSr
zh!KsOyR5J<_{zKY`<i9_fV~|OM$d&c?^rZ;aL}#-O~a<`Kx3l$6H|$CKIjx?_o3AT
ziwzOucyk1=^#FKAt?Vk|;^&8sSbQ8wx^`#S7Ece-Cnh8)g8PWhhn?Nwh2^fcgOZ%5
z?O6%>P$+xe6mTbiXbjFe8V`rn*#c7u-3)zk_M_Ci1Rx(}=&c$WFoUEYj`SO#3?X)$
zn*2~N;eXxqv}_V)BYkO#VBFP)hW4^aj8`dr4k~kk{kF2Yn%v@u!PT=IXG@APR)-_M
zebI*UF*^kYes`8b={4<AGbyvm$FUJ70;YwwmKMy9V9%oW_QdARD3734v^X|9$lf&s
z$bfG9P@DsL@Rv-&TVUmIDDIJk<d-q8(P9Xw5{lEIuXdJWq^68r{X{4Dk&b+1zvdN^
z#)hyLd!A00SOL}h2&^mEJUF+4ffUqmO#g6C1lOrUAKsV)Ui$>WSwxLTGRDg9>UzNq
z2AS=4MPc@w1hG@TP#2q2lS7Bn^*=&94q_vHC^y{0|BH;qwg~$tXSwkOzsd2P25oMo
znS6UbJ@!D(=AJz<`SvrO<p_N#in9cZMJEIF?Bo`O0G>O=o8z0_yxDwH4`6ZqAUgct
zzc28Cc(|2poLX<xdP5HeS9^|Umxq3N4o9uoAdb>L?;d=2a51jO2~E1@q^ogM1`@=;
z$Ne)#1_tHG4u<Y^`rjskNTy*HBM2}!CW{V`c~u(&V$=0O;!vIe(lXAOq6+@(%*V^y
zQyo;@>9WT-)YfLaJj#^5pqDX0g@K1k$twG)!zk;YQ&T)j9kkFBqWikDj18=&=gVt`
zfx?x(dwbWu<>X&Ae;sW8njq|0S*5A&(ptHdt+qYCepS0+wvl(cB<q9ziGTRse?c3v
znf;(5Ej>eClRkP-Il&fbA^U2rn4eaRg1{P<%;*RD0vAY};0np=P<bv@d;9lM^)L!a
z&_6Emc*vpW7>pSJA>kWl>#QRuI1kaBrq+aZS%RJMgC-gY2S1GQ$t`ciqlF@|<-4N?
z*VH}8Cw}i{>U#QlHyqC~x4jD-{`nI?#j&RZQDa9!PlyX6(}f!u%gFvGW(Gp6*p>*Y
z2U_Kr;;{l?hV5@cGw>#0i8v=gCd7Uf{3T0E%lnCmk$HCW*X;@f`!nNdjjx2AN_X@0
zl&zxY+Fv8dxoP~Z9UZsmF3d2)OC)vm*!RkqWI(6SF~wMUnqdwF8v@{!AQ!=Z7ws^q
zklymP)%S%5X8t($H{cazSXTSkcmKIVliUxHB}X>g#pdmpVji6&=Rt6*K^v^KLs7+E
z{(p;L+*-MvklC$tNuyUq&PxCe+usX`Ja0Q@ySME+jHQV$?Ef0<i>##5($Y3`uP&wb
zR?eH<%>O?wz&4xwa5Pi?zof0xA>M!Zu*O*q1T9PupR`#hBv;R=+6v#lhSoGrWTl3~
zqq|$xRFYQZ3e~)c#>A`^WTWPp#W2HCOY2v1Ua6q_l6_e!Zz}9>;J|NR0lpg}%JDxT
zh_9(3{LCPte$&|4p2mWK669fjAUJ~GHw$*wec@x>gyUfKzD5;+(gIH6#**dk8v)}2
z?t!a|(uhK}wZ%AMA!&v`b#M?-Qvj2)!YR*kIE$}s%3D!Uara$A{~H*z@5t~83c8;?
zTdN@J$_qCV9hNPOu<T$gQn8?W)%Op>=}F0Z|2c-$T~tep(c3Z2NPq)eL}ilQ4m}v5
zVPo@M@w|EkNm5D*=}Ru$f0mZAOLmW0Msh}96{4?Ha#i51J_MS2X+YMu2V^vhjaqY;
zuxGgy`;mF2eSK6n0vie|1&n)wPdzf+e8=~iWge$8$txKfeEc+gy!+4mJrws7%M=|Q
z>b_{^@)At;(4m5V0L+`v0L1_XA{ed3*}HUkxVRL7v#Y4A#f)c(Q<0udxzem_Kl@Ur
z#Mym7EiIO>9O!Mim8l}H4X0XK^?YPv+`{{3Sc@nRzH;|pmV$eqbj4@}MqM-_#tdj?
z=Nq>od3pu)SrH5&fX=bM@cq%^k{P||GyRY}j+=f}te5ORm|q3Mmx3zJOUkTR`2ygY
z2nFv5wh&21zi=)9Q}!eW)#9`{_6`3J(?L82e;@m$6gHM1#U4jEUN;Qgq0~ap1c*1G
zISU56Av#vqDX3kRYsPAgGLcutgP>I`=Gm{TeJt2p=T-`fv!gqt!fJ6u%^zR>J5V1a
z<c1lH>^uGR>3E#j;OBFLaaIEtYV1OS6lyMRP{(g}s~CF>J{Xk-NKP230imPo0}qJ@
zhO<YG{00i<`_5{4pni$&uHg&NYEkXwZ_m~YA5Ni`6!p4Un`^5PP|ZQ)TR#?7+RbSe
zQU8g3KIfyvuPh-P0uPOTm^7<)OTYQT7nxA|?gj_p%cp;WMg;7RpX~&Z`)GFHuFcB|
zjDaN-dQOh0we4;99L{~D5;4%z)dg&<ATQrHD?9m`#q6_E;orcrnIH;ctqcwrD;>v7
zRR1jxLEBU&hb{qZYRpXTd@9ckppAfr((jbm+@2!J=7ku~cIVvSeS6Wp!Bi2ZNP`{^
zos`~MqPyR>&r&J@&^}E1l9QY5NJt<=7el~%2e^Rop+iS<w&9wyERq`9`}(Fllx9;y
zLqj)tC}C5M3X+$T1I`<Q*-?gF6<$H&i<LhliRd%Z(@(j%O#{YEyn?$Zy5iL<OjwMo
zk6c1jzb_evoicvoAbUZHuhPx&xiX1#ONbsr;EL)k5x5HQ0zl&6fX5AXsZ(D2V7Q85
z9M}~ZU9y40K6AF1JVHs_mS{@K+46(W%1e~L<cr14Apiv`e1Zq)%sK1E=`Bj?%&k93
z+WNyn9(++amlb*CLcdWBjhok>GT0>IT=@<|kQl}9^u&gle>G4X0#wmTIOn|Td%(?X
z&ZTWi`Y<{W&FL&iLjb#d1$cwBCFJ6ogL@k@A;hU+A@oG<BMb*P0=cx(S>-+P=HNS2
zG*(5J?C~TBzsxqqPtI}}chSA^arRbrH#0I(y7f@z)x*K)*IfdX8*}SRoj|>(eYgIr
z+@#R<P4{M+N|sIlxcK=4Loj$-1~C(%qJNXIo5E4fYaO~!+$^;<x&gZ<o7E=*1teh^
zncp|}Pg_{ZtnGQRSrzsP&ptb==&iULfYSXQw=#Npc1Cg%04pnGj66I%&&+bGtJUvq
zlI(krC+6!{tj><Kt{_z*$w&dTf)_J(?6*@>r*0oYEg^dw8lck?5fS;sh2;cB`^?Yc
zY*AnGttYmRma<DF<Q5fe8IpOX2TUCQQ(lf84xp0<BmB!#Avd;gzPMO!RpE&KSNx0l
zsb^R3F!d2e5_j7IqQ|_?h~Luqs!mO;RnGSWR~#1LxCF?07lmFb)#CL%l9EX1npp5d
z3yKF_HVIxFV_peb>5<qhVqj2Xf3J{13O+3UrWJAW$V~H95%By8=@srCvbs<1BT^wY
z4j<grg{J)Ua@8I9<`}@SK&+;6T=3|Wn{Rm~XYTg&<$BgEwYC1RSYmE)KW%c0l!OEV
z1_5)Riv|Mx<cagy9eFy!P;WGU_<+KS<-S?&@$B}g{^}rDNu&iVZi{b9NlZlc5gtT+
zp%<m4SUb1xrEz?oBov9B5d>2s@*0@zy?Eyiex;#(*cTaQv7Kx|0}cY{?<j+`yw7w@
z1O_H7SHMV$-i!zlymW-O#5bWM!K(!+mlhTpUu7yRNS_$xxS7C{AS-N<UyaQ&c7F>V
z8^*zJ(=h`sOKY-<_pk8_)M1yiyakgvWboNvtu7t{lq9`D=_(2?uKT{71?2VslXAS}
z9Hd9cCr_rZqp9A8zw>W4*LEFQ1dmlX{&}}<`&v=VZt;rNbB1oA?!<>%bQz(ioEd-3
ze^0n+M3rJJ^+<ZACUpzdj=hEQbT*jxrHGmg4!6sjT~;3oHy?E0Mv%4@%JY6#qK4~c
zosyVQ&Lm{;2)hWfx9^*=yF%gcCb*B`Qo!L$Z2D~Z;^7DKucoQ6kP*10=>}?<dl%cz
zMS)O&Ez+LS-aqFb(N}MNojcFkX~9CEg?{IWBP6Ugxb^`Wx#)&>&X`5<qSOHK!KE4A
zH7H|GO(m|c%O<zXztr+SCY5mdjeeX1V8WG&U6<iq{OIAs0SsNBgrXdx^KP)e<l}Q%
z!UfD(xHqEs;N6E!Jw`4RIgFfu%uFR5cFms7*9ZfH0$_RmiRafEhh(^!l3RXxzrv+M
z2|#y_9**%UZI~tk%L7>~)|yA=Fs?X(1TH3qduw%d75|ZEHc_qfxF;gWsjP20DvDve
zAA`T&Di^<R=8s2F_xD{sQ>`E8k6Hi{`VqFu04{x#){yDf>}u*1OO;f(`MN=B$H+H!
z5<AAKe}5-L3^;ezni$$0XZ<jq{)d`xs<?7}u?J5TtmF>vJ%@o{M;$s;AWf6rt9cx=
zT?<YQG4B10?t&qW8x;6eF~=z1JjR`oe7<?Q#eqg?M#lp@L9%^9cEIfSfCmzhQi_$!
z%7g|Yir()>0|B&V5bj6D42@TVH)OR9UD$~l#>a_pg8^QE%D3M(wAc6DK_WEx-YI8Z
zwM(MpNy)S4<%<_ph>bAL-YZKl)pT`$NbIPqRp1s72*gqcmV^CxGLG#Ar4+oU(-KWC
zFRnNIz~l=>v%AaC-$UEkqAC{)>~8o`oR%?&!=S;(%}oTuUGJG}wox?_3P42onp_Lg
zc1H(yjNS*Z2`eFm2Kr1Q1s@FuPsGuYw*8Fh7zdP9896yoB28$k{vL0bQ@-#cTrU&z
z9<YUxV{>Q)USh=7HULZ7LXsAFB5qYSf~>3q>B&p$AtDBkTyEV53Xt*s?r4;zKrHwK
z;sKO#B1OV!tt0KH71p%2h^rWPz8~7GF+*f#sI7e+3Y_~!ac%f1o>Ytpi1n}|4P@z2
z-ViZ}Z(;`~xsw(I==L!t1_sR;ZmaFGvPZLy#@x68ZVk{Qp%6t9iIsx`R3bSvU^K@8
zwpd6n9AY5RhM{3QB66{unN(zPBk$5~Ry%aNW!g-8D*uJf`u+8{@h>C&hgEXn>*!~-
z!7L9VbTr_gPsYU+%RRz4fzJAgYdg%fJj=nQ#Y=?E0CvY-UUJ7daUfvn5APlE=Vz2u
z!@*22%xc3h94dsK0VbynAs3WV;0{2xkoou#HV)xeubxT=+cKjp7Y$mu)lJ6gjwpb(
zP;D5Df(?0FKinu0B`&%lF;XVE1-&YkG5GiVHlc-YV_v{0usXjQ9u5QBqaS)pHNofY
z>f)C7hc7I?jsI%jUyxbUUEt^h$HhvpSD=(Ig9^&+Gct$2Bqa1-Y*lS;*&Z;Nz@n~#
z-(_*SuX&^<w_2$_a631(LnE1u=49c0ae<NuPAjeJ4&*3dMzWZm<-1?A#mtmk*2n#?
zuTv610_@MOeN&^K{~~vdo}Dt~!5teCHRXTnM1<F|FfsX?(g}8^`lYpo*xE2Ixlz$l
zU_m3bPQ`~*f&1t3x6}W?+~Dr&`X>Iyt<W#@7ilqxtpjy&51dPOA2L{!rqh$ffn{Gb
z(2?rq1Xi|0Li5!?bMX$U?B;YrL!8~MyZEYX*1M)A&9{-SH!v){uvEopxQi^A!BFI%
zycHBcEFAEHl1xQFT3H!vY|xH;yuGpKz&x6=fuA$c=y7N$Ws=d$GtF=-;j9oD^86Yi
z(0^2;;15nNtWHoRiY!P}T3hUn=73B3DLOJoL?85SM2CPui|Vv#Q*ufQ&OiYMNkRXb
zKS33$QH_ip!r)!_j4Ah2V<g8a&w&jfDyxV0zwtj>iF<2;g6J`)%jgE5vj2^qRM_AT
zlq0DnH*aI%krw08zke3+w&>2C1|m+mDwsZE8KFhFZ=8KHjn-sx)*(Ic!j>C3gYL)k
z$sR5ER9f;w{=za~P2|lrzwYA+lqJy`tl^z53*Y94Lg0FUF?=o8t-XGxHh%v{YP)DN
z-%<BZl5|lz#lS>47D2Swn9o+nDgB)L@NJp{`)i9;l%0yGB;y~w9bwR9#k$Z3uq1N6
zzUdjA-;sTftd+hzd>7^H<jv^&X=y>w{R5zqmI^%(NIBU)_5tTre<fX7$4QjPh6Ecw
zpaBq1;~j?4U7SdLU7b|LsIXke@~K;iiK7d@eNXX2G?az*I56-*+}ed#eYj>_+JanM
zr70`-%yRQ`b3u?=E(2FzTv{3&-}-DhO;&8k@MJL2W<GiHPJ90aPfxb)0+5PLn{ZBM
z0`L#5AAEMQ)a|N`DkDxTXQN^7SD6_Zpi&YVd1gR!ndSnyC!|%Lbh|FT`?no#Go5YW
z{dejIF=gYEz4oE287sjeUdO<Nnvu!ZEBKW20l|}4_p0oxLEr-jUi(t9E#>|O8)2Nb
zOB|QVQJ*0I$mwdG@<tGdU8B1E<I@~{xQ$#~By`D*C-_O}>D#euNlJ?PRSfh2Al1kT
z>0!@uko^0a3p-uMNHNsheu-PCL*%xz+1)Xh33PyY^Yd<QCR($1msRPQ)cp;Z1f`hB
z6r7n&TIn8$Im1kVV-)Q)nlpe6yJJjPbx@*!u3~8zbG%~IArQ(75YNE@57E#dGt!Qr
z??EP}zKG|mzB_8ydZzN9KCPH6ZiZnW1)*GsMrzW<L|>nK+cp`V7^K)(tP+G?=Ix`2
zAX^~J!21<{PY4BObvVTCk&@zJqD?i<CdYd0X5>9O@?q#V*k?uRl5iwJv*_*3*;9A#
z-e0J}{!_A8NMif-aO)NJ4wr?Ag6hEK*;987ce2uh4M!eJal^KMMQZ^d_o00b&=cIG
z>vlz<WaQ4BSv3A~`ys_Xul7UC5%qQ?XyE(jY9oRa$=>E7<!by|m09N)*#?`vpSWJz
z%~&PLpBiGblc?!`Dy07Vnc1ENN@O_I9HLCCuMK?oH*mShQhI;U{=qk_gvOul_lmx1
z*SpWO`WtN~JSfJ@S#<eBG+6ohRY{~m<*mYD!42U*>C41djpB98Bpr0L6Y7K$nvrq~
zr3%&BKoq~n8DuCE#2(M(b%D`sX@T%6dl0aAqTqI?Pvnf*7Ux}0j-DVMb`{{j22VfL
z7>rg-4AC#1pnn43OU?vQMA+cIeTGH0&W|^jbO-wTSGG6;8)c%chagoX4zrYd&`V4`
zj?XVccZWDoM2=$lF3E`*10TT>>Wq`q>dFcnU(n(K=7G}`vdk?lpB@$mLWiql9!e2%
zu-t08jl_1Aw1%Y_C&^Z$J2>5(ufYKQVpuIJD{G-k=hOcvF6UoZqAx>JhEen0?kh`!
z>RYk3c4rI{1ps|#i6MYrX}!5l=llC9TjEn&8zrIW{>P!3RnaY+OP%hjmgbn`7U~PL
z1Ddb;0xu7Oy8L6@e$>2{H{u;cmw!JP1}q=RBpVn`S9Zm(YxQ1cm{emPwJ>1S!M20E
z_@^5v_HVt_G<Hqw9|Z(M;MfdH2mX$}C;$Ms4`oTZa<-1nwkOuR?w%`se6S&v?aMIl
zE#Q4Ygj+2egEYYI@81R3iJ3mSoFlgaS&Tl^k21ZvoLiqWMngQz-E#Dy(*_9C-k){3
zQdKUqrK!j!;hqgR<2eeC?o!LVgkQB=opPW2QJ($LLP`&LtGNyu_J8|lj`eLXknRCv
zKQa?aU1K~&C=z&#L$-<s1$7q?$z#XjJ6(q7Rse^>W#mVFqLCv!4vdU$eBJEi=!kg}
zEB9jf>A>j&H3$EO^EcXM_V=er+@|9<UZcy-#G2U9(9%++11ez^6{zh%2H3@Xnr3vt
zujAWJ0}ux@783g08f%63?3to0$&uz(8Xx?`$;zrR6LK>$Qse4*&ge5QEM<zd*0n!S
z1JXRgv@ON)(UYLt*VQ(dNi3iBW0^?=rZmiDZC5k|Hf8D<_8>O+ZbHIo6*AdHTvGDU
zUVpS87$KpC$~p=%sh#j0ktWpfXDWzRVqjqznOgzkHDW8RyUYJtc=*6XO^rq@%dm$M
zz}am~v^<UUSG7JE+esy`-Fm}JT04(*#o7%UF{S0q#s3J@AJf~%!@wy75VK<kNSrB+
zLphz}XkQM$U^oZ@OEv6wF`~waBs7Bs3epzR2L@`x(A#&d!hiy;aQ4>;UEw1ru?xPJ
z%B{#0rrb`<C0I=0Bmt-P$w0^%S;XP=0MfkB<*_f-l!ldq`^df+v)oJgTfpt)<zJMP
zc!4x;4kg^%7+wI}pyl9UOEePA-%BEW>h1Mko*jf!!uRhs3C(xGb_6t(k}@fO0FCgc
zZ{I3{HvXXt_TyL)OY@Jrb!!$l)TyL4tT)v+R$7~-tNo$5?8>?3qK}&I3u&PTz8T_E
z=g*Xqg?m}(Gtplx`Ogmavsx&Xr@R|H-cWO@c98jr>!Ovz#hS1nDn$l}R--w~mKl~G
z3DAnApQH#<qfg#gy%U9KcD5A?ioya0W52(FltkqP`d=}(cxV`$csJk4A_%@|BBu1;
z-YN#>5=z1<_}}2s*Axd9`OnPG8~fVRO^U0d`6H!v^!JkuNk(e2tFKKMniSa*Py(iH
zFt=r%^7G?)ezt%2>x-}7?55Ibjf9W`t23PVxH@OsMU8I5=Em-$u$-LN+^-g|#po7C
zbXjda*uZ073g^1QFNv)q7+V6(Z+2tdkIw4Of-cOZG4m!FJ+_i^KYt!m7GeTf8LwhJ
z0M$zaubQan<BSX~;oH9F3({@38I}1SiWz)~Rb!%mZ7;>I8@TRc_xC0m{Pa)~|CV_)
z$3Yg${OTr$3|{Ny0c{hL*ydqjdP?OzFr=$JJGdUzbj<Jd+2KaY?~W%fd`~D&y2Tmb
zC{O*1&pmJUbyFUP1}ph0@&!$zeP$dGf0?2)C$USP+D;*vi;IhbY^c^e{FG~8eB|N9
z$qz2^a~?y@(C2DW5QN42MKxS!GV2_MZ=IWFzh77$vRN*qEr~94Y`LHPz|RHrd#Qwj
z@G4nYIAm<>xAujPneHtwI^tscke2ZCD+FP(Ms@F>xYI)LJ^0Bs`&P7}kVC;srhPU`
zy^@rcZk?D_1i225Hf?QWnE9X4lDlmMCuy5Uzc&#q4Q>M{U`E$g#m)_u^A6yj`)qcy
zy<ksV8PCbSx47;<0wxmpuFENF_XO;)O~vzLmMf1@A8)e6-Epr9Fr;13ezlH3esoHC
z@f;laUcTf!cdpmX2h3fhupz?b^ywjt8!%ij%)%p*cxukBy2IrX9L;*Bp!<?{Y*Sh6
z?ddtls)O-(<y{-r(1`tf>JEEH?vqq-(f{Ch5tufJ7ME>e+*u;(Wt5c-SgHRUMJvZ{
z3v~(j7T*QlDWB?%wA^%uf_riAV8ZU(`lH9K#79S7P~Er*6`HS*TrCX|-Jo?=gqU)x
zJr~(Zm-#u;H3?f$&+_@+p`Sk=^-Mhuk_UN8o#wjg(GT;ZqvC-Jcdoek`>PO$j7V#B
zKB!1!(rd+D5?|N8VVUE7T!eYoB0B@AQV7$b@9`=&yZ?5coBjFi)cj|lZR#sNa}dW7
zhGC!|_V&VyT~gNZ|EbwtBfY}<72~E&08_zKC<=Jr->)tu1zFRRmoL5Xso=5VnLs=H
z<n4s_D^Qs~pAsMdXk#Z(bQeXPFDr(QmKM#Y*=1C9!!oKXt{_Tgskis{3knLFT<Y^w
zN`VRWc!+V_qd_@zoHhlDNk&+HWw##*ql<0Se)_@j`PhQrUsn6l9(*NOOP`VLhG7>>
zd!e57EA6S;$?KLA+&Nh298yp*_=3s<g$xTYDBbHjUizyA0n-^d<~#(t-ZEy#4Y!(Y
zJQCZabR+2vk3D?KJMFjWuc^mD8fv=W<nYIu%k>97Wf4l&FWa(1uk`=!RncN>U1L%>
zQ!^A4;d8U@BiG<UkFm^2<gnK9Mhuv&1`7=oO{kQ{FoZxJuTR&zz_~VMGte$-ra;%b
zt{|Bxq^jC?PI*p|=Hn=*QFDH9G&t`1ag|v=OpBMFsd@~Ir53KAUH&_PSc}DPg61YH
zE`mocY<d0ICkeR6KnLQUAU{tKX#&;FNEK{@XCUu6IE33*104$pPz~5Xn*ulhdsnm%
zB913N9!MKmyPcd24lsOMLGV{N|BYQh0CE*LXp{Es19uM`I()DL-kN5(T)B7(frda7
z2ZtZHJmEEJdC{h?+DeKmt<^_~@8F!MRKliBm8eHYR*-TJUJ3gB>&9RwpTHwQ=;-RA
zXrc87!hjAuUd#kD{J$q>_697wg_M)PxA0H`ta+~@2t{hIXvNw7_c<~~LV@21?f6^C
z#J0}|RU)hiC$8$#)2=Ni{+@IaiVuFr!f6DcVo6(p5i1y<O>mr5Nt?*lh_mydO!;{2
zSpA!KOjdtHo}HkPNhjq-<R9^<*e*_}Epu2c@L_?31$kEZ^{>-YcrKAD3XX&;I!9-@
z>pB^5NCIO6^7QHNRp8C=w0|PN1N0?}a4^ZeI}RlYe!&lkdu2M;6Y4|El)lmUyrwak
zQOOkQ+so{;PV<WiI?Z2$b3PQKlasyAonjI8Ts_u!Rld3G@~^j41itq>A>R%2!oMY}
zZ#MG|BqY?e+JxdNk*ycNcVD|F_EOf&gICx4r$0R@q8@RQH)7AsbMB<KM=$*11qZJ;
zh%*W8Ihnmj$qEX*rAXwI>^+j(iK3dPjUsjVvhs17oBvxeNF_AqHm*U^?U|2`Kp-xv
zIXy40#aZs?7h9z*uo3wGg%`IpG0%IITixMguNqN9;JLlm>>YeXO;!s<lPxM`44o@F
zXErc|1?G*2)ZC*ypl!;ncU%H%@}b`z5!9M?()T|*zq!TIYAeY(!~%a7fZE5HrEzN<
zXT_bC6Q14V0K15NsSsGGDJXDGUBY7?_!g_7h<ebJifmkPn*x42*>6UiAvn3YyV~2S
zcC*<%`5pY$9S=J!6u6lrl$L~QNVO9Si*I+&Tr61_tQ*)-<G;K;I3v`PY@T%xtA@^T
z%x(pqcsH`)!&g*v0p_Q9dFSz<V5Gtvj3x_jAY|uYPf6UxJ^*ke{HNgshfXPdMT`Ku
z9d8wOe_N?PV-13v8H9a){?xm7FQIba1-cDz585z9CTYa@)5qvxhDBr^CE-@e8#}!)
z#7Yeya&%<ILkUdBTDwmZ3-7{D<eB~b$PlXG9dlnMBae*qKqQ2MDEOLjy3gBXn03pW
zCcBerRx6T76`ARKwFD9pINNBRpNvfWf2B!XZ=mMyB^GW;n~tJh5u=Y(L|O0bIM?hq
z3VP;X-HB~mm!Da5-KXMH;B&dUc*LVTq{VSaM@onKZgm8SfvCy+T9?T4di>giO>l>}
zel%q+)qPr%E$&G&hsRqO$CFYIw^O|cC>*}9Je+m-7CiwSN`YW-tpQpRh-Uv9OKCyA
z2dkU}{=&@O=A(VWFop>gy7i}Asd3f#4;$E1fGEsz7xZoXj}1Ilwf;XYfPcSmgiY+|
zf_!od)aGub;POB<3sQP%Pr&@>krV|`esOrTbxR{Z``9t<egw~<&wQGnk9}L>`6gsw
z1S!tUQHRwcY7JpY$n3?@jn<I~sy&20=jP%v8fQPpvkU>$`Z)U1OZ%*m#;D1PMT>0G
zByfD^@PR=F&5f`2MGueFK^SPBu8i*v1tBi(ZT&}3@tN($d2XB?-(U|vanLlezy?(b
z4;RRNO-%;T4Sxcf9skZ|g45dghVRdDP~c7L?l8{_rJLM0JNyUT@M{0Yy6rsIN*S|S
zJ{9pUGQ=r}wmX}*?t{YUQ9_e-{wL4lH6w)?&RD6XT?e=K=RqIAgIG_PYUZ=#ODq<b
zoMz(8gMX4v-^i0;j~=t-E1N-w*q|meaK5tFg6YUAqhzhY`lhY!2gkKbp+W$1K7}yI
zKw1hOyFG($C6iVINsTUk?i-XU$VOAc0SAuN-o7yzr^T(JAwGc&>OmY>5=88O=q#_l
zcFJh8HKUM0<jtF}kr*L0zc01U3Cn}nptUd&gB(`Rt-+caU%8DYD(6#<c%<3PPpiVD
z<;}Q<?~*{*A0_z6{k*<AUrBJNWYb&5*E1vC6p!1-FxFwi5m65>OkAEF25`mUtun?a
z0e(y+=N(XVUGHXo*PQT!!NAFr`_<K3hkgS$g{<>GRVXY;+2wd}T*S1GVI0)GvSlB3
z9C&68;_y~s>L00KA_&iNU^{#VVxVVrC4s5hwU7)tR@A^c2|TK>_Td@Kn{J<ZwrmLr
z<4Tz>uCpfx{1sVzQuuIsIg`u$$ej<2Y?1U5Pcj1^aj*ZlkDdoM7_JI)zAC-hEsj{C
zayLV!2}oiv(um(0Ghai)=L55N<R!y1nA4Buz?BuJ^tFfxwCXuB*6D|l=?Rg<4`V_I
zoew!(%ggHw<%eO<?T2<EbT;&%&6Q_*TkP(9mHsr(k|Sln-k4GG%4#F6YUXD2j}IF`
zt=<+Ef7|v;To)D=Kd#du*OFxQXF*D|{Ab(5a9pCFf$^aQd;4$0Z6Dvv|4Pz{;o!KH
zPp@$6W1Dx*CdnS3z#xA+tAwkphZYoP)cu=2Og`V+`r+f8O4`!MT;Rz(gcap@QY{FW
z1pii2oMnqt2~;*pk_CaVv84r*q#Z&!?_5&i6uvDE5KU4NRyEM*os+wdTmPVRl^kq*
z#KqsayZ~{9$M+_ma$9%zHV%$UFvsxNs~c7eYj$Iv#1r?h4?geaW+u*#=R&d>pA2(Y
zK_7Z?i##*GfcEGzoH^frc-jN3f_*D`Lm00~T9%B$&A;+z+(9UOvrW=KC`78o`{HNa
zt^%*DK&|@f@*=1GW1%e{W#w$!A%biJ|MTZhj@@RnlUxWZ@||6_-T??-Ow7rSJ2t>q
z)VTK4Q0bGiVMlYUkjUui31atW=L22RMXc`MZ}OY`_<p8rUD$t4>H60lQcRfmsrv;i
zWa<JbSfgkE_0KMM&fXf**`y|2qqy_%5~L)NrxL$0kL+}|DtwYpwNw>d5^;NxG<}&@
z{yaVKeM}XBPmd(Vc`upSn_nH0y4Mh&X4ggLi&<)2i4olPF#OyV-QnlS_Sos6kqA6I
z<rM0%C{1hVmvxKU;M3vGuUNN5u9HnuVH*ms<CY>@$cAy_Ejr=Q#v%y%cRWjn77?(<
zxoz9Z-c%1gy=zFBfFVT|=CNwHl402by#=s*@KTW1b>|Lf?JnoeL8mgN2XTVriDD6Q
z7BZv#<Q}0a3Svmr7e*_v%?V|OaZ1W$UZ+dewr7XMMK16He~fQ}(Cx&%tWg#g0qoA+
zI2&9yl^Et*=F^B3r#a6sR3&99(Rn&nmF##q9h%!VTRL3ky?ssfNN4!&w8jVTZ`a$b
zFxTrTy=#bwh@g6x=Nb4^x07^V27ulJV(9m)w`m(|PK0zo^!5X}2Q1F}E*>P?f<R_&
z3tco$!-MU?hpyaK<CpFWUz&b<?|{eJ@k+l<l$9Q3%%Yp%njAn$ed>?F9*BAnLj`Y$
zs3TpaoGYz^xe-Seh1G0hSOp<Ft^{*YviYWdNh*JnNp!=KiG7o6;s+%UzKz{)KkMm>
zw2`3*bo?T8J|Cf+BbUx_rq$Su`r8S=|5Yu|sEYRxCd%`ort&d!Iqk$lj|L{Eofdnw
zio^xL)-uu-d#l_UjfzD*`OSg85KCpS=YazZ55I6|iUaTi{ThxH7^Xr2lagX|EV@Xr
z#6t3a<)kFxR3ea1?7i^d051VU4&<yPBR#n;<a_XU72pH*)lk&Ed)zF53-l-ln@=?Z
z)mdOJ<1Y8k^!4^WImGxWspS`xkiX}7gG9mF#r2096C)MOPQG0{0*k#jSHQ|TA<4<Z
zm*f24eKktu<isPm2lAT?q*T1kC6Wiso61Y<?wDqltA187oummqbK)<j%k^`GnVIz<
zGz9v)o;!EZ$45*w>LpPA9Mkut8?ad6W)g9(CEe(DeVl!J$00OP;P69??K`na3ryN|
zJuu!t$Uy@T5z%OIM(gRpA&Htv29j|H6b<+?H{&zEbI1PpvAf1Mg~gZhMx!(%&TiOE
zgU@s#?+cctAfsPV-OLQ8>&~5L;0LJi|7iN|c&zvL|Jxo}8QCL*gsg<DO3DaH2nmsq
zj3i3gqq0-7XOd($?2%O|LXyaqNJa{ozvq2E-(P>6$9bH`q5FQ1>vdhv>p4;iaik;2
z@M#R1E2-K)-8igoyegBhzyxh#(kdOPN<}#W6F(H{o;-uR-7oX=oe)iJTUwEm6YSE;
z5tdc_(iBl(u2ATXUU`h3qT}*RlXN5sG!_HT&XxoBN|3a;*1~3rND+`z@KHQW><D6~
zFW5g`x@MHO`v?uJ4};17t2HBwzHJau&&<u$<x=<6$!9xLXP$~$A8LuP*v&-k3Z?`q
zCeh*v(=HG%5M=AOC^u}j&i*1_AIYgdI;xy4<lohQ=jjoWxhmE(+>39?n54nFBqF$Y
zCRLD&WFzFdd5}`;p;w;y;@4{`3+FA%c2UY<4?711RY*t(#M0ok;a^}s{TBmCs>a9f
zZAYXYqJb)xz>f|MDjD??G<u^fh8p^gxqEnMpEx04o1;Bmv$LF{P}Q2Fb+;dhMnSJ1
z$eTp|?`8Z0mTJT9P4u0rD?ATB&#+FNCV6a90JX##XnOE18f{`!ziO^2EAuAkjiY?G
z6YeC4EO>m~hSkjdkPh%ZRcQ&1j1zw!V3GCnCtMj0yV@{n2*yDoi^#ylCjux<0Mz;U
z{X6>p24nLJ_h#5W^g7C;x0PszX)y45WCuYX1Y0SrBjI0f+k&kj>^yXPluFHr>*M5P
z@wgKr*C=v^Fx6m9KO6PEYKI2cg6s^|9ARcQk;<xumcdti!CCh6s*7(cj)v*t-6rP!
z5O+IeP<IAS>;uA(_eE)_`n8KfJtzhMfFj0D)$kP$1%($kuhnP%pcqUf%i;8{yYpSD
z<|S|Oe1L{P#rNb(v+C(Uc}H^HQXQMPKA5dg5G;|%H+AcqiqA$eQO5<$i(A>_1LgBC
zll{wdW1szVO1NO~12!#myIV*b!R9`KypA?eVs%TJZ)5+Aa-1yvoD{+O#pu6c5+bep
z(iG1Sc0O+NaC_m5-p{Y5YbxzYS$CbMj@H=3gm@L3=k7XNt5ypri4*t-!-e(>DNz!L
zavtJh5`3fhm5M90Xs-bjC)oE{1|QlV==155S;NS7H_1p#q5e$6dy|?!^n~}(9Ix!Z
z9^gFm-ZP!u!%I^C@cyC2*DEFkFEA;=D#-Z-nwtIQ&re7_Tv=Jc6k?jw6+7MM<D`0{
zRt*fk^744&c{rOR=@?0-`g!=w8Q?vMu?ogLsjojT^$<V%CNTHs{Jf~&K9CWB*NrlR
zdv0X~cRM;dy3~ViLw0N6Uw}g0#o98oR!~({h3tctmOV;J*JXcggk+Kn&<cZkpL~%8
zR;=3IBsqVC(<*~W5^wp{L`3YkoL48P93H;|p+5=sZyi~#8GQOu=BHzw{fmXkdN5A&
zL0ls@uM2wqpA3?_BD8WmKB_x9InmJ4mi4<}y3<tc<~~|z5}}z5lk@J~I8#`6UUqa$
z%#`~@-|&RLb%y_|%S)Kzh1pD8`M0o8f|HRn=JwHOp}cv>&NTn^9MHEWgz=AOw*`l*
z`p{_d)yv~*7#SJCw-*kukd7l{9>L0KPkTU&dt+Dj^yyRZOF#`_XQyiT@Iey!h*DDe
zxkm7&|70hN6%}}#6qJ;3(}$MCz4#co7kH?lGXOuUg#l^DDLXopMx$wv+ibZfr8
zhwOu}NyfhafzGl1k2oa&92@7~O8=kX<)D3;1cZ1<MbLKpcYD$EUDE@{?o8<S9O%bz
zE@A1!S5J5GePSszR_MKcH!P-;wT+60nvoYWAmw`zA)FnYu5xraz0k#;EMY8y8|m!)
zoijTYzUy13>g+A0-r;aWsws0wOK=N2$kPDx&t6{17A+Cq@lW*BO$8a_GiPvf|3Z4Y
zq4zWZEhR#X-JG3CtzTMyoAO!ozr7IN6{&T=Y!@=__L&xKK-TNHXJhfO#MK1H^?GJH
zPNtnZ=VI;7nVP;rq?FF{KW8*Vv>Y-fe{><~>H(1!3A?txELIU<_u*%+{rYNepouRd
zsi3e7B0zf0f&hEDCrtO2mXOi=m_qI{a)y(Xy`HMBPXeq*+44QZnPo@>r_P-_8M=ji
zEGVT14*Z=;xP~aNx9{H%Ldbw@be&xAUT8yY5w?tr2KR9sGv_MYvtXEfZ;viy=9;a4
zF<<@>!z8e_x(Zj!ox$z@<i8ALd7N*ixfEks)K(@j^^G(Whf#9`0Io+y)94TU{Q=U~
zLpuCH-T&j)z_!pR@a=4jeGCPdP6#vS>7=AG(yrv4ewPrrh8ma`K2}@3`^CQFaoP*-
zU;N-}@U}PG5WY$&P3H+++&yKMa7b;wReSfr?RD{b&6Oq2@g}VUbKCo)4{Xcdbw-J*
z!gB!*z`5s+r>>tn{XHj9oo!U-$-2i6);}T@m6gO(0HZX%-pSj|Ec;~q#mVVDZTdJc
z4t>2dRTuP{&Ht^|FcaSv;n;zNKYuJ=x^VVwDbZcW6(L{v^sfAw0ZpJ)g*RvV208u{
zk!}OdfW@bo59=NmI?jf3>KS^Cx~t;3g1<_5=^lZp0BE{#=TG==*vE|*9opYA6<+d+
znekS@i@sE)Ux79%B{avm2-crDri>Xb?vv)SQFqXj;Q8RR)}MFQGcl7CwlB~&#p>Mu
z{yyob5=?s}LCC^AL|73f5S8zG1--x_S=u!COu;ZfKaB@e(-Q9{dJMeS|BDM%F4=*P
zdH)3qGcyj?F?TOeuJ-SDgH^}CfbVa)g0eDM@Q%qe;Z^it11pPD$>36U8~lEv$0yNl
zB+K;SG01YW*FTPoSWE2)2~$CM!2_M?=So50gGN8HRa8_Q%TB&Z{Ip&1dw<pGPxmzh
zMjWNTs4_1z-{!FQZe_L>4s`T)eeR9FuebNXcR%MB${05EV=^(e>eyRYaPKK2d~|*R
z;|GB4Fh~NwA%})QaSZeZbXb5l9Ns6A2q-I8VN(Le2%^aJFVTCvB;ioH8%1=oF8pv2
z?OR^_pM`}?-N)DG%}66(p59j6(@@cW`?QxPpNb#TO$v^f^Hf+m=suJJ{Kbnl(|x1?
zdZ5&zDL`b%L2H+O|37h3#f6X~HrRi_hP$#c6Q2PKN=inIcR3X8W%z*iUzwShAjt&o
z%Wpj53REx?V}c%hTKx2>PQJ0xXS#rQ?{xAGIIHivzlCoI`>a#O#?L_$2T+YNc>nSF
zZ)D?sCAvEzzaIPjzY4`p*d<{`w8})Hn!2#C-52UY2DEVi<+v4GuxTn$zh{z16UP);
zKB&+0;gr*lt9}7h{J}TSE`Bt6*VJ?YSRbz5uiDkVZ9_}4gPdFUqNa-5zFsO3Cc&;C
zVt<_vta<#S#W`!Oh#mka!pA5^YO72Csl87j&Ed>5cKku!E~u=01Ka}Phu$AZD|AY0
zc~X{@UV7?;=BZHxOtyD28_vOI6T+Am=9gQq&Ylf^YHGM9_|&Rp(?1~AhM0K=G5nTs
z-|Mnj%+b#;v@wu8+kP0`=h{;3Jzh7ta5@vJaQ^Mpwh6CCO4!QutfktYE!zJ1^CzyL
z((*n50irP4&$U%r4*;flp-4Y}L9b4)^@TH8ehd)nKFZ765&9auYuTyHLFdpTGN5Q+
zrU0=RF6Fbcvv@e;-$H?OJe<Vc%PZH|HO!_WNz|sMEoN}mU;3|?qvLH|0NI-$eMRmH
z><>TTv*8aY^XRA??Okx!l}`Q<kuj>YbnSGHp-?RV1VY$)IV-Uo(KNG<py5EYsn3Z~
ztGYUE6i$Y52nZzyGxL?FY`WWbS`5ZoO+BW~?bPnx>p@~<Kip>byRbC{w{-^M?tuY>
zgpN3SO^UpQ#ly3OA&u{a_v}$c))ro6JYP<wU)DH`@}l0~+)!PNDOjA5BrHsbuD0(x
zah-bL-R_6&a7}Jp`gac33>IkzIgKu)@t6205abmUWa*CXN!;FGO<8VqZW>h{Tz1o|
z=RWny=AT?iX(Et)1GchEl1q(rqMquxR6}(vwg@b~eZSXiQ%%98Wq7!0BfO;cW{8=%
z#~e676nTVzuolnOX1b5$V=n(8L_5fXN|)lXzCg)cSzfNHtb_(ER{shd&fx=xVcPlk
zqB*J&1~8uWWARLwa8T^f)`D!BYviPmg8h_=sw%sr`GkffX1DK?lUV;^m@A!q_~GI{
z2?;1)!P{+r^CnSv(eT_k&`gmxW0pWqODotU4T~jnbLaB@#|UR^cNjICQ8N8Ft5FYm
zWPC@KnFJpX&m(>8I0fzm!E`Cirlz*`S8o97-!GP!C!~>b1R=f%%CpW<7w%Qi@UaIz
zvP#P&jojDA4XFmDeO1=;+T2`RgW;_?Vyw0OBkXx#^J`U%Tzb(^g7VQSCY=tl5pWF*
z#Xw{3>2_aZb>has2XezqRq6RQ&Vc@({I<rVU4aBoJZ}Z*8WXW=8B5Pb8^_y%L>qiI
zoHN}Cy<TaG9zpk`+xT_?P)|sJaUYr{r#BPVXhJapvqKP4F7Xov%ri4OO6<6j7t4_?
z+Lh8}Ep3>rg}uh!y(r|E<cRy;H1DA-!?+I@b7Zs&db<mfwlHYl7y6f@(R%^wMj#l%
zRYZa_RACb0;>sZK>g0}<@tvT(ZjrQfjZ4|%DI0)942<f_Jj9tD%fw-c`#O`5Q^RU$
z@9%n?X0L|*4xMTJ65Q%h5dSV@r+c-U@{bL|S6B5&d~=n}KRwOl&Bq0{l~lY{i#l6B
z=q@x4FZ^>Bv&4j2f=C6=`WlZCkhkz>I_t|Kxl~d_OL^&E86JQ7_0MA&{-jOdnt<zp
zxA;6ox>cw{F<C&H`s+fskp_?FSF_4!I{l;U4UQHZ1shpU1haX;)2G=7M%(!PRp9M;
zl|k(mlZTDa`I)_K!TT20E)y2u!P!MOv4JqtX!M<K2XC%3y3}y`>$T(}2L8bte?Cq*
z#PM!potSa79B1J2pUCiVs`fHmF9KXSz@b~2A9mvpAOO3-BM*a7eR<|4Y4kbucFzVo
zJ7cb7<0G7~MhXU|Hdw#GObfhr273Cq#><wLJfY8FuIY3{R}XHZk?@Sp?^hHah(0%Q
zP(eXi^0S8q96I-k8Ab+=-2qN`Bnybc1=~wheC!HuP8f(kFk+H~feZfBxZi8){IJ(7
zVUPd%ztd^_Of1y=-UJ^&ZWUbTseG<qSH-0VW4tmVqFtNq+L;kYAz`Ebv6hJQ7|k#r
zzqRB-pL=Wd-#@@gzEJ*c;`BmJVo}}N3<!a@Kt}*j0*L<ziB-+cdomJDY<tb_5y~li
zqiqdi@C%?_yZG+@-YHL!KR*-NTR+JBcBjyaFvkYe8%)oXLZ1zx_Z8gj8I9idA7=!(
zCwBrFEd$pfqq!nbOY5PBtg5WTNJ1{*<AHz}M%$)?t2G33UZk^E!YQrN(yxNyP>kZg
zkq#k6%Y%YPZ*7Sx@rj(M%VO}(v@%OT;DF}g!zB4%B&}+&1B=&vXv2XYRT@w7BSE@H
z_Orb@gx|}{Ry97Q$S_945~eG}QP9#tnf7Q+vfJ+E_A2Cm2wI`1Jc_}@*?H!R+g=D}
zXJ;|+5K|T&EgB)?077sQjPpRC^kqxS%I@9g@Mp6ZN>1-OA<BG5kwTq-?g>+}e0jE$
z=r>K<=^JovPPQoS^K@<?${T;3ymqI<;|ZZ$w4qf;;ELXtFSOEv-HOCur>^ICbMe2E
z0p6et4jhlglt+$Km`GT$19qiW_pJ@VeEzN)ZVoxyB@!SI0x{mhO!M#%MSx~WYx~2p
zg9Owid9En9A*Al$q7rPtfXYKHO+}-b99LCQ5gWY!@6#Sy>6u;Wn`0gwBm1bXZzNlD
zh`@%Rvy;d!L_`Yk0|3Ukp;fAYHNlf*<W>GOIEbejY_7^GFK~aY8%fK~+=gcYOk-}X
zJ=e;CaTlhk|K#7WigdjScP;$!!7X=6qa-5b5X4;c@mYoD<VgG*i0$7Ec)@SzKkE|2
z4zY;JPyby5Qw*IZ3?RUoLR+eE)(DJEA0IJR+O@v+c3m-6OnaAyYW@uvH9g1|QZnIr
zzw4PFzeEINkqIj|zyCL*u?ssM%QF_Q^yue%<mg|)a1qNrYTwv^-A&Rd%VkTCt^f6h
zky6Es_g*G6IFZvcFwFd21Lgp(N$5U>VXDb~lS$5=($V6IN&1^;b>M3{evF5jrF}%P
z;bJ+U2F8YngBqhZE>`F9q+iivY>A`1Y2geq5_`Zi#W%vM^;b(I__lG{mKJV2`;4_8
zMC#EzoOc#)w~WD_4T(>s)cY+NM-$8IZt~TMHxKFD0^bFQl*(IAK1S>Sp&TMvcqbWs
zk(-vi#`mBs|6wc+kq4)Ja`JfK4KF;+Am-#8kjpA4_zCoAaOUCTYe?J0{s82)DTNN?
zZ%D+ic>;tNgNzMvG%yl_Kb@kYnfL=(y}|ncDkm%rrOZkidV1tAQ)e08Pe?#OC{PC6
z{L_gsV~638_9Q<ap=Qi?LiTy&47rO@kK0Ni<ut#b!1HPHi7k38nxG52Z#n=KBLbX=
zse20X@}*NAff(~T)sEml>P|dqlGD2O=SpR2H%oqrb&W!$gIiGFsNK+gJe#m}Hm|&5
z52oUgEQFUt16n+Jl74dE!ia~>2oY(Xh&w*pF6I5}>)$r@Eg7s=TogL*aP{$w{=WXj
zlNC)W5r3OF7A6`1r66tSH?q%uyehmG`Uvh-yacfkh7qiRL9X$Ir72~2ShL{Zt-VF(
zZfoqP<1QVSPG6_RCX@&uLi2fmga&pDj68}sd%)z<Y0<{~3g&tKt&-59InDM8hoL;O
z0C1`F@{Liik^0UlcM+xT&)>fvGSt-%9$e|z9_jzNAbKd{uba-ohzOx#ZKgm}dm@!v
z<c%TcCBj8{E_mW$DBUZeaG{kh%mySLyi<>QrXLwOfkn8-{m?N?E13Va&fLe@f(-^p
ziMqNw_C!MffEW#MA+fapauL2J8NHd!7@f9ga^?)Yz;O0srLO&*jWep1hywrIFSsFA
ztt-IvKIP!N${w*!5|Q})+S)W5j^v|6XWjkEFo&!#64hTtX-w9;LTP<JvIRbN1MR1~
z<T}p;oLY^3BZ^Et=G*s!I`@qAToY_iJR}u)&lwdBfC;=x&0*Io5`U*U3qC@5JwWHd
zkFoi)+vW1*ze`JC8xJa36q*pt{2~r;(Kkt_(#d+mQc2E92{IEzJ?j;kFfuSGI~I<+
zkd-XHtG6~K(W*U3o(O7E$_Gqw7lNj3r_J%+{J4>}bwWvIp|sj(A(4&<dlxh28dYAM
z?grHx$URoL=q8~yRi^6%#*Sqhu2605CY+Noz7BFjm=;e$CSwK66rW8}T-^3-LU*dt
zHwyx0Kg{hI_D+$QC4^Y>KdD+gw--t3eZaME{GI79cNlO{Fdz4r{|r4LQd&Jl$2GkF
zuB;4*nlSPFkTNhZ$fFpCaLqvV?<X|!H+p{hxKnK1Q)Om7WEt-77uNI_COc=b_&4bK
zfK40Pqc%5IygME`0Z`wBgoPpKePwxMS?1YES2i^@YQq0SaNad{ZarANz;)zS*H8o=
zBPTwIN{WG+|IY<bkT_qb0xu{3?e$?CP`}u=w^OIz`0bR^Jz`AYQeFpVOH{vj>(r$Z
zcw~YTL%rvFBuo1_8UEpfpwC6=IUZpTIL#DUQdWevh2_oP*joq0i-R@BPGfXo^jFw-
zDW3d;r{9_%k>6;0`=wHX#&;hKzYcMdy4boFBL}jeSD)rcbh(68=nfNmn{jW&o2$}0
zt(OZuE}F9VuVdVWy@=Sq``L7ZTp&$LVDcQUyJb@FK*Sf_%A@B??LrVn7x!hTTra~8
zXWzc|zCKflUHi>SMm}a8b$*fjy$JYTR#q1JS3FW+m=FUsOM;+gq74N_9X5TqYd31G
z#8}HDF3r<^e@=`^MK>=Cz^<#SagWHruwr(jqb@83fil@W<Mpv@fZU@^te(OeQ$Bv@
z`1SUkJ9W7XSq?(Ai%!n}5g)s#a{s`i!z+Y|D@u1XPtwJmkoTJTg!lY?Z|`4xE)LPM
z*5J1JoiI9_z#v8lS+m_Trlxq}{5t=0AV@Dr(j#5)RFK@g>PraF6G=(j>~?+u7v~AC
z1BaDwf4DeMX1`<e`N8?N+V)hQqqOgr&!phS;9Cectgi_AK7T%R=59fE>;abc46VzT
ze_^bjO?x}rg})rZ1rg5@so^V`YxHZVb{*Ct6FQ;jk`SHAm?q1A>6-12-mY*rod#(=
z7*M&pOJBy^YFY2MiFl<SXD&*QZ*ALta4=KhHj;VwQ|nC)NXJW^B*`3>y|ZSF(o|$6
z;AY^KVdTv>Mq0v=gSudDKX`!M7X~kI6|;}F2HE$6Nd2j=ujdtrS4gT7XDui$&hxu{
z`?jN-8;FEBs~<hF8-Bg8uz-{I?~U5x;{AJ-4&6M4!O6?(g@(Wh0|QZ`398027Z_Dr
z73ay=Bfs>|;rO?J<|(ZKL-Ay+>1Jbg!e+Iy^3<=mqq9;-27Y|8nJMuNM*?x8o!0lD
zv`#%DKtNEyz(7P7=iY~f9cKdiS*$})qf%u!ywpTDMVY8!%={ny02!+PIf>#WO{N?e
z-n;&fFQ2RXpW$i1ElAaZ{Ce5x3>p<skx+1f-{9Rt0Ym6)JiiM9sj>BW(18{Z8QK6R
zOT7k`DXl+Avanb$vsp8&g<EE@Se`p~NAs#VL8D&4Z|>cAY9q3^{aBD(2y!wG#c)P`
z;4O0i1y7#z601VDDRO=h{RJ?dXU`<&Ui|p=OBMSnR4-sVfE!?bfr7)Ydc#<l8D3*t
zQv{F`Yal#DD^R4nxWK=g>y~GcRUqoh$@TYuo!^0CjzC-RZB7V7FEqi6>jEDLaVF~4
zoNAa!vU#1<^Hyqs%mq5;KLDlGR@k;)P;6O!<ot*k2^RZkVhm#cHW2}B6(382q4<OG
zW7fr$-;=@HQeR>FDcIt*<9Nu8HLr?a!*A4;uFz4Oc9E!44B5|+_75BHnwh8jP=fhj
zl=yDYxT2wlzVI6`0$!!Lf5MvCSuC)SOeb78`?9Dg`tx1P3gD($PT0$4?l~XOS3yO7
zgDj_DvQ<uncSE&w?e0z%-l$!B8A%#`+o|||yZw|SU`7E%PyPIlPr{<Sq#QJ<JimIg
zoVH}~^qrVzV^^Ld5pH<XAJG3wf%BglQB?G0zj=bEq<bgPq5<{$il-+%Ww4n9Fb8l`
z(8Q+cjjOX@25^$*0Ko?BD%doG-@f5^g)2Hf8bpwIc(El#gOAP^FB7q{8!&!jkjigI
zm6-0%MFZ6wd_{tSVB~#uHL66yckPc;mf;(=ABuyD>*KHz;Rs7o@)Vio0e5BN2~}bn
zMF4bKzkg*?C&R@LE_LhiSG~RY0T%GpFIsghCmwXO!n0Q}5GyyJ{bH_tm{bE!9Zk}Z
z<@or(Q|VR^hlz#;A@tVX7aO8`uK@)xZ3DXq*+a^u)R&5t<T6M~3P@LKsmj7#e(|l0
zOMYtz`8<M$8mTC6F`88JyI@HR2X0mWt&LKlt<QxP#CVO}WcwoMhpjJi>`F`P`rYAr
z(}FhN*twHq^80s)8h@5|f-SPa>a%Qaxh{+Mbo@SXj<9^?nr2=Y{RdNWi2y^95szDI
zeSKRI?It=jaHJSJ(^XS!I53xi<>`-x>{VT$0l!LtaM2}#|1GvAtw)dEPlc6$c|Miy
z3npUaiC8sW9Yzf36Y|fSR;wH*g7I!(nPK_dv8!U!x5(Y+sQw7Qn?V2sxu8ikBZ+Hm
z4O9Um%ZP#>w2X`fIyzj%M(=D(S;3^adeuEi27-V```)}@VqrNtrVVp5cmXiXThv<B
z`)~V!UGVc~HNrbf;|d^2>gG71qeDwgooHu@u$X&K``@fZq#WT_y9rG2OJAS&*XK_0
zE;D%))BIQ1d{RI16VNG__v?9oXlgnNm?Y$`=iYJg)Hjg{MIGP1rM>LQNL|aoB=y>i
zM)T?Bn4@%2@_CVXNZ8@AP-zMA9~jq-)+2ta=#&JQVwnS4Y)8{cU@va}jurKZYx2&Y
z>~+_S*WFO)U{{4n4__2ZiLYPH6YSx?fR-fxX=Dlyd}ILv;17ELo~={zDIc0$a8*EE
zNS=w=(||hl{-Rt`5tP6%!Z~)1ft;hgZ29wfz-ON_Pm@Nv_Uu1@_|13_3202K^t%NG
zksFAmaYcQ-Kh9_zt_(?iICe4U0P8m|O!#A0Vd~)M_(VSscm*Pn@RDE&<cwh#2}s7`
zC-wC3cp(X69VQ2nTH|<e{r;XE-nVOX`i$e;5!VN<P^S<xTf&VZA4@iLurTLbeR#{O
zkFhE)2Cm;&2b4h|hSLfMC=jje!Zuosd}Fxh5lQ7W8ub4$1}a8C48RsssV<}mn;($c
zQc?y0_T{83eiFUCqbbsGqnM*f>rHNjEL*vdjXd_o!~9`Up(!ccy_|Z;EW_#v4Fznj
zd;pTUNPo5pem>14UGY;AKX<XsB|$Fp+_LU7Y*erYe)#;g;`?+};`d3nOQ(IH_IxGU
zSHpr)T3qy=fA`l%hhq<_y={6a`^h`Ve&-BTLTF>i>{*|s=yJ27FV;8zF(s(niB@yj
z*EG45`h55q$*irzl+bS3>_4)uu?}{9<bo$yLO$^}f5r)brnpvEfB+sB$XMCgf}lvu
zKD3nL=N|hvDdRn78UOav*RMB58Ui5$$MwEP5Z|{?C?^^x!v8{nan*oLC0n7xyK;T)
zf2r-TT|uTIY!L+Gz!;lh$}<Wt*>RcpeIV+vbP3%N;oe4kd=4J;y?&kKNpbNMP09AK
z#^ia7cFaW%9jVvHn(vf`pL!p?-gPqUIk1sMu&bgKt_?3KC~UC(?h1`-38S}IoZO8i
z8+Nqed^c|YX44exLX<h8apykKg~>AloNe{og-Yd3RnWVJx<KZ0k*(;Q&*!3u?<4gq
zBTv~I$`pHP^Xv@>YWoQRiy@()#t+^2iTq8$cmXvY+nxIP*l<|gn9jwDVKt1~wL~3M
zlyR^|m}wV=zKJPC9rPaCUp(^8SVA|fo9qME&4d`TwnpjqIOpunZ+ar|mSFlwvA#95
zd}J~VdU@cuc*nw>TBkDni%bfpG)K#+M%B0m_0xk+o-Xm*q2TA>3m+R;C)nRDcxG8i
z+&5QNDy{RIB?U%uGSRqK@bUA8m{5T=f{8rIoP&pFqpyAoc3@Jvub28VwCSAZUVn2N
zcjpCIJdgacX%K0c4sM^i`}u<UrR^z3W^1r%Dk>7c$3rlSd9v97Q#MQ*Wa#8BeU=cX
zx=M@aq>PN=zP{r}Rhp#ne@uKK8i=1h-6V~?Aw6`mz0UMdh^zb8HRW>Bg#inPp*@5h
zd9!#n*x&9&+7Ep3^~(6=xjq0OaJp;jwh4EJM@IR$J2lsr{MZ(i;o*y@RpvWlb>LY|
zX8OO`oCb%t*Lhm_&N3JuvRqLhfl56bIAjaZ=`;mLV2b(n6IyBgjgNlpP15&Q52&cj
z-X|bu7iId-FMynI?-EQvgD26By2DJOH4FpnqeW8720o^y4<SQyl*jz~DCkMgbjAIL
zK&p~?h`(4y1FxaaYLY3l0|84$2YIfy->*r?sHc-8l961L=75dY$}bjOf$o@}rWrF!
ztDFD9-Y+u^#c*8X&VZP=4?wiCGGIi9?X{d(679Cx;d*r>^du}25Y!IZ9H20<MFl0L
zO1LJ0HIJlPNy(GNeMHv+>|X}ouE^5OoeLWjzyILDCP+rDKN1_uB-qse`zNa1s=_Y_
z_MBD<w(m!4hPD{jIoIgl>Uhj)wPPR;Xlb=Vy@?4PD&>svhW~meDIZNOEoCNatT2f4
zq-m@4S;MY?yOe~)op%|xqZ_({o^pE{T7`349iIRA@h;oGg#G-Svp9+ih@kfFFKb_t
z0^0vDZ7_;GYwexZ?`XC?>Lf|Pg!nN5{T0-q<`M}4ZkF;?YIBBO<Lg3Co;|xcTiQl6
zKQ3L)y|9yqXLfY7t2<Y+;8>ZQO-nH?iGZ4#RlYG$<)Kw^IuZE+uR9k%G5);sK;OBh
z=9_z`tjh9kg?VqJd7IrdArMg5)qS3-bI{Pz(^D8;;i6=*>-esDU6f!Q<eHS3*?idL
z!_bq|CK#yTOa*)57?H7o3!&s7v>9T}adB(oA7yYB_VF+jI&{cFFix6I&TUAg)XWl5
zTZV?Qus?$RhCT--BIBPI!7PbFQm5b>!B^GQ=o#*w|0q>;h_1=~Ir;HBaZIG96KzTE
zUsyN*F<i+&pzd3?*@rXSeD$(0I^Rrw<7|a^QvEQpT%ElO%cQ^Kk^FKC0S4%8RxVGw
z+Z;#`75c>fjqHmD$4M^iRRGe$F@q3$7j(<I-MY9%(5!=eu(j4#|Fx|gjHcY7rOERu
zQo^jeb|IBmlVT)ULe%$ko{fjfvT=~T$NZr$zo~0Fu36sj;(q6haUl*E+449*BO*f$
zX1<cTiz9dA`lDOI3>d~TGHlRlVjC?abOCD-*03R{S9+amukB9gXuL;WQ9U;4h6;Mq
z$@J)c_zzc3@vSLGX?Y?VZfnc$MtG!YyOj0Fd|=&fm=k&I<_fYZR(Br>FbwE(Rg&Wz
zFIl6V;5&Nev;oQke0E@|2Hmli=aC%Fl$8rhTXIw&lMTX?(UP!<S_Kbx&Ys1LLmjdj
z^eatyj3Z+Q9DmG$G{)k<wk_ODSF0;3&>&WZr~|xsxTEMjKRkx?3xJfow6s9n2~dhf
znTp{5@}|9=n~(3Y>2pJ|RCRy96DO$K%TPtY1|ki#Mzb^_%7s-F$ZPISS~-gVUQi!U
zCoY_8Bp^iOXgC8FPEc#m_*9fWG(qBL?lj<K!)Cp_9#D1&C-n4EA4PmIU=ZI%*zq1;
zR$q2K0_J1k&fBNz(BT=jQqI1sSJXAHYQ^c7E$!sjGOet<r-A2U4Fj9?a`lOiDYThR
zQpW=ggBwSHHXb{NvV>Zz89+}*=X2u*b1y(WsIDN4&nJ)lQiqogzK7V^qIbXL1~ALW
z=$=+ieqkXxXP89%oSsgSxj?z6Io3twTOB?&z#qWWzNC>U3DEw|pde(F)(eb{^88_x
z2_xj3Nw<`mV%_=X$@~2DUFSYc<i7M-a3^%8{a*cWSd0}gtf;E$Il(yCx)9}1<>ftF
zh&Kgp9)vH04?Hp@gR>XvyqvDYj10yAM7$Oh;IXG54a8J)TUxdG-%7_F@+R0#luKMP
zs07uiTNlzGFrzZyqT&vgXGe$r9nE`*iC=nqkJ(mZ+_AE<0;?IjE=PG~;gqHSV+068
ziafjh4DQeMezp2}?dhRz{KuE79dA%&6!T?8bBs)%fjHra5uH^v8v#ScyFw)_QV{|D
z>nzE`_Im=X*19tK`O>@Q=fbM|oBiklv~sThdeH|z+{^4)3lu7zl5^W+R&_KjKTCZS
z@Ek$xb<F(UNuZnw5@$(A0#E+ny)w9do#Yx{AQo}3-Fo5tz$pKj(@{_M$KfOD-kD?e
zJl}3d9V7|pCMzBP^vkY=MB^-P6;;RAjxwL`J5n73aY}+2_Uq*#hb%v7W>&cOv#|6O
zH?_`#hV9t!*_Jx=_5J%EWzC`_;eQJ^^NswT=;R7s5~O|MuKV*mF9JbuOnly8J(m5;
z6QF~_WmtscG|6_S)9P14KD<#rrbeYXTIf?CMG$#?@4ox2XUH!l$@Pv>w?GZfvE`Nf
z>)XKGaAlR8quN60#kZLwT3G$=Mn{W0I2FD^U?;iy^$qzaFL=Aagj@CU*XMI2E?>i6
zWQ-3F=V%9`gGGsi)+wv`v9HJ4N#oj}@#3*N4`Q`TU;}_A^-EnE1Q|CzwXv9tHIA>`
zhR~1nM1)t-DLR2$lmx`l_dU0nR$p}DQ(l*Ta{R5+;BU(G?HhLULI`QY5d}OUX{m)A
z)Kq@6!q2`^P08vRNxyEBSEzBj4bu=nDkCZ&5v95a90{18_(YXBJ%NLAMe_Joxz7mW
zo8&wFJKrSHC!zRWM)|^f1hz;8MmDr)g`Mi#sY86@y=4}cf6VeL8HAq$U;>jt8Lm?u
z6Mr}^PT0Ymc?;G(ZeO2cJ+QA~hf`@HpK|vFyMjtsha;colV9_G2?_FrFTD<>=gGk-
z@lztiri^sbb6KDi-F^;rn(!sf`1inb;cLnqUkW}r&6oY}wt*hNgG{p<-VH!b-Ir)(
z4WAViz3g|v(1+RH>z!Yhx1?o-yNji6aUV7tkQc)8qgm4-I=Z8w%mtQJjn<i_-VpEB
zzWPsS0U;GCOnkBMx)TonmY&;=9$1FVo+6-AgL|#5<0GTJZC5DB$qoBXy^f8EVVr*A
zxqzJc`mWU4Npj}fEIt7qa>~x05+qtJ4w~XXx}8&P5;5(sNg5sk#Dou=x)!7-BDC`e
z0sZy56|}}>QG;!Jx3oK9V?RD5iIW6<Ax^-boT--ytvf?5_zvZhaA?s;7quypMpi}t
zZb(h=_t=yRtO0qNC78JW*TPYM6E+jrx}p!nIuCod^<1^wwXo1oq#Z-U;Hr@=a2reG
z$u3A2kdze14TD@ejxc+fp{ftIWbH=;n55~1nD11)(ZxZ|_5c9)y(3%NFfRnD=&-1s
zSF@!N9liePJbenSPYu`qx6<Fijjv$ATPi{H@&<Fh-fldnUT80+?QUT~yN-sw80+h@
zW?=WG$=_4mA=e}$FRz&+$`-UPF6}>aHvHJycvYyhMaj%$obCRg-Z1Z#k^cQ?*kP6K
zI1cVOM#sDVd}a({zr@L=U%{s9V#tv~6P6Fl!De+guS1S|j!J4vv`!p7ICn&{f=U(V
z$~HTpsCrHreLXB@#RKrz{xTT(eSKjiq?>GS4?(fGLhwWj0d&b}^-?GPWO+zYUeWsB
z*y%PG0@w;xle2wMQ}MrVA|(fVlfIYZp_0;Hj`?0Q9jSU~Q#yK2S1L&$dMOxITKZ9S
zoMENKp|)qQ;eBA3oi1hon>r~;Tc7fgkmdm1T3#frl)1no1bshjyjpCrX~xhADP?gn
zl6P(`XDib+;Z8_`)(iS$9cwoqi^FT!Xu$AiMy%*#_#yrTdvxGP>gnjQW><k#alQ&%
zCC4;jKr}Egz{{|-u<&vE>eMU)MvoehHSs#Sg0Ku)hDGI-NfrZ@xCaklRl&&{0DVrj
zk`RLp-<3fR8MRvk+nxBWt{DsLoJzKxC&)R@leCV%CWN}~8LuyKGPSiG1M`32#zKRL
z@KB7C_t@PjP<JL0aXw;h0tx|qQ2o!xqZxi{d)v#zA3V*<YBUX8-yV6?-%@`3eeL6L
z4Z=?ZP-Xax(a>sBUC&UGc+bfAtO1?Idfvk5E$Y8y0f0~2_<Wx|e{L+*a`)fr!0(;G
zoy9xS&L44QTl2yTC51#f7(gKj*OcjK%fa1h9qQBqpV$d#^)d2pvaXJ}Db|pjSB<=N
z$>RrwL@G^rzvbDp(*nw>Dk_6LJ>zphAs&|J<Q|g+sGeP23cPX>2#6^)#i27<_yz9<
zKs-EGW=HeE2O4Zhvf&&6!~%wg<X4I(gt0HrUx1A`LUvcz*3e_)d<170;W@m#=P-Sh
zNjT74WCZS`F9=u!OMi}bKRo^5En+OdjtNScw+1^AK&AC|P$5MUUaN9zP+Wp{1E+p%
zef@O1)9Ok9Wr0J2c0I|hB)t!djX}j9lat5pl5+H_H#<@!#>B+bYK6i<>B;LnMZWg3
z)OUMc9G&)HI9*)IW-ZUwEardFARz7~$!2t`b0XeW<p7cQS0xACLKKWrkU+E*hJ9`9
zCwFKsUcg^OPsSipdEe<B#_PwXWsw!eQmYE>3Uud~LK&EEqow}NF_@ztZ=qispx=#h
zvq~$?H$}hIHM%%Jk<W`e56U$Dx%{6Wpu0pIuzPLoxVLtYmPv_=Cm-^bs%?Jjb`#Gv
zY#p(QS(@scpP50x-SKFiJJHcag@uyEO)3uEN00RqfW(nmgCcjgjif{Z252X4BGLio
zX&L^hq5GIKWG-kScmXh_jYFV5{1H^)BMZVEHq#S@$N#VL4DUrmy>>+o9>(0<J<U{?
ziUONRErlEET{VWZSyMG{iDtLa#gq%V*Kj(&xPdeMdGhaTo-X7K>f4c3`mCwVY@NGh
zxE4o0rWl$<B}hrrE#;|i-Z47A_ZC~jQB!3ln>*AiQcb_yvL8K~$c~W8CI-r(xPlT3
z93|fv&0F{md30LDY&opvpA{C?uB4SGgM-m$<@*a{84^e?fZtcL7Js|4>)Yf!%^m7r
zsz11|upSpobtEAG*YBtsZBtji^boj}>dK%T=Vp_(Ab8fmnEU{fp8waec3A3OUc;HY
z7e0V782~)!Qc>min_u$?hb=4yz(T@`7}pwBWSDMw?<Or+oTLC@;%tfaVK9M|-gc%P
zdiWAvnb6%s0F-k)#)wPyRK0G31mvR_!odXqR9a@50(|c*sD@oR$5Ct?BWj=S&JFb3
zd5{X2l7z*}XD}9i@uD}sY)`2z+F<M~u++y~INrkRvr*)M5XuDm&?CD;v(VX}5$`qg
z+)ve0;dvAh7n1L&p`_Ur;7}YqmH2UPBY#y_Vdz`a+`y}ODDlZ5ThX|rT5F{a_uIPm
zDNkAOskJoJ?>>F(!I*gt5WDxFM;lx&(PTRc?v8&8${Yu!>7$Vu`H+2G{o(WP7P?3V
zFx>sUp=$r(u>rq!5NAZH&xDE15GzbOU9a=@inG;D^=@`>?k%{idF3BGo93}|iD;>J
z3-2Z)Z0+Yg8#BH{is4z8xns@PfuC=kngAq1eRYKFD=~cpEK{f<KhB%ywD@FpmqI>v
zkh9K@Tqe-rTIl*{Q~iZr-8YA_HbM7ttC|*ZWk2&pPh;P^W(S7#N}Ctv+K)P16b7iS
z!OrQ_shy`N2w2S>BMrlw0Xi7!ep{P?go2rcg)dav3HH;$=nGIt1Y`zKMetW8>A^Wm
ztFZuz#~Z@4HVP>KJpn+2m64E^ruy=A>&0>yRU`Khsm8cbZ++ddS}^Q@2_fkDqtEJb
zwN4oAN8FF-eZ#d<fxI*5V*7q_hV4G5#(@6DvP$Wk?4lj(O+@2?hC~|J(B2;LgC|+`
z?c^0-H9axbZU<PcN2L#{+~rfzk4aYeY8ud`B~EeSY{G4+Jm%Yq15S}O)jU$y;Ot;q
z3XlV^m51b$Ugt{7jy<QkggzmDk)Iz?xj3h=g2Dy_3cBx|8Rso5@V<kH2!r7KXgQeh
z0E3200Z<8HX6*4G4bWuAx%!Gm7_3f2jqi$3n$+fc2abc-e8x|DWo>=Zt}HTMjm>`p
zsmn{N=K_e`&u1Cn<ruzz%V22<`Y0a#J~c5c&IID&-SJe+`+?vg5K6H1#}*OqF!pay
zJY)af?I<6yOY$j9_(w0@T#UUCRns5D{))7rJ6G3f2hDe*GCNFxI1Wdf!bz|!TU}qz
zh}qA6=Furj*v-2F0)O=iOX@?3R@CG{Ftozog-AN+G5^OiQUR0VHbKZE-TrMyFc+<<
zL{d~S?J3Lg5Q3aVK$n-qB=@yHjV`=<4~+=y935X@Z17(^vzwuB)cxC=Yq>_(`|Tg*
zK7QPtfg1#?8-u{x<yWFR1DxB%rj3gG>R}!Xjo081Y!C5@0LmB~es8V&|G5AFtyyD;
zqJrvcm*J3)&x4m6E6`W3R%ZLlA4*ziJ?`OP(|MOfKU_{$ZzQv;*~V?p(AUu8TR(h6
z6n44Ikq6-6$M=Ps0NlfHGXzKBs+dh98zD+VMQM*l2AdQZ(b|AWo1P=Yjbpb6tH%iZ
zPb$0zP?m?_>5iiF)eThQdTc9|L>ce0^Qhf4%j=0cd2OpV%TP=fyfHo%L<P)`jmd)b
z@|BN;MQB$9Y{-DrNhc5Knrp$V3GWN?A%Iz6J3F>!D9ntnP3*r_lMop0<uz${6USMT
zH1@hSA~f(BafMz5HwOzU@Tx5d`ohexhj>ayrtzIgh5lOBYh*#)d61F8Pty)igh$c6
zVN@DuDV68_rQ--|08DX>JHLq|Lj8SHwXcSUMdUs5k{<O9?V9V5ME91uj~;<mtLg92
zmIFe62bUdxH6Gjpm7HD*^p5yLz-y?o&_G5PZ0gp?e_TZ5wxOUs7Xaa>4@)lfNj(jB
z_blS1bnPpl=^|PEbJ%X1Y*Se^pm0wj_pgc7&9=<m#-5&XeBo|>{z0mLPns@1Qs=V_
zoT_g<Sv>kVqSTp0aI>qpX(haL%inN?Ov4gf?!#gYU0U~372u%4j=2kEGu%*2qVUDF
zKT0#EEOne|%HN((fLkuWiaFkFfdlHAt4;I=-Lp8bykcj6IJEng@BCSc%REn$Nve|*
zGq?rgFz6uXH~Kdm<9wHAvjm01Y@l6xd$Tk%GeEB%k}MJGza<hDr%oL%Ck7Xnnn79t
z9=(}_NZKR7Rh5=}TwFSu`Y<S(^c)C&+KjT=cA@@Fl2xI}>A8-He^1dTCI9J;P(E<r
z!DD$S<RFi`Sbj1|HdL72j}0<KM9qZRDE6!R?p4n>o|&H34)VKti2yPqI;3--dU~45
zo}oX|5Xk&0lza^;$1dt){U-)*zCFCn<lr0N;T4EweDfp|3mT!@J=rm*FX_{i0PhFg
zn${SzeW}^|2g%s(6Cso9WfHpD8>k!D@ITq_n*HVT=UvG39vpn1W`*YhCcxkZ1ppMf
z`wS5#Sj?d1!#f8dWd{K=`r=ow`mmP0emzR^?HFAH7J9wTkh5LQWuUa?C?p8I(7N$j
zrjA^Y=n!DAK+X{}OoDa5Ly5CjCf>vWhlNH4RHa9cgy&k?CcD!WJzm?%?hzK2rW*&K
zi0u>XPk&Enk2NsxsU*TP7)G+$$wk#euXpq{U65z`bSR|0K0GIC;qTuxIR}PgOjni9
zX==huIg8NP&=3GWTBI}T=Mk5Of2PMJ#zg|h+hRcMPtr@ccki_{-2;yBkPt<)G!pn!
zs9pd4$h>fFetwElg{c1@X&es<!Mf~@^+(dTP7=Wy)i+v0oC_6Ldx^>J)L4D4fY*Vq
zaM`}XHj?*&8Fe`uF(Db88zY=+Sb;}rl{-OSlcIp@Y<0Ek*!_3PNrY!Dw#0Zb^xbSy
z71#Hcjg5#jE$*s$#eU|bDqQS{hGJsk*zN6-!q`6gdNDa$rAOMK>b$>2^q_c6DVa>5
zP#CAsuxr!ljLZs39Gg(tpzTrO-!5E~R$xXv*7|$7P8>xKbnIo5@L)nr8JxGmi0e9i
zRXOxXW9V}%n=!LNg@;dICxtgk?zZaju1|v-_`yN1zH_XckM8bD`Cx*~WoeFk@$vqb
zO0WE90B|3OB`-o}1moOo@{ynsr~$VzTMPmsEHV*vP4AQB+M1fiv1~)PXkMtWXHSb?
z8b330Hl+Q|FIsFlxwv3-pIXJ*UdH;VWIuxtSTi7#V<Q7SuZgj7Y_lN6PQ_E2bLEx?
z%&?%x@9WHvpIo%i0PpWDpON6phY$NkMlx#|X-B74|9yP5D&Bf4LR__zN92KyQWE_T
zA+n8vveI%3IWVgKCgQy}sQ5Q;Y3jy)9EzxS2^k83QxR2e5)$PA0{z^TZd0%LsKxd#
zt;*))iH?s>#}D_&J#iw_64l>Iudvyv;71i^qcBy*{=q{yubOfpCWfTp+qYU|+7;=7
z2@v8d72FjWH9QJG;dx$b4);Ad{}I0T$#w8p8V3(-N1^M4b`VF{E>>3Pt#2+Iyxqxg
z)USlU<v^x@UWa18giPRV!))!G(*?cDwf7SfeULPJ@Y+byC0_N{Wj+_E2#~Hs4IEP6
z>8O&sdtiw7F5P$BR2`jnh{7ZRevD0L{M(7Sx%9X=na}&9$huBU_~`hfQi+O+?jR>k
z)Az<h4Cp2F$S6!o&z<`qt#{?hZ?ghPh&{mL?CqVLnMr=|U{b!CsDQ*dlX_!Gcz-`y
zD|Yr2J&|M|_s{2v3)UCrg-5bhz2f8XK7!&5QvaeALkkfnV*N>`5vW#m=fYn`I8pr4
zmdG{I4z<5}zT(iElW$WIUMLc)Axs+i*y_T*23A@MFE7-O=T1GhiNp!GIzz$vXDLhA
z4_kTutnPzrT4mAWGt@9|>*?;sZeN=MX)74x9w9iix3|kUmL&@BDe6yALBTk+^wTvE
ztL6RP5F)q6tqBSVgd9JdhkL%d)$mAE#hx$CjBT6et)W86p@K*d_~_J!6fFAiFk(MY
zDQrRjLl%1*C<S0zaqlDniK($8deDJr?}n#FkyY(iJj??|@6SgK3^!MGdi>-*aW+cz
z_~_gm@d3j$<l(dv<6ruLOS?Af!R6s5(@$4X`h4N$y-Y!mFdMXc2IHK$c7UKfjy~Qz
z6VIR)CG~%7$58q*a?$+Mjyey<pFhY5^D?plZu3}%*_Qe=h0zlUj0au5XgrlQxEc9X
zrZmf7Y2hRd*iUSxmZw1c1d#`v;=OIpt$p5s8NP^&;d(ezpq1p3Os?ip*B2`w3jmVu
zR=@cY>W?o})t^Ti*-oSfO=ndo^A2P*WUx2b$r8Q$FYLIQsuR`K{i;35=;NTH%5PX_
zRIKnm+hA9iZ+m$K<wnWCx<?JnY+q!5JS_gUxUzz&36VMx5WcFc+n1Uld-WeK$2sqB
zUJ$gbzv#27MyroUv!J)irirr9q}pBN?&tBz6!&@AXaD4Wr#F%9gC8d%qds7$PS%Wb
zjWiT<aduX|`s3plzOCM!Fe&Oe)xCS-C7NC%g$Iq+aAq1!4}q@>=wTqab#=jE?x*$U
zG4&`c-U2lmjvbt31R}-ojP2MNJ&_(5X^WMOjE)|zJx=qQXWp^A|A#?>J(P_^%?*y5
zQhAz~VRpzrR-&<JFs}y@ASJ$MLV%UFZ7Jyxzu}jHa>iZ9U$pFeel<-=LRR*kZ{Px@
zwThIA3Ib12Y|pHWcfY7uzkKsv_<n}bt`Bc+(B+x$WM;PAKX+X5+AK%FnX?_-H6lBX
zkRTh!SR7-2mzHQ7-H*kV-Gn!Mcbp@Qi{K!fR9LaR$7O@z92p_=;HZB~g&n<ll{ETz
zE`v7Z<I;2{=L6FW4oi^{5<>Mva+qTex*m$yB#l+3PuZd*37*GyfpsMSFqn@Z+iZ;M
zix~kc(8ZXAFX0V8d>d|U?2UZQR#H$-(jfgFkIimY+TqR?|CMyFl9sSMwPQmx(C3~*
z%QUXA#uBJ?=0<QFt>A;pr#SA0d5QM{(ZJFh4Q>Sc{`7!N{5zO%Nbi;xE0;KA|L*?v
zrSAag3QcfP56R0<zy%)l<@|Xp?ywn4D?5*OgDWbm=2)u8i&UtiU%oUEV0x6ByZPk)
zPspqA0+)V1Pqd~g(*GX~`=(ud2fyZNkG*R5NrSqsp8{Lc;{=g&dXRTa=QBnp0zli?
zY=K#7>13``pSrA)Vz=Z-NLu&sHR_YbdDiYB)f0>}+?&;6TPoTh*3KW$@ABQ}U1Q_n
zuP4sy?ERZcu|G|8(LdEr@D}{N?$L&JIX>ET`<T!R$y%$<Pz#JW(9c0TZC?0T?a$Iu
z$`?Xp0ipaLp-GISbuTxTOT{-=gULC*>0q*f9)w1kuU-`JD-3X&p}F`km}MJ2V1uhb
zp#g#JWxj*rwPVMQ=}8W37Pz@}@3uk>TUS>HXxpu3u@zfZ%0H_wS>5KEUtXc(giHG>
zgrcb15t@RoGcZLxq^#^X-BRWPZ>qN}|I?&-D*D%2oi{gsS2l}d(aCJ)*Dpx<@4vN!
zpu~yQ1<NkFCJZVI-zWaBb)mBV%Y5lY;Z4oXk0il2Vn@>7xSqXyVR7|1(Pbj>!*_Ii
zXuQy`Kq`y0=@kZ>{vMxy7RIl#E)n+Rd2|l=EZibgphmzm+Zd76W5JAbO{J!#+fF>b
zZ19P&CK}>=JaVbYMAX6d<p{(gvG?y2m8gW`Z$S&?WG`_VuI_kDnFX}=*|Yaq6nT5t
zg%c`@X>as=NvjxVUcFAx*wR)h;{+kjp-%Ji`u2tS592xFoy&{99kX(8?NZ({gt&kv
zO+|Y44XMq}=jJ7a>cib8gBG_A|1@GNo!fEjnfa{g@aIr*(z{=S0??BkxmFf;Ygjbt
z{k^33YEvt1C;1rSwduq&|5*Aj?DhmVY~cM;>Uvf2Piz<ifZ+lh^6T74?;lzB4>2jY
zg~*!i#Tb7u5hKV)rf4jq$8l!Bw{-?=A7D*Fq@%U!mdswQISAqy>FY-kL%?1YaAz=o
z<>N~SeyQ-eSzE(A$=_M*^?~C^AF_G~HOoa;@`P-$yXfL=%Dibq1rHu%uf2hVkUpJ*
zb(sqyG!Ua08Y%~C!KtaX30@iN)D7(kd+D<W;g|v5AK1&^uT;V-QCrhiF}Q<Dg^$sx
z1m2^`xs86^j;^k)x{=xBP!q(zO|+C4yAqmG9s;5@<RTr^$HmVT2jpI#l@;C!hgJ2>
zo2l)SH?CLy*16C)mPf-EvqEG*Vpx+8UpY&ovcb4I>^-`9TH0pR1$(Nhs$|98ESY|`
zb-*2N=rj({KQp;>?V7^Lrdt2%1~C?n_wMt<*2Yx2Li>%*uAW0|0Gt5QS}2QeQZ6#S
z4q6x3;H%i?<=_ZL;XclHot)~1GuN;0+1J^P8ga?~;>hTCc^T?C(z-|LvmR||jb@2?
zA$Sl5DvKd8F$VVBgTI+WzR{mrY3x>it*%cv=Hb6mJ#4eX_-E!%gXdo}Jvpp(8gJpA
z)^GlDBT+P%3#IRDJal|C!pLWQICe?6#+S!OWr&PXMZ;*Km?v=%i)<yo4aJ#4Hriv*
z686|I?v;5ilj?fuM(q~fT|A`1B0?a<$;iYtjlvx+P1)<6qdZ_FfHi<-Ju3&n`M#=V
zO&S4^#z>eMa^gz6dXy%x>`RnVN<_*JW4Zzfr=wANE#m5c^;KleK6|zDN1wrz59x$C
zT?_wirZz~A3!f^$9_~1`w8~qc&Ye@^u08TmriM}v<??KP9F97Daw9snDYb(%?xxt5
z!&A~oX&cQ$w=Fc9^sEgpg}4YU!JIby4|9<doa{tcIQ4iLsOAbWcxLE+e~UW&LodKr
zzvn7ASx~%sw0}_!4v(bhZf(_40U7dek34gT+`a}&W^26<sZFCycQh+>neULtz?M~0
zh5UKHUE|oHfISUn8_gr=DpOJ-VzhyIqQ?;tio((crXk3_qNR@J2LK8uB3LqFL$9r;
z2QBYSwQZ!qK}WJVrM~@-XuXEh7U;z-Wb1Ts!@Kc9Cxxr0k56Kx9+szoH&?e|JoQ~e
zk^7_kISdgBDM&Fo@qTZd|4Grk@jAIUe2@|Cd)ur8gaC?&pB&IgbxuK$*qJ1k=Rm%-
zk-tQHjY?&i#1Wo-16z!rH#zyX2`}rY-VTiLBT}?GXEb;_^j*EiXvD(CFTBn$+J^<{
zAa$`HgOb6KjbQhs2=@|lAC)a^i@*j$cetrCS|Dn3W+U{rp%g{I*yyl9P=+Yt{`g|N
zGdZkO+#6+gX34!)_06o~W~Dub`2=|nc9{{@jD(R>?gO-h0M06h#QWXgl>wVS?zQk<
zRQiF_jZIySt{^Bb@YjH|g!9p~*lH6`|F6MHmZb6mYciio{!z_DRC!aY>i|bD7m;qw
zGk)AqFrE(zJ2?7ppz-9@!+-sT&6%p57YA<$8S*GXPKelJJ-y~T{BV3#xJ#U`@=xd0
zmFsQ4vl)FI`o+-y`+Lr3I~weAg`jE^V1jN9B%XWbcYw9Od$2D!D5!)gRgY9#9;B}0
z0L$wXL1LSm>yTJbN^=*@WhW4EDv4dg=+VsV8h;=nt^L{8kMfdC)Tl$c!JCf)8>LZ`
zE?ozi1n=x=B^N!WN@la_Ymx+&7wlD!Rg`X>qNTbU*f~{f{z50qFxJ-xw!y;1mRYs7
zjbq6g0!*`De7tz!1xgSR<_2di!*{L{<As6xrZE;zlaor55+iP9*OFyEI8&wVB#dCe
z8g={j55B-N22GypqgPe$%Qp?zh0ThN81t@HG|fq}51;90AP^%+(Vbw#1Ci#oX10fr
zyW)MYBVgIQwc4is&QA7Iqw&k?tskd&|3nfpIv=)Aas=OfE&H$`zY85R?j6<_FTgB=
z6fCJQQx5tXZ36@Uf0GY!+py7OBy6jU+I}Y^tVh@kQsY#Al&DXPbAUJ3$EK#7GT!um
z<a6K1_Vb3kJPh6(QB~|-Zp!t(*4fb!R;`Lw@u#XwN|+u#&duGuN8#IJ+&M^t;B5_7
z3nczx;s*|}{XK)IwsuR1M{cUY%q6959FFjMCwCrQzU1x>SKW&!J@=FMKF|>^fIU>)
zt<*gL*^eEg*y4XH_gWju5y(p`E%nK5`e?<r1#8$p)4fe(=HLJ%pxv=cJb@5!mDTBm
zc|k9<GsgsXmMN|RxPp1AUOmb0ogt3}H|XODM}N2OC5vRTHuDoE=cv4loV&1>V~?qc
zCY<igpjV%`eD55@0=BIVw%q(>g+58xE)Fq*S_8tR7;AJ)%s6dYS{h*H6QS5N#+?I8
zbKG6=QK)W~AsCwfS(@ZMeev;eO17A-nsyzpn1GPCP=`1YsyhZ`O6lr8kj9}5-E=77
zw3hI@ktrq)|1_zG@VFO$@D7Lp#LFDMtq{M!Ru$VzTtu)tyS~HF7B1(J(b2#XghfT!
z+1ZhR2Sq2?ADjn)(rs<d`^PWlLr#OX4TDK_H9#~39m@J4-UQQzEoU~CqcCe(X1plI
z{P2YEqr+j3r%|Q|iO~7eW%WR*h2n)Wi>d20iwIUt|J5c+9tKeuWK>tLWBI<el(D@r
z<Z)?OY-2u(=^&$Hz+DBOzn)^w<bSTb?d(+VQ)>LPQ7OlGZR5A?7rjJv7c)BU^I-`j
zO;C|vSF!T-t+py&`ThHDM1)1{4cKq{e@}8CjFe^s53>%ls~h;tPL=#sU07LxT4Lj;
z|LpmM#u-gRAB~6145mTmj7Ir?M#K4A(-TXkJ?ok_NeCqb)o+1v+k-&PmVXVXE827R
zHs-w2&=eqObW+c*F)yc)+|8b=S?U141K~~|wg#;zfZ?Vd^42djfd>ebKF!UVH*b3>
zR{=VE_2Nb7>T6SjpiaA!ttZLrKZH(5o2@%!I+@M#jQNrHrAwQVoYPst+RC;1mqO@~
zQrIj#`yG2f2ij&4Ik}~_UFpfOvDWfjV4XpE3Ko?%RjHnc1&}VV1ORTJ>}zRJChYc6
zv4S53I&=I%V3<~pwvLYAft>`1zW+;#vi1tY(V5Zniy$YAY|&IDPc6YX>|s8C`jmMf
z{+sJTt|&N{cTQd4rMe`8^^R>R+B&#u5Lss;BHzWY_LQ$4{@B%ZSW56-Cff3F2BjV5
zNssl^6%o+`03P1uI8nA%w9Hb-hvq&ik@Kg8#rzI@Oj7?wcsHX+yy+K$^sc^rSa7_&
zJn;Pr)&UX7B*UgF;Rf=Tu-vaJ3X&|+THjEXwy>ESti*k}BbxpNGGu6(WRic5QBE};
zS~;i3*2^)%Ka61NX5`h%C)8u2;$>(9t_UZAO&q8b{~6ySGp*K(LqUSF>%QOpzIxJX
zvU{hQOASazj%>&3x+@XlTQ1$vEc+kUnAOBB=OKRR&^qLKEhnqk85%MateAPs`Y8{o
zfhjfpIK|Sh8BYTo89?zex3KV1PJ^sRPmeCF+MwE^ob2h7danb|x<`J@x+|hELmv`R
zwT&kq#@9THw{G5iJhPGbV}4%UcljB@QQ~ls!6nWSI_2;0udPkv3K2XbJv|M15Hd3X
z8s@KCnwu*l0dJQ5^oC}pNkJ#f2HX{~RV}&YoKQ0G3)>8n0=A=hyCls+ZcPx7GTRRs
zTmPOuh4|i4ck3J_{kteXr^_h_cs5Q9l0wU@QJ`J@O@D*&t+Zy3{GF2&1h@u%w@Yst
z#W{14f@AlSL?h`V0ZO@TGNQg%i@+5?PXv4z*>X@k(c+mMY34oJ`pLEw>SU0nVmYK$
z$SU^!_QJXdS<J_?w$b)uV~3pJUgtAN!H(GT->&P8>#K1ig1e_@6P<Y?9pR{-hw?x6
zlRZFS<xg_cQQpmtU4$pBk1k6P)5={Y>vH3ObGP!mclFVKu~m-95XWBAq}U49(F%%+
zKE&g>94^(sp;J=81P=KAW}nG3{BB(X19g~*0EeEPg=`suJ1pvu1lklvjjW_yyP%QK
zyVq1o)eHeBA_ogiWObrqVgO=~e9Z2d2B$(u@G-}Q>enFDK^(n2ADd2r*;bwl?w)|%
zyNdeuOkAl%)zisE-)gJIL!?_$?AX=EA4`acj0EFk0QNZ^&%gRS=UP?C<YoVVG+lQf
zmTTO8Y|17pJ3ApsM94~3(n7{-q>O}!N+^4!lB}c>5{e=!Wv@dr5~8fEWF{2xU2os_
z^~d?+oR0E(p8Nj&u4(Rs#3}q+E|`fB>4;D{*t^j?&951#eu-KAuaW1a;XBQP1#d*o
z(IK7f?dr^%BTT2;h8@q|no74!V>~$!f=36fEeo)sPtVM5tQN%>aU*~Ua1t#wHOVOR
z!XHB5cK-YIl(SGvv+P@JBX?Gnb@-RD2lQVxx@x|es2u+}i>jyDl<hOm@1r6e-{o$;
zI1AZ((ET?D4o%AJM_?#;n%rm4PQRO&nF)kz;q<9fss#bVwG4#+*vpt7-21KR{SCGD
z#Yl<X)<>)k$_Vl4g2n({dAATTInZ_8Ol^;+#z~I0n!-X)M1etiDk&MEz=75x0IFE)
z@P<OA2&rVt7N`#3k%Qb3t2%CPgnf~oI}wCpN()H=>3kTtz)Ihbq#JpkBD8~Z)4^4R
z$?>{rY|Lhyr<Bu9<Xg1&^h92ryYR*aT(eT#<;abP2beHf6$jfLL~kJrA4Ut@Z%68E
zPkh{y`0z10MagxkfD_a--kH_ud%o)L3;LCZ_?LNqb?3v$OoZe7KrGhUtsZ3*yM%Es
z;_qg+!G2t_`mT}D`_~Nq&O(G1);9uJ9=;g(YJ4sHI4@kdV9sCWxJCVMbBuC$4PVa!
zSL_7xzxYn05P1vs%-1NoyRGfa*eKSvlR9h1OK_Ux_V(4)Qbxuvf0fsMJ>C2pjTHBX
z&K<zujm|QU{xUYgEb!<wzpOu-?s?i+%TN%N|1I1!5F_`blY;?2*<ZHY-v5rWno_GE
zBD1UT8EgIpv}aqt3;6AmA<7;F#{_=moU~senff{({C5B4R!c5G$4GR&;O9pb4DmN+
z;F=-4u~2dtSDz!FV<5dF7ThpfaK*r^c;n~9_wTsNb6oby${IiG#t{K@CF!k3W1t9I
zVoHkYF$Fq;HiSZN95Ttb{lA^y$F(ZZf8E&KouslAB0~IY3M~krjo#GdMIm$JMemQX
zv2ea^QM%VSe9ND6>fs~EROgduGUBI;Vi98?09)7S)&6Bk`#Q&nU9W>xb2nA2>Sx<I
z&MYaX>cUxSUg<YquHR;{%s3eQuR(TDHyH6e<XWo-sHij$1I&iPJLpKtE;oL!aw7HA
z)>22*h+M|xQn=9j5BBUsUxPZYNhc_AJRpy$vH$B+G7@90=`qyF)^ZuDMC@dcL1(eC
zM9q<JVjI^EdYj55isneM($C#)?O)Us*jIn8uJoGk7ScRNxS3Q7G_}UYkEEW!NQB<(
z$3=DZo=|azR3RVjpwDjn=Sp2KRLqWy?Ap0=e`p_pfrk>yfGn0Bcxa}TT{GtEfG`_}
zQwPKB(yI&WoALeE>T+_|RSifdH+h_OKEeCrKY;A7HdP7A{@dm1c7w9h)R4xxPY&7v
z!U#=O@#jj@^N2C@cr|*5T$a63{(k%?g5AOFd#<eOy`CzJPJV@93atumZh4)eh<Y!w
zSm}4s=|1H!c)rSAne3AX^xXIE%4MWQ<VyISWRv-SEr8OVJr#=`Mr0!sfJME-iPQH}
z^;@s};3u{XIV&3&81%e4FR8yTw|;*v4dmh}DZjtxJu^Kqkn&foD)&CJ-7z@%ji>v0
z47~d*AN0E!<z+$LHhx&(&b#_uZ#G0!-yp<>hr#2I(pH>gkYDE$9H5sTQqa&?FRl1{
z7Q*P3L`)q36CP<d+J3t<z(q|(+&<*Erk;QG9vhN5a4A93ZefoaxTn^yZn54)caWy0
zkkERNy08c~{-;<OwzFAKz=4bF5o5J$$)9gc2`%5ck?w$XAWHWkPFc7~5Jj)VH*e*5
zvb2h1U}7Tf^7F!*D;PgoK8TB}=A>8UMcHLwI6=$`{B!vx$?u)>-`%9lLa&nxI^T+V
zNt#=5bPetso1Tu_Qi>b`Su@kR<?e$mM3KcBLPqA>4+udw7?qTS=@>py_#dz?bt}8~
z5CnM{3O`edvzcir+3uAMHoXSMA`7xG6M^iQ$MGwEawwa7a7w1|&?gzg)S>$E2aXfk
zx_d7=BKHQfh8^5(n4ZU(`PK(^md&g7{H6hp^YX9IBTd@Gv+z0z`VUeNP<sX-pb`#~
zbKds@B!9f(w(Vu46Aa_{pzWi83KbajG3$-&F8p!WfALDs&)wyo#Pf{M@ntIFG_;`>
z4Uth%IE)gfJzsyVD=KEJ43Y_c`1sp5r)0$#&(u;J-(;j8HjUAOxxqJu>y|4SHgktH
zRD$2w*MwtD9jDv(zH?aZaZ;oTt=x__ED%R6?V~#wXU+mF0rSao2((CH-d2Wq6y7r4
ziobpxs54YR$e2-6>k}u}s(k{5KmHTfz>uPTySp+(Ca6NQv$Nx*Y!w74hMl@`7~AW|
zk4J~yvCuh}SYc;3DEPrgnIhsX63L9_?o^1MN_*W6UYl`-?UECdX3#lEe-Gk=02)an
zI2~5>)jge0Z)GlPG3(;xB&m!I>qk<$@1=}&=Py}bk#x~Uq<aG$N4XFPz2kYOE?EuR
zG>rdjm!^nk))~QZbUY6p5g!%)GNT^u$odBm2dr$magZ`_rj(ro7sW2R;G0vTHx1_4
zjsN~p*l#+<ICN3gqJ{A|Mg6d3JOEJ`o|k@DD!q+D9ZF;*#&*m%QgU(-M(p+de$>he
z#6HmM&zSmggM#aZ9j@(!0*W07fH4@rP-hiM&q&~J2lP!>6iN&XLgODY8umYa`&J-L
zR+h^M;y-YqjBmz0RY0}2<)-Ayp)rU@D^70{Kg&wMJEP6(kWIRi&~%w>x%&fo&XKiP
zdsH?46Br;uT%ldmUARM0SyQtOJ0D^lA1Um&@|kDb?sTa{D^lpA4@Hx$=%Dv2@D+Fk
z4~_PpjGGXk$rFG$B&iuXc?22M&+taE2JF*13qSh<DDyEULC*X*J9{km?cAp?tun>e
zXjlAHQ3?)hesZZT>-m2T4djRL<V*J|2}2f^_>>sMf%l&EBn9>5{`2^`6NR44p?|89
z1!X?-17pM!1qTDY%d9U$L`@MCG+0|jxxT(yc1Tze@(BK`H#es_2pbDoJGY~LrEF@N
zx!mRR+$ZsxUT6O)h5oWyJ;t6^`O5w9@~~?VQ@{RT4n=?BO#@`gmf+QdG`?f}Bmg+Y
z6ldvA6?+GN{zgm#^6fzPSlkjGRltdukZ{Dz3`+RO2nx9cs3l8Wk73i<`E_TCu|p9L
zgM#|k8#h?Pw8>&fpLMV2I>o*2z)0ni4v}4&#%)S*oi>U;L57iiFVGkx3JPvmh5DK^
zO5Q5`!;wUSIL~pWr35Ws-`xa^=J#2vK72ToWqy;^Qv#J`yV}2P62T8&dh%M&r-L~Y
z--0GQRWQt2j`(qHyuUBy+WY(z9(WeWj$nqhva{QGQ*kYa^V+CFemI)|QHf((=;AlF
zq|renn;(-)3R;_QI41B~CS2LA>6SS82XSi=Jx#94X?x@%xYx&TE$h=(ztgP#Z@TU4
z*FYTfV8gq+yMvO0yl60k4E&w(gB5iJQHAB0$Pff}c|&b3h^3Of{zhLvOGPi!akYHw
z6dk4XT~lOy21$K378X!Cswpc=aK&IdgzT##h{@@WbNB#VBO?MuGTVFF+E66Od>Y>h
zSoOyZzLx!XlpC!MbLt(wjR9<az6p0R?QJMGaHcRva0m$vbaiEc$1-;TDr=Mo^WGNP
z5acr;#PyI3#S4R*iU*C1-sIoaLn8Hgk~)Ik<isO7KYmnFRK$S9EpMy7%4917sS)%6
z%n>1n=%jL}h(|$ZQW3f*u^s_*?-hSCr}Quv%!Tm{AR2|MPSB?q*SE;occ`kA15Nfm
ze!7vU@tw0v&GstaHnojHU-Z9V5qb2u)%K=iGwjGhK*!u1kDy?Ey+mp@6ptxNVxJVe
zZga=fq0<QcJAHjy`{wcb!}Cc00S@f&EF<-Eh-{L2BQ{=zHoZ9gkSYxSHm}{-X?Q#m
z+KP`bC`fMBt@ZKXtrfbJzO`_rm2^&ktD6dj4@?TMz`|AuVNIgpC=|%35V&+{@1{x+
zaR_C@SVa~cK^2Gl4*@Nh{W0NPynNZwEw<Tg0<@%F3|Ar?j7mz#>qp`N4}KnWyjNjp
z1q5MZD$gp#?sxwD$=5#8KYw8y1YLtW(ve_x#D*zOQ9tAf(3h;c?C7XwC;c0BhX3fp
zQi<UK?uRsbt^>gqMBJ4&)%=Saf0vQO3Ws7ii{_&nS6QMRJKYW+eI1jhDx$3XvaHO1
z)&($++}E<@#V}ujgaiqU;$J=HTFw^Q@1*x1y#L@n#l8N`0yZ{ySR9I0%yQdZBLpf!
zg@p(rk7<dkGGqB_NVrL9zhcOJ`>}_yMs#UHo8I`%&P+_u&xh@q4S#en>T@LX`l85M
zPW2qJ_}@Z3u&d=fJ_N8G<I;m~2SUDew2qm$DCA$|W^RL2T9O(U6!vz*9cN!&Ydgkq
zx<7yjez||;i`~%ln<}?k7DcM0<s{saIO=eN50e{1KHyhV6B|9X=*=^u|0VWpgc{+8
z0|+1T%cb<z_gk)7$l4Y;)BylBORifCW{)Bl(;^;Ltoe@hrQ$sxj<ggri;8xloM-%o
zK`=$|Q5hs?K{|p~O1YX!q&}c%7q55GcM3ub?Po2{KN0T3xv36L;!n@)26}rh&h)FM
zy;s)IXdUvzBD;8L-_xj0QjrBx+%5QiG$1IFt(*?i^GOIG3B1)grs>|V6qA~LpT95f
zAT5yHN-d&%TZ#H>H2a};#n^LHW*@pr@yF28(X}7$ZD^3(v&RofzPqHNVZ;WV3X>wD
zE72T-a0YM=2gUIdf^^o5f2C8O8%ghj_jb>XU-87Ui|$JN<~(Fa;T^3T#zTo+Act=e
z8KGEb-~;psWb+;o_NACBGwWhLAXDWU0bs~(<4?EK=($r5a8JT16gYRgbG9b%eYpCz
znG1NW8sdc-u6Cf_FiTlw_|RKh6n~>58t8lTs6+oz#J6EQUdP8A6`co!9J0Q2Q^|xT
zh4H}e%-G*iQVynTQue+}ss`|#e@W%IxXWb4<KPICmPX#4!Ry-kdiGMS6010OJ43_h
zgo4rC`~Cb%YlbQr*}mO@ODEwXCc{dE=H6&>0+KDM9ZJ;LH#RiTC7iNX)ZEgvqx`vl
zK~z0+$kD4+1EjAqz1x$hdDw<WN<2j?Jy|mhgGGu^nuQ-12vGgZs>|5k9A^VD9YIvD
zoa(8<|DrcmF0yiki^LgY`wTcJDAGGkPLD1#+OXnX1$2X=Muj}a-PirS@l&GE!cFwo
z9M@2JW=_sHh#vcnJR<u<uze$Md_#@)gb)7o9-BUYRW41JLTa9vDQauEJv(<Eeqct<
z2U=dntB%D}hBF%C!>Bq3#=nN9ra(curhY*}2{0HyJ@zpkT6EPxql4!W>Y>Q%TL~oD
zS{2mS-@yEUIpp?PHZWblG9g}Bh$zEUgE?kv*<EKIi%VL+x$Qp!Z?b*n=VH&v$M+d+
ziHeF3&2ue`STVB{lDysmFdHsv5PZ?=?l)Gotu)x@`Ek#3+Lv$XkVyp@^3b`U)stf<
zaRvboUq3=o(c)ROKa1->tE&&CJ_e}S;|ayW6{Myu9~FGp=sc_Gr|N<0L`2OibW8vV
z0@{4aVP(xLlD@o<vhHfW#maJmXU&VY-tGv#^o^s&{JEiXgeS-TW@5sGAfWc#18&GC
zB4EqwTRAn@L0ny31Nw(vG*o5`-OjuLWV33ldq{VB1-k25V9S#)gY`nye%|esuf21u
zaCQ3`NJ{185R-@0GJJYq1K|veFdX83n$NGfotBL9=1lEq7Q9;0q%gpu@9Vk7?-Nhx
z9frn;yYn**;j{M(0DolSG>riMuq7kLS3O-I^|UImEphFNZ`fUjK7?)CM#xc-!Kh=%
zKFD^72Z1<<p2^tjD+36pFy30u579;7O7gmZhTs~GrS6>c`No9_hZi~yFzAL^-c46~
zr<dSI@KF?grf>p%?W+EBB;e!j?mxg4AyE!DPElR*Ln-#}M8eyq37eV@lBP1=B=TXU
zCn=R;47hKi<5haikoDmux9_uC@9-5J7LZ8)%0NbtWs~O?7Csl+hv32d-UVT52}+aE
zg*rcvbWnfbSipmCa>74k`@)&2eh({ryugsK7L3KLB=V!{*FtuPB8l;@@gqGdf;72J
zOpID!Et@K$h8&BHI0lFp^3J)+4t%usPj4PYBJ@{)W4l;=H5ppe59;jLZLfC2pt4O~
zao+P_Ffb4JyyoY<G&0V;=slB)ifin~TB+1(uaMLY;UL}|M3^Ndaqkkp9R;rL<x6F`
zq_mqihran62Zt%5lPD$S;;a3Jcp~?vGplaFurx7oCg6)lX;NaMDnGtnBmk=B&tqFC
zml%dts)syptRTEjWqSVCuhDt`(AKIv=hD85>Vhui!W1MWlWp5WT%_^x7?|IhPT>9g
zkx;OXo0Jdpbh#QCtLW{_srNpgsM!EP`^p;mC1As!8$xs{EPTJ9z$CN%e&z_dnwDRr
zGO}g~T2=Vl@YI=fVr#(jhBd9M6z?vUR;U1BKV*)`%*|zpd8{CvQ*$w_Sz}AO>FLrw
z5K<W*B#n9GyhSU|q&jb^Kzvwk<m>YMP~!Zn+cYt~!S4x2FB=gR6%~1T7AD&T6hpYV
z2{0c3F#wf;NhdCDScX6s;m^b>?&EV*A_0A}?6ioej$?5YyU9*~=a}Qo&&`ec9jgE5
z9;TDRH&qNy&A5$B*P8*2ubwZurX$0-%a{otjdO%?oPzy7%vSd4R`rEO_ytZi%lMC-
z;O><tEVi%+X;KFWB1JORB1yQgcT{&rfaO^E?l)9|8?5l#l>6^|F?B;2S>UHNS5vx}
zF|Ed5Ax;&v?V>zYFgLNv9dOy>^<*}#8M48;^6wsNrwV%Ytiq8K1c6WkKzD}D&JuRQ
z?!3WInA_5Xm6XVI(>oYPo&BBPgvX!9?M-;jT5*djM4uljgHq7B@IZ~I_F6!<(e}?2
zDq5Y3&|U(G83hIjqXN_EBOd}NcTlxX3FU@@UuhoISn6@ax4w7V4>dB2>KCuGjGSLu
zjrm#**jJ8d8sv0>+>O<Z0h++!CqaNz#h1%E!qQnn<K^#$PJ`6XA`w`qor)|>Gc-(E
zF0%HVe-BsBrAt^6L$x1#@sQM`&acB_f-p4aaDDguZNhf+v1+W650y+ZG=tUw@1Wrv
zt}t}ZZ@V;!4J1y#W@H}n)r*@0iy;Vi4iQlG#^o96!dg50T_>m0en?tTk^Nbi_5(!1
zdc9gmWJdJIyPb~Xg>uG+Id?tB@NxfxWFFyIbq&-vjBF@@#heb*9@`G=DC0=hMyq1J
zRRL&N=;AN|A|VP0x#0B>(*d`!j7MY4#M<QQ5RH1U(Y}6XTD`-i@SS6wDZ!P5zX{&V
z1A2M|mM<jG*O=29cx8JwUsYIm_`@qosy{I_7pn<^*x(RO%?54_;-@`f2_iD!%K;ie
z^TTzx#xA}6ih2qRPI8Bw@rEFdbS&1iArRFU=o){h(J~s~PmAbwI3|v8o_f&><0LFX
zO)LncMa_F+laua5(Ak~J%GvE_kj2b5&!!y4Gl57+kksWxNFm2P*p0ldNM8|l5>|^1
zs)U+5@Qz<Ep#Iju;ou@eQExqv1)Z?VbG{i#G||&jV?A(J9uc{*zNK0+x63u({NaC0
zb*@ql=T-R8D%*5mIG^SBj=L)^N~sWWu30;kD~K^l*s#8`mh-5{$_kqcEBnhE?!rzu
zE2rUP_>a+3@}~B-edhX^?KpM<Wp7a{r&BV1AdG^GRy0UkNU~4&kVGf&Iey5{jCZa@
zCb<*^^t7;Tf@(n9654)9B>eE^{L670Kwg857a$WTg8cY7e|7U27k78iNylUo!F%gc
z!*^jIsfU1~Ca385c**?aFCJ+9eQ8xdj#v2X{k6LrhYLQCx#cU$)I0>)K=$$_<akJL
zezoZ3@W1bOU<YV6%+N`jhHjp;mW@lNOS@B3v56nHo~?UqeWu|)B^PaxmAR{a_kCGk
z=2Nps6Izb)>MvL}@u3lDda3Um9pR(r@h^-Ls10O0c!?@j>g1t~BG++NNw3l|MkvT7
zy>aQ>G4T>~IV~}D%Vze%lIRV3a!m1;FMrAE;-9T*i2r%-{6hPI)@HSkDpaJw46D3z
z=g{P2)NbYu*Aey;2e`s7E#_Nv8`Z4YU+2GcfC-wa+NpYml{t66GK<9-ub%mxDrasS
z6qe@nw|+bsin||h6+TKpC(v%qo(ujZJvhQ_W7y+ItD!=}jIyn%0vyixg}|gUZ^UjI
zV7$qE_|UmAkNno7*N<sWe{k3@piLSXc83pN&1F&9xtWpC`ngk6eAUAUB{r%`%qB=k
zJ@P4hjH2f+Tp*Lh#Y)31A-gK^lOsom=FWvekPu6?zd;ZKt<7;=+K6+!Teoi8%|}2|
zjLQeVLJuP=5nZPz?-d-M!rTF?7e@U%ayEP%97k+zH53&cN~{3g;t%4Zt8%iT>a1p@
z)qxreBde#UCq{+Q<GmJZ!j;VG56mJ@KnysR?#XnugtW#z8-(9BCjS6$elNLM>h-ha
z7bGvsK~ELf^03nG1+AqvTYkjCLTXDj)z-n&MpXlw{~UvG>FZubq+C-4=kD7hr=u?&
z{hh~~rzJ^gD;r=d<CoSgf<Odth-}-(iu;Eg$U|;D!IKh5cd>2v#|AsD!sj1!(PDYz
z0~14JwI<XLm;te<A{de{j#KZS!omcKKSXa&OguIaGc+)G{PZb42*_Abbu8BzkKqTD
z$IZW~Gh%)a3}^;{fQ3@u*5mS3Xzl!F_>FC^V^YyR3<Df=1BW@uC59>E#V44gO!2L0
zx6*FDWUw~)mJ@>S)Nbf1+Bc%IT@;&v2{lGzF;Cd-r3OBv%<`e5M2^E=nx2nac@9eC
z7&VC*-kiT>Acl+2!GUs?_xTmh6CgrEs<bBdgj5BOMF5jxIZYx3ucYHk`5dV2$g+^F
zKlj+G0Enp&ut02CTeqg|IVY&`qfO}x8s!lJi9rQCX^{oieXk>UAkQdh9lmYk=cDdB
z!9_5>ZY3$;9*EM_X684#FGl=03DAp5^HyJM-62j{K%RR+)Zo@SEX4_ft4t!|p&gr=
znxHG7ym}vCI}F4QMY1-p7ZEGK7gvt}%YcCLCr|!EE~!KU;yDVRJ!2{G#&cy5LwAP<
z=0W7bXglvhh;)x1PF?Wns8k*4A+K#)4;?(1@;btJLx<Fo;vCq6Ivjuiz>Hzvz@4Sp
z()9nQhZ2(Pz<#On_h%P5H(60{$dr-JRqG<qABHFt^0ewK&d7^2(#3L_xl#~Vw*=v4
z1Y=Jo>0se$(IDshAja!!(8gb+ccGrC7n?fY)~y%<L0V%7hH~uUrP_vF87|Sk)i<e&
zDcIA7R0%^+NJ){<qJp5{2%*5n#Z0w;6;Ier;D_W!6_Br+g+tk1y^PJ_tDQghpK&+X
zdzwwjB;mj!a!FvOs;1@P4|ynI78hd7C_OYN7oMX@%UoHb8M4}K6S?|ajRb7uk0X*w
z5y>?@G2uT?l=}}3-vJOHAM^_129Ih@K;_BpIZhpQ{TyRapyV@x)-PIF@x9wFCWajg
zTL7LG*&y&7h|h$>W;9ju$*?p6V}YSQhV^jA4qQJi=G*iR;}%dCe1?8AT$ahFHYZTy
z7`H<rJ7f;#W+31#mWF@+#sL9IW@bB*5)@tHaioFl0JAU4A_86*B?&OlAuN@P+q0o9
zhBlo=b7So%jJe`QcK|cx9en~#AV%&41ly({mJaetTT*H^Iv1s*wS#Ex(7rj2$5pF~
zgiRFFtMQ$_z@t!ro$-wnWuR0hVrgP{gEO`4?H{DkYg}e@7`O4?SIaH<n&G(vsWZ>>
zM^Djca}rrI*&=u_s{@HmAn7WE!V326l`r``nEs4{u)d?1T|<seMRyrt!B3ILp(Sy3
zNn|CT8WMJLS}KMum0s?k?SVZ}ZCf680#@&Jm-xx?NdK<0iDxclKA7g`&pU=Zg;(oF
z=8<-IT~7=VmjB>lG4_M-=3l({s?LFdp5EeJz^mqtAWRmDCjmw>G2R_MOb`S%XY30E
zH1Phf5`<#cpZ87sTO*NNjAIKDEv&3I5lFJxC01u^f)_CV1zQPgt2fFV#$p>sy>A+X
zvK=R2+-S1dUseO4=*^dzp&@wZlGy`Nv(Y8xX%%+yT#Lt(URKhIB}jRma&F5wskdV6
zQNR^ms*WvDAmE>a&aC_*yy`gSAY}R1s17DJuZx+H5lDw(&U^4}E3!J-)Dzbt;}ikW
z<3a)$rG-2O@D#YjF;w=t*T(}L1CIwJ8oxzd@WUw6K~9pz0rCAWk5E;5o<?lWe5d|w
z+oUXO6n9p07RVCXd>YZ1DJ~qSZlCf|N^rf)6;mK2A1?pm^l0N7P*x+iV}}hsIbBg+
zA)zG0ET=Qe5Ed*iH+Wt9J>pi{CmsFJ<@Jjf2^0T82+X^raIPG$5hg+yVe|50nnz9J
z)+vb>z4=FFq@zWD##_o%62z6aaHV?@|Ev6veJVLf^_4MzQO;YH9@M=TZWUBvYt6qt
zpp{FLV*C<jo)dOgb|Y7voRo}E^LV2T3A*)PtZS>%J#T5utM_NNmxEpfZVQ19pn?CZ
zEr759HR&&mgFj^07<OOI+EewIxo~l|7#=qr+-e|nCflLREgZM?U*w|y6@fPg&stfr
z*}K%gtrllI?$-0Qk;3J~L2u<jDGu3z#`?+#dEfz27_{0qF!Q-&^P7touFx#cT#a8C
zG7!hc5VR)Qzs%gGq<(R``<qG1RrG0Y3QT7@H^4+FsH?A`I1m}}sG30^3^1anRwdu#
z_Ixb^jGv=MrLxa4y3+coB`_ZduLezqr>4;Sz3rxf!f^^fi|3(rMM!tE`lCGB{Oiy+
z0iFbX9#I2FmT|s6E6{t4(q+Yu9#Kba&o2OY{jUfx>Qx~QXP$2au@Y^VmHIv8BeHC<
zEdU;MFZ5O6$8jTiGqOA~g;&XhBZpjHha(pk)#}PhzReqDaDkFdv?2EH?k#<NX-dEM
z@-xfY!=B6>(b?Cx`m5XSMRw!~4ylddd4JsVrlIq@yUlM12&;`fIzghUv?xsGC9e_0
z+WZ(<1mmr;HbhGVL)F3OJbz`N%xfEvf?qTN$Gw}TBsQ-NZR~dxLa)s!r?UT!`-Wi{
z4uU5_eUt3~rQI6C%t^Y^(^Z`np%0Tp<k=Q4{Y4tPbK#M9o658`gDr0QIVfhoWWv$P
z9I=g+9^z1x^|Y_OKcj^F4G>OF6^yhs7@jar8%r1&7@!`x#6lM1FldVNmdoc{TyWa%
zUvk^)?S+8}OOcWZ>>01!U#If+EL4yGoWAfz`vHhskr;#wfS&|<V|edPI40y$3)x38
z=^sBuF71QZIj_rMKCXFmcuL8n8F5vGx|EfN#-F_Ye=Pv%*313vw@{k*^S4S()o(GG
z*>sKSD8i94tuL9E^zEg{hKL{Y%!i{iJl1?v;XjLUs00x3-up|&#>e+fUvSWD>{s0R
z9yI0xUcyOhxQ5W<`BOj9Fl-8|Lx%f)xuncJ+Xw{BI$z_aU?=HPC{t04JtA}zd7x_b
zq7|a&l6|)&pE9=Y7o$c-g?sOFU?TXIaE;)g1GIy20kQM{7>3vQuh*_o;!b6yFSeS-
zEDI_QQ#FP)0*S!vSqlFv|AxsIjY#IXwe8LB%8qJ`CY|_d`k6(*7)wjJ33%Qb2Wxfx
z{Pvi1;uQ^5-$vb2dT9YoNA}IQgmR8JDUq4cLel&Zy64g+od<TO&(b76WD)+GhG!n(
zYh`r~hx59iqO7T*%D4^B1%7P2DLfj1JnTC1<=dq>mE|JFmuvbC{0RCxWv8R94MZ_H
zEiN{eoG7KRvJa#N1n_n=HwI;XxCXIVOc#3E-#*d}nPoGSVbxiK@)aQ_F5Gq%=LFQ}
z*#d5#yMkI7@MinI)O<arg*yZp3j^`hsbcrDZ-=j6q-;5EQKn!h%M~9NM`kW2u4#K|
z$xzqSQY-UN1lLgPJU{eFiGJy7yI0R;KG!#-r<5}-=jR`|CD>o&<lMuHSS|DpL)_SQ
zuzp}5qj<EHSS(7h+=K++rQhQjSft5`R4DobX8}0l3}fUuG+1J@!y1^>cVk`WYA@qG
zh**`=ARq?01QBbB_!es!_9zfgK<(R3Zk3qg#t3ayECmq<0i+Bs3p`)oED>Lbry6`$
z+jy|MA)p|i*P!&Uz~psBpWygFzLq#5JFSwHl*J~eF1&gB__2ZLO=v)ISb6jmKESE|
z^l7U{DZcTc(OuBMEokw@HjLN{L>~*W*$u`1@angtSI%#uNag$ct6(8=HaA09==<ns
znDsMAus#dF?0Z4Yvze>&!TtLLp)BY3*5?Rc`5#r3+qF6$!KK>|Z!W0NKdTirUposW
z7|Q$aU!m97M-}3VqR+mUXVX46s|hU44jk%S{FG5u;F456BXP}dCaheb?ehTO`C8-o
z^8Ae3&42%Ty;@IXy}C1nA^CQ<if<2uCaKwB+V+@W@fa%FOC&S_pxw2LLzNLOWmx4i
z+Y$ROz{`vDPS?^t7<EgXn%I+8`#*n<ZVkmK-6EzZ0hK!@o%hb0nV8U(Iy5S1g(t|)
zPDt<YznWk~gWuXW`Qt}zq@uH6&u+RUhJ#t=ccTZ7Ro<574+gYZXii7)cwO6&T#u-v
zCjcbq`Z~Sn_4EiAW3oNfAx0hB7rfYZC@CWXX<PS<1tN3UNj%-C#LGXvJy0lRCkc)@
zpv52~zDFO=gS-35vuAWfmigq!NJyeS@I&bL&2tf_=fd|Ps@MIKYYD(b9Lo4F$ox}R
zziV+abF-*iU3|?0-iULYv<eJ|`%gly2ENK+UX}qw`!z}aIJ&_;PLiCBmSthGxW%8_
zb-&^<EhcV10jCjU^%*K&+PO!e_&F$c3yL2gT1ZZS=%>h{O{gL#=fDFq(kZ4K=@yeA
zvu=cd!2}z={h<TEA3QPQn*RaW=@A*GmfX-uE};>nJn0VX@u`pV?*D!Ly%O0V{^I2P
zxQ{YoyNztR0+q85^2Z&JN`Og_LBmXS-{s82y8wX6b%=udE-j+lg)&(4%cYxtwLMkl
zY9%a`STOV=yu`_&>=bW*1#{p{W^Z0dAKVAt30M}PBoVsBp!9HgLkhy3`LTP%wnVcw
zf`)0XI*|CMTm)xQ1M&F1z(12vlFs6F%yId%yvMpakb=nAEdQ79j&AVrJd~K#${uP>
z<XJxN?TyOAW~-sxx2>wS4Nry=KTr@5k#Qw7Ee^-XV+ILdseV%talJxkO7QX8=Kd5v
z`)4zDbO-z@(=Qe(^R7#7_GqRi8e=JDl;Zh%V+aBS==24(=pU$2)a`kO&mL*RygsBO
zhr*f@!7MTJt3aU~CGZKGY0Gd@ue+SIG>${YU0hR7u1ZzTeLx!yobZTQMA-GA#B3A{
zic3gPLfYVqL~6amjRsXtgc@8YKYwH6h0LOskBN)(?(j*ngs&_5A0HRtVI_7&;KP$I
z9uO@yh;ELk*`KFVEe<tB0LsG12rDZu@5N4&Jv%I*?q|nLj}IOE_Q8XV&M$zKMLz@|
zZn3+ki{io`s*&+)>d6YL**5FR0d8zRFCSNpI&cT+FJIr97BHgKz@aFz&O!NmGR@{B
zgiL}!WEb&&^~zSHZL11D!u4L<Rajda*Q~%#0}^6LwkG3;u5QplVX=QVdU`Zatl2{-
zZJqe_2OhJV#EjLnL+%Y0zflU~??)KqrX)wbgMzG|&fa2wlmGrT_4P|C_c=<KI!Blz
zeBXTe`sE9N*^BBZm;?0H`u@H6rhCxgB6$VO0U&5J<-YkM$i<~Bu!<BvG%7O@I0>+v
z9|0Pzm`TsbXl!~<qUORS*!3Pn$(h~-BxCrx1cC+cb2zI_cc^u<0=GlZ+C!;Fwg$~K
z>@sIaQi+BKCvp)4nf<IP%gX6T4LU?c)*~!tY8o~@viGES<kP&BBF0-`oqBAr3p}&w
zEe&T{p7Uxw)1eVsTss*Q`p@6Zp}<2Z-joVhs%6CCzdr}Ny!`!nQg#t&ePKbHCU<dW
zCKUmhP)e?YzO1Rd*A>Z-Q{U?6bnQiambfAxD}MX=yAu&g01j3|-d?s?JE0|!fRYJ7
zYJdUpPi7XDoUE+$eV0*n_o=%ZR|fJAh8`b5z~9IS2bhBoOFhXL3X&C<u=B(31V2wp
z#v_+hpJx1agy8|H=v+h{DpJx!5xDH=*t9DLRO!~OBR_w)v_~$UYRPVpQBYvr>JKBv
z(_?*#|91k2YaRXwDWliGmF0bFEcA1)L!YH8!0;IoxP>50)Nl=HV1FeS)!|UUg>lzP
z7^1FqbY(Z5=Occs@X#KeYcr`l-4bMSoQH>sut+4H4R{qjR<aMzS*H==PDWW-33L~j
zdHUcG!983)E8xFM?<2E6NZJLs-7TQwxDf%phgc4bALjn9(R$#&tCv4%S#F08?x|fx
z;A;*=Wo3Q$gp_09KwMy`KyE+e_W)zDDPye;$h*#;U91U09iFVYFmBtG28O9#=ao~m
zp?^YL`L7?XE;_H(=?MWLs1`vL&-*Yx>}Tb_#IG)~ELu6GeYEdCe}9Kg@eGIOl!U>%
z9ad;n%iJ{tcMk4$&zshA0ATii`UXhg$aeaqJ}O%T16o?X!l;JD4E7=Rm@t7dY_$`c
zRBRX~H&sOuH3`TfmM*b^3@90C8;duD*x0H@z0t=7uIP8byP6>dzBnwI$*QM|EPw}K
za7H~kl>hM!om0PXRYH<1wwI^`iFM(^OYH|z+qa`d%tBNoijx|=DSmYL|9f79#no`?
zp&x~0<BR@WWKHAa0Rn{w1XCQ)K*0UDik>}-|1ka`ZO@_HqYj6uTog1iW=BUMB*J;I
z<yy@USy0Te*?h%OquTmst7^d4ArN!lFD%5K8nq+q`ygCqkBW6pXr)&?(czUvdxj4(
zcxO$sv2Wji{oP4Q0u%^p#sBhUd5k}B+B^?OV8h|m>>4Vqy(W9)pNt>Q_>)=9^3WC<
z0T6QF{kUSnSV=AW`J0He_u<C^^SbzWc*@*+75T%U<H1_&u6z>vFq8{O<}m5R_W~4K
zP7@Izn{#V%`&HYjRJoQQEsl?o7GP?&x7(dU3t5oeu#ZmJfO*s17S<_)ugcG_e(o#h
zwpKT~VoP%=&d2ruZwz#9+5Q9+98*^vAV+`?uNs***b@%%QHn8iJ?Jno&M<2p9UqU_
z@1Srn3a|fBd1$i6d{^W;wtwKiCLQhld?C&Cs=?Y*3N0~qFnf1@Q4mXFs{G7vZ4dD+
zgR#>)3{cFY6nsxS95GBxY++oJo(?mR2QV?=c6d;C8!x7S0EB*Zt(tH^DW|0{{lRGt
zUq4Ep-n_w_l5V<3MWwMg27?Q}mTO6LorAaXTvMd#gqo$WV*F?EIWN*u>QOG)>}%pM
z@0LP@5B&+`#`t;Q3IQ1gm<t(GkB>gV;R5F3$75*S@e!%2s!p_C{ZC=-x3e<+^73**
zi#dJ<j*uGePpd`#86>FqDmarcTLGqkMAp5!&RpBfjMe22KI9cQInGU|Rd+{4Mk1TT
z-NVC~0hBgbu8=--@A8Z)u4xDWf|e-z?{2b;(UJ-M`F74;gE97M8vVOVo3#Jle@%5k
z@LKiH5j5p2?E0X-D`-7HqU1%;#yXlD2(4tzM+ZWJS(x^jbugY=+xp*0`&ngH6YpI@
zcPYD6YQrkuEZb?v9t@rPe2#Q<bAuZrnN|cg(EZHrT#424bl-_?6Dlny;ZU03PekH0
z>7_Q-2n5+du?OI!le_v$UX>2z9u1cL8l4wh9fRqdzZ&a7u!R`wA_@*dDjI<JYS**C
zE$r;(78WZXg4Pq%JE$tL!vejXdAB-)Op264vmaCHVYMbhW#HuUiVpo=Y~Z%z-V{b=
z=>Ghga!FlBq9rldH2^A=wZV-bX6|*&3w&czxKhkx8Tw%w@8sjh^g^xT><0l-exkuR
z2<{%{IGp;<8jn-1QXhiYQtvP@Gw^IZ*x`!5ctDAUqXFbHt{^BQPrSe05k*iDg7Hb9
z;L&Z4RT6>`Ja0LF43I+rnM*YX!NW)^8-~nIypM0bz}<~bEW_7n_+y|{N;#E;e+{Jz
z+JG+oaxJE#BT};=rok-p-g%cLVgoH@5+x)hq0)0Wdo9~#@k5n2yGbXG6+F1$lt3;)
z)fy8QSMc~TR1!s21;9rkcve?0#|nD+PQmd!NP+07RjQm_3Wd1%;<C~7?$oH7)o#t9
z;x%n8$2~<3#(%Uv;WODw7DhPJM$}ls4}y=oLN=`Lg>}B?V@^_s!r00E?;f#7IgvG9
z$MaWO)xtBol<u4(h~ukuT~9U5H~~W@`vyo*WOuouorlzMFg|+{yk5?uM}tj3|0|{b
z;J$1cT|h$gKRWbo%P2ka*=~wJsGKI(8S^L_&D${C2GF&Wvw*Tgu~uO$9&1(Fy&Een
z>@&A--){c$V++k6p<5w!mUl2q6jeYqDag-XJAYUr;U-%r4(!`wk!vw)87(p3ja#4H
z2)JexQJA}Q#h5bop_DTrC{mg29L$!&t^D@Y(cr_JqsTPsa&<|?q~37t+u)$^yU0K5
z5U1V!IApGV10Y1cy{WPBpjX`W>koA#u2%qJ1V~4gL%*G#oyD6gdAEOVPJwIJsP`+}
zXAsgx*Ef0%NvHD>pdw@Sw<R@;pLb8qo^SJ4zxTz18$XB_>8%?#?jE`W<Iok)E7!GT
zEsP_89b!gD>S5+=9I()gjEp9y@A&$^e$^dixP2L`@z6<_@k~0g*|g-S+`dSmGs2iK
z!euJ{J0K8yI<6-K@J#(8hvM$o0g1GVvqIV_0}8jL-AOoh9+;`%>h|d+9}!j8>V8o$
zNBnG(%y92}88<ekvE$n6Qsvl}xrNgT3bbA#o<4N4^wb*McXTToSZdCuVBg+YU#{2{
zQvg{s9W(#n&%wm^W^<I~D{fFfcn%(3Szw@F48P^v(|Z5nx(zc?_^aNi=ULOftD0XK
z2~UX82@oQh7Z=1#I;%A1dL3_UsFyEaR+*DJ`Xe;$&b9V4<hHKq3#&F43uo;c<3fam
zf)DPvZIoO<JndIMle&&>n_mmf^0?p{#R|nJZ)smWpo$=_<!=dx-u(sB`tEnO?K3+;
z8u@eK8>>|6m$%l21si6;(U25*{rhv)En7<5x}RbuQGjv*pWnWHR}i6qI2c;PPK@w~
zbGX6s$T+unF^-a`HEz1sXhBaY$hpU+(f#~2^UV>hl*Ii4A%%Nu($NkbHc0G;p%Iv@
z8vn<mD*V?0@nEW=p`&x0q<F<2rVR`n$~VMLx>c*#x)_UB5?b($J2~M%$4CHPCwCT+
z#WNUc=8vNcM$(s`z_1^np}Av6Tnh=})ZYObF9z;pyL9lrMV}~C21C=`U0sRzA#!ro
z{xDPKVFYRq;tAKWg;dp;!w;2uzR+HGjli`PkVHQ&02;ZB?F&M=JE6FXFw%u;+w1C5
zOIujT-oZ(uk@3t-N-EmHgsnpJ$A!!2c0}Is!5u6TU*f1KtB$I@&!d%`iTf@2`xW|C
z=U&w}ao>b|-?*P#RWsMIf5LpPyz5MajU6SCkG2Hmv_BLK-tgvWWDM-3-zK*JA#C(k
z3Zl(#IeIwNz^24%M*=Moe!am-F&(vL7QzpU-2m45FW|2k1M9#=3yB1{GCGvfZ`@G8
zw$a@kp-~D3R@CwDQBqB*ftVF!s_vr7ciVb;dIknQjC$|jiqR6bc<Ih-FW2SjtD^($
zG>Y8neFvZH2O{9J7u3WEy-4w#rjiN%3?PvYHJ5(=-1hgh991RByg0N|Ec#)s!%jKz
zXE)BrJkcmCR-Sl7)NrSR9az7&7SXQ?P`G9YAToP%wQ<@uxk$b^+Pp~UG0TK+ZQ~OZ
zlt|F}L8}v_otk}<gb4u#Nc=EV4oyu@k9w+nbB23VY^Mvou~|a%D4sQdrPzXc<03XG
zpuBRDva<0aMn>ic9WnNy6FQ<d@Ar_xqfsREZzK5^0Mfl55hsxPNJuzLB>m%W5YGbW
z5x}C#X;&AQAy1W+qv3`Z(9@yRq$R0?P!a)AdRbNgn1dPKuhiw`p?A36JPNxWwA9Ev
zWeC#-9lpTDxlujJO2T>HH3QYvz+c^e9{SB(nud^8q^tQU@7_J#Q$!_hBC1iodRgVU
zz}PO)I4NfJ<&CQulHeR!GufTu2~van(2^|aj^C{s5{81g!4b*{p4W2@tE@z2he7vc
zb~ToMT?GJoC|%IRjtZt<;_BacZJEqBpBn_ezT5gqoC?-m^PctQ%|hR&C~Q5TbpAv!
z{ytUK^C6e*UU~unD6Peow82OlxPoBO073Pi+aLEaMXXbA1a5M*jTjia2D%3Ma}iW{
z;i=-QH=L?c#bBi5?`7V2L&4A70C`T>hm54ng7KvRzZc%jzFVDd5Zb5_S}#OR;et;b
z%hPpRxv%2i>{R$A8^z|*_zTqrTTAaRci0M)2+sI(EJ`3@JVnN-p>heai)i~}y?6y@
zEOJJV*jD?|nsfp{Fc>F^1Ufm@f>S^tIMjoX$Z~Qjtd>1vMaT=G^``_+-_F1q2B<9k
zzaEu2=H*pXGb9Yj31qY#Tb{O`!Jv^oL2dq*A{a0RmM@aYBV^J`amv}e{up)htc%O!
z%#1AvD5!N@oCE~~Kv_u1*X;X^z^b-g2jr5TAwKH&!l?flSY$wR!%HJ88*7aQQy2}d
zSzZaHRRdV;_r`Z4?SXkNf|SB3em#0x>_6{d?j9y&<vpJs(_HJxFy%lmK@mQr4~+T$
z-gI|RQHa8Gywo$tzm`WVN)W^s>b0L@{fm^bTSdT{h=>fy%qE&i86(77P0rZ;uELWL
zzw49)GP{2m&Nh`kzqD&3(xn6jmo*r30#W?|W-HA!bCw!HkBctfI&moQ3Zbkj_cK{a
z=2(N#7>L88TF{m@HUgMF%Kg2Z9!*Ij8BFuJ9VRO55}ng6K;eNAA*lg9Pk!_he7wBy
z9ZNpX!RpCs-thlgM=(RqcN^j<pavp@lbTa@xoTt_(!UEGFyr<*O>y=p7$n?k#VR8y
zTRcj4i65}Yt%>3?bxv*(^@?`jT6AaBd(?SWHH1d=$QXX}nN)}}9>;hegkjXR`tr>U
z)MJeB=VO;cVh`ta`u4_ss!B?=qu$6<iJ3yuLBh*jiH3D|$^M$Vf{xsr@4{B1Ps-kj
zieivUni?BZ7NF2q9{m<%(EsvXBC&e7{i$rAHwnZ0MixYxjZIBn=g%XQ5~s?hFiIPr
zsP8WyKD_p5Kc1Q5wo~3VN+u&xqOA0dH^P72hJ;7)s2NE0EhU&6aRj?FK9Gv;mD;}^
zZzHJi=Co1lHMG%?Jfi=(uL{dNU}9fd>^yYZ$%&|Z-%PSmG~VGBN$sh#3CbnMZSOk1
zd;yKaGr?5RdZFk&&3@1GGCcyGWee5Yx!o^j%O?*$MERrG<r!<5pV>S<UMi3#YI#+j
zp`H3hC7*O{D>oIPzACLEL3be)Om|4_**VQOgPH&@@WjAig&{s@>7BYp^q;_ul(&1*
z+|Ca$9Bgc2GoYu?mJ=4X$SXJv1#XFzTgkEZ41cqN(&IY<rw*Sh;5sSep!bR@blVLM
z?U|VVCW+o3&U-F@SX=i`@ao|Y)yeX`r|G{#Z9LFfF=M$rWBF%!#o8_BpclR6UL*R%
z#<JVmlew)nsqwUjz6OUX5G$kJYw92VQh!>f&Ks+7EkOxP;zr=}NQb>QX)BmVGvClk
zT1ZM$5=-}zN$pgcdI3^atA#(<)ZekG$rMfT*!IWv`%1ZKlSqSSOTQ@hKETw1TbB&R
zfjsQk?uCFz#QcP1m5ehiXx1k4Wc>^2#ZW7i_#aSgWSWud7*6gG%ZMeY?svI@#K-yp
zbXZ5HW@Ss`w(FFw*uc!fV-^&tWdw6zHR=-YKc3u7XxY*idjoZc7UA6fsG{3(bq=bi
z;es#_R+|zbN1pmoZ}fmeY-!FFK2nBjKL}ZtM`ihunNN=M&dOp-SH?-z(ZSBeRliln
z%;r2Yr_FQ4`0_C@-~|<BQZ~6U=Y|~(4<90*g0?d-Gmq^{onZEJn^UIA-bSYy)I|T5
z$%`NUt562rcN9I#XZobHYwK9T?a2hOk^Ea9PwM5jF|`B2ze^2XbFf^YACY<rAvEgh
zColir_IfPU4Lg?P>Rdz6-Q!%HA4A;if?FeTabZia>j}A6qqMJguuyh&GACnwskGt>
z{H>6_EQ}`Ek;lA>)i1N;e{HfO>l6=C=s|cRUSU1p@jmwYN6L%+*dj(wUcd*20<Rli
zV@~zr0%2R-?N}en5RV#DBa>IqUmih%v|0+5>hN&d?=pr~882{|h+mHz`-3T>uuvh;
z1wMf)5^6y1K@re9^ZR62^Qh=4_7AG<i`=ZNkcUY<VqjtEp7i0ogv9#j9je!1yAs>u
z^7-!Gdq^&t|4%YiNBSe%@dFIo%<rY{Jxv)qo)t<hDByq_)Ri*!`(1cvF2Xn-cH#Co
zry!)!jV6cm(|@nDoJO)I?AeEo&&TOWcM#CXxk!I$fwstJp?pK6MuD?&o|=c|@tTSw
zKgHP4(9W+q9ZWtVt^3=hw5eHc5*+h2VMtrTZuT%UGu<@DGzU`lA(d9wl8!g8zj&Y#
zV_2vPp$E^p5zxSJtaLFSodjFzZ5LlXe5k!r4PjYILV}J9b4=ayE2~Q!lBR8&#_!`1
zJt_m;pUU+#g<YcBq4aE`x@+fx$Nnp98W^rw3oiPuP28TbQ{d=0c&%UWAko%Cb-m`(
z^CKFeLH=|V7X?_ZM8?%A1a{7I#C^$G-zpTHVo%&qa~uAmzp_n(^Ma%mjkCzIHLV@f
zh2uj{_w011Z611BVgFZBA$g}fSLxHrg6%hysZg^U!lKbrXiwGP_0dm6jW_A~R6(WJ
zL^~D7uYS?~cbkaEUDWo^bw601dJXgjd->&GQcr#D#-n8kf0xaS&dYk<yaBrj((~b8
z&*o!J%>7K78y@FT5QP8<$uKI8uHmP8(Jq5-PY1jQwI$ZxP2${bS_duOQj<JA3t`jy
zH}PNV3Bw~1aQRcf5mpibRts)I-tgS~{6{ajw9RTK#>aDx%HaJoAjHHfZySoA8V2nc
z#>+u)#psnu)CasGOV7&7WAz=qympEoF%W5JehIfxypZO*Gwlx{gVSIj=eVn@^P_)(
z;zj4Atc=X(*S>l0osm$0oioYif+hO!x^7_)f;0{2fq9og{gWu*$RAyO4Gbc0&~oto
ziSn$etR&>uZW(4_%9Kg$_<Q%>z1Gt<UUy15244E|Y%uEyNw^ade}tl0z4TE<=h6Fo
zG~tj2SV2Hww7c+vBBF+TpdpG&&Y}>ZiUTIis{%Y!NXZ;PksrA$@oZzckl)*=0~+<d
z@(%~?Kl%tm;sMr3qjcXPuLbVt?;|QRSxL6!&f*$-I}L6YySQIdu{rPlUklJZ)Ua9P
zR1bzu^1;F3O{&gBFL9tN6}&gv*Z)J7hr2RIUsW1`)nFkusr}41>Fu{}#vvtt0M-hF
zOS|>*x)Idw>Xmx)rpVFVCPA#wyQ9F?Jh!-S8akjC&R00lZoY((7IYnIi#KOAR+u4{
z0=F_+ge|u3@rXKQSz?9oRLMonZ@+guxP8{s^Tvn@2IbtN|2;Eq=X-Cmm||-j>M%OF
zy>cQ%S2U%C^00r7Ndy7%*T)WGXVC~0ER1!GdLI;HU!UMqFf*yBb9itSt)&>&@rP7<
zhg2y5JiKhj=C_rVweqrZp{!9p;{P*n&Gk)VJmLAN3E{H14MmN@8tY-%9sD~#haf-w
zLE1Z-hmQ#kFAY`(1vbqyW}8D>T8vYS(THe(c=x?7w{WeqI-dq~0>l3nxmUcsI&)g%
zDy9+%h*JR>G*tBXn{H-1Bvh}hpW;o17|jvion&S9W4~n9N7v6ms{g{2UF6^Uynb4%
z_xHV~grVZd4_O^*kK7mNlenf;um29JEO=HuNf}&ls>k};@`aJ*bK9l@-DNdO7BWf+
zqGm8|pt6oK*m<Etheh1;wGgRL{_DHVwypseczBmZg9O&E(0>(N859ioO)t2CfI!}t
z8qv$MS4)8(s1%-R=5kQGbI8fgiN7wAMuSgx<xnA~<J+><i5{fP;HAio`~A_4ohKZH
zG1P@i`<9mkHElv4YZXs<zTcdqx^IbTBq?aW3kRebsG0M|{q`RIfv@Fc1=OW)HxH2e
z-wTeb37l5mRQj(5r5#PXU;F#-CMNn;88u$yiK_=l2Q&%tm=de^os0we-*0&HA1QAF
z&~iAw7}=p;izBpD*`P5pGt)AW<_QO`RvmnUogWbRh_p`W+pvg;W~b*^=`nq_+*M6@
zWW!jaz{r7O%B_bf5v~LUu%qP#th(h_SZfpj$;l-l^eOsjZj;j=tVX%#?;$G`=LudD
z!yV!lcg}iv%%E)mw!YZdM_02<-8r2j!ot{?UY;K}y-B;3MPzrLnUp~z4_Zrei;<Uy
z1m{b%w~B9?pBRu|3B0`4mjG%}LZq_awM#FOb*BhV_^YMQZdkE@Tv%;uyV2$P1>-Yr
zQd1+OJ<7dZG#5z^IIi2SdgvmQ0rC5mEUc~jgW1xUho%L3PBLA;30Qx9@=(z5sPO5S
zS*^AuR1HD2sXG-Fq#4OFQ*}<R>TH<*^o1V*{5$ubado`}u~YpyJ!=i7Bv|P<&b7O!
zrJKg->-dD3=YCU}fvUCEAF>R1NPvbT0|*~{shoql&t8FF3~AVZILGeb;07?x-|!yC
zf}-eIS0uv${(?LcF({w@G^0EtrWd}EcB-|9l)r`W^#AM>BG9+y+8b6hc3v!=7QH@|
zZto@C2>pjn3z6AfDDJ(I9d%5F`7{h5JkIJy2ZUfO-k?*Vp+NfIq=jtr!uOq!0VFj8
zBSisTI=L!3l4slWyE&(RC)+iqehf<j0y`e5f>fIHjSWwlt<e@$7{2tImW0rdQ<nI{
z16ewYwA3>xW5Y-Dm8e8@%j~Ty&asIG`a>|qz{sc$)!r%A$Hs~4;zriClZmORd;$Vr
z;P*hv%aGvXz?{dABR@Urok0#N@SL?>ui;G8^6^=OK?c`2#yuw58i>7C{^Y;7k_urO
zDDg!cYkT$_vZvbdfA{gS1LQJf5B`#2@>z}>hm`4F-k~Jy@(i9m-%^k;Q&>(z(8g9;
zjJGBWTc^h*3p4V}ALC{2!V8@_K#WLf$WsJg+;xNhDt*w$3-_}*nr7nih{_q=BP>K{
zMyu%#!`h_y!Hp}CR3&GAPy~0+YJHtle7@!Ue7!)~j9$P}?`eb<5ap85^o=3yV??vb
zkKQvy6i1XJXQrn5%DhJ4*Ig-w*=7Y%*!wjSw9SNTH~ikG?nXJ6i-(78iJ)81wJk1l
z^IAu6$A`315GtR-uN_d3=ekMJ#_RQn;({b@(e9@<5WH`f6&<U}p@q}aN$#xr{%Wtg
z@0~LrPC{IZ`tq6xmP6BqJ|1}W`by8mBf}3xbRc1&v%u~P5*NuslXsqJZcq&w+sc8O
z1I6?1-8ups5Sbltj4Oj<eqq7trMo2{e_n?vpS>C(W3#gZU%zSqNcW!~Mz_xqnTWQ|
z&TZ~HMH8B|b#!2#CwsQvr*ZS~T|xi@Abh|t>gu?|k=ze+uMi7vYW%q5tcuTIjzHA?
zDa$9)u!P{TJ|@L^)Zz;^g5KT~pv@c{naA_sl6O$z1J{WvkD4I}qL1Zu0b87&oP6+$
zH+&})Fqz;9T$NG**8>g0KM@g#>G^!2_n(0fNXsuRN^LpbJnH@Ci(I1NcuR`TyL19s
z_!XCzJp!*_D^1GEkn9(vKTY#zO5%#h6`kz#YE3Dav=K~@X!!fd1x$Cwbc{8|EB=5X
z;2{FR0Gi>n(V29Xq1!iZ%zZp^$QQFmaWR4(5z7o<pT6LOoOaLj()+YMR4Y@@zNl5V
zGS<*7lX^3yWMp0sM{f_k(!Wzbloc{8Jkm;hOm_Xo!d|xcj0wb)pd$ee(eJN6!@S+w
zE1lGwBxkcXWyKeyBa(YebI#Yt@*d^bB?4W+!CC}5KqDb}^6VyDnwawE`J0d{68g6W
zq;0`*H}tl>nqE5@R_8D|I}5q)T4N{Ep)Deu_WHWI&_LOC${*EbcqTnSFgo64GAR*r
z7ERK-$Iih{I(;<w)nBITCxYicayED&kl{&Yws0i@QF(_~?)3qWQpkQms<JRM!#{v<
zHzbDuj=<j={u%u9-LpQB1_d8xp-Ga5kPQ#T^XIot^`b8n9~6jVLsAC`?0pC6mg5CO
z!%ddv_(%a$B46R8aEG<LSh=*mz@gxFUWZGY6!!jp(Zv|aDiVt8UxbnXGQEF4MTs%W
zDer2WU}9!Ae<Hqb-<KV++w8bCR%x|l;Py0qcUiS}g%EZLz^4YQqpRx^UD2VO`t$y&
zN7f(a=DPe@Ul-NI*VL{JVuREL*mFO{Ho-r0X{J`x*J~Uz?jMNf-Q_$dkcQBwVym-8
z@-O*QNayxl3b0}%;5B|xTDqsft9z6*d!%gqKv{r@hs{+Jmf@_E!ij^EK|>oa?{&zv
zMAHVJI!_E1Oy@izd918{J@R&frR$Y^DjVa6B3_N{?dg9-zqM9B)CHmQUyhQ`p~CBi
zSCfS;rd1T9e((G>%$_<&f7r(6?_dZEWC6jxs^*!63W&7Cz;+3`8~BZmm1<S**bq-@
zhOnRto0{Ohzzt>RFJX-*Z)_-h{X(NJ`WDOO@u$|(H~%wAo9ngb?5=Dw<dU~t1K@Gw
z2)crSEO&qXI^+EA0Lk)#>+WO)9!E=<k9}vqzD3l4_MXJeG4Mc;`(&e^A9V1o$|4;(
zDZFss+#{#+6%_g!ewk)ca0=7_e&xsifVZRe5|S(y7=#Vqo2kA~(4x8DIT?D9H}=b}
z+mrMR43@9F#m@$U5CnS*5Ffw)@P+WFw`+!aO3!83K7+X|$9A50WIj1JS7@4p1i(j1
zbj{CkDk6wv^QZ<6y`TSnx#ZS4<UV=wyw@F~;BMCv_1@g>DTo=dOc<C;q>57F?}O!@
ztm{rO)=j+?(+>Or+0d59j?q-YL+I~sk$mH=*$-~HP|A>J&yjEXQ1+ezx4ugQlpvGz
zI^<!&1i?#CXRp1PP32%?L&wAACh;T`!`$1t`b)rHc|irah`sLjgw%=}d;_EciwW6g
zeCr*1Jl2~+u^nZ$OXW8|$imzWf8aa$?b{(kGnYvObBO~4b1stCB_&TQk~4HY2i{#V
z%|ZKG_>)YD&^m|SilB;`p~%?SyVu0hD4|C<_qWc=+QH$W+4WC=FxuNilA7UikgFDq
z!zRq%fY3;@N}XEv58sMpk^Y2HW+f2zq6@&-HE?-v@-<z&qNN2E{^9${a|d#dDl+Q)
z<P>_zkW+YmhN6BzyF7aHHD!`+Fg)k~alAfuW&W2a;-P#L!M9c`lfGR;8ndyOP~C4N
zow}B=yS0`ofsx6~J7lh!)7ks=YpdU-5tUX*SCg^<2PQS^U9o`HNV*0>Q+<7Xo^V_%
zUTy?Rp6;6FfOP#do_>}^;X2&V4lD|6<5W9qIYov!dBP8xn7nUl!dYIu_dseKDm_p+
zLI&e8p^-C?p-uBK+5*@a6|M6>S$nJRf;nN_2OT2Vo#T0<3A@d6Z!<T{4q>kMI3;je
z7oA9nfpcBF|M#A6@T@~P28T<KV5P78;F)a}%={4xTx)Bm0t)Fig$=*#^B6gOHcHpK
z>(~j3vW<N|3N+4YriZNjHd3%GLd;xJ^C>01&XM_kd11}BNmaXhSEl(0v)rQyA&W;F
zFvZ|^ar&P+$F>Uk3$=Et7QXHBAMQMo5wuE+WQ{%hid@y^UT_x`41ZKR`DwDQPTTDK
zbBsNN&=!*)f6A0-h<j_2{HDu#`kQV083}}{jqHKQ_sUQhH;@te_mwxf3rFHter!DW
zzNI{1d-=znil7Z>m9^bW@AzV;v#kjHi^PRKOoC9{7>Kds7{)G+`F>qe^LG<DB@SgM
zm%qIBMPxxYfP)o?0LYDSkPXs?3?U2i?expOKqT6KfxC)qY5?coXmB9%{Ns`Ksb9Ea
zB@)tu_BvN*w0K!NI*wr9#L^D*zwwd>&;jny@CTdhI_B?sjUvVpEhuU4$p#(`vu{(^
zC>|e`5e+`8+=q!xYW~4LQEK}cBzb`Xs6PBZG<|nG*8TqfW$!(UkYpvZ>=DtBO+vB~
zlI(<R5t$jGj1ZDak|cYRtRyKBlC+F6L%-*B?%%h6&UxJDKH~EEyx*_aa|*H=`^Vt_
z5Tzx9hwKC5lyNK=-z>qlh_p9&IQHy03<`TZZsqOAkNSx>FjfJDv(g_x=+K_syTkPu
z5xa)g$!-;vLx3OmW>}}Br?)GViAqU9)QEo@2aPHNLUi8Xn46vDLZMx{ZfMs53q!+x
z#E4=Jg84=({|>taA|o_4!$DR<!OL<6RA||wN9sd;4WX!pOuBrSl_xBgd2zpH+3+KL
z$g)@JJ!ob%q(T+6>3S7Gd=Oqch@9E4#<=OKsOEI%w<8gX`#E0!;o)=gvmXx}*ExV%
z5)_Ex5ZPQ?93Qtq)U}Qf8=o%%=%3m`ISbKLrrRNGC8+6zK?<Wam!!2n<8+7D81$z|
z9n&o;cx$Wro21E2{*<{nX{JV~It3pWPgho~YPihJS~{STA9L~6?ueee5(umHQijRb
zP#0-#yc}@KT0Q)ta&?i`Dc*9^*bWwws~1<+-syEsP=7b>*oRi(rmstj+FXO@@v)nf
zA`$?b{G|GNTcJ(4h}H#!wWK7l_ZVN1vv)|%C?5=f>En7^*KrQQ$%iB^;NJQZ-nGFX
zun}!gURoM!Agr#=cj)wKo=z{QFz`|)_OaQSZ3t&CDkb_{*wW!6^R5|t7%;ikoNe$<
zLaWV@c|WsGj3NUFLug46(LbXWu^hP7Bh{#vP)viT>%-IYrWlp$SI2oERO@HJB#YMf
z@u~|Mp3!9w9w4PtiN$O>?n%@I_*Cc^T#I9&(t;fLDJI#mx?G&)Sn6Zqcma(P3(XLi
zw=xp{qdZ)XG&;PMg0M5;3&cT_w(qDN|C+*VQ>n2>f#ZZ}e%j>PaW^H>xLpL8Fz58=
z6Hg`^n9;9%PhV@4n)Fr1?`I7@d5)1L*K4}rBlArs`zNP^MK8AWd$aII*vmaTHKlR1
z*;`aX0>kb&gzR*;Yci?@#`rl^HW&z>rl(VLa~rO#{-R+zDsbv>pz#6A3YY!kYYgVJ
zt^rs6C>l`_&h@Uf@AIE@x|*<Fe!y?~a_HgH8hGWreSA9SH>Z;{o>@p_oSUlp&|Gr#
zE~|Atc}4TuoZK2D0f=0|Bwo^$D@|YNJ7+R3HQ39c|G$#lqt8QNa;WTAKOq*`Mex5r
zINpzUtbT1O4p*`EX#=N+^7=hhi`~VgGL!Blip-r}X;kRElFYb(Wd-{N05`NgD)X1V
zJTPNRj*MsQ00jkt;*>;Nc+U(*fH&3ICiH24VG0DGgHk>P1&kQ@a~anhls|C9SS-=s
zf!DOPHPSFvS19Gb>?`0_?*Zq^IrpjJT7{h8b}z(ePz(}d`u6YN`zYcG2fhmoz&JK~
zGNkaJ<*TOY38V4>*D3xPVhRciBlX(<EtiL4k=ln&%0n<Iq87*0bO>C2>Gw<w6!^=M
zlFA=GEP8DhZI6Y*palMGM7BD<MuXKZFhOK8IyjmzjJ`P&`K=Hp9~5*#PPLwAYh%L*
zb6)DBH|xB=f`S<PsT-#4;H5;)8M-ddP}h^hGBjz&tjVL|6mHqqKq9QH0?lWHC%(x|
zIuN#$Z}paNbHCm)l$kTty_VZQo&Jk5GTa<-D^}q3Kx?8$4&?_nHsg*<&r!$dy1>c8
zA`|uN<%~D--gpv@zzGXbCHu4mM&*Oj(uWo!L0UiCE=W9wlTc7F!h__Ju_n4a<KvS}
z_|I}i5T07?pLhwu)7Yfvf=@D3LH(y#bhMe}3Da`n><?LvAD5G0NW5(nd;bO|xa7tx
z=|eL+OchAu%{gWDxGU+toXA0q-kCjC;t&K0C!e!aCMmeHCYH_{jV5lB(z_Gtii*c3
z7M9x3<A~b^qD3tJsoi%+zL$!~pkybqTJ))fgl`^DVv)Uj;h&}=Cm#?pxDm@kBH!>C
z%}9?W%FN5K5FY>Il3lW(@tH<C-@))|Ol1^t%x~GHTO^BtZvTFL!5c`0Bi^#mtT#7U
zgzjnxp|9oZ{H?HCk{lEf5vB3)kmA3A4n0tD<598Gia`8Eh-Pq*%{!uZpz6`%KE9l?
z@+~bBn3wcS^b!Cp1K5@3Ueo2oeuoocDwGEDFb$1=fSz7#F7*&Y)_A8Kv!J-|k*xiJ
ze+qL0HrRcVlJLY8S1U%_yEksFAmQ(py^zkZzr!BBZ54UWR@bBN>Dwp~>~zihWu>q@
z-PLl+8{q;yi4f;Cv#74_AUL+29g2*h(K@W~HZ+3Arp05T?dG23m!C(heR_%ablIa9
zu1H71iaWzScYN0d16UWE`oLuf2MpzVOb>{ZxsZhYmF$fEkgUY!C*r<Mhl!&|U(qay
zOTO?E%hNxC5)!XEJ4^2EjC(uv(%Gx?``Tcts6YA1i>U6d2kYO_$a|~z3&6Y@c0=o=
zMa#5!|4m00YsnE@>V4l{=;d&snl=zA|A4kDO&`x1iU#o2@*Q2KR1Myvn)VLlHSw1r
z=C`zeILXktnvJ&Ql~X0^9lITQJF$TxhW2;R-DA!=VI%@_M<DOO!~E^H=6TZb=|tC%
z8E>WK^Ak`>1CB3p6D^rOvj4Hfl}}CKKx7vtjN-+Ac;WZfBOO09Cq#uP-xp94LB|Z`
zV1s!^hiS<W8VvVKNVxqkDJgnM5w}&z&?P@VXs4GR$|Al@!DC#{_z_w%jvZS=c~W+A
z@}c8pSUaIH0we-T4Fj?b19~GcNRyJ0g&Mg&25Lael`bmM5l>IiXYP3dZXL(Yr%~d!
zuDc(51hhqq9}LV7s~v18(o^_(Q`P}9J*y3lyUo;>bH3k}1EE89D+L!6Ll+0xH~cZV
zC*^wR{^}_fmQ7whe?^pBsXblKL6YH<(Uw9P3wQMHx%h=_^mF^K#PP<H0Q$qb4dj)c
zkr7A+Bm&*<$}tsyb3)t`tOsK6q!Oor=3`}k<GPHflM;So>OtVA0|Np#j>Xs^teXAV
zHhPnX=X}wxPD|D?&!znuxES@(+%8oD`@Q6y@k?&BQ4vhp2X^-Qi`dX+f0dhfaMfQn
zu>H<HN#4Ej6ldKxdwm1LYFO;Z$4QORfLH|W?GZf=0}rw<fM9*<duCYsO1N)(o|D~C
zL3Eq9*rKolStk3ZlG^FMIK9f$<iE;kid3Eh!e)v(oflnP1SYKzI`r@hwgq41<4-y!
z#;0i>FK%CRb|W0o$hOb?cTv}-t(w7@L|Ch>4cSg`P}BjQ1zY5FbeexvQ-!lY=;%~Q
z+`{)phoi$?NP=I4vVZ9`4g%y4n0_ShaJuvD8#WFOcJ>3?Sq5b!MrFfheSmJ~ylapp
zN@O_!H^?<K<DS6_2pb@jZAeF^`}6((rUGi915htQT!jLgyN`M>vcMmU=OGXcCjUs`
zfH!|&;f0+5t4;04z9(*B3g&&0CW&2y2bpp2nBVcP{k*;QB#q22&syElhY+SGTnpDf
z(*6*O*JsQFM*a8MidC`AS<&(L;V;cSdBKkn`^m@KgpnYce~k|Y^T2wWd?S2+Mp?5+
zYl8)4(CerU-IoNP_oZ&_xzk23y@q7h0;WVP{hiq4gJPND7VHNV$`GzeWS$UeiCI7$
zZH3J*Ox4Ifd#^8XP~b2@QKu4);no@N-ngTmgw!f&haOjOyFc@H&wR|9J^dVkN^q19
z=q#?Rd>L5>Ab@OuafzUXD_tGpztX%n1^Hv`pKmA;TZ}O{wJd!&&*ytfan|hp+8&b$
zkNEaW^sNZem>;V_6!+rTUAwd+N@c$3CZ(^syGN@ooWhj=kW;j>Y1IR%=xN7<(0ZV4
zg}oOPK%qf}b{GZ@pbx(_k||e!^ByUbk&`pU`)38qC{U%>y${UGa0cT9M>sBAqQ{SS
z1J?s+iNKmlhxY4xjwUiE?M>~Dd9CRCH5uW(U<#nkg@ZwCPwNvmA0JEx2FH(|cXh=F
zjHD|lQJxBqenjgZ{7;Z2`TF@ikvMH?3MDGiIL}C)3Jz8~=gb|Qf2$INce?KI+qWwk
z4=5`?{KN#hCuJP@?+z7!%m8$Ocl!3ZIWq7yHk*d+oe|j|bx6O(>4oCE)SUj9451_F
z@87>w6vhp}4G&$-$T)?E43CqVO&`guoLHV$>-@f|ob2o$)6=FO&Vxwm;d&wU(4~2W
zHrY_>-`-9ypx$_oS`I=Dq%^&Fmz0oWaC8upiy`Dv-HzDzU{1=B7}1cGed65D2QL9D
zt04Q?griWR!ar**iI__z1)mn^8lT)P_Q_T9DIO3vEgwl0y9|*~O~r)?`D_DcXJ--e
zMZVye>({@1{d&g(CSQb!&4+?ZY5BlIyT!EIMJKj`HwTM{XitBCQeJzE*ykC2g2l}u
zsgHsSpxr0BT<a*%^6>ev{^S;rT7BUm9I^hS@jKm(<2$RF<+$mw&$(9N^i3I<u#-l~
zA4*+troPW+{06QbtNc8s!huQ8u9+pAns}8Hr?1{x0`j}_I?gVb&t%WM`M&&Lk_e7N
z>;`+ccGRd-+foVdX#%M1l83|Y8;YF^xph`fv;}Cz%j(2rvcrIgS=D>T_*$<5T;@eh
zWsMzERGw39v5+`mH(07X1%W4^SAVXMmvnY1#eX*Iv}BljpSxDQcd7&xgB$17ZH1&j
zV}o$KmbitGv4lj8p9imU{l^bBa6#k>C-NH65twp>U{ZQOOpI9M<4|#rqf7VdTQ-qP
z_gtP4dz$e0T=^7EOupL}-F&UFb1ZXcr8o^1gO*2UAHO%Yj$4ae%eZOd%Y@tlc->LW
zJdU@TXk6BKH@)V_Zz8xmBmWVb@IHby`~-;q-F0zzXb8{jS=lT=p;!nU9q)SP;oK@a
zRlW@p%_9JHhzXXYQd!d?UOkkLdEG5ZGz<xL+^TD)Y1N+&?Z>qTRtW+IRGet9cwzq`
z)&$K+g^s>^r>Lw9e=c;j()PA4FHa7}6|H`rW07JyBp`B&*}XhRq9+7iXoM6`o>WA^
zGUUb^-^-J(Uw>lt5S5&1(*9pMJl;w1S;jv1rrEBTIEgF*h7ZL7M%kt-3H@T(axOl!
z{T4T8*mmFy$M6Qrmg?yl+H(qh&(f=p6oPL5Sbyd6l`ASNyH!b!M0+D13t9R|u*NZ7
zRh9muHh_X#gAt+5US7b1eti83ZGU%PAFfECWp2=oczDc?j^Qc8o&M#E(~^deN(1IL
z+@L>x{D5x+k66hN&h)Qb*cuSnbP9X^>4qS%eLHqpNoGKj2G9!czlX>C#ztV`G_DJI
zk8xha^W^3loUMgSuyD}A+#KTrFC*TzBCChFDwiMiI+bCi_`%xgg&zr1Bnlo%&1la*
z#)bZmVT-x@6ZUs)!Tbxf0$@RiP&LJQ*{qnzY_%(X5Iy`;TTGl-Ja0&O-(|Sx|Fi(E
zjGg}!L`7p*;~dDOSp*xn{%Z)qG>TOH$%!xQp5J%>xtRNLm8{e(5Q?CN#SWg;dODiO
z9@$1q-+O$Q>nOS64rbU)nV;8W%Vwr;g=yRT<jKL*ELZ)QkNi7#%5u|7W}GM+hQ?A)
zp6Cz78uy<msjA2xF5$Ch3(dsOyznhej?Yp*M(tkxq5Dl=f4>LvZ8uFadQO^{v^;Us
z(rS4Vr8}_)3o<eW4;><uX88XjCQaS$?fA=|LL+yP6=|pq&59rY{nvVvrFUef@Wzml
zcsh^<?;30Ibk?X2X?h)%7XQf066{L~5<Q7|F;PFScg8CiK171aTFvc=-RRRv>ZX<^
zeD-C)%B3xtp~9O8ya6r<5I@q~I0z7L7}NfFuY>B(1Io&}dyXg<KV|fPBIyhL<-)
zT8z=F#v05L_#rqp@q0oxN??5hYLdrDU1sb0?=Ix>f^eY8PA84;_#9N%sS^`+43Liu
z1tOZKy=#_c1%+KAifml1Z$wr5-9f}jpvDs7_24zS6T#l_=WI)XTP}gEFGJ{TNn0~)
zMhMm}c2~Y{BnrwBshOCmC9Q&A5Vb-v%wCM}b7^c0;>Ed6Xp0t*<PMa(Z*}JL_%op$
z9-Cj-&y(MIMs~R&{6%6SvT)uyRrV%ba&Dw{rMTJKoKf^{fqzqRsJ<g=dZDd^AbsJj
zgf4@GO`W2kpu==W0+f#@FP3bWA+zVqrQwrEZy^99C7vlze$lL^W@iWW?60Oi{}`(a
zoFz3cUTmavR(SKtvJn7^Hb`EJYfo`h^=wzTEk_?>97a|}O-Fa-YyP#4f3#q(kLHp7
zG0~O!mhdt4(UCae?``UQjMt_iW0c#=;t-L{%vi~BuGbp(5WrlZiVuffFUp^GWiJq(
zoAc=o+B~a)_p3NSn{PHb_^jp1rjj&tKvDLY$jmDo>>8O(jF10;i2^k+%J+l$oG*lT
zMQ#NB_)wjsn+bW?+2gc@gQ$%|Uk@~__(Z=#C*O_3uxyx?%@0o$fC0$7g%5r}x&fpN
zF$8eMg<gy_G{7*xY(hweU`z=46cwK%)}pKo*t<0BsPOLKYAJH$-)pOwxKB!I6`Arc
ze4(=q#Vh{N9n})_t;D)6$WlZ^5Pr41vf|A<0(uqxSR4s24`aJUhbI1a1a{x*b&6~E
z{`1us3p>o$_=jk<F)_GKR8twmYP0Ux0ZI=kt+ABA?1*x@P$>rVDWD!_Zn+sjI7kai
zI8tN+{&V+(m$RBnQs~K4lG?zcL+j%_p>nU3=btS$ZShz99;$ogu_{lg9M;yp3Y8m-
zV(Tvo#1=G;2i71_;SP8l3|rNW(G0eN`&eXY#7`Tp3!>=n4A6A<Wrb-KOrx`NbKN3~
z>q}oT6@#?ED9z0L7?@GRwNxG;&qQxpg$0UG0BOkTlow)XG(UApj=s`!vc*So7b0f_
z3Q1vYeY-(-2uMh}d4I0j-?5c{yTUe^pl8+>3@SYMqRjFpqU|92zw1+Q0pZS~$;ror
zv~&*sM67<2J$FL|b$dcu+a6b>1q{&di$AdTO=frKVWmUrYo8ArHBe;^klu(9H90Zu
zOTj%uC=qD-+6s0kDG4iN6J*VpARyUnw!?M{rKgBsa=$X`Ph|7q=oW37p8p20l~&&2
z?Ad@`Yk&Xe-Hrvn5kdw&vaGDfPTJ_*@sp-cwP1zclFTKXwY<qF@+xYHGscX$mCepn
zw8`aNJEfgqADdvLxK`WUJHIk2Qa{jkM3I6^VQpxap~s|&zx*^!<l{k7rhE#)4kzuz
zY1r3*z~QJz0~?+iz|06KE0O+<Vp2!$;)f4=FPgCbf0<F47v4pPm7`o2=e9&ccFs>k
z?*H!jnZi1Sks$Kke(Q@GOZSbnSu*MsiWv*%X#FRqcKXVMKVQ9i>0G|8f4LI5<8ouv
zMGk_IiHSG9k}3phaNuHmB!;Fz@V^XlS`AU9#Fl5s*^Y0T0{#QEPn@HFhUZDP<dk_W
zv%07mpFaH;VMNrajS#XmQ}J6P-gnQ9i~CzQ3?FZ^1zFO@l2>y~&4-3<`jVb=5+%HO
z`<9ru5Yz!_nn~HPAHALPF!_lb33YK&g8kzB8-GN~<B8s?U)WYtT$338yKB3KlOwdF
z-`lSGgKfYJhwI*=oaglvYdTunPO^F|n|jY(TFiFUXXS-*CQU!b;f_X&vmNyInaHny
z67bu}zICD0tB;&J49_)!@oD~wvviS#c|_hoLcVh!?}na2K2P(<a^3(71wd3m8=
zTKzGK_8G)(LGt3k+$OE(<|Yw_sbE7Gb2Bb^QPD0Kb-B3UAw&{!Z<gFO<(P%WE<0)P
zME_)N_oD3hE?@PV>sX;~=%#oanDVYc)=1-}@8;@J?7X~nNTNam{QVmW-1NY45x))l
zYKzv{o97I3RY%{yho&VbGgCC92U0|o($^qBX72LqdVjS1Eg~o>HIL)Q13-5|LQvRx
zYOVA@lX?y)#r+2lJ~uWB{1~D5(FSY%{!N5P`|YE2w!G<Y`M*v1GL*JSnASn~@{=~s
zL@y>OR*q)lPj2obGjYSG(?56lpXJfrdB>!bC^Lr33q6=~^h8^4xkJ7Kd%}^_)Ks}0
ze^Cm9tL^Onif)k~S$wYqa@XAxEyRs^Cxw1A#&&#IaPGSq!Q+vfhd`8zuC53=#D2}S
ze@0qa`To!xGU85eT!110H!49fk&cE2DWGXXd&Kx`DcQNXMR^@Ja=$gX1jqN5+}+$$
zO=j~#gjaH#yo1e7wPTgQW+kxnAamh4xdQ2{i`QoZgwcQAf8V!TRNav~`Z?g)qaucj
z(hm<eMofs5ry|>Cy1e#C;bf7wV*|k2Vk1!m==aVeg@)Z1$*y1?^>&9k;C$!pga&$d
zy)u9dv#{7TcY*Ok5OL7n(xFck!COQa7#R_fpf2cl9BzTz2+4cYr{l;#8T-}d$n)CH
zA3A;w)ss5f+8FY2LyIXtO6AVlxj%cRysinKLNE$D5cJ{Hmz|ZHODuOYjgjAtXiAK&
zN)&NKvVoe#ok-9jy5`%%j$*1CIZM5(%?)cGax88{+soN(Za&rDtoIzbWtvx#*_^;h
zz<hd7J$Ccj;*hiFMD6oADGN{j?Muvr0<s&tG&I&TGczDA_R!n{Kx}Pot)&HHJWTg0
z{tKU=<;g{yAcXzOyY}|mw_dck%wf~OvA2KvWjh?vQ11%v4WjX`+3eu)Af|Poqs<n5
za|1LPs@IlBG-V_|+VfHnYCmqb&`A;NLuQBGe0$O(N#;4P;-Ywl>Wkyzr@!}pYU7Ya
z!m97e+rhyKNbibxdFDH5NzQ#KY^GDln`**q!E~p}<8{t~Rnn4-0Ryik=c<_ba_P~6
zZt1PbOEuP5;eg)bB?wyI{~w?K^gP=+o8pdjh=!4(8XHtK>K2s#h=+tyKuj$5H7EWL
z%gf6x4$jf`V2uq*Ohwu8b|FQ>cRTGio1c1~%-Lvd!8z!+X~gk5fQ*ET7OGY-@DOug
z1uwU#&?*}?vFQ2tKe6X%B|zxCQd0dml_ou<>9O`>T?IlB6chyg$B9#D;wAd3h(^wG
zEi<z>Ng;psghYWo#9Ul5l$Dp)UnVXVfYa#p*cdMxTWVU`pNV6UXi0`KfmhiVWsHB<
z*AZ%nqpQ?R84a&^A-k6}F$od4qjz|;UfO<cMB{~#wOZ&CR^+QJm_@mqlXkEOZeMGb
zhE~!?`0P1J0hW*o&9xYx8f&B;&F#88wut8HwDff2T!8LKNtkB}U27%cU_*J^X;y9q
zM~^-l`QCYIg}IxZpI>9g!*f+u5H|vkZEXDa=En#S6R?Mhi6;yU00MmR4f)}Z+6-1^
z)04VTT|YjF1l__Py$Cm3r=AtmMp<~L7mx~7+b9_om$G5qO@{QO1$z_FHs!y(FA#(u
zv<e*LZk6_xBZsl`fm@E>zSQokb)VR2rR}4Q{GZd%NUMA17?B+LGwe^neet`eqQ7?{
zV=vb+mJ_bkAI`r&n5B1jr1M=4z&RHYz(FCxkoaaH5a74dDQ))~+qo;HgDy}Ei2f=P
zNbTCc-M3>tlscR=zWR{rStjWXV~0W`mRXubO4i*DCdoN=#s}RPMMcEl=F={MDz@p;
z;oi0DqMMu0=vw>^IXn=ec8D>9ooxEBUI^bM<($;|iIm@H;<}6kNSpGB8XxDNpiTVj
zof=z^PyuK{oDR_DhH{gfB=wE2i7LOC6ORN0tRu5O;QPaB<Xvfg_1l8*rhcJ?j)-D)
zOGrxo0*~G>n|nq0!1e#`bPc^AG>jA6EoH*FDy}y3m$&wb2YHbj{@XmT;xfm5((f^&
z6VCy*Dyw(KGz2tkpTnw&2y&)j6{g`lD|U{U5%<nI3&Ox{sPX-sOMW8{5aqggSQT+|
zBfs?6%?;I-t%^zcdlc)Z4T<mi7Ud5W8K~25qNp<0w#^G=ZAfSgfbhi9a`aP7KwCue
zkkyI!97hg<gkDpH{EzolJ;>@q&5GJkramEY+Wesv2(Oa}4cYJ-%S?(;S}-cer<?zw
zwR{}FOzp217j8-2Y%{U0W*57`CK0^m>ZW`ZC3_FeKODR_5lm0v(~-xd{+^C7kz2*s
ze#X7;n&~Q&%7?p+AKlCE-^X--`vR|X+DR;6cvq5ji?EYmfj4!F`wdAM9{t~tY`_Nw
z)gkr~C=#Y=qzQP{(>5US0V?Zzf$S}+d9X<;8G*K6TJjc5z{Ux;xnc8N-6H&oze6~C
z;R2p=&fG%?<^WcR6BT*`#M5CC!}Nt(6M%raMGy?}c7h!OzN@UH6oA1Wr_7t)xD<B)
z+5kn6`3DWFZW|yU`HSz<a&y%&gb=XO%gA`)k^{W~lPGT|YDpksgfKwLwxO<}A@^!7
zYi!$`FNAI{9iKoqhERk55-M<h#7(eQU^RL00LD6~5V2H<-~YY3YWv)Cce<4!H6lJT
zp5mW3WdAzdqI6(<4-vFCP5pBfRSMwFLl;@Lm~>*+LRc_xpx1lr?`rMvU7OD@ANzzz
z(oA~S*!WLI;S-5&e$DRK7CGa2m*m>FUDyF(%{?~?(I;HeH!{4jA0s#!B}5`BzDJK<
z`ydf76It8+L{0uS@)6L+(guPSl!~dggK%o;^XKp8d@=mz`K)Q%N5Y=Dl>krn?TyB|
zx-r)(w4_29mHlCN1CP-=lyF^r_yb@47?1wQKJYTWzG;mW$RO=fPHD5>G?(ZxSvWjM
zS|N+ITYH?j{4jm*)%5Rd;!SHEMSpC8_OXb0gp2+W`BZ=Bs;t!el6Hrz0a9p97LP=z
z-m8Jd;cg>K!&<Djm;CL7z$)lkkYYj^3-ZOK4(BKO?jacDDu?eQm5o4t>ED}>qWXF@
zAaSq<l77N+fYO92D{xL4+IXfQIkKoD)%!srJf#xpPlnxI497V!p+g~lR^zta+{9|Z
z6As`40EJ+iI{ny=L|+3l^xN`~<uZtEyy5>eRA2uLkJ}1Zc5oWsw50U1jDM1;fo{7@
zfRpeUenrTDA$AiWo^G1sr796@+uQ^Ibi40|N-HYfe3A5XORxCk@5RA+uLaA^S(Z&d
z1~czpMEMTJLPHip&l6$?J?b|wG4^`)d4~Fz4vvix(*R&n44S8v{|`f01dC34s9C6d
zT}Cs8A-el|>Q+f`xjAVV+F}x?N<$4EPp;7ZP^L`Rt%7C#G*ZYOR*$~`0Vw)0Xktcj
zb4+Z7F6=E^=nKBpGmJOSA!6wx<iZ-L8iXXk##JIOj$caKo1EawFx8P^Uy<j>P80dJ
zoDfC?pjJ2cVb(<RB2Cz(&}%-{_FlnU<D)du&3i^Z6>1z3ZpIKk=JfA8r;8jt<R-tM
z-KeWmjmrtxx?sJ<D;Z1*C)BVA3pe)~2p!rJu^;`uuh`PcEjj52N!T*Hb_zQ;3Y49&
z+7S0_sGPBLa!z0L0_jX(vCsA_eRbeP`;Ko~!_R=$;TuMs;g{Lj-v{4FW<U(`1H8*A
z9PrWyTc<Z^q~nh_#CY@U*Z~!@19!B?@S!`=oNppfaWwujCdl$Y80_=-zFsC_&;!~W
z!Xgu(tx2Om-2b6@Mnhevmxw_&M!8T-1PCX9&`0d(;q)F5op0U{$0^*FU<#?JsWCiC
z^xPi?x)`vz<`vnToRgy;tt8Py+>*fD&R$BTjdFkz49U7g#Hj8hL{yOaK<5Ld00Ghd
z8vF&#h&YBuF)Jm-`$kza%A@cv9ACpi4!arRdUg;Ma{EO^Gb6T0jS!VG65$rr@KbeJ
zY2LQTgofgV);d?C;eAmq*kc46j@}#ohCmXd`;(0nT%T)JfzVXqCmrC)+tP5W<6pH6
zrwWPCXL6X{S{VGaFxiU48*hDm2F15W$tc~BOJlpel!0r_{mCOxGhUmqgVTX6ZcG)n
z0Axo-6i`oi{azCkP7{q2u2tByO@c1DV<P3@<1;Tc!)Yg*<%SCKmX~udF+<u>W1S0+
ziHzJG9I?Ww#~+&4j_zr1Yg^d92Fe7iWRj1WILDcTf_nmz)Cqz0xmUZevP^m!y*n~;
zLhuG?mM2~vnT{_XI$WWp$YgHu%GDz2kbdP)kqP}}GNCo|@SYA)1p??IFtQRoudjZe
zo<6+13hg2>^sMK}pR9?S_ats*&|tnd9Due-Toq|gkX|5+8wV4P6ZutyAw1DPW||<<
zgvKZxbbnn9Nd&rEOzI{}Wy~U2Oan9FZU=El5|OC-Z+YK?V1BZ*!>Ypja{tjYg%Aix
z2rJaeM_kpTd-oQWmxI?PuU-D}uK5Ko9os^xPS^1$>z91WzQED=3bG0t8bUD8V<5#j
z5fn^Y{NS<xt_)0Q|D^%<yUEXgsGi5{<}TS}R$__@!82BzpifZ39t?4d!be}WPOnih
zi@$8_uQc_TzjRLJ?^|qdT^O_*D%Lma`ZsWxseXIoyEw&L+iTw#6gNm+|1sq~((x7o
z11eebIc4s^G{^te6b<t1`wZE2+S-MrpZZi!=8=ct(5$iE{v|o~SCX<*m3o&!T|HT2
z2m=ADq-y~)^q*$pnBxFSY@K7{oq2SEWe56<9x?F9;}yD{k^iF~?xs3F6+gA`&__Bk
zoK&uhO@Dv!^d&`UMZ=n{aMm%t{+CU_Ogb6{o>MApuJaVc%sj55KcyaL%=5@5V!gs5
zEhbM=eR%)*O@m^DG<bFHx~vKq1LTH*fdL{XadA$TgC2o>w)<h<$i-^+e?<yDNwL0{
z$X|%UwE(g*xYeSHPs;tsxqViFaCJNi;42TIDK&c$vK5$rU{j?ds`m$EibhNi5oX(9
zN!s%ScsDW21&4mr9KE#wX}s1^@sRhmm&<#dhFlKtcGB!uK$Iq=>^)B)fAYSNu1V3N
zRap$JF!IcYbTFn&se~i#<VrvQ5^)mC8{jkid<T7lh$}*^9z1F>9IX~3w7OA98^L}8
ztIF)m4Du|**=b?5xp55sLWttQ?v<B&Af=k4@q^nlxT0Nwzo`a)ot&(I&I*5(>7&j`
z&$NsTeq~=#3>yjxD291`3$k4I>XA2Zm>F&Y-1T~G2X8rUAF%G&npjv^@Lm8Wg}nwM
zY79806WKU+(!wD|hCY((?%YT<IaX%}>K9a4OiET26WNGbM=zPMyG{5oo%Liwlj^#n
z^u6$z1%c3FrJNs&dNuTsJfm1ZjF%8}(Ek_Ly}$chZFRP67pHm`erscBCY~RaYFUdU
zN&jiPVIE#udfDBbB`Ab2dNhV$OUHy7#5Uk_2%PQd(?o(qKuAsPOqU*5)^DOp$ljVd
zBWY#SGmJ-4-G~H;Z@TW@*m#*Qp<QLk_?gzZqmzcHTPW=|m3@Q71`0lfzZ~7Yu)1eq
zN*eIt)r7|a$B)s$hNyg;_KXWlV}z%bNQA2_MdpIzD<`?1%}$krLOssIUF|oVosaV!
zl@j*dsd@%NwazCGJk3a`=`8WCd?iZ{g12KKB^X<ZGI*Zp&=!0~s~Tt&#c^*YUNUt2
zqC-it#_Q4RoH4)&rx=8^+RQ8v9Ee~YPeft{n>qe<<adhJ64dmOa$}UH_t{$3=;`Y#
zJ_toD>Ox?hNtGw#aX&nkdGCb>_iE#{oRb|mcz?lJCX}Ap?KpMG>c9lN9eA>HWRhRI
zRw35vf~%`?$fiGZqF5e4W5NV-UKV0`Rlgta@L{2m8hCe>9$-K%!&$mSBw}m<(&92_
z<{GhE-}5{`iLaj0Tg+M_v1)e{9i^N*z`+ST|M*P3#kRMpBy?4)Vy|lY$u?MA+n3w1
z*wNvf8}Q|S_VYf=|J=^i0^;J|(9penrsS%*`(u^C*L2aEnN5@NGYcCdgvZED1Wt!T
zA?Qi}cE7`2ZB4PG!Ly~mY;pZTJ<HI@F?WV`NZQ_9Q&Okdt*(&@zU<im|E1`mo07*n
zG)5d|0<mM*aya<?QHbNFWTjCQQ5fC)H9cJkRR_KqrwN+Y6sjA{ln+I$0tY<^VKY99
zfBFp{26P9xNpt{Ihl2oF_$U`D=6lgS7EXkJ<x<Zh!0zO!Q>K<K78cx=ZEr5+yiM2l
zw0`49z{u3N{Pwg`;s>-+#^vR`z27@A@eeX-3ka_eTZtulyX<s$ig2tt9t4;pPL~ZM
z^cG(%Rg9t23%djAJCLUXmr}uxCW_rnq8c1Kb{tP|TAiPmpPK{Qhqd-<Q7@i&XgvgP
zNPt*_lu@;)tyX|`o+{x8`fL}lSyo8k?;l4cObR6gP2lSeDk#(zB~bq-jfD^iC>w4K
z{C$Ax;If1<0<W+=H*RITG>Ow7R{(84sjTcy{f$2EI@>8oB8YOD{#;b4fG{Bd>)QM~
z@ej%f3=>6U$Roj&fXC}U;-YLgaBaaJ4;A!QaqT8&&ghqNmYN}Q7~*KKY*?p`@9?{k
zDG2=-^6yRjU_^c8T7_IC(wKyV97wNrsJ+4>&BUil9cG^ij1p?C#W+XV(Y2J{^ISM}
z>i*cn@gGDcjdm1$ZOJ9aGHMnLW^xLOhc@-ZnyKqwA|}pyJf`cZPtVBs@N?yyPcq+p
zgUivqx;sA=Hs8Dy!+-maYT9#2s<;%-IW|lj=zz?6>?5wB?kL$AI)5Y#wQdloL68OE
z8DvyqPo*$}DSE=OZd5pkaPd4jDipcG97Q6^P7A)1i;HX5mVVPquQ6aj;B>*HEc}gQ
zHYiE`q7O}19S???*!%XDH|;ZVKxg!{`zV3P`14!l9GSFwxy}p8f(%gt${yM4SWb3C
z(#EpWMlEcAE;*~Ndv`r&-c-egq(jQV^6i}O>nQwNZ=S@73SMiqul^7<xQBlp@r>WP
zqGSpHIU7}?Q~fbUrJLuvFBz2#Q9vx&wUC&z>4l!!bsJkp8T|)5ANwKjcB-^297JIk
zqL(9hE6=}z!DH<faum(QuNM5y_dZO@V&^;)8Y5F|^n*iuN_Dq5RH=$&kLp+6kJwy6
z#I>nl`pBjHVlu`IN4$*RN6JfXE?tGt3@B<l`6T~pXln=w^-8-+V`~dJVsz0AJ@AJU
znmj<!^tOq7YA^6R1#3khqAeFLK;yyIkpU$D04x|TL9HS`5Zl-F#Pc_-9*#e@Ka5Ij
zU~|NFBH-b-Zf&eK{@eP%orPP_28jaDTFou`&zNHk3JQ{Px1r2p_n2=w<54gX)|1!4
zKdv<V-KGV<z2xcVc{4$+A&Uz}Q=_(oCX^7#<=ZCzk4|07pG-L+NwToQ_?T_xwE8$z
zDu+)2i}Z@ajAO;G!@TEJ&-LBR$|6dfq!3WdI$9ymd-3XE1ZIC=<KzC*2`y&^KV<X^
zDOub+T+2vcm)&gKCt?A0slw-o>Bs8}=O^-9t_?Fn(IhrLilYQQRii)~y?DRXdOqjd
zqHH6d%;H%b|7etOv1FM%3@<A}0@N3p$odf&@FrqTY)N~l-^Po#8W_z7kH)PUobTXA
zz|d>~A-?sZu(6tFB{t=!Ew4@zAEeB9vAr{IJGB3w7NBNRp>e(UY?7Kef-do!*s-Gq
z;{d+MBN*A1zYP-rb^!!AuHpM^)^Gc{K<R<RX|!8=o(inr#%S+arM!E$W|uSaJuiNI
zu^cDW@D=Wz_wRnQH?cU|RaqfyrM|wNfs#xo(w*U$sHq&{ZlI?d_wlZ~2edR!&rLD0
z3`*|(`_Ea*3kx3+Pha`-hnnN87Q$PgT7)ACpa-TNfDM%rr!6dw?O?7P)l)t}kiUHq
zG8||paaduHfI<b;Y!b1ESJTmH2Q&%HN|ZzA%XOTcoI96*DVE#REAQJEM>*hf;MaJ4
zZE2~Pipmx25kW_p(Oapk90<=oL>w@8qQ@zJr`z>EzpANNLqPk%)&tQ82Fxeoc(;4H
zx)k^P9e)2l@KY1XeNiSlx(n{^U(%zrR=(E`I_u3Ere}-|rtdTiGbWQZ-rkF_7P2A}
zVq)%SrL*lTMt{?@x5CMdckP&dCq>}rBxwrP*pA+sVqv>lr9l#g2iKrJwEAkaQT9(?
zWsHnyKS1X9@1>>UUs1-WkpJ)j5>xO4#Wp^)iaC8qz<Gg?UPD8O5g_`%c~jUr|JgHh
z$WVsAVWRR;X}b)ng|TD^weX@6Egf^)*HAqoo(|_Ea@}sQ97ul;?M^hiv8s!3fnBWn
z?_WXej5h`gpvyWPcX^i(TpSB>vgO~Wb}`C)(MuefKe-VtlsSEd`M62a(6W6?>TVvw
zhTdu}aM{kH45+AB#GMc~+g7H@tVFa>F;33TcAk2D0(lKS(7?ev-VZjuWT^YX4}@>7
z?@2lT3@9;YNsDL3sW4;JQuDHs!(p+Qb|k5_DKe>9oC)b4#?bi&C;!2NRoJW@WowlF
zks^kfa^V_(>y@#>)56U!$~;F?6;bkZY2*ym9Spg{_fH~~#B3K-e%O9N<IG5ar8}1a
zDLSwwKl+wHn}j1UFT9432NA@0EAV)U2%$5F-WuBj&Ouhn?i&jx`K44qD-^~&Td^B$
zjbEA1SsV_$b%!+xVCeXy=VstuzWOh>Q`YM&pS#jL3MM(7c&C737g@|gCz(e3%YX$l
z`(b{s2MiZD_3A!6-4U~J)HyU1ku#5X#Qt}**iWItDezlq$;(@{{M*!q)=Z^$Jj<SQ
z8oH4axZ;@NKF!8H3keD&Bz#QnnYla>tWd8D-e?T}4MoSbwI3!u@m$x|KWF{g<8&E`
zzHW?Ti^?lzWKG%JYcKl$l_aNLSEw$0_WP-n?R!!J5(Q;{(j<noGAO{iK)(KIS%tYk
zM=$xWvah?3vt5XU{4U~f4FY%jPl-m2QiUFs^DEaIf$`@?0VU7iWhcCzmezo=ErpU-
z<2=Q{>$r(6hR}5m_K1ww>zt|!C|L4p=h!qhA^tI7i^GR1B_Lo2X!8#xA1mt<P?{J#
zF!|0uA&s6^jM9R!v+w35w)+jl29Yd1AT1?Bb8GW}(+x@r%l4!_x0JYv3-|RbT>$}C
z1Pt7OaBKa37Pz%I{*SE{fQIo$mZqPAdvH501{kE_(bN+r^3WKpfJow33DpAx5dms%
z{oC5wP_79jG=9&Z#oIeOQDLrtdeE<fh1eLdl^<{=;0?n}0~@O~dhAb~I(7OqGzy3{
z?exNgfdL9jBJlDRXmG^BiTX&)Gg$O?9*DMwCIn;?79*@2AXE%W{zAQmuL}$Y01H53
zu`6)XVy?zu0p6H6HdT(II>!ItJIt+Px;2e^;YGmc!<xXw$@#^*rfa9#|0G?(%9mS^
zcx8~S*!*v#v-9Y?Qx^UdjXazI%H3YOHK-0fG&kL)W*GKAi^y}u8`;^sfOA9th2+X*
zZZykgecim$Y?;%2^*i5r@-Tk=*XO@?X8A8fnjUESGx+xHk$&YRxi@pZ05|aAn$B*O
zMkB(;$=R7M_;Vj87$*D#P%b*kb~`?S;)L$E79bSiw155M8J*Q9ZO-SF1y@uBrtkGw
za_@}IXiH>Mp&K2YJJd)Tb(1mZj7!f^72mLDazA}tPS8Egc`ZA{xc>x~?up$JG|5*L
zW6yTh?w>Dnv%G!r=Ud5-f4984W{%i+vWn){_w#RezaFli5582iI`%vJw<;!xQz5Ag
z-}sA5N|+!mHUy`3y<p%SB505Yuh{Qp!j7ni>#sP8*_6@&X@>;DCaDahI#6SDoLkqv
zoI52$@CG%%&{K)Vee@xdsXZr5%zqGC?_`XUbj<!X)=C~n$2j_xkA)$m9L;2PtZfbz
z_|JK<Gd4+!O!`MrhW$Cq^WLIA?`l}2qjFyJx}QSW<rAYuyCVgtk$j@2mhig~0cdCm
zPED<R{yc^az&qlEbJOs3|8Du!?lR08-PY-s)(-=fxO$LKDDrI&yMgoKDhXm~o2P=&
z*%Z%&PF*}6aF2j5qYQXu!926Zb1H?5G;F8Zu_z32%=DCyflkar7U0YA&|0#*tc)xS
z&bG_r0Y?RIAeCH@|A>@0p=tIvfaz2w01QY>1~3LmC&&d@Gw)2yYnYKu)Gwb=yQfGK
zdLH&)Mv%PgNbDiv$6F$NNu4qR)Rd8HVcQDqwDuI=zqHW3lWHqgUF-ia+4GOASf{H$
z>=YmA^7=t#u)D|7_wvOZxzGEBH`&hlCE@`%CAMXDr|bS(xTXPZ)qJ%`%g<@g4~zrO
zVIl;Nm8N~O0tTc>ojjQdGQHK1s}uV<h0To7%TRCAcqGCJBC~$A)v>Z&3!gN?#pfb2
z8W!n!e?|+*NKk0j1zH`FAXjXBMRMo>V^STphi|xrL<6v>iB&yVmd(V6>xOnvmp6qN
zvu{4yLHP7c_<69%*yUYg%W_|DS^F<_ixA7hS3j=rY*IR&xg%)v^$96FS7LV;diq-v
zudj}K-=+KY*LHzo(o^LR&*V_;9U;0+d&O}osVc1lj39IH{@YC75&auYD-Tibo;`(F
zL_rUVh)|tdl$?z>SLx)iy{;{Y$dj2;DZgu7EK_n77H%OS>HtkR<75(wlQ-bAprwq&
zQ#2F!bzm|5l#S-C+1KAvrIoZ!^#OIsRrC_vnIL?C=s_r)G#6lonrUZ3bm9~0h?paV
zP;`WcBl!|LnoW5%DxA;Xp6*OS;dC$LU+9I${m<;A2Q??Qa$rS};G@V1dPXo#7{ZZe
z;J~oseQf)*7kk*tmoMMf1^8gSf<B3M>CUc=wKWKs-aq#`tH_JQTcP7<$;G+9S3x1e
zDGi<2AlfuFo8hdv$peEVG~)0@{6Iv9lamvCrhYXG>p}RofXxCW3_lcB+>A>=TwMI|
z%fGDzS`C;dJEy&F97}^b1T|l=+5^pW`nqo^kEg&NAtxtiA(yy!Q*R~ixNCz)?#3RH
z;z#D+31^83>yHj0$sL)XD2RCLUOklG;>sf;@#GXN=7OTvwcHDR1Q++FklHdUw%r$_
zt6|qBrPdLoaqzv+3RRw?qsxI?=q7=I5IQn^DEp=EJ2^m)0@rElB%+vqdb=J(>??kT
zfjw+DEklu~jiT=qA@JPhW=ahOpH~0kEOt4lwG%TY_elr4XJdqTcdiqPM_+8k3B()|
zitsQrFgVgFk@m3oAb}*Te^##ir>A24MBM7$Ci6dpvmqs(CxSu}7$48b6T5(0MXZcq
zc}6By<AmV}G5oy-`ug^5)P!a`BjMED-5HM${}><*!vu<stshpZe4S_Tx?4y%$!5Ws
zc}e*U+7%miUASv>&bWMphd#Qy`*^|;GOnFrB!y)3k;9jC1*T?OSnVVv*^q7<(QdU6
zSdUU|GIa@|W<jqPdSpfZlbeFoR<7{^hq|ajxeEp%&9eif)9!%d4aw$s8<19^irnb8
z^;7OcuU{iANckdQg}nY*U**I31J{Er@C0M+f_z|d^>6t{dc)vJwIkPi!cRZb3{ei6
zqFQKUGaLimL!;E}a^R)ovxV@9c_zw8f15H?>@pF4ja7M%zG1ku@N**a0uA5uMYR<=
zg2_2)*XU6SQJcAtytkRU1LvInR|@>^F=CFCfjgCGY|ZU1T%4SpxRTpBy#?s&$3$ae
zeLZe_Rrmndp`*DDcw+eL)q}5Plylti2x9B7UE90)WuJgj=(S;W#!y$1Qs$8LfVDqt
z(y~-S6xr#1a*A|>Pu3Ctf_Wae``42>afWqHf5fo)U4~bXdg|7NM*)c1X<Xr1`yR>V
zX~$0SZ{7Lpt*gEiV^28<0w*c^$EXsRw6M6nduL&6JoxvQ28plt_4SNcKq;V(*vL0G
zY+OWZJ{3hCY?^6u4xvO$uA-p>KVL-8jEzrkGqy~h0C$IjYg^lBdckipLcmeh5(OKk
zrm4+#YlIW_Zw*>+2-Q4&+BOTD&pVyi!zS!HB}~kjVTiAGuf8qjclF1uLjp}o`L%bB
zr9elHKZjYrI`lk}5z#6Uhd>aZ8w$IGSa<B)>EQPfCL^o~o{Ep#t_N@ukg1)~bcmWf
z;(u_=)N)|?i*NVAQz3QX<HrP!HuJJe7vDz<#DI}=qwrDA0as~`aR8##BZZo$(4u_8
zM;>wOaOaJTz^H?pW@ULfKT<8l4^8tR;s2{W#8Osp4=Wl%2f*sn_jo-8&HW$B#2H87
zd<oep1qD+eBcPH18p2%!bxQfjhrz*oBT<)~^tXrAg?7H0UIeZqAacFn&btH2H*Qp5
zKdu^5qki)cjJqnI6ne)#4rT^DJSJ37R#&dKLf7|Ur0{kOF7Fe&JQUF0J@fP+vL2?;
z=hi;~O;cN&HeREg)3*IduQ>Wpwxr1ng+h?}Kkd+`S7`6=czchRG|j|QGJKe#)LZd<
z*iCzjg$P+1S30{1;e~6v*-0uaf{e@Lb&MfAIJO%p<Jj6B^@bqe;?INorKL65V=+T>
z2v|TL<H^C;$Qn%#kMjOmw4U<FyFLG0xY-+~e+;LoMR1}3HDWqu0d*1%r9kYKrdxzX
zhns$i18Nay&poFP(l>qG*nP{rx%w=1xS{X?@xip$uB<UM<Q7^~+`m%SS@(15&tDgA
zO5V0K2oqzcjn|Orx=VKs7eSqk)Oe%-$q{3AtAJ5A`Gh0W%Yk!_!q#g)g{etruXavP
z+F_D{jP}_CZVKeEysi+`WX5+0@i@B<enaR1fmO;%f|GZ_m7IHjcnm+u2Xy#&5Qx)?
z!+zMahEA|tr-1TlP>kNr>>_55jjiqQ(Kc0<mMQWKer>@)pb7{&($dhtrVV*k20AOy
zuU#_#IkMRfb8rhE3RblRo8Q|@+(yvS0sb$me<AVhnQaLjdq%qF<Y_{lOPEG(;?`#o
z4b5B$cG~=?FMB6MrnOGqwOl_bNwp+*=K|>yNxhAW`=aDp7p@IGzC1)bA6U!9tB%U-
zr)|>z_54)e>ceKrWgE1JQcu*9LvgWpZxQ(I$`w4MSj+oo_-BBM2Y^5`V5(US;`ueo
zbem4Vpyl#5HDMu?sp(|;o&K=nJaz9#^Tu-5#*N5x)hP)$vOKo7KZ+pJ5MuNMzGD}{
zz7!BEvk>YlE$#VfV)9q;<62fnR_=qXL!F;~P%kJh426ayWtr}6eyG3jnFrlk0mkIq
zAM2m4IN|D?^z=X4{?fR&LHu6dwO?XOM5QcBbZ*~fi`B-Ff?$H#-|LbYbge=W0%$aU
zzkJ|Tcz`OO-i%Mp7%|IQ`j|7by4wSvWE!0Mc$hk;WwzeIWu4U7)7y&*lvnJOY9d`W
zxThsE;$rD5@l@P~Nfcx{>r;ofgutZyaL$lBcvra#F*u<50hI2TNs$R!E`cWu&EY<m
z-qM_RMvpdTo_v2L6&2{oU-k7Nw+{8BWtEjaPEM2>i8#uZ|Lg|<fzKUcc3g1FfBwKf
z4X_XMLN)etS63L%5#=gjnAkau(Fiaz96Jbok76*AB{@wL5W_@gW@#CK>cz$h{-jPk
z7W+8k0AK5iFz;pUUitX};)_$KkP3i$7##IjQt%2BV~b!Cd-sl8e$q>kxBA0JoFnFC
z)o!Cxezh9(JJCkr7FkGFAR;WB{DBzmP%>~C4v*jsL|AghYJ)FDmqW*FmZdl(@}DBT
zbx5S-t^8<i&hbB?w3D!~o)i@oJ$B**@E%6WNMF*eLcTXt#8548_2_iz$@?p{HX&u(
z6wYxW{}MT$2K~iC>GrRsAsgIxyYowV33uTAVr9JEb5C2)Ql-w)!s1YGK4^@A6YF~g
zb|wION)d`(R+i0raR2`Gn($ty+u7OZ<igm=pJv%{jp}+qau_<d^{T=!s~-};XtFrf
z#vJul1OCTJ&&=X-*0k0vO1nP}*Pn8BoK??bDwK%-%KDY}R-*1FkGH=Frw7UCE3Bw2
zq`BJ;mmdq8B%_x)FQ!AdL-QD%Ks@hSP>3quW#ydz=rcvtyUm%A$jedXOA<PMYZ6vP
z__CVUSN&Cyaf<N1Vb{3!2oqWq_sn?f6dI%Joqq45rB^!&MX&!_E!fLkamnLniU2Rq
ziLi?2dXI@kjAcmChCt9-980Z>@fn1aWL&#LHrvvob?H*opi9uVuP;jrP$_YpG(rH3
z#%qp+s7NDQ@*v4Sdab5M?OWWo$5$IJgF>jWMnD{n1B{J(X2ZWwb@@M(H%skiPwG_Q
zICLv$hGFGmghp;OF~{v)#k6b*Mfim}=X3jf2?R8!9P+l`+xbxC(`<R`pu7K<UC(_+
zD5QENni|#V2%eCs1PknO{NL~qs=$n1n+c)>cOvm0L^V(wFs(4VR&A(EtoPw)bIQ&M
z{#rw4qijS$SorrS^2$G|hIQ4iCXyE4BUzrWhBhfO;Tps^^=CZ@ODK+1T%H$1+XwC5
zlOZ~gtZ{Qj3djWi6$-v9GxZnEjxX4**4_5WuaIF1+x@oD;6bG%PbFcwOzy(+-T^fV
zqzEBp^SD1v(Ld}GK+O(w;Wt4?*&sEws8|{K?QqNWo%&q+#y+q9RpK?kK(e-`n4^Nd
z3i&z$%wK(#%Z6XR@)`Vqm{M5BHaCMJo5L<Tf*S++fr=T(l4uxz?jzOzSP_|5T#hhZ
z8&()<Ny7<4hxB-)0lb@+RakIqrhG=;1&Yn0Of+I3Q0Gg!=3a%L4(~65S3otepQ{{I
z<zpJk^gD=-1Nh(pLt;6(-Ma!Yqx*PW4d6*=`u+R@Rrw&QF)4kl`O>Mfe&bsiW>5Tq
z5Ep;#Q|oc4r-0#%jalPMEApb_q3!M~h*R?iU4WT<P0}ke`T4PS#J&2mpPxhhDa^2X
z!esz;MMY7Uj<~+Wb_ZU@YXXqK4ZeO2<)w+O?fjxYQU^3dchb|yyLkc0ML!%s9d;d@
zRTxgbsFsr?b^2`lnL8waoDIyAW9|yY^)9=$3HV0rp4gtU`^%L|IMK!TztbSd8vhdG
zE@fZbY&A7X4}`*g_wM7rFb1mxmTj!uBf(65?qT18?hxL0-nqz5__W$fAZ*aDl~8sW
zP}K6+{0z$#Tl;NE2m^>~v*eXyFbn)XCq130m8_$9`+fNtCckN~dYjPm2Y3=zR{R<#
zq|$ZkZRWkdOTG6GfnF@bPV{eeCw`S!6LpJT-QPp#>h0BGrDzsH1xn%IKus<AR;z`?
z7r$DXh(kAHo>gkOL&*h@!_l2p_<C_6R;<G2?0`+mz2qIQ+@(=UaD|ba^ttt;BVjD$
z;Z9C#Ht|$nW6>OT?|Tf{VP$<3XpG;aV)B<jWmbyNuhat3y6c`ynA}{eb{dNFCDnd(
zcPvrmGnD3ru~s;hhDPZN2Om9lJodQuKSJfEq%23D`(@xLn5X;I`0sCH=$o?`%V?vT
z?Vxb72(>adKT_`J(yQaanbcWiay~F{1JByg*@ApgH>uh?4Bu-~7YZ92E<Am_o62TO
z*i9<Rm*VbA`@@Vu_gSL9*bQ*s%FJ8?7p<YBl$D)5_U26*o+S9AA=<><1%|-P4C`m)
zubJo8G~}dp;U%KLkaFN(7NS$HxHRLFwc3<tg{oovLVpJvW(!bD;(qb2Fu)eR;IFzJ
zkSr7{NjE(`{p~Ydkfsaw>}01DndYGo<!qivC91nG4+&l^5;%5sK$gDquiZ;VF<EB1
zrm3qqh{`v2@~Xqlguroi^rnua9{BHs`Inj8?U>oMZFl*0TG~@!iPn++s<|em+TV-I
zt;u9*(!SaCk*EzV%vMS}g&!i<i(7D|8vBPVzX&t&tuG3VmbSKy=ZA{X<M5!W?i~qU
zH}sdG=?Q^~!w<eWu4V8{id;V2{p9BDW=sD<I;_0|NB%_O(}u5g)R^(K`DBw-bbc`J
zYna?jOkhBVO5*!fa?)`4?ECs8MMdGH^v^iK6>qEbR$w3FG;7BZW2EU}`51Ib3()VF
z_9`FQ$4qTvYMOQH(x2TJIwd$yfPLvm;4v<vB4D}1MTN^aum6;I`h_HCcXvr{de<te
zTLcXGh@=A!a5)!{1rnpQCXtz<$cui_-PE`y2FSU8@$cG&Z*1-}>9y9yz<R!<qe86q
zd>GtxicElH8MDJ-f}iNCVbDdWn{Z5&kDx;szVnQmH)&~U5kV}(>ZP0`YNHFoAs>F#
zD82vbS8qcs?w#}m8LP<4NsXTs#gh18P1vh2t>9Hz^cTIpv>t?cLMuO6?7*$GG&2he
z)Mx?)IF>?xtrdDT{K312gn>y<?uj_#M-%gTIXM(z2wVe%?W>HxKmJG|jD5OA7fzV%
zr#ha3y#~H1Z202o(0SXtyCWgqTQM8V14g0;l_5}5Z@(!uo%93>KL4%)JvHctr>{H<
z$l=%yR`TZA-x;$lk~{c2E~gqSK(!RBJ>{tg9=_sx8BB+)u^5#e9HmVG^v1s*LMek1
z42<%(8Fa#A_AeMGeSZ?RVzuZW1lZ%XZtkw|w=9`w{Hq7A7Tl{{Y4T{KW!P(UKk7Z{
z^D3IptS)@y5d!dQD`)BX(KKfLIUS@vfv&^OX+(BBz2$&eDPYM_l>N2K0UXL1zi$(R
zS7l^06;@%{5`Odcjuu8cSC}(7STi3cG&gG|b(&gOD5|OH+g>3Jzk>;<wwCAkEdaC_
zdjP<UkK3r0;$y(E{h*0R0p6U4>K&o0MJBNqM{$I*>)2mWCZG!w5gQ2iP3lCxnpf3+
zF)@2tWg@O|AIqt*8s>mV9aUU9WOn!s{9aGi)0&t-JV9Wvwnoh{A%qPFtLIruI(uKj
z%S*2L)%OJoRuLE|;2_3KjY%U}5P(KO6&1{pdHp2{j8R(L?30bSyM>M;#{brkgCMj}
zNVviuL`asDOxIv#hk{gSI7r<Vzq?nj=x=>==w=TgC)X4p;bgo<6Y&mh^EsnFwI6Z$
z<{QBt4g8CZ+}P4mNmiCM;Ru|gr-s-QI;X);5R7bW8v43YDdISqZPX+z9>fDx+SP!G
z4po__1nN4AXO6Z^dLp|CHzK62f8SyDSU<A4i)^fp;i;>|Ld)dJ<qI*?q-&~c^HLE@
zEiVjj5JEzj-2R?Y4BqfX5CZ|XNaZLmHMv$k^DXbm$b+)Mig#m&IgC0a2xVRIkWAHy
z=^T}*vO;P^c9RAqjJ}3N8Lz<AAO}O$C*nm7iS8w?AIWz=P0o^hKeqjoX<og1H;%i#
z9r_!#A3l{|<f^Mc99o&});D6hOsWWgh*3W0|Ft7l2rhhaMNVqMMSNJWGqz5mjUH$K
zHk$9om%#wRD~~^G^QcEvm64ITcunFUq3P`9aC3%#%gVg&*IIwh*YCrYO#JGBzLRew
z@i8D@sB$z2G&dW0kUP`DDcX1a^kjsAjc$Gk=@YNz>c3H{nGy*24a(o{b*jX(%0j;T
z#xXPk!E0t-rt?}0Jd>~T-58Juqi)5gYgwQCJjE#EcOJX1;0-*838U5&gnT3FODgL@
z>P`%q>CYDZ>nbZv^NrB$oYOgtg$9#sicsO83oIY7r2j91qun(_QkK?2C+<)?UxfvB
zH$`>z5R4PR9mUv*-PHim{Ay2%b5vH-P(^;R;SRR%mLotn(vNfU)vE!HuR!3ySF2zC
zWi8DeguxT?zGr-)DuhE68gI0+v$AlYVI9Df1o!}V8!(`rnc};5?E*%prlvqj+F%K?
zvB^zM9U2~vQoD#vEc{TDLj}@;F#*Anjc;ZM6Pr*sQgkDmAH!_*;`_HM(*M%}SR@F<
zfbK_{0pfNMrNO=#@Vi%`%IYFMK`*aGWSX}-kf3+*sBzjyc=nN!JcpeLEH#eHi~$DB
z86ewacBJLyN!>Vxv~c4qXkKAFb9IDhy}&pQ;Q66>9L)fne|2=w*Ay1L0RS;XKC@J@
z!nMHKkT3co>ard#BKJA6Fi*uFzt<o4ee&*j6+sc#xED0;%iWZu;Q$p6M6V??$7<t^
z56rW5N`5?*#GTQz^`=DqQt!bL#A|%AO3li`diodsrUU7%p<{uXmU5a+AOG6DXKYl{
ztjDfKln_c?<R*kYAk#4hM&?whBqhZ(66m&x1nAS%?)BNfF?Dha(UFrjB6~C=<M!>I
zF}uJ(5Mhh!n>}|&x1E5;zx%S6oi^)y1soztot00YUNwblk$_M9Qzy!v&)1qq2(XGC
zDkkCHpL)+o)N@zo49y+|RG*)C*X|cKxSQYfH?xT9?#YfIv3xT6+FEI)jyG?MS0z%r
zT?A<fE>Rbq%B;cp4-7DG%}-4gAjW2A!ai0zMMC^b&*;Htslxw`rNEfk5lPyFGssE*
zcnV%%iT(R~U%p%ltjGAfqxm(Z-MtcV&Ny_mGG0nB;SThd_}e}u+iZgh#0T-nqOy>P
z{>~pLJ|MLhW;tmUmD3o)Qa&GMQu_mUFGCjRz(H~_iem!<3z*-3i8eO9RX-A;LEX)I
zjI%Xid7-TO6R|2#U*RKao)LI?lPR`mMpuXxUzauZ@z+b|&(n;MfzCB4)r;#p8~oV$
z>=e&gA=S&QggZ~3c(1!pFZ$yKCMSLMOdik|Yb?Nc8$@Ry_N{yb`>(Z$$rCV{2jo%W
z2=ay4xYwK1!Zd#snCfl<!HMfr{_Nx~GD6r9iYxM@8Dyd7DF9Gu-O-KkrLZ{jX@!h%
zhe_UQ4{ZNFAeL~U!sdyU2Z$R~x!=uV?f=7>U4R$;KbpQf5X=8<`!Yi+iOh@$$;u`x
zAuA*yNk$<dD=XPsk`yT;R8mHg?449dl2iyu2qD?)J?`)CefsNp`ss`7{#@thJdg7j
zz)BC8az`}{4Xpq1fv<|)Hxpb`&`RuK=@mgwt^g;Z04Zm23Sy99rj%pw^PZV^3an`n
z$EE1oLbY<1hoGJd$=!kL3~dR3{XjpaT90Etp7PnF$ye*8HurJ$U*A88&}6ZcRa3(N
zx83hjmOWl39BHMYiBPw<Jbe7t!1UrODC~J9CA&n)Zt0%a(u#!f4W=s{9b}&TTV3BB
z*L+SAALX?iM(4MtocyvAYwaQpV%q?gGSMON=!5Mc=^HuV2kRf9lIPa1?EeE=*0Eev
zgKif@HMqGkY<v1F-O<ZS8ga~+_*yU8UAXAA!uIXCEy%!V!{Kv;5@B}cGAPsw%K?x^
zf|_jdBs^e?hbZ0>G+yBTHqjr)PX>7Py{O_aN$!jAGe)`T>bdRjm<v4vvBK<jn#cRz
z=eh{A6^kbP0WKC?XpK@Ke4DPd?nc+$v@|%XK$;cR={PwtF}ECmmP{<=ic$s`PPiW6
zr4pNsREo}?1qe%Y|MObPKEZD(R+gVnA9Mi6WX!}4Rrkypl;eY}^g^$q3R&UA6c}jr
zv>Oe4mwib=CUsoPFo+=Nzsv(+fR5Ycpo|O^fpuxy-_gZpD16}Ur+FOz|2<ik#$6hw
zU>K~d2d;JU(b&o?cP&0l7LRwX4KD+<i4}-g3P)TsBaK9wcd5mCv3B)y*avHQc>D!_
z6JstARP2{e+?u~x{3GEb2uQFPRg#bhK7<(pMUq4!@o2BVY#V=;gK049=wBFblh>zg
zFBmM?PMlSu?5L&y{W9f5d6=HWu`nFY_O`ZYjlCH8lHNjMCf<^GfO9*D2g&?8mIv|7
zcjecu1qK1eCXm@6C?9N9tk$|CzsgpnE^>oc^SGmFs5qwDaCs+93JFT~(ndd33I0r)
zQ0>7B62y^q{$F#g!zb-o)%18I<?3&+?s#{u0-d9g5PgKYZ}CApZFcDkQD=8&8L`q(
zmRq_4G5Rh^AfWGXC|!|aRsZ#eA-?&Pm+J7~(16|LX=`ua!^ufW;`Nvue#Ir8XA-Np
zMKV=iWH*@R=-aMw4A067Ul?{xBy!I0K=>AHaa)G}ITz8~-F^-`z7*O8a@z)5Ds0^G
z)$-F^sYX`uOianbgThGBeKuK!6#-&{0PV4Iaso|ZjClY;7DBz!eZG^yHGl}lCR=4|
zhuo14{u@j)6-H)jfAoYd0GWcZ)_?o6WVC_U{@<TQ@@d+=dwSZ-J1O1aY@;&QCUy1-
zyVV*s(}nL>_8T-F>1cRHi~d65*h}_19^VtSf9B<8U<JjxF08l@;&u2a%D};xBdTe6
z(m@pyM^$CzpFqZsKks)CK7`h2@B?HXf7v!r1sB%W(_wN%#f6!5!y|SIZZy$JZq+-u
z0=DNDf{Q<k3ae2PgK+{c6wW9ViZCj}LHSRcLb6)GyM|&VeA@|M0LfOAR?ew${{Lmk
zs#1ol1J~4?k`zFOpikW@7`qp^wiG@IXB4I6b8})4$d4oWN9C%_=W)1}+pHh`isFg>
zAh2Ayy7Z^=#5?_c0UHEX+{s7D2xzyG=N;6<gxRj5<xu_mhEH|nK=Wur|7x($hQV?l
zYrxR{=-1XA8U5w#g`UI&H;Q>51n4BC@Yl=+sl~(l`L_Q~4ZV^<85?@BsKz_KnpWqg
z3YwictfgO;m3hi@7Mtgr2;;**4Z$zfH1w?7DLo^@%F^<jtY(3{_D%i^S*)?yDw8+o
zS^<0>X}&j-LFYS~;IFYne`Y4m<1_e9XiUJc$<DR~dTcE*m<lVDlCSwjLg0}l{!q`?
z3byGzhF3_Q(+Z8(<=-Y&R$K(mG{`wG$a2Pa;q8slz?u*fcBdmC-+%CR24{dK6zg=n
zPv9xG-E^q28o=)Bm>vAw=6sc~3^5;l2+j^RW5PdUq5Fp2%$YNL`spy{p)qXdL4ie!
zjQI<Q8aB<K)?t)MXbE$enp=k63OqdkMAEXd@RCI76GsFLKKa-2)3?KDBN`zf4h;>(
z3<NRs@lPO(B5@p|T7cgG)InwHEYjm)xX=C*89Js<`(a4j?R5U5HRSrOQ(sXmuUx6>
z80DkctEzf7%Ls;Z*<xdW@;^`S(>iW~y6`<1V-vVeuZCygd;1~N<oNN#2J8E(W0bp?
z*l9DVtj@FviYwS%DgFw(Xc+~C7|J`^{BX0ov!CKKag8c2LF$>=cSq@LKE7W?J#Ghr
z&Wdc>_`xxJW2L9g7`fBIrrWZFMEsSCY8EU&x1!jg1fRUR*WbmWQX1uK+Z!TJJ~{Nl
z$!K3l6ARwhHfFzcYem&8!F`_>F^ypP&7c9dxRE=DjhG_hzu|%#E3JU{g@C8paTBnm
zM0R&Ml}?D;EWbIZth|jt+$I#%fyTHSO`f2UBqK~MAl$mipZe(RzhNMZ;a4RO)jN{Y
zACb9RVq^8Cb>fBuaazps7Q?TG2o{CFTDaL3o$QND9ng#R*vClwnYuxDk9GZ+UX$6Z
zxptVJ5|^dZ!3EGu)v~u1#bf(^uRXawkgR@ftr{B!jlGOuYbXB1LTuYM01u@WGVJkR
zog?Q=EOFH%_4g$Q_8B!+mrA~3W<rp<yBQEbuTsu4+ah;J+zeloBAQ&jc(CnG+3}eI
zkCs_NMa8w)9JonhBKC!c1+KkrY$X3a_OSzpv*2_Ym>k(^-nasAM8PHNT=j?W3;Z#j
zUF^Dp?=u^VzLP)QRnDoMtR_S*we^DoB>~^mGOHroG$6-eIEM}gx;Gx0r`_KM1_rvi
zq~zqvfF({QJj&{sK>la0y))L~3EaMxZcBroc-C4k4NX~LEQ8za9h8|SVPd3uc9tYe
z1-m4U%59)@X1JrVNv=td<1lYT#syY(F1#L~M&dfo$~v590?NK$RM2~}I4d4`PQ1q@
z9JQMl&?ZHlm}#T^@MNg;(&5xU{ldcA$yW5sUAI>EQJ*OB#uA}xe5?x@3X1921NkXs
z;NHhK9B^ye7PW&L@vG2++1c5(Byb0TBME(gDt*tc|Axw0_YiIV##I}Ez>T>~u))Tp
z20I3Vs}>KRP?#(XKjagp$Y!uD*v9(V{rlF-$}>)C?;n+v%=vO(yUVLXPf3;}>$}1l
zFnnqz$_B+XbLo}f=OD9}0j)A=k3S^k6%Bk)BE-`|U~R@8oXHuPSxu+M3;3>l@%t4s
zk<_2FzBsPH3gWpxE65Uq9u;4rOwOFCap=fE50FUPI(^UP6}>ErmqESw_4>sPN<H2$
z;HaZYpV61j_m#^aVzaY5ANNd@nu}m=0s<hAw10P;&7~wGA+M_biT%6@EyLw(0^2{!
z_YEwWruu1A9(8CIojn<%cEhcf^6(A*3uV2zj~*dn8jvPtTo8)B36mnP0e>Rs7%Y<$
zQVrH0&Pm2J|CpTg>HUXgAy(eV@agD48*Nbl%P%}^w2Uy<nw4iiLmAdUnWq(_0q<w#
z7!8aKU!6&0qSg_hKaSEExw5kts|QI!izWF=IZ-h&F%gk+OEFMr-+NpJ*!bBU6i2I~
z9!F`q2zBY&ZPa0o4H0kI+qm01I_~KUz!C=YQ*v@7hepovhsJF2T4%%{D7&SV1JT=A
zbMtzU7=%BA-YI-rpO-Al=nl$pV&af@)sZX)&Exn_17HS;ZER!2yXtt-QDEKtVD)2p
z4FV}D9(sw^5kPi8fsnPhH*qjycy<Y)F@OT)IknP{RP{r2ZE*8}LGDFoXUibhTl{ZP
zLGV*-k2+yymfJG{Y6WZ?K|V!et$F;;+w7*LxF5l)kEa`({~UeVjeF(+Gu~%-&_S~+
z&<vMc^(-S4>gLLPL^u4PBV%8NdeTuk)@2{}t$kle*J6w6Mq)=qQ9n^v%krm&z1EFk
z!K~rIw%4QTU^@ZrxcF(nazp$(zH}#D#D<?Ze~hW`?d-waqQm^u&|jWVzwVe0;+KAC
zIKPg)Hk|4N1O>@}Ok0ufLfU||va%=x&5UPWLBV-{KcXInRh^E2*wHnnbU7@Pg?Efj
zOiz!_`r@gzZGVOqjVnP8<icHd@HwQWl8#Sq?yThFCr`5P(SU83su9;Sfgg-Ht{K{X
z0!ByN@mj^fIFvBDiPzdiLy59Rs6kl-uXI5{#0LJVhb$L!y1sxO&-u<CI__aX*lnK?
zV=->VI}8q(hX-Sd$J(=JNyb@5zDjU$Yr0m2b#u=|`<pk2i(-AVFTf2Pxc<{K`tD|5
zo<v;TEI-B1n5E|=6#H@93wF^?r9almJ)@X3;p+g0l+;v^S3t~c8mgBSFSR&!fSX(m
z$Q=w0-`_-#81~z}Q!1I_TnTpC005y^nAPRt=EgLI78RX{YZ=7tAZnzhvaKCFHPz))
zVTtubjfq)rBvsse@V<KUXWEoHH-XY(ZbfhkricPlsTA&4=mc>Gpw?`h4dwapcPDMh
z2oKE<j4g3i^2(H=O*aaIx%<dAFU$4$h_214yfIO4k=L+g*iMq?hMY>kcgKj0R78L&
z@H>_}v=x(HKf@dY02O2{c{shaBe!x68ORKkyHfur61H(gSEnul+`&Ht{cgmg;7m4r
z#37Jli(%MU+g5(zfY5{b;ZSv;w$Ezltz5&3XY*j|gc~dWva;`tHOeJ=AjrS-PULEk
zFRk~e)l(3@OMcHP2cvw{OI2ot-rC-X9W>|0JCE4HUwUIq@Qhqf!7lQxU?%YGsslqI
z97CIbqWW*E8A~W}D0}=AN@zJ!O#Z*RyMrc11AMeQ5qt2Gb|}s1-=wix|5a7cO%odY
zB!J=X&?nL`fW=%&1$W8UzRpe?308n?<{}101NfA1LS<O#n;tFc70lGN4DQIiZ%6)v
zzxdKXEh#ZP>=^fbR-W`N`-O$yb#!EAWV~!!jnv2e_H^qj+gW&(_<|WKq32H<icti{
zoLY&>w}wyOTeryI&laM4Y6zDkdCrYjf+{=XwN_WQH3|IvNl5Rg4`=ob*pPu~@nXME
zPOgbOCr$_|IFn{UR6}FfUT$Fii21;90f<GLAL<2uox&5NZq2s$Welb$8rZA9#U@o~
z^&V5=5~NWVVv-cxRtB=%?zr>b-pL)K4(HF~r2(2))*DY%g6t8D{$5^8>7po5=qsf7
z>`E;tLe%iLs2<2fa+Ee#iD*C?2zHHlv9-Cn%xH9OLV$@g4z8%XJ3LAC_-|sh%3n{~
ze>n4D|FOCbx>cS@a!ShS0@H*R1U3SAH<gk&dmRu3AXl&fJSy;<TZW;{#0C{_pp6aL
zlp?-Lq8H5z%7<OCIl2g|B9w(Um$3qrrUn7TyQ&7%(EIn1`_W>1@Fu^5y}iCblIhd)
zfya!zIo4licM5&`V>^Bli);M!AMJ=>?)cuRjJtOmt;CAW+a5GzcRIooxY?GMCi}qy
z4Va~SdEs@>GBO9$Yijy(<7}ihzsK)S`|q_2FwkI*m0>?7&8~d;_op8}_NFI8aN72$
zW`}U+T5UO}n1YlPT#!LeX=_kOHvk%qDK}mV%^=p<moLwcNGp;^Tsc&k9pWM)^weQM
zKl$J8I5%>+s-NU`sV%uNa5nsqcgT!V!>vcb_t@_b(D0Sm6!olT?QX;?Nb(nbqvNG`
z^dH-hT+87C)3dj-iCrk1DJCl^X$!;rI*d8{vB8vPM{EE2NRej;t{#A_l!s9`+~m{J
z(`#&+sDDvoX<bv3p8XhU#-M&&7~br)b9Tn(c2H0df#_W}s)rfClmJqPLFY}KYhU?s
z;oA@m*cprAgOQT*3<%&Pu<v?w?A{%z3n(|c_3Z5hzC{ApB@0&1npwrt<MypvZ$><v
z+mCvSV$^-`VDPmxZXKami;Xp;*{Eyh8|N|7Jj2YV_+3rr_)Y#qf`a%K$V}ksZW>Y(
zozUjL2~*Gyo_OXck~0e-yXjkgd&6w)fFN*eFb(}rVV}VsZ}03(UsM^ckkD+4<x^1)
zU(jp#A~-R2W&B%&cJ2%U9};j%-ES$g&_!TE!oo{4E3DzZrC3WG!dua7;6#F3dx&$p
zG%cWZ+&34^+3^=RrP!UOp;;3n%ctDCb$1ND77MT}BkOFN<^kImuU;K;0%fGMqjloL
z1*}K#2RBU>2S^_)Won+^Wh@0EJFKWq(+x!)g+OlxJE=zYZU{;)^}dX^dH@Ik4^2SE
z^iZrC&(aT;I$xOlgXfDsam}_Skrl`rN;4P*wQC!76Q1;TE+t24_Tqnx@69-+azdc7
zAg^EVIovIIIfPv~VBTV>;p`ytGJ(BAyLz~60TTsSk<zM<-vpLf#6GxxiCvy@vPidY
z#}8|nfMGVZVitCRq;W{?aL?wZ3>{V3micx4JGEI)<B<2#$DpRNy7ehocVR15D9bBC
z8rpwMb6{hLOZHzKZW)3^h<{@CW$Dk=nK(XcY4(Gsb`bb4LI!PrSDm6B8`SB_2{HQ=
z)=CquL*CBT*7c;&+nW%*Vwq4N+UR+~JaDT8O8v=`5#A%%qKJwX<mX>|E6qS!7xE>(
z!TZ(q-cyFBC9<pvmMv0JyXL*C(W6ZO)y8V+dpGPqp!7z}pN9!XN|N_OU|?;_aDxlX
zyM>r4rKk8T(nPruuGCn)ps5tHGzsb*8P0xwrL|OSm+XBZx~W}`6wJS5vB(136Zi$z
zIY3u|GGKcKE*lKEvL6FlW+Jx~3ZWsSqrz>k+7|m_u0}WCV%<IDhR@?0HT@PHhVZU&
zjhtwR8bKw(01d65qcl)-99)P{j`PtZW@f5l)WC5(e!Lh>Hm2G81w9yzdWx1>M(3cn
zIlczm@;xZAU!QB{cHt*MWW#?(sW5EAj@M|-8uU?DSJ(f!V!#^$?wqb=SCqIaEYX>u
z83oG#r+WvdJn(O9F!XLBXN2V6jK2hTtZ_{qg&4A9EHdMn2ds(~p?*dp%%evFyxOlh
z_g0o*GMvU)11(H*=j_(dzAxB8ym>=IAi>2Mu&c|#OiFAFPvjb)vgDb3L+=ZX&h{w0
zqgbPu2x}JkVkr}QB)auQZ-tPhf!4kE4Gqf&bNqI!Yy!kf(3>LzlhKsoFar+gXGdw!
zPQ4cAn#J1DK~a4L%@?17Jg17$wkRh?xnXzQ^o^gl+%G7Y^2}WAi*m5){_sIULSkmg
z=8M_wFO<6lhg8pEWQ23*2q$*!pf=>w-_JxrebK#dqxb7q1zA~BERpJq@<E}+5ysNr
zIM1uX5_cx8-%Sh?_^X@eKrmV<Wl-@jVv>=Pq9E<s+QLuU+dqQ&s;K~bJU&dygH52H
zgpXXiKxmm=L;tp>ArYz`ukmd?eE*jCEzJ*ImLF>Ocyta>Sx(OkFe}%Om4OB_`8`MO
z{(Pb4-o%bkbW61Bm_p9(O|+I4VxYnPQrZ5I#dGy6>nFFrO)Y?+SZ$FU<Wfu?bA27a
zyTlY54JBGO^z!ak`slfbz0kn+2@?2x78e&m)W?ZB!Ng2YO&fYY3QLjMsf$OCvDQ8x
zkrWZ*{*N$ERnOr}KwYSH@dI<sqi5U6tDd_RG!}|f$|0ku9L8Mk?jTd4V38ucNyg@7
zL924H*|qC$7r%(Jk9>8T?w)B%A-4SlJrP>R&YYul^97e6<v+kg2fkI!%yb;+I{I(V
z1g+0|xzOm+!|ZEuVd3vGF7beLgPyJ~n2M%8OgEPb&8rWx*!Q@~k7I369IA4wp!LhC
z`le98p6;x@*zXtULZ`{26{<m#eUdKpwvHM@aHy1gBz&t{xPz29x9f#t2cobgz+;ta
zlI2IGsP&x?!GZf+SO0Z_N^dxky8D0q++q}#eSiMAR&N6NMN3TlX6$`AK$W?r+h6|k
zmfdmt`1tJ3o%^{(b?LAKtBJNvhnBWk@K-Xy6>#~dhu|0oCz{l?WaB)Nz2l|Y<zFLJ
z>-Rq`IG!FKsSmvP%lD4YlUC(oH|^GG`(kE_i|Xhap=C7^5+8DFux5BGfj#WJzXIob
zfL>!}urkG1@zbLMV}+ri`2PJEj?lc1z{<N2ti<kDUrp15R@gWt*4h;c66pTrhLwKT
z=Qb4p5boeG3I#n5AzpJVazu8+j-b)@^f!hdZK+b&mje7{m9_q7fHf$(5W_Ti@Yu%2
z9&6<^1RhpA7%p}Ue2Irl$4@-QWK>qh(%z&m01d&tvB@yqhmDhwU!Af0|6bx?2rH3h
zTLqwtursPXpAISvw6xG6!2b+I0bM(XoNM1pmwRu|LFRZjGZTzm$Prv!uV)L@4Fo}9
z3;+|{2mBvR=Oi!t_}G1u78P}Ici(xX1o1zZ9A86g4`O9Z2{xu+lsu}(l@7rOS_icD
z_|5or6gjV#efQVP=`=Zc5`hec`ud<^+Zoeu>xC&detgWq=sT|_ZXpjr#mNdr^R`b|
zzmOYiFFcDZBke3BAd<1oKk#z*^-a$D0$9PGnMBVc4~Fel`|N}+brR9U)^wU$ny@o|
zg8OU9oDUI`BvU`+XLXF)ePgc?M@MVrKmHK@=WXtwNwv+3JJd0-GdsVFx;~2n=mjb1
z79VQBc{~ihK-v+58b$x^);8Cx^dKjk%al9dwKRA(Ga}gr+ExS)^q=QC2#FM8SEZQ-
zZ)@`hsBi}@08_hoaRNOL#%*?K*8dpy_zlETaHsuyVlAsip@t34O7gxJ5od-lSB9vO
z3_jVu5NhakTZX|KVpYxYL3(F%vQKO_)Mn$1Wt4lg&6^2&isN8G7at6yG|pp+Z(vLo
ztz;1msmpS?I27P7%1apV)Vpy6Y*qXn(KG};#^F6_g7u*dJSrvGxwL0$6ZG%lNf`u_
zsrmaW8b`WikR#^n%iY)4z84!@?-=cJ355jgh(Ni75w_%kb=*2KP+-$gA_5~>kdYD~
z9PH!4D8d3evqMnFSY$UKa?U59!uwjgkkfBTb~{*N?M`c5#ES;19+se=t?4L3A#Z>t
z!aIr<jnh`%jfY95{5oiARhNGznQze@Mp#50q;Sw6MTB)9;9gl#TpH55krmuD5Pl+T
z=9LXAH+RrX!<L|bIovguLVo@gI>E!h@1-^R>lX|@U{nQ?W*n`E)c<h-o_5Fn5N%xq
zm54kfIC#s21M{zXEoZpJ2?C=dX?sr854qtE@$PjggHh?g#zGk(aV}Jwo>J)s4eu%X
zS|00xUJw1=kZc|W1zHO7r`;<M27&am*+sLtpd-I@h6t`&$Pajz*-K$qJL_7){vTU^
zsfF@MJ;_uWU6Q#o4bf3cG4l2P>HQV4a`*UkRsw2UxUPt>(tkJKp;}IHvtz)oVtuA`
zpgytiA@};&QPR@GUr|AYVIi)z%8KKk=s%~teHfh>D5a*a@o7X-C{rVE7ka$iWrZ}P
z-aBr5n_J}#M)1+T{Js6bMF3<fpilw;pHVTW65-$6@46UEJ$T@zO<PjqK^!S&j@*sy
z`On6Mt@Zu#&&Vf8f5GvDw~|#+QGR~kGn*#d?hV%U)xoF}0ZY$}^WX&ER4>D82z>`=
zMksJV_g}ZPU^;-j3Xrup>s^8(7;6fZ%z^LUudA33xqWdhlbSn<00At5pZfbLeaCaA
zr*4A#4(t`1hRTI59D?B#P%O|iAYMlVD&|KpSknzs?%w?d>IY*4N+G)SIeAnK6a)|&
zklh5j1~^rKvM|_Sh{t=W#KkH5(g0RZ;-aFEzJX)<KURpnb;s~5wzmKLYZ|QYVBAZ6
zVNrnUhE5UR38*EAR4;T6-7O>w*5*er)E+p`_D(H*g+@58v;?Xg^l9;kg&rRV*cG6n
z%0L4%0FMh7bOe%+;8g-0*qrUZ+~wKIrCBYCBC)ntS@j|tUiZ5=Na|4)9ws_;TVH@%
ztEki(Y@fsecxCER5Jy6b0_8a&UUrJ8maw|H{ZCf~f9Ornri#%4AS9)Rb@oNKl5w%v
zx{sv=zuuBn$m(Hi^L?8r9|KJo2$R@b)Y@Jj`xsnct#4=WV9O^bw8F1<vn8~2efy?}
z?_|>y$sDAFfdOEAr6xHn=TE9v-NZJk3be|V1hYj^@2hwK2U{Dc$V0Sp*tobN=k$$X
zs72r)5%+~+TZZ8ieXasqRvLf4#ORJuBs<9KEs4nwbZGc^4V_O;OS_h7(0J=3*FIXg
ztuJ)wJm1=DO)uTi3FaNABGAl*iGhN<x`UGZOVP{hxkB}<`jYx=HLqO!cQB{w?C%3$
z941gt9-=1A4j=(-w-*(c{bBbsNY~js#^(L`>rr<K_A(^26bBIl@?diq8;9ODXVU!Y
z{1Vg<BpzZv#q_yRJ4T>>%yo6dL4%@WarkoQ^K!`ss0Pg~iM3^LFdOD6dODf2@X!M5
zEX9DL0qwqg1^J<6wezA0ElI**hO+89yO)~Wvbn$ij;}_-Bf*oD|809jc#<GtA=CGb
za?8`9Uq@};oD1Ao9tAVNpnT?03fl=WQBkzOmDY5{*;5eW80hMPGLoI5jA3zj_D-Bo
zW=D%=PbuZQt<FZ)pXfJ7TdaM;g15{!-^ink+x6}B8;p41TWtvg``FJCGF`Jv4Jq5n
z2xsvyzB4mb_T`%^%m&NLNdy5H1nr$~HH(!mFB4t=3udmmtwjBAaze-=i);tMbA(os
z*7vGPS#LT+94Q8vDlUkD^N{x>F2TSu^%FFf+kL~_JP2<Udeth9!dj!fat7+tOax$@
zU)XT|n)feDY3TS9Sme$|Fd6&)-s;x1n04`^-@ma=68w9~bMJ)yNPhC_FSr!XrQMH@
ztfg|yk0{i`h(tSoaC$4#PaA(tjlDbho1QIv9`T4!=k+>KzwJXB-VgX^Gf*B>RmCzX
z`QDiVGLz*Txz`q-7OzgPjE5Wu*RD^>X1?%Qo5i-l84V^_v!J75awCm)^N{H6p3?f`
zQ2{5N*tZds<n#of&|;>_vNAJ~-QqpM=h#~*)UdEhXu0U((k$d|Zy%`>j3xp(5;iA`
zEX4$AvY$T(WQ%!8|JX4ca~%Bn)1g`Mh@1QdMu!qt2WBObZ%bTUYJoM9G*wlxBDl%V
zwmk~I^r`pmVLy5XP11i1w2^s#1R~x&Cn6$Jy}r=vUlWKZYHV_IawyinBycL+Oilgz
z;X{4f1Dc3NFepG_1MSBd{TT=3Z)k^_Y!G^nKekV{^39-I`S>w((gYXoOI7$y3qZp4
z;K4b~`DjXgLqng-mlOF(-~ROJxc5#-?*Umx_n`-9Ja{4A%IaHp?kau1zlJfm={5Dy
zwHRpe&`6~lgz`uvwvgCmf~023-X4tm{70X3#cOf<7^<#I6Y~`{Zqr#lap#Y=x%Jvv
zUk-5(Z1$lbSf_~5ZTnS(V7NCOw7D8sS69orF{1Uwn1++wU`JC=26YL=d-?`8T&6VH
z(8aw!G;Ns^KE}up*Np0qNd*^6>IF8~^Nx6635}oeFC`u+=|w@D3K}*~>U`4!7HXiW
zgOS=b&L~}p6m(d?6R?OJ8osRn;=ovGDz>{!0q9KaD~*BZU2__<D#Ya3+^l)+IoLz$
zV{y9Gpxc}ha&88O&w8kHr+A^Qw!qLoNgs6|+kG=~v?m>D>`yYNJQ`+rFfo%OsKXfb
zuA0%2Rzu&Q@H1KDj+uD<N87H@&303c>j8v^sA68Z?SvM8I478eFohU$yTQLdQQIhk
zoscjEMHmo}qcnETJP9-e_F90nP?@!IcFrZC$;y%UdXlsCT5{&`#(?L0AW`Pdza{`F
z0KD=5_x+~~4>Ml9$YA|~gFj8&=DyHxsDATWhQA&sa|k4MtnY&CR;6ZF;2iVPaL-|3
zN&*Azg$Syx1W5A44S$uo2l}C#m0RQ~KfK)bkB*;-u2b&E!xXEPzbSQV6&+Xq)UN)i
znkcN|@*m@^=7`!#D{+$_4f9#Vl_0vN^XbmLTnWQ}n=HR$e@ixadtqxN3r$nHDuf#B
zt@r1T<9iOpbTn+;BzFiRm=z$t+8<lJ>A%#T62ddsnKIbCn+V>l;wG@eX~=7MHK+V-
z+vXK|f`^qJ&|{=}7P>33Ewz_ht2ng738HrJT^Dow5eagkz14sJo5TPRu>*1g4pW0)
zxoYS4jqTS|src%GPbAcDyUcK{o+UFhd1&j)pjx(H$~Rzpbo(|ei0FtNeZFL?5rdvX
z7v+dFAEwjSF({$Nn@lY^hPW6L!E#A$DKlC-4?PBiQFdt{aO?x`tpn9-!{{f$Spc4d
z7Y`!-0k5uOtMHSnynGS<wj`J8hroB?U(wcvfMHlN!2wPsGZW^q7xZL3d?&u%+&^Bu
zkZg7<h444aKgQB&!uHV`hH;0PHT3=9A=y>2;~abA&<s!zPcEYxf)I*zx_B{8WAB}=
z!_X-h32Bra-;4JEjZI_^j0kPt4FiX8W@&o8U&Gsb0mA|SfOdOS<S!nKt}bu@06m`>
zjnnWfFe1z~RAGnH4Se9h6t5L#WeMz@HH0D<A~NKMO?h8&a{66+brmH9TxR=HAOb?M
z?69!+_z5{s1;VV*09~jFfyw9o!%xTv(g1`<(|yuxNdL8MF}?wWgtr$wTH0^?3!Up>
zO=!_OcB~&hy(dp%FhT01lIO2B7_vA@`f4Im)7#7I20#3K;W!2EH#9{sYJoH!k_rTK
zfME`d&Hta(-G=YC3ICrcnM`zeS&Pjly%dLMu|_?sstVhTxP+Ym>wzd#cAM{B+k>eO
zu3VRdVpkGQ52?CdH57(OWn+F9L7+qVsoUz?!9?E?Vj^54RM5ZJ+-0ab1ucFrxwr~(
zIxeJ@EHwC$<k-?|l@&cyV>tM$&EkQx^%Oe-o=viZW(&2cbk6URKR)Z*=PWzt3u29u
z|J#?nQ*aOShV6){^%in6e&ABKJ4R2tu2T^x=^z-wf9bI!^X-`f%z(x48{o8NX$c~M
zd2}v|T9N>shk?qqyqv6yaIV<k?IP&kpU{;|rC(;9EXD`V>OW-hGN3&>=5hF-ck^9l
z`=8JHD6ZN2K)l8k&E^h*#rCLO@V9#?LnBeCtHMO*F3<Vk`W@kD^fqs0ZK62$n3D0m
z2|2&Jgis5b9y<umXf@f}H*dfLHfN496M%B7s-N`>R?I&Ij-R-jEmUl-&p>Ig^lgu|
ze5Ugj*0|OdX0Pd%(B`AttJ%bag*~eJF-Z#FE<DZ?HbLos9BP(O9u!}!N@RqW=4+;7
z_Vcp04kj8>5U;d-^Dd9<*~p_JtS`=9>A2-&W5<O_23)lji1u;J@g9*FvxvE9>*zR;
z#3Q~(BftsNKnK;;uN{F4C0GuhSysuM#sK~}zb1ezC&ZfvloYcnxEqnz=ZH7FSg&z`
zrnqFQQR>!??^{x@#Xc308Eo8utgvW+FmnlCEsApFtX;WSzHkKsqh38;_OM>=sHluE
zPdkYcLbS<kvumb9HA<c~{yahQDwe$`${xSlp@xOb>>LHbIepfzEteYq2=btXjnx0S
zw9Gyfzl!sTZmn)z_*UK1K5DAenYfOo8nYwP+c#H4UcH|ai0U00*dz!y<o|%32LoIc
zmM8NErYmY`g0rH@2_{X=oKBb>48S(w?8?U!u7H`t0W*JF#e?|AFIebO#pS0;hWRdn
zIQh!f9ZNe>zyZqb{EG*c@2!FK7~~=m3thn~{)emZE+;v&fg!7^s=9AqMC(Yl(+{Vt
zHzOa8zaba6l~<VCG<h>&so@W0h=<&mVeQ(<6)&S#jO$G>Y_hsCC6i_x$^&Jv56}jv
zjQof3B9k<h)L|iouUae(EiBk|ZUQ@PD^yWR38&mez+6sNMrKH}yRWZJ<Tv^!0!VzS
z;gjy)_*kBpJOPpnI!aMHh3J-))`BNbpl!h}&AVzH1Bv9l_PvRY2x<Vhgs#Y07H|uc
ztkw3AYIu6iflz=63%@X8vp{>x=^Vov8H%FT5qQ=9Cppi6?isd;7Y{zm6?%d|jggeI
z_A5mnh6hlJ@Jk##!W5%{<A^OH)?e7a!4$$s=)t_O=HBD{jN{YOLE!3DSpI<z)j$e$
zj?fdRuVG}!6AjtoyLY;TTU9>{qhR9$E)ce^V@V-xKU%&qCTzI8GT$@5;}iv)RW|-$
zSFkwM8zobEARCzYl(*SPk+rwmls)#?bvwD1rTEu2+OG^As3Rx7fbcg`7WSd85b8~9
zi8uT+W9bK&G_Q`DzBxvLHX5zSPg)iF@Fp81yxqFR52^3f-@v8u%j2^s>gk%j`SzTm
z|361`X#c_0rX>0a{QsT%D`j|ZV8#Sr4z&}Daqc2nTlu1(JL&21?N(lSWkBFw^C_LW
z)q{oQW@gRw^-E8cdTXygI{)_hNX<{>Vdh@<1rOP9eg;{lCGFMZmk%zC_wKf+Jnb0#
z{IrFT7jb@HTR7$OwDX5%V;!np-X2Ik4`0F4&p$73lqc=dOin*#W$}JKD(GWshhKnK
z#%N#9)iZKEm*5zn*#Ff!Ic1WTWjDd6LanBuLD}vQEs@i&Ks9HQVrL*Ta)K;!tHQlJ
zItlTu8Y`3DRTp0U)4yoP8u^Rg>w*fc1ls!Damvcs<q8>QY!ZfwH|(!k$<g~Lz$ko<
zmFLDp>8Ol{*-j=V4VmAFQ{QR*U>^iK(#Ke0yl%CQe7f|C{o{G7Sn_K-R%XlnXN1+c
zl-@T&V4F7up5XK7EO#$OP~akMkflIDP7ZQ~iEu$-A@$6rX&UntzoB0dOC!Ckds>DM
z9hBR~#-fYp!`EjQL&#*s%dPz^Sq(0y?|C6FH-$zHTQ&6m=U)x_oNWsAlAssZvoyvZ
zxGanL|AFxZ+{RcHU6`Du^tq8&!Yvkf9CSzgfk<`8$M>J9bJ~^)rs))l`lfrlH4>6t
zGSSqcCUgNl>tFY6R?!yoF7;n|{6}M6A;&(KV^cmnh*PmH$2>f<FPw(?dOCpBM=9r0
zTgtsB_HrJI&sBN#L@C_T@wxKBn1Pxt1PE6}3AMj)#&>XSPCbT2HZ&S1f5`dR{GM1#
zkhAmIr?_QyE{Io&A&TSp*X;y}WDRHD3jn+HS*RIk>LnaXjyRShDc(?NmU1K~TzKc6
zYf{u>QBfpWH^`s>u)iefm75OIX&j4iXm<9UvHFB$hd0pb7>fPeN<Cgv&MMcPEQe%C
zQdVe^d-mu8XHIZy!jh-ReQo}g&=JX=>MO9az+0)Wf6X9wICN|IGeZ#HVKsN#9}F*(
z6kBU+9xSf}l0+@bffsxHJ^)_=#QS~x$jHHQ2nG}g#{-B8jN9}nmfgyBdp|{CvPVl}
zRgj%F3p_Zd(-(j-%-2pV@gcRd%?;9;U5t$7Q|Bd5VfsT?V)_)-q#d8-n>Xe8fk-R0
ztnzj_e|`isC;&l7A+oXIWiEu{0Vg}V)1^xZ@$ulx^o_u4nB>a=iVA$6C#I$f^762^
zh9*){5)Mh{tgY2@yPzt_w<y&u>H&9%ly%%6h^Ff=$3MD!*u=sa6H=_}ynI?n;)M|<
z>NXzL`%Kh6e#T?^`k1O<G7MIMl}|tX9UfIwq&hxBXePvSw)e3j0Y;2U38xVFh6&M}
zmuAOQXj|5+T*G$S!s3w>!|D$5MY{)a**}$P3DzB4XLtS_8PU|z;!+I^_}!IXQ?sXj
zMV<S~vd&DOoLdX`%ttQi`N4Y^CG_Im5m7etBbQZ@7pe`UQ>9hffkJ?F4D?2RL+@eY
zJoT+qs;#|zXPU=-vtR1tdO2ddZIA4<T4TbK1lpeBJ7q>8Ihhr!JM-Zmnmp{Ya43*G
zT6`Fd4;J{miPC_=tbW}96oxy1G-z)QU-Lvd5*8bA&3%*CH!eOnl5KD&Ee*E48t(2?
z^+I1G)NPRE5?68VR5G>CJGvjnCmkQ}t<p@>>jB&AA9q$n#(jEzaL)G`{P=arM5whZ
z{=-~J3f11LkJzotjmW6$2L^%y0@6<SEKe5Vvt_r*i*&{Ddb?6X^DH`=#-PfO!}oly
z-+Kl4`YP`ugZF!Z>8=AhgY0~}<M4B0w~60>rv(lQP8eW3{GujyRKb>FVD6uj^l)W~
zYnFOi^;q@luc+BU_fvzk5-2*Mk5upv!1mJWVq4om21fyeMxGxcEAMw@=PMb$dI{?(
zL8>jktuyK$wLF`mc20|n=J~gMxPRDp*;77^aO)^pdd;pBu<O-cBo769E(`RDOrd4n
zw=gk$v_r4`fo)$ctHSJ;C05|0u;3m!F=VhMmHj!kKa#0!m@)Z&VA~7#mS!-fH`fmZ
zt{GCkkx<-D7S{az_|6v#6!q0Fwni8Cve+Hjx&3oa-j>pS`ETJ=<8Q7X)#T7>*~uA9
zHNN!CgFk%O@Cw1h!xP+iZpvZMEu&_kee29?8<UrIbKXjxs&psbb5&Qcs4j6>tR}+I
z7Xpp<GpaxSS9}T}3Z!}_xtM>pkVS($KQl~qszJ45pOp|(?4dv9Vf^oHixK|mi&dG|
zwBPt0L4(U7=V6Y2xalGA|CRCFLyC%wjm7I$BB`4HSg*?s4+Uj|kV?wiBBc$CpVP-;
z3{WZD2%w9G%eJ7PgA;om%UJ(q;Z;qY`~O~#y$#$s4@;gDygl&Y?;H+-j2m8q*t{4-
z17?b*#>NZOxeVs5@|LctVjXvFHU%r$oMz}>j6AF#_qvHS-npNUrFcc{-O$Q1V&Fz@
zfcNzGbZo>R!QLH*f&wNzI!9Eq{YxKlRImu&_(C0K0~27}SbEn5B<Q7-lqTKeA8D~+
zR>9zCp1g;hT`^#3=Ho-Xn1i|o23%}x<CByBU_Ssz2QE!i)YRZBe(LE#1TX?9ER(Os
zV{cOJ>kea07Z(tK_i%A#$X(+4O7XD~*pI4e9e5Z2`PG6@Me;k($$=9akXj854dB*C
zkG2dBf_(yCBA8yIt-&rI3}0;OAe;cbjJT#X3=_j!aC<N^s!vZBlBRna5g7@??y}xv
zybyQ3{GWF`JdnZOfs=xpJXSLMV$4pS#4C(S=Ozt{dzwyb(ycf(g_;k}(A%5)m~uF|
zxKtnlIhjRDR&q#`?#^<j4$z_d<~|r0%v3iVcn!f)h$Hg7ZWcT{IC~Pk!Yix~ah|K!
zF2@wmrbnh(NNzpg>3)CvQFiwSv!N$JlN{LGSgdJF0|=1`|3$#}u5SV7VUvmKREw=~
zd!}m8FD=Gnj51e`6+gDFH#^^cF*+~7{rcwM#}qQSG~hu+s2{`)0&C*;alNEHsn|nf
zozJf_q7b~~rkIYxZuNA7ul{YF_N1mYs{rJvxC@Y?WZ#PRW^ZEj`BR1+NB(#s<J)Wi
z{2MH(7#P|mp_Y55s!YE&nxXWg&zd9slZotF3cM+PNpnVUV;7n7|T;&z^U#bfj`
zt`j+_w0lx-UUsbb>by|hFg6ugl>^VA@u9JAF0vfC&J=2Ik7PI?oD_#b9#8^^KEk(k
z#Y*9jBmo2u-Dzp53@>k1X(=<Q3~l^dT+H2?dTN6T-sZ#KLImr5X9yy$`QyNVI0Ma_
zO}Bu6zK)LR?B>+B4ylp5p48CR{~=m!&x(E*KjO*#S}<#Sb1Y|H8M*8hlCBonn<_6U
z5~j)r9X0ceR&pM2iBBD_q2BbT;oEKE4aPKbwEVR^q0yj3^D`%FL5Zv5QelH<mD|{d
zEH;sh{c05TQ{J9onGSwHI_tPMW}>hGK-UlWbk80i3I;l!yNp%O4w3n`HWEvE#aT2Q
zvCpdLj^4X}W2nc+|I)DiY^M&PZD<I(733ikW2cH-$imFZeiY_*ehS-`z{|_|+h|Oy
zQ<fmWodS8ka?JNFsoPQ7IB>YgaA%j<-$y5DX=y<n!bK0Gss&C-v@LM{E^$z8czU|V
z=iDi!vaJLYohD`t%oQjCBt+e0X)KpUm8HmrRU|dSkgIvV?(pf;y)dB%xRuKp3&3X@
z5X=70M_?NQllHoi<kR+p6xAOeqGfH@Q946e5kuDc+$0e?yI*=Izd2F6F&=!<<ywN^
z(Qnaj2VYkFxKnGmFtOFTS-z5KRH*HM3Vb2%TV8^a1QGAu9)BzzlPetijafS8FK8pY
z*)V{H0I>q@%gDt3qZT`Wm^6%M5nEZfR06(834v=I!+g&vgy*&{fI}DnYwU%n4}cP{
zlv=3;5amOXlD3Fjeg2*dbqrM(b1Xbpv9&=~aB8cPKGiA53?)Bk9{@i-$jt@$JBcYj
zJ6pY|hopRX_3D|39$Ozj72k9_m=@65Kwk)-8Wj~(EQSBn7=X;-A%6yjTZxJ8NLixe
zF^*WkoDAp*d-!+Z*w-Bp7M6rbRal7K-U8DJOm?_Z!DhfSg)t*^L4K5--Kp)r@UtO2
z7)cZ)k_Wg@8ezwSLA}3(Jh)rhD$>##zvA&>X1q56xiCXDJnn}vy($%X1IueV@LjUc
zRD@q$5v8Q01i3n@37N^uv`VDT2PDMqr)G!{DSP?S!;qKJeqR5qZudBOFam4Ap+GSk
z9Yx+i87dqqt*`Pd+y*g6_I~@Oe)~%$*8$I+JV#EeS}6x#&CMqntdj1YJegvp!+gJj
z%Xt6zeGu-Tn@Ax~H;|K*+`BstdqeS+SNE0=zJD88o>d1^OeLkhi;rw%@2Rf;>q3<V
z<@l}*Hiuw?!#>?}M}R`ZbNFpjG3?sqiO1*a2T@dJCilY_^a}`pxiEpx71zkk8+-Zq
zbk0YQukWZZ=ROwxz<B>vo?^-OoiEbzot(Z?@6<f8S#d&?LAgTAvW?tbk&5;G_>(-b
z@lRJGlbnuIj4jbO8By=>IRg(j+~j;-dGFY-X8aa;(lY^(@u-LJn4UOa#{RSTIKZOD
zV$`JJQ%8rP$ZiNGU_XJqLF550t!%%v1Ju7tC~DMl%LQbv`2{pLATrjMAi8M{b#<X%
z<qONXbLUQ6tsylPRp(>SE$OL`AR84eWQc#YKha{CIpF*u`knXMh?Ksf+K(ro-GH4O
z#x#+o%QR};D*SUFq2?m@vO0P=ceZNJ*yo0!SB(*KYwPP3%h_+weVmvVZl>yPRC2${
zo6$?<`eu>#y|^Q_#DBrpcqNQIW)p(ehEbxE1J7BpGRJHq3x1SwA))IrRqz6tyd}d~
z)`=@Na(De1@V1+q(^x~vi*3cfOW!rs<&zyK)b22HZ!(EbzCNoGW>0gMm!P4i?*lps
z3^0yO_{A)u5Vs_3x`szZQH<@$@TQ>4Z_8BOgcbSSN^jhyc<a8NaM7Q*R`P#bfc2>=
z-=E2IO-cPRXR9yE4wnNNdH7IMh{^cDuc3P#C1*L+Z~OkVcfLvm-Oj?^dh_I~i1N|X
z)g_n&?5q@Dshjv@zwrBu$P=)veL)#=5VJij$@A_Jl)v|cZ!pF+BSt_*W`4k?eo3>j
zqeEOyPVUg5s=B(mf`a%~O{#i{Yvv-}@|<RDwVQI9o4LCNj4qoa2=z?%pNAkuLdy|p
zQ*KV-WBf;|r7|Kas>-qu4-fpj*at>`J;2U&cAf-12%H_W)~xDk%e{#xB0#iV)wM%z
z!=@yYYY=ZF_Ca|j5WcX-zlPnc=-FCm1QLgjA!OTx{M!3MBcbcusxTgdv-SpNvDH3j
zYGf4LK46BIAXDXPB_2po4^mVOvy7NnSdy5o#fAg6DSi2pw3ctx{1b;y2}R^|iTyEP
zASX_Ap_S3t8xt4D!AklA1v+{HWXxmO#M-I^+tFN7bS0AwlpWX`{zo{Be6)gJj6V$j
z#QGHGLS(C8YlYNxQo;#}YgSfBQglVXYtmcD9}PC5=0-aNv$qBVNQZ9=7_&_h_>rKq
zM~LCGXCLOofM`|bi&Y90My^+q`>~~}_^l*<jDkadHizHl5iX@#Cm2e_$HXZ3{}WQ)
z2Fn=|*<`WRZP9pbif5rm{b`g&_&?S@`5mp#jlN+m?FLH@&*Q7(&k$LS*R5P4U@2)%
zxNt^IBqL(fd+6<sFYtg=fc89+=MdW_*OQhp`OrsWqk9Y{pUBsJ)oge^3BkC^+RTyn
z=7#)?!27@ZjizUmrW6uZ(yR)^m18>|i@+KCB7iY-^DpCFxonZC2!;vD_WuQF6__Uv
zkF~RN+lg(4v7YZYjUW}OB4{ffN1AGD)39j{+EUfK85lh@5x(&G)lRzy4L|<W=g|wf
zo1BQ>m&<6)Z`2e)`NeB@^uLb3I>B%~{QH`JyrRc%zx?Y&W0Wqbj}IzE`;x)A;3WHX
zYVESqL#yW%e=9GeX;)Z1s;HvCiA@P3+3R_vP3agIxVpHEXxPD<kaJp-TkI~oX4j|9
zS6A+|q-;|ndmXj~wGupg)=1$}Si=n4ZbbE6$5fdGt}ZJ*rtwuo7k*c4tUMLIf3~0F
znGy$`YTBRXvx}MWkFel@R0_^N`)*dR*Wq1jIOrhwBXgi>zOLcvYQuBb3?U()Y?NC1
z%VQ=L-3$ixTcf>N_doKSLmiBJYj1|euh|x_kF@m9Qxr<j6Jd$_U%u$ai%*P%OoW)W
zvWWE|y+rTI%nvznXE(;iTVwKJ>!s$(y;TPvxmRCiBBYO$`yJw{V4M5M!*sutJ7^6M
zP?*h~O98_iOnIq?d|dH9p(E+<7_21E&xq$y__k$6r}<Pm>}@|ohn$g~-kuPogox=`
z<`z^Yg7a~hJH7Cw(}CtwUry2zsNE_)=<>fKjGzQTC!-x{S1!68*_mxJ#@!&uJjM|c
z+z>x^gEQha*QDx5_HmChwbRM@qOfx>Dd{?3Tn#}9R8JAy8%xLXXTOv^-!l+Ei)|$K
ztM7Yi7fSQC@LR-vmo>~(nYysnc=(|)R845Z&n6f2rEuaH|7UNQ)A<GNk=;%@xdxYd
z(B4B+fj_@jmp6Is2dT}IA3lC}^6p+^Dj7n9(x42BY=$NY3>Hu&2&9@m#e46K1RPvb
z($Zc?)x&*?x|;RCo-WBxmwLZglOLHMudM9LM~`4qeGXrMoi*p4J<#wBA`0^DSHql6
zuuNC@y%1nwT4Z&`)bvr$1S;xd<DT>L!D>8j-o1;Bj+XcP`x9^#@N=XI0E5LJCN3_k
zQ>Q?A`(NNNR?F*F|NPf6Q$QyK8#GLAk7qIc1I0kr5D<dgu5`uAPpYb_5EKtzD~wT0
z&$A5fQ;y=fBYz3N2f!-a_5^>}q07H-K{TS6j!_jrIw*=@l)zL0$WC5fjQt?K*0n5Y
zlehT*EEhndfq%mV-ZK^u$sRr&GJ57ySJ&|Q0I&IS_Ju{d@H>4+VjQiXSkaS4a?Tq_
zKHHK|#Dla~S=T<_pKlWJEMcnx-_oh6^i4bY_xnZ+6pgw=o@`&z8FaH<{`-*Se4Vz#
zj=`@*t1}X78`PXGjWMQks2_OjQvHYb?%j)D7%a@dC7-pCLkxa2<EM7l`R%Y!M#zo>
z9=NBTw$t3G>gF>14+-_#+VP>?*R={r$yUIivCR1}`SnEOz7$%+qZ(;jx52#;9zHOx
z!OmWy4G1jKOkCi2rp0Er>5fPlf)OIcZ4o?)+L&2!mXLTuJBT=l{nD=vUI!9@mFlDG
z5c3PyseAJ8t%QHYV<{wvIVv2hdwcR`uO`S??QZZJ+<E52#js=h>QM>=$+Re*j#6Gb
zB%e#n-KAv+yI5)gH;#T+L4mf3YVf|ic6~I1uM?t+*AV}NEabjqe5bT7$(C>=Jb{#?
zYm-&Y=0v(k_STmtdy1r6ie<ug<I*KVZEeUuaVGnI@+vFW<m80iI}J-l<FcjI)uf$r
zMa1xI#E@!}K*W}Wpab|6K~uLVcobFo_8jhNmUJOE?*lmJ>a+-f!;9{^J7(vX#ft%U
zGRD~qd5y7_)$<fezRCn9d1KKVI3kTqmlon~>`IVXwmyaLun9lkS>w}P_1>?8-(Ilg
z=~t{jLU!yJbUf0=P|5&he3y%&I6XBrf36O)Q{;Fchw3_~g1RdOU{UG61!t;E_a;`K
zz0RT<F?!`i@L^YSLg^p7!R0d_7`x<aH;&TZOT2RjUJ;hvA*VCcKFTHjBVvOh7h8eH
zm$~+Xm)o%|n_tNxSh?GGOr~#>oNIu#ox%19Pttu1q=;O0sKa~M5Ox%MWTfU^D*mxr
zlyU6l;GoBFVow%_Cgyr4rzhI{blbM2D|+MR8O1sB0|0DKgG!iC8<Vn-eTnk7(d350
z#uCBxExPCBkGZpC!A65k-gkIX)J3p7obeL%lqXS+h?zAxG3z>l>ERFVfiR<B?4JDD
zKOCgrg%A&qk$1=L$wq{SBa`S>a<c#Jc0h|5s7Oh7HU5{4jXwtMS{<Rit$WhM<OTR^
zu)!1auqieN%McC$wzjsg0MLE-!|HtzZTXQio&{gJpPkL%S-41@qW7c|!b0@o`%51e
z6u7|s1@)2X0Zs)lK?0qs@-_|yToW)1FZmc_E^<9K*7g*9fSFlXqQb-V_4N@;AASDo
zvuB`i>%68`LE=M-=;`D;ceHO;0!J#kpA^#+myiHIS<vXvbeK@NEdL!r#efeSR!!Ct
zZ5hh<0w)n{59d2D56a9%=pt;95)B3*hEiaY{xvEPB8a8ziuairJRD2ue)S42c}RC4
zU<L?=`-yQ?Gdeoj9G@uQ<FWTJ@x}K79D?l_+IWk)z;)z?Vcdgyb<+EgOB3@ey6xMo
z>H=#VYF;3zNY`%E==A9;74VN!%4GZ*;p>v1I>$z9a!o^I_Z$^~hb7@7LQI9`#kP3b
z>RE36m6r)lG2CVeL9u_#KKy00>W{s~`ehRKMWn@p=8iADy%!}@85?s;Usu@Cy3s!W
z27f<<oGW+Zvc$5Zi8hy`dr$eaU-e6F+v25=EnIg_>FOQ%4ejF<Fvkcst0nGFDp8Bv
z4H;+eubgtWBH)_ZCe`7qJR`pI#5ST@cI@|Wb}lXmu;0IVGZ?+)o3oqS2M4b16iztb
zSX(0%4_s73vtZaWhp4IbYhR;z_z3|J@IYf9tfmY0+w;|_)IeV!AFHv~@jr(MD8iJr
zN^6C7TB1{Wc|~}&@!`F*u~gYCezIXyKiXvKQKrVcRCb*wRU-%IVsm+!dp*@+($cpM
z9hwcGZ(=y2MS5#Fi%0kGob!`*+To{t{n|CRV-HW7WZt=$h2@S|jTcs9b(V!uvOBm=
zG#se+4d_Nd9ZXXQ-*<H=mEtRbcx;DcWwl}iQ6tZjjDNl<A0+2Cv$os0w`1SlgY<#^
zTXpXp?{!ge|3P`%LR5EF<xy+=td7w6J4vB6-H5}CG0qE^C@6z1EX0e@4(RCY7ZU@w
z@b~28+8Dp<*~uK62jz$d&60M47#txR82C#qVu%uRkx#*S&nybizZ~4R8xgC3Da7RX
zku(ll0H|BrrhO_GO@>}CM{n2Kq)|}{p%x`rUq2f^=zKS7->I2hz?v`ZX^y7Chj~<W
zB~f2s6)|vN$DvwrikUt%Mg!~m?L|zqR&3pi($enFpQ+!@ZZye%zDB+6wR80L*Uv@r
z+nSCF&i0$lklgJ^L=EHamH)r*5?mVQ-jw(G)3<)Pi6by7N;cyptC`P_<ui{Rqp&ZA
z#LOkq1|m18zv0{Y?fr}C!9i<miN88q)sWK6foAl>7NXt0*P9}+nvFc+u)vA<8^ks9
z``vsEX0H0v5|aji8QhAB2!l)&2%n!1yPwHQIP;hBnE>~dr|IyFdTLrgju}(Y;XNm0
zOP@c#_M`L*<v)v(FI6S5A$J%#L4Xc(b2H(gib<_65JktwM@}al-3U@J9@jEWdB|8C
zaCJJY)73X{(L=O{fu%+b`yF|CZBfC^Hr$_}_W_;3J}5R4ab}Q^RA92KsQ4<?lA0}x
zHbo^a{Z(@_Y7;E?9z1+VGR%DO!X&o~5=po+{hnU|2>N8~*DjP5q{#8}KY*U~;luNQ
zIkDJEX&r>l0XVeg(W5||vE|&hV+RW}v!<pdz+Mea&6B34?DUZUwXoYkHsU1*FRy>-
zH(Mc*1ZMZN8^acmWvKR$%}p1v7yVjMQ9|fN+`W3qA^@ncVjooW119O9AO=<X%_5+<
zQB4O`RN%}2Ou%5I1*As6`QS8;hYXL79yQEDUkZ#i3Ct+%q_@(FiWc}vIJ`jMZu%7G
zrtr0tr?7k+Z>WQ7IZNSC|DU-5U0KsxHG#)Z{s#-jC8nnXbVp92EHO~AUA1az(j$+x
zhb3En%c4@;^WBS(|5RU|xFuP@5*l!I_)*WTk1yg&Hq*D`S4mJ=89QO9eDbSn_4<B-
zLBg$sK<+KHA6li|4uRUgy(%FtjG^?M<7G<kxC;~^XiY$ayxL50nY5&U+9#vp;0gE6
zD5)k1%sh(eVh{&mjfR6FecqP!wX-Z%gg~d>-<65WC*R~#<03Llb~kiwey}e&NPmPy
zGiF@+2DW#}w{LeYoS>C3*wC!eea9bZ<LC%qGbZW>+cD|>jFayky}^<1z*Aoy{o~<j
zp7)j%&RBUpa_Bn792y!LosRDW`&8<2D^++!;EvZnbJz$mqNOBnL(bCOSf^jLmAwax
z_i`>k;QTXx`EAjUVZU<d(4oA$^hB&0%vuOo&I2P7X@#zqot_#%8v~7e(oCG>X$)t>
z7DG?}(zS=RcsX9Wgc}T9j!9CmR#)5#H^eu{#DN!4fU~ncKVzPWu&}z?#U0(lM#?Yi
z5~lluUF6c{h0n3}6;qb>J32d~`fhnY@t9Mr`YO{j=aCv}*WHq|pRx!yTxBHYXvXnp
zwY9Y%&?FI?DVO*Jxk^4|Of?>AnHi#uZvFwl58^PiLM_eBs3ji5PkTwUX<&-*sbA<z
zjAL`R!@BXAxd^rupjzraltj`3?kVz+K@e&Rx>$cpv!pE^m20qVzPLIYsPJ7}wa$`1
z7+CGUq|;yve?EO_pF)Kpvl%F-!Bxq;C*t)>7r(X7&3=l4EmE#Qx-b&qm$_g450aih
zQ$-Tmg5q3!IOpr%A5>4#K%hdU!esg6Nlo$MzIzX>ih{tuF-TV&skn-csNG)g8mIwR
z<>^^QtsU5`#2dt27dx-@=n*`ij(PId#C9B;FIKj36<#p4!@`-L5#0{-%YXlR__r^F
ztMSlm-5Q5?@Y*$OQG0at{&7>rx?=NuT7*<OU}FhrMUg+<K=8J%&iTTg3FVsMH;p5)
zb}KJ>Qj#gEm_B%6HHWX?wNLAIC3^H2+6*9jG8aw3<OU3;AVqw8nw8anz3P+WHh?V6
zMIJ5NsHxT8+^2`E$JNzUU^UIQv(SpcJn7T;_>Eh)eojxH#Y>CJzStZ&aY{0ey^cTb
z{*9g_Nzf1#3H+x2#b=OSXUmG`SS?`@^Yp2nSPC>h*oS?Y@=iVv-Kq?GJB(rAN(%nA
zML{8QzCYd==XQ}yMSlr+pmz#gJ<cthHtkEM2I^FCFJT#FRefEJM_X4nHa^}3%CbwB
z1V`VluP!3h1R)Tt@mg4Q3H)Swu$7)3i7+{DOw`m!VkqN0{vM6%)c3>=Prdtd<l~&5
zSk^#9M|{!H)j!K~L*?iG+pjChr^&m+8}(t!pkSGA(M=t+rq9N9qVxO?L_un9gvp9~
zf!9K1tHtI06vx1CL#?cW)B}SSRJqSYIGDNMvF(L`K}*}zZZHE<S}#vzBRy<;T{Q)_
z84Q3wJIk)>AFN>i@MX#a`nJ23RaN@~_)}W<D@WU~hBdgYEx~2<1EdO@(NPl1+yeak
zSRQ(AMIM@)8$84Iu(4$go^*5+nl*f7S1iK8$%z<%3#LbQIT!I=VJ7(Owf81|@Gw}=
zpr)5hy|&`^yKd5$$-1xp_xTX{lVrbA`?Qj_iIc<Q^#hH8%?maf2}1=H7EcatZWw}O
zblt%XVn{Bcqy*o-8}!BHrtTL3?AzMzy$UZP#FGjMy@71l|EAtU<47BDFceBHVYGGf
zeNyWPb{SX(Kq>Wz5;4pgoy(JIhHmL^tJFx;9ZJ@OB5Bb5_U*^0PdxkT{8K<l=Hx3<
zqF?#k`$HE@7Qz*od_*;!q(w|QA2($<Db13tZ1eqFTf*VCUmFcEVbo1V91(E#Ba=Bp
z@Gz;3Zz*ARp&*RTp6!tMQcd`XA5oXTX7}Ypd|f~!BobKuBN{3`Vd&mPx2wGBx5hpX
z733_<P@3-sp+>yjxzDu>t4$};sl-hP2!MwnP37v{r|LR<MvjhvXdm}ZJsM<heU6CN
zcDaH4$BzeXU7+4Z0}ms*7S9f4yzTgSQD$L^15i9)Ug^b7;?LQbGt7?TQT;Jr81mmW
z{SjW9BCxTSADV;v(2*lez&r7Fv67`o8XkQ2HKw*I-R4G0Fqg98p+kNc{;~A(CEm2Q
zLY3|h^cV&zo!`Fw_NV}Rmy{t6U#yR<zk!XwLc+yG^y?-_$!jn{KX|X5Ofo+;{tm-6
z^JjGnmdhOs1M@Q6=5dRyvprXZbZ1SyrVd4<s8TdZSp7eqzB?Z4zJ329D_hyKK?9-4
zUS%dxGRqcOnGu;qWG7{0mJpJVGP6Pwl0;-HqmZa<zvH@}*Y|h*@x1Qmd0uyMecqq*
zeV)g840DAk)2+NKG7;~M6R~5ubaP=h#@OTxn!hYmPoCu|?*R(~-aat6X4JJ+%%42?
z@4jSqZH;8LF=bE$BO@am&S3RDgw6QCfR=s(P=M2?X?8YZVIZ(8!mw}-W&mv9;ur5}
zv~B3onvUck9q6+wgLoYanh4chY-~wsX&dBcohJL>>wwO{RKzGKC<wIvq(5n(?TKlh
zJb5#ZOOlY(j>hD`eJw}><Oh-JbLuaklZ5;C1sJJVMNEwW?{wSSr#^f3EM=z{0T+9r
zQ8BjD{djU%O0kKU`j9tBBbN$)18xtrB&C55l!5}0?|Z5NiEPp8;KCd~{PFEfgR>-`
zv>Vt-3Q!6iNbnutfMpa$D(sUZJ+X5nV&MF{aKFRW<4(yWQs==uKVD7|t-7zRy&W_@
zCwu!WqYxba8#hQ2Z4u1!NG%GxNc=yroz`%Ld2UoQ{9CuMaD&eH&yPM&iT<m7ezvdP
z=|6Ll{rkglG=)Nk>D2Y-ZZtTDu!bfQPJG;?LDUZJpxLwht#bG7o8%nQAE$w)rlZEt
zwjz>5FaJfQYpE0Csn_FD)j}loJuTi8@PPkMf1K*t!a}zuLH6|hpIXD5`ZVTylGQ}c
z50k}FI~OkZT}Zk>4Fx`jJtPHNn3d*jZYHL9I6}6KSm<Eomfd|QUK2~HnD(n}ZyN4o
zXJ=-PfXkIrB$uuu81k;vSzrGXpuStrar5O>$s$LqNk;SpvP^2<c+o5>qcdE-Ddy!O
z9zq)3Zt+h)*w<y$U`O=+dV5*{4OM9O+@$4e1u$OAq_(2`_&k0ItBiu5&81JVKHtbg
zLipL4^Q3ega5m*8QU7yxS`|Go_U>Ny@T1+kKD&y)fcTiV0=3rm?p0*6Bura4K$$Ig
zAJ-Fa1v6>%kN3r~BouK$d@FvpTa7reW5g8#Pu1l&3qO9?m>`eIBdpcQ!C|JrpwL<J
z;&s~j3z4CyyO|$ii2SD&KFzL}v#&&3x>0VJTzOl@wVl&wd>-$?4Bz(c_iX24m*cOm
zBA=WX*}^njn+N<gRoNvcVw!vc*?#IgecQlS=leJLoZx#sn@#SoH9Vk?V0cEi66nH~
zG3fQ$7o!r!94tZTYQ67L4a|8H8=OCX(4fb~#(L<SkT?c&&<B(VZ70SPb$ssa{j)L=
zcTt!%pMB{VQ-SI>Re>xw@B&wR`xQ{DU)m$VIf|7;`s(yqz;@=1U&;zq7Sn%-PKy-r
zN>4omTZOnn=u+DLdcKF1o!zIE=h{=_64I#yB)mHE!){eK9MTN_!+KhccH<lqaX&D*
zC59-lbqAP+cb7BfJ1juK_Z9M7Y}{7%dgfT(5j#>76~qm^k(QlNK_EDjCERPZ|6<7Y
z>TVa4+Z{BFTsH%EC?0B!)vGW;9!Q5d$XudTRW<{5=XYtFnx^%6gjs?73_F9U=Eo^m
zY~hL@bAuM3VER;$gP)6b-7!Yp7A6~R-S2IWx-X3P=i2l=%cV;i9EBMS#w7%yqw{%C
z>3$QO7A(A9xC~VR(7-|*gB4HnQLFPb4n742cG3&IcMRY&1=|fQWd1z;!pOqnwNU#n
zkYuL<$jH=JBUB%uHY3f$g%Zsk99sdr_b~0kiNP<9?-S%fG|J4ku%*g=UjR=c0&NqL
zbI)xaAt0nuRJ2Rnd;+9>YlO3d7a^NI4-*w=BNm0Dyk<19Zew6jf?yoPU$;?ZV&uzp
z*;5Uewlt}8&mQ{Tk!oaN;aYydB=HK4<NQ2uW&QimY#`JiQz#yui?9L1S)a-bf}wc=
zN^eSvFE+~|4fUnYfG!~n$D_~vyc1m#e#0}my5JTd#WvS3;-m)-JlJ{o9mQE-dB^OO
z-R2AM9?Ly#?f1{js-J0(&xo^Y9hegrO<AQ%qN-|`E;BmY<%!M@zHtXvNU;t6CC$ct
zI|beol4OM3cjL9n5?wcTP=b7hr3*H&jWWh@x`KOHqmo3-u2&wZxv8;_Zn38~>YJfi
zZP#4Riw>7p3&=l~k*S1LEjF20&Ap|#p`6t-11n@@6^4U8YkD_4$|uIhD`su^^A4~H
zJZL)WnxG#5NN3LbeEdr^BO<-2x#JmGdov;f2<&L)7G)0{2-7R6l=oSa0$Kq)c!jf4
zda>uzZ%c8Z`soX9R%hEi$5mZU(TCdrbQdI1U)Q<D=DYY{vPqT0=0HN5XOULUz6UX{
zKazhe|KM!p;c?gb5y|vbS(glDGGoM~K=<eADQ*;d?dnzd5)|P<*qUHk^)i;WA*=<(
zAIo@MD(rWd_4e0wdcGZ#?th5&+QO`22+KZ6f~oA(7qVYi>|^$tub7}u?ePA0Y-7v(
zHW_-4tJ#_{Em0$(lZ_)iAB8v8bT+2>R{qGnjnJ?rQ!Jt&CSFFUmSR-L9(_VC=tjql
zH&j2@IBs^GQNnK7et)E%+dpyXueV>4JofEBez|45@7lOuaie27bmw(P4j*=Ka@rq0
zg2wT<)928zFpm@5oTHl?8}`v-+MLbSM@@E+j5=QROvwWgIJDW?Bt87#Hs8LRof)q@
z882F>r`!D^@*yVTlyvqp9=+wgpd~P6b?v4kQm^2NX^hP7;1lljzjukv)R)*vIGz!$
z+wef}Gg2-!6oMYHq<&wOzSnfCz?(3->(qbMgfi~*4ebLLU)XoU9r~*5knnNyq3eoP
z<iVL_aU&sncmLI&ST*w*SLD->ZcjXV^Pkqx!u<>jkzElkb$>ns^7Xx9arP{RbEoQ7
zhR^GolrHnl!;Y{C*PT#Br;1-QIa&IT*>yqFDP@25fGh!X3mMjqC80UBnVjU@<iFo;
zRvgtm#~A=<GQ%Rz<@>6EFsp^urEsfc-0t|G^F#LlO<ENrJVF63!((9g?t}*qWHHU*
zF8`l3C+E!7W!X87<-D8me<}Wt3&7^%I9qPermdr+xV1tIZ=(%aok`AVsi4d0n3nVW
z4jZ|esSLl*#TG$yx>77}e33>AIvqSl;x(B$I8LcG0-=%MJah6SX;IGHVfW<gVYVjl
zMf)Ek8b1U`BTP()jR$$lPJ;9B-A1wZfN>!oLB!MG+_U`r6sfL0iTRTl5_3)`VVr_1
z^Bqek1o;^;x)BrH%N-2>*ZBGQ1q9UU<fS5;QTqVmz`=?}CkvlRaO1$px@__ioU^HU
z?^`EJ{8v4Im%8MTy&8m)-4$LS6e?<Jx74!_3k&0qyKi0$eLNV`P<J5(9ak{c^qFgN
zwkC;G4%EDrL-RnGag70goBf3%nb7tLkmi3hn)_M;-IfsDV<@=yFMvFK)H5mHwD0QA
zzN;D)_m<Wk$JA=tTK|DHXMcY(n&XYDXn*|gpE$bMFeBtSqfRoaH%mSYiv{8+?!@tB
zgDlXCk~)E;Uj9bk>0h5T+{!986EBLSUn8z{?Cp_!1;1=OTx>~_c)jzY9F;=G9hS|C
zHiN_eQuV!98P^ACw^R`l4loM9^}JA&$VFv8eM(ak`@{z(H<!pmY)y_WLW&BOt@JB-
zLBU9}Q<Fi{9+monEWVa^xAz)!!4DpTOO_cHY&G<-2LI}E4V@*^>91tOMP8WTz^wyH
zzuZ*Qt_yv1Tk!lmTSmeDDsgaF+~m!YWHt>4Tp3L$q6cJ#YRm-hUuTtnX)KIp=kb~4
zM+qEZuu8kMp-DL@yc^?E%xK!RCqph$oH19!6J#!(J$uJgBuSG$<4DODXI$05J0yCY
zot%2?B~a~!+fmv-9Cf&c_|m>U#B4bHURb(NVKY8k`T=ibJ@`GZtEOjW9?lxx<3fB6
zoDG!sBtMj$#x{DmuTM&jX>dV7sDH$QhH%l)x6C4RFln@eN80AiBMmIBT6l4aaYC_^
zG$=I0#dtq45$=i#Q(r{sqb`rl+pe_kt??qOt6I8gkotWr&lTxgxTlFJZ!Zw*Ef3cI
zAq4_{V(c|&n?i5hIujt5qs-nUcJITPiO62ZO^}WM&JX=?lm4DJQGSKd_mbNIjqxEq
zo1x;YZhKJEAUdSQT6)JJ*IPXS4K3WUnH0f58*uldYe*rB8;(3u*y#$?Xk%f7Xp)7$
z9CGb>#NQ3+`P<Ol%}ZwA@Zwvx17`Z03`}}lZxy86(r$$Me^Tc4f$l4dc0co5!Vf;*
zG<W^c`0PZD1$~%R;95^6&~k{PleKf}>+8Y#Vi7Xb4rs{zC1qO$wogz1W0V5LGxZ}c
zYpC+LV6T-c_!SQmT|<&VTAH|6&AaF18WG^5K*HRd;BIl*u1|Vb>^Qkm%Fz3B*5W;O
z+|{{y`GCS;dIa+yVOE+ZF@AsS{phHuG_|$Ul!6p1w-F&p&%khgzf9NV`I=?Bd5)JA
z2UrkmFjo%vxSz3RgJ&}H{7%^+pKqQUfd|(?_6K0Rd2#3t6}kqn#oFATJ+8S>G!MXK
zcJ}wz^g=43q;@=q<D7IXX80fRp`oLTxqTam7bc;M{5N<vBva2I;jsL|eJwm`?`}JB
z+Jw~9!n21!m>C!xJi^+Jjgv?LZz?tHYBMu+JHyfY01Ocl7LJaJqM@d~fFcAL7#J!L
zGQjy`YWpfUNK0Kxl%sCaP}KwmZvD^A1NlIQnBkKFGd_EJdnn=1Z{dSH0!Ms}&d!e=
zt+1VN$8Byk=BuHfu480q2)Z|3KFEgAOaN#@;2zdnUOtYFf;nG-o*$Q#oV_Yr>H{ZB
zY*akjw$JR%;F!M?<;ZtgQCMWM_le)(C#^gnP#*&*tEpQfB*#M}oH{*6FHH<dO`!Jo
zOJ^vvujR<;uw?(P_ml=`FQ4yZ{J{*LM^!dHO$%9i$|AR1nCaPwa&#-l$h*2=BQq#%
zxb;0V%kX5sujK_pAG1fn!lI%Ji1u~8H@d|#d_jT`&edI{VriL`H~wX6=@&vLbn?pJ
z>%CjeJ&!Q@pOrrD22^@w<zU<bQr-J}0>3Gq|C8&~Tayop6p$0GoVyffU1a`TgzZmz
zDKMTTC1@$A#0bD>@p@evXJclTDF2&kL?Sj2Z^gbZ93~5APQGP(z*RXtP)n~?=wFbO
z`~93dwHTy6%Qw`mba%mN@myF8Tf174XLpJ>N|{uLcxs3KEcxr@dl}*&k}=&n*}!4l
zbG6%2%x!lb=wgpbpWMsuGEIbOPF7YHRG_IHtbBYU$cKbwiQix6yQA%wN<pI18z9+p
zZsq-N(Rr=Bze)_eMuZG3)_ciKi1f1$jKd=%3*OcH_wBQD`~9WFhBCOgSkcvJNQ#tT
z;y5xGMfUb~bA;jB9DC$}!{o3#E>M;4kd1)x4S`{D@=og>`Hcxi!GYSO)2g@WPplK5
zFwmkT5d*!{juh?%SS%wu`%(9~eeul9%wKVZNT}iN+nh|$1tx=3?<O&PW#EU^jfHXH
zNN4)Z%REb-%6_%7=f%Ba8<x9YZnD6t?;xo#SR%5r*DWna%Qt;2i~jxX<>|*R()5gL
zA&=5Jo6d{zO4oV|YJyY;fS+*lCgL&^PoL!Z7x%s%pKmAJIwM_JgOq~j<Vaq75dK$r
z^zLlg%u9^jdtv{CSuA#}R`2WUm5txu75z8Wv}K?Bua=_0iSl5fZThfM9k{vH+1UxH
z_+Vz^BklLPA)2?(n@OLgOya_80;5eVYIIMXs=W96=k@{9CM`=NVXdXF(HDJeul%BZ
z2Y&`QSgfsGhZxwT1l1cQ0XSU-#c{=*!A^~VSSoQVT>qqd^Hq?~3A;GW;0064@ZGxp
z^;<tIwg-r^)U<EARL)IG?nk`JF^(@=$PPnTDv~rSX_?-#T*l_dUILkJa6=<<??{h=
z<T{xOd_Fxj^@r~)%)WqGAbn|I-~xs$-Uv1|J-xen`S4LjUWUBeXg#P6q5|K71c4^t
z-MNUA86*dfzlp$r|1k$6H#jGd;gx;YCn3Q!s!vGP4*?GeKpY53Si^x7SXG5cBCw5G
z-n>CxNRi>-r%#W29oy)SV)B3^WTO-i02G(bG#RjALDVTIcsJ*Lke?r{1z2eVx5kKt
z{e$OBFHQ}1?vQYSvGk?X_J0Nr_)l~4e(9@TUUOf{!W~2K1A$}&)?=qB{bkwrZsDeM
z>&<Os3Tz(d1lMf4?K~>eT(|-`yRb1JAV1+Y9B2BL>t3)im>VlM%(O6U(--o1PO+L<
zrx#!@I+*GIJ3&`b2H+JMH1}xczb2@B?>akQ-`kIMU|z=cf|oB7t;9s>DtEd`pBs++
z95|7=wVa1Hk7$(4rl5&K3^KyypzZA~9$nWP{WdPWlELBTJAz>-X)bXu=svl|<$h&h
z*7em@DD1G;>xxKh8cTNJ|Gl#-?Qy<-N}mzV#(}}4w`uXFhmRhOuc6!t#d+zQxAAee
zk4Cz1&{8}YM0LY77P~(7o>pPZfDrvj6Y<K8_NH1KF~6aUs%p+V+C=*|06VRCO^N%2
zrL;gltvBdk$oT^V>!(MPG=q^1jyWn_yu9<t!3Hq7z>hj}AmQL%jSE2!T5zbq7EkH0
z!!AQ{PA4znZlU~8-jjF~G-&a}#9-x4M^FE;7x)WYNoOyHS=Frh%bwj2)U@?DiEi-X
zO5~%ux)DI@>+7E1r0o7Gz4+n`Q{sDhcR2h4Wo+XIb481F3PD$><9V}n0a46*$VoTE
z?62-V!pu9pe<6Y~pOi3>{Ldq?`E8|#HJiv~1TAmE3a3<9h-vR}3K3SbkiS5yF(=5c
zjE3xrn7qYiz9;dtaA>M6b{vZM-{8)0Mn?zRF|XB?pUjhb%>3&vyWG7pyx;%(>e+=y
zyxQ+4Oe}D^sXR}b{+ZuukEtP(FC%v!6ElWjqHCdXUa+5grS;z)OTy?&HK0inDoucd
z$r$<Q=NLb4Q_vg}J586$)2gE)P8N0}_yp1s(Bo`dJ-zcEaJ&(IbNB;UPhCJy0cy|>
z0pqlt5$tpqxC=shVsKuuHa1-|A%J0xy(!Xr7F*#4ab^E02|~Q))%NdP&|GKSySF^T
zA68-bNFr8gNjUI3PO{FyfNzR-95FAOe>LiI%qG138DIEwE<)%4!H%N&A$%UdSmlWd
zm>wYUUze>ZWx$(H+*$8GzD<uaQ&Ms?G7N7&B%Fvy05wLfhDvqoRE}Oq!&#UkU!D1g
zwKHz?^XHp#B)-i3#SJP3<})1ZNQn;~FK}fg2O-DGSJuBX7;6!%17V{NdNN)v5tzyr
z6#UkMV1iB5{Ao9ez2jRuH!Qs=LLQcsbOS<o4lj!jm*?qAE)?NAdR%V{Z2!S=C*nGq
zlN0$O&DQSVHzCvw_>A{YW6b_1PBZ{uKXaf5LP?B(?cZcU8wQNSa|CdZl2Rspd#N*!
ze@LV_Na$#3F-t(23Z)EQjz<lKPmS?{8z-V|LeT)0RAd+g<r|S(am^C}5!m+N18su;
zzv_`%`<7)kLV@+MKU0WwtPQ<SK;ZB#p4I<=7sBYm!uH40qC+qxiJNn~MsNM&k7i_O
zs+z4F??}WuZ_ut`H^7!89DcX`+chG-cWv0=SjtatKipEb1_uK`27%j1(~ia8*Tfdm
zf>UfuvS}H%cSBzj85d_!da3O_CB%i`co2OtO3Iu|&qb{p?G<O;op8vZ{)fQx0RX~&
zLtcGnUaj}i)QMEdb!36cXY|zAsto*;+1sI`f~t|KkB|w0kq^>IfrB#K^wmS10Rq2&
zzGL2=yxK9d62ZH)@vih|eLbN`3^K-^ENO63_AvH4zl0Y&k+_j}@*#Nnq2b$mQ*6-G
zeH2m5GcczX<E+LBir{{<V?2!%be8ymh<53JWF_YnjaHwMv=sf(1EgGkcxieb|J42S
z0qcPC%NZB;k9P4M(C-gAOG1JpFRvXbJAZA=qf-93)%Ds8!Q`;eP;3UN*{e*SK_)u;
z0zU$HjH`U(X^-ExlgDR&!J!zRm_RFxt~fqvQb<|qqOvmK&zzbCM}^*Nao3iR)|_C7
zvHaCeIE<oQT^94IG?h)Ke@*oq8Y*<-F;BN=Zn*qmk2q$1ZXkO98RMU)n~yuIpJ#Y;
za`NCrFRimbtrw^B#W>fZkmkrb|Jch)Eh*<JzD^0)W=!)?1fR|M_xraYdkZ5g>vsVK
zMZ~;e$-LL{`IQ~719<KoBYcP%k6`%Kd32pdv_`q-R{1I*A&=dioyRga2;Yiq2(Mpq
z$9;|NdQFq>b3sSv0C{Hz3l$a^P#yOX_uN0O^(QH{Zb)c0Kk3V=WFS!A{ned)+2m*?
z^N4wPd0EMfJN9m!$G*O#BCu0<o`1+e`mLa5<I2y1H%^pi2ckcIFS{H;(^NcPzc8Y)
z9*oi8x5#ZGd%0o4BmVB)V-gbjJrT!O6+b(MiCM#y1uijpRl<3l-6a3f#(J?lm8zAv
zAe;zYL2q9lSByHgGbmqJ(4YeFX^^ppeZeMppxj9}T~^KYH&9r3)sI{qTq3xcoG9eL
z%z!2aU0Us3b8^xXnwq!K2W#cLiG+%3anW73t*>{b(Osjya<YJ&<Mpff+tA~#J9YQ<
z{kz3vNhb11?RYO3S9r#FE0E5iF9=(2Q9(iMtrE0y00ZEzfH)!Q_U(%KsvnTL;FWI<
zgAX(mmS_sFjRuVn7XIM0J2*Uaa&>TkHw(Vqq+Q)h|Ne=Jh$x~=;5S0mK;n^fPe!{M
zXuQA_;E@AG=2%m>gB7TXkf+6{+c-EJ?w#9{kq-}bTa)S`bGUMFaUppJ8M{z;;$B41
z4HlT#vEc`Ubs_!%cMJ%PFfhV@m2&R?(A#T(l37v&IxSEiqVs+LS|;d6ON?u<-9e=U
z=M?D%MTV#C&fskVln+uPAY;kYE0DaS42-+zS8b}E^mpQ!H@#UQHhpI01+{KaG&<wU
znE`(hv%Y%FZAy{mJ22#K*VZLAto(z%zvlo*#G*=k>^2A!3|b!?;q@84aV_@DYfsuO
zJ!!Mc?cvzM`!9EEz!bKsYRx0li#yzX25HNyKg+tnq}d9XJdkG5DOPcX$(WU)HVo<V
ze%N2I#WbQJ+n6<~yFOnzbz#kmVY_GP?0b~r*IR#zyRs_(RecOP?<=+|h*(h32jX79
z<b(~DI-eHZ-m+;7=I`IXpLv$lvzFi`*=>{dd0Q{JEb3<Agc=xwkM5r1*MT+^6sdv&
ztwYRr4@47DT~NdiXTc`xzE+MAAI>IvBlLdOMVP{4&O_wDyc52%c}F5r$Fwe;sm+&e
zb$+Iqe9&L8KDX35W9YO?Xj+MwLnr<_NP<w&dOg*3;8dfkEJGH`ojZ*0P9WDOjs9YB
zpXU++t_A?H$jBgh1gvnF-(!PTo|3Em>E*+Rd#emIADkjH#-ToF(8i(VP(FZrPD(-o
zpkLU%%};Zm#A3y(?Z4POySeZ_6{_^Z|AEeGwBVpKFd!)b3ycdMcsLNR?%Fk;5+a6s
z6S1lAlj&`zm~z_>U3Xwc4n=SfZ{tw=9me^9N3GuVV~tfe%S=D1a4l||*XJ3me3m79
z`zxDkasDVRyIU5$QvmtIu;`B9)fqNn?y|AVuB6Ja_?)_}C?m7F_M>>m%4TiF<<-@>
z{WpKTXC+&m5Y4P6Y;<vMteL7EB?<9$@Y&#H-li2K5A>zn5IDQiARQ~NuDV*vZU2ds
zH(^I3?A>u1NBoyMfMdn!WLPL3B<I`wB-f{Scvs!)-4`tyoYuQ`S=O7pjtTRRU<bN$
zMQU`#VL3*5U&~Wt=3M1^%k}m8;~oP4Q>R-T|B9Ou(*h)4k@9?!b-F=h1keWhOKnf%
zB?3pGGT#)XkXz2<_hcIsI4OQyWFLlyUt=>1K<8`F_GZt0QQW1V6}LfG5EnP)$zCT0
z0upKzzFsIHzI<ux4ZK!81f5}VA6y?mH9^Y?(<ZIZ+4*^1cJ@6Zl4*V;e`!CPx>$(~
z7|Cxs$rY{DJ?Ou)4{WO|Bd=>;zaIANCA!3hhLU0FjdFp1NN9WEJ$Hcs{0>w@bS2{z
z0x-wGAU!<H3m3qoBsM0dqtepJAp7+?g1?onGle8iQGv*VyCPVRTtGvLkG_S45}3kg
z&$`*xvHfSG0SWueHaqt985u5;sf7gvz(<aQHAYWIM<ftpq#%_AL<|NSPW;}zCq$A&
z&8n^fn5e3HU`mYv(M-e$V<qYle$EpoPC)u+VZnD<;*tdC|JY7RP?#GUN{Wer@1H1a
za?<cL9wc!Ig`m!&q8$Do^YioY^r#-%g6Hk0-d++-Dvb-Y?{`0$xiqJ9o6Pu5>>Db=
zZT+zyg(b%rxcF4AT$zJ7H&N7L-mBNBYrtG2w`GN}g5tCJvzPas(3Fia@wRar3HS#S
z5jW_MF*ofbpN7TQJR~iA8>5uWZ{kqXk<a6C^VdSwEv(VtYu{4I_S}No<zgtCl3L%W
zCLnR-AIBXLQAITt?~*@nXy}b>j!0<%etzK#FQz@jGq;LN=!M(q|N98ue}`E&%nJ26
zq6#)!hJ}B?)rRh)%&tQV=-j}r-+HfaE}7qxfyED^mvZ#L)AG$VO}HB&M@1<6qAkHf
zS@s11w(qViVJk3tvg3;h-)+zL9IvW-W**xJGE*1!;y-3g@%UBew9gDBr=>m4UR@R#
zr_gZmKFCa6*}mv-gDQ^W`&DYOSi<>3%y1vED_gx3M@mX6eTomV@W%3y1j2ryMx2;*
zxog*1b#W*=AT!j=#7O}$R$nkD5$mlkQcKlf*w>yb7n2okFa6J}!8or6LseLK_>Zfy
zvPrPMl%uSYaD1F()ujJ{B7-$v-pBOl${<$gRQOwGuA*N)|3@^c*#qm-y9O^1XM5&M
z&SeEFA0Hn`Ch_j=VwyJ%%Q5+tFuHW!r<N>eDEuPZUJ+Wp^fyh#JL;3^UMWT>DY(5Z
zz1<u+QX76PPUS#@u8U&zohMKKich63kN)vlKC>}Ncd2#nfytYn=btsk>JiSaHQ9w{
zlDV+j9$9Iw`|vRiJPPDFHh8YX0S|Zomk8qXO}sQFnz^6oRNCQZkWN8Jv^^n09?Vj?
z@|ZMeIBMkUw+ZQ>VHyH1Z1Z+NllWl$;_6!5{%sAgGnP}LuK(sFyi}O5+m!fQ?|e&-
zB2mqNk^s*IcG|F6`b%&2D2M%^7VU4B4tsXu1OLa?6TU=s1Z5n@B5ZlrVLV+tGrK-7
z<g>O_mUD<iddO#OKLF$u?Z1N~TdYJV&&a72vq-8ZY`lr|+EQnC`gtLBJ$_o7{%h1h
zN^gNjf3PmWF;@CTy<3cSHxCa`ivaS&ZSv1p^aXoy6+n9k;*W*~W$%&8>@D^ZhL}To
zdl4$IYZL4~1dssv0O9sM<CV6<W+F-X`-JKST%ImvNRbfQGtxuMQYQGC#1M*C;A_?}
zABq!~xxF!k;5FkLscid>aPoxsWRvYqNVt?p$a?W&88PdFkfog#tyR5|`s>#(z<jt7
z`}>WL{j)Jaq9s01^pirfc{)i%!TV>jVIj<fQF1F(zr!gVQ9Xv>!FhQ>4GwmKnS@+F
z4G?E|HZo^FyvfQM_3b|-*t`0^);IKhpaH3=HBV1(UtXx0$QCS<+WI<ky!KycC_jJb
z*}ESe@873J{#hh(GvC<oL-{kapOLn6&#Hv7j87U|KdMZ{&#!#F>+!!!cT?Jyf3HvQ
zOEvK~9Gb2Qod3t5*pxoFaB28jr)Q_<b*NW$-eJVMf%HvdVKhYGRKs*YFJA(@Hpt2`
z&7eKV(F4kWru4p6FVZ?E-!f@6utun2)gU4$_{j7(Y8(qQGYE_&#_~Wq*$OE{MT@bu
zh09N-+%+96Uz}eOjZ>j0?Ba19y5YMcEPhB<{uTL*NyU#HKZEGc?P$Ki6zDU5{p<GO
zzY8M^`+_&OW|MG42Hy>H0Er2*?mWvW*GGsB32C|orY4vh+`&3|*)Hjw3-GK&%Eqhm
z@^pFMyRX#)X-sZ|q#B!b<($#;2Zj>IkH@GJb|6jK4(cvkWv6}aibShZad*hx<2;#8
zbk_uz0~wm^>U$Wc|Eyu11EqdwXy}IzOtQn<Cq<s7A#4NQX~1w0Py`uHY5U<aWE$~E
zy9HaZe+<8ykN|5*@Ih5ncEkju;NuFp<b8yhnj_3Asw*w-5j5xunIvg)*J8~f?0N6&
zYhuE2<syi&0z;pM-&d}g6!%^8_AYhBwRw#9ag=SV?d457V;a?uF`Ab-^GTz-rV?1y
zekXU^bN_86ZxX{D@^oKLucOMzHMxokAKtBBO$-(Re^>_Pn;kXI6t1=+=mFj<_+5eS
zonm8WVtS~TPmqw3>bWIHV~Kwo*|3%2X`1|zv9T^#o&pVwi@R(q4u__m9TBRH?^2Wo
z{bOB7lN6fVPmPj^#VRS`I|698@^{b`v2Y|SYisE3&>DiC@68j^@Zt04#Q!)LixA)7
z1q?tqJVuq*E-T-y-Y`V3c(!KOvaNSo_Bt6?({A_Ea;{(6C*d_Vn{-r!xuoI4bi5f!
zI@2yDMbnVvtgQ~p*))o-xx~u;v>PAQg#$?#%x*O&jLwD4vN|h9ZgYnXkr0X>PZXt7
zEvxGCU0);Y;pd+OZgVYV&qrlNX8{gEsmF!8$Fw<14H*c-JJh3`lB{(_6qQ0tPE`1I
zjyif%nxASNBLy!k{%avXcFpuPAX<db=+Pz7UG-f&<#W@Y8_z_h%RF(pm6u0sE5KS)
z`WoewOWz`3GQ3J+D3^HTg2dC_W0*!LDO+#Fw||3;x><$WSf_JG+cDuYC!R3KO7tg0
z4R}+L-9$A}`njM0B^Lbcn$7>)9|ityJ4lRJyzf(gc$@z?g;1_luhZMMHg}PB5PvY0
zfV%h9^`#OORH7mxF7Wumzy+kmS-lea-2XlgZ$3x)0Yr<>@bEAQ@BouOPlui9<f-ky
zbNB9VP!?P|>&>D@kH0x^P=V%**{`J~oAvIkeGq<nO|JEhgLCEst3cfSmjy<9{KgKb
zoH&v(L|VJ^97%<PWDCW^R}A65ON3hSvt}af1-T}-p1Q)%5)x}fy+pDIp_RZsct+%0
zvPxmEx3}4gGRpts0(f^q`UZ_UG^5xRKn3#s&~6`eoS^F>9Rf}^AU_b1XRXbCyD})p
zpbtQ$zI75a^Z1V+&_BoV$f=(YfPaM3XW@4b&0pA`L$`&?6jchjD6n$Nm!we!(Ff|)
z13GE!EGz=d)cFU5rKF6C46*4Uqo7z@S;0@Ochm&%m8Pa9c4+9Vy}e&{*kv<BoP5as
znPaCih%J_umWGBz&NpV%oPGZ5RMzRj{k6<1Q|ZsYlx#8s8r7xjS$Zx(&ah31zQ<ld
z_8O_Di^9tKAuI6n!LA2kCth>fDIu|knmK-wGuYkDE&7e7MKVz;hj`!uc(WK98EvzU
zxNdqhzx~rP$>G-KRGv;=0K*$p8c;2G<M0#1n&_m;oF=g>d8b<$AanM?rs(}4G1}~I
zdz}n<6H`-eK0ZEH*1xHrbD$R@rD9;Xyx!3x1FwdqRe!+@gmR*5m6uPusiXh!8*!C5
zgRz={Pf?rA1EksWZ*LbJ0cizd;!iVI0r&&TK0qs(8Y2OVWrP<zDUGaZYs@G7Al-Kc
zdBE+vya#k`y_c)7yLb?wr*Rkh)&g-GKAagaN3N>ABz>=jiki>{N1u*dkq^NgO-&&R
zmt)lTC$t^14L7qdzi<r#5Z@&`-jMS4=PmiZ?+Pz2UdbK9{Yf-NiHQ;DIyDeEDTKl<
zct9xF*Ut~PL@Wzuhn*)DZ3^&?hEe471PI^`*OiYuE?4E{Y2@{ojUxQ7S(6v^?mDV1
z(2f6%C{ohLj@-c)*)CG;46!0UCrRFrE<64KyB-&r9@FO|O{uRY+UiCJQrwcpoauCI
zGXdJOBaS7Ejthwnb@M7(?|tRclt>P?pZgpdGG+N{BKOOory=^G>xo$vBr#@(oI(re
zSh?(CoAUlyKRBQ9A>YGUA)?~W39E?KJ+h1=nZd)MP2?+=l!k|IiN=jO({a-a>oyPA
z+Rvz;m%6@Y`GSD>lmJ8|-_y!jvM1YvoZYIb>kia+_lH+9_;uo6NX)bR$lmvgv-+2f
zNDZ^`Q96SE(Aa^d_><i4H4Hgu?NBT=NizCF6?_rKi*>q9(f)MzPODYKf=O_8L^}NX
z$6mG1*}JB4hn>(?;PKcb%c0B9``rL{LUZ#2`WLT`+ST&pOtKQj%Z_d}WR(Uet}#j{
z_AvS*%?iAg{qk4-Ywcrcn4m88U;T|^n`m@Aqo|>KU)nR&S!ko{Hve9H`QpMM=C#$;
z<~MIJg`6`*__xC4&a@Oc-r|wjDqV|fWWH9qykPQ)fCz;S049F$`tkGibq@;<k~nl!
za^Jq2vK~$noRZqEV(f7C#0(a#o{bnOPtW~Fp(?+tmT~%Pj8*bO@*t7$rNza=_(PnW
zyPnlIPHyS>jcbzdZg8`5xm3@+j1s;AZ73)W3fGsXk!lH?+ebblF0RY|kv?z`$US#1
zw!A!;b+6I7`JGXBe#1M5{@>Rg$Ee*?8doW~ME$V^*Me4iA#g7+R}L|wiURJ!OC%}z
z8BQaRQVtE76&aSfNa8I={k>OC<adAh0x;p2mV)uVc(BR5!Eyil7hF{Qh3BlkkWc^o
zDId7u1FBq;807EbcJIL%N8tubr_@*&8zC$9gf>;b^Md!~dE*{Gg+whz9a*zdcJGrR
zn7u0x);xmHH8jFOYCL-g#|2v~>ynDHvh&&9&*$_&%f$o>(izfxU}XeLX0AKO*lDra
z2XQB-Iu-5ElOB}B|CzAOC&wA|gjYVg$L{Y<=)F>5qo|W;<4N(lt1;i>$v~Er719l|
zwW-#RjNb>h9SPdKNZxx(acf2yn_bvbII}SlAY5>1e|##TB9uT+A8SF<B!<HRCI`?z
z6$6rJ(>aL;f=>YS!r_+h6_a>`#Yk+dxv)uT=#?Grr_$IR7@!ouO|%7=3*$urAiRPC
zm@HNYZ3mWp@xLKr%I14E(Mt5vG#e!3c!Gj3AbIu-obH^5ABYyz@&)BpE4xv+Ce>tY
z-`#ukXy4z%l;q^`ewXk=VDye_g&zuZ&y#t$LNq+fVCG_BF@nQO3bPAfaoHU+w4mTC
z?>QtajC^Jcfxl7w{{B5MCnznAy9W+2u<wGK)0>tSWNqONy`jvAm3?<N9B{#oMWx|p
zWE`C$el*Ste{_Xv7_1HDJz35SpH))lj}#K^Bd`msItS`FZUnIB;CN8$1=g#xfeA7x
z@G!gW`7@g!N<ys{yu2_o1AQRuf{Xk7e0-uMzV!U~1G3z5Vuu}WQzxi)j80XF3*Mg{
z_FF*Ab@5Q7AFGOdmdIiL3hP~0)zhB6=<Dr0VqSwE{wVE)@XJ+XV}*xv#k4>_hz1p>
zPcgH&XQp2<*SlH)ZyRR>_|gmval^yrVO9sUlL3<Ue)=@|;|CnU20ngVh-#i%615CP
zkdlK0r-HnEpxHBa%5ZU0a`x8D6zpY$o>jmCSm-!~?$eW6v_7=2Wn#l$2Wv+!@HM|7
z5&EtfB=14@J+`&n75c9ocqlkH-8YiuhP^VWcYfq+`r|sTFY|bxyeChme)bEdqc;xu
zvt0|i9dJ2bmX&WfCTpqo<`wUnr5yw#t~4Dwg7)p;S6sghrsqP8Z!7Lj)NW|~N2u?0
z_`uPff5Z5;+(>H*XA^OZU%Um{5r?>)uvwM<zWB4(pB8wnTs-01+R-FXtR1%_Gkik8
zep>Yj17X8!uROEQcc(Pr*0$db$I+ShJvB)HN%H63w6aI2Y6z9M_TAEdMa+r!aOh`(
zDEYh(L*6?Q%VEr4-#d2vBC@{Ws-_WjJx`uiamUcA?-7i4>0(xmzl`2uTx@7KO1*2>
zF7OaQ#UVO6A}a@9HwZqcOn&yh)J<Z`7q5MMd<rJ&l43P&V!^igE3I}gSJ6(DoYUiI
zcH79kBRU?sb2l(}7>OOa(;ya&E)S8vSmP}%!R8R+bXb^qK(!A766l9Z`r!th{e4Y#
zxg$X6bQS*Sn|rmsZ!NJF96xC#F=5YiERtZkwXs?^AP_Nbh|&b^4*4I4g8<62A3Xw+
zoRLY#3KJ313Y!yk$6hILdGXw4Xt)^Ub(}VtDUQwM&B%5Pynnlrk7h$~J2H}K$_UR8
zEV?+tcGA%a^a_fK#*Obm!Fc>Qv{4r#SP(AoW^v}^AQ=X53&dx5gXaM9<BP#3%&e#K
zS9?bXmW90#LEB5%+1j4-5dfRu-Mzz?T>FQIGg4AGSXl0-r3o`qp>JY4asd`$7J%8#
zo*kW-P|2~xUqZl|<KNFOcy?espRRfUtCNn79Lh7h98647E)*&HuRK3{NFuevqtbui
zg#&);tCSGxq2gSApM0Vr9jlgq_|0uXRNs6U;S9}`+tuW*b4w^g!z}zqH6Rc$UiiFK
zrh>u9XJlnz>Fw{Q0y{wN-*Ky$)HI|Xz+3=5PW$Nh(a{R_ds^Q>(7-5!ya2P=67`Rk
z>e(IIDaXDMNrUlom~zHcqAxIf&#vHw^b#%nay3uRNv!v=MEC;MNd%Qqo|V6}vp0_A
zmUtq*Y~b1(n-G4UIiDZa+teRs3|}FynB0eN>?Nw0dEu&`uMZ2J|Fi+H5%;`yEvfBN
zoj!|`i;HB6Hb%NjRrMlyw0i-r9dG@#5=rZI$^x5A<n-;?gTTia9glwJ8At=B4DUJb
zc#h@d-Hs<#2a9$hyZeI!D2xxkwF3sjMJLbeYOjQh-2hlC5bzvvPpNMlwP`tffRTV`
z0^Edi#c59M{S6Q1B(%jpKI}WW{xBn-ecBTVS;pb&m#ax(F-4qgCq6BF?&tvCegzd_
zcXp?^zqPM3`O9=wT%{1$0#m(E1f|v`-TNC1GgbYho1nc3j_wE63vvuLOK>ZM11XlO
z>|tYzKFjWK3CC1~UgP0?13?38>v7FY&u6636T2FBT5<>3!C$@swO4KTV(~iV;Lt+H
zj^OZToceXfxvCR4a(n`~z?G!lQ@_K+mg@J(&=KFl2(sk#;Pc;-B`CBG&)0A>1l-7b
zebQRmykcjo)}8Y=g7{i&geVytB_<YQ-aZR1=9)Kl12C>gK@iFv>ue_()t7k|z$0(>
z+>@Pfi;Q}w<mId^dID^eOlhO&P|vXnMJDYvX>N(mEAQ&*%9yyw*q(&{Wyo9X*Sg)g
zUH#9!=_B*c_bs)Vqd&s4?vd8Nb1+VhHj`O#V{jZC`~KY<yKB%0x@~{%mCJglFvccq
z>;~_fE(Tdv-Nwl!r_QPuKHr51Q1I!?OnR(Bvtz8=jG71#-*<EEkG>f1d{lnP9jbVX
zC{IBQkP`)k&%j%flOpqQ!^f2Ne`92}smUScf?h|<=Nxe~q`Zv*=RSmkvadr}=R=}3
zs6)Weh?th4;oT(qZlI~3KOczK1j(=^nj-<8LfFtj(QaaLYV|qu{I-c#LsQcPF<S*}
zGH5?vZ#cMBs_rwX^!NtQEbvd8I4zK)c;G;v#@yb7kH2gC<*9Ln%llGxZti#Vvc$O<
z7H57p6wWf_?c8CosX<K`jU{jDx81SQu3fXDfYSj{V1A*@5hOk1UH4baJeHL&u7S{O
zE+MORt2<{UfWy<gAh?IMPUOJD^ZNA+(7Y=ujI+DJaILzO3!LTq<RqZqFe@xs4~2aM
z%^@l2vLw<Q7w;WDe={V61P-+rSkF$rKwnc<CJz7Xo*rP#Iw{8hhfkuJ1_TMqCUB!~
zM@GuRm_6MW!zrdq99fK{px46f08B;o>=_*2`FS{`j4%2C<D0zAzI*q?w{Kn;$fS-R
zN1zj|cnW*bzMfOe-2QSo6Lo+=S&P=LMdeU^9ldf9SIcs$ng~g76@BQsbuX>z+Qaiv
zLzU8I5yWrMQcU{aj@&(a-~|Hk1xo9_fdQcASZn4%C-5R*p_!4LUGvEJA?t6#Winji
zyO!TpP*|d$NeTsg2JiqkjMX6H7B#Q~k?NnNP$v)lmXv%ZC;Hp7l-p^WoFHWQlszX(
z^r+VA6ktg(+4#6ZV}3A7{^D5;qKUtFYj9Z2#bqAdT?Gb)ZoYr}+!e3PiV4PRB0i4g
z4-muIf@ZO3a22$2C_+vY_rYeN<N@8-qsX>z9tD%H>#yux<rfqzz`D}x(5{Fl=5_h`
zZDVfO_ZAtV@6uj>D3jXj_-)Y#h?=udu@$-4t{CI{QRxe4c|LwPMcEiEnX50@cE;WK
zn&S1SXlgUdCTq~IiU|8HG-N4ZMXjWa@pN$38Qd2Xw-+a2;fby}Fi<hB6)Wv5Njr4S
zc4aUW4rx$skn*0)VF{DnS9-Zo>x^<xTEg{)X#L-Zn5;T|{DVjVJ)rUZq;x<1Q~b2r
zwFs7a|9}9PwHuq1V7-hF)CSldNy2Id#qBAfC9(S4R2kU+@g6UydFlNMWuyZSrx98f
z^Wbbd19$m55sTmFLQXP&u=u!~#L?vHHAh?Xx~MMG(C+ZD(<FO7@&#SI`NQrePw8<A
z!ktJ0hS&bo@Q_vG-=y;<(FYC3R$YHJ@c!&<zI*uBKV_SP-ruu|DD{}Oyn^Z)L>9+*
zxkYb;bN6)yH$)$4{q^zR^MMkN2Tu2{7}4_%QV|NL#xt6!{@oh7@sqk{L*aM96#|*R
z@fES;l2M16C8MWTJ<iX}H07<6WR=i#U1>Ni)#N*GRj%Sn8eAi2x+T2zlDTJM&*a2Y
zY70KKD{{~%z_Yv7XVLoIQTMR0-iNXMm|CJ(j|_l3<>fls%~Ih)@%5Y7MfXwe&p}aP
zom;UM(5Vqg>YDtWi`nQg(RT0U>lzBaICVqHtsq69;@|F{!?o)G^+u4J_^T@phdLx=
zLP{CX`ewRx_^shJlWfUYr9HGwaE-#pseGWI0QSMnlAADM#lu4Tt<NZlW|)mbTkt-Z
zQSlc-&K@hTu3pcMQ@mhdk%`x3Xy^!%gH=?pECYTZ@-)*-`c}=uhhtboz<^12ll-4B
zZ`y!@2OaM!!^;eb*DytZPaM6F=JQjh?~xRB+iRvgU)I?B;S)K*eQy(=PQ8k=n9h9=
z6`EwY5NvV&@3K8?{gpO;g}{d8C8InqoC|T0zq4SaB71?k@VAfr^||lgLDkncHU0YG
z0|@=OP;(@;BVNsOEGayk(n}jrl+Z}#{xShh1!aE}ugdFOxIqGrg`p-avG}B1xSPbl
z`7|<hzvX$jzws8FBxw$-e;yjDbsbT>Zmb_=S7Hn}8w>_aUo#wwtNxH*;f=t=MjPtf
zAMUgAYYZg4wl_Z8&rS&4jy&-5t-47<;gGD=wXB+*gv8v@km^0$E4_hz-&ST1@viSe
z)O0K+mDt$aZ_JH_#l?6;I|i?jDPt6d#~Pdzz*qG<^*Rf@ErYjX8<~WwLHxTS+B0`-
z9(Sj!mzI_mVL?C&z(0V4_*I;lW}Dq0zJ#3LsP}Vc0Cl^b*j`druF`jI6$E-pd?T`Y
zl*>^M@!GtJ*u9HMQlZ}!EHVL3zOOM{l9sqGqS!>YT)%DI^%A3y&-`;;p-If6@~frT
zojeOHs{H-s2{3@|wudYqN&+mkx(ckpdDs_^Is@jVh6CIf7kzMvbut~qQrA%e1PHMY
zyWz=zeZrSHZ$}pO<`G=z`bqC67LgH(p|kDe&u6f*nvuuSjPU%}AV3cLUj_O358u!W
zZaktP!GqM4u)dgG@&hzuSSpu=XC;>Wq=IW;L+2vg${L>mF+jK&ebU9v9^DWQJ&cf7
zU!vh_yeslyuSjl9D)X7R_<(yeM+}`k4g2gnC-g`t_5j=au0(kI{HUyK6-rGnC+sdw
z1n&Pim3t9+?+SMb>gTC+2on|jZloC95+OH&;mm&CVXc0i{`(<3Uk<t6?4;riS<oF#
zl-can=_I>;vn!;-ZemGHgqeD0!G$cxCKZd(ypuIS*Mbb4z2F_)*EB|m!vr?|Q1rPt
zSMe3DuLf7-6#G4gJ8zLr8Z@1!za}I2U~!>o^P4?AWnx`)m<~H7chQ1OP-Kqycz*Gy
zo8@NA%8$maTk;e=)+KZ9U$=N;nMdEX8CNrJe~n51vNBkA);Nw!B%~wu=`sHoY)2e@
ze0@Rl*yb+zbj^C`nD%YeSFB1bW9|Fj8l8X&-PgDGxTNC7!V*0i)lCd$sOmrt%PMo&
z4hRZr3En3PqOb>s))ZxnW~5$)zNkd$?J<yuQE`)bMAIo<!<$NgN)k|P2D`3#r^wK!
z^1dnk<Adex=VxZ^l>}tvxVde(Ku!yr@CBuiPh%&0bLgHd1iyMEbzE?Cg-;DuuxZi&
zcS=yi9zD8w#<p4cM6$jhI460JO3?Jc6gra9*T)BUdy+9jr*1Ai4UK0;Rdh>g?2x~)
z0MS88GIj2yZ^gfNONpmdeb%?n4#w6v{sAQ3zi+RkLxh1Sx)8j@W$(m<9tNop!mO$a
zmsM8v*!aTOXCF#v;UpuFZK3oIQn-W@QAdgE#(S)DV`K1IgA?Q%>!X=nmu)3?^&U9$
z0AK~?O1!UFPhp;d?CkzcC`1wN3)wBN?A1fq^a%>iVt;Q~c;Da}|E^O+j#nT4jN>KY
z3FF_m-J9w|w&trB2sPe6eATCy?mpkowXGQXLzF9b)@AV2RmVL{W7)??GZ$#D_BgNI
zAM1xRr%jwfi-;@i8Zc{upJp9W@|~Jrt=?MA?y%yQaP;?(?rt@+S#aB~4v`a?-~|Pb
z`j)GM3-&rhoW8(CL3#yOWkZ9z!%k{yK<I@Yo}Q5Ch#W{IBLb=TL$@$0@yU4$E40UF
z^wyao!qVckKWwzwhBuHBn!RPvr|o4>cl%33GUJVn0a$+CrTG`^CV6QqChN1|RjSX&
z9!vt;;6!z0rcUPrF%N+(Pvs<1SU|RYSddJE;u_Yo3E|wH`%!z2#~PRz<4bp-C)B&V
zl4Fyv`~U!@H1z&u)5izADW3HG$air#gl9^cB(CSk+$8q&QQJ#dBuUzprM%&V6HvS+
z{%s_rfQaEaR^9732kKQ;+Sx<2R8(1Vx&qexb@7$^&V;MWN|hdc%JI;bI(XKQ@N0RQ
zUquZL1;D|VtE#K>EoeL0>P=^B09b&CQd?8g|FHyN1rKh#y>#pW8OSuVKR#m@JvjKI
zMvB$@@A2_U54UJeRD_kDlNRM9y!HkY+rzCKc}yMi^-&{Z2>~lB=GsvTu7x^BoV}@5
z-v;g=$=DQHc-OEy^;eU_iZ5Q?w}rFUA{@@yXh=Rwq0Xn`D{44XR`QL#Gyg+jxFJIn
z9nOwEJ<LgKK?_G%+@BHa%~w-A=lGS2d26r#Vt@Rm-d^2`NB;`@)TM_n4l<;3K7K=6
zU?F^xWVnXzJYVy?X^lUP;)RfDW#|4Iy8r$e1u#LP2zcAc+1VfSPb~9t_i7nZ0fFuR
zgbOvC+K373*s>m1Op$gU#~P@uqpqX`QWjdFV4P~~vM{WiZ#>+=%N|yVSVsgYBg(=I
z*J}~bvfV5!m56jja}Pm85`p9#yp}(IW}OY`^$hpT-M#NQKe=4l5xk#R=M9ND5i0>|
z0R>Sb!-w&*E>7A|TcvSzCp)VU?+6*;6%_oU9&g81Z1yoz16aWaz&Ail@M31Bq%yl;
z*o#&KpfW%rv_$%JhGu3%Jv~ig+K?<ZjoBkA;LHV)>P}I;Mq_75;x)of5p+@Z{TeCn
zyv5DI?Fd-5$W>2PiUq7K<BHy#qH;+Iv2=ZNYgF~{u}CrTz~uXbe&_TUfZ7g_#q27L
z;{O)$H6d-pdfnjc?6T;9_)!T`tb#r{9{-ZKB~0u~DVfp*bE*cNUjiYmlE@L`j6qSY
zTc!n)0UqeS%@XTb-}Yjy=8JOJgoJO$NVzKM?vOK!I4HHF{!E!^uP7SFl}mhxv^h*o
zQ9tJ956f;qYNv@!0wrBn!oFWg92Hx1_ar5;F8mfNH@}iIwLse>23ZDYOjv27nPC0f
z9X+<YQ#+vZ7cuvlK*W*TjWiDoPoQv$?oo?Y=LUZjZZr!p(8i|dN$qam-soJnzkLz9
zll*DiGUL>{v+r2Ye0E#;$h*1EJ>wOuIqv2LG6AP}QS#8Wo25JWq)klQrANn{A|BT*
z5m{-D<q{#(R8(+8keFUyS^2O(`wO{W7`jFNUFY^og*PF$O7%zs@_A4J+rI%GzSOF*
zW}>C_4j3MZcDn5SM^>GUy%@PJm0!RPGvV&tG~J8vMcgSK3}6Ip|HoDj$YNma1Zb52
z3KCB1v4POLHiSEB;$9n((a{j1K+~g)SYANsnomhBB~$Tr6L}Zg5D(jxRaRGn54ru(
z@j33Dg}Uv)^~3W1bj&J`a|XP*MM)4dsjdBZny>uw{_eucO5euNo%%bbgiR{_DKKDy
zo{gRp{8|DEL9My2xH9(m4DHxeTsqeMwHQ9a<8Q3wIUF7|7zDeU?y9hu;SRcR2r1Y*
z3e7dn2;Hn*tk*M@q_^Hn?X);%KB+(6LZ=z@v*v(7bt#FZ;mNu+^5E9dSqarOo7K}R
zT~?t!6LV%D!Xs-2U1Y1&zPB_EHYApI@^&rRU7>zTjSc>)>gvP-efcs!^xZgM8gaY^
z`TB@Q2pa@l_tkc!L&*nD#?hTQ%zO(fRy?macAn0q&FG!cB2+kr+6j<kXmUkO2)r$9
zY24}KCiD0E!^b38&VaNI#1J<XstyPY?d?Cx`^+!a1uC3*d{1x1FY7c-c_)#$h-Md2
z@X;+coOAuheqqZBU>rLEE1nIQ^8iByzIcjYqoGkX3!9$sCXk`Az<r_w=T+?9L5gpr
zMkf}?!bMB*?%gRaxsBogg7`T4A3R^Br4<=8uxMd<aP7WEXsjY^&kc$vnp52jF4R?f
zoZ5jUUC(_gI=X<_{JgEfyf*j4do5Jcbu?r;?>#x~NM|b`#2g7i4K@zQkHFKzVio&e
z<d;q@!Mppk{LM*{5)^|}Gslsj=1M^FNC;fGq1-iQl$AViYsY02NFX;L>Gah`=q@xz
z=C5q*c`YB!h3j}|XlbP0vGvoZwmSW`tgn++JsFzIh+GE(xo3~ENK((7fI_tS^V7(q
zQ_n`*n`4hMxVW^G{hAH)#H8ja-)ZlI{a=^P72Fk>YNM8~6KTlInpvDY>h|Tv+2FYO
zhDf7dn>*8r8ah11B&ja!pr5iCJY_sbaO-<C_HQOf`8JTNBiO%UT-Qqa{{J%q2wJC4
zW9vgIzt|;bHn_P~H8$ZVw(Y<Tz!r>IB8)kIlHlX#m(X!fli#{S>5D`V>_=@$L@xes
zTnLo=Iy96dYyw^-kvnyxAgLQNkUF2m@evKZeZDQS@B91XzEIP?xUgY?E)mRZG+$^W
z<7@XG$>UFc_+xPHF9gAmDS?dvPizc|-p^sJ()oZo1{QG1YmxDXA2p33fe{$?yZ7(;
z&j`Tc#J*3&;}tzEEk6n5D(5*&oSlW+%m4vg8dI*uyzo;eteodj!s7Dsy>^WkOjjkz
zyq}GGyk_8E=)U#*@Kv03d0rA`R#y1f{7$<xb<nx4>*dRr7E&@C=vs2z;M?l&-{tE`
zQBLoqc(XYYtA;z9a(-<fg<xxsUjhAShE5)aEFBn0p|fPs++~C4@(V?h!ooiRK_Lbf
z#!qBog75OEQP^1FpHON6%zb5XBK$kk$Eh3b56Av*62QHJ)z<DDm~u@tEza!^5qWhZ
z!}w10K}qZL6j-NfnEzz3F?coJkxmFZtn`5K2A4=vOC}uN2*isAx99?9W_&TGe>f9!
zE$4j>@gKTUZ`AssAWSbGadJgV_Ls`OXwq3H)u3+c_wbC$Jb5)FO|vkkZntyz>y7Z@
zd5iu*N<tv-eskd~!`V9sydh4xj~<gi#{6pdx=_)cT@i=e%G@Vf06bbqJ+0drbx`GP
z_|T1sX6#AumJp3UpeqCM01?J01X%1t-g)@YAxp{yz*x}TpBvG+Tgn~=JrjViPxk3n
z?1Jpq{{DrDe!9vBcJ*76aKXh+0N^oJZ<CfPe_I>l>r$qRPFw%&_}>cW`qpY!5VpBF
zd3oD&=jAJRS_Mwesi+(zV9AT<(bT!3j>XH^lJcVp@bljh-B+%V^-;j_0PYTEZf<yV
z4Ga&%N)IpeAx~uI%Du9FB=fNC5^z5lJSe611Xxk%-Bveku;VkGBYkR8mWz_Do>R49
zq8-zmtgQcPRJ3?vNRIMH{q;3`@%@3+(9+@Us7vnQWesn7*lnLicTgjw+y3zZj-NVi
zOy47w+M8Qd!dXTSs9LV?uK32IUp`uSB&2=S|Mkhey)#!6<D<r-SqYZeYRsJ%kJr|z
zmCzhLk<1zOUe5{c`v5w_Ol+=V=PCQj-!q;i`~ma1PQ`;n?#jkzh~#1ZmM-mn(>YM%
zyqSV<UECVF2qH3i>3-$k0Cr=NJVB7IE`@fc1@ZU4u&Xt<0JVt*s6}{qIQG(Tj89Dk
zMZ52V%+9#h>=Zq?CwkiGhgo5kcPudm#}uZL)itkPC3U<w0M9XXb#++lV7mYxVNF|i
z^Sr`B8XcXQr*ja`iaI#o(;yB03oY18^Yfv;ehE;eL|-PRe{}D^IOgwguR0sMP6mL`
zyh3}>YJVIf!1d#~Uv3nqW7*FQ3&$d@xp!fa4Oq_R<TTq$01zGqZv?W#$=BimQ5j7S
zgzj*E8Ik|iRBLarUrg*5+Dwn(mo+sTklEP!<&nI7|9%4xf-hjXo9H)mp}67jELGOS
zhgM%J+_4<zrQSSM8nJLS6ZjNXO*5g`s_xt0Re1Z76PXN+YV2uJe5)G{sIt}HA2?wF
zM=tMQ(Nf;JKdvE4YC@Hx;KHx-B)P3Nt%qyUVuuxlQ*PdBYx?Q7MdrM*b6@;4_;%pM
zh%|{o^#e-42po#M?Ji!kV|c~^$u@GEpHCd3_<hUlfE7A_oc%l@_n3tJk*Tx`8!WH3
zce~E1>Ik4`oK`k=CVcp+Fy1WbO&Z*#d_ys3hg|qBdu~}!HFb1i!@1=$RYONci;~lC
z^JO;P{qyA6GsUaZA6Se`;Y$XzXti5|4@%V%#)xx_i{}PzLtIS9C28vW?LHjlC`QM|
zy3y87EfpC$f!R3sVa)C9ru6y<&HMc(b#`T6Hf9Tp^&E^&%-uG6P)tf}nxZQx{zsm3
z4MtcdDvacnfn~7pSn=s4!L0pnwzm*e_ES2WYo7RnLDRzrac?-8@Yf$qN~K=IH;pWN
zXJ<$ppW>@8E}mNS0T2ePFUKzw&Jy0%pY*o+(&KOz_40pyurIv8$Rqup+QgQiyjV^H
z3mwd$t60kZ#opS)cJqtc5l7Q?S?imOyQyMGDh<RQz!Sc&=pq|C`|T*9@G8v}f5j9g
zZ2G;;k6^Yt#=*t%=&opCuNKLkwS}N>&LsBb0}6hB32zI-n#L}WQS3QPx|Hy%!yRVA
zhwp<r3U{pI_{E_<MoVIsNPj+tGOLQE$Pq3Bx?Nk`vcCiQ#J|3KlT5gjcyq30Q7G%}
z1M}iM7XkJscWn5`6dpVzk2T#P1`@^y3D*4BasXV$d~p8t&*H>}KqvMvupqv?aOin0
zo>()x#2s<_Nb9*CYH-H1j`4c;Z}PN^pX0sRLOK;e_aA2hJB-KtR#{KqA&0lUJ!&gw
zEB+o6FZ^}V%$VS)z{yD+%vpmU98f&`4Y{}m5ikWw#mA2)8Q@%4{_2%Ymi13?y$Np*
z$2&GpddL*j>wG$8@JRe|93@x9ey=kkN#|eoJin#keD~k;h0+Lwzyzl!A|Cb*m4*h=
z<O|z*Ks~it5YOyN(#rYIby7AcIK1d_o{*QPCpZykNibP7<&uD4gREmjg_iboV!?%k
z9sF~mRJr2Hs;^KSmlQ0{yuja9xDF>tXcw~key9YvEpfjg&o+wNPrfqtViiaOPRKgK
zr%w@RsHiLx5`f-ehIV-Qb$A%N)8U>Tm3@cOAFJ+*ZzJ+b_#c3=S50NvDdjn>=I*wk
zR}seqG6YP8@Pp*Nq1|>m`?l307k(@iKU9pbZ047`9IIImYFg+xLrwIX0B;~$0B>)n
z+yb0Rw%QU7LO+S*_SDot+axnqE-oj@)bwy6cnibIEZQ9bi|k>ml0EKyk50%?*Ee4B
zUzGZ~zVq1WJ2RL5BxT&%zDPBEhvWb8^xlD3_V4@nZIqITgls}8du1!B2xTXGB`cIf
zwv;`RP)3rFy~-%7tdKn-vm}Z_MwIv+_w)XKe%Bw*A5ZIc-LG+;$9W9Zt8(WrD)ZNW
zncd>$iI<Tx06dAWVPUjtfBnbHGi=d|dXtalTwA>1k@yZ97oTJ44Fv~er6V&_J&uz?
z6oiPq$>NJ|D~8Ih#9)U(MTUMEuX(^hGI{RgDd~8(p2ueqPt9Zt1Q#34k6k25+a%`H
zhM~x_5yuGTi8MmMbbI3VyyE{Wf(5A>@?j~C7)WS8fab#Q?fpYhp<7w3{?15&NAnH7
zi5B`!%!7616w|syB9TXX>=@FV`+3pGRK0u|-!g@24e@`k8YlS!l--`0(>}Il;u947
z0eg@lr=}~vtJ;ow?H~U~LO^WdTG?yFOyJ1bYB%4~L03OKjC?piLt^6M$C6*hcl>Kf
zk`~>-L1Meyy>0xR5wkHVJxK`!o=4o}8+Vd-<ar(y0$*KzdI^2Z%`uhA?gRL0YLxTd
zs-zmB+ehQWyG~t|tCb6!vwc;l+ZX;LyI$n|zuyxJ0*0LrMGqZ6{<~((@bUMg<{6-y
z9t08K5e^w|MW{}H_B!Kqo6Ma<WM450b6>y1%l>Kjc=$hCkT5qlr*uNvWI|%1t~+Cj
zV*P`RA3oc_gH*T=I;b|G09j(81x<p9=^^Zrag~~%&F>lIpak>nSW)$Lu#hThB4P$D
zzE*BcQ&WI{<L^Wo02OR3d5~qu*o373`!tuGhGn~#;Xw_dMEDs1wMIJ1!GPRQRhmQQ
zc9}ZJayQJOI)R+(8qPjbZg|l=IGUS|;k1vU|EITiQPbchV3zXdj}gL+LfLc4;DTO>
zFQ}?2wvv}2!hQyW)`5%9FB69n_O=a!o+aLhkLXW}Y^#bqb7-W8>;x`gIc9il7boim
zCSfC;%XD~|6s(P0=8q``7=z45xhqPHoY&`$Wr}JBw;pvI3gSJ<ln_DH{AxR9Lwk^I
zm&ZYek)Gb(`;Q+h+V?)Y+@6rC;GOU_&uRGqYFJQU?r%BF-~21LP>oGqloI)S;kM0_
zHlKkT`Hv%vCz`N8zILTusA)r!XGo%v(et9BqR$!)(281?z4%{k5)ivCh+P3E%fq7r
z3Nr7nozpiMD^E~IYyZa~pu_!wTEyBq0~-~MdUFhiOT`Gt-z0ZvXuS<pDa0<-&%Bu+
zyQ<KA@X7I$eC)Q<;kNZh+*EkzV#m@zJj9F}NF%rl`37@f4*~gvI3-6Y+#u@?eIos{
z;^Jcb80<=Zn^_f$O%wa(9z4qvUD<Qpvi4pCSKO0o+SBfy)^hB|*TyfcK3c5sf8)>+
zCH|LJ_BGka1(FjOWCUPhyRvfQCeO}d&)!83>n-xoyU4x<3)0+gBeTQywTI~AS2taE
zaB)<0oee$i?8`{x2jNrkcjLOl^kXOwgRKU>$LRY?4D$yZLOM@&*oud_aTJ|A$@X~U
z_RF+S?JpnFDO8?!BmQY$zI>Ca-l{SF|J~IK8ZbdTQU5NJfz|&efMQ5_;ieBz8RZ<y
z%XA;kq#IZ;yYIe*rCXb4rhR(5-n~)N6f%vB3$tb=R;Q8hG%o+onq_Hz^&ZW8Q{#ck
zZC$+zZZ!1}>t<AQ=jeT(kF3CPf{Eb&xx#%Lo!R`H?g;8$zwr0ZeaksxA5<55I~XbN
z&eIAqM8I12#}D_%?Ar|UBNauZrDE?HJ%r!JB`-Ddsh&3c+22?3g2dmKgKrP4q<-iW
z9>4nW1@34)0|T>dKE-P9Vrq?ymOk^T`b!AofOUx#=Lxlc>T79DV+}9&_9cTT%Os-h
zx)nM7^{ewlZK`}IAeK^~LPbU|!wUqh!$9fl=-2^v;6*dDpDE+#sT_40H#k7B*z8=~
z*u-@Saz5rTHD*{x{_d|@UE1J(^Z|};iHRORSROLn{i15<^zP^>&0_=;_W^y-Mb~{h
zzi>yird04=4WbLe3W8=_IUNu=S5$UU(S`r=rwR<({~W-WgeXM0a2B%N?#nL`#ba!*
z1XHWMug09O{L6&19H!IH*FsySpm~XiOdNW~kb3?Ds>Fc-%;b^PRH!P>M1@XsMfUjd
zM29B+Ox*B^4)<02Nq|matx)YmyJ2&M8r&|g8oy^W2jnKEmOMccxC%qX-EAEmn(10N
zx6w0|jPx3x`n0@(z8^Rr&lu3Gndxc$ix+htmQ+@*U*U*4lW_|);{k`&NY82?ajV;e
z`k(bbP2@{x(UDzqbMyWZd)A~JJb=fzEg^RV%@vYzV1mz-6f0RiFS|d_fyXq%<`3QK
z_0JK)H7oZ|a4y1D4{?ke`v_r{H)>WYVVVM|6+=BrLRVLjuvn08J4u;X^fo8H-)UJ2
zxx2q!dTRz9G}sF3kaB+=Wpn`f3?3vjg5P?hD+OyXfOo1Slizu~=58dnd@XI-*utx<
zfoS0v0%4>vLb759wh&I$0f)W2cLO8DlarT+v{$?icnCrvh44n0j6z@z7~%SPo(-Z=
z5HzT|x@C(8-)k!CNK@Ie3Z7Xyp&PWJ=K0OG-+eM7Xnk`ZuD0y9r5JrC4(f~@E#XVe
zH?b%BDYn<uxA|P0&)OdX(E#Q|N`L3YkCOeqcFJd0X`4k^gJbcd>07%tT;raentJlg
zR=CMxzt|N9geuZS(=*Yq$-Z#?q&!&QIaHE1@JdHl7X|dYOFbKdO)V{$l><yZNEQ4=
zRU_*3cf&7w78lqH{SHR(S)O6#;r^0Wyvnn}hu)A#W^6Dg{I~g`b6MDNxgGFb?f{zH
z?=THW`h;WT_1Jl(RdjwxYX5eFJ|Lr&&RCW#;2Ebu-9caSwviEH<^Y64Ln)RYQzNRT
zJ}pq|%ZY_sNHhSxLvF;@>FKb}C1D_72M;3Vq6>Py^+n4t6)_N^?fbG!>3Acf#q>(8
z$R6C_OKckr`%<!f?(Yyx?a4f^O4=S)9tiHDw(2;$ZYOLT9i$R^+lckZosMYiI%ID*
zT!tSGyVq<wqnT&=lk&@*ajFrg?{K_&A+1eWK!W}{J%s)GO|w+7%i+rD()xw!U2k*0
z6<+yuUAA8~l1(n5ZU63&h9%;Z3T}7-CXud6vzpJZe&E2&Oiu1EtN`GBYn}a@ha*XY
z@0We!2_?EK!3F_=SZLDHTj~Iy1TU37!--v4`S1*D;E8%Zesg8NRXfmaIsDc?p^^JB
zTD9yHwdJI_O|%S6c77G6U*|`W*PveOKeMt6I#nkZ&|)w<$6a;c9|7njT-y{VV4RK7
zF|#8;LZ}z!R<Z5Al#cZDAl(URJWW=+si?q=((9R?n^VuAi)n!gz0-R^u$;l-1yMyz
zOeeb!g`;kQ{IqLd&R~CkeHh}@{-i)HgC|KN%QDW%&J6;L#CB8;@p3SpiEB;(+zTl^
zTz)}Z?QSFZm48FG9TgD)(HP1H5XOP#P=}l<Fn|L*G=Fh7B>u!Km0umf<SM)A^IY92
zX%V|+CIR&~L!1JaVi49OWKt<2EBkSyC<8gqsP|BvD|s$*nl}AdHpQGFDaUYI5S#^Y
zsvwG|;1m<Pf1v*P81uJKr{!|2zCqI1gh-a-(d5PGMIlQ}vbK0)5~*7Ub^(!QQwK$8
z3#3~ZeD08cf9}K$POrbN`AoQ<h&<4Oig9?V8{}kUcMZtjSr=s_WHkkLkp;N7$7<jC
zcSZYSz<T$a0jHar*89&fPtMKB<v+p@1GQnxR7t!VKyCOl{6$W3YReXwBQT&Jhv6$=
z=@%+T;|tB}{2=`O&wQx!=Ay|q?y{d?XEYK2;Q{Tlm&L`@DPrPH1M|!j7iPJ}hc-D!
zFY`Zd`ulpxT4>#8%hY4+B}5Hy@;P_f(0_kn@@_>M@w5|~#~eoPF)6+u11wcRjb=)=
zrIYoz;pF_=O&-=G0p~LRToOlP2q8M$dptd*$M`{J5cA^u&)9=3Dt1bl1TcP_H_jKI
zY8vn5;^Qu^F7Q2rOt1427g%BcJ=><J+p{$u-GBJd5QV7y1;V;dtt!t`2^#{kAqOnp
zQ3n6HU~z&HBzmqrsXZJX7)1zIFTMpdVy3NKQc#zDlqvX;qVGqv?;!?@CQLKy7r_hp
zyHM996;9y_9wO0j362BEN}2AyDy-(&S#?@|EALE1;vEp=p@%R({{9>x0375Y&gxeO
zHeS9fVlx5%ZW-*j%MA*h*j6<wz3S!&P{u&!#?$_rR+BR)pjsz>rLsD7F#AFE5C7R1
zjz6rLrt5X>e<MgoycW;N*2*CjhA4QGb18M78ziHkR#ox*V>BwAr&O-r7k;IDQZ;Z5
znQs2m@fSBY|D;Ob+_fj=U}rxsnv<U6a>_d((2+QlUYbCh<@)+M%yI!K-|+CzWh*bc
z(3L6MRy3Z_GG*$Eo6hXkWo!rNG>}rVdp988e7ElH3Z}jOa@tpCAGhWvvN2=a<fbS=
zC_Q(5cy}IMPYQAt|H48RYbD=d2mDfrq}?@*Rm)RcGHop_A$p>Nf+A8<Ygp0{)C(oX
z1<|s6v{GVsdM%7Sxr>|>=vmn??rbf7w4AjF^;kH2|K*VEVZt+(o}AL}iF=&P^bjJT
zoc^w}lL*+*?%#hZsts@$v?8EX`lp6uBMcVat^tY82SJ;)3cA)pT3t7CZGK4f3Q1(A
z!}iucST_kU^zDtLIaumJAjF*X;s5B3isIz?``G_jvzcc#%63$l{QU8wWBeYR?Ou<;
zw|Gc`8Fcu7fB=xZk~<7QpJ5wwAv>-6d3$x3vxS3#IG~>R8qDI%FC-LA1GdS^hh<Wc
zB;q=K(e(<bFr@7u*ZVuYrSNzyrMmuA`h0wYZeUZ~-$ac_(wM-GXkOvZS;L0+$nVl0
z&|LpbOFwXupI#9LtFYLaeG#V2Le+puEb^fE8KFd_wIOTFclR&4HVBx=92`H_Up|$W
zA+4P|2A&y+3qUB(jU1&9hl17z*5zouAjm+m2~YqRyK*`*dA5)P`6%;VM2Q_8_vVwq
zPm?kdYaZR?F@a-&%|h?}O1C9}WcpyQBW}13tteGc*Uy&GrGIng3^7RtKJN5I`Rre9
zok2WdQwy8oKas)I-1Lkilb!&sVoVDZPnNp!yJo6wKO(u0Ue0;P&YisrSC}u^8=Nex
z4Gs+3mlo1;@$(v7({{#ph+OI}Xs8u8d|^kM?FaDozj-xI0UkI2Vo(Iu5?H4wQ6yTS
zQRRyZvm$XS4r;qkPr0K?oCI2>XRq>bdiI=^1-J%Z<_YN7_4Oev1}M-H#o`egmx*B-
z!Woh~zKW7meiBpplaWpHw{y~>cBx&sZvNZ1s-<QYQ>l%NyN74_wmrJS<>_u$@AMBC
zm8Zzdn)2M;mSj<`%-yIyaf&Z)Z=N6R^{P!^BFOAuX>TL0J@}o%c3o9cAL?<CBF<g7
z;D0rFYK((+nkH}WKtb^^AUNVUv{a1;9z~$>yqQ6RQt320dHyMB@in%s1>bqO45A<(
z4oUX65dTtj8l0e>_i2imorRB23GTbA{3&y_>kG!r>zSarW9$Z=8OSf_a}i+3-5Pm+
z;=BaJIQxNAh*+xbSyAuE6f9;>NcYZqbDKvYH~9DO-!YMq@*Y1^-dG@U2%f@vO*^uU
zToY5l?E>MP$f@_$c_f)`kcYblSruCR&)&SVExS}Oh#n@`5~Mp&d0HFp4PIGgGDv-T
z-G@B})$!@v3wCzT;XlqC1z`bxy8we!T&q<H+8CGTMUvhdLM|m}z)!2F;J@HF0rKiS
zfb7m<-**~(y4u>bw?s<ybu%nyX))(T7R^K9&$mM+Y_!G3C!#RmlHS<cdwxjKK`8cB
z`m81a6BfKb*vpIH9YSdK@i5}!G0KKQ1<t~7LOqfsv_BZ(fY-}Wu-NPnArk9*iB0i#
z13u9L4kktCp<g1KDSpOkI5lPMqEOMLOMQ?l-79<O@hb-FAi@*lkeId488w8(`PFv?
zDrabo`tR-fM1Ul(_4E4Xld0vPpub3^_MHr*XpUwB{01S%?DTZ}qetJkH-S=NkApmg
z(h?QAA@|#_6ru`++hbo;O;UqB{OcV@Sm779RC#Uc`LfhrK^&9EE*3uPJ$BROi?F-`
zHAmsW>iQYy`VqOMPMUqcO6Js3_?y<8^rRXb$QtTD)kCd}v>3bq3$aHGd^EY{gsoTm
z%-Nc<s5BzvipWR;`r^@g6QCw~&|DpE8>w<@KLJ+_fRq{M%=t%U8Nx>_v7zQ)=Nm^X
zFXC9fbh+4&i*?=T*YEnP%YV!#me>id1$D&HFrKY<aH@d0Dm^{SX)yYPMRt<`7*#PX
zZk>EP;mwPelAV3{rGN3r4-^%pR;Gj1A~-^YR!`J1$F;5i^~a85vHdhK5Ok#B`1`lx
z^7$J~avndyBdD%_FyDJ-&~I#fYuD`*<#a;#N3sxWEwZ@KVv&P;;z(AGPwN~#Tg>O7
zER=ZRvHYWdMPtrNa4kUB3M1IrWdQ9GV)o{6Ax7_xEr@$cEr={Yi(f-C`8x8sWRp2a
zG4ps~C~zz*H5<H&okgR!8#W+L@0nYLt?tik5ap2<%uoNI?W;gQPaQUyuaD2xt}YCS
zf({7?2w;eU0VNz?>N;tcE-YSM^JXx7Ju5nYk0ikBt~4uki6O>ie;^7h%|qqb)ZF}$
z=uPL2>hhP;gZ636%K+hnzUiYZtyGKSX-`U|di#Z7OT>H;bFpm^=Z1?YT??`0H*eg)
zw}d9v{pL;N`N5RtyZ#wE(+d}3)cb@P-?V0C9;<m$NEFZWEFw4rae*PbF4?!(mSL{W
ztbsXI>%ra~GXl$&2XiZ81HSOFT-)z8_ja5pW5dxeXB4@k;ai!4@4JhEEmNQu?IFL7
z1~(;z)!}CoH<6}G;>(Ui7~VTo`H1kFnVRYw9)^e#@0q_RWN`De^EfLjV*s)94A~$u
z=tggC-1^SgZhdUALln_jiof0+!kl+J-DfP_XWje6yR#9@QgWVfN(%I6V{)pL46p_`
zXH{aDsq;vK4=n<`l>i{={5*B#%9S%`cD_C;IS7+<tCArnDP6uEC_i>jw(1ArU-)=g
zS~n_aBN#<aKA;MQbD6zx8$qTA&?Bjt<4Do~Y5gsYc_E9F6ZMIAEg8qUGqD$ZiYd~@
zL%fT~cN$$9|HlPXrp#$rEQ#d3oRTap8ys&wH!WOSXj#wM_n}iI^f){Y;-j`%1Bb(L
ztm625V<U!?plXLcnFIF^nF^nDtp9yDAn@iB_0=!`=L=vbq}JBIHFj&|K$yw{WR4nP
zcK|O-`H+1H?0n+m>-&$wyTtj?9Bo;f>!bi=?AW^|6GWmA@mZgO#0)O;s<oluRq+IY
z&WwmZ5vC#j;4x?9GSY=L!cRsy(Wu0-YVkGWDd2e?9={v;tNk3&g0z2b^_*vhjs%Sf
zksL17J@r)E^y9ma9P*R1K0h8Xov&jg00jkIufpB^a=hi4O_7oNj=U_pSa@-n!Y`0P
zGT|_il29~(=*;0cNrJx}XeJ!1!10j0>oh^nh!dYgAW3>tds9J#i>^w45NmjS-80yd
zKUq#dfQsym*q=(BHhEv>5K4>xO>~r~QL12B1IvOwU*eI*m(W?Uhg-Ciq1&v|6KZRG
zud89q0u8a%4kr9HqDfsdx(=0w0)um_0FSX@0Hy-Kh1B+Q_6h2cpxhU1)Gbiop?25e
z=cz)FxAs{4uoE)VkBubKXYen6Uf!4wcxNTS42G3qK^|t&2w;QSIbEyRkzK*-#<Lq7
zaI||&()s-Zzgy5d%GZT^DLUUc1l3X8Kh%}{QU4{O{_a&W^yo_sG)g}1{nwVA8mV)5
zyqDx27Cgk@7&%Nv1(0G$-ny=69MPm~d8&Ne*{;<Sc3HNzd;v&uO_J~4{|U|_>N|+@
zQJPaaZ7V~cCRPoQsnWD+fP(S(gpV64HM|d}xgOF<QHZ1R`W73{*ir3TYTjE00*dS*
z>S=42$5R;JVc_Bou)_YLJi9OtkBU&@9A1Xmg|Ndbd(UUk?yOBEfnO1V155TDf6u(t
z=xiPkwDGR1s}2O7=iDO}BIs!mc&gPRVDtk-Si;ZOzvNdVrqlBl2ees_2K0<h<U|-<
zs@;FPw|N}db+T#cQo+B?cC*u9KvD5%UCPZ>ra=UvP_7FsFd76gg-!0}=rV1sH+}l~
z!GAl&fBq%^Q4@+2F@|GP(nahMIVp*KpwL;Iv8c^3<if1whI?nnxc%bSB~MH@{Jv!-
zj*tE<9(LWnzoke{P2ndUb#|NVH5npDhEzK{|6jAl>VM*nvL)^WI9y<o1F9i(=Nq=V
zUAv`XAMvR^i|V<*hr(m1vX?jU%{%(p!ggX`UB2PzcDSvrjsH+G!`2(JyZBTf;bU=A
zha5uNAt@RE*-?N|xAaWwM<5hnTyh;c1WPsy)iL@x7T<Pv52GL4U1D4s3lD$Fk#=ba
z+EDExZ4l{~@OyyIfoNQD1OUCI@i2>iwo95-`ckw%+X-#$9teoGf!(#)h!HTXJJ*dW
z27I2&mov?ZelISns;>L5b&7L_JGxADIaz-bFiqMMuJ<Nf^@R5An$uAwDj8wT4AxP+
zqG8SB_h(-=GH5;(Z63E`JpC+;Th*mE^W3F`%X{P&LW0^$1wxtKro3l<@16meWP5YW
z?dt?P&F5;K35h_dC>v6H?lA}xaxP>N<@LO`+O=qA4&Mts9z|7LKEVb%`v#?e%*<&N
zJebM>H)~ypf93w!y!L60`-@ujoT8$xuC9x#5*RlL2=EL_T~GPak`4Jiy!APB;~P+=
z5hsLZg<AiPvQoqH@s2<=k541kOy=&hS?RK;Gw3+`Yw4JGn+Y(eU%dDM<4ly?ockW4
z2%4KSul59!)m54mzk&mW0Ko`EpZ5p)_sEn_)7oq5I89Z&C@sC;H52judzQ0{w3S1^
zaFD3mK4}5MIxo4W_9NbOt)U|GI?z|6Cc@donai5<cn$qY>q2g~Olc-b>?S0(^Lp>x
z+xiftp3Zojj~S0u?S}90&=3^0z-=I!asTmAABy!A?E@h;7M_|9UFaH&skDQ?ly3_1
zT{gzpbO-4hcyo&ZNQV^+s5fCM+@}=FQ%}7lKjl5CB+l%kN>E&E8RO9y3B<>6|2aC`
z)l~$r3t+Xu_An@JNTK62N`<o(UmR_q9sW4-Ii)HJ4z9eADI`c&kP-A9#4jzv_v^{(
zPcK<Vj>a}}<zqGn(iab=<g>*5{(k3+4|rAg&jsb|FzQT|+!gfNy5Ecb;_dvwR9Sa;
z4A4>D%~b?UtqGe^_z`dI)ctd)o=w)IQQ=M3@q4<Im=Z&wM~dyQ<nhylNbBOjBo(<5
zOp*={{!H5?!3&VLLQO!9S<M>We_>HkM4S$Tb!ra9>K`e;Cikw)@1mv%t9mE6BLK$C
zTGKH$5a$pd&j`+NMyzUJ&wy3%<h}|;iKVZvZ{zq(jP-@pUhUt5n^EJ!1I0XFKaQDs
zA6H<LHsY2^6A~7_C{sT!Q8fPq>{mcXdOwtR<LE=Z{13s=+YA)raAHUB;YmelHlYU+
z;SmvCX-XVWog<k6x`8u@EmpiGwl3!*!$9^bpsS&ea+CS?n18z2?tpPvGW}Vd8=2+*
zSa#(C5=x#NruG?Jf7+9AsF}jztpU&U0ahIO&~tijb)yf&kD1?VK;pVKe~E%31YGHR
z^^5PV)+;6h+68t#Zi&f*nGP~xbZA-(6pVGgl%bt~hOe|#hjU-$t5*&w#2NjfOF$D*
zs}7nX<S#J-Zv@pY(2hU1Gnm_C6#hr^<eFng>ZxZj5K#QrK{=m4PrVU|7H(!?frFVD
zktQ12dPuy`Uy}s_Nf(9-mw4xji-#?%ohr|OUDf>Sq+_1{-TfaE{>AI$ARibu8F+5(
zKjOLT1UAs%pcJADYdo!w(R^Cq=Hs)4HzLZ$3ls{e=|w>+*{Z^gul85Qg__S;e=y&r
zc_%RNB;0`JPC+_ZfRT-&;#QELYx&8;EdA$bQ+Jlon+SQp5dcF6g6bs!@W$ap5$~^_
zu7${!fAG1ZKP@9ChgK|(k8W>PU~;mtjSY`xAC>?l)X%s{rwG>TuPtiTs9cW0ptt&|
zk{79PdIB}wL7hD(wCR`5f4ar}0l~6T&ZC~PI;2m6ByV<*7k%3fB6#FK3T+B;1?!bp
zJ%MPpiKM;%(06Q{SXHb8wJ(QGYkxU=$&@NmPm$K%e2nnKh?IbFZTmFzW%>-oz|=JR
zY)%}=Pq=uh_o>q>iMWBdtZzc5uTn4x>k@g-LV3!x!>v76TW5!2TAka>`GU3){IEbj
z;Ghx~9{%yxZaHB|sh2JjeyB#Vx<L+*gI&Vzgr2@Ylar`>i9!q>9-D8yndRkCyL)ZK
zPbw?(hhrb&V#zhV`(4lr))07e(9E{Je_zf1!L_ia<{vJ2qWR;d()fm`$bZkKF!s<S
z4k1`%g0z#60J^+j{JF5tuT*)s?N<ttO~<=$s!9qBw+z~UT|TaSr(6H-*49gm<Y4NC
zu<_+vOmiV-sV7Ki%3L>v5S)O<yYBB#xxKr?6N!{gloMbmxOxb%Qg^LAv2Rp-^R;i6
zCOwWad(6n%69kiyh3TAgV~|~oe#LX2I!VA&5szJT*RLH;|BmAN5^nZA!iiv6J$z{A
z5Rhi;7(ATG_;!H0b))jua+Y#B47Qfn)@m`p#Fn&6`uY7%x`Ksm=%`LgID&S60yCDg
zdAE;ncERHMlY|dZ#Wpqv-r)E@WK10py!*ldNpl#7A~ppPQhB6fp7Lgh9LJuBih8M^
zcLi@|y~xS}K_ip(2+YJ0aWAbjfmCb!1=rI9!XN5}clO?#F){X%TBx7CK7G9^DhedK
zY4k9sl$GIvfH;ek)YK~-Nz<?~88rd}iCK{j9MY*JRV$7hh3B+^1zQ*H7xv4OMSh9G
z#4q;VwL^z8Fn&a(@Y-X6)b-jm5W!%RbD8Hss|{++FMl&YqY$b9)}W)il<BG20$uG^
zG@G1_*zmL3buW_)s-ZC+pIQz}wMEnL`$x6tC9#|so5hzrt5Hapzq;`a>Wy!ApROnq
zp77_oUFm{BXY4Na`(wQE=h75?A!J6fGe{9zAm4#&ecvID91&oE17X#Gwa;Ds)Q<~_
zK3rsBD)$o-zJCASW)mQ~StA0g{)%`o&SPEMeLsl&Ol_tYI`FqpnL8*a=fo+KkBBV&
zp9vr|M}O8$H5V8yQ<Mf%PvFyI08CDLQr#i$=&Bw_D-03(=H|k&s^p}Bu#YKt-hK4R
zj>$iV2(CA7piPBT8<A5gaeejmlW>`r@!yjFW_$Ijsg~9v=YF=A@&AtHow>RDMrE<M
z<MmCyorD*TA22KKXlf#^#I*}U$Fp0#uixDLb(1`)`5xD)7hZL{&?i7O3$`=}zg_L^
zkep+;;r#r)w3N>O{pZ+geCyBnHGafA3hEvwT|IY)*K$ma=L<d2Z4aVMzDssT2RvZ@
zSyZ$zKaU)^=e1>e9vm3Jpd_dT=Nw*@wY7fG-(zC5{q-sbsvY9fp#J8QD{@uv;M)d8
z5zAOjpMbjb>A7E}WIFVxwI2lg&I|xt1a@2-7tom$O+$Dmbn^TW7+G$sUCq8YLcvZH
zV=0WiA*~a35J(Vtb=;QbZHN-5<Z%z2<Cyjk18^iIeRI_Jl|9hO8Le<hQ%-*<O2|9>
zJS*J!{JO6w16yO-@9#v23Vj(`x~DYhymW3{32#+td=*3-_q~!$f5BXn_!&92D0GE2
zNP)JIEt)Ox-CpZ*5b+TH$s^JEa}D2$%LGt?_pPlYv+f*LNk&e;H$NF}9oworR^vVg
zo%|)`^BWZ{i(}-^l>$a}1mt%SP6bnGw<f&!B|(7r!fCu3P~6<F$r(zwLpF(=e5cBR
zP2%n1@Q*uUjmvFuL4}|G<IoU{5kT9o<+|3v`0Mzq*e$h>ijOWPmzxM>+j}(x?@bhv
z47SEC)ZEn6@mS$6q^r7F8W_GG*hP+u5ke6>C=76j|8wIpKBSoDVqu|WW_G?0vpXnu
zk4{r3Wexl`ZHztDcLOjT3UnFP^QNXi9kGlGa&owM50XHkn0KRK>!#Uu5K?}jLHt+G
zVVor;!#)|kUtQEr@?7qd?Cj&93Zkd8V>{V!5JQKvkxZgEWMB*qUm2mqky>AGtDlDy
z4p81LD7dPohG@;M&d#sP8%o=o%h;$Sp3+awQgolV!K_1h^!JaEM8y1p#W*@@0t_N5
z0*ebny8!yZ-g^d@Q7<x4Fg1*vyLnTJKxS%l!1Al}eA0l*!gm|#^3)wh-DWUIb;0$a
zuOA;0wDx9LpmKQ1Obn<WJ`E5+_#&ru9ex^(_d`G{@t@5S?9KoZ9X<RgFz^jzo$#~U
z>{yU~sZpkEeg4Rr2}uB=ct|;K_u6#ugDzEAXiy-587IPohE^HR{IR>X@XwQE^&Gi}
zeeVrHhTSsg^mx9T;2Zr1N~&{H#Giu3eooIl+J_rzY&MxmOX!7!gs@uqdV~rDN>ESY
z-i>QM2|OQDX#xwM^|`v{kiif8YlR+G?xoF<M9()?c`XBwvj*RxsXhtQix(Lg8PE2;
zsH&3L9S$<#v!M)G3{_QV1);$Bd$<v`5%F0}utr_r>@36(0ojwjJFN_B^wH2t_x`)X
z_DSdg8;$z^9MKX#Ejd9_iyUy&NlK<~43!M`NOU%RS31$RxVk#Pe9ze2+#fI%22q=v
zKAAf9mX<w`b&-(mthRlsKW8`Ah$ITf4}~R{)^C}`>3kwMb-2#Dk^9{RXC5|Lu=YZN
zjB8^ktqSLtyBE3qvHHKv%*Yv9O#e+vy+l8#+1%j?&x|uFDujna6vtWuv$T&na{qL+
zyyKU8?MQGfw$lmDd*?E7nE(}2sZ}Sl^3bJ;%qwj2X1Qm!E09Ey`u2sxTJ-ETliix~
zw|<e=XOks)))5w^hr|v%I$fD&CTUS0fUU(|ZMH4Vl1ARpK`rTCc_7C3gO=$YlyH^}
z!7o=%Nbr@r&l!{$%D<(UJKV6cG1^BdI&+wZ_i)TXaXyG4?$%1|L=3<-r96Ar#6%q~
z1WdRy=eKk=#S3%%<A2YkeS#4svRFS~TO8Jk^roO@;Ai~w*4IfU2n`BqAYy0|^Dhf@
zWFYFn+?zWV<03RfZqg~Z-Sp2ToLh=`%8v#c9z<0pW(XvJ$6+{kr-;s}%J?vQp9`w2
zASLQ-^!C@$G5?hXtd4k|96b!K|L7bHxw@GIPz=|+5QVw_lgyXaavIc)<9WMw?XqkA
zdzT@Xw%9Nq5_kLcW<CG7V!zKP;UBk-jTd#J#CPY;n^##snb0S&z6EU<-aD;@^)TbF
zDJ;#%um+Z5WAkOa#v57Sum!^05AXOahi~Id-a(&(OlIuOB+ZNE$~uYiZ1;=;=B_Oo
z2lv#XqSY5HY~q%!NjFx{oN4v;PStQcq^F5MT|95nd$iAl_u|AKl>a4kPW!<L&SIe6
zB_*`G$Pu-LIGM;+ewMle$%+m>x-|!4ctf;#gCS}KYtfBl8I8bz5*aCJXPQ!)ww8!5
z<4s@6shL}?=a^q_zfDh`EH3f1nYy#UGYPXV5!?4nbiA1EptxX%r}IUF*Izy3UVB6I
zsrYY27XZ%e?8DU5f2AeO|I1q5az@*9K-R=(dpBtU++u7&It8x;`x)93&{?9w!?_dK
zV2&r1T;ni6OppS|B$W&g-oGo~mI1!zj_B&WJa!P&X5zC|_Y}7zO3iQI)V_1)9+P?*
z9n5y;L61Svm*uy*dRyWHOQ?{+f>zug*6iF|_-K(qY9;^qo3@Nf<~;;NA9kF@NkIhE
zViOO8PKK@@C5=5I8_>`g%`E>pbE+V_rKJU8FTd265s!8YioT%egtIQWMAZH8aAbeM
zx3kEw<Y}f#=GTj0Zj*?-czsjS%9pKrE^5k>)6(tcSDSl$<3&5|2-5D~AAARq75<Em
zrLR3bW6x>zC&%E}iOTOZ&lul!u(vQY{JIr?(*L-|d{E&Y5{u4#f^ODjA|4`HSwy-j
z26dw))@N^c#eW|No1B`$zs<UO_0};`8IZ4N!&Ls&6nh)QIfSP=xmq2$U5ANNBM8eF
z|7Bm6LTD=0HZ?{<aLQbRv}k2zB~f$7Uyd7^|HyFpq$&A7ZhsSddeOsC+RipK=U-2e
z_?i4B9H4O3P_vN<Wa<M=@ak2;jeYvl6#B0ZVF%GY)$DumCu_&mdj`Byy7ZU9@`59*
zl@+j-W#G*)yMQZ0R9kp%-9W)r9G&Q;ZCn;hCAO37$5djC&W)dsTH<G3S;ZcLrJv7B
zndgt`j)>*-oJ`k3ECGHv!n!>*sY3FL==mM&6lwFgcn_ofWkhHI=1ueSqdB^Vts0QC
zW?JX>4<w6zml^CKu*k7{Y~UYiZrMpiMgHI3`TXe<3Fi@-83T*qqR{g#wT@8*q-2#J
zxw#Lh#FWV3>wr;jdf4n#dgkh-y`SCcZOZ`XfvVNYiG>BG37+q?Par+RdV$zJcXAL;
zJFvqQhI$EzC2dZoZ{2M-xrZ#D)I=W}5CXse0A%&9^v%?gjo2eBB!DFR^xxGFC3l#i
z_khKdbJNAYLJi$NT}$7Ji((s39U<_?Km50!M@;X7vi1aLD}-@McHI!dyz<}P!iJ3E
zP3f9}mckJo7@O=3&a;^3Mn*-!gzaUanP6;E5~YQW@Q;EYg56EKMGx`|3KG3EAx{F(
zgT_HsJ{q+e&=PR+m`i(ZJ&zjz!i5K^K|Wwc<x+}V?I$DlCd9{c1Pmldq)@i%={*C8
zHa(pqWh<C--!9XgYyW``-K2N1n9#(kHrjIK?K)L^YG%!~R5_DL+y36W`kANaqcPE=
z;!reEh=TFmcccYEl<Zd8eEZX)+m4W^b*K62JF_dfpl%eH)qHGi&DoF`zt?kbmfX8s
z>l;bH74MX=Mmuw#e<bWSR@1bNml<7<KnW)-qq3r;Q@39UXd2CTpC`!Iz3FB6qC`E`
zXih_@A7}Md02<IwdWUzwyy`kCjp<~UTJ4KpQR9=l{-FK3cSpeIb19V+LKGBAjw^n&
zUsknxi$w?I3va(WjGG>*3E+h)@bK^;47IvCrDY22SL8eXdYpM)-TZJ;mKyiihp88K
zVY{hBT$l_t!+}eQQj6fa@|SUvdX4fyIbDRCTiLX7c7UIsAK}AAIXSSFSXx}PJ0kXX
zqATxi?h8ML|0EIxE_zV^oatLx@nESjKl;&lGI{A?1<i*db1>4L8wxm^t!a_zJ82zL
z^Me*T%f8B_b80CxEQbE~{{O&{tgPUnIlCkwetyo~7liNFMdnZuf#<6-c~N%0Z=YR%
z;=CM?JhSf>y*}-`MCB<N7A7X#gLW%i4w4I%_GnLnUT5U(w<>c0fq69JEX^a01lUO3
zzYp#EkNJ6Qu|y;dU%o99v=q%!>C`wgnSD(4edo^)MH7JjkRH8B*=K7(m?BtvdY8ae
zOH>pNhw}UHmYH+&k$KQ*>yaq1-MDrqXh*XX`DtzZk(~%Iv&Olgql1A8P-=8!m@^8Q
z*KW28dRcLF^zsu1Qv*x_EgN<MEC70W_s$&{&)MhibCUAzesYpIJQna1=qVDKaLe#V
zz6nt`@S|d)m(sD9lBE9qdnW{x1?}96%wL;nM4e%`amPM4poaDqxQ(7(<0serf&#qX
zI+uxB5Pl|3u@qThTxw?rxb{){CAobzmRsO3Vi2@?LnM>qkJpKdfCbk#c8W!Of0~g2
z4~fF>MMi}fdG2O)jt&Vqd;NOpAF10Zmsg*9_(|<SRR_YaMcMEdKa}<W)r#u2+MbG7
z6BPXze+Y8MPua>3rq;*J&x3$bWLy#LB)O$_Yd2~g;uGvoMjH6!Vv!j}KY&>v2^M~_
z&puO7`@K=jXq`Vt{ffn+wDgVrOT(dEI|&STEnKiOvNl8K@Bad>_?*><{xq9{*9#o&
z+2YYc4*6<Zg~$K6H}{&m3h0%C$^#gz<{P)?Q8yMf)BEL4BV6(9o+gCZagr+r7At4u
zy>xuwFNveId|Fw>di`4&!{0B7WC1}zr$EJOViI89eY5X%j7HP(x}c|v1BO1byHaKf
zj_g>!!6;T*M$8Zdt@8OFkGa8)ckgCTo>@)%E%K9XR86IZj_j54P`(vu$X-G?!!m(O
zm(Z1Vzp(HpTI67=o&<rxop2oo%OX?M#ObBS>=ZQthw#T_;=R6g8S9aXS%M#d3PM6Z
z2UH$|eGiG(6*>tG&fuIF#Xs)=$hS||CM|rbJ8fKT-T`~xG|-fPzZJ!)O%nODpvK*h
zMnL8c+7S$kqV9aVc;@mxXuYr;{M#QgGh1&Hc%tPC2<ME{EhqyTN1L6C)Z7*ryYCr)
zo$LL4sm7Ex`7Vz5#|qwb+5-Sj5WR#vcrh87;W74>x`0QP7~HZ%F20%hdrjyZF-qX?
z?*;J#@dwTJ{&(M$It(1u;r^<WSby1iTx4Z-sGB|^@|zr&E~oUmsj=}0emo3xpRXJx
zF{$wyz+XN#rXVVMZIod?Da@=(zfgrPUn$T!9W4`#Zx8Je&tc4mfHGDUa}G7@UyF;~
zi++%|DtWDhX4zl7coEVJ0?IF<&nd74xE=wuL@@f%=7cYPBv3=cnhs}1%M`4hQCf-#
z3PwE?9CEse{tYXLij#|r=zh~RBPS=<Zc_@MN0ME?-X4DAT5{T5&{?6mQyl{@(^{Wf
zczJRpTPESuUB2Fmoe%pNm)B5zw*o4Xav9J67<=z@#QUhw+qn)L`>~TG*=v!j8*rPk
zX4!k_kYe^0Y}s@5reW2GBSDA$=6k!*wpmxvXL6fkqPB<V-1eMLQ&h0;<q=ABwCXJl
ziGo6#_<Y(H_EDUG$r9pFKo7tgG18=RxeX@(!kDau=LG@gu#ijqg?AJ=#@`0t;1=d8
zRoB9$bv*zrIl8$e=^=%(Fm7Rj)E<_@Xi?!mgK^NiHN(4ui;EwQgg=*!rFW@JCQk|;
zeDjl!Bw)@hZEsr0YMkg7xluIKL{el5;k34j>+iR|0vs8q^DE9p&Rrwy10w`=h?(K$
z)Lp*Jb`mG)yI#Bu(cJ=ivknnT2~V~^fatHLuC8mp1i`ji93PTZue5gIb81i%QeWt0
z+^M3~*sG;;cSTv+ac<vZQUc0~f(ct=PFs`I1m5pzy2eha|J7`C{NdN(bzfEn_gL=s
zr?Le_x}bys0EHDFDcQ;#)gFKwlQ&7(*x4V0jDb_p=+dPccg14HUwpr+)aV{Z<*XU7
z3B9M%UXO&I@y2Ubi)|_wBhgMEM1zCnPo7NLNH^DH3?J1+ZwC{~f)SP^f?E01%lWI5
zB`mL?8yv_0Ul}$kpNkj!=FcoJ2DUfTa7<mx$~*IaTmU~=c10g1Kz#J{{Z6VogBcs7
z>zT&SVfU<Is$9(fo;@<H&|*Y}wRVTn#o1r?9>m;XC0LXg;ts`H_=(HVE@_Ry>VdG6
zMyz>sS*&M@E;y(s8G?UH)sL|YmG4vA7r!%>99TAdDs0$zn{LC16!Q-p4<zvZ!hHe=
zWAz9xA0ORWZS;qFF1Z8@Tu`IhCqejMjsEt#bk7h^w9v2D{wuRRSV}z-1=(cB<=)Y&
zwid;J5Ev1Wtl(XKR796M_I;X?d5)eCdstHj^BKp(0TF^{RvKrc-W@wewwQJSH#Rvt
zg`6#?5DTh8B-w&;2C4!s*!K2gxcH~v>wbu`v%h-N&FwY1nH*Q2eho6J6JA`O9|v>=
zy(atY_T;BmwcAXz-chz*Q+3XmSfO&wh9?7+D2Gs&Lw@&2=Ogi($FtoIvcP|&{Sc6o
zaSN3{$S;adJeu<SwrXtL7cMp-uj6|r<3EtumA*dYPD(0o>6mr-gb+oB@6yx`9zH$?
z>G~HxSGE#<a2%0}PcdJbQSg~88upT8h|Lk{J>~!M+l^}~awLxp^bmkvemb}u?*$LG
zIrvlwIhwcg547#<nE>=GCoQc3C>LPZNaxYzb`gKiQ*Q@<v{a^1lPM~)<X(1V(bf1C
zlA5>=`6OFLP@Ni@nfW2FZ|`AyE2G?=uNSSfnFjaQ1zY^s&AMgMw}bz_#orwSpzPkC
zuGa1Yqkj7Op0w7q0lP#Nu7%4+do08-M%YXS$c6|~0e=2U|Lxj8e@5D5_07z-u%y8M
zQ}ZoxP|o-{)kpb$EaF}NFR+oFKE6<s>^vsWw|#nRtvG%V!w5uLT{y<sU0(T)o}V%B
z>2oOtp{?JGG!Ls_OH%`X<3jn{YYb5(TZCuV1*AhGv(Y3k0g>@4gi<Fo)Dw1|P(i14
zdAPcw&3ARRt9pJz{2kxXpK1|oR?tv_lldn@_567Qe)=uv+2@*(@m&pn7x1$|QXX_I
zK(v}!<11%_aVt;&UOF`n8lP3gXn&Hfwf|s?&092pv3i5z4nXPR>A8;P#XiYQl)>LO
z=n<J{^<m(y@h&Ac^!QbK`)^>iVny8l<;q8Q{4?kM`i2H;#4<o74UjD3OceL9I!YOy
z9m$(#fN$(4BOxSZq2|Ild?frknz28QN55U5j0706-}LN(?<1)|Ylt#D%^vgU({HIw
z48!vB_WeD?M**_g!pE2D@h6c`K@4EZ)6Mv;ez)MD-#R%#+Udu^7FiRGc`^c^1Pm8c
z3g>5gGSC4<goW9U*JZvO2KLa{$iqh_Cu}b@&~Ld#!f&s!tG<kxpfwSD@3rTJzdCz_
zxnvE4LT`($()?c!zY850aVmQA=AeUjuUA{%@H3~YSC`~ZJ(sz@<7YNmJ@mSIJ##9S
z<LT2;#@^}#&UhBHM~S6$*QHr?T3v^Q*Col@X0m%F&W|>X))0zq=&9V3Q!YE~B0yMs
z^%2f*bd&u(Ju(d8OUBoP59-M9h~1HI_MW?TWG60nqB<QOK|q`_Tp_U11Wkxlz7L#Z
z)!1YwypmR~xU|L;SjnEO9tq~LEv9L}3x0V~*8gaU^2qMI{mG)t^&c(6zeoqQsijdJ
z{2`gleUunyb@&7c(<HWI=ImBO=UrrHuirc5wu3-y!2f)}0LWr}rsU;I^m6>#mOfl)
zmtmrL>Xr5KS>PjtALQ#-xl;0DAsAu)$mx7CA%5Gd-(@86!*Ry)r_m0IJbiy|JX>@2
zR|wFf238WaQdH5Ny&jBJIt$=jldakL?P!fOTOiA|p?{3PMyvRd5{W?J6PLU64j((_
z2z&!9M5;Y|)Ya5(;Yi$Ap25LM>@~}01aAKL7~f%Q9&!45ZNlJ?z^Ep9Vmq|k21@5|
zhD93)QqS4!kS{8FSHDOpa?paxg%>M<@CrO~rHdxUxY2l~Pv!=s9`w4|7#%TmlNuB}
z7<uQL2N}Mg41fDHR@Fb;O}iBD9cRC-jm<p*MY@)1_$Pn`LW%9u*YWYwQd08iPG;I0
z!J4V<C}M*zLv0ROYH|mJVvZlqt5=e?y5jfZ&b;v0Zm04MFx!tD`SyFlpJK7$Mx?fS
zl$d0FR*c2-kTL%O^i+1JqCCw``TGQ{9iEz@Oy@0Czn4UF+*^=MHPG+uF{d=@{k}Hx
zO`nW0Lv(@6sr5cDx@Wr|RZ1aUGw@Eg#zb-M0{0Obaf&x%)O0e=O3h!z-yOZ(O_xSp
z|9V0~j|S<jKnLhg$C4@z7KDa8;x5|-xWivv&FX(eK2S}Ldu>Bl=WxCT5752(z(`zM
zW!6y{Eq#6Hh;W%1%Qhj*l?ZbD?CA@7`CRr#O?aupVinNvIt<Go&?mWflr&Rcu(SFZ
zr5!Wvs<N4Z<}(@iy1+k08Y8)1<|R|yUa~=_KUwl!KSyG5PRZw&bKKT1uP^bW0Vg=M
zl(xWyK?9Qg>=^_?zy)4cRqbV#2(>HTbN4MyC<sh{TdF-Re#V!9qeRfKcoN3w$X4k_
zsx>J=<zK~tgL|G%WxiZN>51nGrjihzi$@%#HfxC_N%9R<W;(6i(lFaj)ANDMHu#;;
zn;QCe2OyO-L>hB@u3ho46K-TowYaVjMPU#Fj3s`f{*k0-ti!*wN~@CjrneU%pO1vy
z1^;V{XiS7E(7!-Rf_EmkLyhpnK1q+tNYp@m)zp{mJxA~c#XdH+u_AM&)w1#T`Q`x*
zssD<+CndBx4uiQ1f9HBh*`e2J%=-g2ujg-(5q4798Ez9JMfdIn9s#r-YI9JoBn+0f
zC2hMNUj+#josf8JxVXc46%Z!i<YV74i!#aRr9-^lQTLLj7o3$JPx736XU$r3Y61ji
z)O7IUKW%&yDjrU0>2(;LaV*rk>`At{!8>i)EW~e5#UZ9*ZLC_J6>s%I<t~$FVe?z!
zuAvqQuAuu>mdCz0>qM4*!0uIgzkoe=4~d)6KKI9ROfyf3*?X`@08JI(=YWwq`75-c
zXQP-gz=LjkxNTo`O^w=xyUMie>}Ke1r>_I8HTpGtuTdDHjmgRGQ4(ZjBDhk8Tf6AI
zX0`dzTBf`EEj@pIQFC@K3<@F(i?l2BD7Y<MAD;I@uKt~|2V=|5))&z~M4q#hr#6(A
zt)O-T!91PIX^;*>oG&qD+R`kU!?KlfQYp6$!%?xJb3Q^J4(nOKex-Yk<e&J>5G?4k
zlK`4#R+b>Wx9xvO5)L`@CiLg%;&EeKO}vtAFAIejjzp*~pM}QVy?YvU1&+isVsZUA
z4S!73ZFeLeKkVEvE)zxhnv$2=q#>*C3IBWMNRF;UP>xC0tLiUytLS}rtLi4-Eg>`>
zl55Oz%h#J#vk%07fIaevIk(jAshUaFSENbKn*3**%f$FpTQCruW`woNfbEM;3DxqJ
z&pFh!fN1cb&p-o@O$;_VRHakc4R8Sj!p0w7iVroA_W|DrCRVI;bWhtGQn;A<SQ45&
zjRNC7t$(9@cKycOpdg5cTojbN(jW8HXv9f4#l_ulkYGG@wJ_4r%1R8|6yh>JkCeg$
zi=UG_kBC)~{w=cZJ3?TBh<vIg22F|3sEai4ogF*ZHjn~`RoWwk+W*E4Ko^2SLW2$)
zKj8h2a0x%`(;XD9zu0$rgjCU%sxMw)5{r0}k+BS^iwMIpAPN<1Zf?tHvoQyP%h8ee
zwy$i^-@(pMAW|ZeUvK5+jsVn?$7MRoe|4?bm}Q@M8W-1xz8n{Tgx@g+s+M(v;iD%;
zw<CU+EYY{+ewv;hsBkgwtwOT^QYFsw+<IDU5bcaJt3Sv7Ud~YX_%1o&mzO4gI5BPV
z&+i3jtsbYQVup4FY>6K~#tMv&7tlPz$QmBM2nfpODEFoMxx7-$DXj55=$i2&4knDZ
za2P!oyqG3oPxJ@F(53r0)3+dJwiA7TY%~9A@pJ9l1+u}@Yv)3!*$AVWw+%n?c<VI9
zhY)~;_pOE0*FT{qf>OuOACaJ8Aapqt&xi>%alR(Uz)Yl)g<XM!fK0s04X2aW#R<o~
zi!b49rJ<q%NU0Ok{bhNB=gJ(0(kQ5&$qI&bU^((iUcD?fjKMu%)(sy&EY+mC#9S?z
zdZ5l2^quL4(MVWmC}CfI6}iNdhSMB0Ac!DH8#_!?Uw;3~b=NkP`sK==ucM)4gswGB
zYIGIPB>+)^X8a;kMeXLzwWX<+VS)UA`yO4mc8GdM*OP|8*9x-b4ND^PRa68}&LBY4
zO+_y|07qs_{&i`Y#&z3^Y0B>DlVd)$N*VWGr$GGAQMB|i><XCVhy9t~BXbKlS=?d!
zB-=8J%cR%XKt@3D_yK0-S0IAx>ysTIHeWd6`Y0n!Vt%r9S1CATRwhPnUe}^Gh;I1n
zx4tC*Skd>~ALC1xK>gdm$24bq6MZnra^Y{`r)$)RMje<QOiqp(zsJ>zWJ%yx!05o}
zuqs){bk|+SetG@#1JZnXN{NF03VgZ9q(5XTz<&3)kEQb+AhA>}F*Dcxu3Zg(iYUh&
zn50g^nuB-+4NxG$kY@Mpp1wC>nX`XP{^bTqCPba7>s+_kgJA?HUEoUj?|JjW)`~&j
z3N0mJr%z)`OOZ*{bri%M6OzEaMe)N!*Lij1lGnlk&)sjH?n?{$Zlp!Oy7ku@r>LYu
z|8w9Fn1O)L8UED7)Ku=q>=Uzi1pp~RLWTMH8fVXDqj>|_kym@@OX}VJ63_GscknH6
zx)HOp3`?a2s+KAvBHF<Z^7=i<@VSLJ3od_SRRV`QHda;`h=QvlX%u!bpI45mds0v9
zgNgtCYVDTy?bKUI;=~PpfU=1gf}Pr&)z|$=`A;>qISMeM>xB<qqzuLwK5O#_3F*94
z?y<Vz*sfqAgQ(Dzd^{%f{$|Z)GLU0PG|oh`4ktW@L(GLVMfY<1&;Ph9hpk5>G{ypv
zf<nV8T`YJU;IToW$p)rJSam5>7avo(^cq3p33d~-e9&G#XmNZ_j)4bsTS@otmwuI&
zI^V;(*r=eA^%h4r#>!W#*meeg{qNSgA4o=l=!W3z&^6PB=skOlbWNoADR)duyRtzb
zWCp59O{tkSO<}pqD-#mlz3hn%RwY;~U;qL8g<~eqceugeEyAiQB0?RP(NS^u46+5N
za3hbV0Mh#p9~Mvn&Yd>ZqZXlKNQ#Tg=m{hzIe0wck-lX<4FPi<gk18_K1gJ@C@vSs
zou}iOCaoV<U4Ly~9-KY-*>_QzX;{F?>N@A!`>yCf@f{Ndi;i5FyToRFJ4m*qtwdON
zwu&<#Q(QA8OKdkScX|}BAIA;$!I}b2>6eDB93CvW(gy0Tt6ZN;wS`D?*!Q!t=D)np
zL!{XJ_aGW01F{R=%pETaXH05+Hc+*(GAObHU$|{)yDO>rAC=E<3U=H0LX4$RdNMyg
zP<m}(I`A|XADQUEy)CKvOFulxy^lLp4@^x!3-Idtbek^i{amAbrarAZllD8d+-U3W
z1U!8X-F%J{Yqzb`pOL+4xg<x3Og!cEeF2XjkE1ECQ#f-r>r+Fm>kDN}g5?{x9G}NO
zMZtt0g6j&PK4P}-w@>qluD)iJy=~-fA)NJW)>7O&JdG0*6Uf1s8-Ud^mBrHYGYg57
z99Q16gcn?~1Wa#YQvHYKA&X=f)v>(hNK;@|G2+xd!S>s4f+BkX>EvVBxp6mCtOF+!
zI7SV+%;N@N9KmDdLcgS4(s@ly1<-N*{DK%L(z<>xFJmdQp4J9H`r#f4;<O>odyA2f
zI`^8<hfS@DJ8N?vx{w?XzUrYvkaxboro*g<1(T3qaxuK_hLPz1F*?Dr(9nqVaxKF(
zp4KH?n13uc;AQzQ?~+S|Czf0rBeyc5ANdc>VZkYGty{w<6!g2pJUpm%VG@sEN|2_|
zV*i(EL%VR%g)u*ERIBDvdgHLF&p$c*<0wvvSs>gWCn$>s{O^K(K+q+XtTDesVruCU
zU0wRCx>~+qdVkM*nOt19$T*Reks;>BX4xBylY3dc5MGxb4Q;5+tMvX|sLEr6b#?R*
zk&#GLI2Un=#gd!X(6Hzd_Nf&w9QCUv5CB+cXMPhGsTPPNi~Lm3I5gx5-)s24OcRMA
zyIfm(duG3qhrgX-_3@{^XpM0k_B+nLg-lMZk@jz6Hr)~_Da>XX@Q((8d$F3bOpE_L
zDBAzY6oC%rmf_5oVZ}=EfOH%?@DE5;;nAcgrwL>hSFU^*B{|df@3Q>WYj?oh3&rq1
zCWhjKcK;()ul%&HzO8d5D~$a1#h2C<=n1u69HeA~=NCWQNE@&R-fyl>-|HAA%T_@0
z1foeOXvD;Nfkz;OPB8u$SKq_l3yy~rzk~hpBrgv|HjJ>|J_Xx-v=-<J3=7u)Qm^m(
z{J8!t6Gfrp;08uQyl>?G|9eaj^@hH#Zd_VgmsQD&1nXQ(mu}88owl6Oi1cLNRMB3%
z*8J_j!xe>}ycb!O{7g=zwbs`M@av5kMclsrB|-TDMXFPGQwi7Wxsy8y&qI!3sN#ze
zC-HKLs!U?JCL&2l47z``TVlv*4JA|l(M!t{l1dwY|Mp4vVz}B)^Ib^Eu9u#PN!s_%
zje*fZvl>c^Z{9@Gf|;_9A}h=J&yd6m%GARkh)}(d?aRDS7gTTs_K^}+jiESoyGEnZ
z<hb7L`Q!79VbX~wm)Gua{m)Ax$KQVHTI#$m@3q2@^yt-(Pops<MzAj`ZQ_(w?<k-@
zef?ov3#hJD51b7oNy*nXjfl*42lk4_Trs%=H<Ltv(>pWQl9QTj%It?^YiyzAhLvU<
zpQhKRWxZ|wOGG8BGyW$EEu!6L`E>^37TP9*&;)fPYIXguY}^9}X=%|b4qh0XFVeD_
z;U&xt>l%xuNImIY^_iBb%dC9;I!@#UIyH8UQ+Nq0;393BTys*(SPpJ@Yp7KD(W=pF
z6OkU6SfM*BTAUr{P8)VSA8#XZ)1iDu`;%2fwb+CB_?KS@j(+Z-T%kQr%Bu6E*)u>_
z@k-WGPdIY;4tSj)T%F?m!beXDAweaMU-4M?D;bk^JJ?w+HQhUcr3lV!|D3ugc8JR}
zhNBR4)I%TqzN5pQ+4`TW)9zOucAke9M%hCY(SIT&5KS~e>hW!j^jlu3`RUSrxGSKC
zvQH{6DS@Yr=T?I$ynSY7C=dn~SIJKI@ZN(5sN4%6Zx<IYL*ZA~{r7GbwFrWLzBc`X
z2|6Jq+-~1&FK59%+9MX)hSH>E6mMFYB{cgaFn&|GsHOX%TTqB)!A04SE?=Yg^3iqq
zP4;l1J)%B>&Cbe+I}APdSsj6bLiwspH_yWgH*cTgv<c0s8X9m~6}%O|OpM96c+qXx
z&L#by-`#}CVrY9q1+!kf=zsgP#1Y>iu7)<N693(A2Fsq)XH@JlxKO|L?V%Fu4{|he
zt*DvtbsGCV|G$m1J%`aI)4_wpdf&keSOk9|i77M61W#6{N0d@~m}AYpsOapr_`r)~
zPosT`i)Sxp2d9=Rhp{mR+VaUmsf7-OnpxuA(9rs&z2V2wGa7JukG!ytdnNZJzCb+J
zimFHru2DEeu)5|xf3^YwFgb})$P1Kk=!NrUj>h)C>JfbK^H6S$VCIBcW-shLOxfQX
zch{6kl0_)PKLY&=3_JHLrg6jvuO40+poO}@VK<zsKOEn?<X{`TUe7@wDn@*zajwFU
z3I<;wa=B}MMmZ-aFF&eEv%NvTG;;0JvC&H*-YlT0pv47^G$wl2NN5Mgr#OrE9MNUw
zpR<Q2ueqX~$F);&L#E()iW@k9UOD@TkmI-xDwQI$8d5Sc{WIzCuq+;)Z>T7qq3pj{
zAbXI3y}m&Je4(A><kcUi`NJK|6xK7(tiLws-KNAKt;*{%gpFtkNb>(`seiwJ#oMQ!
zMnZD}+=>CAKQ!KTW;0}79Xa1;X9*wo-oNwRh``C$Cv_c~1$bc*e)EkB-!9uLrAZP1
z%D~AV&9B|(h}Rt^L`xg5E}d3Aazdel8c_-894{gWobGo+eK!>!?uV<q$kWWvf8S4-
zI~+7HpY1pOxAND%TbK0_-@P;(uj|)HllEk6S$^gAbpiR%XYw%pK=~(f`0&|uEus$6
z)ARYbAZAD@si{|;oM8LjN(&Qn*v07ZmEg*S^zdqbj*dq_$?!bjznt)U`%uZMRgF}6
zm$;k{x+9tXjI!+Jsr1GdoIX%U`)nxQG;eO!)#|tIxaK6kTh1+%hd*y8L4l3+(k>c`
z8}4ua#O(@e33|^L_ejC8eTvkTmx18*+QLf&s9=Z^_u<1=0J7mmN0SVr1nn^a$fRAR
zuUAzYWSORxW>Hh}LJ*7$Hk+ip$6SQ)r#orb^Ru%nynj1W?@>bFEcZS|j^Mi#*A!oQ
z!HNX5E1QG=hd5Z+fewEQ{4?j#N^N7~xyeZk1bO0GRrhQ50jUgNSYSM97uNY>X*O&g
z9TJbDc@seFhK7a<r{B%LFY%<8?y}}{%rv~di$=`S!67$%NFSXiEa@P)egPgK_?b>l
zqxXMp9&0=jxApz71C<VPmJ<^X$F<^YBGQ)I*72ou{C_-s2RPUJ`~Jts$|%`Hr9@^D
zvLh-)BuQkCjO>i;jO>;OB}yuUkd>Vz$rdWv8IhgL|NZIvJAc=?&ULQqL_Y8LYdp{W
z+~a(CC%p6iDOLDZ`(zEE55YLXaCpvJjys_#{=-ODkyyL_;M+nPbq<7F3$fT&2a>2~
z%%ecQdTrJtC`Vw`<LdLhFKRnT2vF7<CgpV}H#aqv`z#%byMY;Fl*O=1+JR@3yd#H&
zV&<kuo3C>X-f-PnDH9CFZ^85x8dyAm7Bb?*nanbh@NcfJ2-d?f%MZ68KZavENcYf^
z6U*&pmsLIKF!%7#!>^-U_-Is_i9Q2k$V|m02ohtrheThkVD?i-lYlM9Mr|Oqyq8fb
z=-fsyilL;Qg2U(PS3TF6fg1KDZ&|(VB-^^KxF_u_BGTNBaH|vw<lKvz9j68_7=7`X
z4!G;!3&=cBKCA%H5e;qTSLQ4TcUSGIhN`dTi7BI>0f9Lq<G?XETxtW~hHeq_7~~3a
z$4Q~LyH9ftw*nKfZgLF0CrCR(O6Iti%7{K}srr#1D77edXwPK-s$i-V$vdp-e=NOy
z&jqDDJBX$LBWDrO{jK8qmzI{_m`Ec$2!x;i0UL0v1u6}S7tT&QF#=p6%2dWfcTgsN
z<TkUn*Wfa>+#&(*eiNxum-5Z)W2D>4f0(}~fa_uuG|Tj>D$I4Kkwd<@L!GSy%NU*N
zX=eJ%;q<JLK5_ySgmWr--AemZd?n?$2F#;O#-8X#FDif2s*a61+s<^RL(spT$HZ2x
z;hoiR@s2$Hw_Eg;is8FiIbFw4!{H09zOaxG-pJHg_v1r|y}Or`<g>9;ZK>V0>I)A^
z;FBl3h4pzj+kkw6^hHsft^?GM;O@QBLi<!v)m6Wnm|2ReTvEaE|0B}J0fu7y>W6z0
zw;k$`v7bM)NaJ84L5R9PO~LY>u!kk;Xe<zbW@NxCZvAap-oErRUF<2PQ1p(382kL^
z@xjg3(6Rx1e}NX?@C>)8o~@VF-I&#gmsKFMBB(J5;)T9zIQlB#C=Q9UW9g2=dtY$g
z0V^DbaE_k7K=%xp;7h`px(^@DPOUJhmX?%&gq0HaK0L@!OOc1}xs^Hum1NEZ4P^{P
zEqPk>asg>)Q{ATi0LoDBSbSQE&lzH$PY^qLYVG@(nQ%v&+h9MyP*g1^3Cx5$Lv-L!
z)tLzqZ^^Aoz@TxR$jX+(SPVBlCp-Jb`a;WT@6prVF@Cfw<83?51-Pw0f+@t!!?Ohs
zp{xrZ|JvBDt*$Y6RYAFieTZcd6GL~A#)L)p_45o{W&$4tVbATtl-|XCn~t$c%mKf%
zkxM}IKbyb2@w9ThJNw)GON(0qtxryVL7k2|he)R@M)S~|a_sKSoR{zbA*p^5>PH?G
z+)9(t1(0VCy%>H=b5(LBoqMPXL8BPnFo){wO(s-lC-^>oJaOG#m99ONv>NviEZg8M
zPh>Nh-;f~%xs+-)S>nnarB;3|LtR~>=O}(6{#+I(DSsp?*DtVifQOuI5|XRpPwmI1
zeM;+c>1+#{0{CU_?NaI}gyA>-VAa;<TK4)nbCu+=ia5$^&7F%2!fdf7SCwBWt<&p8
zq-BzAw^(=G4p@lc#=YVHxBx>cC96~xK6U+E00nqrq7Fa463uaR9?<yC7alwgHDwHg
z)|7;KpOo0@;wqJAfeAZK{vMbW#+v^b6=ZCd9+z#-RdM6pw|0mfUm4^FpW01MLGkR_
zv#Zh(mE3e37BQ(Bbdrxq1N}EvUvNJz<J8>GsCx3`!2<^-oDZuUac3ixaDC#s34C;O
z-5XpSz%s<IRw8#F-1aygMSlnYpbx}_%p>PT%)QstB#hiI@-n|F&>CFz65ue-P3Utz
zi3ok$xN!Fwjsz?ge9`Zg0X3j1M&XVWTI+YH(m~dKMDOEHo*I77cjUf;tk>)Spj_m8
z&eq;KYOdTaw!gHj?0rK+Y6PxL;mnj++wqR}MC<~vSU9z7e(Y9m;yc5xoj+})!sGg`
zzn@#li)Li0um0z6KGMLlNwrI#kjHtE5L|A1<)gs1z*o&&7UcBXFXP<6;j6=`XcX_L
zW6X~BIA}0{2AV3kDnRgv_@e1)G_w@}TmH~j6~0UOZDIQ-OuhDj>WZ(Tc|jym0)vUt
zn}+kn?>LuQ-=@{@KsE}n<kKfja{)}J5TS<8apA9GAJyUU(R=Baso%UwS%}UgnA+K`
zemu9~2@YYvaApS{LCp<Hh@D-ABpo)X>U<=bVh`oKe`z7Ti&`P|2d1{aE7!CjO-Z(}
z1)?x?<$y^4NqC1sFj(OG*OiV_;KgU-G<M6b4@Yz?qzIEoQ%-MIPi_5%ex}A2)AO8L
zJPoxrhDjodO24g2c2W||^QGZ_hYV2AV#~`#FTNf@N*+K*ye@~$Fe2H+q4%|_5X+xy
zHS>p8uI_tJsg!W?q?+0*qf(gCphtaz*Gm9F`8>O^=!rU#_oJ?-pT@1a!k}qnbhHR?
zDE<Ma{k5?%;^{NTO{xH)pa<4D7K!Y&Z5-+x4^*8CgX5_Un4WDj`zpaU>mtl@#M9z~
zXJY<#)|nd(9S>wYUKSU78XNCc-7C&~+~mm@R;o>wM+<qgdtM$e)$vNXQCD33bFhaI
zG_Rcs<HJEOHe5z8`7+XmDg#TQpZ6yg4>+{O;>|{UPGm}bJ|xb}`(<wx7g4{`k;!nZ
z$M-zUdf@@mXn1{_DxqI_;O}+We~=XZr7{JBq28}w!BmGR1YHdDBL;?sj2iFe#HKSr
z)h!}mEpsgMo&R<xGxKM6&ZVl=NkPU3O+N>RJzd7#xGvrlZK!?EgcAY$U55;bAIW@z
zf>B;oU@_(^4#XXhUO%=^YPi})tnDNOjkr8b97g~LlJ>ZBTnSA&Lw&5rAG8D3AiXy5
zGf~;eXVu*Fkme3E6d-hV4t{WqHVB_IL@j!4syoIVY}*RxlytT&n{<hHZn&>65g=V?
z$P6{SFRU~)RMc&{KVD!e-Y|*k>5B}S`y8zjIWGfx<OnJMRy$>6x{Uj{7(|$uLlBwf
z`|r%`cDC6awiNhrUwaJ)-rL=y;Cg}jym>#Wa&ynt$N>1-2si}z7)FvhGZFntYas6)
z@N&aaS1Vgv+o_*+dTioHj}{daWIeA5Ww8_tpd%qbiS$PEmt)(hbIs>?yVs8*tIGU$
ze?^x4VS9!$(b|$`wl@^=EQ6Z+fx6?@@CRX})JQ>|&5U!lnKJPRxjo-L^IZzFFsk0z
zT>E|W5Dl#ONvh++`$QA;Z+_Z0J~8ovwg3RdOMP>N^DTZh{|T>X=5meV>~~n`xg2FV
zaxJZlWkY5-;crRt&V;J^^xI+sycl<bsEdvld{O)x6+DJ&N9K-@P%$u6`TiA84Zo2(
z*y-x4K-+O+Zlj^3oaC}HeCvUb!>8pV;N*`V)kP9ApFMly@{)sIj7UG5JVUTedX<%B
zQP2xn;dT}wu&&ASk1jf2buoC|?kM|pWXVIBC&a0?yq{1#=!^;ELCwTjxc|^|%O!r$
z_{<qOQL}?>PcCgl>5kI_gMr@*#I8Hn1)9XED0O_3l-!<mu)2XAlMKtK_tpjA9ttwi
z9C>8k>9c4QymPA6jatp=g!Rr4<v~oHyM8=4s&6%~EOMdH%l;|h$>bBW{~ITo+U|xC
zK4hGX5kL&_)Uoh?HYeMdo4YFRR=nK$%Sfa)_y$4Dw3-k@xa48an%u0Vtt~1bkk2wO
zS!^InO;(;>#j3y=`E_c?cmxF4K*uWQuG<Iko{Zh``%B+xu}()hg{QLqCbS})7hW0Z
z{I$Lu3DF&vt^ODDcQWg~WXwkiXZ2&`FNpc@zSG6!M2z6f=n#lpMJ0jPV5lDxN;xP)
z$-OWj$*K`>JcA7bCAYCpI=|(tJ~Bn7OQzI**0}XWD%NduuR<UFftbO%@G1v_>_qBc
zJ&kiG?FlzEJN(Tb(#Aak0xbE`TZc(i;!c}{Z}Pu|zYDoz0JM>uP7r(_{55;_ewxVr
zXwpYhKI<{-YsS(z+vSjBoDh?%SUtR3`p*FoznGP2y1ic%A;tj%TM#P34|JGhRwq>L
zJ*Hi-@WzcwBN#vWrHszh+h@hUd9JS*HXW~00QH(U4Y&CWpNd1TP8f)DTOX%>18Zyy
zYoXsiz}Pr2L&VW@B~rs3dFp=9!6iSp3IlrZPeh~YWn3v4l1}F}P93K)f!P@<(_8!V
z0HB7Z*QlS`Y;C);*YZ)&;HVk=mnW;_DJjA()O`E44t%!p#YJs(v8N|h{I7Zlzjq8e
z5q987o(G4Ffr=@?e%DGVRNqE#<Fdb*gZu~gBOL4N>+4{Hrk~3>%MUXkeYo_x(5OkB
z&k*mde|%N?8tXCddgZiMgd=?X2*xqKqaBh1VXGM+lb{tNX5~<|K9-2EFrAX0->~ef
zvT#}@7-Ank9#rn9B6E+zs;kF~Mj|FfH>D)pj{4hl_0PSTOp2GQd-=~Y6~VOuqcKE)
zVJVUJR0UKir}fBE*7=xs?}=Wj^9n$-Y)u!OwL5yzd69n6eYV5FIcb#r9Mj_85-%Ph
zmZl#+QojXPRVgMn`>!ruX)GwKwb^lc&kiazh&%1Ov&WcIx>&7~o^3%pO|w%zpMloB
zEv4f&)tM7#&$gm#HCgfck3_|0Af%7w=j!T;SuX(xKfbPww+><o_~*{;dkh*D;|p_|
zA#QDn1+1kRwm&L2P@)?4Hh&zQ2jv%T1SYK2<yVaNaZ{3&4Yi1ku-v;2%pgSb@|!){
znBu~&Y7+|_xCGn~6YkvuzK}IJSXc{ekmxg!dxJNs+Ws14H|fazAs2c;4B5K*j=Zo_
zNf0#wVTvWHeqa8tZi`=)(OX8fpR0BxQ9U5_+l;GNh>n`<`LW{m=5^sV60->^QeARA
zrnC9x+71FqY-fbp3_9LM2)zHczx&<(BwJX;a9do^V`4gSVw=vb*u~2%Z>nE6b#Fzf
zu!L-jNLsF1@N-eLwqE{};#MMCP&L0^TgNJF*jXXYklc)f%;!)!p4wl#N>R$lR6h<q
z1D?Pm@XG01zJ2~2i<t3@?^TaNRa{O9*N$HAaR+HjDNPx4e(2k`p5NBsyZgQ3da+jI
z#k#h^C)RRYrLiflpQ!vkxSU#;KK9P4x}(DlxSV`S)SFcp3&757BTbc&ioAA9gNddd
z1$C)|gLl!elvqs8wrfTqMk1-W)z78;5$%||E;lD%YE*fpgD*q3bi?DV`0F!;x0>GD
z2G|ysJa{6AR8PK|vLkqmc%IwpnH#P?)}iO6PrBqR%fQ3)KKBbrV54RCmoK1cCO+_B
z)c1M0K5ZVM{p#i^oqI6A$8-u4a~V{ps4_m|MPj4}=?@mmou*OQgvXu-dmSQ!{Y1IS
zgHUKM|Bh|>38&znBMQ<9<brNq#|kUwKIsbeMtt?od;J<@80Nc;Xy0JeA@dM_w4>}B
zh_Hv^Klb&Nh389?*YfT?T1~ZOUWxYM)~#C$o+pk-4m^CpHWX3!Wv^Xrp1)Ulhd`}L
z;F$%n0OHsM`ZQ39>Mg}p_wCG?Ks-HIhgLQb7whOWEgfTz@y>ns28jV@h}_z*0w^Vb
zz#KeyaL=BB+f%<%NI)R#M705c3*|#G9*^7nJeUl?=C56Tw|FadTQ$K!zT^JN`O9&+
zS{74R*j)BpASFcA8|IlFcXrP6CxN3JGKLesmKh&rcfM}Wo_fuvbeW<!YQII9wZXY_
zyEanszw7HqOMgB}h6@qyT69S$kw9+<-+dv#WVIZLHD60yc&Goa4Y9qc>UY_f#-yl5
zQjIp8Rx}i-0~KrsTB$88hVe9j(4s<DNQD91B6brDyg|G((Y#WbINxdtUpP2Rl&_8V
z;eJN4OaN;L+q`|^oS41z8`XVBkDfPKNvqSz<8(vzhCB)heCtx?JM`A*-eHgfgBMu0
zrL84HVUFCW8><}B2RowY8`{Y4-Mc5}dSLp(b%>zhbUSWwYe_0YZwd`KlyjKd@v!ye
zzrJ4+b&lyM1mzIx!uqb%=&HGSd(86zoF8Z=pu@(I@-o2{hGU@0fVJZLGfHv(S}kC+
z6zSV{L|1?DcUP|5+Sc7e#l`Z}_0uLzc|y&C=kOi1sP74LOBerV8*x>HUMZ^!YUcOv
z)c|Ys8D%7t;0c9nx!|;Nm)V`r#qs<*J2&Mx6WNC7&>WXAkRrSx6}iLm@05Ngw+wyo
zfZZMoE9)Plvk6+IoA7G^2<~arIbE`HRy2XG)QB6CzFW8Q5Dtn0Rq_4nEgkoQHAPj1
zl!^+!>n(S6UqDIm^Y!4AgV(x}Ct*CrZ3}kQQj(Hr)2hl@r(&xcDHt!>@8!fz0X_oe
zqy;!m5z_pI3y~PD%-UCO?A;l<PfqnFS@f*vdsr;AXK1u2to?epKG|zhR8%EbJG<g?
ze7yN2er@FM67cIG-5D%;<n64blNy!FJ#IA_2RV=?l<0r}+!ZAegbip;-Tlu?wf^Ya
zO)rJ1%HmVQ9G0;5jJn!dOz<uk8Ljt8{xTrtT<E@5#Pap?U_ur_tW2@iuPwcHNoc?2
z@mJ(g^+0t2QYL}vw5ba>%DO?&$4hm;e<QU}35#W64(w*!MsY=#K)6xk?B<43g;eRc
zE&)av7Y^hu{i!z<`)Bp`t?<e@Z|~Cb-G?S!hWI|k%ndF$YJALk$0@5LSo2)xi4XTR
z_5UquC4#BFJu-!EVF^Mp1}N|60{C$CJ9*U{zLm^<dT<2xB1l7pQ3sOAA(DzKj0a7M
zFgw$idz|tVY!f_=K28>ZIU!`$b=GG6{BpZ!ITh5WX1~&<lx6gld*<qAJp>&{%Kk~y
z9EV(Y`)rA0U0?1~&fzxnohSg<nXJRi)y1-#b#$Y6zqs&TI;qn+m0QKl!m@nQX&1Kn
z<mmx#V$_9_5*lfID)kIp`3tkN;~#C*k|WC=fJ6!%nlBJ|#mnvAgx|f@nJo<0iyhbd
z6&0#WhdoOf-)y1y-r2-UR;fGKo}K>%S>WXgp(O#ohga<EaDMCg`o6vVx3#y|8yN(s
zA$>>W{~h_H5Uqe*vY#=&yQa6b_=>dv!F}P(THH|MxhPv(S=|$?hex<r)K-RyIWg8<
zS7AQT>#&T<7sw2_Bal)c>E;;2x$uFC2jf<eLx#QqB;l`Kcux1JHc-p|jgi~CxZwLX
zbJa_9i2BDKRh`9P51Bglm@<*>_m<)b!j~jXs{?T}voJGTB}@>&)x)I?hRF9%pFno{
z2yOsy`Q&7ce*>COWiw056SCDe$@dKkD07*H1V}+Zw^eW}-7w3*<AY;+-Q$5i<!+
z1VFk3kAShUZc_8bFIjJ<3|sB!2(2IeaRC6=@^E(-5*2M}Y(&=cr2p-QN2&>cBcUH{
zo2Ib8AkG#|^jg2Gtx$Sfm}8auJ!Oq?;HuiYr*AeTHfFtr*1iknnTwlu<Xax(7`4M}
zV!1!}2M_(|;Nb1Mcir}GJ4dPV%J(_n8~t#PlZ3}l=|j85Eo=rvUiDKFz<8HTK4X*9
z=6@6e{p(o9VCE3bXZ7{RuEe?V3|iB({C?LjDDAO*uyTO&$zzV<g~x5R4GlkG629^E
z+z0A^&M-SRJ-mE;&`RPBfGUH_62t*ug-(@!$D%|lZ^p*X3^vAu#SYyODC1J1JS86%
zic|S0A75BQ&27)aD}U}3zpB_d6Q#3hP|68Nf|iCRT_u~A<LbEUxrg@t<7wqG$*kov
zX1KGEtLkd7;=N7nkCP+Ucr1Hbk3TnO?3Dld+(}4T5DPNu3gE9iLCMzv)Czq0h|k|X
zX$9~D21&k%kZWXk*T}%VI)EAwq$nwep2yvG79Bg2`}?dM=_x|{!orBA>R8u!Tf1Lf
z1l<Sf%D&MF(`_2(?scaZ7P@1Ghm!}4hrMHm;EO{L1FjAg^`;lK$*04u<ws};6!csx
zthtkOUWWJC%h=vt{Iaj1@OC7(^{uO1MB1^=3q6h)>!&=+Id)m+M*BD~T@Fnk>*nqz
zBC60OxKpil%ug=)zF57#ytQVd+4<mLN>sBo(oMc}b!D*ZeI6G?QoKNTtYYxi-wcNX
zXoYYk+Rum)&BaTXkZyxWr_@srgbGC3IXFC3Ja1$K--I(isc-GtHYm`ZK}8lc+k(s#
ztw(YIcf>z&&Q0me9SK_|Yc<U5+e3GT(3+{uqoL8Xe4X&HKUtR$-#1G+A>M|+3H}h7
z9T1IwM@&lk^Wb382b$d*GFRdQiVVN^H(A-)sb__bQ@X$J?k0}rpewc09e8)fK_NoE
z4f|i!>}$H@Z`Nl10N<lL1SJ3VR~9Bd!kI_#TC*t;3jQO$crp4y@!km%g0CyNz&6vv
zX&q+MJ8fl|e+%W*y=o%t068)t0R)W6eN$<4q5hp1UxH>$n4NIIT`xjqqoCw$a??sW
zIfTsR)Tbb|C{U9i?IVgU<x9oU`VuROG%_*@+VQTe1Wi7S5btlUUjfPV>NjcbxGxJb
z)2I{)SI3mw>LcQ=rL@*<?f`?D(4X8pw$Xm%2$N{2%9A#P*|iB%&`Dte1Lk^t(M_$R
z&VHqgltYBa1x98UQWX3+swXEL`$gpi`7CM){7jLa{oXe4Y5+E51Pwb{wFy^y3DiRn
z=3*5c16>&NW7{?37M`WlkgBRJqDxl5<~k4}*df7(RXa)I3KT@!Sw+@I6HE#Xr?;!j
zZJ7J6@2gC_afD~j5~tCRz##7DSy>?Coej@IFkj!=(N?mAFMI!L7+nsJ{++ksVUS2<
zpn{IScIoO}Jc-RKZ&7B#<|iSmhiC0<xmI|t*03@SWS@NpWwxf*LXZ2DyyT|GEQ0jb
zh2Bv@SronV;ZstvDTv$y*yd)?BU9D9mSJN?PT{Sz@Am$K2NmaawL>2XDl2}E*xVmR
z%T8+ABtX`!T*PAXkR*`4*JGOXS;qtvo0y|wcG7Gr<|Wtv`1lR{jk9Y!aax&Ah9l<}
z7M5b-^uF%f;X_Yk0SElypbBXiLG)^w@89_y+FX9DlD<e6JTXs}$Yz$EmOc4a-9erV
zx6O-lneC4_{YF$V{fAW9*ht^P+;YIv>-28@Ez+X<tFV)Xp*tMc;h-EEx-F_6b|oA!
z&(><AnN*Q%1Q%WaR?GS6@a3dW{WVrnJv<kN%HMaz87eZ=^dbqDjE&`O$o1tdO!G43
zKl43#t)+t@0Sw<DNrf{gYAa0JZl5Z2`k?@m;jW<O;1@eBX_)kezf7I_-0<L%sd%0n
z^;JvWEZU1!RC9KM&z*TW7m8K*>p_stJd;eJbSOS4Ik~vdok{bT|2e0tSNjoBN6ngS
z;uxP)SXBLMFp)cWk7x9v$_avbd-czSt%cMr_XWBCJAkRaSDT7qm!mYCxcgGUJpw@n
z$BqG=U3@xo%FWFULwkU?f?1rMh9PU$xNhBwi8)w3=FEZ~ujW)+^MkXQ9Y|9G7<O3T
zd+dR*td`}m;nt%_ghG$*StJ*kjvg5_XkR|mO<&V<G+w>qRNPav1A71f%|wLbsSMp|
zM8wv&Zp?-a9=P~m&|n`M)7yup@50VzgIcA1>eTGq+@NbI#I{7eI5AEZdgJ(bqLl$4
z8Ti2u4$gge!4ro99@p=qV{RA(^U2E_XXqZ2k>Tjnu*^3=vXDwReay|9aH-TYHGQ0s
zVP$C82eQBM_2Jp_Sr4^5%HY-N8XBf;BAj)rW+p<ACLuTFi^AqAu{*#ipv1tn#qjHT
zk)$~PinLjwV(h_vf3+sTtT=U83@7>c_j1@^F8y6#HE+L_c!P!cW&O>Tcj1&Slag$-
z?;+U$>$X6C<H(Xz*~Rl~F_qy_Kb@tqsRdrtH}RTwz9>6)`9S3g9W9?d2wibH>jFoP
zEC6dv>-Tbu9wc!+@akC|pc<#sZ`W)pe>@tVoaBHK_QI=dhid0kN!BNNvFFQOgvk&l
z2nrm#a6p$l7yU_*1bm@A<!7StTTyUiMTj`GFom4ih*;TA9X(sPhw)}efFMWA7(9Rp
zm5Ck8qiaKF*V#gOzZ^coRKu{AuV?qRiiZ%!z=NP?2L}gavx5x>CwP!W&Kek$z^WId
zeJ7c;BV*?M<8RDOFIpL_>`uBQ=FoE%E1Hv&SkMFhhE5ar`u+I$Hi0rUyWg|#H(O_Q
z*`Yr7SA=@t)5nkI;twcxz3H>Cu{n831lS(6sp%KR49dlt8|siPgm1P0Z^F@$3UlQ2
z=SfK%p0e3~J9#&1td;reD-9f?PWbW>G^yX;Gwm@n?JvGr7L}++z8sVxK=V?^fR2E-
z58_AHNgH?_E`N-{Rg|Oec`oK$W=C7_-Ldzk3hQ6r#u;agr$49uJsn<|LioS)esE4q
zT%3lEE(VoNb2DOjJl))$d<An3M=v`*Ttbs<fO=*JB(U$_y&J(%Ai;q-(9lq=sn|86
z&X-5MJY_UX7R6FZA{fwt)!`6DmndtLd0iz=?@*VmM8#hQ0oUTpB};xr4}(kLO}N(-
z<mETedfZiPSTJK7W#Fdl9qsXC9$gYUeE1?9Ha2dbRJ+{qNIB?yg2uc%fgtE+^jDNH
zqBk(CQgU0kFV74%eOIik4uprECTnY<R%d=?HKgU=fiW{sI8a-<u8#T9j=28CUxA}8
z$H{wk;JCT@5cE&|K2tf|*27lT)})E-6mRzKK54@l;yr8_#)rlq5XV(SGD1E=sPyU$
zjLS>iH5OOz`O~9neSZ7ygIc&9w}y#>{+6FaY|;AaM)S8f*Dxi(2$V>O5fC_S6944-
zrb9(#!@%M0VJJR+{!F-iJAZ`o*Tv1V%q^6#VL8xgSW;dJ*ny5sOi47cQw1Fkq35Fe
zvFgu^ghk!!0rvt11Xl#XDkG-Of*Rsq(a(4{%q1wV;DoAt`poftHzFb$k&n?)7b2XY
z+h{80E@KQv1DLDErlB*)N2|nw1tf&l&|3~hR6W7lw&TYvSFMjwYi}PS@UCAH5Eh1&
z+j7M~ht~e8TzQtbhS(^t3Bl}#p{!wVHszZ5Yr?~CtrLKkw8;PA3d9`?xd$MI$B*|Y
zqz3$%F~$T4<*gr(b{_7|>4@Vc3|?H8@w|Jta|nal1I`^Ad`|$(a&!B`u|G!b?xROD
zLqnkdrob5vV9{0mChLMxSMPAsOR(Q8>$hn6ofJFO>291A{rTi0F@gqPV4d<ccK=AV
zYu>_v{;|?aB%cC)+{td9`>aP^YSv%eYP)lQf>7hPbBS6qr8<=9TjQ4BoY3>mL<K*e
zwGE^?x__{pu{-U)bb){>6*kiRT@oM7tZi+c$~%6~?0{7j(XVlbPjFF@2PU>S2k{Oe
z!^pjyb4(VS7qZuMKT}!?m9^{4Mx{oZ%~C&}K6|51leDlWK5KlBQDnOR+o!TS!bxTZ
z@^4>`wA)FD<~l}HnC%{$?mu-x=N?{1pxUuc!#vv4^HLI|1o`X@N?DUh1Q5x<oD=5>
zLxVj-L$L>Jm0@QClm!+%@E($DcUPX8l@Mq>AM{7<SfKtE55b9&%bV5h%|3;5hvL;M
zcF!)Tmu!j*Y<!kD(O>iNJ5Hzc@bCs=FimR3PvoG(2L#C>4;E(o3~2w5B*bKkuQSC^
z#-E20wGoka-FF$y3%#CbG_2Y>wi;s~`vcZ22N)x&88?jS0xW%ZRLU|`lra$>&SlVr
z1<pO=lD+l|m&Cr?AKt&WhE4%-!kJPf*h|*n=#7lDjxpUR8oUCeGZ26|?s?#404Ctf
z28){;7mYOT3lSv=xmKs%`$mWEq;kHY9+P8pJCSU)dpnGnX=vb3kNX8QzplH{`#8#M
ztyKLI$UaVy48*N=Ew0z+4!l_V`e;44va+&Pm8|VQE<mc^axYO|06xLyJNT6r1C^n_
zCbz+JWO{0HHathsyPe)tMsUxeL&Qv?)kQ+6vI~X|;LvI(iVZ?W!op&_CP^K_twiif
z1>JoqtIpjTOZs{C$IU0yUQRp;8_Xh-I~olG(orQqAA!tN_%xEj$qv^Ublgkx^B7fV
zXllY1xiBWC8F<Tf4UH={v;^>4JU?r|kPLTIW(Ss4E^PC`LYJ4XKrbOAl#OSE?S$J2
zK&f%g{r)xCtY$Q`m=Xg6mO_24sF<p+zxd}5?t%2n+0Wz`pSj91h=y_|s%EL^aubA7
zqe=V-ds^v^D7QJWGaYhB`a&$e%M>5+M4IFdUp{UhRX}%5BuFpzm-wk<Gn<ItpNEZJ
z2h~sg$-`Om?j4-Q+fj_+W(92>FDWv8Tt2SRa{jL`6in6yYcT1#eS2=oLx{u1bi@5c
z800l|47af$h?{2iq_d|dYg9cZ<FGcsr}R0%4lbn(1F|++DJ79_aJ?$KIp3P^(QeXR
zBJacj{0e8bK5e~dXo&2MknHZ^)SR4YgsZc1UmZBLdTRUjgr@&B_f_|U4nL&1N^-Mo
zJ3+pU0p(0?#d05f3xMFj#uFlUXgyBsL!P3n_xyeW-`!(S<0M@6d2vHFhYVX5EDZQ0
zWe{%Ap5eSpLD-yb&oZEONQpB0t&(~D!<y<5s~t%r=%dzA>7q)SUe`o%!O6jqsQC;&
zxGl{7==L5YB>Z%^@k77vujijGCC|6gw1S?)4tIRP=m7fVGa~pnRn7Rz>+MC11YA{Z
z#jWR?h040$j$6?L+8)F6sZ~LuC(Q3bI?i)rMM%q^Kc23xVD_MxE)2>z$as8<9}*X^
zAU!bZU5)`QEcfla`p*>xybUbpMIcNf0s?<moG;0$nw2mpzg5z~#2{Y6!_pF&(}R>e
zzO5=eiJ6%Pqw3ZDAB()2F5x9>ophGlNkCA`=Irjx-EtlQoPIsmYn#eSN_>}lZ9w4$
zgo4`~=OCtq6drL)3dWJ?ww?(vx_~D(P3S{PdkJu<5}}#aWx7n$@J+{=6@0QzV_!cO
za6y1TIv{_^g35xC%7+L|I@S00KT3bzF7r^APODtel8?+pw7Q4jARSxFVF`a9>;_ab
ziYo(TGK)p97X!MC$aje(qD-T+lNMDK@}EId!6X>&&U80w;3$TyW%%C0Ap&m^K>YLP
zHy;5hNeAhmrw7yn;!Tc98jB9__-=KDH{tySvTL_id^hh4Us{X|C0L4IB<3TyFJkP%
zcP6QGFO@BHuCTRG@ViuQNxJIMXBGSI$y0i*ZYp<s`)r3m<!zLLb&6von!BS-a(Q!B
z($w6z!@S;XCciqN&MGt=sP^O->^xCAf8}YzFM`~S0@qP>U>Sj%j@q7Q9*7^{<+T{5
zCNJ~od@h$1Xb~~sS_)B!)Z4TFE*2~Wp8c@wI1~>m6v*fnI5=0ub+F^zx!I<BAn;WK
z{WIp+XTQ#|i}_+T=`K`rwTpBhaTZp_sAo)mFaKlF>22ra%??2s+T8Bl$Ma5}?5Y7;
z$4N~982D>29#ovv>ocV|OE6?Z&Z6LvkhR)c@@-wGK6OLRg~^BCeB;60LzUP)N5sVu
z5qbNz4vcog={T?9^JvEobS8!S8xfv6R4<<*cwHS=nSNC<INHM@(fxomY%uG{^XD&s
zk-K<!bQS-o3fRJ|2P<iDFHFNh<sJ`Zy*$2S<C)$ebim`mj>u_7;wH*{7(hPd_pK_K
z-reSGuySqh40AfPq9_T)#PZe-j!jIkGc$WAusdmrwF=(fyLUU2YEiDX3Z+TH_Oy03
z7OhVQ4e5#JOhbNN9(b9LV}Jx9_+5;RHZpya`6@BUkqE!-XT%lvYsVt9QeX7A#5YkE
zVo%G@)P8>CEAI{}&}rSVXTd~84o})yTeINrO=5*6UlSJ@-@c&(UW=9SNXqH5w!XQ8
z0~e|kfDiHIE+gOHL^~$sYVkfHN9_Z2#;5)IW@fwJ-}8N}OL}~+9v+SXFG&#big7n?
zF3c4m)<lSI#oM>G7SA?YN-8V+!NaSsSIyCnsvla`HQ0CC7S|6`XwJgi&~JrvyF^e>
zuI$nL8VIrcZ)k2&SNI;9I=JpsYXm9Aj|vLXK^G+W#YRU931qqFiSKzgcqMLJ;$G(v
z#u18Gkz>utphi5tFk1ke?b<c?IxKp=(&R(X1g;fYDk=;i;Tn_K5rc9B6GLP-f+Z}(
zQe0SwscOd+8^XBl#Z`B6Gqbjy9{$^>pxv<jd+#$W(N6DY1Zj6!@ht*)F<$~qEOchB
zpVlEM%JZ4|{GM_5Q=)Ad&z=F=MIushRV>IMC-!;IKHkGeSL3&LrD7mhE8HStWq=@I
z=#aE_%PIRgOZafxg}?+gHvc;`%*)21MiCizW%PfNqP6BpH?_8wgp^AmHCOM@lCjLg
znXgV&=<5#MZEvQnn{V_o<A2L_R_{i;x(?>$n5I2=z-~O5vUwBNP*lA)1C92#6Dqqj
zV;;BfDWc-kHodf;-~i*IZ_+BgX8$Ygs6rI!RdsNd6c!>K8KskqLPS{8XkT9+I<zYi
zNvZy;FF?4BI>vDEv8{vf<E}w9Xrg^^Vj{6gSYnY)ux;yWbMrI=MXIAi;}TxSs@u>w
z$FQ*K&aVEkwLJl+Ya16;0*)=5Wtc=)`fvC^dWck;f&vRMHUtmh9bb5%x1Bd{>x|~^
z;KLhpMr@DRqrZCd3pv4fhV8I9c|{m*WH`F5LU95Axfc8|c;Dj(si=@8H;cT|{r0JT
z55wZBaW6K?Lh%!|X#A9`CuO<!-PPfHSD+%}^OSIwNq7GC1!@F&R#eTRut6KoLK7-S
zFE?#wMw52poS`9RT0e(|(gS3nUWPYI>_7V`#1RvHfpA%&X99VDwR}jigHG-;%dRst
z`^T!$hTo<a11JwKh4e$A83Mtpa-A7ngAY?(s>lJs?&2%_+fZUO1CEPbsQH)vSr19)
zX6*n~Gddt9mSUo}i1mW;aUDJ2DnKlVeSA{Vc%cI>^CH6yPthD%cbV_RK+yB&na5(z
z@t97U(z>5alp2c;d3fMe|4ARUXP~=5O~32)KczY-wsNpIRmbRtvCfZ&!_+<~ZNqs#
z_up-ya1xz)S)xao5C`fRaKibf<R>$=eQ&#r?(0Vvg}dybr==inG<RobuQKg{)F)cK
z6|0M>Qchs<qA@}g>n0E;9P;qFgC#87CowHuK6DZ14&U9=`|n_$C?gekZE@1Q4CN#7
zBz$1{_Q%9Go2#^*vMFVufa8&$HQ7?Wy>{#R|7LgX?enk`mU7$C&9Gd-J-Iqb8~Y9d
zM0ber3Ozq!QnK-?anKp!V037Xj{owyi$LAQRL}k4Pn>XIP+>@lUt@gS;Gexb<_-}N
z)VudbT~p1&2ETiE*Yy4=b+;-wFYjmU?dzM&5+(G2)(QcQqp<S~Z}bF1C3UoPUctMP
zJtaMRCb^-b1Mj2lcwYUFABqPLX66;neDL`8S@qg6^O@m=AI`HJ5{5z#Z+>Y|lqgb<
zNli~{GoSOSJ3u$XJh&)qTgd;iex*9x*K}K#LEi2&G@nwAb-=i`wsxPibP0NwYqlWD
zrpkJLt|hOk2>)v_Fiqtt8{%d5`IKb>Z>Am&4Kxu3s{)4~X!<yz?6<perLo!1xtLIO
zx#1BTkb`eDvtDn(=$wg>>i6ojKlrcKRNAvn0#pr^l7_lEOhvrq9$^Y!iIoeB`B!;)
z&gegB)r&Vg^5{;7^jtL8rbVs*M1YSz-bvIP3nU?fgmin;fvN+h0YX~e-o4)?{fO$~
zc6bO>!Tfjm<;lXB3CO^pAq7uY2n=itm=N~_nkIadv1UJ~9K$(3KP2Xm^yjR<uILd>
z?vPy({35w-sDP=+0j+~ZEG#NoEK$E;<|WDI{|cvqcZ}u>JycUn=LG^vBNrN_Q-g&w
z^A1w9Thq>0KN`*H3jLZxldP3~Iw<~};WmP-vk0|!JQW>X#%@#8S~v*=lS3J-&HuOx
zu|<7(Z+cDIuKokR4!{Wj46U`bLs+RGTp(CaK`W6ZSj=g*g#T6B{rmAGY<&!ODLDLJ
zF2zVEL|?A(2@MOowzUq?9?CJ;4_S2Vy<gL?^O+ps!=buM*LQfZ%5ndOqub2D#K@c%
zL@p7>*e1gJ8CZvVTu7>nLQ!*JHqf{IAV!X)Y2hHZqoc>j1D+wcj&)z~N22|)=LubB
z?WnkM@Yu1xV9UnpOP5lxFa*r~@!WPJh_m;3PR?$`<<!I>{0L<z-C}jpPuj)hG2Se$
zQf8STCE^r?j92Eb2hI^-bD&X02|m5uxH3apDId-|=XG`);w6{`^=Y|QT9+>ZJOBg%
zzCl7l=08Q_(#3iCk<{T0pUK76Vo&f7pl?-up-1tjem&odkB$2p|E~1H*GNp<%g_Hj
zIo*D>&lEh(+^np%@okHT&r(vns>oMlVeU%*a`}3U9x1P!<U10z71rUYsY`l#_fqa$
zliR5*AT4w%*+q~QRG2n$F}7$-v7m8?tT&H1p$m_1CK_M{*QF96Cz&o!*ANAL7CoMm
zlM{|Ru(rVV4hy3IMu=xu_Ui~tBJ&OGipuJ=lrn>H-v%j}ib<>DhlDDl69Hc1H!PU@
z7X5g!u*4p%@!^nKJIniEOT0==HCYou!{g8+mZN_O`FDCxO7F&958WY28kl>;e{w&M
zfk5q`m&C`zAL;^`!~@S9ymf(^e)~nMl3S#aBt;b4x_Sbbe{YiN>_V4tU+5yK65m}o
ztbmQtM%@G<d3@984`H>Hx;7aH7CzeQ#$^5+M%?n4ry;ln5i#Jvp~s^SAD)=#g{lAf
z^QsMgXPK;QY>H8NqNnCGAkrp@dv>sKV9pD;G;Tl4;GuV!HfDk(A77Zy=7duB`@WxT
zi0N68WV9>tL7I@Z{b`I#c-5leaEfnOGWUMSBzy?n@F&PuL4MqQNd7DnGdp{!O$&F1
zF8f%_fnBphV&o<1`oVV&T|{XB6mZ-0rj%LV>DZdY?YnoRQd8X63E3bx!g%&Kl~TMI
z&IRxM#yVJ;D8<3W!uZ<VFh>&UZ}1<Mdag0GC!Q?u?op9fp{Fwi8@@FJNn>g<9Yrzp
zNy0FDjaht~_2-nvp9^?9#SXpc`dI<KWTJ7l3+)f)#JqRBtUo2(30v>i2H9}jbnad8
zA(8xC&mTbhr^d~UZCBv)@>_y~wlNdNA6{jS47(nJMp`3$5p1}t>Y36qGMHs#W_;If
z{4!k@eZvJq+H#S!5*Bm_;2h03IJ<*v_xw3O{~^WuR9B988S(3tED)yrfdhjY7_hYo
zmV)O|UgBftjzCjXUVdFeBg#OC;xPi(V`9EGO|p$>tE*0KCV@MQmeTt=N9|j>MT(Na
zOk2G#-6tX7zo%Y?F%ydRRQ8bDn_;;oy@B=*@`{TYVDvQ@jJv2In%%<83?Z;q;_MH}
z6<tR@ApGQws8FB6PC3|F!0Bl3-a)|kAox!28r@2mxP0dJrYA`F;F%}VIy{VPF;R0i
zS@f)@QhX~;^Y{FRLpoNLmeIRqmv3LK#|#6zCH|bL<0+HCbY~IvF7vm@?ADeFikns3
z_5wT66Muvo&^p%GbVYja^^BbFA3si_X7ERmM&jk=g&+bzU0t1>=ys5*w6?lBsbVt0
zF#yU7G%E=2<-3bx2OdLUDEuh%K#H*pBA))Skm!hPS``&Qsnm#@exV1XFMu4h3p8Gy
zu&c1P9z#VYn_J*Umxq0fCZdx1{WkW>BG#~>PGL*fIn4k%BaUIf)4&r9Ro;7}Moda-
z3%Y1^I}hDspS~U&pm}-Ng13`{u+kzby|(w45KmcW8~KU;pu?<+xz$NzAF|#hZ8%mi
zsfLC#WLB80TESb|3L<e7)_|8jONObO_2&AtJ9MeR1tx0$c$BUiA7RD>IAOd!fzK#$
ze$Ty0SYLpnoN)K<0?cyR{JH)seh*gH*Jq@q4Pu#qw;O%)rY%pwDB^F-^Pe_PsvY}8
zJ3)J1f}kX2_BM_(q3IzAUT~lTG=V}5ty+0fdS2cv)Pl4$moC@;x<-0kgKwbfWd7P~
zj==KW4&^s#xhLres910VXTf;)=S^b`9`&E*;(3$ooj2#2&KK!t0nGA5r{(5WaQk)}
z+Loq}JGm{_^u`2U)&zjepFwlL1N&^bAzh6YBnwaz2v8{8ZyM#@5bHg=al1%#$cPbl
z3@C6U*{L^v)^c;~7>InRF<Z;>?W5|2+zHo11ZU|KT-CrKiwX;okbnydD-Xofw1+Vl
zVUB^EB?T}K@Jj992_vI^6CVhJMC(~qY$1q5AZx+I`B!xNbhO<R$Y)p+K7*mGv_eQ^
z-$4~XE}0Cwm0x3H5EbMAJppYlG988^O9zh0EPQ#o&%?Q(jkB9j*L!imWnef&_HP-A
z`B%$KgtE`OS10=Drj9{(xefrUA?~-G5)x<;9Zr0_XXZ4;jC@qSg=qY_b>U($>J1d(
z_{HBi(gnnSNK?-s7Kqu|m_z`PnL)jIVVnNu<vzt2{GciKvf^iNm}k-t51RjEj5Z1X
z7Woo<l9Tt{!4}zeRxs!S>r4*EVM5`Tj(s~e`H2^rCtNGu;5Y<83L?$-O26_KFF*q(
zZo{H4mph#D{}<~}S4YeNz;c1{B)*Wu1^$@(rjYSqFH+K=!b?j#p4kDw7h|rFurL5_
zpxWW_;lE?q4(}5Y(b~^A=OtHUnA2tVb*&n<5Dzr1!2*G6OMLwKaAfZWb^+VT`)&33
z7fXzW69Jv7@%Qrle3w(FF0I=b85#NbtOf+sC*&5r8F%+uIC#pEjWr}p?OS6*i1u8!
zUNl2UDD`|+o+#Q%64UQOA#3|)wx?()YjVu6Jl3NE-prt|64>(dYi}<eMO!$cDm&WS
z?<6K7tbAK_`PBSRdVRuKVrbl~N0_}+r@C{l(!)D<NFV3Q<J8`vEygb)VfLHZK{oSJ
zm48KOD3MiL{+9p0d(DNKmKL+Y>{qW~!p$b{BXPGkDfFGCIDiChPR{G|EMx4thh(mi
z{lnp+&+9OuJnZ_r{_PQrPcb)^;*%TMAg#8<FFtZ_*hk;~&Hdx!?t++%+`C6^I`K5t
zJWL|%QO%~oH;j@36}GNmY)%vfv%ILdaP!Oi>JDz*W9IF7YvLTEaJ@qdEb3I>BG^YO
zC9~VVJjkPpv>LGp6Yt@f_PD84>Ik=Th06ptN@in++4P`58QO*8P6~DhR)*LlKTr2u
zUs4ds46ZSSz0AdcX0=ioxHHSjuAvr2cC9|8l?MUBSum5H>1SmWi9mQ<F14I*kd16P
zoDqC*F#>K3WDd3*5Ox9VbP#nvjtvuX@LgY@Py5r;@EF34B=ZoSz?ia6xyu;dzS$kS
z7B!J4+xkGh?-i@^rKYmJa~Q^x>>u^`JNMPwvF;HI2DDkZmEhxWaR&ar9RBxr`Ox(v
zb9Jh|E=GTl3kt?~Nm*I@bll*E4{d5MCMW@G)5Yk`{GxEaVCaaQy?pXKduoVcp(||X
zA3kih@)W97t}`=hB!62(+1S_^=N^d5082RKOs%s@!>19-=ZyHpfiEsOJCZBg5PP>R
z61cm-CeBk4V8Qb5A3vI!G=5V+*aEk-#f60@+mGPhCWgv@@_^xcW(TMYXaivJfg<4o
z{PG$aC}ER^kxYF(N<8kkg9%Lnk?G7kCj=xo=voa+vg&?4+-+L;`wV}OmQ9HS>+WHt
zaOK4iX#D*b+fIfLU%F@KyCUZx4F0viw!EV1*!r_C=2q#AT56Lv7)HHFR>rq|Vy7lJ
z@L7kLtMSLa8-7>;#$`cq@r6V2sGvY~g68&a(<m-iXwm@icW3Ch?^Vm`8k{O13|xtu
z&aL~AQB;x6ofUB0h=L=ztz{=I4Z-KZ(8CwAp6}PE4R8tq|0z3^q4uw$3sUlO;E$xC
zrjCe>ML0BUlG(*AZ&uo)m4)pdXDsi#0t@n)9HaFe+al8!=Q;zdx;zd42p}T%xY-;z
z85uu~ljgf6A*u{pUA9|F<hKmT34jXG#}O#XI3G22lWKMIzp#g2eqK>g1}7vpu>0D8
zUzbUXUD>0h))g#woRE;mzW|hMF0A&q?g#3!p@Lh+6a<W-zG#rPhlU83i^OG!J{JG*
zWa-wo2c=JDN3Z;fQ;nkGQTTC)<!Sps>(TW;{O&U2?uH_qTMvR*!_yK3EQN1szF)O~
z|L-RBYDBpD#xn_u8)*p*UL(m?;txPWOWPg7MQ;P2o$qnPj<j~T##9UybjrhrkU1i9
z()I>pLX+c_D<svH;#WAC&V+CIx^kC(K`rugWaQiDx`9dxAI{MaLS#2;@(PaV^-_c4
zaro%bGlEyk+!=;tRl~mtpU{N2+A?}o?ga|kojg1y7cWj+i8IzP>(sJ;aNKNSzh2bb
zxxz7^3EGVJH%>B~0=xqNhh*SqFwQJ?3<sv=>On__;B*$nhxmg}Rb$_l!k@t=)-b30
zd(CX=cBOy|1Akh#W&kDYAq=Q(D#<2Tmc`)q$GJ^^f<d8eo5{rX{p(vd)|Yl{7C-)O
ziU_i~<z;IzHXLE-Nl`vLRT1WooL^q%hTYQi!*;tOlvj2|eb^fR23(>b4#7VIoq<S#
zTd7funu?AdrQ-%}!_OvjSnNdSXDuxc-EWio21XME39X%-i=b&iHNh{MJ5|j_sA_Nm
z6Mi^?ZIS-{tNPbGBm<>lY;HADHMzgdzlcXq#P$0+_c|AZRx=X5$v#wj{gI^l^Jgu-
zyKUShL~_(@ci>l0?IP1bX5^1lZ#;Row%UB(-P<PHf)2!1VK_!QU>fS@WPbA?P>ju5
z6&`lh5P=#*kWkWdjc;oGM-Ymm46kFy?-W&kNI;;mrR7U8XssK7xo=5YOtSW{herC?
zdhoxhzke=q>A*cZ%@k=J6UE`&>{TtDdx$wa6ffz!IHMfg*1}G3ms$5}RC0=XS>y+M
z%EG0m$tB)5f;GUa>w%64c4@zU{=|v`00gg^3S7>}$h~M_kd0mpw(v5M><`0oY-WcK
zSSApSOM72i6<9a7n}jTjG3$9AE2_*A^rIrgRvo;!`%HCUvDn->%}a5cS+g}H{P$+v
zNC<A+V{ykt&k@9+cQcc&VtK=Y%n(>G{hn`+3;rw#eEF)AX;(Ql@q^DEgbxJ==6H;Z
zwdVN*fXHGGG_ecXY~iWUFQ^o7Y|5=XHRa^Yk~>?oc7o0i+sA*ty4mW~fZ!M_{hKzS
z$q!6<lI(9W<Avd6ceqVAC2c(tC9W_!KD=(&8ZqFc>H7gBxUM6n;<xVKf2MbB=hXLz
zgPQeG;GsuE93I2_1p#lXGDO>Yu#<x;fT4Q~CRa09(Q{uOmHSX_glEq5jjDSV{V~Ly
zI;%!bS_6@Jm*J-kim&_HTFD7^!s#7iqem<g>KYot`Bis5+A)SYYjfr(D!8LUEKL|F
zAwv)6bUi9|BRH4FtE0e$!y<+uFkOVr#B{@*MoZlno$xK&&v;Zq;^v8T7+j*vk&u!C
zS2SL|et2%YE_`zp$1AAx(^W81Qgw032k}wi3Rs>fg#eOvDnqYxDlFr4(1psY%yUi{
z@4!-}xf#uvFh4)clQAGN{+^(;hl-kdXH<Px*U_W<gr}2y1m1S>D}fr`5PeqYL7-G>
zO>jQ{3st+FVP5<4jQLztcJ+UcVqu1f?Dwn-qM^z)mg1mpphwW;d(uJzl}y7h`tS>S
zT^|j_$^shVvyTPN`}i)BD$AZ%u@WDc2&|jqXB}E{VX&$?%qE>o4kjRRX1XSI>c7)n
z4qFJMLzvN`mw>oRQ`7KB+%wGwz&8?IMR^r=m5W+TvHyyw$uY9^=zMzm?q%=M_^PH&
zw8MxTY_c}*-Csv`;!KYpJK@g!fN7V{V#e(v)4w9$KHpH<gX2Z#U$`;8L&aiIPjaBC
z18gHS_xj;V7C;n6M~}kVih36xbnl4e0LLJV*jgPwejIBOvv7Q2*CZl$2?-R7`ywS|
z9*Q7TLeo=;j_W@zz|GPp)svQ~pM<bAP4jyVbKa=Ne0k4S*|CvdVnQ3KoG5ij^|^zR
zDw(0)tjGKJ7xJ!3rk~T%+s;7Z+czPQ$XVA-%Bl-L3i!0}w8*Jf`5Dq1|LB1&sqS5T
zgdLltE54QJui+a8KGTFd9=eEDZpQ?k+hW;?0RHpi)C-Y_TLt|;s%eVxwOB3d`j3Ug
zE+Vo1M+({9Mx%W5&>F|!M}6PFSHRRvv}$Bg_?=bya|$W9{AsQ?DPfvH@DaeQQStlR
zRK%D9Ht}DP^I@O=$nNGc$r7ULh-UYKe>wf)2uZuv>(9Ix(O~Y0@l)lcXq#Z3N!Qo!
zO|`iyVuOQgv2nJ@rh>q9R#j7zl&~}5Hj}3Q)hTS$MC8rh+{s&Fbal-)kRHB7(9pl^
zn&gZqW_&%T!nAz3=0c{6+)lbP<1or4>VLvTNC)TO7g4(<;vkt!KlpST1BUQ;Gf*jk
zA)3%s^ybYqXJ_0r*ih)U0c4SrB8oX)9X%T*9f#h93z=v60pKF5G_@tOC~-nCt7{U_
zHqgwC7L9my)h3Fv^5WC4$SEm#P*GRuxzCBDI1YT{q@_8!FZxpWCtWtT!=4iTi8rsP
z4A{oJRcA`jha<ooDsylTP~~H~QxIE)xK3N!aV$)*)vd%K#qhq#O5x4sPkQj`zD&|{
z;e{K@_dnzf$TI1XC}G<c7fTsa6O=$EP<wKPr+;W>1_gZbo!oc{i@bx<Re~?yKOJ0)
zYMq$vZE`dena(e$e#AzVVIaox_L_^-9c!*qda$3iZD&~=XC`8!#0Ftg8qFcb1(-jc
z)Hm!)YPN<)#}UjsF-}0U^)KcRN@g!OqhnaH$@wG>-g&@M-s#qt?CIg4Ay*8bOgIN8
zpr<is5@z-)Y)|KtdtN(n$;(r;J<`<N{Izv62Y9PRhJLWzpgf;=l<SvP7onS5O-%q0
z7(VvI{YRXX017eb#W@c?BqU@u2k$}z56$M4_@{;R!@=C@3omzC^cO#O3c;DA_T&X~
zmOMFy`t<$o!3w{#_5)YLpKIrdk?x`#2sJa1->q>lJy)Ke#*Xe)fA}$mUEKGh???{!
z&~-{l5F-R3z`+?L^YAlJhM&3Tg;<DLy=ZlDCIU-_0S{_C(BZ$6|0Gha1_f#@#UH|X
zJtxQB&TjnmB9rQ2Hd+~><k-e%eip00muIR*QhjaUmy7fYt>fMun+8vrc{8~%YMV1l
zsUnL^XAv?GLu8o`F=Yoe41|Wz)}$mQLC*GTV4&JOpMs9V(!n7GNU81<b^kyN*_eZy
zMv?pChdgTS18F%MWToyCx;Xycw&hLMRumniFlXn}O6gIdG|(PDv>*V<kBm%T15u$c
zE3kI?l<4uxq22xcl`5y26-f*=9%pA82~By8AZ*}feEDAc8uVK@Ec>okvC*nsFHbKn
z{)5ehK>{>yK*~;~oi)(a?d!>IvmN~T6aF;6LH;dY6VE4C)?T?z15|xW0*wSl=Wv3C
zI1REXS67g`k$BZ+SA-?(eqM|KWE3RML-FmmAK_z*KZw3>cnzo^(S@%F3OaFcuR&ZU
zh(GuRViW!_3b!kYzrlipW~_jiVxz`28>4eDNT2dczx2F_QD3NZr~2&2FQ-JW*qasf
zg4>r;P*9-zLPA^|%w-sWLQn+<5!~#})|l=P9dpwzOV3pXUAiy0bDf?eNlc#n97Rxl
z?Z!S-*AJQa)bb>bd&>j82Pil5%Ypv{3&9z<3ow}HU3TYq$^UGNyOBb}wE61Con>K%
zPjms!17Dvr?zOVdqUCLlNH)md4!xhW%g~7nNB-MNkGN#^B6Rs<ZLK+2BGZnVM9s#<
zi_?PN#o1_ujhi;LpCL33!Z?6M@GR_{aR29z?uD`m;JzY60b)E{-kDF7AD;+wnL5k&
z4z_;K0|3|fnsA#E-jv1W^)!Z6I#1f(;;o><ty>*jJK%Wmd^|_8mRZ9#KuYNTV2;i$
zg3<t589ZUXea2Fd20}s8KoeT~g*`X!MwOtU9+=N@Iyu3LKAJIk3v|&}GGCuHi23qn
z`1k>WCdbXx`<#!4CjCDB<#@90GCtkS@{pcWd!T%KPHmi#q@n*-#n9;J(r4M<vww~G
zHQo%v#0LDB%%;Q%L}(KodZ%)Vx&OKlj~6*r365rfj7VI*A{*}?_sp$UhSpmAfnm;a
zOTh*%3!E&oXx^tY(W8JfWvHY?sOZBtU{AiN;{Zhg(`lkPA^6}2z(Pw;SANpg^YtqR
z&Q)%Of6fh}9@W&+>X&11Q{x!V*=aHG)zqy7uKyEfr$$<c3_48Ua$^qvB9NgZ^<5Q2
zaWMZ;Fn7H-%9|Erv+nGRKw4hga`mV7vV6aMHl|+o)_DpZo>a^u+dnH(+(2@4AJ2Z&
z7|{23_qLs~*^`)@yhXOqPqlR!J-3pr3g2B6F;m}75oZXVpB#5?TG}9*GGNdI{zxEm
z=J|=~#OPiu>QW<=+gh1$c5D3n`Rdk|0N-794h}mfClCoxuQyv40PueG8-yaDv*3cm
z`8X0Kn5d}J1``AyX{qPJyV72h)O}G(tCiaBEW9i8s>j7@07ochu79|-S5QCO7FIO=
zho6PJb1gL9*3U_#5AhmYtIw0HD>KReLxVjI(H5r+!za^L_2b8Dh)e5-bZU!DL9cS!
z?6@86pTlCRe!QeV$fF{_?=Rjy?rnC2@pV4YovEpO<&5@!g_k<mngGxs3^;kR0nM#n
zx!RM6$Ve2U)0EIAK|%LQWJ&L10V^}JWAEz>JQ$U7;8IZX1*{BGMw}48vPbfB=+f`l
zto1`eKSI~)!OYu&K#H9<%s{9g2~(IQtQ|Q9bQeGpie`aG$W2!lJG7CEM$Ni2Xxt*)
zM<Bi9Y;WtK?x)&YlVK3+V8Gq*{{5uJR#|E3nMZQo0L#BChJ(|BxjO1-4_j6P00nvC
zCw-`|8G%GaFzd(QQH|><^Wc#2^G@{eIWJzY4@I1_r#0E?q03&S?g%q&xYK<<x5d0k
zpq2DaZgg-pqw4{YXQp-3dYyIOzi)JCD^B-+I(ccFpve~aAkF!;T0B+e)j=b1cNyQ+
ziA;biej~fU=^?M}fc?%vKEC#AhX{q|Bb!Fwu)gf-IKS4Ryq^)d5r~KBIH0<C^f-tG
zXtEGbb4=*19H|9awbXHcX8L#gG6<S{ZisaU?@U|V<HErmH>Sbd0N>s-|M+469o3(T
z0@jm5J2^O3$C8~C8aw5Q4nSZLU1AH`x~4-ml4+YQ9}PD}oDaYAZT{YU{99f?;0jnL
z5U78o9jwfgQ1xeKEJ*9Ft*IG=77-L~qz!|=2IMqA43rSO!T$dKt?EAOkgePu)F(*O
z=;*^OFy)_|eA#Au0x947Ken_$*n$M?KlAhGvlkg$QSuMZ0Si9M4_*l<!0ukzXZe32
zaBz*M5D;5oAyXhOdl<uGPat0CPj_eMz4&+x+97iUNmpUv(-8+rS!4!;h~C!}%ac38
z9cg##Vx*W8nuL^Wmx;^vtT$?@6y<hBD@pO|@n<;#iHcQwLj5nkB|>XkGIhWgeW!B|
znRs|=Hw~crg-{UE1ljEv?>|-S{`78gLToswvD!A^Da+nmBZ%$S{y5PoSrzo|9tya=
zG<g(bBe?lvCWGk3)*1m&$S@pC=ldjPsf3}Il-uDlMe8?H-(7Z6=GI`olbPzjFNphp
zbrn^Bq$XbnqQss)Jt4$WU?7AUY1zXX)5N4CtkpLOFQ5|yX$V#W6rxKbe9>6nptOLp
z@mQfpj)8N`e3U7~`^j7GZOoCF8^iSSC}vh!CyM?Yy2HI^?{>w@wPC~0SpWeNm0p-y
zqK*Y;2P_<`BZm*L6@*zlmrA5%(zgeB0^b-;%dWgV3@l)l1pP6+0c(-=$Tt3PXnrp_
zRWLI#Eq=%V&3Efh71%zS_ZlrLG|g<N<2j0yUEqy^lqD#+%5FP=A&p^7-kUei_+OTm
zUWAjO%k1B#o_zAnSF=0zeB#WFegBu~rWOCLeTOOM9(>3lR71<tiTe(r5ieECdh5(S
z9&z4i&cs#o|7iLSaIE|G{oCF%o9rYZo9sf<Oh!g#MiE+MkCd4tg@jZhBB@ZaM~V=I
zvV}sn?EKIBd4K==c#h*e-uLa1`}_Tj>pHJ<+&g3+szzWlAB}&ICB9j~imk=XMCj39
zx>y^>Y*P`NeSsyRX>nm;a{N84t0>w%A0#kk-gv6vAvGjaeaGH!|Ik5N$I(J;^WK4h
ze~E4J#Hoi73ko47CML!krf}gfqA<<>N>3Sa<@##@eL7K0I-h2=wK^96QgudS1_k33
z99iBsb-agW0(pN5%8m0Ya|_gEy$9`S>|9%TZi?-n`8kCdh5!pojpOALyJlo<A86CR
zQBzgTdHnd!$(W=?*)K({R5>S{7LQIxlOV$u9uUueF7=qM+(Jczi_jR9RAqI0Uxf>M
zWl->_#%^U&>X|^{gA0y0f-E}wVNcWhgLk^Z9A%(8eTR5NK(k@m#=vnkb3THz-j!>D
zX-55q-s)Z<ZhP`@hsP(}F|u@b&(q{3DzC(nAZ__lwdu}n2cD|C`<|p`gdu`pOq~4k
z@Tl6f_Vz*sdg8e`@_KZtUL)iN5q<63@ErjdS9x)QG4x5&T*u;di`P?f-*(najiSLM
z0CGOO!~X2G(b<Pp=YG7{p<KMqDSpSY*ijF61_nMzIG?+q9ZP#Px!tYCrNpAZk~ro=
zHJGxkc~ack=nI+thSuL1HO-i_f5=w7u9Wl|%to@EII{2YE%Jj0L)#Bhu~4uuv*@x^
zeDTP&VK$DT4(DVc%RLz__@3g(5$ZjUR|b?GuQ-=n9?){>m24IxmB^i4`!~G1C3U~r
zyXN;7|Ef=@w{ZZtm>#UE%2cePZ8?(v>eUi_&Ya&26s3o+*o7`!{9{9UH-svW{!{G>
zH~Lq8A0|XLDWydbc800O`_+-ys*Qu>2bl3seP%YyGnAA#w87Q8Fj)mUG5-75&l}iP
z$V)}ZR#X;`gA?ICMttF0UK+QBv?c1Ed2h1PK|ceI$0jZ=bPh4IFMzn>K|nO;AjgcA
zvyD37P0s4PmbdXoN3NuZT^sFR!q9%{gRQ+EE*eRxsl8oYkMTGB`laI5p4F5Zi@a)q
zkWC+G@{=euL)Z^UXNgCNu1fJ|?mT>v3M{C3m1cTT)@FqGV&Mm$l?o4dqVM)wyPe9-
zqlp+W0j*YRE7;Mgv~#F}qT}OtPDRco8wV)x{)`lr?5E059Vz`(q81!XJ9xUWBC+RR
zT1-IH=i2n0;Dq<S^YyY@Sp$HL6d$L5;(>W*m)FMaUd*x*<rHwp*qpHzqYfARM~k`@
zqm;_ZjJ4e*iih_n%wK$k*aW~Z?~j`m#OJu{4~9QJSn+Rt3gI(;E~O`}t=~D+5&0wr
z(vAK#1M~)e`gv;xuTJb7)0hw0^U$~qn;dhS(R|r2k6h333yf+-&`-ltU;M84mci1%
zy19kLz0AzPZ{J+p+*JJL?6FI9bn1Xx07`8@(C`mv*1as-;#RkZemhN*&(G%kPc921
zX)$_p%;(I_UA(*mczDv_p6+a&<Bm30Sy9oa+(zuj%aam__jP_2zUOVWc+9DTbnwC6
zOKKnU-tobM2Li#X4o*%YNq6i7$wS|jm!*Y&L0$$Qm3@p>g~ymd-;JZk#^dXoxl(>>
zv2Kyd>}7VOF^?QYOW`suX~{+|{P^yr%tv^?KYxOz`lOJu`?TI0Zp|xM;^5lj8fZ#o
zu|GY9`o^)??-f;cN$~_}cFEic84m-KAK`S-Wr<>1SGU=xtG)z1&&e4Fm-@(3tRUV1
z^~kB0;E-Ls2+eCuLV|$Wm4Y{KlrHumaRiB`+?{fHNf`YDqSX^NnGLcJk)dPGY=d`Z
zcV}&3w?K3-iG9gj1F5d-Lrf@O0D{5-*9REtpk+f0h&RE*v+%$eC<QtdbBnsR*_wgP
zM8j~~`BqlRRUR<CrqD0%=VLVJM4g6@#>`__t%C7XS$W#Pz!OXW9I-82r-yO)>n~09
z`Tx@Fi+ECaz4ri@M{Hi^C@Ashu+N`=wh+1(Xf;Sjz9r@?TclY}Bg=()e2E#ra8xoo
zpQh$}9;4OxS8pt?40YZcb|522?OYwEtki_*Aq``H_3;`mw{W#yf{at{WB}JNrIT$J
z&`AY_B{K(2I9FAlb2_<#?f=)d7NH^=Atl7^Zg*HmM?^sZ23~TqvL=!o@(E5Zds7@~
zj?Zd1gdCe0`G<cW)EFK&r?=0VnDvHV8;i0FBb}*@Aryg-5Zfs$D0r*z;XVg%b!?|C
zFjO#8HF3ZP25y#Ln`tAC66Z%6&=ACkkcNe(zLr-~`nUJ&ZJ+W!H2-i-yR_y@Z5K^w
zn#obuJpF^Am~FH%@?U?po$>eeLne1%TN)7X4k!^mK$@`%L3#xc3H)ba7XU@%Lz>3*
zQjc(pkjRApV%kA@(Z>h<L?MxJBQ6e0w~`Xj6p!iagPe6D?@qS(L*oxFC8@iV^uu)<
zDncDwYBoy&apdLgk&|0M2LLJrt|UklP!68M2y-U9Vf4i+Z{Nr2Y0s$E-<9#__TZIt
zk{W-d&I%~K`+%FEpmieaz|5Habb08P?_z|95ycl-RL+VQky$W!C~2;;tSqE$Zwzje
zX1TYAehf>{rA)g!JLTVE1Tr@+pcmqSuetUoTe9Emx_y|`OaE3ID$Dlv7buj#2kq@O
zNLTSeoS>*L?f;JFl8Kp_0l3kdnD_uff=pG8{h@-QqOFY$L|d?(H5PYnEXCXw-vE`G
z#<ygU`;0V_F-2vtuTZ{Z*1FF<*XgA|t(V~5y`O4o4xqS19K?!y%jXxrbpj4maXGyo
za*v36`4?0f{C@+b5*)Ec=pV*DvWvx&)WP=stA(9eAuXsBQUqSR-#3Hzs8~Cm;<}RF
zfX*UVnb0Wt)mNZrf=1tT_N)Ug4S~S98jx9?E~GVig%(RIbj@e6uyX%L1tyxBtgCM=
zugx5%<jM`Ei3v~DoV4x$&~HJAYxa0p@xU-OQs`Bg8@`N}m&G+hnsC7=*EXE2EiIBD
zG9Zw6e{IVFStd8J^(TCk0hBbqQg%nZ=kAgGx?ANGL3{RlrV+XrcM$i1aebsp;M*?;
zzceJK>=}3&7FL6JPn?O+NOkn}6+C>{;Uoh7WHV7;-`Sbk!H6WmrKNOaoF$yR7NQ=d
zf&^#8J%gl?YAx#`bA7)~eEd&gn@Xl)HY`l^TiYUA+fP!oo__mg9+QnGnQ!M#1av{L
zfghJ_G<u;NZNs;3&t4j`)R!D2wI`q7K=2Iw<@@{k?$p^sqyWDEu3fuY2;ryrKV5r=
z%Gt519E!(H8&gwx{N?bg9{ZdcGomD>vMKF1$z>n<#p=$tT4P>1oncR=RQi>Lxkb<P
z;{<}O)U}Uv7akTfgsR`ydQ`^a{)9QoK8Hyl0Dt-$+YR&3N0bmrSKZ~ejcn#k{1j4M
zvA%V1b+43?N!dLr0#4!<tz=GSS+DZfuak4!F%#6wi@<yy@{4n{@<A!TMgG#I8`byo
zb-k+ArqiLU`N3$atRu)=VEc|E^v#>U0B|$bEp&+01o?qYA9QK3DZ!D79t{DWu40#P
z6eBC^$M^39apBWg<B->4#cE7OZ6@v)9N$%N@`gR3`a2h4z3l^Hdl{;q&bFxPPzpVw
z$J{1n@(u05hu(-21-2$hE7CXQ!tjvG_oc~6TcQ>7;##2C@dKbCUB3Lf@cN{uH9>66
zq3IOLyrqko^kN@BIQtq$yE__A0UmQeO9*HoJ~}$j3zJ`$lJ^zrr~QU0U=D>o85$r6
zZy=&Zw*uVv>tj`M@kb{8<OEe!)u4XLgr=!qzub0Q3P~^)yPb8M9^NwFF6|&cpzh1Z
zxLZcX8`DCJ?_nS4$S8M!$L0I6`Nfi>w?2$rAbFK1%}+~sPD)rUIa>`=sbFY(z!Q6$
zmcmYLvG-CmOLFvm?ph>oA*;M<ZT$X6qMQ`uoWC<fJJ!LF?e`}o#$Jr|-lolef@S^t
z_isQ&X$vljE<YC!*V?n`y$2o!=tL6`TD(G{umdZ6?X-eh04?JAWfo3UMO~=eo0bEV
z8K)`S*6)47Tq`Oz*7WmrifYIz02{6y7mS*SBCn<%@sV|q5!>SkP1fnt$c|0}2^rMc
z6jFOAwYcRojQRDUQ&GB)zV!`?8r-{Np8Cr-p6^Lh^WMe1X7-#ANY(twD~)&Pz>dJ_
z`Obj;LHXUQL(9b}?{+kN^)8*c>1X?vY21p?+^{;$HN$y%P^RRgOM0pL`V)Pfo#$K~
z=TFP5aaC=y@9zF<lPq%Aaf6${rR0$^(l4upu>{zU5Max$1>%;1<evEU=;&hke@rTN
z&7WXCO*^T1!e;A3K9U;#ZYARF5Z7c|cv_m3xAz?MwQGTzC9QO@fLfTJ$L*3Mehfq}
zcX!z{Ex>cJeN*oYg?!AHXRkP$wxJ$ITsCw``Ewn)eIk$LvJ$jyG0nkKc`aLMH}Js9
z=FsTVAFE5^fT}$)SeTe-`svr+Nt&OKDlM{;U|i_eaSt^MY1F5PBczwj>^?qvNvOuI
z8XJR507j}QS|P!pf9MK#V0_t<DBJLbz{bfLf>0W49Ts1f>1WwVKe*l8A}}Sf`%y*c
z>FtI1{j^cTry2<>uN)nTh@zr<j<S6Cj`M-3X=#Q~wjsZA-##Ojl@qVzI(VQ7m9+Ww
zptCGQ!(4C03poOS=Y|e&mdL$R78_V}WsfAnC7>E@?PRGu_)mp$u2H4$bN%i2Wmgw-
z;3$BCdSg};dVesy6{M`y8S`^$w0Q|uYN*rx`RakKCj<w2Vij;aLwFrlW*1;2i{UF|
z#QX`a=gz%zZe~r@H$Qa>Z5bs!*U;3|kM2inOy|`)0r-6V3SciJ=3J_oVoMty2xtbt
zLp_w<WoHZT+NH;Gk!ZgQe^rTZojd9mzcwkI3>RF_Dk>6yn?0Q7pgjkV+uU3%`B<`i
z@KP{Ov85yoN>Dc8ZZAF^wZUp9S^ZKbP=-!ft7*MAOFaF!whK4yvs)+VrKD>umTb;6
z2MW2C+&U@VcGYr~FnF3WbiatV5RH84NH7ciD_JQ*(KW$pmKMQ@Lp)X|$BsC26kfS>
z3C_Iztqp2a?a!9X-WTsY{#WQVIeJ|%cRq3spnZU?3w&>|$;K&Vl(jAH4WZHl12Hx}
zUQteN<U;w_<sd@`Q4Z43^726LXJH2f_Mak_v&2j8$noQQWn^w;=l(a)JvI)SR=H#3
z4taydYpM{er7(ZatnKaPu3kP#tt(;Gz`FKqAC9eHRc;x3Lg;GX*XIgSUXvP}rbwn{
zXKyfVD*l?l_U#PvX?UjWNDVsCUy~ts>A1;B&)CTga$_qp^?}uIkQ1YFddLtUo$F>G
zULC0m4E>?bM(!X5Axr!tCY$y3k5_2t(P=R7DuG~NT)nTj>~`Pc_cWKl)g6R50j<i+
zd-mhBrI`nGtlM&wNHn)82prNjJw{B#Qd7PW(;avOVoWgh-GVm8_3cTCpfB~8Fb}C4
zRv*u%V!R=bx-qSB{n3J=_{R$pKC5ElF+8%4x^^1s|5WdTN{J{ECtJR&rE2R9Tw`I+
z=?Ft;7q)!GlbYc%h!n=}sXa?E>gyER7CWZwYF#gCcP_y>cYA2Oe06ozcQ9xLe;lSb
zP-o#N#Q6-&(9XkS8f-Y?Tnbqr!5lf8iN84Yh(H4_Z=<)N(fjQZPhyEGOG?K5o&-7%
z?UhEh9sYm3XVG=N&7fNZt^?`}sP~74?8WG@1VJ0>^>~x5dnLg&T3_tAp<y9dXD_S6
zN(J&ftF!0+ic0d+<<YB!=s2qq^aXIGvhSNb8_9B>`MCF9GS^XAC%W(C_9cRM?Hfp<
zcEMEls9N#1)U@Tb5`p1KN_x4&M;Ximi?Wrasn{ssaqho-*1({3aD?Rrhu5E`iK?Mi
zFIf+%!YA5Lj-r<V6F8<o49f={Fbi$uKE|f^o=5)CHrojWtDR;f0?c>@IK?n-jBB*0
z%JVY`qYl_d8fq+Vw3=O1H2IwM|BlUcPywM=4n+Y3(fK$w-@YVy=nudZ%{%$A%M%;e
z)zR=HNKmHwtv%nrtE#AUy&maw`lW%km~`wid_f&YoP*|9RxC_S-(3>;{Y1j5txqSI
z9f~l2-wQCVN@G9!!S(-h0dicKngq?Rl5)mJrfRMR2J7izP>qhBEyicPa56xJhl1#n
zveoyr7Pc6$9w@xn^LOvtJHlr<lU{f$J1gWEJ~->_EXolZ(6V={5EU96e`q3W%Y`hJ
z>Ew8huQ+rby()HnoH0G_Ku?H?2@|AL{O9`p5i<@*sqk!loYWEHkJBku;i=XpHVhb9
z@E?6b+?rKn2th=r2xf_R&NF`qec|Hw`SVOPe;?=$63Lq5yFe!g#Qr|@re1)t$v!Rd
zM?SJNB~`ljsL|$aO%tZJB!cwL6O+MO1So>c0vcQ?YQIop)EYzTE&&GwEx)<yM)FyG
z^N#gK6&34jqzEE=D${Tsj=HbTbxVh7%M4IG{U*G8uCF&{`*UQmGzv_JPM_ICE$vxa
ze&=G$mYkm6*U>TmSVu7?o9!MwuTo1*&BOm9VrNi`x3>1j4!Wmdza!=HPG)B2N50SG
z^A#`P5I0vb8z%TK4;=+4Rc<aW2;NFPYblW_jF(Roei)0}Y_nGUd7Gf@D=5sU)qluS
zKIWN;6&>%6$9L_o+)~eX@Y<hzL{isT_46)m!CC^@D_U<wZc-ND0(aMj#HH$Gzt+_Y
zsjx>()6!pV)J{75_Lx*nu^Yxn2(4@z9IOKJ8*X>M>98ZoLOv4gySsg{hN0p0E9*?n
z`3>?sDzYjK7HdxJ+2QJg7CRg&Z*`R2KhDX)A#L?a9Qf|@Ym||Mr!#D_@qhdltsk>R
zWCK8)9UXN7wcyX6R{gyH)uqgB55QQ4Fa~-U2>0-8{tFjUFaRt(;_%h_q4BSonbW4G
zogEzy!EsbSRmXM>*}q0_HT_ZAfjoJ1&uy1GH9iFWWfDQ`osh<2x7@ruV(pca^Gr@$
z<8fXdN?Z64glI6JMn2&_zvMM<d6AlR57CJ#AX`dK?qx;AW-HCY2?324;-Z{FRkSFC
z@l`<w!5K5Z#x>S)vHAPH;?+q$6~50zPo}nSABb)R-Q7k<kH&v`#58!&QB!)b=^ORt
zCEkOwused~E+e1H940Xj02pBu`9Fur^3xW;P;vX*!`$s>4B02y78<t5G8<72VRcr!
z2X&Rlf#uwk27gxeT>pCcQJ06l5c(WFvly+mIwoBxIy$w8ruXu5@5`6p`^`IQ(S0R$
zViTX*+uO0Oii;DEI`$#72gfSfe+laip`>O&<v31R*x8c->jA1dd-l89IM)9#@<V|s
zT1(Sbg~hJ;Nb}q24%P3Z*5#6O{s8!WS@-CrjhH?gFt-s#+)GYBSuS^@oOXUqJTMg9
z`AUh@9(W%}NqK(rj$1y_f7DEbmDb+Dp~g8T_ylQ~J=y|v4Ch=&K2dPFkxKE?zm|1o
zc44gh%Eo4)@GLJ+!*&8BdCVbj9{R=^&p(tM8|2rDenN^&<+sa!|Gs(o65ZvA(|exy
zu|q_Stc+mVSl0T*gX0fqMiS(dlz<Jm+zpd4CHn~Tqu{^Or^Y9QjyXIRDSffbd9~H(
zx^7I#JYl^hk2LEM9pRc|*(s-HKYc!&A&I6WjJyJsxg(n-lzvWpXqU^cW#nzI*pi0g
zBta!XVp$a&1gAW_dNA$LD#pgr$v0?sLOyf>4-@^2rKB`bqgcDKFW2w+O3rAD#vOCB
z*QKTB+}!Zqr`2Pl-f@l7^HVW+Mt#)HCp5n0nvHNWS%PK|jEy6*`u{5}s@Rc}gxd>+
z3P>%mBs69lgQE|`KHt6_>QuN<2hf#G56u-;{c@r2E;d?dGE!caC2VJ-mO}fy2AlDs
zr&nx@BE>k_+J(po{0S=<f8&QyN7kY?z)VT$J~1g43InGni*S%Yvj<6_tA}2ee1(Tl
z;_!KC5I^lP=no4E3)IYP8bx@|UYEX<RKY8Q=W<dx9SrF}vtwiguQ0Wk!Yi)MS&M5b
z`xVFT8Jsx^@fiQS-qzk33Q+IbHFC|&eM!yW&LH#>e^1fVW^3Hrh;+#Q&mooIy?^LM
z$G`wTMpeAL?_j9Z-fleJQaMhtW5*7Xf^=cKs5kzqVt%9V@}rs$7|8og{$f3#qccjJ
zWri@Q7<8iXf%FK!D6pmvFo!QXCsjm7z-158Rq*QY4d)DCkRx7(wzfeSPXuae2?-q-
zqkIH}h72_1oSdfV7rD7GQV$B$wDb9i@&WB5s(o+=fBU?A^l0>+UGP;X9`W?jX|GBk
z61)WPL_D|rc!KDXX`_0l-WN?H=HrB{?XhnCXRgTsAGq{8lg@uKkBW{4cb9uSZY5{g
zLr%H6upy<K9ga4s@Soo1Ek8Npt%6@&;y$`GJrh2JoeirSrk<bxiV2>(_~!WZw7y9f
zm}&vr?7t@`kz<D*N%Oboj{1@VL}+3H+){qfj1y#fFyi<OdZ0-}hS;RFP=E@}i_rpg
z9s4M?+CYb_$n3M}F%*kI3s)%3bH95_B{%0g2&^$RYS`R*c}COad|0emTbcuH&G{Z5
zj;sA5J3hF1Y_MD0#v~MVVXnC2@1dbNEFKt5q97x&FSf*gfVVCoEp0yIU7@V<>|dr%
zd?bzL>Wl=cQ#`wrg`p>}#m!=9R2i!ix3h|OHf6*1Da%GJ{y!)<d{qqsM8FI%t@g)m
za&gJ|&tv6(4IX86i$8qN;16?3IMMmcndO_8HT16RB%q@mz_b+qAn`fHT?O0<WHx`s
zkjTzXOIUaWt#ivyHl$Cv!DAD=xsSg8YN!Nsb#-mZyob*h&YdsZEX&9^edNfIQ>S{f
z^<q;V!Yb%5glBeWNWp|hA4X`_OX0{GDRkq>+f`l1`UY+K@;7UB{(XQQ@5e4FbG~c)
z>8(;!xqfz=o1(#SK2hW_e9r?4s<2fVX=uRm!D2#lE)cYYygKVp5zRCPEvmIF|G`~+
z@wfR@ytR)X&oBCJ-;x1uAfBPbmL2>`t1fw)e~j5|1`g#DCxW=t&Hj=JDk?6cm4l!s
zMg;R@6%{{Z<AIe7PmG{!#SLPizIX-+a3Jc#kOZLOz;m!Sa3>{{FiFBv4o55;q`tB3
zqp17Fw*0*8lEBKscN7)fU%tozq~gDabV=e@gBgOqnOU;7pbP-ylabpcG8=D4F32_*
z>E#>8J+7VUT(7P7ig`xttNkaB{nekTzZYRv%6K{a0r#=9R@lloLNZ@L`E`X5W1k$3
zaf$qu+sB?5-LXsTwKOte>%_g|bLPyG1v_f_%}3%NaoN_@jqVA*LO$O@tjIT0Q)Dc$
z0&t<iZwH{BI4#vcV>6e{(L)C{(<PbjN7zneHP#L&3#_GWeRi%0V6JKqk!Ipdk}2<Y
z+Aw~sZs3^fx^h5~gOIzjrFAA}Pd?v9QT0iIqZDO{H$VD=b_wMQnVXlFYlbyiJdj*t
z)?)F3j5OCCLsL`BT$B)5y7T5?5#d7D114w0-V)lsf2Y+JKX{Le(6Z!^lkm}B;mxBV
zk^zk<gCc^qtLsw$+nGTu|5t5C=j6B`z5$2##S0gfmX}eX;CclVkUBQtp=2%21}_LG
zdpi~IclW=eayjA-^6-fhU)t!FkBqq5+rRJzU5<_uisV%NM&}7c{Q}TFZeTz$G!a_!
z2Azg7r`}fv^aOdixsZxhU7o^YayWeW25ug>FJK@Hn+K4|(7?k(5#%YbYL4T2V0cI3
zHhb{0sha5<;-m!No-5?_K2%-?CrzT1g&D^#qe3YzNus)ge-jF2Ie0r^Ab`|3U!=$U
z{(aTo|0b_;;dae)UE$uhm(Q7-a~x*aM=9J+AxWFJ3x(l-h`~D4fUp)oTulk6kLk+6
zmO=uPWG@sO{&o+!g)ub!MtBkCB*|CVQkarbuibuj%%?uEN8eQIq8WsYbWBW7-M@dN
z7SYIR)!`SA?frs^1Fr@|&D*~?vB0%}?GmFN9zAk`5^N!y^$@-|P=_N+M~(^WtzH9x
z6V6UBQ#*}ZRf>K^l>shTpjZZQf#i=Rb=lkd*VZKbujfU#Iw>eAVc|Kxx^sQGSVF>o
z=H0b%M)04bPAz=l#E>Z_yYNZ-R|A<@_Md0n>Kb$jT;O<h_KPOTx97|zhCknP>}-~e
z*;F)UC=H~(1TfVw$TlgSj+PTR!PfBerOWk;e2h==QkwQF7)(t~ZES34UDmxNn8D3T
z5Q);tL?Hu(Kg>I>9UQI~N*RhU6e<*T8r;>wb-k!9BB$8jrA;qq^6aY1p4+rFUez(P
z9bGreg%+G8g=zlU)%=ww%w@VKIJ?Pyp%5(k{zQ(x@eau>o8xHn;hXYb_n~gU(n~#T
zmC!W2{coiT<XC&<Yek_-M*k#Oe8lso7US=Ak%kg2@}y<?D2HMxxMoNRay+H-b2SM^
zB&#QN2#DmVPCxp8Sa3fV6n3aAU?U_d>IPqUE-v)tc;mnjUHo_9bU|&6t`0TaM;fv_
z%GVT?lyJ+-<v%*<NU9{43ebPgu3b-xi%rn+e*P>CU#4R9P1sul2hH(c9kiytbl2`k
zr%EuDz}7Xy(un)^w6}W$=0&<4r(K{A2ySe8w&fSbz<T9V8n}P6yXl|>8G-iM++b2!
z>Hx?_Z=|f>tgfvAhJXK-?uLct3H51z9?eY_0+F}xWON_4`5$R2gK_lZ`e2Z$?)d6`
zwTv?83iCil6osA0)0cAU>VdGQ!?a5M^0Z~w&aD%cs{9ipi8g)dFn{IiYvQ?3jgwMK
zYx^{RZJ^n!oO{_i)EE}>Cp=wPfO{Ye%}ACG?{n;}pZW1&)aiHWhqg95+%mYEGJd@$
zLYN^tFgpfAv>BCZbMx=wFl$lP;$Dw2!5D2pEH0VMHZM0f0y8%^6#mn*QTsUm>hDxn
zCg1hCCm``=RFogcpqb6qzm?!#h)ae@FPmYU4&kk2`V@4`d3A=ia-D%q4-@{PZ9_2R
z!1N;~DU5H=bp|YukUi3gD*gM&jDUQly?f1e=?IXS3cPywyluy%)jOjAS`8&X&^%?!
z?_}b@zJB4Q?pQ{ufeS{`sG*P~=&>pMkEMrK$-{48MVoos5P*y=6xtv6c$ZvHq9}a&
zFpG9&A<>v{Sut??W{e+uY<RS^bpH+Am??J^p2#xwO`aQVH%AZgq$D0aNOH|F^q_&f
zbbr$gt?bu3glU#u4Ruecl^Mrv^XZzZy?XsRHB$Zjx4E6<wgz1a%`wN1f&4f%Hr8;5
z#MIo<(r=`mhRk#Guh1m{mqQ)n!^WZ#Q?g#73S9w}=I3@}Y-cO1qNX-6KK?yzq;|LW
zt6QZf*rr=#z6!XGnw%gbz*f?KZS3Ar2ATh>s(0fZ!U&_M$I{l;6TEs*#X2u}dP*5|
z;<T3JSoBlJ9{@IuWRG!HvGoSbAonX`7C8o9n1fc)iPNW%?2-e=fV+3@0NA!5=9{>}
zTJZg&M|H@TC@!7{%fZ2PY2U1t+_xv<Wmco5ehP2uj!*&T`mDFQx~qkc^0MM%4iWji
z_hF!JWrgfCTj4~!Sh_<IpRTTcyCmbpwXpU<Vh4tfuxP=QhbsPyfLC?_<0fVOm_rly
zbUC4z&8aai74Go@n=%xnH7K-qB^^z8-e`aSaM~qB7F8~-!w(<7s;#dF=)S9d=i=eK
znWwf<KT_MfyH}RY*!%rgtx%Lkeoc|jo*;h`*Ep#o{#?(^Ef+lYkDmaySzB0?UZ6EM
zxM#uQ#5E<{!ikDrWN!!x5cn<xR+JhN2S)E<NP&yz+&PpvKSsIx-vzs(nSiq-pwRC>
zen8uSsfuPM)o!|_aZTnyTRmIbEvQB_w+<0C^3dzCS#$|hMf{R<P9C)()zr9te1#;&
z3R?*E82j#(p3uS}*b#GbT3Gg8{mb9gV{D-lv{!o9X#Z^DX<EcKgLt-_q)`@va~`0F
z<lRa2_$RMd<wz%OW>5!i6q)6)>S0iRe673tUEe)Nzi(Pf_xqhh1a(j*LCK~7GC3bB
zD{`-wU6Z{<qN;d$Ne(fGu)Fxmo2JFK*4B)nP>-e{*eh#SK7FQ~5Js?fbNetl58$Kl
z>Bofolf$ht_0FT_lvmQte1`9KzL4`5^>Mtxyq7U6mj{O-SP7r+_LPukFjaZo`|8jt
zR6ni&Ldrc{?;!7HyIX;S+S8NLHX(o1#f9Rak^ArHI>I%^#@0&(tNdCOof;7YZPA){
zR2^N6Nb`nA5<#HN+(fObkC6Y=sh<VvdkmFtXZQZE4heC^)q|=7Jr&*`9SsfI(>;6l
zV%+Z}M+H|lu#Zc6J%WOQ#GIJqi-nVqv2RpcSzGVtGqgLi`{Soi#6&T;qnwMOcr@%0
zZ76i!W$04D5{M9(c!3phBJa|=G5woASN}x2v8jiqY6fpmlL?5iUEm6B8y9Tnj$Ik~
zj}KxAnfvky+1{>i(Ql*)z*!t(Tu7LYdCO78RL}t7+*i3e^0Qgu<KnY)wW)Il8MION
z8;jFlYP@wo!s>avY^%Ui$KT+f5oG?9t31D7t~vLj>#!ZnP<`PSSFn)QFgP@&{B}o5
zsjtIUTUjy*793KK^DBtF0A*#1*w|##ldl+Ms?R;_xkv&N;p1A??f-#+T2fNap?Sij
z23nYvB!PsS-{83tnRqQNalK#uI6PX{*YULEepq1G2Z~n6%bML^+eXd8K8?YxN)xRG
z9z`_8L6-%FP!MB)WP+Yk?<jjiB(rfcpXf9Sq&;x?s|C(af$hyBNf^I9Gs}ly=?;_T
z=lDGc03$x2i5>O($Q}D09XGCLEzqFnjt6k@)KctoT$w+4ss9}}GgDKimpp&<e1d1S
zD8Y6s2y`qVPF=xm5na;TEcvfqHp5VcaA`L^pIi9xOvlSA=UqO;I^~J7k%i){fI|2}
z$M5eP9;(sqB#<DSe+;<l1h<EQk20rOJi1wo&rZK&5}M(fpa}B(x#%Ooq1b9~-fzVt
zG(vV&;iiLA_@n%}T60m(Zd*iwBF=??f(##mf|3%c_l%jqrKv#u?@{-Er@Ug>n}b;k
zTVy>cC>7JRs1x>`uJFT)^5AH^njajoBd~aeT7~Z>oaC-L{|}wsd;nQH#Oxq_!kH2r
zva3LER##ysBL5u41WqdeH~6+-H?|ybA=SJ3nHT_?66tW{$rrdvKqZj(Z`H-!_sX^A
z;1n&|qG{cO2TA3-b3O#-P8-9KF7S!k`V*k8Mc0O&{x~sSDE9aJ-me3ZoRzwU6icsO
zcq@?d)i?@0;kqGW(oHnrzIBTkW<ek>R?4yD@iqOGFGKxK@wPjAdE7n1v=|I{DzLRD
z+}W227{mOS;D$BxI<$0%y-)hER9JnP>rZr;Snm0Q&Z=o@)ngYdo?CrYBO@Qh0jFTV
z^d{0pV9_h=Gu9&J=39LP;>^#;0R^$ACxV)78?0^(pjC$RA0WY$@9Ei<uCG#>3!nB>
zcU3i|s{tASDUS#gpf|!5mC)4L)m0I){SR>ssj1R{An+vN7reCWjWW8v-WgE}cyRat
ztjTeQehCOtb+z``r4apJQ_*6tu^dqz1>qQ1{_EIEFUcp>R(h$5nb&Y6SP1daaB~`K
znl(N!<|&@=j!p6XdabC^bdV7Lw=no9p`?U8h0%MGn}Qi4#FDn^7$$vweyhc9lJv>D
znPfW;uO2IVAMsKZBy%e>l7e3zgxsQ{qTJl}&f1E^IbL$^_|-tZ*xGV(w(g<n8w*~K
zd)ZZjV2V|grCnLJOO>wURR8<^Dk_*|;j@yX!Mf#`n?Ia%Pxj(o_!8BzDH*Fzr0m-L
z$5vxsu~OsjmHBn$4|(-JHU!*ZT4Md)|24oLke54*ZEw-v@}f&RBKrON`}0x%2RGaw
zhPxWz2J}zC!Ie;zq921g11bV52u@PV<@E@0sjQBNl4I7`lK1$6%nqvSpBDb;VA+a4
zFSZmVdv72Dh>(6d`c9hKEmIoLj7d2Q!fC#nndec}(u6t`JtoV{JZMOfF6r%P;QMgH
zgx^n!jqb{5@WU)Lz({FJSSHcncTqC#X_Hf-A(UAOJ!PF=dsZcR<V;i<9Ra(1tIFo&
zNz@dap?{^*jRGG>e;P|mxzt3TY8US~6So$$oKzm;exi_>$k^C?<fD>~ve4YjjA(dV
zBy$w(S|EW?O@i(EfUoC%zRJ@qTE*7(jt*HF8RL%40&nmJkI$h|g~?xQg@}~2s2nQ#
zO`wFBNm!Mhe*jM1?77sZLV6}h_CWDxsa3RaX{sDH50GUA;~hMITD)bE!VSo@btl2z
z!($UMs4K74$C&)nTW-AnZ@whKOx*FrI>IPU@E^;OJk{{kd{|3;YHSqC=i@cfo-Z)5
zsAJP=S5SJOJ4<EkN%z-|1itt~n#?Bmi-VPF17+Q*|EY0e{403T`R?$dDWQEJawV8R
zh}K;gsv$c}7q}odkQzs$>HYGS(GCQRpavu3`jfXVM#lHB6?Z#G)yBcX-+OwHy=mbS
zU9zjt^VU7GubrLpAlS{#`E4zCV=B<hb_2dyo}^t0`N0h%X9)m50K07Ux83^RdhwgV
zW&u-yfD{pMKh{@QWrq2XQ>&&1XFOt<{M(9ypdvkVJlSgm>azalKamfgaT*%%kRBJ2
zF-gC3JL9=N!&OWSi)F7T`>ZhB`S!QsuO*v`2VdY*3`J$y8*9ee$Av)UWBEDNG}<P9
z%G#PNs?}_sJ=AA6FX66Xb=*Vd<1a=CssYJ{8^WaJfoP4v#)JvCE4I0HW#Ae}CPc4&
zzC@7bD!hlo-||%2-CX^%y3P=&&a1{TyxBy3MGpiA_-V5H4mgphCB2d;p&!u{w%OA_
z7#eENUzPdqJaTbxkacRLM-f+PNK}F&9f^AAKHWk}yj<E{BQvZ7{i{#A7H?yy^<N0J
zoHBW_U6#F8Ol4hf0`pK5@GdlCOC_U!igZl6AR5-(TI$3B*vWQ(Fm#*|FjH%atP{$f
zwwGltuC5dC*a1!%0NCT_PiL31C(sgtUxlu|-my3`QqR(oD>|5E+s&B@*pL|lSuhxe
z&@5yqO(mbyD=y-`qUtp+d+M0lNYMh?rjUt`rRroK3afu?m<-Yq)Gza$?v>xDdM(RX
z8R3&TG9kX&<J3mMX7;Ib)sU__V^>1UPBsgtze>)ouJTDNX_L>qZf9pbyon8`dKnV9
z+8;mepJJYzoehC~aLV-OPb;!MN80lL+8xLzp!DrS6E=$|1r31GA(io8<xf_OB$WP~
zkl7=QLCgON4LnD*R6w=y!Vt`j&~O)LXPE<cz|({03)B!JBaY+F5WoVm`={ny(u<Of
zVB<g5hjF0I^J*`Go(YTZZ`gD_Iq6#m-o~VrU~<^=vl)L5>>wbx94WaE$|95-FK1ra
z&CALSV)6lZh3~sajdlX9l2s%$JxT-~<lfuVdU^2Ys5Aj+j*^_5L}0tOB+ufZzaH@)
zbuV$eD&v}smyJj?4!uT-%lxZ6^9ZFh)$cPH9(9}6I2MzW*1$xGy&Lihqza#Yd&wOT
zQVVSfNa!T19ycr0Uo05D6fn16@@M1VfUZD>?q>iIPI~<sC8!2p^sdnWD3ygbDG4np
z56@;95f7{+-2Cu9$M_bM&xbE2B<Ry}uBs2fM;{AxW#LNTJNgLz8M1RT)$5PSGAL2m
zae^jvYS4EdL|!mqR4^#Yj4$2Y%=A*6TxDd5%JL<rh3R*qL=dVs&3ixK5s43s(gDAr
z{0`|TEUHA+5ET^#!yNJL7|d-!BGYiFC6CF*RtLuzD(QQlU@JelTkII~Hd~vPm=W`~
zBRa;n*iAUIJs3Iu)U>~*woT}tIM4~WdbiV1DG#0R=z9SfPx;1>>zfiX)(uZrYrY)O
zyYcxh*B_c_wpo5%6GgP+undi-xl+|}ajf9|{>oFdgqAC_eVQCEzP<U--G&GH8{Y`R
zH=^bpkQV0jN&c&UX1!O%M432e-}qwa9e9}$QAjY1GA;j=yodJfgz)(@OCGBCLPeAh
zm=Ik7GUnwo{_k=Vfkz7dQtTn%;^0HE|1Q8<1I?Q4=o+|Ss4ngt_Lq313u5i5r(Xjy
zlMWu{Bw&h2qnlE7{Pe#Vhg^o^I+y^LbcZJS{N*S31q473H!(l|TlNG0P3tuV!jLl!
zs9%<UwaO~VHk2Jo$W4_;-PqD430cMAgHHdS3jiYZnKq*vtu6>7&nIZEbKmf~GDsh~
z7;U*O<;F8>7#XG%cX|GkYRWHErCz~%t4g`8y*1e3V$$kTT3WiXe`xO5<LQI7jMG;1
z)}~NZdG?hR<Cca3s-nW?KGom>i7WSiyA3VN5^klW^pr3Vv^y0RrG^&m=BzhG43?i;
zmhmdKa%l$oA%!DzrI!e2g@}M04&NGNtW0gKR)%bACZ(x7qJN~>7;ER)Dpc`?isanf
zIX;~K=FhF3RIqFoee0&{NBD1EUh^joFN5jc$BngryR#ljYfZ?i1=3c%)4g6djLogS
z@v9q16q2iTg&kh(#iew{VeX9%3R=u0Fx^F76Rrz@lSsVyzeA0YNXSv24G@e9DLD{9
zDP{Y%3u7)x4l?i*xS-4h_BD@z1vb_AI2vErcACWx<>n)lvjcihaOb~yudXDTizXzj
z243~lM^A(IUAnubj<Qsq<w4}8M7u)E5(y}ooJq#r$H?5+?fpYz2Cmp?2Wk@B=4CoK
zF_MwqgBy%TGq4P(w6@@fW|;Cc4c~{FqS$S7g?wZI{K|WPgAqwOV00-=dk&VRaNkU&
zpBORuN^T%6dgAdt$B9$ZDs*YrQ47O9b7XXMaU!VYe|>1ZU2JwPvg%RDfOr(8D-0vf
z2Bjh_aQKDc2prD@T@35mH;Hb3Z4>{4twG$PdB^v@FoxaQ5zF&U0w8m;TfF(l7x~3X
z-R+>G&|e#EWX|{PtB-SNAJM$<r{5;<0-HkanNN4u*4L4b)3@(V!??E5j!C}0eFp<I
z`wG0PsJHh=scT+yoa+)|9X%jY_%u6<){_(@Kzuf9m>8I1vq^}8Fn3k?y}RXh?smFm
z9)2#bXMrxbf+CT;Bx3IOCwt0n%I|Z$*LL{gHI~^(FE%4x{w)eDfVgA!fL0$-yt>-{
z^;(lQ6pt$lCdM7yJ9h@HEu0|;)7(5XT))%p!mvBpnC!bF;dYJ>^YZpza4ve_#uW02
zHCj|nZN-r_yTqhBe3~{ruI6o>cwty_@>h&0nolTUULT?it^<}4Y>x2&$3Fn$L&?@Z
zFre8^&T-w%P3P)PxsS#t84}6Cw?-GcQ^AdyKOo>0@ohHmfqK}(qpPFC;ckOCf7+ID
zdS`bk66wI<wvpo}xhY|#SbjwMpot=miRT3cckX8tzU(e}h%|=~m)}i3=nX)ZHPzs=
zj@;I-qgIYvs;)@%E&(d>ll_jHyZco?KcuANppjcEq#3ab-Q2UI-p<g@E(9DpQ0At5
zHZeK{(v9C8BW48<Y<+x?v8CU5JJ`Hd&H!E;87e-)NntX1%xY~1AD_(Y`bx`dci`6E
zbjid|RQFpe1MSwAuWq_dir7AgZ`ziQ(5v}E&AyCDyrw@(Q3&WL|6n?(xjGa9MG}Uw
zn+SY`6hQwJ%!m+#Lv%{1T=)n3TiD+*UOxDO_iuVrhd5vS<oU4+_Rns__?uvWJ{l7G
zf2(znB%ukigSS@~T}(_80iocqF%{2$^ypDR0rZ?j<>lOj%r<!J6McGARsFxxT!mWU
z7hvh#j?RmRYwB`brzV~XvcU@HQ(s>or1)B!b2?zEHFK>y$8C}Wo7%baLCpH~qrCGS
zu_?dkGE^t6eH3WzGH+PM0J)GIQ_$R;t3wIjG*K!;SH(5K+TH~Mf|pTkcn65%(kz8J
z_MhC>%uD!_9E}XFD*btK@AS*!Vg&SYRlQx;kJ!vg)igJ1sz^+@mY0$VE>IbAr^k;R
zI@E|TBNxv&pvo=lxvi+UMLD2G*NdgoI_$mwL!P#t1`-bR8UMcT4T{#KC3svBXy_ym
zK*Us(mE9k_>F0PL!12J!JTZ<&#XHnlZZ~!K>bACy4$*-QqyxZ*fI9G&$$v4q4F5T5
z?DWtq^jaX>$zeBzn0z7DXbhwHOD4cofC7uy-tTQ7!6*(5tHtT7k<Bq(T1do5`~2a<
zk)ucRo<ASEP>w%}25x+OAw908C*l-O;q6os!mH9!t#Jk|P7TK}egEA`_n+G=FGl0`
zwyg|IZLJ;l9rj!~(pfKbtHbgo6DE6hAzQB<?`a*_RQr$XX9VO5HTp*;+i`3ElVavZ
z7CxE=BC2!*&@c!xpJWT4hPPsgq)WDoRX_0fdD8JSqla~r5(xn_b`ZlnH`tXsW!0$P
z<m9?Hu94dqk%cn30QzQM7SE5!B)eHyo4br(A5tJhj?jV$K}`(<W(XNfOig)Z>_aPq
z2P3GnUcO|l_U0_exS6WsGtJ0K*WOOK!<JmtY2e7FAKjphF2<)?4~Q2P@vbt0h6rso
zT6j!QaEm-IEOZfbM5Ty{0|M&k;H?j-5PK-T73SC&+m2k2zL%f7-vNW*;LTNt+gp0W
z9uzs%)=fim)N_fpDf?kzp{Cb>I`o-VRy@qiGR_}v0nP!T8RQR$WM^lMOuFEOxv;PR
z;UNcwR7T(uouH(o2d0HBZRkpg_GfW%uq!A;*0Q$>R<yy+gGzK%7WV1)Hd!-NbC?>a
zef59Djhsd6N`?v*J(*LnB@`vV`y{lInoboK%HTE$4Gl$KZ*X79<j!=HFUv?_c3f}2
z&D!C|Dz%b=0YWca$1f6AV&~TO5HN^2XZLG>$ybx*92217g82FQY0UuhwJVJ`ck;5a
zp)N?icW*aqG^|0p3r@i!c`d~&38m1gulJQJka7#)b^~SgBB{AyqCof8YRi3b%fKM0
zx5&XM#l(k%<k<-(jc1tLcIFu13wdx{SFO<(xGZ%<;tnQ^uFlSZC@ZlbtA5m>Q$Z4Q
zGSfdCG#I>Ms_s<Mi}R20jAvu|;Y)r(#@6}q-8?c&$p_Z+?6#0f#2W29ax0@_U!${@
zUyoo(!5Zq@(WaGWq$o0-MG1$P+fs3HLfHlH7#IWKgIWvnsS^%A%E|So6fdmqhjlN3
znS}*LCQZ8cDN{$QFO+H8WJ}z&U!j;*MPzQ)XG(q!8T;Z}C!<84u#oCGEYlaHho9Ld
zBQWw3+kg<53+W=v7_Rjfa{!H+p4jk}ReQPrEWzIE=5k3uMs=W*>)pctTXowixRU{j
zLx+S_2L>k2Z=!lal$EAL{2jC<r=IRgJ_g^-U|?2y^!nm#U}){R9u6rD03M@b$E;pa
zkr@m*MqVMg9ow-h9N!M9Iz+$#Ye(Yq#JnHQ#rulq?h13fhV}ql-a#aw;_x;Q#J&d<
zgInRs#fzquu0Z5);OM6cXO?bE<`<!|u%n%Ua*6BgXe@=F`+aq59n7KSE1`8C7#P_1
ze(A)lKbKLOY;?9b#FgNFLUjJ&Qrryt$!F&pYNiOxTwJ*-Jzu_%+GiEVFe+zUvy3UN
zoooJ-z?V76L`T-r6GPVh!d{^u9uwEZ`vjugxxrmye3VTKTrJ#l>uYNyD9r>r_TgII
z&O|u}=w9WlMhUI#CB^x1^1v&6*s4{$gdMRBXmH`ew0IFs=8GVewv)Y~E5X_xhMmM=
zrPtu+(fRdB+_El^aN~>^r}Vols!o}0dM#IflV>-PtcOV{fJJ!vNuRD*J;yhYk?R;u
zQ$^x?5&amz=8T_Czl^|ff=?7UT39iVg+xTufgy4jDFaT|<^oM6<sxL0-G#VGZhnx|
zIe%W7CX{7c?!N`cV9*JpJ7ShE1!>sG5Pk*}^Ed^-X}D`x!73bL75ij$SoKW?B>`pk
zw=T)k6)8FHwg%}obaZty=l7qrlqVw<`sYhQni}Y}x^UD|ljh!xh&1PGsdnST!R*J*
zfjH}BaOWP$#lSM_elKPMX6K=6t|lfO;0NGj!K7h%X$jvAUOhz>qKDVi<ag{ozW4W{
z?bEx2YB*>?7J_s}09ea6G<E;$q^U<zp`^!jDF9J|Ky~owTwQmEVl1b0zm+^cW&7BZ
z6CAN%;rjmDysGDLbu7}DIE?yMP!3Hm?mqL=-Ik}R2w=zs1i+ae{-9VP`NcyM1o@yl
zUxo53rZ6PJI2yWT*`!_Ysw4iP>({?1Nc~5^5t#UwdNN-A#<TMb7s66C&!$;}vRcNc
zVx=RY<B+_BZH^ld;g4n~+hF5kVq&6CE5@Ioj9D$NxTXR=C9o}kAkFcz+A>rq8&rnU
zYnv$E4USzmM=G`d)yq`BQcAzIe=EscP!;6>3;vwTGrwdZ#uScF`4w+Xl1CcFOV+Pw
zhh}GsEPq`Oo)~4Tl0-$=bk!8MM12)#rO}p>R|KfvYmR%7rib2`PyPq@F~G#Cr-oM3
z4o~`8aSu<d$OO@SIerd7De4z<o*m`^$sVT}-o@doL)91DwCIysxndA`Fkpx=A#T*G
zuug_7_UdLDfWCiE4*N4l&CMK$5{21t)Y0clO+?S?pUp`zK8C>Dhyq#{m`p3fJ@ome
zgwZRqX``k-q5Roy*R+3rPh`Va-w8qK>34o0c;gS815DY(R_zNoUtRrBR6DPhTS&Yk
z4i-;uiL6d4`}Kz9B-&iNu4K&i?Q^}#zPLfbkV{fLi$|7@JM`-ERge^uD;V7Wm2Dbz
zo2P;`+~VNR-Iu6kXH0*dwExPK>wdlD%nH98JPJ<aEj0;*RQNAH8#yolbstjVaq>XD
z3cTr^Z@&qEcQ{O^inZp2o-6X4;yzRMfQEyD<1ul(4N4Alk^c&0ss6i($>%+c*%WbY
zVHkya0|Q1`k{35`GQz<crsjl}kkq-OwzfMBIsrAnM&yhI?gq%liIzF}`J?lGxIBo<
zvAfXo{CP&7rki>%<ZfrCo84rmx@B!L4{0W`vu&z;(i9gw?9j`!s5u#D%(jD2*T?LU
zLbj8E;C8m@W{C>ho?bMfxFK%bI2;`Ouh8}#5AQouNp=nn@Y^~eL0(%JLw~>3b`gmr
z@W{CjN2BfaiX~n8LvMBL=qQ-HchfoUfgceFhk1dOP&<dlV)On^JnOJOnIO|e!!!BJ
z&h6Fi&wX{i-7geLF(~r%97JO0;8qlVE_~17kpeC-oHQ`h4PIfz)*P{mPGy<g?OjK1
z$hPC~7Wj=MFRqM>bnK(N7s2G}Fk^_kyCrr4GDFaEC@A}ht~boRY$$9%YmRtLWGVE(
zAW9RqIbQpY)A8G{iPFCbI|4N{k$4zL<fH*Q&=?r)jLbo%n>VKaN_0gDb>ST^ly#2p
zF3cJFWQPcOqW8K-&x^1<aWPf)R4K;daTvIP_J_^~np{)>L@~+})l?q$mDm@L69#5D
zNkSJ`xlthq5*MW=F=rfLCd1`xMb$^1=w+kcUYPZk(xa@dWj2d1yDRK<;dSld639oZ
zJxKE@LbYAl9}Iq~17kY4tn5u8`wd}eUR;=(IO(cQsR&ZiX#N#%cuSM8Eq};PxkgIB
zr9sWaROK^@hq7x_R)auBZ(@?r>FXnUf`f%cDEU}_fB$S>Iii9f+l`Nl1Ac>S26>cl
zkTdREr_|bd8eqX4YNN>!LPj)$knttw2#Ubl#b(~b8sEIAY5IT1<S7#i3np-I<KhbP
z@;XqpdU{e+>(&zH)&dFoJ{uqz5+KrooCo6?<6d4p6I}NAv}i#s+}qv`npx(*&i9J6
zp&Qz|fuZxfw=y#Y;H=EYx2d~QkTT%NVQ;2bd*CY{ive0`0?so2EnKJZtwj*Ds)Z!&
zRK4T|yHr?bLlrx41uB^H-+nO*OYER36oOd~uxbQHa?1}lOe~_&B3=Z`%MjAW#lK79
zx_<2%h(-b+c!6M#c1aLyFSRR6fRO#`7x73SIQeqyesEcsa$_^on=9El5OD{zib}{B
zT$TdIe@AU&YpVQ>Pk%N%vhV}oWApLD2V?y+xHNz|6xqHrw|$==$V&vdXF<{cl6kl7
z-Yc570<j-ctayVOZ0{h9nn3Mi(a-afQjr6mlP4umS-dwoVrWP?H~E2B!>M@n+<#Q|
zw!EyYr?u7d>oYR|<nJ>i$}-kJxMSRk`{uXFz`x%IO;JYfHcYoSS-rxYv;K)`^4##4
zeca#rrB>{M3M7TUa_?N998Q>~`P9;~NwgWsdbY4lwz|P6%}eear7aOordtyhBU1Xr
zz3_`&-l?<ZH*JEBUvw=mH7}HFm0LN|`rg}!PrR;m;KP~zfc;fkjB@*;=onXnw~{B+
zC-!FsY>Wo0WG<>_0vFjOD*BTT<f)G+>)(PO2aK`2VrV=8*b_1Htn&EV>L!Z8P%3Xx
zg2hbsi6_TEA-!7c7bO}?A(Q=5Hfa44L0<Et1zz*nD7)(q|A_V_90FqG7Iycty+b$;
zqxa<xJ6)U-Z3(6v$7nuNJ(^W_K09nnmibEW`7>kJA#XykR$Ry?%Y$oLhjjK(5$t>k
z%;frkRu*K;iJ=TlPz-<f2l=m2!h<K_kYY)j)%}OTim#sEFyerg7EX54AIiOSb?Z?%
z;CElfMu(=Bl7ixOX81}_M>{*Iw=CDY&pMAHiqtCqP$aYR9(wdgbQ581IK?0Ih&=${
z8}*R|3?8Hsu7ZSjbwRi9iZ$Zlp4K;<9-);fCYV1tmR#|5-+QCL3ye_AvsOQ5S}?29
zHFx3aXBZ8xYfjpoSxUHju?a~NM8JQFd#i2e=Af>=T>9RLLiJCw3mTh2w6MNA4Xah$
zf!nWZr^Cv(^a9UjB?$Pp9fD*PUn4Mx7}g8oT#D~?{3ghP-L0h5Yuf$X+83P_I2x#p
zPg_}~mA%oQrKCaS0bMzf{BoxX@)hx)D&FkFM)xxNgKd63Weg-I;N5MaBF-q^S_MwT
zDP?shG10-1+RitHM_81!wC+UZ_P-6#qcM@I>Z?wV`eh)(p$7-dvL!qHU$%1|$5ey2
zm<Zr_I-EI^4CYc7zkj%(n*vX&<i_ji+B+Ax#2>b@A@gd0G^J;_^8Ca8>lge~M$d~n
zIy#>HR?wSk@(3LCSpfAgLxWZlu6*#JgiSc4qn}RQUe<T?H|^?0N}`)W+UeE{`F8uK
zC1nEy*FV=mN*l8$^u71;UO_>7@cQ6j`IK_K^uXl+(VU^G{GPyLr2rkkV6M%7kM^|>
z*eR-oke6Il2`#1WNg;yQi^xM^t2O@W)UIbTmIM(AGJs+4FHhZ#->=!VqWmtAHuFu>
z&-f#Tby`ocqR$=vnIC+H#*gd4)*#7Bhq}>^&-4tH>+GpkfnPYZ0@L4>dX-qMwlf8d
z5A`r?2CHm5F_|w2+7-Aw(^)M%-}`d9k%0F`Ci8czZ_?uC_-hBJun**xsScK|uja2s
z3!T5=uzVo>eUbuZh}&DUA@Fuk!&7zHE@=JNYq4jHtB2Bb{ooVw(6d*5eWefKZ~I>C
zL`7#09-{7;3677cuDl&+N{r!+zB5Bpf;E!^Sp|3Qupz|(Id)c_hOwu9ULDzifJEdG
zfTUJ#GXr@>u89a#3g9Kmi)ft6{pD#y@LQc5rn~WHZ0t3j-t(s=s!H1T4y_sL?H>N2
zMHouD;xDaWoaL!epmiNTMEP*bN7F6V{k`_R#+U9#LvaKz&D|ia+}`uOONV{0dQ?rv
zluF3IKoFTRSU{V8p)!UjIeXlEx2R|q2kSb*0-tN$-SX(D<!Zbhb*%n@4BxxNt=6B(
zw{J2uk!0bQXy_`e|KbD-W6Q1eD)W?0A<2wFZMBP3BIYBoUD3Ht--`@R`B72fY+4tD
zVIu1MRI!DtSG3WOiSswOR><pu8|%0*c!1UaA?bT`;Q;t?IS@b4CZPmcjNJ$8cTZ2y
z^T-5h^3yWj^~LL2iJ`cOwaSy^DEzYIk(+Lyo?LRe7g#wMdFZqPijCr3|4fNjj(*86
z|5qY4Rr{H>1H!D14rmAW@#z3IA>L4(zb|F_*8XI=xb1sssqu!?Tt^@>m<xc=qb2)P
zuKUoqtI#$8@Fq?t1kBDVu<xuGHYKy#`MIyA*_xRg%pO;GXBNpA3P;<M#O2cWRfPy>
z?|d2_A~P{}iG<KrYTV2QhrQ9r9yJ=pjBnM9b~^fU9#YIns2b+xf0XA}`DPrp<WnE4
zjZ2`t^5)XT`icWwFQ~O<>s<c`C7mfcVe!<dQ7nZ^XpV*Pbi^S#Oi|HD2SIZ#$G!fh
zMY%bGE4@5^=LB<VsDycsB8ypOC6{#_$?U5AM?1?P<5JuOda)cJR}jz1LdLoL2p+~?
z(+r$H0!tL1MQbI9sHm*!RUN@7Ls-HI4LN+FkYjnFTpb*U*+;_9&G$-gzXTMA{Kzmm
zcp;-vg?j$M%57l2m#2GJLW`e$xFRx=5$vxPlU$E^97H4Hm6@8;u7Th9w-y!tq`YP~
ziS~XL*Y<s?s^Uwh#Fy>Y9|z1Ih8|KJ9*-KDyF?IxL?_|m#pPe3aW;`Vly@LvM;Tk}
zc2!tL9fF2ttG3PazZ#qy-e4LsB_oWVZ>qKBdQBUW@M+~>sVZ4r@S&5!IHyh_`_M6m
zJ=5?X?4Uq!6<Bo`$O?45|Fw49tKD4!4nRdjXT0@wO|KqZ-IIliNG+`irvPlY{5ZZg
zv#H}DiKGEDU)cM5bD|7p&rYJSi7lJR&=-Tv06whN7VvKdM;X%}Y^&E+e?~`3a2jQ<
zj7~WC&nzqk6OcEsM}i&_Z%mvr%cA)WmeUPdtJkuo9g0SDw0;2TAgEYPY3)sV7{i{O
zbnEu*g|l?_V5=J(JGOAS&0>pH(WkB}m}?u?V2=<-HR2a<+_-^B&8l?>Qg#p#G7ce9
zukX>4*%N=wFnNd8lSsLw^-4c-lH>*9&`HYrd#AoA>M?$3Cxj;NQM%b+QRUcuRsSCy
z?;*142(G{qM#5ybw!Uy-f0OI+;)UauX{6QjyoB~`&#fn~|1J+ZM>P4A?YKF4#j==*
zaN<iz5<THUd4=seC7jAsw^CEx&(ohPnKn%rmGRMFJpJi`lrTwMa81F#IlnZk56&sy
znOq~hM-Sk9ag~ykBq&^JC?Hwa$|;llm+VWj3+pTUgh*0z8ls(HLr~0Mc^X!;BhU67
zV7~A@BD(ABGWtvC^*jm=`r35`(4|_fQjK_PH{!NLc70z`!7tICQ<LSR&kqxBm8P0E
zYxpm@fy9kB-5-SDFS`||F_HpxV{gkvtKRz@Y#gkqTLOxFOH72UP7-akeUh7!gGqbT
zj&EwR+PVnN`P742pyoTXSuwwjeSw^~prC@Csn)@~ojbc{Mvo8%Qg1R@Wxb|~J6X2I
z9KxsPrw*Gk99(-ezetQ5`~`ak)jF^E!ZPJ&lYV}(AC7CMJ^IQLDP)ARmD_>LfR<m0
zHTNTdzn}4w#sKyOC{|Aph3H=-r>NL^YApTk-M`<gy>?<?IZ+;`YRJ{GYtZOtTEyz2
z%AI3pFs+WAjQfgm7@NUM?GbMe2g5T?b+r(x+nvVw=2Bo9)OJ@gq7Nqs?--iNohT3#
zl#})C*(*BJqmcXHpGBnRT-}lZ@-~9ujSr({oMwx`sZfj(BjORt4Tkw3=8sQKoXR(U
zE^YhP(wftxNkn4%zgrf+EeyuH1%BP`>W$1NH5?!f{cdRdVcs-^kER;e#Z@|zm12*5
zx4UjNd;gNiS=RAWHyk*)=+#leeRluI1#!Ywe}$f6{*Vvf%%PE|tz|nX;X8-P;I+s|
zWRgL5{;kMv@Z(3?P(f;lUmg@5|8%XGwzO`phOb_%u7%q3|F!q#;aINi+wg5xl#)4P
zhDtI^WG*t5Oo?PFLzY64c`8JaBpE7G142>>Weg1>i3}xUg~$*YZ@l}(v)1~(-}n9f
zz1#L~&$T_<dRi;)`?}8SJda^N_G3TFdMr5$-tIoTE<xkNDUsGIZ+@K+Nl3TW)AuJv
z`2s`at(>!=Kfh%CeX@##<;Y8zla55}m*oOIbQFw%o}ZNEB4KYJ`CYSq{XqkRqJjeS
z7ai<<eFTw)KY7-jXKU_)V$rA8f!l8LyHt*b3wg2yo6<=Z#H4(QEYm^;g7AmDxQKY;
zW=e{9x$XVtAz7|yOjkm%h5(PjYeUB)+r22ZT-^C+T!sXXU$Jy?ll;cp)O&?L${iAo
zhhlI=j<$A)X*%8En0_}Q{)LK7#+S$%yss%Li^`_HRceVwjb2HA=MJ9Vz|LT049@~A
zB`W+Q@S5vHlE#%nK}mbTR-W4M;~nb)G@;Ff5DPUCiNH-;NvL-~ct23i<k<(+w8E`7
z#x&K`f|r_M*P8y|`~jT8RxJUQ!6NUWMWHi>Sn76td<k+ZNZ>`V8?*f}j;9(F-Dt{^
ztDCrDBijRM2QHu^n4s@K@cpQ{c@kVO2glvaOpMkM-n#Yj@H3E_i30<399T+XP~Cfx
zwnHY<!DeYa`8OZSTFoQu&SHOa0U+k&aqf6v;n>j}lLwSJjfAW$Iy`<k{wZQn4%loM
z`KX}4=k57hKosO{paEI_e#<UX&o*n1&=6+15%*szN=iyKp59>!ii+zwrN7x{Y!ThR
zvN4go!Vh<12ju3>W`FpZwa|3Li<;CmLqpmj^EB)7V!}jk=Lp5vu25?p{m$U;eg%tr
z{9o{9p0;hM>g2rEqS>Xmot31OUlk{dcJ`Rf^6#NG33o~p{`Q14s?-4R$`U@@6QJFx
z<s$vr*Y@qzPC46b&cxD<kdvNd-Mu6@vcsN_{YyOZEELf(ueUSi%ED`FgQ6#CZZ3Nm
z!ZZMA#xVOk5<#EPF%TzFS4966E`$(znC$L{;?f_`tlZAM?@Aei5keFxBUdxuL?gf6
z*=qA;mFhHM()hc;7I%%tPFl7N)b-tw7tCzY0@dWC6~nvpM(5f+DAC1>nrdC)PAV!o
ztfBD|$5o$Es?c>h_WAoGO1ozsG~Tf77Cwcafzd6WrTJ_B3D=@+x+eXTtZzP~X+?9v
zZz;R629T#Z=hbDU3nk^>e-%j&b|@tAD=Aqn4`l!k#r$0d&oi6GxJ88nxkyL#>c51b
zRUOO{NJ4=TCkye%(3s^K*N@t!-$=(<N!Tf>D~{C`1+?->^oy2GzGrCskZ-Mu27N5?
zvGUFCbEik$!AgT4MhV1#n8e#*KrmAwRS$7A{1e4*^bVl3hzd2KB_DDb#?|xI)%2<`
z8=*|~^h1P9LPNs=|A9M|jot5Bs%!pYFsYzcAD^BEF?Plw=<6Pp!NJ>O*JfGBV@xEt
z&1!~jaQMz)_hF$o%~*iSd>T5-u&=cVfkq!Ml}akC^Io^3F`{leTV+JuD+ATVvrxqJ
z+~2%z-S~mVPSrdK>i!(-^!Jqu<>P_#ZO_YuNhZ&Nt$C(S#g=vc9E&SnBB}Qdjzk+5
zp+}${!<>NsfZ9!E)@0tD@-}u&aUdTl<!)7Tvj^@5jiQ>G?ZEP|(fF3CsyUP*LM}42
zGG4SzQK1nDPh41Im)cXwD%No!iO-QQ#sK4GpgE7T1BiCcYuNTg@TkwUZpjkqLW268
z+N%PoY=1P?!We9f7ews_#?JiliAa9>br1S)hd+|8E!*azdJzHu&`}26-CS%xc-@8@
zLc1FN6g3Qfi~eltzK8L-7^8LMFUO`rDQ?l;K*lA7upM5o1SqIum+VYP-*0^OcX-$u
z81lw`dVfYL8rr7_eCgN5BqB$~{9g!#)g~c3+)A&pNq*5!k~G*(S`Zh2I%#F(O(#{(
zR4*+-v%$x1yXY%M_Mf1{95Qh8-+_-mQg+>EH|baD?*@MQ#0jS0Eq;rX9hZyF_Nhe9
zAu)o@!1%m9a&n(ApbtZP5Sl6sx7VB!x@?gimKhzIW16!InAsLOR`pIJ>22Jf#TLsN
zPOH?XkbN9Qwrr`(LDd5pDoQh7z-K#t{5VQ4M=^g1V{oyi?uEuEtbnP4axg%7j60jH
zi$E3z>X(NH@jECZJVPhCpP~Cq#^V9VrcDESv#g)Imtel`a1R*QHK^^}Rtd1k)uZ5e
zO8qrpVv)}6sg|$E(u?zaMLmXM56tqr(0|VUVhDSkNZN1QpiO&B!*XVy@cr8ayinrN
zr=@$5>O<E36oxUazCc-`hx0dIhCDZNM*BO+VJeW<V_4N;-Z!1!VjK!>Y@_zr(tDHC
z)sD;8H#Gas+lrCuxq`hWb6b9XAhq$?^on<S(<kY-0`w_ZEY=tK;%hP3#vDDlJjy^R
zvb5$D8`=_f+11d4hu0_Q^69}R<kqLVN=v-uN&bsg<v$a&MXHy5`zl$<eo{pwk#kMC
zhx3xr)dULXb=~jC{wro_c1)++ALHQa`KioZ5h6x`g7sx~iNGa^7y^3{8bCiQc<Zt1
zi5+~YPaBj~9@4?sKAb#>cKRcaY(jMJL35W9HYnCu!8E+xdS7;BFNyno#c+y7dhxkm
z$pveNwbC`ej$Cl{v$Hu03$A*_u2GZwX5{wG6Oiw~EwGCn!O+!-vwyCI>BP<)ct=f&
z)@n{u>@#*#<?3FHbq$8Z07Qh)jzpj=0Fu^Qg+~T_SpGGlG-u0r|J2KJy{m6eL^}5d
z%03tx_K_$bAMH8x=;9GIwMwi`#+^GJSHOe0gFp>LXz&W@_|LTmu$Y}7Gue^SfR~XF
zmLnrQq6CH=G{X^M^syQFMh?G%O6FAKcCvNOc}F>mTxDvK1eqU;vhCukxMA)3DIfS4
z5c6?OL~|Be@PJ6VlH=Y46^fNr`2Ggi@h<4tnwYd8SNL|O1hsCB^fz<S#@ko`5}oHK
zY^(=e&j2eox02&~?t-!GJ970=<NUOoTqC<L@(kG6MYKeX#G*HhTQ#s$*L3Rh&y24a
z42m!rMU1gsHAQ8QH{TAewe1ymQA#iInG^|@qicHMGcBU8@R(ZvGrhVRL=db;TKBOs
z5qt0l^oet=%I5L@5edy$zgKZO9hJ@_mGRf<FTWn`o~6?exR~!({;pQ_Yrbl*MtT;u
zJlNxBtOP#|jyF-(&(fDAJ62T8ZDWhug<XZrDT-%L>-&S<-F<VI%nRmm{Y`lZNy!b{
zyl1#QZvkK&6pC1^ze3&9efdzf2}rjt&{;6bwtVV@D#+`a$W8gG5hY9f3!>1{g(?Q}
zZuI*P`jpEM+3U3|kZLfpQ=+?pz%O%OeoQZB4;yB(10vU2aD0Ekg|NeoYqyc!FuMtG
zkZ2352T!+q^0M!}nigIroZR|qNX<ndk4Cb@_4FUTyI1>PFBMOa62|Nn%<FkVhnY6a
z?*55fKhL6&l7E*sQ?%G`!CW#E>A76h<3<6hbJmqh@93jLHP(A7Y6uF@pFd*t6C7<j
zyFR$3t*$k>d0D4prt~|b&+}Izb!ce#g(&OtIoqb5^F<%*ZQt^eoH~o$yZTW%gay|@
zF)#0dcfQn!*v8o4UykmoVlIG9P|y17Ls|&xzq<FHGbj6OWh`9lx%7s4JVupZZGP$K
z$o};6I?LjzIur_**}o~V!P#MkNwTzk9Vn+;T|@Q0`*)uTr?t*kKeQVaS%QAFh3Ig~
zFss8|wX~R6`rk@P;YH)<D)fRkmY9gz0WQdQ!STX|nu?mjU}8Ea@`_>y3z0aCQp4p`
z_!*S$iJo^T3MBz$!Vb3Zv$Iew-a{FzNHx6v`1^AwoMV$IkZ?dm9y1b37pK33`NiJ&
z0MZz=7Zxg_&8f~TL>?}zDphxT7}fEG8Uh~Ir>44|NVy&wwVQgh+rNl+e|~jq>$$q?
z+a=~~BSjfIcI1a{YMO-Dnlo%R?!u9etR&X0k<-HHU%J6@EX_<tj3;^QK|w`t{-!MR
zC->2Zk4>_UWj2kb>r{lUL*kPBdm0KgVdG+jEefnvy>FOFYT^lA@Ef4l3zIopht4A0
zM`@wB#Kd5;TkLCkp}ReO{v(Pp=0{_*YXR(w7^K|t(ud?PLOF=Z#iyi<{`k?FzLyRw
zxY$g%W<#I28#gdE_g?b}%cHrfCp&%CTazhKEQIwPMXn62O8KU3$023G#!mHo^DJko
zW%H7;(C^+Hm+$x6I)rZ4`*Vxt(V`fD%wNO(G5Hg(4gDAB(4T++aE)5dCq&3Xa&n$+
z`;=eMe)Wmk6=!qul847sE_1U}(-}(MS2n-Dz2)WYXc$HPs1!~MeNPjO&RE?0nBh6p
zyg%m?n*9&nX^INqyYoVQX{yOIoVI%@<Ul4O^Ae|~Et}#-zQElP(?~Jc;H-R9fT~xi
z*2STlkACojg~Kjx32xvVV4ATnMUB-oN6X(9#opn!`N5Xk&VV!(0tZ|iET5lK5N#Gx
zQg2aA9Lmcu%6?#yZIovrhltWWC=<vp@)TY1y=||Y2Eugj7jFtzjp<is#FirnuxaX4
z%GQcl%Iz?@=x!`9`2N-Oh|6Y?gm;J-VMje~gkdhpVZ=Z8jL^AW^Xk<l)y~E*94=5b
z1{gE?E&5Y6!>FhKIG2h!BNf#rIFefS(^l>13POK@bqD3Z4+r_4`W<>|U&c1Fpy`sy
zeS6{^IZK|a*Du{<N`I#Td0*^`Pr2qY%Ep_@Vv8xGvPMc?yuf726406!Bpewnqk6|)
z<|s<bjWgAdZ_`Hx-;ooUY4Fm~m!7sH1;ZHRn?HGVBy8RB#|tN^+Lw6PMqZM6v`ri<
zz&8mFf0*SG5|Hp1RS#A^K2`tO@t3NT(&ncPEwfEfj1@tvJLEc`YJ#Fo9{buC>|voS
z+rBwX@O+e^=mFs-MfRjoh%K`FW6#g_-q=oLAFLlS!5G4}55BO^)tM~*B=L`064Y_H
z#8H*}&8=%vTv@s2hJ#2S?xioyAGTXdYH|Az#HMy?E6JOif#i9MbYf<T622C-m9J>>
zK$O_fU0HHw)bz7hlr<d!x2dsMr?h=-T0o1y-cz8Fgx$a(8qhpzYHN{*gS2p~t{J@M
z0*Iy0?Rk9e_Wp!$w?{9lIpD3vy^$we!Jf*Tr?Ek34hN;2Z08?CmN&KWRqed|GM4lQ
zwsYan@C;bd)YR0S{v56DqUC{1dCIm<!Ik@GeN?YlUDQY?ltwu&@Y9RN>vn4EZV1Iz
zg<b)4c$M<}6!z>f%Qm`KX-y3U@SM0fC<ZM)9rmApI9c+#cHP#}(y2vdH6+c?Yq~89
zasps>q2gp>a{UP7rZ3@<)h414#^MZyVMLP(X2vLewQs7a*_V4Yo_ycAa2^pH?b>>-
zw9ID5i}QmYH~5J=%r7idKwYfXAbzIzs4d<X>2qtd@ggOELb{$H^)C(7evsTKVcQ@}
z822V&I^TSSN&p7m4~>ji{%+JX=`A2>39SKI^97C@-q@fsO4VJad;4ChT=LpyKFP<n
zX7*09dS45Nqs6yTC4SgbG*82CeEGmu0eZL$+QN(X);#!9rA<Rh(0~&rdRyMT%K=y`
zour>_f<dCU60C7-c~&m4fH8KLDGkjkxY^4yX@!|7-Lo`%DAW>Y)OWacd~^ln6Va;g
zA8T;ZHg42OY(J5cb!?r-!N{8%pl%8P*c~^y$llu~(e&-)fQ5Qx>TCBwE>io^q165U
z9M_v|?mTJ%;c^#s@OAv3tZco)0_s$Bc%d{jp0_Sl{c5VCy03*KDu=1>$6ivFQB45F
zZVM{4gRd93kv`+1Sq~~!(#@N|cNKRlIU9P95;N(T(3;fQu>Cb6LW-!72Ltz|IknDK
z#gZ&by$etP5D^i93hyHDGYo8dy>!DBQg1_OE(e%)8gr=78-4n8%B@>u_(h;#?!nl=
zApT-N7sMlqX)?;cyoF&W4`rsF{`_<Zi7y5kgHTGu?PvxzOu%Bq3lz{L#>cawvGZD7
zTt7N{RxTrB<Np5sT3frn^ugA7o^WK|DBA>JEm!pYtOFM&p9d|MAI$t~kaj_Lp02bR
zduEG}&^~geJ_cZ%@O|ORR>60(*z~ylyDfAk&q%?jje){)g-cFUQc@CAU$GUTy3^9~
z^v%17E)%ifjXIjZcFte80NVazl&4|aQ6rI;FG2<iI;Q&N33IyH=X=GgYY*irM2vfz
z<XL!PmM~0~oUB>}Ip9H2YVDmPEuOD_+jb~do{`OsOj?w(69ylP(0x(g0K^Mn9W1q_
zCFbycMOL))N-0#Ee0`s5q!ZaSj;I9n)+nnB3RF)RPLiIQA9+M|v{CJz(W$S`3sH~0
zaYJ)iWfS2AYcW#bgsttwZt*!om-2X1g@fI+!4FKI95o97;Sv-Y3JMD4K#e=eS=Q^4
zEN-o>`I@=z`OE%4-Ge*#Y-6R5uBqlIZvV;YHbqNn@uUqFY@^_JEqq&9X#<TiK(Q6j
z(jnhYtdN<}@bH*~4caHfGRIkab#2@8wW#q(NlAg0qq;PE+|A7mr7nagq5%0(62~iL
zIdYb$GF`oDll!r`Rj-A=u}^_S{5awxfQE>D!79a&H4Lanup*BP3f)Gx53=*}E}^^?
z5kWsOm#mQv>It~OXU?4y?-d^e?E)3;oo|V{%FqTgFLMiv)+|FRHB^1uWyAnup(!}C
zPB`u@Y|Oz-@B(nL#K0sXP>5V^*@15UV9zG=;6l#vr~Wi*8$t(8DcvP1hqq^4e%YRl
zt>)cF6^y;g;j>D<Kl;rnL!K8wJG0%XQ_9eI!hQeX#(=AzZTa26q=5Fxe}qsYNUyN8
z=lOSARM$v$cid^CusQVN{3nT~h4RFCb~M4k0G5`O<(OpK{q@%Z5P1aQ5jQhP(7I(<
zzn(S?gE*t3Un3SkmbWvr*`P~fMg-B?pb*(_jhA4$iRdz*#fQiKls(cVoRBLmYL_!O
zi7{AucZNXT!{aVzL~krIkdR&dh3VxGg#%+A30n~&6J%`G^at6!e$it4jyLV+Ye-cM
zYNXL0xxMhy^vc<F-=v*rP|c`_Rtwo###dwWhk}4zLt+YgIZjBMUuN6+`-&7K(a`Y#
zI@iJ5ihrOwGc|RVj*brOFB}S3IiBYLddsIRwnVeNkRYi|G$x{3@0m--nckN)6H-ZN
zHya-xY|e~9FRft$W^5+u-)~@k9NIZ*J$L%H<HRj(@q{AehL|9X|AEeeLBw3qB4T1A
zXbZp=>U;M?!BYY<1MUI58#gv>t_9@U(P7@nB#FjB6&0&a5h+Ilo7f}gbfMcnhg09|
zTu9@9)n*R%Gt}%FJ<URj_^S!?jREW<)c}oF@V&KvRv(A^5xi%J=f)0eoMj$aTjrQ@
zBl7kDMH)_WBbhdWo-hTs%E}f&2_<L%@YkR(9NiF#Y8?u`laRcGeZesV6vbL9D#lB4
zW}jG}t+C!~|E-b>Q0PO%6R%5C+1}1!(CtV;%oQvJQDt-#jY&sdoI7P>(^E(F#*d6S
zAsD*wD`&oxc)KPC4<t$3Bl6zUc<;zfTf5Xw`KP?Ez|tDuy&hr4(ziGwi!Bz?%lQNv
zEOB3uO|`+yn!`DSgrb*M!rK$TwLxg_&U;NZnEVv_)SP2^voywUvCusn3}1}mQ+fYY
zlst7R$|Cxk?AcSHTTgO4r{v^%>e@Y;SG4vICsj?`JsR~lFL+@U36cSM?8t;>x%^vd
z3ghKhca9Vn7o&RnBFnXhNVnK_>gwsmy*<>hUQ~Ega~Pd*(0Ay{x2`~mX}C<+<peV)
zr;n77m;9U3gLIU^2Q&R<$J0U7_6CCX2zv+M9mt+=-}DR&n})40{Tq{<@`}110AWA4
zR~l)Q{4MN(_A#p9!#N<?)|+$RC{n~3UrUy8WHp000*KaQq1h7QX@(8wCmq+!4hxZ5
za?F?v<Q2fNfAwUS63h28bVQuODJ5o_`U|&4*R`$DzZvFUAt1W(K(g$~uF|>50GfTS
z5BhvZH^$biIo|^<6<*$QM`nNLZ@kMk;s?LJv_9VS*?2kZ_WizjDl(2E#5jRwodf$0
zz6<B<1`HiqEc^RW54jByv4Jwg%OY@Z=xza}0VO}sXaVei8q~XRmw3@ap8>AY@%dj(
zNjZHgylA-U757YrTc3z@VHV&4Xpx-xDIa!HHW}^;%EJi1Ko18=Mg>WRCQp<vQ?#?j
z1~+l~Nv}RTdYIj(XNNvQMNd>gp+jv=D%T_Fz1q|oTS%34Ecdm%x#>u_VQAdE&89-J
zh+FaOAObBcJl1<<US<*C&^~xwNbiAlm327hX0feh%m~k${I2SZW4pOYFgak77ncm}
zFrvWQ!hCEaM8-uTiS1kc_}+XoAwTBRTMiRvK*L>Faff%vgU!J>MzBA5CwG!34^-{s
zmX;ly-+L|y+5%57PbXa$NP5m;&ogH(A*{r^@3z2Uf(?gQ1y;?+FNN@LQb@Wl+uAAT
zChpuo;R22($OWH99{u^^e_$^SMf1|DI;t$olHX7s1hoxD2XR*rItpfIz2UJ@dO%7H
zP`xK<A~7lHQ{GXt^h2}r^IH4%74NZY@pH0ZIK%m{v-WY2`<ytD6s4;C8ZxgDRNYb+
z1LD^2UoXbW!LmQR*UV*+?Lp?ftdl|gZOf8R1@BKcd+3;K;ffBkw0#5>YP=Enr97m<
z<F5Wdh0EuE?!fnxz^KmoR0k0YGcyRHmFurqZ(l+N1kKPuCEhAz9NIQNGX@$!XI=as
zIl3J$!S2E4NoandauFSDAb2P#D<c~NgT@a4`pcUv6c|wWtGgly#^n3&k@JLz2TJ>(
z=b72ug{i`CoDua95D>sB=xJ+{_~X>YFNiac5S$VOk@`D15L+U=+nv_L1)VBmObngk
zLe)m%*mILkuXIwOg|b6^BEtQL(UJq3OnjeH96!rkZWVo8zQ>NiYd`mMTG&`nA0RC9
zy`@al?4j7`Sj}^Gm}NaYD*^&LDgC^|?7MTCoS;L^1v#MOS0uXBHydzl?wdZIs}j*%
zlzwO%rq&Mj_7(&!FJTq|`+I}mDvmpH!Kr`(8tg%zDwv#;uxto|UsOs0SS7T{=I6^V
z#pq3G5quDT6n&<qr_p;_p1;R|DfERP$ucPTy|L}xmlbggr$e{V&-SqcPXL`dhD+`z
z;!#3h>g{+4pGx3nxslkcSLN@H%%jvg{`>bl>bA9kRERBbFY<CbTbM!!)OA}0pzhnM
zK`H_QRZUF=*vkaNMN$XDeURtkz_USQr1I0JLTqseY{Lj)F2@e63L5pfqF+JH6C)Jy
zD$yNdcR<_4DgTqRr{Xb~3uKEe&Yl;3a&)k&pkc(4zN+sls^N&qL94F!`F1@y`8kRN
z_!rm+`tvrft{B7B4}*K@z|bE6y<7@s?uM-qe}6Hle856E@MQ@<A(I2Y_HoZ%ZS6O3
znb<E4QRC0Hj^u4%yVx&(^~Rc`3@-DuS6ZE>*D)JOf~*8*8#!Et;PcPn7Ch^qF#0fS
zRpJv9x2b5D<$OXly9C=hq>7D=O;9TeizGVdu`3p{C*9q%&GJ*A*BGJzcqwS%R}o$f
z`Z^F`p)Y@Wu&IBtQFY*sLdL*LN)E#kLNn8=%Vz+w63O{+NFL3orl2$h$z`YHvhmZP
z=Lxnh(ju-kS3ID(3L^b8qijMvLoT_VCbh5HKd;JNm1}G{Vo->YQ~EBJWF42Rcfo5m
z!glV<zrjzB^kIz;i&LAxsMXaOgRcnA(Cl^YROt6=o2v^S)+AXlnqRqK){FV<?tL}4
zFovcR;b%*WEI2sms>fc%xlO!^KooKQ$9o$O2iyy)tfNB2rsy@Qgi>6F2;%i&)n#(r
zOoV>8*Jc23NTMp2TWuGm$YVjvH)T&U^9908AzIPew2JQmHUV$~U;|xx5&1ocQ~)BP
zvf2gdFw9C5YU}`elu0ey1lUCzWG!8lqav&nc8v*$&Y(OC%7ARZ{1i6g#eG7N4NQ1L
z4fXYyltU+W{_;*|g)LI7W@GAi!k{dTngAl_Krjvv<c^lp1jSRBJgKgakvgGpg;yEN
zSiv@Egftuh#o-guNqE8c?%5YQe<DG?55od4HB|TY_s7M>$#EU%njjRe7%}bP_4!5+
zH%VF7k0@~*s8Cl^Qv>}BKLo%WntK>BcIi^x9wSVA<lsOU=Wd{R`(WlLXAiavd^p9U
zT|1;5b{Lbi4;<L}!y}UQMHSD7G(~13o8uw(N8R2u+uco8t~vT-UK6*J40Da5Rc&pb
z;_Zh>qX}`>6DLj}+3PBDThFILt{-qg<^{+w2NL6PamFVDsWar+5Q?*g<mLT>%N=M;
zCAfmH^w1kZC(7-EMF2$5P@%-g6vROV+xytD@iZat>fy18+7@JR(mdO|DVyhX$i3|d
zkl`%2xw&;GnpaZr`0JM9#5633EO>g-q<wO(wTIUc!*PZQAw8G<SfOAmY<zb5mFiM4
zT3ZpT{yE1&g~0u{N^e~{l2Ot4Cr@M$ZiY2FzSvAdLauNUijKfO-n)Z}Q|F0t72VZr
z%|?g$t&w`P!Ek=8KAVxo_%>iX7nE~wftSP&J*hPy(;;!gAMEN3$sW&uX@KrJuCUqD
zg}2~uE`VXSEzDpa@O%V7@8&Xr*kHyc#&<({d}6$JFUEqv;~*iQ$ki9wbkpxe`_I$^
z0{cz>63VWk<iM8Q7|*VI?<3Ab>#jYovBxkFU5GSLr)jn2M>WW53Nl&0ksKfTo-h;P
zt%FmHdA%2(cuDWwa_EU})m*bo!FO5G6vjw={aThK34vnJEj-3W?=SP2ge@7hIoNjF
zlbk+3J^8kL4e^j=*nzWb2k|;7{9!YCJa%n~Bp%>=+`I2qD_58ScuN!!I$EB7%Is??
z?czKx5_h>VevfGU1DGqda}GIX`phI*=awvN4AJ<XH0PEdnq+^3ZO7nAsS!s68Rcag
z<P@V8*V($GbWO}LlZul)`LSj-ik&{JKmVwwqxOZn#9Fj@6EnNI#$o)jSa3+ei2kjx
zIri?GcZ#GfqB1~=s2(kxUwSfde#32QBJ<eKj_25t@mpKpcg8wgtC21I%?Ge;NgwVX
z*o?Xf`)I&Ie~fDD!($7rf=^SUKGAKQ<q+7|9>{jg(PqIM(Fc({jqn|2Nz#9Y@!j#d
ze<lM#%-dhk@mi2sa>=W{n<7l30Dp7uT7CgDFrkg9Pd4gY)pvQSx6hSO_rheSclOU4
zy3-<$mKz&<{16}l<}6kiIk)&762a4nu)+Xc_&F=&731QGA71oyyxm+d&(9_6<c78u
z_J@Iyi0&4qhCGnSQobg-QeeD^1r>^OK}dkPIB4G@JvgE+vUeXPH3h0;AOZcv{K|Lx
zv<Z{Tv~o*!_-%V0s*UmM07U{402byuppeM%vSDL5?Fakb*>#M^Lekuz41oIXuFN6|
z;x!tU2qwHkwnhwhep2*=w<hh1jA#<2nv;-7?rZC<woXpPz%>$rc)rxvyWrpuVS%+w
z;j?F_Te6zk3yu?AsnBYFse=O0LhnUBV7CZ-B*eG(>u@2o!Hy_HE&-so>_jMTb!r~x
zC6?NqhNEfofz0Lrs04zbL~WB6oF~luNxOkWLZtv7kU)0zB;M<mx1RxOVZ0Bz5lQV9
zYTln&VO3p_P7~kKKfAWcNfyEKd48z=P3mwG&r><zvd^d*XUP^(3L<mWKyvZn9GXMW
z@Fv&}kf%a;Y|q0*JbhCRMlvfRxd+V#`mZDqb%vVmye3k3kk#Tnod_%KPTcZYFb?;1
zAVkKjTugnzP1Gr}5jU98rm-OuIxk83m|$t$S^%qM7*<Q%L*?puCccNbOt<}hygr!N
z4u4;Rrgjt<*!%A#$^ufx|G2U=a2Ef^zeoJ{2Ub_(zw7XSa2*V9c#?1~{&TsCt8c&z
zLWIGHyP44lkBgHt3A1FbUCTI}1IZ_Zbhv=MBaQ;qz6Cl+2)}p4`@@2oa3}H86Gp2{
z7nLc#-EKX@i5Tn{kMroyBf~BzDLD=>XUE$&$ZR~}rM}5*6%vw#FP)VFZ+LuaO01$6
zXDi+s0L#E+M0E7dKr&H+lXISWS#+G%RHHr(D`gdrBa0C@ylB=1Ul7p=GBEFl?=V-E
z7V<SfX}r8<*cpQ74Aw|33y4<CCX);`QO2Bx4{MY1aCZJVocN585e9aH5prL>y2}<u
zU!3vL@jCZu=q#`cG#FT3#N;=VD-e1Fc}XF&&l91WQTZO3tZO#32&|@l17$9ODMdOD
zIf=4yAw(1CC4fx!=~R_~8{)^DU0s(;Wh9rk_tw`3Mbt@5lLRx?_CXL7lx;Kf{f0u3
zE8p-8ib{62woS;a!6+bu*Lu%#(Kk*<Ni){l8}CHI0fY`h&p7F)nHBK=hsK%jQ9QAF
z>*7ioxs`*NDJILGuqvWgfEu8T{rF0THvS{rE#ub`kBb%8>^1wgU#h7V1jT@uEQ$VK
zgWHOQxm4Tbg;H#^m6S5hgo5__U^glaF#g7^hAcXL#5-uZsq@b-UO_Gk7nYlQXB*%D
z_FIRL!wP&4h!*ArV7Rd?Nhl=)9|<!$M2G@`5mKjk>9=~{nsD5Js02um8Eb{1&;StM
zo<}oQ=>PRwADm>NVkJ7ft&Z+L4_AsbG(t2PjT}R0Z~FiGtqe1bY!fIYp&aLcAPu}3
z6*M!$<SPRLg5cZ@|7)lvrXphfLt`GRtyFat3;UfCA+AXipd<8ZKEiWdTU{ceO%~I0
zqQHm2XW8@U)oz_&(Og-Ovb!ibqs}Xec?#Hd#5m58Cyhj#8tT7Hs$@4*ssZT~pB*xS
zKhxX&g?LSWJ!K8A*~Ex<Z6XerGv$EWh#Jr6LUrfy`ii?h8dH(ZSpT!=@vLANpaBE}
zTXHQ5e**VI?gig(`N&2c6{Nadk`9NA_$P>P$|~4We7WZWlel%cKY~JJ!{BqW$bH0U
zW-vVvX6$(T6xBNax%R|m?GQZOH5GWHEK1#j2ay7v`*#P<L$=@yVhw2RBB*(2S#k!V
zWrz#Rwz1grwB7t?`}kTR{a!~;-;P)a#R8pIV8@~``3`iDBtd}r#zsa~ik0%`S07g>
z0HCg6EdiF{X8+xl*Z+)lcVi%IdwX#%l~40O`&`%rF%aPTk*+cbF!z^;quQP%bzDnF
z3v=$q!ZiFg>8!pv=GXAUruyiAAp~pwd5nFoB9WQfR(F0VK;ve-6!sU-fGr?AXyk_G
z^_1OYMab&z-4c16*j2f}#dPMPx2~MT|M>wzC!{+VtTCLI=sI*<zlpjx%yokHn)i7D
zEdAXmoEOoVOS;^0Tn*q*=qe<>{D1D`4Cxcck5AT1AuqYNL8nA;f_g9ZQ2c(ZNm=As
z#bc{og6QQ1ZTc-JXm~~mB+0q`zUttYi2iKB-a$61C-e75$8V6y`Y5#W;_C>xfC(x@
z`XGz#C}E#WUHOYTLA>5BF-XQC#w<jhh|vT1ETFpt;19dgmSu?Hy6r$x5V{gIC$Q_y
z_s?^S=qK7ZINYDPelQb>w$b+2#=$FRA;Zy*)^vX5$qdamQuii>Z9w{m_QZtJjrh*3
zxS9WaClPFd4g$2L7rnimDE%TO06BqZS;3zOvi`@IaT+k^1EFE5dHX9EiXa#2%A`=P
zE}ZfvJRR|YXn?Fk$q*UyWxi(oNJ7Q`_Ep+U>Kl-Bqm0!?9PG=itw85?IQya22c+vr
z-2}_(*%*wsq5b2mLs+5==>iZT9k0v{-igr_V8+Lp=@GAD53xPnQD*s$P8hHiAFuz$
ziH<B{9BRh<B}9xkbz%+PYYAfkbMGv5!B=>7Er#|W=|r}QJA|MUUet|)N<LD{KEz)e
zmJpGu@?J1%Kz)QEF=-7^BBU+=AzV`2WBW4nBjbI^)%}*wCX;2Rv0_@{@2^^BhVzH&
zIZ7;55WyNTWRrfV=7-`{h*}edlbI6~J@osS!dSe<n8d{R9suA(i|ol)f4{M|5Y868
zYb$qrPXzl3?Kv}J-4cQAC?yf^R&*mPJJn=r0<n$j*a>rRH=L343|t!y=x#!_2TF2=
zjs$bFuRG57>+0JnTVJ1MwQ3(lX)p{H_puu!?ulx!cwm+@Kd#C4t`A!I3DN!6?RiKW
z<2O4O`l9y_Cs*8A4c!Q5&irPmcd@ZKgx#1xzY`QNg4TuR{Hc^Ov>4-Mf+05fTi#b{
z<pf7q(K#HFSoK3?r;#SZobAC-$BAkrQ3a>I>;g#sG4jE`---o#(1Q~Z6Jr1*0%mgn
z(po(|hq8?@q4WtX8<=1?X1r)uL3IMzmvGW4kf;+Rtfwa?n*7e;+X*6Q2tTBpG1<wg
z=jBTRE(U@J&6i>2JvgQ?nxZV1%+BPqukJDJ8b;B4X#>NRHEJ40mADBL6rdH<cadmU
z!ww>FOb>}4sy^{PD~6+v;dF?$i4-RX$Jw#206Y@PE$k9jmWTj8r0)fWZvk)-fCb1W
zpqb;~223^WCz=nSZgEv$ukLO@e#>MF!62QrVRpD<&D&*&J`j89{e6&{HecbqZe{-;
zC!EnHv~3%BV-AhEflygMwDicKAz9)a`wvy$e{KnzK$Hs!CPc~5-|`D7AktG|pT*a8
zb<POfR^Z$djohX9CInq(8;6EJ;;m+MNm5F}y&`Y=7?nv{+0auCcC^C(ILkA@jb<h%
z2@RBqY6z+UYZ`&v5oM9h(%;sQ0Y}hOwyUcP`}A31VL%sy>cYqqqEjrX8tQ-q!lIEL
zkBP3+U~;l}P9t<da{2F}bQN(p#QgUQ$SDNK4ZDJ&V{EGRm|6k8B|Nxa!3)Xd*j2+_
zM}vpm)&^Wy_u33rJ)7mc4=0HJ2T@zY;l!b19zC*{yc)pxir1&<UR*JRzNWie+CStS
zl`ph7Mt+3%GPkhM2Ag^|LlhzA5Md!c5>DwmTBCk-l`Y6z1Z}klAFe}G><u#k1|*0d
zvq-LD5m_;DS>F=X<GEJX>^C7qVp9nkurXN@YThVnp=1C0L6b14<?V7f4BCCf;rGW;
zOHmL}RD8~|#YYFB*a%AGhK>XENpWb2PX5R4l}KI?<ykpGgZA|2iE*P~kHe~v-w>lo
zVTUlFM*Mc=rI+N)v&3_*_`%-=MMXhB5`RA~^+h0|DQ6!Y6O$_MYW1%txQ5W%d3B>-
zMuv_-Wtb(rB(r}#AP>a6psU>5U^<bwe4ThIA$!8Ksx(^KGpVH?x~?H4k&gxnkSfJ~
zj-a5c`>#*qmdP>_Tv-yUV2ixKv9cK~^mu(N<VaAqMO(30SXN5poIy4b3LCv5mUt5z
z+jPAY>dU?{5*AOjy-|P>$e;H(aTB3};oHMH%!O?SR!pkl8mSAS2UeG&1YzE@lg&S1
z*LDOZS`rb{9N>Gstq-o*EEy-`!D3H<xU_GMDAy$&2N<j;aLp_O&VhhS{|zyOYZxEM
zu6mVgFHjOmP3=Z<a)}QzxlhqiE>S^#j6EUnL-ihEx^z}h)cr7hAZ=PZgu@s^!g?&J
z8V>o7wAXffSR&(WlYc^5!?4$kx)T2cF+!;DCd<3>vapztAHgc{>~>2_<QcajP4bof
zCyF@<ydkR(nh(>Hlf&R*f(6cCnGzo_2L>Kg{~WJO;Q)rrz0-x&#aLX+f5J>t@A|Z<
zYu=Z(tSo-Y5O^RkJ(p072?Pq=j6nP7GnYB%vG?Tt6032zb~0gNolpqxg4ISt0}rYr
z-^@@oMVvMIxo|j15Dtc5T`*JJ2tk)s7ZKq79aj5p!oJl1JDm`Hg>wqx3M8-aXh8l`
zR02LXH&4oiRgp6#|MPw4R~$(hdi@a*0(Sa}az0-W*&R_Z!A-88MIkU6_&aR9a1uGr
zK*dMS@J0s8vy5Q75UCkYMBvKX&tkDG_b*9Y3<9?)Rbi#8|Kuer2r1xG*j1@yvMB#f
zS~BdWhT9}$WG0iUfsb2x|7rtJ1r71(dfWOS1Oh8YTu57lUc>yg+P?f($SN*7i~k%M
z=>(=lyN(ME5B%Q4_l(eS2CUqA)vkk^C0weB8Y~hly-E8xSX5s>KX%n0sMVkrRvQx;
z6N88H#Xj-)x`=8+H26}hSui_dC}OV;->iULfQCw&-z82HsYG=m*IJLFXJ&I*>rtXA
zg=+1NpJJ1#c9P2i546GW9E=`^&nF7QV1Nk^fYW?V;g~a;(3R1ii%gLm<mVN$$$oRV
zZTm*M2o1Wh#P)Xn8k!GBjLg57H<_#J*tTdD_4118TZRfTi#fS5Xl>pb^2^Mhnp`zA
z@ohKT__qflUS|+C^8Q|?O{F85#W6UKZ?YfvA&pC%S!N8hVN_w#>Q}7{zU&L{1?=>`
z)x_{Qa3&HGGOgV2R}D~*DqhieX0QJ4!hq2_6{hel!4&L|AyW#Qm~BSBff%-|tSsB?
z)=7M9rG%UMv1j<bO4e^nB`y~lFQn7kRL-H0(1k!YCeU-S0^7(J*68nFFmP92<hjsD
z6}+Q%ancL-^GYCC{WXZ=F1r?<xV~>}gb5=9b_7QvX!^Sj`d5_vrd@urI&%5*l7vdq
z-pkEKO3x~hIIb=XSYF`cz*oA{+k9|GGgf1&Y6a?c809i!jafJlSe?faLIm;9dd&Z@
z3o412&HbNGnkr5cw_9BrNv@ej&DFJ`ZJN`j1jup@I~xy)wz0*<#kPEF%vV5QFzm=@
ze(c!Sjt)c;-uOOrFiRXC2*rpqYzKuumt?S7q-&Ok2Dr%kIB~a(Zx%fsRxw3Y4OH<v
zWM*a>yOPA4kU2v6P6eVUs}~BY5a0kaJOG?+Y$gzmP-6LkY7>;8AgKlo4#Y>r7`64s
znH0ReB#jiD^J<Z5ir$8_a^0O>vv2iJM%0r3{lkA30ej%Ti}2q?_^&DW?<x4d_7oiI
n>|DgddFt#_H~IhB+y#>2v$gF9HHY^SCrn54;J$|%Hs}8rlSiWq
literal 428874
zcmeFZ^;=Z$_dPs{^%50938fSyL>i?-r6dGVQo5Ctu7OdJE&(YiX^{r$Qi+jPk#2^r
zVaOrp+2iN>{`UL{?{g`R1I(OrpB-zhz3vHmq9T9s{Ppt)1mdE?BblcN#DDPc)a!F6
z;U5;=SyK4tzgLfRoDc~50OH>h5wkdR1mXrlLFR$Fd(z672U5?aejR7e>J@GGrouU`
z;HzJ|pW+Y))6@H>PShK0;f$#ZIhRh8KftBioJ>F0o_=oH_q_IfbyvUk=cFcST(&P4
z8=~zLdcP_}-%aS;MBkSFm`$mteF?kE=waTSlprFoJx(|0<kM*QfIE(OI&eG+=@j$+
zzlVtRqFb*|{CoVK<0Q@hJ(<h&zo-7U62ukwUrhWj75-Ng{?&s2rNaMG;eV;{zf>Tu
z!2bZ!{|{7@#crKI)Qt^~jIcfac-OrBLw0ud1K%^=hZx2Q;{f{cMc<PMyq1-%Z8ER%
zk9?i7(xH{JlIw4pE{WxrmTn|VvLjyaCNC{5<)nC8&9=u#cy0~aHy+7FFdV5clGjC?
zGx~PWk$Sw9Q{=sB?KI!rWq+HSTM`p0;Ir<_h}S%acoZ-KKR+^Yywe_YXH%Es&YebF
zn7y9!Z&_K{W7^Az$<<=d?WN6bF>H$0+Dm);9{W)*Y&~itI+gC#w-eaOH{TEB0V8|m
zM4Xtkb=>R{N_FZMSzTQf!_t`U1_qbL>(XB_2&&kjxo7paS5-=1Lt|Toks0w#YPN2(
zyY_g0nR(jRce<%oR?S%1kS=;omYZ6h!DB|6OhR2x?~wST_uIL2N@pg0$qY)(6ka;e
zm0GU+;jt2G7AR`|;-dESDZkxlRgce38Fq{B;r@Scy)Df_SJ2_~BjYLc3r-IGk!oA}
z*8`pMFrBHbqf5eb@umzu_$jw7niGiQ+l|NDMXD0pe@mnAQ@OaIOVm^Z7Zv25Wl4=>
z1ANQSZOjEbdg3G^(@-#xUcjPrrY(Axo}m&ca;DCw+C|A)@2D2PhiB*ELG8`P!4D6(
zZSmebI>kGAG@ZeCwBXbu;r46I;b#ipS9|1&RJ!isT&-q*%S~!|Z&T%X-l<Q%mptXk
zt{^5E|MvF_n*DqacapXzu*W-dv%Z%K&8H<}tk(ASH0ha(*SA#YCJ*!l6TR2JpCxSN
zNO2i9)aB>fY%Tmo)4L_vHz00!uQeR3T~QG>ew9jt^4Ma>BC!KL<c;3k;ZnzV2TW`I
z75TGR=94t<Rr0io8kP%d;f_|jEca_@XxzJdSA1vCl-_MYjlocYwPCC6=T#XQJ$`N<
z+`KTZ`3h>U!|)^ZIfOfp=gyENEUuWzeQ_uAt5=;%nskKFO+2lSg~puWTW+J{ga3|7
z`-#fM`x9{%o$(H%4(P6r_wq2U>FMbZ9rGWp3rhrP5t(fzXa+CB(Jo<<)L~<gdre=B
z`XHHcc8tTy+FD6TsdkVAPwfzOG4oeJ<+$hf)6{qG-gO>s=vg1Mcb92a+Qek-Im~+F
zHl~HmBC2L_@mlocxWtLWxd_xDMu9Eaxs4@mr3w>nfAEF`afq4gOt?aB>bhFvBikI{
z77}0>io>9>6(e?jetrc71-qk8J$M`@FE5Wdy{_&MZp{8hT%)+-%+DYHj=)FU7dSXL
z+RgYAlvx+=wzRaIK7AS<4&`KK&a8TdU^RMkRHYU^`SuqXO2N&Z`Zefs-^M10EeDNF
zwLic`pz53#|3I2mCMeHgrN|NM2E1N7D}nfRL4S{3EWPhR^K@TWM=TeuBoZ&RemG>a
zvzU|WGnZi5pRdykH;jZ#d_9mk{MR2NYq*7i0|s8JLJhdEKw)H&@J<sSt`FZ;_B%s&
z6sbukx)e5+;=$73s3g8&0)J#=ih^lI+4}86Tk@9eY8JB(u#JS@@{IJ5lY$1P5R>|B
ziCuCsQ-VucGFL5_m_8;ZE-x*`a_VgOG9G@as1RhTiIJ=P^I2!&uFoN!EyaDh`HHGI
zB+~d&o|~1$-lK|Si&*FKw{PDfEtWTK?j`O8)b*KqS(cZV)4Pp2EDsbBwvHVz*VH!l
zQGSf|_DPP9l3wW_9`80bu2zh6i!SFw)|_~adgJf!uaT!|J6L?vKx%vGspCNCHG$yZ
z;4fdk)VN^{iVN<<SMb05lgZ<Q3n{AGP(+7G`(LP@jnxeo-}s5b|GXJ<iuZ;__Txm?
zDL-n9^V9pi7$?Rc|2h0z5i^tBkt1Cln#wDDjM?W{3b$vS{^>@c*uCQ(d7)Hfrw<o*
zjetRX+2KM)M2e`(7Y8H6H?JRGH1hfjbg9XoQQJDD=8`fqow-CeI68{l?$a9R>su8N
z=RQWR2#KFRZ(^=Ly6-+J*l+}eGCx0`PR!LtW+qz0*w}cZUira;2VP!Y@Rd8x8Y<|l
zBg7kdWS2$s$;y|#*{I#bF--xbn&)v%0~=(E{4KMLQH?_m%_CBa#|KyxyqDY1%aHw;
z!DSMMu3U#XRm@Uek>qBlz{H`DA>v!Dj9{XEt*foA?W%QAy{4Ad!1y==x!772W@EM^
zhdWr`b!qyh%f%8im#fs&LU->ff4qB}2^Q6}u@Kg^wA4}8^0cbd(UzJ#ec$M)c$F&B
zLixh*P0ax`Gf(RZi&D7AT)g4Yk`^S?pT^DAA6}t|Gnwu82K0Kz$9?A51bGgRJMWaF
z-IlD=o!^haFPz0>Fop&d$$2c&YR!hy(d-&rChQKo8+UKqfqS;UT!cCZXFyDHSy@?q
z<TGt8HSd6yHu>H64hKgzj~&u#pNeGSN{AMk1Qh}SRlhU5Ox=i=)z=^U?$t~`FNa$u
zs8v0~R&7<$h_H7bpd99t-54By-h_4qtJ=0JtS~$L9F`sa@8RL$;NYO3prE6p^YZ0O
zc)%Kc``@APMcdlinmew;qKrOKM^{%jCs9Eio>|7fKNN6AK8hL|_aCGhv9-|6shU~-
zGIO&n7D^=>Q^TuAaE-#AsWeY0m0~#)M4aXryqsOS&m-zOY(}d}pm$ePxb}U~xOnkm
zTia9lgVoB34xUEjCL`wAfs4b*SG^g(`xy>G8Df;5Yinx{_V-sH_cn;Fdv&;ctj1-;
zWk6p(l;(Fy01H`uUf#jsywn7Q+s0tkMzc`&bi>YK)zlPz>Szc$sdr~QAG2I2zOupF
zos9h3YjuyU-}21U)kA#ybql|3H*>!oj~v%ZSq#MEtvU@$T3V;mtCli_SEj3=@)y?c
zJhzS_L0|=;RfkY<eH3%E<NvObUR8x3G>xc-cHeXCak!Dkm)%r)g;cAR+Ac7*pGItF
zl0m{#oN&0=;^(lMYmc;#+C@oS-)+2n#X=Aon9rh;VY@|HS6A2L$Bz>QZI`x`m=e1L
z{~dPAPog<ApFVwRV35*d3fFq)-_b#xA(Qi|ydY75Mrm4)J5I^2qP(0Xmy@wC%0441
zQ9)nHP7VURYeM;p?#5U8U4@EfO`N@$eTCBITvte7q;E|_<)<5x!t7rLT8S{HzrP<&
zacikB4|+|0{t8$9dBi$4x?>jdSnJudGS}7Nd)EELdxfd*h~qJ=_jFNEX#4ht#A|nr
zp8PB$a=nR6>Tqcz#;}3KPFRAYW25Ivr4)IkBm=aG)PvD^CZ^~%_;nn#T3RU|B($kg
z-3Jf8Lo4-Yzn!xJpoUycPft%nqp#Kt3t5<vojsRPi|)&j$!<DVqWmCfcTu~BbuD?&
z5fXdC=U~+y9dHtRx}op%9}G03yrQCrzyu{`Ce4D8I&U#2ZnlZauk)hzgvn1(!D9<^
z^}oJ|B(+4mc8eGu9!?OjEHtS1T(%Blo+cJ9A^UMsp1M~nyO?4%Tx6u09?diA7D(gl
zib3-@eHFktdz<r?WkcR>VQ<8ok0?^drC2*dp&OtgBz7L1)ZnMN(<tpIaBVW?LTh`#
z=S<m_<wf@D-PLP3+l4WqG$VthUG&#=nV7EA(nhPtK9Y-I*(<KAt1B%nm5*SEiHVv0
zcVK_q`Kp<(T>_yEb!Mt5fX)6IV!Ri+%0QvM?z4Y~mR4NSl=DWXK+oY68A`j{O2e`2
z(<h_dF*hlI8vz$-U61$X4PA%KQ6ER~f9mi(d?g(!YPB~R5-9}Y<Y2*X=OmSOaM#K-
z?{6;`)hvDSBZZ1@k~+ngZ}|6Kv*G+qwrZ*mu7%prp@kCC<b|D`LAe!VX5R67fRs$L
zh`ha8<3{(9`luKm19JU43IliH9=0ah;x($X$^jD<(-bizq#|-xZY!duwdy#{{l!yd
zgW@jv$2v6RxHmrfqkUz%|K6Oy6+ntu*Svf0URR2Q7jC*`<YO>zWSd#H#O^2nd5OdI
zCRJr?50hcq5i$wq6*waZj(fJlUjr9LoDx-|Mm1nT^!1N;yh!N7dG}Zhe^xZ2_#=%<
z*|ng0`M4AU{D1{MY&XMsTDB|MSs2E(nMD~!y)l8*rMI6$9d}IF%Urm|Z?-Yh*3%it
zEa&Ect!a&~;RU4P802OUMG<Z6>f+*(%+Oa7=7JrsPfusMrXF{Q6dR!Em~|wAR;cEi
z?RSc9>3Z(0c>MT}P0w>N>uBG_CF&vqt68mQceK9^z1+G#KNpHp?Zmk;<Yrfo<bjRM
z%3rY^8oI6mKJy250I=fp9NTm(lebGEyjQ;D748r9_y}5dCm9~@g~<cTOm-c9Neni}
z%~o1_y{cDJ#mUo_hQSj4Hsh8@tyNoVRc<D|S#bvYf0TH(0X5Xrcmi%zczN*aY>i|}
zns<h!Y`%VNMPVWLwZJpyjP73tJ~Y>1c<jg>S9^#T##~7h+F7QQ5@umYy^czt<mrm=
z4si4N`@s*_8OqMJW)d0NZ^NlWPtNyh@*8Tigal#p40>mU&CtqF*+i$T2!J~1A%M?5
zJW~;w4rJ!8-};06-ahNt*VlK2RT=+NUNQ=Kvozl#u_qetzh%!YO&5{BHeylcB~dKj
zA=aZr$f6VXR`(2H>7nE2v{7yfC4T%E_1mJ2Z)W~9ywYB4bekFRCt0c}_WYVfFY0*-
zoF^rXwp8+Oa6x_vPnAZK{3QIDwWhp!6$vB@Ir--7+Og7sf+<GojNABB@PwR_^-BG&
z!C0*up_b9+m?es=pt{<FSWq?d7rt7msj2bzn3am_nwy(PwMV7e@07V;d9JIgD!DfU
z#7&6F(>X+czhysLyQ=iqQtDvnXm^6}lR09gtVfdYBaY-Xs@g1GOJ84~|4&|rv4IDa
zy}jP3gSA@hkY#ECX9zZxg0MZ+C2-;1T{IasVx+Zl%&~(D0%XLta;)KC4BMS5h1%a*
zgn*-@q-^rPI0C37>a+~A$?#VIJC8@wybjlXEDS7%Q7`@G@;PjIF?^Nmv6VRB8HlKr
z!xJ(xBZA?4aUnA%DQ;7b9Ncs8QfF>lv}-)tfskN4P7_+vO1G3n?)|Jfo)X67I2?%Z
zdBzE?eXI~}aDVo7emYcDM#Frb4LRwjJ#jTdE^PQ^PV(`pJQ<=mOOG2`fB>NGm^)go
z?Hmex!}~YkB*VhO6qt$K)4qPYKX5S3EA;yH0$bch`Y6N&PvhZ6uZo!M%3w)WR#q={
zB|t?vJC|HlZtBKl8uAiY88)835DUgl{=}HAudgpJznAcbm!P!a#s86`dg#xesKbr9
zf%bO!e6tr?{H=MPKYxa9qkw8x+QAC{$gQtG!giO&i`#BcD0toBA|8*=8v-bS-U65e
zzDi3=!`FtdE+0axfP*L+5KjeT7LoiRE^Ze)f%^9PgoM{l(%qMTrUDp`@t6okH`~L7
zM$CG>Aoke=jn+7|n`+>nKYxH5rkSdT1VZPCGxVtjwDS4$i=Xdr0=BUPfK)d=4xtzl
z5)y4}yVugQ5!GXbX$`w~FImiT<GZH1y7Lzk2r5`G`|X3$BGl3H?zoqIgq=gne>lUl
zGHR?$Cda{53x)B**0Vq^BwUvM9v>aJdHxNiyhFvU7vE+k7f!dh?~E9?7-5|2!#PIF
z08Rst#?L86IO_%oh)fc1lzqd;#SUpULo22g+cJxmcTgKWM6VEOM4yJ1Z1Xy_6S9e=
z^p(KCcwq+<nIxBHs_i@2=^i3l%~XhnNRPG<g!~>Vvy_q&3m>WsIm+P*Z;c)Fm`^6G
zY1~^szWMsZ%k`OPRk>z|vn~z;9)xSqB+H7La|%Nvu#^X65$u7~^DU`{<8@nF3dZvR
zo!S)C5g~#2R-jv02|L7VE+8nzQ$PFwHx1V;e29&$`1;j3->}W?E`Uxbb3oQq>{L?3
z_xg41xwyiWB0{3kb_N&9Up^bfKN{V7L_~$-z>h)0Ss`*&5vhm?ZvjtD8yv@g<mFx}
zD3yKje5O%c+uPgEvX$G+_>T^D8G#nQK0#99bf|E~+Rkpg%E6T1+wf29Mr1DL);oH%
zKz(1<kB!`XOlBZ%|7u8E-mMt!>ZfA4ZuWBt(Q4LEAC>_EmCk8Gw*ju;?S15bk+wo0
zGatHc0KF>>uhIQRpQEV4GEjSf;iYF~%|aE-&CN{^_t*gVchlRX^1<&xx@c;d&1}#+
z8rN!;U4hsi3JBf1H|Bt*?-AcrMx&MiebJ!~aRCgTFDTlgrU!BHURw)l1_lOtdP$wh
z&{<o<XoZLiCOUa2U%&k|m<X4W^7&%bOJ?G3#n?)eO#|t(YuKBMO0U|b#iga$+c1tx
zwI(yN9kH`^>bVS=$FXn;;sB=V13ZXkeXJP%rMP$<a9iWjm%N>EFRT!bhXg_R1W?fI
z9`ukJ0DR8kERR}|^QuZwsX*HygaIS|v?zm)_VUGxg{^lyb?XlS{_`E!0V?3e_f&a3
z?1Vbj5=^OUc<#?{U{cJ}8MSWS*l+YEamf(pv3+@3Y*((*g9Zk<fBc&Shf`Cln0=eL
zT8%%(GBaHgU;ozH+6tAvFoj~=4S4BA%|g9v<kGdz%|BJ~uHm1DR^QMp48c7!J^U-Q
zwxmJ6EYupo5FAI<+-7R3P0${=9Pv2FP>P<bz~S48vvi<Xk(ZdX1j{peI|Igms$2`y
znaJ7lw6wJ55QxJJ2>m#2eNnfy(TlW#&NX+U+tf8RS(&3n?NlALAaN%eyrXe<+rGL>
z9WAOdPqSIJ{-)=?$juW(8W9%!2S1K=gd{^#YU%L-I7v`46r0`<#`f~LMzHgQB`9I~
z(Qu|e&G;>oT{QW}**(&3-2ie1#eL^F^qeAt`lxTcFWCqCt7ox_a{MgOEOP;j(8Oje
z4LemI#vlHHqBA<0G`g)hZ?ST#O=ORxo9vsSzpAYz{&~&=cPMDy2Ro}1jRe5rn*!Ho
z9jkT9ETH?}@i^Yt*dXPuGWzlEzs93g`?z1C1E>F=7a%`Zztm!Llg?v?t+0CTBS0=E
zs3TCC3~B!zJhdyOSxRwK)Gfacn$Nn0&pqZdwy3LnaRiFebA5g9KMHKN-j5(3tOp8L
z-QNL(RR|#F32;TIxTdD2P<o}Mp^MQ1daXT-105EQRmX-dW!7g6S&4Qv#PXdfUHREC
zC|z04+Yz~i!a%QVz_rpw6S(w|xE3t~4|5r3o`^_aro=F<SPMq4l@eflOY>5MJ?e&a
zKU?offR8LqbsJY`UH5xqL({trS$Z7~!o}7Gp-4aw!3DS`Dc1CA+yKrQ6ezv3vftOC
zIQ@ETIwIP%EsAA?%t#@4`9rBF2bYg&WuWj%aT5ci;82l9s-yI%b1N;T6{H_Ry#QeS
zwXs@8*Fj@|`-49tndQUj67(2OVJ%P6tf$0r`dlV2AJM*^QT1x`T9Y5T)jvBh@PSyX
ztQ%mC!|4_L{wl1Va(s1*v|K2S1E_scdo$6H_nk#P+j-&CX8~OPQ<8-m_qr;bTpSQL
zVjQbSfs4&|C00W47Wm2l72kz(NJ?V!uz`T=Xm5wsKvPuocY8X72Z*AN*$lCsE2V})
z>_cn~L-T0ZOva8n_dbSr5XBN~OH@5P_Ou!{V&J=X8nb%iB;l5{xhd#3WE5!aEp5ad
z_EfGL%igjt%gucWzyzAIy^W1>s|X9Je|_Ih|4V`p$|?@|m)>`1xZE1xSuBrX%7r9o
ztk3J*9lX80OHqG#pbIwc)?>Y=ucXEUH-7xM3kaW>>&jq*_W|pHx`qb5Lo<0ao2n#4
z9AsV1@@xF87KWtAaBRDvr}c=ZdB8p*fYHYtI>lKK$}7UTUIq-=2<`<&70pL6^aD2p
z@g+?<U<VeXxR^H~qckn;=3YX6Z3W<nL-A<c#^ubO*-CMEd2)y5g~Es#k|PrtLcDIh
zad(mkz?vFJ|H8VB_URw^{`u(;#)zo&z`$)<OaNIk;b1eHC=ftrH${hgM-xsVip#^B
z>OgT34d+zNCWHmfB&GG9D+a!D33vmPe{ERXAAY2j26|4*(eGy3?zC5U@V4o<+3D_<
z)k%8qbLv*C#IWdhD$<kF>Y99SXJ=<$0KKy`3j~9=ket)OcUZf>h)w>Wsg?gf@kl_x
z#QPcGlT_649wea>tYBw?05y++xaZcwYQ$K;-z(o<?^b}~#~dzfGE{0#j$2UDC!<A~
zD{$&uslS6kg^$<qKhX6;&KJJ04N(mZZ#=#MNLV@k+MVU}Qt>5P)A3*^M~(Ov9s`fr
z7%1{r&8MRenm^x+w2h#iYi`yOLN4o0e1x;tcN@!ka{@t#-{0Stg|7Yl>*o%SJx>Tk
zXw{T}n{~>vd-b8FwvD<$3x_Ayob4&ZFO9Ws|CCL@52BjKu9!g81?bU;pAI2_Fsz&;
z?6CMJizssR=JYK5&WI3Q`V8x7w_F_Ec1BDv3bZSzTkz&vi@iCYKeMA;KjhylZ^@&k
zWWm%hF*Ukt=dkq{<|K7l=stfQm3x);`t^@+BqqWGLA%jG^97Kap(+BShN{$dQmd`U
zZmfn_PzTtSg$=lLaFRMbn1a@_g>`*x!NgT{e^G_G#~inBCxEC15~%+rdQs<vUx4l#
ztE#GUb8kzP8}Xl6vqv51n(Ks$Nu5!*#oYoV|KdeBDT*GD95z7eaLP8>k9CuAE`s-3
zWbB2d_T6H*3?QHI&M|Ruaj~&f&^oE8Vq;=hq&6AVh!iJ?N=(6jdV8g!D}p^i-|2U{
ztk~+;-pYpUg21ZdEqoDKV~KRByLQ9|9w%)})Dd$YC(f;0e_febQo^Uxo|m0%0oa6|
z@F^}PW_x8wAiC{VM(QSYcJs0&4-xj<eeuMxwcM;N3J|METnEg^7TefTlR)VJAOTRm
z8b%0oE`QbNwbm7_`k`pjke9`wb9S-FN6U%R<-_qc>`Y8UwqmF;s8^}CpJg8+k%#l~
z?BiC&{XD6m&=4GF?C9qO=!9QQ?l$b!8xr;hPzNIu42c`92SkB9Hz!3D@FcV^wG25f
z{TgRD-79P=bi792;I?-K{yd09oT;l!_LxiPks=@oU$ix-F|5s&l60o7V<rJ}j~%Ay
z$;r{)&Q3?cfjUYV64bs2GTApgHJjtYLwV@0B@Rz-cumKt%E>@}09h7k>kbGHrd5e(
zA1GS(*ohHdw&a5e7m=pHh{9WUoCWco0wgviC_BYQ574=nHaiL|`4irdoZVR&a)K}=
z;?n&og$@NDtYfB%W12&ytzm@T(3Iy4Kq9C&*!taZ)7H=-K*S(6Mv|$Ilx{cs0?h|(
z1|3FWx_#u+r%yNbm~LNN{g8hm)@JDI%V+!@6Cj>MC5yRM*$9q|j@AL0tEi|b$Wc{x
zR0HzB8vPQ=u$5IiDo7Kg&F9abg9-)`=W&f0OPLv8nUK?9Tkwm$L;!5<jdlS1;Q-|g
zQj?M#jmmdAQcPMe0i8t~P!4FqXUG`nM(WeWt1COq`y8wFa(ssxW&}ESJ7(%DK_Kik
z;?};F;qQw3yrakYoRXZVHG#bB2+bc>J>6&4d-WNg-9wN_O_%=WQjw4t9l#AFYJi(H
z;iyHR=Kxp$>Be--f|docRH78)qpMU@ni?7x8N{pXCmKKq0M-wL6%;wu<7pzuebsdF
zSx!TVqa1)|80_sHZuX#-o~4RTy}PoJ!$@8NBN>UUU(#*_mWIQ&1%n0;LL2FH%~_M_
z{1;wFe<vg58FKUUm5;657Gap_1H|4yr*!Uc1T)+#81Y_3eE+GQ6H2C;$jMbApgV|S
z>o#E=2p~wq(9lpvr+UP$c6+(fW5%63E)fb#VeOhIObh`gX=rH`=~X*IuOTwI<IK+$
z6+3f@_C6~m=vZ$3=kTlZDPAeajkeVNzd7S8QY3Y5Fc<b3RN|?3hU-xO(2C^=txX9_
zB+#%Ovvcq3(YZZwz7wX$ZIHwm7aFn{V)`f*zr<%RzHS*IYa^oLWG$$&@1UGS2{Le}
z51+*VduKC<ECG$J_&7}2M1<6#z4`|^8M-?8QD-^ils~aOG;C$@%*LS+h{4#MogE<H
ztkFx(b%G)~k2&HxVq#-`CP^3<`tk;nM4Y11R`uI?IvWbem4Ho=^I7f*Mwsnvbk&Zz
zO?XF$Z#?1;WFtyAL<$PfZ29ZpU<E+k9Z1KL5(jvOp7{wx7eHPhmuO$*Sgd0EGn0di
zkcv$~r)oVPFDRFHLv6&EODcHUWc8^sYy@k8m!MW&PINA_O5|o`vE-&4Tv+z(`Jucb
zz{%io`%7M4bkU#VHr&%>%?C=HFnI;;Tvvx&pZpF{q}Xs9h8K!*{^b=FbGwWpjx#VN
z#=4723b0m4zLz%${kZ+R5k-JoMx3#d<8Wjy-ZU+;fUH69QcmEPMUWU-10{xw1vFoz
z%vuH*0NT>uzCIUEcmAvS&^{85-P%9g)=f3~T3Jb0ke4F1wM%1|w}jw~-5`1|m>oJ`
zo2&LztATj2N4F6v*xnH=*DfTO%i3tQ;l9q{Au2unt{sYryI!nxRZZ_IBi-d{y-q_S
zj7fo)OR!Aw`1Rnd?U9yPTn8mJb*kIA2Nc~sY>K^yg8}k5gU=>Mdw?cFH7v(cMg}=2
zka`WuV?P-uV1cpP-8W|$stU+#;k^=+Epn1wVGxj~S@01GHLxe*bQRE!B&0`9lA|K}
zrUS6125iGYxbSo!z-6)OZ>OJ1BS^-Z)}T1)al8E)q!|`E-YqLByxICV5PQhV-6(Ws
zD}4L0+Q4OU7^aVUjL(T^J62cWBHh>R$;tEjWjC|CtiyZ=yL=9sAWN=^^0-cTY;LBy
zze;j)PCCTIm)zpMMm>;R;c+nK)siA@(i$~vnd-fBB^BR1a#V5R^=>$DMIt=VDb4J)
zx}wkmZU-z}Sg~;vKo%V6qn#-d2VLUxu5-(@z#oaxNFa4MwlqOABx94yIa5;U0X;;(
zupIye%mfMKCG)>tybKE}Gr?IGB?AzmHbml}3{)fc1Zki9{8i(>IR%0SnaIq0K&d@Y
z{(*2R41FmoGHmqm1`Yx*SL&)BCm<mw!@p|a)B3~gV!`2GKix*>ocYDOh&yo|eSiPv
z8`Ren78XM2FF$aE-)P(1T^*^cs&a=$1+=E1sHi8W3PfapBhbptEPj~DeV5t5#vHCV
zJ1xI)Ah6ndq_?h0jVu$S6@5H5+SnM~C*K_ACxQ+t&A9(7h%KcG=0R?rlTen4<eey8
z<3~oT_IGiOsblGH>T5WUce?`vRZ;uB<dL`f4o`3BF8}75-mYdk;T{1OL)c6u)V=r(
z1DSN791NZdX@qskrZ(Q9O!opfcTARu0)7Y-1nA~E&^ina2|z2Mrn!0ghf{mp6%ul*
zo6b=ps)K-~4t7EV8t8q6iYh6k4_bkw$jh}VNCguoH{VFe=)~P$IWnm~dGZRnJ!)QT
z!o#z5zhokuueS9F6~-P&5aH++@!Xs!AHL`?MuN-Bd2SE$V<@)3hcY^R=>%;C-5L+Z
zQV(a?lw!FKrjG1Kbqx%BfEUwy%tY!kt|r!<%&xDO*fWbl1wsu_h-N(^j<MH&kd_Ut
z-1KU_mKqpIVk-Si{2sH<#tU%}<A`n+fgbT^1`Vr?L+b|2uTNl&iyHQ=WRNqy<m7${
zRXbmWO`Jy$bKD&aI2Vfz<go4WyaIC#RDIT%T~t^cwd{ijGmbbkm?gA81D3ZQnG37*
zo(<cNfei8Swxe@&ICM3Eu@cSKrn%LFOA*(UOvdXxz-m-n4rj=s6bnj5Bj#rsK)I->
zsMuIy{e{OTNX~@P@PXF>2^}&ydtoo&B5(n~1}XgJ?boEj3{z|O4&s_OhJ`ohepaC0
zC!g&G4~Jn9eoxD!kvtJ=+tWg?iq677Z7-zZGiioa3nQ0t^S_JuWF;@JgVAcI`JU8?
zdaqrxhd&Obp@##bKBmo6X6=3XrVxS=j>@l0vY=o)Jc4ekpx;4V6po1|&WwUXLX;F0
zL5zfQ?d0SH+ySsh4blx5RDukyi?Odi>OT^|&G4c?C?gmoqEs|>b!(5#?qDaRm<&En
zw7g{^2O7{u%EWZM*S8W)xDCklo{$h5IS_L&XZTSwnM_{db2Pep7u^vuoTHK~>NNL{
z#)3F!cwEBMfS(Q%8m|J76O~RQcw<fjt;!JAwuvDPXbn7}HbH~(5%JkpziS)py*sx1
zUiwndz**LA!;&scf-XIIiOWlpNr|-b^6iZd9s*cDMsZ(r08@YzFni513CEh634lDI
zueh+#4iF1HL7A<oE^19fUHvQI80h&hrL&)p`czp{W67_*w}F}XZ0K=zl_7_Lsxqu6
zj8W=%t5>xr^&AupEUbRjls_%7Xna7UoQ$3W5{X+EVyKed#gDiBuI2YRe6kbQcsN@=
zU{G7|>K;%6YfwsN;|x>yOyxl4*U=e*5`+%D)(dy4a*Mly1tnPlmz`Hw!;#pPa*$iK
zKG?Op_E${qLLgyOD*VU?3<QfruD}wfx549~?=Cbr_xBnC>myI+&<qY5tfbVX@eTfu
zsmFYUH9RWUY0nbm^_(s9bsAghk33t{4w?aWOG;!|c+U_TC*LrJ9yAPXlX}m_x=-3W
z^eH$D8z)x6&mS)3;@8|7y<iOJwp_7V-UtOc+D1@UU%%ey`&;OfZleZIpGGm(gH22v
zt}5AWyc%Zj-`}1lY^d?T^nqx#0r~u3JNOw{*zZ~yYr$htwl$=v;N2FuU}|nX?f93d
zl_>nAX7$t#+q76?5UAA?FxY~Q4*h<l|7U?M(JTOCYA&uWi!xe4n+5#(^z<|&&ILN*
z;;JfPsr)aX_1DIj1@-~s6180^wLjW~$qv9viZ)Tjei|jJg<(%qUEPtqqK4-H;+{Nt
zqNeuy*RLmVrwPXgTI%X`TYr?`Wa*U#T`%3xIYU%qA$ceE`zvc=W>RYSUB^o{?HWBf
zz@4(ci$xu64-iNvd|0FRy6k;6q2O)h2QsEym&cZQa1Owna-$MZ?}rZ`^j!Kh+A>2z
zsCkaN-5Pp_hdqCwr$-2Eo?5NXdNHGhGOPYvDKK!IgwWl?5{|KOU4h!gM&D(r_0=`5
z^?0K;^DoeM6@*6^(na2W4&QLqR5&p?2H0pe-Zb1}I*9H3`RQ+wd{!^MT445u_?%wC
zOm#lV2@@vdy7vw4la^LxfiZDPg@t?NC|3di3)uGzMY<5ms7<(Fba_LlavT(z#jm|8
zckXm|9lyNlcJH~_{<QGM2F=|UzrYDG@bW~r9`|l7p=aFVtei%c?P0Z>Vm3>Hg6bm@
zibt0p-f(`%b5c;IxcEFraN#sZUV2EnwkGveEi+0zef<(8%G(@ij}#uhzJF5T(Zl@@
z9}<*%%$AOhg?TSTE1U}q!6#1`;>L+Me)PSUc+Y_(me}0vlvVF{-#H=vCfP33^AZQW
z0WA67zv_fuf-Xok2QXi;$TAxFgOKL>+}tU2nVkIh;NVXTuCN7h`$HaC7b4>c`v4zA
z(8(uy^E|J&&z*fu#cX%|EsmrZLldt4&B*UzaOBJQNI$oRv#$?YO^;>%3K}nyBWuoH
zQ%D|vVWes!@zygnzm%C0G3hJ{@*j7MVn(<0X7lZ<=lve;q0XTlM3W1FcNG?PR~Ax6
zpraq%0@{^X`azkMIhR*43p#x1!I7KVRvz<tzqifIz}kxjk-u}niNMUvj3MT|1pn*(
z(?-WK$YN5fuxuCxi-=SoFgJTx%cQH7S5`(l8a7-^Qn7^E0Hzyrml1jz|EbMAa4%(Y
zUW+WH@yEG~Q-!n`@#6bQBOl!&hb8#^8z$9_+3|VL3%EHsorUQ#uY|Px;0+yF?e6N@
zuDID!f6}0PezWPv4<;ricxhA9j3Jvd?~{_mO_~G2KOj}_tD16Oam8<k_LAw|0D>1Z
z>^lrj_tiQ2z>INYaw@OU<Vg`JdiH7E5ki~FaK#ODRcau>r`KVeE}Y!$ab-QiWB%jg
z&iiZUkzVH}7#|o@e&Yr4D_PL?y3Xe-M5zZ5IMJb3bBUmHDyS!4=-T?i*;gK~Fdr0P
zA|RT)=1*&P`MjTx?^kV3HkG7b%iC~SzGul;Yp(k}Onc%(#;H?!i;a!#d3Xe)yk@%}
zMmJ(|QMDM@8F9$J{;fKSLNGCm-QamaKTlVPnN9Q!nh3NhR07s3+^5?vQ3uJ~s!kH7
zNmR}T627zJiXD(L8dBo1C`-Up{rvT9iTZUFFX9FU*D<|uJRg>D;uZ_yBm=9t(UByG
zjrvX}h}Z|Q)_qC*uW{}Iz3&$}TQxQEf_8<yru(OP&-*#jJ1rMf7V1{6^-5Hsre$SM
z%k7*dIehw7PQv7BmDAm|t=ptlZYIm*2$~rGpO<C)C(SM*ghh*ftT}@)hQxPNocwT`
z95krd*jC=qKC6P<+?%o;zP`ToCWA4yxnIl6lSN(Ht;$=Qn=^BA2<^jj#DIi#dDdy+
z1e)pN$6-bDWQbh#b_@<KnOv~hgb(dNU%y?GYol*B{7hL{*}z~N5Hr#72FLpPdS_>6
z?OM$p0fEi$XBkiN@^h{GiBmNl7%549P@J7TZ!})O(wNWVZ~W7TN?~W?jvgZe0|NyG
z)8%v8v9p_dw;F@L3MF>Ia=*9>mLZo={H62fqdI0wN=kx)f|w$IdL;!$T9rR9(DV}O
zepLS+L@+q++*w`2x!VXP;>5wCG=AR&OE&ZS@MM!%HwD@OeifV|p9=~koaREiEH+cj
zbzEW02jgK&Yb#c+rWxferTeucjUOhR=@FekR0oUi?*vl!ZqpnJBk{!}t0@9=OxqnD
zAx_1&sliK-`E(exzpMw^qVws3-%Z5to+f+z9m8m%BuUN4h|TjMXYk(oO>N*l71!IU
z(6RpO>V=j6;%Gf)@$N!fRJU&30?s7C5Rn5J4UPvct^(CmNzRUwPxAU8@{e{#?CWQB
zXB_uTBP1%oSqes_%qQ$u+wC8KIsv-&9%qAgC@r_jbg~GY9a#!q2$TR(B>q*p*Iu^A
z-f!8zfz%Wmu$XwHWNx!UX<LD2UY}L{bj}SG-{)77?9QEJk-WFWb9edN-a{8<haIN4
zldrMV1XNIq$<6<knIZ$Vuilb(8LqOt`{jDtZ)ZDQ<upC}CnrK5rs<)TK^1KdB;VWH
zBkiBeK=b4arq8|)HhPJ^!Z=mN#&e$E#cTc0^RqL8o737;j^w_bPL7bM`Wb}xG{R`W
zLHy`H#3)EpC*QnYapt|iOc9i%k^{gmu?zSyBJ=6XEf3Mw5?7gAb--vLz;Kh@G_Eo-
z5&#nMJpUTlgI($=M`MN{-N);_5)%{6`G*3@nZfnSTEl!l?cWjw^e)=GcmX%M&#Jru
z9mD}?`jb0UYl4Z<tyBk-H>)QrErqR@VN!E-b@lM5ewgNtp9+BTdCmVNAPV@+ygc~&
zT2)(B{^#u|H0#y#(hnaZv<v$043-B42e<$Hc|*beR8FtXKix(lGZ*qbMiHnQI56d>
zgRft|4)R#29CKSj?F%DhgF44WGBQ<V<y&O4Uj25J)_1Rm$@LBnE@(`?duZ(J>}+FW
z16rCJmFcN)45(O~R3Uv<_Y%82>r+B=mg8i_FX(f}VZR}*V`t{)M^;^9&D%7`c2-B)
zgcURd(g`AT;gD=Z8v{6NhM}btV%GH0JuZ~juM=m5V1jm|vz0H%Bi+t3^@@rXGQK~#
zbCbesyETnJ+)T)kPUtS>&17u`<@Rr}$oIv(QcTRu3Lf!5mCX(HojC*qh?1`X<LQ7V
zqV4V3vtC$usBjSYa2*UG`Qzuv9!Qh6fAAL?cQ>8yP6nsxGj;WOFZX{9ZFQ)|C9ij}
z&LzHaUpD^U$vo6IoyQm$xBcnuMIEg^O6r>37citK(N6mCL0wC0*Yu{{wd<e0&mj>D
zE98%C9=n+49BJJ%c+pSKedm1^X{W`emZA4HST6DVR}jaoEe$UoBW}cXppM3Ff0+1B
z{r}qYg(f86D43y$s%Kx@7M}}!=y|eJaE0St7X1a^CiD1X4yuXZNbm2Z>|ee&x_<gZ
zfn?CLvylpZBjHedwVD32a?oRsD$`7Y{-qC-Mz>EPuMSK#dO4(DN3g1<h<oolW50x8
zgiG(t=&Frcm4hJ{jtp88Z7{8M2~CXt`SXLH=KZ@Tx4+P)sdK<Uqz?L2fo`QM>x*O<
zwS$Zz?6HxF{T?4556Ec(GNIAR=U@9z)4PCn0Oc2~Sl};h5T$D3otm0rh(H_hg8R%P
z!b_ZiA%Yqv1di27D)TIuk3}>^`z^dgCz6UvIQF%-uAIC)iLe^IQJ3_M1RNh9AA;^u
zfMy<Lkc{t{i|5J6q?{Mte>YlaU^E5NrJ|yur#A|ggNM@6C(fOE3)uu+bi|@8S;DL0
z%a``4S5<n20O{ZeCzCyuxv;R%+}!;74tvJ$&%a;%wJKN1*$h|Yh>0>Q`uX!wl<eQr
zmjars$|1I+3M~Z_xu`l=ltSN^?0MdaEMVamd6>ov873+^T<hZ`Om}N8`7U$K?bIGN
zxk!-m0B=ma`Z>F?va$kJXQHJJ<fHyY=VlWJ@V-!muuPWet)0<9@5~>H$i8__g2+sF
z>iWs^ikd5kMf%%<kH4{rsi{`Jw!_TN$PD=iK_Q_sPFhArDRB1#=qI@x(lV3!-%ESJ
zL?=f_;-&~7$$UraJ0#S>>B;%u4JCiHMYCD<q#QwDJ!w1zjj!4tMq4B_<813X{@>Rn
zh4bDhX4P<<jE~D>A@@iSby<Qr{np07&n55f^<PRpBFE7r{>ItL2^8zYp`jNLBjMBb
zWj!ojd+C2}=A66Gbb;oVLb1Zx!uE_s=Ne#%S-H6i-<lR^-_!i(d%8Bn$jxNlVe~qC
zYF)$WoTVESL1072FQ2`icBt~{Bn_NRgMx~RBwP$}+T(^DM-c$=<&X1Lq&*Eo_v<^0
zb6kxW4IF4_LW|&E?C$xhsX-L=98+@(t<iaZzvwaGz<GR%?raVzVdx?vEiH|x8^Ru%
zdY2Ud06MYdLpGXuF&N?6v9*K7BhC&-x_Qbb8vn?SSpa`<Kp<tlej}GbbmBu{W3`xM
z+`P=_vo@T>Bz|BxGczL&vY#R9$OVn=>FG)3HxF(xStJh^lViGh^2{Aqx~8^|t)Kzc
z0vQ0Y3BMh!Of1vqTVCAl2MNBv-_v{W90lMf3LQ?WMs;4vRMpH&CQ$WTfB6wSkNN(e
z7hq#X!bjny)xxhdfboZGm#Mn$D+k=4p+`T-_1EK8Rj7W_oB`4e4^M<~d~tCx<X3BJ
zH**q6nr7a;>yMF0q@0|;4AbxBZ9vhvxosvT@825JyLmtxP*hZe>$=~DUUh{zK%`y0
zQwIhIP!>oND1$d6ADs+uUUa6QR)iK>q8*rEJn-dKknQ<PmtqyOK-p;iMIrfJ6>*C~
z!OYA|TRXmE76RmIM=1s!u}hlFO0H%Aa?FZrZO1G{NDB^!gNwGS6k}zz`1@Ing@t8C
zNIvZeXgCwgYwjS`l$LfMo%cBn>yBvGNM?N#lh=KZId9^;OOAeIEYt&fRgcrd<N#zq
z+%YAAeI3D7?t~!Qk&1$>Eb|u}4cbUGwb;&-!9($EZuEEGvqCn5_oW+Py=SjKY|yFe
z&UmbSrs~UW?7P=~RpJailuGhoef-(g#dZ63_2NBo)LFahClk&+K7;hWoQHbd>z8QX
zkSpLu%zc<Zfy#1JEuE{BK^al#Hx{(A^7}+%M8nswU*o$ho?4`c2P$T@cXh#<xK!&w
zUPIZr&TsaU#n%hrE}l|3;R7*nyNpfJee3PKan_kDhRr(}gA(VTaZ^?6F^E?(*paQ(
z9@r%)ySC{9&mxUeQ%WFW&>lJwM>81W0FmZT2t{K+RrExnkUO^;MBdq+hU6UaZ9b>m
z^W!i`*p<pj>%{9P>?;FB6QEErf=+JU5lb|@BRu6ywK?25Rn#+-|3eH74L!?IVF?3i
z9QtjTT*lK}^}If4xffoeF@6C7q^I8Y_iNe<($wh9^If<CEuEIO7W~CTSF9ciSu%*4
z(jE(3Ec#*71Z!MYR_3j$Q_v6QfiLP`hBDUskIrr6o<3e=sKc{p$GSmTf=wfNeBb|p
z>O)j!eSNYvy=No-6jr6)kU@K3;)uJOg0U`-e@>|s-UZ^t=Ra-2Us=BHfcEuYjYd{Y
zut_XiCE2shr?5R<Czdj##j#pkSXeu+Z=cn%gp-z%GA1R3;o7zTzFC!1jOCS-{Pr>o
zlA*YAMH+d@n=2z|?L~>UGHdkj7q=|@eO!h`fxSWCvtNa3Ad^u#vU<iB<gC731rKqC
zTrmn-S}~hJ-lsc#7G+0(yDkNo{`&M_oMM*_{qpWdFdD+rG<xCO>%M-yE17Djr`PGA
z2lF-nvJg-(gln@fQCI(vIyE)dmB@1^s5r6O6F3-53lzhDGz{=OSEX=GZ9eRSA^`gJ
zw!1jYd;*7Tj(2oI7w0GbtTk6rKbd$7!sg-rHXGUj1otYHoP#M@v+Ya2Cd<6>Bc7vR
zNgb)MJ&4&&Cj!1%lgbg$6Jb|brQO*6-hAqW$aSpb)vDQ<xF^G};r>S=C-PKwpM4jt
z*b*}-e@<+=z!jqjS4oY<uxN2myg`w3Q%|Xrcu_tKcAV>Bttr3Vov-_E`H%P>p3grZ
zU(%G3lLOOQVsgx7Cs88G>4oze{PX8wIQ!M$pet-2m9xR4i7zOppr9a*;@-V`SID^Y
zD@__aXbOSf*0e4=I_Uj65X0?Wyu6NEQSMB1@9wXvqT)e?F;fNx1&R0^x&y!(IC{oD
zK>iQNpzeci4I3(cm<d;3KfE8wm)C&)Qh*1s{SXKho&mOL^ccENoqkH|d->Y6J&+=$
zVEmL^@Ht=ePHyS==;%tA&Bg!zGp1>MaW{(j`}gmeK4*qdxPzu;*IH^$ZKJZGxllQi
zQ~X}WHjN?adK1HMQFcwl-4R$6VPy9QGzm8tHv4)RFO!~N*o?7XpHhv74KcA?y4?4S
z|1XenLm&drr=onIZh`8I$K$UFSa9l96_=eq3(N)xS7D(_*3-RJG2RQkvPixNGzRB>
zt0Y$}qsFXC*-}e?h=3+<1KQaDPP2RW?nT`g6{I`5GWBZe$?ct#lW3wB2IgCFh6RCn
zq!H+6>{lZrBcX!&Z1aN507flvf!0@R3QOgUe=)k1ni5YJ)nO}0n_D}lQ3ptxTSPYV
zbG#lm*~N=7idhsv%^2K*v*<r2Bt~@;P6h0baGL4qC%;`38inz%(EDd}=p$H3=$~-%
zFhoBw=~xZEn)Z&4pd~qj1TFs1kdThfP8it<d+p@gYe8HCT+8eM??4M0eQ@bhdisx^
z?HcQvYPJQOJ8ZH0^Xu2EW!}17-glCDzoI-x%g#T)vermA1^`WhhaoPw(<!*nZaqwW
zmQI~hKdum3$>byB<EtEJ+YPZ}W+mEGoZ6R}9t<^JE-u@r3e|qw+${6733%8Ob^=Mh
zrnQ1XkYd(`Xg_$XB)9)QJIPQve{U-sXHV$;Pkf!>t*`Guf$o6I%T2q7lD1=q-}VHT
zk68l97{|*jRn5(_dKa&Tw1D0T;=Y{QA?>~EL?Iq2^x+(=42X+soJSodC9u`wEhiU~
z^krIq3+C%R0s6STDlytC`_i{$s?RU)rd3>{2%72BGF*L5;sqiFY#yy}lw6~qz+J<w
zpm2RB5SQ04Q=iE@(pxNoz6?g5&SbIOC^DrqJ^6o(@{sSE@GBz+2b{H2$tPb~r@Ye`
z!`J=ql9G~O{IZwqQac7z6O1X`ad)6yiisswT{WP1>ZzZrzAwi@>i4j6<Z;D&fQm$q
zVs!MXt60e>AI$~u)<DJCaB6|<o4~frYz{5>^;PZNBi?7wdSBI!fge%KdEtqYl9Gc%
ziAoM>)u$7m?iv3wDHi_@UIV79=fO$~{b4kL`7%)oVMiHlc^*Mifu17Yh=B$T)4mp%
zA}kD4fnwLtAZbLO5&k~uX4;b%l_L;kTEF(UPrg>?SPc*Eef-nY-)0ti_FFXOXs-t~
zUTo}ZPk?m;!_LT`EG3;-31Aj4UoKKktVIdjxO@%>61=^KxB<G%wYDD0bZO}yturLw
z<~K7kGGLOn_(~W_S+w@k1%NeZ32?yf*;}_{SfdqgQAD?84lD;voAW0iN1``OVI#>c
zk387IBOP#wi<_G@ydS12AYyI^a{t>dM;_7w&2U!u|27P6=-F~5aNfS1`}ONzvAzpU
zqp*nyZh%$!NAn>VT(hvUo_t|%PXMX(k$_~X6wFn^Bj@50PxU{BE(z7aqHM^s#c2H0
zR!Bf!_)*UK_5)!(8gch^*nqJ7N*JbmW#IdX_AAs5^g^2=QIFm}c^aX*^Qng1qy$f#
zVwh>~vl!FJ<@HHIIpaHjwc$!tSa;|N)B_orcR~g!#5>VQE|*b~p8hcFsY~dk6YFp)
zV0#e~IiD)wp=Q(khJy1Dku3-gT@vtjkPbQtoi4cZq|QgewKn;dhZ|$%NOD}98@QG?
zg0R0c(4ZcGnQA!U653&Oxv0?x99{3u<;O>mdw&v;zA5d%m7*J=c<-r6$$TFv`5#v{
zsv}yl@S8Vp8pC#cefOKhth*jIw=VTdK=hUGG3r6y-b2AgJ#I$WO%7WosOad#?M8*4
z^2a{hGyNy!ZJ^DdcU6wLCccj7BQu^`Cq*Y-&@MjX*B1{T0RS`%6`~tma}_9{RrxS2
z<*dF&F=yiY_rEIb4XgDG)Yb1A|2S1|z)1d9H{j-N3Qtm3%5=TcvESPd_}n-V>R<TQ
zPQ#vY3~asDEwczSoVs|E5mkLH#J-+guzwZ!uF)(N{x~eIW0nVYzdTcwkX7=7x_W+=
zKqi=Idx*zDMVtEWZgZw}H$Xekky3IztjYZHxl=Ip#sFuqB~EAnh?N7xSE+1f@0of<
zbKwkj{y55+%_+n<etrE_+0f|Y(}kGXD&Z_nVPRoT&QP<q%aro$SEHVRWn-k$z9=sb
zv$+RBK-?W1ICSIttRonM8#CM{G-PgE&dkmphZHp%l*>>9s@Z2{$SlJ@yvEi?4yb6x
zQ6#eV(Z{%f&rga5ykvO{XG44DVUv^J!w03k;tZ;=`S81uk&f%+w>Lm%yL)=HIAX*Z
z>;Y&)IUgr2f4&M34RL{9RJ~{*`mF&1Kt6O>_;3c*WKr4hcmDoBUzu87mOoE>BJ8>K
z0-MAr{OVh6r;>ugHF0;|y=vI~0d)n~L*?9%MovS6&-PNEV%DGC8%@06<WCT?PwANT
zoQ=_fmT?NH+$G~ps^apfb_t@4xYEtyhNE_F`ufQ&CXtF+AY+aXmU179ENt(Oj*h}e
z@-0SulhsI$s<iiL^V_AEsqUDc?d_sqN-c7?BdW2^!3IS<JUjz0?&|ZnthgRPm3pe7
z!7^#=NyYE=W9r8gKON`k*Fd7d<)FXD-P{*b>Qgy0HwSwNMW2VaRGOG_pU<0|LVPkj
zxkeMTeV{fF+Bgw%7Rgk(s-o;pUf$&n+tG=+pwk0339FYcZ@V8n4D*nZ<9?t|I_`5|
z3#kW@;#lqW<MhezAXwLHJi7g1nV#dd8v6$+PLM6V;R7O0m}MCuQSTHXtykrZ%b7()
zM1+I}+~%h%Ut@%mRR(_j`lQYwwx$WI%?(fi7ID}J`lH!=92LVQYqzPeu*ot!&ODRN
z=zxzC$p{q+_DNg{$WWy_zI&<O)X1i(hYcrvLY!`mHiB}qXM1vIa%vZ6dJ_@45c0i#
za_ZGr3UnS~5*&~Eu;YOckag={^+tdV_?Wl}PTsh8GjN-41S4FxL*IWC2p?wv`=kH9
zxa*oD6l=bRZ0MM+$sg8|(ZNx=oP4PFp+Iw)<rz{t)?BB;RA3@q??RJ|jLa5xf&l4o
z#`g^xV{T^VZvD)K5u|8{ySx~et4}tKXjs|Vf3CWE?GDiR8|zdg3WjC|)3hx!1#7)}
zRXkwXHtTrp!kK!5iQ(ZdpvG(FVau5!+4=eTnV6u!z4P<)V9t$Eoc*04pRAIj%u0LD
z>VpiEi1Whb$o$f>GG->GItiGIfcbXFsvL}@=_&jduF%pZrlhPnR;wflPbF%{{!`TC
z4WiXK=*3*~E9n4YkC$7=RnEdTntwZ`pua@hABjXhnsF8#v#Wf<eu2iHU=58CI)#M8
z^eK-&nVFd@D>f!gRWJsD-mxA29hE9R|H`H2lJ17X=L=aEUwQGue*M#=RQTD=A)AV>
zL?P@@8Cq=Bq{RJCrUICbqZG4Fpuahc0u!jT8Jeyf`Z#oj@I25!a_;%2mg%lS9ca8n
z8+c#R>3;(-Rbtcg@PMAYd-Q(Q^#JVM;C7k!3VL*_hNy|du86!U!ur`Ot>f;PFmRll
zP?-Or_zo%K|IkvdmIU$C#6i>dgaZEMo~%~E5qXh!2uM3pASgAUM}~(#C}wrc1_uUe
zSK8@=IT0Pg%lt%5CHY!{>YLgBBmvXE&XxzY0|dKzMOB3~J=4z!xwI$8KasF`45Az4
z<Z<Q;O`RX_S;JVr;Y2rq1U6-8Z~(a6uzR~QUVngzkXnm-oy?=JZvAHc2Q}WA42FX!
zDgU86@3k)Fs>8ejdo6@=ljjTGrTFS@k$=~lfb360=d!56&V1G-XKf0IF#Z~$y1m9E
zj=QNWSO-^3+`4an^z$Fy)^h^X>+Jm1plD*}q<<zpb^BF3jw9F_2V2724pWhae7OSL
z3BOxPZ4?!Q;hcK)3z=lzZ_;XjCHDPIX&ASG8a!s__UhF-Yz`2+<KBN-FcBs}xg{mI
zsNWO%uUaTOPW~v(f5Prut=FK+MG*uR%Dx;`#wc!R>W|)1|E@<)WZb`T?&8I;K;m(Z
zj12q2cE+_9?DQ~4KhcavlhKR*opq!acmHL?8`v^kVu}U}xF@X>T_uX(Q*@e9VGBD@
z#F*N{12{y-4Oq#^H=oMOV-`M{>0hU!613=~nW%+5tRr`vVGbFNscV|s+ym7E#DtS?
zzFCyr6BOJRkv_g&Qx^SMog>v_?poyQkps~v(fm)9l#{>9p+JFC=uHuIG*HHa2}0r1
zT*TJu8=BJ}FS0*72_M+80vo6=zq+S_{HlGX_l)V&Gnq{4pK;qKUTmF<F&TN9+4=^v
z-o2~6E%ET-L-??qjP!J$F*;(|J57hqRR>1)1;oRS;0>H?PH(cX!^4c<>wAZ=Day>;
z+=XgwvVO6MPq0ppZ^ey0g=iL?No3$?QF1exI~VBps;1=NRxIjb)};&Ict0QE)Ac_c
z<?y*tg4$Q*y!g~nChMs;2-o0KH#iY>E7@|pwLfdpg;x=IBnGow_$UkyFg=OUj(mFH
zTX^GD@WVZNN6L1xr$B(Qv9K2b56b3Hxi#!6E*Y{}8!DTJ{h0eZs|SsY3gEf|t1f80
zofc(^Sxm+)2!>Sh`$s3&XSnb-JUdr0efE)Bmm(jTl|MhrYC4M~ly}7YxbNACH!?6{
z8(zIPUQcD?t?QBH%DK>d5Ha0=n%*8TL_t#28U(@npZD81I|<d$v%bMT0<lDmi2Xih
z`a~}TK&8voZ*{d&1}vc%;aGDI@syEO)?k%^8Wl6M%rQGQjjo~#lBqn=ZJ~0e-)I52
zMxfzSC)Ol>U~ok9ZbHJMV>QqTx%Of<7MA~yssE0r`v3pO@q;2;$W9VcWQ*(ysZgne
zWRLPROI8XMvPqc<6_QOzW`sl}3E2tRD|>yfr`P9w`Tfr2`OmZGvpUXs+;8{W?YeGg
z9&Q)Rm(>sb55h}HskM-}CNU?3Iy>m-tVrLtnJN_i0eqLZ7$2n(I%dXzhkvakVllhn
zfPxZoa1j0HzTC5G2Uq<nUHtF%-B)VRuo$ntIRKuvliP!71nMQgT$mm4_1A^&oj8&<
zKIb+*F%c9P_~;^kdU4$2$JL_?c-B#&u8FWFw#=ZR@$gtHvg;;1sx?c{rcmKy)QS=N
z5HH-`*JpI?+Eo0=uuCbs-~Q7#@BrHv%itv~eQkR3w*R#4PCPhIhTh4m?>t{g=#isw
zaH!P}sX(V++T>E&D|99MQu?J$#@T7ozvtvS-er=U+oVVvmx7_e4fpKki)I|Qw+K$T
z!JxEBoxgrfcB|7_VQK$8C7<=a+Qc+-bCJ-*oi$?T6y{VlG(PQ7I!3$*n@hj{`2PKE
zQPEc1^*w&3ZVE<jZY#to=4Q!;k_bixe>e;7uDxx&j?oa8FNWZN;NZzg&fjU5ZvU9P
z*`C=SzqZrcZRgIQyhVpU-9tUcN$4f>#iaJglvAb9arqayJY4yHtN1OMw@mN|1VfO#
z7IjaNa!Ys|=Tq_JkbAkiYVPpHB2(GzZMAjniDlE?FcbYHDEt4I*+Slk3I7U%l3Mac
z-#_eo^}&J223XID()s@s!*A`Nph!atmXZ>2DfdG;nM@Fs+KC<G1^_1p=G@RyVNRsi
zrei1}8+b16W=@78Dn@aXqHmRZXnj4y_~B{xPiH>N75HJegxq@SuoCOP=AiPVhFZ$2
z=7p0UYGmFYOwjLw0v(bCx_aNb-2E(fn7=8maRu(M#CN~=@xTq=bbo2z5cN<-{1250
zo4QCeXNdZP4+D1$4?n%h)$!v;-OwDKp|bi_&wJ=WfS3{fIKSW6@XTmG%&-eMncNSH
z`5LQ&^md!4XDp>Sy1TnKmns3dYw)4gp;g7pAnT~Ia=$z!h8DLY0Hj28K8m=W`y#(8
z5*_r%%PcRZeh6f3PE?%}SC{;MHa7DDo$mDv%*@~*qhn&&cJCe>ZR}tNWLgiqaEW2x
z!($2Bu7AGnFYN`-u7o=K*vP85y9J&W$TA%wih$#1W(ori(akvbO!hcA6DzBX+pI}|
zDgd*9E6Fl;LLwq`DsAqbDWW(V7-L&)3IX)?^}e6}m}T5+Ausy7|AOwp4BeaKndErC
zLf%lR<{(_?7*%{?<@FX3MUwdE^;$W}`N{ha9<;`kRk3N?SH@m7v266}9!dBP)83ac
z?`R6Y0N*2^;3Bo_l7Ycb^y>neF)9;J@JpX92VF{$;Dn!6jyivg&MdEU&@sF=?7Sdf
zq8ek(pk0kq53YM4#S;_KcQMPLA8Cn`o<QHQOdBz0<km3LE8Q^sOSaiWOi!4F@kyK7
z+2}^gLW2~YG5(q`K-7)H2F`6e7aPx7>@s@KN!?G;$fF0Y<!%~*=g=Wa6;SUWGBCwX
zf36F1<yBxK^l;nC23s0e+tmBjd=jmnyr2<!|3`2_z0-y;p()YT7?{L+HqJwSU<AI~
zXTKDD(tqS1xcB5gGJVS1rbh;r2r6)>zEBIQ*qA>{*kmLvW}b~;463#X)~uP1B#31$
zC@c=%b=(jJ6n2uR1UZqsF}Q!M+2d>)t+N#&T!T+Lt?gXp+;pwu=$M;36liGPoaGW+
zuln28yQM@-pJZ$-OK{{G%?QF6iMuO2+!6C35L`lE9jT8AB<>bW4~O1?a09rH3Jr(`
z?7}CD{Lp2{FXa-n|Ftbawcqlp{c-hEQsR(}wZ8N>{_Oz%5LRa++%1<c4<`s3myQV~
zz3k?TwF^+?jnJSWe*kN9tR@bwseaUN6X0a4M%DSY8X6ks&xhBVfomU<ZMHA&`2Jn+
z>1W`jL^t`7@Rgs$I{e+{HfFi*snDPx&SN+E!s-hQvT(FPomkX;5}Ls6259vN3$^%N
zQt-bN^xTtKOd}Z&9-oE73Lx-!f=mCEb3EyH-nmia79>=_?lQlw{w8&kh4cQX>p^+D
zfx(SaE1>%bZd;*2-$n0hKCJBZq3A&WPF6u0gV8hnQpElk#luxcR8J^~Q39m}|A`_L
z%B^T1%tC=^urDKI6m-G+l%Ic!BsOPbq@}$^fK@<Z3nj#|`%%)-LDJCIe!*HO5kydq
zK_QegG+MPic^bhF`|c;y=Slak;?s-!G6L**$ThLivbY<3eTj7o_l%69k`fVzfDh^K
z;?}V2H1d;_f%gLL3{Z`Zi}M%?k-<B8KfzaY)sMVlCM1?&e$es5;EAuRPsUyt*ecL)
zhsj`mC15}(sTo{plSQ%hrFIvd=6>)|qi2ytfvYWPc&lWpy6fxLulV~T8%yhKk0!!#
z4^v^Z?djx==gCCoG1-t4EyPuQefL+SiZ98YT^>)e@m1k*LyikSV*_}6f}VW8=7F@2
z_iqJqa0*@su9EN$%VPRhQ@s>0kfWVfQ}fkH|Glt!Fyk7BqS+o2gJ}giLirtvPj=|=
z@SOtp#jS(72ORReposH_p*cJ@^+V`O=i2Muv#U?VrypPmLXEu3&rqqo;<*L;MZ3)+
zAfL^O0klPP>N7uWi%?zjr6c3wVCGVpNd=QG5Q)APuT~Q==bjWZeci)P4>Jei#s!tN
z!rpd_i;nj=7)Nk=QXHkPkGEfF9(!cmD-l*-lb@-<H~-}Z*;fc1P|L-F(GZtnLh2rx
z(-R*3tNA#Ng`GVXMRw1g;k$bNHOGx$^8+h@rxP!obSc1;{QN2A%(qT;pCsV9N1)z<
zn?gfF1BNJRHX8iU7-=n(gI+n}28h*+LX;0+2wmNgIkz38$G5jOFY4%&ts^dJ0z>w1
zYabOARo#DzJ4mkrRPBpP&B;6Y_fy{gU5)l7ME#_V-=;d}{on3kmj<TANt$nRh3Xnz
zSLa!55un-CGx(6igdJX!Rliv#cIhKZxq~E*&8Nf_6g+=@3?Sf6`(nkkYX|v*L6||<
zW$d}ytI*N$^XO(2=I4VITf1wW!<L`@&O)-FYXgC0cNCu27XONkoxS(c%3?4y!p)J^
zWx6LeHue}k_{wIlD@MK^<y%lf@bwqYnyC7zWcll)6JysxxsJ_uRBl}sW+BV%vV}Kf
z8nv2a*UGM^Rh@OvM&reW5CpjYCV5%>U)kMOt@1Yvv^o%M_lRnzcS1eD<Uwb2Bb=~p
zFM4dIUrggWuIFOy-FPZxa3pzUYnRN8Z+x+usT~t3IyV5o=<4b&OQzwv0AR|*C`VbJ
zdOn-t-#{nW;fIq1!S>xRbUhL@I@@a#dU=#w{%|im7PB_<S!o=rO22k^@8Na^>Q>3M
zXU}x?+Q;rT95QHp@(%~raF)9UdD-2&img{Zn#~a{9{ZFwHmp~Ei*9jFlm_K4$U@oU
z;!>2jtZiyK2p5X_vwp|`f<atE{R<A0ZU0)_s&gdDQu6sfAu%kwc33b~7A&bAq^76e
zMlRsSC2=570Qwx%gbEF=oj*U|C=2+@kA5FF6BAlwZK_ja&T=Tq;!A3R%$TsC+xu8s
z>%Q(J%LOq7#_v6%1zlWU7b99mC287Pm%fUI9T~V4G0yW_`1JO?n*v0odo$ul24q9^
zc0E?|J+VKrrMP?Qqwy!3LXh$xK<jI3)lQufVx~$y-wDYNYBMK|ADS=#a^LciaPsb*
zUh?@@Xu|93Bk7=;qNb+4Ye!E4pVo6(CsGyg>8h$k##m$XNR%ZL-gH|VfD~}0`cYb^
zPj{8yk?A_8dFIULrY64WX#3);8STJ99Nx2ePO_`<MqoBr;Bvg@IVY6J!pQhIJe*<A
z9*I4nGXJLqNYTyE5{T@cf~ak84kMMX#kcIwM}Of;s6^uEk=5tQ=T0TcZWr`(pRkks
zhw(K({fQGu=l{TxXUgKv5e)*#K9{s^v~lga^AE}|?$dfJ@4X;EwIj+hLHi)4kcmay
zDO@-W$GST^alNUXm^pBOY>x=^zfZO)Vl-0&1F0bS5}!?3k18RlJkY!G4h<A!lv+(y
z1;y)$abkqCR)d8OdABEYl}RRDQ|=v0X#St)E9K*_kaaORS{kxwiqcT?u4q9Kku4mI
zMMU)6<RUtCp%aqe-O)Jx@yN;jjMXDmMWkg*N8py|$kZps=s0^yp}@9Y=XmS0d9Uf{
zTYQaqx5EP+)dR?n5NJ4$PU4T)+3fq6Mr*O9IQ#ri8`tlrC)3HiA!h(ExclX#&_HLN
zISOu{#B1iyw<-1z5B%`Y*)#-4KxU5s+2`9LeO^0SN2h!zwaZF&$Iqj$R6X-pf<_Vn
zwrHKVC+nWIYE--nr>r+!m6>&niP#yzz$D2ta3F10+PD}`!*;6s@FyYvONXH<9p4^c
z|DU|M9|ctxnmPF3TEAK2u7ilOG^pv;71LEkjW7zrS$U=Ipr==>oMI%cwIQUK;U`{t
z2NON3oeXa>3(%<KvhA^%JTw9qi1CFBL{BJgFQM*)yzVIrra)VT+n2&Vn&n-gM~zga
z;vJ{<`K=wG`U03o<Qfwi+t;rjbuMGN#_Q>mC%=b>Z%;n6>>3ytK+6N_5-vPHQw+!r
z7T>N*!IRBb*m%y9ch*heu`D3ZvJ-Jv_Dt9^9RZw);w~c-UB+DbMPi1(uZ&-(J9C1P
zug}kd?(}If0*;nJR@85L0O=TKaENe}8iwc5R5@~W;9=6$O>G;K4gJr~4lE;-uFxS1
zH!>C+&zaiq4M1yt{-&QPj6C0M7SV4Ipv)pZSZ}4~?^97x5#Wet{F8NFkm#S~=C&_1
zn3$LVETx;l&zm^&`%aq30H5o}|0)9(-bW+BBK;Ds8ob+U#=}DFM)T^|Ce6`rB*?pt
zjE>&o8g(?CKN};>*f?FrkWs<E?`$Q(8{(+?Zpy}d;4KiM>+DT>P3is9sxtwQ&*B&9
z$<~(?jrnSY+!wDBhExd@X9!irse4z4_cOlKPLp>W@J9b!;dzW*jJ*L**fyL~VH|rt
zU5P-|+<Jrw2$mpdgEMsEBTZvqh6e?JS?Q<k(Z@{6sCDy{OH<*dY?Z=}j9T*puc{RL
zWw?co4r2C0e{kje=Q*!P!6Jy%@H?Nkt_<#cc&26V?}B%hg5-Rrbs4fQlX|A6$-VZX
z!ooE4b@ZaVW1c;}dXGx;#mngJJ!pxcwovoH?YFU32}g|-#}^rjx$z!?Ykv%NGzH;i
z%QJaKOh(|d;35yVJ}4AulGp%{c%7_ob<0qT_Qct<jp!H^oPK?T8||xTW2HPG*o}=1
zN+yAg?6;?>Qr7>`ndh@<J(au=UkJN(qvA`BMJ@qLo?{$YR+ER+BS}sq&*Bf!Ja<l1
zNa$8+FM0x`bTl<K#uqToC<aH2jt8BzuFDtA8)7^0arFM17boTh_&isbrj0{do-2&*
zISGYJm?t5$<}v@-_aa?qh=}~>+dege=MO(cqjBwf65vfYm};(M8@lIym%YLMVt7|X
zQW3j0E1|~&>};P$hQm4>SilvT2aKLQIF))$gCoPPuA1KQz4j(5#}Pz9JT^bT?TYqw
z_~vchp*IIqH_h~;Oxg0&2TLn4jYBY_%FC{NPvOvX`?qg8=g*rI8k~;D(bn1DBu}1v
z{`Gl5Gcz+Z#q~q`4`0C%Fg4wu{&ZM|z#VpwsP2X~NINZ3if8G;D<2geh5%Krdgy;|
zh7ZXqCFYzL3|4=6#g#-wXAan}wHO;n#rKc)(aQ!yWypJAHR0F7DjrVlw2L5sBwy=A
z@gEKNN09pTXp2OjN<4TJG?&X2Xo)Xhj(B$T=^3@`kbr>w<I(j)hXe&*=j2$ksq-)(
z%#t+xOv*pWW2sD+*e_WT4BPg_k~Gi?<L*XlfF=TWyuE$)l`;#qx*2!*TZz+V+o416
z!owjpm*oy4o@ETE37em%XKr|m*%C15xWir+(92)rZ8>mrsPts#V}Foz63qUe9pBRt
z5S1K}kT7+}&dO>8WA|3%gQp8*e>YlN2m`G1`?$ECMMO9u<Il^snsa&8Sf}?<%kl$L
zw*EMNqbsMY>mg-AQ{~8YkSW=iRDtWvxZ?Wq%sxbxAb*7@bFx22N$l6H!>@<oZpzZ-
z{QBtK`XS>As5tRmJ7duA`wywVxJCfP&jT^0=T_+Ce0^Mr|6Z}ce~-N*7zh@;A5SH{
zZ++P@ffh^D)%J>7aLKE{B8Pq@LgP$D(mnUnq1BPa15X`t@k@*!7J4$N$D<tztgU|e
zisnK;8A{p-%#rA$8RKq=xfk=;y*2&fZMRzo2t;EvE*zX=WC>AHQdW@B(bH3$PcLz7
zS1ul$${NUXGhv)=QrF>&3t34f{O9!%JSgCQ#1K2}yqMN*gCH3^4z4AvI)arH*}q%%
z5l4({7MsE~^ou=jZ$!=*55cHW4%ZdV(+-$x!uBZ}85{R^cD{3)Gt0m8?I7KuJh7s|
zPW{dV6aC<FlBYIOWBa4`A7HoH+x)u9T%4cjq(@CnauVa6puxc^u_hqbD6*bko)aZ#
zf=`V7yQl1JY~UP2Rqf5Rxgo^?>$B&|tZ9CHOTH~2Kn!zACf;5VFCbAaL}+wC{A_X8
zR>E~Hpc)2DumSi62M0IOD&kN1i3bk?5VSCQ!qdnX`JR4JQbOYW>$G9&uJ?Gr!9jd%
zYcb2)@g&qjLLY*38Tr5!c9$MHbA4SNhVZusLEk#cZg?C}E5d)*(0FuS5a=fC62Le6
ztT2Fx{Ci1AJbp3&5L+H_p0P3<KA46+ri?xg8{<@fR_st@10+-OMuJbzpgTj?rJI3(
zhxsEfYx9N2KCYL3fY#u}3v>-Q%@8-@AOl+NchJ_*fK91l=7dNzeu#sI4mB(vfhqps
zB@$CM0a@7?OMM~|_TP-I2`j)lbdYE)_Y7|Q4>`b9ja%=Uti@L9_l^$Ht3{cRY?khO
z9vhI^M{vyNfW~R7jWy2K&#w>8%U6QYqTtri5HGp)2#pN(&9Nq|Eir7ZQL_16E4i6s
ztQ7&64X*3fF=vryf&2wL#~c{%y&?_TqJ2sS0XT<@{WGH+)}UI59Z>VCSG_oZZW<I=
z(I(bP7Ml-Vdi0QBQaDt;Z#E~vgl!4gm6ecq<&5(|8TVPbZpx(tuOC0go!@5|jm8hX
zgJV7|DM^Lz;|67n+^%HCXYB(8<)4IbCn8sa9Z@E%iW`eLUYFA^tsBi;B5U-d`l60R
z%O9ew+lQ5^b6Oj?=<4xfvGS?Z8tmFQ`-oKKF15PwaW}VjXxY1`EVrqWB1yi+iVuh~
zQ2D}BPv4jiwbR(xSl^3Rm>qg@P07M)%P2?rGStcL30A$|XL`#785kgI$88_l7q7#6
zE*}4dGs?tS?(^lC4MxI-_3l)o4XZQbPW8$r`Gfc%r(f6HrZ6Mdt|(*vytwoKwSE`j
z=7X*ncQd*nG%7SG4GvGOz*a%21lL?@-SPkKZ+U*$#TYeB_x7t+@IxJne(79|M}OU(
zy{<!eAJP8TKW<8-0#2;j4afqMA_{xYdR`Oxr(f^1EdpDllMw)AOPOUkEYrIqyoK(G
zs`zRX;0Xx)5`%C<1Qdx*{E&B@-hcvY(@)DV6o37_8G%RrT^N)~d;7F{KM7gxq}gPl
z^8IN1=)3j2Ry%L5un<cSF~kd?Bwi;^rs$*_<y^@i((*zzvu<UesQ}$z?8n0>_*2{S
zrWA)({l(rM|9LHHbA1%I3abMB^h++b>|9(um~<XK+)>(_-8S}!%}R{T)4Hi8G{8-R
zR6|p9vOR-UJYc?CiiVbUFXHqJd(_&qX~<9ByI0X*QC;iwH-SHIbvK+pE~U~Ow23V^
zqa?Rjc9N3h>48q`bsyuK$%?PsAKi#pj!Q;HO4d?aC4|hDvqQ2_z8X)S0z-pO07bpO
zRkHzngk~yw3pmNCsy@>6h%@F<Npa-z)0YMjhz?Su@n5W89~l{`K*fVF>QdnDy9~S^
z*!i{FNmS4}*P6|3wogF>3(0sQnq5a(q`Ff+_yEy+jQo$v7J8S##hI^gZ=xmh-u^)x
z0M@F<oc|}t9$#EDUZDK5R$7Kn2f2a`DV@1HWcb#MeD}o9^||1K%+W8XYoTt9CQd6D
ze?|KO>QgCX@4TUt5%D(^F$MxxxcCDdE<{alKbY*IqB^6c1+m^i_ORCL2!=IP-4%F+
zqT=hfP$e&=QRBUQDqkw)%hi6}zh&jO0|_25Z30>2Ce%B@YJ^<Ti>D}Wflo$$WRk;N
zW2kNKdxQd4hF&lkVnlDG)E~C<;;aGB$=a5sL5GQm=g%uJ8i>eEk_M<s+#bJ_eBRA6
z8nQ|%8y^jn@{Z@AwJEsWl7h%}(w{KLy19~&^Syjcu0^i#!0{F7%oc$=XlLYHn$sV4
zvaH>uRCzW+<5vmZ^}mWtAJLvXBP>AwurVaF(hM*&ED%(giT{S15&^al_59X0{kd0X
zIo88NXre6lP^r}mn&$)=T)fCs@3hHCmSIfrTP7j!ny;kmbJe@w3fmwr0M`tgw<HY^
zWkvG{29hkw?yz4kdwY;IWLwZBSGP33x`B2hMW^da$Pwe{6O|MP6;}d{xaui)+#eV)
zdE7hf+w{2I28A2hP=Gz=m)OApK==FjwcOPcowi4Hf*Qx1$vqEzeB26}><Gsy_p+M;
zxHKr3kav{>i~5Zlb9Oh5#xKmz17nVijXiy{mGI6`1X7Lf-&H?~%^V2d@7^B=)qM99
z;9LL}&T{?sA?ibbOVCh@n^X~^ETOQ6ldAPPjcm2|Ib0m@dhDU9#Q+0*NlzFkF76;H
zb|dRh$QcTPJdPMWI{C7G$O-2{_@GM(+OeqU=u-~|Le@oeDhXmVM)5(<c%_Pp&ZOw{
z8<U3);VFd-<^o{mBiBGhFR{okvl#z5F3i#bgg;)&N{R#5eRk`0AdUc~ftDI0G7O(9
z?6KR<zpD9h_kpVrevk}rCE0^LC6<Cmj@*UEG~m?z4<>Bk%tS8qQ^<;$GWcD(eM$;0
zwn;3gWj7T~in}x3ya53Szu?m`qkDl@Sh>q+Y9J_}C-jxg@GeplY6eR5Weoz#ZZ3eU
zK#$kjH3jDI&dTf{y$hb1KfCX>9!ldBy}OerI`25YDZvqfSQ347mNT9L0s<m>xjeYG
zadEbcP8`W@4!rn7ip2XwG64eJI2zW#()AbizKvu`^z@qd8$-$@WnW4VLy{qzK^cG;
z0i7hwctqRPjT`A7Ou`#1kV%G6&ztCB<(Gh862(xDA2XI4oePcw91HH!!H|w*A7PrK
zcaE13qevxsHvmH?vPKGDvoN5q#c!GH6gSX~yxDvFALCF$hbb7-h42HChJk`n!|OJ2
zVl&rf^)}YUHCyC5B-DK<1We~ude&T}*d4DN?W@q!4~jbZ(&0Z_+rJCX{wEq*R=;{R
z{!GdnfV#J17u5I|OANC`zFErY#*V+6IjJ2H#kUmIv8qJVNJ?ns-q2nh6EXsn4_DjS
zs1I?z@9usqd5}j%qfs5aKc;|`h|L_ejY-@a(m0F&k{M^N(ZM-4aAHp?Z<hAr@@Z)h
z8)y=vIjPAE*tTX6c%y1>o}Mt|I()|>tf+i><>chhBJuLRFjvN!0248W*0X7CT~jXo
zSDmHy>=?+nw;H8BVNfj<tBEll-NTu)XTg6hwZ9-ht%W2@HFb454k-<h=!I2Jon>kz
zvlyN9zbrHdX5!dx9EDlSIv)`)7Pa7(5{N?OBZtU->~&M%Zp_EzQ$Iw@A@%x7ju8Pr
zA$VjGWd6X`<y;_SrgeJc@W3<R1mZq3<2Of|*a;UU$%H-}CvEyveejs<tr5*crMsVw
zr?ssDi5(ptCSjo5eZc<%)q{o|Dk9O5d|9}^@f2dzjbeTY;VdzLzBxhuuBEb4q8CU5
z5j0%*A`vHpwu_h74Esoc!5qrdTekiyU+FE~J^Ryj#jMgCvJbvT_vY24Yemo+n-Y|I
zA5>SL_^0!lpv!1Cz(HK!UuyRLkhD0>%XXW~hcCy_$k5Yv5*7q_a<~w;F@AyonKUu3
z1psKK*FYk**x{+3x%Vu>tD>Qoc!Y&*!RcO^=et6drCW+>4PuIiM8GP^S}Ir<b25lF
zL@K;Ts0@VFILA52A<Q6ibN*S95t>-*>hJWP+ln)DilCy?9tOGbpcu=}Pj+?1{sfbs
zJY_dqN)B+|%KI&eOy>hAiaqa~2)~Agpm}#}5XZ!X>*IDsPzGX=P+NhU`uUMJH<M^g
zp7#&tp*^7|7DvNf(50zbI(?Ew8wDl(68Q4JlU)n>B5CKd{~vufK_F7+AgJcu2unR5
zT9#|Z>U#26zl(}e?snTe=eBZ}D`#GL*qMx=WspXk(PvoF+R}B>5&i)YQtS2Kb8b*5
zy!y!OW2qmY3PXiU!{6voPQ{8B7*ywu@+jkdiP2pASyd?C+|DpR)TtkC)$8>P?zocP
z=@N6%*TzQV0z<y?bH$55TI%^H#KmZap8m0rV2>ryp=`=Y(ct4H_d|_`s_dUY0?$}C
z(PaChug^YD4_&i{cFdLO`O;_=9+V87bY^d(oZ>E9oFTzb@(0IrI{qs(P%bzgK}=0c
z#ScKGW?{j1!3oI^C|nMKdrBTE1YKDMmD-Z=l|FPxqjMd7z+Spj#1Wy};l>Rhysj{|
zT3Mwcxqt#ZxSN}smKJSn%AY^iF}vxc%l)_p`~#1Q8Jl0rsIf$HI8TH|bxjS>dP@m?
zAUO>dzvkQkya5w?{rc0D?<JYCcVQq9;@@hS)uQHU+ta-|qG!lPSkWE=MEE#5nw9s%
ze5up=t{s$BPO_fljTNdTpLrr1AQYoD?!QpnT@Fn>zVv*WRJ!WiOJX#5lFl78#0331
zJzf93^PvmkP<bGlrshGOX@gqC;s>+LXJJR>kB$~5%H5{&&b-Jf^6-p^0#Pww$jV0J
z_vX#vLW8?nfyW>Jic@^q^7Pv5kOeJl3*I33!<5#D$=jesNZJd5x^52b+XiYLQ%>3d
ziugpv&a{bvK`@tz0NlJ?K5vuBhF-;z1XKfEDy5Buk{J$yKedD1hjsa0=$Ve2nf=1>
z4}ZwU4;Gr~kYGOHRT|D)o27Cv1s*Bxxrrwo=8aDkpU#y0u|3Y;*G)&DPBoO3y~8X^
zckW)WL&d59bo2E?@F*b=B1FALO!J>1j@&7GiC<ZH8(CMwvi6raMncten4JYC6+*S#
ziRMpS@y`|9zgZRB(DGSme<s3~N#KdtAx8_~3(P(eqzb8*uBDOiWPAlx30b6J2J5M0
zLz4ed+{7~i=>tB~n=K}u+qWndnh8~t+W9RGT)_<DpD$l8<eBUdVQ7AxB)uQXM~VE%
zBpxEaeLj2l|I8!F$;Z<{DCpY%eA|%08_p36L1AEMD5NpmVWas+^Y1Rw^n2!n%1grw
zB`sZuS+yn+lBTWAn4hzA_5?O1Pd6E9MuNqEThFz>X<LO=pEXX#|MYnJBf75{IHJlV
ztKb4rc>WKCGRuQnS&xsAatG<ZD+`@F{HcrOW!Kn4)Zq|oz5do9tN0x3iNDMr?M|#2
zybh!n9+b5)cn>gxpGfA>Ie+TZ-aI`85K&LhTn1~?{&2&H!soT|wR4$mV~DXi53V2V
zB|uyFm7oPyQ>(@O4TTb*0C*VBo%2F$AjFpZi~)Z=?t%fYHA6NBh-QrUIhmP!V;5Cf
z|8CypQFgXF@kuNgM{CuQCCK-?#=^J@-=Oe-Z*QiTOT*dsT`hZhnu`@LFi5Xyb7ov6
zsVZH)48$B-q0<aU6<t3Z3Nj5(2(=R(_)+=NFueyA1d(QCinc%Bj^XV^>|gnNnr8ZT
z^616e@4TdO_YucpB;nJm*xQSE`^u0nJ@s&+D;hx_-)@zZ_iZH686@6o`v8;lALFVY
zTU^7@06Vg2(QmwP<IkkQiwd^xjj*df=bF+wU6eAqtO|w!YXANXtvA*dMDAT?f2A{q
zvFI&sR+PB*qn!W6lc)$XgX1Q~AU<v++qB$H3{OlnhIpF6M|3-oA#sIr|31+spT7G!
zbh7X`=DN-O0-reg`*%+XW9v<+>-%Y|PhJ#1MwYCDDZNcmR`2H$o^neoxD?%QHeYr7
ztKP&BaQ;xyZ_`^_#|j-hy=XKmt`iDQnSP;r*8Ua|sNe_?VcfeMa+dEgLKulVG5U(l
zr8r=yfm5KM*nBRFbuCtImuql!nQKIJbO%!1@VM^_CD;2%+Iek9DHFimia9|-kNq;f
zWWZwBjY0-{VM<zBKjMxNKC*Q6u@l#+&uy6FkS8A-)&9y*^#5VV^vGY&M(HaqGI9QS
z%-TAEo$!lHmXU;zsP>jrfYUkk7Aaf(U<fV25et&m>RO2!e&6}4ZGd4fTrfQv56Ug_
z@ng?(oBQrqbF*G<-=1qpcxq~5V$sh^a)Csx$Mu5Kmm`V7(stqn5|WaQO$Vh5-)3gM
zRYMq3BfpH}hn;(vosP4Rut%9vkodE+kz18kDrbidiAnNa|2cDPM%lB07&_S;JJ{E_
z`fO(OY@0LA0wV34oWz+{7+G1Dv3785(c>t!k@nZ|^Ovve+qchaYhx9q@HVuwi$d#7
z`Jr7Fm;AQj1}`^qnEgeZ^Z;ebOr~Aqnr=9FDXXeS>-CfUIFk|*-(FdcoD!gj3AkUq
zvbb6rH<KJre}&>n`#6Z1f`VI|&eU}q=d*N$o}QVI2BpvBYN@b4_&%O73v288>sGk5
zQgm?XXA~9bCZE^qcWYLC${xJKU4i>$4M0;Lm8u;fIQ0-t!EluF>J{^zJs<LSGD)V?
z{di;r8#G|E=g*%5SM-Fm-({xHjx9nbT^P8U`#doUk{BxW^Cud;gNy-Od-vvCE3Ff}
z412u-cMha{nc}Ip*)G;ckytF-)vxhqdY;`UXna;k)YTaA3^W6Jhjq1OhVFO1Qtx?M
z+D>?eo2E)gJk{Nd&`CWzN25@{opvtKYKK@{Dgw_zGizSxl-uTBq*i&iuc+KNFM}xN
z0Re%J39(QFw$3ikE4{V5=2h%V=&A<K>dEa9;cb&sYnP2BX9<$N`CCI$3*xrwmqa}!
zNL^522*-p@6aPr}oFMrs1$Re6eEfgU?iMV*9c?ukGo+`d_fZKqPXC;vS}*T3gH;~u
z?Aa_;&EzfgYL(|5J3k3liynkW8uI!It1ldg(1}caXE=?|1u;8%Iy%ICN_KXe8ylKZ
zF-x;aGuoP)_+AJL>isY8vAelSxFpmd2LXBx&?2_x=1{R;)j262lsl^U(5)|<<+o3(
z;%ry{$~;d(VxlteR=m@@w;yedhu?TW8O!#LdBXaD+%FeOwd8ZV<`3t>2aQ=LuzDc-
z(fF<e?gp7~-Ww=yL?%+%OG)zm%8J|5Gt&9%isP&`Ng{6BH!^#6j$C%U$fdrh^14Iu
zwhgmh2{i#cyFJtwjYRsfr^k?>K&M(1F8v1w1uvpL(skO<{AtjO*CQiV(62@}646@#
zXyf_^8MqIs5)Lrzdgw)gTX$r+-z(AJyu#>JTQ|yPUfG|?Z&@x&xW!kPl6pU{(>g|w
z{Ym2eVt1p<fGP*#oU!_G-^R;pU`cjVZ;JtN#R{wb0_(8jr^b3p764D;{j>m*jDGS&
z>`-*fNl&G12t=SjwZ7nXmu4iyuV5E}Z&<IKbFSkFX3Q>}r>pzwOf8Q;#BEh*Aix>r
z<PMk#AU*bE6|S(_D*Nv4<;kxNk>IL$=qDh1?AQ^*cVGE(Vg^storojBjuPJ!7p~GD
zyrnBHr#Q|*@D}Iv6g+++N-X1Wte~EiX+c+TK0h;+ovm$53WEUixmy&edxeSu5g=Sw
zr!LHbcUs)^#7~}=VWEUAI%bMds|~=z_U4Qi>^7D)H5o6(^5_+~E*L&2ADwGF?SY9^
zF2NqUCv@HauHe8ITwGjiAKJfZTn&uVO-*^)Q|7*aC#&O!dnN7vX#sMKuLv@qNY2HB
z0V=hkqN46f9^>C1Yo14@X5Nq}D_0`?uNUhy#&T9{==9X>+N7ekL(j02l94^QZ{Mwe
z0B#bt?&>G;rYeG5zVF-@QV~z;=$IsUSW&SYn|DlD|56>jsN6$eQ#$DO2D9C5BoG9@
zur)uX@VI5C_x_W9ND8u=7O*vTYq7DiQyj6sZxF<46f-<Fb|ZZ^sgH`ADw0izx#B1z
zb-qOL?pR7R)P9Y~SV1_}__)p4)BCz_-En9s;i9v~unx%gtXIv<jCT#GcMJW14atUK
z?!>i~-hf384nNixbMrD9O;L83{#WORtvF#3y?5`PKxq;;m0ggVh>#H3*W$=kIs4FE
zjwkP>;P3d^*f;@Cbfx3q33My(^<CRV$!4_cY7L*Yq%Y6S>0@mcM#R`lafA0_Iw|_J
z1+!|mf<6gXPll|xhzKl|+~t+b0Ee7S*D1G8F{F&?T*}bmzHq3Y7#PH0S|%VInqb6b
z?{V8N_T*dxH_8y=^Tfo(o#qefZP5rU`+8G^&>hS+trdClorjO_qaLBnrVvkOtSaxE
zQ=M1Z{#5yQT!NQYgmzCX@$TObLk+vNfO$m<Nc38>;gJ#i2#+a*28~H}SMAzCI@s@%
zkkAWZ36{;UC+fDjQu_J%=+~~Tzeul_su`pC^ps(CcD4U?R(*-^_Y4yUhe`<Q=0i^a
zcz)>R2bH6CoD}v1<_S74`Dl2TQQ?LlYGC071@UY8iWyZl@C6uV3~JDHlMh7dyWRWK
z>vCT)&yJ+;XQ1L}JRsvOI1UXe?a%srW<!<0%yeC{;I@EP-0xq%=5g;?GPheY_a1>2
zW)#mxQz~sS<6D4om-O}7U2B^HDZSg+&mXO6Y;5d&@%3{O&5f#HYA5AU74io^zWMP;
zs`r~o+}E4oV<N9N17^XZ)uvg+&Xk&Z=`ed<+hb}bLYD4-U#nsm1!VLZNm5f%#Eb5D
z9Vy{dV-`_;x6jYl{Kpkp=yq|I$jHcOrzBh5qO8bARKK{u)xVAs!byD(kOnM1cgGQZ
zerNiafI!aXl^gU?74+EO_?Z~y`|Qf)&$G>Zsyls1b*OU(3C$Le`+iA~?{GxS$^jFj
zUprMU{4oiW<3}jMUM?>0?oeNWJmWgm+aKqMDlUTK?c1=KYKxw*zExd(CZvq&JaeIK
zS3Uy4f=UW&q6UW}{;=;T=VrY%*GBnWkb#kL9x-nUo!^ONZxg#`wijBIW2M6T`uaeG
zK|CoF8k3%t1<c)Bm3McS*_w&-g1>ecwM_14**$FYK-U2rqrl9&r^xza&Ce=vXl+qA
z4_Y-?*;d8H&i?UEJm;-8=-)B(#+YV_bYq2_yetfFrmRe%X6aFV(4zah%}~=WcK>4^
zF9Ga(gY=5srkCg!o?6q@u5uv`Z5ex_l9I5BGcs@X5L@>4&+DG<42d)K-O2|J|5*|k
zVWuSH3U1^RB9@hyULKg8GHhC-!UGi)5CBxFX=!hPXe8mGr`xgQ+%w8fzf`ky<DWe%
zTVWO6q|K&#opmabg8=4&MbyZ4V>37`ELwxFLPU0Ba7xjdpi0`r9`O8l%={q$82&Wu
zX7fJd&T>d!#cT#cQV56i8_R47(!tXYcA4xT^_k5{hCTwp@doc42cfkZ%I+~rTAh-r
z`&;FG$IjG-dBu@}@cR48kwKS1IDjhG#xt<nV&lOzfqyrS2-<<*HR<;hO3&#;4-&qP
z&ACb__4uH$Qu<ayB`O1xxwN!+8nVdMK>pFZKecI=B$)Z!$2|Shr%$i5vx}ZLeS6Pr
zq1eDg2z)`@r3!)p(v|c}KfixRyZ;?ANZ#HA<YnURM=h!93a{g)eGa$#F*<XPq_%Pw
zshj*tYh;8MFJET4QmS_~YQF!O-}9KQ?v<i>LD%2Cnsnj^<D^zpCa#lbHF`)-(8hiA
z7tboh4PwaU?Rqf2^@86+(`iB5z?WeV8zKp|r?@*z!&lC2b^s;r5LF9J)%UGgrw?D`
zxHLXEq>Z5k#}C9l^X8tR9!F_dSPPK>gva@#t(w_UJ!U~FIYmNeS64ZFSR^DQexE}_
zLxG-si=Uk|Nlmw+J#6puLhxiZYhBP)>#otqczggLya$>URxh41W5?-eelO7fOvu--
z+7hw0*iDG&s;8>F`kUx8@DqA%Z@LzIlZFK1Ep1#Xan%a?AWqJm4t-@M$i)CIA*NRY
z1^YSPh==Qg#l?f;j-@}J+>7CSFlNjnFMkJR3p@$ew89AYnW*}s%HK5&T%4T^^DP>%
z3#!?&ofbrfnN)gfF%$2`muC}#AHQ#P!kmzO?aqlEViOAk)6+%<25|-^MmldUzR0CQ
zRFwN5mXeYU%($G>cq<-!_LZgp{PE!iS<ibqzP}ECk$asN9o9B)h5UVKNhgWDT`2^y
z7p3WlpnAc{OBP{}gfm4{2)&eSzq*uSMc38cEo%5q41y^X1Kx-y?cWHVckdGSpGy4K
zfyfL(rpI*lnq|@*f)RUwgBeln{B}bHvoXj}O#!0k7CE8j{Rp$t^Z(!D?NHs{Pt+pf
zIzrS~Mtb@&bl`Z-t?vc+o-?gukPZ6!sxI$RW>?5J164IOBz?mV4++@4&9&9_b>-=4
z2wh1By&fSFq`@LT??UH%T`z5}ElcXssU&#;ululq;@fw3@7?1I9KhR2@r#ULer=VA
z?9H7>k9be88bC*dzu7!L=$O3xDRuQw82ZII-_mKpe4GPB7fA81n<bt~#yK4smkwL)
z{O$ASTS_AgTX_6rR+%zA>6knowD>-+>zdH3VDi1Zi-v|v+J>3wXYH;_0yo}gE-zI0
z)}>dn`Fvgx#Ael3llgghs3CqQ<q|^EbI>Gvl<Q_#+S14FTl7#|cuDfWt?rXg7T1aH
zq#J9{M+6sHL|IdqUgXL)uH5>wW|9CT3iEWHpsmMZc2`6qwZ~3#!*fk5r0|3w`rH-H
zpP})=yOgxF#Lx?fJ|ZI{Q30>VEzLSkK$igb&eYUQz!F3wjV&$PL&9tRaW_V1EM9;A
z(<%OyVdT@h-G)ttZezbWT{Ey(VFd!rF8*QaqF))&4xHQ)T<;&YY>}&7Kmpk~Fgdv~
zSHI7=+(Vk5-<MKiVQJ|(s9vwFg~X*VJ8%eM=8=X0q$l8oSoT467yp+>`1W+VlVhre
z2ipV%63=@<em=%%q2K1~SJB1znVj2Lk*mv52jv4#E9&2(UW$LraI4O`)$PKnswz;I
zQ@y1!;^KKHe(Xw$w3LZ$?jxMPc+q_GCUC_!ZvtNko;%m_qwH~E>Oxkgm0=0KLF|m}
z^W4F7r^e6PU^~9%>z}VLPwj}z2zI~MaAefrskC>x%kbwt1czX0<EaqD0PUXZ5UXJA
z+n94Pb!fb4I%D#RB?(;}?$@oYEp)pF+caG-iW>^4hLFOp(%KsF;x(Q|K-%YCwnCH*
zr$hmJ2kucIf4-iou99Ah0e5G$gk%1i9Kqy?f(sy`q@*N4PCxfCAH#E+M+C^1c5N#G
zzC#>0oe5@Y2kcIS9k1Me-;b#W8U)LQDMez$!ZwN-rn!B$j4|8#%qpJ-s19yGRu~04
zYJyRbRNRioh3^l50<3JY5-hfVMPAjlWiLH}APL)^cjAhQz2|i>4JIVqMaPTs-!JoD
z@the|<k06?bIxbJBh3lj-@hZ8GNria*QW8{$fK*Y=cP!!D=W8Ql7T6o_6rB;bM7Bh
z(NF(Kjod_@0bcaO2HR}FhF-Ql+QHBrn=>#$+S8T4srM)-sBO$yRJH$dCC%T7hqX+3
z9x@=}xL8=0_-5jZ3JU&51h=u>j-+g`IgPkceCZVyU#di6j?O+msn4&MM@@)<Mij9e
zkl5XPKCjB5{#MWR?B}`?VK_7)9)r}~0eu1<Mn%U9xB2N?XjH=~ENEq;0t-4wOy+-|
zCf|!M=ijSz>=Q;jTMrVn@7MRCP%k6@+171kRf~qU^covez!kIE=9bPo$5$c8MQZFe
z=s+p0bCYDQw@6+``26Xh9KH1&*e}XK{>_q8n=wg(XR>syt*ybW!Bper<uzoHfy;!L
z+KAqQXyf~@L&UP6)`cUEP?h<kIy^QOExXqlK1Qn`nxI;ozdJ<lCwRH%&BYaQPQ%bT
z!DD+~M|Wx5%5!0S>UV^kq8{@-IiHy@pIS5arE`GWQR`0o9<H2s$&IG0*CF8%6B7dn
zTyx@e@v6P^5{bWWzJca7ia5WtG;4SFW5QuoZjQJRwa=XS>AZt!Ehg2c<N92GzXSbe
zw_rn&j?bauBfTxBo#prFpEcx~*8MNQD95^w3b^evJR;AUQc@58{~k{>J>egSTTauA
z%|}56=zf@kv&+^cQArUCCx#)|iKy8x<Bm_4XQK_~AIM!1-U<|Knq-9aE+Kf*Z!e|E
zH$FC#d9ppdZ#&%vwFqKt>G~(KbRj%QO-icLe<)LDcAd?3_0yr+s3DCe)Vq6|P-QZ(
zuvnGvKKs^mZ(#ipG4%_*A;vEBHQ(Z;2(GTngRoe$OV-)Whk0o--zXpb#soVHnAXo$
z31?`J2ZeMKY?uiq*4E1mDXJ4OhJuokOjW`AM}(AR*#28qXeJa=_&R-h>-@c|%l${D
zJ~0OBMPkI0kWumjReK5-AC(913wxQzPF!`@k&~FLl-T06HkL+=^<GsTh`%EKO@mB6
zGN8kYpk)s81>#2ue?7_#vWTmT@q_^cWu=(bMci!y_I02^%lf-fk%zC*XEq62AULYL
z(t0mfvbk}2&Pn8-iMXcs&a9Sdgg-4Kr`F~D+AmK!sMGe@xn{j+y^efPR#sN)*_Y%4
zGc(F}mTZS6DY@tlN=V#912CGO)EX!LYNzAjy@ZD+lDiJhpe{f-FB+HX>xsEYJ1mp&
zE);F3Qlm|=HEze1drrBadO)%UpaYW;0G$VLBhaw_nz*yRfR7IfB!fINHBW=PVa59g
zj%PpAr5EAk*ee(qhcL<gA%fA3dr`z;L;q%+x3Jf7W^VV#cG5{%GGJ23c1L96xU)eP
zox-h)uiB5FdO*ISu=S9V30NAWiZ}WDe=&#*lX(04Q+UJkgJygILrSFb2UbzjuL<;N
zNsMQUhHi4>DLkkZ_kC@3cYrFhTJMv#FL8HXWY9kOPH;79#`2@H)N=qO<mF4@mO!)-
z3=`oy1*@5;S8W(Ec2qvcAde->JG>1=iVF%P^KKJcV$#8VDp|VNiv=BmRf)bpBuOr-
zUgiwX4#H473js1zU_n1`aZ}e}$^4<r>RL{G6w9<@Fidzsap29lR8C(kZx$OSsqS1e
zUOC%)p%*y_=(>f>ODj*2s9nH>6I_wfF#+iX>UqpFYb7Nmz>L9xffB+jV$BMWi`CSe
z6l9hNz277Oy{Zl>XG(s_>U70_RvlT3f3kI5@)M542wzeB*e-Nd>jE=kG?5n)gDqos
z*e|ZfA6qt|B0#Pa|MqLX7E6$2jArEb>+}y#7x;PZx7yu(+}8i62W%|m8sB*r>MDsd
zJ%MPTc)k#)I68BTdGFp$Y-)~eY5~OvizGZV)?U8TB!BkO5Ux-=9-}7!s*!Y`w>Sx!
zdun209r7|O7`sza;QRAY`3hD6Do#n>*wcOTL;D~HIlwOFqq1V00uBa!6fcPt&Cy#=
z8tb0zb{l0iEcbXyS#cx(ncLgbw1lt=M~NG~OI_@=wdvIMzd3NC>}zN6LKi***olw+
z(V@ZZ3aAI<wQ>Eggn(47+O+-qnF#0(?jVZ{%_XRVpN^x%bRu}*8ca>+n43aM?2f%Y
zKiEjNGWX6NH$iiAGj0pJJ6>X?PY)hDwhD>urNcAtSw?>U{#XYIhrCN&Fnd#6KymRh
zgjr}r`a64iI%x>DEK+g=lRQ20ZX>_#jZtN^4BAamip$4zTU1}O60X1PyhE~YlO%)%
z+MXqVIZI1;eol9>Sv3!?7_waFz~7tbIgdn(#|;*^02=2m*{ScY-qaL2Xz}X|H_jIA
zouZMJM4}G}Z$)#R#z-4jP8R7g%cL8-e5+9!Fo31p8g0({OIe(kH->M=$f(bUdBN|S
z7eA>A4minmDUO0eR#-I$I~n#{Vz3~FyT(m0?%G!PA3V9OEOzG>v9zeH)PEgw1_}na
z5xqt*Tg~uIMcn;8J-RtY30Fwsj+*=I;wh#fXm04hN`nqQC@`pheNSRJp(uhs$S|Oz
z(qG*l8A|#sY{_k7_}r-mCaz3l)MoazY~eXXG4|~zX1@;)zGPifRJa}|A}U&3TwICX
z?DJD0<gwEDqoCjxfsqQIGK73i)~g7ALVU^FRHw7wI+R&vEvkOsw5#xFe16p?F!e^3
zt~_Gpk(eW0DxO<#Bgyn0e}%#>0>n(keOC#Zqy<HbT~tVwfPXNX<istb^BhOUFDD6p
z&aJ2$UD&&K?~S<ZtSsq<HosHbc}h=~%+1UYc?|i`^Vrx1+hTe;I$X?jl$1C0V_&>R
zTcyauV}jPRgX(Dql|wW_M2MSzft=WM?F)Q?4+JlRsCeN9_U+E^-(R(jecBR3z0MUp
ze3+DB@`e%>mFtNL)MaeRB^l_sU3T=RrnF+nEq#K?qtk1nh)4bp*}c(B6^Z_@<zrue
zH}Jg8z)3$*1Pklbl$|GiB8Vfzja0}cIs7mgyqG&o=B*v3-2CgMGJ)qir<RR|!)L%$
zFc9WlZ{?-)Z^PoYTcg^9#B#SVt!xeNu;;!H7$%m-ih+ycB3@StXi~~Dh<c{%wFLoP
z>J1M)Su2|3-a_`$1D`H$M5)x*)&1z`sKgQ#0;0ze0oZ}hxr=i~Ipo8&4?{d@H2wQ(
zr}>DRk*v+lF(B9-FsGpK2gtpRg_Mek2ZFX3DnxQwlm3j@4b`JZ`SR=-lL`hlRFAYf
zt;*k}GT-PwxV=s=K_XLAA1kO*D9DIw7jt(ji>k<Mmp)}Gm|I&Wh@q-H$atl~qgUbS
z4%!<p{jAJP76K6un}BED)>imp7LYrnCcQxV=3>JRF-Wg~xLXa2sFL%n^iA5I$}t;d
zhw{hj0k!a`3pBaHEN2fteP3FtTqi2&W3qDzt4FzA_x(EqXsK}rP+G+*K^_I`Cc2S|
z3U2TC_^UWg05Pzp0do<e9qs#UXqHcg`;U#uDMs1WYaOe@BsDYRAebh2SXOog>2No8
zzQ3i<(0%;+gP$H4fL4`H=#W@jk0SiE+vB(Hy?a|Iizmu+o!`X1WZs#@eXz|G?m5Nb
zIx^GK$|eHiSdSHXCZ$hXZ;3`%tA4_~Rc41}@%i(8&S><prV-%tpy{<@MTxqX=k+sX
zKCw-Ri|b)@hsJ5f(fGpWmKM>22h(y_Mm{jRJ=#4$ew13vX0qJ7qvB)&Bf63V3ClC_
zcbb7%_So75Q8qR=<2Wumsng$z)%ulVYAms_xp^vtqxK0jege%clf&G<M!$V-uPKrS
zy@=EyV(RR@jTNFOXR@p9j1I%d@?8j!p)*0X41V;84I9J2<Mb5%*Rd29{l$vY3ORP*
zB#RPgam$jPg!2ornSZYPchxjq3Ge%u7yzu0=n;cSYvFUDq8x9Mn#yd^#ZFfeXq1qk
zmixps&+hH~4SWIEuVsBziSC|b*trAoz9b3BItTcpvokZf<eXm*hQsHnCtLwqqn7jU
zxjBudIv?iDH6{w3r1rtu!Oks~kzmz_%FUMhjSY~>4Rs<G>Je>)?2igt;>Xl4F)Z;V
zXTGUGm0bREpgqnBhAjjYUYCla-+pk;dVeRA2;J=M<IX$CT|XqB4gbw5o@@Zx1x=^N
zjLGEHKy9Oe+~XG<cbjU`@3M0gV1f}G3B6)^m*r(;XWbM4LFi@-hrEtDndJ-g8jdEA
zdd;4X04iaJlBnRtR2CDJ(Nd#b!^L7V@`lY1;^VuqdD&{$`UIl>?d|Q4&wWvD=FMXG
z7B8FlAct-+i0rz~ONeuUXCLL34ywhS*Y?h72p!w#_;_4oBs5vIE^PfwCu;^ryz>p1
zpFRQMhxNU^ZvM{Z=0m>JtlEi632^cyCc<Wb)(I;ffL+a}46loLzZe)N9Hn;Ov$7_p
zv_&na_#8~qkFq0@^gW>UVW~JZl>^L*gx7ob|DBzOKX{`Xktq(_G9P0AGE^oO&GO#i
zh9Vkl01Cj33n7qBx`pPr4#cnp40}ne4}{4ia5uXCT9L+K1Mn;)5W%hq-0PZ<po3ia
z{e5ABX-u*a<i1oymE18dZJ?T&ZqrzhisDsaEhey(C$@us$;cZK*852{p*L@DhnX4~
zSVdYvPxr(kd?GC^?bOOpmBe34pO*|vq&wUPVtrn}sVOAwg`^$yL08cpFM*}n&n5J)
zZs>oT<-V=Ken0}8b;9mtMR0pK_~>SyTs}l+TsLx{(}{dyTfJuwpbx<M8><Uf*Ul7L
z$!hM5OT8_3Eq?FrRnINV$T@p{r5hE~D${;HB<?CX{v-xs1Ed}JlK%|aL)PHmeNUd#
zqM!>295^y~fmXIFAeGeTdUfNc-btkT+Wm+jPV2{Cwt`1NPgF=;eLh$teRK2ghg?bP
z#f^1#zER%8hu`4Kw>>J4l`n3GJq^D$Ot@&4srw(PpPNfeI!=tesIRYI`Mad-a&=Xg
z0mOD>q@+B@#kJV<F3DZWi7INB?T{mt$8LfbCPm;B_!TE<stj~lCg(B}0y^q@xJ^#E
z(oEmK7VxQ26miPNu=HwcBO;|WCo+~=Jn-y$X7pf9k`ZGT@uS2wci@4<BlINO{)Ssq
zJep!i^aG0m+prfbQNn+=4N0R}bU!LSa2%1N5{gq)P>9Jg0NICtMhZGE?7Y}J$uLQB
zl~a(THB%RY3mnZlxA2-lB%xs?>zKMzTT!G&bFDAu$}peq^a;~F7!L46*lcKkBSCP$
zSDV7sojV`j++5`{{B+z&8qzbwC9hRei|TninQ(rOZyZRk7Uv^n7IQNPn(4qa5A!t>
zi|AkKr*FZ;g$&4;j!8fRK&XkCn4+TR4nMWBwoXLgElwb$dRRM&8{o5$@Udv$MD2lY
zy^SdE@1*CMC$LsAR_cb%g!0aEBjc-ACuU~OUAXiw#q5}W&3+HI!PDM)JjCLMVHX_K
z`d8S-aGmMtecEw{Bp1CUq5u{aaED>XB(ZnjpUhfdg{8Hhh-abP<95&CCJw*BUY_3v
zin+Sa4I1p1<!Z*`M;mVw0^E+c1Q;LkA(bkB4R4ckf2q_%xGEFdp|wvdDT$qnH5FTJ
zd`7wWI;&WgWrX2kR&K5%m?3;snjS}Rb7R*P)_nzZNp^3k38v`8hKE;~nl5BGmR;Ft
zS}@zNAe%^r|JTEVxL{}B>tWrctWBHxlUFLCD^F}0U04M^h3HefGzZ|afnLvVmzV&I
zx_DNgMm~K2yH!eErsS~j0I=nm?*>o$&F%-@S4Tt%RO5)1X81NaHHDeRD97Q8qro8$
zc4vti{kjm$c#?+?kE20k>M;AF863DHerKGz&e5nX@-eL)<m7-|Ur4jsaMJU67QJP#
zP0?K0VfNpD-Cw^}O@178lr_jIN=+SUr3}FUw=H8+_#PD|DapHGau?J$khV_X^Ap<s
z=(?ae!FqWpjfsF=zXSp?a0Z*lG2|L=b5AV2xWn^S&hYU-Di^bwR{YT{%b%~-Q?qU9
z>$JpMe)zC_d-HRCH~XVo`Uq`JZ{WTUS0L=&5KDqkc~YNDfA>)?ONFcHJvS?Y%k$Pm
zWv}P%%FO!B)I#|?gXgP@Zk4gKvwPRBlx@>g1z!7v-2A2{L=cwWADpqN7<qE<-7|kA
z?+K7kqqoB95N66;4*`MYa=W%`20_E}PQrzQh*MohHa8GH5}21E33q|R6>HCA?`$sV
z(qOQ5G}(s!9$Ea6)K0R`5X`KAq*B;I)3dWv1wYr+9DuIo{m?R~RP5t<WWVw&<xW#w
zg4&8DN!{Jx%*Ss4#|PtgA&d?91*>;Og4lZsRnp&A%v#*xojzhrG+7Me?mi4#WoD*@
zL2h0iB|W_ta4Mu^W;MTMhq(;GtXcd7#$|31U4GwixZsVu4VQsc|0?A}FY^DtD`dw4
zk_7~6Vcgtv5%FJT<>i~3n*f$>#5IFkYHXBz#6Z*Zd1p|q!Q1PtFf=|151*|OU-LJ2
zZLOX3|358&5K+RQm+RedxBW3zVnR6Qs0Z3wJYt!PgUMH)(+Nl>X3}^q;T=`|{fS?!
zjD@~l{;YZNr1-~cB;F8D<A>hBr-~qWwGY>53dxIq&*S02O?JenOjb(jZNgbGDXso@
zPA4<k>HY+(xJvGM$E7(H*0PM2VhC#all?!RiT6z|+0;dTJx{TG@d3@x(-T+FO<e=J
z4)S#2Ku|3L9L>#~Q4sWmk9G+YJx8FpU%lcxdH4=u_YnUMQ|(de&6B$a{N(tXEswYE
z5{Z_#{LCyc6{wwN&H=Rp`CyTvSX|%-=2i<U1G;TULpLA{fi`8-lbT|`g8YD0uia)l
zxRQp){K3^7Beh@r3lIOCKVaXLxhJya;BiVxZqi%wW=g`iE&+#JEw)!IdcGS3`9bpD
zvm(*OWv8{{j~<bhUaV4kO3Nzryqt3+p7%q%@(UwhAVm_Q$C%Y{$K;@15_{t}*+<?~
zTx;v@zC)as+dl7zT(>!^m}!~JpV|K+R*^SKB9>&p$y;8gJqn(`HmP2r&R~#6QZ(`{
zNwBua%CdRCs{ZABv(bme-83t#_4C)5JNHiAnz=?;F?5sPU;NCf&sMRiTu{R8Hi0m*
znT(h!5s}cw56!L&mcMN$ryeHue-w&ma8)Bt@MViXu4<O(2^(RjU65#n+fW^??}@>I
z0kF(w4h{~MNG7`8DMtM!;TW=_Ny=nuHQ!uQVs$uIB@~Z^Ws?&VrFWL?>8OpHKeVYQ
z-@~upKk}&bg<*wfiTX>DD%0atr^>0|3&!0u|M#!wbjc`9WM;d~@Xcd{Q>RXyy&(;b
zMyB5r(mPV`dY>S+!bOd<XYT<2BZ9~P<@-B+J%%ELfh3rC8~nQzdLC$};c7XImynS8
zl0$x%Erg)T%F0k)1-?KK66}}o)-1X}RR#GA{taZ(6+OMzx*4G7zM{nf19sI(H6SD;
z<%Y*J+r>rds&Fx3Hh)?QN0?BcxQkW1Cddp#Q0CB~vGS=E_YYG?-jj!>{rYrycGZ(R
ztk|-VC9pc<<?K(kcX9+3T}pI)))EuYITpK28PJE7jy3+w{d(>KbAf43ORd>ntNuJw
zWA{5E%Sm@1>`WN)(cGqa+TC-t+z94v=)|$N>|*txBQ9thU${y!vIVGOrY73qKYxCI
zZ}YuT&Nk>KFdp*j1MBXtw~Az>OxqJXBa-_5*TbTw9SSt#aJX9E<g(~9j+q-p^)F1a
zU{#I?2}KH#RMpm6!u0}xMS6qkt$Tr2{Ak%z5~HT*5ARzBhjc1qzGg=yB;SY&7_o>N
z#i9eELGUC#=YqE;r|`LxqoqW<3s`**mG9HE<kHf0U=Ku%jxtj`eQMIVUC?_yIZ(<>
zz-S`n(5IM;;hC0G&iOhpKTAvgpjsG`B=QucMk-1quPSp*JdOSTsCw^stpE3K_#_!6
zD<NCSPRL#rvWb$NY$|1jP%33hksT5$N%qQ)G*C%GHVKhEOI**h&-J^n-+ey5e|$gN
zc)wq-<9JTD?8tr8J7qkLPV6s6ELdNkxw4dVvZK*%i`v&KNvgPn@Rot_>I<aTdHgUa
z^_<kC9<Tk)*S5DqQl{Rdwv;N53fegxbS>!?|3SAq>@-iYY2GvwLG0OSTiZug`RU4Q
zoXb=CCkp(Czc>Vj3&n*OM%ce}a&?73>_h~!GX?Hi*t2*m_^+gh|5YJ*`24vGa0^Mj
zy2I<x3tm6Sm0lMbJL&w@dE-ps#$M`Ka!v}Fv9)E%TDeG^li*06q+i1^WRLj(w}cI6
zJ}?vzVtC0fdme7PunH&PldLS+9rJ_dpc5kHl$2*b@jCnroRJS;-o&-p>*%G+U9x+j
z6!N$KJMIvU5_O?@MnY&8vH2<`5bojWxroooisPpJX#qyuSJu)uSR0!x5>Hb?k%f=N
zU{q_XF5xhF$`N@xN@@0rGjA%!n{{|l*nm&;iQM#B65%veCs)E#6PsSafLboeD9AQ{
z4b-sJKPjHu_*C`FYrf&bao@lG?7HVR5L7wnKdaQpBW(62Qb(6Y=`L5M_^<XoX?Gv8
z+i^bCiF87g&#uM&#|@E*E5L}87``57po1`LUAnX8Ij>YXHtkYyO`6rHJFxH^=Agy#
zkAV}JV%Cc6;g8^JJr*fmwma)wa^o;88~7j_5NI=Wrz~1f@1*LlPI!2gdP!B!9!MO3
zc0)9w7jXCQ-+p0gulgu9NjR5uE+~#SN3m==%xIEt2_PHcGjXxfk(8E3ARBtR%L8f(
z)$rd%`U}x5h_aPit-Y%j$OpRAR{`l~iI;z-z_Yk~)h*Mei$+FYuu7MwzKUqH8GM!Q
z=ELyp=MbFtV`H5Qmf?@E>5+U-G-n(<P(?<-A3&A~-QqQf0k5RYFOqie&9=xh9E#KX
z<V??@bl*K)x@FrgMKLjyp|1G~z53hAu6OY0X%4*FxbE;>p08E+>!{v2QoEDzsnXMl
z0G@@Q?tM7$xR3a&zYqjqk}mvyV$RKGpxjI(Vvno{G$mg6!AdK(hKZjVAK&f#mAh#-
zg>nVk>xrM&U&mq{XO_0b!~v=f(=QZYkA`|kB%^jD{RB;hE-m8jS9rq-11Y*;HLw5W
z;{N{O2d^mGsNW+eI*cv&`4b7IICLz@o;u2{Ncj)!{O@7h>;j>R;K-9XUxp+g)dkdn
zPf}Ege5xo)3PD!|XK9mTvOR7X&+fs=nEV)V38su2B3brs%&PT4Cv#jbUHY-;>Z&Mh
zw%6U;`x;JktVMyMI?4fZee5=ej<)MLdl8V~P6np$wo1DKUfGBn$8CNs%H9k9^5qK-
zfUwsi@hzgp+PXB*U>Ra9*K3LMVP=jDtDz=DDtu~u)!jIEjJbvLp6^$Er4xvSCdPw#
z<K)CML+X36Rq1EK4Tr6U8;r290-OkmyNDAcNuY{6_5}QW9VMtbD!VD!8;YeEA5#&?
z90=w~QP0~-lp~`j<@SF;f6Gp0Q82ug)xPuX%WWrRIG-vP)7Bgari}<&mC$TKI2BQA
z(QvD|xf%XrxJ815XSWTHjus=LHc8hQ@=+Xa=z4$n@ZkzY%7DyBS=@=Ae~h8SvOu!6
z+P*967A{vuz4wU*A5J35jdWAxJ3mhXtA`@`b!Vx@3v1o`lkI#`W$EPCiL5MUt21RT
zX0~N6YaS3gy*)Z{j(4#BtM3<qAt)#x^p>U~(ny4dXE?+T$Ida%RrZq?3Iq5FAZwan
zn?f-SJVfRddjds*hpg;w&PI=Ta6&Z-Y9dHs{hj&yTjaW*6U~M*s+}SA2L1CgIQW$i
zSt7YDNqr|N0rQ|LHk`W@w+@mnJG0guAk@F?akMfB(HJ_itzhcGC8#|l^^P22bUjh=
zOW4XXYB|tu@b(X^lh+V`OWrUGH7a3%J<#N@#L$n>E&ayo*#car7;HIrLcaLl(ue17
zZi_We`@lU-$hcrw^Zxt$GV(<(TmV8ZPqd6?YJ>y_BW3_Uag3X|(j6TfN{#A}8Y*wM
zJavP5$y~+o{!#8v9e0J>Oq^ZRW641cg@^6Cj^6^Yk_Z^w%F4>=%Wre9b50}9XsjjS
zW1_g~zIy}~r-t~)K^)|_Za$ubF2P&$q^yEMNJxl`<ZxrEvz&Nc`tfiw{Ij5{CH(#V
z@E1#UM&>Wjolf%h9$>)RLLg84$VG98pR6JSG6bkeUA8w8&^ZVU|H%`6f^xd+>!|lJ
ziy7{f*$v69{F!K3kY&G<kYM8FB^muD^PIT=BWeur_%^?JBO@s(b~&=R;ctZ4t$-v-
zYu;TfH;#%S4IZo_$bN{shY?<1mUEUIjvDNUfU}q}wrTy9xTa2dTLo{Gj=Edk6)$Cx
z6r5!Pep3e#uGAz#?aP(B^(t+#+j~c`jO}k`18F<_n{cO<c>IPggiyV>^TnP4PtEM+
zsUr`w$f1@+2nhk;m+=eBy>xU2CxfCl>u*UVmN2Ey9FHQ!6%UcFSYJ)=3Al9-2+5W#
zHg>AXDtP8Yv3xGsiTuV+Qv8y1AIQ?zqrr20WF%%^!&)?bAoLEOB#U$k-Gq(*QiVT)
z!LiYlRl-7GLAdSgy~jL)AsNY+IgKC4*u7Zm<T<RdEGf-NdcB}PjKJz?@g@9%!D$K~
z@!zJQrYT=22+qk?65FR72iu-aP2F@IAL%p%!U4KDc9^ZD+B{ljOF6>u-jIhIv?!(K
z{ojr;Ac~uTgeVR9ci3&XA|LGi`}aiKs*q6P5z8y6-vaAWR|lX0<0fjjL`2|Vusa!O
zakI^_L-L}u>|-Ue?c3o^;i?Ru{9#EKZMj`96ZcL0^eA;;IB?ABxmP=hiSF<0G5><Y
z3Jw+L`_%UOQ5Vev4njRQc}WPmPHlRM9Q+SGWfT$#{ITNr-C|dF0NEfH$#rmthg*al
zLpnBT`VziQ+0%+IYo^#3nWl{$vA^O%uvRle%O4$OVswh3B%<UH6eAeEW7jSRD9m4{
z*VJ6q(xQrZ4JR4Wrtuj5GMP=B^fUccQcS-M&n^xZAgMqhJSzM8`)evH5|g<21lp_*
zI`?_P@~B(Y(`s>oF}QzKH<Vb~D}RCv6pew2NdgQ-R#u1z=RE$$c&4+pKd$l~7*^Gi
zzuTl11l-)+i6tpuY#}?6=Bl(n#W4g8ub!$Iv!IVmU0ogVbxl%<pJ^Lk*|ccr3tm%#
z><k1QGL~Az_Q}Y=E4Ka}qZ)2Ogb^_wN3Q)cU`Y#^oy|A%>Ob#aKxYoZ<H1wqyQoko
ztW}N}D}_IErCrCQ<+LPyPqPG~S@2{I3C67hlmyF_i{-#f4xj%b00k-9zHrLX)87M6
z_E$2E!#>%P>F9>k{lS~iaG6!T)nK$Zg0ME+6a8AOXPrbIxRsl<u~u&hi~e}k&|rg{
zAynJ6=6*8jY-pQL>zKMv7;;?KOEj$ZWv`a|(Au7T%AI@r$(#}#Fn9<m7C%heipp~l
z(s$k?lrH;KTF#8v%1Mddm~-YP#Y_C(b2oS7hE+anYABBpJb2K-*anwr><DzuI@#!{
zIIYDSgPD8kLLY=s_%#9G2N7(zgqmF&M4U{m^2l$@1fL2%zg@Y<v+B+}7<nQdPsaOg
zL)V#yhlHU00^Hms-4s9W!Xo;bHLn@Eb}&)>1vaW1QVttZ6>>K}9ydGa<yT<(eB9{+
zO2!SQEHVYcL5)C-lG;j(uHf9xGIrUJM*1DM@wA|UwkP&Q*A(2#o}S2;1>BE`!+q{T
zwq}QPY9#%QM7MpvX@XxFNA)}vR8F5A8#`@m9B+7Qh>25y@bk35Q__?+$9R(^Kc(Ui
zi3ptl$5vD%p$ej13W8Hu#&FvwC$l1o74TB?yZ6(#Oee+kIvB!ug@to#YX?A!V7Lan
zX=A3<W+VCNkN&2rnbcvCYEW=aj*eD!*J`r!_Y;~wv{xY85mNqd?d^vDfNmwjp9wuY
zEHUxo+KI@wLCi(c^V(XgCmp4O$yh8mreNu12+OLj?mIaVHtcA-@?xO?lNb4D-y62G
z#F=94@MC`X-%(;|2zCM45sQ*bi;Ix_MaM;2k_&_r^}`^*@xK+PM>8LrszNX=5lh4N
zQ5rIKR{6M&HW}u<nXWcV*24a1|1JjK2#0b&1%9E%+X&sgy$F}`eScpN3YXwypxtnA
zM@L5=fo%qTRqD9_x&xH!UcQu<mX6N>-%QN!{r>&FnNd{$zwt-1mWd*n_j5DS1Y#jh
zrp~V(2E0sNR{p=Bt?zd`8aT($tln@YawJ9e?#%^@p~ZE`PdvQ5Ae+$E*Wa|Ktxfj)
zILR?hc(?(!-BH2x<TipRjU(9+_;}R48(paonjA^^F)@K$$J0hv6&5d<9sFRav3{_7
zf&NE?*x4_FXru|_5Fai)N<1k3d$@<U<gi@{#W686A2y`d{pkS_7w`o5W2~&wVq-ne
zdP>uTpeOL>@US8BS7KuqL#by7OH*C5*js`1oycqWmK1u2kg{DV>K1iC!M3q-I$Zwt
zZ|O!)aeB22;W!o*y|j9zTA8VjNoQnxoaVb4rGXV{ICm;uz9e<?@E~$L*!;26S)A@7
zAZpJ$I?@;FqNLM7UsXFwY{CZR@r1*VFy=9;f@9CIxYANI{Ue?ZJm@WB3%-hu2X*ti
z4hP3$8O5Q4bF{M3EVI2tga5F7v&4f-=dOg_&=PzjAkLRAsMmo*9&{sAxa%_lX+JOi
zDE>1q`^Eg$?aR_M&lI4rN7ECuOXa&C?YDLcs@8t+;S)b9t>LplEfQYvckcvwcpBcb
z96V@^9fl~7!|~UA+seuck_>1DBlMqCAv6du5{8NN^z^WHTmNfe=9RbJ|0|LQ67Gvj
z9EzPr!T4)u1;Tgy`<%?}M0!|cY?gL5a_%(s^~=1dboN$q3Vsb7+vV=E@7@H)P`?^0
zWFcIZfzp?P@1i~OhkHW!jvK;QoY^iZBQv$^M-ze{m|6OG2&HG&`4skrqeV$Q??Hm#
zIn>qBiG62}>8h*C2L^6%(@qNx!APgRb&Dmv`@L{c4>l2}H%(25u{kCbhtN{6D?ljm
z2@&2<G`JwCS8V#6n4yG7SbQ;fXt?Prs;W}@$q{UfB?B=|vII>3>DPXr1C)>ubS-t5
zS7rU6Wn0$+#VbWf2zHV7?-e|g%vhXBKSJfOTmP}$A3@Mgz%6xkBYV;mU!Dl4zfOXC
z4+}-yeUpnKbrziP;<yed;+Z6XQPI)U`zxH&Gr+{9Ta)rrH=8^m==^pD32~7=-O;L8
z0{7egk<KKe=fQ5x;JA!WpZ<G=##QO|Se;#<#FF}~ERD*<5(|^kt!XtLMJCRh{M-KL
zd_U?-ieM~=uOSs77e0dGn9<SE;bB;{{sXV1Sfkvp-|6uN`I5-~1D#<quI4l;e!fun
z5v63`zZ2XTU#UjEmw(Gj;1&>=0N1@cOvLwj2@TfdnW|ZsZreD6r9KW8$C|W<o=fM^
z3&#&qEa~OJykj`SMH4P~Po_T-K!Rv<Kt4E`jEoy**C89l!kya*pxg0X7@EPqeS?Yo
z#!>4F7g}V?+-2DvPrm>a64qn;9rq^6s5$#Lm%iGa+rOf^H5GI2)0#OF#*p2H>nQCD
z#o1bF<<(1LO5=qS{1eXSUx)7@pD%j&a0tDKU#2cc@Y`%wR3#@Z@%^}@?nn<}YN1_&
zOUWRC`tLiWniV_hp;9MhKi^Vt2#eHmXchIOo}26g@H0;yKW6<C`g?5+-7&&Q9l2OM
zZ%{G&rfJv>i3fnYplCRGlHu?G!V&oDuC}Oy6|wNkR$if_2nI!ihDl<pFs4@8XEM71
z(=toyA)5y%yji%z_`I)f09bUX-E`2mBsonT>F@f3d<77#fZM2JPWnfV5~G)Kc8WKC
z_n6_ky|BD|1}*{B@+^N9P7+#e5W*v`BcMVE3ASm}nX9l<xqCKjyTx5|2qt|>%`cAR
z=oo%Me++!-%XA%yrJPafC<j2PDSe}|w24U<FbFjb4YsVupe*z2HqA5Jy$Tv1zM$KA
z&*a8;wogAv>U*gu5|ZRaAw<}2akOLYBf+Iw#;dh{YS3=$cr{EY@a+*0ypSMb_Uf@S
zKmD_x_2afiyef)@`L8CazsGN@hc_Ik{1K((ByPIr$Nu-Jya(?fAQ8+tj~@pM0yu%D
z4y2f~vonlDb*=>oBq(Q~qr;K`WyjX=7*DD`GpxvHe+z1V1bv6DZtFyQ=E3YcG7;IQ
zS;EwcJjS$9&whk4Kk8To*BA2#Rd@1fGP1~LW@gajDK7m^ynfgXza9*3JiP`NAov3Z
zhHFkG<I`L|NQ-Szw-L{ROmip*aKYVHLA?ICOP8cKTRw>W)Zo!BP17hLGd3_NINym;
zb8PIE6FK)Mj`E-GOG2W3gzM+<`X))dHn;*v2777#omUzklgmz7L{HEfVrI<N0pPy*
zu-_oZ2x~mt8Y$nnuqE`L&TAj;s9BrQmxvQprd&K8OU~?Rc$y;o5q@V<Pz_5{S4+87
zS^`wY?+ZH?zB1u-<>)tysE%J;L>t?GskVH3@amG0l6Y1jHBIxx38!x|R8Oo&4sp%O
zw2`SgAqu|5u^8Ak0UX>4beQfwQ2<#2oRcBLXhrXDPLBAW7bs4IehkpG8!&;JH%Wtb
zF71BmFOCrgtmGTn(=5jgamba%NPgLYvm8~_9LH@|#IX7w^^v>)NoxA^ajWf$ii*(J
zcATtUPY5^tWdryNH5FkyUe&JF*R1|}Zgsm|*wFNLf|Xxbn<HK>RABK1TV)vBkH_U^
ze&Z+|f?R=)dH<#`eY55X+y`F@91IlPWkIn@m)>VMlU>JmjyS(Ja~I#Ww4jeKMQxvW
zN#n2^U|v3K>I`8i`<e9AbbY)EG_2$>*`M8AulPB2+Wi{G^lZSSq&cKLhr0}oqJ*!&
zCIvfSa7YN-3GVBZfi9`EvkK(j{aAbTq0%}UbQz;I;1cDR>pXO=3uHA}|Bnln&g_^(
z_5+Y;oS%sa0mys*@q>>c?7p@Gh{&sXi;+=en1VwZ3-61Krr$F3!`}?}3SL)GZB$ff
zVW3F=D3i1PFhUAqbKERO0*riPH*Va3zE%1id$VmJe$|N&P8x3pgC$4(jM{|lty^Ec
zv=BuDvP~o5U7+q}zHx3Z`;O*-iU8&Ge~DZ{V-K~n&*MRmlShp^cCz>6uMw#vJ`);w
zVV@nRL&4qiH4e7DNUa_~?xvBDlxPX$`Es6*-LE00Y#kMA1%hXOtB1O@l`LKq`8v~p
z$XzT^UGH_+n&ODQ1lT}of(lo!c2MsX-mH&)Gi)F2`oq?_`<F@-%^*jEQ=saJQwTk2
z*!KEH=}D{eliSZvssXxu@BruS$jr6g0RcEVFx$4b7vctZM`tH}O+|o_HUFLRFgoSP
z$;eO_O?KT>gj3Gr`{)ck9JtQ#wPSP#Dsk#m$HI-bePfC+_f}Vzm|w&i=io4AH#r_e
zT(w{iCtOt#E7(b9Y0tQSW{0Ht+V9^lObbVD?2AGO7$#uQ_iO7BiOOqfs=M^oKFVil
ziR1mkuwU9?TX>OQSu`mRU@6X1Xes?_2C(PA7mn@JwPx8E|DoE|_VU=IQ=9tDY)AT{
zSo8Dqw?-lk!KRa#Sr#BU;7;cIY2AfQK6NHDS~*6Ock_kmA4PJX?GZPPqccqadp-L}
zR7;~9nZ+j)ix%9?nB?#}A=4SDh%i_H{zS&bW35q45x~HJ<iC6Wp0$75k!o^L3X`34
z&8q^>r1RteIsviAq_VWM1hLl3P`C3^52p1Ls)q^E({Ioeh3aU%XnM+MmjA`kZrM5~
z*TNtTI3Lgf({nSCcr2UX9kjD0$ZnXu`E0uyd)-K=zxs-&q2WFEjLghYv~7JtE{3=C
zKzFw<8d=b31P^y?n<E^Ii17}D-B~2Q^8R3ah5#P!Tud}r%=l2aqu*g$bY*_VdS#1%
z-x8=(@Hb&xnN*Qp{QnH+|BSJC*RxNGdxUB^U^Z}aBIYl!vqRCY2^Ess!7e|nW_AZ(
zSIDxGx7-I@ifJ-V`*mwjcG&IPmS&QASh5~JdD3Dpkzv5X!qS~<a>%0B-~I(aIAYSE
zKVf9^!Zn&hT4L@8VLwtv0Vc(n;6Fn_v<r)iKB5wOX@-_j$8?T$$d<78Z|Hse&Bv5J
zeFJG^$oqH9o~PKQhs#0tnRKy+U^tQTEi~nm8@A56g{_dtTS-Y_Kmx#zeG1K<QR)cZ
zJEzn=9~S;s;utT(>!zmZ-trUqUHBCtj#_adUmDNxXKSxRVQRS9I~IOmZR+puhmZzv
zEKI9eC(ps%y_;>aGX^RBDAwtTkJih#HTvGa@Jgt9P0FLC9lr+%zshPGfL;NI(9p1c
z)9ZNW$9<bMkM3?t6cN9YJzSpTt!=iI$N;g{HTbn~$s`6`f%+pgCdRf=bzpT>){YI9
z)iqKvxpK4yLZRW>S1~NwOmRy51wWahQRnb#aknq!`Gb6DAw&?Jv`-Pnw6Zc_p_LUC
z@Yf~g?dIZw`q!Atsp)T*(M6%0hQzpv&g-uum{)&xw)`%2P6kknj9J81A=4WF7aDE+
zyp|Uho;`hPTIP~;GH3c{gu7w4FH0M%*GltZBi(lrhuu&w`Y=fL<f?Z4j}|~49gTqv
zH@D-NLYrYzjG*b-{iK~zIrO!JsPoToVIgZO>Xa&XNf?E6-~Rw-bd)DZ;SGEGR8uHU
zqNRiJI82P5m3{E5LZuwPob-^Zm`C}<^WSkPDOIQ_L;eGolkOzNS*N$GbpG3OwqM36
ze7|K3?`YY;&E*4o;B^H#rI#%EPJ8FU%=5ay=K%j^os*Z5S>^gvlDGxlP5RInc5-#<
z!|MqRS?C|}^zwqKA8J+n*-~@$Dj;snR>_RVG0Q&oM=XWb-R7nc66=#~?UEPY-fq_2
zdFm3Xj_;gg+=E1Tv4KL5mpySJ<c>R%J}6FnX4|d%Y5%8^jX4Kruf)$EBY$tV9uRO*
zx`S9>1Z8k>rN<NRe1r{MxOph5F6nE6&#&oeR85eQl7b|~duNknE-vW#Ax%lg@V+K5
zlzc*>qK=XU;4=^og=93%?2`%#3Vd<aI+asYhIOq!-7tRVc7E&WK`v&E6~ZxK=j`dA
zB73#_j{Xy2?70F0cU#5|2KFE@24^s!UZ|xIgoI=0%lXoGJL`Aner5Zu)v<Io@bC7a
z4zty#X9=Wz1$Oko2UP(CAz&;&-&L5+>2r?$%!N(or_A#H`*YP$AOefMeZW)nFvH~(
zRt+JyH(;G>8Q$+rwjzIb_VramT7hrOLizD7wR~%X`nZ4%cP2npgbJ64S?b7k@kOsY
z(b0A8qrv67X|7Vryy@N3$3DM8wnWpsv<sekoK@SPlRTFUi<CAB)zB`RV}#TwG^yZZ
zi&t)V{`@&imDqE{KKfwl+`Cr};iX%4v#q0#o(&w?tSlyNq#30Q6)6gRDsU;Z0_UEi
znPWuGFXQ;Qm0u}w=gh9PWPf?SVP-6<Wqy8UpU?<X;ePHvwbXwQW!NaPy85QwhTYNa
zsATTqW+OAvx<8&)x%we#+%s()hk3MC8#vN!zOHxno)vcWsb1$E=)H}zpwEb4$Kr^X
z7{~JaD9!Q5PD7lAMB*IdN$W>P=jzsn&YZobzc-w}c{J>D1=6xjO<AbSmG?cg(;-;z
zujf8%`N0O_&K!bzW#fP8M8vEim34)72vwl;GBV0C5YP-W5cuv<DHQkKz!qo&c+_v*
z-Qbz9`zeTc^^aTw-1QY(U~cD6IlH+YQpy)w-dC>3m%SOOIWrASFbg~T^!Rv}*8Vdb
zgm!x1zj*c`Bt2i+yd%Cx7(Fx`nQvGo(jFfd5pmqki)_-*pH-B#8T>zSi_k|4pS)y{
zNF+->-^r-9`xD=M!oE7?1KZw4y+)Vh+eogTf6y`(vlm_N-?jA^C2VU;3JY;uqI>~1
z9o{zzRNpn#WZ@5tE;(%f_AUfVN2)CI&tLf1?x3s9Lx4b%B|<BUIoKwY|3S9fo$vae
zd}L!xs0elxiFKyRwDb+KOZ>zPFETNS&6JlG=rQ~!1-zhTap2e8k2hP!B&g9Ff`*?L
zmX#w@Q@yaT02c(53&sPN4Q7@g2K9|b(|BB~p5ETT<6ipCKSEsP(AZd9Y^>eHO$Rdx
zxm4;-mXnKR-((K%dYqNj1S_eUJd#(k(9^WAdUL`Gm;&(c@8V7@&CtT4z6EFp%<VD$
zdri1!Rg0!ZE}g22EWR8QgSQ*=KbN>;%A)J+Xt11NH)jhUFR$sL>-XX^LdIm$p9mMd
zx2B|MD{=u_56B5ye$==p9{-(8B4SmpqpnT(lR)YJ`rEChObFK+uMG)Q%Wgk$@u>cG
zMxpzi4ZZ!Xm1-pL_%L6G_m6aK?Va~>OMN0;Yx=E=;?rpE;k>%kjuv)%M@QB>(vp(c
z4KTo5f-tOkU7HFK$kBK1IGTM`Cj?S0`F%fq4#Io<^sKIo?XimrS7cVCnJK<o@AX@(
zx_l=t(KCsuG)O-LMG1jC%&^jMQI*W@`pL}G$Cdt}QFw3!FD}-5nR9c->Z%!ir2pdS
zh>tL8Dag^;5{K+SW@ffWtiZ@(JhYIV-(}CD4hQ&cI1b_CZu1N3-+QTj;3^<E(4saZ
zrmK<X?quIyeOSUYnDz<vLHP({sL3`QplpHPv)ay9?B@I)gxlWJY#Lt-b7`!hDXh5n
zo>z=RoQHnf1NBUv9U;f=e?Aj3v6nBVH#Nj^d*!}(hj(?T0h!8}H_+qmY8hYDawr}+
z!|VMBJgz1$&b@ud7!@i{n8qXN7j_cj=h?G;3u(vp#k7oJImHK@j3XN=1c{A}(a~E!
zWCs$@`IS`eu{c4fhrspi9{Rnl+>}UXgE8Zt%ZgeQ-Y&Iq?EO0_DK!BZ?PosK=;~~o
zM?%OLGdTI(K%?*zw|(;KA+AqatZWF$8g|nx(SphebyQZ&K**Y#kv?+Z(4pwQbaaJe
zWDMg-YIi1<U-30NpxXG$7qW-7wP~%D4b<oF7E!aNNG&~F>O5_xggR(z!As80bE~sM
zMH(3fGs+n8K+B;gVqQrqxMfUUL1CLS)?XywW1h-N{V<ptNX2pa(6%o2h(8UVbuO76
zaf#kOUtGw5FNYAfi%Hl>vczPY!P&EQSgUi4-jDN~=l=aNGh^?3QUy{U{by_7BrJl|
z(cEQfMx8JAb#wEA?AkT=s^7=wJQ`QJ#BAig!7WTUtLXG&>EIgzx1yqDh5@onWV>xo
zCa&LcJZ^14jUny`+UpSr6?S;w8s(`*;CA;I6+R4AopSldcBaS`Up<HHvvNevh*G#J
zhB7}<;U&9nF1NWV?49009Ln0-4hjf_8eO`0(ZTHNhp!{Hjh!R}oS`ozk2@mi&;CHc
z9OtR!h`AwwfVIOI>)zfe$s&!U5<it!x@+$Nv`UMK&3)B4p5aAB3}gN885Z!lg9QRN
z4**y|MZgIM!Ak;WEksy_(b*>*TG^lBum$%rdi0`5OLB!L9_(Nn%~qwDpYO5+ZHxJo
zRm-pO$n2u_o#H)kfW-I8vz*_@eQ`LyMl!KpZYM)sy2TTn`Fp4pJdis5m1nXlbjR%}
zPW|RFaua?CFKC5EJw`|!=AQ5S#q$1Osq2AY?r=2`$t<S*;tWw2VhZW^L^Xv-hNWuq
zipLnXUbn$*h7lAWzz9|^y>c*%b#|6wm$N~J_9+BD8XK##x?jE=r^$=Q8gFiM1CL3b
zxfH6VmnqD`4yUnnDHjAgR+nraTb^58Mfm`)pk!q>nx#&hNO)%t%vPo~;|AnR@<?lH
zoK2Lh=vShza5QcaXnt<^!|6~a8Q~JE{(CYVE9WdrZaU-ym$;#pb)lV@T!Tviv{!ca
z?Z#n5f8-bmJ#vIOP7dat_4Vy!#1BpkK-x&`O_YscC@;Vz7^_ih$K7OMQu+K`R&EXY
z6dM2Bc<P5t^%uwUjK_ccfSJupvd^>960eRo4@-pAcb!i$xt9_uuAX}uX)%+vb78Er
zy|9}g_a*xnwxTWgTkFoe+JDdSj$^{`c{x}DuLcAVlZP=QA=ln5FkqP>;6<+50#kJz
zoByE_V%!5Vb9{*N4#9^OZw@xd+6>ACNzX6k%#VXdSIMSpLNoq~1={}MiGTfVo9sPO
zOr{tbVz-xdzpG{?tMAxOz=Vq@vATc$&w{r`;kBCi;Zc^ox0q{Hyu6m48fLz=J(_*;
zS6}7s`fs;=MV{3N7ViHldMlQrR{2FgRH68BYrn_rNJe@?rPDZHY&R+W(F{gHs8PVw
zU4GH-zG{*oG0G*iJa)JSpyb)uWc;CbJ)-7ZsjL3O$~~DH8oqw!&Y>!m7ys9YQMtQ7
zqzVw$>0INzA+o)2P7yQEfW<<z{w~V{!<f6fJM`CKk3Na-V_)xWqHSeS<t<P9Mxpn>
z&MzxRAAV87D-kkTMuk@$dmJub#IDM#-J53@wcd(@921FJs6^Aulz_qBorWAOdbb2r
z*U!*|^*J->eK>huyqKQx-GSX2;=8pX@i2V*#;_$evQORP6z+>yBYOh*F4phAew{%|
znu!U2oHk_aMnVT<s4>8MdhSoNK?&QdTU2m*z6;#?Gnn05I7&UkLCQ?;A?!Xx`__UO
zzK=_fh#oRV?gDiBc5DH97?dzuZo+ko$x$%#>BM^e+?c0Z?KL+`0cp<WkMq7)UhXY6
z(q;7!8Uj`vb1~bWWux#dZ>(Tme*U;eC0sYKyJuvO9EFGq0xfVFo}P!P7PO3Bz=H`8
z8TK8d#zO`JUKgbb_^MG8Z)SF`&+rXxq21F$i@FEB_I`Y^1lT9F^1HSUa*FR5a}7V4
z6B!Yai+sq^QVt1wO`OY8PH4jhCWFMwJL1;wHmOE*@(}8q*1P{R^YF^;bEQQNF)V`O
zTz+2z_?{i{Ah|w4Vf_9wAZ$2-l>CoZj*9%ys~Enka{IvG4F_=qrWR?-1#SiaH;87b
zN_f@od?7xQqt=(Hi0Of@;mly&R^@o>70v$TyP=dB@j<dQ(-DKa>x<TAPpti=ZDrpc
zw)_25;VP+wHf|{^Kp@bHNSH|JeVV8rPd@kL5og6_&HAL`VH<`gw2hf|bXTp2;0WZx
z>_<I3iY!IBINgGNI}H5_DV*I0RVcz)Lyg{vwPJ1nz~PhLIP$0ML6I;GK{M@({-r$^
zW{B6dZE26kEk_RlUS509F>rh>N?Z5lPW-ZUCQ<lc+fO1!y$GbsXMp3jhr+)q<A0HM
zw>|iMQNtwd(p_&O=E?h*HmI2LxYXJ@`{#%jI9B{1NW#8P0D=1-&yq@MPA(E=!{;Sx
zeA%wWb2U=!%&$=A;}_#Q;_s>QU6YgfrNd1Ji&;_CgK2h|G_IhaRClWNd_XU-1?w5n
zg_9IN14oQaMU4u?R@0g1+1bbQyL_q-=3l(l1uG>0Mai$$p}UND889}^`&PqW914}R
z=J%<oop|Hv4?KVI0@X@vO=7?&M@A&B{`N}JU4iC2YmZF!o^l@<JgSfi$22Vf&A`#a
zCy_Xu>FR<ywx337YPSk|<MZ-<!AScT9gxjgLi^%v7U-7THKM4WoFsXu6?U6#zH!P;
z>Kj?A(RG<Jl6qBICHs}yU!1|co!r_eIUMbNg0G9Z@ve&}V)A#~el>R;P!6O_DEy?Q
zjjpdhii%<=srKx-3_k)6V;pSACf=RblGV|x9W85*1$Dvj=dxdtu6hUV%<^q<+RFfJ
z(Ztx(edPj3#<KzQuM@@XTGQ|>$E2nLDg3JSSgUw8J#CDJSFnTud=o$yp12vsh$sBX
zoClva*G5>gIKskO;8#yWLxZV!?PqTOz&e$Q_FQWX<%&uK>yyI;KTH^n8yg$#0F-Af
zWa}gls#oeUl-{r@*r0!)+W?6cF`}``=H<&B^e@a0I!RsZB-G=a#a%8sCLmhMUwbPe
zq6N*sFftHA)gIxDMM`>_X2Z6|wvyu6eFP*r%24RC*w^OwWYS;d#1r_vj;O$VOf7ZR
z?CqPi8(orO`>vDtB2pMy_b#rcIYJ~&ZN_Fh?*`pYY#;bVdimv=F3L$zk4{bbgSYM2
z%i=1!nO#Dal#N{p-&%gn$~VMn+_f}4{DVW6Etva+Wcfa6jvfcX+&lhUJ?RZY0Uz@J
zHHnm`!a#vA-edKRs}bVo=1O0=XC%syaBbamy>lTAM<MQJWS}JX54r5>FVkT2Ff{E^
zDcAdaMn1xZ<<Ox+IYxf-LIM6sIR*y1&g}-x(njuE_{9X0WT;4Xl}X2@jyjIY$0(X2
ztYH!f8_T0l=w#Vx44*~rj5;meSck`BXu5lzbHB8~K7(`rbZ0xrNO5St;>Skn=kLD_
zq0I-<Y*34htKfSyfO*ga;($?KzBJG6Bqt|_FY+onk%LzNP2d9$3r+y7Pe=OJbaOg?
zLaey=<V})K&XVU#0snNu_<Z&J`Jed--!x$S!o+(&agc7A=Et4a^|b~U+(dVVY~9k2
z28pQ)2hp3y-9I_{poZhlW$WVSd<29TA8<#&$>uS}$a@J;4FbftkCl&7;%iW2Sukf|
zAs`@R5{{UC?(Wt^8$<RRuo+mYfRGJ|vCxMer4{IuO}`D{D?$&5l2q83?q?L~@>O|^
zg#(;-cbj#8Zuw&At$*;6!)H5_E*<Jd#rdY)Y|<`k)-o>JeZOeRRG+*#UU$<xh-!DU
z|CKA3bN+&uFGWE-NPC43KfNDpPuSMK90zRVW06A(^<X>ZA;P}418$^r6Jb{RPwxrB
z>33;0qD1GElY>JH?Sf_e>mBYU1a2Xr^H}MSdbWo?n-Y2g2sL4vK&`w;3poV^Vl`^(
zcB*cC8i&&lDF%CdE-Ll(zOLryA{>$-h&8eE4I1csGrdu-ZjB1u4`d%Xp36w2^6awR
zR8y4QQS-o!mwqty<&T@qqwc7ny#gu;J7ueF)mI`Uj~tC@*_IC+5qFhk*lo?8uO;;v
zzJv?=4+_J0rye07aLYUAYTMAypYljt!}Ri-Nkb*Wi}wHbG(*8fR<BUp+j)pIq~VX}
zUBjC@dzMpVT%|t*Ukxc7DCrN2%b-|vDi9%73*v^=3z@H{>}Y!{64B{T!o6?btM}I(
z@eAH}?`cWN7Xw?d3Cw_x@)Iw|#r|8<CUYe17)=dcyV=nl52{Mcu1EzYrq(BMpXJGJ
zPo&kXt}_1v^^sx&V5Pa4Pg3%J)2J<rx=<V-0H_Ldco`UaDZq84!Pt#|7P}#jQ0DLp
zKEVcLN+D_ungg6_<`x#HYla#De+%>nh+{dv&(O`y4aml^V+~Mpz@=R$H=yhYt<vI+
zNj&Ahn(aP^ZQ46rh&LCj{bgZp4&gpNyV?-a!)p8V(UbIfg&(Tc73!nbDU3U^pZNYr
za>AA#;6I#loMqZSub_0-6wOF(W-`EVX@q_b4j$RRKeMcC<!kE8nd%~koTj<*`MOl<
z`sezNx@d}pww;DucJ8-yfG4RTPr>eeH7w&286Eqv?!aI<nRQjC51|9lbP_|<F{Pq=
zH~k~hOHo6(0gY#5g3R|!dQ+>}xhsTE2gZv0^MAkC5%Se&=dN9sy}dt(T>R!gOzwWq
zZQ=y)p8AG{2G~cC$0w20s(!tY=WfN(Z@1P&q@gheWI;^R!lDTNgG4h$?CPHQ53iPN
z+&quE@A6J>EPs>HIlB4h35T3V)?+G>oyD2CE(8Ka$b}m*VGlJKe3G&svJx!MoQc{=
z^mWrwA}YA#U~oT^r|MN@X4X7dQ1Q78EDp&}MK(DdyAY>=)EcCY{^=e!EvJhOu@uga
z8~uA`O^HOBlzKK~u_q6Y^%>wWD0~FQk8fR7bzAz!St!pzai@PgBq%8Uww&>O>i0w4
zjmQ5RF;Eeo3y2kqlj5D3_k5wZ9EBceHoS^LiRWL?7a~%&Z?D-)ds{|(@?Y$T|1`CX
zmjSJr>|bfm)`Zq}Ed~f0na&?xX;S57FiVO|{jMsJ=t8YcDEz~c;t?6N4~Hz&E@|3g
z>XV#8aX)eJ;IZQMjLXYA7}97c6!-N(%dp#8K&^S+506SDO8sz?MdurAuArxyX#r4x
z*ixe|F0FZ73j7$nJ$@{gT~JJM4PtIyBbYF+;4TBkdiioGSUk*|sGgv5eJiF5^$>6%
z_%)*6O!bz};<AL^Gb-h$H{s;eUn%#)qYsDOCs^o97UQet!v%zeBch}6^8wO#*~f=V
z!u~Co{@Lp<Tg8xP1)0=;TBOSUenWvRAvlZ}_wJo^jz~N`=Pjf3d-GBNa}bo&c<Ra*
zy=UwNURBxL>!8BEab#<wxX}9J=sd<XVh}XLn^|Kq{oBqGv|QKL(E7Zx($)HAB=;WA
z#;&=wn;=?z76xi_-a08MZHgnW=3-CL@%qO1{BvJ?-Q)-loeKFmXMd?&U}Hi($@jO!
zKD)4>g3Y9rr880z)yqn@9XxcD_>-2?^FRN}#@<-u*m%bhoP=-!yJ)2{gx=$?O*pV9
z)VFHJUwSj+nFz;n><MKmZV(L6kuoccyxOvMwKK0QVBI|!#My_4jAqC!z7ydU7nf;R
z)>Beaj;mD9b8~WRE8NeTT)4%ce1vdiCvr{DoDpS_Bp;<t1lI1~XCzo%qFlN8eEa0_
zPZLAd5f}4qrwQyE+ww2nPICY~W>*}hFUS4?=?1RH!!r$D{#PtaMA-!H_v+vW16q+(
ziN5?>!0j0G$ZKp2VfJt~G}*gexPX?xu+iI4U%s<XwaCtk)K_01xL5XJK~s46s9zp9
zMy_!lx`T!n>GqHgT0J%47Tqmz;Fij;g=@|61#vH$LgPfnh4p}78{PN2URV>rULeiM
zHrs#i*oq<i_h>+yo_=m1u;lmmzTheNSM+WQydU#O(*26lab9r3SsBTYn0M4B5U~Ul
zwVMMRTxC@is<e^N#}I}RQapHIfE8$-W12<2T|`90;mI!;?_jayl`~r{Q10e#6vHcr
zdrm2ZFT{ogX)MJTaoeMuQ=E^l`TJ*H2K>D`5K_8k&*Rj4(vgba6)rR^X<0ZRw-ACG
z@T;`T#YNr}g~{4oS6~~&X}$LIukR}TVU01NTQxLMcZ$KC1=Y2jRXLF(s3b7wb<;Sv
z4JF!CpTW{8Ie&VnAm$%J%Qb*qxq!gFHY?@+HgV69(Jg&jJX}N)I@-&}V*Jy|Q9Q<r
zIOhny71q847ILlaU1$YNSMEo$8PpawwXzj`Uv}$fzE(}&S4me!`oMhq5h_zAjhF&q
z8o}*%bL+*d%|zhE#fnRy;Z&@EYw`%ywX-zkY)4*pOeSs}sCR>baC~_9*bbBDrtX-P
z{sfQo9;ai?d9b{r^-M(T$v&WRXgRCae}dPPm`)9o<G->-%!sQiE1RgpR#VydtzWg1
zkEfi0_8Mst15j2DaoeUmT~z!XLG&kro2l=ytXuZUFt%`Aj6S_Nsq7+u6XTZ1nU`N&
z_Tyhv_u4gJM>gC4#uRFx6}lA?;$Ojiu4a9QnM1|uHfk2JAq1%hHy!8u7TL38^tIza
z{=KRlaO1*+Pn`MAZsOTx61CL)ENA*EMz62AIoKvq-y=^>US9n;ks};@Um&PN+EN4$
zHu5@FmX^Q;O@odh#$mnZI29o!DQP+?+>B7fn@<aW66x&wV#?|1v9TSWK3U5mHVA5$
z*tE1u!u8cuiL#X5D)tGZe@?y4yA>7HMkHCE-4Lf9ou2N~O4Jxl4p4@O*L#y;Xx^8%
z*$yIBsLs?gEA^rk#YI+dg}r$3A$gUdr3hcV9=ziV^G&k4>|`1WmIvRgn0_}xu?A7n
zz~nidbamjgP$z5_2x%da{iZT<Q(lfWg~S?)Y$TgWm~!GVEJv5v0wDVpk=GRli+eaX
z$O3=ZU{?rc5AP3h=)sJP1aks{ERbqhm0Mjg<B>0M0aG?4W?E2|*%_`4Zm=;v{8i}d
z$}G!1gQ^}6VFkrY_c)Wj<Jv(+_7lV^7+~K-o+K!<_4KWcClwXG<7|)VTd2k*#C;C>
zRdM(9`Ca=(^883B;u*mdZ^Hmiti?e~P`SduRkBmTuhg&qRG*fOXw!JuZiAtd7>x43
z>dcuMnA9<{96bSkLiKM(`^c-)E=nZlc0>Ph1cW{oD%fXQWs_xYd>p?Zne4;Wkh_|)
zw|m7@WH1c2T67vzvvoMU!rTih#b8R1&EHRhJN0GMi}^0y47f2D!gWooDnwU=>BIxs
z`L7|zfXlMJO(ULoL}+&M3Md_X1O%L2T;T4<0dqPkJa^B8tLW0-NiTw%rzi0kVPqxc
zjQRT9s7@qDIq+;%BzAXfeQAC_b6|u_(nSmfGt>!yi#~jmXy5s6thcwfSfsbF&qZ+$
zD67U{y2^Wv!$dojOE=T|vnmj00teLOMUM4$I&@lUImCXk^{d$g9zcM)>BrBX+Pvbo
zRd|2~NF)`0%I=udtxkRG`2`gg|Df0AA{=oSfgd?Y?7gQC8%}asny9<_k_6cmD}@Vc
z+?-qy2L^4n#=a6wP-vRwWqKqI@1zLRpS3l>SO~jEPBfA$p)><jE<s-GPH7f@@xlc=
z7F;}rybSkjyaGN$R%mX{N>$Fnz%Vj1Gw|(OG8S({dS)}f)jP}l-C0jBO6nqMXjmAc
zKD|mcmLzUjCFE(4kIcK9mT}Zs8bEd64tX+%-T6{X)?HmY$w)CT--$gJ*|RzTwGkfZ
zQxYN7|Dy%)mmALH7r%(;#0j$|r;+|tO>OODoW9UQIE(P@7-QmLP#!G0YWQin$&j2n
zHyN}kv4pgljUKUN2z5dau3JmWEx%iJlR_;laLvmM_!3Lf+Q&N+JjDDZe}^09*WXji
zV!UaSNL(cj8P&O6h;>;z9|0j<XsCdoV9v8=pQo1bnt+`8uAlq#sWl5={lQlgn?qtx
z<Bom2*<r&?t6}~37%>QMBjMwC9nve)12?Z&Sq(gLtrsiUeKe=mdrz^W(i+w>w)6o!
z541-%-0;?2iHp-IAN;g{Bg!i9@8wkea!?-lZ62YDZw2W#SMgS$!9>GdPGj3p2IXSo
zHCa*&9N0>tH<-AU=TF=@99K(O^I+)5b@NJdxJu>ZCcR$%L-tOB!~s`{TLKp`7LYq;
z)`ItYcl;}j{qI`mRDIHcZ4e+LY_CDb;v0t%89}_$guU%nEgl;>2(isAyAxOxyhYZ}
zJnNd$6B&~ETXVjEZm-1+=)O}^Iila-y!?8;G*Dyp&^Ejv^z@JGrrVxf&HB_tM-1X4
zmK+7O+XJE)8bV*zu1*AQoj820|1`EOf}6MZi>FT~I&%}G)(5DuIs<w~0SRQ#pf`fA
zY{OjIWcVB^cfMH2G2`Qzf?DpsyZTy87ZZoO0^woT6rxwjh9aDZ3toE2p|s=X;yZ+e
zK$ajLNb5bm$MSNYt<ArHwKYMhoxoTMxX?%_FE@856_sIbCpcF`ML3ut=(Ff~SPi<5
zW8Q{;97l)iU{6ma5Z1D?ulA^oD#IjMP(XJ*Gt<u6`XTfSP#zfxZAS(-OhrK8%<Kxa
zXwuTOM?B_+ju9>}m*t-AdK?k)k$GPpi`<@0Bn<KeyQm<j2HOcVSE|7fI1y7+5bSAU
zVj}!U57RPUl)^U+V{?_8rk*U3T%nD#!<*5_bgY1`4Y3=`Oo#5OtS5|)kAu5NFud9R
zqfEeg`K{140`N0|66H_A_rBMm<B1pod5wX3ih>aMBO|NK8-i4PmoPn-f8J9X%ls{`
zdS-J$NnJ_yI=;O)VUtTeMcE}KUX8QA#y~(qFf?7kQ0&2roXVo27-G5I2!h}DtNs$=
z+qQ@>#QAxiK(^Z7m*qJ^Ze;&rvZSeCpIG`d*)VDFrehBw(uAn^fk;dda!;g}0E>+~
zj~Ib|RC;m&$U>;|onQX`{^;0Qfnz@`EDX1wBIn1J7GXr20z0K{1kaaUR_1L=@UEi@
zxiG2i{?S^OCA9V<$x+vYJ9?zoV?&)?lhKl-`l#a)jOx%@>ZDvD(fz2>>7Dlt<1plU
z7unTdTl|nHz90LxZ|*4pAL{>&3TT5e1zU*$8s}`!4!nhPfcHj<?LWFSC9ls_Y_cs!
zTUOWZifV%?k9OzIDc)_0_nJiZ%0}+eqHctd5wF$Pua4&w1AXMfCY(<?!$)FghYn^Z
zkC#v+W4|jr1sh+6!BYbPc^~nNJ{zD=VXL$~3xnC+X6AX)3JPrX$P{l?mip&TNqlOH
z$yqj>xLblwkdetXdUj`?3RjDRL{gw@B$xB!3(B-7qTW1nMm8s|hcGB|Om#0E9KEh{
z3z;X#GC&9je&_%h@rQ5?0xFe9G6GoLOzOw&&LBR+p23L;6IW+<xARH{mP<eqD2YXl
zWX;JO=#U{HhR6}dlIPDOt51uVJ@RjQWR3;P#AJLdSWvZ%eav%yNlj$%%Egy&4@`e6
zjnIsgCS40}{~Y|;d<@eC?&4_t5Y4afKTy8PS|79b*UtnJX8-CV6dx}&6EkoCeT^|C
z;m9Wbxc>?&N^yFtbYv=geDq)1F61xxQeb}`;8DX^B%k`BfJ{Qp54s#Y&k8)sDbXSO
zj#}x6L`*FD`VhlGe~yh^o`nIy>%mvqGVdnVi<5^|{}wqCjKl4z8$tB}nstJ02l`2I
z-vL@SX<dQoxk+<zqId#t9RfIShu)`d1c9lHYWr;z$$!XecA0KbdC0Oux)rB=Scm?{
zg~#UJdnM(4U*2@RRBGBoAn@gULxzVEioFrsfA>MHOq<fXF%OK43h;!)dfZlV-`u#O
zOlx7~Vp8`a_0^4BrJsAAo>$}Y?7d~LT~dM(WmWTs4m4Zft`6_@edQHNm~-Mxwm|z5
zz>}jMdE5Q=Nw5TPN@(A``(yyBLV!DfnREU~jp?iWYjXWJm~6*8gF_q5klft$ztio}
zo(F#wUf0snP6Ow!)W5!eUs~yPMbt7MpPsv;;H!<{nd>To3qr&Q>AA=1ro~5w+RR^Q
zO-KtL8lDZ!*3_VGbdzOQ6;VJf-}JO49^^-)$Xo(Gy)R6hdN&;%Vwt^BX1bx|ne{h_
zXXY$CXZRX$T*yTEpVP%3UARCLG(34S-ge<^NZ(=n6)US>h1$!0S9NqEbor2o2w)p0
zt&0;)QJ<Kcn#4NvUig@HRGrM>eUwT96Kr8}p}#RyqCDKD<39QNPYx?mvPSViYv4BF
zJ-A|j>jr0m{SEYg5Q4Ocf#wj+Qu(fZbZJfZZA-H<h@uTtcX>JTe^ZsB&S;5XZ$zD_
z*rLYluAu87U%nV&W{EnTpps!af|@3FMPD~WB=5ACTh@^=9k)AKD8x$O4BT)pHP_=T
zhiL;a2L?~*e87`|K6ALXTVn;|CcNFGYd>GJsd)uA^c5EDv2K?My>o|C=8|Q?^yJsj
zeOVvQie6e~JoAz+*oK_wqMNfux}zAinc3yWkJDIEpjC(EMMYWVYQr#hRV0v=zj$|$
z(`?7EZBDw~y*1VHEz;OffKfClR+eND=PFN1_$wl!eyxg{z{B%nlwX3{E_>77+XX=k
zNMM^j>RXi}cVHij2E%;sf$Ej(>o*ETpm+8A?#PL*RG{0xgA!S3y4Z@x&X;th`G7$L
z3`gl}x+uvRaeixMYd`a$t5F#Ihz7kB*V@YE1_J?OTRtw1e<K3s;DtjsDp(QZcE!&R
zMidE2NhERBEq&JE;E<vO5Dx_&ZUxYm(ER|-^Mwk;Fa@AKr0w>fCVej*Jz9?hR8-;B
z4<8sCRok&3ggBqMZoB9_)51qO?Q>BFhnmL%lm{V*`ra-sw-kNPTmG>IDTqMu=33LN
zCvBaao^(ut-Hr_W6`{5d@6Y4Me799d00i1V(SrwJ%uTj=Z<m12wjH-0J$n}3GRDyJ
zSZC%e#s{^by^7tIOn*d?XahO|q<|#ru1Zxb@g$PDB598dNRCFklx|WS{hsaE@+hFV
z-3v$XOmBI#&0Ju<ZTlB**BB7#qYQmV*tN4g5GL?-srU0|(!}I(>bWa!1vN~ki*_=r
zW*ErBpmNrCcsnxLP(ANQk-KU;csw9*$B7qjHV(Ca3x+S`c1TF9SlRhfdE`97y9o~|
z_E`JVB_(R@Q_E0+<KJ)p@Cx&13JsfrLr8DM-P~H{COnh3#WL9<0=t;~Sce=W>9R*0
z5?;dGu~oPA=SYp!>Ih@j)v(6d(bciH-Jw2?K`jNqhk$bhzWZ4cyE94LE*Lv#J8!^C
zTEEPUNwa_zwreK{*CQDiwe(Kt3f0Hk5yTKqbrK1XuqOUN`sXx4x-m1Cv&7sWo1eMB
zqrG}li%>8x_BmXScFbrfu&!TBOc>z@x%v70f*w)G7}Et7?Xb-;|CqX#{}ru+X{OQl
zRYG6e7LkmN@{9XS@A5yZzTIY=ZOEP2?=~_*W0!4kiS5g_$p5=&EgU+Y+ld}+Yh;EH
z*e?zbvU%*;kvm2#KgR3|Qp87flal~c#0nYZ+S)tT^F$eU02~*0`oNAGS~LMd+hxDM
zdSkn>Ltwoms(iq{LTLfK4$*9^+ip=cuaLq5j5iu035;Ag<K89yi7p)V(*0m>XP0?0
zCzQU;K+|O~_;-Nv5hSKyILgW*BZM^W#X$iCYF?0o?a9V%;&ks|2459~B@AImIm<gD
z12#S{uMKKsr0pn4rQyi%ScFnqacw9lzxMZe+Z(l7R8F4nmvbZuFzZa^3~YV%_4kJ=
zxy1HND*MbGpu5@>1hA9@#OWYPu_MIBBk`ORP0)!SJbZg_Q3J5$Z8g$B>L8S35f{Yj
z`)WF})a(x5Qps4>dM&`Ht%2Ak7nkQq&4S?_bifO%n%|x6E5Pf^P-Hs+9Fg|n<HyZy
zZ5Kg}!72n)%am43#1L;p*i>1=J-im|N52pvwuQ1@U$VU)7l&unN6}CC#;&a%I4%($
zfYAc#dplRVU>i&gJo~b5d|=k(7>{-60ceW0;Y0qEuB|SI%ISwnDY)I6*#>R!yM*%F
zCyw?7SkNF^Wfl&Onn_Ci$F^Sud|y6#Mo%F+dVV{iCNNB+VtN~wU5{#_9K(y1r<a-z
zG0(l`DJdJS{WG(3$BxhEOYuPCmOV_9A;P%B>BEC{Y*0RSJ+#-SV{=OjZ0vL?gMag6
zQ${~;h)MDVqvG`CUE!9*SB~qJw~@?&(#5{yJ3tOAk*xec*3igEP1!gwa0^olE5n|{
z)QjjX!4FLSNr~6{5SF2+T3gMOyH?bxoOnrr9reQ`6U}lWQl{gY^VwFGu)hhH!7%jV
zr0j{xd1&yG<o~TxTPN|eFGCXqg~f9}(&GIMqlBY2QUm>Ao=KnamY`^&s;UaQqvxiD
zwxC1_)3@egAL>Qi6k5jI3R_mZh#5fcyQ0hRLO2N?-9f;lteg&3@=IkNv{iWOU;xW8
zLVNe=GiUk>RT9)Mm)p4L7BX($`#4@+TDn)~Z1C^kI)tra=K<-6+yhO(pOemR8JyNW
zd-C$~5C}ruNSAAgq?hH@V(o0?4O4syT0ai`IAXNd{Q(?d#f2GM34GXlrS7@s=f-X+
zvafAZ<UEA9!QY~nLZsp=q+_~mv40{HjGaa!vmHxYsd--Kd4<V)-AAKpgsP%6d0C}h
zOjT4~g{RMVMm*N&2nWB7lw)4P{@&&%$%S^?u6NTnZgZP|hV?JBVil=20DSoP_^_vX
z$YO&0t@d9xk4+*D0AmxA+3?1nPg*5Q6=?jJz))u;Z3*1Jr26I1$bJA%hyl5RT^=q%
z$YSwr<A#H@T^_k~ucT067)w{gcem*Q{Pg&530RT8Wz)6p@fG}DYEqo0P^tb>r>X2t
zBLJT!o`EcL6aL*YANX5}Q2mO0h38M74td@)3%|-NE<Ey0B4y5$(fh$Mj|>r<E^vY7
z_V+6jUo}K=lhQ5pUVTE1B**I20e_1!7vLTNJ`@A}B+AUmQ)grFCueVN-&tb*3wI&X
z(q*XuF^3*8Wum$g`tc;Xe9E)3zDLOnOazlNv9M4M1u)rb%U<rj(pc2B(Ru&;^8pZ&
z4P!@ru4(~et3<Cl+f+&&|NjU6y`!%9mTA?%#K;)1+-ZVi#I(ph415j&$<+{F{eu1m
zK{sX&&z?&V;I|)b)<7Mc%)x`Z>YsAEiS#XJ2H}MPLjF>o3W#9_B+36B&0~X_P*b4V
zVoh<QnsIpZ*VtxF;gp`@-|ZjlzlfL?458(OSn3IF1DWE+D!oV|84njhh^;_~wT}Pk
zS2$L{vWr$e@wy`=j%Z=3^pE*@d3u_f6FJxXn~rt_8FP+$%a>`D@#E=DYP;!JkJGxL
zq2aC{0`KmyO1*ax68uTxZGv`QOaO2iAdAdEU^+(lH1==(Cx{{Qc6Xo5nTHNJhN1&b
zyex`82vQs!8F}<kcv)m1-LtJw>*GjQ1h7jlzv`li*ErTOJea=i44E>UGL7$?TK>u}
zShy*8*jwi!@^34Sv--_`w+!0#1#U=elGvP6otWV4SB4k{b1tUYpdi)%N}zWoy-f2R
z35$%3{F`u^pd7$%tMPd|&EK%C4YDXEK*tAm>nyo2?{wd}E97k{f<+<ns|B3khML}K
z7(wxEx>nCOV<P<cKyGpL+!-}7$H<C|dq+G9SGWnp7{pXdMqrR+SSx-nom0Ifx$tOe
zurBaTXsJkxx%L3u8CqUuBd-SvZ$fGAmYp?v@4{Vf7o~~W-ci5K{)g9w^>=0F<eWqB
z9qy$ATb&bbl2jV81(TFzH8+oD_9d;-9P{8oB+CpZiEd^)s-v}V30G5aDFzptxXDrM
zYI7?MIdLe!oe~=-4qY>ZJmHPTsR=PN2x&0T_&K18l$@G{K)kuJZ812x1nyFeWIB}K
zF}LB!%gf6y>-LcC-Nz<d@pmPwGx{!m4MrBfHyJ;N52I-j;lAi;06dD`Ux<E?z>3aU
zA1@@Ny+o4VA#mFMayG9mb-BoSxX$mQ;kO;*1lb6^$2{!beB&U_lp%zGPF4^?h4be<
z+}!4tmk(q_zN<~rUx}ZqAi(R_-Km8$de{Ftqt&ndp5%vL{Yw+umqVlpxMXcw1L?T9
zwmzxSqHQX{reN8j&*^?31c!qnH&f~SM>>f$F_3i5)+g?A^vWqwUAU3vydiq7iPcM<
zBmHBSvt&H4aG@zN2oy&(61OD8a0FpNi6J}3kwMzsA7q?+;L_11b5<4>=bC7J@bG9^
zp5MfS`_^8<wq?|#l3e&R(7$VI!y!-7{LasAU%t`8GO^8q#6#GSpW^zJ#UEGK#}d$N
z^5Vq|_yMR+2rR*c<>gR?1-C6XZxSJt4<GKl89gV7n5xdO!PDbu_rBT*#yzBpSCpon
z@OlZQBDR6nPx_dNaovJl0$i_P*Gx@7x(7JLA0QD{&l+=V?hXpD=2x@Ylch(Xqo<$$
za;mGkB-Euxye9m{tMmVwA%%s}bPwGb>qOA;Q{rzaSUE%;M|17ozI$g@=`n^ckIR3$
z5NhT_zgeGj%ulc^xvS<;Q|z7_-RoRpittw~?H9(pAbz%E-0>P1QKafP2pAtPeu+<p
zfANo_KQTr-n<JKb?_p>KL=*h?9ZxuWn?T!<Y33jsOTrn=%)}JT`T51mFR#vw^mkIB
z+o-3<On?y*G0tcWbtDA5Esy-Cn8N_L7J<m%dw+MIc_|<702zex##|$^I>QcIC5MMv
z&sAy)Hp#rXXA)+XKJxa@T+It3`5uHF<?Sh#&FxqI3mYgFoNZSNep0!~B}yy>w|Xku
zDpqo06s_Ib{G$Po@m1CoG;RmN(Y5D2%@Wc;o4>zxHMm)WVl*W|eEjgn=AT(0aQj~v
zow0?N4UEZPpxFV}hN@`pCN{z|w!(FRvNr&o0c6909D6(5Du4D_dJmu!xCHw-+$WTL
ztIi5DE{OX}22%`eo<?K_ltYN=zdy`~@7A&-lIKtB$(;wi@1LY30N%th)afjVKqX}F
zC!#UA?SXdX)&IwyEx7Uu3Q|=Z>yT*Hh#XRWD|#wj*8Ndw>E#8wMX4hXB2=lM41i`I
zO601mnMgv!v{1Ev#`$7pqiPYJx7^O=q&<=DZf-2f0lwHV0s<5T-MzfnmHbL#V^8s4
z{7e_>LyJ`(PZ_2sNCq%B5J3u0B!nStq^@pDZ?~EmRZ9_&za|M;q^AVE4tFpE)qqG~
zFYF(<cLi^EN#+5^B4(ha$V6{+!6hjq^#1>l^&a3@_kI8PDTQQ4k}X1ImQ@LnRTPqJ
z5|XSWdnQC73E8PsLRMC0*&!=4Gm(stMCR{xUibYx&-Fk4j^pV#uIIY1%IW+4eBSTZ
z<O;xvM-z;^ipy88UNSaDC?z%fwE_dhZF0!Bh*X7=0D})=LN8v7)+f#F3l7)&de<_4
zkv#w9w;`+@NwVGsRn_^+=5?yY$DZVow4<`veHJglt>c4GuMns>WL6MSuz?#5m1<GD
zvKu`?aD&#vydi%7CNZb(e9GouHl`s`d-5;F+Ol~~+z26DUzc4OAxaWQ1Z=%H)~6@x
zAIQ47iBG&yQda9i-4T%j5RP4gx?3fsM>)m8A^7s++IyzN)T4-ILf|ilfLEq<9f6tx
z;tOID_ZH5kV@{8+fCL5Y+iuuy16gwyHCFC^q1~f9)~C_-L(F^18-v%%VXv&8g-d!W
z(DX0x1%=1GJDzObo7SF|0k0TlWsHacUh|9E#U`%b*hj+po-KT3s(C)zGPm&MM9;^Y
zhY3|PU;mzaZ3=`%NGJ=eTtR^Zu`BDsSc}&h0Su;htw5F?62_p@5IHE`_arJYF|*y8
zk5=qrC509@^PW3$P8V_F*If(BVk?Y|?Lj<6IaCI{zbAT~i~9pw6~m|mcL~Rqn!Vq4
z<=SgjEhccLB<tTtVI=a4U~b~5^YvB0%96Ubz`z)xmjeR`5c>B0`_<mdOmLD-PChmk
zmWy->xUCBE<IPQiyyPpAhUR7&<f>zULQT+h%cn;u(=z`3Xrn8V#OlK&t79RlA9SQu
z&2v(>pRw=1O`q@yNu0MX5_o<Z@d|75$5?B(^s?W1G;mQe_C%p^e@lx77oE<<i*Y9p
z(NQ4J1L0VB9q*a}fq+CDtb}tXM>=`0G3a3=?hx)Cs2v_Q<)YJbw}<f&&1<nu2QJ_B
zxbxwIg86ahTep^$9bEUezzm&{fnF$sch1+`+@x=qPXgl9F9~ljtBK0Qs0x_kGBfnA
z$d8LYgIp?IQ&R`8IS3{G1B?;qLQX?gi0(*?ni$-1$bo!I)zovMKk9O@^ctB+RB+^F
z=Ag^(cuA3;kSy!nuj>aLiO)ty`JmV#3I_7a?L9<bO3ZxwP6yTXD&XX}#|;e={=w;9
zss%t_2R~@vcn7V^*fV~IyT5e0?$&OR6Z2=9@Dd6N{&ubny4v3*a{J!N3ZI<}!__#e
zi31NghnpF)dm#q=*xZc70xX$0loV1$d3dg%<m8!hSo{fB;gDSARL#s&shWu=J-cge
z@JmZS{zkp+L1ZK_(!UUG;J?DMO3c590^ys+r*Ws!+;$6;Vq@gmp`;WwRLv8~%t2sM
zZK%zTebUXv#WeyoHorvUz29#PxCZT<J(F&B)+QJUN8GzNwm3iAG&{BTy|Q16h<Wpg
z;>3V&3U}5}<VL=m;Ae4j=G432KTMH60KvF;NNrE6dg9FW?QU>?LD57;(!Bj)q-*iG
z_lauKc@^Q~Z?0sq5v4BOXj+A54w?mt1`EO+h0AE$gmuC8nre4cY%KW*$u7#z_vxWv
zZ)j<;gy%CBUM93Qu)2JQ??eM7Ll7w!qW;sV1iQ@;CgkZa^Bd-;SprX&8-&MYr1mJz
zz+eOk4uxB>cBsSokux_Ipv7uUkvm^@?BJv1KuWX!`hy<%(&I0R&!vVy{p86<b)=#S
z-cvaEH=uS&TFB}K6G_ivxAV@9Bj_tQ)p|VJO5sx2iIW142R$wfN+-SAfkc&>zBgBP
zKr)OVGY5w`NJly!oIWkcq;mSS-ad;U55K_!NZu%X`xa|Hb|?g4!HT<4f>bvsJ-2V~
z?bG)$FI52PCide9)lu^ris~%b>QKR=ut`HfF$pajnpEujQC!jqO&5xT(O_n%r>BPt
zNnig5_~A-lUqICGLxHP++#o6e0VqsNCcAjyuLCR#{R6)4-9uUx?gp@kfH6RSBVf2L
zdsj8n<~i&v0KgEOfmZ?V;1zYP>P7p5VSU*12<ul1_jwNAr^ioyHg^?Pb0R<=<P@oj
zH9w#Fms=UaWXBQ5(9e-kq8<8uPEnQf)n{qX9j2TrSB^qx1b<3_!>}wNU!}S(QD$nG
z_1W5((F;V%MhVzJKg#Qe2_LaIh*mzC(1yUJ7!lLW%B>BD_NPixNy3l`d=`n4hyc+D
z;)jr?U4m)t+c%5qRD7#A(tx!J>gVwyW8c#>59|)2DSOfQgagJU(b6@sT=$b`Gk)sO
zrdap#FSI_W$TYGZ94*(Bn!WeUFiHH?$%a%hn!?8tlwZspg&9sIyDeOActo*l7r3|*
zq3VL$(8$aUlmLhEmo0XnV4KaE<^4F#T{QDi;KDXSN-GM~)c>J8VT;0ff^CI2uVraa
zhslsj#eO^hgQz~D;y}eE#K$+VRB1cT2_tzDK5oCOH?BXqM<GLlQ6D)(xCbwonzmjR
zt)VSX)Y1)}$%}z95F*wxP>#6jFT7C4)m;KT+q0C*9bET!`uhd{HeYwyXTW}2W})fJ
z<gJs!iaC3&!fRNEM~lw35U+c1o>Bun0*^lZYv1IgY0AUh1qmUBtG{Crav1EXDl_*c
z<PZFh7QpBDJ(d0K3$By77ODxj_z^XO^MvxXkfe#@N$#+v033_;V@PShoEKwxLaXxl
zdu>_w{NGPPzI`%`g>a<$!w0M|P`fr8G{b^~e?)c>1R$p-?zDa<qD2sBteU(cp7=Mm
z5JZ7767RLgLFjVcyn7dq3JO@fCJM56P=qU!%+1YR$1RSLA*2kXE-sAEX_89&+d)u}
zQ!zh4G8$fmOP5^13}F|?`YCp$ZgR;3C=Ol?Ev@$cew$y#`^1Ifz>+i~{Q@7oLMr4p
z)ZiVz6gj|fgW!`Jy2+ooomkMkZ73p=4TIp~U$3Ndu77{Qrs*&_*zrX<o0vH0bnG#!
zWyJ=6-DOWfD)ZExF(!Q2GPgG7e2F!6a*Gze6N8QdGBWE3uEg_T(YqP5{A2Abo-4{g
za~yRR1pEvkI_mo29N;DDD(F@7Dtc@_<*vr1GW_?Lgkj#QsGWdEamUiV*6*do#VA+D
z=I;Hgksm%@;XiJpviCVD3`z1n<}7XR2%VN&oqPtquPwfOn-$EA#>gzjsI|Gic>e3j
zvGH-sdEp&gQH{c;73eX_)=o#DH90klxYvr~*u1lE^t6}MYC+znMn>ctAv;si^zOg~
zed)jzt-oglla;iKlho>eN<ZqU?(6#t<=xx7>2qX#<>w{&`L6<|r|Rum6!raDz`2cb
zPd9s2qmDYO)db@;hK|sxai_|^6Rcx|Wc-!UK!y+6u*@wt810mIWRAXM*zH8}<k|8~
zDQFWamXxWGu%Gw)wf$*_y+`*PVtLY4{r)}Cs)yhgPWJn^THoGF`cdoV&FXaKEHQ5%
z?p2!L#s2Hrcz`!B`se<b>izx4MVhL@<ntRJ<LRV(ORXcVGWgh#K&KveB#m4oOyOS$
zqN^PKQjqpbqd!ewKMqPF<aQCe1VItGRw!z|?A*h|ga|_^2?@*$_Psgp-Nxj&4`O@0
zy*x4S#2@gyoZPl5h&V7oq7$!zpF>0=@JV(5u>y)~wTK<c9XcOavjxH-=IhEWV(r-C
zUz>u}x#^70AwqREpKur<?hqInTJ@UW<s<wIu7s(jRgkcXf9L_4qGi+hmYm=cp_CQg
zJa{m0q}9Z6NlW*x-VDjm1@0KAa5;kN1&;d6Oe#NBUSvdxJp$%Qbnz^M*D5Vq1UC=9
z8V-WJd-k9qrvPELc!?12B`VrBJUralNlX;Q?tnEHG$#l$D^_fa*mz-1#@>K|2*5H3
ze9SYT!0Jdo-pxb@=Z<au=Uz@T@6}4vCb~QK?u{ZtXf8T#^}8`S!TPl10o4CjDl<Cv
zGCO|^u#Z}wdht7&(3ADlc)z%~Go-8-@G;5orH??>4aE>uWaQl={boMqX41TL6!89k
zAPSF%%iNK`>*;<xMy_M?gRdYZ`Bv3eP+8`+xOW)#?d$7G)fU*2f!-eMADV)iA*=}q
zxY`nr@5NGgV;e*(jnhO?3VzZR<vDY5^JNtW1$uWKRsK55nZsXUw>Z&)cTl1+?(+fg
z3oZ6`$KZy5Qu4m3hnScc*7fYNUuVqBxDNi!NUXLut(4m1lR41Wd9rdnJg{ce#H!Ex
zwc1XIKS+s9&Je6-(sB$na+OL|;}F=@l$YIFbz5yVFkj`$827pd{mpvw&tcOZF}1&v
z+NR!*KLtAWoYv&=?f0^p*BrT7hdETBT2bNjMwTr)K^-NZ&9=(irx2h0?R<RqA~vy}
zuB@Z3L2Yeq2v|hwo<&gHv-SnT$hU7gCMFyc_XZtKH8{u}@7-Hj9<U~R8e%BieCXzE
z5^d&*ka2=G{s12zasyG@g;Y9L))RsRZtv!|A|sd2F?O>PfZG(2{-1W^r%eUwP2oiw
z9O1iYXvm6Fmw{msXb>2?>`Nk@s)wQ0!{-V`?wPcQk5tn-5CkNT_3Q4!j0M#nr39wE
z`MFEH2A@|}r62CfHQRl=jLYGaI*ZR;rF$$$*#}B1(v*jL@}RJY={xr6lpU?AH!^H$
z4iDe96axY%n?gIywfo+I)IiHV;5-jA>OOsX<GZzqQ}$a?In+?qqPQ$PmTB^_P9&Z5
zgq8!xV;AT+oUROfM4GHPS~AODj~LITzB`!i?r+N@Lgu-|yeVEoLlvkC(4YZKj*8^#
z>HY1HyJs!e9VO0Z)F7Vr5amY@*2Tug=5}8Et^;JYt7~WA2jM{Vne9pEVjn+N-IR3U
zfihg}>{%XP^6lGId1IE}8InZQ@1mk2R)9hBf=vVX6RutW_!!zChrr^DFGObwMl}*0
z>k=%VBq$n#5-_3v!7T<ZAH{=V_wU<UTNisQ9daL_nrnqY4|60SE~HPQ(#`qvTh)M|
zRi~1~^~>5(zaa-`61`s**fpunaD#qoyy{l&>$3o%u#|xxg*_7V*YZ!hsVSv()o}hR
z?K($a9`2Hk-AUj*z}l3D#TUUr3}i!3eCRpY0te36t|S3~I}fSX=YQTUUXY`Qv&-@z
zSsu$CLtD!t`U3Vz*(Y)jM~I!)1RjS4_zJVFPp<LC{(0$@VXyVL;M*TRLN|<g(dCv-
z(&3X}l)&P!`gvB1dNU^~3A}!v?Dp-VZWe?ga3R*6VBS<4uv_3zi*L@q^rU-$D~wq>
z4mAAQawTw|uxFIR`v>O<7Y;?^5?7ElN%m1JaS$mJ-;)q-Hbj=`#TIeD<WH9_vFeFF
zfhOoOl9s-S+IsF;pC(&!^ljc3a4dx<`}sF0I%#F*tB8)38LRc-!&0xTuO6BIs7rW!
z($nRV>r~D^Dp9DF#*-61eXr?ghv6F;0bcGD&jK`-D(_v&{Xs!^FlaT`BDP3h+B=p-
zzA&+THzI-)a=nAj&d!PAKjQ1$kYf%U^qh8Pq#{mKsS+8=wCVp_o1K>P@Z*g&^@+PY
zzalMjlXlz5_UAP}oYBhxRv*hC#NGVeT>x7Fb-*VUzS;(o3qOIHQ!AC1%v?A4uj)`F
z$NTN$eD<2&_uJQqfj_HM)#{H$H%q=J^Q2y3f>j)Hi<#0_6$bv_`L8?>(XmNvs_Blh
zwhhAhgfLdmZ|10yDY73t<D|(t30nxRS5E97^Nv%Jf=!!{apKt&|FeaNi$OrF(B8O~
z8gl~w#IpQIu%)*f2y*?XBhrq-c$%5vdpw>Le)+M_#%gVSJwvN#&}9XHLJA7+?9Ky=
zH9d!2L+8*ql-KW)mVTNFHa%o^MgQDnq&hPJyi7y+6hMefr+v3Mk$^-EVZ6%fS4U|8
zYS4XRFhx!uE<OB;QwD-5Wc4AI4^vZPV>-?OoIdcn;#00m|DbMkh&WSkN4P1n34m~+
zGi0pD9Je~4Q#qe9Ooj@n_+b@&yWG9=xeCbXv9SwAMr;W|>7!P!*)_Jk$<Wk&`cEOR
z2SkNmhm|QPC>~2WB;RmsLYobg>zi@>!weB6S2S4v3b1ILL0neK>1W#>pt@)z@SxSU
zp>1w1M<h9v)z#Ip_H)P40c=tfj*VcI5*89_QT8KO+22g-aZ-4EL{Iw*gvCgd8uD4Q
zJ8PQ9`)5R+bJ6|cUn3b=8jKcLfb1#ElDzUwOPnlmb9o6DmfcwkE{c`&<&2rD3eS&6
zjq6t^2N28i!{(*0E7TuNdEZP4HR;QRHdb4$LviHdHzpj`;|3B(Wk2ludG^s+&4r4H
z{%QlmQad}}f<OI3v;AK@bgo|?<ghQgZd{brZGdyrfL3RF86Dj>*=?hg{&WxNC`cYQ
z&qZ9ia;NI)lUrZ@uJ1VNU^NtHVKwwuc5ZP4=1+X#{H0wU%c}M6`T0@aL;@BQR);b%
zZDqS{?iBGVHx!T6K}H(Y$T&g1=2LmE=jW+>7P-W_rY{Ra_IE;`{5ahe{fPRT1;^p4
z0M4<&HTqd!_mY<kn}2z&D()c^4BaHL@LP+B%q3GZbNbiNJyw@Cy>U$BE9%ZMrpf(&
z*3{B+60r5PYX|qOlI_^h0%I})Bm+(y3^u2pi3kWFRni(P|NW3Q*Nf@rIsb@VERR-x
zuoZGBW|I)`j@h~~OUb|fk^YR}SKPR!D0BO@zY3d0H0D6Aq^oAdV!g1@td_4qM)}__
zvp{H)uyHP-%&M3wdte7GcduaYPC5oZr7=fd&I8dJcpIum5jETO`SV+}6`r5HsHK&Q
zfD<W|_1_-DdyUCi)$e}@ch2dZK`ZRSU$67$TVY16=kT<}&NtzDR$KjPPLAfGPWDgL
zJ^b^=WanZPh6BKJVyg};Yp0IFZH0PjJmQ`dxo+Dg`1cQxx3GveNZ@3|+cBZ~lR6&<
z43@>bgRA~(ZW|_oDS;vFlb@eGO@(seOK0ceMD+fb0*L=z%694AIxqmu258{dVu7{h
zkkecjXMxZie0Vnj7ZpG!$S#5y`Vh&gdng)Qwc`1PYSBC(hxi|2zRS{`{`r%Go&97D
zEiOkSIe}Qh7ET}X6YgJ#TL};sLTh8Cm4&$3M*^gxppzoQ+BF%+Q85PK5iX<7A8!qW
z=$Do}%A=wf79Kw|IDy0q45+vWZ6ys~cIprP7Nkvi@#E8{b6L9hQ=x-SJNKgV2R2oh
zDd0`QVS|F3Op_Z{*yo^@=&}h^eg==STqW7Py7v<X<Es6)EA5qBML0YrQ@MvKsK~0p
zutHh|#*1MzpiykzRmG6p;#VQ;1DInW^)$dCf?8nw{h#ltvi|U@swuynHCpd4waZoi
zrtu1Bu|9o@JsgL_R3*Eo@>WW;BR_$a!^Kh|O#;i6*JOnvS&$s_dH9B*hfq{n`AaRR
zR?95*^>&V<;EVeo+PzetYp~H=<&wIHh)ZY@>Xpn+J?&c3yk)lKj=GWa$Z_Akwmu$f
z3W#Xkj(+pVc>K5^Wv2?yGv=-%<-o4_71kHc3Mm*wW$Jr<_r&N4>Uw#t!${^j(|e<0
z;PcZ{Ms4HAuCjZ0xzJtrA!uB|9a|$HnfG|D`(+gAEyHK+5Vn@=TA2UrL#}Z7oQyPE
zqA)(6_<mvj&uIepX=-W&R*L1@!(a2w91Bo2-EQh$T(T=t>%K=IsJ|&BPg~_83;rQX
zNu;W2m|YGwO=3PWf(Q!EZj{=HGUIf*H&?Ot2B|RHW-Vv~c4nQq2sRhe8ZerU&Zjf3
zPC)gKjphCy#eA~9=#>fHLbeY@KZ-SXv^`F_OSz9A-9HlNu3Na%@5RF3Y;?!F4&J)7
zb&_)XZ4fR8#ogTEZ$*p*dB3_af@bm1h$6|CK@e<+(un@&P$DA>`tpcaHE)pRqRYmS
zIN%zcz$1Aww6y2S+Mihn=r)GGs*3m3)*d){lD+Edf@97LZKc25$EdD0g@NBxQ_ay`
zWO;J!IHD@B9RPO6dWpRVtRMQKVZMC8yV)brsr#}MQ4Z-D8Pmx(dRH1QCiELFUv8o8
zb;(=?u|d?a=qI2&63VkqYw?=B`<d=-O;;cb6H>$dBcosTijJOHKO{-#$~)S`<2L8%
zfs{Ec920H}VV9R)seKz{yZ3|PS&=OyuV`HGWo1&*!VQS28Gj$L0RQK=d1pbqqXaCt
z^Xj7T>T>XCOgnDFwl;Y!#v45P9^Pd27Dup}k-`<SuS{TsF7?`Re*WO~-MDy~N%(+d
zobzF3Wc)05a99=03R>SV`QW-#=R<G_plWP<Ktm>U(!Mbfi2`vJpdk=Q>l~V$on@aS
zAE>;8ZBNeQx3#>yJjQD;uQE{eK0dM<ozOC5_be~8!-}uXoQWQl)*Z44*+QI3$Z4ng
z<C)%cQBU7LZM$BR%2u|)E}jItgDt!)baTOwpxL1xAc05LIQ*d4rFZ=SEtMmSigj4^
zLr?F|mvHQO4rjLw*zW}2R5`irx#S*HuP*w%fajB#@0V{t<|lC1Soc?vv2qW!QC!NW
zs(JqBd3i+5u$OR!I|<3pp3G3%4|2&h-mD9ldvJvezdrlW=)}|~lA`RXvVPm=nX1Sa
z$IdH5!;xffDRl1xLw@9iK%6x0i)0kNv{fyVX9vyS^l)`?o{f#Z*l_1LIA{>MRw!~A
ze&OmH>#ynHDE;bDDuhQ$C+Dj+CYs%fg8Yxq{P@vmm4BEeZ0ekJpZ>L~?*w@)1rQve
z;GyzFVWzyo{CGjXaOMWd@Qbl@->(ga?ijUKDU?MThhX@ZOz?*I`cs0`9Fz>GoO&t%
zRVJp)Q;BysO5fqU$7kzFvgtz0^zuVH*<iVJVsKZfmVv=4;?~PyjInq#wB(az@vUue
za29y*RoA5zHI}JcwEnHNQv5gGu-UOY-jYAV%n=u4?OP)oTuAfkczb5h%cy9fSP24Z
z-4nV<d2c2Fw!7pT5y3J0W#s!}gP=d)XB3K@{C(xJ8T0=8gu4H^Bpnk_zHpGRO!FX4
z<QUcF&sP_$VF*>#a{jpOp>Sn+c~aS@z)-S*v&FQZViePLXg>RuU4)4g)Asokd!dg<
z=3fRij8+GC+1zqsmUU;dy~ivY5g>84{d16Fi7^pc1G)@RVG*32`P6}Es?39H?ftDM
z$nxD$^-<|km&nn>Ry;+N<Tu~J^YIRK8>z0Pa-<s9*~|R*WiT;dOT2SuyQk+G!0X6N
zXNv$l>d1%YiO#-n%}?58b)~rPQEY62I>gXLa6W)$NNqZcSBssU9auTfxM?P$<Xm3K
zCO5#arM(4pIWaDhColUH9BL>NxR}ue@B#Q8CT9FPG&F=4Ddyr&wBMm)8>(##DKMrB
zo0M6<>9@2u!&VPqWtjbJ=UaGXva&E-AU-HT`o>pOCxq-2k(I4L8b?V<U!GWd@|rCw
zE{GxUL_^;#jg}4#$Gm_9o^OYoCrQlEYt<^VNEPHF2O;utkKY2Z0mdSxEr)l=S5;3h
z-zJmY>MACN>0a-C9N>*O@2iLs0K5t7!(j_$f|soCOm8m2uzy}iZW$h~L|R=rMbiuY
zzFYo`uW1l+lX3Y3E;c~yY@%`MuHn-eKJ?l=k#zTs)GmRXhF)@u%wqpJmmOJCe);9m
zLTsN%-#iLoIcS#-y{5&H9d7!rF5B)dkP{%WDL3SZ<OnYgReqf|RAoYTMAdk2Ov(Xs
zWr)<FHEOr!WyfTP&msw3(Wub|-MNAPi<WR9MM`jPZaXSWrj8bjyXx#~yeT6h;?UWu
zm;ZLo;1+*{%r*j|q;N!p7xpf)tP66`&`7R~&^s@G4eneSQL*)&m?9^6d{G#a3Ow3P
zLbMwX5SG%}(P8V>yC`*^rmXBiYi&}a>dyMx1@Oe5Ko%};)<!E4qv8i3UOPHaw@Zv6
zP=9Q8Y{$2$)buXgDJQ&F#p9HfwRE7-F?JnPdO>&?n0$`HvHpe6wmk$|?*8NQoxL8-
zXJXD03?sJrbs26aHb22%-0iw=Flo^3x|o*{$&-B6FX5LveF%C$3c{j)S(-7kDHGs;
z`p;Lf2AugjMvl&VKFB^i#V8sZD)!~RAU7FJ*3!odgtnm_dS%%|wwV<hSkOq_M#Hav
z7C9<19HLkv?Yp@SoCET(?4IdCb}@dA3VUmvuMJ8-O^BxhQfmxQl@Z-aiXeJmIYu-b
z%w|)wJe`iB<k-8a8LKF~Lw65~0>Z!*4nzzmWaZ{+hDkPm6D|W#Nh*?;xW@=<>|n5P
z<B`d4|CHL}bd)8GScqnR<%$Y#I0iOE25k4MHP<%)vvnPqXX7wYm2l2^7s^^tL=zqo
zk`7}0%^R57ku-tizy13ac;6{^y%hKej1nf*BXNTK{Fu0+n&4+GEGoLdXzAd9)Cf#}
z@QjVmCBC>;Vzi0JB$6!$JW;yN#P{zYYjLz75(w*HhWAm^35=B}Cin{w3oHhfShek<
zTwG>92TDMx>|0%Sg6|@#@h$HX%TiPGy<H0}YIq{yPIX<*pkGA>KH!fF**);zLmDwL
zQ8()NDMgN$um*}*lMylau-nPuiAhXMJWp$WYX86+4dZK~mzS0aInF;i<Q{$x@E?80
zB{kZvYd#UXPe}RA_Lz6Y2Y`a&{lSpo;2Yc;vn*8TD#)p_`2PE%N+H4uu3jDfkbQ|e
z!@iHbl$OUwF88>~cc$S2Fr+#<k0K&y<0N^R?jhY0Ayn#oN8{A-)?gXH?}^|Qz<1gB
zw5iDy<>meI^KWAF$FVd{I=);!EUceLtlRn$zAtfhzGugXN&2g<CpDqIPxQm)=N*5s
z{ObKpe1sf^f;n5i>d7AeowN6eVnnAU0fW13nuOo<v2SnRiWAPal)v_gTX6nRx;z#l
zg!*1&+griOJiN8J407{k01g!RG916wgdn$8I->sQ9N2gp;J++kWPT~EGdo^gY(o?l
zlAsg+6Vos;GSY^W?lv3a9a8aJ7mQ^?MQA(4Hj5AcjVDXl3Jo|0dJ;-u_Q_)S3W#Y`
zpbfu$Uo@_?;Avox5q>=$d-68Ui*DpP9ILrdQ{`wZx{djtvQ+$1ZATeL`l^kpSN;td
z1i#m#!m{OG$iLWQ_E+%m^-|ABeXoK(p{l7b*+#<T59rJ{cp`mr#ud}Fk-)0rQSP&_
zJ=1s6CcegXuHNuO?%`*i7!dI}^W6$rZLo#T+gg0J*szs!r_rb3r`qZE>s5lqB>U1M
ztZ+0yyc2f_9_yrpgzIn2=rP9a*(0&P@u%QrHnU2e-61t*qA-)9X#j(k`6L@9J`=oX
zAo~D?@N`6#mC1a46dDpDHmvuqv=pVVjl($SR=QT+?1ds8>5xdnL++NA)~WsX@sJ}%
z9OI(5{XrBs<LL%?4>*N@D+p(6xZXpP4lI4JfYh23BO9f6<F{mGVQCn~pI9HkNlQ%)
z)hH_T;83f4ZTA<c)W-keEhShqR8)dB1=!XLZTIYEPGYq5&Z4Hhq8O>`hadJ?lKV&o
zZ)kl{QbHsXW6q>a5Uo>?_TCQ(*|}>Me7t&P^eI9r&3mq=7zOrJ)b%+5oCLG|%VVv%
zYChPX@r3yATcIXth$ZJ8XMxm%R-?%|o%ZB!toT17u9p5j>9)Mt6z^X_zIDu>dQHAl
z4`fnQR6*G_DN41G?k6*k8t83X;AN*GY;Ja+UXn9Pu1=r~t`50-mx6}o=LOe8h$`J5
z2_Ya{ujx8)xxDWDfzoIfmqMVu$Y1-*t<?MxPQ2$e6LaUx%tnaWk{CH6{v=ei*8J9^
znAPmN!w}mxxC@Ir3j9X#kdcVq@Vou|XZYQDMJ=J%<9DfR);s}i;EQu>A?(zVlLL_!
z-m^1ebn^%hOw;}W(H$bdNl)h39yec4omSS}S)uU~iY-vT!zgKVY5^1suIW@p*SXNT
zsWb`(62A)aVN0`F4hX+Kx3`NOIt1X@W^Ui%lKlj>^1CkVUS3`ZO@9j><K<RJ%BRs!
zxsH3ER_yUSH|Dhi?PMTJMwo;#%>a_c$dYu9KeCg6rP0Z$13JW)=VmWOh528;W48U@
z`x9zv*q}Pwa&OLyIr}V!smlpHWrlSXA?=6*s(t?+57?<JU4A}3;3!rxlQiSzCYAe5
z6MTZ6vg5fF5L-@QKfLd><o*nV)!Oh%ZgJ`{mFJ9(KC^s~;h2{*hO9u41zf9*w$G=6
zl*!|No)7`uPimh>ZO>)M99%8NOy#W`#wj;cUmskf`PoK7e{ynC8fCFJ_dTbd<6tK5
zo%3(Bzz$gx9mR?IlGC^Hv1tGhsNzand2<hhSDZRo6+SFM!R9g;_F}iYJ81l>_D7;T
zz-W|KBDM7GTb(p*oUgHu9^r=tbD}}AxHfBRPmdH9rAKpcee#|~_gV*H^^$17?xPzF
zKHc-RBDWhY4uKhd^@>Yd7m?Vw7;)k{IAr65#UcYbQ1E&%9qb~S0=&MR;>H;E5c=J2
zz2fDgs;Y`jX<Q?y^}FHEcnkSGREeEBRptH7#KCW_Y%$y*>yK;wuQ+C&pvbxsC)<;u
zAU<Gt1s8~ZoW42keok{*f&NItKocGSG`<KFh?IyvBD(H?17+ukdfZZ<f_PZ|IALUL
z?8=ci>v$I@r>{;WR$Xi$2R+dAD{0s7EO2SrkfSD<&QYt=tK`oRgz`w!5zX_q%J0Lm
zj61?`<7A<nZ%Z46d_K#Wl3eEh(E^yRlMw*t=*n#d!*Y2Y@67|Wrr@$8Vrh_<#plEN
z4d5EDmFnt^=ra<C3IkvUgE-_Q0DG`{!q<%;&HY3xD5zD4Nd4u_3YWG_z|Piob=|@&
zMI9Dqnu00p=_^zL5Cx<dx}ST!Ff$|N)<1A*G~-IICz+A3E9NJQE>Y8c4R`ir+$tnE
z9&;>Iyg<9T5aH{L2&>R)xs<Zi--%)@v>LVEtXkUIzp(ESgMJB+l6q$8p12}jDCa8i
z<&Ix)y%m@G9dgObfLe(Genj!f_qSpP*v`Hww`PfUyU9<$0C*Mf9NtS*lFP(o%f<K>
zglP&GRd~5;cMx8)%Xj|9810J&2-*A=>v$Sk+7y`*)Av`&f+7RT5u-m`N=x;>U%GVn
zYH@2RsU>lD6gkjm)12hkViRJ)pYig%>bsXOVe!C|`QXxZjtG7_3IGPQ-`~F{d$vuu
za;0E8XM)_zeY>sX8g!GKXMV&c>^+Pe(6TdWXJ`~36kK~2SkUXkW-FQS;zvtFb*1U~
zgOvUpz0vS{+DR->MAV~+PA9=YN{q6i+q`V}>i+!g;HbSn?itV_GGu&Fme=;9qE?*c
zuh%A)6kv_QM#W~~5lHbRvgfUz$LOEqImIf1AJt^nOJ?QmP*%X)g=fFZ#$Cq5$>|r}
zjvV}$(e!`=a&nU7#Z^;USdDSpDL;#R`U<|#{I@(&jrgq_h5_T_rm7z9al}v$wFizA
ze8jkO^7Ak7MX9A}|5IZlcpi>+V@*wbY&Ldw5^?Ibl3y?(s`J5%7ODCf(G^`?X<asr
z+)+Yk|JWqaL;w>YT1cV+P~uE*b#{JRScr#>L(XSlc-WUq&dA$)0|-2#gH7>j;>y$4
zcZW<4F@dn*(n*m)*mc=?Q3Z!ATCfz$#AH8A@#Xq(eojKK=ZP$zU5rY0LuDm}g)Zid
zK3?pNm+4BX>i0BW){`OGSNrPPj2^B^V1v6Tg(U<$4p~@h-fkJiuw?<gE$?b;)%?p^
zl;xo^JvuBXL@RdJqTa9SYcn7HGzD}HMQ^Rt%MrECMDz*+RAp<@iSJ0DO;-3eIx2Sg
z!yTZYC1v`lk^=pg#kFvX5kW@$SuG42%8ud(nC{^kIWz6?I$l)x>+53`@}ZU~PqadS
z6wo)$u2(i_e#-BXd|q=290epfnwpw+c0%a|*Sf0k0~Co=J%0Q+fR6qzU;1oakaY*w
zQhE7FcMBx#!ekfleq?5**(x8NDhwzHSVro&uj`j`?6VM=AYFkSr7-mLV#pZ+f9(tu
z-r}u3>aW|{L=9{Y&~p2kkalnS*^|;3$=_gK@gk}^95^0OEvoncEXdL=b<Dg)otZ(-
z>bp(j0+6F`x4jQvzBxNUzt^*d>}#+f$Yo;MfUB$TLhW8g^-|Now!*pY^+B!9`(KZD
z5_Rp$Jk)F@ciCT#m<0&<3W(#BXx-c;#DcChxnB)Df=q{zE7Sk>8lE_CNWlJp?qR7Q
zet;ugdX@OhkvtWt(H@~*-CsE}Uh4Q=ulJXhKyB^%wlHM`oFtAWijxJMVvd_x|KC@c
zN-6*|?Fx|EiJbZ0GBU^6lg~{`>@TO7_K^>y8X6iRDtNN&Dq~B0uvruDJoqi?f9wjN
z4=k7z^Q#^uTGN1ONo{G8jeUo98QALAfcZ|=OVf08)+|l3?{l}I$uC|~ZEMGy0$v(E
zmapTYk6*!E@bFrpcP~-sSnhd+G<R#Mg5%!t9afd(8vMi*vQbu}AZ-F*BH>sd{#QzP
zWn>bcz5*YN%urarySglCIO*mZL{CUcW6H#ihbIXLT}k>0^T}#JFHmHuZC2yL<$kS?
zC>+qzWC53v0L)`Pfch_<W28d9w%8S+%jY{}iy;ZjYH;N<`WlNP|KZ~bii$|NgfrUO
zG&$zt4;vxW``b5UA&-6>hmRG)eLY#C&5k#!Q8kX?HqvukU5oT%ej*&Y)Wr@EWE6XH
z{JkH!Ipfcs(wnAnXW+ae#;p>Ms^hu{DT2ufxT?riL6%^GtF`lr&|dd0!aNKm`VzN^
z&L88_?#`Y2<_y)kJp}ef_|iZL2FC1zjTzGRHfJ4tZ{}6U(T;rXi3^IiQg>$%uZ?W9
zz$F8xCep~TIAJfXEPd5j<(M$vZRh~-@l!2_p|07l=+LL)VVvi#j7v@aET8F}$fKX7
zC86CDW<C8+6WvMJV<vV*y|@<ezOAFfT$K4P&sN>)(bMS=AQSa2$CJ)gRrhL2e|csQ
z{`7d8IIvsHdszt<Y?YP+_kWX;+I4>VBrGbbDad3<lXcz3hIsfoI1p=KGg3Y_G$2L-
z%7@({ck0K4^m6<xK0m)kEGC7mS;o&z#sn$Th#ZC01d|<JaLgqsCZjG+6P6Yh2>Cdm
ze&^Yoe~-h=#+-Or0RzG)?9I);La(AMs`v|eC%5o`ZY6|BoXyG{jP{Q$g3e1nO}pG{
zuSrGcs<KsCz(bErgM!c&E210o#;KJhyJ?|DhM1>xeA{A4)jBQ5UL3#^<o>hd`|63x
zV1PyLi!D;e1U=SnK6aUX#ht<E`<MA7nT3S~iooS_&B=mB-%D5F#Q4vby(y|b`D2@I
zIxT*>G}6S=>%qvmb>I7H>gNxwtq%Cv2lPaVR*s@W0VH3eMV?jQJFO7DJ=QrmcQ#-_
zTaNV#Vz^$M+X@1}$_ml-?_OIxmZ4lf{6qJh$9(s>b!QF?X?#&3FEm63Zb;l}lvvv#
zdyK%KA!P8j;k7>>+BIRpei#&<sa+E?D$HA6yKr`;vNhFK1wE5$QBL{X!VG7}V&%CW
zOWGL#@Ww-ep$wbQdowO1Q(=cej?VCmpDL(d%qBN(lq~H@-fV8L$U{7cY)W?Lk6v3B
zSgAweH!h)>_0gF$_;4X`o-b|h?v6=F*oD?yn62WopCl%-q3Yhm{-VJqJNKJxoc)NO
z`G@<;&=kOpgpRJpbIS2Mw{OeUYerkfp8H_(e*cEvEB*zFo}qn0S_vA!@fT^ghT*t?
zF^85-`ayE?&*{(rhbt4-#k)o=g3TNTPH>zgOB8vDHa)9PiP!!TQAhlM&pc}vWV?4V
z`?7(cIjNW=<5~Xd>Ye<;qaA4<z-2AR3ZX#@K#oq&E5TRq6IU{dP7z8jx=p3DEq{$v
z;V1#?!$`T~7+upFG=)KLHYi8G$dHwI_^PK-rt-z8gR-(dz$iiRed|^8(8CXlfOicG
zXRNB_+Nb?lgfwbt5Bdz(E0_50zi8UAV=lpO&ZO>_zTU&oJvT?jLNm2>bh<Pd;Vvk-
z&8eh?K>)LSV<T!z<2Z-$`eHg;M-<2MOyA9ax<{0unmP43om+Mpk{jSuxVWZS<82Hz
zhwd^_W8%TsJ5Q9lScZSLqd7)9ajKodzLP4U<qzV8VY4?fN(>GT{=0Ar2-RyeYfMh&
zpb!4|l`43%k>u$NKILV2I1O3~e$F#0q4NNZ@JMZ#a()M=B&v=f<^8_s>EQug*&a%z
zl-2Aax0RDbaRY9Xbi1in_I1r-BYIRM9hCDQea*y)kf2D}yaF;L8m2N)<pBLqtj(mB
zKgByqu~UIm=QkJz%VB8;pyTPhI)2+^qw&q@Yoy9yEJ|8XC+R*HVG7G1%DZ@vGw%W2
zeV&Z@Hpa}y)Sj$~hl4|c<hkHt`V3=uG4OEN&g*aP;T8dBd-5nP?Q+KA_#6$3^aZj4
zgN>I<*N+U?K4vld-&?LogeA<X?*2af*suzp1zPTTNy-mjn9p01PnNbG_V5)n4Pt=A
zclT~Q+6t*)?Dj|A{anc1CN31)1h+DpJ{@@<uzGGVQEZ2v?qh$!b=nDMt7!9cGG4~*
znRV@6;u*-^#XcQK9KTajxm9l8=-#%uH>3Uf9jG_u#XOKAR=F|jfNJd4=(p;=<mTs#
zk3Bu-ZzVw>-tddfN2S^pS)ZJ*V}<4k{eoJI7d188`ufzEv>7e0U;onA_X94MhYy{0
zy&z?18FOu|TfB-&K&nedDmW<>)o%cT*S~N<QA-CEr@jsw!%wcQLZ{737W?3VS+^6U
zI7k(090pHN9kMo{BM?fY%p&3ADFBUWjen{EH+bk!=$&sUU#6zs6LK2QBS=FFHBbPM
z@;6Q+yKOhLTewCc`n%a88vlZrre(IcwWN`BM$65c{?nuV*#@`p?~z^+cPZ`V%fpPJ
zj|pCXPMgY2D_&@83vKmDL)PRPFui5D2j9VXAyvLvuwC7YomO4pxyU;Y$JZ3(!d2D^
zXU=@YIsr4k>b@M=OBrX<wyp9t74Uv$y|yDqP`{?C%B;>>+{)6j9LNUH{9gD4{NLuw
zd$>o#u7Y73cK3j&h0(kW&dd2Z&b!wKZ)^qQf3yX$>e{X^-xe@IEd6+yGBG|L7Yl7H
zzS!k_yiikJolQM4JG+5+cN=k*kkblQ1O!oU_Hci-JI5)v(V{x6r1dBx<2pjUAV%WK
zKQ9m(8Xhi-3l8`vj@2!FUBJuO1pd*0tEB7b>gYh|s22`6aDeZ8vaOG5WWNE}IgD03
zx6W7WBUO@2*noKz(FLWI7OvxJj$5bixII&h;Mp6gONg(-p`OLZ!6}PpmKY<1X^C@<
zaZ8HfEZ>J=>QEQ9GQab*3SR<oX`+4$?~n_Pky@4_EwS6GAx5Hwv@kP<)NeSNae5m^
za$GQhRwj3cAk%c;)szCSEAPZqC4Z2UH5BJM@0MNP2^}5tgb6b<*=_oN-D?-D<3BYv
zip8lz(STCk-Grob^<xV`lk~Zv_#9FQs9<S@t`BMig(GhXbd-TG5@LTymFLRo&q!E^
zXJ=%5>oVJqV2jtq#Vc#g8BLHo5OZ^K^{{piw6)DIwDxY;44;`357Ss9;W~EA{edxT
zC8!P~ikKnbczx|Bm%|5~Cded90l?bgSoGkggsS#wrh5_yB0;4E0@6B)NgUA>m!FT2
zk-Ze#QNj04LQL?c-9y715i$iFn|OjF>cM04l26dd>FMZT0jn|3g-~X`6pik0+N}|}
zkEj^VyquyUB6_mUPDf{E;&TEZc}#r#YuyZREYqMKuV2TnI1i!s1z$w?k9DU6axWk>
zyj*seb`WWUDFO9#_iE$OXOE$OdV2a`D2s%Rj*m};^0S@4tF~Vs&lR9N%g>X|0`p_c
zHs)gv=UaY&jl$UI%b^UmjkqV2cMcAEBlM7H3Dno`<0pS3{M}L7bx6z?xw6X7+B;-y
zc9s}lcP35d%(Ge1k^!~F3oAdS-X{V!@Ms{)n3!&YSjXV%g{7riH*b0(<Z5=sZB6zt
zr+Qe;ZQk{V#F}0G4DFb9>vhyMV5vp!@K=TAkl?73Hs4kx*-xC?hk40RGU4R@L$@^r
z%KG{qI_%aZkCD114_<^A^~A_1USs$)CB+nTuR#_beHt{?4x><ssOP}>0rMd^7Wk1S
zJ~~=8)21VL3S=OZIJkodcovuAeSVt;{|44eq%|-K0bo>F%NG8=_?HO0SGb&@Aj)ht
zI*Iw6u_}`y5k~okpkY9*9awQv$FI9%o*VpiyDIf5np7U|CDuFS4;NbJoq530Rg@M|
z_vr#b^hZDA=UuzS4zld4eK#{>+w^jsTE6qG^0UiY^R7ihRh>H}Wvs<n;PNJSv^z2o
z^#6g|LEK~Pj``Jiw~`Tifdhce{gDK$%wKj0*?cat`7`?^HYsTXhgw3{k;SvWT5j@$
zoPG*&@+B_H=g&_+YnPUmMgT3ch4bq1G(c@R<9u!H?3ejX#Y>0FU6)2?lT<}+<Az~(
z9S~a)#>|6^lu^_$X!1oxT1eodlKSE3cpyO|g^Nc2!}mpehqdN60NBB~TB4z+_c$y}
z<J2jVgqCDHZbF{aR%~WP9Ohd{al4SNgU?lQ{S8oWV`KJvwMSllVWC0HTX8WnqH5Gs
zRYgT037MOk+E(>_ajWR#2b}o_z)`8FT*7^P=@Pn9<J1v?!$eOHi3I^UX$VP%I-kxr
z0SKb7a7@!UFc4s4yt^#1dcdY$!d62%%-wJZfK5qGTH21P$tsd}S8?*_NbCbXob@pj
zZ!)w1CSc-#QscFZZCYAfB$6kkr6&j+5m(=^H<;%F5XQ%jbT4&2hI_Syj$aG63rfwh
zN%(h>RQ)ovf}EZ1)V51O$Hg@;QpY!~0i<siPhzC3C$aD7ys~gs66&hVHyUTp9zJyF
zms4G<gHgfbn(ZS2Di7F#D(!1w<3)bTz<_XesaofK`|}Nb6_)krx<*I=cqYi+Zp}V=
zUMvGM6yyzhf<NUfKLW;8HAUYJupnRzl>}uX>!+r6Ilpg$lghmt0e;#y7!))3PV9et
z{&u@HLUb*Zm4p6Ko7}o_192|RfGKfsY^<-N3<l5zzMg2OBR3tH=lJf4FPArhrq=*J
zB4Ak{su8pxMmz*zVZJ?P^I3oZ;ZLc{?5f1eW#{y0_d}dBilxZUq{odzAbLKaWhl>~
zmU~mC9QgEF<{HUgiFv2Gqz%6ImT*O7F{Dw8?hp-qir*4w@H+<KZr+|x_LH7q>Eg<2
zsHArOo2g}o;{zvCu?x)%UG;X|1WXCov%$2WYMX`S%+s_4Njs#v`*W-~_H`B24;(66
z<$ToD^WT)#8b_C=4-B}nbf1x7YeDw?FTnJ^(phr)caJU1-&73Pts?wXpISDBScXi~
zPFHP}Pfn?RUm6uOi(wDW{19Y<cPiZCC=Y-iH+Odw9B)H_>r{&Rj|nVY_F}-(psM|+
zF?AdByN!&ToChy{z*E5brp8|F+&P*XjA0xn``KJDe~OV$U~CC`{CJ`8!_bf{*r+2%
zwD(7X6a}V+2_nu?)L;HVV&cr)9Gq7O10bNm63Wf+eMhlWA;>kPdKCBS?!Ziq6C)-K
zuVqIM?Pi`Wu<t~!96bSfM1T`bvWs3H$2-H|PXw1xq?E3crzZ&TE`QbX%9W!~WTA^~
zQHpu*UUV5RzLqG>&r}cI`o<Nn^H1RITiyNl{YTHMqq%9HJ;@UR<dGT3#*#R@x{{K<
zHl4U=we*zsAMyDTt?|Xm=7FO${FDo0eM4jQ5ee6~*4;mg4D@TMSX*18w~PAaBAhUI
z;DA%0a{{o4cQ=Y+nV4dTDWb#*R%nh-d*q%0Uw~Zw^gSxOMPV<4mH>c6{0oN#Gxc;G
zXdH3k#mC|kLgOFiI1vQYKo-uZgpYNVsWk{{N}|rXk&PW`<e-GCSl>cL2Hijb3{om`
zweKp;+E<$Xa`)fr&7s{oMgor$BABA;aDx-0I}aaD*x=A@uKTUmyP!36*X|kycbZ)(
zvNQ=ka@71M%tp?xy`$K<vjmKD_Axi>(CC6-C;3jOtY%WCeqAk&{`c`b+kh($G9)x(
z-lYu?tyz95+ak`=0?&sxnD8bk8xRlBr{?7yakx6;OUl8tD9xadvqjx(9LAC^E+k}!
zcdPp3V|v8jo43SEpgb7v_7%yEsb9z!L8JgV8QG=@dw$JSnen0&dWRAoK2$Kb!y;Z&
zfj<(iDX@+>4~Tuaoz4&;U@Xj<ksKqG)*=?GU0jHf62+zfaiKNRltp2fn(i9}1dlGK
z{!_9<ilJpECFTBI)MV8#x-<;qrNOOHJ={JQD9;5yHZD^n34<l#J@QynfQpuupT-ZO
z8f>QYyI#CELx=`a{ngK$fwT$CIT90_#+ka7x{C}#j7X&)?IL)0T>iVVf?n3dgNnrk
zZzHMCd_Dw*6MyfJKi!;8w0J}M$~|4d9_s%FQeTQO6v7aA-hht5k7Vus{@362%Jp&L
z6X1U9M0}T??6i~M`Oc6CpSr>;K)n%ue2~HDidoL{{QM{x7nE8uWkjs*@KaY#w`OzX
z*^`&ivWjC4>qp{@=#{ritwT~Ia>;>~kG4GirnuZU&hBb7de-hVI&u}#3IKUs-Q5W4
z&(D~v!*~CwxmggQLzI+LDPb}QSt~Bq%hJV91k*L#vZuC-l9QAFN8<#wZ1fqWbKBen
z9vj~%QYJ%WBIJnIZEdN3Ls9kkIAx)iPD9Qtvx_B5#p={y*%UdH3nnbH=C3Yw_4HI?
z!Z66{?&EOfeLqZX!%p)(^>w;Cl5mK`JPHH|NWNE1)r1XCZfg%fU~AvWcUoLfoWg(u
zsU$lao4RDfs3U@<N-UdVAiK3)r)TvodnZD}I$UOUKw`h&Yd!*({-fYV#P^68zxzFU
z{;?#bY|qdke4v%IgcxDt<Lm5VqI!Y<KeD9<A;_p+?XxX>Z<galVvqJa#OUq(8myQ9
zx}abw$#v-9;lpD$#SYWtkJ0fdTt9)@O<vM3Q)#L{PekqU5<dND<p3)NFx)@P9<2^8
zT*?BB=Mp4^xVhi=^dQ7Lg8jrF7!OU~TGJnN+$gO!&n4Tbx3an#4m04>r?+*yxv&5c
z{~;%*%}f;S@i>;&{{9_YJ;H&Q<BE!*_V$Gs_p!}p{Qsf4?i9C!yifUxwsr^ItPxgH
z9MzGLk-Q1Rj+1D2YHk*131d_u_G25(i$LLAQnC-cBtk{LIv%1K;zO(`G7cU*p!1i1
z(ryhnAFVb(3l4^&2AV$PG)5u#v>wagUp&`Nm*>KnC(2BP23BPQ!>&6gF096I$XvX$
zynMU<JCfW7eoa3Un8F5SNnI?m=eAF0<0YSfJhJ<oa<T^wSU!-2RvMY7%KIbR_^#aH
zye*SDed^}*HB4y0I)I!gKg%uadQfVQVIKM=tL`6}yS;8v)l=s1uxI$npWEXmGlYg6
zT-ZNHlQl4V(~$*?V!w>he%r-gjMp9BA&Za6H|TZW&i^ziTX(Q_Mw*S*)(L1>ny|0k
zF3Yj?qq5;+**ZrW+f+V!#H^@t)$-U8RDl}_FTYbi$Lr1Z4~v}hhkZ$oRFJ9Z%a;@A
zm9RL1<Kzp<2`eQMTKIlgI8XsE07nVL1`QOxC!Vun=tlGpbb96GgUB<p5i`EIhG850
z$K+&hdpn6=ixp~#^2<~tt#6qfyB&ZOBVvj5>9w({guB$+Q+6@!a8+pz4JhU5pw!gX
zJ_3<&!uK6>zFhbQ5yk@-)6sgf;WN$WPiqVCDUXh(BlGOyZ4B#t2M(ZVH1sLxQXGkB
z&q#=7?_d%y^e4LxeIdFZWEvk?qwW=tlkAZr4--+{W{Be%`q2K<a>vMjZtOlj<vIV$
z#kw>H#_-YaXVGv7s$N4Vo^<cXbSRfdjsUZUbWB8j(UWv)EJ@JF{IUCWyn4QV%-2V}
z^?&4>^W@dm;uu=DLCwe$X&wIpk|v*#DiZS^0**dD^~c2D{r&JG>-ZsPoE1`4Dc;AP
zKjmymc_o5`bMuZ+ur=W*d4u&4Z}DERHri2*r)N$nzPH)8NFVVD09hRM;i8=uZ|r@^
z_vnAJ%12H~pu#AUsMH>l`XSWD-25rzhzhBbQ&ZsI5loEkAwbhbWozn`HHK#_Ez{bq
zk<-8uR)>FaccJ*jix+U1fKQP7+d++)P@XphLYSKeXo0_7yr{H^8m=u<bsuRuHX44M
z<I>W_*s(zTXLOlBIr98DQnPpk1&QVhOlVNa;A(1!f;gfZDUR?ArI<X|U!@=NBt-fU
zo=n$;U(l=E%f|xYUQBkj$g!w9Fgsvy`uOo<TEcwo1&ZQdgH!Kv|B%nf(ZaonIi05C
zVu{fvWVi^4{~O{q=ijt!7qHXw{8-YQBX}<`6Ug_d8b~%OgvtjqJ(&2%$m7Ex>xqeB
z;7~l<%0S6cs2M${EpI{Ao`};CeSTa0_gkz)5D15YPhb1Pf681mjH^sYO?rb2c0d#b
zVfd<V%&W1i*(cZZ*eNA4NUDa042+-1Q6fQ*i|#ibc2`#jT=O$-IYJTyM*%Yx4msYv
zA2ijquyMjkVxIe0rV^+NqAn4;0zLr`jG7*|=l|vcsD%I#rR%gbJOEDsUR($V!A@-C
zA0&2_J$eMq98$SpJjPNC*@?g8`1kLzu$}81!cTnM=@?!<26L#6&>e|i8{a=X<(4u!
z9u}6dM%#efd||AfWPM{RllQNe+aa3o+~u#19zJ|sV4EF2BNrD*_nQlU{+v@&E6E)_
zgE=36!#lK_OX4d78BKkHGDQTZJ)1W_6gv!8pd%(yka#{K^r4X%Krwd9Q&Um3m}zQi
z9&drmaKJsi@>y=7I%EEA&ey23hTUYjdbWL=WY+ff#269GM~#(Edtw~?%LzXf-WDo;
z*+Ib805GRR(_V#&N{WofPfYZ`UjrsYaN5P?__1S=dsBf@A-Q4>OCdq#4#jW3cMQ=Q
zs~9_RT4cicNOzD(I)E|rvG4u6n@woy^Srd%O|gm<YCeyuJSG_$Ter!!gw3UF-;*%*
z2Lyj0*DA5!Dru~~`s4|f{?C~iHcZ5ks?83S#oA-RiHVRn5|C=p-Aycrx;s=68K~y(
z)+EXjwmW3|rKyjnmH!+blqKL9e||EyX(Ky~99`0=pCE;SL&CKRPgNA>>dMMGcex+P
zQhY;PTxc}~y+ow^p)V^dGx{gO1Y}2woUciiZd4uqG`xkNXNY2C-E@!D6Z0-X&xCCD
zv@H{=P`LC5S)a)=?j70$+$3qSCI$sI7kxAqpG%2~QJSBBdo9vr`$cjL0gz=#tr-2n
zWpM6grx4pck>oNKvF|wm^R~N>4pB=xj#MG}4p|b7>_OF|NU_6n^)QC07nk)u-hKph
zHHc<923zQ0(glQt`Dlkza}cwEEE!ZSG<)ogP_KVv-8-*o6k&Jm)uZ=ybradX8yQ{c
z3OEb!C3I%I&*^?qOv#^ETeG$!4<Pi$`SR)0Pv74PF9beXi(?D>>OppAoBxxSFM}ED
zj~u<bT5FY0iZl~a(!qf@3zL1lz4uuph?*d12JpGzOqP;z#cR>y%NDzUYkz(oK4COB
z-wzM}nUCHFpqhw)+3kAE&Tf{N;c~=3x6c-bIsS7Xgx?n%Z$7W6@Ih7&-YG2S_@P-*
z+nzqM|Bu`jmdWEu!XL=nNi7CV#5sN_2?z<X8xa7`p&&D^B!*)Y)4K-pFsIUAzPU7f
zKr!;_gy}P%IQLB&ubaD}GQ|oWQ_T(j3hc;qKfND@)@;af@(Nw*PPmy%YV&Z9q&^|r
zI(|D(84IKgp!I6^NIVJpMfOR$8MkuYf7Y6JfpU+rD^)Rq<|F~*4z>WSX>l-YrD+e&
zhXVx-{x=HBBhI2>X?Z|N3y3-B%BQao5H|kpTXFA|YM#fjj>o7kX&g1#V%k?5k48dU
zbd@~GX+V4|LFU+Z=y319JR0B670L6#Ad97B>Q`wWZVRAXI3urLxq0ibH)FP3z()xR
zZ>Pw1ag7(#9pdb0Ntu~RjElRbuM6sXfK4j(T0A4i)%-qu7XcPcCF!CxIflwWTtGa7
zD+7-g5Kv7QwGVs<mUL*7Z=Slxicujh@C|N={1F2^J=K{IgsX9LUw-UalEf{g2j$5>
z4KR2GAQFM{_vOp0TknkUcFQ3&>-EJ90Cn*?{d{}=VPii7n~KEhqxC4uZdh$Q)@Y2^
zUrKIXRaUMGIeY1P7Xnyip;CZy?m-344@BBH_USD?*;Cojt0~A5F{oeH+}w<#s8f9Q
z9~z@$iymzlvWe=ZR8+pU7Dx2e)Ee8q<oC@W#(HzwbPG4qYCZS*SX<XcoI+rgKFC|1
zI2am_I25F$nQk#vmXVAWG}@n!HUEAvM=$eQ=c<+J^J}X($cel1K5hcU&cvGtzL(~@
zXPY-8AWp%=3Wb}iYo!L6mEyijsCdTF-8AmBXtAx_L{8N+pC|OG0G7!tT{PO6o115b
zKe@XAM}G8E0dSz20?)O7IKHl{tEovu3Lf;Vyu8o1z7d-~a7Ta>0Thn01AlYbkd@Wn
zS=ig~8sTL^cGpvZIQ19A(1}xMh{BGD>!C5dSgrbKmhLWji!_fxOD`kB6Z|OW!^)u1
zf#kcEBSKx#h|Zd;bldO?9;B3@zz_&&u2;ZH_5<g=J4vZrWRga{2N@`x$M!CIlmX4^
zSOtLC!IYU+=(#a;z1sut3ao6^aa5l{cpzU20^hzHD=T8srtKsWNp3e-X-w|`1Balq
zMgNhSMDdqzA1zk`-c$UGJKH6$fkyLq^%oFB{93&P%rQCHzNtRBlDlKs=4>v%OW7TA
zDenB!`G`M7Ue>@AnOau*BN9HQ^Q?hMFVO~*>D&9Uf3}{)><rbEftK-we7rkoiR>=x
zHWOuo^BlqESR>3ti{HKD!zhE9fK1`d)-w^$jiViO%~N|*S|h^4iAvl=Cycd4MX~i`
zN=n9A1;*Oi3Lg#bvr7GRO&o3kEJQ7?aY;vK<c#QH?D7I~KJjQ&xkrL)l4_Vs4;Axw
z-k?1A=DaFc8C~6nm1ARLz9QUznEs3KYo{N=956M7O|`AH?O<$EQevW{!;le3xc>er
zJgVqkiE4EIJ*ic0g0ad$zoYd&UOLEU|Dt0tCN>tDdPs5s++%~0Z2?^lbvt^J1Q;!P
zz@Wj=DZKqB>9@&vF_zMNO%QdR&LE87C**u`j+L}J>vTp}GU#8AJv#u4^;B-&g6J9d
z1HN&xfcG#H;LXLk5-=PC7Q`3-4vjzV*XMukRu9_|8&*i;<w}|0qnu3-45kf3|1Ta8
z#=htwN2DB~ch|@`RT>kJAHavlan7M(4CPB^V#^KI;>nmTppU`UCV0ceB^mNcyy`cM
zKU50^J$(hyF_t=%M@6b`PE*v#`~(~fp$Ujo^W0wC(?^fyr>7r0al#WCAl>DMsJ+MM
zldi);Pfv^?N=ccUo%OCh<})}jfQ8_j6V7gT;Ey1mh?(gq0efH?czQoVrr0Khft29y
z1RZ8W&uOhkP{w9t@Whcqj)}aj=*Y-a-3*l)l5WngEe~mDPS|LZ_~FCnV*QJN1u(Rb
z5REAn8@oHTu!U_U_@^ak>Y8qWTqMeqCd>EB&7AU~d8?GqiuxjA(Z{#l`FC2ZO5eQ$
zfnQf&Pg_Yf1<_FS8A}Dx%_XX0CaImN?1i%T)+E2$y04)YELKooA%-<fIZSy`ZfeP*
zxaG2P=>M_HyATzP96l~O3>JXR^Yk(ih}|w;Zo4Xh`seBoYqXcYPD>*t1g&D370)A!
zEdLO8lmY*8eL1gj{A&Pu<0Ue}jcWE*`ahkY8gwkIe_Iq89erzg&=nP11Zx|cRiI}=
z)fJS1Uy+Cdo(|uY5=eG=a_fuJEC-h|Qd39Q|1Kg<<Ha?cL0B#k!bUY7(34R`{bo<(
z3ewqw@s<+@!AtU5k8q%8bO8y(5IB)2bSOGhU19mxFP5halYB&U6;us11_;aw`T3o&
zhTWBGhk6c1>5&o9M78NV0HuCKA%hkmDc`OT{`+2QQ0Q|VuIAi>M+LFA=q-M3?Zlxc
zh@ZbH2HW%JBMh?a9UN#WD7YjHaM$3)13?>o=0N08@;)c*OOSo&X3YBDfF?vX<-C(J
zCJBy+o~|w>zO`NC4eGm$Tpj>jc=`PKdSAss2yd>4G9Nj5w6QikH99(vxc{JVc70B>
zj@C;y#X>tP@=UBZB?tMRZLf}>aybF10(OkbRu!VD7iab*@=TM^9cm+am!IBv$LR1=
z{-WJ1xRxB3S%XD+h3p=O{<q+P&k_=6aJVv2$6tI6dm^L;KbLw;IW4R@gp&PFYccNp
zi9kE1d*jp7hWHi@434|SHjgnxHP(zfDeaFOpP?oYgXO$da?m`g%B!o<fwu-Y2*x0M
zy1f3EPn~-2IF*IS>NCQzI8%YOFQtg=#%p72jK?{o7!`k4&S`x~K>!%;5F|{_%%~q3
zfhYg**{eIZ-$tr3R6@|2J|u6WUhX>tmIuK~Y1GD+Vcq$s)}4R;qNjcvh|35HyZ-t4
zxk?knaGHEtnbKGHW`)TKkJj*r(mf$8A@(*lAK#pQ5F1^PC;7QZfs2lA-wGM98skbI
zZzZL`{F8W4KWjnCmPuk5vA?tful*lLP7F294}Py#>--Ja5?CCJNbWMpSg6niCgkf6
z7<kA0N8_GXrrRZVWe*0F_KZQ~X+=WicP7nzyJ%1X$-j3FrpcvM$c7-d#@U2tjUcWO
zC1(|0xEX0CvfVw^;7t@v>lGDvDDmOp(Sa2k|H!C>(*!+>-_+=={vTD}9gcP1|9vW}
z5Fvz6M##?0mX(nR3E7oRRAxp(k&wy?nI+jtk`O|YL?jXsDH+-Od7a(Q@A=)2KknnW
zuKT!()A#%Nyx*^>Z*jq!G@2}Xhp1~qX&|IQ2bd*YO19X8j!-bfBu=SY(h;DwOMCbe
z+b6OJuqvP=OMo$olJn(dT0V`i4h<*8SF$%V-Y*0~kiIRHOI*CuIWp4ma@C+GvVp%n
zbF+Y}?<|W8V)((rKy#_SMS8aPQ-RXPei4xZ;no3%s4NgSST=QasZOJA0zpF%&fpMR
z34A4Y8FLv@J~UQc?;Qvdh4jBL^e3-+5oFet=7;lWAuQH5MGhuwP|jaSHbyP5^UHJu
zLyd7@$1Q9ZoboG~CJqvP0Dh0PGR-LxWr{sLU{R5M51sPgV$2PvP9-9_|IZ(=yZ~qj
z<U4d&smXUm+DrK{rndJW%&I26{T$FaNmd+tpIxPQzb;52pLENmCgAUFdW0#gmr9?w
zknk~?&E4J)>ZTJ(rqFSN*uq%<=n+5uu!VFzk-#=y9^qfmQbD&2Xs-VVz+$9-L5W1i
zz|b{5f=3y@{Yy{l4T`x(b&hc}h2Jogo#7iR)~GP{M<*$?`f(;elY#Evj-;DbzSegk
zaa`etvF#5T{(O&t659s6uF7%!6FrZtp>xGG2G<4;Jt&OZf=P|Pt_88?ROt#aflb{@
zO<va1*9Y0sXP7;=0!2}<nUv%U{mJ@zAhgv5mvfO$3?oH_`5*ZDj0K@fL%9si!4KXj
zr=6Vza*pAH4LYfe3M@!?q(GfC_9E|MH$A<?hkS^rMEUuV^bh1fof&<OsKgUuMolfo
z_Y67jJj~+3Q=zs;8t^N^*a<Pr{P$CztLZQIZt7h=zrT=xR}x{s?2c5xwI%gC46e1L
zu<jWRpD2~Re;(<g9}%%1`MCg9I=CD=Xoqi=Ua2M>YRFLO($>>sA4uoDs{@x5pgv!P
zbTc91Gf}-i7=a=nlY)IF*VqD!a)PNBUk{MJtfqnq?ioaqkd1FHm<rdbC+j`)n>+WH
zjStp$P6b~vDXE1U2h+Juv0rfDi#$DTYey+7gbKgxPRGmfkBuMK&+!}<8({e_5A=*Y
zPFVy`E+R!WVMsQ*3Bha-DZhsg^Ez9dGnwc%@tx>loc>br8(~yqvgiaO5<pm2QD;Bb
zWIJ$|nxuI8ys|uH_KwCMo?^|OV&lIAIVg(1#ylK9vneA^DsK=vO0fp)dC$(K&nE(x
zBwUMMCcYuHY1^s3`hBBj9-2-Fz8<l?7d|}iNgbaDn1q-rX=1`VWQ#bS@T*yI2kWPV
zR&lU^3`B1s$MKz9-oY)L_kJaw<+-|!3Q8Ajh(VkPd%)3)FQ5Wo6GG$|b|qgM{Pc+o
z#i*!CVVfGhUWa>+1oIKl<>rw~7cY8N4eWm-ivb=~DK>@-_R}&dpv#U`py1Y4Is+cJ
z@|ac$wfTe4`=g#MbwICW8WF#M8W45}#pD5^8Ve=VY}66BE~Bz=8J>OD<|v8T0AxAT
zkeMeOC&(Z0zjc+I2s`b;9Sq<*tlmbF73#$MX=yHd9y2706?(V}v*>+}-$ej##@RPl
zS2uHh2v-yE-LT4uVt$;O`{XZU6?tv+3%v#_ZPuF-wy#arUaB9ELyeTJEoLS}azh=4
zc_dB2Pa^pzB8van{RUqS4q72W0dkcOj^luq2<d6TCL0pmPa7Vu&CYzg@OSjsfe<8h
zAxVYm59l&d^HDQ>>iSKY&5WA4o3W4e`j;=|9Xvcy6URaS@zDPL7wOca`1!B${}QCS
zdd9NpYV|WRQ`OUV6Du+g2xc9)`jMVqn|DXf(vemNBff;>cRVLM)`mlEwa=;XXZ=p!
zq6iwDmpl1>ZlL#ywG2~DgmdX~OFVZa(iHAazo!ZRH>&wV(2rnbqQUSNK0_k;*{#)e
zh2wIiK-2+Pm+>e|-Zq+mH^;8$JPqOnpzp&4h*t|@x)?o?OnyNDfeHMmcvy1gOcA9C
z?5eoWL>6W=3?NYK0Yx44_6B5u*~lor8^5J|W5mq36z0gX6Q6r<5vVZ)?w9=*r|z7;
z08}wB3*gwtLoj#h8k@MQ1=5=@T$o)Md*8o#i}{|NrsQ*WNuOcmW)a`aZ_wi`E}AO%
zk^H?wU2d$XnKTq_9o5;@b$C%%$G|`tDM0ovzqiX1Z)*wCo{8Cx>DdLR8Q+)0p1l4u
zd<lQ>uHkzgqe5ILvI7reAqlHThxl&7v{K-)jRPh8Fa2q~3Jm*t(lRoXqcSxB&LU*#
ziLv0u*O@w3^)>qwVTVmVCxqgd$C^T{<U+?vo>SD-iddHDZP8?5B={8P<uH8PKR-%M
zeTwG4F6s4jXn}ck?>U@3OF}m@B%~Jm+6?eLRJsWXBj6Q)C49TF;~w98e{R-X!VDt3
zAgB?c*pXRMsd`ENOF#fI+q1Dz9lsceOSJ}@-%BN4lT3M|)jT^)3`l|XuP{G<WwN|O
zfqi(4pk<-Q9{c0ukc+f1k07mvA!NaLqu80AZT+~tdiHzg%5pACQ_K|{tW5IamWQ#}
z7Z=C2{QxnP@}1S;Z!MP5)zwvkPv8pUHqo)agUL}9mEQ*|4g0^WLiY!O{pC^d;%D9O
z6yB;_W#l=onj@Os`SV|8xL&w56e>{l@-S4@)Zk;sRB9Ka)^!ogtfk07!*pdeUJCAz
zucT0z5O6sbnzG@xkf`$IL2}aPqZ(RT*5iE@=E659Pz-o7hEIHEe})5aHF0x^O(#U<
z%dFhF9Sp_*cp&tb)ztyWJ;n$LSF=v;>!x1@DS7R+d@#`=%nzO;J9yVL4DkvR#c$A*
z>|vPGf6S)eg<da4Q7iN(K*^G^N&3zGrO-BavG3s>hP;~CSouqpvD!d}!p_1X)-=^*
zC%&@#8D-})0MjMKh317pXnjE{MwRQkD6Ko3<mB-tp}#Ko0gyTruMIL%r)!=VlLrPN
z;Yt-dlK8L`;|mEWh`sru&>Rj9XLH10HDb^?m&wOp(shOF$0lw&<eU+t-_`1E9Jo&U
zIgs|A$I)}=#^6*x-gOc3qX`lL`WxWcuZD#MXYUjPcnAIM1zGk&Q>dVA4Sm>G=2}K(
zsj=?bz`2{l-h*(@wl<fW%zHUGzhMplUy1a<y?f=nw&TeLJ^xQf#sT3)m8F%5iB#D(
zkDHKM#Yq$cf{DM|1s(v>7^D0<W<!uNSuoTQz}}#)4WUHX)EI6QARj_ny2tX3eW@Al
zats^Yg$W9(SWvYEKS^-||A(3v1x?*iO$Fb`qPN9H@Bb5?P-K2-8p<}UzO?2Mk`pdZ
z+#j%R3psSIX<}h@b2CUJ5qD0<xpL6r6Yy1M6#dfezb<!y@~?XFw&wTQN6DF@7XTOd
z`^9{SBq893f;grOJVs^Hz682oG@s~hWoW5>tpmh`F9^P|lRlE+GcU_^Ff@~+NqwaP
zm7NsH&AbUP)&}{;?{75~T`H+cvX(teUT|)xNca)nAzZ1`FMf*vhQK-bk&h?BO!m0O
zp{M=;SdzB5{@wbrOaTP)h=TuCdInLzN(Kl7*@NgOvNALK`RC@Td-hfe&)KP+X6;Ef
zH>HRohwq&k>2+6mZr&sWW<&?=;g9<0D5=|3vce&2trw?gbnU#d298!tHn`Pi=iWYz
zF}r`2i?)S)Mt8^KFDi!Jc&0c(m%sidt+2it6<$u@f3%&LF%I)JA}J*X)gEbNzVWI0
z@RMW+-^LU;M2WL+rP$_E@sr7U4yhnNUmyo6cB09%%wb1s3_`z&@r~s(ovXTtbnhk0
zP`Wjd8h7_@1rkURqi3u2YV3Ke3K!R1zvn-L5O{!uEdjTLj&Y)JtkUK2qesNz5>+n+
z{E4s)`6+PhAjHr!RXK?<U9XiwK_GMu?dMQAgVSC|i_RObJ;ECB@;rQ)Yszx!C^T>R
z);FV~ByvAu`M;gV&AzKS#d{*-F2tfArJAn+roeEhU$y@K_&ea=k00wGH%9&{;$h3q
zQkBk?m4}v7rg=d(PGndiHAN*#v$lgLqhre0+)57F17vurWg<8piZ(=b%mZ6?zp`hk
z<Mlg7c)Yr9861D`bnmv%AsqKFzsK)o**p&c7wllOaI!(_<RHd^U^}?nFhF6|F8qTC
z5KJ~2qFp!$rDS9xeTTCbC~JQ5>31#vWt6@Wir`8LGBQ+cqmU=0;q{CD66Yg<mJfP{
z6762D?88T}xzZ5~Aw_|Gt1lOwVnd%!4MQXug~cN&^wHrU7+pH=e)UI87dIEZ%7J)<
z(GY#Um|MnNaFBEQjmH1>5N;irg@X3FiI4~@y$;W9P}p#`mBt=Ini>JVgpd#d_Kt#$
zyMP+7a^Wn*1_c2Cpl9yN8(<-R{)C?hs^pE04I%{<6qJ2OCgwOmH!~sZv^!~OnRkXa
z^q?h0H`nN6UnLTl3kur4UTOTWmjEN69&1Sa9Ra3jjcX0@XTKr35;zFUZ|oBDOG~u7
zcELwEzp!woV;MbtBZZZNN8tGaY6$gjTn{WwoXpIXDAhW&>qM&pZ#jF1NNLHvy!g{W
zPKTpGNNoYG0q5ax9U#8K*|&EzqM2%D->~8LaRFUAv@3~jaH#tH`Em)YIR3xfygaL*
zBmQs>BOpYIy1LhTmA<f+MtO8(c54WY^IQ#Ixqgo&I^6Z+y{E?qO$%b;E_!((6fzLY
z@Rchyk=#mV0T=*CpO1vq+I6zYqG1chDA4e*LRM~FQ#3G3vU1znLAafe5LxpA=w0cO
zuDuNl_au&}t-;>^A<pY&lpC?zpnZB1_b|>NAFR9Bx?P#lYZ-iUt$z;G*>b<7^&Xi$
zBl5z36=PEBkxNGuKOVG{zH;Q-%}dn}I!Wr%@_nb{+wyEP2a}k>J>Ea4(pc|4X@JeD
z;+ao|i<;)%zs?`BL(uUD3k8BU(Xj(O3e-~0dC&WYvNRdFKV2RQ7bTQ%fRW2LP65=)
zezjkO_Acj<=pX$vbEhvZZ4WUo6hW{}&^j@UqvG!?6bQ)9Ob2gO<5eXakv&D}8z=A-
zPywc1Vsa*Q>d?U<O8A|lf<*7@satB@7ay4G0q3`vj1Hm!MMSsImcxR3KJEDVGEF=H
z1_lN)y;!`yK*NBa5{R3&p)oFLq%>j?f(Xm4L-^U3SFN}i!C7*|%4pg~3_BBj%s{At
znmI~>^|CiqgzOe+V4aS7`ua6?hpIbKN_r%CQ-Rpi_g9V-%AOl*oFO1+pkewg*A&c*
zJN{tWC%xxYRr(NEI@~*=K_s(t?24<a`;9A*1Z^GgrvlU=!RO@?<+GwU4V5;36iEHK
zYME%-_u*N<d(tC<tp@O4BZL#p&1<WxM`UGD$q2?4^}JAuATlW5_{)cGbF)Z~_d{(b
zmn%q(<o+W$l@%IohO;6IpBM0DA|o0QAWvrQ5Jpl_l$UpIday?DuAsE^Wrrys1wD;n
z$c^eyTGQjHt7jI~Ez9I@Bvs*8Iky*s0vuvyj2pA$1Ii4G&j@utY+lO_i0{yf>g1U!
zFD*rm2HS|P?4@6K)H0JYNJVwUJ%4aL+aN?WS-lDbudd`d6r!2!=Uf_|73h_gaaKj{
zIzk_yL;i8C`k_tG0kxN06Gu~XM3F&(Yy=P+tVUPyN`T7b=H`Zp2M_(8on+9?u*Tri
z!;1*|7iFn;1kISD&%QF{qJwoGQkD9+dyM~+3!tH?i8tOd^>F4tIp;JWvZ<+E)YR;!
zHKB-t@gLIVwY4>*|Nrpv!?7e)Y59F_Mer_6RR+bqYs=I!B#bxIp>={X?d#Vw`NqzY
zDTeA?DS5o~JMwq%sXc&r%aL|yY)sQKT8cFWEQWcZDX#DL?{fyHzF1KbZYN@#pOl|^
zZjYJ>-FrgGK;_K_s_;8CNLT0^$e;DmYP^1-{rukLF>0KeQ?*;0@g5ZVUFgu=!aRYh
zJSt6tgC(bbo}}*S?gp93Cm`SiOE@+^IC*gLIwbv>xOSn4rCaUGS6n6s@9F@d($^9Z
z5Lm%L{PO<H29@Va%XsRgaP5$HUT{o@hLSML3srvXowQ^KQi{eIfuJ}bj(|dgklznj
zRe+zr<?Y)eh~G!Is~+E48~eKw<K*c-HyOtFPxWYNYT`r2+F7Rg<o79ioyPFf9E6(P
z9+S<3LX@OeK@|lih4bxJFZLbZ%Tly6Z`)0XHvWALkIlkH4CP${))Cd~*SI`C^SebD
z-x^oea-*=a@H_T>=j>|+s@bJtaVS+W1TF<hGj-d3x=0$Jn)#-fcliK=xgvkm_mYWI
z_bg;j<#3wnH61+o6Wcsui>ol{J$Ztp00d!US4`GhL>WMmo>R-@tVclI`1i}@Np7d9
zHp>`}D1vwx26N3ydFidFd}pYo>t~u2%~jF?MKY!LKMlXzC<Tdp1o)r@#`se2nO@Ig
z=$bZx5|^L$b=}WVMYc<g@W=^n`1)3(AIe)R9WsNyVaqg{rz_o}7aL+%#QNy1XpwZ#
zWEbD<YP77eY5$m<;f6Xkj|Tt8K<WgypdZ472+WuO33H3d#_qSZb!J?fZ>V?e!Y{&z
zQ6oh=#&Ay&#G$rQ(aDqc&5n{t3E1|4Ur<giIk3+u1)P=8jx}t~mchI0f_KAr#K$Z^
z?>YbXua2%R8}H~Bpa51@?vkv>%0&p6qPTzcW+sZ{CeKwpcaiwMt#n2TPtrN?;tlH+
z2<rgvj<5E$KAd|1mg&b2!8BTBdAw^L@@|wUq#|DI>sL217Q~C;D694Q@ph|%&yAYe
z{yda=s51jLIAU4qw0G<c5ZBmk*7sj8hT*aji*2rk8!Y0FRMcWZMh2}-Q+JzQroMt0
zm3%O{Ky%f3!Lde~Z*`wIJibQ$=vR4c@@82Oq(PJ2Y~sT>ItSZ7G7mEkb4f_tzjFst
z6~MZ0jz9l=`m>pw?|$K954*l9Z%>^j*|OXBCECZfi}`b6q2C&o62I|%MgbQ!T81LC
z9w7%RVU#;w8%Kw}FzvCE{4SnVmYF9W8RhFa9sNg}LoK-!@%a_jJB$<9H_Xjb;%qV{
z-eXql=qLt7?5hn)l8m%8IoatKz4rKSP_JH5RVAmO5ICyHj=S33y~vVi-~n4yTl*~~
zXLNcR=?z~#ecA&>J%<6x!yFx3Ugq;a-4U@YvyIEd4jNp1-fEd2`ukG@S&LivIffWD
z&X_P*L%xc!0#Txh8#`7_o(D6@3K2d`l>R>DDn}py+s|lf{tfvd@*z5Ghi997J(=#S
z6HW|VKed!uQnZBHP~YE$m1xVx*^+Nskf1iRT62Aof>6k@=3TOK2$)Z_dKN-@6Sm*Z
ze1EiDc<H#6B7+C#HT45<JMhMk=d*L%Vv?3OA|>FOgFu{EQSK<IrexGGY!l5V@LtO4
z`my|JPwN}H*H(rs835eD#K3`(7R>LJi+Voa6_|J$I`(|GS~tGVC-B*I5s%LelZX}h
z0|~7~E8AP^Y-s-5jBsont{_0}q-3kf{j)#Uscb2^W3Kf1PUr@DZQGpk9lfX9FRJ(E
zTP@rcSK!|s4BpyU|FXIMMHj-+6iESIga+^ticBXh&Z&<iFmUC`;F#fQ`(z_F32EBF
zgA^f=+-fxsdLBG!awL^J@??#UlfC{9<xG`q@3oUZ#6F@uhr6o{qSRfHCyk3ee%H&M
zBE-!P_Zg^m`Ob<wsb2V)&&)IIxqEX}34;h7+BO!Ch)L|g>b(q+JjvuT)s$GlWy-nw
z^n)c+N7;o=5QpKM%R1TR{!dl+5#nUy>urEC!*)Gy`ilt-8|H=gu3P2kQ#x&&HJ1ol
zUq-52{BSCg9K+RAA1fLQnjmbh(-C6urKP2Vd*p5s7Hd_|blU0o6qX;syBLM-S4ba!
z`UU7aDobclq6%xBpf+;>yx0l%kUyZ$9t6l*j3QlGJZJp0w|9BIDzknU{xc$4&AW&^
z6rZU9xs<$PY+^92;%`T?14rH152pKX-vroixcPc3qZoPjo;}bI!3+bh4p27D6o2^I
zaZ%sZX+jk{<oMjYRVDDfD4<>2-siZz%`zvkX$5Bh$&~E#iI2})K5-Zbse4hHu2Uhg
zUC+RPbIm@nWd}pyP3z~bJftIzI|xFhMt|gZw-qh^1ST^vvDc}|H69o@U{6=;XG+5C
zK2}zLPIrgM)NT(U@(R3gQv<~fkce~5_gyP+{Ygy_lV|dH^5UIFT|}fCt;#@j*WI_M
zK!P*wYqll5h9Lj~gtp*&A`jaSWa5!Ewh7#pIb5xQ>taUM`*WX4>O&xMV9@e8HCrmy
zu0a)pQ%uo!;lo{Dp2hHoXDd1_>-)$E$OV9EXl%exi*XhnBJF%9p}5X7kPB*PH02yi
zh$zGqjN2F?ZrEcmEZ~6XNq>f_w%*=KMABUR?U>^3=2ju=yEr$;y%g7EccaM;8bsX0
zRhC6v69@r>{jgZ}UUg{AH!SP7_Q{j0JZ#ntn0>F>NKvnyowM6(4?!<Q(rGk}1jFUh
zpMEVv-(X>;q$(XAQrj)>=N|IM?=A%c`$01na%JrJU-eNAHqjxSbk9lgdS>0hM!*pg
za6K6bYn83q6&lZ9kh}i3AzAQRcsTlFl(ytH%Q>F3O*gh0tp_q$ipap_htmXUhCUDN
z=l)V1^Cjq{mbx>u%FkwGn>pq7m3q-V|GbDk+$lti3|6?DDmQyMH?G?c{6!hTNMN8x
z4WhF28tA*kLPCehUq8M3ziE+sSz_Lx-83q1g8ANXepBLY&(n;!$s=7zhOCtzSYL8t
zmZ2b^7Yxo@I757gLMiAO7{abzB?^3@oda<5E=7te<b!`+o;HEN+J3e@ALe7gmG&Od
zw3|^`m9y=d?EX76Jgh$?^G6A~)URpHyjOL&6N<1K%jYvt`yCkG0ci~+?`b3k>*H4^
z=R3uzol70RpZ&#b8+3rff-)tK7@1W1jbB0-zLt}yV$TveS*zzWxe#F6Ktu+_ceEC<
z`z291oFWhs+u-H=4XMr6YHzL5{D-4ZP^}T$3dqSdYw1tEdaS~Q4>Io&sX&Uj93NWC
zzIwF@i;IgheLZu%-5jzZtKyEgZvnU9%EogJ`}V`Gs^`ydPO{Bb*Ub~w{(Sho0BrmD
z=f1NyHO+DcTL7PRb{a+fP1^5voG`Ppo|ME=hR-X7nt(^LxXXIBmMpt737<z%5DDxy
z5T=&q1$9cIUeVadXdA*^eqMyDsTuG&On<o9cKRmmwqLQV<lUx%K^PWo?3l=)6naL?
zke2uRo1>G9Z;DYv;I7VJZdkg&^J8b)yAT~}I~j<oTEd{&+5Lwc|B^mQA<6Fag`%}U
ze}P5gkXYg0vX3)&vW6x|38&b-l4j=TAui?BA1VFnyRIy2d2QW%v}cIZ+I~Vgv&RNL
z{=6@FI0Qh%O?%C1jLnRU_I}U!c4m3&WVG;8E;~bC=iLNwmp8o>8w=tZhB3BM)6n2Y
zz%m3oHZtLsp)Um3yw^`Ta^eu2(g>hfSco_0?-Jb~-2^DUc6c8RJRRB-ZlLK)NW?-V
zoyk7*^o)T-{N#L0?PG=NuQhCk@4^+gX&55Vnt*gS4MQ9}d>tY2aao+DW|Nro-JMV!
z(Il+DvnVx{EwW*EbQ6FPXxV^OgD=45GC%ZO`e19pcQ{DU!Fnj~dqT5VJ#!h!eSQti
zy`zt*E+qi*aF{uK6L`IgWJ=X+V!k!02%E*Juy!?2;HIWbA(d0LIYG(SX<t9yi@0x8
z&<X92^$J^ve=<lQR1SDWYxAt;vMjl29UTuh2{T_`6XW=@gF6O<0?K_|aaMJzzuXw&
zU7%9YBP@DcE2otD!~7+c#{NX~eP@E$o*trb9#1K;tpU8#jn+}*&Vv&?XH*-}`R$uW
zDd+y}4GVR~|0N%$-bqCT-tEd6A)kU2hDd?kEk%vR<DR{vXw7;-2wBd>w*3xylPGQ+
z3y4p4bE9zlqUN|=<t_{1UBWG1`c{lB&s_r-B)_*)OI!Xao!eb<dU=sr|G;Y~=|Pq7
z@tsS`Zv*>r68a*GuIiaf>wk9L=O+t^JZBN~so=cbnkr<e5Wf~kRPHC|o?{R$zEpbj
zt*^tqE~KA#c9v$DZ2s9Rl&XMoiYUVq6dbWjnAp1{+p~s-ukYXI9}oaFby8Yd&4m$7
z7in(31T<jiZez;h<wM>KUJPyR>lKz?K>y?#0nA3`ix0ZCq2+|8F(pOE5RDXvHpPBe
z+X&VL=^`^4Ae#V9pitqyJ372h?|ssKSmzA2cK?WO7*1lkO$)c++Sc{1TZkd|9=mBQ
z$Xk)>fY!+8#~7bJ*L8OnDb<x=jRDdR%bb+d-G<?~7jzUBo`ven$JWmjd@^@gMcoHJ
zZ=m~xgp56elsrh*5ThumsU-pQUk!2`7-$nHPZq8_52jy@jm>`X!hiCIC@vpD6su=J
zZs+y->)y<JqIT`QswnJwwCm^O_K<>AO@xXgXm=XTD*cBeJUT4Rj~jLuR=y{;I6K`)
zP3^}K270At_OOGA%?cyw^P^v4kA^QFm{VI}PK-$+v>nu;CfCRWZOUk%0D~5MSwT;(
zQ%oWk<H+j5Nk(4Ao%pw{VVVV>ZnGlAatjQp7e4{P6t#xM*$_tR^4x}|84JeobOpPM
zl*n#_5fKD^S)VH$E+0RBN1A)7<zy5%Cxq$1z6IPBKE)UXL+Dl1GCeO{BGUZ@1<|*j
zb<6F<Kf*8r86M^vtkbZk)z;P`yk=CGerLEt8$JxARiw#z!v_T11yU*aHt~gTQ8)J^
zuHLYEm_{@WzZNn4>)><ph(2|%;XS$cNasMf{|^40BQ@gh_e5JY_xS_(HuU#jExB@|
zYeah?dg%An=PHa+I7H8c$iI&CF{`dC+_C)gbGX2E0$4D}YhSXqDQ^>`(MeS`G)9m$
zo+h-~_?H>`l`$%buykj65F98Gkpm_GDn9<5qJw8`{eMhclbV|u3kqDO%G08;uKp9y
zVnRtnBef-4YWC#kPseDFjgn%HWEY@V3@+;A5o}~9N&Yw3{4k`}WMaI3ugYy|=V@(M
zG3n3cway?9F+4B?`vzvLv@6T`A6}cMkz}NihCF|+8zXQ$LkSz*z2mR+HY8@>dd<i}
zk49AC!g(eK_A`Dz8}10eRerv{cPfVleNJ@kBG{Vd<rOWW58ku@@O+O|leS|DG-n}X
z9^!M{+gVsy4{Rt%2StcV*yiYK)m5G^+1w(i6nrY<_up`nt=z{u{lNJkBFzOxI<a*@
zg1<OFPc1JIzenGk+3BRJVYk?V3$&1+#E|n^!E_jJNlptN)SF;Ojq;7b!#{kOuxxn#
z{6P)FV0Mz5`GmC?xCnUO9(~c3;4pK@$lP3~>muskFELT#Os3B`ir|NnwfDe5{4IsZ
zdW(B3@<<v{(*g1*i@z&UK}5uzalr-u1&9sgS2YZ?P?M+RVbW_|Vh$-NI273sFCcEi
zTl9H=%<^V>ESiP)Df$}=F?q|f$7}N>w&^Q#W6Uf+*KXG>3f?9BX}VWA=akdA@6Lxx
z2?&(hUB~>8YoAsBc0$H^HNn~kuKQXl0<XREn&*c|I>@Au7^$SGNxt`z?9Sn7auEuG
zV+zM<JtAa;Knz^%N6%lFme&sE@Oc$(aJ){X9BLe~7hlc`k2ehtrmyP;p4Q(%G>0mj
ze1Zx#W;(i|U%zy^nag-2B)k9;p|uGvR*8ITVnEKBRWc1j0Er45kQJqU4vD?S6OJMn
zT%OyA&IHAGMWIlIN~a1lMQaVRGeu*2jfx&A04iztUd{cwTISHKuS0+fvjO`Ss64CU
z3~_sMr*nLFbubQ`7Ba<&q|M{y<3k}PDd}Ku@4a1-wtfHGu5QZDXC|xm4BhH0P1@sK
z&vzy0dv1G#>YJ4wp@H^Oa;Gz>;!N^HA$k-HF*vSf*Q)Nhrb_LMKtWPqnh;<UGtSZ#
zEx72OE~({_>L0BOqoHMu8G{<lyimHO!D~)==xW{N7xdO=&j`w%q_*o~ULImD>6?Vs
z=-V$1>su3r;s&a08y0WsJZb*hUfdp{*Wp^&zvs3|*cYncbNB3*3~&FDe{J#MCStnx
z)p-YazFH~!aYQkFlci$c%-_FJF)<ssP`2QCfxkw#F+cd;-ABdcl(VWZDgsKrS4kj1
zfaZ!(5CIkr<hP=Ombk?~o}eLNE}UtmoY+J1Ah-XQwEh_a7crlw6FotaM_kvb6VjVr
z(3Wm)#VxXPY|(bJ#yKu5)((Z|CXRiaRb5_`dv^;bA6MENz2`_bWDI>bo{NJJ_6>Yx
z*FJ(a9Ymsshe3*5Y2PFueum;IoVqnuNPcj(x6e0NnkG3(vdD&ZQ6!zf*9?ZMy!`ME
z?U-9296UULTI4i+l{zdbsqUHvzg4R!K#;qM)}DWEL`ScM$$D<)VZ=gC8;n^g_i3?p
z1HR;s+3~|`1?M@;Qi*M!elIX;AhNKrxjA*42_O|=Vg2(VeitI-tk06v5ed~IiAqIM
zxOP-TZgz~ry_hibW8u{~@`x=(xVQ)x-xjhyxDgN%{qa4^4x~Hl=@~yN{p<GhOuF#g
zQ6;Od6a>gCWFi|@7O8JB(tN8a;Oq$AMerUsf4ouo8tw3@9<Ta3J9mrk`nEx{XL`R6
z)#I%g8B^63EilwrZ<SmVp>CQ&4j?kDu$ExPhQg%w&$E7_tO_-q*zM9tcxmo+n4F+U
zi2#CHrSg4Z;u!fs@KNf6)pk2}YZ&77fe;f67dA)$cSr|#kMn{Uk`G58vUKn2pc%Ji
z5mL}&$4s4r-RW@n@N5*oP;#-JJ)*EsxK#|{GF}%i8s{U~-lX@k2;vs#>9^I53cDWn
z^b|{MyW8pjNE=q=l+yjsw-E3e-qq1>I*Qqoi6S>|J|D(7^g`fAiBivkplx+^6&(BQ
z$~wd>F`7r|t>JC!b6xbXeH5_&bi4m+^3xj9+;M+VrV`wAL8-K!@Zrl9fm%0~m^6Zo
z;B6{eS_3`3$y3AWZjb&vf13P0WS{cz1~**aJZ`rpFSQ9*#u?VXV`29ri>dxlLUqu(
z;i)!(&TMIn(Q@+p`uxG`!SrpF!;3O>OQcG2Bq(=x|9T|L-`rt7UOGM|S=xqLhW*X9
z`2T>up`pX)RGwxzmwuvo+)t?cwCk+!=Zr9eTSq+_Z}V1Ckeg48Q4^AYM#8ZUDkrP=
zLa)QSsL&SjPj-RnH(u<*AqaV-GC*TM@PVT8zssU)XgvK&8nVQ9Wpr4hNft6SVp<_s
zF^1gd9ueW$KTMD2Rx#@BmB+n}I)LB34`*8}sieG3-1wacsqKSR-VgmOj}A~>m=529
zXi`&CGyTXVXU+K;>AwV7A=fHS0k-&mJ+#-UZS3t4;(GQ~vR^UR-}A^wzIaix^OI)1
zjaZy4CCGCGOt|V0wz5|^ui`Rle^gl5)Wjyg_*ayGYXQ8i|8Z<x>JshnJ+?3-%i`+Q
zZDr^>QIwTk_P@1d9co?(E4<_lJ>;KX24=`_dJ1kw$Y0T;(>&r-VZJLeAtmLA>l&sR
zyxr#!j8(<Cqy9S0^GQnOjHdDAAx~NOlEkc)qW)w;a)RBBQ)~Bmo8{sLL<~Xkgr`kQ
zS4f^ID0MrbXLZWV9$F(}ZRlBxwQgolmu&~$*q(?!`Gen`Gz5fYJDxAxg&><P=ae{J
zku4q9dO*SG%r5Xonf5_BEq<g^ydfJ%Z=%1!^M&)9a<G8Q+la_dhj%lC$o~goxUzcj
zWaR#<a7kmYNQC=+(h-qOtI!%&Zidtt&=$uWW|>`#WqwA&#keyvA_6xF%C#og<)V!3
zuO_`kCILLNW!Kt%Aj1wTI#$%=pe_Jo=n!4mJ?1HkheRe*(F9p8>Iaa70f-jY(3_Ub
zNn8lX&OzF5bTrjOq8#`Gm*3TUIXDJkg6-^7y>;#t(l_vuU;<3Yv`2ZS)Ng3f$45rG
zzI@Sf--Rq~=L#^QIhyV4pr8IB#Gr;iI)PuuAy!^ihN?rrL>R-dM1TDDO&OkD{4Ln{
zZnvslu8KHyo+e8{N~h5MgHTP$Ui~iY`FQqR{=s)S{89Wp*5^kCotRw7by*F+2Gvi(
zamFrE=6Y|rNq`_$$rOkbe{4^d{a=o(@#bi8y`y-mdjGLXfGB^IKSWpU-quR1Ke=Nx
zy?u@h2F-kwy0$hHR&jkGB;q)=v#tFx@<SeEA#lM!a)ZIZgaiRhhxquMVSsFSmD(UC
zx>9DE+zj`R4ErK<g2B@WI{Uw0%X1@t{?tGU&y*i@Sx7-suc&&D@8U_vg_gp4=45{N
zka$gGC!<J0;f2QzfwL^^>`w|@_}%h?g)ra68ImW{<4DEC_O05dSTp+=Rr4G9lFJ-l
z{6BmN`%K_5+i|6KVIQOOK+xKsoFx{K<DX#6!iudeOqHCBeLyi_5yDay>WDI?fn@UG
zA7qBC`!-ieUaVdKkZtAG(u&m(ngI=o4>BQp#S`0O0`8jCZ2!9RgJfaX1bx_r^Q<4a
zZ5p(6nH}qzo6jT46uo$Y(EB0%!jmma_|ow1z9GFm=G7C>IYT)dm36&8Q|kWx`)F7L
zTGwop(TV4yhu9nmTf$i}7O)S;E{h=x?Ubb@H5YV+mD(*e=iqHP=5p=Zn%bs<HqUJ+
z;<B=lWCo|?p)Yjtw^)IfL5A!9Jq#11u|F|siI4C0oHQN~Nl60UP!xC!&pvr5vn7B&
zQ%I@CW|c$|iGkPnj$EqY;DQF4HAZt+WOmmC9ydfuwD<FGb98k@*T}-m3=HRwT^!}&
zqE&_Ot3Tj3js`6FvWioamAH82f8d3F4{YGV;-Z%<JK`0L1zS_q42_X)fZrSEuU_D9
zwY#BCLaZ@!x2-Duq?@S4g0A@B04-B$4a^ZnfpVJKPUozxtxtNpRIv2jZ7B%Np~YH8
ztR%(RN&<`!nT3X@P0V6rV@J}$e5cQ^n_msxkEEG@5OD9a7|jvL)$lqieIW!_4!hLc
z|L{=FaJww~akRgg?P8&$i;IspJlOMW$<BF{?2raw`%&Ljdv;}7%y`IyJIKr1_vH(A
z0VE0=)k+<K&<2vv&Fh4D{~APKX=_s^w*8r&MsOIyF2qb&AijO_L?~fp6xi$a<qHfj
z1j56LYG@$spGD;e2<J{qL+2($!1#{g*#G?-y|*vP8&tl#f9>jmP)6$)CoXG%L&$UH
zq2KL6=wb<A!C+if<>%<Ajeql-5@NM73o)&NPhfxG5W=r2^8}(mz^H@vSY2DgDRB@h
zxuhhv03dw`fI7y?zMD^r^S9L={MnJa_Wk;q%WUw}#`sYuD1}UxMtqjFP}ZQO2)0{K
zv!~_zE|T-#6(rnNVu?u#^s5S}+(!G7s*k`VV#&hEX$`^4$(X)U&#IT*lQkK$8hm&(
zfHUfi?1e7j(ywk%G;i|8_yo>$hm<k#Qw)!cl-o9te~;HjX*@CK&~mb5Y440khcm-W
zoJnYp`{#ZxKXrk`!Rrr|HBTv{yY(63`_RG5!^ejSdkvwDL>c%VGUJ4)vw!T7o{z~N
z$aIpIX9OGNe+fnhs1a?YmMQDacd(k?`}>gNIfWjX5Q;$!Z|2WJGjb*6;WV^I&CxnL
zWJfD@R|oJix`99S^|g-Awa2tU69Sss+4-?H4|p`>8KM6IO&PP;I;*a%U9Pd(8rbK%
zrmB83tn%=(CHs-+XB-3aG?Tj-3bJ`WCy+oNxaW{*lEN%1TG56*3oDqzxpM%$CSjlg
z3ILQJq!pwz$PG}~#ppat>;B?@v;gdikx2w!>&ZS#(fWoh&12jO3JM%o<_%qVPa-)j
zCubDrJRA-f=6}qsIQ&9b8A_3{C7&6vd6yp%ChWQr_jdNEQqR^mvNlEwrOSm4Z9euo
zq#s{j&=Ne?bRe60-x(c_Sfp~|VTZ5I^mye!3P)Y5ME6r}c>Lz=ghUcy;7z@ANAeBJ
zJw*JpxAU$%LlGc0-my@kqZIHWROq)GH@RSB{3xlY(;*j8ko)KnvMOeM6>6+F85j=V
zyEg`HEJjiFJ2hi-tke;B_2UhOu+kpmMNFTP_ZamKQzTHFb}?9Zm|0t^eE6`pr{@Po
zdwNPzz>SrQA|E8LKm`J?f#syy^!M*b0g;?Dlk3ZS`SO0ZIHG>vI+VRw&09Ce^hFz7
zf9f>93rS?#6=Wu7pvbQ47A%jLPoQ$(XGBLrp{cImM-YzijKFjrlua&7O}%vzy8!&}
zFJ3-gSyT8tGyH>;gqDW>r4MCs5Dj+>vX`vG<~U-Ti9KQv%YtG;Fa%;3aWO3+Dm%IQ
zzJ|Iw4==BiBx|^uxU6L3_*_Fn1C)<NCIzNvOoTmPg$vzIp^!H7OYxoz-OdtGHUcPp
zse9WoKH$^GA2_EUQC#++JG_i3FfqFJkLodQ@K(ekJ_zH%YYPq)|GXwdM~P&1ac6Ee
z;4sb2%_t0c2I8io0{Al;-%_a*@ImL0afje|F&r3nm;D#&TMAkfH&}mvz-R!<{iw;e
z8{Wp^gwBrA(!FgB{ydO=0IY}opuOEKsYWca!LZ;HP<0#$IBRl^P8ZZM?F@$)1)h`s
z{%VMuvmRkk#v&7+?Z^?UC1LKXz~T3xyw4TMM^!MHwc)lzZ2@AmG29sCU%YgQSLqrs
z({7u0_iaCEXEPq8sYauS>9-GNX0hR|iGJktclm3Xu&;n(#!qld?d4_B%Su<9nTV32
zfc+0yS@->QzVK>q(IUKGTA|Z(0BJt-gkkHbaOsV>c1;q?%QNl8ahnrVnS`T97<)!O
zUBR0dm4%uv<tNGP@sS|=*r3Z{Wj%uQ3i;`m-e~b`h)^UWBZD?6n$IpX*Xq&W@nsR_
zstU>_)kjOY#65b2bnjW@wpf&(qe*RNx}gq&4q%}DdY<*{o1H|3);J^?mR);U+$kCD
zz5ie4i>EhGr4*$r{!nQPa~^uQUy7Pt`n{B`0l7cp%*960)Zrj;J3Ij$SI9x;z`g}l
z1>*VqzD<JO1l1iY(jSOtm&gmgBn@;Od!2jOW-QwAXX8i7_1~(V?Sgubzj!W5&-2gJ
zZKnl*O&bDNSgAdtcS#7R0!RbYiqzaF^tgZKI{9AS;ksfrD|)Abpb~fRO;uJkr-|JM
zNhEGTPE7Xknhg)$3j`hXm6!sL?u4a#e_uVKTW~i0oSx=<#@+gK!&8_^U;XGoiM9_S
zVZxjYfx{zLn~EDK7s2>}VfI8dLGY8hquxT_vQ~ndtN4&dd?@>lq8~!Md3Y>82|dlr
z8-pKo^Z-seVkKdEQ*v6GaJ)8FpP=f+>E1VRR_JyS?Wjp+>ol2g?P2d#*V#=;TKV;I
z|DHoH8tpEivyMfEBOEnVyMH$!u?&MznHa3v<>d?jyb3f9KT>9ZT=CE$-GWak_b9_(
z+dAKq^RH2Y(j6h*S^QC1H#M^Xvm%;o1-d{-)HUc;>~0*RQbC<O#&d+V>haCZqu|6o
z!f%VV&@?q80}T$uK-J{xPQ-Zd96Y!+@q31a#hnlD1<+u=vpr)c7@_JdBg&+NHtl;`
z7uc(EbI)R&iw}}reEfrkRX%=G0q^xQk8eRHkzWyPhPJAe*LX7_qx8+G85Gk_M#J4B
z=m$kbIrGwB9=~P$>ArICE42HzpEF36ZhzVH7>c5&Pw!}Na%-u}MB<$S%Zr^F`4Be)
zpMhC`?^Td-C$g(R$YVYOmEm$Yrx25dsHo4SOZ)l=UMLiReT7luLX{<&7qIKND5|#Z
z1BQEBCwJ5xy5orO@R)(Wa9ulBq#*kH6dPO2oB!BIKrJI}w$l-LZZVqKIKQ1_-TXf$
zbGFZ)s1`I9`~(7qhyF(8VUD!eR))F}sD7bUSUCql74Ex0kdceemYurJ>d=Qg<9O#s
zwzDF<K@;;A*5Vxd4ATPQM`CK)Q{slRxcABFqtpt;p{RHWg3dEmxbEB3)0g#ME#lAY
zAe7sQiIVJ6lhmGBaFX;1?HDI^NcAQ+OTRn&m2|HlPVR4d`ANeDv|Zc(SGUE7la8o?
zYT=HZ?634#GW1{S)GfGubT;_6NWL}Uo`GsDYw=V=?be0|GD2)^|B`|{kPbO~mtR!$
z8;<zH9SRVo+5fqSlVkhL&<}yvmePY;hwi<+u_4FrQvd68(h$`TuH*OYJeVZWZObzN
zg4AKeKzZZog9mkn*DI$Qu8vZD<xZ(CnV@pGQy&q@eD8JF4nmMG$(GVh1A_;pb85QI
zp(<hsv_ec<{H|Zza!|^qD+V~G+?sC~@Ri-!$yFaqhSJ1-d^fmfa5O?vNGv4=+5i1J
zs>a@q&*5oAh9|T&oKs;>J=f13yv5iMxcSpA(lMA(h827a{u2mmR@(O}hz0omrXm1O
zaC;TU?)HZRx=et*onOqOk-7L$;b?I$RrqTx?5WKt02FQwd&akO^HyB`vIjH6x^-9}
zae^{0MC;4?9x~ySyc<ro4i2LWkE~(zR+l5{QuUq>9qNYPx?2=k$T(z`mn;TQYy(Ql
zh@h3F3;92w-EyW6ID_9J4d(Z6Zf9QoF6`&v%*T9=i6nv|VmJyPv&Q-<5)?O!qD;Vi
zuu_i?-IXT!#&8F<{h;qZnv#cr8a+K~hJHJn=fh|x!a`g6;K2~UEvRg9L$$UF967T3
ztlyn&jC-kngW9Si{@C!H=gj`u;pC49Db<7_=QZP%wYA#CFD}5wAlJslhcwOu2VQ5D
z4vHc177kJ<8lW4!ZlxB~s8?GAv^sABJ`UJ{@v|XJ)q6o#@a}EtN0Rzfq*uY|erx(9
zEG>;vZ$ZW=7?8m$+PVN=MrsGnbu%H1;{Z30_)OieIyLxt?|-z?1_lP03`_i>^co!*
z;bw{kih^4mO%+de*x-7FR&<n-$1f{Czcq`1^2JkU&J=!fMrm-qbIeaGIN}kK3CSBW
zs^8ubzygOc61U)}fF^lBPH^gkV~*@QAU=Ozi64M@1l{jAXRC{f+`E_)3lU)Fhddip
z;{*^4ggHRDvy4Zzx6O7p<F-Td7bK^{v%a{FAw329o;STawmAUHJ|@ky<YdJ2$inG7
zI?9OI?)-apmy<V3Rl224jt|A_&1hWa1=4uKXye95-8MX(GOnM+{IiQo#f&x%SReYE
zC+1ei;x6=G-cHXsx*O^NOH)_IlFz?Fy0b()V8<8Sd*nGwOJ>8$XQ%eh)BJq1Hk7@P
z7`V<D=6hE3l~SSKc$yEeP>CmZuWDus2nnG>7HX93C;CIL4e4I#CLzYheVgf}J<)Y*
zeCZ!&2yLWkv6cR72K>rVk-$7N(_VgE;&&!ceno?!SASag8+tfriYW-t=A3tLPKZ7+
z7)9|dJckzdb0a^EApUq1Ash`2`eXGZ-7mkX*W1VLYh;ViG%+5d;%pm}bgG-ZeL1uq
z@SvwGDnbt)qOC0COH=rj?r$mAUR$LTH2brun__;NYy%FItQhbtI$HO%?zF|X;qW%L
zh9w%C4R;o&cQ^nX$jCJeL4WaB+Wp}*%SJY5b|-Nq$1fvr^K49Kqg`pIBi1qYXX~+q
z9pNl7nt8wL7P5`<8|}n33~`Dhvh}dM#KWqp)0ro58A2`VqJ+$9%sM=eZ{NSKckL<m
zu#X?9>QnKc7W@jHvxaR+3zEPp#l-URIb=*exiW%v5%mn8oTUW%kOBxjM#DA>yyo~r
zMw7<mpvVn{IJD=LC}wNOD`i+?fbn~J#wCe=lypN0TuO?6#jFdu!w+Sd79jVSKMMK8
z_*$tE9XI#9coBvMl)*)I*v040r`DVX!uzL25D`#s=qpfBindx%rtRmTG{6Fo5RSnM
z7ppup?Z+Q-*A^ie2}qRuWj&F^gnsv;)knsU5vEXvNF-1Uy{4v@Ho&F;YfeKl&a-Dd
z@NMP%9Yt_7BO?x|M_m(G^5GQ(^;)?^*)*o(DSIER4b&r`LF1JgAfkZSRU{F7*$s7|
zW*(&sEEye3i;M7ikCq~HUoBHC@wpy?nr<7X;#jkF0h<J#0y0*V1Q6@G-X$lbr4<?r
z>c@)xZDBLLratLcyl8^$duxPqtEHm@3_BG6)mFs-@(px!z+jSRbR1mx$>c^(BBcGM
zE8_viAb4-sHo9RJU^1z5iSShh^icIn!rK3J91{f<$q<Cn5TQ9aI&!_Xz~Tzf!b9>n
z-!z$k73aCw`Z~|F|BpH1gEwXW{$V&y5pF$+7woIforpHgK)U1izUONsUMelCtna5)
zle^xa@e9lTlhfto%)&lM61qG+=$0<M{5=r}%FC*qbMzwn_VW=QT4^<sKZ*b!aDe^>
zHX*E1?OmY&934}vq&6fLqU+8LF9e9Mc*rKj%1n`E1UUJ*67J=E-)I0~%c?=(b`M}<
z8VYTr>ShmLcHDlh_9kDctc;9|qT-d&R}MkGFLoNq(O;eEB=@zv$)kKlesO$g!r(zy
zc6D`X^GM;D>P1Y)11sg3k7-=S>|V=KJ70Lr-XE+MAPTW>qOgVZ<T98EJfHYqsQKU_
zh2(y6Zyr|W$B%cy!w7trb?+Ch$D?K+i#(L_iactU!q@i#3FqCHjvl^$^v1p`0b%tj
zFARt#N&}nR|3u`@EG@}g+I<Mz<18bpWR%UvtJrj*IM3G$1vv`D+r5w?(^#;*wRQh)
zgBq)jky$)e5lxzS16nM$A6|&gLSz?@i%~9)Eq;Ek<TbU-6S+q5KP2^`=*Ko^Ud@4b
z=69%B&BoxV3pE3m``r+e^JSjwz($0R*w=*61`YJJ+Pe~@clJ#7LP!<(k@hCz_P+jp
z3P=;k$+1l$ZvfU2@M|B#v^947{lr$9yygY`38@yKUA$ayD@B}j`RV{j5%RPXhK3*x
zP>VDWpKO3qC@6xl;8Dh5Ey5YpJ7ckrl@%gP$O3!O|EQ;ixB|XC=Rh=J9>L<-+IsI&
zCba9wTKW1_UvoDB;Tu{zZLm=WDp~*Q-b0}Xtpytg2jVFaPYBFS1^^T`4gB@E!T#Q&
zOWf8q(mL-ac12Kg<=V|_)c(RRcHchv{Pc-cf(lPaTx{t64FI0{Jz9`=BIh59kge|K
z&lOV=2EN=e%&%0=a{}{#=&`se4=RsvL(_OmP}KRozmq$+HN;$Pbt6Wm{`*?KB4)yK
zQ=*o~+n|#&Ksf4kv=50&P>|B>WETG~K$r+z{`32HG*#obQ#QRv*6qpYuX5cT5tW~9
zPj0();tTaBI^aN7u)Tn!3j$?2_Ly3~3&CfEG3v^wDwPoVHvva;RgaF(m=s;EYua0^
zp?ym_Htf=z@RN$+;o><$$UFzzjl@J|LO#3u;_`YcJc71PtX7uf1aM{q;J9#VI)Op}
zC**P{i?gBe{LJJ-$LS^z1;mcSxfN**LqrGUxFfGJ;SI~Eto<lfs~i&x^klXS*y6XV
zM%x=_8pyzPa#mS&e#Qq-;O*j$p&_p5Cf4Y#GvK>{-FSMk)Rcbv`RJ3g(L~b^FCxwJ
z`ahYi1XpQ!Ik^=B*B}(l#UWQ}lLXNe$r5LyDwYi)pF=Y9u?<kc&<;qPs-5@W0Op|o
ziy1ETU(7d@EKb$}D39e(6pYt?ZYdJmjKu%ZbnmJGoW!{~IbyRyP=IK_UWtYgV)v+0
zM#uQvbk%seNA1StJHySK*E%nS<4**xu_Sn*|6A$CLF3Bo0?sNav!(r;&nO5)7Z!kZ
z7x@Z5DoK}qu)HLo|KLZ)6mnn2!wQc4jE?E4DdZCGKWj?>d;;Z>-eo_iTgRG(goJor
zmBGZ(-@o>zXUdWd#44U*Y&DJh16crC<hY?D5lR~gqne0v+#jfICLo5B+e6~C6o_C$
zV;t||JnV?3d#KF=We1-!!XZtg8xA9Ai{M=0?@(<?B+wdlOR%#+hz!CTM=swXU9jCo
zy!!q(CsLZ-n-o^ZSFU#1#Qvx#BcZ0oE@R<Mzp3x{GcytdyJ*w%4H|Z3Jn_`d@n>#S
zKeMrxUJl$$k#Z?I-!1v}RrZrCCt$ywlI_pABnDJiNd9--Sqg1G#~?iJn)ZX{qW^uD
zZ6P+IR4&^GhJSBEwoyVWe-u)~pm~L~y5nnThV^UfF&kS6j+C$rtH$Uyo1D_wlTR;N
zANf0Wg&>9=lW1>*^J|kf4)*+7NHBSvIox(EEXpwJFo<MmlN+fPO}!Ku!bn1%3bD3A
z6`=iV>ep${ve6&U{F&Ip<60ef!sW!pXOZi31{nk=PQ>A?fCLNqVknB-L=huxwKiaM
z5YZ<$Xm%WeqRKpAe*<La>Wh#qls)o$T2av{3E`BS#KLkc!EacP?DN7&YhvR%Mi8fz
zU6hp1?TpG%nI0YnQED%PvjF00LJO~5Bh4yykz_rYBMR?*W9H@^7$6Z(o*e9t-!s%&
zPr_%QKF3;gWB4I%-%FR$q+IU#6^>&>LQoY9`vk!G_{s10B8d}-BlqFi9T;$k-aU49
zK=W7x7zgp4!AgloPWjx#!R-yfL^~+1X(F@X6qfVJ8CH<ZjkS!xzsJ76Sk!8G`Rv@C
zc0}MJoGtm@y*!r2d)t#%4t!6qOY<0x3`C>?R5N-RN*kJI!tkI<4c8-DSwNtbr|yF!
zQsuUxb=NSv6V9R(L3_Y#vCU949^T6V6M5x7+l?31CfDUVjXCiR!?4yRc&*!FFacx%
zsTb6OhQ^4*tPr5Xzz3lxRs>`seip>)fz1I7$mpnpBr6(W3in-0GD&g1g{XkmvwQv8
zN0pg+x8bgX%U>e3y$I>NLP9sAqq#lU4PW9NZ;oNp`Y6#tf6|NN*tlJJ-znqQnp+Am
zS#4V$d-|io!4CqmpI1NpWcF<L_4R#;tSh`}yfKh`zbV$3VI8R1Bliiz;&T7DP3c8V
zYnjCZ__fwQC9!{=`QKB^^!Dhc1FE5l$#HLmU1u^zezMj1dMsO%#tdHwjrQ(_<;1Dt
z3va^AvRYEd0fC*r$3}`;Km3~Av?VxBHvV<vcMgF-FiRu)$r+9tGd;(IiltaOKkpz|
zB{qld36nLZy!qw9RZ8J(M%KMIN8bt?MD)2zA3Lp2S@u#sG3K)hVHv(tqEQ4PkV>d~
zf&LXL);54Q%LtTEKm!s6^0DTF6vS8q<y+9z9`l^~Q!&WBb^y>5<ga;7C=lta+8yk=
zbrk+>8OoE|E{=}Zv-odMDIP(~6HmG}<E+b3Atr_nMGS&jU$^n&Db8QTXJs#-z9yQR
zmG!!N^d=n#M|x6{<E%_0f~3(AWwZt`CL@E0QM^mNhImU3sJrrww+(q!A-gG16xPG@
z?~-iAt)6r`qILy$F2FCqyM8n}j*dUU7i<j__5#V0zzvUpWTb1QvEG=@&}wskI{BuO
zO<aH)kBP_2*$9pBk)^YfD>Q*hTj0WpVLuP`l5x)>VS@!lJD_tc+^cd+OJ~8-bztB*
zt<wwIRpQ1Z{9=D(iI9Lny5t6Gz_=6J@J|qJq09^Y0vmit=Rz8crz}ogM;ko!IA%wO
zU`Yof8O2v8Lldu!)pGlTM~_<U7EJ8y4#YP9o|r)JYmSq@nN<^uZK)XppB~`^++u~4
zH}BVEW`^Dz)<PW^HX}r_gH4yy_V%7@X~%7?ef$&uWilw8b68#=VgZjmic7ID<F96a
z29=ALSe)7AE=g?G?N^d$$hX7&l|J4JleLav_nMYxp7Zi!Z~f1U4dHH@a<5B7-^c9B
z!=>^Hv6zQW6;bcl0h|)~fm~cRkm{gudY2Quw5GeOpW^O)|1>3ZZvsQGD*gK!CZ5re
z;o%S-VRkI`W#jaC&U3L-^3~fn7HcFn@Th<NA^7xiXu~kjkA%}lLN1x+#kqJi$(#r7
z#VGYahdLz!R%OKd9%Q`rb1g6)+Z&+Bpv&|=daqlYz8Zx8G&#_+{gp@}lk<Y_cjY)5
zE@V&Md2$ScwMe3cXlE<=kgL=2G;1mX^p!ogpu2<T&i$zp86W)@=v7)X{A*re1u851
z3kbFYQME0<XuhZCbgnB0jPK*rNZZ<4dgp2&t(a=1&CL@>_fcE)&h_x(ng>_Yuby90
zSa|PccT{EaV0x5S`ldq194R9e7w<JmwH*`tYh2&DOIN4<xe^o{=wMlSjfabLLt$%3
zHE$XvxaS9_mwqougP74QK1!z!R0%TxreQpV^@@`EhdUo(a7`?(Cl6EQOAs%sJ>8Pr
z$n#7^;UIv}f4{K9EYw)p&eO2%jnU*W^>iN+zx3|h;TPNEc#`AeL;1jBWc~HN%@f=(
z776w=Ev@!MCvwhTl=mY)5-&BvCMVpn7T^5UwHGbC25Cpa$0YP?Kis(FV*&1~ps)~f
zF>M(bo;w$-ETMGod9u-JFP6wJsb6eSiHPN|MwAv)gum}<ggrQf(y3_O!qO^MX<;cr
zt90$7NI8Z{`R(F94}q@-ua9s7U0>8i7V1~13t;s*{8`uDp8Ii($|YqXrncs0Exv?$
zQF&#!mmo6`LT`YL7_P@{1oVYXT*Qxws|a;25D8(^MPn>Z29=b%INcE$l#*wdoljK6
zd@h_lbpR?+(CKh$fU&@fWQ%#sqQs{D2E)NouPPNT#1#OLKg`bw{_r?<Q9yevEH*ku
zbdELv$WI)qz%GO9bX*u06o?*he4#2KZ%Z__wEi?dqP&VH>i{kS)QM<jUyvCEgoD#W
z>lQoIE5yGI?R~<+fT7hZSn+ye?T6mE<qaWbd#4QLd9O?Or>^#9$BHkoXM;n;0F|tF
zxvik&+>QZL(##;Pw2(6uB?}Z{Ne{3rNqvg>_Ttd{H5-KWqtn9cc2pe|t<imZGL|ug
zt9xu9eg*9<mK44Ht;_&qcesh&!cNRH4$O(XoTYg=&nt9>Hg<#Iohc#Yt!c?~ontR6
zDTJiWN^D5zMQ+B%CXn((R1cm~<1aaFQ>OBp%Tsm$aI72n&A;wP@%zD>(p){%v~~4p
z#aVA<g#`gZ$a_lbPa(eS5pRZnXM3(tm5lTF`uh*!wM=kLZXQ8^g1PI=uj9<#2cOQw
zauNuZ(p{Pl2F%jfersp%Wep%96uk?%(xJK~?YJWUvWDrvcA^Lh^&aof){=*jRAuaM
zr`W#J0=C-Y=}gX!jw%r`2jWrw)AB<C>JLf%$ZOZ$r5ia?lx&+E$aG@mwLj70Ab7?A
z`2g?Ec|&&46=hE@*7*)MJL47}@Rp*T|N59xC6!TdTU7L3X-$Jp9r=OPUFewua2)&h
z1HV#gTAEwNMwxjbh8?^kKTp|wn=g3!wEN6rTiPF66akz*z4v{Pt=M=P2nU3;9{9{G
zJ+SJ%NTnKI;zzUWw>kRSCw|w=!E-YTmv&7>H+?^!?w5zU>pH3);Yj_0;r!qG6?cI#
zKu3ko)J3VdBWyqYRB!XJt{|lBv&BA85aN-UM)|=1`eFMs6Jq)&R7Ou7C#OuZ9;Rv(
zj6v#<lhX)+{ll)zosh&uY{uNUaiRCn?DyMu?_!TZYP2rJ>(8GNCXJz{v(?Gj*{e6-
zg<ku%I&C5pT9G6?s&qg1hu>z0W@<_^34<fy!3lnrXthKM(Q{(c@5y!#17$TbLaP~Q
zk+*GaehPz7ge8Y+!ASA=v&|?m0x;;MAcP%vZO`Yvc(IBQ<H2WcY=TEf2+=f3tGjj5
zL#vil>l0?a^xBBk<G)4Kfc!%H=J5{`7a29+*O8>Gw|T$sKB2(|3S2z5mh5r$;V1Y5
z(ZY>*;C55HCGpQ?41*gSU&x6b-@$;2q3nqN(E?0syqS-6qv#S9Hrn(ieHKJZs%q);
z^%6maj#R@?n)O{#nsJ>SS-~Fd+kq3giI84pBSVR;Dot-2&|5gtpvv-~wXE6w>Tzg<
z(j(XK^IJ5h+z7c$*f1W^bF34}IKtjF4-GCoxI~AAIvuPaUi?;>pe}tG$oXSwU*Ahp
z{;@*${lfEwODu*ea9R={qfhadMw=<lSZKL#a2WevrwpN;id-?QI~Q7f&@zK6pr_%b
zC%WcAD0-STo!Ryd%N>YlM@bzXdLN3e{{FV7Y^ps+L{u;9B^=x*Dq==*c?w=q<e4Jj
zvBDhTVxzBB2{4mk^B`5#v)k)$isW8+n+cTRYJ5xHh=$`iHa|C)s>3mL8#XV5k^)&2
z4>iBd<L%`&&}4B|q7S^gBrA=EVM|v&j;2>)SR*)PJqdn#yGiRMiR<hk(<h#N^GL*l
zBa5s5C`atWPtJxfQ@O4K<9_{G&8Pj67|Xk=kf$dSA8zk3QPwvYH2CP(Z83X5qRP0*
zL87X>*1p8N5cB^F^Fpg<bdRO$y({Z}(fbbV{JbIg@&a>-HYQ+ENb}B{R$*F(K`XWW
z*7fTu4J=5QrE5f%H2|lsl~x-ugj!(%nb*UF<6mRNLoe>{b5S0RbU6Ee!nSa(ybqb7
z_v;PMpmAE{whoXK*_*3$m_r#gj`7@v1~<CtwQ+)8Gze07K{4RFo{<GYKi@(}NeceG
z%7o<r505$*9pcdV^urm=cX3&eC3WM$|M4Sy-4`iI$QLd&bwTLl$^Op4!6Ku41aL*Y
z^2eX#Nn&s%(06929z22tI>`SIQ|}#*_1pK4pJrqxJ3C3TSI8D2v!qB!GD>!#Yza|D
z$tDyHLK2FQgsg<jLRQL*M8fZRc3s!+dw2iyd0da`)_K0)$MJeSXIohB+%*ZFhy!z>
zZ)AFefE++Bt){kxOV0+7mBrPVjKfZ;nV(`O?0T+Edn>`!P%9wWx)yc?u4wTUssFwK
zwt=w_^p`(>4j3EIKtVwPh+%M~D2@b>ZhfhTm@^*rPf_&{ApcC++{18cu^5pN-Cb3y
z6fSB6S-SEsS1!PyG%$b_j(K}S&dJD2iC2||Xl;7bv4;RDRQ`3M4cWDjy5ru@JX6oG
zccip_;hbFh49PA-nDgK<hgvGFO()?#I;oMan|Q+7uS4Z`MGW)7k=a>pc6MK|+}|(%
zX%YFx6LR+S!lH)n$}k_#ws_s;@!Q4%2f32~z5$V6ri<Zny&fvKpfa{<mphufQ9Ql>
zp7ZKAlE}Xga;`UqXqPN(z1I+Bweg!sTzOD{!yJJ?f=pP)wl!e;K)kkXuk%nQP&hD6
z%h$Phc;-GfQW9X=(bB>$gx2z8bL!df`w(+D$s+OO>%)y0#lXK6M)_LrH1HHS{!&v$
zk_oVvn3!~rFm$K^cZ6U>gAt;NrfzRvU-mLve!XX)%gTR;TZ-OA3<U;<1i{WC_zux2
z0y*4Et3Y>mKo|oq^0`ItT3Vn8C)ZA5lunreMchP-@OYut13(MWTxk|CA8aOqiZVz9
z5rWD`m1h9c13Ke%w6!<PRrX3HN4F!o4JnzIw3X~%R(i-Ys2d(c;e--<x)F?K#9xJl
zSPc^YMe42;l60^!MU7*fAjXKOZv9<?w;JN}M`n*<ChBf(4gm)Tboy<0Z4mFaSeq|R
zQ-?_zO?oI{A;tJ{OpOq6>NeEyz*I#N$u-b<wubJgn3#t>-|=cdo>FGXajBxyNl@>j
zT?y(VAz>UCX5V*1nw{3E_}b+&WtPauL67)M)lLj(P%=ZxgZm#ZP(&DpCUOl)UbN_9
zw>CJTYsg6c&qk^LKw4b9J&;Y8A1Nk?*X?vdHY>hB@p4<~6nsT-=L9quk+%-BK|ci+
zdFbxL>LdXkG+(3y4RPoYf(#H+ZdU?IO;$(<g&cgl$nM8YF8YcjZf|$$2B0m*+R|NW
zgGdJOr}AmD4abW;<U}JwAF3zwQuj`2#xcyekrTcW-@6ws9JvRpZ0~))>nyhQgS%A_
zDj)dlVF{d=xHQ_qG<kq}j^sL~CF12%dGCYlM)TgRD)6Afnsfw6VxdFnwem8AW4!(i
zQmBYU2e`4J6trIdGc^r@=hye1hrh|bv&SP`qpPcQdViBK>83=ku#Sw&00{wzq1xwM
zLp?n|2w{P<z;ifGv|D7zINn0g7sf$}ceH|fC_3z~@rB9}dkO69Jh5yTvw3;lwuCGY
z^fo_V15I7Y$-mBP#yhD)BV%J*+S|eZtRUBUTy7J2ayAHqes$97CoQu?@O>(iAK6tL
zS9CB|wO_CD6aQq%Na0mKvK&XuV5B~9Z$$1rmqIV;VQp<hi@~8~A<7z|P=RjP$B#8#
z)d-S$uUzckGIMf%mrhVUQoFs_3wEhydufF8$fpJP`?o(1GyA8764c9#{!5eSLZ%Mx
znJHarqn3br;I#tFjwAG?{r(8PTvxT`qR$8UpYi1>1XrjVZGX!J3%IA3*X+C);xmxk
z<nHtb?c#t@Tb>^v;M{`-7hvAh((LDwH}&;0GBS>ZZTl#f1_>K|hfnL(?%3@~APCN6
zZkII-LP`iOQ4A8Thwzg%u$&ljuctfa?+$0A=izhbCa%s`N4QEW)1SO3DJ}i8=Y$Qn
zvhM<7cGd6ttPE-t8uW_!6ka-Yf--1}9<$<1ni_xnlchIKSJc%BKXcFGg@Iw30Oo2p
zBNYNNR{aAZfb8o_2GH>KE%^ZFOD!A-*(N7VOh(*|knrP`_P{x{!LC#G=CygWZDnRC
z79*dzq(mxQvlH&*bYYlcP&&LlTtHY@S0EngyvT4f^r2$gv4eQAn28{e8dTYgBVOF>
zMtEgV@(55>kV(;vUq~pgu+R|Cf4HWsI#}^bPi3NUU4AXb781d&7-qG<^X&3ST^Po5
zJf;4sHQ@LhN|BU%&&=k~A@V<z=u9&*!dA1++@p)!*1`t6%6+_ZmXiuUUf4NtUyEh1
zgl9AW44cup3+)CI5trwzlB*3!MNYrjjvI<}f9-#!Gh0bEdU(Sz|6m`$&v#{!UzN5`
zG;ZHbOpwqGfEsUS$-@cJa#!q#uI|F(B5L8V>;TRn`hS*gM1T1JP#=KZ)d;ypCH@0D
zsyZI#za3j>^cnSKL;fQG(f}FVS~P}Wm4{Ra_5)THmf7K&8o+%5-x4i~FDqIlQpA&d
zklVfyhS8e`?DfQ=@A<MnI3IoS4}b{k)6ftRYX%yI;RpKezVar_G%ZOI#z&4s-?;I0
z(HHs#d+FwhpE!=d=s`Ab$~+M#uZ7@oBJyr)tDf80=k$#uJeS*Km~1;;alcDi+sem_
zjH7vWKh?>W_4xp1nO@=Fp$9z0#wH7mZ6+Rw#YZ6RK;qyL9kk+htv1?AL&Ijo<V{Q!
zWv4BzVmSuwpLJ0zW^`fkcLwngE|pof*_9NSUw~=ELdF=c0|Edrh0moP$zXwc9a$h<
zvayZ(g@x7kwcg%qeCy^-lHk}_V{F_rG0N@i$d_GRI8$lWZh%-4yk9G5PQe<GdM!K0
zEj5oA`z>MJIz;K5ip0J1E-r_HjxvXHHRDM}ZElPE{Z6NXr%!b<Z^L?RD|t`Gz_go4
z)r(vC@_$a3Odj4#uHgdZks0*`{g8>}urAKgN5&eC*C5}ltddbs?^?z%{p#v(*V6v<
z3<8ebP2~}fdp_NtK7B#!V0>EI!NlQT7H%)FJ-NMJ%j-E`t;)8!c-Z$0i?Tn<ct;oy
zwKoF?8a;r>;V76bFTKz!{^01^svMu^FGU5>)los+J8?*_{qdv4pKJXbdy44xZzyN<
zwzJbjXS3Ty=n5V(HPzSemX*adj^@dOr)tr=bx*Z`7OW<aLc0>aHPNGTh%gO>O(op2
zFf&65AU^0oz`^+D5p>FJwT&ut;ny#`Qdr!9i9tYizAUrsX#+_p9~uNlM($~5M@C1N
z9v~nM+Ftr*Y%JbVsQeLU?AF{;>rjg6J)VzYPc0gVG&MuRl7iLw)T`g(0npFQ{8b77
zIA;i0dN8^ckg)`9+euM~g&%5Lfr<f)_tOp9AD9x4Kk1>*%Mh>mG&@-S!~13V{B`vc
zVfT`4`(E>6emj2R^rcT@-p%2acLQ%$8(c^Ox`71b^JOoW?$+AoHHen+{`Ur}`zutr
zwYd&S)aV$=d_mZxkL|FR`^@pab*}r3*aZ6^P_xq6Llvrv$UC^_z#r8?`dNzhNJZ_s
zQTI&Wuhg)7r*_3{ov0XP@palYw7PwKgGFSp7RwjTPTN+0r&OJ4u4J`*-@imTCML|k
z%A-H>M?b5*5es)eO<z#MA#z}IdB>N4-={0BHqk`@|F`GK<%#Kq4~g!F_Z=dy1$PNE
zH3Hek7dmm`-9PFKe~tN*n=~P(qHPVSMI%Yk<N-GS_1a__ed>Ks*2u{us?HDu?Xtbk
zQTmFD{5pKcIx2hb?{rmr6G=Lf6h8WG?6#m@0%ACP#4~hEsn;jB%cm8-!~$ZDJU=At
zhw=%<2mMnc*Ey8t?^3F)wWa8*yl4IdBd1=1Y>EM{)VVuav^Zl$S&uQxH79zR<MI6P
z8?lzR5|mJKmKbtd5K>K*3mfu|*NyTIdVgbl_FeNB6#a<Wu==iSAao4#LQs&}jjfNe
zF#EgAYn+!(!P<=dt~1M^s|X`^i}<V7bDKv+5{dbZ-rjc_?D$(G2=|-^Ajv?nh0IFH
zTU*I4JJ{i%!mRi7o%3>MujzC0{c|kt5g%GX&*{{q0B_I6^Bv8wHE&$Jq_^5qwlMW%
zwDj<q-!hCdG&m5qKqz%=B)2&%0h@O!?a!=W{bEhCn2oEGBzo%2iJ<UjvPc32Arn<^
zDZJ?5v2{}CwAts0DFmUnIh>soXt7!!%~BzvSDc)hTM&APi-~FPS7J7TS3gVX(v7vQ
z^JVY@WXG_b5412hpPZj}lVlgZ0g(t;C2-(uPm(^4V*`K+5JGj7&P)Zm0OG>kBx|_4
zXdYZR{&RXx05KaVIJcFA9$K+A^`MWqHZGMLIS=FGcigY{qTKV`OoZi%Z%W%F@t!*e
z+(P@bXC>EzqW10DrqJnvuw;#<2>3<3aFQe(?_UFeClF7yq1WXN)z;EN-`a%-&X(dy
zJIUWhgdCY9CrP4%f)V4)1S#9kqm{Ku6VES4xa@_U_SMetI)mup?sdXH?2Mh(LEa1T
zpLiW<Di&&LYReRBm1LMtGg54=)7)>Y!<&SVYKJN!4Npw1tElLsG&{cQZxJWn6rE$Z
zh9N4!){Y!O<c3~_vdk4WQ_xyN9*x{!5_BLRV7|aqXue;ms=QZoK!V0#BYa`8eq@#e
zl0E#{JGz3-QYMu<RQ(B?SGcSE51L)P-uRR<74aS~3iI<D13yDlhd#SojUnZ8*XwuL
zws2zxo(Z5=^&|IJMk&e4lcLvltUR2YSHMz0M)7m9uGd&&UjExK<$7iq%e1Y08Z@Iv
z#%W7SKm9taphAAp4$klu52<CH^T@eZQE^Vad|3nkguQy`<CZ*=i`xqN%CSXU$}aM|
z&R?3FtKw%!flA0iobJpYf2$d?N<qbdKeC2h52KFQ*?qMLI;MN+ntz1Di$=sWbY~07
z$};ziof2goPof}TB&d;E(!#6x?F0Yv(xDTNphd=z-QoZ*<w|V`+0jSLa$x38;!9o;
zIsvT;5-oH^A_9}0(x7=36BYGdkpy~&zIHf9V6%k4OO#cJnVp4&s6Za>>wjnKAS0;v
z)TRc#8e2aY3;bxlUk%Qy)2Uw+ub4Q#>c#>T7fN}fbH^M?{gACkSXi+XHe72cc+S2$
ze&(KTU%6XW^>=RvjA<?Q&+b$Ce$#KX5M{Ei-bro+$HTSyTOX>cUw-~2e@^5Z7b&D}
zMTO<tRHBkqt^HMbqXIu<t#ly1HvGzdfxTJ;@V`#l>#dBI4{(A#d&cxx#yDL8j$`zb
zH``+z!MF%lB+d?j_$FIP3_li`WPqkauo39wp1EI3@1>%wjPo8w5W}t*i@E3Ov6-+E
zM{w<mZH$hIx$n$LJrAJ%^iv*I)^}4&a-4Ky{*h)D^k{t}B^Y+KPfPj430A^m3oOvA
z8<8An0EE|>{m24#$9so&9X<N8^{qlWV<;bhM#Hc=!%y#ANTOLxJiGCt7>N3I8q)7Y
zj$(FK;M@UTT1t0PS|Y%VmC37a6+Tku)Xn;%x;Na@8_v~VKSe^oqSLM&3R=ty^O)=4
zi&^4Mg=-1tO*5Wf6klz;eod@PN^#6w`<5FE*xWg-CyWMU3m#nJ{|InMDCogquY*cT
z-RFN*xi|9dcw<9VjzCcKI+3rxag5bWK7E*nl{$8lcc_}S!2Acwv}_z+_MG297##`T
z26ru<zM322hT*deq#Cu@xx-#^k<{WIx!?PvsQvnuGG)r5Iun7glsl5UZ6r1+q~|;Y
zYvYT)YMG&1#}D#kw^Idup_iq@Fy2n$n%f!aE!a*iNgn|(=^NSSsEb17(E)8!Kn!Ry
z<%{%NvXbLENOqpUx?^;?utU0-)a4xlvJg2Q%4c$Uyx{J2Y~(N&wmINkY<G!8z@^+D
z&0hXg$V%?@oF}P;73JNj%nTHvaw+>V1}I(A6%-K{cQ7kl0VF>^Tw_yco;$;aSx{X3
z#qSw#??W{~YTrLMEVpP(EP(lF-ywy;97`874`@V#0F|`1_U7j1_V&z)%8Rs<<s^n(
zfN`ouukV6z+6Pe1wd>c>PqRVi-Vn`L&6+cRJ#p8F?tX|PiFM+_yzb@@{6hGpFDq*7
zCFK*yZ1sXll$ECIq{lnHlIg8;Te7YmwKi01dYA*jPR-^c!j@3G?W#teXUV5YZrc(K
zOH0o4Y~!@&<tYgdRf)cRr}Q!9aV^iCp?vtOF_6M_^KwjzCqYmT!fQ#zFmO3|93gbT
z#AwQV4zZUBhlKhFwRR<_J~yS05p3>HC(}Cbd?N>P64<@DCZ&x}R$ATq7%}(J>^78l
zOziA{@iKa~ClEPuoi7rf{`##1T5^qhsbZ5FGD=G4hYRR;aB;=37MJf=*iWv3AQIG8
zK~;d`xU(~)s<CruanZv}hzZ*-pN9j_opwzx@8=PzR`VrQ6b16|SyX)6{);AV<Gh>O
z7P#;)Fs1l>@pA;I4KU*S53G#i7j6s&pJ}HlE#D^h->YQuz&lJygnO;W<0uG6bNIU%
zu21a5<1lx_FF!IOVw)$aJ>pLg?e-Ja-{(}BuSxETk<-)Yun<wT-&e2TbVB7cynvU>
zHI@-Q7&i5)oH;c}Xvo``W7W6f<Va^CekY8k-P7K><;0K(Gm)M3BQLqwS|l=QjvTcO
z3L_S4AYK%SD3Dcs;VE{eGcl5AH@0TDYNR>b)P(f6O(ego{p5d6TYI{NZ-}?mTw#b-
zB8Ylci;<bxyPocV!u*l^E}X`=o}`-PuVNvFu@H(_+!Ur}!ZI?)L|Jp6YKn9BF+%ub
zXBS#Onm*=pg#`EkM;Gb?$}CL}Kg23lny2+)&z<DtNanLL_g=r|(U!-)5h-g=Jn!=a
zs08-!|B(}Mw|zHC!!hB!UQq@Hw0CdggddcqSoX>+3x(Gw(0*lNVq3(7=nF@Y4Ll|N
z5+Uj)KuV4_M$uZv->ExaCLJ*f*u;0y&TL<7oo(PnR727o7=p5IR5GJw0!}4lH8LL3
z)pbYJ5U@?fX03jbJ4;R8ZZ@eL48z>prn;NFH7I*E=1wJquM!jzNA80v-?OLe#fvXL
zIje#s-li{_%BP-bF<PCGgfeQETa|~%HU!nzjV;DyQX6Wl6gstr-LV$bJIXAlpa6*L
zrp|7q5<)O5U>ycp+Cy3z1n`ZzX`!j2Kwv4!{|@;lHrS!jg-g-%kVqmtz<0=YQwgBD
z??tmKT&WNg4+9lP^ke_IB*pII$W;M=^XvC-RE1Yt4|jJ1W0e1VFbHY`&ml+~%7W(L
zT_`S=EIAp|?hYS;{*7p+Qj9GS52J%pw)LL#6<gcd?AGv{hu}28CjqEHy{FZr95qy;
z%-XmlFzCI<UT8cuHMKXXrE@n54IsKl+v9+ZGX2&WFmQmR`>M!pOoc5ZG5J(e%LlG?
zNgq?IqNxR^O3$l0)YXNSBH(op%AF`UiEkumMeehts_JI@!Fh1F1IB+53x3Mn9GcE@
z!v{_}MZII>;4ps<`t7g%4<uLD>iOYnZqa(V!yQ>q3z94FJyt^+5B0z`lhsX&3IQ@?
zs|MTJtp2#PFiNJ*w17uBvrKwNe<FLEE1Rvuxyq<LephRUBtb{CzBZ|k;`(jJB8!45
zGQ#5+>jYBkrv_tv%vOoi#O`s-Xy%-ezkh3fI?K3qIP&ziC&SlP_>nJ49N?1aw^0dI
zPZ^O=5+GuO-da4Vx4RoZj%^+3e^MY51oH*9G=*;57M0&sOI@4-%EDxldO{Zp&Am2(
zSpNL|(_1FmE6zc3%`UPC9ihf&jRNy0)oc9QQ~%1x=|6zMVWqzamN#g(lNNI^CIj`h
zA3Rsuk6m?Eg-ML{2x@NM2WCf#eLP4>K>@B_(Xj@xl+Mm2<tm42=tKFCA&;g6j}@A*
zN=cx+sDwc*8u?mn^pku3WZhMyys88a4>TFcakkM&R0ZE*B`SCTrXHIb%8L0$FEjo+
z;*Rg%sRnkcP~Y+R!>|rpQr;Wq0Ks)~OHuhb-80?@pCEX%i4o8`Hi4hQWYgNPi>hwj
zH-BQf-~9R0Hiy!aqA~3(%`srneonN&$&4Z|Ny!gqN?D`#z*4dnrDJLai6TUB&Gwp)
z%J5wR$7z3aMh6SDt{{%?*4y2gi2M~#0_g=W4{mpuaPnUTfC6QT0;h{U-FneGjhguw
z9MX2o_K%H@?!eIxEW7A*_e>YbI|>iVwSm=D-#ck8Zf=LQT;cit)`B(fxJVE4?ehRi
zAQ@H3bsyXR;f!NrpUU<Fu4~T1ul?74PV<ZwT{Frj`iu4#Re53qz-v)vsUj&^jHeFE
zRA099Vt0JYM9})+Fz71`?ISD;U#b^Aea65MXS+cJV*`HmJn|L$AbWH9P9NzGFYDx4
zx9tCM^24-v)d(MEh1%?2)ZU{djPz1j<96pISXb7EOJ4Bf1VhLg{QzRgpEs{XM3B{X
z-pWdSdeCd!;K7(+CC?2)F-;fW8pUA1KEa4Teo|)Y+%ucY_bhPcA|wLAeF!{WT3GnN
zS*O1fiU^`#5F0-pp3_hFC$;R=3pQmA=ZrZedKYglG8zE@?_TR2*Ki+CRaoC(AUVa?
zeg~P;x0|n>f60C0RfdKl3qjY&=yEUNtS6p$l*FV<xoT#&zI&&${9|EdB~y9#Rc9$;
zgfhV1*ZZ*3ft7A2B~8tP!^*<OCU#EjTe*daNiF$|EN2_a&Q0EB2<oNg?REQu>m5uC
z27!MZUd$|iR)>VRI55i0ivpCilLuN$J5&dUhSJ$7)l?aL#KNwbL~g&<(sicynEO?!
z<hDsL!EO$xbc|QV<}S{D5PjZP89dke>Q-n^kIZE=lEjN6A59?vUq^bl)l2V3bPu%*
zi!btGKfAvZJ$Oq)UL6yYlhQ|w0*?{9V?D>ImLgG($*c|ZR&*Y&^bhR8d{hzU#>jaP
z)DsdCa&T~9BA1eve<z!3=YC=hiEx2|n=>6D{LY*a^;nWU=ZX=l8&?SP4MLb<F%#C7
z6`SnHVjut*ZS5ilkG_{F3X~8g4!E^a`bi09GjGhA(3Z96(dYtIgYX}w{E5&eMi!RD
zw6r6p%#TfF(%L|qG+o<CSeYG+NbnMfkF;p0OyMG6LD-w=E1;lIk<9>t{n^yWQy<%g
zB}hEdzlB1$Nepj)_w)A>O8EM#{Jc;>QNx&7L-F{4*3vNX18n=6H7C-Z(DkSoHH-Mt
z8oaVScPsm;6tsr!`Z-egiijhOP(Z8p7jJpqGjwXb1DLFoQ7;!(*Gl+5Ts<GS(Cvh+
z4nvL6_S}1)$OuFyBe7ctt-fmmMc{FSnfYJ4hFhGFpj7C(XU8OfPiFV-J^H?GvC)-#
zuiE}D$+8YJzWnM-=sUu!mU@EV(q>Ey$*w;`bIWG)9nsn3J;m#!-}x15Q%Jw#Sd8Gg
z;)H$rUqUNli%;~=>OcRV7QotX;_;KGo@?)Kl1c#-s2;@OG4&y)=lpT>Ekdh|ChWIw
zubmXl6F&dbJ`BM6BQr$%s#;54sKbn+-X$yYO+Kv+q{i{?p5fslGZCy@CXyE@aZlx#
zpG5rOLv~`4@{=bt1gcQ=`1dIn{a#3+CHM5{n+d~2UK}UZ6rV)GWe7&3>M8*J$HdS&
zG(+QrVv!xcEHpkv5=U7mZBNT@z-fx}BvDroPlTXeo}d~GTLlHJ7K9KCD=N<|XAyj6
z%vAg<mT}=owvb-!^+A4lc66mcnCe)(2qg>5^Vd~Z7w<$@wrvzojT?7taB#18h+0)h
zqV(E}UEY6Mp~dNXgc^A+2dus9QL!pOw@~60u(k1fYdK%7(4utm_4?c(OvZrXu+*fp
zUH(nQN2Murn}qOvED;q1j8smkFHVYXqvrzotbUp$qmh8RtIsl1ttnyM<uObArLCj&
z5vG12GP>JXfnsJRl*(_z_Gx;TSQ!0!SWp0apsZ}Sy)-{f2*B%?cg`DXqEi_eoyhoc
zTB3A3WGg(6K1k=JOS+i-QO5k>sMLu_ubf*s!m<O<q?Ac;r6@tY1c#Nbt%|CuYnkP4
z0fD%-XKfBzzs{^AJ$xmBZ-98^TbJ0OQR3qF2wo#~E#6|qA;c574OMjVXDB!9AMLHM
zU76|c`tpV6`!>ig1|}HANY#v+ZbTIR#wSZ4z>hrlku87;DG{hbo|&Q^<RzcCVQqSF
zsQ#1>8NnZsaVuwc`M@5~eT^ZyR&uJ{ZTvIgzbmlJI<dDN>|ZS1!rbp$rK#(q{Xt}e
zVhiG&gB*LJ>O^;+=NzB2ZWHshV~(G@iH%!~Z}%S@$(Rq!COi0n>d7$S30<7c`}M0D
zXWdKwe44Lwx(=DwyKC-9|AWZq>CW@qWTXT_bwXCc`Dj+LP#KEuZM!t4*;5GwNef#a
zZpmmVz!{G!X35lTY<OcEOA$yVeg}I4{08J2fX2f$L&j}zm<WrH(Ccho(u>r_f=UTR
z719jk(+s=35mORSw9gU9&L30QNrD`lMQ-YZG4(*nsi??taS8HAVM)yG->i~@qR^p1
z#PrsmNbTND7GS>(wufx32yA3jq4$Us7{-`>M*#rkx40BTLla|W0d>HN?)52bV2}r+
zZFEEE-MxC!SVbfx-0pT4o|UZOMHTC>D*=|Gtu#JTN!o7=*9ZjINM!mH(%N3nz5GEK
zsk><M<!`hFT|n`qSaIJyye*@jl)_FbYnwuMj0(E>*$_Fmx<zqG3-z<X)xWUTy5DEP
z><L0=MehX&0C@L^J62APfc@nuChrzcp7cImFB20+4XiAde2fUlK?yt(HBt;vjXdw)
zht&ppLLJUK7`*eY)CY#4z#PQ=<(K9k;{{W|Z>)RS;`Igy2^GpjiJ0YcJlOk~w?k(F
zLObjST~sYV8E(oH!1cg8gl<Q5OaX^Z`YD|th@cEYupcEIEv>>{(+|?JhFLv5L)^eF
z_mIZZf>+#av)$pt*P(>>6TiQWjsi6FAx1P4>F2Dizf(lB4FXaibxJDLnr1%SG!?*S
z*tHCWC4q2iE?6?()y79W<Qz>9r>((-(kA|;NzLBsxFf8!RqlX&=K@8EphE6J23NA{
zia!4b%?Y8Rr5%ENOM_7&fEvSZz^@M~+b?A-d}S;CdCp|o_8jYS070!FB7p*mNVKmj
z%k0{@?Ze<?9M@1d=UeGu8`euNckkJA4y3qzs_$A*+?wO+nA%7@!<pvck(C4LPeUN*
zIn3iHsHAkomUeT&C+<R^b$s4v*0z!PVNwmo6}mwv%s_W&cP%sqsh=H|Sn1gtF6S1~
zObQ%EmxPsztIB;;Gm(eq^PE$?ZddW<u%vJpT4eFIOzqCnPuCV@-L0k-ais&*l0Y2+
zzzNXc0><9Utlfrcl%I6gnwt^9EVeSFiJrN9-4;a=Fvp-gdv;buZ^qLTc)y9e%>Ml}
z4=$lXtaAcM0;jFlk_5mHft<4y*AC^wacXsb@{axlL{!Y%Dc%PnzAqtx$zGm@VE*J6
zY60P;b(9a^+{wyH^y4}%9j&&uv9`YD!T_Ruj7*4mJ26mgEb}5e?W7euH#bGF;@qX~
zP7MM<_rcBNPhl=_Q9+v`!d-BM?&%=;smpIJ*woLu)v`#`Mv_7aWL{`FQT)EuZgFX{
zjaWm5DLXdbc7ig}nuhxKn+!LtAADF2)s|YpoZGs8DSEZr<LOw58m5nN#LKwrbSJ{^
z+T{)W0r6?|mV$bol|wiga7meFn;@e`$DJ0jV>D&^G=o0%_P(0Qrf~E`S?QS-MajG?
zXIJ7fGux+@;JNlHMf_o~^hqe}1)K39I_`Yay!h)E9Ssff^tnaj^f$Qu`aw0yahZKs
z9=nDihk7!Hb;2ZXyWG7Dj&DkbE+^rjcxZpIJzddB{Ns){%z+f>Tfv3|L)`xT`=z8X
zXSc7$1=2ymZXiVSGvw>qQ??34UV`n*hDiMU1j*qIVF|^b`PBzIJXaOboOdVSE$He>
znVr3t{-c2fj_+`9r~`pZD+df_+*bXRG>9@Z4;Du9`#SYo>pPWSa=(5k8%TV&Ua#h~
z7<S4AAWHz*U?nG^jRBb<BQ4GTgX!uafq0l>?ft8s(QUWVZrVCQHzJts*@&wLkn0M#
zDrl+$kNxgClx^bMCf92PcR9I+GLHTqy+uVX$HzA*p1!|U!I=Ev&Ff<yl&Huxh(1Po
zzt9U$EAwD5#y4}~HP!x)XBMq&P2HdEy39?H%K@SsArSSVe<RfXjy}rI9Pm2oHLJ6_
z)KjcLqRaIC>PX>dlP|QO!Vrn$v1T+kr_J5a*12^NXLyZep~HQC{P>8dA=ePKt~$xb
z2o+#<q!wJU<3A-(SkUQ&FdFnNn;Fe$Z`)s+M<dPlK=}RnGAK{^=M8<p1VM*PfGW7I
zH8dY?CE*2T4vwg!Z?=b%QcRm{CF~R7c2vZB0kEMpi&-0AWu?pK14>Gks79Ah>n!Sn
z;#p0NSNkl9I@E=Vp5zU0XM-kTuW<J(x~(e+Fh`CZKm4FwiR30$6(W)<bD<AXoOW)r
zjI%aJ$7(A$3ANV22Me!?YA_<jOx?_^8|40ZqaPRAzjY!eGjYH9kaw5i)Z$bP%HE)P
z`vF24wPO{C>eiEn9Q(ilAHa?>CP@Rs{q0JhH`B3`&E0&+xm!`u0=dUMJrLm$7M7OI
zlFkX+OdyoH(}|v2>Dr5!P58TUcH{^nh^=e-LqTRH&+X>tK$9F3W%Lq|EC8<x&Xk8_
z9MX$gg$;S@{Xy{f8-bR`M1;sPh(+T_xbaz6;bUyJ{}0#=%OX?}X?HWP;#Nl#60R3e
z8D%wgm}y`UHI0=*XnCT3Mqz2V<{3mI8VG4^k>Wnj(o&&=Y=nvm00I6Os0Ig1FYh`U
za?*dacAYJOpmXn?==Il&@aOq(cYbJ)8T3r2Z91<iKo~k55FbLQX)Q3O=swzQ>-mb1
zIx*zOobGCMrJ85YZVysguelLZ(f<LJp`K$m55V|H#O#UHv_(Zz&qnk7Padb**Qq9<
z#klbCVsQ-#Okps5r2i5Cf{!rWatRZp@hc<83n=?izS>5!hUX#1x95^huk<@+sVqwQ
zZ^%Xl?pq$Ppm`Nb5>XG0NXpm4AfWLJe-K_F2s|O^=I0Ngeho>?#lGTEXgN?o*6kP(
zWQ}l0H^f4LBDvhhscjmowz-PyZxd05GpY`s17@b`#YIG_;69mMG61T8xRGU0UsrOj
z`uAL@>ARJmKZW1Qh1Qn_<1-9htW^El(ynpRDNsJp6W~OSD<E$O$lJ4(suG{kj7?zL
zZn$}@pjQhRL!B-0*;v-=f>tD({s0azF)=zALU-+^N&}YeR{wVa@9j#toO~Ma$Pwvq
z;9d0(-<r_2t5OKxZbsZ-{I!<X(<hL6`JQ_~tIHd*7wD!9yKu@)&%ALcWfQZ!=ADIm
zz%Imc*Qe)$%$y6qyi00-H<Az>R+bMll9!;O3EF!(Sy@aLsd<o2;U`X?9mu0OUvW;Y
z0h~e4<Kyj*pQT(J^2_mBiEbRr=DIF}v`}0i=p`B+&a$9cD?|?0y<^x)WjSxcX?t`R
zT>Lk6>POw-&WE)_PDx4M6mqZZ(-5hLZDWAkMloVlB8m&bCKJe85VZ-z9QK5n{YRi1
zFg7MypWvX(>Oh-2U<7sUs=P?Fl|Us3Vcn@yyMEF-zDSRYLkyDMKh2nNmg?*?9~T3I
z7z3fR-OW(q<aa6hN&vouyYxv9F!R%&Zl$v<$6u5ut|M3)Oem=m*FnwPImGY@GDk>l
z@737<@vu%#6`8W>H&YjJPg$q8Ir}(^Elueg%ZxkCkkyFY(`M2#Zi1s{$8D`H*`yX=
zX0XQ;^%`4Wil{T7|AmeJ^vv1+p^ATBL;j1k0=Ebv{$A$OTA!rQP`%aSe)5ANtr!`W
z@NgGnc3>7n6k>RocZSB;ipJP_n~!+-9pP_@n!`j#D~7u?=V#%OQBkO>pJ8e7;ihmS
z@m<Ki$Ve|&w|;fB%`G_Z3`QY5@LhkHo0`S&;s6KBZek9oZHQ)rvG(wxLy-GhLHp`6
z<Po7IoZ@#5CzqUDSw+Q3K_>ish;rR~;J|N&pjBdNjTfPzx7VjRVUIG8F$5@OkaTNl
zYGMcfgTOUtjoN4Ak`-N;1)-?MTxwa!`b!Pkm9wb~u*9Vr2;pk_6xWEvXULTxI2sSg
zc3{9Z4ndlr;COkw{#scITy^kQG$(?HNSb}b4nYHy88Cu@Msk&;Fg<Z1g46(z2$GZu
zA3lBzeg70k6{4tGw^utd=zbjd{J9MonZ88M?8NSWKJXQh65w#m0*8YT42f76K5Dj|
zG>A?^hn|M3<_cf-NysHM7@4)D-r%;V!Em0$uM1w0f5-N4V))|sY2Ji-mg!rbH#5o>
zVpZU}DS`Rl%cZl?p%jPVZ45-WZ)2Elk3KsX-ueUXfA4Kxai1m2<*sd5-EQt49)_d3
zQ)MRy5BTAK=qMOisB-WYYcM|C#!kR;bYBrwf-#WOH8bE9n4LwQ{)Z_zoN#?&Ep69Q
z2<7`=DV!ZDs{<D!#6~OQwHOBwfru{Ev^M^Tw_}UA$AIag(=e?Ksaql<=PlVXq0{p5
zDM!}ZNf@kOm6yW+VZsa-K4u_x4Vf?#;hDKP9X*LV;a@!~fq|~Hz!)kibYpb%>7U6A
zy3{;~M)VR8eiaDEl7SHP?pPoM^`aXRl9D2}S22=nAo6iw*9)7~c@KxH%L@xc#@g(R
z$Pu#mu2bxUzZ(ag<|2@MU>~5U4apNAq+Tie{rcBU@;jH)UX7}gA%%e0S9z@85=bom
zE$7Pw;=c_oEhZ1kDEvQ3tisGd*%Pp`Hw<)RFI8i?=9&%0H@dC<X{_p>hbT~!<9zMM
z`ExR)X&Y&ktp;;}$hA)zPP~%f@D!UWg>OKg{2c|2yY9>uM$E2{)*QzLG7u3=+0@!v
z1#e47@BaO_Lw~NU7$KDz7lM%yJssVp6-TeWTy;J?yuh-LKn$*{n>=m^K{g6e-EgJ%
zB5?qneh?PP2W|Q@KT%3D-hts{d)7tyQ+O3|371)3gq`;CW%&V=32No=;$w@8lhk`p
zA{U1@|6$VVo)CP8EfZMHglj@m(m`fLMN!|#0m_M7(D9HcbcmQmtCY&01~WBr6%Nu)
zmIr1c2;%wRhOM=Oe>9*OM=COKX0P7G7l-&;g;)B}k3&fc1U0W#8Q1&1eNmkfNFb7z
zlT)N3`ojSJWYqT~Pa-Er^TAORkiR2gA;3QhV}`@2dM4V*-%-{@2#&!p)fR9!FHkp%
zQq7n^NTmO=MxVLP<swUzk90A8P2Y`ERFw6Hw-Q>U`;YmfpdEt-blzTMl2^H0V=*H*
zIZ<7D*4osh&LKfS+As8PAc^s|$B5tMu-ljT9%nUAY{XGfVE49?zJ7ji3O<kNcbS`?
zKis0gMbKcx$d974<`AePEfUFg>q+zRA%n%u-(Q({hPmwF<5L%9g|i%4jMdgf=1=nX
zFi(0`ek%pI4BBZuL!h5EtK&dgTa#t~S}lrJti&B(pF=+2hpdF0hj4J?4<Y+^=T67V
z`p8CfN;T5g&k+_uFCX&h@|^GJK{O355Dqah80YKkN<NJAuQ_px%R}#7Kz%UjO_^7S
zpkAVW4^FziZM_qu>q+y%hb>1NB!c-K0oF9!za&VEhCF*}eOl!gBQI$Qznb9zi;*_B
zk(+M8e9hZ<d~I(`$Z^ph=3{KKm&P+@6(6R^=Fk$h{lCD@(p9n^mmB9?+0;u-e$(Lb
zhypesPxIwfM<-2W%XObm8o_K3Ea!?(tbjGg%)xnl%=2U%3&WA4d;$c*2q2SFFI>)$
za!o~QWkq=nH&N6#Hg3D53hNG(vd|$xUXD?+wGJkAvS6?iJrLEXxH60dt^VNs<wtgk
z&xqUX3q9fCjEbP3{m<~uc@K0n%Ji{4Qz9oM2tpc75}Y@Ew((ZB@KNLlJosqe&Tamr
z?Af!AucL?;GV#JNhqem!&QN*tpJv18B_d)+{!HlhG>i)?ukS>nlnub8g5U@gqWJ9(
zA41dd@HSm)`-CTQdoXJ_7@O=0TgyPufCN(%Q5*=|k=Gc0uDC@<VgK!{%H%}>bmplQ
zs87aLdxJHzZg;DT{3|aiZ%89&Kfn47U${S#91uFW1)&I0FvuIQyyLu(_nBmWZ=%TD
zmSVcNDl9u|LzE|WZ@ezp9lTAD4rnj}9>VsrvO<tGye&9AI+|_%gn>(e4<Uq*nRAFC
zMH6^za#5|5?A&lokhgdDL_YdXA?MZnZG9sLR#?;{sb1CL!}N_+IoJ6QcJr7CK2nuv
z>QJB{T=b6kGuAugSa5^rCCvQzahA4x2a?yY{K}c_VrO?xX*v|EoTwlES`|>(pOF5Y
z+}v~o-FxzdWLozM1dlOmn%)Wc4#|$f9lib|<+C2`mn!``D<UmAu+$0t1Lw_MgCENm
zcM=FYEkWd;+z>kH;*RamK(*G3kWrH6`f}gFgQv1X4t}{Fx_2~$VT2(lLOUq5_cbM7
z6ETqUd%`okDEF;=QtaN^=Fyu6pZTu}Tb!O*`y!;dCrK{o2Tus!B7MM``G+}%wE`#V
z>;(oQ`Eu$M3Z3SxzS^Z($;Swf*fSssN9o%;V8}LCrV)SP9U$(%$v#v`{<JNmtmRA~
zv)KzxpW#UT2hZGe-K`ZGdk1K&SVfqkR{d44G#?TZN8%wzM*z~F1_s`by5qe?J{B~a
zuTpL7CmpaYiCKD6TdbgWBE>+6DN6j;wf7YF9z4(%x}9w~2~qK%)e6rJMeIyru;N5U
zx(jz@3gEcMfkcqR5pKo+?d`3Z>o_%$KPfS7cC+6Fu32n6t<2D)Vk~g%tbP0T5bEV`
z{6X3T<bZB*56wi-1{G=9EqQzjy+OsrjNzoSozvc6MZa<7<Xn|KEyx6KvErbh9n7!|
zm?V!K+eyIZfYhsGgFJv9i`2KR$jJ2&#WDo5091ReKacUsKm`t$4V1Clh*So2ek*gI
z4=O7Yy+=kSIPuD%FmvqSDKy_TPS(7GZzSZ<8PpNOK7l+h58)Fph4F(S;Y2zGF;J)T
zjJc!@R`OfyN+9il{~DKfYh1k4&xHj^5e4;f{nR|?)RkYq&@cusE3-BQIr-}PIs~go
zss>hw!}Xm+eBLy$ELA{~Hrh&(8Akag!nzR6c)pmf#k~ZRCmc8IwDfkO<H=%4uxRqU
zm%-fF*gsXv%|*X0z#Z<5`J=j~cRHQ8czM~V$eTPrR66g8ZQRAd(RseC)lZ1(O?LT1
z=$6a)fRYu=euJI|7b)b)fDa7}a5^qm1Gj^vci_N=r}>rsvs)LXPjrfg)Q>_Hf#qbG
z*7<coD8tH|8v42?2eXM%nUf`U4UdmM$-5*c{d%syzaM8EFofM>@8qStZw7xMhsd2l
zb@iT?guTxo3E@f4OWV3olwiO&!ms@_d6=glI)L#1bEd>BKO~9(SPS}j%y*VSeW3bG
zO5wt{%O=zOa&kS{D<<MeWa=?vyB0h6%IT(#*1;|Xm$+3DnOo6D!}2rPNZQ~Qn`;mk
z!2o6WKx~O(td~AiL9h=tGHf`;#tZ|Oko6Y8S5Q{QLcp_)84(5?e6n@6?(|(`wQzk{
z7yVvXsCX_geUe088>f_;o5Y`3c;l?5@;jZNCpS?`<d{K_6lr(~0;wn4GiZ>2gM0;w
zwzk&R^eb;Kvf9aVGVrRp@E)e2rfzO)yR>P7LEt~GvYDisnjoYuoi$ZZQ1At`Zsv09
z`zI1qg%h_ipAlq5J$>>-CdEK^wV@#K&Yia>_u-N54{mdKQdH!)3Ag7}Ebb;7A*dat
zqDn3?c7~t{+29}AB3dX}sbP-5fsfY$WpSk)52c7&Jm`2rtQX#M7yFMI7d9zHj2307
zw>htYEe5XZ?~%5QhTYrEum})rJ=qQ^bn$ksMHzQ3gF?&CCpKt!cq{?{HDQpv-Td~s
z+4Ga4o|Vw*cw<&ADe=IggEw1QIlX=qW;Om_RhET1G`R_UXtepuC`d)xoQmiRsCktn
z2>@@C>B{Z8zZ0zn_yuhRea9b+Q+UN8k7eGDTk+VjuIJ~Qa7-fu0b3KU&e;o2_=pF4
zdLDF56Yjw+j>5Y3fNtb?!CtlWnU0<wjbr_42mF*X;i%Kh#srjZac<WYRe@uM1og{r
zTjj!D3z1)$l<vJQL*IqHI?mnw<zM|h9+(F)Vs3)>glroRz&ir7_JjL^MR3_WJPsh&
zOGr9>xgV+qkQ*@mD-!K$<V%_dnx{1-y>J{t&6U)G2Jwf#2V)qhmkv%bJx#3tuad>;
zBNqCLgYv3bTiSadtLJj2sHT>s>>DO*m6NQbljCZAHTSaRjM(ze-0qj33yzWzM);Ib
zXhB4tj}>n^usvyw4n7{P-sKH*Q+Mpvfw+AhzDdYCu${4hL}*sb1{4f@4XDDivf_%U
z2WOe>JdiO>m#X^YXw)&1o;9UYpKQ6%)rz&{q0a{Dxc0KyLIW`9@&fU>3gx9r`(+Jt
zb!-U5MB$YEMYq667c&XdxUB4emHi;aG50F2_W*SO-M>6|-&sjOAg7`tnc5$ARcK)(
zd&QJagAIWc+lPvUf3W`XV-ccH;;JwsmA<|{zCTB;CKga5kofgqeT$=xZ)p^P)zA=g
zIMxU<HG_%7x!G>D`e)xaKVGHbu=h9JkEw#}hbibc6m0ZQFmHi^p<XK<(-S^IHfg?t
zcl(wf?X$0EFbY6~Cvz~<t8Vitv;`b2obT@u2wgSk3mM2i%5~knH7q7?8tzWC?xyCU
zF9sW6?mR|1yBT}uRFI?C0fG7<VgtiBkOM)c#JhKYuK6eGH^7YMHi>Bj#BMto?H#f-
z8Ap2Qp|p$Ekw}EVR84UI`j$E(T>y&9rY5j-*2W1$e)joa$~FH$c;ldmu6Q4)<jJO<
zQ9E<YkQU+-tQnBgdPG7BAU~n=(GiM^_mg=vf9BZBSUGF&Ni=+6+PTM*oU~4Gm`zFd
zZA|R8z_tVh@g(ePy~IcWa6oFrVagaa>;RutlV;e+^b#<<0Qi9f!(au}zu}Lccs6Rq
zBa^+h?XCUq<RHm*6Swi^l-kzf&!3N7Bhp@|(?OB4j|H2MX0wiY43XWatr$}FMI
zz^6sHSH%(Is&sj_aGOGxU@*xg1>>megaaC@ADIckn5-W0{&kZ$2@zB0G{vit9i+~#
zke5c>IAiKbWARWCtonBcZ)Z6ISpgx96Lt*5Qxo8giKr)*6bRDnPkdijr*R_(Tf9SY
z5l95)`N*3$wZ#A<E15*L)z_c>t|I8b4@o$@Z7VmuU>1Q}D5EqA--bau1M#R%p(<#w
zQ}i6yEn=QM|359j*|WLzBDgWy4QsrWK7*Tt&cuXam(V&34-aHMo-XTAb*=KS>;SG>
znu1t?4PkQSH5(TZI)TJH_;-^%#y$dSJek{Bpc^5P8Qi*>^~^%5ZsFbOh3;RFyh2Dk
z{$b@&RTUQjc@BNHjfEu^3m*#!1b8MY7gz*acc<}D0YcW_K6B(A`@HJAyC3$@9}fJp
zJWVujl$R%=74j6=eB8}3+F}}vSi_KX!p8_+jyNcTlfi2SqzA^`{4Oktvi5f7j`|!k
z8j8gg6&3v{WYITo(os`Or5HTq$XCIk38Vt5hjYOQcvdZ>vBi1Ftc`x+h;$Pi#z=Ws
z*EGLIzaK#<vTy94rM3G>zq9aoxzU__8aUg%<&_nOLq{+W;n{IgN=?Yfn609ibavgk
zd5rne>pyhHNsp|I5cPn{+RdB|x#YP)Yy`ae!EFjYk#z*4|2LP46OTu9dHF#x3VZ?L
z#QRb&e|<V-6SQ$@z3&f%1UrqDOR%0{y(YvN)$TuN<ucplsnA0M3kR%c&$Dh>-=~;+
z@<7E;P2%$F<UMuKk8*o|7{X4aG?4TN*g&=sgMp=#tn8gO2RLOTC?^SgL~&)ViEw(A
zM7JpU-r79Ppr9J-qQi^v(3>`s?ZKESYuMP(&{kXa&K9+HvIIgzy#~uStd<*psY9_d
z{3$ytTf-xg_#IDKQ$9_6a&m=Jr$EHRINYy=h3EeAm>#3cTd~URoca8U?b6}1q!(S}
ziC+$e82YOi3%>w)0k-*^hNv^aqeh%10+cAjQud@P`!R)YI;WznYKjaT2G$`I#mFHT
z*~|<jbHCyb^LUta^o`9~$g8Sa+t|$4g^T$RTJ{O}ZcRw4ZGYF;h*{pbhWn1~$(J8I
z{NDZ*rdkZgCQ5YA@N}#}Ws5r1oV4s}^GCV4WCVCKKs}hu)%72ZMUbA%?=#-f0NWmZ
z?ndU9ZUS%^7XZ-v_JOC<&e9dSjSvgiz|k&-5QEpRRYTN^?VE|23AvrRjO0w;v)l9q
z6X2q(eC}xV+-b-A5dOCQg7+aXb0Rt&t3XfBgye<J9BnMoxt$BX#9c`=I-d%jgy`rn
znLXyTh=qj!#Gw?wz1lkV{9`WlSj9;x49DE>UtqCFxCs8+U?Yy5i^&!UU_E;%A2_es
zthAV8IV!C_j$3<Br4~IgsC@OtN^+@^HkKFDSH}tn_31SK2cb%KSKvad{g0xWK<s%$
zkHOw7|7U0FuOp>w;OctJ&6|ZbHP)i6jpX%r501?L2-dDsTd6&}MLx|z5w6dW=2Lq+
zi$Ex_t{$l4{I++kNwR`Q=y?<gp}mOKZl&s?5jTeLygP|e-uL<r9X-ml^u-9`tf!Z5
ziQe0nl)lApOY`<o$eUCD=%Q^I56GlbT<q<y0jer+TZ8O7Zr#MeK}fn4g{NA_aDIuO
zUec<xnqwrKu5iz;e!v87fm_u-c`d+0A)P2qprs&S`h>^{4lCQ<W#k_@f)M^@-B{bl
z0}S^@&J0}!5MRW=Z2j;@ldG3eWW!f%iOX9-8$WEe);fYj9lEy8)vIk%;bxQ{qFl;V
z7rIR>JH&e+UOwVV{;{)Dqsu#xY1Qv#@)5>`APa({>o0>r{;)a%;mh294x*Uu`K>Ac
zGqRj$5&)Zcdssj(!89kWZ4xy5@}0wN%%}6}manL2o350C0oOLgc#f+F_7ybuU;upf
zOd8+>>^@>hV8$Wq?fo1t5;~}n0G-x`EH`=v1^`12r73ts9ihbHQE*p(a8z-gd!ja(
zG`#;d*_dZ#(`<2ec3t*N6gZ73wkxz{&z~#wY8#UNWKkCyr0*Iv$h%)%{n<|&{Tk>z
zD((Nf)qik)RpIf~S+&yB1E+skn^zAc9547PzMHL9A^Gk&<+1c@%n1aE5Jo0<Dk(N`
zM$3_-5_xPp!ydhepAc%fyT_vEd%$t?ft=Za*Groo3zF6>EqQ(POB?mPewQ8afA3S4
z(x=vT>|{4YnH9C}_8b`H4%2n)%%VD!uCMX-kxWX)cY}9-g5}sLL_bH*9>!39wrDA$
zS=rcm(iY%zJITAnwo!6P5XJv~-CBw<u6{aAi~<z8?R<$|Wb@XK6Qiknd{<5|(k!;0
zVg3^JtS0Ag;P{v8`Dzq&=kaWVK3uZU!b*ljuxlh)pW2E8leQJjZwm&#>*kmwZV8m{
zkO2RpDmwN?-QnHZMN5e!Dc)1fG5aE|i;~RjD!%<>s8g(+gn=!&*<OHK3l<Tt6ZiN(
zKLe^iW%5wx!O<OV$IQ%_sf)kQ&hFv12hu;R?|fqkx<*CV9miz%n7=^ddRD(EQHqSr
zUj8Y7)B7bP9A#_pdol5Slxeyqjq0qY7Nys%DrpU7_)~6A`@jr-^3`RrW1<mZVPm0h
z#um{}l2C(MQ=}=2v3@N)xcJx2{T#Kqc<o)!nYCSkm8__BgA*vF(^PiXA%)oV&)J5m
z0$(^M>9x4nRnE#te0A4&gh$W*#XPd{-frqVYiqrE%Q=n!t2PvCw!Ql4ZP&kEeifkk
z9b^e2FAckJLt?Z;gu6rO8V-64ZmkRSuRg0{O@Sif@tOEj%dl}CJ$kgty6CfOlKz7j
zN&vUoa|>NH)rj*I6PqP%)x>E68~?JeG8kahv1^!VvFKnWM_I;|>Mok5wh&!G0b_Mu
ziL=;|&=uV{#$R$53rknho|{J<Y(FhCAIjsuLccFkm0q%SUoZzPrRS$L<xpzXq^X9%
z;5G4NEjGtf-vCV?67W#U7+-0q^PqPpWyjX@?^mPW^$kwN3~VW%K7HcbxB0tw;b5Y|
z&s@8i0KzWTunw)?>`FQ#D?gF2zzYE5=B@+n6`5G+NGhi2WHUBz&HNmBI{S@N8=7!u
z=jrlihlk~44Ux1sKT!6A7$A*n3R3HiPvx?wg0@eK38;+0PHSr$ToSZqw)aM4BnVNc
zyJwnm0hZ@?aUk>Xx7(F7Zxn0WsTRrOg7W|qC{A+i+STPGi&)K<FTHe>c^DqaAwLSf
zdxC+Xp;Y42Nd6hC7n}Y#8~V;&6~1Bl(t96APP<Ni7doa=+Z;ar;^N?_M59@y6@BfG
zU#M3||IDj@#f(kD8oT<8SNOBD49=-S(ZF0GZpWgSUc`(<yIV3JKYe=Vor-@6O|8vS
z?fz+P20!M_O&j61;AZ>B1qJC_@0;7~y+1wFq`eU0{CPt#Vx??DM&jq@4g<xwgoHQU
z_J0DYwr@|JJ7CB26(8`pTh?AvocHm$1XQH8zVKY(zJ$nR_z(|`q0rFK#igKY8Y%nm
zCY`GCl}hOvTSTcd8eY&XhwB-c0<f)u>lqrdO3lM2dx{LxkV~vY8eUf9;?S6of!W4W
zh5*&mskh)>X_{I>X|IVe(lumQBQtJ7J{qqpD<uWov%f2<LYJPcxnx-b`Ss+a4kowY
z8{VVI@lP33ulRt^$R}7zODB)U)*#KE-iIv(^q5r63`5G=bM?NdzpJYXj-+F&*B5ww
zM?#jW>A<@G=a-rj+$RoPpY;^{SKTjM_z{~lb|a@NFXH`TuHE1BDyfu`_v?rqV=nz)
zcWyNZNlAI&e0Q_8KP>l7X!MueQ1A_*za9r45Ad@_6IYUs5`|rPG+}FF>xUkhsjl>$
zJ@gy$YS#-F4&txJ{R8pIU$0U4k}rq+y-?bZTt!?Xe$61J!9NWT*C33_(RkmDXM?j!
z8Ag1Jm>_RQL1Kci7`%OU1`oS_{6e9Gf<kh$+*ex}^gMuLM%z-?bIokqq;E?hdDHMq
zy!xD(mUfliQ4?q%2WM7Rma)i3;CV62o_XL}?>`FAe~_T!Zq3ICFbH?nTC2RWGU|WY
zBJJTyg*U*Uu^$^lvY9N*2$t1X$~riX{G;v>IJED;8@TYVUw>*@_I;4<%EZXX>Sc`J
z0H*c^ohl@n_t&Eq-V`z#{gBENZW3I5PLD)HKnIyWl3FH+r9$5X1D|pIbY8hy&i4Ct
zh#rmn#eui4OOXGAdbP{36~fz(7%`L;&Np0?sGq3A3u*8yzDApzlq5dX!Q}!4B_-!g
z8;UakMJC<w!wFnI729~W<Ye-}>`o^zEX>;I7qjC;!>a02383anzRFRDG+oruNQhh&
z{3C^K@7M+?hKH9oNmmd`9E44bueeIG12#dG3E)94F2F|+{3CV=wIS2q`VWrgcQqGe
znU$xCzrknaS8Z)aiXfibw{N4`R!C^_FXe@$e{Ee@<8JEgWMOF#pWVk4C42+KJ_HD3
zi%2vC!|g|Z903*9MJEc)VF14TN>e-uHX<WKL;S#{{Wvdvj1_%dT7!(zRuVF<pIXP5
zCzfQrE3M9#4NQ3MW4=);oeM84659dd=DZ>-T&c#QPOR9AJeH~U(-es<)LZGQq58ti
z&jKR+RkI!)*ReddG<<(eQcB7crf|SvD26Pv1Z6DIS|=V;=DoQDsR_~mQVeub!@0N|
zY4!$tfHC~{E8TI(^*2|&HVA|-U0q&1Ow8?OZo0ziMcW%+VR_d$PuWVTw+rb>2<I0I
zTW%~{y~nxDQp#BeB@QaThsJg;9{By(e^bGcma=}dKH~TMaL`O&2?p$J69u2&-uPjl
zZ+U3`WOvwt&HmyNb{ggn>{80Eup#IowtRVR@8yopWoyC7n$}Y<u`N@P!%C}}9k<*)
zJ~btCn&5)|C#*O<=M52B93J`o#}D9Ys3q*5sFPrg(HVou7pm6gp|J&+x;pKp<6Wac
z<#6N%QUTpBD(b+ChMGK=q8(v%CN?$<d<cAPdWz4}e!0A+W((j}fWHwN1^x#B9tJ+K
zCq=ERul!mrD258klOldg{A4koghVWtdWKPX&{kmHH?|ahupKC#TUBJoaYDpcA|e6=
zRFEzWiAe|ltpwcp>-Qf&zEOhwg;e;r@^nU%E;wdd)Yd;qM0kIa^_6MmUerqgyrQIx
z7)<OtNlx<QYI<JD#cd*~jNIG-#K1kb7l?$yGY4Mn@IjBNU7956uHLss!c{7^F7};9
zE6{G$bvHIowe(p<O;hIE!n>H6$5D95i|is#-91ct`uf{T3PJFLz0OlILw6w{-RV1f
zzw|@iD`3fZ3QA&(2*9sAE3F<J1rv?u6BrQO@E`4AO2Tvl>kh2uPJ)oC;Xg5^(?`@F
zcEMeTmqAHsz>ycT00&)6jxaVVekWV}3D@#dAl7A5F*vVqFtM`c9eo7FznMr`zl%}6
z*QVhkc<<m+#XG>ssjqyBJVad*a-2hQv5hhT;kZFz(fjc$VTqXHo1b4=t}hTD=lKGE
zucO>5(p~J}_LG)Q;9!SVUsvuKw!4pvcpA=5W{H{JHcP|%KO<}^?PXxlYSD8f4G-+!
zH}HI+DGHiBgplH7g$nO;O;8Y2`EcyxbNI)$#{xyBrcN<U1C4>-i8L~lv_ofq@S>Q(
ziJD0s69j4F1o)2zXfADPB$<Kj++~PP|MROchzUcMcoNEKYyXAp;2;0OUsL27hiIv|
zYjL2;;1JrNL4G--#h4f|!NujRz=aPK?$W6}j6ms5zq%ZNZXE+&x?ue0IR}T$IiH#|
zsk^w;R2JXvy!>io;K6EE+H3l2Ra57c|L|w7zact$5M{jX>)Kaz$E(U(+HD^HJTN*6
ziCf5Tf;ZT~N)Q)EObsxx$XmC}ADM|K?H3fh_BqI7M_msgjqFJeKqr0s_T=Pb#rKDC
z(lMn~x{tmoWqIP1s*25JjT#R#?xubhTx8>25b)T<j7EUvH-I7)UkSEi)m|#YE&%HW
zZk)}5f<j~j@Lj}r=&+=sD!^DApsI&`u?-<}blUsbO$3<Tuc+{SIT(ZYL-Q=EVwzVG
z1~7i>z(o3`z$avc_RDXZ;aWxWvB&+hp7rv77xhIuLUn^DHI&yCMNZXDEfIG<V>f27
zT%VzbAj-qz>6dnxQz8_7u)?FhBXFg(bl|$5bosGsQ8yYM5vDk%9F-4XEXIm@@)g*j
zN1QBNTm`*9P_yLdZ@WY77-m+4$hX}mrVZV?1x*2Nn@TI|e@#oV+y~8%9`(efTV`o!
zddDaq=oL`5w|Q>TDc}c@D1diA@=0dDAOWWbt{vp1P9?(_Zo=I2<%^NO?V+ptMMafs
zI8Q<|1SX-*7KN`U{jkkD#(W$jsi~=k@+r_@_^iAH4W1!L8e0kCOh5zA98T2CcDir@
z(<iew<O={XpIvk$V7}7bZzjrmkc%F;yR`Hh*Jtl1JUyQype;G{;?j^{I*)VHUnMkX
zi6@ovew}fsVu)GRmP|2#;PenHV)SPA{yI?SB<uS5<t2arA>(T;H1Rw%X=K|hJC&XO
z4sUG?Bik{p5c<on&_n)Bz3>#eBzt`ypWo2aMAh7^9b1GRy9`#k`9c-7F^e`X-dCTE
zo@<Gd#*d|sa@qcG&f=Qdi8BG-8@JCd%W`tQf{MnLLd?KihUvkQbGi#DMNkFk>~a;Y
zU;e#2Y1i*+x>CB{(>~l|50kI*Wm}2cK#2=^9RA<oqhjXe4YF3=L-aG`X9XfC`qRYN
z-AfhE$oHADCkK0)U4?TI7VYVx3``vspjGsgtT)IGiSh?`)W4_rw(Ia<T;sGi)7tlR
zY#9Lkz|GyS&&VVCw)+3{>Q>PPS5zn@1SMx?2F5!SaNK+cl?9AtZYpo5)q=5lG&k!V
zHGGV5Eq~_?LlCs+#=uXA0@(hQu1h{XJ7t^zdQ8_pCf3Isz>Ya(Vl-3L1s-r{sP*p&
z@gy71<~^$CJcnFSI3PFHpP(y<#%F<yU|B;X;34|5`058;wK1eo^+)s~2^-6noE(Tv
zJl1_p_;;B<wZiVPoG~Y~Z5xu(y2I_Z<pKGg?Jqri!Tq#FDB~J!bX5@fVWnaSg8{n8
zJk6>+ySlc9JV*THv@w>dj~YsCMy5L!Hh0h(sEZ_ifvyHs-!e~$Noz3Q3JXVeOs%i2
zq3K4#;@S9#nm;|b7dw(f>XUo>NlNdV?0ID_K!`ddz(^IzBD!Z!IBhY3k0}brjJFcE
zVb>w1WK&JN90+{S<-Yu?IzJz&4?-|Z1LQ*=qd^`n8bo*_>(uHT;<8=jC7`qR^h_WZ
zMTs(wF<93ijAV`O_wYkH2>@Jq`A?2<Pz#b9b_woG?wB$*G8&j&nZ8^yzw<^8UIJ92
zUs5`atmDB@gRcVUELhXZ@4{cyQ5r(j<|-&S$*1*e+c&%3ij9pvBv3xsHny18INT`<
zSJm9q)ZrN)*Yd$e{&9B&WZ`s88|drX31-P?TDjs_j=6rg%lqopgTbKc{y(O^I~>cu
z5BoM+lAVz3N@bIjnGg~smF$(3>?B*rUa4#fkrYW*X35GbDuk@;O-5PodH<gGJ&xD$
z{PjC}3iow=zn{-Jfeo@nVw4(Lc4KaNoaC4h|LIjAxs=HEvRefZux6pex9(K3v!;>K
zKQLwR(w1%APvtwWa^}fRV<%=MXUi)e2kjMh8hgr6T;ZfMQka?;9|t0-`_?R2j^jmk
z_C1{X_&F3f1PsGQZtQ+?Hv9Sdzg-Z`;$CW8`#8tD=sA1m;jQ?M<cAM&^9|Wc;5RN%
z7qus1iR%BK-%df!g=eG`;beK8F)=<HX3B?|QvU$vJ|yc^{`4sjF<cFY&NwTdw%z+M
z%}9r0NcQftv^_wvWH%=?#?+4>S07<r$lS};dfzvTM}KZeKO)l#be4Exfczk9?pyBj
z5#=zUZkd!jNX~WzDXKI?)Q8yU89s<PH_qaMbP&j~)@=rn4DhUTioJ}vQFO;ZR{cQX
z<`?Ti*?(Un&3lSqQh{9A87n1TeVmxk3c67pEI5!M+AzF;&d6?&)#sX45E0gzU^PLp
zRf+2oH3|4I458r7klwmf!GC}e=deVSG84lwA7O5wCOBJci_2cT2-4^BlEKP-_4@S~
znSRKK7hKCRrazS6iB^6hXy|49<ZYZ^X6BK0L#5qRR01bXECom4(?>fLPqZEZ%7W`?
zhoegFn2_>V6S{KKUv7v#{-rxPox23iSr_3&SD?*AxH<Hzc>RY3vW&_~gS^gyEa1T5
zN*(?EvM=hcKCd+OQF1QX+~1{Ng5;4_?E`^nyg=-ZcnCsGhW89D0oK+b+Ae^71xtTF
z?6EDoJ?k$VtqfGV2zG1)CSgf~Q#WPi^;S>7YXO?RfH1;5vlyXz#syV-gft!!baE7H
z^Zll39$pACJj%i0qw?J}!5EX-)G`>_n65LLv{(y}zlxFpgn!~N!pnys1RQXhoj<Ul
zh$TP<h2Il|E6+7?o#D<=nbgO-O_#6y!>*tkq$<8W&$KZJ_yAhp;LP6T^6R7!Rx5EU
z6O)fwKdwXi3})low@2E1N5;NOT{I$=k_;m&E>Z0Wm&U^h$kOrYsuh`G=+wBtfge39
zE0Ez1nNgvRXPpgLnxWhyrH__+&sP}83JcRBVMe08+`#Vq`CZ*SbngJ6e_HXPeSHC0
z|2KaTf)u!l>O-Za0)l^RJOGpG2~y#iqlY6q*9}wsN%w{7vZubXwjWPa)zoplYN_#l
z{b`a_t1#VL8xhVZHe&NyGmdRqo?3R@bkV!)|CUwnYDkW%!>heyrcWS{fJB#7)(cbz
zqJvt6*Cu);OgY6yue7^xosM_%r?Izh-ueH(XzWSqW0T)=5YxkWc&M+;zCQ9zHhE&x
zoBZAUe&dJoi{8D{!$}VsKuW3{t+xXzUCG*yb_ee!ygMSbCS%aMS0>dP-nQn=2>mNp
zmby$MF%nL}D1itu$Q2*}e%NT{boWovcc1eG-R01_5vBiFo`^RmsLvQABtUGKDkuLD
zyb|&j*eaM0GNy{_^L=_Aur|;1$n+n)vZ>a;&_fZ?G~#9{`bjk0c;DmU5sEmz2;Ar%
z@5!Hkw`RZhI~rtP2}Bqes^Qvz#9@1D6Vp6K(&iW1ivp@rr^GJeY@S$lL)zh!C*s3G
z23Y2Vg%NC`qIL<QX)y0nkzE1EEC!c6O8#a7J)G)L{5Z7Wq>)j~>cWYDo%eyi|L>8J
z<e6etX}51C`2_7En|M8e;+`3Z_A_!UK`I@%?!D_`2jsKUq?~wCaW5{G3ZbL}ad~Ei
zI*pzWN(z+)F`~mSjLbTt<!TsqVAoxDg=OJ<&dZmOua$A5I~2IX!yNPa4-WazA0T%&
zQv<zvXMn?WzDf6Fdd?h`O!wv1`!^%ZFT%BPal>?Xa`+7MU4{=Mj`=gk;QIvR^6-K{
zH=+;_om%0w`42FuUH*Jqu_beSCEHs^yvHsxhtrP!?W&5a3Xtdgx-Eb1+>DE)@D!i^
zdyqcSiy>h*>IdyV)z;!=O4AVPSD%)o2r$75-+Wp|CilBFY{$5q|7%eN{(~@GL^@*C
zRR~PPj2;;YkYcBwv881L4ij0~e*75WN_eqccB4=mZz=*$q{kz_RtwOuYr{UjP!Ub`
zQEhC&6<TU2x6QKt6ZiB=X}tU|--Hu8786s0)IzWck}9CuYZ}4SA;U!!sR9E?kG`CO
zvdFSQ^e{us(`#GYXRDzSpB*=^hJW?3Dw0_~y{lm+QNsq7<OB56g;vny$`Sy-pT`Tn
z*%)%hHuc%Ao{E&)K>ifuTi))>Klskv{x@gv=?!C5zmI$F&eZQ-kyLd*rOI^!wmu9Z
zSK_hia>stxwFe!aNxU>e_3H;$sz)4Y`QKpNg+7=o8se(trOcEWY2Vl35VFACgNyyK
zYN@hCgp&__HKaoS`)Z|zcWnp*>6NrMQ-VRp-BI!*C2tuF#Z8R9@x?T@BZbA(^rpxS
zC#MUyPi?jvc<6-AJa%<Gny?eDSns98e)z*&SLQyzJ+=PxR^E-*Ke{gIJq(?8?P9%T
zl?6*AVxTTx{>r-ieXLXv2N}_eg&@^FTk5@XFIcZhzGg|4a2}89nL*%`aoa1c<0$&5
z36hg?YNC7=!9~(*%W4~_z_qYPbOX`gI51wvdLJfHA2Up?nW!UrJ<0itdw|fa!b}I-
zT&!Ki@)Moc5xYOJ=T^Ut9sW$Guq)k^eAAB`q(5@$IZR#SP5OQpibDBiUT}l&32wq}
z&2IqhRiC3g!?CO{J|6loM1^q>R20r?#V@fNxj)0%@JRJJNZQp=dsnFxz=V$18b%g@
z#dhcJjcvL!-6f26Ha$I$qC4C;@PoQ9Ji8Pne+cIgkMi+j$0mj}uT~h?!7-_sZI+2C
znb<>89}Mq|8?-QWQPD|B&EI^O4;}>2DYQh($<H57&X`{n6fA9ay;23-N2N!p#uqM3
zt2_2y?7+Ha!yoto202mD0+f+>HvFBGVYO6L6irzpZ<~8yMFE5Xxl&^`A8b1$`|&Fe
zZky=o547^g^0oSnBy&nSYGpXB<ErD1;cS(WNs&@*_&TuQ8aDHQoQ!5Ubo>NyGeSS`
z2P3H6F+1?EL|5zsjLOHSb|fZx2LkOunjwM|U$EnYE}B|K>d2cnm(Z)FClHc$<mgd|
zqHygM>ddUImDCLKB6h5223tR9r13{)k%09ZX;zq*KK!T_AZKU#uY?b89fUK-AHVGh
z{4br9g>q-G0?Z8%VQXr(OLZQj*$sdvs3Wwy5Caud@{3c5NJDHwY6Y6)@&8s>CnsKs
zq%pU}6VYl)+9k#R6{ZI>6VYL1{DW4{FEJ?ki$QQEv#CtUovkG9+1a&yIE|0_jCg8z
zd?M;$i1G<9vWMCNmmafuyB`qQV^DVJqm?@=Pe5xJy(glgr9!-hBk~^KAqaW~um5^b
zAG$AeVJydC>L#xtd4f{?o2=|?u#y%xZzlI-dc|~nA8`aC3|Ago<f%5%5I?_`doNt7
z!4CZIi(~*8ExCQ$$*A?eUOfAUf88QHg$y)XOB{E0ZEYVKP;i47%uAmCD!r4<P+LzA
zZw7Uqc0Os=kR^~Bko%2n5AThCc?O&#nB4WZ600|5+xE`3O_uZ9yEL}xwoF)MJk|<3
z4b~q>rgcoP-TO^jVNk_G=FTqH)FH9Oq?7tV`ue$sdWckIHve2n$V68%A|hR&21Nd9
zAE8_<!lkwRW0C@aqp+|m%J)TmnT5g2i+c+8;RoQ!t4dEFMii6BQ1DS`TzkHJkuzvW
zw*B-V&4%*_-$zebr4iXEhG2jjz|W%|zlqT$z-I96n-;-FFqAqYD51|bi+3_DH>EZr
za@dFol4%K6g}6qvLZ@%16%@d-0w6F|IIIbxxT`=K<v3`7V3IN6hGb?Y;b07f0nYis
zh#(IFh@-jBH`LKX(1Wtl(U_m#fV)Bm+5Q*d;1EV$5qS-`4PwcoVpg~#W!lrfTT9yy
z$U(ZfUcP@fIkqNz=}mL)s#jD1+t+h)=p1|;aQ>A$PiP9REmw4P_@oHqjZfY9eRQ?o
zdwb(tV~~gg+wF4}wPB}(Q-eQ6pW|3pq~cy;MX?(YX|n1Drccg_Td;4Ml~8jhUS?2K
z)y9sAhyX~HLFybSesbCw__U2Uo)%h*@|r<ZPia6F6C90`22qA+mPU#zq&a4$I8ol|
z+%`5w$j#i`oUHTsB>*7zckCs0R?r11|Im1F3A@R^X?Jt;Q7AQ-LUplIBSWiodE9F+
z_Ey@QyQoC^O3IATPedT~*+Rw35^fH#I%NuUFxp%}rfZQM4pK<Nyh8w1Os@EkZ$Ge1
z8XA<KHB4Yk>3+{ZFxR3#%{)qW<8fqF)P}KmVq?Dyndhj``@ee5zbQ9d@)S}tZ{<;l
zg_oPHwY|OER6qc}!E-*DF{w-R!R<M}^Ml!j10(%|Z{>d<G4Yf!SmVe4)}(-Kn{LUD
zd&F71KiQbO3$;+C56;w|u09!hTEeSD`}L187?jc7J2gITU)Be3hq(SA(?KBh-QoXH
z;d4P~qaoxtnQu9dkX~YdyEI6T+$Rk+S4ppRi|H)RVe`G$1J;!&$i@h$KJ<}*zzZxN
zFa*IlQMEo>M!@VRYp}BX`4~kf|2ZGoA}K#0%}*XbPIizOWc_dmQIsiPE%lQ9I_G=_
zz7Yxt-o2HyHypYa1@Zl-WBJF(>A^!+J@Md&Kf7$m!O!zw_8AH)+L!pmyLm&th^(p9
zHKy3#YZ2oaRsbCd*ilF=ZEd}<v-a8EHRsFK4_ULfytwv?s{Z|aV62c;9sd-8LxxhY
zFJzgT$Qz<aVBf@f!1>LRRgGq7e7Ci={ek4B3K@ug|ILOfq``JqVIcTeHF(7(THfvL
zXhY6l68R2d(j?lhhR4QE1)gfPEnfZehtSZ{BHd$WWovun^R2UINtmTu{!HoX9Uei5
z%GIlnujSm#G&48<$4Zls2_bWQ>qX?_>FB5?^xGD%<I_TrJYjhJf2hl%16f!^1TdZV
zdIBzIqcJRjR!w@n8UavpW61f8ijyT3HXmE$qUU^9Wxaq08W)P_C|#Rx&kWuU9<W(H
zRwt8n8Hd8WB+y`5R3|ce{jFE(Wte&!rj}8%0<Y0fGQ3aRs}`CLA*>W3X+buOh(`c8
z0~cjXqrzo|)7OCWA(ef`B{DobT99ihH6a0$2l_p5tZ?{-Km*Hk@SyH{=ZT+%w@|41
z@>)(L>uGuGZn|?q!kqgL9EcIWs;F2CkVcUUy{s`E6VP9Pp=o}Gf<d9g797LV=VHO#
zT-E|DnC?pwCrLUe2?f{X=bHPdso7<{JmA!9&J0mV!&XZi4_;xI$m|qPq-BeYO-|NF
z2knm^nU{FuM5Va7!KcM0(E&p5NaVsV1K&DAK$}G+BpTGu0y^is7z$87?Rhe7+UGat
z(}czz*AM6GycUUX9<w^}SQS&8JME~=f|d5ea8Smpv{ar{wNi=ckdpygE|f0u|Ng`N
zJ&Bx@d#vmd-QW`G;zxs$iZ0EFsV9F0-sbPVxasOeP3);4W(X{G7yXs{T-&m8tf$Xb
zj0LkoR%T|i`O;s0=>`X3F!K@;UQZ!I6FGX6_!`2g`mSdN_yFp(@i)LAwuS)K*3}>X
zkzX5Q!^>`msCGr(H_QCZR(zniV)46cUCE_a`u;a>MD3n{H5~b^;SmuKrp4T~3ao*i
zxd`IiPBW3`O2h4>kIdz&myjCK4>tuCwNit;wvhTe7cADEEdS+I!CE5-ArkW`*P_{j
zi7haU3zJYs{`$Snvd2hYMx5c}gmY0*(Sy$mvZtOcou;e|8_jZ<E1ahvZ1L;*S2U-2
z{wIl%+u@f;?ZvfHOf?wW_MzJCR*K`mZ0Dt~l-XKtBag4cfrp~4x*3=Lw^aM7hki8W
z=kM12oWIoOI&D7Bi=9(PV_&ZR)9QA$61`jm9Eb#LuGoqv{`HW_ek2~aC(J&dy74!w
zQ3r4U&f4b$w8b@l?T4dp)};)~bE`NRta=as41oiFDEc}-KYH94YP<uN_n$yGCZdds
z{uM$w$iCb(;{xBb=wvL)BCsC^|GSy5jT`pDH^HPc)I<`pY+9t~A5b*Bolr)pyk+b-
zi(jsIg%qS7^#N@lphr(<p*6d;74CNUN>1x8@Aat}1h}&FN7uv2V~C>d_6>HAk0Tz=
zc|k$DQ`63V;!^6sM|+KzLG7n#cB`Vf=@yVCltdAcRpD|#;Czfre?0&w!L7rmUHzw4
z^xA7c{HUBYC*-R>|A)l|4s4h<Ko$ahKx&vaANK1bqBz0fcE(u@f(RemKs5=Rx+rFV
zIvNc@ugse(aUw-&8LtQ++>E||f4VR2_Mg9L$dqqui)1~s;v67POHV(%;EJoOW5UMP
zHf4+gs~@WEUtK%VW3EuwANBS&h_!}z8{GfhgHP}ak|90bcr-34=}+V7xbSXPqu=kj
z0~|fsN;0HgYPc+fMP0q9p=u_|z8v}r0j}iLQ@eyv@|x~%Pp~|6|L&6`x0eV6kPebm
zF*8#Wf$F5y7h{{tzqO21XD@{IGde{knfB-5A%c6FFuwfH&VfwAi-Rb$si%&{&W$Gw
zYVhAY11;NuTL+$P$a>`OkKK<xfsM6#+1yvJr22arhy&mPI~BB!;o-~e<0;1?e^<#?
zTin_GXy|$WvlWMOuU#^0^em|#TVk=*Nh7T+qn@=I^xGH2P#p?8<o$7QyDrDOI?%f=
z_$WXV*c$t{w@&%&zajeQC)cZnohZp9Srm7tLP*nly<A0=pycO0-Zdr!nmzLqo+ZyH
zNwx?yY(BC!)e&W!w1dlJ5+6d|Gsjiy2FhLj*8aTmWwJIO0=~*d9PcU8tIpNU8GhuJ
zbQsIw-K76@nlfM81F#DyySeUydNfez1nu&2(;2))=*;`bKQ*v06yH{v5=Xm>pjIzk
zw%q_Gvcf<!47<2xT?CotFp1B1>zjcZ2F~`RUCzp}PdcY=iUgT|vMyX%UA@9kNTkhl
zWP^9^kh{z<@d;ZIx8Df#&J&|$yl;ADKz!hXHOmBR_4kngcVDs^`ISqTzM#@MC`U8>
zD|nza%AN3I3Z6J&dVLkzXNVz}f~6V$Yb8UEqHG|Q1N1&~@sOWGhW!Uc0G03`5~VE=
z-6Y?(n00mtQj2dp1Ph|4?2hV6&I0Km&&+jg)A#|&BWynJRFDmGi5H62%euOWJu?_V
zaE<+z5F&X<R8W-T0r>n`^`RLPW+!`zhT%3d5%}j((G&f*JMpa4J&X!!JBNQ&xWfaY
z{D%L(Cf2W0%P_rXoamo%>HP8II70|H&*C0pNES$PlUj;rmn@5W@GIyMIwd0FI6rWf
z{W*`cbTUIw1&x?cw6d0-9_3TaAK!FLK@wnPb16%18>2?y;q}+%{;0>L?EdwumC+Zv
zN@kL`IXO)h$MUsV>FLk4^O2PF*`{WELNVpyF450sw&qSg(K%t{>WIo*sa0-ODk6xd
zM>J(f3Qe+bXC%MYQX6e+Zsz0V71CKK@HUy(a(1&8(@c9RKD7CgnNh5J{-+l~SxwEk
zbm60|IlHhiL6P&Y^{8DKwVwicLATWA9SAi+vy7pqrLWY<!qjxw!(VR2pn2!I4tVg4
z#!t4l9PFFvbAy{dES&otiF!|<)Gq_p{>VHUljpkc6Ijl((Lc8kxDS&cF?m!fu<rkA
zE<_<6XZDG$@{g@Me{yYNxZ$5PLzUdtcFhHM&Vk_>NrxRLx(`=VZ+nszJ*pXTtbhxG
zfSHU~uD)7RHTU;;YYNTrdZ((o{h?JaEf1%ZN=Xrv6$r2(q`ye!H><V^^7z3lKSGG2
z@%^;BKa%3gLgMmMt8%Y_oMT7b7Gmm!MyfGASg74pgK!U)RgBtd;vTM)Z5|I+Up_s_
zDJ{K;uv*FdM52Oxt>s_*&8mJq3bp{U*Yin}+HbmiZoE8zx8&g;I$GMZ)&&}=7G`Fj
zK;CmEDZDRH9^|6&{9-9~COLu?3)HvMpH-8k?qTZ&EtGPb_adO)J<oKI_zr|3#FvDZ
zkFQ+&BQ<iVwl>$9X_M=R`2neo{e!azu&A2GUF_|!LY7+pTVIC-vSF5=>(>09Di&tu
z|9N<UKTps>uBVM&C}>jdzV`zW*$+$5LRtT&05|tACV_iMwL@M@OV#$~9D)HiVF|fc
zl<yDQ_jDrv#H-YW!R3m-6_xC9j(YwtUgWJ$FrVjByqsZsc>M}GUkkcnuss%{dhz06
z{!<}omDV2v{G)#Akop48C(7utt)Zok^X-$435ZhBABgHpK0X__EzID^WW|nU_WRxc
z#3Fb=P$>fx{691IWj#H$qEzxh3iA6X8U)z{((wEDLdOwRC|RM~pY#=$gy{?6DxR%T
zj~+2-iZ9B4sfOJQ8N(_QB1I;@=jKvlV*IX9)MJ4fJywZPh1j!n@nXL2D0B%RGR?eE
z+T!_1oM0A4<+Ok8TQ<eMeTUOkM!SEe_K?)^<QC|*Vw}sc{l_=d@i0DjRVYB+qQkR|
zH>}TX>NO~$L)_ZS*Ebe#Y&acYb3Jf{icm6lds?<H@8+AK1KS_{NdVqJG53sjGQMqo
zg>zAHp58aJ%1tmXqHj;uUWk*V#m?t-BF1JIp&#{t?d}5f2DFV_wBIW|c1LRxTN}cR
zvnZ#Xkh)1r66WONkVK}pPlzglofYUPl4l+T&3_Z*NN}NE>-fI*c8@+8S=rsW%Eiwo
z+Uj>Y5?`l{OC>n^i|zWi3?47Jp4zERc1|T|*G%n#ErZ%p(#BtwX^Hz7wZMfyuuIVW
z9L+Exc~EiCcl+bmQMnF@(`CFhJS45Oa&0KXfer>PfGCt3=b;#o+(=n^ipxyOyvQzT
z@VZ_FxrS$mpt@Z3`A*)1opK$-RELo#y5_pZkSJs2%hAmK+0%3JNDM}qh6baZ#Y5jX
z#sl^g@Ui*N%c(KpwG!DaK>ZSf9UdFte^`eAXhCL(DiogY^+Yw;B3>8FSg=|Vk)r+3
zj*|f!o|~OzV`1SscUMqJVpkkBMsb4j_$B-$HU&sBc&@3UdN=9&Ka9fo=Sh%iMt52<
zt(4>w#@6bzz3i|*;|zY=O<4OcqL`aoqwFx~8g{4zqf0RU1eIVk1MTQ(W{Ob<PiMY+
zu{0anqxK%lubcgisSIB-fv&>Ddx#nEA<D<5dx|x9t4}t);i30nOW65lcsIf!0Lc?|
zxTV}`SW7TWIy*Z<H;U*Fq>NZva-=Y2?uyqJ46N2_G|@<s88P`#zqdA`Zz)&|Iy@t{
z#$zD~Nl6I$uj-t-%F6&;_|s3wmDR4j=$zV55dfV=gm6Npq@*ND`ml!J=0sY{2cxIF
zs3b&|RBRKn)f?7g;!=^cE_31pJjhW>(W=jXVlRf000u{_P$nYr>PZrpFI|$;u_d^<
zxq)4W;PaZUE<QSFyz$q<Oa&M*Six+A(ZLUR>*o3@5Ul(9fse<D1#ZydF(@YYyBQ&v
zG9fMw+6n~6n*C-a{N}h-NQ_a-*M_iW)QTPghO<z^033&^mU{>nsxTu_9Xcds8Wa-3
zb+e~IFb$n}*G^<JQ)2gr%?T3_jzE{PF{Ur);<5<nZHdc50S2)vxjq^x=0n<C2gUnX
z?$m`kL@)!S*4Ix)^jvc@RzFy))`$F8L-Rsj07>tfUOAZZagz0w!R~nWpMeW=>0fkd
zSXn&~J01W-y!YlZK<6KQd4tI{+NqI2a@x~tZ>=7%7!g(qt1ob$JQi%_3Lzt)h)L%&
z*-Qr+xlgi~A6z+^4t?vlD;l?dmH!PnksIee7f0r*6!*c!tzxV9_+H12D5BgSZ!IX*
zKW-IG1vJcJHCY~P;*STsWj;X|c$x&tAFSDuz^+CR@J4h>?K(ok>@TYyP<U_m!)F=+
zr>F*&H`nUdY4*-9oy_7tyn6033sp)6v{%ABk6RYS57FO$XXzX{Xn*kMBkci6^8<d?
z(=sF!Pf1*gKZbql?DXDPsE0=Bw<6?Dg1SZ1Xb}J_1%Rs0^ap(fZ&D`h7qMSCq&`;*
zUdVstBnXYHS&IiNIO2J>`S~tby2NpGM|!$NfoIgsnF9CH8G(UE!n590)m=O&J;L18
z*o;W}V#Js&Pj&XAeGlRtXrHmj0y9MT6M6vpO6Tk)(C->q4|xy^8yga3&m_;<<jCoB
z*i#9KL*9T?^go?EhY$Y^E3@eM`BSyS8G@LO4lxZ_+0-Lkpb(0z2O-39t_bhY*|Q%`
z^=!=Tftm)*XPFvUcfj+vk8J=~v$M1`dat^)v=p3x&Lc>XJRal&91=9FO!E8-_X^I~
z=-KNDnT?zE5GUX?;p3Yw`*jxYuw4N5Sg3aeMRw2i2EV#OW&$v$-!P&@BhAzG5BdR0
zha)621rg&<RNaB}t*Pne41`}UjPT%!=hSpnqYbI=Ku?R5RODtWz|1ic>2x8vZ`?)y
zt|DmZ`*%f!AXs!F>*<-9t;7=#QJqJ|1-_6mrkRaG6EzhTW}qDXKzNaUg(!u0<}C?$
zGfbSJwKXp&O-~0E>G$qlR}Z9Mv}|k!7?-=clsn$_*&_ME+r`BN!$9<D$W@_y&iQH?
z6eWtV+~OWYa{T=A1!3=4F`>W5w1fddjstIO#x-We%RDzBhIy2IYA5nE;?rKB;3pw7
zn3{4-g>3l0HaUzMSRZj=($X3pX1hd`XuZ2TXMjuivX+HKmi)80$SYDvw?R6IqvKmZ
zB75jz&_e(u_q{$e_JGU_8;QUj{q5(^<I&3S+xkF$uoCqOwmiJq37NQs+ax}k7wuLM
z>4QqOACWRXjnu{6#HJ_^a;Gmhase{2E<D3ZwP*+?f%`AI<x&=W)IchhW8zo%ansHP
z7#di0t>ZW!F)6^tS&R6{)#9#hnK#&2`?pq#GhV-S7_I}Zb?TREdVYVG>*qtO<L7w|
z{i8be-|Jx5S|=lD7h3OkQcLkzR6*%p(t}v9z@RI^8QzsU^JeOQ+#N@>;0e5<hy^VW
zy~{7gj*$X6PT#Fh#;eKfdBMu+RO5{@>DE<oT)j!$7=4gGurUlqd9g{*8%5TjO@Jqe
zjvf$38P-zEsT{4BH*aW5Ubq@Sd&uP!$H|k+NUr{;UX(~Y4g7`~a9+GZg{=SZ()#5D
z5^rHwhL5C|QbIG7r){ghs_PX~E_UqYnX^)8V}j}q;W>~Qw{<p4y(Ft{WqEPrY==be
zgGD{^f?p#_cS<I#UW5}6nnKJX)zzfA*pXNHZxU~AcE`j<t#a^vZSvP2x_f$buU^I4
zCZDYZti$Wo-s=o!UEZtBkDu?l!^$wf#<<q@Cx}gJxNvj#?%iFuJN_+Cd2cPHj*X6b
z)ikF8xxichswDoRQH$SN6@|i%;n-UXZThZ@SBO&W5c`cmiVf>S0w?@?sSj~GU%xvC
zB*DOd%^@Dk3mB#a*P-F6q5{bJ@US7~8yI$3Uv9?)Iq3&QmIgE<fss|<`pRmX#ZCnh
z5RQqkdxHG@$^7B=c<@R~Z*b7?L8TRT?qxUSzJ1Xj)-l+?-Xjn@h1dhLcXw1&_GCMG
z`9i#dQi^8E)hCdfUC&#IZpZHq$%`t*v2q+B;+chSO)mdKVAX_T6||n+vD;8QftSFT
z+9mxHZ~KYsxsRGG+Vr9OFNs2-1OVOerV)>Ib-pvwJ=&vzCqw6da8go*3*30?|8*xA
zIE)g2J#h;o=aoOE(ZlR0L<8bD^t!t`RAi2SRc~O(>pT&y+@<v7^t9m;ZLt7vXMoo6
zn;T+gHShrS%$Uz9W9P;*uAvcGGidZ^58MvD8$fi>85kZC(rzh+zspQSn2dqoTJh_@
z3XgImX<(#=LQf<)(+VLaKw3e3$NBEYgnTC17Lygqaadi#m0+N_p{K`3v-_L%GO|^0
zAfbC#J&Vi;Qm}fWhf`l5_Ja`<GqZ}iI_g)<Y{(_&e@rc70*fIh9i2j}0MN#($M<*N
z1T~5uiK~0{L24@df<7ElZ*J?F<abRiLp@E$Z6(BH-n^RP5CEdlNGKySQ=~l)@oC2&
zV;ByKmNCCost27t0HTJo2+vg2(6Ep}vk6AL6}Jk3*wEwzA#Mgml$jEYUd{YxX1LB3
zjik4%j`&B9fGMFL0tT0OPN;dOIo3(ZX;@g$Qx;dh2|E`gK=G-MXE<xJb(}5!_@7R0
z#Yqpf)t<FKR}XjTJ-Fb=v2<>Z2^2QyQ%vo_5fM0Z@wO5>wvqRQe67$>SmEDq{hK-k
zv&Ii9RDvT;7C;qHDhy#?Et9@<SK54(uk9QOKlpDU)ce`>01(86TZ^%{32ciYX!J%9
zrZ8vMa%aakkq~(=5wLQ1<X>Nlef&6jqM*+hL#UK=w%A4ZnPVCm=;$2lqC;6(Z6tO9
zkE;EQbENXl)U|d}ZX(Zu1dqJ(#m`7eAVDxaQ33;W<Vv;{L=PFf<6pkeEG$R1r6lCE
zlMzm3Jo@iADSMDPVUg;|Se<^V<*AYW)eynN`2~k^cP8&%=bz^faT93pgg{JzSTEuG
zN%6nT^x6J|k@#HVWo<9{Ts-viIgr~ON#ivU+;7fsfFG&D%RgqXN7NmGuYa!Kzn)vu
zcFpUm_$wy{-Tu00sv7P{sYTRPg9HV<owt5)%YMhTF}WjW>vtP$(e2V9@!5GiVZLL(
z=qr!0%LE`ghVU1#)>~s!g(L^tArjD#q6e5AH5lT_<_LVl`ljJ^zlnmz_5IQM;o71@
zgz7QQIVx?9eP!jZXxcU>bM(pH7z^9JC*NL{0I`ZPTYXFs?ChyYRzjoi|DP5hsrT0}
z8K}IKN*|t9aXT3OiGf1#`t?}NY@)r{{pr72((chvF{a6$THE3n!zY<msJlKdbRBcQ
z4=h`!`Aj+>m(9>jzQoJpKt%mBZn)?Bv%l1OIXP*a83Tb9uFQP*M{pdXDudn*^8#vb
z&bk$&L>$XNw*^aTn<4COx~I+S+3xSJd<Oz#LO27v`2msj)j7!66s>p@CVqzR`H)Fh
z?i6QhW7FK!bU|GmFl~y)j!$uMOce&~G&I!=9FLkt&_SA&+4{#{7^VT!zT~~Cy$P*<
zvP8L$3%R4ltlU6wn4T2rwMf2)M+n-M1x^wUeJ%)}&HmV1T8@K9LBur@RUrMwc!Ag@
zsJMdO!wdyq8~84)2h1m!d~l|Ki)?Og&dn8ADZ={$-6IrC@NuA{5fL|TAhs^V3ZSnX
zvpvoOpl9G(a7sfAXiE(1KwJ%~#;|ST3&0o*dss%eEJS1(FLq#kz`g)hwYihFa00ro
zvA$hTl9M4y#pw_JrR%RhE_Hl&M`BbsXfT3<R(aSjaSGQ2{vDR^Oz7zHX;Au#P^X9V
zm3eu<3`6_eARNMv3DFBINF$CnUSESXiH%KN<~i^2BS)07wQwlGV6l2hw2q|CQar2z
z(RRQJu{WaN(Do4ie7pEcX~dd`myyv^oz1IS@3r{=Y#z1XAfU<_8JAnZaCAaqZr*!*
z)XWt%)c6(dA9P)!%1C}FiK*eXYVR5YF$fTfZ`jgP)ZqTYm(w&K0azab0(5jJs*QxC
zAO@)L^Si!vYN&?hKuEp{r4@lgKw$Q5lYl!&MSL7d>PM}_!DNtliN0F;(KNqdiv==H
z?MVAt{0vpi*wUDl7IG?i?B(-1+pegL3~=aq%st2BMA-V*Sw$28xRl*Cr8OwuFS+G^
z)Z2GR42?i=gKn<(Z+ra@;zIQSHp*$2GRSV>|AYCn(eFu`ea3K(@SKdR)$|!E0yH-S
zTnYWI!{Nl5D`fFrN7n{a2BSAl{&&Lo4Tk}whG8s7?p54#$1jB!NS<b{zYAVZ_$nKL
z%2QyW?K|eZ_uIEU(pmM|uXY92*b+!*p=s(1E~Xly793m^G<HAyiYh3;{yowchzZ)w
zMbY>rvwLp{rv{#yt#0e|;HSM=H<VoV=FBdo^aU{c8%>5=@ZY8j8&64UI|wdrvwN**
zuv+5&JiM^l<C1i3EbLN`-+|TpX)h2s(NaW$%5da-6SHJeq}{Os!SHtI5bQ78_(c)x
z)mqo;N+3GL6Kc%wwJ70s)lj1|&c4a%#Vo<+@}bNmhRZArgIU>z{z>Fg3r>Wt!dnMu
zPxH{B1Df?>hni`%Z85^Z{_Aev%K>E;9;!imu=73NLrHRXGMxj9o6Sn*qr#rh3P}yp
zCxR86nnk%WF=v?OBk+}%;pKO0M@@ac!9ZLsHp^&zMh{fdYp>I+5eQ*`2*r^Sh7v@A
z)6>u(1PF?NiEJ}-c=h0)I;OiRlGuXd2g}~{FRoI(O7j*L_06Gyl5vi~T+xVcoHS)c
zYDaV{-0mPN(BqpR;nR3c&=~@l!rp*SD18s!RuQUmZs#>gyV=pvfz~DH2-Oe2#$zjN
zPE5%JW`HRh(gJ&k8t_O&Df8g-LAE|#&}Pdpj9bVKP65vdPaGbRuw|my6>A4iYkqNH
z@1(xKb<os*@32zUBQ^^EDp)b1t|=GLzucdL5P<3HV-5_8)ydWZ;`DG$CiVVR2F2w+
ze^>#^^le<>WxxcUA<qNxEz)*8=CF=vYC?Vw<+}=}7%7Soj~`Ft4Y3gw{WTI6b>A3>
z(DX;0j0#Sg-KcqSeio#Bt9k!f0qF;rbf94mj7}e|KDr~C-)B&ZS!iX1==3HRN}URQ
z5!dW3%|^Xm47I}i<@9B@O&c#a$0D#qm<C9wd+gSAHo5pN4Lt7mL*MRf-|u&+N2lwQ
zu#pk_$Kk?(OOxsr^t9(#(0@ye_61^yeZT{Sv>g+VLaIJf8YYP>o!P8yhyWpK;c+ZZ
zH_XfqvG-ip*<&0&e-PG?04y*(G>l?XJmhbpBCl`z9I&gc<Kk=ksPV+K)6jnPDyC}0
zR8>N-$Lnf$Bd||5nszT?!FX+qao&|?{*5@b_|e&)RGsg94K=*NB8*{Rh9>hJz&>EV
znTfV;SVEAnFH0OB=Bi{*oVbO#Lhl~lV&XDP#hiMO{(g5IYkdHz&y&Xj9Wr5(hC6&v
zi1o03__bcC2+C^i>|QOO&G9`n^NDPZq?#xY#n_3z%iGN)t|p+jw-@-MT?Ane|0H;j
zWjempCq{w;gV6^+q}zk{jaF88kcAfw4quqYKpSp@S%bDC>y+Iuh*5{&jNKs1n_aiQ
ztK{rDWV-QNSfa0F`fbx_LvIf}>iCDKe>yE4Ufb|`Clwx2HN1L|gYF9&bv!4Y$7Tv5
zUSJD<A7;N|N|R;Jl1by<EeaeCk9xzU_dzdSHIbP(TeZCfC5eovD1CMK&C1CG#`-dJ
z+|aIICs1Ap1F}qjZ6@QekcbEr7|zaOqNK4IpM`Q`L-*ok{xIXRy1Y#C)anefej}pd
zfBd*ckU96JEeL@K7RmtnP<iH{8Xbx0e@uO;k_P!>2uNpgN<pVro<T)IMK|PjZ{I%b
z?YB&TB?H$MeQ2$E))Ja;!?Hu+c!b{8&1Gx?dy=B!jw^pc)xb(<7u)Jz`od?NM;sW0
z6uvl?m?wXj*hzSOtp|;+U8Swc_V#b!E$o?5qe<$VO4iuuE7sjVE$>4sudH$AGK0Uo
zv9<MacN<@AzS)_XJEeM9Y2aD|C=QI_<;zLzI-k^(Y#Z>OQN31L$}ES)Dcu@EW&~^+
z!Y>^gi-k`lcL7GwQazc?1`Rbe2+;9FJiI3tb*UE?g8+Yju*F!IAdt$u^Am~*&1@`G
zu&Ep50ikJYZN+qLTbw9m)_Bghei+INObEgYkpv840D9tm(_VnpTT1hVX>({&#$kwD
zcLeA>(9LI739bbV`O@4xC)!6GqpQvC%Rj?Mc~sT`1DwWx{!7H2(>6EQ+mCjD5qEsh
zY@Tm&PV2=4Dbq1&yxS`UJ=TSEC(7H7Kt5db6oh=2Y_IdlpGHD7&uq{9jslS3CY4h7
zw;`dCKQ%RM|6ZZhv+xRzPfc+*#*4N>t(I4@@{<@8g&Op=9v}<IX{v${9cA-yQB+g+
z<eslD7{5pIw~-(en52HqTj|zB*aNK}s_N@Ii+kXg`(QMXFvV)I<A86&2Zx1)2JT3}
z0Z`0u-5QpBcf{2SdZd&3FRbs*^On!++GvN}W`BB%AwIwBuZ3&*yzO~qLXmzXeMMJi
zSPnZ>f2Jx&)})*%hvVB&SxQ(N5%m5Gcc;{!FXv#r^d(JfilW;y%&;Opl+H3HyR|?K
zwK3p`)I9G0<ckZbB*#pJY~$|ir0crnG$eOoTAfuYcr~(mLJ1HXZWIcH5B~C6pMlnX
zpe#^-pJ$2Je$8~_gn!2+zYf<Pj@6SVl|~j9(bSF)7@=y(>L?Y)aul-vM62Z~PSxt?
ze?`4n*dGM!v1E3}aDYNAcqZGJB%Oe|5~FHxJCx1c?p+n<rD*QyC0=3(je^#Rz6MFS
z`zR<thkd}Rf$8tDDzOt}hgA8Z`zy)9ea0l(PphBrSZhp|aGf{8V<Sl!h@FoZf)2{T
z9sIJyubDHy_940t!k|9Dl4_ogn)kU(SE@^!B`9CQEsqHd-!))7m9=JA$`NWTxgCYC
zFF$_*tezA#|C{FH<U<SGK~La7_G5XTc4kgmG2l`bS4CQ;mVbQvMu2abhb#N}^MHwa
zW~mnr9D#+7r#zbY>Oyh2G61tVuCx|sJJ?r8i4Mq{;)$T@#zm(+0gS16(k8LFH@q;E
ze}?qCOV2KOWUbdiP=G#2sqcs8+Xq^{?brMMU(=+*JMh6!@?qcwH;0?pNr3{i0y^0t
zlM@LD0=9Z(Vlq)E)y-%uVB%n1FMn`7cB;r;D}8}Z3_5Y=a0NmNTr-Hj2a)plA#m6O
zAD2XW0(>yI4^eJsZk`FBH$Wn&%so9f8ybSH<+QZ5by^qV=MuXJzZv@KPeF!{WFG{>
z<>p36Tm}q=D;(1TApP!L{e$+<s+PQYWAEx3w+7I$1tJ!t@k09uHx@XC==gYmPGT(k
zpltBPynyrvsJ{wz`ntR0Q&QB~J}aEz5*Gwjcr6Ea)Ad}v#<<8vGLVE1g3L1h>S$}P
z^=%)?iiYz`TpY&=7OLy7b!yex8XKW70B!*5EP_xuIgMqOO#r!+cyDjb&dvhnP2+y}
z{u=NS51D@R0vtI7d)+QGJdTU&`t?g7S{bu%&kXda#(#J;#lviVF}K+(sU7Z@OeYJg
z9~RE)x1kb327)a$WY<Dz2}rSiOG6Ts%2eGu%5P$*`$%Gn@~?`7Gu>|w)AJHIKp;Y%
z?k)&SvLQOCnwpwU+4eRRy%D{{u>at}3nFZQn?Sm7t=61h<(ksEz%RWseDlRj-B5gj
zFQeqo2f`IvJ<cAJD=py&sUWI4yDh~WZπwkfV?A}epu`3!zHJEUxm?efW2k=i^a
zlUJXygYesH_e0X^J55-D^=!-U5C|!iJ3fe%^bTAWQs<N+%x%%0lJ%qaTw5?5SgIcL
zJUL70qbDGE>{#jF(L_8YPaLJzMCUb5mY(9P)3`oRmo@+SMBXdIsx7zyHY-<C|AP@^
zgAf%Bb2M&;1c67bkDjhv-bdg)S+W(JmwAby(6;X<wu9&iYQQ%{G&JSjXngM1;Ma2=
z6|dwtN>(N>!osV-)%^y+T>B1={yLs|SExN)vp@8o!Mv+-cwK_x?wj`-mAl9AWSsti
z>h!tyQ@MEm@C0G=Ol&!_y**uV*F$%?Vtc#&ZPCr{hk@m*YUMK$lH?ENRDAqtc^`>X
z>V1BG^WF2}iry!`ir(ox<$qT(vgM<x)I{k|F3-W)<1pk}n@=y;{qUsC4fi(g&8;<m
zzxj|GoR5|^YN#)q85?(Mjdqq9+jOfkw99^n>-n3P^yZ%qAS~$zTqIaOJsJBqm3NAX
z@~h>aqC4z4hGKVixEhIiEr_6!;N%qo8SV(XvYDcTwk1%?1pPVAd;B<8aE=%cf8T+m
z(v=(Kz6GHGGIo%XK#hqqo9^!HYdQNVc0|(+7o;e1(N0t#-?_EhbVJ@Rn?Obrt`tn5
z4_5+sZ1vii1yOBzdDL=9{@nO=vV(Xl^=IQe-5Vee<GP3lsZaedV&%L@B<F962noqe
z%k6nL#jqKsln#p}2Ro;DVjtAqL$;XN;rS2Gdk<*~;-rwRpOxxR)(4Nj^WcHtr?8BI
z6HpWFG%+$-bNkxfj<Nyd+ZssuBwD;%mvY>>u8v%}jy+<?Ttd}$xDtVt3brW41=<dg
z3s9$^Spn7o1V1R3_YB&DytUdgS{TXDjw`ui{L(P)w$Y#5Xm8~<(f^umCgj=KBCkW1
zDxe#!Yz7<w2m;J^5Yk|$0Evjgdz>$T)4?nPjc7tXFkFy!c94eR<!@?f(JytpiQB(t
zCX@GNdU_3V7*3w7y}JV{H!M&<6+jqHEw|T8F@^#>1nelF^X>&O0vJ{0pF!|CG-R^a
z49P9{6D0Os%h_Qh5>Le@g&oil;HVJsD=I!7a=H5-IQXL!(k}y0b}WUAuMCPFot+J>
ztq8tG$sV^skaZ!Fi`vd8ZfIIrTmP(ZFK#r07~|O$Gi8zb!J5Fv8t}#Y4vHs<UQvB^
z3F9HwLJZpi2IX;5Dmv|S8cjIYtqNKoXhtq()O8Y=64&m(ynmk*Nqm<db=#!edT@@z
zG<2>tK!T)s!ujDGt!LWAr#!0;<@eVaZy=xI>t2Qf2kNuFf$Fa6pIcqGl6Jq=dfdq=
z*5Sd6$OGwBf{2es*dVeN$fKV4Q=aA%7=PVL?CSyOLbSY2m|GPrBAt*>a<`*?@_<hh
z%lss*RK>2&Jb&n4CS&F}n3S$wtyS9<VdZhWw9iHyU}Z5b@*ZZAFylcX#vn>cLs8U)
z@G_`glz+&yu3_Bb=ej_!VargCKJM2;os8!57{b6e2|cez7Re`B#~d!lMB0;=ow@ut
zl&tDQWZs!uQA{Cnk3EX~?_t60DYk<rZlB`X_hQ*=Rl6@V&4<1w%tO2~D>ZuxBqLc(
z6$knc;9Ve}k2x?fukL+EgZh^Q1yvxPJxzUmJnU~^%CBd0pDyaL4PDhmTM|C0^mS<(
zt>fQ`u?Wa$9~D)w&%D<X!@qs!)Ykih-rWJ~DT>39^9_mYk^&J4$T!`UnC122*|R~E
z8cjf*w@L&)5K2~xy$b}v_F`-mk@f#n@0mD1=$$?m*|m^b;&qt!_#*6yMa9KrUGGg+
z_8AnjvWlZxQaaL{n}GsU9IiHW<H}y#B$fNDO7*9uGPfyG{iHS@;~s&ihRe3L0#-l8
z5H}uLi*NPa8Y*9QMB_XFl&5@O+~?lsDwt^CPeV1b*2RWC+f#cgQ3QgVXvOreD=RLJ
z)wtS&?|#`qtj#F@2hL9H;^rjCQ9HY%hIOFcpk|1E+JlI1+(UGEUMf5f@nC++F@&EW
zbH*64&WZ>0KfN%-=XqCxwKY9bhGJlBySjhnen^=~RgZ7ac9=FLeh-JO=p}CJx95%j
zndpE|6UvxkM7e=2#B`<n6E-Pekm^~Yl~2SfjoV-8y&3v(fb{eOghWI3CX+H~AJ=RQ
zh8FnErk6LA7Kp1CVq(}$4p0>%w(z~mii%AvL+V*qc<5dmRJ<=LdeUNktMDg~P-szc
z@WrHCh_OItES>XR2iZxDhhw8uIIJF`un#mxR`O?DBY3AEW&d&oZhK?!dWME=!wZN>
zY8pWr7|+2~S1BCqO$`koSd55eL7WhSb47njoWM~`6$qLB%3Qz3&p2AlDF|HrY+j&p
zs0-5(l6_-6o3qa5l;VgA%d_XY^XseSqx#{$9+l`;7c{$-L61Ksq%YqxXdjdd3C|&_
z`ge?1P~My5CK3~$kPssH0(Ye0)4fA_j6rZikox+h@h%<;+ZLz2TWQs^CqP~yoLjKA
ztxKhrDZIrzG?l4&$FasU;u2$|x5?NAm8iFfvN~w$uTgCMJ?Fg1R^}D4QvYV@td<#~
zrll4exR<tVqZ)gzwxqf)4%J#7f6(ZgxJ5{x86L~##dE%0wiofGm;uLn(=`G*rw&tb
zsT~x0ps{1@Ss>fLm-X;wz2Q)P5~B0kYqoT(%jOkt{l2O|!Jwweh2}ojd7a);l1_oZ
zqdt`m&S6h;X;KJ9?B{OF<mx!OaI;eVnp4VRNlb|1QoL}i(w%m;JIGz!L~+N~+r7pV
z#D=yHe!JjhWiNMe(H#uolPWu))Au_WR<~AxG7#bTS^~4ZhWPCiHsOjMU$N7Uj|Uuu
ztm+Ma)%Xeeh8W}9#vyPQuzEgH_<=4wysI+oQs(`)$q+AGeVW#75}nUc0)dSrWi@@U
zm}zQ?c*_iL_}2{fZ;YM-B&;Vc{>^ww_0<bPYGCvp)`JTD65=NZ8?5lHIF@caIB3gp
zw`gzhiLXttL2sblOoL&lWxM+7g{P0s^7$NRp1O7UQN-#QTFL;z#>Sa>^QP#LrTN~#
z`JHJ8#ckGXl4E{5{>2Q~I&N}{k<(L&W#pV7%!|0d-v54hfj0#1MEJ=7NX@PG*oZ&e
zCB2k^xVUG}IAK1-fV=E?7B@DIH`E!FdnnZu+fgFL##au5h061GJoq<c+ZYsKN(`tO
zym9sWJ)-The-6dfU<BzX0x+s)eBy*upmn;E!1;ImlX}P{1dCm{g4Uk2-(OoQkg*Ni
z4U%9UI$~t<MhHRc_<pNBN^F`8;KURuc8}i#=i2`K0?5DZ!r^a}l>MwwBxv*fsNCGO
zlKe5}yuGF$wcC8z?X`6o@*21r{}MyWUaBC5VRYi_e#)IQE@hw$Sy+(&#Y4`zoBX%q
zJqgy#*V{rpHou#;q)VUb(IY1PgAqrXqKZmz%^=4%78AVANP^DJK86A%aq%ZnQ5>;N
zD3<c_s#M^D{ulc!;1niGyxXXkz>Qqcjo%<JR6PMmKA<S}s!C1c1;)Rd9Jz;${(-I?
zcp2>_lF*|q@?zW+Jsls6Kr8PKkk3%#r`e6}2Vi+H)ZjE?)3|r96j^$<cOb31apML+
zMvO>^2IAyI1UPH~RDtI@pE#8ED)T^{;V;jb9DEq-s3WWmNADP2%RzyRpu&y6q$&u7
zbgOVF>$5H#9UJS|g<gWI>0j~ZMc#lraT=|}KMvu<@m$N!PY6T<cd~eK&rZLNkZSl4
z)U)udIIB|VPuH5{BOj`Mc;T-HkeMY9<Z!=k8*6H8<h0_INwu@FQR8DA8zaVlxK;c@
z4kt_x=ug&}MwvCf?T&}-NI1B}3mX8&vaQ4TF&HRR$}YLtnC1T!&BtLYyEfqWHCWk`
zcG3LXn~KihZFhF`g8tC8dwz5fPa3Y>>qmzAQcW+<*1wLu+E`+}M`pY(?!#fm&<htV
z3Wf>bbV1QIn+#Uvt}FDIGw!{`I9MS-$u$3wB<ZVZL(uB``Ow&f6$hW%_mBYwbuS-K
z=3@kq4d><B3sGUR8hImfp`8!*vT(V9K?2kRl}otNxqrL5k}D%<<5<^PS)?2!HDy91
z8x^z-_cHE%Z2?m9M8d)(t#Uw#!*chI&jt1-<QC4ZWrso(erNgC`_@OsQV;IZs5z*B
zm<7zSw{GQhOq6@mKPspdldzedtj-`qj832Y`)SO@_-fvPY$TZ4aT2wKsZC4y%2xPg
zxeRN}4Xx3b7(vT*4|B0oUviyE{`TM0ZDuw$fop@0*$01JEP2JIt7G56!gPDQLjf=W
zLNsJ@@-{c3I9e|VRzREbB>w*GZQmY&v!=8OAr9Z^UcIRP6*J!Pk-j?hm+w&@<S4>3
z=JlY2dg9n-j@|H3!i3=Cn;$G|j`0&b-1nOm%qZ~QuP@?eG{yIOXX(%G_+8mrlMAjp
z10USIlg6>HmR<k5zL(S=k(7RK@v;?wu0$~jLYc%*pDxAFdS(`c1IxjKSrsP(Yd9C<
zlzCtr`AeDpj{@obl%cgD8qc?tgb~&&A%U?JgUHz86a09f^r7;@p|W?o3ke1IBIP}H
ztg)#H_9@`|@F>p06f)FwMvyn{>p1G;f<^Zu7KXD@T!4Xsm|e_!5AYqa?L#?k5s>w}
zZks=xCi&VRBY4tNrEof{{JgPYtajmoZlN_m`}WvMI~??5(cg36k-3fpAgg^vB+}|r
zMozGJ&){LK_&1p|e3Q;s4rQ~m3$CLfeyA*D4Bbx^s4s9JS`+Xh58a-Ltld5vVH&!(
zysT!HoV>o}1yt=lP5Q~JWyCSKb_ja-*d|0f91D4wosBCMDLa;8@M_`!0nGF0krrr&
z%g7K%S1r^KZDW9->G#wlmY<KYpt~38xJgMiBJq#`_t|z@iXn6oxCgjJ*ZrCdH;a2f
zmim1dc=z%t&a8ZGHHDKR$}x?P{%giX7Hqf85jSlKRz!5d)Y3L~N?aWAzer1kgi?h0
zYjwkqpabXvIo!#iGs?-rl>c?>rPv#oYBjs@$c_6VD;saR7)#^%Z??ttO{PwqF^xd7
zXI$K&n2G0)nmpwgu<R<;;V(AirBcR$b70M%4yuTbiL|f(rBJNy#(x`LFtf0TiHz!;
zLbHqlp`d35HQ&VZAjFjfc}2B@_Fpc_?fGgc#>x3%c!7o_jBRIX8}&}VPx?tr{MeHk
ztP4|?E+j-nffz+eWZ@W(supk9R7O$yp;hTnp#VGY^&Yb{`B}@Yg-CB~GaF+kwS`UH
zn#MSFgNq|Rm=_>(+v~?&G%CzhZF>nZm3!@=lf75XLuzB|YffSDhe>Q;obX=Bc$Ju|
z+mD>B>#yQ!J`Q!zZxh{x$kashir1bPUrsh9f~ir-z*FAOCiw{8g)W5nz=*LFbWbn+
z9Z$Gb+#@X{WOV0TbWrSU>fyuX+2oQMM$P{F?yNmMsB|#bMrNw9$=ukJ-%U&+z2<l1
z-hlt71#s72YZAbQQ{{bdT|Ie*#Jso%^-{pdcthU19n)$opkCbm71-woE8FUl*^mG2
zgM=v6=ddkYaC3W)r7THoM@>Go9*EiX+FtL+@tibPhdN&;43^m<(;hT`9X1~a?7_L=
zIn2aFy^GYh?F%94w-Hgc!Fp{vJoTx_7=503=F?0<UUAxmeRl~+20-B0y57GST<Znh
z1(op76CqY|fi1_Qt_3GAtEzlz3M6oFGlv%}$Nu^rTpXGH^r;cj%Tis~t)Lvt=$QCs
z`ry!v>n3kR(g#`Up#y^H=k|Gg6VpAeK>0>ej~Ms|>J~LG$lj7*ebO}Id^gY)u5N=o
z>cASngQ@q74EJPdq;4JAYXlArb##oOd&uv{w;$o83kKSMnc@4lZ_cfiRAQ({1x5AM
zQVZ%U!%Eg_z<tX0FZ1(JBkkeqzOY07vKGST`EB#Nr!j_qx=X*{Rsn4Gsi!L<b0JNH
zMh83~3=S$r2{^c}z0#(gV?qV5j;^kX3TylrK4E}Azz+9bqcQ^=AqD<{*m-eX&w=Rk
zB+6jex8?)A*J{{*<myBAIF$Yiums2fJrXpG@~2Sw*wQ0S6nG2m1<U2VPOg7Zs~~ul
zASuiH`16gj+`3y{3s>qd@nTcK83#QCC`5#jpm3&C4@Qk<WAwCQLYaAsOlWkf0LO%?
z5#&K^laUY}d7v9$IYh49DeGeiKY}9|VVi^YkYU+Ns2%r2+x*_WdqLfH+w7G4iEN5?
zE3%dKO%N-{!DMhJLA?$NWu>M2z!6`(h|4~|+eWhuquhp<H}oc7-AR4rpp!1O|MJA`
zU1w_N6!h~PZ5N)m1BJ_bLlsst$aC~)jQuq?w=?`F8%G>9{qRmhPX%d8gv$~K&2FrS
zHG`0Xw^qa51Q7i<L6c$s+#1|o_dh(XH5puR#oNzH1&MsS7p!frh#z$2X^m+^`z1`o
zh;PewK1v#=z=ewdfC{Dy2=hfnW3+G4LHh(Te0eN~rzdrQd`G3ve=-YN{ur$X2v|G7
z$oTMz_%;bzPvensb}iCQHe%IX=xO~gwvCm28=mYR8Srrti%ja)HOrAp?<+UpZTmn=
zqUnd@qqY83qq`-!B|{-=xw#CAR)so<HeGg8aq4F{mT)06Pe85u5&gObr=+Aio_U1i
z5I1sU9WZ$-F*cBXe`P7A%5dqi>d6+RhrY%FmFg)xl$6^aA$~D2z;VvU*t9|4fwvV9
zPUnnEo<61VN4~xGU3ft?D*dkL=oL^3PS<aG*PM{O&p|?<Q*<3U?>fwz(iJRBpJYH#
z9x%DOKOt0j<WsKt`0KNTb&Y4nMfQp26zN9*yJQZ<0oV2&+zVcd7{-Vz{JIzma?yBR
zvQY)X<Doca*P4NXsp?e$#mO+Yn~Zy_N~qYKhoR~!?sL)InCTT8b)24<oJ`}LZ2vbg
zdEnV|hL*z;;z2`0L&Ubi(UtGk%P7EBPmxl&&wy*3h>^qK<Du6x;)uaft9$yo(}1aI
z%uyE;{e2X&%!O}C=5wx-45Wn$B;1-~Bn_-7Me)-r;A!~e918CAQYKaG2+!{>agw$z
zBWHG0NR#M|G^~mc_47k(`Sy&RHyi^)!|My^Gh>UiK+;j-i#E~nB^aEOMQ7*pDB?pO
z8eK$=xL$t(esUur{5jdHtVn9`<B@>u%}F8&QlHqS9URaEBshHyAQKkid2)>aSOF5!
zq1B((g>0uC{kOugkK>CRRBL-*-ywFNBbh<YYmsR$FdS-92S&<&$K#3A2g9;7m7P1W
zsD{=eSP);&Q#mKsDm~YSmJ_x4#3dx4w?YXJ3<J2az`t17^3w%JrC!6-D!~}qa-8bx
zUhg8|)Q+Bcj|BGCn`>%@Wmhyc$4wQRsH2tf$rNI$K`Izp!;$lCX{n4WJG^dVV*@`}
z#{}$7`*uQp;fDZ~rjY~s&e4EYXJ!!Oib5B3;36!x1#A_l5J=901MJ{3&o+-x-~xh)
z%>rt|V}gR$v$b&k;=Dj&Tg@O|WCW?El|(rxaYg_7^$Wgpj1!KZgN_+O@nw+54#EIn
z177=<3T3<2ktV2!7D2sYwu@<mGKlc@ESCdfBT<jMx~{^ulPFOG1zT8Dq{)EC0S71H
z+qdR<*0uIa|A{An;v=Zqu-Nv{Ohf0FFY{aLb1~Frc6M{}W?@*QlhrY(U|Uqm;6wge
za`MH=0;oW7S`9Uog2o0-KT(~al>RK|3!2VVRYNf4NOz68)t9>YkZ}Cy$CCE*Zb$|V
z=d9m(*+}L|bqF(SVJ->#MoJ3xtA2rb3sz4ECM37NqOKGwoV&;r!d3L|-E3u~^|zZM
z-H17Hhgw=gH$|<Je(Z(I@LNt=z>XX=&<ha;R@dQYszmRe&b6ccWq8IFcUa5D_qZqp
zp6@610p|WJH`n$@vG#z*C(^QcXvVoN_spy~z09JdB+n!b^Bp|l7i6IGx~QtE3O6*o
zd61l6IHIBzf2$V5Vi~aqp!_|>i4zuv<_$rfSu~WxM|Iz<^6dQ6b(i8^c7rNOVt~r7
z73bj^gQ%vaJ5BkUStYMXvPHff7@TeTlJ4t5v5Da2pbQQ1UlDcobE20thUyO5^_JgT
zI&fDC83y>O#(4K-XJE}`UWO&HY%gTAV2y3d^AmA+a(#rZ{0Bv-Xu0+Gm-o(GYrP{2
zcYHnotf?pI*{&=5&mXZjVFJRy(N{X$jbB>o)}N!00tPE&$Sb73=}yMxkM#|YurtN+
z&{{W0($a-{?=W{2gv(oeSX#$*P`=d=;gWIq87~>D_zT{Zm4THiIXmp&jr_&EBCj=(
z%a_%mGHZIkBphyEeBN-Vzr~<U3_-}u1dnF<=wDOSV8pUThhjJ1@2tU}H!Y?8I?`c)
zzM`uu$)Ek?L5q2eo<1Ti&$CuCMm?F%xY2Z7`pFV9s;T$9K+ZSUl@`4tOq6VrE_^IR
zg|yk=Xc`f!Q%@$1di?mRfx)c31RNh!aJi$4<=@9wE)-aqsSc$jI?<%otx*>k<k{W6
zefTjm?krev(L1(w7%uHkcGfx_g0NsAL<h3(wVNQNfewB6^W&z`nmHF;u&b28MjPn_
z8ElB4BC!JlA6;5p{5S~UAR>~sKJYPY_02l@t}+E`cUlW8Gfs@YB0JJZztCXzcFpV<
z1lMfp^qjaemC`Yq|1Td93df9REXQ&_H#TCo$XLJ5Lx-+fY`VveWxsiY+90eE?Ly!W
z0l)Gxgy6M~ZBjJbuSub#>W%jj-xBeDjYJ7bzBb@|02`Vi42IcIx|5ThC3X%lH$24s
zX~qbr10apyxUtpsWj9YqK`z(gjz{!6g{nsrFTx%jOW_~|@zPj$l`Gn#@Qx91PY6Rt
z91+O&zV|pMr*EwZf(?OZ1}k8)aB*4L=s_M8$Hm%@gF^Z`Jn&pvpFI8bzixYeuX~yn
zN-{8AX5qJ+LWitfzYlVgb)(ku=4iDM*M*`sS{vTdYdMcqpW`!-VzV<c;y{tAg$3Br
zFFE$5y+{BGRv0f}-6qK#(U8ZMvw6)bx^ZmjIToyp46J=gS17O>g5v?-Z-vl1EbZW%
zp=YjI@0)A2ZnlRpuefLP_0EhI^IV&y0ctzHrs3Ot?;pDwMQx#Zv_w1LvrW+dq3OE=
zv0mT*pC}4h$qq?YHc5z*nX;0V%pxT_B%_ioLS>WDaFA6-b_fX}NkUdgva|WUo<6_t
z`SYBUc)Z{DeO<3fZ&7%jz|Bz1Nlv&RahaR>hNrXQA0NgPg8GH24bl|9NJeTEUHq0n
zp23(S`8i(PThdanhMBqTh}$zJ@yLkOG^7_$2jS#|I97%|Mfy_W--lmcObEqM=CWWh
zDfoFRco)IxOxP61u2gabnpdT-^RJARx*xAv=ZQ!;#X~{RJ1ApMa9S@I^H>>~=9Jr&
z$iC7Zn?KG201Z-%miF5+|6Y3LpDJk}`}AqgS@H7B=!tpECOuL}l^nbEWp|6Qb$pql
zV)KdLANONESOVMX{B>pEO6g7E&avI+Wj+NBRs<fb+!_kv+-i07Jw5&kG(9U-pubP)
z)j1)@IR|orzM&x=wKpc4o7*&sUeuEs`K3ShlAHvJAL+Z8;h9D>EA<uMz#3nFT#cUr
z8W#tssSnmtGlo5e`ZqDL9NsMpvC=eZLuqYu)wny2jtvRq&Od7I5~~Pjmb1Hm8E-zs
zx(nlwLH6OJ;^s_W?WI+8>rKb9Ia+QtOfA6?CozP^^90RDvOa5WcoDMnDUS(f^5cr$
zONedB&C5e?Hx8%ECKs{nTYB~EB!L2u`jh1skP(0Y8jp>^7WQXy^5E^-@dczmA!OxV
zEiA<32qLLu#$AusM`X)L1$#IY6^oI2LX3dRAe&^eXJH2uw3?QgSwG|iI&%JDI)7)M
z0P6!VdcWM>BBBC>Ab?G9|0tSzn7yHtnPqpc_g&EI+4KjZ8ib3%wuf+Xl=siIKTQ1t
zAq2p_^)C8pv{^*`mj{6exTNS(C*)nj`YtWa3-PXCH}<`nnmag*Fd>{f2P6<U2Zk{?
zrSPz2ir&6)V;cSdz(Z7INMvk;mj%kdUVCDMxQZ^+nUG9FABiU)Bq!3(4^q1zYY}+M
zkki9Dm9_xfSzeU@A^{!9<I%*2WhCS-o9tU%ot}PAU*c9Jf(MrWf37C}IF2N|kod75
zK2GPSSL3d%|Ns1?OD~aRD03MD{it!QaKV%uR0MwExPh|`vM&f;P<`JUaRFd7@_8Ie
z@C_zw#iBN&?aw^EHB2nHDRXkdKU+YE^;Sy@W`)?;#&$Cb3JMew2%njBll>MTbL7Yr
zS{VU=WOui9JI8z^waq1<=m$IW-II6Pq7Q!BZy_~D^J1(tCTOnh837{{;!c<xE@1PU
z__c5gv6BTISG|1|IjXNbF*N@gd6nvD7$X4R&~y%;MI<K}J_%9$9`UQ9s3oamq{{YF
zc7SN`;ElSOVjn9?48IjH<uOY95dAfNFX_M<Wm}DtRvZP;MOW9KALG$GJxg@CLyEA4
zW|En~YDGvxhO%nip7nt9MF+#|Y<}})0P@&i0ncP+B5+rSU)k3FT%VADO=PtZefBU2
z(({hBOGgf-4DI+qIn38y$5s=q_w~dqS*^|8x>HhQf}s}7nR%yq=yAbmw#<darX`ca
z`rmU?-xcS=O-pu%M_fpx!kMA(o6}3qcAsGL%Ft7X5KJ;Q=LtePKGYf#9<o5u{qQTl
zW&K$3+uh9#%b>7;O0#{*M+ZgUb+Vda)WqG~qK`2aoj^ngK5lOj>5`9CUospm-$ej+
zl-h~_=1lBb>EK`be5rKWO8q{e#xg_ffT3tzt?$bvj?i={t(xa?bfTtH&0kp9c1$*5
zM_sS#7d)`9<7xH>bOnh8U;sy!)*upv<}S!!O7($My7B#ce!*ywAR|H$UwZd7^jM@K
zdHC_;qwS}HZO7Y^p~DU`d}?2OR4>yrZ{NP+CagV7VGURxq4m9S{q!L~+3(+bE1;M3
zeSm<=#}D}6rC5bUMa|X6zE{&@G{#MWQMLCs9Axo)40qbcuRA)Df9mX%Fnqsw7SBsa
zm<2{|r8F7*O5yRj124GezI;mZyq<EuZQsbo(;Uc*LR?F<5!)TG6yPwj=P`3$wMN7}
z1O;<ZAP>sDmafTWpP&y(l5rjeTRB&RP}otNJbsn`@xXUk#RHpGxay%xAC>jQp^=nf
z#~XO<jfqGsLc38J1DPs61L%U&m-9tK%HAF5Qu=CcR=b$v(*L^TP$A>y!&enR^6|v;
z@ZYbqOb?ARv@Sro7K&RTN5aW~f-<<i*r`EiyO(2+27+L>GP=Bu;iuPLI<>vMwH5A(
zOh0I`jJRltnbTTY2&hB}4q$~NN3v0a2A6E*fDS)c;g3U3xa~pDoKC}-k-;xWyBk}N
z%d@AK{F)$qKYW;-x{EAi$O+N39pejdYok*R;=@8$5TE*j*qMNBWL`~dy00vPbe2at
z{EO?GvdJPyFu!byc|AaB?n3w7Jv&Ko60Z3mtS@E{Sy%&LWMYU*9lX0hh!(Ufk)Sy^
z1EXe|PH;+Bs4_Po{K8oHCA{6KvuF+-C<~TVr?ddc2&e4K^6kn2e89$oZU00P0ZOM{
zbvTsVhU5-5VLm=`)Oz3VnHpPIr4I7n`W)qYpXHsT<xfd@4pG|OpN@LNLpALlq;$~5
zrurmKUvO($cIolWFV`+twcb_O7~Q3uQHpcm(U~#aDv(~qWYo8jE4o{eKRsK2K^P#Q
z!7=p@T4K!5`{O1cMvh?C7;k6Gs4h-j7{6zBNr(|gu7#M9fx+K%i3O70(#$)sEU?QX
zp8<Zb<B*`*l_B;Q$`&*D#336YmTFN=FjEB*wV;qKe#1Q8k%2PwDTF{vbwHnme>71G
z4=A{6a$$A&1`U2$9aq81n2H?31HnMiVR$~Z9db#H>Mn>kTT6#tQ^y{=!{(72qU^jq
z2*%?riTyT<Z$6zzP9tfe^8#zdP4*N5BJ*AWjr71OjNpF>72VB|ABE0?`#t|UZ1j13
z_ucc#IB<_#-~-z$V$^KzG^*#szSRu<m?sNfiObI@Dq4WU9GbG$R>}D~JofmfiVH40
z6BBH8@pja|!Plc}^7Y8uu_B}0TQ`qUFJ%-Kx*(e(b;t*MGT8mxl&1#zT&}9;Q)u4K
z_4Lz*HGtB+UZI~4<uw-AbLUF8LnpI&oOCbVVWNS-#T0R_qYlD|P(VZT*_p5X0UJ`I
z{Ixa*Y2UG_%{lr793v3e4RW4Q9T9w(a$ke|9VE&_DA0k1gWj*DXK;{Mg{sCKHT7h~
zQL!d6?_DyRQ>%nbh0L=wVrGG^uK4w=FJ~c8B@JtE>1$|8$Y>h(=LnB?LR}2(67UB;
zd?@DH0@!C}`C_gCo@u@fvlZGMIO~41UD$zUOr%3J8|FNHdS|DH4X_93SupF^9{n1>
zA9-Hz84z5`Dypgmrrn9r5RXov>fslOlp>0WVApzK{Xs8l5#UPtIfX+}O?U)C?vMk{
zzA^UUF~Ga*ZVm-+8HFns1s}h<SQ7E170Vumnn`!7`v7!s;FYcQf{ya;g7^T5A#?jU
z(*FRnmrHKDDg`45A_Y}d$r4-PRUI8q_&U~F)GJz{G<EOI?&k}EP$)DD^X@<pH6zGK
z;A1wVEPgWV90v{@O>7l>e1<n>KO-aFOKx+zIRSQRP|Xii4@IdrMIN`i*Je|Mc-4Lf
z!|ZOotp8P!AYTfPVQPEN_wPcnEe}+!rC4EY_Np{{rZ+Y^3gHxnP9SUFDUF2;z-!ES
z4=u0XlIKWme{ty^79%4e>HsBBp`b`uAJ7Zi!u6m25+aqWQr8NM(mVL^C6&2fN6?2T
zD|72|(K7$5pOT2D!ifzJDAE9qbkqQ11@Q@h!&82d{WPk-xaq<g-i^8V*Fs5pV%&4o
zrOYH3bI|LXX$V<QRt78e3Lm3q?qS;94@3CvA~C#ZdYRH8YZfGTb94NXl6_Gx1WBmK
zVZrg*IqCMA068UG=&>zJtKMDoUu>^@aopR{3^X(3_a!qkq`<xCP4Yd6;3QO=_V;i4
z9wVcoou>=^5l*dL6=q%?xH|ycXObKB?V$iBAlHr#Ndps<CrOy%o4@+9Lp*>yy^5a+
z*U{<q+HJDabG*51MZa2UPCCt%E<_m@3l}X4w<tYEZB}^ec3VK|Fh|rCA*AcHkk^8W
z=Z3+?FS766bn{)GvTL&>Gceti!R0==qR!9o7K$T>x0BDIlt7YBCH!V@-rU4skLv`A
z863)3sE{*W?+~YM%AkVtTkq;w8})X)OXsyuEDhYAneH$5z>SSL9P|p1pmzC%kEnWH
zK;TR@M4-5efw5sO#SP*Awr0Iwo&L1QUD4n#lBF}ozZG|d5Ze1)i}@&0$)zc|6;|ZE
zzlIqJ5iR8e1ZOao>G}<C4;6>iZu9RvxDUQ0Duczy)JiGd+1b>d9|PxBRt@a!PA&6m
z*>#wbBp+TIxLqDHy=3Te?|-Mz9;DiZD5v*Ky*QDYoa}=xT3zd!-|rF{Qa{zWzaAOi
zR;J3C@tL_zsqga~D+1oN$u8T!i%(@~jyw0^gje)rt=;W_f&oM}t-K*R+KwMzt+~LT
zlFKiAA+V&+vM>Ph;NTI8pt>x?9!^cMb;%9b*A?BKjr8{%J@@;UGCvie`<CYjU#azp
zFWtlc9WJ#yx@fR?{SXKco_VceKx~MJr+d-0>fbUq<>>eQrwQ--XG^>9JA3m#H^?S7
z7X*CwbH90$g(~pM*vq(#Lv=ATHNW0(E)S+cKiPdv!!{uP;?IRuXc>9R|K58Ld(IjH
z(e#(Zdr|Z0)&&+;Rs_B92pDKS5elK9=_u|01F@rYBBbP<#!PV<D7b;ror@O08IVLk
z_dztAe^<Q;NXQhaDda2f_eCh*+YQvJ<)L+R>&fco7Tj2!zG`?f@Fg)0VDZ3nGuPML
z))o=F3~@FwZ`YZt9ZgI)iqOBE*Rp&M==BEJQLdQgtB((0Qp0A1I}>j<>jU)hb$Wze
z9>&((=^#iSLVGMf{_fAbrJ0W}SmpO5X!1k@WP}8Ro?e}L?#B<VpgKD{I{;k{C2|8N
zI$;{8re53heSGF|Qj#gE4oBt?{bwBb^*a^`KqJ3tQG^a}O26VqdufOpKtQTz>7(uz
zupH8@6B939x`aauQZX@Rb`B1*hxj)@Dt~=Morn-)j5-e#AgwlyJv0GzmJ+^&YLJ)J
z4dojN1=Yb#sJ<M=O@V^H<g>hoyqL2{GmeTCCR>Q9^R|!PJ3=3FbuU%T>gSpXduafx
zjA3>?r=Sk)nk2bP=*1m!wAz+nH){jzyH9%lvXT<XoD-z<dRbBfojO8{MAT!6h=`=z
zMhh>}Eeh9i_R&MdA})?VcnwA-Iy7Lh2>ixCi8pohT(fZ9M!EKe;N*^&?dF%jqC%v~
z;W&hy)m65ntG>ifjt?bKxO33M79R1<mq<sjsdc>AmDpMaPF!PIlt8qS$*}wWell6b
zaG!nG)`keXRu59tm+YoqF>YOY9@#E`k&E*ZesavM(GrJrqwZRgg%jS_i1ESv-}U?)
z!~WHU1EuR1b$IX91uEb9<!#y<?jiR{@ulXOGXUZt>IM5(_4nI#z^!dci-lg_E6A97
zPDTYsX}nZ>W80S0Tk1><b;J4uahftWt~%~0+P>4#{;u<*&E}iG4Dpl~@L$MO3dGEE
z_Ixo$ricjY#Mbv$4(Z;v;I~Ogko8&wqF#XnxAnC(Db@D!11r_bbDtgT6(jb@b&h!s
zDF`KWoH;2{TXdV2I*6E+Nx+1GQ@aH#R&H19<%0az?CmrD$L_SSIjaUmX>9!dRpcI)
zS8R2eWc#MDNY?xH{;wsD+eB^Bi_-teKD>vTE=ypDcS$<I(T=+sUJOrszbGt4bVW+X
zM1=dwJ+bmn3is6p>Qe_*qynMV01oN3CES&k9xt9TKkowJ(idiP$A&0L=J=Ye^PY>s
z@^9E`ccW;ASa*K*;uzj{48_}y2lOS`@7>^#FDEBor`tX9F<uh6=nx~1xuofoVjF?l
zSvoP-J+dq4YB(C^elB^rK7w>qJ=U*+&XPpr`pIQ}vYTn@JW6s+z%71%FOxJ3c`>8V
z*Cd(pL=Wranug)cn@dW6=##Z<5e#uGI6Jm&{+Gty6mN2?f|cd!?Gqtgw<^tsTcmDi
zr0L+J24;v%Xmy@(??KADU^&!z<{!}4K+S=IYW14Ka&qOcZG33}Xo20$(sJls`32OE
zKJ=9a768E&?u*ehy{w$<>~$rw?Oj&?oGj`u23|aS)(~a{6b(vEjz~VnFl=(ra*3K%
zVBO)Aal#1ri4Dp7&~@V+8I2_}$R#DI3O=$5%Fpx#iS~`sU=ZscL$SI%KCviSUznGb
z72<gigb3aVh@g=M;d>2N{h4RnX|7rNXIl8SNj~n!HI(iPUk!1tLKo7xb1E6SiLHnm
zP=2L=eGqI|xf<$`pizM?0tz<@6*Dt49(r&knK_{iRxq){#NfA&@!tPw0YCthnNmYS
z4<1&4fug)0aj!_}C0J=rxRfEen};5Fb%;6-4(ad)E3^*0=t3za&>?(Fzv}*dwA{Xm
znT(+v)hD@v9Z&2JYrrQUP6`R`3%)wM`uMsS{IPG>T0C4lo-y_sG%aHoZZed{49<Y#
z!O5;nx_+jD_Lh9gNiH#FDr|@N6Ff11)sb|C1xrd0?{sRaVznN3Yzwv#FhJA!$#HS`
z^{UT@_DnrUegBY#Fs=1_$!qeyFm;f%7&DZm?c>0t<5yMx>0ba913~0|MH0Rned|#I
z=cHKohbX)K`j|tzPu=U@K?aJE>P+Cyqe)Pvf3*-3`rfnH#Tbh2i-&SR3^8h90|WJr
zHkCG5-qzx(aZD5#{l42;^!*&+NB&&(%t3|_j6aj-TVoU-N1uD$w;GGB5<kd41OLN)
z^)+IO|2vG3jzgsGUYXqEG}}WEQ8YVoulmpXFmfk*+A-sa?jNJgG1z8-Fa$7}L9|B0
z5aK!Ai2L~(rA|!b-kYWAEJ0e<Cr=!el0u*}bk+F0LP|uNT@M<PBx^0hUM5Ss+y2@+
z&E*mD*b%wwvyM|yJgR+!m;Cq}Jvi!5usN^GUT$)>Vm_2HlBP3(Ni54$1ax+kIu8=A
znW@eMlzJRW>Ge0S2yZMIc_4kYmB01Aey~`;3wQs<ksIGj>1uF_pdFoM`Ye2SkvMt=
z%NcAJKV5WEr6JJo@LgcNM<?$o{N#z{WfGr+V0}R%1-2@8j3{!Y8kEP?5C7C4bkh*2
z=j7(z@bomwHHcw;h~K^(caXOA_@3X#_p}l>A{=8Cc3sb19o#t#y^!OZa1hx;xdJX$
zJCm=S{dO=){Z;jrm&qpF&x`kgy#a~D6PKN>v(|jOAek?JN%!~kiR+^9Ie|aMM-B@%
z%0h3+n}NB76-V0ss}oo^Vlf^1Z(LmF$9vK&1H0M70z!o<@;OnK4cj1}HM;lYZvOiG
zrlr7rPH4T!^0Z_?iumO#S6aPd6meFB!>a7`mG%sM#-EsL!TtUhQ|@;^aP*nFi1Cys
zSn>FA7V03|ZWWLY1wI!&$qVzIz|ZC+gGOiX9d8$WG$8Fk0ACD^-ud%gIn9XOp2h=!
zI(ekkP*U9j3R)LL(`W_X@aN7>7`+g#pw8gf{oe)3oP%<X5M$KeX11}l6}|NKQSmKk
zx8%`PzQ+(L7#MEgq5z=)5dCexgV!N^O^msVYCZ;ibwGHrrZ~2}2*czf`4F}e;Ji>a
z?2j|c%R>NDmcH_Nz>$!KL$tni9I7jHxq%uft@OEBx6Qr!`WMrKo+(U8n7$$LonPMs
zv765CU;DKC8pI!vlVG_>*5b=Ot(?(;K%O@ycwey&g*d|K<0ivC`T?(BxatTF0lh4q
z#-vgmj8}l%-DE-bn3<(uKf{WY-EAQTa|hC5=x%~3Li#qDe=TDAFtlOOL8k(Bkj5_N
zEbep<Y5I_Q!$7dHwRcaVH<S_Y?KMTc<R>vP=P@mPWD5yb*1n3tNQWP%m~`TUuViSm
z1lgOC@~UU5xi49JuMmLfF_&HdRsAWkv1;$(!}3u`?ROY=lF1xv+{iMipXtCAv+3*g
z6aU{{GSWHuq$h3-u+@=~Iww*E)xoyrdz3K@2|$osgVB!fqK|CM=$V4yN4KI$;Q0~g
zUH>49>ovW|yN~a{G}qe{+3A9sps$S<;$@&{{)NN=OseB<=Qre0@eKtK3=2r!b3i;h
zF=6n@Q(^!$@V|l`XL^OQr-UFGfjqjzzIT3XuO4qqgNJ@{7~I>a`+1<s^rxkD_FNzx
zh@YRMP`3k<!+bE`m7j5-M=`=f%i_}=XUV|uiS9cM_ZmkIyM7{i59mYW{b&*tSPah4
zkEAzvP7<U{`XK~wA98}V34RM_mgjk4=xtlX5OlL;Zd{IQlmB<k*weJ#kB>u^Y9i@i
zLMqPb&2fz~-(9@;KtsL>!nL|PI}5?>9(h%21^=6z`|sU>>Fe6H7ApKCf)wTCm#$TK
z63Vh>$!6c{;-v!4a1BZZs970QZWxEoA6L>N*Ur!mBlXEI+i~(lh=<&42@T!ujAslU
zIpl;8Lf<#I#T?7Vo`{Y~{Sr`@aqDYU)%oEpcPELI*lcmprLOro-_e5!-R<^gZ
z)6mpBA|it7ps*Q0X!xYtx1SS*=M@{Bnxeu&LP!ZlC!cY(@8*q?ekcPVPdv-pg$V1}
zp6aceu+t!QbfCbRoKVttfNJQ!!<>$n)#R#{8SYu;TnaZg4O-8u+25*8pW(=Ux-J9k
zDR3(u3Y3-}rr#6W;)Aeu7&83^3Gtp!bOo+JQ2zB&ErL4e{EAVD13k&oo2x0O2V|eA
zOtBy;8k0z}YaXt0Fj}{7uUDOCF5!}7aoNLeR?&60Jmp>79^5j}+{E@w2@43|2V`eq
z0Xb46tqYh6x(%MOzt=l56Buhmqym1njKKE9!ykjh_14aq=arSoM#duYt;L97-sy&U
z4i(l!6`D*2Bn1bjx!d^2{L}E?Ql3EE1P-l}vj>)vx2F=2A`M9^f-X9)$~*la6cliq
zo5i0cno&O8eE53$;HC)jG5`m;HAUhFvJ}DF3>BHy3(5ecQ6~Ql>{V!FMgcoO3I>W@
z{-@rUv;q{Aps?G=5u%K{7OK#S7_*Hh?c0BnjzOs6#sy)UyuAGz6AW3VaL)0>02P*y
zuqx_>OdnxzS0v)=hMv;s^U$+!a-umCm$~vUbxlpz^8V2^Ang@qGZPd1iLEfw9dvvY
z9Zf$Itj;U%TaDamWS1zU4u1ZO7qZnxl91T?y!#pk7L7C%+c5~to<X@}fD#mOe|S|=
zKs#sZQxaB#^ovl=x8_|1bcieotKEeQW6SFyVvK%L+)=wz+aY1Zwsctnvl@hRX*zLF
zo~TOYgNwqkj4uy0FXRLKZSD!MMRs3%Gb#ijA`Xq!F69X=B9on|0Wc{YnF@yuYAwVR
z4r>ZN1~m3|jlx;L7>1fsE~Es<`%aqWd3bx9ViC-x+kq1-B&Ti61rw5bzZrCzK*<ex
zY=wQ#(}!T>>L6kEd22VNS(uDe8ohHX`z6H1(+sjt)8*tPk98|nJkUA{i!T1Dt`LVa
z<JL~Gx2_zzX8}Xuw(J>Z^dHI&_}_6-(8wW~*s55{ep`DO@^j92g)ZMq_LP`~KYlz*
z1{&zjNMmHln>SHMo;2T8Dbw-p+`+FwHO;X0x&WGo&4twMjYin=p>{@`cF-eVw11%f
z>egVDkCnpKYMpVCJ7t&inXnxv3ioryUK6+y-0;bZ4Dv#}L<IGe9^k-CX)oWoZT#hx
zcc=7q+yABe-L%@ajQdTiL4lRiFsBoTG>Ek|K4_~*n|!e8-MmVr=u5pt`;s3ci6-Tf
zC;p8AU#JKy&81!fGWI&U^2-N7U1NFJ6rG>=pW4+s8b%{d#qHI06>s@<ANhQiy(%x8
z8ymVy9gb^-pOmC~q|UQF$GP1B=EBHG=DOTeJ5_8;EAqvW|0Ey)COA_hv%GvA$Hh`p
z({2@&!u>it?<PZJFF6o0cr$s^WNF|KwD)1C728^1-S{iV|M6rYL%e{|g@7<dlze}-
zUW2B|ZtOhqyxd8$?aRV*uQzD1q|#~K89^V>ZS4RLF(>qf_RbjYsBmH4lts#b5YIUY
zW-3er;Pg;@G5?5nt@G4|GvC%4hr37Zm>Oh9C=1+iho=+sFhI`oen6tOs@fnmnlA%?
z1b_6}vbsh$yBoXH%a;>jo4YUNGgFaua*&=peY!43>oIRkR&{l%zCwqJ?gFsV_N3#a
zXhhE|E%k)8)6I<mf=KvGx0RNEEPyscpvXiJ767PoUJGBtO5o?GcndG49d0xP8v}YH
z!b}b-Pd>J_nU%R5-t)Ef+U>abcyPC9lJZjUc!23-iZZB9124%{DL0<vM~{&KMIBTG
zbV!H)a!H@Yo-j0oYHP<fU&cwNkShAGEib9-$+S7myg$NNOrb{Gy%W0~Dj+=NGig+i
z=?iiy{w(fasK3WD@N*)D0GtIowaFo{Sy<sQ@8g@qp$gMK$Rvl7eF1?<0r-Z&XzNLy
zW2eK!tq~@QIz+^{P|=^`?ZRmVg-XHoL&9R}3!ibHppZNrRqQHMR3X_rZUiwq+A&ur
zQU?)>+`zC0vLeW_Wz4|P5XYe&7qdA95|N;@RZ_awHw{w)q&8s2%}9wgnb?$WeX7BC
z7j^5SO%b+1V^el&H6D5pGtjl`KEi;pe!KMzU1&P~GYm5=Ep=)yQrsjlvSEL9+Xj|4
zy|4=K*EsO=uIOewrH2PXz^UU`_N^S_4B&D4kfw|H3!r$Rv>@QgP|v#J?k;WDp_an8
z`E~dhEHHILVyhbuYr808M65>rI%h?F8*X`jdoj2A=EgiD{u(&{k3V}LNUs~S9kQ$V
z&CpQK4#p{1*&-ZY|GgD=^DDf5cTZZpy7XLS80+8TGk~+8-t9QW!u<2@|IQR7&Enj4
z6nYn#s&@a~>7J3OnWutGWoI(g=SnK`Z-Lf*#&AUN>6!PB_SLCYbcB8*8TFO$$-GJE
z&)_n=sz9^Hw6t;uG_$ttDampkDY7>yYC_L^&v*G7wc@|>l$=69y8ex(dhAGVCE^nY
z*S?fANfN6Akuq~*NAWgQm`m;W-8$8`>=(*BOZIUnZX86*5^e{@BfC5tPEHZ147_by
zg{W~v2vVm8o(*UE(*RPY&_zhNu3NL9kYwFU++JDc-s8tm_rE!W%D5^(Jk@a{ZLk#9
z)QI^5GQPE7Q{KO&IN0#~xpoB)<Bv|+3a_0eoBHsze`IJAwH9N2@DrmtHJN{6!tBP0
zm5#@yOIF?<!Zk|cyRB-1D#eVV;=_+cT5b!Nnm!mDkn)kU(@@uZ_eTW0`6X11&WRpS
z^!<MAjmQzTTKj@v0X~kwh@A?4unqEzN41Zm?n2G6_CdCd#`A*Pvt3MdRKz%>gx;*M
z^q0ukszio5Q1!mb+a7pNK_sAlg`eN3z)IzxlDF1EhljrV%NGZ1xKA!Rpr5?{-up2Z
z?8hi&MUJUU8FKS%ep;wz=ys<03{_@SDIuN1nSU*Cw*@3PJl-)do?N<gVoCx+%;oh>
z%rula-_!Z8p=^|a*iV~-a3$~=Yl6~=K56ls5#iwo-|3`*RR@$}^EOnfxw#M88rqtg
z@ICE{Z8?E8$8P-;zynC30le^9vH}Z+f+~7a8?+L!HT&pM%Fon9x^FjtI*>09RJrd0
z8J&+r#tNisvHK@^RX$*qh;F)ROoUvazIl|8@RpXZz)u`PEd-@Np#`c<i1Cm_TKo8+
z?qAsGU<0!%fFU01l7s}{h@!$myzby^CVRAsPe=UMGImBw3(?G%cc3!rH6n+_q@`7L
zA1S4ANpcn#nd;~ukoF(l1NjBKHSE;orXol>z^7wqsP>V02dL9rgG3|;fBN*pO%^k^
zZdvdFs|qs4Jl}?L>?RJ_%IHJXTliy|L8Rkt$5{lj9y15*HMW7_#)6O0+6+z$DmZj-
zD_LR=K%wAG3&yaqjjI-!bum!ACAK0WV00o%Pd>H<qY+L=c#}3x{2X&Req0WFOfV-7
zNUY>15F1!!k$m=ib6RkNm0s4PMVCXG(W08b$)tj8T|!sAeIa*HpsyKqIbL}M;$Dhs
z=qKUVsThzyR|MH1!0B-0#J)d9dS3AH>xum{8R~J3FE%NIDgqGl+I%@V`4VS}au5Gk
zp;GS&y%CST*%uykq*a>`VBZ}xcb#ThCA6>6``8PF0&j9JKY^>`;DHF1sv$8FX41MO
zMBYO48*$d+Lr8Y)aP9SW1<nUUebs7%GJ>wNYow*Fq~J6@*Z{^oueBIH<nLhmW@kux
zQA_HVA-;D1P^(t%jhW<?eh;U1RZ|0+Y&KF^{6fYBhGx@vIR~%B`S5sAy1zcex8JZn
zV1vHYbN&F9+3Z(uDNc$p6N>|lf~(f7GaIj1hbI=y9gA~OdK^CEM|pJhDyOOm{lKPZ
zj&XSZCFc119f4uj(N$A5AyhiGO&c~eqgeCdgEkef<gRmvJ;%hft~ree%2(5zur39t
z)RSkveJfH1PFM)M*cX?UP9Q6h#bsm8{bR*Jdfu9m#sUy^(Pj5m%!xSwFhplGUw&(M
zG^KRYI#$V&#K1r)D!7tw$5TgkQI4999fXwz1BNz6J^tqUqT6CuoDpuKVCIbd02yB~
z?xscdPd0t*<z!WL%+0I8YR!kA<z++4R*&{xmbu(O?a?<o>sAKNGk?lJi810C6N|HO
z5e9L1UB$dspWZt%cUDUa;vHnw<v>aeuBEux9eW-zqis0!2#kW@Fj~eJNbjD6v>QdS
z>zfcK;!9w_hQO3N>XY~`)(~Y0DJghSY{-~IPQvkp{~6C!vfPGfc&iOWtB1BxEz@R_
z{-S3Jd7_xr5O2#kA=cI1jVvpI)Ujh=PczgaqvNz7L0fe;GU3992i|9~4p`k=1sp8(
zQ$*n<W^I_OppJpy!YrV1<dR#5is0i=`OjCSh|wT4cM%DIom+gm7srMIn@d^JYc=kp
zhw;AZD}F^kTO-5(dOA8dUxL{NAj*ksTv*>MFbdx&LiJUp+4hB*dOjK3gDpy2`%M6y
zFjL_&eed{?|1`=HAq0K?Jo?KEd+9!#BJ|;K+pTPFefwrY5Qz;-=SMB66f0O{yv>L!
z2k3*@{fH+Ln0iehI0r;xvYW1(fE@vlJ;wL++I*uNm}vp<gr?(e7hj8MzKnw4tEgFN
zgIOAb3cBUKQ|=}6uN%TZhVdxVC5#>NS<pt$k54vGnvAjx7iQ}VHmiJbD7l!6M37-j
zOISQ`Qks*i%31*A0DRGX4RPPlz3twa$;sT&*LLxM5q3Uo9YpciBVRelx1?0SE|<ZI
zl~PZqM|=F}QAoUCbJ~&L`x`jE$ah%p2Gl@)<2mVkFsGD8YrKo|_)SvODs(A7a+1k0
zK)g*d;%&w%w-wcH8$CJPTR3)jhOW^)P%WvRg?i6Hoild|9q-OxYre9dKcMqT@%JZN
z{7#Oy?d&uK7)*ZdWnhh_jsEe~xY)YUd02*H{-M2Q@!x@|<;H!~p}F@T#dj`jwLF2l
zvn^^vetgwiF?EI+GmtAO&QdXE`dwmqJ#vzgq{#5wRllLep)D1>uW30-!DX%RzwTe?
zVbQyGTI5Ubzzh?MnTfvsqxkq+zdmP0P0qGuc#d!tFI(6%LS~CAG2ZXUT>NQ;?Qt2l
z#TO<pTejLLq;BVR+QkiN-Y3pDZHN`v8sXf&>i(Xv(O&X!HSNFGmE?Y2oPsO^o8m6?
zf$9oOOrr09NRjal?X{>2Vo@&Hq(0ART29|Su%kODOo>I$bb#PUdm=-f?%f!9s(<1a
z9>wTOjZU)+2~0^Hy}sWOA(^Jb-?STIsR|ed4y%+de4Ly3xgB6bmd!Lg9aK<A@8?Nl
zvd`B`_=({?6-ztufnO&Fcm7>E&Al^dZwBd%+i;uh5KUSYgQEJEKE1<rb9=%e-5+Y8
zIa%<P$fz^vIJXn$nOR3oTibEuyH=&ohYy&9c#?X)pv3j?<vx9gY6jjts8w;i;CaRz
zt&uU%w$Hzo7_8K!H#@)iqjjI#HOhiKPDyuKfr#&pelrwJF_m120e)_^zu$d$d}QB<
zGM*po4ysG1vMI0s*UqnZt8B0K#sP*fqPghsf9C*{At;_biE8@K=>*_^rJE~1cK%u2
z_f`#%Fb7&kj_(1VIfm31@x<1{g7PlHzTSHs%6A_PU{1c<_T$g*-=@X(#>3~EDz6$F
zvqT-^Cf><-m2omb>z&uL?p=lVp=>6qwYb+Fimk2Tce{2A--$BK$dd*_cezqkh!KFR
z+t&OUc@Dq|yUF~q;*8&d_goF4f5J08<MZbw0hh?iQk+cF;qeI(4Z}{HDtj|@<E-vy
z<it(X9DdQ&`{j#j8<mPKc<QYG{wp*Rf&?LC_zAK~t9?(bYQx$JwZnKl2Oh+qKW*ss
zAR?@pZEpJTL4x&xS)L(3LtvdHls$#>Nm?&jZQwOW>JkuQ)eJg<@nsyeh@NvO0fhpB
z=*58!K3>)b$nq^IE`~Y>o;NYt-6+c3DjN8reVhW(h1DBlqC{;3RJL$~=3|hC-1hy*
z9H0`BSWV5{^(!i}iV(A-^A*~DOvlmZnJ5C(7tIlL+%tuV>h8&t868+9v2;P|_E+_z
z+2z!b+sH1$Ac-jvXYPGkhzm>la&heR;t<9BBPRz37i59egNQadBNC73wdQ8yQm3?j
z2fl^Vh$_bP^!6TP{BPNeA-mZZq^_9aNqs0P7}QaFJKuYWyq@b~%qT#yv&(|Wu*~$b
z<hKoksX+7AID%|7=w6^OBDu>YCzp8D!aR-!@GpJ_)U#kbyI6`Gh1izl`1pg;rH~%!
zWwjOTvmyavL=kW=ya6;mk<T>>PkL7Gaf+Cvz*QL9KAzF{1>bR}FJc+m;%hPRK2WV2
zasr?}n?~S`ZJGQp7FycZ*(lOXZI8XW^*)IHz~-;Tn`ar`BJ~Bx79il>`jpjs;{7|O
ztdDaRtlIY>n;3eg__Obc2%!e1PEAcX@h>XGY<(E7+tA)hs-{naQdf>W0%kA8S{VGO
ziByu40kR|EM7VyPbT%weLGZcn{Ee$Nv$NeACbqf^*FJk%in`g@m+cgy@IUXlA<WO?
zxpbH3`sJ1*bMEBNg=puWmZUvfI}{Mk%U-*@MH0lc?7O#N&%Qf~f0UN_ktB|PP+S7j
z2BczBn$E_XYJG0hBYwrF1RDBiQXRPGV|r+J4>eyr$Vj*&vG<5z$Ct<s7W<i6bA=l7
z<+N!Y5=%m9y7Q~eFjdEfyXPkkoaPC{+%SP4F~#;G;<JpWc@L^hZ!dKlQa&mz6j&vz
zBeR#ghkFQ)ulCjRuz(RG;8D?qP8B$UAhf$w?v6`b*eD<Lp5MJUaVR#q>EU5sv66Ew
zsXvVL1*Vv7f6k2`6CD}u<(nU_G(F)PT$!8(YJz%ozH2U~A|=2zVBW2?F7RW&+eec@
zO0G3jJy4^W8%#>fNnvAcYr2P45@RHkqebgAnW(^*)h>tM6L%Z-B1dwzj;7sQZ3Xjb
zcK0>I3q!3z`7deb8JhHT9!E|kbmY~2y8OvP3=;_{L?M@rAEdv8+BOpO4kIP*d4@Fb
z#-Mv3X@wAP^~e^33QR&lb(VUvJ_m8vVlBpKZD>}4ia27rR_ZpMqB8kra{cUXbk{&=
zfmpbO)#nf6CGDoG5WS|(;{r-RuK<z936wk+Bsd~DPk23Qav^-R|BF_^i7OIlHTT>0
z<#uzHN!owJ01q12Wh8RdAAW%o4*!N$ZDix?X@o~%6GqCF+Z9{*jUPSSN`N#L`&i&H
zFsZN402{I?Iu2vwp+l#i>7fKF`sz`WUkFlz|8>$0R>o0cD;{=7$o_#_@lAYyo7or1
zG=ILAxuRVG$o1vRnRuJfg@!DFFQf`5<~)<?hLX-v;Q?6hZTFQ%*z7@r3{@48VQ1zW
zJ0!}>q5FCwWUS;SKp16!nl~h54}l_p8v`biq1%pwaLK%ae(WmHzp5EpFYvd-{mU|d
z+lC39xD*^N@^BczIUf-bST}?u5}>O<WuORl69Sa{&(kpRLm^EE_#HoE7!(fpN{u5p
zDwwIFpP$EX3Hn=m>6ox9QmmNHkZP}@>t3Gh+kyaJ9{P@uTOptPUF11DWRn3D0eIqw
zB=<jsuc9vq@(Woc&6m0RK7A3->q$&bM!Yl5Ndto~vFUf=nz9<g0S?WYvK;EG|0T5{
zTA`>nT1&tVQCKRv|6ELT)1j?4>zlsxL?Rx`_0_uu+)?;pIujts#x^wyVhYAy1hn<D
zg#+kErzbRuK%szNtFl&iaC%zt@6-YMMMXAVD!gy6w{pxOMLyq(sb9Y!7Y8OeEt9mc
zUtNk<<H`SN0Zif-=lGU|+Rwdh?UfQ!NHsSxc?*pWMCPxI3Q!Kb5f-kBt_TgqzdJ*e
zm3~LoYq0FziGwfhsa>FJ-Nz;t=C%eDASnIm_SrLStwu%2FO*n4PazqVai=AyfQ8_B
zMUh~tPw8BE(N|>M?YHHPgTv0>SB0pGC8dMwXKTVfCFnePaC1+T7GBA+{-^xcM&3WD
zFVW&SCfnw@M$Sk0@$K<LZ=?F(dkA-g(zb5fiBl^?G&(4~S#!I4JaO0ItW(>ibds!f
z@E<RIwT|@p=>Cszrb?xDS-9m!l~(kKG&-|(bq{m7`?S}utQQ|`T<xTb?d$ywhd=P{
zzBPx}f^&01ZIpL4H9*Ln=cXH7Q)-h9kIa>xg3*hAr!4YM2|jK+ria+x%~3u@03;l#
z4S8D;+Z%^`*I3^kg(apE(a$lw4<R1kUiRBw26t49W*La8bogOJAO<AzrFu(<iaNHv
z2dz?4V#r-TQ*zSN#*p_QP4zmpo(eJCaCrd_lpB)+GIIv>ks!n`$QZVlni}IlG#_!M
z*sg)kPeXhu>E{3w*J9sBA<d|(EuQ|Iazy8J{_vs3jpdn%zpwp#6V!Fwv8Bbu03_T!
zJYtR}gFV(BDchieGy%{n%r2vbun9QyzeS?X{1gm6kdikggz4~uBy0Zo@i+dNo<3*#
z;F`UCX1_h0F>l@+EpQAv%iEW4NjlAE4ZHBlBXqCBeXC3Kc0fVeK8|fcnHfk6vLGnQ
z{9Vet@q2X3JI76enK-+94Uz_8NWTMUb?0GaxNsrF+$1(ku8yZFHm=RHLyWzOYGyRj
zkQ}aBzPYiS>$!4GNWTtd55z}gTCGUlP3Je+6X%a2pYA+g3=k&QKF#eMSQju`=a5aU
znW8y)xGwAb3rvEiU|d2?mt|dGMTLC&32aRkVxGhGA;1VRiZF&@l39F{=aUQVO=$$)
zr4F&quCC^6oT7_3(U2#N>lLB3DCjgsB6Kdqxls@i;ZLLP3H#hD+(*E&l@}qfgfP+J
z#*Jrne+VcGM1>eeI+W3IYv31$Ce+)@4roy5>{OzOfItPiGdu!d_(L>T6;jb}^U?e}
z-<ds|N9?p!K2E`}QdxQFMHjv~gnixP+40^=eC-ls_c=L2P*45q@&Uzrn7$dw4I%t0
zx}PDx2jQXE@K|0H1;;0UWlzXhg{I>U5Ag`q&ra%_)<<GI0|m%!gf~SZP2xO*iZ1ct
zYV;z;SUU5{D=28uOpRXL7uh&|#E3xuOdu&suw#&`deHBWMq84{sh|2hW6@iW6-dXg
zKK?MipxC<e=%lOSGl7LJ?YNjWv5=~z0&S#RD7R=odceXQ{Z59s@$6F3g?g=f((Q5C
z%MGW}jjna4HK%pe%#awxsl0WI<sW(Lv%f{$9uQ8N$<9kYeUw6Hsm%N(W18oSDA_P`
zr}dQO{fr;3LyMN?idD-@ua`(`#vbsulBH7S()oQ2;H(aJVldxc>w%g|#l$PLVHhb+
z?MBvyd3P4;1mllUTU}*6R`PVdZmFh+re>_JhxK99C%s24?}xcJ8d-B**0Yh*Mb@zq
z2o$BSj<4SK{&^z2efTap$I4QkpU+SxQKAl!`h}>LF_19KJuIc{Qjgm=r|#3yR0UrR
zCpOlB+CL!%2?*wf>NMKz=9`{teMUvJEguT(1YTVV$*^Wl{)^OI<ce+-k;Zplo1U0>
z`0U4jMPEAxrr*=;WrSP|g~4$4AeCTgD&LY$qAjO{TE%IdQ_Px}6&qbFf>=o;5{Qb3
zXkjL7YI>QI^Bp3@lBy-}2uH=mk%|jNeE-lLgw?<rW0+?~%z-!antTT70QcdK3myX<
z9nLURA7PDI|9W3OoXy#V9_P#D$)MN!cR*l{Ax}ecH9VXuwH+4<s8q;Mj<W8}s!Q&g
z0<}`sk8=ph<H_hgO2n5<Ev&)^_p@Hbw*fm3<Tj)CM2zyeCRLzV19YL6<pz>&eBl62
zBKVg{fOWF6vI53LDj*^Ltm=Q?6sL~OX(RAGc>V4M3_K!lC%E65_@QhBUdg0=0ZIkv
zZV-vZ?sw+H_#STsKRCcZFA&}h%|f;NlZOeKK^Pk^ahV;1dn}I%>m}4&ergy)rrkB4
z>46a$USIU`(bA%}yN{L-4RdY+h%&h0P(mLNU%KqFF@Cu8HMJdgQo_4n8@TsG%&Ru6
zw~ybJPf6YUZR=aT{e-c?P1Hc-<QvupS0IMIFaMkKq`CPZVjCv5pQXmR@)Z*^ny}-x
zQqIo%*yhx|eEhX^=S7;dnff0Hf&%`zi{unUcZiinn3-24KpULC&;h&cF4h+mMi*sM
zQ+}^KNL|J-x?~L=dR!0cJQ8TFL-3LDg)9(BDmW6f7{XPd9MFByg~<&QF<@#)I{@nZ
zMVA-h6X}t#20g*YSXhDjK=n7`j33?G#9q1_tu-)0wJc}4GKYN5I7%4iOyHz|HErUj
z6X9P-3Se3M<s6aw&Y@^h278e^d8em5$1^<^iU5RVH(!Re8>)SHG(l25I_9%OK`b;K
zCL@@YT5UAZdV7Yf!}Ft!WE9mc`GMo~amIkh8WNI|565VybKrTQ-#v+eMN@N<=J81`
zI3D<_p=rbemTm%35`aG^8FnhNef|{uq1?^y!2=LbV)grXj#AoF(*5wFt-i|A7tGR^
zMc457Y#T2%ohviM>%@!<8JW13>(So|GqthZh0Om_Y#A5dx1MC<G5)0+i=6YX#t~=w
zWq3d)t$4`-Gyg%vjbP9q)i@y*;wTh!hn!HpE@r1{&GI4o)@HKV#xLRe9n@@hyLPlO
zC)Z}L&;9b<z4}sECL?jP_|U|Gy2F~YVQk`=jadThto8WMdPm%s-i^v9`}Q4+7+?M|
zIqg}nzn``Kln*l9tI?7r5X!v(=$^s9R!kx7K+^mD4_=V6EiYx52OXu<J@2$Orb;!@
zb5|vKh%e*TCP6lE$4PjG8IIaTe2G;$;ixhCRfeOFf+MvWQV`0_lvwB{5Z$1SpaPgL
zz8`02nky)s$ViADG5J0(mE({DrOf8qQiz8YSg9FAVO)wG9%yN2_CCK8Pq^bvi%yFp
zLP8t1UAHs!CJ~<UTxhPfC0f63r;_In(b=6&Xqo|Mi<F@3?*CYlzq;=fWI5xi#ks0+
zplX4f{eTLbi?{-PioLYqm<CXP@nSi0C!xDXcHJO?DAC3Xt(nfni+%Xwc;`Sa^XXiV
z;5Z>GBU73s67p326SLC~2Amg|MbInaBg#r0L`gw0JXhLkgJTW2AhI2KqVZ@zb?Q<E
zSa+jb=U<%HhVS++jxI>&KypI4XLvhM5(-yFz2od!5XpImNYRI&mjZV&!uL_xsjx2Z
zIm;CyY*OiUR7Ds5B-pNn7_Z}EHot7&*2{G(9Fat$hG>58P+^J^)dFmesF~ArFgzhg
z20k^I=T3VkK?qxg?up^ITm?ayEF1{4$u%nAcFqL}4UHVnp+j|(Zr`Te0dwf0g9>jS
zoUeG9l+u8jVza;w0O7lK1{#yX%s1Xy6?o@zIC^vLeWqjkR5>8*T7jjwJ4ZvDJ1-hf
zt;xqw#&!Uh`K=vW`C}QcXbJojd!NPK{IR0^ab~$a<jU60q>)tQyb=c^PKtmnuNjtr
ziu+RH?{wKY?zP&KBR!}&7|bos8^qAVFRmL6bQl5E*WQ4>78X9oMT>P2*bNX`*_%;+
zE%263>_fbor>6`v6>tcV*hCmK{<Y5Lo`ic74=p03$6P=UO)?-tCd3!RCMdCqor(&n
zc?Q|g*K}Vye0`Zg#W?p1&SX3YA3vT&Ya7D44Q$1j)u~33Wa=|nnIWGU*?T%oM~W5Z
zqsy~EpOE~7sQ>)@PhirIKU8Qp%Zt6L2}~)k2ip=hiR%`lmEHra%*dsj^8{!J#Vp9D
z^jFv<CnxP(o`Bdk$yEpvfVm5%3GO}n_6WnZnMnuM4S(9>E4t`_w(FiucRlnk;0Y!m
zAcU{WVKc$7hVxffx7Mm4n4oI%A!;v*vznz&^2Wg7@V0=z&3^GH=R6<2nR#KYWLcFX
zW)Ro>kv?N?kdRsR(ls;Cmm^90dO<te{JDdCNRiuD{c|ISk}Od9pH<Qtx*+6wefl-M
zzNTw<k80A+@yS5w^~4yNw_6@^)HG@OyTaHAo#zXRSt%FjLM^`CqlvKgW@L*^^0nf+
zAGAfGO`vg5wd9o+J$;%*#@^|x(<)s=dO^V){8Y#{s%)^rMGBL-NbE5wDZG4FAo~m<
z)rOH+SonnZ%52jkKXb*;XGR4r^3&dMvQt-W4Y|G635o6dbnNcCkCFD4_rL6085*P|
zf5Kqh$<Wr`j@&cOq?&Z4QNDVK0|)AERQvPYA^MAm!D6<)@BZhFjMg(Uic3gX+gdO0
z(;jZEWBxMogDa&sgl~&FhzV*A;>*A9fto|fIt0o;oQFkyk7=-JDKHVfX{Y@8vY>rn
zPii{~-K?$msWmzo_fM`dE6Ieer>M2_gDHJg{zq0q4|I+e<ok9@a*@NUm7XPR)%_8+
z19jnhp?sh@vG{3~L3nL*izp8UV8BepXq)zmSz=Fkah!w8FDUMj6*vC!;kggkSAfwl
zj#}QhIlp&cs-Z(1WtcGS1wKM@%k$_ylnTDS+#HPp+LAuuD0Ms>bwm6|jvzzfANyom
zMFssN*i+n#5LVEgVB#HJss2V{B*i-Y`!`Py6g5&=1bGx%A^j^Q#q9ifSB3SYgamHi
zJR~C{u^i?OJpuFc=ke7R;yJeXAR|Bg>jJc^=*AF=j?PlJ5yvkqj2wtm=yIKYoU~Gr
zwp&wq^bRBr)`c!jeFE-PB2IHbn&^gaCxz?g#0gC4kI!7;qQylCnl`f^5i1>&ZfBn9
z@z5jCEv%sv6}}i4Ne&OJY)u}gITy(Atk<)AAHE6V;8zw~gps&fmOX;cQA3Z3@+mjD
z-vH4i3INP6um$*VMM;SVQ~?l{`XJyB&Ic&tT}C}uevS5pt$LOnfc6LPD%uxhlAvn|
zO$X-%eI0n9eg~+;3F^_K2%v2li*6Z%VpxcgY5#s$B}@AqI&;E=a`x@5gRE650Tvwm
zVT9a+Gf7Etkchu}Fx0aJL9r*f@R2|wg*rhPC+I_<U`8q}CY*XLeNc38tlAVsomH~h
zg;4_#dlp1}!q=hU|0n9joMLhyM49_?dLqB)!`CNG*ba4GGB99l{t0t85GqKKUcL-|
zEv_l=h~xO^(Z}uM<)*K2K0~IB-zIc=qJ^As00DdLi4JAA=#w^~>6aw{J0G5j`1qmi
zuUlw3Y@Q$qWs`XdK!rh=KL5AUOw^7>6$jJl`-dfr567zV&_{8{9iN_4_jpxUD1m(r
zE4Qk3IswAIknZrfaj;78y{r9~gkZsgBwuT42tKEdvr})@FFZ<U8)9CUU+L@?C0xGr
z=w$^auAE0^KX$oOnadI}-G@m44yl7k@77?ULj=_TI@*f%`Sk}ads#YLe<P{fOUCx4
zJ4u&p>HVpV;cY_A&mCd!XkNW@_4pBb1^52o+ui%iu5#8m3lnl)DhovfZH2a3K6*J@
zm#uC1JX;bw2CuM;)b0>vgk?t}iSO>oe3!8gXvQPPzrrJhc33UbM;eQ6ct!s%Ej^g3
zbmVwH<32pg^-eduHN9Z*b?~!?C!5szG%9++3Rr?yf|Z@GQD{3hT3@6K8G5BTH{$q1
z^tPo3UKvSY_nE|?j-%lklCnW_<;j4cJxP#!F?T($^8I2wf(-#4aHBQA<gJ?>u-^LD
zx#mFw&S%kSOMx;hZ$vq@ha5;uNf{{jaD2mB@=CMn7$argAI1Ki{Bv^)WkW#EKm&cg
zn7%zh5=kk}>7e*cd$?-6z>k1}Bxs(~9n)a0!(IaADHfEAmw5S1eZieW`TrehiVNj_
zhsTapub%Vs^Ls_&w<_Z6A}lRhw>R6VU+^rmxC{%-T320N7ZeW*K_pRJES=4EtRzW1
z{-Cne%3O<+X8~gNcTqAvO#BFklocBVnLlnF2ukr-bxwlV1R-|j8MGHi8(i&A^C)**
zdjrk6?1`Tw=!g3-?LIy>mi%IR(mV<idvticRRIuxX+D*G5ElS-0Z)OPmvL(m0G$v+
z;{ijQ>ak<c=EQJu#h*0*&iyR!F^FP(U!8R1(A^o8y9*2O{V&`7kRJpr5XRu31Yd=;
z_RQ2as{#b%LQJEfja4cF(uu>xJMn=1httWAm3Z<iTvU%s!S{Q8^Iw=VgsRv-tSsRC
zL6Q?zJAk+Vr4c0VaVg>Z_@zeyC9-1I_kQl~ZoXXTS}~EGSA_x3&$o_cOhHOd+-!v)
z;^+zFC-uTwHiD|5mmroZWf23R02ILlN$}g<a^zuR&bLOUddk~T2?<`kS7OWhk%u#h
z1JXhachHA1muGr*h|5Oq(-U3-gUUYxlQ`_xI{bJ~ahCA&>tuIBTc%ar3Gy47pX0}~
z^s*2$1;`ZD;HmA$;?FJ`(Nd8C7e-jqGrh@syD0SqA9q~E2a7!`m>+tV@W4@SWLJ}u
z?BGtNZHxm-m6yj9qHI$XKROb1Rrwz=GhTm?KGJ0PlqxqJ5a8>45HE<t#^i9}Z#a4s
zha)IUNNz68o{DIkS%%aQ`NeLs2z<wXQc7!TZ9U3N1+z_9M-8ry;5cQWaDqDHGqC*p
zp{3<*Q3dh%w0Rw|&t}rA@G}6LqEC-QHBep(CS=@Sdi_dzkD7w8q(?q@pu!ym6Q}Gq
zdPpTeJ)s5)gf@v0O!Fb9$cTEQotn~#$uTjf)wuK+4o9ggNM}FX4W*R5g~c7;S?ep3
ztX?ilGoOmx6)?wLo>%2QNqUzcY%3wg^H1R0hP1Yg9>2{VJdnh$IAWCqZu+?7WT-8`
z>>5kxFf1CJWu^-wt*PM|n7r3Tp0SUdeD15k#x0s*XMUd9U2_?ZKVF@)&EbE1CF2!w
zIrd<0F!mhXU*W+(FjbhiVWI2f>Fh+SxWP6sNfOrZ7U7H`4?MKaH6H)g9evLLjUDdg
z)9$u16zG(EpgK4ea3<n|sSd-hGx<eKHhh7LE4Rtb>>Cn;ob|}5DQWEAlNxeexc?<a
z?CXyuFYKd<tzQzX4%ErW@66r9F0u?4PxaKRaz+u;m0Oo^(Gu_4BE-YHk0*OT(3VwI
zwS_E$Z&>l+3wPaI>cMB+YD|fgG$iSqdO~&Vl~z?Yi=0_M4FZbQ2pRlmz&c7L^!6I-
zDaen9KzO=6v%LxbTTS|p#UcL@tcC3}4G|o1Ne^4b6gP%wH0Z7mD`543;V9pCbM5gF
zLo@f@D?R3Zo9QZHZFIk))loD{tV`v6U#_TnVM{Gi^L}Z?j>h-m^82X*l)w)kPpzaw
zpgdUj&pC-C2KsGiS1p0e4n`exyB`XwOB?aZ)DtjfE;Px7;Sj(sq*uhETwVGiz%BpF
z254_jEz(v<Ra8*;gW!a)`31$#qVy(&^~LG4B4;re7#cDO+!y8Nk6So(81msxdui0Q
z<Ah6USGeuv1)0em5Jr$s()+6Geg@W2wK#hk(Fp)+6kcZ<*5lu(@50P#cm4VyO??2T
zkpDyE4~xM||D6h{e#GU=Ktww61~h*mV+-6-S250Bd$V?LQy!vg?*^_~AFML)8KHhi
z=mTJOAX~#`FhYL#_z`X(fN*#OH~*3`T;Uz;PCFRhX3>$ZGX8h+&)0%O%v1xu;>xyB
zB`E_DIy;HcsC+L;xdiU<#sKM#;)bzs7Kk$1Z=W&XanXL&;2~{cyo<_xA{WYq?Eju7
z@O`~WZQVyFWLi4QRK21C(G5HVUX_etSKQn_Pr88s!`Knij8g@kOe{i@?>*%mO8T02
z>ZR!b>ZZ>$Ffy80ULS9=NYhcz==eJQ7YVS~#9|@QYdM`po2;j<%W$9|4takt?a}TA
z(lK`lh9-)gB;WYYng!oyj}~|`IFlL|hqEFVX5{#@$kh>Q_!p`x6w};vRV9!u{b6hT
zGDv@r);2}W_!XNAF`j4GPb8r8ad3Yy0O$mOmz%bi?Kq)R6IUzvYVh@ND*RgVlDN21
zQACSeUS)1{aX{e*^hj9);ks~*@sL|cCqjAD#_OoVfGrR|dfgBguULVRyquh7XbGV4
z8(h{!y{Hcr2|oDb)V!oXXF|+9G`b^71Y<qIgM00z<IjeWd<C^c$BSbLfqRfh`N#wR
zZyUE&05pXdugt5Rk=|BEult$}8?r@v@4nNv0cvi8BIuZyx7W{xS~0N=Hdn+TAdo4h
z&qRb=hyv~z_<`^u?zq!^VWqouqNny}pwO=1k#$i^qsSKnt5<0X8N8>sH<smenrD;4
zVk+tjT}&%>&Kzi%t|lkOCSg+rwbS!g&Ae~B!v?Ir$9HG78`F~tm$pBv^V04{9Zmuo
zJ|z%-!A%Fv4$KJ!xw+FR<Fj84KEI^fZLLg0Fg#jo;oq<~o_X(;Qp^1m3gJi9V+l3i
zuKnf=R^cvKTl12zYx?-n6tP~)+^gK@zWk4Q3ZXr%iu-cdpO}|}9>0BR_+ifixRp7u
zu=8QGJzdpBQiALJAQW2z=oqfw@ASsR2Zm}Plh?r;xIR+7ehH+ud)y-BDBlxAHmAj;
zYWstxc3SSnw5*!GrisZnz9tPhxNq+CiK-4%<S0v1Zr>y|*rWyaN-QC0yR>ojjS1SC
zF=VRq2nq<SegSZd?%?^JzI0wbj#83%JA#GV55KLu)o+lN*pCP-*j&EX#Ym4}_!u3<
z^o#N>eL;;Gw@NeZZ+r}lj4ATBTx@LKPc5~H)8O96j33(qhE%afZ&;hucxi>A-4&~s
zx(Mx^`FWlyLiM0_f^Cv*R!pl6#%+R&iwmwlYEFf-XWjr6+UI(|iUDcd2+K~s@X{a~
z8EMU4Fyer+VJiEC%MgNF0%-2XMuoXL{04yepST@mZN+4~PmviYHonR5IiiD+k{7!F
zYj3VeC17&E?|UDg*5cp4z;=_sz?48qjIBS0g3Ww3XMJub;fM8&i}=$h9i62W(Pm`w
zF{La4#$pvg?gN(k%^TEL;I+e(gXt(tv`WT#qQoSZ$msQSbe!4_YinugL%1pMP^}k7
zTHk*mPup;!68P{AaN+FWtP5M!I{V)fWLiqe&himV3WPiF-n|3T10Q3aX<6sYGHwn`
zIM_)r3Sp2lHO)cmpP(Rs9AbQ~I6!yY?|_`}li=@%0xdKh;W3zE#h7^_`L@Q<!Ultj
z7LZery@{=67@iTDhcYk>6EBESo$V<n0N&yjfClr=uU`o%DF~^lKWPeqF}b;|jg7<C
zd`o-#oa$;tJn<PFDJdy<Du4d`31ioMCwElS_yS&Kpbl1{>dP6B@RgiO-xE{^oV|>Z
z5ZQ<~yNLrTLO9W&!o*@ol+mMo30W2rG{E-Is$=Yj&~40}P)^~5278QVibJk}`1+yg
zZIb&}_dSFyQ%46@Q8_uep4^LSvIWA%g`-&P>j%3A2mK->MBkX4fFkst16@~_?hZ~E
zXw-M${J$x~zWBZT<;$yx+DVcPYfwtB*n!6qdT~t9xRFihdB-GPTT|JR5u$sk!x})$
zy?&`$EWd1@R3Y1YP{WG{y2Se5S6ET8@Os_Q>T-jj=WxQKlUyf{nc$)Xlx<Vg@r{SH
z&YPJW5@S2e3J`+BIQ(Ik=TAADKj0ATO-ZuZ>bk@UN*oR*{`SX1iyjKA6_acikZFcR
z9aNE_$RItp-*dS!U#1|NDCxU$v)R09sDZo@>NJPy&A+I5cvDt(Yju7MU{m`z5=3B$
zCaz#mK6Wi?a`|({OQGc1+&nct9?z-WYp=!!aZ>&tTOEvp8Xex{PB~qYOkm;?wv77a
zHyF_UV6Z<TjLG`;vFA&Y|2#?GzvGcYflHR)8KDQ3#5K!e#RbtRIEi7mn~SQgt&KO{
zcjxCV1;$vKWqERK!r;pLV-w;}4%;98KP|vA3>mjzj_!9T(F+}W%>UtjU6^sv!l$&;
z@JSXH($}E!P+Uwb-|L`RDVvqT2iMsp)$ebq2Yc@%Ud*p#ll4EJrO$ixi?`K)_rkfL
zy1AI^+Sm16A8O_=i3vr_COsTg#%Eg8uCV^Qs2%!|Ok@)SmVh)DBLKh&R95(m6pXu%
zwAOk0il%t8HNN@bQifDAjo%Rl`ucGGWOTel98#1h=7ow1;?IS^Yeoiuvw#kNnMfy|
z*jANdpopSXc{{ff5D3MpY%+3N&EI-197mD;IjIzY0hych5Y#~O=j*$*>UKUDh;ME#
z5>#4k5GL~;Dao@Zv-H0qFnVk){kQu%9OUYAGIwx-p}o^Zo%O-<^76!-#LO2jP;C5d
z$O#<*ho1{QLQ3G#qsX-Xe>8muJl5_0|7|2>g(3+dE1Rs05<;?4$tEEwBV}ZjWF<*f
zRzyfrA!KJib}B@+Bv~QK`oC}I_xC#Iyv}n@&y#N7?{$4X@5y*ePEk=u?Alx7m+J8E
z;!LON$4_I`5I2Q1jEGrMNU{C?9Ss?QHJzQE*ip3Fa9<}TBw!n3SbQUq;5htyBrE?Q
z+p}xs3k}yzZ=6W$L~MlyO^My168qTB#?g{FuOF?($h9^v-yf=$;=c(B-QObj^LsN<
z#wD~D0@$t{ThJV-2SJQJGqfc#hO4){HF$bgj6Av?M+Ax!De5f!2|@PlT*k~_zF76|
z#+Gjq@reG}<1tsoKYW{mBtY0PC}VfEDTdD*^c4Ph(9MktAR7y6qGMc0%|ZSUzAz<F
z9pt4drU-=X;7JD}^a#j&&Vj|{QpP0~CGxs4*JoXF3JOBe%>b2<nrC1TrNf8ltk9oG
z|K#B0gsd1sN}yi6yCqm@AbEl<30gvC?XYx6-Jl8g6^HO~n;9RUm_SB3W^Q1{iYXnF
zs18CJ1<l!|pIbit`bfRg<h8wq*BNQYh}cja!^JDW{9jv}h>#Gh7i#=GJc!GJ3?4hX
zOk$g35iIgBsUzz%J_t?`6_tqNIYy5<Plct2ESPXd0p5Zh!{G6^YaOkv%%N&psizE>
zQ#<(En*gzcA3?GUYSagB@G_=lB|}b{-_u<$iVvxr2T$b3-SAJDH=?TsTmz~dA>vEW
zL6io5gNtM?kP|ydBUcCk0jV8&pQ`I@7T9;Py8enfbNc<{+rD35{t$ic_BUj2;?g&u
zcNv2EmewnO8=s7zqXi#+Ph8T~(HHCKbPq=?>4}vga$t7Mq$DNXE-|H4?UxVhK2ZAj
z|4WDCi^gL2QZi9z7&B8#y|Fv^?#9KB_it6*d(XIZ+DeZTIB{)yso3uDu}-c*#rv*2
zkF_u1qCqj=n_FULC9m-YWoAxbS#rF5`5=P)7%;EE@+*Dhh=@hGCj#@3x&(ty@q5==
zp;k`m$Oj|EN4fTl+4lemcV_s;2A;ut4<a~tj|~?n>HcpM)1#3P;HP+;WAx(BpFh`5
zn{n5TrbpgWd`33(PvqV*z`_c2mN(IkLzilKYvu^Y&Z-isj)4b<6JLAntMrvHB$rbR
z*^DN`L5c5<ScyS;yE=7FCtZD^^kK;BT$VI_;+~N@V%q=aVsPVFpPPiOee)mBt17~x
zfCPDCuEN<3)siIaJj2!-+-RRp*NIP#PbtDhjYAGePET~~au5HUSLI?x%%<;3*-+lA
zSI<|D{k#lUyt(LkT*H^SMwY!nDgj9aCJMNzhnS6kM+-|1k|1Yp#>K|A=foh`4L2js
zqRmuMh7bbM2^OjDd$TC>MPEh-#ri;Jr?~&YW)!S1EumKy(yPU(?`}Uo2?o{>p1yje
zD-?sGw`e;WV04>V3LkyHgYm)5>s^!m{{0i56rhkE9<txEc_1)C7d6&Wz%{2n6{B9n
z0ETH|=MOSQ_15$8e13U(L8?)HTTrZyk}&N|pghRQ1pJPv3-1FGP)y$mGf*;|J;4_Z
zo36csLZ!F$qt@z^7V2}X=pcnn#ecR3U1tCUOaja7ncL1j^jXdSHdVhNX0;*#5PtA_
zhZ2DGRRdxlE>Nn2^d8qfT$CNDY;nDCK!BS6#=;oC?n6GkNacUojbj%q!_Ut)dQ{!p
zf6lr^W88kYTJY|Ng?japmEXK4Kco-Sk5miN=o~*3_&I`%%yZQle5I4j8WQ9H)$n`M
zV=$4Dm)Ck?B4Ykt8qN;}N<hWXJu4_6h!1CtW`Ssa&nX>UX7#STa#Sd}zKM=C2Repi
zLfrStiBSJ`Pa(D#zQ?$h7)@Rv(eO9us_}wYws~>Q$qDWhY;zoupepPBTto)nH58}9
zmk}BQTm|`EC_^)S*9s}pw^?9S(ao@&$+4sHy-r0<?T)9SF1vcD8`A7XaR)1>CPe_<
zdh|$Di0CSBnZT)ZHup1-Zzq}VTC8-)>ch7Ny|jBgMBQk#=4WFK=r~J;{R_(D+|N(i
zzC#Hlsovbw)ah8Hb^*0hIF;?s_->cY0|CTuo~Hls02*|{(qZnxxmn?<?qp%Bf_!sC
z8*lc3yYZ<+6Wmu}luT(_8gmE0r~a|xmR^eDzQ{&UeLd3<B!<$t;q)S9y$m>wm+@d3
z_&n@?^)|bYJa9U8_{sIB*PA+`^<IW0>+KpByI+t@`vkc~fSoF@jVIzdf-<l&o6L5#
zCy;1=AXvG$%%f&ihiPniCs%ydlyH9C(d5^+phr1>r0wke&B5C$v!ns0U($|ImF;xC
z5zzLe-__QNQFeo^%AbBrg8;A^&l)ahs6gN79%QGBe)04AdYQ_Wb?D%ubwrpzzm0%c
zbl8BBuG8UStp86cd^Cb?;Gb!)(rQP9@!1^&uPJDv@iV^^XRh(?AgM9bwpnx2fW}h%
z{!O7-Ad8sI1GLEJSFc2-;or*x#JVo@sI)(<WU=Ml@l;;`&(gnt59X#D%f7|Gd+JP@
zUpO{Wb=+Rn+xs61z;yP?;q-yWdN*}YO6h@~SLD;RQL$~RzJkm-y|>sQfW<}w;^j2c
zSl4tkXMouqm5N9gIUV{ZsZ@AsaSnJL(vHr1zf*N}A~B>P8>rPaKVlHeAGqdyu-&II
zJFDE^fBxdxJu;#-A|mraoq3@U2O{RMf(R#pOOm-Z;MsV<14Nju-_DoD!W!D`Q^z<6
z8FO(K`3NOIZmqN(Q9AzuMxLMS`$AhL&}AIih^Bclo$$}Ct*F;Qy)U0{SCtJrw8X-T
zf-(PPY*ZkT7?E2@SO06wT4CXg8g?9Xr%u72IXyeemt0K**CzIkz(u*Sw$e?jOVpkv
zil8M;(et5&6BZeSqQkSPZ$pUE7Z`we@WN5dc+emg2GazX<l$}FbSqLK-Utw+odi<q
zu29fthS@(<ElGFs*DvAb+3O0)IGp^d{9PPu8x6*@o(ZolDcq|K=d8MO{wu1y;5V*}
zJP-~QEDA}0acewZ7b_a=W%brr_(!t7x+keqRe%|hse$90$?4g^z%f+qXFNFgkK~o3
z>OE#bQri}A^x6e)3U-o_WkG&(F1Nx{!lGpI83WtiprF5$Cp#tXPweR}l>S>|Y=#3!
zhJMqP+?l;@R=Kq|3eXf{B{7vi0yEm@rjV?*3Ou2X0r&_&BM7Sq3|gU07Zo}3;YpK{
z>Yi}xI{og)ISY91UwY~@$ADk7uz=(mFx$)$P$66tps*m%0UB*2^oTV<!0(~%MF4vM
zFfdKxAgF6W9~;<90^;2a8IkaSFBsI2{JHIQN9G;2FNA{GO8(v0ge(QX)J@&d-y!(|
zIqti+Q&Hi;?o(!_2FdI;zTNGFbm(lO7q}L|yZe;bGDkLw>^*hq(jnKy{WKIsCg!Nr
z1q)^ykHZM93geFw+P-5!eRP?ZfpW=PiAr_cMb157+y_z)Bxg*KBQ^y`(z#sP;M(!^
zPO2oVyr`TLE{Qs$Hp+xww7QB@nm=8V0Cb@aIyfU}o8A~R?s$FsHVFZ@IWn?;g(+jc
zQg^z(#DlZ@r=WoXC><___-D~=!ApI~TU>qpNz=+zQUialk7QfQMT&}JL_!e-^LUhS
zH?oZl4ON*hQQZ4WR0EL_5Dak?y7Jje%O&X&&6a(_tqPrax7+X6T>i8-DJ8pfef68J
z;y*SUSAv|vz3)PDzMgXe&-1bm|IN<)(j{TGe3;d#>Fn^AaF;e}>Bk?K0&dE9jyHi1
zc+4t^zVeQRxlP5j+xWEcaA6r(URnbFf?kj>u1Eq$?mBwHkO2g(NDt+M)5i|pez-H5
z%zv)>TZi@6FvlZ)zWYm@2oJ*+rmrH9{k-{&J^Pro<nKZHkVv+n*oSC+wCs4`WRj3T
zvK$mQ9v&;HTkG}}7FE`@6m~ystX7w>&!e#fDKc;X1Imh#Mkr3}K`}ACtnRM%NQ{zj
z45H!t($ez%(M~RktlgmoaGKmgR6H!aeJ??hR8;t0)^fX)`<yU$^WxWWF+stpU%wuQ
zy}5Mp_j!8t`QVl62{*AS#S6>7`GFHA%ej6SuRC)1k#Vu5Q+<jumLGE;*GCi?Am#?(
z2e{4Xyv5+wd@}NSudyj@^1h9)**()&9UYOYP5d&kN4Fi`_p4V$w6X*bABI+b$MDTE
z;6OJNk{ibk7B%A*G-}79fdySbf|oHu0{{ln`{WfeeM13T0B6n5AbfXMh~!k!{qA-u
zPBb|+_HuDQsv!~jA17w%r!2aK&V^MU<*;-t@-NR_K?Vg-L8JE_U*hi6Sjj;-R3Q$m
zM@{*%MSd|%=FGbaj9<d_0!kVND8{Y_PmP2CQt&fS0`<TT5%{Lk!gsgQmN>EemoLl3
zlf#KO#Jz2YlN10ASekl!9g6$SMdN^lJ34aLy22raYS;s*gM)!Re=u5GIMzRN#^nL?
z7^I0>CR7sWvw4eZ^|EiTKA(<kOLrz^BU9atUQNHbTSHKBWfZS>r*5KBkfVZxMJ%N(
z`Zqi4fggz>9qsLJvsb5wPW~)6A$4Y$bLW<#Jujl?$7{~hdz~Gt6gWUY@HshCxFLMe
zX^cAO7y1G;6lBeg76o<@I(#@(Gwwi6jrj=|kdzcc1LK4*pgaa8YJhUA?`4$5fcrzY
zi5~J9U@C(tR`|3&^Z$VDZBam0))P?RP@u>6qr=78`ru`4HQ_GX{fq|U^707?l!=Q&
zxf=*cWGfTnR3FriWMpO{9K*l}KM_~gH$!tCrDhnTu*7pjLg|A2JF*ey3(!IzWzGvr
z{9?x^>)SYee3erXR7VjA>xg1dy-ocXNJ2SGeWV*rt?~w!P@Ra}JhijQNlC~P5fu^H
zu#pxAeYoA~Ccw;XHw`@pY+wI*2=6_Gjep%nOci$^?iQ_D)J^fXoP%>Npk)F;>A{-%
zj53jAV{~w6etv++imTNan*IEg2`ImGR|wV7B!7(&EWH}SOYQ*Zw2{HE`>@4m&BKD^
zRj!Te+u=Ky$KCb5Tz8Q<e#MW#ciA$|xM)$VEvX=m@^2E8HR~~?_OwjkjF*yHbTXKy
zp=tdmi6iQv=}?C65lUWZv;mcSNdF!*7`H!GU4NHqgc9|Pke-IL7k)p<sWfqKtLAgd
zLhtELQ`hdTYL+_u#kk0@e@Ti<BVT!M7-tpxR{zi@v`-TLK>~vIruu+4aQeEx<NqrY
zy7w1oqi4XKU%dDUm0#xcC{-SRr}yZ6^E|Tvl}-M;oVr3z*XqU?!qt~fMY{@Irdjw~
z09_)edl`<%{M;JZo^*j-GO~knwU&PxQg6-5L)ia4(b+;@T>x)`3C^LcRKI@<jhy_8
zsvp1%rND6ktVL`AqoA^LuhUJ)nSqE;9c{ojK`b@b{f>+YzG!4jw3j;bx7B_zIyA(u
zZhd2qGzFfA+sCYKQrv$q-hGeBgupdJ0?jDU7`&zB7Wu})ud=g=?6+%d5`E}$Ip8BC
zS(r|~UhL{wh@MuK%qHno321yrTK&B(F?u%Z*)y_g^EmE930K$B4lkVB>Fw=}_ylur
zNfl2u1U0n*2ps_+hpZyx`QUC%KLji}_VHtsDBPhW!!4TMgCb(i?XV4GZOUsK`uX`m
zB8+pLi(z%?-0u$d-=dX|D(bXmIVGIBZghq+?8q%FT=HSpMLJ=|cq#a;j!F11NuLU!
zG;-n8;}A%sF|ho&$%gT8JP|+yGFmmy&Em3vAC{ziW$;$$@>lExKwb!dt1x|y-o22f
zkMhYR2|vJaW)3)bkzJRp+XLu#V4xhHFOZ;peZ(Xk@C{J+lSZIjb7o(GR|6dZ;>hMl
z>aqhawJMiB$28ln3|#L()S?eoO)$v_BX4QBe3%9!Hd20F<V*eu|Ngw3J6|jVi1q6o
z-kkdc$6dz^ez4tcBlCKD<5%)YlBa2DBk=W!2?;?woR%dDUKvZOvdeHlmxGhDv-7oU
zgHWwQ&(|EyuO-VDmJWp{?0>_<R;Z7|R4=?2!yuq*AL5rHI`iPU7;#zslyk;b1WOmb
zrrqD;XY${F+J<b%)wz7oP9_m&yoUQ@2Wju6A6)?aVY(xFznGa3B~MR71FICbwFy!N
z@sQy3f0MKO<lBzP>8UC7IppT$9b(eti0nan6E<TC9_|WZ^Y@=%7K@C8!UBvL4Ek<y
zCm)O8@-`CvXVxW#d_>GD2vGN~u=TE;a03j^#oz#C2DBXQ?VDeFD&N8Cpr&N!;_|wr
z1Z@^Lf@b@R5$bvwp^FF~&oJGYVDRwxVgXJr1nfEir3W>HpO#Pz^)YkvZ?KZ!h=KBK
zW=82`t0!{v&=1;NgC;>3^?=xJ%Ysl#r?pFgfNc-QXc8g^I3d`sKh%t%uqd4m%~|1^
zf!BF8yo(|}ecXNMk@A*WkajtHDATFmt3H-2UTfE%Kh;uyS|_0UPjJC=-G{kIEJ*KR
zzNTB&qs`DHN2EcGEi~ou#dX*f97-ON6c2C>kPv5pv8?!Ne=JX9=8b0A-oc0z1DIO`
z`S}}dB`+jd=k8~&$GB06B8pFr%V?Jjtl^4__-80AN}jqanu#oWbxgE;p5%_Tu;2&F
z%3XsA>5J*Ao@771)FtaqVqMV`ollD6tBnURgG@cdf<?ky^Ji&^VeyDBr}B{_%XLh8
z<*-^n!@_>x0Ia$gsv*qJ+>!Y6X?ykE-O=68qxtpV@O$ny@Rlx4I7oqPtbp>KUgYS$
z99S{vEh9M1b{MF32j>MZ)VLa*J$pn}w!6}kfDb-Zt{jDL#5@cJ%Jq3i#m&>q_QzB1
zu<tl`mWTr#y>pSD0$G+UB2RiWi9u8dWmF|H%g7dlN8B_iXkt&3UU2=6w)k0CE`(sw
zaGI&Dp8p&OZCnb;5)Vqzq@)Vc({1oD^IF)opTYTu53}cUdL`z%^y590LWd6rsg8VF
za_7Al>t*@On4P}juHddO`Id;CS{RSkgIzn3m;?^_9K@+bXaL0d<gli^GgLMVdwt$H
zPGz4Gd+Ev*xpY_0b-7pdTS)7#4Ao@bFMDmE@ba0D8>rCvJhq_dcJ+5rhSBbK9CtqN
zyMU8YD^Q2J^c2*fyI4edV@d&3Wn_Pua)-5o=uTDScw-F85c?j8B`yXo(&nUVTHCo5
z*lj=z9i10tN61+7#^T>oF<XoXk$T_t4@!pbdLt+Yz$+fw5&Bp&HBevR)8HWd3F_Qk
zh|VRxuJ3JuCPt-Ci3I^TCMI^QG>y0bi#oB_9`7#k(EHxY7>enj-d6Gk@_%+6#!&?s
z0q*s9mRnFAK)eGLQ$j;AW-b;!e0wN-p1BDyqoF~Akz{h&dp{c+f=$r}4LLfhel?HI
zL+$0Wm^fqx*B^gb6bmIeXm9-U05UI5(qM3bOD(~0;KtO2l=fPwqa;s-_YWCI*^<3M
z$*HRSy}^5@;@XSKosZrbnz^elu>PmG3IfC>?~SIWkp3BrfdFCC1@L2ui<8A_RG3NB
zZr#5RRJha(qIP7d6C|tUlXdZ7ZZ~YOh??P#j9?GfP%!bJ1|fe3vOG<#=0(Z{_xRL4
zE#X!aUq+M>aN5H3iZr0OI1HagLT7K@d<RnAhU)4Uq%1(3WIVFrr?M{vzelq<I>vb>
zjspQ-lIFfCksf<?yB>|$<Eepk^MPx!329Msbp`Tvn(XO-t%?pnQP!>tF)IQTF(INy
z%&~}XuRl^w5Cj|>i%MwJ<MJ{hc&!b8qRAPuF=B{VKdQze8nE&q+i=1SuG}sM-gYP>
z+}_cPQ$2Jq`-V0>9-hE@8)6#0I?(luGJXOy1Vn6HQ;{RfK7;hOm5mKIGSK*l&R54G
zWE9|90C5Kwf?-b6IyB-i=ZB>OVhnY@-#FIRQ}~ElCF7oO4%cJP9ZcWMC#~9LxTAiY
ziGAVE;dAHXANlX{-hz(?&u+`j)dm5%Z7W~=LJRco?P6~rX{aU;a2HW@dXv)4os|D1
zT_gVP1{qFVbLb+9t2VBN*CS{FtkVwC+db31*o1%&eRWjy+Vxh&tXcj@P+3a-Lk?z!
zotuk{E{|er2j5Wnf2Dn-c^$Yn&Uo~#J<@oNu#5g;XHHhu`24WtKYunM+OHb9w;xyx
z6cR-2W?*i`{<*c*?!oCDaS>Y^fA+aPI2G<XSupH2-|sy3`(7l+)?kn8+MKJ)!;&lv
zb=Rl+vhqBCUL_Fc8brjL%BS>sV!hnqzgf^dWmd)z_r?0l0~*0z&XlAbUaR#HCDVGI
zu(V#Q{QF&Roe>il-Cfl*+~|wMB8H@-|1-3sF4)+>z;$b51@RzCN_(nGX+=2CefJ9V
z9G&yL=J5lOjL_y@^0A_^yb3%VKLe~)ekuLYWqsBg7i8s*czG9R^mOgI^-MjX<i@v?
z`=NwvKD;d_1(gi(@u9E}J^NkHGCekAP4=7?ADp49K*lQSvcnF)l1qK2UEY?Plk>L=
z4Sm2$k~&R7JMLqhta6=*u`lqy-L5HL#vi=e+&<#PE&CHBIn*}}4%vl;?qD!)-rR0X
z(Pbn(0~A705h+-h{aPltX<6}1>So~|oWOMM1lx;gSOnzF^nK1Au(G{Dfu<E*lVyKm
zp$+CI`%`<h5zCnP@;4|82*p0u!$e|q?wnskqwgRM9UbG&{R9a6#O9zRK!NXX5q+T;
z?0IuDGlw4Np(72hSYY@NNayB;FGX{qLV}o7@J5d46g1O!kxPo%O05u!aLz3+P(Hur
zc<OC=|JRCo-CuHYx}(CnAqP7Nm-bN~h$R)da@6<s<Aj@Erzn!Ge-w60W_Erwq((|u
zQ0$?Hb)nI6p)+Xg>RsS&c_iHOb;Z|LMR7!<SC{fsfMGKIX7l+Ki*KjjcWk6?$=lC-
zg}49@;(rrFqxNiH0q$kAmV=@6=E8M{ub_IhLC!sthrUO0#at*~8lg_|wtmf%XkPbm
zU-ff4njZ^}oZPNHE4w-$lN=Kd<M$ZO$|tSHqe6^V=f13v46+I`s*Xu0vbL>R?~%w2
z{W(Gm05vR6_nhKo<mN?m=>C2C4vyXcSYu!WslvZy;J;vWJQbBCB#;*et>Qi!4M;M>
z>*0tU_lwiyMd#_Oo@uO`>F08%MqsdQu4l1Ch&u{*L*MAjv2S93LGxe;(-`E34w4C&
z<QPNAUAcHCk~Mizno@7$3R7;En*lR`FaRU4S>xNFqW#j_oBi1leZ-+JHWBrJNTkWd
z{|QHtwAN<VY##qIHoMG?UQm9l&*{sE3wm!P-QXTvT0%%muxc7=8*phrA&V^M&K5wL
zkRPDO9TO$7*NB-KHxoYR;4il&5?UJ?q*nQTD6y)yx3%F!hpykl-Tk2;<j>=j^t807
zNKC$5@)miO_^<%VB<rHs6fYKVI~4Osvtgo1+bD+VW@83=&o7Qe1OPGU9m_O?`>woU
zAG4L(74=mkG=;CMu{5|w1(v()YJRcTk9N{m_Og`yzh_#>^S>^BQcrH(;*ij5k6*h}
zj+qy4#AnAH$3pte&P*%*jt?#;6^>LS!1V$=AmaX1mQ%^n9gjVsZ!fH`74-Tu3dQ_H
z!4{;bHCFI)10r%e`ugZ^o&T=|SSNzd7_$GED0*y_H5H7in!RJpUpmOTBf!}*{6jry
z0lC?F4oiyF^JmYX{)c1;b9!RiA51WtvmR9i{WE>Pa{5ir@8T$7^su-SaVo0WruC7s
zw>u0vM0q6saA7ygR|$RvOfsC6z9QFt`1EA0SMiU`kKO7S`R5T{|CinDEvXo%ns}H#
zO+M$nx2!J=#RYh~Jufm8Z;`eW03$S2V)B33E{NKybu%GSJhBNo&%3A4K@!>6JhV1f
zHFT{w(R{UyPH|zcUk`2W&QmcAzX?yDGgkG5CR}Jt_83f9nQ!BXlp^XSpo7<g)f`+q
zBFbSh0rkk~zrFzYGAji><JQfIp-zii-hOnu_Q!EE)K{ySU?rsbuBf~S!6z|mkg|N`
zWq>9xBJPW6WXuXEcI=w%VLG=y9Ql;Bwf|aK#A*v3jTwapN<5SrkoB(_D9%gYqz`Pf
z8-ffBNlWa}w;N~cHqIYAbI*{f@KW#Bdr#cTy~u0%HDKUxmxvZyX)Z<l7tnWvVKj~*
zh7n!6L|Hplyu;^S#;*h<w<H}<^8R$KIKMNk(lKhejC6IbDxls5B*Aj{Pd{i$(aqWA
zpu@`u`g3ljr>6&1S&zsyv}NEC17GT0p$tKV*{r^Rk*O(q#WB{WcBE!K$2pJxi<uf-
z5eN>LKcR9Q6n%Pu%BlbU4IR)--;)!MP0Bs3<m%0vvEy;@DE?HUrGY&y?FmRmlf1zK
zdwRk5S9@QNoOoXAXN7kxS<&lJISPVsA)~B3v5iB?8{WRhIw<J^*8@zdw7nYR8njFp
zwm?7WQt}9hiOm7E5fE6F^WcqC{M|H02CxJwpeJp1!L?~dLik(&6QU;Kjo4<d491ZI
z3hqraw1o~&&0B+iB`Ez+q7sdprhT4xHoP^ud32}$-ETWZ<Bm!sZqA4z_`hR$_@tQi
zkigrgL}?(5GBB_Lr9kP0Nd^?HD7~q%LP{-3XK$~jY6=cV1f+$kF{?vrns@GSjCQDr
zXmm3?zJ^2dYa2KS02yQ&MtxzI3_#@|azCK@(JT=NgPjct_jUzTK_3RRcR)xB89)qr
ze(P)`!qSm5+1pE0qGxAwJrCiHkI)Q)Vb(N7lQ+abCcK`zZjZVFmec&6EJLWspjE*z
z2Kb6P2&Tq9r&y!E2$hC{)l;$0>0N1Q!d*KOAQ{l)TI@P<Ad7jsqyx!ECm*3K1yCgh
z=?fRoReb%{@sJPq?r&hZz^`?7hG=Fy{^73sa<YDR0ag?iA}Q~m4?<HkNk7_3_AM<*
zThINt`#K2S3$SxCP>Qn>C*Qr{kfb(mD532y?>x%2+}s|q$08>?Qd27yMB-%!hk0V3
zfH_|@?A$muQTzceGJOxwU%<X7xqkJk-AU#o_in!Egj@oTS9<uhG&SxtrlvtLx623J
zOq#2YdQkkPe4WibBXti39GjC-x>=wFz$JW%OI^A-v2a-}h0wwidB(WHdl@35qfQ~S
z`;V70Uox~UV2!Vn^$V_|#S`NMn8@H+3V(_xH#?n*AIpoqauf6N3@&fRSP27e2Q%!S
zy7~R(Q<X4-SQ}c75?&>!l`!W`y1J~@%Q+s~ySgB<8Y%Yl72|~Ar*p%<V>)B3*LL5(
zpK@P~yXDC0M#VhE!Ul_ebz}al7fZ10bVHy&;_vhZiZsdOf`i=m-a3i!nIB6HmQ%IP
zH;4cFdX9^&E*`&o(ZSL2Js=+~e_C~eC1X&_fO(<cMY%%HG!Ouo3h<wxY7t_C*c>;+
zS)iK~3l*we;3bi)1&ecnUa1i4B0-qq@uA_jBh*$7Z2mv%|6?<1s(w0OOd_|wI?7U|
zsgt@07mydcA3uKm0>*nIreuzKz?Vw&0*M6YGpRmoXrO_odqz@ah2L74()yvq)BB>e
zb(%?D`}I~YpLfI}!lOrTiB>#>ZqTua?Y>lS!<)=KAJ`4;zC?&^u)iYUy*Za}L3?al
zvxBOO(;fA<bcdH~@d`Rq;&NOW^7n_(4H1?b+ykx)>v}o4YFu|}1nb5YAd_$RzeTe5
zPXx5eG1^7&DdC92;qa-aM@(COyx}I&$-uPe^t*1nSHDNHwJb@I_1dOB3^=98d)oh1
z@1TW?fl@OQ<`ASzB57XG3tXEf@7q4%@cPk3V)#a#esJvwa+WY;3u!N!aqgp`$k73b
zq?cHJkHHE@PwG3`HF2Uwx?UK`)A%mDn9oCB1~L=N>9uQqdSAt&o83J;@Ft?S3{fMP
zBAAqO($a3vzSxwDYO~XFr~V5QAHJc5zw1UqHxSumGW8ilijk1V?7%*>hF>DaFxd1d
z_Me~#L`cY6NIzBz@3cae@_Y3$fa0v~%aGX?^dS(5J4PGP4=ocWO+iWLGrFgcfJM8{
z<@3+(gi-Rbf|3<k&5X{^pEG-=Z|T`wmkO)PvTw3o_%^xleK)EEl)!%G7$Fs|Y^XT}
zLAv$O1Lxu6iu!g?1}rSfm8B6L@X0`t1C^}^2!{!gSZuCSzUI)V_=Ey!)lkPVsJfLZ
zChJBQisXJaF*fe~^a=Few%!5Ca*#O!%#Rj$n;E4N;9G_9S6r6kQSAu$+#-{!MJCOB
z>d(3`2SFEh;R2{ZET`obVrfILiK7=WO%yeqLNWNkOu0X~pVQQrga|juggOrc?kI3H
zK;Yh1;U1?kf|V0zV{R@Gbo}-F38=`<>#Aw)mXzboYew$vtP>w)aP7I=BBVZn&cu2P
zZAEyrtNE!@;RqqcP@0-wQSoi&X6ku5WQ;C)mSY9Q-9fY!(Ury{o?qPnbWlmjs?Ojy
zh?>wlGQAA@01{)2jWs{?Lg;EH%HL51(Z<|Lx33%A)xGlIWS@1R{}yB~P=PkPXzffO
zD>&n)mp_u@e@DehUGIRcB$i|DtY^i?0TSLKq~!>XK0U_gRyv@5`GwbJaJW!2J_z}|
z@b_F0e?=~qZG}FC9dmm5(Kmj2LFiIYLZZadI>yQ1MI7pM(XIvS-e1h?tg<^ceHc{y
zX}8v7af|WsLrI22=O5KNY|QFGwIjq)Yln}bd+jKrUjl2D-+qFwiObbS?nRycg@PU~
zX6pQkKPHBe;t4vDN`F{`gH*27c1quS?s}1bw#;Vp&hlBxM)9XR1A;gA-H2gLsM)pF
zm7ZX^tZdy7USXV;EVh*%r9D=^0plprauT5S_PSFk&M1h%1f;<qWKE}+6<nWtidJoO
zwSWy0*2plo9f;M<YA%UrZLktYyZU7_xKMDw`v2*(@6&NAW31W~nyn=FxK{H;hV_8l
z<(lch;p?y0$Zyi~q}0t65BWW>Ou-v+68Cd&iR-i4k<||-iq|>MIT(lpzhXBR=`CRv
z`@<bwb6zF*{eSAQ6R%yYX!!UCF_wWhorH3<pg@ZA>Z3;cJv0>0($hac_2j<m!YXfH
zZ!dAByF|6&%1OGrj<K_2g#MQ6mb3MuYL1Z~(jKxBsqyfYfj-I2)iNcT1c`Flu?X3{
zEG#O>C<40L)z2bvmg1>Uz4OfvlZ)oKLME*vCj-+35ChcTf2Hsq|I3osf8E(H%Y<82
z020_Auk*d9@=p<r6`1irkl>ibI9_i9NQIT=%coDEIzfUug%I!-Fv_Y<`te6MBR}?8
z7b{)xlp7f>mSxEV9K-T_>Ap@7%jjkm;PK@VoA5Ej)enRsgR!Tx^R@UZv{E2L4^syY
z*h+iNT8z1x1y`{yDI_a<F9{IP)P^`YdWQM=gE+jXhIBR$>7L=;nVyvuZ0m=o<B{V#
z&<pPy>a4`!B1XsK*upBY-j&0JKzjQrq88q|y*cW@;WZxBn8k|o^KKI2>_BYbUAb25
z-^$1Umow5mt}ax1k^f}G((#l*Z*(HCWZIQH9dO6Y`O4pWATbf|xBR8fMNPMBlk!i*
z=uk?-ba0KWB%o-xY)wreqWSjTb*zEd$pYqK=(RQAMq6=KydXFWkZux&WDCs2k7HvQ
zEvV;c=0V;{vmNqt#rKCU;^IVX|A^czHRGV6pkl)O1PMN5P6Eu3xWY&bBBiGX-evGu
zuwh3w3Woi6_Vad10!AGSTdxjqzWK(ZWNiB#*)5Q07xY1&dg26GTnmiIP>!W%qoxS5
zui4{;!3Vu+CfvprO4{ro?S%{*6JW+JZC*x9W==AvG+7XglYNvgx)l6xY6p^9DEAfU
zlc}Xw0RWT$A3FC9P9w>LkZ!#jH;S5V(;GV$JO`$iEnI4Lz{5PZf>cOk3?jg0@jqgI
z@i8uV;3_QgwKLNNUZAn5eHL<86v%eH*_qmbgYWJDw_Ru<zZ%fEHHhiyl<p$Q2UioZ
zJM|6@W;YGZTV~eQ)=+&MtOh`hj3dG$U$jM{ITN%wKEutsOD^29N_PXUsf<GJag;7^
zhuMz_ap$ZbG2LR6YwCNmI)oE$XH-@UkySE;+r|4PHGK;h=owe%iv|ub&JFo&l;&N}
zFh4`n#Kx?BUe;C|UP%oIMg70rFJj0Sw00-}j*Wd~R{9&2JW6MnNJ=voO2Z2*3FKyk
zrvZT%vCa%z=6m;)^$BzQV<Mnkulw|KBog&G{rP^{A-}%IZwJBhJwy0tY}@L@O@hN`
zQn^co$tG5mtu~~`ez%?&GGZg(m4n9-Wv;3kw=t)tN#Cs<>GW8@j}E~i9~ba|Yo30H
z-ns*6S>t$q%uuq!9E8PeQdCZ<;uT}Zx8VGBQfIo+qyBPAz6fl>(B^Dvx<51t!#5U|
z_L(>T@kILTl+S-a4q93ob>x8Lkad-M#6NAC#P71^-|v(cnFU&3{7rP6!G!GL;bB1?
zi_-`oDUw~lhor3Vmd@9}`0u;5HndeQ=0}WjI%(<OV+xuGHm03a7oS4;^o5v1HuH5L
z6!91gl&=%?Q;sWV2va169^-nbn>7?y$(yVTY5gtyyDkDGD>x98o-HdKUjCnka;=8m
zZ@$6G(~9wY;fXU8=LyanHO>3<nQyd+6hjXrC8A6B7#<V>W+Zd)GGbf@<pPi-1>%np
z7l2@p{pn^MpgV~$-ODkD`i23S^*9#Q*4DzcvgjFyl|VTa1{(w_rc<x!QI}4UrqVLl
zV>;a%u4Xn4wImR80;XPXy~WyXN}uX!Nl8h1`Y3KSuKEx>-c^%tIpr}1Iy;M9?KUzq
zD@RZZ(m)X1GSh$Z#X(e?At?$ZSfL*iz8@S4`dkc<g`*1g(E#NgID+22dsptIi$iH)
zg)%H1R-&Sdjp(I^%jDD7uWX1%SWHr;fHh<%hvzU_7+{L29LZu>Jjhh@{e&V_xzrOI
zaaODgw|+PCugrd1>)qeiI4D<9VkERdr2cH18M&|G^C{fmI?f%1)o(oT<CJvHDySO-
zP743VjV=+#W4p&%8+SUGUf7W)_vu3vj4x2gU@uF)%|iE27mQErgaM50+;1%4n8Wm3
zS?LFHoSof0<`WJDN5j(X@MUj*R_OD`%v0CRlVNDybKcBaCQ-`~lqf{UxIO``VReo(
zb8CiED)c^fe636<b+x}}v7KY3(NN?-(iaX%RvHw6y1++6S%ka^l>FcjM`fFV+V0Dc
z3NLzBZ2QiCAxagGRg`9HI5{vfcdcOKBagCQ4DghL?}Yj|NOhsK!}l5*mU(|sBhW}5
zxg;R1k<$*27oGK({(YfYD(<JXvbDXNo(&+)M=kE7ATimlGYNz^&K??yu{*m&dn<0q
z2H?l9tnBxEz6&n0(o*>f3rkZ|#K(iy2~pyc*S=fF{p!2z&d{5XU))d6hM)<*2ri)P
z$LdnmA$|`O**Z@mLlaJJ$w|dOyW}6UD$O??F;-Y>ispMiKbvIY7B$J}+!RW3tE2k$
zN*#ZTUt51b(EbzL!OeR#8{U^%e8II9zCNrRsW`YJN^>cH>t8;o)=GcYh=!r9%@sV;
zb=fDgx&Z+q^qwKj724Y1TGxL}?SwFv7E0D5WC8D)HFk3N(z1xw?wG5q2)0?BT?9@=
zdVBb1ZvJx?u+L;JUi;r(=q-OL@G0py`PsANVX89W?i7Sim#idRKHNRVyhENh>NztF
zbuHgr8-|6w7dmPr2wZ6;xDOWks8mqtSAqK%I)Frw&~oeu{<4_VZBE`?U+e&Q`RcpJ
z8%uH;>Mbvxn+HxvMwGn^Xgt2f>#cVW9?F`5K2&>v^_W3Y<s4HL(_~a5e+Xjp$V$Ar
zNB@4zGoeWoR|srt3l~#XAR}z~O2z98{JRdaZ2-~R#B}Jt{ll2JY|-%>Ct|9>Z=SjX
z*BP--1*{vyo3N1yguQ?qqsZ~I>epc%uCPf!a9ZUpC!;jv9@w(6)2;cwv4rmh+1v+b
zxX7`I;0td9=0l<ZyN~63juAaXnh5??R#x5|f6(0xTk5rn<uAKL<$TXSXX=_-`!zog
z``OU|JR*2!pzCH&ymI9Vz}J=uq#5v^h=bFN(LtNzc=uGHMLu8^Xen{+BLbp0C@4J}
zrvZ4iM;)%S!J|Hb4Dy_BE#`ARz^m$&*5$C5?-i=7@qTbm3|>Era33z(c0}p1ad7ad
zH{*4T+@g7Im_rnXMX&?_=HxyOwKnmWO(2XPfiMp?H~kFv9V9|jKYnn%3x)*$nVxiX
zvlG%T;{qR^B%VMyJA!L36xf~i@F<2`H$oCsL^f}dTHbE^P>@&+gAx6+J3yL<6Fadd
z6O=e$k{!>U3TWqkHbb~yMwsfmMWWvIM|$|5*>6`Q6A(6mo=se3hz<O)W+an%=)XMh
z%~*6GAvFzuD!9|_JhwCjRU^(ZMGi5v)w3PLdCnMWD~XUTqBI1sFMdlP@$}r%@!(ai
zDj`v(t{J^A08_Wa@@Xgn@q55;2u^^N#y07MX~!kWeJBXS!K3gEZa}v(f$cynt{Mhg
zI{;eWzF}28|I!#WW5D#awp=k(gx9A>?4;VEc@s5e=uwfJ2g2n5S|wBsq_s3F&D|f|
zwloI!XNIb(P!9)jB3hzgl}gb0{_`&3p=J*r`)1n^OPgzPQiBp2Xv+a(jVl~%QCjqP
zh?6%`zo4r?ATTmEaY;fqz`N3i1D3GrATMt7ZJ@hbN>LF7azas>FfStNa33R7E?`PT
zOv)c=XM!)mAnoMj1a}_xNa@QY@$vCoJf;N4q9=7vNP*Fd9zIO=w0jCqI>-ol;c)Go
zrahXJ;wJ5fn5lW9D7~(X7%sU!mp6a%%vbN>DK`1@2S`pYh$^@!`9Hg0bIkWg=Rqj=
zk+Rp)g77gfQTex=BNPv-mU<%Csekj}0ofJBU;Vr3qB6`>8yEi(vkQ>*wM2{bb~<|E
z7cTKNsQG~M>+lu8MrdU<+~YiE+9Uk-9seL{Ku7+Ej6MGQt7Eo8mm~CJst>4jP_A2p
zn)3e}=ihwVjBA7I5Ticxsu}q+%992q@ezij$)-QkT+NEuBzG&Yz4jni@!By|wz=f=
zoAl-7>P>_7rL#VhyB5z&PS!hnkPw=W{3URG4=&v(u>WvMtb%;_<Bne}$F&ZAb?m&w
zI2~(sf{DP+T6-X}=0F{_h)EIar?HS44DIhgjHp0o#Oa^!%HidseeC@*%MCg5*QNXP
zJjPba7A9Vu;r?V+ev?&7)Trro1{-sb%0T4lp&FP-R@$8X7I~ce0O;w_<K@-d`>(Xs
z%#!%Ebz9|B-Z?!TonNdUCi_{uJQ^7Y7)GvJT1&I}{zwbPfboKy-YlrCjlo6YGQR)O
zzLcdidP?;pE;3iYy8nqWGBR2p-l>B1n%GO^T>%MBRyT1ZOd%6;J>5Jb2~nX*-Z{}Y
zKp%PMjzVlGBn%ZlbXYi3P<g6@n-xrYQ&pXft2itBwzMek#S4U<;UdSDRho*nXK+2p
z8iwEvM!^ZG=LAS1dE}AH{0vnogJn5Jjwnv6#&tfl$oym3`|XR&Q*lTcNk={=IUerG
zOWhp+6uY{+PssiSFNq8WedbHztQ0$UHka}=WME8uE~P6F=7=u`2Z;Re!W6pG1gLQn
z&ln4;WSluZ6kIXdrY0u%d+-HO3nEjOu{KSHW$(3daQFe+pe$R&(qm9|Vm>3gq_yV#
zYU~P#D;B^ZeSx~k#n7-TX>pkHK(i7Hp||tk0BwV$`r<s2%zoyhEl+eaUMOrHEfY`9
zf9bH5M1BDRBQrnh@SRY7H?JGUD0t@KZR&tyTrTUY3((kMEJRU)x%p|fN88aBS+FAP
z+xMn_1|KjKn)o?vYqB056T}fuZjE~edT>_KZh+}{!_h?d=8Zw#xye~4{1rwOpoqw2
zICH0F7*hwt<+x2C>$|)M0tW<WKrsQ1zx1{t5WjjGC^oVBAi^C@F2g#{y09f8>?rCc
zg9(*1wz=Ydd_KSg*4EZSH}9Xz8#$nbU|gPJP1Vr0f)l9ML{A)kN4OX8SuZgt#At)`
ze|4eY9^9L4-yt_Hgt$-6pWPU(1l!S7Fy!OG<vvsbQ9GW`W?TFqAQWaXfBoi-D@F-)
zs%(cef9dIAB6Y%qhiG8l6A<{|XnOeUwB|Vsh7hV1o*8Fm61tK?dS7RJ@h>2h813B_
zhzajje-Sj!B+;wZ&b27~t4A?Ce3QDHX{!4qA95>zYn}{GK96abXmBb0X$W^a5*CO`
zCMe-~ct;!W*-C2pnPOlKt_6j$Xfpe|DUd6bB=#i7;_<pUf`#w$XLPCFuCG48GUo4G
zOTV?R`0BlPG>!M;WsaiB8RF<hD{&-#;wIm@tRM3<?cb93+Y5^8_Uo>k)T^FLH^o^!
z7byuk{Swj<3w>vl2~+Oxi-}*d>~x?@puRxCz=G$y!gP}dDNOOMX|EVhy<qA4bl`+%
z5j}x#(&d}N>xAr_>hLvJPwJ-h(;f=bDYXsz1LYKVP?tRYzO?k_!oYe}{NgBv$db{p
z9r70^16<_RiQS7+P@#TLuqXZzV5tXdY?!0TL!oX^#~d|~weqV^N>+BIp0+b(B&FAv
zeXQVzqx{*v{Md`76#hSh#O`NRJusDdrXDzJO~au?+_UmbS4d>!A{94Z?T&0jbu3*v
z3TP?X)_GY7`f<YxGxK*bJ%z`nwy%+h%LSEjoKy@2Luz+~pn3PTw@YgXJhIEv9S@n}
zPjaMEA%?jFu*j)(WzHtM0yNFn@|jg|kqqwtkX!`}9C=DOc~ZxyEpg$a0O6j{`pi&Q
zIz{k~ush`hbCK+aqcaD=Nnb-CaLS3X^oPy1$V0&3k7EZ?hh1kK#{Jst3a+R2UzJHj
zk*LHkion~7#)uCAihHx{MA}27o(0iob!%y>t5L*hXM*L%7lKK&=vwl20;-0J6G*xE
z!Cy>wd!~!}kT(AkA@I?Iv5^FXUGv>ImT6ep`NPe}2d#7e*}latQ;?5bq`CfLvBb78
zwRGT1M4nt)F5k3x_M)-}h+$|iL>EAoV;wVOK7!2uTt#TYRnvOQJj6tH!-$1aZfGuW
z;m0WwZ&_%=3iS8KZI4YJ)CoH1Nd*1&?HbrYh=7E-UlSi=sEk+s`eY=YGku`XEMt#{
zI}pEBY3V*r>75}ZtzCT1_9n;*Pl}JnX6B<@Rau$hFpGpW#mxZCr|<_G3yVUyYAadV
z?nl6m35cWX9OkL<;~z8BXJv48!jnTCgsp4YTj^j&Q-ux}1GZwwQ9TuBSJt5O2jSLi
zd-(h-VKmX!+rVOVp9$vXt5@?hd7l*L0C0CK`j}(B<c>2-UjUfO%*~@B#i0LSPo7+a
z;u(Sn1Z5PS!_$D6g;pW&IXDx5!MM6ggw_)SaL^-r=@P`-D3njueIkW|dvqH(NblXV
zr>M9XmPGuR=6RnR3M!{o36!0%<GWx9Y6Zbo=>pJ}RiWSLjHxN!G%Efq!yNQ^j<A7|
zrJ7cV3m<1UFf;@hi(#Yh5<)SVskJ_fveTiGRXxxNMd{+KOMiWC&RwVa|5^aNy6Nfg
zQGIoic@lm|kv6>kw|B+3zI_4Y$mpbNYKIgPni}0KpadGva73YM5<%!bd(+w|yXBRX
zPG_IYF@iC%gSi~xf9;u9)_-wbu*789F**6$o;oNUkd^YuNqT68R5r&{aBr3}50x-(
z-8^#bYsevLowgd=Wv1I)2U%1&7;f|YJ%Ru*V5C6(cI*i6yFRfH8KL;UgUj0say31_
z-%J!SzQ1!zZb)Tt>oX4=uZwobtuY|eDS(g>-JrO%(1x%u!sJXd`a_ygP>!tkI_Z!P
zh5yV>Q1Ejf3=i2Uc}_6MNRRYykxOun6=eDBk{8wwP+`C=0L7{^a8>Roq#S2K8>GJ1
zb6ViuX`rX;+$Q2-NBu!@A?0A|6sH8nqQXl8aW<0@OAkhZHdqUWJLOV5_v<;G<l9Bq
z*)ab>`ThkL7k0h!px{k%4+fzaM}Q5bHF@?VN<#3AVnNQe-1s>>%(d?<VxA%!uj2}Z
z(N65b+q?H^+$MT)W#W2k`E2Y;aX2TniY}P5_(s}`AD<pO%KvMSxO5_#@kUJNW19p<
zu>;4DHAM{e6|JwtCMP_C&C44{WUr3x+lQ2{BX8BeyHd=z%rx0rzaGo9xO<UOL&COh
ztbbu+a`)-sw=zD{Pr93fHYo=c@4(cD+??NI19A8V#UoT2Gc9t6|I*z(FBF5tC-I%<
zP4*MdNMq&(y8iLIPCpY@z$<+XW!=|5Ng#fan7AFPHkxoN&5Yq^xl!mC-+fa<Y$R!w
zleJvMGtx+MUiM}TBUF#LfQG^zNlEUma3IGWo-%lqb+hn<H;zFM%p3J#ZUy#RC%AW+
zsrT&N`+aX90VdzyFLl?%{YU4$D?o~;(vr50Ef6*Q_XkjDGa2#ZQS&$u4-gf%Zk6em
z#D6|UN5?LQ6b2IH#ei<*P6fDs%hIHQJ`%6j^-10Let?SJBTv*_0aH9ue+3apCqm4a
zA({z0dr&T44z(MmD=@V52NWK+gxvsH2@{Vuc?e*IlN_8>7_ffbyaj;>IVlcnxcS0`
z67fryrY*Og)K?d8QdPa*-}AC2CU-t2T%WsU(;$gG@u4QKNnUJ-!C;Txp~yzlx3<l&
zCM7U`#z1uC%gY7tii{A>@OpGW)mY(t<BrOP9($X}6MNhQ8WmP!9X>>9VSxD;Ij|2!
ziYRHQw}B1Wi1)j}B@k`(Hb{aXfw~#th2RGC^crm>()1xyMZ6%g>oRNL7m91az;j5q
zw65@>r!r!}a8qEAndXky<i(KPW{2#QQV(O~eV#dk+;to;=Db>2-8jdi;Cd$ZW71Gy
z7c>$g{!^OYE{)#34aGlV+lk67-Dh360B<OmLmhU3%57i-J6^}6X^~?LYE%21N`+be
zCTeHK>)5^O4PlU9Dt(}Vir!2xdoNySBU+tWh5(`upe-02(7nmJrDkZs?qJ#pQV9_<
zT@KKt;($<1d;Rn&I@qJ4Lc6C>s1yF(10a05C3>`YGXgv9kfxQ@9i=RefHIlHDIOgG
zW01U%^m6PAImCCcI%Jc+kmr=Sxg2{6vd$Y%^D@HcCuP2fsL5I;tMRu0_JPK%9LBOt
zL`LqIbR70u&b5TR#SPQMhR4gx$8yLIF&1XKe)DEeY^c-mK|mH+@eBWe1prpaW#qAB
z;$DI>WBm4^NJY2*TLJ+T`YI1$6i|?nx%o{2+&tkIXT5pkSg_b|NAUdj-FIyWSido;
zQwP}PJ)gk=1P<_9qxDLfSs4FpLr@!G{)@q{12y+FgwKrb6yr*0m^i%9d%*Jth0liD
z%d6Fe2hJ3{L83QmEs4px{5t#0<&}pXRPeB-*0*0YexX`_lxkNk-@reC273~)_~4jA
z6ME-7#_m!j2(PlYmN10a)ZMQUjAsXUwa7PcOJ3K+%H68&KF=9(`KUHkE{64vt@RGY
zi22e1PXIQRo6Gq-NpC-(SYO?{-gCNS&9LxuwN-855lJ~YPejyqUle@%!BcUtr^kL}
z<en~j!iUARc}Grfy$>wMW7zpcR)?xo>o9`;E!3b5=(>GkEIa?hPj7;L>~JUfQb8zY
z5HCAzU@UzNh`EZJ^O-zqqwM$RQn?@NGpQer8d@XkeU%GGksWuDiC6W<BnZL$rIEJd
z_uILmq0F5by47>u$(_QP1LSN8Dsfq6Qm}S*(4f#qhwtb~o;rG5Rb5}dDxiw~_3Bm$
zz1XkDE5Qrh=NEE|N2rcx8Y<0KlT8k?U6x6Nl#A9}zS3)XR7!lG=Zv@<yDr+1P8RJN
z9~5Dr{PAS>!fgq*h|J7Pi+t=}sB_okHN0>ECmwVjCV71C*05g2w*t+^%M)G?=>qgR
ziHV3gS#)<+O#^NVuD$2eCm-#k2pHo&J3`d}foq7>#v0OO7;-4F+6s@K3~f1c;X>an
zlRa<;8U8?yFw%*usyMNQaao&8+V`^@7iS$Py27&C)sPvOolud<f$(}bq9`LUbYKfQ
zf+Y{Pw%Az<i%RG|VHkvZ0d`$Iq<A8+h?_JB`YU`wtN@lTTu9g^xikKQe?bBipMt_q
zw^9UKm6}~sNcLMD2}YUq3E9!Z=2@w9tjs2#Iv<Y~)k0ZO4j2p9@P(gb&9)dPeGr*}
z$i2TlhQ?^LdlDZn7oI8}y6kxM>YniWx*9zJW<=^ZNaKvgkpe}0n*a`s=d^CJJlmz-
zAl2BevnaIh<`YiP!2*;{nRYP&HtUuNu*;w(kZ=gICVuIJ+i6|hM>_bs)ILg}>Wq>W
z>Tx`y*rkz=wH*N(rOC@o4c9|fw;)`;+CZ<kIXuX_9H4_j#!imWlm0*mGPHIG%H|6s
z>%xbC-#o+4RvLQ-v>Fi0{or}nW(PJCK_IY#nj!NF@h|Z2VAR9ZDDZoV4C&?Ynrmk|
zUb}|FZWon$`u;@z9f=-(r}@r6UxUF9DLI%bC$SmB8v$*UV-e%6tCDhcUc=QGGXcKI
zv8(lf<As(25f<QRvbsanY`TUO=z^K(g7KSUaDVv{N6U7Cg}vlHtb}(o@ey=6@bU~I
zAKl!%ZNd#Mjox0?nQ(MQ;b)ExA4-x~h-FJ0kUNgzt1sqIyB73DRPvK(9OX}@Dy6uO
zS0THm=^8>NKi;`%Q6UO`2e57Xr7^J~wS}@=26lu3+_S%B^{%%c7w(PnWS&7W5{;k4
zXMQ{v6hrqEfKg<zat?Pdt~&AP1x!RW`oMyPR#@zt*tdM<6qs3tXZh!!saUs%qaUp2
z`1uD`%u#YpCALU7A;1b^=`|4pqNH;76UoA!(FfrR^QSvw$c{+{t)<=(yMNDdz2k5Q
zAL>{(7x}WaNdnUK4>cY+fU_-IaB5`@-0=tKXR0J9ohfCV>%ar&A#KV+IixsvzMyCR
z#}$`<27KxQaK2Yu?U#WFN4i7TSVElY8Cf4jeIX3Z5c8LjZQWo}_8=*|RN}=W>Ucby
z;sC92T78Wx%GO@J5=|PhyZ-#BK5DJ;{KNBfV|sr2)>9#p#2uphze@U8i)e_jCOp7{
z2o5jS0t6(8kx^(HWLhb<UbE=UR@X?d%i6e5=W{kl-J1VOP?Z?)lTa9Hb3DLWo96m5
zM@2n=B;Iv&SPpwayX{I6HcKrcSPyn=&9biOfXhEUUk~X^S$_5eIkMG;GoG3B+#D(Y
zSO%^OeszBs#wAuKx#x?_a0p45jZfyZdG5x>HFhZ|7L*oSrQoE@ePz+=dL&X&`7i@@
z5MDD|Lg%X0pt3zlYKJ9SDk0`J$)j^_{dt^=8a5CF_<r-6OrC3z1Y>0fq%wkfy?ft}
zJbmVlxj^V)J6K;|C-)UVs*v#BXY%5Ys+4498|@0t<ly0i<QalSRI?@P+NeMVgh2(R
zYt43Cdf(Chos*-L-?KBY1~caX8$)8-yZ)K*uv%roPV(OLn8#H-_~2@4j{kn2mv@z8
z5_}#V=C3w89AG#8WZZREsJPN2`sn3r09t_VAN}rYbn*k#2Eang`KY=9BI*Fzf%ylP
z#z#90=_62NGy-SN&<cj(y+p4QXnkl=dC%XoLc<MKy(E@^|81ogNSo^b_W=kZn%CfY
zodVF1mIkXoT?INp?xyw@T{(Yxho9Twy>xee3Ux`5J`({R&T{rL(m2$(7e>Ry0L!R+
z!><CMi8d_cz$zoe__HI+)krJJ1dNGw@pO=Gqsr8__ZamG7Fg`~LNQP`gZ-hQ2%WJ8
z3H9dO^YiMFXG18GI|=q|Eih(dJk!nu>I2YYGE(DNU05m9fv;XYNYAzsXAM=ub~HYo
z0gwGx51?>3x;1%Wwoa>g)SO|G_X;#h1pqvB;Xys`u7LE#ZT>es;XYdD#97g3hG-7o
zp)`RP5FpEGGBtz*+<yXr>If=$+U8c!c!UiZe^W<-c4mmtt2b}D=2n7L4;J+OTJQuC
zhMyvYVv-5GUt9<ur;uNx%NLEBct|n~;>wML)aAO=>8<cbPSC;BhF|>hC7S#?uj9yt
zPQvG}TkhwdD{IZWmG#(-u_JdKLC^%a7_8GHF53(gc2c!{?_30PjI`fQV2p>Q4FYC`
zcM#CLEN!NYjn^Xu)_`+}S$%g9CxIf+0O5#~;z6ng`ufMd4v`@I2<!Dnvio>)9)@Hd
zF9@_Jjc!gVmfIaWp^GtZe7ME-t=T&isWTpJ^s;1n@^xLab7)9KT-;^BZJ@KXsmzD2
zRg_&e{pHJFfqxBsUN^phY08bdDN2hknv<_ZKC(k-Z&b+ls74hze8ZTpr?}=%cD|#X
z<%*{n@Ype1x@7c3S0T{;)_ld}8|)rIs;&s*1Nt9r*)O<%bBSOiAJ%Wnwz9dm`zB#^
ztnv&~S#Z}TEsh3`5^7-z!fRH~@l(A=@8Cg%-drSEcWWWi-^cO%_Z;)A^OxMKe-H?v
z43-0k;O>|SQcc4(`yLt0IG$i@8=8Yj4%q?PnZNfBt={W%(%AdRLxYq#=#r4|8Io!x
zJp!VQDiNar+yI^pSo^?JyPe|AIOvczg-nlCbjbzLfPZA2tJHdPVRb6cc$on228_#y
z%7VyF0NhJ!Tbu7Dd<D=nU{)<5oX@}gocT88JI;D*CBkFP`7P0-6)!Z|FBbHA(Ns?{
zst_cTl!rLZ5!o|U$%KI_f0gjtx#!8M(ZwatIj9_F%Bfz;42hbWs}EbVw5QYhKaT8E
zBv`v;%4-EwR{06WXIEZ*W;?KYMofS@ciMG0V-3`b%FSQB_QzJhy4W8FT+=bxLVHVv
zlfuDFbmhsFSEX><BcKmjLm)(AVp{}GgshPC`q(Gc{8UovKS}yes|>X!FJC$#(RduI
zQy&IHSgpUF*J4E20Wf-4$!2asW`qDQ*b0v2eoj&JGUQ?)Cnd3o%Q6yL_TE5F3e~AB
zU?&h5gY|!>nkv^MuW)PU?9dK}+T8SX?vG<h;gI*bD?lJG65YJl^q(|3cC;O`;H`n$
zms^mC$d|M)?u=|Kfa2G%##%A~AR3Ga(6<#A$LT<Kk23^uoJ+$GQ?5EW{aRfZTY7;2
zD@>z}r3>4OX)1Gw_~_B0zq;H}55qe9$P-xkcK&%_i#bp;y6#`Y-^fL2g+v!)dh}^H
zetr=&2apF<u1!|r`k3PMW4IXV(-wXq!w^4w7|yETb{Y7KCR=-Z{!nwS25$iLYI76I
z-f&e%H)Co5Xo5Wu<6~Ik*!8)9cHfNS{jHrj=V>S|TBrG^NMfVh?Mvf&nQsx&To9^I
zUBb@!`SZl$U$_+p28j9^lROB;u>fWo=2=v{hyQ%MIT~{dI7=`uLNP>RJ>X!6Yu8c$
zW5&m0;RgKqS{XA6z__<aAXIZJKslKM8%%~*zZN!+xGXI%@19`j<9R{>e2pX09<js7
z&_Spj{yWkwzC@s>7}cBGdIY^BIqPlDk-^!sMTqonZq}0IMLySEVs0Tmc;GQ$akH}c
z&u6PCOGA#f<6}Cru1w<0+#FaYnCytzte`CGb<~tU_w`|tBf);oObxC(gkc7)CWOH=
z4t@`yxv!|$AWj2p5s;E%O^1>TS`dA2z{M=6um9j~di&VZbGa~UYG`OcYmsM|ga4A=
zC6J~PYJ?za0K|{3G(*^E{{C?~M%0sqp}Q`AqzpXOB=saHJv#gQ0pou|X3;uq?#WlX
zc6kn#a)~$)uyM$LAkWf{f_z8YR!!eCma=+f*T;()B1gw)G92R$U-hwEwW^(iKFYrv
zrA&$(D7u)tJe%C8!uFf`wc>BN2t2YlcxC{4Od%hN>`oOe7vs)=Ig8+Yi!e=gj5UE`
zqmB8)uQ_7WT~@IzxFQ|A;?LJBzzj|3!uLbA$+$C|<U9k!;)6q0Ljr`?7gl|aR+ez=
ze^NbW^)alHiYC$J?|)|kb(MG4^640-eRdRk|05kzA$b46EAM5h4>B$$FLr7GY0)mS
z`iDiIuf9qpTqpMZ%)5Tg?m`$_fP~1$uExLV`vr26ldUm!;$dZ()=Is_`Y&e!fFLm2
z(rmc+A^L!@jCUm_MXHDQNdtsbCp9!GOEw?Zj495`vldvjx(T@^(};$0{Ovl)NlOvP
zBGTBhb??<);WKG@6g~MTW7x|c9AvKjr(x70G4=u9#n#Gx#e)5GDg^dqinxeNLi)@c
zx5&D04j_P;H%1ox!fvFDaC(jJMm^M}!vyhtB|eA7cd#Y~eI|QGc0J{cfq#&y&+>Hv
zpW-T$A@a&)8p(a@D{=aN9<+^Q?2+A~(N%e6g1iUXleDZyG!QH);Q?z?hd9tDT>D-}
zs18C&06FG_+Z*Hc8V7{^miw;VOyu`kaC<EL-Qb_4*v0?uA&@poIy{mAmND!gXfOUG
zr|Epz-aZSfW8a?fgU}!{?q&_FfqQN{`dbvr06RNAj>zc2&pLc)GuHZ~c;NjpF2+zk
zK0X+e&*hp+SB+fM;9>ya4oP)tit$@|u#{axLwb%RMAuSdB+eCL^b`ELF#FhFh#Z>Z
z-}4br6GjGN{_pVOUyN!Sy{+^I=o-QDX`V(Jow?^okYoa`Yp9tX{<6aN3MmsYO+#Tf
z)dsLrqBx_^iX4;(_&UymrkId%i(Ez{NcqnfxyTZVNcQ}r>{EFlF?RI7vnAfN57?~U
z@)O)YT{IsX4d;|in<OtZnMtSrMx5^&8yci9d2agQj>gE34>?ih!}t1ysZS%d!ABJo
zG-;otXG3;z<jR*$4}Y0N1ZE-28nssJbUSxPLrNKzjzzTI25cmR23W<RC;=6ck#RS^
zd_t1EQ0^XI1Oet4w7M@cEYU2EpDsjFJYV#}+J>4?2BLYyEOiTQYOKIlqdy7JV3=G?
zO>?^(H0yGDrlB*(Dk~Zn_xSM-VqAvdTguSASmXeHfur_02T_P<H~~1S?|v+u&|TpX
zm~#K<!_g=BgdV>u-o5PXY~){y#-VsvGUU)SkTbAJ&}&0}&XEto7VxgSLUc1P{`C>X
zImp%l(~5W(6f~w6a_{?<tkr;|#C5+aP**}R2yf!h#L$khOZD5jpT9zKtaj$)iJcm5
z<(PU9F#snz%SX6~O7F7LG^CIGKbo#H5X(L6KSq+QBs(H2gpf^zjFOOqWG9Ktj1ZC)
zawH)kNs<bo$X+2KNk}#!WM+@|_w>GRAI^u)ImzR`|Nray&9eY@k*6`XaNf|6LHJ}z
zFD+E*5T8No)H6IsFC?6-gSH`nmqWKH5jra+EsZEd3vu`;po)jo&g3=1iE$O+{2Y19
z`%0+g#|4?_C!dnt(l)Mf1Dr<9#p)w`|0W|EhH)jbO37W4BD@ck6V`*<>^RuiUglK)
zlKeL4vA-s57t%yzq*Dg3jHZJv{8zyho4GGd7ae6tSqq=M%IW>3VXuYvhznIt`Py%&
zNO9^KeV%fqk;(|;qrXQM5Eg3gzi%_PX#UvTcReE|%6j_96dqel*9JmLE<<<fhgX{~
z>^W`Gb*FsS|60yor#tT;96x{iLU}m5eA~-9s>5&W>O=UUY}h4fr2XnvrtQ%u^?S&0
zXTd%S>nrj-kyRp;T<m?2vy{Y9UNAz>G>lBZrDwZ}s|rash=A~Vp3FcMjJ+k$c|IeE
zpld*&VmUe-Q!yZr!;=)85WT%ZTJEXzr<id+4G!VUXE+qSa`Ev^SwAQ*S1vQ#UiB!j
zXHFd~+Orw^0+A`dt%>bOEeLLb>hhY<?2ya>FVC_JEfQV0c_P?f>YFZz-(w?KWHEej
z<<(DEu<AUrv2j$fH)@Y0{x?7axBjpS;oV!NWs3Nl&b28R_faYS@%*^J^h5KB>QUjg
zj@xf+fz&BV-_|Sr8cIrH0Pm9J@?hism5($3X_8bX?2r_t)*g~kz*Ia)Yn8=NQNGhu
z+T@#;Ju_e%VpmCUuN%IAF=<d06j*@O##FT*_wcL@f}8-@jPYa-*&EXxe@c{k%;W>M
zefA@P3yox-3Yjp!|NMz11Mb`8$BdNZptDhqQ(%I&UEbE!XV0*Z;ta#{%FheUT4^ax
zKSb-P@eD4nL(YK|SaB9epNd}|#NLglP@U~($M;(Jcizgy?DMP$Y3E<QewCQ9S9Bdg
z;y0l01)lC-+)2%U`pS|D?s&pb++T4FQ_p%;bo0g+`$9y=MEho9NV{+W@tsu-Nc#Lj
zpBVVy4bIZ>lbYl4os+$=QeNuCr~)Vns8(x#FA<3I=lBV32fyMA2d|jRjoPT{3RZrX
z-YDeSqU3S;=@sHyE$IW28r5a<r;{SEAD}cWOEa>woW}9qx!uu0r%jI7R=tpeD+x9P
z{Mhg$wK6t>Cqr;?&-C-ZXKmyM9|KlDegJDE$Oi0xE9)+@92NZ)c4tz%xB)*QN^sEG
zwOc}>4^3;lPuvF|!ZlDWx2K=2%nVL1jIvP5r?z5d7<BHMaA&wy3tk+G>*~ZkY$7bw
zK;^^L^bz&hW`_>|!Cj*Fh-{AIJ&oJ1khq)Q{mN7{)6-ZqzO$nPyat%lFhSbT*rq@%
zy>Rhlwu5BFTM{<S-W?C^$=U~#ix(jdL?kcK6mc%I9po^C(Tz6H*C!$h74ACZ>cYhi
zRAE*ecB6b}3*H;rNDeE6ulMw4&O>)WV4#>XJslI;s&6?lcU+TFb*ar2`+4N7GnfPT
zJC!+kNZm?$ajx%H@PU5=Zba!M5SqEU&d7(2Z3GpAabDsXvimTnF75$MV=K;5`-T0u
zs%lWT13%d%95XuPjT8#EHe}_(aYMpK@SlE!P-07qQ}Sr<Pc<0=RJ+MKSUuqsjc?i;
zPVRTL?Ug;Y|0Az-GW2oG?>@Jv+~o#lxx38gy+WASrIk0@F1H<+`qvLWCP5a=jg<7y
z8h@nE5+iE-c<BzPX$mk>x%sRuG?4vs6H%hd(*wa4usuwEAEa9ze%D;|j?B{`@F~l>
z#-6*DEkRsmcaD>1|DH`}pW`yGe4W(x0&nFOB_2!kqV&&fyE0#&tX@-hHX6v~7DJqX
z4Vweg*1XdT@Ap|o!PL$6rCkxj>OX(nu-9C3pj&h^0)}*i6fYNiA{c2m_jYG`4(D?A
z*3S)J00~K1pNrZ<pFhQ+1*hZV;!g6!{A7QPuL4*3<nsCs(>qpOGIujQ2J>X*Hk2b1
zNRIP=?BlX@B(t#!TmABIFjbyDY#>+JZGNN?NZbeYN*f6b*qXb~N+$trP(nOa)98H2
zfnVt+v`e?|O~=z&*ic~h_--d<a|(bp($rBIRpEW~;WZ|?-Ax87e|yA#%*89;u`cqG
zOX&|O5v?lRUo>nbWthIqTb+0Am5qF|hkP<oc%7McQ4ydS1q#QZLdkj9UCc-I?bk+v
zF5}%=-T0x`>ElY_H=@2gu&j;TuewqpGdn)%HFah&MNOXUYoOg<n{|FL6R~a<x<zSw
zD@ymOa1t8Sye0@!DP54n8=<sZYZ_OOucAeMH)bE$dq%FcOxG*!ZrRk!g=`Yb<|hVU
zH~P!^u-8~sk5_J&-rc^r%Xr}7#p|mtrY^g}e0K=GNP(k{1w+g0P(eo2-Phzr%)=CE
zZ-_QWwASW};$n<-vG>pYb8Wz$W|aqwEm)$z%lrSe02xyM{;%;PH3DI}f=C8E$P{sm
z?_netQQ(6@XT~kWG2k`&Q-WS)$jCt+APegXT@@Qzf$N??$OaQ#em6DtVo^oEv0XSi
zA>9}$JbqyO_iuOrpY4p$cEAFcoSZSN4NxAL<LX4kmHPzhV<CH)n^F39_@DpVk2~&E
zuWQp`j2@om$M%OE4{D-F4cf2jOyO+IewRtm`ZcHT!m{R-7fDX#-f7NDqw(fQwOBU0
zcc$r=n5M}hk_S9WHi^wBNTBdtdZvY%b;E4QMC!aGBrqS~n*t`~e&JuTYV0TF=z3wa
zI%a1dWI#O8eKkArrveAh!Ii}t^{oBs)4e#oK(30DlS_4|IS@$T8j7g1l1_q};?gCs
z);O`<H50lW;Ca6@3Ct0Gd-U{tv9PJc;(E^1^l_sN%#?835dGTGTMxAPhn;01v%>4H
z^_XW}|NMDK3K1tH!gR0)i*ozKVyPNhXRrW41P$_eqAOF42Zs#!Qv7*v9*~oQh6T`$
zBoMU3iNG{Vxy>9+v=NWGdczOdKJi(J*5-8BhjHyp5l&(N8dC64{|BW|YO99rz4~Ef
z4YAmM==}q#0PaV_EgXCpv(?i9>bVu05*g1X;3R;9FkzAw21hj5Aae3hMZY-`Z5hJv
zH}V$u!4Qdx&3bS20z`5^-E!s(&7hi=MS_0T<D?{rD^c70PiUOlifI{p3hwiUlX%c^
z75_St!^IhK_dO6uz?41HsMCISo_6MO34+m3Pr_?uV+&MJaAKVVGa+zao4lPYjNe7V
zy4Nnrm~};i78diHIK8kI)v|Xz*wcX<pHU+n>FQmei>@XM4MFNeuQ(l{2r={cn4QLJ
zqn$`n-RyZzrs)N~V=Hwh2z=Jea8VVwb%U<pGX0#c;PF_}&Np>cM-ujHfnf<(dw3{M
zJNOfi!}X7UC!JLVeD`elFZC&i-<$u*shnT799LkU-RDr;@RskQXpzOE;xs-}%CtN5
z2jY1j+~IvjUrw(-NKwxFtX<`R^HmCVc4w!zqxTMH=NNu{Q&6_Nv_5>K#^mAt+l~js
z$HcCBdMqV-sz18YxA53)iFV*?anY@p<u4`3-rcAfQaioRUfX%cT+Nl3772v=1z`(I
zy3>s}h)66g?P?t$|DZ8Q3+&ePM#p)C14*9V#-)@fc}1UGuxx(p*mf~OxC$vIxhkLX
z^R|ZxR1K$9QwB3`QNBD=G<|#T#~N`XMVd+4N_kFz9A-JoU3u0c!=J|%;6cGm*m`Rz
zzthYo>QnHpV|`r_WAC0Cg(AlPi8IHtQjie?{z7C&zu{^J3XRYh-2Fac8dU~z%RD6C
z{{$Tj(54W+GVEj?dTME_(mo>3fx@ioo;FjbSY4&;ho${flanRb)>?XdACQHfWyEoW
z>^NHL!M7d_XQvz{^9KJ^@FafB-FuYZchr~nt24!ankO2LU5}CtKNuh3Qb+2${AurJ
zhSYwF3-tKL-SpbB%F5)NR|<|3mA%zyCC@MEp?g7CACM74bLW+o$FRPeI0Sb1;9y>v
zHrcqUL`xkwIEPvB1JQ996dl!Ev=&eH#7N8}*TQYbKRYliPZ$ZOJwj_N6ScAEjK6^C
zPe1Ef9eN6(djVTC>a@PO_5HgcBB#RD;CP;Yy}FO84)vgaJM`rn>M2j%-;U<56k*!E
z=K?mNKR=6Ob=*;f^m^*C*$`87{d=eWl%~;d_BT{jYrqyEi4_{(0=qU1>szp^=6cSU
ztr-IjgRusXR`=WBEsJ0kOURC~40kc^b=5#B3`*3V4D3|_B@DT~PQ}KjK&Vwym0`@^
z+!#A1_I<EV_<7&)Lv{UqBmvX)xvt;Wqx%S^Cw{I7I&g{@<ywGs6YyU`+#L?C{%u97
zOo=OoO>^_2MH>@DM@f(~Cv^>iIPM<^XHdWLIbm>N_3MPYL}EeDG)7W{$)n2l2WgEs
zkav88ps<sgf4hIcd+eonOK6BYSx1=hF4kx0QKfdp9LF&TCbMqH_w1CGFIi(LB7_ip
za9-#<qDvs4x6Nnd1s0E!rO^fx#4}&3tLQ6xr7NgOkNHgS#%(G2S1N+>O;Dos^_ku0
z*>eS0gy2_L)^Z~+fmub1;vt%xP6a6`Uf|KTZfDLQ5BK1k-8g$8c7)_+(FQ7*nPtRp
zBM&cJ4POJJR<Q)Cb@9MpfDW;oS52C43OUzt7ZDs*dAbCF8gT$6$@bYDKfZni2Mm%!
zkrM)w+H%=s9nNS^Ls@aabp}F*HnU&7(gxj8Xae(6DDngN3%9;#ge^ioh+>e}h5)fJ
zV?z;OY6_8WR&d0_Vq(lUt`7qt1nE&A6F?)q4W}P@*OxE4vK%-QArJf!L;$N*(Jw|%
z+49qjC-u8h@wgR>Ef_06SRm0L#QWwjRf2^9yf#}DB$}9y>+60<rf{=_AX~i~nW`-*
zkHu~qpRbQUt9nFnp6%A0M5Xw9G=pgvtLz<y#bLpE8XttU^{|FC1?~2p0ZMUN4vY6a
zL@{h4OKYEGw=w1MEE2Nean>NiK<1g?f!dO2qp*AGie-CZ>=fghj2{=-?jiRsqfMf<
z?mw{Qv&ZCYn@G>Kn(`B$U)Fx6+Gyo!yH*43w&;g(9*@Jj0?cyE;c6MGi^v2Z<+C((
zKHIPtAvp&2x$E5BCC#=MD`3dZsVE1v2e%*O#&ZgS1~m?~FN;?`t*)d-xYS6PmQl7k
z*5vMOvaNKta;&r-ptZOlwlvdU0qz$;R?|O=iF1j&`F3~ftzRA`5jTolSl^h1c^6XF
zACV0#Tz_)kO6MrS#%-nLT$e%^m<&(@&)>ZHgO=_M@E3E)z16?+>1c$WRPh11djc|*
z`^lrL@;%SCW!mau7w;qa{JKuHbFibg%YT;W6)(2)8LJ%J8wP#8Bc>R;nej(uf^F$f
z>3un$0t_JAUeLH>CD?H=Nwt-Q)?{|QXLf*j?(cbB&D>Ez(d3AiJk*h7$HO`8SrxfC
z@`gq)8FhIn8VRP<s&0q6KlDb)f}Fn|ZR#F83coKYMXYZGQ04mXmPmAfs2na9CR6>1
zS4iBycC7@VoxfU=*PWsqztUxrDrrG-0V&q-93YaUwCOo7FlShI)YDnn*q)C0qOLja
z6sX!B4H%;FavzbGKb1$0-j)|Hpz(UU*)Zj)ce)VlQAFL9Y=sq7w9}(NuGsXJP{s4J
zvIs{29dKCsOsaA(bXgUr19M<=t-8G<v-68n&%476;o{W!AP!nubW9A5h^N}#CpX}B
z1@70@db8{n{5TLbpilN&pKy#O072aJwQr7~od5^2I9t@O9?tpI4Ui(lbTS*4%N(-K
z1G9~R^~2s%dG+p8zM~siGL-dm@$b3mDSuW?E%XfRKA3X5E|B@%@SBS2-zp#&E_wDM
zV>2b*{1!1zq3iAC)BgSy20{=hg9wL%*W6ex*gbMK`nB`UxnMEhG>D<em`>U#Pq`L@
zBdQrpIAR?Fp|uK6eAAAg6L1&g8NJw}fxsIS3+ZTlK*36x*WA$W-}Vw_%5oz|6SW~?
zOxBUP_8qS{>^u!+atK!(c6s_;CkL;X1O`Jdudd0zzyGe`d%{SK5i?wkm|4yNYz-M4
zoY8>ksFe8F&}^i`aOccWR~V}3r}>`W<#>%#5&#j9LodY<3CLuw+1uj+%7(kl0jfg?
zP@di0OBIal3=bIKajMc#sA8mpFcBUAwcGm5b}vq4NU%jAqY<=vdYchKpqyo&yALWf
zPo%Rs{V2GK5TnR=5}SNu6q0}Wf<+j*Mx3bK@%asbZCX$bqiX~~$B*(F-c(L|Trf0D
zF&)umKrrtAR`x<dGq%vCt*>`#)2P4&u-%(C5Z@5vo=inKqj&$G8VYg5@L*WyB^YMo
z19C9GXDWJSTDWy~oPRoSMSMvO8Y8Ia@g}EIe$(oNZVw+ShTZ<@b38GR5AQKLaU!tI
z4$bS8<$+VF--n~hR@RvmS4chn-o{;Cv9;E&R`7WDm(O1+cF3#Gzggjx>Tp?63p`jU
z>r8~WQvH^?cSNlW4P_xzCD(&Xh-!9p^jv9njI}3MNHV;sPHrD>I>`EeUuWv+iB7vl
zh+sSN-s5+&lWZiJs-Vn(Opf&hF$19vB5;g|Ya|LR|NT4Kzlx{;R2pNuVxbl|)_6rC
z5vgLoA!0v<BxBeR3ukTIyv7cgycEbc<sq3;=3r4N-s5;fptQrf#xq5QXGb1=#G@~5
zl*tSpXRmk3e*h$oP?<X4jfEcB9M)!AoHm80Ep)AiEgh8ZW;8pmxU}}?+H%48skHnP
z9M$y?6VH`=mTV*^LiELtO9g(a&bm^wk9c~R(iYaO{K`0YHa;Ml+4DGW?f&@VhwBwW
z#bL>9KO=Ld>?no>(OIuj7{A;h@YV3qxG+=2^?fiA9(!S<_gvwOhJ{0QGXrZG<ArHH
zj7iZ0ANc5ZqfnzK+H!Pin5y%2@4#H{-^?N_<+bVYyut3nUY0v)jdMK-CF@`M`mibc
zZw@OP(sC%vBdtcyxw>BIKYx;cs?vO9;t<uwZmH`(QQso%)TdZ@Q%LJ?_i?1_|EpX2
zW|D1~4QYKd!|PJaAg6fm1EHcMA5YAO8kQk^BqxPD=tQu}9@@~X-ACyuKR-H}jSfT>
zYC}WAU+Xg{!N~4F70R`1XZ6JW3@mo#ZtKo4qC!YkmJ(wN`0z6?Sx`{7KT196(Ie21
zhdi8p1sFH_0L(?yA=j6Lm?J55WekafV2c(pp_rf!w11|*;OgE>w@h9GRrnQpD=t1B
zqU~oezaT;~qZXOTxa;`m{Qn(S-GK%|M48a$;37>Ef4$S*cbs+Xm+X*%`SK+j+q>!g
zmDft<eqW!O&`=D<<#EYpx{&VJ#_Y!^cJLBN!>k{M;2t_?R=8EGt*;+uJDu6(CKVXE
zMVBa&Z`bw|uQF;HFEKvLmupTq$)g84zV0Z5fr;A47g3WCyZaaO2U;5~EFifC5{jkK
z%<PY|ETB{90+2o7@Df2u8T!c76FBc#U<_SZP7bzL08WgS$Ps_x7h1@pND~@!Dg&WD
z`wnBw1NF?i%_ACR$ui^vYZesjr-P1AtKJsR@5bhULc2zJkl#|WvIt5=7psBLzFosO
z+{3C)WwzsVQo8^bnFF15o)M1X{u!~uhjAK%xd5NxNY2e%3j_GjkkzNrY9FiT*iPY*
zGV^9+k+%LAiO!sv?=^5=O?x0}`y#QD*Tb+|8s1O*ykWBEVCe{y&E_Ch0F95^iL=<S
zgcv1)wS*q6(FQ`nTj~1(pCT%RdCrKJlnml02)^#9q-pXZPJ=Q2qz_ctIA9To3He_J
z;-yZJ8)0*nNW_qxs2yV1S774E6LY|CFp<kd*+`4E>0rxaIf$VVGKyRF1NHnK^ozGV
z)@q@dvS?viKMCR`LGsGI)-gBPOFI7F_Z_DtQX~q0ih`)ckIA;2l1@-bJ3zyC^k?jD
z2u6>2p4H;m+FP~9f<txyos8(<v~rUZO_upfVa-|kf&Jv8b02H|?5|9-B<7l5f6v9P
zwduxgN)oxAyUAkKx5J#Ahg<YmUDQAt^B~pGtT@N51nuWUv8?+xq|>XdOPMG)_gQSy
zka6l085nzW@pj3vP_e@&Pw#W!q}Co7)e&(}n+q?VHx!WORChe`aID)yV{g$Ew=9{F
z#D1~92=<4Tqavn-gbQNTA*!<>uK7Z9-;xD*$4L{;hue|*tj%qBZ1_orB*W@M^o~<g
z)I|Gl3|oj7IZ$l5(3R&=71nuW>{YTZvae!1zY@I_SW`pLH4eL`b3%RXAkOgd2StAr
zza`9u${dlfUk4i4bn=ngN+h;9V!k16H;5&wbfp-{T<u=hZEi>TDDNcUk~m`6T&ED)
z<`k+EF4y6;ax}7NHY3AMsOG1MJI#|;igY&SmXG@u@;nKK%%pl8>@{251TTCBa`gn-
z)I;FMVjFD=O<I5EjhI?|5~ztDcmw$@7HG((lAhzJ2{R@^^a`@`0ZLyMf=wgD5*rL;
zB|Xy*n?@IpLy0Bm^*E)^I*+C9<bN@GTl1l&qVJ7Fa1{c;E4_XLN_8)<m1FS)G|4@^
z@ezxVmhC&-);MV)uZNjAv-l3sKD_S0z<~kb5J!bV<A(FxP#ss`159fX(-jb^nCDsq
z_FjkoSz*%~fkbdxAlKzbfMtT5+b?9N&2;4j8Of{QEz-~kHB#)jD+Y>G)>j&rKfL5V
zuQFwl>b%<pDv~}8{HdrOtOvbUzL+6aSWtjS9l&`KiN8K4E)c^=u%W`M|D<&+Tlk}A
zPHl4h(87Mfj&vVtrfek$EYkH#m@kNt&O95PJXRKbX69*HnkB-#M<mAF<<WJEPI2HZ
zjd7QFVzj-_LO%}x8}(=q|BfvnuBzB=Y|U5sDIau=xG-TX53TVi@w2cvfZYC$4j9h?
z{0CZ61VO27SNP-QOChVwhPCL;yZ?H*f!<-nb##PK1jma%nNZok-bLkoZs?1|whn*0
zIwXI0Yv&MXrmUhIsuqO8RKp*94B=tlk(Gh>nuGSN&;l&r&9(@i061lH$qp6S5fOmi
zBod#IL*DWB*DqTT1pOdWp_KWjhSIuv_0V7Oyj_1_rI`GSlLkT+iHFY;1zhhvGr*E~
z{XL{>2nuLl=Xq@UKwqRgl2sA{X-8@H9?Fy9FC}e1KcN*uyrNU`VOj`Nt``14mO*?I
z{Hnb8r_jFObqZ1v5UL@Gt6+(60AWM5ld>=T0V&39#SqIEHo#3^4MMpGNf+Dx{TXi|
zv1tp3Jq>pf5>er<s`V!TdgxO7n!g)_LuTaY2bK^_n@HjisUYrm;WAeK3x`SOa_oBj
znbC2Yo(>vZ?9cc(F)t3ylEjOcZV%5bLq$nV@2oaEjFr=pNzI=|T}9giRh4B)BguB+
zpsd&!6_Xoyo<(j(==&M!*efWLazD=dIy=Qj{G^G|1vqQ>lw6r1eCMism_B=wP&rgv
zt^OdzUBReq=UE2=A-{X0Fvo8i(Z8T-Fbg|4L>``3ri5>M@yE5CtWmFtlA`OoUPkEJ
zR(?L^JEy3<;^Iu%6FnGmd0^~(0y`aMFQ&6K)r#wt$KKRGDoZd9^uNXaTXCmK2BXuT
zniuSJrV2M=JKZI>3OEx*pfPxevLF<vp-6)$eZ?etI%#e(`HK+Y$xF&)zj4-@hv`_f
zHcpmaDP0<&&^^z1cIf-=%ooo{FlF6XKT<-KdM!vZAXA2$v8fkv3S3d#beNXNA>hZ8
zth_d!j#9JklG({5=U(p@Vk8%p=Do#V&i>%MGc5QGqoOKzRci%#I3+=iv^0-dMOoBo
zXKE;pDXW7vR=(3#9C<u(Cq(0ipZ=Bg{SH>V(B$y7q1K_{P1Pqm=c6sCM=omK6j_>l
zem2$Y{|tRkAU?Ch+yl*8%q2weML+|JlJ6rqox-t=z+_K;s<+BR=!1~;iwscux-S)t
zKN-FL?ksD1@nVuwBdTv8>p3j*cv4lF1{h176>jx&Aus%^2LVhdz_>WpnwmPZt@=F-
zVTtfHKY21Br7-dPH?)`3HE1v&hn>WolUc;*iGEhg#K6@%1@1eZeE4v)uhbhDKEh)%
z_>v&)L=?w6#phqd0*~in%Yjm$6GQ|iCl?^Zp3KAeLqZ{vKw^oL&(62<J8aLFZ|5Q}
z>`#T|!X6gt5QvP<Wa#UCIFC*gz(b!CB_XN<6e$_sRQPgVtKaVYY>Tf?4Wf6@6qV9A
zaoy?N2iKVOn}XhmQOUDLSG?S~%9lND@{3S00bF>YUiC6KA!wTM^9OT_vm;pt7IrO1
zR=f#CMP2Yj1)ac9X#J5IKhD250mwktQsj(8O#Zm@2k4)yoyqQid0#&WsQ8c<<hTDU
z^I6&1$j>*+i62EivFQPN7B)6a0k-+xYl{>34;iWQtRbWMR)xwr$nbgjBbQ*JYP{7v
z;SQf=;Bj4|SVUjtd2j(=jX3P3<(gRr`tfvoh&7Rbi->~4K&_>qXUl9XEKgFnCG=2!
zJ92P(VHG<WtZ#mPW%a{pCWz5NBN@zdz}s+KV)Hz5<izyBk+%qt3$Ne~XNfbzPZAs@
zBh{YsNWnaP`t<OeY@Nm#?@M|oWv&+Brv_Ikq7QH-iJVteDMR`X3I@W}jA(y3xL^Ym
ziEaGv_UpHA^)vJlaVRfO^)^}U?bikzn6eyiUg5@y`}SiWB{^~mP{>lI5{qg))C6L5
z9XBBErP56d7RcjvkVc-vml1YiD`CxjUy+u_9y}e)8TENv4@Fu}nddnVs_3t@kwBe=
z&{&?4maB5GXyBYzPha(FrU2q8k%)vbk%`>_tz+Av@7}t|YWxGKbitaf3`a-HJze;1
zp*+F#SQDTzH+``7ouuat{wELI=Gr1_l){s4BvOvvMNn7RiDAM$cdmU0vnjqkobmn2
zVH36q3rrklJyAX>$Ay9}!p(@(eBu+(?I3#S5QI8NvtFF)eAd&oy*0CqWI~OK+kEXh
zU6J(`tJ<Z-bgHx~>AIR0x+;|#qM=+$J1@|imk|oRnPmId6@H#joWK0-@kqo%gFX4v
zm8!9`2R<5Up7e4N*w{l{5SDtJG7EG2kwcWIz1Cfl)-+ja{5{f>HoY_CigbE5S7->J
z*o|3Z2PG;325)E`ry~sZrA<7uTXLZ7_oEtC20H%vm6}kLdD&fud#jCSZ{2sosZf*2
ziKiK90OvGk8=3{~(7qLaF<VkNtAVBW{?(s8JDAEeZq%Ri^4N_cVNXti-9E4M-FuZ4
zS5BIiu;l#t7^q5=2_ZE*$*KaA#7(?5khrp2%sLIe>hgRX=~i}|E4uzdj@c$ihE-yS
z_H<!qAN)}W5H&D()@Fw!Hh!FFai?$*9u|gHGpGvri^p4+a24XbVx%fFJ0>d&uOUka
zq8IQs)LQ3RTCCD-qudvBwRF;94%%ylKYVpg@-pbX@bdH9tZy*OB{xEgPW{mkx+s9$
zUxqGW;xX>t75r^{e7v$UK${<YnL_j8nr}Irv}DkWjLmr!h#LSIHaGXz(MV~wMQ#a-
zFeW-D+A~`L?!eD5QrjS|?dW)zU3Mpm#?6tzhfE3wx`{9Zg+mD4dQ`8Th^TKLg5p6w
z`A@S<r=x5nP3QnkdjCC;3DW{?M+r#GDx2|ZwGhXMc=M4hb9cYraxa97@#AwtWwGbJ
zo|h>2KE!pAL>!q>xqSII>7MTLQW<Bf%rUESGSiTbXc8@PsJpv-;Vj4$Fbf&JOg1;L
zJ$*+&$OjISy5~^j-N$|AEIYNlj+ZM^-TLz7jG95%V3BAF_65{hX{jjy<UTUO*K~9%
zC22p`(rJR=06#?7K@}&B=sPg!g4)A(I-zOAb}*?Ktf3lD72N75oaM1>Vt;hxrL*R3
zRqDqzgSuG;5T;TDaWh5a_3R~jsIbKedjJM}Fn~NEc)oadsz`5qzW!d48jhwDEm3g1
zB{kz@%WN-p9<0V|443+$d4zjYui-|(nJ}?$$*9!K31ykDUfHnloAcO8u{91wmjkoc
zmj9}iE}z)hIO>Y30iGC~`1KR+Z+BwuDK(n`s{x&vAfx;wM?#w&Xa@*?kQ%_ujC6Rk
zB?Io>_`*xY<jo_FQwe|O!hed=G!$et;sCvDaej^eUBeX=x9<`Iz9s#v#fF%J1gxV-
zwi<WVyrl8VXSH?5tL5QD)tpX^bUna!(e=hl5ta$S9kGW79tR(9Ck{vy=<vwL^0UGX
zQ!(TAOJXu;c9N2Ep4R0sawcclN&Do@f1Z8bS1!stY?bA%KbrVaX8X3%CSia^HM4eV
zFSDwvobRL-$6E`Xqx>7WMj?&gz44SI+9BVz8D0~-Xzb80<aTX22}qYkaI*Kw-3c|T
zjb)GdWP$mb*c^$c8|1Hbp-Fc}#yReaVI-6EOfM0oKDt4n6_HxoeFDBKTm3+0ia7u=
zw@$At^vs5QQMw!NNfL1E_Jl2q0byYGuz(n$vc_CFEi__wM17^Y$g+EvgQ4<PE@v7G
zc7WVy&intb1&Gz;1!av+AL0VWw)f9k&R*%*aF<b1avoWS;JUy~Raxl}J5paxS2>XW
z^Jn^8sCOsnK48A|uz65pyYh!0hM*WR)rR_{^*MV1+tw66%wmsiKgc?-EaJi1L|pZM
zVb1k@=bZlgJn;V7f1luF?btmR)LOCKIyg>gHlcRuh;qNnMqG!F_^+zV(+QV$Br`be
z$MjyZ`YY+!-GhUbgR$g6RrKL%I!+rBd@a2-9db{<6JYG*+Fq%L@rO28g@<IsN^NKY
z?+AjX(S)$Jb`$Y^(=~7vvrr=|>tB$e7$cQ2nS5&N1tixjg<!6#-i3fYp*U!S5J33d
z5U-w99?QiZRK}m0(&Ud_EkigLQmX+B=uDU_#Bc)yprJuhC!VY5Yt&q{IC>#_@NzoJ
zTfvU^0!tOru38=)MFLK;JsrH0NS1_=<p4b@MW?&+4#qcu6GM#N<8uo&fRw!#Yys+2
zAiEh-Qy}Tc{2+n99B3}qgQ+D98JM^reO-MQDtV>F!O?M4F;5PVC^y%_uV%o)KS26a
z8hNcBDfOegL`GQ;ck3FWfy~|8P6B}W(`MibB<Qta36izo6Xt8TxM96bzoGYFyl>`%
z@K=j=%Pz%k^rXXDdM`2*ee!=fOK;Gt(!%vkbl?*6y<vqouL~I`UN3j~pel^>I<%s|
zca&4nGzNKbjFC{HHmFmi*~Vy&xXUYXo|R8d0UFXYiXvQ4S46XaJHlMyrDupnTTfOO
zVvg|L*?d!+fS~8D;CHF`rZf5yd<?s=?EbyEkLo1sNu$;z7A)!r&(=Rgwa=O*<c{g;
zBk@PaOEtW(o?z^Zu1`n9$yG*7Ka{&dYw+hGN-smdakM@uLW>@z$V(<BaFTU-9|YnF
z-GqrU;(72Zw$V~3j*Wu@p-ku-1>%f(NUf5dhKV*5tcV`a#5pe`^}A88h0wc-#6-ps
z24h1*b$-{y4=QO-ByYGLKD9HcRfZmp55#yE*u}JtrSs5(btGz%W=a>rK3K~r3nN5J
z9108Ao*ZBxvF{@tnDauBaD%smzXWRtcgBG{V_qecVUB2{Hp*BS6{u)i?$$n9su6(V
z2gc(lZUWeL=AKF#@?9AvA0E5pKKi(kgyAv@ShbEDo0+8?3x#2XzaD+Ch>k#zwq~$;
z@2dOP%M#tJ_XbS|M3jf|gLn1gy+@BK3-~Oc0&%PPRe75Tj}rnQTSn+;S&!0U>-20e
z2}KK`Pd=<<>uyWmvP{pSsEVG{!xP*j0i5iAwuC|OYX%%=4F5LwHyF}r#0maK&Q7Qi
z#|pt5t_I!L!Ip1Z+#Cg!`|p^%E=MafaNbityb<3-5d`p~$u^%q_NsncEDCHHUY;f}
zGBb0@x!NEbE?>yyZ}nd3NzS^_V>Nvwv#bT*pJcEx>~S!gVy}I7U7Q-aMT)7cOzEMS
zi?fUT8}pZK-qO!HFJF!gmm>6h0J|5W|M^vdm1d33hV4-siEapkz=yyGh1L(?EW%XI
zU_03(f@S@g<k{w0r|EakHJ_dvxUsUuJU~0p#Ujzo5uipTHWkoL7ZNCT=e35*Oe}D4
z6_Tx`8wUHTSt~F2N9$4(UxI7bCM#sCFdcn3fF{x9lKxfFwx%DMzn&@h%zYK5Tv=KD
zyRtMYuyJzRgXUf&3Q^ppNRNw#nwLgua`c<-cuk6{z(q-2eY$^Z>AjpKUuf$AJo(Vw
zZS@jn-9p`JZ|w-GA|7R;@z*}EZf{?hn@pOGI$z|m%Zqx6ZfJJU6Zz}#`3c1#;-=sg
zkgD+bul9vla=tM>*5t)3^7^=*(T?bP5M3Dav8(J01PX()YMd^uv(O?kFr&TT@AZ7L
z)BLgUrdy)H{=S>b02lcK;jL87fc?t83DiOe4&`0_@#V{Z9rovi;&5eU7Qgran`O{Z
zr@m6eWa!HHVNH|kFn|Ccie2VwLzXSVcdX1oNP}=Xws;MP6^bBnG&vj*iP1z~?M>I8
zN<@IlnII0IPLETC-_le!%rIcFiAp;%I>p(6AUY<94lbwa3L+RpWFKDXRPSGj=%2e%
zf6uz>CS#7rP-3(0r#^Ek%u#K75Ek4IwHW3|Jk~j#(Aeg{bc<@}$49S0XMse*7g<?p
zx0u%qpv9mF`X_04+3_1m+?T5j<&$a2Nr6P6=&_<AmFH_?vXhn7(~JzhL~UR*h*=Fc
zr>?>2hkPI$Xu&Ec3_qir0<LyvXAB(>IBblu#hoI?$m{q)KDw4VzY|z;L+pPy3J(4`
zMLZMcp?~-jR(t1+m8{+A5X(C%miU^%=v+I<L5o=pjTZoJToEs=tf;8H7!FC9Q!||5
z2*h~z4(+V@rMsJ?V|=50_YhkJ7~*v@;c!QAZX)5D)FU8)Z0OG(pPoj71>Qd-wb*Dj
z=%5-CbRa&}2Sn31Ss;2lZ6@E_NHmI5?{hlGM7Mgb_I6i28uM_NF6ks|^CL#C=f{s{
z`d7<)tBnUMA*D@i6_`e+8qjHkF-f(eg>B^eYR@@WBSduANkLl3^J!cj8JuV~f##QZ
zjCa`II6x2b#N8Ix5XjBOc7Uf@dqV4n_4qlmDQ#Td&dwPmxQ2wsQXGH&Wu&L^79zG)
z&$X|I!(}4CL7Sgfg1vFtgG@ZBIo2RLmHct<6^=raGxM@08hrft!N$Jcv6J@S@<$1w
zH*%!?zy(`{FP5JuE!f@aRP(WBHdxQPdUV0XBJ7V+mrU5Pir_2n2RyIMtt92j9vI+?
zH<o(%w2bzoiR>mz;Tcp#-hv$rNE$r2aMWYd<&TYd|JGDA2VwAkK1?E4W+4<wC;wzO
zr=i=vO5TLW6vE*}NpB9PpGA6^ve)fAd@tykE=g*y<k`rZtw@*OBmt>E*-}$?xJ!X>
zfnGg*4qK8pe=J1ReHLH2NNR>5Q8JKs)7wq;?VRt-qcUJo%<}gHc8w1A3AA0QuMXag
zAI12-5KF97QC(T>rAxFH&1R2f_E(he^5uN9Atzn7o5C)u>h{e$!?VFIb}TvWL&c6p
z{sh`%cMH6R*b^=W-B_RN=&$*80`F#ewDPAL>#i%*Pb(_?VQdT(6ity_eT@b3CaE>&
z&sFoH>FT{*In(vCvHqmg<u~L$Q6ppIgks5#%M`xrt_1q|xu1sQJjGazgR`0Cd?{e$
zM@LSFz0ySwzALl{Ax99d^5$ZD>#^;PABETGxRj}%z$dGn!cKHg<Ba&6U3a?w#ErJO
zo&x>5eC?K^l}YQ)kOEw8dI)G8@faQUB)SVnGY+9$9rBryr_8}B+|l((2?<X=UNNCT
zA`l{bd5R9*PDws*f0hCx-)CD%1&rlCU^SYv7&CBnXM=+UPNNu216bVhs0V7e@!l94
z<Jhq-i-Scb5s|AfSVOB-c=II{9f3Yd9aSB>D*u^H?BVQb#(q8K-sM!WDgD|I$^|4q
zqr%&=CInkX(<ltRCriJ4L`(<56U=fz8<tHK8tChz2TcE6cnUT|4%x>*kkFk`fI<->
zoeFUV(45utcg%87qsv2A27BliRn$b$%&~|h-fQ~tML$Z7twyKRjj~VtVJjiP|9brZ
zIg^+fk<T(U{n^&$(sBL*Xi9YINKmVqys4_H0>b)sJ>4n*A>feOi?cu|j1e_OcAhK>
z2uxEJzE2BrpjcW)IMA^w0*T&DMTN4+2`}6&FKpqrLMaGVG8F&JECVidm!EbmUPCJ4
zE-*I*8QT29Vq)kB!oDAO3Q1%bRMzDD`{uLuhgd?vpvZ~a9cv|KW6}b<5lq1h9aS&u
zah{>`_Ma*>?iBb?_Nb4@q5z{hu~=KH1`_Q6J^u7phNzr_lL>^y-ZOC(s)*lc8imaW
zL}dLinz+&yvyiosXbFz-+muQuHLU80a6~)}&{m!M@$g#VK#Fa|w^TDIe&bL^`_;9$
zcZpwT#ka+^&c#)nkWNAn2W|kW;M*ByU{%mXjKc-*EExEbO&n>9H<jd=AbFmjcLf?D
zE30`QMN8@#BD+6)1Z_bUcpP#3P*EYznI04A((s(uGj6iuoQT?s;fK-+BP}frP0W1c
zj}YXB%sC3Qer<ffB3!ufUdY?f@uOKRw)@hBmZp9TdAb3t$<Q5YT0;@wZgQ6M<4&$h
z0S-poJ`vsiM+^R}&HbWs`#)g<Apq-1>c)tGg6AI*$${U&x~KGBsQV~^G&{D*VE8#e
zGC;M4Af8VeDCoOKZSNOhy%&Kpk@`w0<-3<J1)m-pe7U2@lJzl(do+SeV2kL*>eKUn
zrsIP7^wbn&8xV{zMd0@l*-Ar42kJD*QR9BoD26Tc&=(kqIFw23`nD!7E?%j;ipvNq
zW#dGvS;<I|6isD%&hWHq!nvTanLz%t2doT+D}Gu2<%}#z$CHgxkZv$ZhKRSo6AuLy
zP){0K+7PRv5niqHmv(LC(x%XRELm9Ym6~}id1n~gDdr+H_aOW=3HKxg0$Ah~6p~Xc
zE)OzZH7n*QUzTz(`&mkwpY2@Zl<Pzf%5du<)C)ykwAYQp7aryL)2Dn{FXIlE!j5cS
zcKd?-p1WxvGtktbClnXE+!9!Gg@Du9f2}>Wuke|qaY1LrSxEtXsJt-25uWbC(QmYq
zFesbS72u>4Xv0>_VKz;kN>|44euJrvyxgtM#lKUVsp8hYMk$2G2Ws5{M(3;k51XGB
zsFkV6&tIt8$py!cCOULy_J`KM!F&V3VaO=*y&oh#+CKG+d2e_v>V$htr585dTPTLp
zTotMrv|PNGfiNs!FRa{5jEuVFqyY#IxO+C!JnM21v{nGkUVn!Ng`N^p-jgSTJ10Rv
zeN)qR`T5`;b}LwA5@Ye);-=5g*CG!=24O-%m>Q3L;hK~|v)qo;0Z1IYB|^61JPv2>
z?i29Q9m>hh$-yoLjS*x8$+mQGC*P~H0{oJmZjEI30(XRt-FNG>WsFisRJ5bXOPmbw
z907qsOkFy|`xh^u8q2*F!xlvp8v@(s%jO{<MuWJ^+J0UsD$*woa4X-A3&r8If>g49
z<ChF}(mMH#1+$ITx^cVOp{qnnm&v-u5@hVRfV-p{<Ho#Si(m<!SUN)vVx3nDxRF3-
zA;f8boP`xj1=bIw7sIL?u7<g^>5kribcg45lamIk0H!+2^hNj81N|)R%=QQL5UnSO
z2_h9AuRBAy4HECmk#X4L@D52Gn!G&tEeXtuQc2Aq?Piwo`#Ah?@}tYA**5%h0)tvL
z24PKJD~UvS2oK3ae)dH+i%&3BE<H8e9f1yrlzpm?@Eu^DM}2`YKxP4BM6>OoIHs8!
zmpi_FgOt;k4O%ALOlu;+Pus+iJ|v&a`7i7iJNc{EuW5o+M4};a!n_$LbF1Q5f0h`=
z$)FQa>Z%ft5I;#98g~lVe}S=bu;k_BM){f13e;*s%BH!a;jJ>G3<^=Mz3=IsZhcI4
z(0FimHn)EUgXA;o^!ypuVkj5*jg!!T1%V4~D3oE4(RbKm)dlGF)e(R25iJ7JRuKPq
z_;AJ!^fV<m+Td#f;>a>ExOr9T5#rEw2DofqoYNV;iXdUwMVcDhZ0@@lY~{nin|4EG
zZ8AcQ=hdnuo>}4Nty~|wPyTb*>}O?#SyQCjm&xVP5gf**q8dlMyrRRQwb<a6b0%m6
zxD4b%gh?z2g0vcd2q}GJ_1@Yu!n3hrLql?Qf^|jA%f~`HJr2f^1bozYSlLzX&ROoU
z2gDv%rz&6FZ!QZH){lN(mI^7|k?-lMp9N`#?P0b(&$Bb~%nE90KA+kcx5rT8n?{yF
z!ND3>XHV2vK}>qp<wQ<ryZvcTPZ@SC`H2d}8u9kbv+uhd9Iin$$4dOQpM81o{`X<~
zXaM~O?$$f0u4<jXqeh;=I7v5v{KVcO7i+kKq}X5t0Xq-WA0SS>y4%H)w741vMNSF;
zTkq;!+{p?2zFs%?ept)%rxg2BNtbf+!ZDVR;?1QVfxncedG8~vFSfnZRSvQ=vmUZ^
zbc946)|l;L2RFDzr<)kBXY#6s=5(9V-9Q%+^Kz6~x!ZhWy8BDQ_;ZTV`qui4KSo;F
zrHGm<Ot`Awy<5WZ*4+_%v214xfr5W_jq~R^qet15pTB2^iyghJ$Wr<u%}eh@&F~~w
zy=6@}A8ei8^*!p!`vZ(M-tBXhN9zw2M1^9{wR3PN9ZT_1{+K>oIXJxIu+oS^fp)lC
zuR<|KLKvud<4#?Y+F9{o51na5(uF5!j2ar^4hx*J&K7M?PsXN<oxPlTe|r*gABCCH
zcGJL|oJVUu`EsB?Fa$vJ3BDQFDKm5I@1|*wbB}Ig+i<J!Q#Qwg`7iBEIw|Vah4Iq|
zW5Qq>p~XwQx_QfF3ensV%witJrug5PB5*q)l|D)x%S}VRAlhQ$<5QEpH)N1K3e6x!
z@Jp9^>m>r{0)dhFEMGUtN>uQ?Ud{o%4rX{zpr4auW~3VJADr0z1O<uJgCxM{9xJe+
zovIW+9Ct^`e+5bM9JGeDK%W;jixAw3g$hx7pF~F>J4N#^K;_5jgDwM=xJqc$T7Lq^
zC%yG2ZpLygTxM{M;Q`z1FJ%t4kme{QvIJ$nHDb-nnv4!q6ln07S&k)1K7IgBZs78-
z4UxEtA*eN7x9=HZd25ucs*#J+W`~@@f^7VYQyHiT_~-jpNfS5MQa|12mE%@7vkYeu
z;$=lkP<s4U9-k9L2%_<bZ%l2yl4k_HJQ@&?<^!!ce=JfgK%qZuLeQD!4;{9`Sb@8v
zu7YbYp`u0*`meCMAw&jg^BaE@-u7}U=E&Zap0%{TiN8aZ!F|Vrhx<`9)YsSNTlVOm
zxB!_vyzioype(@U3_InijBqu?aKijRr3mB_Od=d$kLhrc-ICemVhh?cv%Reh^^cgu
zLM(^oWUnqGl_w_tSsHiv#jU}|r7FSay0}4|=5+RSb&bz?b%B{63PB$}WO7Y=#*C8<
z8!D{mXlLTMhaH&V=zUgOMb6Zb*w5nl3*`1pBWm{DyNBeK1jx4_Z3}+0XF{`+&^Tpx
z6S9u>3HWm%T6GX=^qvVS*`LC>ni7lONz_J;TuE=sOJ3Fx%Q4^kSG=Uy@FSV3Q;*j`
z{09P=W@b{|Jz8*0)M8Fw98ZrXB2?&~@*7L`L?X1t-4AprFK5NLUg<1c7mbHVh{z>G
z?mrKWe5Tg;$3g8%$h4H(SBUnq)mHyLl%8iK^ap&fs%2nVu;{%N>7DB;?Xf)g(%ho|
zz*l1f#siE&btL(FrvLtTdba1NtW;!=SatB>mA}G8(=HhQH8j3RhA3^axR3;h-M+Cr
zoUBTzHaEHtQysNXLV;aQ{bfh5NrH&A8Ooy^e@LN!{T19;XjYYV4wyDhkg`41`NWoq
zbe}zxf^rg%*&bJxnv4YOG!HP1Of^4t@)0v3h|1rT&NTwv&DeD(J9Du2Zo+Uf?lWyx
z`flf0M>XDis!YB!tW#4Y0W+7v^~pYHh>ujB*nQJ6Ec3~Io|xO({7tPx0K{9B*I)Ha
z>pYtqqAj{TurRRO+DE2*o!W4QB)ZDH;@%G{#SNjG4lCa;8%g-h%d%2P3eUZ#0otl@
zk7IRfxx&B4@jbD!5KTuK*RBb7&NdB7-h)cuwQ>GO+x*q)uHI0ZQ0TSNSO|j8R+cWm
z5UVPpdvkzP&&G|A>&w4&i&-==h;^TrwV3`@k(7`MKQbN?0%(j;­ux`z%$F_$R
zr6D)H4k>}IAk1bu3*X#zxL)9geHMeEk%&j@Wgv5c9jYRCRBlg<uK4c6G?|vC3xFDG
zs)~{^$XJL4+~ULYOIb3rA^1*F6%)Lh`F@NZ)W=m8;Pru}ePw)6l_*<{3s5J-zVN26
zuOdS@<v)?LnVHUgv77WX<fM#Nr(z}sor}uL`)u>kvlL<p!6e)r;w%_V5Zwos``b6&
zor@YsrRs&2IQ3)z4K=l{d9F?-YA9R$vr9^P2A%QMC)&>n<@c!y#r-Jtc9TwuYZ`^J
z3IRX_j4$l$?5%A9WPz0c(#|xQq4f%k5inL5gIG{~4*1;YAbE%-yx(|Z%coHTHv05r
zM3IFXae$L8@fr#jz%%dZ&Hlz*zOE!H!^=@dy;oL>I!4nSuLDZR(F23-aU>;B1@j-y
zX}4GX7j_Hy&`SiF)%>r4*r59FBx&0&-izGAC{;M!LR51u;k`k90LTlS%=E}N8#(X<
zBGolB^9q;~7V78iSHY?o2mv7Kz3vHHx{U+|C*JHD#6UXBLMiw2x+lW+t1J+S_Fw}?
zQo~5@n>RYI4cq^luL!dw#$}uI@WnRH&CMY+DbMI9<~w}yKVE5Fzq@J?e-r2v-@{Q?
zIUJ^cBvE{979}AeSn~=kR0RbOzL`vsBV7CL@q?3KG2m1f7lyD8eFHj~NeZ6G1Zv8B
zg6&_H1Ew#vItYou){s4q0U-_BD7PbW11LZq>9jt9TK-{Dqkr3|YhttQDY7(XTzLqI
zf?Tg>+BPRta;#E{?F_opsUB7nU0`QWc#!-}5k7dF<TZo2Dro>F4>Y1m^pL11z7{MU
z&d&e!8fAlgJu&nZ=UeL-csQH9u;s||vmOc?&JF!q$VWR;;&6at;`8E7KPY<s(dVlj
zZ_RShYLAbb(L~+f6jgMnE3F?!OS&XiU*qhmFHqIv7;m8P6+E8Ls-nzMZh$`E3l};c
z%ejrXuI`**Q>@u3?8?Wt?;ydxA)TpAvior8SsJLnYOXLN+35qavmo*96swBuuk{zJ
z9-UtKeae8*;-U;Kb=6R1O%4xB&8O~_^-D!#Zh~#rn<S-v^i_iP5p&=8yUL1|Pi+kG
zDHiW3=741Lf>`C)58d;3s&>`hZ?MU8rx10h+McfcLVn$NRrz4XeM>{Wlpc!gj+-#9
z>!zcG%otMliq4^01(M#1g?_mHLFGVLGU3k2-n=<_*g=^zluL-U++*%reM<A-`)g_c
zSxl-LDU&hnbVxzSy@O!Y1;e42w4Yzz5e_>-C%>Ls$o}U5p`dd(Mr`<Ycae*n?S=hg
zv$tk<m{w4qb*vmun0^`|`g9BCgk@q%H=NG=`+s#>J9F#|nf)rdVJ-Z9y1s~+@ar4=
znk$<orEl4@sBd}wWmMNDNV%34k?A-Mg|J_ThXp<CLGS;AZzbzrA^E9{t(BwS_NAAT
zkE$>JcoH)l#WhgPB;xq-!iAx=44n6(_Eo<{7kl#T*iJ3J5F(APx@RrUJn-lwKBYnN
z>#O@ilI<KF{Wj+6k3GC`1*e=IxNzwFR?9we@x62EFUO7#h1t}@#xfCxJ-@yWBsR0K
zvR*<AY{jH5pd0DyKLweFLN1?k%FW+7N%sV3env*H;7$+%>S2c2M-kPKp--gdCh)NS
z{Q$o(6b1%DAdngwC=<7JMbx0ifapiV6g9_xZ)Q2kvqgcXMA;iuvp6FEf$!{;<PgvQ
zla)SO8ljW%xq{mRg%D6H39#<EWfjvjinaf0@5_vgljvG;!d2eVf_i8L|1DpMtP}>o
z7noA0Yd)tQ^9Ne-t=8|)XSy=88DbC8SAbAhQ~OaaQ0GKkfj?v(hQ12(KawAfPwPW-
z1_u(7C*GvS6EV3Kc^EOWU<vCj;*b=6?iFw8?9Qn13IHNnXnx|!$NN)<lnZ4d1%V}e
z@^8xB74EU)LfQPAbWo2#_<g=rH<=#7r9o$*IKbX;5jKQCQBZ7-TnvE4B1ZhN=<)US
zsGt0MFDeSPAtoZI#x^lCYZ;!~xV2qdd#B362x=m;oYqm-5qju4e*L`}rEZN<0{`lN
z{Bx^#Bt|+M1Ukaz^dHygaVpN=eqM&F01EfGQ&{c|VeXI7?D{YFP)zHc7@v#Efr!Ec
zrVs6gk;t4Ec*j_Cb4yEZ7q6*XnjZX25sfz=B~$5lAYM=gG6gBA+<RdKiw|@%wba$s
z9znJRZr_9_BkUUB6JB&{*4tM<|DbX&i4TS=Erb91XRs$;xb(31|Fr<cruUL@Fx$UJ
z>}yYYo1pNFhkUZHa=(T6WBZR=e1PP#i~w06@&O;1iG4%6LPhW+OO_Z-oBVD~@{i)w
ze{aMLa<5)_dzM5kTldc4i5m37NU=e~GUxS*GX@#n3+YqJQb-YnY(JEnAsk^XI7tD8
zAnUT`b0+nw?^Z*DCLjY#uD<n)pf<7iL(q3cHYFB~rbNI8pZW(Y#nm$#v%7JnmzR>l
zeEeibkaZg1XGrE39pWBj9@^Hl{iHv&DE_o_ve?v(mi!)Jc(%I^b$dtPhglw*O%^`j
zJ5zC_rgCp}Aa_yFI4kPb&c9x1+FyS#=Xty;cip?|Q~N7Z`)}7oo6-ieDHiS#I+U``
zbiIVW*;eYImEK<H>Vs-nT;P;BwxYO|M>DK!S~#$|C_<={f7MG@q5!T`<U=z$V4%yS
z^UB10fA-ks;tbeBSRLQWJ?-Y;xJ3xdbiQOJWTd=AHyAwq;>h4+_5p^0_?!dDRnTM8
znXCFJJ&#L&O=~VsH$lC$h@J&l`)?|y<mAYkQJp^dLJ%PxTP_@L!Mz>~aB=d0A`!vz
z1do}%O~`Cn&l@eMnpQ9}zgH1e&)FZ&_(1<>5%qfLz~XRXbC-hG&x`Zf!f8suM_T)3
zYW7yYe&2U9r11rCuuphtfQpfzXt-qGZZ=F~DL=#XWVR}<x%Byv5<&t^NuxL}Q#{M>
z>Im|h_i8X#Jp=?0G_2dsTYss{ev<f;<G3LPfqhb=<(M^Fyxn1+{FN}KI!wkUfLZjr
zec`QP{m+j+mGr&%*t65pEfc2gM$x^#l}bpbM{7}(kG}Agbmx~9f4P)GkI(@q|Jl{0
z`9}6ZI|Q<D=s_*odtFA!>)dTpKVst4`SW@l=(Rvz5@r?saR_B!$3g2^X2wMudUcd9
z?i6d3`um<{ac#&VVKCr{!6jMXq24&cRrVu^uacit!QbkLgoK2mBK7esgO(H}g>5!j
z-xcv<!<3NE3toz-03wBs^C&czBkdcj3j%x}QxD5>+(S^)xyG0JS@;W<B4pT=^=YuQ
zhjG+52Q+$GU7RU2nTD?H7?a5Z;sK?++iUZ0=Q0ZWT$yYQw9Be`cFw)o*9qeyDi=Yg
zLAxf-LLIDvX)(4Dau5jRv7deNeKb$2^GdbcFoZ9#z~pcupUx0N*sg;o<JHqGSwa$W
zf$zM|L*j0luGG<^-er9ocEW@#gS$NCVL}MzM}_6&Uuh|+gyvuWU~Tp9{t(Uoe&H;u
zC@*hfYO1X-M6k*$LJ}rAjMCeHKR)zEcsPLM_$G)puvCK2Yyq$F9w6iO_rh_XV4=l~
zSZtaCOHrHP#g}LFPvylrzr7RIu<w0OFG!kVW6%cRG9dDtSsuHn%Mjim9*L!5c?hfJ
zzt$9t?y0}u;13qK-KDT*|5iyVQJXX{K#=?g3a@^M#5d`EWj}rSjIp=Qp*s-o^QKtW
zV`6$`D16!b?U_E>&|z&^al{RGWHpTniHf4r4TJGPu`|DGKlQ`38XXlC!}8|sTUX3i
z3<H9ak(Mkay*d{ewl#JLC0{NyX}*^jmbal4>p7aJc;ZVfLdFfbcM{=zb|7Br>1geu
z2(t9@l4YT0@QL5<hFx6CHWCBuhYvqymQ(rr|I}ClP<JZ(YnVvlv_Uw3a;C!UMb%|T
z0MASp@%W^?wz!mKa8oE%OTKQ3@5~i7p}0rd&-3RyIJVlWSi@XaB8Q+%+eybM^>Q|9
zFPS*!t$o{@*EraN)W|95sb<^7lD~NSP3|z-w)TBPL#ixcOaKH$*qB!@NFINXet$5>
z^NDUy$`Qr9J$yF_v*ZHN&z@5f;A7c5Wy#JpLJvAb%zw2BNeQuymqnfGbFSBJ_eD;|
ztMF4`n|$0fcy=;#Yl^FrtnzLmVRl_+&*`CxUx*I47fRT(qUbv#^vWJ(zufr~PnRDy
z8qS<pFDv@vKi3pL*Tr5m!^*))5dh>BeLKLC#!~$`EALO#AFO3NH5(*`LF~n0b-|E|
zax!kN36VRbKi|&FW_j4y{7wt8V(~zo0QC8O|6Lud9Ly(!aymxSN{c+5@LzLUHkTqr
zd~)^osZXnfFWsIS7os?J*b`XX4n8^#1@FOV#kYt!e4{>685j)Zr<2pM5|dcEBAJ^n
zMB7tcgCuI!lQu8<0FvdNDRSCk-D()|^xx)}_en#LyXd7;G?@iPlH%e>WyI?bs8>Jh
z8+4uo*bLvE-u0lL*5YF%tCyHW)wBoH;>bPDGJueB<p$f!4*S<c38Srz4MGNxivoy_
zSm2g>PKu4#*^A6n<GI+?fhT!>wdObZ$0rrGoc!*K3NeI3Bc|sum8G17AlIob5?ByH
zqQumAAaVDZW_bP%gjHQ`VtRD3%&Z@EN|rSgCJ~sm06kn1g8C4e3Q()eC7+>Xt+1-Q
zyOHZjT;K+rJ@n3<BeUoqI3)AreS;X$B(%Of6RpN$6Vut=4tXJ4Nw3-Y^Eaw?FtbFd
z>(fF8jw$}pcZMJp;cw7J-!WYLK=i0_0Q0uQe}TCKrASF;T2$iid-jK`t@xH>yuc39
zz7s?UBq2p$4|8+>`^}W!jk=xKnVa>Z`8f41nET<3evPEmCr^l)MLY)ROFGQTPKq%N
z|3U#UE$^AL#>U;~#Um2M8?Ty8Md2HQ$5)e=*z)<8B><HHJv}8T0mm7NP6_O+u!84e
zPR#CLXgjHZfo!TQY4d~cpZ{o42aNMNwbc_?U8lJ}(e;n20i;<#0@2Dv9he{ue$i<H
zy;x8wJHGEh#)pdi9CtFkpW?A60Q|v1=9lnU*KBMe!NXMaf{BSdpS363vu!S)nf)vp
zH=LqVyZf>WgkP_{Y`TB=;-4~$n*o)l4+IA6J>@kRkHSrF?p2lh%w|;F$r=H7jvpX5
z6THW5Fnm48C-!jmE5l0{5%tpD&&4JA>T-A2$B`3?#H<&1^A!#@C;KRmp@Aw!lhNes
zsB1CO-B5m|&rg{Kekt894#5?dF70o6i-!r<7$jti-q3oypHjDA3AyKk=3UqaE?(Rn
zaM?Jinc~UQr?=TFRkqb%eoM=K+&Tu9wCQc^&vRkC3fb4s@<dKhxn?;LG^w<Xs)EL}
z>$H)O!x3L(?dPX-^t^0KElsKz(@T0_Upr=Bx9aG%ym>gh?MF*^=h)*>PV330Ao%cd
zV`Hov$;m1eVLHxI(#ZN9cOj*Gb*W_ODQnS9&M8q2HV~AZOGBC0xETg|ItQ0Jyu1Z|
zeH#>JKGXN!C<0gZJMx@qvH%;3eJ8!_ni;QN)ITzGsI)VvSz};VVDs>`_!{S-puyIQ
z;zL!a42L3)f5u$5Ia!kzDkD4`tz+lljmUBb#)~afVsdu={oLsJ1hc5`r%a{DIuBRg
zvv%I$N}%o1)4OvuE|_MBIcK2zux{h*G4o*kyFRHWWCOR0hgbAhcnuO~rwnsN5VART
z^l2GIh0osYRjH?1Qt|2F9%o&4F$W+c2HB6<Xj~ScS<lnknA=~ZYScxZM|q0%&7%l1
zk4W!mx6o&2t_sx;o`_s`sky(GMYcNK$?_sI(QC9m{XX@#{rrH7<!#FZR8B$__mJ6A
zou=AlW9f$7gQBsQS?@2LnwzXR7*|(ezJuVvS#fjUga|E{@&@!yeJIA<%_K6AOy@nD
zKn@OvA^hj{<-{+iue_*|-^(HIZf9d-(^$}WXptkuYbWh7L<663Z%dR}ALiPYWs2Cf
zWA@J6Z%(^7@yP>>0}bN0RxWH<DuI`P^MM$0gJ0VGH63?RIeJc7w!2REk&26pi@*Od
z$ART_sCB;CAKh^ah%q8S^Nc`4rcoj<k1tlsL@I3~9OFdW0Rm?B8#j)=cD|f%40(4k
zo5{36`-5l_1WKR;&N3ldjO2f4I`4R@|Nj3U5<+AoAxc6BAuFRKD<3-~Sy@R|GO}7o
zR#7A&DUwYY*(*s%60&!)XJq{zr|b9i$M<&Ku5VWz=bZQJ^&F4K{V^$9J?g4s6=Ncl
zC}yiUIPHPtHggdp=xV8D^oSRn(#<C5FmOg$`4z!+7E!a|j34B0FI`ttQv*o@UpzZ$
z*iBqkRA_22zelK}<LRIcmP`WyC+|-vk~ug9&`sj>|0bDGVL!vv*yZ0JqHyhwL3-I}
z^hHe@I|6!+*4EaUnHeZT-y3J@^CyECz=8P6>*LMW?CcJPT-JQ2q<qKZ<dT*tA5&x=
zKSzX~B0M4~Kkg|Wk~^WQq`8*?W98E3g*Dlo>X;8j-p54`c`o`W2o<CF-f9c)4O2cq
z8`SGKJ2?p#7NX#>!Uyy9&WnY$Qh2tz900H>B`H1t9v4OxQtV?i-n(G^8DFd$o`=m4
z>qrcef`IFV-2pRvH&<K*SXTiU&V6-Q`Bq=`FT<G{#gnx@^1=+kFiY}8LC*?hpL@wA
zJ|=YBD8Wu0tUNA6Q-jmhl42(*$<eZ3=~zB=bRe%u46-_8eAZ<?x_H>*fUkTakWqGa
zFk$FXIbsMX#a>_}2nk&H@7RNJO_8%)e}ch*)ERv_qwtaziV_q%IzsW-C-Ouo-P3+}
zZO~0Iy*(T$9?3ef8a5CeN?epr<keFW6?<_Yze}(;wkI512_o(zS)X66M<ST|`N;33
zq*+Qm)1~U&xGrF8=yim3?bQ@-m@x+Y;%&ex&U-$8epdR<1wJMYY1a|`g|zD*(F|cx
z={LXk6Stnv#S5W9W-5H_Yg4ug-sLtfsTRx=d(R}dI!j)ci68UL_u8|1Lx^J^-!IM~
zB}(dwuq4K)gWJQbKATh-3Y3JO4Rzw2FTOV9ytk)X3HfTUlOVb)@(Q7|>+Vm|gvNbU
zrfg)Sr=h5Q#cK)e-0$B|uOOJ9u+RhgD3gXrZNBH2Ms97c?<bGg6fjQLl(LMa*Xj?m
z?mx@5TOz{Wo7BHMAbqSlqb7$!c&ak#H093K<!gLD4mMT~2C3c})BBX3a$b>7O5WtE
z$IC1-1wVQSNGC%&U1*#R5N>_Y)xZiUOwO0`qbp60rHqZSivtrIEuafhBDZ2H!aS)8
zH^zz#H24E`A84~*jIb1V@o;E>P`=D7>)A-*{+M9ed)KUtG|++wNYyjl#UU$X-h-45
z<SqL+AB%qX;xk$9o>nr;qkOOR9AsxG=13?iO6VRDeOjtnNJxv&!}s<09!kt@eC(1Y
zy?iQ=GYj@ty+Db}=Frjd1It5S30O}-;k77%$qN_`SV#FTQuTQ4n)xe7ON#^-%}zL>
zd}h57WtGi&;J_tB$aXo*%+4w}4-jto$U7Bw1Kg0wbpYTED^V=hK7Lf@|NdWU8y*J~
zB_P|eA!5%9;YSz;y~}%u<l`;}97s~^@Q`76iBAGj10XspDk^ewAF);9e_z-QT>gEI
z?&9mIO*U~@zo`TVNS*Qdz+_(QM*^k-pGi16C8m!CM!IslFoAX#K6(^u-=xVCw$1F#
zOA{L_$PABCevhLN3DqbV#Ft?mWM4n>NEMX^j^QuIzQQ$+IhG&$r6IgebR1FIsJ3jH
zp7AF7ETotXYHbISH&U3v0pujVlaRQ*F`lN13ieIA{ab^iYj)3S^AM#WsGo&t7$$KO
z%YWg_0Vf2LZ|v?7JE>_qXe=Rj7@RL{KCE!C1bqAnFM(=#<}tIHpRZ?sO2ox;@WDJE
zyKH3zL^BB7sL>!mgI~!uzYEeXcU*~V<3&i!eoh?IkpY19CJ{PPCMx)+akJ%jVJM7K
z`uHBV8R~sPvTncd8*mbZ=Z}UHU5nXA4FI2kUPXxut!=e0A_b1xsVBDrC79O!8^<Qj
zOn#}9EnEa@7#4QwhO^dSj2US06mkj}xI{!=X!GHT#^1Exqb(YPa2|6dZA2!AKkUx8
zMb(KYVJteNeO8?z1f?W{=Vsp1$8u=(cV}nkQzUlE`+hJIoSB*u6dxKMaF((Xy#R9T
zymIP?Y|SyhPj7RbW3YZv<rc-K4>SDNaY#xC%}o);d`!(42LcuZ>KFuKI4iL;__v?L
z_e@vD6=Tuf+{-EmU`KtPmBqorf~D+^9XoKA!Ou0ddrp2<kvX21Gj~o?$cj<=`DX#w
z&n?s^?hrmX>ZG>mB<zo&0f!Obel>p{<zb2}ddw=InMwGrr7O;GQFio2{0{g#`JY&_
zywOZ*iMg-3_hF-z=yRH-<bfpzf&Z+F8M&K9*=ZNoXk{w}Dm_hdKo`KSZ0adp70VZy
zFIP_m)0Tgl|DOKVQlDv9_+pjF>cZQ!i=Cap|EYv;n_LLJx=*95D_5tqU|)K-%QPvm
zJc>8^5vVIi7+G8$)BD9r6mnuDa3LCdC43_usmjjRGDgU)bk6jaAb1#>OIZntXxpwI
z>Vl59b#|mGD9DO_%$s_C(`WJ7QQEgU=ACzw4-@B*{j-H(wte#V-=ECQWz0ILzO=fX
zb&C6TrpocDsuax}FP~wt`e`cOLvc0P+i<dAc}>BdcBzcAZocX2z^=jUljhokx!Hpi
zPPI?+U7BQjZqhGQa<D1Ot&W{o{b^m~DpA0BW>$*4*VCRcoF@6_J+s~iW_=H`&2C>5
zzM~T+C&B$~&#tf1p@!~<pWWgO?e+C^KDIT!8~-lOlJ$j{3ZEYxPbng(i9#++SY+H@
zdGreXdOW9ceC&*M>-UeFT8@?8az-Z(7&f2gzk8B1;N*Q+&%FVY+8%IR9GFi#1H=AV
zi|rb9N+{PcGj<q`eK5rMxQ8Hm!Dm^A=09TG5An%ZlpxZ8V1N;@8I~+Oon5{Aoc4uK
zBdS)iPT6~;BSt2$Jz-}84kC;kL`g`n5*%?%R64O@H9${4?0X{?`(<^t$T)M1nVJB<
zE@Xva%GlPB-X;X(>M2vkWN5mpEnOFi0U2&-ee++wtE<6T_1CUI9>i)8pKUvF01+Or
z;BLQJwsraS8J0k4Z0&BfX{#je!KliZgCV323RZ!~*DxSLCGfqy{k%bfq9P?2x)`-G
zsQu{e-Cb#!`~0Ku{BxHj>?u?tz7ZpcQNMgZCLQ!kh6C2(tOES}7`YeAMiPCGP?-!r
zOrD3hg(Bi8F{R;JXHHVO(}wUx+(I=RQ@=if8aUYTsCnokTtFzQ_?|ubQGV11gBtA9
zTs6mV=D<gy7DIsK7WW9`1|lL5yaQthv3Qq*L7IN9kplzc*q?R446wZM_J(IUAJeGx
zcJZ_qUnm{d6{)M#4syJysOTSc1(*R%%N|NByBe%;Lve-egQ4<t=>bBtHE@d^laMt%
zHl(_xTaP}p$p&XBs?*oH$7%F1^+UStH9e#(>FGhSQ?wJDL9n`E){5t;XVMLdYIp^X
zkQ6&G3Gh;7cknXok~!*Fi-dwSqa%?qP%;6$F!m7YtUZ(vQ!!Kx_!g>xNhZRA^X*2c
z_bX%;K>KAbBIPk-f?U%->&P5x%tO)%C=xclYd(EItN4_k4PnM8F}uS%Z<Qym>F=iB
zgLJ9A(k_8f<9IoXYq&nnh8~oEMhnY+)XCS~(^;9B?GtWF8aHJ*9;^-(KoJ7Z*}_$n
zxck{2UVW{Y!~)F2;>)Wr9x1yC@|up{3uZ^nyI=WQyuB5b0%r4qjeuJJ`0)d<Z&hx<
zx=w}C#?ax4!8*A35~k=l@*DFWXMOhV`}WOsp?^Y!q(<bQ0&vK%S$SSxb9b_->|Y*$
ztlop~Sx(E(M5VRt0rpIfhG=5T<nrH$qaD%psnoJ0ABRcnh#}*+&C;wq?RNY5vSnSo
zHMwtCVBeufAItq9UO)%-_b$ty%ctAspN1)p7;TIv!W{ekmK|w1rQ;>vJ8r=>QEXqO
z@1>6qC8R%6wJ6+u*wn|7URicEB6aSk>8H^J48@84WNtkN`p{l{=b*-LLd=PJol$Ri
zyO{R1Y9-2fCPf#YN!A|k16gKw&^bm7e7j)eMKu~Ib}KCY1w+KYEiPQD=NTHfjr{j?
zf5^$-H_J{Mr@~>EsZ?hDz`fwc;AlLytwboS`}EJf56&E|qbtAVy+uiKcV9)=*`0f(
zxehTG9*nDLHeHf-9u{S3$G<*akmOCnc=~(v!29*D#y6fjM5&3C&{D_cxbwOS@;^8(
zd)uRA{->#fRA|yJFiWs2H0%fdrg@ZgaR6!#i>E}u6&}l=h?TPIl;H%z)MWkWfhgZ|
zw7ZAmv~b31mESX>DwMl(W(RouzJDiDTh5(ersLS|!NZGt4puq+yuWl(FY#H~iDR&1
z=D#PG``PED$lFa|md)H`FIj)lF^TA=8L<c@j0+;<|Jng`y)Y^AhU8S`i}wtP7w=_X
z3NKN(`@pian3I46mjVbFf|alYsxl|Q1pljt1l|@fV^P8X(<Nbf2jw_gl%n4bRCFDa
z%g73J#}yCo1foE8(XDOcXcDc2ZQCHdecBxx<+pE#-?|eeKt=ypfjEC)%!Vsud=b>V
zl3whWc9YlCTXlUF(E$8Zem7Ys!qn_KF`%U$X4~}JM$`tDcyK*volyVh!`V{_iV6xc
zjrqOU_9@IJ|HQ>S#d-_J7X>Maj8LYT^Z5^`Edr#OvE6Nddp;mtTGkWI<}fD#p>@My
zlH{bfHz{bB!*frDTiDWl^Z{E%;csgM$IV|!0A3;VV&3yUHGV0_LV%>eL45&@hPem?
z9N<1}55le~pNNLVI1|1AS28-eAuL7zc^9by6k%U~qVC8>Kq&3-{L-I4*ybQ<H@^!R
zzW8x?Zycta49XNGK#C8NLo~@HEkL4&5*^ALba2qN@;|{a9cNRk9STC3cu2(2nI7Zk
ze<_hh7xfH@m>?&x)8elMS_&!!Y*KTLkog3|_nHr+t?(7V3W}9nNa#y`+r*aCj!7uM
zpt9RddttnF5aBR#P3`t4YDC06ELj4*l{D3ZhAQ&}=k2kbeXWZ!@mazyGScw1f2y_T
z8?WKOQ2Fw804iM3B9Mi7I<CevV%fkfXhgVW<%3L1{)b4zNHIvqMlR{zeJRLlYDF~g
z5|S2X*^z|_Z{52qZGgsH3W%t_4GkdT%TeoU@PMlJ=6Q%?g&N5sRe&Xi=X)p-!htME
z{C}HlU?$T{J@;By=`jON$P?n?WVb@g=gXgE=DY_jy82QxS*llYj&UXc|7dv&3pr)n
zpb5l(xc=H4=njD1{-vcd<=w=3hoz~yy9j+k&*_%8PO0^Xg}}8f5foypIX|6kR_AvT
z=4LVY)fR6kMXDzJz9@Q$cjZ|#g5EC*>Sf+oD5|VvG?x`pLR4kHbIooCq4g=bBDWtD
zGXc8C4GIn=R6DXcX!`ikySokda+t_0k_jtGM67S$*&ReOFd1_=x_XXm!AtN;tj~)C
z7oYL{DB0#?%=Is)?A0p0dwQQ~U$9vzY1|IPufZtex6r_g4jQZD2N6M+o6_q0%kRcT
zTU-zjnyh?wp0Yl-Kiq?M@V6JABxz-e<~sw+8|&Z4i|PZ9sep3_d`DxR{=yltC!SQx
z%o~lQ8FptLk)L7wl<T>EFw5+o8*{Shh*9YJT+p)T#x>b3=5H4?;v}XKeP(f?0MeV3
zy@Uexy7$y6(e+JPb!~CS#cxkCE2iEvAo18kK|vU3J=yB^O;<UVzKUg~%Vk-1WBvT6
z5%cS4;fQ{1PY4fU;NSbWFB%mZJ<0&69PF-KL1HzLAkxUww%RSkXZ=RvG|z3`P=#x?
za#~!El!H0I@QKN;oKQi5jnf_1+KRs~xvZy;%t6G4+}uPKhQb&2hz<X6cIgj=oDmga
zwi3fJnBrwRlLNCnQ}(A%v3d9metmE}M=f`kuNS9Deg&Ch8DC*!X6bl&t*x$lg7BV}
zMsmtpTuBq(<p9N8@bRDmq9MOB9mp*ICLR->j!6(eB;ue3<X(a8{*fxyFuK=x3atnb
zLBB63h+O^;z0)6cVIbh{|G;+fDkn}EJdXcLsgho-w?H<lKSam1(+C)5UTHB{Kc@hz
zRFCI5B8BLWlguH&sl@*dP>9!b>izJ9`N)-Pw3Ve^i}z<`BRY}qab8!9Mhy2I6y>h7
zXmkRiFW|U@VHV>Md8oCCT8-GKlK&lMvWkMtW-fJmv4gz|^FIuy=m6j+ZiZf$7?-+a
z^xghFWE=6C*KO_sRbXcaD}jN&J_wqUl9E6X1E@u}iAfWyu+SO|?Yee+X^_zCi?fcp
zne%p!BJX-|a1hBbqLcYXf_S3w+VN^Ii$Vfyk~U65D^afn?y##nI!{0RKP|wq#Fi-j
zM#n-A508`Vv^dVxUL*8l+Wmh*1FRc$4j^6~X7HZ2w-1+-_J;$v#mR|l1PfV^Joiw-
ztBrOWj0iX@$t#{q@F6AT2C#%#?e>QsQ69gh{`wopF;=3w5iV6W&+h>M;^He6yKC4}
z@Yw}~Xky6-5_i$_`(X<Wa4Q0BguK$AngAw680<=V1skIuKSp7ST_(tY#>OAat4Kw|
zUNOVt1ZxI_BG4(cjK_(87e6D$8pd53x9~%zM)p!+_azvp8%IAK1KSiLZpDxaF|ryF
zxRjlpzs~-F&k|Du_{%U3*SvN8009UjICW8G!)|bS2jSH#R9_~Y$A~6syq|=3pWGL`
zK#6rtmF@2PRyQQHzprBV7n^*byC#=y@{3DKZ~$N(>f((eRJ{*Afq*pB@t&Asd^-X7
zB2*?k<Ef&GvfXLfb(R?Ic!bl8pL2`)&+f<cNB;_f$QNvgZxry{Q)1BSifzj=BVb4<
z6Ay~)^BvqZBDSL}EyIa>iS?Uet)7<LG8X@r<k>tf(GsMYC+UWA3+I+>HhhI2y#K{f
z^OekR=?HsHa)0o?zO($)X)KS(aLy@g-;<<cclx~;qH`Yl_1r?vHCdYuUvutNM@dIt
zmO&{;<8ZcU!Y%#Kuz2TH`q0xnQO8V6S3gW<dE<c7OZy&b?^*L{gz)0$y$WB7k8~XM
zz=qnB|Ggw78fr%x)2t{HQZaK%FjzSInT+35p@01?wvdZ+-zDeDCSBTGt@5PAQJ8W1
z(N~o37WkR-VwYia)eY*LbUICits;_$(%Y$$gY$*+OFUD#7GJ~Mm<bTnNjh}GQjgE%
z<h`1^sy5E!ukB*_r8T%~%l$ep8GR4^pi6LG%^4I~;@?;rOY=_GfoJkl-fFh+zyM*T
z+hr132kc^~0*2VLgy}f;v9bilf=vc2JrQmObtUqsIAy+-<TB!)4>GGi>}0;4JG^cB
zQf-y%tDQI`t@Rk;d$3*=<dF4zPV+?ltf}O-i0LbghLJPF8U~4mvuuplb{LExm~BM~
zdNgb2p<guho<0%Fvc<Ahy3^^vsadH9;+$V3hmOi_Nx;4isQ>`R*YdltRyWjAztFGb
z2IV}YmG6xaSqBt5XoTvohaSX}fJcsvoPhzFvC8A7DAr(V5%2&=M_8Db^HAOlqRFew
zAF7w8(HEP@i;6NJ_lh`$-i!UOL#`2|@L02muq@pydv!#Vg=YNEgQcaVk;OGIEA`q<
z{29I?n#U@#-Tv5y?Tl+N<fYiuj<qEE^SjUCd`@Pa13Suc9ow5`Cl0{f`Y}yJ_;jCb
z1)iHvCqnWr+KC|p2u$Yw{+2Ec;uZi4*2IxV<HR<Un&cmr?lLMl#KvKk17c@DKWZ(g
z;YDM8<jrK_ZCF4qMpJ;o4qO%}pxf=C-G}GAW77HpVCl?Ti_ll0mBaDWe$CqY$Rndy
zc`|!_6~EWvZqU-AI|}o2EUbAGZm6qq&;gBugYITo!ULxihoEzRHMkj2sA7F#VgM%(
zD=YAK5ZU6iOl^auQ4)%JuqtdtM)SNyW3iUNg*T$NkA|F=hX-93YBVS{Fq?unvoY`a
z%!AceK)o9qLrn1;AJ4oevf@+Qa022Ve)Uv%O1d$Rd*AR>@`PZ@^R+#3&_ci#L7F|+
zjk%n>ybu!=JX%*J;*eJ&7gHRfxCy5u)(6A$C{S?DqL$%h4P!`-QhyB|7?cDUQ~^X0
zVkDJgHS(s_PX56Gt{RalbM5r@$cZC_n8q89>`zhKt8#0mUWc_En);EOaC2#)lO41=
z12{b`E#6n?%o1CWBLX6L@pZj#$C5HKLYd5!4#qpwtF#S^ed!ufz8iX+`g#QcO&h>F
zV^Me~(F6}VKYsjJBQhI<%gA5taCiC>x3~x|uz&k-60|~?&@lvo@^<dqzLyVgpJc?m
z^u4j~KxLH&ZPIm0MH0)SQ-#B}SLfq89<~fqo2^zuP190(nl$Xoe$83x<nO>4j=C!C
zXv@YPCM|6u%B1b%Fz1d0!m!Jsp+6Pdo9HIWZ|?f}_Um}%Zo0t;HfJlAGmJSUIrZ*7
zuUCJG(C#J$*ehPn(~m8o?_S5Bs{I77Rl-x99r^IHQPh~*(&5nyqR5>W@mu5P@Y<2f
z9sO>gu<*>%*54ZHS<4=ZTq6_2{+XIWUMYb#zm;Yx_jXhATb3lLnQd8_-zmS`FYeu1
zrB#+IS`>Y}f3CWOWo2MQhMF+DJW%!i;r+SK9y;e~aw%DN`mM{b`}JJkJ@a9Mj9Hz#
zHg5g+@3ZoBVWjOmBa5o9NM3xtm*~I$KkH5>6~Tm;_+qGt?jR&ya#j>_JcN;5pNomi
zWKrK$Tj2utq`Y5`Z`%uoC}adF-K%R_T@m|~`-LbZ%jb6>K2wATO65qa2ET-!k_`K8
z(I;@~6Y&Z)bP7JRWq)w$yvJ$x=M0^k+vpR+1u`)@j`3Sy#kszf4kOuI+c}yw+m+AD
z5g|r{H`ZWh8l|RLN^0sj@O{_EzDSoD1e#LAkA?W1{aT}cewtr@Vatx+H@3-{Jja1m
zNzq}pI^A3Q(xoztsu02u)qryu`+f)8FE)#Fb0V3ht<|?RQ`tB;aCe6=A43#S(lRMQ
zu#uLA2AmyWePF@$EPnHbk2MV4lKpK`*<bPSvBHzAmqSuk)<%!%TWu|_=m6vMY5K-^
z`gC;>W|(H>jVg$n0mjG0W!LVuwwk;t-dF-=SNKAvoXrLBU|--%1O%YP!(HvFKg5lH
zPJINZ)ye7U*O42GSN%TaO(7!<4>m!BrVR!e^qw79ySYx@<Q~A{YAId)wQ<?a8y1_Q
zbU5kfR=EKUMmi!4W6L+M=qlZgXFB*<geKr*pkfmCbd94BGd8q6bs*qUgoqKMYi@=|
z4OVz6a0KB8U9^>`4nup|{d-DW&?~^}q!tavV*`^8@{^Wt4rSrR`O0%1;fVJOJQd$E
zz6jw}YATK@bk|f}x?p3)!*hm11D#x;1uVueh$_uFyPw1;3rq_bOp~<t(4V~{^30$$
zSp*3{T#u0W8P$M4iJI8#lF+{3clS@esuZ(Vz{MiEAAlkWq&yu>jg{Zc2s;pFo4RR&
z;_T!gJG}9;Lo0=%*sZ;2Hx{ISN>iwrXviT8g<<h%?h{RS>|tUx+}+#|ZlOtOB*iM8
zwyN#%xebt49OiI8@_IM3Kdmx<p<0ZU!u2r?Dx1UkP0+zQiUlYRF5iT=yG8^DB_<yP
z3?#sed_qN!fkn&supd?>QJz0AXC3Nnrh=Cs=K|?5X>`*_eg*$o`kEDqaZxNR`ZDqG
zIKe8*9f@za2PhqhEo?M_NE`a3J+|l-tOQ9QE<O+H|Ei@+dx0PVP0ZuQjpcA_v+khr
zg27pDi|c68`v4R%H1!(olJG3xD~-4NT4YFb`&4CKMxEuL?@rG-G8XheP_p<ymG_?d
zpt*B<gviX9^T*5Q_xmg}n6#2)lGcB$%yV8n6f;15F6Y%wnmt;FpO6zm>J|`_{rp><
zoJGd7+c!#%mr?N?2;})XeyW3yNAWA4b4&YbL({|3iiC%s2ZH?1%24x@{+^ws!-kTC
zyvKa;;r)kS4o21daeB($cLr_HhP&tC)gfJM{;$sem3NrHl)d0Lom6Ha-O$yD!?7QG
z4F_NDuUBxRnBN>vdOXzNq|wa3{(BbD6B@=F3kDm%4ScNkZY_&`xmsC8Li54GW9Zg_
zEk64%o&(Aot2{o#>Y+DV$4_0`#e70bu3F(DwLg=GDOCswVatOeoaS(RU3`q+i-!VA
z9ek#pB+0D)eRu3giM7xH{2%vyPq0Lry*u@a$Q$+rBWJVOqx?FK9p6D}vlqcA=aHPe
zDaBsnIalOtj&oMXP?lp`N-789;{JaBkx!4dwze>mQNE+FT15vv#FWg&tmM2?V%2+U
z=SKAm$ND}$nouIFSIY3^(bJlOL@<vab6dJ|w>_fMg(h#A2Fx61XRS45lNa09zrkoi
zVuBtL3<glhBg^14^zxDpuEgU1xG4b`9rTbexhZk!H)4(hYYLvl;uB1+tySx1^Dw~X
zf5OACi?vXL2l#TkW8e|ADXKxntm|kGl55nS%!hjqW0r;i(`OFYXK}KjoFM<GQbDCe
z{b+ee#c6t&XfkOWCDq1xh1h9dc^Mh|{4Urp&?2T-%^F4bzPqA_zY0>OVi*c{JOvX#
zI)g8s>VMF%ckJ-kBb_pWUAp>$v`eANKePB~WM_JMIvVrOwz>;M&uS_)>20*^7X+gL
z5#IiGAsUVeIDv2wz$;0_l%a`&*%%Eqpa(Ej-q}gb_aA>;69UYP1d*3QK~4@qXZ2vt
zse=Hq;Gn|$HRAv2KsXO~K)x_T6kPr*OG~IlFi^*1b_0U#S1BohAi|HUK6B@{W(e|;
z*P^#ZiG=Z)V<DrpE@H!?8bFYjmJq&Jkbz-*ntq;Ooce2?8^M3YjvvPk7+oO>B{B=9
z_h&DH(_t?16w{$|=b$#gF{Q)>;tHxW2MG^1H>f$kMblq`?i(K;@a!x!=v*yxp@E6F
z5mKj(Vp=>J)qnwhA(qKJYd3H%Vf&z)hSaoxncAL38HQkVtAU`I%HUvD6H|%D`WjLP
z?E7CeQPDN!2_D^Uc7AKZH+1M>17z;-1h`#AhDENC53N`<2uT>aYxBV_3y3tTFZskj
z>zh%Y^kK?S6Cz?dRV#7Ey#ya1(%c&Mc`yfLa1)ZWjrewR7w`Qqsf7v)N$zLkr@lW!
z@~D3!s%w0~;r{yh^QLIb;XRc915sdpe?IOQrjpn~LR-UT^dKPl9@E=ra(gM<X_u{V
z{0bOmeFt<WSSd*xs^I?*J0has3Z&N<5>=QAupyMnJ$gxM!Djm@ZPRcY>A!Nx5>gxD
z<$rA#N|BE~MHxGUeW<BfbuKHH?M&~^y-D8J8KK15UqsqpL2@p2Fz`sxq^pT2<0M_x
zXfURcKd0T32nixI{BE>0oONvdXRMD)+)&J}o~;O^aQb+MhmvZmW_#-z#^FEsOaB~<
zF0ky@QHpxOo2GF`f2?R>Dm+B%KDz+8hV&1xK{%ayPdAXakEGGE#-empD4gc<<{{Z7
zN!fW?-Ti`&Rl?;PBm(YkEdIT>!)1EjP2D4xWdGRGaXPiOf3~JHaJbBxMSt(`&z+vW
zoDQ1zhJU@O`!EYx7yted29|cu!AqT&VC;D{)DZ78E|SngNFped?I$HqHpPI>%2n02
zRX^}!+Cre;8r28oJ)wtUKZ1n4SdV0n%jyN=Rl|xqwo_~G)_VoP8~aa2fSYmr&sj%g
z$SbUOwQRx6NTh6_9D-WRAHCyEZ*QCyspl=H%S86Aj>p|7x+w&mMv_ZKmqQ9`pWdKk
z#ab8?LvQNR{|pYfiyM8_4{x8wCooC((whcN`7Z=R4|kNWocLQ&)vAwP0^fP~&R||A
z;#5$@Ngb}m>KzLyZ9dG7(W&Y4kN!5r&L0mBa{QuS(})N?jsIb7M}xf^VgP|S;E8&!
zSE0n^Qfvai6!L4{|BPzE%oTZ5nFjFb@a0ucF5|z9FdA#1H&6WHpCs5g^YeYkM`u90
zdKz#Z5UDx3X@Fts9iuydIPN=L_=0Oj%cC^{y<YXPoHx3v!hXLvgDTvw=g;pwYt2N|
z^hQTRFx2+;o;IIJsps)o%^ISbBGD9jS)7iz=;uAd$B{$GedZ`wVJujlAx|bUFu?$*
z(8-I&#%NXmIF^Bf1Zj!zHg<LzIXPw53?8g6Knk{HBq2u-8csaIctarM5sEoXwR<PM
z8IJFg5^wkmv8JU;1Ei~@7c)LVX2}yL=s8!CdP4s>LTe4ZWD`JPN32#%<55DWW|f14
z9upRovDoG26}?fwsutbW^a?`8QrlwHUnBVe^Lx-?wE2Jt>`{YPz*!0n=zlzn(u^NW
zgt%n!GQf=i<^Mj#%jfwh<NmDU2vAeomAVW0I?x<8SpCWX(@4b;QZ4mlpwD0Z(zbX1
zHiPzQcpl1NFn%!F#zDv6wF8wCj!smtSgt}O8hJ*4&@Hg=Yr}QI&^e=MP`&^|x(VSZ
zz7)2a&Vle{z<}!J_BeD8hWpFdW#WXK`Kr&NRCf^_ZmlZ*C}4+SEb#}&8Ku;cJRKK=
z2|yS{Mrx$#W50kM=-#s+kV2vR2D&GhU>hz&5`%#m+Rw&3{1t#A9x)?}X@qTv?_B7X
z>6;oTbTTuqF^qm3?BU<IZ(@RUC!k>LOeL>K_`N;nGZrLOGd*!5`RlrlP)s5}b4-1}
z|JpT0ZU!QYy=<6e`DGr9uphN(!!EX`Zf^?BdxdC<T<VW-epTf;ka5JQkZq|{zu{2>
zWKUmY?hWOXIQK7ix{{q?oV(}Tpz(?NneT+0&#d&w?fxFBtGl3#VrM&>OHSuQPuG8Y
zdqc4N9VuohB7t2u^zxMwL^zD8)5!XZX%$I0eD(*CAI~OHBvCGtl6a6s?^#nXxz%0v
zm8ml>?C)GP?c;ref9rVPttH2Novkg~zH^>;RQ?k;pK!H6NtKA_n(0%jAMyMTa+2A6
zY1vsTkK}6(RMOH7hO0bOt$9^dVH)Vi>$tYN=QOHHbkx1Rc)mX{PLvt`8Az%)L<iST
z5LQsB3Y!zW*UN(ONT7c>h;{`uWKmI9j=kpaqkkhZ{}6q0KJ=WeMf6@8k+Ft{r+b{7
zPI9DQpe!b1-HA>RQhV^F^xn&gi!XsKcHwZnz&734-;Cw_-^`=;`uCDJVTHZX-M=Ma
zdrIXBJBG`;qkwSw`)>o}hn)(}1$s-Q6eGY@iXH7lO3Ft&aoE>%yl%*HAZ_9_q?oY$
z9h?7ZiUkle?LTzEtG{~uO+2F)EKUnG=7ASz-KA&EEJ~C7FQ*jtnqwECc-1cTN;*Dp
zp~@y7t~eO+-imL(vVg|Z%8Kk3WQYh(-T*fb3;d=8Iq%Oq?>I}9Vp2e04zc$1eERvD
zVU~$k`53GczcGz_DS9nU-(G~p?%Hb+Ek&+JcrcpBRZ`nBP0NtuoESrkjUT2*+X8zU
z&;L^Z+*dsK!^+3U<R4)=^3KsG>Jjx|43JY$Sc_hO<oS`%KMxCNi0CjLIbG*^^dhGP
zk|$W&n5cqDF=fDmM|%4OPF_syFx@~FwqmK&O2Ecm96}I#z^W`055QF8roE#h5}G0N
zq&k7;kXOY9t2Udx<f7Q25)BojQr4&pkL1^C^TDcjLna<ijBzHOG7Q=QVeMuhs1;#=
z3=FaA{*-omtjaJtqq<uJe<L5$OHm+j(9FW&*X#J_W|?a-NPs=|?<FK9L6tx`e9wTJ
zA*mIr4lFT<3<TBZJhvX?pAnS(ucE)dtqs322r-D+z_A4O7w?l{6K1r_fXG0BC2`Fd
zcZ&$i2)7b;h@Y=QSul}SRLwR<<Cs3IqQw&hxL202^*oxQ#D*Dm_?O`YB_l;%11yq4
zF#@p~k<zCvn)dLL#vQ->5wkV;LIh^jb~(F=J@<KxY*xjpp`be@RP5_@kF=0!23Ygn
zz35aS#ci8VR#t{59CBlx6QVLQA1>F^+E>|$Lkja)Oa!E(o^Ie0vF_6^i)k50;Wq8Q
z9_z7OI?PUHVOu2En78I*nxxINb%t;098qP>3!&A0q;8v5`1x*EvfL^Ws;^G-*|0x1
zx1bri?(DKov9kl}VE^?UMU;P+*7cs*F%ZampaJzSV=DRkRW7i?p{8hGvZ=#lb%bek
z6kFw(%UOzYcWKkk+q`|ZF9dbW)V~}XCX3W1zfFjffj(;Yxs)8LjfqAn^ZL5!)hQns
z03qR~xl7?xwL{Xf-3=|&bD34HxqF0xd}?i7ZC)Yz!9SDqp+hSn3Y6SC=4!UjiU%hm
z=V~nD^F5V*C5fPQd5>y*`wIu2^kNiGeR5CuVfOmLLm2*+|JhfoTmPrmkEY+Bwoe2X
zW5r_pEOI@&f}RV{-czN_r{y~I_v3uJ;e1pKUOAeoOz0<mWL)ss#Q2&xm>4;OAO)Y+
zuE4We!BEo?6=Rl%IEv^i%67ywRsVMHdB-kxHP@Y&n`>i3fY<J`^wS%jQ^(M3r)Pcm
ztsjO^IK&)GhBVH_N<)upQyZP^{5KcNTIuWZom?CdZ6AmzDk%DlGgI2%C<d{MDmq|{
zQzz(p0%&B2@7|r3Vt2$<_x2(y-_6fa>r{ldnJL*|JJsDF4Ez>HJKto3D-U9U)WIvb
z#)0@P>%p;UE@D^M4ebwt@hIGb-X<yJk`ZNYS1#D&EBJi$vQP{(ptcx}{Q5N@%gt*6
zS>S{lB!a9o<gDYM#U)(Zznlh1Y5&d1W4{rz1eA#zrMlURYmg{GJ8ap2B4gh%<D~|6
zE8_b!;6jT#^xrVJZ*rMohmw~Ll!aEJ*pkO<0t$_QFdz#5t>5v7&<k<zqz<Y952dWk
z7sC*y9q^$s1e2|8C7JJ(Wg=Gi_+vOrVl@nOb#<XmGBi}_y8QU~$K?kmRKd9ije!J(
z^uYC?AohJw<S8eUh+L_!W|peHYrzuvopA67v)YeOg2y=`Kn}%F)^fm3gKGa#%`{l{
zMx3QU+e4|M{u-5`i4T3)86BNR%E?J>oKU)c-kWKFu`xOmLFRM(Pq+%@bmMlC0*M9v
z2#S@~vwD%@CX&uvyU_Zr|NV=n5v?bt$<)2H#f%hq$FP`&9QxNUKx|+u?|Fq+dNx@H
zgX5S+>a~gpO4d0T^cGGMh@NwwEr&B_pt1Y)i_gnJ0u|QgFajpuzAcJ8T5O_u#RAHx
zj0_Y~L$$FqgI4OHe`6a*<-cFf-}Bh+<ftLSB>-x1`=HHdB@w6Q0kHph&mTDLAx|R$
zf=69Jg~7ke5R7hh#tk1FJTM(z$l0X|_%#lJ033LWp0Ul$oc$j-d7FndWkInzal+R!
z%GYb-^8dE^fH=ZqP|x8F^I)&v@eH8GS4@Tf#v8Q;-lQgEDBM5Eaaty%QD$!7*lORh
zQ9jlCBT};WJ*gPzjhHXXmwwpiz(Gnr&qPaSp~u@d9k{s3zbB4ymL0Mu&zjXW)-Ra~
zgZG<8jY_B`c*#wSP7L48$@1aw_oM(oj+8_wA=oUVCb5ux`!`}j{b+n?r)Fx*JYdSz
z=WiNyWtEQhH7}%oLUS?P(vwto*O;W=+?uc%Ue9*v%H0=vij+G&?RN|v^%>>j)1tA)
zRA`jlVW##CUCH0M-yEf0gnH#Fk%tc+S`Y538M}3g@56LKx2ey3ot?N02r;+?x)n;7
z`Ct^Gs|ZwZsv0~*dG;ldF^Kud_Wnz<|GxHB!%?>}@D*J=D&8eUfn87H<`f`9Q@7b*
zu;KIJ6n{If;B@L}jie_1!DCi)aUFyK>=EV8ucPDPWM?mR*`H#lRaW)r5IaXTaV2qH
z<y++L051r~(IsQQt9#3ZnhONB@kK095CH;0B}CrhtY?z;ocFIEcF8ojh%h?$lC;WL
z3l=<ayA64w1~WYKy3ogF)(j%J5+{RxIjnOqG9LTo^TxLVjkn|{kjyB_-Z+9j4m3*s
z&50wV8Rg|$&reu!a<bC~!59zGfX$buRlbh-U4WOMyMEj!ML>TBhcL;zcki^RVfTI9
zJ>N<nQrG9R_}>Qse7z*%Mt^q|KT(R;+(#QUVVG-FitmnM|Dk{H)V$V?_r{mtc558H
zPeKYY0LCLw<R~ZOo<=bNf%IG3Dfbd>J_iQ}K>>lqH6JTG?0ukeKgLYGpB&qcByD6}
zP+bTD3msxf4IYd(Ca!=$gw_Ht29Yl4754AYEUs<I6O@d?$%AYb?AEc)H-KXMCMIKi
zml-I@0t#+RHLPlKGazx#CK!bTX{D-j6cA6*ul1y2FAYDoM}9I+7j6dhFgK9>4$lUL
z(<UZg@&u2(Uj75*=W!gnZ4=n{HIT$nvJq%%kRJoaO0W|8Hy4-riP)T|#A>uZgU(C;
z=$nYdLM}1KlPC#@_1#P4_BZ{Z{y!}MB&gY^^5vfmJkktr3ya_PFiawN#cocHgU&iN
z-s>=!D%l+Xo}%5tQ;cuc;+pDN!}I6st|@a7XG^|+-4;Zoyduq>KKclirSsCa{fg)p
z*lW*PTW~$%i`PU@^XKRPyduaWicR-%m5Il94+9s=Tu)qd#F34OX`cPKadJsWRshxu
zs|8pNf?Q*8^Su^5)poe*yiKkV6II>BpP~7d-NX^d?P_z8QY2fumuyDH>aFi4_4Mm@
zId1TNS1Y&Us<h=%pUM2yh8S%fw;m5W<=ygyl(X!CyrC(sf=*|pX#JUr|0D)d9c7jn
z9NWA4!?x96XB?vhMX80V((3edl(i|>p)pCzX-)P6(#<wuo;kUUf3|lDmr)SbWLG*x
zW`dNHi;-P$L#B7`)2}x{)BEe6(vc?FLC}RP^&0F{an$IDeWoHk$R9HQ&AYQb#PV2*
z;Q=$V^+{T!$9!Rbn(}rpZQWdmVI`q|Gv+8&%LytgBM0dRSDs+{v1I=xEl85apNWuF
zw(=A4BNeMdA!Zvx`+!jGa^OIF`s-H_{wox_YU|kjG7Fikf}k94(-mH?K!NJ|!;Q%V
z@Ook6glhxIdofSqhv*`RO^Uo6A3%bk51{V?m7)|DxxHtJzi?uK?s2~gjz?tWMKr(D
zEHlGtz@)>-5Dd|Yw4bw6Q&Y3EW<T#-NEO-kye9lX`MCeqhT3UMn83|N?$uZzfm<^b
zr@;|q;{L^0U#NtOH4M=JH_HJ1#%YcM{BZ_t<?J5-4lt#FX6C1IdOJq2I4s&NudBfA
z0ZBGPuy!Ad?<bKj7!vSANp~$<tKYA)45`Di83qgF_;ySlU|~7f)wVyYu5)_DP3DrJ
zA##rud?x(`5s!E7>Jb=HUb@~OU|xW=D<-Yj&V#KvQU*^jLSqp_Qe_S~|A=BSIH!v*
z%dwXRLMt^L)9cH*ov+%J5zZFXP;_EnRKvTQ%l3}gB@*kejm6V^Ot4yjOaWfVP$mc`
zGBT``WGH~^EOQOgp;k)zDqPqtcl@{x$VFZc5tq_Ky_@{5i4br971wbA0fFSR8;XD5
zrltmcQ-k#Sd<z^_2tz-5{?esP-88DUVkvDMO+<+4zK1lrWAaE~aDv|B<H}sT3$|lp
z-rUDiof?E6u`@N)g_|&6X~ami!3uu)BVsP$ArLUf(UQDS70Ys3f+7l%MKl8=j<1%m
zX+Xz;d{8@aymsuoA;*FJuf+@lq@iN;9&~1`4Q?_`|9#L@I1It*ptC2O&`eb44GfqW
zc){ynfXD}<g6L@QQFLP=oKak_jjG=eub116q3py+5%Z_@`3!@-SXT+fEZ!^w#SZVc
zcv+}&GUgg_dYH3WMq-$?Q5<zrVf1;TRCB(}(eTY7#pXGA66GUy|C9}|;%QHO%eat_
zVhEo(YB*>}ak)TW0DEzhjTixQX^8<uQJ4$@mp(Z=o0@nuAe{Db%Q%rpF8(`_4u4Nv
z(>F7&ODD=qx03?gWVec|h$27}Ok=L~m0mbn^Ey9eRpNQ&pG1}DI^V>*>Vf<E>pt{~
zyhS5$*lFOsuQT~qZSnvns-r)z&h<!m)?l8{Xq%ixCO1sTc|q^AO)xWgAibQ!^40V%
zTeNw_fn?MB0Y&4#kA`3UVc{Z{&>d*Rus+@C%rd*|^Kj}c+Mfv71yx8y;q*Xifjmrn
zP~~PBzqf}x5{?Bh!ytP|?O6Hjs9N_%AVA}e8}lW=9s`tE*=UEGcCh>z93WtpdH;0f
zz{~x5ZewZxb-FTz60RC39&cy(N|z8MMhIiCV_gcne3`d;7XdZipFVFV_-|qq5n+O`
zmtVi$C?*j@0e`or`>)n;HX|YlR&JtOqC}v6xGj(vYy4Rt+h;7+w$FRE45n+mQ)|Jz
z37t4Q5PQqFl8lCd7zss$_|MhQWnV08o_0@UfA;y`{O^>uW(`)LK&@H1TpyEi9r@H(
z<}Dl>+;}o&wcsjQ+3+3_Udj^bjX%^Nq9geS_;s!J@|N+F&I7kpZ?!Zh4s{EL%qm2v
zk`f6SulQ0R<?rhQG#@(xVqz-j(@i#M99`p!dkq*NArtCPFD#6?)04(7g*?2E<kE}U
z5Ak>*!=p!r)b_9%35V5I8|3r-K<<FZ7N$)7-z9k_-L!WvUsgLvU{9*bJ>*&pX%UW4
zgY?a>zVNiQCp22+iOKdTko#3^L)uMLUa6>1NZvx(ihv~yMxm<En<>JZgQ=THXqUsv
z%`yT;mCZj++Npb%^&$1XH9osz5(l4cfD$^7HJ=1Wx<Ct}3Kn>nzJNgD@gYP8abtQr
z7B*$3!g5D(JP!=KQ03-|7{WnWW~wz71koT`o7#)qJK5OTzx-3HEEyf5!nXW`gajnc
z2)c2j5BB^N^mWkrA=!l_ZD(qF=wIyLBlKi)`DUO6d=m9LTCD=FCXy;OWFpasiIqSK
zJct`JP6sS=J{CE_hCF>yiVYY&{Y?xsOHH%;XTb=Di8M(&NAR4%H<}t28uI1^7j<Z?
z<+U`w<MpPugY70`9m)3(HDF?9rgi7g?_yPMgpY%8#vIaGj$fEZ!dBi4qiYCu;9zUF
zPtx{u)hC7=ona7vt&8sFzBMMp{Ose4cW_{<GLaxS1T;wPisd9eAt9dp+YS=lJv|tI
zk(vKb&=S(j^^K2(CXzCgEvv0N0d6@p$uEzeimsz0c@U!Vnk~@!0tPeculXoEJUxw4
z+n_kchXG#=n4{pf|M(%{z2cB%d`>8)#3aj3{H->hRGtcmd(-Z}SsL?d)pp=gd7l4E
zf%AS8`n{gLxLbU7uI!{G78QflmbtPBgzP;$l_&8y;c?mK-SOOP&U3~&HhW*H^~|4C
zic)<w7;!N2R!zj8n{!jl-=kmj-O-gZ?WQmz6Wv9-`(+0Sfq(zj%B5dgUw%a1hbJ_l
z_l_s4;TPpcHV?vgT6)@u36h(f*e5}eC&)tn{>U3XMXmt-l~uu4$;sgHA=wBeH@YJ1
z(X&DeF`D)C^tAe(`<@ymcNnIGO{)Y-9(}GfCe7Vb!`OMbCft$Ck^q^^jn`36oV^`Z
zBX}P*9ZIZ!NMYEVU=qDGLcU=wKp=aWBRv?#9#b2(F5<m11?hwyi=ZLgf_8R4Rd$~K
zhs)A!X&GFYUwt=ln}VYVWfdeLQ!*JBf^iW3yf?VZ?ayv-wyqnRxYXUHlP|(o99%-!
zPK!*ku=iS??ARWp^M8|`e)Y<gwTc;e;<f2R`9>s`E2Skf<A%ApIqbM%_RbCZ?r!Zo
zvL$;drrt;-6%XCZ=J2MDs6a5l0x@7*ynq7<Bb$GhB~%<8<=$#Opz)tNR$5L+fRzD-
z4v*a922zL;qA~U}FaQ`8HY#W{fl+vxr+MU!$;4G|hC?eM@WEq^icMgzV`{*T1s(1-
z8$v)`^%5vwN#-=h&WF;~TuEf^(r*%|0$!%1U}phx1o|xiz1(D=X4jQIzcR6Y@Z4*y
zgCy>A1E*O#_lwy$pJPK)i=~lZBhkS4xw{f|_0kdnzcZd%GIMd(lQJnUFSals<OKj3
zxBq}w6=A7er<QzoTZ3o#cN5raIE`CAXWsu;RQUX?5(#a!%Xsq!?UB-dkKX6i4@21p
znHsvO%pbt{|5=Alv3r^)*AS~o49v1UU@#}s2x!6?_cP@Bg;$pms+8SvQdYL7zn_zm
z46s)?ux>D5Non^GT3qR4Cn*?MpiM;q1|AEnSf=(-62lJjSdyzefIKAHIvvy?0Rg<T
zwU#b8%atM@9XH1m&~nG@btmvj^7K)<OniNH=wxgfbimwf-zJwa)QJ?fgvTGP9mF55
zuMwmP{7++Ja3E4~*%dqt^bA}LxU<5WB@<gPZd@>Ybq(^8O~E~s7>Q!Xp5VL^YNBWB
zTBPUugcvP&ZSW05%Ae<DYQ!vA5aj6zu+PFc(gXt(QOUSDybDv}3a%f<n%}w$Jwf=h
zXCwD6Py)ddIANx@qL<$8>LKc358pbbEJSuOoUq53LpmmV3!R`ggeQZ@#}^QY`~K`-
zBmhb_G^0I1@N_&#Bp@8&ncBCdt;F`=XV=L_v+!06vomt+JLm~OMga9fXV?6UclNBx
z`(3;1+kVi853jd?u0?R}K5Lg=9af>#!s4dBQGWu`)1gU2b1ybUm!;6b_hnBFf<Ndw
z$loE^=jXhGmgZnA`K|P^A+wZ7iKDN7c?@>)4P7yjc(OW`TbPs0nVxca*g`21!wlQ)
z1Ak1y;-ZJsV_xP_&brswaAGtKO#9QN+L!)IFmIay8(Zu9RO9Z}bjzEnzuVQ<(vO$W
zGFpUsel-dd7Ob0*FD>W1+&8?UzA1#!<5qvZs<rtyu1A4Qx8)?h$8gwE)f0W1e#`tU
z<P{rKj%AcFU#h3~4M)a$F8!AySpK&?TQgB!j-8g5Ay~17E2;r}bWFs~Z$*a8KQ@(<
z-IC4$)Fs<zRDg@b&r4uyUHQwkQ{KA`3I<a~f3cqJFyB}kPwanpB}(;ag_m^sx^U5^
zrC@BJGpQVQ=w?2-#l>Df-(A`6;KjHf1PD@GOH5R0EQ{>+mvG<!UwVOAGW+S!#VFc~
z;gy5+Z0oJkG=y?W_mv@vmf@~UbCxkg0dY6J(0eZ&)d0p_Yw{(h?d_>}51)(6Wm}2K
z$1b!*TAwprc&IWYRU6EB@=(bhUTfx`)!DBntjT|x{?t{!s6O%G+Ld#~Q>MyC-@Sen
z%1nCb&|R`fDHn3J=bm(G1=h!|I!*lA*jf$Lt21C{R6I9Wx;<bW-W(mjD4jSjJDXHW
zIPp<W^i!HRM{nr5DM`&K{yUA+y>JB7h;(hw;j8@ZBv2Fk0|yt^YTfS`{Q!x2&jefP
zto~`uGlI;p-+#MGgD%5JkooqhQ<491D*#~DRnUeAM|)LWCg@=AJAZ}Xwqasqd>oi%
z^!fQ+vTF-Ax4;;E`xej8tB@{q&9WR&UZ(tIK6(oY)IJ$Dj}Yeg=&%X_hHv=Z^UmnQ
za1Eh_o%oOT_Wybxq+AhAf)}WI&{;HA)@&%~@ZrP6EC2<B9!*8^-X7Wd)B@;Vx<TgO
zqP<MgQux_A0U||IgOX20XAXc_Pc2yDHF<#=P(GX+M@4=YdsMhFlakN?;<bp1N6S$u
zBYFV8|7%_8c+G-SXUAk!t#OevoD@J3j7Gu2!onw2#5`iz0T~>g+pf4Bz=lIxWB;Dv
z0{reiAR9rQiEQ$PS6F;F<fy2ho+_ZJS>5!r?0D5~k6|c&kp0o%nd3s=EqZpVapq7|
z1Gq-5tvcBq>8*B<>B4t<-+qXjQ}|_<YN)<i_O5w3Oo~B-fNC`_57@_V;s@ZSy?v`@
z@Ka+Wkr7LOj{CZCm)Tbh!4jVMV`-j`#<+j1ih1wM?f}k+`Is?07%C6cy4Iy_QA}Y&
z6s(ld=ZdimPUfg9fs3O+FV#*%jtjav4C<@x7#Zgx4kj#+<~Ax5Y;g0OS#v2wHzlHy
zZO!D@#V*Eh?Xduo1yKnI`$p-ue+sKRrnAt395a5$XRGmApC1wI0IVZD>V3)$nFCku
zk)G-?YH-0Ew!!MN(4lRL<D23fgxjYc9^=EIhT)X-&O2ISCM2Q5dQI5gLPQnLKK;{e
zkMLAgpQG$H?aZbCEnUL13BPr+1pj?ymqo@dx6!$@?)-W*>0$M&`X|Q*=5q?!W)o^-
z42Ozg0+{cQu{1qWz)o`O+_P5Qxb>n<_o<1%x`5H$pJEcn$O;PCJhpen(s1pP+Fbo&
zBI|u}p+9@iyq6tc{g6!QJ38OZ9gw?F1z3J#Tq3SO!RF>38IFq?%-vly9<utGYHm%c
zGa^vbq>ROfgP&?Xrk7=L$ls~<?~{k;atkTyk9oQXC;S9x?C#;asrELH$XIUG4|nx^
zS)3i%E*MI?w%Y%nlnf0aoz<mDSD*P#OU+dZ=axm)*9ezzDqkA|{r#d~G}d(ol(m`8
z-qcmCRetQ;sdhbFiv!(0f&}_E*|WC4TxqOR%!rHF*H?E>A%XYf$CL9<p706WG7V!r
zoMlRryJyzj0<<gQJZH)GFFSrXDNw*dSiinGrO$}q%NrgZkXvhNXh13UoXT%)Z4HSV
zY}a{(-zZrRj%d~Ut~T{QdWk={{_$5+(EO08gD>4-4*X#RV_$=J-S)pDs9!KrD<^53
z44PX2kG@i1-DTD+cbboHK&4|KE&GhnX>U5s=TrQAe4iwC;F3MeAcwCS%q1|hOfF;R
zk7uye4%kkNC%txJAjrM{bes5uQVQRLp54z<u;t`qvh)B_ABTABuT(yD2uO950xgJ2
zRzVcLTnCD3FGFEuRng*q@O~C_A5XOTAV}e^V5T8oTwF}`JIWjq;5O%zF_i~6L9pT4
zR9F6m<!U?epRKJVFHl?9@{fE?I%6e}+zO-x3CR5so@aenunwi=kX7}A=(H<VxHM7a
zu$f#$J&MCCc6O_;-1lF{BH8)N9<+IK1$82!-P4$Awb_Y7xF-~2sIUK3d>ZUBj)-1I
zkUwJ4Of4mwV|-yHiuI%DT}}PRcq^cugE=y>C8Ex<_KJg>+dCi(r`<7)20L&C{2H7y
zFz{a)(&1xrxB!p+hu#?ozEG@UBX3|}Bf`Q?3yM6(QRs@lPcGL!3|<zuPILoidU6?T
zC47Y-yfZdNU>>}+|J3;qX+fV6X=J&g7nyPeqj}&ENg0qp1RGdazU}z<IHT9csp9A<
zLF8%z_k~3%J|4gqv3yo?!)%F#2I}I9ekXBOWUoUxcnAYtW1f<S4=?qdWQ@{0!A^@k
z(Z<F`8m$pthW-1<X0}+3kNg&Xs-MVM_PZTE2V-uN4T7C`KRVa~r3NF4xd>2ikgK4z
zCDG8((1-XY9fxNvb2v><Zq2nQ8<PC&CH9*GOjJ9	~`6J7pLNqNY$P&m+cFSixWQ
zs_n{a-C~C>7+Kv?o<8^@3yGZQf2zz3CnZ;!VR&7UG!Tl>x@P{@Q&jEBaE1r=N;ziC
zUKOBOa;8@%44csy5{6gxYli2u%KzHmt#aO2o!3z@|8$$4PLyVLC`5RRs9wNZbS8+l
zxJ-wj)e~5(_q^lc)z-cc`IAbdr9Vh=_b8N;=bxJ&xv1JI!j>ZwlgoT7b9V46L05b$
zk8QhTSM~v=2Z8E=sfEMdEr*_vBMDK7g(F~m_SQ}Hh5n}zE}Y@J#o!-~?7G`F;e!r_
z&njWd$)u3fbr&C%7sJyq&xK<+s(#zw4<O7{UZqr?FH3(BX>s~QmVJQgeSKE0L+Wlt
zRwS~g$u1XRtXlzz>m}dicJ3LPdzP(a3*3CI)tps1jQ%~rDw4y+g)Vjk^GX6Tr1Khu
zt~xky-$5~n94_&7ngg^HYv|8MrVPebJ;58@_;fe|aXJ-VNCJ^?>XXHQ(9p16T~n)W
z+Pxo`F<tt_?;VFA>0nxz|3XWayxJAx+Sw<VQRO1=;hGwNn`mZhPDNutFx-E?%KTt6
zBZgh^nn8+5NC24`4C3s2f3*X&Lu^wQ5e$oR0oqTsVz!|eKZLSf;>~$O{!uW<rexnF
zXYJE{Q0IR@XLo`%40t{}aqK(rsT6|?kyoFQ3dA_Ton}Zd5{!1y%J87sF?|2X@e&%k
z-h1iBRpUurp$x|g*iW08^<%iv>F<eqDX|3;1Q2Ptbs~Fp5j+S+*1<i5Q*BED`%L+e
ze`9%7w=hqe?@M$z))=)KcS@Tg8@LxF*l5T@LP8)|#ikHqk65<DYX>m1p&@TL_*0rm
zAN_=8DjE|~i14A+KvL?Jwr0PtVCMj`k;{MU2t#mqIBlQ>*39S5QFqHOVSt635#`16
z4?>7GqzQv_Ich}H&u<HISox6#w;MNzz3PS_Lom;NRV)8S2x{=P#FNjtaG!XvvnSGg
z>WntcPJH_GVA?i}JF>FuA$7Q%A!Wszp2$F#6B~MmJ{=1f^^|s!J%yS7Q)Ivpg@yzx
z(l+r}gBHhMhptQDJ%!+T)D@i>radU^K2!AxtH5_!(wk+FuGRppKav7~YlU$Vc}`cv
zS@X8lyu6;JH2m^{`W(U(h-HZp9nUSE;vNGB2rvn-k{kx~(<(K17>Tqp3h6<p{SDF^
zP9G)4b4yRE;jox+gR~EK(J!|TSlEfKp8f5E0i;3td2R;Ohd34t3=NS1XStxBkxIY}
z{3WM|Z|v<&X4I2X>;QdqEp9s0VU2}V5!CkJU_zo3)3`iXR)sTJkXb-T$R;jbH|=qq
zB>?vcJf|P|j=c&9(I<oZ0^-~|WSID7L?tF_1y+J$d$IduTWn(YURWX*3=uMb%ZF`O
z)WnfoBfPKhzr`LCi)%U;Ehv4}4!tZy%6F>Fu?g>=B}M=NeUk65g?GQR5xmy%*WAHk
zo^kOiHbvK0I3g!4_wo?l=<^G4ZHk}qUG?{nl9DG8p}9U(y9>EaaCc$!Q*gWhcqqtz
zj6&{KG?fiDPOpAs{K_vvU;Vz(dE1|)@-yd451KmTsqN(}ZI{So?v8p~{zUTNjtpHZ
z8AF=CpSsR>3_&r2;qc#>@3QV(iR!6`c*AVX>`VN~KNJe9r&kt`k6OO)S-`Ax4_%Ll
zSCsG;`K<fkxyJdp?5#y^j}5oHB+AB8r>Y6!{MT>kmktoMZSU~W@<d_Qc$;mmj@reO
z&@!#4!nvViw~$jrOGxmiK%=_;6S~pZ79VB)C&VZdni}vlqNh9L-F^W_y61`wnhF#p
z>qZmQE+h9Wo)W=Tn9;UeICl7sX|_M86T-zKk<TyQaB~wxe6i_~z9QcG)GC(W739Ht
zcsT>P>y^mdIqG9L34}1^#k-sv1H`jgGPk*^YW_G{K8NmtuvMcTOoRb4X{otm&va#A
z*UMziw52rvw$3aKICH&lykZ9G$@KGC&MOXvL*cZ;qwY$KU`r9zw4b8%iI+uAyfmQR
z7)obr2Alcqe6OspHGlcTh^>_9JtyDEi?9k<?K-Q2p*|pD*bSjtti5*UU4G7`ZyD23
z`ux|fUhS^%--aZ~!UB|6MB7c-!{qi_7ZM1yV=Yz}q1SRx!t@i?WmtUA2^HU~AI4-C
z7N6#3O?Lq-N=;3Ptkh<`YDCSar-%F!4pw>zuyKBu2Gu$6I5GExKhc~bb8Gs!l*`NX
zbZW@wFI~QT_yWQ)3LLr=b@VS@?EYRQ6=;ET8#`4T1xAACRgj$4`{4#>-dhhGu#lA!
zYALOB1;p3#KDE5^YuN4QLM&`F0#YUt5)x)+99Pl~Jy9QTiZj&JRg{<WTCjrnp+-dg
zb!6!E+;c#I0F`m#S%dNn_EHcaXS_nP7bK-$n6<DOhGYZ6@JrTt4`1?OX>DYLnGOg%
zkkg=vf|40zEGtp0umqX0lGk{vNza%8$>;YUTY4)&U)}-mD&;*Q*Uc)%_TVKdx>h?t
zitOJ%s~?7NRrdon+aMPHb;!iv-A=qV^MQtE;x73_{6ORa9vLw!q@<)_0#lfOxM~#!
zQJNYoRDi{|sgGqkixd4NnMl*2JQ$#AHynNkfTKNB1*V|)&6_EG-}ZBG#Z^~VPdxzL
z(5S#+|Hay893gezT3eBe259eJbn#!sn}+9qWL;|f7_Ab)F+Dj6xtQ3RVhahP9Mv<?
zYtisT=BRTsplfxYS12<jvU2y&6eK6tSmr*ACt!DvP7B(kk#}kt=i0=Jv!;@LNS`iE
zTbW$~MgYkuTmOyM&CdqK5rzi{eNKe5%*-QE15*odSlK4}7PQ_I7HlZ95DZ3}VZ;z%
zzp-U7qE;#5IdDRWk+SX}y@gKG$bTH&p&c?vcc^r79)Gg>*Vg6qPMOTP0Cb(@+nck*
z9QHxy)p(D-wBrf$Mdcz}e}(Xwq65o|sn}S6wSIl3rAGY7<u>iWeSd~N?Q!4`e53q_
z@`H*_Mw3e*K_+u`lNpgZ_^SM2JP+IIp=nv~5|;_ZFZ^{sd3rqQ%gbpcO~}I76?*T}
zoauFI`>(d8pr{BWO~$>4e`q5rS&}%3|E9!sI^}ap?7-OS)45DMUxpQb_p<!GeynIw
z-DDfN+tvG&6OZL#ZbSTfbadEeBd4H#_==O$HdOLDFKTZHxPI6AZS{XzfT^~zk76gy
zzYV8^T<3h;Qlr;>kl`Rh81m~g!L<eWV$9y0*bdo3+pV0upOy6k9`yS9`f<ZSr~bM?
z36ng6nb93#!P6~#H&urIA5Z52j`jby{VS0&OI8vkSxHt_MuVcCk&z^utYl?plo^sF
z$<8RrCZV!PvMLGLgoNyDp7Zj5o~PqJ?&H3H|KGoIUElBL^B(8<I`Q4=mpa~fyJx?G
zItq{!D-R?4JXg`ed5J!$kYUC&5iRf+T+8PViAflTDvf=_`mZ17PbSmw+oCOcotBRW
zD$Cgr0R#oA3oLO*%gPXT&Z&3*EF8M|T71XKn#`IZ4C(JrLZ3cK0U1}@_wOLwRa$4~
zQMYKaZ=_X3Is0+HkVSKZ*@|gtvpG&-c^TeqA2&b%-~NIuD))OQ2=gpqA2EGL1`g|K
z?4e*r%WQ}3nl2b4fTXydA@`t{<3PQC5miywLgvw0-0kI=K~Paq#~2vMI%nd^g3z0Q
z#Zm40dQB)h8&I!CMuck#<6TJwO60Oh6{xboY$kKtt~w;4o%bj!FDdCn;Fzw~cIx2l
ziYM^u91*Y3HN1Lt|A8;8KM0cs_E4DOLSW6yhrYpeL%85WQa)*d@*GqHeL9k18{&)4
z9KM{Pbs;tX?b{z_!uzNzEk#*E>!hLW8|R#;9d^j=xPI-L(x@GQ|5|~+)@T7YWUd(b
z;*^G$ync9}U;c*=(i)CO6?jcXYYpbo;;_zQrKz8pu~$<IZ@0!W`&Tv8o}YREX#nMY
z+{wdw8T(j-X&^!Kn|m9TO~lPNT{igr%($A+$WiU52?B5u@D?6=xUKLyyCvd%g$7N#
zM*;@-8quy>0v5<Q#j!nU%q1pm#EjHT$c|@L)^SeLwWw4S7oy=(w4jyDhfS+Ux7~VC
zIeru^-#$U^BRMsL_%F~?<Qqrf5oBeJ7ajLzGd-x0cw{L^`SK05lM!18JVFBphHB*a
z3)FOif^enXcTAP%z(Ih;-U(jbBkH1GksZlUTRfTiEM(<XdX@R^>z6s<gSb6UH@a+A
z$xtaF@v>%YUIuzgcato`s5=3XV(Y^M&T}8;HZ)JA`|Vt=`KOumcj|&*2qoWP2BdyH
zFf4lzWI(Pk7@V7&Ohs^`e;s1KNM|D#;$Zjs`SVH}F?Pf`p~m555jT7gPy5jIecqxB
z)K6$lQ7O2C5r?@b98SoD!kzHendh=<U)q^~YcJfgcXHoy`*T7*a^~U}tGXM_mlOJ=
z6H*+8kJ>L+3O4EO_jZ-R|NJdsy*XONem3b)gQ(cw06kwvnKTYyWENa{RxWaCSl+yO
zz0Bj(T`fLH4^Bikl9Q7wxdb}JvdVeKTk_xxM~T~GiG@JR?7^Ys-(4t##LH)?^Y^xT
z?=Q|)DB4k{+ayrKbdprT*igI>sn0|V3=)Esl^6c~!}I<d@X@r9t;G(*q}{@X`p$pU
z4#%0XsM!SE4X3_U8h&$rp!NM_(^^0Ap()i5t{?D1DKQw*(9k>#KZvUQMYI8?!<t1q
ze70mM+PBsfd22>O^VT?b)u(VoSVAY%b?~w5P}K3O5K@&H7#bLWidNvgv5En~FDIJQ
z;wZ>L$HPRspsVz%gjG#<!mF&T4+FlGodIe0o)|NmBw~8U9EiCGidr~T@ZzE!8+PFE
zSJdG9<?LZ*=FjYa%k+^xS_ouSD0%PHG<>X?@#I445l7LiCR4sB6b^h*)<CvE>_x8-
z0FSDKO>s9$*lmKy>hob0Sm<E4*C~NX1XW-BC1@$HUF%XV;NBv^A$I>Ra=VVjJppM4
zC*#Qc3Stvm1YXh&%`RhuzT-C_#a}TS1-ylQRJ0GNg$Rm{Z+6qm*3P|Fc;SVH*E7@Y
z62p@PpgwdPP_|6DL^{cRmBeZnBPgUo0VEC>Ybh8@2uB=iim7?$+cou1DaXhxD@2(r
zA_W7H0$s2s9KVU^bJAgdh711s_5aLhg9DGm31QO&EFVV%CY=awOiGdiG4I<340?)o
zd;3oQc{E37^%)-^=Db{y`)UM->fj~ml%hy#ZB5j~fkv-@`}#7^FCyObx{uEm4geew
zHP`V`!)?yX&(9hBBz|71mht$Q3fI4Xlh$S}IBFwy%x*8d@Hhf;yq(jHpaU~ud=1=@
zN_2VoBK^ptc_oyz7<VIFQ4Bu;mR)5#BNS_Gi#6%d;K-+Zp0u0EI-NwilA@#@#QM{`
z5C<hjDTTK}kkE_vayKbj3Sc&%fe)%d0p>4+A@H(?=NHY`BWdT(hiH6yk&4D*2PPu8
zCY5vJ>1l%05~bY-Dt83coNappqxD=eD%QzQOnY|kKmsL{P0C#0k6j$x@ozfYJO5%5
zeJ&hUa7Ae=#1FUa!c=7784b#8M1_Z`apvmyuj{E)(pEf-JldJZm~?Xoz<S~`6s`o5
zBjxr--d)60LCvP_rJtJ%xA!au4fWlNgXOscA#E4!>dt+S9tv<ZF48TA2j6GQ8_CBk
zjq0Zq5_xI{)>@5w$p073@h&A^b!>LHUTGoEL*TXJl_z|Zv-Ju0k5vs*en_UeD^C$e
z3sK9+wAzDfdL@evP76CLKTEm|s%jmq9J_Zh`EuBQOuj8fKJ1UJCZ!+N_tkFMR!<ij
z*@=G>6)0aGA_4*kHG-(4KYY;3(4s4{jZjQ$8%G>pLnL=Y4WiBjbn+@OAd_YTF@<f4
zmHoW!yK%12I>)6khsB|`r<(MP9fQxvdf(O}$6JM%6*93{u+JTkJ7C^4tfXQ;4F)l(
z3^il}o%MQOV8a{(VP;I<a=Px%1sltnb0V8>$qyYOCqf0omE>gcsMN<Se+~BrCEVNL
z(5Ui(#=-f^IrX7;a3yv?Qs{ggQyDG3`MEj8JHl4tvf(AYe=#_4X3Mc@D66KtW8Z`P
z%BQihZCth3LXFd5&4_iYbrGV<kz$FUh_*L+0w+(LaDLyL7Kvath#*q>hL_fW6X<ls
zz2P_*zy!3&kG%`Zd&$@e&f_=PyBi!MA0HnHR*)f)?FUxxo1c%yMUz^^!7vgQhDeTq
zqK;fR925||5GdV{%6aa{<L8(x;My1IZ@35!0^opXb<C6>IlqN~8%r3@{o>A<h@^ls
z2OFK?+54Hbs4-hgAAc5XLJk3J|Bk#{X6cd$=|xmc(=jIE`bNV1;f2%;)DZaZ!~bCh
zL2cv6H|rww@V`lMdJ0oKRpk7{^9*Z@|Gtecq^S#PNMbjdc8WVe6*<colIrM4I8#9?
z+AuPQQXc9HEQ_NqfqSlK5J10YW>YYxV}f{#_R3*-vmGjv)LQ>g99R7N-oEbc)55~Y
z@&VB9lhQX)z#}kUB(750M6b^s8EaCtg>b$|S7q|^C#NSJ6Gh!q-~_<Vg5fPk1e7R4
z>JYwIywbbq0yZD$r@Y0FMzF-bLz|`{0l)9)FMQJA!}9u}n-OkH)y}*&-AXGu0tM~<
zV1HPe8b>C-UxjeK=62U@$FW^t=&4{k?4o6hd`B2xyfduCpp%9}#_R=#If_j9MobQt
zVB$@*evYrL2-dN^C5SB^eJl#N6v%al_Yy;CmC2DOLyTl}{Iz@EAAWxRcyT)eXl)^d
z!grpN!*vil$>iiC9KA|^>1qVAc(<Vbv^8wxRngh+`EP<qZ?%|mdbs6OLc&a5?*uLv
zAj#N-E<PB#eIk+?DwgWjtzA3VX?qA!REIW7#?_s|?xxHPxjJlE%*2%1uNo~@GTi0%
zr`k!V&`r9&FGnY|;=@iuL7c&(v4WZOj7<MrhDB~CH~+a}!n|&C)Ig4uK)28K!){j}
zw&FL&<NV7<^CS)sOxg6_^Vc8glMI%d@>Na0vpg6Ct0s0`FePM}_C^0243L4+eXE#Z
zsf;9U?R$&ix`37@OUCtynNedmUqscx92Ij3!)g>Py`J;USnUc~m2xO$qKL%63UMkD
zFw6d1+raW*;Q+q3$Og{6yHQV~rAJDNa?d46Sq;lrz<COE_z8-kdYp8ni$AUhc#bX=
zpM7#X`c(vm3h>zN=T=3Rb3I!d7p->Y4x68E#+PS@=>t-06u;`|%(qrNKTBS|y0>Qs
z;rD^M_W!uH9H^ycrsNLCd~DrhzvRU8Bc&~*@2eB=@Bq=sRbQ{H!k{C$bok+E+_!e+
zvE2iCI-wWEj_#!*(%B*l1na}ueK6oi^x0g2&t|gsy(@9tvNR2Zq)ou^dA^Xn7SoV@
zUF&Tcp-hhXraG`^D90i~arn65%ICB_Y$>rM&tJd3l&!5vui$hK)pxTwU?h0BapBOH
zeX?01W70dr#setW6<H+DK<VK0{qdVd(QCAh@;JjgIuN6xbOJ~qgwr^Bc*-W3HDgml
zMgsk5$c0qZ^g@7kCl;|K*5b49u166EpRQFG*Enr>J;Xf7RwOTJ9E$_}8_ysC`&{f4
z&62yPWF3a!--Q@ILH8ERfdk{y)8uDrQwgGCVg)AO*<s9`|8d=JpTdNdc?Bs+70wn|
z$x06eVC?KS+=c*OXodkTg{swT3~L??qImK4e*66S5=be?i806p{eh3q8l&*)H8c7L
zW^A2@@E$<I^g?6Yu~hLHrdI!x?~8^z-#hbMJ2O~~K{95NPF;fa@6^<>LrG>d<siDk
zWHM;KH{c-70O9Fcn<m?0=tndF!?FPv06z`-2YD}{1XVRU0_T7CU*b^1kpxK!Hn7Ib
z8fUPSwk^Jc>B+<*-cpobbio=K^w(979#2x*Efm@C=$e4b5e4<g>NK<ipg^^?4KI2y
zP>`vY3E&h<HHD)vK{Xn8!qca7ZXY1|vtDZcb)D;Kx^^ahvzr2{LmwwKV;gcDA76UW
zIYf@-1SaWinPzwm@EZyV;oiXujvPYXGdR1D*@VP;pJzfDRyp?-FO5>=e7Xi*0Q#`Y
zmjzFin=qSudVYXC5yPqP`*2F?A}0RkO)%}StJcki*%`>ET3kbufBz;fguz^up|xt<
z6Cf9;?3`#C{YvZgfz=uZ&$$5#^x_uDrKKwvy8mXO`8$3=zac|CN|B^>vhq;tVFf?6
z!KwYry_s(2<UMBz%R>PrgB%1Nt>Mp%Jx)S7Hg&64+}`iM$Mbik+KMdOX0x1KRj%Ai
zlCAshaYkI$XgM5CRy*7e*j<;OOWuEnCfAv8CXqDPn?1?Um+pkqrDtI!9zt%?lN0xP
zDHG_JwBq01PG|3sdtgMLwAM3*eLZZ4(DFi3nx+Al*Q>^Z#ifHZm|4Ld)IIK$WBEz{
zRVojuX=hsi`1)8D%a#9mo%tizu>bpaR2QG-<9K*?KDUZ>dkr^MK#g(0Ie0z5R%lpW
z$0kxK0J0+J1H$Xi>%MB~V5*<JH{($Tom#6ibfqxT5j!`cQ--*Lj%@g}*DQmkIEU;m
zm7hNMOnt)g#OY3N)}w4%2WO&tA$U%E)CJxZyo~8>lHk^3$0D$Ix96=xeFx?5oWyX)
zqdu>KNzJyVRjhiP9Q$`cv52m2KT1B;aTjxD8%f_dwt$nq_}rc@k<s<;n3TGQ=kx7b
z5lb$FmDzhrFE^-pqXek9O-5S!(a4RS&1ZjusKEQl0-KR{z&B5Un~bsCA8G!ai&yrY
z6O!nu!b~6NxX#Y|ZHCDf&uoo4VsI)!7mdyutj)>+`#bDE#EzUiPDcM=Fz}+_Z(^Pn
zTDF!q=K%+@K7yJ8H$7^#VydCEx^iRuKOoLWHlXs=;zN1^^;c$23ve~D+fixj>I#Wx
zQcwp|5}@r`ZhWwqx=gxrK`t&WGB-cpuz5cD3knj91fXHX{&jE$BOT}*%%qk*y)ist
zVF{@-VF@#T-84`Uh)a#`_7hl6v<Dm@{e#{)IobGiI+IEpKq#o}-QC?~lW6Z=dLd=e
zW*7UiAMTyU2Vy=h>LXYJ?k7FX6DaV=>x0e$i=nMe7jXWA9lwm27?#~=&sEd0kNCIZ
ziPUxLB4nF>>#KU_t8$18;5(cY*a1oCVoL-t09YyQ*6Fk<inPFiI&(xErq#rBQIrsD
z<OqCAuPygnBP;`W=P(2@W(IXnM~6AQUg=(t4awmIRTy3XPtthRW?h7%2fy%_2BOwq
z+|AHNkS!dIB21hLsb774ebF*tIZzB9N@hEByV?~3Y~h7$s=p4Xw22ZS^LfvSzwXLg
zrv0rm&~3R0%m0yi<4Gw_QV#DFQ57%~u%C$(X5Oa`5Ga~IvsVw>%M<tf8dY|tKYj9}
zdZfV9Csb%Q7ODvzW!~Fdgpsi^Ozh#}%No{k6*774(HFJx>CiKJ!-%evunTcg!?fe>
zUTTnQaTPKf9OY9}Q~2NbI{6u~B}8_6WJB%0Cy`!K35aY~`d;WR&6dGqk%Tz2Ysg-m
znVDHB%keqcRiPN^U0-W5>wdLkU|DVOL9P&{SNu>Hfk75b^k`|GJ5u+XRKtp>Lx+)R
z{ZNDeb7uQ$@$^vjD(hP5pQ|Y04a>u#ZaaF$8VfGDDEr(0_AVjmY$JP5d&uiIOUwtZ
zm5b|xaSm5*KHSi|Bj=JtP#Ap2pi@EDzRRtq(}jMif+C$AwG@&2To5Vo>ldij>)vuP
zw|#)qO!S;<n9v?5Uo5rzw7u!UWwkM7=Mz_^$Il3?P4Z<$(JbDOcasH;_#yC9L3xHa
z#<OR4SSbOE0YNL-_%+q^HfT3Mq(?`M=%!CziVx>^SOv$v`v3|B=KX1E74nottYYH6
z>I5B_N5GKG)*M>)`&~FZp*G;Z_~w=Z31{1<s{_dgBU18<5BhY4>CoYFhDeHF>P`|w
zK3h`}|1XYzU@-K**$&q;v&(74G-ni!%rWG>8`wiaY{ULcY>Cp|F(?1KDMCbhUu5@M
zI9ei392Aa)VXlGIhKgM6`fJuCT|FI7CODx$1FaK~wjZd3LccQg*?ZZb>p#x$5C~F!
zV|^dh49*CLVKy_1_+zOtO$^d7U6NE#CmQ|^9V)}g2EoAmNXe#%Wd>PNP|Z#^kJBH$
zKDD-P)t&TC{`%|jORprQlYg*u!ESNHQJC=psSejI4LqirnuRwz1m=d2;DSQ|-vn2w
z?4zw?gSBZgpjsEiH@EOaeFoYi^{d39jcNX~cI!hdEGEarYsXTvvTV4%-A6SA4GzNH
zKxab1kG>uh*XB_Kh5I-hfchQrV3cRho~;5Qx1k!P4CMFNNVa<aE7Yv7fQv^Q<-huq
zbIH(=(<@{HH{bK!4?s4wr;-h8UVNCK4J+4eE7)3&$|g-ioRT&tkJ=*sv}+DLs?6p_
zM$ZciMG{o8IePh$Yg@43@Yn)~MF>GSJvh5S0>_Z<fl2@qBb-$w_8ywY(5pHw&lnTe
zw2!-|K91)<LPC>u5ehuzN6}GHr^LnaD$dS2AVC2Pqy%5`=i7PcNF&s_UVvb8oa0J$
z!IM2Q!R`gUN~ZbD8DzUicHoS@FvFc7nXhqFp$Y~Cdx_5A_4qu^8_AdNpUA%9!x!Cn
zibX}5&9zidUO5+O=T2f!v;z?5c)R6ZJW1o&aYKx*qfcBHD^tm89qZ0FC9e_0&rj@5
z05$LX@#8}I57$2TG1iC2!Ad$?9KUx@trDK{BL{pr^{+ut+*NP`b1VXi;ei1oM2K}|
z>j{X*HRCOie36b1^`%POw{g*lrgwLiY)y7v_<Ley8fK3BHz%7UPrmpZP7ej+W~}18
z%$>K6rJk`|au3zSphELAy#P@jlm^pkKC2L6lOq-wseRScUek9ldG)UF0oefpII2K0
zN=8;mN3)6W+nwHo<te$D_g5WOIHb#u)TehpG}-V&0WY!jgp4Uv4|@0g$(nV$FfCd2
zp*@@9kReVx9C*<&h!QsLerPOO|NQnwf?)r~UstB)y2AdZvg#VUf#{PvDsL6{zQyin
zawji+$To0C@y$E?L9Df&G?*D68^lezMF2hu;y$n#=}~w^(yiXXrMUQROu~>A<J#hi
zjVZ*LA*Tn(2WxBH3U4I68mbkz$tLAyWHgxMH|18J%sqczl8`3S`TgGeEh?X1T0Q@k
zvr8tfk*4x|9r}4g@Zi2+(|REr*#}g9b0lxJR=*DhvX%@*r-$f}u<@(iySU>_IzxiC
zzloq_o)hB}VXYq0*yPT=k#%YHfnuIkD^~CB_j^+Kbce1@S8QQt`>$dshd2j}Ki<F6
z;z~@9Y89xAG;Ew5*KZwCd!Gl(D^zA-{K;0U|GMp5-}i3K-&pVX(=bu-;~sT5s6x_n
zpN@`Y)zv@cA#OWgrV@Gj!}Z~6y3ICXL}iL*Sgzvbs`5u_8$5S{AsOO|G#gA~0!<y@
z_py<Yh(9f&Yv_M51k>D4+I8)SNsKmv7q7I}j?Duq_R~gej)k9|0_Ip1uC|3$Zm6Nq
z3f2lHU;YhQF2tt<m{j%k0n^xwcGoK-`VEGM37tK7fPp^1wgKlu?(0}R6AXIsg^<Gt
ztaw`qiUvT=Bw3|ml!@DM&5BtYtS^bGdKMjGiG?ETasj2j*&bfkh#e2@B|LwBIbxzp
z6mfn3{%dIsrUZzkV0TC5h+3O_<TvysP|tj#KMk^%1T2k6bc>09&^m??Qre)JZSNd@
zlt5#gbP#i46e93Ff|={&Njo?_Ye(Z>TBR_7=*vYWf{hIXrde5-Dql?fincL`Xo^hH
z$mp?k{bw(IkVz%me;=lgpp%f2802;g&+hHWnPgD3pi<A5)vV%2&jUg8{e_|LYP=ys
z^D8!C$<SwE;=K(8adL5iA}#6q>udas=^7bIi`DbKNN9TJG`>J>z)hS|&ZTMboxpIl
zxeA3yMs6;?al49*f8;Vl$`o#qqmf)E0BZYn^W9L$aY%q6;sFz81!X}@^C&i6<CN+_
zwCrrGtXZ#La|qB~e8`IB^0POpK<XXOp9wx<aU;SW;o9+q+yeDJqQp0Rcqd$L2tANs
zg+WR3hJgTRHwf?Cn58a}j{es4jEQoZz$5JjC8g);#r-9dK7xP!wET7Gq>c$(-yO-;
zw^xk)Lee36vcRfu*Ou4mdS<CKtk!2M9A-bTUK}qrUFqe)Yz3}hOf#XQiD)v&H&MV>
z_HU;KN5rqmKZ`4#K&fZye45-kweY$j$(&iw>EyeMgfrRNa(J-Q9-jNm`AexrOb<L;
zeuEFpXP~VK-p}1>;eP&n4a|lGu3)OuvP$4!x|*$f%1f_$_TKUcf^}=yHy`!59AVE`
zs=159iD;0$kUERl#Z}l-WGX05_L9wxdrkGGmMo0j=OV<fHtUJAhxd5KW;Q1ZtaqHh
z&xu}u<oBVPpGh2v{#p-oNbEM2wbXCXC1_`@2qAY-g7wFz*|qBq8#VW9XMZ=BIDWQF
ztqX{flMfkPTv)KbHHr(L{Wj!=;E7@=GECvQCTvy_BU`vrZk^IidehE({@{<UiC+zo
zKo6;9hUBd=rAzJNa_HI`_(CXOX|{X&c9dm9_8@V%9fpPHRYR{RuQm(-YVn}s&KHS!
zP-SF^bO>wf*i{ahB3A5yvSCFH46vk7*%?8Fg?nV50&fVORRph5S>;FUyf<~?nC_W0
z1z-WU10g#9JDe~u8CV;JAbA$F2*mV_ZLLw%LK(?rkQE~{03%4>`i)8pLgvCa#}5Y6
z#IbY=EIF{oWu~MIrT+ECOMd;W%?|L_@tB`ye4McgHV))$s&o&{nau&%fe0%5EFXOc
z=&rXVT6Or}V%Ri(Xq<W%(NHKcYmK!L_C^meiN)0%R8u7Y`wWf^?wac;yRckAMjc*D
z=z!k5S-@JVRswq!;(e|Wb^qmfB)1wa<$`-E&<bESWFdSAFnUN<F<hj04ik!r3AiZm
z2cjv(+_1PC!LwL#7jk>UBnYVzhAlU^3D|aWtHwXmormxpRkWoj4K+39k-_rce*R<$
zmdD54l@~NQm=z@mexrn_s9AA$>#rG6-utmfEM8AMvRXs^QKSnhiCVk_ru(fY2AcvO
zc2VB`5hA-6@S>t3XO{o80*zh%_DG_vn3{lz7mhVtMgNRxWMni?hRN4){&@;6?Tg2v
zLz?tA1epPsK`goQKURtWA`n3~$!GjUbclQkWUoYv=<6X92xAWKm8f7^%;#96IcZq#
z`Py5eK7B{aPU1^_=AHQ)U9$k+>i?$&n2OQeg~(0BhI}~UX}ss9`9T-wp~drryb&3R
z4W4gjjszUPi*ezES|tM^{9MS#pDS+T0&h+wXHfk2XEy4}qusN%OaywK+4+-akJNQ1
z{4O%x_{=&c_^Xm~8uoo+)FI|;@6quS+u#@f5vMPzpYNL0OLej1slo=UC~UFI!D`-0
zQ-a{V#Ah&ZCYbTUi3|F(KY!|ed#v2{1`=kL+N?FqzOdFEnRUZ*&dBI)f-GV(pNZa6
z9pZ#P)3FrutctAS)yRAO(>}i<E_yGdvJ+!4;Edh0hrw%m3(e*^Q+0a!L*zvvY-TUo
zR)y!*-I~BmH9^~nwzC*9y3MCLAO@!fu#a{tY>4-));+oi38_^iiS5r&zOhfN&s}$s
z^31gz3w#iIZ@73mpCYU;MKUwjGd(pr%g}ewSI+mpxZCmbGCtVO5-elA=WgnJC4^Kb
z3OFs8s!#D2%J{a2Ez(vqR1$|5HPqtqtq1Fg1IvAg>T5EeM*>knaa@-JRWQBYj>)Mi
zHG|6Ac77?Z4%(Is`ceuQb;v;_23mWLP1T=|J*S<PF|mOlAUS!EwIxWD3GqH<cb3e#
z&mvb4V*(`fYUk*cB2*#us~gwWiGLPAixRh^R<^d7hh^YbRu**8XpVX4%_sI3q-pRL
zph-r__b#~MBKqKsm`_v%E!3D&dP#E2!H^GCV!Ji0puM&h%z;nbKT)0_ZY$gx%)X7y
zgPMh4aYUUC&qArG7>Ny}`LVqyL@;iUN&q9nAUAs1)6DSYHk}7B06DoNqCnlu7K4br
z^Wm^~pmXKCA<OZQP3F?vK9spf$<b+}sf8_XbA3f~F#)?@rI5>9kq}>oq##u{p|Dz9
zhErcyB{n$a6|%kHruA+jv)|s1Y_?$)3?M3YFxa2kBY%vVmUh2G1y+VA0-&m<+BM~J
z=kVSVY>$zk1o)N%S)ADtwjU7N<8RzJ!qI>xz^JebwLyAE{Z3pZsCEDpM7q!}KP*Z(
zBH*)w?>D+pg-dhWFL!HOv4Yq?Q59@8!3%)-T|(mb{0dBe_!sb>!mwzi%M}USS&HZ<
zL8=HIPHG^jts!nl3s_#>XCnp;r)&~CO;DjlH8d5_%`-DIA2<Lt7Ua(wk1z2vGBGgV
zQZFbFhS)M#UdLGGTUFC)q{>KEt7}1|QdAs#juH}`y}c0FBO@H5H{lr0&D_aiNiRF<
zd;SkGG~j0}lsx|9&tz6yQm`_Y2-Y|eik-i0|0o~^6El^hRs_@HYh@0cUE9D^R+Bv4
zoJ2t#^A!L9R@+8r-89?jftds0#oG$q_u;+Bq(mf(_LVCMi>{~c$N@Qoe@wJOy+det
zk#1pvE2#UzF(}8o5@wSg{1#ZtG4D432B?gNw4R$Ghw!n=K^8>~QQvsymb#SRG3WI5
z%6Av-8;9>#^wT=^_{vRJpU)j`D9$U~pU+7Uteg~HUwr7Z%C_S<4}aD@@dv3jdnp}i
z6rPz@-##rgRCOgZIZ-(1UlR>0>lyIzKDd|es&&K!7cb94_=tf6wKFop-WsKY8@4?=
zT|AbQp8UC-wKKe0>7e(5^k&I^Pd2s+1_BK&=u+)JemvgTyHijsMu7v)r}WD_;NwKR
z+6Cb&=;Pvx`MO$KSghO^ZKEpMEkXDIg*l+Fo{Q~QaXVt0h_wg=PfJ8%DI8pCvMZb_
z>FnKium6Z&y|Qmk{rZDUCet+`C+d=i>~cg|HwX3K4U@kKV@fmYry&9WVeet%*Z7;u
zugmFM%fi0y(JLd(=foIcu6B9iP|0&TpFXHoz8rXCz9DJG+_OZn`DWq?qqY~Xw<k4$
z|JBDm$5lJ?9BAKN9NaTh!qED+c4><=njO<t`0$4$Ip>J4%jRMeAb(Z9WMHrVW#3cQ
z8+`S2-Z1k=F7&ww>marplTpMvbf`A?*rJZq@ufbg>`v#QCu?<*@ybZ4nRUZOX<w>0
zwyyf0!BLC_wgH@we*R)NOTG+RB@QKUJ0Z)N_(Fp)A(fvn>mG?znzVvLQ*7&TSv>Q9
zkCv`rEUtaOei)mGSNlkKcz9mr=3>cLOP(ly2)(%F+@mMjAnwlgJ!%}m=mIYTBO~ri
zMmX@;*Kh+vw<;|iugFO}f#yB|cv03jNx}^1DCTci6(ci&CJ1OD7*8&}h)oXuM9#q&
z3Rdb~OiOPePs<gfgG%#4Vs=5H2Rt*FYyNur*sKlhL~GUWZcM*0M2dZSD@GZA=*JP7
z{~a_pFssL^<l86-Tz}B+MK``^x5k`*n?el?A5>4Yw2_i&h!|Y-z~j?4&JVYbcPOXY
zJd|kfl($9K$(VrOQ1Ri?&3+3N(YVttzq5hHIG5mXi77zJ2Yy<<C<MYnRt_+ckkAf1
zy*RKnQjQucflw{Y#%=r!GkA!a-J}gfS#BH*{B#OJe-IPFkcE8W-9tqo#8N6}`vWbc
zrn#q$7;Y0|sRyTlla$KO$LRBro7UKvYUSbabvVNn3%xuQ#oAqo)MF`MU-jCuv#|jJ
zi#p`~UIM1|tz!`RgG6!aQv5p~ZIfB)OVJU$Wg^Y@h{1G<qO!6WI#W_mpcN5if#F&{
zJXY{Fc@})>pu6M76VWH>UOZJq7t>&-sE#uYyMp(4R!T~iS>r8n#BPU2;_p{K3_%7E
zOK+)^Vmp+Y7ybUOn9|&7<@UOU!Vgtnzmo>*mg@Gdb;Vygo|uE%SHt?-Pm6RHv(rG#
z)big#NIe+_2jgZEj-T04E|{{%jG2Jc5_Fw-t++c(Tynmtoj;K1N%@tt{4L|T9smAS
z4nbY?iVp|Z-+i7-*S;M1^D@ph_9u%p%*=(*Sdz1Q&OqO#o#||5mX@1q2Tn6K+pr2c
zIej0j`EPAzfJ=H=3MWXJ>7$UDFDg1BwB)Py&uQ_K;MXKgmj%_@-LY9W`4L{a;JxF?
z7%s<OFibnrXp)ab2R^)-{J(0FXp+%!{Rhuyz+%Y~OON|8*$PqxmiRX*^JZ{8m!}=*
zFEyFdrrS6AWH5Ky_rbsDKY89){%&w<V9>`Cl47-bF#0)Xhii3eUgmx=+8<3dugJF~
z?v7BGxE!F@&|(;DuIcOuZ4TOdzk2lJ!{O!4q`VcuWzS9Y+8E1U6;H_?|L!fIe_x(u
znmXBn{`BemVdjh^bt23Is}^~!@5BMz=1~xY4vN`4J9U%MN-a^`t`9pZw>A}VnD<q6
z+lFTm3(s?-q~O?6j-p5v5}hn^cEoKss*=WI%UEjgIpfgdEo;$OOHqKs7Cbi6oOwbX
z!|qu0(?}3Ifzgo>98wV@Py%@swRrDCyVNzk-o>7Ok5r{CP2nfhLktXGMO7Yi4cb3T
zi^nyM=NGQB26n)89arR?gtiHP_|V<U`j9#q*#KMUw&Ei@D+_m#eBjsZR6xWMhos!k
z_cS&h{C?R#1?Le_Iv3dh=qKRpU%p%xWQMYOtV8`dR(YppInpCk(~+XkHtvM0<vaNh
zX2plX>l>I^YXmVQn;oiSf73T^FM;UFQ!24w<YepQ53$ajBu;wK`t1UqQ<Mc+YKX)b
zF9FR5y$k@t*c~*vW2OM}SaCOk7JEu>L!|fV&5!Tug0e}5P?vu;Ph%cH%cPoakSjOQ
zCVlc`tC=uz!Eg}J1Yr;feOl`njHa0PncWUa!Px;^Sk2&bD=9g-3f#^-^pJGXnLheP
z6Z1(uv%NO2FfGl$L@Vz^9nMKNx02#w3@sp702dU+#ap_MKbi#nE-@>pgK3(UR*Rr7
zqTccV609S3XOP4yBQTpwm?ue*^CfQ(G$_L7p2!$P$|yfQbmtKt&1v@w+B5;@5JKM)
zFDdUnomH1TZ`*@)EFNgiQk$pi>z=tCV8eZK(!xpe&$Q+Nc^VNY{pSzHMy{?)3(<mC
zNQAC06l7;NTZ$$Yo_mZHOP39<2du%1enOY8ofFJ@-_t8e+BGfXs(c@fWo%AH#!7KK
zU3~@9c0rLS6xWPyaU1x3>uU$?P**}{33<@2M=z5f4J8<woIT}qDJwDb;K}M@f%An2
zwmQSV3Y}J;D;=Y}JR->Cr{`NS6(H_^^Xa*$py;Klp>wUwjP2*rNilxEN;~khe&0jW
zMZ7Fmb3d-N9I)_sCPX#=J2ku<A_scmXff0C2Xl1%t#<|{<URDjgM@Bde~%Nza<yU`
z#)Yrz+}5?}Uwt{{TQT{ugchdkSkde{?TSx3Pty^TgVpJ86n87}L9z8Dddx9^1ZV1{
z7l7>vME{rD(dt>U)}{m&FoI14nb&_xNjvRty6~$}J*{d;O7GhPahjv77d07v{9+*!
z9UZRovR{j&SEzg3`9<v7#AAC)f=|DXHOXX%f}l!^OX5(eKJ(I0W8)yjK=V<{*VR8)
z2vBdXTcct5a!;lg9Opalg!cLB@Rv{IyvL>z9skYHeA~^8jTs*PxUieiDOm(A8BUG|
z9y2Sg&{T{ijhR;vPln;W6ajd9qxD_7Kx@C<e&uQeU(5IQ@79YbnX*+!3!A^F&N={u
z1ixQGG7(FV*f46$Cu!J1Mp6~D#E{NIlp>kr7itd!`A1Y3_Cp~GQ>|DW^<CBUqrP$?
zay+GWwG4h~-jE*PjKB<&lMV|*Ftow>R)Z%B3t@PXj>nxhIl`ge`9JN&F=aH6MLz+#
zOZ~e0uHsQT>SKY%c&x7_&U0bfq0zXo;)(e+l1Ny>M#silYcKxF!kT(xZOKCT0N^v<
zzMb=Y3;#73f~x5^ZQ`?{BvIr`OH&;_c{2PyI~Y)S5j~�l9+lgNWBj_(?EJ1f(O0
z%9wR~qOm29@&r^4cj-Qy0Ws_U+@#IKbYEy-D8Dbi7O*`D3Fs8zeoa3>b~Fy9<~L6I
z&^iE8>P%*@ooIkq1Y<h|b@`jbICOdjs$EK_fWnDv2g%hSmz|xR7SMKkH*`$+{IL+`
zi~1(2GI|GUa0ynlVT1NMV4X!r1Js6%<ngG_2%g|GrmA^VI-i)xX40#xqoad@;_6kn
zbRp>}FikAfuEw-~TWfZBL_qkLd>TvY*H=|W&*Xf{yKESP<?(sFHaViwW_I^M3QxX{
z^zEBDlYRWLFAvdNg#6UT24^k)6|OrH;maGFpn(nz4aEn%zz8X`9UNFRRhZIBlD0xt
zkJTLEj5;vPjV^(4msGEx;$T9n)T*-ONhh!0W+oi=;6d&1EcBinA*#AB6`y%|b5HFS
zNqV~W${2wymmu~{indP}mZRK00XEU%65Wp=3RneTtwKXef@tVcyA<QkPFG9WatIG;
zMC57yuD1TVe2R0uAH(?)cWO?Ko;4CWUN>LJG!1O)v2m>X&+WybS$g8C$hc<Lzq7K<
zA~vAU`E0HAM`?Vp=eE7(7byHaYM|P~(@Ih*n>jCi2WhI?$lCI3QOO3Kjpcd%;L}M}
zUbzEycZB}#ylXE(jDAyj0K^;BE?~VuJmZd)2A;afa7@n-G42|?=&Av7<J!Mu78_`h
z=st>DRp)Y8y=}~-WO~c_uzk62Y6j~A-?Bb*BJ@f4=kGx;n=7Z6(>mL@XMp>p(WhXP
zfvEh-C>n1o7?ulqzuQMYQ*-k0<I4ZmPz-IIIK609$~JK|<*PpjHDBoAXrrc3;wsTX
zZtWT_!8SFyL-&UQLn|Al&X>~9^FgcmUiG;vm3W_<DS|B}`;KnU<*3nIqr23M4y_x)
zvP@2}B>mvc(X$c9(#7{xUuCboPYxFtGC#itN#C<+j=bG14J)z+@3ut{(VW*_Y{9ey
zGJkp-B<Y-Vkj{kHAEgThA_Q7W<;SN;?hPmh{?R-_aSn?Go0PAXknvGaP$>T6W(;*N
zGbrvpL=yzK%r-jk^FMWNy9$gfIO8T=PCMiwcpHNekbknZ(=~V>(;s#*fjn?zF8=H8
zq*m?&ub@SS5JR>fOEH8JVJZ4Z`z78Dc^eCiDr+-NBXO#@81oc>HbzGh7<nQ4#mGN0
z1aj&l*S#(~M`P3hxAP!X1_i9uxaq^c&paTisr*d2;Jt)&T~BXvX{|xtO*jVTHi#o|
zzdvz-yBk+Dd?4ZJ`T1Xs1mhbRz!r#Ah6H2Mu@u>9X2NN-@RQrGUX+{-#ox;nLX8xq
z)USL06O4VSB(NLQEs$=Y;s-3}Nj=rB^Tx);*h1r%x3_Gtfn_W-6ObIiTfixCWJ3U_
zV(rc>achJiNF{iAdExJe8#G%Rx_FpW(F;UGrDyo>)BjD>G&4yd$v7+w)JULw@rq&?
z%Ro<$v(JY7T1ZO4gpOwDc?&+b%hNRi$yOeoo(R2xc^qq%3_Giz{l2u6Li&Z>Q=mKj
z(K{VMftke~BKSk9oBbviLg=n!YUf|Qly>-bj^wz(jd~-jJ=nqzhJC#Ks4&t0(hC-5
zW+XEcjWvR;He&lbbO>2HbX1Rhq;04uUX9B3eYSD%ijK}F?F>m-8GAB8jD<<Jhp?-}
znf}{uTdWS&@PB4p8MtcLpdWNuG2fw;S1v7ZuE+WQK3X<6Y6{-+HA%eVHgdZn8@_-0
zCM+xa_g^}zH>U<NLsq^;mpe@rb*P55zkDge99X)wxrPeWPu#eDJfYU)$j{iBAzA<7
z=OPd>g`T|2N4q2)o@DFK?e8fW``YM>5yu0EAi!37A;+;``NL7qCm`^5auNs-v)>Zf
zCB??#wK_81J-4=zR`f^truXMk#DHVq^Y;TCb?IL(g(G5r@709=7pE4sM|J34$KD4+
zK=(;|ue;r$ecF6saQt;l_^prZt}tizBCQF-i)ogsW0cQh==j!uyR#np_~(M&dn(60
z=wgNqvSP?L)`Ep)Y1_Aw%EYO|GvCdXbx59S^|RKFdMz6M6asT;zpC>lrr-QI)A~gZ
zC@OwSAU_vN>96|jjFgqse)p3-d*8LW?{P|e<n)Z%pV@ErFm1sJTH&`gDp!uRzlt4O
z`M~~T#7X^F!yJLR(1+bEP3nD1m-A=K+`<mst%`j)Q@+%_GnpNSAN!NDxuIlkv=Ng-
zki@_7=a(qT!lKe;WcSc+>?_gh+pi{lR;+h7X?6Qq;h6ZM&qZZr8xVi)Z;P<_caC#M
zDT(sxK-b1hLVtA{JGuiRooqZTFZ%I@uj`@?fgsLH5kT@&ziFP)g?tAAmIez83qj@w
zbtay&6)#@Y*%l95!AuEBHOrlNCfTI$d{P3A9|*rhM3CNtgxBr<{DsDzE7bYop}i?s
z$^jYWMYxbrGZ%IQo8OKJI2=%J1e}v*JDH$5EC!A6fV~6^7*bp?LZEIn$%i%_va;Qz
zc?bT>);825X!1o}{`072FiWqL&QI!%J+#G#4n?Utto@sU&{|Z*RN<e(efC5t=Ra8R
zOy0_n_}SC*0q4hm%HxQQA-QLNU>`*Q7Tzf4qtfAHaCxtfPPZM&Q&}1rooQDUjz8<4
z?yxSh;k%#m3I`&_0Y-xNWA5tkn-_OOdhYJpfcyl2&_9X+EMX~{^2%|0gID5YV#xI4
zx3Y>#{<sjVzkTMgUrf1(P{I84)sDfGsBIuX@bJ}=z8|+}bhCMW!tPKzE^cmQmtxf<
z&tYY4ZE~j?LUIxjW1cX}d>#DhI#%-1^9u`@1Wx|`jdW>zDzFSlpRFGKMKJoIEf|7S
z=e~2gwSuqBd~O6}S*ZBwKYhs|4T>oStZ>G?voa8fPAxe0&a64<QRcJ9+L;Ow*mIr|
z6uhf#PnpE9$y6sO^q<F(BpXJ{SZJ6KbS&dwVQzl8mGuQLWdMoy*=QYZ*JGNqv={LE
zu(J)Ck}2KYw|n|DP0(;h#b%L;czUx&K52#5PAul65@g2$TXV_0uO!SadDB|F9QZgQ
zxIch>OI+~G28!2m>`%4^**A$$n55P3>E*LwcAm4LhBh~E){snvyvUT2$0>@`kH-o-
z<<{o-tt4fcge93J5ElOJROCvHt=ny80~wNYvg^MoXEN=o$2uy<I;w9SJRIqF)bs`H
zUo9;yrL13N*jmTi(lKmN<OHk;w;o$KGH;qSS%FSN!6eF3=at!I*HcdwXuLgmfjy@O
zTMH4eCW7SFk1$hh)^I1g(7b<>z+EZ1Gij3SX8Q?gX^O4Qs}Q(^BXYNKM9SG?p=;+}
zCExqu{k+o47u~FxF4Hfr^>1xLDgbqmjEBwgqUjgSEjd-AU@GZ_i*6qH7k<;vRG(e`
z>T{lpma4MqcAoPA#m^iK=l1;FI7AhH@8QFTh_d#7X%&)^r9F|fxsdLae)dS9ZTHr~
zy(xEc+bsr8k(q>P&#^+F$w$f}@hs068w)Z6T>si|%&`<b4m7)wG#wE_ZnJwo*zcuD
z^mC$t1G!?YcRI0yH2*Ts^JDMN9DZeamCyA<2|q(oi4u~!@bsb5t{=t>sKE@ViOcj?
zj1xgs*&j?Qr3}k9ws)r!T2OxU^}&9eXUa=Yfp!~E>;f6%LMf%g3?m=)1d1`Kj#P4*
zMwe=mUxHRRy=_nyf`_U-+w}<EEHs^X;omktd-g1^dkTLN26G${*h|7s@|FwbK1=&O
z5cC!=1cMK}SO@D=XdTufy|!cXE0jWJ*+2zi@JGPf^#W77lav=^34zAgzFhn2Jhrsf
z?>=^ja3&p|PRL$;&JG2k<wsO-!s1?)HVjnsi*6pm;$-jct0bM%FtJ{?L*63ZRES}-
zwKKIdfyL@f>u73Hc0b-(TPu$v;4%-Km{c`J??`$}9ZTZ@wvg-fl`%s_!%X#Y*a77S
z4?RwhwsFiYN~}{)NWr)9@{J;A^~-v~87MRsJ&L=r;6OizMJs-Gu{cy=5RTGQ7<&Vx
zGwN6h-eYl55pUFIa7$Iw)yWI=4o9?(;X!qFaY;$lkxCHg=#S&x|MAk%*k*G~Yu|m*
z*+m~LkGc-xRczbD;uPvWId)S%XvR7fLthvAd`3;CuUfUMEl)4z+1R_eH>Oes`1aaf
z&1`RPP(`TDsZ$K$^+mcTK4#voQr&a?Aq;$o=>h?=+-nUCt(zr9XFAo8903!9Q*y|U
zLXgYQ_u&;mSL7xQB?oaB;!WiJaYXDkU3MRJAGv?PKuVe|xB6qijDu0K$5B#}!4%l?
zFb3hhrx{*$aV+e{0F~#z^e^xhUwVNC>uOO|ZuzWSnM4=fHvaW`ngPd3y`3&{czZy|
z?T6lYUXOn2LVmI=><*Di3la*n-!w9ukbOwx@yA71M!L3m2a2mzXIJ=x4G=8vh~4A*
z_1W+GdHLy%ziL{mO>@sdpnzakJqJrOvtL~>szc&v&&#lz6zHmo@t1K=E{%Y{GFtHC
z%)0j$qBM3GK`*z<&p0vS>M@8_iM4OvWgh=In)XErTDkQZ?A?=A#ccGX*ObI$cBix2
zx2nt}9PFR>kl5ifFZkfyAaI{<GgajCE9;ouElwD2y)#j`%tOC5%f2;R+Ui9^c--&{
z>t7INb`lbtzi3nD)3ZvG&o11N`pg@mTk80tf0`Zarq6?MN&e1<4i8lEa<A7L4lZ*7
zL<g}lKN4ZeK8O3P4+AzqPF15LnwP>rDlK6Z6zM{^i=314nQF@R6jI`W@bv};y;*;D
zYssh~!H76`r@TkK>pXHdoa@!d;HJk2VIFu8_20<T5YT<|TO?^k83dWr=7TiUl%!j8
zt$g~5ZEs+U;Gu`&5vBWxW4_M%Xq;V&sya$QsRX0|E{`J#ltKFZ&6}C>95AoPj{WkK
z^<mpjwjguD@HlS>%*qG>`Ok2}Tkhtchl?$*MkG3325MwX{`mv$Ey&^^%sDzfp6Y|x
z7#*}_qWZ>#q*mAUWrwB}aKuH|C0eOZ3_~9VE)~7Pt=@MG&6kn#D7=mSDTWShE`qA&
z1Ly$gjjxaro+Ek$<Ty&`vUZZ^$>p+u>euVs(cC|H5wARHb<|z#_*ht~YpFnO`2g)-
zRtbjFQ0QPiE~)~-@te1Ap$&o-nQ-?)>a}uDcZE@0+R$K`d?6w7O)DyVj*Ng@F^r)!
z5TG0pMiulyHRDrL$j7v(#|8wB_Fwbv=u<ov|2V1)BajM*kDD}7XaPI*cWC<m83Dk*
zJZ|9BjYfARc6SFMTRT)L1WsCJDpgfgz_lo%uK~mg7eiqeH2<P335kjLxGfcTOkeSb
z9Sagl^TI2;`9-My=b`)J%s{~007+6dHh@e<Mn*zIGIHzsq-6fE$_tIK@NhWer2QXi
zj|`tAp>GzbV2Gv+NqKtG&>-82em5zKq5!#*X7ll3^-fZUUPd>W-^NlKv(~bihP<<<
zqZ`ZcvIt!LY1LouWn26{BLjm5<>bpYJtebvtLn~cWQay6^6NcXKR+mJJ^*DfHArvQ
zR27zYJ1A_eaqZ1vfgz(c;k5YGl%dlV0diA*L_H%e$coX}n}D?I5IS7_u8=27d~m1p
zykV_`^(Ua;pPI${J$dIF#^zClS76bXJLN0aBeVAGYIx;Tg)fLc@FetZZS-$#z@wnw
zL0z%c!hf{T{r8&T-uqR=$J?<r7-p(jyf8;=1U&^re;+aQS7Lv{jCmO`ixqDoF%w{A
z%zbrXTr*vDc4ZxQq(QbX?UypNAT8UbF#FdGLdNN{CaK#Zi>g>nZeszZ#?j(t;g6C#
zGynS0?Gz;|zIFGcAvyIfMYDmh;TgNuDlG!;F<{#|6_+5E!4~otXp%?{Z7};;;xIf_
z+;5;cFV}pdRPQgh+)BgIaA}R4erGgAo6u3<FNdWr3Ttq8-o6!sXJT_c$!ES<{P;_=
zd>s@6a#s#|lp(Qz=*$4yaxFw7;{%!~v^lmZrSgaO<_P1I$;>VHC~XmwkXY_C4F@GZ
zmL!v=gf(yNupw#eOS`hgA1AKAeL`FQguB~a!%|Ox>BgQNhhaO8O*L^P<q1LVbWD6a
z^uy3`-oKD)(Gp+P0az+X5O-zwPr4CMnwM~ykUVG{`M0oO6wRRR*-FupzCMrHf^r~o
zG>im4v7yEXUkf9E$cAewpTaI2b#aBfAGPmW&9IumXUZ=Dp?EXS7eoXv021}!v?Z!k
zD8$)jEf~Y=3yJY(@a|wzK)_yhb1u4qP{}Pjy9e<>vTl}^yQ5V<D1h7v%nzm7wW+?c
z?y>nR6{_l5YHDg=V34$e|BN?2NEJ=9*Xja@a$PU<Qor(Fe+wucDhYhuIB<lhz_x?t
z_i3{^juqHRBw1C_+TeIw>62nZKJ4;DmZ|wMw(#lx3OSZAOgj;JM5cy)6vV!hnzuM2
zDnA|uiUJ7;b9-UXoa(QDPw94P&*rB0BndfT@;^)<VCs?%LKXmy8mKoWAh+v7Da!f~
z%R{y%tZ}ooyMe_MWdXAl^?mnL;uR-MD1o_xh2rbY#KsW>j6)jUsR9`?vRf{%Il!{8
zcehp&wSt!*EzIGA`W>QW1_;oFUFydkeOBf#DJe}iw5E`3@%zu~1!+0=xnFR&RG+uh
z;vx{(!aLg9fOp5eWZ*U!Kp9dglq14Sg-ZPN*6#qg%Uq`W!aj$Hs=!9ljI}j~$CIZ1
zHRmgiFcup;{UKF-ara}w(Y>;}+3rl{qgrlD3!LgFAHL%%XK<RraErm-eH~gu3~FH!
z#(zAIIrYgcpEmQtTRkQDn3lYMzZQElC#I-p`CLqFETk(MM{Z9>A5Lt(@~b?3prS9Z
z)pJyYc*py!b@%`6%pb1zAvY|AVtr#{|ID`|CGZ<!aO9Ue*;lqUThBiB#lAyqdDZ+;
zFo7U#yxbvIbDJE5%Z-^Jxt_PTt|K)-+JO^3;D1vX<-qqqy!x#_KT<yec+PV@H?g<`
zxq;_ax`+2dO^Q>veE~&Y3Q_2Wa`ff1t+ukff<+lS-lqdU46D1-jqtrg#86Z6==}NF
z-U+DND{$pP)p(8@pFhnZDQFYW|EQ_8O8432maqOHB0FKc#HA3|>;f4QV84bj$0Hg9
zn+9uw)RJUT8e$jIk$v5D+*X{}l-?+SZsJ-(rNEQhV=XcZU(RE~d^>aSy|~|5GQwV^
z>MeKb#AQmsGhX;~%x}_+el|L>9$~;qhqrES{<&XW){By?*_}0logT6i&(Jqw1j^5t
zKb&1&zKK}C`6evr>rL_jn@ASuhu;~veQQRD*x$Zc`H%z@fJvRJaEw{zhaChmPHf#4
z{bAoW$c2m@sXjMTx+eGO-UapMYL-Kt2_C}*1RRxA7>UK@=X)p8mfY;fiHSKt==|U=
zvTA4&sf|m>eO~lK9J49&t|ehXzY_b#rqa!QFa!emMQ3LZeavA`dd#kLz64j8bYKn+
zOOuF*2ySFRs_7LVbb0&c4VY3Sr-<W6)Gl>DEsDE?0s}k!BMow)w{ur;d=(3B#IH~L
z(%bd`BPhU3#Tcp(b*ad@ollH_@3ix;n)-JDjL^Mz7N=^_#-_P!|9YAvjrX;ykei<3
zD-oX5nRC*{9m@4i#?eI&1R6{{{P+-`$18gsz9=MYfB&xK{FlO11OX}udqOXy(gc}0
zI@0C-*Y>8$2*(rzLng#uDMOCT9vCfxpVl~nj^07@T<TY-ypiMr_XWODW9Ek8Sw7Jm
zrrjS?Ed4x^r?X$?<k+svjf|{;Bx!|N_gGjr>a^0zohofuOruy;O`pfde4FgmZQxH)
zC_#Sf?tEC_e#PcuE@lW54R39GJtjManp9eLUJr0NtGD72jBldsezsusMV9})t8kD8
zQXfR!nW|aY>$5ZIH(3!q*N2(4-kGf_f0I4lt8Gbrw_9Z<-H_l0`zpE{jAc<@!6~z3
zx}j5S+Y6w^*5>{hzw3Oo2{D0cvZN~<i|g~PaJS$2TWW#7_ttdB!0k*6x%M)(s_Fhf
zT<%^qfz$-FG}Cxzp|)+ztv+#+kKAW^Y35hlmv7(ZPHxRXCXog)0_<!#7n1Y@mOdV|
z!zKyB#k$b3%d77T8q5o^W}03i_d}4bP>1Yc%xTaMB04Iw9hXhOIUzNN&r9V?Wj-4n
zJ`9ut<i!{S+`UUqu>V0Ox4d)mG__O$)Qdc<G(@;tf4*rD@I1lth;H4$9CCp;(JV02
zK*xK}KDnu>DbJTLx_V=&UrtD9c2Q+!pkJHKV@_qcZ~E*D4H+aEFuc@bQi0OGZQRUN
zl$7MGSe!lpFuF&de{)>%8Ix?+>yiLyOt5L|#7~|(zs&1R=~OecY=6GlLx6lW{LpDk
zg7P-Gz?|%_n_fD3*$QRp03$s5JU;ljlC4<6iaytya>3DuO-y*bh@@n2?0-5xdvI7I
z_OaX<&lGxm{8piL94c*Mako(H7Bae{M8UpbC*i?`;h#k}cO0e*2G-%AsES=z!3z`i
zKSdn|7#>gRTi?1hHJ+i7kw_hA41;9RwTi<4f!X%HJMP))OYDjL-Hn*dk<|r0wSF7i
z#?ZI`(u;&|v`u;c;oe+YT!ac5c4+$jAH5UiG(jh+syfTByaV>lFC87?72!KknhS}F
zYVk$k6ofGCg$AUz6%`ddU4tNdon>kTwFS@A+$Uok9vDDU)o8KvF@^@w9Ewd$9JQB#
z2-tGR^~4Dj538<9>20WF*}_plJW&H3Gp5-*t{Gq>J%J9g8`aRqbWFfqiOY;w(4E7Z
ziSr}u0@|L_Hw*ARL*I}1fZ}d-zB7DL2np=~yIWQD;e!VQq3C8TML(JdVf}Bs$cg!U
z*7f3?o&daG8<3_a_{@LMefhq$^uVoO&$CY0+%vk>hQ+F8wvat9;@#P0Jm{}50=9NA
zv`#f%;$F~bNK@mn1397s$C|Yh^ttpFACWTOo7sUhLA%ls#-0uyka>s!x5TLsx!eo5
zIdkyGUH;^AlX87H?69Y+kIl4I$-MYLXeC}!+lmdBZ0$7=NVibyZ3LZ|*=TL?eyz4~
zoRuvAjurOXTDZ(`_tvk*4!-b-y<yKs>9s{!y@#l|4<1ZCbJ!AHm91@}b0pdhRC)mX
zS%ITwUbr&nxx5sH{Degh4ECTG!pAT+KffMRN8%2D1p;fWt@GYb_{wi#%mz|X*w%XM
z7AYZ^@W%-`zFGuAB|^f`Y+<`GIbf2nNKb|rXYkShu#7pK4@xdWdsnv9m#JBqoV3yZ
zC&-a`m+Z=UG^g*U%kSWXTOK+VvW8VCm?r;bnKe%`hQ844WF&wjhGV-m2*n}AwZzb!
z#mqSso2$6F!1?rAb0Ku%7I(e`HuI1pgxFusZ+_q&vzNd-lhhi0#|q%PLHpN9TMl-+
zRYvs%t_CPw(A3l{y`jh#C55{0*Du`tm`Y(giCs+!-3=hb$f99EkV1~^wA9Bd+{G=4
zGNE@EON`-g$3gn;(FG_-7qAo1+Uic_c?}M-d11m5AX2!i^j2^<rCtnwDn5exW?^9g
zT_lL@P|UyS&VoG2&Q1>AfQ1E70^Gj1VxyLBi%{Lhsf%h8M3Wx-V%=;UJu-GDtRz_b
zDtvr|W6*t}dt#>2pl^pNSKyuqN)!nR@a#{q5b5Ke8x7La(`gS$Y4I~c$3pxk^FmZL
ztTG->CMLcqub}cy`D6f&_KGJOGrdE)Xh|C$YVo0TZ6^takPWwws3@+%?|chx(hRfT
z^kVX$X_JxBAAE#CH$6qbc6M+39)^&V?F}hn<#^n~4xWXQM<99v_YQLs=0b0Zif#zU
zK;~cYl?mCGRd-kH?wn$Z;KET1ql(u`P;a@{ol>JSbwRJ6U2zviI}H~fSWsH)28SgE
z<AAQ2d&<ugS_eI-sj4kxJE+_t_+v2T6E?p3P^eQO{k{3dZkt)w!Qq`_RpjjJd1I&y
z_<>FHS#tI1=;}HUTKDBw1Kd=oN!4T)zgx(izNkCy_0dKQZ*>{qq2#Sk6MvFjtRHNS
zoSBav=<vB`w(I{+JW*~~iURG9F89V#6;n>ajp!-=L*APtGi1K-bx~ja4IE6^!-w9^
zM;A^tJL<DB1s=ln0pqZCCWCmCxw-lOL=PGn{It^qIC?Py!@^?L4Ki|u7Z0M9x%34(
zkgtlNmRf?;DQRiXf0Ngu8ySM-F;`P4mQYZ~!X#T;TukgOObE`-Ck#H60Mfa=mBcrL
zT)t%CaC(Jax8bnf-d=>W3ymZOpW`P(*c!HNcaSQ@M<t!ZLal^HaQPJ=aqtklh#$lV
z0=|s0WZJg^aU(nmXAjftv^bOA2JHQB4S`yqXu*!P)v0_>n}T;6cdUok*_zvsTjJ^V
zD62E6dIFJSbr_vf-)Hl}F|XKcx1qWsXKU-v(?~<i$0)MF3=;+9vAG?ENSP00IEdeq
zQNLrRi`@XJ@3~~btEZ0F2xd`pD}Y+I`xIMaoA<~t0ADzkOZ7xmKpOF@f_M~v6$w^0
zcJ}(!8`zUTE+L(W3MsA`(h;z1Np`&N1(oK>rDNXj%!DEEASK`xuskayB69oBcV4#e
zV(a$Ta}$`8LU0dk=Gc7x^JN5X>fgUYj7M4-iOy8{>3?nz&Ai~qh3%&A3L&W#ZyE$*
z=H|Pi7q_8ekg;D9Xd}iI;79A8GI(Pd@zpXuCI(bo+%ed?6iub^AjAhRE=pLvGgwKY
z8M}}gV@RV8Eu76;2v)EK9e<;piGj-Rm0N<$_SdfR&~ruZq0Wa+Ogr;ND=!$o0Ig&8
z&J`Kl%bCnW(RlybofCdlhoden5`6;uUp|*$Ro%9T588K*JDF@?24-t#hq4nTc!H`3
z6?R%+K;ex;Y9C(|J|w)V;EWnSb2Qa@;DVdqOBS*PG{l&i)DPq00(JyDZJHpzc2zjx
z#+`6-qj4!SU=OY1<H*7AoN5<1uU$4D1?j|np*h6J7-VT|o$H5jPJ%p$5`r&^!t45f
zFX$B1t&862@Ebhh=~pmQLCJ^-ID%=;9ELks4Kc|TTWb|W6epm1c!U5exYCGWlg<54
zn-7-4UJ?@$LGg#mMVYHc_wxz+x6dTse~D?ORcU*r3UW@ce0rM-pz3M^1!f-v-ct;X
z$Xtg$@767uEs5$YwNZ~7fqY_T1cVf`-=*a9L7i8jU_##c&;I__L3;!<VEWwI*(tX*
zFBkscL6#wD#mbL6(lzlSGb>4cy|nPKP2k@SaqK4kU32u`vz1cIR=E5N-E8xzn(p(>
z^<K=36Sw<Vac=S)%Jw=FB0<C6<6=K=z`1<mnn2pjFid<g*M@RASiYcZa{bn%s0vsi
z0q3w=L9VGrhG)ew6r#@?N9aQ9kPi6iAhwa!3@!7maz1Arc^E$69NJnm+*)i_tCYJs
z&U{pD%6Ba(5HlsO#Z1G5EiFo)A5)W)@}+E~4En2UYh$y1S<iL&(c|tMaX{S02Ln5P
zMz|#}nz}&ui*VE?>sDF0XX>U2!uZ3Lx#Dh~Y8soz%hxR7S2b|%yFO46b%~8xOR$1L
z*61laz3AbP{^0)&SG4O<E5%E@(~Sgz-H1hForxrn(BOqV>7x69y5Qa!BYgWXeT+mK
zc~w7x$PlI3e2ZLk<E{SkGLKedh}#0rH|BMEdu76|;8@xNJXxdoDtxGTkQ6xZYDju6
z3kI_492ZeLt^++1Mh!?l-qh`FImHBLD%84EH8|w7?n70Fy_89JZDH3Wrn5i}1l7QF
zY2_~NA{^86-W5MOQ2Su0LoYdEfdm71g_&yvaS8+Km-B2-jUWJZQ#c*}Vz+XEA4lr8
zq6yp(8JVeBx6kkUcHn4+eIT}Z6l+cV!$ptd9;Ka$f}wTQF4+vB3jc?yHxI{hZQF;<
znW==3p(IJDgk%n-QYmDf6Oxe3Lm7)u6d{CABvX=^Bne3pG9{TZ6O!q-U-x>SZTr6U
z*Lv1^R^`60>pYKRA5s4VQ#kKIh|P-(FzS#(yt0_%(72+@obp^mO$%pSdirjz@Pb|x
zBovgC9NBUQp%nSt#|?6%c$hCzUAungudyVX8g)Po2C=HQWB|bWkR%J7^3XSd=B+CI
zur&QWd%OLO$&VYeM~w@t8q%BmbP+2EyAcH$;yfT@1grVQ=q&lg%E*r01y{RY&l~*P
z{8H!y1)_n-$ne`G%6Z`4_-_9io+9X5w0p^K0tSq3_=B)m*v}JDVVioZTS_UC$(g#-
ziz}&*dR9{M@L~CxYD#>SxLDoY|H3NXhNp5PXa7va5zlUi<?R#lOaxwtksjAVWPSE%
zQT=FUT3P_p9DUGR-~gm>fyuG4E?i{5Dq)BD533v!xh4(~5YB2*sz&R=`9Op*<-a$!
zk=qyBm^<Z2dN5)?fEWS1dvUh2L4pxq>jz4?ET(HljAwnk7Rg!UD66{2i+h|KG0l!O
z9v;DV2N!>+ApI4+A|?NtABNW|f?C><U=9KST51fw{Y6(etf`>NI~3RS^(&jvi)ASy
zKo;E-7J!|>h5V-GYOaM`U+C8-uZ`KG7FBQbmzY6Oo_`L^5-*4;1{2)0K=^ROkm13`
z-JG9xCPx?Lh3B6O-akP~rGC&o*;jlmS&1J#jaNLlSWH9Qq&;z!5a@Lu^R%|e0`3`|
zYi2q6g~9GOw?Z>8kcGi{7{-zp@?g-Qpv9z3L8d#v+FJl+7A|B!e=lB|Aq)U%R61Lr
zlGV?*pcWgSM~fN^(~zOT#zbn_;9<@zE-tRD<lTh8b@)(-tlMWFtYKvUg@7lLIiw9R
z3;y!8j%~a#^P|Qh-v%&?zsEN^t3rLzUohIgc)+Kog<~nV!_pcKR1vOlT?RoE6lt-+
zAz~zUQElkk3u4;CQx8?FUNad<w1+zj<BUku)d>yU?=2&>_lOzs@L{B9wq>3jwBJUr
zhWVbK)oiOR5A&w(x{r;|TPx5ElEw_=sO-UxY4A{T>wmGi;RG&zL7vTQojUW;+<l6S
z?NlDF0CC^hu)l}%FDm;PJv(W!Ev#-N+0XY@v~qV2qDJA82uoU(LlhYF&yFQM#B&;}
z7ru0#crl>c<XaS_<>L_~$31S1d;kC(es#|-L5YfQl4zqLmXd~shS2-KrT?M|;!gWk
zu5eV&A+_DlcQhr0QH1laG^<XDXSkR7+S1JwnJSogJI%Dv1z2Y>(I(FKqSZ!%auZpr
zjSCP9Ts19n^QTK5OOx57uu~fUXSEPo##%f`V`F1V{3xWx_qjSICVJ@j0V;SqUVhUg
z4Hzn5K3kxXd6Dv0r9k2SiC+o*t3r{r6F!`xI^S>HVSG`^Vr?-4TjVp$d3vIs;-A(C
zeoPmPn|X!A2E=F;-@rGV+>%_CF$ZZ1Vc>_G1x=&Bem&LAF6y#}fBgM*++eQYTdwES
z$y~)AE6KI>j;bV=v3s+4cXGI~1@2QwmU9P37oFyQX`uR7g3*pDaf!JJC9nJ!p0laT
zu&DuN&TdD;v~Xxa_hjaoL|FVDZGPt~9&Fx+Ve^C_&Zj76^2eA6(Re&G?=ex4Cj7f}
z{AKp@=W!dmTI~A7*u!8nFcOgc@8@nm2}R-d?a1e0<UWL%8Y>R+3~eMmu>pzV^cRIj
z5e|CQX4!xm-~ktT+o9R14Pi-J<R`<ojb$aNc$-4v89o^V9n+p8`nhHdpuoXYX}_)U
z-Me=HI-YBT1cRl^s>3GO9B4tFW;uuu{I%KyVXGM$BwFBggBU#7?b2DH=uUR2Lx(Pi
z^~34INJFWnrAKANyZwtK(s;q=pAa-~7h)WGg03xQfD0g_b97spnjSRXEOdGRp?Bj@
zjTtNVDE4E_W}0oFIn3M4bhFz>=FRIliDHLaO4ZiiSs?&?PDI|He{OwM;ix!BeJqfe
znpxKOd;7F`F<1D|SFTnGT)auJvd{FHrngC|6sZTBBTfPKV#n$$xfQwxT1u)9mHVw}
zpt1n`56w+N1d6{AlMdgPT)pBnHt+1w{b`t`6>Z3!xsfwYHwCLPTs(#*5F6GG!^V6C
zi1-wNLE$~f=orU~)fg*2JvoVFOc~x{OTjG~NOK@gSR5r+eP;YBnadBZrJSR{*<U{R
z`0Rt{sd-#v0A&mf(e&ekSU$qHdw{Xc{8sZRB_V%0zH&L*e74bre;BjHRE10QME|X=
z<27)U!E`&4%a}@F<jBacFu5kd`OA4ZWOp^(h_r#(cM<#jDl*IW)4Sa_){8fOU#$9G
zc=_x#%GCjfd$C89hUjOO&Q_a7s6fuj;`jI1;zG$5V<-|KpkA$i#N<-(vkGTB^bGc%
zr}<eKLA46F!t3$p4_s1H<Kx`hx7Tn$!GxKzB1u0p{P62%?4z^pXsF(Y0Dn(Ukf^2S
zU{nZ=iuZVS?<{nH@W#O@gIPm_*sZ|3fW)5<-Ti6fsb(A0Qvlcg-hd#ru<I_9`3o6j
z*jX2rWMm8jjQWpG8tOHMcGI;iajhsn-wAs1c|S?lgtW&&<@ZS-S#~5Ic;L;ilqtyK
zGZ6I%aiMT%{Nu-jh!BlX^g(!>8Ec!`=php$pz3qY7Wo8o-;yh`zCXbH5p18LWN@iM
zsj4TM)&851YZ`=M7{kMz&`c<tu6)Zox}Qu!R@M_tc(6GLf><$Q172SIoH%{aF$8=Y
z+bng=2#8=M{+r8BoyTnPfTHYri^k6TNNuyP=Y-u(Q)sJo7D6-BjI<N!j@iD0PFd<o
z&}Fc9*m>G3p8_99IVZS<?(R=unU<D-jvytii9^M1Se^gt@xSclliM=iDu@taRGd7Y
zuJ6m57b6;w(PN&@9b3EAPqFc@X$6hq`XLuLH$@B}_|&<$xq%_rf5~2r@cDfqS%qZ<
znM3&+ZS(M|5%@}V4Mz=-=8K~2sK7dwg1B^iNl;|Vm)^U4FZ(8gP9DGaR{=T+idzzV
z_)I{XGuD2V^Z_}Vs{9X&5snC{gml|dd^g_Sk9$kNh9g^{ap*kTLXfyOmZ)OG9|;L5
znY{FBoo+O~YaBCbPhP)XM7@s*sw#l-{`zHg<NX!g3D*?>y)384Oe@JuE15f4cR#*a
z<wvntPKhNPqM>bcSt=<%F!4ILfq~C#oBtqrfh{O#0RP15pn0d;9ceh0@%)$Iod7?b
zd_yM{Rxn{#kHnYDkm+7#EK`=_Nlsuk^TZOf@nALyi7{U<K*6SDZZLB5TBY+I%N
zmkYp2JtYw$c~R|h-Sugs9|3C!Yl1IqpYByWA?<c}R)HxGIivl`^SC9i#C~MyBDhWS
zEj~X;wmQFFRCAzPIy}?$(EJhb6)34et`xjnAj9h2>CL&)uPqYvuw*20n`Rr*<_+KF
z86&eSE!mr&^%2%z)tww2M?yX}Obo+#0tSK%z3}-w+=>&J@430TyWHRqB*5ik1(=&y
zY2l6!UJi2xBe^u)Z#tU-1vyS$F^lj2;bS|HT@Jd&U$gH-`WM^|*h-L2huZ<pVlv=;
zg@xDM-8pw{O>2DvZR}jeWBgm_w_N^Ek>%_4^!FqCa-<3rDAH3f$hl|1NybX6`$DgV
zD+sc12*Dj?@XwJd+o<y$e}?}bE|yRM+8f4N2)|W#mOxm5j6~|*dsYYU#7X3KH1@GG
zhrrJSJxjixs^#su6L@AoBZR9*pUKS3$PjtOlzqsY)cq3?8EM&chw`i4Vb22HrjS(O
zAQdf8Xkwv_Lk6PkM2FbElY&vmOo(l)Q_lkof@tp+=ujny?Hx1K$#jcDj_ukZT}!=g
zkgfTxm*u72h?&i2bLk~#tn+~Hdgb3gv@9U`wsZbL3ow-(y|Q|<0YPR(2Kdo9Wd82#
zEV+JJm<|3sNW783328SE^P)}NalJP>Gn>q~UAK#ay;N9ue%3hV!e)gn1m3J9!{S=z
z<LJmr1|2A1WcX~z5XuYWF=gxCY!}99hg$=4@PJMMqWvuc+4>qTG3ayH)UdQ;pT<pn
z<z)#C8GwcUX_z7k*KLsy=L@^d>f}{N(}xKfA`IN?+b4Y8=Nk4P=LPekMZO*y9oWO>
zS0BQ{P6)?tLndERPea-Y_{jd!%3g`y8d;yvZ^%uCK_8<b!^8uTdSq2VxUo%rbGupi
zo&-+A+blTo4~33sGxiaKc>9Tby?2Nft2-FS_}XZ2AEubZGZ!Z=7zx{}V1!SW_j0wj
ze}QQ+GxPGg8w5rmDeiBp6`2S!+C1cf$6F}6RdNR*8iX{@;7I`!Ltp#ci>Dye6Pm$D
zzS)XcrS9+F;}a4NG%f(>g)njTE7H$Qt9TouhAq6kR{^aJ<>Cp3;XGR1l|X)3A>l>l
z&Bvv+9NlpU`GBOrPxRU!k`ai{AS=DNkMpBYS`cUDm!6)Uwzfl6(wBGM?*zmvxCMGe
zK)h%pCLmt?b!z|s8YgNNl9GZ&nrk62yw+cNT4+~nBMv)5UQd{+a0kPboO13BPWid0
zCqcCmC^SKxg+uXCPR5urL*&e(Ugm@#s-A+BQX$B*E2^_-9dg$B(|^(GE$V)0hzsnY
z`mb4cz1YF|<t%RG!)->eXPg2F=S5z<Y@$6E0+vwoy_l+ZLC2Tob+Sf|ZlUMbks%0k
zptq`xR0+3VByXIeaiit+TXo9OEyK17%<<<^oylfOsn@Y#y*h@p+jgIeO&k~)0OwCe
z7E@SE=r|*M^$J3!_sw6P#(6>WdO6Cm{n!>WtWT>by-C@XttZ--XHMCD0X@qRJV(x_
zaP@rs3S>P`9@thnlr6Y_kvj=LW&AmCzRRY_K;On30#(MvT$AQXgi7{0NK3u8ERQ-Z
zRJB-?i%WVYjXyz?arwEi<3?K^)EH$`rP=?4HQQ|7rl1yDH`_?euPW>Uq54*m!2oB2
z>HqKbg=2uuESb7T{LLSMl;M?eB-3QZi#a#c2txj%R=bu-&Uq#&?ft6rszT94#l>i-
z)U_!G?*HobC*9pgr<<S`zLRy7CZJ||DfZ;<u)2ft^5IJ<o*aYaxI^!s2z0O-`W+@*
z0RUvgV6Dp)6Y}uV3RXyVy;;cVfPzB~o0w`Z#SL$2>!_TYm+wsJ#6>V8m;xdHhJ2zn
z0$B~y<Kqb<g3wZ&S#}rBRtBttALJ(V75Fv^W*I~IfO+5~#ZdBM2r;^7hJomv?PRA;
zu|J>+m}l~DNC4Was^S|D9!b>`MYe#miwheW4nx5$=A7@X4#KEj=wtjpzy_TGP*)W$
z;MMb-?yJBL(lUa^gp6{o49L%+aT#C0HHf(dsdJ}Fj-XlkDnqUA4YDV~5KbXv2tUvr
z)hy~Q=obN>yzD)H`R&|tIqonS9{ZYCr-e{XH0xe&5SxJFkuo`<KH}wg4hn;FFS0if
zxijl7aXVcY=dG^IA&ckRLuxUp4|zsjhatlawzgY-0iJ83$4@c3cr#eo66X;<Nyq^T
ztmwvz4N~4X0+GS5?<lhhI{EQZDJK;uSoFFjxy`5zy2xS?rzJ3E5X<&bASIkFUq{km
zask>(+CN!I`{yTA5EH3iO-+ns@YIawRwXetVmJdn@-Zw)IJ9)}`xS<uw=ikWFPEPd
zLJiLKhcSggO=L3&rgi?NyN2mu*4=fYbG9hgC#RAADDPvRs7#)`F=cpbA^JKi!xN#z
zkI7dy5q7yLp8^)ZpLj*S)O_MSt*j&dK$!V@$xEFa9{-E)d~VGPRXfhW&8Zc}a`twJ
zwn+Q?aBguIg?v4Gs8KitvA<(OMo9x!dyJQ4nDBrFVdL{JIVH0<6uaV!{BIsOh_(e=
z4bdI4XM%4L=@Z`&)OYcv=ruO*!}!1~axd$C)<&BV&Qu(tr-j7-#4$)elGtBgdD~FL
zTfq;B3@Ec^qnBU%(}w>X1}K}I&H!Dp){|H<YGl(p4XOvJI4N%>7G;WoK}ewgr@wj#
z7daZQLhF8ljhpMs^)RUUxYd9RdTtOkEmzK>Fd&jw9#<@|`qv*$rGLSaS9t1m{a}se
zHYh5so4H;ark@k$k#R)s&1cC9<Ydf6Y~W}`><boM7GwHn_febbqrlg_UN__n!VO4E
z{UGLI6@K(6<I}<Col>Z&^}rzKB|7c1vjOSMy7!E^Kyzsk!8C7$?ASkX0{9i98_e<`
zU4`ZZKnO$dFXtn=7nC2y$UGQI$GvJ`*);FL=ke=4-YogQ#WM?<g*?5A6v@kUSf7wJ
z%4Vux=9&Zbj0{ivtQ{~M#9)9$hhvvx3lrF=s^x?#57Wk?eFaW1$U;%X(9p8~F^dxO
z>=%JLbH05tEDC>rgvf7#C?WlrmNsa6s81A<K|~_m1J=rpL!qgdNwMz%9OFKQks~Q7
z32iMeK0>{<O$V=fe6M1vE!W^pT!AkgoBib%c$i1->`D6kVIXY$a`IDYimHCB-As`R
z|7`GQJ9R3o-42=LLti@o8{=%z$br?b<nHq?W0LXbjs69_F`6=B=_`zR@ky4kct1cV
zIo|qzrgCtbq5_1=N1O*qMs1Sp8^g{=01-siBNX;voa*xNJE~DFBl|wO>jSFJ*E0g(
z01A^66iZx<=00Sdw~YZo1GcWZ6Myv4Gx+jPrJqM+dHQ)h3$VS={WlK1ZH@(Ai0T%5
zWu%9Vy5lggiAUc8USX+(957qR@&P(lWPo#suSDeq3<VZ_`yQT5*}<iTuns%|`+H8J
zWegfDsnh;$RT;=d`)E}Fv!^wJj{wJRIpYpB0=NUupLg~^L${bJ0PYA6yZy8RX_N_c
zwu#5Pf-E5(X3IAG?8%QGgZaSkUReqF2Ulxxw=tZ);-+A>Ad~N&M7bS?Z8z@E^@s}m
zx900&j-{-|>>MoRgN4X>L9kQ*G$ak3zaE?rgpJZQh7x{56giGg<K4yRX~+9T(ioV1
z<B)$1zsPj{R1%w-`7wYOO`w-!8xu_>JZ?P+*9G7L?e&>VU_)?UJv?cy1U%r}F0TD&
zT0QU)fK#`~7mjVz5!qHNVK0M@DTH0)1oKwl3#rA$0>=9I$}13Zq*8%T<*UZT*6^9;
zVa6EI{h%rw3Md-phny%9{EB#4bI!X4U8C{gHx9Uh;Jh9bONJL6O4l>r2QIAf`{kZ6
z5!%%M_we7eJdFQfqP(3vJ@I-YoxI?pc|b94*Pb3EjrBStkA#YX39~NTKXIkx1ZLK_
zLzh2JHzBwJs<`l~n6vAtCC&w=^G#5<l=m0MI}RxkBZRp!+#dloX2sngtlqO@3Y;)_
zJ2H>PX2V$k#CYKGd5|Jap4~?%P3P4jd;siWPN#00bBe_pqQruz0^b*#FLqp%eFJh^
z+Pafi|5R7?X#jv+OZJBwgCLn>SK0``_tuPW$~j^1Zcdk8oN(vwve!*NzyIm1jqj)K
zT{rsbjg6L|k87}UF6)JC@ZmdhGQ6f!Ricj}UjU7GnhhyW;PM%1fK;5b5#|bqobAaD
zpM|ZWF*I1zpnwHsA}br;U=<^(pQ@V;RszE=S{C(0LBJ!m5cna&p-EJ9yIm2IaF7uQ
z11aEmxFWW|Aya*miougJ7>ql~Q_|ej<X&O&^>-ZHHIE;ww(?36Tos|hKMzUK=@JMw
zde-*Bvv;2EkmE#-$%iSWg;>an2z_mjYd6w%hQEuwnQohDZg%uxA*;5%Z0<PYi1?P@
zzbS6Q0JOBUWO~Gl^}k~x?zU<weuP^}IO+*{Onc6=!nevaw?kT58khZxJ8;3{9eMfk
z)AZ6{E~0mGj^f?L4>s%0;}s>55M=(|r~?8wED;zn2%R<Jo<Ol8gD<m<Cg4`8FaUre
z18i0%5iKJfU%!%(5gZN7F)NTq6F!o=>buH*jxTu1{aWz6Uh=rrrrbz6G{Y7wcgHxk
zSNw%ag5lJ>sZG~UaWa^9VvdIYMsUlrw}~(tJ{2t1F*s}X=60Z;LLXXXHhKuHupFQe
zMJ%><9lwwG{Sy-Ub?T~|n)qojbT?aD=A%#=ArnOKSOYfHEqC%R-c7u&wtq9(4{s5b
z!|X_Fh6-w6rredyK-0`ix?KJcb@2xMna&zB3GZ>kev85c##(ro?AJn;XrQ&L%*kOI
zuVDYl0kyvb$KQ43wm(=d62gIS;rnL}p)`#<<uu@v_$7qG_wfH`L}3pFM%_51XC7E2
zH<bDXCs$bRYzO2WM~<MX4H@)tEhBhUo@>AL+3oIj=aR9`0dGuuV=h_RS^AW!pw5sU
z;k;-h#L{u&B5%0RKt#XNPDEo4urzQHOnP7>yWTTHVYZK9YMu2r76teij`y)RZcAD?
zx3KjZD96c3B+&vI!K2?>SG}c!p+Ztk3wk>!Q_LTs^TyB+3MnjcCxt1=Lf4xw(SZDq
zYIuqzT$l~2uDH{whwJ2$@jnoC4|D^p9alK|GZUIY-8|X@A{4whfGYYR3$O#&hqBu(
z4x#=8G$9Z3<!{ynAIcC=0CZ#9XD}5(><}%IM09;upO%g01cE2H1_?1p<B$!O)xXnE
zni+)-OD6mXRv3L%edYMTpSb%|Q&ZwTW2a(m)|H8I<!${YwtkES$CMSxpj?9rAN>)S
zRUmkaZV0SJSR0OGL~9e@Jy&9UJpS0SiOkmpAfMmQc`hthk2ug=WOF*k570ad&aj0_
z4^li6@%M^2n+Y7!B%lVP3kE+_d^|+oM>RT|O2GR(e-6?UyB!-n=w}4UXISA@M4}A5
zcr*c=dyN-)XioBD$in*%*x^qh{&1wFm?KP$6m^@opAqg9709`)3xVkgML+CrvpCxc
z(K~hxV6~9H0z-s)92i_?n+#*|9X(_8*3VqV^V~9mb6zYKah|X_AVcQhc1gcWhc35s
z{ou?>d91XMiOv;(juXGMf0R(pgvcYQOm0zRb$ap#UBH>ll_|F>SXo5+&YRfj`W{I+
zrw1e*(yCk49@BQvUK^<m#BRPDhmarzBZRG_uuK^ZcJ=ff4_ki7iT2`lyP^5Z*|~d+
zZjd01Hvp)SwxM@>2O|vv^uO^5;Eu=FVE+emG8*O&#u-7kfrb@Az;fT%7uy_~2QVR+
z>hHV%{P|vtN4nWyNn2ZIe?_0=-M;@ko9GpqPi5p!_t6&1(~R^Gt0Cd1ym-lpp19dx
zT7Y#ydN0u;i%O**$AoGnCfcmUV$o8dcW%|U+PaE;r`LJJ>;3)>8H*fmv7YD)we2yS
zrh(H!@z?N;l2tp$p#U5;E-)rDWv8T&@3YT}b=PLI;>>`0Sx?lnq7SyUI}sdkJ6Twu
zt3%x2)rpjIdCgWRda^FeZ?*y_gjtL|j5-0Q$&MJg!e%SRS}3ysuL!fvEz7NYk7XTf
zQCOLPhClP-+a<+|9?u$R>$dQ4qTO{75%aTK#9{j&o?j*iDvAv9hZrtSD)Iktk;Q!i
z=Z%g?I~<KDDu|DVo()=VNUTY1Z?VPx*w+fXco=E&z4!1iBM==ImxqNQT!j*xcyhBg
zQu1SJ2SCc;^iCB<dT?|Dj+x<79K6GT_7L3)SsB`Jhn&&qr5kDRT>IPCuWyWy4bR3%
z(`-F&r19ny6_fs9E+!E*9N=aN9InCUruWeYqrLU@hs$WAkwV?<_X6E#y8zvRWWORA
zkHDdTnwuZH;pt+!0`Wyj0EdIpK(CS-d5O`dk$KG33d!}dg08DCoGJ90jAxN$ajgF^
zUQL$t%mCIi@K1NWvTcLhRKJqN)dT|!nur${6PL~`E-qG{HNAkR6bt$Ga9FnK$)Mla
zc6e6Uu;kNulT<hAgBMfB%e?}iZF%#{_q5(K8hJb>d008j?Cj|MrlzN%E1G~O7Pjf?
z^^c`R=uAegEfQ-A4=a$}tm~L~{t=O%NIG;{a9$`we)<*D6@z@eS2jQXIh;FT)<k*q
ztdbNFPlh)NnMtwpX^@a$%D6=&r)IX@(Nq~?CLfB?g593)f;a<$m`Zc(ZZYd%rN{pf
zx_HF$f{sdbgvSM=lDLBc_AvEB5@0i4Zo@D8?B(6_QueVP3y*E%`(9t=u9Xn4T0MxW
zg4b8e&Pf+Iqih7Q<Aak!8JdOq$)>b8m{v?+Yr(CUex5gSQ=iYlswaC22*oBGOe;&~
zwu7R_DG#6|fi^Hzb>}R({S!QBSWI*<G@MD2LzHe!rA3iJtf;<<)>j~8GYfcvu+Rby
zGP{!pk<H}frCqGS=4X->Ajh=*#*qbfBrVM{Npsm=$_v<UZpSGtaB*1t+0>w2yS=Rh
zegH7Dq@WUldB3WHX#k2>D5SB1;wBj4@&tkdTmsV=njBGDaGv5R1H82Vur9P9?X8oI
zEsM+SD(lfLIp<;M3Hm9mriHW7t_Z^uHV-Tljxu*cB$#xQ=xS#%R%fXrTSIs!*%O`a
z7wks%qnKUxeF~Of1gME=QCkF;@Q|Ynhtocw-Ss2$0DX>ZNE8`VKr|F4vk`O<JPjCp
zOhTD$`iK}wNKo6^3Z2ZX&B9={hmU`DT-C~N`V<miIZ~TMJrHoy1<v_E2H-B{UJAf#
zdF@};A9F6@DVyu60oHr}1fU&Q2f@w)?;ftkzxhr3uztJnJG`h6YM`pAvkZl8hz5aL
z`#XoC0$s?bnrGZ68E?R0Ld0yV{th9?2|le?29p@~A(b}C#kK*(1cO0iwo&66%cn*U
zzN65Xs=T1J-VO7fN%>#Ipuvq@S($W|0%!&iD6{k?Oy#!TFL21SLfD=rp5SG2fA~B4
zy3Aut)r6zT2bXvKAP%^1x^vWcB!E9))5GwgmQ011#ri>W3KoWZ@OKSX7MC1}CZdiG
zXteP|wAxIJjVWI~7^HG5iM@Tq8!|^IQ38@Tkzb417fL--R?HtGN=!@t$OK)8M^5RD
zh;sdf#4{YUROf`mxWd0r0#EA!oXVWhNpFogQ+MBM|06uicU1jz%!KFe#w8eug#>TL
zVhVwTLIxK&^dbXH>;2O$L(b36!2<?EUaJiZJ9sH9@_#tcnVfpAO+g0lnL&>5hY1(i
zt`0&{1l76yW_X8?I`}f%)RhGAW5vYh16W#c3xq`v?!2cBDKb@)KX%vsz_ItiN}XG!
z6cn%u+DjRFd6k_LeixhvpifJC+04E88SQuj4t3O3<fwh+e3bbm?C|h2_rz3TOhD~+
ztuqrp9jHC)A$MF3unMc2tFgxw=^?p)YgpZA5m7;Ed#>#EaNIt{6>2i*t*r}vIt%%|
zS^v8}&1~Y4Adi8OyR+A!7~T;2Ab0JwR%q4>1CZ1Y+*(2wsPoI*T+9d)CMGBy4Xfik
z_mcvTE#f>stJO{~L7-i5@EaN7sJW#y1Jm-$q9Uvwt~YMvm{j~Ds@Wig4`|op>oF$o
z9EyRtnjz=bTAp@;f-cc1S~hxWkSY&%b7-H`moNB9`1^Zm#{EBx%wvzi!F&J2qh{-g
z9*UbPDX1Y36PtcZG!owGp0wV>7p@LARYL1OZ~KewN4<sc%s$G+@q`(<vT}Xr@J%op
zkV*4Kx^0fJX236plNsAIL<m4YK+A$IMVhZeuPjQ4V0z?<fSc~r>>Lcl$nP^P;k7EH
z+q>=5%!gCwgx?0RD4Z~2`tQkN1ATt%7#ugFrdSN1osr>D&ry^dhY1uADD)>?_Axi8
zk>lAZBFG+ws1hs(-v9;S_!GE)VtBJjn~fw=$i^2k&hI55As@MayU3=T`!G0*X8=QD
zkcwC=U~l}xiD1kSqg4@cjIe?1!OsH<cVr$tkH}`~81L#$V4;c6z%pf$i|%^-g$|_7
z2`u$_ePOA>J&Vf5R~GA>$M-e`A|01RKflo3r>2FhLd}GSdx|?HIbX-8P>W^=>{E}a
ztsGxtJ=HieKf*MKwMJi{c?mLaEVIB^!1fYll+L*S0vuhH>R1@c_w(I(FCJqr)&1?;
z;^ugXfm9L;>v#Y<h;Vg;WSy(&nshZ3Wq(10uwee=VIKU5@Dd1y{QUgzfsE#*7RiCY
z7L1y6_~R&3?z`rh+Yxr;P+IG4pMNN~Lstc6IJ88nrVbAe17HT~4NORs9Z3Y;xBrvw
z9%n8xkXKNMU^X0Z<P0w(hb{(7=3M&x&!o1jetaw<=T9;yUdMno=7Q^r;YQam3a=nX
zR6ETwvXzkrv#dfgGFu=pM#*ma7sv)A?y96zcj=yu${4ek!chhpJpxpA-UkfJk+^QY
z)r>gl+=7?4b92}355{<}CkoUy-$)EcJyPlkNjLI~Tx7NKLxM7FLCKzfj#Cv^9e$WJ
za!>oh$KF2}<qA14XpwyWYmXosAr9Yt0FB06aO~edL6w&1E~kKpg_RcX8RB{QS*ybt
zAWVGi|FF#8{7{@qic%)x4J75|L0lo(!N}7S&L}w4IT<Yu-$g`)P&9MMF_DMRG=!!?
z3JX@YV>~e~4tFKK!Fk!y_rGV|SAG3TGME=*pe1g)Wh)ualCAl;aR~oOVOJ0K21COz
zFB!z{ENH07JFdnx`##L9$2x{c&JrUG8YLzAnQfN}yIf?OD=T&~1*hJ|(VQx*%>h$T
zlFO%%M{o5DtTa5<mR2@J)*tm+L_*>f2M1Rf9<u5oXRsG99LoOIQe3ST`Q#WhLX-lx
z+pY26P^RN!C*kR0TL4gOxr6L)HLYduzVQVp)y&C29^-lJa^J~H3)12Jdv%=e^g$wv
zE@Wicy<P2yA24TTTzUW5Syz;ug^>{xCz4&p#%y`+{tNvp7Hoc-9Ly&_t3oLftw=Nh
z2B*k+Jl{}RB|L@FImoo*#m@a4Ct+&rZWQ}72C6~K@HL|jD_#hUvz34c@pt0?^e;l4
zeC7-q0klN`GDB8!<uj5-!8u)?40~$`Cm>#AQFb{0@KN=U4f^By1Bo=~T!QI<!;K~e
zOCY|_ff*olP$@vm^x?zpUWfWL(w1itUkDf|OzpIb`HjsHz~Lc8Hd);$T*^?6cskPD
zc_H$DT7bm<gt#};E0tP7vYDm-9*s>6Fv@d9oDK_lbH(<O!;5zhdH$TtP&~2o>SXZ3
zt<+tDo3=f$+UI(S`WU^3o7#DyZ96X>Y}tOEr(h&$;E&7MWSyY5OoEVs-~T{0Hy2Xh
zbQ3_%%iq`g`ZMjcch0M&%Fg-pZ_KZ5jF01?!R9&Wl+e6b?6*=J+c?URq`K%=YQ~W{
z+OffSBY3n8n-lWteBRYq5{d2s<N#~MVhg(`6VDviV$;!q-X9&^f?E(W7@q;NvqN#C
z6QLKzcRZyl5!*-|B%T*QzIX@fNJRnoudEC8b##s<Mu;{7v_BXJ&{LTeK7v3?>Hy{2
znLu#x-Ym`nB<`O^imSvLBz#Yv-xG{GnJyDy$q7AxOyVcX($7=mRLW>Kg?e_<1t%`}
z{#05Y16qO6Z~g%_LYvnlhZszLdGJ<J$2LA}u)^1*w|7Fuo_%yb@}fMWyJ~jH^|f3%
z826*p>!S+(AgHk5%ypkJ1BfmhO0rAv2fiOXpm%ag##wi7dAIuQCAIzYD{G~u!o!<s
z7|b{shd&|cBvp8E#b@*n4tTs_f*MhRH#l}dN`Xs=^jJch=DxdGq1#pNikjBr(?TOH
zMDDzqB~vtaS#MIy2(+LAJWw9LZErnW5jiCq#RlL;;?XAZgl5dR_ym!|Sk_B3!X9{!
zpB5jm84c~|snK1Syxo3<^PzAMVrJ1s#B6%s_+wxUIIDhr|2=iGZ}O~DhjE1DbB>za
z8_gS;OAyqE7%b>|QD=e0FIBkD$v-w#SlXfI&3<ymz?WcPNJr#z?NZ;he_$W4W8B6X
z`dphUoJRZhxJpKsJ%Sz2MFHW*xmZ+M>iP2>T|f<_*nbWwF8_+IF>`c{5Tt#J*kbK0
z*Gjj|@-ga88yg${!e#&Qty7k2tH8~iyZ$>jZ$kjAshLE57;Yh}gQ>zQwx8VPg0m7)
zvWm5g$q+^gfINj=y*Xx|gQ*h@<1>_*w?68cD49OXsw%^S98cC7W~Z?=->P1R<2yG)
z*-_k$pdv{xK;5|=3`{!6&Sei%p6YlZrOt}y|Iuk7vt%S`MMTAU-o1Godw-BKUvW1R
z@14Tyy*uO$kJ?uZIC#k=A>8X=oO@CSb>WVVowO8ZvWq2m@R#!B@}~JcmOpz1hEK5$
z`NG5gipc(__Y2S4RqPev!?rN)S|VOy;aaxV_v@wkl(-&Qt(nAepg%5U#z`X@#OEd2
zC={*X&yVfdexT+MW5H<*<I04zP_V(ZjOlXcw16}xBOB^a^x+$^K17?cC&@jvf7(rU
zhwx3nI?dKwKOqae+1g7<$dP#aYI?|V0AIg;L5uCSJert%tN5t0AZLuM52+R4c`i&J
z7`S6L)Sn;6s=i-cEoK*7x<8bW@MM07R^X|v!NIulK>-iBq#Cnor^kXCCb<_`sXDXH
z>43NywdiCv(|3^I#ORf;_sc_pJxo8xtIn#Ip0!#y)WFE-v5&EijuzYTw9T}}P)}M~
zQU<<+<rtzwgB<lXm#Y3vDW`OF5CX0I2ZtRg<;b^+C48FjZd}XP126*b)S(tR9H0Dk
zYslJ4sjOoSR|i#gxqjwnnD{rlA_!NE5s0IAX??hU^qQ%9i>a#L;?+OLH>eM9M`&r)
zLe4d?8%O{CAbl8S%<s)4pk%{WAFdytftqnFP2uW%UK0l(MICc76C!(V_Id1ZH$B|l
z7!q<j0^&IzX#;d#6S;_aZ|8kbh<W1{2jgTSplrt;iSotMLN<OOrRJfj_^MQ}B0wl&
z%pDN0S%pgZrYQ`#&DIyR9-tVDWx7A-K-_8A<l|0@iHZ5UWD3(GzLb1Z=b!L;%NZWP
z;us3G*z(SI&Ks9r`nms7o}sg7&Z)LBl%ikE*3pkiJTua}sA8r6x@`=r->mzK{`4h&
zDrKJCM>yy6Zc<Ay(p(obTgNDf%U&ZYZxGvn(kOhhX1RA+apV9`|Duau1A3K#h2HBy
zKxN!uoHJeh$+0mSxjxFW{)43wV(KN&3L8ng;_khnzn510`8(~UwAe;QM!F|oC-EV}
z4xGMx)h5#C$-^C=QPh1kX{4j0qh^kSD@9ueit|+A-|cB3e|}c&F3oP5q{!(+V8X~U
zvUKf==yL-YcFGM+-^JipQNgsb1Kzo>qO2RLS}-@R+^Av-K?4|B!wjMlK8eUGlTlty
z(#@t;>3}F)%(&EL@I909s0C;6$TA2tTks)x@>o?s^5M_)<;xdLTe=7-A0Ea63c`_!
zB2^fzOFILRstYF!vQ9)oe_BS$XViZ+edDMcyMze}8bfI>?qt7pk5LLh%F})uD=8OW
zG@lmP@pTZO`9H#^1NV1h=VmU_QCk+;Hug9nfpX+n;5|XmDR)Me5xQ!1kd8txM;F*b
ziP4#B)JXFH*Ct>kl~C9vs?0j0$D!tQ<w~QCB($>f;+yINRw7b`b+dKY>YPg$ojKgO
z&$9v7wT&N^!NM9PNXK-!R0^=4OSbd}vVg@uv+j)CGE2XQcd+~OW4w^z0lann`gL@<
zs$5R7A2(~(U=18_6mBell~Oh_y1`2E;i+qE-MN+%_l{KrxJ~lX1%3zRo}XV+AgZQ?
zSRyf>!~XnA9Q@!tTUx%=?uc!9ckGsMC@u_^AN`8M?llygGyz9M2nUO@P2V1kEpj-$
zpS0Tr(K}Qe%kG~ZaX#YDUrl{~WLb4*3P&L&2oxfTL)@hN!+d$e&C@iJoO2L_dk+M0
z@bA=NrF!NC1r5m`rSyzbnbn_vl#82muCwfd&KVko_>ApHOsT1MG7@I<e?uE{DcSS)
zUdP|Z57qoQ{%huU$5fp_W5K<zFjJ%y)0w!*CLW({!#Ri#neA{|t8nANmU%!^QGz-;
z_;V(am0G$Nhz77Cy%Mz&P+yQU7^rDcDVuR-^g0Aw8vs6z=c&(U$vE&{R@Q>2F-Pf-
zv@sQEO+g$3{zif;ybVZnCZ*EA(ML<w<51jg*L$^b6;=;Ae<iK2(PtI(v)f@8htLZE
z`oejEH<FG(eAamF;ul#qW>^Z7<5QpE(TMc^wF?s<;m=&3!M|WI{rmQ~!rc9%S3Gg}
z<1M;wcux=!?kK3NmH6CPS1_@-2r<JED05!<A7Dh}3jVl)8vbWQE4JO`zYR>1Im9-e
z#%n}3yRP6xpYZDyXNVIVih($exj?CSNk7BZQ-V`9P3zoSh*Ar?fH1e)VR6K*|D96>
zy%C^G#$4!^&1nU|c`tZ^7pv;OtS`kI$(Qaj=76CM|CuQJJ~sM1ajF%?O|OE;Q-vey
zEd!xl%p;nNf8ETU7$bMT#;@^Z$a$=`O_FKd4B5PUqVLoW$hcm)qN4*wLn8_&qxmCr
z+jp3Ot?0D!5+{4V&7EWR{wC5e#ED-@ES5nki`E}kG9-873&FJm$hy^RtIp71Q^Tcj
zNwaP2L56MTVag>HjVNfBMiiEgL<}Ywscx+IKWW*x^2d-*jn9W7-_j-hMfv)_aXi21
z6c*Ib(W&7F3x`Q7yPf_hoJi)Bro>e!SI$axfH!h`@PNz|B4NbQ_#<4}>(FV4EtTjL
z)9fnertF-)==smz_pYD@$VPL{XFjbLKFUOt4bqBXe{tfeFL)u^=um9PN+n^dOgk&b
zvZCNs>2xqoR9yU+r;P+B#2nZ;CAsoN8B{Lj>tVb7N1R=zmF4;QT4J#&6!DkzSxf&!
zf}m0!jZaQC1vL-xnt=gD%03=uuL_gQHmLSkO3dFCOknrjtTI18k8}FrMH4hI!!$v)
zWUbkjgyX8B4={LcPR^M0GI#&qU@@^z6vNSITfoRzf8g1FSHI;8-78|TkPGxWa4ZU=
zs>Dn}&&UYUc8Nq%rx9R!m$Kd+IY?&NpU_P2Pp0q%-?6p`c;mm54xor6xzcUn!$+}*
zKR^Ev9*LSH##h4uuGs7$-a<(gz4C>lPagmtepHGv+fjy*a>}&~iQYBIr<4MGNlt(u
z6>^2|U>o(iRA_4seAZEq`Zeh)vm>lwpax>np`lAUIyVI93$DSkH#{uVl#dI_Y3u<m
z0EART3F7j`TOO{yJ@^)#BM6qIm3rrgmcOQasBv-#-|%`ALLqw7T;kCnfE-(5kyaYF
zlS(*uK9Cg`SXS0s*Yj95($6Cq)~*PtXSDus>ud^8mQ9RM-ASBT+3mlNe|oa9BCWOa
z=8v&qw^Wv7W!jY3m$o?5;N5x5YgqdF_4|46>~^Tq@(z7)>Zuv(BYnDZKd1s~xTPJQ
zW&L)P5f1gYFz?)cOHWj@O^N<Xitz6rQSD{LHkjd~1ZU;^VBpEg*)P9xD7F!dLfT^h
zkWd2Z$7Htc6-)&qc|!GiiP22016BxC1xTw99fgcRR2ev2y*j4C(RsMB;B=JW(-0ME
z9DXz@S0MI5(*c#T_e=mERSE<BwMchLqR-nV%&&i?4_Vu08-y$0@q2N<Z&}+|^?f!q
zBCI!$?l2ECVRqu}ndFG9cUoW}9m7l1{`^1%L>~T>VfHLK5&=dTx5S?@WQXMRI<U}C
z#$3Y8g+FV(6T~8{f#-x(@y%$#O$1C&GAAobv=LO0Y$D!Z`8~Y4*@qLFBh=Gs%*ceA
z{P`a=UJ9ula4p-<4!HPM#!Fa%iww-qzDL&0+PZogdH6KulARf(y%|rXXd|#mcRAm8
z4c!%if*QziVGgNr0E&BoZ8z=PnnEFsC^KnT{IA5jeu&BS%B!QYbwpM-3{r?566M*f
zA|Zf@4v_Qp>swE6j_Au*jY1w8%qdW=wc7!jI?=603sCG$^uHRGx6IwW+yTwjwPPib
za-?azUR{`tBEU9}(Ls_6z#$Z+VQTs@%AAx56Zkz3#-XSH-L)h0&DQAkct1GXzt-D-
zL+|rNzfE0DN6-2?ko(MQYTG&DdIm%MZ#}lxK|Hn*D?OW9lwi$J*N}5>NJ}I(8qOvs
zB`s~tmpS2x`@wG#G5B*<<`E5MFDQ;^QlB!5U)kZ*`mD-$L-|^Clprv;JE@$^$ScWz
z*>oq>{hfqJXe!>&5+ik5+?}*40Xg)_to&>~Ez&Aas8wkDRJ0z5xgdE3qvL<&0v#QQ
z=cRH1SFN8i4(|YM3T~%C1A7MlndszIDglVJ;3;nuuM%yXgUAL5jLPl7HxTt7QzS6|
zJY%)CKP<jT_Hk%#YH6wUAT9SbJsi+!BD}1`XwsECgAZ;hQUWWmv;xt_0)XwTv=E@c
zb3VP)I0SncfFN1{M4g_=T<{Ko3WPBK|45SEq^5<?GpmCbCiP?Xvm;O@r`^t<ACjrt
z>*sZf+5pHfx!>ofCB^!fO{XK4c;{xYS*%cF!WEKX>n@M2c$|d;FFK*XYCvweyBxDF
z`KIEay`dCaZ9B6{vult3x@)ZU;7lgvm=h7p+ct)U|1mF}zeF5ft^<sPfUs>OwRNb|
ze@7f|x0mur+QfGTUVmDuC$o)qMeOv{@;w~Qr&stiv~`+C=9j$K9+fe$R}<gmmT+|>
zr(-o$aCs&GjvYj&NEe`5ep(W4dnXk(ehACKBgjkvX5Q#S7*XN)Xl!3`eH<Od!jV67
zH^7AY4NCi_>51+P1gg+wKegZ)pP|J@O?|LH6sx`0YRv)S;5nj>l>Fi0j8tK>Rmi-N
z^58B<L;b9O8i*KPy|Ngr-bcT`oua|}u!vCY`4@C4slrss5J6ZM(uG+?46<`@OzSC~
z*V*P-;+{0(VWPzrn#wPDtm>!l^llAj4-b9Tz%iG9e+MIpUA^=(HQjcpgvlSmL0H{v
z<6ZAkbP|GN2}YIChCRumL}o$n_yV-TTYOj6rv3b66W_L!E)QS|C&C3EMITF_$-ldm
z7@j$sb_}|f!7J$^8x*n*EmvQkkj5Nt;^eE;hI)GE*e=QN#57*2*wzHp=iv5xMUt8c
zXEJ9@s`{%&?B9{nopiHzho*u^mJB!NoGAb_1N_&XWo6A5q-dQ54l`o?dX8_H_YP?}
z+ZA|M-BRQs#nDmy>31QUXHGB%sh~~7!2z!@u3($B{^|V^g}Z5gPBq9CA5PY03(6Qf
znf`NWrRDJv?0;7JaM(&L6zPeYQMcL^Nl8iR#T<@1&7amMR$&rp{s<|@gun+t;*Wxt
zS-<hxJmH$CsD_W;z`&EWv`4~?<-gl0P_O~e|8s3sEeN*;XWyVWMqC_AyE1FF1MOW_
zta!Bpo!`H2p)$X8DcvB4=&T{q7uy;~yNW8#n%JdH8>`|>;aeL$UL$iN>ZwWYrf^f(
zQ)PIzP=V_Or_x7<a!<~t+ORJBm+f{CqL@D_yxfB8BVY8Wq9O}9nLj_Yh;XQ{V2fbZ
z>*nL|lzU?$73Q0zhWiQ0md(wYG7x7*3F3vU*@H`k(F3MgBn)<TzJVSBu1tr%@{)>*
zoJ_~*Pe(!`=6gp1Wv(Q*Y~m7lSJltXe-i-tj#Hog1vPRj7UMH);n#|8AhHfZQy<HF
zvAgcWf3E*r`^SmURE3#aEa%v6AmD|_aFE!uhZY@nTaWVzl5V3%X~(qKTw+kC3<;90
zL2)-+novc6$%Ggxr1nfE2v?{qhzP}%hbPevd6Ru;X$Aif$I5A;_>5LbJdc1_lUBH0
z%jBaQ0IEsQ-F*A={Bx?0F&*OwkN-TEJ`$+x$JsLf*`Fr8L1IE%g!-RRkpXtsm7#m`
zs(8)NWf4}#&dv^Fc#pZwv+win@?(q2pRs&96dBy3TS8nW)G9M-A&QJd{gJ_*Xu1#2
za5-ur=#~6aObFGSDlo*xf+)dDh5DoaqAqy=G5ohM9_iT8!HjdZ)p+*-mV^IYId>bZ
z=2q5lg929IVRp|*I_ie@1PC4gQ*4d!t*R<7HxhYBrTi#48BJ6VPYxlfi=m`d@o3pn
zT-E&6Kfjq=hMVGuYoqinTJ@eRa0`GO^Q=f}w|gi^q~SQ%Gm)0pP0+|=2;Hp#86Gf~
z6`!y=l_)_g6O|KW6K-Ttf|%p54YMbW_{~Kp6P<}z;&7RQl#%e=dz5`+rlsp)9?t0<
zmcpUu*&sxJmPPM$2^gw2C6k60n=-4?XcpEI3nxp<L5wGGB7A!Po`%ZhhU|`DbN8fJ
zLAp=V&L#deKs?*sT(x!JVRi(%wW9xRMy{%|k~!JU!C}gE&73~~wVktiUw-78R`od)
zZ&txj3%7%$CSo<(+jRmzyU4D=bo8{p9r^*#f(#sD5C<Pi>amd&!$atEk2Ii}MKAy~
zZ5%og1vCp?9Z`rIdvXBJ#_R5@5^6?9MuEe;ot(FHk^B(VY%L&1A@FWq?!m^?_CI9)
z?8>YN!q#Fd?2?N+{c#A=h|eF=i(MZ!UV?zcx#UC?RrGI!OxR0dC~_B!BG6`4t%(KC
zb~~LG7B5LGH{cth8_?EHDkRMkrazrEeZcFxz*L8~kjDA6)|)cLK|#2S$trIT&gw<s
zm#CrglH+ZY^nuvep%`L^wlTT8!Fx2$mly>vD(g9oz79F3E@gPxwXu94ge$paNqDWu
z(lvkt`mA=MPqpEzz0@|fe1jZ3k1{;LwdQaZYyDYS^XI4aC!<lVFafuT{PKvwN?>B`
zUZaC&ch$fA&Y+>Zv8b3z4vlwfWUz`r#30@rpvW>j5Ix3c+)~`a_H<qj4ymd7<8WjF
z#&(CYmNgXvECjd}MMc1kfw{yt3#riF4RZTnoOd_bI8h{Y4t9pgv+KXkqM~O8DZVC^
z-plE+CZ15YV{}3mYT-X!pF0ZU{<OJRf5D&>aq*;OA!`c!N36K1FHCVaQnCq!^f8|?
z#F=8lh2M-209yO{`a=1K4c*puFKI(Z<R4TWYn549KP)YayLW5gYV+-s|A2uetd2_g
zhs-C3;$t`F2TGg<gHwg;ciw!S^>40GJUi?6g6GKau!+wC+FDwY6<LN=5M-L#_mdrI
ziixrdz0<xN|5hF7ynT?N=j*$EJK!Dh3D8_Gzb8l+H!9lbuYtK7y>rl+`1tHdHCehs
zy-VXDRE8Af@fnx&b=h!~V-SXezDzoipZ4}aG_SUeu~}RopdM!bN{CqbY47dJ5Izam
zqqx)lHB9Bi9&9ekzDpyD|F)iJFspy1H|A}&(xu|5mnu<DYX>j`VPS}Fc+=|;np$nW
z+Q(?tGFIH@{d&Yui3Y?aW&o^E^UGMqu24C;;fesbfZ7@LG=m(_V>qZL8h6M=Vb#{V
zFe3+dn2Q&k%;W@*q4X_xL6C1Vv5_9yBm}5rpVGUFxgBZ3^s+^0_Ti@uO;vjLEGtV=
zv!$gapso$23E*bI5a|5w7)R6EuG*%E=!}#WU+T5NOKg$#e#^0b+cP4OgT=|HvfVwm
zgVIk;N2l5P5ZhVh5W)^+Cc&~-P~)}1eq~mS3r}wA#SDR;*{{n}KRH9Dt+P!wWgs~;
zl?XQ87+~>xmi6(%sZq<zt#L;Lv!AJ)1>Dp*y@aRGhb=O;cQHV;@$E-_Qvn8l{?MI*
z?vRX;x<w(wB{rsUTrl9S5DXaI;3$JP6+aN7OAbhU*h<}c<=cc-)YCNu|5RZJ5lnI$
z3m!LHUmH*BE%&$(Glbkw!!rj7dEY>ilC*bmcX<6E0|NtXiglsK+P@nzcT=B@Bza98
z?O#S4x$LjFf$pVcZ<&ApN6l<4?7}aGUgNS}wDD>^@T~ac)bsp8Cibn&Hgo+L^G67f
z(a~{x1yM?bk=Pzuiqot7Pr$}cZvQ;wB8wnTwDN_k3u>tNi*k;D!E%>#I2dOWk3AcS
zQG{J^2voJNACXCg`ebhBx2y=g`Cu;vK*+T$XDOt2oZIazCfxtw&S)b5^xrt=W6RKX
zYqCJz4+9Nwqa0n}1d!DdDEtvflX;j^-oe6rtC_N89^r2g0<_w&QVqDsF8%p~4Gm<_
zqcfR#Z}2ppvkqbX>CtB+`H9|)CG20ibmwH3Z80An^p4Mp-_6JwK|<^YWA`o_u&A0A
zY=<GW_{C%shv%08_cy!@O~uBGi9gGZpVb`|y}1vArcG4@r0Km-3@9z#TD5X^bUb%w
zTI=7q7H{<>sX$H1z<Z*NIBRo{;itSO$QM~ZJy`$W@pK!?8{Au2S-^V1W`mcIaq#en
z%dnNt<)#u?+yD6j^_8!LoEO!<k+r;khFYHVuL^s5Zm;m8Ud!H~-@m7oMJ$DzyBk8=
z<QBf^M;cL&jZ3#u9gvoGTVM5HErn8<%5q|l%MM2a45k$o;jBoa2u&STzm286W#&-C
zAdz@XvU2k4tj{E?a8yU|?)4maOZ}`VF*(@}`N*uqg%(0Kk7iEgDlI@yZyX0GPMa~)
zeO-Hpz(hgkcghx|^{T`RrVD#1j8G=E2-ibk3%VP3h3>4Cz;Qm{h{A(lb8EvI;ZTH}
z0!<tCHA}zEiYn}~%jeY74n#L7`Q&BTf>2_m>Q!i+UJB@`E3nUQ4^`cXw_v~#zZbyu
z-v+oX1d+fEN!*{8KBFvUBgK<_%B+FycBst;9QuF5at0RY%iku9DX6#~ZSOlz1DVvl
zes=mGQ0cE6$)g1EcEvXC4*iMeQ<4jzJaR1wr!#hZ*{jS-a`~W0HP{?l(Z+(A`vM=A
zOng@dRW|&b46||sH2~a2W_=D*CXGXGEdKmIXWfeohGY;-31%c>5O;!T<LA3APCPC1
zs0|wN$Zn5s9O4Rp58C)zU%5x2<X`dJ6u%A4KYr^~qZ=hRPhPbu?ncPP+1wW|Mn^Cw
zVrU^C10?HRLfF3oAFVx=vLlbQqN1N@>kiVi(8EFN&#IP>OGbTH-XJ=6<#<QtJ>oMq
zs}ycF@-!D(t(Is?ULQ-|a$@cG^pguEe$L;QIX|j>RxG~-p2~M>#COU)`62cu7^pgX
zdcJnt!!wSVZ*)Zn&~(g@Np5Bqh&K?7GtV#S_g$+%;0i?QjRovsL$BW|Blb^FL$;Jm
zH@8FiRhy>hp*Y6d5g4SoY9$;W)eqv3b^B3~Mx=e+{JV*fhMAIy_kUUd(m5)M`u6)L
z@a&_Av9Tb-_H!gsk=eu5Q(WAU!!hrn+2;DnzoZuem1YS>cf7_s;xmq=e4hHr>(37>
z5>ZNOK#cxmLvOKc^Dv{r#p<9&o2070^5LjD3y`lBCM+gU@e;%a76}OLkRHcK191dz
zWYuxki`Y!NCnM@C!otEx@qH(vK=AffPEFY3*t<Raefk5^hMsHN#J?ulo(5;3X+n9u
z@JEajgsl}$Sb)^f7C51_6?ZD$?wCv1ppWuY^MUzBG_+mg6HbP#7gLMJ)r-3_Z`_^k
z)r8X8AgBI@R8s&AX%9C>SL}=^7jp>41PM+hx;t4}{J8B!Xem@3Fd2d^_U9-3@cTtY
zLAeH-E2*s@0DSfNSs%DOnv;y$UV#G-R|k0u^OvB;zaN_vY1!Y;bRYe&icnJwKewPj
z>3QQs$zF}06YS668wh|3ChUt5P|;=H={)c@2q|ClBWF_l=1r%azN;|$j9k^eau#7$
zPZIyVmN6@8m|y+=ol8dg?Y<wr-iH6$d=VoARe9o>f#7p&)GR*8JQxv49DD=A+R5~t
zp+Dgh9}s_qI|7&b@UTPnHG63y8q7r&ARAb6WW!*G#v)FoIfcIuwmcCPSn~O5A~fSQ
zeASRCwRV3c9VInAl#kDh^z=N=u)Vjmm-a1K1_Zpo$p&sgkQjjpT$KE&tMWch7dMC*
zg>U&wgGYw-dqo5;jQb~EbzjARUxb+nIXTc(+P^+6L}`K4SP;>t=V3#(k+k5XX}V#y
z3q@b`76)v&(rlqo<>}@6H-N@=)Z!vw_01bj`XKNuSpM7Ge*lY(MnBO}B9(bf+HYRE
ze|1>8ANhP^F7YSRUBkkD%;qJxkW27JV#6-(MqDHYB)cM^Eq9E>P%IW)E6_3@P@@!s
zdlKb=K;zuyKz>+S23*n~-LNFlq()-yb!HMbKj4pTF6397kQ(8<j&Q0}UJ$&q>jS$O
zNzY9$oWa1a?TS7YK(9op$sq7f0`TeO-wU!6e{ZMK)*U9{o@c#(Zsq&;IRuCB{2lxc
z>|D!T$!lHm;g1e$2H5h|J4sx-Cul3dS-l&2{?*mhwB9TN?0a;aJ2aIOv;(+u5CtgQ
zwk~Wan84`;Ow6~_MK-+7f~S5gw;TaWz@0aKZ+G$Ji>&3o;o`&%Q&(@yK^L-_88ie=
zFLh5Yq78keSb{OSWhBx><}@ob{hfV%-z39Rh1In9H=WXH@8Xr&p&vt9h=)8Bcq0R{
zTg*RGL;USspEkL)!a9qiL09A<(Au6J9_@L#jn#S27jF|UiBJV7|1AZTJMA9$-v%{x
z0CNYgNUcPwus<h0dpyQp##}PnZt3%##>a17V#H1*z{4D{!v)N^Ygu%Is*cXR3~Ufn
zdt<unaf0yQ;tvGNY9ooNci*c10mtfw?nx=lHjq&}Yp`3FgIr!1702UuLa=%lt|NRA
zyS~xLKUESm6x^bZe!-D>=of$~b-4YFws&w?@0(uh1F-acd_h$U8FOu8<!g)Gxxg8I
z|ITV0`o6|a;D=!j;cvM8`H|!VXxOz3f)zs5O*5kgx&zGTN{5*Q!YZGnV7nMy1lnzu
z1S*0*;M<ThQ^>JE)?W=Nes%|EZ(di;`2@W{bi*JQ<FGO%iMV<RF@m<vq>HRv3wkVj
zXEsH3*HCi{{Bo4RCzF1Dz@u+)_C(ZI8%d<WLk&y|tpI=EAERh}7(JC)LsMZ8!V;d{
z4&2V_pcY#?%xIe$9}utTyfFIa_~{rY{A&zlI2pkMU(pV{mtl)p)6@B|$|!{V1S#<{
z<-!WBnW8sGg|RBZS|ukdE*=mU6MOq;AUP{5N^m=UP=v2_b~~UGd{K`6hU^0;qW~_h
ztX0;S$$0DP0u4Vc1fB0pe3t`yc^=NX+e>f)6BIWtwUXdW@}AQOsBs+nh$z<-K3AoR
z-{ku|s`?c<8Ic<fj(tZY>wj3D54q3{WFobVDZSxflS)+dOA>4#1y7t7YJ-rAv{WC~
zr1YU^+5&M_uS35RU6kO~I~Xgl1>tqT?QMl%ktgE}7O7YtL4NYkyrugpach@_9Pb_t
zfWfy8))#;)0AMrilu2Y+E_fmp^2?VkR4wCPMw<|ptGHCs0?ELIBY!qk`711mx90k>
zCN`xs3yB<7$L0AQqIOrmJG254O+8l^B^a<%1sq_+7pQay;X|P6m(+gAyzF(jz=rlB
zl@!*NdDaX5tQ5P?#$0-IXjdR4O;!CNVy{Bf$hsqsxdtOY6R@(E1aFfMIq6w2L5dS;
zjX9@tn3cBrf-C%9avlY(HaEpnMS)qx@ZYvB+#8zO>yT+H%gI<E$`H9qX@7g+$tUdo
z7*bJq2E8W_vjD&3mODJ@{@faIPjlCq-z5A7K-XP2mn{llK>VaSd`xosb#|s(L
zvw1bzR!Kbf*N*0l?uwlD`7Z9gqljko7!Id_ODTpFH$-^q(Wss$nmvA<Rv_5CI%;V2
zB1~fVFhwjspFZ<9N#`J_|CSbT!MK*eDeLpVR1G~qDB1h@Rp7e;tY{q;j%}1{!K3xw
zA|Fx<+-+UEmbkyzuP;x0+2M<OyLRBSbzv{l+Lr&Gh~8j+TKFx`WY**`3sCtS8FS&<
zDe%N?PvV*EtdCAcIKA0+6A{)3>7cwtrrAa?1OT@9hpsF=eLKFOzH@VY26*~uoA?ZY
z2f%5Nyq?F7-en{(*cExoC7lz-YsDFCi-1EtK*Z<SsMDLw9@7q(FAXNi>)lkt+T7jK
z6S)8R+Goj0@az<tZG1<O>v}Csg|Tb@2Xkcxr$7DjL1GVE7d{4NjAbVKdMXwnLjbF>
zgFxQk>P-7}9*6+o4(u2YGLi4)*z8#)6Om?%TwNf#!fYp^tn^)9TQONl<#uEXf1DLc
z-eGCgaW(Pxz2hRG1#jNm-tm-ICyy++#%zij+8+<7n}PO1;bQGR>AC_A1$J5iN#01@
z<0J@Q$i*D|8!F$%7ueJUXe}HZn0fM-_ALe9+11Go#NV|{GwK)iB5e`)wOZ_OfZ=oI
z^~S-1%UiS&y+cTp;bMvy#1RMaV{y0RUExq137>s7qteg~HGVl6i~WyPYK&t<`l|xh
zbFb|x>s`N6wRokT)0R2RRkIDKO3O&Lw#bv8H;o0{*Ll`NsFX2}Sme{z9gxsaTJfS&
z$&hZDKiA>?=#>4nYYhJPnyshbykAD;5>N#}4UGRNO2M2D4oiz|A#&qyWJs50=fI6Z
z%Q4UwyEV3`wT>@9DtDCoKOx_v71*GWF9?}?uLIT^;gc0698?1nU4=9O_|%zbC<AJs
z@WO)nXg7R1U}uSTPkh<_b3efrWw#?AXzKe8@cMTq9HF0t+(S1Ts1}J)+8#_k3CBDv
zfeFntuR%JVySBVj16rWpN6Y~nPrCMptSl(0uu@qSPS!(J(NVcrbdTF-!B2VEFTTg_
z$>&4aqlz25L@p+vzUdVPy4(pvg6E{TRZadaj7pi6s-|G#+c)-lr&30Ym-xr4tL5F3
z>}pPuTnj5}gp{>gO$)e%^@L~ic4gLktgf5fEEOXToS6{Y9Sv|5-7eCf?v_mdw-fI=
z5rrp@<e>vah6y|I%x;ajWpC@k?IPbU=?9x)T-DJ@xz8|Hfhq$WWe`~`gigytED|O7
zJd6IQ5w5Zm>Lo_64RXAM-jO!O`J0x7U7>Y2eMB3F=RL}L(dM~5*kg6J9`qDwms<Re
zyv<h&yKwn8hd1*XsZ1NH)Wpe$GF)uk_&Z{=Gli&)tH1Q5I8E`6`6H<7KuvOTzxV>=
z)#>mp%!U5^-zOI%7B-SJ&3Nk3CIhUJl}e_)XNxgeS>dG_G%b=A+_=*;uk)e1LJm17
zgq|L`rtQ|<Rj!nL$76<|aSm6XHv7LBgO>+-6F5xIWSV72!}?xa43+rDk0(j62Ta{u
z;VQ{%i;GgP{K1@Si(D%1Hq431u!YRY%d49tsoF7uYWl=87ucw;?+Hy+)dDAVCbMm1
zKE2IWBMJhK3X_mO;(%drFwtT$2XL0zra`DZ?_JvNBJ){$s=n9r$ISBoqv^Wiv2NS<
zZDb`RSy@R)LXwafii!}KAt9s)**g-li;%3$hN6t@Bnjb>tP07>PWI?`+<JfS=l$dP
zJVUqpdwtLAJdg7j-tbjAKHyK>u^=RCx}iTx-rXsxzqfhJXvf6@BtYHQ%%RU+`66*m
zma811p}Lo5O1oW7fs7;G?Jm3Mi4?<~d&#Tr0C{2#-y4K)*ikBoItLyGnmKRUF&95N
z>g0Y;D$T2TXl`<|`j&@84UuP6=7yQDpvxF++Hccfr=9G0m2C@F5t_@M-d-I&__eL9
zctkaj4bD@g!_sAD2~3-=iI!m}B;ObvdgWJ-r7#dwDqy!bJ>}m(dIcf*+x0r;z261?
zErsq}4|<@+hnX#>1E+^c75x3vS)>hUB3rC$%enWy0!5d|;eEX}%+fwglkeJormOw$
z+|pRoU#`&eE(oqSTe)vmc4qgzSUyPQ)nh#?x$fwovOSt?7%s(vbl`T)DgV3EaudkD
z#xytOnmp<u=2bS_h=gzK%Pqy-zR3HI|F>Ul1PvXS^cS8i;GL&RCt6`relS`MguTkA
z_p;5tr)KAol#cp_F~!lBa^FA1bzV_P8_@>agHOO$QYOVN>12mQQz3DOTQ}$*%1xd$
zZL<y9tG4>1Tv3;9Wg+vLH|E>^Q^4R^X#p>)$EF>xHhLELV|T>Ky@#IS(p%dw5T<B1
zlWkRQN@%nsy@oIpJOv14o-uznC!q?=?V6ypbg2ZX2rU;b5zU!hEo;}eRl4p%KaNEg
zx_75Cy4>~Kc22pRT@ehfWX_jwUjiKr`}x+<j=y|0Wjnohrmu2XkK=WI4qgMj<V|mP
zY4fQ}!PAn-l?lMaj{LhS4xlvINZ=g?s~k@DQ~?MLfW>IQ#__fq*4qJ#-hwIdd_Zg9
z=ZInK^=mjD;d-K+k2IPYcR~6l_B`3P7~F*(!=HK7Mdp(DG1!m1WR+aR;Dd!=aKliU
z$9#5vzWMwFc(mi5*RDkjNx9qb2I1N;eW9-X`TRLKP%AFn@XAczSQheJk;!+7uD4jJ
zH(Rea+vqftGhI02U=-M~xVC|z6f~CQL$XhmGHwZd-gkmQ1+MqKy`<mNSmGDgwGeM=
zT{I^PgYk>cFGfa}`+t6Zd{+&VD!NR4n53V~e0BjG3S?lcZEPZPPy27u;+hK8Ue-~P
zhG;$yECF$w><dC#3dtwQe-j87$)u~7d@9I(12+zBO|4xM7mba{=<#;J;R~>7V#~-`
z{>*B8#jx_hcE&}<EtNa$E|&M@6<c2S*cYR{4n6@M?lCo3W`wGc?)`kdL}?m07{f&v
zzHW`VLmu+%5#O@{^Fyc*5!KG+RS4@yyc3-go}L~vWL29&o+Wqj4JWjY?mPh!ocRv;
zlMFgy>Vb;g_hhix5>QdCt5vUG?^j3SOlM1LdPo$XdQvuSqzu8;-5UJo<x@kPo|C<w
zz2h^3>gC~)>OeIg{cnR)Fh^X}U|Umb4i9J$rtQxl3ePa!;}M1k(6x2W!W|q%@WdUy
zMqmMfJmAity7+(8%*nLvjl8#ve<xH0rWe3JKH$s3%mAi$hRN|1O*m*WZ|C3Y9j14n
zEg7Y4g;yl9<>)BL?mRO!M1rJnP@AI^kl$HyJ}RVzKp>0|R1gATTmg;<z4riF>iSOs
zNdB(7HF`GbiSRwiOr?>QZB3QB0d0POa(K2a80w=QTDPayPd1waA*CRDbvu*npp2?^
zkgm3#-ub-GhgyODU?3B^|K`@+CGe(dqOr9OvU~`eU@$=8zYq`hL2O2@VgH`o?<sQp
zthB4%RX{@-fZPjky?h4L3+>PMAqH}cNq`&7#Ry)>xN)zSU}A-iahe3*fK((||B32;
zsN2zDzN%0*(8Wk5g#d|3!N0JLNIZK|4@}!|2JjO{S59Yv$A+RPbU*Nne-N~k$b5j?
zqhvDZa!GZ9VWdT+o|SZajzcmfXKHC*(uZ|qm6=3>a1#+bF6UV7YUOq6dZ+OqqkrS-
zyK`*~3Y#}jr$wjpe5W2PPzTn`!;&+(^SLV_&KZ10{B?3NgGxq|If$x4yNO^azP(_>
zT;Zk{S*|s*^X<ujc1guAUd(d+J>&bo6%0MDDb1X^LP#;dS0GZ>FW$MSN(Jx-PYFAm
z?yHv#F=oI)v$PcbY56y6R{V;Nzy-+dvudrmADVPX+?m4?=mi;;gk<ow;{Zt4VjXAI
zgWv7_m!$>Ce><%`0B8-2l$Uq8s2-s`a_kuJ6$lbJ(C3&}=Cj<v;=x{W4O?&cv}AXT
zAD>`*Gc4rx<tzQ80V0){DOU=@SMfyLD2<kpS=6+9e=e=vjL_iz`A8XCUXBJ_3OKhu
zE!Es_2*u?ttL73KUgKE_OsepGgD@!eF<ixg<stTlb7TsV)VB(Y<nsC=3A@Mxh}F%%
zNq39<;=zYiUyuEl>m?l$&jg{M8FuQic==G~rrq*+3~)*eMO$RXgr>$q+S}d2O~5P^
zd0-B6<(%gK^dQeJoFVdEvO8e^k|78;bo^E15NtzU8>vDa25u53O)zvUTjVA72v8ul
zC}?1-nTw^_A{xB9A^fg%<Spx`-*&Yt^2}n9sBgS4Q1P6|wD-`J>bs_IA`yupy8c#_
zW7Em=3rn4tX3mlOr@<~Vt7NxN2-xcZLIZR7z!Sh1>an<8sP<wB6i%D{XQ`WXj$~W_
zRnm=_aMz>e-wuu*=RM-&lTM+g!T?1@L`C%H=YK2|?q&<m$Q7h{?2mQMlg>Bb(w{<o
zUaI~J9>KQLy4IBpg8_%s|0`;hhX_?q4-^VKrffkb37ov@e!nX{T>nsSFJKiVvLHGT
z`SM53=5!#15S@M<*^Oe}pIile3vaY@Q-TJ<aMavIAP2@}UidUakfF*)7$*~#;l}Cf
z3(08G(3smufZ!#cIy2x5ZhPd=v?2i-3G?xXYJ4_HXiCB|fSeAA%>;|5^ys^ii}`1i
z6&F(+hfgnYxmtWXgh&yh9oY-1FTCqPCol{!`i>h1z8Tj`q$9UBtF6U>TOlhnyHA8=
zoXt5u`x#U1@$6ucgoBA^U5R`e#naHcBeH#H&P7H;TNlQaC4JGnXvN@e_oNfhFx&>2
zXbeGA>qOX3+6Pc^Fy0R3J9@HGlasD#te`7z7$QQfO<k{y=nw6WX^3Pvv1i90hrjz)
zdz(JkNcbXm5>l@6er!OXczr5I5L>$jg7oc6G{JD%1b)00p%rfx%ZEQhFf2ura#IY}
zn-E>>SLdYy-vYylhk5iNr#`nqO%I08qCps{(Af~_WJCYR(VO@pYDOI;*aN=JPCDQ=
z_~}tIfkcBLDf9;OD?By37GLP<$@#3hyfnbLp;E|69PSYy+Bd~WUMoiXXF*g{v`852
zFvw`@25ZLWh!5Mt0M#x{09`apKNdXUzGN5=lOx;{G&kKi==J!QZhxC_&b1hnqLaLU
zeVxJZ*BkqKAF-g;9Dlrz(?|N5ZBqZt6~hbh!^RXQP|prJqN$|Y#VXkpyq$$l9bTau
zzGg(u#M9#vTz7HZ>fLnnUVZw4vVRRwCma~~!{9yLVkus7RCcSFi_x=ett}L<lnFNx
z&FXew5C2fQZeF&jkfWhCUasLrmX3P-u(=pyH-LT|rO2h>bpFcd8RR3E7r~doRU<LB
zFGwvGmIu&2O*+HbYm4&UV-GmtgB4akC;~#e5$b{Cz<*vm@v$wtY0%FXYfhQdSV3R9
zdUd<?+w$RuKr=#Bd_j9L5z6yhkzH+7Q29G(Jl0wjA(`~S?)B!P!{0^UYa5Oy94ll8
zewq95g=N5!n#eWxp)I=AE&=gDSOy&0q-YdJxnKFAKXj3)HN15F`g79)?m=IUuv<+F
z(>{k&1;a`!CS%CA;G?QbuZ@sJ_S&dZ;+m@;CC$T|0{dh6K!G5J_Mt|=+5ehMiab&j
zI_-9Qr#{q#(CzCp-@QS&{DJI)Ev>43y=0Gd5ZV!tbqj?-9yNM)o8j&Lt(V(F5U-_#
zhH~QQ+qa|-Xcj%?lo&9PA%Wuh#<(f_1OJ5|lc#Tru|9qJ6rxH;B?!1+Vns_9@vY(J
z#njegSA$Bqwc2FZBQSv1{!SM0|90X2S*Q!?6CI_#&MX}WdovsjRv9+;=9(E;v-7F{
z_m?_l8We*2r=iK(cHJDYFYB{JXcOG~$H3Qd129N4AnG#LL}b*dOog|7+$HTls{A0l
zrJ3!Rz|!=4rWP+e$+Au2f#*p3^^%DL=LzbuFAZqv&SR_=&C+QccR|G)v!SHq#KzL8
z3~iCS?DWzas7@KVDD`5jFc<@^7O@{SUSDiN_!`NCQt>aX%#T7HgYoAs-=#1tLWm)I
z{j1OV;jc>h@Pb|^uAGRIZZ2*uy*%TmXadEqo}rtJj@cq0LWyJd8t=D(ydr1v7H4!X
z$PG71fJ#iukG^z#QFXHd5*71r-_&AX6&5<(WvQ3t`8VR9gH3XVAWFcaue0tQsp_j8
zVAbe7(F^2(U<veoJw3UbzdmDoLDX5HEj~h<nNZg(zt74r-m0u`%6I&X+3H9As^6VR
zB_e)e*o#6E{m5g44Spyc0JEV>hB|;`ybQWF)K1tkv+&7bz{Po=UkR({Z7KwbnJWrh
z^9?o71=RnWmYgV;tLS06uF(Mof9rhO@Q1>RiVE5rJK^5OS|^3s8^}m)laXQkhVNf@
zSy&U*n$P<0gP0fb#@&1}4?woU-m<8t`NqTi{1TJP6S#eUf$eoXQb65lG5nV162?`e
zv#<PyfMaBI^ajg6s>jUEnkoE@B~LkRrrMWU3_-Z@&*hwtw>p&>(?5g%ws?0loDn)~
z1>^sdcxGBaA5w?6d>?)1(A+zV!%5j7t~4v=cjgm08h}cU(AE{&!;vQOET%lJC}2?7
zWs@O=nn_j3iFJ7z?m~T2>3$M0RD>OHaO%=mGZZLd=2L_G;!8vf)NyalhWL#q_>SY<
z3878FO^<ru`i9EOrrb&_s4a5e5;=$XHOW0h)ZU-=q&8FYPpBiN3)0qj<v(Lr7s*7)
zjc$!#I{n}j^%l)@?W`aZP`bK7hD~aEtPLc}$H^pbLl1)c4c`#Vqn|&=yNg{DEA87s
z$8@c>qH_S=uRIH@Ud1Dxc20%&JiEIwV8}dOV(PNKna@IA&Lbm3Lt6=Uh*-NOaIbL|
zDQ;CyE(vhv^K@g03nwtLmHV)m0Tmp)bC5II4oVDC#`4YRw2VArASWRqTm9`M#)>Tm
z_RtAs%ii+0FY&2^HGo$gd+MT|>$XG%FEB3E8{pvi*I~JCE(W=;y%dKj-sQd6*3vEJ
z_K*a{&$x#}Lo~%OSQT*e59+#lY*6KW*cS{H#{6$s*D`-;0JAq_mX-7+Wrt=!7>vso
z(@zf%Q8F_A%p9wrVJ8qHA-W{e`?f?UFz?{>F=7q}XWjo9?}<A+cZjFh6>BW{RDHeI
zeN!jud?4K<Ck1xcV~=JB7gu<FO+Lgon465AS-&*6&Q`WM2Ij)F`imTqEN+TjU3DyH
zNW3)1k81RNOW#)212GMdhXIc~KJ^zX6uUGlBM%XCeRn7r3&;1Y7Arf=?4YHmh;><@
zf6a}&7P-E+%T)gcwA8&+NJ{9OxapqeDw9HVj5Ay7?W)?Ca;S#G?}o1eV<<?0=f1)K
zQzQYj_jg`)NoZRP<3SY1!08?0{>TqmoM{(^y&%vq+Z;BtOIj8E9<sS)ru270G{bL>
ziKeW5SiHA8-vqW$R#sMsRO^};{Cr`ndI~>i8S$({Cd$5;J1y3?_{AcJ;9^v7LE^w+
zzE3*&{r__TPO-GhDaKocWmvNeCS?N&y?x1ipZ`!PRKgZsUddKH@PEFmVa^o=c-jA2
zlP^^uv_B|}vRn#0nWT)O8SP__Y=3%zwOcSNi$r9So}qG33gNNEFLvBC^_z|VOuKav
zj<Gl`S^DtA#0354V$!V@$OA7hIRQzhXwru$KUmyaufzE%lmRaUwteq%U{?w9u&vS7
zeE@A$Ho!ScL)61U;gA#QJ!RzolK=#~fkMbef>giGUUGZSE<9#Pw==b?`=NwSx8+*Y
zf#3ki1cG7NfL8JZPfKxBnYoSol3ds^mioSQx^XJsOr|`?FF!x&Z1y*HgMuyyHLyN`
zOM{paz8kVXWbllvx&ua(TN}wDLG%2%N3yuC50S-2wdZio`~TC?{tYnQbShhqaPS@?
zqS~TnRlv&GZl~L>esk;hfv^z<D80S7rqFeDj7z0xzEFeDF_94<g-k~(a`+xJ+$a=A
z?y(B*4M=%f{Wj;5vNz}aqBckUZvXJLJd)|ZJ;h9sTQ+oa^QNxwv5O)AqF`Z#T5}nf
zGJ2e)wRmDtrzjG=UgAYmaNldUfutGl+Xs?(D+uei+0h7_&A8k8FahY`p(@&L@2)cu
zV1U=g?ls;I=pxSYN6r0b9wb%1*<ZPcbDJRuZ!0p=S1u%z(e;=JaMb3+PEE76wyrm~
z64QW>tKcJ)WnMr;AeK{*UmydlQ%Iu&0Ry(S<6`>%d&9>r5nC@}G(t%q!v=KyTM;2+
z3!a(nYFo7B(DNYcl9Cj3CAW@R8RCAXN(UBWBY{RZ(vA<$k|x;bSv;RQYEUd*7+5`t
zBw+9n8+@uO1oqnK{Qfv~IX>D&9Ud}dG2x<vMku_VOL6bd=}QpCDp1VYmhRC9Xo7Lm
z^-+N!jjHzXKZgQ&q#~bmO&mN3NAfov<KW4UE=;dfjya^Jq<l{#ED{)rbfpt74P*zr
z20gf1UvkTBVQ^eTnFJB-@}3JfQ%PEFZO!ys3LiTrf5&&^FyDbOPd#7QSEqIKTZ-S{
z7+vs0ZW4eP_00Be;yx-dIe8xyDd|tP+Xt9vV0@(i9mcSJzH}R({L1H@d<DW*+e*Hl
z;AoIrn=IP!?ML<Jpc7NW?}Wte@BQRkwVaNubP(DXB?g!-;6nGTgn%Te1}_$za5-~5
zTK%`JOeUG>>4{MU)jD#xAuASi{TFPqX}cy|F&Jy+z>JE^5u(MUY_JpIJ<{I-86j@)
zS<-GO3AXtv$%K?m;r3GjomeB+5Jarj`691fZIsoerBuBFO@;raFtN-3M5*(+KU~X|
zIzZ^y`>qhk2ULon3DVY41r89|&shF|qQj?-4`?F+OBtJ_3rwm^*xf@ci$8SI7T!nv
zahD94g`6ZbFeYiaZ40$Pl{XOqe*t`m(^;z<^0^k#n_#rT>L5r%G5433kZ$Ox$Fj`y
zBkD39D#_#>)^}IKwN}x6@p!NhoPXQB&bK8lbQw;7?dY1Jsm=71oz77h4e_@lUdoX}
z5NCWG{*5P8{_RwS;OCDh=?LoUKb)Wc{OMDUVW9_<3|p5pWgwE0HXwO=9H3&hp4#T%
z%QU=Ca8hah@Sm3gT3@4JM{%)YSrfho9`hq#zQosC7#bVj5=aFJt80Rz0V@#1hQ5Bi
z?Wia$=qJqndRChL?cdygdg{Kj0*k8OoZRQfUc?B@*7<cHbd<l`WuISo0&t{(X=`!*
zfRYl;5rpg-9pp-C{BhCy3A^{=UIHt6X?6C|flCakgx%R=Ih8hTo7=Wef(fI>rxrW8
zv<CAF?WP+DmPwmk@gKy;&}IUG%a{4Dga-P4_zOH}^cQX-ZoMZDmb^+(qJnf1e;3I_
zoc-Z2&N95ve>gzsqG9}2(|NDfywrE&4G$G)p>d60o$R-|baSq2f?;7;{A*D;b?jEf
zrj<DyS5a2~%)D$tNg&3Y4i_<2@-qNmsUj>O>nAFF!5;Y2fw}?_g}OP_-asCJDMdY?
z_TabL!ZbZAp9`LbgQg|CGaq+NDDBh{WP)&i(6JO<9>pyPh1K}J9}k!iI}?&RW4h}B
zpSo;o$ceq$OjmMJK&@{X;hZKVS9&1~=NQ-!V0((g)7-p+;#P*B=ecfS$}=WQ=7ylI
zZX$<zJsfrh;h=E?m-*{AS?T7@(OLHQZ?pYOd2grWeZ7MC{l@X-R*tpz6zxeLn}`I(
zZvT1acU{n<pA=N&RC!;$$QrZwYL4y?dS_1dUYxZjKHRdg*i!w1p{-liRApCUKX(J|
z)!q9pUutsv?l;?;B6q}j<b&wQ!+F`((IN<>QjWX9k=xXCGk7SET#1Q=1)|xKJ|Ff@
zmkRFXPBO|G^lA?Wkg4)(YN~Rcrqp)oUFrzizyP(F^f>$>aj-aLTx=%3JOcs|3yJih
zL#pFHQPGE;kk_}g)^50!*A5GqP0M{BR2Vb}AwD0i4EZX22(o)ir;7Vv5PhNp(KwL}
zL&(0qe;UiEpU-~3&i_JW$2JF(s>i}Er$_c)LISLY%1q=XB@uW7-%WApR090MFDks~
z5Wd?k1G}wEBMIF?@I)a??0`op^X?-ksy(~8VPCc@h(Q2;{Qr$hC^2-XuOA^1yMOxT
zs#m*2B|@CA^7ffK&>($W=>4!$*HgnHx0&ygOczy@l$46Y_Ygx8Y$Svdnoy)k(sFV@
z4uAkXMbmAy3h}9^g)2$e#hgBK1|K|$95XzeZM3yPZPa?D%*Pl*WVdJ?cmQ%MD=j9x
zK}VkOFEKGO)J9U|N<1mb(0epm0>G)aK#VsQ4f*+}!H$}8#adu~1%6t-zVe7kl;Tj!
zP~4)yrVvN!XmtZq)9+pH98+4Xk#HmCTp_9#Ez20nbLbDX(;cw`i?=@uL%b@JVp?pU
zs3nNP{h{3LbmyN*b@^QaYrnZHNf8AVCAavX$A09+SpBeAD?wt1>$!~b^786xKfHfE
zwY`bBr}Fdj30T0v#8qP{2UUvV*5K9OtqWI4>4*Ym=~|+=65g4UQ#_Aeku83hm~AB^
z5Q58I6m!|p@WhiB9a@Ht0tS1-KYynA@Io4xC{55}Qe}82km?P^n%AM(`9rhGeziyX
zF1gV&5IVOhGAee=mb>vJ`BQRxYk@`uSF4j?zqFA<6SAfKufE>7O8nBxv_3R8vT<;z
zFb{vIGvQ&thPJvt%KkaO@OeYwFOw8C@@{NrJ0y(U(MyG80Ce$GB2yG(%7<sSB~q-A
z{E3JU!%2Aco=A%BII1|8ug0gNt$ldd_&d}x-yoSvNj|Q(dnHGUX<>71=E!&Ju`fNf
zVid1#)OcU4_T8wd@yD9<#U(I^QQU>@pGe+mGYT)fkh)92e$O_+8eV%5=`0H01h-nE
zTPreX^Ff<rrG>LGd&GYd5rsi8;R5I{!yDHK66bjuxE^e$q1iHRf!mXHku-Y*#JiI{
zF)F+VgoVLm#mG-U<e`BuEENk2b)H>-s}YD!^77En!HV)Mzw*Zr{BEM6^anlxbTk)}
z!awR5=U<NS(L)oWW*L=jd-Ad)X;BvMowxdN!<77w1JljaV-W(+AD5S#n~OYFXhCi%
zePBHCkkOh{VIn1!5kV(VN&s=xI5W85HL!MdF!{{D$jujzNf-ar-sypXX!OIO#J3;z
z6!zHX>0;H16$<1ft_cDU=C^Mhl=*XFtlmFkPVtet&nAT`T(b=p_)f}2>Fcv^eUrJ=
zVyDS>s$&IY$|A40LN)^~rD&FTuQ-9!KfmHS{dJ|QdUK&3o45IvV{TKuAmX4R*Y9YQ
zpz?@T3+UW_{EfL8_frS|%*@%Yi)lJ}%%Y}1ZxOz&v+Fc}oZ7BLo;#@bMLl?xTz^q&
zbijC>dB>T5?=2}Hw0kAUXAnAgkUB6L{LOMXCYs@qkqk&_nN-t-MxDPXhh^Z0#m*?3
zC7S4h?8B?AuHHC1>nO(h+3q!T7R(NSy+F?vfBt|GsKr_S-88|vLMiJ{h@vZ#9D08Y
zhe#K)>Uvcxp<cD?L=;{oG&_}*DLi+mr!e`p>pYZ>{KJQ#5#!TVQW<nY1TnwO^@2ub
z#(#rKVjY6(!o%T>*D?NBP$)(X!kf2m-+ujS64ihhD)^MR9(Z6{AbRMK)nhu0A7DQN
z=l(v2#0Aj5m{bot{hLe^?%#)-F=lQe^jL(>c47g013e#L%V5YdhT^@#BAWja!aH1Z
zyq$OD=^~;!O8#8Vj@e)`weu9I)&^H@lR6<x%w7^M|Jm96@auLei*D*_F8`DDz7Fwu
z`!n0!t#+-CyE0g}xNdhIjHPgQ7Nw0cfK4~s{kKQn9M}2eZ>!tUo<$Xi-35kh{<xM;
z`!0PtCPic+eNup70_3%=mSe{Y2p2AJx$<s1wz)Hd+I@u5af-(LyA3(X>tL<)kY^!8
z*TpVVuc?}v8sen#t=!G4(ljiin@{EPjXyMIN4UTH61d(___|B$jtzdG`V*yW%sn|q
zevayS)#|VR{sTEzPC_Dx<GhfN5T0bmxQcNQTuHY2L6L+tOp{*`NnG;HwQm=CP?&B{
ze=9#GAV6u{b{U6f#2cP+u!>gI{y@2hz{l7K<3(X+<tB4o&-$m-kn-~|NF~TwO6X}#
z9y<OLrbaknK!I_|oy;tnw#n+6Kz?HOt`n9PPUmH!QEosR2jpkBa4!dw<<fUAhmRHo
z)MwQ`;4xmaw<o4ZyMALuc|puC;z_4YKGzk(p;M0qv;`1zbUxzlT?TS(GqWhYB-}GN
zHD^IM1`iIKGn*ffRsku28#hQhD!jQ>9QOmIQ$B&Fy}s^^^>#@g@E(MkygUrB@~k9P
zV4IDEQyE9&UPkhrp(;=^Xy!aYI12@$tNQIFiwvIP=s|Cn)6u9>p|vBif98~=u2Y$;
zvCZ5;csPM=-`Tu(;llwkT{C+Tx9lq#Y)^TqkYs_bC@?S(nUX5JwacN+LDYwH4DW{Q
zXAH&WHa=V2*q1a`om89VaL|yW4Fh6X0=I3?u2>rf8|y5U>u-y_YdV-2N=ui+Z4X(D
zu>bG4@TnttvD2=oi$&QmKDB<DYq|Pd+9yJknL@pxm5j~Qw#=h@8ABiWEcPHhROgWF
zhR<@{A;+1{*_Qp$=>rd_PjYD8r=O<@s0;i>+Wm_5y8^Ai(*bHFpkK=La<44vY3M?B
z(S>MNcGc7<Zds-Pz_p=>*360GR@g+^;WEfanLYLtNwHLW*;{Gp=^c=IgUl6TFSpA2
zhRATTo`z>;v$Zq6VO4ViS_Mp=aJwPF6?DHc_Y7!1g`~8a7YXN??pH43jzf1&BoYD4
zg6BI7mxaHxU;BDDGV)P2Rv!lr9!y?myh3V@$nD>T2>#2;vbvpE+;dm~6b;xm*Vfh|
zh^<lQ2+9n?#+na!%LCuQH42tva<Z|G4k^+K>jxcQ^h^?yJic=N<3V=ql1zruCp9h(
zs-|{YKwMz0<K|uPgsXpQ>lFw;4j7;vQdg&@32Kvwu(%9awlUH36mTh+MSQPQh{;N*
zMOSTXfTe-VH0TIg9?r>+9~QWnGc0fd)3unGnSq5zH2`~m(EO}Gj4{;G(vsW<>cvra
z3VBF!1cYg#-z)OQup)nfKMubH46~1v96avRJZ>M>2NPyEm}=`0{?7c)>vJ@ieQ$~q
zhs$A(r8HQD_mZ%$p>X_G+Du$BY(jDI!f1GYzPje3nDY(}qII2fAo`VBN^Y0rfu!9v
zYc9SEN&>GI-yUsBFLV7>^pvaHj}%QB-sTjN;!UQJ-K5Fe2+{ijZZ4#quL(Jo_KbV;
z+EJ=f0)dx{>FPi#rGJaH!eaMjd&%PrRKiBDa#0Zl1VXaM@h8&+zi(*3-rzJu5dipq
zLGUm+Hin=g{jNH{ev0IRK;tjBj3}mVwfQc?;;8yp{*zCQQd=FRGYuBQJ%(U8VvUd*
z9}HHQWi5iA*uLGLFI|N8k~aoW?IedmAP;`KBSch#CZrCPzR2r*j2ej30#B590VN31
zT>E%-xse#mKnI-1zN8Ss`?aN+)Jv3@VbAYB$?z`e=vAt~?rOikK?Xc%be)p2A&>dB
z+uKMs#H9B0>C@4yL%8gC7+{FJd-v`mlR%<~>VN`dgFJrv^lpYA1m6Vw9fZhVxWLay
ztxI$J?&U;B{Tnx4p5=!LK9eeDIs|ut!F`ClVQ4NaJRBdV&^*Vs_j(EVjwlBYA95tO
z;Iap6#?;glnt7n3?y|@;B!DOhLLmWA)z7G-7gIL$$<npl;matIhqoptirObH-e`9G
zsm_y5blomNJXDVv15VdsEgVv(bTGJ4PWnnd8MzX+IG|m1r`?`8dhXl%J-780NJ3Q#
zQ8q+f!|k0Be=KfDwUhJIU;Oqf_dLfRY!5#mn~EYj^3}QTT1jVD*Pf{t<J4o~k7OS-
z69|quqEaW*#eo_z%!U|e=SFRs9(kHVpUzs5@>=ia4bBg$C=S{}kUCtowS~b0f@4q-
z`j_7y!wm>WLGeT|8$eBl%e$PM9J{pr8k<S^4@({mkw9(}(!cJ6AX#@Pj+Z8Tj$FMQ
zK-@1k-)(GaQa05>9-8tg<Q!un$n+LuIO}=*kufXx&CjWmKhMWC!XxCMkPx&zLT{25
z${{p;02}+2UBAH6OnTlL*I^#TdHhRz`{6p{GkmeAz}~8Pk}$4@k5r#Amo^-9Jp(tB
zK1d>k9!KLt@7@!&6+MUU{|{Q(eY@TQUj)b`T=g$uWZ>W+n%Y|M{P{`KQ^0h=*7`Qh
zdEE8S($eVg@I~L1;an=Hec@m|P!mAbQ`joZjNENocqioEe#Ao+*Z8OX6gO0>n0XE0
zPcO#|l9(gJhTEAL$ZxDK&n+&xZdm~*?gNH%L{$0>!zG>a=%p!Jqer)>cG2h|<Ym&4
zj^-}bc8?=M=`<fnw@#;y|It?-HdK~W(-=&qAhaE$AULuofA8pbEBtQ=v4?mgFjPH$
zegl!MKc5GdrPc0+!Kt-ojdf8$>5nktr{7Ut{OYaowHMDgUAcnY8ToJ@xcn+IwFw|O
zsKumrpK{4QY4OJlCj|-1b0hEH2bF4!uMJSws<K=R%J$FGwX?CYadG)<@e*4c010t%
znL2syvZlh!Uejfx6{a%<4ng&CvCob=sacu(Dd6=bT8%JMkZ!$BM;ah)9Gb&*{L=sl
z6SqS`+Qs2?b$0aD&Fkh)Mvx#NSSylRn+dn2t`PEWfx|Tkk{+*Q;B|T-C?u5h;xhmh
zbgu#er*hWLCV3!U{qDV%QKX`vlFaLgB#0Up!$b>Vi07iyl&V2zzQ-N$aY2Pw8<(1p
zP@&N?wEfq1lhn)&HK0$?%xRhi&vWbajiWyXr2*oPahLxjI73w`OdTL&*Fb@n!ibm<
zh#5O9451@PuCh%!nQ<Hj$%oI863R?4d1(D7ro;g1yQR48>t29U*qC7BDV~T_W?S1l
zsH=>yHtT}24y3J-5qvDrr(MgjF)%Ioo8OxRbPO5XBM0|2I&y`c%#_ebh>y<*Q+yY6
z=kw3ty2;G|O~0c7if!M&Pdje=?PTuT{?4p}>FYeB6q#fFZhan)*&~&rs@l7P-l@kn
zH#R0dWCUwRkq0^&=<IikT8Nl9Zo{vcc#w&SiFjJmL%2S+v>YuPXyaLatH|)~)VH=P
zi5VL&IOWG=R_Hp0&w3g9&=LHPJxP;R4rrkyi0z%n0|85RZtez<Rp5(VUB~3*xx(x5
z1f}guD{lOna4;byya1kX#K)A_mYG`z|NiZytNr=gw}{9)^*=H)c>h2rmwG1i<AFGt
z#K&EY2ce6mBH;TFT<8YZ-7~?-*|{i7vrwt>wE_R9BW>>D6MkFv=(t`6JL>0uGCsEt
z!T|6myx!uX_gp=kIX=Yf6YDHKfrih_jGJ&rh4=G*CVrJ-VC+df2NVzFN=tXNdTotB
zwdUD@Ja>No{@o-}POBGxp6RHR6jB)4&Wbb9+$b}l3%PZ=mV%P<%<0o2Wj`5TU4uJ;
zJd)axiD-T9G80Yx{sfcQ)YK?zQM}Grr~y3a%!f099(cYbC2lS*V=iwXON7}xsK+4O
zYYE;<O|7=;6x!1F!?(M&K;cUQ5*^G(YOo?b?tMo}G^QHv^HNd<#>U4}PLdu;Jmqmy
ztZ%nDEtWCW)z!#ZwzTA1>)(A^<Zu1ewl99C*K{eS*AD)9z;o<aNtp+G@VoPgU*{WT
zeiGpRSY*`-yaZ`IeGb(TuVldJg5TdQ%DQH`e-B=H*1ZCs559`u&cqAnJ$+h%bmfmt
zO-tNT-JTp@nkj>qi{h<WzAm3~q`XugwwpOTxHVu;*IAzy<y*7gFXf7EJ|(pu-H8c@
zY4`4HUrS>=nlch8l^85uqWbb4up~fh4oi_p9a=Zj!wU;#_R9rR(T$c|o@42T>=aw)
z;S)?u;I0E9K}a25GeNu9i{$aw%5P>r%oC`+7r{1Bpeuw8YGIwZS|F<BPIA0<pzL6^
z!7}m776V*eU0uii?-<Vu3kxS<PT6nw8pi0Arl4^5`~CHKEO+NoAPfvNFUH}&{NNuU
zUFf-Bm#6EALKxK$cdhX@2!#9h?-wMzw=RN?HlYc5Dagd(xr0neQ`1OZQ^ZUnUzLE2
z&IWt+e^^FsGrTs8b#)&jr-1Gh)Y^QErUfNwY5w&VP&N=JW+m}NOgq<0%G1&a)U|Nu
zBh0$Xf@780F7|R4bGV+C7Q6|yFR>A@`A==_YHQ<R4xe%@@0x&O5}yXW4ERy3wBWg-
zaS^VCD<BVpqf81cX>2IgcHe^dmxqR+#s|F7)pxDV|NX;;p~D|T;`XXLy=j~`ygd!R
z#C)s5->=TCKDccVvVz+f|HB~zILxPxuGOpZdq8@O-(<+8<ByM+&nq=)myQ;+d2(R#
zKzzD_GWELyYtn{mBm^278c<hm-@d)M+@Mf}JtN*LWa_SuD*OeuuW9)a*$$qo<WkKh
z6#uZ&TYT#1rqA+QiT6O?`u)HEoV?Aw&m6q#!NU+xb=ZC7a_Nl20Ij07c00aPU>a5n
ze4<x_OnR8~z19!0-l(ZIBj0|8gkUdUx=_8B>6S*a<X$ol>u{PWb%+<x0wb*s-gXEb
zLhjVYFa7G%kH`8X30Lx09<-DAts$sF6;V|H255qpv+fYPHRrn~BHSDtk8P7O1o<LE
z-il#6ccSUY#ez>4?1a!Oof&J~ZVO{?nUoXhXuP3b!^(*_rum}=8&x1yWgXP45U_%C
zF&VAH!@$bTP2BrsIpJG9D|dmPc&^|b0CyE>adIUDY=Usd0WeAM&>{RpB>O-o^m_<u
zaV`a4V3dw!CNBFD&teJzWZLllJv4|2s1T<B!&j~8C1R$|N&YKM-j|SFfoCR@a#F`V
zK#@Q|I|}Nncp`+0F#BYsjl6qzc4Zy93+&>Gdhl~(xuC`Xohn^ROdpBmWo2c!60v|b
zJ6zObVrmL0E9eJetQ_3jtxZi&a&tj0+Zt)ZRd|t>4y&S~9yI^m-GEY3pYxBuRTa9Q
zF}a@rdv?+Qo<5BopU&@Og_;_J_Qi{GDcePlT!kv3NHAAkOl<bUz9>w8af*k8gL_E{
zq?3<S&Ye4FX4a2r5-AQ%1T_&JN*!*ynqBNx)3*k+(_I-UA=A}=H>pFfUZF{CP32J7
zN0ssVH4$udlS$FpE74W6&YMQ^{$eP?+~7Nwot=#*P*f&5A{$6X>|I3Q;1<KB?c=lI
zRy7ZOQSZ&iYu$nyN&*%A)Td7ERo;2<!qZYf2{HUL7+!OBN{WzhjozEEw+&X9AspuR
zb>8(Zc6QNsdC+-aR{7@51&w3h$a9!gu86bY=|nZ)(ZC2OsTH{p(9p(cJ6{s{tdW)a
z=PR8JcMv|zuV1jf`P$WW<+TyKVdmV;DtopZa!2^lO6d7-BMm@Tz{H8LIyNq@lP9=G
zznKh56jLI}tfGSBz8+XpC@@AwGUbJ2djHP_nBc@Dh<0IgUSs88a?7U+@=7FPxZpcG
zgFPcj!|-T@?n6~K{wAkuLXL}mUXM5CsnP4Oj9lcnrA<9<oHm0M(ZuAWN~*T0n5woQ
zrK^jJE)N4SpY1&c3S4LCW50ZP)M@aqj;-|8S-b@Lk6p1$3JeQUG+}5Iak36zh0Y7i
zlZfo#f*Lv(lMY&Db0}NUpUkhkGCGu5gb64tEDW9~QXCZi5c!BFIypI^$47#9Avqc&
zT!(qOG#=*&ikNDYlma@&QSV`^2+w8mz<FuGq8;k72>OViCj5l^bLuE53?If_M2ucx
zm8@~6+3H9*Bf6la!4QxL>JmhPj!g$+KuC^%+cIIUzJGG!*3NKT=&)&h$aAN+w|8X3
z8f<G+Rv|qNjTX?;9o~!so%4wILD>WnU|PVUeja!yVQg%ybo$K%(57p928PQA-rRSr
z=Uv`pw-E}Ft2CF8K6&z_NcH;fMw$2r+e!b;%rWk=kxma|#OCm0v8^-02f`#57A8`)
z`~&>1&Db*{K$kh_avnc^Tv_SkF8t^FrM3_0irYAtX^jTQ{oXokVv0UnS2RQX|EEj_
zjhgk9d7@)in&mI*e63IwfJq=S|CEmU{uHuo1lGz(P$fwC|NeaMPo>XnhkihIXy5hn
z2zCFkh9Rtd9UUEQY^Zt~5xA0QX_upu=WN@7OA&J^BY-PgE+DVq6cff$ez?e7+5h0r
zuxh(t81&lshr0uCLzS64n(B}?21OILF~h$hqqv}}D@G6C45$9>pjZ+gZmXYPaVH6|
zbRNb^>`Gr~3}4x$ItnoDzkP!mxLuY1;eXxTQnIoz<}nlo`BYIEq-P+sAWukfY}>Z&
zZ1MQO0FD`=igJVg!7Q{R!aHe#aRGseL9`)-q0jj|tToXkpdlR=NY}w(2lDHUaf0Y&
zjw%fK0cZyG0xd#-d~3~ls7N*9wH^v1*XrUMrqG)R?g-1kq4SV^gaxMza)@%%($aEs
zafZ@AiXkh=WcCRhUaeKApj_8sdayD+$`jRsy>#a<jNQ6aQqEP14RDj{+}zxJJwKSm
zeT(nl7sChJ_b|WhUkbS4Qh_a+o(*;I+h4zaA@=r}(QCW*4AqsDm5ysqQ^o~x=*`7o
zB}Yj?fsPjnPB2a65E?e&>Hf1k=Z*r~XGd+$iYm(6w@(4SW)U{<w_+7haU{TBr&$$(
zh}l^&f|xW&mSr{;uk1SW*Ji2};u_Q5vE55}<v#c0azkW9B<1&OAy<mAA{q#0mXe|2
zQzt6=B~pkOzY<P5YG2BX&y3gEYs{V+)+{c-6bcK)0a=yw0T?-%iImH69C>;9<z6nE
z3CeR+G|shb{t7exlx6|C?9bo)%10RYIp46e{6p|#fcF~(1r{)HQgJF1oQ-cuR}LXk
zY`-F)otRw>-O&QxNJesPef<!#Cq$$*Q5xZG_V#!rurk4A^ok0j1{PDz&t;NKf+Uo!
zZ%oM<o<b5Cj?pf1xIIQQeoD|LcZCNbgt8Z&uw@cw96)69^X?TYyx1E;;DL0f=lW=N
zdfG(^2F3Ply{By)976K!29S9PT$GMON>LmBaVK`|2|fXg7B{1oI=B}1&${aTD66i9
z%Jv`>0~r~jvQ%4Wu(?<d19`em9?kackfRZ~NFQgG_No7ZEv`0GYAaasxlB)Sy*zyi
zrQbUXU^npJ`Y~5};fa+=C;Tgr;?sA401yc69(<M1bxCnx#XGaqntV+3*fEy-F&OvY
z9`WPH4_H;ruK+a0spD5LBMCY&2r-Oc*a@9(K!!{-E$e@rGk-vZj*K#0AyucZaf$b(
zOk`3v5yFDs$h2&`6aRQhlWMeD-KH;)MC1bos<+Cg)AyLQets!s91bESn3J%t()@5M
zVJ1oN;5LHL0jUi~OL91LfB*pyy?G`$ao+%eINF7`Nyv$b5e!Mh2#WKE@V<eUD8`!6
zF4+6<#NihXJ`={WT%veIPo(Q6VfKSz|2Xm$VY~JoG^#yaCeFlC3K0zUa#Vp2W?faB
zcaDIs13euCdGHS4pi`J{K0+*t*gI>PyVeRc43^Ok)H6#-5hOHBpdy2ZajWfJ<@O;^
zlS1kaOGrq_$bev`Z3tU=g|(j6s=pgEOMm{TWNOoGkIj44WB>il%?Zfai)=giVFfYg
z4(@DX>fiNIA`!HIbFri@g#L+cKA?0%t{cP=!ekkX6lg^oEg#Sb-8&O-Z$rB~bnb^t
zlokNx8h&+g#?YUmSOIv$7)d;_jb^>6dri?o{=>8dC<<vtPxhUPOcUl<mRN-p4Rr*(
zi<bs*bs-WO2k(DG4DUr_)JENl7d1NmRQarFsdn8PHsgxAVsB4Nz}P9lu4+AmBr)hM
zv9?0cp-E}<T#$nAy1PsYtgSzcY}q)XTPX$$2aP@QdWb?8I8{R92G@Ed?eH<;wD2`*
z2}+2IgRlsF32epc1_=bb#9QGxmvgZ3!pViF7hL9uq(-bivBAMKO%zQ5gFOiGfUvNN
z?YW_$AxMBcVgX3Ke0f+hIpPm(6+6-`PM#omRDH_G9k35zY{*%=`H>1c8JSE<lxhfP
zug9=Y_ek6%BVj3iMXJOAD#O}W`G*>cn!GV!c;ly#AHfhzw3gk!+i^qne91X0^NGFC
zZXqDTvvTtw|L2vP{u?VA=vzk~)=e&0inE>E4T3>!PM{{C4Vg*9PUj#H#DRb&IoY9V
zCAojyddp1%hYv8%l6bc58!V=$T(Qp`QFFaDI5>#%9Mv$-jo>Zde*36PElDKeNi~!k
z7`$C*1=;VN9tM5{X$VyM|7D$7TU$%CpPSsH;ePO6WQ+v6daO4TjNd&*Ihm>TMMEr(
zR=nD7QXAJ2$svuU#P#ZpMeJ1zdTx$|&~tA#nQb~DU~zq=)z5k)VXI;g{7nmRXyBj)
z#)E<aHz#1CU(?gpy&$wQT}>Q3dgY8;FwdPyeMnWCcQWaSvqz}uK1N@N6wI6)%HgLE
zH=YT+Fs~(j(kbIXj>5_;Y|!@Qi*-p~q9$-+nA1Q&H4b*~`Hup;=|dnhrfYS7{!C6#
zR#xVUf<8E1C2>*-vni?|GCs)&h-fcXg`ycIZB*nE2xqp%Exz&mR0((hiIufA|Lf@P
z0#U(Uyr)N6QWCmk&_KiM;rCVlM$1AAK)~|yGBSfD*fpT&MZ%*BFWzKyYJe<ke)BWY
zfc)Y7XRN)pR*3+j69TaC4{#j%N*v6<%D}i+Xw~%P`9(yNnu1bA42C&);WN>u`Yn<{
zfr`Kt3NYrw(ZL7%0VCkCkoXgM3z=OLkVglV%>@;(kY7pC4aqLd7+-q%ZoM_BMJ80m
z0y6HYDU83I!<C0FzWI|8E`n`|phiS%%AyGg%Roo9wwKo$%EAkaj^J(2xAqu219?2X
zyhzeAG6Jb@W3^^3hC9FM<Hxq0;5aQlZtKz#<V%3z9Eh3gCO!h-!@-QFyPN3yDquyX
z2wZaNbr%pA2)yUzOE+{3bV$w!nRn<IT-<)>RP9t0*bzJSNCGo0|5gRS00vo;Nr&kJ
z<<E92+F!l82JZJw1St~IY{y>LRQcZFPdh<B@he@1`|XWciX#}0&+;)|9jOzo+OcFG
z^dv#~Ij!f}wswy{fToBwZ0-yT5nb$o^$;=LC<u!#krt4SugQryoJ7~{JbphhB<+)+
zE(Q^hBrb}uIP)>l=;`W4^BqWN0<}eo1JBi|%=<RWLuqm)o7cVR>FLxB2f|>kjgS%f
z*Hl@yGPsvoBp}7Q7w(P1Z(wjIzx2U`L-&h-reQoMP#vJDlkl>!w+B2axW$_Irk}1w
zeybL@7!(=^I-$6Q4>pB`g`Eiy@+1F_Sgp4@wr8lnctsI`1<q=tB_AWmTo@pTuH22K
zf$CZRA@MCN1Dr)7R*Us2><VEaLLgT{&-vK<j&(Zj4#rSn<6<Po@if4YtgE{lqVzWX
z7&ToT9hA6hM3OVMwK6HwUu_7!d1&2H<InQ97v<{aH#T;#@W$!2oTCq~_k{0g-Hp;~
zWG@WQOLTWp_Q|BZdgTHb?n=kY#wU!hAOye6;_v1L02O>^7KcOX0D=#aQPMT1D&SOm
zFAs*yF|7|UKKPy5=f&C9yB#x>aha2qAk%7?o}e#h4GB_uj<D>d`msDWM9|XFdHcXR
zA~F(QN)r1mjG(1Kw|y^Cg+T>x6@OerL<B|+y}Px#$!@q8935Za^(rbV0<VdWaqm!s
zJy-{jF;J%EVW8QzKWF`MYk;a17I|pWmO+MVRpAZz!^k3HVqj<(de>AyVW$v%j;&`?
z{2}E1I$`eDs(s^`dnm|&aeXJj{|w7phwFh&dj>~tro|{v-1wm7xO8mrBfr)ir5ykJ
zoiFk!if<~On=uz;GAeW0KXe5Y12I;hA*Zs<&}T`jVirJ%qpy{d)477LYxPnc4{4dh
zk=fE-$d<^9Fmf2~FpwuSadLAnt!<!jH+%ma8G*3&!VUQLhJ>?Xxuk@KbD0U0Zg$n#
zcYXJ^YThfX`{RsV$A{9jwsd6(Ao=6c+fOPT{e1hzU+@%B@tI-6cHprl#x=0ffn98^
zM`F}8W%$rRA_SE1K*3M`{EjWpeRwQc@x-X1m>dW@F`uQz_tv^dn{jv2KKuyGqDyPY
z?*{R@#Tq#<U>#dpf=_XH7pv}X*ygqKt4nck?b%~o>X@#`gXsXtVF(GtYAD+lLC;%3
zuHYrWoq2f~03;e3)LOHEcV-f0s;SE9;KL-9an&V?8?Wx@s5Jq?rjZvZ#wp8H@Z?F;
z;O~*s0@n*k2Heq>KrM4&zdjBGf**TUX@k~p+d+*(kb?XIrf*B@-$rR=klw%7bK
zyNvtn0P0F_Umxcqn=-om-vXwGlKjg}{mp5K9>01QF2F&@(xhQh&tgP=YsEhzC`f>!
zSBvyG0sc$i;W1;92rn{*``t?eSS__z!I23fPMkYL8n+u-tMM@seaMNiNc0NpjyU+-
ze(Q4x3HaLIuYlR=)nGj$scUimKeH$oY}<6+E<49u@tfKuS@8)Wh4lA5M;pTJYvb6C
zW28=QfnN;VpU?6)wYGwI*IaDmx|5XvBZ$#XeY4@h!NxrU^d)b1hYu8<EcG~a&u%b|
zOG=iOkwjRCEYN?Iw@t|W6pITRj%N)o#*Wkt?)4ux@9ZZK(813lMf<w9w>Q><&4R?e
z@5ltLI%>&(Lvv^b5iK<A1h1Gz%M<FXcNJFdWwn~!6|H!W5D>hd$_IqUWH2*U{s73>
z-EDw!NaTrI6u(J|xbTFNjqQ??6>GGBB#j&38(a;8j@ib2qVP2yYtQWQJc{Q$KiW!3
z2(SOIudiv)5rj!Q|IP6C`AB@>VQ_JEB?UUUlRYRfkQ6TUldq#Vq))_J0>mmBIwC0v
z{{d80wA$8QV*j8zbAI^zUU<^d)P#2dMGIc;b(a9#HfI!`sRb;;e8>nHKryUQTPb@u
zh#Hr%8^a&5x|;y3xzSQcSQu$q$kZ8~#~^{gX<Uj#2W7V{_c>7e1vx*CyNnDEAO5Jw
zBFGpTq^<N=Fu$}^%9!est90^M7n{aptKe!dz;&Rr*96Qj9bk1*IQ}SofTf^zkq&Ky
z8%8*`jWUIjR-#i5_U(3uD+<~2e=7+S@)+{B4;+7z)<H!UU)nciT4dcaSQoOy5wd@G
zbk6$ZS2a@KWnm7s0HDA?JLDNd1@9x|5jYT*+0~@Op=P`OO|;th7i^L~;h^Y%-E$k`
z6Q~HRw7b~hD1y5pyq+}mlK^_%(^;V5^iaSUb1b2HeRy+Y4VJkYB*M=LS>%)Qy_SWO
z$Wh78KAE>ZsR{>!Fa7-vOLfsZGN{vRs2b88XifXbVx*ov4bT?gU?o6KH|W?#2Um>~
zo2GGbA9upf^JN1Uf=jB)*{X_u74_N$`v3CI74i4u^siHXQNjMsd*DV|F+=g|TaDWe
z=JUh^YMiSHAmJflzF+%RCz`6}mpWEA6|nQyht*obE7dIsc{}93hsDGcJ6w=A-qeJc
zNI+R43DDtuCU{sr%DcAUVkx?AT}ah@9q5@h*I{p?_ZI>356yvpKj#kc&CC=p4)#Il
zZK)~Y6{@O@QwXUaam|UyXEa*aWb~w~a7C54P8kLA0HFF_>4jyat`NKi9e<tA{9S-i
z#l6xL2KC}>v9;QHx(G}#7efyrnGDzqOG)Q1ZEafrPgW?B`v2KCC!lo{n?u;TBs8gZ
zNF;UR0jlwx=#c28g;FR$F%8EaRJSRtouLUI8_R|99Tho2G1d~eog&YRz9}`92D{gV
z22XLTL%~Qz4myvjs;aMV6;gLsyunL?BK5@!cz%IMp4^h%H6id=*vufBZ+w1*b?0wj
zhokemLf@H$r#;m6gOV*tKp;*XN|P;9yYT{;%Yzpm8ZcP0RQG~YoJneZR{Pl3zvABA
z+u&dTqh@fRin>S9;y^4vW5-tE!99C!gXP_&TGgAgzZ=X84IH3^!2o3=@z<xnQBE;@
zPcc_exmi$VCLk;~FlJ0l>|Yw_<S`{Q0o?bN=Qf@<75q0KXQmP0ihOxp0Vfv6Qd3jY
zck^+QB>`KXb{jByK5p_*y`6HMUs=c9Q$d&NyE+cN{XLt(&KAeNosOLr%ZsO%O^@7_
zNpF1!6~4pu>nE$&B{Ztx3z@E^CKN<jwXM36+IRC>skO8kxuZKP-3~=rYCdX8N^?x>
z2*o@v|MsWsJ#fHW(JQ<mJbH7(;<6jV_wMcA`0wNlyuPs9vG$^z(#c9u8za6Q&A?#S
zrDn1wp~055f#Nf`>hXtrJ5zIT2AF2fWJbxq!NGmWzr~yEws!^d3eqXXw2BJIe?i87
zcA?2KD9s<k->OOH=43`z53eyb!^*|IYX^fM6c4MxQnmW?>-`wLJS*dlMuYMVb}t<4
z4jeuI2z(qsN?j9HkqqQ7aYkP?b#!)u<@wV|I?UcmL7X5VDT$0|+$?Eoeap*I8XXYM
zfR4);`sR%cvZ59|u}6)*$D2`5fQAo6f%@j`|IisTxR~KkqVYuLZ>Y+aq5*0pK6R$I
zN~-f<h8sOAuBrkv8LL1SnQId4F_}V1XR+tQSb_X%(i=Psm{eg!fh{6(c`e2BI)5c4
zvE%yMf;4F<ls!Dk>IM~eibtGuR_aRw{1Owhb6J<7B0Jk!X8X$aV5oNb`qqdl5JU%>
z6+84-fwc;009--wsXErP*xA{s0$EvEWv^!!-vswzw*9c<HY{DSVVHTAmzVfW6Q;t8
zfBtyqut^F(_@Td(-t&;71qWc_=MZ?H5=u#ZzM3vS7W6E{{4X^M+0&<!0hC+>f7Nhi
zV85`%XP`o8Gh&^Eh2LfKv5^1o`rp{tU{cNNw96JE8lt1e77zfz+2P}P(90lH=j2rF
z(*xzF>^$9$9X@akGcLI<=lLgBm*7{;ZAT-2{7iGm!DM1>zuXuf&-{w5tEY#!wkxCh
zzH-2%kibXEL#=h^lGRaRkq|%5Amv*Op|_3@_DI@45a*$c%NE59h<1XRU~fdj(v|Yx
z?`}bRPtwIj64hJsl)s&LI4Fy@Z{8&6usLq?ZwVCH_nB>AW+^~twI@{CqSTHWtC)?G
zIhr|F?d)WR0zm0wZPuqlj;>vD^zXZHdwbGpB693__k7u~+1V3~lZ)4W`xHeWS6mQV
zxdLA_nJ*2n^e{B+Nf_K{!&P0HsX<UJ&h~OeTr0@xQc_fgjUr&l+4%l&Dg&1)TBObL
zxQ^~7fLW~`Pea4RPP=XXu)qWuLKo7}-R+Ly7RG@3`U%e*zIJqAO@Zg0XkGu$ySw%w
zqG@w-bJZ}4+haP47KFhctg+$W)M5>keQs{fK)BdtTnCOBE;1wpX)n-+nDE@79Yg?l
zn!2ql7dJO|K|ukGxv^vP_I}9Mh;8M*y((~6xB#;A6FDOH@s)uvIB|T8DWd_)8CV!%
z+<t!{zG)Z`8dBFh-mX|BySFd{CmBK3C4gK*@{}BMu00jC?*;}29?5y-KY5bVWR7(i
z4lf2B*yZss;O&80fe6}_eD{2EGE+K}uGun;j!RZbN~+Wr^!b!GN+r~EJ5J!%K^DWs
zi{Bt`23H$Cbv6?C2D>i0eS`nt#ZZ;l(^=4zz75_EeG?y}k~lq#iV{UGj{wob_%I>}
zyF#$@VN;>*Cx7FI3ehgH)99J&n<8}YwdUp)=D63PfbIoU05*-blLqe&2W~<h;aAb`
z9CgxPw6i5qJdm8y(M{uib8(Sippx~Kd-}-omG*<}?c^Nn<W~sfq_u}izB(nH_J%%?
zBT|hI`J`wS_V*4Mn{Inj7;7{s-~ETLH1I_s`=%$0tjmtCr4-lufP+pdkVuLW6vcO>
zv#t+b5bV&X*p{$E=z#szkjThLERqKq?TL^fY6VI|cs<BlCL&0!0Wzzg0I6U)1@hUh
z6DI#mG#)XEKWFoB1MXx1==k{1K|*-YHw7jm*8N#JmM=joEIb-^B^W;#7lI}CrT8|m
z6&EbuIO{(*@j!<?c?F)aXv+!6p2Tm8DIXEK_pd?2e=+RFUwq5hA7hdNbC`o}-*y*_
zA+F^xfr7iBo7=IFI>Q&{N{fm&-Q36&k!yLL?SJEtb0kuFFo^*yxL*d5Evg-e1P55v
zW5GZI0n1zrdvSbc2vk?&1O5+$+nE(BBQaJeM8cxcIRJWu&SLv^PCCl4n}-YwL5hZv
z5Iihm)UZj>9*%$uDv`4J$JtX_Up=Se!)iDMZ86sw)xWl_F90mrLQ^#J;^hip^m
zp=#}?b~7b$GoeU08rV)pb{Pb=MJ!8F_>B%Q!p=KCUexUS*RRm6TKqZpqiJk$V89#~
zWeUj!&GSZ!tz>PNZzHLQcj`vE7G~Zu>^)$!a7+T1Is1qR93-=Jb~7_W8Eh#YS`m*7
zu}2SEeXJGkGZM)}+wM)IOld|fM#<|h8S*h++X6S>b_mj0PI<YpNMLeT?XF`rt<P^|
z-DkK{Lnc}`<fkzF^rLLs0RkcZ0<`S_OgNamof|)wl)4Ny(&GxrvR#!BZ}<?npNR&e
zJNCG|M+u50<M$-bRqmMPF_EAz{z|5o`lWcT%(2PSedRA1Gc`eMnuM^t$vqewGI(xA
zS=i&_ZmoNt#$CR2b`lNga=2l;eyi4-^T9C(E&^QPEYBbu4ic_;IytW;(VzWd^Y43p
z^X$^J{PiDe$+KIO^chox$ASNKbuD3ycCI54<o?WFQ3&e-^C$IJY_IF%^@YySC#Y%o
zxzTGHpXrH-?G(4by17AS#pq?5gj(|9J{GhDMeIcSrYH!AYF+fleA;#kL-XV&<|_#s
zmg&fUS%MD=C{XsmP;5y$nyV{^#x_%%iA*ue96b=qe@V#_0J;3!TplV6HXP8pwLX%&
z>tP2x4JCw)GHj?J3ZiKsfq1QemU%5rqY@*?AuNLq$~aWq{b%Cu#mDO~z4rUN*~s;r
zg$6_)o4^pp$B-o@Jv>rWWq5dOgY;p{q=&k?IszqNM@dDx>2ln@iso^u9rI_VnyX7S
z`?vEj(Oko@_;#U{B+fzC)Rc}e<95P2|7)>3qrA+bVNt6UXn#6+uPQ3wnEuMP2V3*I
zb7IbH|CYE+_cmfG$&S_$SP3Y(!1iRZxbUs^v)b`WZd=sGp0DnQ*Js7u*GSx_=>`f1
z{l4EyIi)EVPDz;k93hYuu=_{cslprEF3oR$F&-LcrT~i<V%}Ft^~Sa0?H{0E<KX1n
z=6{eqpy{?;!(jJVV`>I<w<nbv>7zG0yW=(!Dheqi4{iM6CFkpCyByf?J?OPU2+72i
z7IG6FDjw=P4MTr7XZ~7K3{w3+7XZAO-(|`{TU%X8G~`pK)6{6;vPxwUczf2+GZf}J
ziN~P$?s$FWbb(FMNe92MjK!%wVkCrTrA{93M<B^pI`nQMc?pE?G#fO1U<zM&a=*oT
z-aV({caCuumLl*}l9S#`l~Gp4cJnwB4H%NU$e|d}+QYPXnd=4Cp9CQ0qy)e=9CVp`
z#uq#bx|*zu;9~i!k9->||4BjS@GDjv{~LopQ9xC=GMvx_!hw1u8p@&`@Gmt2;Id*M
zeB5nXH%}LW4x5vJz0ozv>5^_Ez$SQObwTJpjSm7%z;^`?O<Rx&Les1)%vYjDuV9}C
zQa_qXY>t4~rDl&~0mOaWby8Mt$q=_L@ObZ}Uvjdtck?3)uRI#nUXM-;OXY$oKYBQK
z*{Uj%=LQmU`pnelz7aSiIb_`#vb<}B<?eOb$@#7?V_quuUM1)6&wc(J!GT!UR~Mga
z-%M}_JVL-JJ)$fA*wzyp2wa(9if%;{!_c#{^Cm@9fHe32Mu@ZeB$CP@jYPP`#zycQ
zwdf|*&zuVv&0e$mx^fa~95xqvYPD#aubaoEwFU?{5D2rXJid16_uJ_b<VYPRw~?Bw
z9yO^%C=;2wB_L^T@7Y=~DlvI6(Fi!qYBK?lBjM4fD|t#5cAI;hp0<ZTSbfj)D5&>@
zpq9o4Pr@N`0^sWr7W1E?v%fED8B=9yE-!Wr%%<9RTp>xi{nn&(Eg7tAqJfHa)D}sl
z>XEL#J{iG@UGb&JtM}Fq7#5_@v(n#U6EAye=k(?vQIQ7=A>3LqQnUo{np1st8pv|t
z_3}d2CP6+Gq`WED<G7@ND)!!8Hu-FK6UnjiI_J;ddWWpz>kbaEN=NHF=$Ljzoj-2Z
z$7&2;y-No~MNjELD6~D|F=nop24i2TNyP45QI6$X>>)OXz*$f6s29F@vs&0Ba$b;$
z;D0t2+bi{0*v1<O>(W?Du!DphWj77`qy}!kukGyt#cpU8ppP@r(+d_s+UC;qH>f<&
z&tbieeVxV2?tHx`$lvbn?uLRXJS+^r7FFQb%*@Q>q^#M3&K0ux7aVj*M*ypuTC-$y
zDILG~*+4zPqf=q;^ZYtLq`zds-*LHKeuW(7)SwFy_oJZlp5pfTlY_t#G%CLp{?01^
z(7u1#2VgSD_RIKpR*32th#tOHdMyR*rU|cqgLF3a*!6`z$Nv7BRom&+J7m}Wm`!`P
zanOy%8(&ZK@I!_Q_8eeLZP^U-sYjxFh=@qph_m=Vnyxb*>%VPZME0JQO-Qn5c7%*l
zNmlksvdJh!S!HEbMoCFRs1O+;Nr(oLtz;`@lz5J-|NVIJe{pwzxW?~$e$Vqbk5RAs
zKZwPIb5Cd$P3Jb3>R*)svu1>9XYSbb;~OCpt$b_;s-_Db^AWJ<I(GX08w!37Ip1U|
z{`BZo`tU#l=*Tvh9@>~&QibM5G>lMe{pDTydg1Mg(8Gt@5lse1QQUNpt0e4FgsAMv
ztCCCCU*8%kXPNNcs=8IgCGKgynzxjiY4^vT5RpAyHI$X7Pa4E!ev)A@Z2R6bjbkx-
zBTDP<DtQTnhs80SC$-|(lM@Dvbg77I4qJO5Mc1=wSqWgJ4QQ3sRGw*k__!xjBSjyZ
z3mt*-&{fYO(;HYbBhi9_qWdd5dKq*_qK?>i#kV>@X*IQse+>-{1-ocxF)W0Mp2wJ;
zs>h;tdE!4%%PxUysQW?~Hti6O{<)#7tSqWdLBOJeIJ}>~XGxQwESMZ=i3#nNAP}gU
zaC8-xC1!+I-QB>pzXxTv)4OOY?9vyeB);T-vL*H_c-ltZzrS?v7<%9n&3BZ@#K;Gq
zoPoN-2Nc5_tT1K+D}wMvh>1)Zf<;_`x8jZqrz)RcgPHz;C(dn2ykO*UobpG{2J{71
zK>%wzG9@wApg04lbG?xiFuX@pR5L0fL|s+Y+Qft~^<?P`sjLOxtzL;QKX+M(wYzpQ
z+Rl-{kMkXnyB9Q)&^RP;nVB}LZZo-VdgjdR^VQ)$cVK~hnZrgYa1O*<#2%xNcB}uH
zBN92AEJ|+Q9!peNu&W#>TZq0FYBx6Y$WHcQ5MfvuOba`psVu%^8XUM!R{x}osy?_5
z0-4jKnzSF||1M5Bkt{C4P5Wp2U&|Fq<_3Kpj}EnojP7K-N=mTakX>sxTzcKMG#E}o
z;8JXUDbn~gYKD{$VOzg$acRzrH>!vJ!}?PAIc@s|SB^KwU+lekyNf^{Gl5q<ySNA@
zJ?w!%)B{X`DhpT*uLukq!qNgir4CVUTico3)p(|4>GK}~K`=4yZ-HCT6yxVj@r?$J
zyt$PI`rP;8Uwwc<6Ef)*xk$Y@H_xbes8ODm`23W_TnNHif>cv3R$6!nwPCh7Ik%%I
z+2aC(Y0h~bd-i^#G)e+c5?pR#V(9FF6+d~xcK7wl>T38HR7cY=fEW4Xrg{A-;=@H*
zOKqM*)jWtKb~4f%_rUo9jjR;eF+@goiauZW3X*pn@o@sKfG5(Q8y*U^xK%Ge*ALDV
zk&b;dj`L=x%j*WPLB80^8AG{F+%hX(KfFJ3#(#fO8|vVl@cSR!MSdc?ft1kuxaD6>
zjJkdX+!<TwO7zdFq_%@c0WThdrhl%7I3<;X^H|Ypd)kkAuSGGaEBTC*?N<XrfNS-e
z2myw2AO#p38*|aOIg~%Hs)8?$_1$A2Y5@(nCM5ann}9^7in@9|40mV@w;*)6ee{4J
zGWmLR&I#KW)}+=(ZyvkTb$ZuTEbvWE^Nn8#*hINiJ-_Ci$Z1o}vOk<6yn#XeJSY9e
z&X0<kuvK3_&lbEiH}Ac4+AWkiESx6I4Wu8{jiqMjzW?mU{ZCxHpL}TEH1U02-Fr<-
zh`Gd~@+-XkJw3ATCC@*`YlL+t)S3T?-+<<smD}DJo8xv}T3;aQuZ%9XIsjzHBBr2#
zj9WQuLkY=qCpv|;ugnyeffQ?9IhSVlAyJ}w;q*7T1FBTY4vate7%%g%Jmw;gk9JN^
ze%%<s2Kd*UU?!<E{^%Fqr2Z}QZAo?X^covq|Cpp}e7EsnXT3kl`-h*C*2cGeH{4`V
z%iF+KhSIJTh%}%fVqcFw1VQEHI$zgwyjv)5W;Ci1cPJ&K(etBpTE~?+--}2peZA<V
zK_~gRG0umwl|VQk-9JpC^6XX(`=mfJ<!B?}>VA7YjygZ|iJRVgfq)Z~r0IFjX@k^C
zj9$zLC;i88`37y)<4P=~Ouk_nl@7C<a%St~bTFp4)`9^I#|IEC+6Cq~C@L`UT`RCG
zQSYodE+Zq;`|)Em&r>W4SgFaQw4nO}%dE6ig7q&ZJUpk!kVNvN%`p;Sl(}^zVL$22
z&8UPqI7_|*%mOflN%w0-u~`Y$GT)ZL1;fDnk1KkA%dL&#!mZQKfE<gZ-!KwpJ!tjR
zV<1IP&+P`JY=GBXDxr%3at7wEx01DmMY{)qKO`gspdMDrKeYab`}xrU$T2t1g6@)-
z8bBLwNOk!@S|b9$|M9HzG{Wmm#R6)F<c#4f295B$X#g`=fQyM?n=0zhbfpzL5|q+^
z{U@Gt8g}tpr$0?CTZjWwgQ^QgHvb4R9UUDihGz!-;xzd*cO1oe&pC`u4V)XV+^uNO
zRnF@WD}UGB4~QD?F<Wb`>Vs6xhn}Nr&9wkfJ%KG>&x$v0d-duSIQ5dFFB*6voloQq
z0p0bIxVUgsYQLQ^_vZk%SC{xWn(7X$t%!Z&iY77q{Ka=4_S=8lj}`g1U)z21RKN#N
z7)p_QGh13)T2ypMXn(8p7r(we1Looxn3q9fKz`S?g6=8YlKo}pJR|ou0x#ntPwzfb
z>Y8Uy&MBil5I$Zh$gRD^8y@LKT53rfnir9~6}jMQx5)Cyhl)VBa_LWL^iWdMxbLHo
z+m4jx;${%l%M#A1F?>1Kh|Ow5y8Q7G&x7)h^ub~;6rD*x$wHtM7B`au<`#6p2Ke-*
z{qs-T?%!4$I-0Q+-6^RVpw9Xw_u=fP4bm)Y0-=lGvBAc*>oO@DP@B2)WR^UaMZ6*e
z<bPV)O_UvWXP@;W5TfUAr8HmBh%`1lvO;#sDe@eudy`##E=Z-O7I6Dc8O;T`c(_1R
z*gui&<h|Nc*ePl;f~%gQ4>~jTp5a?|y^yt^wk|6yC@d^|{+#<l>4OKj)_|zrHjzWD
zUtpk2PZ<UqA}9pc&F8ek&v<W~(R#Iwi9zB9g_j29mPY6lH^+zc&8_a7*Nty?#E-sZ
zV$vep6-jO=cQm#7o|nQOL!V`1`I}Df6x9a&jR%a!OXF(WpQa^9XS6W09n~UhAvIW(
zO50;(@8Y@s*XO5;46Txw*rBdJNp;boi=RUmxR;-GE9XtEt9IOb;r;}i7&FzgzP=S}
z59XnsJ$p7C8poRKhrg1)&{qAB%s%{uikcemiXhWrtURr(c12`mapq1P3YDtLtmdN>
zy5!xNe;1*lVB+n#taI=n5trGshYIW&h(?M`aazk+J<xx{mFVL`3v@;HS-H8naHvi7
z)`tjra?&VgfBJplz}ml~O;J!lW6K1avqz7l<mCKcT%wBP!`yzqzP|p}t;Ug&5!hgU
zu1Vz-+Z3Xtp%Ls+qB?_3ya-&?-ZybbnDDBzc&^PJzNvuBwK+Eyn+?g&hwsRa4>Ryn
zR?k&*bRAFsT<MyG;F#-IzDM=G-A$X@K*hZMCcS-QEB}ilapz9HI2m{C8Z-0BTK;qc
z?E?oQqoRf^%b2=mPQywHAjF|m;W%6Ief!k5?zN`Tkgzq1vc48=H72l(blTLTJN&wn
zFdKMFn}JXlp|?pdawVPS`{ow^*yAdb145hUMHVb+6Wi{D$23T8hA@ztA{)fjRpZzD
z<1l$U=kESMM}VBq{ubx>xC~VRvp3f&V!1D1B=y~qTSF4lXJ<+MDTF_Dw6vpq)%o!T
z-50O1R$D=xgkH-H7kQg4YH<nzcZhfhyVr$;Pz{|>-h0B1fBe?Mm!-6>JT71BwDt(4
z4?g{N$M;tughHoBgB-WM9Wl=eaOX5rsaK{XK;orVTxg7~URvJnNIu4CeMYjAsXKm*
zMH<*nnb_z?i}k*J3zH6)?%er_iFbp8#m9=wGuRei+$5PBtXc%WL}|z-|Mu-B_b2Xh
zH^4{5$A}QQ+1U=Fzb@><@g2P<8~tF#_xC&PA>pPo4F_X)VsltPVQy!~cYT)B&SC|m
z3j#9>OZz9f!@HDf1GZqeB2=ZQrj}Fimozpp5u`+j&fjE7gQq6m0k-e6U%w%LoV1T8
zcm2l$H4(kT4jYr;ACs^MzLtA0ur_Bx33N39wP<@wOG|X}l@%4^6B8tGcLFie+S=%2
zIO;r9Li)QC_$V<OV^H3``yk^b2>ot$W~8PHrs%u7yVLWktGae^IV4nr){I-hzD+)!
zPggIJ4{<>-la=CZky^}GmZMEg3w*f<;bZN>GefcTP3OI(;oK@>J<gh^L^hw&(d6l#
zrNEy9rWlqh=;7f(CMEf9*`{Rs9!I+;cQ)Jh9TbR^(qM_?OMX*HL*4G56c;z9bQof-
zl8*?fpt*4LwX!C;6!m2p1O5Y<)$GD9=R<2O70-Np2ncfLzUs|@Y&Y#-?gy4q!emLd
z6Jw)#8G^#BBA-kwuRJ1HE7K8#kK|@&WmTVF|3OsUqa**|CRZ0R!_Ht!Ve*cIf`$N&
zCn2|nXD>(oZJJ`m1Hw&us}t>Kk{PLr$e6V7AU#@7qGTY8pkfhD&fr;=wSPSNWb5{l
z()skYQHizUFn=nI-NRcNWcMH4VLtdl$(!^TmD#?i#p!sZjJ9UpI~@^7@I7)<q4Q>;
z&cCNjv4AhGZa+vcukt2dCitnnoDg5#cv615Yqaxvdoqz3pL??S12BKgur8G(_e)BC
z-3!>!y$mqM<Lp^-P-`kGE3ubA+O3XG%hesSAZENB8k(P--AhSIB}Ftq0?V-3>H{0*
zCFAW8!1|z{9;kG^a_%Uo#7``7zR?u7KRVQRPT<0KRbEa`{qr;oyy~=?pptFhj&X}X
zNks+SeI(zdm>96K(R~Cx7-N^cQB+8z9TSfVHJlZ|bH1S(EJGFVp@1nc)!?p>c5GT?
zxj4o?!-~9{H*P3+4I6DRK*<3bJtK?XgC*Px_)!xS)D}zs2;r%M0!o&#L}nGy`HBr-
zKe~k1W8QPa&uj18nP48SSWTu@&bIl1?McV${po#k<ucO_<6p$>P#=lV2r!H>pU)fY
z6+D`ojzKedZ+A%BzqkaLVWYp?k;tJTGFJgx0fTHU*^{Z5oHcUR`3+mRE#VREjU6qQ
zw>2tTf9Fy{V|@O6T~bogyXiE2A>c+ld%Hz5*~KD`il!Znw<7N!u;d{zZwR~K;^Jbg
z@^y=8b&HN5(Ghvz>zIDc-1`@1r|BY&pQ_)9Jljv7a6Z8*KXBlHOIJ44Xt$NB?X08~
z!Omv;xFBJ)Qb5V#;Rsb?Tc@A2Wb@yklI`6?l!O9B@rWtUmhi2JY$1ZV5*3ryf-MPS
z{>v}Qgr!#@O6K=3n3$61FbxTN6gPg591EuyU0iGkod0xX&h;Si+vuS>T8Czlkc+Z2
zOS1OoPwfr57w>ddU+m5cSu8<h6@ExAUAhFxa*A~5aWb%B(D@yxhyW8OZ4c2-1{`@f
zfZ$nLSsWP|8Y($fL|{Bh7lF_gDPjLtelIVPMD)02OFKrJ--f6jQoc4RBOM(bqE;8Q
zmnW7xqQ`=Bt5<RL%hJM*15xx5lao$A_7Y;RToGjEwiwxAK#<*;K;Vq_DW=7O<KLx;
zjMUV$G=IpRu{R)ycldHmp&zuQM$&mkPL47CqX7@FSP?GEN~R@|2}e2?XXg~kw;l?B
z62;}^@j|N5YUJlT%)Bpx7zAW)91$aE*!1=7ECS(H;E?mzP517xl<2a++Ec=*Sj>Pq
zRzVrqPX1_&{~h&<f<vjpVSnbqkO_lnJ|N4ZM~}X{XB@iJMB!EQB?H01W9cVtfL|N>
z_<Y9_k7yDOy+?R+G@Yw_D<vHrxyieQV9B;SPq!%z@wTM%un?+$tv>U{#gLSxO$q<6
z0}#EAx=5rMcHH00i$8FC<C;$~L2yX2%b<^no_-jlTnyEF)A!7%kZ8(24qz;5lQAc`
zHL{(6b{vj<oi1?W=$pmyxn&|+FZOb9q&k#q%X#l+B?t8mT;U_CaprVlJD1u$xs<2~
z4X=NlZ*5H-E7pPD0Y1%-{!0CL=@_`5Afy|zNgYw3Pq@E$30rN;@3k6^y<$$oNmd_6
zO}O*#+-dl;Q2X<z|6(p9@py-QO|B|LEUIiH@|_iBpWD0Kp3Dj5Pm@~gwm5oJOC3d_
zJ4-r>wg`kD*3#_&1r^SI(s{G}!uj*4OmW=d*4Cf#Sb_e2XddoTg2p|R1=R+wT)sl5
zLI|-532byi?HgveW{t0yrl)jswZ(n0)l1^p{o2;RfV$kzo>LgJLg71UT3MGjoEgr)
zLY_loLZeyAcsk*M?SB_uSUf1D*oh+}G}TQ6hAZHK2&bmJb+fa(RbAcR*O&P|o~gST
zLtl!Wq_Xn$YWr=YN((3o;O~QzqHuE_HV=FD?12HZOXY>FzpLoK3e@_Wq9`OISBKUG
zEoG8xQDS%DL9?!Clq8$t?T2nc;5`$LHqnfU7)1`G#`by0FCuGiX=w>Lch72SEQ*^1
zJIYr)>w@>P8-s4T1;y<;tRsTMOWwROBJeH}7EiyoWz+W3{lTfTr4-e<(2{6C&_8@w
zJyS(BR4Gv<_=l5&gFunz+~VTap$(digIfPxecweRa?VOzwJgE&TBV|*f<1;Ap;Mbf
zKrvujgfM{+Xhur#x#PkqEGjC>$H%9jumVx0E9ciEwxjV=->c5{o5lwWmj5JI-Qty^
zwW%TZ8KX3tD4HdVj$HmWOA+x+Ye2Nn(<IO!Kv43R{H~s1iYE+&Z~L?pQ|G9usFdM~
z0eJ`Hro20LKpLrj;rCDYSd}2p>i5rS*I%*3^ZY|L+BBm5%a6y8<p35%rEwk9-4y-s
zV!|oQqfT>ot4;1l_b2fzuh41t@@G%2LkyABhKN1Sfr`tY1MKXG-dNz8C?y&mKHT;C
zH5e6h^YgoBGQaKB_e_1L<)Q5V`fYy#3B}WlZH)nar$js-mX<1T(!w9W+2U9syrm!*
zx2W~mx5Z3$QAjXV*VaiZ=KNPB332f^ZEc0c#aE`*u{h|HCnw!8bI{P?{~LE7JpFLf
zpssjxVE-eKQ>4kxq9H9U&6ROB(1d_Ds_D_`caR7O6Luzi1;Wi@IEm{mIG0$0+I(W@
zx$*JDB_!;AVhf+Vy?bHRiB>5+Gt>65i{+HAzyD)5dMa?WQslO8yJZ?uF}V^cJNzS-
zY^7kJr0s)phBIP}jS*P)MQ$#bYE`n8O}Sc~cXpvw!>mc~qF2M;jGuJhqb(|3$SEi?
zKTJ%A*PO9qqYD~Gotg4o^?JUc{ERjh_tupwDjg~+=P(muGYl=2MYF2UcuT9aT|p4l
zf4%y_pJxQZuid@t7itB#R%5Ag8{uh2lhZHni1z5t7=qo`AP-U9Lv-l-+XXU-#;|8G
zvz)Z{X@zFv8BCg_9bcNtjTVKEC$26{7Al#>ENO21^0dx8H{(Gg!=E|kCL4L4<W|S%
zSo{T-x}||VS}>~#puU`6#oJ*+R@0D^ZWqijGEVMMtn@2=Zf*|CUVv9>+}zxNJz?(?
z{_S>*+c`+A4&1I5u;hdG;@TVLe38qSXj5{0_<eFxLmPzPv*J^pqmAQXu@lT|x6?je
z9Roc*Flji<tc=S@NJuD|x&*8ApFe*>T+8?iY%a!TZBnXz*ML=wkAM2JG}kaRTSrdP
zy|L@mcB5R?U|bwdu)<OY9u<+6#@cf_#_gm~&cKrmn7_n5WHriGN=XYRLCFgEr6IIE
zF6u7>NwR@_1rM>2BR=vh*moVdE^`+)0!l|y#a+u;-?%@4*L=+7%XjbHV^*9-+lxi8
zN)9k5Wpu2>7V?oX;zj(Q;m^hC_`(?o0xL+5v>4Ir!XFtf`Ec9;_IKz|T=gwEYH;<1
zC?}O9`1m56EuzNWk29gCxM(;`a|hOk#l?H&cY2L142Ku+Z40lXCqUdvBiVh=RBW+!
zQT@8nO4V8O-=w%KVrCvyGAI4zK3VVY?o*aO79(Gk!Si{UUwwmK=K9>zK~KNXovPiq
z*1d-7)&ZD|ptQ#N&-k7o0SgF&!)|7(_AnI?q1`s8Rt=-5?O3Uu(++%`ZXuUpCdsbc
z<r@<68}e8>_J_ZBWosN>2=oo|=Kkqo#2a(rL-ke}!Fwp64{j>&-<uMUzXsH};O|#x
zfbh%p)w}Y=KP%Ck@zm?tYo0wX<GW+y0v}~o8i8QTR?Bd2O~^$pTElC*q^87W>p-y|
zXBL}fw<3+=b-9O!CdVYyH`ql6nK(GAKtb>er6*nv>j(MGA`S^%!v{=&Lu763O@D62
z8l}oFezoy@loa$_d>0-OCMPG+CT$aykO=I2_^_yGp!S?3)h=dcW&r^K{jZB?3|=Pj
zN<Of~_&q)zIUB?oT{DrW0wtrKiuYix(#P}eq0WL~wcEqDc+}O^v0}QtmaZK`@59Bx
z%RAEBdqCoWS@Ax0n$z<OmYbK~<vZe9!iAcjX)Tcy8~bf;j!aXPt$hmDMpM<1Fd{|B
zFDT@{n@#ji{G&&Y_Lf#hX0Z_LEX*LK-K&8y5~80}kt4#z5;!n770wD|^sopUz3S)?
zEb7I$_l?frZUw->Cr{*MWmCV|U<U<-s&7plw4{i-%5E*VqKSjEt|@aDvRM5z45vMm
zda^tpa-cjVRPBrSJk&!Vc;2{7umvM9#FjffBV(n7<p`R_w7!Xp4ffMCYrm|_x73tu
zWI!M)GX32{@3h79j^|}sjMTjS`5In>yFZ9F0LvPnm0}r6L1bP2n(Yf;8E_>oN73fg
zLX+bYKc-gNaZR<GWs%~?RL>nfG<<PP`G`z*9C3JkQ2X~A*>39@X`HTj3go;TDk2&%
zG)uwt33xn28*&EfRxp>*`1|vn;IF4SdW_>qeDV(i=al15gdZI9c~u~lRsMvFD`{_8
zoiF+}P$A%3i&5p@<P3cDWos+&(HiSb7&Zd2UR``)Tq&(Jo7<nSI8jn|J9*;C$oRXV
z`)(~)ePXFpo>V=f>#HM8rCUE8<h2{OCWCl$<e|6MP5P)tO`TWk-8scy#m5+s5Ois5
z{_qZOM3_)&{XZ9ACvEdX+Xfq2cG#5zAljaD7%aY`9ycglp~Hb^{~pT75AHbT%EU^2
z$WX}Q`IO)G+$r4cU>+ZeI{}wD0D*jzSUE{cOQV$5)mi%+WXqjqZu7yC%9YdQb=n>{
z1m^$#GBwrr?wvNhV9oW?lT^5ml9Dw1znKKk{7E{sw#@!;eLL@>&IJy%E~x31PVLOT
zPTJbd2$e`TxNBBiQd}%}4k48mb$rSl7cX8+6*hL@#AcVcZGP3&1)j<oFE0wsnSN|x
z4`^$*CF}x400aZ<n`6C_X757|X>3dvfwMgm38)Ws@rx^=Sqf+tUL3wPG-pBr_)9v6
zp$9_22XTv!uMu{QT+k1>RSgOX2#}JJLJ;C6iYNvE!>E7Z;o-Knww9JR{;l<dQ}?K-
zSpAFL$T`fx&8^n&5F$4^HFeU;s>6p%`Vxo=c-;j*Z5b~e^&I<_f_>=Buiq3I{JqD=
zGfX2F#oi9b;1a(a9UY?df(0&wO_Ahyd3c=e9&2rB0kATGkZ0Qpr*?F$zyJIR7#h0p
z*SdjDEL{w^CD?kN9nshWT0ReX0;z-hqx0LTWf*xb33KnfVY#|EqJeOk%J}l3Fpj>r
zrx?k=nq6GPp$686OX^eGIXS7FTU&+rU<g8?I|)?eU6rJ?n#YdyCUUC~wcM{?-WwbV
z80qkZ-kFy-yi>l<$u;l6)c%m4-?F3~QIdcN>|^i1{~K~dzSMTCG*GBlr#<V|&M<KN
z?&Db^B_laguhq+$?a>@iHdcSP+F9ZSDF#RLIrEe&AF8x{e;>Tg6qB^j`flrmZ56+?
z^mi;>Y|y%nJT0F+$G3-?HtG|-lJYC33i&f1q3@c@<|X|%2ON!Mvr{^IsUHB?yJ<}L
zptPL1O;}rBw-DE^x~017GizDXOrPEN(?JEtidr28s=P)ZGl_d129W3Y@l>Rd19XG~
z(zg^Pd`9pD`KOYQLH8INOL_D!H7zYGL#n=zQ&H<#Aqxu&q6P*^8^Be6e*Y$1ijD?2
zFb`K#T54)YHSrY#9<8Wg)^u?ZUdLz!?zK&s$QWesjuvL(Tl=xWg@YFlH}`YLHhSON
zU=M)Mlr6D^f=9~8#3ZfM#T1%;G}G}v2tz{zs%tPNF)?G)pqx0Nl;~#X<fW}0m6tby
zUbOhZ1M>{jkNLT|Z22=8mL<6uE}^kF6b)L&@!}77fS_}OHV{(;gpk{#Zlm!P5y3bL
zuCy0%$LHG3lXKhD!C@SfN^-5G)z!uMdA8XPN{L`ewCw%X>uXlz;nXWF_47VOcH`+m
z??tR-V8VbO&q0{pZ(~p$_22(*_`#^i&cS>T_yQJc+PPD_&!|`TU7quQI8@ZOxEUEG
zuSO)E8cII*H=7O_Hzg%>FPAoeEkj333w=6QTS|Q^erx9E8`lo}H%%~&#Fmowk7f>7
zNT2R40AfTm3c$TDLUSZ8E)E8*+3FYId3wme09<IXefxF~3{1+8z_V;|vFw988eqso
z@nx%Hfqnw3Ch(X49uEAiB%VV`5E(2l+lgFB@iiw!f|9w1m|DOokr>7L7rShmj!<3U
z=6A32UuKx$xM;uh{>j=?E}$*o57i(QgLq@0<$e0BlSC6VA{(Wx0oS}78RysQswBkk
zY$KmBG$KXg`0?Y=Ta#;n{X<Vn>(AB*&wG6;JJ;+9rc}+ui8@vOHiXqYtgR(#*(TM1
zxr3JVVz~}h=Qlei^YOKmmXx5V0`12YiD5ARHyan%=Z_zCyT0ys4mi>93T($wqT;gw
zxig^5G)s-&5j5MxmUyqEB*JoVqky2_F9`XX42+5Qr04?=t_@e_qVN5@clYkglfv6T
zl5T2h(n%0}&KpZm=-*-_NW0i`M!O`zlb_h4tfwR=OS!zs0&Ng>FR^#+gbYx`;5&p-
z0zq)Ntq`z{4e|Bs*I`D3qk)$RYLj>e%%#AB1<v&O^LYfhVj+Rt=XdY?;97`!4u7R@
zzkY)O53i`C1KQJ<E|K+`J#A>nv*+wBG$YDIRt(i1AJ0w?y7R#u<LxR}v;UDU<NbmU
ztoSlJ?&Rk~mU{NAJTcJD0M70FReQPG=0_SD;3d<q)%x-!rfu0hd)nuvV2-8RgS9X^
zcc>@627?Eos-hB#SIpHmw4b-3;fLNxJnc&jp2m$r6I60*YgNSPEqcA1zm6n8yydIh
zDo^j;y=<QaR2ipKQA782Ys`Ob<+vru_6Rb~spBNNCPk)rx?te(!Gr?XmAryNMtXX=
zxZ%fERO$9(CtY0&+ntDM6%cmihHtL7@r2H8ZAK>Sc3aSLzVjzoi1w>9pCAuc%wG|c
z^UMVCK!UjxmHUxmbKe~qlcSPWN6pRGV3Qp7_g5b%`)Il&`9N;L8f&@k+`lKTmv10e
zXa`FKY8Y54)BbqN)6>(XddyU=qGUv+_hf>qKz2zHO-BW7Gstda6ci%6cf)HW0q+kZ
z#GEsy3nU`|H&8~>I=<jvP{#6q-|ca05sYCT-tHxmBVs*0JF9~G8lHKkV%&<J*7o-N
z13av(?{TO5YQ)70XN0Gu*+knPJ9g~V%=U=t>T2Mzh|6SU)w!0^O8uy5o1hwVn!#>k
z?*E3`AC)a_ZP33rJbzByEd5&sFs~$gmlqYacXvzf*;7<spF6dVtq#`W*JWMd*Nz7s
z8uZlm79VRIFLWLt`$EGE&l-P!e=Dm&;3BdzGHC|RuC7z7BjK>+-L+#!aFN%lUb5=G
z=QfMpO29kyE7IVfIymoO7hKd9#Qr8*dAWA6-l~ebZ%Vt^XXMXDc;k<(8>zoQ`oYkD
z(5MwVQ+yyqAYt~wNk_*CP*V?XZ6{zn7_1BSLt4P=^t}`mFjxFr7XJ4PfSXxyM?7M*
z&98(OW;pmYFK=006;W@xxQ(LAfZ%siKABX#=P8LMUO0>`;rAJVkqT2%k43~<$Hf%_
zV8=VG*x$9i!frj?;KSRuNM%A!<>{L~TG;gUx<7$)&6~?pN?i`+_#zo-i9b+(0Yiq_
zc=*=e(iyY*jtET+Yc=jG!h+7U&uFC>G=-Z}`^NkHr2JG%yW0xL=9FkvXb8))DT>3(
zcaJ=E>^th@;sS>x%7|k{Fxx`+e=B%|SOb(PP|i_CF_@zLdBu)Xa*XWWu_EiejmUk$
z9b}@rm$n%affTkz3?+4C$}EKy=!5zBk^RA?e!l<1%SR<8o#0iit-ZM}+cq*14jvsa
z(6F#DR45DplePJ;zX%Hlho93)eEsH)kUbRvJ0W$(5uU_}mId2LzPXVGEJHEbx3spV
zr==wu8ex=$r-Pl8(C*!cLW3<j=F@b8^pq6owRr5T(8}TQ<>24^Z~Q$_V~QaP+7>`#
z%$}Hx?+T@WbpP|$FLYIp#Ak_KF=ue9OiWD7&CRW?vs)eb*_J`|;^Tu|GAN2FIbC>~
zF=OF@PS9mxWQ3{=&U71p|LR$JmYa(0)+NVu)p9Drc_1Q!fW~TuYCV-tTpX02C#B`T
zYN?Il+p?064;q`Pey7^BB7?v<wH>e{cs?(q`DN+ddHttr0E*yFzIv7R$1K*+#K|G#
zxw<ngPyNo-eN7+U-KKi+-Q~T!9C|7^!Pb0js}%p!YbXg8wEo>judm~|9pwTXaVhsb
zFLz!{ldkqlnIhTiwALn}f47%to6wzr;r{Z0F|n&YTzWqZwHUAJIs*P&&(8DB&Gy<y
zj(f|R&w3wY>sD?ddHyPTr_SrL_{j9?^7$yiw(RTU(Dd?J#Gwj@oFm0)zN5lqLu|N?
zt)YQga_H)XveBpH-WAoe7ap(V?jNh8eONQ`erlzjzijX$4Pj^JEmK5w0J81kQKZo!
zpeF$iP5>YERFad$M@RB&h%sAsJM7!#f9@Q^;bAW7X!}>YuHQEp3HwuW|0H;K(zKur
zIm=i;Gzcs0`(eboh3dfd)pFvCSvbNS4($!_f<hGrshqn=mzI|WKW-_VDwN0wmseCw
z)pBuiLV-wTql54E?5yFNjG>(o!F62Ix79wGx&OQBZky<GfhU-g^W1yvz%hvlGgocZ
zFE10h4Fl(gYOAWNvmRgQY;Whc&w>oaB4bhlDbpgt!UlJH(JI2JAUpfb@&?qV*mDOT
zTJRKgaB$H7hHXK6d@3Jh%Qr8w)NYBL=Z1q_VJGCLnDIRJa`)&0gZHx4t4+1d8VX=?
z!ov6J>(zx>w=QtDmW^pJU^m?VN5=Pf519Jkg0_1oEURvHsVu^)%K3Qtyv2r#gzvTF
z%xICargPm6MwDod>NkI%>AMp4y_ExJpyzh~invWR)s;$V4HkS!ydw;R=6=!Sk3z0z
zj4x`fm`3td-z~w3Af7egJkTgsJ|}Y~yG_c8G4O6|8OuqUmddl~!MVVztOEy}akY=L
z7k@CgS^%yMPw-?4s&ZWU+L8p>+UC-}yIkEPv3HN#l~2rjh4qJ7uwQE<G@fIVvQV?`
zT4+(cOOOJrMB}URudTSOMJCllnj!@}3G0+=Crj2m)g}xTgoK>dw&~P;pPdLE{=-6w
zYYXBb+(|$>1==6sp#cFOFo_dIrMQ)??UDD0T;hfVAO1P@hVRRoF540y$I^+?@v^gc
z3Znjbde9=~=hO9tbi(}h=QylN5=-_r#(zJ2heJ@&uwH}<M^=RDRl>_<)uMJ-5&a0e
zM0|~?92%!E03-9lXl9xOJCag*7@*@lqYfp1z5}Qgy)4F0d^&G#Dkk06gL4}UyX1Ca
zxivE*ASf6|o`1OTrj$Kt1bS0cc*Aqy3lKNKqYl~V(vxVeHIDM~r5pSr28F`_73D?m
z=2FA9{-adIQSGl@t^FzsKXvjXNB+yqB!0>Hn6ehVQCkKF0~vUeD0=k6KorUsuHvS_
zbDEnI1BcF&4WFVS0H#g2pM?Gi^bJ|s;RY5ejlgQ7go{S;pAK`zc;_gY(-5#cat*zy
z+FjczZX^uvj;ulUo=a$|Ui>+)@;X*K^xrm-x>>44Jyv`;<=o9d=HY{yC1xC~tl1y{
zVv-Qr+cNEc?c&*ydhW&tcNfZ>UNoO{oY3-+XkBC<H<ycO#WjCXt_)vRqnf3tBw<
z%K92YCt(D(qVDAE3^QVzf<fYL?REFgDjqws5;Lo#M~Mcip`G2`Noy}3KYmO*a{3ma
z@H!Gb_aNLQDCUzhp4IFg;C*3>F@i<7!<A{kPf+u~Pp<<*FDV*BFc_?l9Xr4(>5wHZ
zaW=NlcNe0=fHQcedk@3Q{?*k?rDYs;)Mv9zXDQBD`SD9sEO1mjZHKSH(ZPYJM&J_`
zj=p*uE<4(kb`FjT#~$nb4?;DJ_<00Y)^j-Ip&=pGr^-k`Cj7I$PEJM!92YmR$Kca_
z^78U(Y8S>{T!zUiAcROh)H4cla(F5M(*djxn<%-R@D;+}#d*cH7&pK@+-3$L4~2mW
zpBD!O^Xbo(m3w#Z!vE-0uTPF3Vh3-WDXp1#Q0#u@3|PugV_REWySaUXy*%M_fU?5@
ziVFv$UA-E=bl-+d+Ouj~wT}X8ZpNp3NzH5J_ub3ifBcxZOOd{iuDLQbIcGBL(I<*Z
zVLR8|!<*ZWoSLfdb7=cxMPdhpc`Ce*015rEBB2S9EF<Awk^X6ap8fu!;Ct#w=qOvc
zkrOM!^JMc&;=`w|QA_!70<^;n#_Ff2e^1%s&Fe!e8zlvzWW_zMx|<W`zfP(yOMd=K
z0$7)r;_)&{|2a*EO^cq2T}A$ykY~`gyoG3kyOy<qC05e%{|?;LOFLW+%yGEY$)m{l
zue1v64+zp>B$M2w6uRdc)2~+(5=Z}H=Me_mS+MPcx|H|u1fPzj);)5hJBBx`8jeUe
zJ6}p&eK!p;2-=Iuz5k{r_`|gvuPO1t)>v3d%Ea1jiP`r|L5u}DujyllU7nVHv2`Lq
zDkm(gD{gTmF)^dvsi1QkQzOcp{!mt%knK^zoeP!!;IZ2qz3BBZqhca+;*WjUoUH%G
zp&VZroE^a$)MCV!`t<DJOCM|ed0pM;tb_u1ic=r-@<JjbIwCYCkT`N`gw+`dpMkNR
zn3%7hMV%?C1~WC7!Pt0g`!+L!JK~wpUOPbuD0wx)&cov}Fi_$92?2o-RR&`(61!un
zFG$gW#Hk$k@%Es_9!J8hs#ViArXT$BpO%{#PLaovErwrVXxO$Wqctr%@v*AsKD>6+
zs<`}pj`4Yx4|qiReKOD3y~T%ZJGz*zu>)z#F{S0lu%D;txfn~(HA|ETBhS*ut_!%s
zyWYbePG6z=(L70$a_VAzb;y1*iIx}Q`nxsG_qpqx-j};ZR&;J+CbN8s6Q~=qX0vi~
zF7Pi#5i4i|pQ<GvslI^$bLu`ci$M`tGt#X2LKAAuSL}hfm6|n2t=1zj6|r(Y3iS1f
zo#8Fvyt>o7*1oA<BER+Up$B-zm@5e=pkSDMi_xy{l6u3iILq5t3XlwkB+eyzSnz=x
z;x#oE4vS?FXIq(oBL)TzoVq_Xt|lY^@OU!df$zd8AnGUct_LKXMG20a(dNI2@E@MJ
zjo#R}IE!cgMP|ipj><hd%PT8W(;`Vg`2=+B?&*2h*f>YlmHxEcnaTm+A;ljc>~xYj
zsH<Bc9y-@A4U0ijF?@<J8vbHg=0|nN$mo(`-{9tESnd=HGqc36>MoAN31FxeU^7`-
zx|f?1));a;3s*=Ei`1_&%yZ~l#>Wmg3T;*?tMaPu;W6~(qYV0Lo3+Yn^P4Mt`07ZR
z_5!a-5Ep=9BJi<3d8>AJe}KO~7TdL+W5G7r?x+$8*TTIT<icJU$Y5X}(6%{{`H{5e
ztSaU|6nY}QGvI+f8{vl!>1iqtbK8|Wy6%2pW&fmE@1nXat4vxQeK=b-muC<+7ehFk
zXHHTL%k7n>a+mXux3SULaeh^7Snu5BRVV#MfbZWSb-fIiFfuI!hy<R4nhJ6Sfc}KJ
zz*^lq{E?kIe(me~Y$d6Dr|PPkhf>zo=4yjW<$8tq!{>iYQ{7=s*-^pBk=T*f3^^Hm
z+u+Ek&t#6ngG`HAw^r%uMD*NtpB|rvE!py>#CBQOV!UC9`w(|#{p5)gY{4cVBE6ga
zr6acd{d?Tit6+*tMSS~q{Lq7DIYRU41mhypMCNdw|E}+}D@oQ8dFmHJfNY^?qtaS8
z_u#9Ewtvywj5N03Tn+D0O<>qaIEHT-UQplAP^S-qiXl37sjR82lob$wc`E1|$ai=O
z1_#uNU{&M+eB6CR0qCFLyyKxY5y}JbJHuOmVJ79LBwM4P+>ytp-yv0U-lgi%I-{rU
z=vdG);nQ#2F^DcOG&HQ@eJL-i#^q9Rds2uqIu5_b%E8f*g!M#Idx)orL*=#zP^^1g
z)O%K%SFof|S*Uh&IyshoxDev+e;DFt{a(79!-YehW%uuAfzm)}lQK^CnDpv_+gEM$
zztUK62$pRa?u}r=d4#dkkCql42bQ`J!E7$V#@|q*V8(_&vctc3@}9pUzl(%V=G*&W
zhKAO9cOCMHLD!{MzDCBnpUkagS$5^Mbo#-d0(=s;7zW~JdX-N*J)8+btab`aW;zEe
zVx`vX`r=k&kGz08mF}G#b%+}0;NURiR1JT}Fq8SJ+U@f(f)?W@o`O{VJ*@H9u3c-I
z;vZHT&jVx)RrHfP{mR-dPbViG*0IagvABBms;MX|aU>jt@lLe8^<M^y4DiJqIbW7I
zKBcsfte)Hp_xyj)VJ26CE_MXhut#mWYqviK-Y`j~7XktUJwI2&FsuuJ0mxUAwMY!b
zzu0HNL=NI$U`xHd`DVp&yH)^H$IkgveaEa|K-*DKP(Y-Kz~{)~xW+#74EVO5gexHn
z(m!OjpESlgh4SaNh{CPQ-K)WCuQdXj+68dgYiQU?WO|9U4o~pVhi+;->X*inBsrO}
z;vh19o_vznHasvnwx-th=s7d?POvq)fYfKAX9GCdL%tpRVDS4JMEMYY-?zXD52@wt
zJzSW&;YVzE-;um-z4Q-h`gy>H!6{(+nibzO>?h#&m4~e~nxFXXpO;BC*N&+EKF2AZ
zb?s_Q=?huK(Pye_Vm+Uuc6Wo&$52lmAzvjZvC&p|ZS?L<Y4z=BsPh0o?XKbeSN_EL
zd0uGC4?w$Fu=MJK2xFAZlhRq5scw_;>pgB<=i?F+>1&77B|d52@gP0TkDzgAw_$~~
zZ=G4AdKfnBaBeCC^gKPSoVSag(U7HT!4}Yyj-}y|BU8ckH8s~gk`fX=%>F{zY-@`#
zdJ4W(_cEw0+Lsj(>1wlf>_43G_6BpZz7QxIS2!erm9`{pGlXQwTPe2nF@!P@MS)}p
zeyEKNPx*TURsIvoqw2u00;uB9&_2ooZf^HGT_B(8izSPhin{6E`|jO4cv69-@}sbL
z{^_n}*TR~G=Wh2%XZy-vXxT?Ln#bVKcV%rk$2?r)^>EA9KGKL2;o25|lM+WRu$F~U
z5x}WGfi4T*Strff{NUOY&!fU^>pU!Gf7#HuVEqrt9l{Db_Eo_uUr}N7gQT?gCz_*-
zOBPI?p%jr3Xiec%bohqc^hw0I!vNeLOkos~l?^Yy`%@OSwvq;C#-+y@j+&VTZUzUX
zRYqF!{kwvLn`)`;gzmVeF=AZ|v()wFDKAwwl3U4R^D2)#W*8_o?3M8s*yyT%asSLp
zW{j(oW0*=Y@P6l^y1oa^M<685HV?-zUtq!2wZvveoQh(}Z9_wAt9v@h!k6k2m4dPd
zlcR6!zD5qq+Qnxn=99%S3oM$Jl*!H3p;@(wZv(m{Q}mI41Pc^6%yymKh~hsQZ@x($
z(ccFo1#Jq5kk`h@K_Mh3=T`P5(=;-oRnAg9U!_hW02sfPlA3yFQP2N>x$j|Cka;T5
z0$}#RgX9)_1mx`_`4A7Sp`lSb)Kvkp=vmlDVk5(`&k`3ULSYZ}f1Q|cRJaKT7!*Ck
zZlK&_A3Zbk312a&2Zye2?&inD{P=MiW~s!Iva;?sZ)hng5#!x_-@3WOvNZI$qA&J%
zm<+@uB%m4PAmf*j@kN&lczoIAC=pu6-AKJ-^A}^UwUcl<>5)?uBthYOJ<oGXZtVO%
z_HDZD-m#5Ef)Y=rZCJ3b?snoA3K|f&SrfODmd0H<IY9DBRJi!%_J1q}d{iN=m;|8Q
z4gjU3Sn<c~Q$ZCf-yMl^`QV#_0`?sF2G8rhR~}#_<K@k}c#))P9{z<M3Xt98P7MhQ
zs&+%_jzJN$6B=ouc)j}sU7!+@LPtQrId@-f#jq9c9QOyt9E2|B){N=Ra75g<+n6AE
z6UO!B7a^Hbc`_JdH-N?2%Ut5bDj8;x+`cSTb~r&-`y&nQ_HCz~F24)um8v!{zEn9+
z{gvrX&$p+Sg${oVjF{m6HEE?~w1F$?lp_7zZjjo5gyVIB7Lqq*a`2T9(g?tR)4h}O
z^Qd5kO2K|Q!t^mso1fz^UN6x#zHyNae(;|EI<f0Rc1Z%<%CoYvz$yV^)~AW+9w}Pw
z8^i=L$W{Q`A{55d%<SX)_XN1!preKltg}V_KBTqeUj&e^f#otk|Jb$9DMrFq;^Izw
zda`>J-oDL`*$UqvxR&Rh$Z=Bla?fw*^?v$9v<^caN~{%fC}A9M&-f-W1O#rRV-5A;
zTWH0~+P6}E@BT4*V$F%eNa1tUN=yRSB%j!zmb5**>BQ;s<#jsRC8*$>4GlXkvJ@s>
zzahJh-@58XQ)AZ@S?<_|l}{l)_l?b0MF~tyMEn0Nv;nUyt83L=WjMS~RSCh)6ZMEP
zvUrC|_p;M4w$dCdEVA##BV@)+Nd8^TKulX!crt^GqU<=q<~vR5z0AcBs{Qx-%^LIP
zOa!Bk{73Q?xA|YbLi`W~smnFFhSk6j>~kmw`hX?&&o7@&e#TRxr>9qYqc3kht#@KQ
zI9KEf(|88N7{0f+xEtd?Yc(@2eLqa_zIln^L{7%_>nN%<5c7IvFhuKR|Gaj*Tzv5D
zTg{IKFefCzBDLIc)Rc?i|G5Bd#6=Yx>g+gmi$8#Jh;Hff0j-_6SV^U}BUh<q`*u&j
zp{WdVs^EDNFXA0nlajh|a=|D598yai38eaj*arl-@=-#;=6U7}c9t|C<^?VB?P=oQ
z0|9HCzB8C1I@|W{+lLKO0sZuNYH~8)Ggq8~nC6~OpMW-l{HmO&;@CA{GLt#TafrIl
zL}YqlAq-(p04?3+7Hs2B@3G_LdeA&La;u_zss<#-vCACMi$=Ph_8-Z*L;t3|I`pFS
z4yU3gSNF2}ll^=45QQyK#!O&j;0L`QCivL>_m9z?r6Yl_uKL!-G6KWETq$UWH>^U%
za8jwOpAwgjF86uPHlO_82g9_g-`s@ZO|@H(z_ryQHE-YY5UE8!4-Au)UjKUMHED{8
zl@$%2?69Bj{)qNCLZg&uv0hcoIRS!4F*MED*)%db|1Mks<vZj8gx)<Q5yj_XZqkg~
zaYifWot`u~e(vNinh0wNVpJVLbv-ULkC51QJTJeF2UBBBO;n5Yk*c@g5#xC-4*2H5
zTITco+_i^(2%3TE1}@6+^sKB`Qbw>5ta*o>H84G)W^DBpx0-L~J{65v|NT36E9<`z
z)+8)LM^6u-RabRvO9v0x9jdsGk3+%p^L-Ohb_r_)Ba$E$4kE}DeGFZoQZ`HB3&W*N
z+l+@AF{cS0oynOPLH?|*C3ia!oLcvYiBY@e`3aA&w2oCaeJrtZmD@R0;JD1|^F>Z)
zyPyDNrmN#bs`<5T#UFkX?JL8TWhlPy*nc5s&Jv#BG?H~o2*E8iFLw|%^ag#=1vzDy
z`kISv1@Kp~RD|BzQz1?;an00N_?^l3x*%GnX6tj<bvR_hYwCZetA$$X=(b&#+nFZ0
zU(#`FB(I(d;>#A#{mmLBm~r95+5?0JMk)|@E3B_6#}f#`@p~svgwEVmcs2PJj;o3G
z_lkzSbra|!-c7&h?#@&8yVo9FZ2MAhwtQa7;LP`Kwd(O;j6|@mssFPe*e>mP+@UY-
zFNhDYe8NJkIHg0s$;aBs3C7E+K}&WRR<3^mMo0<^T%oq?s4ad%FB8U-kmZN}O`axU
z<v`|9>T$gTMXK@SAZr@)W;_%(Q4OU$?2fzON73R40@Bug03n$jyO|GxF%Eu~sTj8X
zL)dEX&>p8Dk!IuDhbVP`8D%zQ8h2(#cYK#QSAr%HcJsEE&xKEw+O^*eT2{b34d;}4
z*a@>}GLnr4dOr+)Rh)ck^3hn0kW4{lwfZqHF5%d%+iQh<lqhuIv_9vHy0gK#|7Jec
zQ5+R6ZOf|C&ilL1FVnPC`%Dnh`kJRb*F&kt&A2$|FVos)j;^e}4f#zzHMs;bPp7-L
zDj;H}3Qb&L_{3wqU-H;-nx2|;zANA6gIYT!s~~xSaz`}S>sDB!<cM#U(^NftS;6uB
zt=@ePGLZEJ0>%A`d024mXDRy$Prs6ntR@!%c?_^%!8eRs@JbvWwi&;Sj|O})1O+2Q
zq}?gs`~JIWsfPqzvBu9Ieg5}Ri}HY&P!F6C*vmKeLa+^R8}$}pY^(Adx`E7t)KqQX
ztL7Q$9bfYOs+;VVzJCXu5nTxu58A<JY?Wd^9`w8@*Mc@fBq6kW>T%RyRPY-~5&1*Q
zvP}6a-po%JGA0R)V2KSKme|a+&%%m(+gjVI6hn{_a4)xME$sPV-MS-2jk=G}P0{yQ
zVcakntMKJ2*TQV3fAWnU8m302M3&lX)-z1Od^q$fDuZ@Se?~(32R~jp61YwC`ynNB
zLccHNJKmSsB9DF^EEu_>_p#Z%4O_}hA{p(C{eK-_lA>DUXX?Vw%%@_4m*c+}3tpLJ
zYk%ww{~fH3zcW>zR-l$iPQB!O{CjU_wF1N8Lcd=#9}3dqM-@^t4elPlX9R#q&{JxB
ze;0lV3WT!5LUeX|xViC#0wFCpcG}R81|zrIu^}LtFj6+SOHE11Im66;g}hOU;=fDb
zwu!YpC-D@6FyS*>E=Eb(Q6aR?!_LkQW4&4N6R=QqUVxk;mi|K(W@m5;Yjv>a#FK(0
zCP)GF>COQcvBF`YI8u-TMza=U^vurLmr^~ogAy6e6oa&!3A%)G?M#=}=q>Lo%9J9V
zaxqz1Ec}bKlhPN#Jihy6tvQ5XUVnZ)INl0$1R`GtP8|z%%UvS5LF1L(>dXDHv)3km
zCo3oV-Mn$V)5ZN#5EEyBivzASfdd)kLAfG^L3ciqe*2PXTMt>H&7Wf?e?~J%^$$0+
z9C<pCxcb&h+rZ#;wz3~^ek`J^JO+M1xSs8y@c|(pdx<H_w&f13yLYMmYr^gYIbQrG
z9070&x2a7nr^0jvB)YJwBR3bkJjjMC5_17NPiz@aj7u`J+-PIp?xzUY+Cad&u$B3W
z-j{yR8wM(4rh=>H1tZUFEg{7brr{M2O~vS_sK%5MMQsTBzQz57s~)P3>l_^wPH%vi
z3#$A6Hz}v(Nh5R`DFPVH;2!SZxd6GV(0f+0F^B^3l!Iv^L5xuLpOlKW2OLi2vzs{%
z8>yWMU=k5IMGXyG2X}>IrA3s{L^Uz;@F0E=EIS0qD+UHP7aIsYH`<Ug-zWH$Q9GcF
z;~bsW(MG8^2!2~7W;^e9e;rP%*!6;JpZK=^09M<~h>4V&H&wvkl^yOdfj$`_AqY5)
zC$?{A&(5QLBYGbc9WTsXzAj0o+D$=57CW8|&?%gpfGg<42`IyMF58;?uRYEu&#z`y
z+z(5$CKwTK^gAZ0eUE$Osp3-Dd@}9<`<yy;hMtSdSBPk_&3V<N_}RM|jvgim`5GC4
zp&o<+!KW#Xph~6X?HxAfizm$zodTN_ZBXv_N%4;8OP3h=U4yKrf?O~2QNoy%uwXr@
z^_O&M@=1RXBNh>RPnQ0?zl_!|spwXev0WD(6tx+K`VA5Ut~L-sWN5W{>M_Fre;e=s
zUk0=5`RTlJ63*`$WZu#zVg2y$OA1o}p#vNMh%&Fm=<sRnX}7}XkK@wO-VUHk$Q_j6
z7JDn$DIlVw^DDTH<>rX%P07nULQ5q{3NHV?y?ZB=;0yM$r3J?bsYQ^&o;Z0jZ|Zt$
zRyJ8Pwtc%F-z_L0^oMb7qhIB*Bbf78(f{@CmjWZbZs`RLvh;v<c3RnPJ%R-3)Dw?(
zs29$4-L8H&eSZ3GCYBG)q~42cqOT%8QGh$OqT-?95sKh=qHPVXF+Y`ca^#xfU3~p|
z{8Z2O?yCUQs@!_=^RACf+>iVpknwSjOp9-E;;0qL_R$nQ9`Lq8K*628abxDN<gS0h
z%(@9EnT{5RJLNq*R@7AqYCf?WcAb1E&e-Z8T$NvHKe<<uZnnFvDeFD_<W}nxg;{;Z
z+`jGnwy?k>>vDBgLco}gHfTmw%ER;F>L<?b<(&!lVAuBffKCfUqtdgx5!`K`_3@(_
zaSvAT7(~b)`^tIy?J&WtkFp>5{|Z*8Bazvit$e)j9o|N_eA$iaEvm>yA8X*9K|w*t
zum+nW`>;s&G6X$x2f+%(edJO(4_l*`S9jnybJ+JotGa*xjc>cr^E&xU(@wZ+cz4B?
ztF22G1+X01h0!WG8Jwf77p_5L!mEq*Pe|xa#m2|)1d+IlRY6ZjM-^=;7M37$!K4`~
z?cxtzS<>2fc6_qyxni;bF&Ku}gb$<PN>vKc7S<=S2gCNGQ7msMrqW-cy1jlO3mZ
z$Bye+S>`8C>OHOQd;~rc2!j9wBzg$poBwN_^z&%5ZLaR>B;|~-Md%&Tn;4)UwqX#=
z0Uw2`OKPJS`E@uWG%<?ov3Scy8$vau1;469x#<LLk!QffT}GjQA>HAd%2LX<sBDH-
z$q=rMCAQP9=^=+yjaq1MlR|QXT!5o&f}1fq1Wa}OyRgkdgrufsqm-;)IjKib%zqpK
z^b1R9FVUgSEsZsULgB!uFT{II2Bs-LL;k)mI*w`y+w!1XSI%g%ROYxAm&%m>Ajs&@
zC&EUP!~PBat3$wk#R#lr?3lsT1qV}6BDPuZV_2M(H96{>XYKq`*W6&2p+MIps_^Qa
zR4IhFpA)L;Uxu$75KAYj?VQTH<ULkIt)*#Gb8{D@w+82fzITsl`{YicYoNCKHLr2s
zR)E1K?uDahku+4Hop~BtMn}fElodtdK;^_?#=`Fh4gDq?kVY^RPR|UIJD8RU9~Vut
zRnpi;LK|TuyjN7TdTa9!Z|Gb(F!q%HRAV)la9>bn3P|NYp^Sv(V#nEvbNoBc)MyPC
z=-pIZlxMhA%7P^s1VexPa=%{;La&5KWlW{xpHGzaxw^Q-_ZR{X0~c(_b8&ha{y+||
zmv;PR@UgUp=h67U|93@G(K-U{uU}g}c1yWgBiH65RF6zSR5&yrEuXtjh`_-V`zjnj
z#!KM;<u)+fRz$5x=1X?A0PlHRR8y5R=7{I=_9|1U4Ch0$k_W&QCXzuXCYA%Je(-32
z{R<`gyRC?=IV`e>$~`q|%P4vNB(;~(`-cq=71h)XILWl?*?nSUzpD6#Gy+X;h~HDc
ziR=VwmHqqSG{-qutH!0pxUw)5S|4?XmZXH(zTe^a-m00gq}xD5NARe8Yr07-MSyF;
zt9>oE7_>73gB@MIxfdS;PX<ngsPUYfS+Jww;80v!LsbNvp(rmu;PDgyDiPYsQ91d3
z5^6wP!WwJrhJ^>z^{FiXaC3<RL9`Z`*G{m0BNnh6r0V+WEXamFSKdu~xVvBL_#)(-
zRW0-M$rGwb9I!o`jKh?61*CIVSBW}TVoCqb93H*}f7ZPJR^|?!EOFoT$v|6JoSMqa
z$$`VH)(homdo-N}ccDVd5`dWWlgCpO?Ni?pjfr1@=`A20Vqy=TKhJ4d!TUSUsRd@}
z8E*5yz!hRL9D0)ss8VmfA)LQ(!Ozzhvh{`MR0V^}J5t!|bnh@}&b=-A>Xg}^bMEn&
z<>{&Y<pSYwy2O(S#N1HsS)Q!ve;?;jf}l&M9Muit`DT^0x5$_Z#+>r<C)3fh5buwl
zLwnZ0$NrJ)t!n2b37H!B5nI#-o`rIAwiM`OiFM5}e^TW9A+TlWd1zITCMIl{>H_Kx
z=vG?=)<ejWb?pLOI#DiQYtt)e!c5fqtAs7vL<w=bM8rmS<V7ousOLpHc_tr^JNu#i
zffk%4l`7{^(6K1Jxy9d60lFA%Gp((#CpKtgWMo(0yZvvLMYL+dE{<KhYGKHio6F;K
z$L$adumGarf9~t;btpG~6__{yAHO{uAaDb*r;l-j9Dzg5(5m<YGYQzY#CnZ2Ax2!p
zt~WH;vKB}Ctndu~3|&eAr%U0c@#p(JZegpnBY3C1ZgSL-jI6Bwxj#NAhYy`l7Hqe_
z@RgroVVWY0TFrk5cN7CQa+W0-UmFvY{`dJxv*l!oA0<LS#LxG8?-pYrxzs-~@*zR8
z>Pe9oscv#XPrts#_&`LUARpLqwKbKA?dn$^kA2N}Msv^qXopl>6_nknb(pH$f#dec
zxGhBn8sR3}%QpfsmbQu{g#Uh*$Adst5Xc}KX~aQ9I+pDmuV_)zlVJU;mxizIbM6o2
zBA7i~OJDt)53|-bAHn+<k=oiraqXc_Y`3vM3Ys1TIXT3rMBD4ja}sh6W9XY^S9pIq
z=dg(KS?q)L>C*qb4Lsl&l3*_8cIM39J$smni>xbaL1%!39-@6f^{)b%Czz}>ux@$(
zUQS9%%I~X@&wzUi6$1kY1v0SSyJIbjg*UA77^tY2tPaur3Ro1h@h#|d5zO=+YLzlF
zF?p*z9MO03T&L-BzrNAN!w>FovF#BKy+iLa#?$q*h?M}fTuhAv4mo-|v?pg3tU%y{
zzzZR664vk4Osgtyhuy+?M__w3iXpZU_E|s$?LTclUU%tt95nMiS8kGzU#1cNcVgGC
zYt2;Eoo3ejYC5U!6DDsOUM4I23<3?T@`k4UH=h#z*fw2hc&T<0CK->mPFTysU}zpL
zH;*h!zzYFQf`O*-Ug1)UeAbPt-=)nJ*lg9~YuTeFh(V!Vc6I~^n~1XqHbYh+OD|7?
zD+e~<3J;M($&CmF2r7cMjLb8*nSL2&w=kD8MwFFFc2txyi17215Pf>PmqCHbKc2t3
z8MC&hpzQzAbscPJY@T{pz!_jxw{N%<4>PF#QM-2>V}wU6@bc1>A0K(3$Ypoz0EL;^
z>e^V!%jcKudxu)e^2&e5b0O(V@^RUONhZ4n18*^s$*?;6LAtplot^z>cs{1QoDAd$
z#8l<73THSYPU#QyR_Bq7gAEKgE})v_U04}Fw|~;yTuEkCHnws;(9Fh0J#=O6?c29N
z#33d`L;cXad>p!F4!58N#&7P}RquEnOUl{)<Te|SG&FfZahY_DqsK_1d8cl~ez5bt
zp7_ixx(1p)?Vk_esA^vFv7=&XyliZL!}9U*oOHKE?L!InVA*0uAzPZ+$I0>c&axD3
zZuR!v@}ed3tnBO(=8p)Ppg0o4;1SA$d;_c;KoZT$QabxduCINoRYxqH`JzeoNn~qc
z?GVdi8K)z2x>pF{7y|=T99!B!A`x*lRsW7L@g>%H1F_k2{GO1o@WNo#5xH#~V@eB?
z?Wy=y(BhFj6B2Uaj8;lm{q+mXs0%A|0~`V_*j$c`<oQ3ZFc(KnM;?bx96WGoyJ9Rv
zcMVrI&FlLf=ddOCO<dhZ3=T#5!>ZZz$+}3_Qa$LTvmQdo2IH8zh*`MU(a~|A7t>-S
z25SHPvs%mw!;f+$8vaeUZ!bh@%b$3RA|R5D%pORm_9<Y-p#5AsRtNncjcNLmfZ31G
zxGk$nW;$5Q1(E#9*+z65!>9$Y?i|v|tYfciGT-{g{Ci$)!PiR-8xtJ#x=D|HjHg6i
zl8}(VncB3WPOHfDTEImNDFie=O_e8$$e=W%^Fk`-{n}a;0DaEEN^H%eUzJ5m4ua{0
zlc<xIywyFN({}JgsSjZ*$D)6gdw_|IjqRLI`;d{f*Olx4N7Q@AbJ@S|<1bsblD#z~
zv$AC+DOn9EB_mrI$w*d0W#45)W<x?&Mj@LDNs^g8%giSHj#uyR=kfE${dnB>U0kl$
zb)C=iJdWc$jwjt#mY3|}4PU-|Ve59Vv8=DmF5c?mlb6x7C4-+|I^3O7{3t0|BPrSQ
z&bLe<TrxDk)?B$?Wqm+?wru?AyoqQ3LfPyBc5vK&|Cr|0X{7({!(|y){@ha==|6Et
zG}GHK1R*0HOYpw34#=<ok`8DyBqZd4J!;=F8AT<vz&$4Q8EH1QSZwP;d<GVJEH4dl
zleDz72tJ3mfSch}_S3>FA}kL<YN!QJ$}1}NFLB*;b-jk{LvWLj?m-j8-GCoe`u=@B
zrxkRek_U<fYShn;h2HA&tuxP478^;FivKis!`a2<5;nL{(C^H@-gA5J<tbD9K$poS
zdNXJnAQ!yb%82E^#G_t6swlnK1Ox}xtN8Wkem@jDk?YEa?U@8rI~lz-;pkIPo$O{~
zOHby0P&WkOJ5ezVcWn2+{LK|F5JBVEQ$#;t9Z~h$V!(!$5M5}rLi<6nRq`LJ!?#O7
z!JPDk>YjUVudGLlPIb`z?=~DRl%WtzkSW-f>Az^XD(*MEyKQ{2?JAazqEA6al_h%P
zi%7x*4^3|;#qKHFJzDkmJjhgU-I8uuz?SqC050gxiTpCA_cxc{{a4pH^QK2U)Ka>o
ztEKrWA66qk8FKQzgUvlw@iye8rK4Xom@&=_4w@-E+T+zGz#3vZa*X(S{E;1y6Nj8!
zL805`6ZimBnbE<)*5{XYHwI$Oi;0V?G04+B*39hn(2#jdc2wP4I=v@G7u)yb{3kCL
zz7aB*S-Nxckdz!FHMJ2qKmZ+(5oZ2|JqgdfE2VD4EJ~E(o^S2G8`H9cgD=^iq?bwV
zw78v?mp2cEqmJ(G-MitFHG<ch)Mg{tLjCIEjzHZ^Wh}eFVBlth?_~3{tMC`bgs#+*
zbBA(P+4JZ+MP&{1Z!1&XBiPs?dUddcaHyQK(LGLWTe?{Bx=Uq#tgKE5&l>fmN2IOr
z6-aK=%Q#0wh+UnXGvE?1pRsSF29*YTS%^Q8U#TDSlGbT!>OJ?Y#K!`4T<7#@a{d8)
znitDu(8@?l7hbLK0eT~2?VIqV>B(u%4|0;C2Bug*&=+3pDe61`!~N)J3cq#{NTPmq
z<Rr_lF*;jN#f616^BkoiKK0b^cFD-dJktzAKBvy9Q+7$TsrmWv^()HDYn9wBqs@ih
zM>kQS9T|Pt(<t>&VPIe=$@A3CY)79UCoex4Ycz?uF6Om$o?xK^Q_q=%eO2r@rw0e&
z;N!{0H^LAXp4QdXrIV<z^u#(T1EGJJ?Lgbj^GeoEEJhfDPe3%d{ezR6q3)|wOx&kb
zvB_oTKL{~04lcY!{yg)Ov~#!0eUx%YZ&s+OyNwbV;H-;n-|jWm>XwW(NL+b;4lO_z
z-{D{`+wC73Q%3_HKYom39+NniFXgvG-6WdC`~Uk{*T(=-Q~b{NpET+DQ&)ceOyh?w
z<c+|Cv5iQ_2`j>lcc95`wShY%p51((&2^lEx=#*S*4}5%ypU5=P++ewP*}MdC~iVQ
zz}^X{!X|STlf!*ePCE&gVOA_9)mq1p+@vwq@o{x0$5peXn@(@*u=E3J#pcU1j-`$c
zUCx<ia}~tp<g5IuxXG$E1!=j~9#}|-ii`i4B^>@KPkSu?0x$7{5g3_e;pSGt^eQ2d
zGnS5vL(;{6qH26QaNu3W2ymrrS5dQe#StYypK@|>o1)RDx(K{}NQ;m1Gw9EHLE^Mv
z+Jt*W=N?yhk-Gu2@jJjEMn*?+Rw)8bz&Bvfv#(({tC#}?%`!OwsmPr*vlZJWXx+t_
z6vuvs`jAlnsa<gtc*_H&6LI1mT5j@<>FvEth;Wll5;!JWo%@F1G(U8FVPns27J|^d
zx3)p@cZHdm@LZYiTR6)<q{*sLG>XVD1dL!9d!`t<Sek-J47i#WICSMhIEr*f<A<%t
zgilKP^2;>4CwT0vLl{Hy43!^lJ_gZA5791?>jkc&58id&qAAJyTi3nQTiwil2Z7;7
zoHENsOl1`%>JA><L%&OH#=>_MOk7o+pcQlCzHs$wi{Vzj5Try?$H`h2@Q@>I11~-W
zR##y#ot>3+x<db}#6chaK1Jf)zV~+l{+1_rJ+FODQEP7arjV$Mpbq2)hVSocQEGwI
z-vrg|#?K&dFZ#mYFO0m-$e3STyjHv?`V{>!*L^0jc~P$iz2o;WQF|mgo|hV^plVsb
zuYgVr1eR!N$qt>Q$2x9y#$Qwf&i6XJoE-$0Pl!<>X|y^lVyrFtl$-!$X-wtr4hNE_
zXWNt(W#xNFC|}$?nW;|*W%~9qPgciay8cR&s|N8}3!WsCGRyAs%F1Hf(8A;bdyn|y
z@B8=Sna6HTsaPGnnNDtN_E}x?4)d)bxKk12{tI<?Pisx_al1k`cB8&7)5*=v2U;X}
zj!jKWuqWKL-PXLZwj{&Jv;4IFv0loLffoj=mOI{4rfJ;GNLIh(UXUrt*Tlt0Xl`5V
zS9CZY?jxLbRlU*YYlW*M-Cj~q_~2Rh?5RcWN#GvGgzd=VOeCFM(B_=r|MxVHEi5l5
zNt&rcbCJ*xhD~8OLi^Me`CR+x+#7xHg81bUrwew{&fM0HjuBkH(>#(|V4b|O(hwGC
zxE=$%sX{kX-dlUu$+g8!mtqiEMQ3kd^N&}~X@DrI`kh@&T)%Uj{08SV45eW&cNKBD
z;D)-ny?Ldk9zIW5v7ex-rFDPsIILSVNEc^q{t5*slBuFpt}&XE_SD37xaj0Pbs^Yb
zioNo#w<ZXsB2p$SY`-u;6L<XWXCCrOBbF1%!YYV7c~SQqH4P38Od)eW@8GWJ?I+|G
zRFC+tTF76XCNVXpOY5uu&vAZKO|&=Y)$vYuUaSq^M22X_&Dr@P@Roppn)!2dm+z`+
zGnMaT&avoY{TLnhol$%LGe@c^<GUsT!mq0<R{CAYc5RTVLPrd_QJdqdTb+KjP8RP4
zHkWfi_`{SHuY3n8w9(#NY)R({74tN~%=Q0oX(aqrzv6f>c%~`M7YEcFtNqt<n@vox
zhu=_F_cL1Ooao|<7AH8Qw!wXU`KHCA5;pt)(*jsLQ;vVpZg=JK<x9V6op!~U8T7>D
z*1JDFG&o~tW3xI}!{|QKdjPiNSEOF;dQYjIX^<%AY>se7RGKmJUvlAGhptik;h|G&
zUv$uv`T(Q<EPAYSdM2@j@Y@M^m|K#B2VBbja4@P`{K|U*Zqgx(p6{pj+<!;suPS+`
zByXqLh#T?l+qThl<mN_C{yVO+4ciG8jp|*ZvEKS{oX`;5B=3nd5><8?p>A1dVLY*I
z6<uAHI6v>2s~xMIca)WHy3Tz+f0U4t(jDx_uZLNp3&%;yBV~S1YtQEcC(ejpJLS4q
zbD>~vw6P;S-jKD!YeRs+F2J3dH=N1oRZb3?nep+K<n12EipfVcy=Q|Kj5powjSPB0
zrl7MQ_uPzXYHGp~5cGSjN(V(nuNhZeQdj(6Q`yY|T@&_20Gl0&*n!-rv4iz;;ZQyh
z;{mQ8Ui!&;kOsk_U0VNHvYAo=g1U0W(eUM=DDH@HPj45Mo7I<ATxT!XD{e!J()R6J
z+0#5P67f5CkJ8RJ9D2IOeylVFu~5SiDl&%;4q&AKrjFv{!&mJiAA4=4Tnb74GBhv!
z%CQ#f#q_&OvDqf4pdfNyZ07SR3DTAt=&x<oq;9eoVQc;2{rizW%$9xQgC?#md06h^
zY>zu+`4E0RPZD<>`(JH;Od3UO7s%Z8$xdgs=aZV2<S}NzNu+uIC(f{aLPBJfwLbM;
zTpT-$wc&V0oOq$)MR?6qcrc;YEi<p9!RBC13`j+Z^2IYoM(lpO&qgjfa&HhGt^Yjp
z_uVszZZ9>%h^cQ0RNAjohXq(FztDhQ!DQ_L+bjA;!+xRlL=(x?8}#FEP*|~waqTLn
zamlk*8=%>66M}-9CJ^-=%7K0224~NbsUkQwH<(!5pHEMG&uBvrh~GJZTb7&ekb{$O
zlomv{zkeHxD_K$&k)0Ng{Vl|YbRDw*>p*ogBg!mvKpLzXtPkyJFVY(q=7}CXx(Ul}
z2ANe)DasSQN;Bg@j{UVMx^O+*guist<mc}0+j#onrtr!0zR81`1<4_Aji#!n&94kn
z^pce!a!`L1;X2#LQ(501=DxZ#OZci}Teim7`Fs>+7vS3?uGGI8?Yy<~$=;8`)jurQ
zx0HA0Gcz&G!MCfYDe2^{|98e#R7~ppJ7ZrOP7^FhBww8QG}c+dOeiQS`VpK3g4V_5
z4{%2!3OA%Cv46PyL7<a6IRPu3kTDV48Q4gG9n^`3o94+qJHs?<?37ogosLGE-^`M&
z$!}MwC#j4}`nXD?I41CM7xo<Rx|F+bRCZ?4*RXL<6(zvbzJu+!yUY76CH!B^Jp>qb
zXb2iWWsiszZ8r1%vh3@PdvkXX8_bWJrna{7t`lEzqI1woOSeReJ^BPZygo+uCr42i
zq7?BB@`Of5M*+62JM;vF>4<u_*%gA6Upbm-_UO?2;#=75BuGT4r<`azt4^ZqK}l$8
zk(q=(!KyhP=$L}M{Q2+v<<u^Fp(7xAHDT9(tiKPh1377x`~KX~AMb0FB3c+sw<!pS
zvzFSQ`CJ}b;D%X7gTup*t^^eqnNN7(X7~MkuyaRuv15gK-NUh}3+DTVZ8vuaJP%7D
zu;UkTp_)mdjDz~)&!7La_LLZ`#t)ak6$ef?aJxM$CZ?lu*0Lf|J2Nae>-(j1KS&9g
z-9I(Fy*I%Up?|(L-7QUkw0N&+Q;tT5s!;j7(w~DQmBY6k80Nb=otOwod?cxan$olr
zlJ#%Yp+|>*14IqYo+FADauw~9z~$W5Ljwu0CBf1#8orB%GtT{*nnKU#nIs`DPB{Q~
zh>?-U5E{kBfe5?dYFcwQWXh82UypBVk2?d;J19z8C_QdNDlK_f<{1b}J{4ss;4$JV
zmJl5zwD!Et$#I7gzo^JiBwDG3jg|F%NeR@gu-<{}(2y>4d<})JH$JgPKa=%g-h)b>
z-dx*t<>o0OI#fA#qrN3*t+Ivw`1xBH*YF~Yx!PD*9Jc)YnCLl&%^0NY;oPi!g^da5
z#gNe{`ZJJ>O)8JC?5X~xuyX6jr&J_VY+mT!0kJIqYHxg+*&hRa8LX{!A>_x~h2`&e
zm-{+9ap?Uo`qUM^ZfJ6U(N;4rv@%GlYb994o$ji=af8^?vA+*sxxdb13M3=FE$^Nf
zRtYiq*}^xikYZcQI&{Wgl`;2xOwNtF?``YZ2&+d)mcpp1sZFEAj-kT9HFSM#JUQn|
z>6mGNo4B8D&CV5H-_NV%JbK69u_Wov-8$~GSGg;Ae@B{HAV<yD70r5PYemsyQUYvn
z#*}7%np;|0uAVR~1cAqhQKRtG3-k7m^5GT|`+9%=1Sf@Rgi#6Ru<`B~X)Etq6W?&u
zE8Bv5>So(po9ODgpBt99euQJG0tSIcHcy_&g<EKU9&vf6oLUXq{Nf7}=m1Dn)_=!S
zix%2F`{vz$us)X~>;=2!nU7(6uKFcPI|)@iTkFhKf|bo;WNB`$eyV;+cTGDl+nb?8
z9uFU~z72*?o^!6%KV;`V+Yqp-W7poUvx_DWj1M|VcOdZym9{xj6qC#HEI<DbcFZSH
zOJUzTGc?M(^DP;%Ih`ak<!&g9x>|{=*WyY?FuFpbD!=5->HDhurkN)$jvZa5y&xWI
zZD|STRGn<Y7Vhx6h?=e2^A6m))qi18%W2YgKl`TR<ZGk5mZc;E@FBeJ5)HBjzakuA
zd8>?;kK7LQ8`jUPe5o?G<|vo+P{;RjvL@$pkrNl;+;{%D(S!zThK7gMH*DqK(mIGC
zlM~vArSl(VrDgVaKxabg?{|Ih*Voh<-0f4^+PL#wCbFseABUpgE(1drCliw->=m1h
zQucoIz0Z|*g!uR{eY3*Igtuht&uAkYE?ye{a($0}3dkNNu9CtF&Q4C)B^RX?JXnh%
zvg>u>7_9B}N42vJt*wcA#)Ahl{rvnY{ws+X)n+fG;}j#1-yX>D_poJg5F<%Z3%q;E
ziM!#))6H8t%jI}uNG4i&uQpd#c|2`V4<i+KyHC>)my}!NXGBeKc;%=YY=sk<*a>(h
zCI6u|;S1o`n^PJp$Xnn4v{BR-y*!%eO2L%c)Bigtti-SE$LDe1B$LKZ3jHT>6cTa>
zfV0=tw>AcFF=!fGo$E5@jQABk+poST^7qNTy8fZ|2Bv}VUkcoz4ezh&?>z?JUUUx$
zmxpkK!*O=AdT!G=w?vB8`E6ZK#Ia{J7lP-ic=wE%u1mVksb!O%5Fcy|i2PB7&_Q7q
zFxCW%+e6W<6T81HZXG9;>r!i_1~FDlQAxMJM?-%1*DvB+2=<aSq^7zWHV>VdG%^Q&
z*c`#~BoH-VS>QBd(Hz1v4cW@{!3ygP2mZC=Oy8EBxjSIz0*wI*L%gN5&5jnV1kFPq
z2BCHKd-9N5?LU4%oc^w)<exv(r%z^|iVup2EV`#f_#k_1-)I$`<7ywpCqOlb@<Etb
z?V*#B5FZg$rtuwQGGXIuL|elbs^pB0)*pXGU42lfVlm4x^)y(OaY{LGT@#RFZ+6tp
zN2a?II1X@`SqFY1lkzleTV4v2O?c8aczs?e$1oGZpz4LcrF!Pe?A|I9JP-L;&3<V9
zP0}YGQdfO93(p@_84;!s6nL)FR<S#6`YQ1QdvYmyJJL)|2w{DY&sx<1UqnHXiSgKQ
z7Md0!o%>E8tje$&gbXYw362d+Prv$)sBDK-)cT=;EZM?KkVqd0ui1b2hGxZLpZCtA
zJ!F-R^Byi@@5}v9^i_R68u=p?$0QM@1O5x@kfe#%V$V87$_M7?Lc~q_8vjxCS2c}0
z8FW;_tD}-q4DdDq5WrGT7qFIE<!`CSsBmPAJz%n>BA$%uAITcNe7S)rHk6Bs>4Z!m
zsI|4VhJh)a12M-tAiC+S!av{wOai3K!Ne^#+v@P=xo_^WJAuaLA~OO*D?FCncT`rS
zN#=7+Wg|Ug8D7X&$~^MUmt*^W1&<)BVA;x^GqU`HXRrB$@v)^o;&W+~8r_BZ@tTid
z3Wpi@`2%z?>2T(bjU;=LHx)t%PbXDXRrPBvaGzUp;f{p_0x;2DLe9}2i&<KJg>7aQ
z4-ou?v*vBlLNEsr{=ClFzA1=b=u*fup)`Pi)85s^#ry>Joo*>yiCA{BF;i)eq$W6F
zu5@)B@ia0v1_FDlugnu$D>7MIbtdFs9e|6uE*{T~o$u@9ZfR^hC@0qm%hsMAMG+A@
zBsJhrF)u%^p^-9r#>}flHCqiu{!-!WG{Z!{eXf4YR)pwcU6E79Ih>XvAlWfgV0Sp;
zA$F&Lye!{@$N}9cpbSLLez>`8cWlp2>5Tnq#A2o1T>`oVTnpqWaW~*g%)`cJEvVUk
z&xeYgfNxbafr0tgg@io5c#Wdd_l6eJXJ*vl=_zyNol9NE?uriqDzU?jv3Z+1wK)xo
zsc;4YMR44}AnM5#*o1EXX_OEo`QW`PC(J*9o<J=}H*ueAHq}d#=8f4HrSN%nDRT{2
zb<GT&Wyit%>)VTvGl9}xVNZ1q)+V*#sRCmmyFRbDar>e|^A2y*#kM!g>|dFch(g;j
z1_fUmgMTOo4wCh&)A(JerKZ1};UD@zU{A2>dCPs@EFCS3tYhC_!1#_o-!Fmcm<FEN
z`iWQj-q4RfGoo&vTU(tWWK58C+?pzA>ASPg{PClfcK}FL+Q8~r-2v5trDquwt8*s^
zFslEs`D{yC=Z6dD79!bg3NID)<BZlrI{U;||HS;aZ?B1A+Uo2NhXuH{-!33VEe18D
zra^<p{v8W{QlK4RKXgqCXS9yQm^j9{TfbPicJ;-e#%k?B43k~qB~jLb=hOrc(Vgcz
zQ+Nms&g;%44<1yOYx#TNGI5G@8xIE`pWwN@P*N^!s1lq`rS{?s(csr=*$w`o*@hdn
z1f_4H#?K2We&|vWk{U4PZ4HG;^hIwtegeu~XFgxVURJuxCBWMhWp@&gjp@ioB4zD9
z|Ik4`G5Bl<ec4k2zr6gKxXB`4go*Gj_3k6yKlo{|7f3B&^?n$w5drFU(S*;@L#!(Q
z8ITk3T$SAVaGk}t^irq!0~?mhrCm+JF#SOLcBx^wJtxnJYo`lN1x@B3TcJDn)ZWzk
zk&xY9nYsQ;U^Z;uWPI0(A+~o~ZD7vYMW_c9<b51>Wc|=2WZdH7;@}IhaA9=<R$m{e
z{&y$&|12#f9<luo^y~u}Fz1jvSy-sFE!MacojG;&bmsf_mnxjX=;eSGDVMavhVM)E
z){>6t)WdYWWJ*bIcG9qEU$2#u_XE+m9Ll1%A~r=Nq4s8%`@8tmk_b$@ci+m%d;zcc
z4~Wz;&-3^#<(eFP;P-rW?8LUrOJB+d+{iQbK*^t(*?qCT(fnix{lnJ;q7Ux*0HLuI
zw$Jw>iw>%&Y=c9*^v-1z@oAVF=Fy+vT7S+a5UWM^`_lhNTd@ZRbTP1F&g*W}GQEgH
z1ce{kr-Zf&bQRB@S@`VzV#(=P>B5z-6fDM};`0}upuGQF=`QwSnk)U4b1U;*BzTEr
z96Irn>~1sMv2MKLxN*SU-F=x%+Y&P_I!0+u9lVVY^UMk%FB&tK(FHUmX!0AJVN}OV
z6Nug#tOXoUmgb71rT(>&0xNe_`6oJZ`oU=c^Sopygz1Z0K23te{;nCT1_b3YH-f89
zIm=L537y<jaH)4ysIB<G6?*H-H!kIGpFFrOc)2bI!y**R8tHmPw4cjInWYqA-*m~V
z*gXa81JsY9_wVb!F4>iV_IWMZ$;BlefCu(z<L~tNUP;$YB>cU@%9$8duy^OvcclKR
z5Rdv`hsP`L$t>T4e;}LPbax@n7{o$rL4ODy0x{`em(d{Og}+nb7)ES~+h*h_%)PzK
zF{T)aTAdvQC(l!PH(TpV>5IHGfgM``X(G^tEKYT`J>8NI=Q?`(h@YpizCqjKR4kSA
z7!Ag2DtgXq?~`G1mxIg33=9JrkQsPijs?*nYLGaD-{6`nE!dk@ym?NiS*%4Uwh?+w
z5|CDtw0`Fe4YBN&uVV^VNHMW6X#}cIbmj^9t*&}_t6(~FcS<IfEga;)9Eo0_w6^Rp
zZgLv=$o$~>=%zB^Mpn4FA{5@Vm@gVGYK2-3{*b+K$Zb?^#*z9_ZddU6#z%~9pPRBG
z9MnwIXfuR7cmvP-efrMa3_DsyhB!>gVprZTf>km>*e!TfLsVOMMZ!t!G@pA@W25%T
zlQ7Mat$1s!4NWpGyr41Hjxqjk`GNCs8&_W)VV5-ZgE#|nzB_mRUM=fAHY9%Hzz%_t
zH%6esAdV*I=8dSn_hHUS!&Z7ZsVbGc4mSkP+1QsvuZmeB_G9~O>lBR!0qhNWRl>g0
zaZYH2afF^;W!ipN{Z%|SuQuBJ4p)fz4lMNbdkoVrJUay_R$EI8?wq`ZbT=E!J!CsC
z3S_bvhYzigBR&OZO2XN#&&Wo{3QuXr4!tJpxW?mqcEZvLf)mydC>0U?K>&^ntOAcV
z$iuPGQ4*NR($dpgJ|b@L0w(~8^!u#P85|(E|08^`=}hz9SjG;+cedY$P>lfdP|>kh
z8tQXcmXOh@LRbR8nSf-Fnzz9OP{B{sUY3FZ5<(t*Ayc_}=+pLzH|gg)_UlS!qn8An
z<fSY0J~pag|2KW{K$y|R#>NiL19O6^32SVyZa_Cg9F=DKuB5lYPzqmoX6BV7SVM3v
zun@9Wm?lT$!K45FBdW~|4eJ-mf)QzmwsUdPLXIjUCubXTCe-zdsnUvyrOZN_r{j-2
znErdXeDjNNs{SgRC9}XUEtu)(%3DRK74yIPF83sSX(RGH4OGn5$=)&2UvNtp7~F2%
zy57E*SKapnQykiuQ8*n#iK-sHJ^R~Z@kiMyFI|hRZ6tX?vAz^IO2lW(g@K2{3=)&E
zfI$6Nir6Z!thbk@i7{%#EJ15)GHN=ytXHo(vC@u~vFqAVSOgCM2s1Wbc=zVb3`kTw
zdA2USpFi6{d4OZy@x0^pNLBu?lddTFy1Kf+h(s6L(W~S8-Q<?V5sTICL|v*B)Jr@)
z*OI}c$lqQRZdq`!15+mFZN>G!v!Nvt{*955U%zFp;#U1Cc9RCJi5)CB{~g7ja~px0
z#Gya##S2SpJ#pO~s`ruDd?S%(^mnDU25><+%)pr(xi<-{%|$&^a^c0rHLxDTX6D!;
zve5BZ!@A*uPThjg4f*qeRkiKHQAFPX2&pZpq&b`MXdzUl=>z#uv`+r2k;%!7s(bvh
zrR^N2NW5S_V%-#%+9J?(@0`dc+6|+}t@=(*b8z<qvP8HH!Wm25<|lcM^;9+Pc+vjx
z02KlBDeRvByVpGpmKMQA8nPLhi?h~NS4A(Ee3dj5VGRLT+UXWUS)@~qRnz`iFaCRx
z#$_P<u`YvmXFd02y5L`fiviCsC&J@z`!%t^-%rJ|5TF!Xq_>*HO+0r1nNw2uz3*;;
zLd6$y#o&DaIc0ZOm#2q^>vZ?hgZ)WF(*T~wuk+Ey9I??ym;5gXN-*jbJ`-TNu)NU4
z#)`d{MSNCPSwLWnJ9Eo|dTMT3n!0#wLqh`$CGpGv*oEsGemG<j_*YDG;ln^Cuw9p(
zEk?lGlr)ZikWiD~g~j^MoDJeMN-eN*zo6hIJcrJSSW3T%7d~)+r1I`T9e~rYpF>P4
zB(tgd)PCb@M7w9v5erAhexN->lRwC&mO?T^chUs9J6|Af9fDb<IW^j4$<DDOYHloJ
zS4Lbh1*aJ76+Hno-@IM$_O0u!TSPan(=;vz2WF`4wa<MYXpn1KlMu1PDYS*S%iOtW
z-E`v$pH1i$G}N~y{o@X^>M^L6NVqf_TsAR2dv<s{=+@!6wGa;rZmV#=0v_?p$E^&*
zPrV@SAunViintu=U5p(`x^c1$wEG92R85S8WWEp<j)s7`$aj0oJdc>02>b4E>Pq*8
zyoswGE&%)d2Y*IJhV`0X)YPoUaD%xNLk1+AxP2iZv>T;|gJCs+{{h{IdMZAN-28mI
z{tuf#u&tZp+xN^r(?w7~=HZ19Z=3&tUc&<e@IQLAMXzV!IDP1$<X>-c3JMr4ZA}*w
z=_@4yKu8>6GB#iNcfsWh>g$ZxuQ?B0yRWr}=-*pjlDEN?xXy(n?U}BEak##$FQwyj
z#Qu&aHY-s<j|;Y<g+TUBQ&Agc>QHuPZ-av^3(%bGYD|=aH|xeS;os*w!khW(6~a_3
zqRkVq1rDpk3kxI*Xv1;A!Sq~XV`G%?k|M$w>m<aKoy+3ZDh1P5MH&4cc$NGvtb!|E
zteCMObh5u6rc((tQMv35zg*4tV8An!Tb{UN<DkqYDWwRj`=5wAS>SO%<xPe~i?Jr<
z0Pfho-Qb29iu;nCYAd5^ciyu3^UBTfUY>TG9K5`5pD$@x%*N_)M8fR*4R{N~nWamb
zsg$*{j$g|23YnFUe+eBR`f}`rLD)e%Utjeiw?f+aSQu$UwrZ6$Cac_~>!F2(uwYq)
z^={b93<Mw{{Rl5%U*Ctdt{&noZT)({%m$<J^Xph5BjzU-*AF#>$vWlNSyMspUjde~
zV&w-ul}M^%Zf-@eTSSIY`tukQ%yg&sEkH0gH)oSHKm5kV)(6H|@ctBj^a+!*MjBP&
zDQB!5;k3qTzL>_HeujxDMuO#k^{85ymYpF~fMf!=S!=6-U=)(b*Vk`jSASFF3o=s(
zS@nKCr}X}fid$yb*nkTPoQW1*n?gu(CgVFg*iX6dFn7LuS&!qktBb==UpOl}8}_pV
zppF!N9EdP&o1}|)TZ_X_^3&SY%P+?!COR?7z@(%)KmPCqrvbsO)9P*<&@&|6{*?i#
zoD+A)-<|u!IayeaU@0<HAEz#`LG&R2mJYWlEg%~BqLERqjKjtSIDPw?9IMDRR#u+%
zePuAv7@HIEiGJ;Us;2)vZWNK3pN<)2@V|h=kc~jKg!aI#-)VPfnKfN&z6=Wsi{!k1
zjUdV7rX%0pMN?d!b{2*eZ*>>LKTKUzL-@@%ME>CG#PQ=CU)-VXu0UahM;f1;lPShH
zIDlhYLr%_UJ9OVfO)$`3bfnO&2l>_oD3sr^fyM<~*5l~tuFlTIU+tjzrk0ZhM*Q(+
z2r*GV4pS(kG`HB+X#YWWjxUMWD{&Yfuywtax+81mG1952$pNBHq@8QKR9c0659kVT
zP!_O=6Kc(!fnO0x_{qtx?#%w(xbtZ0ap_;ayuqic;}RODZ(uNwQyKduCpU9lel?G#
zr5~QF_a&xGpzPu%UoO9W3!@(n+Ns$IK$YleN&Qpcjwn_=>WP2x`TojaY+Q?o5l{;-
zvW5?@12#j&!}pioVTefv4i49#kPI^0DI+XR7l$?r>kK3|`B5SChn6NuASbK%Ab_n{
zM{Jc4@i^DX{}8MUmo_km4<DMVl`0PW`lSHpY<$zA@B9#~U~8|FR_I1EzscTXCKTM)
zrJje(GwM!+Z1ZX&n(EOoWD!a&jI)#~vO>u&c{L@<t25-lWhuCWioUMRy&>?k3Ys0w
zx^XXWs9?T(ADSOa*fyXWvs`#d?6i7{8U3{U+{E>dVC9IIZU-?1(UG~rw_vV2d-1SD
zwqYsQA^e3aB~Gb$pc@<QJ9Euo*!QxPJAzRF${zzX@(7>7TZ|ikPKAt;Zlb?p8&0mU
zWU;S#{swOz8XiwngW2Kioi6SG4RMZvk*s?@&^n{Z$*oK2ha$h#Ec>s*3U`WjKeY@9
z>U5KOapp-(jFr!#HVonmFR?1wpI?MvifGF?{w0xYVDSF3$t!!++ffSmvGVesSj+>?
znf-pd;#GdW3j`8D(VyhQiD}|8*Do#X{DBL_PX)!a?@?EGx7)<mLG*Q)rH5|=t}$Dc
zrklE-%xdxd5blHH$4CJf6@zzx@fq3%tZ=95Ljnq{^4HDp0IV8E|G@wLH97H;nf|m`
zIXbGqum=ArW`}AHxMWmN#J0YA@nWx{gHh(K|I-3gKb*}MyBdnl7dPun#x)@)WQo6j
zudpdsbaFzQpD9-;=yy9^zhu7{cLU6^@FgSf6R|TDo=qeZomm9KFj7MAlz`1(yn}nJ
zvg30TNCy3wa#(ZNyBP@B9eBYWBbFuew(zcBKzMMVT7Zebsu{E9hX|Oig0!ThqMGfm
z@I}LHE-<E3*<|MQmcs9zgXlKz4*By)N^gY|UQ@;d5P#SrMn*=asGQN)&xPa_n_E~S
za+v(~;_cy3Qq$|zV2S{eLjj6$8it23DmH-(7Jle8GOVnu*zc%Jy~++6`b}+y>(irN
zZqNetLvA}9Q5-229!d2TYCv@HhMRt`oaB1rwO8WllBdZ0I1XF&Mi>*@F<yeNC6y7R
zjR_~?_r*3ca?3f5H9Y}=N|IYxINhGvfyWIdHP&OJ*xhrU>6JfWob@Eg+51h4ZsQB1
z_q0^QyWvlBwZN*mzlc#(R(1t#Bz8@Hu(E&W;0+hfte>RYf`=|XS;TP>35yTTaM1va
zYn19T1`B1;^u|92Y?Q0$7Au<u!7IWe9pED@ARvBj`trrf`7=(J%1YJE#ZtWd7;T_U
zLV?JtC;L|%)~G_@9RRlmM17-R@nP#10-H))#OH_V@(K#THsR}0^8P)x$Q0$|oQN@K
z@C&KwM)cl3;}Sp;z`Krc(gW=Bh<jjkfAX~{P2do!0<Hk|>3H7&1O-siA5ytUO7uRT
zLZg9F3r`{-Pk67f3Lv#GtU0gL!uq#emUiTwJVEt1{r5}v!z|AWzb3sgm3bKckrb+i
z{X@s?cM~9VY<+cR_vK@LrBN~$8dHV`hrb>9%R1q2dn|8~5njQ#WCWo_kTPs1h8a+1
zZhHj{jMsULovpRhS^<XxLsC{p3SxLRQ96t9M6t(g%R^)3ZsyTHB6+{bi@4k2Rs!8G
zHvUUrDy}s=BXoMlBqWqN4ORoZKcDQ{4iP87nZj;@d+02giYyw;%H!9fUlT+<Nedb-
zZ##Gk8E%7j<V@E|VCCiQL(96c#B#6q3ZNQ-%V#ND=^xFi5d*&)^sG%=Wgcq}j*KiW
zw(0e^81KQ;)GY#&uXa26aQo|0Vyp!0uM{`?{s)IzL_EX<)OC{z3XIUyfdYrkiplNC
z7XrtEdY3PuRsh;hH@f$emWji4p(OUOOhwRz5B2^bOQ@Va*w{2)qIQSZtPf@(mv?v0
zx!*Z7ync^E^&N}joq)5G($LgzU~jk9T&lqtc%2Ch8ZTut{Hd)-8~FXuzOd7mIfFvU
z?~!es($|lBgWRfu0zNi3TT*;Nvkx65BEaDx3EVp8^1HNT+PC%{x*6wSzk9jNBWkC>
zPU2{%M2Cg}aaJ%Xz}rOU?!1Y8X^b6W(8?k14>8G$nZ25!?DKHDWw+A!KIy6>Xr!Jh
zDJ(pJcCxu)S#!mLBat*W20%PsZ>i80RQW+LR8KM1+-DZLvEi!JLOj?}yMw&GV10~>
znR&k3KIh&0_kBfF&*Z`vR#wL4W`@pxcthf5D61#mmG(^H(8Ku?g7qAY3CkAT1XrA8
zpXT8gMvyx2b%KBA5nm?mcjN>N%Xs&U!v_MaLtQ_NQWJ)E?4)w5eW{{<?i~IK)KJnN
zTEto<G)1f5bFi1N;{p*4_jQ)^$S=J4xS7jNwK=nWq4l?Hf=ACX?G9(FsKtSujGW})
zvituzt^FBY+2G|hf#8S___DcqTHt-Y&K*AkOs&KI6Uo+XQ0yM4^twM2_{M*NFMK@6
zpX`g(Q1$uKzo_;b6PQ9IvuIDf(E8kpK1C-<Y0XE4Nx<D-L-2{r^?1LwwNjx{x>DVt
zhQo4B%)eI#eNPxX^V7P2+wvH~zc5a1ez=Ga=XtY1#yNB#z*W!zWv}yNEDsW8q0y<W
z#Bu_D1M%2K$f1W18Xcv-SwA$trT^OLfL<&t&zP8;diq;IXMFzn(ZfwLiRarQOGB!j
za1pnf?Zq{Vh@(Hcy&c?5QN`iNT7E3=Chrt|QBu!Ei#vSW<@d_Y1Y#);V<1Qx+z~EL
zPAi6nB3a2?A;G_`>10VfbX>GgPoFqVQ@<1x;@zfwuET76M@eaE1w55-+#z)aoE8SL
zDKWouBBOF|(ESXT;Jn5-8vFP$Y<H8!XD^8TkJkMod(+t&n@Dia(-(<e55T$UI~sif
zO(DhCz@mUsvgfznH)T!X^nhFzM<?eplDZdbusw(c5%WcLv1u}UpQpnmXycIJf}vF{
zaqfpk6Ssfrm6RWX1xAnJ;%sbfJ$nW|!|e#IR(hLluzMY?kmMUi(xZ{a{?$XDfgLTv
zZxFPsE29|n7P@+R5(i3Oo|C4RdvFh0P1=hdS>sD=lea7On=YA9->ZiCd^4m|bB{wp
z8X-$QB{E{pye{pP#nX`Yd(YFv#H;YD!}UDBtXxT!`1gkG!p|Ld-t(CYe7M8$#ZAXc
zIJ-W=+3Ds@taQQ;VPQXiQ|H@HpICkOrJhTJvq1VJVGs**(3W(lM10_hPokOEJWl`L
z&0ARL2C=tKVXeWQ_46LzSfU6$PBImFdajI@SIJA+OotD4Zi|O!YwTC~{$n^gC$)5b
zOs&$aN<*oYFU-zibvni;Mu{Pcfak(4srYdum4Smp)}?ITPUheX17Xfig(n83FPA<1
zX6GSq@o86_3^@U?%bjG$$HXT3k&$`1;(adk9C>_;rBR{XAG}M|Q}Os8rEM+PTnhE|
z=Uu(Fug{A{sl~A?f3#>f1xRE9onz|f=yaka@mVViEYy|{%v9o*5z00tgm#<}g*JBH
zDxu$ZyBzRU)E6V^rI>o|;EsCJU#735JDpI|4m~76khO}i@W;=eUxR@VjLM~cVI+!J
zz^p#MurM5NXs-eHaW`06S>+G^Z|pVWXQ4TPn)OjABG>4go!u{-%HWop2DR4d@-mqU
zXkt}r>?8cgZ(*=h^xZ1kf?lhLw5s{SX0gt%l!`Q<BHDZzSy{dLmb5Jk2a~Ik0zJ}H
zDBWsnKXl5lahU}9)nM@hbDz$lFElSW(2a~u8xlID7+WGLNBp6X82VwVdIB3taE|D0
zGQJ)@TmpO;U8`fb>7@8~>0YH#Q?e+g=)(J31mp0O(=>&YPxgBFvYGTz^F+X~#QsP;
z=Ao7+hsTj-LQJ(*!PyCB6ImK(`I)jdC=Pz8ctV@^fml0!CK4oJvk2iMi1P`LrcH^Y
z4LT}uL1nHDiGg=5xlUXjyp8GnokjwAk4Xv8NkK?Sb;Byj=F3lJ0-gI$X`~Ec(7!G=
zZ=^R&pESWp0QM!>`l-h641XUnF*)PaEB4ME+lln4YW#<qsJ!~?KU!)v)#Z#!W%M_n
z1sXQX0lk8rRiDztn4jd;=euRBtgZ2pIP~lhVB|D35US;JGxXTF>R~SkDCe19=Fz)K
zRnDEx+=Q(pS#x}1AIXAWXqxSqZ$>tg7aGJK862;WuNB3tdaR2H8I85KcKVXUF1$bs
zg-KxFx*78!uS{01&K`m)n28Xv8>=CE3kxq@zj*P9k<GRCJ%>|vIav%a^YJkbEJ<n7
zc$0V><?K(a9K1I7SB(CM!kwGs1RQx3q(mzi%<zDqDH*uqqNBm3kdu<oD&+qeBf!^L
z!F3|?$rDdFNJj~sI3uV*JTD`IgJWYm9_cB2PIcyOZ_fH&%68i#FO!}hyLiI5Y=x!l
z>HL<s51uQuP}bW0r>V4!;;Fo)Bw23`$?0acf4-I<qkL;_K&|l7<_MuoGJi6o;aTJ*
zzwN)Dh;23WYhp{e?z1KYKIIUzD~|Fr*Fv_NtAu6;aM)tndl(ve#Cc&Kf+nD?+W<Y)
z?V?ct$$wyFHz`M*a2X|mH~dvr-M1@7?|+Y-faY%GlOCxN#;z?|tb1T(1z*^xBI-bk
zVdtN$QfM3j`u-m2^WCXx6yd|9q<`I~I#VM$=as@ustp1zvS@4AS~`fCdkYoulKJr-
zy^T(sRdrBWqcGQ7ykaK-BDd2@iW?ydPKQj!>HLzR05UX;pBOPyRjiz0Od7{yKyNyE
zR<n;su4^bPkB~dtE7owV%*>Jg0k_NE*Vj5-$P2autbaT^P1C!|cT|8;p=iUX;-k8-
zs*U0z!|~jXCHIqA1A8(_PZ96^zQsb4rtSOiPsU4Ym??evh#gB~lw8WL%kg^`36;+5
z{al1YhY#zl)SU6WEOyu@W<2V=OTiOc-@WS;s_AW@0hri19vx;?cjA6~Nerjya;Nl1
zk4A#KTvwW*|D}NUU3OxuH;!Kt0CN0NH<5;a&mIj?R!mwr955s>`)%3Fa`yo<s)MLz
z-y_Rw*ZxLR5xYZ-@`5n>!!F*{3uRJYK6bHbraY6_vlE^gG)<keb<R(fJ8QOH@f}al
z+Kznsly0ETs#PM0$NG9G(B}gO4=%V?pRIpA(rs)}FG<kS(vtLEc)2v&?+Y(H$Y9<$
z)_yvISFGB8&aFOv970`(#E_^cCwD(BYJz$y)ZZ%5dBB>J&Esd&;Qfn%WzAZDS@@J`
zFL>?Qzdu>U*9VUFupQ=1<d<jMA#Zc;CW0!UoWRO(ZqdMg##*Wt(@(o(Yc7BxfCLMp
zZZ~|u2&hy~waQ2L{pOte+#&p09hO08;;`{TXS(t!f&Q_GjpN_V%OwwcT{^)UZEPfX
zI4x727c5<?+Gq4}AUrc`)8Z>b?#3~}DD*(`J*nD$^OO;;lsEQhw+?&Syd}(S9?06{
zcxZgK5vJ>w=yWmd0{t{o-;zNRC%Ka#y$HQ%=;p3la%)zHiSOPKXQ~5Cm~oH*iKg}R
zEL^}40>a>zZV_@_DUrla`fw`1La@<&ya5Ly*fS(HPY8Z~?&R+7*zqRuBI6v}{W^27
zD8O7Vnk!LkkKUQX=d1)gO)>8~=kS%uhF>8?W~U|Ox(Dny+;~s?!_L4>7{f~8gSS_n
z5jP79ev{}YPl%aiNapq4ceAE=rzo>I-YSgQU>Z;~X8t_d^{-IKgpTsE_qDHX@rKvD
zn)xWKiMc9*_vqG8d~Qsxh`A=!C&Hb}coE*I!?Y4qYJ#k3W`n}Uv9HxXZ_)nCDX8#B
zhI$K&KwIcta1<*QvGuVB>-u!WwyJdVMD%@(letYHK5h>^DBd%%f!z7sp|dwPAIBa>
zzxGiJTp$``AW=Y$VGa#hFVv=ujlbc{)AafCubqC^9V<6(f6;1sP|x=uZj%pI1R59s
zF(-rhC;Z}?Z%Sw9c))zc%s#Mb=ahWdLrx%nNQ4J*WLoJ*w3?}I?_T*3kVbMsLQOE(
z?^v9Krdv(UIEg9Rl$WvlyYW=4u0qsP``q+-Uhki*WD+vUzjZk)YA1-rVcDf>!cD8b
zdndsTy<z-gsuwg2GDbyQ4>d!lf?7;!-%zaDa0&+K8yd3m@N9x??Q2uqKVlMs`V|_Q
z^{Q(BM(EQ`DQI@lO2H_8tLGm%?MZm+MrDLiT30t5g2$-CyYTtSuRjcnZKL!{6CpUc
zI>>8K65#FP;_j{|QLU&L|Hi0ExH@f`fCP+HuOp8f(=Ozg_|11;A$*YYC<w#ew_gdX
z+qJ#psc%TQ8#Y-ZI%Ld#r5k<V>av9QlS!WWahxJZGBPk=_WQR9g8AdQzHsLsy_cUx
z`rF&3j~sbC4r<Axrt_afi+ZiW!v6Ww(9tWVPaQ~9GtTvudYRg`|Gs1-l>Wm+kFN8~
z@~xuVr`xN4NfAVrnyq|!4rVPG>A5b;CgqhqlOSN02Cvkx(I4tFx%PhOnJr-s;}!v+
z2659F*MeW(#U=llnA?{Mj!kpTmCE22(n>~^zmc)A?l^g9nUi=(4@xoYH*0lk+G6~$
zO21n=cjvM6HVmsIxkW`u()O$k&fAI)kERPm)pV0`2ZsvYndhQ;Qw7QnK4Qh*BVa`d
zM(aGU<M#$BCI@CqK~qHZw!XfxW{t6Yb8vFf_WJcJ1{Nc}iKp#I2;Zem+Zj6|COop%
zb`Y*DG11H|9qioNm&EBOz#Jz<M-@91=KR&J5DpcnVI5mB!Tcj8YmnE}n$O2l&Clp+
zIcD)+cs*C=Xf&rnFe<*mL)?{RQV+E|Pft|bpR$H=e*7+TqMrdZxig2b6f0TV#N5I~
z0yYgEP5R*5fFp%Q=gTnr0*PC)hB|}pbMr}Yjhwq0;W*MlxshrgU3wi3)c~GUlIzkd
z)U6|xG&5^HAC>!$4s{*47byTq6+b=S<K7l+x^ES-wssJL82N~1Z;QV>B%t{NqzPCQ
z{FS$plcc>H==kbtbu{r{1Cz!J^78@6h>D4IU3_=h#K_2|^Eys*;Qn@YcEZepM8N0c
zvA|LFk7AB_YP#|SIYq_d&g!_HecDG@*x9N1$MWY3(!Ztrs0K0cf;tAzWP|gkcbb$f
zr+ar3;Ldh<JLa_M;gpy+fm~5#M7B<ES+>tgLl)=S+qdwU`NasO0(0f}DkpczKT+wF
z)jb@b@Dao|?&(u6nUxq`U_U=t5ch|A-*TP3MefRV2X8V0aWg>q#W@krq;WYVSr%($
z%`d)@D_8Hx@+EGPq#*L?>DRGW2G3w@PMc%aM1>YD%#QHt4RolImPfyHB8X)+{CDQ2
zg+5K~#xYUW2u|r=P>O7}BzvrUdTH&+o3KS7q!PG%PgF=Q?x-7bbXMTut|YseCY3rX
z#y2R35#jmnp^3d+@cey;J%EbIlhp61DCs%hf=q@|&Ee?FK2Pq!54lVN<<zHk%Y}RW
z&ZfYGU(&y#g~Q^l!C1QL2oca-09s#P50C}<Wj!+`E>2F+UsM7fAKPM69Ixr-|6IRd
z^lp4TX#Y*Ci#QpHA`GmqMV-+vH2vK?%-s;iE_DaSB)%=n5(MN?<{-))7AneJ>56fF
z54;CQ@BL@@*M;GNwg3ywc+-=b<+rd%n1Vv=qsRfznZtMHcXt2$cuF|C=06^}L<TG&
zLBiF&cqkD|Xo&j3U1nur0a*;l{-iL=>vJM97J4U7&Mz&sTPs3H1o=eRg9osi#36RY
z{;CtP*#KMh9d1nUWxf4C;*reHTjVL4{$y+<DHsW}e-)j#n8Nbp9x<`&KP5V9)Po+2
z+*uVO&~YBo^3DBpuez>oFDMgqy~#Y4ih4(;l`3}jCqfj5);jw(`7yY`L*jbyAcC-S
z?}aspTl_K=65~22=S5MHXY#e9*&|q;r0k0RGZ>_HM3iGsie!;mW{a65c&18NTNS1y
ze$L(mEMFfE?*DeWp{9!gPa0S)qTuUCHbFT)X!2N&EYl9jx3p>1b4}@Tu@^TXBy5S7
zZd@D=(STTq75W5t;Qfxy5!hK-Pm|9@@c@ztG$wX!N0sRA0r;rsUzv*}lCU@zhjRXW
zxY2Q}G}JJdad{y2CaAq$=lhM7^DGX^q1tN$a&vzAe$54D7Pimz+^PP0P{Mk2S>`{g
zL}(SDNd**o(bMwXV~I!VnZsb=h_gF<f7VvtM*2XvLG3w#kTa;3agy~G^*ZC2hdSLz
z^oE1Oy{<=tn7Ggo%VcV;S?|0&Jvd3u6A{v7luxFT7^t=9Qm(0gaB%Pg-o;%OkfmVr
z52XKn4Pv7R0q)Xt&q^Sh2~lSD^VB`_eb6KTE{BARC8i@;w}J1${YKS7Zp4k?F`4}_
zeOuQX3xp_-m;$YKA1JQlSEgdiF<&_#y2)^W0>z(5uE^hN1aX7q`n@|p;npB72`Y#&
z7}@NVk--+pZTOZbC~$851aSuP?}5gdD_3|}SQd-xDE_w}<UKMm;enoWL_6bw{QVhv
z?SRqir*>Oi*Rb00-fda|Q>K?YBeYtmU7sc1gue^r#qaF8>0x-lq}T5;De%P^Y=E{i
z{!D=T|D8KvbUg(^sJ<$aS95hu?7S&8d{b-0$;l~B$unQeb$_Yr(C{$MTAp3Ih_;u1
z|K2fl5iO+?cbn)FHCmc)k$VyZC=0rM*d$Gu)LWP;MJ!dMePBk`aDHB%8C6TN3Nj+O
ze`eOX*i<|{rYnz44M^$B=ACk-z6A}>S#a-hq2p0F0@WqzKbfM5Ua}41r}`N>Sp)w5
zy$i0C$ghKC0g^W6+1KA+u_o()1u2lDkn+G%(au)q87H>m(Ntnh?i-+Ykw>4PeN8YK
z7N{w->k)ca3d;`o>Io786wDkPOS+y7aQcKE)0C=Jcktb{S;H(fzP{W9L~2Y<X-lf?
zY1C@QJi}fW*C(_@F`=)AI`3t`!`9cYi}@jN4vu*6Egv1N`*F6Xt1FD-@R(0OKaPfP
znu#jDA5v0MV5>wl|A>dPMFX<(jLzBr)<!>yOLzk+;FB{l7XfN38=aJ)i_Li5{tN#R
z&l9##si=aXIRF_X!-yp7Zx|_(<Zsr`d7+njDrFH=TwMI5qx{a=A5^`nQ;J3ptDJ50
zNr0|2L)!-N_tBa?h_YP<mXVd2309)y`t6g%Dg@F>|Ki0iG~9RZl49^#XJ2>oQ}tWT
zTwP}zIbYe@I*-W&p-U$UvM&@{`gmoWdk=*<JR%5#$~NP0*L%+9KMrJb9@uiP8=(xP
z4#+bJ7GV6sa|_gOGw*b%T)?V}K^Sot94G2nztT-~AkazAEAcV=&6f|(+&AChqY&`-
z6v1O!s%&8oIX6L=GjGQF?+P_J>0rKPBlfI(=LV`cYTm?d*bTWVBweC%cVC%oO9$2a
z{?#k37iZ>`uAV<HeX}IWV>h9Y_2~GsQ<QKEgNh)TRY;^s>u?xD;?>~G4~Sv8*gHMy
z`Df%kN4;z&3H!FdP(cDO1OuK}c|JXI4=oJXlcJ(xhaX%@9=Yl1*4liY?D~W$WyrzM
zc-y;3R`P87kZe{HOnZa1KGu(QNEXRHzcrym6<(y(Z(8>Fs=@Ac@p}~&zG`Y!<rVJg
zGrI%Tozb#|AKqeQX>it4nkN_Y-A8PF6yO|UYdcx#Pp0E=9A<>@_cj!U;+<90(%c^H
zA*@k|k~lUtD0M&q6CDJJ&(rS7Bfbp%-Nj^LfCC`PhDk4wFAzaDZpdDUl&R2oB!mqI
zOdKChz2I!6r`?xk%ujgEV!D|l_mn)(sO)+V(WkFIHyF|cD96HwHN&|-{gL{|Bt-g_
z;ijP#RZ>>|@W~nV3{i(i7?po!=e-elab^u;2lvr+-{mid`5$IpuUVNApZeyNbC*=`
zE{!m$NRf@8jQItV-O{Zrk8DEs)yqn8hW_mIdQhH9YJOa8QY-4^VqfF8-!orUESxUJ
z)WzNLJlpinCvP0KuU0b7<4v1ND+{>@PqiJK_u%E_#V-#a!e=w@h)xbp69~#L(C@x=
zW%}V|QJ#p&nz@;MZ*S=XrP<JVa0-1dP%dU_^8PQi58X@q9=TKJ4J!F~(h)>yxMe*4
z*jztRN^p?z0wDmT4>3`f3asc8b|zk>SeZ$+{Hu9-i&@_CYkT|j6O%OlhyfkRS+iTt
za||+9{WCHqQ`7=bF|121R(5jOFGp1UIVLG3)rE!<l>;&MzH8jW+}ExS1XD3Hg-EyM
zT~oT$&Gg^hL|KD#^g=?<00Kgf^kI#ydC&<M=Ds4MZ8mi~zs)*!h(X83-gl)uj*ua7
zJul@c91|MQo9P&Iz{L7B8R6F{$*-yh_;$R@zjA_aKUu}kjcC=?(khL|EBjj7jv&Y`
z9Z>)Uv8uq*@A=9*o*{$h#mx3IAE^bsI7u@!!WFY~Do;Bcwzt?ENeHhpG9WW58#Lcz
zY!k2SHf03DnUv9CQ?J9#JB35n`=MjY@HwZ3^`+nGr=JL}sjHz7efxF@9MryjRz#R=
zj7Jm;@|Y5;E2z$%ZG*E9ky)+qfy;Z?OI!2@aM8#1(UYXXp@uL0^K_yMOz|&wv#=nw
zTo%q%Sfz$|2FwEXXfviY9n<lh(RZ|+)0|?s_Lx7LNo-p3TeZ{gFYC%Td!5&rd3bmb
z+9D!<63;S5b7yBMoi+%Dfo{~-*ALk`_Lc}RQIADbpZF=32Bt|kW5JO*%#Ea*g22Cj
zfAO6)Oor|R{L!|TItvR6#<^UXFU_}vZ8B1>_yxD*O&<DlP(VWBs)0djdbnO+%|{ab
z5y3)&z3#Jo-UYXz)&05BlL~cDPOMIH3O|fT<@WbigU+?xsfyj}wA)Nk?%z{?S4atE
z;4uktud2@Y<n$kRmL|{@+<i@YZntC)&n`-fdc)_tS+ABj;ZAPAll+b{ep+jFwK)ds
zm?BM;r2o?b#Ke^A>}8@x-vR&uW^W=QB5_wvLqm7_=!!8FbLG}44B;G)isxbz#p>F%
znvSV66p7u7-}(C2d_I#4_hKs<;bAqq7c4><W1Vh^jlADJc;TmCG8qBsZ5O-Z$g5R?
z5fjwGC@dl(NXq{2GdyJWTA@Od04rR;N2Ym36~>$E=b=r;pF{6);Nc<6LQYOFe_P$w
zJIF!<77{XNAQU9*931pK3g6q?mzE|C&y;Wf-t*_GcLz~dnwXfK9?my*DnUV?<wHV1
z={!Wmr7okyo%d@w<>lTNFLETeKpqc-bbH%;o*c?`;)7ekCCX|KN+0j~HD!EU%Wrr6
z{xqv!y(jnuA_FNXUc7t>l6=lX2`vO(I0i16tm2H@_SWXTiR)_N0VFTkzX~<lm(c5~
zkXqz@JpBzzEBJ2U8BbQsYsZQMIDyLh970ZCP9po4kbGMGwp4y2KT}!+@8goVcl3oi
z>^4Cy`)V>I2uh9BEhJiBX5~EpJcnN6(P1KP4nhfscJiCy^xyjDHMF@D?h!CGnc(GU
zVY*OpcjjOZg^*aua&V8r$a&N16{q6kz7}t9@gLbOZ%L4}{^C$i<pVqzRN571YJ<r*
z*`3~t`fc}9<fi6NT;Bx|J(^<r6yNPF$V)l|2c`vvUs}fSOR*_=(*0^{fA!{`ccbKt
zqLRm)stf!@mTQ6;8$vk>Jm$@xcvZr*1EME1r`mmbSVqUv7X!DP{#fyHj2d}v1<~^X
zi^7i|v&hTrV+_osmvh*2ZP<>S)I7?BZhL92oYJ5Ak7(0R{}pbjc8b&t0@I@h$5kvg
z1ljG}zQjC@h;GpT91Q8{DxU`FV6qmRWnn+|yWw$cEc%*F`QLc^a5yJZ2-%-BjQsC;
zULNKR=5p&x+bWoMu=fAXdqd_~jg+vku!pB7kv!cNQjUfiviDs9c4m8teg&u**v5wf
zQER<>drkQhoU>PE`xzM-B}7D^N`>qWn*=}=A3~DeQUxBIeC`YX+%@mxf4IxW@9koo
zgM1TBfcB-oh?anI3#~VVHy{&WML{f7r2cafMD4f^xun$Tz$jT?b=C(O_$Vx2yOEe0
zK=llt8+>u%_JW{UP7v&2Zw+iK^(1NA`@;%<8?I5nB)F*#2f4=_4QZ@jqE<ix@vB!8
z$Sh-{2}Hi}DJ9X~0J;ZEw_m1p)(Xhwr!`)lK6)b5z4A{@$*vApV%bDeSJTmp=<C5p
z!I+mgFD3*gh73C4brYu9P?<PW!T#9u{_2jJA1N=HQx8z<OgeO+>snssm2qHSXl-kQ
z3q8>)=UndGIj3R{P?O-1Eb2d2)zys-)rI6exkVN5{81;T@%-A3`!-EHtxxvs-<L_(
z#Czi@S=mw3jEH#6UY*K}U{^HlkOV^O`252JRA#{bU`=%<DZqftEGz66<-M1J#JJeG
zK`e=IBa1wzzqyAL)#ng48fSl&rl*G&B-hNG5BziS#_IQ7eWmkh)Q@BYO6dsQ6!%-y
z?l8D*Jj<Y$(R`KFFnp~ftIAY+;<Z3dTEQ~EA93wdE{$oc6>8W+IU~0-5%YdBanHX`
z=<B17YkuI=Ad~S|t+XmYpfaD2oxdtkZ3M4;RtiQ%y1aY(_a^8xUKBr7@l}?Pm~GQj
z+4TMe-|}|%es3H(9VZz1%4r)uq}bM88~VyKGB$=G2MP$^J38_c+XtW!N0Wf##zOfF
z3ySMZU-<@}97w`pEq5x++HU{EQqt!)ISd4Jen9etG(#h&zQO46?ORBEe9*EYltSy|
zx&K$Oe7O)~d0D&|DP7HsYdVZ!Y!W8W?fo}Ca8|F$IXH@SHH`XB&~+a$0G$~1h-gWW
zM6zu>yrn7Tlo*eQUH7SsjHD$D*%ZM93z3T)c0;`)o$R;5pG=2G^arfmxHdYPh?Kq7
zwBv;MOHl@-M{mhpx?7`pn)0(<>YIB<wcmf2pp<8DlTbUS0F^T>4NYxbJs3<f)iSX&
zBWdq+D*t-_5hxOSoOI$raP*`3&Ewejpyxbtzh*EFuy<#t*3U2iC$M?I4h#&;CB*}g
z3W*J$#Yll;wH8>xh=C*#C`9vx$+v=c<Va-dZER0y9V+Tqb>nEdm1lLkxS->RdGi5+
zk;*Q<if>J#g!B({E>)q~h<-$8{RwzdZ7{^L;QO(hp|Da@#b~xDB9oI!v0d)hXr_Z&
ze_B^JW-;c@K>^avtH;nyfYd)g6MVrn<0@THyxfAkrgy;9q1>*{b-uF0)G({sb$?Zq
z&{@EuV7EFiLTb*O(B=8~5aT9YR3sVt{0coOO431h{$-UrVRSHzicd&DZP}ixLqCWj
zuoCpr)?ZcC;PGh^VmJtl103J@Z2tI6f)N<+|F^RZ5A;fRXL&yj-5t!#%X`Dj4B+S5
z*sh0=Z4u=YA4%laY%lO%^R@7JXFAw&|5T1La2~u!J`GLVdaHM~(Bgp3po|+jC=oir
zD9`YX#+jdbONy9>byi=W9dpEpK<Kcqvrf)U*7GEOAp310XYhP?&4r7Au`WM9AJZ{x
zW&tW}*B$?N(KsBpiX?f5;r)}dgM0fYuqEW;esp&7+1+b$@rJ!{P0#;F)O!bF*|-1W
zr!AXgWke~JY?4h#Mv)N;ml4Tskv$`;PzYr!Aw;$a(U4RMm0ejCGLp#erTh7OfBt&@
zc<%eYT+Z|TK91L<;J=vqb33kVfOoh?)^Hf$1O%yqaAsgNFup*^q`M-3_W`j^!E+uW
z_uJpmcAiaAvARIf6+r|iC2bByqYB&&91->c-uUhv73Al+wS!{d^?`DPxMpv^Cb}Fu
z-6^OzM{E@vwmNk8xv$0Dd%@n3!!4V!nM#mz8N9`ChnmiwV~^{8NuClhVaNUU!nW_i
z=9JcEN81j&$xAB}<V4DgTS}LHy13^iB)rB(m)e9%XFR+wo<GN@$M@vo&~wQai{l!K
zYk=oYarTdJ_J8+0XmE0cZAy25M?5^|5taS-xgRVi8F6!-e>ZH$sC=O>jWqA?f0iBb
zD~aTNZ|@w%%dj#rvbslPzOLYyQL~u9Y`UjvHq6k!Am%HrO|B+{g4bjb0#}1HnnLl*
z7SASR-?#MG)-15cbl45*5M1Mg9z{(_ME1^aFUd&jG_#A^$N0~rXWgNWRMC0fdR>5Z
z>()O`*0dqB9YP37C+lGl<<R@8SBJfS=drMV^KocuZ(b0tI_Pqbu`hnDwP`xMHah<s
z;ZC*{o-5Mwsov8($}BW0;lJEb3Lht+di%wf=eKh>!QXG*yxDY%*Xi0y#;9m=rhS+y
zaDO35b)&+T@6QQYr34*z#N4ABeSE(5<o*2oFF+7&?B#rbkfx>aRR5L#b15Z%L`|C4
znr!dEZ#BCWz<6SB+`+dSmn+$)xQ<`vvfi|+78Ek7dlAjcca?(v`ePYSOlcnR#La@~
z6B)p$bHU*{v^ur%_H6u09%Puz@Femw9eQ(Nm3agP7#Ra`zTW)6E0V9<z0b|Qw*7=u
z;C=hPL-sIw9}hDqWpIq5mX%TEJujX<?Q6IMe^YuP6W);{ypImh@7ogla3-y+fkSWU
zf>}F|ATltjp9TkixW_!^c;iIVeTaGHz^G&81Q1R_?qx@iw)di$ED>CIu{6c8fL_N(
zHzG0;8FFWeT7r~2ZN3Z2+$gsbI_Wn1_h`*5rS!>>H_C&>b!5b#gisSyDd^L}ew?U~
zk9QvfX>IL+V5k9>W`<Oeq%0_yeeYg$>&V@IPPAXr!G-Y)u1AlNW!>fZVdE|PKt!KE
zdS;yT)6oAM6HZM0E2gGyS#JgxOPKjyG;ZP&p&ROKUZdPljYIkFQJu+)Ym<ko$V~fr
z;+4h&V#*O}-4HfXXQeL{-6OoO1jWkSAhTmUv>a({Wb}B|2YJtu)as3!NVusq3CQ0m
z$<^r!2=k+4#Sb6e*p##)aN{pIV)n#YXm>Itm^E>=f3T0D8a<bW7f5(Obuj$%X9prF
zBP&}p_xMr18HSdZr*XJ%Xd8|-;-mw2^$7(-aE!ooI@*qR8`*FhskTy^dohF{6ZEru
zUxlW&dZ~E9ur+z&d{L&d-%jW7)8I8+T+)-1tG>!C1@)B(g&Kxma5A)D1|fo{iT^5;
z9?)}%EIHd^aei1<hA^NjadE=hQU7~v*5%s7qJn(bxQt6K*2R1q{Kfk?=@1B1clY~J
z%mPQ6{f=}SYPeH%MGR}3bYQqAVqtnm+}=im%BQjb*3a_GQw&`Z&3^l}`)zxO+0S!1
zEc<i1`{-~cA65AsezPejhrDU2Wz|sz9cTL%%bRmga3(FAS`1B>Z@EBZ<@Nk_U&FIX
zynprWSW}yP>e$$?vNh^1rDTrgRGo+Lz%5<m@LIOQU<<95VvI-sV||);jI@W<k$DYr
z0FF>)_<INi1qA@M$h?;BEzZui1-6=9`0{v5{^qY|UyyBU<T|6v<wnCN%WfjHgQ_}*
zH7Uf!#kL^qv;XXG|8m0Y<Vl9+ciKzGN*J<pqo3nRi>5=2k+sJsRe_DONJ2g9d#E*y
zgca|_<MhUtO7HUUX*?}I#hYlwM8IwqG_0^GT$TH4rXw-h9X2>Pi8piYu#3=t(>KND
zLqaz_D1!?ov5sR^S&uM?PKAV)=vwpT8~(&RcL08{-zDT+#s``;N_)wYSBU2E`JlIz
ziBRF)miN-QcRf^zhGRuX++ERcNi_2n`WTZH(EWp%v+l#i-;;V8MyWqSKl?ZM|2}q)
zt#6~OHz8p}U^{J8gc8kKoa6<r6>idyo2HYRy7~yDEIH1WMn>iN`4MwpQlg);ZxzHL
zXle26=k@>QakXs?`B7FZu)D7Jos2^C5kZ~y!0*ce!|R7!6lJcDR5QIVJxRAHEAffv
zzMT0v9;dDhU|a~u=e7&Er9!G8NYg<$8tOd+WvH@uTWtn(f4=|0DLXw1rbvpc#$Uy9
zbM*_XRiq0+HWLn;h+k~81Fn-GffXogIGKsqh#Er?NUT1WN%UJRT`8z1{b6i#IPby`
z^`v!tc+Lm#5VR2hV|kf6kXZ`jwCEMdQb{<q!0({m@7Bs__s{z;HH^2)S+~?)TY|s=
z8QelDD%Rfw4?x!KJ$UI57DF)RaCQ|PL4=loe(-GtO_?9<xp~xtWBpj<B`Z0$eB4-+
z36tgxoN;byzrM+Ys1a(9yw@TV_$fmNg`=y<|2-C6yGF#f<>aq>pQ1fV(Y-iBOSqXX
z>~D_|qHJq+sfj(v^}=N5tLtjZku9_&QH~;<O4X8>UlEKJ0E`RIwv4RoAvn`<z#F`@
z4$RoJ@lr1D7nG*>hRGK?0=vbSCw7>;Z+9$x<uC^!l9+hR#s(73)2B`?jysW1(Lk&g
zSkv^#kOzlqFsnY^KZZ=?j;jJR67Tt?2S|6XJh1!}+j7gNL9|8x_@`)f5-AI;g^6q_
za311vqiUFhRj0(<cUb8saoDB?>@>(Np}113)A?OV)5<CUYyrgW_~<AJwy>zh0tvcG
z_Y3Zya~Cf%F*3rnj?Lf1EcpiSq5nNSK6+R(A+pDY>A^L+bh&*P<2;NTr~FSBKAmvm
z%&OW%1g7?WFOh9sHKO$kIq~{C_G&^UqpvWKEK8&~HL7;Ir#RWB1M-~YhQ+|8z&Y!7
zkz8FFwyjc~=8@vux|B1|9KrvCK0ZKkD8r*Re!VOC$J(Sq^gUZUyA~yr{rmSLAyM{}
zbI=9Jm8s^vtp|z4m-2rJzg03de1rXp5<m`cM*wyRSRRSAyYmad77Yzb=d3bp-o2bZ
zc_qe;-sodgv(rB4OxUWW`4dq@9vkTZ#sdLROauAM0}=6i(mr&5q9(>@Y*UU_E81s;
zRM?P4wH>Y#!2oRIkEC46K`#Tal+GvN?&+yVp1T-X(+dmdS1Yd3YZ8BoJYfZqmVWW_
zm8t-p2lM1$REke3CDo<Lb%m6pZB89?-!CofR}UI<w>tD=L|q8OMcbAo0EoO88DoE(
zB9RP_9V5>gFI^t%xQe=-?UM$uxIWxiV=<+jKqpjY1L@yX@Yj8zn9R)BI4Lb{rD%%N
z;gl7IeUL>`cpn~Y;9L*^9!obRI@>2L%t~GC>lhdq1{dtCA5)sB=(O#Zb_kEZK+B4l
zR^^n1osi^U<w?t#eH&D#ob0DC;wYn{96g<2E=P9g$0$I_W8|qgID_8|Zhn<2Z{Wyv
zZlgR6c!%2C%3e>=Ok(Ti%Bt-$R43Np;l`H%c0uw+=jpTp=d>4JV3WX_bu&F(Pk0Gp
z8vKv(FJH6{9ooEI^S}8fJZKBRl+LgmRLG9C&H4_`TD%6?TvO90&PJhsYQdU5GU~Dv
zv$5~tjI{l1)j5iB+|+4@f8E<_Tczk&zkQYJ!3$00)?T>uao1Y2&y{MC3ep!wt|qc1
zQ(wCD8@Wr@$tSHjA~OGmaewq&7JI&IF3lIPKy0h#{pd05DAVV<^d?{L=AW#*JXG%h
zABZcFnzA2xXYXH6gf#`TF;i_}iBdCSk8HhPS~}xIo9V?x3VnYuJa1HA0<a;Bpz!H5
z?<kjiQmt}pNA9S2u!p12EVl^hi-Z2f%a^5o?(tNqe0wmlU=rpw244ADEG*EB-&l0>
zd3fcI?_~xn!-SYuyT+1o35hd3B8P`)fu?{^`@!5IA1NkztaDH;>U0AlC_B@J>;}KC
zI0iZ4BcmCa@b}}tBcQ%x?((|3Qt~$%1KhA#1C0fX=Q%~@3_pfHOE3Sz!*=%C@sQyi
zq90=7Qq+uka2EI`|J}**cQ?SPZkbz&iDxmrqN?V$qBs0oN8ZE&Gn&9$i)qFFyVvl+
zlNMo(FC@+q7)D@kg=2P=Q|$JC;335^a&y4WD2YTWGR^gd-%ABJzp%|BxoQs`Zmt`*
z0lE23VKVuR?zcP>$&IuHUZ(Lt^2DDGol7E{y!!FHqpjvo38yTnnZRVx$;SI=d#<;~
zHo85w4h{={G6+z1`+zmaUt_&4=f;)XNWmJHct*r4;l_<8J}pt@4<4Wt#c1-DqQmaf
zJo|IW0Oxf**vQquS$W5K<>Sr1b+T`r&9>?{BM%>`ndjr(_qwO&^UTcplqV0U>xTse
zj(&cM##hy&alWFz2t>8hsYNj*w*QUag9==nnmX(cR}OL^21CoJLqJH%s;=lR&x!jK
z!Px~2SJkPd`4HLk-P(BNP6@@ehms?n@^I==&A#J4>Hp??#3eORGhXUoh?jA8Ml@Y3
zpY;4eGekvrO7pl+lh(PvsfK-2_!LW>@?vdu{*{}n!VBASb5Q^$*|hs}9ZF{{DG7Xm
zH+qHcFvvWqs;-7hdkZaP(ycktc8>VV#x^w{M?c=IX=2s3^ug5wCNs5_JFIA=k$p(2
zHzI`kbn{1ws+|(u&7Lmb)(J(9kem$<7nTGFSYa09gy`r6hEsUEkfb1U!}jg=>G+Vs
zpRj5d9L*H#S3yu8BV$~RsQ;yVAA8l`%KHl7kvnq49e)1@y8>c-UMw~?NyFi#d-!la
zLKXHqc}dW=7B}0DT@thApa`xNQ%M&MczT<Vd8lD(`VcmqA-8Y!1Ml*4a?Yad_3IEV
z`G~-CoOW2yZf0hRyKkbU?SAtH1=%PTK$5tU_YYnz+i|;2?$;N37>;LLiuLHS!wd+&
z7ZQ_xec1kQ+HLr*^Nv6Vg3Fny2TVP$Uqg8A-+HOaW61jW@%_HrmI8>E$Ep2FzW1G{
zx)Z7h2TgszpNoehabw3}O9!zb_8}%I)9zZh(db(le}8sj<9C;%zH|;R8W#I%w~tF>
zvULym_bO*+GZ3bWeHZBO2!uSbgC<SK^qKELw#}Q#mKW@Ven>M#&Ws-B5oNq~{SXdh
zsmYTJxFql2zmEmTCZoAuJn#GBuK_Hz8%HkEEtAnS0psDFN6Qn+lbd&Yl{@WLdcPgP
z(;q*cu(p1LYgt}i9!-!{RmmM=7M7OxLHWQNn|KJ%5>`UxfEAhDyPq{T2XhJj?}1(Q
zBb{UcwF7*Vp3XN<b4?5rz}Vy@Hw%k|$1XEpyDnO;(^>a7g}f?zSNfK%tf2gOjD{nz
zJvgE%_(pcD<fSbl_b%t;<RmA@D%2rKA0PkcuU|F+bbb_)J#?aUa|fP^k|BPT8Js9u
z=Yap5qVe>S72Waa&vO^Auad;X<RmUL(|7yHp*uvB%n~9-^?9<L)5_z2HBxiBEPQu2
zVokqt&|BT82V?&E^XCCILwpPOVwL;AnR_^H@&x|;nXp}_Nqs~GndohW3wt74F?A51
z`x*zGwAI;Z>t(z6u9R`su)gzJ{~Iu;7l{92fsoXlU;U|KaNvQCJY1^Bf3+H1Ipz!-
zCKvjkkV!F#w^|n{+*J=A;}?nk0P`5AU%y+w+(KwcLBgu5vncy%MGgXNTron5TXC0Q
zt(o7Wkj&R?S$gE)y9T;%a~(H4%lf~8dBf|OiH{{GSCyUpxVf2xEgp!j;IlQM)m)Ub
zT30w4VB;?5D5!7N-1?5OhA;B^>J&15MNd>AdDlvWU5x*u!J3`9JkPUBHM4p4aMJEz
zj@>v`*By7b1S9G|_ec2R!UE>rq3*SHyrAIj)(kv<8hZ-UMbCYn8zVP)FF0%Q0>55<
zXEpxubZD#-6Gv+|<<i)dQEAHLNVEJU-w@dS0Gjsaz6-3hU}QG9_XNL|&CDccB2D`u
zceoIKAINGRB5n8GyTZc4wf8r1p^+^lJv=}|Dy9+^n@a00rdtrXPfdE0cNj{8qi-j6
ztJ;-tesUA+Xphn0t)XbrAx@(|;LI7j9nY|+5k5nvOSPhll6RR$A1J1pRDki7!Q|$L
zFIGUw2X$)ahMUO_v%YR_Ztm<9RaI35#R*ofjW*#QfI~iFLp~OY1kvH)VMBBC<()U0
z2g9Mk*+dx%P{Xw;<oo_@9qJuLpR>_i0*2G%U5}<y^ApSV^6IhR<436fc-Vg^>uQ#j
zl!<$JoFGBD;9BK+*a^2B=w5uj&eGz}pe+rcZ&l8H?Zo1Hj2+eI#kg=`>x=!vRPhPm
zmK^=212rtsD;(%^cO7hi9u(;?Ou?Ou8?Y*VkuL}Cx`mEA7T=EEeGnXGsP4&_=0_h-
zPdCFCS6osr_7g}a@il&;>HwQ`CtcM}oxQFYw}G^PQ9ulkZf8USLmcysMc6=(@~`l`
zu{w8XRGS^Iz>XhWB^WfbvJ5STj-A}+*Ajk`kdTqlWG>YM2Zv{D1W+1`VTrXe5K<u?
ze-W>j<iJ0s(rz$lJpivINR~#QIgK4`i<56VUcTHXFYf~w-Fs~MNBhBp+^!t=rpSUj
z#()T(1v0VW()c@?znM0O7snyK5oe$d-{VW@>xFik`Hs#iyFSuD>04+y^?i@a)0WqJ
z)U?PhI;MWPT-e&2Q|6!~ru6uh;)CLZf7j)5@3ty6WIO2V=&)4dIWlHP^=hE$Hk`+?
z@$qP5r<}cc=NseTach9|Xx(*k8i$=5*qK<0i><AsYo7#^CGal;Xv^raNQ+T7FmQum
zr}0)JC_x;9H8tit*tmIk6y)U>7S3|-ch883c!Ed{_%7eXP!Z;$99plT=Ev&-nRt%K
zbNEuR5AKhMnDc1>*4oZ7`SQTQNTP&~RDR8vS}djL&YfMd!+_0X4ECN)xE}etUd?E@
zOmT>H_OtD&sJw<Hn2Ygf6WDSH23bF=*aVKz2dtc&ob2qHZx_t{R-I%-7ax1H4NzwI
z>)>0;ftMKLa^j>rxHFi3?%uoi96sf#{QpCh2Yp4NrR3ybeY;;+C@Ci=CMvpmu;5g=
zIf4`s@V|+U4)-V$eMisMZm<GK3&$w7!SiEZTO9YA-a0vDarlz_@3MIh`+e-D_Df8>
zmP{{>AGTcFxBP=Vbd+d*|9(l<1$ypt7cRhICx$Y!E1FP7#r~3iyLZ>FU#M3G@-T{D
zxk;%Y=+dVPS-H7m(OdR%*@O?;jfHEB;6Nb*e%Yi$snY7rIX9p+X}ewfJbiO%VIi5r
zc%`H{w@^u$bRB}EcFW2xs<G^3AiEQ(_vG(Kme*X$h6+gxY64aS>DVJKk?0(eGdOi{
zX82K*U$DLUg4K52O=8!L+A@Se?)K`zEkB+abX&&xSSjcH#SPY!-?8+^w@;?Zo{&%A
zEJA21v~8zc&&bHgz)MmGPX56i;f5Q$3g<Vz*jj;$qCd=TB;=IY3DNEKT1hA?FK2CD
zJYJg!6v;sSG+o!_;l7SCDash~`O$B`4s836kKowG(Tqqjs?aWT16-l}>hEa(PYZxI
z45}X+<t2#SnE91RqKX8=bpBm48ww~F>auNLBm=?2T)B}R*-5T+>-7*9p9ZZK)GeND
zXP-}jsta13J9L;{oscnrn`5ZPD>px1>l5T-yA0A~?AsX%%M9u1W57#6GE{Kqj=+Jl
zd3AMZtt}E;xm>bym=Y$>>+5#{?Siu9*Vk8_fNwxmJU*N%xL0!T4k``S9(JQ%2KX<^
ztMgLvmXp;~@)&W~u*Ma$okw3|gxAut58Ixp;o41b>c$f7C;hmadY@eXNwy7*Dg~3J
zPQ%7mlnd=`d}@c+N@{SXg7}BRQS`^g+JF8$13f+JB;NG)?)v{hL^h~DFrXt7Y2ec*
z@RnS+#u)brSYL&2&{z^t2|66pKNl8|ndf6<uC#c_HSOxi`z(>lsxeDSIV*J+MFvJj
z{5w@Lg5O@fmdJc{k;^ec#rLkWrVr25iDuh_+uBOM78$XlkY^)5?2QbcfItwCQ-El4
z>23}VpP_VfaruLQLU7m+Ue@L1X^OC;ZbMN~vFVxEHf7~TKnzWrb}~I~6ZDzo9p~S^
zlm3E1x7ia<mu@wZC>tBw4yUm>A7bi+@2%uXyUTHWigEy*C97BF$NI`?8;<+YrnNtd
z1c<=P@o2(mm9|uA2gs}Z4~-2C@VC9XOxt<BY;-_u{aF<gJcH#ohtJl+P7M1e`iF+_
zZa#S(j+<j?ex4$$kReiq<+V<y7G@qKD<CWP0Ys`cjaD9HKnBw7930N0BOMuGSTX1+
zLvOz>plta_X)OFR=~rE$jh)J3+s%$!e_JXBMx;5+wC}pLw2t?AZH8>2iQcIxIO;On
z)k8hv8!Pi_x~(V+rrqDGM{Y*sh=76x{@5#k);|oY=+NBJ(cUxSb1mvJM}OB}hR&l^
zA=F>vG;Jt)s)yZ`_;+~|%NIFRe5*eW%f6L#QXD<^9Nu<Rc(HjYf=>GNBQ7e67`BVE
zH6vBbiqao_`vJOpgrGvQU3B}s2>utQjiUSaFIKiaVkZ6FGf?z^-{r_yphhcbL|ESh
z^D9x~6?yqGp5Cg;N+_Rj3PZMw(=e7tb`K=g=>qK^^mc{FR@u#)5_erLhlaKwoX>Z#
z66eAJxyuU?#;X2On`9V6%8K^XJfb$=pp8>|SpX#9kG(%<L#L7a)pVN*#4AAFE-W;=
zPjMa$+Pv&LmfPA_d+tsiLEYTleXVe97O4o#%oY`!|KBc$Y12o^`ryGZogGlw;NPpk
zyt!e0*Ri8xO8he$1{ttpF*&2$C$jHTUJ$<i^YweO4ZS*UWXzN=zt=R9owz^JVyxMq
z+4iEVb-+!KUGS%H-tBjO2opaGLm>u*QTzq2<7;H(S6YV25ttc%ewQ3KF)|`+9xR?8
z^P!3Lo{$^1q$IajjJzVbe}52I+t%^a?_%~{D;#YO!8sy0zKN4!-l+IUmvj3W;~M9G
zWwO=weps3|<rBf(%mhbV<gJ^rm)un;HmZdVKSVwO!i*OHe5RMa2{cOmOvz{Z*>u!Q
zCc20$3-M)gavZ3Oc?y)Pp|Np;tz4e7$KZ8<Nv^Xcr~Fp!>F?yck7B;>pFj`mhc|D|
zLaN{N<?GsZ5X3`#Hy4Rb;nl&wQJ@<iYV_N$s+xJ__Qi?qet99(=ieDx$1F<MMYm7i
zvmMll6$p2J1g7rtJRxzqJ4@B+KdI5GvMpN~$lkVn$YJk7@{XGux&;1fSn!>a|3yWe
zYL_N%C&ii>cjcf1gV<e7ExylvK6O;lrO%C?mCwm@cdg~U6DOW4tu`>^K2pc;0$pvJ
za4|VKIT)0l>z+ObwEHi_U47a1fI>%KAAtE!=(h755v;fmct&m{eNlE!_q+SK(PNpU
zB{|K4UTV~^Gv_(4V7&u>Ioc^lz#5A%rVZ-?zDKyWLDx?%Zoc@NRHii^T&Yp4&~M?E
z-Z2({rCE9V8?J+FtOhZs%R~zD_14I@v4>LkmFAqoFoi@GmK%efKL!2UFQngl$X9ek
zLnIWg`^;B161wefG{cjzrLTlgc2-&0)0}nUp?f=RIeGvT6(RULw)Fp`S=F@BIdEyE
z?vMb_qfPud$Z{uP@%mdlz{r%?h}FS8blk+GM=m7iE}j9XB2aDsz7j!c1JUgrGqx{+
zW*7A}ow9N`_Rw*;lHFE1`5sT!v!9lYXcMWhZKYPp^tihTV3r+O2*gqHzgYlE4F#>Q
zK_!_Qx*LaTc8OK@G*O@@HN)79qYh8l`Ca$d4)4)sx~AeVzeT3XZdgrmF5Mr^VL<#q
z28it1HBK_@)uEz_K;S}|iA<G-I=@B!UFYy*I?+Y&M;!veId_q#x^VIx63|UeOrUSS
zX=Z-w{lNDJSNWlrDP|1ZPHsOZQ!<JFAeK6q@~FyQ(9AH;@QA*8tb6pX2x;wrFNPuG
zJ4e1-j4$sCqa{HICB98g?ji<7{3OPa+j_Jr);liJKIk@j()DC^rBGUPlyU6PzeB+1
zgsoI_TWWgxIr$8TB6|hiefYq`!lGs*zrsqLO5R)_AN8zlP%ZXC@X4!FJ@xKn&DXQ7
zrZ|J|o+k$6jwhN=*&7P9jaT9hmX2QsRfZ>q@SJVM2}Fzs%Ga_P%WX%CELNpsOKX^X
z2s4B41%Z;D=F5&dcY0|1_|%vaiZIDRO7^8Mbv)!SNI304VKJ4*W1kD4A&b_`!8rS8
zWu<_VUH=0meE^qpP6G#bsf;G54Pm`xuB}^RUbV1)0_FvJ3P0F(jV3*3#K-P!f2;mh
zLQ2Zcnio>TmE~oWv3a*rt(=ln$sqIs&eP7xY<bjs&5Rbn9zrk1=l3m~>TExmRm*gH
ze>Uc7T_OqQHVgsG%t3!wYXQ`}5`tdsKb>GTb30XeRu&2O7q$)%r9n?CJI7p*Z;Q_i
z4FtGKc9@|SCZ&BBPUCJy`wTdaFJCrf_RD*tBJKiP18;d}i`g1)uy}!*Y4+Zxdk3TP
z|Ga*~<m9vqFpP~=E1=0`|3^iPM@qi={`8(<_F(Sp4_RnwL9<%acj41%@qnN=ZF&Y3
zxU=)?H*X$PR|g?B$d|fYl6lE!k|oN4eS(}N`Ms=uY(c?SBxpgh_N{_>>$u%gRF{3x
zRQYeZ`{4({6O=1+4yhqC)W&8A>mYO#5LC`>NF4X#JKnI0o-%qpTiPwC8E|gg=M=vJ
z<>}3&Z+()D+y}tx9*~zunFlsS{6la90FM*ryE^mryv3PIe#5%*W|?jH`#Goay9)Y+
zRe3TTQPpr%e~elc<feXnv41vMjZy-d7^l|MdF;f$_P6Jhmr1r%k0)eYjY@g*W&ar-
zukCD)pWSs2=H069mHI<yt?I=So}C{=ipjM`09%1zy0ORj@CGB((nOh7fMAg}0lX*h
zr9(L$xY&%lXG4x|<{5aZYUF!}{jY@7n4?$i?l51s-eg72dU2@bhNowrx$MJ_J7nVs
z(%t@Pi`Yt*%rLM<U+uAfo;z1zY!k~bVn545AA6xWtSvq&Dr!T?qJ3LxvGLHtF*&~|
zs_U09f1h!7HZnAfx_UKec{V##sjD>fMUlkY5Jz|qM(USGqyn(hZzPUE0*r!rUuf`;
zSR6dUO+cB7u%*shioHlQSGt5F4D)asRl9{~G8EOpZh>4?M=W=LV<Dvr5DWr?4<`|O
z>E`aP0_38WWu%s6_VepOGFC<cs2$dJbn&nRe<-l_*nTea6h<ruJ3ELQmmxVY%Jn@g
z^pDQRGu)shAr=Kl%wJ^)3z9cIDIy{Q-z7FAcQ-c#8<$mAqh}k0Co4@Knig<{het-%
z*VKSv4BdSZGT5D4ig!ZUjF}Dyt9z5+^WCkxl1Ofp*|e{@mnRi&pHkP-I)#{nrn=iW
zR@&M$O|^K}%vTJuZY#tG#7YhcVF?H6kBI|YHn6871_oQMLhgp24ZNuG^y?b0fd)?S
zqg?s3%K@U9A_0SKCn?)QUpg}LDVW@I0g8t(J>c&r&+$C!CAo#aznI67b&ysp1v+0{
zX=&#Z2cvVqf!thHmE5?eYrO0)9Hb%6Spn_KqyBvZgnS-kOp9qBg>Xv4H;JF|@!r8f
zl@^Yz<GNdWU!6T@wtH!)fUN(-KFIcSskc>7!XLEjpJ;hC0T&PcX4SQ|my)+$Tt0tU
z&*y6U@jK<ah#7^8jdu03lv~BKM@%n0V-kG77U~w*SI3f+QTNihIHF~bkAmPf4t#6E
z|LLFq-a>XEh`g^J*!oYM+JfxTqQ(5V=QKfCZGi>}F`F~(-peg_Z2Kv!bj$W$*mK`c
zR}Q)#Ad1tXRR+R#-z2vbmTkP9f1Md=^tU3a0ILx4FQVODIfpy9E4`u$h7M`NuiqR@
zhSv@)mlSweh*@9BsVtGF=eF^;_i(Q{YNxCSJO0*GdZA%>@*`xt*rh-xe?#)wf0YN|
z?Qf=~ot5XE8_0EDLE;y55gP;kR{Ki&YZ>A|<#I))EI8Ii)W4ZCygY8&c5kYDWe3~2
z?2-~?FT39MI!LaO$&C=cnhVora5lrA6!Sz%TGq?kJ5$1zJmm#oBo9Z&uLC{|6^ULK
zUY#>C2XPqz*&mjFOLKD_MpEnsii<%Ir|J`{wEv*7kl88->B`FylV%1vJGKd^g`gP^
zddmRV16wOl^n_3H5>)wwK6iA4J*kj6aQly4qiQTbbfL>b$4GC5xp*rq6)K2B!7XHS
z^;-@9rrS#48s}-r)b#W=tnC2Mf4?(DKm>2|f~^&EU*dvnvyP&YE*ste9PaCg^unC$
zJ7q4rWsEQDUR39?45s!kW%0n|z2teH?Wtwg+Gk!yg6#9rac2&Cm9e^?%^JqDlajQW
zvkU&!<3hWmEvsB_g09ZYv{6?lvk!jkSP{u|Aw$|JUf%V{H~!t5vkiSvf&s{A>-KN6
zkFOoSI{)fH*$TUqUK&=ahu~5Mf0Qh<gJ&X=k6yQ``W@!&Il&a3W4+&ixPFP~hJIi=
zs+vkDn3XnM^#<@-boE$lwf!^NC6F4bo8e1K95`iOMh_KO_RjcEt?hb*L_5E6q=pSe
zglP>&$lde)o-BUJq=FN@8K)i+!_rLZUOqVG)V5udnu1vX6Gutpt8w&fO9WMz7h|VG
zJGg#vWF!Aq?~2@d=0{-%$R9mPxr6oTPH6oHT!fG%Sh>|%TC<O$WGap(_(IcgN{7$T
zmY9y<T|=@vOUXAKxCTLB${jnoKIQ$c`Tna;%*W`7;Jq}$VrSA7z%SruBfAeH{M5t*
z)CI!htp>@{Brn-z12_c$wY$5xK<jmFoYbY$&-v&yL+I$W>(^!cmRw=HN#A{9pLT;c
zBQ0%>_YD70eq4$_o_0B<t~k0bwic3jng@Ks^B=b|t?-Bx0ys(gkd>43!0{yyR7S^+
zjn2#n2ng8VDz__-MNaLfPashAHuzB6^16oO$bW#Q*KdVYd4Ot(&Bd9MbX9d}fI1ix
z;KosjrvTtMPP}A>-Cxeu0vEdy8w*gO2hwU2lj{Lr{@;v2wRv+=aj|GS)oUEl`!|tf
z3;-8Ph>GgRhyC6@*G0O!TS$^~y^+YKP5)~9Y`H6;?o63ni-VK?P$({Opv6#t+^Kd(
z84{`ikcWURv}1h!pPd3%2x=MLY&H9ibZ#=zsh(+K??EM94OmwZ$zf)eTr1}8iE
zWleMLn{}vQvbi5MjuC!nM;!`2K$yD`8;`!O8SyuVW^8L@Kg;XvR?`i1@_41tW(SO2
z#eaDg2NCvHrbv5NSJ4YvrAAEzGG@lVew8XRO_~+;o{CAg85<C|h9VOlo;{}2v8?ZQ
z&{sf<Lsll65WwMPI#CFj%By)_t7kDngoLbYz{@j3OivZ<FfQC_VJ9stO;m2WSKRUE
zgwaVx`+YK1LJAb_(-M8;uenJ^eUoARY!{lo#<gYF_nqgqxfN2x7+Xnf+s$12rQ7hb
zz0K*OoQA5BoSc^K?pg6#g@0q+Up6S+K;D}Fc!0z%eSL>xS%Z}A!z!!7r|Z&%PMxA%
zUqnXHbNi=zA}T88Q9uXO3>-;jf!%3ULjEjsda0TSIiV%?LE)NNROJhZIGt3&YQ+eE
zKQWtGq9vZ&hx-IQT{Z7;yl~?1xvd=ET4IFEC&udgXSrw($Sudo3q;?l_8jlx!?ZXt
zk-8DBz;x2hVZw=KCb&Qn(y!<o%!63edwx6@Pszy?BmkU93!rK(Tq7G5JU#axLR<*O
zh8_A@`{ID(_4kAVPZCs@cpE4nLTE22Xm+|~#jb^+P0X@V=g^^X)X+hHhwfp*=jQ}V
z6vFuNgZP3<BoH2s(Ml^oT?5uC7(&)8KF+l&=?g&V&2vKXC8vJ*^xvHmMOQcW^KRHA
z1mHQwpeLNv$;H`*vlULh|KIlTJ{R<JR#tP(Hq1zq)6+;9ZB$`CtdG29B!%B27Yn@d
zxb#6ni?y0ai(*)PkGSO5y1r4y%m7+CI^Q^gS`7{F&{Y9#bn)<Ts^~90>YS*#gAJA(
zY3um7l13(b(cGGoKX8SRx!UwV20FK-=E?SBS0!X+XhhU{;DWe6Xhwn4K-^f%-`{^X
zFHgqpgA5En&j{I@K#QJs+Cwvq<Q$;GSRJRP1~}UMw{OUG9^HNoVyfG)-BR4&pHi7h
zqWp)jyR8P-M+INRm?#pIs)u$9P%G2jKb10K#3s+%HQm%!P4T~z7JDpVR=Q9)BbHUe
zbMVi|r#&*&wqwGdqN$TK8y0S1OKOe2qVudHPK38MQs8TL`4*eo)WNmeALn%U(CPT>
z{SToP7Zek_UtV4zha=`0JOGU=!Vd*7)xLl8=J}qIN6YN<zB}|}tAy$qPKy0P9J!&X
z>8Xl-<h*nU*g;HFKpGP+6A|^J(d%f{+{&jBUeNq&k2Qz=52jC+S3mo^)?TjEIPKzs
zXs|;{CAfq_Lp59-^-j|PK#=2q6vL@?t0jG^=(8~6DWFhcq7p&7Hp+V3KTSY1AYW_$
zc8k9vz37#IwL(%xAZ5b`UMag10Tq>HyDkq=0<`%BKmm&%bZi7>aWotvE3;k4SjGT;
z<I0B*<Gd#d0<Zi&%Oj?&Wnljn1So_RXgkC~fGmkp=$Ez$35~)aK{Pf~yx7&OAwbT0
zyP)M4&oTPvu!c08dciR_m};>ElRxN56f&r&#xsuF=EP;3t*pYY3rowrw`L#1XT(Q!
zeZ~N*!5}W|atew07#WgNQlPy#{H5~$(GgOhBc!Bobb)H`>F!3V17ZJmZD)tn<q_4+
znPW{vcs^P4Cu_Rc25BzKJtF(|ft-5t{{7!~#^4PzGI&)oOR*M0Qks(!Iv79>J0_-T
zD{Jd6fB$9P%p-}CyDBCLTqZ5!^Kq39=?4iAM}Ib<7zOOpgC1_!3?mu16VuaAn3(Kf
zr$Y`o$fLk_#`mgkV8gblJHK04IO2+Kp2$5=ATTaeR?mFWkl1|^1Q>gS7t@1XP9HEK
z*)&lTJ9qBHSAO(ZdGkSS4_%crJg9-_{qTCEf^*zVT`#|=I`-<RKd%Mb9-N8+nG>{l
za{YW1p$(b83D;i!o%*>A9DgN;pO19YiOgqpwuUgz4e&D9#3aj!P771o_AAz~MjSfK
zB}t^0Vk%BvF`vA0_q<G13lJMq)5W6=+x|OH?U2`pNV_Kj5gLMH)T=y<`e$CXJ64Rp
zOy9t_J-ReRT2_s$?!6iC@%Lhr*|32~H6bph3Um+>yJyzJ@A(pa4=F3GEjGU>m+T_D
zFPHj|aqa-u>VZ^Ua_l=uR=ANjM|-tn{^w5xZ0XUh@+*>`{)82Hsjw4)D@QTawl}Kc
z7P#4wgM&_@{&}l6Ya&DG2$*lJeeO?&EjUEzTsZ)2|Mq_b%@v$oxB*YfWjJiv>W3;Y
zERuM}D6_UPACQ|$PlKF{jg__B;aMUe8$))~X3>x;MHlIbqx|k`Fxz5h^#0}kSP_T<
z{%d*8zVrUe4fh&f+S)Ft)qEiR71L}eu0`1$=%u_z@ra0nlozlYwh+lHHus`yR<`I1
zx9GpSQRcM!17*#Yf!UY)hmeh}_2~)x_KZC2e0;Z%ethT7ugfaZ|2HKBiNw;|q2?M|
zBn%i>7>&RDTAcm83j4gNmcIAodut0C!m;kbRXZbzcj^}?@OIgV2jju|RCfXD9-z^M
z^X43|UOIyimb#FF!Q?iiZw1chtRSSZq_mUv+OF$+iD076zRLrwLx0E3a_HwIUQ@$3
zqHy!x7A+%K#Fgo%A5q_&S3=hSUR90kYkMQfzLF{u%+#D59F|vBy5Ly?hT18C()HJ`
z1v^4Q{a+#c_X-UY{rB(RF{&>fI0sl6^Q$V2U81p*q@$z;YhVpI0pB%J`(DjISAK6l
z!o^TU7;N9Uxk*VoKpN{B+yrx9Isd+j_=kBNJq2nTVFt`ev-h_PS!-yvw%$Ln=YA;c
z&sjO$)1}9Q?1`tlJ6e<pl6|;zX4s3z%qe8ephJTK{;5&7tp=dL4$Twe^S^Om;g-Z^
z3Pn1467W3!{Q2h3y<V>Dn)-UqEn5b#O@8O*rEQVeTPC9P>d6Z`0u&>jLN?~Vu#Cug
z48p#^NNPBUCr~>f#!63O<wUoPzJUQEBqfo^eS7*Q*k*`9u<d{Q?pdK8WPkl9cyn8`
z2jUl>OF-2Fw^_E~L=WeU3qBSMLoQYnm8RvFR95X-*mr?U=0Ye9d`%!C<T5&5dNhBx
zCRZpWrwJvp8XE_m@C<bZ=L(C^QQhbh2tOwn3icN_8xmv?_s<xtJF_S80Xe1;-4m6X
z$ZwF5sWFG!#;)dU-xrEs7ij6}Prx5&QZ5#qgBWf6;50s(A<w#H%fs{j`xo^(y(?I`
zVlc_h{q|>!yT1$i><ZlY2r0(a7{~QmZ&~agNVc&QsC^4HH#W{KECh+Z*O*B9z|`~p
zJ^4iLM~ebYhRrc%rpyb+LSr_C86TS(8QrC>rxyd4qqa6R;j-O)Dr_jK#?=U;G4d1<
z0ltI2pL|2n1&&Und#I}&Q_;(oES2S->?*1u(F)745xg`++J~}_0+By}sv`77Qp|A6
zg+{U5Vvc2jbS>dsy95+3#ujM3*fl!8+t8E<u43Y?zv>pafWhVA!-vYKcJY*l@bn>0
zf>qtrXTDXhc894^GBRG+y;wA^(gm9_3Vy(LRaDup)071+8koMvQxKlN!O8>6z~7{=
z+QSB)_Wp^1BQn5euzIiS9i#o<!TR-8=FIf8-@cO)K_=rfNtb>_vEAksp)2{$5~Z-W
zQ}1=p``?izn;h$GUvsgW*uB5F<I7`E58yo3$M*h{9FNR|>g+&X<3<7tP7khx%Yu+3
zV@E}d2sp_k-gV#Y*AZg`pnfB|1=md0g9;-Y$Oyy1mL2-J9E9ZtqKz35BxC_ol5+YD
zL01EWMKY@_Z`6HBbr`ZQqO1sL$rw0STXD-)YkW`lT<bN6x-%PlBm=33C|+n=)6^`;
zeZVxO>p2zU&6nK?Kq7Rsd6^sImavl2>Lu&nv2J}!0t@@eh_v?BaX2TY(#c3IB;G%H
z(}k@jG#@!~O35BI>15(HKni>8O<QfR((3rhDQ+VD_H8DTrFivI6Pow{)?0!|X=OW+
zs{>ceb9O@DfZEcI6`nGwwwRnHq|lr~3}ND)?e^j3@Wy6l0z!B{J@wz~4C#>Pf8qkD
zYWD1TgDg4#Mz3Gn-j2+_d^pg7pKq&gPyg9UP5qtj9W7SLr6}BFH&e&p0b97No&u_q
zwY4u_ky{Grwou|yGgW@1%)FlZ6{02Ak5vXgfB(i{Ba|>P|IB>uUd{K01d(DGw)=cG
z)vrl5Q);j#&I8MpOaDGLhLRg`b~=FjXJ2ehoR>6wPf;2qLm;ic$+56B<kk4DUAqvZ
z55yH$H;AjkpV;&urqbQP7I1*EsNmwmb6;kk?U*PWs~D3<NF^F%u69t6JUrHc=^8W7
zt)1k)qqv2EU}Ad1bVd1>7rR!8b)zp(#zLwm_WMau!ky<0Ev`;5R9;ZCu-J&qa9Ak8
zSpaD`aBFb80FdE41zGSG5BRTvYe7Pq8?K+AJ!WQ1(c?D%rv)&BC%GTb|M>S+)ukVb
z_Y3{j1(v6GgtKn@rc6m`A{U)=mv+yYTP7dRXca9fxV)?SkdH*&cr(S~3d@I<$E{8e
z&_?U`pXj%}yoGkJ;GbU|kIO<A17~Ii@4uQCR~k=}PE<*ofA(kXQj;XIRA*24F_4^_
zpU_dgi+V9VMf+x;^;?&!u8Y?)Q~aQooAh;E1}=$V2#3$_whi4z8@jv;j|sw64Sjs%
zwQQ#(^!cba2V8$YvTE;;G6xXoHz;$66B|~^4#n}vp8fn3M0(wYirU)WfPQ*7hPr!t
zWTd3-VSoDQV)^7bZS5BrvcG#%LLm(36t{WC&6^eo0Y~1{l(xuqWd$V9$l%SWx`^f?
zbLwR3g5S1jHZ!(t+(dUuNp9{u48JoU9`1d3H?W06-m+O!;LD<wMUFz+vTu1>M*5c|
z&#_H!bSa@)92^|PZKJB%_Ext?_Fy`dw_gKCcmHm|5=v)b2tTJ3OAEGESS+n`Snyn6
zGzJ=m9~87~v{*{rJXU!9QP<zHhYHMRv7<r6Qel2;?*PVXL?wZS!2hrF<;%l@nj2ry
zwx}ja1w#9{I_2=!uN(P?qbcU-X6gU-#?sb{k^17^!}8vufelyBU1e2x;O$18K$*G9
zKwyh#)KDLQ01sf-)``)d9k;Y-oeOw*tv8jk|9bNgBv{@(%E6wV>zSFa-nY~%D+UHA
zZ4K;NUg3FAqw|!8_;-t-uhT#QjRX$pde}f>TMwUHW3RJRw&qW`;&KI%4-4eQL3+pl
zfq~xiU9U4n3J8FB<XltF=s~)Hmg=}o@AZ$LyViSXY~f%YM>P;rgul@>$8t-fqvh%$
zk$_v>dvDC@k_X0<YZ*b>w4nQl(<U4CPMBrHtQ+9&zj18G;oal}b(o}G_z>9A&X@HZ
zytvM<qGj&Yc>2woR5Uc}^&U@b_|D<49JC<ILOJ(J3fvS{>&n<qqGCi3U73&nxQ3(U
z2^zbfv&D2Cv6r=94Sh=cIM>B0Lr<o*^H4pP8()^l8OX>WmjQ;pJ~TkB&O)ianvK62
zUa@lv6Gq9@@l7$zj<!*JyqzOsQDt5%R}xI_c0PTYD(_`C^dT&u@ZK3i_EWB|N>G5)
z(9qy|<<xgUVJT474u%jvRhuRn_v~ycFn((T&(iU`VrQ$a_6F4&V4prt$e$?Wt{UI-
zvk2Y6Ru&e!69io|R&oO_FusdRMS8(Tc^6aUW-cy~loywjtgVvr>R7+qfdGU+CnY&K
z{@n2)c^)+vnw)ba1V1`CLEN>AZLjVbqrGaT+og29RH(l!dRBo}W~sD?aQdFPJt7W3
zWg}BF<%Qen(_ABT0*4mwEYI=Z+dA^&2Oe)Rb~<S(DYzp%5x0QCGH3xn#i5S1`?!kh
zHl?1%SI4-k*69i}e8=MUL)wHOdPspyGSjer|ATo!D}I)|vhfJhj(Wttbi~J`i_ic+
zg>?yv7v#3rUDOETV$jAX@$x$C#c0jfe<Rc}hdF`r3RO)4rIj1QgNOp^>$*EQNWTRg
zQq+x&=MgFv@R+U)p7*o0pB}!I?63YM79Co;`G}GlUVI3*CyHgoQvQIIwe31{yYrT4
z**02=eO`OFK(P;G{HBaEn^ktm*Kgl4kmYu=pCf@u(YWtsh&ui-ku#*X;@9>{;Mn;g
zSd;>4?kBEP>~Ag-H<J7%UNZk!VyVo1P^AoO3i1L>M?rqeLI(1cR-gOcU&F<hQGPJr
z(gU2>u-st+?e9NOZER%D$hb4yE{|iZ$fYl6v#v0Ky<woy56=IW0|RSMZZ(^WBE@kA
zA022fWDS6(IQLny^YRwoxzii)Iu#?1rVyNY;6ztwj?g`&lL+1Rw-?_x@~l)bte_ii
z3kS!~6LU|rz6BP!G&gB@s!-Q{Nv-A_`b!`Gs_E$bp0Xvb=Tq6aSB~0*<x=rjdP;LA
zSUd-M0^B@ksoyE+DIY7PI!oJns<~+V)vHaui+h3@vm19MGti~Ot$)C7{sY7ba99WZ
z3P#r3-S+?zf#iyJj4i4tHxr+)k2nkWxmJaRQ8a#`;(Kahed)^$)H3<|QoCPNKC4A`
zGQJ~jhs4cJB$9oF$@F^F-{e^CRzHCecb-K0?4qKNjc227-yS^S(THE9eQXY}7^DnP
zMB?+I4yN<nzE}6Q1P{@<acm%GGoNaWcP9N-u$}W^c%WX-m0%&i<%*tHO&U>44(A7y
zpJXUp_5^eUN#>73^@+hx#@=NJ=hGHGAv^)b|M+;oRX+7#cl^(lDv%d%`RL;hk(TZb
ze&;4u+2YJtfd=do72Uyh#ZaUHkNoxB#xgPryL{m)FDWf8#ik}MzD{$*d(*$O`LCdf
zDGPF$CRQs@^8wjH!?I~<<B}zEg2z66jTo{UZ|RZ~rW0=9%YGTE6S{A_Z0)!?PmWgj
z*NZEf*K~Hkz-0-^Qr_XD9{#F^23|v(zD>=9w7f-DjrN9v13gv=Iuq^=XJXX4I~j=J
zmyTPxxE4M<ajXE4Q-i_X>BbHEM-d$Kb(W`Hr~Qv=97GeHY|$SdB>G`TdGiK4vNR?l
zQ@^qw6*s^TVPdK6A6c%qDmn3)4r4T5(;grl-zO&Ik#(o!LD4zc)I&aCSmIYbjLtvc
zB#0Ur(qS9Ync{ioKzc60;H`dE@JIeL-~d);W>sEe+V8>wf*^Ze*?ad0s@}6xC?4rM
zejZ}BAk$`PgG@pM^fYwI%gf7PBJXT@Mt^VQ0CBmF=<bUSJ)=~jX}bN0)~NbUp$gAo
zxkt6}D~?=~f@f$#m4+S2nEg8WshswH(mUAGdI%jK*t>!jUjBPjgRJ!R88Tm?vA2fW
z_|gL3>2hD@ED^3LK_ynHo8OvDzP2FN7-YTHyJPliU3S5H_GyUzCR^OMkvE8!ZC-CG
z<LIMpY$!@g&B!=u`q5vOEKM|ZYv{AK3f*sv9lgC-CK`n%Ok5Jp&>iDPYO~x<F1wHY
z()xvM4>kQg$&Vf25H(kOrBiP&!3CpdTU+?;4To6!lPBDh7pZ3Rq%wShWmWB7nPvn=
zJryP3f=<-UkLeg&uAeQ7j1c^$&pHu*{PO6<Js%W+_?H0=!*`7_AIW+Rd3oU_5r-e8
zPEhF`WS=t}pxwuzy->`bWE9<BFL*py{joh-o0=W63K@x$C0>CP@AX@IY<(;@xyOY+
zb9hg8-PB)yfxO~lVnbxVc@Ue_0R(ZJ0n~sWLy^2=&RSX#XZW~co?yzr;B>#J=$xnL
z^1yHDjSCNVCnqd3pyITI5{ioU5&;1L{8x9eUFqI6V6b>}LnyMp8hGF;-P{$OPrB`K
zJH9;%rI)<6d!zJcaPYoimKJR}`^5rtxlNJB)x)mjX`J%)Z3n+sQrvUhz2@Bb5r}Nw
z9G3WUx2Y$l9Gbb1kjKc8#-5sxno65h$6CPa!(h01Q~mAmJ|#r{6k5H=FDlx~%iHN#
zk&YZj%6&qcKpNpw9WSwjXg;sb0u&qWC+HnifB-_GwsYrKtUv(Ku>HHrosbm;O$=Y$
z&Xr|1Y1cZ_2PDJUbC>nw!~IX85K8$OG8K;AR+8*_QndZu&}6>6!}S&<yn}VcHo2h9
z$(iCc)(*ShyWZaF>S~wrG7&D-lE>*GTyiYZhqkrRFiRO7vldT!wnAMEFA|6rfEi(E
z`~ZTyGs)S}QQOD_00Uk;M2&gD7mV+&y<Hn2Shy+hRpJeP<{-6_IVHX@6Laj%-f3Kx
zf46Pu3{VI(NiCSHO_FMM3D?-PGwA?yX!y6nYs=&65>4|_p<-9vpB0`*jUk{B2e4ZP
zU7Gv%2W*0aA|)va%8&~80R@_KZ8Juy#fev0w~`zkFGBgU{^mwodpp8B5IEh%7nU!`
z<v?#sBUCZFDC;>*vbUfAl41jHuA%dTc-l!Zn`(Efp}+ycT)%Un<Ax75?Ybkwm;=a=
zKymTik=@#d843Lic`x`hoBY}V0>T$8Epq9bSl`W@TE3V^hmHvnT$7KV)5;p$D$G?#
ziy8`hG|(kfQ8s%5A|L^U^Ex||-1^GU2DkGm#gKSd|9oNK^5$X{a^cx2o#Kqp$5j*8
zhTRq9GJ;Lwjl#;j5BJ*rx-L|#82`qSlA%5Ss+!TY=d&M<>xfY%J-hzmOFRcHeRzy)
z+6OOHKJPbKCU(!S??&i(wuo+_$(vSU0+`5cB@0t}JSLYr#t>r@%U|N&$p61*zuI&D
zt3kG*ylo3*oel|@A~>+dn81_BO@<j4j{$nq@e~4Df*FKz7D7wB@K>JL`Ih0f0=*6a
z>c))k#2Tv9{66$bVDA;C!S<9C61>n5tS<%3f?)JUEI{@R+QmaQcDq0Is`XvkbNWnk
zC&9RnMURXWyEVS_$J|?+bBdvIxn{wLC^9j<(9pE|vdJEt(G#W=EKvMx<lMk~!NuOd
zXX`>9xHmCo+l`Rc5&xCRJ4cS(IuHQr=W0|`A4@c|<D#-sxSdZ)n2rX@1lynwLDVf=
zXADmTegr3-nt5#CM!TGM?h7vg2Llqz;Y?o11nE;`R+9K4Z@;Rsv6OOBjI&K};bSam
zERk;y)L(n?g%i@i3)38Hou#Ab7esR~nnZr+y(I7fT_Jyl;2-(KNxJ!%Ap`z!tbb3S
zRKrtE!fK147L@tEU7YT9N&7&CHlE+W7;j2<3=UeOTmcyoRaMpvK9CXGy*hCw$A(D0
zOj<YC$Sp&>o3nEv_rE_=5Iz11_;dJJH)-sc^xmPIpBLHaPkS$gv&j=;1ysAjyuxXJ
ziqqcj8&tj@%51|x!2i9q5)HT=p!t#HzEx_m_HDWBZbIffg57+22Zv9Gyy3~aQ3>6R
zsKtY}XU`@95`0onslGq|1q2jqkO9y5dqFTk8nB@UN)woSL1TWA_Haa*<m3AhTr*VE
zRQYUI&&^G8drp@vY`Y&o7k8WS^-iD1UF=&J<FKvc^I}?bzbIc@)e+iY81!_Dxi>>E
zo7cYbju(*%BdgS>FQ#AnePHavoz#XcbFV!2Zh5=b{HD2!iuN}zd}SCY^G!_^#V*A4
z_Vhqsz+}}E@i*`D*#lvZ4Mo`T7eiGcZpiZtsDqrrm<}`q|51lprGMX8+t7`Y5;vH{
zPn{CxBhYa3)l(jq8iCOp@mI)$M^1gunlKI{K&Mtn2}=~#yH`{cp^*(ZAMr2{pjcX3
z`rj&((0O^q?8syBtA_1kU&hCO?Q0yKo(Av}xT@mFFk{pleDSN%xXF|2Vf)TW+RIm(
zUwi7gYs(3!8kt`(jjmqqx<I<{()=RJLvkcg-}OtF|69O?R<b8kRssjJ4I%VPxqrro
zL`D7aynCs0OXMAvo9}*Z4E$@0y|8`|K1%%E^?_k@C+Kfe%;u>*8=HeF{{Zh1R6IkD
zo6Oe|!D!{|NqkT!8<j}=X!|^*n&Mcrk%>tqOp>OPPZ5n&XreHv7tl)bprP~=f(Roa
zffbqRI0t_q(p^&0C@kbau0$7wLYj}|m5SGJ5aWlC=;y3BgahndTuowd6vJz9T^QM6
z93XHVE_yFkYm<|(D$eop@^(RfgKl+nE<;}uqDFFZI&N%C0Xa&{U;Z_eg%UN3^D&IK
z3ay@T;_tWtg#`J0|L@S=p7ac}+9Vqjz<OS$J7(R9$Fu+bnX{E6x@}_Ct0#J2AdWLM
zGO`247OZ8<{whh&0DS<A#%UxcW72Cg9Z_>qEO;BU{@j!6Dtr}Wlzspskj#y&e%w9(
zCh7<!{-cE^&mE-jr8`LB7UBaS@HH8|W|=6{FzI8dVU;x~lW6luCpq`jrsUweXmV@c
z`|+A(xQ)G}YS}N=j1t4w!FVOY!zl@Y&SS>$XS*<V*^N|_B)HhM3hB1E-|XGKq9wh*
zxsJQfhdO0Ua)6om^xf7zbWh+P#J5`j6S#Tv+4y|FYgKNpJvy$DfHU=QA&3iM+(%|0
zkPC#uPDh7U%LptBP7nyo;2nYGZO4hI|E-c&n1X@I-L=yK^{|k12Ei)`-h2Py!x`JC
z{T+7K7{l!}9Y@^L7I5q1b;ntD?BUFl`CapKYYWMCQY_!D7#qR<5I{k~8vzW*SvYR%
ztKk<B%5R?XJKF!zA|&3l#u-@gRmsRoybuWNO0D9Pyks88vYiJ1*FZgu6Eq+Mpg_9g
z+cG}q17$DRb~u@FI$-^P19+n%F33X<d%clSLdhnvpiljQ5suE`Nz=3K$8|bA>M%4T
zw~&a?2;r35VSk>3G*eu}$-%J%T=32o)3N>b&a~Q0<Vhh5Y#7jWRXQ0x{pgG11e5L7
z4gA;BvBGQyWrR3zY=(sYJFTYEkB&rjk}ET)X=-Ysn=V8w@RC3)^~Ly`Un939m5;LU
ze<1~PA1Mww!y|K!Qml=%cDNXrF@_OPspox1RT(!0vr^7EjSLTW17<yax(|b#<++ld
ziI;w?cdp;qj0bd`1(Ov}tH0_0bkCn21^7*0${6ZataxA+99B&RVQKmLGj5xmu@1Jj
z8%*2Q{qC6e5#o-+3qMHBM20Q!@5ax*qC9Iv*2kdp+DB0l^d(_;Gz?=XzNz>BEj6H!
z4yO<|2Zx+pTNGzzS99|)n(Y6el^Uo4nJex0=)l6%3Hz~WpK;o*j=P(JUoYxI(1){%
zEcV--tf!RX6VACM2ffhw7ojn?^wDE_np9J<@_0;{Y+H4MOH8)dy=9h|ClKu8NBq(5
z^XYMLu+T8`V}eP@f$aMZC}dpl*k@oSUHhTFfn97MaJ-nN<kI)C)BW~WX{1G<pO~;P
zCS?C#1Kv1%H#d6unD)*urH4elZ2hP@4By_yqp7={XU*aM(E2M^Uj;&~_Y<nD^wDwe
z@TMOBe$1%VxJ{(5<{gem6^IH+zNOXRk*}6b8N66gmt(U>Zs+oXY{U9y_dBB(&y2T2
z@&U-s<c5_u&KD?&@17xWS^o5C*tqQRWkY8XkP<|eHLdnYwc^l1Ou^%3ClAtxi)~My
zye5;t&<!<br5)u${4`mxd345EAXU!&7IW8LI(ndQ5+EeZEq?cxxW0V}&Yfxgz(rJ=
zFVC8m$;`ep{es65(2riqnQMDj0wO1^7Gm`aP0&Bd*t}m4A5|uRZ?%ReWUG<c)s9-O
z@z)Ps2F)FkN5>-{;B!HEI-2>rX!n1Qm@Uw6;IfG9sdLN4ou<Dt*BkAOOp(S&xBY6J
zy0zss@7q<0*Y$e~1!H2`<<Q;&-e%2qzuLxbvfczq>w|vRI*voIp_hI&$3_F{vHU2N
z$4tj<Evv`rJ$A*)moIZ*aX`N8LQ_D(+1k}~k4K;)$s}C2`DbiP*)AyX+tdIV*{Bsb
zQF+=Zs1(}SBf7ddxrgp$v^kls-JZ4(Cg7gy-m-pO_X|od`BeiMn)~Tg;;-$!W)gKT
zEe(NBFEO*gIEc(I^w4D+g2Y(){Ts=8cOAbHsP;gMX$5>pS2U&aGpo-$5a(ilpqp*D
zq(fEWtiizvWC)w=`JB7jndIVo&hHnC&`>`#(`Pv$UZu1CJnKyKwi~$({6wAjlJ6x*
zebL2$L*<T0v{<;#adlwCYpT3)|4zct<s{>M<hc|i0&#uFN^SXa_Pf5<0^h{xB`(!=
zMjNr_y0IE`CHx{%VZaY=nF>5=V#r89^9YCw(g}7gixVekC@J;R<qQrTa>C|<+D=3e
zsRf#TA0Mx`*4kC0w<B?~^_{@QGyxTPvS>TBGd%$x)6o$rHgu>Sn-O+5Zgvhz+d*^r
zwA}mL`;9$6GvOLT!;0TbWAFaRQe<nXW!0}pugHhCQfIz`2^F~yd@BAvm^h9ymu=HA
zX#Un0P#Hb^P3c--&}m*KCse246T-v-CKo5%`}So!l>&zEjft*{dzTN;VXT3L94S=<
z8$F)J>fzj{?L}KKAuZkg!n~au?o-i%<uQEhObf*-SJjv#P3sE~O^qPFUI8Y*J(+
zw$qNj3ca5Jn@SF_C!BSKg@<XHp+ad|Tl$Em7UI;RNYSCQf`M^inbPr(DE4lD%Dy}*
zM094Vt~VVY{Re3NbwatA_y5P!cgJJB|L@=SUL|`ggp5M6M<S^xA=xb<TglEyA#%!2
zR)oq(WY16up^&mtS!HBo`(5`rpYP9K&ZEb{{eHj3^Lah5@p}ONqR-396bN{s0G{UO
z=F)|2#ldhO3Y<}f3GYA0?@!Gyn&@U|9{D7WF!KHTOECJj=k!rep<PAGI3W`Q@viE{
z-!t&|Jbv`3Y**`O97oURE>8VD1-nPG(%hhtL0VE2_rZd`>z-&P;YH@*?rwZ;qHb@5
z&x7ZZ1r7CT#~(W;&z%Dc28I(EG03#tf-=gV_m^)~iH!h&u_yfB7U;@Bu>PCiQSlWx
z6-sstWFrm>g=xX@{lsuAwxXE)!nx#Vk(cs<tXbNm%L`6tvv;I)Xys_szhQAwz@y2;
zbi3y9-_ZLer$X2S7nhdMA>kFBl{C?ge3{2^#K(cMXI?#}V_3pfp5!^G;);-+=hoE@
zH;pd<$P+P0gf}Y~4>(Nm)&Bmy-v1wQ@S|W-BK#a1({{n&;OMbqWJTUuvlHxBPY|wI
zQO2}FsF#zqp8$Lmc0vp1cBnmKIDKL^!F8HBiGtu6Xm|Dan+xDA=EEBRQWAtu>!K_I
zx-pCi2ATlebb!)Q+ON60(^6BL)%eKk<Q)<@ev(@$nK@z?mfZAG^}DfoG&c3=uJ(H_
zsTD5SJPy}XNK~RPxh{;m55={BKzg6-B&%F%0AIjfTBT%r7NnfRQxT;pBQ$c@3NHTP
zW3!DLs|U)BZ)N>08W)G_xAJx8;V~RY_~M1}3P@3dR}%B3PBnMePY9ML2f?-zXFG_4
zyMIRVT@vmu`TIuqklvecv@Dy4y7TUBmfj*6v1KCcVyJn=^fH)|3`c@{MYXTch&t83
zhpMQZiwmkZ?d``p+b7Xx+yLJWWl#JOGp_Ell42Fqtuw;e)FrjA^St^!DCRqf&FEXv
zw2k7vlm8y76;N^#U3uIq9%kCK+|&yO3N>51-tp#*J-ksmI#g-L4=F37T381!8{6`2
zSn5R$5K&?9zJrTv;Gh{rkd^XMRf1rw9>$F9EG!x3_ZT#+tpkUuZvX{0zKW9ufQFr+
zVkuiwr6rfnXeq&vwRht-Zm}p{<+63pr!c`?=u}5BC9>x2D|D-hprOxlLQTUz@|1Y%
zKbz%?ERvP-ERIf1-DJ!WqqFM4kK$jUQLMUlH`CS0E5`GL2wBF~$}%OFxy_Z(xYIJ-
zySNM<vz?!nhwnch00w!?Y<)pv!G(j)@vD-&(LsXzaps7O=QQo(OUB|{bDs}=JsFN6
zBJK(r8<-bEB&q(j(d@cB16l1l!y*U4K%}Rq=K!oJ5AW{nJmpb2#!|nab^ENv2bvPl
z2MiA^X3wu~p#Q~@h}5(qyi}YD!op3%!`teIME-{^h(grS{ggHnymxJFvPZ3YYj%dN
zCECvk*hcw;#MIP5B#>ZW6wlw7=QZLf@yK*IxWYQ5KvVHLy~)Y2l3m|vcmF*9ch_UK
z1>$HFFimn&(iMAq$Wil6H?NYBk=@iVv?|OY7xH(_;6T;oUs8(3MmnL5o!m>O&iGcp
zT^lzLL6Ep+xCsXi9Do61yTq)1-?UfD+9h=3V7(JChQ>qzYiO?yLza5W;;2lQ?gcj5
zr^=BB_a{LgO^shuIp{9!`PQfO<`J$`BhgqrlwcSsEnr6dOevT@UifvDqrqX3-VJI3
zl2vjdFMP=6wf?|$Ybbm03E{CJJ){rj$y{99AM`$`FP6~+uXtpV*=S`jclr`zVqQS9
z)vvMfM~(i`_(i7cnq~rQe&HX54AyvP_n`2GiGZ_%!y1*<zpd>CxS`6g!0?V}>}G!E
zLt%1+aL+23w@yf~?g~H%7;U^PDw^2Z0nh~MoULi=Z8#Eux`ZYR8359HGrma^31*T*
zsAp|$1@GTvcJV%xt{u^@a>4x^28<@~%YaR~&jo$`2xIZo{V#PFk6m2W+i=}U@##1y
zS3eh45y+0Oo}T-y&}XZ3k|@676X`T9y~`Q=D!6#=+~b7w+u`Z$W~@;xQa1bVnMa*A
zvbVp9`8Ar8$$7B2?1~lNXdjoo|D6592T~U*)YPQ~)A}k?=Lk0U7)U9#L+-pkwVU0`
zqSEt@l#TmO!Lr)CpHdwvq(O`{Dt(R3wEMJJ{{XB;C=_-p+9ZO=$wz)D*H$jK^QSg;
zgvC*i)&CzC;Deu9`#%zMgA5kYRFTcJ3=G)^JCfxkR8{@AUG%RjFXmU3Z;Q-4*3#Xn
z7Txc|r>-7q77-K_gmQL!=E<@hj`|pWb+}(FE-c`~TcJ1utnk-oKe2<w{Af4?S<wLj
zwfVF{I!1s`2}+MQYaeTqs>Hm=m9(z)0|0bqbz|iCiYfKRL**=sR^bmHDG4c7ty6ia
zAxZR6e8ErCMt<|7>)*gqs@~pO&)41?_YMPbu;OC%E`aFEOfA*&ZS1o{!FMfsLV4BG
zJX1Z>s6^!>oBOJjc5nx3qT@1?oY|$qt>kHc^yu3z-zhR1-C50yP=L1%j2G?fUI5EM
zIVHMhk7d+vo|g0x8^#E&8#O9uGv(#I0Ak`FXT9XsT8~z`SDD}VLC`oU1QVr>AMVI5
zVE3nT3Gb+`|E_hxox}!MQ@)%c?yZQ-QxOle+)RxkW->iUY+Td!j~ksO0M?(2*_Yf5
z!rnB$KLZ|6Dv;|NDtx?zEU}2zG28|gx;sa?eG8*{dtZ}FKfFPHhaRvZ_L!^3>A!o9
z5T9uvFL0W|>OT>NVqcfohSENNavOL@?Li7Jv?o7ysHF`b%w{3FFXP<D(RSw!jgHaw
z=;F`*;`3;l$=<uJo|jCC3TmMCYz-DDHxu4ZcXA<8Qc`jvv=t>Tly(%FHRoh|#AsK~
zy!oDqh61lRD@$8|`TO`dMx2ht%(X1>w^UoE?d_`BJ5)jq7>ij?(z?pCnC@WSrq_}M
z(M)~y`_41#(}27&Z>P{q-Ki5-d8zt3k0gV|`b$TK&vE2_ZY<`KehUiAl8xjp<i2)8
zW>I`m;h*i9Zxb#&u)Dp_;+ZecZ(9Y0M>n--EU&(dz`!Fw!c5Y{#%2UX<YgC^LZ59a
zg!00c+DNF5CuZQ%gHK}tN(!mX?W{5!QDA{FaqbW0bHegSX!BTjG^BS#bJqiXxiY~m
z&a#Ko59ivxmp=;qXeajIBj#)f!&?4^yxBAU^px6p#>)pmu6qtYo6n!mYHMfVQP$QD
z!8kwdEOprb;D)GXJNPhTa*ZdlwimU4?7n^NQ6V-b^)4v><*>GF{#!RXF7{eAL@&6c
z>z+g|a8v+8pWJXN9*N?Bw$RXOa7B@w-EPiN@>`nMk+%1WMe-D{7%x$dsLbxu32!)|
zlTn>1zI%75nmN*bfOmO87!1uc=E0a15U%W*^JpQI@R>fcxV<DQc)zKy@1UBR8s;2m
z%=Ra}@9zGm!N#K2@2n(S;C`ygDIpCm1B=_59?C5-{3oe4jKR1B&+m^!wjE~+{bX0<
z-%~ub8@tkTVSE3|x6=}1^PnICEJG0TkbUaVb^3q+rrGxTI+1VBZEj!GlP0n<U|Esh
z`@RcpD}GXhql~&?yHb%T#mbflK4iS)*~Sa|_eOAmpixlZjPgw<bvKa)le>$k002J~
z-CF(?-V}6N9R&qf?!EiSYT3EB>1RoL(4fmw?u#Lz*YBD@OMtl#5S0AYH|n(iP7l)}
zAwNUereky}PY$-8dB!I=X^(jwAKpg~i|_)G`lhCkXPZLAkqKpiRm}jbmS!V#8fvaz
zk(v8scX(Xr&>`%L)#l&nTTK(DxMV#&U$W6%Ru4Me`A^URU7YiOqsIXBq7Ba$i?Awg
zpHjc26>cixZQH{w(~URuB~Zs)R%E@g_i($ngmCqKdefaUNL#9~=op)a`U1%4Z5Ck_
zRo@3KPaF?8EG2z-{ZljJ@IBFAkJNeJ?CSU8BwVWt>+>ym%yo$R$#B!+Z^Ix#Q?Yp7
z*V9?Dmsx+kH*9WQ5>?#h*iT_{vN@*@4RlSP>mCyQY<Em8@@v0AS_>zPGC=o_pFR8a
z;djAr5NuH4!YgS?jX3qfAq(m6#=f(E&bjwp!%+d4B*_3&ZR{5gL<s`XnN3-LIJMJM
zjFnZVMt~C2b$E#&stGODS!-+9@XFd9PNV(56Wlrp1s>iZoCMQ4p9IQcNVN{wGT_Ez
zo<r1Mq|&Qv9bGl$owEt`_XI=MJN8572{Lai;3%*uh)5?;{J6NitPyMR9Rq{sI&1?3
z%4$Dz&KAoYuD4NnZ-RJ3dVVz=wv+GxPI!C4<Oucr&0@ZH+@K`v;AHa)c_nJMEY_cr
zna=`jT!qwbFL(~l!!tgQYQb+VEyccgiuZ`17;bZ$oPxkai<>Pbgo$07q;MXG(Q*yO
z(qyl`cO6Ppro473*QLef?d=Ydpw)$8Pj~mJCGqT2H#XP201b5*I|bA@R_&!yZiEDt
zH{k)OVvEbmGgg)#0ED!);W<uQQ@OeyH$5b=_B>#m`hmUy1OaEBJ<7}l-ThW5+_JwT
zPlkZT0$k@BlQ9xxYmee^iT-;30LO}riK*v4ak|+}@;v&MHRgz_mdoz*4JSu>8~*jN
z0<ZP&f2eT<0+TOay40=y^}}AlnjOVe9;K87wKQuhD>aM~x4ZW2Al|Hjx>{PKL7YvW
zX646hJ_-<@BpVwbhfV(I;hJ?*UEOfK-QQdl{YA9^bzu2`&d?=2Fio;DLs{;{fQAVB
z%2Tyvaff75`qpF4J%l1}QpzucpfJH;)q5rznX`X26$t4W8O5%njqG2elae@t9{w5n
z;z&*y`TG0Y=}4nNYSClW83obl31m5IqeuQh`lz(9@R;2*gEQmgL6l_E+Vc$t1P+^9
z{P9hOOzJvsPNb=!n|6V&dunnrZ|Dr5H7HX-eZd!ao{ZsR=zZ}oWg}aFJ;_K(?d<Fz
zVhYs~3~xdk4Wcx?<&W**>^0ZP@Z6cezo+0jV)Obo3o4s2_X<qfA2SR6uj+^bHOi7A
zmNDoq_dzL`WT2fo#-x!Kn!-DDgTjgtu+6=gkXJ^{v(G-K7Zwgr8?x$vN9lx=R@yK-
z%&VZ8J#U!!{mbXe2cL7iI_370#r>Vz>R3lEed?Pbkd)9o!00W>pv-Q+n*Z~sCsyJs
z5{t=pF(~>l>CP_IdM6nuG|&~&hmdf8Rl>RJ=CuTD5BzKRhPh<h=%r}|68L_kKPST<
z4a}K<@xe0sFCH~N#j0nrRnHu&(0G8?wq~-Q+z_C#m6h|w&={*T9+h#0BYldj#(nS>
z1AW4CxD+;kFsRt`^B|@3>qZ-IWerJfCqAhbEy=K|Dn!69s|iIm|3UA!w3NM_w=6pZ
zzZ&pti5_C!=eCZ?9Vyp1$$jXD*fUB@E`GQ4Mjt&lYR7O)doJ1VH5oBN0wxHk0sbLy
zV9BKg<6Dp?kqfzbFo?~zE@aXYEd@HG-2`H3vhfM?EE1XNK(~Yn5&~eUjLUM<dtiZt
z?4<u(J$gQe0qVl;fUD+|)zQSEi<vQ0Nky_P0_S9MXQ&!n*<GjW$L8^o@kp*g7tVe3
z-QP>OG>NJmI_5NrN*sf~&zbAe5eAgkYC23<2#ddc2HVgf0RZq&J-XWPtf1M7u=tWh
z<HJyC*rWB;s?55BPTvK->ID}U&mSE2+sVlZVGcZ3B^g+hcG!-|6n*h8_0mY8h|sdK
z8p7`+VDFuTF%708i>;bQ50FzdkVE0m$<2)j(&>vwx~=9i{tlezOu{GKvqL`h1&BTz
z^tZypb<sYcg#k1vP7(J%D305(l!VBCp?e(o=dCD?QK4A-N`A%y!t@O@RPt6!ts5@)
zth&9?C=vCYb?2=RdbVdz^I?9`zQ&WE2#VxkpUf6jyN}JS-ta4>CgiUWaHav(6Jm?J
z90T2v56`==gf43#?*s3q0Md)a=^x^W4hz${bSZ~Y`-bbDoa=3W@@l;QO9WqCPA
zeQcHYMX|5HeR+!V7|!7o957@fmWrs<5bg1a4UB>dZ|;GQ-hIQ%AE+8h;>6&tSJTm&
zw(ksCjk92LWJ-A7-|r1@1S_b$vvd2WPv5nO%$69YoJjtBRai1OyrQC{G(USb^^gZK
z|3fItLpZ!CN#4-}A!nHJ3JVL<J^eCyFA+BioNh2wL{Wq7^y%mK&7B+CE-3=H)ej&N
z3b@b21hv3^x|HFG`5x}$8LvYO2(Iq#(7Zt0H)ZuSf%uHK+$T=F*|oIEnC=+&;ds#&
zlNTfY_1f&v@zz)U<{$b<>U82UOTvu?uW;lIeqd0X{Mk+A>{a`&k$Lt+^EVos{YtMs
zh~^-Gn2pVI|Kz#hvG=~NFDH~N^;t~#DT1y)(X2Y>-Q2`S$Xr_uFcpV)W={->H1#S_
z=(~KXO0Z^`4?th~?2$T!_aWrkI_X_Z-RT=fs?oRfH@hJ{d@m|%hy{>DD#=V;YkjL&
zl{?BrPT*Hchift?mB?DI^I`Zn<9NcX4fCVF!;He4Rs5BQg=}RwJd@s8VfK({kb^x3
zdJ8o5bEBJ*D!c!iKx_p=u?!zg>_8CCaH<{_iVYL2JvXpxGm~@T+nj#X;B8d&C_PJm
z^a6dw(}(-rr+sS_1lQu0&S{x>kB5O#r9C79g8aZTnwx)srV_Na%XlEUe@+~oIyk&I
zT1ZxqwGG&N?E_zzG(l1X<;&$by?xHOb74P}Si+q$T>p?TVXsx7VXUC0PUXythz>NI
zUpGsEw4)paW{VSgCv6xP{mP-HZss2hZ=~+y{Q3py0@}YChm@YfLM$J$vQ1_Wp5-Tm
zHWs|!#6<u!5}8{{mx*4Q_y!b8SeU@m0v54AR{dkL48`!j)wn)Kpf$WopFJ}W0$(T*
zr{c=``cu+NtU4%#oQG>`aAu)G&B|&*?fm(3QiBZvx|o!ME>?iwU}Op>KIoS3zXhMe
zQ=f+jpJ{HK?H?F`vA6uegKZb~V-jID=)TBja(q(t*K0CX<EHoTqfVGhOGpTlfOkp#
zO?scA;tHN!!dS6gM6&(yqYVGh*4xMcX5r`Nb_DH~nfZftrJXe}27nLfExbyadJnS5
zaM05RUjrA+zt0U66X*-3rYc>A)nfHtcL&7?)Ax(z9=V~arW_uAXl2sUzBt`jD4T-_
z>rV(HG9t0<NBo0$N|%=REOTz57B^Qe-+mLMb?0cU*^+*Y1gAW;f{0jdOQ(?ot>~k>
zN31BY&7fwV^A${cH5`!A_CxJ?F3&5L!kAlyJBbidNM^lbW9{_H1xA8mBAJHI(Yn^7
z5+sDmhr)yki)gjG?V)y(D{ML{<)3ZGwW3@}2zfjQ?-x(9L!Ax}(a*!f!&ruGZO5(-
z?i$#(og9iplMYcCI&^z`Ju2O*tSoDXCL7!ou-Y;ZDS<x}40e}p5-S;EOG}2Aggf{2
z8O`_a-jT}q?(UzOlI%~heW=WLLEPQL1I54^Bdnq!=?&=MIB>YV&GMP-RgT8Ak!!Rw
zmo>z-ZAR=XEWl3Qch_dP^Fj0QE^n(qxP+?uuNj{vb2({z;GehkFOKS|(!<vW@C6o0
zOh8LcNs%0RU1`aD-2MAKy8QkhYrIS_gJ_Oqry#xQ5E(C`<u}(MVY7ek<qpRf!B^D|
zKs;evIZ-7Z8SwIFZ(f}@AzR+Ei9poKp}qFZvh(MC^WEOrIcNP~AYA%UVbxd_7>Z%>
z;oOUih<KpC2UZy}G9wGCgVX#+bal_2JzE2uwT6ofc_+Cd(yBvZBKJFl9~-gmVT+t3
z^sASBC;J!CeR3Mi%E0X{3{5{t%YTvn=FD~CS=b#u!plgv5w?JG8Ujf6nWs5$UH}i@
z-rmYQOnk80#{fm**z_?u_2<VPzvUw_KK_S(P!G~n>@XBZ$jc-#V+<j`Ex>Unqw3hJ
zFdDjg^?BiG(<=dBWSS}Sf>zOc9a92YP%>~LFSW8S*sfKVcper}c&K5_rluO=GSpIf
z_`yfm(i!gFfjJBYNTB6mq_Kpcw5Z6)DxR3Oc}vlYj-&lkLk%kNlw}=Fe?t1*8QZm<
zJ^WgsW+2(z<=gMeKp66weqMVuZ5;_|gRp=H#02lt6Gy&XxG;W=GK56z@33(hb+H=j
zR)I`6L`p*YS-uUf3w%`yRVUFg%I|Oh(na*W5pQ~<Y1stzL!$$IvCc|Mhj=7Gjw6>v
zL!63;tmC*KVA4XgQaNz>#NV?RpCA_E8sY}Z%9g=O1QC6EAv_-I6y6%@K8v{(6-h&I
zYE;G*g1|;AD$^=zdJSY{*HBCD*@Ga&z0wPhi1TpbI;P1daG>stCOec%lkA!4c*v89
z-3w_pboG6C!wF2hx93Db_`Z7;DX%nibXg_u*5dsPGp=`?%twePNM>f&RImK~c8Ea0
z0chp>TOI`%b{O<{5tMuUp8$tSgQe)-C!Zl07_9K1s<+{e;-VKJo6OeR*I3Y|x36XX
zy6kJV1og%TSK;%5iUY2zQ(i}4X&sS?o#aSSG?9Ag7MozeF-iiFln#gsQ65I(aSLSg
zGjgCn=N&euxn_A}qvR(LUw`1qgF8F0v%xL{fsiWbZ4e)K`|oZHYmYNjA7UG;NzV#H
zVCe?4j>-@k9lW(()fY>4`45ySLj)7rjuN79KAt4HN}<MqkT^1IG{p9C<Ui)$<Ap1j
zha5*I2@I6(5+CNP({zB-)z#HmNU=vYqqy3ABMCSB$~3fI8)!F0jwgG5FOaLFeQI^{
ziK^0LOi5A`1WoI^scpwbE=69G<@+(Rwi8y2-Z0w7#bV8KJhtrz+$+fEmcA8CB<L53
z{)}oYbaSt;Q1c*XESO;NrJHXl<hPw-FXxEVRKReMKusQu?CWkaO6VJ0hE#mYt~dq@
zoU|_)aSEGtPCpX#@>|Epjv1(fzT50pX)-l+n@~`p3d+1^dCP<aQ=Nk@1p_Znmo6?Y
z_7+-q{&2^Qj$(zA9s`DUU;-GSAb!k8Tz{=ixZF%Tl7cWDJ^DJC&vu_PFPnc1BMm88
zD+-|=?#+!292h56>Vw@ZIbX2b5k?|cEj`?`aR!a*lM<p_Z`Mg9(m!Sup2=H5h!vDy
z{Qiq9_uo2Ujbh-4MN*}kfdJ41$+O)xO9PRZLSWDjE~TofDik09C*dCM*eA7?K<#**
zV;Xa15M!|l&?eqk^@&2K0G5qVtQfL-c9H&Ht$|QPVu^v~UXh0}D5or-wWkU=&&QeU
z(=*?vO7aOBB2+>D4(EySB$%q;LE{|g``F+(C2o2mE9U+wausPw%}$ZS4g-DHD&uI0
z6Ama(vs;N4BiKd2-u(-Sl@R6_UA?b|niEy?9ethnOn4hMJ^lQ5rPWfBS^CM)O-E~A
zCE)LPKRgV2)_kh4;-;Es)$@ltj}`yq;QBHGmc_(`Sgc;a+N5aqsftyv>I0=7^g6cv
z8WtPOPZ`H9=@XSnNV**B_>$08x3xA6j@wyI+n#9*_QuZ_O|o-Lk2X?z(@&^0CJK5>
zaLlIFe<Gj%I~-UCBw_d}-}1)C)Sg2=q*~JY{}uqZ)vZ9Sv$xOH5J;5ev6h;6r+QMl
zp-MgTC0i0uk#uGm4q?mrrmNt-FmcJ*PkhLLyVE;8;?@XWIfh(0T5L}`I^V>7-id?f
z`^cqvZai@uS~4fF#k4lgBAsh?W=0M6%jSZe@SFo^t$el-x7ZB=^?XC2o6Y{B-^Ujj
zvKd}9Gzx5Z^M8@@be8=X_DcAH{)Gpb<>iTtw~FOlSH}uyMVI#Vvq#^(?CO7d_Hc)R
zRCfgW8=&)m0<;1y$1#EK2{KOC(FfaXICiYgXrk1hq~~yjHw=o0Cvp2R2cj8>^H{bC
zW+$Z#X+A8%e()cG*qfPRY>@~d)7qAj@mq1FqN0Lr*DrzSXTi0ME6>FW!*5EFQeIE}
z*1BH)4<VY7@%d}-!h+vN!@!<GGe*3Al)R?U9RmeFMz*th#EIr6bIc1PBm@A1Lo0&G
zdF@Is2sp^7UxN4SOsOF@s2DRf3{+x-uStc*2ov70mM>NFjlu97fY0VXvyb$4+sSaC
z+CW(WAc{5&^ED%DYwKgjEd6=@rSG6>(<-ILDslpVK$yw#Dw~|r+1-%ELqHm?NeOql
zNAr$_byZU>H3B&~dG$hvvZq|++Y3kuCT3x$Ot1LJBKBeQjpbK;owK|T^zCIx>f74r
zg7WhArnDE>!>ez3LV{i+<Mplksgw3cd|XR!=>>mvzXBUN6O&#bU9)3jJ^s}eQgyDQ
zq#u;mC_wW)@x1w2>dL&@)-F;HGV&XwxMV5@Qp~Hp-2j$qsi|L}!^E#nf`heN-*rym
z&r{e3ys~SiB>>h3(Eo_cr!Ro2{({Y4A(i(>e0-FE)}`FV%LT^ret_eZT1c4S1AU%q
z27+&bCkSGa41VhhFUrNf&11m!=g*a3IUh>R@P@78&Se9o3;JOFU!EHc=LfIvmiJhH
z)ra59$CBb$au}L^c;DXLuf#-UV$<bKPJgqOk?&F#+<|uQCfC4@kBn?Pc1fFf8NN=t
zkN?0-3m7XdT-+j{NE(Zm$~MHE^tr%GTBOiIIPlfr2>Kt;q^*mnqguxh75e5A*FsA^
z|GoC+R5|bd^B2={QsgMJO3E;aYj+vxcc_--Dx|Pky)a=fxV4v6Kgwg)=*4g=%k`dn
z)?v5l>0bsv-z!EdMAM<(lFTpo57F75KXAj%)wKwQT<Aej=-}obs)^qW?3Ze*ueSkp
z7q=-deltjP!``rf-Ul<G%tnVBo>CaT7m~VD(0dBTgXbV8E8F$uOG?wIA?uIPQ5M7{
zS_{@PlLbiVJI*Vzn-GWVH(X=Mj|G5Db$-@PtMf$!6e6P$bh2VnQjq2XKwRJndYWc8
z?;W*Jf5Ez1l|)})G-<!8>R@MQq05+599B6lQTVhuI10U{y6-n)bJLt8-ys>DT>@D_
z0IhP*cp6JsLs{ZPNZY)aq}0OV;^TGIYI+}M9++8RjFo*XfoNFO8qEt5BT^*$`Vv$u
zi0T+LHM<}<1tv@V@6bY5w-px!yJ=|(muJpNufNSYuT_awNJv`CUp9o}2%6?NFT2YU
z^ku(m4puN%Noj{PgQvYSrQPJ}D|o#`M7$F-lHo8Em-S`O^yvCXNl6hgWg%x`ZcbEN
zgItF94c>bMW$4=9H*ddiM~|_5_|*7FN3n><h0;!wnT<TdB#5U#^3b8rot>TVqL(KI
z@Pfw@a<#}eHkrFv0TB)mK3*V^rXsA2iikyEHu+n533SByg@rairca%t-_*a=dwBbG
zs@&W;+lv=VL84TWLXh}bGqZB19Y+@T`jcqr?&QoC`__QQul*7Xe*gaY(T4d*7bz_T
z&pyK;@DyzwgH@-b65j@C-3<SXpU$b~S3YoZy!nBC_Nly=uU;KgP}owh-YASFug7^^
zau1Rnc4=HOiko~<OTM$8dPp94KcqVE|Nh3K+R@3N)3LdE?4hBdaN&_4ve*`atz(J(
z`ZwvD?U!&k7Mc|UC@n-8T3)^~cxCF#@hbDNKC_Q=VOv{UgO~kl^s>7#NY%fXYhOP;
zUc9g$D#ov;i{wTe7$O=6JzuMb+~4yv+9)vemdV3Fdcu0V&D+p|GAjeh4NIdp+5x+Q
zReVB&&A1Xr?zUFEDQwAB<cX>OZ2zk=czyET8yO(;@LrPTpoaxHJggzH_s=(2-|il`
zKO+LcXD-GUKYs!;X&7HP<Yche671Gr!JJ~<`hN7ya}C=t8MHBCVz-;^;QaKT#x&kk
zemDE5n-t;pZZla<NfCm|yOuBxdauTx2R}ai_>MZsg4IL<JgR;4Zs$E>@}&(ZTj({<
zb9YDV!jT0t3lm=$r}@E1jW}hb90k>#|F*{U>iw*d!Sg+2dOsA)xX9K#Sr2xFo81cC
z;InKGNYKiF$^Yy5u~yiG$I({A@_nZ@ULdw+z8L)DYM-9|dqYw9e;CPE6e+lEAs>V*
zCb)qhRA4xm_2PqISYJ@bk?K!(!AQQG)nHeQfQij5yWNW(zQC87AO}2u?|5H9zlx+f
zc?JjmPmI#1w}>8S4i4C+Tz`#k9OBcWX{j6yzt~?wJ=>{OM3tXnXto!LwTtufoESEH
zdM=i@A3e%&gkk2{SF5+J5!&fu4=rO%Z+UsK_IzrQQ#bw-dsZ9*LjD6ej$HS#;~v4U
z#d}sx9^+D#cQ->Qf>mRin^!r&B?JrN>~9+=WZ_rZeQ^gM$48GIVZXu!2^6Y(K=0r%
z2Z4`;1p-{H>4K_i)((jL6uwUvkxBF+j*HXj+x=|Uh#Mbh0y=`vIRd0=`kv-d?<o(Z
z#0^3aARIlcY0OH6UjVvF9{>CffH)KG?AvmW$$_Z{vH=Vvy;<MEdLn*`iu{IM>mHTo
z69bKQjcp_`*!&+4x7L(fI2Y3D5s#YrzU;g_Op=%u&sE;b9JvI(GTND6zt@voNN^iF
zDO44l_1^!&BhoPHjpX4=w$HeuYeQC^5Dd*2Dl#R?KMj`X6J%_jT5BtGardRA7oXH6
zQ9k{3DER!}`7u?w(kva=M_X80UV5LX*=MuL@B8QbQ7{a`1ZM(<vSLdk<pVaEORfn;
zp7R9}ug}VtAqYYobS7{w0>1?gC?zjmkdrq2@Rp<}4f@7K;F#&2t=O<+jwK<qi8h&?
zY!6z>Soy&MG9TEy16FihU0o=U$@cla;<29&GNeDvxbd;?Ny7zeKM!6M-_ijGE0tkb
z1U*-&e6b+w0-0?tT^^6o+5T%J;Bw$@xf>HR%boFmmGt*YQ_Y7!pZxqbAVy^RdWxrp
zj*3q2qS({$Q#81HAdFlz-M*&)y^&OcFIc#7;q#lvqdX}<{yz1XjU*^7jenDM@EAf7
zGcrao8Qv48Kg@C0W$V+f*IYlNJot(HKm~Jmu&>e0AXI4!XF6@5P-OyRpee`X=uwgj
z?$t^!boaW)b&ikv>;UBu?wMyMgWM~4>gn`3>}7(+{oh0nkr66O^{;Qo)NDsPP6ceY
zZnqw7r1qWNN1dx!Ut`Gf%Is-xz89ixO9xE8I9Q&U<|{3AD4nS>=b_MKeN7=QaO@g&
z3NtAU&FArTU7-UjFA6)?|2|z>s@}fXdE-&+$CN{z9+sWc4px!D4L0<AD&@tVhaldB
z;uNI$r`q}}zpaWBnFvs3Wr&3?wS*42zMxD9e;VT^%2_u^LMVPY*fh-@v^~y+UgOsG
zjSuU$iRZJosb2Oejg;Yx`<D`oyX?-FT>FzwBvu^Vz2i^tEfn0|>Kt5L4zv@;zPL~g
z3Xl=7;8B8BL*CLkj{e5S+k0_#c)0si)vpO~HFw+z&6M$%xx^HfKo+{=aJJ2Cn)kgs
zM%)cQZZ_D==}b+Zl&Lswdn22xZkQry==W>iV34{kC=WBpT;+TxyTAU=eEEG+O%n9J
z2QXWzllSmV5x?zXy;oLEjSv60FVmWf(#P!JuKTZq)zoTNKMwX0zt}bG?7rc*2bSL^
zT=)DNn#13hBDL;gYHb;2NH9xE&pNQb9A}z->ZCFr56RqWd2hC~4g<l)_UlaCzT?E9
zUB+gL<IT1oL*;JTF<~AOU45oiMlp9{RX;otZY&c3s|7PIqUGkfNB8hhh|fj0yt1;^
zXDJ_W1E76Y9n>N38yZGYn4>SOxJXO%B(CvUN`~z~h_*7#Wc&M+gPjnoqrN-a>~)uO
z%1L1zeszFW&&zmT>?Xn8LL1iDOMmXNf=->B7_GX2u7Nmu9qdA7uc?<H$pV3aUCQuD
zm#HA->eNyTww8&>yP*cjO{1REIlPba@*bV~F!RLQh(MSr>*v0Ct`l~aGT8Jc=Lb@(
z5mpPb{0RYOvt*l7>MIrLRuK|Ru^r8&tt(Cs6)Jlz&NA%SPZIRDzCnj$yE4M|AXC(A
zn8*Ce8o52!TZ-JgzSKkPDU^h5ua>%;fz|C_ZKwVv0b7oK`v&4dq_=qSv!zJByHR$8
z<9DS9dO!5`lIs{@u$ycxlAMEp?6kCkm(0WmxAMxi<THYYfwj1Cay)&SY+1u9{RjD9
zaPWYbhWk}(YpXR<k%<xw(GviFRlTNIb!<<1pAOR&CVS5p5j!YrD^adOpr)aLDXf(T
z<)drV4)JSwhPIz*e$)Qq<MkYV63%OJ)zIRu*Laa=wU^n%isf$h`o_j@vq$RYuAN~X
zu016b-bBLOedg~_ZLN%g#>I=-9ed8A*x^(0cEvdp{zc|G$Fp|A$XTnZK8LT_9y*o_
zmQz0`RoW5Nc4a1imol9ptNtn!yXjBH>Nng8_Vj^Uy3l#a9q;7IA2Vlb=~vpx|GOS8
z=Kr;=C}*r&QQf_M{kXRF5j2zd8W`~L^)1A8q^MYq!H<Fh_}KByYuvKI=;^`6*$wlH
zmoFdWT)|jD%CfS0RZv|*g0B8HpG>#>J462S!LA!psEUAI!Z8AE9ENnTPS~^KC<J&g
z;meD5r!oI|q<;FD&t3fQsPa@h6JB4oaUJg+Taa)SrlF@z;1^28eTUSSjrfxta>r+f
z>#PNs=@(mFj@fQ0314-lUh@mvpmnMYy4z#^{ubBwm5qaM;s{0d#-|sbb}cq2a@{rE
zb5Ejpl61M<MRjBk75h%W_yZCTw<vJ|K<NoHwDwEBH*Ubrcr%SPY5Te$aR4y13u`@u
zlA#jt?42sJ0i}6T2QJ;rpm^!$0kwC1_WJoN<A8-55Vkhih^yj%v(jpQG}UW=X9MB+
zdyHo4P?IOC)>k(MJ5CPze4yj)Y&}#>Usy6JUqAk~?6C?+8n$+*kqkt*zns<$l%_iN
z>tRUD^@i84cdMvWXJmkjJlb@1rHEgvs_DVqho>Ia#ys3FlVlL5A9t>I=DE*6Ryh~@
zP64O->-W1FNC@6qJk@uFufq}tgVQbkr`I<2Sx6nk8-f!hUMf0ou!&f8phHey;wn8t
zPb=bd`yxtTCC44`8-4TPgN%~WTA$ukrKu8?*V)45$EIVY58XZi99HhQD7(WK$5%q}
zf=}q_DVw0A7~ixfJ^xIh`P}>diJ3d!NiA-Ka)Jr?u$GBnSyi@k!ckaRnOg%`b1BtI
z!vHH<*6i$T@PaC-{_9+rXT^~N12p2Fe|7-90s#dv*D&ad$V5a2&XXTR$)mmWo@1f_
zB0%YU6*%y*y3oT(z2*A_3W88<u3IF2pokb=VjO59rb9DAMGyBA;7;iLHM6jAyMc-y
znextW1s|FXWjc8WP+a;QqD4cPv_Rbj_IJ_M&8FquP>lchamf5z|K)u@S$zz6%!7}9
zah2m*-DRdkIjAaV`b|@0dE?HnQ@^WioNq^aD7-N;qoJhmSG9m4^R!xT0a@0SuRhUd
zMAHp3&%Fw&TM`3bC}4Z@FK!<>=R-)M1hozI035Lwmd9@}-6Ia%XYZjH_*xej*y`o2
zY<D3h=eNFmZ)$UiN`KOM9~naKM@4t4bs?-##9G|y^9sPE5Xw(#a+kCv17Zh0D+z)k
zU>%TAF}l4{RTM~at2(+=??V3#UfnF9KjzOFr|)hqr1X*<=e=F-8OpC=fP{gA{SOqv
z800Cvf@>(m9j9-o4B?Rf&v)2MR?|y1<4P3b1Vz*QUcd|Ei}b`tEl)R>n*2Mb!$d!)
zi@k#lZ{avYplWyxg_*&FK8@ocZ!dsS`qa9PO*M76)_HXJjEM<&AaxfnT~ZjH0Jw!D
zX>iTJnSZ!{u#{(2Xl@G7MxWJnd(5NZ3kt!_P}Oy5&_yb7N7V+*3vQILl5M2i%4QYX
zAQ(H4Q!c}av3XR_V6sqnaOs2fy?0#|C3Sc1L~9}Z46}$os~fvoN5-S-899cYPwtM?
zJwGbl@5usg^<YW!P2DWF^+QmN!g1!ydc=44irRqFpRN>}(bxA{{I!V)PCc|D1cA%H
zZ-fYI)J2OBv)7;H1>2uLkFgB+Q{X(p9|Tf^EtAD#ph`lXETF7>4g<;L<ZDwOufP_q
zrKK{`(~<9b8^!NO&%w3;ZTZU#5%)qWR+8d-ZpIpgjHpn9@9_=zT|Fhu2i)N3gnI?9
zAynsNtCiPQgPS$n1)X<;xEdR4gu75fL!&NWbIT-R2#jh%C{tgoQQsG;)`auRYG02v
z)x2b@f<r5O*6%XBbgMP7`mUX$k<MOA-IQtVHYvE}9pU^)=A!V^^2uY4e530zu>DcE
zIzaRnd3VJAdbwFv4qw+^JXRejX@M$$7do`%w0(_uc)eD>06skIc8C<|6_U_vtrHq%
zDVgaz#>ZkUX$eva{R>pP_kTU9%fiH})BZ@lZFrc!@SKH%RW`baSmMGapXdAVUJ#K4
zM~#e;gta(0=caYp^mev)GF`^uDw(HQI~gVIRR!s1g75YeP3=aq0HM5pqMB5UR!SlF
znU1ApYE8{1{Gy1w8HA}opp#^9>EgvtP}0L%1cY?9$UXNZj<^KJl4w<(U-e!&M5b|Z
z-_LFOiXGaw$OEAS0TG<oH(b1`3OkEU6k8{g<?_xntYL*=Mr*GWU;NpLi75tz-B+E0
z{vqJ8LSu_q^J6=s7(-L`i952yMFAzke0*u5E2QlQUt}*YLD`MnfoqVAG||OAiQzwe
z2TA%BAJkf?(^l<8DOa*i>dJ`iW*1oA^HC0AJTL5;Be2C?%fC|8jr8frIGT8EJMk<J
z5_F7C=NMe^y@NXzJ%R(RLd#_VH8O(J`yw|kk!6Y?H`URLF~Rx<8!R5TY(1Hs42%r#
z9B?bYPfq|fqol}waN=2d`bf)NZeW8#v1r&a>xL&5;ub!_Pzcv-C=-+Av91RW4|)k2
zz7n7Q>y~d{PePZBrbTaex3T8Sk`f?RFcomWe*M*p7g*h-FONMi=Y2Ca4~!`#E^ZGi
zErcf+SKu}L92s#1#RvKg`v?hp70k*ont)HtEbMf?aDS*SkJN9ubww%pk=z@%^&34!
zN0LJ;P$l4S3hwTXt2^JRG9mAKqO-7mT$hBHIQpD#1Wx+JcFjP5;cDY1dN$*R7A1~4
zEv;KnRIk@b95*_9mL@$Ve5R(UDzi|UuPzwOP|PmT7e_`OL*E4V-Tjw4c=EKK8&2IG
zJwr!Q|B0=sYP8U+-<_g3Pw(BQ8L#4&IcG(dNEmPcu|d*M&5e9g4XDlsN}(-s)??=}
zqn_?F()sM^R2y}^>jg3tV70f|$J@N+<+;%=g6i+`Z)kjQg+Et%#m&iiG`sufp}kNU
zVMq2>ocLT{FCZ!TE3oL<KH{2x6sw;NO+Ep#6Aw%Quy*97=}GGm6(SVtloEDU+l!~b
zIBR-5cNbZGg>;HZOlkMHBdh6oKpPm2T>XnO0}uY(=~u72$=4)}Ki$k}xM0&Ella0-
zh^^EPtn=-;CZ^=usruOvzn;!B2BpQv=XsT}DvZytOP&WzkSxv&`o8^VkCG!(?afO{
zS*u+jTuPWc!#w)DuN`VqyBv!<?FqQoB-xH-pX!p^+%%Tt`}9r4=&jib-2(>)2u*8i
zulm@Q22Nr+x(#Q%_VH~PF@X1uMi*I+pz@*X2H7KCWF?)cn%79;h$rnSS`r&@xps;e
z*n62XhL-@RyK~si<tEd5V-KI#j*TUYFVB1jjU{>RSZ_DRw?Q^8cl=fIhvLt_5H-rg
z(_cCC0}djfa^`b7<uc`2R1G3?;L8_fNZs87H(qMAwpK6E(*<ZgIgyHPcIc<0;D76R
zNFK`{q*lZ?!G0Ve!f54zXQR5oZHCEo&y6?O)zTK_>4sv-F7V(>g;nFRV_9NRG+JgZ
z{fQaRDB1Z11nJNXoqcfuTF9%Ni1DoidHU^Uv5Oi<yH#J_6+eH{@v+h0ziVzRTuLqc
z1J`hn`|-2t=ziX+AKt})gRu3j+3kxHUn>@1eL6r#=T`9*T^2AT4CGJ@W2n5H@VEdd
zwd|ffKi<>QJBoU^bStQIv><L1z0ya&bx>Rn@pRnjl+Dzg)}G0>ZQ-MzYyEL%U|+D$
z_XinPw5Es}Zv3q1=dV@O2Cf}3D?7fblo)1*&k6^LWhIWOS3^}3riXXiL4t(_&p#z*
zgHJ%B9-ZH~0S>2))rI7X&3B1|!V{@by<xb5jf9zRObio|Edf2WYlTIHh4cCI@SDrM
z5o>(*>?G6-oqmLWyCC&$vnMAq4B_E`;?Qs>;lRP*3fcTAfml6)r*jXtK}d5@;ekg#
z3H50wy{PIRjiVgJxE=;<SO2oHv(NSyXQ76DEK!?6A81MtV;`wM{;)dyyzGE2Y-Oww
zs1X}`?at2oZ(qLXJ~Kj0K|@ufe!NH6$7V)mMKR+<aH28K1|51ZOfL~MvKe#sZo7Qi
zZX~!btZwjGDVFEzxaX?TNr;XN?EHB9LGnIzi`O-Bek#n)Wx4s<hlQL)G>?xpF^Se*
zTzop;jfb}D&S5N;yDn4@^e;kIfAr{`@bGZNiQ>Y>A^L!5Z{gfij2#B&ZYS=XQ(~-e
zl8e>bJ?3LKypfX}eynxmy}zFat-3|yTeIIvD<GfYLcoWSmX<y#$#%}%9B$D#bP`iu
z6<p$AVR8HMZWkL_WQ)zRq2f7hab4s60o4)J)hcjiuq!T5Ghv*LU^2f(KJuq%S(4zl
zwL0#yT1qVOh*e&4i-HZT9Fi4m5S=9y`_j~G7ApsiEH;LT`w92g8a{LVkS|{*PvFbP
zePTwx@q&6R#p_<`N2YM0;z^-Rlww{Wj(@sxCE2RTrUBFQLY03^sEgc5gR3=-yklbq
z14lGP=;`TUZ}q`S$QJ@nkw}TB<WEnO^?w3}yGz34Wvben3okIvZEk7#<E_%p2G<yT
zai?5+XIEX@c~G<mg*!4uRNmp5e3~E>M;4Jekh2RGlE^CKm&!=9p8j*kxr}fxG4h>x
z|2aZXHqDx+6BpV#g2<xgC0X~jcL#x>T<H-(i0-oUAHckX_?SMHP12$@?Zdmj;cvzS
z8=N^MM1c@{)Z5pOVa^6qI$T@*YaBZW?2g90-vX4ndwLcY7V1`ira(Vye}wkmk^j%}
z@q>JA0HQ6N4<8Q2NE8{E5K5>!_DZG}E)dU>Z`J^O?DJz?E54$Qhr~Xev0si?wVI$I
z-a6+cmU}oPbMSyY+Zr70Bw~!md`lnY-{E@c@#fw==G6N&X#BxhH<$`fV@r3d%i2@c
z5gM+l@Gu-kSHSO<_@A;nh}?%q4Gw9!<AKVYX?H)(xW5Rlqiggz|1IVX=w?w-JRlx%
zpX`<TeZj>da)O-@$F&f6<SunbZ@(Oa`>tBmuuy~Da*jK5(9ggh^)A2qmW!p4Bpb?S
z+_OQM%pXaHqM2{cf8PaMvu=B99S15T={<-e!7x%<Obm9+MDweZ_T|OJUtL+@9hDLQ
z0MIe1o#<ER{}sQk&KbNzEuiv_5Fe75nwpyAr$=zUtp7}TmY<JOW=BY4Y&OS|&yVU1
zHIc=Jk&eWoT{rgZ!B|c2#0jfw94BAM3UgR7=CX_yviGy!G?#^UAk5?czN+OU9w2zc
zgP3yKUb-a0N{gBU`~?VR0HEM|@YdwyKXK9@Isa)7AW_t$B4l+^E#;2}4tToO*PnQ^
zuXRC1lJ|?yT6VELtCjm)>*-YlNT9s@?8mNS1QynC!1{00cspN&(wt2fGYneu5+qYr
zu38S31z#5%*C@|8i?pkm;d8dw5AB@8rOa`qZ`#`-0xEs=s*k?cKxxHq3kWj2R0xiz
zQR-?D@OR*KK{QQV{HEJ;>hb?f4cBcGF{x&|UgoPK`4u&RT0+`*L<8|cObiS)5XY${
zC|^;&)~;#F^n3ZS#j_1w0;@i*kGeocleWUqZtd5X>)%tWcZ3#`#Pc`vpUhU@T<n3C
zQT~&_z>vq;vz$RgyczeOsQ!9yw1*i0*k;T#9vkQWqS3TkDm=h_dB$8kJfKdi<nAnZ
z*0R{Z!4>3IBjYHhzoIuT#;@vQjPNkrB*5aaX|dQ%xt$)~x>{0XN2*n+)gSbAKbosr
z5X_(=0;L*AeT`4)>RD7d0=EP2{QBioYVHpQMffBv|7nQ(<a#6Z<Xbyb{ckCXUe%|c
zP>O!eX4iI6Ch-}~PLT_jE)9B9Cf|zL8AYFND5$`Y#&`I{-iN8FL{dtb35In)fRDBJ
zm(RsTZ!~B~zkZw<RXFvz<OwFmDe7UD?1<wGMEvCLyw-6=wZ4%<EgA<Hx_DU6uU2_Q
z$$Qjc+WGd!pZ2t%!9UK0Dvd7JM{MqV8P2L=-*_nNLCqs+o6c0G=Fn`ICyPBmjDh!9
zyM|REec(V(6C-<VV}wi;?Q1H38By|5yWQhYAE^hT$#lVlfPha9D-f()YHDg%H#gg2
z^UFf+iVtxs4A%Om<V<q0L=Wo(9NMt7?RpmHZOX(GO)A!c$>p#`Y2E6D6*w7#*l?dp
zj)IrFcnL<|ku>+-UbruE{N0;327A*xzqZ~?0n~(foH#QZ+ck8qb?1`*`F9Tldp`kw
z%@>0-BFta@^X0=kDJeM+-UK=mnA&&cYrvCi8+Bz1wHtlIcG<AU>^hscJmbDw#Tn7Z
z6wO99$n<vq1E8*KK*#6-03)~qVbEI|t3VqsGBHAkqmBF2h|3&C{sRML)Dn5d`6xV$
z#8{;`?+%VmjEB$H$f$CZ+_JM0vx*Za(X&DnmzfDT9${L=IDKKN&_xr@c7EF6JwwBj
ztdZ%^Cx^tu^2IQ^MP_i|UtTc3;~*My)wes<Rh4zEfsGKh!&i82;VMo>qL1NKS$dKC
zpRxYX<!;z@B`I3?2IsQ(Z;CSNY8o<uo|K$p?e^p3i>@x3=y-zRnedu}ML%}f+f0j2
z{2+s-dvLz>v};=!Y7+oNN}|V+>3~6Pq;A9EzHMPbc$PrC9lXr&pel8%t^f5!9TJ3x
z!#N;`brL6}T;?;Mr|(E=CI}?7A$5xTmGU`32koB73^m@aC&B=5ECcJmQv3V6iRx6t
zu?CO?Qe)S))A&P)?`Ny9$V@WHU>UqdLcapt+P<`5(dFh@Sw%N?pmkZt<=5L2(n05&
zt&dS#)5|kHa`^DCHL|KL+-9#&0cnI;a~bp+Wute|I>Iu9gySpcr6WqtQJFFYqE_xm
z$;vAE>~#)EBOzzn9%DIeGA!zdsVQ*B>Z*d)+eu11+z4}n-*XP-C$Th!3;QV&9^P)g
z{shEljvYJx@JoMGDS8kaJHN5&L3bVy_>)WbEp}=<r7`4@Ch)%lZ2A%n=fN~84U8r+
zKs_VA>pscBb7E)2o;GBMmoL#%u?xQR?YZhZApFF@($w_t&sB$o`|y6HwYU6I1Okns
zd8UQH#9-B5h$b0P27#A;?wlj0$e>h!uZ_{+W^3Vp8p&YqR`9RUvN+@mIIP)#Aw`1V
zr%x}}(In_+@6a$e=L$-?>O<cb(IpTbNAt_P?@R9=FB0gS3Ox!B3lWv<Af1P*^{df|
zI9)v;Q%pac+VUg38*CPsg1uTj?F>!{x>_nKzXKJ`c^7EsLe1n^Xp(T-{G9i`8(RXz
z3s0Gm@wQoyTx8dIJ1u_l^7HSRywUZ;z!~lXLu)CHwq2PzaFWN*$vT*MU3aBQLrhbP
zP291;Mh2{X7bmBOadEJ3{`LL)N0rHTm_R}V-v_z5?_X!zi~hE7g-J<?;gGdMhYIE^
zu4wOv`#9Fg-bdB<QWY{faM9B`KCu~?rg@-7mqy?4^O)YzqgSK{hZ`C+0TOk#CJONS
zMm{w<Lo|kNx#%&g`tJ~e*Bw_JL89qpm$as8D8q=c?aax0??!FI_mYiVVY1?NR&VX$
zdC)szp%NeE?Do$t+uJ8J#i<JQZQtE8490Z(Sa!Ed-DcU<GI?TsSl#y8&JE}e#3_bi
zo@KWJQ@l(xd1W$~w)`Suu8oYJ?E0cxW!WEuwr^4pMV{K$%K3;)%vo4iSy@?FAmkIt
zO&~)g1|1_K-y!!4UrMc!KKixPF+qgpV_E9z)iJ4Jv#$<ShlMcth6_@>-fmR(7(Fu5
z(xM*45k&a<<%;rgqq&#bVFc2fBXv)0eu1I4<IbZWW%g3XdtlS3WBamzQy{2Vb$;;5
z_n$wfzJ3uu^=YG%NZ*u^eyIa=K6!8XG6y0X6ZErh-Fn_5osuRB@*haogc=)iHEufY
z1B8)3b7N;VR$1wozOB8Q*sAO*)uJHW^=E|O2#5QlloScJNT776Rk{HZn^0VkbCKhb
z^a}LT*hvV%@I58v3mh|*KtF^j@ipE5QF^zv@M-RzVgCK=SMn<o32A8;d;7URf8M=)
zn{mZlfZ6at^e?63aTIrW#N`t!Y1w)Y0#Bi!+=e|B2r#v^D>rN-o9;3cUFQ=g_rABc
z5)3<-9dcdAY9XPX9yI2V$!7KyW=<nXA`L40vkKhcNK9`n50o7gMYhS&JZjQZehO^o
zq{cvRaG?$&u6}$62`d_%WU60aZp)ci+mw7pH(uwr>JBjNzSHV`r{6|E44_DY6I4Rm
zkK}#$7B~`!Uhe1hV%jf(CQZD`ai7Af03I%GyU^+Nb+lXk%=$krK&mnVm{2o`vfc^Z
z!7+8-o}k7b?##E(xwDVcUi}?)I!w;cT2na-z4V=aH%D0Bph<>>S^w}<)kfiwA&Q;k
z^Nd{=#Hg;-XXrh=qphjaQxFiKxP9^Tz<Mx?B7aQbNt@}5i%UA`raf<3KfifO2+9=y
z&6b=45zKW+I`MgYeSH3{42N!<%JT&K0{T_BBPZ|6_6sd&&6%7S|6=#O02~($9~QO#
zhz{q83Gxi`lOBfBVYRhe<7t62zkWUAoE#^9QEBYn!O6u{cGvd`@^mm5dw1c*O$6}J
zNEHsIeEj7ge?1~5M%`=bf!=P1uRGu-<l<5Xj|Z?_2=YQNpO}*q02?U%?UvhwFcGp)
z07ki=;OAF`bOvOhm(Pa)SWy-gy*$i7|9e30v*SH&ptK}WUY)OPuhK>Y9~Lrt`su1K
zQ?>2Yvu<v(K@F7=CrOJAgclyz9|=r!my4KbuA$h8hl-j#i?^<rDP~@&O4%1+NiMOI
zr!G?dvg@=jLF_5X6I#q*la~jPWsSc9V&l8I2(M{sZoUYQ0xPTIokx=QUcYfSnjlU{
zK5~VDfT=n_A#RN^YmWbw*#2OW|ARx@!s2T+Lt;pXHj=f8i9Jh@a+&5C!x~p8mU>T-
z99%!n@$>TBv%c9{C}Y@nU~Vvh@L?!x7N(DcXAjeby<5`fmJX}Dd5sxv3RS(_9gFC~
zofXkv8<^NjM-Q5Eiy7xK6Y8;zQ1QXe8Y*l<b909aK_gO?bvI=-``tNl;wt^s&+bkO
z+&Z*(Z=M@nT4xOSJTWn8AomdcweM2^mj&SF2Rbp<nF=2`Vgjhn)YKm3O#ZwK-!yDl
zltO4gTtEilesv(p0Mh6((}VKzsj}yfXlT@fknVH+^`}pjSy7n>k8qNp-6kd_#htGC
zCA0kAF`0btr+)sMku)-LavNLgvtN`qHnXZKcmVOMYn6QT=~Z*8yd6xNSUl?d)RJL&
zW!I(O+Gk5PZe0l}_N4zPx2!97)j+B~N|pIoS10>r6M>8T|6H>j_Vex+#C#n}(&VK<
zVuL;}we!wlIEABj^wkb|oWOL6u_1iZ=5jQ>RL)F&7}Y*XZf=`NdxFjWBu)#9z~Cxr
z!FVIYk$<kf;epTh<<aoRk1uN`*n@y;9Nqm-m*&bv!9;qMH;3~IHnhTa^zo6^16IJP
zwU?Qi024l<qatK7n|{SVcJf#S%by;ZjsjZ%K$l~s?O;H`dS%7MHxg7S?Y*2}tLClZ
zlS7`hj;tpv4&Vb2F~f1f4;L^7aRmEhK1ldWOTF|3<N3Nf=t(#@>-(8^aC$eEU8W#N
zG08E|(M6VZ6{12xee4fl0)i82CMII)3>Y!oUqT!oouePv6td0jlY6ELy@8)vT?sc^
z=v05zvT%Q*U<Co*YDK6pxWFzzcV30M2%)2)TDH>sPKme3=;l9B%@t|GxC5Am{81e)
z(BudOYQ6qsOeKbA>A)ZWMh!gztOUy}tNwFfzx_8zg#NU-xqi>foJ#^Rt&V=nu-Hp}
z=5}2CjPZ-;0|qlpgcK=FahIB>=C@S?N$W=%l*AwP$XOa0X&N2hBVkVSi@-*PeJLK7
z@0O(ydyGKn<2&DU<AYp$l;%``%HSP#-+ObyM<}$U5|9iM+4cj;O9Yt%4(77G5pgsG
zRNy8J;_bXMXgBumecQ;9k~6l-$I9Cr!e8von#k%8z!>8b1^&)UC9uu`a*>1qF(N(F
zC*E$ld2&iUZ!9}Y?TWw+q<Ahtd-0|By?snom9mbJ^r7QDNhWruZuS|ql%<gd0Ybq0
zzG7$RE=;p&V%yHi6Ac8F;{|2aHq4JzuKh9t7j*bfz!2Gc2%I;1{%XL}zY>%g^mB~i
z=%IMk(mJ1pJW&m>y3Ok$qs|%~|3+Lhm0U-Kry}HOjNoa3dR|G9%JNY?*78qgDqNBx
z#tsI<ck`9}_LJ+zgZ|ZWOXh&q<%525%qL&Oo;7S6n^#*I2?<==NxVN_r@Vipsw^)4
zZjf!fu91C=Wq|j5@JoiLeB&d|;=yFeI|NCbDydKG!u(PJu>}xj!7(3L^7)UsM%y~O
zLvkjq12@k|C2VhTT3oHq(=ul{MJHQ(J#zWH1K04QmJowPZp|1P##aC=baCOKRF|Oe
zY2|U+B3G@(vL8}QJVd^9N~P`0!m3}XdFtEj^_9j?In7?X^d(hp?@&W{ad5CXyTr4?
zLReb!CbW6IXq;jy{we&PJG!26#Q5fEseqL^TL8}>ii5mdSGSE5aDN2r_%~N|UQs(J
zugI6uuS}G9Ue4zO{8%x8VL+PNzJUwPuV2IV*z&Zc;d2uSR$9IoqWxcPt{7uDy!)YH
zh3RqSjm)Rv(LL{25vcwV1n4jE8cwYI{M+czKWldlpKP^K6|ssFDgjlme1my>%+|)H
z2sb>m8$c3h7neV;xQPTSrQerWTea;qH0~8F)rkA&pZ%cVA5ZK-^fg2rC1$_Ja`z>5
z=bGQ1Bg@@2RyA7-U-#UC0$@CzuCDg8&i~slfzsOAO^DF}Dvyb=v-6|0G&n>-a#~VS
z^2wnTKoCMnoSmgY8UVc-?0x;ZR_4ko$FxJ_*mWbp`Yfl#Kes+jU$g97U<n{t@FB|V
zQpdx*lG}}_v+T`l?5bzNj>{EoQ+||_zta7<rCKigRMNeBXzrNS&-bdyy(zw`pvL`l
zUki18H@R(%(K}s-jQnTMoB*%{Zmm8sKGMnbDK#hlOt8m1a#;9LgFdx{$0O1Xie#Ja
zmQqjBo>oYtH%k&Ir>pe&c0_1@iPh3%PwUreotrB_Xi!tVSaO>=Cdos?FIxUNGez_g
zxwcqCq~C<BV19xj>n>*IxwNfqLQqBqZ10?pUePIK<ZG>z^FLFBP0)d-W=!Ij*N(
zr01k>!6^w?DGByNsiqH4VPwAhhn67|nBW+7olKM&y*l%~M$?37oq7`93lO=#C@!X<
zrk=n(dEx{kfl2wRMWn4|hOupfw3!>d1t0y=s59LGVb}bk)%`6lnqh=^5!d3I7J0`h
z?;O)T!Kw1A=*P~h!tF<LoHqXKT{Kff`Nuu={a^nFbtzb8z^O#!R{5M)Wbo{o<g+#A
zNL|gmmfp7GUzq+MQ{MrNb>IJgNmQam$!v)1JyKSLG9p>oD|>I56_s6NuMk4^C@G|@
zL?MI*iHwY_Q24*D?&o*T-?^XrJm-1tf$RJIeBSTZ{L;MPjxhDx!NIF*YseqtXJ>Ck
zaKVqZA+}wZesIt)EVy>a=KN>Uv?F&?B&-H-rWV~x48O$Sye#mBY<QQ;Z&o&^mVr};
zr$!t5y(^hEHq=qKf>^e~-YGH`ewL?AtcjHNtA}r%kvo3R{pZI^`OR-%oH|4ms&eLN
z4dIC6s~$$gtbzNabAZew7wcHc4l~hXey9E#4vz-6ZT#xL7BRgm^qec=eLECUxi|RS
zrvg@bRmlV8cMWj6aEcKAx>HYgR!J>xxHCpUf`v=QVRPekOUo7%1e|dTqi6371n)K$
z5m_%NDG7v@A7UesnU~QDa>aI`{cXOF60(Rb9c*ny)=CC?DOG10nrR54#*M#fk<az#
zXT>{k<V0dgyO1`r@uZv{WuLie3!dk*Kp&xnSfLaZ#b=ji!z~%%@#C(}o@9lz!wJl0
z-^rZ|-s1@8t6R;gtfUEof0SW1{yz+7Ri}r08_H<~0D$xJV`MceOYE>D1;>WK#P)VO
z^ay}wDtO!!T=X<!PY0=>D$B9mm%U{3w}m$;y^)`%r!>AjSt~H1AMrKfxhouPj}2-x
ztd_#F*dZTJZeH~JEEcb~GlT-B#g3b&(UORhkL=*;PyW^8OH0jfk2$=Hi0m=73`VxK
zRL0zoA9?B{8aHMOQzLuQt7nSAHWC=5Zsqw;8y+(haAW^q3wwrpp&_=~9i^M2eFOHC
z6b!kU3DMOzorboBMh-e|eUDYcUdYR4vUW+cp4Tih*JbUP<!p!&6?w?hr%zF$CTz@;
zXKHJE`r48;7?;4nElgTqxDZoQgw9KFhM-aav_b~f@53-B&`k<_K2QZ~HDClBhIBN3
zX{HuIntMLj+OO*BUtOK1e!9U3(HTG0k)`WWyKU+B3WD|!e41FZSFB&QfbgK>Lf{ew
zfo-{`Yjl55Ar<-RNWe2<YZf9lGhvVd4;1C{Z}y6Q2766VlH9Okq4^xGDY)L2f%9Vz
z6oO-aJD;QjuV?Ud-XWkrS&jJgAy^?MK0cRc%*urL*<zI1W_{QEE7hvFxwDmlQOJD8
zd;v`clZ^`}gAk)p7FAc8Zq(hmO9ni-?A-J@i_df=D1Ol)3m@`J{J>u`UhPd7HY3eE
zcc!GGs>%>xYOaczn`|aOFYm?Z5IJR&uJSX9QoH|*vvBOiI1CA0@*XQVACq;XGK8d<
zDb>z=_%OO6bT03kwQ$UC90aHIGVe!oMLTmIQWB9`HMxPE?feOhb_XazXyntR{OKF|
zk`g6pyo`_kJ;|;)@71J8I&4N&w^J-;o?n^#Xf3|?mz!%Qg8SFDxlBSv@q*^v0zt+~
zqC{NPJL2-dY|srQ!rj*4(NSt<=Gn2a9Cda$gp(+_nTyONVz0Ai3y9HT13w}i@Z53~
zjg{YBiL$h4g~I6S)at#Ar{-~U!838<0L%e)VI%*?PO)Mt2Y-Ph6DAJ^h7|P5GDlnC
zGC2?`oOX3%V*?I2?P7!c{1ASBG5fc}79kWQ1yh8Eo*p*@7-Oyt1t!cLZ+VC`2tkvr
z_gGG<B+lRZqKPdIC*T0X^+n^Vi~4ysKO+f2SjR-Zc3KD$f%AWHtIDiF0!7p3tdq(F
z9#K0=$|2+fgDFU2uxqnMJEz{8eXMFZwS_E4w-1l{gbw9v>gnoQKZ<sF@u25E$*BNZ
zJhmNT5VAsILM`VfalYjkCB@<`77p5L+(0m4Vh0LU&D1AqL=63GqBZ_G^ki;9Zs3U8
zzTrJ`{@?H0oK%hdV}6$1a;Bv{fe*;h7r$q)=5*mw8u$2&<2=9O#O4;wKintdUTmz8
z%eQmz0kiF7$OCP6fbKc%^`huZLy}<^(PD`kp~s5-ch~oiT{}#3qjq>)FJdTylGoEn
zF@(To|1p_V#zlniw0i4{!XjH4+U7AEpFDZH$qd6KS^=;5_>}2>|0+kMTGH;u#gRRz
zub+Lvb_<d`#S;E&*`B*oI*d>?$>zMgg4hHoIBcr)idurBscDpGepz7Y#1~;I=c5Z1
zfji>Y^0{*kuk&>upV|AqRP<&Fl>)gLQHqc<JJoYf*Y^<lwNj_NpJudPghvGhgU>wd
zAaBF2mjrT6{VZu|WhEt461#T`iHbV<qJtz?uZX!@-s{}^R>F~$rjmQ-m6bu$*;!k!
z!uv}@(e!DbeexGg<Ev9LpZsp++@6;>k}WFA)M>&GU+^j9f}=i?_1Lk@vU*w&G?WXt
zLE@Qj$%Zs#myT!W)~r9y{D(NmsE#TeNdGRAdCsAIaFde!CZxu5Ukt729~0L_Fk)NY
zVI?OUA9YOMD5w9VwnP3Bv<%Z9F6cLuRaa|gsz23zHCVaqO{IFF8Lu7c&j6&;96ZQD
zLjk`N)GT3Hh$?{R7uXCEZLQuWmcdR>elv5D4jorZxAa+wJQrZ(8Hm4-bc-Da$@ln;
zK&62Hf+Y(ybME!{To!KC9snTGcx}SMzWwq}ejkpUD|m>Z9La`Vgqc|iMqd=al<C?d
z6l8onw}R2w4b%t(!~u6X^gOnuST)Rh(8<*tVCZCFI|%Rs)LKy#w37NYu46!Tv^e9m
z&ZyOU8;YFeKC~Cr*w|Mw<;6ZRcih>$d?S+MY46kfL50z0doYYE426A#^flM!%;F)f
zuPJWTeS7Tc%5rmW<=X81;~Bl+X0u+Q$>~t1oT>g^7=>70pN8a4HY@%@a0l2iV#8);
zWB9h2pgnt5k5k63lQd*DtvWM6)gu7eBlaKin}8Z0+Kebv${MX6KvN&Gc&pUeQ{V5{
zAssTF;ic-OD8w?eUIgsB)Y~0e-Fr0xqN*(slBei)6PBswjVa7Y9o+s*dFp*49V7wv
zj}$+Q-Em4-ZGJ3X*3dvIF}S?X$p85Kc`I6aYHKfh+#5_ISR27Obmynzm5@Z9NRa2r
zON1p|0!qIfot(ac%!6`LjCR0o8v6yrC0R0j=*BTOF{KQpqz*i%w_les*j<j+i~YWL
zV#tp*T{m*^oJ3~IWQCwJS)vnCR%%WJ^$AY$N5^`&2mAVW>_hS~y87ajkWmu`jgqo5
zQdt0${@vKXsIA{*vV9xLgKU}$EPS_fO#!bJ6&6lUhaa)5yvWVePrXK6x<QY77)nKy
z3*g*@UJ(yk|Klr{4GoLl$!=YAE+a7x-a$7U&TmQGy!|Zu%lCxG8#{~4<a)?io-p1%
zj)b7r!q{yS6Tx&ZK?Pku+{N)U>0zDo$PJmJSlOL?hmtuQu`Z%;63?;DW)$h}6z#G+
zS}?Y!7<MFWlal&^UreN;O}Qsc(R5nnW<iMT2xtTmeO*d;=Me-Ay{28?<K~AtUS3|R
zVUH|3QY+k2@_7G;K5d{H2K5@33=Dpbj*>n=2`o|zMMSi~LG|J_8TtPG#J-)d&l9P4
zJQ@EwrtqdX*xM&dKboGL^zrqr-|&FsOa}?_fC=1wm46hDn8`QP^_-@AV+(N@a@Iiz
z+1uC*VDo@%RCK%<T5T%C%W-mswcGvv9->8faK%gnf>Tn`n|Oic?k#1u<_f@alHs>-
zVQ9=4re5KK5cNmy32_B9!c=w-lLqhPoNl(WHuB)q8dTdMb95gX6`*g^?8#^v9DD{O
z6|Yu&e0&kxS(t$cxl1i?QJFnrLAJLx_l5uI<Bv$w$1b3pgPe+9*m=02{tWBiuV??2
zgOGw$1}d|BW!3arPwfdV>QaPMK+Hoe=Ws*Lw=iXg*R9ZFQ#t(aZx+!ht*ZK;bCi5_
z!0_Ppsn_0jcM-mP`4YMInMU3wZ05}vs@aKOuV0^ouMe8K(a~%-hXv`vhYu}~u#>=N
zTwGK{hTjkL=JkN%sz0B>;&&&I17Z{cpZMVq7g~(s=qKd~5Lo0^=Z8DVvBjdqJ|=gP
zM@Yab(Q`Ce=seerTAqL{#?6ic2c0BeEo7haQLFu^=k@s-At<@;ixFp@{B*g(FFL~T
z)YM?&Q0tg$G^2P{(xAw~{QT-tkD7?_ja#`V&pP<mCLH=8Mg<a|EGUFUPqAKjd{0aI
zPP~tZoVI>b@kp~kt56$0_unfo`7&%TpCS1W_N#*f5|20L1YO|*k0s^No_nVbkR_>*
zn<(%Hq>}Ybi&(|3k8B==dRbFb6T;4+KISgJT^R24Dy@OE><^_%<>aQL0^MB~+%llb
zg20ai9(^L<0K>Qj%~d?qwzhg#xZd#Gj4qBc+*?6F`-`V@!;@G6Zo;kgR<4#Z>(pl@
zrvv^z1>6E^oCN=#JLirQJLM6a^rdctpXHwtXZtUs_nK$%5K>W4bXSs?3nnH1HpgFt
zls5qIkvAd6g^E8tojIk$u|!j5F-O@6x=DVNcwu0sxW1&@{_K-&)w72Ww-XZD@tnVa
zBr!`qoSy4AVlag`Ij7#R_(@$<%srY%5p8_E&0_t}A5y@ExC`h6En0yBA_E>Jg#dUH
zcnxpuJ@Un<#t9fU_7L6#hS(cj&y3_Z@9iWY+N4AJF+z`0I>t3cXtbv;_SYult_2ML
z_<<W2l4W8Fk?LL(Qb_`q79>O0!P!7-?AL_@al8fc9>Vo6gXdmVZ~OF%d#_*;(Ls+F
z2x|R*;$Z3HsKG#p>SBm$h3JuM+)J}}6ib}fj*Z{4t~fDRIP=N^TmG`f&!q6sjnZGo
z_b6tmDV`WRUPEZf65y+B@)n5{u{vfegThj*KFElG+DPW;`^VajQZczUq30S$P&c+m
z{t_(8P>+G9C)&SSzBYdS4f#B@Ikqw9J~_PX+i^SZBD&Q@Y(D@V0}y>tqZ(B)-z15Q
zI})V6n)BOPUygjK@Z;M{+Lw57U%t#-`&kJ2+rx+FKu`}2c|oD+Gxl3M=3k0Ot&gyL
z{Q?($49X>E&m2z?t?V+%W0y?^_A^Fo4@%Y8$qMw(|03Z+&7kz-)37W{wBJ<UrcAxG
z*p#}@d(iYN6#<uQ(0DpLn#7Y`o!!6zoUeVyr7PhK7hnp(b#MIQng>2N!h7M*nQ}V_
zzk9ll?$9@G$=SMw;_bgZC=eoS7C)1&rDJduZ7oqpWjn?@0<c@`n!h|>5Ad0Odb}+&
zL|_lEY>_U*lj)zie}Y#I@rwpOx;{G_>QIr)$!kkFd1FqxF<Iy-P639nx!R{sA49YS
zn3+%fxqN+HofeDA)DB}Sh;*fyTqdbN>lQzLOu2Wj75`xzxRFs&U;OA!N;xqlQ7g^&
zs1ls3Ue0)^28KLm`Zdb!zTA+|;sSaVnnnb1K?Ok6(D(Lwz=;ULpG`jVKeXwK6Rv0s
zE%;<1FG4~CavIP<gfHF%9c}GFv^Gpmb_p}l(t4pbEG&$o;}R01pjpHs?xZg?%ww#8
z?3*88Vvu=1!z<_imj1@2>-=I0XUQ&pes%NhI$nf8z}Lx#bx|e6CR4S3!n4ES*9XIs
z%`tN7kNE9%ofi-4A%hT7Y2WraeB3sj^|KP&&Q$VFZE_>Ok<b8#H-vsq><0u@zn~S7
zsO-T%v_I`t8=s!luuDOuA_<z8WCH>=iw$ePyZTsr`H7#^uaqd-S-UCY9%cd657H#9
z>#{B`>K1d%Jcu>eMF4JnVtv{2|AS#uk(~>{w7ci49sYXuPxzaUsNGAv`O@(2-4NSj
z%}c?taZy6>YPe7dM`j$7jSiilc}Qc{bskXblk`!e)3!|$KXF+QS~;8Fe1(PKqx}jF
z3pkz69T(u|FNHZ6C?DRQ(o&Q%3nr=L*cx6u&zk^2Bm}IVJ{hPkgd`;m=x<hX#k~Qy
zF!SZbAJk2}@LOBJ@(cNiy}kWrN(p7_yLV{hL%7M|FI0It!-b)Vl9am@8$UtOb#H#Y
z47JQbB&3_Qu|&LgZV#X^A_{w^UN~nT%QLZqEj#w5-QbIs%Wnj?3T={by&_R^^?Ozl
zmRUR%=!^y8Xl`Z(?+P~e&LfWjDd77PfAt=o#W6pLZ$kW6gJx$t0(e(PISOn^WO8n4
zL=N*7wd`bF{kd~02S3}vZ62N+=cw*-T{?M|oc6~z7Xgwn5pcBVS>TnwwC%bH5D38}
zZog9(d0O5V!(@2Okl*+4>T#%k&@3ll|B)X<Xvd8_uzKBL$=5h;c{un__WX8PmqOz<
zG-^=eAc-_sb|hl>&;`+s4OfO`jo^?Fn;2chPQHSTCowbahN$8t3|2xegnd#5iu?x%
zs^&kAK%DdE-t5sUR$`2i3R)g8*iSIT*x-JEhRV^@6pVABI{URh!|y~6_wW8J(bdBc
z`zO2bWR}s<Gbg_SLcpB&>eVQeMI~Ven|coq=cyhgQ`ZfhCvD{*4Js@g?jFx%X<*7{
z{C=N(baWK1M1Ttd+g0V%x%_ZpV4qQpIQ+|4y6}Ii_!b3Tn1X_^HVfno>1b-A_^?ou
z^Pj>LgR%VaE?m8Mp0$mQovfmmjY_Lzw3rMvG(5L9{c(k;vJHGaKu5O*xnN;$!7l&O
zP4mY)UnQoq(+0KQOxj=Ue>0zS#Eev52vX$xBoEjnu7zMhh5!<?t?Jl3R;7oB3cd+p
zcs7^Q-0iYR7teI|A{}&onC7~k=fo=v_1YNl{)T!ApzjZi#fVA)b${-77yc*U&?I;0
z_uboh#?5>1deb>o$*2~SvAMe(?_cc}rgG$v#`33AVuXW*AR#G<Uxx9)cA;=cdQ^<m
z=$I`4h|HtI3yUHKd6WfLU>)vL|NDI3o|4@c2lR(;N<o(>U-t}Ii6>4x{N=djw+TRZ
zIWh53VShz(bMtP1=jeg3;f}vJac<!cbpJc712`7B^qh`#kzOVrUXWAydueEW+CbvQ
z>4{UXdRy*tb+zxX_kZ+ZP^1YqqkdYEW$3h8vVQqe{(PIMo|Vf?z_W!}WqN9g6UA$0
zF6Mi76UcAAw5&j4vq<4{WKWzwQBdM^$u8d^@-?(J08+D=z}I1(19<?J8i5~(a=;%m
z5SG`scIsByY9Ye)Y5J+khaCCAMbS;!!=rZw{*;-%x)m+G`Eg)iO?riixPpGUN+WNG
zO&_=VuB3ycbuaIe%)4EGL{i3wQ=gy^N#FaV#IsK?;>Z7K0qEUv%iv|jn2sxL<$BpM
zh?R7VycWK<ffykwAU7_(|M02QUc1g{G5pg|-itqH`J8ApkD~1bzC`EyZ{BPVR}>pF
zjNd&!dG`M92a|aY7C``%%J}Txs`EDF++Lm8<L$wZq>ZV<5@F>Y?1o+N7-lJko3#=s
zmrDH)g%$2kFbc#vjvqz0LQ+D)4|hX-3;WdTL|O_rmQ%X2nXmbt{Aza~Bue^L=RQP*
zv>lAg2G63Hvk0zl)Om?qC$1Yy$NWkE-mhxEt>&gkghYd>?kF{X+Q&qS(rHbSnG*3H
ztIV6E8sfqk?*iQn1Mujg>l<6PRa9)dspBUzCu=eLwe4JiEyQ4=J&e`}9dR9dgNM~9
zfIZUh`t>vu2a1cV>EqVEH$9wXet14hzW6gdQ8Or)Hmc#qe&=eOUBN0CL*IV-1dSdW
zD{GYwBhi+QKfL$Cft{O|mvH~SwJi_iod5*UZH0_^0(3>^&!6WvA8omk_+IhPo`PKF
z6yD)(xd9vv*mwRuxxovvlDMF<|4h3bZDi%>D?a?Ef>7#1zHLzAX>n@ML%1}<an8aj
zMIa)|2zSG!|89|NG0;%}k+;4O%@xtR+XzPoU>k#8`JAGnSP5Ai-heeZFEthBpxwXD
z|1g_0<)_0yp`OJg>bA4`ZLnrkQ~kGD<t{*_kjE-qf}OaRc!vO`Z>3!p;FuWSrA+-j
z?&jqjNoUw6KsQ2Y0I{)i>FZ{jqG>U7z63_JS|IR-D8c64Ha$@B1G-Riqc_Z!ra^(z
z?>yF}PH90|W}SNYz|23l?IsDN?ii?j#(EvL_J0+jCBJsc?FdH*!Fhy)eErEq&+}Z3
z<I03m=j{Z>a7ZR*t05dDxZS$m{wnkQdtpvHk_Lo`Li_^zdm4Jx^@<#kds0$@)Hw_!
zvYDlIbw-Hk%`)pKX*A)-vW<jQC=AaXxB2Vw;R*{jhNuqZ6M4D0d+3GFpE%$nZqldj
z?k;<ivdre`l6qC(Rsf{I_-%^O<k^P5`=NO5+(bp`)!e9DwpX>L?nfP^o$%wp;e!1Q
zT%u8pYffBTajzSZEIsoM;&dq6G0)dvNE~^TJ7X{Ei)b_;J6(URpl8SFWuv#z<jsBL
zYb7Q7>4RKR$3X%?uS9eqc(|(GZg1uo7@7u~h&3J&&(D@A{CSy=eKxU)_~iQOg2GM4
z<kOrWjLM(ch{SO)K$~Vw`}QMg+g8gL|7Lj?&%H;sW_Y;`Wk}A-$dHlwk~JBbi-nch
zA=FeQqDzySI#Q&}?gNJE2-d!jcMN|9g>5^&Gi!<WMMdqq@B!{7R<DJ?*$;o#>*il|
z8VH>^Q}^-3ILa2XvOqR-c%4hO>ZHrfD~nfYPBq;gObyIucMt}2Ys3nnlBr`PrQnqq
zm!hpOoCFtQ*{1qryr%nRaQLTO6l$!soIJpxdH^PxidlVKy}u5czD8l0Bn|y}bdxu8
z=;)~qa?UhURITjTrMYt4-{=xugHxM-jsG7}{(PN|iG=St#g9*A6?sfT$cG^bxHU1#
zQ&{-JR+MLiY^HTj?ilc7`ab4{n7+Q+fyK2`GlxjUCH03#Una(FS8U<YEj7WoSjEiu
z?_E9m_Z2dRkO4gQ{rmm+cqNC1hs!D$V*#NdSXT6I#gEUnpYx`YD?B+V$o>@H--Iy>
zA$?s=foB2(1LKrL>U^&*?LPl*%=Ea23f*kc)}uDbT{}+-3u{sYkzg{#Id=y05%Chd
zd>Q?#aKsa3Yw%%i=@wqd?!wT{%g_J5_3p3Fll`|&=bk%RF@5}Z`q2cTK;gP{mC2@;
z(|`BLoPR93J~sLGhk4aZQb**PC7a}rMNG{|7pivp%8Xz8B*Kt>&kWHXKJ5L&MLzQP
z3!G&T3#W+Kkw1U0z4iQ6>)q=!tFzmnw0TBIL^co%3W0xrwe*XYuZS2~=P^CjsF=?3
zG+IO<Yv_s9t@GO(wx3<y%}x`B`8)tF%Zev16Ql++oL+5L&);KnqgJ78Yc=oFE|xIy
z^P(TL)e&=&lyjluTYq26S{Pt9;}S$W=pq#J(2DVSXXJSc!2uj9M&2VK^h}>&&cNK5
zbfs#CvWBJ#?OrZ!?)#f@uHRX^vuq}PlJtuD98hzMFK~eO40xZEmO{Dh;^6^y${u67
zvs0gHk$tClsU)?pU;r`xd;_{6h#Y@0I3*}#i-R>s1$q%{#!S<|Es`1Q{zrp}*Js52
zcf5aa2{IU>{R^K7gc_5BRnty>v{?5?oN{op!oCeiZt3^$dK`gDIkpfkK=6d{itm_{
zbP9XtD91ML^+wI~Cri!=+6!O_fGQ@TZih#&v|hEn4-UobCy8fdhn5S<BxTeqHxJyQ
zr+O(s05}dwL=h~u(En%T=1vW2w_B9+8lFaOG6a%!(i&<!XN}b?DJ?$lii9iyF+d>l
zfTL&L(5~XXWIKJ!fS5);n~XD`xFM1iPU)N4o-;c%b`YL>PbLZP(%Fv?mJnAQZtk~E
zWXAPIJ_2+;ew8W8rg*X=7_a!$!{-4IUM{2iMNK-_g}2?sENTG?@6`Ck*m%<@ME3Np
zUW-ZYC}Ian4bvRo?P=qR^t%^SC;)W;VYue0laQXir!rucT<N=@UXAN4Gh)?Uot>d1
zU0hyHlMW2PUkK_Ev7fk?^YW|^yM%X8BfWQ>x9uGvS?Y;wr*2!a&g7;5o>(JHH@$EF
z*U3F%+>EA0Y`@2jowX%plbqAY*OdM{FNY*K>#w$5d}(BSE=z}g&wYK@(a{?x1|{(7
zvQ#;6x`x;3y`oCu)4bJ(`wqNxDI>cR6_qaLluk2^h<t~h+zwy}g`1mO#Doc&!-uVH
znxp5mcu(2&-|4F3{@5P1_<WhCKfyf9!d|S|Q!dAHOY6(f1)mVnbyfk9Z)0D$rCRaI
zK1An%o!uYs)6%{x_HbK*j&!9nOz!#+dc&+(@&pIR1<o_3R$7Y%?hmu>pnqCREQ(QF
z5C=IFP9=^F*(4619;s8W-g(F!1j+m-v^W3$a(nCSaRS@UMq_ixQ>C~5x`D6=dgoKb
zC#i2{s^TqirqgYUL*drX6y-n7e!lTdJH(wMN&5?!X4Mmx3<lpGtJkd^OA(rI{XX4W
z_=Fhqi2kPL@GkkL0&M}*UiQd060=z#32<`*MLi>xuU!b33=lJf()4t610U0uFIUlh
zJ6&YBHgz@E(E=7jr{}+JEvci;5z%<WFKn~;YCeLW2$%x)JBhpZ+RJ2usPZOy!bD26
zL{F88l1}vA`0VzS>6MOR%_hG&eDP3mSa*G^(dNMn)F@5tWP;QL;E#pHL-Z71H6cdS
z0uQbhwOUb^+)?df9=!Lq<D+e)q&fF57-~F(D-R9_%%)!knsfUFgoi^sxzD`r(tk^T
zF8fELu%grc6eX0IqI%&v4imUHPlNnJTsXE&I5~^-svyuv61Is^xn)edapXIzabMce
z<Hu#aaHG(_PkEG2q8him^UWK*IzJ!S0Cm(3MfDtF;AS`dK~{IV8Cq+s`Rx7*944Zm
z@^Gt22dujfA5Rv0-4XS3+l?%a!iKkRe<I;Iwy%K%*6MDtKg~Vvi`^BB4x=2x^pJ2W
z<tViuqp}dBq&nX={+^0pZaxYS%W<fBW~k!%_i(r6@hkLH8FPx+FI!p^b2L~_oWP8Q
ztQ9F^*&5sQNF`N=hpyrO@bcAPz`T)M3lxuNl`A;7+t9!O@OgGj`0)et-8zZCT2%>0
z_Da^$4=AfPhQUe9<!VhN$<OZFY<kFf2h%dpXf<fKJ38XpEa)Q@ID6m!sOhXdpe%G+
zctkIljhDCc!-pkAaDu?ZhYa8i?HaTACE$d~DDg&?D3!=b`tfE$jr_#H_4{phB#@n>
zS|$kf0$e)9mA1W8XuK~@rdefRk`7?h6{xYSk*|r6AKewodLsUn7-zOSg}8Zb+0T6f
z949PCG{=7X?xtO3^(rcutKX7B_+oEVkx-R+5QRv}#+87>kqRkya&^quWFliG1(SXj
zJ^5nW_jrKV&dT~jDKdZrPC>r<zpg+h>wl2{ojX9nkDrtn7X|UG-%M410B*9Xle)fH
zt~xiL*$2p_C`cAbZw!@BAMZczeK$zqW*nV($U_Oagu$Q4s4#5|CUUmO06Bd+>OaMQ
z{TIv8C+eJWAiaM_s2pEz=4NMqwC>c~a!=;``JMbZUKl(qOwKS)BPtTtgC}q?kl!2`
zhJ0~KRk+UQ=bhz9|2}(P!$D5bm|p&ylUA0lI+!{`{oS^sqErv+L|p08J`G4mdsVxv
zT5cjks>GmXVataLpIC5xyzomd{Og{vD<<#obS<g!GZy39^ZBThR9&+tEGo?mPJZi?
zd3lbsdsNJuW%OzVAMk8?B|W{x<fJp5J{EZUw-*Tl6cohb;@ZdXWE&a9CEdkM2miK*
zN@=%F?Ox|{5_sUq@QlJ&ucY+mbIUrlGU<`bE@UDcZEC>fLDY=r9sJtSJe)94StC$E
z-t!?eq2C2!o_wD8Sx><46QJv%m)aH0wI{mAsN#uN3%p?yeIc|55BjeRSb<O$r0YMP
zSbsZYlxtB<guYJv)vPi*4F&8FfMT_a{Z3IBt5F_2$M$QPW6xKdFdsm<z-WH<?AZXW
zkNhvn<MgzpGB$&@m>^5T=>_j{fpRu3emaQ6darGCpY(8beMUqs&y!d7y6G#udAfMm
zWVw+2d+M&2TaE*e(gQNjRY}TXurx7wk9!6)d0j=?t0N|+8Z#$+OPr6<TxL<|Jy7u2
ziAv39<?+fu&41h4{JXru8|)jcKrMAR;~=C*%Rx|*OVJLc>xEczkhP#ZBTGpIV-%6a
zjfi-T&l__(aWr4v2X7lr&D3pEnrk*w_Th1Kzvv`XUiah=>Px6JIFXUDdW$cv6ZD>G
z=yg`@tp2M4+z3N!-Rig9=A(mrzr?{8<5U#&INW{dol#9h+l!r{W3Jv+S8XZ8RT+1N
zu}R%zxMx7gI!UKMK6vD#2xn?bb2D@guRbMiEI!hU{3O$<fAhlI?|<4?znZ>0JVW)k
zpp<5-mY`*&`&UqL0$?ZJaV<_QKfmV?hc7JH;xr26USprQLr6TjGms7!II$mexlbR5
z9%9UQQ&MW?Ywm6l$Ug~Q+?2PP`!MNyThSyRgDXmxILd6;zn`!a{Cx)F1k!CrCnv8!
za0R8tM)4QD`UG5#_)0Up+NF@snn<$?97%gy+r4x;5#QqSyXV-llUOcXkqG#!yMFfQ
zRX+ysr!*9}mhc5;BS*u=-u^kV#PBNl+O2dJNsR1t`f|ASe$^-6#^-aZvkscJD~2Q!
zo9(nYvYq8^1{9+Zso?lB+mD~5QTjecKiBWA$ge<79;|M}qH~N=n9;nZK3oXPO=P!|
z?0dcQL1pC<4D!fW!U&3~1xi}DFluq}prZ#-RZREpuJrZ2kxS3*2_*5?>*)@0J=o9e
zdXl`Mr6mvP()F%spev9<{NS9HW?25cbdpJN!n5WN*a5Mp{aIlD^P~5t!<9_SF#$q;
znWu}(FM!XK-ybJx&~0>2_9wrb5%;Mj)@4A-23iO^bi$xp6oXhNMg#D#c=W*V<18+|
z$NmiaDafSUsJG0GXNCrR?gj0Ln2M;NqN`!t%eKUU=u;%8va#i+(AIv<j}Q@cvv}n$
z!Fa{<d<AYtAUPN>(Pm)%S|j;%_s8^4#~oYL^`bCd<!j=nrx52c;MY13rvm=~q72qo
zW{B|w1#UV(eKU}^eVfq1<zH~{PQ1N@s?q)#20JdTsFg8U_RC_fh<_mF!`t;=6m!Ll
zjP;f(TABIjooI!w+JkILS+N5F>2rLflym0{B_$h262A8oD8Kpdb_xz;1qd_A5&wZ4
z<q*VhtT%5c?kE*_?AO&iAfv8+H}i(r4uP_hR8tz7Zzj)hpE(B?OxQs#sja_@1-~-!
zi?O<Tb%U{SX*2GJz}?aQ5QiVDtG)q#C4!*_MI$o~H23)%Q#^V&sXyq|e(MhrF#g3Z
zwTU7CEun@JDE5QEP9urJ&Tbmt|H@>KV)C~0%J1oi`ctn>cncHGw-whI7Mu~W<H~<G
z^XBbaZZ59NoK=g&HE<jCwFggV=NespzL3?Hnw!IKnnr6}gj3|m&*MVTkUS%6W~v&Y
zgYgLo81C_pSK@gcyv4AeK)rp0udm8ZC%^e3mQMI^21N=EZFIM_vTz+SXZ7GI&ClLA
zz4nbD127PTQk>G&-t?6~`Xm+Y?EFLs3ot&J+7#VBUmFooxp$`seWX&(wE!kv8=FbY
zKo){^Ntc9DE%k5DeaRhCOx-ndR>HSro_{~BK6zCMqq(C>y(r^T;%p;NK#J5z2F7P=
zq}O3*iZkjHU@dthfleDN4S2SJAU50#*4vw)EfsR>meN&~6KEy}`GEo7e`C2{r$`Ut
z+I@_SjMUVZ)zwWbRqS+bWQkKZCheQ?&LO#a5L4sCpvxp{Y#RV*yw7T1iu<5Z_2wu3
zWH||Pw<uAy`mO5DbFb<$ca5uuEQ|!^=1!cVCjyJ&;#Uf!Kh^D`nwkonKFf5<Ck66x
z+zl7j3W6Y|K{V2>JxqE-2E<SeygJQFo*lWFJe{J?|1fp64Sr0SmBWVRfXo^t(!Ptm
z72S?~NB_<_&t35J_FlznjmJ3;gp(rcL8ZN9pm-L?(}Bptw#9O$!i3T@o^TK+%gCaC
zDtyDZlx#-=kZ^#88t4~XxYjH!uaZ_!i0J>l;>#G48eK@^J=+tumVKo(0p1Ets-UFg
zWa9V%+0s>ezrU3wB$Nm57gp-zbUhjsT>AR<&UR)tGgH$`%l7|CCmQQxDk|KtmuYCk
zKre(p)0D$V+6%1gw}GW?{hQ*I)3kCvG2|vkty+fS&I(>;!Ca9|_6jy?YQRZJkkwB_
z;po#r0`@cN=kKfa{3g;&Qz_Zz_nT{%yT_~y^pEi~zaG_$7Afhq->dyKti$R3oDh~z
zG0V4yKOZl}<%(?)g{@cg?vbBhWevG~n<&zV6#FvqAwPC$CvQpO;Q8yt^htiZk_N4f
zZAH^NpAX))jG{?!5s3Jla3?x?3(&3<mb4JrV=q|V=fumzmBn~Q?ur`MJ<2igmQF#@
zD`?nSd+VIKFwRPR{5_FS&*J_R6A%ExRe`wR%~*>1$elsEZp?fAYTV5S9frNMny-KF
zUC&g->`bfhHx`li?E`ia0I(5Gd;VM%o9z1nN&{%70Y#5-J$r4?U0uX`!A*TsOSjKA
z{mz{`P$lkBtuzi3`S8R{)5_EETio&qOH=EHbsLdzUZr;!M1;1arSIX+pHE0cOgh%4
zqPMHgG%S9P%w>)CD>{~a+ldWn8#tZpShshd^NgpHTgDHS|2ZIodD>3LXfiy3IwZ${
z!o0-?R}AQ1A>cZIOFgIi9DsYd(zQrs`N(y<)zB#TkyD7LUtAR)3kiAM)bzPNupSTS
zwUWzWk;^kfV#vCgJnNS-qWhw$H`}6*X~)FSlak7&#zr$pw{Q=OyWb4YT(Z0QLWJYp
zDYxiPvQvrgU#5j;=Ah}o9N*%DzA>c-JY=bfi91jAX4i@251hDqb!&Ar8nYCjseAWd
z>%9WUDMH^-8Z}7g{fEt9^#<3-r#mND_HqgF-lk4_+}7Hvp08>6+_^Mhld;tzVt(Wc
z^>G#!VC0B^GV=S?1hXLy>XgJp0NDX}{qeGxKPw-vdXr80U1cgXg~?opm`aPQ{{qiT
zXwk675-G}>h^Lg~JdJrA>7DhJot?70<|C(0ixqiN#a=7_i=q?(%sMz$p!kO!2Y)m1
zIjpuH2-!^w!R`TCS{=0GL8FfY6><sOF+UY7HpQ&G{bi~yj~!ZAd15V0tZ7Wh{a+;X
zUw!By_4W1ftt#I;G5Jdqzz$C9O|1R{L$)i`(JJ3QGY!_ac=T7Cdt1Fn`J{lU2=4GA
zdV(Eds*wx=aipXlNBha1Csm%iG~LUqA2b!QUkkiZ$fRv4p|bsOk5*ugmzvdS;bZL2
zBm@ODlGCk)lTp64gN!VR{+H4b^2(++5iR*Y>t5%SHsY16|1(>Q`(9K~FieSCwe|5p
zm5%GIluRM#%*zk-<8x<=NDj}m7wB-cUvghIGY~Uc4}&TVM-y^rXznfy=DdqbZ_ghJ
zZn~tQaP!%ceW;TVw<-yEnQcc7Mj2k2`HZZi@y;|Z$&<qT{OX0hU<$yw1E<(DjAJHy
zaSn%kaD6!X=d5tov}_B%Tz<)po&Dv@<k=3op~%9$tLrp^bWVG^_XNZ=+cC6qHRIez
zoC2Or5BJA8<HH$_i0gv3^=qJ(NSWf*9_2K?fQOZ-5Ez^<EcNK(L#PT|;P&>9)!C8b
z29yE3UQpu!OZ%6(d!(3`>@M^CQ8?{mcE~gSEjnt+IR?B>k9?6iBQsUZQE(WFfxpzi
z@O}b$jJIUWP@~>4(|kJj`KJ`#j>FZ#z!{d|U4sk4t-9=o;ows(<`n%_JBBun?TPPi
zj>U3?+k5-+=W+#bp*Zs;PD>E4%m)u@p^YGOR|mtkk5>e9?W(wZ^0^A5_8&T=txr(V
zqr=VHk99Tp)~!8P-k#(Wcq-YfM4>G18k=*wl`9ujt3~=c3R4f6EjvX|Shx=BjSW1z
zR&Fmi-t3;(j$bP(GYAqz1E$Yn?%%LAZT#)V`N!#V*tZvH62JyP41n>!UoKb(`Dl<W
zQz_N=B}e&p@!Nyl#2IZ&R{(&?1THBbpLx^X9&5x&L&3qfqqVaW0-U<gn0GBx;-!VO
za;IG-9{t5w)1B%AJ36N4^iDsan;ZQfUD6rueY*1@%E`KYp>4^}QU1xjW05nv!h49l
z*?1eD&474cURg<p{lJ|R8qirbyc+(n+wT5t*EpKkmtlF4Cf->fB2F>1ohZP5d4sGf
zz~nz|(}?kFfNt=-qDPP&=&R@~Ol<f7q{$8`o|t!aN)~(gAW?Y)xbp=%@UYk=S^SnV
zN)>lcCCA3c69r6$(MIUSgg_AF85$Go%bB@^QXS5>ACshQz}@=!v*f8$t2Wm%XC)$k
z+PxTW-m_g^XXP;!QaC6m$^}Q~cX*$+YY}!ak<sr<Gilo2fr$xCJ1EkihJ&Y#xh}=9
zVxO5eqc1N@tUy79r?SSO#lYde{xkX7bs80iYkf)ko;R;*rJiyzYrT66f`}<$zb%fD
zUysk6bs5|1Cc4)1Nb15n0&YnwJ3D<%%@e)FP-YQB#fW_)V@pVI1vf`PzYN~i&Bb<u
z4X)6C3lS||?%yjbb#P}5v&_Wb-eo{}b@J>REo<SAS6tbGx%PS|HYEAp*BSoyO%R7Z
z;=yoyE%3cqvBi=L47v=t31wVYmTkvQm!`@dVlvs%0&au+rbin2O3GZ*CklF};Hmoi
z*AKch1$p@kA|=dhwz0<58QGaUT*kT6e35lZZwNH5O6^xlpDb)k7W=+fR_Q+WQ<A{p
zWdwj{)e1`b-SeB_ab0{&(d2I#Ufy_NVP)m@^P|A2Q{ErV6jtAN>^9G-7Iw5`mJw2n
zS1r~yV|FflH<%x>7KV|Eis`gw@@dgx|67x@1kFx<JC@is3>6jEmZwTfOP^FP6yG?V
z`~8qcCiy%bE(nHue|0Ap@d)t?9G~AWPNtjEQ)6?LUXgl7R?Hjdsffw{vC22Hm$^f=
z?J5oVrRlZkHn#aCFZB2st)@;)Okj}1X5N2FJ&Zg~i%<G5J7OlPa#&d5BqE8)C|oUx
zy-%i|-TveRoD|tz?(Qw!KiAR-8-vag=l>kSg#pQ0v3cVcuY9Mbli5C2>|)F@ciZ|Z
zPFR#rQVoi92c~Cf1T8F-r}IpFVPuhGe(lDs?uJ_cn4o<4q2Bz<inJTRL5TwNf$}j1
zr{{oQ+D1}(FZKdl0@OIQaq9oZGBx<p!KuQxiXq&^rObdAm_Hr|V~n3x8UBaTQY8Y_
z#!Qk_`f9yO{!@$h#vf-(xb!vIiVXP*6WdIPt_B2(_>DA%;7~_K*7=%i*l1^Z^4>ve
z7#R_ftCo?ToUEsz@ojD{5btWL?8c8B4(S<q@s}2mD&5e10iSEyfZQ&>*JJaI&@M&M
z35`SK{bTk=eR(=7wM)T{2Yt?hiF>^+>+Rt;rBY>V<vM<xB#u5rHd7;?ZRPQm&`aGF
zWRA-|G4a^YFT=0_!2ujwmZKbD?RVP_bDZ@U{68(g`*^7$ezB2@l(l^OQ*tFarKF73
zkp^YnnJO;gcnQCP>(_~|4D>^`8-E+;PHZ#55zh0dcM1==VV&QAZd?0{$*<(fm$NQ^
z^uLhu=dmVdk6XKFdUq6p3UK_TBBKEIsLhx@<9f&50xewom@5LWN_L70yJbB{tS!4A
zj|v8&MA3%T8@fYG#oF5OvocUjsIx;#4N4=c%X;vsz+>t?eK??(4(+9;s}GA-%)V~5
zmP$pUp5MmP*q$^_#lbt)$HM$t$dk2$A;wS!d^m9o(D}TBNbYR?1Q_4o?6l#l=v`sL
zhxr4S{}4VzkS&=E1#)7XJN~2pR3<J7>0IjW2v=BnojWcCVQ}*4%{P=nwd<6NKHvj^
zjkb4o;&R8il5oFs0S>~)evuHmEZMJPi1qgM?YBOrjV9y6blq>uEDM#7O5Lnv48jqk
zq;Kgo+Ist=PLhqCFt_CEjXd2Hft4DI=x5`8r^2r2cQFuRDIyF4TO(*I^_kfgzG*Ck
zxfHZ~bo4%@p&qft)cN`3{Ql4@gBM)2=&2N)Nbt*&3e<o2UA29%U8rAx<nDq)j+6uS
zHTA88Ymwv4OHRAzk6z!<sacQ-BydaJ{3vWu>gHLcl<1~7zi_(on}#Tq28c=~#v{R=
ze(%r&wIsnDOh!<Pt^EEC_r8#b2$4g<Bbld?WM*>I^3H#+$rcx;5g^Q9?SY>l!vI$i
zGHyDOMc_ubYGPsnaRc<DWo0gSo4}q;;he;j3^L)n)ziUA@k~8AThXAUii*-w^=tF^
z8*q?z;~fV~gCP!#7(!Tvpc)+C39&@M3<{+^@R|r6d)}@1Zf!BVW^>;IJbW_n%bA&F
z<<QBUp4tkc_H`9c#o+}Ck66Hn6t><P-!<CVp0~S{FPmw!w)T9v4bx90;|$~WN0;-W
zA|q8X!u)YtyK|bE$~#5@j~u4RLhT|ndfkOqF3X}tf61EU?!A_noA(QyOD)$4r-c<r
zUkZSX!RAclkHG}tSEup23O;*OUI7r4f0(`D6*?ISP;EC-XC+*}--)B!@wGqRWSc}9
z-QYdG=<?a^z?<MB1(IIy=uv4|na$^CRWLK?70p6bnRJCGsW*@b73Oe00=-8ti^MSj
zfn(GNF+~*Pa64c92l<DP(*b^o&B)loj0=r;m7XEK{g{|?hau5Og~c}Ix85Y5dm58&
z>INi6=IOdW81&`%?k5_bzfsB8&iT<fOhkJBI?d(FJ(&46E@WIG-Y9b%$cANS=NEod
z^*c_LiSi(PFeJ#hqUSehz&ApD-~c8VcqoUe?7Z;3;W+rA6Fn*Ha#S=9j|^D<olog5
z1PB~jzhPiCyN#Hx{o{x7qHY?XQjGAZO4IplZE7ljq8H5hh*?B}y0meCx*6J3@pb5S
zzgvFt6Z6F9@u@&rt*39r(diubPQF<G&f9I@3q3Q_#+%;NX`{B=8wT?ab1g&LDmvfJ
z$(w&E$x#O@KTcKNkT|382Zgi;ZH>O3GZMIYrqmRZT(hV7Po-js;WUSzNtYK5`xsAh
zN8y(9n0P<3=9SPbZmzKua4l%Uf{;(5YirB-zPK#il*RvJU|f;a{IrJ9&b+SDc>+C^
zl&amzb+^*-KjQ9Ni9nU5d=@P5Tj&m~jDndB0|3;eI@8Pl>0x(nk*21l{c~E2)PE3t
z*VZP0>OFQEyktbmKk^sAd0c9Wj@>y)=@o{QthEFbBm*J`D?(%i0NFnymfQlmp2aR+
z<xwQx3|ww$<M&r%A9Z($JEm#2vm4(O7s7z$mRD4e;y)xh`WrTZe>Em#3oN@3NCU0l
zkyFmY__p@%8l(@wn+i=d2&-nL(>3NcN&y1L)LJ{*@qrT-!tGvo_{bBUi5hAo#PYFO
zXB#&t)?Rp%m3`)Gy<D2{fzi{#rUqhcMPnCLn!O;hK^ox&4i|**VQ-_IwBGXgc8lW1
z{F74GF(s3Mhi@hl&asVd(AF@$TE4x8pby|9_uDMGg}AHqW@cwMpBU0`C$tmgAxT13
zw@~EL)P(iziFKE((-~es&p;lLW(>J8#s)x;`OlyG*^623c^n{1cjV9hw6{t7^n@**
zicQw6emy1-&KK}{KtbQ`l1;;>kq4%|YQpv()txRrBd+&id77M%-huQKS}5&J*h+|(
ztD&$lqJVA={*mWXL2$3pwel1!^SB0H>A#A0r>Ytw_n;D^V)36J9C&Y&N<c%f`FD-@
zP0ZG!8FZ}Tom6{AN0sOg`6Hhg?&`d*@%<Fl_7$lfpy@L*jA7gYyX&{LxdC-dj>Z6d
ziKvG>KavGz1xDY%MIjddg5|!8?IU9z-)RI(C6!Ow>YN)pBp4uatc?4#y3qdDGMQBF
zlJ7npCKV?R_j`0X<2c#b*@cCd5JP~|4)jWiqs4}%(woo=nPrkdxQjlsl?KpDj=QnM
z91CAFIbrxh9imEzXvCR=4S2B%Jk!WOx!Ly=T}^I_w?oOqvL`-Oj(;hqSlLcE@89*%
zii+MpBdd^hW5`uBxQpxKsk9Z<%At&dn7;qc9Ze{6EJ!Dv;imhV#v>gIoQh@re~!1E
z2XIbfYlZ4KfTLR-P#|)7hgLD<W#A-i5a|u7774taH+D2m<tOGIkR52i920yd*3uIi
zBUpTH{sfOXj&xw#Oh_Y{eMFx`EPI8lcL-35zJBPt;oiDLdXk406|0I-Uu5$&FD41f
z({sn=w{FJS9wH;)6+wCsKQI(GH(wwV7*LY$-`CX8Ftf3#0g(3gt%|Xl=*1H5W_9((
z8!vv=7m#;;?Wev?ntssvhk$F%r=}({SQ3>lT*$Y&G@!m_b9&QDK*((REgs+3Zz7zm
zzWq6-(d7z)4{uOyt+dX(;i}WVe}v;Td<w|1sub<7H@U)QuAx>eeL`5+9gBsARER=$
zS@}O8FT=m6K30Xz4w#-(&BYvzNqonXlWT)^B_tK(lSf4D_F2iYbNuKyOUQ_@Y&%<>
zezi}`!05&(U+72$dBrGEp@R+T8-wOQz!qEHNrVY`zp#`F{yywMfXzqp4}lorMM){)
ztF~p&!xCLv1|r3#S`-DgYEo<8ZwHls6O^LE(5|b|9JTxLscrMK{JbI52U1ob?!l3)
zlBtd%4q@expR8EF6cggKa(AK{ANClZ9mbrB_fkYd3e8GLN(ZjB2=xO|y@i0Tdl&L6
zs>_St94HoP@zIu<)AsvgdDYieS?Hqwo9lLdrQziiP~-JHIC~QV7B*8(e7C%$w32je
z5~_K!k#TW3G#g=|p#!C+H!J&;@*X7Wh*_6x_11}G8waJa0zP}U?f8Mj@;x$aa@i#K
zh_8)CiVaqF9SOt{ip(o1n6C8o#h1=j9S|7f{POu_k2@}-!6#08fguylMjzJj=Sk9g
zHLx!tuGQl8Retwf>7ByGY8Usv>>4y8lTvl5?(*GL>2lM!ui<~kb>pJD);@@`ax!MY
z`)OQ~dI5l2A)5IG(C~iI`Ssl@6W0rwYC`@pHZHt+I5v!`KwMc&OfzQfPn^0N<$WLM
zy($j(tJbN2Sdf-B0YA3VkjK9W9SkHm$KW;Q<0}DF!7KUjihruYGKbEuQ)E@-&<5be
zhLu<8HcllRgDqAx5-RU|NPk`-nVZ>;2lNakh)N>BhPz<p*DsRJ4C##f_rHG$GOVaF
z6%DNsC^R}YNvCtfdFjw-?dYO`?2wf&N8tmx+nyTtaPv|&^wgA-ERG@no4mRtqEPFq
zQ%6uW<L(dV6cj)=UF6(-?C<_fBSWYaSHIp*O{IJ~pcQc8!_nTMqCqZnDLw%6S*4}5
z{sTY{46=eES@&LSlJFRkd=skVqoP{%W0X6ip&M3wmfpnT&XXN7k>#405F4eNz`4oj
zcURx?Rnzs|HXK50^r&Wz7CI#nBr|cS>mRS@jJ%~5_~7{soQ-JkAjNG0R9iq)RLV7W
zkK3ep21!QGU!Fr-=Y7a3$c5(QSKhrUk^&73?gj*rx`9DzIM0w(?^`RznRZ{6E^A>(
z0J!=1jtnGaNR7WFcMNFD`t_k=80QhuNX(Dacu=&|FWoop@I^a+XZxCJI(IPWU5mCt
zy?e9!)!Cgvs7l~Ac<Kyofks$carnAZV`n&_JCQi)89XKC9A=a3ZYi_cV_e_q>@-t*
zzE|0nTdv<`>ikJB0uFbumq{v)R#swoIPpqJ7*ppKU=sDYc8yIsd&>&Le&qSt<^?$d
zsnlqzDn1!hWAo%k=SN3JtFR4uk>%T$pEwr#GThsPw1u?lnAouCwv$e7JU3k945s`{
z43*PVWOB$?e{UH5uU~yL{Nd))XAg8DS+Bff5HNcU_r50mK!4uk0?EaaZ{p$NLl@dJ
zL2*F*hsE_-XpH|NCtfduW-k9#Yhn6GOQ<D9I_VHG*?DG;+qmv8;5eYSZb(a3$R;AR
zJPGnA_N7H+cDMHTdo_g}gzc_}2>}Anyyo`!ElG|Y?7f&6FIP_{ak1%KTe#G7>6j!^
zoAL9Iw1S#}d}Yt4=RVZlR@PO-alpLm6d^9T%}(4|^-qu9>BR^h#=1}#?Rc)nD$&Mk
zk8j%eW^O25y7rr#0Qzx%SBdm}T@s=;O6^VDYMh{Ix88WcRc90r7-v(p)!#%Mg9;m$
zj?D*p$-SFFF|H3R1J-L_iSK_4t}w-*rmJ-yk>8E3)g$hG(LMEnTRKKQW5~*3s7ZZt
zo4=9aB*OtAao2FFlN`LGh^0iTlT+lf%4v*TNVJf4pLoBj_3^{8Cp)QGnW-iQV(#h&
z)P?8gPX_Ozb|1z3`vi`fy;7^hf5|1mAOjE`Uzl=vOr1;{YhU@;al!aC2jJb=nV-L?
zKE38R|C`%mx8FC!gvNCg7Ih>IMxULbE4z=_4&-V8e+c;1L<`<3EHW}q_Sylf6upyS
zFZ4=(?!(jG-H!j?2p`~3MY3n4U2)oJ=GQB3tz!%LpX1}=icq$LR2>5^ZI%3=`{uLu
zj@B+NoDOS$u<loNtK2mR0~YGf{<fUlb{abxF+M@;tDhS#*~q+toPrM}##?D#U%JMM
zL0fvxep&+nIjU2(!6QL`H@Tyf6$hPew9SUi^ew$tk>{(^S)bg+;Oq|;4S+L{<yt1W
z5WT=5C=&=-%;o<RQE*`^glsnGgU`d#(v^Z6M`PQJu1)3;(Fa@vAQ{EP`r*?3{P_iz
z2Al^QC>#Jo@zJqY>F9*YOp9gUx6x6Q#3RHdClW8aeziS<_L!*-e_+;E{w8$l(0RR!
z*uj56bzx{|2#;OKllfI>Qiy#XSwf0|ZQU0J$zP3e{?)!4qdKI35{8>1GM6~yaE=~2
z(`mOd`*{en5C_ZFn(NqsmTRq7ABli1wmM_X*zoFJ<ALJ`)blU3Udk6Ca>OI7$Udnt
zU|!cu(|M@6Pgv-dvEa;7Oj!4p(i!2Adf9*4*l7eHy#`AxTEx#LzeQS7ag2cP4<a&e
z7}fx$^2FJ%|3)1<Kt{;7Df}L8?OxT}F4Hp=`7ZginW?M-vrp3pfi6eNaAG3oA2~i<
z;xaaBKTs~u7E8Qs*G%J&6j$5f3T6;<)Z~oAZx_TppdxzJ4swm+;$o-}404p($k{o^
zENR5Di9Iy1I9WLvJJghcHnp+I&)<JiDpNMZTyjd=SntCNaT!_JZ77%|uPh!@23bcx
z(f>?vJ*VdZuknkwPqkM6{6V?b>wy6uEGv7NC3eD|j&8b(7qK$;GHAx0uf<K^p7ARu
z!3f2$4bv%yM><+NKkDC$f#92QuWYvIr;h><R7k*+jea#dow`&Fw;CTYJ}HLw+qERc
z5)V@9vSQv*><m}TR6l=t>FeQ*nDg>_fMmVl0D(bKTT>JIvP!%D&i?)<3OA=ApocP4
zI$*tWE^o<JUWLL&+})<x%gG!hMeUOvvDYv_kGNdHD48N)ehZbEDBG*9c>e2?ZG&PP
z<MSv3UPNUtIo1Ck>>U^h*)b%98Ir!aLmCDKe~&~%<=dt2^rFd)tNG!h7|nzUpIa1=
z$o;6r9;;kmj0X}zLqrNmA8tdIf6vRWN7|mxow`<NfnyX-yIzKkZFsgphQ5M*hfLmT
z*)Zs`<m0zKsj@C~p7B4EZdQq_^;~fY&Y08g@b2;ZGxLNqj^a^~L1X^VBN2D^A7fu0
zpLv;W;V4hSPIdUxb(hacPm_U}LNt%yX$aFR0WSj_;fgA?I4+}18?^X)&AT$4(JK!1
zIs`4+%3Xom|A`Dr64KIUrl-Lk4n)^m%{@=%cst_q^I0%524E1?g8>j&i?Mr7;4Ro5
z(EDXQaBNTD9n<Bx;ctT4%w&gu8OYI2mgUX<S^81?I@b)52{>tz<;b8<3*3qBbqKGB
zVnztfamoYn!A^o-r0-&fnD5fWu}IwC#H>}QnE(JGij9{Ni+;6b2YsAUZ#|FDj_#~u
zO;-&fO~wSwF5{B1`B-ZCLOTCj{k>!97bjSYc;auUX^co2(%q#mR@@dbnH%Wzd;Ft*
zY;qiWl&2t4i*3WVjDX*8usH^`o>X_*A3W0B8Z5sZN)Q!|lPpn)V$9d%giJVaNqenJ
zzjv0H4FjM4b_i$)B`dwg_C5w;@ysVm64PiaB`IxnUGFYXpw|_F$GIB$n|lwE!G|Ov
z!I?n<f)AGh>V?I)h;vW_tUGuZaifPH;u(Z&5Ew@1=gTA>Dj(M^uP!N@UA|o;G%1jQ
z?<)f2R%7rkj2&a$H|bgAa+iuz^}a@qEvw$w;`f*;1W5Mh1ugggTnB0{o}K|KKa-Hg
zVJ2J8O31y;BCV1fbNIt%?3Hz(_I5uGK%<`j=uzUw*a5jhDxpi|j`S{*pCbKnV%I<f
z@WE3SHCoX5Fya|ULr>_Hwa|KZb)PD}zHx(alPQITuuH8rBR7)v3vgJB;XyurFu4AA
za6r*=sy2ms<j=RbyC>vi*)Ci;%;n+~l(b(43Q!5&@X%13FVDsKQ8WWmeUA4&1B2k4
zJlJZ@XvH>r>6Xe(5w*Hy?&!-dZf-ptKZB+3{G;*v5h=W~xQIX3t?>K)Rf<>n5dTsu
zU;I$(NojSx&ih8s#S?89YPN)Zpg%#1!Dcw$`rgIa+Bslfqn;|?K2Z5BQ+UP?&Rn?i
ze1qrS1>tHdvv;<)&z(?Lm-XkG5h_0;@Vu6EI95$+zk@VU=Q@ci35;ur@ey-qgwVi_
z*&EAJQ%g%iT%13iOU^jkJ`<^xo+tqkvtTiQeIZ9yFJ>zs7fwLXwA9QH6<}r-b6NNK
zp9545He-5jWV+srL9o&fPfQ#>c+f*gV~DYkJpYTo9D`&nAt~aP=tIj`0EJH+4XgAV
z%*-^<Ol{ZC+t3@8H~F*fq1A<0y;o1HNZgq!SRr-+)?MR1sbOJZLF}^)34tgcQaSgg
zCCCsm`x??SNmLo1GANsJWY>S6?&p%$JiAMIZ}}VrG_4ST0VRY0>3;hdeDMg4heS_U
zu)x1cj|U=$zG6d$BS%Vxh?OuzgaZ1jlIII=>`Gq1c=ZHl67I&mi^XfkM_sD2y_7qH
z9|6;^^_X741`1)A!zOc`q_PfQ1l6u+fXeh#7+8oD$J`6q|B-`%k?<SC+Tbziz9mg1
zGKGI!@N2<GFVbJwQvFUxfhK~+mcfo%2wG0>cA{%d62Tq^We_)6!;&@&T8QxKV`)hT
zIfq0gD3zj^&OjrHQ}qIUiNlHdMANiYKkk)20;h<g<3iis@3b@ohKt>`Iq8};cXflv
zJ*xQ99Gr`#Ub;MPNoxTFe1Q))J~4s^kro}&IzMZb5-gt%-b-w1+>qcJ?l_ysK>D4w
zV)I1G-+OIDZ%5&!L$a$S)W3DWhJOSR6CM@@Q3qTFuYipi`zC%imvUS#6J!xp)!*xN
ze#fE6miIwN#=GsLaQ8#vN(bE2*ncK)Cz62h3${VX+mBhR_2+5{mZx;7GhP-cg8wt=
z=o}bi^b1vZm7qu>kp|c>Xh$lgLQeC$cTV8b0(<lRsj>Y4`9c~9s_+UT0TdK&B?ujf
zDiCk}lt|Sxxp}Wz_jYKgr_Uw)lHei4?J7*~ASn})y6LdCl=J4`rIZa4;(F_j84bkv
zP^Un#@73a47cU-@x#n1uz&WE=>*?U>DQaSBIx;b#tFAsg-S+mnif+fkD{tWkUWISu
zG;O86s;LVDtOg%b>>>-|Q(C%yFpOGhStG37_C<Q51_2xqKCK8{rNvvqZYQ4HX;A!5
zYgc<$sj!FgyXGTJJjwX_@h$_U+P^c5m49=A_amlqVYj8#XZzjU6WZ+x8_?Xr4xEjU
z<P()a09f$V@M0xufSKwPwJdV&;E*-OK!`xt&J?jZ5cq06RiqeMzWV$~dnfhhakZYn
ze;mV&2Ox#?swm9l<(szFG;yjzGrF4o|Jr-cpsKR2YxF1ziiq7RibRzpAfPBY89*gx
zkZd3bk_5@IwQX7vNlFw@$yq^iQV|glkSrM`N|q=faK}b{>izDmdh7oEs-9C;b<-{T
z?7i1oGmJUrn52YVuX2@YODIq>ltH`@Z`1(oY=9N>>9%Q!>y}pZn?^*L*IflL4r8*f
zk2KQwI+Ovs?Q@T%D`WRlN|9I(bB&n58cyvSV*eC~T|6E?V;-qnp3uZ<vMFx3dD&4d
z*##(M_dX*dBapvvED!|7l&ZVrI&gfNIZ+$ca7ub}{2)4_fcX+-)ZV*y*4ckL-?)Zr
zaVgSZWI`eVDHH4v(R&|!a>5(zO@@Ds_D|$#7}y(*RnC+%NV<RTr6ZBSjqYb)5Qiul
zpfCffbS=Z`nu3l@pCEq8-pq+WN0G-hpGk7@GbK*Ft6zY2Y6tHolA7MvNFOYk2HRwm
z(_LVDs3*JbrTlyEo<&o_PNc`rG3nsbr;D#@!q3fD@eVjrtvThd1sG(19jR+PtG}(H
zx%p<_tH1ExfMcCJe!QxhZ}M2^gGq(Ss*g(VO&)4LU(R>raz31|yG5QuoSIV!(4W;a
z=|db+Qd0c<yJ>sw8uEnq#H5>r7l*uNbbiX{P<vOg--m?g`N&>EsGiqayCu_otRO!h
z)YB0=VaEA%ZTafMq6eVqi@8aUQB*?!zw3)H(_3w($bf(+TB$w`U(#PYi>N>S;>yZR
zZNF~*4qF|fE(v-T3u7ngYEityvQWG<nWd*)-yKf(F+{e6HZKSeBvH<$7yR()6Ycxd
zlIi=+3Pm8*LYs$#Xg~xF;-~=vW_}bBf;0#5f6=IhK5;1V$1_S}tLpN~5_x%96htbK
zgyDY+x$NvMNjJF3CgSA3<VFGv#1mZAY>}gJ<3(=usJAXz+1^X*699+~A3mHRV>`+8
z5BX8L`dRxs3yQQYcUHBb)bRbAYekOF{poiV59aihdWS9_1~(zLfuW>gi-!zlKmRtD
z`%orD9(LXR2U<)phE&3N8rfv?yLab!Ly2G&b3>i3#)n+J2Z?D9<cFBuS~hle`?}CZ
z%TNq4q7DU2u&2P=fzqH_<)2?8TR^3S7l2o_{`}@%mGDLFm57HIH1ERbu8oha*<*ME
zlcc+_fWSODFcDUwr3)rH_MBhg9}yF)l2B@?`e%-zu7`z(0?UL@=KvvXRjrk-i`J0U
z49lCu#xr7PVIi|kiQjyv&$2u{srm{d{EWY!pF?W>yRRL4<qxv>FZJ5b2=;4#Ha>fk
zpYqO?)-)YpnRvI24qKB{&<q$Ec(lvkN!?l|a6$gTz*GAB(+TH&Eo=<*-?@oxdOZ5A
zR-q&RQ1G9T)$&GxKNO0>#<O31YQ8*wLurfs;rx!z5a_&untuIv`kNCS^N2P(>yLNj
znfmhi{Zqdf+xjurN>5!~9p(+Xp_OmnVs1@DSQxmaJch*=)3wUP9=ou-^r5Bun7!2?
z;#;*V@0~$3&bXo2T{g%+xxtj*Q|W4%vU@e?q`h&s#=DFG)Yx#QKYXAP_VO<%pMRWq
zrZ(Qz8}4jWuzJuAb^;SBdp-4j?x`)O&!^n_PERq$Ba?IjkQTOkmsdo`Jj*|BO<mz%
z_&2{PSoq@!lnt-~0M``d<bvvg!xMq$-z{CH$a_XY=IhmF_6_V4+t0wD9;S|rWSAX_
zh%>srU{q0F9-E*49ab~)2e%WNhLj*$g6fyh;aMlcfx%IlBXTt^PGU3`uJa?y?sn11
z$($bx?9IN$W4bFC3HmB3e=sucM7#J!J*mZf_3z~b|9?xHO4n~Lz&5XFL`KkrTz_+C
zhngqFN9cKiAu0cL*!x^;pq;3~!$-UN=9brGWtJ$QAnb*$>A+{xT_}Jj1r3TJUrQtb
zh73n8gi?(_S2wF5Q1Z;V=(9IA$W;>BwHWhO7QNL+Dk;S2ik=V82^SZ};i)}Q_tVoS
zz{^lIG%Q6KDMz=vjHhX(sX6cqKkuCvL&C}JKlUa`Sb^DCbgs+Kq*`>y@6r|Jv=1uR
z^S=euFU%g>bmD3q@7rpH6+^%AuMM|6v@f`l9}GTz{g|hLu$`~li-FKfHZm$Fl^dt$
z=6*~po)+S1<4K}hWgAOuC`fiZMf9A!O70{TS{owtDs<XTMfLEWZ0U;rK{@kRquO78
z5IyR!mud}fhI<RS%v)CeW(pfgmHSj8g5vQ*{amwpCS(bHYfbk&v}xN)hTbbC-mQOC
zUVfI<kMgHKTjv3X3c)J09+r7-dzB0Yp#2s$F3+lSA1!VEl-%GRabT2SJYodE+0lm7
zfUB2InHP|wglp5AR-lxce?NzV<T*9fgNg)3R?A3BllHmZJAX|lY%>rc<ed`k-=|?X
z&^&-r%1=@gRLnI}TYyG{m7U)c{(g+iHdXmfMCz`Kj$zZn2%OQYmrpm0QD#TExEf0=
zaaO@UGvOz)W9S`vwI%+s#=XHOl&S)A7`Ztrm)6D?=(YFSF|kAGB^&+?I#M^F@GTdg
zm6nESAxiAQ692aC4gKmRep8Gbub^MKbghgGqgNrof#!MrQg;yvi4yecA*2PWxF?>P
zNH2+rV_9&iF}Iv^GNVh(MY`@mi@m6*XjcAu>H)I(w8D^@@0Lf0rx54A#1;YX3|TH+
z%~Nk#i382isx>YT6#%fjDK96~N6V^vxGg1W8qd1BY@wH*@qL+|JHY?I^WuTkpqtj!
zrQ8gKuWL$jW)0o0n^HGV`pJI&$N?3<uMu7>-HZJQ4>wU<56Ys=VeltMfjjTt&f^3{
zMOu{;DWO)fMxphl-O0!Lx7n;#u#V|{?!3R_X#_a+N>QR;J;qYv61Ue{)Ein2y^S?4
zboq8L+H5P$D~h7`@2|RgP279&;|jQLv-Maqu!`1u)G%*+BNv?JM$OpkDoG(RH~ta~
zGftGOoE+u$?O^F*p21DPf%f)#FR!U0W9dBSe)3*jt;+j?g@Em;!X7?I_FsRh_WA2;
z!G{jHoBYTZFjwRU&;D4gR4DPF<(!7H0uV7YqETDDqGrL!97RQ(%y5MvWbuQ8npeFu
zGi?w*VwIhY)Fw**z8f?{$<<6Ki=im(>334NK%ZB$a5IDx09j*JuT6p7XMdIrF3<s9
z!(w5FQH>m3ffA{y2TvYsKc%y^v+l*0=R-i|a4*35(36Jf6LbR<>bnLq6UUX64t3U(
z-DeP)sb8b=qQ}0f_hQ>Yyo);gQZJ&+zLB{p-f6iQi=t}H4=WF{C`FwXLR_Vh+L1|I
z=j8tMiOGz9H@|#*sS%R%3Hq_6TN!4rm(8j4rO}cM-A#paS1BZ!&-V&iE(~{^Rm<LF
z$y4>-<dU0iezSOaAN5g@3m1-Ff6%6H{mAG;XYVt$rbIL4Zqf8!84H_SM=mGkY^1kA
zE)S`m1T>ZL>@d9Yg)TZ_KhALLk&K|2m|eon>GK~Nc@2(N8F3gC@7>y*`h3eJ3n}*q
zelxMeDV3+DOP2*7zfC=4A@KPdb`P}PL0R#-aYEx)e#HlML}-;te6>j?YxNQzXtU2^
zWMoWTdu51d9&22`Z#=^9GvAH78PV>Gf_#}~ZEQ;2PnEeXN2gCl$zR_4=!%t<giVh)
z+3oc|Dn4F2i9ApY1#2ZG6Gkeq3804f{r<h##jl-(Lx*TAO3UWfKNZcs3aeZ7?~e&r
za6EHCdfTmMccVJ;3^nB^S{hs99eDDZb2Jt$XfzFuc&7M{o^fcfXm0FSyr^5Wn{Gwz
z@CDY>3m>NZRpk{9pJC_dUtN~3cNr3isba2O9B`|fy`TnUBYWvEcupC*IiqN}AT$Y>
znQi#Pt3!C2;7C9qHYpT(F=1i4l84=f_{VBTB#T!Ai7a3^O=}D_$EK#H6B5TJO&gv#
zQqHy5$9zrAEKR}ntlGO!Nk@01>CEQT7=KqO=ZX2@q>J-02`Bb9qtt{ew-@atkyJpr
zTc28Ao2uf7VOUC^f5o}eGLhf2`nko}X}=X&J?i(py<R|4fjyT%By-|VnIap5PUix7
zHMBz_3Se`vu`r`Bmle3>;1#eCm5(;jXw()1lAiTg&^=2yB&XQ6<V-Wu{CM8AUu<iK
z-nX76MP~6>vxIAJ_&U7Q)~!-4OdLdXt}ozcQM+?&@*(35v6Z#VFLl%5?$JMhZ7$TC
zV`^-SP^9yLiKir8hiZLJTLz1${pp^`6fLES9r8gohZy}@Tl{J>)@9{H8G{FR4Qt$I
zUHWePBK4KSAw_m|2)@G1X-{b7opXGruh7U$Va(6@@;;^8Xs}t!XRB2g1;|QBqL30o
zrnQ=VbpaR{e~B$QiA3ru7}GvoJQnFs$gN{c$Ye%D^P=uzO@hfz9(RN8o~8n4gYNlq
zV}5~aD(m59(Jy$Wqj#pZEQ9gUu9ch5r;=06EnrY~o~Q;o-aht4eswO3E3|MS@Fi6V
zzxv9$7JAru+O&@v6waaDij9qfL+@yag6}zf=JEx9N*XQ%{XQ*pRJX`!y~Xo@CBjI3
zUwUuZ`0+rH#-URaqlQZrO*v0ZGw?{fAmw-G+Pk4sQe9bMzT2s{M6^cq`Xi>4<TFg7
zwsO9CV|H1$Zr=uD#%<p!8R;NB!sdVP-X(Ms+fo}#4cVCa;^R0uWr9!{z~nC@oGMvh
zj`4DjL_L;ozTN(4*Ygwg@y3jPA?=octg<B(bz1pqd_!j2O7~E1+a`=;Gb?JeXQ29q
zb}084_rArzxL}>Ml*W{Vj@Aa7&X?Cx_gR&E*1$0J9el-?I$w@+rM93+V)-ZW=2foW
z2<SS!fTNJPpvz_nDmvZZ<p9i1*GfgnGp<~fa(hrkS|N>1n7G8*^K};*Ya>+=A^kw5
zeb%$>$@%fLTh2qb1jjMyBt<P=ZpdCJtA)ppP9Or>Ft?-{qpg#dg?I+PPu9y_(1_*Y
zGSCmw=UFzQ*cp}}_lOG^&jbS3+#NK0hT<#NH(~V)Or2=nrnQO`^B^F{e%yJMMy0u~
zJz{XaG1hg=4gFrNDVjA<aD|FWJ>Qs{{}?pU&=$1fZ1KgbdF?N5iYETK7Rr*<SOEb8
zv;O(_wDW7Bx>}*3K5L@MnOf%c$B|-CAK)Jd$qY4cs2M!+!PFjs1Ud;~%C~<eoqR<a
zC;*d8UUYxv_A-63?`z@?*W<pG3{GT-(#%(GBKSav2M`s2u21My-`&k-S{sowHL&Et
zk?H={m|p^oFX$thU0kg9pV~w^b($ab2P88@w>(f`c*vk?v@HOh{gdU~ULM!MgzSqi
zu3(dOVHxI3EVSE{{D)I%<dih8jjUqeVD4H|dz$u&7(It9A`fDy_R3`o9Rp9H(gQSf
ztg_b^kBBO<-7{Wuwuo3@3XMZkDbTFLqM{v`BnlaPcr%ab*Ayotu7xARz#I(tIoYhR
z!HIa^y9Y2993RkK#UL_jrE_L~_6O5=P=O<ImOECb=l5AR+>z(PIjJp)2L`aRvN9!h
zW1)OWsJMcclTER_OvNsRPQc=t8`*e>*Z%3nMGRE#hv1&8a$}Kls{JbWRAU9lXm`P~
z>!Yrtbn|a>zRgbt$Dy)@s)0AjZB-WQ-Iu|op75bX^N-9zZvUs9TKoCTGgnNmifP7O
z2&{{;(Y2Gfj#q}LOelP=V!fGlpyP(G&Z=I`muGEeHRa_j$3>Q!*jklC_38VjrlgGD
z2cWHm&u2eze88Lx4b?_{2#}l&Q{UiV3$}J@p6;=2beBjotvCbl;2yF})~;#a9!U*a
ziX;`#3pm9dUe}7c7m=eIgmeq>%>h}o4shZn!1RM)3IVhm(C9=rdX`B|E>J#<Hf%Sb
zB9ZhH!RW!NhU}%MA46aZI_PW|${{%WD|*z@evi{%NDSI_pJ9}D8o6y0=at)&rjgu;
za_0WEr<HV_1+Cw*J6xnuDg%hr^^;~QRu;P}TD5;Alj@V*DLzjg*}I%{GX<v9k5(M=
z{IpWfd1PKS8=RUlLb(AVf_SHh?y>%mwHIm1Nz+PAUm2W=4eV}t8ZF*^^SJEg$hkUw
zWaa18V!2#jq>gHbw8#0a%nwMX`+t196fShE)9Fm62a7DAMfC)Q<B_$wzT{iC%GyEB
z1~4NS#8QuAZcM)<mwNUwOHNt)yJX4!gzodiLV^0xzIHeuxNHZ4g;mU)L9g>|$(AsY
z6fLdLpqKss2B{60HmuKU`}JMFeIl*;^GmG!D}&Dn>&C`_^QC$*O&4-!ddYIB#r?ac
zbEYe!%s#i!nH>POqLPwl{?N|u%v6|?`p~b}ZZ^Vd6Nd?Usu24`4y~JGAz;<fY|YFa
zj5bKPl{JjPL!^<-c*Dub2A&jT=*%gHty{L7wC)n-*z@MK-OEr$(m)4HPoiSvKK(Pj
zek!(iuUBHIz_5?D7K2^R$hUW{N&ggg&9`yZ>ZX^gLQa@g!WF}7o&y|54R4lPibPVf
zK`;RmhFdHxdl`K#gL0E-%#(`F9QVXDEtrA++vGd%A+q%KrAPS&^}fpb6#3iqrWX{|
z>t!kZKi=LY3G(AB@c#+IBDf7fay06yHc`Tfe@n~GEG*>erUNIT=863?s)bd0-+n8p
zv}E6xl5f_uI$;SIPhR^tKgNuX7Ud|>mfrKeJu2b!p)yNjHV#aQ-=#fH=<jODcXa<s
zy=s<{rX`S>lDHnfvYEzBw#IR!=8?A6KgH2i#;!08;ND-=8!$$(93xq8*x6;V`s$c#
zJLYP^v=RMv*yla1%AFQD89Ldf7~`Hh?8zFgXrZOa!mQmwZx*p$MDCe_rWmxv&E)bD
zHhiE16hm>?8dx>-6uLM&Your-Bl&}0C@dHJ1UQL;iuRIVyp8)}^|Ri#n&&CCdL3^1
z;9*}!TVY)$k*Q;NvejJhXm7`w_x{pGr?KWTuXVsY-PRDbAAp_%TH*E7o@7>29AQ80
z6&2LN1%LyhyY0Chmr>Wtv1oC&tqr^8z3Kf~fKd4EoP<PP=2))y6ERWKzLJkKpY<%S
zZEc|{brgpsGaU)-)x<sGx?8qx1vloyU&)(D`NL2&`HWEjl3-iRQ=seyVo49sE?L-R
zd<d8xiRI@jt@i#&z2!5rfh{TN6auCXav6g%GpBH3ti;S=PmiJ?2s4x$Rn8A>D591A
z=0{6GGh^fL`x=|p)uQeN&B3$irhl(NpPDP`t`ZUwRxIcJ=%DMiChO4>n;bPYQ?=VK
zDmK?)ZgAaNxb#|T^s4lM1CEkk`ja^#Q?*>;&92$Ud3HP*(9ld)8$^HXbBPKU@Iry?
zKnWjOjrOM57@3=d@E-2V-pL7L2b)oeLzg#1hXy7l80qLbu+ok3HYsiySBr!s!GQ+L
z7th<BkXuR@<f34g(&5*-RyGeZMCU>m5vk2QY_afwq)Ct4l!RW*E91tN*3(#Gn4qDF
ziKy9RYwK-rKUQ$Bep7AZpJ!}~K0loB{~PMbK-6<D9u=`+uZ7S*M17_fw5Gh;nUBrr
zc@&%>W<cPcCrWDxnji!Q$oIBT)Q>!+)82PX%I+Lry_)mi?j9Z($ng<t5yCCRPuTO1
zMC^j(zcpumUeT-dg>FlqOq6(LeN1-tq4O3Ix}{Igs?rHse)3wIjRB}2#(s=MT1<o8
zB)XvigoB(3H71X~zbLTC2&jKxmLoemd&j%{q9SyR*2A>pK$-^s@Ex(6d8A#0#wbIS
zPsfaWAVUS#gFaYEiILHk83~8%a<0`Muhmaax(I4j$Wa}B48;P;_t>#x5)!NEQ)sFA
z+Bt0VN#rP(ma<~=S{V&3?Wbh*L`Y!bsLWwJdPLw_8^=s;-j4ZXT8U$4JS96M*k+US
zO55g45cOdiFzPfYbYNp^)>te|(=U9H+#8?BKKfP!tD20&p{+h3I@;4gh(EQ3Zr{EI
z%uY&7Of-^uS5YyDFnI#tjG$ASX?6i1c#ztV4V7Z<<a(>?>WzZcY)Ov~GCP;_Qyo(w
z%mx~H>7aEdVXvd;L7>Na=^LDU9)$<BTPw7cMYqh#Wl{P}VB9DRnRY}h=7OR2Ij7A~
z4AhDX2THm$70(V@H1zZ@e;4BE;L2|QQO%u+d}uaz2u<v3gz1~2m|tsJpt$LIUXOYN
zRHqE}#5$|mVkm&;^|;nls+W}{Q?l6zKMHxuA^Gv$DtaG2!joHH*A=GSd5q*T0u3HI
zBCzHSU+fH+YwKNZyYPrBfoG5LV&+++qiyuP$sn0w{dm<A?vpicCXtGiVkAqT&fS^Y
z5=0G|evIk{q>zBfXJ&EH1^^RG{E3O<3r)&WwNYYu8pms0RB1Act}0y6==I;r^b`*Z
zOj}kIW(rY3w?X>ne$AANL#fOnu@vXI1QdfP_w#n)3zel-n=92<q;g{fdCr=wR9|WR
z#>XFnaL91w99}voT~k>1Xs<PwUD{)=Zu`3(G$tzFS9~F&mm;@BSp?Ba7cYkS>L?4g
z#qOlJsG$0SvNLX~jg#jr?$>iPInjFUp})T}uml_;E35RS+2O^J1{M*Kg1AiGwxBZq
z2T?7JjB*zqqJId|8E4L(o$yk|TJ}xe{r6vBE&o(SNZN<3IrQHiNxahh%_{1FCSqE>
zyt*sNuOq`0*df5Xi}?5h1&)X7GdBK!%b=x1D32A|2^2f&n$gSB>F0q;IU&_vQ(I_V
zyxHSK%xb@P;R7IJl~De(SxnBto45&Fkwx^n^nNk3#i-`9Hc8M}Knb%TIN{(-#9-@L
z(!o58%3x(PGyHO4*{rFCD}KVMjJ2DYRTj|%Tm$_HQw4;ovs`Q>(t9oR?|>x&!9P$8
z4nXGt)FH&v7ch9~7V;LWLl3<|WD91z4IuA^S=tu-UxUqTMm%M?#*+`!Cs%Rb`}g1P
zW0_?z`B^B8r?zyIW<;HP7&o)YLQ~y0?`vt0DD9)^cC#2%hgezTjq>B3EreVWaZw7o
z*V!q)GBw*MMSmU9Zn;H{V~WlCGlAPJ!qT7rOooQA8N9wVlP#g+K08!UIO4mW+#;o%
z95SnYyV^os&tpw_$G)RUMrCUri``~ogOihngyS5n>2zE#O~GphPk;#<96*U#dZ}YE
z5>R9lplm#jvLy~-Hw27guoR0fN9-5n)snBc79}ow#v$r4?Ijg?DjTJ?L;wwV{Fq_?
zehy9+maC0%vJg-7iR;@fr_ivpCEiS5$K*KVhLHsp{A&OaB2Z5(dy1FBIU@wd|8Zbk
zh-%J`d2gYKmUFuo32$(yS#wfM)-5jt$n9_I9j<2<b4)vPhqB-Tb>)*y<Og?QZh|5V
za+G?sb<j;t&YJoTC7l!eXkyyOqdN!R3GosRWwp&DZ-!}fHevzKoOuI2Ei|lIlCL#z
zFNWq;%%y9MwRCo)j?cl)-pZBf`e<BXus@zjasJyCxUOtuim2&^j$7_`)w~d}&qh7;
zpBbLGz+PPpxJc8g?N0LC)p_7Y6S=H~yVp>Evbk=)Ob~`FvPMa`X{qI8h5Hz2rl-AO
z$)GBVo~R*$L#@>L_T08YBki2Dr^8GQ19w`{fl18kfPgu`V!-I8+3k~eklVb(`^QNI
znTQkJDF+YsJ@sKq(WvU#MUBOHPmc<I@Z7b1nU^H=_3lVGK$#dM9#kdF1n#D52u9Z8
zGPz9o6U?UBOP#1W_WMh@?=W9JD6qX?A#mDbd8)DlI~W-gdUHa22T&<S&-tgAN~Jt!
zMTv-H)8~!+FU`x|2yzQ3;>Ec^+S2~G6(Y2_H%vOz)886<haJ9ssnA!T_IXMy1%jSx
z)bxh~?RTuHB+@hYC#mV0W;-&ej>|0V%bIO(@sd;P^?4MOpp&YOgkSra^j)lk*kK_&
z${C<i0B$kT9ZZo7LcGGt)kOE*03wIwVGrw~Gu0Q?Z$8DyTQ&owI=kr#M5s5lV|?~5
z<(X#W%DGA@?Bq`E@XNelwI<)>864NcV<T*xV=>3TD3!`@QvGQk%}axmRXuK_g0h@J
z#xIOZuV!^uO(7R)ROcD@$~D`eXqbdo4blFFa+a~kp|PPfl%Fu0)mmgX@uqj=ZZ6fh
zv0}z!`sm2BzokujNx{ZBx&#zA5#)y03KH7EvY6AoB%70PC_?f=x70^~dmXt}*YynF
zWMEN{;P2<rJ=rv-kIFw2UNc9GdlrKC`cMNgYe9l4(*jr5#iM!=Q(i#CU>1&YAv+d1
zpuy-HQe{j@S-l)hL4Jyi>J$?+N$60L@LFH#y=-*kxJ-AXzRvVVi<Yb?epya)x)bMv
zmrd9D;O{(3KCsVQKIMwnEX;pbUrQ_Q3_VsUOFgYW5hAlFE7!xONlw2aBRaJJih_QT
zuqn5<t$psLWu|NAqyc1t+0xh4`P$u1Hd(YpNCau*+-F_QOE=93!HAxUxaN$0f&7xf
zlNzV~jJnt0Pe1o{cYK^|V?Oiznf(H3hl6E{9$c$FlitOnt=+bXjQms2+pLLWh1QwT
zZg1;kPNeBFACfhx>2NuJ6cRWXvQv?k<+)I1@b!yb_6W9cLRzaU5#-&EgPjKHLY(HR
z83&K7`GI>6g5$=Ej0CZ_ue``dy$K&wtqTg$b+XyvdCZfd9OzgDwyOrO(3J8aLso>|
zVf9Tx5fK+S4)iW!Xm5})e>j(BN;CRsV1D#@a#5H2(J0TyDCzEu;trZh5S*Y74Hfcj
zR8+<3%(wikZur9Wp!U6(`p81Pvo1{JbK&DOY-1X3QyUovT5=*3Af_CGkkkREG|hL?
z{4b__Wp;DO^oViG@|xCe53Pz5a?|g8cl9f^-*+`mbJv8yM=b%-ZqiaV8Uqcnu(Fn*
zew2C~AdzeteJj)u6C$~sz;`0&1YuBHxm_@`Bj1SA+%DUx{<2$3r(hbmT{8FfwmY1h
zOx)>OEISmK-Fjr^Au_qx6*kWNzbRctP|CnPK{H_8Fsx@sk>Dplm*$PmgrnW{PW<?5
z$ARk7&4}ng#Y)yM$g(m<z>Ex_?L2EnSGtddap{QA^_xfJ5H>IN+6*&wTMDA$!~u#e
zYjtH!U7q{}4Y>#q0_|S3W4TCu&d5r^|86U;P0?$pYo`%=6p)0-ejm3Mm_<BIGrPjU
z^nwHuKKc?_S1YMy=d%q5iabs3Of})O!w6i~OL;v6<*}*Kl}QMFu`M}Q=LINL>SCYZ
z6M52{9|{Fy`z@1Ho}S^&?FVlFknuj>L3lC9od*GV@b|A@Ut26gqL<l8zv3BYIG!@b
zY`N0!{jM%B4q4igBOe7tENqsIPI@bh4dSkbZ`q=2^^$b)zGIK9XTCLiC5-yaN95@^
za3uvKt}U-rhxuGLp9|I|k5shK)(%X3=`w4IxSvFOuiY{OmIB6)nn|4Y&p$8gaZ4f7
zfgL9%92dW;b2AuYd1;vlDt{20JV2c$OdE)na3hqE_}tTXgwB09Yv&Lc*L>0=S7XXY
zwlRq#gF&HQ#V!KBfo{4^ygXn<Q@v$`-2a8Z!(jG<BvpX7gW@8Tc#E;e!SBG6>}Hc|
zhX2M7KyYWiedE+f3V_JIgM-Ip!7w`p2#!~}t{-qPw;hZ|KxmZyu~SM;4Q4LGx(k5-
zAR}~NeVv$?fLI;29x|V`Tt(%R*|R5fiVcG7^88__vA*l8Q(jU_1Hm?0iFq0ELz*_i
z4nw!jd2-7VtOM*{Ha2#4$fbZ+AT1*U=}zb-4G!#XPxHGZMng|ugkuG!`zLC44vx-3
zqepV)<LVZ4T-ma+oDoH;HtR{?si62yMSJX(ps<952b>a0v%+X4Mb|sL4O|}4lYZvT
z_(btx8cwx1Tn|SBM;6i%&l!QhP*G9>)4LxN6B7rt6lD*GnKyH_furqbXg2S)SC!8l
ztF(<zNW~1Rf=&af2gcQ<dOJu?BO?v5c+GsO(w&mcF_qZxL0lmkewV@(gXSi5OTN$V
zWIi6*ym;BqHQPqzpWj@7FV&<-zK}7$sgr>IIMow`c_m1sd`0x3eFBRNQ4t)R5Pa(W
z`*Wu!P8J6jcd=Djv~>BodgSsNI{A-dd}7S{k6}Po(CH0w-;wON)x`K(<)0M>K~-_u
zg<rkaEy?JZo=!3+;W5#ia9QxU0(&r$DHIrS3MUQ_gUjD;d~okZ-FcQ^Y{JF`Y1A3z
za37I4>&5Ufd<RYlc##ZfB7|%#!e|7m8D4*AHs%53nDSZ|dy*7#U+q)_J+H^mtqwm`
zjWi50ZiibCTf2*Fh4kPU)B=&Y7wDdhD?#F=R`D<(sW<m)cMKLDMllz8nu6vFMR*X*
zI)O?aTpUJ+pyAsxQ_X+|bNi4M?rWJ_-L?|ydF58?#G^PMg&=6i^GDVKS_Q}4aZpY7
zn3`m?(EVO}g{WRtwG?w`COzWP6b0*xg4x{`eZ&e)`?xf&LBs_3Nb%YwfY~(<Iqf%+
zb+aIZ?oh{t%OcynnZI@#u{8p}%3OzUn)`fB(6EF;T21%l6<by!S8qiE3PoV;6Bm8Y
zw=>)JJ=87E$XavF_BpI{t%7$#l53Yxt(&I6?aZC@OX;QhPho`0W~#ZVw<GGZ<KyD8
zARsv0H#9%6DG%*xDN(lGhmw-&i=gJG(LEFKXH_E#bT3D;nxo+nFJtYq4>PDRjt<du
zuU#izT=##H5SKhFJRzEbik-1*S0ku-xs~2=m>h!TjC5kp2KtHeW^Qf>)E2>i08HqJ
z%sQ0}VI|Ox5?su5b}Pb9CiJTy0^Ul~mTw4Dp4SvW%zTXN1U;Y!1i)!1GLG&r#u|FR
zHZe9Xo@<ncwR^dm7&%zIP#6R)?j_`ygYIRi_+I$HPr6rtcH``$q5YJFMKxb$N{`}>
zLu)rq8C2GkYwp|6#%h6SjJZ+o{-HWx2l6Jfkw%k>Sg7-&*=q0M95iGg`A5Fvicw*<
z+jmYRnLf44KJw-7gw=%kKeH|#MVm9#_U(ZK*cu?<ul;b*QwBg6uK~;mU=ZZS1s&WF
zpQBo-m3HyQXfr1oo#A2upcWwr7x|%jaHA5Mmr=SY_iE6%HCdUXfAr%d@<#$wnzGf;
zN8>Z+yG8G8F>k+C5XScPN)TOHn*FzB)R=S>w~@SW9cE{T{(0#VCbO+03{PETJY7N5
zb<)1&Tt1;a)}k{rH}{y|L@w~K40sCj==yq$u^O%-9y4iN4~zN72V5l9<KM6h0O`N{
zW(zttk?hn?+$R#gf-^`{^)hQ(=MbOqcVB!6Cx;!(!q4A$<pqMZRcyEV&v{TnZ9>?^
zN;9u@N;RtB$&OIgWSlH)raYd<#97;W5QtU8N%KZXIbtd~Fh2q`0v?|j?K-N&G?As7
zPEeR3vpzKy%eS6bxM(1jGyh~+sioa{=Tw}LXItQj2#ARwJH<i7jG}wa*Qc84TmLN_
zt-oq98-lqC>TnL=!Z&keG8-0umN}lPX|wvIK9m#L1>!@@PAchG<ic7&JxBf#R|U7e
zl0RyZ#U?qrI9@=$qg!U_&YF!R?nGUdZ+({5$s!`6B%$9-U|2?Aho(gYxkrLgUJ9HN
zSZ_|o&WL4(A%`5oYtVr~umsxdmbzFre&1zi{iUT(wEIjI5Wounsy%@`A}#B`qBTK@
zLS4iDm-A25ng++lR<Kr~oa*luPNQ#BVU@?m#s)9j#%5|v=xrSfbkaaQ{t83}vTRo8
z5!TIh+1F$C_eW@cW@ZwJ(m>R}fH8!Tiv;u_505T%v_`haQKY6?%gA=Ps$5@qZ_#pA
zV6NRh<+$`+&IITuH`dgQ0Xjh1&&~W~=Tt|`^v$$U$xIYmK&{|rv6>L$ig8&z6K^*1
zRA{e@9Lu@;glG~FYn1Wn_wF@zI&@w*Uc8KBi>-gQ)zfbf0W3YKzQZsyrhcbcsAXF{
z{h(<>aGTY^DGSxMe<HF}<a4<fo=Gk%x;;Qr`s{@12V2{X7Y86mAIA}IZMRJG*y)w4
z(brN;#9l%fUXLtI`tEL+wG|i_5Z#OBFO9a|Ms9PF$t7+c<yIAxVKTjhpVU0s3EDEc
zAU?I4inuML0g9>ZBqD3l)&_%dPgxvGAfDmkE?HG^nngJli;wzIlFIdqo_b~^i2AVw
zT6f^chzg~M{X1iRnF`%t^+D@Q1Ba8kgxLjOhEDTE(`wMbmDYa6lam}W=g&i9sR5)W
zUQd?2+crv?U`nD)YSo?<-%VT6sAx6zzSE$xZZxtbqEzF6R!Os_$*Rrw3nE^!%NFsa
zx}37`#Oq7LF**kON#2{eL`8Mg4oIzx9g^4P`YS(Q7)yT`K`*cVr<$5nBvHtxf%xC|
z^@Reb71jZ+fiY}ZaLbl0AD4+km316KXc(a*%p))u?lUmPBm0`IIVHh;$5)kyJ<Enc
zIFVXEduBqoG)MoUVETlZi?1y8yt-JnN1j#?Y!BM`G}*`EE3Jg+KvB3^HmOKFmk6LK
zr0x!gF|ZQrk-V}Q`{EO1gWBW%G&ngD_<{K@k`*K~Lf9RUP(y|}m<I~R*3k4D4uX<3
zo6P!IIfaGu@!!LhFtT&-GC#2{)T%G8R6v?;7%jnJIdUaT&3kG!OaH#YJ6hxrQF!6o
z-BHvz%Mga8_M=^Ttyx{UWd63r7Vd#}Znv0)j#y?R8b_ztCsZu#x9b=-JH~z<8;d+|
zL`i<0jLMtk;Stp<2=P%M|ABppo-K$1uvWD^6X8p_Jow>ux)xwkStGC2`B;BR*CsfR
zC*DxP1)Zn&TlTOcqh{?TF|vJ@fpMrEiV5x~Zn*Nm@hj3$mm_qqGn66=mj6))9{PQz
zhOgFiwuMDm{G0T}i=PnOi<P9W=W4DLa!tm@HY_`)4_QCNP^~@esBgTs6twAxxxp(r
z`;J?1M?ph=UU-_;bx$*rZ9QJNd0R#|L@k-Fr*W?GXZ|y{QH^-=<OvwwNMzlsw~<Jb
z2}A=cWNlInm1YeewfPloPxDu)zsp~c5BHG=a=_BwKX9|&EaSapUW7N@NCgolqs8hn
z+Byhd8c9qig6$vzh`O7A7zt#tUSjca9E{WlP(A|-mn{SIKL}B+nEDw;bE5nQBK6Yu
zPh<YC+X<466wy5iWD_aBmcYD)(4B{Yaq7pH%Vbc|#mGI>uYjD^O@$E{=)b<cspuzx
zr?_yy&-0AmSz|%Y$sp6rmcNZ2K29OpP!aVkG43I5`UOHaf=OBiD#u2L+9ljRa@V~K
z43=VUK>Oe(5pkc~+48<pljUMio&HA--}xmwo%9GqS5SGH<&&J*gB*3q6ga5A#KJ`d
zh5M|%XW*Vim9$cEj-e!p9I@;N^~SrzQ$haaGITnEin{@ZW#5pi35bIgQHVJCb$KfR
z;*t(>pdq{&wqa!CnygIm;AhuCoBP1?5n?c);^;{sU3$Z1EIn^VjLh3j0|+t5{!u|e
zc6h4U7oogt$sq4yBcftHg(_)q?^mKI3&;Ng)ORRE#ehe^B|3B^NdIUCQuyWZ?0P(~
zarH~~jZ-pkDxBXW+GQvlAwTG}QNFVI4_RRuuu#xV5rU3P)zr=R%Eg<=U;R-Bm8+1D
zeSiG%Dz+C4pB?C*#Yg_(k<UXzA-y`p!wBDn6GjUq#g;9wwgXQ42Be7e?$^hbtJs_<
zE&lu@o*_fU{ntn74ms`be<wYr#4G;&5vKV+t^kAa`_rd^%HZ!GUL}7dk^TO`TOCl^
z?;lA2{UYL3*mC_}`s(hnmHl4WS0yzTIY^KoA327)KhSN_n<FY38qL5ckit8EZDd1$
zLU=V!wYTV^1es%(`1C0p570l%UrZ+&klsJ2vd9^7A}2XDfek~%JjG!yNcVsb*ZGEL
zzd*eTdBKqJ0CeodZjJ=ZhGPs4(wxxMFd!cBK$5l!F~Rw?p-Qu!UkBtji@6MyX$mIi
zgKeR)x2g|u9f27Qf$#ztND$R>M@{~xy&1RiC`PnFR8e3kxlj!#A~j2iNUxIZ)fZ<c
z2}dFW#Tgu|_<$s|&euFU^zmbN7^TPe-RE1hnOz3{%oa)HF2bC*Ub`UxKbskM!LLJS
z{04~m+G2)qV~*1;$xrNVQBsn;#e|@PhT8*W_B&vpf@oGz(Pgj|zW3eU#e`x4YF6Z1
zwscKW;T9f;FH;=J{{+7l{0SAW#a^$NUd}AzX+%#0nMl4@zJEVy)iH-yVjXc3L)U6y
z=z(JC<Cx}4vNJ<oh~Fs<o@|>Zgs%ev0?;$k`>1_#D>>gWDyCgWF5;NlGNJtgHP)J`
zy*m8F@69y8Iab(I{kSr{yQ1$KiFE81TCo8Em0&i&5@Xz}W6pnFo_0R930A^;Rv5kw
zrK!N*ch%Qp{QK7)pliSjp!!nOvrGT;chnD{#u3;iAV_?htqs5P-7CcN&{m?3S_X9d
zhmz_s+G2c-I6NTCTk;QNI0SjZGx2@U>;6q7Z@1vr@_TPrl965sgV&7B7SYQ|Nq&1j
zExA9%-n}?Y!jZ^nIapZ-obDYxAdX#;FZBDhOj7z*G(wjK^=D7yddLd(A>6r3>c=s(
zDS>M?=pICH&rp$=IwQL0*ENYKPdJk3)rdIBS*C7Wweeo4A?O0Pf)b}YuCx?YvGkuW
zQ9)=eg}OE<;n-}-kA;cti!<T;{j(3+q`x6g%K#`2s0Un=+Rv6)r@E$>O67f9|G^V(
z-MsTyUr&~K6Z>^*2OOQU{^4d6wn5{b5t9kQ%8|T(TzPSkn2drTh!C6t9|sj{WF+eV
z!O`LwQuaFO$^BQvZNA@{-QESXhUj<gc$o~3j5AqpVGKP+LF+D}GX7Yh2ymWQ{khev
zTkr;HnPKFWjz~(bA=>!QwqUS<!aqud_!_9%p?%90M+JBA^~;x_-hxRUaz53K8|x(W
zG|@6wAATYc;FQRLDM$-p0ku;!zJ{>uVi2|k$|Xkato(CJcz;7!(f1fLK3s9ue<%gA
zZLI5S;Jz(!vU?Ey{GhhWJn?If45$Dz0U0J2t`+f8Pb)=9aq&Ae{RamEjjYmq=@$5U
z2NkYB^#ERL_+ePscQ7f3|G&Gyj%XprqT5bNb|$NHAkNjJ_JxXD_m9PcKi8a=fp`mJ
z*postdzA57U^^6lKjh<M;R*$7X~3GmP37?cHmPs)g~@n&b2;8P3y{|*uWC|k(bC8$
z;rjA+dDjPGAzqbK^|9R}HgJIdz5RTiHOIkoq`sim_iM8se71?a%NMGnfbIxs4D<#d
zVDSVZh-Z^kQmUKMFKC7}OjD`_z6yN%0hRp;;%$*cq_+-UAa3!LWFhow7swRY)sfy#
zRp%smF<`HH-};xF*473ik<`$;PS{{nW{K7hROV4e#j8$Ld3p;^1EK~t55k_8P(&Sa
zYV4dwt1u0h#{0=+gdsvb&gHLN_&2PJt-OZH1G5b~v_G}QwdULfq}}fB?vvAJnx%;U
zaq6@*8C8DX4~UWD2?$uU7QC%7bYwwVm3$YIK2SQWBvCJXpd7XXGt_WoYDO&)Ndy06
z2<O<d@o0H?H0O;+^K5@<u8xT?3s=zy>ovUp+1d?p{1wW>h(gAn>!t%4o&;S0wE)Vu
z^sRiw(`U45^z_nO3F69s?pj;rbhp9A<x0a)IOC}#_#m5PEt9+^d5McL;9^;On3xQa
zl>$j&FT34!25<?XUy@db(Ca4f+6Nzk?{1i(B45hU445eriGfdC{6}JpXSJsS;?~jD
z^szAUw%D}-Zo<mi!pi2~fm;B(9EBbcT=Px9p|f%!N5fm%+YH@m120>f5^u6^^4YCI
z;#Wwd^N@m>fNyKDs5QOcZpkEM{kZ(F$(dDqZCY_AmFI}40$89^LlC%U#bg{IIh^IP
z2YHb@4%dI~ulUqf2cM10`C$7Ht{E0Nn^_P&LI|hDSXCVl;JN=M49*U0c99ks6I>L>
zWgPf4F^(ZM8<5tAHId}vjT=13hu3$ASeI9u(0^X&IDtPM<36aj7(*}o!QF=vqcLLe
zPNz0qshT2@DDNXHM1$;2R6ligf|-36m5YiGU|}MvF1>wC8}%(Pno_Xg9qS3YFZ2wM
z$9|78I^wi(-ve8@l8EcU+vOl^1!{%;&%1INTXNfu9rl>*sgN?Ry52?H6XhRtm%M{d
zgew4zHHWRjuD*_cWEodMECSFfVbB0X!|ED<JrD9JuTkma;C8@>L=_r}b)O`}pxX?T
zd*HA!4gzFP!hCo25QWky7(#GOC!#$Nc|%uU6+lgqUAq3p+Fv@m)uF`wm-Q<KU`x#7
zKtG|_%4LxM^$TyB12>r*&~27#t63xrg!ipmY=3MT9vB@Z%G1E`q5e#;xRA4vkyBkm
zwg$op%oEQ(c_hj>sg3Xs0BunI4n`5b{_}?z_Zit}_Oi1`MleORYIK|+!Y&QbpC77v
zOIVuxO4ZZtkEVVZoAUsUz%9C2GZ_kS1XZLd$RKqY+*z*7aQ_(x9KjB)WB&<|{Q&kx
z3|hx#9Ul0`4B8*)>h)pA%Z>TF?WSQa(APbAuCaLL(^Y?y`M(3>u&1DJEX=RWPMoV(
zC3h*Sf0;SkHbUA5E>pyD{Nh5n+`}U;0Hq`J8~n1nS?X5|@(1zV3D`#1d5f61*u4v3
z%_4+l3J0GfWkC^}L%V?i%<q!bg-)F)B;F%Ht{8vWhrS-^ttP($j{G8!!5RT=z)zb<
zVQkkmyi@|0?AA>3qB6WhoScI=IkvUvG7JnZG=ul0-e%8%XtNFQT3Q{{(0F~gwTAyB
zb~q{T4rTRmVi$TBnLtYg?h@^3Y76BAsReisfH+}xO?DVN1VbBM%+?P>?%;@RL<nJf
zT-gU0M^u^;MAH?)A^m;I4-O|iVR*N(O!j-&6-MAIEi5b+%E7z(1BNHpQl~Pm@W8x(
zIqvt8Edr0OC(wY&W7q?+Id4{{B+x`*pRwpzDCYh9hu@2b<8NZod0>%oFGv8lqhA9u
z#Kqsg_-dsJtOWXt&%B4b1gDN+&r$AQxBME8*Y-AO&3X?wk7R25<Ka^kbr55qlGfMv
z>!R;PxQ_Vz3@14R1aiPvMD|-e_#P=N;DTO^b=s7ib$+$~7}lQl0E~!G{-EAM5UL~$
z0Rwd{>3W1xXzl1Y!Q*^?Oy~q*ECcK{RH(0R9O^f)0~qQdj5a>K2gLZc(jPPOz7=1*
zHS(nY=S9EcS#3lTP!M(WhY4+u;D+pWac6J;J!sgNYFZA)snlF2wjasvU&`vhjaBQk
zgEjG59W#Ors`U(Ow~U5gLmv!7Fc-&9w@507$L%BM)=JACB)oy}!7774ckd>S+wVZ+
zf4J5<!k1$uAV*c@8HU0I(giSy4pzoh9~xyokJ$Oub7C)}*zXCn%!$7oGCBMB4Bcxk
zgZo+#oGSbYHMs7suHP{nDe?SPlh9w0>_HAka6xf<;O~$7(D3NqgadC+^A6q7EaiA$
zBN~21@NJ39m*Ot`C6`Bl``CZ`hI|GcpP=^i*cn5s*Y3EN=XPr9NyHAn<K@1&q$lIQ
z!|bj`>~}QhdcshR`v8?oH!3T|o^o0o{eOKE!A3^e7iOsmo5yY~8TA_w9gbdn-WS4x
z*klUI<rJG{Ujr6HJsoc7XJqQOiKe-h%JA97rfi3qz7CE8HpD_X_;Fx%Tm;x5e(&@u
zVwa78oi>0-BlA}f8~{p0IDQf4nV^5*^zMM}l<5!D;QragT#94;SYhqMiTbXnhtwG4
zDGbyTS<}I?+n+W95n*C{UAE5pFic$D<IBYRv%JRy@+a*7xY?6i)o*`?Uw&Yx@S|)S
zQcfTzV@_q!$d6#hdhKZEVa7I$;<1ClaK2Miq{#=M)0*ZKTmv2hW{N%>JldF`kW~cD
z3CwRif8GX$1P%kaUd?AVl<6?TW8l4yBB*mZ5WXI-#BhSckZ@f=>(Ox_zo>1NrKj3J
zg&t7sk$l+eBS#PriQ`lkM-t;<<U@|WaJxszMX#X($G6qDA_#2g#878cxv}c8X?1Gr
z#<!O#Y}o<+bnSsA=y4GJ&`i<wSsb3qaFa(%A$nc_+GD7*h9|{~`VC_vq<Z>ydO~@4
zl=;`o-{}SpcQV2I7;WJ$Qy=Jo>B8if|LoBLY8s8`jl6JDv02Kc8kagtu%XU_y)`%A
zW`tltObv`wZ6gnX--*#FUX{~>0)!FmW0GDCZo_drwikhwbvlwA@K3m(WM&xI0LaGa
zult>L+Umh965%r`KT%~}m`H=(ohGBQWrCAq5B@q?Xa3?MD7-nK%YYx(-5oxQwxmkJ
zlK)OUh1s~0^nP!1+CS#&d48Q6;f-^1?ASEU-&FCe5@PnKdQ<*zKork`*%2&QOULMS
z?Kz}KD1j_R9hN6-iTCW&Th-fdhaTDZp+RMR;O}3_#T%Ek&@HFbu)_$6apYEzF1m^U
z2*C-OWlOtdfv5|B+>Q*;9-$Ak+FSxpFzXx*!5;fhGNN>sax~=kIU$!`wU__3@wWZi
zcrz+sS7J+pL=F#*k3WM5CgV6E!~^__k`L&kDAIX(tpoh+{#k<~0(yeQDJDQ7o$`Ek
z3*~`Dx>06QozMS);>jN*>INI1{}rD5@X(HhMA~*=R{FHYe=))Ti=n#z;<niA|La!&
z@Am#*w)a|@gjfK9=+h3^c=%_Y+<fuROB>dMl(y|xK|pH@?a%+hz4>SHz?<e5(*Nq-
zFZ}<K%&)4z^TV%x{@wpx=D+Xezx(FDhv8>Q@c);g*fKEeoObhuB=TGmNmfQlI^)cx
GTmKIuTgq_&
diff --git a/public/clustering_files/figure-html/unnamed-chunk-7-1.png b/public/clustering_files/figure-html/unnamed-chunk-7-1.png
index e1eb136d338f9507677800bd918dcb6486643922..7e92e373dd5e8432b4524ac70c5beff23b2e1523 100644
GIT binary patch
literal 40604
zcmeFZXH=8h_BWbPL`6Wl(u+tF5NXnbbWrIaH5(A=AiYDd(Zz^JhtQ;h^bRVDbV3Qe
zD7}T=A#k4n?z7K%&%NV+-!a~CzuXUd?<B0Xp4sPb&bgi)qW)Ns=qk-s5C}x1tR$xi
z0^vhIpi5sa;{w0HVb>mlK)4|FhuZSMS1=figM)*Mi;IVchmVhc>Cz<v0)oqzFJHNG
z<?7X|goK3Gu3aM{A|fUxCLtlYe*HQrDJdBl896yQ1qB5qB_$OV6*V>WjT<*^-n>ae
zLqkhTOGigXPfyRlz`)4J$i&3N%*@Qf!oteRdh6CLHa51~w{NqvvvY88aB^~TadB~T
zbKkjhhlhuUmzS51kMHi?yZrq8_wL;j5D*X)6ciE?5*8K~5fQn6|GucGsF;|TxVX54
zgoLD|q?DADw6rt?0+ErCdGO$YtgNh@oSeM8yn=#)qN1Xbl9IBrvWkj|s;cV4hYue;
zdi415V>LB3b#-+O4Gm3AO)V`gZEbBG9UWa=T|GU$Cr_T}>+2gB7#JEF8W|ZG8ylOL
zm_VV>zyA8m)YR0>%*@=}{OQxD78VxIo;|a)w6wCavbMIiv9YnWwY9Uev$wZ*aBy&R
zbbS8&xs#KVv$L~{i;JtPtDBpfySuxGhli)9r<a$Px3{;CkB_gfub-cvzrTM#KmZH|
z3k(c=@#4kHmoHzvdiDDC>o;%S1O){J2M33QgoK8MhJ}TNhlfW*M7(|bHZn5u-Me>i
zIQ;$l_fb(%A3l7Dj*kBL@ncL(Ol)jyTwGjye0)MeLSkZKQc_ZKa&k&a3Ic&hO-)Tp
zOG{5r&&bHg%*_1s=~Gr#R(5uFPEJm4Zf;&)UVeUlK|w)bVPR2G(dW;fi;Ig(N=iyg
zOUug2%FD|uDk>@~E32xis;jGOYHDh0YwPOj>g($p8X6iK8^3({^7ZT2Z{NN(H8p+z
z{{6>~AI;6pKY#vgX=!O~ZEb67Yj1Dw=;-L|?Ck35>hA7FB9T2kJ-xlXeSLlX{rxBu
zYG7bsaBy&FXlQtNcw}T`baZrVY;1gdd}3l^a&q$5uV24^|DKwfnx3AXnVFfLot>MT
zo1dRwSXfwGTwGdOT3%jWSy@4&(W|SgYin!k>+2gE8=IS(TU%S(+uJ)kJG;BPdwYBP
z`}+q62Zx7;M@L7;$Hy29=H%q$^z?M<v#}rG16Q6a>AQeH^g-Bvz>%{X79bE4NLfxs
z+cR-x+zZyfjXB-eTV3H@VW}m&{DPz83CU+q3Z613CA^6+TDB}$@d&pV#lm!TN`o&W
zJG=kLZdoG_m0P}(&GC!J#<rXRriU^x+<35R?&05hE3UO;CMvG=p>W*F)<)1#oZ4pV
zQ}@>P4)(Y`B|6Zr5WIT8ISVhVgVuvV_@K!D|HFk4vLE7Xhy8S{KAt)dkviT(?M?)y
z*|zL3;TTNs)VVd2)C}B8wk+?P8YK%$-g2X+d$q>r<zyE5)O1SbbFE&k@y+zeF@JmI
zy@CjiAds;KCfO`!L13;;uK*v<YSAwK{V~1xrG=%{!}qCDtAVBK7&g`$h|_FjkcoP)
zpDk+}69hUTf6q=h<`pwUFF9pB)=+I@(^pbnVyD}#5t;>(<STw!9K=JN)zX+j5)l4E
zt35K{I)jJ2MTS(_s&wX9r7+7exW+ZF<M^5mtigPxSGzKKYWBdpPI_l~cd|$p=C5DG
zH<Z3kM4k5^C(O2fAL>)7cC?pUz;#7e=pQJ<<{AYK#Kv#vpH7!{i_RxT47YbH-)SfS
zHiv<DW(zrX`hHf-Q<VLcN`kD`wW(MxH;;MZ4eLtEPB4>Tf`oZ3$%F((pK9MR8I*^P
zecf1k-}rz5VSS2c=*U>N8rnM>LX>3q4dD6#Bf{s#slwYMpRnD(n({;#OcJgl1@Wx-
z)yBE`pDUuK63D~UIDBj63B6#K%1BH+<QGf7S1S(^{cy~QxZ(rzw>Tyjy^Si}t?;Y3
zU!V-5+Uidt!zIY23Xm?||NX7fP!Ol=Lv30G)J%0R`Y%;`)gj#NN7E@S_0@yg_zUa-
zRc0r~j249$G<jpS*(%Xqy&<wI-*|hJdwyd7m*sB5F>b$gSzG8NwBc7IG?PL6dvG6j
z%d)zg?;=qlxQ3;;%)wZy)+CXq2y=3%Iyb)k{WSmW102_bl)~EWse?+X29}+GC-alR
zO`)PZm>oVx?*}RL?rH^fd#RTvJmkkErHeCJRVyOx<pH`x0lH9c3Ad_(x4U0*lXs@>
z4%c^jTobg^%KW(<88xoZ{nu7cYjcxYerD$$8fs5Gg1)qMul?Zt@2M4r9jn=PuQ`Gc
z-5vfEu?Ec_-0G5UG+BX!0?kQLLQB1Jr<a$1-!QMI?F^cZ2+|X6%zbc&VZ3J~B&qwD
z>nOSw^IA&Uymp4$s&VfFn-j|MyXlWHhe_sQ{}>nHD&y)_AI8w%UV28*V`(yDbX8mf
z#FPXn65hDu&M3yyL5~<LFFh%D^}Q{+f?69omC=KaneEonCvS*&l#(oM?a5hAfS2wY
z>^Spgm+9Jh-ZqDia<|N@yV1ppLr9diyNen8$Hh0QUOJH-`Iz_rCN5ftnHM*l-9J1n
zhmJVZy~ngg;J@tL={tF#Ci1B<_)6|%a9?P(9ZiCf-(F;YPV}A>#fBl589<+JDSyb8
z5<?@=&?`xZUc$U8+JCz?zw&oA?zX{bW3+vvup%ZkDMS2Q9fyU4*cT%nNyw>DjMOI#
zbbG=Vx8JL5YWBFdVoJB@e%<{a+%41UZVa&k5D}V`^@sIZzQtTU8@QN9zu24Mm6#af
zqHJcDn1?C%^Ap^jbK~|e@@=mjhG(h2j+qXvrn4{%7_>G!vLEu`Tl3?XtJMBpSk<`y
zJLIjv=Dz)x+bdw2)5d;i?J_g9WNmB19X*(??)~F-zZ}1T#(u4Ew&s`2bIpA?+iUdq
ze!BM0<85A3|FQ6}`EeGybfre>=m)2X%&M#o|6NO1gW2}zGslR%ZD(bPiF<-Qxz5M$
ze3^UJbrt+`u|x?9ZE<S<o~<$?uFN31JIVMoOLyW({kvmMtg%zTMsv~^f~S(KMz5tH
zr|(Xv9VHGJb1bTHw6%)ozt(rmd621Atk_A>IscxG$`7bfyG?ZyjoTS9O49voi++F4
z|8(xu<o<-!GPM!!<g<i=2t~KiTSn32=?qDn)qSI<+jZn(acI?2lf)&;`+z~BzF3yI
zMGO@_4o`@wHdmmBdmE~?e{DVth=f|(Ju94MEP`2C9VA!hFCkot>ej2!MmPWmWm;*X
zzmjKD0**(<1@;Ob%DwD!{O%<0VViHo=-Ip?`@WBR7;6Ncr#zJ9+^c*ORayluU6Yr3
zUr9lx(*;iSbrRPL$~in>{(C%VWTLs$lN`Q-h@Qd*Xux`$SIi;_`OEMM9lj=i&yy~z
zNTFw{opJ2uH5`$7>%8fGPsB0g7>By(xtu-X&N#lVS;{Ktn%m6<f69q{I$vp@!FfqC
zzuJ16#QwKdPIONof@8M4BYQ8uH_a(FW?fUyYE(B9$<5b~-*2<!ixfXq(B`hG`Z}br
zLX7!JsQbzStBhZmO6{4#s`~xL8>5H9Zy&sph73lu9|xfZ;~m;>A|g(UrM-0>N%%+R
zZ!Q<y<%?i{YmhG5F;<0H7n}>qCz-OFxV^Ey|NW%|PQQgKjf=?MT?f8{jyfic?_8LR
z7yfEcZaZWTgb4_FE!%rYb#q=?!QcHfW$O#hjjXbgLGQfuVbjeA7;2Te*xYFSgwDf=
zY+YB=lZlSSueBWkug^uRcSfLIgnhm7i+VfNZ;XhM){vcnJ~QL>&YOs5fxKHUCjtiI
zm&4mR_?LsF$DX*BP6)>jbc$6pxzv-AA4%ELyz?AlEjCyMxzQ#yk1bBdlCa+-;p_Hv
zawz(;qwYq#z<_8z{YI?1b}YZNrg89Ls|v?1TS$24;T%p7$ZenShYx#v?Hx}k*0xfA
z)?7+d#SMWW%DG2S!y4Lzj>kYq{aR|~@dN#%(cW%(c51KW5oZu6qVkTIP<=*HU%7P_
zNN8TQQ<Y)wd%@^<Mq|14^oi*~H9#XloT^>Wy!3aCsqx2uhzp1#>D&q<7cfa2<$f-y
zJ$|W%V1YE`b$Xw8<+aBRAGQ*MD8J=jDz_iFAWcnW^<mSOl(EFacaQ-`x$?C54Njaz
zb4lT%mzHN5)-SG|+MSvdp?Zp8yjIx80&zR_`>T2HJ#}`s@S!ul)oZWL6C3mXwdq#w
zu2wap;~vjr*7^bo2?0K>go#1Dc6x+EdfyFk`ceid$9xaZ<}eo@{KBBzQ9!RkZ~MXp
zko%3DVXP$q;FNg{{-vB&W_`lVYe>pPksH3JV3(x)$zU7#@|bX;0#&^Yfry{yI@Mjl
z8eL_$R2PI$OBkGcWEFZdbuOXG2wW2_y6SEIfdR2c+sUY(;5+92>yy2>6u+D21m9b-
z`O0eCetXyW?WBsX8ze3N)S$F7I(S@ZEBZb(a4<={X;>sTN&L2LV7sB`D3pWY)TKG|
zMrnn`uA^LWTKs`@GJIf~F#IR6N6~yeiAjK}{90&xn8=!rIdR!t3ra-maL3xs$jyBY
z%NJhg-o<O%;OS!Ywf@7&+Jg|17y;zqHcBETu;Js*R9#Zw2vkPK60sY&3ifs|Go1{d
zNGQ<L+{&HK_GBK6Ar!?0EXevqpj2_h<wmp`oj+?AckZm;h~5_|&to3SdTw66lWqk9
zz2Agd&%ib&Tx0E?Gt3Z|?m*&uF)Q(hdUnKODC@}0WL!78q}ydKh|1ek?hn^|ONG5C
zRu_(YIv%8bO~ggVm49J|(4Rbb6EGn>z3x8{R1kj0{UqXke)h+`@8+gQ@7|v}<}4UH
zEjI9P#2!HiDGouB2hd%`ImPK9+DHk!Y&XtB7Z<pb-}fpCd*6wYnBrgbqm5H;&HX*e
zkB=%lo}dNYB1ablpTSNBd}F7%>Hsh@ag(+ZVEVA6_?bcdW;w<#=rA(zC*^gb<<9&5
z0|zl?Cv4FH%n6SOeb{Tn*%+#i6?*lwM-$gF9Z8Pfy}O`CSc<BR9ex#{CweJGBE{P^
zeuHoB)-*f_RKA*V^t$*K`kB&JyR6j1JEFZOMV_%e{v#F8P7hiUb^oV##JI|D<^2RA
zj{sy(WlSt(OG-UU?_IrsJ1_1yuItO<CGuUV=?Uc3t=&$;L;|YkVO7<s;MVsIkM{y|
zPan89SAVc;JD@Ets_M0hbbG=xnZPHBmaRifY63pfE7{**F~fZf&OPXg3+Qz;vOV~D
zWv(&SC)~mWXM0d#baDDV0S(D6^k!s$I42sqk)+^rL^)vM=cfhTGRZ|Xr;YUIXz50_
zV};gstA1>pdVn2X@w9;<=7L0*eq5opTb;!_u_=Y|4NgVhyK5>bSht?}ky)<?HBZaq
z(o2P8oDe3tD=!^;dZ*Ri-uRt;=1wu7a;X!Stdn2zJ3j+9CkWO;$0$(@Ht`VwU~O|Q
zb$vXmDZcS^J?Gwno;s;THi(EJ{y1@+)rs=J=}|;L;Cy`K67i6TjwC0#be;Ya-^t#5
zJ5?ubP9v=_>*va9GqmuiU1^MY<fxT6HzaeAv+;h<;hp2U{K4tXt90(o&GrZ%7!CBH
z5DTjK+kMH^M&^^Z8+yY9LuTzc-QO5}Cv>P!t6Dco*OwZRa83SS`I8uQQ#7NLU#L@_
zf;50gZRBG>#`gFqgh01cf9|KHcLrW-FFoW}L!C*cHyYU(DzX@?0^4pw(D^phCOCp8
zzR#3J;H}Lz+`VGl_Cc1%j`}+v-jnWY8S1IcGsN_`&voWm=b@+86?8FJ`noKz^p$$%
zgl^M@Z*{plevjG<PRh6uUn#Pc-3$nno->a3`3W}FTtW6@F70NysT4>6u=of1i~_Ha
zp!CquTH$OuT-S%C)g4-}<^X6^aeY(17b0ayjO1<>VMj=|Vu=7U{EJ0JLX;1ecYiv%
zBdN=nL>qIpBt<O38z7*0@9~|-6I+`u=G&AZ1apcH)-)nI2j7qFKu`gx`Bn?1BL^aB
z20c8GX><GKJ&7Otaf&uMyQw$i&xmlER=vK;=e#zOj3ijd;Jq2J)z%j^c(V@Q%GWx|
z&qrt8(2EWl?Mu!RRM3^J)M!@}j#<DYSI<NmS}@QLOD^>Y4?Ipu$yGXaZB8>P`tm!c
zkAq<DvifxB%bkKm5}KwUnk~x|+QApg^d=gnC*_VKMJ=3==z!D?t07i>fAMK7Y1feH
z^m}%Fu``E{+M_LgZA}E3QIvBpNgjJlO^ykN@+AanF5n6_c>T_oLA6SI#b}wR@oe5e
zY&>ejGzbOs`{iPUbA&8!%wH9sc#la^;t3GFFM7prD`5W4qlm-pDdzFfEc!EAiTNyx
zH`ro%CqpuP@rl)v6ol?7!V1y(e8Pk(eos5P-483P*ZIu{OxLC&8?qGGqMl_5&^3@N
zW2n8Cdu40bPT|@o>$;;^s(k@KcBW<*<D%l;U8!uQCKY;kV1SXA^IDU23LT={VW24;
zo2RaKv46aet6gb*0ClL|oN9OQWjey0VJJ9UwvT~2W9r)ljs_*1cg99dw9(DIwS{pm
zi#sF@i;K&pE^jO7!R`JY!#aE7e##1=OO!J+)(EGAxq%lc`Raxz{(I#v{$A5iRQdb<
zfYeh7zrh!(ybYU!-M+JBf<Hr>2@~__`ZjwDTpWGv>Ycq(kJMjHx&J7xWz$&C-)+pC
zKrL`bg6wIvMK)i5)eCX#8<t!cUsp3D{+zYMs-t1qFMl8SfkPJ0%JY>dq;qYTvtiv*
z$uD6)zRrj-EHeN5&l_UTaSZO`2ueJlN7$03;DoNQW5_ZEwNsQLB&Kg8MXUAXZlC{k
zLwwYFMBM-28Qww)-sIud*s^?I&*9{*xTvKLJOV@%`JBM2Y-iAa%LBijoI@IT<aGoj
zjv3PQ5`^D&4SW^EK#BnUBK_a_pu(;Df{&4h9FGIGf69;`P!kh;=kc=NUjDc^YFBi(
z7)L}`9p)f)dJLtk!W`GRo`4_G+g1$E&qvy|)|co3+u92p!=QF+^)>aw;=7|SDuDHc
z)WgMyg8BJj44ZW=t#6n*4#k%r-d(Qwk4ccWWeuNN`-qYL*Cw@F1|D2TY?+Uk3?Bcr
zeI;lY1sy5tm3|or!e7s07FaczD3LXQ@fMNAq4I^Ogo2H9TLxZ`Aj8U#V~d4uA-h?6
zt}!8O0hh?ZSHHYtKq!XMnU<|mSsUqmamOJ+{^XKx&VMBNqf9x|{}Lf~2^Au5B&6<H
zMS0~{j~XK1o$WQZf~Ea&##2-CsZ>ftWJsc2fpbHPV@I^waC$@TR@cjJKW|lu69=15
z&WP$cRjosh!c{4|KuTCj$hF|gG4T?;h`I#PG5xK=k%8XZ^iu5`ZIY}I@Qq%aZ4<b0
z{x1H=l_c+>K}9y%=gw(OJP^ZAdbb8ovVazhz<~GIw7z);0|NS1$+e(`Zgs`q{x|LG
z22V$z5BH`Fl*E=3*OVm}{~=v>HEkAUqQxibc<erRxe`?WAj7O>SkJ_L?koK^o>Ap~
z5z8p=0Ok?&80El%j+F3N?e?I^@nYuJBt)*!bD;<x9&7Y%cKq(T9ZdJ@_pFZ$4CihJ
z{(=(ROZUi}r(z&mfrxT=u2n8?c5(8ye+`~hdxd6w%fj&U!K}l`ZBZnvoPuAWNJR(f
zVstDi5~ob_Qa}dD#CypxWi@zpwTW%Wbp+^|HMpj-#aOpi-)HhT&<qKc6RV4wm?cA;
zQi|U4n=Jzw-@5lbekAeErY$Cm3Q<z(Br|SW^-^a9);MRBCwR^>Y9dxT)>oZ-v&IZ*
z$}(^1T8+1m#d7qiD3J=G7*h9F`6T(xg42H7ZI5Tr-RA_1N=utDljmE}Y@14(GVE~b
zq@Q++9Gj*JDWit_g)A}ol|^<W$dA05DF(ev^*fA*hMvn&>cdU+$FhV-50`u`E_)V8
z4Bw4XbK_27S>D521wN?GAR&~{irD57rEd390?C?=Ui}W@X71@I4(Z(NwQX5=VVs`>
zHGG>SVj$9ZU1gKu7SMjWvslq9UJgPhjkyjyCkPclChN;UaqO8ODRl3Sefo|1-!C=h
z)uQSXhD$$Zp|tp|&6$p_;<dEXE#&1)v$yUDf7-Go3wnYno-<b21^Mx?Ld?AZLHXPk
zNfH_hlp;8ka~A<Gbsl&#?b1ta)>5_}^}8Mh)pL1B?<2-(3j#ph)&cQtsZm)G=zJa;
zYUBh?;D$4$319)wcB?0qPS>EsIjXOIg(U0*0msYFh=<vKTu2I`UDUewMtoRzCT6%^
z>vq02(Rv{dp4E?F@x}q#wUs=~0Hd&vBWaG*9$`IdQ)Ek)$|rOsDppM2ucl&30KCF=
zJp-^*>sk_5IL6pjtg>=Fa<uD7*TYNM&$hT@mevTnQKP#c)P%1`tM{95Q0I-+nI~}O
zTnn~=OE|8k&YRE18CVEzc1DV++?jq%fR5DLXc%U=<?POlX1Gpe4fc*iM=4RqQ-7zo
z%h7|%c|U$yhZ5;xK-3%<Y%U4d?1IMoWo9}%EL(`xkDjypl5w`~&q_WYau*s`ILTQk
z80YT&tL)QL_8BucI)C@hQGy@BUg`9X@1vz}8q#oa?U%%Qlg-<OEhf(fYk1?pBfU&%
zjrevIDdP;coek#5?-OJTjVW*Ovf%bj{8~<V?HJ{PIOKDT*jXG>&OM!;S$>4RrB&2T
z3Dx35-(#0EAzQRE9!<D)FRNu9r|prq(5G}cg_}I+r)9rsQHY=YBE7cEdc|W4HIRF_
zWnQ*$x%zi+d-;bCJU4L@uY|l{>H^2pt<LmZg%>ZsCmB>5%;PT~21%+^(6}^n9uhbd
zaXZ_F<sZbeZ!5pI&~neUUy*i;tA1X;Ycg{?{XipKyHRh(1w4CO5)z{m(lO92@=<W4
zkllioxp(}SWB&biq;s<x#X+Dy#<blcI$8n7OS6;V^s(0&9vyZRT$eaDqy#^#jUdk?
zBB5V@chbjzAa0^xj0yHQNzx%HQ#2E<EVyKq8LpDJn8I6PKQ|5~XB!n-DoEmTewdbu
z@wXiR%O5JUVzl*rm#o0Ax0i2#H(}B^*I{RN7L;0MonQF)X#gh6iv)>-URZG1+-4qG
z91G;F+$k8-=evE+ewFVnI!@!^t%m$0r5JL{lZ+U<Qvp^8b*P=+_mu;efC)qK66)K!
zy~NFheT6l1@kiSPlPfvWi^|lUaZ+^?b)+aPy-CJ}dKr#;O~veV18UMOmfuGmU~Nq1
z!shLdS-LIm@ZNz;I#}BO_C!NNceC!B?%u)-boWL4;A#BKW${BnV(n)b_<@bz2(#<U
zVV~%oB&BqtcFq7dIp-NQa{8PXZF{=381Y7niRQBVJ9m;!t@2B4^rnk7x*X8T#WOU9
zjTw7Gxc#P8-vo{_b;o}TW9V`^FJ<fdvH9z|-=7d;PH5sOdn4o%Lgy%`xYRh{bU5E6
zY-O3b`JuYmmOLEl**8|Cig^IL?m~>*4~@gn+9oth$J_1`W~~g|$eZ+=l5MVjTfl-5
zkBT4h7@6O6jM@wIf8ONe<63A_i4M+dC>hWfnh#3K)5MRS6nAW75JLN`h@dsnZ#$3B
zWj8&KrVik*+S5gi@5XI<PSq$T5Frcl_t1@$qD8@v?0Zh6tG8^@C7&GWl?3UR95TU8
z6>JZB(0K}pQa%s#;0%2C9q}MuHhJKYZX0Q)d*eqR<0Huzt&MMrJ<-HBNv6zEnOT}9
zy2s?ix^TG2vXi@H3~JLbBtp(C9=&AIl615R`<OC%JMT?6(8_EacrQlk*R~b)ws&!>
zf74t-ni96o3@OFk{$ySv`cZTIn3YF5hMh6_Q<B?l#ubjV$#m(_ih~$=8%}l{xy#^q
zdc=Xr>q$WcpHrZ%zJJ>Xw#zTY+}PM+uRD0jUVQB*Snd*dNfaUyPBA>;Z+Sdfwv+ED
zhMN4g{KIVTUZV^XKcqzZ7a<~?6k#$Cbl9#hM*BY)7S~x>w}!hPDpI`}6>ikd&^!?3
z2h9e7c5WbS-vn=;+^t{3fsc2N#+Ln(&^+}jRI*&&+A!Dh$OH$!VAxb%jlPNkg4&Kh
zi=R~6$_n#6g`&vMCs{1TdfSDwIwLM@6Z1t0Y4tA~$G4<#FDHEz(>FdWs0ai}Dyudz
zzI}AB@u9bqIQo^#w~iDm8Lk*wW9ntbDLS#84)YqT2zV#kkPnD?BNnqfulk7yZ-IYt
zFgCx<Q0)m6rk!y7YlO1AwfuIGmK_n~z$-i8A@7!Ht-T0jI*;nws>b;2(LCnouHBY`
zouT2l8!|jUcL>xrL{$7qHI#>a<<<%S8&l<BI50v?qZ|Lnu(QolSOPN5bVe>>s7
zfPLaPWuSlkr`9}D^habT**`#OTG202^=VsHhWmE4@eZt~8Ak2=5NN{!!lWEsLsGwO
zTWYQdAB<9s$!Lh2%H+g|>v=F%Aj+V^Crg|@{d#T_UhCCrjvH0@I25oXSr~7~4>Q{j
zxZ5COfq~<;MCDw*uIE>gFQX>Q`u2l+TpC*9T7N{zQQe}Md}0{G&`q_j;%pUX0{1-$
z@E*GaV8JeC2(>L~`pM(JBq5RS3z`$1+IUC22RR3vuOh)EJ1qk9CZ1EmEINF*ye9xV
z_hVjtqmXl$GO=$X0^e0k7T=p6Ik4^|#BZQ0=a%Doljt{VVaYHC09SP~696J9_@$P|
zt5FZ@Za55aLb?sC^6Q*FwyY`)lE@_s#!Rp~KS^_X)so%4)BI7CrCxaM=z+7<ux>8(
z%}yc@za=MDtSI@wTrY*$;|<-(yt=%2_QI5=<xErr9j=S^tn@i=F<|Cd;LN&QYE%d1
z%M<f!jVwVF^`uzg#DpoCCAa<PCaZ1+wt+BVvCz>Iod`P%BhJG#gQda6h;+I4Yoq0r
z`{{(E;+bmlyFA_(53GrHd$Vr{-`Y-*oNWp(*9IR>HuC6KJ^%fPg*@VCy8P;6!9syr
zgBqoJKY{wB%Az!*(#*UTw&g7Yod^*AU-N8`BYiZ1+^1#ft!v22$4ejUu1gIpcq6?n
zC6%6roNSpZS4MB`+MAr{H@=CtkKFGR+Y{m&6xNk?|H|E}Y=}bvflEvf*dV7Ib5C5_
zUPa%u6~$i=(y91MkoU$95%-Tn0p%%cp)2pI*p|w}K@pjb0YCEVD_8%zFVs_ff@hyO
zQpgWSLtV$nRof4QLWl+!Z6|0mO>{y4+VtLoI_It<)IzmS_ES9?QIElsN|&sTEt|(v
z=ED-BJdZ<LJg7$R6g!%2>GS7ISR+geCrW1_)*b`*>|5VoiPoDP+6p*zRx)OhRU1oO
z3+sfya6a4CgXnKN*ADyMrbO`3B#df2)t}lRU@_KKt2h0;U2Sh{Feu-<YF&D;Em`g1
z4?rSfB-!@Zn5`HK1UwXd3$hi5Yo7ym7?}TPcwP3(pSu7KN<d?Q9bP%z9kyaFF?NP=
z<^?MQLg@}49lk(C-1}+$NMuXCredbj<~E>l<2?KYE_j2kPc{#Pk3!TifYouF#4WbP
zI<DK=?i7ERZELsxC}WO0NXWQcFxVG9nHvY7X7>UrgrS)xrl807i5>V*=Jm?w)G%#B
zJy!;`Q_%dU{@utZY0K3P*X8f1_ljJ?jyxs8jXDBAow*`GNnSki8qezZRIZs_D)s=W
zy9<g~<G%N3W_@NF&a&e{>$oc-;rc~32kqD=l;_%d|3Je#=pH3?gm-UMV9qSd7Culi
zgwEu|2BUa6AUj)K6I$~r0!mLSBq5GuIoGTC4)zly%PEf%U3(H2o0jDn9y$a>xQcbG
zE>)TQverC|;?QzRZ5dGPNS5B4ub1bdt|`n_I9EqRH~(@g$_S$dVDj<De9tSH%O^&n
z%vwhwmHwR77}QOV;3Y;Q8usbF6xq1YFfCm1(;hz^A*>X+0dsi0F^Upg6~>@F4PZ+t
z{xMO#y1r|581MeFwc^P#MRF~~+^)D|<;dg6G3$GGF`WH5`(KHEqI;@y$17M154i?&
zRRGtmRaw+IR@elfCjY3kO34!Usf<m7`;$^w1l23R6ia({Tiw?T*deDj(LJgM6*6;k
zLs4|JJePsEG-nL|{lhWS4M)(wEb&7ef?CNZk7aQy;Q3gT5iJiMc7-N<7+4XF<BD>)
zx6rz67$;2fad+PDdZdVSfY}PyPs!Hu9-yoS-BIhpXguU9mAbEArF#{*zjTFVoPg1~
zO1P(d^-29V%}5(K+QfA%Dv_241f1)fOQG?ksjwVJkRf2M${t<Gzi1*>?dazg39p>Z
zCRi%zsRNXMCrj6r!99RexL;PPb%E0!_G#FzHi9!!l9LVa-kkD&i*b=9a~M?>dnS-c
zILd!M{fY4SI<u7w5Tvr4dcwaYF8p%t==|%OCw*-C7VmL>pMC$|>t6u7a?70PK+^Qo
z+cGACINH`ppmnVv1j%L^DFRT&FFqU!(8wL&UlJ^kXiq|teXB@B<hmvkB>J-Y7ezd)
zGACN{U+Drbq`s*F;TwAmCi9~jXy3vON#Ln`9ih?@h;vfSyntJG>#{n)<2nhL#wo!O
z=T}VSOQ|oaFD|z5c;KwJhayPU-vbB7;^H4S(OG>bMZf|sBZF-ZuEL<gcz&=LK!4a)
zjS6i%Xn(fwKUUk{xb%fDfcOx^cjbawg9f}`)P>&^>0E$=VsRtxUp!vh9Oqb8=r+iz
z4<IR*AAFKZqxGGi;Oc&mC^8u6Kb&4ikSYq@{vtg_a1~@v1J0ELzKBE;`1!_M0_T3G
z<M@>zed+wm*<ZTPzns$s91aZ67p7~0s+?^O0-n4}K;s6;krqdADZ3eOf9@qBa;=vM
z0{+5^qa9-N5auXFe7Mg`1bh)y|02>6s6Y?Cy8i|gAqG&^Fif$%VN3(~1OP0!G$O97
z6QN?$-u_vLiUm!oM_d7o2wxnP-Av&I2)x0RSa1nYj|iSs|HUQ{!k!fpjV0iX%|nf!
z01vctko318d|z3Z0{#EvK^L1q$O=I8SoUOvK4qH|Q>+uYAT$(VI1S9eL0CqBg+Rma
zLR{MBp<@4qec<W;HwR&544e+DhydxN(UAY5&E=P;2Q=phXif~!91)ntEnyzK-n#h@
z0a~}GgM2q9&ws%hjxS(1{ea;(UPflydNIP(2Jp@_bzwM{aMxS=WEdwiWnf%bjlU5^
zW{=(l!PKbm|Fz7<7QFvd6&d7VeQv-1=fr6vGnfZX3;Tbok^hlu|EUow*LoVJn*Zb0
z@&7qH_VM^%*iWyW`O|sCiihI;isDm!9xU7<!#1R%ap9CVTo8@QYZClD2M0~1K|9L^
zDCAyM&{z>_{u<Jwd!$~=KE<5T#i;6VuE__b<0xs>yu9iM-1Wmoun2QlGJIi-A65L5
z)*;BM5CpVttK*6%pYa(D^?AP!Ri-sQ90OdXvj|6hKaN4bO@~Fqi}uuQipfwycoAgp
zqhMqM9+|C`jU20#S+@2aoxR>kiWsz-PPnbsCnDjiHTP}aMvg1!ak6klX@zHE4IcrJ
z8-Du>J#8LuH*~+QZ<I!4!nEm^E;JvgMlLNfS%5!$J%)J|Tw|oVr{8H{4*&Q)#)5ZT
z>uHL|PV-V<d6}=ma11UG=Qr+y3dOA0Jth<y-aAzZ?U7ZBZr$*G;KPUB9A^XuzGW?>
z3d;`YhweIu-$=@M8XYSLLJ|v>+Fyfo%m9CXG#9ZQ8RFWKoYUV$57lH$1Fml6Cbif;
zt1W6tT2!SDv$HI>40))#Gy4F>Rj`KpC3=^)I!NoZ!az>A`mL|T^mAJ7d;H5c#*8dG
z!^E74kUsM6#Us?g;mXj%_ezS(WT&^_qPY!50J<{CnS+!^iRv4-ygAY1*)-E#D`y!u
zT73#^(yx&7R|(tN&RkxWceoeND5SFEbGE7c5y)tVOn;%jQJoN3WTaS;!Dtr~vhs1F
z?|Alo2qjBp6<ul}SWNS2GV0_>2FtW+EH7zDQrUJ`dHbA4Os*lyPxQjyTVrv@<!87?
zoAl=l$}4N>v5cO#XH}<2dZ{aq)4ut>9SWW|K6F0MgCdLI!!o5>KD)?H5T^KuK*|_b
zJ8Xs^io`~~M9Oe`1aDe7e$F2~G9P*t+uq66w|F|T_T}-@^EroOHW=9-OZ<N4z*2jH
zLSJ_yLYlBd-ePoZOExw3cRk7_&FW4@>SX*R<n>#{iY9tN;jpM&;5&P%cjefivDskl
zHSW1<+Z&f|zN=bv!MMT?Nj{vh0z^~i1zzW*O1QOSR}tl6-_-MKyhTyDmHk0hq%MdQ
z*AI_V63|X_i$z*cUc78FY_RQ}gY0RJyLsid2<|W&eAn3@X3;9xZD%Q`rSz)?#DmRb
zKClKBvZMYDrn=6ZrgcE1eeR44Ebxg%)jjI!P8&z0`@En0*@>uF7@aqTenji@k`|@;
zm+J~}On*?eEo{R4=vMD*mh`?DoB6uNiV^Q8{@DwFnc@G^QRZbSD4;%w+Df~^GL6C=
zmnMWp)jaQ4n|ZsP*<|lH7!#^psI!f=Fd(zFq~1cs`t$UfyDa^FqrFuf+u{hE@AHq|
zVZ!$7`A}CA>x!SD*R;<J6C3uMg$WL2;lmZUYuio%CNWmNPB|aDAMwru7XWJVRYnU<
zNL-c8H@$nUi-%G}-k98Rg-rFWE`PG}ajDJaqdrfznpy<Lua$f-md}(wF&Kb$-04$t
zo3|^JUe`bWsSVF<Xi}gbQxnI0P>8W{ujcCILpJY;dL3T3XD1OX%1+@Lco$awx;Ry<
zTjEpLz>VSjm3D0PTeV|7A0_hi4o?P6-*z}Ry3~Gjd=gD7>Fm$mt25xi5>e8|nFWAb
zdHYTM+eI#mE{d?+1I>m@!LJ;F&d^ABCcd`$NL6{uS}$>($Xw*AA!FV$|9*Jps-jhw
z<E#;XX@I$X-@alLeFZ2YK-lqnMLEitpwm-8=u1vF<ps9s2;DYWuU|I>N`k*r`$^o<
z<qn_@1n?d5ZaR>iV<J_Yg2@o3%>a^!5jg)0Z187>utoxz2P(z+gINWJ133UtBNjl+
zdQ_8qDS@14-OO7q2xj0j7Mrw>AxPH9n9uQ0XQPTRgtn4xA-z`aJW@9T@W~4>I%*uj
z&9igh|5%QNPf!)j2u{5JzBm)Gjt8)Fh=~Py{s7RM!Rr6DD6$311vT&^gcgt?zVYWv
z!FK?}!2mb`6hIsjK%gfC(|7?sbo>B|6{mqm{O1t>R&2bEfMc;D9~Qa@zdeU8z_I^2
z=zJ47sLTm3+W?7g3u{UH2Nf4bR9fEy1&mQ||2Ag10DD4>L|+(B2@ltKNzb7n9{>#*
z0BHCc6j3+#8gyLDve1N;688GJ&WIp6O!|cEZ2y@fV|l3CNdoOp*Zo6a1^6(v7g9B<
zug(KHp$kC#Ka_R`;ONc)9KcYh1OVXvQvt8B0IvBQ2?CP&)PhBVX9xXL3WPN#MAwaF
z7{}QFNBtx5|B<-<CvyJ})fHU|E<{AG0!DOJI((zEngI|X^zy&!_{`b}QL!wM0DS(3
zFeUz}ATj_6H>yW)ZenW?>_J!)1vY^Y5v&l@i$XnIIX$GJ2Qah47B>C>&fWyT7$4rh
zFFdn&Ku~Zj&ZeFNTmpoD`~arFaDF-f*zcdm5GVl2y#DPV4y>J=!~G2^hIK;6-+wkw
zG&_NgofH9Bik%o@>$d*QE1&>h@_$$QAHy{~0exXCBJlH!0qWwjswtre?^k5jOR2j5
zRsCQrd*>BN<vI+?OLAd${~%j}?jObpNQEP=Q--no<h)!{nM*=MS_Yiu2lab+R)#=%
zg?QRPbm+NDaPf4&KU8K@5hRu==d#OmmO}=Ws+~b94oaY6d-vwTQ769PW_~l=7Y+j9
ztGou;y8u@Cp)FH}u}kVAN&s#T$;rQV_<Z-uS;$i7>Ike5#p6)t!m~=iK3O}N@a&I&
zS7a)HGVF<65Rja^1S3Ej3z7qf5GMF9L4Q8*Kq@}H0hl!&$6vBAF@P=Lu|vK$w@Gg*
z{Hy$$UC2X_BnqG7q1lCui!Uq?jklMP1Lq~$>;mfi=YM}E1gHfAKM&n-rQ-njH+oI*
zZ7K{g4G9G4umHa^LE4EOe+Pd4#UlZdy9O{7(*`yz=3Th2elFi{FGP_gvM?M|VE7FA
zexd&FhMr7!JPD!hm(`i>Tt=2OVK;5qBb^XHZw=^1XOls>2wus%oc(}x!dLh%2n#@}
z-(G-t#DN<8I`Q($x41w@_^h_C7`wtmCyYl=aP<rdK%U$sF!*zH-zFvOxz!ahVv0ZU
z28qW+*KqahhcnLpA}(98yK#w$P8T10!np;P`vON+U4^;>-t-R^KGFj&XDS0k)!-Xv
zegJu*9+9(h_dh5EEauybBM6wu>^$@WJ3f^(0rI2j2>dTcJg02<??(Uu>pDNc697g&
zBWSdSO#v<l=KzU=ufBS14g(5<f~2cJOAi~~ZHhW1>vAeSE&G>F-oZSR(tp104y4Fk
zsU7{ipBqxhMDXFNeyv9?+GWN3Eur3|uV+!sQUQ=b$LoRoc@^=O8nIF`-GI>yhSy`h
z^UjL3o9@Grg?nOpFq83#v5q0fQfe_t<p#CHbNr%i-LLhjrlL^cbhx-IVNoMhG8_G5
zGF9_v`0Ij8e)9)bNKwxlkw?kyuwC>0PaUtjt=05JT{p{$lgfWg_y57GroT;zUA>}P
z@}CtHXUoi#bYuc!=B>hsC%~Bb!18Y_sNEpaVnaWqk)g^dvK3(9iAfpGlZR@h{eBYB
z3Uu+QM88>$^Yq3R2a?EfO^A%Xl<PV}@;DsL^(;i0V;$HraF;$y6iU_z*HuRxKG@+7
zg^Tya01Tb{VW_2PYb0c}ExaMfym*M6L1gPyi*8Cn(odj8Y(?P@4Af_^*E(3tdt(}I
z^*V(OC*QiKh>9URbK~n&ue$?n=HHPQ>}s(*T2vhz3>$kYC~fm$X;1qCdjd-cE^c0+
zSKJ>RPN~Y7vGZWe&?N`snM=BEP~vkvkMU-c#l;Pa%C^_#)jP~J!zrKH>F$<RtN^SE
zLH4Ms+igT_X^)xwoZ9*F*+U{cCo-``7R<wTmrS&wKf%lX1>F3ROQSpO3=N_-SOR;k
z;{DDrOBQ?UR*2TQsZ@`hNWxbuKX?knkmSGJk)By+bf>VEm|SqqZw7YN%P}ZRE!^5P
zYu=nytSq8&I$XJ8Ebm?St9Kqi2|zh@Iqcg!#3eCMYJv%uOvJA+g;(=5umm7O8^BrL
z($+z4DY%%7bl1Z%yGU|Tg)=E(+fAr>^D>c%q7U8zBg2zwSXrS@^F*#TlJsM^j_u$%
zx<?l9k%-W<GAh}w_eIfs=zGU!0r1iM-Am}1Ex#<8EB}P-Ny)cP*&hR`6Nq<J3&!l4
z<;II5TC62*&Z!^GN0%eM<?)aIjn-G$HkW7Mg_5m7XXl@JK8G){tIoxpfZiD5%6elc
zmu9tY4_2!Hy%1|9cKFC?d%el;1Z%P!2D^&d5W!nC47vRDZ1>u%tl86vCNuaX^fI<o
zN+orlBCz<H0`gUNjlFlCb#{ua_=#PFbI#GTZLwrrGDbP5h`jh-ow4KyFsQd4jVl<$
zHSUeAOLjH5<DR{#ycsY>ah_S*t{8mtJzdYJyhkOS&vP=g{H$w0%={=t!lKON#tBn8
zGAd?G&HzEQhMlHUvJk}U^{Y|Zw){AZx|ZZU$8TKL-15xg%$$I%@x=2`w<|AyO^(K*
z6O?fVzn!O}2CKKLfu0&R`qudsZ2UcRUipk~bzJJjT2WB2DrVK3kOO{v);hojJq=Hx
zPXj;@=TO75iUqPLU<ANL1!90^QS33DfrpX*$_UtiweHMlWeao*Kd|Enb^t1RCI1^0
zYd~<}FmM0H(U%E-+B^g>^?Be2cIuXjEliKoo}G+9g<m=J+<S9&v@X!_>zwlf8MNZc
zFs@BpB$KjP4N$|AxTAe;lC$s+Q%k;lxWG$!W{ti8c7e7Zfq>bENJTXGB4G$$yQE%c
z`BLhGACUNf^zz}`OBu#CDFE;bUjwPv{W$+}hAQlNV8`}X4}*z7=LtJ_Scb6#d{#Rn
zuH$jo0gO?YDI<gIKo|K1XaK&8>3$)l`%?Do?3q~-8OFS?fSCf~=ELJC0c6+G9*>Ab
z{kmWPYij5w1PSsYW%f^8I|LEopIgJokqjdu^+GxZ$RGAFO&j7vSSZVxc;r+*H0rb7
z1^5PsDltR+&MOo6rZQ4dn}YNlYXQg0wdu()YG|A>8>(bV+)wbIJ4&P$Sh+&~#ezYr
zwalquklvX@t=L|^JgFouI*T5u(TNn>jc%Ujb7P<`K)E1q+g&}J6b(JAkwORVaxVld
zaNqzw1WOaTj+hNUD=iF~rVyv8>6gzF?B6qIE}_P&i2V9h50!Ip(KaURpM{6ri(~N?
zL_}Q454KpPY1F!Cx3e{96LYwz9VC&RQ3i=KCl<U9;HSCE$Y1N3&XBmHm`P5+O8<a}
z57j+q#{sQx^|@GFB4Pkoe5n47{p}25*~kQp-hfTzZ;4}@`~c9o_mj@*`DJxP2Pxuf
zDh;{%9H3y3sr*^R$Kj%Feie(w{_Uv+iIBKyLs2kOJ}^Lt_zC8)&D#Gr@|KT49JZ5t
z;%pb<9mPZB+wcCj2M!AoLiB5g);?S`*>eu$K^ADof9C*v^@Avm;C%pNe4sKph+5lQ
zq!`UzL~@((J`*SDxc|I%7nQVkvY5W=_qgIcV^z`muhY?suAs!1K_fr)$oMWyw`bo#
z<=-trg$9d6fVkJA{BH4;KWURIH)miox;DHv8hfI)?_L^J`n&nKh?_Tdn(TY(xtOB7
zTG{o1hT$C0Fx>J61DXJ;gUq)qXqsBb$pVA!>ZW=J3lGVB8t-kp{(#ktRTo{J(Hfo!
zMcPS0uMzM_<nM%gBx^z3@?znl)AK&Is+O^S-Kbz~;v@-sJIewWBNIS{XMR~t+&KcT
z!y<$5^drIo$NhQlWw<x|XGE8z{H~XtW4@Fz?a@Oi>~gGI$&&Ecxvz`4i|3&-k}xQ)
zqePt=UNn=YrM7vEVTO~=VUJ&+Qi_nmmK1#LHVvcI+SsH>3<;U2cnVhH6!PM6J~{gZ
zV|n$C-C2C-5aT(BUOBl}r`;Z9wSeCu1m0fY&Ipg$NePp$C_Q`@^03RY=!$wdg1Z$o
z`<HQ2%cQ_za`+E3D0M|#fYp2e?dC$M^*hp~*CW>RUAjWI(Y`JZ55EHKIqN*X@Ro;|
zc~utr%2>ZBxw#qgKjtj3hU=%2!HHQY6zUdplO_dj9~wdVoTGYnuot~z)UaNHHTMn>
z=81Teag@8OBl{){#o$oj5u&t`kqON=7H+K79*@_<t^{mk?Akr8+@;U?^3&z3i}?0-
znh&2oVDNKCXDHWyu5J0PEA(mZDx9SE?JBGMW5ERO^3tBG7#qL3S!&8T)zAn}sYa}1
zJnyw%PGAhse_>xRtU9wVaoAgBA~zyG^K}N7hqX`I(6y54Jt29)T>1{RsYynF{fmuw
zplO&i=}&%6!|~>N6UhN^OOu|8qCRJSk9-k$7Y|xf@D$<wTbM=fRvy2#&w<%tk0c~x
zZp=ft(A(^DSs&R}sodIT`lw#SeZSpTg)EXLE!=<$ojIu`C3&kDZp5h%yKT}?`AERP
zl3%1q3+#IYVmT|UKdW(G?>s_x#DU`_321;fLkeWgqSqQeYiAg&9h^ZEBeBObvA&uw
z&fA)i>GE%Ro*nm+vKTYAjK};ar|I)&(J~QI6E7|Lwmcx^hRLk7aoltyTg;M9=DCM5
z*ey}Amzu>kG32WsJyjxY5{V#PtY-0m3J-=U3CQ0zK+Ch#qih)*3#+l$lO`{r$F}`;
z-rYKj>JX_*p{`p}-o9$^8djG*(dPxt8A*WyjPX>Kbbsywc!WCLfpXk4@In+VayX|<
z45`ix>Si$@80X-B8_PW8C}b>E0?9|V2;Xm+e-2!I&18wT-BP-8o;*~va;podw2dVl
zvvf0Z^;V@6Mf3RG?&k83v-Yk>EZv8Wnamu@EgQkRxH~6`S#Y<MfdM4s>tn{fdAE>e
z>KGdt)CaGUid$4+7SQt63Im_?@%i*IzpgRvUcNlCxPpLhR?6uu66tGYPgc~^-G1t%
zEJ-&cWo7Q%O}~Y4w*LbA&i-rgQO`-%b04W%2rQRU_u(Zg*|JwTBW??%1UnJd8h!gl
zb5pMk*7UsWo~2bxkSMVGWh}YO8AMpC`UX~{O0lakYBD<`yyP+3#rO8ia)z9~lj7QL
zvzK-~<{M!6{^qgdRxGc9`BN7u=8KR~w6U@Or{6e=+fN~G;kFsum?kXhyIE6*RX0$z
zZe{}aEPiyHM3g_8W_-lZp98`iPMlWG3k!`m2270ZzC8IG1iiuJiH)DT(t}RGD#i=m
zlL1%XH$N=fMi_$6a3WK`Q67K&DA%8$RkVR!1El1uANX(t{{oy4yHm?#Rw4}OGjgaI
z$z2ry5LGI`<zkI4AaX2(Liq9%&;XhN&)V9o%GLpG!L#mIdwT3O*z=KIu0QPY%|UR1
zQ)a_JL^lAev?&kNqL+ovt?B@1&wT+3);4Mv1eg_IQyz9H9OyUzzmtProlk=iz8Vpn
ze*uk~*)UNg4BHKX0tCX;u{|PQcHA!jW%%KL$iboDfZ|zw0aD-xK7cex_IdNHjT#k;
z1GG=o8-R>@<ATjjLhy&YfC?2L?wqxF%B*k0oPXFq1Or_*4roW<B|ATM(5#JSUdEr)
z%L8hA$Q=aadTerbP^fgi2yPCSk;oyzn-H(+hUh<e|L^}(MdrsMShhanwkajHFxLA`
zDoK6G?}<Fnd60v#cwa{L0wAs`;!4j}41y#t_@eESb70S8qkFLqcv>1TF2^pstS(0a
zHZTAVf^r2d955|3aRC+knc$~XXRk}D{jXd0HAUsREo2yVNr9#Y7G)S9p^^9>OpuB?
z*h_ITYXI)SJ|U~$1;OanFMMc6O1nR4?xL{QTTy%;we!!RT}9Pf;LX{!<Z_>^5viY2
zbDyo=pkqo@Q_o6LQbcgFCc(mUzjS%Lh1r3(JdbzKu_NP>6VGWAxgkXkjt<XOD)rkF
zaRk>cilA2uoK8ZY5;D?ivO)Dv)bie<fUC_H!#czM{fhQqbYSlY;Rfr?GTbu8CJ_tX
zejL|dPx`E1OF3Ny?t!qPiH^G~IJqDJ7xOwLLZm2(Z~T7s!D<(atkI=ff`v^k_}QF}
zDp=ox(F%Nc)X`9vav$g_0VbA~RfdXHXxW{lqDH*g20ik6kTKP`Wcsh^+$(3DX3Z>6
z=h0aqItL+@WJ|)W*Pnq`rGRtgGwL!J=4dWn)Hn(qiz^<Igt$lmq@Af&<tBo0u-(aN
z9%M`w_G4hCkxd8YP)P1n9Y0Nj*!#pw{DbfM&8UCu0bs8hXC8mVI|nESj%)EpRNmI)
zdoBntO`3C-h1<fq$l|QZQ^>5_p5)^%ypvoW-J_FQ3;TxU2LIRV-AgCQRRQ3UKLfaH
zE<{K;%U1sGPZr9X?B8=nW0$BXj=yuBfuHM=nR(3_^?_<e=^Jbi%eddVKDDEF2SMY8
zGrW1@`S@nd)s<9;N36}nYlYJ7{SVG01{BggS~a4`ml@1XeUW_B@D948jhMnFphZCq
zKO4ZAs6l<(-I{q+!w$pzgasS_rDuJiPlj?1j|F|NAf+ECdVXUbmvhJDVIPUkoMicH
z@z!RVS$#RK{GlNAE<hs(?1i5upKSQITPNeqWwQ;dWVI6(PxvhnoQ`^-cX(E?`Y1;%
z&w(=a(q2w8<@j`49e6P=Y>MT0t4ij_imE60$@%LHk!Jycup^MgTSbt-yRpT$ba6Ri
zJ1g{|776zpS6!zQi{;tVu*Jv%rv}U<x_UgP`e&8;r3L%K6lD)0WL(7&ggRtfw@6fG
zCh=SH-*zJh6o%XoM~Y!J$qpgNTCpG5;sbckk`VpGw|P&XE~bE_o_L#S`oLu$OKf<^
z+dsYuynFuJbLZ|}_qV|eUb-FfYT4>3@o3@{ACEtEbZ~O7u6b`XP~ywxo}P`@n#O>s
z<v%L-hn>NNw6}Wmsz09zHWpWY`@@NCgsREInLo2NYXbPEa;ymhv$dxc$>FLrQG-#B
z!+sDy66_M2@i#wB?sd#)Ed6qJ01!>oxbdwf7-z>ma9n}1mo%PiU8%RtRnnO>O($N>
zO2Su3H`J)6qg<r6nm$UD@Kbu-5=a|SsP%*Hp6acN<<A<jwTq1(QfLXc{>6l*uK7I*
zYQ%Ei6y{RBZAF23z#!j13vfqWPk%B*u#GFrjznGcr)}r!18J-iBQCR%Aoppv6!!`u
zQ9Cz$n>F{oiZ({O{GIIFZ{fOP-iMJKI8^4oePmv!ipuRi_s3j*W^WZeU?R0|vVRu{
z+C5r_qDT-a!c+n4Nv*m3ufgXvQ!16~INd2ehW1jZ4D5|QZ7gm*_nss8G7nJa12t|x
zFlV#HMa6D5j1paD1}g40YH%(^s?9?vKBg8gEd-<!ilkd8uZHr#zMXZgK^}P7ny+&C
z{m8c0$bx};jUWjdT<~G*T|Qz$?@I716WYs2i{wv4wl62_L8*!`;Bql`!Br5@!Uumz
ze@C$3s^-|J8d$jwa%P5HQ3o-+mVg9^^Ky{C@LvQy;F|%K{{D|^&cFlPhQY`&{Y?Ph
zVk>il%Shca{?CTlp#9%*@BfsCDm*Em;P>ThYUfFs$siWjULKF*I`FCt_sAvzNMp0;
zUu%IW#dS8v7>NszYGq1XMoEf*lmQ9x`k#wXz+@ztYT{cZ3l2pv6;2r?wvke9vuH8|
z0`lwSmp3cOYmGyPy3XIntBClauPU{a?Iyh}Tp>feSz+B&Yl)u7spu|_oLzDO`U}8z
z^>{l%Bz?W(oRKYUK#M_H$^-^B`s?kzs?U$Ibj)jj3m(2Jm4#<*9H6|lD(((6Ntbkp
zmq3HiKi40f4d#KXA;DCJ|9su<(<(62#m01mYgJ4Cd;9#nmV=wdK1wm8<u__u?4Km9
zXbgR_N5#IqXuVdcV6SOhMLZXf^M{s1px?P=&Od`IPK{D{kSZ51zS2R<nFx&fb!us4
zVY_?SezgigFkO*}w~d9xY~8WQfbz_TvbWH(7_gqnu*TES(a*ajwx$V>0S*S;*S-LK
z*Yidy09<<Bi{&J;-RrTDX6wy3yWs&KIxFQr@3p~0h0Z&OuM<*}(jsn%*VQJgYL$NE
z9q`thZ!8WEX^UKr2osg+3S8xJjzKvTUO#|fJAMH1l}3BkQ}byjn#Z#l;UC16Xvk>y
z_#qyoUUv@=x-)L)7XyG{hm~^u>$ObiY^5uim&SRw5C)KSRlN)12TW9%7?b38?>G>;
zu@C@vA^xxG-ZL($>}eNmlBg&kAgCZnqaY|CNRZr021z18;vh&4N|ew90|*G%1d-6t
zl5@^cMRJr3O%TbkiA{#Hy3zU1-1nY)-}B}C&Y3S`Z}wh$g<4flJyo@K<RG(5W_1%~
zsnPCZV+FKh#uaJ@6y(9gJw#z3`V~B3-4n5E+S4ecn)7WR<f6gEWda|v+mfM&6j+h*
zyEX0!_Mbpjz>*R=gQvY{bfa7@sq`d}4`?@?M-Hg%L2)O?&rRkU__PIrvr>v2Fs;5M
zE-IW-{6oFMraMd)bC6OcHKk?QLXVBRcb^2!-$ba%D2l9E@8EN6Km@?-s(tN?py~9Z
zU#ey1^0#SQXRo}Mf03NJNr%AcJbs<l3@OvaVu?sT*4(Q?ThoB=!3m&{YEl8Z<IrVT
z!ON`5uK$;M(U{>(A+ptFzygDG>Ge9|gB!i*`@|q{h)oY|8zC9y!h&>y4`&fXf)#ik
z5<u33X=PpShTMXhWAn!ujs@!Rw*aJtkR;pyh1s`Ev36NDSB}#T(_C;;4<Phzo6p{R
zkaQ3Sbj>8EC?%&Wyj|@+5UhW0D~}AGWLMU0Bg1RJfVe&-KVczt#QQ#VXSKrz=|J!q
z*x+}xGca9HKr2N?FdP7ou2gHSJrf}Me+L!8iWF7p<Fy2?n;`tI38<+b4?r}_{5R6Y
zMYD8Xl8poU46jB2;dZU)Y|i&25bX8N({b7`QgS+98C>P|c2>#bXm!cxutJl6Q*7lk
zXU?setnZtDhh@kEO$U_~T=IqgQJ0wX;qV5Y;imbukfX`5yyQwRl9Z4={-E@tgT~W}
zG-P>{<hZ<3G?-t)&1Qn;xadHg^}p3sn~*9ej5L@ZY3hi~<;<QF@tAVCRn#zb0B|+V
z5yEX7%-vw@#x0qV-QuyAW`;J^ejCa_+gWTVLDn~0v5$m`!|7vFkW>aa270$D%g>GJ
znouP2%O|a9X_g8JE>fb%3`=zuu^$M}j#7i%Zb9j(rEc5&`%^bcleySSPm-+cu%n9P
z1eOlDa*{Rsa$o_+qTMV?A635uLZ+)eNGmwtU-j8w3E;TloE*bzysXCgAX6tDxhF7N
z9tP0MFEM7`>owLb%Edv4sa&lFRoYUTbS3px(iP<+%^+e?C<Xj&P%_I)YegVz(z%Bf
z^XuIIX0!@L<hWvPfN*ma<xO=(oqh9iIg|eL%R!3#`3{9EL>zZuF|~TU`46UOBQ*f*
zN@^0#Jj{1~5cOg`rXnca_CEHfx^!@}yUH2W8#&(+t(|O_6Q^Gy4y8-Pjj%~^!#(kF
z<z*ir$Y(Xa!|2g|kl|G=y;3mTu0!SZp+=jmE9HW*pUXh}Gs~I5QnbHl<ZKQVitDs$
zc(x`*7h<n4cwf`XrmN%UR611P*{QjZT1Wj>{=e1D)@J=5eH6-1Ut!9PnA{kD0(J%Z
zlWK`4dRVsgFU|n$ph*!0)n(1^DM$BS{5s?3NIkTbYim`0%A6Y^8%iPUUzMh9w+usw
zThP5PVPGzBAP74T<}=|cfV`MCY#~&G#DJ%z;5Q<C`?Le5K9)oC#L|7lBUY|+`|O|!
zkc3twENV~EiivZw2y&R~G}Y@bYPd-oIUwJsyHH=><}<v+vYy$S$f@ILtE+kg7sU|5
zjWM1`Oi5(%q4=QMluEtb`eTH}LUO&{+ftzp&*S46CX3zjDircM&iLXdBxZ?VIQ4@{
z*sal&ah(jXsCR9)eYmLRvke?xH3@0D_gq>&boYta!DVUZdh>2Mfev}~Jlelom|go;
zOTUEuOAvHFJ+k7|oLGqpR39)W)hWxI2d9>+oc15gNPt9U?_XQWN+RN%-M0E`y1mNe
zjhT@ZUbHo=P7`VIO;=kkj;BBL{OLJ*8exE;s|X`b>-J57ls#5~JXks@|MCrFn16AL
z{!#nvQ)sPP?z{ow=tPBHw%K8Y8(GRYj$Y&B3qpVDKlfv7!ArZV17tEM!)9P~q=y*<
zDw^ArmlN6g_TmG+8#HT2+wmZJ8V`r=xg7rLCWk6n^;v-vh6*?kLvFlW77q<nggI$N
z_<r15{IDMccU7oGjNR-ja+5%aGfn6FT?Xx*uOnOyK^gM@Z2#p9MY6RW_|qoYyY@e5
z#w5n7OK0qn(>pzvSl(2>GCCGAy`!8&GQ9JfP5CL4xcE4;WA--Zgv(U{OLM`)@afrx
zZ(&6<6pgI#=*AjWpx6{9{NrZOX~XmdAE)V2g*KQ5tQXp*UC)riCF04DluS0S`x1fW
z{LAd})lZu)uP{^jxo5x>hiVu9^*m&OYg_^&F%-DY#k$^b@B_YR>?C$7KED@UA3NSs
z{?zoiVK`+igjFPzpu)4c-p`{{SEDh7XW+>M$h$I^v_ECO2#{Sk6CvMHzYB=<tC%vz
z5t|RLsVQH(&Dbg`dZsInY)XI?LT=Cje&GG}^OYaD3EtGDwAF<{&Wqp@7I0yGN)P}u
zAu*Q&Zi`1c10^jJ>3<^pYam*nJ*Cf>9sxiofE7kx8O(>6e`hq{(+~RLD8RY^Yr|Yd
z7Y@-lJEb`7UC_mUconM|C)k_mo?5|SLndaekLK&wY~<j`EFESYD*ZlB`4697xc1l(
zzA;g~kWtFWSGRZ6v2zZ6Yq<W!Lt6YUxptf3?i~<dw}EFj;sWekMKwNB9IR2}(Nf+Y
zain?#!Dy(k#f!U5i_XrybsU<^yx01)Zau2jn9T{=^S9`ucwduc`LN<&etqGLYJBE}
zbOvG9;lYmKUoT|hX;DPkxe+3qcrKS_k`RG$XFT|G%)&68Tc_)nvPFlDQJu2$FD@@J
zqFRd~amilAYYC?it-O&d>;;{bZpK^lI<LgT=0L9AHpz;_3Gr1Lf%ezam=Y+Va~(`S
z4jJBGeCGdgQsd<|L`-MubfQzK++@b)TPAZ|&v9!U&Hm#WOc5V0JR47>-={pqUpT5Y
z)v=k3<I{(M5@)+YY|aiKvo;MQFa=!1`oI*x=kYZ8vOLs*>O45g5t!&HJ_%OdTbWw5
zad4+2`gtgCUAk8lt%Kloo#4JtdPI*!a%1tHy@Fvy&EG}Rk>(ceVt;G{bR17>yF@kF
z4pk3}m^?uq%XD)?FGv3|2S)!%w|)9wg7t~qPW0-duSB<FPsn3+3dEVAYBMWlN5v!h
zA)TqEqF{vShrU>A=X;vQ|F#NcIAY!5yNswE)`DP|@9EO&iW{c)0LM%I39SFYn_F!c
z4PySXuCQ1cFzw_VxGYqiRy!p^ui(w`dxrjJarzJW);N{lz6+Q(TpatF9|hWK*0tVF
zrj~-Q(q-DNQr^1e2iJjk7lRq<AGEnyRc%PEK6?RQJbrSVvYk`<A03#+azW=m;+4IT
zbeoT7x0*2AwxrRYAxy}P31L{i^qlJVTdp9KZwx-v(BWr|aa&%x^W$dKm9Tw~hFj7q
z#U0pd+ja>ayEUK0a6;kd;ezie%i>*tChv&^XY9oEjiGFg4>#-A&Om3U!f*sC*Z?kK
z(j{E=&cnc!DVV?2{mGohAZVTu&4%Ejxs0rF<VF~>g*bA;B-$>u>%N2>>10;d9jUVm
zBt;YTsSr12`j!7j!OtuDp~t>)Urg7Fso6m)AR_gg?*V5NI5|HTt{`lVv;xj2YZ&jT
zWE}ta)Ku*M(a-Xstp9sno#AHlI>C9e&WrO^-PR!&FQ*+pY!Af|2Z88M0r;dIMvx<m
zqr+2whBi!XCG|Ybm!v*ltv&af{uc16923Ur@pEvX$B&f#luZ8w-#wBW32pS^!%`{I
zDTTVKT0AqfCAs=(8~*0Ce_1<x>@Pf_22^%7@PdNtvFWEKt^jFQE#nFSPFA)#eZN6r
z=ZY_SxvQ2Bqff&95$ehym>)1aRrt^#axN;uZ7g_TCJJ!Z5N-im&UKOcf~riOY!$LD
zdMdbG8`Eg1xaNTI>SZDEbKx7hLRxK0<JxGxqaP-X$99;G$)vQ7!w`wO+jnl>y`6A7
z;MEJ3S8hMv$vl=i6=bd|mG}vzRj&_wEX8w0`gOop{)QXnf;<zJZ5qa&Ia096nyUBy
zYN}r|zu!=JY~mL+Kc2pjGnS&_vNgXV+&3D(&9ph6v67*FSHmzvMMENt28B?WE!woo
z!iah7=^7Z)8p3y0bO)U1U$!l0c1I>jdRyY$=D>qY9+KCPzNhCvQdFXZ6$6Cuap3P1
zF+gd5`}R}33kED%3pK$NQ``mUvE{?B*I>n$a4B6pAS(@Qjoa(F4K(Kf<#6r-N(X<_
zq{a^A@0*~Lm&{L7qI7`6PfKh*G$cw2yO(r4Isua22)<AfWc2M_@_xPp-6pUiA;_q|
z1nznd(z^&jcL<A?inxg=$*mli@-#so{z_XQbR4*UbgpDn4f0vbiC}nW_LE}baxmfP
z>I|~3L*L!P+TTA^AvbAH`UCk3cRI5qaazAyyr3vS{W@Y9$><7&74LAcy(($LDu;-I
zPSbmgtrF9;O4wjFo4|265Z}|P)x|KB0D5d1!3}1FN0oS~)&{fD1XvhpZ|GlOAk3hN
zMElc&<0qH#&u|{4F}x~n!E%LwVn3btK2YskTnmD@IhD>k-L(#8eNA?nGV6Sai|Z7q
z`Nen4_q8`fEg&5?dEgOMMQhAj6BBq3KP&OV@yQQ->tg6)SJkzC^jM?XHGH4KhvQ0I
z>}lRX`alMvC9ye3M=4Hgc=KpKVj0PRcfP><f@Z>d!%DWF(*)y}`9|LmmN6KRMqou0
z0wCEC;xyX6PpXevZ7>rz8BWH|nZffpNd`Surv?&L!QjJbj8PZ8A$?%eC|F9M-S3?R
zX~W*kgpWI&(-|M%LyO=pSn`|-2z`34h!DTn|7==t5Z}@t`FJ3&7L<;=>%C7x(j_8%
z4+sK6p|D#ZJp|WXn!ZmQkbm?ft>H1jX;sb!nA)TFKAJcQwS0J!J%dLBa<ay5C4pP0
zZ$o2W{~z52v+{`8oCFA>Ks!WXj`trO&$QuDeb9N*uYZp4KaUI>5Gl+#{o@g<NqN{A
z<WqMF*@=I3#_I4I>Wy=8wO`_MpcgJdVOs(OH;RU^<oHScZ;Ua!gwBV`?a!+GHy*$*
z&;S3VWNx8Ap3MKsOgjn;j#b~fU-&+M6lBie7QTZQUFkBRIqo#&owKETKK{sbqIEAX
zW-scX-W{9UXvQQ4Q_>Ef)E6S!tXA~Jnlm{5n!IePq_X#Hi7LKg<|7ZB-i^F`m9zFL
z8>|>ODayN~bFYrZN_t~U^1I#!Ie(lanL9uBif;O)7AT}jR<yo9Sv!A++t^$DhloJ(
z%DS@`?m-~b-R%1ztDXGs9Ix=ZF6_i{*s;=-<%uMxh+jZyiCpN<uK5Y6*5EV+ejsV4
z-;bDXvkb_ni$~jTzD0;5)zGg`WSyhB)y5UIalpS`FHLO{#|Q=W(WRBSmY|-cQ>>cV
zgq`k+kyVbbErRbqAab-oHoX_<(;mES58u<fh&m1vut;_ro$EyQCn`Zzb{2$BB=x(U
zHD;(jPY-Ut?aS;NsHfBQO~<6tE|icj<0nK+c`D7^szz>G!@}V%@mvJ-b-z>$#k-|A
z<7qXp>5Ne~{n<;lm!4{0FUTH<W9BXY@ND$Px_QzZD61-LqR+?LLbp@eJ19{gj`Opa
z)W0g!c$w=&`290+?_CX*EA7|b=R*ux6w(d!_vfsYr-ejMCCRN3Z5|~BN@@i#gb9d9
zdSj_v8?2bP?Oy~JSAxi#tM2%9d$XclBbRh937Zn(`w@NObbV0W+}roPGd6yyS7Up?
zp*^OVkgMfp>XAo@vss(0{H#c)I4CcN%fOi~Yiq5=`!_5Lt99v``Ju(BwN>`Zq2=(T
zmAK7vSK_oih?gM%O~RTc!2?HfNvz9n?!BN_ABcGxR&vp`D@IJmgq{h>2HUzsBz<PY
z+`X176w5U5y(Fz<dY9bckQ6+RF<4-C^IqXx*UcSG*{cwBDmmNb!#OFt{i5WW0LLL5
zA)jAvm{$1Xip252i5^2eBIKiTHGb+Cc*<a3gFx{zOFNTDh%|*+-!G9rxd2`IQj7r-
zYObHK@bpSM7cKfH_oS+RbnPxkye6^DT)t;k*Udd*_5g1eZ>SDl4P!3YEaP(Gq-%>E
z)J?*WH7J&YNK~oXCgkc*J@ob_rK{RTMe%;XIeQfWw68y3o158WMk;w|2M0`|y>Ay+
zj{cpxowu#}g5x0{B4xVVASXXTUPh*t@ABql^KWRRl!3GE@ksN2tg3s=o|#Q>p9s(^
zK=Z!q9~z4fw2~H_Uvte8yFc}^uKqnDC!cKReuxk2knGfq`C?4EZrN`6J{f?7v)Yw`
zc*QQg8N7U0US`S)Xa0E+Aya4%^`eZTw>kyCDBdhDKc1wszuB2vIqNiw-sQd5IIIsu
zkRSk>kp~e|or*MYfBi`_GCJ}|U19H|=4S%87u|3anY43Pt$l)=UoH7+U6PC031*Nk
z8p9sx>ACwKv{;D{?D_n71fq)DH{jIsY*5)n!>FCpOr<F?O+-TdD}eu-vT=MgSbe*@
zxsxO^I4+iEKzeFbKFl-nlh&%s1U(g9@TtH##j>g%`Kjb03oU=}EeNyJGbhs^UQ#VV
zH*gyfXZU@15*)Mf(x*PR!7;0;%v=%qUcd_}e3u7WVO!SZUF1GPmwxZqH8?^RZ$lH_
zaaf=0WiJtGtM;y05iNGARgOWb@F3EDk<L-|)ki7wa;-4d#yNW0EN_oA-0(YQ9<EJA
z($5<wM|<AwJhWSh5ekC(?cI`B!3%?QxPfirh|sf1D_N!TxgCQH9)UyMkX;&Te}%JM
zO14qpq%>0D5S97yuteygQU>+wj!yywGE*N0^$BO?mN@S|#<++%j-+KHk4HL!?9|(X
zIc1kK#rIo14b2QpL20wM4?X>)*+7`c$dnE^{7*&5saEnhPS1<lB5qp{(cn7X@{n9r
zr4(H?V7RQ5A%?b_J)<gyc5+vh_c%fn@UG9te)J65s`gXqTxGjmcL9ZP;b!cve)026
zNIlzk5UBc<Nihyztgs~tDHmId*v?%!?i4GvnA<?Mj$=n{@Oqv`?QM{cFQFHmI0!z`
zTp-Z#ILS|y-gI3NBL{E^2i0%@@WBNQZT=LHV_El}2i$0ks+aZly$s|C3JVN@oCk>y
zpWkt0T~P;B4iMFv-|`GDP$!(&OetW%LHZ8PfF~$qHW1UDn0Ybu78njk?iFe%u{i*M
z3GV<dkUNo3fD3?g1aJY(1%L}cLI@6>;r9u!R`F_}Tmh#_6DVvjoi}k-3nG2t0_vha
zq|Z_pLIdjM|2&edL`PKrVVp@$RtR7>pnYB(v|@AKhk_sd+mL_>GIS-c0<H)JfJFll
z)l2BgI|@PgokeoR%$-Rl9j|K6N_lIF5<a%-F+p9ED6OVQ>;)S2j+D1$arOC2yAtSq
zu2(>X@SHj;Njf;@asd!|fsnV%ghiGB?>shs^;ydXQ+XQ17=I7qYui(FB^M#sS>Tbo
z14Cm@7eGw}n4UWhh0FSMKDgWq0OHIl!zsRXV#Uw4;-?YOI$z@QNL$9+@&c;qEhO6+
z%t7C$53Rr&CFKE1A2$Ttg+9`fZPmdOXqJU7t@isSj-Mb+;+v;c#XzhwQ_C9jIS-U4
z{eI$SSt~a99VNh#mx$gPhc92fzzkjj9ED&EdhEi5r@sM?wbq``vl18B8vs-5FPRs+
z|G;v+>jF=m?y{8ihJp%7FoHhY@@0KW5NgCDMQ}l5;V#;pu>~YAgJ&Xy$FXsK>-TX(
z&<KFMwZr!~qnGOBmOt~O@wwF+<8+f7zsMSCKd=UV>v$ENes-(4df;;v&MyD}xKRJx
z>3U;#!v}8xv<I?t%?>>lqYA1zI0=hhQKD`FG9L8c;uJO7oton}!Ur-G5tCfva{2L9
z@K>HL`<^;1*Xs<h78g*{z7XjyyqHDA)Suk)2fm&y-!0ju1Zeo_Ild{@;W5b*K*}r#
z5F9|Yzq@lkEo1QL84)Xfy@)nB(X}>T0FwZciQYk^pMXw+(l6AL5-+qj?zjqo{r@;B
zcnDcsc9vq$K4rOXoDH{NB-YHZ*0F{&kR`A_6PVxq&&FPaEbVmTFW@|<zsQVH&%j#Z
zZZ=rN5DczW;2SvUc#PMnFToOM@dG%1hDfZ9&J`_zIyp|TrjNnV7<lK+;|;0x1dGQI
zs0PyoB}KT(Mp|6X(p$V|K|BZw{t6oZ{U%&dn=UTD_ag8wfP?TCD3@ztGzJX=KTeF0
zCJ$tSc>nPi0z+24IX&KRyMr<-G6Eeecn-A53Q2p8Uw&LekFmhD{7>i1hd=-b*Cqso
z^I3p*X$`74hm6mGhJpJDq^ks{Y5*k1@4~eUjCpTER{u=Hf9YIcuI0ma-jrVU51>2&
zH)rG551FIy!p192%tIRPvx&#Om|3U{X6P#R%$(>M-%Rm1YHE`t-OjNZTTb%Rg{R=x
zkPxe%CL!fOGRLX^wDr=lQeza^p1W0=kd3ipcd&o)%9@}T$YaCpo33azmTuQ^77B+4
zvvQNk51+4R9(Ng`)03M&|FF<n%6xwXb5C2TJ=8>qa8q+@#V0IPnCx;jJAB6BJQOLT
z6enDh8ZE{wtYo8@J1Pr5_BQ2D-$&N~ri<i5X#|IfjMqvLqYahoH%A_=-lCEHh@O|T
zkc&DYNu4#1rbM2MAwii$zki##deGa9+=0|i+@S#5u?-7kz0vVbsqLPt#@jD8JR&k!
z;5H||7tHLv@RJy78)d3_tBOx|xi@tNwy1~rdFrwodIezD(T5L*h&Jyb5)-m_7eFS`
zLfiC0o6D0dF}<noqHXbHQ?D5|5V;4g8iDQz{X7%h5VUUYnO;9czwgOZkhZ%Z!d-oq
zi)yIfs*^Hm<i(HmP#jGL9D^^kf-q1e6unH@4gy$#OTUV9X@ppvRurM5RkxN?{o9n?
zH)e94kQ!3s0IU^_YrR!GfTIAtehur}<$Up34%5qioI&TxgVrrLHTOPg6Ru<O*TTq_
z64XT|hRHc{Z@XvABc`dpX2k@LN^}vV)mU?cO}8mM@thE}F;%(TU<&<YJd_{S7|^yh
z%;evjC69y$$t}-w=jv6O*fOP8vbidwYw6;3SnNx44X9B%xZUzX{2K<!%e}}PjVmnL
z%^t8-_bC%~a^4TIdYYMG<0{VMDr5b0GWRg~L~=^fAaI$ajg~Aw^L~iN+P>-mNdAnO
z=Y9#ms|Hc-AqNi+EsE_JZ3goAaMJD=yv*EfQCim!B9d3?_{iVE#3yi(t$TSc>5Pjs
zRAOm0N?gAma`oD}`GI^$aALY*$l{{``>$>O)zW)4l<|ADsd0OWb)~dJTk<%WBy1X&
za9LNTwX#z`&f+vTvSIVzRH^*15g}~VwpJ<x4)}*BJn=0Te3cW=+8w^PTeIaO{%C(=
zWHgu(^#q(X)8#%}lw<3;vc4KGwQyFa_xLJHL3<&4SdAms8w$%#&v&$UPE{ntZ0?Bm
z$91hecCpY(-}l3>F>Y52-7U~+ti0QE@%cs1lqQ<o!vML-h9Z}E7T!KwQZ`^D{%VcN
z4e0fZoy5rj9or~rg{p~PZ#ikeLARBi>Z0yPVUcykctc;jQ%Jn?+%B<+WXA4z^bW$H
zG(`n|cn*<YPW~f{z|F8*5a9{6cU;hO^4!0byG%SsYJoX=+jLq2Hw!nvYe3<G^tJB#
zflc0<8?|yKHepRn4%LGDe?aL05WcyjkX7zLM}^wc0%}ul^fFyemc(A9Qh7>y(xr3v
zqg>~ctEq-_Y!QW8#=zmxD@s<DiK$ga3Mpn|1GU|&nrb>GeZMcwT1p?a;z#)2hp=Sx
zLR8cSWjiBE@o_<?<ATpWz^JeKZO2dUlf4xiy$d6ltNM2)R2D~~ZsnpMn4oe+3UTI)
zCNGt>`ircr5J&fT(nsF8_ZBQxQsn;n&m?54O7*f$`-7wHf2>tMHqHtwM6g4hDz6H!
z<b7S(RIk|2FqQRQDE2x7n|#DQXQ`t9<HZV#rHpU$RR-jhXm0nO&UL2?q66bn(X)q2
zNiPh9rlq`PY^~qtI@@o4cQAdVLcY08CkFQ4shWyoiS3b;&z&w@ouBwTK}J~o6%^(>
ztKEpgluP+IawFHi#(nL>N)VCC%iH42>@b%24vYB#?Q!>=&C)7%uNe1DTcu+CeMZNL
zR`EUHCKL;tBmS%LnJ2m05tqj&0EK|@i<b<CoG(1@N0>LsD&cn%51Bwx)UhB$q<=~r
zcBbq3zm32%yA32{>1BWCpMwXAbuc7<`PJGbpz#Rk?BFk}b9^8t7&nJ+A)M|wTf)B7
zd7Tv0#Qw%V5M2)q<Ff=fH~>^q1FRKqKu)gxvHyf;3plpbG{IRMK+XBQI#&ok7s-gT
z?1UuDu*}OKpZL{5?y_;&=5Lb(tUyzpp$${M01zLr{;oUu%PimoUz}ZEhj~MBPl#p}
z!oLsW3X}k;27n5TbYMuFtL`lxe$M@*LN`7uI}twNvPSHS%UmZw3`dMC6pmqyv`q26
zQG?G6i!XsA%|UMx_9#)i0Ndhj*#Jl)r|ma30XF);br73#)(Zd3M5l6zi-tBH^{o0q
zvJLQ-_-E(9$<;qS(pZF}_ZeI89Ibhu8yZ{VXOA~=>6UPF_i@Sc-*m1te~LohFxK`>
z0053Wr*zH)msHb#PQYPj^BdP-Y6|$~IlhLKxUf9t`wcrD8@K!%FY&qs`-Gn&)76UQ
z@w1ey;8ucYkS})~KaBAEnI~8A2nh#^@gOl<DU5)4S`AHF1rACG%v^;%H${v83<3=S
z#+iYz=-YF8YRcHH5{j3&QyKw1hofy_&uvTLU+D3E0LiPmOXhEf?wo_EdRpvz3xcc^
z+$z{z^hR0d!K?mx6Nqerdb5kB8w`;9u3xbPcHlfZoaAUO8be;K*DMo_oj&2P85&@>
zz`^pwU_S3Gw?c@gZ{hoQB0}`!gp}d#HcYEBCnEIo&M6%ufP{!aumqy2fuo)wuL_#6
zYqoFj>wlUYu&=-|c_rzsc?qB~TuBw=F(}Q$3CeSTn2dmK#Sh|l|G*(zxa-6a4In^Z
zxhWX{S9%Eu>wkHZ7<$^mn**S_vvq)Z|7Wkk=6HoWBrS~tzhK@!L5cRaJEy>qc)HGl
z^r5fJV1z(&!Syqc43J(79JFhoo+{%G5b>`7TYdw7I8BbjZ5fm(x02Q#h{hX$z<qgC
zuiXPq;3dHDlN0=V+yIc{2B-ek2t*_P+k*zPLCH{uhjnF*a8I!7#19tNhGZ#J%>n`+
zrPR1IcQFRNR`#g+aKr0gV6Mj$KB$zv#yvC^dly!SeZHkHOFpMl+qXJz*TBYEJ^$%y
zrGWL_^^A+2d&=GmLtH9EZyJloWS7}OQ#+QaVuV)=X95|+cNl6L#~+1!{qe}$d+gWN
z^8>-FW?XZa?6R4npp|e5ioosUi45!r2!i8WJYus_qUgTb(Q#$*Q<(7Ry>9^a6}JJ{
z$C$+^<8t%Uw%%*GRJE|wU`)EH%5ygT&pP~-L5!8|L6#3YaP@GsK&Z@|O*T9(ny`eC
z-`^rQ%Cb3owkz2QdUyD-@n?nE#hzJQtl3@Jc#9;1s8cxmmZi>$6Gjd`3*nzf#Quh*
zay^pBk2m7ZU%bp<gS^(g6ZVaE`LVH^0`ds{@gA`*pfJypbxleI2b9cY7NRxM??z@8
za|Ras1?nw`a=oMQ%|T0g=*0sdwNngVmrl|^N{_uOcA;i(2#Q@0T}$2xtCV64qM<<z
zxtGbA=;n$gPLg8xrK263Kj8)PgQ*olXpQZz2E=vQA3Cn&zU+h)c5>@FPC!~djHwLx
z&dmbvz0M|mmP|Fmr}E|UE$Lu+<bJ4}Ag18h;;Nk#ToH*XnO49#bvSWS_8es`a5_*<
zp&fF2=0lLtaZ6=uSS9e>Lu6%*{8WeeM%~JzcmowX021*N07AddbB?xusar{{V1p&V
zB-Y6J0KyV^$9*}Z_sn#3@6f=z-ngUnmSV*jETY1_d)y<qX-x>^d*Qazhm_i;gPkyD
zsKmxFCVfdac5ir><Kpp(L%G@aM@4G`V-u<3Un(QLz`9gRdoC8EA5%o8Ui~GJ<DXp$
zNY2gen$agy<+z>@uHKr4c5^`~>f`wWs-h;&i?_d<8EifdRyiRsNl45)7;AWVDt`G4
zq-gc%7DhHvIJm_A?nPh|;~Lunjg8!aJhI7PruEP{UYwMnrno6br6IVcQhLRno`hr$
zG7EeNzotNojY!6U<eceOQPl2%n@Wd?&e^j5OI5-yIN*ibvr$(q;HZ$^qY<$kO}^%)
zIXZSl*He2^h36dXi1j6ulGt}Q;Ana1;o(69D<D7)uR+**T}{V#sGUw#I34&0d?6s=
z+;etn<6P!&I(|-G!_&=AYj}f!NdJeDn+Kznid^~A-i-Ca@k&pe`|?w(<&t@@)d*|H
zg{Tb1qiei^0?BW*Cd>jJt_|nD<Fnn2vp(`^=}fK>e(1emL-^sTchjq#FfwW7wP6*1
zYs0~WQTKkY%ZI!NRhymL>P4~^{gCQ=^Wt4^p(05gVyf2--Z;M2@!u})P-;x;#ME?1
zoawraQ<IaP7v|`oEYNzguKmy&|4nK{qWUbTYd?XA`6<G7qa7H-bbPep+C5uuWg4OT
zVxmIqIe|?RVXTMB?w?GLxjZC)ef#kjVmztiDw3uRKtvsSu@zmZQ?~<m025>rO>j**
z>}=WhLVYRcfRbRUdC|V-QFJm)v>C=L<vNIC1+jBvng3!k9RQN#e!9E{-LDAZXX%qY
zq&V;e6+T}|!vp0IH^Amb=C{_5hUN6Xqy;?xUU`n=*EbT`4)l0r_;a|o{4I%j3S*q1
z?!H**1P$5M8Ba|^mpEY(=UU=ow>M2F3izh5FJQ#nFTmOiWrTZ47sQZ_F^SZv86)!&
zE2MRnQdm!c!>gs4QDpGjyDt&LSFu8?Kk=xsHr)9VEiDQW)5}YW<grOwm|)J&T$=s9
z=wa|ru<3qr(XnsX%VVUm94s$Bo;>Jdm&)Wza?0Gq;2>APbvhixkjwLVYG#^$6#kr4
z-``NqIdT53-P?jwRIE-1`x$)(XD)4n&*{*U#;t05Jb2_SBaZCp&dsmc23olu<Wx!b
zV6S+iJf1p#T6dYivyz(hD!`sfL|;uIHrK|fShhnIs$D5>--|f&G-B)g3FNv1j_7>$
zw}4hilVnHjwb;u9S2X|FDN3LX&Jp$U{<f#I!+7+7r*Uw$GuG?m0)CI+>>BR=)4&Ge
z?457lr`x!bb57!{e|`f3>ck%ZF-;#&=pDdP#hpr1%`OR9PB?)c3X_#36f3wNr&UpW
zr@J^{;P@IoPuu;UTvz_aMuZ-Nf9=Z^14a`>=~s=SmRb711_bEQ;~ETc23T08ozoPM
z-y!2KJU!sUOHYBN02GXI+Oj0icYrd0VGYI%iPK2_CI{n|fuDQRx&(gR_Yxkl{QT?O
z;}BdNnE=pp04@X2`n;_WeiQup4;A;B<FF2k&{94@ni1rA@TmxDTtB2Wps)=X{uvDm
z|7Dik*#98SjK;(gic(%_obd}-;2FS9Xr|!%^Vx00c>nn=^*@Xv-B*J3F4O&&={SH0
z_*}NyLim@*H}LHPz7~861czkp*L|0XQb6v`pXK>BtAX|-d4yMCP!G3Z@!KDO^g&@4
z#EH#M5c7kbgFdX056$0*nMMHw&*)&F#0=1oH{rJKwGgV)s@Yp&ln)FC$GE+TPbS`N
zxvv3B!EjR$z`Ly=pQBN12*b_0cnf?@1V;c*S#IPnGYP2z=>3}j)(64)qsv6ofHlr|
z#iMGuit`A-%0h+!{Iwwir>c~AHNad?1O`8?xCe1)6Aujk#Q^?|Z~rg51$i}wG@?5D
zic8+;+gDqd?oMaAvjTZm+-UuqdfS{f+o<PgNB5d09sq~3E<z$^8l^jc88=2cKGDS1
zupAp#l99x4nW0x6d_B5Z3H~?X){<FLshan~-VWgamR6fB2>dJ~n!XHL9OSo8U*@7&
z;=gQKN%nS;GamPxG8Fdufj3Z}SEz{1fe&#C{|}J97)6N!sd3;R0E?Ld5*hywa9=by
zMhev6{Gawfez_GB7~=?HT?;o<8{S4Rl~~($X59Gg`f~HZ1S2^^Xk7h?(>myn^G08P
zgRd7YGt$^j#`h0_nTva3R7v_)cP|56Tghx34y=;;-z;cq7=7L%*+~>NlVB7*0B7ak
z6BW)&!+GsZnVQ6-nWEE2YF>j%Qb$yJA?uOG^qQki-@oLvR|Z#4kHXv|;<M0sdpRtm
zj@jduJDY+;D;nZQTRTgMq-pxk5T>3l$SnzbofPT(uN*6lIn+TFxsOF3ik{ahM$g3>
zihK4Z-k2hYHm3JPH}30uh|I<9Mmo{cZf=*L05Jc$-5yV0CC=3%S}RA&Pq0v?amYZb
z9OstjcBz`Zv)l-g9jSG1f6q3tam66<N?5jICliyz0xsR47uROaqaKm-V%BY4E6n6w
zS?E>0*Tb*=fcCr}ViGyd-|}^<xnO}#s??~KZehe_n~eOtCsTU|GrrRO1_o+9_82YY
zNhDD(`G(wT^+t1Jhz{Ia!Ybwtsd=zXnQoG2zd~x?(O&ia?e^Rybl%_T3f1#NU)*Oq
z+gVaO4To#0Sz&?BxHr6j%1Y~kBkglrtZcPSmZx9sX!li!Ni`4;<yP(NsFgN3kG~Oy
z723USIUZ&s!l>62*w)!^S(u&>w=nmQ-1^?M%P3YD3*rxyFBgn2H=3x7+z#X;?MXh^
z9ejs_^x#u%4%T(9Mk)-lSeui)g$pYem~FgiG2rRZheP#NhV1qa#U1Ltxp0p^nx(Mu
zab))@7yOmTD#T8;0BNr|Zxx-iL3iJU-EOFK;s(MtJ0EKSEhJjfKH?+Lsd^m^aXO|K
z>$8&J<h^s!0WxVf(ry-_a=`@Y5`)VtxF%Hm-@m^tWS82oBAIggOodg=vvJ>l5WTOL
zo{ar&EJ&&WPv)jm7xAxVV@)6sdMbIT`;T4Q&XbK-i^@*z{8bTN8%zIL{L47q85eKU
zao<cS(~%36UMbF++IBZv*WAlwwhlKVwQ}@%OGA1`sU2t66VG)0y4p)@e!ZZy$*$U2
zH>hb{bjJ7XxB(v5d+&vp>fsu!WH~k>?^;5yN+O7)OZI-W^~CD3bDyqqIhxuLD>^P?
zbtZde)4Fkgn^Pqk!Z~(d$y){r&YGg}>b|*d$_QrAjC)||#(JGM=%F4xk4&_LGh-bC
zYN*sGi&}&_R-{xgErf90@e6W;eYRt>;k&svc@;JjCh}22>0~)r5Ck0&`YIF%x{Xit
zv`213ZsAQGnXebr$Ly`Yk3wC_gMheUZSKh>cQEGfmo&a(xMI?I&{}+#Q!GbOzm?=J
z8<uu{|3RL9Ya|df7a(XFj;Ds5L*<SsDfZ09-(6JV<rTKPG=p0bKT!RzpLIxwsCa&4
z_R-kP?LRCsO$Re4g&B$<?ITZ@W<>nqH@z>=eHmOv!zzUXZpP1mgo(gn-O7MB4ySqc
z1+wN?#l%C3+1~7gCV{9N<Z-jcPP>HaZaH6*^7O4mnS=W#wpo|KTaN<o86uq;;+Jl&
zH~tj<=(mKvqizx~;3=KNQ#38bp!b&IOTE0{TTYrGW*|z4%E*{twfONmkE1AKmKphI
z_N!w|r-r;PxUiDWq4GZ7XsS8?n`W-{dxoIwAvRwF8itRmoO|BtjKl>YVO%4Hk@US@
z73jAw4|)(zEG^ezg~w0>t-~X}erNG-ej5QMSQ~K0gq8vNOcw>=VkE)eOQCVzUv26u
zw6@vIR(on;x`Gx#@L62z-PGVaHnw`F3ql^<N#jm>u+vjJ(n}vMdANfZK?THp#t>_B
z3AyPt&<aKNpBgNzny(=<ECRbkBlzNFI-B(4sOZ`b+@8lwM<W&-T1fA2v)hS#^%^k}
zwdbGL3OE-u+K}{WZr=ynR-1*sqnMPs4L<^2#;M^#kNFIqi?}@>f%h-Y(g#*Hl16ss
zW*^3R+U}T)`u4F%or0U^I(R-imj3=0r#|WyYM_nx8W;EON?RHh_cb#V*uGX*aQGy0
zsc1!X>&($WiSWFlrT535pw+8_=~s=qF89dvzhj`POna%EU~B4I&Kzz-udKC!Wn$XS
zueUXgJfxdA<K#Uv=qruvJ2Ub<P(|%NhoJVNG1rsQujyL`B9<-EjoXic@{Kr`i<?LL
zDgzkiM8&6-Z+!*3rDDd_>)NweEnWWIvgLb%?+dK!*3u&l$MOf7^$L!mPrqG736)H+
zV<^t@j~S(Vd4eH<Jd4WisprAJI2P5Ncjr1Qh=KCIvb9n#Ss_R+I+4HgCVaA_ZbY@)
zPI8ynJlIg`aT5_=qd->0JgR1^y2fFbO`u{%x8G*RQCYFJVQ;K1wf0%EUCq?lE+|k4
z|K=tCx8k-0Im=`(%Sm;F5$*n@Y*nYcCx^YPpZ~Kw&O9H;TLic5mCD19#Y!SqorjDU
z6V(+MQ8Bq?zh>H0-ajMj3J2#)HNAtp^^YkHFKY-Hl?T<&TTl^G&!@L_y;HJ$AkyFn
z%yVt3<xdI+&X^soelW<`@)247KG_-EaXS$bv@LXo;Oy~f)hW#G6$HlXrvTcpvIs+(
z?$CM@c9$78!9);nphR`~2cuVstHXjGA&tgsi1d+fz=4aOe>6`QX~<xS(PF;W!z$a!
zQRC9(5z(C`t*SF2fw2?Cxs<!yxrg1Zl5YLmLYpbYD}~!suXFZO#G5x4uHTh9VjC8g
zN>VA>5=5}5?`64(7_ZWf`WYO_--h+{qlP|~4RnkprsvFdkhZ&}XzZ&?f}~hPtq*kD
z<<ln~*ueXc<SvV`%Zpa8pQ>9b4_!ir3c+fzW9;zbU!t9isQFyw^`s_~()`bA?Vf0x
zvD@o~;o`DKhTC)KQgC!!S1|gQMZ6}p*Vg#Pj!*)Kr8kYcNDCWyG+#nBwtQ^Vdx_=Z
z(6$Zf@NiN@*iz@#n3P5LcF!ocTtXRo>L#^ro9Vl+1Vhhrr=3}(O~1ZW+O+1j5cV)v
zxgf=$W?Fz&WY;+c&A_%UqYzIgm^O_R-0l`jLVHyZM3?x!M^m{Z?qU9#N|vZRN~kNj
z2FoM^v#ih3J&#qgpuS6D&UU%<QSmUBs?n5ZiGFQZ(^34r?D5Q|=*b!`V{gVAyekf=
zKZJEnyxnu6pPl2Y%cOohlKYOU($@VlrfAqruCrt+Cr4wpw=r8S2)l?3Z@+hH*hu%+
z@V@-vH*<$NJBj|oE>(Z9=5~GL9M9a4cQ8YJ^5DH`=RyqrveYQwjqNFug*O~=>=lSe
zyOj}rj3NZ}wQ}6atbqqDuDzt@DOzl8RJ+9+_a0y+6y1cFY7Oaxgp)HfxFw$+GsmWr
zb&;c~wxgORqC6j_c>wXdjTRC9Ibbo@yHkvMPjE$qCr}S+pSf`licKrR&{S50vBN?x
z`g>7%Nzl6NLE1ML-lR$^Yf>y;nJO3$Jka2u4HyaS*67P7eVTierA&vK2hHa<5zI?4
zKL#g1vJM|Tmzo{a2>W;(sN6z>(si4Cd(3HH?l#yfJ*94U`L1-w3&y*|=I-1U3RziC
zoS!om5k#-`ommuVg>2=)rsg}XMgnDJUk<oE)z=u!(4DP5fGK&W*eO16w?kO<v#HE8
z?b{P@fKPi!(#O^AhL4Vr4JeMzf=S8S{zWRCB0bVmC%#4^iuyL-3gR?O@)?{+*I`Ke
z&cbz4|J#95ToE0MERwP4NS&A@7k7KDag_y&DLwofLg{-IVj9LbEj`S`A=$LVH_xse
zMe#%3E8DZi-+IZJ1h~D_FxlR5r>h@}Vup>&1%B5tixYs|tr2dHfV#*+_nW^Wns&QK
zuDCuid7z-BQ7Uu2R(L;XGv7wO+f({=<*yWK<84)>;2PPe%DIbgA<{;+kG`%Y^sHV+
zN&dn-Ca4J6_{0qBTdXO*+5GfR%Xgt{GMWR;8nzM!@*LWc?6BM>2>>p=jvP(21SQ#Q
zl;htj$ap8*v8nE{Q|P2ZwMy+ZjL*a0czvtv(J#Mw1=T9;=A<2V(#-~$;{Had-uVeF
zq=|Bpw28cemb&=2crz+g%ZyeoeF~MMW=R~X8)W%(iRW8!coO!OzuSxwTz-UbKsL@w
zDX*p|y*o9R!YMVTV2HpsIrJHd(YvmDPmtr#@4XuL_9M~wK)G_lULLK4#7q#JAS0xC
zYk|3CAJ(%<jp{gjQ0i(oBIHcp;|_JNPsv`qSQ#{b8nMwc(90@6FrXf1;^tIfC1pFV
z+i<UazM%fWEH&Ixi=yc{y?V<Pk5lIEh3_0n#RzmbaVqjCmwI`Zs`5;amiHJ-x0i-v
zs3q3XE=en0ox1u1M(>ONsX6L&!{+y6Q)5aMH&|~-Gy@sne)m2n$P+WKhTvJ@PY%x+
zW9Q{Nl-UdC-#OP+k}VYrzQUSG0`~uTE8+d2IZly9&;BPS@7z^B<U*WkT7<qGQXczt
zjA;oW7hdiQ8LC)T*Qm2$GGmRUqi19>{KKoOUnwes;NV1@xNx>81EfizuEaQeSI|j$
z<5130YruAVEi;zgs_6=ftnpB2ugAQW1ItTTqyx-GyhFZ8Ad%<unP!$!)ojz!IKNtO
zK6%F256AAlyW5H&NAkAXlVPjw`qXnDmOIu7Hy6eF$W9?W`<5&cW26}EQ`28Ah&hdA
zmx^~y$OD}q(l&3(H-*(`U#^;86X(uy3Gg5Jbdxo-#5aqe0%nq#XxdSY9l0tc%=tWp
z64mz#7!uDBk@=if_%SVVjvL03OTIbwa{ZLu%Hh@zc9CNi+y^G-i`O))w?aiM`f~F5
zonMB|_ciB)X%nb!@2jk{*tsRdjxxn0+O6z9K449q;x{?pCGF27(|PO!PHF*fc<a+Y
zn<H*Hn=+gOr-;R7X)*MedCLflIY}M+rs#LN-LP=Q#0umohQMuiSd&rf`;j4Y=&oeU
zyYvv(*U_1#nDN4n);9daPF;+!*+^(ly>4+)o+Lt|#=JB~sj^cK;TUP&eWf78hpTon
zNzAR^X=Q*H(>h0tpJLdL3%Fj81O(%Ex2hwtdGR%vPXY^W$<NYU#mg0H4rJbec*6f-
zR8rBM;%<rJwe+Stfro1>W3$&KE|w?Oedisd{gSbMx{F&R(7JHQnVXm0)!Vk_S3t~N
z37(IfF!g@b)sm_|VLQ>uwmz4uLMW?4O#rtp$8Vlg9Z1n$EYiGoXZixFH0`wlW65aX
zLx5@)rJdUjzH662l%7a_M%$l|1Gwz0MpK1$3;M(`+trlY946VY=PfL-ZAz!JZb{1q
zCicJ9%w*}G(V*7E+1RDM$1)P0|EG>XeBfHQMekJlq<h8?bwUqt?F)6q2m%V!XbJYB
zoBa0`m)T185lWXy%vo=o{u78ZDs0-Cci5&GniWgU-y@8O?yTssWfX!Rbz_&$sD=j>
zobD==irabHq++wp0zM5j`nLzKfGh{q1ctO$6m;c$79c}=U5%WeBIn6oiD%yv=K%3h
zwd*g2j9&b@<TYQ#EVj7M;MOxd=&-$NSL?Oped>j>lR>#<n|DJ8Tt<IeqdP%M@7~M6
z6-lmrvlflHO_Ce#%S&R>3vMeOU0G&2qqF~lUv~d*@GH0NmY2#etP(slG4mgQt90;=
zT=%89)VsY{it2-~L2PRF{X)*8tcBa_GFjCzP1WfRbpF;cy#vkiAZsN&#Qrq++6&iv
zso;yQ4e*R#GYLCYJyN#z^oAkZ<cBq0{vGz@$6lpnVPip3<bkr1+p?1w&pchnN4X^a
zkmWMe8>|KYTK&N&G8DkJmx1@P#jp(nr(EeCD*Nl-X=Xsp-vW5;NyT0godW%pzNOO9
znRcjz;=IGuu~SG5Jd<P?G{X5J(8|hcAW7wYrJ)I3E<Cx3C*8r2YQF!9Rp$7_QqmLR
zn=P_J#B=wdUV&0a*VkFL=l7w9=%<AOj-bR{D2Th3vwM2KFh@)a881-vvqRnQ*vms@
zfkJ$XlqgaLT4$1(Pp7{hCXasCTTSV{{mRXW(eY@c^+>V;xj<s>OLAi*jq3Ryz}7_j
zAB^a9f)OL=07jI8Ye#%EAHRFb+%F<mHz_o49NM^;u43=#q*U$EYIEE98%Cg1h|5{w
z5@zGqsp6`Q8G{Nx$9)x-{ht00FLbGTpCo1VANBXTPNy5}TOfSW9R>vbM=slV4(czA
zt3-pe5RdTt-Zfe*?iqgVx{3pHuwhTAS8%&KZ0dCBi}0qhPNdADHG*K}Nu2P3Nb`NB
z49!a6fpU}kn{Uh#h4cJm#;e>!5dMp?{hS^C(^o4<>WjC-_TK)O@g4VE5;r~DrOa!a
zY+0<2`qrdBzlW5<x^Vj(8c6puY&%^h;;U;ZeD7nrXgO60y_L|KgEnXo$u42+F61oF
zv?2{)n2mi<V#u9vnP@qWQ@((7PTNi~BBa+#)M7T{-|^VcSzzp$o>8Li8pn&KzB~Aa
zeD2qjG$<Ouye$+$CN1OExNU+k6be~bjYJMO>5UO1B1alJ`_5=CDXCXMnu}0nol@i~
zy4op_h>0KWN4gre;<J1!YVrBTEV(WLo6kva0|cECu}H*crNvSx<+&^x{Nb=O)S#mg
zGawzTJfE@9`eATc+H8TasIKICGb749@SxwSH2oO$F}1_?IA8F}BlNmQ3j-m|G|K_O
z@UV)dgu@jM2=+y)$IvxhncV2CtVmWtC=Rgt!X;>FIwp=Q&ygK?jVbZ(2a3|fV5Q-=
zVZ59-SBw!v-LxNhV8&+Y2t_GdCq~)tj1gGmQ!N+XzdMLjX=lsyb2@K7gpoeVh<1>+
zl?NT{C(76I(o7}m+O%1-iTti2NM-S`W|eN^4^I?6j}!MDqD>X(cwmXMOXGuxMCqBz
zAhhwM^>TF*`&zK+&{x;z;@&BqL^Fj0bllo`KRX6v1e`zaogd43ok$S+;{J=}YU!LO
z@x1Kn-nR2dx}(yj=>;QoI)qBKVA{sKLu}(Yg6J310LG5>HSKlq!o+S<y6$aU*`_&q
zS43u*q3g6py-CDR5M9H0be>XPFME-B{ps*Qa-&naRry~tQd@VIV|cw4fylm*fHl_J
zHI*BHGmTz0?cWsBGs)lBK_m@#N2QS;PpR%U&g(YLRvN#;_<M+mZ&#Uno9L;&+R(2{
zSre>|zI48g2KBl+iXz})U|Fgk{FmKJSW-O>XJ6LJIp4*g@5EKj`TvEn1HFVgVDaW3
zjaG0+qo&7Otk1gRmUfdMLtIawz9URLJ;GomIW$NtF@8aV*cM~@jo!lO(c;6$e#deC
z(<3^OeB;%tn;A{-c9w48XYS0h7GGIdjPj-}eaoKyj$eX*u4a+D$Av&CtTWEfXo#>P
z;*-@va#o<re>y+EZePP!Dq|4rWz5^(_Yj>63ZR)WUfi_+GUWVb%ib}>^MO#@?rFGp
zMo))l*wbj~6&JR+i`Dz;B%RMz93n`@b;7@kaVqUHw#WC)?uIdWVq!G6J?#ZyhVtYe
zZYAIrwE1Ya2cbV&6-`rJ_UkUp?>k-IO@YuDX4u^vJ$h7m#oqfSe?*^?eFQp0E3}5=
z1Hkn+-Mmd}&r002c(FkD<C7x=0kBvX_8_A-wnSSGcj#St+)OYx3%<i^^pdpvTvCYV
zKIaE^w-n|B7wv-h<g0FL&#elh47S1%HcvvwD7o>S%Ic6+mFw`snFMohQ@wHln1hp(
zaiY$mF?2z1H&dCTRi}zcvms=4_M#Y!Te*V5@pBTz55}A8in-PIM}C~5z`Y*}IaC}b
z?Ner|2y?No(ch?Yc_Ln5L53*p9*_3eDHUw$9}~1#c}HU2BAtZz0ckEnotsgxhW$|S
z7N$dpZ=~pR*yn8Q#5SE7D?0N7(q3k7<2|#Ku_rN!3^XB|l}SGSz_T!I5HRa-p;;7$
zQQTwgRuLY#o~P9f*HZTO{O}2<X5WaxRA{53UOGoNMc7WVDIfY5Qn~aqFxz|X>4s4p
zYd|Yqm(|AFxA)mB-{)-F8n+ao&JD*%$I`dKNzxo@yKKhjU4r$g)n{w}_#Es#E$C2{
zu}5)J3k&?vQVgeY?2O~k)6X0J;>DSyCS^hF&(4E{j||`MZxaF2D325Yr(SSp9@B-@
zw5i~FBnqpQ7i-tKUQoUNEP9&1;Lz9L(Xq6318_J@9qlMo#1C|>lEs}BdsxP#ug|ik
zRU40=L9*uK6y~|%5~>#=u7(6|A#%ss{LsFo`5HCp=k48dMYnFyf{paYTj}eglad*b
zX=G-)czM!5U15F!36<=zOHz3vd7ofmBvqJe_z_!TyJ2caY_cc$7`L5A!o2{%2koAA
z^&Y!XAlu!8wULgq*Iih$u(S`F&W9>(Br<h_&*J5|KaJu&wWq)3KUA%{w)$}mqM!W{
z%d%b4fu=T`Zp%ZJy`4N_sP;)e<ggp6A?)4dm_5BMdB7yx$esO=YN)gPb=B6MGO{Yy
z-c)B-yyN0Em6kATeGLH--7CP=S>ZfAM%OWEI6YD`sU@V||A7ToNQZM?ZXxFnNQ=wd
zJrV&m8Z_3sh|8{UHXn5jy%g_^vqH=iU2y3fMNiMqE{%c0?iunPgh5g@W9nCZUn|#I
zVvBw#<<nED6ZQ&WMvPiUT75HL50iB@Q7_yavuz0~^ewNK^8Bo;IzouZ4vrSu9(Hh1
zWfG<<3-cf`pVDxGj^h2Ou$MfDCaQ?!YF2%Z7Rb=bZEo1zY`ternDh<X>Mb8~l>(=}
z2^y58?UrY70a8$GZ1(MzG7o~Dx?ZXqKNPQsyHw@P^J9RI%`oi6CveC)K4jK`*Esiv
z2L@x3uNWsvgegs4)t4rBWQ=bqFu%qC_*1*|PX{+$ztKaH$IE;*kJea51+UL!iB$`D
zCR^Ovu3Sl<_BLy*aT|T!Iz9;!H~wm!`))v%;~!7rq^CNP@V!1O?wB4q^~Wo-uj<?$
zkWF1W2$2#3->fq%w%VMpxf*A(m@z5rAD@_c%=ff7D|DY>*Vw_@DlTArD!j^<kcf}B
zb3aCIvdX^29}+Y&cnPyVHCUXr#XdkLaulI@%^GyGr?**dA^a=!N9`5YEaC6UDp6ZU
z(=2-ej`Jc<7mR=SR2R7|aL4A^NN(GyxQm2>qY*+<FvG>JP07cOwiT}0rKmU4F0n<j
zofRF2Iy3OgF+lgR&|`!Xyd-;a%&J3+id>ZG2a_Ac1wFzZsg_T+Xtj^knjs^j*uli}
z{~9x7|DQT_XU}&vRnk$+kKJ2+)A)-T6bApNTrY&eo*H#iaDu$+C&NX~G6Kla1yoM)
zXtKl2;}ubFP=uwg)p+(j#M?{bDk@%&w)$fJa)~g8f{Vc04qRc9J2Z+M_uS}3UdJ9P
zfV`Fn(zH};Ldgg>sW%Pydv+i<eZH}SJ_gREV_A6%(xR$CdJ{r}`vidGzo_aXiL6D<
V264xyN)Yg$ytJ}Z&V#>R{SSbut=Iqn
literal 39900
zcmeFZcT|(x_BNW(1!;ny6j9uQihy+KQ9!zY^sdso^bSFkUW^Jzk5Z*d@1Q6}dM`l;
zy>|$KQ1ZPA?sN7z_q*ec`y2O<JMOrD>>)|kyVhKD&NZKB&bi(luKq-xlAMVg1Oibi
zD#$(sfrud>5Xm<(Lf{)1^r8v~L<mw>(UJo`g27+{0s=xpLLwp}Vq#(v5)x8UQZh2K
z3l}bslao_WP+Yutk&=><ii(Pwnwo}&hL)E0(xppubaeFe^p`JRW?*1oWMsT@<;vBo
zSDBcYn3<VbSXfwDS+8BY#>U2W{rdGAH*T=Av){aV^RK`Dx^?Ro2L}fyC+F?kx9{A!
zbNB9DE-tQn_wI3XbMx@<@bdEBzki>PkB^_9UqC=WP*6}vNJv;%SVTnR!Gi~)qM~AA
zV&dZB5)u-Ul9EzVQqt1W5D4Vq!-tO^J(7`;k(HH|laqV=__4gayn=#)qN1Xbl9IBr
zvWkj|s;cUfCr{MW)YR40H8eDyK7FdGsi~!<rLC>4qobp%tE;D{r?0PXU|?WqXlP_)
zWNd6~Vq#)yYWnQiv**vBzj*P&%*@Q(+}y&#!qU>x%F4>x+S<m(#@5!>&d$!>-rm8%
z!O_vt$;s*E%a_j1&Mq!4uCA_bZf@@G?j9Z<o}QjwUS8hb-abA)zP`SGet!P`{s932
zfq{WgC^RT2=+&!N!NI|=U%!6y=1oXQNN8wiSXfwicz8raL}X-SR8&-SbaYHiOl)lI
z+qZ9FFxb0y@7}+E|KY=jxVX6Z`1pi`gpVITCMG5(B_$;%C#R&Oq^72(rKP2(r^Dg!
zPoF-0{`@&3BO^02Gb<}AJ3BikCnq;I_sf?rd3kyH`S}F}1%-u$MMXu$#l>I0ek~~}
zDJ?B6D=RB6FR!SmsI084s;a84uCA%6sjaQ8tE;Q8uWx8*Xl!h3YHIrS?c4Y7-<zA8
zfBg9I^XJc&mX_Am*0#2`_V)H)zkYRebaZxhc6D`icX#*n^z`=j_VxAk_xBGB3=9qq
z4h;<r4-b!wjEs(sj*X3tkB=h|h>3}b-@kuPPEJluO(BuU>FMd2nVH$y*}1v7`T6;U
zg@wh%#igaC<>lp-m6g@i)wQ*?_4W0Qjg8IC&8@Ai?d|QIot@p?-MziN{r!Cu3UzRB
zfJUPa4-b!yjxZR^@$vD=$;s*I>Dk#C7K@$zYU~f3feSAc^j$$9)==Dk;Mj#73lQi!
zNKy8omRHL9q&IYE{}j7}=C7lmXeNkYF>ou1nD*CR?WLftSEv1XoNG#d9G7>Ud{#r^
z?QA%zH6zp@uR=Q?m3w>Ie{^+}qSt4bf_k1_Z!tmTU7|V1FF%g=>na?*ZETK<@8<;)
zjiq=6(#@xC+JGR}pRN#spw;XU@b&8i^dN%&|BpXPfPW-fZVq*--EZ!6tllz>+$a=}
zD5@C?X6j=oUWy(JoXX(alZc$uLB7*RX=R2^f5x1>W3-G>STw(;b+Fwm_5p@Tlh$Wi
zEx9GjLf|&;ZWx(Wgly+BDb=BY&**!*9C)rX!6SWF>_TL{h&J=Kc=dz9m@P5?(Y;5K
zm9N7dLL2)`cMJGOwPc_Hl0tJgn&NlwG^X*VVFDeROshbWB4w5)(6mm?MN|G)(vN?A
zx!fWh1`VCHsBW}t!-ja<U(h%OV@?c?j`X#`n0RM}98ARrwH*{u;HvIMlW79zG&{2K
zMgD*|k8Wb%FS4^Mw{mpovDXQ%MI^`z9H(7c1mqqjT^^7kK2n6{u|?$#MoHG4%oddO
zN*%W~qpYlSkWYQu7T6&_B<R%$QU2mD$qh>LsQXrQY%90w`Vn`mpikH`#K*lL(D=Qf
zV1Dt+W9iu8&XEyaPnU*T`og=^>TS~BE5$?Lp|dLkD)LLOy#SF>;M%wyr}^B#!v1Ro
zUMnG|$u8hk{0#mA;*RqbnAWaUGo`I6d+lrR%VPLv_qu8nV=phDKinU_21hbsWvRL=
z?loA14m%oNf-gw8S9QgR`xKt(TcZ54(1yYUf?YB@mCD&Ub&r<s=;uj7OhwMZf9v}x
z7lTgcc@s=Mj^&RGvD@uiyy*d_##`}j_m!8<W+GNZe(%*Zs7gX64-R&F(s>(posf&y
z>VAezaH%up74bHVi$IXS3O1@$7Wz8NFmckRp8Zk!v3@o}A1=Wu&H^@C7)?C(er(O3
zQLmjbJCA?OT?#}e>&Gsa{W$xQ<#*A7Ea3K3cY=kF*!^-dl?YqvzMQB)cHNpHt?ID-
zK;Np)dsHR8n}xOR@~*<#K5B;#ChW`CEv3Zzy$-`GDp5to%w4I%byM|S{Mx%ldSkN<
zRZE@TvrCCtAu`gg{#n<GzpZ^?{q2$Rz6v=`>}#B2!)7VTVq@<ae6;;?Zbk*Is~zD@
z>Rw6p;=Mp4x8FiQ;HTmzrqajcV)lW%C*`9~KP`UDo>f1zJg(?9nekkBd~~IQ_E6o=
z^rT5Zb)zP+Q5H~s@zuaJl(d_nz67M$!Rgd)<wVw_Dj~oYOFH>-hN*1Q$t&9w+104o
z6llQ|M>yo}RGi>yB5wC%k#kq)sDU8v(`v2R4ro$xP^#PKa55yZEj8->m^8ER#@22`
zfWYu1`{*b(-IyhG=fw<{h|apD<JKXC<kavHd(1v2y4pdnt3zYFyXvG}yy8Rbrzqsp
ztD&>Uvxd=%DWvoP%wNA8fQ;?acq^pW)rg&bM3OEGRR(hTHwvIJ%D&EG-|BB$NFXME
zcU^^}J>513XV`r5ZK1VW8#^umW)m+98I4U++PKuO<ZX&GQ1-D!t9dO>-H|d(w>hji
z<JhJ%n?IdrPS71n2~@~dGpgji@;eQ@dccS&SDw=JdXumg(!ydt5iq#(;@Dw~S`AR%
z5qF&P?K9p0>+Bh~H%JnDz!3+ryy(%*l3rr9qVi%c2KdIR(b<C3=%;DZRmE1Ox$n=)
zT;-u>`I=`^sVGr!3kWqPp6=WiV-~NPz}Wa8R#)9G*JoW%5MnBba44&4_4TQ_ooXWR
zSDDrp=El*}&oj~WC;L?DRZV?gj?`u@n-noKIKMX|-8+5w-1ZKe%+;nW7pfL)3$rJ|
zmdSS1wl)fkVO%n;Ukk_f6avyD)fS>R?Rd@v%PdhGi$A_EnflbD)X@E1cg?)1%UqAQ
z?S+s*PRC25O@52kX8KLjE;hYsYgb~$4!S<-1ODjQxc(43pRjaou-mAydb-8CfuJhK
zV;iw^!NKrmB{TnVcf0icj2Hz*!_K6J=nZUKWAn0Q?HXJ0Yiqr-!kVIhV%MSv*j$u9
z!O#Y8xwEBnoj8LZYKN<g(*emtN9ou^J4$)VUGmw#Z7^s3eX7YF748KyvNOZGYw9Pa
z_0Bm4=+8}*548ND+0-4!R@$Cj)FXMb;MyZ*L|=-f)S-dtp08QWOfe?7x4TZovt!--
zo*{~V{l}hK>+Wr{%Api*{_IHlqUPiEjc2U;&X`Fr)8w2f=JLg+2kE-gfeoWp^4R?C
z)}?7uL~`S5s?Egut+`B(F{V*g<**R(Zf)_vx87rz=}Np?bg(>b5K?}BhDlN$+-#yP
zrt~**+K1I@2X04Qe*Oj*4!#E}TU?7kMq)$zN2zT-e8v#EjW3@B>Jb*KRDK2{P)!H&
zYO9^W(F?B88&iC|(N>QOOR96mYy7>K_GCs#opn%M5)xv2kQ)&H1CRUEu3U2m?|Qo_
z2Go}D@=9y@d+by9VSg2{tXn7BrC_fdjjt)AS(Trq40H&07KZ2~{G!-uQeSKt3N-F>
z`0n)6PKIr9t2^ad{p5+R-baIuHX5VE&{_1XDL=+X;B|(|yH#rSjrpHGYc?f3hYXbJ
zWsroUhg-)LEf%d7A3g}pqD6Ejb9tE~N4mu-XKH?jg{P(qIwW|HiI?f`fKU??-zAoj
z$<(nT*G!VovnM7&Tk5EZerZTF_RYqU{fYbLR{tg+`c&!b=U>aK;U|}Qz^l8AN=_g3
z*8>*@y){g>nRgI<6Sig~bv^YfcJ90xoy|i}r9!@SNYXbkVzc{4DHhl)KL5M{8MIrB
zag8r`trOm0fG_%e@%}XzQ|?}uZ2#Qd;kWd?rh$a$mWD2&%9$f4=Q!^wO$o>;PJtNd
zMVY;m*|B=YB{aETXdW`=4D183TzJ^iI$URA+EKGv7uQ@sGMw}5jWV?M<jnx5Id!&o
z+ni&UzXE((WVYgy$ebq8K(CLz2`Mk$GYfvp?D+0%F>{fhQInXKkf~2HdaC^v_6@?^
z%P7=?jwFt*7xN!rT*Z7_M32KGo36%E4<<;4TAf+g4jyAHTL_1ooJi;3nj=4QqBjnD
zeVqe}zj@|jHkR4otq;1z2~`7aO;}*Y%7+rMj2UT3>zZF5@j;NzQ_r@`>bf1s18$ly
z`}p>Z4b-~DN&WCL!kbjD24_;_eZ&JoZdH2%Ep-1c%hyRxvk}D028#isSAAE&7+tfS
z`}v)r4uqrqo<1s$UT4}y7Clapq`Al`s-ED=o-3aJAxql=)lbLjBc<N}0QDp;Z~7Jo
zi<dup(`)E8VR}2YQF`lXl>S8Nw#aPBCy~8Ci64b+OIKr!H%)Y<Lf}nVrPM7;Ey?IS
zK2n1uJz{GQVOPUBShKvSK$l&DqZQnfIo81nK7yU<R`WYd32OZ8#Bg|VKkgMH<NC#+
zGjb&{!ip_GA4}#sRPA;R{XVy%d22S~cor}&cdXz%fj7DXIZ+-Gp&Ca&7er<oKZz_1
zHeQOkG41qaU1rC72hB`r^oCcpi(sf;t2%n;HU!F$PRMFrG%koP9{X*RGC_N%H>h@V
zL%qTkE@GwQ;UU~O^?~&bb4{RN*$3<UOOR16y_rk6b$(zc`JJ&rBcX*+_dKxC)%MG(
z-m@j;X6+hS?l}M3Qr#lv*Ie1G!}FvdYA3O$u%rINPpugsu&r^#S%;B@5gQ+m9CLcr
zx?O=+=RvVoBA<JC#l%j7gS|(DXC$C^OX%5mKfU?8^%GpTC9W_xv7Qp{6Pqc^H|%B+
zI>?;f2M$hH$buz{^vansANE~Z;Em)sSK%%}&rXTmqv!`B`;|(l0Z*t|yZRq_TH78S
z{q+<lPu5Izj%(}_zO$B;XA<Nz@R3xvCgG6>jv<0g67xU0k_b1j5op19wklTLHTyY|
zj@T$|(xnml@<Sj_k}L}+8ZJdnk**$)lT)|$03i}&{M;TB*3exoQr=VVzsCWDoNBq>
z>(+Jlil$Y^kOu4{kJg$G1@|z_B~FJGB@!JL0>jC?gsd{PnaHPrcMeMYoD$H|4uskU
z__QKX%%dYG$5-}DyI5OmuY)n-X5$-k4}7msdz^};p3Qi*HO)>$Eu`0*u?~Bdk$gly
z<rdZvT6mI5Zr}$TYC^4;(auTka;flgF)Zq^{#A2u$=-O0f~0ze%7CC@<k3pr1!>3k
zN8>w`v66B6>9U9onYo?ctj1E|^QVkr3!i@<?YvfTHCz0lL5vUL1Vfm^UI$FDRfF_d
z1`xyJyl<Px=h_IJ5vxakku4$X>oTqNM6PEV>h598--3)SF1t<4z3P1O^$h8BLLt%S
zH{^^?bsc`slKy5(@cC4ZX@jI^>&w&0uUCVZlbD53>*KD>qYO<A8wH@aM$S`=-dfqV
z0J%wQFV{=abE^*>zQ}uC6XF>)ILED%iR3@Kn;d6oFN)SbZ0Jq(p5ZkxlBU=KWLICU
z6yH<h4Ln4J#-^M9&g1Jl#l<K!C{N`p+rFz-8+O{7?us}7EdtoGM6(-aq3Z|L5FxjQ
zJ;6{<o(Jt;kU_Pj1UI^?cJ>D`86~L>0JY=E&G``h%@mO|;_9?BKG9R}JzSz6m>^O*
zRs3z?*}5NqIO=8$yt=S}H_lVzXBBP-*GlLlJhTsL9|>`6HT4C(+mb*d!$w1-z)5w;
zZ)fF>U$VR|THM}Jmx#Teng;WJ@VP!i8UBD|xn0NA7!Fd!*6<ZKofde*=j@~Fk_U+w
zWrqmgT(y2YJyDtbess@zXKJEHVtEz?X)t{_qbcr%iv=qi0{La=`jd{a<J~U8y_=sr
zy*Bb~19p7iQ-PmeSua<O;Wc3j&6XdpG~N1ZF6WW0H>-?jhZueDO_iKz-iL>FiSh{&
z+HCN);#9PVlc&Lfn9Ns@sx<P&R&hXHT-%D=xJZ8~a<)EV-^uB{Cku0<RngIe!BIxW
z*A`zV<~4ZE;@tu1w5q%@u9x1nq`j<>M7ho_-!VEpzEP8*SN5z-ua3T|tFHe%aAIZE
zR@}}Fk;Fba>i?=;dEzmJ17ZOPwX<Yt+|9Cys(ah_2#ftLF5F&IuaDgx>}sk>yJjj(
zs0K*4qV38-ZQFkKYgB4w_;(%@oMdtony$Ym-|(aY$x$)yHfQuaBbmI3&Zb-Xpyx@m
z@L5w?dhZ5m{7ta0`^%`9W`?Z>W0M|<IpzEQjdZ{EE>}xb1dqnZ5xCiS`d8?yuii8Z
zsGP`I><Eq058dcw^N)>g=jd+Dsq^D}hc;b~jzsH=9LHu(J`tIaGG0B2_HuZ@JE$(w
zJJ){p%#T)M?-$ZLkQTPf_aP@rW=HCgS-h|9IBCLzVK#Ve9L1UQ;AKV=mmiaF*sfDs
z_e(p~?0;U{G<u6{oDa&+M(!4jK9>kQ9v<Xr+)NuK^!NAZZ*aIdy&-MPzgO&N`VKaS
zB99<1&u~6kTzr>app}mmI!>}_s+mcjs(4qAeT4NtIpE^0-Ht#??i5ZS*qNDlUluG$
z*`?KaV<@S)(MG1Ld>=m5%Q!ojyuaf$vM)ClYH&PD3;#9ke$!OwP<YQl%uok&|MUAq
zLZjZbo7xpUxsfjovZ!x{koB!<bc1aJs??6&NaqhxCl>$WIw(0ziaWX@!}$cFEDzO*
z&7<nOm8b?DUgtdJ&l0Scf*I^ZB|~y9BWaFsj}L>B8Veh;gVz$AMnI?Ur`P<n{pt{I
zVP{pRHvRhA^z4v)d3RE4hlxkW-AI#_V8{s#d^i|H{2~NYc#Y^bjR4VY5RojD00Q}+
z{6VIB_cbqD^aTQX2&OYMn{`N6c2U#-De2njsCpXXmHV?tiM&r+Gv}=G=h?7?h&wvI
zCtA|;aF{SZ(usv0Og{Z|ZDMw5+^~4{S!E37Q|1&fe1V-gZm2Ga(=)CBRUCWo(FJu7
z<ErRj&G)NtT{{PEv$n0G(<`;5AExrILwJ>K<R=gJf@8)#p=SfFq1cNg1oYpWNYzpr
zo^_MNfQ;37`D?TdKTh0pQM}WjEd}B2d*nJdkzf%oU00tFb>Z}?3b5^9;Ed3Ue$z|h
z9&p#VaH=H%VYB7rcd^;L)5^wnAfQL44kD3<^4Rk3M${BEP&RfuwIw{6sFe3#>JHpV
zU=yG&1o<n>%i6vF!rmkzB4v}$gPIf>-$-fG%^BQUw7lynSmn1l&s{6BkJwY<0!cHD
z^E52>%=j}eOrA_mRygLN7C*Wj*0*y}M}df+y(C&rWj`%k*ej<K+nQ_?f5808On@=~
zTx<Er*kcXrdZBMiUO(1X+GhO=>9WWVe$}n{t<BA1M8~L-|IT+BIOt*wDD_@V;*U02
z0|_*ywkckBBE_e_CbZaTbA}O~5IICCwHBe=GgkLL4cfVQs+rj<G1-Y(brPXlc{wdQ
z7+3*Qm=j2ptN=}VnA(i_cRlB(*aa%YneCfklK>i=zHUN7BfGxFOOL#;3m-L+k@b;E
z(l^*UWaF3iCva0`v-xOOUQm51a2o1LwGV>Pnyygf=Y;Qfcad3x5l=jh6_DQUGn<Yh
zbcrVG6(O(B_k6%!W!PDWI9{Zd@W6yB<W!}oN`WzN+NFA;S;1nu=3j*>M0MspF>2fp
z3%a>iwVj(h3^w8?Wy?A<*CF65Ea1Ebz9!CNxZ=EaZ0Z4BV$$e59XvgJef{?sEu1t`
z!i>9#)8*}%CUu{5qQjfIx<iOdLeuBRP=fmp2+E7w3CBq%Wz*b|R_<0X>OI8CR5O~U
z#=6Ge%okduZ&*7&BG?&%p+4oVM=9nuPa2;XQuKL7+SA3$5-q>tl6M>`DOsAPka8B}
zt#xjSkLgaPYFcH@x7dk3MsJLL?SY4zV5^92_1+5fQOo(vR~;G44oC|kEQaEEEw>()
zk}kK+md8)!5-*307g2b4&N!3Qnmp_ay$%LrmOaLs<mZU(TsErErAZ<JhKmJO6+^68
zGr5?{x$x_*aNdPhwfHRu6-{OVnSxH*MPsD{kpC@Sh^9{l1KiN6j%RH0jT9+H;kf{q
zsY^?ehV&w9qqp&alu+u~^I{Lf&4$r<<HA6YnoVGmhfHe>+pw{rQ0*gm3N4kl`P&9i
z$28<(;LX#VrmMgC=w7uI4X_~y_vK*eJ!Of-B9@Msy}u?VRoP%j`pPuF`B4*bqJ-C=
zLS~N%PfW9+xLp(KxN9U?mZ?WSm$%S+{N!!R2)np>_7jHmY==WxVyerzf5}6ilunY0
zjh^u!er<7|{HPR&7bpei>7!;_FvrcV`xd@XTc^fR9<PvkQ1`@SH!XW`!^oR^V6Ygc
zxObU77px(wC00!N?$#61jaXfDV~vEue1Wi-1l-^O!9LXlC#*+=H>^%?vgMe4K$AVx
z&>>?3oL8r!Y~ug8`x=}}JiI;)d+`m}7CA|oF5AH$;O)6p6);!(18d^p<QXBztjx*C
zF)sl_6)yZb5IKhMKai$Ceyn>bs6MY#oO*z6j9xK@Ido-P*e#JRCt1>-azD#IUH6cN
zY3`<flY|sbPL>}qj`#17m}2kwu`fYTrc;;J220v}Pub*$*AR-?Ch1%anUUqa=``L?
zGRxc@w!C0A7E+8fB0aV$q>)kg<ICUoFK#t>__QBC_TipiWw@fcq!<9LEV}vb3*&&k
zm=!ZyPXJWlrY6l#Nk~~;o%h!#=0m0HKNjfrZB@c4`+_YBVL9oUfzt;Fe&1xf?oo-)
zYVYd(cUx7Bs~(^nTo+t68rtuf?PL@UY?~zZ690@AfFO$)6F;Xrb#2+!rD<7zRN&pq
zNZCteTTo%++I2m}{8&{+R0t5bZHCE5mwgao)T^luZl@UU35j$|bV#{fSnY}SMWr8r
z+{Y*50>ZuCOY5T`zE+m5@0s8m=CX?_SV5T7k!N5u?2)c7TKLI)U)QUH<5a(fBY)yA
zu3dB!k>v|?X{Oct8=XFir`@o67WmylmaMhgrTJ%r^`y&64sQG6&dtv@+#IRXCoqju
zvb-Gp0hr=gJ>KGv3Yd)pb~`rlmFmXb_gEnUx0rS@Qk5EeOtJ9L<Aap0$B1X^d;yEY
zy2vc)!vMQeMYZZ@h}WNtyO=dLz^kQob;_uS{S8kh_pSg!)I%x0)Zd`EhpqOltI=|4
z9frmR(8lqp)fwvz(};td2bLW>n8Ng&tNEiRh`bMROb2fCyd=3#J6UCxeahUkQK<?y
z{W|Xi`a(Q<O)Z&Rh~u{G?;}LKf7D0Ym~86TV!OvI`?FikGEyc7=$?*qk9a?EDk077
z+`N`HcB^WIq-uFdAsncVV3aUj%`fYZ+8^;$^)bcU-*hQ2d0>RCh#8S)t9&HR71!3q
zZ6Z2w_@+t)%d^f%pv8v<sWu7NL>8%Xhf3?&qphAG3heSa<IOgOdfe?VuOP)5vt+7R
zc}{QmvMrO2vQ=oKF$ex3-6tam%l`7z+R-KQyG@>(JPpj^`%@Mt!H-qV+gJd(OwvwK
zj?6{FUpJ{ZrBiA)VPhcUP9NkMDa^HV*|y>U`%9I9xwFm&t5nIath05iG^eC|`Yjde
z$CG3ib86UBZ?z}E^|W_PaKgfcIynxatuLtCFjN7TjIVOhx6b$Ms6-?GYW>R2-(<CZ
zuM`-ISB*ilx4(dsB>kJ@=ZC(r7LM$esa4vxTXRF2zK*!j_vc7RuiTq#>?o8L+|~r=
zN)cH<hxUk-zqPwFtQ~4|RCE1!n|`A};P}~1+S6;NcPckcX>2~Hkg3a%^)-XE8_1hn
zG7rv9Q-9CtAAmNj{2m49!VC+tFB?d2<$#AS5(vJ87G2@lr8`dD;kBF4N4n)Ty%~*c
zaWo4EhFFr`If3#*uiS(L_XP1Ua}11nKdO0NG&VEGzJZFpcd^19TdyGA+ZzrJV<QlJ
z2IaYWuXHA~r*coWQqak4;ME@FbV-zbvaq);wqr7m1kSJ@uNL8?l}ALhJZmhA@&AAv
zGc?aMVS9eWEBBOlRh443VyUCP*VLo*fa)wZDE2C3SbtE1ArxsxK(J55P3g%LXAzLN
zUw?qOumpP_Gx$o2M<|JBNcyMf{Ez^Zv7zCWDW>Lr!rV*L<4pllf)~j8WKu^z7IYZK
z>X|}^KAcV?7F5RzTY2`DDIq7n>*SPp!r{ny5^JCSxH^=h-m%rv+3112KnTjlcA3xm
z#Y1g-5TA#C-oj^>&I@%wxtti9C-;AoM}95y&-eY9WKn#(w(vdyJ(Lw}K=AK>CTT;{
z=;f;Z!AqeC-CdU4oeJ8&L-b}%oE^0B<#!YRWCWVYWyjO<$7A+l%h8@*f3_A^PN)8c
zPortNA;%VTys72d37E~~b&sC8e8K|=l;A7Cq>jF5*@iDs`2fbT2(akcF)>Y<VSxKu
zHQD5>5kBtJf(ex7$1>LNmu)u;*X;+CzSe#EGwFi+_!71W>JLz@bt3||GzPvY<b?v#
z<?p2<?SpEo#SWf@Z90zN+SCGplc<#?wh7J5vqY6nU-mV9)3CbF`9pzUc>U@U6+#Jn
z6VJFdPRe%@FPX+vb;_-hq`SA=vRa=E2NBamTnD()<9kE#25NLGb32Y>+>qWBGy9V{
za~OAYc6y|QZBc`=c~e(2nEhts0HY2t>NsPS;?4^^|GHOHeOd-h#fkWeDEFd4oW4;*
zNxSBz;gP8<6Zfu><%|!^tXr5{WUDW*=kititX(}A^5|MaEwAjsojN+e2*z(C6<(xu
zWcAY5ApE(opwrNgrW0ol83h(bcMQg^8^^CukVcv#tL&V1sPAqpOZan?x{m)@aM@tw
z>MWaV&v0N7C)=XK!ezK=y+mM7ifEZ^>y=pQONpua)g$%>WtDCvo@JkWu_h8#MuRf*
zpBI#peQrX)W5gHwf<|^H+3EJvBfyx}3u~6VuVeX>HcO`TfrpE+CweI(E?daOH(1uO
z-(yQqB<~(__i14nPezd+pSX=Ol;F1Jw_^yU!AWW!R^q6=c(2lhqA!2V;k&ibeI@Le
z@l#W4Y2@Yc>#oW}T;AX$mji6i{Kn{t`IQ74y@04n4b9jO?P_W6l9xJ@zC<Td)v-LE
zVqR$Y!im$%ZLmT6EeP9X8+4>E^7NrNu^%@xd<84Cd6sh5#ba?Nl3hC0N&q?4k|&@!
z@O399WW}d*RWkE5(aFwkk!{@35_S{2FA^+n$-h6QoyRLo4JQ9qv_ase29r*TRGTN*
z*UzYnmYwR6ID?ow6z7<fB=6T*BxbA-*kG$`4i8ydr~`&08J%)&EsM5Pxyg;?nFjoQ
z7XWZ-idzuvMaZaNNA1W`d{Hm4wT~H0WKb<~{h5T(xZ*tOWJ&N?TJhj?s^*2WZsKBP
zR(hwbPl3jSARA7MZUQ%0JIKyE3~)9^QRTp!PLtFX>FsxpdTsWxQTx43k|-XVlMxGL
zQ@bQNhCGL)Sb)5bT7qlEZc$2KiA0BUL!@)xQ|c6OQ;u9t4NYa6HcDK>-ma0xKI72i
zEMj=0Wp6BR{sobJ1msj6K@s74omoWI7;HF8+R?Mc2D@=W!G^MSFW6~WY$%RP)Q_7w
zZ*8I%F<avqaJOI9qFv+Di4m^y61Km;l`j(P5d#k1L7)3EtitFibag3}In8H$JXkh+
zjL<D!A+_CjybbA8=rFeRnj%~E3PNr^%^s_qIT7HYn}s4!YZFiZDR6lytibi#ht6!Q
ztqjb=)lUQkqy%5>>OiV$0&Bm7Oi+ObpwprTlW9je$GR-e%+ji$qCKNZY>T&N*eaV5
z6L+Y1`VU~11&{SJ5v*zhEpXxx_aTG5ER6wXqum_!i5^6`XDgnf-%DnEmo^9LN@TW-
zTctlH5(ph{HJ-f?mvm|CjOoeQe$ql+ByF3&iP|{6n0(|=qAH1>N)fp$t^qJd(Nng2
z#Hctddo;4fUjI?ftsB5OIk7%A_kHO=2gjCoEH9k&-5ZQ#QG`8Fegtg6Ti4wBsG(dH
z=wQL<cIoydR-S49<&WVll7Ct-_!Q8aJr6_T(*RxvdU&Mp`-ib&P8J3g$!-tO!EUvv
z6*El%<Je5SoGc)>(z})#pr?em?Dw+N4H&)BA|J7j*ns>HO3b#9U%njgBNA4CEm(um
zZ<G@O!MgLoos6#`#)ib!Vy8bf{MW1aR?@_sAqgQ<Kb-D7r5?)Bw7`w3uHE!K6N-xQ
z>E!h0o*~Koad*N&g<Sp;2T)5G8*#f=?IhR?;@(kc28t786EdY5S=8U@cVK|v&F)(a
zclN}Exwv<40$O;zhSBPjBer;VmmUB4e|#}Tt7RbrEW41eM7=#trhYkt7@~EixdOfh
zq?WHh#GhpVaN7lzr=bBpS8YSwyeLfP$keZk5m`si33FT*``t<e`XvL+(>uHX%`GU}
z2T{j>w7;|5reR%#*s*}gWkW%Q&aRf=u#VaDB|v0hAnl!>4xrDanFE9p4+yk~UEvV7
zkA#KJKxKxNpuCm)hykKyz$N(&NV#!0ZnRpe89@D4j8|rism@1hc@*t$^N@n`W?xBy
zWzGDuLOn%+vxS?v<d7KzJNz_|QFo6hmwXWt6n3$2f0>5@za92R&=ILTJ}~W(e3rbY
z{+~x43UOR#3jDG^%|i{05>>y>WT)%%G9eVC{SZpfe;q;xwN-%#Hs<38kb}Uq@VmLK
zM6x$qTRym-uVGzpxbofj8X(;8N2s-*4*moFj*PZ?^o6k2RVC_8K#O-j5)yy@&SFhK
z1BVEb^%23D=xCzl;;#K(04$2zDE{%E$IOys>bJUr2>PE<34#G-GZ9%6;O2R3mqqI7
z{ZFa2%#=XD9<A?_CV{lf2tET_0V#0&nMghQ4)}kwA|;>z2>+i=1ly`y_y$;uauL`j
zVDE=e4iIh+z;d8>;eZBky7_<SD%GAO(A$3Jia*!&$=XAZhMvJ6QvhBi_>oW*L_i-#
z0!{*%)>B_6=i-vA?!@^tgeW)SOC30@Ip<vc+V@GxWrIcgh(6Y{0<#+Z!-55R<k!jV
z?&2TJdqxG!<_f<6P^o`;2H*^!U$W3VoH+sI-U9vC%KtP>%aBq+0oay)_~Rug&eOVr
z{x9?moC!(-K`_qY09%3HssJ7b7_cACq)G6%%+~=ApaEn$w-o`@oE@UAQt0-J3I15)
zA3lI{A(G*bpzDdiK|dENo9O@R8=5}&1^WE;>p*aw#5t$V^IFmeyu_rn+CIMF5%V1G
zI0L5y@vS6r=3v-g^MGY6qtW}D2D<2gH9?MWe^Q`oePn1WEYwJsr_mYP$jUr&Rd7ce
zD{Kl_f`HzdFvlun;&Dw#p~)U|LJPru9+jm?M!;<&Q7g$c#nl*We@-_W5U5TQKx3!H
z*92JC<SgR`I}0SKm@E*+YrSF0+>p^JzxE(;5j$>U<o?wJIf8v#2W))F94aQ1f!^OI
zPa|{kZONRx`>0Orfg=|XmDOvJRA~=<zb8@3F1{I>@n)A6h|iup)n8o78#j1Mc`)80
z4Pmrik-`;$^Kb3kI<l)`7{B34F+4k1UhdaiR!9cKRBd_i?IA_+8m{6{-Y&iogzkLn
zNf0{hzyuR{(#nDbNy^TH%xo$>IO^JKb_olY(A^6U*{!@QE(5_H=QJViH&12QQ^~FF
zR=Bn;)wg9i{V5hpK<0&)5Z>%-hMn)_T7B>jTp6W?+}JR7ajH6yG7zl1joM~&jf%c>
zRrCI~j(ho{obeIKpZc%tW3f>w&VljTpMmx5g2k0DfN=NFyF191)3vnvLrkMRjdvv+
z#RPNr-!$K)?E6(I8=w;Dx`bFTmbJVZ$>tsxg04qI+<<5om|TFXo5DmLH(bj>r#fFq
z%a{glu_ud?8n21$wGD;;o)_TpCv>ZBzi4-42CKc*Gt3yC`NS(=W}u39?G{SJx9al4
zKRXpAMVOjrJN#4?9u+?AcQV3|ET0!{4K4*v8#OGBx-YtBhDdG<>JXiy=5wNDARpea
zkm~}Swum&&4TwN06dG}L+RW)PxndR@3B}I+Ex!rB^C(=s!tUbbEqSHHyS)9=0WG?U
z&n#x#${41KT@e9f{8OkUx6)%|8Tb@1W}_Lieq-SHYPxVB(QPRFQ7!CDeB<Iy|ErN<
zPt?01cd5EKR}#$2GW&#@71tvo7!R9QC2lW3e45TqXs=j6z5UYa7Ofy%wRND^r?HCM
zzLsFo6%;U_U+Ztd6DzD1IEmLFF1*|nAgzraHBOk5ZS{@q<S%MgqZJ)C2zZ#eA|H#h
z&1GDC0xk&BEBY^r?K<w9-miB$FKz0Y%Pb*`<s3`mb*)2p8s!c7&LfwjPlA5*N>+l7
z_1u~)Y-aQ3775H4?><w{kN+AtVkZ?HwOy)jDvL*bJ?YCRyaG@o^-o5!1^|=Y+RTrk
z7ya!kkL_(1S>$1%q^}vS@yOlS!0fSa#QT)vd=s}zjt{mfO>`>_cSR67^9<=q;U`nR
zM!>ZUF+KCwC7G#F!hu^x-Z2X3;_d|vcJXr;#rbq=-OBzGc1`<?jq-jpZ|A*x^?IF4
z4C#9iEXcpkWKFl2RIJJFz-Qpjm!ZZ);s(8Ck3_XPUU7Z#2<h`laElKODC%+!Jj5oN
zzWY+e0Aaq1+DqS0W_LemX3dEhq8@YoIYn48sJ61I*<GY3hvBL?Jx+b_{Hw=X-;cUO
zZQ&K2Zx9_rZ#8=#xH&jH_sX|2qy?-z!0nkLZ<1bB3G9q+x2RmL1XY)h6!D=yeUh0t
z;>jNUwd2kbfuO&)=7By?&9K>%Ki9-Qz@dtN85%wk%4Qp-J$i3e-QY3)kgzsW>|knR
zf9bT%qTgx3&uW0dIN5+I@czUzioX4&zsnu7Yc;ID5jZEs(TE+#otdTZtv9hi;|q_d
zI0z~EdbquJ-bu4o!2wK&AuWeCk+llWd1SKYVT=TV9RHv&Bu+Enzwzf0S}Ci|oeXdy
zfa`oZmjCksnD&uK)xew>j#mR+Iy|n{y6}9{r8sAQ%K)kak(Z1WoJ5ZsjMh1S63_o|
zgvAZ1?PC-QJ?Eifi;(v~%zPvd<-pOaK7Z2{XI7x#g1g3zV`pTn!yn(_Sf3k!#rP2#
z0Qb2Rb<Ta<0Pcfhk$rrmN%VlPixCLk0kHUW3=WH*oqP1B3?|K|z<yuHi1uXySlmYo
zSHz0}2nQv)`9EC6GMbpCbo8!dkqp2!@O(uLNkmiH5_fI%#&rmeul#ep9Rv&L#&PXG
zv{vnK3Ho*?%S91K#&JrRWt;@PUQa)N{+w4cfu85@f2ATkr@eRufPra2syK=PY>N)`
z*A?J5fc`G$wtk?;naPYw@D5;4HzMn&f0PHh{{5U!Jdzj6&IFDT8LR7mDL|{%o>D#d
zu4KUv2tK5qkAM<<x(V3ke0Czxg~#Wn76T|0E+zPHGt1++?fr9Z+XwKPJAhL@YGe5?
zIpTN>35VcH)NA+8`8Iw8z_*vl`Z93@4VWDad37FlaaR17dj9Dn|EC^+bGN_ckjv^E
z0SV;}{1Cec_`(0<K7uy{G0uO^Qv;`&puQajslSzPB*g@2H!0e$rUHY{a}tICg6kKN
zIzIP9BhNiQW{ykp;}1C~&@v8s3Gl=HE>qC!nHDAL#g{;qjmzj}&$vJzHWrm)=K-I^
z9r8zCpJ&OtET6}9+#z{({;q=-F|a(%HiHyE9j_A+S@Q!LBKxiwckLHo!gKk6vqf`K
zHE>hZ?OYo)Ku!YmnP~_J1QT&5W;*D6ne$W<Fgh9FQYwH;-2k$j^J#B`zMY4XT=J=A
z!W+}ven6T6AtUQE{|s1;0I(eB5B<FX&|iK&;0QoP`vA5ZL_-7rB@3K<BEUePkAK_|
zB9v|Z0&qvLEAS(f05~;Z5H8U^5$rUHlOkdTJR8Vp`Ep`@=bD-IerNQ1I-+OzGRr{Z
zzgS<5ZShp}WYvRH_xu@j&!|hmDsW}(E}1$+8|Y9H#FoofX>MfeK~09guUidKzu{ur
zd|p%_J?i(a9wcduf?mLrZ9mGPr#X(_`eu?xZ79qLW6QsEOwwQI%da>!Y>h!0AM?3c
zoOK){!rhp>F~yamBTodA7Na``(B7)J89)}v1|sW~Tl;USJVthx8kg&KsQZXf?C%XL
z-qdunC(IWb<yKIhDw+DgBinx*9j9^b3M>$E;6snlN@rh4dx~yhmW83>_L}(W<RR(u
z4R+Ei%4Kr3JT65;mr9YB%yxKS-FqGm8(c0KyI?w;GsvkTZbkIF<S4lAPacvie?DL@
z{@6(<>*!iEsWJc5t|q;mqNjq|#%aqqTU8P`Y-H*~nF<8^?y%aC`bu1lS@CFc?2sgv
zp%K^D$ML!%?%nDNzufk}mJk~3W<#;>@G*8MvqmE-zJ^_LcVf}TrlI=8(cX{Ht(2RH
zjn2lo$e}dV{Te6#&yw9v5}4I6@C-3cwljO^Vihr&dKG@?IfdI$8S&n&Yiyq!*;R+7
z#l$6q+3PfGT!Moh?OXc7a(0=OsntjE<9%Thg$pBMFlrV%>aNM#Sa;1c*@uC!#9J&J
zVDjq{%9XUDwUo6xl<M5XTfe0G_;<D25aaA$L=&?{WcCxE9m`?b<Pf~~W*z{R1^icO
zv+v274-!E#>Gq+JoOw%x)ZP?kv~%ou^ggL@B3v+SZzMMI+PG@@p3%|o%1vu*crXEQ
zM2eaT`TE*ezMfgZSJXr*Jrs;HPOWSlyFC%DvGJEEfe`@Ag1LZx31o1Et<|%`zUfGy
zH&Sp+$J!fFoT;`87|Dx*njXD`<s8_kau|%>GV}uOSJ!668hh?^^X3ee$&w(Fs%R5+
zo(cjLoJS=tne9GX<r*T5j4+PzO~TYQLo%#&o5LQjt<$QsrnnLva3FZ&2qS9D;R>T=
z6M4y0r8dtqgm%0`H{L5OMY7C`mL|9{)NrA<0p6A+_Xjmd4g^ToKezsVbCWyP3B@wb
z7`AT`=U-kP*^X3>Bmu%TnEWU7GJGXi?(r36#4qbTv<acF2`OyNg*tF4O!F2%Zc4eQ
z<T8=+Y5Cfb;q)u5txYMD6DW4geYGpyTS*ORZc2A6ic8$qy1HbSs0ET_56X?*kctzE
z3pEZva$q6;P#imPM|W5fs}!{=FB<7)rkTlp8fPGX`XuFk^%L`0w&-l<ae@p+rOC%X
zsKzvW(|M(<Qd1l6JVmE9KSThbu)`yFuVLTNJ71fyTtP&*rIF4C-^DCYvqcaNeGvN<
zpiU=C!o`w72quTyYcs-EJUJZtE50mjla^7|fKE4iu;aB>X2t2L$Jzd&c%IeFCk7me
z!>6KfF}=h#baNY-?o80?_G?j&3w>8^K!Si5c3S)1If1nZ*Q8X>$%vV`5e3xtnLjHF
znCT|qSHnS~eOGFqsey*4g<MqtN2YNCiWV(MP%g<W9pwlnJZQtkBsBc0D{tZTtVK#7
z7_!(!piU{pD`hls=?^fZRZ~KQ4oe4~PXlBMz~@}5uAo*LFgboW5Sq0}HwlTM2mqP^
zfK+ESxs87oR|$iQ-6v&|0b*+254)C7JHx-h0EqRg-?R^}0MYgTI2jIL9RP*`(1Tnm
zEwhLl05q<CW3j#n#B%rR5VJ5K_Pb9@se^KHP7aJ74zg9@`^j=!o%JJO^o>7XfYh1K
z!+0K{?u=R3-?9(^qsaQM0C=Fz3WyG>2*Sq@xEN6E3IPBtkI)s)2L$`!Akd$wjv-*U
zFklP(M)UYuXaH*A4nR%_{tI8BY|HWd7l}BW`>>gRoV_mkRo;IOnz3nY{6w0fh^0oO
ztu-x}_weUP^<nGjv4_2$Ro_ote>67}d@HTSqAEK;UShs>U_+5U{Q<6GD8%vY%Pn+~
z&mJcs+ND=#+=MCTUb(^6ri0K3>#6tDwS)Za|0ohPtiNZ$W~e1gpL1LHuf0JGI9TZZ
z2Q1_;$ss7OiU(+UI-sn#D%tVytj;<_==QLoeO|}mxno)Td6GY4?EienX50iw;La_u
z&2QrS!`G(Izqca3NZ-`FtZP8dAdoS!@KpA|dGmR3>pUAgG>qlhy>5n;T3n*Pp*SUy
zKpLL1FsySC@b-I%3sbHOXdDVyK2K}M=m4F#k^r@JI(Q@^vi=1RHBC)-&B%u0(7$%y
z$;Kp?y;PApS!7(7th{C!;&JAg-}o|3Ayhgkx-ODs{dbp1^e-SGhHN@<+Zo5W75U?C
zfS|waun(SR?f|vbB3%$w-(YcxsyO+m5b3(H%fns<TzIKf`r&Kh(1HgWxY%vd<(IIl
zBfCI!-ng{18Y%mfQ=;kR%0vR{9VWS9;*SPyzsyUtVJ+g)b59>RQB+Ko95tE0VYZX3
z=x*8j<vaC~Q;r|o-|2iP+XLO=BliQvKgm4#^|!wskDbgW(_jorqucw(<$>JYZIb^~
zyeZX>u)L{Va-39^oj9G_#rIMRXAe+y0G$5zSI4CuJE1IDCZ9N@u6$uKWdZ4$XI{RY
z?PhKKh-aSKRLFs?N+TGkxCE^SJF@pK7Mi|P2*o_lQ57u>RoJrfL!6wmvAp127HgP5
zUud#LU6*QlCuf-3(Kmec2FO!Dyy97zn@bj``<Yb=$EgMKb(xvZbzN(66x5a~JBB}=
zEJ5(M1o#sw_A+D|a2Y-LgGEaFq051(`$vUz;_*;T*(Vk8z}<k|qE(GnZLca$jlfwJ
zJi!L3>4vWxwQibPYm6SZ{GLmdEh>%2<~P^`j+a#IY9A_A9z&KQ?3az|^4qybcF6&+
zL0fZ$;CZJy>xU)C)>r>aD}J!x6uT<gqtuFm(1p-z|1=y9FfxMJtHegBDjJLfO)@8+
zp4StAV8c?>&Hcod)5X3oplFr1^uSGiu#r8LM<k)@vW@d5+$4JC8H~2|od-YSq``Fo
zxJ}R`oFE^*zI^Vn<~h-gf%=xuXIfIr-*!stC#NfA#nW$UKilD9Kb3N+TydAE>hz=W
zAOD58v&7bbKA`TastCwlMnRT5yG_)@Zp9%+_x|C}&v{R;p}Q+5TqHO4HO0~rnlSeY
zQ5<g^N$e&Z>Sac>6CZC3X&@XbM+1UK1{f-Vf<&l`P_`RJ$pIa}`Q(ZbXKARnoPUa5
zol$O~3Z*D2N@jF~A*9L&Uy{K`<6C}N@;>K)<I+(BQZ=3Wu;IGSk1OxsNI)(Xu3MO@
zXz1o(D|+(XKA0OanBIG3B<IVgHh6gPlE+KCJ%HpN&iaFfpVc@R?KW)VI5rcVrYE5~
z<+{*Avc8Y!>vRV_js<D+d5Z&(Vp{2}h|epnRe%CFoN3I-i4$V>ub7XEvuS^TV0P*%
zDDOLG92FtZ3dX0+xI+8z^n_Aq5RNna?_zU2BU_OJ(9wrNfncS{W&DZ+(wct`A-L34
zi*)f15FG06%pl_b-P3?~7v%1H@q*9i?Pk$m*)bu&qg(k^g7OjId|3;iwSDRnfNlkT
za=>BOcTBR{JaAQQ05)OOUkA+UaCrj2pNPOoxRii>$M}2zzC^%RF>uQodiOvli`04n
zh$R4Q)HkTFfDJ^?@n~u)cOO*9@@KEWib4*mS@L@J_(LhD>I)<}_bTx**p>;*L=Q-6
ztCDL2WL~dZ82&(RZtH8NoflbcPosgDaGx}SsYLD12O4-TEs=FK@VJ)Qqv*r>0kbcy
zfBI`LY_mEiK{Fq<R!X$Y@SFMk7{Fg1{E1Y*`J`xHFOTovHIWXPnhYku@PKU>W;Q?J
z{=5#+xJFR^7@ys~-o5u_U;4Q$aP9ezp7QRnX=9Ldwj?;+_9eL(XJI8jS>l3eU(zEe
z`#t>bhd;>0ouOYR0j;lp-j2?VnBXJ~%V^7p#!)(e%XrlaBCG+70a9xTTDUfJ;v>`x
zBZd14jBnWuDFt4>0)=db2{WDBW#=c0_2p^h1*lgo_rHb_o8Be;IoM&H0l+w}PNCKn
zqyq-*#z|04zOC<dJ?-$G1W1b$C|8U35`<-7A2Z`P13)OeUQm?-uiD_&j{5a11q3?(
z{{m=F19kSF{fzyO0jh@Y)D?-5Ls%qf8~_T8GxTh@Xy4uYMQqRqwRip{Maya&Xf{^}
zzaPLkf6}=E8v+4iL4^c>_soU^#UAxkyvgt%v~jJQG@xTi0OYr7MAnyag#|TWBy{yp
zxeEA@M*uh@e$zNs<&RL*>~{bt2i(AaNMF3uw={~1!AR64BPLps)O0&MFge+ByfZM^
zv-fwYp=Q&~Yc9q$^LY(EA|A-u{ZR*pNT=UTPHiFXB&vSe8_O5eZvm?rZG34`O=I*z
zhgNkrjyk4bGCY&(EUzw39CuM!N&`IzmLY2Nech4tx>nodvNTkedmA>F{%-{`2?ls>
zG|A{L#;*KF+BuPCOK&4$zJ91NS<%|B)DO@?pnd?DJ2ee=p?vDC$v-m9$8*5V*7|(j
zds3<sdl%wx4gs8(m;LO<9B!9H`CpQTp2b!OIvc|ndWAhV{6`({?rLT*4cfzsB2#2A
z60iW}sFpfe;of_G@CMgFq>;43{5{+(U?SIycEXi3psL?dtC^{v)!m9_ANXeq+V2sp
zDGg)XPv4UrsX}l>Mrn)M;tvXx0PXRvA>F^SuAP!NzsPR1X!7@f&+&VYGj#c*<Zgq~
z40MMLyMMY+KA+7}^37Bk9|xFyR-cR<$BJ}1-AX;eUfjeyN$GEYx#OC4grgt|B8gV1
zwR5r|%hCy+w22mi{zKYKQ<~v_G8|0~i1bL0dBTH`eGI#&VW*6ok0k@oCB@Y3ljbZZ
z(-GxWC!Gk~Sb#c9P`kY|Mx`SR50fc$dImnPg}<w<%h#A^cq3d_F~2m$MH*pr_)b6i
zOU09U!nU_k>hpT8J9ZoP<ve=}sdfRzR;`Y<V}rJUWeCWg@!FiJV6XPbW!{<yV=3%g
zoc5*tg6Aa$kHw@71q~^Fo#(AT1$hU6dw;ZW?!hKaaYwu)pqz*7!Tc1gvLSJk6EK9~
zDo^NTCs*6IQd7VM;fqood96dL^ZIRX9Vee;?xa)&811(^4wxu+^$HYHP_3v-ub1DE
zKcHDTjlw0E_|x^PTK~)RMZwdR))9s;cIDW6!xPsW<2U$4Uh$;EEzqPk#OEQFO7$t4
z&g{;uft=q{BLgqiImsQo{cr|}TRRZQ=eyh!lszaNwe{gwZ+E)4N#;YRqs%h5;|`<z
zQ~}mJAUVDbeR`@r&+l4tBH9OBdAwQ=_c8<{Mf+yh1qv3L|0@Yzjm-&5u`Tp{n5meR
zLWU35&`FD<tq*EcQ=<d420D%U^@VSpgt7<aVg>`ud5U{4kN5d{v2pW1#?}D*MrVS2
zL#Sb^L74#$O4rl)UE%n2xE7ZVE1Qlzp7+$rxCUptD~rpCfxvNx4o)cNh+>(<CBs>~
z7b_ax;3>|VKL=!6T}LSUR}Sj3&6&lHu<qILM@*!>y_Q+6%-WW3@psAM;CA=KELYju
zK!?hhOXC{1fEWt0c-aspC>^JC*`(r5xfdfWfDJI#5;pFd(`ckhf6hPXi(aj}<)Rr#
zy36{~_~32DCdkC|x-QP?gw%r6x-*Rhn)65|QLSTEt3z=;4!Ch`JK@0hU@f3n*t2o?
zW17E5{fI^r9p}X&y73?NpQWA@bTz223Nv|pi-|@EOIP(g;T^h`8It1D`pM3Y;)kL3
z=Re_F+D;!CF4%lG$DUeUb2YPNJSf0h(*s%3`2jZqfRvrGP4V}Y%ZMSD!{BjP3Ps=6
z=1F>?ukZn8yv7M3kNHRI!A9uZRfgNDnBFfU`{jX%emyNBfY)#TT>iXRCn1h*Mcfbg
zTN?o*(NZ|90V3o1PgH-N0kX;qxU8}*hiPziHbad5976O&zefKNtK<<>hYlE0@>%P`
zU;k`7aJ4i(xq|~n0CM!6Q<WzHkW&D>OY|DZVGHU<ALGs-t~QTLV@q7*nEx({=m6lr
z(X>o*{c((S#^0DI#|721!F|Fppr7Qfz%;-sNpC=f9A&KpVKBRi+c-1hug9z;gI>(P
z7sf{nAYU!GPimkFR9<z+`fPWBN<ZK37VfumGWJ{e0wn6>6Mio^4CMka6u%kZl|fLh
z3s5r<0=>xk&z}K^y-ZM^1jOpF%Yf*RxSROE9Ts}o;a>>r)!=}GWt`O@P#s)ezVkH`
z_Z6N`;N(0f7Qp2mzRLQ6o4J+%@2Dn^)icyvq17q_EJ1YpMKmay95BzsM;bfe?!_zH
zzX=jh8TpAAP>O{ooimt{Ru*e5;1RzsEH5^a&%eiOHbN=zA%l9n5;Yw0pCkW0Id7ay
zL4`A{i|FrLG^Te$^$d+yXz8PY+<qYRyysBD@SSB@))0N#xx94#*4CPtNzuwbQ+|}%
z*=I0jGttn)Zq@Ur3{SpMEOOx)E{~*vhgGan_9+)iEiNF0J5cq*b^+py!0k%0kCRcD
zPtQ^(cIsGFXz`A4V}w1oHIuk6CPO8MXlwD2WU-jYJn1qbnOgMalBI+8sEEG@&n4is
zuH&jG)~31xGwbh8-!={>sj|s{;`B;62;)jNdE&ACbDUzte!9KD#xpSfsK(aA6ZTz7
z{Frq4l@IJ!A)?ucJDm5I>6*uhBdI2??QE+ORza4>_l6!$QrzVuo4HA`HF-j~PXi;2
z${I%`u79qtm}*mlhQx@f|1=PEh4+)@GQf6I(2kAZ+T4bAuEkvtY+_f34(<RHXz)`V
zkuINT-PLZMJT^(J$jb=pwfGAOY8dozUXy^qyz_yoG;m$4Z@RF~P0wlhV%6Y;H^OG?
z1*)f>f9>D>d3Ljc1>l{mT^(OGX)sf*65}Aa<I?w!?UN)!I~~mxH;AnNZpW7;J3*-!
z6Q6Sj-g}zh`Doq$gvc7`0m&7}36LWA?T7kIe9$=z1>7PK&ScW5efg$IpiGRf<?3*U
zOTR2SkP09WbOYRi`xU5R#bC}PqsCC-DB*oQ!9L^J`zj#eHl0sf59WaBrsg-qrh_Pf
z#vhHHhK`v*ZH7YA$S&q~dqGq5Ro5=yMKODf8gBZ3y&{DgE1Et8Htew2?ZMugF#5*V
zvam5fA+u<2yf8(eFXd#86CwjNhJG594}bKaIdbrp^s*Rv74sAuf_7Z!3PQ}Y0=oyg
zaI|*)I+@Z+^98#;+g%0D>~jsCTuXQBRi}37;Gb^dekNIlv0EjK23uK9&K^JaLV{Aw
z>!{s|+C!!c7x9zi{jcucJF2N}Yab<41pz67G|`}fA|N2W1pyV1CI||G1&|I(m6}*-
z0!AsKlpqQsO{8~4h0r5a2oR~EhaMn6?n>}|eZTLVbH_dZ+}|D7F&tyF%i43zIoF)e
zENe%as$q6qgI4P+tkBAPgb4wZ-%s^$?;5n`kkt~;A=taB?lvOb%t=*QeHA6ufk1_S
z)XTlT{vmd~`=zIBL^EUf3hT0b#)0y+%uCQ(;!tZXf9Dsd$kStUc10V3c)e80>>30C
zXMwwwC2nLRHDjg}-ry6IPiDVFJEaq@$6vj2@2)74Cv|}c!s!{EjLAmDzbob6qyJ*|
zu!ZfbQ_uUo+c~s)x|cUB7_#Fun#yHNIcw6<d7JI$S29d>rkQ4yZV~SHPi1<qz7`a_
zgxt|{Bma)18)D9NDoXp^RSQXYc;X3Yg!$B1-idAN<<2u_!;DAEj?b)SoG5u>y<PJo
zebNuwS_Cq=k1iYb9YQ^BAb6gpB#us6Ut|)~U)Q>|vBg5{3mV*PlMu;o&0ozE7ln1^
zTl-=Vl3CH!ek#>yrlg1var_^5^~4oXaR^9}gDS-#CQIocsi2F%GRV=MIr)3#zsadL
z)7%Zw>a|_7rQ`hJvc|0-01ulJbd0L;p#ybO@Ca=62+VdQvG!Zn2R-rxVv-U7f_9<^
zQhr!srTDf09Valn9F<C#;FG`q09N=8_`e&HaW~Ucm$~8C$?rPyd0{?K7|=|}cNrL2
zy~04vYO0q7r40Upp!m)F5j)uN(QqPsT^DO<K7|7jirF|sInB*MWe}9lJ|BQsf*#G!
zm*be;W3ATZiMsFLEHocX<Cw%~%%pbx3xpER>9~q_(4jYsCMn@Sn6;7$&0}{KHHx<d
zi2}Mkn5JJ6s>XDn96@vWA%${KMlhai#rzKIjOl<o+y^ol5WpHU*57_>f#=YBNY&%~
z-3yNP*M>@Px0nty8$CJ%03NmSf8}TWbz7#xwE9{x6zmK<A?ppcBAGqLD8~J$IFM^a
zVT6qad<WNrda?6mI7Y%~Mj;!iPua4>K;nv*^^2aM`?wk*`|OSiUvt|4Vv9tj+^Wh*
z+AX&b;Arm;3^gkkVo%)>PO!9Y5x*j5<`L52fxq1+ex;Ys!sm2v%;uNUR$i)Uh1FCS
zCuPkPPGtnYdTa5^aP3FuhhV+2w_9@Q?+jhk`#kWVR^nuh&6c*#&2<B*TEDplOq{yg
z4&V?71LZ!;GgY8$>^!qePM2OC<NP~^OXms+2tz~aJ17y6DkWtJve0(O!m~534<Cd#
z3FsWUKs@Eb)|EZ;RA)}dMmmA%W#e=YH8X3cUvYtyUv1HD^zM>=SD^TX@|a4r$&?t~
ziXn2RXUQKbLe2SIrn0&GMN{K%OT3$71v<!zX84^yh5G2LQagSqu^VQHkGS8d_DhDu
z=G^@2vHT%x7u5^ZrP0tz?4kMI!@(=5LfVX^xt_z-dNaxvQBHqX)2Ks0VqMEZ&MH{e
zVuQXbx=j@<1vI~YKcN3gqZ58k5wuYO3k*Jo0m=W<t8@B-e(QZ<{^rW?*-JJaGm%@z
zh?AViNLiMduz|T!D~G<^qC77Ekf$v+B*13X)xXn>be>+Qr2C-s0raYz#-6Q60u-h1
z{5*d&E*N8Kcj;>N>c_Z?uf#ly%70$7k;{0H=hpqQjF}yE>vnjTgYXJhd4A5&tVO`>
ziB$QN>2fPRYE^6_N&Hiq#b3QjY?)4tzBT1RSJUG??N@tR&1IalLlE=R<*(s#8FiEa
z=RXEdPl7z>-<j(!#DL%=$ZqPq0ol#nrXUbL^WVs3_xy<7W2>vO=(;mR$>9Q5&qL(l
z%W`O0x*qY?rp3z2U7AB{U7;iOx!#=1scLH}8J+xXC16GSkyg|mAexC{-l>qWx1&Xe
z<Mdg~oueWz2V7Os>ou{n*v5;r#f>w(x9S}|TG<@ee`F1875t@)R0~<5wgOR?r+XpT
z7?H8MeO|=#-HSnLUk_y^Dbk+VZhI?HAzv)Gg9?6MS-i2E$9}JVviqeVNCNiggMvz!
zXk6q4j$N3zdnKMnc;*=Bp#fmFi{>36TzoHBDl`nvG!RQZDhAh+J042rrrrek#>I=g
zMQQa|HOZ<UTe!VgU<3Wv6<si9MN^Pze)uhDwV@h-gT1te*XB=9NuZXlAOPIfGX&Cx
zRiCHWgk1!DYKIXvd-p(%3`p=egYMfnU@7GgG`UZe3Tf6AdlJnw*!$b<N7wi;m0pz@
zLn<lW)r2PopAz9lyz|u|AgdDM8&N$cWUFdaB;*8lc?RFW6g}LGAQ8m_L3cy!9I=f?
zP0dk5V0`oEv|KG~<mFoxO`9RDCK}v1UMv6<KJh;$Bn7%D!m;3WE}=OPOJ)P`#tNuQ
zZf#%5Yws@Qse1+OPlW7QYD1!btP!N|d2C;iCu^0g(%GuIKq^MXI!{a-tTkqDZ)2r*
z<fhC5p~UooVKQ~OVg0Xt{on#cTI=-hL1~K~<o|X2oCwt#Z0YHeP_M0?`QhrN^fhSA
z>*m*C12>9a6YqnH;fGE!q%=d+vT0V=^N!7{-6r4gGS3M*Z&lnZdfU195=&nJ9~!sY
zQ|Xhkw&Q=-Nyu8{)4VgGy9T1%$1@TWUNn~5L+icJW38N{;9Xx=B?n?}<_c}Q!nz(#
zx}w$B8@AKh?n`~&6n^iH=gDeT*=QZC?^@Ku^V6Q;1fk8Mbnye*ceUu2x}Hn4-k<o~
z4d5%-CIwh2Z~365d-wBoI=r(4%<4%Lf4@FF-c-nC59Y$11BdR)pggt4?;_VW2$A}B
zjFVC|i-X{)V(#{CLw8R9?()qH7menvq{_!*txq^n$ipxW(F6N1={jr@g^~XRa=Cv4
zxq;*MtonZ3Q@zeEhhZXL+%AT_&^aJ*0_T(&m}Vwn6Ko-+YmG0|RB}Kmd6aPZ53Rif
z{E_Z;bntemn{w7Xp9TLK=%eI?l2-}a>REdR<N!hq#lFH@BK87Er<<#ChIUoNe$Tu*
ztl%-v__-qx{=EP!h#q)N7i@BL_3D-6L8#2nz}!C_k_3quZYAvBBW<MWvBq-gJPGaT
zqX4`7RaT6OYpS;L^|8YQ34a!Ll=7)L=n@eV&}qoVPPCa3Kt=L<@kTR73`~~~Tg_>w
z6sjGEiTq%^ezNpKM?QyGFF`vXfynN!<Gz>`izZZ;u1LKP+BHLbZaYKeG72IUuFo!9
zcejnWCeU(U{pwWjo>&)A<cWC~v&iry`OO{s#K(_${WzVjPFKH!BWkSkg(6a(E?3^p
z7fl9c>h)Dcuhd%phNYJwBGsdT&w=28V=?iF=&Huo=&hzF{f~yn&7}5totlo(KX@+m
z>NoeKmz5WJblocOVMk`B=?E4RY~r%3Qz{X&AIL%4!&hX12X$L`=b37;DMxGn>Q`{z
zH91)3&$bi3!JQt>w?Mj~bJOrGM^6LuEW~*#D5`kdvtgrUmAQeE!QS&VW+rT_(Kgvr
z8rdtU;s{GHYZ$6b-l-x#`Th^9ccbKp0IC^(y{vs=rpM2n&);oc)(YtPH!*&c8_1vU
z*PwTNS|!f}J2uXn392NIVmxW%;^61GK%pMspR3?%F;FI&pfPyeZp{O8(0@dpChi-b
z<5K{$%;MV{M#L$*DG;=AI*9s%AnR>regRj+E&mr5dglqVm&o_tQwA(7FsNocpp0Fg
z&;*GqezSf$m;U!{MPI<Fg<;<VHO%fAqPus-V+9?5&;<VlZjSWE{mB&<)zB!Z{a6dy
zwkDp~&EqyPgUItLF7nKDXkDCFPhmx#%FtH7673l%Fxg4RyImR!rzEvX=H9+*^}S!I
zWXzt;b^;k*UUCSUyy;reZS=b6vQWFMz+jC>%>{%_?i^0WcWb^sCQW?VLcLq8!yWx|
zF}=bi`@DdgC1PH&$veW5(tDy;T8w5ROtVB9b#hLIqyCC+6>Fn|`v+6)L-Jk?4w3@Z
zeRd!fu*mhsO~0@0Zan2j;knpF7sw`_6GUs&%K9+#+}5(E*G49kDYh4@40R|kHtI<k
z=eI3bk;P~geU*v79qDa7c5UN+&oXIZ>F`{iEDOD(HZZ6sv&WP$zadoEz{E8bBfDUi
ztC3R$i40)w6d@jCnoKTX(Zq*8-K|Kks`)fTUTi+KAH|Udx_TG<9gvCjBQC8S3!X#M
zq#`s)ySg+rYyjUA5`G~jKkEB)0$q2Tc*B)uU^5kaB?(ZO<||w8v(Ho|T<!Q{K+kql
zvO%%)P-NHMcByNdYxdP|cP6%q`&I0&<_sk+L!YOul1u&Y5W_g)NPX>B*L~=Hk?+e;
zH>}0qf8Xw5IPftpTTIeNyx%gn(u~36lzCSL&p>{&n@4uBPq}-pIP*`-+&8^FB`29T
zvwPk-M;@+h8S`t?H7rq5+DK72LeO0b+PPzBSfXIN^sGvEXrp(4ARjhx$g>24h(1tW
zhYK-!d(&zDhvsN|(9^8mi{t3M?-{eDA^yPDcFMoUf`abg>uITM-J?Vq<x9MSr!hFL
zB7Rdxm>*|(Gj85nZ_9B0hqZ?51?%&plNxW=lpsPf0bB1`2dW*WI$$t4Ac@%sRi=tK
z^usASHz>SK<4bnKQ7M1)c;ux(_u3O18(Do{wN(W4U~*TY_M!_LHr4nU_YJu|<U#f%
z>sRHZKt()#_u=k*)uc<(pRZ1@6?K%$z#!Oo{LciVKtq~;L%YTsht5gii%Pdq%d^Cd
zs?qqllQKo7FBoZ=4_AmP+dU#`HXY#7>BpV$UAm*`g$n=niX{K6{<T({d6O(=VX<~d
zYwY`iv?zx$tGO+$=a#+Dl!``i@JIBKch;{+l0lfAg#Ncv8)LV}{D!~cVK{=wwz{sH
zu%xHmPPrdXxgmJb2atukVFC1Q!EZRzuG(Pb`33BUDlg#~xJuR@+7FsANF|iX`%(`c
z<`C%`A2@3RCC_=}drOAgoc|GSt1a2}_CCV-BR|)(ul_&OzTj#a_hQD6S@$E7x?g@$
z6v9Hw4{TH})V6IN?}*W6YgF?+k4)Xfy2Eg-Dhg7=kQ}-6Pd2o*Vjby4wHrKJ$1l|d
zLhqRk7e0pb)*M@||4{-3<$)6PI&SjFQo}Py=I@CLp8C|*n&pP?>z{aMZ3(`@q0u~B
zi=O(a+t@mpEiH6hMzVZdm2Ylcm59!QZfh90#qjoZZzm=mv#xoKzM)=kCJ*8qU!Cj7
zoz~;X6YdQ7HG|qz@7uPc3e~KB1sIMYg<lD&!`C+32XmKe@4`Q&wU-IMt(E-+trS7=
z({q1p{$&)<;@u{{G8Qf(puJ{L-5m02-63&au&)ev6)&Xpx$oeN8a8Qmwl9Eumz0aQ
z!A(`1*>4;b!%K_4tJ&^7P_tUPB|`9B+tKklk&id?tf-uc%@L|pol3=w<$Ja*getaO
zH&o)nd@FXFa#3<BFLm&o2p|o-zeopRxG|D0e$L}(kLsOLubuvF#Z~8v;-0htk)?!U
z7q-5P>VjTWb-TopJ?afSZaG)?>t+e7(saQ}bPmE-m>f~wSz9m|U=aL7Fraf}OaJ5}
zuwM`>fG|K>*nZfzs|^W1aF4H(K*#GC2aW3ppBPOn2PBtMJOT3Y#N=IFST?;E3SkYP
ztu!t3PaRnHPb~|Yk4`?HN1ua`e-(=2Cle3SyzcoK4Lki?yPQ~}^W^Bw9wKOcIWQ;d
zoi8G+HM6C^(?A$#v_QrC)!aKrgfj1n_4>iXD6q+l))#yp@;g{kA0r)5G{#ob@~B7~
zbJJ}nTAI~Nce+hP$lACK)|LTOGh@NWfy_!F$@$lrCRnMbd<2YX#12qL=BC-lVI1{%
zvt1P;y_7c>YM2Y87Zk_UJw=aYPqsV{liMTqfeT{Yyyrb5+>EVz%4GL6<nw+=_pg|y
zG=7Pq?ax`kfN~{cvvhG+jXTc5knY2%_vh%nDPwJ!D4C_}ln5&p#~^4CM?lYS>)Q1$
z+BcPbYoi%#`;EaqMU%&E#oJ|BbYKjPlc6WieBHf5b6OiFXD&(ip-~UZo*1A>F*Z6r
zN=<8888+ZK+KB11FmWInu&_Qfe=QM~S$(kkhA$x9S#IR2ac-I$(hZ8~(hW_GzSJjP
zil8V5=C)^BBnr0=W|`9O&flq|w;NKo{bSActsz)G0OEOp6d!maV6ZeXX|CZyG89E~
zBaHg8TkcW2Cx95B6EEqCA0nLh8-EjoP!0ewx7^eI*8|brFK4Mz`?t66UZswHv9P*_
zZU4XAo+Qs5R;*MaEaDTfJHvv2WBXl_cTYHjZiJV%Y+Y;=L&V`lPdT{TYj?P3sOTRv
zEVZGz<%ayvbe{_13oCASqw<WZaig2I_pgv%{L2&62}b{8f;m@NzgZ^y%YFZYBmbBp
z<@tY^;D5dusuA;<=65f^zj^RqsQE94|2ISaXIi*!&4plN_Nyq{J)Jv3)m#o2jiSZ(
zR|2+QYD#Q}CX;$)uJzzZilrmOoiw<5$kdUC$wFQcN!gAtoI3noZAsdB4Vzz+-%EuQ
z-&!>E*yh8VRn`j!u20jqex|zRBR#jT+%r~{K7HU-Mx-7Yx+B)eJlP#mH^HrBQGl?)
z$@*xHCeRB7_cHDr2<}!%;>CE$(TSpH-UPk{eP&wiYQdtSa`@PQo27bMUdK_LgF&lK
zl1eBAMPAvlw}r&JAx|v_w<q<Jw$+{ppT2z$X9mMRHS%g-esy~cEIvy1Joy0pLQv1J
z*%X)G%nx6rs9xo1Jj2$B83)>cLA2L=3a;2G3zCdGD$}>!+TvRuaJe+ygV!l#GqJLJ
zwJCYyyv?akk<OD;Yw*o-91oM?;j1`P?w^YGeP{jCvCmG|9QHzwZIT1ZbgXoqXR1<>
za7DB~%7{nV1%CsHjkxB|NiiN_#Z64!7Rc=FxiqL$oafcjavYslAdI&(qUu%u(7B^z
z-3dM@FSjaT6k1J}X;2Av59HK8x)S(dggqPrZQsP6kGR;R65wuYJ9=qcr@B|N;dqlU
zCQ!R%sZ@$b=?wAbySa`{r!ULVyc_Pw8N(we8mLQiK#%_ebcp}?_PZ%O@U*J;KRyjP
zxEw*fD1@#*ML!#`P37cEytn*RqJNW3B^!GQL3ZWwPn#@L`^`Cm#nzF60yN#u8u%8_
za&+{5W5Bq4E--?vPToQ(j>`!hd^RW?J!W+&)zdlY6;UZCdy8HE05GwXn#ko4wv}Hk
zOsyI|DN*uc!E7*L@O%}~+^CPP;sx4z$JgN@T1Bbhkm#obbOkQObL3o`G5lFzPp)=R
zYR)l=$1O15Kn%^P-hDmp=5uH``Y_qRy;!<q@jj_=7UFYq{l+Gub6o>3sL~^}GCVJ!
zBW~nXlG3O?e-+u&9uYI3MKyK>YntDMIg>@SEi-BgoEJ?4^|MV;G5e(OzU1Yz_Ux0t
zX61G^$Bmrl=brkLx-w@P!e�la^;!(9qtbb1;ZDF-Br5vo=aWnSAxO?+HR_GkT2P
z?s4k<L%*JGBxKEjIK{qI;gqN0mN(MH5V!}5*a{2yJD(Q@25t|`Z}958VwJLcx?=fk
z;KPF8dlhlwUFSdpDWry7wC9f6!4EsW8dRHJaNAxk<J%_(_nM_>ivf>M%_X-J?$n~?
zvRavIS>PGVIkLewypW-?=jX&cosi;f!2JGxm1+Im>6m2vYb06f%hkkDJ=V#$IVP<<
zeW!>&tqSRs&Bl-`_x+(!n@aYy%qVVsQrLilZ%;8F=DI^L*VK7v=-44rgx%1(=k+>=
zp<BvV?Q+~#B!Lg7l-Qc`>tn|`k($?EC9gK_byCx*k-k|cCEF0UWxXEXB5)oXu>~be
zw#t~koo|SbCy^40@l`2OPY@Inex*>B>D8GAU0mzC>lZh`&c=&&*F2m3W%`k13!)?s
zU&`h|ko$SqNrLmwrP5Jty$cWRW+dN`_V9D@e(g2FT82;TckSmu(G^~6XOy+K{y}Un
ztgi3lRO-r|jvz#yY12=2VaH$Ocw(?Ca`O$acfIr7&E+3VbJJCZ@q?9QgK@FQ@T2w&
z-o>S2K~l)-fz%_Vx#)-$*<{UqYW^c=Mr5$XF~8*FQ-v)~2d3aHZ@H45-8P@luafNe
zc)0H4UNOXE2B|$nz=&1MUKe7GT%O&Gufv~MQ$XHchjTe4kqtU?5XV#c#e7_?dM;n|
zws49-?E22!rEKYAJcG;0LOmXRHxeRk*p=lEK@6(ooUY(Xj+|GEA3_RYzKtXXvO6F8
z*sLRbyX~X%U<+@o8NerApmOut1A6rv?r}aRSP$o5Zodsf_LlR-0vL<}T5>u6(t~~b
zF((1AzZIoqYz2Va;x^)7<-nTAH#S;knkRc4<0ffuwXTW0b>9U9E<Vak{1k|SfcETp
zFF|iM+VcW&F!Ceq>89UKc`>H<e%Yr@qUy8|RYezztJZ}My0B0UniQ=w2c-L+8_#}=
zsz;?^yKek0{^()%`H$NlX&~J<*|-;Nw*!A2MkxaV*ZDk1Hz9zK`aSQT%oY10PL&9=
zp?5LFx%mDN)x%L#(6I*+#lEY2$hZ<=_6s6^P|72Mdp*-G{;3mm45H$ngGW${zfsMn
z`n6Gr(=Ps@0HTYkw@C#E!ClM!jT;-oFt)p9UakY!K<l~Rn2N_-rD`8;+LLNxjH!2C
z@hq4lsh<TbqGi_K<5)$FJsupZEeOV)7o+l#5^bi{-CKUIO!b&1H&4B~CIo~9(Rs{)
znFbLgfLI6W-!yjL{~Nr$Pcm}F4W{iH#_^WYV875qU?OtI&Dv<Oetwf2ze&kQKis@Y
zs)@cpmHqo?TCTWWj=fayxu4e38k_~MKI>i*eEs~<KNIy|v@waIa`H`;IkrYWU6o3W
zKL>_?mo?+x_1D2672$%H#&)}u5PpbpQE__Hv<;T%7z<uPy`r^yg`zJ&Oa}stb6s&>
z1@TmkxoKB47bw{yLs_afA0c{_sd73k)48U`>%zAS>nSd`@g$ab#cU5%Qpl>Cq(hO+
zKx^r_k^3<e%nR6qJXIVVqx1N;1SlthZvDOuAW+T;*bD<z$G}Tis5}>=IS4|Gsz>?O
z7T6lEv{w}ISXS;4(*x|zQxhzn=D_+%n#u0Ur`~~(ethA8ek?DAgrai;H%Tdv_<=jv
z;|SO!CPn*UajW|MUc%2B(X{$q8Yrxxf<%D%W50N~;$lpEfjamNn=lIW)d;80QaQ@E
zAJY$pxwkh)=GU>HIpAa|0D5ae6xQfo7_4!wkIE(!#+Lg%hbT-kVWclw`}2bCU&mCN
z5D5##p%hJzg+OvCo)!cMGKzg`+XwB>?@EXggX~i;`p@H0l$-A(zv*8D0EF0t=zi(U
zPUW~g*vA5{0DjxUU@q)`Vj@<Xy7Ybb_FfPC=Uf2q?LRwT1SC;I8DR9q=*(?DPzVE@
zfOw()C$ZfxjTu4xIB?IdK)|||xgnQ9VG8j0e4qvBpM(ElYQlmTolRZuKbi91O@gYN
zkZkGhLw}awzAI5#fV-4%>%Zgpe>DlY+k?!pvyxb%ZLH9)ij4aC(H<jR-#tT##{M_Q
zyRU3|pzKnyRK3|{R3<A#ujKU{NxCVT>KkQ%UIN;q^w*g5)+GKpcqANh%*u`w^7IqH
z5-s=N>;rXaiZl>!_U)m{^$*YgUeCLXq2zR$z-Cj5H1>ca1Vst|2$UKZ{)6lP9Q?oI
z$iM1L*t{Cn&nhRFsx{g~)Lf-Rk2=+(3qf)zE(TbILFe6D{-(pOp|7U*4K2_{;O1Oo
z=K>{8?z&9qYdexnB=h0FEkBf0w^q$_fSR1sv1{o6{TM{Yj=ty+&;YO=><Zm*E+&va
zMv<G?U-R|NrQOkQA?8$0oqSALcG{Y-8AhtH)Bci*%Mtj;6Mon~PmGvj{jQiX@7}m*
zwfo1eg#dH;uJ_kfHf|H3^$OG_#Z6!2zDo^v{_aqJuM)ALPr;!&@2J|!0h$DSs1f!*
zX~9#-Vlb`-p;&9SC>7g@IfGpqyFr(ZonhNhX}j=HzT4!Fm;}#8yj^REYur%f%BJ)~
z%T0C_V*ap$BtPaE2jjKHc27~;<J<x&RC8d`H6l3Ky%Y8NMKy6VC98Tg;pKJj8?e-a
zFZ(;aO)P#UMlzgnee|6!z`dY=%Q&i0gr=Iw6?e1u!IZnv<{3QW3Znz=*^9QJh7D=w
z;zb=5A*@eOQ({(d%*y_$;K}k#!q~MHrJD|toEQw{-ARj1^ZqvC^1c9Smd%_?@gi>J
z8F<ku*Xr7NW)@0UYK@&7jr3Js%dWCcRpM2g{vDK^Z4*3%SpWmvjgQpv-CI6+l=eeG
zkTl9+$L`d;CtbiJv}R*&rOu|Ld^N}dD=qT>4#AE%u(3O?@6n>`SGqD*@+{I2cnRP^
zA}o{W44U>%j+i4YOtILo0jGd8h!FPjm@_=^JzD>9yC6RXDzc9id;+C9(rA{Gl6w)G
zK8hmRRpY%1&}sge$=IJi%gnsMQv!#Va%zL$qTkjzu(3KKIi4_jSE2n_u78R_IIDUy
zpopSazn{g&ML}4_xeUUps?N5%J0~{IdZigQoSVlCd8M0J1Wgc}e@A0~y}N9r2reI4
zWgIk1&y6rQgf&E58}_Ib?RZA?mem8_h;F?&*MH^cw#gF{=nSvAmm>^(arjq6XCCLq
zhg-7%tC0`Utqc_ghg!RM(*6mj$}^)lF-OuHV){Qz^j&SVW^zymKTNjlT9j7!D^ZKi
z((Vz&BB>+}z3=-^5T1i|_r`DnmRzs;QvH|ReESpL0Fr_5Jq-tTF8HM-cVzw5A#*&(
zyhqW3%2pagLZ%KOzNRML(ZB5z>_;(4&<N$dlQ)p(JDE1KGWLCyz+Sd{PqZuadUT<=
zOTk<s#M#5iCnR0?fU1!rtXQPwS^+^3DI%wJ9K|mzMZfY?gM%;7Wt`8kenw5(W~F4O
z;4wMhWHhP`9)Cbp|3o|NVV<HB(rYABPUJX>rsz$}{Z~J)j)5<J|0A+uNllMc!h9BA
zQ~Ys=fAc^PNYuS7Q9uy|s4{7)TsRI&2A^>@Yb~u7LyLOQyV>ZH$L%KI0z=-<f^_t|
z4-hVDc1$O^<-TFlX6(2tvbE{XMnl-Om$ig4j8Rc2qnSqCfOv{%$GYbF1yiulv!#zj
zSY87kcMwH^40lR9$Z((dI*zY??kh1T;(2}8>(TBb>R0Vtk;n|-|1HaLk3AZzBnorU
zQhK%P3ISnT(jK^D(1$grg5nnlbuQ;$27Yhu*EuAqZV52UmGXTU7XK=X@`3J`Y+QT^
z1D+|<K0)sH5);E4$1B74wUJu3l2V`wp-C!1ptQijQ#F$ML_tO1_j+#>bR3~3xcw&9
zS_4Y!Gp#R<ZFvl&s`kmw<NHj-k8j_4qQF!>79o$^{yGGHn$;1rr`^?c>-Mm?@7!>b
zuJj#11ISps;i0SOw|ZBdfVP=$&wQ@ppse6K*~oQXK5Vw~Bw4UO-_wxCX<#?iy)$iS
zG?ygF`Z`A4(E@+0Z1&J*R|yEOAR?*;mmKz1-D;SDva)c~`BCBYS?=O8{?3RbIMiKt
zE_s;zJ?-vbt?K?Gs2X*JO_fYiCBG4C?bBOut}N1?Lc0F#2q7+=b0_O5cqf8|&2i-K
z^ftoFk*?y_{ECNbsf}ssk<g*otc5p$HHBX{B?M+Yf6VB#S+C@K`U>1sM%}kax{zaO
zF_sW<mx56!LhQGWIuWv7xj@+~qiquDg}Mv!+B6UyV8=c8I356aSlgr$WUO~FR1q`C
zWmd6&(3{Jv=hmPvVg@0u7;w&lw3ZCOBbs#0J6~MX0xfOIf6cLypKIwqTYQs9K*L|C
z6ZjMcfNof+ko*k*2NXvFY|<Xb!QGfe41gVQjvBFK^w|tCU4GpCa+>1E{&*lT9y7ph
z|8!{pt5JLtSm<CoRRsXwd&J%xrg|R$8s7lu2G0EjBeVflp!lWV^Ae!0aAsPnbNin|
zM>&-w5H&B~q&`kTe&Dk!JrvqO%HRQ&tiL_w|MOW<cnCl(Wxl|IgKl<;n+9t50P$~z
z2GxV{VB^cXOrd1AfBRIBSH_UycAY&H&=%a5L-jh5*dp}+B>p$!g1j<}pz{y+KAOu*
zQw{$IcKF|n19@c(scTJ$C+_Sn>&kYnz&uKR1B`z#?{Aq>gDHx}?MjD&thK=>7AZ5O
z=Qi0-mCK*m|CN;gEuDX`7bL?OAh{H|{OiyWe!yv)oB-Fr;L`28<WWK`ld9Xhv;S+{
zE?3-D6J6?!?}Ob*LlMltXVP;!(-);s!OMewW-QU%?2l%midxo!4;;{;VEo4&sjfH+
z6BCMVoDE0x@KS|tZ0Sy_iHP`9P^e3~Nn&FLIS8P6dkT?rDq^m?d5hDP*qVoRJb#1u
zBP|If1k^`>%mCv~11*xEqQ)l($^lTPJzj~s5C28|bDp0y;!qpv$QP8qtXXp`o~3B@
z^F3l9pr;_gj>-~3L>TYiulTYIFCm17@lltSY77Yaptq?8;LGyUxj^WxCx1siH(HO;
zQ?>7`UD#aZkr8T`w%?d?4uI~)7x_iO3ff!07a>qRONmdxy_#-RoNk_t>#vzXl~4oI
z+&yAFC#m#zPkUkggu3Marsn%MASkZgtOVxeq&+ExhLV+NAZnd*b=>`fI#utq!&tHh
zO(b=qkJX$>aJCyDzB`P1%wgOm4eB8?x?*EeC1gC!?*LP7XR*S7#SIrk^94ligG!h=
z*WF`)D)$3iT_xX~!Ml5kib^SOp{x*!a{m9}1dl?2+X7~~#H5|ojXh2Kbunv^+M`Rk
zoi_vN-%aCO!sd>|I&Q1O#k>UfINr6|i+Hv0Ri@!Sg2(UWz{igj2G3tmp7Lv)F9|h%
z)BCm*-0u9o<&)YY&ZrkE&4Ns{mIK3{`QYp%bE0eDo?`*$){4PJ38XrB;6v`10ai=w
zM*)2oEiEV(MnP!%g&-2qi2n01TLi-QJS<WKwZ?$~h0Z|^%*dYi!SrVs_c;2|7b*UK
z>Gm>0(+kS<t;S?1vuXCEGVOAE6kv^6<;wc!wf%bDA5<?*=pRLW-=0~Nq}=rZcd8UH
zT5Y>vjw5zDuGcLFWk!f6NqxFJ@TQ?@+ZaH%|JO8aB9OE-yxsrg&~{m4fi#CadPA0d
zu*#x&Q$)(Ywj({_&3gU@Ay|8i7$;z2rsMu)1j{Dak!?Fu&|7=?hlvhH0835ToCXuo
z*~SkP*{=<oOl>bO>a+9B4(LvBE7qv8+ta?nZ>Bsy6QVn2YYVk|W)!pkdh;=BdB)5)
z>vA#AuP_y%CCXgr$ndWg;%YLv7^~ARBJeF%(Yy~^KhNZ?omUiHUzbsf-Rqbqkc6B3
zE3ESQ1_pC|);UnQC7)jJ-uufn$<F>BbHw%K+zyQ3D1xV)AwiK8xKHCo%R)^7tK+1^
zy}a*yV8cPOT1~Cj%CP(sive$i=-^i@3`N%{G}?x|K#v(Z*!qT|FaL;+3dd*~x*QC~
zL;Xgh@>PgQ=TB-VvwqL-^M}BjHWxumV|AzU!g5#pKyIGJe9p>G?>dh!Y*3ZjIrpGN
zI=uTzWkihOXay2KpjPYBNehv{Y9%5j6wi*K#(D;!!Mx{{<&U3bQW96QFAfSsO2-K%
zq>S{cTFPJL97R0A(Pr*M8JP!N{PAe$fnQRBG>a*=GW?qH52TK%7|K3Sj0@u$X{BRh
z;N~IX=@4scdsYn{sI7cb_H7t<=`VTYd9Gao&sDu1Wv*rL(w1K<6>Ye8Qq1HuYMlDC
zq1o>mSW|&?+M%)Q$(bC<2ly^&fA{zjIOpjKt%tDIGU#L9t#<0MpLnxiwQwG(?s5q$
z8gb3?%YB{8hkp;#rjdzTEluU%;~f9_(wN<|1pPVUsn~~+(i=rN#H&ek{2?qU|0tKu
zwCb@NoY>;YapWzRE8ig2bX1|9i$uPM!J3Ic=lklZ;T&F7%Zh)PGTzb|q=-0}RKyT1
zwTO0?&2e3#OxtcrBC8#9#xM%+&=|3$QP#q@LA2R&?R(wpdf33vEZ~j__a4WMLrwH&
zu!c~-4Qw(il%TCBf4t~nQ1#`pa^|QLuWpro_J<H!$qfpq;nH7<$ZGAL?X_60L3Yy}
z)JS@#*b*5v6Uv&!ZXzGOqxG(VNB2G=o{)ACR_JzY>Bc7PH9A#9P=KpRQxbeKtBjfT
z#G6~CH=cS2{n~lz0sHFl<%)u8Xl3e<%~TchGl!F^ig9m<Z!BVT8NES2)Jf%!@0sa~
zf+#xY_K`H7mk;`zIHIHW4j%3mJo;&zH;&)*3|MD#&{BT^AjfrypV+CkwXAmc7>>T$
z=OUdaeWhN(wc9g(XuR}nfgv^9Eqon+{54~%YE`;9Rdc)avbOC|+yf%k-p+IAbPYwE
zOp1_gduI|6YH)YUF9%&c8P3Kx9K7HAyEby|ilP0xg?&YDrtR3gqdMDJZ7U;m)+G*#
zR9_m8q0VU75T;@1mOpijvqAS8(1#G=DWa}3X`!r!HxYaQK&QK*a^ZSN^AvtdkL~1h
zjMZ)tZk_SW7WqqJTVdPE{Z^erc>|xjz%t=R7H-WYX!qZ$ND7Pe8y0uI)YI_wcBCs0
zP$DsPba$w7KF*f3Rfv{&dBneM+Bbw$M;0D<C4@;^yoNly#ciOqL_>4%lCHL<8PDvo
zCEU)M9-jQAPTTdsUt-TMtU)b^Ahq5AA?YxccWm_fy(nvgSDf|Gyi89aNxbd7hMrrc
z)bQxKjUC{y$r$)mHvx>FxO^V^Z{gh4zpd_Xg}kn<B!4`D)pNrU`9(UU$#{%MRq04>
zCR*Y6#dUik%f~!4`C+RJ*PZr=BFX$;=prz~_c`!V8}6xsoCiR=F@D3%Ye2n~cEi%0
zsOfdp4q$23(eFf(c~23{11|m$gSRdw(@A);?3Vamym<3aT$ySMFTbrNyX`DOE6u&_
zesEhxWw}xmXOt4F&T|TQkuow9cjHi7ThW!{K?Rv;Of6O*NpGF}sOTWmnJu0m=?i1V
zMCr;A5;SVrl~u-UQsNG8r{Hiat%Sx`e+IIb)k8Bh>!js9U{$WkCaZkIybz6c-QTCM
zIx*su_*j-MIx6+!>jgD@nOc2j@Qu4KkJOPx*KY}8prtnqvzNK&U+Rh~9*N7&jgr0w
zhPDXw7$D><M+^RPeHu0X$|k&fNUdr&8m<a<83t=;xn+TD)}#oJ>z-|JC)(PIjU5+E
zB(b#!tTFPP+=8FgOQN#`JRT?Orj=Noipnno+T>=nsqTGA5PwHV+;e`a5w}bwH^{?)
zzo*m<Z4&d&Z%oy<Qb^$ZV~?|O^hId$qqkJQaz)jPpxH|2TRy2Jpk>Nj%^++o9q_ee
z;(lfFvW2*<sTdE2;#&SsVY#NaCh|>#>lf@EeP48Z+mJNg04?>#US%j{kl$~7aKn4z
zr$MiiD{chAB5Z{mDD0uz94~U}We`5i!-Gk3IgHw)4ZAr~;d3;1j?Sakl6{gH+4_+E
zAPb9Qn;d}PP}J$ueN(r;MxPHRmjyE^S`h+B(dtWGW5~<gn3b1>`;9>jO`90Xh<u1!
zm9Mm^xq+!HZ!kB3J>0#bplR2hw~{7R+oBeacmo1yZG~%N@QS%pr<pcC-xny&QCJ&p
znKB<#_Z{ttb~6fY#4VPg8+X>uAX7K6a8=tY<O$Zb)bbXU72n$(KD`5Unwf1fSH~<G
zbAxr{FSu79UrJT7^*yKJj~xmQy}okuB+9?n_*co>>Y(YhIfL!efxziP7v`NF<A)#s
z7l3*il_uYZSSzbvPUG5k$dO_<m~&FRdD+wG4orjCe&S&W;Sk7c?qn6Jp74BLTJWh=
zY17AJSs9r+_Ec#RThmyWuabQOR*B=e-uvyzN*0-Om>BlqJd9%y9_9^SK6V-v+Nd0w
z5;$#cc*R}skdlWGQoZ4#23*0Rchb<q;s%VoeHod;WK_Mi(yC*b;^%uRbu{+QSEW1)
zPj>ob<>rpt8xf__y>r;8p$SE#g;%|5>G$#~*}U=_fm6#uQebZT?^$)^`Rphi^#5X%
zr%XT$(HGSKrurpbh<R;}pWDam$j(PhEbQK(6FoQNf<0grHoKTs>68B=N4%<&fpO(9
z@@{IGfQ#e-zF9R3)<im1MV}`xNW>QjgGE_S{YsTdy5zRmG)b=%Q{jTHzR8NFT-RTM
zj-}Y=J;iBf+6~?Fs%9RZtv%BPrHz>6@t82X{n<n|gs9WghC(#CH!8gBQ5+0v8!Y?k
zA5|^p|H(>c)1NC|6Ot?;(~;k$3)S#}^RPK$vSc$Nwg$G#GiUEc?7MS4q!#LVq0KnC
zV4wc>!-eg$kU3wg4t1W5bC~?Spw+MLb6xUtt`M~+smUQyVy97AqPN4Bb=>d3=My)l
zCi|hQ^M=MSb}rpo&g;*btcMYd$;zXA$kAlsW~;HfK%Jd2R~r$}U@-p8!35>i27|}6
zui#+({Tl&09(z{rBkHvA+e{@HLvnoE<mZ(SXe*-0RSR%!Nzag+`4dY>I3M^FmKPjU
z6kQNS4tY6R@?LQ6eU87fWX+43Zr~eEAsy767KT)nG4Om*IWvbV2F=?q2msz}lpafW
zL80x%KM`GHH$5TFLXgL4aqzPFM{ZRLdHBH4hqM*B@DV2M<HxHqLj~SS{ZbdLnQuoR
zYDCL>?#758#C$e&=(DoB3B7y2DDT2PFO8a_3~NSTdv+hqo(o)=yn7sX+!{TLz241@
zI<)B<fdn+D@|r|2;5_#CHDdQ|OKv@cIw)yOgu5oF6Oy`==x8^cZ8!x6N0}MVEOcF!
z<SAD}{<L1xJ=zu<Ef>zK!`9CCK{iLN&`4-UbF<5>u|qERd*#Slx@l^f^5{z=mhF0D
zQ&9Pp?cCeIGXF#d^|b@<O<Pe&l0A%So2ro!ZN5e<djMfo^@(@Ti8c)SaWvuH=)Dsz
zUn)=t!^lGz?Ga&(Lw(IIlaHj9W6ny5pu`ODpSRfGh0=Scp;0SJ+X)Ls>#5!VtL~dr
zfznl2n|?tsrYJXmkjGmJbKOljBsqP=;^?`^szlkYq=W^Bm-JnW<5lA46&aHG<vF|f
zX(Kr2k^+o$xQvMgZ)3KDdBc+CcY+MZ#NfE$MnvAc#8U5;_(>{PvDe3<mfx0=G~eYn
z9>kA@d{3_mH#>#Ob2+M1*(BT{wUy@!#B^G}YW=JAi+SK7<$r)@8KM9#kKFAai$
zL#BwNM7Tln^VOYzw)-ekhsuj%8Oe4}EB&KaQs!#jv<pr5(y7<Sda*Vke0{>oQcFZp
zpr;gC5vbnoij&A<zxjbSAQXKr@<nA*>&_6<RPywhqd2r5?z1lAO87v&-Eobvq4S$|
zzV^a<06+0M=j4vp5?9`%4-(YgC8Z6Wlu;!=Tv6&p?Q_IeK<C|{yQ6c=W$s9BAd|;6
zoDT3!1RuX}z?hhw6c`{iLhx9vZJNr9F0CZ3zLm3Bog9Y8dF5On4K}v(=LR{ZhE_!-
z5Bed3l$ahECXefTYzGm>^j{6MGK3GLNn(pg7D`@uN6w%M8`P4w+`O%yEAv5edFi=-
zlzYUl>};0Sz_-vtZRVk+DWQ_6aQ`-?{+MKSdt%EiXt+XhJlo6DQ;)uUYCI7F)4+XE
z`hp=?dro~bnS-(ikdjncRRil;6$X0eV3@2zp<isWeC5{3tp;1$Q_}73zPw!J@`W!i
z49PuW^o~bYFd39jEOmk(W|eLp)S`4N=y+=gzFf^}w!W@E-^Fl7+9M2JKWeerFw~he
zP&kg0Y3`FC+1PHL?AcB)by@7ma+&o#JlWNk7u!XP8X~5SVRv>~Jbl^yj<yewvsOZr
zKIMaHddbv2-679_yf+Y9-RD>M4B;aCK-+xHK!dI1TEz?*RQTmmp)wPFQcq@8tdGA(
zlHyy3+T?tj=Y^=H2a#)nT^(MS6bFq7BWKAP@0cBf5Lquaih<WR#NIxtkor6)8*OR4
z@o>3hs=H<|mRP8M?3EAeuosFj;5oat4Zi0qs5Xjg6rwKz?a8RwJrs?E^>I+v_kB>F
zrgSHRrUfv222j?fbZUSSIYk_l4s1%M`mY9n|AQwm9cP-(l?w=mKmDk9C<-8jtt(^k
z?kd^8N@&b4pNEkLPk!1-C^^qzm&>%$?9`dZqJHDlDU?#L@sgYWU&(}fMB9+#O2@hT
znZ8;2(60m#A*;{kOz5x9K&+2^@?U`1-h{N4Ke^=5ysBm@Ay|8q{J!c+ij|}AewS_z
z%-nZ>=FL>_hOtQzBLjCc6IiEh+b4P2fQP1Ej)*2#$1K}+O;?RhfUeaTcrHf$aL)%Q
zN-9#YI`mA4W1!&84`L|Ip0hB#LiojbZ~5DPVb?CNd-F!lzUgE7W^|c;g&Qflqd(SA
z(!lWqF`@EzP|mA-mC}C7O+p;}@B|@Ac&6#XQ{2SU`0#b)mQwJ*K#T2GjKjVeT-BEy
z*@Sm&f$ZeGz<M@!WNGq4DQlVAcdTX@N!I0JGjDJjeiTe&y&jX~m$ob=hHcJt#|?GC
zo2xU`E9+IR-C$d}Pp9C1)noQ+;&N_9@N9jq5H@A=dF|+3<csY&C#VKX%~GkX>4VCN
zLt-*rjnG;>_c`%Tnw~SoU1u)z2u_}Vk&M;Ydc$s7szKmq9^gs-o(s*-C@JMAFT_kG
zUDqaTo#;RX!}eX)f)Q4Rj1@1AT_vDiyk72TNEVan#I6Tbkukz6q%o8EujK3L)z%)z
zIGNsdVu(Lh%7rIi49MLuKaLud5=(cvrL}o$XJl^gzR62usNt+$^5S?}mKv*Qj^6xU
zHpiW~P^L3>?~Njo#@upTy`n<~u~mj+qDr=gTO}S#vomeLWY3o#bE9<Nc5Ed(5yM=^
zJyi11>=NF}_@&xxAP!?WdT$Q`>tkG45LTrOW|!X9Wg<?}>(m&Gg2OMr#eXrC(irp)
z>0heyOIlta_ba^fPbGx7ptrPdJ<3s8t7?XyxfzViz?<Szx=(#tOzge3E;qGot$~8@
z#@@{}{fy+@8vC%!HYvn|`D&L8dZT^BGnEyN#UzzRUr4phNUeQc=;G};dmjLo@n*c@
zv4K0$GjRiSI!`K!uGWmWwfKzsrI#v6uEw5Ln<$rP8&AI5%7E2RCETNMp4LOZUeE#0
z%RtUIXp8tI3)NyynoVsZKjZ~Er1;?hqGs^0ilRo%HKTxIq8+}x{>nZB!BD0E0jBV$
zq;G>)yt2?Y2v<{<7YIiJ$%B2<o;L2O8sZzT0^^oHA4*YO=6xL|SU50PF%*2uUq6jS
zZ>Hb)m4m2)#n9?~qO2H7&2GS<%^c63bkN_T;uZ^1t*Z3%yw7u=$9@%`5scUT(SnXY
zjk(B2mO_?3y_Sz#oHuvSn8GEhb=hlaN8d?3>uY`N5-6Kt-5NO$VG4F6e5&wUUrm3N
zfAH$Q-aSh<0zS2<d~CI8`4p18<U8<u<5_X%v+I=_4v|k+gmI$bTV2~zs$2HW<AYL!
zJ4lTH0R<JKkCz;jo7pd57~Tb+T8gS-VPSqh8^6^;=FfcHUM}FLm|tKjn_n8SvV8p1
zLt1|C@yB%h%3a^gkg1g##8@>$BxJssU;%bN0W=eTGb@HSxYig}IT(Lx7&53kCJC?X
z++dnc{`Eqs-Oa&q4RV*8jL7RV=GX95NTQjYo!jt>%y|*iJ63qxiOA^>emz%i_JNt$
zKqy&?PI94iC)9auzyIlCLg$1T?17}%933(rZ++zk%(VRy7d~>}*Uo_KYUht)o$0}3
z6oS#(e;DzEtvk3osA}2PKl0kWd~|A3tBZCX6>5<#W$u(^8N-%6BKyq~aqiF`@!R#+
zOB{48HB4veZk^bHY)7FLURYr_g!9z3$J{+eGrCl*dTE^6lhP?Lv`h--g=^Ygk1H>{
z-C7~%lW{q>qpCy0In@qED<zgo1)rY23=G~vWdC7u*tM~(D}$zEBIJE-%Tt{LsSpTj
z)e-<~!p^sJviJFhv~c=QykI1p*t+lU5v26hSx-X~mkpy(H*^EpQt7kJY~XxI)bs6a
z;r;rH?2~0HOrCk1O3m1N82E|m*XV0ReBg5zA-~M!h4$zsTurIX<~<L?g}K?p64~dF
zy;Z2E*~!)vsM_4Z$jIPrMMnP(ecSJ(q8*72Fc@8a)eTtWzV6@|xBpw%`@>X?&bli;
zv7HUe^bPQ8x~k08NX=;TqY2|ZkGP!a)S%0Rqjya6_vTN0fBRz)sF)x6S{tju)rLS1
z)mE-P+2ED$jR<-h<8!@5JRW|eA3F_C&epP!Z+u#BJK&a36Q%@JDc7K*<-a%10Gc=6
z&r4Jc27h%+)gHMxb>+o9ld*-QG{(W5I^nl)47pcdUydmt9gW$FInOXhH*#VP;*;X*
zu6X2~*4QBr{E0>*xbkp0MrF3>m$=ubdq(<RHRqR$mIHRyLx*fW)ss}qc`*r}=wu}L
zo_%I%T8j~mnH^tsKD*R<z#bO*PU?oC^Kpg4ppI^H8uk6jW)AvCxYVmLP7gsT`{2um
z#ZaA1hm5-`7gQpyeE_x)Fr(t~{PHQnxW~xjF_Azoq(b#qLfF1Z-?k*gd}@Gc|6-*X
z?4eB^lZ|nT6y92?j<3;-fH;m~(P4boK3Dq)UPpdgIa+1+TNbQ7mtTA3#)K=j$MLS-
zv6Sy8+cVTW(nz0$B*(5QVfvnH=)4{~Q?*F<UHx#z$RP|4Uu`_M=;uM?nJ;zO`Bf{C
zdS%dREPunHHDukd7#*<FTxWF&((2FUWG8d@J}>t#eq94GXWHqS@RfpE0xhz0Ftt5g
zaGao`$_Ls@qz+=<X!-24-Wye&nhP<Wa*?T5D!;xc<^fG)TIs!t)7~^GW#4-=`IL-#
zA$wR>8Pm!=<cUNrkYk>8Q;b2g4Dc@Ph`O+GE6I{``q;_eq1bgSX+yXMCsJ5H>9EuA
z5-eeuMQ9jNSHJ)^*v>LInR>UmEAUp^GET^p6wiJk`00tsCY8d}s&PRv`L1Sd_kP{_
zve)<vguZ$4&4IKKwO_Uu0cg1dHk8;6DS}@V;)RG_?U8&=79s)PdF{I@O5Zc}b}L6;
z7fGg7h4s@^6QpCyX*x{Qv$kb2SXGrYT$^F?%2e1X;2WH)aeIH4VHV+$VJy|QzyP!#
zI&X3rQmti|-sP;_b{kH3YWP54LX>EIDht7A<1ak*qAxBO_0u?&m#_O}QfQEw-BV)9
zr8Z-a1AHlD&CMhiu@fMGF>5$hnk1Sol**Jek_mmdL~ertypwn95C*GV(ysio82k|K
zQ2g@j)a<NWd_zPLE;$HUvy>KGB^nPtXh0sWy0td+1@4&a4XeE)Ifor;Q1)mFij)2I
zpyPH-pz;PJBTs*;*_@$k`y@VPC~}=-)#;IYaev?7c0k9g?0}Vp+9p2lag|B}&4wr2
zBi8Q4cY*pZM6Zto)8EvD`n_+KpWC_I21w<^EPU7I^iZ}?{=UuR?2cQBQZFo6e4S`I
zi(FoMv#?9CwN74(dQcvj&jqy9XiXe&gf4Ed8PYxpAw1U?jdnH)rjZs!%`dmLwpC2j
z4JI{Y3S+);wP^*tD9lS%uCuy0R?BQ{+<yw`!~V*%bv)DKc!zC#sr~`XH&uMNH>sdA
zb5?SSN`-{b>6;yUAKJe#-2!&JymR`#Lwniq6H<lH9)S<d)`$<bQRKkbe+g5#_d2dy
zC~<`+&Mz3ID0XZJ7kf;<-pthXH2kt$u}r?BIpqIf4N`D`fY|BwSFBE`9=(k0ftL$J
zCT(57#U<Lt2j@#~8+KL<`3-s{(AAtN-f!K!3fE;ia~G%Fm`r!uIzA+!hQ#o$wXrI(
zn+$(Z=?yVx5g18bTwi%fa59|lTk=R8pQX(UTI^|jSm~>>U*4=Y?s-V`{8l>BviW3S
zOL(ZtrP7JrP$%sh;`r`1irOSkLzrm9(-sYVpc*A3LdN*vB8&MHH=XBjxuw(iyBpO>
z={(np@TmBdhij^&g0XKlLjlw6!o_#>aruTpYDmDsK)mZ<w(U;_@*NHDW#crKrhE8!
z+fo9qt73SPk8C(+!g!`&x`a-_*$KB9oA60;E{ZF3Wwvy=Ti=t%Y(8W>Qfe?A{sPyM
zM0Zom;GVGeD)0C`y-#^i7tL|@Hf)9k$=7tKeKXdvM=q8h^UdnTlT|kX&o0|3p+1Op
zu{*Jt8E|$HaMrv{vynl81{Q+|h+mB}A0jdAXN9a@G?F+?OB3KDgkhJu7!qByTz{O*
zE(t+cS~IO!JE{MA^Eyu@kVQARmXikhei^aJ-#&9H#FGYX(hIScCDy4a5FGi-mi?FA
o*co64KFomKw<rFkfWM<*cT-~XT)l@64fv<4W2l{X_Qr$%3*{p=SpWb4
diff --git a/public/clustering_files/figure-html/unnamed-chunk-8-1.png b/public/clustering_files/figure-html/unnamed-chunk-8-1.png
index b442cc1c2c85d01b25ec19b30d93415207c1768d..05a1287053df33c4a436761752cb61cd53e69b58 100644
GIT binary patch
literal 148994
zcmeFZbyQXD7cRODBoslAkQ78fTBJK91PKA@Qo5zP1VlwZL`oV2L_oS5rKP(;I;1xp
zXKudl_Z#QjamPJp+&}JLca85GEMf1p*LvUi&iOpgeBS*|QC<ogiv$aSKwv+SeyoH*
zpot(5SA8%p!*BABUs=Kr%vaJH_6P)dAnN~1q4Qft2*h2)lgFYeE^%uUuIl(hXTqD0
zo?y_dT^iBBRlGV>@hsnMK-0=%Kr^M<art|-Th8;!k<srtC2qy5R)6<ZwUBDX=AxDa
zwo~74kE3y`;6?~qV#+prn%{4ZiAxuymbrU%Dz|xY>-X>07zJZme4&^admg`fxUq{P
z$q|2;@85Go88^-5zvoT}Oo4w+eaJ;F<NR}~kN&al%0H*Wm%?(cAPz|V>bo-(68rmA
zw9qdj^wAT%&kmWjN{0DRgJ4QU_9o0vHSPQNw#LTB!Dk4>aG-oVpOKN#$iIItyNr_)
zR#<3nWR#YZ3U8>ko~R%oBePtkhqot5%-nJL=hG1UK36IJIjy^S*BAYt)4VIv)0h4^
zT|?mg|1bUT2;41jgkiB#m6Pk}O_L3J|K5@uqezs1fWZIbr%#`T^t>kq^F=Iv*^cin
z_Z{#3wOAEFAnLwAROqh~BhHkbKcD~e=g-=jwuXk;sygD!N_Vn&sPI`COp#AuzkQb=
z5fPCIYKrQ<yh5WuB$f9M4BQf<zISi&cZ|WRdJ=Yp8}fT)rMrlTPtFxzRXR>i<ncyr
zM#f#3VOdlJapdm(9qWpI_!DBHPTX*@Gk(hZyc!h&h*fbqC-{Ln{`VpHKSgVGH!3ir
zD__ls+1lpkq`HV?W@h?-Oi4-cL&q8Ai(L3KGt-l+C#)rP3DMpAPZ*zcY|S<Y-njE}
zmHrC@FR$xdOIS%r%ANZ(Gy<o)eI+56Aq1%|g6$yo<itblZEmhjD21RUdAr}YtgK3S
z$l6-(N~gb;<g$fjZb)-$YnBN)1OkTu?yFnoL4*uyK<U4HEhzYetE8r;rmAYZs{SQD
zBO@b69FbR$EFNe*R?;!}tWM`?qR?qGrFW6zZ3Kb~73!L)i;3Pf9VZhWOWjm4PmSR+
z6Vvs6p_Ibb7i$AC%8vRFl6YSGH@JV+*I96fxAgD0RoA4XH1zcJw6?Ym=5yTht4~s4
zSY|<ujL(7}>aw|oCS7m*{b7BU1+J`^zk3YNjvDJxA^w^oG}IXavAOwwzu^C;(f;4%
zh7VV85c;`ZCtJ-{V<oWIQ-)SCsfvq>?@5IeIWno@5)zicc!kVDT*3$X@S-lgw*o;T
z?0r_1lRCYOJi3@REJhxe&1s0?>Z+>$<+W}4Y`9`)`?co*@GxATdV7_U6_?i6t;g8D
zu+Y*<rYZHfqcRXell0=!R?~I9)$aQxj<>D+)tO2hQJ;#y7W;o6Y9bcSI}06u$4X1<
zmaNT-zu<2FEuG@y=jYDPtgEYgpq#FLj~?NkHniH;+v~s=KcL0J!b0mmUgLSZHd3f+
zbCNJxYO^sr+qb=nhPaE$VoAtYZkx%@cz!KQN7*QrVj2FhurSY~-Fz8k#NJX6YmLkP
zgmY}}sZo0*<k#%OQJc4kiF&%a6wS8GwdM!}>M^@V%{WNJTE0FB=W|@?&t`1<{aYn#
zK+tX1^d)~RmsMLwN7~TNB??VfSJ$tuKh)GzRBjUzIxTgJG7)N(&b#wDuWO5n`s(Hq
zVFfT(!8Ko_a_(AVR&EWS-JG<RR1ZC!d|XRMM=^wHPQ%IJ4lG=YRr+j68a&Qsamd8M
z{-}3MvpPCDMnpu&Sw7Ahz!PI&U}$S=%f6-J_f;t~HPxW-2dW%u;#`E2K)gKBty}P@
zFCqpLJhq=?6&d)JmO8t+RYXOp+2^9>N%P9ZE34kWfB)gbjgVOZ0f8^Q^6(K>RykQ&
z7KKjs&vkWmwYB5o<AX0gp33*)ht2rJgsiNr6?tPda=CA@A>cY{MZ@(%>IVO<8i=~;
zf7Unr`v0q9a-0V#s`FRCbs`KZnBN%^tM&2n5-)tXh0W=UyfhrBoFP9_g<6eyRH!No
zE9CeUL@;EC6ED4pxHtjR?xcmc8A$aSkHeXtfjPY@FJ4el%?;-ppca^n-{j=v`M&r0
z;>-*TD@;go0BS@Kqpwj}JUzYXJvJdBVeivP23my#0ps7q7RA>fZP8tfb2s4<(oL)-
zLD2m%HRFkEctQdN8QI#>((rCNA*=2Qq@@*yiga$cJDiJUi|BUxK>V<wzCL;RuRxtW
z7WUzK<wo`ZBr<`yf6>CYj;Lt;b=E3HU0r#)<zR{{*KSPngy8;JS*bAVORuXF(Rzb{
zz`;j-y#AGIelHr|6O>v{m_MD*Qp?2?t2sMbEh{T?S6$#)FCNle9m>_izjqaJ*Pn)t
zj*{2zm*qma{i6EeuXp(2v~uPnNr>s0i^sLROGmfpha*&$8%0A)%T-|P>Uzjpdt!Gk
zdI=Hzi1>#8#}_}}<Y*SZ$AyAt#73;Gt&KrN>9JXVc6w}vhVY5J2qQ}oR18;DR|`W)
za935$R4Fenzjf=@ezxo0+6bq`V0Y6cM0R6eU!l!ZjqxKR_87U>mwW>6px{W}9W}L~
zJCBUj^XrF)hvBvA`J$-F92D1Ig`XG4^yI&T1mNh>#RQ;!{ZHu=iG8lFPE1Hh8{R4z
zOd^57>v>f46#ikjQN5p#BMyP#bNmK1vq>FLam^(qB{eiOBqY$NVBJN+0*r_t=Xq5(
zm<-Wg=P8Z?aotT4Qc_VQ<brPfgER0sbyphL?BJ(WoS&axMg|>oWqJ7s7cu<CMgJdc
zMd4&#?AH3}K0`#?dn;NxI(#v&Q{)g#jAs6bkB?8N(2?}rI;*dUO*XL$l(?D4@3y=2
z{dv}x)cLtN!!NB`VcIOAZ{Oxw$HHS>LKTkTY5*b5ldc&B1?+Tmfw-R_pl$y=4w*ee
z=6Yk3a{V6cxiow!M^zSMc_3>jTca?0z*tUB&dtru(D19YVX-ie@Znte__#I+GoS~I
ze=g~HyqBX_n;^F^H}|Wl2~TWgWd#P7L$^7E+~jxki&c6ijcPYXYwI5<l#zGmBG&dD
z_{gaYTRu`jQLJ(Ls~LEcoJFsu%5GkUj}nF;$?BpGT0Mqq%-iuYZ;Y4smDIx@5bET7
zn^#dM|4kd3l~2NHp%&5Hzkf?CT`qPoO*ZPHf}yIbsaaV7YL=e&ts-mBju>NqcXiSE
zlkvQo-fE^S)lr0(=wAUS3_sAXUKW*<Y=U=Bx^D<-HKP(%$weU63Hkf`KbDkiGh_#-
z?YzG?W^+A2>_-A1r+8d;uakqLAV_%1N=laGJTS)Cs3+_m{F;_#HB}Rj`zb6e-*#3~
zEAR?V5afs@<k7L)6Ic+-eHpP2;NDE#QDG>e^~j*<L!$Rt46faLTLdglohp}}!CUp>
zb5OS4G`Y?Ob6b)#!R0RouzS!H>W%dI+38rZMKdjg8DfpxExFWPGiMJfSxHEPdA~U)
z)h~Uv@haE8!F+Y>W?OQ8r`s5t?juvgH{N{x`W2?Bk|phqnv#-|s_LK)<6{Yl^0G1x
z0}uUk6ncQ$BO)Le;lqVXBUVK&+w8;GmKe1YYDv8?GB4(%q4_oVOuaAGrsfbiq&LR*
ze$Z%jFo(5j^YuI*Yt6w+@gQBV!+FQmK@EP?M9B8`^_k`R`+vMhEKcj=uE%>;Vs9T)
zyUs_bZO*bII2dU*omd||3dhAGCSF=vGF?^A7Ee~hxO&;f#zqVMCAoQVMN*Q_IxU+-
zZcquVc#EMQ$f$*d1=Z)z0|EkU$xKSVm6aVptpUQreCs}hiWW@g=FCq<Mn=l%;`#Y`
z|BuZS?oa7&3)Qs?pB>E7ItjA5@2!ak-i+xSDKNTT`MJTCtbz;SV;pd`Cirb=C?%V|
zPfn^&rL?rP%R-EaCAq{Za;>n-Yo~*IANfhA(kYmnza-|*B|vyiGYtW2YisF6B7Fzw
zuK>-`(hl!p<^meIdhJ?dWTbAbSG8WP7j@XuQco(KLc&*t%a;)xlowe?-#~S_s}Y5&
z3JMAyr_i3d;@`eaLl_iGd}F*13JbU8aQDlsF#u8hnaVi>qrYPwp<|O6@|o1XMuSTg
zsU8EM61_+PTwLb;-+l(-Xr*OV3PsrK0S5mR9-f1DL;Wsckf5NTmcE2$4%hwr0YdHR
ziu5-r1ctNJSot19%AJ4<;Kcv_{WMK!<YiWSOUqsVZz|tmb(Rdv@P@4Rqz3x=i3jD}
zLL@!-p;IY|u?)mSnI!>2WEttEr#FReEt)$tRpA(P&A<^R;5s1_TlM}i02Tj_$kicA
zVXwH3-Ti&Nayz5g<)L)W0~klBX;0gqJb40(;sz#W@>C~eDRfK$0c{rTvdxxzq1|Il
zTD?FMj^P5IEaG_W7xt&Tr#@L&((>~1E-x>q+bbz6V^T>-NTB0TaKvw{tnfjpCd9sp
z$X@9ZKEH9}M$rodFkbeU>=+USY3YOIj70c@_nAP)Tnyxln27{zxo3)sA{dz0uPbM&
zczJo5nVC7r;}Z}Po<VxB{N(i<7U4rKuE@?A9_xe6nGWa2m+F3EqV92fd;7*UKVVv>
zrl#%L&$0%Ljf`B~-AjK5zxKyXQ;LBjHg=3X%fkAe<cBh^Q@7K@2M->=qjJQ$?k@EJ
z0V$Ez?tb6j-%o!VOH3MAxKifs=4PJb<4wgf$fzY&V^6(ru`n^w_*)L=&D8l`u{1U`
zoQr;FfI+316N$_2aj@xqx~k{!447sFqnaCX<vuRPQe0yYkzTc1#NgG{F92#GRI<K*
z&*uC+24~J|!!Nk(0XqZSH4e|M+HTYFF1~b8Zf0KGCMSmgvj(K84U3c4dYlK=Ij2Ke
z8Qf_B-Q^<9zc34)o}R!4)QgLXI0D3c^XDn#6@*VY$Op_IO+yB+a9oYdx%WD-A&}Cm
z3^Lf!PVMQQR^Jm}5yfZEs3K&RQFL?O&Q;vX3lOz~sjca$3IhR^;Zk?9kdTo7M+pB9
zA3i|(;^*bPCAPh@)0HTkn3(9jvmm#Jm#hd&K}rkl2EytJRQS9rTU%R^8)6^cy&I|V
zbPsC0l7r<L`J9Px)uCd0+s=)XBB{J*=2ufFWmiQ<I~-kI8)K!cS+I7eQ~(?F_vc-u
z7>$+)BE+T?5@2OzrJ?y+Q8BuP{!7q(57K>fCloCtR6tFR#|Tp`NYNs)l@7~Fa&p+@
zSJjgh;{@GR@8a&RjVROK9_8c6GXQKv$!V_g$Wi!O_eWUw0{i3k$VFK5o|9FseDNW;
z+vE0KDE`nW?iU#j1VTsW@6u8WpKZ5!F;+ms#KgqNNKEH5hKRJZv@!_{#1~X`E&8VC
zb!fCb*J^18$yKY=`o2GtMu9&P?*>AD!)aqOJ~~>uT`GiZq{7jnD?w0>(a^{Ucxltx
zb66GrA5*15dz+W<5D`W7q)OS74aHH3D?4sXR-XwOspe=R0WFpo3Lv^^0g3w%O1Ka0
zAdyx>KXja&O5pw+9g#q?cDA=I$w?4C0~gTrQJ28%-@nyfr$<MriBG?9EQ5;S?D<#6
zyJNi6W(r?H;02P0*&^LnZP{Q3R$j-$ItJ_I%RVL8@GQf1MP_}fKeV5;TMTBq0+ON3
zhJ5q8tc>R++2f<qDKAJmuWW5&ggh&NC#n_!%1sA47SHFX34?el;UIDVPf=M>Q4oU_
zkdl|j#?Jl;DXW0-L|(qLwKZ8Mz4+_y?ruwq^pWgidme`+#YfnAN3e`pHH*ISYF<O+
zp)hla!(u0S77o$lz|!Yg1L=ZOnnAU-wU4Ru-3oCmA)j*iW~hgDpPilI(>~362Jj#l
z3DvDoXp@8;a1vLMi!1{ZQ~xUR$B!R66%P5<?NDz)Pyy7xzP>(aRsQYU62$M};o+dw
zUOi|tz`^BmRQp=P=@jt9AYB2b5?_4V_y^KY@pqf&2-8!Dtl{6VjCMyYaygY}QK@Y8
zaFF2|Hp%DDpAC`59j3*jKt95Bt-t^HLF?}U0j!kS-_x@-pr*%Jttk=J^y`<4n;WDb
z<oX2v!-rdK5sXF7rU;)VWrm1dCtJUIMO9T=ymwE#xNvf$C|u{D0D;t!k7Dp0alD1|
zL$ZYq@$za~TJ7uSqxlBSP-HsH*QaW|0bE#a$2(8j+S}XP*&RXlgmR+Eq>sqc1AuDz
z#z}%PycH;6_Hed*1|t)b1H29dAnQU1h0eCNf|s$_Po6&IIKI9Xt{{|*R;>%E*Q4+V
zz`-9#W2U^q!sl?W%(yg&qWdWDzdhe>rje-vC@W;v>tH4j1&~zx%!?r}0oh`Y#mC1N
z$ACn<^`}v8?VWPgz+}07#@WgD?+jwnFJ8PjJ^mgS7kByc<u3)jfo;IemT^HIs4(eD
zAmy@jnG2KpGP#x_5fsUyBZE=?YUXuR)DV2a&!0arsQ|9~e}uAjlbr7}u9A+9=W;J7
zrwo1d?C*n62PW0={)QA(*kHhe6x1jkpxTX-3N@5h&~HNMCptb_M1N#6S%o8f(mnWW
zTnlQ6{Ygw2jN!q7i&#shat18l{Wiv2+}WkJnVFf{rr=7~opj06cOO2S%!Ud>m9{k_
zM|}AS%pQ{p6pMj@fy=%kG<cZ<E1>WennPAdAK^D(BbJZj>1lBUl?E1$Td^<;%Q^(;
z{@xy~f7NcUETneprRO$PTTP@kRnNT7Ldf|c1x~d*FSU|M`=pDRo0<85k<s4SnftGd
z5ALUrA4S4V{OVu9kivtg-}lWB?CNuTuBxgFHH3Ck#lc}0o~Vu%^0xcm(PE$+OKDNM
z3@j{rdwXXKu{LMNQ|E&l3%H2sA0O*}iW@>5SUcPV4y^-)zB@^@<mSqY{gtd-pa!^N
zsIm^{Ldbq)7#@dbxw_S=+3KPg4_H}+J&zomoSf|J?2L^UVCv9s5bIAIUq>X(1BCVj
zQp#cTjQ+O&$BYEGw)%QsTz025^;icnLQ+zoJf>nTD+5_D&l8HAl$4ZxFD3!l@Yv0@
zH09o>qI%K$^-0mmOduts;hl^`FKT~7LqlA#%U7<DlatG>f-?ABg+WhGFKo%iyCmZC
z=Wi+uM+}Ux)^v+Z!(`G@6h1)?kKcR5_oBi7S*oOlvyN(!Ve2QL^U;xz^J^g&+Riqe
z0w+LP)a-QfL)rsynd)f209B;eVrYFhKlNb*lugih#>?$Z#NL7kN$?Zl!-a!cRjmYT
zlt^zh_%B3ATYLNI$w`IthV^Q<W+l+p`Sz$pe&^0XUj&tZ|KK2=7|1lOfZU<J@tGO7
zeSQD}Xo}I1$;eKZa4o1)gxI$c*;Wvp#(u^bX=y!TFJ2_)xZOf6Wg<NfTNL1Kf$Ws4
zQ^{r4OS8JCCRST^<?>}3yeG!S#u5?%%e|2BamaY`9{#O@Cjl~2PH-g^7$X#mM%ta7
z9kUFJC{{h|4$KpP8JJW`nMI&z^z=M~49AN+JU-^$ziSUq3Dt;^oR*E5`LFQ#Vb@10
zaSG4f9%G#c2mzXpbz@oY@aZUcUirxNj;&n1Tn`T^XEXl#2!>}3SnDdiW+l+|XzVW8
z4Ox{;6=a|Xsj$}xWRQ{116IR%$*`n$Lr0I6Jn<(gomrWfcDJ_5Av?rhK{y5Lo@*DI
z59Gc0*>CO$MNBuBm60*_k%_#O6|*23P{g9mLV4kn%`2-0Ok>}Yuj;1u0JlQPQ~n<t
z8X924AqRl8Q23CMM9AX+@CJx(rsbMY2_bM~HWb;yKYbFz0K9P=Ov=5&`gb^g_BGn|
z-|JL1H~6?@9zXsCY$zrnVSRBC!m8wDBUV;uOfMOi^*Av(`DvemFtc`9UR9MxU%DLN
zQ;+t*e8W~eE~n|3M<$(dy!a#}ZbK7S5wB`tkQm)|bX8PTKob;8-rU@zXJPq~lj8}f
z=@gEW6QPq$akqQa98GVqNrjHr9>vQKePU#0WW49^aX264Oio>Ph!N0mUpBI8v*9}S
zb2j1|g~lBftAmPJ1C}SG3-E|?Pp9QTqVSoNb6fZw1GjUMQ#zTlGXx;RW=e?9?F42C
z#sp{*jzvz<b6%&lVPyruMoEf_3?a`Wj`UH0My8aw2(FBw)$^Ui^X}%({f()qO6Lt2
zoe&DaFXVez0k1=FC#&6^kDlb73)t^8N@8df7`~Iw;CJ7%eEBj(EE&ZD0FKgyN!!`m
zV^Z<Ovj_`MO--G*v(_5MM{8HP*#7zT4oWTXyM2DPXvtI!fa8DfJ3vCPsYVWhD!-fp
zkeW%W<adJw@NZLEy(ts{e7OZzZ4M@NuJy(%vYGN~`f#VnV|(t&kx01C!BT4I;13;H
zj0Y?%34D&<M|Lpwvnne1P|Pz$g#l{Vl`B_B4;jQ-V8V1XG)4db!)*8Rrek4Y)tsLl
zkB(}Nx;NDOp>vW1t22RER}vbkp#1V03guLJ9z&)v?)U<{mw8VLr?SswIPb;zL9?(W
zVN5lOC|e=>Tr@Q9bj)cffo?i~RX3y0mJCYqX_vzp0P{4Z2kw%mfc631x>cXSL;*5}
zD9me9uLtCw>iO8n*cg>&vfW+9T41P`s?&kd-McsYL+45HCFloQd+bfRpn}|UeLC^{
zgpS=cFQ+|<)qArZy~qQUOsL^dIf^v_d=i8F`{j#FAtX>xJq+3JTqrV-!!7bL+>t8;
zl$42pFEOBCXqCNs0W|;yXUgl?N=zD9o4)?^`b6cjr#Oh*^vukFu|e2_J{L^aScz3-
z?f@uVpC^jX#%yW_`un?|<D+yTQ-Pvm2W66ATF4DyQWP&*%QbTnxNQ>5;$c+FwI@@h
zaQ0lpVx{>1ZuF)FY35u2yL#a~Onh1xia=aDAYmUr;(qzf-8<JB4#~wEDvRZKS^in?
zM(ugRo{mC1kL_#YZL#FMcR%kSM8@7+om}t9-2>v7I9t}2p@5E#zA;+N2+#xWD>yj#
zIsI+OdAT_`%=Gj?L#{9a+8Q4p2OzNIz^B>0iUg_&FW@G=F)}hj&gXE~A98pG@H4Vz
zBNG$!Yu5m}^E<Bt$$$SiWvtW&{pwX79-h30cz$OOPfw^Yg@uKl9v-I2pccr>%fr<`
zFy9>wfEu8}0ArRq8%J>aHfXGHbjuQ2TU)~gp^G#zQT^>(3zWJ^?YnsI0A$I?$Xvbb
zn~`B+X7-@jHX$KFCaqVW4S*k1uaH@|WvCvFFZ090@yUapUl5Z*0ME|k@o6B6w1nOB
z#~lqF1%N&?JFBd%O@@oB2wgGgLg3;i4VV*Pp)o^0;@Z`#-L|8EpmyCnA@kJM3RBUr
zvUW{PCC>7wwsdvvBasAH0RV0xCaJ^dxw)hE#6AOz`k}**jvknuoeg?&zIt3@B5Qan
z89DiNEGz**K^TMU*RKP;iI0n0ihhOn?s2jrJgjtDZ%PWaiHS+3il(+UQ-n;K5|Hmq
z7_QXRRHaM@TiaXj9&6^P(!d*1T3T8l33hjP1H4Ixp-W54fkgeMF=%J8%Ov)j^Ts4V
zs?#H6duONolP51ukG^JPWDS^C>u&t{1KmHm+gKJB7O<>grUZaZ`}<$rlX80Y?3uaw
ziXgrV3BpFiuI4{p0IIpsVhd<s0{b&x`WW)=9WMZXQPE5B97qTmPvn4_v3DC|L>owq
zBsZ?{{qBWS1E~k}fTuWinq|3uafDFkXE!z!;GZp>oqI57L5(o+H8nLiZ{CCkkOM2I
zCZHAAlSy&sLI)m*8zmITq@=s;q*7S}>m!936%}75Lm-@{sKnnuz|q~k>(eB19YPS8
z$?mJ|{e2>gtB_uGe<WKtI6H&JOU&o61TlBCztJ^1wCu2(kpjfA5lVBiA`dTbjMpC~
zk8WrM@r3MbZYnZFT=q>$#?gd{Bi&hB2k2ovRU>DE$->MWFYH}ob_4Dc=*<25_u&LW
z60qmX{Nct%iA)ukrhN6Ml&>HTV1V9(xGY20>;KVyu@mxAuka}+Ne5^?a;4CI-Q3=0
zU}hdzMFKg3w`C2uxw~hnd><Vhb^1FR0X-%)wc~>W6~JEu=6$a<b3oCAwP9YYnbB8X
zQ873$fO++DvLfWDTV!McFMqvlYBoEfl983Qn41{w2U!ThYsqL5A|D`gY=ST7Cs|pH
z{A|#xTADGeP<~7uR$0kE_5jp#XvxBo+BNKj;sz;GGsNHP2Sh_^N($(Rok9zuqN0GL
zAid*ZT!rTbrI4(dmyZvG#rt%0een&paZhOt_yhi4S52xmizZ}XWQ1@sV%K>7JfdD-
zpN_*<q#HO2<R!kgs5_(gr5qd_AVGp?4r0M+yc!dsJy|m?CY5sf)6DE_?FxrXMf$J8
zJ_$gFYTRg3oim)FSWr{H1UrDkHsDHnCZ?|wS7Bfv)QN82c5!v(<>9$aMAUA`?kgga
znBr__w*uG)kf$O02!LA14xp9X$HQ#41<H`o2gEdUt3H~~X)RhTIcZ}T_$jOt?$aYc
z*v8Ie<48j&JxsT;Ko4YID?6f0dH)_OSW;a0F-dSbq^al6p9A^WM^b54xokn1i}ms&
zB_Hk@8PUiZ80_zlcG4Xt2Ew#kN*pX14)vi@`l~t-8>~KvS3M{m%Yl3kALeIgfAG8y
zDY7rTb~zD6haiG>H(0KFTbIMM@bfP&E&`S3vTNqtFGV0Y(C}Q`k-zX29R7|DOiXzG
zdV34hY7dZx@$m5A`Iab`@ZQlpc#v6AQUWRsWXF;c)zqH6*Rip&s#(C~v!_>9z7MT}
z*af|$8`rKd<BGvF#mC3<hNPnXM}Lx_eg<R7C{2Txub!=xsa_9((c1bXQ-zO@Plg6h
z^P@}}WYzlmdQf5r;X1HjAc`QWn7eC-0>r3JNy7+-hu$pjqf`AVN>a+ipn_;&h>)Sb
zT>;s<j*N^fgi;t<c2xiXpkXKg5_w;rJ(Mh8Utb7qtrAOKuM-|BK=5$cuj%PutT?#2
zO96ZI1uwwu_bvbCBAHN4Ck?h@Ojb0l=rNVPIPVLljgV<?YkSHKe|2Uq0|lfu1KO+i
zAvIFJxVNNT>68Px9#oaX?RHiIED6Y?K|!*R-z+V&Wzy`NoCx1NhJb_z`$t3~ug;b$
z6|uCm1k7Kr|H|GzD?8ia)vH$y4g%0@R##UCP1C`lC_KE+eWMyw!+cO8Ac&@R%1|_?
zu%O`e>({VamI|*JG>1ITR0#<QLFs^}f-gbYgtTx3%n(R^5Tx5~zbasZ>@kpaUqJ4H
z@FIWs(mymb6#N|U5s#@cF)%=B2i(Ytsx=DKVJMv!BnW50meq|ibp95I>(fSmg0D&s
zP*08(AQmAbasC=aEO$4zBPmKxL)Tg8{PbjTKsF1Prhzsbq)Fp?sKUVHRFi}U=_6#E
zot;Bwp&7o^*8mH(v$K<e+d590Wdra#(By~Ee6QBcRm}o)U!-XT<8q3l31cX7m+drZ
z;QW`yS&}34D}et-qGNpf{{09@>{6gKLj-hVE3YZ5s!A&JIK79g`Z7P-i+YLl9OxMI
z^ne_m@AfG`uJ7^70Coz%$k;^M4Rh#qMMVX4Lkl35fBcYVh_E9gA|<t`AjhCeuO)_X
zs@8@2slpH;p8@?wNJfwvp~sn$@*0(SR##RG*<+T;s&y5F<*372Abx4X9siDU^6*4E
zNlxH~%+A^IHrwusJHT8gB_*AloS?cfKi^<Gc!@)0ql;?4M@@YjtI>JN(}az9DgS$q
zDXOg~nczE8lZ3WMB*33m7>+si0M@IR3g8U8aseJ57hpwDGXVF1G+|dhJ~X5TpFM9E
z^AyY^D^a>`nd#}08GV41y7bwi*KhZE)_XOj9XB{+0E|*l=mN$H#du~$)Mm!k(b0&m
z2$ab;a0CPh?hPBj$UuVdyM}G|>Q$033v|e!t&B>Kz`#KM`<|H@);|Bp_%~G3$wCta
zb@gay#kS8w%_j+#WQkJv!trjl401b45UoiCM1FK|&@#UbJjG$9{|QUfKHL{Xs$IE9
zozEpWk7}QX#c}D<C5Im1l~3@KVURXzjze(8ytRN8q#w7pw!TZ4f$Y)v(pEzw2D-DS
zXy*Vxg9w>Fwa-KRh$SnsMDg?RSdJFGlQcTKCxVguaCdd6tE)=^K5k_I0A}K3j<TjE
zOef?d5c3CHayO3X!ri^zn$CC$KZbMwX?l6Qd?z(jh~YMt-|N@cZjz~kFb#AABn6OQ
zuA!r^I`EZiQ{drIN63I|9>t;qm~uI!a?$t>D9u1Ofz@wKI8TA(5Oaq45F}5~u>rJ0
z(yj#5cYKUP!U4$+?HXK~2dE$TO;9NQ-Me>C@nF${F1ER~wLDQ-s?CCP{rb+{US#_`
zD3y^iY0zHr$Av%)lV)dU2WQ{_nYUQ<I;-ZlbLQ^o+RCNobKhDtMAAE+8~m841|c*&
zkBT3Av;A|9=zd%lFsVy^I6GPTvzY6r(z(GZ?leWnu3PQ{R!Xip3g_K#27fooiU~7M
zC`bb<ZO7WO=Jqtp>nqubDVI5ZbmE!|bth#m@HlJml;(*aQJ^m}$X?fK;3tgos{BOY
zz3)9_Ia5X~%NqZs2}da}bMHhjm5nBSs!-m5xxm4Gd&5>$3x`AZ9!^AHTT{aRfp-7-
zs9UwghVk``;Ic(kG@tZ3g8w@9{vYj)Nq>n2T-Z$J78i$FBydRM<(+|%Lb7uhFS7+?
zLIG-ESW9DL8UUa!!ToVq)=FAh7OTWFEZy(OF9t&-^;ctK>%1M;9a2(Ke1rU;mO*m}
zLzst0u_y#_aRAk-wHzq`wHUe7^OJT)R2=2*LmksID2qgS!$6i=AU0`aeEbCamdL#s
ztbZJ$b>iQlDF6*W94sslrcX}yryxBKr+{Vyoek*9PrjM)y=WMtu7yJs0=gsV{@L*c
zs5~D#v_V$&$Ha%V{c{1b{1r@(tk+sgs9rJ%Z_p%$<zBrvY5@cfupC}cBOqAF?q41n
zNCI`O*JsPh9a^3J^9P(PWQ2s!iCq9nNlbk3`%zc6Rw*p%AB_zO>_%A4w&^%^_+pTk
zOu(pU0OUR0o<*m^a4<wZV`ppY1p&%^#8>Nu?hYu~e&IJJHg<$G4WwIASo7crA;sG8
zD(%gM_B{ab7~>6pTspdpbI`BT?Nu0_L%u(?q%+mMXyU`2Go$c3KrOh^hvlaMuu|!J
zdwYTLXZ4tZK0KTPrBd+xWCw&SuAIcEi{s<RyqAsd4-O81(UvOi25*8E&#X}ZCHjs0
z53SO5&?7i<UY#6l0cGJj{1e1FSsV{~>91eEfd2Hg0<i@=1|{hjoM^hm<`Ek6=)*GD
zNO>X>5(dH`4WeDL<|j0G?KXEb@qR$B9}W@OGHCO|+Bc7^)<Vgz(C{v->hA}ofx>+)
zpOo8L{ecMM=H4FH-zYE8i;RitE>v{@9J9@#xl?at(ny581llL%JkJgnft2SgldW2(
zt*u%1U77>k=Bc;BrPvGK34B<Gd`6!f$i}-~mhT>KL-qQhQD_W+jneDj1>AMV3Mzx%
z&nIiH2H6-85hR+Ulbx;+qZesPyhd%G3Ez4{i~xLz;dlPA{2P+9^+Qn`&qPiO!YoA<
zl_HBF7A`Y3VvvaHY3by?I1KGVr3UT>f{-`NHj1VLF|n!Gh45r$W==E8vbkT_ehf3}
zW}u74e694tK#CA49LqNdTz>x2#%2T3wZ!AcdAu-L6Ckfk|1zNmMMN!E*GQI#Nquv~
zB(cX1EGa4sMy}hyUv5GV4;rGz!NO4G85jV}c|uLIGzKJoYC8?x@_v|~>qIQwtsu<E
zMYH)v0%ZfuNu%S<dLo_w2Qpqe7>LWhKDgV1S~kHXoG9O|!!tm_uwJG-cI00E&Dn*r
z?hOi@WdRg(RQNIX2Sx@mg4Y9%?ll0aPwAkIqujR^Pr_+_TXq^E!m7d)MlL<v*vuXT
zuYt?OZ$RrS*aq-|Qd38E&kpnQ@<jcvarQR=n>E{$$GC+R09A%v2b?_5H1qzbYQl<x
z@cYeo3;Nk8?E&a<K$J-Pf9G}`!aY5_OJL{2{1K`t9u8nLy}A;pRWwVr-TeFFKSl4M
z{Zv_5*;gQ+aeTO#XvQlflrWJ0>M(wmr*LecgZ9y*M`rb!T4vy3fQJ9zD$;=+)DRF2
z0E1h86B@?)*WhjH1n}6Q06<*iDloYw?#={EoBLq?%aDt0qFq*8fusgFHN~DMB$m(7
zT$~kf7g11Sx;>EiprGrq+26h;1*F^D&rv<@m1WH*-N2-R8V<-5x;MeFIBq2TV=wnH
zM%m~1G*ndPHa4bOjxPJw*%`62=F+|~aReRn<wT=ir4#dm2d%p|_rOTz2*OSB(03HI
z)a)YzQ5UFF!4sgDnx=nLzkmP!9$LhJFJtkc#cjVR50>6!@;s^w>ji4!DxCg)`ShuQ
z79S5U9ptlQFED;(*{~6JCJK9Z1?@5W%$7+G-oU}3<gy$NyC=0Y2W@W1ufx3nds-VT
zu&@1uIenV=5qcO!W&ywgHBH-8mFRCnl_*;N<^_$!;VRchO~Do&udWMT1Pe#yLxZMh
zdFY39uN{IW4_7VHWM&qI#)xGN<W<ti56}}i2QV)yBa=;H={H<w2{yyzfVTA6Rx5xU
z$jj4z{xlq=*|g9ldNd?R53M3W^?#&u6zYBAM@Zqq2xMGRN-EZP1LiX%I9OtDvh6=5
zgQL<U(US{$r@=I!|MWvvf#|>?W~-~Op8=2$h8UQT9#f8@dq>gH(I`6sv_A&*KvxHZ
zg|hTaPwOWuep94}ZYB<eK$-J~Zm{Gd5Nab`iBL*eymtOe3Gjy|CQ>%r0<2@oO@|H?
zB`)sAs3<9n%$yvf9fOxIA!wL$O`*2~G74xcGdwI@TwEYjFn^LsTRS{NpOgVNRBKBM
zo7E#=+fba4_cWlTbh>r9P8DUBf<vSbA1eT)Mp7uys~z$=s?gT}Wue$PhZXN#iS-1Z
zVGHiwnlr$8IIahb`MiCL0ev2)89_Qale3e<A`lfY3a{$Y;K_jn9C~nE7QePncl>cP
zRUm1Hhlk7UI2l9wTDyaU+sP&skjYVv4VG?ZQqP-C$Po>yXWqS-&2BuXYVdNP?_(`T
z;46J1BeODDT{&+K!Ur>#cDW+`$y~SsiJmve(3Xbo3;?IW_!g-*zq0b><HuJ+35Szz
zt2x}0E<YXQ8OLS1J^oYsHKko#4xmQ~_!VsbQ4n;ov054$u*#Pg7rDXf0)g}8ehe5E
zo`OkFT6!474M>I{27u)W<Teiv4>56ZXk7|}d;&^R^!?TjbGQjWzTm<V0u>%uj(kR;
zBJbV1`T%Hvz?;~k9CXnMn<=TOth!aGA_b!gc0wM0eklow4hZ%BZ_kj7r42b(JFZq<
zn8Og7H=At%&{GJyIow;le)TmpktdN`Yn6Nu6<3%lSYaw3u7-ELR?~G2xW7r(920_L
z6H{AzuBL~Q)ATsgw@<Cppf*bm`m3V-TMQ5!QQ$IBrC>LdhOA;md}Ekj``^tcdFh}b
z0iyu<Aug`U<Is+4%0Zvk2fgmjjcZ!X7juHpCp8w&<~D5b#|);FV`gEIXNijKSnJE^
zf(N+zx^n8OAeh^~ex=a_c@Css)47W2<k$b^^3Ba7=n;@8GjnhhJ@}dI?&@kaSyi6A
zMxGS*3UPss5FFQ~q?(~wgzA6RxNN-y&#Wc+&0)cDvHxz@`OhRG{ttG|yqH@XPz(Ig
zC+2QrqN$j<YMPw)Snhg_u99ZUgY2Y$yLxJx-Tmff$yF(X+4C%aC(LHtO4=;LVzZ)I
zr4L_M{_-V!EOyqMbUEz}VU-TKS#nuQlV#c$^BP5U^(WWy4EP;2t4Cz+<DJnDm=+;T
zR6h?z7b{w8>*&OXcn|rW@K=OAdujQ8O4Zsr<m)B&JGIE7CMWfF>Rac=j34Zos^S8k
zX?}mm@+rDH4y_A|N$ibPmi2_kflFJKS$(~zsVeXHQekEqicZ5vt1Aaq?UTi^wv<K_
zs=W=u&D-&*gUbhPp^o#VlUo)iTWlP0!gFU;^|kj(`b==J?-L5vp0G{T*h&p~XE1%Q
zrOtI$$%}6wbiGr`;2w+AGL9HwAR{}_(Rew|Z%LF_J!_t=?VXlQzV}^BB5g#5{DV~c
zM&bu*!ey@0Al7oy(CQ*fP27N^?Vx_n1vJSv^q+_By<+Pt21V0kbCcaN$l{Y&Ja?Jj
z3mCr^nhB`BG6V|WAPYunB&Yv&@jstBd!s6aaY)Y<L1<^!Zbrq_A4E9JvV)un&DUzW
z7moYKT)>+Av4_4|A3+hDwIMNc_E@BGNrf6M@@qh}t}kH<`)BJvvLP%U_3uJ`mmIwZ
z@V9JKEvEgRSsdp4rDjM+^A)ukbYY%ZeQU8}CVGEbiptJ$y7_<rD}~wL*+NBFHDSOx
zbENlIS3=RI=ERS~qE`mbQUc6XiM)g+8hSGmDLG?Pxp;pnuN5kv->4(J75?baF>wJ-
zx~j#=??HZM^@H9pl3Kmttd+#vmBg%(xFb5Oocz1Cf3yhiD2!$o1h_;Wt$weir|%9X
z9OmtC(6aLMb`cN87fWz)=4Q?dr?80Rr2f9|s9f7QQPWJmGGsEm_k!}|NUP?oT_bjl
zxiI(OC@imyvT87qur1h|9sBwgEn#)}`fcXVk=vAijn3bv1RUzcCk0H0P!#3qr%*CK
zJ)TR^U?b#;*Q&<uWGIv<49+NcPTIN6Oj=tzY?5(Sleam9#=oWegf#`tX|C|v#*wJO
zR0(pZJ*C*=>%(Qw22$mmEv7^#A9XSl3i0ko&>rOFJp@f4Lq5I&9JRoq!8Qk(7y56B
zLY@ik>*dkW#QEx$KQY4oDG`V|KX7k=RA9*t<%O2E>CKiv-lZ$o;-IT;X$(TA>c!#V
zaZ+H^jw0#Me~R^&`cIukAgI2=20FU{$d)%rxtRF*D~<kS;;2nq-4zr(O^|wH1p3Gz
z78v+Z$5VioRv`8Pw}yUY?fDs4)(N##l#~igds4tWH%7xov&sAys{PME?v<Xq*XQgG
zQ*&7hW&WXZ%uf|_^}wJGa0C1V)zD}JhGF;!Xo?Ux4<N_q@$x&ZiCjL<YiV!4=ig#j
zFg-nuZcPIsquZ^EtmG4X=f<1U<NfBQrUU_3b^uJUBdM>iudB-j`hE%mTfbocShH=M
znP;^w_#|opV}mvaW=BwUUEJM;w_EOYK{FY|H*&Jy{8g5;z@k83E*yE<w>X1I#ce(Q
zHYmvb{B(aLE{KQ~#FmL76ocE}XJz=quSzE9#vvEI>YNu99$pA#1IQ8h#G!2YUP14S
zd9?VBE}_iAWxp~4r8XUPm4e6b6#Aan*RLD=L*ruPtb-&k+mI><9nL`!TGz>akxk@w
zF|>K$_0@@GH)=y6EfbJS0>r{1BTK+H9xOQvu5&_^mIBDO*5k0i?6m6Q0QUs}qw25b
z=2)Ya66Ajf-5bgt{fP=kXpW?r1pt#OT#Luu{$B~*j==~R1W^Lx{`!OsI2gfE|C>R$
zPSyOIb47QzV!pbzRy)pgqir16#!ez*G5PW@@CYI=hEeT@0MriSkxDcoR^1OFAzbaU
zauYD0`OOrSwzF>{E*GKP%za+V+*YG1YWt<O_x}%BU1T-B*gv$+?1|M3mIr8`;N-x*
z=9hED>@%qQ_+lI+!8unh;vf&(m$<8L$ANDGHf8`GA0`9V*KnQn1{qIxeLWSReJUz|
z`q$HuK-PYJQV*Fm?n*d?7XWJm0=y5bH09kJrOY@OaKMJK{AVMDCZTs8EkMgv&-;`!
zmKOxmK9d&kAz)CU@HqDvh@61DETG&vKvxprn%_Vohgq*q-z@BOyRfM*UqQ3AwT1q)
zu`Jl;PvN@I&gi|N)w;HQwwhb()fL4NUh=W7>kH>9tdNqBKWES=X&t1xn17#Ouv+}w
zWymir-3M?%O-(%<2OaD6u~G$^Klr6U++l?lq=D%e<tQ-aWoHLpP3ITRAbIHUuYd(y
zZbNvi;2Y|o50f_hQYR%PHAIQ-1r8;cWn*DU&?`djZ-PM=c9>)vi|@mDN`{b?1Ga^Z
z3x?}zPATjH0iHos0s5~wh$!HCr_J9}JwgTD@j5>jj8K>N`SBFt3U?MfMqi>rx_mqd
zF0THn`ubmRxdAd=fdRrFyVE}qNH|X8F?4<8{(^X4xomJX`$5Ha?n-Y6A=c-GQp9JK
zZH2Eq7>DSLl1S{Y0qwjDnoDc5FZb+N)uc4P^{tpCJJapdkkK^hsTa!j8|UJ^J8*Qw
ze3cPkhwW|gzCyCO*&sVyS-o}C!JeQ`?BiCBnWG2dS7M@aN_KjHmrm6oq1_?(pM@s$
z?n2VqJ2vBgypg*|+w_25rCImSTV16shDt&$?@0{!PZa#>{~jJ(e}7m#z1UHzY;q&}
z>r;ap33`=@bW?V|wqb*1cLqq#5~x`X;tL(!3LW41Cm7ckDy}-5U_Y2>IOIMk%?rMC
zo8dr?WW2|ZaMXS4#j$Iio?yp5#?KHz;m{_b%l$c|-dD|oZ59Wugbw&-<7`t8Zi?-l
z+XfMm6`g#iT>k0Z)W<^D`}%Q1;;*U??ty>nNn_GH;*gWMxm(hacS?!JChn)17pgg~
z{IZD~*WNiUz9!V*Er}J}%oP;)f_Vy`=#L3k^9z@+u4#NZ`TFDJN>T=*mRxkx^YlAy
zgcT<_kEUwVBX|vBJDCtAExz9E@<_so0Skp~lUm{2ovw21>x(!g+63o>V%1otGcPkb
z*8;rOPdf2}4#el>alC@!JL%KW_HOA*N__j!C?fk}IhgJv-|Sg0Dfip;+~fJT{<*Yl
zH5Oq$dJNsqHyw+bNG~^@9OGFK7+bBN?K@Ar8}s^;i(B)jeQn${MxSFUQz5#dq+Z5y
zikIU=&3C!}XB%?NusK=c$}xJ+<>R;`k}3Ho)%LkrTOV?IHf_Inbz4s;kwk542{HAz
zXOr+3584Q{yPO#Y4|((QyC(2QHFKMuR7rox5G~;!&J?#0uzmOVWC07yAvGY*jSins
zLEYp|Z7+k@m`vOOoAt!Plo{RZ9e%pp1}2pfPU?oSJ5vQ;IBsh7;Qu`6nuu6!G`9JE
zrt#UzsU%{U>jj$Xq7AbB@Mujy`-P?N-^;2Rh5~cLk^4x;hc%*Ji3J@>-@dVzFmX!0
z9FH)ssUP+`Aus$XR<%*U{8YgBL`&Mp!z%xw{N6z8>nCl~vxZ~Me{)kyJG1LT?vy02
zcuN$t9d~ZOlbez{*bv=we%*htT@-|7Y+*7?X=bUM$IEoXDe0QC!$WtyUvo)D{4Dez
zt#r{1hLJT=Nw)u2A%+oB`IrOB=_N-8%v0T51_NxVmg`r~YJSJ@hU-*LRyx~wdDVd3
z;qdr$Co_Cv?LS@s&?TTNVg4-uXfVh+xX?EtV%GeH2aZm#BAZ>dY0N2t{s%~nd1KYk
zQ3mhZGHlmVJY5(h#B(tp%+`QD!~PEw3)BYFVv8u~R{oo#5u}h2zAVpyq1vF_3-(+t
z8|o*e>3z%9F5j;6<qU-U2zjNFA>uu5O5d^<XngyV?xDDNl$2d7>SZULw%Xv%m0OIK
z1Lt1v>*A7L$mb(z?qbr4irwI!1f*b^T)gl`9v%gbBneD1|G`s}RqoyC&mis_!iO^r
zWsKO|i-?RAl78CJG&15kT4ZMV>1LW2xEHdsnfL-{%YaLA?b?BelYd}S>IMoXQB>_Z
zVdl4K8#(hM)n4;r*6Q6)W_uulCxBI%FFH=HC>}J+`Gc)ld^&lL=_p`~5(*xT@3$`Q
zLZltc2W;_73=ApG5!~rDB6st&N7~!7-py!CfSXL+c?+sMC>}CTpBl=7*gXiXkT<$n
zN}1*s7IOA3!IH`vheHO?Gdn3Pk{g!+`1bJOLnzWl_CQu)=%2W^6fy(E3SLJ-=Mklq
zJ^1_Y7Z&6>1B;adp(z{_6BBGerHaB#Odkfo*0b1^Si2~3Oju{Deb3@eU?2`D*9W9%
z4YWLf9hU5Z+qGa*6CAP&zwh+X&B?hZ(*dyX?-o-o`6QO?0;Xs=DP%0$iw1CkSaDj%
zf!5A!1zk`e-Q1PW7rY$ThI@prbzA@hpEto!M9)ua&zot9ShNp@4MGC~17iny!K!Ky
zDk#aH;=PiY0d7I*MbaB@o@c4%XqOjw6+#CPwOa}HArG??&D{S~i@c`=E!yOQ<-0Fo
zYw^q3ENJ%Rc`cJ}x6&oTcFSI`wOzMU0JKk|&SojklLA1!fZZrS&^udN^c_*P9`-=w
zCG1$<#PpDz<*|m{N^&-fhVtQFs4Z`>ua4lul`etfwL;h%Y)MlNhB43;<N;Db+X4(B
zfLKsnI2oDulBvm<9#5bC2I&%vu=1<9n#C(%b4Km-eDx|%kzR%VHW+EZ(LP@3oGY1X
z)+S!Lp9W2Z^l(Pi>~A?a$eo>8p3bhW(D{LWh#9b=f{O-&ipibMAJ8Kx4qCcB@X^<B
zD9G^ff7)t;j$>!Xu0<0eGqSUTQxySHhQXI=*|c7;9sw*E3^jzEbI9iFrkDQn<rJ3U
z^tWN7zt!e+{TiW8v1T<&AhH;mEUuBJ83i2=ys5*5Q~4JM^KI)ZfGnWJHWIK8Y6RFy
z`nKQRy7wE;B}|$FbRDo}3}@eJM}Y&_POZ)aelD(#u^2#^c_#goE{yrsoAkw+R$SEN
zh5Gfc-Ae|^G~44ZMig2v$>3p{o125j;VSR~wgO@f%IRDF1-4uVVXLv+#zO6^Y#K^@
zXmG7M*$4CHO^`m`&Z~hHhL(nA9GUD>3Mx@B_as|<A6Dt7=hIkK)g;puiG=Teh4zS*
zE%DSc{R%(JUHn>fw>w|&)4{D<KjXi5Xl3_pqN&-`D1H(@_on$(pKWbach94pOnB+_
zXU3#}6Oyz3*$tP-+_jF-N*?y?x89ys1gClu6$P}*-s>r`3-$JzHE;HE6X?E*oh=HA
z64dJcX{cQ_C)az07rAB8mu2=sM2b=q7t8#BC{v+F%ymllgzOfjVew?JUeu@D)Ck99
zv@qYPgk_nU>)75zLN}Zrx`&Q<48N8?;b-3@H?Fwzp>+Q32U1n7=D_*@;?+%7x~4@d
zyW_1@tbUT?pZ#|>c;2%)H9laQ45sB0dh>PY)*I%W`F*5B2YwOmbW>>2%=7BNT;<k{
zdw&QXpL^ebuP5tDUMnu;Pq>3k+TY|jKD+f%tMni-lAP>d|G8R523qi&DU1~op#?EC
zZxz#Gw^=fw@4ZT1!M?sH))k*RZ4OEA-1mqhIMH>&-CAAge<#c(^MN(jfSE}3OSO!a
zNx|}2&0AhqmMB6RJTEnw;DGG06Mjc~t2MQT#7p)EQN*NAYC3B(r7Abk&neY{6+Yil
zn6#$$s_oA_-0vOmo1(3~y*1nB)_S0zTwc(`#85KfwztXYejP8Pw&w2e8-|=|9E!b2
zavrZ8-PXBSO`9z%r*GrGh$=`FIAzY{4*7QY-+tbq`)2yCRrecLWbsMZ)MS|VMihBq
zUxV_`LxpZ6|H)nyN!OLg`-H(M0lMS|T_JC0OCv<So-+FL&6?HMac6OFQfA@lm}tJT
zpYFQWNN}l0F{3Y*pg{KEUiTR1C&FvjG_Y(IOr+Gym8EL5CdS9N-D@9;mFUi?h0XtV
zUeU_n6fWU(I}<ejeh`}cl$HuRi$3ciR~omLO2!=N`Q%F#os&c6W!ib?Kfzijv`F^7
z4Mz5xSkIqz=5`K6QPO{_I?2T`P^UjPA>(KMaHnpnskOvj{t3Y$|Dag^y@h*M3b_ZW
z1#2@$LJUmUXj@#cUM6A?UgO6!<ycd`$DZ|b@|L@6E$-Q0GWqrlG}hUS;%@ckF25;$
zv#5ivPW@Re;|%sa7BUjSlE_%nTI#Tm@rj4kt({($mH9p+BqQw_<f`3+{Bv(xd23S|
zT;8v@Bwl*l#EOCWFd^hamVwDZUMG7YFK?5=)vS}DQlI?#HKjeP0d+JPul<P6TWB`3
z6t@P(O0wC<hHkjmK0P%^7jkkb3}wz*GasK`vnbNyIhX1ja6n^j`9SBrC)g6A9%d_V
zZS5y+H6I;kIP4}teWp{maceJvkD)?YTu#)$KQIt7fg7mcK#l$(AJ7d3O#x(cApg*m
z`l|5>#VlZ#AQT-?*Aw|18H9yv3krInP1oE^2MQ(l;bDg%F(eC(PvhCfzoT#A;^qM;
zfw#fF(-jBj!?i~s_yT7ctMTNIeFXi3rd@v`a&k}TI>N?5=pQlC(KU~Z@G>x%gAF}Z
zGWfe*Ie~RrdSQn81)og9#{F~Wz>Oz_6gt7M<%Lv3?=J2Ka{j#^p(axUC^x@;k0<Q4
z{|&o(NHh*3)O2593P96$_NUgu#>P1)yeOGBIMbt6>j89b!#J(}EAom2fuYY}9<*r(
z*f#K{e)yKQZ!LPYt~WU1VE<t!Sa~v@-w?m}&JaX5J$#J`R70>2!#BnpZqHku0c@}&
zj_?${?2Uu!4?~7FU8VosI=^jYVPHv)`WgoWqDbz4l7g*3Oa}jor7;Zr%a<QVISBC%
z+>?GHj*gFIX(HWr&0c`FwdCf-b5CEwB$@b0J=_K^qyA{~<m6<zJ2xlV+bzI|efd(t
znl%&6W-v5qYNLa7P3^A@<o^3U#B>d~2c1^>mtpsrUfHW;*kP9QGoS81MQPgR#+&o5
z$(UwtjrrqqLz`Y&v+xo#Gc2oQBPn96(btg-KeDMEnx@`j=n@&fiktuAn90t^!}4f0
zK5X>{-(8mRAU1mH)P^MaTaW4QO0*632LE^<H%enQNY}a%x+9peWo9P3+_3Fg>rs8+
zl2GW;weQiz%i9sYh>3KKhbCy%u=(){=Ajz4OYY^@cQO9`Py5m|_vU~8af4pT14rQX
zE|x%@UZ#gSZ!lIoNo4J{V{8?gr5OTyYds$<@4M0gL22}ccnoAL!UX07SN+Bq^OQ30
zUZwx>?A?_&Lvfa5QUMbaZNJMxuq?8o-iI4?53Vtl6`eo5w=0(Vm73Y>(>G(?ss#^H
zo6=pTx2;2>UQ)3*+hgM@(SbJzp4Yf5@De=u`BEf0gI)MQeSs!Vn1n)0-5_2*AjnlR
z<4Mw=V`aK;#NoHvf4`9&kjc-LkKlS1mcS+B@Px(B{l&PDX~Q>ioC({4^`Qt+t$X@O
zhh-SQ)%b#6W1(f`Rb)<>aV^BKwMm?N&pMVW);Ev3UAtlWGV+6LNcx|r)d#I1`wGk5
z4LGgwTpzH4IsnERJtDB?CKk5$c>V2jBUVhI<j+~s0dqE1dz!DN!;6S@e;q0FOt#pR
zZ#<jiU&n=*1F(eJ^b$>de%pqrknvxc<>V)|oP4g{p&3XUIYB1XxX=0O(eMl&{e6?J
zg&wo#FIlyH%ogscxQOA(rxw;P+C91d^_RIimNvC$;y0C#Jjo5`KCRMMU$H-vEEpWV
zpQ4ZC$otKvpi^LI9V^)@;)P)&&tfDwNx1gi{R7U5bw*0c&9y4C6FC+2tYn6J_L{Eu
zO2cVLlQssJTwHEPB;;f?)NRM{p;^ej`jPPdhcKPItlt}&PlP>bir+k0v~>6w9I)61
z@cnP6-Ttt3^{zy!{~aPjPM4EuE5V@NuhA3}=-jToxIf4(X;&Nsv2ysE#r&806yD`N
z;di-Dy!0fV<~7=<F8liL6^2jo)|5TkzDB?JYI*aUG7+XMx1M`&g}iRk$}1o7gQci`
z{>QE^*ee*sK_6&LLvk&vbnvqRZN!~Qo-y2J)AhJDy_y#*k=l+O)A0lslTemX)>l$l
zSs#Z%(1PH3i<-@qRVIapjecW?XP;ux_~i?3v1mvUXG%jqo1!FVH*SoM_}jG5okzEC
zgc#WuCZjdP^0Qf<zZST^sLvI^>NlQe6B?vO;CG2|ZccqE<RKOoUzys7TLK}@Yt~u!
z5v-}OF>B&B8PQeF$ieGIgb#)Bo$jRF-cxo)RE33Mi2qjm?r%!W`H1vZASrE9`}Odw
z&wt&PnQk1=ef&U$OZB(Ykb=j9&{&2cC?zc0k#p?qW`rnDjD7Fp#=}K_a|_Z(1SjbR
zq|||-$BvoT64dLDTDV8v7{9$lQN6-AC!(vVsj05+0?lm@{s6tZ2~dc&03~97^oUhu
z4)(sBpDYSP(pv=)my??txK>(5#+1{T73}r^bWS2NcFP}EpzhwkYub*vySEp<i^BGq
z1Q>Qsz&7@df!6`9E*_}seTsw~C>z3OTcND2>72Q`N?W=+!}xxEEOxEamncMWucH3@
zXn_&l%3;)YTND?zh>tjSUhKSt?^poGH%Rg%q@-FpI;XHr)C=~SfH0gPd}^kxJq~0;
z;I8UD3@R5NN(a;i8UWzeE(=y#ggtazQSn?LKQ+YrHwW!9`fZZ}(c6JdH1aX*_n{$-
zTL4td8fO!%K|mVd8<4OSs=%waUcQ(BGOx(pO}%rZ9_&3|kxIQa7dU;%>!T|a8`M|u
z?7x(SVOgB{@BO=dP|DQK)328xINbb+!!HM^c?MJgFu2-+Y!4!8b7Lbiz!#%e5bo6Q
z#7mfJ4(<bZk6o86Sm56!7W)62En7t3*89O7fh$HrLb8bny+Q2aQ_EB~AE^ZlhUI(9
zpaGG`D8qk}>*@Or<5X%|TH{yDqCXzM%l~s3A8KXoJGt?dxV|FO(151(2WxP2$3i_9
zdik5WD;|{hFdC}&C$*kE>-l*Ch0p&Zc&x1LssA&hyqia>xqUb%weamN=wpO)qnB|u
zJ)gpEH53UeQBhXzYb0!yS5w|Pe27kPFL3Fx>xnNefnCgJEHr!pqwN2|*IP$Lp>|>4
z(%s!5IdrO|j5JCPok~av0+OOgmxKZ$Al(AeB?wZ2N~Z`)rzjz%65pQZIiBZT-+I?O
zf1I<<at`6l-22}9x~|{8l1^AQrWLMN1|43tVe%Crg_szT*l)Q69O~iP6*h6mn6B@1
zQUOce(J0C421&#fDsepz7lDuYVRE(+KA!iVYUh&^cv%#buvdC@9%HNTUeol!J+awP
zCXq8_=P(lzH@E4zGBGKQ7>#5qnb%&r8|1*%*~I*d^~I{=PrWCX;EZhfC?X!pR4Eq2
zyOAuJ-}jhmLWomhyu1l1yn-_jZT19%`N~IWXM8^$Vf$V3Lfe%4Y4y5tN^D9!m%Vh1
zDdAwoVZ+oy*OO<pzdM-l+C%4}pPS6n7<RsKPDvTI<GT6PJ`!GXG?WZhnQ7)S>D<
z_Q4K*T`ix~dX5P9TF&ZcGg+F*!Os2i((q<!2g$G-6_x~rn?nY<x{r8;;6vY%>lH#t
zQlcBF#X)asok)^M{Q7EvO{gUP=>d+3yp`zl;|?w5ooE9)-4}cudm2oaO{u7+-GY0&
zHp3pO@Y&3VI3JcNlDTN#cx`iry;JNf81~HSVHlw?zC(!x<{Pb8ttA|)iQZhQ()l=P
zMaegxG5HH`SD?7Kl~$1C!u+3$k-X!LH9f%tzVhb!C&**Js)GTtUqsqUv9<#NdYMp%
zCoZ^6mE>F|Lxc-v5qfcLgowG8a)h0H`=*JgV|kXT9gVtrH)2ppX%VlBi_!izH$Def
z_s^ZmzJi-`Dep~{vdsfiVujn|WlV`Ede)rmN&1^UAdX`X4-9e$6$XACZ+;5n4#V$9
zUCJ0FF%wOwTnk~hy6e380(F_$CVJ!ol^RROA*s>J2%&}-A2dauRw4p#EIE`+H}s|A
z;F<d$f0z~1xkhwPdKw@4oPqBY$_`Df!@g}ScdaLC4m4R0x!2w(YVy#%`|x3JWPzWg
zf8l=YW{GHzTFmdoyT}(_bDr2if222ki29NA9#}sE?P+E{9)|?Jd_pMkQ^I=a<Fp!e
zTgBbmd-dtH-oE@ajW={|P6lWU-3_oSS2-)apc*uFDFwA7+9b=gsc7V2Z=`g&9*<*&
zrRkesxk%vgvLLHpO#Favn>kHw#W{+<oYyQ<6BX0gqj<gpIT;0S#%K6#6MK_nsrU9a
z>hc(Ig{4eIUIvqm)xQOYZFayWKe8{G-vAwMMSo%&(4Sbaq~LRafd;G;+ZtyOS9S&w
z3H%zTu5^D-gH%lwl^!@U!E!$0I9unGgv_OPjZJhRl6!kZgh+WAsgu$hY4y($F~u0V
z$9k+)+|b|yF-;N@5}8alxWa<tlg%~ucPuy?p*R4+22?z-UyLv9k|WU}_O!I=JJX<1
ztU`Pr8VDVb`YnXn#O?Y(!f|i;-T<RTu-fmpe-9(CfnEU|L6dgkQj(JQGW~jj@s2-+
zfHyt%H$$uDM7}I9#eYtJa_kK%LE4W(jkEezR<A}J6#&YW#cW@x3uOvC!U1{^mV<bB
z{&wq6ZNI!PZi;Y1f_V<+rPLG@9>IC)IvrRi_8l;ng7p04&l7OD{r)NI@@I(kpD(X;
z8B8pYgp~v1re@*q<D~>pixfW5l3?>BIYHPtgnetaxpt;M_$o|SaIzm9GH`H7NO%Dt
z3tARJY)r@=f>V#=fuo}52D%Qs9~d|VWp7<%?Y_31UFwi5^1o$_yda@!+7-T$ps=tJ
zA2rw-n-3<<@n-VQRPsjxfja=QCom;=!q6sGUc6()(+!>d{WGxgLttIz#O)Wl9r*6E
zbffzLChI(28vJLS@6fAquj${j^#A-W3>ONF2k*~+_dz>CA8vgT1EV~sy5O87ZBRLl
z|67Ng+}zNkT>=i@S&v@yfKM#c?8}O|b0X{5%6;#Deq3y&SB7Th=G(8oy@Hori|Z+9
z$!jYsBn>L5{1AF<`?$gxhK7yM8H$qQLl)8lyiE?ZS74MSE$sttWhk4U;4M&`Hs`;V
z+4AGHfS8zGp?=T1cTh~=9g^{|z1{t_2lu17|6LVs=<4g=s_l4C4n+qA$s?kWtM${a
z(isCNywDE#C4df*O<n_rWiTK?lsm^Z6JCOt`1l{bV<PVG#xOvt|A#6?d&8sI0t{^k
z#LHNHXl<d!D*9~E>p-;CsO$igd;k?h%x$NBoJlBy%n{oAJLFn#2FWgXe0})mJCs;Z
zaF0AHg|&7r%w5D*T3;|&{O)r<h$-}+4~V*m-(oZ`<hX=2K``W>0wZKU&;Uw(nqfkI
z)Lv?Z4(K0zldbTAXcF|qKk#fTxxg-Z9X}0{1ykQ1K*k9DozQogs16%+!X+D0_7FIY
ziZQ8}gtiuCX!zc)29P#>&@jVCxx=QauI?Uutie8yKjhjt1F2Y0S#RCCmG$uV1~_X0
zVhaB!c)8IwW3U21%O%Lim#A5J#?-$Hzs1A7q-=OX)>@;9;OT8*Zscmt;voSpVwqBe
z1{tNuh7^8H&EZmr6pCzD`}9Bq<(Rw^c`fs0c+5z(AxiRoWHn*#NVWx;`y>2_`6De)
z{_!oMw^)aqG;5_*b%pvj@8C#SSSfM2F{JWs=2$_eHBDZSS8CW%8Lu^Iko#07_e)Mh
z3@zQV?;p%z)5E+Gtlmuy6%s>3^BLvuzr%CXxs=OP(s+v=4YkXeX@$p|X5`=v@!9F?
zRniSyk4(oZSJQ4njo^PBE6vR^sn8tftJGz}I9(JryLSzfMmyp9_&UoJ_wK7ZviMl(
z={e!9+PhKe+~uC!_Xbv&lvHXc<Sg7UTp}~xO6V_g$}e5LIS?*vddCehdH$1{Myj6l
z$vjqX^>mI?Ba>U^sMu6WR(*`-u2_AQFyAM#9lscDydI&r`CkUb98X=oG3PZP5E-U~
zAZuG7j<L#FOVVcV=f1)ky@2f%c43Yf|K;VTaa?zS3H1*8ypiCYN12+m^qRR(Vrt%6
zqKK!qLtArAN=ym9?BnKSsWXfVCPeHU;+GR3mkEd0uy*v*ln*=*pHFNG*n`748#3ZC
z1Gvd>>2czU^^?`ghVKdTrM}G(uv>haA?Jio6S$x8z$WGO$M0?^>K2_LJP&p1t>OSm
zwxQMNkk6c4H&C+@1P<9e_nuDUQ5oO|?;^=tSvW!;X(VXnBQ=i)M<<LgZMzGtn%Uf(
zy>_<4@Hlh2E{ZVxvAkg)*15FgwaPddlMYFiuS5N*M98Rm9L*xq;GVEbODWg)0o}7H
zhWDqP`_(jaA8`-%IE+2XPwaJkR9#hV*lFi{uCR9BDwNsTF?+*IA@e4q4D&FN7iClU
zpCt3n+a68~{mN|-JBxdyT57%C?*@!{6WBKutgXf=7Mqr7JSB*6@e4E?=6B=*r<a8n
z<q!UZa&`p_8mrlyt|=_Uvbv`ekq&i5>VG^LGVar^^)7#jB9dQ;RXoBSdZEy%-gDH;
zq)g-4xYKci0r%&(9SsxKW{DR2?}t>VodK0W#>LZ@_C9TmKOgtmTp`kG`?8}o>&dEp
zGaom&!?w-V<{okLc7nNb(Vm=C{bFUR%#SR!_{nHZr_RZN_<Ylko6D)1&Bn#V-175;
z56I+3`70_a_S<knJ49i|1z3O`E$NIq;GKtr!~>w_be-!W@zEwy2wf<1qJxtV*ytKt
zT3Q18@*#v4!h%lE#tn4foPxs<jx`(T3M9qg+77A$#LA!pK|4Y~HK^ZV!h>RsUp4{p
zo`Zk~jaPv7`^AkcLHchg6UGzXw08jUkM7T_5|^ZBw8v-LV17UP6?h41)HXN;zP)Mz
zqQiH{AHk1QIN|(YJvS082Wgp^H@qP51vvmpB=DKqcE)7YavjhA<bQE1w(f(}<j*nL
z+rRfWU<L)c#tax`pr5EqN=}9WTC-a%<Z8*-6lNVINgrwa9p<oyYKh|eh8zdBfldNC
z*hr-WM8JT9BLnC{kouI!!7<wYds84C9Yx-M??ooJbG7kc`%B9d`aS{ojxnbQfZM@|
z79R97h{kJzbzUb^MujcRFZy!kpjKrV`CbPe+wffQJ^|E$*SqoGe!u+puOjg)#aY4Y
zwXFNv_axAC7trMt;hF%3rn<ViVZ1Z=>mDfseCTGwnZ)h+BYu|lhh)X2r5m?|+9{i5
z$aWwatyk=Oi<tJ{;Na-%%$IFzkqF4P{M*(wBcCj|&sTEp2fTr_>s$%k8Q$1NfNM5r
ze?$#Z$Y5vM7ds%ulaoV20?J&mT_p&zh?aIOst<bty?tsRYK@jvv%xMKZ3z4qi{Gg`
z`_IVUSe=6j)asUDa=ea*^50U-;Abap3LP&DJ(oTGi?`!qqoZ>}*vf%ssk2}#f?Zh)
z(e`ggqn1P#nRtF5pn3bVrg;8~QUER^Xu<%I7t|O(Ky>^mfO0cnK5cBs@%LrgPX}t)
zi_0ExO=<b^b@%<;$*RvoBQ`P2uU<d`Nd}sn_sYrOFL+~vj<laPV$5TF9=rGVCsRs1
zTY~pXQHWxZFmpOYAEDf7830gc-D`CYz#(n|L%<+TgHYm}F|Kv<|IyWBsJu)(_#PDc
zCD$cWcDq$VULGt_GjnG~`+U1-DG#ojVTmAyxkxgmJBrf(Xg`05?1NxvBPe<CG`N@;
zufT-$lv@j*15ztMoAfHiZTj*9va<>sAMFPx0*Ov1ZfyK=L~IF@(QqG->Sfv4a?yA)
zoD>!nkUDgBCsQNJE36O}Z9h>>Z!l?WlO#&ihs#R&Ue@R>ki8WUqY?LWQbyKkkH7xN
z^pWdiaz)vjsEpyU@8#SB`C>u3O(#A3L_@wEWh>nsJQaRh@mngta4_~tCUz7wGPPC0
z^@utb4h{6~gwm*WWmSyY_|^`FFty8nQ4b%$O}$s1l?3fp0Z-SPYXl?Cdh)aPCyY}0
z$k^gz-VrJIFLab=ZvOQGyfx)5!~1<;Pf<Xhe=*0eK9kTO(5{zpT=V(yByG#O{vC<&
zjp&d+=^xU#-K?)BH_ual%65HJe>t~|H<S|DM`AFLm#n`kR?moBAMxKQo;IF4Ck?n6
z!X|5Zi4ynds-8SeQZKLW6IziorSV*@lDoHJf@AVD@#i0Nh{^;e>x^H$TlB6g33YZL
z)GB@Jp*ACpHCrW}RP{X`3ulkuxns$b%?qvG;!=ef+1~X_PFNJ!##)BAvZ?IDF4rbM
zuyeYDOMwykW3OI^p@|dgryR!Jc+}T^;p)Zm13stw<hb0T-JbkmCCOK%Y03;}^(~v+
zzx$bv#bu44x>b|)7l`AEk(K4Soj>l7J-<r6Nk+N8*SO;BQ=NWh>*QM4IpA>b@zeIR
zuHh6@&AVp07}W~|Auwi7U8@OT?_Qx4y^g@(ZQ&Lj-eX^Or&&~vQ+|Ilt-h|au&K{s
z6pMQAu)U#}IQEAI#o$)yj^Oh=gk!9TQegd5iOr3Y>PJ`xk&Y^9EO*+3%_u&3j(bZF
zJ~h7?G@acU*g0v{o?ZFLCPfeLrlS7~0yB?a{)Rs&cD@=Ztdk8!3@?^VGDwS^y2`3c
zBh@c`lIO&7V<akz5hFyt`b;?XT|k;Vr9X{Fnz?m#rvuYv`cN`>dWde}P)>Nq{IJhY
zFTd2)!^IK9;DGVd$E|*{rBCr)KPBs$-m7$8s!@@!v6t-#{7Co7Q@Us0RdIz)l-X?^
zb520(lXk%v!e4-t*RFQDyONMGlT<*CEt9e#+@7m5aM?w0?$Us3Xh})<YMtQYE4HdV
z)#(>S#(#(Vxnh)S1*+87U`S=yq+e%nqqdX@r2RpweS=&vvn=e2LGA@L)8`#js$J^|
zQeBT&g+qm&ZXcg`5p5HZr9|9ZBr^`YKK8s+PP7S2>-pThC!*H_ulutCsU`Cm3v15Y
zm!^}jHR?`k--MEeM)UwK+Y8`@lmb?W7W+AoL+!My+guS1VGlU*6d*?qZN)>dgS4N1
zcL(;&r_Y~XgI9F!^oMV*u6pHEJ4Cw|ZU8<~076v?;Ishm3D{J@2fqjaK9K!^eFT*f
z?67D=zGCVRP=Mg@yA071I1pRF%ZbP8X9H>xpc$O&Srs1!!Vv=w8E^ueuZRRqZ@*%2
zh1<SJU48v27#QZyXFh#W$6r{8|L4k&?>W7PMg^SQ3ItA@h2qbC3A91CJ)oDxw-s7B
zIB<tx@xtm*HrqpfY3W1oGcLB@FQ$)s2f20VUTEp)D&d+wkS=BU37B#Qy1EceX#^b&
z0LYM2&$VSud8szXZ2?_mTf&p~c46ePJx^0pd0#6h?EXEh*^SxA6pn3td=9P8_EI7J
zH#ITAPaQ*XQMEry{txIrml)$%eij!ML068Bz0E=23znff(&i9J)7KvbZX%Esl`F%+
z?*csfImq$U05KC(KS^n6!Vnu#dg!Sg246HouM3SM2}%u*3a%Vt(CR+`p9l0Com4ZQ
zKcm@CXEoUWTsxYdJz2az4;>iTMZVI2A$K3l4)?RHg;PZ=UrU~}oC+tZbN!e9Y1McI
z5@_(a|MWi{zk({~6Er_AuN(LoP?&d8Y1<&@p1P;m?EiCB{&&my4{wjZw;S^17%Z}#
z&@M2GW@Oyo-^$Z=a&h^lK=pURf$vEJLxc`HxS+tL=?!0rQCWhN|L@s<JALxy8XWin
z8c^4+Ur(?W<HjZXM|$d`AvnWjRSLj^&YHAx>i%*c#Y+~_UD=txLkK1E0-~J@isX=M
zMygv{T7v({F91fK?52N*v-lwvH=+M$7tI&|Ln!z)7x`g&OB#7mM&|XDcM;<k6m|1F
zZh`D8t-MY)eCU@B^l$q9Ds5T|=<^yROnsN$fg8!R2VzN+Vo5HNXID?m{&H)3_3Wso
zN<An+X3X>r?bO5)s--1&e_`4zC_7p*QP>o{GZ1rnj(Oet8o$A~KSD0pais9>t#M(!
z57R&A6P*R*Hg)pDE-P+1hWVThtKt3ZuYSsdAjXwK6~yM8^Q<e~rAs58XK1$2>`A7m
z9(I{j%Sv0?BV>PmO>%2hOu>#YEi5KOHKXLXVY#)WNt>k2vo>Jdc|AvuNLWAN(UUzQ
zCAUWd7>X?=j`xs;X52KB4)pZ}^y^RbKO=j_Z_Y399FZdyCD%$yoP(1c<C6D@v3|as
z;f)fWc3sR}J{2b$LHc5Hpy#wXtgEzN4OkD|E?GENUE4;K<rq*I5SMrQoa;7uF_V@=
zlG!^y&5A)+%{rxLhXLBCPs%h|ayS>&-PlxKbD;*T6gTibax)$?S@#XT$X~zPl^ZcY
zL}zj_8pAivp*CYYC5BMtE)8+ifTMTqWQyDqvb(pQCQX=<8fv6zU<y*(t<zUOxyffY
zOs8@o41}$43mi*bLQ%uG%<BQ1smKO?{;rbasYX}TT0OX%a(tU!LJG}u@_R+8c3GWl
zI4(9nrA%9W^GsX>$MgsXpZ-lzM2f9;gZaEZw)yRoE&Z@&qHp7_lT=9TNhvJzsMiir
zgW4*a-9{tarPyY^L_4;xXmvPIuW$`QIi5$f*#x$bDACi$G0&D6j_ZqEk;>;a;$I1*
zz-{04PD!v7G#@^`_2cmEcuDD<_Sk_J*ca{XleU#f`tP-o>>4?5vOl76JrJ%46MnvU
zvDDEM^#5tThB$XlW}+F|vFSY~H!hPtBeN{iF4al9kfZS(l_th#40(x4gx0f?EN*fN
zDBNZyvsq39mU6nVME@m94Khc^;DOH0#$!Lx1d-+dhvv6N?dd<^q|ZDea;+qriJo;;
zSvgBPx%f%*IERbrrl2;eHrK8r$1zMUkay*Uy?{hEW8k&5r9rwN-$?o2$Q>3tKJ$cq
z#vN7vi;rz_s63@jgpGn!up}$uAC=nOO#9Wk8iMCc0i9X%3po<==(O+3a-x?**h#h8
z$o6d99G$7sKDW8nl&sEFUo1U6?G415sIET#Y&x_R`Rc&~!pS&-U9%8&^>#Q6g0Bjv
z2ElA?fgf#S0&YR>#3E+oe-CsEFLl{74MwFz*5R@3fqyTw<k$?#J50wN%V=<(h{(1|
z2b@a;WA6@|<^P_-#LQW|xHFi`gy`ca)Iyjy>;$sLKP-2lK{y?%Yu_(b`TJD%K6?^4
zQzBv12^fUjH^K`3d&>%vxc_KdxYQ>k|JA$6NWpXfk5v6@`7LdgkN<fB{8++4I~+d$
zem#6ooJV+m{~n3h&6sb^*DFzoa%aQ|h6v3cts!6YO+P98$Qd;iy}~%cdi_DfxSrnE
zPwL@T6*-+NwFV=@TSc4$*p)Sks2}z{p(xah1zdqcO7uuv%5r-KuE&P;E2#4mz7@%*
z7FREIbX;cH{gX=*j(LV}Kdhq5A&S++EtMr*GW$JJ3)4bV8rhPTzf>yfY&dM{AU))j
zSEMq2F^*7XZ)L;`!4n@vGhyo;a(k=XTRWVHId6<lCG};6un)ltYdw;|?9TKZJY=5!
zJ3dEL@9&3sufwe;RFDGB4$^F<kyL`EcOpV$q{y&#s*tM%d3`KBuW>n2Qz+DWhWSRN
zym&&w+j4>pi4J5xzm3ov`BVB_jw3V1y!YCvCqGebP6T1<r3*K{ErgSHkSDyLN4!hV
zH!XgPm3ECuC9Ri>Tfalz#$G8)iutjk9$uVwD~|JE6n|dc^rgo!(^FlwLZqptxq8we
zUls?NQV2N;C@n|((mN3Dj5M01vEE5HBr(dLYO*Wn7<I8bbcg!4v18YcVX;h=JZ~`x
z|KLY%IAG@XNP{;xgtU*1;lV{0(ulW<j~;FPreM*w#-tHu6TIcaaPPx{j!m=bSdg}H
z{ceasq!PAtz|#`G#yb7nu^9Pxys{MRuhdhQbXmMbXeh+-XlA=AVlHP1t%v{kY4wwQ
zaXm!}H9p;s>MqGe<T2}<%NvrNU6<&1!7!QPee(+k*U>v_g!5*mB`qek{?0=6YwQv3
z7NVCcAB(<_B*_R_@qXw}6^Cn@P=AitHIB{MHf1B;Eq*eGXcv55;k>YzX6T3Jh2?!n
zi?WcoR<G@uQ9t&ST)$Pi`<m#{)IEPvP`tSMWMGT4$#I!HsybqU6>;o*#kTHAjF-{+
z{IT-gkks!Ho~4F%?b^Jg%>+vwZ=@TJzW5jr(wv_iGSisaUPqZkcIKhHSXI|n35I*=
z4QXg>2W%v=3uea;=l6rd1KXF(n^g%4AG0|0hO27?kF>gs6CkK-JWzJsp<Ykpu9ZX?
zg=G4$b^j`$7A@+*dAC!TQ5@!V>+%+6px|-QyW)QNsV=*zzMIz%1nF;0c-uT;+q?Yf
z*#}?AddAi#S123&6q;h!;x`=ii?1`8acS;iztxlI?b4*-cMoYRVXrDCi}btuyTc}d
zZ8B%v&%}%>Z^4V`Tvt+=s4P+&gALJk1uqtN?)Fk$;&g$6ib}?XY(hKA=i;|3s;G7g
zGlnk5GQrhW$8>$~be!7TYFq@_=Rd?(5-fDk>ZzUF`iCq}@oI1{Xd5KQ@cI9H!3+U2
z%)hcReDYsi_@8JC2Y~T~<E5l5fQ9{j`4Y5fH;^ENQ_KF8)7e1S|J;4$=L37Pf4&wm
z-!bd4K+NRiBp6h)WPRhw#o>M(boMhFYx+0LsX@jtO?p2LXglx4`U|Y{ElP;+4C?gs
z^w)#aUTB6AYy;CO&23|~#{5?`zPbZi#Mqdu_&QurnVyMQ|M>X}vd6_Ej=x_H>hdY$
z`vdGa3&!GKC&(EXO!*(?UHSW)sk3=O6bz!q7ZnuRU|a@|KbY!4A$Z4bCZL7`pHdMh
zG8INM4}QdQ02NC}sA8%|z{TwK(7(5<QS+0B=hw*Osflr|?|-ic&J{BpzNB!rVrCD~
zv3_%FY>Dmv=alqJ32hH<NBV6PrUFPAAg8~^vd{M6cFgAL1=fTkMXO3*Kz&I`N#*T>
zW1KkV-;<sFizf`Z=3s;ml$D@AGjjn?6+zvArUbA?Abz<yJHtg)JYxXN+}3rDdf>(F
z?T5DI48$d%k2=>*1F;@F#X&G@2R!KYT;2U^?yo4Jt=I<U7SP|-3-tk^WFW_yF!Q~w
zn{9$D;Z7m4I6jwCfTZoy5%xV)Q=l^<FFA3VE==_r_Sq(X(s9Y%0CsLwl7wDkfexD_
zZKMi&K|!ZTSjlCB?VQEexz2j5R$ijmQh%`hICGGsG|$X!JRL~yP}?hPGirvb5}azr
zB`kgsx%pjNBbHmS8?K%drJQ*_WfgbXx*Lmgn!8JCQId{HCG^f=w>0@%eXsJ%k~xq`
zL~orhUY6V6d#0f~`(rP5Q)4*v_Lke-C?xJ-x0-*+Wqlm!1TEZbFEU@j6x!ZDgkPDm
zi7OhLLKN@eGTe5{UYd|DQ4+@b<5Dg<$x!~qgJ1%+6D+Et)Q_*U{=|at!9LEsFL%I-
z>0}?*C^v~Vy>cWIqO_#JV8Mak2jihxo?bACn!wE_s=SW08`^wQ;uLvberVl#_R*9z
zqvU{*_QJsXt{ejY+LHFOM_0qea6d0nX%<r`ziYu1%j0>P-%&VMb6L*xUH`G3_{LNG
z$m4{7j&&5GV9*SKa>hUAyCP>~uo?baszaP_HIjd6?<+Dq-P_>9*P`5s5P=tG%7|OZ
zhA6(mVVqKqXmiT<>9zH7*e>=}FO?DVPv5-_x?QlHm%($O;iyMLAoP2_^u=%W!^lDQ
zum^iPhan+hy-d#;(~^~Xrg}LVCY+yB<6;q8lleB=O&bd;{^=gZ)gCL$lM(2MilQ#Y
zw`mnlm)}zR&}L5<az63Cs%?XMuJ+a?-;pS5$L!Bi2igu!30BzO>@jACF@tlBKB(|x
z5*fS1s*UH(;N5h0+FH(fpS1Q?i$Nnm@9fn=hF%B108N0j&n%*CmCjHpQRkzmu18(X
zshXXfqBYy+6OTNjm}wcRvT*P64&gSMAIehWS9pTAF@^Qy39lT_+B{0$r#8VxxNPNV
z^$xxrpTAi;_4cepuY>#;i{l9cGI1@qD%t^KZZR}mOZY%P*MNZ2pj|M6us1!wBTL<b
z>dWX>sLH3$oAypNRUuNSHOX4xs3Vp(^Gx3m|A6|Z)+-t55j{7hW}<n-Z>u6~dVc!n
zehkElF`Uw)uw%33;$n9;E;fwO_cQq&`Xo=arDrqTTa|-GCs@L}>QbCUSI*3X`Da5q
zcbQ&r+FJBKk5O%s6vM%sVWaOPmKKxcNQnQXi(f@{$xiY#GN^Cb>jP57OwLuG`+$6{
zIsa|ai5D`27WYV(8^4~?V)L$=#Ql3WGsB(wco{h;%4v4G;x69YRPkbZBJe_&Z-4k2
zng5%w=-C6fT-T+8?Cn=TJ5K<txk0N{<%F|5P-lSQws7=kWv^<e@c$tq-tm3KxFf%V
zr5qU88dvQ+0n~Wlf7&pG|2_3b3D5@(oTQh)=9(qvH{)DC_*`rWWJ=)If!!1hQh*(K
zJ-4QzVTVv?1Stz+*0fvW+UhE+tdAfM&nj8aaTg?apv!l1+JN0{jBxy#pbyqg8{Ly5
zrLd6yX{_Q^d^_}>rUvHbe?W7fK%xOfC`8LZJ49zei;PyTfxa6O&5^~uy}dda(%;i=
zXAzwLJ}oWI0t#GgT%0`cA9fb*wpc;{0|JJCeS%@{A++Q$cL8Tq+mFeK3xh9|mSEC=
z<_`xLqp!VPm0Ft$Y=5i4<Nt?!z`Fymaf_9(Vg!wVOizb8R8w1PTyEkqcH<IB)I{jp
zp@)YOkzLjIHb%4dN1W^3W}BXnd%~zWJp1dFg?6XLneQ-8VGjdz*8fGanBxbJ750CS
z!)R^>xFsw}(2js__bU%d_5PL*DOlkLmbH=CkoI2#?pF6JPHTPd-1(07sR4{+b#1L3
z@YWA*&#!dCu@AA~BtUp8o-B~bzi+=i#M(ZmgYQ2djQ4t=6@r|<eUl)kbuXPmR`xy&
zCSYksGk$C(H_Q_7VKIk1SUeT7E2pGp?{<NO;BWc1kbQo=2*&dGAyq*5a+5&Y?e_Np
zEVmEwoH%;1Mf8FdqY4>-No+qnY5`6n*c%So-(#tHdHoc5xJ!iWV>>@q%OCla#A$E8
z!}UcY>9v2B7{@aFf2eyWzvW*P6%}PkJ|G!=k6}fQT|9PWr)Zy1X?;Y(U4#t)D;qa>
zQjtk&Css0lM?B*6kB{EENTvgp|1Ov!zy=<c2(P&J{YQ<{u7Dt8Mw=pjf+@M69al#~
zqj{q!1CpqK*hMo)gw5*IK?JcJqUnbBFSt1#Ge|rWG#%~YB*kleoWuLj(J8p`Au*G5
zd93R~dzxD3Mz;t^Gr;?2^)nErIJrpj_pL*REJX<e2qiBD90wzAja109ok+zn#gDM<
zq8;W)Amv{PIy-@vg%vhCC^UHQ@QH}<hEY>ft8+comI#F46g&&^WAIZ^BJaugZRCt?
zJdUPlw=-5oQMYo}H8nkVDOigl+X-PG9=qT8sy*<oOlAoC{_;lDgF$HG4&koin^{~@
z5l6mw5YRFh@z1BY&%Os{X-Iqxb#<_#N34&61BQWx<;&=34d@kR8yDt?j?EWgJP7os
zmcjn*7m9$qgxkZpnUB=yuS^0khdb1gRPn#z0oEdLxKGFwvEIY*PLNhh$Mf)4CFSFn
zl%Ui%{p$V^xi-p#TG^sJp-~lbFXCL+$wBgaD{12Yu-1GWLY?yX3l`PX!nUl^u|Ra@
zbLfh$6CNtRDCk^dy{5w6E#7j1>aOKUu8~Gi<}H=%;7OtSxOP(GFArSN`xfB+hls0I
zBFCnH`A6&JIo!;Nk{mS!4rP_(niRNFT^!6xCr-1U(-Vu9AJ3Kz%jnL~RSr45b9VU&
zLx9xt3PTf9bM^uX3`E|=x1IF%z~sJAF#CeEr|_w>XjVOInUT`B8b3!ZQ;qOT7cTLa
zriixb5tiuUzci75($AV_ggm0En<tN>bhu%`HBQdq9Yq|ad%2IygJ4**0F#-LgKDjr
ze1s97{u-BZs`f`2zDO-Oi_>5~y<NRs(JyU38BJOJ)cDAp!m0CIENY?&<3>sDI8o>I
zdlDSU5gUY9-3WieKwEfOr{~fEIg``wynkG|De7e3pSAE#=6<_Yc{)R0GA-Uc2^q|y
zUzfPW9ay`qGzI;hMhaU`Ng>uP<FH~{0#ESNPDn33=h5bt8&~594ZdtJr%?X>-4m2#
z-6M%F3U^USR1y3_tY=Yfy51vN$aIdrlmL46(MiF<C3`QUiL*%m<_w_*{Z(vvuItQV
z=`rpJm!it{s)BWW?Z=znR-pKhu4yqBI@T}=m^{LXUro*|TqLr-y{u1*QreNuPLR|7
zke*}hyh4uPi3&Z%d%iexY9o48$5q<b*q&as;o_`(mZ-$@n;fEo^iN~;IScCZ0^~Xl
zZ%l4#<Z}vR`f&QPW4<apT8~%DEC`8V$agR3<W*Pkf0vf~(wS+CM+WDyyXq~>AqVNs
z3z;R=2DyevX>M~8<a?@IgaEOHsvI%Zc8&HxBh9e~k2Tv1*Kf=cvsZiGiyuF>^YSZE
z*9i_Ep~s;ylI(1={vb{!@z(9Ql1kKvk$WcO07H)rD^So*H{m*F!r%hi1q+O-wCzDJ
zo-R9g&j3?^S_E`CV6AmmSq{;Av(Pv{yLHs@gYA8he-xjx(CY`osojoe!yAXGS2FHZ
zQLzYP@iw)Fl(1V594ANXb+o<jMSf)NQIsw*6qQ=Wl)QbjEAtBTq<(&0VvOCAcjm7g
zs(sDl9?k^3#Sm|s<wV(%sN_(88Jz1c_?=Ai0=C@f6<A9MMr?M{WK3MQTS*-ltesCV
zJS@0Xm3o`;j(gkr%QFHQ)|k@takDi>NrqY6FMLjaL8!O9|7hly8fKf(@Zd<$xS-=w
zo#?f8A&j9NhF%G4mSMG0d;93#WOB}=_pjji2L0R8KEd1^=Ks)s$-Y7Bs-vTxuwAbW
z&h{_}1lrI6{u8#1JZwJ)ll1q)3)vYNS`rX&WF^~qb0Ns=uEsFl2rRGEtZ19ReXV#5
z%>&##_)TPg^}nO5M3>l(W0Dhqv74-uHHhptNu^sE8?W8HjJq<^eZ~$OnUSgMEp`9J
zGjxpsKMeE%v`YyRzS|(-qIviwHtgg%_5>WN`5w?*Ld!D)5D5soJUm%q^L6d}?qe?a
z42q4`)<;7E*7-k=pbKk_wPu!-lx#(dGa`zA73*d3NJU#9EqJE~7n@g1maSfxleL1C
zd!SgrY7sZUK!97^8Wt@C1O)I=!_5M{W)3V45CrPV)<Umtp{1sVT~~+jvwZ>MHWrzj
zC~PfF(X_8OOJGxMgQ^Hy3&56ezL(n0JgaS)^?x+Z%ES+nX*jqzIrGMdPk3gb3D%ad
zko~{uFm}KI<LBc8vdIiAD}kjJAjAxdC1_3@=<L0+MAv9AE*y4|DYhmvy1m{gIyrIr
zUysesiRAFp?+?%FjSovoPe*5zfcGB+K0{zqfo~1i-{8oEMseulN2)ip!u<SB5V=CT
zyudvHWYpnLpZM@YI&2`J`5dkYu+am2i<eATn)|`A$iAa^{uA;MFPf4W!QzGAf%VUr
zz!PZF78t$cXHO*>TYj!Z?CrZOdpmw<Yc&6l+yd94Liti4^!8_5s$3#lm3<1E%(AoR
zlDb`j1#DI=9t<n4!X3s9ya;c~I_$(LJlk~Q{&gs3e)?pB5Z?dHpXDaWh}XxnoQ?-g
zwkqstgrXK;DM$VLC0X3x$s`wZ(tG8(eJl7=rwHI;A%QM-?bR;tCl0LW<NC7yO)NR=
zV3Sx_B8W`)TA_V+k{JkP$HIcnJt`ssmtYCJp<G+l&;DM%?&KyO>;|27fnkGy1I!nI
z{-|Fcg(bAwbCh#Q)*cttt%Dnfk7VIJ3JGFp?kNg?_L?1%wvatkw4O`9s#1Ws8a_tG
zuaC(;VAUs>8c@1}J+Hu4NPQMRPvoo|a(nd{^U1JdY<5hTqmTejs@y}rr3dA&pAoiu
z;?q<p__eAfQzGvD!bS*Ic;rzhX`j>$IlKJHmV0dGR~?2R3`61u#UWn07InIY#ee!T
zY~^oTTQcZyD*6QDTAkD|#VY3y)vQig&l2V=<-0Q`e$n{84<FaW5c;x5#K=Tu5pp0x
zWAM{LV;U~hy-HSMn-CYBU<y%XGMne;&$s0uV>8NN`l|Hd4IL8>7BzAG_U&iaQEq>|
z0Hl|Q9RrgsP`9rUwKChQGD4LMj!eEBmTN=s?V*XyBS(i3$MxMm3eFj!sP#Hg8B*Ty
zqT~?s$9nHk$>Y<d&!6JPJ6DBLSt!tFKEFBKfWoxods$aKNj&_F@$+JqJ53I<8QaXb
zk3;8uGcCf6t&FD7F?s%KDgo})kON61o?VRToW{BAQbw()iCk;DJc-^tOT@k0f=M34
zMB;_jY0HNrg$9M9QO;8RA3h+W1cY3W9SXbaCNb8Jay>4~wIWE$f{j;vVl)2G2^^=|
z8;FdnA@TLz+Hok+%W_7_XedYiA(Jg4M;6$?JVTmIVM0B;2h)9bWWz*IRoTa$*!Ig>
zmGYb@X;GC`7j2?wZ~XPJ2|*-A^h%sIVs!B)`w0f$x{a`>KL<}z+(<c!>LW2z2ewhG
zfvYs#6y{F}w%AwIeyRq$jXGs2IKK)E`Zz3v;zXrJ)!rstIeqB(s%Vnc;Ti=EE>^;c
z!;@0?Q@KKc+CXy4cTt{*@+?WXE^#1}M~$9gwkxf~R!N88kZ}mJMQz=CKA1kNq5kx$
zA%dScNqfK=8|T5AK&vXh)w=`DPoyZ<p3A1V@r%1dnODRqT$ea*-ig4Oq$V?ecO<p=
zpgj*me2AVPHH4$Nq!y8uWEs*&hnzp;(UGC4rYJ<A%sbBIHgDC-Tc+|pwl&wl7hJPl
z_`Z`CJY(t-DK++?(<y|ZVVga8zPe@RPE_o@sLwZ|f{l(XynchR-{rucY%9Y|MV`hD
z<C%5a<CZs~755nFsoUBm>#nx`TFga-zIpKA8zU=67*WGZ_1Q#98y5;T#x@ov&YN~p
zntdljp`s~2`oiShIA_|^&2q=d8$uZJySt_oh^R^Ov@XWoHeof<G5hqRUlAo)gTtX@
zc|H6~HufDScAZ$fqM(|F)98=y_;w`bzAWoUB}MaBT`RRa*}WdUj97#m4YZhRTRwka
zGe|WwN#U57{Y$%YVC@b|1Sb>pkxKOx|8cgr=j-xmXDhH|!RoC~z=#I8a@jvcCh=p~
z)2EafBxj7;K^@xYy*jkm$5=7{F$~MKgWqW(oQ^f<WEW76Up+qxLBGT(b_;;?@1gBF
zg4#!g1gxZeMMIflC#U*c$p1u@R|M!OCUl3flwH>M(H6aOv;%t+8mm~~dQMs0zXNO!
zaB?qiz;*yd#UR+?dg?4167?4AB*z2JI-)oFHRf<?6KgzhA^oRyA*Mb(EIT-x*9rPP
z2ED;ASd_*r=Lbs|-@SY1aQk+pNi`?%A**g&dvyg}chEX>AFPcFu<U|=ehoM;Y^%lp
z=j46$@V`nsAnP5Dr?&CMO+a@hN3WXu3XUtSQVx0fH~$lm>~xQh4i<Z*$%vbmpRyLm
z5p$wjU^ML)w$g4<3OMaPJBSwh_q6V#!C;;Lt9mn-Q2P-pC4PM*QCxhPIUYcYD#`1+
z`}^{F|2`kzlOM*x_mefbIlA2%(J+Bbhn+vCSS}QQdp3N}0Z`(8fEOK-0kD$WzgH{h
z*GFp@fkFbougom`GJ?@;-twMP5g#HfCk7M*5t{d^etK#KWuL|!<Kkn)iN<ZmksjCV
zxM&)r{a!~Pc?vsM!uwaA86mieB>OH#_V<v8p@^k$Rc<`Kj(tA{kx|;maEDS#Z-zMs
zS&W<Uk;%Myn#8B%152g7)9^G8FMiMk_@o#~C^{<hXI+q7yW3@blhN!ksvwQsD@jM_
zWmW5lQh3j5-r`&_cfT1ob;3{%vJ&_HtO8Vcsh#me0*AW~Q%HWB+%XhY<kIE1O}Zdr
zeq}p29gD;9;|kR|!G<GE!MfD<XgSmgCb5{WZHSf7OAG$+S5nQ9S7Vr8i;y7IoHIDM
z#TfggOVp<V{i>c3Dm|(J7qVW~Si`r{<N2{`sK@jep*2e_w0wr!1)TCYovzmWm(`0S
z6jGmM=OZgZ!hiJb;=<qCV(D{nX53dLF)GP)&OR+T2vTDY-p)c#qNw+!4u~cJMzgo>
zBsc!k;rNw!i8=7?#}8??voY$It>pCw2F?^$akw56Kyt^C@-feLX7~*ODR)Z@j^eQf
zvf|Ji0-5o~uN<VV>eRpf5s^)fjM9-Hb|ug84G=1Sg~WGGd`X;0NnB<?An?=z^WCRY
zjs8|u1a-e3Q$~gln<U+rLhtkKRSFy8j4Gc?)S{~OsgHHv_QxbD&GIOJD;+Lnzx)Mb
zoz8k-ToYeARfpVCbNHywX|F0($n=irFky2Yul>iNP<63yDmY(8C~Te^+mKX`B%oq8
zJz8d_7zDgT$S5C9P_s=?m9;s&j*gM=p4W&hduE99E^s>QOGi3Z*}Zh1pXH<pCG%UQ
zW6A@kwN>ea?H4{yeL_W5Z}NPKkVHJ6vQ5f2y<$Sv95m}@VrWs`?kO$R@Vz1@q$PET
zu|50F?f!>~<`;fFKAUIXUo0A-%CRnQ(#ycCs4Z+8kj*m1mkKh#yI&IeChM8I35n46
zMnclq7<Rg%8p2ymuKVhUrnwr`u5|xAT(EUqG(DZa)HW(JOa5xYm0_6(+G-XKI;q|_
z9ihA&j75hF;%r*MFTvJl?c{p2#*-=N6hfHR73WH_e1nTA*G1~tCQ*~p^(XesG=ZO0
zU9Rr12n}Grdmfixdfd>>iCA$AZTs|z`l~;^t8QP9yTM2Gi0REe)6#j5!8CEq&o3K7
zyiPFadA?dVRz}3wT?{O7bS%y16u`3BUGa!=CSg*do57>Hb-ndUS*?}bBeVArHSb9M
zO<wdfsewkNh|WN;!fH(IvAKY6LaniXlbOQt0-N$X_@2Lp^V{eC20r0qFWv;1?$9oP
zjsS{?itu0$=kcZ4yVt&6JRfP~`PX>Lo+<$+5i>lc7N%EPr5JzBIB>R1QKSC|6E+Yo
zUxFDN3|;187aeMwD~0~Kt0o3x24MwF+g6*L{hn$E4{~imLHEWz=lajE$`^R;r?(aV
zm?Dv#SIz$aK_j6@;1S}2DGPubH!P>qrFUyv{+@SA!kI9B<OGCab8}iT=>D*s3Ld~M
zUkxQwK!-H&K!{`rjAHrsaKnTRiRfc@U|;|wBQ!)1k~a{Y+=cw<$)<5T5aEP`gdmGi
z{_4lZH~J@SIPJmPBAeg7-5yA{Z=8{R<6Lcm&jAr6EEnp(UsT=r<a9g8{mvckFto7@
zsE0+-z-a(?00RR9G*0j*UtrrH)UivDWzUE6x1A4xkb#wyQ~vAS>nxg1Of-{|>@?^T
z^>b???{rD-;&ql;_e#BvC}Z;(lPq<_V>22WLWbGY1v~eqBRp&bvzsDBoSC)~H8>*m
zA9C<%^4B(%^0|kdZAyyuvod@X3|@3I@*+xh_Cy9@Px5hevpxE-BF^X6)c-+$ULRR!
zW;bfA=G<{%a{7<gf)l22rOq<>4@oPsOVLZWNEZt4IpbLD5%i<fOB;~kAostSu2^Ns
zJ1=<G#h!j|xN;O%bZf>SPS+wsIedcuj6tP-LZzo^*>M!Ztv#g~HL%$6`NIol%%l*E
zE4A4zmLFc@@<)#h*W)uZa@E+jEUZgv0u5k2wQGT9MNB2Ln3G>aM+GT}y8p3B8FAKF
zdIJ?hri8qQO*64kje2|?>=3rW_%FO!><)2q4QvO7X??YCyh)1DyT<ONauNT>rDkmL
zV#b?IWfgK~rmg}30r_KhsV-;h+>B&uEzm>WQJs`!eHOUt;IyP{sm?0GO3I2QH+s31
zy7Je|)1N1sH<lKP-Q)uNZIZ`hZ);BBbCh(@h2g}gb07p?iJ=^64p4Oj9<4SO$^<l7
z?8GG^Z&kwvS`Nee$W}L2R?0&bEKPdk$A&xgx1>u9CKW<%KEPf&4N0Y0R$Rr7yev~r
z7ARHbfKhIA=t#G!Ma!YQgO~F#at(7j=<TsGeQ&wlaZ)u3bKyg8-kUx40=_~~Y$Z-A
zOU^JqtX-5cBFEEO^r^kUVfRZ7jVi{}OP%9d4r4ER>F27_KZjB+W~*8HHH6XAXF8G)
zn?^BYr(u*~SaZp0W011Jl#LeQ$9z_1>p<)IU8%3AwY6(jCvGa_)Z0hT;h|F$sqmFq
za$7gH$4!|+85fsq+P#i%-qIHBdbYbg=1O)aB2n8`$~QLr`^YSACatQMU0$*&PFHuM
zSthQGl^1K?XJ$NqH%41@CirwLKGvJpo_@=~jSRa$m@-{!^qP(>FDdwdL#Dfp5rxbF
zA8vDJ^Wb6?po}^K+kUB4xszT()%44oRpN6nRFjwK6PU0PD_NXgCOQc!Vtvd&i^Zfy
zl5ya0sL|i?TG!yC0&!K8_vPGn-`gai)C~bUN^2QB);jOF-^L9P1ni8S=|4}XHfz)E
zTEBihc*s&%q&z!tWXT|5s$bExC!#{GXM&t2P;oJ<vOHMJb|5qGaGel`^_s9XNW=IX
znuUA3ioc@QN73UISnqI^{Vqt#9ik*1=Ieh*e#bOHwkz5D9gFX*5<bia80-Z8J$*WL
zOHpCuY1esDVsv7~)2?$qAxDA$B121zjR_|A7qBF4+BH5ZDk?4x_6;t^&<KF=KjyUR
z`_+H#Rm%?mn8D^!fJy;P60TZBbKBdI3YPNo*=@h+09yU**`%1fcuj@~;@@wG3+f@S
z`*cmucb^~#1VT=Yv>mOJL+}nicTO$B0OBVwP6rq6E_LOU3(Q^szXCVc<I{)Dt*2Y2
zmX`9+fbaAhmDR(}pPZa|h#h`~b?HC=Z{Pp^0X;m3?zsg}`E3Pjy!`<AmLRIX(}RK`
zKL|>k|7kyO$<1AW)gVD|U5Cs^QevX6we|Uk8r$h%WBY&hjxP_&ZWD{#syDmc{~UHB
za3{S-7b9Tf!Ad>|27;OdV<q=bRUC4)U)&&W01HVWAK?$PemG-O5)*Ce%^L5_9Kvb|
zI$Bzw-&es;x^#37GnJG1J=h`I>Wc$$(S613vqJa3(~U$7%sH$ehWxP&w6+B#U3j4H
z%W!F4N`*O1BfPS()mj;aW`6+^jxyQ~9Igx7@8c5^vZe2Q2EZQG*})&!T?(*Y*cW^s
z{0|FV3mj6wjssjPG{~?X4%P!~LuMWvxxZ^ujS=XQ2Rt{x<0}X8&JpcAqx@_0`W+1p
zU)Pxi^zzDIQ|%9Tu!klmjWPySkN&_8MV&gc3V3^Ph0VfprG;W&Z9j*WFWT*iuoh^o
z*mn?=xV3={_#0@rks-Z+(PjYs#brUO*5~a{bA2UWfBW;{Z+ujVd@vj64(BIB=fF@y
zLwP~-giR};*g)EJAHWJ5fLS<$=^O+fUyZzV4>;PIzLqU_^cIWkp7~Ee*UGb!aoE8S
zFVg|NGzo%2kktHLE@4dP_Xuth|Gf5(V4!yfr4g9>*$`cXLV2AEaLNFPMK6$ssOUGy
zr24`8(b|87CIEKVJ&u9B<=*DM0K;3detd8ro!EV|{nikib$=c~pXM9*Qtkmk>k#nk
zV*mLr%X=yz-~q892uFfRn<s46d&=@;f3O)=n7TKwJVOUeAW{YY5`R$mqH7_?7zk>O
z2aR=gx?<qP7On|DcVH#JJN4A)vlB=5jTUN&Briau2g~tqKgX`VT?)-$MFn@*^-P)i
zF=D`BoC1{xMA!!pPGJ&;4|`?ftvqEi;T5->Vxyr^QStB)n^GTww;lH`JQEgz0tW#m
zT%bg1X>0!|E{c7*F!XHVhBn;mXHn>)R!&Mr6GC3lxs8`=)HQ58uH=zPtI1H0_z(LA
zk|T&MH+B9B*COPrM~$*v>laJ-N`0d?t7YDxpt8;_$C!9D>f|iuhpv?jmn;iP^sl+=
znB~y*`yr!3CrtHR=qx8Ta=u&>&gQF)PwT$oL;9j9QNx5S7X{@vT#=m8^rPj#6$89C
zt8I(jK8|&*)hUEO1me@Z+mZaX5y6qC$a!SpW4%S5mlb!ww}O$?SGHKOgFn*UDa5t1
z=I=vmV+2A~_)BWf(h|RP0#%={mq(?h89a0wXmAS~XkX_Wb&cJyqofsmAAne%CBUFx
z8Ru$RzFjS}cCl~qS%NVY(FN^V^AkqZAIzkUYpqn99(B>~B^1bc|JckMGQ}wj?`8|v
zH<)zW_^Ycm-`Yfu@oMr5h04+N%jIJrwFlqze8&wH5*$5FZ2m;O$|n<uv3L}^!sz|y
zrvoYTtHO|>%J}JH<&3kRPL}s-s}N5J6)0*X#B(zQ5#t}Q5uN$+N{YzwOsa_;-oT6j
zZs+h~KjcoI&Tjt+hc#Pdam<ckr$eaIpsir5)1{vU&#rI<-{1seM)K{-S|gOj;OyX1
z(4?aQ-D<e+-G0aC%CuT8sShx>6eMVZW=SJTWr<CDBd)vRkZvm!*T8rXi%3z4yi&{k
zG|-OD=ogkKUT^wM;l@b$pXN0b7S6Y0e^t?cs*=>is@&AQa$Tm4@<XAn;Tx8d{-cX+
zJ&wtXZ;FCRW<{~+=SkkKjo9Fedrj?9ET4HuOfe7-OSN5xWkz?6C+X?!fA}jrIM${h
zu72~_a@2)7FWCq~dUnkFP97;G<{R}Wy;x0eBDQ@S{D5KyE6-o!f;i9UerUL{vQ_$I
zSCQ}q21}_bDK*l)-22#b-ynr#liA^Jjgd|2Ldyj<`%K2)Zrb4ZtympP!!yiKd=@i)
z9Q*JR4cTY*8MX|wX_@{uk7P|7BL}W`QN)vCYH3OL`f>SI<7t)e6f)jCEw#}yR?X8+
zjOr|Bpe7ssA`BM|!vBMtpfZ!8mSad<z+q*BWGd!jv|lprh5>g0@|WaY#%qDCgp
z9puo=>c;*zUu0htMU@&rp;uN{eJmB*z0QE?3{iko$L~`3tn(t#cx<2w<FRe+kD`~6
zxJ(L$b_{PA{ymoxKgM-;D@Q9+5{APj_fJj{ot;Qzlvzc5Y-l_G+VV0VHDUYQIY=cw
z_aFUDwI$#kTiqQAdh}QLz;5O$s8Kj0+qejDP+py^>-f_U{Qwjh_iHq?d8`}Gu)XY3
z0B!!+hA{gc=o_$V{*7&B@YO%^x&PH&!V*CTaD&|s228VVzTiA5JX(2)-5$)Qd$xUk
z<_=-WR4W~bG*-RvPqq4M8DLkx3=^(&*g7ss{{l9d!(@%(jIkN*SqLK!NA7~zAe;^q
z7-ImaKY)G-9S^r|3;b`k92TpTm%BpB6eJ&6uT^5j9mr*t;o#uF$|1<k-1q(d`2fy%
zknL3q^-U`#fndH3^LeOvu$8y{WJLro_h%{^U!x1k`|3eVkk==o^o)#i@JIh06zxmF
z?ZOJ=FYtD_B=r6S?l*c#_=54pix)4seo9PBW5{xpWP}X<>R_h1g#~(<CHxxq^n$Km
zzYc7BE32=tlM9{+jZZ|pKMJuckws1jA_6tqZ($0Hd4iU&ZL4c(eOs<Z{{5!xsr_(C
zas%=NlpIi$l2cNE<>plX8OrG_EI)x>YI|Sl3(!JAvUvcA`9{}iPuPHzF+j`0l9`;0
z#&5Q^%8j@z05=o-B1eEa1vB6V2=uVTIfNaSl|j1+FDZBuV3Wy@thm4mFf}U8=SH$V
z)f73{z&b}bZBg0&Q<Us-I;<<K5AE#iT4BE#ouTr7B%8WeU)RWsPt>9GUvjrPYNP>K
z3m!*YyJi>IZvA6cN81d*|49;fz6bR(>|BA1zFT(g--{fK=<truIQjWC5GkL(A3|7j
zU+t8te@EbV7dIx2Og=RISoq<@dj&l%rHQrFjbvX}bWu+EoGB|Fe{zudw5%+8ZXQS~
zMs9o-i>DtKc;dqx>q{JhE}WS?Nx`U$n)NQA)mQB`7_sra=JCc1^??mv?}?bCSuzs8
zT1F1lpGMsNcDklAgb=Vid_hQJ)WaHL85hy3n&Mt&*J3jWN=z&Dbj8H=)OykaBKsr?
z%aP&CZdgoLu*KPAW|UPvcXJ_LW_*SsW%JdZ^pgJWfd&!1JN8mVh1Dv9=(Qa@Q$l*{
zJ6^#9K4cPD5nVs_t~p2xhmqqkJxHZ{*Y`c5+NWC2pf3lvo-)ABTU^V;P|nNK)vnj*
zHIIrlGF&g|YPj{Ihd0!ta~E5QFyEEn9BH$Visd9DQ*Xz|g)A!3cjRuq8CG?XIQ89%
zoA)n0qNbT53HOcT(U_Li!)7~SB1r3X88Q%a?i&~$7}h4gWFLC-rDw_XsXVGA;+P>d
zMH}=cmSoMaLAeovKnrH=s+UERq(U_scVZ&rjg6Ep{mRK$ym^@!lg%0*i$!3?Cco5H
zZ0nZ)WybovCGL7N;g@4WnEEys`wU)3s1cFv(Mu7RNn@51MjSs#k+IUPj5tu^h*W2F
zwv(u4My~w1^;}cq+GnD}u+L`Czi<%{?img)I0o&NSak5<>xtUFMM-5$y<5jeoS2C|
zmmRPR2`;%g@ayz@<-`W2!VP>5fSJ)yeL{Yg;^3q*<h)JM85(Kr=^KUDG1OI)#9M`+
z*1bZ;R5tL1s%+EzW=Q!tHjf^{9K#Rq=pmkYL~zgf<d*@#6-cO*(-jI9=IIGI|F9zv
z?33H`PxW{GDSVv~H~s*)2B+M^%-QyGqkiF@tAtcDMw$X0pT+WT-dOr`Q6xp4^0VgS
zh{;0A^@ky}%A(k`(!bdA^!KZ<8S0%-1&lcrUG~G3(fqiO&dm~53XCeGtdfWmVu{wf
zU8)`v@|jUSzjS`)MqqLzO{5&}W{!cusEj{lN<Gc*o}*K2`Too&9!3blG8=pzo@;ni
z2fBs@%(#VL@v2dJBt#CY^gA!5DCOQMzO%^2y*W8NIyq9HJ?*V8QX`S^;N`D|g7}!j
zH!}pRGluvXEC~!+7wh`g#)CT<5pK_&ixzh@j=h%$l5T4Kp2FB^P4D5g4%ghAzMU}!
z_E!2=CC<6G0uFT%&gFOVtWY&_tquzOu3KX`*#QgDfu(C+k-p#0YkgO5>am!1iR3Uj
zK67xAHl?P%+aVM~<jkcSC-y^6<D|y%I?uaknWX-VXvUiOcvGJ3elCx%>&heDkHy}X
z5b%h-qNk$6R_UPu;3nfb?(1Bpb+_ZQ5`)OWJC0YM7<oO^$?8pdUH<|$5X=hycw<QR
z7%TEI>sS&6w#UaDoRf-Muzdh(BIMsEqXFzv9J%w~`q%Bw@*6jc-3{OD?Hn@Tut4$Z
zzwHNkCf1!>|GU4F`(CJf<a+^DvT9#a)7O8RFZ;Kt!&bV-U-xKRpXd7XVg3Wy0Pd|R
z|4(&YxbVVK=9gl~@tv!4Z+-azEp2<-(9oIBUH0FW(5Pf$6O4b>&=tXk$QrB4qr*ek
zB9;jo9nk0kSaGK2qDFq_Dv{scLD@s9t(is<*vR%f2Lg95AqEN$u&C|)f3$s7K$L6S
zu1HEF(y2%aLx*&Uib_cdLk=q4Es_F~5+Wr?h=7zxgGh=XEiK(B-AK9bS>M9{`}fH{
z+H<y+I`zKuJoj@Y93T>eEHrd}2_jbIbwq|bbiWGS8I#<>mpXf^ZZcoKe1YxgJ#-Me
zxxr5O8+?**5`(6(cq&8phJk@Hs9b=f3?!*UYR59K$f-_U`1f^}^yoJS4$;wdNlCOV
z!;tgx#(m~ODm4wwb<6%75Cg*56tv!us)k<Y4T|XGO3C3{%{`t?zJgeCc0soC`nvgf
ziwHYjX4Cr;*u>6UVrayh%g)^qOmJgpHwItol4JDEw!qh3=2sR&g9w!EL~n=ong`uc
zuH1<jtj7+_Q8UnP!Y-(s<N5V-h+S<iH_l9i_Fhi8mR3|jWn~g<?XPYhK2Hn_b&0u@
z!gtHtJFXHd_PkBmO*4@TO{R<mgRR(AgoclPTmGR4DL1DnsZ!TaHN3oJE%HD%!k;S|
zSL3C!+fpv=%0?Vt(yDm|jl-q6t%V9}HCB4(eDai=EGsWw@e|l|8@;rxVUBMq5d9d;
zOQrPeNT7zk^#b-o+K!6_0^P41)7?ZjDx_o<ou=*C2pcdjNLAW%A5|-MbE0q@8q6$a
z8r@_J=H)fb2&o_d4nOdTQ~Ki%qErG1-_h2&Xrx+Rx4p?+lnHY9$<jrt!@UbL^72MG
z*=mH}x_@pwev(Lt<s8GStte1)m;PK!ojb!P&y{lr7gg8J&${PgdAYyh3k;?Um$#tk
zKq^QLyRJC5B2hTJG1nEO7L;@ll{NLvMYede{@I`W3F3B(bCOHQ`*R&J^9CQ(I}hzn
zBk^_-A1CFyPFF4>(rzYlt2O;bQV&ist0Jbb9*6%vx^^{0Y<;V_xq(y7%Ya>cm|k>+
zlz#3D_G<~x6lZV#7XP>?o^0xcGNte$3)v4n_)2eYVX?mE6q~hHc=NP{RVn?o$5wR?
z)8WC~hc(x4p6w=&3K9uVyJ;_f68hum`tdi7O)<^A<u^Z4y_x$LVCTPets?9lPH@>Z
z%`+`P2OY%)t@)56f}n4HCk=1eqQC24agbCj81W`%H)PtA#xaue6Yi#UsPV^jJx^rp
z>w80xMKPs9op)c##5L!WiM<puy((a2NS2k1n&^su;tlQ}*TnrrX;&Xm+a^+fC20Ju
zn(E)%{NXjTrj*ymN@1<AjLWJmfnKdF9j(+HdvB!Tt9<*O@r&%VxetmjsZYKMR1WPo
zF3fw#H@O{FpBE5NuMqCS_pqmy?09pdZ)9QQnP9u|%dSqr5z8eVk`-dJF5ig{#&Nh*
zl4G(xOAQIbeVAX36YRzF6n8j!<ae~K2=kwgP2%qK(>7f0EfTu&E2Etsr;D6onx*RP
zj_;i(eaxXVFNA~`B3)V@K5sfbWz67BQ?hoe?9R|viU{m&yViH-<=2s`+vjF4#mO?-
zZL;uOJvU?XoL4uu6kk#XIUl0+5PAM_JyY=M%>IS%G8qw*=PEEEZY7)_%8&u=&~*F>
z!yfXZ830&SP_=gF#)TPIKf`qPe`m{?wXdC>5&R2)&#iD9U~QsOX;4ssN!%08{DX++
z?^02DL?iCZf$A_9I)(7Zm^;uAAe7u0UJNIZ9*iV1#hP@TB?jLSYsifHQ_%O*wlWA*
zzI>0?Q*Qse)>J-qXcpZ-m;9n#DS&l>%yg@uVj@YzM(@_GTR>;STsrAKOVlz9U=5r&
z#&$!=6pzxeKVc4orV71qCg+;Kz%TW<V2S(b*}E^inXAbt?d1-C03RCaPNB+()9}}1
z-5-e5pybh;likJ3km@-<fk7Ri)S?Tq#g94?98ki9jFMt`x%XZE4TF4Mld`n51aVp1
zdZp%YFd6&_rW(kRF%y6=<iT$jn^({AOfj_hVql`fuILb{WxJZ}Tnhir!){V&iTLTF
z&*@D>Jo>}|oI2EvYUT}qGTR5nah*b>2LNXPX0|jnHT7CvRLtvPb3Hq+IrDUNr5qbc
z96)B95wQKBX+}qM!k0q}^?izpptwIa`g1sxBH<>`f}Y-?AAVvcmE5KTRQT-d*-=qZ
z$@z=m)+zdYXbE&Z81j*b{q1c!_+CKNj_wUw8o8{u(oeMWlJehO5=(AuUPxFNba<is
zdtee6hqoD%2f_r%6Ocr$K(3C3WrnKOIu5Ax#i3vU^xB|mP=!D<V6Wc4{{_`ZfJZ@t
z&^mx)^aWEy@<lz9xmdU!jt$ly?d8&ad0m|kJrU+*I0%loHRJ}V2cKXDSt40%RWt#F
zm!z{x_9qj3`7#jG@hJMb<Xuj67ID2V*tNtOrk;mRmy15=eNV|)_UsuMjUYHZ-Jp!^
zH8&M8meaggLi5abe8@ZkxuMp2wEzqEiNj^CM%<kuo2ZwKY(1VznGa$zNJG;ZF0J(p
zCRz(qX`bTWUdE#(8g1+_cgp&H=R0pop^DjF)KaXGT1ecJum$UDI`ISc>5usc9nxDf
zckJW(Ed&DE=NEMxE?=pSEh8b(`T43u>~oIRU1m)>`Z-pt92r?>xm+xhg@jvetW@mO
zmEZlwEBW%N+^1Acxm)W|8Fg}9tBE;m!<AHL|Gz7}_MDDO~~z;fES<&Zvws`bCD
zs+ztXa*YC6&u<fJMceuy$1f<HXv&zYS0V+&GhQnVJMgJ7>7Bd=_3p(+)>u{?<&Y}l
zkM)wf_SpAdYBzjP!k+H&b=dmGr6yXc>g$%ExSD@Wr;3ycd)u>%`N{Ze=}RrxEFDvf
zr}DLI(KBBIPZln6i*bvebEZ6XJ#;JyqTjiaNJ^XB!@pv|8Y^)JD{DjC<w1eXDK**P
zr7!lWx1RUl+hmbC;9v$K5ht0~X&a;y*^5R+BKiiU7nDBuHsr~eFJYxVqHJ+^lx9+k
zeLj8+`}K$7wi}Ki{DbB}iaOY4R_4z_xMSt!PhHD2JmmT|O?A~Pk>}Zj`vbHudr!?R
zaV`A`FD6r{XLoRIcE!{xIHrFTTo}wN#NOEWkmTpMz5Uxd#oMpNa5tp$FlSMhZro*S
zrKh=IWAaJ<5B)IHqr_t3Lu!ii#cs|*Si_`~=7`p3>#0rwYlO=`*|v738d*(*vX)fp
zbU$Q&TTtqwrFIP7#hNv5?tG}pO&_+(^6Ldb@PtRDpWy4(0ed+U)Ltc?k#$ySwTi}d
z71AuxG252?U=H=1+_;@a?hLHRuBt1Q59wvpn*%@aG4;|4k#V*#uy}>lap*PQ=%Dh!
z9&09gv=L>$*)ErRu5<k-#@>aEAW5C}9eF2bLYZEpC4Xh}EK-Hzxk`J4*@7Q7;f!mV
zpzlKLOud%tYb-4XHD}KRf&&7q^?PFXTK1aMcwawQA}{p+nO|J(!}|PKOyMZZ<cpuu
z_Cz_T|2G!VA%=GRO;E}O_0VA8fdC9BDXr0#$k+x2sBt)CZ^5wV1le1VS`RZHI=l$&
z7av+?0@T00UUpPwe(bd8{O4`(KD2%N_Az!EGU>zlV{>ao|6(w<IG-bgQ2AxJD+z0J
zX8SKbH#5kan$EzI3Y5X)6!by`i=+e$tfs}Ej<?!D-)aBSQ<RWrO5zP<W3Iy_Y4b<|
z3R0;!&eq5Z1_N(mFDUwiY7p>eMl#7vm<H|aIJYFor{fV4uILRs*KdSHev-0p5!@Y+
zehCi%B_I%3!nX1!-9gvQya9n0G-Fa#04rWS_3}h*O{OsGe|CcBlUPu%4)Goj!&jk5
z9Dt3OJeZ#`RbTU&_}^9P7NbFRm=>ck4}dhFWd*8)^krr1K^6?e#p5GJ{y!zR938iE
z)H5}?C?*jIh_SzZ9g2K9$`@Ggyn++J?)u~#epi5*z#G2{Y}NQUMA_%vxCgme(19Ks
zi_VI&`hosfZEd+_>nvA|%VCqFl=uvq0035?8V4$*aj~#q<8cQ~GDI$0@;gZs^goDl
zo8XfEbL`}{|Edlf_KqU(UqbU)+JNOcKvsa)P?n6CKvfGSlaWK8_`heFX1l;4BcG?>
z=LGx)0ylpH{bT(!d~EV`PqZZgiSSu18=@~*u#qz{nJ%^H1Lau+C*=MEgU`cb16>Ay
z6ag0HZUK-zSWSu%h7jroB{zwQRS*{qUp&wq<-^~gp_S2Njw}GfRnx(CUI+t<#o;Uf
z!f8Nw>VVKMAA#gEC^2rOegY)bXrIJseH=g7iXQ6^z$Gk@Ff=lPj8=GY=#9~fZ8JOB
zPa%GgTaw1U5jnRt-wxeDMJr-uWjxmJ&tOMID<C0uL8$z)ecr{zB?dJI0nw6DQZf()
zd2rx<Gw-MS`@Fob5p-^cI~LI7fYyA&xS&@c!p^=3a`WAtox7^4ZvZ_+p|+*-ySlp2
zT05v~f|zc&K+tUtE-ZA27o5$2<%De4WoPkGZ3y#W0)-v$X;6W10Q?B#aUV_vkm%k2
z3BECtaL7ho9Vz*`X9?{}_wPgEYyu!$$+acA+{gX(pnKlfuwTAI8?gYpwgl8zhlRC6
zr_T%e>*%Og?L0Ik30KQt>%7ZNxZpkH?qA87m?kq=e!%I><%A#iwc)LQCy5l_`#L_D
z-48yRwSiQ811QYwtSmr*LHq6b<jKvOH&r3w3~oY@Xb|`Qaz#PEGLWS3ONY3!<$*jZ
z)g6eW0lP4icwHnXhbX&akeslyvTok_C$Purl?xG99Qcs{mGuBUVOMA8I0X3tEyP*?
znBte_W=Or!%<^yIh0>t0BxQ6gX;>J{dPrsEZ=f78e+oB_1;C}@#h~=&i2J6^WsX*q
zfbbj@UJKIs7_=uzLr%^wHntB211L+1_z5=}#IJh;WSh@a=hm;Bf-U9eCMl5EQ54|r
zS-#(oI6DPL!HM(F$>bj?k1aD77f_xT=I2X72Qth)I(oHEaN(hKo*D(qRwd#F{2~NV
zErcz@@cSLjhYJ|SYXrdWsA&+Oty8~h?;R{}qVsG&pX(l}^O2F^FO*vEW`eLJ_{zeI
z0egi>)M+qYh_(};-h|=YiSm5pgx8iiyIyW4jEg4lBiJb6(3kjj_U`a9u3h&!us1MZ
zK%srqJddcMr5?pCD0n~SGr-GmRDMA#%mqEEkQ^(Cet1DwQg|_pq$7hYv2E|}CVuz+
zlIpbu&FVvkhlkxVf5yb0!cQ^0*s#_!f<a=?n+P<8FgfNI73t(^g0{WPFiNlm#;<0#
zRQ(Uea>?JuKE&BFdInBlY?QE~(?FQK5B&IFB_}VNNBlbv`!gp|jh2(VD#*>rk$sTe
z*O@By1jPCU4+{$m%kRxS`BY)VAEyl8P(IM8He;1!My*Bf-~T8^;i9a;%-|J0KnrjJ
zbgpyo@Mv+x!LOuzl>zY$M6RhKaa9=CTqx0q36y|=n-m;rMMXuta5Jrb!a7Rm{J<h_
zC`Umhd5JG+V!{@w#xYf-Z0SNob%o_=RoVb;m9dbrs#sLpR4ri@X_r}Ex;x2mcCVTL
z;K_;9v$QFBhhmlQ)ep?H;|Fey#xyOeKJJny=TcWycPM+Cos-})({_J|HEGFtmw8EU
zgEWaF@L{Q50BQKexKQOCWY2R+U3!~9;r971dHp4qy3c+YmFi3PzhcKmF!U(?#*Rbc
z5o|~Qy3aknjXA)V$lb%6RrB@{7G2pZbsx=hqqW=}hGv41!(>&|!t~q`IUnwMVk<=B
z2qtt58!yNka_UZW?{ZPCG4#J72&APZh{diZrI_gqWD+zHeExN9xedFF*wBJgW0|$U
zipxaJODb(wFa5w5FCi#<D}A;>F6!gH^>r%8Li0*eN}M-3>33e48>@ZXnodDDtM9xK
z2_d>TJA+T&d2{+3_DW?i9rdJ|UGycL3;Wuk8c*e=0#nsW1Oqf8I&Qoz^`u&&=_h)~
zJ4Ab1YeC5z!Nn0naGJX6nYdK<)ugrm;Rl+<HSSvtOX-v)-9P;Dh>YjHb7khp{o2su
zZ#GG{@j3rE0?BrAiTq{{Z9u|PPqN2+Dzv{k3n-e+-(57pS9sIHhE;ako|G`pX2+I{
zUV!Aj^i^Shx=K?vo#&U=?!FE+jS(L%vejIh5iAT6x4>`mk9I8$-EF_PN;r3(IPW{=
zyN<br1|-K&fK4|=!wCX0MwQoiK+611me=Q?O!KjNsCHU_*gd|IVhkasv8Fc!()cF)
zRF!qeydbG(n{58Gwsb1|tmP6MzrWnh!Og^<2)Ns*-_jCjpI&@nWux!9*vPG)7cePU
zLz8J6qFo=)`O0O;dJw+V#b;MZPSZB`Bb5of`r<oV+NuPBrzziyRh&m8n_AEBXt<eb
z2WgCy`jZtIQ4=D)u{CW!CK?G)QHLEV-E^FmCl)(5K~HWvJ-EUWY#tz^_e1gLOWYWO
zyZSOZA68iu>OHuYpVYI8R{F$MHrtyZnR?_F2$w^HE=N^m;Djf#%a2G!8&?~Dd4M2{
z`1LigDV{m}ZWX(1PIN<HpsC&ZI&X`^WyD2W2!8edS}oo*MN2#7%9M}w)a%leq#xr@
zr5Z1rO6mLGRL^?}M*u`vS|B)VN2a|$w@)Aa^qdt5j7^fgD(~Mj5AQAYHmQg#7d23E
z>wd7Cl!k=_5Iz%7<p4Dg0}K4d!;8_sZDiGVYmw1GdrT&5bh;b-(jo8+9y3fGcH`A$
zg@s*TzC47OYghdD1HU$BzZ%tg4m35*LR_kqL!SJYMfd1v&AofJ^{`aKsaIB47d+fw
zsX;x%aOc)7ybBi`N|nyeuB3!a2#|eOEXtt_4H<oKKEqD`S?7~*WzXuRmKRJQ7l26B
z3TT`D{7}lr$NT%++a@L^1#$0lauT5R4@zjq#>Sux<2szmDNCkt+&yb2_S~;uU?|gI
zm!GUB|NAoG4{FILy4EXHQzhF1DJ%44oEGjr=4_#Ma&(-L7<dXhEC>+(BP{G#+jG$?
zaD_5m_;1ImV=(i=rfF(*Ju@@2Dk?5+;2qmPPp>+~@ItQu0<ND1heBT--(bP2*WcG$
zeFRD1U}iNFumM31KYwxOF%G6zrpZyN7eE!j;7RDzLOlI1*j|S$%O(L70NC{(<fLHr
zst)LhEWTg$E<A$0<(=vq+w27(WG6OZY<fW_+Vz?CpVucih*UQ;^j`fTeB?n(r+?u1
z@y0<{Fzf+f<o*>!3)V1(y&Zi9t}|Ct1;Gx{@oK1YRub6g(Sdg`S%SA(5_+f0J;IeT
zf#3}fH`8YFgV;PhpXav4x~Y(k^10{<`$bw>afoXI?;cpDB4s9gAoBa_QJa&cr6r^1
zQhIneA)p9g8Y}f+tf{N}1Bd@A*dSG9PMks1dQ2~7#Z4I&HcXtEsr^fFEfxFtTG1!}
zY`lfJIldMl+Ix#4CL+n8u7N#xG`31AxQU2XXbCb4wekiS2F$=U&$BXjHs4@5IDLWx
zf`x?zKq86I>Iw5!C1mu0eGlds3!x++SJyy)1Gg+}^FCnLqd~!L1LF=HWx$apNE-o(
z#P_-403h-L(;<x5p0MlB&^U@Vp&jJ#5vNN|fD`_)U}0_j8ZaoBWZi?{8MmccuY!W;
z>rjOUsvm@AkHPwYZpDTT7iKlUy+aZb5&(ID`w`$KZwLtlEUEG7PjRy>l{s78`fVv3
z@VYVIUf-D=`St4;eAtwflvO4k`(ORJEiFn%U#acQ1V;4j#-{>y_Psy3qp;6Vc4ob%
z?rvTfyg5040*?;@Sa_6sjEyxn&^!JHvmV&!-u3;Y<Td;R_*_Q`Sl=Me25J$V3q4`9
zzd%G(>wO}QvIdtJKsn_egg8x*DNywZE)n{g>1sg?1B|SjK3ZH_dU`+LLza}3z}W|;
z=;NM9T857r?2e+`Q!qP$NQr&<B|4oFzC?u}!YYbR4|n&C&Wm~q>1zE010!w!dN4_`
z97ZovQtoYc%lJS9Kg=SK6QTRyLE?z@-v0gz;4<LH3(r4R=i}3X9?^iV7|7FsSrt@b
z?={~;qcj|o?!hPzLb^5Q@q=^+Se8r*B)#isK!BzKe=q{d1)wNk(1s#ZIJ&{IfNBZ9
zt*jhFPcU>D1`W5S^U`8sXkc%U^LU-VVrE$CY!tJlJj6LI|Jv4O0aIZ48~=({IPZZl
z>`^k%A8@dUzjG0tk^DmXuvG<pAHl;_z}?-QuLX`0AOP#76m<9SC|e9$poDx%RjFNw
zkdPWk?O3hQ2uran$>zx!N*`-pRj^JVp?W!sM1wC29%Njq2+gJCDpHEe0#E93NN(Vh
znhA(0_gDwb+|FdF+VJ?Hg$SpkYzUMar$8PAQ@SRHuV64m5H3^H2j-3MA~)=@*Q=3)
zOe-&_DT%+i1>C13F{5-cS$JmNmetNGe%m3S*n=cIm!%ruulyi_#jR50#y&1<=Ccsb
zFmX{Yr$_=5lPH0YK6uVXx_0K5bl1NMs!dPb62lc>p>oyY;PR7Bx=V@JStW19&cY?c
zC64OA=6>yv8-9}1&}&@kU3;8fc|LSGoT#T^x#yL-^PkgcKKj5UJvD`JgK#yiygYJR
z5xd+RicHEr@+1kLDt`jUX&lut0=nC;Ik%{iWNRFIqrY>pP+hVWaL8RHQ4$k)ywS#%
zh)YFGA7F49m687QTTm*pzCp{QY4m2XoZ6=!=kD>QU<udM)cY}w&-2-1kgqMuM;&1!
z=s)A*K2vgM3^qj=H#t&v2jU*SbZqD$?FhVy`d-CnQhy2Y%u`lhz(9m5C~xYx+Yn>p
z>Ae(eul%n5#zHP0{~O^%yYlDm)BQ5h*SSZ8Y_ur6<n(}LK|;Kwg#6&~4WeJ?&PTq>
z?hG?v{HTn0ea&*>jtCbXiI_{UwW+_=PFaRZf@epcq39bLf`La!Ox4JB;`<5)1V#0~
zuNgm%%COWbA@&YLE{y}1IeXM(Lhp0$I)*r&YRm7LG3iM{Z9j!W_gkwLL^vJ8Yo7}q
zhK2dw$r|7zqF6J&mcqDDR(&o!|KjF1>FFzG{4L(nj-4XC#NLJ2@-G+ctj~XWosvd{
zL-0(1M5o}Y;2}FIzX5B((G`cusoYo1ZgauEZrlwgj3}TgO6#11a5FBl-OO)Nf7IKL
z>;=A`IDgk0%HlA7w%9u)%|x5nL*iF5Y`rmF%OA_0UnwnJ=kC}!zEb&ROagE0HU-90
ze$lE6amFf~8-tv*DNkg^KH106(x!<8eIvVK{(_1ATcGV{HPyl&92Sk8*lSN!SsUMO
zJMhfN`w<JRti5UpobQ`roB2gJ8UHSCYP^Z@ln<NlSNZL?l>wFFO`WEW^zQjDJa~o1
z$s_M^<@!a+NYl48ng`9Os7y@^?b`Q|=wy(8yuv_;F_Dx<)T6wvc59PD<w-dfy`wWn
zvk4pd{dX8wR73vUBK2wr<Rd<KzWJS|p4QgSc;eW9Z|(i=3B~hYQa7jxcb*YbYWhDm
zmE<mroNg?f<x|}i|4?_AI83YLU_Pz4ap|U#d=H<HFBK;R>3rnFMF$L2QaWSk&77&?
ziQetXxQk++wEMke6KuXE+(OWI`A-_q#LGS|qqQxYK4|(*=VKs*t41PvAe@ow-};Wc
zmsf^~P{33y{D5GVMs7?4P%03>Hd7}{xD{4ZRAdhPv|OV9OWEShbWMRjV?H?reUOYC
z{DJ}J`m+TJZ>GG(v>38a0KkG>n!g1O<2S>pr_HnIfk!yo7?$*w=-e{`(4CN#)Y6y^
zZf<`7bD+<Ak(q|=HMAKlb8G@TREov`#Dxi&^nO#x4L!@+nTf0)8WNS3_TK$9fc7Jo
zA|m}LHw?bQjsR`X5?NejdgHEaXK&|ujekbQm796?`mzKEg#mBOqEb={)Jm;JO(fhs
zJsGdrSxYdT@yS>Y73jaj#>Ex-M&G^UWxTUI>%UV`@2*&%i7u7{OV9aJZ4fZeFYM)^
z?0^5)$M&zpFvsx8TY@ur*w51NGmgohfA3zMG_i$Skb)koIHq2`n=~LS<8?lDHlCn4
z21Et$v+Pnw=GrJA2R`|}MdVF4df2&d@y0j(re}){Bw)n9PDQ8``&J$(-@pu01}f)j
zPXtG;K~<E_JKXd%<?l<0);~Xc0#%UZt6myNky@vV2pv-Pbl9=Zefv^=>Gd0<khnM3
z2|5FVIrZD2ii1Jo0eA1Ja^WiiTpL2igR5`T7$UEYUp<5qBnbMylPS&@MR7b5Xeh@%
zo%!B%{C@D|(9d)p670Jg5!7i+K5g-(fd!~XSi)xEoPnsE_QKmqefZd)rPVtF=}oR+
zeQnjJRxAkWB_ZDPzpHR1!Qf+<EK`bl6L#&AMHj`bTpElgp_FmRY5%tK@7nvY?B(ub
zW}+;x9=_+9PD`Z^S2G|=!M6{7+0LqFi4+pc?qFDWu0#+y_v@kWY4vlRBeSVLIG7!o
z7e#yt$Wr<IBM=i&RT!r{g;*&?ue9thSM$tbRU0k%>pW+o@|v5f#vyoHStCo;kujT~
zu}EUj)4x9>pRj$I^pZS}WXV@<4dkWoca%2#a!;x=ZM!HFj`CG1t83W*h&IyUd>MGa
z{&CVSJ6R@mf4XtHBQI^EhYv9qM`?eV3u`6O;S`@zkwla0GMy*0|NS;y+*IxHb28yx
z;|UBOwi@x5n7bM_jO|9Pvw5{{Y4``!GcV#dTzknlbzMw>pF~CK(n_D?m;6gs>@Jk{
zgl^;4Z&_k3I=AfW+z7?Ba`9nyvwDCy?Y`ntu)y0qc4gH(&J|<fNhIFN^_h#VqzZ!=
z(d=9o+5Efut+AXjGx6MNto?Z=u=eSBqBJ8rA0mVJi8cdsL!)sOz6ORpL`JnCuiB)q
zPuG&HzsNC>pJYaOePE!kvAcWjNZ2vn7?JZywrNXGCLO2pm7TLs<=cQesg1P+!cp0!
z-yYzZhEwYc1&v^=doHwaAgF0?a61NU=H{<scz&Dude;TBV=_p|-tIAbi5iaN<fznG
zc@;~1eL?`sN!165WpS!UgnpM^-#d{vzG9WvAT9MWyUIQnFMwz1g$l(a31K05=6xjQ
z?!l4hSIQ&B9AnvT3O|A3apva~7RF}1TJl~E^Bs-+8<8P(A2%wn{AF~u3KiZ)DCkg~
zhIHi%*88Rk3ccWFH#*MwaB{&<I(*8jVKVeLwz24OZEumPvD18pO1Pd_2%juXfwv<J
zcFVB1EN;VmUY4--^QQ$Lb+s<dzY9g>YMRs3g_)qV@&7Wx%@F&h*1HKq4f#uJTQ^KB
zTwJ$MfxqXZ=9Ke1Q#Hh=WoT8o-RJip5_NsD;bZ%m@oe$In^E~^X@ZooVu&?Y$+ZL~
zbUsCc>_01x(z^B6GcACev(yfeq}&)OXm7+%|Iz8I`uxiOar%M3w&eZ4R4pJ~wm#<M
z5`UlHzY;SITk`MvB{zoAb8W{>5-0OE-XnzjlP1Kz9uK{Qoq(`oLyoVclKOkQN!jQt
zwO8YtCfx*7<Lu?;i>CZX%={K81a5O$-^mnKR;Dl-x-ImwJuT$eU%4k+HR^5Su~(&;
zfT(FvG4mc-vce@;j&^|Fd=|*Xif_!B(n`*V<53#-9bX-zl<)@z?-#{9<{L<PVIjSg
zt4{V&?ER?nTb>c|r1VB59EO^N6dA&IIdn(xi&r!C3|QLU7^!{1)?bthNZXZcUZNtn
zH{5|yzN#n4zu<p$e%OK+(UDBu6o}XEhD=D>I7fwulRc@$6h`80W7eJQ5pqbP)Oe_r
zBTlO9uT;Dwcz`XfR)XJ>kxq7~F+tiMxF)Sr6_pn;=RbxWzWrd288J6!G<}}9@5zgX
z{U;J#^0|HS*D9G~bwWG%?6-py`D(n}h+o%zIDa@ZJs3ey{R0P)Ghpl#P#j619&OKd
z!<yQ88|h6(RjS9aw!VJZf}qCN(9iH{tQ+|kq68Uk?z<WR+8qp;WR_8F#_#@EMc3M<
zw)ZJJ4{tk3Q`vts)@`rKXz*XMTk=~fbj{%p$UFEUbuybg9$!T|&=gM~R%f5YmuKuR
zZX8;Dw}XxUq4i^Woa#u&4K>DZvllb35{*3W{z8gCYAI-{bB@bB&bz!|d@DTkoSQ&@
z0A^mhB|lw|v@;L=Js+|SBWgR<yperPr}V2h3sY--Uy#(7=<2a!vBll*>N;9V-pyc%
zPu}-yIHrx}L7c}?pT}+zdV(dk@nyLu>~wlcB^V*EJmDgRXUc(l^Uy)=vD&SjucI^*
zQ#}|xPL!-fbB!`0j~z{BBdrmNVG>^w2_7Ps*gY>hIn2mgKDsP)xh2m{)c);z@ui`V
zJmcU7DOoK-Ik78Z1wXK|hXXJ6q?gh@TK<q4f)tCv<WYGZ(37HtXJX&YpP;xzA%^|=
zXyjSJRHr)Y$HXhfX-<XmPDWwrB%9dVwzmR$H+9}uP0eC-8GrQcqs-lnVYE4+ToZG*
z(l*&?wUh9)$EiFyCtrGvs$V4&?g%PzF)qrP@G<Q37Ve^U2#&G(_tOngGt)SfeKhsl
zSyvWdMvq9MO<%}K`-~ipBR=(AOBr6KrNZBJKn^>6@+ElO)wpWci?nZC<61f>7f<Lt
zZ7lM{X;9l+!}<26GPK}HI)ig#<`vAen+>7c$YG}o{@;g}7M_nwqh}i}?E<}BptNvs
zapPaTny?2djT<D+Hb^AW)zwv}{7GIq`(Hr<DOPV5x6$XZwl+>l$xjMd<`}B~vLdkB
zxSgx3(piGY9CW`zb#*lz$7p|lGj&bz$G=MvmV@B&0_6rMpy8xll}LLaa2f<KxNfO=
zv`V&>gw-;1Zodk=XZd&58S@qraoG}3Tw#Xizg|~`EotP9K7_+e#lWMluTMut289ix
zB|k}lt@{Bk;LiSfYRLRwR{9_1o-Gk&*nA0CjKBy3r9RL^R9jn%OGv!|$4{_msUiLh
z;3R_02a3;tI)PI1O6Q+3Q0}_51@TEkXfrO<z@?=z-|ie7Z8rb_04;O@xB~K$5V36l
z&?FFf)_z8l0cB-H&=~=_b9()*#|NA6RMaBYx}KiZs{?4u&Z?b{1Z2+we59t<1L_RG
zSJ1g_j1tbJZsEl+hoa3&U>yT^A1Fgm_%t*$04<XW5D6$pXixz4r%HMVbi<`tnd?8^
z&z1|odHC?*NbjO(h3{fzP0i8o-!7#uoA29&1KiOv43HqYmz=KfD%2j17gN4Y{yUqp
zadLCNhSB+FUp7B<0=|X%fUGPa8~BBV2Rx^%Ax93#BV8&W9=>&;AIJ(@1Hdo<8_~CZ
z2ovuM$*t!N=dv@zBq~11C0A6qK^Y$KPoOJD+qOroL8}kDky*GDC{oJ5)S>z3RQHT@
zjIJF{E-vNUx6z4GVC*`DVfsf!6VcAvAMhKb`kZ<!SCm6?9Xy}|m;`tgszoS^ul3yh
zZY~64DCj_=qoWh5V3XS0{T+drVo<TS-*|R`-1dDais#rS<nIT3lv7y9C~AwewJn55
zB1n(SzMBYyTSl)rgnMj)I_F(>c6Xv6I}Z;L)%X8!kg4J>mVZu96ciLrj*p?V9mv5g
zFbf)0J6nMFkqUuS<BE&<FCG#=j2G1W{`{{XzA;G|TKVn*^$10_z~@-&j01oK_Y{7h
zDbRQ^=yF|9N``|~aDUtlZvXL~o((W<LXC$H;@Y)jNS^|p6WT*8CTSUd82}>;nTlTl
z>H=u&Gw3>j2i)7-<mBN2mi7lAOPjriXs-nL0pU&5fzj;p<;!q46&D2vm-?QK^ci<7
zR#u#*e(L^KG5h~RLTYTjgf~<1?mKYuAWrK_k%*6px$>Z1R9M(%;!`5O$m1^hQ5kY`
zp`@Ig91um!9t}Z1;){PCqSS=w+QxF5<fm57Ic~smTbY|jwV44b766o$D%2JOWhb>>
zvo3u^R7NhY^tT(u-#EM&;JueGFSY18Itmm{MDwFsplc<7zZ_yBMe;z7FcWqR2w{1G
z2^c#nJ?+R(J&&Q4EOWrJpbsP&MrvyHdLBNh{Ck7?cDFyLMuvsymztBItN}fTn`~86
zRz9p&5TtYbf%4O<t4~n_<rk#<>h5!L1wCEqWFw#ocX@Q1F{^?OeZ*;FMeC)2!Cv&2
z$1pmuDr2*dQWm|Pncy#s!Z#I4dUnosfoDf9#pZgd;c(LXI(hT30uE~pHDK9DwDfqq
zjAvnwz8&2*y<To9Y>h~>k1u<7Zjbhk2_tu88ttR#n}{7w%00#TVvy2u+?LA}9;N@P
z!@E=5W?djz9yYs_9<@it+cw`7bLZ3>|MrUnj>yA`+b#-X=EHMrzi>&$szrkd)L#%T
z%I|qR&wkQZ7>aLP6g@F6n`h^0L>X_IPGH&UwP4Lj)pK3F8(+$+EY1k)lyZW|-`eo<
zr^aWW{j!ptD!e_`5PC@vESQyLo$~gca-MO|HbL5~`L9++`yu}4m#T8KS&;J|)JV2-
zp1sKoPD7<>FWqQa(7<nFZAqxk*ZOL^H!--lTSSn=niL$|z|`LBSzeOx;5y%+u>>|B
ziHhiBb_-)`vQommOWEhT?mwasSHq2kh}7?VVcYE@=jlFF-fK1|Tjq4-uD!Ly94=V)
zCgmdy)wfDgnzbhEs^MIk%-1R;Z?Kha$flAS*<;3Lsn1!g1sW#Y`MJtvK^$B!J(5L+
zJor_A9g(KGFlTvV{yQDC>tUCFn`%}Z0>P7q)Yw}YM>I((7R5=_D!@PUK!>Z+_uV#?
zaAx0(4XbL0c0R7lk<jjWD!$N+ir3fkaEJn9SFYpv-O(XHMT3#wV)+SAbD|%nd}Wje
z{><ZdomcURw`TlT=WK{p#s|mauf~6tiMsaE&qUlw?()EW&~0L6yG9ROZA2^wrgs@}
z#|s4uH!J2{ElAUuBD}F*e@XMBhamy`^~*Rz;^o8HEtxV@zj%650v4ymraJ`f->ZA8
z3+J%gic$x6vi(%Wi=bwy>Lhvbf+Ah*1^dhInhp2x*Ug7v`Qf7q{YIeJsdQUkg2c}V
z8#h2Et*Ym(3;~grh`01(4Q}n-P7He)=Uem)DU6RoM=sU}(wvMiH1O6PqpNyAs<T<!
z2ht_jTMxmLC3$)<J17x)f&(NwpNz<pGm5=Gl0gENYu2BzfQ<kR1)It>F0ODTmOpsN
zq9MT+gh31rWlO?cwq${a%10DW(7-*f5hzdofK5$brhBr|fd!SXQ)CGART<Cx++6dY
z8D<lBE_D6-J+}Lvo`>+_J&%@GR~URkWQ&G)k(C>~KELlIGnGz)KVbbXc<2tkP#Fz(
zJMI3`YS9H*O1$}By^0{vPH0gpVEFmud3ky8uRj3d1IM81ni`2)Wuxbjkw2upE8b;f
zoPU_2A_|`Z_P?@MRbR?f0g(>ATcD8(4zV(z<H0O9bN(}k^<kw5F9r^y{2)I5!-o%)
zOhNmrqwxf=?d^@Os;#3@f4hlKK;;0Q4{h;>7O=70jGz^U%?JF&*jQMly-j;^1P5K{
zmHF!nCOg$GVjImfXy1)I1%y}<#k$;Rg8?M{byJ6d*IUNN8^o~?(+UPP^d)jyR0%eB
z(f2EQx&IICn3(T@_5bD_V*qz)=<6%Vtd{y;#AA0gD8KX|#&Kpw0F3yQVSvAns4lAZ
zuJ-g!JcW<3xw#1n*E&d*1@ZzOpwZ!tZ3Few1PD_>?iIPG2M0|F^4PX!>L(y2S^2~r
z4QeIejVdd}mKDqN3^X<SPlIfy2+wK=4kET;gWVoDg8f;iK=0v6#~!E{fIzaf{oXC_
zV>R_nL_(sbY@kROW~O7B1L%5s<FP=~Hb8gU`02)fbC)epRplG9zsP<s335~hO{0JO
z_(9pXS?_Vgls7564zv&0G(h~qYgpwtA8+IhcQE>UHPX=7Lfg<`QUYnR=x+~6v^)-7
zgbM+K1qLTD7Y`O0*_~8BZ!`NfRP@G75a*}^b~z&Vy?3Qo&tz>E!QcYAVK&qX7(S7;
zo@F*Tf%3ic%Hyt6$=e{<3JD3ZS&;GAx=Lk#-_r`De|;g<V2eS|MnHSK0qqfV4T3(c
zNj25V=19CnS6w~Yu&Ba7(5Uj9M4axM2HW<|9Rze0h>LpyB}^Ii5VkcC62o|^11`dk
zKuJkt{dh*X5eX&Q+Ia)jm6gNS#pL8+`*gC+Rrz=Nc5vGSLWhPBr)AixsCL2Jz}5(q
zg6#3__t^U2e*ID6yU6y?6w}oTrkK6;$;ql;Xws#q?zCDv57KDtUNB01qb49Ew6>{}
zYSF!azYoG^j)qY$Zh!yn<Whx{2H}lFr;GABOs6riv6D~MrBYPfHfL_!U0k2m=U)AR
zL!FL&yy{<3A^HbXLn84cUVC5t-*N5vXkrT+F8$ak$iw(spza$cHTTd4V{>b3>+Z0b
zItERy0g#ZP6Tf(%=^#;H9>NKVJ5fTk1D3)*t`Tp({VzWCG{oWm=2Oq1`P4bbC+t^h
zAp;dCyN3HCG$@$q&^k#P6ezDgs#IiU*0#5|qcw|RVg0qRgdMaW59*INQ~@6b^w-Ix
zZO`?;N1?HkjqHao(}2FlXStx_3JZ%AWTDm8YH<zxIr8~a<Yct>ITJnY0i_M$;xHLk
zKu9_)1-Tg+@<l`7x`g)(qQY$;PAjL4<mKfR6|qooH6Mb^4M@ad!y+iE=z-Z5M!o?U
z{Z(|<-Rh1&*#t`oXuSVfetxv&YvjW9YKdg1d9rVtqM`$7KyZ~|o$4|d@^p8Hz@rv#
zeTLO>bWPgsuQG^|04(|?<Z}!RKojWOckfhQi}jiox6W_Dz;C<&ge8AV$D?gH!vKBS
z`A==$wx1-Z!3be}HmLKKivJx(!|>GY4BC0_3K`x_`>(h5_nD+TOLzGffY%3WFGOkX
zLdYu6@0?$My4OrCF2d;&0$rVfA_a9K3~!^72hF;OcnH%lfsI5w#TGPkgG}z|9yd6y
zz_OT<Hv!%Au>HV6tBacMy5n0jH~R}P=@!-Q{g{0r1NBB`%g*3827({LA^N=aMSE(X
z{|<d$0;l=vZB2D`p?(GNi=x?Y>{qXXY|eQAK9_dEOh^C@5oj$wW?q!?Tem#OCWaqr
z7#5g>&s#kWP(1r+win0vj^W(c-qG>t&*>55kvtNjg}Xw;b}UCD_byu>n#~6LtC)88
z=rh;^;D_u1HGgn4x&^<LOZXtoCLt#N40Ae&+&W>J)#H5#D%=D((7?yPbm?k*yMnwt
zM3)1L@l7;z-8r8mqU6s(O4FZ<@D*L6rG+7vmXfj@xOZT{Z@t<n=uMxfg`*Vu)R5}2
zka$@k$a#729$PG|jzsig8<5Sf0Cjzk?wT(sasB!U(95t*IKurh>XXBW{-})ZQ+|-F
z7g)F6U}0`PTxxOurf99E=N*|?wfKeyc#Qbe+9eMTHH{F#G9%Ox8x27)(uSK~11bML
z=DoWMErX%U&btMiK^|%f0lnO}dw-@^j+jN`;c>B%TMjRngtyIY1co5ls@V{^$60Jz
z@eM||OZA2$8z(0fGDN=1@82NTEm5+1=}fd7-G)>oj~d}v@ol*|Z&S>WyO0`sXIPvo
z==^t6@&-9l<{suH!5r5TwvS4;YaFYb&59dEJpSl!Xv98X@2$$A*4TM>imZ%^?F{_<
z6tjx-a?5hIQ`W`K0n@wp8drO_7#rgW8xt^0KXr^7-_b}U$Vn%q$cX)_m{;kGG7<2*
zR~UMmY6SChs{D|Ad&N=(Pe$%b;vDVL=l5H_g}s%?oqA~^lBIS{-@ZBd3A?0GL1BY+
zd1S=zUML__(ZO~3alqq>!T!=EEiC-mtYBDJ9;@ES^!w*!>3dxtZHTd{MS5!s*rN;L
zdN9cXI(v*mR|#!Ysi;w&Pn}vB__<#bT-Om=<-A6Ik6z{hA*Vc1J|&OObOxT7Ncy=W
zTb|j{FOgF#x-rx?H}fX^(vIst%OTY~8gv)q8azIs@oM`WQyQw4mWGk4k-*Ncd&bA=
zo|TR!EmC|ORTLZQd2Q$QILD?mx|u6A^{|PNx)_`Gns#cO%~V}sRn836iH~OUmM&1+
z`v=^}G+mqJ!7SjSvJG1BG^Uq4uW{kc*E?M4LFtV2oFe@<ONn=lUn&T1ZNp$%@rE-b
zt)sVu)S^k@vL>ZLaBm3NHW@pficQwVOG+{qNbZ}?n^O{+o*c?*Jyvuwxl*^<iH(wX
z%BQpqzueA^gY5#}73s;8vDibdy0qFwy#ak$nnZG;OH{;+7t_!0ZWu;!9Me2)QK)>a
zwDcecLp2Qld|qmuc3YsF`qZ}6m#mW!R%HE=v3pv!8m72#CGJacN17P}O)Pi3i61@F
z-4t?PalbU`R0iQp-zYRj1YTRBH-?JFJ(7jS4~A-_i;;52wuCw!A0m5(=i8%Nlr|!Q
zf`Xnsdj^Yb^c%CawY5_a7!XnOF<-viU=2!Tb|x|Vv@n+%DF;W#BsgD!l=Vj}+8_k7
zmy&yE4=0EiSVPcC1#obgWtT%^@!Xu51P!Q4sZsC~2W5k~l}EmQ$cq<t>b0)rqo)(t
zI5=J4y9YqPru+*`Qx=;JwG8GMlLL_U;3emOUrVdZqL1xJpZ5$?b7<0C*WCYMRkS%E
z0R_%75D@?oG)&^o;6VL$+Vbcb%EHnT7Ef}NHE1wIJ>DIr;MK~XL2}Io5D-Kn%||Er
zDBK1o6_mTr*`JYDu*33bV{3~*t-!41REj`z2a^bhmSbaOEfd@Zrjv%w@y_nQ*?G@v
zaHy!_;opMRX|p@VM)2Tw11<yLT~=BwKLWp)LewTYDDD*xDx8&#Es~nQu~+%}IlX!b
zMmIM%QPB#J(ZZzi{v=ECX7Bmb|LpgbEDo*LH$WN#s^!-pAucQga3dO7kdrfYzHlyN
zG!z;|FHtplBjB=Bm<N9vW%|$a?E@GF^IO)*jmD;?A*T4X*uOKrRY#I=n2*F$xIoZ*
zdb@C|b{T14u*!5tNsQ9SXcELOFe{Nj5O#017!LSjDba-(Knkk{hvv(8A5e0hc_7@F
zK#dMj-7uJWfOv`RUQ)B0z~aheoeyZ3!i&KspqEWvK>}SGk=oPcz9PkEG|bEz7|VPh
z@&mvm2&$riYEpn4pn26EE)8r+Pe20*Co<3gf+@?jGzrUu#Pj^wrBaNaiL#rbLBSL|
zg|_&@NC-vd=od4>$HN=`{Pc;lbE(25mglbW1P8?TK~?y}brV+oaQ>32YoAqyelCM_
zH%YG@#pln4kNrB)L_k=1%h<uru40hu<p@$>FeGWbAy7z<g=$XVrxk<1bu9COLFU_X
z7@KOcfdVv0flv*$63yR~a@cCDE7F!>T8W*Mh%~8U_Y&s#y<6D<9goN_-E243S7IqG
z+|s$FJmSAABzjq+N3nd?bl??rymIfu<W#+Vj=D5ujer8%a)p3`VM8v&;E3z{8;84F
zi~i}1;s>iF@s(+s{>iHn`uKW3v-BR$TUDiL580cTnyLb~m*&21tK5n_mq<})9ML|M
zS4BEQ5ODFDz?;hV(~ZLz<CV-*jAFvl{sc9F7+T71h_Oi$;*fzMxdl?0oDs12`YY)?
zMg_g<4O6d=oPGACDj?IBCG6DVqI4!AkHR3T+SZBF;X>v!jk`|HK}I#Nkuj6jvl->K
zV^{R}`PFFx%yVvuUF@Q@VsI?1r#5+MuHC{W)~bk0AZ$!D*fbfbO^yFS1uGfF(|IYP
zhxA@(YItIDc6x$?`89*1@JF3A{BqWhO~Z1YsTx+Q5$oXzlWGo#jFsW--QtWF*N}Kn
zRuDrVwxr8WdpxE38!7AbF!dAhDn5(g^6kqD?cHC~1D0+L<5Nm<2+TT%g=jmN)RF1Q
zSsB-F?(atlS<dHa5Txay$T4xB-3k@Oo&JFnVl1(&{u_kDZwrjmhl^uB)ZRC{s>oi_
z`Ls^Bv5A?{P-~gBHjE(nhbA=#VcJ021V+rIW;GI#pEP4$%G>JG^~zbAexIKPRFaZk
zI0{awQfmqHn~5pL_(eZR@MGLT>;(a1V}jUNgB-|(mJZ)wewd6(k@)zm?ilwt{ddK)
z^FcW4PpR#<Li1R8EUm}R1*{s{Al^QYzCrS}xPIgL+RHa2ZX4^J-<SOQdPEM6!qWRk
z$8>Fc?ifoA_7-_~GgPtVHVnS0({+%ksYPd}!O3{H+vn5?t@kT3if^BXJbN@?-o$j8
zrjbiuz#vzO0S7Z*a0F#%Ken+cI9Z*6NxkMS>)EU(t_Tu(w9)^jRRc9j5SK#i?Ks<D
z)8*BRq9o{liA1QXs>*;#!iolxnCBt&8B8=TS=xV@iDo+t&^(00VRd(TsHiLtVm(EC
z!akoY?H<y(o378#5A<F+J4hw>^eeWL`d5;fFNnne+6byd7}X*vUrV?l=r&dg)c(TI
z{*_YTj%9%}FckQf<>gtS@dSJvZ0xwPD=B~d0MAD+!UC5H?8T#p4_!+8SL#-3D88L-
z0&=7k?EeeYHH*BCo65ZA3_FJlO!8o@9Tv|@OY`M_Bv9rV^<M!A_UOL>I^-$nPAI)s
z2eRLxYiH{mm`fjk!)zJCc+A2hz!Eh%`6gQvz|Zj-QD){T9LxKjH4Y657y;&dNmb0T
z4cBffWs+?jT&qm$8&F`Z3VX{KDF2I4uRuK}L#?%nlnpDB%#bN6k*<n4{(1nj+pCuv
zc~*LTGy~>qX%{s*9)&4-EQ{aEFequeQuX!{zOfvNA*uBN9zvd#t!>QuO8SLg>u9Qy
zVVil{L>V!+sG}^v(jaFTBb_0)<EhqU<ouP}SxM7WcfgV(5(dTsx*Ih2p8YPa0-Jn@
ztuB6zoqoE_zCKGiUBV3(z2=WOTF-fR2!c7$VF75rXXAC5R>8s-5>#Ub&d8h+*<7gP
z%=mq+9~6IqFB9sy5C>J1_UWZukpy7>{7$2jmMX36?y%sv!HkgX$-YEuBTmBL6zEg?
z<i(7<11oj*AE{NTM>BrW;~;Lqc{ey9VxMm0Cet%5-XDYtUf?S5zd%P`aGoKwflc8k
zU|iGCc(u<%512g@fo}%Q&s+jt3Q~Pj6SZT-p{HgGNH}^#zN5(&Uu_<?vr5+*c<e=u
z9hab%Q>9WF{5k7^(bYo=`l~LIJ7#9i`94od@d>uc3S{>qOa*4%e$Xb&4tUVv-^$3R
zM13f9<(cV1>#Yql`XtvGUiwp<`sk-_Kk*P^5^~Ksf^Dpc1j1#=C7N)uv=D-<fljw)
z`Cc1LuVVsfF{vbxqq{2HDwg#3!V{n04VPBB6>Bf@X;+v1M+TxKMDL0qG5N$(`vmLt
zyrl{5GcCYPyq0SPgFSkT&X;#|N0ZZR7(YF8>ingIInMjhfiBLT@b!<@xNEeCDVwZ&
zA5O^>8UY=}5$X6sYWC4r=Cw4ggNqvdf$zKbkpv(m>M|;v^8c>z>{gz{Q1Q-{+xQc1
z{Yl!LVb2caH*TT~IVq>r2@9(Uk7;~d#ze(6kTHi!R%wraDBTefAbu6x>6@{CWvTWc
zxp`2FuiyBQ4eMQ5J2Iz?=BtfrnLDo0JH+dklvsjn%`f=~Pj@p~Gw^!o->5tG=enKJ
zV47C2$RbB-AY0>YN0!oxwsG@fgRzeh)d9t1y~_V4A1My?4qsg!`$IpTUK0w(NI-A`
zpFI=Pi#Boqt`B0j(0Pj-9JdhhK*JF+NlSt`5d!9y<1Bg=4N#(b|D}{qX@lW0<@IZE
zPd!&FLI!d4p%~7kXsGa?Q@4|r)<6h3yLOS`IP|aq?&zX?%?)ekE7w<02!DjplbC{r
z&-ff_+%8)B?+R8y;<ddFgBnZ?#PI6O%xND!Y=B?j2vDyb&lA)ODN1T;cW}B(=yewQ
z0$9}C)D*z4t*yNWnU~HvQxLKxb(5!7`0Vq-3ZZnBjST@tH_+J+hM;YCK+43%#6U(P
z2=={ZnlIeU9f|`dRy1hyy><t5Kp)P)GYoH;LB}re%zxm}Zeg9_G!;U;0jUBNUv>az
z00SX-_k~$lG9mGbkMBbm#j>Y4#=0?Nayp@~-HvDNM-%_9j<!j_gMoM%++F}(Agi5k
zXZOMA0}Svo8g47MexRmCx`0-ML%T=SKiuftvv?dLT5!t+{;?|7g>1<ZI0tWm`UT<w
zMn|92`(nU!zSI~<Fz@(NowI-+z`*`~%@$n?i`>=o6W~D|uijlQs_SZP1>S07YYU%*
zgh}vG2Yf^1<m5Jjlb@t3Ang2qoDX|2q1DXwqJTVtvUZ3|1LOl>k(-h9ZGC_W0q~O5
zYYw3?@a6y~D!#S9);a1<K}o3srFWnOPXJaDRPyiuXdxjf$@1hThJ<;UePu4xsmy73
zd!M4Mn#nmuMMLI7*{W~AELqTI7Som#-;|QoT@XaMk<tx#NSBOlygdMJExJ$|A8&Ow
z8)G@lib+U-DZ>LK=qE?}Bt%5J+uPT8c%&dR0FvQ+pvDEbHls>=xm-<wmNg(2AvF|O
z{$uD40AW7>rlB@A0|NtKglq5Ygnz3K{|k-G$jgH@53v6UfH&X*!G#4L`MN}fgLx7(
z2v#|<qqqeGG(OJODrHu|eTa{b4_^Qn9!7u*zQV@#uDF;VdI(_C2d=b2{tW_d%9PvY
z=1UM13mCmIyDEI2*`--9aB75xx&ZwOGhlo`aN=Dw9uZu}O&#%W5Q{rYt(BEi+@N;u
zBK|4<1}m^+RnM}l_2b*$I>}!C)u8dbZS46+jhz1c<hJwvjQCu&<9dCRdHBS8F{Kyj
zv36VM5c1>)$#=}&8d)8pIt7v$O*mJ`ET4Zv1;SP|h_6>5XTHR`noI3~waZVNyeL+U
zv7nP@rI?Z$^Q~7gC%HgocyNquG4#EhheE*H{06*Ka%LPAR(hrE;0}+6X&;n!YV%v-
z!2+iCZJ_EEXn!^qht>Iw2fkZY3NaIQXpHm(5Ga!@8RSmfTe{y6Nb4{YklxS{NN*!V
z<$2&Av`c9&uTQ`mlF}MDqth<i<e^}_x_M1y(XVldi<W<hmcO89-hOAG5h=irD0ku$
z)aT(0<VX&yxs~)G)nSPXFEX<Fu4kJxqx`iJngv?%xx|vR$911KPLq4hTl|Mp63i(e
z5vL)g!}Rdzh*ME+LqAc_b)+v+dsuGNK3I!C&%zv{8Zgvp`e`z027MI*I9Fdw42l~w
ze>q$gwBi^xyUCWI!|II4_oXqRL`9ITyzl&A>C)-*v}H7640~&lLVka9La0#3m!Ux3
z>oQ&ByEwX+_z&yZkM{i78JDaFaW?l}d7ic&@ZDAw?2325n7xkUL(kjqHHe2tz($aO
zUEsh?=S(MX^^)er)J)ClfGM6;ymDbjdr`zo?F@F=<zg~vBsJQmHlXzUiMbgH^T6Xd
zZ>d%eM(|4EMK`}<sga`I5YHcGQ|H7g-M5&t6!DzvI<O@zpZt<t0{3sE(O`0#y8_GI
zfeQ|#Tqj6^4{@LpH1=UdrZE2)_dcejVx*hr5ooe=AW78bIQLYiieXXyd+jE&lAZ{m
zlLMAsg5ZrXg%S2kGroEWh4&6!s4Bc22&e}MUQ>=&>WP`DI*@$P@ObEHUQAdTN*G++
z)mAho@6NHK!$OZbmYQl}FRU-XV(09V-nkY&L4ARY&>R(X(^vY6Mj-B!I|8%xUn|X?
zwkJpx@H#6dbX_$S!(m;yC6OLGx-Ryg%tG$vOL58+R8(kG0jPNB=|tOxe}3PyEvW^p
z7o0M_zP>=K!D<=Ce)#)$?auc*@S6rk0vd(^2`_@>d}U}G7Sg%-dHxndugx26S@DLR
zxoK(j;N3uj9gn+PcEEKF-l@8+Z`TH2OiJ8&gQ(y1k*`cf6Dk6F><C08Kjp=XGv>l)
zvT0^<3|?N|&-v)EWQj0M9i465DL7GA>M8xVCwO(p33g6!(eSkZ0kH>1@&`ts^UyE1
zHZjfi9Q`;rS?cym+5q$9XPzK5fzSi)k&<VSOL(RuRAm1M5&=kr0TWSmMn<E#kchA_
ze+z^^qgKE#y_!D<5e&yAGeBjQC7AT*s7tu6w03lq-oI^VH~~xQ^71mE^&o_1P40kA
z7~*&NTPV48dxQ_2Y5r&8_Gey6@B0Zh=~}zV&w~Q+VJb?vkiSNy*UEu0%qY9_f4gxD
za7liBUQB&bE&HYrNEzZO*mwX0wu4$vq9H!FwXwDPf5t-2lCc%zds~<24<y2|2`C|9
ztb1T!H;~FOLHeoZ-MitSl*r4whO!2}2i9ar^RdxxY`E6|{a+^R$-APz1|i1mf0+Y;
zCambp>}v=jo0za!@3N0Qbmp%JyjUlU4xA9ob8ATmBM3aB-<YfY;UEOxA72Y}vmQbD
z%&kIK=XhIQ-r+!g2?@G+R}FP_ev`&$V33BbeHHdUkXi6Nnmw8pgm1Zab<;5=M|DUc
zdH8zx@9jm=agK^MV*Im#WNi1fq(=+^k8P7T?CZn>L3Z!mcJdqxv?bsfS5~a6kf*@J
z0sT;1_PV#%zW)Z4dlmG3z1(vK69HIcP7#2iLR$J%_4C`eW`JXt-#8fEr3~BgRcIN8
zT!@2IC#X>~uOo)t2}(T0|Kscb*U-oAWNLcF&J>*RHiKTMLos|f-w6Z$F6OpIkIFAD
zuD$vA-yOVpToDzU@ASvXIe5)+V-`INEIWsN*;*;--a46J#lphkYk^n-C{kdJ{|^&I
zgMyoMq})b7jE6R&<@ng^coIPTU`9_47M3RX-2k>_llm3Zmw%xAQ=ml}m_Br{kVwF;
z5v8px6E2`Qh4A-6_{+`OV&L9*QMT^#H|-hkYYgPik&!h}qhAEhZm?_S4=sZlN(jC=
zu+Qy+hrYZO!bz!7k4ij%)A%Ry2g-<MKmG;=Eg~`!y2F!TNq`B*2ZqYfQ2bg$bTwO2
z(jmypZYnCSj8(-xw*BkAqeg)^X=S`-zxY*@SLh$~JP5lo#0bD$1JIs?!;B(q#UM3P
zQfh&uR8thHV3KVqN;)#|RCmAyo$tNwudAWq2uK$ktH<x!0Komvc5N&msti;B1+wSo
zTc7=yHWNC@OtMpBHXsI^O5>)!2}GMx3ghB7sPE|&q?h3rGg@n={~yNQGAyb#3KvF^
zR!~|}q+5`X5&;1L>6BEE?hX-9KtQ^c6lsSJ=}@}6kq!}QNr`U_zUQ3ld_BKVhMB!*
z_I{qV?phIYvT0vFOb}0XLl#{v%sPtlcwP5cCy$`UBro~^QyF3TNJm-Gjr6yh{kdUP
zhTiWdJI>>ygR^*Sc>`qhyswyE;;UN|v9j>VB((Px#ta(?sf-hc1%KCL=&(YB^Nv5W
z($r)4p$@k8&VlnBl(*QQC?}VK#*OYUqaHPYD0{n}D}wtTT{sTo+vj8b#jky<`nyC^
zaSD2K?j^0#uyzq!@NRpX9tQal(o$G(o7xe+95wKj%Mv^<RJ`Z;cS#p}-zio24UT@x
zcKnL;-}ljykNxvx#~-8D-}-r-Z|#*WTQvTQ=v~%+@)6_j>@9TSq7}(qkSV6ycsxTv
zk(YHH<8`IG%lHuyNV4lNe~fF;JBj{HYCyS<la218OJj0lr5Kl&bp0i_S-VwSeXOa_
zy7z+{rTc5wyoI#qGahv_<V<^LOtx}RuqELJRuqX^7z-u-ZhmB0B-H(7jK$mdRcA^K
zuCEu{A~s2XFL=&#NIh;@jDIfYdN}?L%}JCmH=Ht`gG2+z_+0drD;2fm>kGWo(wF=l
zHc>srRqa=3ZsPj-(BJW^L63Yt-K?U0%R-%HrrbyBtXxGb@<91!A#riw-D_x}m>LnP
zOW5(u0grH_A{>!_PCp^P``75<Uayy_3nTfHk}LXs0pSNt-KGyy4_EJ}9(OCaxV#Hs
zq@Ge+j7&ckH*8Ff-1W%USnEk@mG#mkiQfx)i;ka+hK+OF_-USmJ?!+ghXKv4oW)}G
zk--<=yV3+4Upnv?W6ylNg`P}D_2v6$KOLQ+#2Fp^1!o%_-Su<N@&56mS3CKgEy`q+
z-I{AHGl;z9S4*piTBChITNwfN&q*Zj-OMA!JcXV1i!p<+U%icB%HhTg;&|i9pR2Zz
z`xPgANUNttZFNLggEMC5h6Jix__5QxKVvI87M3Gr>ZxlA2O)j~d9P)aR_h*V^{CuJ
z1@CqdPQmWg8w*@!1+lopj;nI+7K4;eBPTjpx!<38|K_G%YU|q-&w*)_i*jZUGu%If
zmDsxM&?<XX-XL!ly}d$yj3TtB8Wiz~OW56zT63AlTli*n;fmtB1!1XFYX`?;XI%OG
zVeEkL+da~C6Ww@-Y2o^L%GXV9^9#y~63L-!Epu_{17^te9TYqtdRAbY0Z7P4Lj=fl
zWo2bh`$k%EL)7tnQ@{mq;s4^<a*JT}_M7h&A3%W$T1&vKMSzQjt_C(s#=_yYfbc#L
zSb%B~a}6}B)zt$cw6sQG9RH)}`>n`zYX&NKQ)A<NeGqQ`8o|C{r7oP}Z#yT{3p+>y
zGJFU^SYVTT9`a)jO&A6Fc+^HJ>U9b=hAObhO-;OH@-JU5WynNxb8~|}d6}m{HWLys
z+F(A}$>G-4>MCR3O-jnw+jHNbITksZ^MyhKJl+tWbN8+xZ1l*XUq~lyn<#;9DzFK#
z6YU~LYr-2t^amKC!7u+w%ojPK!TZ9i!*X8mP72=}+qo;qWBDY(%Qv6do~)^jd?a`t
zL!?~N`D0{$HH^oJ<HWmuUH2dVqo<ysk_)LJ+{T@R%WkJ<XF&98zn>H+*A_vtJbNou
z(GxvxAA&g?Mr^HdNVci=h7?8Xc3R2DDj<pb_3b_DDL3Rh!h7CtLaW8V6itO$8`tWT
zip!zAYdJZum-oGT`FkIQ8}R4%z#$HPd~LS4b&h#hrKdg9ZqWYsgkD^D0!*0J_gKp$
zXM4HFI{Q`T-sRs?<^|33Z=;N%DyCsv{s&4W*4$O9e?QJK_~`t!)zHqDdXh78icXjO
zb-A1D#znMz{s_l2;|gBPARiQJnlusu4TSuYajVd%{J@@>pI=-`Gs6PD>_k~9(5q6h
z1aPaq<rXqYH)Hnd<g~rTp4OAAuN|AHGylbWWza(3zdBf$PG)1cNsXJHXJIAg<M)Wd
zsC407n~eOVIEe|KlA~P7vf$j2n2!TYpSufOt65bw(ce#v26c7%T?oBOVXU8!++ZQb
zH?Up}_v}CUqW7-NkltCDDxdEuTf~;`>qj}2e$~A!bicnosQ)$TPIK#Kzd_VTE?=#Z
zKacF%o7PK$Uz{GwXIcIF;3l(VQe4*j;SNot9?NT&cjYPJtoi)2W9eSE*y+AB_t2ug
zrvGRj+bTy-=QLAmOY3{2=8)F@w4C(xSS*GX{ayy+R+FdE4FmP*>Q#@QWwou^T%^Ac
zftcR*GN{YhRbl<gQcFgIGjpR%b*>a!p5^g_v*nIBU;G~L<uQ$t66BLCF3}SbCtPfe
zDuhj-)P)Pp=O(rZure=G+VJd%b(!2y8$USfF{LY?+9>&`8<H(hgkt`jSZ=TWlg3bp
z7$ZrYl|(kTqW<!?aWXo@k~BZNz@BRH%OKSl`G=BIFRim>xcLiJo+#m|TE$GL(HvC$
ztoad7FBe9^I!7P8qZ;6yV&AKNIt*N1C*8L$MT=efUGz>llMoS}406ZNlTdsIzP|$Q
z#RUTH+TlItr7t`F8j9;P@UAA>GAkD3wfh!){rs-IFKD-TzLS4;Pw#2Eo_?ff4pWGT
ziV{-~?Zq{5rd?YXy{J4E=3Ezbw6yzd{ubOLyFD#^d=6o+{1_-K7F*<`WV}x9p`vVH
zlWbpJf&FP#2kV~s{EgPQ75%9HF3Ra^+c*BL3)5i`DFmQPp>EZ8(i%`<Aji|=;(l6D
z)5RETr=P<OOeEr%6Y>Xe1r`qw)zp0Sh8Ba(%cbVsHROxgS-#q7A@N7J`Xr(up9t$)
zvVddj*(nq>M?07AH=SX%De|&Rj}o#Nq0pY6pGSgIyu2y67>(?eK3k6=RiM(ekIK~n
z@|`ZcMj{WwF7KncxR<39$eHjwe0=9HL<?DJ*<Zoq$I)$cy=ze}_~60#kn-gTO)o%A
z8V4$|s3>mW20;)wIW&(_iNkMrc>s;pOQ3E-Dy<3&LGN6@zNUqujWOGJ`O8NEyK}a4
zu&^NC2?78>`(g>p>aH3o$`}U8Ha{z3WW^##dy$^bitpk5$=`#_gEp2CFSGoldbYam
zeYEiR(?HB4csye#bQzf=_!xI(ml0;Hbu-fVr49mw8Nw(Q30Eg|sT<d053{xNDyle&
zsWGi3-I>H*1o-{*^PBiCB%i(9M#-x|`%X+`x>i<K+_~egEXn6(^}xT9_58PuTrA3K
zD~x-x?_iY&;>To<T9|GI1#ZWyu~VCzo%mw~Aul#wNbJSJ3YHYSnwx69fWpMQENXH;
z@XV<Ei=HvVZj`xWdJt!te&$O5OysKagPU{@f4Ga`qweExa8I`I+{>9A?vXAS=^;!0
z9F@GOVKJ6+Rux6x!=Btfmi&GRL&!OO!c(5g_hF-4lst`a)bP-p!oAtk!@Gr&E>21T
z_gZAiGcvSG{C4{@9t+7m)GN((W${}b=OByN#dUfw#e9Qmvfm~?%=?#J`J`M_o4tXO
zaGA!7><7F@1xz&dJ5iDG%!y}Z3)hV*hVacX1hdQ~5+w2ryLmqUoWnLtId!K>=>MFK
zs^>5Nx6ECfxU0BB@pcL3^53^gdw=(Dkl<Ij6GaK{Rxd5zJnpr=71}CvvWv^c#Djx1
zNiwXbJt6Scg`h_=W@6{g-5ykxQRm$-6;i6l4;@uHhMn#0#l#nygAltBN!72OT*qrw
z;lyHKjNhU?z8Nd6utXcTdyU7NbUP|Wg2~aTO#cbt`<ftZt8=@%CN}3xcZq-6S(M6h
zBN9c~k5uY-S_Ga(IUP;W8@qTR_g_E@{_d|Iu8Lkv3>Bl4k=gv)9DJt4!F>QJf}}<O
zfv13}I=ktL8Lubm?55Z0P8;B;DgufyT*fG`TKfbI_ww>Ci$#upfK~+dJfP?goY-Kq
zA=%#81WE36jccKhK%stJCn*Hn2s-_YaOeet#EjeX%Ri->kDP6Uz491QSdV?<hF-Cu
zWZRe*!Lw?oHGr5YZr!5s>>9t#rdw$TcP5|~pwa|wD3;CugWZ+cO)EZfBdc$3(O~y?
zjm<79vV&>^Xg#BlA0Vg%ioVmh7i0nZXRoJPv5;?Phk#HUw_my0q(-)N`*GjqMhR5r
zq@aH}3gw>(3=896V%m0MqfBd>3<jDVd8@+khDz;3P_cUKTNoG^w0@YdG70HP6*b6r
zsd9w?w%W6=4{lzb$z&s(g0_kZa(FCAi#-I1ebxhTjub4QKlAeP!oK~rVb?kU?ed<s
zQ|;>QH3<Q(O*2zPpr`2dUzZmnkQD>@BGYN#u2jNafBBmIX}@pCr{G?h%kmp*zpPCf
z*=^t)8TBx+u?<5&Pb_=13QLCwrIjhb<478ztgH-VD8Ao54Vb<4^#ybXP-XD4P&z_y
zrkbgOEIvYtVc1BlFPMh}R;<j-j=%=xwU01x2AN@78zX4%0PcqXlKSnNT$&0g!UFIy
zeE2|0O`Qtl0<`(yhso{H5rY`Thw#Pu`CUs^SY2NyCnrygiTMNhv(P!#ly6uQ9HF0^
z7?%czZ<finRr~<8LAz#0ywV$&@;`loWt}XeBf2#qwb<?gWX11SWc6$_N8Om!zT6BF
za(|jNNo-`K9g4WKQ4(bxCumOPj@Q+xoTJA&s?cp>PGl17<T$CS5nxpoCu=uYQI@tC
z$3fcCO*ZktzA7jvo^|Wm`{Qm!`Y8I0j54Vb*%>DBP!{IM&8zMv0s%dlTdr1{`p^7!
z7u%C*I{EFBhfJbFdF+F<*+qnj+NH?`%$j|Sodx=4PtdWu7r4ZYK4qwRm?>QkTWtP)
zGIzJ<jFX|hhm8>5ml2KS@rWnec*a@oz>yN4_LF0x6%K!~f`~TeHiazT_MXLpPyN4H
z8ot-7QYqlBUM<u>lYp(;Sv^ub$!64H;TmU>OSI5^bgsl?Zy!fls)pz~w${QTPBXIj
z!|TRzeUiH(Za*-xj6zNO;&<Bhs12QLqS|tAra1UHO-6c;D?JeCM2)bOTs?_WnF+w&
z%WwWBp_yU-)ud#k`W%xcT=j)kXN{cK!&s6h*$(a<o1W+P)7fQ8^)%&?8qV4vPO&Qo
zswtQ&YixaL(P2FfHc5kSP$t{UK%4)M#6V7siHw99Rrg+0rKTEynmAO-$k;eDK3-E-
zm%{q4aG6d-YU%~F6@b4b#KF*e;9y{a*&$Tg-R<p|czE#v#ZUy#o^85<1pm7z3|xW!
z;Sd=s18)b?SOfB};@i*;Jlts}keBb_4*^vqJYJfZAXAG0HruSI$e$xWQpouFmGA!j
z(&7PB&XLPI1H}&NU=9LC1znKt0&&ivU#q3BpAs9p4^SphD%rKQo=^vTPp`af1PO_-
zoD2d1)=C;25>mS~2X`v|E|A?Ilih?TLz4qmqzA7K@;Y8tyX`C_+SaeFuDU|#18`}b
zoWYQ<2sxOk5fN~s9)NBXZYki8n1qF=Ey{a8a7nmzi|Leu4-7sGz|bJF8Pxy3;YE;(
z2AmdHv_PJ^*U4Jg&)Pa|ZcF~1e>+(mqKin4KrRa5u=sIv+?VCJjXGTF!qb5OSi=0Y
z9{Zqg&!0Sfngo3oG%Fmy$RM@q5EbrJS_U>vXhH;dc>Vy!2~Qv-1_NgUOt}F`GLox$
zgNgy*QB*?0ugcf~v)=>hZSX&^BKXsTkV_sU!?Ln4P)rX(Ea9yti-;h9^9zI;B1Qls
zz3FB84QV)l2ept(ULw1-;}Lqj>QDGiAgB~pJz=-)=ktd8M+TSQg^xnl?5sg$_c?r%
z)6*H?j({~dq`0h%r`m%N^s!0Y#@I$yz#i>d1GU;PI8t*56gNi)ub`WRnke7)iV=tQ
zi;Ah+MvxH-+Jlq#)_BPGgMrlso;&^#5NA{fSd^LB2VP4J1%<GoQ{ap8x<24uzg&6e
zM%DE7H`i|3kin1yZ}2d9fYNGr*8wrYa{6G}u=rjpba`_oG)QBo%LbXz?>87!b_p~B
z0`BnsApDJ5W{H)p{2KoORDPlt$BKzPF7VC622zo)O(RV3&9JyTRrI2KOy4q`y37Cr
ziaQlRd;yxXFXwysFlGPye=V%jwbBV;5DEf7SJkNm(HkbpPLXUECqE)j@mN97qR?=C
z3oHZ??L9r}1=Z^Lq}(stfluYPnXde&Iss>zC>#~MIfOf6-ngM&kaIS7wLTjE9GCFc
ztzy_Djwiup!FcXm-}J97G(#QRDY&+shcqmJDRX9K202I%Xix%t{Hv&_phmxK1o+)$
z1x()iLyW(A$Z;-71(7-S<^23y!Ew-GUdIV7-?{}vFR)e2xUVL|m?G%hu@q}n5hLJ+
z1=JaQscHoUB5)+Cdj|*b-4_MNR{9_-U}nL#(*L0aK=E+_2Scgzx<>0bK!nIl+K$Q5
z^WCI^iqeu2UA<@_$Pig{a(CwSmdV%+A1O>HvM4_R1tM}fJ0!yYfklJjf!!S3HsBCF
zfqev$Q9XgN47+d_PKg<n5vXtccjq^%0)|UNM;Go-0+@D|dgeg#-mXCvD=QO|-3jGi
z*n9o_7KO%_Z8C_UPEG)gVFO$kr>CbdOg)q<E;+gGMHBkrRa-eI?K2=cy>t8VjmuZw
zE}NXxrlDz2tk20YgN1BY-tX@qIT_g!0(=tL17@T~mSY9h>ZE{%D9q+@cor56nE6>U
zX%?gtIq2)_LtvUmT?&`Wx#yn90QQEpPNjeS&`0R!VM&DD5%J{<p*};l@}4?&!<|73
zUh(f1<yG3^%S=U6WZHSb?R)JAvysA-92etFrzegd4O7-F>pfZBH?Vh@Vurq?q;<QD
z=`iOxL~Ad$1UuBx7A%@tVYjGMXc_BN36M?~)~VBXB{GYCTAH3kyET7GToR??MgBqi
z2a`tgszqp4aOHc(KY*9L;4>ibonOuPU{*&b>~E7jx`yiM_gE|~`mfL3yQlQV2~SUT
zN%22h7Ke6E6lFv3svymLnb8k{tR;^&^lE}wik9c4yd;~wmFk#M^;Mosf)IW%YPos-
zUFlKN+<ByZEf1%@wzUXelUC2Gl($>dU9&E7oEG(V<?g~u#M>CB(*yVY;_qw<u}sV7
zCsgOw5QaTiDcYK*DU3(Y@FW^x6)hm@#o6uNEq&x@!f&E|tbsk<K}$oOx{K>-+Ur#9
zsN-C(^q@iorOfYhX7?DsxtvjdyHEs)xN6+sjH}25zF^KsiO71dDT{!A_+9M8E}?$;
zvDX%@ujXty{uu4Ur3{zH;4VmiL9{z;;^^=cE8LwGLQ)Zky`3F<UE_PCezv7B`O6M;
z5~6@B?e^qrSjxx*os#c^!ebxYO4$`9_glf~3aI@SS1T-@E0w3MI*|~jo3F#q$+^~1
zU0bVL`Ehnf*#&tKz(O`8qo~OL@u}$99|9vbI=W_P{g97FYimdVhY_kF#mJOGB<;?|
zR;I;<9MK2{Y2fDm{#m1)eF;va5U!dZ^{|DNlyKMlu&J0@!}$f;(o%3_z_p09$%=ZP
zpP&5&NgO+|oQ;hQ!1TzOY~<uM)>C{kAJKi&;EINI1?~mlkbo^fCMg4dlBa=C$cB~d
z+0<7<sIOrgfguzfNMDq$E;1Sy=q>ojfMDY1;Q<pb?1t47GkktH|AAI^GU)?(dNre<
zlCk3B)GE5ez#vsP20jUx`&Ne>PYw4p+w4o^7_|UA(-3xWb_fgW0vgFf=JC)KjN4$M
zhgc!#ZJ{jShj_`NqI-4vv(Q2Seu#86OQkEHi?{$12*_h^s;DTW*flmbg4F_;mYj@?
z$A}S|i4yvU59@n$A|b*OgfXz1WW!ww8wm@G#qLrEWY_H;93XAxKlh#4zgFCsCq7Yt
zGqY5fRUy4~YhdTwzwcth9GFP(WuHyWo__@Z6DSkkZxK+?g272XfyW%w-n*wPu}I$^
zET~f;$c2sQ^vW)*>)>-g1)ms5H{9U+92``s`9Xz`KM0N;aJfJwf;1fKTR}_!jEH~<
zabQ)1N`;D;n9u9<2+6d<w`e`{9<umufQb=mE;!4_0L(&?Utysw{0)3hDG+@KT6K+b
zsD_Xmg4db8h6en-+wml*or~)mwzfZAp2wt5ep<&6jgK5GM)25OMn%64E{|x><4f#P
zpUr@Zl(f?G*daUq@G6818+U?^Bdd&b5IM#iJYG0!85wlhFP==hv4RT=I8V4FeiN_b
zmyOTxy@6&1$$~-sk->lW$#qDOY%j+R!@PWB6yY_EdLLw5KyPmx8xL716;@U`aAn}P
zA>@AQzC4ACgZ|$WH%DuIAUrvw7^%U506>R?d8olC$^NxbD2<_2yqt3oAI|^0(dXAM
zi(`OxSkebbDJVP_%a>MHA%6a%0Ai+l<KpAnNG&bCZ+Tw6FsV^@7z~Hijn~<`dX8kU
z_9_1&+fvwJzyxH&uiph*i%htRnX-aHFXR~5)~X1ECN$tEAx1E<5|b4JUC6z6KI!Qi
zmQT{@D4S@19(AkgWGn2l%8j;?WWtN3m44HaNQ?J0<s%pI%|-)Gu~79K$#quB?Vi{4
za!M;JxK$>u>S*~<nqp{QMg}YRI^{IFsuMi=%=h$Se>=t2+FF-zFaM3~$F*MZ=&Qav
zE3aT^_d`X%|4N>czc?w`STgf$Y?<qldV74C+4p`e8fA6Xjd3OWr1h3MC7r&ukaGRW
zIMpf!8m?+;Z#~I~FpO!*miw!5!L*}^uJNtGt62N1<)-nx@#fpBSAKfBd2y=OMcf<7
z@$(xP{BCd`Z8s&&-0vV*ik1@5{o;9hIPP81r%TCeYER4bOZ>3MFnAi8vNB>W^t9MH
zGUoO@)(|#kNm|XqJ*8#&10xy=0#vWD2_jXoL?ry0DF^C>?-7M(*AEyxQ5*f`_xMwo
zX2$-PoA{yfo(jRdk5xVjwS@oZsB7|jY)v`q`c=d0ZalyALsjM^<|LE!H%q;5a_>p9
z#?UgRwptg+#kHl|ZPND8&hC>cJ?PQH@F%czq~h<?oH5uXNEPqKMiBNIU=!5*{aKVr
z`m-@3EXw<>N}$-eyTttOX^MC2!n+*m53VJMW&}0K%+r20n%`A4-t~fN#Mx56(e?U#
z%^}=^K%J`5OaZc%7#}|d%S+gMoPQUijaa2mgEDj?v()F?82;D6$^g=`?|r+M%{B^3
z0UpQy-~`GKNcd6iG@^NCtLp265jtE`U7dLeWd1xxvWFX&Z9PgOJ37gBaxe5FVC-{T
z7KX+mkMqA*urc&<ty_)s*zw9sBmpEc`7)vd+!h92$HtoOKuZh`7P>rF`gdS+FOby<
z{3qmU#5nwi*4ro?-4JfvH}@qm`Um=>JbKmiU-gO7D34OnKbvRe;x!v7)pLPu^mVwZ
zGmm(0yd|GW43RhX+cQYdLpoYqPc2MRqefmMUdXDXoA84w;QA$xXL$T0mfQ&iAE!L)
zP1YD<!PZ|##947{VW90+C%ya9f4cJK1rk(D=GgkReuq;d%+O4KLCUthMj`DZc1)X2
z@Nzq=v*|b{hb}Kp5WZ1<MBu%je$5lCMB<+{rg0+Eyu`%|hcJWQmXJXOvggb7%jTRr
zxFq2@&HU<O3qRhH&haZvoS^Df6t0{4{sZ%$3i20!a5KeiB^w4eL>w82Wk!$=2sJ00
zuw17jBa(_%ua85QLcIIj;n|aHMNdCcpdo-h<k@Y(8<mqYMT9$}jc{`M__Tb}FMI4S
zkFCmlh9lwiElLKu&l889w?wMigTn*HAEi7Gy)k%gz)f{`;8wk`^M<$ZEjo_kp_$`Y
zakbs1q;?^t{0BH4;nMC{*pBr{-#gUi$K&Jk?%iiieyhi+Z028EppooOPbk=*ysJYV
z@|}^uAD@uH<rv@pzC!R)K>qhtj`G&vs!!WHkLnAtjBzpNqERT(2;T|)l~Z_e*I6(q
zm*`9MYX`Ve{c+sFVHxj%?RBXOeATy&ItwE&FQ`iQ39@YpC!h5<IBtCq_pVoImnQxW
z8eeCvd;hMJ{^R+pGxw1=7#kDQPe8FE@*uF~6!tq{-e6qBn#CRj)gFZ6{d>CLZQaIK
zQ4oj%>n_VPa3Y>VyA0+QQ5X|4@(zx{ux_Q?(doa}4w_^BlRS(h_?*_b$NgcrgCfS|
za&MPxb<q0ttZ(SX)%Z9Ly)P=cAZz?F3u;lA*$Po7GI7)b4ojf!pt^7J)Xl9@Djf?K
zmrBsd4EQt%kxhK}n>c%;I;{08as8XETA1JtVA7_=Mxp-nK;*v-8O5!0?wc=6QkbvI
zC@I-RhFgbG>XciIG@S1jA_rQj7CY1F{zJ%79%Wzd1?vDk0A>JT1u&2zAvLuDx^?J>
zV5SIYeHhu;e#bYQW@b0R;4Yu7S~7Bb&VM`3bTiDL`U8!-)0#ti!w)#*ZqQA@2DDna
zUD0s10nRVbazY;fPjmV`UQC{sxz_~C0Ms#lk6*v8Go`&;EX?o@&^=Y1Yx>Q2oZdLn
zA{T({E`ZJi%m*`|h=MV;@t{Zb_y6IhmwX#}|3im)2>AyFU}#E2)tgVFBy%Q_p(@ut
z$>yxFiiOf&Z#REh?Bhnhdw<}r#^&R@oMJOt?(>^YfkI;X1_+|b%pzHL*D{O34xNo&
z{KH`9fZDb)Z7(IQd_I|!^{MPlH5Tb*C1DpGUzo5tyM;ziOrxx#(i2apA+xKM??Ur}
zYYZzW;%0KhB}p*xUGue<un)#>^;Z7E)x;r=q2ujRpQ=_Sy1UI+Iaf54>OAVgBifnw
ziSf&wg(rjKLl*F7uo|d0v-_VOD-2^CJ-MrCS-V7DeZPAtAaQgoe<-QeZZbRU8&5cg
zeg0K<DwfXV9!g~cy?_faDGt9<vhDcN%0Q(kK`@J^uV04qi{9NTRB*DWxmlE45{(cu
zsM@10;^*fDc~!3oW@rBs^c4dAw^rFT_xqTZ($um4BGd^a5!_wz?RdA{4F(>>AL=6%
zhBgDFlb#M2_$qUJOWv#ej*+-x^p!o~H=RPUXXyI#Ns988WSPd~@Vop9UccK#i5l6T
z!$1WHtCD&8v>U)_sCAI24S-l+>VR2euyb%eE1`Sv-~*QigjGQC4^HIs)l_eg*N_1Q
z0)sSSAn%6R8Wglhqb-a91K;+`5m3{{gHIg{+0h+@R8(HzG^+(<#&z0W+7cCc8%Rl^
z8|772YI$9m?e8zLUu=bEQ;2$j7;AcVR+NFk1b|$)8Ogx7C%gv&AS9IxwzPz&S)k?<
z+N#|fgWCXb->Id(oBY80CWk3xzk+cx8U?y*%gal&pwNfMBMjti1J}N#<#GHqWa37#
zVGB6XY9N=sbsSIv@WVa&h(zqXFU}!Je7Gl|Bl9v9sm)~3JGHZ~?*i&G2#G3#w2aYK
zbMB9Re%tYA(jWx`bB@UC6CU<l1On0;kdow5lh7U$RYYQ8Af#_myUkr`>xK!_&<DV$
zi8LbL=jH~}o({QAVpD48zx8GAf{B&&Z;!3l5GckWDg(mGp`kZ{uOy@x49~T|^dU9p
za1Q#AVl|Yl2<k>iZGs6a{Cs>c1-a3RuR`kxR!u*|AwbiBnB5MQithLWHx&$#c7|JT
zGv*O21u*0UfIoNy1wn_$Lk24enDNY^>jNzWQd9_5yNrw_SZ~0oXaN8c#eLY@|Nmfv
zpjU~Rhp|V9`uc|uoVE4^p!e1jC%b>#rS<oBFn-hn)<ajA@C2oFnRb5BOMvfT6@ZHL
z493w7z}F8e8x{crCZgJPi;9Sd*RVMd(yx%RhClrho&FbVirys?RxqFi@T;Eytryt=
zyaoEQn)QMj0QP@`J3^5SUWAZhsB{%deu1t6M!l%!swMJSgK-s|9S_9oT!zhXu`V6$
z{{?0TfJ6#1G7o50;Fz#+e0_b96YW6%5q|sr3Z!%+p)Kb(qc4DA5rZZ!8p5XrMg1FC
z1}JIq$wH;Fhek$6;d`iID~3Aea_#$62lEV~3TDt?P|-xSGvbF$s-QEAUL6huK|ty}
zB!)ni)@RQvAVF)e9OGymhtP6G&8@eft_K`b81(rzQf_d~!#_X@dj0k;lvhFp++?Ak
z?t8uv{cCwj@I0&T{|;E}M0Sog(}6fgI;r=#XI>xb9kZO2zw^`1KZn^XfC~To(hc^k
zF>aPA7IEZd=QH&!5;C>m+5#zjD#QkZZWQi08k%|N=k;KO3m7f4)7N$Xc)WISD0%rp
zT>NdshX?kbJ)@xk134{(^e#ss2fJitF|<N!HMC@D+WldE1<e!M3fO(tfBk~+cL0p&
z@jk+2!PIT%HRyt;4VC|&;K$8tqXkGVD~{8k9?-K6aS$Ft`*IB(y?W9D=I26GfeH)1
zk#wTpCFyJ@L<%bpm_sPy)igAy0Ih|a9O)f_C1H7GXv~HH@JIDrwJ3i<N^fQvHMJN|
zf*1KC7U~=V{QR0v{;Vx7r7Vn(Yr$Y97%00ej*Wu@o)SQ~_dU)4)mS!21aI@RC)3Vj
zdYzJ7Na*wq-O};{7EVsv;+%tbI7cq7$Z{DbmPNs3><?>E7$jgwi(eL`+n)|zouz=N
zRJc_OZhdIJf$)R+qaV;WFfMx^OqfD=3EY@a1RzJb3q36A?btb-&(~)4tSR_ZU7f(S
z0;1e6H@&^RmvN3DS_b-gMj;`c>><$0h``A4lz<dJ5}3S2foGIg5;gmStt!(%yh>5<
z-74+BMa9e(AlPS>cJt6SQ;=YbMkvV3Tbr3d!r%ZbB*H{98%^MJ<I>R7G_9CQ*2l-u
zJSvEZkI&A?0FLonTbn6Jo&mFVN{}xc!@&w}x$9k*G!#LKjE9NYOtQP;T{?(yRCc#i
z>ZJZrqWp=bVrizr6SMNuF<Ofq&U8U`YQ}Pn8U)Mlujm~sF-244bcy8RM@{ztZKwYz
zVW!S}fk>3<@vYEK7T!}VJd7k%5RqX2jBkb&DJ_TfMS=E!%9)IvD{-CfMSF)(=n2c+
z?*=L)##s;J<0WpyxaN5(3dGTFd0X7tfBLvGbzF*5hCEkLJW)Ep?BgqZkK1&-ol_5A
zIf&BioXxWuju=V~c;4k;<B{VFU+-NtCKIo6A6$L>;pr)RR$cSGK=nL5)`Rg(IVl>h
zx!xx<k?sp$J_O)JeRFkQPBd6dG$5?_?BytEll<#ekGE>Na&R)|6eq6rJb(7>w@0DE
zd=t3bffAXOgDlTflo-y{bttMVcJ2+h<u+eUG{w?JjO~0K8uB$K9eR@$(uzWPj=C9g
z6TeJH=1o)7w}!cjU&~7xm{`BA{d)QS*?QOEV&Rs{x>Po)y_qs=2m@oq#XzwlrC~gz
zaY&oV<gVjUFWie(Y*84nGYs*+R`aS7YoTdPHL%OAR;|`khnCu0PtEfIFQ0o*&`O8j
z!NcVW{v8ch^QbV1>`h7%PCAEOgx|G&;SHw*P3wiETmrm0?SQ8D3dB66`|IQk%tKn=
z4zpU=L~xXp)gIh1Kb~P`S{l%PX-a^`Q#J5Lm&wv-FONH-k7fA&?(M`Z=71rJS$UqW
z0hU8icBSjI(KRyILD!cf4Z2tQHq$0PBncTX@C_NLd}^JSz$|}@d$ZGo&tQ?Br;kNH
z3LiSy-i$krj>k!ysm^OCTk$tp=y0hzOgG)lv_D5Ey$Z_qvaE|}ud;|7CM9Xgws&Oj
zBVcvWQ)llhJq*w-#u{YxivW6t+Zp$UmpE$dq>AAZbdrq8138Q`d#2<&KO;0{5%>!d
zW=#tY@w5J9%`!6UuL*QDJYo8ZLVO?Wub|R{E*B!FI9XY7aB$Y=8g2L?ZYHD{Tvnh0
zh8kXW6z0RRdY;*Ee}wL{q@)B~J`i66f3n453QWFVGYns&^Dd7}7h1i4|9)G@?L{eC
zVf3vxmkX57)MS5}gg>$pGNrAe3?bzbKXR_yK6k-7UTk^-#x_W_@jI+W#=ZbPhg}Zk
zwUk@l5AXB6RALD-ew(BScfjY^O%B-pEAJl#luVIN9W;=K1nA?AEYywKErI~~a?BX8
z6Wx6mqOQ$^BqT^-kV3_mf`aprLNDjjBl}p{a!Af0HdqB~!rj^)8*uhQtDPwf`Hp+?
z9O%BtLA4>pK-IyhunzM#8i-h`hE>1=w%C5Vyz-yY_GJ0Dq*SJ-rHLJ}Jb>&;28Pz5
z`Dx-Ah`0=uQUz^1jNk_26YSTWowD;78<0D;+t$m=#|O0eF?<Rk#lV*X0I^zh{|}qs
zH;7jrfI0_0Xee49LbwuCA_yoxa&jI376|-5%t^6^c%;$&9{$<i5Lf^qOTZ8T_t*dx
z8c<rnEm2^Bj*JAlRI$0WRj|(Zlkbmfq8e55kehk{ERfy(JxKhip5Aw>X}#<q?S!<-
zEz}hha4*vy_MF%%g0G;WdqM&mY}FlIU5=+5dWaF&%|#E!jfjI=xV*uo0A+#SAHYcU
ze*8=U0@!?z?j-x$^Kn2lp=bm)2YiXZtXTL*0G|luBjC3lFhb^199p4}($<zu6i#Ew
zi2Ni$>d{3Cv~N^{jdJhoY{S<xiOY?mvYb-D0i^HrA;l14BYgg#o@V_4RJ_%TVL~94
zI)G?Q^3c}p?QK}IIkd}i;PkDv<RDcC`N6`(J)~j;j)fr_=4moPDi+iZKvqSW&OvcV
z4f`Vyypym2KusejC%5793Z@ssegxMHO!}GmTC7J6EFK4p9<n*#UK#7Ex7~VvxqD3d
zCKk?{*+Ml11#Ujnwxrj|`E3ZPjL`qVqYWEQv3Ai_h#Sc>FH#`RC@yY=#~X%jf_r7D
z3r>?x4m6-To^`dX7Udq70?-~u#!{FD1Oib2TD7~^%Ji^9tyuxaxqQEAm;clDyC!Lf
zl6<@V%^@9PBq1e*BLj9r5%TNECpTJuh9VW{vX0)~(KRQiEfi&Ccby)i*nC5)HHEA;
zuGXgv(Mx9-e2G00w=T=FX=0%G;iQrL=i(x*@bUD}tt*wFLrsCqsU2h(TCH1ToF|NU
z0eXJ(Vw)i?UhIi(?Mp&@8X9eyw6VX~ST&&yQ$?c|(Rtj7g)*IKho%WV&f?$A78E<l
zKahS~?_9BMSF;2Wh)g%ZnBK|IYhaq_z6aWQ7r#Vg9Du-4>yCl5^z1z@6KWZOurlr9
zwx@%uCoPZH{r%Lf9@2}8J4Fej`I{6!DyK_}<c))wK{<zJj$eZL@GuVv5?5HCN&a|}
zY<rWxuLm*bzVNnrWn2%P;cLuEl7Q14<I)MYGBV!TXJv)KUB?LQ{VRh3)++pi_dfOL
z#6)W{KNC+MW(aG%pz0>V2aG7Ho5#TnVKzaPam^X0MJ5s>kY0z)x!}tuspR8aE&Me3
z>0iH(xv9b{WvO25-L#gett`EMUfZ{EqgJb&1h3U<x#HJj^u0wr+JeE8K-#Z~vMRXr
zAtS=OLe=G`d7*D!i!;m9YpuK2{F$GLIu*1nB<=!VJsBZA9d?Lk$c^_nx9}$n)A5at
z?#y}@`0)*|yM@v$yiqk=s(G-tq%Ol=Hnhib^vX=UhDB0xFIz0+4Fi306IBLk(h9xy
zUC#H0W;So#cn0S4G-~z<l-fR9<$I3VyD(F4yrw<+HYjNvzm#h`7p?M|Hq~yJWu`!?
z6;VI>Df?7v=O*U<>M?m@b2tIJ=(||1R^(Rr_yvt(&dA{AXNgLUr1k5DvxCLm6dti*
zuTNgEC%-epvVMZWz+P<jbJ~<>?};dFY|O40YigxgYlLD*k9y#llzWajAzrenTr(vA
z45<4(rcc+Fw#M)0OHL7YW(_&!J&pSKP*W*YDQWnPU@>a)`S65Q+7LZniii5c^g;bB
zhQuBZ8IzhiF%|AK)o}T^DoG3lLfNmGaVo{P7R-}-fBbo|60)u*k*L}vA)Z&jt&=F)
zzEki??~yZag#udy?v--VQpwSc-9B``lT?B0PdXW>=Lx5_0@}Fv$ERm-tb1Q_XM$bG
z*cfJ2A;)<^xPfXUiY_qsLiP}!hm2rrv4WdFq<H;R!duzQ6X1MSD(UFxuDK3eE}CVj
zz&Suq2C|mPt}aVxwxIbwfLkr!7srhevetA|R0bU$wvrk_g=;bP{PJF&YgO0Oy!fTr
zAn0{kDVwPc9^IwvJQRL3cv~QII!F__jHKc@WckreL0)5OdI;%#HxTDt2ImXw>r;kb
zp{<X0e|1jpclm1k{;jR8z=A>6Paqc`#4$n!G{r+tt(1H)p+Pf9Nk!>XV|Qf>Iih`G
zk@jrAFdZ089w8wi@O{gF8L}vcd8o+v%pV=X0B}4kwYzc&0rJzo3TVKn|N7MhxE*m1
zBoj7P;GDqzPrgq{O7dtO7^c!E5SC##=acvmq_^Q(I=%mKHx<`m-6RGhA3Qc!MWei`
z&)#0HG?lT<yG5`}-9eFgET(q!_piZhQ})z|t>x^VQct*hj((-`X8q}<1`ke881sK>
zTR)SGp*}*)T|GA;y0tlGNL6~A5YfMW9KDgRkw_P=mn34@qRyp<+MIuM|FoO;6m9>?
z0)BMR#WjQc6@L5X$459p!Bs?_tT>zk1+R)CiYCb2whc|vwZaq-^Fd}Q{eRu}^2yu;
zPJC8Ou@l&xYjf<pJ0{<X-=FPoMc`l!1j)H6Yv*eZO39m($XLC5&W=~|oyDfbDB6{F
zL^4rT_ylDp0z#E@k|F?>meQ5n$>H@3YGJd^9kC$6XHaGDW3y3sqr9OOX5{Smh1P;I
zMU*=R@17AowIo^SpLdjGekO7vj(y<9XqNx=GJhK%U)8H)_IJ^1@2?S`=5LK9ixS1T
zV7KIs1<^`(33>Jvd(v?IA{h{0Xbcjk;j((JNt3p}LYr0@MPin}`Xez>lbH_v4-N^w
zfWNx<+mxF7=5DT3wehk~ev5X^K62lQ8gS-+;L0*aNB8r7Pt~5W_~+DdTl!31VFi1G
zA)Cyc9NV6SIU1K8(u|on&PY=iUAZQoForg(w;xf{^~xi;h;P%q9(eaHHN44zYq#CU
zf`*HU<8exlR!^z_`^6-W#A<*1VzF|=D{rusV`J1{LS{3=YM>*TBk6l5Le&w_`Ua^_
zwFoZ=6WkH$rwCIruMjdW=Gp4JX>akFG{(I7+i|D&E`9!|G{fi{DWE^dph(OQ9OS{h
zK{NRLXW;pfq7l*O1imi;5##Pj(vq*m{qcSiu+Vwcf5(#&oZ&P{%wZCAzfpN#rG!S{
z)dbx$?xG4UH?LSylvF{(8?|v%3wf4=HOo!;&uUeQDJ&kypYx=uKIa+2{Ygzjhh3lz
zGQ})&8;T#{s{*lY82X>I&{`;N)1{;|H|~bk4w>0xod2fG<k_VhV8Ht^CjG>-`Y(Q=
z_HPwOc3U-TO6pZq0{2F3>W6bU&FMi|IQh1F+42d_@`h8(_ecEFipAfWNQTD$x%N2u
z5j8$;>WYLKtB`_uN-bwleA4+D{YuKS1?C_H0`%hag9|k_x+ULL?}b{L)R>>qif`Rw
z1g>=pF=|l!8fGF>@Wt5P)6B6lOmo!TD<V`JA{^gw%oKn7kgC6^mWhgi=UqDG%9YTB
zF}ZZjhb?Q)GuKfjssB^%qWoWM9sjTyi3#gLgXdR#gtl*ZW-CESS!${nI|Y!o2qpLB
zT7%-m1h+Ld@X$TIy$4Q&|NgVzeg0}afy|R9W)6K&{fkik0~Ifye7Q<OT|NPIxu_yP
zrmi+<LS-}GhlDtJM}t;0RyGz&BWS|E`?JJ;f#PjL+j%u0VBEbGM(SD>YyC`xu<{on
zynKegE{_qV^7wxf;hHsQ!`gNQ_;^al&xhGVFOQ)b7Qz3I#c=Yf^f~kaaROA*;7mrM
zSaJ}+1Dy(#Uq3jP7L21`21&7>iTNoYZsBXQ&kp=)#YK!T&^b7;9<l6<rhgYNjR?d%
zjDMLm72Uleh%9w5gG%E=qFAmrtCtDTvn{NsJ(mgkqkfm(P&|JJAHRHIC4?(6)b>MS
z+aey;fDD;jPqqiM_WM+Pth(#sZv`LE;O)+&_ehAB6_6z+ni8Nc?&Rc-Wbzsci~#|w
z#!7eH&@tzj!Jeo^LO!dJsZ=7zh2gW_Q>@oM;aZg87oW#H$rK1xo;rQXFz3O{r8rbR
zw%`r_co0^caQLM~h0z?1SAf4l<w?Ij2h&1DnUd&`kAPQ!+LI40SG{`+@$vbDwwO$f
zO0-pSJ6^_KYuIyph^PPiN-3MkuPI_l^qnM+Vl4E!!iYc;SC6liem`s7F*HVY4}N(b
zMU|HM{^4-FNh#|z_tSYs{BFgk_a(W!wH?D877l)IAS;5(*nqm~E?rI^Uf^P!-~qVh
zSY>5{m+6&8oQ?=WNwa%;yV$;N7vN}4<MGtq5UUNaTz8W*cX*E5hPzLmUp|#lp`>gu
zz(S_ylvB-2H~vGJPE+?=8#|g}z&q{Vb{1i$T3N}4&L7?|lUwI#RBSpc)hO<WY7M=S
zQsp2@`PkBjI&3?f8J3NjaLp|0^jJ1CLl8TKPuR2iNmKw|_Q&J4)c5o>yo!q!YgA=H
zr5v#msu=RdpqQ00%t{s?%AHW@iw`s%`CukeDDDz)Pkw(_eYlv1nX7eki{zVb`snM|
zF@09Uwq=|-Je||RAG;JD{o!h4Qb_5Z=<pXz(mq){R_S<GMpQnm<t{&6t37y=Y}~0j
z<71lpT*p@j<BN-<d;KT7GEu$EPQRc;jq#IS<`2JJ?0vmJ^j`l_%;9}{GZT(m@k%DY
z>_Q(rTwZ+NzNbXw=W@gG=o9`eF>2i7ohLAj^D|MZ(frpEvw_d1DehTvB&RMl)^k^9
z0LQvr3i=(I*I+yY932A<&7F@9d2{;UK5qg=6FGpf>5=FDm<8nLH~%AqlNJ{jpy~Px
zh<jUWt3~-FbZTc17g~@r=h`?jHiqonKu`p;B|Pf9K<5pzsUZMrH@5uI<kHo)wK
z-TnQI(fldk9N>l475rd~XA%r+zjUK3T3P)D-T^XNmrT~d@f=1W5CvUOQj*m@QgGGT
z+1UYN03;s-sSL^gzbV9Z+KV8)I#zbSmE87TD|A8XxRBVgWb)hwDUN+2Dd}G{rW5nw
zL%WvStG3JK2Bjh&ghe1xF8vyJv9b&SI-uD-0?i5pZ?};qg24|2u1tGK!eMLn0+Mtf
zO3!zb5Rw=l!W4qU&<i&@QPB(FJs~e~2ztyI{%JTxWQ6O9$N5wQ<i<h+3)v*5pgC;;
zcyr9K4*3(%CzME}^->aTQV%2$peIlfI_e^Qj7Z^fSRW@y58(mP0@J``060Qw1d4x<
z&VUXE1g@YB1b`)`3NU~6cf$}YzeQM!RAzz>3;cvGj2Fn3edaLR1sD5r>9tV>33kJA
zkL}6926AQz9vM%&VX-Gf3nIHvfDZH_TNj`Y3IKm$MpQCH1w4N~2c0r96BcAUz-l~A
zdZ1i5#!3Rt``h!sMELj)@+)Rw?1pl#8jxJ>^Zq1Y$sg*U+a)0eEi24qP<-;lZLfzP
z2H+_J(*^LuDO@xh?Ci-PiUn$jkea$s*BK<s44}OPLKDPh(vp&B7#JiZBv7K7!5|9A
zQbsChL0`vo4sb8>QU=j3pghQtC;(%F9u+7U@Nq$A1J(SmWG+4cPk_qCQcMenedEH#
zXWa)BMrpto0jR71V(!Fa_@Ou5ncejA0{H3o+s*M+Hn=i90D<0`D3wMm;~D7Ic{qb%
z1!#baop5hR4o2ePFjx5d7vQzv7(+?9V52YuR2NU=PlUs~_sLMI6`u|aV1dg8C>IVk
zsPa!hp|)AQ&Y_9a_Jv3p0nh-0WN%VXu(5p<a<zeL8Xf?Q0C@s*ScdLCTtb)1zvk!n
z05F65<P{+Gz_6V|irpSq{;?4NJ*gWQ6lx$`e~*jdvHdSKwS(lwHDK&oAf;D3_Tp!N
z^b|Ax<=5^L%c=?5=;r{B!<7OKK)@g}5w2nm4h|3iU}LihyhRM>9MEh223?{M9PPBv
z0aTGTDE1(v7*TX=aB-qp?Lh(u^bo)tWbqGNmiDt}?ytkq4-XF&<>mE25)RnCG|9G0
zO)^*3hz07^s|D%Z2R;Gg|Mua=i?p$IkmS+hfP&bs8D`WhCt_L#zt1TA6@wgR@0S`Q
zSC2&kDG(AbbT0K{gqk`NR$tSlf1D)jA$7KJT0r{1mq-bkSLhxH2#`c(>o{cPGbL_g
z3I?|z!{y=XtyFb*)x-}bp^LMI3r6>Z1=!&)?+L2+|0HFPWI)mk1MXj@DP$AigCY*}
zxaArM^{S=mX<eFuY(?th$^S`YWKT&+OADQG*BUf<MSa)fO6&m|-|nQ*Q%qf*C^O*t
zZEm>kfzm60-vbZ`+>fGy0u|UG0F8u%=~z|^z^iNxz!ZqI4ks0`Ffmm|Mq&I}R7|TF
zo$~jSKV??7%Aqc-ixVB@s_+T_uG|m^O!$IEHs^K&t=aIYO9)-@lBZE<#>-?p>U-tR
zo{lGHQ8Rss6^Qn`SiD)RqOH)rJd3<VBPi3cGI>IbGi;t{a7SkCW-(LfyEa=uh_P_I
z6&^LzzYt%TKIYc1oM}_HLM5Pev$`Q11r`syD+?OU7Rw?Ox8^xH=0ykyi0)XYlZO8o
zWy%F_&AS)#FMgud(#z#=<d3@~YJCDfpv^Mvdgw|3y;-7=JZq5O+tcOe55=!K3!_Yq
ziKZ-yN|8;cx<)>uc<!NxnB9;O;$SR{!Z2D@WF2tZQT5km|0?&}J@Er0N7(FbV}is-
zp?5v%3auQAS6j}E38jOf&WJJM-oYr4B3&{HIkZrr_9`OO-0i`^>4}n+lSL#S_~_<+
zQ!JsAo*re|w6qX^c{5yfb%TE5{kzSK`O_4h$)IL7T*gi|Jl_=<4IxIMEol1?E2qxQ
zmN1Y24XTdZ^rLiRGvZ&jzni8}mmGUlA%v)v1335&J3ejFh`-Is%9uHAKAvBFCjJ(^
zN~&jSggwIRakkSc`3)?Dl|%aRdx7g8gsOLh4#N!Qmhl>VsY%F+O-ovSXc{gVF^lCb
z|E5omxYyol9h?)&lgX6G8`AKV(Ta^a$%1IMs9u?|L)U1vG&41!FD`Up^%_ECkcNEg
z_>p{CMCEAz_onxBQnMX$Q|wg3Je0XDsG(V^$An|Fd=c-fKUm}A58tn=**SiLOCe}%
z_S)TXX|+7b)9dqTrrYO?p}UlGtG#<a<Vy)Q(DLKr32t#Ha4zJju<|{w-x@X~;u@$$
zm1YF39u^}*2sIkda%&*Q+63#Vyh2^NdjJIqqlI7tVZ6}AH8$yJ{Vgr8h`~RS)B+qU
zyJTxIk4>c#By-t^1+`m9hu#~_+@X3_mTqn_a=5~HCt=>4iZ7_`jx$a&iP=eJN_JH4
zebd=CP9l!?ZO?;qY|TmgF=b|*m7n|xTqL*}dfWXix{D3gmb#$4Qd6R<$F<qlA5Gsk
zcb|q3-`Zqk{`m0T()(4_d<_qktTRb0fs><*Tj7;{DKupVd6jXv>MWgHI*9&re+9XG
zjcPSDt@Wcumu&Fy-Zp|1{Q_(VHFb5q0(p;xwbO=?`XNt*Pq&+(5CNgC7wo^tdIR!L
zNJ*K5RXrgNALcfEwwn@u21DQhb^(~g5yZHFn!^L)av$YuK#qQaZq?x0`pzVHfv4iP
zuSt4)U%=#y2x8zztsqGrjDsn`|0I8nsD8m4)zyMEKQ{l6=~sSt?HutJvHpB&w4aoe
z1mHY(E6h{hYo`r=G78ano&3s(k;|aqJ`q<?c~E;D%>zRYdG7Ks=m~thNERK|Y3J>}
z#U1jau(^#5k*;rnw`fU?$m9_XWtSFYl*(MJLK#~N3y0HkfsVdDSLfJX(*NaFpullm
zhJ{xAE-$Zo{Q=Y)*i#3;Ml6AyxHvy-faTuc)dp{?76iKk%uL8<j`z=efh+^L4Vy9N
z$M#`!i!LOpr*X~9&0PcN+o3#GD*ZMH8@{iUm!GbRNBv#8Z3K2m0Pr=gC&64Z&<zmG
z5WzYOp_J1Bh1>XlLEY<y2kCAbAhUSF3I@m7p*NSit}bIuU7Gd9o|Eq<qW_I{>2uXp
z*VR1*nL4ZOIq08dH=RWx+Xz%mP>q4~U{`4AXTCEOOJQB0ouYdEM;YkSq`;&kifj_d
znp*yDeKjn+gkTVUbau88$zC~unzsqY$Uye->U#~9qi6qZ1E$C+O#tNq%c7hv1p*aK
zH8m*6Y~ZW`_6N!ZyMYCUNx}JnvU8@&F?+&_gOd}PWdRy4({gQR!5=`a#H=Ij-Bwm?
zM!$1GZV%ckC_34RyFjZ6dpqa>ERR)p#`2y)ciaau1W(ZaLuCXz5Cr~rwzoq%g{Ops
zuT=U+0Y?U7D(;t<M%^|QPzRUg<-reA8wY$B;#7FWd-vvPLIEv22j$H4Z0FR}-_rZW
z8$<+`JN%;>NNsEc#182!1(LiiHQlm&5(uO=s#o13O-r=2v<B|Wv9sp~6;UJu@GFo7
zHMg~~jv@ZP0z9Jrso%kACKvbW)vE?5Q~#U@wj!1H?;z(3!U4fz0|tW3@86;9fk9`o
z0$((~L8T4jI9%;4kB(&w_|Yzp(XJF+R-=GCu0nxWZmDT&y9N3Q<RL*fUI(um%m4H;
z4MYhP?Vv7zzjty%ns+>*)a;<IV+Em`sK*~O`0b_eFDN7=iN{<890?!=U;0P_QafaA
zzS~aQaMZ$C4X!hoE^>B;9LEQqAFv*Yz+w>g5pua8SP&F<!$5r<)aXN{Kn2kt(aFhr
zDk=+Wk1mf@kZ=Zd_G2AVxZZH~bx0jZDHXS#nxTL}(A>a7peOaiho66#H__10I+f|^
z=|RfWp-#%KA@aNtB|8yGe?V&$CilNd-9dOEcvfA119X+BegPbtljR67SbUGl%VP_d
z`gcF0BvW$CiQHjkHirNbz*$3zp%sdX!k?$Vmj8KgCyI?rW1ITD+FGr@UwKLcrC8zN
zEhrVD7O)W!q+X^O5$*iDW9%Bwj)zE$Zg@q}KQ3J4EaqfFM6v~~b*2iuz?_R+iQf~}
zHh4Ib=PZ2PQNAwXQ^WVx$47fTXU8jOlC^pk@{ZBv+WKnYO!~<K->DBC+~az?dbrSV
zlj~z4R#2dwex<sV^2>-gjQ&Q{{*yoqf6^sNP;OsyPDs+XvU++gJisMF>UtAXoK@b^
zPJ2ycf`lCU0S{(SY72uj`rZdx)F%JO^+64IO}brwqXio@w&cWAL?Z&tl0g8NhmZdi
z{hV>cp;#2B`OOQ=-Pq==!$n&8)s4-k+(rD}N{pe{$>Rn3b#8KtP40~SmE{vhO`=gJ
z+YGj|sqA!K0(prMpROpeZdOL&pXW(SU~X|uZoSc-*^`<W|70?_(rmVX`Y3(nui9cJ
zK7N{EfVA|UQ56_@RUCpp`??q3kgqk8K3wz_(CTuvH|OOHos|2VfL|u$VoHRCMK(fM
zR2AonM#;dVXO_Gn&$4G~pVRDjEQ2kYY=n=0cz~;E#z1K)kU89xX6RO{tgc}{#?RA$
z{<X4`#eD7D@f0@;(|+btns_*Ef$cE!HHn3mAB2{3$HA<bZ8%13CDgXs)_T5lqLgbq
zJqJMxzHdx?+aK98wZ4xoeSpO@WRX}pU@tcGsid1?Cg7rLIqetf(W1MxOFd_v2GA?d
zjzlGt?)1@a7DlPi#+sKC;~?diT7(9MTzkn!qY^JR{YY+iV&Es^TC^<2tf+^+JG2gb
zkS36FC6~zQ`QU(<Q060HH*-Er`w!&wBexO9D^6_v6A_b^#EG|W^=hs)zkZzk<(j=h
zjavuPv(Lm5>}*Sv3aiq;>^dce9PF$9_{r%Q$7?lXx}&Z=mJpe~YeBg`g<{`0lq9pf
z?(FF|-r_^>DsZ(^c4lh$jT)}w1H}P48Cn5`g!tP=cDEfL2mT4nqBO<#{XOtQIx5>h
zJm)1Ar8N8dTjBQk6>i!ju04LY?8V=Poy_PRE6)nk^kY!jYpIN=DeOrnR6g%uNtnir
zy?@eMAii*v=|Cga!^SoGo__CPS|7eZCULRAf;2bR(ObmeEV)n$uGyboEqEW7x~o)Z
z>@V6MprdTyLAcFLA|fQOPg4hSM9@n^yWUeu^RI7t#2E0ODe0$@)8FeTW!T8959sOt
z{Bb(mYin-4m-^u#_)?#Mf+9$++c=v8EeQCGtF<lp5<ec5xMmMq@EZLFFKyVCsMP>;
z<XP<c6AAbJz5Lt?2%pHykqf9?Jj-gaRz@Eh4NMQ{Lr!S~*il10At`D4%jxB+gko3P
zgm${02yG=SqeS(3rXdp>2e7Z=7?cVT-Mm=@(LU=ruNQ+(*T*j#{>H`M3$G+lKB<Gc
z=<HuOQjMZOc*jd_((8iBI$K=-VLNtc|HT5>kxu|^gRF#L0|com7@}bI1aw$oR3g=j
zv=d6+C5x=aA+LW&YNxSZax2tScj)f=dV(s$3S7**+hY#>e+5EDoI#d9f*B<CL&DFm
z6%nizrt!qAt`2GFFy$zyWuU7@-=Sx8>=8G7j;9~i8xWq^?v|f1m?q->Tr<Qus?m#M
zVfoMI7ZUtpbWsS@>7=H(SLB)#k@KZodGGJzHToR_--d8H6#2kExS09lcn)t$)Fl?&
zQQAtn+{u02$rTOe<Z_OO&4))uJ-h-w(D-0T>B;Ai?}e6&-(~1loSx>$eS5;9wBAFW
zvy%M0Y@6XiSBswR-QkUF?XZzix%VtwJHP%ITD@-m?mVNRUm4$kJTrsf$FP!Nl~zih
zIIEw~1f>K2yS!1dYb_^h>2}QbkOlI?a+sKNiSf%C9?l$y%Df?O5M(reE7kO>iS3~E
zW9s{3{QCwadU?q#nQmr#+N@j0w2avPk8SibBQS5SvoPn!HA^htWXYDq;MlIqB02oM
zgOe$KmpdjrAb7%E{O)6l5k4X6=fkLF-Z<}%#9k7*mPsTDvsiFi+titmRFtTAP0IHO
zDNGBMFW?7{&s&Kb_?x)kEQMn4;}PS(sP|;l$60Pt%wKqI^OHn|{KRd?)IX<YJCfpl
zh@x-dYLJlLbW2PT-!;~25+yBq#|@tK@oPT$`L^{P(I#U!n#W8d$J<!ZD@zW=)ZH3X
zjPj~#G0I75mh01GRQ`s}FfKxJTD9cc%5a6~l5E^~%k2-X4H^jIuBDwMg0@)g4SJgq
zz;VB<F<IjFvFR-ge|<d>h0jF#B{1%0oqo~`CA#U}H$;|iJm)}=D#o(w2X(h-^J$gz
z-sDw@m@ubb#K$y>vG@svOF}>A@J^4^{|~y}IxGq;>K8^mAkv_KBP|NjICM)(H^|V^
zjdTtosVGQy$Iyr}bR$yIC0)|p4R>?ky!ZW{=ey@Gj{`FU&R%=1^()Jtx`eh=+2Q8N
zba<vs72JXWa&tbig{d>S{fl8N!}3lqf02_wdbBfkaf2eJM)%HB+5EN#hz<zEH{aB~
zKmEBP)8zQJXW%mHWiS6paBZKbSf>O`wscC3{N&3h&)ed|<!+&`fUpqRx;Xf2iy7m=
z6Y&SN$5M)ds`6`IEoIv$i6N9v><48}SX0$hQL*odoW%$D=nVG^(o)TZWGI?DAS)6W
zzZ-rn<8{qE8Hsn)SAGzgBGDcA_Vp3-$@8@d5J-D+z0}z60WAXP(?CB49F76l>V2TE
zkFxnS`Bn%y7S%QNr|haya|<*%fQ<|`HE^(_0z49+xU2z-LO_wx1q5v{lYA2(!R|%7
zMPpIQ1p!|f7z42W0$fL+noI&+1Tb?2HjiL?xW5I6ie(_&&A(jojw9M_+y7o`8q5Iz
zpnhx!7NFaQhuI4taSO~zpG!a`0(iFvqaX^`4Ct5az$y&1x*aACYfHiM01}tgs;I#J
zkAMRx)f%5m+S=N{;!s*$E|D8}m*)Vf1+ZN?2RiyKpBa=10C(dagAV^%icS6eXDfq1
z;J-+4DqDmQy!aldpU_{Rzhu_CZsNfY><x0aM9AOEUt68^US~gh0LvH(x4&U)3{>pw
zr4@3wFYXVb$3P1Y{pEhRzQXSN?Hpj?CO<TbM_kP8P;7t`TC142__Z9eii?Fg$EsQX
z-@<BRu&{8xQ4hE)@@&2K8GS*RuFIv{czpjpSkW>xIEelLc(foOfM@*`#Q$!l#-hM*
z{|9P5-AXuevHQ{#`UYYMP$}PhG&514{?c3^IibKGsIPza4Djas{KkT(-xxsk9uiQw
zUk3gfJ4K_~aR}2?o@wa>+PhS}im$9A!!o<EOn?SsV;RW^;>chi1CiiTLpDjBda+N6
zlS_S9(HmzjjVNa1bs01vVU5=%Z2F%p!Vw@!Z6}b9l|_cTQ)BTfX`2I@<qw(YKTljq
zTtN5o@rTf!^h5W6*YsJxB`m^XgI*r*WD}}Ccz}%GqICDf<Y3CSeE)`Wl8kyWcedL1
zFsU+nL|4%WpQMeiKK1L;$#B}hzB>hZLevrG0oDQG7ltI<6w;93!fg4o6N{*4m+Q)P
zBXA-9&y|vehjTCQ@5NfbH9timr~N{T(POi8FV_9@ldQgN@{FW(rRtjIHX0oLu}?3*
z7=7$}7V-~Cu?P@^MarfrFT(P5lw(956U1o(hm}$a84*{F$jIT>7Lge=iY)D+{=f{)
zNVT%zKP~{3@T9o3w42VLj67z{QQE+{y=F_JNV+s>gNxG^(=(|2wjLVxr(gmCc1noh
z$Cod|)4#VUvgkrF9$3&}BRr{X?OnW=rpwU}&%e?>%Q1zv)G70=Hww&MMunCyFTbJ^
zo{wHEk2Ql+&>RRI5VoAG3)B)eIeZot9HASi>>lRN>Lh<I{^NO?^UGh3FgT;4=nHz@
zXHo4vcVSFklu9z`>5FSE4siozDp;itKc2gme5zK~eY7F%%bn4`_^8m6<&Tlq3q8P1
zpv_HE{5^<^@4P}l|5f4<s)UCm+^m{Mp41_aL-%b%|6{Y&>`yrsC#tVf&`6gc^uoF<
zT{)#<g5I1xCv$mzx@c7IHa&B{9$&3bdV6ZCB?(=!vANK&Mf`picOJ_rl~8If?JZ)C
z$t0euh}Vni^m3+(8IIEDq&7II<{EUj(?v~t@}k1inIb>^+uV0_!bXgz=;?|bp+w8L
zr)=g4rBdUWaZ*t5Yz|AUN1=OyTaa!!8uR#+jkObn=?RZbo~^z4WWJc}2)tqmHLB3q
zo?@<-PdCkxd43u+EQSNJ*duhC9+HSUDlH0Y!6?>Zc6dP`lVz-Jpw+|Z${AHRHLaub
zM2w+k4FNM(6bFaBkf&GX`8h$hU(-_3JQHQ^%8Ht<V4j2763C#rCq^CJ6YB|o05>yG
zJeID2H-9;v2t4?PMIu`Yn2Zod$K|V5ZN6(AvlP#r#Ht^gs8g(1R6p53jyBL@{bgwv
zGI8MLCsz;_Zk(A(J-8yic8AzsyWyDPqxuS;BuoJ(5^f_O5KsGn3KYa`Y-iS_Bqx^b
z5gnJw!;Ntu&`O3X@b8H6CXvT@lh5zCg7tU0^}|qs!#_YC|MIU!FNJ`+Bd`^wRwuzi
z^G8pFyZ>8DOh1Bnhgx86eQn8hpvs#R-KwxuE_O%u19+Dp{dLt;=uGnxYE$lEr+9^!
zG%T|R_y>c=BKdV&2A+A=ZutsJ7QF;CdSDt3ePe29IDg=BIla^Iui|XxvkTDbT&Ix&
zO073w-?3Ew4WCc}QniBfqe6<4Hp%Q4)hlx$e4EEpM|ClXS6*IT4h|0NPm%;YoWW)b
z*z%wBT%GrbMo)nG{<;OlWUiP2m`!4=QICY_B<4B$$ml4YADI3{FYB+av&xK&|D9az
zXpRRFf`HoZasYO17i)UnAf`1@{*=BB0D`uj^CTkI+LH;EB3?d_PJna7gfclfd2VbV
zm~#CO>Ajp52nRG>5bas(Tzy#>!NkPGQoA3HHy5pC6W8n4!|Cdi5^`<mL3ITe904I$
z3i3A$1Jn1fDDA+?1rB!WaFD9S2@Dp%bpb2`fXnDTmr17)AU*KM1Amp$vy`yPj`&kv
zcTi~SwWc*ZfBg?=XqbUF2X3YqNx{9i9)2K<v9`7bRDyFg4V|p0>-PnX``kKzl3#zC
z|FQd|-~;i^#mvnx;XH0#SXg*<XnS=C?%D0&9K0rzA6|P2(={iH2?*Bmm38pztOTxD
zY;nJVvK(l<>h;J$+WjPG^??t-MXxBXIm>pO>>@Bq1Bq1g6j$7JkL)~WQQ;j{Q#GTf
zJu<%*^0)pS6ZBtSofcoYgM0OA$@_8%uzm3{`~d@V1b7~`u)yB|+(9L2jNJ)1x`6;z
zPNHDoS}gzoMCO=ag-QEPChw~w@2iCAa~e{d`*%mT{=k7rl9rYhD!>x&&Y;3EfHM+0
z)pbh(6lm}~hksv_yILE>8C7~;;J9Jo;K0`nDJ(55!O9ANoGM@=wmAyk#SZu+UCZbH
zhDp}#XR++;0R5yQI>7mgy)-Ek1#21<e0sb#9dcFaiGnp1E;{SaJ6~K8z{iv2!6`j#
zZ;<WRkmkm&cK&N8!<A&uTM8BQ_EF!P%4XiM&wtfG?dv)bDg5nw(C*6ez_{`qjX#5=
z;lj|kaN$3qdQba@<v+R&;amEP1lh$(^kjUBqcJ7XKwuT-B~{Ctkv%}8+jwpCXPR%u
zado<V=hrajMqb%rkVR)Nf#oitnQ?_k3U3R<27VDV9BrUj?3OdG+O0lJBg@ue>h{O&
zG`&w)jj<5fbP_nISdKi(gG#9d@Q$Zp1P8AMbbgV}8!eq%Xq1WHan!<WRfUpnkA>t+
zoeXjBsZDfoGexiCGe@Z28HuQ+R-Ij+M4++eqVbOp_fC?DI3e{cU*aL+@^YDnze82I
zI`8Thij(^&zL~_#dr)6B&0~PWpQqR@5LHWOudWK?Ym#AKBL7Xx*F=X=b(+&c=(O*>
zX&TcTR<w+Vn;Z1RyU1sU|NBD$3p9&8W3>#lX~l~<fv&dEJK=eu{NXj3C(hs03Drmd
zB)FgSsw+C-W&K~p>JsD+(eE~x{4Lt|rUh$!HEpZ3YYyJ24Xd1NOiG5bt}QlWA(!^7
zhx$fY?&<!0o0BjSuiMR3Ox(@(gejozL@VNNb(D(q;(Aql^e}nhH}g?bR}5DpSLO;m
z(rvau7`N$uz@!t$tc_Q72OC|YUGgQYm_Q^p8uN$82i~_yEJclD!tm0UYn!#E(^8Oa
zFM*D6$-kcVtbz3xJP_UV3F0+q_m3xqxKPVv9$dO1zXgZ8LSx5t4VD3&b}Zi&Fcg$6
zJ5RZZc*;LJt@3ztH+wF!rMO)jjBGfcQHS!sy?D9-y46sxb>PZ%_{SGlu#IIKB&7h;
zkW9R}#ROaOnCaixmD_iPP{9G(s#+_eQn;A8FZ4P~0#0-@4$J0T1MuLSdHdl_pLDwv
z0b@+6&VOHKy`;4a&?JHU7i0^dQ-R%cpO4R-z~&vGrE^yv5a3(Ba)JC?=~24v!LGUr
zSdIAOrJN2TYyiMM`^g$qPQcz4x%k6>AEc!kJ2@R>8o4_+PB$n>UjP4P3TGwAQD~{j
zr)8q}_j$NI*2j=*#o+u8tXwnauTkbjI`bc+HkAv}w(z|K5DMFN1V#zKSOU_%2cBM&
zevO#t`@mlxc$$19*7JPnT>@;yPF!zA6g$p99096C84y=xXD<TJjmYVSq*ghuNk>p6
z1Dj`o+VR>6^xuMQSyXAF94@d1iiG?1?-)!Q5{yJxXcTV5(~oX`Tk~{bueCv;1tnXz
z*ad*s*Qo4HIJh+dUT~c|1e`LwYXBvK>gV)%*EDz1DREL$MZ@)51SLo-;ix)%w0cX{
zj``mo*Uq_eqikH)ZGkYM>kv>)Qb1A4s96Pj`s<wVlcgYFcE9*QX4@)|rR0XZfkNd6
zG={`}c$^6v4k>5aCyLB9+ahafz;+=JI3pR=0K6RRR^%=EO&^}$vg1*VvIbTZU$Fnp
z1^xA!@QKWP-Pz<8#`(e7Kh2ouvQg|SBQ5vu>Oy|bXJg6w!oM}GIGSnrH@~De%r;h}
zJ|D}~Hx9#k8YT=mzSwUeBo9>~46)=$kji6yl9f-yk{2ng<x%Y1!Ac7AhwJ&MhpI_R
zrXYDJ^m5!IWwTYo*(u-Qdg;9qd*0CXt~idxgT9Eq)Y9BRiy!*g<L5x5^+Mz1EKSE<
za!4ssvb1URqq@0WeInYGEOr+D_ur9tPstH?X1kpo4=s&9MEOH=^68=*yK9r6Z=5!*
zAT`Ln3M^OrkmXO<2az?ayW?A=162-3ro(MBk_pb1F)TJOVuWQ#nDU~BZ6F2w_0kMh
z8;@{-;!ZVmHWeRJ63qxt#rSYjfX-KqA$Ji}(zf@eC%#+x5se}Dbf7bp-<S*Wy^J@=
zKVcE0KH%`OSuK7Ye@a(f)iud({F3CNgQ#bg4EoK@jOU}Hbp5ALR>6e>Q`}#Jys|X=
z&nCs2)j1-UrugZ7gP!b#>PqL&Apuh`R!!c^%}a|<?=hCLXifLYW=>JIsus+n6uS0=
z|Lr3|x6!+h#N{*}fk7#f?t*YD>@aSpX<1{V8J5g<Z<L68EtZvo(_E9`^aVDMDcim3
zHB91n=iU@>5B8XEk~WC(iLw*TwC{-bDfn(7tXqm&ak+J0TFfuF-)SZn)V&)(g&vQx
zc^J>AjOS`h>eVcrG4d4-v<XhSKAbUTEsl3)LioZ{WS&WI$y+I2oyI15M4OmyV2sUm
ze9D=elr-1bfg3+QogZ2m^v>*44F0CWGzjcV+Y(esQV)16C)JK05f{a6L<o=X<Y2j~
zd>6zi=*gYkemLv3w%C!nqW=c%&cW-sI(Ehv5sl<XwOzx`Q_>zcPU95m8Y+$Z`w5Xk
zwRZLV<S_jj`o*Cr3&KVC>)!a8$@z@6rOx+U>G+f9CC1QgB1If>;;f^;(ST?>v}Y+L
zFuBfmIIzFd97!Ryu_~&hW1Y(@9=Dg{J~0^WgpqCmc^uv2I*Lnf(SPy~T`0SfY0C2$
zXO5cc;2icn=K}+-(*XD0WUFOzN`i4##+a?asiln#`MAGsu?D)*n>WWF6+GW+vwb*f
z2)(scZunyijk~(sx*`$*j>V^*b-D6OvH`cP63XLhP*TYFT@}%H%DvCZRgyX(I6@*q
zEnufOHahB-r-6Fc=i}>}7G6J6IXBWg9w2blpbq%qfy6{TP*7B9odUqgR2>5xEMO%U
zBmHHSB4p75#7vwK>!k!m-jrO4jIy$_+N8Q~zc!qwy{|4*5_(2aShiJGfEP-xYRA?Q
zFq=y3_Xnh;k@~=!m92h1SQr%O)?PF94}oVK-%w@Z3Ah{%uI(g2N=JzHX6@z9to6gN
zf2A@g4Q8cCq?{9mDVgU-vYS_Jz<OWrlcEY#xW@x2mp`w7%HM|S=giDZ<nvolhwUHT
z8QLL);6W~cfi3O>S{c{#_W!>51M#sGpwH3zRREb8ux#|h18~?iTMV>Yt%_>Tq`hrz
zAMbBb%CgBJo;r5Szw4kR=Q0Le&6U}lon?<5$DW$!&n<?>%qbxuf>EKOXx1CG(Cs{S
zUfwf0Z0f?0WezR2zZg6eRDQFWzO#1PXeLkrZJQ6(#lJpz{FFSlC$A-y-*{BseZU$@
zn>$nk?qr!b0|wdn+*yl7mBdv%N!5&re`4@Ov6Z+<2jp7@-)wl6i=r(tV|Ki6t*3sZ
zBAN3;u8Zm=Z@ov66yMvV593$U`LN*6F$_lxg0Fb2rtHP|S_okYW|pC5{*WGVRk_AR
z4J{;;3b_hDsJ?)H>yAP8g|$#8{)77Q4n{wHPa|l_X45I7zIwZ3uDn{LlzW@~C%-(a
zDsCx=DQ<@Qp~}vV4MvBTY5{jzREgTE(~^Y-pQvnMisTS0O@sw(D0jkV;YZEL&L4OF
z0Q!jG4~2m_0ileYF@y{%9%1G0SNHR)rO-<jP$s+EBRhmqb?DVXgC)Les}1F=?|!O!
zAI(!9KK<d-y2uw8=hgW-q{?7GM=32l`#o)v?;GcSru5O?e08#z@}iuY&Euo4v9QF^
zQvOPb5tX{)Y0eOAjT5>dL*q%^?+A%LvFg0hD!zB76qBVImcct}9)~<FtOdT&39BPT
z+L5#Zy0980hv!U8lQ8S^-X8Lm^?{;}P#4>}u0n+({`_=t0i5H=1N;<g8Jz>5z|i0n
zx|G<bxT@Ac(?#|qR(nQcId87^V%%rI9Ljyztk&jMcMwviSZEpQ(fUA3h=(<~F-`FA
zGKF{r6FI5n8dG#=kf`%dcRtT|7a#bEKhXSe&trQZhX#(v3>d65Yg|k4=C1n)!1!X&
zTf9LhP<9()Zuwg%zfq1!j&sWa|LVG>M>w`$FC^da3ZLA5klFo+k8}SXo%vsXelOY;
z;P%qQoSdA|1+ADjlC%cRf53~G0|!sg7y&8EajxzgzzBR?S9KE@Fk=Od0-bXg$H?c6
zrq;t+-nzKkr*;hZpUXb>&i36~t~Tqv8Oi0=P0(Qg>O`QzO8DWSGZmP~1uuqsbciB-
z;xfmc_6Zk$9<Xb>J~8^-8)I~AamvQwP_rC{q1BH+381g@%6NHC!Ij6s#rR^NL+oi}
zXzP5WFy)Mzq}eR8^stTcjpj4o?*v>rQz^ai+h>@5sCvt)I`htMMsGYkim^myE3njy
z3X~B~Vd4B{KJO*b_*|S6!&hIwkmcyfXX>+9^t8ykfJxR^yn5V|G>te4lPu0cYN0tH
z*@gKN42E7fJaJzW2@*Jyw-~jr<~QRH{UMzj8Wx+2?9|E6&v3W+Ao!9uzZ-F9X;z?M
z`2B1qN9AGD6KU5iDJBJSH~HA5&MN+~!9@2V_u!qU8k3*J(2N?^q8}PIc8EC9=VA=#
zsOad(O8$-<CKGIuaTIHB5W(mljJY)O$LheqQEXatgWB<>LtmSkO{6a}4zcU#db%O8
zYC<CN@aYp@t01%w;WAGn-5Avx18Z<#Yb)ZXDjBVr>ijsc^kjqT7k+qp=RYwZR<>!p
z8Y2UaeuH8?^l7|hi&l~j9W^ku;*B&d`(haV9i)vLxkeYm?*yEeDy1kL!OKl=KIGXy
z;bbnelK-fld<3z*^X2zCL6xb;TSp5QlEP1@gmh{umFF2;*~R5lUPm#3Je*ilza$Up
zXF`9CwCi`H#Z!i*PpbVPb2mrC3#e?+bGG97*IF2^s5m_-GFT(+h{s%N(_boj2t|Lx
z`OC_3m56gNg5k(5<_DEZcTJ0v<Dt3QPDrCi&_Q4OIE`(6O`@xYLCw1zrY#6Oa7iTq
z#>xM&rr18f^HU00&Cq>cahU%^6-V=oVrVzj$>6=96tTpUaPd+Sc8<W(Y&W|KOn$lZ
zg3v{*?*=DEO~mmu*qB>YjHbcE#J)&!a^5-t9<700d}FcmKi}cMXME<81FD8dbCXh1
zh|f{x{7&ozl?#W-k76`9aB*08beH&7$jj3XxT;0MYfjJ$MG(@yd~NnAdc#>Q3ze3h
zY<C;{nlR7*cpX(wU$ajhGh+odQxo3;d2K$#$0agZ$|6Cw-e=?3*w`60fAjS&EC6%E
z&Fw^N@rH?kVoF)lkWvH$$^eZtiS!4i?KUSW`y%KA>}RL@DVrqEV>&tPscudmw=Zb^
zEkGIx@DT)2W@c6~z#~O>*MIA?t@O=TuqJ_>g~k5S5#Z~#nfw43>gU<rxw*M_3b(SX
zY&Nh7c%IV3wa8L>7AnLQYI`dW0pAIX^=_W!H_GjVf`an@J>=63J*u`=))79}N0Z;i
z!uah@CRPo(C<7@*tMLr`viDqUdnpzSR)uswzr0)c@wJg+zTI9lHB2izj=Y3eo9e#D
zk&^yn918|%>*rmM^x8(tKws_5!_~a<xQIu-Ix9=k(tigJwD*u>FLoR<vi-BGxqDKD
ztRse9fevNz_i29}*qK%mE2*(5<Rke$vn)wWM|dMH&oC>&s)5(2H#2<yY|=542ULpp
zlAY0kJJG?bV!BiuvBRpB#4n>{p>YJwGfnceO!~U*f}Qq-`AlR*nBa&)O7r~(zop8e
z+17f=qV28jcltIy<>d&hlkc}%KEm&*b~49aa<$??6|gYTVL!W=a)Jh7_s2d`W)YWA
zjAI^B)Cxj7`R=f+`g8-~9=-s5{JJkpWIi)GU{XR(tV`4L+q49+JJuM*?^2C?`XnVx
zzAfK{rJnVyQ?(|!z~%f`uExx|s&u}f$=~+pU(bfIY2U;3;IDRF4l*DaI=<Qp-Y<Mw
z^VPL*mx<DT^CI42m7~Y@6;objE^V{RPRNC-0w{r1p8|H8gMHolJ8N6r4tCYQrWj~Y
zHylOiY<$7#w0$Or>oH(l+&?!P^4EB>uHcBz7Kf)A%_$Bc^>@OuvIjl4Dt=QjnOm2C
zf>hx-!U(q7PGde=Trdg)t%++G*b!MG_*ctv^O=-R6iu;_zY;B|G>H>9)Yb^d@Lhbi
zIDVD?$%|5hwvEc?Qt2)YD^NFfSosfEM+q_6?bhI$x-6dDfvofNic7ApydDrn`s8RX
z%H|DGZubtUo*3bk@qZ35gsIaAal2Z%3G-rKNX*FZAfCX9_7=1Qj@VP^oBiD?3S#yg
zdgpg65VC}J-8F{=2XBPdcT{vgZ>lfw-q9BUAAO7h;8bc;j!8AQa~$M<dvpE+_k)Ks
z>D6hY<9`%$cX#*0TiI{(mb~!;Mxos1+KyQ7lcc!l3xz-P3zEn{B9XxKq|y{v!46$>
zqB3$#0U1$5RpIrg+f&8_UP>9@{lEv5%CGt5Pa)zO&>~O4&o=r72LN5!Zg%>MgZ=Fn
ze*s_oMCuuVNKi3w;BVBgvt=U?VT6?~Ysf`}-*CoIWO2b()!7CN)PVNz<;}W=(DA^}
zrQ1p}fLizSCW8S*AFToGC$io!I=2vNY<riLmZDS1s$8Mw-Mkh!w<%A^LxImpCIYbp
zOoDpl#h-@t4dQ*o>YyZ2=%6&uE`<g})X}p%%GTrFVn>rK;2|Hm!u=3OdN?vEp01kK
zI#0?>QJ2{HMrC7pnWSX<tNHfm*XJAj>Gal?3)UN|3d&^dDJTomQYU=ar@7HV3-m=_
zCI9e}4bv1z+B271PQDz(7mNy~?fm3051o)6w2v}hrH(+D$az%P)y&^3)vrL<)_ckF
zHBFWjJv7;{?@m<CnCP<O=G30OzIy$+>c{f3I?UH6$9c3}T$#h0SxCN&3%hmG(?$8T
z_Q^#VVHhc{r#1PbEtqGo#AtG#!y&FZj~-!LDXFPIG`@ccdCZIf-8UW6WV}~BD&xc8
zk>XBf@agR&Ea_f|eN;W~bBkR^wt_NhUCv=S!|Q9QZ88J~%Ym;o&D3`Dj`eJ1FWS^l
zDkwK?G4y`7&*OD)u;U$4RxRhB#>tiz?D<R*t!AO~>15!cNX_J^P`u3dFJprnqs25Y
z3QdMLd+!NG4ZEyZ#ZBaeKfsv7uZ@-b8&=yVQPPN0g1wlp1uiLx0-v3|m$<s-+6pyV
z^`B_VFW!jpy`4NSlzbByueX+~($O3LE9e+jcc&7jo8u<YU-dxis9BpI-IKFGB5I4}
z7iNH_X`B$}b}#6O%#2-+$S<}z^8;KF^q9SKi-DL&wN+z-Rr*O!7}f~>_P7pjY(@%Z
zzJwp|W`17WQ`r3ZC7XI!>dyO*?}?8MF4j$j*gkvC4~*t|J5vZC1}cF}80^y)$ZHOU
zwX|R`;DY~4o9X7Gm6!`gv45Ib|23fZXZf7H-IpN=sFZ90>VO4kVKKFLqzZP?hB>$V
zn{G5$ABrYm@o)viKcC-R^D$S~*9-FU;{9$%#2Lmw;$x}_5GxF9j`xCEfXPwc=;(?a
zw*;e`G%!jMd>g0WIrlJq_Uf~3_3c?onjLAAqbAmI?0X@TtsGr^d)dBcd!jpo2unHt
zOB>hc2H<D}ujb8n#H#*3t}@iyXe@oShVtGXRf<!6Uo4X-S0g+2K^EU^UjuLfp+bYi
z?i(v=Xr+@q2%Lwa|C5vK?~wa@)==r+ZPafgm`sMO4x#da*wcGZvp0$~zL`~dxjfJA
zg|^b&LkM4C=2nfd_=a@D3zPSv(Tu+tx&#_O_M6@shR&*UZ@g+?@C93NtaN@#r>yHW
z7S+OH<}?c)PHSl?b(pXv4Gi+j{PUu!q-lzDhFJv^?(Gx(hV`|-8&M5;b9`Q!yJ~aB
zq;Qvi^-7c4(m=6zqQ*i*<5>^bK&g!L8r!wMjSnMsA=8Na*|KbxH!R)~>_h912siy&
z3=Poxlr4pD4cntjHZJ<QH+%5QlA1_C8G?M~`p!PjlZRp!Vw9$YD}NGwMyJdcHR|LS
z@;mz_zK+tx_qVITK}w51hT=X~(L2;=F;Lf_x(m>FahQx{hE#X0#~5d;NtZ1+7=Lxo
z&_p}@hft;}=kuOr40fM@ze_;;Xz4G0REx@A1W>Rn`r7DVOTK{Vwy+d87jx+uyQ+E=
zJi?Ku_sG7rfYwM~OL*lY`vJp15}Ctzc+?}v;9IDuCZsG@*F3yxfYz+{lYE^BqUN&C
zsKt4cx3MIRNUPtT7;7Z~mpok9>3|m!8Kt}%_QJR=;iCdJR0#dei}*>|<0fndv(`8G
znFn_4RjO#1yCyB6v~|YE=<{A5s}qyd6%Ge5r}LzcZwnKwkua*^u8vdf`3`JRCUZnp
z<503WnWtdWC{*yR*W2CU#?EoXuQZ(vjhg3WrM+K%E67e2S9EGSB=<eWaWN1Un0#Ne
zvZLagLN{#sa5|Jfs{JpXUPb3#3kNsTe6y21M6XQV>u+VJcI?`$Ri((9en?QlqV(~D
zrV8_9eDasc1r@8@)7`_ZM8y)xf<=KROedwK%6hI=l_tM}do4BTMLpY;YV8&oO)k+5
zF4&un#F5XnP-4-KNp8t1?;&8@a&rVw*igU)DB{;Vt9L#}eDB`9hpJb=C|X>9^dGg`
zYh?frY(;+J!nb{|rE(87yaAROFus{kae8xw>Q{k1wqH=oTalpaP8G-tpRNMLvGP*x
z=9oEeU=9Dr1wgTr0PCTDsutrd>wx>0g5rYEl&9GTi<_m=dvkQXx3?t%OpX8R6o!IR
z=z-(dKJ%@W4xmkgA6_+NkeS<twxxn2<*WbgH5wC>Fa2`ZHR|MJz-=^hMBGM68q%Jc
zk)e<uSbNb8dPYywJo0L1p0(vn_f-oSwQeb}gq^P#j>c=UQ<i2bjNAwpCxoK=&%+j8
z4y~;(&_4`)QX6kkkCnKpDvSNZC8c<-+g>s+KNv|(-dXcT;hjJjIySud0~B&Rl<GgI
zW-!E(?63b^r~5~Hb9k2~8NP_CKtOc(fRsQUm@vctJ%Jes=H%1v2_IgwQ{7AE=yn#1
z(Ph^_D-nk2c)KIT83rm0e6Tq4sI#T~M~aG~g>wSoEzR9Jv_{`nYeu2meM2n1CLE0X
zGfT`V&wZgzmdBVnP%}Px(J<L;;|9ZuRqebJ7Z&!;_pKY>!C*D>3QWGP%y;h;51$4>
zV=n!%);VG47sP#e%+Q>KdvsO86F9J;b}Z~Vo!%EMs&ViLW?Ukx7~yB)^R|D?2_~KM
zT9eaq6~<pUoau8XBqrE=jkt$ttoUxH8j2nlY&=ss&_=wpLBo=uZ=8np`*HD$yxFfB
zT{7KW<1=a1)Yb2YnA(FQLcbv~J>3SVyqPcfhrae(ZufM@HQJo+HN2BvZ%~Rq9l~6)
zB>we~o%(Y9Nrn6+{#urbHP!0w(o_sf?Q6%chEvb&%YX784+rfJaPyH3O6s;_@7;_1
zLs?k+`ZL<7Y#*6Ho)$G%%7q1~yJ2amGpS8f<G)Lr{Q8Syd&oI_TnX}9rP@raFc5SQ
z9jUUDa_5SjWM6Z}gxvO)Iy7VGy(`$HyVUxdT+JDt&!}jvHC2{UFc+rjdoakIv!qPO
z#YHO9@CW>6H%~n-X(F4YMYUzAi6v&q%j}M>Fm8C*^<>pNUVTt$d!OjZ#(HwLI;yR3
z4c(Wv`E1jlw8gxVXe4@>a$A70N8W=oZ~E}aKZVazXpuQNbFAltQm;+4+~m3S!PMP6
zi&psQ?`8q)WAoH_Sd|)0=|{-u5_jQ}8biL3UD%VQK&BMYfB{!GU+I8ffm_Rkfo4{s
z`0me`l0+>{5>CG^whOw^LEtl|YQ(Pp92-<QLj($ONHfR+Qsnrhmxcx~UJgF}E6|vm
z{eJvyB3cjKJY)sEMO9#Qp=)E8U|}O2#&j^WwCr@ZK@7Bz|1;=;MbZG_7m4cXY9z3T
z^c5w#Ii@I&Nv_9IhN6nM6)I;(TPeR~Z;HtbRsa}ltHI$0Y<PgjAE+`Ck&u#toanI~
zVqMqSt;@|V<=jDY&THlwpZb(*eALZ1Hei93Qb{!c;jZ<bR0>`T40<O33P0j;STt+B
zx(?Xm;7EcGBqb&NP^c%m`KDN&YjE%yuj_#y{y?aR0zFQ7iVXzec=NbE8UU{zq5pGt
zZ)vUGZg~)y2&cJugjHqcHcSfztjqp)4?w-oruIyv-a?R^3kiB+9G7R0LM#uq!!o6&
zzffQiDLqsIZu1Uppsa+39AlQ!9IHa54vsxlX{^i#WwVjg^1hdP$|?@8^DDva4zBw4
zh2}|BM5~--MaB<>{0NVq#IWMA>hg$ql2j@v*2R^@JDcIsh*fml4CJ?i*V<WO0_nWt
zaK?0FGwVo9Hs<C#M*>H?iI_u~TJ*S)?nVvsni^Wtbh!rXLyz{JTA8n8uaWdTbi0_-
z*uoiM4?REfE{poE8qqX1PCbUdIb#b)Tn$Uud>HXoWiq$v<mH=?V?O_Bdt||}mm3H^
z+t!+BiHQEH^Z>(hC1g9+#ogfaJ42;Oo5DvkFL~$elrB~u#n3_BSJ0<l_A#Fzrn5~t
z#2+$+KiIIZ9_0|Te*j}M1|DYU6bR}=9H!^9yryk9(lt2K?tvC|yyih4qDoIlZ4k`c
z%+KsO?@t-Inz)hwu#`X*Iup&u+Pqxe<=5o+ZEr3)R&7qt5R7&_vq<x#XzKAn(|p>U
z2M0=d#^R+1Ed-Ix47TN+GtI;!O2o>lmD356!@F&@dWV~QJn=GrWQt4MDDk%6SVqW3
zj0ia)7+(c{jd6SyPIkX&){ZYK<zcV)nlya+q@83ejBCnjAY{9=tn@Hv->kyETv$F}
zi=&9YXVG>t-EC)mLR{vQ_?=3AAf|)Adg3o~4wXbI+o)krPFwS#u{j<8cirBPFLQs!
zm{Md%e{mF>J}D98b5kcf8sWvy_({BLX5}7z=pdi0ps7hQJuItxx@Q1cpKuaEBTKr-
zklktx-HH_M4t!eGT8O*TMSc;o=*FIiQ)rjGM9D&KX~4WU%(u@yBS{cS5c)uY)ce`I
zr)x-I{)+_9?p*$qkb<M`z<NT`B6$>UFEGWux;oIiIsjssCGs#m;pric!6n0+Pxkv+
zFi(mAVkHLE;nsA$cl~Ag2azD)W-03~ar@c-as3sZ8<u)NVypwry_y(P09f_4{%GsS
zcA{d(aTP=@@g#NLUhcoHFLyiMB#PsP`vw0VMF6L}&VU3ZSAcEU0y&lTQPx22?KEvd
z1U5)tz-Vx=HWGTW8_ZJY>S01UaP#Q<6&$cwHUvb~Yg6BqLAwE5JxH<9&HK_nZN9Y+
zyxA)WaXiJp7}30~MSp!L(o$3bu7w7uJP6I9@D{?cu=mqUzGWdVIF<m^LIj`|c2X#M
zv>URMy2OuO^h&FB%c(szH!Gnik1>-bL>x)2%}omF-JOkZ2HRi@le3&fQ3J?h`M_v}
zepz$L4k9B5&WM%S4iDAhN?C5w2w@!^x~$A_EVN*w-o8HCd*r3B-p4!en!ggE_qGX6
znCZN@yt`p<BT!^wu#+w=P0gEgkX~D>QJsiH4qWY@%w+8ysI+Fl{Q1!*s_>fF2VkKE
zl0+=&PEo2l`MEC!SNG4%icF&ha$kFke8wqe#&KPB^Q=g-TBL_CTj`KDc04Uic6A=j
zFH^PK+|`6Z$X_(~Cd^1=@YmRk@mvVT+mJV0vpRk+KktV_GT8>-mY2w*8KVXo^;#Av
z8t1@6h0B-pI}mEe^;*ls2HK_DqLBzurbXseOx%!G@h{Q&@-1jTd`V>#)$Zf;^D;76
zd=)OKIw~h$4{s#igV(oqQD|kaW}YtPY`jR%ZY~~f5SRJjX`mgo^dpdWrEYwm@uI2w
zRc_#EmWfgG$<WDnr5dyi@hs*itEqwCSGj&9Y%B!7u=`_<(#1}=$DMO#b052J=h(i(
z;N`;C?%tRf$5!*A&YFzVl*$^%7DcYtaP4F+u9UHCR|TRE5_Pg0{55g0s}ezr>l!5$
zmwf7+c>=86h$8K00j(Y^Tlt<DJMn)>QmPvUR)0hA1lu%sd_OuYQh#<4vS~pOv<Z$3
zs(j}9M0CJz#LrPfvfaBtlUuThJJA||Y7G4Y%I|K;XEiyFLJIi49ZP}7`Z6(=hO&m%
zQ{P0w^q3NPm1Kk+^V(+D-RK44$AWI~v0X~LYJR;$lpdUzom^^ajDO5DW<So<?Kx=X
zSahlytPOtS$80{8ot^zI$X>~`HintkILi^icDM8pfO~<Rz3~BfPYKdG@`rXYwQO{+
zawG{+<nLdi!Il5L=UTnbC8@+jMVnRs+v%`903Em5yLUUl+kwf?u6j}>={Bw6_p|?f
zTiMPaegXUw*!Bo4UX!+Wzsp?p9B190nE^8JELv)6QO&bpZw1mWhhrJyguLOSS@W^C
z4nMLkpqf|(6ERuX*x>k!AXKEx%~u}EWn4_z-keHq(1pV>K;|s?FUf{U?(7#8;msql
zRNK#;Z~h2o2;CbOXcQC^6fK&F_KPhe=!zpRb~CG-L!SMIKGyoH2arEWIFM&&D|#*C
zI*va#o!TkM2Cf=CYcdqjx<z7~qmZ9z--sPNQ-;NrN=Z&cshXtzP+*8q)_5oITX#Ln
z-Q937SWtTCg*~>*vm;7c{TAwG;;}VfM|lp~<6Zj{crAUz=BNIJA2Q34PZY){>>)-W
zj(v1PIYHQY@fWA~MViQNw&!3VeUeDkv$#WE=sPMAr*g6O*hUpSO@eP6LoeqvmOu9{
zGEqB=oVOoAVK9NeGy=~x-PN6KB<f&*d~L){;imL`^}hcsFyGws@{EK2M^&9H8fNFX
zac@FSn9pQ%q|Z2hm~fh~!#nn>NCM7&sO!P2H)tcp+#+$9PCw9BMHtoSeJL)&F0U4e
zxqce=_E&$cT1izo@b}JkCoP2oXa{oMvsQ`(?WeJWxmTqz{}lB>bA9%htHE~U4nJ%O
zRx-615~@q-`<p~=)xJ|G;d{{=UGmCc$r7f#Y+hVvteEh5mMgD{Xa0CQ)mPyJ>XWjX
zTtrUKT=eX7{;Uri@lKPC<TI=^aXqAnXk2yK%<3#YDd*Qb@SX?lf=x@@kG*ZVRymUA
zj(k|9M;6AeOHz&l1kgda<)n<j)&3g)%H)2t2KVLZbU|cepJF|hV8u6R4>GPh@I_uu
z)-YSN*RKz@UmOF5WuZ&-Y~l<*{&0&0o>t|?+7@9Y9wJY^V_bz|xnr_~`^Zgp77D0A
z-{>AzVad}(oAX3g!5oy;Alc@w7X}>K{*HW@EE~;U=CFo<FVW@WRuRHKg}Ew(9KIH<
zBFIF!&7&ziT?h%)%g3L~ESG$*^_Q4Qq_<$;d@V3XW~ieRjOCi~__flk#R!oFLtZk?
zN@?%$AbG#n=MOWUg|8(&E3xP&N|9q{3fr0qTfDX1q|@FZm*!JKb)g@GN{b^JPu<7Z
zs_&Z<?o4UHUODU>mWTuH%UrauMkLzkTE`JCrzk+R3xXD1lxDCY`_Ii&YjB=S`LKV9
z<q{3`^-Bs^IPx&JSJ>|*b4d^04C~R8GNw<jk7>l;(rZsGYfGZ#q7wUcUJGA-=2Tg|
zE)9u1w9Qt*f%&D~eNqKr0W8<F%NcWekG1=Bv!KoYN4<+7lYeNx@*gLDDzlf>>-*mx
zzQiD~ai^r|cQhm#9Y4qqPjVzIw&0tbuO{%O^4)!U`j<kc_rnqbf!Ab{p~J8|Dk?eX
zuy=Gu+%_ZXpcmm&xSeqqg$C;q?f-7MZlPZkz>%;`qo{V|y#RV{92}e-mF$OwfFfqF
zt91iOz0dUpo%$KrhVT2ccp6B@+gMq7{=Iv?e?y`87dti_>FcBN%PB5S;j*22##IZ#
zrl_11>@#kv1*`w|UGFNJnw?+On^l&(;|sPovBN0uf82p%k=%TdKIq+V(CF*8^dCXx
zJ!Hn}gljwO^|L7HFSbcwTQRRSOZU>|6i>V*YF9x+WFbOb0LizkQ1^Qw+WWNMoVTAM
zyFo)<m{G*|B(D)(D59h;(}+SybluICe^c#I<DjqT+cezm5o^JSI)AsS;axt=B09u~
zaZfvIQd3sA$3VclIb&hiQcpxcM#(0tNF7o!ADHv4`s-bC38$ak5B}twNlj}*9Dn96
zT5R#rb8sB<V@|dr$v@tCqEIc9Wx;*WL@tDCu^%2nKu;o=>Jleeq40&gd=oeCr`XR#
z@m5kvBfQSuuqiPlmPw$ul-jO#e#19Xe0hrzn~+1@7j|OCGvE5Q^!86MjlPwJn6wg3
zQu*d<Xfxa^7QUc|%C}KQW#^MR=OJDzBK%;+;zfdxe*~(H>{ikjBJF4-eBy&M0|S~A
zKNjk;N}_EZrx+_{C~t5v<X|H?*PT0hHN_s58;p8F{7xm#5@@Wqw8WBjl|{=4U`uhy
zy1a8N>D2hENp}5?+_LeG2{D_K5sf59inDIv7}YDg>*0nquC8!5FAOTQoJz+bH&u&9
z{4}Z07LZ31-_$#`e-7gD3{khsb_iJyad;YJN0>}!FqfW~dBWZPDg&(NH3^Kem(CYc
zBZ)1(phi!X&*G`Pu+0%9WkG3I8E2~Qo9>^~kF2VcU{_AR`eJ$Gv79?uk{2ljc3-+c
zA79m(yfsaNGfVb8X6a;NQ>(8;3Q+N*o&ti^y4;Y&WhF1-^sFfL&if<%?y)KoB#Y5p
z@*OkL!Mi3|>M}kloU5g$ujZVTdJ{4e+Kdq(g0@$lL~6uAE*EQ(MQLj8lX-+JQE#Ee
zpPT?y@WUnz+N3BIyXPg}rQ?u8U4`%DVQXsg26Fywwy>x{WzYNZ$$VMYQ$t{cbRSPw
zS3oA;v>}tPq(?k7>M6o~29_*s4&R2X<~~yLfff17Ke;MZq(EV8$8BXD3`C7sba!I<
zl8_&o97QMyV>=W^&ZrFf6aGlZwTu5Azs8!2HO(S|#ck3#Q|Nq3Sz<)gh1!$4oVxhw
z(~wzjG-ZwXYHHAc+966;OZ-WxJttQmqh9G(qE|livC$u!vrRN}?l0RNv%Oc@cwk{6
zt+Pt)r<kHJNYoe_E;h#Cd-?3SLm$Datg=Ac)buMaI`%Q+hI>;>IyAnn;pAcDzVwVx
z^CP=a^DJ>|z+$5atHIJ{<_Kp-7M<qkMTwU-xb7Se?lrC{0x4|OLw3EA%*&UyqolAn
zbKHYIDir;@NrWuhBwRK%vjHT~xZh%`bwEb{G3R!CrySATxmyqZMwVvYxmqAO?NY+H
z03dS>4X=QkQ=9nhL?Pb;zKmrOpl8==TW)n%Kz_ZJ9{?PVnz-wlIy-JtU07Z1@i)C$
z3po2EdGj4PTHI8T_i+o1?mj6r*MbD#{F7|*99RN~{I^$}VFXKucA9#bt-SoA(?IXz
zz?T{XKm_7y`u7%{v&#k>gu$G=ysGovP6b4OEb)JRPWRJef&aTfy+pfoyiP<AI-kXr
z)PvjEDWbmvz5ow8Z~QAzx?cgfqZ)vB02OrQCl75^IDnlz@#cjx6+UXgSzf9^T^&q?
z`^C{=B;q(_YSw>>I@`~$IGBpf`lx<E&#baOwEFJj#vsUesqNd07+WZ-q)92Ig)KK_
ztTxRV=Iv&#K4IFLdliV)pS9mZG+{!bQ|FDVrmHC;S(V{VL$Ad=Z-yAozpzz_Q<ScL
zF_5`C`)-E3#A?K1x$PB&PLaeP&U{(4fZ{~?jX(LkIg89a=g|}khL;^Y^bb3__!0sJ
z6VlZp$rL(SO%S0P=(MRFe>x7t*lj$-&>jdQbxJc~YT0ng7jo?s>#2PCf^X=3zu$@P
z2r7}tugux@!wQG!nye<~v4*K5L`qToo~Sirsm!G7VL?_^CKDA3g)VU97NTU%4nlae
z9fuk`A*8FBxr|4eCZ^o{$^1=Gt6X}#XQh7D&T8Cosi|M>+Y+(bDRt%Jf+>wT^f5ac
zj1fp;86`-0O7^d|94*S1U%TXx<1v{HdIh$R@FTLnyZ#}^pz>Qz4-jKaOKRWFGi>$P
z9gN)RFWx)ug{^iYm-^|UR)f-uI!~~*)ao*!g{^eERjTd+r}$K2F;7VAR%Brjqa=PU
zjP3b2V}k|8gOq>h_p*o!80TWQB9BvzD|TTVp~KGf^U5nmMh*G31wp5TGRsjtbe)&o
zgHU8%u)}>x^p~fo#S#r<LSm8=s@@+HhK)*sHwTO)hIn2deV=ynvy?`s*E4hMqdM@=
z#X^pJ9L0tu%{@bE8FAAo27^+%5v`gKB;}#RFRVw=N$tGT^d8Iot$ALnc#Q2EPA#;0
zui!%iL{iZw+LgQvsxjHs790zi4UG?5?}n-b<f=)9=s>=!GvV}DVc4FL;+h5r=Io=B
z((-%{73+5|X%{r}!rM1dY*uApUGnu(h;?}w{{xaNQ{vGD_Sjt&D9%OTs~>D_4q=KZ
z#S^PUihIwsZFpH<_YBvz61Tk{S?%;#IjmWEiyY6vkdYZQB`neY%azJ`?g%4W83^4j
z$W;NlOgUX~_!3x%xD;eVEjSKomf2qA$`~8>A8G+w#@_EL_amh^!Gp8U(kq;dKWsA`
z`3a%lBnOiS)Pi{my|s5Dd*_Q^95R#b=KXc(urG6V8Wem@Ts0AyAW(4WoOk~A4$4D7
zkTV?l^T%~aP2+h4;t+o|Op^ShKc=n}c+5ZOz_=+0-LGAJgqQ?VZ2yXEEgZluqi+|Q
z`e3X|0m1M4z_Fh?hC~8{leBP~{5MCDgE=ap%jBVm6|hSLA=ZXPnI$DVF?tj$de%2p
zssREha}gWiGR&I5Yrp*TQxdS-^qr5oWx)MLzaF!I!#beL@?E(1k6+dg6yI`AO)xH8
zZebae2Efhx|AlBSvCn0VEx7}q3VEmLe7YoEMl@`uQWnaWh-tGl%R1#Lcn#>j<On-d
zQ=wd@r?!vn;1+mPfvNWJ-lIVtx*%tz8M<h1@*ZtQ-|rZwS?<ijU$U)rrR`V?Okeof
zoh_u4t%|#sO^l{17fzB{ivyscS_F+Gx+wcIRu#Xlum*N!&c{?!mL%!^+}HZiSf}@M
z{omq>2g>({sjX>Uk1>j9CiG0cl`Tmy+ov>YuB_6&)8GC)zZa8aviHi=2aCB*w#${5
z>Pi+}di^g7GOD}xpOYloil__PP9xUpM3cYzBpgfZ%U26JH8457e$_k3a2<NxdN@51
zeul%6p>API^soSwRqjcOHG{b_PC0vf>Ir3`PkyoXbKgVf_{cJ63tqfb!pAtRIZc0Y
zhKP(ecWRjK)q8_n6jA&FM%9yj028?(uym(|>q}n}*+w)LC#OkiemASMU?_x5GyA^w
zixzt(-MCfffOL8_Mg41DDkf8JyeO%IJG8A~G3$Ubaj^PxRfoF#L-wV%3&&OT$-ArZ
z>uUZj?9}ND(qH1G3dyO&vV(t(a>XcjkZ$#j9dt1v`t$3f5HV%XOQprr;DKXUNR92y
zS$orB#uxn^m=wt4=IOrU()<Iwg3P8PxTkfp(f9B3sYE{pdVMF}TAW+MEnYla$xz|P
zcc5Ph5-xYh&QRfd>KDIXvw1F*&vO|gX$B!#r6Jf#NLd;aJbDXJMe?Vnu$h+^9OZes
zOGJcJeAC`QlggtS5GK?7tI>0JCySrseC}AUE!B`~@|(wD|0V=WxwlW4%#k-YDgYH5
zYG#4+PK_LQ(yQhHH#V}w!)()8aEi+JI|`y)J1R}BH9<=5zzW0U%*ZZ1*yd!>Wb7Z;
z`qLq{N5@{J&*t8Z@w;iws0e+IZqwhI(g9+JjOv+O*IF!fCPZuFB3Ed~%!G02Qec%^
zYc>ydbl-<{^gh<j32_fNYlRGU@Ys-l#aYHvT=F503rp4H{U`x!Ou&^l82ggc{WJ<o
zPDSgCs&HPO+QhnLK8^1=K~@hgzhI44cYdK#mr~5ys@XCx@8Fm0-ztX3rwOHeJCE#a
zY->gDIjyvm;<~J-Pt-YQakL&Cx2G|@*t-jp*Cj5z(wMRs!SLQrhe6I4CA+Ti`<2&z
zWk|Dq9SDC;(I+t&U}y@XpIS95lvV)_h)H;g9z6vzfU91bf`3>$N3cjN_aL4g1`N?K
z(ah0s%X<@PBK9H0z*g+!hY6A&;Dl;p&QZ_2KAiS0P<(CtvH(Udod3tjMUh59QSxRT
zv?(ha8%c?a>V+_;HSFgR1GlY`?0wKbPynH2|26Sf%CZQQpJ5U~LG!NL@)HR_)nisU
z6?72q_UYPyGNM--cva!iN;2QVsiqh;4WWpts;X<OBw|24`)H@#{I)&G_TBOJQJ{&C
z3?YRaStv-lxE!_l-xN%g>=N+U)n8hnN>KUU6(8<zOjJ7LsoXyLI0HOtYhyzsqN<@m
z{OHkVj|Ia4AQ+vT)PccxhdzEr{7x2l#B<asWW6BBi`<IkT}W+^RcbH}aWp3!TZ~>q
z9Mf+ZV7MFZDo9>1@<J2pu!J(?-^IylL|QN(uAclP*zM7DI8vVVrG263Z#|)+78^k<
z67(l^>QhI`!#2*POec7Id?oaoOP(`s;L7f+S7_qQTsl$gxxevGtL|tFkwPBjGxlfY
zHKAV&wy%GH^NtMDUTLeA%0#J?tpurbO-9z}VIL&sNz*@6Yp=#!NFmG{`aP8q=@1r3
zpmL(>VXkI0Hl8CZ9>+_^%($x(nclJVNMboiq3aT-gVP}qZu6YaOSdY+`bSQ;Y)+tj
z?zwfoI6S5>FIt#iI0irpDqBY?7bAMww7yp(!iE(fKpLWr{J?zWM*C$ikXet?*Rm(;
z<Wp=Z_tiI<t7LS9a6R|l_vfWHlQ>U&rfVW18!Lm&F`nYX47qfjLa@rnvCIi|>*I;E
z>NTl+7bDoqSn}b3CHt{&wwiKjSf%<!u|=J~ob;QVxH;66T1aiQ+#h$B9KN6}Ivasz
z^S_L~>xWIMG;v-Vj?cEBZB`yJcV&XLqaLpomFI5S-M6;5s+^C10<jXRQ$;%q%|}k2
z5}-Q8EOf4Zq50(6xYxG*W+8b2ljr+qYv)(T^qV8nLor=v%WdKOqqTw8q)$;VefEW5
zg8Mm4on<}H8dX<}g2Yi=EdJe5-jjln=Mo0y_~lYy4RDhYfW2YnaF?B%m?>S$_UdJP
zwVT5yWd6DCYIVI`kos>`7@D`+oiCr`vO8)~Bd5eMSJb^WfD2H7Z<&8+U9mjcPz$@9
z*T<)Yi?rDB6XjEBBnBJ)rH6ob`c_^uE&5Ly4ot>7H(59|U&<(kF-fv8W_4WETsR*q
z<fzYCV{MwscesszqpbwDAfmBaa%E&ro8P-stM`n#D5`N<PuOF!-py=l!8*<~@Ms&T
zIcF_AFgL^{MN5VFhW>QtGtQ|$eK(fxlD|}}@#UA>p4r^+$N=?$PuCCQ?Y^N>e%_~!
zJ*XG^FJ})-o=mkpji1neE+_2yet0juGV<?p%pA*}jXsSLyCPluNMVJ~(TzODXG2o%
z&vX<OLR&<9H-mcp_kE}yK~jxWTSv5CS<(=wk$g~onCWBBo8!_`Kk?KTjiY<*NlwD$
zUH5;4PKdm6D&C3;AhUS8MU@saJowW$D~2$aD{bQki}fK%bEXT)i|Z;|pAPnr<U3?l
zfNF$=Q=YH)%h3nr{YN&XE40h&lv5xo77~t1$@4x%cvpcWLEsM@fso}*f&<%OQL2l3
zr!O|9YPHbuLt9&&d2R~8EBG-1-!4co+yTNrfiCI8%}GAyTg42D+4fz9w<WQ7ZyP_L
zUhDB6GXn#}Q{bF3+1pF$_xSPS*yZ|9E|uEJ53K(yHjtWz`c`1Edu@UAQu}yNMd1RZ
z+8v&FUPr%vH<AKYbZsMv0U#Jd5AHO0^_Jk~8%=<MIrIl`p`M!3ZD#cpoNmi%&HJW!
z6+(LRIQPGpmo|_e0;S`sA7>bRBl$t$jcyYqoA6AP_Vx{+P=iA13aDrkAi@yuX&mXL
z#>y?vGLiQj{o>e;n^YtSc)(bVeiujYo0#Aqg8bJ3qOxqy&jZ_(D_Wrw5YW>-H8llP
zMCz)lvW~%JW2299r(eXZ@C!?>`l|k#@9PLM`tac`3u=ily|%iDu-bDqSE!h=yWykX
z%vn$;q-yqAruwfk{g95G95~@pgnTZ$YMu`Y8Du%5K~G-Jk2gowN9Nm8HPcKP1{Sna
zx^H|xJw~neBk<chjG?R;<12~PiuHMC70DzBo!64<c_Ooll@J=#=Yt%xblH@7%1njn
z@dNjlUqf)?-{xSrb*KiEr8C#s9n#ZAX{N%ZgxR&YH&PgU#o|q-H?jpWV)8uIA!Iv5
zz4*4>-&73ZCAAcj=E5NDA<YI5zoz|sA_4M_QC73R-t`x;SOD{w@<6)oBGmyCj=kF>
z-aIPc>7c(+IFW7yFVYo%GL+Ay5B3SS|7ToosYSkCJ`X{b)_jW&J0Rf*Kyz{rJ7;#R
z*~8_1tA3owS=7R!cFr&un_1b%?c*s8`dv+If7LQMicL;3Hv1>BzmI!d7+2)xP3`+>
zc`LURMm1{O?m(=}#b`?$V7%)88kMNOeHowkXZh!a5E2-VS0kcOBZ}+bAmab<^_D?(
zbltXa5)#~Hqk$lS;IQ!o3GVJ2f;++8gUd!ka1HM665Ktw1P$))aGUc!Jm;MI)&2NE
zRTpb_FN*5HTw{(o#)?O<6Ah`~PCC7tAF=Mwwreow1b#M6G;8JTC+5<<WftO{5|fK}
zn;oAPx$IAk1b84S>P`N(xI3{5N4Ub7;)gX}*H}GG8Ohywo&g7Ox2k>1e(4sZ`LI-&
zKW#2LO?BhN6Ol?AnANlNBiEd<{!pTvnzCp@gk>Y+oW`QJ2pz5~P8v*p)YRH5rXV!X
zUK@QikC1aErn!4SGBaQ*1%I-f`m#PM-cN&_-LJnB>viyU?i7X1)w8<m-iGSW_RAIx
z*i%~5Vi%+j-q!Is-#K0q3!)~XD)4eEE?`(f6~8q59UN;p%&WvH?7Gdt8I)xu64!|e
zvVx7w>X995<u%G@B`2ez3#3F~(eA`~V*IY=V#p$D7jv4OZtDw`av=uRdA^Qo(-)%*
z5Uec1>sqVozSiw@()Hq#g|3)6Wq}~)<c*Bx6i;n5zBhONth`a29_`H06YHuMyDbZw
z)>LdxRg&6F?zgphlj}C)$f+E0v7<FSaE3?6rv<`Vx8d^laN&ygi>I*#(X0<mp~f+z
z{h?^T^TE~0-_3^hW<~8-OT&5lj#gKw2pCfV4WnGs84b?^nOVLyM}4rG-xP9$!8oae
z@AT1*|2o9!;$Sxm5qA{sTNxzHq53^Hs)ZTK5kuQ21j74MRG`_WwcH~rF5U;sos;>^
z0Mi&<xZ0Y4@5t)=e_s5|Krfj89#^tjrV=tY-+k+}z-)6~s#d-lAW2#BA7hXg@s5D%
zWEdcE(1C96z1!05VrTVl;N02qo{+M{^FOzXw|rWoQlxeaq;NYrI?9;P0zEd&)z04a
z|14OR0_Hz#jDX?rhV2}2lMi-#J<+58oKdB)08IVQvj2}xuUn#%+S=uBT1~(DO}>4I
zk2mkWnT9u%4DAcUcZBA41(LVawD=52Nu}`_?PQ3^1+yx+6OwNC*qvk@${#{r(U3&%
ztRVjp7W}d48~oBCE7Hf?6LAmqdb7{l|3^_J^!xr{4wzeonhn+QyrottqAqnWzlvrs
zj>R(NSovorw)5mxf>}RNL2;Ir-EaO%9czMQyxQTH+6VIb41PRV(cYgXX?^|V#rc2J
z`jY*U>x);Sk`>C~kP;0stpLjxj8cjmZA<12Y)d5|6MKYh&?ZO?ELUzellxAd#|@;<
z2=Wv&%u)HqE@p${zX)l=%I}$t&waE#CcwugVExk*TN>GR5>i{;-W*JTFC^6v5q>#}
zsQCpL)0+PjYkEBa&E2}ugY3uAtJC{#y^tRFUh62mxa=qT$?Z>IHzuhVEAP!Y!!N4m
z>#A$@G6ftB&O7225xsbu36`mL#v=)SUo~J+DOuU2^hyL~$RQ_NurwsDKOh2ij3?)$
zN~^bT#!nVFfuYNsw<_S<D)+eM$4?6z-kF70G!B)`$J6C>D~7>vq`bXbz!^4<D6ryQ
zDXN1ll{8VJO~^@^!vMIYJ>HX_cAV@)RnbCvH-A26$+9+yhozd}mxPA(s9P{5wE20`
z#Lc;bZRQ%k;?p=DBOaW8=T@h;{ra7MHUzErT~yA!-(gC9SD*npLA<R0AA5?_L55*r
zWjh0Fu!Lfn?UbW3l?CHH$~ssq$8-pr(?l0J2VnRL1Yjq%8WwoP+`bH|Q~4HGSA`1v
znK<^h+ZLk``6My~o)biM5&`D!O#7$kvnUy~WekBrvu`=W#r_sIm>dkxAm`?p?8v2x
zvu}#ym^d!HS+M!VCzbR4;yKv55EayThW4W4_}27;%8mASZ#y23F9$$5laJ(}#F_9@
zhe_CJ_j3p_$M&gd)joS-)ZbOGWj2+F#{G(nL}=XE3D?=@G{rh;*mCS*#L_ijCLYS5
zK<EY*H09eUjcF^=t3?i<8vCgJ)5lD|5}DU)$WSn>4ZS4(9`Ox-wc@Ok94g8glDE&B
zDkJBPgyvNm{G&|2%0v#R2+*Jd12i<Rb)NtMqE^~51rO`v$t!}8bT>xBsEjw=Bxo6C
z*1z%R5a5P$BX}mYT+2>gXvxdc?vvAQ_r-(kcN0u+#9C!#NrgsUNb5yG<Qd?K8#;6w
zW^sS4>?XXRg!zA*<^C6e6TJ`kR#c|c5L(vh7To@)Qg{))LwAGO2xLA39eIt86dvcJ
zbab-lK4ev$rl*YXT<t!JzyAzmjrRlOw^ik=A37TMQ7a4@cVx?7pfvhKjUNn@IxS0l
zw)HE95Km66=PBhgCzYmFud5D{CmU_)@j*o(*Krewwf6q}P8R<kP|3Fi)|5i3cdDng
z2DFU;Cx|D*A;6rQis~OY{HEyhKL$C6Lt4D~SX`jgM=^?#QgS++)Yf%pg}<pC>TiIN
z=z$ixWmni+>JN0vqBmzE`>2RF4d;pa7%>s=!+gk^nc#qFVNJ_@v7+=;+M|y$JF_&V
zfwHhLrUm0kA8C9$sDS_YD1#Y_3v5Pt3!D~>H;<azRZ~J>#m{{=lbpzT{A=pVq<a2l
zgIG3*n#4GHT9=M;%Rhq;q$hgQi?+%NMBiKG4bcBi*yCA@%Tl)^l*d0SBuAZ3j|~pP
zRjXluaMwt9Tv&9lS;_0}jfM|WYcu#(Bbg`(^W8T|)kg$Oucc3}hm&NuBGP`KZX++9
zN>b3twT#6fN^k$wWzR4n;hmVHM?#;a=bOlh33(5UjnMiUg#6;JXm|5tI8+ELXv=5t
z5QS~LQSH}R*&Fkm_qV7?l*`@u5hv1WRM2)=c#gk~Mc@$A{F(lXma5%AHF#EJGD<2`
zr1hYBp-jL)iPBwrrcUOUA|1zC<X6p>9Z8Y%E|m<Gx2o&?>hta`)=;yhAipz@y_o$T
zgQK5N(YQ$;u8tba2xF)V_l-I#>_q4h{m4tJriD_nf#GP?JmYU`D6|CzW#>B6c?{tN
zdS*E4hF937=nfPt6UywRqtIh&=7N`-Va*v=-+<WQ%_yG%gXN*Bf!3o@*!2oU{6;Zb
z={{Ea;n^;lYs<M)7wSgD?WG=JqBEl7dDKGk(>$C{)p`*Mjby?e$2n;I%NhQ0{ps}B
znXcSbfj@BM3A)VuN2oJ(U0oRWH<2W32i}<tE5wceQZ>j6gjm(?I6%%Le}6a~JD_No
zfXT3De`EFsw%ILzz^up*&vB7$a?-4FCs#cGWc*-rM^XBAyW1&Wv`O_(01P!`@*q?q
z;xOEvJrI0Jr_2>2n}<*5n6EMcC<>GrmEJs5L6|&fIL?1)wm2ssUyx)jI3pV27Vb_~
zR@bQwRrGpR;SunK*W>O?mE<Y(2~CQobF%R?+Ty<1F<R+4o~pS9tFc2%b|ime6}LBs
zNfeG?YH_3xh>da1vs7IOUD{md%1cRREAcF-&t)g73hpp4WRdUaYnWp2pnnlKZy%nA
zT(m)Ua+88c8UyfS`3E0)@vm-c6t-Kro_g(C%d)ert*s~=3!{sRytZRMfho)g&42ip
z<z}EG-Vel$lmVF{<3$uP1pAK||L`{G0P_QL{b}Yu2I^zXn!kYXiiZc!Kwr-nrhviC
zlj<j5<tb1DWi$Mz&3|6;_@{9k5y0gI$c5Lhi`4#;tzlUYw4dm6A>vQs{l_|2<l_IZ
z+pWm{z%V!Eqxc=*38o5^L^p*%wkwbB^RdPrm=-r((O9~f0_+@|B;pJ{k|d@-OZEub
z|EFY+<4AE0FjlA<-^LcGs;NOF{k?-5`VWVWi~#WC#aUStn8DmY>TNw75K|~yPZpv5
zkl+X!$Dq15tqnAcq{~Zx_vIZ-ExCZIp~=pEcRDhrX~F1v4!9lYSu}hQ8@FoNm0_1l
zx`;;(3E3LBZosMre>iiL-^Dlk!|)wK@KhLJH_qh+XNgO5x!cFYK{&9q4m>{8%fa$)
zBH(vMXWQ#0f~kS7I@5AIJxqsgH2<kM4OUTBzhKR&q1=uc&Y@xL`|7WaWXb>uP8ipg
z$OV^&aQotm(Uvc0U@(Jx#|`<9KSnVEF>PjiVo<!jvUxmg7AI%KO^kwhYZd|ABnEM;
z(8o_E$zJ^~3cG84Gn)8UF25&*;Bz&yHL@B+B<U?O`}d7BLuG!;3wT4K%U_3$upEy1
zT<?L+%4cR7V2EE6Pud4GXd2Du7szad<=bpj50O(MN>&$Ec=U~aKM2dmC>xihQI1m>
zCCYGDnNudDfk&AdXq6g!jDdD4^BDTO1{^*O<&ar<dk$yed}p4tO1J+=XSk)5lN=ku
z`8zvBqOi4uVMJ|wxpz*;@>P*qaXFp^WjLc+>3}?@60U*{3u@mx`Emi+lK2J`s6-|1
zg=1bPH+J6o&VDA!esyzITtEkF1UK8YVfc1ZSy&)*?LdLyuIoVOHbWWCD9zAWKDimz
zK<5?>p?1y%97b>4qG~C@->a2r)4&KciqkJ0!RMEK@6HG3GpYI5O&!SRzpyS3m##Or
zmhgd{r)_gg4)kiw3N-h3nv~}(X2n-5>{^v%+XM)PvJ^>FSbkax68`yV>6?npaElO=
zH1`2G`^tS9@m{Mk9iiFCW-5~VVMIS6O}p~<1yB7AW>re6#(3^|yPO*%l@+oa{sFJo
zi?Y?`<45Deq0F_061x$_+5*cV<qy~*uilASW5dZ~=Jyd4wS707EuW~_u2IEw+S}x`
zq#79s#u_O6L)$mtb|E>3uR@h#|9!LbEfr%p+<W>)3*m4BNhJz(OyLmBE*DsSJ(?HF
zA10i4RUU1AdA#_7{!YpVChPE0)}!e%`N=RO&0`l+xmIbClO&m!=g=~KP?cLW#8y|D
zstmO8u_S}jaL4XTj*dt|!Lqa%9h1ixGp@N}<R!{-L%pXu$yZUC<PI0-W%?{jc<+<A
zvX+WBQk`_s*%Z2+I&I!o(v|(ixOQx{>t-L!m8>CEVgYukG8+WOCG8upEI4D#$1}JB
z8g^MnIn#5pK5dwnEFb5+9?$X)V=s+ZNEg;1B4y(mPo#0ZE6;9_>7(oC#cu8cFS0p^
zXmKni?p5C((Sts(piE#`=K|*Cm9b&y74b)~54NY7B==iDIl=OHSG;sn45S}8+S?C~
z`=blMlllSQR#5KNjQ~T5-Kk<=$w^#G5udQ^e||*jHwZ(bC;EIr_wow&s?g`M`Ou@r
zBCRFmDD|>wbL3(EPuwucKQ|*)C2aC;X$OXRpAt-SWz%@Q#_=_K1rPtdhoLi!m;dz!
zN6YnX%i}Gdd8raj_QZHx>)U_tK>c)wtNRBajRa|HCSKEC`}xC~%}1n;PkVmacrWHR
zj-&r^LGsfJ3(zh*1NN797CYw+3TD>UM-|SjRFfv9AjN7By@02C0k2LVckbP<5KxS(
z0#waf2&onWXJtA=Q`Q`#q!(>M^w`gx>i5sC6&7hok(KYd&v=3GD2<*yTxM=D48&kJ
zsj4hHY-H0Us?bp%)Yb%2$qZM-aqmjs=^i|@Fz+XqVo0)~f3v2$ln1g(9yS?^Lev)_
ztt&1#*&%x;1EX71Pbq|#sph|)xTa^eu56MyWj3}rgXW8=TS;U@7QC!ZzxvYIxuy=E
z_x3$1Z|BOWI+1!x+p8fpY5P(R8sbf3J*l@OzWxe0q9HgGBLyY!klS@*j10W&g3$q$
zwWFHXR`W@b+-<X&zY<Cx(5HZ8YY>$T@py)cAX9Czs~nW1CFn}19i5}3K@j>tH^qZL
zn<K2P@k&$x3vy>-B`$L=u8(X}V4nmUV1b{oD-Acb*}`ssgHfkvztkDcy<8Jx*PhZl
zf9vE-$*J5$(_#%To5Sq^Ti)D!$z9!b)9R6dE{h{NsO(~<Vs5&ohoP*-9_0I#;ijP~
zXzF&XFLp4l3VDL6GklkMD<J1>O^)1gKgR3vue3dZy&452AOV~)#d^|_AV+m#AUCL{
zus<}ov2xFN>}wC<K-HFIgt^TsMTJsziCU0i_Ac=h*&N<z`!PpKhtq76Jjp8sYYc-%
z9K)gS6&rP=+x{k0zD&FdzeJ$!Z!(Kgr<)(oRJ-sWX<TJn+<yJ4{^iu(A$z_YsieAo
z>ZTEh@maawWj<a}f?DHyF=q+4Son}EyJrL_V*k7K<a|{xMVTGixuh<_Y6QxVxTdcR
znzR?RsPSzQ2afQY{%T#{O(@$)T~7c~8Gh?|o{~3A7h=IU%(Sj_V{{$-0il4;{ZUV;
z8Ah;9(FMET`%eK5eXRQR(lG<F8DPLFW=oll)Qj?z^L+c#YK)9%HodDA|7%~Wk)}$j
z7fMvU-9E&I_<aWTYgMO|PD2I)NWL%_{3X7$FVCenyzRjmk<acF?Gd)}alCl?r}RtI
zO^O=&;7Fo;2|_wec|Etag6-E{JLi?Fq;u0d@unhD!sFBC$7fn;YTtI*a)0{2{miJ?
z9FfNVlFR*d^_;=*J_qUb;p~woeX27`^Fv2*pIxUOESwL?BpIb@*JnI_XHPz|nsUNM
zI?CzA#|K8yDly6xYu<<+v?TZ5fgR&SoAobaP}*J?jYu@cL(yy=dqnecoA*Am(fow(
zlN@>o^O(es*)ZF0WAnnA5N|M|rCv2|uajr4;;9&by~Lm!M)k1N$}}la`2L+<St=Ah
zwLb_|my5Rrldwtu{%#|5E^|HKvF6ldi0kPwZhp&!J85=)7xs(~k-|P4M>;_KACP&b
zke^(;4#W*U4J`q|E84K7&#TZ;0Bv@#2;e_^)-?3J@6>(HjFkKSY#hjU!Ch!>Y`hIf
z8oo6(e8wZIw*X?jaR#hd4}RSqK+DU3LF*PkB@7z)Z_widAnVmu>1=In?GjLn;To*~
zo~!Cg5zmj*+y{_2q}=6n<H=G4c#6VOebDeT0@wGi9JXRTKTq<-!<&ci%bdf2uK~%>
zIn<s?CRt8m{q)){_5Cy48Fdg|Nwy;~HXS`Vmp-uHus`@vbD7eINASPC$ER;lRHwg4
z4mY=vHkJZh=c{Kv1!<Yj9}T$NW678Mju=ktctFn7gz4$Dzd*;t&s@vlKkdfp21SXB
zLfy*)4icQqFi=-}4T=S!#;E$E)hW(3UNo<KyUbocymp5W5z@qOJF))sm~7U9Vr7QA
zvhaIFgA%S>>9yt`13<G3_DiGHZQ~v;M#Vict>4kZNWnb;R8>K9GyEO?b(>;Sfm`de
z)|o0!UCc8GSBce}T;)>G8cu-}`t}ZY1pWb;a5HB0-H8m%4n_<j0#q0GVH}L+@SHL(
zXLn}>sMNyzFBL1Dx@9)-ZUJa*T}yV&wPULNP%tSUQV5dP>d@kKVVtT}3cMnbB^f8f
z<lic>SSsyWK8Z2W?Ao!<#%O51XFDd6|1;{JkVq#jj81}e^!7He>S}$y+=mj!YR`Nu
zgWP|#xy(xqDf)$ng-wLvJi&xsoqL#Zj?pL^?eEHVCb*ZcRfNlLWMBw85lJhIkl+Z^
zqz${W_$ak5syhacPC2n++3ORL-v_Tu7@VbV2I0gXE8;SQ1|q>(cT%Ma*+?i4pfj_P
zBv@Xp>O^Fb!BzL(s+dN771n{C8;vvWkaWD>4U#QERP2!@;&+>6^#11lYmh&-z$N;$
z72XrSie)m}Uqe^`@@soe!LFQ)_swSR-&)a6Ye%z1@?+komN23cwtstrw54Lt26l3K
zxetofQ<y)d^+b9v`|t`H)847t>eqRZ?r*l^p2<FT_*g0xY;qQ=AGdN(Ve<PGX6E<U
z?TjWQgZR8~eeUi^?@R_9n&EZ4jBcp(E8e`OpvBE`n<7Ucq83-i6~{;U`Ob-*w0Q{e
zmn$YhZ18H!^e#igC2QtzQLO)mm`I$yERJ%C?|zjLUp2x$>LcDRzs7v0DnK!>4+HtJ
zMjQ5W<V^5E5fZ;+pg{W}A&s_Or!%#h)lTOQ`C4A9VO|k}oehsmi=J;Xs{c5{l*~NM
zPd>;RqtN#OF@=2c6WNf2GB%bdnb$4BnJq#5unB@{VJf92!=YA$nGu6Q-|K*0*$h>!
zj4=Y<tggMzB<T6jRd+@{cS)0rjELM<{qJw6Z>vC;3#0F~>WMEMi95U2n`=u)S4Y*e
z7GN|+3#mgnY<Uvma~ruTa&U0LSS1S*S#3I~lg=i{@(p(6430)`RBOrRdIB(7)8<3s
z&x~`cn3BvlghF9<=XLK6(|l)U{$#<E#t|>JYGW2m7ATmV?@T^<9T=za0Dq$CUl-Lt
zn$sY!@H0*%V*x7#T;1HBT={2v(%et_N<H??qk7%Ftp2N5d-`V79yo*XztAG&__rh@
zU|hQ2e)HtP`B1#{(7Ade_|IMcngwtiseT(CmKmrxxxS+<ZL-w`-Q3)Orr$r`MV0Fb
zzyJx=F%Yq0ci+1pAeK8W!3G-p-z&hHcWI+kG@`g&|BY6!css+NflU3?5#teVFOath
z^!e^AfQTqZm*nStpTq`o9PzO<|JN6gBFAktaJsmnjU2q34oaFk`f~F<dWvj|(X2ct
zQypo5BU_k`DWhwSofTCLhkh=anO?!M1?0ey<*z-5$A0eI@+z_d1O1afKSx#SRK||T
zW@48E?Xn0B=Q934&36drYInhf=_m5&aH*-O3@RArj|fQl@Zl7KSP*-MHX~NQLA0w;
zPOQLVXLQn!DFZ;I_BqMm^&bvL4%0ErQd4<5Ux?71TDa}ou>Eg^T{@_a9~Ce{8KR|y
zu^`w5)?d|Ee}ICmsWv79*w+cVL+0Kio84Ah?>K|oH&W|B%EmW}>>R~D^ELj+_zZs4
zAB=1$sF8jyG<c$jp6m>%VOB+*utEIp7TN8__`Eqcp>Ia=f9e|Ks~-y*+d}NKFqm1K
z1Z81e2;&w~Q>?z2zFtuy`)jK2*r}BMMxRZ$=)kda)IvudmWr}EZ?ZgRr8^R20iSiV
z-A7DM_A{-%p+WXe2uT~;6C!*##WJv+sQ7yZ-HgAW4sLi^ZYaTS0`kYahgD`M$e{dV
z?wfHb%@eP?6)r;B^{eGYdtC$_3>b${uFIX7XDxu99<Q=F^V<&4@4*y@^*LAin!bmQ
z%*A86NA6)f%RKkDW=eAdAi0-r4JmJr6H&xu!h7|lv-Cfv#*&NSt?T&g57`zNTnzVY
z+8lBm3=rIFw*=0C6E1Ul>hbvswF&uV*i^Apf43qI<Ck=YDwh29HRZdP197cBPQG!$
zjX8-4CHvkJSUz@fk@*Un*1A+p*jB`Nuk`Cno0%F!VYi9^gJB%`jMMi)ds+F{CgW*c
z)`x2I1;VZE>yw)u);S*%;zh}hF3!Hy-c;BAv@hBhH$7fUOT~O-#!xg4N6|e4<;&#o
z5=tcy(9?C0&f0Y|+pz`DAYj0MrP-lRvKw1KE?o#Xi!m+v8tX)$oTUxcn?mYxw=n*#
zKdSlNNN*~`3!9A(@5qy2LfJaq3pv*{@vY70P!59_Npv<iSlQ%GVZL{>@umV{4AWSv
zNqhaLy0BpW8tkb&6{~SFI^4E0F9q(1Ak{^0iT8tsOsZ34dgN)+;OU(Y827WxQvBd4
z&2QlmeV;zK)G8L}t@86NdX?-;xQK9wb83YUMw|_>+}a4wPmE_7>2~u_(x#>$yBc95
zYqnoD`=P_|2|TilPfXYYLhSA)?(4tN68V4;zLu#m!apx%lkhSM_wx%{@fz>~WP}4;
z^>0Q;N684jT3IcX*<kEHV@>@Wa8!K1nH{Iq0GPAmPHzAv{w>$CkES*jnEwDted5y+
zV?bn0Jvlem0MJ@p74<;X(*=HpI0Nxk!mEK!An*8QMn8f+qpjg~feb?aPhn#l)A4^}
z8>TH_waj<r%QsVNm8MXjcJ@#~`|pmefznJI-d{i>9~h%`KZa^ghyqldwJ;CR3;M4u
zRa8A~Xa!I}+;{NZbwovBWKRI`FHfG+0P@lupsRQ&Abnc?9NH3Mx9@SoM%3r#c1;86
zEDW^n4d0%&pJeUESpPwqA<m^RS?bNS=XbxxxjuDn4(9wuE{um9*p+TLfNsJqzduQ4
znAQm&mRA?TJ_d^nny_VwD&s2_rmVu<r`3npS2+}L1qCFow2){Mo1!(-tgXhqQdn(i
zL9jzsi+7-7+hMMAOP7R7zuj6t<pO8EOn?us5-t0)5TK1T-@XYJ@a*h=J(Ud3$V3=u
z0M|>pqv{r^!1oCI?b`OENF5#*Kxc^Yy@CHacD7*u=@V?fqU!a2Oe&2m<_2Sdo>3zO
z5RXH1B5v;DXoeT^X^5EGNpyUp`c3tK!ta5}3@)EEeJNpI$ZJFD(`r<DsZKKX?m3Qc
zQU_wfRe2L0V4OqZ?Gdt9xq*lfKMwsMO$<qwwSrJk37@y6wVWYl(49_6R@YBOEKaA)
zL=tVN8ZFt?FPXpf{e7a&85O~1YSK7o15pjRjpxT`=3_Ip=EMAoW#f1$XQ?c)#tl`v
zFmoilTNacS8&uY?!<{hTI2t{i>hjNF%wIRBa+)jYg|g>_)`Dc2tdl?*9M$GFccD@}
zT$Sjh1jdF5gZ3F}5^Nv!*CgwVoUu-bnUUn9(z{mi3@M=G`@icn)q>m}cOQ9*lajKt
zs(NsL*GA64I`Mi$Z2nklcTvnKVCZ*no|^jb(KM4Pr1xq)Uzgs;Gs~nVRH9mQD3Dsz
zXy8YI!$=fRed6^5NDD`@TxS4u#m!uq4Qh)2NFj?grAc*rp}1-@ex;ydMQ(UstoFD!
ztuX61Zq~6NAvu@Cq^LsgcRL+3c*vHT-k;wReD<b~L0^>S$uoVtTcu__F#VmO)^?V{
zltWUx5|MA(6KIo#o021&;GD=rpy!>ST4Kq@(UyKW_d`6rqyeSAQ}Q)324OQSm7M7i
z>*WRcD-VnD`nhQS@V6wLl>6pAh#Mhn$N0C*%YiVlO%`fnK378b<VW<O%HaXa;$+m~
z@1r<uP;YH!2~v`)?Ka=Nvr6uFXu<{KQnQS!9Wf<G?cO%B>-A^85h|j@t>~b#R^AsQ
z?HKBZrI;Mj1l!b)N@iGUTm*o+K7xxG2)UwLqfq%y#*0*q-Q|!O#xr;vHKD5O0#nlg
z2q4-ZjbBPEHfr+;*h{a7*Nn_O)9MlZa7h1tZv&1lK1+vB0obMIm%lEX0bf?uD6zq%
ze;KI+xc|GRhzm~n<m3so&a~*vYZq(>N*{YrpoU@3Owi;=G6x{=S+h$?OmqEndtX?~
zl^`WT?Et8x4&66DK~3ZSWr|K5R~I;r!q-?iIJ86mXfilGh*+Un0zSz=BD#@@i3x@U
z1K>B8k90=@dM=J6F%D7O-=WuCF1k7GC!R)iZ2~ro)4L8WOI{B-R)hz@0aLhkHt&8n
zW1iv}$0lvVTUz-5#KqM=4j{CgX?Ans{*|6q`;1%yy#mXMThA~Y`Tkq!m<e5p@ICGo
zz?^*n0_36Q34>Y8Hz;{RNJ8~5n7InHQw%vwFgWjlhIpw@UhKP^zl~?*tesc*K~p%3
z^6N_V`;_$UDA$&cz2f&fj$ePb7xdYozv91Yy3K`LP4!`2?ZNx`KT4Vrc>>wn`u7$l
ztA$b|4(sZ{V09dEm-`WWx4C2#KKR;u7y3jQo)C66yfa}78x24ILtoY$bX{%uT!IcP
z&I%%ZHklNWQcaAE_ulNZDsIRHU-^VIiMez)3{}Sc#6S(@j}Ca)1LJ>&Dnz2uU4lmj
zZ91;Lh0ce%ml3R5JQC{hubOIt6E>819F<T_m(6eM661a!y1y7V6V%?#yj;_CLEL!k
zk+m+U6yNJ;K6&w-2E7CGwMwnI{GUJvCqrs!LSsbKdDGXGAHzSZ^LJ)ZTIl@&A1f)f
z$Q*Phip;IprHk(&<8u2F<nU+)0FjOlOOs7a?A!>(J0+k`7o=rvFWALAF+EH6z0>OT
zhQ@Pb^=>B)UebfX$B8flFfcA77=jc&D2+zKb3_YXc)=44{4=#)opzl^w<Ia0R~+3B
zFZ;Vj!&dm|-7Vg78iHs4wkQ-ZZB)Of{-WjB2+IEG{(yT;JVWK0_U+iP1stK;avhce
z0nW=#dR`8!(zi$LyVmEa#a|#3J9PmYk`=5eGaih9Y|RMnx>Ni|xB|k!<#dbdJokae
zQHzup_+b9elF#?O^T&4W;c=%OFE=qD^yW5#`vDn6f7~#UxyPN@(9wSu-ly+n_C%z?
z!_H(vefNDzAO~Y7t?z8;xae0R1kHJ0!Q9S3{7=JQt;dTRPW?cYh2G_+eXy!*aADB0
zHSB`agB3Ol6C#vt)wFHPNS_5xXkoz!>#xn1cz0eD*F$dv_LO7|R?IXJ<LY#o4DEI}
zF9g264{2fXrpMaq3aK-W(vPjrqh5cUw92c`e>|tsu`u{;SHS9r!|{?;*Qs#v9ib06
zZZ5PwJ}*&EBg%)!4UR$FP`%A{QUh|o`pu>f`(ozPw3#kuD?1WL2!70ahYniw50AMI
zDnpX{g(PF`S$WK0w|+{x7<IrDEk}lxMuj_Ur~sdjDnd6{5d5i8k|D^>xTp`kl0S#h
z(TGEwKWR8YC98zi)YP_Hb8TX9zl@(!Z|-sA@OQ?Y@nb0{3P|S(LAUK&)?WVaH}Hkk
z|F~#PZh?7pq>LLdtemCY?{e?dD`)53Nc#tG7G;iL7bWwRAk}7*%APPS03l>`-*sD3
z1q3Mk2Q(N+n!GQ;%*;_kM)#h8_xNGVg`v#HPoGAXf}Sx;1AehJEeY^i2V#-6Oc^)y
zZ>Z0nKfVb2|HE_t3uR9X_>#AF0kRPBREAb%^@ooR$<XEMX7-FOtW1+T9Z`8GOuZxh
z#f7ZNSah)2*cin<RWp#0EEd0~BMgm;psc!T4dXDCr)?iD|LFrNoYOs0+Et;y`O9&n
z#jAOY>{`?`#<FG6Wkmn5vK_s#%(&n$ikwP6!4!2LFQ!e%y?xkYV6``3Qm#LZewX&a
z{CF2_A+yUF2bSKS2^F{fh~7JRCLsfP?q?SvKXO9_@w6Tj>;Q+QeRW;~Gd*m#4TWlv
zS-GY9Z<g7_aiH8}G-Zaso7voPF4S3!v(u;YZVA>BX}N*%3gaEBoOK_|m_0X*>YB-X
z9ExzGxJSe)oh&*Dx?YK;iok@WeG1^xT0)8oM`=HqV=vNA`iOQ>g9DyyxYR79<Hy#z
zR%z3n^kGG6amEwPAZ7h!`j(FHQ_k%T1HBJ8mNA^Q(y__An}2Y)gjDYrh%V%?CaGGC
zVJWzKK*O5GKe@{5j4a$fXH3MeR65zoc*q`=9gf%+^Oj>l>4X4bW|3T%uEDkpcLBX&
zX=BM(F?NZz>Go@YA>4Jo-u8B7;R(93jj8#<{8uwgh&JEA4eRXI7s%a_!(Nc~f};==
zMnA~K7`Fa=t7MyG(ESiJII%ahM}c`bGcfbEw8;?^ZLM>MmGZv&1@C2BHADzTAA<eX
zuUr!;(I`jZJvpcI79H8?@VWKj41Dayu(_O(xdZ3;xF5mlVo3TvA8n(v)<H|-h>7{`
zZ8e_tQoitIlSfCzwx`3Xtc{q0@Ef1atz}dFtzwzoGjI^ml;ua#%$y>NRKR$f2XbYg
zK|Sj$L1U1q7A22fyL}%MLZE2mTllWRuwgie+E7ZI`M7V9qxqFN6ZNjYZ>l0MHRrEJ
z;4Rzh$u#)lLV`1--*`P`(VCAJ@@>Tbacbnx%K?1#s=E*Fi=>6*;|K`_WNgx5s|7^S
zic|D>v`2{U>^O8st)E5<8`A01f6QGklbDz9XD@lP<!5+*>EXUWL8<%*tLSHF(;*r-
zD896@E?4ovkpQY!@quiuKt7+_sF_0cZ%T;5cVymjti=iisC&;ngyMoPL=kS-ME4J~
zw&!psxQ|jWkfYbvFITqB?zH41o!-rk&Ud*JGuK=3r0$Y6>zS<N`h%~nv8H>wf%?Ys
zwidI3QyvO#*`a|H#so$P1`a-j%SE#$56b(*X!~Q^96m<4dBc?U-2QtOdkfHuFVX<C
zY}XfY96beR0eNY5T%t`nl$4YuRY=e8cQ0$)Ir-Tq$Gy7bjxWezB5M+jpPwlpDZ4kk
z0*4JHBem&hC|Vf9sXUE<pxOST$3u<;&*R;x*QJw}Q~sC4A;4UO<nB5`^TFmB#5Ad|
z-d;ghFFg-0Q=M0X2lx(v6PgQ*>_4}*q6JP%@|@wBKW?5ZiU1cN?O~hSo15YP4N8o!
z4m}QmA>PZy0q(8s{JU$y=L4WiVe67N)$=bA`{EAit{(sG+dnlH^Daq%t+g068yD9u
z-1zf;B8B|{C{f5)QdAu8?Cb=Hr;1hv)xV-^yC@n+X$9u;g^dvIa<|XWPaKXW%$&SM
zU1*mg)tvSP+EA&F8C_@(_kKXdpQ#FToiYUH7HVqLp>M5_%`o7X1&QEB^v=GL7IyX5
z)PY0;B_OY}%hv*`wnoBDnLnzJ>HVpo$XRP$#vaZ~ROA?c9QRr*?MmdWn@9;ZJ#P1u
zs^RhNgT2S&_#}Ukj5y7_D}>Gvrs`VlyvFKY=s?+pYIL?EK6v~P7BslT=cWR^wAdY6
zoo8I>9kJ+QBtVu4HJ2~?2-({o2{ycA5Tpq)yk8?BnpoxY+=9^CJ~iEX6d`x^Bf9i8
zmS)qdk2krh)pds{&Jyj-)AWi0pGENTM8Aqst$e1zRI<w1=r*YHyHde@BwuBp+PEzh
zxC_*nyhHZ9&xQC=<R@}4PPeOmb}#67L%%mIYs%~ZZ@#0l;;Z3{ce|G69Kd8jH(%<{
zqC8196*fAFs4QEmh9<L)8Y;HtHJw56pvI3^B=asCi#E!W4L^e}tmFIRM(@oZ64g@$
zDa$c3jqZ~a0zn<sT0I3_zF(i#PD!B>Y*#vcQE_NwD~H-}fp(LY^sjjFq+XZ%7cyK3
z<cABPTp#m&kF^c8iY@w8t`or0?JF%zuXidlt`;<>OCKNsAg3@*>g<==j4pd_t^n;z
z%}Jl8KjkE!ZmOFFA)2&qD@$pjCwYtJn+|Yy&LsWLzf6q6idfzV4dsyr95~XQnUFH{
zlqp9H{D$jnM+(fTy6OwZf^c7zOhOi#&0KRTxfrSisIzNU*-pLgFeiY7DVH16hmHYA
z755nw@?&>q;#{P6ybjW{^L~$iBtPUVahC3P=*L-;<$XVL_RXXSg<t0%q<<~OlpW0x
zrYc4cEM^MZuDaMGiQ7&Z(FrvuwtxuhoP|ZTu|><3ky5S_HTI4k1LajLev{3A4#;{u
z!H9^Sw6U+PO)pDxeY7$kqr;U@RJQHu=Kd3nMppi(@`I)CQV)@ISCFKWVyTn`T{7^1
ztf4GWe2L#<&5~W`OnxX|w$a$NYzz1{U3c=(T@FfpOiG2*NcI!HbFV&`IcDmLsj*z4
zzu47FerCcBOG=-GH129l6_&eOIw|M881f?kF_m4yL!$+IeaUEL0s}j2G;RYLtkCZ&
z_mDhZjUo7$=2h%(<q-#}rqUWGv!+)t+({6GTy-UE883z%M35FtQPr4_Im1j_Dhr|5
zi^v7~)(()zex;LGo5%x^w;aJigkJSFXOTEqrMp*xR!}v;iK36#yi0Cq$f$2SFjyw5
znslu(=0%D+l9fvNGPQS;bV(ycEbvY5BSG|xkM(4Jny$_;hwll(h`DV4b_Qc1ncgLg
zxNiW|(a!dEeW%R7h|&l&vg{&(EbW9r0SF~#@F~YLb0fe&u-MA@%3na&-Tlrs94}ai
zVbl5<drCN)ytQ8w1DO>A+^bJC)J^SD-JtKkG?Wj}Zp)|xEct=lDu?Tyu&xa+3G9E)
zUXir~0NMS47+}~%iH~_}FHWp0mOb#m|NfY1>N@G4Dh;0WuS5r-^Ycm20HO7NUM!ol
z5<t!WIp1BDd}%Ccd2j`0%PR=N0(KjKNoE^355nKQ9vVm-W7+=71Z`Zoh!|z0dq>Fu
z$%&U@*)LY&4p!oG%dyP5(hE>m3R}}e#Gn;P6J$GtLQay%pyNU}OQAib?k3CEK8xx<
zatHeabYeiqJEZZ*D`Hi)*kPJiIbZK~7K5P4p|6)eH`U=<WQYR+4BKpg9{?KZ%f6|S
zF|su`>Es_<lYdFy@FV<UHpz)43=ne?kO~(NQb_H-&vr5yQ+)L9(U}x+YP23?Nhz4j
zcs(!hV!$D}+TDTc`zTq0*Vrd>EU&d1*;OW5p<kVFlTEAyBPQ}i9OlQkvTb_->!$R?
znou3y1}9$-N3q%O4BDFlkf5OuuOXTVM)9TF9rs6<Mo=N<V@a1cLZ`LI_$hHue;8;a
z%7fekvM^c&ND*#$@FY*D6qkahzJI+QrKG39{JW+uw7qda$;Q}`U71SG2vlP;ffnb*
zxRIoNAEwsdnwJNMDEExt6Go6En-___mbW!K;zmCkaS)=OY^GZ&k9^DM5-znN|N7xb
ze}02Nm3k8Ij^M|voY8cAXkxWXOkz|t>})V2<|OeO(>VM`+kxlrp2qilm1#ap^F&
zybqZ4D_QN!ONsL;Q_!*gHVlaJlN*ORBGQT&GwbUtnP1@1Lg68s>N>X=4jAK;Q7b;(
zGvCY7v5Zf?+bx%g7cMtb3u$J@F^5CfXX8If>AcAwD6p&-vm_jgOy=Sw;`PDXDf(K!
zmv_?|^@&Rfu$CssaO)8SCF{b&yQ|g4KmP36))WD{qB~|?DKfp9V{SO}Gd={XG<2&5
z#U11gnWZMWA>wY%Eg)g_<2wJ7@1=~>tLK$7mT)8Q+6G|<<CX)&1v-W^)#-U{6{QzG
zk1g6E-foq!)e-s8tJUm8Z!vz#E?AEL!W*VoS)!RsfM&81U1H~l7C&wI$s^5HMF
zrYxV+05ARU&A~(l%UKAgZ@<2o^90`pmtKy}RMlT8E3%fox0N7cyZGgPqrFmloDLjv
zbLNnyC~J4Mn^tTUD#9jp=rmlDl|#jwP(uc?jaN6WZ-m$8*sW|%<)S`X;mW%14~z!C
zTd4f<V=GtoC$b}}F!wOBjLw*qdf3mv6KC3AKXIUJjjlu_hhus!i1~Vpeetw)eSjy4
z5;W4EPGUCK@MCX+8oCvM_MT{@YSnU^+QuKB`FKyIsXpc(K2k)#&M7ZVj{m40i=4q|
z1Td9&{VIGx`j>3w|9R?r;U#i#veIyn_IRC!hK#J)ln+GwU1T1v&;5f}z4P#kueEre
zLO!2Hb)kA@w-@^)9*2RTu7A<x{Y$H5Mv@o_Vd`o?svzrm5{+wW24ss$D1$nvpMgXY
z2I%uy{?q4!*6ODUJQrzy_h0<qiYsCAq#;iru`o40KEAMRW+q<2%)r2)1ojyWdo_<>
zJ;!E%pm3*_+drr5gv7*J$;W#^o(?hENVJLF`RyNMgdsKs6p!ZUWu(b8e(RSZazq&l
zpEbO2U1{$w{jzt^&&63wVr?jh#>u|&F0Nn={FW4sKB}6^5C*?<3=IS`uK)O}Bqu{%
zOKQAdh8)*J&9V!Tfi_v;%t3?)i%{WKF-3Zo{Ir5!`;A1kQK$&izpO2^#1160&eSRX
zX1MvmH87EMP(qw2*&f<s`wqdEvJ7TDiD#IW#R=E(D=uxx_kBHaP#$Szyv=A#7@q<J
z>e<F0K{bwq5#3bKFCaD=3R9q>fRyQFmIM@gqw8m_%=95ZoplI-Vnm>k!FSQXHh7T}
zJv=aEt@g7^UC$k$hLXy7JjQs^PcbyAKvUqDr#6W-QG32*?f&qs=5&S)uG+j(r=PR(
z$^|XCmMpQP$S%Qn<(Tz0^k`wG(V{0%Y&h6CMJL9oRAWiJa(ledqHlli{E+XY*9m!R
z8d;G#+5Xo$J$%`~s^ujwg#bjzg3hBnq_Y>-Je8fFuf~$qz_H{+Tx~=q-J|tzJcGqw
z@m?S4RxD0D%LK6<o5Zd^OPiVF&lpj%jPPD#^L@N6(+iS{>l2@3jE@6+el$8h1);C-
z*b(@~mDMw^_A+SL<ha<@`Cb1^(JRkUu?e{pwn<5>Z-)^@zL|4DSB<{Z8utw66)2f2
z?&@byg}P&uY*3M^l(gmyY#!UkT-3z7vat1}9G6zGcANu}2(z#-`XT}frX_*;NxK|1
zZ`B;7sU5tJdm|$?*k|MczF2q-@iK06c!~kXH0;xDl}x;epMR>Q3g`^*a+)G`g-<tU
zpN#yv1xB6OYoL#6MG6QR8#-sXXu<sXNB5bEkgo^Z<3KxPN-v{985(<}OP}*MBq3NQ
zp~7$*ryFhIEUi0+j7p=iw0OkXO<H8A1InnowezJn!T6%Jnef(fnhd{P>r-miub>&)
zDyHKR3OSt!G<~duf{Y)CS5Yi{t}8*HKVRy|tTe(9E)0l;%<<$LUsUFOWWqt#%oVml
zT=CF-6sMPJO(6hHXN`)M^njZi>@=a~^O%dDoABqOYAtM{RXy<uL|^e1iOs^9kD)sX
znIpqwljoI}rhZNjIDz-iAEdI)I~q{TyEY2Gtqc;j8Xp{JP>@jP9dr^5Y{D>mhthvy
z*+bDZi&UO|c_{8C(^gJDpr7hOoqba&7BHNX-s4=ZkoG4PI0-JJ+-0mZlql=~F~3*)
zOAq^Y>;M~liTmrw|LFv#)$)AsYr+ARl8sMIU6eRA?<VKE^QI{PaeHZ}bkC$Q7|lKC
z?ehiDt<zp+<N)%xr2xgFFo6pYv;1(u$XoW|;kkHG#{|ltlc$_(AlEcFIQaPZ7z%hb
zvsHg!crL)yY5r@8`}N7n%8I~G>xZ08a%@EE^NFtce;=d-?91>y9&(QHebbQtnA+B%
z<MYQ|Xj}hRzi#n=%9uR;76;;hNaIrXbz0nodq7zL-5TUp+Lxgx;_wqZX<=3=5`^{<
z2+`~~H^R+Tl@&LE-oS-*@Dm}t_JP!)^hKMgw`{!HH5_aJMU`FlxtBn-o6>Au0iNsX
z<};<c6f}`=oXo1&kMEpp;lod9-m1QFHENub4sm5ayf~u`r7yZ77<}%xn>_mvqL2RM
zkGHqS&=>V)97g+v>8dX*l40lk-m6ei0vgP;uJPBRNtP2C^x^2z{aYz9n^kyb3zS&F
zW>JW!Ch{@lloPRNlI-m3<E!hLc)PfkJ2+{LRd_@Z<`~sue^Bf6;E=L@5cG3Y!QVvD
zR(}*psCcgo4)UeZx#2SR1^t32h$DJUVHBbB16?FR>nGP%FgMzmv3V3DX?$jMP?JTN
z>G8^ZS&q>g4M|y(<2DN?)2MtNq;bP*m0*Ky<AVlNSfo<3<7LS8s{!;1N%h{}Qi%2C
zO_c>*Z#_I9et|9dU5~b#w<`g2!3V~&ThnSU0ifJvgJ8cZH296=x#z#f`Q9y8LAE`R
zNkF5JT=@>vu3QbND)Z<??^&Wy{Ot24>-g&+h+zsNxoj_edk)+oV2%g(rQRJcZmKrn
zBM>g~V)9uFz<Nm$^Ifixf;&wMH6ce`2q)<{g<PFZS+MF4<wV$hplG#;RfJn0lyOT#
zQfAx?ne3$vP5{ybRnGhyGLxmxL{i&g^He<Sc5Hj2>HZZ)7i%V_D0A565Y2h^G`D?=
zakoMx;pD@G1ukt8Qbl(NG;JxwIw4<r+Ocg=lKODEN<wD$>spRXLmoqc!U$a_ZDk^r
z2y;p}wjLqMPxrS(-uaps+qf|j)%uT-<y93Z`YmN>aH`e%ry^a=EZ09k*9!6hzQ_6<
zf?$S>C<Qp(Ig+VTO1ev}S}Euz8mjrRwiiNS*(n8kdyeJItlOO1db7iOOot`(J$LJl
zUCzzk^!Gx%_%jjYE)(dq^%#0)a!?f{VYR;SZS$@LMRsmv4N;>y>!idaS$FjJ)58y+
zp%I#ladX~>f^{DxicM$DD}E%Ae@HFxf!KGziknwv#?S;>BQ(0a_d!R}0j<md!%zME
z@wU1JLIOM8Gx)MeZl#Ud&>)mJSSs|v)X=^3Roa{Lx8{}#NF69-E(Hp^Qc<k&9K^aL
zv307RR=t`_qDXm1{Eu0nPZ37dYO?`4iO9@{964FerMp6ZB~eS36)WCL7xP+o-}<dR
z(3RwpG~#nr?jkR?<Qr*bnV~u^gj%<4=9o;xH<WNNWVSwr=MdA&pry2i4!;w&I#BV8
zl!SYHb+`_w<axZvpKF=FC+)x)t`eA;>mKO^Dv&SP6Nzl*B~^#d^~s{o5&2nMGN3{i
z1*D8>nn@lW9!?89hk;7ZL{U>U05REyCMH{eb+rjA!KT$s<&(_v)4@ag>fFCgHMS?!
zqhz_-S5|^xq17i@J6U4$c8))<`*Z8CSL3O$LWMve4?Cp~W;PZoJO7JwfAhZ^i?FHx
zLgg!9kCHg^_)~fk7Nca#g`e}p>5~B>p-|1Ln|gYx{e+8b2cq-`kAUMh#IGwIaqUM-
zcsW7Xx3dt}g?JuURwh&y6)ouZc62uUiDkc1envi5>8TtPnW>M~?B12Z-RU4j87PR9
zZ^4n!liqT#BY)Qw1FrBypB}6$`gK}3J#IgA_1lbkEGNB1!|`|Sd|}O$6Dgtkt;u}P
z5OR!!uNcFHA69jItZ0+_tKOB-ADjQ3(1k~8R>>LTB>s$kQq3SWYMhgqF~nrpM`ZV#
z&Y%x-)3Cx(s3m6tz|(GS_OPHESi{I6GtYiSblt-Q6L@b0@}6a7qWUid`Z+Y-IIM-N
zmR6Hw7KhR7S6<@L6y<nyn>1>r7kN@Fco<&at;<l4<3@CTr8T=ngBW|^2^*KPy9%x{
zAy>Z#s`BPiAa`p>@hjcLcRHQ>&5P7-*7pb))-%Q8Qm>9GHGSM_5*4g+G)0{%X>;id
zGeAab^RYxx9%kWnzj-v&4e6=^(1P>1N(s8#UGic`5!V(KjkxZP#wUofe-Q8?VSHCA
zBDZR6fK&$sEH5tSbyCqbR$K7q+A9AIpbid)_P#Dc9Us&d^e7Zdjkit^BhZzZ%;HWY
zXCxUiD=&BBZ=w24m!wL4{*zF#?1JS1w~5UWTkn9~@g4m71b1%6RH!HO54ji;-^glc
z68p-*brU{ky0(=DgQ(`-&IY_^7~9*=#k6&KO2@50IjPN;!Y%U}sj3*4jORM9$A}Wf
zxF2OA@~CqcQZyGZ_~C<%p#mk_c7Il+urJo7DF*U8f?PX%o2)Et5u_m9{E)9)tdZlZ
z2a|O`_&MI$QutDOmq+165I(DlZgBR5cbO)NvhZ(>jqL7`bZKP4c%-Fv7e}-jAgNFf
zakd{4Iv!$?WT6Qq=P&X{$TuVhTK{xH?cXIk27MT1&pkX|h)z3XaKgH8%@E9oi6~R!
zCJ@7Ge0`H8p{B4BSOA8Vc}v2eBVxW>OwbdRzORVX@zFOMAqhkH>~)}Z*1Ks6@%oEV
zJ5B{bJ^Su5(FUs~8EBRN7rAP5!TA_-MPl>jU-&qtO(7q$Q&h(&sWK%~_B5LbVAq?4
z?1zHz{MM7^sH}x9oOdO@ZZ<+-tqT~USTR!C3K;sNg559OthZ(3h~reC*UMA_L2v-K
z1McYPcuJJN-dtWzSLk>6L%WIbFA4JsAb42m1{5TCZucqyTgkM|2|$!o@A~}0k|F`z
zGPE180XX(XbAOjMGQzD!6Z2#ysWy0fZT&Ae83T%NsEDNGKxPE*4wv)Y)iE$uVgTkk
zU5*BxZQgQWUY&SJ7=X0NbLcXXc0cBeyO8qFGkU-KKItZVNWAWVDcwyg4h~?$&~@bJ
zJwBcEO7XOBe#h}12g_=zEveDvOwdAi(ViC+;sapBoS2jZkn9X~ZkZK9zn-`MUs|g5
zR);^w$J->u^l<~Htd!4q`6TWhXzPonN=i!NfkS)JGyN-~tiT5JOxf9mg}WE?R$gmi
z97e=+F%s*x*Lq$WmUp3^(#CW|2|xHwaE}!o6DF|3v3G9R%*2x*2<@BGrQRW|snSBJ
z8GL}6AR6Dr&$Ie3SN0yf5Ik0BQn`SQsiuG6n0UlUzYiac&H%N&?E9VWO#5Y~i6e1*
zkj&gp{Imc<cVnV;D_a8J3>t>4Aa-}NC{aQY65MywAZx6<+Ct+oBZ-Dj%7>wQWmWjm
z`7Xv5vMFcwwFaOR{OhSs^tr4btf-O<!U{*$C&HzK68UG~5g`SBm-q~NP{2sgP+e|0
zDKQfUsz7`?eT(dnBtw}xQOE8U#m3}!_!T+iC=y2DYB4`Ukdbs3b&G8KYIN8;c?TaR
zyt2`p9g*y$nW)+Nuy47?DTGHTxP?9+zO<}<q$lVPJfLi-c)b>*W#0m;pG_`Y%~aIz
z70#>Ou3))JK&hOe?Zq5xV7LpxtvmcdA3~9{;>1Z+!uPT+iXG*ic_SuOuq)Uz3>3^n
z#{R>~d9IeCp=v9v(8UBfSp^Iil;Mm;bdid9BQ47Iahq$)oFARn`SdM>yP2<0SQMIN
z@8AkLjjSn8Dheoyo2_5RuO1_^FTb#SEvc_uR%$V8FRzF^@CH7g#;G{k8TJyoZE;!`
z$J!{EAFV&*1jvdbBNmtM(N;NhY1DEwk}oaIDl3y=PuQ1fT?rb0<(X<(LzdMDY#63i
zeCIz0HHq($CjJO7*7EuyRkP6gAr_5S=?n5^K#tdZwt{5;=y5Oj(`4*z6c6?B!Y
zmOZ!p4b8<op<;FLCJYbZ&+^MGMNur!<rNc%gWP;#-j8Muvu6So<wHauVVo{}E-9_K
zxIB2WPiLwyKJE0!Zbt2o&IZ3R+wPos(FyLNEg2Wsf&jy@-FRn8Pk2!x<S({Slcv>Z
z76MzTrKB~--<kyF3Km*j&#N;Pgzn+x>JL0Bbs6BsS=esJG%ePZWMQ{4&d6U5g3o1j
zz0Q@^hdPRwMuJ^fbRw^QBv}h1ss6Rq<mde%SO=1Vyah&oQe7{YVvTnDolNAdT9aa#
z7N9xH*K(%5ps3dP9$U580i~an!dKA<YYmZw88$Q_4L^#l1PGmSL9v?P03RpwsPF-M
zBe@cNS=qkxJRZN3^LBpc+vS^!*|!L!(D2K*gzB1K=buLPdlm<cdH)YzUl|o;!*2bE
zbV>~k(m5dAAdQsLFqCvRB8`G{iF9{&3?bbO(%s!9UEl4y4nF5SKR*AlW*lcNy|???
z*WUX&C&*EG|9&Lq^4aX%`{V0>ZQ{u?S_}?mtG4-<Z-)IY4i68T>~Ge7{`FuN{_$Y{
z)3RI^ecR35d>Ur!vEI&PwcPxm<?Z&A$@grJ-1yJ?zC?H)7y{urXX5R9`R$cISrT#Y
z=Q&aP0T|hk|HP5K?|Zx(r76SO%D}<w&*%{gD|-yz{DBS?10$_v(NBpvjwQwZFC4aO
z7;vA2NgAGS4FO!NZsH{xI=b#2`SWLg_p9o(S<#uE{Co_Mv^cXscGKbLflU_yub=}K
z!b8j7md#Tc5`vYwAs;-HLIA^d=3a<JB;uMd4UH#BDkb#I+_fhz5Gz^aH^VRc6S1p=
z!?YQ;RE!o`Z^Hy9zwI^bM#qEpssf3yne|kW0k&`ZSC*`791jy;VqvW$m6CoHe>EcQ
zorP4>dO||$U$L|#PiAJ(XLdd8+nhMnDl5lJH))3CW03Qy{uD#;h9VCrmoI>h{Zi-}
zq2NK*4JjkJU#J=4x{^|51!hH{gkP-SZpLzt4V<|J8sWF!%gEh0xpV!L<I1Ues(V!%
zhU{XM@s{88i205!`Je8`Qlgihxii61v7!o*sZq^++e9fm|Bn1ow{#<0i7n)3$jca*
zLH`x8dKzJuT?6D;)Wz?9%4oZ!;j&sSJ?Fd8&gDJ~IC08mQAL?G0;m07K->#qx-W{>
zSo5_Bszbl$X3;|Nd-Ve@O^F~*#j4vPp&HCsl=v}=8^n{Dq-{TLx(FO){F;z1yUk&5
zn$e^u{!A<dbW?jfuQC^-L_nN=74q$E=DsvSJ>?~nXL8aCeW@j!!`xyy(Pt$~=@P8f
zG9hMO7{fVp<iUYog7fm+Yr+7JNZbR!&bmIMn^#mKU<-JlYP~H9116^;ibGmsoOQX6
zlDbK_80o_r)IriEu&cE>6&qSga=d2PDCz2xU4-u{(~>%*DkZ0F_C_go^ky*Haxrss
zI=I_H_|ytD+Jx8|Y~KWoq#LhkEa&3{7<{@7E<b-Qgivd}==Q$qku|zGVv(mzT>*{c
zA+V9Yeck3*JH={XVsLjrrXZY(bvFgmbTCy${6lw@v5^jsPa&>d<ou=^OcRyCxGS9|
z=82)+cJRq^<S#fQUUXE$dMR3c-Zbt_xJ_oQ&MgMD3RrV3=G-v$CG)(vpn!Pu8QxH3
znx4+>pX*I4YKID0P1{R@j~zem_Zz#!X91<KpO$i7X_6?gWs?Fy&a=jX*RUY><dV{8
zwMj<NDv|gDD?t}JBSvNJ_yARXG|6w>>_Mmy6P|(ZGOhXxPD?}#8nkx0A0~H6C=b6y
zrGpUfnvN|7{j!8ZP+hkPomhD4ekWZKF}SO>)a0#h*ZD4>s9$EuBZX@!dGJMT71G8M
z1=jTIkC<SUxti!N*+2tyFBJ0l9x^79Ke0=m3I>Q_9q+s6NN>qMr~s2z4_3q1X&?m)
z*n?7A7UArHguf6#g=AO$4lTX&L4FTUg3mgQXenLX9?KusLEQ53gZRg+igXN(=ZzS7
zXUE!dtDgHIwBhsd@OG0PH^qqX)BPV6O2W1O!SibIDyB@p?$r4i37Bv}K=s_d-qUT`
zeP3Ggxe85`EB_Pb;~#i)91;Bd=!~*5CfE`2%#|klfX~14X#QhVaJCix?X7#iW&5}#
zC3F@U!V#m87qh2_n)mm^(PB50cj7pJE=u6gQIiXQ82n%N)rK`}+Fv#N8`BGyzy1Z_
zhilAR>JY8TGRm$^2!~%4M4ad)Wacs&q{^KuQ9?RN0m2_OsGRz$`)L24Y@3WAy%aIn
zM@=y#Y8?rz#@P{GbW-#+uM*cDb1}|T6yhYIhwE#`4uRxKI3i{tY^cyUNhiM#-rSYC
zy77$nqFVXnZp`jM#0a$<1+kc&9$6;YTl5F4GMosTTK{UVktDxYX5)mlc0F(fC&PzV
z`&anpCWF8RFLsYa>%6Y9)$^+9=$JGG-UM=meJ2)SvBV0&4>2fC9M4^n>uYnu;yTbk
zX5{>!fq{{gCwG^a{dM)0Ih0M+_emA6!;eS|VswuUiS`UMorzeEx9dE7Yp4VcHF$Z$
zrP>vEtPyhId4rFoabx{paRxS%ePZzH)UQP6_XRwf8J=*-kvMan#r`7vwqu!UpY>_!
zM|Kg#JFDz@Dde&6Iq_zSyRP&k=_trKZoBr&=_K^xKoQ5*pdLv9#}@CB&v1go`D=O9
zK3@0Jd&(@SlWR-z$75@Hy1-cKh{d=$!EI4d2`-f=2yS}A6aLB7ihIk!Z3lKPns{WV
z?aS4Zqvh~#oS$*j0;YO?)G=wr!Sb;8Emq48!$>fAM-mSP%V&>U`IQySCU=ZE2e$-t
z2$b+X8v8&t*3<BP6v#JgriGy<-L&%lf)R1O#8L~&<Awi;G72%l1e2&#(t6`<#a>u;
zkoS;CbIHEART}R<WtCC5@5}Vuw>^#$W&nHkN;>jw6aQ^8k5}i$B=&l$vdJjMK!G$>
zASPpc+$^V9hjMP#sp)o`J~(sCJ|h}aH>RT!5*ZCjiJZ327Ah(aO^)dv4~h)bSLCWm
zPv;D8&t>tK*I(MNRu6x>smN!=sv0i6gihj%D7_nr6XyRq7`J|{w^^$Nb>MU%gB3g|
z$(8W2RGG$F!Blb6M%uuVQEF-~_TrPwE$4y3Ed#?iH*RrgrMAsVH28vD{qP5HM=CHe
zKwL>lC-|hT>ZGv>W4P|(%S@b6X>rV~zS1NgVNyuf>@C<NIy%glkLSl|CS%y!L!#D9
zquZax{dHKI3!IQ^AAIVgj?K!wILqqBSspw1=BCkz%thBKSdrLD!OHgniI;~9(tS$C
zvoK0NxylpOti6-{=)DEV;rC~UC*#(w2`X=uhKrj~GmvMJc6VM7vzlv4803G%H{FXb
z1B5;wbBw%hfpH|$&h0M;22tw6PMhXv>pBSx!3BiGX77*iZ1aj>|C7+YM#<J-0&WRD
z+Azmyxx{U!dF#>x9S+0uKb~iwQy>9?vay?&_PD3s;`V~%>KHImOFr|L-Xvhcfm14)
zj8+1w9B%;XRn^M;=a_ez+g`z+t|p*ZB}ZxZo@9$AMWO7V3IFBu?~KL&v)BLA>{jsJ
z)8cE`)#3aV&{7E)lXlM2p6(^W8~zwIJ<sD<#-4%bJ2fn@t>eD&(50Uo8ylN<U-cH#
z16-YJuHygmmOm^1YsQYd<)_D%o1~U{e3Y=;7I5rex>f3R&Huk!2)Iw;l7K&kK8N}2
z->QNon?EW$CMtZ4lKbU>qD<4}oTd8Q-^K%3Brk-=v(woTuc?~D#fHzo0k(A_E~`3e
z%Pz?P(CSBdlmVb}pu~2py}+*;5s1Sr_%9pMg771cK7sd`-EdQW7avK-#|*6l_Lq0y
zLK~G3G!n{GawfQeS(!A`;(VPm9yROM;kWutpu>uFi1>l|_5d^;l<>-fKT<115t&D+
zSPpPv5+oBR(^*D_!U`(fQn~SdM)R-g-XzxTVYC#CIwb4x{#s(5@+*@{#PJ@{aDscQ
z!m7J}`X}&xRNoV?y&KF_@o)1$LeVL%wZKFP4>W8_J)$YEx2R1poJosY{diw*cnFDq
zWh~lbG=+&@*6u>VLuW&IHOSZf5*PX=^G5I$NLx_XEdnGs6j+!@?8lzc6CFSS0~L78
z1T89VWOKS9T5G#pwEm<}2qWn#P$3e(tj?<lrhwT!xPo4v$difYMS72}8P+ZoO4Lz>
zqoHNgwnt)IwkkL;>gaBdNc}o~Ae%J8339W-?@Jz`oQQlwvowm6Ft8F7B|U&<skM@4
z<mEI4GE?w}O82GP5|bravlBp}bgIN71-(p3+cf{6^tV|sq*+<_A#cWxjIvHL4}Bz8
z7jfIBt<XxF6HM=#iTCI)_*Si6ag*FnRjzOONgYL*`nF0rS93ygX4;uXPzp<bL#cjC
zCo(aF!eJf~dWN?w^|MqnGIgZH(VlA?uLl{ju&~JS{;oAa2h#X?z!~^YW#J9(I*H{6
z)nHX7OJ$tdnGa^l#l0qqdz*%u;G>^3SzV*#umbqk1W#{PdMx<bOu)Gob~MK7o%%Qd
zZ^ftDQ=Dl&NTuR==I4*%$Q8h{>8Vna$${Rbup%X(q7QPRQ?YZ)<m(9rMFZd!WW2ZP
zNmRaI)A0=^hE{ngLn7Ze1W0Cn$W;-k@wNZdsCRGQ6rRvT=_kuu_twcox95fC=38^S
zZaLCR1#9>g5AQghD&>}?$p@_PQ0WrcJ}i|LvF@0<$u7oqQ@T<;<*CpsQlaR?eZGq3
z8uns|X~JYBQw*_Q<Xjp4#-rHCCw<MfpjHd8oa%w4Y^wuK!&~{+jawuNGRR}e@n%{}
zpFb2b#1yh^3Q`{xQ01=pe~+DITSAd|=*|4$!@m12Ay<xpOr)^$p;x1b?gjT_d@q9B
zX(Y8-@7KWW;DXj&W8Jh6C9pAxO3oY4DO9|0*YNl&q=Z)cGI`Nn>M!13TReXM{_Sxy
zp!fJIKqxy}h6?Myp3wiZ*?R0hi2{PW9b}IuaGzT?W3{|CtFFMA!p~S#>Hv5x>&<O!
z)MQA6y#UoI<Tm%!|Kd1swksn;!zuiXF*m6LIb<})JWD-1DRBX$ZaaWAQ}6ud{w8Ty
z9x#q~IXxRLD>qiq8u11yqm^1tiCQYYce`I5J!l>Roa@ipU${!ED&9f2#pO9lCmM?k
zc+k)4M?9H{(Wm#Tyd<`ULPJA=5jC%<$nw$T`J47;0-h!o4B`8e4vdj2v4TY4+T_7%
z0GW-obrb5}Js~+D#}$h2KR|dyv_gQ$B8vN2ImpJL9u$kQJUOBU#McqgEfhaxK_(Wz
zgXnMUycnF7LNdloz-$*O5S#-jzK$DI>T+HBrPMG;&2kiH*kY7Wk|>63vaJ3@4gBL#
znaB9Xo{A3sfdpb@mg2=AQfK#1Vd_}ffU@+~#i`eYN&lk)7{d39M(b!i(;hKO-Z?A_
zs_Yk-Lr$}5O~abrRfksFFg66ivA8ZvPF-Q&;Z*%q)-}TkfqjqwFTii%e|~SKcmXxn
zzdN=2W(9{i{4LzP;uEzRIp4h?YNW+<8Sf;TcV?M|KIfa*plvy1bWyh}i)@ir+QTB_
z_v_VuA54pqvROgxm9L6C(BPFX4@Q?lnVNzPR&@ngbAjaXt3gR;QIrN9!X!;2V|&>%
zoFKdkpD;SCvdE}<*sERjT7Qg*Yc+C%uq-hiiY66Vn7m;MY{;=I=HioeEhu9Xzlppm
zfz;AzjD6H;oB6t#VE#kNb#h{yRR%@(>$9%JJb5atiA<I5+#|A-F$w~S-~5RbkYdfr
zgWc4T4u{XQTl{p34O)hf4WnNlSBU$R3qLN5o6-vAhF@)OC8d%FtQ398mR02I*JYnM
zZT~HdT=`Ci$&4nLaC4%@g>T7$#JLGM73fuYhjcKUm9M@?0GmyT%Q|#M4V$O&N#Kwj
zX+x<~GKJR({u~+pB&1~a^vAX|hg10Lk#45i#7JBWYc8lw^N3G93(3S<8Pma4zFZC6
zxV=RwNUQ_#I(VttjeRRRF;Y6<eW-ilBys%Drs*UvTMG0$-a9_9k}{nhy`PMGjaMxw
z3yx=D{+li*w+WMk#|gQ*1aW3bK0{&fZ=p@^7LYZXwr0ChiDW-rO^InvwTurZddjc%
z+85SbwarYaAB&B45mE^Xs_I~i%#>P|phwL30)YY3-N70-G40edDx}IGD%SYz69kU^
zIK;|r!5Wy$oV~11;=`7j^vg}>51yG-C-^@%UcF5_kpGM)kXD+YWEYJyW3I38Nk%Sv
zgCWNwNzDwCxO2%o@VpQX)3PxT|JFt?f>PL3%!*4yTEm08Y}DX9c)Qx}-V7T*_Lx`U
zwL1~kPowECF4YP{?~gBTq1plN8SBE`zj6a-^#j?I6y)E{Y~HG(t`EI!XvCYdCl<5a
zjU9?<o74_V{_PT3vf?RQWVK;1Fa*SfdNY+Nty6V#jTUQA@uo5WbEHb{cLfqm@!ge)
zFo+XEIR`^!cf1UvwvyDw&=+fcB<B=y;-j7UKrg_Lj`ZIJBmW1?ydo3g<MD}z_`MrK
zC_y1m&Xg8{XAQd+6?pRHDrc?q^p+(ayYED2nmzAoA0OkGFX)~jq?FX<WlKCN8rtT$
z>wFDxk$PnLmcq>PTqy7P9lcsafZ#7wq+aF)Xx78aM{8y(UM>Xzum9%_4j2C)AHjcr
zTLiB@Hb1f=+1w6DUDzuHILh0}!d{HI`cDsu6;~FDs$fWGN|xEW3i%#Izt_Xu(Om&C
z{m%5;{5AWYn%vhor0vV3Vpny1)TA^k@tappWrZ9+8`jN;&AT)%kigw3;M^u6sXfX4
z2U6w!A5XCkIuDS-j_ctlMKExD4qGoyz~;>&603vKL12`*xggx~*i_LgMGZ9tBm*Ub
z)VJTVup8{D{JU-PXRizO4%%6X5oc~W*>B3s7M#(<#qP}yFXYMxV#y1Y4QT1C_t;_?
z>U2nzZC>ghuq+izyg!}SMfstSu;T>=QoTbp!SRwWWQz|zS?Ch-I-S0AS$6jfsU1zf
z*5(=)(IDhZKErjyzxBjeov<8PRY5K~&}t%Fr1gJo^kErIu}nBO?q1aJk0!LUNMxUV
zr%POr@}+G(FsP81Z3iCg@O21iAeh0#JQipIny%7f<di}_rAQALAvUbg`^isC!$$@g
zu1i@{W#qid0S}y34`656mGSSSeu6xE0kFq`IPxb-H~9w8gQj=`E%tZvweDKd-5CJg
zS=szfNQoph>y+id(XTx|)Jzc1a*l8IrefAu5VTX7QswBWJBbx*`Tr6;#bOYn^bkeS
zvk=mg6R5qQpk9zfYpw%K`zh#XK+~21cS$qS5RB4G%TF6)Q@U0+Ky6n@@I>bJqxa>K
zfWYuN-&OGv-ftgCL%qN-*tQfL`d|nXM2V@d(opkVey4(o<TR<)DbM>gs&HGIErMl&
z2;1nH5vq0C)23+|56+tPcN{-!vO2>vrE9QRewYQVQIxL0eE%m9TH*9^G3=<UVLQU@
z{fpbTFmI5)z+OB)wuKxQ@qOBxC{TXT-xUf_357LcMyd4Nx3aq8!Z2fv7OCWn1y4-Z
zBQRdf5*EbfGQ~5PidvK!jm($1m<GJtvRrLJaTnHUk4d*Qi0q@wiDp34^@qCvYZt!N
zms8Iqo;3DC)DO!X`Zj%3o~UefJ`<4>WokF@a(lYV-HtjCRZ%&ATlHwXZmkDac3j$=
z+E_$Bqx|aDTQek?T9aJ<%+-mdyVhdW>Gkj|4E!gKl5vB^15&U-SM8hpJlQ6a03JPL
zg9v^fC8Y70*Wo77fn$hVCKYOuEMldFdk`o`Gv`S<s3rQ5QG4z)OL2lEId99x#g~E+
z2HNeFMoL|4+q6ln?fcRuh)YOivqS#SuoH(L<CT-BcsBD8?;^)bSNvjoa_q;WGcm~h
z9H>(>jMPVZ00ACc=NYY(GyOe4Xr$3K?Dt#gJ_fYcPbBhZCLIK*IEk)eAq6|6;3b`#
zm({2J@W)bIu~_BU^pE(pnPW75c5uwEM_&FQpKn*%8pQf$oQL{))p9};m6g(14SmWw
z=0{lEMvR=>a7Yv3V17S%pSr3!Yf}eut<d;Ii{F`Ev^Tg7;d*}!IHK^Ghqxxh*VmW3
zli*nsuYGfmeQRk1RPC<XT?f|&pHUh;zhqRu0<8EV!^6Xk*vuPTfFc6myuiftv|hyk
zpn+YT4Y05b?EIl&y@t(Q^UtQJdexPe_j{*(@4XxVpQff<SVV;PMg;~_$Y1-XC5%vO
z8R?&?^I{taFtmNN8|_8`oL{*(Pvg&)ge8%a7hX`;wIJI5fq}AR1@i;j(&fK%D->q=
zf7PzMJmEeW81X~FyF8d>e{y4pfq0rezjc8S_#EDX!a`(Nm;|{k;E0yGrJ?538ER~b
zKON||`t~n-0!jqT;CDnfMh(0650gdkc3p>GrNc#CUS2Xjen;i=L-{Hc_%2~Ln}_D{
z+kKpU*Gu2wJ`}E=Oih4%h;Fc%9b6XHD&xkdKF|axsvs-CuU|6KpjW(3Zm{(%0v%0I
zgJmA#1I2Q4lbI7nU(Ly_$9B*%=g=O8QI~J2nSaPl>j~yx1B5gUu8PDi*yT?0$ubFL
zI<x`P@Qg5oEdG8`XZ4QJ8?kTqV*UP1@=-q#QL@g2Lb~e`ps=0C62IiW$zsPt4J)3|
z?K^Y)ip$2oUgOAKIz*#Y>v#TeNsZf8;eN+hkJY)&#sh;TmbOuH+E2bu{ci0$PfTYe
zWvFg}b_wW3J+4z&2DE5UsH~931T$YWsvVVPFIiERQt#VrIl{4>{Tf@%b}k=mo-J%f
zIP9y|T;zizCv@zqIugjeFiYAb1!+e~^8mfM;nR81+g8do<n8tqDlE3hb|<X$nc)&N
z#5E#Qf9Q1t*+NY#hpd=c?wOL`V5QqeaQ5;+NqshTwqj$Nv=+dXom2)&ntESJ_36GV
zmG0!ukZAR5vH~${1;(4GA(^XfN;E-<FGsLH@&6j#Zl{ge2tFAvwlehSP-<jL7L0qt
zxAP-Y@J^8m1>OVM@`|<xQXTm1kd-xvmCK)Rd@S^SL`%abBZGciD5{M@l0xI*ZR-yc
z=@L^R=oe)fH0hz@=znBJQ55<#O@`CctyGlVw@F`_--zQY3(NbvP$gsmLV<B=ryR-9
zr#d!Hn+9X?cl{yLL5z6;vXE<{Uro#>v7p@Cgh5`xZ?I;F8_+iiAL&(4Yqtfu3A-TC
znU}Q#thFYrJxvEV+trQ23Vl|LElty^Gqc(+J}GdeC%?|&fOn|NJ6IgtHD9w;>miPG
zjC7>cY8`VItn{fb_N=p@U*2NEUeAe6=2tqGSE-T^Z!UpUTI!~oytj7eO*<}kRsCM0
z$9l?ID|a-s)ZV6#KK{`UH6=1=WMxy{+|D`gCAJtl95yn0J~=~JN6eU{Zl5%XUG#tr
zq2#DzHOGL)Ok;Sykxx%!P10gUmFye;0*UrKyUk$Sq*s*-|MM8}eLh+M+JbS9mw=;^
z1u8&e?BKJF>3-ov-yxx(tgK~jyR|`E{Z^6VS)8wgz5b_VPEJlPS|(?oW9|F~CZzT`
z>Ef{8if}!d3x!_Xh5^g|mD#7eulu#nn?s|LKd-L0A&`0O=ETKzsc6n-+Wve-sEt@3
zjFY0Csu7`v&?%X?mdennzYqS#jPSeXxG^F*H@U}`=TTC0>YxAmA$<Qyx+-VgiBC31
zsY1hvhj`i~;{#pYq74v$2B6}$W{YPA_@`)VFz3vuM>kjMq$9en;vgAvm{bVmakkJ1
zF+#3AYH&=M5wUU6)+m#1E$Zr%UEiUGzp^grijf<hs@p%y9!krVX+&C%z__risLxUg
znRD=XtIKDqx0YopIVk{1%EbRnxbA$_S}Wa&vA(|!X}qNIm+dnWzSwW5-jU6Q;>T!-
zIZ(f9)siq`vn!w>oyg3?P-Y*UudPxDX*&(IuB83hv*IW=!4;Ch8j4GQK9@TVA*%Ug
zTZ}X>z>!6yUeYLtP#QSzOST#o);7QF;S>TANgJ5Dc448>(h6@)OqYNm1s_?KX}ffW
ze$og@5ETz;xt$isW#`E0Qf~RmBmATm1v>ryJ_LMWmMop+ZrUXhpW6PjNMMU?186QJ
zoZg3Mq#}bC#vf|BXAx<RSWrI(jyZ=4UA)vrT8v<9W_BX``Om6&U2qJEnZS6i-*gaN
z%-!6i56;M=-kPe&w*w!iVXv-N5?qC^GdJi^%oX`2Uq+^Cy6iBny@_4k!V-TcV6P%+
z)y#YRa1Ub=ftFW&{iua_@zpb*l=iL)a$qf)#M1Pgi-fG9NFt>4Yc@!#;ec~>M#~ps
zRB5->_4F;r-i1`RwMgkP?J#a(CX|6+%Mb{_WB~}{!5CY<o4F*U9myS65nTR(PT$;M
zDFl+7wooL|8L*~JlCRa;l%`G0e%qCHVWFt_)#9cB!-?tFbfdn^=`R9pwj%SBI#3HI
zLI8qevOG9qz<J>21P^p#k$d6~D*Ih+7CEfH(}qN!s$?$6tWszMkNbKh<zg>?qPu#*
z^Gw7@r4$i`rHM1MYbw_viMA}cjr@B5b4K;8wsd(qQISAO+1Q#X-e@;fMqBoRSOa0T
z3)Hf6YRh{efFUtng!7F#wnI{Pps%XW`4Lu)nD-?*n6R-dy+nmnRlF=2TY^XHOA+Qs
zx_#^FOj+qLnfFyT=xH@W7N7Mqo@DY30)aGooC~Emv*o#ntG%QggwA(#?Hzmn2lF&g
zhq9R(iH~17UMalkaK{V3!ujtv?x;#%fAP}()Mr%#nvyz#<ZB3^YFYU3P0|CGmEKkI
zB^6AWpw7kxi^A3g%X{E2N%2Y&T*LVh*+k@N*Qg4#)fMWh`YH~O)^u~TAKevcLJ`3<
zae&40v`okO>d34^yZJLtPG6&4f3L>5p6!8ExVgSkEqyp1?Ur%&E^Y*zRqSLkNn%19
z-3u}S)-tN&29mtXJFZE(KO|@QU;DM?KSKZe2d~hDV8@+b8F6}EuCCU=*^{Xw-5re8
zzgS@apj+2XC#}%w?S2_c+0aV_^m`$)=SGB$6j-tq^<*oqqUhURDIq0QRj4*st?hEN
zcJA{h6e9ruC*!fFoHhr<f!PQ-Y(r%J=e3QLfBu`Sym;m~h?*}?0K+mvQ;<2BX51A#
zd>LvvI)^h!!5TT4SwT}QK?7<np|Y8r_+~|cbz)(EhJ`w%0t?+CRWM(5UY8R7`b8?F
zEhu!T!-$a7ExV!zE|LX@Rc*#}pEEIWG}9K*P}7xT*yt=bVYFLxiQ!`<TD+H%90@-s
zQxj9tJnbzF^vw&_r9^U=7gpF22(?}g<<rhNxrC$qZYC338pm{NZ@6MBhI-5En_#L)
zMb?7@$w-|e%tx2gsx`Sthr>dxK{SYtEI$RA!Dq38H8f>d$~!LV2ulqa?``0kc2bAQ
zQ=ywLpd8_7HFKp@-9MpkLX?<R)mlS()8ZcjA|0-IV}Gr+pMb#5#l9E?SPOUC>UYqY
zv1$ZoH~sC_W<bnp?7h6lkrZ^OfP`=>P*{`B-35Y1Jok%14YjrAr!&^C3OvB@o|}~*
zsrSFlRwK>4cPS4o%y~rPWzCU!*Uef%Y7!f+^eG*<6~`y~%>BDRxHQBAOmz$5bQ$!@
z^%AVtn|)H{=B*_a$tKLs_8b$9y-K8wS*!bgc6iQoMcTD-?8|3&8E=&I5kzg%)OJ*j
zSH!NxI8bhNVQs}Qe$>@nwn|{AWwu~d4oq)qe>)Cx4j%F2F=9H{*T&2h7_PR~$jeHP
zeQW(2S!;0On?&GLAfMwT7Y*9k`F*{Te{|_mu~Cb?aiw4RVQ|44_^LI2EdvOwr$&nU
zFlv%XB%4t)Z@gTqybEKF73r>sgy%=g6p%fA&65kPrixZLUzH)r98ON*{mO?pQ0ySL
zVA;J;+&2<s^#+#Avux8Tb5;(IC6jI6yVLj1B$GRjDPlA9C6oE=zES0l?(+?H63)s>
z-N7SC=B@Kq9(Ow_7BA3AByaXSxer=?PX&VRxF0G(NCgbY7oUa;z>G7B0gI#jH11Q0
zcP!r=XlN9>iHiC^3gCXH?@)|DkviAJ+beI+D6ts$Y!F@bW@a*i{`0^9x$JP=B7b?b
zs=GaWlM8B?u$!qkxOe!cV+~^!KSYU{5sv%=Q$u1(uFQhWcKMDYhMAoHKS_K$I<(W}
zJGn<B`yDjy2VB)V!1XAM{-S0G!9emf62U+yDF(SJ%_c|vXRQ?L;`)GwQ)^T9OG8OH
zW0Maiwf+0=0VrtyFDQ6~_loW7>l3G_I52UnUs(IMFc)t1rGRvfQb|b(P@lwT<h{xC
z-0bK|Yxk0LWx7nyI|URhao6%nPdG^2z{6wV(76m)+MiAdV*nPR+qe^;#$f00PzRJ0
zA#}TQCv<UR%=+wRGLkPZ#5e&~Svz}sKkZiAKh4p{#9lM=3Uh~rg>8?d>FFlT*V=mT
zm(&7R<AAov8f~t;yhGc|XYR8xWui*9f<Y!Ez{BGr2txJ~m68e=;5=UZF^!m#l2X=q
z)_*aN1Pik)SattY`Zq$CYYhA@-?oohTJskgbU3lUgZR0@%yEpMkVP|=zknrp&Fb)1
zpCbH%@$VLo@CzAb?N$Y{%lpUf+j7uiQxv3{O9IOC$$4U`D3c;z;`JBele*LKWB_|W
zHv&wiCQSIn-LJ|>dfW+&*jz((vD<eZq8w0~ED8szrE?u1*<I<oHoY5mjHD>7ta!xy
z35l#j6#8UGZg$+ZtILf3{&`khLlZ#G`(ZAhtb1ft5Dut(@0kCmF-+=Lt}SA$rBS70
zX26v(VsHBSOD$!RN?wz>4HOr>?y5CO*{TOU@SuaZk8T3}(!j586`3&WT4OFp=_YlL
zkJ;7~-F<biTsvaxC~W&1957>?->Yv-Ku){y%wl4f7yY0@=$nEW94Tb${H_ITWoiF8
zhhl|^d0H6fqeY-|-V!j(vyzsMW|F&TgwPksgft@1SJaZI|3m;%UWFZd_e*6*-wdPd
zn6`wn0Ukl_TvI)li+uuy4l2|(s-u*#mq^rnA=&=imY~wChEn?y(~g%s8QtpZX@ZH|
z`9lC687J*=;I0IfDo8zd;V?JGzHh&}#dpgEy+eZk4v)-cIGhVf8=G*H0_!bI60Z09
zg4N-i2Ht3UaWm`1y{st|F;Ot)=|-q{L#t<M-k&ta$MEa}Jrr87;H+NI$m2U05<rw~
zsAeNSZ{vBj!V4Z$dl1IpU|v~zx{9*N8sZ`&)SV;t4NP*plDsR)yjM>gH^%FNd(t0@
zpi8h)w3&6W8Bt1R+qF<*#}e=P);TqiOer{{cgL-dQakxAtl$ftP>Y)b;!^#GEC-3}
z-B=aYtc}ebxm?!%!^0SelNv_QA<_f2p{kj_jFYySzE=qsg1iz<Wj(g)=H&(cnkq_G
zk~nA8Nzi%3VRySGwb3V)*h*Fh#gKH2r`VlH61Qs#EC*S`dh6T}0~*}(w#TVlH*jJ*
zZ8f56lC^bs{>2)p!MvjNUR83Q<M8czQ{dji{QgIgsp({!hD3dfk68MeWIaXUksLw{
z`MIb`nT1Rg>|GGpdnJV8qG3;_gr+$#(Rop6kDr;|_i3UibK(@D{a0b(e41-MI*oIF
z!B?e=bcnmeHNLL$SZD2LM0x&DvtqH~9x;4IFi@>jx6h{gC1Dy2(C%uNCz3Nv*}C-M
zUd1KB(DThzl9TN+J)V*-G4~`nVi;ZVi{38#Am5j@8}W|34r2>th~$j$-Y)^d0OVTL
zWB@b(&;9iWBw+j@8~*<AInj?!KUEk$Wi9?4qi9ysewFb6+RH)$yD77F-O2TO1UDz=
zP}Ah{^3(gL-|weSDlV<9tqU#2&u*lj35ZDm#tEYW9nM^nd+qYEx(siM?Ojv=kj4As
zD`@dV;{r_9C)ZE6+XL%l&%!tKAF>r&DrIG5nF1+N*X#=Wj9Qk&k)y>1_3ppX7jAlw
zFD<9{!^ii-z8FH+=a;v~QgOfiN1kED2JM>W-+KjwUs}HEsRH$K_Zv~~6K#P8+=A%-
zO$YU3k!MVz>q59zr6fk@Ck_X)dU<JHbIwJ;jVMA?8*`@VwU|;&@Q?9pk=B%X3#jxq
z6PSU)2Xe5RKS2@22-K%Uj#B8+Sz!LIx9bv3nmhXfiqTI4{b5MmKLHGTh~mPyvMQZw
zUvDRKlQTJkEI>14LXPj?t+Keg2CD1ce2Z8J8A!*)ePJj->U-1>Y7%yFLPc>HRX_md
zn<7^e_PF>l)E9Pv3C2=3^Kd5;{rz)5|J+;3o!FNq*V=}N)>rp{9@|4qilm!wls}{E
z<@{dtn<BfBC7KFf)g6*9jfT$|_FA8MO?WlK(t!a?Ax!&SsHt34;_I=G1I?fCKeJhK
z$8;0AF2sNO6+p1q0O!id@b!>X@`O?(0zw%1rD^l-$Z~wmY?^MaZjjBooRc~B6)1|9
zW<>#EY?8sv+OeX)g3lM5Z5h&FSPz5xGljiI%S&A;<T#}r5?`&T5W1=UZXR~=2bXJ+
z8QB2?tj;>bD5Tt0G!je>9$1(;)-@$$=J{^EE9wU#H_xJB5yL@QdjpfNeWJZdEmr*f
zFnBtNtJ$?gKR?tnucyCLRI**m8A{KPqoRcdKi5b~#1JD@QjWY{(~XPy<bh(cEZ>hc
z-J6R~nCio#WUZpm2zm2vs9iqyP*{=EU4(u!w(?_ehJ80q@HeaPa}GSqVBJj=YI}^L
znhffi?^>d--?(dFpuG=?yjM+ZAqjeG?q)GsgO0(L&B1~mp8okVi5S!rEoH&$p{wPt
zTJh^Gx!=OlY@=R?Zb8wO)4bZnPY|W1$6oMsP;_&XHJ1$@)iT+V@2%#hFfw;YZ&&|`
z8>U9xtz8<Z#ettVrGGVcKByi+$FPPmiQnEO!IK2Za4mspiesh6z&iHj)lLvOn6EIB
zXqN!hVt6gr!KyaU^g~E3%^uW@xu@82AgPP>Aet4)haRyZQE@xssx7T%uN*>XqkP%*
z=+B_R4z109Ew{N_+<m~N=C{zEZScZn66=sXYa-^enLYhivwNRLGu|bB^CSha2~&1m
zO#I3)0|6wriuE7##c{mQEC*=`0bBD?jY;R2H#0%*3L?ObIGOOPJMQH&zk;8N$4Fp!
zHhw7LfDb4*e&F+__G9Z2-@JC=y$-}B1%Kc7sx|!GVm`u?2!Wkp!X9L(0*WalyZ(^$
zLC5lC57aE2e9qWrW73Fy$-j>wBirM)f+1m;7dxO&J4;(!O4j7JZ`B3YQ_Nh}AIJiL
zDF`@}(sX||usxiT<bEm(#6N(f20tI4O|<&+V?TxL@kLMYsO9PL?zqMKD8|-vU+cE)
z-?m4;)uew5ye<EEgn#Tl@5Fu&3-h&WerWa2nOa+~%Lw(}zxM_HXg4j9)levX4m>=(
z*HZZOufK`6M1PDE?jJ1PHv`@$2;O#RBm@2Z-5}d%3brxz6?h#hZ@j=8$r~-SkM`)<
zhUH4z%3bl-E%1L7AwUv`%E+6Ehdd-%RG+w?L4JoqAPc&i<C*ljxe~4WV}CGb)p<35
zCkOzDqrLpG%q-?i31fWcG4>s3mSCx$D%~7mQUwh=FZdSA9H?2l^{C;9wT#5`MYx=_
zu&)I25dvIyx(}`>L!|ENMc4kCSK<0~HHqcc;WpgjY)DDI*aiaMcrW{(XySvk@l(er
zR-ngmb>cJ$!vn;lTbDI5U{PJCrzJ&=%RnNNN)z5tA|mQk|16y>$o<$MF2o5f-JNPj
z;wq5Lu?*eZzB`En)NM2+LI%og@Wvvcu9+vS++zTWWUI|eTa7FSA{mA%qN{^-OZbTy
zg>xiWk;!Pr(I8efJ&h`B@(&lD{LYybqU(Gk5u>^HI=A~duxB-t{s|^Ag18~nOd`fJ
zl;N*e$W4Xk>JIzNE4xB%xP0CT$B_1<H=Ahpl4Dp7V2)*5eUq?Hek=gdjLN!doV!w8
zZ3Jgf)ykE9<W<XXDpkL4{E3n3+MrbGB4BDF#k#(Qav3g?=1Ji$<TAM$?I3-U1fcx{
ze7I#rm2nZs*v9A%5KG1@a*MS>g8$*u#qTEcqg2XbbG>t6r;91HdXYEbPN@5}l1k0S
ziZNznum(kajt_!fz@8wYjr`7?tY+03TAAWV2ZLcFUekb**QGQ7bM$aVf+pEA8RBuI
zwI-}2zYbQG$%{O!3gL+un;eSX%Ihaqt|G}vuw3-f%_;9ZtVlCg#B8Nuh^?gXp!mL_
z=m#vVlR|UCEtrDmgDlc3^Wk-AMXQ@Yx|_iw^?p(9hh4$%H>WHy2d{b$PB`g+dA30-
z<d{tI4ZEgQSSS9}qRKVKGKR0zdsK7Qcu^UuT$*aLBFRVCg*euDs(04-C?xheW9?*b
zb3VncG|tl71FqF|-g`Y=W#Wr^w%4&SN`*Q)B(e-i>=9Y|OpZi9C0JS!@X%q30w?YH
zzQ1Ibm_@04B{_&=@}8pwr3m}P04z`mnooR1R%`fSE_47lUS{)j?)45~#Uk?U2j)T9
z=%~0~4-f8C`q^g3R<YQoinqp5x2vgV8Ht_!%mzC?IP>(`A{@V1ybN9@ax^=h!_P#0
zxYn+s<t+cWT{A}sk=r7KBD%jK-lhZTblF=<Wi@Ksx20t^4qt&H8H^ofZctqKjRt&k
zP;uR>d+Up!c6c<QQnT$QJg>1?K{mE+nJ(jqfyl=dBZ03fJr)3+w_f|`%KPamz~A4i
zRCj!QT&4i{6=NU#{6yC?+W>p6^`3~QO})oW=!JZaQpmr3N@^)uCoh0t2wl$H{QMs?
zWzH2L0m01%t+1w!PLqLGfoR4Fa7F+;FoFnF%hl?e4qg1)0iad~N4CO=i;IhZPORZ}
zmzqkN6Fu;0(tE7g3pip>=J`8|Ob4V4ym(!<eBE9d|Ez6S($pCPJW3QR=$n$odUqHw
z?zJc=1Fb1q=n>DXr<eecj^;d8UXoq6<HfGVZ5y%+PTM|%X)ok!+P@a?;uqKdJkNRG
zfFEdoTgDh5S#I0&SK}x7n-z4HeC_)IlD8)#<R6D<<9|&t`;`T#iuoXP)nCAME$+b)
zT>BiMP#c|>m|%;6myn5=j$vtrJPCQ&M-_j=n$d?+axme#F~lnW!XmPN%@g*n=N!-^
zY!W0A61@0K%`q`<I<Z?87-mY7cakR7G8(k1?HW$9iqKTCA;0Cjq50^>(D;6R3u{$;
zCxu`AtW&59Gh-Sy`%A(>JlBFJcBUv>8hCyIHxxG1<MCGFu^qo4Bx9MMogi*-(3$aY
z4OM^7H4G+Nc2@!p6FD@6)>@MNH=Ni_ZSNL>?}j^6GDHDg8o$=(9T>~J*y|Oxl0raE
zY<IOP(jDla#qEru7|!TO>jVi!m^TdHc|yOl@=OiPOl?x#t0e)>?L3ov5jKKKWqmF<
z#$MR9l?VYNSHdcTVs8#!!^`KwSC<C|wwfXPCjM5o#%GM{$<%<e`dK;<rH;}*X{RDn
zSWk^3RNS0M8W1=svQchifz5O#`RoNSL2jo%ZrlCRyYMLv)V8a9*|t#W;x(&g{!JG5
z)r-xu;TpVkUhgc>k`<W^944&s<^)#YP5By;MVAWZKGr3w#j0b*HAg2!u3^PS<zka%
zhZ`UUz7{exBml#Fb!FAYXAkKkzbkp`q{felU9^E+wt>${esOE9E=QC%q2x%tExvRM
z`hE1i*>!MdD5W<lDldm>alGckwuYdjx42M)_(J@JCS8AHGTcoo&NlASJf}`OI&$o7
zm&!+SveFgRs7E(9s|e8OKbO-xI8&wg-HpM>LfJYyoQaDcnRM{mL5R02VvcZ2G&BdI
zk~t1`GfdhuzG$iahVK(PI1bIfir`ULwV&PAE6xin*yK3{1d9Kvla=}2^YZEa@6}FL
zsqX!4>^1gS&J8i?5`r0m_}LOa_2FM%h-xKshfe3xyMEyu#4Eo}DdJc<Dpf}Lpokf*
zssFl+2yROJH6z@VRYxB&SLKN7B*yGJJd^hnRn4@w<<@!v-*7$5xJ_2W3~;J+h46gL
z6CBx>KN59C?{wmbTY?Ket0qK$z^gGez_Ff4jsvOFFc8sFRrRj%IP-s`+BKV|z-r9y
zasgTu-yz(~Z4Z))q!0Qi47@NJE~~?crFFbCPwZee(9Ndj*@~XF?U<E^#7mss=2?eN
z-h3ZqcSTL4KOD>C@rA)nQjQ-qlBy)ZA09PHf-u3@9<mrCk`Ex0t;9uDR8#=XBXCEh
zxqmIwHq^lLZiR}DUQ=6}H@@qaL?Y<s^y&V2#&ci<K+M?C&hAZ$f_u{vpbRl`0nJB%
zKdC4`U&FZP88#MR0L?mKw$b%`wIiU+Wj{pkehtX!CFJJPIBu3b-Ik>R_xvpJH<#Rx
zA3DkI8!Vk7pTjDI-<~;>R5)?He>hMnaQfGPZbN?kk2fWKjEqddpXL&4Yn0}I69Eeg
z3y|%zDSQJ2pfPtU|4|*#dO#v<Tc&tUpzsV>OD}kAtN)tP5jBZ{T|XD_-S9|!9;NI5
zjI$}v=;%<@A)KKn=zP3%cz$DIVq!IY;obh!*y*_qrHj>usHmf^1v6O|BZrk_PEUC{
zmW()eZQ_qotbI-CBNoCK*?woS`e{x1=-902dqpq=R%d53OtKo$9l<&aPX>RY02yLs
ziENH}p*xY;A3;vzi&i7zIN8SgXb^6k>IjkBW`xd6T1obqkG?`PJ8jAuhgexNOjB$L
zhV8}~>LiEz)EPa|`jK1+5uij0a>H;FW+BZ_aH*4<#SZeR`DxL-HYwgS2~A~$x2_7m
zwt&`o3ewEr3&3Is)@|BpKwz~Iy_i;F$(h!@<+BH!E9k=+Q!ZXHeAf0xlj(;g`Js+}
zt+ts4MGEFs1Yc^^_)|9+wgJPc6Aeq)tJp8oy6JKnQ(c&obx$w{b=|*u$IDudY?g8*
zCPIeJTBj7iqDShZGd|ns829x>aKayC<tEJ)Hv#6R>`?^bPg==HBp%bFtdz1TBAYg_
z%hU`3hizH}^>)S}*|D12M#VD11-Vw3;R!M6+8v-Z7}NIqB_`C!>tDv26Ne6lC-v=>
zEe#69$+<fg%`F)*XE3c1AcqBFAVQctK<brtEIWs3hvr*HUE!tlz9am6<@_)|6g(fI
z%#uf#Hiqss>!>c|-#R!l8Rh*}|BQG{Wx?BCM_r%2U_c&_&Rddw7)y`R_CxN2WCO*W
zjpZA@$ZxY~`|BtdtW;9ugOH>?<Q#!g9%|RE+61&fC6T=1=mcoJrTF@zU*nHVOtkdd
zgtcFS0@Pu4Z&jjKqX#t*-Q7&4nxsE~1i#*vSD`C%e(Hv8^d_D+GQ{<lHD0y*pwN{7
zGsUqZ8l2cq{JY+|J=CVuD)M~u!ZFZ80*>u6vgG8%0oin?+wFj@Y@oRcn4D@Dw|0;~
zZqS{;40T1U{6f?&frEg}@9suZ-+~K^q7u}<<!!=+;J$UrtfW@vC4OrYz$>^(<zOha
zjS`sD1BR2L|BN5Lxa1F88g@H6=(o%;>0&n+hNoEVTWUXV=Y`PDuiAOkyTMek{;NIN
ze%9x{x$w&&dqQj<b1<2!+1`(LXXYp|v|CNDOYAMJ2!)~%4q0kZO(hSs>Y9|CGhx}S
zXNBEo_HnrHdyA|{2`tY%>|n;_Mq0x>hc59xZpqaK*KIme)R@32-$2-pTqM<$W9c^}
z?v`M+Ey4zih`xQt{UgQvXF{{$(n|DwoW7E#sx;Gk-l`wl{a=>BovNItpgGmp@=o`=
z2Gi8sPtm_~R6W7!%loj-RXe&Iq2C!84~-;$)TD!|H0>9EDb7On$%{wHv(pIg`y#!E
zJx-^Ea{Z1<{=Yi6$$y5p_a1B5Y1f^!r6slnzikKh|27RI5i|#pJmX^}{L0IJZ??d%
zr2T3MlcPBY%t(4#%jer8j5)}D?UioNSoIAMm0WzscU5H2(9oKInuB^$emoXkZJLPK
z;E|XKgSo=7_TAQiF=G@=aQ^}&Bw9wpzG!DWlTO`1!s&`{yyi$zJ<a-8f`JA~1V@bw
zP^>&*z&4%krzgPS+wBoJW|m7Tba(0-5sEwBewbWQZ*M<nNNm?Y3@MIqw;rMylK>Zr
z!6nIxA$5`yek+*YTUBb-$dy?5q#g2@&`^yC?Ci5EpPXnSeWKJj4`3J8Avng4epJ`n
zv{x3Gr}Ac)05^#2pPpm7)1jY_>2o4w2OH$lY-wt`)xLa;Czc+LCPKmeN`6ffa%2y;
zGXJX@BoF1Sc3vBC3@$CV*3PT+-pgo#9q7*i(WH7H^#^=eZrBt7sNX{!=Wox4i%5lP
zMf2?MgxzoDPhV&!;Ky)9y^>&3malRd_ZIcGE|L0K7}E1P*$mrWw>9P!+ew8r``APE
z<87)MQuv3xy{UFgvFL@!P|)Wx+fLjbWAmj_kYqAzTS5~>l#)%Ejs~y0VT%(>Z;AGl
zP0xPI9xh5kuE1B#<w1$<#+G@uRD2W^%0qdWhAxBwa(yO)F2`Y+@sT1bG$S8BVx~rC
zoSRpOA1(8YYzvXz4bPU?Q75yZu-f=v{**FJO6Zd*#S3u=g|85qn5bK<ql)R<An;3o
zpnFi5If)$mcaKRvH9U}mnZpC{4yZz9;oXcyhB9S`dG60^N{vS@XOCnGzQ}P=x3Naj
zGw<fj<gf=o^DW~h`t^?|th#4cndJi6$0XI*b!o^|W$IV<thFrca`3ctZ!nAeDUjX8
zRQMDO>&!kFq(u_4ktfiIoD3{{uDLG+5fx!Uj8LTAi(vV;zG&guj<5Mq+VLxWF<hbp
zRZBWhay?+9CW=chcC#Xxt4tMf(B~=14L=-2gHC7COX3(3vsF>lGa{P3u@BN7SRhU{
z>jGdM9=MT?69&3{&LsR?nCt^f3lPu%EMT^UcGyi9Sp_j7sr2y#O66-+OcEOOKsg+6
z>*TwSzqUSGvI>nCONgV-=Hsy#%4`o?o=WF!l>ZPZ6WzVHKh>^zN4QC?M!6}Gsgw8?
zWL*^F$!$w3kx2S0v;PK}IpL6N0fqeB`h)^TjascoaLTXZ_GFI&>pSAr}a?gH|e
z)3}rv%@ytZ(|5y0>@^DHj?Q$r-204W#41?O;boUJQ22S->Xd)OA^Iy(ppBu`7a%i#
zqWwVbb=rzNMutSdrM%H&6))(SJM=<Z5nNWB_|m*?clRsoHhLq0b0DfJDok;*&u<C*
zqv!ZPK0XTHW(oHj9e9^iivta~R}C!<?yfq2nFV_X!ZlIH=jQX2GVh1|X;a_7`>iwd
zKja1ePmm-+;H($>y?{O1A`uZ$*-7(XN4Jg69}cv;vjf<XTA>%<m`7{ZlxF~PU}rym
z`SqEGy>d7Qd<SJXz&g+SprR)?FR#qyvx9>Y{p9#~RiV(cDN?fvU~4%%E+;EmwoOpG
zB!CAEU4~E>FB+99h9vv7<ON>SRPT^<#9a2XffvGo8<yBF{ye6T=z1w=FOC63yvY+H
zr=<$%Y{Y{~kKk0}C(~Js;zU^5Z>+_Gj+Znl>n&nDUP%OcyjVoYow8KKZTzM?W+H$c
zEn>P{ExhA96r^3{@?+9~!;ja*q5KsFIlAjWT}s8xmi?L(c)d%ZezUz!&F`?EL-GT^
zmR-(gm^g+GR@V6LbY@^N04IKZgpMETb_bQtrrg=|DWXw}A_(kMfyvrtWEIgYSO->w
zRP4O-ubP5p$;eas^hcA{MCy|!3=Bz#dv78YbdjV>zjPCzbie@s7iz+7rbzVmqo)Py
z0x2R(auBRQjb<^Um`VWKd^O@7JQOjuPfOS(vX%jY7Mb#cyzx~ZdEhI7&mg0oz8!|R
z3aFxHf(s({6_Kyat||_<z`0C5N>~T!^?{RyL)qfe^<gygMPK%t>O{GLw}C<Zcz~Y{
z*L>Zq*f*(ckWu9PFrM+;4xf9gnq|n*ye6UAUf?97XjVmrUigPK)p&-44k}j_$fo|K
zbdKT6lH6qlIa%X#eeiH-`hnH*HzvN{p!U>}teX6fPUNPjQE}w$GkUoY21Z-RX7Xi2
zfkz3*9^=vvSyjdnmP);|u~FAZq2kM+eW5Fg8#U?N<j3FV0gA{1HdYCXpJWpaPkVk~
zxc0q^YL%^bkSJXmyeLAsa8y~-co$vM@dZQ6)&zbPxsLo^NQFT)Ot-2iYht%T5R#3s
zI%r*Cf8m^apHywf_v$2luU+t+^Z;%5OUk+!(NQi<%rp^`#0AT+EdT6{d<VXA4NCg!
zar_?4Vy1WhAjR>js!mN1P-a6Cv9L-;^+-$%6mIxsl*iAM#y!aA(?iZu)ZMCQYSh_e
z7_vKXkk?c7XkrF}*~hx+8_Ejd474xflo<R|h(A=y@mjH#z3&gvOUC&4X`*^oPpQb%
zNVmf6VX~2!ttgqR%oJzs01-BuRaYRI#o30pu%bs*(b@8?50lsk7uRW|mgZ?&V>BDf
z*V__zfVRU|pK$kLTA^98Zd#3IewSi-&r3lTnz5jX9^Dzq6kJGMM%;L&luhGrOsF`+
za(V&>mcy(P*fG{U?Chr&-u}+m{=$~v@<0V%Iiz%%vqg~HXck~5GKvf_z>^N_=F=W#
z(}r5^2H8hE9?#R30h><Y-Lp(=B;Ss39Yc+S42436T1exT)t`L;<g$MN=LcXPK*3|y
z7V9zNfRJi6{>_JI!3(u6;}fF?DD5QxCzQ4lOiMHFzP?0wygc?Yt^aq@IR`$UsN?bB
zj@x!AdB_CM){VNbs0i=>j8y)>nWt19`!zQvoM2%c=6_Ah_dIyE&+P2mcOo=kcQ^>R
zDFv<;9Ayf85il5XfXkK!g3qAzy-PC+<D|>rw2wBeac=R?**6uo1Z|0kXr=x`XT}^i
zH#bu6dwa*zozbkK1Ni5ipVkk~%YTlY_y7qVz_C9d?5Bl}j$Rrr>pwg^{NDR^9AHip
z%ep_Ec7aAHz%;?gvGBn;3N+4M$Hv22(&aw~U{~o65aswKMha1KD+UjYZX76zp-@7C
z!0ivgf~OfZ>1<FAp~UN{-XUsBC*^)5$*K`Z?`pHTzYtLt$d|Y}i3XKS?r$P5?BsW7
z*j{!+0|PwEL)%o@*zdMcgXrb>1r2A3rA-_l;=ZKdVbqV&fit17O%T8cYz<JkOpW$j
zJAPJi-8mkWHm=*C=1}V?eGDvH1`OXmgA&jkzi|Oh=e1mw8$W4n2bb9|Q%gXPtOh9{
z+!vq*h|g#d^+YR?;)y!x^T7ST#=bhLs&?;IUvvWs(jXlY3T(Ply1Qgk(%lUTBF!eG
zOHjZ~H*7kjySux)8}9P>`kwE6_l!I4`j4@m6)<?_`o)~{w?L`BF0F%v>!3c!5u$cF
zHOuk1>zyRiH~R50$pD)P1MyNzF9v=G-uyEKgTxw8H~bP#Ts6k~F%TC6*^Mn^zdKBK
zrQiA&elzzW?<VyptSY~tdxygLK8Z^9q?$7_<e}x<1Dr`I)w|ugt*;r|R8o%M(oX{^
zNAieN+UXf<rmXz<vj24}bF9SiDtK2qnw$Y~oMDxuq?$8Ebfu4UvcO-n)rvgdf59Ke
zmDj`y%ax}%3p6|vYD?Y!_@b&WMpN36uC7zmr^_g|Z5l@>p=ty<Fqt;QaayJfGb!<S
zjFZinb$*yaY=E~M+qA*?NEhtFp<y<Z{L{{nP9a0JO!S$3&+4Lu#GFn=I7p@M8dEaD
zsh?$JSWm!dMtJ|OaY4|uJjak^VE7)HA>fINfTH~vhdlGzXTjVr$rC31=PwrP6h|f-
zyRoW-%bp^US$9+V$gy*Xxv@-Sw<(ge)$w1mg5@LjnBzVxyEc2}`yaQsRj39}VWXFu
zOKEuH_xr29sO`1#sZyb)lE?jsG<Si9YPOUL&U#tT5n>S4-!y~uF&eT8{$XDV(Cib5
zP;|S?&4<*zq@Ne5GU2ptT0G;Galb=XwlkSoJxr|%9(Dm6=++U~dl+Yc#jUAy`LfNz
z?x(c?$+cXX?UH)_3t?Oytxv3({Rz1S<D+_OiNx)}$UHKWPmwzq5}!7-_pDNBzc#^B
zW*{1)R&<b|zP_+Uu^fVgSzueWl;DIVJ)=(3;;~8erxfoGbH(ORap~@V8Hs0ZOhSZ3
zlJkCmw7u0;I<XrxZazd5xp0k*(VLE7&w<m>J?GD1zFN#nnZ}gb{X8LuNS7og7T&T!
zq&`Jihtb{=wJYSfpT~VO^c5p62AUE7<<^;SXnsx6?@O#<82?Y8RSs|(uK@S!=jB^l
zTkhLASxL!z5#n@VGkf>Tc#UQack7&u?uUy_ZhQ^hHvg2$sWc7I4yAJdss0{NllB4q
zntG|Cz`u6Vchg4oC(<c3(ey++tb7z_%zrkj0??f%tn>#``44W+^mN7J|A5WxDv;cP
z4yP@PKAx9-t0#F5P^tc*SATKE26}goHwWTos_a(|?&c44lKp|HPsV3|sM(!;FMta9
z%d@jH(ud2AqUxKq)5(7`v}S4P_e9M8JPO@GWXX0>BMwj3?bnM`Kyy^3=YkY+{}8)N
zU49|{(Bx!x3;__*5!N0r)I>x?=tbPEe2l{l&M^lc`$ys81!MtEwc6;qH^ON0M&&Q%
z`T*IIq^12q1q3XAD*vmm$H?wd(F$;vfa3RU@rNIXBd3xp{CoD`hMO{7Fl48tcowl|
zE?x!l!!fSF^Wfd|x})pEkD*8=0ctyCzAeJfId1fyxWf&@6H!7hg8j=3Xh@oCk)PCy
z0U;emxke3BM#Xlzb$H}=JQt7RprdCfNvS!56nY7mzFuHmK0nf_)q=mMciP|Cn`6bh
z_qCJzob?$oL-FKex}L}dku76Pa?d~i#)>&vjeDM7gl)Uj)pddZRIjXt4OkEqdWR_~
z)i70%GNgRNYqD`K;CcSRlxV`SZAO^@Yx17|B?QMiv#~JZl>u?=p~_n6wWUhpq!bN#
z<{lv}Zk%o~`5l~9Ae1gT!vI}sIc8s%G48kt+-Jt>g-<d6S5LJ_6$`TwRudUTb&dmM
zN^|psF;-cL29s6OVk~{wdwje-r<llwCa#6n0M<<6*Rvz4ev>5+-6EJRrTlB^>pM|Q
zk2{QN|1a%#c)e9Z6G)>m{EFQX`6_Xfs>ww>QZSFKBi24s?~v}pG|zKO`*Osdl7bv1
zs5ckedme#0!y;U28gHj(`huPeX=2pAUuC6hauG|Pa~XEx6&nNH))^d?N3qI@L{Z&V
zYBJA?%=NUwJ1N@|3m^NHbA)I~^phjV)k6|^Vf1t`ipLSS*6eApQ#JglSDM%`Ws)*G
zH|_KGC^T5&*ZMF=dBdq-TCnj{SZ=ngK@50P?HR^loW6w@o^qa|u$5&U%}~|roY=Oi
zv!$sBd*(gIr})aDH!aJxgeu`RRC%WFb7fz2Z+*bAk?YB^)_<Dvl<ROlg%|F&gydjr
z%IcA*W>X~egk(M>_PXO$XS-yY3^Y{LHwoP(PDAQxa$?kw@i<FOsnKT>Ip0!iSj^RJ
zm6~coJWSClR{6PigN=c396ZRb?H13z&FWQfu(ZDIwV|>(>Lgb8!55M4EqJ98t#wmL
z)kX|%S96Vf0p$)g?1d*~lPo&r#Vv#O)ncjzxIL2?_-sz5QYXYYc9C+>4=Iu~?n#$C
zx%jGb$8n=pqB1OQ;g67BQKt>9dA;kFlKtK$5W5h?C63h!?Z7Ixw?&jJwxc5VjYxA~
z2!E#FEk*}Gp}*NQ>F82dmc|irtB>z)a_bBOxVmI$DP1yVI$jrJUn%{x1p#)zoAZN(
zg|V?%S?Y}i4?q&@b;9ZG2=vGD4siYiBkVx^T;mHWA&2%+jaRNK&lTv&pBymm**Ee(
zqLVM|zlcgN1#g$oh$p&NA_ToM=Kg_$++WBvI5m~Cu)LpS&qdVpZ}&>}#}A12AVm$0
ziJ2MC6!CkQrQ83gf#Y2Mk3lD>KvMcA_%ixmKRo#8<=x()4a^iiK_CHNUq?f%-jPl$
z4=(jUW=rsFQzsa$kFV1E<n;hoVv-0MXnQ~quHMzTJ$TmUcC({&ke@7L<K!v0##7(a
z%uE_uwt)#LFORVt8evUqE2#vnsiS1{pa++fe>|2ZzSaC@9d3dh(Q$8><J4X%*UBc~
zA)ue^Ou5`KYDCc?zqAL6>cUTSZgOdpZLBrbhPsI<LS?BV+TXAhe$l!!luEo0?c0!S
zMZ^f;a`zB@UKX@Lnc9vz(nD`KUs_a@6iwdF`Re}8JK%wRj9iP+u-hp@;|VZ-$TGgX
z>R{v`Rd7~21ZNNO<9X>IL%xQs0R-AFDGwD!9!cyRvsgMe%*>%Lyp4|+hhLuF=yU76
zb<^Wo8e1MbA_tSqR?0&!thiupZiRq<U6vjcn5{FqyyNZ5aZr0u525VWKaJLrgM8TM
ztgtvbMU#Ofz?qa-kgrZ@Hab?UKkR#=LX22C-J`QjjQbikcO;TSLZVPsF-ZH(F_6k7
zU5%V0R!zmkWZO$c$q)$$x0$Z(nlEvY5=L|5=(q%Ane9F8*0dgGghxIsA;rA{zw$a@
z!adqVp5>WFA8Q_EfT{kp6fE{&ke~d@S=$?v$@#qTN87&tSLKJ}3=(iEo{EVI;ff<;
z5)Sio9TlBS|2J*z_=Zh;E>m|gJSSQ=6O4=V-VYnB;t$;|l0y%ta1jXKT~{sM=1uj)
z{^0Ux4#o_<>>JjEVI}g~8BqrtBH6O5%-({=8?@(KFja<(MjjdErRT+p^j*RV<jhe5
zR^>rhh~H)slbzdzR}uD^wWZS&UL*dsuh#itt*vg9OSwlU(6MPPhG#c=8_!OPare9F
z{n2M@l83V^EXeMBK>8`o0$*lZpfT)z>8UoiQ@%2E9M|!b%=`YXh+HHCV>G?x?llsP
zN8|?DL4IJ~W7!AWho@zeLm}wSXc=Z-cRzP-nBwgV3g+Oxm%Nt0;xxBEWueAF25y;G
z^a?s(TP6-|bYDuxrOxXsG0ts$!`&F8JX4u&xUdGq?sD1l>#wIqkr7?WSArgnB7^!&
z_yS;71ura*rtRy#Waso-94Y+r)DpaBbhS_#`!uA-8!+T;EV25mBtZsO{|zdN*^*ha
z(z2_RuD_yEEEab(UGpvwviIp)S8Gr@cufl%v_7}({NA~wh<){4mL@CP9KZh4hfa4+
zOQ2X95-7<OE0X*LPe@&5GZkeX)bipItJ^s(OyV4>tV^Sv+x4KhZx9|wG)^0@2E<T-
zjsKqL_J4DL)|UD>7k=r^)UB)f`{iM|8rEEYkbo0tY%!t%Cc3MHwsj?LwZ_XoeGp>N
zZufIhCH{_ARs(=4)EaqmA1zGadMH9&UA?f`j@Nbnc4(D0^xwsAAi?bE$`Uxs0cZz>
z{qF>?yYuo`(f{CJ^5g#~e!FD>zI4Be=z!);i#E1!L|#E5LOEBl*gKQqpSX>_ZiIC4
z7smmphcm{*fhOb{3;gv#ZKWL4h&oG*Z*^pOELsF2+FVuYsZoy$k2Qv{jr+l0%9z0I
zYL7Nv!b?8kUj5}&7@1h|-c*7Zl+ynF<DJy(w0d6K;5&khcz1YqPWyK`7LS8XwrSB1
z9Dr!Wf6XTbH<>rDoXh1yr|g2Zm03`BB^Hv~q6>8dheO*d$KH*jj5x`c^6hk=EB3oa
zLve8&EFBT&7s&wDX5`C(AmVR*Vc*e`=@=@hM-De8bM$B45sr5-@3<fF&9K@eAE$<m
zu?WfV_0FstYl>AXvoW;M6_?I%20zu*#M<L`=-Cs_2hlKf$o8Wk^2WXNj;Cx-=aPR=
zg_iQ=e|&!<Fq_;g3msUwBQr#+Aqz>+*y<wz-)ix~t6XPVAWu5(F?7{zhSLiOte0<!
zpSV_p8{|U+^|=Fn(53{gxpGFB4V|`%K-^|ufQMP_S}5Ndo!&rh#}Pc?m)Dk(@39&`
z8r}cl0(2GL!y5G3I!LSroA=)CJEOLoWO79nb4FI29d}BLQKm4UD43Vz;cJLzk#+l?
zH`XLc8ZrnmvWy=H@tlQ1GBqXGwH<iLOP^ZR1IQws!Bx$~t3_MRMWL}jr)p?<(x5YG
zdF0SoT~$KzirUDwf-Sy<4o$gj_nKsi3t(}*3}RRuYv4!n@@OxeW1&)dGsgLOS`EX;
z5CC-`bX8J~E*(*DAz#>^n)%^B)qk?n+w8ZYnt*1-Q`lx^(V~3qb*@AtTi<9GxTh{v
zZKZLH+ub1LYk+K>x#5<S(98)Rnp*rRoR%H;_NdPWOl1C*I{drp3eUUOcPKEjQUrZQ
zuNyr$QiHb(gAekQK@<q~xK&fF`>{Q;<<jKzXAWOv?UKc}om-`I%0kGsqj~&<g1P=w
zBPeb|c@;!y*<lo%`)1q2%c-@=@G5W56eo$Vo|cgu&X1?i@gla0l6M5M+r}Ym;kl&W
z`!0>|&W>umMWD_N-eVLq0du2e=1|$@hHj0PAI4^@9ZZCQchsbXqOJ{u8r1j6xQ#c5
zDG;LV4mLUUI<Lq2wlfPR;^wj7X!8z^gM5-Gtz><^aE<50%znm(bJiTTa>j*d>3xOk
zFTh`)!LJAPL*dmR43)dAvxz{Ci4YhFPS)oAVGaeETq=(*sy)mB$wbMEKO>uOOzBOi
z`EF7Y*E5YRRJXNFtB%;pn%x%C7RymZ8r{w}oG#Kwrlx~B0ohZZKE<1~igev7Q?c|Z
znYyxL{zQk78pe)+Le;k8>%Ygyh`$M2_75>6RxjoV`vFcR6<yIQAMiyl4gIyjp>65P
z+k^|3;?~xC>0x+_hNL&|6ciNH)W%q@{uH+S>cU*F5$e|WYY%=o8j(CtQ#7mo$4*;#
zz2!eRkhiF}4i13Zc&)a~ooU(5(vSq{UF^VZ7cI)4cG@cSFSKd_#46#Wf~m698m3i1
z+Bt^*Pc|p_7eIRm1nhkYy^rv`ODtO4>*u}e+29r}e@fxiOF${y-HwY0pdC1Otp3x?
ztMgs_4_@eh2>9-i?;vaQfJI4z;}cS$Z(TU$Zf<~CqABPw(?ct%8=ehDGdo&d@&Z#B
z>jErsZf#^YScx7~)IuC;hF+=5&6?j<>%wWaWWN+B1TVmWoKg=%%E$cRo7qsaA#BDG
z3X&%DM0^?OCp2#N_uk34SHeT%I&WebV_K;qa2u-#%kC>xL@?2NIJ9m5vc1Pc`aVH3
z@83Sx1yrm(Sk3qX@W)~^>_=y^+S-CWW{7-sKV1JTY?lH%w0-j6t;f2gfnMzY6s2Yr
z07oVAwb#^kja$kXszL?uEiJJMtt^{|6@Fl(@9W<hib2+G#>L(^dwOaE(!P9L>Iz=1
zVvB;KP_~YOSM@^RWqmhGsY5wF&hY_;zGg0AOkBaQ2MPzkD9g8BXDU*Jk^w0vE&}&>
zmv=b!()@i+7W{P|nWHuW0w9px6gIR(p$PM*LzP{WZg}rXKa|%PK+CM&cgSg<mn-JI
zHyfY@6QZxQy+(w5r~^~>_bA&il^v))cetb&UfjI02L~7lah4nU^rv=c6A<n)+vW?W
zUWAcp&$R?e4YVO^t%N+Iw<LRSYe=6(1&&o_T*o-9dy0YlihLkd1RNszg}hd<)YZp4
zso7v#Sz<Q`w|)#sz1LL<m}^te<V5cnVYZatky~${1A!WLltfzQVmzSkMD88k3Y}ia
z@aP0*&;(d%@R3+;-`~^K@#Y}QQ~TD(F}^obk>R(wiRfe<?#bW9#3xAoxH9}zn9BWw
zg2$VWGJ#${+7wb==N_S}cYh@?VH{9*;HH;lmdZ3eNvp+6Y&2z!TQr-<#>K(etlIJk
ze_H1-s*f8UWQEV!j~DA>4==<_M-ogyJ1FH;?;ff_mgcbSif)c&d%-xSi=eOXOmsHp
z^6l#}IZHI=yBsvykUIxgLR=e`h~E4|olg-|P7Am@;}lx0-;*cwODnlkeVYi3R^~yn
zKb*EvXEvE1daBq1bo9ElDmdhZ1f#X=#u~lqaZ?IM%=j+$oJAC-P5A>64#WduJW>Pi
zGK-eF@mni$j^(taUPU#uK8MWWi0bAzI$RTu$bXA`q4rcw1u^pH)O9MgX#Ob8*v*p=
zeXTjmO_H~tV?B;|M7!vsbFHfuNdyYpMjGpJG{lt<rSTXnF`f~N?Hu=62oYUKZgF76
zT=I@5ib%hB%B@Y*$HLpCixW>7x<u)az}zh9+yN?a#P#Cg*|Dx44J8UnQ6`Zv4$feA
z=@F1BzV|B#JJOVU)kLH<ZBIqE(G%k?^*ts=R6+vU_c?>uK6TC>h`0RypYfLQ`Y=p}
zvEkAH7%o1f#9=jAypfvpznn!_PJYn{+VJ$Wx0GH0OoK7c`-@nTfB4{i2mt;hs?x$@
zJWhusEG^UzIadMCUtR8%KiQ*=Fu=c}_^{6Ut$L@hR^2H`^?o&E`cKa2pkm)6@blvA
z>~4wlekr}LeRV|hPx<Lfaw5PXoj<ss`^7`QKUH{e3f7^fHW8$}ngOIVXSY~4S0@{>
z%D~Xhp}0Sf>m05IxTBTUGv`3(0WgUI!;XI04g)dS@v(#B8tb>KP%orLlI!d1!jb0m
zTT<`jaf+10(dN<+NY&h>)7yv+;~jR6xHyg~oZ!oHNov#b%^ihlg1{EDvg$Hvs7jUu
z8MdgLvn15-G&iRyR-^+|etCUZjtc}&aHJ<+eE9jXDs%;Jx5SbIMMP9gD11J3xNv^!
zK$BC>!3TH=EH(pe_A{Xko~3fK{rBh+tbmYaITTHvdW3=5O$cgei)t}6h(5IJxtuWL
z%VZPR)o{Kpl`J?@xfF((&o|D%2zA>YEykr*H_`E;H>5Jo1eFC*3pl#3P+E<v#_MBi
zN{EP37@CYSuDIxl27NBIFsUM~Y%RYWmN@Sxb!C9vKT*YA+Ut4;DOZ)w0GyIEpGb$D
ze!rnC?OAGt#4rFxKxW+n<6Aw7nHqo<iut3&@BM~PWlR)HR6e5d(Ub5&wNgjWx4u?w
z`+qs5>&kQ-4IVHT?K*=-WIx@KdEX$?B6%iD&8T75vn%Zgh!@Su9M6e9*Lg~$;8Lr}
z@+5MAR5*uC2Dy3rv9Y2d?N}|hbQ-IGbjufm|E0ZMI^ZOrn{RT#q<p#=%$m7!vu_<;
z`z|9D$`47Hi+tHL89;ckOe{i+drJGteG{WdmMXC}S+<{()(Ra<3X7pfm?eSb#&v-^
z&HqhWyMBbH6zMuoB`}3E8duI3acz1X_LAFu{vOXXbCEJy6HI~82#75mN+oRu7`dc#
zNJ+OV-MQGbwL@6L`ESZ!c4nBxR4awo$x|wKU)Xq7GBubyE74Rr#yUY}44AJt)3aj?
zGA2k6BDmDSbjLRa%IspkH#D2@7mlt8tmWp=djjWWyKkk%F=?a85TjRGt>mXkB}~`#
zJI1xBQd^zmixxy1D^`gXx#Q`hU`9$><7rUD%(!L6>%F%|(xwqj-`}V}?X}Pw>tA;T
z!Gzodw9Ms>LZ#R6zl@BaP*xHxo0>cH%al52lC20IITMBVTPr)tvQ2LftsinTQ>n!D
zI?V@m)~dwY<)H}KMWjaQM%^lJcObZ0l-L<7N^>V^!8`qd5A>cl&P8q#dB9=r&k{|J
zmC&zx=08*zrjhl@1!%^sA-hLuqFg&arhDHDjfA01-Xhl=5jZoQX5(hWZaOdXjZ^6T
zG$r4&5`SH>_fZZyf^~^F@V*V`qI(`W&>51ytft`0-`-?dxhC%Px!)y*w9+kgS>h#^
zS6SkfPGkWRmrn5IqoNoOz;-BZ@|aHVDrB!{6AX-DxjQ0#u;(Lb3`lD{^k@7k=-p6V
z?S7Q`&nAzmW+z=N`iACx*)nmCeh*N>_pZHt{-J75z8fYz_!9t;ueJmF<RT=1E<Shw
zs}u%U2(KDu9<pM~{;Xd$0r(0%vX+(rnWE0&>Uga!Sr<`6L}W+Z>Cr#=Cq7U|Gx^nW
z9Qe5JNXIX&sX2wGx2v<I^arkH`F=4(kKFhGK_IkJ3-oVN*8$mo3iJLUM+kQkeDW4<
zRKKd%Ya-pg2%qwP7R`ta=lUgSi_3J-N}g{m$L(^`g-Qav^80=kuy~f8u^mN*m`YtQ
zH41#qCl9s6@god(>nlu5%lW0q4-+fvWqp7@<%XmYej19u0#ptMDRu!f@fFtS1i&bz
zusJ+jI{8Qki~;`oVzO(Uc_*A_HkX!gV)^!U4e5o!ij`TgxxJ^BHnbJn1pBaNkUz9t
zsM^4!JPo&yWLrF+U`5ESs!SJJvHb;CkcXYpu_#{C2wuhXHL4vce`akk-P5gGc7ZaW
z!~bjWEC`X7YFCROl2(_KfOOxdZ-D4+ulJ~0IsWXFc3NEfW<L!;wLq_#K+_#wz6r#r
z84#$Efj*oQMBU<5@aKzJkJy7lsGf|F+I}{#%)enfrX-yD%z<TV&W!z`2$y{dZ)lRL
zp5mQ$EYX;rH_s99eZGS(w54<sn<WeS14TG>`OA#v;t{>sBC%Ol-RCzi5(B4v(dMV}
z0k@dW`VS;&FP;o$ieqME5+pN6!>uZZS>p;cT+vW!=FV#{VmLs+m%vFN0<|=a*mBMh
zV~q;)2+UDdc_i5AngR4QzI?q&IzkhYJ5mo-e!3E|XTwa~LQ=<V=B<;3Yf8B^f<Iak
z6NAmVR&1(>(wme7c-WIgMs0n?jq^{a91oByE7ToL49|S6Z7uRvc8}#|dDZ>Las&S)
zuZb86JA2yGIu;|N&(b-K9!o^m>MMP+-j)x-ABk(v%`sk<GukU}i%@=!kVAf=Sj1-&
zUtsSMj&{QAY8e-Yrt+-6(E)eNO~x<-cYT*>?X*F@%JuNCzqk_dIWp5r$0hpp1vwgA
zFCG@==i19Z?zuh^^tvRRd5^#m;qwU@`HlMzsTnr8XpWuwV4I2k!lZYwdP!F6`dp{l
zddtx~>9HTuGf?%h{c^m58oUu&>*;Aa9dj9A?tHYsTAEx^x%+o2zraV2v8;+wIVQbl
zJnb7c-ab&iMWD1lzN=e`Zyb2w`*yN{UTplHliBv+gs?Z88qUKps=rw3ZuM8>EiV4$
zxN6r=c6Kt~@}FMLHg@38x-n;pCuJ;>sOkCdrJyJ^Y8NiLEi#P!B`Tn36BtT2-L<0V
zcRA2L$}{+wJ|dPBz1ET#yQplvlFb_u#A-fJzljK*@%Y1I2=fpacjG`{fzo$@&u8eH
zMKks83w=Bs7q~Nap0!{Y2KH3Bht!zkGZAyge!lo<aY<0HQy2>04QbhE>%jvAWY`wb
z^Zi4I68<XfVEy@!d<^MqXzR!%_g*g6aN8t_qi(sGb4%81e&1n)=W>(fwkasRd{H&q
z#ZNzywuz*{o-xWLxIK|2cxj-=UGaSq+vM^<!SFnl8>%~3Nki$|0kPBg$Xbz7<Y8fK
zmyY1Nx6q&gg2NItu7!#K<^D-{Hkf(YHnyo+U{~h4X^yy^lj)j}`;LFu`JfjVg-i6d
z^b9_^40`IadvB%<TC#{4F3t`M3$np@Kuit#*OC3`@R5S(zYf($mvpCe4AEU5j@t01
ztX%L<@(T-Ja7=&=1AZ@XieCW?TI%o4XNnrGw~yDS=I8G(9&Y=O*QI_haAhS~)X=8H
z#1PI0ifAPz_SMI;rN%uD#$vzEKlMR$BlqKSSd~=6nRn($lr0p+00PZr0AEW(@pWay
z@#KFm6uk(!xqEbA$K?l1U%4$^^Pq^V!Wtu|_}5WW0-SpQI-SJa4o2s(ErDn>(OprP
zUVc;<|2pQx_Ad}_n*c%v2_M&u^lR+xot?5NE7xpsC_A=e=c4dK!W!%>@0R7z6BS<+
zb0m(<E20MzMU>ju?$$vX6oBCBuKhaC(?}S!Q6p|&ThtllNS&-wsU`SBF&;LeT@%th
zp@G{&hR+PHMC(xe_I;tC?E13#3yMWIAIoMPPdFV;XE%4&U-6zD^kXCn>C`DAmnqPS
z_D`^q7KWH)*$fem0*2@&e=lr;#Gf)<=A(_7*f@j)l`dX<u|g+^j&bUz*}|kcJJC&u
zG>FFNVd<pe$&pJ(q~b=!N@J#Oe8$L58qdkq5r<ek-tseK!S1OTRDarth)fHwv2fXo
zouzgtCT<ujTBSVY#G&7g6XMwrE1*4`pi5PQNn+QMH3|&XVBtk=mQe7{OE$0lbRsTW
zk}kNyw_$8YqGn;Q`n(Sma0#eB;2_Da(hsXtEn5DJwO89ZhFqP!LsTCxgrlW#!%Wr2
zH-{xj4ixOo(eXW?iY*;@9$29|;OwiZ`6`rLgiTnIawV00F^Wb~?%{|yKhcpY1mw|b
z+0EQ^s{VzUnfX>XU%JIyhcRFz%`gH{MQmW~J4Cd_@Quuyld|A^n1>5tAsdJ#uC*mN
z@f&RVE|%r6=9I)gY+AJsncbk~1xh+v%28fb<L;2Vg<7tQ449w;={!Py8%j9lFgOEU
zNG@ZOC~BC~Vs_*SRK%|jK0DX<;NEb$LA|<TwY0K)ZelxdnC_)QZ`wldv9*EZ;C{E+
z5tG_YVK>bra{7WPTA@L?LuZ1S6Ox+==9YzU))CSrZhvV?jq4bNSHaY+^O%|W`gd3+
z>tDzn;<xbRHC(FWZ*ps<3WQ8(CqyHX6sYYr>wQafr<6~8snQbe<B~WD@ehWrDl@i4
znahZrW)?UPRHx&`&tF`(7q{qj*~BzuCVBl(PnKeVqBa$%>oG*c1EXQt<Jv2fcUwiO
z1smi*9*I?R7PVLuWb0UAkOx0Iqg*u*s!(V+iCMi>N<b0<cO$z5oXX9bbtN{Ty`S%8
z%eu;TQ=!&+cqf_0xF3qcHZKv}e8<NT$8fPda|l_U*TNwevFB>lp9KGQjMZ&0h^>Yy
zlcY7hwWbzQg&B{rI@*Ekepv27W(NV)Xx+ZB;?h)8m{Sr!Sg0)bFOIqYfJf`d9uR5%
zS|FTabk?(2fZ8{Sg{>?NJ3{H;6bJuS=~YP3OJ1Wds%6tf>e4w_u6G721lsm#$9W%s
zVU86lptE}u{Fqe_XTfq+KUJtART08-M`r-E;o%Bu$5~G?3KD>Q-YA-pk#Xeq;hqg3
zG@Q_o{e}PtI>3n72hvm^s7eeyYYes7TyBHX>5%@75P?UJymvf2Jy{b&Cw2;QauR7Y
z*$9Y9Ng3(rl4($X!^F_7+b6wTnr|PDfuX=Blw3}mgUPlHni?834_AQoc*D(ptqi>r
zKyXk1l#GnbSif&gOUCze!RDauq#qc`SJx^F_+nn2ll?}m3mlR~+e&Q)8b3F{O{T(T
z&Z8$W9|EU^e^C2<ae6H&+M#PZKzcg|JRD+(`cc~A@>qUf>~x_uN;8Q0_q(OEA>3L!
zYz_i#3zM>`a1wr6zaUWx*BbHPi&Z6mLA4FQ8+j233})|dc>RFs^+tee9PDf7CJX{J
zET9GF(9WML%tr4`6g^n{6$%t!vN($&`ioiIV`@|^K{T1hi%!e1>l$U5G-Bcj<3X*k
zT9#b;7Q1&LgJ;O>%OYp;UhHHDMTjcQ=!cNwA*X<{kDMbEPkeptV@3Lh%iTUqJBT6H
zn0f?Y#kG#9wXwXc3W#^oxHt{(T7;_H#i86aP{`!H8d~jx{OB3xx$$+A3Ts{~41&R?
z@j8kiw3&guY^EmD_+#WiY3Agx(+?hH&&EN}HbbwfA-8;9CKAW7O(LMV5#L0(_q?u5
zgl7Y;jZY#W6d-a3P=zx!S9zvWzqUIS9FYfQ<{G0P`q{@ncSb)_x?(qduUt+1GIK`-
z%)$g^LP#;t24ST?)^He!3kfE0x;&?L>i@A7C8Vez6|d!WX4IkTXkk34Y)m|x%srEr
zX@g7bDTQ`zaoW|p8K2fl!X5-s5WH`oE`26uI?8s4t9fy2*UAG<R=*n6VYOt!f%o%>
z^fB{`;cdBQfsDUrIo%A5cP*BkBp4DV|HZ=fF-K-0TO-{(z02dV_^1=HVvnA}mQfcq
zKK6iCUW-IY#x}`|?6DuNGUTnCrbRg#1*}&mC@!q^4IVd4wd?yPJPLEj%Q;uM8&3VZ
zULG*FS;0NzRJNhKYCebLudGgy$aShJA>cW?X`?~n)I{?ZW~=A;BN>IF#_04-<G^r(
zq8`V#%geDGK!F|XlNDTv<ji!^Ny}3&4#L^*VcC2+mtA&jz#XFal!tOdXuSkQ;DL%L
zFGi>u5v$=HPCQ$W@fQweI~&pp4|smtyBZ~sM|B&`NF46du~gDvg|44P7Purrt~v?^
z&uh3o4Npv@U%gR7wZ-sYF-<3>?tNxthLXpz!r)1uA`_9b?(!Z?$-?^0iSRY%$snOW
z39+H{9-2xgc<-kS1FtTNSR@R2tx!OwFKZXak#0Qn>UEUnY<5SwB&=&)H7v~I%6VFJ
zMu)-bOsE4um!3DH1<ir;lMkI1qu@N;{Ouam-Wpol+?Vif?qbgA6SG>c%ox11uI2zC
zMwfJt>zw#5eX-5Jo{K_|jDMD@#t#RiW~_voE;f#^cLZhATkU_1)2;O!5YsZ7D9M05
z8VU%aP1)emvHpdf$g}L$EwM$l#a(<vv=ehoL@J)2r$2AsRh0;a&^1ld;`j0n1)1es
z3Let!1Ma?@a;!z2f**_W^Xo>={@(Y(%?NzIcec{w#iGFle84!$tI>POiBm~ex54iB
zDvFxG!$;n=Q&t@0tul=D<uS5=MtXwpBH1|i_q7-}j{tz7$9@K8F$O3T&A}$_Oa6EU
zB``0)8(`XTTmr)HbvU>riv@t5Z*F3u(vC;$KH_?r_!o!X2SKnzne%YFF-6CN`fnh4
z4dkHe2aOM2UiL3Y1?c_EY-}1v)TsaUM(LgaT>V}r`t%c`+uy&;Uq2gt7**@*4Ou!9
zxO-%BRK-DF-jOKFN9Oo$d;uu3td>$42hSp8JAZCDb&_Gqb^T-l(o?2zw(aguHJB)F
z^k+k`9g6g!A5>w530`lag=+tzZLxDRpdRppiv^4n4in}|W0Vh>S{w33s#urjISjSi
znKV0yjo=KX2v*)Z-lWy!K5;z@)7sA9U07+7W*al}a`l>wqE1W7hYt42jw_4ke482(
z(Rd?3Lzg1Lw_k~!Wtn~=tI4|#QmetwBA!a(F5l^$BF7({$U#$gO8>rOA2X^9jhEJ`
zXX#uUGF;2Ss<O1g6e4g{)9?<X^R1$LrxJ|WKIW;AnPmq{hk*8vPFOD2)^W$`=#DLQ
zh-s-aRW*^>u?jPgibkk>`Q?(0zVvRReay!>so^r!-NH}qg2cNUedu-&8%WnY;j^wc
zc;B3C@sWEh)(?{9fx3->Cp<cFZ8SI%aj`f`Cx7r#d`02Lt>+M_=4kn6Rc_WB1pd>q
zi;(J@_SxVpOIX(FU@HVaADmpo60nc2Qu%yr<heRhq$;~p?*6c6&OFnZ^u*XnZrV`g
zz(_XXa0<O2*91GQZv`9&T0J2UO!eVXtM_ddg7sH?Q8m<hDi5e?N|w^bXnyw&K6}0k
zPKw%w8k@JC%orb>XJ~=e_km~rjc>sYo$8Bt<L{(w1!(WrQm?mbQ20{qQ({xErb+jk
zzI*Dtj8SOVQVvFySw8F(!za3I^T4k{&A)@7iE~HhM>eIZqg*_EC5&n6kCT=Oh+s3!
zO*!buR?B{)x>Zl>Yg(}=U5zy}IyP#9kIg&Oj_K1XTt6bu1=j(MT`?LfCh?lSnX^kb
z{0M5F(@#!4yY{em^gcq_hnot-3t120<F9&ee(`DiYeeC4^i*b1deGkoO9@3=3J{xm
zo`x{A;lI6*H!dle$P{R{OjUleq<b}{4M%kiOaIFzR>2Et;Kj{4jZv|;%%fnn=(7gR
zEpZ9h$z-NMSNXfI3p&&EzNt%oC|+=lzA=nYLlJayZ5Mi2By#0tNk6%hOxCoRf*wI+
zQ-5E=`z|&IuUwq6Yd4zp7FS})Thp6CpNB*4OjoY_c;9)Mf(69=Np%|E`N#QOcYSJu
z5xKhR17!6}w+H!WrJlSFm$$v&sRHM9`8YYt4Y=z{_0Wg9mmYp%{k^S$-5>lrYkT&{
z+utj({-~Ysmx0}uvdi8yRqJ{zga7Z-`y_ln8M7oQj{zUeh1AkrwBx^XJSWm6z=u0A
z^NrtYF!<v^{e^n@ccA9IK$3hSZ}4{<a<Kf^>#BNg|NQ(smSL^3LqKzj;`ePg_nUx5
z<!=<AeRNBD3FC3uedp*{7Fsryk4_OOIXgt~`&EbdgAgyZCPqhB9jc?cj9gtWc6R{Z
zZ;qJzOGDIOp~5%3gv5Ll$V5S$5Ssv%FEF)1k|<G>$*=bIo&w*m1&d{}AqN6lxM!mE
zz2<2|;Uj5LM!i$!69_9!LSX4MI&piG7$;<e;$7KTf^07D#Y^e?_9yiEQkw<oTCt=*
zZ-pgThjsALqbIXcqC%>YFj*ZNOG}uA^NTZ5p*z-GQm=c}GFU}c1HqT3ky;TJv*%Cg
z&Bs-5jO=O*MM1Td<K5pI8?cSVqFAbCaUy;80~ND-qtcd~I^TD^I*W^UT1yF-8y24<
z{}pEe(bQ{UwG3A>lP*QHFZ#2K@s=RaN*v#cT3crwL89QrJ4sNAh$NAWfdHCcfncJA
z`CG%l4&0k?l>VU?PZ%muNEU#ig*ADvGV>|y_WCeskL9(qesFc+HxYlGg&wj6ZyZ;A
z3r?uMlNEQb-z|FPmx;jPlR19Ld=uzQD}A5Dm&vWBgmwAbPbj1bCuQ7f>RxR6)dmX@
z$rE3zlw*WYz`)uXAj?GQybDPkU|;X7p@Vs5Fi9CBsE&197&)Z7sk`%QoXl@Mdo
z5<5zhl!JB7e{?^B)e;-hh7n+pD{J;<&x*w6{v{d5LKx{@Xm$^h9yrMVBE%MAezNOA
zAGYrS4=H;`5MXFRT{&tXN`W<L9c7NP&}9oUMki^)&AMoze&D3_)j1ipIOqqdl{>E_
zf!Y0WAO-5#OT}G3cN`$wS4H2Py2!q(e_axFWHGTx?e2xeH=;M^#ksRs&r@DStTyt1
zeF3d(NrQ>TT(ZbV2T%o`rvNui$quM`qgWw{qxW@fCqt&XC0*oh8mb!0pl=~5I$A-8
zj7RGk!}dkLYUU{P#TIGXrY$5)9eb*TX{DfZy9r&~6jL+A>+D_rx#8;_zw77lC+lw$
z5u;t$lwSGrTg0lxE^=#GX~+9$6nsB1C_wpYL2%O%@oM9{2N8+^o#pE`9Rp={dLM~m
zMJ-J@srm85wekDBpB~ue`I!NW4@=V6!FSb~uax1sv$Kfb48Bd(<>}%09i>d|MCGoq
ze5_*mVPW$gt;D?qXOfyG-`vkGNFE<s<2}7-a8jZ@8}|ZXoKM-4TE+VtI!Tof;P3I7
z?Y#RrOZEwB9?IA}jtGI09|rav-r9r&!8bMbT+9;>2mW(EiKL^xSnpdwBlO%$EbP5D
zS}bZ%v)c71l+04IbuspqZ!^LCCuJ{GZ4LQJGJ*e)cWbNOJ?|gl1ml`A$0W<rt_cV#
z>*YaNykn|L=}MvT_qxmRXa>I5!-3}lb)c5h0~))VjAW*IPw`?qzQRPq&$@aZBD|Mn
z&McS7-q#S2cMTn7klEU={0pL`Rismk3+*FH7nhK5-JQfhdN<(rcRV4}if|kC1n|dX
z%6`z)*8YG<C-VEu1ry0)ydFm~{8ss{l<v(NO|HL#pE(gAU-JU8!E5V1bxBXpn^e7r
zy%1cX-<P=pxmUc3vGE!(8K$PDM!n{HZtl~0$3K9`3;-fc?c6=UrI<@Cy+0bkd0>A0
z`^IzpHiw!jf4`Pf<<jH-RvELp`fx8l;qw~@gK&R7_|W{pLB9Wr&;LDe`X5o?e|?PG
fr~mKUE<QZAOXWG6d?q3H2sos~<V6dG-+%r;s8v&#
literal 147024
zcmd?RcTm*Z_bu2WAfN&Qf)WK4B_lb5tpbuIOO~8-&Irg=1Vkif5s(a$b5L@YoRj37
zgMe>0-tWBny?HZlYG$hDkNH&Hx@~v!3Fn->_gZVO({JTu#IECz;vf)+>(9lX$|DdM
zA_xS!Hx?SaQ}El`9R7!GE&kFDfuIOL{dXy3e%k<nxPy59^s%CI+}ebTh@#Tel`VFL
z!h*Y%S83jrB}M<1-x$?1X;PI{Gf9nzJ}}-4ThI$Mv5YntRggbXjJf^K+lRBGpOb0m
zH{M~juw}DfYrl4_u*z#Zx{srdwV{q@>+Cdnagz6Nd`i%65x2JdFrl68)-`mv71Tj#
zX)bo<?@I(C=m{F$-`CUVAL=gueaUm_-qycgkU?Mz{C(+7IL*h0FlGs+5*9LO`xFyH
zDs}}8(UY5_RqfjN?q+Z>>WO2}jHZ*rHL9F%jPN78zsC!@4fayQ`yzxh*93|(z5e{3
zS{=%BvL`|y)?Xlz4PmlE%S#X83rWk?n3R7nREK@X=imFYMiZaD^!MF31cCG4SBMAR
z=>Pxx>QFBXMv(#r21a`%OI~KCt^J)ItrmSYq`0Z+%KO{w<P=wnD5$Ba&4zLf3T<St
z5J{Y<p|pN~baeFRY|{(oXp|yaikOgaZs}o?bTq${WvS%^IRyqnq!Klzb&rbFn5gv|
z{IK(CPBK&Ud=6$;2D0FU1aE)z`iPKi52{<uFD|ay^Ic56*2T%cSWZ+tPn8!FyR?qs
z$d#WL&Y;4_hmP<*z~E;5ckccV)|1HpYUzc9q84O+;ipfZ!XC)-@x3E{5ZR7R-P_ws
z!Dnx6&)C_pxVzX9JvTEmvm}B*kosJ#i@L6bj%d5H69+M|UI{LX(O*mWYe{Koh9ln$
zP>VF_#@{uymR(U1gU{x5ep=!o&&|zU`sK?P?OM-Z+%GS?;&|;&_DmL-E+d><s4o_y
z@r^%+UVlhPNmpRxZcuq1%`Eq&Q^3f1OGDUr6N*bqD?KC%4sPgz;dqAC+Sw`Sd0LjD
zXJS!bUk~^9H$3WEVaU7#H09-get8~7PVr3gZ3yasfXE5@J~Lk9L1sjY8Z=5QSnbZk
zt*E&b5fRDLswSrh6wDY{;dk1wU;f!RF)`6wP?Y)U6H%)COAU?p7Y{z|gPM><R-4%$
z@%&DFd^q{O$xi|jP%-!d6*@drB`N<#IKsQ>?{mT1|E~s_H3bEnvZ(CGj~~whiI?|X
z#jYT+s9juK{62jB`jCW#M66l&3c=f7bv~ChE9`CT@4&Zv4p8@E{QKj_j~kQKt4j~h
z-#niidjk)5k%oG3P>HFCgh3@YPSC9+CFPE5wN^?m7CM^P72PXVHOC7x-vh2=`leil
zk@I%E1PM#TZDxIaqS#CYmOz^LJpwUEy^wLRFbn>D{{OqrOnDbFlSSv*@59aU@;)2}
zdPc^3ej3%T1MTfu$2kt0lhq38GM!ea^fgM4y8E6%frDYamoH!DlvE64slY^59IxAN
zjF)qM$AmAX`=VxUH0I++0%XflZwfEDOkl2fvfQs<zrGHb<|vPKr1hKb!{weld9qFr
zb+a#BcB;%qPcjb!{#XqSl@g6(XXobb6Fis9yH87N*!2Fkqe+_%>v*M8H?#E1?eBQP
zs6~OWmcLl_F<m;W_{aq3*|#h;N1u7u6_u0<M$D7tjMK|jUZ|<@8TZ_w)qzu6i~jw(
zBu%LO`shIK3y#k>bH(5TZ({%Emj8!g{ogA}o!#`Mq~iI71yc^vu~k?dgh+aN`i+T7
zBcZA0=H|}M&aV24iwR`I8W72P7ZemOkt(ffJyqlJ`(T|tkq{sMLs;1N8S6D7Qn))r
z-IMEZ_M*&=4k_e60RaJ#k&!`x{ey$VBqVOm&i_26*>%)sdnqj)bS#DXx;NJ~_&QJB
zc)1<7`EXAh@ekbsiPUc@0tgEwclXmouk+SV(IHX>2J_zx+RZgI?h#aPH<3+FPBPu3
z64872?j1b?gS!1q9RJtHL$jhxm4tzfo}Qje6*vgv-HU2kB#r6&m_A(X8gH_E#$cYd
zmD^nbN~`0Y`2*bRb+iQq1?+|$thcV^<mWP}mza-yOMRwNuUp`GvYdXK-LPm$4UuGV
zQJ{OcZePO;68)}QFqo^^-cjzj9;3>Li;Z1iuub?thMeCqJ1s5kz8-r1!a`>(rf+>8
z>L{Eal-JaRWCIK2E<To;B@>Q6GFfiC%B65#`4VFN5^DK)m%MM(t={e8msZWMs5lue
z&~psAGX0oIqs)3BQz<z3bGgvbv@f3UX%8e3@4oLaW2lisAmR{R5SHF{Ep2Tv{7%g5
z<DVQlj4e_`gLDhYj^ov6LQ#)nHC1zfeFMIobpImXELyJ(7tA$>jA{M(nJQVL_<KH5
z`(mKH6)vhl*W<h)LS&k3;`v79rdr-hW#zO1QxA9dY?ZN#86S%_L|vZJ6SX|+qV1P@
zUe$SDax|g8bEl4Z9d%npxYu-1;RnZmK{Ogj6wcAfNK1R;68E@|Rgd9exP*E_tQ-qv
z$b(Sv7;^Zu==tB$a4woGXAiLq6(M?^!>9@qH^A;_YX+N;mV+Il)>!i5mJz2xQnU<o
zbTigGmX?;%W{*?lm+kr9K5ft~h{-Qg%gN2nt?@kLLk%)(z(s;S{}>-%Z8O(2Iy&0l
zuZR>!B410<&TTtOMlxT=#<sDy&&d=Ep&ZK7c52CtWPJI}W!Equ8`d?YA?m)8JbH~e
z{+uof7Zw)o?(Sk!kCj@<ii<Cem+wN3KXR{0NwKS<;CD11D+!W;<-itQ6%f!21)PF}
z1Rf5R2D}|<85kItnS*88^x2}NB4T1<!ovru-JGsq9(?FAE%y6h(w7!Q#=WsK-yRwo
znl2OnE-+AU0g|ToWz_t6A2g!!2cOeM70hfy15#MH)+oV+mY+X18t=W&<tsH19#Z9*
znQf;JP{VC~k->W?vC+}^kYyrwtj$>wJ<4?95)09<2L=ZG@Qc+t1zvvWG_0(w<mcf*
zSR?-fO?xmsc3K}$Qc`MN8~_?0_+@L?CPeRTZPoGkBYMzzE?)pw9j^|BYd>@!C3X*)
z7So4I+#|3l9|v$6E;0Yrh#cXq@cs4$ZuE}$=CG<<t^udZ9WZTgZ=bh4j$l$JryxS`
zF#J#9Zk-?s1Y7h>R60f1=VDW5WMshoBqt{aU&n?IVz5zpOhi2_B4V)C%WI+az_t3k
zSB%P_a6~0nV|gGeGUW+s;L^U|-$R`T77P2WYp_xvL!6(V!wV>5v|+q_%<!o(@x?7z
z^yR<$j)Q}v&o+|u*cad&d^CI!rtks*z}F464$e-d{+v6l4(80x>LOdxq+|IUR*Iar
zbyZYU#F|lsK@RVt^vK*KBI<}{50DWR6C*^Po}Mmr#jlnnq0U6=cTsmTV4zTWvN`)@
zp@gJl;kR!e!@{DYQQyF$zBos2d1a;7b|Z=32kt3%c3$3*-WicGMLD^Ao%+}B-r<m~
zPL<mQ;O`8mXj2He4>vu7tJIvIm=&mw|G<X`y?udqCcMsf6FJQW`+v(%2rDgiC;ox&
z7rV>BRi+`~Kr!{|NrjsDU4MrwhTCfL>x&dhd#29N@bJ{3RrOpCe`Nis8^mLT`qkLZ
z4M-gA#j;o#xw+@N-NGi?6J<8O_#YD!y-ts8)E=<0eR~ps%S4KaD7qv*9Y5(b<xy%j
z#0)^7Y;DaP*)mz}#-dfVw4_RU_$y47S*@t0_l0-w@$RDfS2l#mst#M}_FOa2ls_e@
zHOg7iva)!1ct!=PCH-E%*Gv0;{#4_L%w6r16$bQT!jNqYv!GsTY0<0Xe!ATZsNAaj
z0E)ckVdN4ZpdUY;^6?sWL_vx!(zu4`;kx7F<cb2~-SPa3OApP%<KsK^cks&H4mYTM
zyoSjIUF}bgww38MD(sg-#VAdRVdYXP>gY_D+02<|3z+=8H>Q5Dw`VT@wDV(h^mDB3
z?QI)7JF{e^{{H??5fQE~F4*X=U9~OFt%xBKG87YpJVsCTo%^hL;s7G;9-mgQghxaW
zARE4a_x1I~ras)9>hA2k8Q3T_4=L&M=g;r}-HF19%nkFli(T<!dD^vxq8JE^YXr{e
zMy$86sNqr9ds6~Z^a`4ESoMvJoHoWsn!>Py<>lnI8m_XiR-<_EVD+E#-&aYP&Cm8J
zAsYdkI51t`n)zOW$F0*C!)Z3@aX9ftOS8&(+bpj-O*yMkx1e4}E<<r4uWf#3eXKOL
zn~t9T-P^Y&o{ET`h&w)3cQJ9vc>tNf91^oG62c{>Uny&7NMUUs9&SQ(+KobJ!XR2&
zTjy6+y4j7Ed;K{F1S}yTL7I~>U<%k!<j&FQZufErV92ABlat@S*~3gsOtd|Z4J<4y
z?2u^QTo=&{7&-NkUenrS^;qu<d}Iq0Q^>=*ZXT2&uq><IXbD<R*F|c3nuL@gl5!qj
z@Ru!CKDUFl#YC^%zGc!J7vLSpmH;YGW68mxVzVJw_0~M({C-#nM9x)gfug%Zxtjd;
zOCR?6Y|G>DKP%EhwzsOL4QY-AXbWg%Vis}+YoS4VM55<O>%mFw`AJp~Cy<=o4|wtL
z(LNFlZ@mQu&T*mRwz?^d7<`peO*%snC`mwP@Kpr)W-MT0hzx9MSRYUi;`kggQ|`Vd
zPVQT7Yi}pZY3lD?w(qcO$<Zqu>8$dopzbI?^g3JBhOjBtQh<3_SU7;H(aROdtQiv)
zmNH<vPDlgAk@?<MPcWcTWXsw};o0eFwxXn@<nGoM6rjRzK8R{zhZUl}J4H2@ui!#H
zX_{Sr++kf)YBlA#*DJ=f;^yY|=V&ejz*7zh4bRPT4I!rujWl<_1F-7u`dDSXxpv!j
zrU8SD0l?i@Q+qZ<)?pX_CdXZ7Gx&%mTw;BI)YGY?6150Niy3%%qw#G|_Ld>QokojH
zZmHcur~zv-cA9kG?OYIMa-VAof&%tUQlJOD(rHuX`SXm!`{5GdF)?aR=Me7?WD~|4
zY<voT8guyJzkSMPIbH_q0pqT4=_`0}8ZH6O2_05NMa3;=0l>%AX`(3^nVGsV{s$%i
z-)c{Ht}4JOQHO*?=3y*w?PEX%-n)-(UGw{}zd95`!5@Jy|MF#qB0V<s{rmR;4KOn^
zFNCY)sKG7JhqVIARk1Q-B+jy1>@w%7oWC3p5c8B~q}=Yo*%R{7e8}x?*JnzcHYXPo
z+;WpuV0^m;nq!Ycjk^;BVPgG0Fl$zv9xo=M`P4B#^41&Z@5e_PcE+SC(qF!O8J3Ni
zAud8h5>VCp=v%@Ep6ADlw2V;^5u#YUu6qx|xP`v90;i7U%E7)`@}#k`u_FhEEjqiT
zB%*n)H?qQUolmFE8vt%sJU_Q<;tE4vmG1mNV<3sw!HAI~_AP`rpX=V&<KE{fy{yqy
z$mEvp?#<EStU2UmemA%hjII0G$$nn#`Dkwe)W|pJl%vHU46t$Ma7wGGk%qMje}${l
z_>?{q6%~aCie8P@c3n<|j49}LpxRHz!~|?wgSiyg)IOK|ix)4nv^F+3wKuW3!zGmD
z<UWLkzB+_bcq@`c`+P1$SXWOkx^;K4J8NKtMB6>ITu7LPX11_fNUuN@HwfTo++|o8
zLs74s;ro-Rl95+5x1fpug(xmlt9+4~nz~u@oB7S3;un^d%yxtEorXjG{rZN6T#D>G
zJUn;r&cR#(g~Ka)S7_9ot5N>#%a>nA+jDqDNr8dwklAcz1Q8r<6BB2(klX=2br}6j
z|4c6Ic^dCDiGA%_(a;Kt(#&I;8+xC8`EoDN`61w@7b&7647WhuV1YvWYdJlUlE+$S
zH5>5R>V(sjMZ81t?eA}{tJiv-eV~4lt&)|U{r>%X{ie@eaz@<=6mW81=3<Mn5{#?F
z9IqS@J(H}molr}~nu95B;yioy48yLsNBGZiH!#aUBU6sPz2!c#YCiMjpQ+cYf#rZo
zfx><KZ_rCxIyyeJ&r3y@GiSp!&WXPp76P|2%PSy5)VToa^X7uefJ~JyFDrXb&inHq
zwMcEfGnV@@8k)PiySerXRMf+b2?lz4*DcmdNoS;d_QuZ6Wyf(5x0-`*$IZWekboc9
z=%C%%-VV<e_|HFI4?mwlMQoYhNxQy@1_9KeaPsZjw*;4kXq4<^84u5Sos0_~nVFR}
z<+_?P-yX>xQUaBDbEGg`CY?R+bj+$YTKJa3d|P;ya*pYU1;RUklEB&fiZYa;{UL4c
zb?U7S?Poatx*+*Tt5+r_PBr*n?QFKaYzOEM2FPr=*d4MZmHXCX6qBYjOc4t?hd+$o
z`TH!Z>+2o>M|yhXR<A~chr`2$+#b&@D~rP4fhtm2R<`9_<*+)qzdkm^JOgvE{&*9Y
z-*s;Z;sa16L>tuapCG+l(KL~eXq#;ejP^NEBenZ>(h_=ifzC281{OKoQI6t2!NG=@
zgOFDMX2(9#6P@5gp#w;nGFTZoIcIP&et>rRtprH%SFe&~(!<2>3A*mx@iQ(S1u$b}
zWd+~_DGo#E=;#QrQqr6R!9xPe3D10Yp|hiVQ9A9Sz)byW{Qmv>wm68;%_nDvQ%nnh
z7PKlIb9&LwyM_PgCoqYfZ8uX%p}5q6#57g^X6+v#o7tynRqn?-Ku*>tDi0r%fmCJH
z)sruMC$fFnV3A2Wz3-*$bhJA4r1M-*QBe^{6GLuB=<HZsQIGWcO&x4)+1Mo*2J*Cp
zE7<XofGz<S<;Z8i!UNdj0TLbL;KGr$A#JaT7r(I)Jme6fAv?Rf(Y?M=R;UG{Z(uMY
zWRAD%KJ*~b-4^(lw5pq$T1-HI7+{mw{59aD){taYR#s>k$As3WYX1O@ceIKa@dAl@
zl3=qDAT%&Z%R|FUqnPnBPEctep`|fdqL2(wZ)q|gd79AoRKf}EXRF;0;$^s@j{Euf
zwY9YY8hTl1`25~SSdgYG{TbIe8-6)Fd2{V}DJ29x&dkhw{ra^hAU;4DY%{!1U%tFe
z{iD5Il971v*DsEBdRN+Wh|8+eop#6IJfZUPavvWbCcY?Rb8~Zd_bRoVu8xi>$UZ3{
zLU8vLu!8>i=btykw*f7s)Y1v;_bWgu?xo_Not^EVvT^;3F>fG23Hoz>SbJso8p8O=
zhdTZ&Ad!YW=Fw83SjXqTH)Z4b=GWKH+8FYtUvLDu?hmLC5)v-|0xE}1%}C53C|KRg
z{-7Un1PP1QIL$Wa8VnZ-eawgRu>^_U4VPfDq$^5cH|pxK`Lh1c_ZiTJ1bZ&ynwpyC
zYE~MiqS;k?%E$zV7i5f>JL>D-YZ?d$7>B%u%G-uqJL7iUoGv3MH7;C5>rrB%)szsQ
zyP*N<m@m+4CY6{5(0d4(?FJGSJAkQj>zM}MD|nWpMRbCK@%THC#<j|<XW*|xB~tg9
zJz<hXcik6ePobCsJyg%&a@{j_ZHp&;r2FGF##LJB7=43!Q4CB>+*_<kyiCJiZw|7#
z9hmcJ)T-qe;wEEbV=EIJT~Sh0EP_yl40QtuNd_1n@$K8k-CpNm_ziK1UTX!-32qzZ
zfg~)VPoHX3I<7-%X)H8HjI!U`>RN%6Ap87za@bgjg&q#n$cYMv-JKm$P+NSFc4!@M
z{Q)aN8iP>8!wadZ5(pAyw_A`>Q5g!R;AbQGdbr%ztXq`)CJuD=$tsud@NgzFZfbvj
zf4>i~>d)3or!1Ep_BST@xwr;vxW@qfEiNn&AaSl<owqHAe^HR-NkT=l=c5cc1Y$W-
zYEZ1^u|3;(e)c=?DUDmP3G1zmsah%uiktycue1Fj80MJ7`9e#OuVE#d6paEk1pQk-
zwV|D*R;qbm6QKK3nu13NZ{;NAEI6X|#Ep%Ofmn^0m#k9}Ho<D%bFB_)cC>?Px4gUz
za|c>GAQuNKtFHF;-!Mf$?pC2F-+%A`1?C`mxKB6|GpX61pSmE$MMaxFKMNEMCO;lA
zN{r`oc;~{&jyejVuq2~<0w9}m-wk5AG{pZprhIsK7!=-6@x7$(Cl)GEQxX7CjBo?)
zMz+t*&EZiBM1_Uf!NWpE2I8`iHw&mXSz8`r3A6yC!jW!)-D?(AkW=!i4@ebIdAoGV
zbL=!6&3hM#wwWE3g+g=lcg2FE@Jx|ZFC5QLkCojxV!}=!gq3sD9FBJk7W6Tw{j|)g
z?G|N_|J2qB+xa|6As{5o(<uLmv>9ytvdy#(=Y=am2gK3bZo19~_ztz7`=7JJw{PEq
zrk%q|N)^)VwixfE=E~Gr3g=nS1=ax4KB#nNzr_QjB=qjj=VoVj06gl?2s{2T1eKYW
zmv>>n5wek9Gj7^ABzx{jXJ7mV!@_jg#L1tvB?#5XsHmfU1=(K0klPmrBk}5LUTp#_
zBgs6?9Ob}9UD`-!1dPM9YH<4;Zf!ZQ=9GeLfJF_V4ZRD)>cxWSOOv1l+wCq$M@uOy
zD16s=QEM|NN*U6uTR_aBWj>!_+d(%1BBQ`g%iZe(p{@G!^Yb05#>C$W3*nZ!G$KER
zhR(oytE;gI2^$LwhEKSQv~S$F!JwSYV?B*vFNdfC>RYq-Q_`_KIDX`QQwUYw&?<{&
z#TU7Ud#)a!bT5_PMj-5fgpWZ9%+sulNK6!VTvG)M9v?pePan%|6%iSkr(W7MHC6ld
z>sP(zVA7zpq@*NRU`0s-rVwkOY<%fkj(V+?2Sjy!xFDror=_*^Rf4SBpYt<_vTv%{
zadB};Nq0b@gLmKsb7X9MJjJbBEpyw(GY~0I76Es|nAg<QNI^};Mf17C%{??Wrv8v<
zVSe7l)%D%e&!?yE&;fe;6nN~NQ0NythiWVL(B94tP>rpPjg6BN3t;zcXV8BD%4;wW
zegB?PRP?FS(9PAgZQhnRaDI6iv`RzPTLOZD;S%=)8*SllSy&c#kI{TYQhK+J-51I;
zfU4#l(#>{gBPAmkd7Za(TwPsNRc}SMGqJGX;o_qB(DUc5AMZ;-7cQ`I)|v;jCRln4
zULTZHRH%4uzW_QfcSVs~(B_Vhk1t)i#7Hbj8wM|Jc*vur7FJh5)q+t25vEK7r85QK
zQaB4}d3x4_gy1E1N4Dw%{(;ee1|mEOnom-Geotqo^g|+IV&aO53K)pbpJ@tII}8f}
zsXe0!Rb^zRqq~8HPVn{%JZ<-4Wkm%&5e{y^+`@wBRY(rxxXl9tN*Ri_<r)R5psX?D
zV;#ABT39fJGy}H;kaO+&_4U5=5GmS9`(*;^U)6_`3J-~(3j#xV^X5&sLDS+25DS}|
z)8X=IX-yLo@dr}Q&dxx<Xr-chmMCE^rLkZ}=)*J1%2c7(RohUg<#m4iAS{pe!2`$=
zWs`hB<RKPbc`gEzgMkI^U{Ih64+?jcH}w1H=u>#ONwFFg6&3usg2LSDsyax3%2~i*
zq1OPV{PgS$9v5aB4Gj(c`ANb+M<+=lRsJE-<HwIdrGy!W9$t~0g2EGF8_3>3sk3u(
zm>3za;o=UO7DGfsbyv$Nsj3<W2mmp#@5&rGmZ6aT;ll^uSnRd!&aSQmNFp46rtYtx
z7r&Ajf7A}N=j7-}y<c=2l-Ua}06;QKOiXBm_#<Z)7gf~N)h}{zM&I%^%*&DOD9T&-
zAWyYG7cdXp7z`fp7Eo}wYncz*!Wn@57_~uF*$0f-DZB;>qr1@5>Gv)oScxDwOwZ1O
zM7FuU-nsS@D7XM+-j^?cSOPl@+4&RX9s=Yh=P;H_xoog%Uja$;t0Miv>;QD3?n_2Q
zU4br3-P|^u2*xZb<mT>MkdO`E^coI63>60k&Tc-OFUmhijOj~FN0;&W^DO8Cejk9<
zv%LKF<1}e;Zcfj0uf4k)5|vJ{=f=i{Zo%;B(gWf^=vuva0kiv2{2mOlZh`7UB3NG_
zV=_m!llQ<9hLHXZ#HG^7YU~NBUPcN2I-K&_>`TYn?VwjT=7@n?1?`I!@20TJ&ac|@
zeU@FTOKBogXljrpws&{uc8~XK=!ArX7>NT%U}dASE#v^qD_7L<XqlL#vj%X`(I`Vy
zV5EU>v)%%%Q(`gZ2;jMbKmAzcV`D68(B|jw<70tdo}T`|u4;d8@7L}zv0H}7ou#3?
zDep^{-90=m6eee&#<jmU_yc{KA1*|(!wm_aAEkh#8l61^l~~JdopX2UpDVcJ!yrd2
zEg2*K(O?D|cLd_zQWk^*NdE(?`yKv+5~*w~EFs5AGU<KLZ3o=?BE1i!TyzYK8^|Ix
z3&>4cc}BTNoNL!0zT$aoW&wpc@WlrP2Fj!Z<K>Ib{rYvOa<j$_bX$vYhLvZv*P~;r
zaH)heG&IKBypYfagE3z9LV_{{1fpD{%dk*TKw#-mZ=#l*=I&kK3Z1fktin!?z!o9w
z9uh@-`t&6&4N8Ari14|yT}3ddkULLex3JADI=c&yKOnWP>WNx;vY>@zXX|%yz_*!S
ze)}>RUuCKN=n5(~t*o@!L(j_5!6E0jQ)IYsDG?3^6f(Y`PDAd!Mdc7mLDCZ~OoZEG
zDBh^pPZ7g&ayo=6;kYq=48TK1T>R)l)Pg0Smy;uCx9}bmncQ4QC#NA}4%6Zo;_>nE
zBDEZe)Xy03bk$ngN=o-b#UXYS?)WJxE5B>hB@S#P8a8))_RL@Wp6)jdHGCX@cOmTz
z#h<T5?%-pgLqdbxh)n)K_s`SM-@dUyUx+v``t?(q7bqzrvQ?m5BR4iSR)cxbng<qf
zkw`69N3Adx^#aC1rn8fiQ>uLHjP*SNY{FY1%_yjZL?TN71%s{xL{e6^8^9t=p^KZF
zFm!|=2JIF)whs<!fMUU1#X>6v26<=|`gVZK^mKKj_{pMcGhz8d#sVc)I75+?nAmaW
zS1Xm*X(+z!T+{VrIcErv@o|m78YmVE@lAgElO{!Z9sJVw2<V7#c4e~0R5&!bHyL(i
zARRAYoTN%lVWi5_5eJrQY=AZiH%KcJ*K+Nn7}l%85o9v!qem}N<p%}_p)M&aDVcDP
zvasZ}wMoRwEN*OQDJeD1Sfiu)0RIBP26$=zl2QhsFewX*by$D^*R$j^NCnR(lb>9H
zd%bZ3&_m;1IWifgybhQ;SX*xalSi>IoqDtk#kSLRkn{uv1@~RgAUc5S@4E`x{bZ!2
zeN*1ma4MDvGf=Gsu?K>d10Mww<WOZrMdM;MSy@>_MS57bhP&|BO7u$7($|@wW+=j}
ztEluLCuHM51h%k%m9Vq7*Kf>09}co-Rz-zcdf(edT@sQ=F-n)GjKt6#mQ4K#{Vr68
z1BeOK)F8?$2WunW->Yc6ctK5s1ByTQg2LwVax41W@^Xf9R<!qkX>q*{sD(74582p$
z!f9m_h2%5rfz84@e0*woLuA)5g%YO#j>g52`y;9Gv49E#nudH2<SB?hU*wJsn{1k#
zvNA0M0GbahH}QJ{l(I0FuC9P)fCvJY2Gv+~ssl81*28N?`ubS@4S;fB-g{?T=4NN*
z;g1R4LZyBAGFp{!VfPrvzoD}e{3FoOT!;)6@;CuzX9O%jK7)gmRqh@^^risRd$<aH
z_~7q7^Q(ZG4RVzsMc%;ihw=qvp@8RP;Oq{!>mGC?0q=u0-Mz@}VC=;<W(z_HaCT1D
z>p8WxwTkrXKpCNd1!;26RdBcROJ(J6kkWEk#vn;&D2{?aHs$rl15|Fm4}kCB&Y-ja
zK_aWgSc=s>-(W=r=Pq|D=$c?XQY*Jj-T%6D<qL=m9r;@DW;MV{usf`7;FVBmE|ZUT
zccjZRN3y$tkOD_rrc%}y`3$*-rwg%Giu5<_COj1tKh^8#6sUsyke87Gy;uN`IhmQG
z<#vmJq@uVI!Rr9Iy+9S(CtqM_$|@>Q4mL){j_=>~U@-zs+1c4~1upO5;Q@s*A8rDk
zK#+$gs(H?0sz&hMJ^hvs)R?}>08c@8?O4_}^s02;p7p;<618a)FQcNQ^z16+11V^_
z7nYQiK!bVNnwA9Wb(SJMV1>1w<R>uT9zZyNzO4;Ef&p0Y@B&RdI=(sLi5!G*s=Nsd
z2Ef@Sce2R}2g!#-lQkavf`VtS&Iw;P>PCAp{iG@b<AeCU*==WF3DEdIJ{YrlAQN{B
z!fauo=@h%b^X#OotPF&#$ugVoI;`%;^O3J!y}B#<9@ZBCMUWEbY|8;R0ObbI0#8i}
za-))x5<o3eGc&jYW8;T*Mc7xb?rv`b0SC(xCnu+TMiJaPIj$IecrYoa#6u$5`}aYy
zW!roPcMZ+3D6`AZjP^&qdi>a@@lx}K7gF`OGSE?NLbwzpWKs%>ps_rJ8d1B?Ts+Dh
z2#0qN>nQ8LFA3}J?{%&8Z+0DKm-U*gQc%3^&1f;aZgQ|?-tuIz(@Wh;^QK<;)VnW(
z%xIbFwVDN!yngt~u8xJub$q&vw^ptdKhyrkU%}i*e{EtxUHkJquG64Ud(e7^eu{^l
zi}fF){Q(v()<0BO`QsllUIcNRHiVx`y^36rPkC_*cgnOVSbEaz7iQe$f`gZM!(9iO
z7<J=#9%RDy2$3*wEB@yu|4&_NJ&x~hJ$h|0ySZsKC%GOZlg{sPvIjk`G?{o*2Ar9x
zpSJ~+1L2Se@+L&^i<Dj-KGCmN{^LZ-e{OD`tw^65_6U;ii=gYrM{=Yb#yy}UG8sY+
zHZVjTO^uBxmnB38oZUv;xd%TE<>`ULSQ`*)wn~}H?gF@n>}+k-9#H1rKp8VoN09<x
zaB_A-DQj!%SFdKEKhMU_zATB-y8()Wv`=x1QuRO2*He?PnhmIxS-Zx4Yr5WkVYJu`
z)>=YTl=$Kr$PC!0PcR~TE>0}63SACR9Z~97qL4>bb@j1(O=6<9zW%Q&mt7F!0S`U%
zsMew)BjblEm!HoH><SVuP&<^A2MTO)ad8gu0d$E}86%FbZ~5UvL1423Bmv<c-Ho!h
zJmcq!?;0A4RE`pGVPmh|K%j_tATiU*U{0*uLkOzxpXd~VDFsL6obg5_h5wxHvecgH
zCR7t5(b4Kb=IL03Z0L{NzH^4obkzuY1#l#VgTu~kF#9D5vj%J8OK9#WD%yjJ3}CES
zjR_xXNfIUs<e<e|?OIDM;lBqp^()YQfCNHLw@h8K*jmZT^W3Vx0^!l|3u0F2Y)@eq
z$Ln-k%*N(Xy!&!$<ch^2kb7uapeVJzgTp?Gc2e-|LC9K-m-T+OC3MY5?p>~MSZ!L|
zUB=%768DfuZA#x*`d?22B4?&4hz!+_YnjX`bKPHo9s|>kyd6j~0C=TjWlI&j9j5_S
z3o)O8HpeLAy*XAI5&@>bbm>^-(i^GrycVMzG1alZp~YQuG<$WI_h3C03exVC79cRu
ze-hAe|2k5@L>4EL4$||R<NaY|@)oFXBVe?FrSWGs@z37sQ1|C^=%Yx6sS*e7L(T=#
zr41?>*mjfC{oC8xpy4!tv&{l#A;1Jy)%y|09i@}5W+As1ejb7X+JjQfuHaFA3B&Y#
z1u4UR2ZW&<Zb2w9${C8#C)9wvce1|<pxF3)1(eEpTV90{H<p)ilZnD!HB6F^v+6J0
z6JVs9J=mPG@{Aa6Ze9eX2l@y}c0wTL0Q6)Yic0<g>RgpeSWN}EjsT-Z(H*V~NZupp
z6*xXU-i3A)DhdLdgi)#d$s6nP@ou5t@4Lu_+?^*D>+s09z*^!7y&*$dz$cG9PVCd%
z0SJJir&gG}x`<5;jwNB+Us$o7w0?}x_@Djp7ILqS7R25Ov=Km0ky@LOgsO1{lE|_?
z^e?BJ=dLsCC-46!j}(>p`JwN&LS2tC+I$Zkf}iN;P!|?hz-QIt{*%T+$o(jP0<Aaz
zgu(cT5OQ9cu-2$=$NRgG!y$E>ef0<4lh`_mO-+uw2(ioV1=^&S0gmHZDyYYuVDiAF
zxkW@oL`Ag;#m?Y{vBzI06C$Z`0=lX0;H60{()t6pw-5$JU?HXQ_sL02tt+5Nw?-2Z
z5Pj{PoQ&G|;x~S8)*7|JYA*^7@7rV~ZlC?;64?6w{k1fmJT0{X-A3qJ08nGUO-}9(
z!Z@lus7OVQ@vo(?s0>isZYwNy)x11KdJC(#Ny76F(Eb6pAx*qKWvVAAdf?47#0_k8
zo$)6jRT~G&-@O>y4M>FGt)C1)JXZgO!;i{YU>)bG-b%nHprrH!cm+9RO#O|rFUkOe
zisVKYXXhwcu=QO*M;}&A>@-x*TLa5y$JUx<{c8;SvLi4@CGy%eo#GtyrieMgttJ~l
z1r<$s)I9@W)WG0=yuE{i0Z!*yD$F8?PY_r=yx#-xz>Ryjv-9mIE)PD+xdn%@4fI@i
z+zuGyrNqUf_?>dYPheJxYU*{$?3d+J9;~Zh3T*sVVCd|81UVQ~_(rJ>Fu8&AW^Z7m
z&`AB|pbjepNc}19F$kW!IH2lCCG%E8?%50RI{ki{;fZo}R=aU0kR7uAH4CAZdzw_V
zu28vdBTnG&QfzAIWdAfRmO6%RTGB40*T%WduYg-*h0g#k_UG1f{Ua0=^g>nDIQ84{
z?k~sn(Pv_ppz_;moV>|aD}FZ_nme=#rQG6t1(-<}QOvj`D2wp8+})Fq3~vz<`mUW(
z2e6|YPpFG0fCUjMPVa-(n<ON7w^(&x3VboI1N;~n83FMVT98Uv105oJkmaCRgmPO%
zose-`c7Pd>-3YiER={^~aX{CH9~f@vT`}lgfI(f&h=I>>%~%K!C0~%}+~#JtZUM+I
zCR&|QTo!6NIy#=7Lex)FdV7xHyr2@CyaP|L==)nYZr%i!h_0?K*prsQllsr3@YFA@
z7&e18(9}A|IyySsS2EI9M883>RCHfOi2b!@AP`K!-)Gj~J3s!pVb8%IE^(6rb!b|7
zFh~9d6HgE+=ex<@6woIjB<z!z;krXZ)6m@=lHd$#qvkh#Yy~i|WIsdezOcjmhEP}I
z0QtoQ`41qm-Q(8Q)&&>-Vt5wU5Z5rbx46E|U}GVc{gMLpXVBQJ$J82I@M1uV-oRjj
zW)34+*K`8-Rv7vOP|kBy0BxBRH;3Et#3^Mdk7#*8pJ1=`;5|r3&>w!O-8L}5Nll$R
z8G0PSta$<nIHubL%MDu%_umpP!hns32R(}C5)$Bzg=%jO!k2+TYI=HlZS9}wdf(;{
zDyvZagY_|PCMG5*WssY|NdQV9bR)nyFf>#Ob_z(uU?E)t+ZE%-U&NfyoT;m;gS?WO
zmImr(yo^z*Etrt{GZYTj$HW$^j%EW(-urR8A8mn@XE~fd1J{A#tXtp=*%eB343CZO
zL>t~Kmd97?)xr1zM@~Sau5=6sK=9{WgP`8a3hpabml_SNg1RH^yzC<t&DN+ZCB&cw
zj+~e}Kn1&t-_=R*@$&)LK>Kw}{`j#Q9muv#F<Wx~sR#%rDBTQ20;c_6p$PJ^-m-T5
zPyN)91tGbrN+U=4!Gi}V<++R7E1z71F#j6Z#Pu%j2w{CKP%N8UAM~pdVQD5VE@iOk
zb^y@%1HgWG?S$nuB{Z6%*^Q#U0kQ#n8?^e`5#v8V;ta)Hm<FJP55_eogS7=Fvod*&
zqE2+!=kMv&`~m|dLDfKYM`4(tob>h1fPePia)v<2ApSiW%1ZlhszF)&E}Wupj{mX^
z#`%3*;i&s8u0l&YgAoprI)sjhScwgTTZJS|j$Vb`pIKAjy#r2=Ly?-Gf?SqakOQ9^
zo4<xayIM{#U0DpNy&a+Ik0(P)S}*h-1xVDYw-GrDlr&0|YXmn|EG_g8s)-s;A~orY
z2UP>ivghXS>jN)Tl1jFs5>8{yltm~Uon^kKYmxSNb~%X_ccq1h%QIHDAc%vqf|^6^
zgusKuSO<&~#FD*}zs)42!_A~OKZ&<k7)!1?Ud>V1eEkFygWbPB@R;~gk8}zdG9{G^
z+1n<}MD--w)pGrLpdns%jB)BY;U+B`Mn#ZAZ$fgmVy@HU6T0ab;xC&uC4*&8GP8o>
zMTIeLrqvMOlwE%&@5J(1ve%)vc*tULt2r#k>a~yup@L5NR`hG??jt%qj9bEMn5k{5
z>iX~F=2t8=_VJpd(Twa_0{Pz9EjRHB%ym7N(%dF-3Z0iMV!N-Ps%Usz_7c6x#nJ5Y
zn9*LtgIdxdJwDRYeaz_KTMl>{_909x+y}f9s|mM;g6P)XmA4T!g<LnlX_nDv^-m!?
ze<henpJOvZ8qc8cb?`QKP&b#Qnoam4ddlV_N0NuqVtQ0_W1R-KzxOQ#Y2IUCZ@Rsr
zCm^TY`Fr)ls>SH#-zODn*s`UooN27bZDGVLoE0W-ervO0%s&Xo87jIFYc>98k5u!C
zoj}PwH7h^L>r0h?hF%Tsnau7mhSWI-YZu|3*^k*?J6>hTkTKXzTWJ!-qaYe8x%}zb
zJqPZbjfxe@vXv&QbLmmzj-U<tJ?R1hUJI|&In8LK`>aKp2!EJzT2@-M;$d}?q{Fhg
zK%0R<Bqyop1o!Kx^_z+lh!xMr#;a?W+ZXW+ai*xMT8Ym0-G$Tg*9!ZH!?pie=_G1X
zYQhzE=ctC+xL(Z65U5Z@!Qi&w>lq;LSwoPPznc?UQe>UwRmL=6PU5*7;X!8ZmMvgJ
z8IqK4&!=f?yJJ;*hHB33?d?I^0@NlSk!cXTYQ6rTjKyFC>|W$&MWVc@sH4Xo8u#)U
zpJbZATM4Z+)&yFz|0P{Q|ChEP5a22KAL&v;g*9f){zIa7&>|j5r2}=Tvgj{+LJ+$i
ztfB0i)6>%p4GoYa!4mW{5^CC%+h#RXJidFZ_qKA3z~BfaG+$BygrKF<0Y?**2@<$Q
z!76Sn+7>=&6Cg=wg3bqNa=8O^H<?5s!AIM9KEi-#L(ps1!&>$IJ^<?8agLZ%6Z{Hl
zq1)5HoAvN8eCw_EmU^S2qQE5vVz7#$BIrcmUxe0&Gh7(e1r2Ou%Y&{12t#l_*v@ne
zHw(UADyl>fx=_X<Pe58Ri8jN=z<fY@E{QVn6c(Vq2kIFYmm`?j?7LuR3Ov4rmRNcp
z20A(s2?={x7_GD}!9vC5HQ1ej%JD!!pyNsKRv)+_D#x?FLRQZR8nd8GDh``gBv|OM
zfdS-$6uVCnsmNsO7K2{#Y4tJio%+6h9W#YX;s1BfUfd{HJdHYI3~b6Rp~$~@(F?w?
z&ne(CEEd@sdh#4n`2lzdG;2L4s-VY#I$)n5Bw8>-FtX`4qkIj*up=RcbgobZx~SXm
zfH5l2ixxIMkil~Kuk@=apbKO{Dn8gJko*J|+5yliCVKAVNK(@HTqt}X|AK)n>|X-*
zi}>~9HPqZ85abL060kGFG05JaosZM7a7HF12-*H>fu;I}zDNi<O1n18PV1ve>c2~`
zsBipVqhK+>P+@{Pykt%OJKcNN*(|sv$`@}5EnC=3(gkQ3TI;8<U|a;WKstmG0PVDM
zRrvQ>A;(*2Z-F%E4n8~B-2q(To9(<rv6?g%9RouwFbq(>)cDS!ipfN?&4Ut{=y7m6
z{us9IMNd5e6P+y9%Y2<n)x$MqWk+xUz@A35*D=3Cr^V#VDAA*2at|aj*cfL$Ewb?D
z_1`Z235uJ6qPRRi|4c0@l2K+8+@7_)&rpWTzXR4hT<cYP{8ATI-IV8VCK{U8T`02*
zz_&6Dy;;ENPSA-yS%GadLgz<%Y2#TcETQ5>padK4{7(s*#xA-iSbiK5FAGC=3B;{l
zs=F}Tj|q=JVT8VIZ_IT~VOgx(&_DrnIc&~Ftq;u#a19ASPhwYINofG=LHS^c*WJ`Q
z0doxSOo<0zYx~_qW~G`j_4z~HPznHq^uCemm(^NU&4aZ2?33b&eZ9VP_WQsKN)4J4
zW85_~qZ+C|<D~WE6_O~(nG{J;mnt?Am66Y#5rxLTFSYw(NSgTiA;;O%6$?|joJR*C
zu{}InPjb4-98zyK@vEN-zF#N$lo8#~lTbsfZqrO;`cK}EGUrsAZCj<BXZ*aWUV`DF
zqR1?4&G-CvCN7)`4;k48y*L`mCa-e8i)#2(A0LH$dS%Y{jL$WI9b;7G#^a{MGo1G8
zQpuGe+xY~8ow0Q2SITd5*AA8)7pv)YD}Ey5ermizqoUA3Gist%{fu8DcUx1uR^4=5
zp5?|dfAMHpt0teDYSpJ$t7}3$Jp;No{qS=JZSmZTV(}DOI@r#aR_6`YEQE#U_&=YS
z_3aUp(L|C>ja&*rCm8F=EetKCOOWrYIF+h=H`qT=6maz_gS0v|Tebc;!%~+B){SVx
zpH4aBMSVX9dWoIWocsopL*+OSxfy{)#ZALB4g67PUyD>Rf(ASL6N|bnjCf)U8Oz8n
z=T^kE6aAP7s;t(^_@?@9U2j})CwR&L=Te$1hf0SL&V7<y@ymN@ZOA^i<UETl@0Xsk
zmf7Z`d<iBui<O#IdrlK9j7?IuLtxgpr4j=}&)!#R<Sys;<OOa|JI>k)DOlTa=05yk
zZ!WM`xxG7iw{C}!n`3-f)2Mrqiy-Lj!#^r|K4uy>W@0z|^~hrP7oxgY%5QNC_c!;e
z6sJ)<SFp&uYk0o-@X<ghS;&Ww-zTTVx)jx(n~BN|4F6O%5LIDz>EP`3^gi^6*?!LZ
z%xIHat9-`kkB=&4*Gf`iylr1^I27%)UOc^t)TMxm@jZ%UWiuxFUFV3yn?D_TQ#cwq
z$wXp3<CY(Z<#378L}oGS7Ve1la4m<z{x@g$q$@Z|@r}#dLCo`u3?*N~B8|o)mu%j=
zd0hEuNHM@{cX*m3vqH0Z-j<Q;l{?kkHtYVoj?dq!x@^LmL`wZV9e(mWsQ@G9XLS;N
z*I0TfF>_K(53>&KRBfY|BL-6S?O_|N5v3(RJ=4^sYu~t{!-IcLw;_8XU?=6kSj!jS
z#7&v4Z_rdaO>{=^$iiWQ#kGQAaNTs2ZT(6`VK3SlP6|J^CdpZYyb77{jlI}WckNVu
z-U<JXn#iEd7ZbIrb)sOzS_m^6%zo58c^l&M%RJ~>(X~a^GsxXm*b*8OLx4o3*Pqy@
zmtDZbv|PRlRJ=w1o3}S&=WuoLdqcyU>tus+S5cnCu|2`|8S6>6O~IHtLZs)}z6z~R
zsU8bZ6^q`_&oF%--NnMec?bJxZEQ^R71Uwhf+S?4bx4BC{Q6GzzffB)fzU5nPSscl
z9fLTgmgluP$h7->^}8PIt4wM2DfR=%e-7I}fDZWK$IBdoU9uK-$N7CIE8|gXZd-OD
z4&;Q?xXVi%1`JxNUaPtYIJ)Z!C>0=yKzj}(5p|QCRBE46kQQ(H*54s`yLMjqPClc5
zb)Ov9@(870cspM2_DKgPVaEe#Ip|aig`JJoZXT%r#|t3N9Laq@jrcBcptk$=GrrMr
zIO&wjVm$cN3=K(H&Y_*bQniJA5(vh)-DCG%Uf9-06RN08%0iIwl~pTv^i&Jf0+44{
zz#T8P=ob+1;QoE+*tH%+sG|`ao#bd%I>LY*SfKpPEG$-#I`=X|Xvx_0TYg27b6Nit
z>xcaVnx{5s=%Lx4OJABQ6x&&%H8S?QenZO~v^~Zo>{BS^-QYJm+In@e0@_E8ehc^}
zQhK8nx1b?wxao(lqB7@U_dnBEj6_@P7y&(Xo??b9{3}6EuYrfw=3wn5U-X9$tl)-W
z*oWCS_5ch7Hz+DQT8c&-XrR}*wY3GBP9pfrqQ{{@3=_7L1y!NsTQ*2C)-$h<DRvf8
zdI*uoCr_f0cCH!F4X65Z6mYC?26oUIP;tcsxw~NR>=lrfci{G8`d;g8R$eR(L}e74
z!MkIJQLs7P;<eRxb}n;?2ly65&inE9Kj)ynpnSto#~^2dn~jXi{Og#xi_0<WjoSSw
z$x__)+&Ov6>WMJ;Y1A^Rpt{A>fh|5zNL!O8w8v(d?3?L8CWtQVDjci(Cjh!)Yfk{V
zu=~><%7b?fd}FZxS#p(8qihRW-B#zE{RgknCoch9_#$t@PF8Nhb&nr)o8E-=cGDRE
z>?%Og*?VpaBI{+$Yf-#*3t)K#!w<NDb#-S!dm1q14674+_6)Tn2j!7j0sZ+A1A`g#
z2EkZFj++hv$i%b`UUsoy@)ubHup8AlK4%GhR>!{pa&eFbfh{huap&+b-Gx&Rc3FVa
z1>8n{_$U+uW}zRt?Tf~$;;_%=k?vDPMWVn)*thdsMkb8~TBNRj+{4^V+CI@Oj8ux>
zYx^HG8e@!q6-orT@BfDy4b#l4a)Kny<P^q>H7~+H1aJ?0FPAQ34yytQIY*(MiOSM_
zQ*e>w9F*DO1{9hO(2uQlgDJc`$r}e7`!=WPr~On7O-(`qf|Y7I9ayVigH1b*3&@XL
zLo=FImwo#5sg@Qc^_R>xT$S3z{&K(blI%FT@m6jj&c~}p<ZlX!8jiM(f3}eZ^3n$l
zs($T#*}uHP@Tert%Di0JNC&4ptvDcR<tt}X<Ak3;pwg!-vuNbw=oq>!o+j;JiT2Fs
z*FFAbu5S(0A`|Gw8BWK#b($=ytWN!Zb`CUtu4(E2B-c{xoKZDiR&n)qYE#?kMp}-t
zy1AaK&$cUNxJlo*KXp@(k~W8O?m+B9e~hx}xH}8W4TTTwN=<ST@8`6f-EME*kdKbY
z3{-ZsW4BC-G?B^8cp`Drv~M)Xie^1%2S;zqbCPCsAw2e3+VJ~J8fEGYM6Z3vqmi#d
zx5Xs9sOI)1mk-}}4{Ys*siMDp<r-+W+eS8ufAvOkQ{uDbbHn(yB9kILU*GX4wDsLf
z)n`!+y;FsZD?O7bnoqHMO&y2_B<5G%pjkT<3MBRIzmwvRN?cYD8JpQ2CcY$B6tGN*
zB>S?iQLfe_CqS%9NW-)sjv4T>BU$C)Hw~#LCALBSGBasLpDO~-Yw(x1#KnEh=A&zP
zOr@*U%v`yjrLA)clDDLkbdfQ!`6vHWt?Bpn(PXMkcXQ&{DA=Hx3%;=eed5>52~s|k
z@k=*!MwjFQ+xEU6Rc3U%XvBIAIdX3}7YSoeag<0GFCQ_odIlGf	Kt=R6YNuJ>ri
z97#Kruv+0LD6oCCuI=^HB``>~Z2n~svs0kWQ|<i&yCzl(PhCQ{HpR4_oUY()l9R4M
ziwKoP*}w`bz6qD??AgsSjk$LfQIoo^s!3EduGge$%>-H^Bgya-H2KIPKU?t$diSMp
z7#!4dQ;siP`cNVzod3&8?B-mJnkApW&*6Rt+#`ot+Vf2F%qK%*sf7U<2JLvb-Fw9S
zF_WM06-W#W>7p9$hM=?gXEV-~8hu#KPmDA=jrBQLoU+s_e)mS~Zl0Td$_tCPm90co
z)r?d2H_qDY?TOA-Eq<;r;p{QI_uP;2e{~Ypq`0-qSrc9)+d=Y0kZQ1V=gyPERI<`{
zObb1=%tdN*GqYL+jX&?rWNzcJs`P<4(3Da?Kt8v<SoeI6vtlpybAHcG&(q5(R`=H#
zPArg%=+QO(OQq~*Y&geee+tIgmnS!kaC|*YJ8BP?Hy-1Cv=1JcqU4OAxP(U|ARqw#
zF*-UrE-uj73W2ABx|xuW046wScT);`Rz3ST0@g2(%E8|c#`}0-FW7pkq^u0~FKz89
z@Hbp1=Rs{vhwba%#6PO{LmLzA^5s&CG1wwaAKC7}XXdpAR&$wnz5#dVP1s}98xgwo
z29L^fe`Nsns*npfLyJ>|kr?kbn?4j)z&Y9K$JA@73wCL$@tTl~p;(~y9xZK(T+|th
zTUQS2hG45d*w{f8y+^hRTOraDTr(%f3RfLKlccTM6M+r@DBMJ346xg*ox=xqp`w1Y
zA?PY5I=VUN#Gs6pD0=p2wRLtD7o??36Pygf4<S6IQJ3YsxCWv~2{s}p&x4Tc0Kehj
zQ_piF&c_LnD(?bf<wDUN;y~<z{g;7%zl)pRYYa9SXpMj*1D)UHQz-E~tn`bo(QA|*
z9Xhy!LuLWb%^aLNCo3yCjyM-02V&Zak+NX&1N;`s*f~cr{LD;6NFR98y%ZJueKCfD
zseP=JLIe*~;etx^?c27LpYrnZG-oebIL034v0{VhVlV&qN@{FpQ~X4U?Fl;M-19(|
zntVN9m_1rQut<&;NN2*<bEtd8k_uv*L?fxF-y4CFIQVOJ7K|v7u)RJ<wSWeG51@C3
zhcI1sIwd6~gi088fk1bBZIbryw-w+=7aXnF>FHM<#}*G^9b3HVd$8qNoq+!hI+~At
zF-KDCp`C0CEz8i*2w9cCxDjD}2hMjJ{Fl(_h|`SWbKbi1D2VHCC*HBS34R(O=1b7M
zt#vt{Z!vUxSk`(tk%hmc>ZN}e;S}=;DztRw>ENW|a4KM7+Zy3;Z;);tbhj(8`9Em#
zWAp!|-ZZx6k2dEipF4PKjE+6GI_b+hx;>n2T^wH9IeZVAKAZBSjxu@50E-(@YMN$o
zDFd-MP1pAv9SVkj^_%%eREzvm8!~)LJ^WD#LmJc0Zn&!AV9X$auIuyDA&K|*m4Y6j
zdErqjl&L7T5=k(ay?;DNI);6~UJ{m&ny*R{Vl+OSpWBph>~+v3Ak?;U^2h08^gZ_H
zw5?Jt`u_L)TGGBT1d0%;h~WEJzSGrKv#?k#t<}~1{54hkS(Zg=$>=-PRBiN}vi^6C
z_giSP@Uhh4=M4xxVn;t`dv5r#Lu%*uT!I@xVz!95s?cU+9!c|Jc{?xcY}~M8?{27}
zm-Ek~3`@#Lh!dZi?GNiSCnj{r{KS3xy8N^a-FDB>Xtv^T-!HSgs255cOP4ugqB^Nb
z&j@pVsaBH~p9K`>X^P9e=(m&CYe?0(-WO~YpkY%kjpOe>Ab+$^E<Z3A7>WEk^NDC7
zgy!=8q<rSoTI8Pyndl~q4Z0+sGKZ(RM5ZwWsUJ4qM>Iq&S$(y?d@~oDG_~UH6d$Q^
z+OYjts`U?#9HKXBjtcuR)%TWK7CUD+mhNwC%d=wseCT}oqCbhW*|N9T?XsL?kgHhQ
z<J7|gE9{?FOk~T+ip8qnmn;_9)+>#*;}=U*ZVH_Zk+}5l^<$eRKFFr_7R?-f+!-uE
z>$Ra^laTdoeE*4zM7`EyLMCb-fx71zZVg{OaM_c&>3vA)EUQFuXa$$?lkWP*KK-;H
zZlRE!79i)5O61OzvpcW&q=IO+@*3emN7N$@g^u-)rs<0N)70M*uJK(-u6#Q{Q%{sF
zI6x71J?h5u(3rcqT>+cH%f4Ual%)+yC{p7bgCrW`Hr!1^bvN3RgjcQJOGh*mKT-dk
zxvxd*ANAq8{B-utbFS+g=>{rH(E`lz1YPyBra{jt?M#+7YZKn^Hi(!6`999OYeZbu
zB>w6HuX?;`sm6)ozR1ewNl6mCdeeIpL7)1NXquxd@vKgy9!1AG*wL(>thYHi-q;Vn
z5T~5xw3k0Y&}EOQJ;Vs~Uy#|kBOj8d&S-k0%97~WPA{803)kxiUkwL8v)e&LZgli`
z*QmbInu}d!D4bKb?H_J85gOGs=KPiQTDLgHO@Je9j&OOb&gAmL4w}~z;-!Q{rNS`@
zwEp!s_)}Tgmg(u%+R|5v_3$$~Rpk1@Om4L1#UlrN2kcTVDW*M_jihm<h$fs)o-xKr
z<|%S}^PIZ1OuA1esG=w^Fo~|?68?SM0;9H56@`K~f5emP1zxuey(mcAqDDhlZ`A+i
zSIiJ6zBjuMWow1K%Dhf6jIK`(UHn`HD*b36rb&+Mo`H*w>U`@;UTL$FUIH#5trV+<
z%~`oI?3sYW+wOXT&z0$pI?Qv8?M2wg3C;{&u^=#;bvFEOmtel1?<1^o<Ss=0;}Eu<
zg40gRN`RAdUq6rgZ+eEE@&cG-M|SPMTEjNMWop;Eqh2W!7kKd_DyYlECF=bB84Uzt
zNdZmvkKShl!l(4F%Lny23HlMn`RfPiWokG9whXBsqI4n}W(4?jIY>E**JMhGuDPDv
zl~IdPQfQht?I))@<dm!@r+jK)8v8{~<0T75BK`LzC6Y<UbaIL7O~i!s{$~LU6$4^e
z$=v<o^>fK2=jx2KouPR(yve-saxWhE-(zqnWjg%ChaA9*P&AWbzxT}4mF3~U!DOZd
z(`~mU)?#zk4^+d{0l~Z+#m+4n#X+P#R~|hQ(!g;!mZ2NgZTKRmiac3T(iX}~By-{s
zl((iYjs5PML89U-|M8sMbLnX~-!mNRuh#tL#Y0&XBVD&FQ%bp)90X!gDj#ktFpZh(
z&jmL;T<Mohr%n6$;Y^Rrf4=|K-7j)$cO<zt+ZVY;R&>Q)6Aib%<+4qpwq}c$=ORUG
zJ)OJR-+thMAzx;=c5B6;`!U_EAdV|kRpHtEiV~FPJHn~*`D0Ed@8iAn`1Vsbw-c46
zZ^T@#xO4Y8BZo_o*eBNpY0KW!CbPDpve?o6XKw<z9;dDg#=I`{Z&w`5T>0gw$(R~L
ztfFbOZhUl-uZa_EYCD&qmPq8x>=x7V^<&t){ILFK@>!EF4UYUbEltxJT&uaN+`2N-
zLgle=?O%vdUIl@v6LYBr?|~+VJo$^uIhQ#MNUJ!S+s%wyKBi<m4yNj*HEWEmkhfCR
z2qY33ewtHoJX^70el^uoy}4rdv5{JpQ0I;K$8JIO2KM9A%YV=#iKHq2k$aSZ*Z(}Z
z>J7O;f!w{_k3T$v1Mdl^H}@s|O8D~DiZej`l{@`2lY$g2rS#h~mY*FRNs4hr9%C4k
z#EM=|(G5~u6HYXe^ocag`xeiRxA^P3m~r)V_J8B-z2mXq|M*`ekx?ouGm%^h*?Xk2
z=VkAZY}tDxL?nB!?3IwcLnyLB_TIAhcHY-reShctasD{R<9^)tqr1zvE_}xO^?E&D
zXTgjzxpNB0!NOo0adU#9MVn}e2J_T}D9Wr%?=~+Eh7Bj)4f86Shcf4Kb%OMD?YbUe
z^i@6v{U2MVoiJpai$j-*_`YRh-E{WQrOsz|l*yo`w+dl&lL!xclJ$|nz_!!qranz1
zW`w=l^L^^LGfsPnkX$VWAFIC5g*4@v7j@F4j|CG1-|0`L2^f-Ma9`vhabu*7_!UBR
z@s2@8;W?Ufe|nV~zeOQ|;JD%)-^M$i;~u|`R&9D+gd9{ApAlq;jk@Q@@KLq>=7^zV
z*w(y!WI2XW&!zsSp9l_?Q%{ux`uUN{#F@8Af0OPLY-)#nWXQ_KDJT1hfi^knh3D1^
z^d3f9+F5fAZl{e8@&%v&YEfutoj1%UOG$7qQ-6iy8Oo=&mygQju8{qAnnIh@zc}F~
z)b+i+eFOvmP*K1)UkP5;H*erQ;E!+s9k3WfCAJRd;~^Hv>%5h&QvhxkDp3CMxJIp7
zDI6E=s%#6Y@kJhJmaV|3qj1O^9BkTDHIrX1>$G=y?6DOL+&9=UAB53BgEywwJCYQh
zamb+R>Uu^6VPaw?8=`nMsJHGU$hGe5usIW@78Py6_}z26gKLEHV@?haxCQ_&LHt0?
zDr%n_9iFi(5{W$9$r4I*=YwUg3xq9WR`&(!W|#s(Hn;B6rz|-ShZabDzF<5&Rp<Qc
zBSlLD%Q{5P*0&Eif!t-GS3e;Hz6BH>NyHz{fMfOp+AwI`JwAo76DU2Wz_9A9t&6@i
z_+=jf!;YN1JfQJ_k7q1;Eup)+dmM>k`k>xO!oTknc%GU8i3NNWBL3jBs=Y^c0B3%M
zwQ(xfl_CIcl-6pV!L!<T;;(pHq59==9TjT$0!Fs3&!OcGiHn4We?Hct!Nm=VgY6hF
zKEiQ5Q6&=OM;O~^U|ILdaGkC>)|=^mF=j6l!s<kG!~Dy%w2}ykj^2la>UN4BC0q`|
zdW`#kE0t&o?nrH=AsBewl;dZy7%qv4A@Od&CnV(1YxDsJ%+H@c1r?7^79b|$P(3E%
z4^GRi5{9GGGng|$^p*<@rnI!Qyu2=b*$UTy>4oA3JwW-W$8Fjf!SDqcCkT7OOcMf?
zaRYg$soPI+J-md<fl9Lj)2M~>j?PXZk%QAQPk9th3f{T{6B??ATHaFt8E3+jbm+ey
z%WAN2%%M046UXEGF3PPqk#d5EPq0E^q6dj`=dY^{;01L&okST@VJ<sIB=K`_aM6kz
za)-LkbA$y0c?0E^s*q&?i_utFVbc`w#o*0lCWs4^qZv>_b;_1&F2SbuR9N^G{xs@^
zN<Kd^>c~k*NI2{MV>dywB3*w0iLM(W=~-Fu<Q+jOg(nAdGI&wG^R3q?YHA**QJoq?
z;C(>H)gsy0U592}KL$ii1A`gRx={YTC0>Z}p*}4nBvrMneKP}^reXx$T|l!0Hw-{*
z93l95^%iS-WhD>HP+=a3q7i6TWM<OQ(9nQ+6mAzqt(5VQ#{`dW)07&Z9Kdq~annwS
zz8e`DerFtP#^c;r2%tJ$6axc|U~<7~0}LAtjf`4bT9Vw4C5T+=PyL;$3}!zcup?rE
zE+e>2$#M!KbzF?Pd)sN-@|O6VMR%{uKECZ+UH#UMlH*(IQbap>L3ZS8uFR*{s#nun
zH4=8KI!Sj9HQ5teL~n7pSMopa{JL|&?yHQLO}o~|w?j`j-;2NNBl&H)m6sXEZg_UG
z=7IP@c{4{NRfDa7mKbBv>6`fZG)X+c^quUvyw<z&?GmA+2JLwQq<OU_DmUCZo}1f5
zh%R6$h7d6HUk}dhWNZ~Rr6QMndnLMY@zHEhaD9GMqfFX#Mqxo=K)dT{M=D>y{UtKL
z?N6lizS@UZ5hUL9+T^^CEQTM@S!c2zb@Z7>OMJ^9pWY4I=7||<5^-WDjf)5&eeAiz
zs47S-Lb5aaQ{pjw%UP`bJ5tkhP8ylE)v0u0XGRV~&Y#cJABYA?s^X^AA0I{JHQ^Z|
zD;{{@+ow!#KjW_K$=1TBkbUW(cg<1G`zZaX@COy+JLUc_>dOjwQ>B6iqBeUzUhg5$
z7ID_eN-gmX&Tb_>^zT-@HI-RscSXg5Sn{#9nq0E)@!2KGi>2dF5QFdh(nIiB)UZWs
z6|uv6jn$l)FtOVBBWaeZlOA1|5O4VC*4eua&p9p`^HPpb^O3lKZJ`T?MEDVY&Rcz&
zh9@e=8rfpCo%x7S0+G#deapTb!qA_jUmjgJxft=O?rZhk;5T9D{WF{PIw#c|{c>6n
zdjvwoZQh^W+imLUUL~ATx!`crRTuZ#By)pQb>)Lwe^m>HX=!)f;o8fT$&U(Vl3|go
zYHv;b@@&gyqXYzRAPtN!8PI5;b63A=WR@RDkGpd>zwP|(m53c|C5^r8-Of~-969Gm
z#R>e#YID7;^oRD`j1t!wh&Ka%&_2ywywPWqdgQ5ds;J~Ln{GFUWm=goJ@U+G16$c9
zAXl2=5u3leF?MFr{M}$xtKj4pc`W`~4c`?DH0G7x5;r{Ipm%Hda-TVPpkj)Jl*56-
zv2ge*F;7GKCsDP#)!tgsFS9sT3CStb!xVh=eXyHFh3-n%>6>6>P0h2|-?xa@%vO};
zbK#&cH<e!@j1XZCPO}zrL6SL{b2J@Qh=@0F)|oD^h&vOOHX$1IGYi~;<dm;yVTmQ~
zg@w7tlgo@ns@QwR_C$FcUOl;06A!DW39Nz7Kw2O1b{w^Cg$1k*6sh`&^Z1FA7qGi7
z$S>h|RaNn3^&)%<)gAz>X1v(wTCxpqB1l=zV4sILUn#is%kxX0e-DG$Y@%#AxGn)7
zkQm(h^{aFe{~-`HULJ2B1LPqtIT=#=wJ>;U@HW{E4hYcr{QUdZw>QD9T?YHY{<!PQ
zsYc(0UwzxJ0?*|LPMdwM+yq;BZ_vbCPFB(lkwNpavtL*LTXSDY;T&3WR=TcJpC1j>
zvsXKQ2l*WA6nA|F!JiKHeHWQ#obYASBfKSePVhB%l@91syB|9Qw<@ZuAEMOne3gO$
zFtF@f0w*w!oBTcO4>-F6A$u02xR;~MOigF6ZN<jM*0>s>=1)eQ<kVjw(BLxidHcHg
zAM-8TDt2J0d`$oYqhr-@kF3hrwR&SyQ}F#wgM+}KUs=`H$44#y7rZ_%2MYn|czk*W
zuHR3eO?v4L=PThNQa!Q<K&{d4?%O^w0<I2z7%&H;^)WtfKYxmAnX--vSyLF7d2lk~
zQt<Zi+t|EZ`g;!IW}KCo5%JH?cDP2atzY7<I0jzyp}k*@)L$V-X<57b3yjj9y_qr)
z+=WD!h(AQTogKhJGgjugv#5Y5IX|prgy~>b-k~oR=Z3o^FvIYt!5tC|LHMDPV!+yA
zCN=-PVQGb2+G}OosP&&%KZo;!4?Z|P!TdTFRbTPe-ycRuTg1Bv#mo}shXBNe&s$$v
zc?dq4Esk9#;@VLLe*PMFXFRvSGf-u!=ra$S8k*bg>dhWDffH88ZL=9@B*o@gr<&w{
zPH<@MO{hRWM9_T>`U^bzC#rUYKyLxlKg=*eJf!g8djArcouA>T6W8%V@aHNc?&u3y
zS=oV!jA{ZngUCTBqn6`)eOo=P<@LXZ!Ww-DTLcRpW#j9^c?R{;c;?yaJOocJ3`URK
z>L7LK?~m1?URRm8zieW%bNUf}NbL{ezLaewZbL3C7Hqi%2zR~L(Sv`#Na0|5dU|j{
zTN)UEXGgpEh0I8FhHl%a!-xg)V5^;ZBsmfj96zG(KFC$c#&gP4t%3F?RvrW~wr`Dq
zUt3}HW!5VE8(%@&L0owAW&E_@WginGV<Hf6oSiF&%*PA$9uKT5Ri{_LS=A5NUp`J?
z?;W*t98m;4v>EhZAAHzFIbx-^J~ZpAml%iQPv@79A8j;U8{t~qKUOc($afsGkH*)B
z@hqH`SLH9jkH4DQ;Qg|Mg-N0#oXG2&ItX0jVQCR#^hBHtO~tr0MkJPTdi3)Ee3#+p
z&jPE^Cmu70;4?C8`uc`-tI53%HGQj*%i&b$;`QWJ?wncJ`5Q81`m?M2)V_3&jxKRT
z7-L_n)W^zUSnMar6yK$IPiH7A?SHbr{HVv=Lp(4s{fOZPawaE-C}0^)NWeg`pI-^P
z;IvQ7H}CB6>xOI&6=yjo)7g6TJ4;NrbvMuuqg<5=yUKKRQo<2O_}LPry~31C7MWxo
zH>6!7O=dBtGFkD8a-M(CEgc<=t10;!YV?GHXR2;$^tNxSu#}>iGiUzO(xq*N+Wv{H
zpM3^TJ1}SKLz_e;8%ASje81<Ur9bQI9U&(V%1LB6)c&=ewzn$VwjyP@l6x{mGb?9+
zh4-6kd?*XSw%5juFdveojxH^g$JSwX@B6AgH?`#=aO?OzFRL4Ukhvapv);IM9IK9Q
zv1vfUyrLMnY;a~&?_uJcBvz<<$o%^bQFMjhsgnpq#v`tH?+p3e_vA<w=1S}A#jt!v
zp|IC1Aup!a-24dWGQ$-xrNjlI0|IiI%#luKwJ$S5Sk#XtN&EuoCd*yrB=rWnNf0YS
z!r|;Zv3J@`Sv<<itX#91%LZPgrEvLOmhfu*y{hYIk@1iZ(H^_2q}ms<ZIOAA7n#L+
zS?*S((Sf*6?l`_E)mfznZ!DYx(w?nsN=1%;&+MtRzO*lXe)&>&Xy)ZA=_?%aTRR-#
zSNmnygY|>hi<jLarV}VhKj5QRTFZG!%8Nv(_I^E=z+}E+I=AYnQ2hAkM<hLc?wXgn
z2-aqcCF`mcWlp-PY6~UDXMP$}GZX)tH%hpqtCR>>v<8jYvmJ~@@?EmY^05QV*kAXE
zn^3D#6p4n}YUR=-n@;>T>tU}b@Mp~$Rp4a!=LHy$GqjNl2_(<08hSD_XPSOx&N4l6
z&grRz>s_*%Hm3f}F�B+;^cY9O~Hoy+e7pSvji{QIdMY4_&0TxhhM-=+sS$#vR|K
zwx`!DZ*`NU{BkRi!dBIiebjsyz;-PdL(W1|S}vKH@l*P@6Vsa=Pom?t_5yfi%*^Tb
z)nI4W{K0N@*KoF9go9VBLLOs-u!)|SFq?X?DA4V*n4FjC!w~ciQ`2HW5v=moES~nW
zDfUj9Z<WLSOfDl&oIamqeU5UmMi}ty@+hON+^4&{PgQ8fr~Dg-nO(iIq-JeMSG*-R
zWU>;H`W#|TR*p`6_R%5*1DV`qfw%bLn6f!n?$3FDM2@p)7&-|Tkjg>M&Z}a1ptt#H
zz?fzITGej|b6T>-qRbp{>)S0CT?m0dv`5DoP&_jL4L!5ngDWX5ZGOBb=-sdZ>l4ba
z0AqdF&^=&H5e*^*w#Ghe)#rQV^%f>3u&y7Bt$PfV1%lxY)bdT(rU9+sIq8MDR<qp+
z;UN%_W)~Jve+3a7Az<m%N3Q{fudA&Mq78%BJT|-`TeJfBVoFFC!S2#D1-z6mC=bgg
z?fBT(!|umpjQ5BI2mfaD(1cYXoes>b88A@59Sj8}^IO-bk8uL0!N~c;I`FVXL2z&r
zb?p>zMco@$UwR%7b$LLzybiAVWdaatIECBjw(a_jynX=s+5-({es=aFup*$CL3{Bg
zAtCH|rNCPPqfEX=DVPwHSKGf`^U&V;-}DbHaoUd8=toRwc(}ns637WTf){5WUQUG2
z*=F!PnK-zipPIlO2eMS`B)GubD1Om#G{@`-XpNC*NFWS>vlLE0wV<WJK?JgU-@bhV
zu?@CIurtVSt3v?F2N>6Gkb8v_6okxNA&1|!09Jq4;J|kf1LpxiR~)x>pIsvRYbq2@
zzF{@xhFO=HIS&VyADx|7ad82*z6)#p@C4~D#@79Pqc1?r)p6hLPl^Wc2KZwvk4HR+
zVUPj$aY*1~jQ}VW^(MgM)PNeV)PNI0=<vJTa2?-NjXwAw+RwM@PxDdKTzDg9v$wY|
zAGK-!kEk#P@d9x64o;AINl}<j@&P+JP)OB@5($!_JN2LU5GIrTJ!TG|a)`bChETK*
z{yw-@4WqToU?bhLfFu+<E9+K5-qlz57s(Djse=s|;#(sV8g{RGjO|L5>~;T~>(D-M
z=Q|cxj;(=dN3spIPp;6+qQ32rk?i#PjAn<%xuLDcPMVgQTE#p-Rlz?N{dbG!pS|dE
znex>(_Ww?2(U-DzEz1fE3!|c<Y_o9DjD&?f@BjI7;oq;;8kjeT88GEY(?gyoGWwFf
z3@32AdL)&iFcv>+k~*-|`V`5SlIAJrL<(vOPUhpjcZF}N(kHFrGbZtj=~7bF(}EHH
z`rqd^bH`^g<X5Z|`RrNJi<@bEUvjF7QwtzOu!};kJbz|gN`TaFWLLqW{?S5vL;AUb
z#9Pg@Fb;mTUL}cJwYsx$_x&Uq@WnlwSQjN8x_mde-f|mJVYZY(*X-NZ>{*Wp6Vbou
zOlK{ejeH=3U3t$e;*EEDh-!?SSR<yfl1z!VC?_XUx8+&hPx&l_xk^AJ_p-9yoEsP3
zc%L38@AR%s^One}Epc;X-|K$zJ1}@QdGaP*BRh)0fc1UI>oM7NT`aC}KfEIw1V3l{
zovP<u7Z{dy_ZDwnYr$vj=oL<~uB6u&VEDQB9LA5UDXcFzc8CZ~v?>^1WO$CVh-G1u
zNO=83MrRV0e;+Ffi=s~>Fg26VOb*U`H>Q)d)TsV+CRO#(H{WVQ{hxY>OC|DFnd+Ef
zDqcHLiS3y3;#>zyULQifh#*c5$`p_!@$%`iJ(IuK6-GT?P7|gpv&9av3MgZzxVZEh
zS>5Kz`bBo%cb;fVbMMOMwOoP%r1y)C>{-iH-=g>>GnON?tt=g}*Ro=Q#O!^knQzDW
z2|lEe;PfVky_U*Rl`B?!ZZY;0Z~42F3Qo`%-V%$p8OOS0HNopkJRMm$0}-1D!`By$
zDV<N#jX$!8CEi)*$X>SAYyEcV(XSv$$`*@dpGvdlY#PF+$F?g1h>0kHV-wjS^9T=~
zZ?TPc+VYy-gr(tLUX{C;peoh3BO#UcgNRIqC!9^XoLpr{;w4s}@f`AIkS(j6X<Fzn
zf5Ot?zJ`sDvr#;_2Yq`!NW@0^)t56jT`|-fqHLHGh#Hk=bltV-F?1J9Li~a)w9dL}
z<LWfnt}$1)4L<fm%sXQZ;%D{dUmsll#jczpqnKD^VDvUK?Xg(4nI<mYrbp!7t+mkh
zS^FgF5n2a^VneYag5hf!O-ntCO?X>2w|yS^g<m8unOGCZF){7%d~fQqd1zcS*rmgq
zvoqJJFXQ<Ad&El~+KONIG_g4ti!J%-`H869JfwU1n)0X%B*z^rXBBbFo8BAh776l2
z@FZLqb}&*X_U>4Cw7_`*ZGqr_zk%+OuP$_bLARotBy#!pi#K@@tsZ8Ng2^ud4PbOm
zxDVi(FA)m0sW<*S;)AELQ$;-o8ZilKL<vCBH43<y?yWvhE1dK)I=9*T4{wipY=u1P
zv=4wtLJ?dt&XqW`PdxDsFoqkEBK@-_bT3Q-^t=<xeDc`K>{I1DTmkvoMeEuMR{jkp
zL4?AeyzB7qYx{!nrFjphrfXrOP|v$H?R0#1$p(V3)K6?}<?34=pjIu|Ppj#z!0AW*
z1kBY#i+?3?w8<N@`XgV!T0a5{pWMq*)UK37%yj?0>uji)3lc~+>(U&ibDz1ZTty1<
zqC}8RIRvJ)MM&d~_#EjNRT!RVV?VlJiBP*qf7z|$5fbalM`c4Tq(3&N1hw!%#)i!1
zLqs~>2bzxM2noXXSE<=%Iuwu(FLhI?n8tlXTJ=2@r{?@g@4FKt%6sGbJ>PHmegv{r
zcLq<KY=dr)%?epx?<=VOPG5&perRu5NN`8``O57;)upZwYU>8gbgOii8%tE#;f>c`
zibua5klP&%5=2OoJQ<hz++xx;OZbz@5;@(J@zBCJn_#f$sjN4_`>4?Eg35OvKUsVb
zYeo%8Hkf!s--)NQ!bHDg)?W+J$9@-5hz8#W>4bJQNpFe{iz4~cThb-H#P$Yr#1U#u
z-(0KTE4J!T#m?Jt_$R@V?xKeD)}i{aq*RcUSga<U*uUj+8rLX-mCU=icfhVus@j!H
zx_?;W*|~kVXnW)B751JLLi<(HzWKpR$`ytFFFrB8c|*gW!0+~8Vkq`0spQxWM}SL!
zbrEB9qru5!9t__6FEVr9@hJ^CpN&!w)1~_G$wCDi?dkya_t~l@=bgd#c~QJ%oOWoX
z<WH%!b)FjHn%2Bypi{L-z5Sg}g%+du^M3BrnJUg+q6#T&JTLZqk>wG?9<-mm<SMda
zaee!OZZcaFSYsCueX%Ckd<hW|pDGf5!l`til=X)~t0A(`r%arh{*{ZlsfvLqefaAU
zF_Vy9R>e6gTHl|fZBm?U8Kj;#6bOfkO8$H7)FRdL!8B1bxn*TV+tU+z6{PAfG4<rc
z%o$v*_%~jW;+i@mFUno=PI{A*{tlVZG-RqVpr&z;Mn*5#&t^D60v#lpSK4Wm#Pc+`
zs{1bAvuB@6I?57~sLF`{jQPSA-5ZFnzq07W+Wn!nD72l8u0KLm=4Rm2YV)FtZVY#0
zMZTG5zWs4^;m3?kkJ{)%I8xuuqNn5WjZ<>4xxYPfuRP*WXsS_R?Md|&*GL(XuowM1
z-)QN&r%TV#WHcSP%bR``)pEuM2pF!X&_wKiY||!Z)XK9+kBq8fm$7yt$lfFsWS8u%
zNa0BO?&l)V{H0WKwX2LM%)~UssMl%K`TMieA<@nRew~$C3ckRMFM(LhdJi7f%$Di`
zw=>hBJ-j$zSi(PxX}FWLGm6}cvY(lX#{!plg!9s?x+(p59@#8Ktk9$+kGV+IBpE)4
z^a#L_6ha=ZI?W4E7y*t=6z#IJ4P_sKt8tp>6pq!uH9$5v&;p$~7BZykP}5axGDTc}
z0LRDsckbM&Vm{Ia6Dpi(>zJ@V>eTYm(=R?y`ln1;A^y*F0FF>-#0$(D3q0#^S_UXO
zjBtL$as1}$Vp?T%|MRI96+sih2>{~TbsEtGZfg-N7C5V+s=?fcjv*id?KD^7J5+RZ
z#&;W}F2EWV0U8r9h=AwDG%!@6sG{;qli}Yqf*4h=W3zwt2o7k+5x_G9k5JO7>Kb@|
zPsgJFibb!A^&$FEP_qR$0cpUzz}r6Imr4*3>gbr5KB*4#EUhj1W&V97CUL<Dgqq3O
z+HOlR*Y33Ip4}ij@W5pLS01#(_~whw*|h|+B=@}`P#xg2o-B$9Ex*)$h5x@}J(_VB
z1XIqSG>Qx4Jd~g$*9K#-|6gLv?^O#vCI%~<Q{OgSAw<;cA@T<p1p`lB7f524GP&GM
zYZl1@Egbof)MQaCT`hf5K8w6xE9NZ9q`Q~O<qfTvM8n$0kjDCQXZ9?uHA#dMzmh=D
zuLr(0jhFkk9tH7;rakJ7#wUbZ`~)J(U8g=XbzE45FOjkX(XwPG)j)JJGa~(xb#oyJ
zf?EqO_u%%SoXL`&jJI<u`E!le>grF%kDo+ZSIUOv3L^V|-xV5MwMTMC$n{f5vSg}o
zR4kz3VY-SIoVEN|eNI(kmK(1zhHS(fG7;$}sf;|l+)u~%Ts%&BX<mVd!x+0*XxC-e
zXr0V2fN4t9t#1C4l%z(hY9v=qx4o-d9H;gt(TtR>NFB1K)S#dv2bJPy#R@)<ge_%D
zQLy!Cw_+Z>D#u<{t}LM(Bk<!opaUMbv|RBsWem}<t&C?ElYaC(Gfh^Ln>jh@>(oKl
z{l4LLu}0-w6Cq7)%g+NkkIMVi8AWA?zkA=wcxb+e2C$*s=SC4nnc@xVY2hN$YN-Uv
zamMM=Ub8JSt`dGb+;O_-jV1(pL_bF!ceGtf3!O*Enc4;?CToi3N2)3g%wUR1rL@Sf
zEM+Ths~(;_yO1##;e*wGLzxSsXK?jCt*2;=c-QDO>Dqn;cIVTXYGfBls=l0zTWwvI
z=Vu{1pRoKKZ6f<}S)#aC{A1iSrLDcrjDr1)2~y5Fwl@wO)+J>0l4M3bBoK!oLDM;{
zIqwX@wsGaubWBGU07p!jfz~P){~+C-?{`Z?l<9=oZ{=Iw7!DNoO#-h(UMwJ92`Q-S
zsWZ;49oC8oGUP_9%BW?msj;~M!weO=ZneT_ZWfz10k?FKUK_G&8}bfEq?4RDM7pcS
z1{I8>bYjc}IHOW#sfre5<wx=8>;=yBL+nI@Q=_cc?((Id+D-O-edEMSRk0^)P|f{H
z9d9jSX5xlnAGryRQ5cdVa#*+jRbVjOPhb#T4ia&B{i%h9hDP}u4h{~A?hM5kVx(kb
z6j#L@9QFV{KMg+?N53i<nV6vJ#$lupII$>Z<Ne=3T;m5|p$A@?%RoZl<&%Gva%hu$
zC%XlnW3ZmU1(6cU5iD`|$lrre(a6XM^YUfEjW6hs8Uc)1#F*s-JPN#nkb)m9vyzdK
z0a*Yn^x$E{VXm=S?557@jRi>-f{uP~-hirZ3mHr3cRMOtxN)ie-!=Y-2)&GYfdkk&
z|BYLxq2UA%8+*Cz1SnK6=(Xb=1KA#xbrqz%c@qT(Y^Cz7S?yYfM;k-N(avrMLi#Z1
zeQ-_m=~G7a&(8re0%PnE@Oh$MBe=YebN<#xV_R^W0v2r9NGX?yV+*vX`C{>89sOOo
zm}ESTdXuZPKEdD}I25I**U13Zc@clUwTiUWwL}&YjbtMz%TO;hjl{ph#uo0l{sS;N
za8oXZh#h1HpP^4s4}NiMhL?N`ki)x$R*xTh<EMUFlcu~h46=WTNw15J2M{)*8J$jW
zdH=1iOlpv?6Qgn`fJp@Ofb687fVw;zzpw_USW6tx<<-~XUx1#g=OqzNmk+EJpv7dR
zY-U{I+@QEgLBZ(54apD4bjamR$GVgDOj%)3LuVC?8b-snRCV1;_hc0RK1C}Bz*3)1
z6W8O5oB#{ETq9o~2N;dazVP0Tnla_7tDYV&r2yq8S5<eZ;c}e;L|{W<2$Ars`X;z{
zcbllr<kwER-l1%wn&qGTe3PBHs*gqfeDnmr$@bNS`v4;=9RY5sT>bA))h=qybE#eT
zAwuJ*Sy2@yD9d8p{edZ<)cplz35LfKO4^4uj=hpxNX_C<Uqlam_xCF$rUmu_vB+~n
z!zH__t2ihG%T^z-bdJB#1jC*9#gUyEbdLZ9WMI|Lw<nqg?5S#(1u$Vx`Z8y8x*6<g
zSIu|uDRUN3LL&YEBo|cr=jrMsI+Hwsyf7;(YZcQE$4=nlFO-a5yi5xh2MiRI7piH>
zn^9D=@%erlgN$cb>GeU*aVN-b%*)~p1W(G*$qPQH{tlAL;ycNoYCzH#Scbf2iOJRF
ziAl1T_#Brm{~@<J-VIq8^O*hhBe}%PRx$C0ITNI*d<-6yxdN}^)N7lg_@^!+KB9+P
zroowpetBLU<u>(gCtC~*$*FN$>|teB%X-A)-bn`jQj4H8Qo;MFi$^2VxBg2j%|<+%
z;Kt12+6PX{^znO{*FqYjkK19Ao^kCZ0l`4`b>;g4Z<ThBmh^%Kv6g>7yE3LVYqDW7
zY<<7_O;(TirZAr=+4n0fI}6h9v8kT~wdNt}1>z%Wj$lwtp!!pa{0H4~=kL2?PPb#G
z7!um<yB;lL7L#(T#`mmT4F0KJU|GUOy2P02B0#ZuDE_$MMg^{_(W8>h`UYX5%9?x~
z<T8hYrHGXggEiw?=K{`}NO)(7;p3{giID*D`-Xi}G=#`P)xP`r-}*0SJS2YMyHBN3
zx?)e7pCDU4kEMuQMrIkm=+DKPb#N1`&!l*tt-`jTGhP~tr?XsD6UQoA6Z<o;`t6-I
za%t^tt+LodNA#aw_Z~C}mTSBt^{w{Jy5>4R(YD}1sBxJv!@RC;j4{pGcSkau^Mdr5
zU2YUkpoT7(Wh7&t_Z+OdDXOBE|MHl3!0AG$<~!W6`cc@Qk7)d`ntl528Gll*a&9S&
zUpRv;tu5!X3f$latwLnY8bjuKaWt!B=E0RR+}2-g9oHP_j+K)1yu7_I0|g3H(^`CQ
z-lQ*d9=GOQ72&dst!?FudpCSv_$r}pu)&)VBTc8vMah*kWf|@P2KmDaI)TmUh^C@e
z>VY_$k-N5?gBF^WLep2;YBSnuS8uX%^$Wh;Oqh$(+zn<eyDxoY+c?WwGfnn*CoXCz
zdEBA+=O|Ngk<o!4&96$1tL}*{)CT4^X&?99^@AXd4KoGrEv;_U1QRM8D3aQ~eanV6
zwfQ(R6d;892|)Du1p#s8-7vZ9a{k}%idWaSZy~;5cz=s`a_beIn{M~uAiYlvNRlw{
z<$VClcnXS41^;o+`|Dphy^!Q3qzfjWrIiRbHOLSLlXB#)S_90-xF;1->2<rmG|R^v
zG>;jBC)O7*gYs2=YdenZ0tFS|)-JGUqAV`Mj<cIiD-Nz;n^zyUQFx8#Ho*eZ%!!kE
zE{Y@+Y#io-jN#w=TK^qczo>r(<R`R*Byn5o!%lLIf8z`Egzx~G3id-_Ai!UtDC>ZO
zo!kE@0AMq~M}mrX+yJv>z-Ntt^8_+v0E~9vCP!^qu)o390+@9wm&KGbj^&g8%}>$L
zjNbQ~cC@us!83vNMdi;(m<byqVX#D^I{sh}1lJ18gq4q38ybdNAHRZA@wPvT;}6es
zUE(`P%I{-6Cn|saE!9JF5djV(aM4l0O2D6h2W?=<4t7jBT3S?I0fg+huEx8xv;g9o
z1MOP_=EShGff>h5Fu7S@LQXCjK&Y^*0VaM(_f5jWGjvZKd@{28KHLycgd4+n_!c;9
z4Ca#!6925E++2&egKxB)U`+0yEnF}F^<98pY!)zq1_~fwWfeR6l-~WrnZJk0jPcO6
z69)jYg`Vdg)nnsLTb%K$UwM@O`huX*<T5yJaG=8p0Ev#<j2UGK+@rl?f`1q7SAnm3
z&-fqw{game?A+Wb*o)j2Q~Xec1MH;0*_F*2f##HQLLvCpfO-#4^%5rLJvurji0#4F
zyoT<3q5GBYKdIbZ$`dBo;3NQ?BQC>P{rUd6j?2>BvkCBPK{#_CZW`?njhl}(a*=z4
zRt4+7PK#xEFd3Ju?FJBcMEpUi*wYtFqN9>{#O|--Sxlf$6NJqEXc5tvJxh;>;2uR<
zRo3QO`4eC>nC4LE7SBhp__La)M%F2<Z<mWtRpdsJ-emIKGQFl8e47K;#Xb!)lJH2F
zSN|&Bvh-nJ%tOR%RAu@z$Eu-|$F1Z@l2qxypws}mIeas<!pzO<Z$n8V+X5vt<-(Jt
zacFzV+gwMlhEp2-DoJ>b7b#-LO(-kpA96AHb?ak6DlYyveexcY%PY&9-f0<=mOCbG
z=IwkL3Ln2JF#G-%Z80Ihu}C|<f@z}9Ny<*N8G2n}Hg)O>`;jgscDG$?QR|r<qPNO$
zdafvOshj!*n?3K`vKP`yi7SLOx7VzdRvfIRqHOz5N;4B1MOLp<f8EeSPcJ+dt|Vye
z--zvaUZ+m6d8Fjy^t~M5HAoWIyOpQ%pY}SKntDyhJLo=_Pd?AjtZIKcW79lW##FKz
zLUxbVWVqg@P#K%wo7}!nuuJA@u!;btX8IQvbuEcUhS-@`=5k-AF1MkV{qpG^Rd4^K
zksE1@qo}=@E^m`tcaIaBdX!<7yQ}ZmE?4YxXTNxlF*XuiNg@l0X-qczY<{y;O*)Qd
z%%+rdU%~sEE4kMypQ(_T6ZR8&uV5>_{8;LA`=WVoZ3CtJA^q%{)|uZm2aXkz9XTKK
zedB(;TYbUQ^~BrjU4P!Cc3)?87Lt-Iet}L(gVwK#+H-hv=<3fEZbm(3Ile7m_(GY+
zwIect67hXqP=gvH9NA)75Z+iw&2GDD+C!f5i!@1$f9Xm5!L6)J{w}_(@V0w&-HlT!
zbhh<(Gniy<xnh{u__oC&il%azO9yi*m$Fs#GNZ^S?F1XIE?^k%Q?pLwlFsII)H=4y
z)j496W`3s1YP*hLXXa+ySgtvKXn)#d)|+0)82zg>)D-VXpGuq6I%#UIRFr3fwUlVR
ztw3py6Y(g2vaRZVq@alZ7O94q)83|}g<`Df@*Kg#<kbhi*qb+7HZr6FG>-1!rPOR!
zb1gZJ@hFC8JmdTs8QdjRH+_YbHt0r$PDg}wbdS?q(#Oz?!LF5UKbO$Io7B{$e^o50
zAj=7Cyph|P$1o#LJ<J>3PcZ-X_V9z#l{;_THCL<xaWLaMI6Y3BlDo=*5oU>lid5O`
zql(NSGnAQ;K>^)+5ZnYW>;cGY@d*iTT>|?Fu8|jR7kaI8prF`|jo@iTVVv~5;AkbN
z^4BkVn<Z8nWyJw6YH~ybt&bDvX4PX~_!2w8fQiIn0sJ!xen(F)juo1azz=I2)QCdB
z6xF)`A!@8^*VfTbFW^&HPSzhS=Ydsmua?0`6p;P+sc@I5CqzL+VJl#S)UKx~fGAO1
z5I8Cy>-<%8Ug5*XHimglma-un^*J~=MEr?$oF1)>-xW>UMD=jML<bgeI2P{DP@Pvq
z+hcsVSweOIEpM8Zl^Fn|(=FjKcu&s53PYH)Um{<jcek~*TnNsW4%9xfS!S+<(3=7g
z>L0vtjk%GUweS4r)Nkd{L)G;q`2v;uPAL8zAjv>#Elv@V(6-N?qo9}2f#;9MzsSZr
z_=Ss|{nDjNP-vR2OTeoQ@%>uZ=0Hl_DZi7|0k)k^C-izS-uMQer#SBZo$Qo66(r+>
zChNT{2;vn~E$70?`D5{d(FJZ|yAxbDVc{>fT>=BGxe2#m4}|(LsGg|tJA_6$Uwng>
zcReSp6E~T@3aR~B$*nHvm5%^c+ZP{fFKdOb_&v5}C8FC6Ipe!N1QvYaT@4a02%$bY
zzwq4Zg_hItc;Gu!Z{CnD)p$G8s{LOxFIrfe<WY-P$BW;EXjG2e<VIy)n3Hz@3w(5!
zlQ6xq5O)`F|HMrD<oHndZI3wB^^bYKm-dM-a7$gRV*YzuLW?FjNy%e#nkIZ@3m2fj
zd(DTt4<1NkQwC=>U35#3x@h&O5^YVp66#qT#!JNhc>#>Gb90yTf04tmryJ8HW7398
zBBdg1ZEy21E~D_6K62A}$zL_`bF+_RN=e^c;H%U6c9B~mNN{)jDE-32B6`F_XEqPg
zVQH44E(kG~es?Wv+3SL&@{N^T!_4%LQNt3M4$_ZytV6d<mrI_Q(1Z1D@y*?=Ktbo2
zEIZpA8Wlr-ou%`&P(@^gjgL%@%#mkN^f)5K7-yiwoTXPr(f2M#-1tzF<u&I)a>|c9
z&9ZEZ5<%V=vNBVW9C0hR3W87Y$z;&&3ez<bQ=^=}4mFYW#b4*gdmgPC<fK`#3DXgT
z)sKn@x*?3qL1!QHdnF|2iNYUqi+qxNXFj2=`Huf12L-dw@Rn$XC<mTjhh$URyz8kc
z0col1%qB;?rcm{_rq=Wf^^9lby{9i{-n51!F`Nu$SUxhK_(a}VTUdtMTGK95I_T;`
zc<r&$I=O4zd(r&I;De2O&n+o6oz0<IYZGBw)^Tz-A6xd9scd9ftR?B-j~lM}^8|d|
z9|W(??*9BRcz-d1@ePypAmP~7u3j|(cAznlRh<4!Cx0IO*gf^Ng>6w&bCaMFO0&{q
zd0zsjBW~q^1X~i>NL;z>y%H+oq!<zZ8}?S6-zu2;*m6=nD%&^ltt+6*F*)G)-N#9o
zb`#7ma?9QI$3{;nnU3Q7p+M0ng;xFk^oM%f&8Ml7mI-ThJkJM|jJUmiE05ZoEkLwl
zy16rJDUY$4!Ot}gGWuj(2g8hC%N}-Icfe_78~LX9LY9_{2Ys8N=|XQ6ZO-Ll+xr~6
z#RfNT{)ls^@?9+z4RcwcN+N!7)19k&mVn|`82Mcc*}|gGh$zRoaF-S5_bs%MCp-(p
ze9Ih1>Gz%*Ys~K!eMsHidy!{@Q~nG$b&dO4HNV@`6Y8&zyLl^equL)!x<njSzYnKY
zDV>f`4V9!*4nz+|f2Ei$;fq)PV<`~FR%Pmm-qnGss#2WD%eTZL_olyQJXn2rL(9^_
zYKvr3ayHlE1~COVwjnvQN<lO^qmow|Y<Dr5A8xo5AdYKQ+8BD8{aGo5J#DGoFvnjM
ze`l^;fVu>=Nx&J1_#YfN)ihk)xmDp?$6Ns`E0hYQ)k%5Y|Eu&b27r+sn;O)r@iQe`
z+hTsEcC>CT$Ys?%gBb8u-ns?2>A;Yko{r)QB?_qa-hx4d{i080ZPx8Szp}#ZD9>3l
zu`U#hxWlRs&TR|VWpH>$>b^||2&Rw;Ceu^cJ&aHV+9-PfE`yFA-e0ctLKuu>W`N2H
znFwcadVu@E{9!j4HYq77rRxd{^;amCAOi0}0q<)m92jliO76Pn69W?(C|GjQxzEC4
zU0;8!|K|%y2;S*s+W-T(?7do9HNgfZA3(c@4$O-9|LLG*dRe4~YS+^}+lqz_t^!;$
zK$DDv+eZ9<gkT8l>SAqzZNb;iZ$JOKyU&>AISjo~Fiq%GfYAd0H-LFX_OfOZWdeZ`
zGhNfqaJ;{l<OHonk<rnP?i)xnxHi0oM?q{jK_&83^L;YS-*vNs9`yu;PBtEQG{9i0
z_yp#4%$j8%SBG>@rip<+4>R_kKzRiBNkgkWul9=<^8%nH$`Y<I3&If_Kvrd^J}R)I
z00adf7Jx(za2$7D07uA**e;Xd#*P1&81PaoMnFgd20KCE4Ganl#Q6^e103Nq_|EPA
zVC&i`H(l_7WA}(<H4x$%U@Q+MyWlW<3Drquz#$eo-xdNmE;vWQ@dJfFYcDyN6*h3(
zgtk|TyRfODm+M#))nyKEOg5-*Dq9{m>@{UV^}3@c(A!s#mj^Y=aD1o+V9Z<tZ1OPe
z0u-kZ%o@R00{1Kz7y=zDcSwO!d>jN+XmII#^Roi}x?K5D%BUnli;r3YTM*9pqd_~k
z!DBl2e5rGY5KhXmVc~sgwW&JToSHENpQKY7F$nGBWIIwGA;0mh^(BzT5+E?-Ztkv`
z+-{i5kgXMTu@d6sjp(DN;dm$NLgPQSMCbm14ncBpN$|R+G>K!Yj5Q1AuMd<tpYNag
z;ZfYi$O<3ddx>`~>UCPxBkX}7*^owSWwUAU+qt=a&_W2Cu6Gql>8(UsBcFAVc<*XF
zR$_GE$ZPX>mZi<bpo2~3&`ZV9LFawIG^hL=!*!5X_;8!RUJqBnbTF?{U*w{DO3AER
zPz&{U@4gM^Y?)#k1xch20r#g0E1f#U(#I_UsB!=1k!Jcc>}7>5>q^p$Lfs&d)X$B|
zQdvlgoypj-N2cjt{qol0BDHlai%TMA$ueoBrosyry$I4mOKiAu)PmSe-&c&vAhYdF
z2saMnIF7`!r)C~H<h-4i@7&MT;P-{$$xGGWq?812#_mj)bj=jqbUNA~pStqx@pldD
z3XKP|0bxkuTZUNOO8YKDQ-U(F8X0P4#5(!ayfc2Py%i*MJ#N=}75SAoG9;-Pvc<8P
zm<1w<34|#)ju7|QIeOV&ZshemcSH<RE#bZ=3Xj`OAaZ`e0zm{f8}48v*EPSPk3U0m
z`#pY^$`(<YeY?_n!%#`UG%bToUpbOr054eruPDA>1(C|}sqfX+2R3qQqR1j=)AGc4
zZMNry8sE6NBZFjBy)!xdwn)0#VteV8Mj0mNDQv~5@5TzQw4p~Q2`iMWlLQT9KVME{
zvr5gkm$0G7a6&vN$kcaLx<&bw+C&9G&g&+LO)kYRGboxD=a^%PA^n+wiUC}_YJF;p
z-wdrI?%4*IT$yAkeWNgSZYf0VJGIo4Zt4(A;1pBkOUzuC{V+SG63Nki<yRJKS4__)
zDccaQpAB;`hEbAt8xf^q66=ca)hk!g9F`uIW(IPq%9FS7=c}FTJx=Aw+N1g;Kc>K6
z-B&TeVH-nGCn%nSc&cu<h!tdWe4nM5$EQ!lq^#B?{O8ie`49~&zia7MyI+xE1=hV4
z+g2MKS8zs6!Z?(Mo|@h2vUDK*ZM#Zn7fR!Euz$76Mx2TyXE+@r(Oa_QsKSV(5Rb<b
zSP#jlWAP$zoa*NLV9BHeS6%&t=j^x8GkH940G}Da1R6*-Tf31k3UKz!`zL1J;pSGu
zx=unug8yNR5&D>*eeb`ucvyAk_!Q7Es1i2d5Q~e8!^9rdQ|`9W04;m=Y6l%$6E!gH
z0!-m+Z*PDOu(7hDDt`*fvph#?*&CAUj)GuT3{qxZ|L{b>pJfCMjRgc+n4&oICjrXY
z4gif7a_#_^-wHbA8nX+}RQZ#Vf|7+paWGs%8mhAsrS8_~6zEJ;?LYW`*F$9YGv7;L
zm``@$K()#tACUkxRN{^z{yxu&=apcDJKyjViinP8)+kwwHA({M*8$dcb@d@&fS*JE
z+!borDLz5(UZn-0UlU-_cR)Y}GVn17!BEUh&iY*3*47quTF4ect#SW9?F8fu&`u13
z1vueKF*vB^*Mw@PfZUr4NIS5!f>qM={8$LI(tW-yq6nzJgOt_yqH{j%9bd<Ge%ode
z{CRm6!aR<y@-JR_Q4DjI4!A810tVu5;A_Fn6uz6NAe)@W)=im6D5@eLB!p2rq|nA;
zH08!mNB077T&TjLk>m-urS!n1V{vg2m{pK5RHJ<N{}#je*@i<1>vJq<Mc1eVYf@6C
zN=&Ds{<?I&@Z4c!v;YJI%0!6bgp~>CsH!g5@z&}TG;|-O8p4xx*)^s93g(?2hyBhH
zMlD4}8qbifA3tWt_}JjS3C2VeZN4Lp1B4ccAe{by>l}PVPL~Ni4_i8Q{=p{D&JJ3I
z&fsRrNrEfKzxfq(Crn(DXXPU(&OB^%n~*I#216@qV-0^Rs8RHP3s*$JapHkzO~Suu
zMG3tAa1FF`BKkju&sR=B(mY@AJiB-M_9TQTD))xX<{Hw|(_shIw(a0R*&tyYcec|j
z$E;hYmDJYN1&OYnv}y~~{S#??zU`{XaQ}YS=&L}||6_a#xC(c|0`SN}hEy8Mx}C9n
zV=b`~HrayewJNv>Pouc?(6BIjTmzj-{A84r;}*xT<046*evG(zSdi`7@WuLnza97@
z{_rFB^Cyz}D@0;=A3TJpBYcp?B|E6)ZEkJF0Uf27Us+R=jF7P3{utt%NI3fF-P$2H
zpJZ0@Z~`cTO~6vH+OLggh!~ljC@jT?K?Q;#bqyiLc#*FkQCM>wWmoY$!G`S==^w-{
znbI<o!K&By)Y-6>;3uZ2<doCXe1b3~;^wOiX#-q}yOa1qq@%~#&jSgxa+%j6aEJ*8
z3J)&}EG4U|-Ni@?{a8j%E$~*bEIN;YjxL7djTX;fZqIW!2AE4pSlBw@U&*{Jqq}0e
zN7$rIK;IRkJVlT};@Hq+UGnbC<NJI2%J0{}lGdBjAsI{-IcUa_824DBDT1W!4b2Uj
z!<9ObEP_wBlCu?9Rd>w-sb9)bSSlVV@)rj3<Iz@V1tDW>c7=P`GBbJ7yGI*69fN<T
zy4kSiU*Mm{$;?2mGl(z+^WF80h@nM%jW_v<ZpV(HPZM4#bG4_T=Xo6ULmBKB9G_<{
zt7H?MAnEhcSUHmD5Zt-^$e5%xWbIc|jjLP{5-B-D=?Yu%TF7|s36dv*Q(qRNl4Y|#
z?edZa^6Ih=>C;Dv*aqs@1`Ihl`4har%~-_7{oueaxK&f&`}%91boZ6|<y5WS5A9Nv
zSZpEoLw5-RqMI>{mFA+Vn{~K^vDfGVYOxFg2w)Z$$KwBj33J=0fnebtxl*QRN2cbR
zwcBjU1lF_h9RmH!(Olt=MerCjB8;3WhFZ`lI#kw4Y(C10mHAxynUmY{DEHBpPHi+U
zvrSoD1v_=F*hC-8o9>G8<R@b`r&fssANA~P(*`E)U_=Law#;Rs&1-dltDn4xZxkv1
zGWt|fwtrv#{u{hl4vFJly#2-Oj7JN;2Ikl~#2@&(em%_|J+rT_d!haGJ0p{bZ|z$f
z10NRuK#Oloks{{L{Y?|zoJkQXeB``_$1K5=!N|<yB4Fq}g>G`-bh$GATL?b-)0ZZM
z;E?pRBS~Z>!=$$$Q?}R0pU>55lWIEoji5H~WHMWL`+lmli{y!D1_MP4Ess*Lcf{4<
z4BHQpKIqL6Yz1VAw=oKW-%Z~Vuw^$a6u?-<eomgDSU0}GeyE%!m~ritgoJqL=wkk7
z)2(ZmxX}x92S<ALxiX}i5Ut4N3ouH?o}tCLf^+Yl6t%n<o8f_cWL+Pr%ZQqdhV@-M
zLw&c37SpS5pWGBccboCiLz0-Ljq`L}!sy=F;qWt+Eyco4w=ivv&9+o4d!tx2pOK}7
z5l<b$`sG9RuXfxd90XC-n(3CJBf5x9hE?Gf_5~(ve#$sfz|W&Da$5_I)K4@>wdr6P
zW~QM@`@MJAc?e6BbUf$kgVNed4duK4e)+MepJ-_%jK;15mZ|9?9Q_GINP=1}pfAcP
zfiNDv9(xY!V~@o#M3z5qfK}U7YC-D%n4sOIgr6~=W4gQrANqe+J&1{K%th;(c0#p5
z*489sunt)4|I>QzP=D2g?h*j|mA&j;-!C>V)mX3k%|!hbg6a?j97(wfW0}IjjTMVZ
z`Ub`w_YN3s9VA24`~lf5F3V9uF6KqTzuqRaSL)FH4GbzMiUV@oAtaK@Pv4D#qso=q
zr{S3soc~8uP<Be#GUXDuSpe6JN$E8CcQ=LU6+l7YuTVXXQ027s=KTL#vf$dT_vV5C
z?5iB0DhaEr%Ox}Yeg{{b|E<rpo!}=28E7+4_cRxFHrV#zVrVp+golTx4Z#2y#tl<K
ziylZ$D78#hwi6s+@c5pm#~{kU{{`^yDA?S=8Uw0Pe;qUn$xTSw=76<ccV^ec7az66
z57pSQaB!6Fv;Q4<y;4D)lE^G8roa>dY831wfPsPrH#sS(YEZhUoF=_s-`P_J62RWt
z*fI3vKq;&xK%=1T9Yk)ZEdYujeC9qkA}07ldlVyTJBL&vT;FvR6sEQhf#3{SZ1|p{
z+5!O4T=#kRB0AZ@nI6EndU}SrM3Ra4By(M*{=ikxjtKZmJ;uX<5C+u7L>0nXoqCj{
z6iB?EUI=wKP=^AdVHM+_=)h38cl1T4w|_WO@WW|!;nlxe{C|JYTx3?NIeUR{^K{GS
z)en13-OcFR_J$gX)yE-`(qI<SsEp8IAQu*?4Nm%g?TTHF25m`+d;&X%;_jlA%UVW@
z4C6I9tkBmw1N6Q{2o@w3c6PLgR};Ojf_1ABpNZ0#0}{J~(N0KNMlqG(vd^p}_4l}z
zd9sU3FXdEjB9^S;IkE<y4qUxUR?j1gjT>mD(DF;-QPwuNXH^k(QacA~h=aH#ZPFZ;
z*}Pfft#`$6sRVB<!Loagqy=fTJ4huJ4>~_CHIj-lUVE4r(pcWCf{>QXx@Jy#(OAul
zUulpx;F78VZDdb4DR0kF{?(Qb_aaAwo_|Ed>?HI4pu-Sj#GBZ-(3*j-N6z3&V8{_&
z$=WP}?NqZ`{X4{kIrb)j+C=!4V1X_|u4$OJPLNdB6X(!NEWtZuK_sknS0Y~@(?0Qe
zN=nh2UW5U@Z?bMsscLuVZ2=BSJ=`#n{6Lp0-3qtdZy%nI+*F#+owW)I>(SHDb$2h+
z!Y<e55XVlsoV<9;+(eOWXnM2fLkwP@c_Q{xcj53%Ue}K;@xrg;`-**jl7GLSrQvPC
zPLyRD=`vN6J0~jBE^{W2;9g!-3c80(?0c_TlOsjrOJa(gC@jjZocSECa%EYambhcI
z-7j|_@IZV!U5)gr<88kSc<TBWIgB|KFK_Q~$HZp7VC57x#(aM>4iS<mbkCGd_%2mv
zExCt6!&787R@J+9E+@H{Q}dNgikX@syIJY@WD@EF1Wyv92AtUQHzVFXyj7B=G$2Z&
zyr8vUnQBEU_%Pc~BUa{7++MJ%{KbVzEuB?`IK{Godtwq^#U)u1@zPGz@!ag9wgJ6k
z&u|z^F{Qr!P**KE3a_4dLScM6oG0}G!=R)rQgP;uqT@=?Yox{_H=WgIn;#bK`(#6w
z?{kLD7gUE17hR@OHPnyPkJxwXC@Hh4Dt=?8dy~Ua^7G;?{y^<EzZ&utdT`g0vimyY
zVRwf{r$%1YT}cb{+DXSkEcUBKsF=7nx*HO6XM}LSqMJ!^<84ea<0P$^-oz$-y~Th{
z@}4P0r7OJj?J`!aQw*`SV#r?0IvNZCUx~G5h|sGSoOb-k{VDr4@y<{t6N%HB630^$
z(@ps*ce{WB?7^lax~+Gy7Zu;hWhkj@$<Qe4$Ryevu$bRAy4Ujp$zE=(7?Q@Kto*g?
z;;T9|wtOz@>M=0An3?|6xm%9XGrD&E3<f9NE}=a5qTp$YuYtpD{ZW5`3-a@CnSWw0
z+J_5d2jl6VKFMN%WKYuJczt9GFzFniR$%PzWIp=05eb7t%@hOYcD61E*bSkAz9}hs
zp#Q_3#6QDC^gwMRkXT1xX8GScFmc1!j|!GDSI&MIXuUM~vk(gFdPC(0Hx2xy90YH1
zFF)R&<JFf6Eq09j^A*E#BIy0UwPgqWmb%|@)=bW6FC({W301}=_s1wde(OKV3L4hQ
z#fg1TR<Ni~JUl(`|NSgNUjIIenaAmG-E$NgYC4b^>~)=)iQv~E*b4fN++gpa!g#OR
z&9#i{broFcuR&{5$P#N`96DaKiYM6d+R?AMFom9u{~_&i;;!BDGl|mWdKLReT-NO6
zpf2=1t&Qeh=HS(ATB`F7ww+E7(R4#%M|$T=QX%`t#4oSyeq{)kD~;2Y2+F$lE<(iI
zM=VzNp07#Mw-QH3g?c}mz=+}Rk{QMb+<-fQ%kFlx+^^nO#J>ad&Y+zZHrqW#z85zS
zZN)Cs_k9pOo7rNQNck!oa93R#d2l2gOYlOQLmpeK{f;st>%H<HcYSl($T{V|#>~|>
zzt^~1kzu9IpE#XDED{rxt{F6PA4AN7W@vCRys<%_RA1350Qq**5<Atm>_bA8ZDn>9
zBc0L?Zd%g#*yPJAYgOsAqteaTI1()H-J<<IX7Aeg^kuuS`;*J+uJDc5Sr_PHhzgoy
zaLMy;`&;=C^L<-=&pXGS@nxWu-i0eqhfaqwZz=D)9MiC!k4Ut;j=b8_qiaDuC8LZT
zcjT``{K(@c&=wU~>R!xx#yyw07{K|n#-J(uV|tQ8(AGUyinuzbqmldHE>Sw>ZP~89
zMIzowrcqCBPG@f;%8Snn{I9IHbbi2J9%f6Zx~gEgqgclpt335WQmf+)7UI(4w|<VK
zO9&sI?vl@W>LyCXY3Y6aL978-))BneAKpXQ7m39cAw?~%E5Yl8;KuVxH@3y8tjgh0
zN=!W@yX^+~ibT^|Z6@j!{~KcaPvnBJvyxhslh|aib*ajvy!<L^0xtK#+Rshdrp)i;
z-VvuLSfC-3kkr{1pM%sg0&8#_P3ALf*QCgn+q_|#T4^Ri-%Wq^O|P_tvj_-^^kQIc
z7;X~q`@Qe!_>{xqU7-eNO*?hz7}(Q#4_s<zgES%^4hfx)A;nGeHnv?#Jx7gtWq;90
zdPTp&Qj9PSd0)|QD6B=2*j7O6K7D8D+qlT*ql!dUXY&Y!-hp{@jrbO(3Z&gz37&*n
zQZkAB%}WcVP<B81u+82fdQapVsYG~UbQZwx+AeJ&<3EbDn@yty2t>EBJq}A_e^C|h
zHj3lNGLn@0xw~4IQjw?!Yi&qs{96paxB-n>V@}2A_Yq2gg@xIK6XvOTX_q6zrB>`@
z!W@63TsMb>PjT0-cBffKL${`mJA?XGd>WCZ%8w7976bYtNv>h?Mcr$k;t$Y?=8X(_
zrh<nY#G!uosISorNt&jVkuEDgxyc$zlv4}T?VURyR}_Hx^E(^@cU?}F{?vd#8IZ~U
z^UN{fbsP>VFZII>>7?^pymr~*lmoy2+CaOB|Cj#po1A=x>Oh|fPFCMVF}vN!|79!D
zDtsVCL<Xw@%!jI(@A=?2&h*qJWwD*DpP#*i1=T1wf`r4g@74e)CL8BNuG<xK1uL89
zZyto8>0LR#b2|`+$?hvg2{P}OJDI}of_%*plhb})1Kr*n2jj%DJ%i|_A4bExiir%R
z!$o^D*)+q$RRpE>Kx4Xo{lW!m;fu5(XcFJ{gI(8rof~fuydB>5ICOD#N~%sk6)?`z
zb=fk%zK!+z_BU@VrpanO7?*e+k4(5kK#Nw^2s@aH;Q03|k>M#8wd?2hbvnNP9t@Ai
z+Ir>{KWN_sM*Az&mX?+}4!5J*P4vagf>0j~{@G`dm90JLvV=x505*ZNz6$-`q2e_)
zHKM_kr=SL?sHlur&)*TyhvGeG^}Q|Z#Pm{*2b2d8KtdxTApCnTQnD5v9z+@$7KYSW
zdzCE0XWmCqLg49D9th!A*(CnTk>{uY1kBEEL4VykhY0?qN2q_&jR2=)2OcRXz&w%E
z)*b^A5L9WLgAn9~l8`c`tv|SkGqdV{^@l8LSv^u!)e#;IXJ0pHs72AOh#56z>BrVC
zYkd*Qj(L!;goXU2nDT!y_7+f8=3U&Vq;Tk#?oI)bE)@_#5Rh(=?iNrQR6-oOOX5hQ
zbeDuk3aB&!f*>GLg21=WJL5a=y=#4UUDm8wGfRQzJm)$4zxV#t%c(5H*_nLF*!6CT
zAV03$dGmb5;9@+AAxd6~-$^VyCEhkXT-J*WZz=mJsMgf6ZbTcz=#M<|BvqJ@v0
z<z?m|%%2DUxVp=aG%m{TVztm3ZA7bMi`7(EW{J&2kh;(KmR9Fw>s(oP&Fy+o8gI%I
zVqKW7#M7g!$gdiac+E_}&Wh>-tr6x^+Zck&*Fx3!C~z<yIhN$wf76KAmnNXl8Csj>
z_0maAxgt>FXf5vL_ySvUY!ts}O{T&=*oB_B<Yj1euVTdcWAoo`jPn9Oyq+Aa54b;i
zAx&Xks>D@OUUHmk%yaW3{N7SJO$>*v57(>lFxA?_?Q^$k9d^56va2SA?d}+5oG*g+
zk`6ReA{&qT&xdtJtFxE4`Kh}1Gllw}r#$4Se1^D<VUovOpU14~OHJWtcG{$f`<C*$
z!jjU|HP)_<7@Ir6x!#${x>XO2uizvxjK*s+YK9%vj@fY>R{u&QqVOv&xyG)ucwXcf
zPHZ6*>Y1*dn{7<Ux@;Ep6PatShp&_%Pn~p~_Nmr-bm_GD2j%d9dwDI!oWyKS(y9gm
zSrrDF=0{ao&m3dTWhlp=DE0*LhqO5|3kg{3u1kr8jJ-5J?`UQfzw$vOt>fpzOB>1c
z?RbTX@<v3VtZDB@MOS_#hW_CK6qa6o`6E2oO`E`8N0mw;MDj-T?z3z&?j@>NrP19i
zEEA-y6RH2$Vo00G1G}i_wEK@s5a}E#xYwiCFoe<%+PXLhd>P6q(QB`7deOhz=GXg(
zO!|cX_+6H&_B5v6$1S(C*zL}%LZZ*~Z!sX!s&M(F82LU$5WBI2&Pr)_FAzDAuFg=J
z@NO>VN6|Sn7KWh7`VpsQ1;|>2IqvStD=cAMuZ>Sd(l4Sl{c7%X)8=McmWW<beT@~^
zrbUEtgDtc*AQFrGUS1s*%flxKd<I(d2|E{RwhG&4X+vE&Q`AY`PDKI_+#`Fh&YOLE
zh0T>5TZ2EP&M~EK`<l08u_AoR{p;AZE-tPEEY_6!-7CW~A)LvoS(qoO28G|1>8|gr
z@;dN@WAb9vi+f1ioGx{e<>86ysx`DbPb~@2S^ODrFDZ57ttIzswP@<Z6%oS9ETilw
zWnU`1JNU^<jONETMZzDkEWf>8g*0BpZoF%XhS#U$hc~_(&%l6f^(jYUV6?-*C5qmb
z>C>^oxy~XZ_vu6VsK}DQ{zn>+2LSX&0CJ6ujUOL1F91gowPFPlBp9lEdSkB*sXf3J
zg#vZs#tr&%?s2@t#6)66Ko!;i;dJ=G1sOVkQi6LO3RU)RJqHh<y@P{CPyp!5ZJu{x
zN&l&JM8F05Do0C0gToBrOQ=D9y%(@rKz+d`4G64aqM|R0irQfNN_d}agC4?oU}#6#
z#T`=Rz!n5*4<xsaT2`aFV-UK#CHni~w_!a0r%<XaEVFH|2KmG%CEdb#F<=coZZ8+7
zK+e!(d6jtuD5tISx;@OlVFylGHqQ;#I50M|g#-BqB9~@38b<yf7dkvV98O%Vzh(V;
zBTJu;^6AZRVl%S<Gjad*YJEPGsS5-FVqjooWo11I3`Eg4AO5sS7+_NYdjaroOMy#I
zO)b$vuKTz{1~)i;LvnQ;d!=EmDjO*QwQxAG2Z(CnK+FTjegOf2tnXMA)0=a%vo~4p
zL2S6~=ewEW_t;1w?r|`?=!Z4^wy|BcJ{TmTs(O4pF%=aR+;fP}hOI`HxO;wgkB=d;
zzC(HaG!%{nAWwZeIGN{hgQb8*%Wogoq{x5n5RnYzYahdr5u@}46|@l)wh94)3r=EW
ziVy((jp_TgAf$zXJ5v(qSt{*B(*YlcFI2K(Vd1Y|wa!9sz@ZUv;=@my-@ZXMGkn43
zJ~KI43@F5ejuL*mivV8XV}Io7J&dM!23hNH7HDg00}OHwTap<LUIBq~Ft5O6MzN!0
z$|oEwMo0t&1!wZ%QJQI60$&1}SPm(v09crDB;01PH&Qt2S8c^QM_-@<^6wIm!fIQU
z0az-S3IFq&NKte(nM%ijzu4g+u?KoIfIRN*KTzxezyrV{8;ElD6Gak+>V4W~W^(X2
zLB6}7U?l`Dp{yMZ%j<G;!7WMF&D&ch=seKF!^6>WCNc$_icoqMP>?|UEg<d=4i4}~
zbxxmz%{zi&9D=8D(@Sy&)sCQkubf;v%0~lb=?%%3(7{M)Z!~_*W(^0n#Tl&C>U`lo
zl<Srn3z)U|x!0G2k;LiI4re$BHKM}9-?SHw*#VKF8ZNC`zr|y95ab*Xyk0u_4fVqT
zzkz?6X?YJQkMRN*s)6qfk$8-)T8U~LQt_4Flk)$Z*Oern4yOEf@^yGnf*K&Hm6etK
zO&&H|tB=H|MkRWnp1YmeCL)7+7ZVGMyywqHAbJBV05@*IT><U^BzQ7&b8i5f7Ycwu
zgBx=zDq<5Lty)2aLapAnZv{+S#6gExRpkaU#qZ_n$XBnP#l^{buEnTg6_bN&p?8rM
zlm`IkprLVac(urlTRPbU1U*F+504rx<W`+GSVg$syGO#j0zSbcv#5}?JF2QTS;oM~
z0ve2w%F|!JV(Fz0A#m2}G-n~ep>Q5OC}c+}Gb^jr9~W+nay|Bc8Wc<g1|fi4pjaLC
zkZIsl0Cmr<_H)3|{2s<lkWD%`@G!Hnvqx0kkpP|rEXoL(tzktvM+qr$N-33Kthpi7
z3BBvDZ>>h_Uw(j}XV5XmZlYCR+!)!Ht%r}#0mXvek~KVrPGS$JGfqKw3dXi(8xyLs
zzB&Jd@EC!k{3L&bz#_@t{SxM{Tf6NSr|qzO1T|0~;DqogaRnMAG(`ZLLbmZK07{TS
zE*ZplO7#vts_-P?FhhIzO-RAgl7*Q~L`2)|3>LQfjUMbW34)@cqTqtb#%2xAVt725
zgUxubkq*G(a7)h#o_OK3GVt&!t!#4$dIZ$?@OaoBgYw<iL=l4O;M!rWd!J_#>{LGs
z_Tw@`2z2hkA|PF5Mh~_>s`?ViD*h>+{oNy|Fg2U^G|;a?DVG87%6&_q^92U}23EWz
zfT^(HMJWsbYi+YS@Zt-sc0TR)2!M}8L)pZ}+DH!gm5mLPPESwIn7#~XnW;=wElh{%
z0PiT|61-*X2f7J_95XUogGzUwE@YTXP%uZ-UJKG+wUE*fC+)lmj1}ZA$c?;8hv@a8
zpke(E8${wg(9!JgLTVZm=Y<wkJVkg&?C*TaRQ17Xv;9kTX$jAj9Y3R+y6Se@C(HnT
zzkqkhTuXaVNiG8u_Sst+8{2AF1tf2awQ%)RuaPQLY!+&TM1G2}(T&3wB@c_dRY;$?
zZ7!OQsp?Rx1jlc8si2-~u!0Vsx<RAc1%4sjtDl-&CFa7{ga4v1k1w6JSR|muoKZ0y
z4*MzelB}R4J}4t)>+Zz_^&oRBCXJR4En@#D>^f6hJElDwpLz+=>|lc-o928+Ivv&O
zjR>-b4!U~LxfNxW>yQ~dMC&MQRFZ4%!sLr~N|o{<<gjd-XA?bdS4rr}-OGn7raHQW
zkLXFa6t=94dkA<$(~qh7O`L}}cD{0yi0WW*EHmU2PlrZgTYPY-2^Ps5;H~EWt%aMK
zNOXBSKa#S_=vqkYZQjk?=p?m-E#s;n<A&=LH7>!GdrPBskv5dCI_2)v?zYM@s<%A1
zi9-~IezLBfth>STyJKNcG&Z!3iz2r;oO*D9HnZi4HyvZJs@U7cwfQoHY3|)=zLL4R
zg@@POL!^X8hD#Tj^Nmz#m9>}j?_yCHE3@5O`fBX=#Kj4}B#?=0oUP|3-rz4;GNsuj
z?or=wJU~U2YH6M8vWn9|uXK+*4r|^UUj4A1_sd2kMjd%&_I|eumS1SOM|AEzG(INs
zS*HM9O_NFU=l<J6!(sW%mb)Fd{%RWF^+Xq>pJPP45Wjk6^ox_9n8q-7GFyNq8QUW^
zW=kVNRg4$QugS}&&`2?`lSUfnO1i~XiM|!Z@F*2WbP|FjZ?VvWdUhH6D{F-g#`o2*
zLOEIki9%x9!XXarFQLfM(eX8&={wApeUW}zA(x-!TjFR2CT^snOGmm@E@Jfca4Z`a
zb;J{|_x(mR6pAPYe)*xwjIj{^%tC`h9pi&H;FMg^7}LB=MH~3UxZbfsN%(O!NA6Rp
z@}nWX3isHDyfkDG)iT9HMw+b8=bw%({zS`O<l(u__0^3sMpu@953P$nnA68MBo#TO
z&~8f}dOePDg{WMlPKK)7e3+OPt?9@4a<+&lIh~Xgqb!D+1)-H)$hVlGJz>r#9Uf^n
z;~$M!VDM5)4##?vUFhUmk=)?H0{6Zp)rU@(C>j!WBQuAiNahw6Of<2mL<vUe7}Of}
z9K@)9q?S21qcg@<=)B1)5)&SOT1%t4Xra!Gm#^qTomniyGTNqrb(l3f9}QlKkRn2?
z2>DdQdOMkLx~gZ2{{ZD5;P1bHE<JsqwYyYQLCB(^udh!v@VT9!4fuCZKnAUAU<@A0
zmXVT_{M_ArgCl`NQOsrb7_>VR^ygT!op(Bc$36=+<2A6jYiic<em47jhZ;i~-3tfn
zca{Rfa?l|y18PEn=mka^$S$2HcC!v4m%Vv%g|O^{(IR@=(J#=xqAWfR^+ah1m|y1S
zcPY>?|2<Ck3#LPJwzuaozK!pO2Kg!Af|aUUT3%8DQEcCgzHhT0TWm>4NMz9u&1Zv8
z<_YaFXhYXce|%rUn=`cll`9De36KDx+7=j1O?>@Ytd<5zYO@9vP|1Nm2cf4@Qc^pR
zDKgvOPS5d$c5&mtf9A_7=KcrOR-882?T+RF2K3_B0thh46nS{1j@haIIm+S#V#jba
z?i!R&5t8k0wy)$Y+-|n*`W_f`3RsWMx?A(XyA;8rWXo{k7b-V>U!8s{txV6z0HG9s
zPAVxg)AqHWQCG0CqEa{xiYOGFB&#syS*Wrj+|8!Rm&Ll@ZtYSX&!Z|Z*j2xoYuf`S
z$<66XMzH=mjn*yo1`KPz?^iY{J^gz|vzvdK3P+%{-(q<&=^z6kXHmGrIgn)e;@xUn
zTN^#caRiVYFp)YA!fC)sOi%nU=cpIH>wMvqlTcYwBJQ)Lzw@dd1Y`%B(~h;DA(R%7
zsz~Bxh|K+T*W=*e09FWjUz>K|tb$>~BoXX5ZqmXjc?hZluW}`g@(<DQhF&LmdK0!A
zuUoS-GVb8Gdz@5$r5~S|NJvQ7Da(gF(XpDbr|rXk&fuQT{a;eM5T^spE*yvA;NT5M
zB35N*5Lh6C#+5T%EnRfOw59&{r93SpDyJMkOVkBGm?<R1)~H*F(o8yd`}v96ACdaO
z!s(Q1jGywI>*JpprgCY5pk4qsR!~0AwmcL$dw2nmB*_-1hP|B~%4}IlDN=<El*f+s
zU#lTzTM%|*&_AHmThKtQOSpZ9@xk)yu`}w0{myTls9rztS5yJ3N02r9r=xP;4d~@g
z!~Tpkmr>LkU|E%ymxJfnF{pu2Idf)aX0?W`(2AoB$is;t;s$zpN$78Xc3x%#2Wf}~
zv;ue#MZ5u}I5rW(*49?pm>r6S3>l?!&A!DiU;YL+Z`N?=EW#rrfmvH&+WOf}bU6Lm
z9i$FQuci@nq74WouzDq>Z*05xL3k^0e)@xE%&ILToYSYKrl4npJ|>;xija8+{I_!g
zL=ug{dvfs$yxkZjJXWAthan5t&nU4NB<7auIs!WkOeRn)S?FZW&+a}iL%qH8o%rwo
z0%OWI{>Q~aV9|8apU*>75`^VF1`rzMg`urI0fuexsdlYzhw%eGZl9OVSK38k<bh`a
z=0QJDbbv__P}XKdhlkz5Lv(nc^V$Ri*-H}TjRrjIfr%Cn(g0}|-jq#~1DIM!$jQA<
z51keJQ?FWCT3I<yT)~fo=JdrNAiD6~j#0N@_IaNvk#K?3Lc;F>oA0cIgrBGd7+jZ0
z$rvl|0ZYSE`ad&nI}XgONeKz4jUVJ0-$d#>>$TL-7=f%IXaK>Vo?pMJV+=7b2qL@-
z;3~loVD`rDp1yu6@QYLnAp!~%_UnM}dqZ0MA>P420w+*{A4C5LG&L=xC=-)8AUWV?
z=T&fQT6~u0PJjOU@pVXSGX@nk6eVDF9~>RQPl8V;xTFK@jdIRkJb1=n03DUt;%OX=
zy)C<4c)v&f`ioRi#o4+1i|C(qpYrI}oeocE-C=fW7k_nl8RvzHC|K&w=ygh2gK!g-
z#@yNlzQI6RLkOUV38?9Ws<05?@Ru*WUdZQZ5-UQo9O~W>k~K6odi%`E*Q>Do1?Gf6
z%9_pYIW$6cD|ye16Mopd=dd!I8-<`GM}6VAjFGKv2QO8h>)`ArYUk-ps6?b{5;bT|
z^pgiiU0)Fx{i1bMIxuglqwNKcVB=!47Fx4H$t+Xz@Telz>jA}xT_HbvYwMRp6gAIk
zb#U%AYB4tx`+R0(_`+I}Uqd+jGhWrNP?*QBKO*2>;{EkTKJUv(ETJ;`xIzSeycR)^
z3wg;49WiT@_)_wy_w^JDZkMPkL}Yx!=245rz{}t(M_2cgKx0t+!n>*#WFr&XmIi(3
z6|*ILMYRU4(ZEKvAxxESby4ZA48*Pbxp~i!OWooA1y8xxy2wS`Y8zD#uoH4k=byKj
zn%bx_aUrcDej55k>!=2d+!U%;tRA+^lG&I`+w{orbX|Fp^$kf(#lWVSO}xHNd{OsP
zqLG%jq4rb5m06<U-}ncZ&9!erY2~^k->EX`-4tgd+{f&Gdn+W$lWZU}H*@_`zl$AO
z(z8JYXDm-|Spg;dADoAsb729<0ZhdQ<!)}&d2`NTw@N9BxEs(4CUXp8h<xHQxyvRM
zH}RF0&P6$rqotk>%<^z)7F;7f<<beuc3%=gG+3OTHfk#@V`A`&VP<~nvuXMH@gv(Z
zW#nNb=4-+l`#ZKbl|zN!a(wiv&%M$XzZ!dRgmH0CPvME?!*{niS11*BKWygm+e~Hb
z`TQ7NsI-lGpNwSo*fZUx45JQ|I#^dvrV4!9zhyO(=aG?HZZ$UYky13=zM=H@Swwh6
z?ebVs-)#nhS(9Ai2z<%aF7<T-2F|cVp=D`up}P;??2M=la-wI8f1su7zN4!c@$3Yi
zp+j@lXYt&ui@Qtb*$;I}oFn<ObmleJ%-4h-OfKR}PK}Wws~j788%B707EKVg6cpH4
zU6&`;bk_w*qWuDc*JI3gd+a`HWsK-@;8}lFI9D^J*kJxm_M`~y^WIQFZgweo-0*>>
zy!BcRnO`4wPd##Ufht{-$SNzwdMVNOnLZ}AtFS`Bto3LZyJ16D!ByA96goAM^(nE9
z{s)hB7GF$E)3Zz_X>lb)k;~egzAjnkLFOsmDGg<h?7EDp==8%wAit}UA!LoS=eVXv
zh|QKGG+~$M?r+xk^oTwc#?h!A?9mHW9dp(J^OEQh`oQGtX?dOx+r#~D+;OD&7)7?0
z7N|Rp)rg1KDt5?lYgEWg%|Om}^vimz_q|le%I=C~YK@+BK*6jy%mA~v`TF|4k$glT
zuy`5@wH(+y({MC@7qqdpg=B;vMrpsQf;WGP1m?pka0r#RuwZ6hfsxqjjR4^#s@+E+
za2kIfLkD%+F|61g3yO)!|I<HUK1>Bma*hOUR#ud|M|eEc3b4PBGUUD-jOX{y;H+>$
z+1HBkTsk*AA_62D+MjxRR~f#?`(A|M`Caye(GrgG?6q{+M<?;O9JeE6|L*2c_z36z
zhhW%d`9gh)o9ev^=ZVGs=ClSMB`tnr#&y?2(MrQ|1`k26|6YIN1s5-`=NrTkRztAw
z6)2KWm1ARLedDJmC%uC@v#kF#KCoQSbVJ)w`F-|XhVK;y!vA-(%s+L0mP-6nKplH1
z)Axrel)GS8y073BtMtXr<j-pc?BodbN3axfI+X)LG<_lNpEKf#%x~LW`KS+4eay8i
zt(_R{!5Y9^8W{n1ko}R96My(Ya7p^*C&7#w6xz%p&7laT0+@Uob(lWR3#akvXjbuJ
zU0+<nDjYY6=ap2wh4mDZ!Drkq7CkRl^A1+|lsuNJYs8|e!Nb;E3jaqU6xam&1))u^
zUL-jY+m%!}EK(CFy_UcI`1%M(>^QxlHK;T=Bo(YQ9w_ijnvhZaKAS7iG&WYoN~+I9
z++ufI<>kJ@CRmwXYdCD^Os<os8y49@H7p#G@q}}2@Tcm8!JS|H5ys+=on3FUIorP3
zH4F_)3XNGEVyYYN_H++h_ZoHlY-nfYm&!?z9J8g|WPR~~kw>N1ylG|0r0{FxYVFsP
z2CYtO`v<qM?lHHc8{X^w?O-kb@`w3*=J0iVew`=#muJ?J6`~wyn5+`80_Wc~h9mlZ
zGQaAH2s0N}SQ4--sn0&R=k(-qsk+9+gxIqZAyIM~j{{wP3d>Mt_XqSJf1dD<M*ZeV
z^cv{$Tc_9N#lNnHyHf5<SP)wI&YMRxwe#4U{|q^*;ZKM7E9Aa+(Ip-(^+2|(hWuT;
z!a_{;mR8!G#_yagpE`tpqTrLwh|Ln)YL|FSG91G#fL0L8K;2a#AJ9l<I($z%q>q;(
z`WA<X*Qb{uxy57px3L)H{cye|Yf@a{uW!)Re5?{LMX@4$<*AbIl?)H61}$9z3T~4J
zI*STneYV?&dY|N(!oxqtED#z93nn9??slB&?)entI{scAJ#~GX6LqJqb!20iiR<wl
zbZ0hxrKNH)(x$0zqXT!%=w8RxOK<(mmPx{OS==eMYBWDy*YByiMv`NxgirLc>r>1-
zx78Q&*)gX}SCaYaag3u!$^++@!lS|__6(E;*T}b9XMgc-wlc?Fk?yk&K})@l-z;g;
ziv4)+LY-bd;`fYZO&XS(I{lD4$<Q4Umk&Y&7IAAzn_@3rWfD2<Yz{S_Fwee{oTK2`
z9U=X#+iYL`451_z{bPP9%Q7SDIk^a}|8J3}pV;>GWntf?WQAO;_|BQk_%X>+tm7fk
z-tG9HlGJl?I!>=z;^ps)D(jW|WO~RB_5I^3Ro{?9v^tC1Clj$oYK-f%7hERtSLyw9
z9$_Xr)yV68ixEQFr#?tTTycMEQ}y-m2Jw}?-#n>^TP@87f*&JQO_}VE>^&9H*DFOj
zFsT-CsYUkokh{a70>wU<3fpm)AEULybOQa!PdPcTzgW09KRP?{mR<$wW>HZQLz1g-
zT9d|~W%HA>MTuP;4`u0HJik+JetxJLlbZ*=@kg+KY^@;r^ZCXJ{Wv0Mhh}DMTsFPQ
zPWlv5ug@9*U{T{ph>pHfxvmL7D(}wMg~`K%|CX_SjDGkQjoT_J;?S?1ZRGeZKZP01
zFCgGZ^*dmzvLL*eOL+|$&Be;5EvFv;tuyhLBg|&e=c}RbC02wH=F8gJl=HH{6)`9M
zyMo9+SN@0q1(f(=3M|rhz@kqq@OW-}<k!mEFLRv#t&0i_l$mtpm;QYfOmk3t|I}w<
z%!ii%Vqnz4CfF+sHJoE=cp%#K>A<7$&1)k`6A_A`L0#e@N(IZOm~9JJtBkdt>c^+*
zSqOJhKq<<l^YyjmSwDCmYGh1Mk$Mx6baL7)h6an`vS+&4_g49-);TPiZX4jXm?Ftt
zl9Dz{g#2=;673^}SruhUa*<)ihUE&Q`f+L3bW5*kh0KIZKX43u+?&B&S#`TR3Gxj&
z9Q1Mx;-fhakI2N*Y&pYKKHl=a&&rm7Q~rJ;3X>O}q;iYcRm{skR5O{lrrL<lBV6|}
zA={Vuh&Z7z30GH_L*M3{^#B?LC<;Bd?_f2Sz2~nqEiLNWA_>tM{h&DU(o*P&q8485
z8^qbCQT*1*iqO1bkI0_9c?`^_t7Vxug1fE4^y`#l_yQ^31(68%d$KyCpHrJeDqe+^
zXu4hs;K@7{k$Jy0$drujq+b-`dG!lxpH^N?#Zz3(gG7tx+6oJpE?<~0FO=Au&(EW;
zX>sRz+wLh;6DNhPhB91#6D-^KODO+Km$~Pt!Yh|_2^*D56kdFhyV(evxOC!fMHWw2
z+0nsI9bcF7ljJdlL@qnh+6f%qjb6AgR>LYJjpJTY=oZ8IS*@#UD%k%(s-{5~>$>Qc
zsuB4z;q0}jyR+oROOjsE^O)Ga1S+|qJx|rC%ZaTsZ{}*@(Xt9yR(Y0EIN8-HF5BSI
zoiFoEy%t^63w+|;e4nrWN|bVOCq~{;toowOtzMyhKPvpVkRR;6*ayeNadGHWPK-iW
zJ<5nVFGJ%QccBYw)4o<ifiS~;v8$QQ)oHheJDn82I+T7?lN3Q?QOf1Ct`w0MaMgPf
zLet7if&MmFq3coZ;dz^oykD^~e^h6Mxev~L1s~as8OG53(;ETZ-O|X8KAWM+P-In3
zqh+%@+WnC%@>>yKzTQEa&%6utry2I&)v=MFXh>>s?(S~E{Pe5DNsjyUR3YJ)9gSH3
zbHoD&w|hw`#_=yo-#<c@kVlH__!8EKY2g+G2iQB|eEfF&$w&tWHyn+Wp711~N|lTy
zuOnHvr0a&R5|+0WCWW6DfmWz&V5V5T;()ZGNBx+v(T}Q1EBc;?PQgj<(6WUZr71C3
zTie*f5qTBVI#2Kz)%~&Iqv$mV4(lK!A_xk)0EV%YfHjz$L(JK;*x2_2)xJknrpP1H
zFuddDTb0uQPae2GBOV{OoX*GkXEcUS;}Zi|je+!uk&ez-SJx&;z_??90uVI79sq5W
z87!Q1*m?19pVZ$CFvZTZlamu5SXb-QQBvAyoWP1LIhis-@mN#f-;cc)^nn3rNvikt
z_3bnU0cM2tLHqeZB~9#_ivyk9V`*y1BNx>_-JNo0z0Ep*PyReVk;1k%v`d$KcIF?Y
zu=_oH*t?9*@Mn|{VBfme@`no$)@z9h21A)IY>cymPto?atk?P|%+wyRn$p?``rZSi
zb|9MMBq#eo5D07wz)*8-jgp#L0vss-iUxcLSJkDxbrvR3l<0^777kE^NuR#VQ)rO8
z&U~|S8eH?l#Kgc2K4=#5IigUQ>JN}wLs69uI&b+t2m8b`z<XpN=F8i=HYaBRLMKr~
zcF33y*czRfB2k33nwaxv7}DjSBdxEigL`*!dior^7GPHenaOP7bg(#sZIGxt<bbGr
zI6RwxI2F{cZS*qLZd~WPcbh0R+LtX@I9&LeG+dMXbCdh$v<(d<!B`&fzQ?x;#$ag!
zU#^g)$IoAW)`i-`!S3YyYv@QH*r2{#=368{$OUPs^iv+Yi=DTkDXH<@%)=A3`z{wX
zG&ch<E_CghH{fxwBB^t(0a+hvi$S~xQsB=v7qA}!;yiU*h97X^9UQ))LgHY51o)GW
zbCi_b9Lh95#ngYm!C9&=4<N&`GCmQJpO7Ws<-Yyx8x1uza?B3wM0zaUVJ)UHTWQu_
zanOm?ViiANoxq{qRLW9ew!!{y?;8v^3Kn?el$8DtAGQKz9+p=)I5?wrqHuu$VD}Fz
z#GK5`%<Sx8s`0;pR)`&2i)X$O8j6CjL8qmWBYOspey~o3$3RX{Py?xha6nd6pq372
zzkfqGft3HgouUdjIoa}{^w(e$2p&;@>4trOC3WrEq(klC>K;(!@mwG`y8<GXB_&S)
z<-H>1<8<fFyLzyL0*!axt5*)-X$7014cORDPp#kE1Oz+?SP-y;MfpAf7XbzY1_lOb
z@nIo!0^s#8jZM^w25hg^1@_U<&_GhLZWwjA`0ukWTUc8^64Gb28t?*kJ`|LcC&$O2
zZ4(m~{>yY9Z0-Q<BqJq-H8eQ<)xtsv_)_CWu>XQ-#q^X^hv&YN(-v%ezbr2UB8I}w
zK{kiy@INSPVZI)`!IIkC5RwPaI3(0vyLP`S80H5+*f_)4I5}q?tLKi{ffp|P3YaBs
zRq~lMi9$TJtn9qGP#HK0&eUfFd}xA|eBGNju%H3|?qOKonF1dGC<$k%+`tOnnuNF<
zE&1(hFbl@%qW!5nEA1tfl^W{m?BOuS?M_PB!lE05lg!~;pKD8J@<D>X&T;|K2=p8u
z8{ApVT7B^zNuR@}^7*3LHUO(hiHY%dvvWAZTVRzJcyRY=Z0w_@2r3+Acr?KB<h3>$
z8hza`ij%P7(FhEJEQ%R^0KIdBfoXEWar-odWg9<&t}gBg&Sl>Z8|hf~Y+A>mky4EV
zn6AUh%AJ~Hc1u}gsCMH&SfFk<1F4NR93_FqNG99bjF06OH+~~EeT+1)keCkF(~Qz+
zlvJcegAu*#ur?z4k*jE`5Sxpr__oTM)MDRaD$u{WIHbiLh~X%jo@!26(!(zzKAwTd
z<FPYL#)>K2^U70ntJ=+w_NLJ12%qC&l~kbMu~EuuGcdng!5oz`F|0c(s9Ko8M6g4J
z;h3wn!NL`9RN(khYe~;<_A_$`u~&s@rA4hc9_i1bAI5Xz3q<KwHE%vA%r6j~^bYYQ
zT={Y*!XHCauD>+~aYDJvEBKX^r$Jny9iNb4@SSKJL9t>LdbVY{gg*|&ps2Y|(mE-H
zA=~cb>5p7ovnJ`v5z5M#uUVoug2K=(j5Ers$e!k>WohIEyMJSj@>mge3k&ZQ@<Eqg
zEt_=dkzEe+Fo+$MD%a(jx@G*XqRMEi@99Z0v0c#ym-SIpoj3^&$=#w-%_#gxev*Op
zi;&^1XJkKDZ2XW;K2F5ivCiXp7#GY8qb2%`M7mf(M0Wnu??pvim%=1vNsYIM4jdXL
z(XV;b$1q|(Dt3!p($qmLWJ*Res|}beCf8rj+#ZNBtslBVq%pe@!yjs-bv1^s5r0r{
zLR2fH`OUKkW2`&fCW?LO)Sc2x$Eygb+U4-5kaz9{x1HVw*p~E2Fx~IeWGOc{eVQN?
zIAAC>7k}$5DKFci^vehdqV_JVue%ks2;9)zmlfz%$w}Rp7~h^47Du)19$lWGpz7`u
zmhi+#qScp`#(#X}9*_KGT%tw363V2okyL)6rfc5nI&P%3*D^IM5Mrk2AMv}s3eS@S
z2KUu$oEFj0X^pg`;IW|*B9kOSZ2g-<&jl>)+Oz~R(P!C&1iq;Yz3FACin;9Q)QVP-
zsz2eE8cTRl`MlAjqx_ZiOb~5)Ctsl03gu#GyK3hv8%Ab*qP>wzOG~3tt7R#?n;mtk
zVm`-Z)~C0FrEqiZcYhjX4Zo7HsNMO*B1A`MM(wsVlV|br89NDHlvXZnpe%CVJiCLh
z+xrXFo`mDBeCn{D{5zh=hW7;_;Rnq<xW--OxNA&Q?D}tK5k7YISl#neAv6}*LgA~H
z$2gs5Q+))aW|cy?qC@TFR{V~qe4X7dGFCV!()qV0?(wERX{KgY%(=<H2PI|l!-tzV
zY1bTeqi{*d$d10xq@<;BH=K79$!&p7PD-k|sOYVo==edLX(eYkFi>ZbSzoBYw%wxL
z@=h`zG%n6yRt;2>$@8P%KrbRu1jj0XW?VDwu#t|r(qRq(#}rayG6t+AL2?EGqGQhA
zed^+5Z{|*K>VX^#1ZZBTil_9!c*n93G{X<%)w}ZYmx6N9|68SGLj;wb!CVz86+w!(
z<Q(MAJ!g>lY_Lq2BTI;j>+ZhMIW5DJ<N(YTSZmMMIn$bTz;O#Yzvsj?;Ms8)(C7)u
zc&Xo414nZebhyA@qiLR@)&*4DFpkYb-|-Kx1|l`tz~2Pg6u`28?X^)9aTxM^l=Yv{
zZoK%7A$#lT$QXgY-{SMcDDT^v#6eqez{1!9U9xc67Ni}V0s>X~>J@-_zz~AHT+YQW
z#x4dvs>N^L90IBx!314GQAJmma)H1F*el@pYgz3FHZSxx?w*^+ol1|h&Y#U=$vDrU
zt_Tjzu}ZnWsY-j$yP(X24?bwa`9(iHMm9Q4A2wiJ^JuH*F{Z2gKQI$c=&VfOgN%fP
ziBI3^WdPjVzrG750b^J`0o%s}KMB*o`4JEXpp<}=4pL36y0UX}gdac_om-Rv*d9x@
z3=?JUoIE&?vdg;3@(}d?rtmM?>n^_mhb_LFbpn_T7%D;w83gWLVqk+TVD`KZE70r)
z<M&aATDWJv#{H0(t0a5sv%?+n=c>jJR|28+0hL|-2AC+SV6|~S3J?GoA-d`5&3x1p
z%g(+E+!s`i8knc74|rxdn<?XP^YTt?9@IImwMc)wmw!gRRX3}?2^=B#0<h1aS|0^C
zgBuIrcVN7d1+dT-i(WmTjFmrtwFvD+W8W<G9E0AI|6YeS5d4^uRMj~q0Mq(z&_Rn|
zHIx6{bB}_80*o#JM@j~8<MEk)xo*H>M+o36#EOBB9!br(J}0)UH6)@F-$l6-R7@;P
z7HVyP2}4s!g`OcNWwf@ImMo~@v+nwS|9tJS2?`A7OTJql_MO-mB#|sH?BJ*Snhi%S
zm~G0E{L?zl2JKpD$Da};sn!Co4cyfN;Wa>er4Olc&NKyMCAy^>uG1D4Zl+5A3tiHJ
zrDyXuV6(&f`W+nhq17mo3zqviB%+0U6U_%0FxXrwovQcz1h2T$EfK|jz$=^Pja!P#
z;hp;if2_~vwUeGsb0QRUTE0~RE&&s>vs+ty(mO~IH!`Vzw*=rbLj<?FOm`Dn82GHZ
z0}2h_*J=vu5MT-(f`TyuY^fL8b2#p*sNfI~u!n<1{|Pt^^9l+=CK8a8Qbp~@A+Q<j
z14cK$$pBgy9uJKJ1YeOU{zuzs3A4$)dsiV95R64Py_x_Dgq~b2RjAWWl!yEobY?y#
zdKyOcz)OIwF|=Uxa*tbJ)PWWe5PfK);gTq$Z}B8?aB}|afq{T6JoWt=FdBdfn(^M|
z^{3hIM0*Xv%Kz+GR#JLVE_U!NLsBMyS`YpG2^pl10r-U>=CaJfDOFrbik`o}zoljV
zqyv09)m2r20DGS&38(^)Xo<32s2H<57JRFP^a9`!xTO$}4DcTC>{JW)z!%|;hDH$h
zd#3OkO>KUApL#WHCqxda<;Ra71xPPrVgf1F6iOxx8qkOWt_LObUg@MqV<4D<%(bNk
zUM}b5=0=5la@@@XD-f=fcaUfZ{?%DYN$d#&Kw0d1URf~6$;L*k2&&@6{|Ex$Nqj=W
z+N6t1wfkoW^;^ph^amjJ1ywByqlI4l?c2A|%0ovERz?Eghu7Hn39w75|6kapRJA&!
zibB~1HNeZ#(cs`<0CT~*a4dE?AnP#dt@qhaDU|(cu||$*gPVn>X1p2)9wDJATraHS
zAZye{!&}B-4&_!2aRi${raXn1NeXy<FI1q(g!%b!X5n0nlT*2Bk?QG9@Fqq5T`}u^
z;!~o@Zr?>lor<;l+RSXQg!R53#uN*K@^5qD&V(xnSXuSZl}~Z0l#O+*5qS9Y+KJ*;
zB+f;Wkxx2s86dqVOPK4CbJh-pifgNg5E|@)-6YcNRv8-+*K|5j?rDXkHQl1%Qu*)8
zmg0MzL*!hgkz^c+6~a8^vmX$mOW0%3mBy~J-<iw8YHawddZepxxXzWtB&Ey}A~^kK
z=vY-(xZc#QDvBxP?sN}=d?tBoXNQAJ+hu~qMJ6uMKHnmaIpq!}x?q(Nwtr4R=%-ia
z({H_AJoYP-<I+VVv=Qz;TGqPCRg~EEG~FyGYE3ORx+pY{diIN(u7sdAGFU*?kD|@9
z6{)MOQ0SG{RU65sz%PvJW#-@Z1W_!Ur<PF2NKy0iT`pqEfR};sPQ)t*u3y#+9}1CJ
z0W`5yoP(i#@;RxR79&29O}K46<t0%Jdi}ZDUS*s2U2@f0tFc~9-SF*;;Lyq&xMcCt
zkZ2IoKX`+URAttuM}YQ;aP_V+W$hFd&wU|fbgKkiJnPC=m$i=@LL!~}`h66U*gSiO
z*!2TkA2jnCFy9K-a}qt}!1GEA_hw;a66So7E5F?>?c#Mu=`jTbxme!Q=d9bfE&8&#
zG3s5dZhq1$R?-;{T;<}we-PTCDY<T!%Q*3BK078n{_|9b&hFlW6hmhoZ%esLD*BA|
zqPVWr#x}_7FKa*GdXfZ~g|4z*cOg&IbtP6BZg3N~s(tcFNDQ4+PL`PTdMXpCKi5aP
zJ|)bZtdGQ3!UB)+@wh@&trk=B4=Z=D{kkyONEGfNsE;i=33ewp67oyj4q3tp=ar?&
zqoP92XCv;4T*p%n_T^}AFQa(#xsN`5YV8}q2wO6~cr~XT(sp(sdF3Ki!5wc2bIu;V
z;bc91A&@3Z?jY?!!QyF&FRm{4JVQrQhU7*>MwvDPZrI^TlX0<P0@jeX64o`EwCtax
z-N;2`aMLhVC{^sU@M&GV$y_%l;#8I+vHgITa$d1fWih2D3#6(MyoI^r!Sb3+_4o*l
zVD*OE#`>5P`20dP4^!#8ENh#|39+|#h_;uQoin_+RHxoi@`@+jC9?QB<b8az55rL5
zs^9dY`RErN*_egYj@vpy(_!z~EphB-zhCp`s?u2<@QOsgMo?ZR5#R9SRwT>0d&DDR
zo-%tWIld0EZH8tNe!KLpv<pKV4n(yp_4v2k2Tyt}f5EAL2HC!(ion$ZZnPv|hta)S
zIy$J7_Md%SB#KW|*wX)&uy5U#cKTQa1eF<6Ggxi`%>au^4uXZjYv@h%I5YzA)ufWE
z$%VsQQBeT|e`{O&&(oxgj0<`GK2wfCn{ez>{q48xvYGGa=hp(cC{P!(vo>)5hoc*@
zi)xZ4Pr?1T&7vFIze8jdfJ{-E*ux$6NO45zB+4a^SP_J>ZYj2}<evP`XdjgW{&HY7
z5KSx$izt8{r^P}tWyYS)j?js_<yKY26Yl}2Drras(B^T#U1#U-jOV*iC;kCBCU2r(
z<wd$zYRX6aPm{{v0!w{`=Le5}zQ0aijyG<_M;Sd}4d&tct^U`T*|@pw0r!m49YkA1
zKhO3A>JA)3Ez{B7>OFrn6?^i_@t%uB^pZDma0v;EjDpA%L8j~ISelVxl=3V7G!#<x
z_B=kCcm0c|9tXsIa^eV&VU&9eE63LRHYzIp$(~&V@qZA7jhL7ie8qm~Q=lJ3afqNn
zhoPNVv8A;Y$Zj?8zJSx7grV|FT4@;>@F_%9UNa}#CG>d#06D-N&bbmA=})Fx@$lP$
zowc8@YBZent#|y-dCFXrm#0uVNs9W3(BeSK<bW%1*G%9o2lN>hA;1>#&5Tpg1Ma+c
z&N|hlYz$W_)CRIu%CaLE?Iq{C|DqBn4ChZD!OsBe18`0{hHsBmvQk%n4~?o0Ptt(3
zKM<E-mGoU-hUBFqaNk@~AtBhtrfAaP`)<XgLpfOBMbqyR{()|!bNA1rc7biBV`py<
zSj;hSnb=8jnR|MB9{@@O#AtOD6`_pxpy+^cWyflcxaYAO+5!P=@(dta*wz=i_}^z|
z^d7$#!>cWH{G8&SA>_=awG^1cT#}wF;YR24$WZ8PyVX1}@Mfh@3^YNyolyqzN(f%f
zM4aBG(q4Lc^{ixcfyl6F&MrSx3l~cXQ-~G+u;Aid8jYkC9z~>b=qs(Obd3fE3pXP!
z5mALiQb*7zB=9=YG}6gk0!_LKGTsOQOG><YX6o6IXoOrQcV1VF`>2vtbOeHxrGpSF
zDc4ysMljJBn>~YXS0-)%pRD6AB!+ywWP$v}CWWM38=BL79Rw!{8$Lm9s21TMuL19~
zS2QK&=FfgKDG6`>XcE_&8k0^@#7@XB%1h%cwM|zk$OVWag2}*z#BZ$T_Lz?N3q5wO
zgko;ND6z<>ha{&Blc_3LjaTMx|JdAXNFLfk@Eo5i)ay>&_(|}-iXdDS>fT39p|&V;
zG4UUX3h6KIwY8|lGSJXc5jte>nXhQAS+!MwYz;lM4a=XOL-Tfo(-94i8Uvr@YOn=a
zL7rsN9Wk<8pPl1Q9q|ARCH9?bjBC<;f;UPB+{Uj(QVN+ppx?)0G@dn)IKbZht`!@C
z2n%aPYL;M^dbmEvJF@vD&nw}1iNOK~?czuLb-Wr+-iJKlBM(=TLoRwE6etv)ReV;#
zdB}mLrsI4?B|`Jam}jN0<H|~2ZsdV$3{gYKJm#a6e(c(ti3(VSTEm!jMY@jbO0-Hh
zt1j!j$M$f!>PhR<JJYOvq03{fBUBfhGMJVSejL`Nw6>yGIlUXxvRkoqqo|CI<+;|z
z_`|)6E(84G+c&qq)ZTpS(v_rJ8jfpeL8??rQTBNpfi`v9iDX5%Uik9s)1Uq7l$;MW
zm#Y(>yD$`4vUa@3w;^`1XCioB7>Mux@ndq|TUg)t5GW;U84e_D#EkkqB_m(mMpsl3
ziiu#EBI&j|%iC?@Q1G5T(;4zSR`E*G(Y6?@k}tV~*>wM!{K#G&eMy62L^0`7LFnr%
zis3IlE%iAP^IF~j$b~h}d4D~IcUAM?z=*gOU0U8V>uMsR_@@QixBWobQ0l;&`fS=o
zPwx|iDqZgKwyEzk=>C=Hi@ZY98<jn<d?O-eQ^?bv#yoTILAJ4T);(T3l^M2v<!bzA
zlGzVq5o1eTX~RQ&hx=F7AKVbxm&$o`9K4!y{dk{hnMgY_4$Jl_xv^ni`p(-EnGOt^
z<xRpH5q-|*B$jIAfuzlbgnGxeq=fBVm+^A0`8j>X;Q3tt9aoz{ML8<${5_>ztyG5R
zJ6i0&PBRXrCR<^@>vb^v^!f7~F!h0y05G|^2mWXq8}{0lLT9O9Dx`u+@bKd7NUAyD
z$MP*ju(h+Y#r;z&8;jwPQ7P0)7`TZ8-a47iq2NXa5d-zLwbuj%pSx-YRi;U`ymaLu
zHD|XVL{c>dK()a8FgaOn(p<MG3LdDB3h@7c0_d<_hrllvmx`M#8@sdOf`Wd-kS#nj
ze=GhJ6DC4J%j#n=M|c!f4{`Ir#uWG4HJ>p8tJybi60=37S$C^c{~p6uI(r?wJA|!a
zRRO=j=5=FR+k9ASY6lV-a+Gwe%Al})11>`f*1m8&R(2bK$tvn+Mcvs3nN~fDyhpE7
z589!$%JW}@!YqH!2mOKxAOU*xqn9c?{!8EUk&NpaZYkR)oCyO!n>;nWj#*7++#&TB
z#FvvO0$+G_PvH7qP3OqS&b-|p5SoY+h~m+4aROXi#}hf{q7MeiBl4YTCt<jwmkmrM
z76y6S;WWw0V+=q~Y+)Y^SpwVk6@r4ZO;m&bOym7Gp6c+NfxZgtSKXl`!<l-%p%L^f
zI@;0BPUX&>fUjA;WxAzNQGJm9wrO{b<Rz~g+8>pRO3t|I$qAj`AZVNFoj&csEDD&x
z`z)#YGk#FiffgFVj3jPe{m*MTB4KA|zkonA&ITB&>GS`*Prrp99)7YVBO^maFw_5y
zI{`71hsObkneC8v41-@m?TvUB(67iSv%DZy1c5aKC;=l9HsxOk8S?%+SQ3JZ+$bzE
z*6jF+SMH+zzAZQhfq~Kbt~3xoHC|1A8yy{$;u7oVjzH)hUK;;+#g#`?>;}yZJUY#<
zdGWxSaVb;`lJixWz_+(l;>EfzeQ-rufi3AtiRP=Tnig(s9}43`@Q|}vNKIEE+`$*m
zvP#VB<iBH}%OK62s&Q&I^$$O4YJ^03d=>MZ6ctUl;JCSpcu<qCr1T2YL0P2sGA1r9
zFNwls0)oiD3h&bJ95?*Z%FAa^E1#l~bYyiUsdsyjMe@qrUR-rb@LaX3DvC~YsB-jP
z2yJXe`ZRk|FjGp1r6jAq#uC1gQ1w=L{3VT#yjL&k?z*Mm0YYB(YxJ$A>&L#r#9IHg
z^~XB>T$p4(wl^u|Qlv8+Lk_K1D&Bn`ka6}B_cB06x=LUax4V6n@T|?GqFBVJ@YqLK
z549L8L;(6+SxVcgpC+6<GKi@uUmUd+an0@R&9oCSiaM%kt)*Y~H}d3V>^$}y*eUiZ
z?rSS_om{<2<8X9T=etA4DDj~LKZ<X<G*?jZzS}K6hrG~1g22C|iiePdE{!+Hmb*GJ
zqA=yjzNvTWEDBh-P~4>x_Td%4$IeniKU-zNwso}krugvq^6ueaCJl1&>(oswJ$r77
z*}_pbP7-{jh%28JSAOd=H55KD{XQHBZk>LwG;Mn#<x$Gw8w?n%V?7nSAKzW(CL*De
z&2M!5nKww^a3&vDH4+@y@8;FS5g<&en9e_R<E6PRE}HAtvvoG~xpY3_yASRv_6Zq1
zWU|asWYXh3JsxwYJ)-`6{&=wvbR>rv+Sid)yJMjA)xPoj(vof^Lya&GKCYY1DyC+L
zFWSg9b5zI(Ms8GDVqplALCJx=UQ66H;**pB*&Un+y3D*X^dee`W=p)0UW}bl^Qu4_
z5-(LXCVkU_>xlhIA^8<#NtifyO2|RQ>w(@;{8xKV3v@8pOH1WbulBc#5OBXZ_b4ik
zT71@noA~QmhVb!+FL{@K4)zd-au8t$iF;6}#^Hvd7h1~7DGFrKku%WX3zR3G;(jJ2
z!IY(=T5~S-G340ic<$F}>Li;K#t{~_q&@XRt^eACD{KNK;kkphOS-&vUCkYLhBwRe
zFMf<%N?%jqNkn#XCT$BVgz&8S@s~4M&jx>a&vLeO!^(wP-&K0Es9gCO7C*s{%To9j
zIY`3nFwsCBz6NArX!BnL1cK`~lL9g@?Dh%NZl}JgdB$v2f{4^=C0VO2d2t5i?+72T
zbx-J40RsHIR1QYc%K&f<4<8CV{%=p4J4y1jgVhJ+LJba~-3trtH8ta7O>f-60vcTW
zp#(s-Y-L^D)cg1R07X9K%m#_y16ZLl@=oMEJ%O`62lJ1LP=R>GMZejnT!jsRi@T9D
zt`u_x719G6s!ZvJHBC*Qoy4HSHUUNKobLiX)DRHN1QaG;M*sco-4Ca^rUQ`T$P5a5
zt!pm4IR5-U`fI3Y;qf50h8*@d5Eu9L6~B424;m1_y=zS?gCJoZCMc9PQ@QjL9DegJ
zxX2NT{q%uWZ{Rri`fnla7YqjQ59G({sX}>Yy(q6#fKg%5^G2T!_BEdY(WEOhH4DY_
zQ{J0yKlg^hM;Yy=QQ$%i7u!0j+at*EhYN7|pJC|a(&<svO=89VcA%URR&sK3j$}%R
z03Hsmd+>^<r|X|nY{K!mqXMYrV@TgzFqmho&^xFQ{<FVgqK9qk|2Ju%mj1#W<|tSU
z-fL`WF=iwEVFW8gFnC=KGUQ8!C1N0qVlbqRJJfD(Z=)pbK=OwrCUcUHzfM%}y#ggr
z1CW4fhu4{EmooYRY~w*AI{<M{NTj=`Cmt>?%3%*y*#Pc3ku9{!9?=+g{6PXjnM|tx
z(NF6EnEwCLPhat$o1DBREUZ;92K~X)-sRn0x9mc*_Bw5B@Y(ynh_Y)hv~uy@7>a)w
zefRE;TWLdsA3SZ}OJR>UWheUS(<fk*2&bu$-k$MjsNZj#UKH5>@6A%t6PJ*HZLl+(
z$*^<f;^KnW0Hgy5uzClw571nJrn7Ql!)_3Q^7cU^E7-D&&ddhR07_DXbmH<8AEu`@
zQiYhMq-KEU0LV{^|G_KWQhqqwVFL^z0Mt8?nThgaFV}@z1*md(JiMmPxFaBvz|!;G
z@Gxa`FRb6CADwss1H-WV9P|WJm1Ya)rQxO@iitq2z^Ef!F|D~YbpIN~OH#ii6`qKl
z2WlK{!UbbDu^Q>J&xF#JdQXXieBsl70Kx(H!qA)etEv2&cOR%1<O<CE_3%4g?34;t
zp;V?{jyFc4UX^hqrHIZwM{?^F)!dHdza%Zgn#T>?Zk4;_D!!fMDWX08waRPG>rEkg
zbD-ulfLGqgglv6n$mv0d>w(t^CC`dUDXFM>pJz2?Qqm2apNGlXd6_2EqWv22(FHn9
zI4&Cp??*F*1dF6ag=W_fJ6QA9^V;FWC_?U2a)In-eF3g-dlcfe!jAER?;enoKTcj1
zrg<Ow?XM_bPn@r`7o^+AyI<LX6ic}l`U#Ugb!aget2a0GZZU=R_1B`(Qp_uKo`&1;
zv#}4Y8ei9raH$OankJey@CjR-l51~f?(dblQyi9kVAFOq_4O-eeR9n2N@Oo(HQ7tA
z8bu>?>5c_BmXZiK)>UN(Upm=srpq7~zhJ-L_lc+weT{CyE@WtAsGz|~;uUi91K+4J
z2U^&jR7-VA_E`_~FZ~Y|R}i+4qSd1RD!)tJrnO;LoX5B_*n)zJQYoU0)D0tINLh3E
zz~f4z$QNbpPHXgxpG%)8Z7F>VC@LkzFo*1FaEf(qh<t3BzeK2MaJlGEGkD?EY{v)b
zm9^J@DIZ2f(i(oojw@2IJ0!ICl%OR2)v=RYnl$QIaHBK&*!}%ome-4jzQbg)5Z>9W
z@E=WCQr_>T9yNkvN=d(MRC~?#7ptf~UYDpFeB?hZDs&J;8><OL{0pbe_wpJVf)Ubn
z2|k{K&utg;!#CcVMEiz+ZyBiEm35#>G+#6x#=yeg(xueiSni$C*|pX4OI*8JWzvC0
z@M~rKR%!DpQBDWWGTN`coGgP)wldr<u0gWWRAFP8$I-q5dZ{DgbTf8CuYaal5{YmN
zRz0fm{Q6FkH*YaA5;3c}dG1a!{xPs&d7^2|?}jG*^Iv9+g9Tj%8MrAy<X5Z2JkGS8
zitq(?pHqJoz%lAHiEcK7opTYhPF_8?az%u3Z!a-6@DSG??8O)x&HpYftCm);PoTmY
z2?<(E1$8x`G@s4xA$6*&s{xgai;m{y<C_Kj+&jT`CtG^}8{q%<fBcXLICQeMW@}wv
zT|EHRAP4Ba*x9ory&V8SfU3RKlnL9DhLVye#CwChl{hY~kU#-v1wc?o+jC&~^K}|H
zHxSu=3Kpi-XCphUg&K^(?f+BRd_yxbXicVohSf972YeBLTEgQK6Uo~Q*J1z&1S^X0
zc-ZfFn+(Iz11Op@4mEVn(SmIs&y$r3J~euBT1ZXKtT|uY4RGC<xW1@o_HUs&`V9ad
zOao9bDv-#lG_ks+NyPcno4Cy2i0(t_@$Cb$sE9+cA677uYH+$WK&1Q7(2xLvn};V|
z%GU+rGE@s;mzZLn&<L!pR5kd!P~=XOa%5r9`1kkdt$Q_rs{^Bq|C`sC@EUw5ds9y8
z<b3OkfeHND2xv6Gb$V4+28*RABE~v?@K}vUJeS^6VO*a`fl1Lf*KBwH37m`2xz8JT
zgRbI<(O$9CyXb#Lm$<?tpbryW0lXTxOC@R?Mj#Rc?^Q5gmywpX7N%yl29tuy_VcDs
ze6ywbBHzB5mqrNHMW{!;2~uvAaj5kN^(nmPI$Y#Yg!IpzKd)Es_Wj`L>)SqkvVZj`
zf|N*LetsUF1Q_~&lRT6r;%i)~AHz)a&j}mfmRnL{x6t+|JRa&kiZd139Ej$`>Ecqg
zVRQE`Vaj&^nry~j-iF%>7!@ef7_Yk+M-3#ZevH2lb0~x0bo9x-OvBST6Xq8x>&?WW
zDFR!?g@wJJJ+~9+$^Xp657!(0NC++0-DnR{a@7*i^Oyb_3p~>fwQ&0eA?ZW4Z~=~4
zVB1OEp{Ag?6#;Csfa2#jI{qv*VICgm#>U8Wus_WVymhM=Mm(q2qs5#2$%JuuSwa@*
zXTMOU42PSVVCMldq<_UJ7|{TaYVOwZ%a?41y+8zP=KnRk?@s<Ni1$*%zE;)$D5rpS
zKfc?H5UgAsgXS!&A@;C+!%a$vk&#hR1&}*<Ru+?03k{pRxS6d1Sp{mqc9l}Wn7*;`
z(1p|gP2(9(ya!gj=U?S6s?|r&Ga{r$`$GO*8WUq~B!+{}-KeHwKNyb4oo>Ab{c)>l
z5WJnB*QJ;CbAzpBodF~a-p09_@t#)93DP6QP)KB&V1^tVr$9*r0}Zfz1#??e2Ut|3
zR5?vWMFlq>vPkZLi6p#P#ZQfljNmSSRfD}^KltEc<6m*BW5ujoZU^st@DF)ySPthq
zgaWj=Eh&Pj55&1DDZPc09ny$D%c+mDKBB{WY;cfkDcVJ4;vv!UxU#|_H*|b14RQXs
zLTA)rDUT|lF$tlC8|a&$cd3uLftNWY@6(V6HIkTNnYpADRq<>@@D*KMv2-j#d3k&a
zSy%I(!TOo8CI*)^5?fQj)-JDW(s44>IGmV$Lbo%0<i2p4p}`5Z!m<w{6;u67@;&kH
zTp@$SXP{L<kRlUu5iS;ubRHYtyA)O`Re!C9(qC?rY5dW+H+w8i;94fNsczcbo|BPF
z(b8AYZ4n(e#GBNEot^DVN%c81%D(H}3jeah3}t`D0)Kl3<Bf=An&w09Rm!PNh1gvo
zjZtO%lkgHI2(X*cxk6W%AA0%q?vI~^bq++d%Nh}(iu@FQr8m$my2mZTa_t>tpXl#+
zrqH4&!y9r`BJ6pr4D<{tSoEd)Q90rEei8!{mvP3u?%Z?cq7WUDjikJy%7ECFZ^Tz~
zb_%IBFu3d@##;9bp;vmU&0Ii?-u2rrEmt6oOkbWQw25Y@O~<W9kz&%Hm|VEZI+wP=
z@(wQ^iIep}Z*AFDM@5E#0TH6~T5i}?l>yb)T1);|qAlxn*$5Ja(Weh4op3}L36B~G
zS3hEExi+@artez5{@H0~lOV+4p~k1PwyGdcoAU8F;sARzFSkKAzO;mH_{&n>UvGYD
z3D=lWeIua3X)XA2L*HRX@9<t*Zu!ebL$`MWw};qI+GEU?<l5iVEQqq1t5Mk&f%nNG
zrF)I9hAxAxpVw;ZTh}xLHbKj``$tj15`n=)vz83`dtM>Dh32;NVS$<{NM<n)U#*Al
z^0ZRw8aN-gXKPpl-d(ykm+|1kW(0knPUv5=w|<cmGZ2yp3Ly67y1S%~!Z$Q-YUeF-
zgxBD*G7D$E59z5}5_tB12z&2%s{8nV*i}&(rLq+vvR6h{N=9VwIF!iB-Yfgql<Yl^
zePm`68QBrpGi0xj6~EWHs_XlEeDC{y+#c5-SJ7EMpZELqe$E!@uz23+wlNEG5oTXd
z>TRY82=-IPe?BKSO^s72=M)efBq8hRXY`bms;}ATpJW}QjO31B`yhNl<ZFh>ryuER
zoe%NV@u-PpGy<G#_Q-F3I6JOCRAE&)P}%oP?K1XVs>`)o;h)pL#jxBr|7uD#11HWO
zt=^d@nb&yC(q}Gl(){BmaQW^x{l>PiVkQm-BAK2_EqcZ`LV^7^C^TD-Q>JG3=DdPE
zjITo!7>&3JUUHXcwG&ID_`QN0iW-sg&V;b$fuA^u_hqzvwssZ7`$VxEph2x80B&+{
z8GExrFAv800Xj<HwSlC+&vA+RUSfUZ`uu!Uax&boO%Mo#*@v>SM%9;ByP|L7e1t9g
z(LA(5JM5*pYH5wadVi3@9K|dm@(Se10s;d6I+Rn~`X$b~X1>;M#6GT@2c3~9v<muH
ztcn`{C+KYUlKoB8g9y|DWDH;lmO;Vx;sLTuLkI;23T-6o55o?t1+Y!f0zCkAwT}p|
zUq1$N?#5lKXK)gNwFi2NxD&cz7Xo1_toDb%{fR(PY|VfGw0S@_lF$jYs}U8ITKKPD
zxJ&Z=PXuqt?VS@7)5O0ibN|Ap^atWsR7w1)zuoLg59!RwI76}PEJZ}rM^0QpF79>Z
ziR2pz#c-V$Qw&$%zqx<4#36e9b5f>I`;nAd($07SG@nSH-*=}<X?r-42R7)Wyy~d>
ziuE93AZG+1hX9hHU_sAFPxphG4Etr(7NeQb#$<KK)O|k>gNSkC?b+Y4wv}PI=#Nt2
zLhLZaz}NE5$*&{+{h)n_2!IF3m%ogU4`Eb#K4Y$705gI}8jeqk<5ZyJudc4nDzG36
zmAnJLNKiXeza5cq)udxL?XpDU@ok#pT`mVbNM6JEWWEMR%|t!qIFYywV3gP)E$@Sn
zfAe??FBW-OUaofBD0C9@;aZrPX(V%9Ld9sMS^+v(msOT|^UqIuzJz9`iC#>z;5hZn
z(e8?4b!frgY~If_jX0CPKuOntEk#jZyC<$q_Pb5xzP3u+<|Sb)wtuF)&j0tE{}lb-
zf7rZGH^xbZ50ijwvg#Bfo$d@p9nnHBc1G@7ynkG_0^F6~DY9$kw`eSu2DjWMFQ?cV
zO5E%bl)!y)X=Anx`<17nam7#&kthfI++$><KWALNFFF6kJKR6I5k(`u$+k~W>6K+w
zu4Zo-E%Ip9_?~cBkD-+ik3=;JK3%(kA|)seQaHpuf5c4jc=)9$af~~UhAmCkO_``j
zO=55P?D;cQTKQY5W%1jJxK%l>s;Qj3vUV@!y*5L1T>KI(t7%th{NF5ejoYyAY-Fq&
zx5i5I`5xbw=ZlN<=v*NuXS_2OWw`RH^4S}UTOx8cvv1W*H2IAV@NgyWB9TE0FGY~K
z?<rp3zY&!q=~KqNEycrK#3Z)-5FR^n?9rez9qHju0u_U-_v0>)Z;_U;NAnt*n^oLI
zifvO7_>(+)V_reVCYDpevOO2`gjk(zio@l}#>-jn9&J`!(InD;63tcJ%LmhxkcdSp
z=Gnc~`7`Xk=L2Vc*hYQM7`)&Z$0~u?mtb~#Zg34vIikJe-g|*7y5@Xva`{M$9VvCz
z_0EdspspDF^t;Zfd6Jr_FHCg4v$fKaxBP4y1A~K5@5uyQKR<hoM;yIU>&sO?2}&+j
z+BDZpD^>!J*4WlBsD|2&(WG{yrT}tbE*`=3iHxOyP``Hc=OuQ#?VK4gw4F}5POOqe
z)Sb-9hjZa6ejSyp*Dc=qAYI-h8s=YNnXY?<C@cKOIKEn7@&h)-(<&Qv**ETs<aE{3
z%_Gl|;CONApSvG--VSd;%stn5Aa$Qzl~c;$iH+C=Qg$L{|I&AfIqg~xi!Nv_Q=rwI
z)aW$cAe@(aw3{iUt|d)su-0JP3`n)Ngprgydx9-@1zY*1t1%PJM`JmYw>w`XaOruH
z7@9A>CMHs~@~V|l;n72vJ*E`T`TX34Jwu!^gcR3g9@Ubxt++ODZX4aAbt?C?pOC?y
zhOMBL+xnXUTDkC58GA}ZSjkv(B^e=$8D8{C#@8<o`%JeVzF*}qHDh2S?{^P6S0}$`
z;}xs(W#>iEtn2GJ=Idgi<s(RBt8%qYALFQm{HJQhg^yU|w{ZL^1*(x3A|8uQ*nFma
zRE~u;in$|O;RFU@6#Atj`_?<Z@38Tk!>eq^1^ih2cb$AE&70fW9GB0X{;4;@vbuPD
z=JKCg(PFw|OY^5{qUY_Kg=$4!j-sF<>t^FN>Cen0|1sJ`_V<pxaSfhHy21Sy>=X#C
z(GLRJJxm-NmUynef57<sfPdc^ECj4?UmGndAeB%fNmqNt%;FG6)vkr;L?H;0E#KCB
zfQS1#h#L#5QnC@}#B>WH|F*aDz-j?lSc0~CM&CJX>~f^q-{&p7Q{>g4#Y52zd%<gJ
z(aGsSX!q$mc>T8-v_cW$ZDM0Vpi19540X{p5RK@l4G=m6o8w}NN};fjKvzait_24`
zK+Knv;3uI?OpM=D-B~NNC&6)f(4<Bu@}CLsDyv2Ba6B!A%k0faY^%nvEwAwoUZ}I%
zUEEv{3#nDLC=TqhxySoS*g8$D7b&*YTHm8B9#-DbgKUoN2~yTl*otxuC9(<8AVPmO
zZbm(;yG-g<CxWE%NNdwnqQ}SELwO5e6VvuF6qG+M)vvku*oK{@m-O@Fv1%!tM|2`Y
z&a2Q)yT~eRw#aH0jJNw;EHGD@ap%WX@6}5gRWfOc`NZZt?aBse6YOSuPx4SAw6<ld
zLN%t&E9AtVka!e*_n(g3$YL1`QqFwCWmq1>9u`K}ai_G!B*5?44N^NnbN#*B%|SyV
z{k_DtG_0!UUP})yw+3+S=MmVRu_r(1pnVvo%ow}-Pr6WbX8_7r*g7lL&ad75Rs;5;
z1YiDOA>$(ll26JmPnGZvWOVSV;?I0k)}ecBlKG1knW!L=5I4Wv82!s`3NKgE?o|WT
zHu`$7^aWip(G^xd(I2GFHY}Fk#3ElMRAz1|f4#E7v>V{{!F2v+E(uNdYWkjQwF?t>
z%-6jIF~zlu*6mUpYL7(<q#lOmx9PG7o0SAG3=4IVcir?>d{@_nOujPH<SS1SewDeJ
zw?US1XZ03sv<owHP=QTU=BKAsRxdNNXO+#97U%o(ED$+`yJ}?DXK%Ya`9>3R@r%Ee
zo`Gff?awSRcp7FpkE+UBQKav7xbx%~(o$&A(#EK}2}UZ2^hXT1GQKG_{^xnJ+8Cr*
z&>S;KNUjFM7_Om!=(E0(g1IQADp9r+yn!@_1e^4m&ohu>FUxg+A}g_JzBO`3jGU(B
z(hn**zk~Vob_Q}S9^_janc`2vjU_LuJ53x;8?UqD*U~F133uHuR&8Lg!3`lnn$J8C
zgZc@C_zzJz#JtTfbjp{xyrElXElE=P1nkwj+%H<sCi|{m8wlp!)o@D9325>(OAX5)
zN{Uf@Wa|`L%aZDP5lz(dB9hTGTPE(Ks=_sH0n-hdnFH|=(n~rwy;Ia5rX$#A2bhSk
zc-F7FkcoepV@yRw%(k(roH5u?Wb7A|2uIMWFuu(_uzM};1HV%_1{!`1RuUzffbi}x
z7Ty-NiR6*FP~3@+`*{{Lg7+|4G9?Dm#>R{PhTSMlW}W%WWxYg2@%uKzDx@^y8>2qm
zZv#vgDk-5id9XqIpJ|8xcK&fqR?VWDfVtDtzku~?{XMp)p{La1SQNO8Kvg@swwFI}
zjhedG+vR<b^zR2PyR-i4{0XF?LffVvL`eczJSTZakQG29jHDH6sJDOom@p5X#t<Ix
z;vif`ODjHDLhu=j7Sz3sMS<_j4fs@zcNpsPa+i+VuFLO7u1w3x&p(0=XiYV>-O-ot
zb{G4a1z1yCx{`!`LU|qZp#hj+UBR~Ypr)LZa^IoFfSaoo4A5VI#?9}$V>SIjz2w5b
z59LW20FEsT@&RXKXP9co&GE3haVVYmH!%gFK+S688VvTWs&nD|`FURum;&3))rwKO
zb8rk+XkaaF{?|ojtg*^#Z;|^Gs@+Q44dUS)fRuLpITn`2MftQp6BXhVqX+^#N2l8E
z323ux%&Yd`{Rn~j4WM<1!EAg6(swWh!dMDJCK8DZ6M&pV81}ZntjFC76u-!I$X4>y
z?*Vx;Mt=-0fWUx&&Aq+#epDw|2Sg9%t|fFYG`|J<TrTCF2qdbFjR`@E9B7fiG-tW1
zP6#knvVg6jn3y*d*t~wN0O|r|<$g>uDsVi-Rcq$Nn|R0NGES*sc>e5URnK_TY#LKZ
zQ%bt{bZ5ju8WogkhY>B<5vX`Pm#15VO76K)c=eOC!aZ|wm2cv-*-bZSiL~;X0}qYZ
zgN427wIqn?`#BTjuJgweSxz?vmbL^{mnCbN)Jo`X&xy%Dz#d7VW2?$_40zOj$F|Xw
z`0TyA!x|U*X}<SR5}OaK)Ed-LAwD|=HJB#Vv(`#wXU1n5Mo9C>ZQKs}P88UsSE9Tf
zb?-w09*%RnDY5*QrJTWZ<!z&{E!-oxNn#3BJU%<dyrC!bJ(}v$CGy#7Wm^lnI^w~s
zVz;Zfq;M{mbNxzOEWoNOy7kL0+}J+HLm!9n!Y=8a-FB)a7o$(<gHPXym?iTSi6@`z
zY<Lbo(<?R0E!T>TcOH?=GuxwhqPQQeC6~NPo<=(89Jt(p3O<9f@mY;;UhENjjqkJ0
z<%I~qCHmH>OUEj}(tR^qsbR5JJm+#1Z{CC3Jf0qerwu4c{BxoHR*^Bfu}1H%scF1K
z=I5{e(<D5l4@+Yrk$B{xW5>K0+W%4RizeYi(QCY%q5cwje($maLT@^R;}P#Ug;z;x
z4NFJ9^?9ch)J3axDTVX_*`$CUUMntFG}~YrVxKqL7msJ-NnZ17Vad`@tKXOwSVGl#
zT3Ns6V+nkYZ`PzwTwp67F{LChtW!_)$X~iu9fB}7N|&S{8VGEOx`?Qp<~-UBOnv6C
zH#j?Nkxm<`E^hDTbM-s^Iz!%t0%6*>g3io$lw{21zEHf%G|FQk*6>4q`H^qkWB++v
z{?6@gFD@JD^uEl?gr=c3@3Z5+Omke<y{Qqm$jL=!GAX~x&TuV0(ZqyqyR+by|M|ei
z`x&uW5dNJxY{ttiA)tRGQ)&{9i>KDA>}{v&UZrS^Cc#~^3FrRQUZjy3+Ze)K^a`cN
zb81BTR7o{0D$Qoyn@rry=~@zZx<YJDj_gS3+;^8>B{O#4xESTf@yX^YkLC+v1<f4#
z7`NGWk>y$kU8T}|rLK{&uKG3h>Z%mqi{zCo`w!*Af}$yMSeP~~f-Xm+mNTWPl&fM@
zJ-V;F<Y%L``+leFb!-MBU(X(4H-B`1W`75H;HrW=Vcd^SUqW+2mGfx3<(kN38-jFQ
z&NyUmjTBDNX$w1BNEl&E4*v}yuG$KDrO#SyIL~YpxPE*wH}XdT;R*rS&qM0K{)pq#
zII)0m#YE``Rd{xGbU?2?v_XYql&wI^J@mt$S%TOvFvv(|6c-e9efe^Sk1smNZf!Jb
z4oumYVoNxFMn31E00#*;k_s_tGw=@q5H!65%fJr+&NVcGb9&m_pMb0$(<=<|vlzW5
zdKk9{!|Q>N2AE_~&bN@>6A@tx&kgEZkcN)$?!713$F3K->$1amIT$Jp9mjr;i602s
zz;mOesK{wLkVAgQuyQQ=CC11K`-24}(gI+54<hQoGz*Xf@WP{jH^S}#IOo>4YI1#y
z?-qlxzuHl1)pT;&cRmkpoKHWX)f3EFhwx@#MT8JOK{%gFOSi*;8+xeOAX^z2bWBab
zd-Vf!BlKdz(n^2p7Gz4I06Z=#+5{=_WdZ`A5HW6KKsQ<5dvir6C1Iq)@b(~adk&)G
z>LBO?Hb!uDLzMOb@El;q=!W-63-8l>Yjg8i$b`d~c~~Ie80NSBlr#^CuASa+s;?O<
ze@WUPs!{r)lf>Pm(Hk3(0CSCRh1gJr<^_#tAGlhcao%EJkOw{$uw1Bk!(@a*OXX7f
zd)P-_7#M(A2Sb5wZOwAkL9Z$#Q@byIP6O}BIDBG|QiloP*6c9m!I<a4{r%v<?1NJH
zbb+RUuP3b0@F-~Ax@uzWVhBeBTUe-MDHvONl3Fsj;IoD=h_bXPMxigcds%8@;@j};
zJpHvGR<364&v@^d-!e6oVp;03KXaZm7}KMw{XT>%IzC>e#_>6j;s9e9grFg!TxSog
zca&?B0)c^n$3q*C+!zxT#oK@#!rPBqGtoo#Wy$WJe>#Q~#xG!=i|Dq2Y#jFsK(V~M
zW+yT^8jiP<94Ae@Mj<7>*u$-mc=h)oXBubv*Uu?TmYq)wG*{@Tt2-R6RW$rG-nq#B
zR|_!d8d407oju+)tyxGmfb7FxfUbbH3$4!LAuw*ncc&GYq;KhOVT*^_3+`690qSw?
zfZrJ$=_eq`2(p8kw)zSUPB<-L60-RcFlHym344u~<=)f}jQA3ONXHBl<t=z?Y*>^|
zju42=Y>%iGLm;kw@Ay4<U<H7jg5RMX{LoxkLn~vmU7IU75$#|~$^>^He{@=H?YM+m
znY8-p@%kfc>tb4ZX6C#`>W@b|OCN#EVEwMfpHJ+ALl6()0Z=@LF^9pG2S-A%8@(pu
zdJg9w7z(U)mBzdXYLA>Dl@b$cXh;kS?jF;PpMJkzh4GC=?X%NbGtl`xQva$ZCT0lg
zobEt+IedNia350BTZchtpzF3Jaq^*x<+IPa-6e#NF;7QbUW3QSr}xtBPFSk1#g7Gn
zndUY<{VV7+hszRz1CN`90H6Z(I+)`jd|c>VA=?K4ia=_v5AL;Ywy3DI<KRDywpe9?
zpsWUWm{ADZlajg19{WDCrnXbU*}ojXU8e84jZ<ZVnt4a8t{R|#67+adhYbfU9$1AS
zcHo{XNJ23AfN(j(U2m?dI|+zqmB;A`$OkJ<SGMjp_YgoNC9H_>H2^ZjF_J&O0ISx%
z45_NryCliBFq|2hWZeFqaKvW~NdZ0$#SoNW+qgx!YFd~@EaI{Qxs9zDZ8)rlL%Ob^
zTn=C<g1fxh(CMW&K`o^dl%|7?6TTXb)`eO%L0wtH_WO>Q#z8^2MPZ=@D9+dUGQT}9
z)~rl*m%qosvC&5Dp-MW_iy9gj$l(a364A;Z<ZcD`;3zAwa?2FQC4#3qI{AZO0~?m!
zA}JFK&CWK0pmSaLoRT0Evp=b<!oHDiXRQNng)05FOYS{1`UMa}YgoF~W5GT`PkXXn
zDeV?fG#9j=g(}x-4n@iMW=Ul2ySUmscy}%8QV{<Iq+~Gdyjile;a3|yRch-c|5FmC
zRdPbgOh#hT<#&XO%I;6-NiEiMg-;r%H@cAkzQv7nAaD71`SsjGERv^v#|&_3LG>Im
z;85oved~&}dGL)Xk>u*lR<Rq`*tef`%t$e;i7=lmyd|ScRAA?h&#(Oan8HCg-xrTw
zxwpIj<5$!9ajr6>3#4D81Jo}s(rC$1y;r^X@yrVpg~I&P*-zhFgP3K6ZJ+FmwobDU
z5a!8}Y;ivFE_k7s$c@jclrG_L&_DVifsW!%DpwDwbBB6>l9h&n(ZQO-3ywL`V5#gf
zinL`hFDGNukL!3%Meeh&Zaw7)m&!+16p4o=JuQ_X?m(;0_={xY8nC6OmMhz-%X{tD
zyi?liOSTKIy07)TFPQUQ+{4DFtS>8=gDAZv)^2l4gd_@C&NXe|@LCV&q9o7BnkN~X
z*e5NHFKf{Nx}`Lii~f>x&bpo9aqek#er|-v=K3we%dSbr45b=BPBjLZQ)qweej@eG
z-gKy9lhKRKE@j|u)pRS`)a|;kb@4S}%2~051}8`P6{c$5VTDZJC3)+#5=q~6v<}j$
zh2fZlgn3r+9jOW~QYr#4zyx&bQ+2ko!GVjUeYF(&gy?&bG=ltG)upWLII4ze0o3sd
z`2Wz}^ytp@$mum8ww-9M@97E-BYahCYZ)EPW{Q;%oBsrTJuu0@(Owz(2)%5t-l3v0
zkwZl;+?62E##kfC(Wc?GLw1qJclV#kl1MV+KD{Oy9+uI$9UJbtH+cUj|2Vnk%>CMU
zz*Cb;v6MZiJ|J3!R)6(6fl-yO(ojOzZUm=)7H_ax7jwNJ*H!zH6_fO$4&ftx@y(a>
zZjZzDt7+YgxdW^5OAg8oRTc^oZE{Dlaw5kcxx^bRMca*#B$Od|#u-Tu6A?-o57--9
zmHVo@{Y!~)r7!a$)~w=9GOky9Mlh|U3+w4UcRG1qm}NG=<dCp=d4kG7hv<%48S5jj
z7^WMjh+h(t$_=ECy9KKb6?O982h!CrO!ht0%amMUA`V)h7IBEf^O+O*P=#L|NJvB!
zH26l+cT%BCIBulra+z;9xhnPpxt@07&N>>+@wK~?Vu^QI7G@G=TQu*wO4|`k94yu*
zRG^JdH$M2}d+DlAL8Su(=rh)3Wi4Q0Zhc-8|InX=O$NLhwRNXP(fnli$3v^IhG4uy
zmqm8oR96m~g04yNH2nm`6PUl<QFCb3gnV3BC%VX7VFbAT<y}27ER~>fm^ZpEs0?&5
z^@5{tM~}3tHYwEJ6$<YS>%$Ny&J9dNtLCFe0spfv`#~X=v8*h<{wfTHnCb{9u;@1Y
z0h<sQg!wEd$AK)c4}ai;!_~U#a0G_R;Gm#YhnfkCZ0ejTmlZUXhzlsjFj6iU`9O}w
z#Lf=nF$BH9-?%^v3(&j3D5ZWj;UwGM-UcmUvH2KZM7t^iQ42nISZTG<>QA3efm5f<
zf(6|9;HMG=WeFg4;M~_xS6`T)$9PX6dxn>nR}1X`OEUZW3gX7U@Ez9u4Cq{d;tLm7
z*96%t@Zd;ENv-T2f?5uy(iKcpE-b<W5>P*ZktDVb!&`tV8JO18^HCW!;8g`nQB-0g
zLPG;Y*(Hz=?C0ydxO)g600_)xKw1XYtmUcVj~_pRL)HO+2@u(1<KVzgVN#4)7#Tk=
zVSKeOw;zwO8MnZ;h6w`(9k`^pI7m8RpnxnI$SoQNof@!JsNNyokxBJ)uRqtMz)p0u
zzt58o3Cv{rUgidWG1$A@Ah(2>vmUZ*z?H<z#>PvA4<~g@@C#%J!Q<!jY|P9Q!w3c+
z8@y<G=xuoA=?1(Q?DH_vRzlClucM!&BqRWuOixcIi@0WGW(otB58vK=KMVqNh<71j
z(<%e83e3lE-n_xY%>bDXTbl8%I)*)h-58_Hhd=A;Vj{!g0FOY7!^s~G?^`eh7?xL*
z!_J*#w>%KYwFen7{1wv>Bi$-`>OiUayNT_7f_{FkZN<e@C1t1|QBfIOf*19)&ZS)N
z6$k}kh*ismd;oStWl`grNZZGc`XEVwInb;>6Vp@=aXHgAV7c=#WUM??hi8P=W6YHx
z_qD~Oqz-+CZ*$!Ms78nuC|~yRh{t%d%=P|$gr1jx@min5OlWXU(N=djNPCQaiT`JZ
z_YA|oRQwnH#wz@$u=nY74C|Ba5u+5Qt7{HI`m6o)$5sUY{<No1@i(DOtg?U=^Rp07
z<AGM!hKu{jlaXgQ^`Q-y_8pF#nF1o;DzlJ!``7`!)Y4^K5y(NfY^TK@+ogv1d_JJ}
zjwYHfJe`z@K_x1k=s^q6RfKI`J_129OIJ-8c(i(3*{`T35($bKda&^3*uTZuMcIB2
z4T>yM^k5%eYtkUezd*cAwUic#qHp?6PfsF2W&bdzP$fH<2%Rc()<EXL46($5TIf+k
zb%+@Q#ZHm!ludnj(t7^2Qt?-tpFR}jC7vFo6^Am-?GSLNp^$>@)MIRqlr(w^lZc&N
zBmx!;UPN^$)AlkgwT_S5bWju1*H7QClXNE==1BY({GKDaNTAnPkN6asXG}DQ;A2r<
zMy@v^6df6No2q^^h1B@j5$_En>av|(O9{Ief(vrQ$XFkaiqVNVM07L6-~W;}D04#N
zC0WO4!F@5`+lPsWja#B}z^q4E)3_K{;c(fETcS&cC#?P;p_GriRrk2|4IaHsvr?Bf
zdIXWW&l7!pPE0c=r7Ta8?}0%wZ@DOj^<r91cQ<)^`g7?YC2^K)iqOp>7jG0%Q#*Z$
z7mtwNxpKSbQx|S8ygK?Nz&`Hs@)l|Tm*B+mHZP-l)vPNriincV#`G}dlIT?70m*oU
z3pS%A*$G9=tg^m51g(jPYox|=$q^Brk`!MWUdQU;d}_a?5*D7ukF=&4W2B9He~qVi
zt`j*p&2bnk8J(4;Sgbz8sG7T$y%gZ*DY1|?62(Aoqf;djlDcEtvg|@^KpK3}pG1h_
z1RFd3fasBydDN_O(T-I_2o=#sq)LqM_XroeE2bz9_wZK_e%ZG@Q|h=W<<;{zw&K8Z
zTO-=ni7WV05NUixyVAxA8b900`7~nS@lH*<RyRQ3E*%bcA6BAjR^`yyoF%RXo;mFD
zszyA4N9~oI)=agfIjC`EwwG7xRBr0$Y8bq-zaDh`WqGV~t}RpaBhHShb#Hu)?b~RE
zfvR6Gj;RI0+psBIc$iHH=)Ll8re}yZd=Zqu3({v3^0@M9&gyJ#?bGKz)!bP36RhjZ
zr`tlvRp1<?hN`809`XxT0PyozMx>noTf>MYcynkBCz)$u1-`~UP`^HV=FI5Se+*Kp
zTID7FKeUZ!SO~$!hqIq)fpMY)yZuvzWZ{vL63Ebh7O#hX`QKd~h7WgjqZwbrj~*d5
zb}AyGfhCf^b={SITQ&3g6$9GeqqQEq^dzWt%|WAIgaC<bK3tTB-2z~+?$qkCbJL$i
z0ITpUJlk!ke4?jEA(8wW#%kKXzh!*;UxNDM;N{6br&s8d44o$3H~ayn-LM-%U!NBv
zLf=+b3$_lcG5=+}t-g5@xRnBe@(6l|@^fa#_M@+mEc7DZUft60EK(F@KX?AfrqLj8
z)_c(O8-_;q?q;Xb?l%=`CsLppZl<rBtSKhye;DuMV~;3$+-)bFzZ*@0o4~gHb_9V^
zd}Pd%M1*T=BWD-2YMClgk~->c?%D6|!;`Rm?i?eUH(C=#&ztU&B)NR$jQ#m?t&FY6
z?%S7xncZG6b;!1~7hQc~Vi%c=$FRg=KcvFMt^4lhjF^iHO@t!fHon9Ka+BiGs?QBi
z$w+NbW4Tg{w$izuuG2p(ls>~t>T6KZUgmWBpxtBu&jr|po78o9pBI83m*@m?B}oLm
z`y^Xv7&0-Qk4O5|T;L<pmkNh{-z89&l88e&%r&rQnVd#&7NO2WYTO)d6O``Vge#G|
z@$*F>v%!Xnp{f3qv30xVl~f0$?HR^V6kq&#vwkw%rGj8o(5!*1nc16kCGk2j?a<k`
z4|GfNaSV$(R6|1qhm=+}rZk$r=YE;xd9#>vUm`c*nnZHfs*On$8TSB3Cg<Hpve@*f
zuM6=~p(ueMKl2A(R`;A=Uw?e2TkPCY;2HyMRqCe9uNP`VJOSm(_zE?00%QE`AGB#J
zt>!e7(+gaJGE5ZncU2d;;+QiDXbokR6?^04wik6~5S;r4R%sgImh88DBdyc8x%}`*
z=a{%81#B4{uB5zL`XVv><OyB1$^DQENAgrnwKv}dBN!_r0*T&7;Jps5k~T2hJv)<)
z7mgt7`}hg_ojmRE-daqjZz7l7?qknIy7;b(@s{Ai6|21eGO=8S=r!MkZk@TS&o)V$
zNNpBmm#=jo>!ex;@X<`g6XHKI492svYg|6ba|lFo<8>o0Y_QH&Id19!UAgnk8&yq7
z8bX}Dd@>V<$cd`R&{4ixX|+&7hFwP|vEn8y(Q&rD7!fcKoc8MG7lp6vU++aoG!L3j
zh*YMoMJgC3us-)|5YX~9wh#UM>;j<=d-Kn?jEoPHl7F&SsM^9ZD7YRz=Bx3;C7|`t
zRK~!%?<o-$Qyoi{6`!`#$++_sJ|ar-=Vh@Y@*RW1f?}+MWpfh)YKv)A6M8OJZiuT8
z4x+M+!&M09)0hI(30h+(dmmHe*6PtQ`eI?3<MM5?&87KMK_c#JEyTD1H?)2oLIYg-
zAJzwPZP?W6k|0P(DECQb*Vb;pIxst%BslY@%Np+DZVb8tQwIi9Bq72Sqvccn-SAWC
zd|+{a>c3|pYO1P$ah0d;!{kD{?p|0P`uB$aYz_Jq5tsu32FpaD$_t#Jps=*}$?xx{
z>fg^U^j=8@FcA=^PCY$6SZ3tD8-{R^+_;gHkZ=UvzU~y!DXw21yv{<}&19*O0%)5|
zOmZ6<JjBGBbQ~vmVOGw`$>A%SASZaAj~!~xKK!936hpO`2A$5A`k)Pd(??iXcE&iD
zt~>24Dz!yIj11U9ZV1{f0=0bviqC`34=-1BzTZ3dUsEmCjd;*vbGN$etzwL$;MA;y
ztVwWVK<VKD93Z+3e*j<hP)uyS^4lfHgpq~+h$XC4xmZX-fFbqOF7*rrtYi><#RUUk
zTQkO)3E*ZtXtu%L4kap>*AP{1=k_0YSH`kOQG3=SBNd_#wblk#Alvff%d<n!*@9KQ
z0W2@zbRi`sM*8|9Ug_K*H=BN^R#GBU^$cCc!cP7;^7gn1?<|KdgDo-X>h?5Y4cZTn
z0&S%4%u{mr27kI5%0Pz|vu3IpXGOx`L-D2Ha*lZcZb{pf{6U6uabo3!*hmec@_`{1
z`#egqyH(;YvRTX$RQ?Mr9J!&lDa`2n6BmeHydI+zB=ZwPO}gey(>zT&w)9e@KMJQv
zSBL898Sn5AuD!iIG6{*^@g-Id=|Ci2adA?Wl~mIUJvX^GpHzt3kl3XeRfK6r9HfHu
z7uuqyMnml^eyLqx`A%MG)xyqj*vTM5+GIcL*?#dN62X{Phs1j)dv)^On~7k&k4-;q
zXN=o9*~f`&yzuVvx>jwrr~Il^)Vn<IjsB|9rx~mx`$<4TL-S61H?OtV^S5VW&)H;k
zGf2g$Bho8T!#73zo+TB@sHaiAB>JE#b7PJoG<){y;N&eH+~tQFxS4z_&vTo4yuBqq
zZtu6eZH>Plz9h&q|2Dr}xNcILjIQm`*+~^SI-X|Zs~LJZZ<11fT$!<(8-9UwF1$vv
zz|sBn(<st>SLf!?rQ0n`d+F(Cs-AJH1qr8}uv7flpS>28M}8y`pS_dka%QS%LR&YJ
zVXkvl5}B0w*-(^YE%KUtAlbx45q#B&svo3PR?A->(PReaq;BrdwBfTap7o_KE`AV1
z)FG>PeN0aF6}5#Ri@C~POKxck?$JgST{2#y&GG1*Jd+Ch*FGf|lUn0@$d{+?GhMvO
zqK6XUHn1WONUHcd=|u_3Pb}F<XJ1>$jUi^1$Qab9ZhB7qlH9q!JwQL?V0oJe+eEXk
zgp7ol!JHzEsCT)hpdgWOWcXT8S7YPzylm%HYSgT<OZ6j~-k3+-18=&|vor17Y6<>u
zM@BTU`&ysP#-m~iWyhhPM=$P>X2~tm$-IcM^*ZBeR-ap89G3AjERj&2(#h6W%=vj)
zKtG%43ofg=P3Zk&eNqAuY+P(?YjCcztlRwx(nwHjUneHsg+okF0zb6&1aPVA==_4i
zDC^VuV^H1O+uK7MksIjh;DkdonwYra07e2h%^kxD958p_P=F)<4$Okb7dd|3A;6K(
zTaK0maz&@4yqo+0$Y6n1xhcTjK(a!G=ibksufxKq?zv$WGEj2o_FxXzP<C})$e{pK
z={Ikt0-W7&&}|9DFoVn<ew8l&-MLt)n35oH4ZPQEo;rVrn;XuBJK*eFo2*OV;seMR
z;BMuG-|-mV!P#NA#aRVxk9^9#3Bzk1P2h_-fp98~ce-^@S+g+uM49%4r}wmE8Y1Jq
z0_F}n^NTW&9?DG-3Q9#F;RCx3zZfq&Hp7wx;B$(;VMbpikVo(YuYie%GafDhfq9`h
zx@WLH=<ldDEtrv$vv>+^+b%!X>)d}Gg2Mt{@x86)Yazw(KlNL!l&?khhM|*7_towo
zhD><z0$lEVfQ`R@j|t3Wh{%<mhgQV7nxEi6gbZKG&{nX?VJcxk;RNzlM~SmaDk`Or
z$kM6_-H~>7W#8yC`tAbF1drzA;?k2Was<2yJ2NvgBjYgSq5=;Etd~Yx7g#eO$rO|1
ztEl)H8c2bTQd3s8fg>(NwRD099e#Q68Vk|(r}@+vwg;*&C*Yq#jgXdxIrL}gztYmU
z{rj!1`M@0P=mg2DmNjedA@^$8ZWa{_pQ0!~zayyVF(O%5fx*K9uJuk1Kmgddxox0)
z0-S-M+})qpaQ}`t07<4%>4>1?dM$`MEhd`t!!QSG2)MPVnvZU35*u1`gIpT00Fvti
zT3#^QkGakuU*PiP*YL?G#PbC914QBv8CS5637j0?13(6HS=e=|A)!_Do^EY0l;-Tf
zZynUQcCf>`{#@6A_XL-}P6Zn9{Caa~IXMyA1=)n0^-u!g-)}7yty$~D1;h?~*l;n{
zO;})@0VY3tq~+zqAb7f?1HySce-OAiIP8Ikf?OYS4uEe5hJ+--4hsCkw{#>Fe1P$Y
zO5Y4p5#bjei}@W@+RV!^DCB9x*t=yz)3_UW2ty!{UUjtY8f-c#P}m05<r-)$B*C$L
z*o1{qNF6*cY}x1>K0!g3nXiVzntylw!i=F6U?PbFFJ8QeAcIJS>PKQ?VsOaO)lIhT
zhA^OO9%2VTxhXzP;xTy}Ot}x&Ay7pPd3hZWYzyp_^(Rby+yUMm#+eh5x3@k4XhAy}
z28N*MdXtz~3)e2tZk5k96TAuBTsbYq@9t9D6h@<`%1gxlT<y<binwxRW@aYs(atXM
zlz2c$2+#o<X!ZFv3L?0!t<&IUTh50i2iRGSLY^(9WDtx1;RQj}b-E1zukBi}&^>fJ
z`4+8hVO<!+C3#s+XsVo;l$1X=5B(o-_PH>pp%hP$B5cE-f5kN7y9W$IoULwdZWJoB
z8yg#LXP+u6S^<s)@o0@hLyq7Z0tjkZ*zT(C{rjG_u4MWzUd-N!4w5<~zWY=9Xxbg`
z&&y8*LH6_q$P@m#IuenbtgEH9ys?q;=8e^mj$=1;?=drXOnjYS+&?<H)0&r;x9Z^P
zqy4=8qh$yHQSc^U0)g5AOSq(g6(lf(FhvAJ-YoZa@)}>&XNA^-xv-0Tn?uY>N-h#I
z(t%Ez67PPhBTBSdeiEDW%~K2c__S0J?HxAwEEA!;eO|rTqF@KmRx}Xii^sn8ji<Kt
z*!o?x$RbWI96LcYk@$36w_1sSR|zqRgrVuBk#ENLQzmH;oN;+XBhU4Hh+-ZII4k7u
z&WV-D3PkDN3U*u&vnZ72Yk1EkQs1wYv5IX<r&m5o%;ZqBX>{MSx>MXR!tTnGN8L2N
zIZ2XY@)p0ITs*`=-In%|P?vIERDR$Ud;cTFYnIT~h^kgO9f|C7ho(v2=M?qj82UIY
zx%$32XbX_~?GP8o=tJH2k1!Cz;7{C;vK{O&=fz=9l<oa4rW(0v;9w9^b|(z4t+e^4
zguU(z;%<z6INtnO9GjV=r_CQV=30w={H-3WFiCc#;cv|i!Z~S|6St{IQR%4ahos)@
z@T6%erLPM@q?N5CA&1sKEi)>{*Lh%KnOZUjmzT&(9-pq;w|m`m7@wT=-o=PGwGL#$
z+y~J(^$*Cthb=MB_NYn2<N_`)i1olu*(CO>lCz|OFgkbD?uJdcF0cC_*&Kc@)yqpU
z;te_HYv_0^@3v_%F{i87+><Bhe}A0;ksbBIB#j0aSE9Go;aZ0F4dDU8BzbaX$*88*
zRQYU@q)x(&w}<hw59o#%aF1&If}W}xr+;d{h7Jz9V9Y&#`CIeDWNLGn?@jw@yP|!F
zH#qn!OunZbRTkgV%p@M0*ryhX9!$AO=zkPzsg}lD3~;|9rhv4{YMjyze;&CafygPE
z8hShs^_0QXV<+td@rkeFqSPf8*I!pRR_hNuRwEbs)*gsm=6bjMs;+X{z!`;#IAmE#
z-^UI~%*ailk!Z+HVONe!AGWPkP+VM!_>8=2i`&KBfH0Md!i_jH5S(hpIzgml|MT+e
z`KB3sE?0j?l3feNyS>=eofIAku>}Jefecph5fLtd9P*YUwqAHfbQ0f3O`ACq8Ekn;
zS$S-NBOA0S1djq{N1iXOl3!yC{vyb7j-pBLAKgqZi;5kagG-l*%rnU!zIr+O4>{ay
z0HWVefgJyT4+fvp0EXE}IX%t}rsh1aA#G;Hs$Wo8xDJ>uFzP}1u<gpbyK^ux!QCwV
z`0*Fha&RcXAxBnUz;$P_5ec9)CaJbcdS~t!z;GBQmc;1Bp*7$S2vd1d<+MesUjRA<
z@MJfEcmNZX2GhnAxY<IuN=Lv@y#wfd<yb4FH^dQaRjeHR93zG*!TMrv*eXFUHa}$#
z!tHtAi`NndxB)M5FPOlHcr&G88(oM41N^9g;ZN`X_6?olv6tFEMKzc)aVLPj015vC
zRBH0^JSMRBU@}i&aW8jR(}L{_)M_AzE3^Ojk3K5{10Xv{uJ_<vgP{Ai$8bagnV_T(
z3bycd2y}$a!PUtLqRGqJd#kX|pC8UAocyZ=`0;Lp4JI`R&{r}7XSzpD_cKnQAbhyq
zgM9|}Nd6qq&-HJ)TAZWY4-<oFF1M4%nVIhQ68Iq;Ggc7XlM#X76=;9F(~1#E13JI%
zFcE+W9*5R%5aK{CE#%CZ11bLG3AsmFU0$Bdt5pPqw!sJEesW;cIt(H{m)+&^2AV}y
z!5(-mBQSS?%LBq$L?Kic4uTK`z{18R;<mpDWIUYs+F`_VhJ<?;I4x>u@B>^9S`~;j
z%dV^(HsdpT@dEy42~y-=2L_sKhI={Sz_4+_j87X@eb|J94<KQ!e_lSOKJ3rg)2at%
z7kHRvGMHm7LvC?}z>p|__@|HrBm%!@IB5!=L>GQpf<*iyIIYKb8@3&T-5#7O2wkWI
z)W2MfnOaZT{Pa1=;5y-jaT4fum}lT<I_3CW873x}{6Kzk2qOqcLV(P8u`E0}DM#)0
z<ts?GX`rXMx4j+oF^l6>r7Q<R`+WhwKV-zi$jAU&t_0!2>t!U6eO$Gal>nJ}MZkAw
z^pR0e2*TtBm%<K+CWv1yP1YTOkrVP;i(vqUOAsRE?4Z#eVsl`Z0lSV`q8BwWaXHW-
zpd>1U(Hhh;po(;;5xIM}5-xR!T!Rtn*~;iwZg9uksD}vx6Ti1bj^6_c2Xg)La`w7t
zc#jAVV^BXH_p{>th6NXI=7=WDN`mNeKcf%Kv3-4g>wIm$+%};r({1yCPt5+qg-~L%
z&5J)U)sX`OI6rPPFhEtNa#Eo?=Lp1jwD)%M`$=ZR!CQelSf_n;W`@i9U!H_7uC&oX
zz{KpO7lGSKkwN=gNXp}N7&PGKb-4KZBbt`Pu!UV+vaQ1)h*+`E#xg!*Hm!aBg!1T5
zR%zP~-1&%lw~?*Jeb|fP5g_MQ$ne{SQ|10ck>8J!s)pIm!Rk$>53&-M)#A2s^GjHA
z0Cv8FGJ32NiF0DvUzoO8b!+!gF}kKjP`%--{p7cn6>I+~Oqo#HeFC)~K8-~ncR8WA
z!V=^j{!qaWBWp-8xSM`14+dWa`V)w&oXIsIXc0T07swy{s%e;T%$GHxo>3W@FlNUD
z36d<!B`+5r`;NADeQM`rVqdb;LW+>&D;bC5E_LU;y&619mGt_;L_vXai(3Ev7#=MJ
ziR5v_{9^)BI%<FGi+fo5lk4ReKY0okBapgGR<(U*uuuERei8Y^tu3*%>NizG7`u
zx080zsx}#dVyg}>asYUUFkj6q3Kbr|HMM$|!!+`j(DBk((p+|{GO;?jufg(3nOmIH
zu>OUs58Fu=KOzC??RVxzd*bo8oM(y5P9gDEY__{{u*Tce<8s@T$sBKk)wJ)t6HDHm
z{ou%B?moJ&GI}0%sy9hx7nqS^<v%EWXy0_a<x7&MD<A9-?szE3ct;@Od4ENHWu>@|
zWMS%_@^FHz8u#l*Y0^GCLgb2}#i!50n&eH1LW3>qh1#%fBpy6KiUHb0L)!GhR}p3>
zwV+6bw1s>f@i+eE%;n4O6@xz`ZSw3AMHu@eSa*LF;(JO4s|J$v-Flc@kxO!=#9vGN
zZrl!|D&l+O_2gS`)QE5Zdng;vD+&rp3(HW(2xjeH=tQyvuYMV7xZ8vsUpORK>3z5!
zkf@uZ8}xDd*;A9i#Q>G1bQ&ISXfeF6{BZA>Ujgy9kPfLOu&cB~)xk(&-+s~G@aU;L
zG2>2-hJrl@zh8Cm<xhPSBn;7amS1)xMyX{nqApSGW*Ts-*?3iZ;%8m-Vpp=x<7v~I
zxc&Oda(TkS{q0hhdepK*B2nGLV)1-|-CSJ`^&pWFJYzSB_IXbp6;vzkOdJM|-U<0^
zI}=k%>)wP<YwMI6;DOFA@seDcDL$J)#5bhP=#Nug=4$-QvDSg=>eJ<Qa;Ad1o0iNw
z^`Y`-dWx%Rhs$q(ryW)R*g#zB+@a<aB$4ayFL-8QAVOit2Y}Y->%U4XEAQUA1=gCj
zP=?<(zm<>T|H}vs{}L;vGL0Y8+jktfZ#Z-KVC(mt<{2glQaTx#4xnEl?uXxOnA2_F
z3fwE6`Qx7{_k|#59!{VZPew3@^+K+YVu&vRJ^D~oBAg8MSqlb#GnQD>hrsq?w0mr9
za$wYeEdaJI%nLTOdT2QfCwww}Kn{NF*zFSNw#JT_!I{=ZSo35V6CXd28!>453cNQu
z?HG6a*9`@<@$XlMwdOY=H{}J=FKQr$fvAQ2O{gvrfCA=<*njQ^SHW9K1W>~l$@^_+
z6;{RGSgs5>*rSbo8X8W)uJfh8AJLTp2??v3EMI?56Cdp5!D5dI1K8ixgY6q=d`!Oo
z1j#?2&5FD>7{@XBsgM%4au9Q4Y|^3i_bagyQPS2Hg6BOsS^cv`dYro3zlQ|9iuH*1
zJqPIdZw~n@9?k=DyWaWOf1%M2_F>Tc17Qy_Fk)1LBoe0-!zV*@{+cl<R`*%T{k>^O
z-2Ay0O`Y7`t``E;Db<6tzn^m4uX{b&ar&RiuZ?iJ1tmQ2`ic$X&<O1s6<;1NkGO#M
z<GXjeDm}YN3q57hrRU{ar<C6IL60Lxn1AG4ytFs(EvY_}57-QVm=`kR@bOj{lBG&I
znZ^RiBd=0YHY0&`RFmq?US8d!VAm{gK!#I<Zog?-WUNaUeC4^17hK%jfxR8ojzATC
zO&g@hZ7Y0~%U@n^((%|pQ!|H}w5x<YFKPRYVMoT-j3HMRb^!;L_BkFIC4RR1g1&jd
zQ4>-(M$a7XTnbkk(`kR#$9z<n+1!L(B9P`E&<mUl`&@^jK#Wp4W6O2gxrB`#UiA$S
z?;tpHYvm?8JDBI2&gUyIo6?lpvL{sCFJx!TF)mQ1=v-bm4mo)xhSbW)5tM0t|E^4h
z?)+nmUl*?SNj%iPK}l3`j(~uIHPS!tQ?(`oZ!k0d1D>$Fsy7kZJ=ms}K!0B8M0z)|
zAOgZJ5Xy-CLfyo<V(%j6R+LV(yO3JRj@Xycl2-{@`TPbP+XMqu17(O2&GP*AP?EUk
z?;2uIGaLmr*LRmMqV;~bsoI8jnwO~ub8R>6Xje_6uDsU?_cInjzPHI=9O10<7gMmv
zWsHhuJEN~y>xCydLOX<BX3xI4O$MOoZXcN{hqS4`3YH3$ck4|#(&7nkBIkjKv-%;q
z%W9TNIXBsqd2*E>e!?=nA`rAX^hkt3g`PCAP&`@LHgv#DE!Nc3J^Ri4fGkCz>XqE`
zP9jr=(5LZrg9MJ6^Ya8g%Q*K%3I=Q`(0N^Yd>KOL?X$tF_bq;1@)Oo>(%A=W>9h2C
z!n<)RKQxJ$&dD(>0lfY4+r1?bQ__P7w|dJ{diKw<={>S_arVWL_^HRR3BBW-{?La&
z`dtbJHbF-xsRoTTZHl=rM_`u*O5%nJrgsWvommV35c7vM!NMw(fZ0VG;t>HwS&Z#3
zxVG_^yTrQ0_m_!vKu+diVeteTHte1s^@hj?V<-`bY1Cl(^Rv^EaHCvmgnfI>A*N^N
zFLGj~4|vA;=b*v1FN7J3!jbYnJV59Ff*gid%h5+EHI(NlUVuIm0_6ebC?pLG3)|b=
zgaizGS-081+rq-ahkyWOsX4k?1thtC>h2b?nY-|-G$-d%=$|D3?1B^vJxND!4uH@^
zD4j3UVZ+Q6@Q5MBm<%ru$mk-D0oC@>rQkp77Z&0yOq7!tyE#Zfi?z^Ufv^z3VIU|Z
z#7^h6I*YCcj0jeZhSz#8{d%|V#}$_!iOU;Wub>w(bx@>b9yBVK#f(fHa<y%=AVmRq
zz@w%~a=k!>@z$9$wZw6FxXg(>;w&$fD4!MgS9v-}*b7uKu)~DW-X-%GW)b!``neLB
zam(C~JxGXfz3zowy}p`X^yd2P=NBELH<Hg?vk&jhtyHRJWF62}LRM#Af2UkWpw?#a
zu<!x_Hz!a0Xe&3Rfj?h+=2&{AVw*7B#b1Tj)^!n|I7qvxKeNT+ZMfSf;zhLGvTD?%
ziFcco<udu)Nmkl^iT81@FY>^aMswpM_ESr}Y$b={b_AL;*CR!def5y(F;Ps?JqN3h
zrqQlWLw1;VV5xGsOQXwkOHig4L04P4sSpUh>s{+vx-3U@_M^bJrY2VQukjVZ{Trz4
zFw!~kQG#ka5Ok!sB*bJ%xx$Q}Z$&A|lt<|GDR~8rCNyg@<KJ_fWDHTl#*tu^3(QjV
zK&tVa6Fed#mP@_s_=`sN<uBoz%Em!ADUHkCx<{DqETQymZ99okIk=%&?zK5a8#uY|
zv|J|jWX!xDZ0S^fmT-*2OHL9;ooHPdONuovc&9-~>L%P$tEGKAoss!brQ|!j8L@z;
zxvVeVc;m5<=y&PK^9>wH$=VGJbB-(t^v5;7NuaB|&-H{=BrYmrr`F}>t=+|RMJL-@
zuel`uk}AS6^c_-TvwoXzoac6e9;<TfUf~TTnsm>P6?VK%WN-ia%ENX$34!bB51Zd)
z=DuD~)>7Urrrk7_$=s3%AHVhLFd$j&-A13@bI&iU;%X|cmN7|hpR#W!%5o5?x6em)
z*;d*rvIm!Wznp)RrYF`C;qvw8^t+K4xTP6%zU36;R0BRM^+KK4Hh1;%ugvt_5!*2_
z)I+B48@+6{yi-;`KAs<3pd(9E7O#@uE^!g46~D!^wUzfHsK^x(1z8StMARs}4Q_p!
zCGrQ7Sck~npp<U+=hZUVN4;d7%!3F2JPYZLyYn5=&ejJmZdg=Y!rV8YHk+(*d`G(l
zhr?6wZPeH)O;Z2aZGY)OpMfP=8AdT@UqL){dH>;GY7)!qo3%BB9k_tR4!m`Cf;xa5
z=sL|H`<1uus@dD`0yrva{5cgQ<8`{Ca4Ln<Sbn*Hfb=?G#g|2otqcq@L0E=~Z|F&M
zULIi5U=;?3E)bLuOH@}^2jW3Eui2j*JCkZ_XlOWsC=Cutb8`khjX*Slb`KzYV0rQI
z@F-br;3Nlw6QoP+Lu<tTesgm(%s{{9IXn*FO*#9);l>#<*&%Z`q<DNBarrzX)J&)A
zv3ozA79zwnw~d%N&>KB}PODEKJoHz?f^Gt+9cTly;sE}8;NAFN+{n4M+rb#~3kD1U
zA{aPp8;Jve_Muh6qBO9AucWjT2;Cn57`)T2=y7fYMg}u44i3(uTN4u#p*#rK3Jpx}
z9}q4R26dSK1IqMYH0S@}#<8wFgyeXUll^aiH$?t#&rBlM!uRi_)YO(d6kz3n*-T$w
zpUD<J*#w^4CzzA;v_cfb+XEs)P&fzuIYB?CMJtMxe*ca=DI=jZ<@BiGbY-IECy+eC
zaIz~MIfjeG9geE-0l0k&<;P4-U>m_0dEoepkB=`5e+0T12yY=^vq2ZRv@3Ug5mfWi
z^{xOhID^FkM5M5sV=ON~7eE#|=wAEyS;3Ww$rOC^X7j7IB}9%CR97E@M+Q^H2GqxG
zx%i!_(-VGn_8#X!$O)r>R721`LI@Wnm<Wi7B2!XMF>nE#IN?kTytIsh!tEnyxdy%e
z65t~=5B+K(N$e~R{snyeuHN1TnDro|>0mvH3*-6#7f5o77&R5u`r$V$uwlS%h9MWe
zfB$|<nHb8uEwyzMwEid<we{L!#)O0c3a9{k4m^mxp!M+#T-7NF2{nM_0|-z7u~k5z
zVQ{S&K*KOCk?=Y9_xHp5!YD*-3y%S8DjhKcHV5u8OCU;|W<lI|7othDEvit(QX}LT
zaW0T3@E-y0)!Q6Bv0QX;-e6*Ce_q@L@&V{A@5y)n*XuL=PaBa>Bjk+Th1vC=vp5C@
z2H^D}1<%&4hO+-<&S^}?SaW`xb99v`0VnWJg&-Kn_;M)?GIMp+7#se(eVc8~wv@Sk
zmrc3%3eFM^HNRjG&Ylpu4M8qY@duqrpkwIa-vsdR*!%!vcz_=kmy`r@a|4=atd)=d
z$Fze{sbU%(e>->j<ZGS))UN=)MldeHZFbgt8l$k3&HjRYuJUj<@jZ_J@ZT|HpL)mT
z6}VGrxo94^6*xj}=Q8cFsjlv|*SM!(raF$YY2lbj1UHue)5>ogq*Z3b>^&@Ag71=k
z0HOqeazX+ERd723I|5h>d_i4}UPzLFtzXF&-6Dt|;J^Ua@m$ctdz^+3e<dON)DY_l
z*C|mT6x<;GBV6)rF+yg<;$VKvp{cBF2-I|fFq?vvl9+gK`t=L|U`mXZ_`l6LIG4M=
zgRLn-7?wMbI{+eS`fsx{#|E?_+SqJ^Nf#pQRtgn7_0M{spR<}gf5zErC%Dxjkw2J4
zXtrHPht7(ay^2z#im1wKug-~N@yjJvw!S@leKLwRu8Sd&?3qSXM>lV7l&y>mYp4#b
z2<9NpBuE{aPPA04KAKdPBaMq|O2J}(FC(*fl#*vmI+&+~Zon&TotOEA<AF*cN3F;G
z@a@4`p~Sh~@EhW8oAcHZxHnW~ve=(E%Z9fVw=cI|&6X#%_KJVk=fWJBe;ydzT-p|c
ztM!MO)0yd&*S_axY#kKW#i{I3HFP1py>WBpb|mh5@{_vF3qK3zi&fJx$z&`KV&pxy
zLKHt3fy2bgSWBC5lSDXFa-WU0>!~S8oQXIQ5pMSvi%{#yu831MLUcs9!!+O*%ukap
zxZ9kB>&FngeDc#VYF_&^SnDNC=Y8&cFQXAnIVB~TVu}60xh5_%L>yaO#>dAJDS2n>
zx$2KkSV`A!P_cYzM!zlBB74HRRxuQ5O~WO5P&@l>qy+)A0kvio)4f={0~Dx97lgUE
zhpW_<mO6gY400`X>?@Pr9;inNAGufOJhH~;+;&)K;YQ+6SS%0b)mJhjyL#T@igt?R
za^A1Q%Dru+fygWz*i}pm&tZ2RKvI}=pr*6C<ki(~PpCH7s4;&$`Os+Ap`alxu$y&l
ze#*^N(mIfP!%h#CdZNrhZdb8jb(Zd2yx_nd;qB8gV@DNK;ko<kFSsOm@@5H0ZY3=j
zx3^9WXtIS3n>n4Y&j9v$j9IX1+3A_94`d$w4>vb8j59gaFr#3t<P!087qj=ix155k
zrroYPz0gAi#ZEMwoRG;H%=I3Ea{*cp7v)m`;ejv{(-P>}yFPt_sB-u^f_sXWq8qki
zs4W?v{=PLzBrNt<Ynhrfov;R|U5k3$w9qk*iJ88FL}Eiha$H;$l#R6xzoman!j6bd
zOuT;eYLnweNO1}G{FENKKE$hnj9LVW^FZN^DRP39{3lTCu%^Jia-GjCHu&j3mT(gJ
z8~*cIezP|de3An7=JEzcM*Qy|8->6?&r@k6ub|+lI!Pw=nrglYUgV$#s6v-A&0xd;
zKw}GvU08&Kj-bF!KST!-ks#JeKBx?P_`jRl_%@_jwN4dI73ujLGM^%AxxhUIAmgwm
z6IxveBIj?nu#s#rryRDOLdO)y+WT^6&L}AK0(E?X-UpUiMevk<YFELh0^e*}h!!?@
z8#pg`QyPKMVg3D;e|Jt#lIImeW$Pa67KFw)u;##;9a0P)03#zKA>EGNUJuwd6G=T_
zlPB)22JaYX=i5SxF`mr>{<+0`dyqTW$iB<XJ%B`dgHonmmiDeLGpmQX7zf8SE8&i?
z&X$%IH8r`En_r&;AQAvO3)GB7^MyqW{iTaj>3#r{@Unaqwj9hJ3gZYMtB@=YdH}L}
zZcb`yQ4v3f32+{Q1r8P==q54bjswF91Pf!tUHOB{D=Rh7?EZZh_#++$20yMnD2#gr
zFBDKO!%}C+;DmPtyO4THPy@is`}_M~2VEO3rUPeeNeSdiTY~8qBE%p_0CK<qo670}
zp!j*n$l4wpMnUv7vIc&U$z{<`--r&wI-yQSJmsO{^!z;U{I1BF+20EeA@aY7h5E4n
zAr|-??jpdj%kr*v8)~=Iw`g3F<Y6PN2F&gIuIa!2k4e~z86r$T>j5cOS&uO;W&?vc
zI1v*`u<O=BT6GiTLNoV+Lf{@`7qtBv1wDk{r5lHERYFV^T(1YhnDB#p?udgcsC<mH
z@GV#ifL1y*0tZCCM%vH{44hgzY=4fEl`%{zS>twJ<REGj60iOHjPVHwZt$88fIJS4
zuPe3FaLxXI+bpb5li<0yF6^|4F-3!r1jK=j&mPIhxa{;vfoAUAB&zrS--dCntqYF4
zu&L`5J!_0+(+0FX>3WMJFARKUFawh7!(28}Ds@1)50BLfr7@Q>e!u)m!w-(rLfk+?
zV3>%{(<t!q+&$=W_3`gV{TuYg7c0ueRotjDZfj$cs11Bc8BkHJ5Tv^dM}K}zx8Dv9
zds$FQ#Qp2b_!3_be2t83c)E8NeSvSYdjZTBkpGZ1%eDh^2{3<sY5yG??ymq^P|8Jy
zpYm!ij&=(?8e_H2rEn6ciAx&{ID5g|VSb8Z>Fr>iu#{40^<C5(Dh(OlPBD#DYh~Bq
zzDG&&k^C!f)lrHWyK~+V>Oxfmtl7D1X`>0+MNd$l_(Jmr<@yVrJtK%Stzf!*CT
zEJhGNQBz{DDjks|C4!T*Xie`#G`A3K+xT3~9T(|7!uc|vh$-`Q+&P05+11%z&g&qZ
zq^!u8Oi1Ubq%FH3si4REB8sn1II#LlJ5IHMbs7=*@k>K#{TPH4I;C2hdb%6i{zoqD
z?NFOp(*+x+oVMH*^Z!HGTLwhcMs1^5pfCucfV7B!G!7sQ5{gm-4Ba3j-Q6M$QqnEb
z-~dW@Nq0+k%h1wrZXWRa-uL`C$DhugJ+p^<)pcEKt<E+M%h|$<G>#0#$&qQ!yijN|
zk474+&m(~s{pri(u>)aqdQoOX(o1$N<Tm}txMnG%VW-TOuQCVd>22q5m4*`u4%_j;
zw7d_m2A;BH2XY?JAF1#k@%|8<+%y_IOJ_#uso3k{^f4~;stgPjvt@QEk=#QwfCE2)
zTLnhwg35#KjE#XIkYmsCpR+*YWc&>%Kj68QH8hZK<z1$5ul(4$=aN7K2HMPJrSP9_
z9+XQ#$)N{e<n9YVGV=3R1F>rTDM+X`jIIkqG&FlpfceaUb*O^|?4Mt_ySq342E_An
zvz2r#)O-Kj_2eH7gjP2RZk)0T8nR4FCo`mB($Z7ee4f`l6<Xas(DjqWf!f3sOl`r|
z96M^a-!QrE)<NEsMq+$L6rD#`Tw5L*TJIWA<KLG8d(SJSuKshTLKoBr6mEyJ9=9-n
zcLM@fP$4Bd%=tf{dQ((O&5#>X><;)Qe6wu)B6RQ@h=NA`G7E5un|D@hR4KEVRgf=%
zSh0!(DY7J++UH~?l=}e3Aggv)s2Hvh@l6&%<GuGig2y}O3BM8X>BQYd`<*8Q3i_s1
zLuq1@M)ar&JZ~cGl`uM+cN-WS5u@)gZHpeplX&gq+Tuy`Nv5m2V|FXiE|CTfO)+8(
zMdrMJLnbXf)<k+MRqk=BtSxraXVpjz#77|Y?@eWXT{5cR(f7&s9*{?B$}iAGBy<tD
z?^lA6XWpH{h2M;R(y!~re!EAE?4JQyn5;Ml+wGOtGe_-n5!_tAqp`Tl8<GlG-I*gI
zl;elqG{<Nvg3#ic7m4ocjd^yNH9Fo6|MNs7)N0P8e&n+m2`Lo=o~)FsQJBvANXtBw
zy478dfKDpTH)5-=#dYrB+r0e2>kWpyWd#=JIDCB+NMATM%kGkO#D2?w-746~MOE>Y
z>w>s`_HNelyL~?kXl|BsuVtL=&x&lZiVCVfL8Wg84)JF6q-j)_autO(ramBDyZZku
zeAz9KrR7-_r^UiV*x{kAolx6uNFRT@0VgpxQTv*g?)D(UQ9W62qFd|Ycm#+cea~Y-
z%>_tgAbJBX>U_i8-8xkVt?VXw%BJ6C4di~<Nb&eR@HMuj*FL%k`qJ5S{d`%s8qf&j
z)74<~;;Ao%TWe?M1PFuRBq}N?9gG?0UkVRRM-9+aZ(IiYYN!1Q%No?^KP|v~Fz@5{
zV0SqfNOWy09sqU#TV}mqL`6jG&4&mAy5(0h$nJUV0P%gQUkEZEz=Ye!-}?xrmHpq5
zJnH3Nl39xl`kn#~MSNt{1_Tc6&tQ!!Ql+rj^e@=62C_bpU4R4t>Lz;tRL;sX8XM-<
z@p0ri7;&NZ+1uAQgqTCz(hw9!muoQ@7%nl;%Z&t;^;`hq1l6p#q-5uX{^nHUct!hZ
zAIm#ui71n{5|`RE|3r!K48u6AbS2CIXx$_6lT_wCh)sr!Pq#IBJ9q6Y5sy0Nz$)4X
zgpV)LW7*<<k&I7AuZJBJ@iBv`w||}8lvyf#$%xj@WHih~qNF6fnmSQ%xKgvySncPR
z!#Ec~_ulC05zTdt=;{)?xmIC6(WhZ=pH1lV^72;4FY*7UaQrwbGq+B%+zoy!FWhJi
zyV#S6o@M6~5YsQidejZ&qOF^PrQ~1%e0_aAQQ+e4F@YV}=u6J$Q1ClHEH^*@Vgh!*
zN7(JZKg9A!Wk#^p{;3z(WwBUvXJH#CHJ^pIy?qAFZ@UqJ&9Y^^0%B_|(1yZJcEGxb
zNWKt4hs$?<{0Zh5%b|mb%L4>6^V<%jEL#Nzvv=I?2Ze-SQG%Vq=4G=!{nWJw)tluP
zcvo}cK6sz%F$Y}4Won1I<(`4%sC<jJE!M!dUFPB8sX3Y4jAGsea^JZ-|6Shw05;)1
z$yciU{E^<ww!>1n;YSrO!b9r(>L9lUTGP?B$7kCq2ySRrVE=>heOJo*uXLWGPnkU5
za(z{JEQdJsGdwQJEhGQ%Sd$5RAdRX7nfbu~b`e#Z-kTv41H-$N!GAxue$D<NhtO?%
zlEbsE*!{5}qnVzFl<(0<p@PV-@^rZbq`-Z~JSgPO{t0u|j{h4Gs9)2b;IS=EnCY_K
z%sKJnZVMv}CJtB9$3C#iP#6b?LOJHZ-nL9Kx>+B)^akvESqSx;->mznvJgo`4!PyX
zM5eHjk;5_9jnu=r*^bG==KV4fer#UN5W}Gzm;Jv%IaI+(Nfi$rW6Q;ge<5F}gsj~p
zv>S|L?|iWF*2F@+vOR9%=Ld@c=bq^LtcrzGg0X{ONWb~IX<kO`SVf*JI@ub5bWSe%
z8-s{`mB>u-=E-Ox+XG0)NAuF(Gch?)1e(3Jg}XLecJ0Q_?HT$;Qd@LP%=Ohww;9@9
z=XNo5CQ|VVm$<k$?&8o)`&S)h9swab=gknDd}e_;v%WYN6UX9)D*Q^Zq<kwvJHgtF
z4^YR=T!k=s7{-C7YIhEUEG2~{40Dq&fvG3hd0`T1ZU2FtyD(3jhErL=C)XB63jRBD
zv0;KPiRB>7aA`8Kxroe$w(ZXxEV*q$y>MPL991koXEs+f2_v;n4X=**z`#7la<Cf)
zPjtB{JzD=I&u(&2g6}J#e-8b*3ELShkw7=~4Fbwj^8bz`8dt~A$VkT%f<P&?kC#(%
zy5Q1infF<)Xc>zrV=&+$JNtn!sQ}-Zk`M*AmFV5Rv9SR20?#Ihpm43<BTVn*B<H-}
zuzg8|KOJoUAu8IcKv3fd)~Z~N={U%C5db^EfWBsG_a@gJ2M;Y#x1I3h(?zXw1UGeM
zMMYISDrVm1Kf~%K9|1@t9L7I1J$(U+%Bp#?%^0UOuuG-*lxdsdbOwX)d1cdFUL~pm
z2wTM;UD_XzUdv_6OGtEp`hc)z%NsDa_G4d0)UCS!LU>kETD<`#KPJWN^}N3PXdfRR
zFI*rlor>cy7LT3)u;i5EyZ_RGnLk^7A#Qshc_b$zI~%V(8wV?@hS^sG4}hLa;NqwU
z7$`BZS<TVXoi58+1+bU=gy7@stj>9t%B;oVr7v7b@pS{CU<#<9HS^D5g_V_+?gy3A
z_b3In{b8Mk4a>w;bu2ublQsjKHQPZ%fvyY2upSZUe^0LOYryUV=zNzYwq!@3&d)1f
ziUR<0N3J3gsFUk}Zw6|3Gs<7!r`WgPs_HdlE?{w8mC!owkDh38-wxCQyF~6$=2iby
zbzA^dnLGF{pfCM04LPVes8&7lC3nh_d4Aio9w2{+JZpi>nJa&R)_o6zIDJrkasmk#
zc;YB6QEy!GkmW$F(>aiXZQtoMec`-OJYoj=3xrcFh7^?ex9V=~%zz&iEdM?R-%4Pw
zS7Z#!B}L|N7RUX$R~gVlZKZ!K#G1Y?>6Zh{UFJyu7*#t9wq2;Ip1Qdk8?Q@oPVQAs
zpP|5fH<gt^f@}{D576T%kSLuG=tIKVL+|O$W%y3Z{Kc-|1zXr#$?63#CSYxK^}*rM
z5%<R{cZ$a4s}8=~CGZDi0bu0|=;x;j;j;o&FN=*_pgc`@Iq<>G&dxyO1LE#*Z!hcq
zA7ts&+QA81Y-b1<m6P3asfMEb1twD$vtW6#`BJ24i53Z#(RckcxpZpL9vi(%;xRtw
z%g`V7FNj1NZV)|#6Coj5_%LPFhc1zZYY0-`+Los>j0!E?_#L4k76R(OyW%XkUdm%n
z@>4<YqDyV~k(9>2O)JjjdMN$1lqFlE=@vBBXLTS?Tuu5%LpYgiX4#S+G&OOK>a#U-
z9}mTBN4eIwD*u@qv#3f27TKQ9W==S+LhoH9H)o2tD9pZPX9uV%8Jd)5y+*${Tc9NR
zt_-$f4@~m^$x9evD{YYA$Gc~M6iuZh+7jL35>*dOE;KdHjS^yfnUSc=SCFgJN7%e2
z#ZQ%VQ<EEhlfx!s>M08jYDv%APLp>|^BIbH>%l>`OlT4mrRK>ika}_06|YKd+xHbR
z;X0c>KKNFmse1Bk!&D71!{y}O(PG_xV?J+tN=<iaGM=3F&(v2h+>%`00jPSoZuF$e
zR1Xu!OjQ7B3&%;`i9tKPTr`Oj(Ewe=5MkrPHM6+Q`XW^gIu7xPy(K9m^le#^rB4b=
z)87(5#iegptEHtVH+~w=l9IOMyZmXWQT&emF8vl`TD>|~eZGB{fRL@-;L7HcMil=o
zReo7pUW<`3;SO<QS9WY$s!BU_P0GdTc&VUB=-YAvCX8?#mSU2vo9i;p`?AHat&>o&
zCqlN|(R7wxzMn8?*%7Bl%?m+^+es8w{MfWg`NTXm9n8uSn{4KPD86{ik0m(L<;lT`
z+{>faWN)FS2qwbU$*sv@%#99v33K)dU6t^*F30xwVHE^cLGJ#F+V3iX+7b-IdYwOV
z0%kcn0P<sO6fguNKnOa0aW;Kf{=(dk2X<zFo+C9xfZpryutg9B0ygh_A=x>)+k>OA
zks2DW-vCk&ro95omn#7Bw0`l|{DQ{oa80S!3CvG}sVxC(Clvm3HKlu}_420v{`Zo5
z4hY@133sE`%5Sl31vdB!p3Zi6OCMp8Yz;;K=Wq%NfJOZEW^oa^yM5{RtdmdFf9L|Y
zDJ3T6D<k-_r`~yLH>sqg#IbE};uA27M+?a&uDkKmr}4E%@qnHOqa{v31x89T;LaFc
zy{@r|r`y3tb5&_C2Y|hjU<}fQqd;;knC@_y&_q68-FCS2gf75aodTV}DePhohJi!w
z0`jceH8o&ciZ#pD<r=MF<X%3-Vl6kzBTTHgK6bbLTrJRI^PU=WaCkVN*x@R%{iyPi
zo!tif1R+5|#igZ!pl8$LRo`aC7c<bma_Kq!MRkE<3P^=N;eJa=nY~4ESXcGTxtrTp
za|UdTkQyK*AsGkK%)xm;zop30(?oXw{|Ok1bNahdaQFZr1^0{EcmIX6Iu+*lF1HmC
ziZvAKzPB*AtFf6`()O3(;bHJxuAuAc(7yI$5{!_;q7?Z1BP2HCd@+%gp*w}}5TNz|
z->}iv-dR@zPkX^0_O|m-OdJaV!XcR3WZF0Ie;&scM5W6KQo#4l`ch048Ny?gTtT38
z0f1Pt(;D58`z5*2qw;CF!g}S7=H0&G;g|clkG5K_OYA?O$?K7@178x%bq$_;JeWCg
zhliI}%k2oUF=IQTF)}s=7O8-pzCbHk0UWpE+x-a}v+BB@;>(DzMuEu{Oy#w*vB94%
zUbCCH=}@gn`D?b(SD*7rjroyiarel9PhcZEE{^y>=tyFI!Mv$itG0)(s;(#aa<K}a
z2M65Dt4zlcieMWYdLt_cn+q3RdQfUiP7a0a<K3}rZHpyC4yk;4N%uKzm55B8L%rT9
zf-oWIyI3x1X>{OZ6w4CgxD~otBijwUV|5%9QXP>=*$S_p9@l;>U~C*p$X=Wte49#0
zl13MpLmrzkl}g6}zsdJxV$|Y&Iz%`JSw!D?)bfyEk#yL4$*F9FuYhmx9f#rs%Yni~
zMT*n*uuw<&Sh_BssH<x#bcS*+NB74Iqy{+#c{Ne>;qk{|UBiqN7FvM@ymu7{o+#KZ
zSJ<K319-F7Nh`dO;n!r|3HmG?&M@*!!K_Ngac=^j$LP}pLz+RYJlL?jShLkWd*?kY
z&z+}#JbIA1l+0D|-LrnE-y0FI4Cvt!NqaTR(CZ<K>;xS0xbycOB%G$t_Q^a6-Ji*&
zXmBh(N^fBp?#}K?Y3OZ_$d|$<X8Gtv>>?d<z$3tcnA#tIxjKe(lvK>PEI(k)^3lMN
zGcg7l6O}GFIN^LAkr)-c^%N%?m8o!^k-90o`m=J$t!&FHL&NyX?!ul!wdJNmUHOND
z3dChdnju<XvNW=`w5_#ZaIr5-78MTai69zDwy&x<^gA(Iq&c)~<W=VC<PCvQ6ZFzU
zeD^a=kGS~rk_nkGTrR9Q9hGK@7Vx`Qw{I?KP~&CGdGuDaA$~{nEn!>4O<7|9U7*Dl
zqsEmxg43M(Hw8sw%%6F*I5zF5=7{ab(RNRYhC3x}uapZWlu@Lr_e7{E*K%a6|3s3_
z)-Mld#_gm8XZ)`Aua~n2eD6Rd>m$s2lt61PxDyuAY4m1`;E;c-a2})#fR24vH3YOe
z-ncslPow5R`&sGt1;8B=3aeYx-?5H)@t>2cGXb0Y1P|+Ryl}zhmstyklmYJeS@Riv
zDX@9XZh?K+48YY0MEdDG!++O*Y%&Mdy)%6=W!XZ8mDr&I^5DRcnVGMDNj8<)i4&Lg
z{<{n<qkYk;#IzQ0y&!qY#GM1}&2FHUtm%E1xVUw*_OT-$Ipr^qiR`peg-EJ>&CShS
zTI=aFm%Dm*IGBw$H8Mgw9}o}#5P5B#U2ejeJ8my3mg0<=0h^Dfr8_b@8XME&b^U2z
zgw5sHL-*4b_o|g|fdo9!g%p}IgsFgwz5o<2gT_*R4Zp}0nfbBYI;WPEq?@$H`>K9K
z)4o@Sb=?YAhxadYLi<RKc7g7e4TT&xMr-#*fc${wR>#j`c*Z+#Q(hKNJ-G`XJ^{pI
z0o!M^o)re6dE$toh6zPyH7{n))g95NNPN45gbHzU_P0!u1Bq{+&7cGh{2t!*-Pcw3
z8JAKEhB%#kfhzy_rq~fR^cs|ax$p-=qV_$0kTF#%dh8tT$bO8dmVw0I5vX`o;skmu
zbnKxhB$>{(S322j4GhVa#=LOb#P=o~$&j?3MU2r5Z?rZo|H+h5P0i@}wv}-g&!4w{
zP@dYeh}idSx)wTyLbs_AhtFW0mCg%|d`ItHG%M^04sttYmm=RdW25g8LiPu&>1hNT
z&HGXjuYA_H9iD4`51GhvCJ!t>BUY`G_E0U_W!KWNeuX|tnjTHau61;i=_4vUVkoZp
zvtr1!goLHuH)(YI3?%b`A>y>gGE%m9*kJm3SNG0X1mu2l8WDS*y6gwe(bpsfd?Gj2
zgkAK6(aDfSMM(}BYUouqjtYfKMscE=w_NPG?4%<yMK;LEx(4@NA=4E|?#UiF9?b9t
zhFHXkS_vC}Iyn0MBxGv=lQD?XQ8Nf`@7b@IoA=_tY`$iFeCUz#Lz@64=(IqtQvc?w
zMNJBM`>xLp$$C{JTaWAyWK6>g^Z$+umhbTq{pQ{$m4qu+pA~UA&XuuLjhmN;4o?O0
z?&kQn`OoyND8DIvCBxJ=>AWIs1G~NX+HhZHA=qMUqW$<jafJqkbUz)(6TYgdEJb^{
zSx>PQ5_3oA(Ng!f44u_W%h4w{<RP0s=sYQiA}qv6uwUn|H{R>%4)|-d@rbsOd90Vw
zQ~M6~DoGC3Mvnhb?pjgqAzhD1I}Rh|uYkp(hNG}wYV6a-2_(~nx$+ErHus7fO7n~(
z>KRVZ5f-C&inM{?Lhhanjhf=i?2_i9B3i+Z+j8=ORi)<g=%>oFw#JffPx}vEoSQV`
z2#Fyp3M%L$2L;1f-75T7%^Yi}Ig_+lJX2}qZc1zDtPAU-NnoG<8`|~1Z2@F8tb#{v
zu=6cn!Gx(|P_#bKZTz!zP0j}r0UPVo7d#m~KR+L+ECE)04l1~-R}(~lookb}JP<ww
z1&TEnslbpi5G5Z4idcs}yfRxxMNn{RgH~K)5s^ki^}|3BmQJUuY7Y&dJ`#VfE<=k#
z`*%|`#v6wZj??M!vO|TQhDFt{DcC~aW<a3@8wn6$AvpTB7qzGDIx%7<3+kf4PTW5h
z(A2C~p!+%qQc)?U*E=Ymu0bwuid5E=h{ow(1egsq#n)jnqe<31L5VqNN#Y2vU^=~7
z_fOK12Wkqaa3PJs!8LY;$_Zm~7%FUDMn~<ADe}QkR7zy*7dvS|{0ul>66(#Qe=H4#
z08&!8i)Ow-XGl?ly+OZR4AnQk4a<gpE<{YU6cO*Ht>@@!x}?K6q(tmHmJrnKyU%Fg
zgX?7ZNuf7jEdr5zne|HB%9gX)`i^CXH8VGW{pDf8DIAejiRwKPEC&P<+AVo*8}v0~
z4guI4g(#;FdJfro0%G%qPKHc(T<D1OtRn}#`J~i`Q!?!BaN1|8DhP-i_y@a^bdJsL
z4~S6}l-jGK3)QLylz)Om4Gm>e4R)0QD`d<LzAZnja+Itg_7M8JUrwVUe#5lr^Lx(-
z5jd4?PPX)Pep!Jt!%U@>Im?E&i_%!$xXYVT4XH}4-)So3_G^exmR=jlg{NzGvBzWr
znhU9T7;oi&{VuKAL5IQdIR#CFgB4o8F|4rtHcD5DYwUrhA)C{xLIupx#UX!I?2Xfo
zz&E2xX9M}k_pNFZLbhHb?nk$#CZ(vF**Zq7O!-Etcz;|>xE1`SYu^7e&Y6`s$M0dO
zrrRzME7>o(t=Vq7BQTHR4WW;pxGi5faeMj>WpQAIv7Mk@NX}@i$<ypjHtHQZA5J~#
zn32vJSCKKgB(CnNd~<n;W;^~DjtfUt_s<VqU_X8xwspW74J{W@EjRKxlUAk##=0iv
z8#BuaC;1!49+2an-)=IstTSvuAF`GTf{g6`nt8y4T~q9+edOP`+g+U%h+h0=63eRn
zF2%zp%bR>5;hZBUEYB?|(Gn;@`ggfrZ~~B^sQFbJr}OaZI7E#JaM0Gx11!p5Fj*P&
z;Nmlcw?&*NnO+@x3+6_wQ__mVxxm_eq&fZxV)J5$<>HHU<}Hs`DKd|V`rJ#9>_=kP
zwrGK>16S`j@FgF0>IWpc0`hPX*5`hSBb^`Ax{Gtz18LgSp}l_GHAloq28_=EkdP0A
zy&82IpWE}~<mw-GUw6B6b%1#L!vSo$Whr0yvePlWKQOYyOmy|llufprXRaRNKigy}
z0F)Fpp1*hZRUL*#z<YZ4?9=v<i?AQyy*19Kfp+JP)HU2rzyUy>n9BkLpif1(a{#pv
ze})$n6qIS>Xn#-uVeE(!;?rrX`(b?v4$vnM_XR)0GbDPP0n4Q&AQ`|Mm)1njuW=Ga
z4}1Gc!gE_e9Y?FX%vPYOE#60ocTwP}mxX*M2DiJtwOPVKy@=(8Rr9{Ztc(nH-%J?<
zB62}Q&^;VyQ3Oq3qj;AA9b2TcO%o-`qg74;9bFLuNgx5FW@db$m=PBHL(*R|Kub7~
zEvy&AMHQuE1ClXlHqKa4pl={|p2DyB=7;U}nA2L}?{acUN0iGq#qGr>T6TQH$fO44
zM2r%>R)!yS4dv>w8X*wc$5~COp6`gN-fM(Ie%`lbTgY@$9VA5XIJW0hGpDW1HrV8}
z!#Gb0UL)4j=tBC~v8AnJ+VyrLbCQmsmE|HEe4k4R$z7%*98?{>M1(|mZJ$Mb5z>vJ
z@xz$r_is8~;T~&|O!fImOd2WVETN2E`4^?&$TPN>z?%QVL3ooUdRD{0=*WF#O!+B)
zV>MyqB**x$z2HG%qrAQ7Gs$;vQiX`h%zv~Q%6U)ja#$-?ZDj88j#Ot_)*%kb8MiHd
z1eA7D)m5@jPr{8Y%*pu9b%nKV4Om3ZZd<aLaE^2Apl-Yf+)PLL4jRtrN3A;j-R_Mn
z4BD+$`R0!|5%Ss4+*FhMbk8Ov#2G?FxODPqH17qY{*B7;h3+T^zcRtQ<!lMxdu>~!
zb}gHRqMnbs9*A+F#lXu32s+8^C$@JlsY@_X2MkU2!p$)3cDQCI6AHI(UUM)7w`asw
z2m^uEZM^n$k)?yN3RGB>s!QzGr(IbdM5C=w^<Q!4K<&tU@g*;hc{77|iIM91NZVY#
zUIRK-L9IHUY10OzqVC7dr0M@c-2)Knrogm<k$f%p9Hq0ppv>i`|I8s_i`wowR7s#|
z{$I-gMj&T9ketZk*;mALi($QWCg@BA5DPwfxUe)tFUbAS4FmHoLllTi)Sev6L#;D)
zKOPWq*(JrvC=q4A(AS62^+IK&EV^=)hO%>?|3D?_5Z(4XW~tWtkwCn$F46uZw!Kxm
z<IQo+nTGTGJRRJyx87?eGU$~D5Cg<FBhrdWIuHBm_ui1aY2nC=@lEF<0nGv^z2{Vl
zB{+(%g^-%PI&0N2#;^jtx_KfcF-gz!s!ltQpb1snz;4WpoTao%Ak|3!-~nqwH$;t%
zKZU-fVN+e_tA(>H{0I`gIp)n*s7{MBhFR?JH~Y@;usFh@_rs(67=zT(+>6*CJ%aMZ
z^FdKZi>TeNmeEZSI?Fd!6>@_^wyfsb9lc?}k#Q{<&EiDA&|8XW%4#V`zQ53<3_o~1
zI$xf>c_U!(7rv$d%`F&Kml7rN*lfUWyY}~Xntbeg+Wi~_Z()ro0?bEUB103}>jM=g
z*0dbkzuh+Eu{eM1Trj8>;_9}K&8Gx=okC|^&84uA&HDEH9d*?`ThJ`{2|7zbsn$<P
zba$7UOdIGQHl~oax`*l2!U_4^QdufBb5Cvkc;dTdXE9ljJo&yDK|Yr3mFnn2sXe{1
zuNH0SOc=w+^K~?}GwWH0u(Li{cpbP@tCA13bqsA;@o)ZqrG}#JFpRrT%hMt0L(87N
zWGQ~eUR9NuK6Jma@}U;FjY2EJ!J7GphP4hel^1SK4&FGHwR~cNyFb-LYFlD*^4OZ)
z%rXt(Qlf8*k=2C~Z;S<hZ|0`zJ5*)o8JC6Nb1I!``04h?f%)7+od@#ojdQ#l)s|j&
zbL<8znsO_@IP#CK?Bq9<6KQGeh_5}79UpG)5fDq~r}P|*&=2|rZ!06$B;hmY8~bYa
z>&#`AD#|#_I^Xf}BusLtM(i=mvvUh*F?te*TZ2`l{?Bo=S4Ug_rU9b;uk-ysvN8vc
zWOIPpU1-S4&T_MrPFQsaA6%Qx629il@;K1)B($weTUzB<ai4X(y)u`XKR$$q-rJG+
zF6kENZs)tnEH>BntgShF4ZmMjXPX|$^}W5l0F3(Zqv8DAjZ!p4CZ>t!Dg@1Z_a!_e
zGMOlot+4`=GkNX1of5BZZ$Z$A<wAGlqFGaY$*z>F@qtM&Knnq=5TfDTUlf(aR8feI
zx{_V!+w_(3oiFb&@$Ll%XTdKizuz-lcYeIscng1@Zg;exkW(<fGM#I`C8I9k`EWiL
zGLT93Be6=cC$IVi(cV7w(Gx;8>|^~WAS9t1cBDl7NwE7B_f`8~U0&ZM#tF=F#f_A0
zd`u!wH|iu_k6B?^;rynE{c#AZM0NtULJXVD0YeJjd+_&&dTbq%<m~2+`)<TL0Zpq_
zD4*C=py6Trku^=Q@o<1;ep`Rphx-$g_DVy%i0m@91-kp_WE+e)cX15Wk&ZR(LD4s?
z^N&ywn$7$M6Sr9gi5y?n1U+qpiAC9GS=(4Ume~j)IVtd^F-BUS6rpT+A``#XX$c8w
zY9P?}myRO%Qz&Mi?hksEW~fROyZna%Ilhom_3ATti_T|Y{wLEpmXkT@{uJh+&!Woj
zQg<0%XlgxvX&?2SF&DXq>`S&oMK`s6OL&VpTCqilXmE)O;cJjnr1II5anX4msP707
zLH1x~cZCEu1V<DC@f>amVpk>aCQa+hhCoJoN1G0Qv{55J5kiQ+y<OoWs<Mh%TL0E;
zvHHF2iv`zLG96IDIn8)+=gRcTR7)6VIyC-dGL-qJ1xU#FFeEjgFgv&t9-o8U)Ht27
zFgNb3hC23H)g7x>vTrK!-G_fE3RtwJIaF!1C&J;vp)qd_UZ;F43vb)sx=YHF@Lcit
z8FxM1`N~2^CMvfodfP?H?UNN!v$?T@<iR}biRDPkGjjdBQ2iEug9JeeOZU#1Fw285
zsr!Da3!VH<sN4+KSFm!aJ($X=O5QI|JhTrWYUnTRJ83yCMvmreFlZgMUt-&woSZ$1
z*IOMenCqhdsjNY9LjufU!ny~rS+1F`M?kdhl@;IQa&?@w!$3ml!X^d3d%5cY^lK#B
zQ3KG1L&^Qa-!E60*T*J+$LwxAOg{8Ns071N(ehHp09kkMt;M@;`s)60X{udaU6->c
zVn=p;%?0h3BCkH6PR@hn-|$`KoBunuM(12&Ane2uLiDj=9vce?ZQ?x)c7~{t_BucW
zr77V0%eOuuAPE<GJ2Wvxkb=2EI#l>+ZFQYwXvdPX-jJO`(a;-vAd`a_(l7Tt(5I+_
zY{=;u-VCt`Z$2}7F>%9en=UbVXqHiWHQo2fSri6CR)eSSL)BE1rXAw7R*<^I5i=k{
z0mhQcr7$pfG4r`&FnjbfEhCXdKDQ%zY+9TpsxnpD62sBU8<$d{lhtL+`}4pOF#uV{
z7U5$Y#oBL_G@X(lYXPtU`94)*T-5%W!rlp?L%N2OWgz5yUdg;&d$QsUKvU=Is!JG;
z=>tNINfomdNjW&)aX|T=e1C66B*S2+up8Bd98*AbIC^UprKsfUzj35sn(-%{M1IQ=
zI_F%FFz{|6<w0=Ul)hB%f%89zBg}lYI|n=HMXZ@6`ix{^DD3C_2)Cgb5)(5reD0O}
zmozN#x$3T3^=<$@kO2%pe^>Yr^Yp^zN7Y3nsLP`&%2hX%6n!%0S1iZM&U@CM$4)w<
z7nO*cJc+B36&y-VKgM_?2fcf2_?j$a;DP2=RBlq5YFkDKYWpui+%T09HL0y>xv<~*
zFh}HD^Ie*?`5ITxbl$nYEXkTQo@*)7Ys(IKyWD4f;X_y?Zv3q|H@14ix^l~G^jE(-
z)GqQyAE-^09`!ZH>xc&NX?4fn+Z?ZoWvvM?Kg}&EYMW`&I2&{tSV#>b#KUnG-k9ap
z<Q1~b>6);Zgrg=SO9k9Cw=#Zl?54)@c7%MvXUHl%t=Ddk63B5vx)X*t(<b!YS+iS5
z5k=h)+%AvjtD4|->n|^~I`C#$zOhVox-v`VHd%qb@z!9cQO<8*Y3Yzk=4sgQ+5(3K
z@WVrO;dAhJ{f|t_{m4Zshc-%_5c25b$)Nny^x!k-w9HB>GL}0G8v(UsXY#MIkgB2y
z&*scB-cy%Z*v$!h=Ej4&?)M+T-_XRSA>##Ew@Owu<<VFP|NleXA?FrWzRYuVusy`Q
z=IFywbk(No=B{atElTd65u&qfVX=h0Jv|<&6-bvr$G}iqdQNg>W6BX*H(5}ibs9{C
zF@)h`-Z`HxR|M!KXi|Y<DJdwN&CgF-$KJoXn2~vT4-2e1_r{&my4cr}AdF8YbV%+Q
z8Rc$d>2u6QakpPJ!=MqQSRdax7ZW`01Bj>AH&7oQR@R>IhP1%l5<$tS{pzBrAw39;
z>ymT4x-%C>;sDE*l7=myt2Gq9y%I<kOeZ`9^fl=70es9J`xhcIGX9|4tE*>7Ev0Mg
zdU(c5fWmui+X3im+H2{fJNEbX9ye!qy#~<ee;S#hMFWJSr<>GQ;2&mwb0Y!WEQjv1
znhKT9Q})i5&rlY?z-cNjc{+=ht|LbbpiB*fN(tnXQ1~$iS6<}3JBE5++S-P>)zs1>
z<UJ}w)MMi3`{pUv6z1zDIU%mExZa_tLdfS&%bCocs<`ZxNt#$la)?Vk!^^Y|-;sfl
zVN1uy&y$y1&lA(^Dk-QuJZ_lj?p_IDAs+~yDEfgEb<B$mUyf`(hj-EB17>n^xg*nR
z`iYC)K~jujOzzy`f?2SocjZBE&-~U};>(A~Bs_`N^Ti-rhYlvAeHhYEOsN@r|7ln+
zGWk;g8gg9NoO5VE5^<)vmiSlz1W_i+#!aKC%;>hP6Qy+7$C;zs@`|he2-@d&rKfrS
zo-99ykvF@ZU=%|y!>J2P?GJzzHijRzU=btg0%KWV>3d9Bj~Q}H+93+M$5r%S1^+It
z3OGFlkk!5HvuDvt`zy{$t@(D8&Q_yarfOp+ELzN-N?NJe?4PaNEluh&72m3#eT*^I
z!e4uXyZWaSfW33G4KC$#h6L%`sI?lRNwrXC^X2`zTgr3v2T67NTMBS<7v_tW<$b1L
zPV0k#Abl^+aBXj=sq&XMoTo#hKJva>a(gn?9U6sGx;Pavflttw+Kw&dDrdaEoB7Gp
zcf~qTC%9~fG48W-rfts%0IAwP>W}i5z-<pcKgw<Azw7E+A|7upDPAdU`ebsl5o%zR
zMi#<JbY7=jK_KWpVHMI?<9e*wB4rVa7XlGjL_L|OuFv)vlC)GCh?A`2SVd#a1S+l*
z$pJnvY~g4T$iZA)U4O9jUniEh!VxFF->*(6TERzPxq+`=#=C;1i+09|sVRZXwyW3b
zbUi_qNqe#HOdnYRnhZOt(sFY<Dp!NcB{8qAARq*gL>1^kxRl0##=J!>t0sJ<s?em$
z&sP^{_tj&ae%k_M@T@$G<1A36yr#K&rGV@I1E*{Uq462~=o=zH3&mv<snbg__j}Fn
z{c;gixKcJeTuPEll^+EmQ{o>;%fXE1+K+MyDCL#1&TF`oQar;uw!c^A-1VhR@&^q~
zOSo?zewn2J-)Cy+?FR$=2<i{k;_E1$OeV$e#%9zXY9Et}H10*hrzX9ev&%-xD?5v-
zpZ68xb=2{zpr{y=dJC;#1eb_M(;D5<h3m#sBLe`y+j8KKh5gN-C;ByLwEP`)I%5hw
z+|NscIK8JMns6Da1h~cX9-F8Nm51M`=IN)~(eAKNkcSEN!f>LoJF@n}*ln$sXLX3w
zYbu1$b3d%nu#hAXqHa##Hw^5bAGM#R`%||qyK#5(-r~tf@}D#xNq&sxw%eW=5C_6Z
zWN?JC$w1tM@3gy+zwWfV%_f}!?-0u4K9RcB?D&d|CdZnBecniZKrUQbF~9Y0`^AUd
zNa&WcVfrFgkwI0`x6+X2Ge*_`^QQEdd2pwf*_FI2M!I8m5_}!X{@8`T@{%48bB4>o
zLg%O&Cn}A(Z+%mmONyAoK`?ht@-^y*RzgaX<i=NvQrWv`2}TSO`XBxU)%jR9S$^Vk
zI|Xx!$vddClwSkCCROb1yDc88tPN7U$?U^KOL%$uZ~oQ)CX22GVQ8R6I>$ck+&MZ0
z4XPb<D$gHz;g%<y<21oM5h@f%tzw`DHiQ3CF@$+h*<FQyb&izjw{B_$jI5gi<qw$2
z{^Pyak<#LB;T9SBWvW+Vs`jHWF)>k>=^wn%O$qY2deHXh?BvwWXfpm65v}ndZYj2u
z;R5OoW{7}L5Hg`}Y;1h7NkPiDt9X5mvjIv70c|DVUk77CSB0B@ckDfHVF2vYS>gSA
zf@NG6f3mALfJdzL(0U94-O~8f-x7Ixg$mG7(XvGQ4_8?LxCtxxhMe=`mADP-OvhAs
zCDw1WBK0537pAVwQc)Y(CC}wfbk0e!E_XV~R#@3naNkwzZ3im*Cf<fW&@uYHb*tdA
z6NRTicp1p@gdg;oIc%{UjeD}xb}F^sQ$%$aEnqE-im1F6e#H+&rTFs=!(Q+Y1KVNu
zfQ1-dLI*`-F^EysS=s|Y!%Q}+#$Isajf{)SsfC4Vp|`Q0rKTYEBcZ>Y*@X}dH!6%6
zML6`c;MHez8?8AEyb|`|(bzceSq+Tt!N}<}qH%@q4kUPIFYAd*nsJi^l1!6jI@MOC
z<1O#GQ?z%R#kEB4uj|e1_v$TL7di4AeY9)eOt+0Bq~EwlZ>=5rsaQ&$CLTw2_NKyb
zO%*dIYM?!LUZvY`rl#q3wTCsWhh}zGAC<xB^;xW<EvN5vR_}JUqobCl-b?ItyJnWP
z6o@)4+N31(F>93bmRiZti}}CiaO_BKk4r%Q5|>x5NW$xYpe;Q@6?xk<VskzUZ~)2>
zFWild4Xng#Ad3<6S}%cy22yycy+BoHtP6l~CtHA~V_EPYWc3PwziA7#Zh{V5GeBf!
zb}$M6u^($Cj<A0&5dr|OY%J!onfDYY%3z0mkv^Duvn9+uJ$RjS=wkt=Dd+KO<`Pho
zo#_#{Sa*~_zdAMqq&2^;a~M#*PuKO-s566-<{*-}(0&u>CV&#LO7HqU66Byr3h!BF
zgEU$u0NrA4!p`M!Q_uYOIT!#zrvZAM!sN3*?&r(y9~d3CX6i4um4f+r+#4lp--L*O
zR2Dr7VT>@LWw|xbdx5;2jCscpJB=w*SuM=smGLJ}?cOvR$$Uke5tEo2T|*0g6cmL?
z#=G2|Y&}m!T^4U_94NE6W+g(cooyGM{drgsuuC`Wr}+oN?&1g2G9o`D@s1B$+a1Jh
zD*)EWI6};4S0~-qn}so~miHa`n*+v9gN_VEThlz7cWslYbPUOIrbanmgh2jN8Q@t{
zBb(>ZQu5w02%_uxUiHX;JuSEw8r+m6`Am)yEPg>p6gVj)LLBlO$w!c;p*L7EJ$>g?
zLmWJSwD-X3MKsblEu$q1Z$L~6<4j=VEsw<eDU!_OGsjKu!Re*7m*Q_YTo;XMAwM07
z11yb%<T2>1cGx#HafYhC=gApY|1c6pZzLFcsHK>S>D&H?#+-(foufZ(cV)Y}%6vK$
z^38}(MOdmgS?l%u-%3H!NDpWGxCi;kdkf9VHiV1bztn=9O?QzSH34jdZ~_-Y9a|;o
zO7AGUQDW6n+oeF8=lOa2$9o@PiyHeUhWJPE(H&pMrbQ4~RSpildCZCUn`~9QQf8}b
z+^r5e7Wtg!8C|sL&9NP2_S`LfoC=!SzJpApNoLbP1feuYa^f4X?>E9mJ2MsFSTU|}
zv#JMZ)~G()7Z?gW&H|O6+czncHe&jI)yaO&M)W4H=300NL`~}yPR`C9`8i#qsb@Xo
z&6uWKPA%UipVn+!OHq1pll{OTvG|0~1V@sPriVKI^p4ug;?|j&S+Dje8dQ38NXN%$
z+>t70nB?a7^{}oJNRM=)vHpA1emG-lCZ7|Z(COWIP06O*K#D{L`7eMUXtKKXpJZI+
zZwihp5Ir6Der~$d#b2IC1qFob{p<YX|5eyG&4GTd)6pI`#pjRO>0E#WGcbT*nTPt?
z|MLMys_e31ti=m<A;o$F&wVTUp9FP=^b_G>)6-<2uq6k5G*MAeL|B|09FrGnXSoGe
z@1J1=P+HSs07Kr&pFfPbE9UNkrP<d$T=&!eEbBq}vZ_>j4Cv9w?Uj`*+^6wf%m#0+
zE-iQqwDvln5u4^QL^X;7^j+_l&2u4!wZ|Qao`uH}VW|NP!VB!<*+6zq)8zn-BuPX-
z<Sbl0Md!Hamx-^Otvr!H!=Yb#FbML)SsX98xqNa0Dwp!Y;q;X0J2182;RN0r&9P-9
zivl$8oRK`}rJUhKpjH!qP?J>?aiUdu&Et&wH#56zD}4PJmY+?=mN_q&mBxUgcTaPo
zAVt(M>B#|CK}}5>q|CD(Q^Xv>bE!Y9w@KxH`5xP4s9t1S_g>lZ*d$e+uafF&QKstT
zpJ<_H?>dSpzi+PjC^7Arq(kD2>9Y#9KS4^EwHQ2KRC-7&{E6@w5s6+Fxnb*75!>CD
zEa>BM5A*XPsH+Y1bGH&Agfw0&qa$Zki4Lo)&P?bhrE2((+?J_6`^I%dl#wM(NbGia
zniFVEHF;6psCFwpc`=1vt~yoW-CMdyx4*)<G)Ps&C1DI4LVZf3zg0U7A1PmpgJ4%I
z3Jn=fYRwk3@2>RemM~O`Uwg+XJ+QFYp|THAiHuP>VEXfSEtj^4YH`vaqQDtu0r;2g
z04wvV1k?7R2h8De2)xEYaTaqMBU16bIIPOuSeK`S)8i75)aL5I3PJqed6l0lLxHpw
zYUYwtsV{2WQ9V?dtS*eL9VU&RDC(yA0|@wsADG#<7@w(zfEpQ%>%z;pa1KWr1v5T%
z(OHD3au0NgfA{JStP=h5UpijP3PQpspmTfiqF(HB3EAW%8KyS@>y<nR?XpXxR{K-E
zHtXYsi}n4e6O5^=lVx$g0qb<m3XJr!3INjZZrgwPbJiu%xaGhn>}L;Tb&HQsYim1Z
z74OX+{wt<$1BFo&&?Fy&;U|Qc-m!t0eS?GS>?8NC;NLpkOWT+Os`Sf!QXMQ8Vfp<0
z_Ww8aXOX@($N!CJ{SR~*Bse+bhqc3PUzsgL(MMh0qT_?})nA?kscH!GfZuI>qP5lb
zRpu)P?n{i7h^=f)hT;as@W9r(Ej>M4nV|bp-@`nn<1?U|^l(FnVP=21D$+mng=8iv
z5B`f2J=O&N<cBdb_t@o0dxI^+9gC~j$_pTJc7>4cT$d#Jb~&1cd^a{NP1g`@JN5IC
zd+b?p*%qA@qUcgJ7by)s?>v-(6a>Wl@z)TnC>j3ZbMi<^{J)s=e~QHvyxme{@iFr&
zOv{n?#1-VTG`UnNT9r6dJdA>UpJ${0+RE86dYVJ?w-2Gf{-AMGnkbD-RcVseP{Y)O
zthbP9E;BjZN7U|H!cM8{!c%b$(~g;82}3`|Vh5w@69jIdq2?O>{f>{$75WBjBPv?2
z6}GD%77iP3Fz34XKjrumobU6AZ&DOSVG>!Nj2vb1j6TT^6%tFN_C(*t97?5Oh)R8S
z<TL61DPuFBI|h=(+yAUR{PBT|h)&MM!O0wS#Uw48LP10yL6`eBG-`d)-6Tv1P9=qa
z4yCST%wnS(R#W5Ily59#lMiJfqr41z`Q?=0$hDLw+<6(Ay-WnK-iwQ4CN`U0!SjO{
zx7K&EGAW9O3)tUKSQ3*`A3{IjZs0vVqes|IdPi8qWEAJovx>X~(w(*aV>?w6yWlr8
z3oOSbWW@%g#0~Nvo+XYj=PR`(NcP>F8s}~2cs9WICH>F1*vW?AgyU=O#Y`itY8p>d
zvHZ*8C)EgHt!kziMF6vwlBpW1yNirHWW7UXT12jUPnEtzs`~u&M89>7<l=-ZLKA;-
zrz(5rmY+SV1hP#h(5$E!e?0rCyZ7m)K~j>Uz<%f)S?ae}obSg5Xgqs=uiH3MPZEbS
zn6?XOg~{5>_yzDE&RG#{743Y=W?h}?#5ZVk-@R?Cx4Hd*=yYf(LhgB{TgUfycdIVm
z61M;fOcznp@*}h$$=YI%;4Gne-~ISAN7<xgm)Pd5wAUw;J<{GGNlV+E#2fVIRkQZ!
zbXpV}uTw|ucos>NR{Ij=^!wp-xpuU*(LToRa~sgC`*MWR!F|jlq~rrmv>AL&IfE^D
zA-+-DGRJ&Gj3Ix%)T18rKXE|!%rQQFk<C;Xlyg4^$pYiJSiyEWK5e_hzG>QRu7``G
zE*%sM53&2(Tk@M%bn@a)Bzsa%V%olYlcTd<9fkAZK=3qg9*=Ua6OvrVQT4qh4pV&S
z+G}&CK!^)DeJ7`I`10!%y)&jUm8GsepM?EkEVLNs!+*mAfllvV;Q~r8H!rsu*LjlZ
z%gLxjia)^|9}<DT9x83u;)AH$AeqbsI~;o4{ub(M!jzN<|4&6l2P!J1;Q70hIk~x)
zgHhSC^}%?T!icMR0%(lbAZJEPky*(<U(4?<_#%|+uK4Ajl;eh$?)4`CCi;%sxeFk(
zF89xP<7UenH8))OKs5NQ*vfJbj@y>!e<aq+c>dk7`w(<J3nA-xh?Cg5o(vfjVZoOa
zC8U2#BeEMEfb8Tv01}%~23=T`f=JBTuxKHn!=i?k`FZ(}d|~vCHB|&Ft5Mt6@(OYM
zjFPp6+#<~wfn%yPnU8T`*Q?VXb<Iels0;s0sEdxRAM@TDrS>|y-j7v%oGG>!r^9|c
zP|-+x&5ZpQ@{gnHdmWIFF)Ds&0o3MMQijw0Jz9jt{@N}gwCMS}T2AEti*TF{ZEY_+
z-q>%J26-ucYVc`V&zNErAo^qSbn$r8yxwLgmLs`#|3XN86Bp?*+?oaXOPV_)88xI}
zRKBe@q|moQMnoE3AIZQHQJ->SO%?976ef0<MNbOr!*$&fesQZY|I>`*>*+7M@D>BV
z9ix%<C3*W(c?H;KMYpn8=|z6|7(!26U2QL(pCz`5kT?BB5aQe{<A=cG`d|u$3nXad
zt))=CcdWpmaQ7JQ+}KR@rldFQ(%X&bpLyQZI?n>14Pr1HX7nXqJkfo_LJC~Eti7wb
ziKK$?q-2I6Q#xC)UAc~&$hMB^y^Ps`_W$}@=6j#NZYWY^>=?$hw-1pa79uXKFaXG%
z5_RT8UwZm2n|K_3gRS@ma|5wY=#vfeFE{Lm6sn=EOLV@LfzriZc5+FyD<Sar=o^OH
zx0xaZH3pP<axdkB)Hzf>aa;@%B9ncOhx5c$i!KhD_m?-bh>2<_%D4JzWSN`iwTMG@
z%{951Z?$9)xi~9Hts2u>6`2j>P|+$-NQrEwa?EBm6p4-A-<*0DCZi_BG>J4EnTwTe
zg+)r5-8A~Zt$lPelIU?t?r_PPaeQTLPahpE?7iAXCgvG=vF+^@|7K^UezT<<6I)NE
z$9wtX&7`U(7?p+yRb<iQvGuH-=|A62qFZ_ut$*3KoTo?=nV3npew`kB;;AaQL22o0
z78?2$THNf$gBW1eKQ{2jD#rfx<&JFtF+WdM{sK|@kYaghH0mtizBr9Zzs%MjQkYCJ
z6Gz0*Pw}zW@Q3U%AkNz1yN@}l@fPD3u2{L<-4XK>_YAHQ5cX!;|DkVfjFVZN8x1x<
z`-~y6WGhd%GlI-TioNYb4e1{$KD5=Eyklx>^DL@7rh?*e=#9-bbNPX#>7N1QL?<C|
z3R7Rj)rAk=%-A2~3`sY!u{Ye{P(024c+hw+KI!f$rEd!;-8DaR??W9l`NepK-0<(o
z=^oAC3*TGL7V`;VOKDOe<a+8UU!t-|gQks|F`rq6rM$xFFkr7Jh`mm%zW`wI4rn4J
z;JNBQMpM=WB{$ZS<Q}kYJoz2ATdn(&@OAz}01(8ReoeaihwweX+S#8ET(GGfUEgR9
zP}oN$K*4;u7DI<RGV-`I>^i*}1>Lf{8@1=_wQ=$B`plf+f`6ZNSK(c~5uir@Lwa(K
zejc$gS*di+a{%XHs6D^NaJr=&JOnwwrfV?L<frLLk#PZ|F~RP&=d!-7IRongb%5zO
zaBW~!px}^kvg1;$$x9Llx;}Ndl&LE;Yl{Z4<%1t4WbGh{o=a@t)_8scq{78ei=7)p
zgI=rC{rXlmj_IIp_vjPMnBBxDOY*CS>H+mo_8HXg_KMaaY$3~kiFnOQ<9W8UteSH$
zJcpzw70N+rRMh_2I6JO}euUMpsuiAC@($^R1-*MG>m=++Vn8MoYLLzI%+s<mDG!rW
zhRi?fStImrmcUE-B|TQ$?=p1h*~pt`nswsu{fz7k{Gdk#QEc`lW786d!H?`-!G_)&
ze6Bh=y^j^W_c5hd(q*;q`!JKI`<t5}KxMsihd7oaD0qz#`)6c2m79V-{1=ty;B6@>
z4drANhWLjFtHGWWhoQB8rBSs%e=_!oWP|SO8+bVK2P--_Mx5&fMWY;omqzv+%VH8!
z@f&gv91_l7$nw1=)cl#?)5?$)>5u_O7c=mAT`f)*p4#C4GnSzFU2%Um+!z2vhNF2Z
zicGg?qerAi^Qf9!_WCVzp22EWt!%oih(tR*bfxr%zBz5n1YqVmdu4tJd8X8x@xrKY
z%jfhsK}xeGPnH*PxaXeLWNhN<EVZ3f{krwr_y9?oanOP+5xe|=OyIq^E}1(_Zuzg_
z3Sml#n6Kq$?;TAme}>i?h=fDF7@<Dw#o`RMeKhCPbZ`+<I-!H*e<khbCWfhXNu*oK
z<&IiqeHLTdVHmdAQArx@|0bJLTkUTLAwMG8MsA;D7qwQCw<jwRci<b0Vz?F=E)R)e
zG4mB!dP3GbY4t+8MxtXO&PZRynT*9E<o095_`O#)m=RmE;d@nFNnepBx{j3)2#b{E
zOOfc1T<&Ex7F{{Q<L2RZZN$ft^_o2zqCs>guF^BlBDWm1Ri(}ava^@>j<dUO0TE3`
z1@B?czNgR`Tt$uJ;t#o$(C=b2huNUfJ#oV4%m1_h6Zd?xB!5fXFptSk`brMs&L4|>
zoV_3;4z1F>cM-o}n2lnkc!DE`gKwi=ruVVio;EDa=iE#lrgO8|d0Cucscvkevd92^
zJGRGVfV~k>-}{SLA>g>O*p}tYz4)aUZv2>-0z*;OVR%oNP=ywA`gd9i5t1>3dikT(
zREcL_QFJZC6<V@>ZQ9dr6+-8yi8h4JSnSXe5h_7eBSSG#d_O)WFi~2yUno@#{Z!}4
zMsLnMj&O!h2w#o$k#&PXl-cdt5cHR6ic9fE2u-k9*+_6wMYnyKIxoCOdcm;8+THB-
z$MTPahXbI+sRU>N;MF-`u8{WE?>L%QegTd6e<Qfb=F`W+rQKCu0$FMfZ*d|8cb%>-
z)V>6ST`p@U@FIW!|4Dih;Gm8}W3JxoCowCVl{8WY;~h+>uPZ5un*bZU+#@4+P~MZM
zLp|S}r1B2^>V{Fb|K}$I_xMqZ<~lRV#1s@3bO(DN7IK}<&4Kvf!?G{{^ji=h{gFc-
z`j8As5PpUAshO3m4U`{pVy9C@5PCk^Z0uy%x&2cm2G1(rU~n?B3POmx2o0FLyKXRL
z{k6_91bz5Q`TcKOpUg<K)iIC~>G9h*8b529>>+f?*%451D~AvZ%PT|*k-Z!3f*xv_
z2g+F|kv%#bqR7xQ74QG5c=}QbF7W%6)T3Zf0lH*EATS^FU$9$q3Sw1B3By2(_L82I
zi}_ZPw^6N;1opfrGvh6I7Yk0SD6=p>lIvCZG6O=!5F%Ua^60M7EE9*GJT`eqD&mCJ
zc=c`%<MIaw15)~1>{NGz3UQH)eme`UgDmEh8q!Bo4~xiw-md6HR9eZG)hY-vkAdUn
zN(xmM2m9c@4o~sA0p|$O_ZioaFOJ)`s_0Td>|fT^3=um9A^K%E1MJAZ-Lcya7_v!=
zSA6^Yl~j>}d8p7!m?r^D1^QOsu+#Z{DzwaqBa)jZCOu=AJ>W}lkewWiKC2`eCqzcE
zLk*;v(h{xReTOjuIqsXX6)HSqIfzinfoxRL10>SI3!N=8?E$M~vLemnwBV5;^lVvQ
z;$lWs)i743_FFC4^XpUYLaSy05Ze@C(iAGkVv^6<XYCmt`yZND{9s5o+wv{AVgoB3
z(GXqIPYD*YSW2Qr(J$yoZpryNHB##xd3Q~IQzqXM_!Q+)>q0OxZ|CIs?)&Yw{nBqq
zs9$lfviAT|nnyK15M?u-{F~l$^TH?@5XHnl^a4I~{WR#2%-QdqdczsG(VH#$R9ehr
zEX%R3yg~F6`i59?qRs-65s<MWfon&N?5oiL^`$HJ9#)V&BV<{gO~0{CV6ZJZ_~^6#
z3X#sSLGmm~)F!beTlO<4`^X1#6Od$IRat8#nOLru94(w9KP!ld_U`w6P8-sG)4(TS
zb0i^_H4=?f7u(lc*`XKQ_bWA);QxM<V!`!87#;Z_t}L7`F5lyUM3sW`Esf&&{g~%C
zo1uw8?2L5dgFi7H;5iV}@_8dk`l>Z5uL_}?YxK=MDsGHBOpPI#jj7SC+Jo&mB`Y5`
zrOd-_Oj`>3P4)30BX@HQ$(VEJ4Hc532Wgs1U8Gv~OSSOXZG<-@4RQE=zR40VCr--i
ztl!bG^|I5RBIi|I9js&3;E?_5+qcbyP}X|QaS+lUGm<N{-}+U+$@UbNG=*7B1*oh-
zoho*5rAiHDyldNJ1V+@$0&<BTFWwo*DDHpf{QuDPmQismT(fWzB)Bt3kl;EH+#$HT
z5AF`ZArJ`e65N9ZcPF^JYj6z~g1dap^Bm55-|w!=4;Hg#rs*D57kk&PT@~ZjlE`pB
z#rEda4hpbv`^XDqx_y5<&ksNYEXQ<rwf{ko5TLNRx3IR3TP6B?Vfc@hX>EE<_MaN%
zd86e1&Go2j>n0ZqF|bL3)AY~&$A@xYyju?VzG)~b+V5OoA#8h@{S!i*MtBT9KidcB
z%nJGk4?X!YiJjw;>3{L(|FN#}&(izL>K48uzOllezwthMvP1f$#NPxdaS{Z_Iq0GC
z(V~6yuuVOU=XJq;Qk%I*r+``;sp$6%rj^OKB7ihs8EK$~LX-j*Xz^-P|Kz7s51EWB
z*nfn@spTjbQl^ct-xrPiY~WVSOpQgENO$#3wE$X7g)ZFj?n1W>>2Xd>iYFCyAal?o
zJTe#(KLG9AU6?4?O%UBN0nByN^u%Rz9X;byVA!sK)*Ekn!Yz2hIu%LCQn#6u3W{hS
zf$e>Qa&bCBG3zr+<e3pZ3(7b6EyRoBz8>onn{T4;#`25vlT>qi1MSdezdp67pj{d)
zI|i%Cc&k#}Y+|bhkAv<^4U8md7Np)9j~5fUh%8Rb409&ACeT=c_y@`_lrPIU1~QKZ
zd4NpglT$S8O;H4xnUg4gC$hINz7CR-0`;(2gakt}V+Df0sU<TIkOht9pq;ZN46uR^
zfg3Q()d>&gL0rUrR_(!u)Gy|yJ)jv2xLz_Lx*(jdS)gHxp*`EuW1_^4Ezn7%{fvYh
z4F7{f!V&s<-Z~-X?}1Dyg@YXT+V4s5Qo_sqX}vVZMFa#8)a;n1_ouYQ+G_FZ4AhuT
zzeCY%-UCZq+ksI{<2+kUMZq%@!oSd4CFxpfu&QsQTHX>3PAR3ru1;*SFFQqMYOa-f
zh<=H)>c?>-m9ntQ;lJ!PPd^*{J`rm9EBk4$HzPa1je(NNL_=UBe<tH<!fRKRqwwc&
z_#wfzw|=zk*aWMMpxxzEFmib0;QRC}`!bY?Qbo*3V&ovB`*>EYW{2R6&+mB5+c%AB
zY!^Ake`PGaeq#g3kl<>67DZl8=KlKbaR(U9#WoSV%f;WHw(SMfQm`S=c{L>&3DI-H
zKQ+0fwe;eD*|`wqr|`Th9B$Al|167`YFB^z;ZI|ZC1R1<ySYt9g`#zdk8!^jI0`oh
zSeIiuzGlT_VdI`Fe|~!_U!+_^B%+gl50F3j^(zgJ>*N?E2_043_z1f2d+z}%u4ScM
z2b(x+xiBaGS7<R+A{uFOHlf`JbJ2YO6j2ciOSaU+{pF?e&|3XIw1C3xtvSqN*OOp6
zVVVXNRBO3SY8_z)=L%?+vG`lZ6wj^kaW{)S-tjM>lYQcdoOp2dLM+`{;mq6LGGDR5
zPU7E3@zw@<OYGVo0ZO%1PEp6Fh-%|YEms?Acy5$e-UdaoRe6DfXF;#Ez7&|3Rl>X)
z=4)<8BoX2N{%oqpFK`x=3aFk2P948v{TE8w$)BI^28I(e&(<B=i2^{L&eBWOu@;Eq
zMly|f<NiB+ZhTy!$(S<M9oTL!E|Pkjwv&7|c?PE8@^=n})zyxFOcK)!{+X;)_ydH@
zB#`TSG3Wg-mp23$`+XWoVFSMMmj?kCBI2+fIpAHz#RsV`qf<^`^5WI{AIl+NS)P4r
zy6ttbCt&55-twXcdB(I(H^BFIbnEwV09woDz=G626%a_^#W>~}hyFJ;Re1WD01w!f
z`b9(aH&JlVHbJme-&`GeamYl$1ZCiTYH^&;`bhtK(^6&i?f*bmM|&^@6c0``@K-MS
zu=_5-XSLtTqGH0Dhb;wl;C(Ej)j+j<su$bGaf#!OO8N&V=(cj*gH7{a2^}Y#It@iW
zr^L8Kvq}i~PUHuLbH7I3W>5FgN60AYI5Ue1vt~`!oyGs!ZhR9l46JS~4PYDV-}<UZ
zT(G4V#|s897CKYu9Zzf*b$+Fdb;&LQ7n$n=l98DR)`~u{cU%-a;w+PBY6m3pWSG)Q
zwkKE@yG3%A0f`+FDGc>hb(W(T`2`d;;;?~KIgvU#+4s)su7hiCp4zb9_U>x1jl9Sb
z^GhUt0zacEnGA`t4hRR28OyYXoG&A12lSoKqmf{#%mvx!#;2{}o-(97EbiaUPDq?)
z6ON9j=<VD@ATelP$`v&lh`?r@e8DRCyy8v-j*pjBAIPi-fY_B}cIv2?W0;&CAlh~Q
zz}t$Cb^UX;$<@SG)RQ_*gL)B}Sfe*yN<xrgo252nte{v(xDG?lTSHk)wW1(i@Tu;j
zR)VVo^00^vW2{!P;Ds6T;1V&gaR|9!*uu+X_B~?E_(^Lo1KUES#JsBkG;)ihiOJJI
zlYl3436aEh3(C?t5D7KqO3y>iB9kH;z9X^Q(I)x+ImgbIt{g>ib&T$2tYW3LQ5N<N
zCF5CCn^Gt*M3HH_s-&|i>3XJKz+9G9y$5^Vl!!T0Q0|w!H)O!`ZpN#)u4*4m=bd7Q
z&ttBO|980i3TX{l<^sgGH3&Q@g&|>yir(M3K6;OJj0vh)q-|Z_CvdCMGeEU*fc?VQ
z#|?x1A80w+_R(bxxP^;1cGr@SWc-d+1vI5^)KkA;O;6FRh}JXw{>>O)*bgj9D55g!
z>d+k&hSUgO^;B}sRNEulWZ^JIg`R3V^DlEowJ=M})hP&Dz1zF{tjDLDuQQ`2oiq5I
z1HaR0#>WdEVM^R2lFFQXu6Eq9h)OV4>s_v-dmnd-a)uO<r0@(&t#Y%RMo<bOf6qaw
zWcsgpbbz86%fEkEX<=ToVEz*4B4Q((_OYNsolV+8?+0jL09z$1ha2Mr_#b*#KM7EL
z#)(J?r8y7L0+S^+1nT0D0<hmCuClnB$z{Z3U^}tJiX*yrLFRpeYHO|%HhOG=X04$7
zd=r8t2cTAEc()~v(OLwrj{;0P69C4fzOAiI#7DdAy6^pek?1QaP?@AYujK*mbv%(Q
zMgz@vcC`O}?o}ut!?p%i)*?4mR8@68@8$IjKD&tzZ9C{Pwto5NMRKnJRl_Rangis~
z>K<Bi5)i$6hbiO<xE(!boXVGnJR4(tZ+ps^8vbYHA>sY=UYt1bm-GH_WGsoPqibtx
zhm`-6JYfVt%QgSZ92b{0?W>d*0lnJYLF#`=oHc8p7lfGwqDB`M-0^WTB&bXoUc?iK
zp7FmrcaM(hN|YZ7fBpC5K8<#+wljtUF6jN4<>ht;|MjE-(CYOw)dUzdJpw5mjQ+cS
z|JKvfVIidJ^4+`{(E-q^!>8jb5`#5SLPvYQKT?8dAvTq~2}<AY-zTyxNa@b)Ck<GB
zc{NzCzYR#ee_-*PSk?O5NB7#s`7<K>+s`M)T*GsVjTHbb+4CCt;wp82W?3k+wwkys
zIamwWO_hiB@Sy6m)Fj*{K2>&f;m`e?o~!&CKRYp!lUZX50uUzh$>FAp#^WlL@~~YC
z+swzGcZ)&@*d|zH$drlYip2^;vh4ADo6t;nqO*0Wrp~{>^kF*9++JGFL}lK~$9v1b
z@}`O#IvJZ_#-Dgh(MGVx2kOBReTx+&H&^1{JEQK>R;#5D@)~r}{^Hkp!dV)9rd1eq
zf|dSmq;5!`yj1?A9S+$`A>xyVPUFyge?-52=afi%+>-yL%amaq;l7czCw3l_l!f+$
zoF43r630kq&k!kuug!gV$4xV?P0+XK^LjfxUWtX`CfWiy6qR_rjGnL9A}|76^*&d{
z^W46?8eF^Kh#Jsm)gki(N*{sf5X}SQiYMx2*|8&l3Cm2W<yn!v`THkNv8jNGUdquN
z?UbK(;2^g%Q6+%dAphf39OF1GHtcf0m``u_F|5i+ESVTBt!gfVda2`jNzfo}239S0
z@L)R~GvwgrP3`ts+<rD1X?l)SWW=OfS*g1&?4}%F-dfJDKo%!N#2IYclXl4_S9bBA
zCeaG6Cd`soz9w8O#yM_$tQGM)l1;M{^~yZ*P?IWb<bKwXk=ML<;5A<NGkE+Oh>#C#
zS!{jxq|4z^;(yk(fpw9BG{jX>1<mugxp*;t^_uYSmrMo`MJdIhx~k9uwrbN;Wd^s@
zEs@kVSQqPRcxftHcmi+FU?6$2@!}>QtjCr1h_eV7bmi#4YdIb_>A#gRv2~lWQmoYa
zGiSY{9eKXx>a-L=h__bw_fKK0EHFG~E?bRI`4H60a{*0H2?F(#`e*Y1y_Oiz`B&#G
zq)9xfpWG4wH}Fap3R+~6DGw4~UE*`>QxJK?)n`-{M@D9x_6z4MPD+{_0=+l-tS)Tm
zXvVgIUMpHKwyG@Pv#S>(BUMw;Y$nsz&$Ym?-Gp#6HKlw?bL@ww!xncZ?LOxtt>rJb
zPFH*I5xo+xpy5BoNJzyM_{5ZS#F%JRg6~%R=PFq^yBr<TyBj$!JwpCC|Jm-Q<4{cN
zRzCHd^9T*1=LtEyN^72%GagDXrl}JNi;<8{GkZh+8Y3d>9pCpOFYoDk#Oc>e(a;}#
zZ@r$*>-Sau{89yyD7ikOqFbREg{-+r1zlMw7H)ngO(1UJ;DSFvtHwe_!LL_FACTT?
zqq|c1V$+XNjM;zu$09Dtj~SzV+*<l`;dVEBLOZk!d)Qrskf_5@O^Xo&1tGy(Oc==`
zFPX!SunU<yK5{{4#kC*m(O@J6cjC$e)}lfZq+V&2Yka#aK)b&=8j>(6UR3C--*DN?
z<<gd_1w&-i6iR10yqKy9Q`8ek{k2Iw5g(M!T)nSc#s8b90c4Hk#7X5fb9nj#Dm)V4
zTffuwEBXKY1bm~1x(40S4FhqBsUxPp%dQ|zKYx1I&Ntvb{_|?MM(%Z}`#gnGH9(}!
z-QxM_lLF0*IqQxQIT{>w-Xq{GbdEtV-}>cF&--RV+FatF0~;rIzP%3X`h7-|2jKn6
z>Z*WpI<T%i+&3M>f1U-{SdQg?K?MYuKmFBS&MSe@^J^QY8enDs*h&%s(Wk!Zbn$}#
zT=TYRJOUZi&vhZgLTtyqXxmA~%e9;apdRA{*(^SruA4PA0f7==t-6}pT5z89%W-v4
zkF|E;pRXJ^w`h}BPf%^zk^#q(9z*K08)evJ5SgNQNQvEu`TAL7!C|@iL@oZ`_U}$w
zHE?eoG8mS`;IeJ4)-{YEBJ}s3UvhlV5McBxi0XJF@f3@wYN+QnAl8SrlZMWg9}(N^
zG{Qn8aKtQ$rwmP)4Lnl|>MYS~KcLpNWr|k(#94t|D=o+DddmL}TYKGz43*JQ#BEAR
zxI{(4h6IL||Fw7qIpkg;8Tl};0^OqJh2$doW<<;IT0*ogcx4fj|HOT1iq<f~a$;_U
zE>V90CG)B**B+n$&g9F(I(4sY`V=WTLh>)uP+I2(EM$sYeqXaLgc57o8hKj1{2sTg
zvYvz$Q!q+eM>fx;Crik?_R!+n=6#$n)hOJ4eWJ*W^y!UWY>iAy<W*|LA_MK4s>(Pf
z%Q<_Q(_SJ@Bbej-;bC(8hKuM1yzy+dNTyb1g-OFj@ML+Imkv%2t(xTqywLJtx+Su~
zr%i6_mgTohH#t2nC-x#EQN1gPHOG>YoFP3nGWw0GXc=#df@96Gk7QS_W`{~ogh
zpU@)y)V;~;esA!DvX9r9;K?Gc0V9p?)B~^UdSk4j(ulr(nXT*kYpgh{ZH2K%qye^)
z;7L{>QTo?~PTes(TP_+MBWzOig?Jk#@T9B(n?Td(7kH^1%l#>3=KDaIT1Jd-Wl*{#
zg{BDN4mzN3pVXD_rf0Hm?x&yF!#w)r!#$)hPR3!Z<jfixG{bP@$#R$RyCqOO$juGr
zj1h6I<++P=hb9aN=z2&E?Q~F26D7$6eg&mHrMeEU&t$v~rzY&Omcc@Ug;9^0w2+A$
zfQ5C$z}7KtB<m6_)W-3{m1bKm4Upt?y)tn3qtuDJ3qLW6iG&y?aknuKacAjOap4jZ
z_N*KpbqdMr(M!8zV^;Cn;tW<S5ea9k@<8*1z?~XX2iBszRouABQiU-5;bx-E5le5O
z+73n?<H(c8GO!`%pqY)1u-)xdhk5AB3eBJKo69<F9Ha!(Izx}GC~HjR`ibJ<_hICc
zYM4|*V`9@!$wwv4e-#kMbV#b}*`Acz{Hi&d8E}jK4zu-u^9{4hCO25D8t(+URr58p
zpH|m&9?vHN<6=T)Quw6zM;ybAAJ$17PzLevzp*%d!iBOguDY-d2-<POr`x=2uTwCq
z@;x^}F{w7djM<QJtd<{PCE^W{lMU@3^s%yi7pG(-`WN)c`Y=<w7L&pORTxfF<(k;-
zzvu)<VvN`R_W$`{3~;i1+VsAU>Ld2{G_Yyi2HV}t6F+Tq{v!Y9es^H&dV4MU8`y65
zWcdBy)i9I`6k|tHFKAFka{a1pmlYp5Z~8d|hjTP7{<kD;yb^7j!t4tuYCjym_6m76
zlr*fIe}g~#vz$JY?d9~;x$ZG|ULFAF`qa+I`_uLB<&9^C(1Y0LmuI#n*P!l&CKsQ-
zJb?UKirs_ZEqrhaSr>#LNuyk}R&9<Hx1EQcxv>fqASD}Sn5P+*;iMAwO*<CEQ5J4q
zd1tH`7WtzB6uDg5GwwFAIo6AP?f<k{u2$<dCFW_YuRs0Q!g&tAfhn5Cypr_Wc(w|r
zBC_R)AK%_y7h{6F)kJ#Wq95M0-tvy&bZi}HPlKR~F)C;E9*p~qEl}EaP<dlk7?Oq?
zU_$q`Z3xLsZhcZC5d^kZxx5>{%a}4(Eo~(F9aMd7C0F;ATMo`KBRF$wEtv`LJtaFH
zFbr=`F3F!7rJNoxN>`<)MAVT^_Ile(xK~g6AcQrjv5~<FvdZ?&TJWkCt9b0zy|#N}
zJ@%gRk{dohxgt~;?eQztGOP5%ySdu-8+6aTuDX@i=mnSzL^IhGk6%F{YtfuhpB$|B
z<O;Rw_01{YN1@7@S3c-^@)>(<QGl7Zy}<j(Lq>zvtc$+pcD+b{mt57tf;ddON4dww
zCz<H=9IH#b;HEUF=cezEOBWBp2uA&_^vr%$hsh~_`IobLbm(qd=49v)nKaEa9a?<w
zKBb`LJ<?KEVC{+!a%oeBCfQI0z)1h{gUB?MLb}aP<#AD36~i0|oqujJZYb?><Jwp3
zHqzcBy{%BDW%J+G03p_poY1GB%3IoBsa@Y}ol#93yxX}hQ*hm82h$VR1unw5ONmKo
zxW+CRb~t|0$ez}(ie7Mf<RmpHS+Xk1GvqWBs&1NF2}JUIs*8sla<Kzp=tzq8RT`3=
z99%rw@OOqV$u`&Ymp>%oVCO`)JCuW?YtkqwqwxG3tI9AP=ZXA02H>QWF44h9`@(B2
z+|zzUCOH9bIN4$zg(22Qzj8(M7%XPRY+Vn6pN^nmiBQ7bKSxP~DD5BB(wuC)58cOp
zz(+Dfu{-S3WH+vAB1<jSxIns`E-dNu-n^914*<P}uXeUUTVRfnToQ9i?uWk}x!P%u
zn86^iMW*?pgQK0Ev@<4CBK>DFn}@_~*L^Cx(T>ma!(Hd8kpo8Sa=})1-<IW8b`kv`
zGT{f@vh;~;w$}m=hR2V{^Q9;6QG#XQT_)EbAW6fSafAM!epj>tIX{Ic=9Nu1pP2$O
zo4mFy<+t@;@l1DzV1885KyNTsU$Y^NL~h7xd7n_pU4Lmey|Jt5IdcL&Sge_MUn}W5
zZIYX3;xhj9M!J!iW*`@{620crPmE)OqB+_I?vy@?zFyOX27C^G(^OYhl4$FJY^lOa
z4PCK_BvuaWbV*|<M+FQa5O!;T7m0<XCAZhT+h*-<RIB{cciw;M2sCEz|6N7tCQ>|m
zu7rw^BAS%8wD3(<n`V`u|APjNw?GY*y?J#PuLOj^9l!at1Qbk9_ie3BUtwP=6YXsP
zbS7>9OQ`$9>M@3rk&)E=FOJwRb&C}~KLCB-ue+&0U5D!yt57c`+!lVIo}u^)bkReV
zEj+b94Yl15tv>!)9j!hE(ktSXl4VSp_()$ckRjdb^7Z4hiSKjk8)oUSKV2y55cqG!
zCsVfY_F60_D-LjT<gW!>Xt?OS0p-=xWqsQhU_pYuRS!{2-ZKi6P+lThbWs3`|11>t
znJlyC)=3tzZR}#ckOK|s5xc>d%>m+M11C}XHGd}5EeM2ckx?^#*Tr#efsT6Am4|Ze
zDEzjmKzePtp$cboF{rj*mB(1y{Nj6^Oz0Wg=EvF{2}W~`7)2Z%Eqaxj;~NABlI&XI
z{V%fPk+LZBZwVx`Q1(vh=^t?j`5^uen)7>ocGouMe1$zCdD3C#Xs~lG`sO+A-#>#1
z?Zf*mdw<<v2ZE5=XKJQMXA})@`f3`SRpCbOSTfWkwR(^G=2JbXWZDKyWjyi*zF9KY
zZ?q4<<Jv{G*K4!o1uVAbWw6dN85+$(Hb~e6q_TA72Mz_w+^pdyIC+uOQ6tLc3?*7&
zH*7`H_Ti^%k0sNBpfpdoY^;fR{W??CNKBazJ}g4v4IA5GZhRmjm?Zt1J$fsrez-;^
zA?cwI7D>KS^tX;^&qli~S6Dpv#s<>-NyU&6eYVrOcjD0BmDDuT{usL;ll-jc@WgUN
zYq5j*#xUuE=Pasow6Q8bGKJa=qNksiTONqzFXOn!7vsbW`wk_W)snY)`*yExEWhP4
zydj7}S#wy|Ok}6XHz`W9PjMq#M01xZBhI;yM8#K--Z1NpS(?Nr7c->UT|s$q<+nxW
z^ZUdfC8;Un^W+!~n35`fs0uN$y=VcPbp{XSF8e3W5KOd3>W4R0ydPjZ=k_*v*8Q|f
z$CREt4H-Hw1aNfEbyL0QoyM&D$!EK3%n5MN*#r6cf2s>(&Yw~~nNczc?BOz3V0MyX
z4JPG5Rjtmsmd$2YTcm@;0}aLxGh|Q}n|UG_WSZQ5dO9B-8yAC4K2@LCaE8gESqrA2
zntnT|T1c$nbO9|`AG3D<QjO6uv7m?VueJK21QOfo!nHw+w-LDIP7`cJfNd7{r1d9j
zUqXcje^(LHi$qq8|6<Uc=4r-w`d6f~sONSR8{))DQvG1Qs@do-c)@D4mdu^P143ya
zCjR;zD!KVOd3qz`VAh>MXElH!Lm-?cV!k*JTaBEsO)ktj%W{c9CHh2{)7P^8a<wo3
zKFOneF}r6JDyZ9(rx`hqH{-q&1Rb7i#^KL7uroe~=`k_4$dTio6@F1P`)O~@g1p8*
zttbHh5NYsadNq7`nn1LeEC;+ng2evTeqiYWo0c*lhnxkzZ<xztbKkVm(Fb+@h)4wE
zXQhYI;BY!F%HTThP8$X9@+%VKjs{cWH8x=R%zY|#h1IOq?#qFe^cvC&aybkfOCP@A
zMYKsf+avLHal&8E-#p$=SKi(OBlUnm@6V?{88GKTFKw183h`Pw5<v8OKLA-tI*~B^
z?U?_?w*CVI{&qdQ{fj20eZUoK>tb%~<c}<lF_2D$_y_$3y@~<!(gTcE{<b~`Tu=T=
zu;Rg)#e1oh)LH(olIp|e=H~NiQ=xLcX?eoXw$nC+edx>CR0W|PBMt+(C%QnIq`MkJ
z;!xs};*X_#(Lw&K9ubrDe7U?M^9hC5;5V(Ipss~LP-Fxy5bq9diYZV|R8y@qN{QO}
z0zrzvsnuxPu$BM2U>O8*$1`DtUcZ{D;bevOD>AC~s`WG}gz}DzxNy5wlA<7dcL4>4
zV9`}*Qs)@RbHm7os)Cspsv&Wf_N?`T868c|C(K_JqvAbkgWrysS6*%5HrsY4qC-Qu
zu?z)6w)dtR2)`AMf`o}sg&)&ErUNJ$$nNy6>=X)pqLQ_NF~-n2xXDP_-9DV$yoJ!4
zN<ekEG3!+_Q4EDSN!YCOt%5g^JEb!NT^38ff&#_PgTuK<6aF`<AXmtOm1UDwPDV_f
z27G$&nn441foRJ_xhN?oIYq%#yd@h5<C}l}uYGnAMN0KcZ6ySIY<T?%VIO)aA@o8&
z_YYyJ&P-jF8>}J@0baFWZDy^pXcXd!jY#B`7G5$;7&}R96gqLz#{JK<95J}2n_Iyk
zeq}CdXEBGBoockWN@%DR>B%0fD))Tt788`S065Am8QTa@OUN=Ljc#3u)lDw!!ECX1
ze$rhdtU2t0&jp3&Xa}yU#-yi*#w}xHga`Z++b+aEp=cm46FP+W@*v9;Yue;`CcEB2
zv(83iLm(k#pMt|iiqRkM5wY;c&9pbNyNJhT|9H6b@aahBxm(i8;B+z_((SJb4Ze|i
zkpKj#lukVG68Gp29Qn2IpS6soJ%d|{;K7)u@`LX4UsZ)cMiN+saO^@Jq=llx%Xy;A
zzBS1;`HxD(at1z~hJ#Lt68er5<fl_3l+Iski^rR(f6uMqS$~WzONVVrJ$AKFOw?+a
z88IUAi$q2IeY;h0W*{Pp^F`GLT8z~HiNZMSleNz8=F@7W{W3O<aYy&zvrtY9hhd@2
z6>q-LD+m+|8cKVM3Uswffx(U)Wajrt#}ZdkO`6Lm1u?&dr$$HcPB$aootYopS7YdO
zTg%v~-_1M)7wP7>)s=fiwYabw`aN@{BI%Ko!}5+;y*x4fV6_ubFf9pzuo_g?n5n(f
zN+Svo<IUHg(hW(X{$jdXk<Zu{#N?81--aHuz;Xq)n(T+na0~rfl1_q$e`_zt7J!~j
z$@G}NXdhc`hW4$Z@SURB(T8{?4woE=idr2<09?4{r$T)D+*?{vI89cdd7`#nZn_Ae
z%1FxV<XJh1B!0T?16C!acQ9UVb`xacH5{0sDy72dL+pg%e{b`-SDxX`F+f__&hA7`
z;`j&rh$6R79S{HF(hNWu(G5J?e@k060Q##juWfH|3Cl~>Qf7Mn%G<;Z;QIMEIp@t;
z8A{#FeiP_ni~WOTTljvc$LfKoo@>vZ+iw~AI`=wvg}8)Yp5E{C&Le#Pa<u-X<JT`N
z5}YP1po_rio5&IG>+LlytnhyF%2R34)uWAi!O3O@pq&#v1}Zba;HBm4W~Wj5&b}cm
zo23eIe+m8pzwRn0R~M7STm1Nrk3wfheAiNmi(HhVaZAl?zlClkyJsiPB0i{s3=OkO
z2_u0)2`zyB(5X*BDedbq%zOM#B{RPBOR;IE?J2Y6c+MKuYN3V*&Lsz{g`$S{S{dj!
z54&^BE=ve$GKPUOTe)6eR{2odIWEHUPq7s7`UjzTOAW5qUj>#Uoc6unv}_ODHmy{S
zm*&S)hj#uENbf|MH^tjZYG4w^=iF#83y~RMEjtv}pY}^K_V$tp`+gAS#!zZ|BqRw1
z-+hWb&1;Xbao_yduS(tZTVy(;GA2A*O)OoqUKOzobwoZw);Td)KcQ*{1-yhW#JATj
zlobe5z@e~U<6nb|ua_k{Gh#jw?T(w$ZdiH{XCPL&8~<4)%o9(&h^>M3gYR{T^~ZF5
z{guBFQrs&TZ@r3q&vOrx8E%Lh5QRCNwIx??XX-IL07@)^mU0Tmx1%=~I)6=C!aSMq
z+gHMPLZ9dscD}D>op=jbqTUZwhRByZ4~*`gn@3_!P;$t$xTRzRh;>&z$7sRqE*uu$
zybf;NKj%qFz?qt=$eqqh$hF;ar}8@AqYp$+#RkUEFl$a52cA_|(paaA{4D1U!i}7V
z%ir|FWKs79@7cQD?JWK-v#vU!Pvxf0|ES4a2M^_FvBLS<c+|I3M3dj&snCZ)cNM;z
zGIYf~QsPVrIbN1lTFlt$T3dsC#5gH{mpfu;RzYf8r`vs!XgXUv%nH3mpCy(ph)#lg
z!}#?<>PXjOQP{xn*7%Z5$LF8}PC;t{N*3k)sm{s|taCV5;S-l0f3IW^2C)>(-m{eT
zRFXg+Bik)xn&v5qBm80st{bS8XcNUjH>aG+o%&j$u5((X)mO)cnS@|4gk<VbyX)|Y
z)?|=*<=0mb*+nhH|NeLh-k>=E;j@4`gk$;Xa+m1@)W~hPm~q?j$|WtivL%1byDs?X
zwp<*Sho95p(wfvK$I+bNbww2-$@B#D$uR#CqiFY^Z)uWinHnAbSlhat-KFT8c{QM9
zNmhB04_$I_vEB?(J5b3b;cv=Px(awAOk@{gSmICVI2B^%*^31f_f-9(Df|J>wqqcc
z>Rp7GqvP5BOtD!Ju&I3Yca=D*FL9FTr7W1^1qfktqR+co<zN0-vFI!VEAl{iz^}!{
z#7T<(^F?}=z^XjpZ{wMzmipI2oUtFU2mlCSHpK0JF{zjsXrI{ht~+sBuX`AEe|!Us
zp3eRS09|#U_bRm4QKz|}YdfX0bL)D?upj}XdUU#r{DT0`tkgAK7hoav062d>IncA>
z%QM9N4>)=4JQ#_-fD2rs!~Y*$hT?@vRT1;qGDYitWr+^sPZ(zZ$_vnQZ#(B-W3*DV
zgXT??Ig?tR=!_W*lqu9h{FwppLk#BM$~!AnZv8>FWVxb^pgB@}VI1KeSqM2<K5t~a
z6}-k}PFRRky?v&l-=ZwZxsp>V(|i*mdUwHDD+nB!K4@;=wR7-+m3T>w;yk-kaZG<X
zaM%xO)rC;#uj@srP~Lmp5l{T50}9Pdhgi_aHv=U0V2ZOvmPcAaKK~t49VusxGFna$
zf-#d4PAsu(n(*1#Wy47+E!{zrMv4?+4g)q*%u2T{*a1U5PpNat)4VxXR2<W^frfR8
z)BirnjZ8SB8onvm939!vytb)^UjG{XU9XXsf9$DIf6EAA@AQHsR-HJCxuQLXrGb_+
zIIX?lTGNL@Ge?Ex&0zo;O_cN=ZfjaL1w-qAn+<$1TcLUlr`r$pFrK-33xgXJt8c*)
zydweSgf{Ue9_17!fhHJndXI*S=qEL&&Lu$a0;@PIMaa3Cx{nR}1u)wT%hV_XwZNJc
zvQR0?TufiaiK;U-veIP5N9&!?ON1!ElLgIV-qpJ8H^xGcGK66Z)X<^q4(*b=if2`C
zXUt$pS#pduRgjgpSaMt{qEt|LAfhp77s=k~-6&)0!>pG?{trLvH{P4uMh<H~)F$m+
zc%TM{3H$zTevjnFIFkB}fccXh%TC2i$LYdjXU)DuVDdm9NNz1n+ZR<4ks<>2)L2KY
zg3VJQ%;z3#t|HiEg|JBgFTJ5E1=I7on7vFC@HU!QS;^^X!q(WeMpvAO72|yi1xFIg
zEry|SqNSD*u+2LOVGiXyQK#Zv0a?*Ry{lWr@PU&Lip*|ArRhI4Ff2}oTe`{5jEf+<
z9<6O5x~uDiC2*XxRKzhGzDYVJ^n)WU&!Dlrbeq8^#0(lDHO`kXj3_42j`^7`0&S%E
zo&Uq~pAZCg(TSdL3L6=_-rhfgX2)FM&y$Na8nI%GEi~s=wy{5KNep8+_9^7^`9}J|
zmKYu^hGZ+V&W1vPlxXk=Joa7sZ|r300uzurRUI8wV^WI~f@M<tZdkRtmXNNy8m1Wr
zs^8bk_eM~@4H9kOHotcTFI^}1bJSBjGRw(uOw-P&(+KrvcK{^s`uX0}v)Mfi<DZol
ztpW9g7ruq$41gHKaGOP`=X{?i&n>cQm8qzcm)o<S7ocO_I08|%k287?GeCZ-S<&(J
zX4K!67LQG_W)oLW&*lkpZEL`6%3u10S}CWy#%gH4et3M|POnzMB_v#K@o?oNP?P#{
z2$(rk3*1#p@0tL%B6^QOQF_^7FTX5-1VFKvW?*Ygs!)R-grvJPcO#Os!UzF8D*ppw
z4mJQ`P4}N1r25v2Qk+HFzpYicqyMro-0Oc|nk_hzp;yn{)-&As5#PU$9niLTIX{1T
zRA7{s*ZcR1E|32#dF(mSX@UZn0ybt7y?ib}ode*U`|90_E0D=C=Nzx}9P&#Ut66E-
zLosjfDXf4=cFTr7n4KFq7Z>k$`u6=2tv_~PL0qm#t3-L=<$8=0dcxmfy3DXkk%fb3
zEq|kRrt<}AbAz|m+6duN`R)%*oeKe@Ukoe0?l4iUpNtd7_@t`~9CjTWf&2jyR9iae
zm?|b@G<Aa46=M$HaB5fv#br2GbAUaHio@ydL-xMCc9jV~)a#Sq1h6VrfqcZbQVUcH
zjpWj%rVadTVvMS8yVoX~Hj7iV1f7S4lIW)R@w5df;B01fQy>UjJgh3<R_zh1Il_RD
zN{5wkPQlC>->>#zr-l51<@O1po^R-&RuvEm;<Iowr*uJpU!Oe|r1?g=*Ynp=_JXqS
zFHQJDEJVXAr0cLEACqd``Fi$|&0Mt?N6C6$H(!+Vy+{803~J49BC%e}RkV4cGd-x1
zzm%x{Naz=EwU$-cA9JcG#JDTmmkg??>(~*BlZyXvEs7*tG!yAO%>Ixd`*-SrNeAo0
zV(Z%#mY{`f83}B6Q`%1ORF2F=uJw9zePk)DBB=)#hTzK2r$9OIC6e6mdN>KoD}!uq
z0zYb!?6}zTb51sB$$T8#FuDUndMe0|TQG_DU|{Qqwwud?8n^ZSp0*jQHz#`DC+(v3
ze5iWk9#InoO)N7fEf;OWwl>PBlq|NylbxkTz55O<m`LyS;zKnSg28+#?y*jUDDV46
z3JsXENYLY2()v;WP+=_QG%nJ7)Geee#uKm`h*Of{V!srU$Cm{D{onrBTrnC_uyd2w
z@>Uh9@ztoxarkvhq5`s=w_o@g8_dy0z_GW+50*l1Xj00q9Y|)Y8|{+O$-?l_WWfqq
z$#he7Qdas+y^l3Q2$#a+!xXh$cxY2sN)fA_m`<7`Ju;yNK4lOyLuoxrPGRbR9|#YT
zR(nO|mE-dvwaJLd&Ip{eD@0cvmYS-ll(<tAC{2f<F-S?ZZEw^`{yT{rQxf%&**4F*
z(WZJ^Oaf*?y)G1+H3*_}<T5OnW1QJrxkHU|RZ-$gE8VI@Yr0w1z7!!t;#b?bazpM<
z59|3=&+@2YGxC`bnY+ybLd<|L9I|iyhq5pI0Gb!<|JgkV9II#i<Gp<@%GL-3j;)*>
z&Gy*;OQ6ia5wGRD0Rd~RHzRhVN(OzAgi<sQCl@dzSO_$EKrEY`wsjX!leGO_{;NmL
z@$ze)CsDdIH>TIm0;UOZ;`Hj%qvfACMXTaO?pu*OM-BdgK<c#yHSx<E=n=19mB%Ty
zoxE#fVrEt<pEE0WIo%onk~&MY8y&K4b=tfhh#w}1bs&pke?kHr{9ZVf8C2r6c%}Vk
znNq&@Z9Z4=mxlwrRlqRGicY{&?xhGST(2MhhxmEMqQ|#hji*yA^_CM0Sks2QK~b+b
z*%R1eX*?hlqy_iGtp?zxDMfH7wkMaKIHp%(E7c!!CRS}=Sl(37gQ_RCEmKAxZ_tNu
z-4pTkKSMD6_WYhe?1JVe5#7(_Ap*P8gjVKEiUsDCX8KD=x%m`@qP4TWx`S+EAH${5
zPqyyHh{re7S8t<1;L0M<x`bNT0PTvwH#igvdxsKPG5?T<+o_;hx3wQXb6uTMB7=b9
z0Ty<ODGtdP0dihzgZ2AB31hCaPT_QlY?Im3t-(Z9DlF?H#w@pZ(GX&sSEbp_C!S9^
zLf?H%&FelSdr&*?Y>33r_-QTc-D<EJ<_G7GVq2k$WL39<i1ru7^+jC4?7|K4jYYJ1
zD)NY+N{ChehqWSv%^1t++$K1qX4naQ_l0@heA~&+!S9pVe1Sf3mhdVm^zJ$|+kCw|
z8?n?ha=UZphiRaYcFA%oFX$}QuF#V3qmS`o60p8=KK6&cb-{CpsIABkM0ZlNLaINI
zJEHeRg8Hu7<)l_LRQd?mV{#g>kP7A|3ubvKl%1_lG+<Y#g|CI`+{}x^$Yb3U!U+35
zG<nP#*WiM$EYL$pKe!;b<Heet#=z;#hpDwy!RwhY^M;Fho|>7}Tt^Xq2R>fA^vx-y
z*mP9$^(zCRA~t&M4`0FTYDY7q7O0;IjwD+5nRc%X#EFR(OL{^%AuSH3`{{bckm%qh
zGv~3~M3AJ^fjYTq*(1a_!ZV%52&J>+qUJ-xs~=Txt4=%}H!DG`L6Mz2#A-E1e%~sH
z7ih?)tQ;(ADW3`|x`_OKOC8jFq8IV#jyYHI?NC4yg84voLyJP#$7LoXs%@c>2!5|M
zP_-q4WRNSo$tfutoH1mu#}jL+R%sbh#UZBxGa~DCHsmjpS6DbWb^3MnXHM5^&hN!8
z<`ek*)Hrsh>{qz4Yp&LAs&?&Od}ufVJ&D}CJn`q9!5g1tZE-E(8grO`T0tgSF*-Fp
z9SDk-(m&F*of`y3(@9#3fcKV}Y~Q`LRy~eO@_?Tc457=HS6T;=PBpwv+-Hu?6iEcq
z-{_}ysr}(uRK@9&8>{X$I$AH2`j9CEiR$g;v&F>UlUC&zRmoG>VoGhyQc?M8y28g)
z=p9kqo3CuIWu`$gC*2p97z=rVtSurj;uEt}$sdJ7(W=~z1&&{;i+<*>sQ=Fg-+lCy
z9`DDV?in997#UVac~);mpKc4sv|9;Z+NU9a$z`Mgvg5aagx95u9n$aLFGbm2j$UQ~
zP%bdnv-Pdc02iwh8K6LYKDgW5+MW6W8?~<iV)#|127SELh>o4h|IEb7sQ{|z!*eY6
zcGZ>mTz)JdFDiNAV*F*E8QgXtZn0<eCVe&8`yrM}o+0CZx+zKE&99J<kf`&3@H)U3
z)3n?j2xhWoUtC)9yh*=govSrRZp#+s94`*o?(=w!krkcaU2X|!-ZX6vTD`=np>CkI
zh&r4iRqy%4UbD_~cF)h+=JBN-R2x_-IzC@0vL;_qB+Bb17M306L-ofGqVkK~d;*WB
zM6?C{INT}Qw>3sCm8RwmKX|q_ZPM_=A{|Ntq^6tcK3X8Z#}PiR#D@P6ueB|ZyRe;Z
zQe300OeXt1?#Jy+7%IEJ9UprKcloezCk<usOC4r%S^LV_U04l5C*{;2>vr7hua-2H
z>(s(#IoU0^JypUkp>LTTO&Cn1z8Jnuu=|4}5QmS?*x^GSnBe3KD2wDiH?i2OB2cb*
zqlQOq4H8Yvft1g3>@g;`5eJ3D&5FH$LxyKW(5>=MPuZepNV{|6{0&#Qokgr^>N@7F
z<Bye%3<WPm8v->{%REIy>1E<YK9EeT!AT9`N|Of9xW2OomxMa4C!RFT<K)x2ZiJ$u
zFKS*#f;ejaV)oS)F3`vd&40t=yYje-8|-k@Q!%wp`Q94M7fYz8aHui0FVjWul!Mgg
z`6HfZb?kNC7lEmbvepYow^R}-o$q@jj=<W6FEf^4jEMB(Q9-wS4w67s(~oWJ9IO7m
zio@+A9OX&*>Xo6;F?e1w{O{s>ka$LE?231}faQBe*7)d^HHq{A_=nHpWBZ7WpXTU~
z2zmX;D=L3VhVl7rHq7$O;gL&kS_zVK6rE{o_|ltySZg#E%2TBOtTkfoPI<`vV~$-k
z$Lzw&3bKNrF4&~3D9MzMBFH)4sdM2iC|QJQ_(n1JO$DKvUxsw)9--lJ&7MF)f?Wb(
ztk6OXA2_vk*IZ~rR-__;0Fh}NUwo_C^Np=M#Z1Mux7dA@>>XT2_acl`OciuQ^6$p4
z3YFkA`<?TsVdvQ0@HQm$z6_<!$y(!hjb@lj!ufhfW>9R4i6VEbdB(mFog<V{#OB&c
zbTk8bJk4Hbi3f84iH7@vU##-#<2%HGk`yhJkYVFoMC7-6<Jojy`1U1QWwrXj$_q0h
za*8YFG+nDrH)<LvgIMW4=6^&{1_u4V<BC7-1xwqGNic^1gN4*C3FJ*8eOjv2*Pw60
z!xKi38M0DbHOa&2%7A59Df;TDIHj(jxS&c4D$|ckDDDTqv>Oco0^GJcz~B~$Wpuja
zw(~kmea>;!ux^zHvaA0K7{R9Y#B0wch(M0K<I(4^_A;HHaZ0hVv5vDZ`WvA#FVM;B
zR^4&|AcZVK%;=;kDHd=BX`};lJ!eR|9L`q`RgTZixjv+GFvbbI9QnWRnlJ~HIc=*?
zfQsAh<a2V!b5<%4Hg*rB<|ecrXu`qzNfkbOj3io^0iD+OmNRd#zxc}`65fVA;sHj!
zS3fvfEGj*cM}PBQHRk<wl6y{nJU>6ze*B5?oYDw$@^4w@;G<_)pS$FB_osf<>&`cc
zTL)JM?cb|SfO(|*^Xi447TO8?Ur=k8)n<NqxNrt!t)=Om-k*)p<<Z6uDm5A0Awo3x
zgB9Kv|A*!&nJgClROFzESdTtQYV!S<b?he?B2wxIx&Feo$6790N_2XSd7PN1`Y}wb
z>l98{=M5u4iKU{GG7;)?N8@%J4hoT|uZ#|l<7>?$g#mOjmB;S@2^VX#nPYwpcUeI4
zTbA#%^nVUkVA#4=8;aDM31eD&Yd*a}%lq6pMZ3;P^c$JYzRM<a>Tw4>DrhE!wf=1_
z_1t)XUgNP2sFJN&KFqpy=o~{*`XM3Z+FJ@yuer;pgWexqF@z3V+`mNcwVxHl%F^q4
z@{dACe+hQS?<axo-(Y}&sWiY;o4V-f5%y0*=px=8{B>hLAd{nH+2Ga!`h$*CrxJUN
zI9SkySwL9P<EGL!3$=Uo)`JNZwY*nj6pO>^TMbjCTFC+rIbDICqvmx&xc-d_^rM;7
z1H_4QWmY$a`8zVbAVsShB9E*250Zk<I&G~Rt;%5skju5uLp2s7Q#)9Sm@o!dleY>O
z2wS;auqN!&8hEJ`hVB9vMu$$rY*MP7sJ@hhcq({0K@Y)bs^I-O5jagzRfUbjoxKL!
za07*99myIOCLcL+&U~JB6ydGD+&&Buq1hhrXRYLJrSElC*~f$3NqTRtJsnhKG-5fB
z+XA0{|9o4s>-HBEyw%K}t|XPGwmX+EznUdF-uwNI3L#0iK9Cw8zZZAPo)fEN=n0m5
zhVKeNDQ}^_<JCTraYbBPy$eeIaJ$uOCl&RokQ62(ih)p*fS7fl-C?iU;e%byboI!n
z`#YOW5ia3)FwY-C9;gXt;K99DI5Ti<J4s5Ih>hBJe$b6RJU?O3ZBR!|@+$;;Ovdm>
zD7LZRcY^Ml#m`fe8git1$-8VMTd*lL$Hggd9aSxzs7%g5`bPDjq6%K;_oJdMc-2hW
zO(<SJB0KxZMQA4TdqnUSe)7>+p?A_JFSG8DqG&gce2^^U3*lv1@6=}wp}=Jz>n9W3
zN}e*>wNg#0p)7mR0${jwt{ZG#esV4b*}waSm$0e7#!AV!9I*Cu<j8sF<-X{=q0~->
zQECWbZl*N|PZpLyOlDrPm0kae+rOGEDool)&1FoD6FW%PoFg}I$b|t<S^sX>;b()f
zZ}(u1t7D=G3jI{Tg68_TdxGp5HaV6o2BH)*Yhe^xRnqb6N74!#EgC?c&G0~WMx^U?
zvrTao{8FAA0OgGyw4KM|;^UV5Bl-8MN9?D6{Jh&Nrhd?E{Hw2-g92z8ID)<#AP<+n
z<sM*k=Fi3ih$G}Y5HVj6pz7nZE^xll@%P=zRjX1VtLu#W@whPRms3W8s`o$s&mOEz
zg!g7E7LX(BP+OUeW#~{V|BF&EKzB)s9}%duU+;Za|8$J{bbMMWnxmLk<T&>)CsYcs
z%@jb{S_p_21!W@QU~#%p{++M+cpuTe91gB=^8coqeN!hpPcJO(O{;{%jB~LmFkgeY
zV<SOcs#DozpDcdwMGy_Oj9fcCm{$^hQ3dAWv3OvVbgRxhW`>J;@fyx#8moy|7gL87
za8M2ID0}zs8c?K;e-JXXSz*FBDQ?oOhjNzh(NfbD8GNr#a0EP!nu5dmVJ^suXVwC}
zdelPkB&^=q-9{gfB5QNA)M<t}5x`REI58>i&657@+PeFal$@n46Xs{uTe~ZJ^MTY`
zH_Vc-O>kG;+}R;pHmnZUt1<HkG1%<5&qg0V-io{D*0fj$vQ?BWg*%e78ZYSyZ<rNG
zZAr~CU!ZL{n@#;K!BwjUw;yZTii^#_YJzDq1rhs(1XjJZn}lEM;;!ECJ>Ook_m9dn
zoK4cAVAAcrhW(DOg&7FxXvAAZ#+{zn9SKgTpC4+_9Uc)3O^1p~H(qVf5)u1$1ZtL~
z^kJ%s`zPDPyP(NQC2$fEV3=v;qh5JZrpta3tP5Gtc7Z-nEgYC0P>_+h;vk+ORo=hS
zX0FCUFy`|MUF_x4mnQ$-zXI2m9-A@PC>4|+rg6N)8&rtVFPe|QVKEVZ9|BtFwY)|X
z(nuMZ$L}Le;S^w>%;_;bNCE-EWQ&O<q;lU`m4e~XZ}%-3F`dw})0Hh|R>NY^GHTIi
z)`;H}?7uA_7@6BTq+|NBta^FvvnW&6wmME(AC(@7CdhFLf|(mnhiCMpZAIEv=1$3_
zWM0(|^9tDZXe|hty19{UD9e&=sc3X6x%ewtnYz-_?r|Hi2h;Jigs-`D;^tuD&XC4*
zV-(X%sl3wF^x{&cKRm)7Wx$G~;2Z&sc12>cv<$h$OWnB&&E!`2V-t^%?k#%|cFxnc
zYzNiP;LlQ{!+#b_M`<B9iX)AU3&pH3sxo^0Q&p8>Dy0^e2YDh=m?iHRAhZP{-?4O2
z^{SgsV5n7ZUUh(DYY(}7#o0bM8xTt^Wu|GyD)kxvWrocN?cXIAqTK$f9IN4LeEmvl
zU!&u)pH6pd%b2O9*mG9f8nx}!b}W2($0D*#7jAI(KI00kR-`<0^U{YT>mOAZrs(j_
z@JU*8@3H&*9L^=eIcJml<is&Wvgm!N40aGn1(GoP4$C#`GH8+!EZ!19s$3drnT-dz
zb9?;hT-B<ArP5tJQ*~u(Qj=KoKS`hqfl#08CO}G;m;o39CzlZkcxlr(1LaXN?LQy{
zM^X*k%rNiM<>>NIi1|IQkJlHh_WS;oIByv~v(d+QZBKW=GOV+XYXWx^kUI^ea|1yo
zYI%U(hL4SznOS<9YY&*SH>}*vy1sO8a~}XKdF9)&_T_4s!y_F>&r^|R`|9pFpKi(f
z=^=4p6JUy;PNnr)WnPd)C;|PM-4YWQk5>Y$um3yh>IcSZpi#1y!~U0KuCrafjj;3F
zbf8a58y?dMdBN1$H{NgmH}@qyI3+LeWvd@OPlX}z=Va^4g=@+^<K-s;ahh6SB^ltL
zsPlI2I~utxkcp>B(*$xws~QRC5R7hXTUt~Ry>r$qj&3&!s<Q*R`ENiE2rFr;DH0n>
z&TkU;3!3w)mBX@Ah5lX=fw|MsAcZOQQ?LvR&YtkzMYYn1RG;MbId_ZJkw>*_yUaIj
z2HS`)pl}swp%V>fx$J*t>+!@~ulO)r@SRA~gR0T83d|}l+!DjlAM;6Dc02jrtRrQq
z=51N5{7M<mZfnHrx-tqZt#aE%{TR2tzjK{=rIZJUE*)}KP=cWOmx4yJyPGMmsT2DG
z5@Q<KvlxS_hy_TOJK>FlvOx?mT1=ip>VZ-G)w7ap^7|{tN$EaFls3Y#r{}h~Wy?jP
z9=m-Rx}mn!g$c!^pMMg}m;6lH3Jz#t!G?vUgEI)aIOuMqm6}XSUSG0QsoaNjmn14s
z`6eeT9Ms|t>#K9KljgD^**RkSe|9QEvbjSfGN_YOkXqv2V8{BXGLMYZ4C!)Vc}L3_
zi;uXWln1()Rzz?qa@HQ?fOP9GI}UUQ5`N6z=C0d6=i?{q>UYq&d?iJx4@SRy%ogW#
zdb3Z@&|^HnF8+;OmB`BVZe)I05b>|LqxFKl<NEx3jG`o4ZE&*XeaNi!rEl(FMTrn^
zaLZnzM1~Vju1JhL)aX)W+0c1v`23mu7(%v<SrsMn=9xvov`RFc^sPh7f)Op7Y~P`+
zg~{wMJBE=-Pgog+<Qx&0_w>@EoUw!WNykl%WA-Lpvj-b~19>qzJ(;wFg*eGv`Kn=J
za=mu5qzS9*g)?bz9#WUz#Z=B~ld(H?20`n_GuTvGc~Y_o?Ik_u^!x9V3z%-A)48y^
z7n_E4DZWZ$4?yKRE<?!E-OD2h+*M)71~Wk4z2Y>G2N)enWYU`v0QGSjLgbu$M@DW{
zVNzw@O}9nxS0`HZ)C&1*aw-~9+{Uj@y+34j8at&lj{nSd%1Dz2Vy-ftfKVjVSi=mF
z260^pac2yb->Ok*_vFUY#~tzo#9Yvg-}3N$J7Bl&$umUD*C553B0V?|4<Syr8E(@I
zi|d5fRm6D3EKFHk0IM4nkv*#aYPEbC{d;$90joMr)6^%C{x6%;z3{-WYXcZ|QEWW#
z*~cpd2pO!le$ji_SAWjT%llW<Ta^X~R4~xPdia6ZY1+K!EOk#Hz<%Z_n(C!g*nw~B
zj{NuDgaue6^+2=lUoI1XB=)TxRQ~HVD*g*S&^Yl64ybcILj{oL{)K<FySp23IdU5i
z1AO*D<NuD|)dikk0zk#*wRRtCb{^N6WXU`wDcND2sQ<x>XNt&buB^qAO!R7dh~wq(
z#*OWamH&fFuRXv1d#VYqfju?{3f{+1P(-ybHMi3%Qs9HTQbo-sM;G26ZUFgMA}6My
ziO|1UN6oyMm@>zX<FvPau)LBJiaRY};Vuf8nGB6#G2_(%qV4jlrd&YIQXg>9P)o~f
zRfu@<MY-{nr_8q|#)*BNm=NV?>)()2JR~%*a_yCp<*31UHhwg!DhQA#40>XY_){rd
zKoH$3hn%UZ2+4!+>2NY7pB=)9*#A-|5y3#)ZssKR-zK3CD!0OB*zS98t@+azcNod7
z=cYS_#MdA=#NYv6E_meg$Q1Qq`=8PGwDPhktm^A}tsh-~pNL!<08{!NjC+?p>x;JY
zr&a`cziX?_>J}S_v7-sN&c;0!^j6-Gk@FieL<0nQIE;Vj{c&Ju{>MgRe7!oj%Z;G2
z=_0VSK)cw=ewW&}PNBroet%lN#_ib03w(LBnkVXtBh<q801J*mnLW8#hU=7oW~p#o
z)jTna1wEZ$9v*q$?mk$m`M%BYFKW7FOAoc0;Pn3*Qf7U^PN%;g`fm00)u^Xdm|FFZ
zT8qVz1aqcJCYlLSt&$m)ve0ywo9^+(oLe>ul2YwLOs}!?taN!J1(zcc!NV|AL0pUe
zOi#*uJd(s84x2@~@;HB6@rsZA{P?PQjCS3QrdA?-DI?<e5;uP2vcNFK`2CJi&!L=3
zF&NBCy_=PH<_(Njl_gH=Y5D&D@%7h1Q8w%wFl->*u{22MN_Pp;DGf_^cee^iEFoPI
zk|G^ThjfE<gS2!>*L(4Nx8C>nn|a@V9CyHFhH=m9IFIv)<`4Tveac#L(w+|+Wy8nB
z^bh==nU{#QLz49ISXQM_?5cqei5CXXy095BFsSCrbbQi49;I)}Z;#ZO4-OXv8dY~x
zA6`CBdJqz)49z2+_6YMqj4*zohmp}O*n08a;0K_#84>Y93XxOUBly@IV==~Vwab4v
zZagiAcq8x57#=R+>e1siqlz?pq9ho}Qal851fgb1ct4a<<HSMXl~$hg_YEF4SOo+1
zD*_t(x*)$2`;T-zl9+1tC0`^gaJ)sFaivtG#`ht6UN1syS$`(AWe@*M>3}RalYU%o
zEL0up9}m>}ad?Mop-@4OU`8C<*tgUZ)v@Byd~6Q>wpwm<C^KQ@AUXIT&%Qp_l2$!4
zGoIV^8s6a7&4ddb%+kJ_%tImkZSrSNvGZ-OU04G`J%3uy&fa3JDzt>Bt*>poE&<ZG
z;|=Cdb=*uX^cg@q+V7&$S_p!hR2|uiwbwMdtZkBmw)(8XbzdS6|A5(yLH6R5TW?A;
zr&k~DUukUlVYEm<%kGIubS9g%p`*4)Ydhcf_Ju<O1t<W~Ar{2^X76(Qw7d%01y)1O
zgCw*~+~wu=_QUCQ!q-Hw@z@v}0eR}X=dIpFltIj7w-|p-6qTqypa1uT&M*834vXQ>
z!hYTd-YBAs36S*UMxsA^j}1HkwNOiU?HB5tY;A21zM-@M@P_<GWVwaY@6U<5o(PzO
z?QfYufRgXo`|pWhoy4q0ph%nMSMZ;KH2ECRCt~+FxdSMT(~nE?-rtJ<k2k`Z>;G#e
z{dYi>EsuOxl9!*@Jqxbn=Hsh>o4*MKJZZ;n#h+r|)kZ1F5^>>bam((|Tdl8n<>-p0
zdt$rstI~&czco%(>X;te0b4l)hW9Eh5dx3q3i^h(#~@wg=w3(DcYWsDLcC@|1TjVX
zDh9Tj8?{gJ&jdjAZ=mts@JWCQ)1*L<A*1(eWI9p)uYx!XtBSl+R%V2Q(QKiUa8R6m
z2q<SmxK5YZ5)0kJh_$#gvl;TaXgP>7Wn1kRAS5!TB6`94UH+FMc(siJb+L;xzaiVw
zpr7dtYE^oP`<L(Sw$p1&FkV4mZR27<?PSahbVyJ*%EcOMFJrB6$8GLa8IqR50hK~*
z2Gung@+h&Gy(_dN@Q1LXSxH2MOS^~<cP1(0z*c~ELLRnabZBqq&;jWgDax1W$;-tE
zocD3;R4v${j4Rd;CL|LKrqQ1cTy(Xi-`Z~X+-=|*32kWHykUxo)KnD1>!)`T%fRMR
z#*`Y3K{l=mQu5b^Hq@I!UX)nTjI$5A#zs}Qn=2155iVkCK0ovy+0*bNwfb5^ix}6I
zOO;u;*SqP&dKDR_tSc*%8f)t8>nH~8VO}rF+$a9AYBw#TnEbw5S}_+fg)&n+*eXzc
z>>FF`*~D?mY+Qe29JXy+VMjy7Lp<nxLRJ06qSBYXL*a1Uxh1l+`fD3c&;0?&MC(m6
zA(H}1!R$_F?yw94UtsK+`NYnM`2{0I8e7^M`P6Dd&tu?{Ce71P%p^=A7>8F-ZWK^+
zSPY^aarNki(Z}mWZv-L_DQMKYDM0J52brYXrA8>5lXWd(N4|6rf)!=_>#od6mRVXN
zmb2^};wHdwVCLofap@`nnimq3TE^2|UpaDkN0<ERoPTDtIgNa!;)d)Ch2`WzO5|K@
z#}4l<>p+JK6NTm*jVj~J;o7uoO98iVRy*kqdIeo^ER-M13<67pnDx@Mi6RUW<&CSK
zC5LaF53~n2^Hk&*_jGpe*Sgy{-FDU$n#=q+SmG!K9w=iHtfBhsCdq?I`sepzM**l*
za>;vlKh4(@g?iYET3yMb{HyXseDM4h=c0R&AWxM@*8-~Gj#^thC2vDE%0&ET=4Fk?
z%C`t&m&)OCQ!riNQ)qN(=rp;ZvCTJ52W2gE_O_`-jnRgYV+wU)e4f}YX^LJWW@5d@
zNBn;89`-CmZV&>F5K!!E-qH{LT}u$_J@pGPjsPd7hAcp)%x4@M^y5q9j1rKOU))^9
z!2JOo(DvQmPxViE0#12a&uv<3UgkU3>r%!bh8){xD+OGSvosyGf6!`q33$_Q0u6w4
zU$VdBCwTho`7I?tQ462ML^J<H*kc(i6KbkE|LfpV0M?xqD^8*_@5QZCV1+Y*PDnU7
zl&K)#_woLDm!e0W9VDFT0PxpPi&nP&zg|}_(l!>o|G=SJj9W2wKEBz72y&=B=jIv5
z^dBJC3rL)A+kf&7e*;>7$wh>@x%1^fH&6X}Z$V&{FE|j~#dzQ+>=x>lNWl>Ky}<47
zKNk!?x}v6zglDWutX8g90fzea$DN~76=?JqAJ|spmHJMUYYg7NBIMD5gnoN<UX%`5
zs3jZ6Q$n+f0WPLk*aBswSl(d}s?{eSH7bn8<)t|h=^hTkVnGjgZEoz@m7p{Db1{aA
zvS6IoMHRA{Apc;bt3Id&?3ZktV#)hus=@f_u(o#~VJj}yaGoYtZkRQj{&yZyMg9wG
zC-&z7{IOUO*&mgIZnY{^6VO<b+dkn8LoVZrzgq<J`x7?<<T_1{NtLeL*J<Y?RC9s-
z-`PpWyR6kDz9{fN-D^UntDYU5+f5hFUWJg8O=UNO85QO%3NsTF(FzpXI>ai%`S;m)
zL7k`=(Ue40+MHz?1)FV{VQ?@4+_dpV;+kg}v01_T#fIO<`!6+0jKh%=QVZ5EkDb6{
zLs&|OJxV{vzFvyZ-SgN7e;asmx9Vtx-Co(86eKpV58<T}c)PCAlwfyR_`%5GVluY2
z6FHo;I7-$?<l91MtuyN?I3;XKeKq3pQ!tl7QA8>88X5)JAg1qVd;vA_cj2K;+G<``
zl0tzD#G!G9hmmG1Mv+ao5#O-w-!dp2LYdkxrE0#URI|E=l)amAq$2HpHz~kLezA0l
zZ(a|*?&{onI8H>Xs`Xp#1Va{%rgUION&*`4M48TmTZ_W>&*QAvO{w42vxoULeNY=0
zXjGErQkrMque>nub<={1Kf}>?tAI04Q?iq+k0<OJ%smeAfcaqT!I^o`trCc}zfV`T
zI_pSMB3wo%AGWNx_W%4cFg8<xMM6e<-_CKqI25PtDW@;@Awyrpm-?#-UCOAwJsA_E
z3?DOTc&LUCeD|acVeiYL<hLW{6#+w>skqhd3J^VN+AcyHbJuBy?=ctIm$Qq($s+E^
z#H{Jzy_nP?h~0|HiX?Fqjh(~4>$zxHT71o~v(WpzX-r$wusK4aJS)G|_L+=NAi<B`
z7D%zWEwbM_wDSHs4wz)5&ek+@i^}{C(Q+<E#h?NwpLPWmwRNulv|7MR&f`3Gkc}A0
zM{#jYmF9M_AO7LWaR7=+PjArVq)Sh!HhHck?2>i37)?y)c1ZM(+kqAC8DKO*UqAJF
zbObn9S*<v<|53nbzXs0KhBE+pQlnx$8u0qha@D*0ND5I(MU&}K4~$x>bzPDB|1*Dp
z4>`hRSGIoH#l;0n>@lGD3AkqpXq4{$J4AvXhsg2GUF&bT*55#BEm$Al&dv^M@%ayY
zQSartfAVk)oW@)-Zx()^H2YjI=5_Zp8;m!+eQdhXp&t17rM<qM=`SSGcr=6oKJ)|?
zAa6D`?=b>NrT*_NUKcdI_x$#;3I3wxqM5^w;<iBKZu>Cc;RZ;yh8UOqp|wBBt)=?C
z^B~!}zd6j@-kEN_Kg)CdKc-Qej2a8!eFh|cZnZCz5>G>|hg9p?VuPK<uDQTTJNc91
zqOI@{>^e1in^DN+$DS;u9j&qcPv07TsqMh!K_8f#c{1LK2s2oLGKt3u>wl-d@11Oz
z;9*Ob=Fi}NxFN2|I%)k`g{OM>12d`JxQD>jIxHtD{<iksz0MWAgosW`&~31jQ9CI^
zW6;UuK^xpKq&5)imeztkz?pi5J7C9NDx5M?*y6qwkAQ=>b(WnU*?Z(@f%Dn-DV251
zfjmpgyNHIM17AA@<DY^02>Jt=ciC_mL^u`piPwvIp(&f2p`g~gO>{6V6B}5APJe7w
z7b(B}>2GXgTo^A`eb)?0?>bCt{(T?eFn2W~{LyYinhvmD*co14Sr-8=Sy^b0L6?V&
zeJcZ1^TOV7tH=p1MEk3t#!^<7het<bNgAdi#_~Idjmwkhw8`7AB4?EGNbptqw9X&K
zPny)+mspVm1kmNom=7l0Ih6S)b<gu>j#FOcZ+%X9gGsxU+;46pa#XtgMj-Rrqjk&5
z`Kf$#Hv$J72c8Oc>s1!$(C^g2+UYd>4pMi9vYvwCa~8dPc5b=AVImmt+<Nd?r2Kpd
zhlOpcm76{p`t6DBX^lG?_V6N)d-!BG^V!H&TMc<Q-D<3X_~P#TMBX-yWKa&Kb{wM|
zAQ%;*A6jB-)V$D*PCxN+Ael5Sj<Eg7U2ZLN6AyYMy}f+)3BintWuR71ChTcxs}hiC
zK$}Scq+^h7k_lp3+A0clb<AWF)|LEdbs-d;&FZWvH7*IJ<Tf`MdE$PZs6I4?GMsH<
zQ9%<T`3VR+-JdaAIVm#MrsW9fyRF~Vgi?i~+4%Ax$L{xcfVJ9UF_N4oL15ua%&3nm
zeHso$gqI!rdJsVm@xH826gur8)xA)^H#P*Snn}TFU$b}nO9-GFJzCjQd`e+gSbD7(
zN%}-{-y~|@P6Fq)PmUiTYKw)JBevRKy5=;BCB7r9DUo-!H+wyIp0@Z#FnTD6n3hMh
zll*=6n=E%IHH9uoU55o*Hbzs46m%FFdrqKcp&&S=xlo!w%>VMRmg302;r=PuUb_Op
zequ$k{-Y2Xa@J&wa#Ke&%}1odDXhNWN)MDYj!`5ErxJM+-SlCm{J9ys8Q$$5%F)ji
zpJYmd7t>UNK6Qn(()`ioJ;wO_pG=<tn#_@a9o0-CV&b&Mopz^ryV^VNX%+WB0X^%;
zfa-W)!w1j;Q$-6_cBV%~M&4aJ6hl@O|BfP2K>bs%R-~Rc0j^y*0c;Neef;~oyQ&8l
zNyUF7Ff>UXx3astyVf(ER#?2y6#3TQovtbBXVT1{G4wy}@}JQOya3$w^{b6n{PeZY
zjHH@q5-7!aH|_MxL<v_gJmn%ttq#(bH2?RQO;jN5a2+UVw&Zd*rw#Bm$L%}c&iAdy
za`4djVMCERwwf0sP+fOLMp%5j{M%;p8!Ouod$*Q@Ho`!T)JtwymSP^Ydp2fUXhG*?
z4iT3FQx!7lSkq@sGBM{uMvgTNic*{blY-{q%w<*<k<^z|>`4okvbtfUxDOo}{lRZr
zL5hcb;7avdda<$HUCwU!m(Rw|itS1bLc$`0J{1Fai@stNa(Vj3ku}s&_8Q}h-}5qX
zOi%^kf#qcOz$}AV?XM*7H~0D4z3utrr<v6*ka!};!ZNhQ;G#wtB4j3kLWHr1GP_p;
zQ={$;^o%KAcZ|2?4ze&8P?SpEGQ`wOGc*L@bpADpAD<Qb%UYh&nVl5K6S^)9I7^L^
zVNOY4Z?mGTr*5-yum18eR@ONXbiQNdvk<hbd&w<-Ga31fDSNYI;lp=JT*jq-MMSsk
znaxRSJ?MBa7(zlSspx6)psT;w0?$ZKw=MpZa{D!Ie@1D+XSP80H>^n!q728dS_L;-
zmDS?C#pr#ni^y~ci2#$4m)^~bG<mG{TU4GJs}=5_0gEB5yh(u$QD_e7n6K1}W;}zD
zcTmy3Ti~2y5o=o-lDNR!=E7De2xCweUPmXAkI!2J1k2d|kuKw;X^za3`7<mA%du>5
z#AX8jXQyX5^v8Y3idobd;_WH2O|mrmqF=LTQM9Ij1!K%jNZMTpJR>S(6`E7Ysquut
za?RRyy$RZfdXtCp=7)fpx%n%{ER@m+e$8&(E5ENC5OG6Os2P_C<c`J0Y5W^ti*j{0
zVwR8xv?r`U<bdGNo%6^1SnSWv=6Kf0Pv@iUHdvx%N%;~^q$lo%w8o{0&F7i(2-CGy
z^VBp^m6eP01e+H|qvcivhhuc677HXeJ#m}0es%4ksK*<!&Z{~bPL}vIutJS}b*7Pc
z;Mt|WEtV_=wp1ZqaNkqb)R49@3J8bEh@AKC;J)g*EvQZ|rdlbE$iC8gAvH5vm3-=E
zXGVy>r|re5DGP&anU=HXMddQ{p|qbBS2xK3_ohff@}DdZ9;4P=hZRn+;~et4uPQ0-
z%U&^i3-ziD>Wm4S#WH^$*}Clb{_i~WYPIhpT~Yw1;zdPOIb5J<-h^h$NkW<L1`~?$
z(WIuqe<UxxFOG%3>m;6)dNl7o9?CyxwcZA-v0y(YOuzZ^W8>jQkHKxdH|Fs*K<TCj
z#Oc1;LbH?qqXpP%I9NC{r^Q7cIx~OsXXl#6#lOV36?r%nVF}%al$dKLE(dV=D=l50
z?Y08#zs#Y9JwVeR5PV_8&UX<Kz!h-Y6L8z7<bT30um}WYm;{{uF#E#-VOB-}GX>0b
z&2d_xCEptPFcvDA<D&VOzd-}=6;p@E{hCP2-M&LB2})#@fj+&(-`~icZseiEU!FM>
z0gx~o5s;DHw_*6RW~Ne6QT_W~V)`h+uNwaj?58Ah_Zv8I2|Z|ppp!zFLx6X?{r|<$
zO}lOSSd%?b`||b)G8J3QOX+Z28Wl>0QBE$OPhcH%yY2b}QL>4!#^w`^)+SV@ikp&|
zu(fK~>Va#MZ2?{Z4hE@?yJ=sXtwIg0Y_>Ss=kG`_pFDe!^+XNtt@_vFJEs=E*LsM7
z^zUBw9$qN<HC=r6JD&wO`yK4p|5GmX<^j6$Wd=ZJaMvp(j2+#BKYRbPEifl12MrDF
z(DkPwT(;IbX()z0OAyPG6;~Z%{B@?^B+g7pACKZkylBD<$a~f7r`pqm&FpMFw7_W<
zf)qu>S0v&RFx{AL`>T9G4i*lSym-xg^N$=JRjXkJbGXoJSe5r{TFL;y)r7(g3%>$G
zuY@`<IUzkx*cK5C(d%PzPNQ!klY~+NEa}Fr=(LJ$cqA$?EQ4?$Xp{v@kuEoqI#7l2
zrRb}$V0NoaF`oi3&HX?KvutR1X;uVAt!gk4rxW$o=iW31jheQNSSgf|rhTOgqba)~
z0zbxRZBrC2{DLx7Xbf-u8dC9SyIqfKltjmtH-&x9+RFO~&?^M&oR$*w99*`3wHios
ziYKzsh!18+rihOQ)bU0BSqyk)+q^~U<`zP-llCLK6ni(B{`>yudNqWkrUvb8rG6MT
zB?)3?qK+^W17MUN2Iyk)rfU|=t>VD#BWj>U6Q?3gw}jqTAviizadFi#q>14vWrMn9
z2J)X=UNCni&IRXdzbbsClOM0BGhbJn_kELxXE9NyA8IBv1sxpOSQ&h~VC|(?R<jqB
z8qXqc7oTocQ&Z?~KA-B$pSCSy<3XXrcB+u)PAta%u$9&DIrMbfC>iZ?(S;{~13R;i
zw@JZ_&9c<+4t?SalK7x$rS@#Hsk5y!gvg{UFQ3L_d?t5(2mg{Czlu{I-`$>5c`Tct
z9Z!{9W&A}&v>#;oogaUO-6&;d9O)O#qc&b~3$6w_7y1`xUl;(L05bS<X$t8m2RcH-
zGiBbF8>5EVqZ-h!4WGHe4G1wI6;6XrgCUoD+wtv8QekZeofGmYjEO&6b*z0xpE~UG
zO^h|6RdH{yQMkAYR5+Tyz&FkHOaS39xTd6b&j)@)zWnsLbUNEYEw%s@TvUv$oZ4@+
zf}YWhE6<-2K8pJ*f#OHepg?w4iW4qYD>2QqsjVAdHfOS)&B6gxL7TR+9!vdrB~U9L
z!`3eeWbQV_V>?NiB(<9I+Aa9V+^{k<uw?;hxw{*4D=tUt!VxX;WJBM!&s76ixsCbh
z$G5`Nuic59q!T=(S;S{1;G#cw(K;xkNN>FX8GUP3K~!#dY4KHW__woHT$WnC;m3{x
zM<%2klGkez#VuUgNEC9&kDoIj-C6`VuYs2DA1&qpZfcK?`7=vSYJP_Ni*<^g+{5{s
zc^<VPV36{=E-f}TGzed2oIVhF{TYfy=)&I(ECtD;Rd#fM8W91uN{8hZjFv5rq|Uzw
zxT0r|-}C5Lb$4^yIGq}K>aAltTWMB!`wyLjS;+`cLBZyC*JqF3)}{LNvENF|^?xB(
z(F^}j(!bw}{9m>mxjaEO&x~D<9{00iLC1<`NWh`OQfwwknDr>hxsJWiv{1H$h2Lvv
zppXe9=(#=^Ju}p5bc$qR)zv^3>Q?fl9-hmj*_#OdxtYCI>5*j&6RuO<g2{HqFsS-#
z(Qm8cnYJoOL}Xs|Oyw61=-H~TV8Ud!537+psizs{K97_k2VB}6l`156j1TN?C!W@W
zfokbA4;zBieZCZ7PI{ir^6{W?+Q=Hgn=L1cJoENphN;|TTs;y90m_B3vhhS32!_4A
zS-6BIEcX^WEPOnu=(7Ts9u|+S_8_o|;uMX)kpY+57O6OFj&1>g9H;%>;5q97n5XFj
z;W)Fcm@6p1UA=BKo>#Z31_HH<Y=%&~xIu1j(K=mJahx|BTLnwI8i1{G`M{lvCGSfB
zu0!hYqM@^lt2rfK{Qei3ss^`o;3jq{JaGuE!FJ|Al+<QvyfaiWgQ#l34LZco=NKrb
z;^$3bqgT-)2|Z4V!N9`~adlNeG00tTrV$DDMYk)h(sk;G%)1wlx3}D}Y^KKKd$8wp
zRaNdP+}BR3e|PD#i<8TLxi|Z+#EAW9g7x-yBWdCRZK1IYCwJOnHPU6ta+HyMO81t%
z>CmDk&xpv-^FXI#UtOpNbnBQids;V)XiUhqM9{|OtyjzauTP-N#^)>7Kel2f-#_t&
z)nq-n-)Ldly4X=_xd{hdk?iqs8{g1Ti@&04|8;6~gMn&zZ9Ywa9gFnwYwnO!;f!n{
zIF|3!=h7$Of*4G8iF=)>FYq<kZ#p2o0FZoMLvN}*k41bJotZMkI(5<0K(t;vAEa5U
zraq3xYU=2)*{E7Q7hWGMNr#>KsQaFkRhR2Ip}jIQ6z8iDQYR|Rwhe7!?D>$W*!)p|
z%t|*pQiDHA#~QcDq|rPCq|FolZFfSoZt};|0RP{ogj>1Dh01E0ItVHgH5y|A(Pv;`
zk3n{>ajmYH?ivO5{xbb`unb2+YKG0*jimLFzMEG`w|Th(Ms_B9YB?IX(W|zVH&~QC
z7WcKONn<GwPt}8bXxLPUI_+V4i||-&*hz{x8uRW;@0MsTt!mp&<)1e8S%qXq6_AUT
zc`SyCN_m^Tsyz7eQTvtbf-XnFJEHA2dWFNOc9&}>Fzu8tT%zPrNO+!!Um_vlUM;0k
zxDrYELZytFT-h3K2E!THh?AX(emCPVQhUBvC#&$l2uhkcv7WsyY0qv$DyLZLf*~r$
zvQ<1@BCqH*F3Dhq?{G>bBPZpOociX+amca;5Mdf9^8U}%5!3kZ+5G>!xFxEmS$mB6
zN@~5`K;f7o^;kI8c{ogZHK_H6N`3_oP*|pd*S~Vs)}}CcwQ2M7^Fj81Oz-R1A25#O
z1|L<}i;W&E7xcoJhZW<;!SjCxOugEp>OfUrpA32Eip%zKO8&DwuCuSQd%qI_<lgJ+
z>nF2Hv~egre?XepFmzz!>HVV}rAOrc7=`sM(1iYi;O~KMqkH4z$@2JkPCU>VX=7`v
zn@<76(#G|fnwf2|&(^-xTN%x+5zOf_t<i<nKtdY;vUzCI46>(ZFh=>SXx!M6vZSkY
z$SqO-X{H=hoWDTA1aVm)c^Dq{i|o6@iGy9q7^Nn?^@{Th*!`9)1Y|a>3|>v2O!VRk
zS+NElrO?PoeX#xx8Q0MLcu$QMKiN(Q9r1J!v+AkOr!8S}aYmgV#!^(-Nepm5U*qMI
zyIzFL*}%RQeRpsaqz$Z@ejPMWabOf6hEgk(*EN+0556|O{MDw^Qj22uIdpP@(|q4!
z)df>Q(9a&uPKj>Si+^*f9qzo!!~Tacb;>j)cDYrBjfwbYb*mH@+Y%)59SN_HS^a7?
z)jcgck3)Nc0jb#6WjD7R0^PmL$oK{yaj}{6CW{vISIi+N9carLXU;F2=)16Xem<NE
zgTu=*J~}1E*X<yij7_~QlF0J-VJsWDdSTf=rNuG6*%NhIS567=m$0upa}I=Eq`y1j
zrbi5mwKHa>0Lw}aRUH?7<_CsFeACGNEy#qu)o45OXBC{pZuej~EzQ7Sl&*VqsPAb4
zM0b+DF!?}|rvR=X^q`+k3?#9kOj)VeIh9V{U6N}%&(67oEn4VAI}&O$<f5d^kjMYc
zaQ!#yH&Lmh7vPLAhweSwqn#P;y*7bTu|Ya^Bd~pg>`s7MqWnkwMvz^1_t>d`$>mYw
z9Pnrf(k#fP$I5Rf&_%bEQH>PX#ro7jfIY*aDUZbsoAw&uH?g*)tRlFuUmQm^lcJTk
zd-w{%bC|qWSUM0NZCtwebf%xu;hhI*iPjkV3I0@A$f>b4=Uu;X9^T+XQCpss$D`kw
zAS&ZrWj3e}vfb1`*2$q3LxYl570xS{${}EUZ<M5#+(wNpkMCFo%AHhXXSpe3WP3&+
zO+%8vE?jM-d$S*Vbj7UCG?g_}t@fNHV*bM1Y)Z&QQNub*)~tkM?nn56RBj`KXe7O8
z-U>xT%kxGVGtkX$cwPp5vCOXsA8soXl!2RU<ies?6H8+@BU(gER(o6tQsRATqf65-
z_mVdUvy(q?G&;^MuZ{;an;?7<v?LD~MokO3F?88dw{%%2DCNxgk@9*dR~zQ$6X|<>
zSpC)SEMQdyoes7i{>n*Zi8qq!DYlJpuEfvnfQf8h1b4IT+)m#qnUy%+WVmEeblBMF
zQ}A9|j2jK#<pK=R--<+&gcdd-FWWeX9;^IJPX%J3kcnAIqWcQtDD^SY3u<t?%1+pN
z+)e!G896yQF{}I=Q0Uy<;`o>M2`c7HnpXPB^5oIDf4tU{<P(2>ejZ-BKOlts=SBua
z04OCw#R63Zw}-n6gLf5=es_a|e|aTcNq{8py97w<<*6xmqwYE2zi=?&U)8t7GxDEF
z5xZrr_t(H5h8_Edwf>!)f8Je=;Qt*H{Ve-YrU4|jgBUX>%dn(Gp;6x$z$$G;)xVsZ
z-gifR^1n0Gf!B1lLQKNQMil5LfA`h-wS3g>w4-JtsMdWY%44<X?H6xE0q+etfAD9M
z#X5C(9(#yRa7~TX0+9%lT{yvbWc2P0%b`NwUP9v~iJEYM0nZd?Timw(g0?}3Q-Q&B
z_F1Bb&FHVi=z~7xP_<{21n;G((9>+X!FIw<1CfvkC1J#sI4uPeJ~j9vOx#QXU+fuU
z!cKZgmPlGyIoE`>lOL>Z<s2eec07P-7Mc+*b!Jo56U;<azM!R7f|}tR%8(L+lfyYB
zX*N|kwH8;t9lsvK=kKeN13DK|*^@r`>QUsy(CiQ2Pt#>F(nKon-_3eA)<>aRn3&uX
zLy*U{Izot4Oh_XfCzzM>{H=fVnZ4o^J(r!8D*IhvuZ7#{(Pwy`viAg^F_kd2(v~Bc
zSjZ~~INK^@Okj#bBOEzXN6ntkTrhfHhpA~az2Qu4*D9ma?<}w?wvl>;7D?%#H;e|!
z9iK6-U=wG^WP!k=sTr=uAUYQZJh7W{bG5E`=<)|cbXdJ9XTNo69_ksUwlVBoL|03j
zddE~uCz-S|Q5QE{AkP|@AWCTMxq9X{;<VLo<fDTRn&7b<Qz6xu(Sjjgo<B|T$4g|_
zjbdUUC7v>#?(R+VDGF?!`KY5KmdJ$Q(_Q@)g+ilXgjS*F{ylI(Up9n!y;{EUSl^OD
z$oP?6eEsBL|GMndRZTWQk+R7^b~z__BxF4dT}it%cian{O2o+Qe%-a7K_+k4@ljDO
z&GgyR2ZvUnR@HC6gC;0vEo-7ed6~`HY`v<28{d}6vSha7RSgYE#_7|{a&ZtZYjLZ$
z?_Id~37AA-N7%$U6`atwC$I#dL@J<RA&~S$uOuFqKt3=Oys=V4XP}B89hV~-kq<}=
z;ZA`ZSKvFEDZr{@vZ>$0hBCf&?J4tBb|G-Qy=VTGIo??=Z0a_1X%&P!5{pz9R-#R7
z@-{rJFDN^=w4VZOp&0IBVjMBB5Gi*~T%#??fF^98uAJgK`za+x8+R>@pxDh1$9+&7
zz6b15?e=p&yl?FF&V!auN*C9n8N(@6o%*2h+uHc36lxw-kbneVhJ2a|@@eIwV{lgo
z51*lJsvGCfAVu$pHmxb2_7%b<0=e%IU``#Wn%!$xSbmCwgCkoAD0R$8{{R6*ZCZ`{
zr}qfJ&ILqsu?%YEoIF?hvp<=-Rh$6Br_3L4UIX5(li7!mfXk3aQVUQ~>$On)VSGMq
ztQmW~D=R6nb8s*azEM|KN8w3L0vu_8dwz}bitrw=e%*T*wAke}{|N_kUa8X}`^n<3
z544cr>w6mIH9rA*UYYiv{TU%B0M5aeD^ydFUG!XwT)y4p(VW9q*U-qHc>jN}(R@yE
zv8{H%WWaGe=mszn{By*6^<wY8&N9${on?&gTE$u+VMS*UxaNXtf|0Uu%5~x5;AOUt
zQ)U!*{GXc9?F5@4@&ZiEiEpj~A*QmE<)7_GvzM+SKo#3SD%UxKYf-07MNlq3$H!JK
z#48m?*jP?5&ost>wibG0R91iltc$#i>Pv7{{O5WIv)ByjHJ8B$r;Q%dbcyQdc^+%!
zwSy^RYM&RrC@;~64P|w)YxkwhD$_03I+wwoa!5`&hQ}HkE|}P-qCIGk&qQtMo9_&u
z`COMTpZmZuaczqmLTLtz)Wih?pTdDv5x=7mx8Qskc~Azo$D;b*5EBfl+UpY2w-66~
zQ#95kzV(=n*QOi0K@KXG9t>PZn#b&J+4iu)Qb9Bc9<c5fyBG1-fO^&_L+8BaMI23&
zKto1w`-#zgLP_|PWRqoiYZkEb{exH?1}j0;-TbopHz*@j7}<BQ83o3PC#neg?RX+5
z{TfhQ7Br=w{fWCy8>pc6%?m9bx3D&4Qxh58%1Np>wl=9R=U%EQKp`Z@xF_J4;ePRw
z2XLC=7FhG-g>9zW{-t-+xSx~UMT2#2=gJDOST5j>8e8Hvwv@1am3V~_c&9AyG628Z
zE@>STUZU`8a-7`2(3^v7pys5GVnH}`*5}91gyLa&?Xt_CfdlWa?k_^T&FBe$tF@j;
ztE#5EvCVIp*Qndf#`f)&@ZmJdk~@rS!7T(Tl>G290~8qr<DnLme5X>X<`kPf%>5?2
z58_arDbke2tF&@A!_ePa_V<ahKw;x^<&~H(SRJlJi_f1%=OxL=t!;gn5%Ed_Nzp0y
zUmJ(sMy0Po<Tq@Xn^&z+7t7ITsu#l0d|1N+f9~+d8>{X!=>mb^sWVv;Ne@n7eWim*
z<ErbnL00?toUvJ9uq_&}o9|U_@T^j+Jk@T)QnQ_Gk)RFh7m01Fn=A}yCsmyaN-@Sx
z+`)b0row;=ryfbQ1o}MyUXQ)gOLLMqm#~tSwUl@ZM!z|{O$5=6^KMi6DB37zh_-Ys
zUcxVXqMHRoqO?VTN&$UokdG2snAHjfCGPt(UQK)L5SRTFj;S)ZgW|4SG87qoJXy%z
zB4)<Edndy3b!=L-qd-iEi10fMq<f6ag`D6H^tFvqx>19uE~i5v_N+S~SjRc^D=K4w
zv+N|ct-zGEvTopZ0hD*@j(FWpXW7Qmcivq$2BOIyY{rfdIS{PHz+hmWkWk!MLiVD>
z6&p4@MS-9|HmgD;dStipRWWZt{yhvz*R^#_J5D=mhR)l_CyzuifE4iT59A3de)g&?
z^Sj8!f(xKC3UKlFizeaAj!#XkywCkR-0Gh^q9^?_Aatw~N9nN!@~~6U!{eg<frOaY
z=cJDgCAdBy#KlXi%6#a$WXgc+&(7zJ<WevAeHnmVDe|;2(##94=!&0tkAc<<cX#&;
zpJUa`>j{j2%MOpd#d&i;EWUi1)Y@{ihW*dv)Mj{<gmBs4-wz}fiTKcg$owx?fKgmt
zyr+<P#sz4J;^!JY926qY0$mal(gi&9dsqI<(qi7Ef#<iCCs!i@{y<m~zUPmy?Kpf-
z@jo+}2~i~YUu(#V{~FU?9BKa2Wa8E#V@w+@Bh$pzB+<W1Wq_-upZivg*l+_&ex+uq
zyh1eAZYB4nk#up<T^Fg|$EXKg0Pjllccle5iqCEwQjC;QsoR$%Sibf?eYN@xRLedP
zB)r9IpWrx9bTk_HJcZO8*M(;lAQ2~ABhBipQd$TvB3IlXwqaRGRn($sk_2yd+z303
zoce4+=oZ&>V2B|^rgN_l177QPdf-e57?o!~B?E;Y_2^4O8j^}Q>Q+zs<jvwhSk`54
zgrRKF6se~oQ^u99H1;p3Fk{JN3q!Y9ufv|xM$A$QFBthYyoh8P$<}$2ugm8fvYJx3
zTP>~7@!mPf0E|9eSWx}d$;fi@I^?w4VELWr$AOiqewqH+jR$g?iJE4f)&8GOp;^2d
z<JPv`D1q$N;(d{pMcXpT)(&q$dyX@}^428{Pj02{VwMIv?!95Py?*f<`K6bwP3QiT
z77<FEncU#<s0cUo=5VChpEaG9irhR&I;BmH&SFpng@i}e3~cwzKWSsC8)gK~HkmmK
zW8htwAn<f?z(c3d1;7|;0|jHb{5CVPnjQ^NnN3;c!nbd+<t(A|OkxeV)EO-=gL2<%
z7p8DmGC|*SS+YkUW2RYl<#whp&3^-JtGN&~Zl<D(kL3UCz)e(B_jJm8D;CO637GO`
z`j|mZenPj*9#j|wQ2L37bNOh(Y3AkIOJB>H96XsB9+)1KYpS@ySZBGo%a3BcX7Mwx
zm|!GKvG0TAGj6cF5uwbg#>LBTQ*P<>fd$#gIm=Zu7Zik2%^<xc12J*aFdTZ<r_sKO
zkvLDwJaQBYYZ0nWjgU&+$zuAlG-uvx6^1zx%7yp!e)V50ZV6^Ocj5k;`?W+@g){I2
z-+{O?`1*%%x@6QW)4GY18QB||Vg=?flDYW?&_!%cV&UwdJ1bW?83kikk7J$~cPK)$
zJdz4o-*diq`FZq1xP33e0DLWl2-A~r`duVwju&D0D@!42nxWX=^u(u*vaQKtt$5C+
z#vK>x>=#U;)J56JD?6)aLrwdNfhcaXQ*div7T)F1vHx1pxcOlA>=pRgn`rA8>lr9F
z?N2_hj!!o*g3gEu>1eaMB%#)VuF3RdlS1-k3)32PcAbK*c(fuMrVjgkS$`aO;zod=
z9BjWdS$dy~J*5MG+%xq)NX?AGig}jUzQ(oEp*B@ncD77X`>lS^=oDi?gkPH~6tfZz
zaM13vadElrOfZ~|xXxV<C;x*{5Vg?(Zb-|PJ56QhxQG1k*RS#gexLI_owGkUNh}c+
zSkw{$5tD(>J`6ZIZRwMckjNK|<Kf{kZTz*?4!}Kr7ZBuecXOfhYRRz!?J;lU7UO8!
z_4+X~`snBgo4*Qh$&TC~OC|ky`3Ge|AC(0Hz{TwvXt}Mb=6>_#lgeL@$fp6s$FFu7
zD>K0S@2&y!T&n?NT8y;misWCAMFHp+-UFEdJj=eP*hCQ)(cmwCYdrAz&V&D?m;jw4
zc`HgklimTX+(vEOetv%V|0b>_G5Wp>klLGr?e@`S>dFtO6joQiLC9ZzN7PgM<7WRP
z0Pd>T|142+MV8yHJ}>+Q;<&l<AbSuvgj+vT394fIET^_QYy(x?9J@WT+rD;stlJJA
z&w5X)m~41oE9Yi1B}0*?lb|~?p1dmo?&B#@Qm0y7DH0Cf33kxHd+tIj#MYkG++~+B
zcGxQ#d#Uln?mVloa`6!jz2_{9*mZbS_YR5-V0X#5U+M;h!Ha_v;@vvvF|a88Qq1hJ
zUhUncc;~4giU@|rH_a)b_(sfVZ6ClKc@p3Kk;R0dQ(R!oWBQ;1^&zN&v&@j}$J$&N
z5f@`zoB_Twd~u{HNE>gg-A-(sp#$tNF7Kj4mbhcYVbT#ITer`^#`kUtsMje)X~*w;
z(b%bhozu>hD=`X#cc<+crCo@q@ZGnh+Th8M_!wk%MSD64fipYaqFmpeY~OwD?l$Ex
zMyVp4E#b!}mfkz5O(en|KD$4wTPE?!V1m-%9YHL2JqfT&@qwQ`jfN$KHeec$(JkW0
z1lgz(pRa9yS${T;Bimf?Ma4Y82rI$nKy|Ph%l6gPKn`f|BBybl+3s0Jn1r{R1Sxmr
zd=wwQU2kU7a#^q*#pQXfsTyCUTHkQ^W%;1CMafLcY)vZgxZ|Ef<q`2>5Y59Diyvy;
zU#`EoKb78oN3J-m7-9NsNkjb#yy)W{^B_!KGjfW60JF62lsq7R&3#aJF?W@Iym|d4
z-&E(t#+sqCGxpFcdw*2Z(_VM>t*nLA?S#zA8YjbM*|mILDz7EA_gx?Op4qAdXKZ(4
zxsSu6;=7tqn$wYy&Z9>!XyqKp@UeVLz~kUr`(7+7JYSK*jo$g?SDPXyjT1i#Min=+
znWJLkhl!c&=LS6{JkL}3ZGBmLw6S-&a7x3oU=<USwVpnoq>$Jh1Wy#E4dG@3IUE!R
zvuN$&RfM&#Qw+2HUia4-`4Z8kFH=di_VJ|nTM;zdCY<;)petc-tlBLWcQCz3s-%Hi
z$Q8F8gTS4jH!&qMc(FGyrtm1L=#x~TW8ffgnDI?WR%(9Fh&b?QXDev7=>AYU$SD75
z2r?3PzPa1<M+*=h^eHc}RqP?^vZ(dCXiV%EOQsHhWn=~9{=pNbcpZP$&lIM3-wnRB
zzLr-|Amw#5EG!Nd`%;sd$NneX8Tc~7rCE=CEnuQ0<*x?fq4O&1fs5J0X{&IJ+P~F3
zw*WIVJ6q?p_SiF)cZYlJwmbFTkNu-x&HdK@A=>|U4h@fvtZ>~r_g}$N_0gMulkwG`
z{3Wx4KK=i{_+I&d=3A(C-Oba&rW6Qd7cu6Acda`6IENiaYL<<yjyFDoM3|QSpforE
z4rAA&bI@t)Lnm-P3LfNlPY0xq@u-!L%M1YHrj7&qojc+?(U!+$ENV7R1LnTzdh`=T
zT`cGbuwTUKm6x}DLS6*b1=XHAkL^JnW{^uEbTH8^0*rTe5jha(=yC&s+90OTU%c_%
zzi(nKL8Y%rRJ0>>ID&&NYCWutYF9LR{nemNIoP#oqEP%1`>|}APvhAhgTYLbbt;=g
zqwQ8{HG@vf^Vz`zQSanKj{V?_Mi|b__h8Q<^4DzXTZ&W@jdPN)P>Zx`X@1P2VN7GZ
zA=@96Gw=f2zP$wGDId5+xhWJBsL-dUB}Zu|B6NZo!THWd)W1F+$KbaAIybb2SwEHS
zSsy3SJ8G*jZ#fsraV%zv#l#T~r38KDOsR2qF@7J9zs(lA&B;T&uVi&Bwx?HzEq21=
zeUYP#J*pAo9(pV~P&ab+J<bLKe2RsjIvCB*Y7h5+NwSEXZ?6~;4C2cI0O$Jy#>^T7
zuAQ!H_H3%KIi)AsNWss(Sn=Ye2J24`8!XZR%N192t%e&v#EG^HHcql`6>hF9acUfC
zt4vPr&hDRHb;w_&rPtKH+c;4%Ymx=rM}Rc#!v{qK-W-JMz~~b{aW8S6D|Ux?dXv)Y
zR#+9g&72cm%L#Wn&%7i<7~3Wfa8xr7S^a_A)+th9^R(=Kg)MpCwv+4-O5weYiv2P{
zGHj-yW^rsYpJ@knc_msb*ND3B`jWyVE_CbtbablI4Z_dczyRgecTfk~jA1eL>rFe}
zxYCc+YNNVjJ)-=POtfrs)E2-cU+$tHv+Jo-N8@}oYa#Y0vF4X~_VIoRfqtq&vSlVY
zv)pb!Wk-;73#H;^L-H=wI+XB|IJ$x-YhUz_^0I|7c_GbNVp9ekY-y0Cg(Y8V@P{#Y
zNYPc-?J|<!Ec=+HS9eh~79zFnk#(-tOdH2z@${>?T?-H}(G&N8r5e$0#1yC+ZOQfo
z)LF>Ah`SQQ>H&8^jf|VhuLI|oFC9?7+#g!1oO0l7O&IAS^%G;@=s%Rh(%^K_jOP<|
z*T%FM?T`tLbx<s1=}ceTO?`F(W#ZG|l)aW=M*H0qyd20Ler$>xQ=1Z(hXAV{z0%W7
zc^y`xK7fDK-ATg{Ly|aVDkeMpB0)*VJ_YYL{*T42pwNPKUbHo#1TUp*F|=#9u}Fw!
zMo$b@twT`A$x^rd8x~c;IKI8m^0nNB*jh>U>j8_#>be?usX)M|D%vyfmV^{fi>fu=
zz{gu0ODr+d%=caGtgT`JN9M>fP(gvh?GN-}<J<nLm#$%6d)~BY9{}_bX82!kU!^@-
zJ?NA&_I7q4!hcu5Pm{wZ_sDlZ|Dwx?(8b{LCeVH%>~)gcQ#E6dt)u6=3tauTl>!>p
z%{>klwB7eZ5*L{NA|H@H#_h>T{fJ*FkpHpb?vR=Guf8)02N+@c$iW{}c6JROyy<Zv
z<;SZ)O_BG|HHGM3>|+LCABwuW^Lb(-qQt398zmi)?|&uaG^nlrvGBh*qC0|aWZrLQ
zwg76ZrbT@~vfjrs_Ls8Xdd%}5=)e&1-I?&ZpYj&YG=Nydt2}L$gSPy3gP<y|GuwTn
z?S}Q@g+uB{CY_nU?zFiINR-jtZV5=xwy-1b7`D5UszBv!fLBt*X?goH@iWl!BAnGF
zXVF=~E2)%A3zN1u4j?JC)kj^8Mo%sJv1vGxe7tU`lmpVyDXQk>5{z)dAq3x&*?4Cj
zKy92hygS<t&qLFjkL;c;62G~;i}ys<M5o5ez9$ewx}<~%`U!rO(92Wu)=r{|Iky?r
zhjRNxF;yd8FO2P2-#Pyxn4-~ruPx}&0NJB9b6tO3S}tL4^foC++a53Sx!-Dyw#^$?
z<~#|0sIt4;YZCrlY$eR1%!?`OQS$xi)&8h*fDz8x?5X+U_8#Pr&li!^><b^}BnLhb
z_3AgO!fx}JFK}dn(x`fwN|;!-R-`a+Svi$FVChyOY~<sY*%!wUZ6^qr8FLgFl<5X?
zb8VB`V6n{Sbv0{}zgf$DP8pT%?6!{r>2yY%>PF;F1<w~sR69n3+^nCbQVS#al+WVG
z)NMIy1+;yuCsO@IERprhOuDHv{<m|srY%X@1f7++c-FJ#>k&#kKYddxS$0-1F&}?K
z1tkpowUP9K)+bNUjURoO#NpTW&@$AYQ+RG)Iq0NDX$^u|74w}o3|VTvOU*@pZ?-HM
zM2AO!FDJ>InQV~0K$kf}GpYO{&qtczZTZaRb0G>vOasE(EPmpcPaMP?LaIusM9-nF
zsBa3C<@BN?GR1{?f6QWjE(&8P&u1slRa8sPN2F}MX#nXKiV}5FTbR@B=*l~Imw}er
zU%tX~a-4COV%DS;<FWZ43sA4>eqsAz%nw`6Dvqg(eNU|M2CW(?r(teSsQWc-IZ_K=
z-ujf0e%dW>Zd4S^#z{fIUj1g+nvFNi($@OhL_0|q*A5NAZy9CwNd_zTPq`r}p`wh@
zClq$=HPhA7c&u2BV#c|rm*p9eF;!!&W7bDQGc|h?#_Z9r6D-Q>)k^9#-;Yz59)a4K
z!<!q3?MzoHxpXMP{h^}s363l}QPK_290I)(QIne|sB_Bswi_o%;uZIVt?6IQX(!c*
z^;JtXz_(-EM1Z1K`j;2mt6(9uXysdDDcYj^PjY3#(HC+8bB?PaML%V-gOusmdEe;y
z!+{-!?ZYCPgRHZhzfx?}Yfh#i@uT;{Z72kjXmxMBCTl(shO^UM`W#>XiCSkzaX@S9
z_ErXc%J6=gJ!5@7)E82fB1~b*2ZV{tuh|&f%$3wGHC&!g>v`yL5;d!}QvWsNzW{nN
z9HOPE$Cj2_F3-_JO#WS&dc}ZsP|R_25MY+792+HYP=~K<BL5B*AeJ$JVg|@s8Y5Z&
z8n{Cq)|upN;{Mqed%IA9vs+R$5QmK+^!rC_T1iQXo^#sYe+<-jv^G7)l3XkYJUDCJ
z9}M{YD+zEeET1WJ_-FnB9ks~LVGnTkKxMZ>({XqEKB(>c_wVhIe|V@*8!OlW?;fv>
zAs;^`{`k4l0f<LeFj&5b{$Zj_*>qPij{bL25IAf)O%DJPx<`ZsSXqBeP1WG~gP(>d
zMOlrCu;)oovPCjIM*>fkpaDilae3(L?>Q2j{8shY#Bw^`LZn@pvxiHg#a$Twqa_m5
zDy3cDU+Y3)W4ri(gI@CnAr90tnAOb|NGOyJ<Q}PS^kl)z@@H{c58A{(vfX7YIe}HS
zoAUgW4ue1nkx#+;LfqfFX0&9XnSy3crsfOc&kUX>%Tu=3>ncM#7IQ!j#AcyvVOzEt
znt{fI@OrOy$*V4XU&+7K=>Ife;@XOFQ=8pxa_m@>?h=w_*MIrYRQ(Vv&cf`(isjB<
zkp@3(ESl5dcydQfX{|5YoZKkeMyS)_yI&*-;71Px4cRUf%-QO$O$;gf=~b!{<?3Tf
z<;?A6b6fq%(B=HAM$OX6)nQVbYAuuHXi3E|9R(EeV)C;4-RjFOrkTLQ))Q{9{w~<c
z>8nEtD4-63$;TY{_+p5l351!pv(Jhwejvp^en3sSZ7tc{FvI}S#PnMmovT4qM%Q0^
zkh>RY%eo9uzkcn^kR)#ZyBCv~djj$iQS+*rb^hpR6iePn<G$$}9@J%<nUN88Wnpo-
zWzds%SjUS>rHHR_`j$)5_dahLHd9GBOK{ZDyvB~7=f0Elz6t?$<W-S2*lmDW#iMY{
znJ~0bt<!m*v{Im2N^K@WYi>6m&)oC<9hb}mpSq3z=U02<&OEob=W&;ZdtmZ8!GPt=
zb3+@!Yuz#st@=s*hpzimY=k(B%|xe3*TW>L4nS9cr_wl&&%u%xpV~g9O2I%*b;O|x
z!}AzJaAaaB2za&uNeFpad2&|TRfWlbR7cvpXD|QF)m;lEja*<L9zQRh$4{1DmW`!o
ztW4x`n+;rgH9}81;%<`G8T*x>!pZd_Q?-I?`9U29dN>{LJ+c@!jPhfnKDSFlPSkJt
z<_&JSMZ~^Qt>v~p=2-^%t-2Kn7M9+dTpUlomAgSG&o^k+1ivP^nbX(LktjUO1=YOk
z><N6&*#GJMIYa0ey_k^=pp#4~0**-Csoy@IvAW@#F_<;?r+d0&kJZI~Ym!BI_${-&
zna;LyqJ66=%v>bGlD{5W=r}O)9=lgxT^YO>gU2D&{X2J~e=sdhP%*B2eSe&eX~hl1
zut*{~dELb!Rekxhpn^rQ``Ax%QaE?FEXr7t$AcoyV7tcywTD(&T}69c@~z75r}(y-
zkH}zM^!QbAf+)W&Ww<Xevu5mr1t%y-WFY{aG%xjPff#oAU1Q?4{}?;PKtIj>ld>zI
zb#VX88{eLX#be293)tJJGDm71RsVj{3s?TDyL>mWN_RBSHr;X#3q-&uo%l6h>!6u1
z4gBTrAOdPdM990lyYGKu+#9|i1suW#t<is@9i0gQ1^FpO(f~sqkRR|^qF5UG90*=g
ziey=c_%rHgfCzyRav*9FKyco9k^wt6Wu+58{{0EJn1B5-|65#Zdmcl#?Uq~argR+C
zWfc?@N~-_HOuoXuWcm#S!ro*U+)mbIT+F<^y*Cz=YY(kQjX9Bc6fx+)cDk=_5r%4t
zc3^e+IS?q%HSLe?Fz)T`CXf%ec(vzVq$v0slOSYoVd-nv%7HR)Ar}MkC0~J4De)k>
zqq;}}2qV_VI<;=rG13;Jb!<<RRpA3jj_4A=TKT5~1&V~Eg%USzC5|t-6UU7A=gL8S
zaFkUy{GHzl@H0t%OuRMP_E(V7@*S`m#qS9C;hHI0JePZXjKh{9yqP?Lzf$A642V2Y
zT6?~9Iq2`z4q9GBnS($0i?h5m^1c23L@<7vbFyQrQ*DZU>impgcXZ1eR;NDJp{p!=
z)#>>f#K|wnpvj6=Fkobb^VQKNCXP=s=ND`vJk+}})NkX0Ip53m8=AdmIWpG{{Xqit
zn-Bh;$?rq@qm<dBu4lRL>dC;se<2jqI!wC+C1|E_Xm&(wR|)d;r@<%V<Qc!i?W$*~
z`^rwVa@gr=<h7oqNgI=PB#h}TXk=8*+PBhN==%}$qfuQEW1<zHVGSe+I=>L0%&;4y
zO!kG3L$M1Y^mzuaN+}N)?u6)2&&&J}meRR5ksgc9u;;Db3-KL}_h^f-Qv*j0cV~eX
zpC7Hn@lb39EJjMS+LI;@+J3sQm1t&9YbYRJ6sg<@0*QD%qp=(?_iTB1u`8SoeYk8>
zfOO_%o%Os8=HGpu_$7q)6LI}B5_@!$gk7czw&)BA!8<aNq0)Uo@?^}Ehs|Iky&S9K
zU^z{>E{ZkN(&EKNnxJyH>x)K--9^)9y5TxB3#j<@W2)7Ji?d{VO6=t4ie3n(Os2)<
z$w+U)RaobVe%4qb8uX?;Hh<7;Jm%nFI528f;|sqX^rfk_gH;w<Ov2?2&sIqkimlB&
z6DVDLZjm=U@d7JS962Z1W&AV#n>E&Zfy3n|fybHK(?e%e5Z&>hHv#7Jj7a7rIRU@*
z$S1OwPK!YXbqF`BlU2#1iM?20ea4QO>sI@HHK_Q9?b<J_-*$))alUG0`ojbkUFK5S
zw@EaPR1<O$M}~!}KJbOA5oWLNO2psp;8n8~=?ZQsNNAmZkP%r+D>Uaw;X_$_*Y~+@
zFJ9Y)Go)~tAybdK(eSXr2;5!ZWcsk4pslW4xp*ik3&5l&0@K;{2>WF=6{QFKzhft7
z)WTRZV%P5TOVA+6{im`RCk1)PU;L-JsbzFZ)NWj`J(q|1!QJ_`kcmX9ms`1%Ko>Ot
zr;O_#?r#DvJOXOf7#Z?_!C~KgHuaXi+K}b%43Yt4kj75@>6!+9uqj}DVlb<k)tLAj
zsFs9vOZ+$Q?SBK|l<xm&?JJ|AT;G1T3Q7nF$j~4tAl+S}fRZBJLpMW*f*>do11i!j
zARR*uFvO5Uch}I}-EkiFdENj0zU!Q|&WAIfo;CM9&&-FJd#>wu{emKFLNn+Vg<=)=
z`g0%B#}f4^1apq3xp{@UQV&iiFaGODaYi)M`AO0yDz9{M*430qZ0@9JSN@Z(sDOEm
z@qZn={S$J8rGq&ppE1z!!SMv`;kyGU|F%8qyny<U9pRMH8`Ew!uvRv@Vc@*L+PQOu
zb^sDrcct#%14^UZ+)J0EjuqT!)=Z~5R|4Q4yKN~XnvOo)nLVvvj{Rr5^;9mZKpo&&
zKKT^;9iV&%g=N6CD+KaobSWr5TVM@#uDDqD4~iaG-W0G$=?W#e$5GTMJ!@v*Hs^BT
zleXzBb3{<_*nY__;Qx&};5<wZ3pLlDs7)uIX5`UTZ_ghb7rQT>Ff`v5Zd?`~n@}IG
z4d;Kry{d4Jhx2rBEJ*MD9v5AMV81O%N?2b1oE)!C)}V15GPn+4tz6k_Nk95=S6-Sv
zYIq(ln5G+x$zO}yi`y8kiOlrPMO98@%S2_lB_9*ia%ZD58S_0`n@62`SvL{_O*15<
zEBR~;tP*B;(_vG;WcEfMIA+|7fDey0HFm!4(<OR^3H+RR({;yA>^>*0;P))mDScoL
zHe`;8k=k(V)W<gcmg_@ZC<KY?ELq-35lIagr)FfOpuDI1%=~q1v#1Y!W&rTLfzkD>
zxlZ#mx8U*X#%`G&2Z0AN=|AlrAJ*eV5Glv-Zzxv9A6`tSObgxc-PHN|qUWb&bLd*V
zTFl)gIyWIx2wCW>tkyEJh|sG+fFOC=rDX^gGCgkm?CW%JX^1`={cbzwY+M}|Z_QN^
zs-yO+OFmAUoTxOq3*bGfqhHruUZW~cEK@3Fq2($mAd<qcTUrwdfv*m<Zqo-SiuN<h
zn}16u@Nv0xb*nFgqDpKvC1MT1RbGDIzlK?UZ;11b0u7>Y*zItHg&CaW+x(Yt9GB1e
z$Fj!h%Ue{=aoAY^TESxlWx`!v@Jq<3XEj`i8>s^=Jd~uI3Bl8{F{YJWYa4AmeUqt%
zTVa6D&-8O-hb$bCnr+ch4Y-f~QY?tO)GBjYh<%Rg8(WU(DsGw_h<tpRc$BZ@6biA;
zso*OwKtt>k{R7KO2y`53<Mj95vzN$FWkLY)anGD!85uVHyDb4vlH(__Obfs*Lrfj;
zm42hZ`LiV5&qMV#-fiRK7Y;YBv^49n^xA}X8M}+8w~aXpYZj%Z%~Vo5&V3Q*bxQ(i
zB&+FOo@3Z_9&HiPQYvB+UG#(Tlhlv!*)P+bJE20^JXEbLpFhQFXv#Dj7o9KY4#oI{
z=_w0JgPc_45``>k<zXp)ro(N%rBfO2YG$~YVhRkW+H`EIg@^14f-KjDM;$Zr?%AvE
z#U1<E@QJ!nXqgGQ6pq8B?2Cs#4v0|EnXOf7``q;fe!QHmqXp(X<QYRDH%yp+dZvB+
zTTT@~(-x%~x%mm!J<YKFQ;%qhvfl7Jr<`?J-Ub7)ML1ot9y(Nv-a32(S~7RxOC1(q
zIv1I%Yt8wm!_pVJWnR%Q0-zNQ8JV^<=dvllBrqSnT8TRL|5F78+%}Sa*Qr;4C5ui<
z@A>#kQfz>Hb%pAa7nS<2J1yP?QXPfQrdA|K@dLFcpu%SX-Z<iafUZuzsGI+kN?+Ij
zHQOIB9)R3^flSg8r&nPhjXSWVkt+CU_f2te8E8^)$cFIkN|}&1eWr}ss{jx}UkXa;
zQP@A9(bS}S>fJ^hLkvD$IYF?Q$^>RPW^g|V+naesnW5zCstQ#qpkv2RCX<2TduJm%
z{S5C&eqEK|O_kA2)RLF6>Eym*@m6lAfAO+Lrj>E8nK}7TAt7m0AXQ0;Tpz#{=2axW
z9#nI0^bkCNlPM|Na!1!|QBKt$l%e3-Z@tf~@Gsy&N@>M;<B&Z`mAP;oqr)*FO&crq
zMxoLm=CN=ceFTzXkX&j(HZG@FpY)|Reu^|-kDC#r^pW;ev$`fU(rI9&rGO8zv@hc{
zi9s9Dt+3DbrlUV!hLKWR(Tn&1Nya!y7`X#>lv|GBsw$9Ry_=^K^7KP_e4J!p`>m31
zFhHXe?mC}LDPT_-o|hrV7FK|>Fp*2hN77tgf_XKduxZwx$46A!)fU~vSc3UTmc%+R
z=xBkzLJGPbfHXcxHi-2y&N7ps;<d+WhC5C?YO*8rNuHkgCG(m;^Q?dC&Auy*S82;+
zflTHn#G-=Z7^LZ!q1VeoBe(hSOoTpsd|!7lgnxjwuKw`Lq{px4S34=xgC@4Pmv+(5
z_(-14zFxootoOvOaC9E=G}{_5HdB;Wt$<?+N5qJMe~3bWnf6+#TxY=xOmD90mK`ba
zy<n^mFA2fuvkb`4D>Y}l%zBoLMh)n>BPa%!WTANU0eoyI^cezvP*C0VqiMi<8-yW0
zZn>0(n3ttii)&5{Gq=n!X&A`V-e+6H^E@}pcq7f9gu14Pe-Z6Il3uik!@yqEYx2}}
z#6(YcD>L_(#NvM2*3l7`E)omY)7)2?b|<>}0e5#{bkLst6SxL+xr8o`6tp*lHIa|~
z)Vf>w@S>%RY;SXzo;z5$h0&=ae^2kbryiE*8{v!^(J5zKJw1kSg$|~ua(p^fj>Yc<
zch7$9S8BNasvOU1aZ(s@=V-~&D{FhaNajp;S4wBz^$sy@{0|4rTv?oDoRO^&ra&VX
z{uTk0uc@>^^=48Lt?izfpe!u!OT(*=#L;xX95wEpiCm@Yhtqt}4mu>*H3el!wzK_Q
zhe@xv)p=?6ua;WmLxo@7QVIzVrpGc-wW4q524<bEbeAI+V_T5VtNPH87}}zx#fKdW
zpVW>V4cq%o1@gN&tC<68G*k)fjj6OVFglRV#(whm#H~up$LGD*5}VMBap_&pshyAU
z<Qu!DF91c#r~g+)3gu~rrKhK7Z?bq(Q&Xp4GayMR-Yb+el=xHWyyOr7aH2yhz$bUC
z*tAomd1z?pKfsSZfKT}#Dgj<MEx=kb=h=3zzL{G?n)Cc|LRh2+lHWQ5I+t()00G87
zZc3m#lK-;4{67$r{CFxrTks`aY0A%)ORWWt^?4{47=g9Z(z(r4?!L~$LOsfn#uZu3
zQ}0LiCJ00a47I>XU=`j=%6`AKWq>S?*c7EET$b}iat^0g|6u<;m(|M;{4y+MZx}O`
zN)tmVsasag;N|LRraYoCdzmetK$N4iFv|7j45T)W%flG!@c16ve(~78v;t6ajXMUI
z+mS^iM+T`<Hims}01~xuEp=zaw`lLG(O2H^Ei@SS!wgZP$5-Na<kxy`O-QYvQ>dO)
z+ILp-kO}`;=A%4){Dt$69KrWS&QTHCeFX&?x|brt*#U!?Oig$sHcqDs_vn>7-~{ZM
z3#r%G?1eT}hET;jd!a&xLutKdQtT9058!PeZm3^7hiNX1RM^FS#S1PZQX&gIH@cJ7
zpDNRSA6E@?QL*@o9s#wq-OhB_l-Hql0!WL`v@;)D@|z)tey~!7sjMa8`jj<>uNQ8j
zn6ST+0s0V>Dnwf6qHhsmHm2_)4-FNvt1wngCgMS)SII&hA$6el9_b+Egw2x2Y+hTd
z0GlFj*F+^s>W#PrTgWI~E#qstM2IcSPIkG!s-7?7x&63GUO=bcl)~?K&+nEjv=DK5
zh1rppvMMRLDAN%nm2hy7M)N22^zMYx>3_o;t|8~;f%n)AR6St{1;`@3?DxzGW!2~*
z6BEBs+&RKN)^;ofsx0(wo<5NGf;?NE1kw9~s)-I;`AKy!`-NeZel-_?6488m$-Ltp
zi0RMQ`^K3A!-kS|TFXUx#9y@5#C}eh2ae~6&5Mz>24zMDh{LSIe-^wW4V{$-Dg0oi
zhx&7vwZ%IoftHl1(kCa1*bk7h3wq29#D}K1iwbYP??}4er50>bucM-p0E+|kTNfhc
zP_NU~AP{w3sn+Gr$h?_%3@B{rHJq%s+-k0zZn%m6dC}*!ZlI=alT#D!ZFbBk1<j*~
zwejk_YC(c*KbU!!GJZe06LU}Eah@prO;~!^I1h?QwK#8`!IR|S8xQsVPgJrNZjm7y
zF+T`iRc<|+oKP85#LUZUhVUq?6%mkCL`dbMNR+atr38Q4sPUFGZV08L1XE-a2<%(w
zwC5V>DiJiDzp1o4JZUaCRyT*|>us%S;BLTIVf3k2LiW$U{-PF;la^A~d`r`q-$Wv4
z<+M7C?PU5HBpP45&Fv5f3SVxj<U!M2KN04|Ohl=@$N1faO)&Ugh!*l=>J6Qs?9U)a
zCCu_(X&lU~jHP^{Oa_-JYCU+-cwhfy@=#+U0{Zdo3oK#I)4wEXefLOx_exW)Hn)!D
z86)I#toW)P{u6zOPy{+TZ-5;RmdhGk8T9}RB(0PF)K1RAE;?fMfXa;)2z11)AU^!w
z7p0n^D#v^T1U^@xx8Hl!1Op~eQ@}WIV-%K>CsnL{3D}_kakZolgN=YqcVymDP4%CF
znU32n_6!is0ZP-=9D%PV&Bs!mOW_#}ErTTh$eMX4c{91?;`3q_5D+^9{Z~?;!dHOL
zfIb}OtR=?%r)VRMIlXrYn13I2u)=_$T*_%P)6e$B$@83xN&4_N&oh9KTaP9@!NimR
zz<(+#dgvcdUQ*%PS55#heWAgHyVuqA&ds&6km+sa9QfvZw72?VG$r|>$?s34rSH7!
z^{=w4p5dDKlw=V&eSuPQMsHfg=dx1O#@qX{@xvco;4N|EG$Si5?Ikn6kkBdM5^kDo
z!K9q%$&~&DfT8#TJIhv~k+#KfhTo_@4CFo7m58_5M}XSXxKz&x{?cj8Bp_TM1J_1=
zY^7iy828U`Qu~PcLCLIa)ehfgPVaL+v9&jjkwHc;&ljh3=DVUBly`NT)r39C4t4eM
z&J8TinVs5q+_gnDC)gK6P%rDh_wrl8Wb$n~c4wXw@kTNK(n1hdTqd))o;3J<`jTy6
zvVEdmF<?a$fgaM&L9GD{?g=yCM3thYXdN6`(gxG2xXe0_^~t84422uBA49Ngxx-oF
zj~Qu+))G+_$gxO}MKJ3X)&$AG@(>p?sUbg}4*Wb<=4Zo;j%xuV*}T5kw=W=o+ZvO}
z%?Tr}*c?11dJUtVIZ|1|CCB}Uv*$56r>F?Z%e>2)wvQE#{-$$*nz8GL$@B#li7Hr?
zBFLjV4PIFpNT*HUTB$8l45tZ))@{p~a}%bRzVOcX?nLxjJR8hG8Btv?;dbxJ52R<_
zZ5RI8{K5jcK{*XW6%%76wTIb?8l81<QS@?96k0zdj4^!mSsS<R0e==p5Z+Qr>Ryi8
z7?wpKWS5Pr`^{MpXs4El8+KCrWjxBwYR)COKkfY7O;`Q>u7@mp6qa%y*tB@_gieTX
zJW4|YiCIHf^?<NUdHgqEQ&3AD8E@*I5<HyAIMg-7H^PwoviqTY4mTpav)hi_)Y~W7
zmwc@Z!k*hOHkMXL0)O5#{4};y(5~3bK%m-w!kGcwXd$<}UWSG6S^`yBLdRUqZSE+>
z$^Q;tbc+&Vw5e_T;Yn!m8NiWm|C$6wpTt7E<Z<gL@8s+oGc&og{YY!{1`q^w9D5vw
z{2T+4PzQ;?%kMRj_}srn+|&V|fE<#gw#0?yOCGyTe<luQwH6b-S#zN${9J4~$;@w@
zdQ5GkPCj`;TQV^MD2yDvDXQVZp>BeK*Zz^hglE%E57DzJL?@4`eh}Q*p?+l|7_AV{
zm9QR$dlY45x~}o;(-)7BhITf0TOD%Q6VZ1E-7jM&tfB{8lzrmiyc-FeCOX||j}=x|
zU7Cbpi4u$fT~5DBJUJg99(O)j^;yac0<qI2-etjL668-Eim84_a$ypSe4nt`Wo&ac
zAnO|Q>%GM#x7^*k&iCWOmdny>V!7_49r@M6tYSav>V0Fq(@Jj2yVFc0ic1_l7wMVc
z!Kdc{a2D<WR7i2avC?Zb6&Q$pUA6%d?5`itcp7y^vy%?6{(+bBD1d#qw3o9FRuCH}
z7qp(UcfMPurilDe^U~e@?^P1hE^EszvC_lUH4!{>0)#T{TrZ}u75o$0#Bn>*yIWRX
zK4Dkh{`cdc^ih~>%*emaB7m%L$9-p7oQvy+GUxd{Kg)NTn#T#LmyKKh^qMR{QD>eF
zgZXALe!UNZ{9#%ws`}BI{1b1RfA>EW2!LM?K<0T-zVCPO*pVB~R&&ntb*9Le#1VS^
zr9t`_)|ZRW6>d${hvnt!HURRJ8lZL`&Dpr((m+dE*xa%^dhLhv9aXZo5;K54lz+x$
z^<=hqOqi6{_OsIyI!FTR8PHHZpp`H|n0qT^xqv>e9R?$&zTF~Q_;0NVbJzz>6l?e)
zl@<YQq5KP970Z2}+(|Ld&;8LWk|dTHA-}@@Di&LWL44ZTrX^Bm9w+!!LOy)2nU6*&
zp=gX7iLR(N=<dAdU^hq)Ovv_pXZXMu_h5K7goXRIbLClV_WS05&hN1yD&tg0nvf1B
zz#y}>6Pq@XSbN-7&t_HwzcY(x|4szrA&0uj<C|ty-5Se#p?Ry!R}=c2{XI`;ha!iG
z>nOD*?qV&NAt{KN=}vDIZDalFIm=6Rk^s3Z_IH}j(n$0pizm#B2dT3uLWG0#s(OVo
zHkuHzbJy>OFISyQK0ag=Rtn(8787m9>wj)S8EkY2oA%n8Qd5`D;k<byCF*lmp}ZJZ
z0Yoi}(FOX3FX^xbnNoOGtm^ANgEw$0JSBgaTFm?tn6TApy_NKmg@SwH)5kq5&NC?z
z(C6X^{<nMY6_UH^8*jY}2D{YPUH~O`)kvSoCToT&zV`J1fzrPA#`@;|(g9{!n?k)(
zg1(QZW`aLiv+QY$C1`h@>1PDvq|(pVfldrDUOM-kLkO^92KxgD2cJv8XkP8}@v8^%
z)<#?7KQ!vAo(8BYG2f_1=fx)l$!BCUuJ{YIthpb*{%|oh26^WsIz|?$*A|hAy|Fgp
zE0BXyM`Eh6riq*-E=0Ga$GPcJZ8j8~*h{bNPO2!D42Vmhf6KfxKIG*VnxT@7v&TIO
z-oljcdy7A8<Fv|G-n1t0tal`uh27_x<$8VxF1UMEUH9?gK0ES;jHmgxJbf|kK~&Oe
zOvY5LOBe`7Ba$5;OnTQZ)U`t41j4RZo_K-(jHn@vN`fa1)q?k&8SozMj$-~Uk2>n?
zG(KqkE`)z>!sRm=?U8=LY^GJu*;)lwKA@)}^MDM`=Zrr3u_0nB{e;9`zQ<!cl<vV#
zHMxFP0+W%BZz#7cStnGO|3a5hQ0NU#T({1Z?miu{v-9E5#iKFxJJ(%_=JFZ(LB2++
z(~kjpL$Oa+@w!-@e()o}+2rlN>VyAIiv%zlWk7u^ATD0}EE6!Jot~Vmz9kL>OaBiW
z0S759tx?`yF;g0ZLdJk-adfu@40*l|oEiZM9PvQ?lT-MX?LPy2QXqT47dIIY6C;rl
z8AB~$lv!C>_5zc@3){^YnV6E4SAewcm=?*5a=Y<;6Zf3ZKc|=u(B56MJ0kRfp`Cn=
z$LXpMhfm$jtp$Rrj+#7r4*_QTHx2xMjOzXk(}PpN1!d)5*|dnTy)Aq+qTb@hbQ;$#
zHH9!mRL;AKu(>x5h>L_0OhbpFt^0?_hUftfKzJt!`{ztR1nSKb-Mdm!Nr>gihCVp+
z2a%A_aIcP<*s%qy30Yp(wQF;2r8lX8X1b(%f*;y3nw{TSqX~}G`|8s3aD|u&3aYr`
z;pdG;q~-2T43YKG3q+TDjy<nvoYz*A{XP_(CusVTPgGMj*4*Cap`Jx<q<mJv1v>wF
zQ+vs*#NtdbsH-C$F2KRw=3xK%>ScRr>@gz`BX)Y6#Y5dM0l%uj(DWt)U03y|Zcqlr
zqH14@N>fW>-7@f*g#KEqnIQkHX4m^95INIGb`4h=ihSoa{ImjmWaZRby*)JFA5+xa
zJ%8L2Ex|6!lcXy)D4r>EgT+%`&{H+y76rY64YQ7F**cxusp6K-E0c!CX4r+OTN#6T
zHkk)o^tm@61H(T$N!aYY-=xIhnSY2Ac)#Y>a}2hdAPfCyI-<`Vn-8%s7^0_;k*Ive
zn6ObCZ?V%A8KZNMgsXPAe<q9@KO?w8H#u?lq|2Gi!k^JS)Z9%O9ZSob?&hrhyL7~F
zd45ql52T^-Sr_AS8$pr4fTjK`OfGAcOIkk7#$SNTqaXoyaP&)|foc^*3ku>)rUKAk
z*+nI)OUN@>1BSb?@zH6zpHk-JVZd~C^mgVcQJY5I3bs@IMxeG8B_a?s&@ayBHh`CK
z0j7CWQT*t^+xqrb;*QKrxZ;ehU&g5c^Xq5_P|P>kE6@XH%niZihnWJlPCPiDsR^Zb
zEFYxn3Q-f06HEyW38u>2JQ>;GJjpp5pHO9xctc{}xDFWLJZ&!5WmC&1>`DCTLF(&0
zs>^P;h6)Po4Q(>&NtDv=IDw!}c231ARY{vaz&jr?%k67BBOM6k%?YOs4B$n~YsM{C
zXiCCeT4Ye#7Et=SRGY!j(SQyCgX`+%$TU&K$0HA5))^xtKj=egQHvkH4P{^7$*;!l
zFP0K2Po-h%c|j#wIQ@0)H;(p_TCE&Za<4SVvCo&1f}m+76^Kn;&SeMeG|jZ3ljUe5
zM#@9uO5(v?$=K$o{d!IIWY2q<+elrYF1fYA<?gp~wXs>BVpX^}JNVPwaJ&Tyhe)x5
zE?z)T!VH3zI_M;?|LI45RA2%`qMrb*8U#fFRss_fx-LM%>@g62PBk*4{znD}L@xo`
zl5gofDK}>+-IBnW!$o%Zp?0NQ?imrFfy)9$bv+J2;$FwuEtAvXF@N4%lLV+q$d7ks
zZXAF_$`!QuW1QiGf5v1SOu$FuS*?oz@a_xn%@H`|^$Ac@!6bWoTmB1A`dfPfdj`zu
zfVgal-k#pNqTm079wD-IHY@P{^n!F|n1Hf`^HH#LqeZC>M>3FXAd~o~?JQXb#)c(;
zdkWHNp`|I1pckp}{Bh5u-LJ-U8Cx|K=;*hHw!pd4H}BdjMDai@S`R^m%%5IrbTF1q
zKTZFT(wl)A*5aQX;X*b`gaeey+>Y<t%B~KNJ2Q)W12^}f4cC5O%&`Vrj3}6h2BY=D
z!ld}2-uT>nceuL*XbShOjpu(TuapH1MbBxz3do3wdl%&@>Fg>E#lhaJI%cVy3%o&F
zGM2sRknUO~@snrQR}MsJl*Wr+IkB6VGP4V~4=;3h>L&I=sjJI!8VVE*yBpc6;*dHj
zpLOC#Knu@8PYydmEi(Lc#xc)gR=Q4@8=GzpZz?<l>+B6IX<A{;q`_s<!M_#d8A)oj
z!|hQ@k<#Dvm}Dog6XirPGq+yU8-2Qi<2o$)3p2#zlbPhIM0KVP{*Q6jzb505!m?8>
zayD7vGiKwe&&H$aJ3tH(A5xn+dUmM1IK+R>s}{%kNK%Sd)|^Zo>?gW>d=~HhzVzTV
zY*}&kd@d)SC7N@2E1XI35j5M6(tNVGVY2+UyOxEQZF6!aq?esNe)cp=K5K_yV$DdQ
z5;0`y@2IkJSSC2>a_B~MAu_<&);w%Y=^m!^nj?O8?32y@HfDx?iJZ<*0)(dlFlQXX
zxbZG(np8&`5ewxMJ2EGQ=EbE7+=v!TnZ?Cx#-mKm;~&P{oS`%*ttt&5m62Fqhk7|G
zTn^-W{0n6JX#k#VeL)nT;(@zj1s~rp&gB{t+v%B{IHK`{!=yw#)qq!bu6hpPsmjFO
zA~{samFamQDBG&8@*aL01-XP9$dRK`UZM`9q&g;f^IL)uW0sF&UU7oTTUwPS^!~QE
zRe{%&3arHI!QTarW}>7Yl1Xt+Eo&)13feRnEtM|ZT#=$oWCAOtlj6|ZD~QnVc|6vl
zYMJ)05y>7X&Gqe&i}f|#80DN7qg5Lb@f3w_g>SD<_sXy*^tL}D6rE&hsY|K(c`_PV
zQ_Q1SZ-z9`g{>9=3G$FC%ym8nbjVz;E2QxzOyJ0E1KHV`3=tVC$Qn+hjvT1^uoL~U
zvXZGk`df;YL*;{|0B#M7HjAA=0k6*jO$HLxJ^70`p%aEIh%@tQ*P-M~N$3KyvvsS^
zmqsWZUFz)pGK+uGdWj~#uBd%hv-Dyh-;6cq@U-89Aa-^rNSAL{ddg!EQ%~9094(+U
z{u5o>>9MZ@PN?k=e=_vLwaF{@03xpB+*!+r^+2P^FZ5?AQdxsNzs0*Ei2u3FjhE(1
z{<xweuASvZt;YG(@2V>!&8H>rG@<cL6^eb+B`99p7aF^ub80OxSdxcF^|}ryhPK}u
zg26NCh17omk6!{seh>b>xDV`m%?$YS9`?T`a55I#_O%7wF3jeI;a#R1OZ07b#qqv+
z^@_mh4A90Q=Tfw)Rd3fnwUSbv7Rb;~Ud_@j>@RidCG+y}9j@oWmYorSfYq79PLl!F
z?Z)hPcC&&mhpYVnV08jD)Hri<iXsYb4kl)z$yME_y>YvCKv3OoRM9(qRNb8@_P*p&
zrsilwFL~wY<V12k<lgNf(q^pw?+cZC|6H6(?!s9F!CX=z@J@{IH*H9DKB*xZxo2sN
zWVN~9yK(OyRVScOBwo*q{LNlgRC-#sYdH%L^EPyKRbgjl9x!UN+CSGGR5+`t>q-3q
z=^q?7@t>&`+^&`pL7Vx%pM0S;tg<`3li**TT~pxueDTIUvf9AK<uk0jknZhqE<F5x
zcYwanxYoC78w>aL@^@kE<3{VtY1l;AH?L_dHfuQy&!;c~=HszVie<s=g(fmy-zb~+
zf<>#mWV9p?)O8tPk>30@;DM2DxA+bB(Mj$}t#^}j70cW4^>|^`>;Crr_1EaA3a?+Z
zv`INaBNgpuy^<BJ7#w(pt5w$iVI?gU%%1%ixOoPQR@jDvM|l+8Og{|@yA;Y}c={z1
zjEXieqg3?yrA%i5^SVNa1JsI0#=nB(i>T5g*6%s>o`En(|B)P;KmYy2BNY)hpnvI0
z8F0*ptZu`^5^`39A9ONm*g>pOC#uh9QwUKS{8Q#yOZ7@<6~<~svQ-COzs^FF{!AS?
z@>s_>v2;cEQrJESGE!+bquOJUuYf+*WH@lR7PI$H4%Lk6cfwQg(0twVtvlyKsr<69
zsB3ka=Eh`x=z`{bQgvnS(P45uagTIpy327!><)_{swE3_sCqqpT4)c;MH>__3K<0&
zO-oRemr3rWV*4D!?jd6|1^Ea&lD~SU{t{qxkNU{;c4kDodQonoCcewM+q(31`Qf0i
zZx2Q_OCi>1UfEhe(GG(k;W5L}SxJRf8O0RMko07&!kNm13K(+(oj=sRCR@P!*8G7|
zAKDp(Hou{{8b$QfJ1F(Jsl4t1kBlN);+v2x!a4~w;#=K}jxOse4g(l*+4nR0eiXqq
z{BE3gd5ITC@ME8ld(L3=A73$!nQNg`Y9%l{91`wt_mn{16)7~QP764A`8d9bLLhz>
zPA0^ba@wezi(W##UDBN^8N|%}kMQu;9}utm>EY_udZ~Rl6ietgOVOLQ^ndf>UJUqM
zc`HSk2{>+8>8UY;jiqga#_R`WHU3l83T*sLStZBIv~M+4H__P2hN{WlrC{D#eNB7Z
z4c!(|dduNUEjyfH>%AMaj?zj4hq-?OIQfbu&4u`Y(Gl@ZTZ8ndwKvYF>Q}Q%FZ}#R
z3oG?I=dT;^=8wqyLtA`wiQmV{NoBq1zK(+}shbu0(b0m*yq2kkCUpFTQiCuUyI%yo
zl#yJ0e7KeQ=u==lc=pcik2d>`-Jgq^0H4-cfFli<+77cHph&@o6yR(~-0iMUt>l!a
zN&KRs7l1?3j&!>{?0=t4pX#34&3b6&sPBt$(tNKwTTakm6G-SrUdfSk{(TgPZI9La
zlGBH`?e03db$VY!@D8&-y1nDB(88<D+Y8_mTw)^60jg%wVAk6N&yOF`2Q}VHT4{g3
zepjZ*50;5UB40cyD!YBS-t58Q@Z6b=jb3xbBG^+4|77)2><?;6jFkd;Hm;26jImP*
zd{RzuGym|714b){NppWXuO9V6BYy;ngqUj6j=y2NMVOchJ{<JrUiqRM@#9VQ#6)(c
zgrQobTbZ7RLs;w+5cV0%4AF47WOChF$a%}?gi@bF!p#N&lhW?@-dy>oY98vIP#no4
z(x}}K@s%MkWUXzMhW|G!#9waG+tLSV<xj3x;a7_d9yIi7@jc-^1`$q{ZF9Jpdg+s}
z=4TJ;6V&nh^kei&qEjR6Nux#t6=z!*9uMhR)8obWw~OO3w(VHEAJuVX7EAoF=WbX%
zwI{AQe3`Y=W>gWcStPzG`&%--6Dq^tUcNAGARt)k{UYOI;ZsgGd-v;!c#6rvLOqO)
z!;PY!Sptwqk}|f$0dsb1OkCb&OUr$6EekGN$-nlO84h?OR4Mf+JvI_WwcM2D?Cs=O
znrbII(wfBOUvg$mbvEDpdYUIs;?RD*Usz`2Bfwt~H)~7H!Uc*KkTN##kOaSZKS>Nf
zDD1{pbCNlLbT0?%kvl8M$9hXg1<N#jV6L;f8>3*$u(Wv8jtMtXdd)-b1$*!IP46uc
zHamanj}C0i$DxJ^CrJ^d#5M{ut20}o0~LBv!Bjqt7;D-|*!V{_m<qDPXJ;f!P2;w@
zl^{(@C9a|w0hjq60oH}f!HN$RVk=F!rMZUk(Buu{3U`^UGI1}BVdw;$-s<f)6or1=
z_Utn7A96hMf&L-&7{u^>XVvl6i8EsmU+&K{86|Yt$Na9b44#pES6x=-lMvL;g3yxZ
zwps)+M#UEVTaM*!2l7c(*=yc&AtLKuoVHlX-dszp-30^NZM;{y3SO$YD+xP^ybTAv
zs~L?U_Ru5>HQxB-8Oi-JY@e%!FW5e(1ScR^F*$=vN!}y|Zl@0ML%ip3oa4DMlh#pj
zL2xO-lM^=2n~-xvy4>3z!+04gMasm&x+5K>WvL0}Uxo>i4TLwuNyrLEV_TYXecKBY
zgM+@Vi9XP9R@*h5EFrB`QtDx)WO7;G-6)OMZ^d72bC4L07j`r4$9Qe;<$!(%O1h4i
zn5SV4{zCJ9bWna)<wbAK38$~cT|ti$IgN$OSQ_J$F(wBO5ATTc>N8LJwD_*xNzC^e
z8!bnaEWG3S{4-bSjpD0dpMjfa)zzsPNa0LZ`>=D%LcNTXlJ*q){!rG)GRSC5R770%
zz;Jc?_>iX-$-$;6YO>F9$MCH78`~7Wq(aVTB!K*Vo%=vNPEtZ(k>_OIh=LvkDm~IW
z8^Y+{^|vpGK2cRP|LXafvnXP$UTZM?>Fe9Xwwvvb78c8ZqNCkxpKt`{_N3S)slSix
zP|Z<iaod4Wg@uKEFXFj<{uAt>z%KZ!YL4sH1e^slHZ-J;8n|8f>$~Lb!ua?&5PG6n
zTt7EA2O!dtdD>5I7iYO!@B3J046XrTv%t+XD#k8mG6-&0PQB`Z70kPSKu@_X-Cieh
zF|Pa=_jbioY)|~}Eq@LDC9r$@%)c%^RXHOrvp4>J_OJ5)!wLJ(QTzY>!WUDO%Qto4
Sy3XMC-Q{GIr3+sg`Ts8vqeN2x
diff --git a/public/clustering_files/figure-html/unnamed-chunk-9-1.png b/public/clustering_files/figure-html/unnamed-chunk-9-1.png
index e36201544146e0c7103b14cacda59b928c43f500..6ab577571c5ced5071674179b2f703b34506e29a 100644
GIT binary patch
literal 256657
zcmb5W1yoh-`Y$>cWgv>Ah@>DbD&2@Ql9Ez_bV_%ah)4(m(ny1JHyD&4CEW-}OLyI8
z8Q=embI%#$-Z}PmyFplUzVST2dZ)jVf)w7_%V!Y;!IO~|S3wYLQ3N?HdKv@1Vp@ci
z4gYiIk+hZrf>8LO|BDKqSu;iuYD7l-wyJCF(x{ux+Xkvrs~w*UN76^qsbBu^Ka(bX
z*8fL%Vv@0|uZX-nZBg;vP{FSsK8t;8dwQ1s3nmwa93HXa4e>P+Z0ri#X}#^8CP6Fm
zi6^f<{n$BL-?BG}k8=CTw{2jWFdH@b#qj13eHV}Q=#w-?cRh>6YmP=Grzql!Up_G4
zAS(}Y{qm)7=X<nByccoT^@s5_p*WHa5;FaQUsIz3I*RnMD0d!*$C?**B*aLSn_Axv
zaM}nd;VFN+k9UzGM1gde%{FZ;L<U*1rZqCU*-0_@1c!UsDDToBS-JLYMcuvD?5L~c
zx8^0drk}5dJ9%@LzX)J=%C@%kZ(2#X{S+roz(s+;Yj^d%zrX+M=#&i>M#kp$kuuxy
zj0{E+XFEGSuYFEjaxyYwV`G`Z7R??pkDXs}ob%(KFJHVkxx74T)K1Q0GcY_Xmt<#W
z=X1E$6shmsl9X3>ykGFJDP=>hEO4s)>sMKNdis{`SFg@;adF8MyR3{wvg<c;EYbh$
zN|qWM8@qY)M34N`1xnAk&i4v&{4E)?GjA6r2P%p0Q^>e>(+-zf#|U|F`|j?#N;Rbo
zhebzQSX<+X%E^65NqI)k%*0etUhcU&>6a`O?ET^z4;@KB@D;v7_!NiPc4H%>x8dRQ
z3k#RY$?NtPK797Okicn9&~!8#BcrQ3x>9#iYdc<xOM2bN#3Uj-JToKX(&fuTLqq(0
ze0b#CR?Q(auU@?hJ?z*jYCAkWSc&1bu5?{9ynXwzG@YUU=NEVa?we*)ZSV{S+sk3%
zPoF#yJ~`ZI9K2k{#=+q*TIu9>fl5J9QA0z6iuch2QBhw%KdCTz_wE`a8=LqyZ@NMQ
zg`5`N1_a2-*_U2#_*sN6cADl{h;y2DnN2sv?zqoMoRb7)x@CWE=%HZ&@6DTC_4N~b
z+y&T|9i@%t#%ii!Vus-#eM=H>UJCI{KQ*zq$da6`$*LeN{m9ulBIQd{lbmUOL4m<z
z(?K~tKE8*IuVtin%gFf*K0VW|a)zfZ&VLd4N>rw^Pu}%b=$L@-!otE-Q!tf?w`Y4S
zpUC0romRz%gS<iHeD>4LZ`h6ubZ_4_7%8`#Y7DeAI4&<QPuJWOZw#V<&mSN$iRW`j
zOTp~08`+%yuC3Ym<;(Q2ZQarKu&s9Jp3IJlySqECLn-m|QX7Qk89b?*Azm##yKd!X
zV<0)+`r*;ecu7eKE34NBC03F={kqx~3prWY+P$AKhlhvi)=LjFv$ABRii(Pijl6e8
zUFat}J3C`|Yzy;Wyl8xOhR`U_tl<^0lamvxj)q2=MKAMwYHn^W>uQe&6Ft50>cq$H
z8W$g*lb0_~FVwUOU}IxnxDdQNT*g38KQlY4p{_nw?S`H(etv$$8`kkmYmCR`AVD0D
zrRQX~jHDy4>kj4Lw14)io)A4n%?WE$O*>128w<T3SfgPU>U?~ts1i_^IH#X~DlRUb
zo125hr>3f!pMIyNrUur9&1hxAIy{vy7gujbN5|06eQNya>1jH8dI}+T&TH4wl9CM9
zr(4)fSXfzEQ<5$FvNLmYxw*N2^0p5QXm;nBR99Eum6xXy_B@?fS$RM7*Ya{sZtist
z38|nfu=Uoqw}0|pr=|U|G*}cWVPRqMJxxALb<5Gid}*M-<=4oY+>Nms5Baf8SXsKk
zltM;j5yeyy5fR-h;z)i`k#@0J7mQ(ST%3cweP6DwfXgqPhYzPpE#7;=ZCqz!f~CUi
zvAqP3OF!Q&(s6Mx15**k0iV_f3*)w{YdI`oW#x-<Ozi9@^XUoR`}677HdvUMk74rf
zyg0|i!t#*mBKj(9q;^HQZ_XJQ8PQd&#mC3jKB5s3Y{@tHeA#h=n3&kKBYt%EMf%e0
zEGi>2lZlBbPRK*Oa{PLM$+ycb0t<>Yk+O1fsmU`lGkAKzk-O7jiqScN#Xc}lAJlW)
zXX9L$Sy+5dj&`()OiG*r?(082rABG`>Dd{!6ZwVC_jkHK>)klo-|`rlAWgZs@OLg#
z<AprnKh6t1nWXG`Rx-!lNBeQYUPDby419cAlH6WiUdF~V>J|?<urNNpB4+v77WMtp
z;Y#&JJE^`WjT<}STT-$WLUYF`vb(1TYG*=vy6Kb#rtsnF=bbSRMgCNZU#aJ1ZZn#$
z)bngNlH2C{F5Q#x_SzmaWot39v^-$F5I#3QzdTeTcl+_!k`2?p`}*)}w5qA8sr6Dt
z<!y!{#ROp)85u>+Ya1Ke?E)+BqNBMfD=KBu($ZiQyRT}%_iO0yyu_mv-2EEP!gi&i
zlHwPA_jwu05wq1pZ1Xcv!C6>XTwHci<s!ev|9Z?R+E0OA%J_VeS2fD=C**|fxy+p|
zPzpYH9K<g_vGLAkWO(>M=7V+4;$6Sn9n8N=6Mn_*s~Ta>hC9DTSy#*Xrq8%h&Yc(h
zy_?PZ&88QEq;4zxd@N%3;|mNnd3w{AFP>`+q{!yhR;no#-LzZszkkfd37^&hn?g-V
zss0nxYU9V#(?%`LFMs~NLJ#4gBqb%G&Unm(Yuvqimxzd{ySw{51%I*axbQaP?h8C}
zPA)F}CCQM;%R7Q&*3{^VLc^XOagON}H7n~<PT81+K^$}|>(0mh-@gk$nXRcgntBB_
zD^}Pm`g!2%*M)_J_sg%Z8yeMa-CtBUTOZDhFxpsO=XYIAe0@$X@_P93MOi7Sbohyu
zSg4C1KYsM~_Ezj^$0>g+*P(Kl>2G~y$f#y|u#3X=_dwE8nN3@)KUp5F;^F4rh8noD
zGT!m+TTXU%PgmD`SF&GK)j_sa(d)p#;mXI;sdro^&io!Z8g|uf$Ns*Y&bi2ezMR#D
zM1j?5nJ&i7-%kX8yu6b5ci7My?$qC%_qz<CE`JI7GcoI8XP&L!ydX%kj5qq2;opx=
z*N2TizM$9tRo>OsF06%~DiAx-X4GFo&h{sUQlFZ!GB!O5k#M3X$@y>*#aRBSV>MGv
z|5au)6K0}K?&t$zr{1K-MYRQkuYR|1QT5`H9iAc=L?xWb0?zh^BaBX5(;TFcm>KO%
zVK(t}9G3A}?_W52AdIK6k!P0=)fwlrFqAsgA9f9k#G(>a^uHRtEJ-nuDXsirKX0wv
zGr6Ov>&AsVmUAH?PN>66EcC8P+Q%bhJVUpLt)#8aR&%!0;{z_s?oTocgz=E!j(aA2
zgs+kIK=+VTZ}&kdYg~fFy%ROL`K+u3jrSSv>1vV(vbd^Nr8bn^Z>9uYwk++_sJoMP
zF(BE9b+jgl9k;rMRfhklnc+Di*taTm(){Tz(#dV8989fM=P8lbg-TSqCt{qDgfD92
z#7+`(dGmrVy@Q^yvc`;%XWY2Uv0~-q83cb#pmR!&4Uu|cq51aSPG}cm*T*fabpM>_
zVTVxd+uAfo?)DesSL|fD5ozz!8uxJOw|;d<Iow0NELz`FdBK08rJ=@!C`5_;Qo=_>
zb&nY2l;_9AMLoH&k^b*5^1ix8yv{+WhbAyHIYQznQ(bU1-^MY7DiR9Zq+_7d&LY@7
zU&r}V5s6Jb_TeVOzq_lTj(MJaI)>TmhYC|}=1k=M1<Z+ao4ZaFiie7|`-+?v;s`I7
z@%)e2T9N?fbNf1ya&+l-UzoL#=%%ubR7q}!+qnXzSfcZmwX9hwO4n<O#ZqvotJ-`e
z<T(qGp2y>Usa%bSNgi)w5>3Jdj6_;SgRYq>d&HB+!FLJg<;tmz$DdS?SR-2mQE~j4
z?<+s3fMn#<8O~ioi7IdVWPN4*ac4;<r*7YFlob&zI-a<u`?Dxq15@<qwv-!jiU_vF
z5b|Z`yVl*!uaA(k%7?QzT?Pmc$(gRLzz*zs^K~Ebg?1fO;)GeNMk+Nz-98(`FxXh>
z^Gil*Fp9mseNv7%5_4iHd)F-PwCHGsC2L<>6xpwiJh#|WzP(Mm9X)=@yI$*!p;k!T
zLf&!=sWWP|&s0OJSdslIvM98&-kWKL;EzxE-KMPg!0vk$cUK5g_a5@Yqkk{wM(zn=
zi>fdNLcDb%j#AY?wwel#&tCh;tnc`?uGy1oRJpNHIIHFph6Pt9vha4V?sT#+6UHMt
zYI%1SB(eHZy+*%Z(Lha)7~-O`yNGjum2;T$Rzjne4Vl=Rze5s8=ArK1tK&jGKNtG&
zJW|U!yptdpdR6n}l$htwb4V^rU9upzvw5|$R7C$8jk8;u{7kZJ*2y&trCu=yQcrZL
zBd`3^g8vkPzfA*QOpg(p{`TUr<s#mKnay}@4S+{%ToPUZfe%?(_E(zhbi~BO<i5rW
zd%15f4LUnJU%q@9FprS?<~wfdApq{oBmoI7MfB=9_Z#eD3kvLt{O$d43a+9n${RTv
z8XBm9-Aq@S%+1ZUw6&`$E8AmuI@;TFbA}{OztNYFkWh5l%E-!!7I3kVmVW7I2+(9}
zvH#AUI}GyCDM?A){PLdue+y>Fc`;TJQc_a=N=I{m(ls7CW0g*p+GQ_yS{M=@T`{$>
z8SBHNc_xUudNmo?L=b>_`X~unG*Ho88SU!2$;-P7H~h-qe{a%{Dor6S>;3yK9qbf|
zzb)yd=WxM8zpyYuq(Cz^DyqWg<TyvWOkG2xC}tI)q4lV!*h@j>d-sN+Wru}@J%5hv
zYdu`r@Z}4q_QE3k;;CQ}#1oLrl7Ul8Qia2;x~eK83yVk{cb(ur^fR8FljE`VBVAyA
zv})(&#jBN0i=~eyKUG#%hO=m>oQf~LbC&ahr$Aat3MW8r24)pa&2rB@d*rHA(BY2&
z_RFS9YHHSTjWwHd7v0hG7!q`in!3Kbn?O`YM+Z8#Hjf{E_s66C#XLYfNCcbqwm7x~
zt+JU}Mr34UMMVXWliJ$ar%#{O)t&egGDNpsAt1N~l!TCw5Plkf3lC2jmCs=TpaduG
zJCsVN;?dnACHdlMEU*1dl#;G)TzELWjO|{(zK@Sj(9}TS5v-TJ{r&rznlOt%gs$sV
zm*?k)7=OskJ%9eZv%P(HUteE$x4nY{P@fD(p_?~vUTMnFts)VXl*D0Z`1o<M;un@!
zGcF-9F?M}hn^kAxZPrx4uG!gloilrSdXA3{6l1uTCq6zUBO_B&Q`_6y16TvR%HGK-
zCnqPo{Sdwd|L9<EPeMw{)Yw=}Lt}P!wyCkPJx-v%p@E)(VV2MOzQ>(EO*iDc^m=6`
zkg><<2m9m{6wA}on;RV>>FMbJ>0#Kj_3OrZdrLCVSM%to5H&S54bA(Ml$7FPPHyhL
z&!4Xf3hJon02OR(l$4S><ts{^|K?NtMe1jch}DY<0Q9PAYB`z(pMb>b>gwLRcTZ7q
zWw~s;7G`mZ7H%FE65Kz=;|IVWOxt5yzJ2@F-X0VXfP40=#Un4q>(`wf9Dv4j_x9@6
zc^{Qn_Mbg_7QHQPM){qbwt#rLdU*8r_SPikSl{dU)41n-b9Jk5e5ZI}*9b26kB^Lu
zl#P2=0hT#+{z^GurJ2^qqoX5~4%|d5dtEGSHBV1ZB_$;l6%|1K;^NPuqO{<Ns@*nZ
zWo0$-@@lq+fae2j#jGC~*bRDn$M1Yir;ykXVf3lmtANdc^dp^__tHN;J#`8jJ2f@6
zKmz!Yfq_9#P!KQyD<zArBnjB?SDK#t`PssQ!ldr+@4tBQ;_0ai$A=poD<c)j8M`a4
z)^ZW7FdAL`{lUS(Cv(ZcOUui^$gHicN!jib5fUaRCO!g`4LiLyU*6`<zvnfhy?Pa>
z(fLIEI`8P{XjdphKvsc_1q1{DAOoDXFk0pE=+Wx#+7!z3V7UyKi2v)?hw#Y<0JAC_
zOl@sfggmwpMpo9>uU~sklFOeqCx=?Zx(fSPuiABOt6yIPC=Gl`Pj3w9>gMJqjFd@7
zyw}e*GMP6(FgrVykbCJ0alCehQ~b}x-qXPbY}-G1{P;0&3q1SE@^V*qcZ}1xxR%Ro
zmcf7bfA{Tt^J#9|F~Nt8=OWfWo}!u<tOfS4)sOcgczbOPrKGLBI6pr>IZ0E~JUBS`
z_3PRCy^UFI^O(~#%W>0_aeyj8gP{O&-K(LmrmWoc{rkqoMu5M+vZ^YPzc_q&C@q6R
z?1MYDyZigx+9xna0}o<ttJfsM$bhS%bl}mVcqGnua@zk!eCx3Ka#}WB#=Tr%n9T<J
z$1zWx=RDs3keb?1OD4BCRKkM$`Z8CRof@!zd3pJ7ZEc>RY}C)1Z{p$M$+!*{8g~cR
zVm@+oyuxEMg5IgIyl^L9B)>?@$QZ~SKq0p};;|hwdfZqiBHP;9>d_t1di8JTab#p>
zW^Qk9N1;$lwfymui+TS3XPWHr2zq;ZH0yhMitXsF%q1im!gyk<#j!T~+)pLt<ggK)
z9i(s~C5>z(gYn*88Q0g)a5>s{;=WsB^zPhtP_R{~)Fv!J)~ni2sm}9fMH*iHjhXrL
zL2}^b<3qu!2N~eT&6{t$y@)ziw=}j%4awvh3=5XH3B~x&Jr;dnYU;AJpawHPU$sU6
zg_%|9{{62Q_wU~iC2HwzdeajX8#`ij#7_K=b@5nQT5=m4Om+6_i#0pUOiw#*E%ZVm
z{PDxk+IksBj$Uy`dVis`w3PMHe0OS74Hg}Zo8#P%h5*=A)+Lgy41Xbc%G0pp{oztJ
znrDvER`zERP*rTJ-=gKJt);=R)N>U4Z-p4qwTef(A|{5swc6`oyU!y3FzFB0mp;}1
zQ{N~2?OWufcoMgkfVm&hvnPE={e9${h2&foMC4=Z@U!gf?2&qoK=I$byM*ZJ>4je8
z<ab)&^xAhs>JHaiVMCK^FnU#Ve*gZE!}1wySU*3WL0{+^P>IzCBb<ZySAQ=Y3Y{3A
zqu&1hQz4O&8ft1=vFf)^n@f~Ik<wTJ7Rq`Ph;Zn;`1tE_`iw;0z^|c-frdvZ=(-A@
z@x8k{SFfhh<XbcdL;eluabmCC6{~C>DzRi^V}sc!D{~PQ6@@CLtgH-mMNI4yC<)6;
zOBR-v^ilme+NPG4EF=NxccX4O{A>$jQ2aSF6CM!(U5irK)AjgpkA#He&6_vu4?2qZ
z-2e8lDYTMdWwivAE$wa;$Ws^f^~WiN+@VE7ztFF+r@waXnxLTIjT?_XKEdvIxNP;h
z2BuN%gE}@AR{qWdz97QWbB#<i%Uv*c<l~oiHa5bZfy`6+TRMUUJp#@AaBl+ys_B^-
z`Wk6{eE<+gp*v$_LP9kI0|W4^(2P#~zFN(Kb8~IrZl+tpI%4^XK>UIG;%-mQ&K~)c
z6K46Z((MjyFRs)-#yo|0*%9Cu+>A`^=Fal)PIszYhk4+$5YiQ&lY@k!q7B%?JJ6Jc
zJa?5CiQvAWXl;W+22|EEb{zD{n>W|s+oMIMiiU=0JrYWFR8&+zKr7q<d7FcQi3va}
z7Z6nQ^Yh_uU>*1L^?}6E0$X%+)C(k$!lw158-EMgx{BH7yt*q*&~o$iYWSI%7eFln
znaEv%g?3%+@z2M$<MI1;jvgKdY}%#8f^|trNeKxFn>Ai!yg?gKOgA^JxJ@7YzT^mI
z&O7~Kw$q_`=xc?L*nF>lJP?%Pk@A8Ti6!}-CSuQ#9dB4CTp)C56{S6wr+<dueF@J{
z3av=|Z;19ZjlFN!8kXw!C;cV%gk#zxM(am~Qpju7ydpCLHB*H72>}Tk={$xKA|gaB
zmxp<BUA{z`!ng89q(nH;F$eK`j3z~CCGB)pUDF&*GEt{Ecdtw-gov-!%H%mFA`z5u
zAg=sgwvZOddWDTxEVLF{h10T;gmd0?pRZHK7S3X21U{PnCCRWLDMc+%?hH{@3L*Vq
z3QtA(P_}oN1hVku367;vVe2`~dg-egm4n%#BT|*D%tVYx#>L)(j7*ctlsAYfF)lfe
z$`h_&3h|zmT))(x-CUUX%=SnR@rGt`r2?L)9d?~LJuw%;?~-NE_311ZvhBVgpQ~*6
z<wwS~@A~tmXD1TA_yrQ8h=|@|O3SktcKJ^&p_T+3Yg)4SfoL-_W<OB=(9VzSZ{9Lg
z#uaixV!ZdHDqlu1)rE0TMo6biC$;s+)M!z2{y2+h$0)E?y0s^!m60I$+Z~uB85jLg
zJw5Aw*-6nN8$}M3s7nK_?<Dd@*|8F{K2d!=qY#JedV5DmxM0=bOzd)bYvd2Tc2d<U
zj(pDTo2*f&`8L(^!x=5dhO{E2F>t<-C$W&kH-g{iMTgxy?L!tMMTGhG5yM5%IL(W`
zp}xU|9eG#+wu71H6N^=ldhw^Wmk!QF^sc7w2l{!^UtKyEV~s4ZU!LhbR5vBoK=Qk7
z_lfDYZ?iDZx>Q9IB(T+GpY`<*%CA+pm~vez%_7dI_?hkn)JR93*ijJn>TKoBTe7HK
zI@XJ#78W!Cvh6A+!?!e$BK0p{bH!hfa3l4W=hKjO`VFaRPfz~KapZBus+y`98NU19
zDSa35EfIJALzQhAqXb!GJ}NczEb1JU$!CngL1X0gYffO}u6DD(Hk{6vVuZx&eoZ=G
zx{rKa6uG*TAtPM6a=@2#d|FmoSZnld338>P-scy;(~l0qS(_KgtJV*xa%!p@=@}*O
zaeO`aj9D#Aldva_N(xw+J(`Z)Sp2Yag&8sMy{5SXWVdHa$SaUvDMa~m4@~6{Z0y6X
z6@&B(nYhtjE|^Ha?W)hsx_z_LzG3}ETAW7)OqX?;=?C85%o}eBz0)Y2n~}XMRTQha
zx!Z6KxgUKfwfnt5$jE9*AV#4GsiH2jMokQS!xvSN6%J5WUG=$~-ByB{>(}sRNxr0#
zPEy4$b37;5e9~b#fOoy$YSF@C?~aL0%9+H(lu!wF{T8vK86w|tZ7<D<`?9DMg<#53
zcQeOZP4U$XHF^=J>xWbc>udZD&0E^{OxVMpHD^X|*_PNm|0Gcdf3o95c5_ehzWU#U
zGuZFq=l^n(-#ioZZ@om<f@$PmHBph4KE0z4od@_Th`0w6PcMLgxFuc^6%*rdW#@Gm
z-NC^D{N?ax7z4$NCrX`_CqwQ}PrKdz53Rjy_yHG4d)5Q_?*T|d3$b1#xhQtpTwXpn
z>F)2^Gu;5CHa0dEfq&fA)^>ETV>?<|Qd#K^xEJX1U*ahJ-DYIIpPQxB?Nd~<bk*&@
z65yVRwKbcYMGgG!tCFwh`f`RpJ;z;KSWwT^kwO2H`5XUtq8B3h?1}oZRCDX&e@!`1
zlzQ%a`USKplby{vFVUZ?3q&b8Gcyx9IKcFTgmEAg(b-1ekXcz(uhbsou617!ISj#z
zAtfaIZsqaCaP0{;uBLTsB)e_PHR)i#$anANrlua+*yLtsTNxPKgl-Gyic^c3hUQ~O
zM;>rLfW?60px;760e9>ei1+<M6&Rt}e|LUfT1zVmTb%X{-A!8BPfbnfX=yJcs03Z{
z2?z)%DQn@;8@bw|xzG%HsK~UViONUNaZU-^WJ}V!ckjRuBB?(`<$1$?T6&NT9wqAL
zLrG1|cTb*t`uQzpwk>KyoV*ZR0Q2u@!2F8L+}-z~mHGhahne8f+=9ou;dAU+usa^<
z@%{J34gmkh7k`*lp)U6`G$|BG0)IgbepOz(UF`e!G;$T5d$$&Av^6!K`S}4lASEJN
z8ZPVj@&ydCbRdIv^diT*520s+Mgm|$MNhAt0E{Nnws$ln0RVf;+_x+SzX7r!7jk!m
zn=LG~7Z?8$wmnu<SZLB7I|#D?{1TcXtecP!{5y9(!vp~zhbF2Kx&a6YmxL8RpaH=6
zA&3fqX?EwjlHb043*+knpc|lqchVMtnDl}8Urm@ly1BV|u|E%Uu0Jm!E$y1zA&@DU
z8b?P*Fi7d=I~CsDFqo)+4BMc!rNvw)I4GzcaGKvaGJBBBLGQ5wWu29z<K4}x3=C4b
zx<ah1cY&Bma@gD3O9oSVt^JUI<_qi%1ocfB9y$>bz!dvEnfK5D*|_mF8O%OhAUXh}
zJ9FWJ>AX}hCHPGsfxHe1>g(z<@Yk($1pJGOH`PyhCX-yO`8&wgf3PH0jHJ!R&u<(i
zZ4a2JJXcY;fD$L*ff2MLf>V|Z#3PbbYrUL5E-nt7G30RbyCT@92cU9*af?CC%Ucc`
z^VVeta2a6i^s8OFz)Jk$PpH`CVXB_3Ni$!=0c_96W&OexUM1is1OVAlAXmtG=Tn1(
z;`ev|pxIDh;Dz+W#0M4@{IF=Y1rMuMYQYLnjhF@AxHPl6HZ`jtN%}7f(8QB#04wR%
z0w_{Ui{2-I#kApXzC7ce-#a=KCEtAcB5rCr3p>Vfd1woM13-4KO8F_?cHnJxc)6LG
z6^|w{<P7rWA|oQeKixo6s51WFn`e;tx4v^8h)BcWARjfgXysx|bo5sY`7!RY{Cp)1
z4WG?9<uGDqMn=Ht+u%$lCL*G+B*9ddBExgtU7Z9=MNUqRf`Z~?cj^Kr=F>*ETO1tZ
zdF^mlAWiT$w6$e}MYg@YjaQ0Z6kp#m0n|p*0QS1W?hhL5aO*U8Ubwot&MhvsngKCs
zzW7%{q#XzU)@}xTBaK|08h0)>ww#od>4AcWcs4qb;o&GHfbFVQ`^SO6AYQ9oA|sQb
ztlrt&1VkC}rXnlrRiG;r0l4~%;s=XNU99Q&`7592gr>kS$P)PM%|xPWL1QD1sJ;Dq
zUye4=?5{88EN?_ontO0wsMY}qVsWH`!=u|2m<+q?GFW*((6(p!;Fn0$zv>@TQsM;I
z)E(GZveX3_i1$hZycZVN)Ya4qTpGw93LQ3`Id=}6BBM$9819CKh8CL+_*iEA(+cr|
zd=@>7gIulK<$f4+PO{?(8mg)~<&P#|<AD}KK|ruxcX9;fAf>d_85SMvi-=zfgktf{
zU}ehMrWF(Zhu^cav(b$Kd}nUGeNd{JoWfC8peVpbM1Ho%S=!pN6Ziwqp-XP!LeD^z
z^RkMns-V+CPxG6r<Sy~xO}f}!9UB|ND@;vK=NVixdAKB3`T?b_Jxs=7Vl`a43@aXH
z0qYUm2WS#xc-Ni@wuATx;;fOG*}w!IY4^2%{cH`)zIRi+2vDQINJ`#E6L#1jm!v5s
zTqg;jxN?QtYM|c4u?|>^z)JO1k3d`S(xFIz%L-oM^5kUKwBW`!f`A6U^AzqnPoIlT
z`l2w6h)7Rkf$jkO7y-1tMubN_O|Nn99tTJ+P#fS^NJ>bg=EU6jM;r)%Up#VgIkk$G
zSX@^{-IdkV`yd3eSN;T)VxS~YwXzq-AW_o$K?C#U%a^dK{FcHMqB)sBd1E93<8?dp
zVD<Lx+jzgWLI3e;jbK9>gQ?h~){mfk(!R;CTdS@X+<t_@Gw!eL6j-%4gcZ=z((>!q
zFJWO}>roPnzsO;lehpNVGtWQ4)vxElMoXIn_XatZTerF!8d9^evRXclfmDi~0tB)h
zke?8c)5(AE5oQL3g@pxtPi|Y5;qJTo{Z-g^<iI>Zye2HsQdDGzFb70IK<k7ci<_Gp
z#9KbZ#Ar)MJdcjPe8BX0u-H5-Fz{O_y<8BLNPKv>8g$60C^y)%lb`(p#A#uv?(TVt
zy|e-bv<v$Yf&tzTSc#Y>^%sBt{yh+Pa6O^zf~W=}>+$h1h(2bw9Hgb2p=`?Ey$cbR
zt*x!mkr8w<0Ti;nv7qzM)870R<=vQ|5SaorfYAVr4#;yv3bZjvaq+e&j`WYiKY^#~
z6`Ni3g?`i?FQgsXZl@zHEuA3j1-$^xoVS;>;Hk(KDMY*vVZ=eFcbxq69B%w%Z#E%x
z_~*A<+}wJlR)f$TqyjI~$K_^aRYH>orYy~nmYSLaR{OVTE<9#s6_x$9CMtT4j*DXV
zLD}z!7plt2vVf`rV#&9kit_SX>+2v$hNgg|3YiN?URVzmXQrh|x}SXw>7VMgM)K|`
z(7zu3zFeRp?XDU?FYOzRJ^%D?@S>Xantb%zKPbk~FexPkf;7UgyFf^NO~#RSyB!)Y
z)4eqK1T9TXbYsDbxJ*X&{MoZdS9Ur?PFQs-iwC!YfQgRRdcnP{t*ya2dj9-5o9)IQ
z>dxV|ZUibXj0gt@2Pg^vop|QD(aEMNmz8*+t1Nldz_^p3--Fwbu9&bh?jyp-H`w1_
zHe*Tm41sB-0*nd5Cu9jmtbQIIdTMC&r=-w57QF$|DTitM^v|Crrlw5|4WO}V-M=qu
zdj0>aNGw#w7G~@CNB<DN4l2E{L|rjpCHbHxu*<JgfSeBXG3&LvWZ>oAUGi<n)xd%q
zFhYYkD3d}458a@tPfku2Zd|%_3B(p-s8EV!XV;UUgLmgbR*F@t5UU<+1|t!}&#d>0
z8QIt%zqPu$3TsEU8#F@nG&#<z%nz^pr}ToZ8XFjhC)WcCH>5}sZ$Etj_2iGrD=We%
zPWLY$0PcoQ&B3oK7+R<dkP0#9cJTHVKF~r-!Vu0m^InPZ4A?;+CKHN2c#xQ~bA1v<
za(?~{+RxV-8h@<(=h4w9!xmN-)UEFRess-{TTkG%dlD$vA8Psp@DXgkGZTS4V`jIW
z78P;$29UCsR)1s<-#%D+<@VJD`C@nYIu2+5K0<d-Jl{ZtPtKbke=YDF!gzfacM*U@
zRYH^DD`6YtOaHySREw`mKF<%_5V{U;CL<Dzkh?a`PCQ|`Uot!e5Y1y#41(tx*?Txf
zBq;pZUd14ls~Cw|pF50IJQ&D*liZI!GwdHS<~c>3L=j4S6qiyV5nX%EiByiBOOdm?
zR_VD>8I6G-sg|Enxap1XT5}=$TU7zej0Hv~J*RjDSP*_}Y)^N0He`AYbKudDJ4PqV
z%nm{nj)*?B6&=l;s;`s68nQTHY8}$5t0Fq7z^xZu&sMeL^R?OX$Xj?si_5rm1KT(H
zzHp4vMPFsFw-guG=B-G$9?ah>6HRmRyn-B(MSe{ZQTTDHb!#`vzwLw6_|Hi1_vatH
zmC_&?b(!NwIPS5Ld~@AR(0X+CEK5o<%i$8jI@BiO%zJVqi^MEM29bZqs~^VP(|xaP
z7ok5DiR61o=#!|av0~jg{?5XBxkU0p{X4~VV_Vh@b;VkuTec`h9;!w|3pFOs$|M3`
zL$mw=v+u2l($-7;EUWVq%__q8)7`P_izzD(Rk(DKj1NDPXXp_V=cygh5@#3W)s>TH
z({Fq^k=|>PhZYsg$l2KGy_S>Lf<5o%KPUM5h+JgM!#Ec5*xRV^W@-`^UJ}Im!b6EM
z(EHrSm<5E7l%R>Ami`5eTT+skZR<V}L9aM=kH(*SU9x1`-AsY|I2k0;ueeaJW1o{@
z`{;8{Z$B2b!eoaj`0SE$COI#|3siBA-+HT_<eEESBaE5rUDXN56|IqZ5xK<$7v9!1
z&66-Uw=+nFnV=S?-c-k<IW6Q-8HYhZLn;oEjkgzI@afwX#D_xe&2@4P;dtyP-QQ5v
z9Iy5F6?VjsPC4VQJ#DpAIWNv1G`OywI;e@}T~6=Yai{AAo-PK<?a?EYt$R7zKV8pe
z)O|%!j=z)c-y3bmnxFf~E{}5c{+gG8_O&0|t~2<S64W({*qC8n8jY(XQtdZKHD}E=
zBo%2~344qEsN^1vZ!cAOB6jT%$+*#e!<V}x18d$CNO17pW^f}${rlEKNw=*Q%=|oW
zz2!w7`&5>_xesC8T~`y-FzU7Ux3u4%pO|Aio;LOPSrx3SRs4}-@PtnIZP4Y#RjDjn
z9xsG6tf&ja(j=<DH&=|w*FH#5!^07ye(u-ddDagzC+gk>W%%`NlZVEuwY^3?E6XN(
zHNB@q+pLZQPMPYRs=xZOuGh}B<RX&Vy)Q!8R7~xZxw-qJ&{1tE3GYE0gGS2t$k#0x
z_y-AIuj#jDxm9~mtmP?d<C`Ye!$Cu=Jd2BqiGhK5ZuM$F;E;_eH1v~x(>~g|_=!#n
zicSr$bg!?k8?kytm5l$()ucR3iW(mNkeHabv}6VK8n9S#zO>94ABPVugN)>i%s*@m
zoPUi#7;N6<r$6Tq`){TLe;^Zps1U=45BY*DZ`}dcM!Oggs-o~7mTv^fNytNUbI8x-
zF70!1?#{jr4GW_;=(gYd^QkX&3<)b_?ty^;>7f3+aUjKy7W;BYJ6~+fcKAR#3=9P>
zPEMk;&jEO0;+#8u?p#}Qvuk5C)O1FY0C23eQ{$e6%u3yoJA_PE^fy*F`}i??AO3$}
zmHG>~?{;hOJwSq;(7wR^7Jm3V!E+sa82}ve*O$lZPC$*;$hq$X*+cLdL1+dRySuv!
z`u(S|vD!iZaj>eC9zA;W;~``k5!dCCeoaSk60@6ujSTW`h@2c2WoMxf8yg$e4PY$^
zv(Ap1o2P})%FX}PfA9Dm8EEhA-QvsPVPnJd1tJ(3*$?m&f?{YTftYv;lB3`N?C<VE
zr>Z{QU+gen7O(9RSX~Z>u-z2N87vG0Fe;#>?)f-=r)XiXefV@V)qr4Tk=sOyzc{Tr
ziEn)T7{G#3>tPZ|IheG)1149r_6m?zVNns}vf}Nu`RV@SK)=0w@Fg_z(Bk){n}z^I
z^?i=Gd|~{7841^Iq1iHckYIu70I&x}3M~lymL9;FkSh(E5~u9~xnsnW?HT@Fne*~}
zU?~Nf00k)U@$sps^i@?=K|BZv$p<+>K%fdTpfW$57W)Q=hF&%N0Myb3lo3z}089{f
zKpKJYaJ-05?epgnMn*>DHVPh+|H%WszP^x89;x#Yxqdyjuuug+`Q9x>G^&wL^YHKp
z2De~!^7EN9XCNeigM%Y)a`l<xCD;!I1qC1w$SEkm$iWryMoU8j(rV5y{oq~?0?`1q
zg?tu3ythqY_&>1mzXb*w2*7^k3tH^`K<W$RlZuMU!NCFY2DrEZQ5>dY6%JCBFTjur
znt~)LF7?%`cic0oaTGha&Fg(ptkhZpG${{@N=p^)-W>s80_YpEc+bS%1MBz`WM~Ov
zAis-i`rE-EB_o3Xuq}G;0lHx%0x$<|wk4plI{TTg;BXIF+!^BgJB8gSnP2+;;z>9G
z;H_`~xLjDUAdy#89EZmO-Ki9q(3`7Lh2mgIlar%U#YsuDk434EZe^vW8W&lzGcrDS
zY%=?nmYqRCdK7;zEHaWo;OQT$BOyUw&f+)GFIvOh2*idl#lb11TQe5@HzkQ6o}ngq
z+kv$43$d_R!X^QeHSiUBwS8@AfvLF3$(fyz@s8JyHU{Hzy=7jFGYmGL!%yS}H+SvT
z8Q4&T8f*mq0|y_})zyQ^KSEZc`QG2?pR^Pq8JQb6qX;m~?>#+l_1-2V*qWKS0(OEB
zJqRG=moBxvyEz5R6F%^daO1XJ0%T_gm?UOCq*6@t0%22P{Uy}=r?~@1Kym|->!XVB
z?!?o^LC{vZCR(<Ek`=}*L)HKsUH1s?SP`H2qq7s!)0~haHqCs6FD8w-x&GURed!4k
zZ+Yuz)MXqtp~X}2?J@JIHbMr4!(UY^K>V)jl;1G?@-p4B1uTCEfdB^ss|fhnGqK6<
zy?6M9qff<$q>G`IQ9y_Pqm3lC1XV(Y;i=yO87yWJX?c0C$}JNkqw=aMNQ3~(fshV3
zaDuu*P-ZCq(|fF&f+!Re6cEUYa&mH_rGSzBzRu2&IKBJ#_lc~V+uJFj5<-*!ENPh5
zD-;w7Nd)lGg@1vicr8SliUvouf54E+r-AZOAR4waYYa}egNsX@+eR7)e?~?r;If7F
zi9(Ks{y!Eh10<1+&3Z)6G`SBmB!0by9(3xF(NT1+NNf^D^u-0LG3I4DiYqmkip}@l
zE6@ENKs{Q+g7Oys5fHKvQAVQkmu`rLW~8KGiP8}W<(7iw3?cR3+yNiz7x3}fP9wNq
z!N2Q$-TutkvzIwcK#~ihn}HsuU2288;eF^j?+DQ!1nLOvnXg~J;w^x}f|f4D#4wud
z&~Yb0w{=`|VHyg*Wi`9u?15x!b-8$ozY9Z;7U~4hS3u}mWj1j|MGmlE933~4Bm!V%
zp^f7_J+`>0z(5Vie_8Zq`T8Q<9)eAF7>^Ud1BJr@P)JZWKv@QH9t4)$wFRJy*N*}q
z^dDmSS11pOd|6PiR%qM`sV#ocX67B$)Oul!IL~)W@Y{i~`4k6_A0&q?a7ZDDMga1l
z2dItEw?Q(ENwtDH2VauU{RKr1l3`xwhi^~EhEzgW4DYW$JUw&EZG9T(*4=o)!JZyf
z8JQMP^ZWaE)@NGrDmM|{pn#yD<K3xXkF5nbC@^*{2OLP++ag}z27od~uaCaQ(^(eh
z<}OiEj)lfTYy9n1n#ezO1SV8a9;i1?|12bu_<xPtBLDrLYE4cE<0?M?%UjW&roFGn
zkI2aXF)_CerI5CgZcWbl_cwiiNzSmk)8E1NtvNHkyTH$dT>hj(l0#&UDv#1?O1f_$
zhFlw>B~eqEU}4JZ#ZIhWo3}u_m5XmvSqhXCA9NiulOwNm!Z%e)^^hUic|_c>HXB16
zd4}OF(a>uGwkC%IzDy)@F8Ay(QyYeo&cnu}ede;%e%G>QN>O!X?0^OHW7F&E4$Gc0
z9}puFT*T^JU0afz7X^xuX<b14+%ZE()u3^A_$C)SW{9pyeG<;XbHtu%e%&K6`)vJ#
z&)+?5h@Frq;`7}xo(z$B6?x_)zFGU*`LcI83pI;V8ZY@q4bgj>_N@*6B6UF}W`0^p
z=$1txTl;uwsu>s|8rP<G;-m3JP4S4EH)mG*5zQEjLbJe^BBreTnW$#wpF6V^a#2X`
z_=MtnG;`^BxhtfuqW8Vr#90qj?o@ZWK2Bhd)xsnVPc)<XgkN1*8S_E+Vkzs_pu}n3
z?cxd3zCrH^X2kY_z`WJa)(8Bv#~a!)rtE}dF^6)8UL;EQ2#_0n%ErnMt%Vb5vr!?@
z8m&oLvKYwx-b{D+6~4Hy7$@ZYcib=JFZ0_^q5^7<D%pHP&w9^C#qc4oo%V>e<}xum
zRfuJ6i3HvtcikGq8r6|Y1-!D(FHG2CL|)pKilXXG$2Uw@4(IbA|1VU*!}Ju}J$g}e
zA*0|9`yhjEV7QV`rL1)OF!=?l0^f(T_K4}qx<I<VDUI)sv%(2A@!9X+pTA~WSf8eU
zjOt8}ycpmO8B|Fo#LgTWQMck}iOb0PB;ui_ti@90`p_ipFukNy9c!XLSjTu)-)9;J
z*T^&y#h53erblIVhPv*p2wCAe<?V$#DH)8&1a~<{z?cFX)+1rzIElb>y~-!IF;^9T
z+?nS(k2XK=FUTS`<7^MQqKEjABM<T-Gaf=V<mQ>fC@U}qGZl5Za|C5BA|M1KjRM*Q
zbG@6ii2LQkf`CH-Y+pAo53mqf-jzgg`vzzfF2v-ZMCI=JOAMxe{`jh{KE5KHMR)eJ
zz-P&Wb$y?)uLh5&NI8&mS>uci`?wNlx|H6r8i{f63#YrGYRK_PPnW5{*XrYQ*%`Um
z`A(!hUV3CVF4aHvJmwVk{w3`DIB(S_eLzC;M~}qu)$gAbs6@S$=>xV)x-eHq6^>Wt
zS&r_~I87Yu@JKc`%I0FK$2lS8=O*&V`+rR*9~=4h7&FY9Q2OR>2}D@8zt4#2{!m()
zA)=YYkMu9(9a28cQ95A?GwNIX((lP$g716(2wVQ19GR%K{857cepp3t4UKQ;y2bnp
zUAf7QJI<Hogg<4!RWq$Eapz}7wkayxla}heAUgf}Xd~tD=!nO9s0SP}I0mGi9TAeQ
z6q#S>#G?A>Fx!d6^QQQC@i%vD++mad<%9tgk^hX+>C}9?DaiuOyJh1tRn$bq>muDl
zfNH@|(ev6;1496u1_%La=zBSV#iXUB#a>STe-zgBZr}b0BG$_M{9vjaDP;9PpaInl
zqK|DcJnW$4mu~y(N4cE^33m*PE-(}!dIpV!FKCMQI)o{|1pq=gF6s~_=XV563{)JD
zf+%i001f8>9N`Gt11Y-vr>mP=iBSSRZF&%;kcF*nongZ((Cmnai2<*{1%J=hspuXX
zI|e*xJz5`08YuSXfKd~;pS8O`0)WAx?S%B%-v>k*o0@C~3mZm8JonaTpvrrCe*?4v
z&u{4`vA?r&0$Lwu1|3ME!oqNDuMT}EY0Puu8$(ve{7}i_y|=XD*8x+%rV^=zV5)?K
zF+_wwLThYnyg(&90#qqYJ_eM;>YAE7-6|7<t~OW6X}7;n>?In;MBgy@1i@OAsD#AK
zH=c3O+BE^p!SO~A;BCgL$tWni;J_S!9dwST!g+!oa*1FLLf+}2q2bV-HxNHXz)c3_
z7nogVf4|S_#BEj89zdz;_wO%&Mf>2vD)?b?q<|Ztd0Q5ig7hdZA%S`ab}4R*?8}io
zc%%WT2f!HNsMkY(fQ*prfnN#E8zef10rEn79V(7u|DW?ja2hFiYYdhK$hX#p>j^Df
zfJ%O?tR#en5?s3E3T=0Gh=7Z$1bQpvFAHMq!B@5{wLCI>1!=XO@$vC*-{kr20C57s
zixqS$l&0H<20Ar0l^V&<%gd>y28lw*H=;II#_Kfl^a}gsqG?iWqz|0tyXg^7TWxE$
z)SpUxPgmU8*#YGnc&u4K+Qq*OTU;2jmp{O8!MO3D-WSa)Z?EWnYHYm5%4!8e+fi~8
zegomPyRJ!67W#MJz&&!!)o_550{tI51THv*7n+66rh#36Kq{Ke7NN11($XS>Os|rX
z*?>0DX{;+vs2ewKnCU3d5j=nK!rjdcq5~f?GQbcMfH3*N0mz6+Ep3o;hqI*IH*cc7
zjQ)NX2ZsX?wk<89-_=D)|8*P0uS4iL0vo91HKMb|rt!CoWuFrL$xz2l|NqHQn_1e*
z4qv+Q0KqMOq`D05F?yr|U9Qnk$Uxi-1)Nb_N{UC5h>WZSr{M~pz0p$%poU<ECx9gc
zW)a7&Td*G2A-xtF3SXICSQvW1_zi?wn1%6<4%oo_EG!=?EBQr4M1bi18mR!i8K$?x
z;b5BlpSh-}r8Njt7yAL6lLQ#%9g&rkoE#S$>wUa83yT;qB)HYE10nBE0{#&(aYa?t
zDJ(2HIy(6J+lUC*IPR{lV6K;SI~S)ud4fUG+1qQ)?O<bbeX;E|g@8JwruRx;hj4R2
z3YS}G7%U5z{dW-&AWMfwNAJTHYKs>luLrUY+BLl{+K}$;<zixzp~i<Qv;tNJ5Lt-O
zf}jCb5&GaFWZeS55eW?qb#!v-&(rsT19VTGJOOl@r(LF?t9t~=3s@b1UD@r!W={Wm
z(he{v2PxP<<1x)-;NjVUEcdUmngfXBfso^}w{8q`h=65s3^olcJ8~emkhp>ioSusp
zAyx<H2Y~-q!{@3GhLqA0_(OOZr3r>lObkzq5BM-kEqd<WwN9OatIP0!eURC`a^(uB
zQsW*gzzbPm@GLDCA;y4?<pE$fP)wGF<Cn_!?_X}R18p8eDoReX5Lm$P-%o<W2s>c|
z9A`%6V}XT_;4neR8&ne5bRzq6SAiYDb_VlMB7g)q5hEjGEby?Eu^M*An3+?7l(*55
z7Fr*bd-t^Jp|)x*fN|yq%Gk;Afi0Bq2!bnDV&A+$18#KXp(B9&pNFe!z63hF$i+n=
z==umOWFw<#n6CumUh73DrFAYVl)le#NlWQO77M@%<|<#4mi9BUwDf@A0&MmWT%+!J
zPy@i;fO^=Sw>&*N>-XYClDBJfV~Gsf?J&7xkA;IXG%&!~JpWtacY_}V4F!mQ*$)z@
zOaCm6V`<70$Qqd2o7-OvCeK=iNJ+%z7#U0n0w;x`Uc-syDG==7vwQ=auBW#rh}0Ri
z5Fo$-VQj6rePFCqR0t6Gfq8QOXO61i`sJ6D2mvuLP4IGF`_XW)vjQh9*|iF%!S707
z=~L1Fmj!?$tl+%?^P`V~6m-}6?7jc9vGDbUqo5;-7Oe-)n>nwH9gTUca7pV_*c(Ip
zdnyj`*KH@Q`>-su5?iXi{TI8oN^Pt)17Z&C0(Nir_wTrnEO$N>=^6JvB_yJ#cOF*8
z9t50#%0hS4^Eq;gFf%ZioSWMnvdjyl6xv7MTqJws>*Od9I59vJuq<8wPv0DPec^wO
zw<f@i7l=Z*yr>6y&!=n8L&2$U#DG5n1M*X0Id&9|m4?1~Gx_TmSeKwY5fc(#t-}2X
z?mp}ca#1+85N}s4O8c=(dvQ5jlU1+8g4h=bvYh)0K{D)CpwuAaKp`xJGrG=OA+KM)
z&&(XOItrCjhYe(Glq{u7>9>vhTM;}o=qSJ}_dar;N(GnGij^OMS_TJ7f<H)Yml>gh
z+jeq8gSkegrWeS$mtaSNhyd9G;J0i{aHkE|N|J_Grj0|O0K9pF%5)<khss$G9}jFB
z!VrVDo*)WZDT6{#<iKxcW|j|$gF?Ey_k+g%9IbdG0>sj=W)Z}LQkwwJ=KmM5m&3(H
zA80^8pg^Bp7bKUKuA+7;|7j=EEz?bZVP#-wsIVTbw&v)s58&3!96SD%0BC(casa}Q
zg43n@5Tvjkjor>oOst19Cy<?HB>Dw)2mD|*)^`aBRB$%t0Yn|Z?(HZFd{&Gb+HXP0
zqcj7%3V|5Q<x7|H-@d=&S6Dzdkf&P+g|DCu%9?Escb)3LPm2_Wz!J$jE=v+}jA+ix
z^6~*V%JREhLV5)J&D<Gdm*pXVfp}1hdYMk&-=i|8N9X1ac240F5;`32uHncfCnswq
zRaI3@6UU&}hzvbiKZWoEckVqp0+~-B13-oc0qNl~FkmBcVE=R+#-TX>-2)t(G5r>e
zJpq-Ll9Do*oJ4Q`!-iZ2M9Vhkx&XLbX|f)#J(4kvFmWNmJ9o}(-(`LM^x3l*5O(1K
zF&5NzNMJ#G0fP?Q<et`6Twf(dol>hP$2R~pVJ2TS7{bX8&^kephHZcrj-EXOfp&Os
zu(z*I_7+t7_P#!KRuV<<GC^=-P>gSDZDnC&gNP9%r&l4q&Bn?K1zLYqy%qOwFkf8H
z8iEb5-_fS-xX;NbOlR4cyX8Q>0e~oQ*I}W-F=$>mMkOwe)yhhyeau(kv>0LJybr*z
z5WS+N1FB$FDk}B@SXJOzK=c3zioD}<FoDQC`kYev3^bE|C|$Afv9X5$Mv>LEHS-oL
zhm@l#KrS%RKc=SGb;?8Dy=%Tk2Zv>Boy9)`<^brp2R9AM4akdt=U|h74C6+V<J|>s
zSs=f1r5bcR=*Gk>pw$(Kxo1{ZqT_MoOE>=yne+@eO!0r#c5T9~=Ux9zV;-an0QFXb
zl!M0D;o;zxOPjDpnwXpKK`j?q@vBE$*}L;vfFNXCL58t%&mvV%sjfZ*U~Mu9Q6-UI
zal`Ot4N#p+?J86BZ+CRKoCEp+XjD;o^)vK3kZ|d`00Kk)1K<Tb8~5CZ^CfsXNJ$P9
z8p~N(S;@+Ng#myw-M~OV_!fp!HJ~RqN`NX4r`deqPz@wS=&oHOAtC}N;vJmlD=!Ca
zr{d#V5)%^>zy+YiLzjhCsRQ*NehH+EmX?-aOG2ch6GVN|k{tUNf1_dcci}x2K#Ra>
zK}RT|n&s(Kg#JGJkow_+rMWrZqlx;P@VbmkH^pv0){FJL1q}xze~gKViB2Fwr8WwF
z-_vY!;LRuirC=>K!l}WSJ!p@nH7;<RB{7j2nljX59Bk}35g%^|LBQHV^OR$G8%!9N
zZV~O`XRxHvDf$Z*w;o-Yg>yo{z^vNqe_s)Fwdej#5G1WOF@9h7^^8Eh2UFk5{-TG_
zmK`?Lj?Kco>Z1MX04R2XTb^4$T7c>)YD5$(Lg@sJ4BqEp$P-d#J=|w?sx~pvw`OU1
zZq9XS0G(t(;GST4kpWkOU=~Ay=PmPYI>7Lxo!(-iPX~T0VQ`=n=MV5UTVGpgI)jJD
zcKtd|K9ul24^xO)0M5sw=HYPxKR#zn^?$@zu;QM9frSEX+Zj%P<(u_nC|fOkzQ&+%
zb(+t-F1XVrK>xgGtX6YU`{*}h!ksVR{BO7Q>qF&saSi^WQYEB*Ks+*!MG8yQGoj-g
z&B<3h?Y6Db>F)upsgbYpMouYdjK?d0i(js>q@~KjL5P?pGK`w6eZEpFl<gKJ!J2hn
z=e+OY$CDw3>mMd?M>;SQwdy1@m@qp_Z)68spzuY?I}AqyucPL2bx&IL!O!hc@6Xf0
zMBb`uetG7B^}sKWzb=280MXo>Ox`nJ@{yalCAvV7BDH`xS~BltNK^U7s~nARL=z)Q
zZS2HN=@>V-Wu}vPZXuTnKVwn9C-SZ278$Z;C=EOeDd^-bMtoV1T{F!WHij7$uzZ=1
zUFhv@b0Z4<zU=A@7!Oq7VeXeY-J`y@)Z&2{QWbGJ?y<1uZ<OiGZ%%F-BiFFU-YAUJ
zJn=cnQAyeI+5RPP{Z;Y_=C0}EWEN_*SBaX*HzhBIXPA9C#Ug=Ee+l=d@<w9UwCTr0
z@rD6{1VLuy<kOOG%{WOoA2eNmLi<V=OEvnDbeQ+ZO0d>1zTl}8Cb8NT(mW$mXA@_W
z6`Puh(J0hv>tjDw-u@g8WTo|xCG|ZGlJ9w0L_*dgp4oRyvR|{)?hcvnxKF<E#}*MC
z1M&lPN9>6LI`!MyL3v#nLslQC2WPqS)X24%)U*$WF;i&~6G?uxk77tom8zHCt92Bw
zeDBYv#HOf3`Cf8GHHvx$HLA;RQ!#w6og`_VpSvKc%a?%dB%6yg-&^_ogeu|???I!?
zajeI-_ve-IrjwQD(=U<4_n651p*bmOIBJ5Ep7=YQ5GPo_{rD_WUHMrowiM1#vIwks
za9mKQn6|_we#9a0jf#Z>Q#3NmRiT3j;mi`|4bMW9jtiL?F?{X4^PZEPY`?fcSf8PO
zSn*YZ3@6drTvaWTgQ#b^GqYdsyY`u=vjlPiKHBY{6B_7=d#_qDaRvI=rOPj6^3pr3
zJ0>}HnsfS)_zZj9<3Ap-@IsPFYYab5eNaX5?vMR^I$nnn!f%0vYw^Jd)u}Y8xI4g$
z3`~l=#IA|dop8ue#hGw@CNf#ev5&ema*V<a(s}zKafl*k7;%kl)-O6fH+LG5e)#d^
zVE!gN7B5M0)IJKKUp>{W?EZyYPrVdlqSsG9x++BlOH|k2XSr1026v)$hDURCH8>54
zCEf7b?H}qoo3-<O`%>x0T=Kg3X~pL&X2&zR_)eJlj;vIhI@+fnEV>+S?WswSBi7i5
z5}9IJr1haShemZgKe~}}zO|Eq!RS%s!SJh-Q$5R1`;c3$gJ&KW49O$U!#!I*SFLG;
zuX*pJu(0A+JD1h_2qLUZJnEg2{`#aoU%6|K*Uljw7Z0^F4)7_En%9JyN;0bT+|RHn
zP@5$`Pn?dGW-)xPHtlvtxV=PPZ+Ydo6NGBS-sG{yuFt&SQxkW*9~1Sa8t>Tqlm6T>
z`IUgIog0YM_$}2MaujbP;yaFY?7mnqE$o}4AGzM3_6oVe`^oRHCad-Wem5;wSokpd
zd@1M(s9qP4Q+5{nSHLJ^#iLol`A@OOM`!k+sUy&FX0AP00}u)4dsm80rm0^4Z5zO)
zSOj8xj++NGkMG<Gbp@@92SpS3?-U(;d$E_r+bR+a;}NXOmk(DP0kXKLGOPzn{q?wh
zGV}Ahw}jF|N*A;-jK`viiXDJ|fv0nEsoCs9!vg;h_=<pl0B}WsF;I@dW4;^93t{`D
zv}8d*B|sa1-joy-eedj?;0>B8AJCN8D7^vw?lO-J9CVKY3<J;M=hp;c47pH%xPig@
z)KvNpW1t;fK4OH11w07e5B00_{Zl~Jz&{{Bnv=5(2eD{rX_=X)J8r1-_h(QppFMMC
zQV*SvPfq?0y%}P}w?Ga|3x#|IZx9EZxeVG|Tbty~g=~09ww@3Z6VLj%HnrB%kg4)A
zWnr4F)nkRf2fB#h976{*u9Syxa2!|&TtFN0fis*Tyw+^Q2X6!_Hveu!3mOJo+rLH^
zr>BWXNYdaHK=(|5MJy`U!084XpgEzC<z7heIfm2x-XbD(a1@$Hox~gvr1$>j{BVXQ
zyr~D!HykO{P*S3%NC-z?Kxm4LTS*)oHjG;%+&nzw7&4kHRacy42m=~miow<dwM+qm
z7@%!}xuu&<a2m0;_Es1N1Fqr>-CF3|XVun!Qx)bBKq(Q&Un7GMF@~9g7jglz2jlSo
zlKsF!z~wxLhbMBhc`r%_9<QXV48*WHn3Okflob@(0Tu#8gj@X%Ck*dG2ow6I{RLAi
zEA%_ppm{^=pQq0n-iDAJCirMV)W_!pPNN9BuGWu_i@?f(H(Wu_zC|&*Z~Vp?a<KLF
zqVRGA=)p4ao;Gh^L1F^1|1W@LIN-$z!z%|2KEHsBVJVzx6c9K7wFq9p1P4)l;7BE$
z9%Kuv@y=5g8fpM8k_@jwL&Ry7AruNn8-UHhi<J7awKm{TGoUOjJ7?O@^}hPD*EsGS
z@3V)xg1=aCX3T7^PO^vnA!b}tj7Y=uk@(+5Zqfq6OH-36oIdP+6Lw7==6qvy72jVR
zoznF8e=`P$qWK_&A7u}Re!+s~0jLhgHz0<21bQMoU}z02VKAWQhRgEMuVny;SyzAw
zFKH-(@F4;RvLSZ~$`SShV`DDY)dv8zfER!S5(s)OIEHvFv^juIA@>e(Z5`mR5c{}y
zPpZsYDhl2sw^(xl-slD6ZarLE`fd>%L@!TI0z$&0!^88Gf-n1fr?|4Ds_2HwY}ws5
zkCKCh?VX(|L7($zK(DGA%sPPJuwIy%x)Sg2!OMI=VFDMNkZ^{T?#u*87zn(k3(hYb
z*?f>Zu9%yWMN2T<tQ5SD{vXcXJFdsK?;k(kZIKcRq0rJ0X)7hP2PrKLiL|6NwBI%*
z+R?NcO1nffj8xLll&DlRX%9*Lo+rBQ`}@7Wzw!9>&-J)I>OIc$IFIA?dajpJl1&8|
z?A(xgs4!5a)jtE7+QX4}_wEi9yN^Y4Q}PjI^TfH^Xt*d+dGB6e1H>cKf*Wq3e5%G|
z(~WOK!k*g$^YA74czI=HWB{v6o+?8NfC^8FfY27mY;b>(rje=X6<j$+#;VsXf4<ME
zTR<qWMG(O3vL0)$WTFG1DSm;!J>=VVhK)*Ci3F7Y`Lh`aI^d|SXB#`U7#5M3ou7Xk
zh3?w?cbnI~Hf^}rmhS<#EdhHiipP*vNjP}`LJ=t1Pg!zY1Ed0f!cCy|D1T2)1VA5r
z*%5@T84sJ_wvL8|L(Vj|PCh|)9ox!yr+d;C^mshjpG8AcPa@XpV-TM<2MbAVA$fej
zB5As3)~s0Z;_x*OclT50qeJ|K{`s`?B(RS;?A6uHj5LOCoK=a3%?JG)i@e;kD~j0Y
z2cDs=fpzDK-Sp4FkV`89%b-bzbf6zpM+X3dH|a*eQ*gT|K4X;v+<r56yIu}zjN0ob
zyKm*ctr7QI`Jf_H6aeTKeh-sAY$%|+hKD=I&xR#k|NcD%((&_SV=n4G;FjSbrXV>G
zAgF}#?+QiMpuc#7?LkO_(8?2k0YYINkyXs3z-i5zif<V)Ajcm*wB36n{`T$4Q<^5G
zrd8UdT`*Gv%x$gs;$<E30Roq@K+b1K6~TL{WPX4Q=|k7)rr{6LbzBzrKNbuIVecYS
z9gM{JOwCqvaNy*Lmvht5)^@}KN3URS84+EF){IXvE^EaQ0gD!I8iBw%&63T~#~2s;
z{KT`da>E7%hY#DO$flST7HF@*W>EqiQ--Y_gK|5=;uROfv7x4+K{Eo(v^o3)HZef4
z^*ivEXrrblCmlQA!!*@;8LRsf9eFrb%vMfTynK+9l*0_NX1|w~_b~$zS=rlVu7l0m
z&R^UTXCzY(JzGU`6*yi9H2IC07tw1XqF?}O2EY|qQ;!P@oYZ{hd((qV3>`qzG?iPa
zWv0)-3k?8TZ8&bHjSgBz{5slcbZ0!*dSz;0)*0<$x+o#H_|ezDfB*i`a0~WW2$Y(|
zqj1O+6ig#XM&^dSB|Y!X#1@H2^Syg7IO5Q0-nDcbW(L^A5LDs_K-}rRRj6sc3-|8Y
z%1U)j&9G}o4v~_O&_5C;U993}7nKKvhI@<|FMHyH2mAKzn?vRu0j`H*+YzJWd$)i|
z$jHg<_M3Zx;{e+)x9`M31!h|c39UnogkBiABTFwS)6&x7&_{@%$}iaq!6yHb($toQ
zgopQZb?KRyq-JJv<4Clu&&Q!xizhxOM_g3&JG5#JZWFL&4}E&t@cDDmCb!`0PcnWx
zQ6?*BETNM?KH!e++l_GQwCxI@fu;g`;A5>G<k&#~wW`Of+g`uLT|LcD8cWm@gpY;K
z=zay04V;|P@YF*x0b~fy05YAxP4tVxYn5${P-$J5`0k+`&8+?Rc&}&2Jq7~=MlBDK
z0pj90Ng?gmv9w7C`P7gsBtV|y-vG$ey?S*YIV=qgVL?Ob(v=QVI73}ls&(;g9Sr%3
zZw1i^Wu!q@v43!|Brzc0w&Aj4){AkL={ICGqNl~n?hAUyVU17RgT%zvwl+w_03shL
zbbWYyqJ4=i<zK^GKXm-WiRHi#@pR)H!P%Ufo&E5T`#Gg7&+!xIl;CC>1(YoHfIswh
zJy1jYRH3$D*8_tgWjJL2Iz0|0X?c3DhP%&-3)NOyJWey!BbQiC8a|RD4@|!Ah*^BJ
z8wVDM2Z(9JsaUnhiL1E2`|N$h)InE9;GLb0-#yEhs4~ArR4tA}MxW>ZzVypKIAAQ`
z!ewwXvfew6)QUXttOA>N`ZSz#=c1!OVhdqdzTW7j^2a>eS4noDKJ3+w<Lqg@Itl^a
z(<L7oJAmhg_V*2hTq*-i=-k9~NtwVmKlTD}S<5d$u#EWHM;TMQZG#P}$jccDabg;X
zKmaDzXIc=J@K)>HlnPE-03uO2Ib*0Dv2=`E<`p+-XTUH7<dBt#Nd`7L9MAxFp!n3%
zdWTwz+@0_`Ng0+3|8!Ij*1~`0eEKwOCTvV}03k>(O;I2!ioM5{tr#XPt=L@-cR;6K
z*<~Dk+1itFbwhLWiC6ImTX4nidvO=6u()4n0{IaNS5oQtAUU~ZYi4qCFEC-aXZ{Jx
z!1oj!QdMpb2oGOHfU_{imJH9`{d@P^zkif;?%D_IG(EO(D3WXk<eC}(kwDRDpa@k}
z%MmDxauEf$fIzYrXGCb|Smz7c#^+jI-?Q!Th6#%P<|hn+0dnd70FV?c0^sF(8s%B_
z?vr&q9O3aT=^IyvX|)6Ioq#Z@Fpi0E^9dSg*+vik+whSQ<qk4qKuWo#&tap1A`u_U
z1xzU37*Aedq>|bp<YFjd%>!~p3PLx0Ax=(;w)GD{g@E-5>y`;o(=SO}8@+z<b0?ym
zICx*B?9CgO_3*IveEBl^Mg+yXOE+o-et@6fY@IqqCJ1<BP_xtG%%HE2YsY4XLxgs_
zghcp5N3&c6C>9&C;B=(mVU4DT_;Q_IHjII&MmLlK41+ArzVI4^h&^vwCM8oXo~^=*
z4<I^*3jJ{L+0lEEPkCX`0uN+<PU$qN?KeZOgi-o)Z_3;S)C@Alv~qyTH`nfDPy((8
z3Uybe;oili@$=!MN3Jd|g)rn2z;=QA9*IyrG3yG@3{^~Rf}$eK9(cO&K+WMH#U}az
zss#5#AF+csH5q&}0yG%Ds)E6m7ON|G-){f;BXYjjrz6EImXi+{P+Sy;I_m1OV0lQ5
z@~Ua9wNp*02DG`2dw<`^fw35ukb*Q*2Ox&v`5_JV0u_YQ2fv6-IRT(I3QsXj5rq!Z
z-{$vK&;d;V#DqU&+dN43frBr}8jX7%Qem8zwN+L2Jwl<=p=!M7m)1(!>0=Xxz;M~J
zWiY}ZL!^1&<~@`*eSIf^pJIzg=`3Xi%S;fkzfT?4VHT9RG5G#IBNdes47>M%nxS|K
zrRT8*`E%0V{>=Jh%b+(X<ek?eCdD)+Nj(%!oeIaZNCCq}fKCr5@VRq)V2;FV;UWr1
zJB!xp9lN`@Y7&4mLS~Zl9e_K4$)}YsU%hHA;=hKrt*J2(@g1LveZ41V;2K`P+sBCC
z1$#{Bck~eECvN0{&_n-+6s>uH{Pk%zxtX0V+zT11kzOg~2T{J_rO*w+(`jgAv<B4$
zJG-8OF@RFi-UjAV!)oC7I!QUG7*V;j<87c$Af+DVG;WZ^;|n8ccn)h0It0J2*Gs0<
z6m1_uEGY#$DjrVt>jwm{qbUjq_?Uf66)Ce5J9z*EN4*Q%g>Q|m7p46y-uu<7S9mG0
zX+eCWxa~)2Oos`o9!uJiJiDg1phZw6qlE-pmKjf0AHL0`oaAHPHUWVvjtE{g5PMrz
zw!iQTm@nnK+aVa)zCG*t^H^<%%Eo>XNsdLWrS1w&&gq1OIp}3~fW~XWVmx>di%A=$
zGp;)#yB@=erE+BZP;Y|&ZqG5OL^ZJzz_Ox;|NQwg>anUH=cErudK?1wnh4T?UqE1C
zx?}-KMvu^>qIOr}*^aXl!pPClYgezL)QXmJG<lUw_;AVG03W!PipL)ieM=@AHY}LQ
z!4&~_Mi=nh=V#8rLACZRAP%s6f^ObKP7HdG&uBLR0OJ(SgBl&KUI-Jw+#?!Iqh5IH
z)}ZyW;@h{6p!>x^{kEnCvC%WA?O^N<jf?yK?Hj*G&wf0<57ff|-J||}dBPo!*IsP{
zt1ZS5rsIxX8}LRkfPfzugRwbtnF_F916)B@3XbB_rz2ib2L#uPTQkLETVaC(t6qcu
z{_Y)8tL~MQ_+y!@bBSEH^dACa>z9|G-x@qA*N<C@&kj4SY4VYws#6O1hH4#O{WOiO
zK@658-iKVH7IhpP*7;f%B`qoZ%pWDuPWJCwaKW>1IP*Hx+LJb+kXHdz;D36FbOz?-
zO;o$3v)oWgFDdcy^#!E>MhdA#LbsdrbakE35aWo<DkvbkI~*Z=XXKs~7QS6pge)`A
z>CX`9i{}enBESM!Y#q1nlV1XXVK7XG$g{&<of(~qPuBu^11BmSBO?q1%3e`MB9Oxi
z5FQ>LmFt3;0eNiNx^+n@;@pID?eU%nI9^|lz}OZjYuKHvttXIt=z|)kzMx~!>%T4y
zI!GE)&Wi|I0%u2Rruq(m1CRCg8X0}y3arP``MCwg&$rrHAaOpj_F3L6M^LoU7$N_P
zKUe8{d;;<TrY0xpN$LU@PGgvz`4W^`<T=6n**gk{bm(^#c}=(de;atR03mQ4E<qPW
zKwc9OQ(9BAycA3Cco)d<9rn#4urFYzL7>8|81jdafq}+SQ~xb$jJ41ie;1a5jS`Yx
z)IwN-n&rbEvT4bbWat@IM+N_{6)pegO^l~;Ri(y1aV6O7p{>z-RaAbnZtx^cC*53w
zWY@2U^}Aa8HrIT-#Tpez+)2@w6V!PZzHI>MqCJJt6gE}Gt_zNngwmn!`Ly}IzE-rA
z>sGhY6GCF`y%)YOdvNHQlVZfS0Q<D1N^|EEtn}x?{b^FgcdVq2)%~a+?Q-zDTJf#f
zg7y~Q^)E}cYw3BmWp-Zh+@E>*=H;b}S^$I0xEBjIOjnB)kM`v6yc71Cu`2Db+|lH&
zNghMD!q@%M6s1EEVuw^$Qe~b|6<0nsBd#VGXp7u71a)yik<O-$nOJ6`p1`KVuI0ak
zI(YI$!j%+FpH2IZFQl!W2@}b9Tb4a;Y``6Pi)-}qxoyC<>8bJ?=EsM!FZx&VKXGTY
zoY5FNb7wap45wmbTmNN(T3)}uy5nWRsq!dgV(+izmV1r`J*%$_J>)`35h}5IaiyP+
z@L4#-ANR)Sw!iU~q8W8D6%h(`!~6xKI`7s?1CGu|jNVD<2%5i<yy@S&w26_TMyn|H
z<H|ap+cz{{6Z1wdN=7FdPtj7Xuih}?Rj0N5_<A>Se&I>k`7Il&Df`y<DoUn(W1;K(
zl@Mr9Ud(S6vgv|1aaFE1VVqX@3PnvvUHSV}r%$vzHQl|Edpzk0oiXDE{R@rB>PPgM
zD`OrAakeytvqnZz1X*T+=$jZkj&gmn?~b?Lptj+S)F-(Pf*NHzcVn()qg9WXWaxDI
z9(w{{KKDBfKT+ou3pyt!dFY737Q5`PjS}-YY_gNfsb}o+<0>mXTsf$MtxY#PPb8&N
znCRxjo(`o8-?y-sU%$Wnxm1~ix8~WY#|Ms_>)x&V;6m5ST@KwHXYwdYxdXBV>o-xm
z?L~}F&TkVXLN>0LYnL}8P7E;4SPIh;T>`8>_r7alASO?8T%XGs$cas4;Tfw^=IDB)
zPr16%$)G7wn0m^rRba#P4;#wWi6<`vPT4H))Z0<QF>$s;xG9GJ=k<L$pBbrxV>?Rr
zUMo@Y9X}&Z?I`IH3ymJ|Bo0*Qex5UE*+;xQ!o}fg9!u9bbI*iDFhbu{_3IL9%J^K&
z+X6%8Hm13vHA<ESv)!5+#GR`p;&UN&tV;De=eg?)bhZ+wUKdUAeJc&|HsE@6F}1*>
zQkZy?YOt_<>qFYp<6jjU%Q>0SnClqXcJxUsy)Mr}gk<<^)A8I+2v@bJus6S6Hy74c
z&Phv^u@|sVdnit<8cA@jEYE%Nnz{6f2BYzIv)B9#-4-tdo_;0>0}EC{t;A+5fVlpl
zCFW9bGczqUH7?}FerlsMvwOa0nW1I)j)lz1t9zsgo<UlUxt*45RB^ufgqrR%nY3&I
zW84?JmueALGn3U?dS^bRuDzLq6sS3SxLtPf_B$AsWQ%BfX{q}86+_X78p2LP#N#WC
zRJr$e;Ut8K4GfU(a~zs#8!M2mt#EdP2Zf|l+0Fz1dlTw4i2b_t4IEiVL<=5y#U{QP
z+xVZ%ZBh30PxHm0kL*vvqQ`T4;^YY4iiA!K4BU|P1NaG!7N9%_0W*@jDk^A%M(B&}
zLD!Vw7K5T6jW?NvIsQ#s%5t}e$RjlW=%C@KW)=q_{XhE8cop#mbH~Gv9+ey0iTneT
z|Lp6bWgk|uv)h^6GBbf#=^5ij5*!MM;_vU13P9DDkG%7(TW!(HIlT3nntKk>2COmK
zPoZ^%uy&*T**i%|?m$|hV0)|0f1AiejW;{yB0hlgW5ps26^YQ_Cqe+^B4fUxY!xB9
zBzp^Bz2eCSP^0g)i;s)jux=eGJhicb#fEgBLBxZ$6V7i$2~<?Gv$2&r$6mXpzW0VE
zljoMoonP|Tm-u!wC=%K~TnBMnr*1TMT3?=hdjKLRGZT~O;Na4X{me<3|A$skdn@Ke
zR7jCxhd0rUlOmFv|KT(e-iW@i-YL{n53`BPjWA={pK&BNfQkxN<t%y)2=Sm8!w;%b
z9JM#rNxp4ueF_C<bt0Q``*~6|)A|{0p<S5ym~HxeEbP;>{SC=n1zxDs4nZSZS&6hw
zrf0uTojhsOpyh%?6%>er+4P?-P=KDVt*tHha_;{ARcV99cKa4V|0yWw><gE4umRX_
zp!Y09ds!Na>TVa3?tv?Qg~CG~l>q>D)B~-UpFp5@emKvw&DJ(Noa^UJ33jsTkC&H_
za78uY(y)q?Q$Ro<*RhfZ=K9n95}QN%(lU#!#tWr4A3D?kScv9Bp_{Pj<acB|M%~tp
z-zp-q9-W1QgGf24e{?!>vj`z4IPw`rpgF)<|HO+XM2)vK<G+9C_7AUOQJ453{<1sr
z6Ry^|F^SXf5RGdCX$>j|Ab;Hm(Exys<_qh)15qJiy1OZC92`?p#WU>6cE`}Z;z?T-
zSO&2jF#X=z1Y|vL6BJZ~fsmDztX>_D9(C?xE77QcdlQo@2q-me;G4wiLF<jO`^@Rn
zq>=`x;<_R)Tq-^)^uJhPl#!{(Tsd7VwXm=TKtIOk|Fwcw=c6U<5gaMN5s0c8flw&b
z!eU~6!M6j|7JzRzcmZd(UXY7RRM{8ySEL}}1o|KjaR%Ulz$;-4N?T)-=T68EpN>Mk
zgr?(}Yd<>`fl8*v#zhTwE0hTW>Lw`5pj$#&`o{~oJR@FZY%2#79WF46p6c4#gum&8
zytW96b+ohl*vFX&r3g}c5PL!C!{s8eq2#SXLa-`{v@K_5PVL__jT;K#h}wCGyYTwh
zM<9eEV;G(|-#>3hb`+Zz-HOjAe|&ChYFb^2Cb1`@KtxnrJhb}>-jjggEh0YphG<nI
z+vX5K35mwCvP<bB4wjbCv4{a81pU{PLswb!TTYY>QMX61-=JSc%vK$c1`$zF*oNt7
z&Y_V&8Up}z_g_<v{WoU8bU@Ai?aLQ(_y!vj{Ba0+TDfs!4S#@>YklAwyk0vS0HB+J
zfe6knN1QbfCVHB42+(?V11c8t6UNAFN_?aIZxf9!!hOTqo5BC!(po^cbv_(R3#=F#
zDQRg#a2&JSq`A&->jp)J{{zMW!D6@}%o?~Zm@ahf=FO<rkPkCodWrTM!WZBuA4RUc
zJ5hxc8p!KMxmJdqxQ>#2TIR+XsAdqqrrm}9@a+cX;*-cE4&<oZcZw|XleC#NkQ{=a
zL%~Xi4y~j@cnf>(SN^)@W{$uzrxaHfY~E=0p^(n|$eZ!oIJ7NA`f;Az;=LG}?0bI<
zp_l|7X3o0@Qh2`N(rr}qBa?kersHNJq}TiSM{#|zHd_EOV7c}U43OJATIER7NB=sV
z@1Fm&(<%9sz+jzYQS8$StN`%VpQIo=JCk4ERw~cS!ljL1J1Tt3m|BziFl{_z5i8*{
z!X<^}(9drkZ_1VS4q+md?vQHZ8AFPf0-&RTg2&%#6CmJ!>HG-?5-F2{aRZ)dD06*5
zY+!`XD-87c+U|!oRnFV11AHZ(aoi6Cmi_>G*Sd24BAec4Y&keADR3a?J{+v4TSQXX
zT?ZPkrJp0OFreVetAKF#zz_#uf}2}x6*GdZaR6nZw<HN5G;I-{8VHEZnT$neft-`W
zMM_Tt<tr63{sXqF{a&(3^rjjwIkoBRXjiQ483NOzz{h7k6mI&@+bTnfj|>|~%}GL#
zWot4TZopjFfuI3%Xh;f*jyA#Gg6)W#i_6~Hn$8jlG+?MgC-7g7r77sf$>r-Xnt<KF
za)wlT%jV6^nHC-B(b2<TY)@FwMFG*Z>9o27SF72jPuAVR{Y*_u1J*Xy?!UO_Z^DCA
zGSjt`{9eBEbDsC3oE#nD<R<Qr7vcT=(6duA!qmbVc^hmE;4iQ)Z@@H;k^m6Z#K;Kz
zC}R^7&)o(OZ)uKYs~5*=0Y;9r?hG=r#Vjgm(F+;*3Vel`Sy5h|EBIZf`*V2sa)K^i
zq*H%jo#I0)5YEm-hoc)i6O@UF9<tvXu=!%%c3@?kfn{PA#V~U|NJo6QVRGdnXZLlx
zq~vj7Rz^lfMf~IYDyN1dmNuxvgZDj#E7QxmsA{-5or?;{nt@|K(<V{Ye^`;pD!3kj
z6M)t#Tl%u47O>HW%MS!t?_fi8=mu5GqKG1AEv83gTsov@*Q2OBzqYSP=MTks5Byh-
zaWslE--UVKr;yGVP>@|*$Wd%lyYcbSW5>2!%PT0b8Gna>m)wo3BP0Lftpv6U77@6L
zO*YCdbs_Dz7lThYqBkbLsk!;am@^r2;6@0D|AEjz)F$o?@&k$A77B(?reg^kPXW+V
z?`q4lMR-pS${$kH34Ert)tLXj8n52r!;#x;USD0&R0XUq257yhbvuX>DN()$#?S7|
z>K<VVl2~*_o2-M762jl+jt&cP#pl=IGo?Y)4-*s9t(`VE;^Q|GH@c0ap+9ZKVN_Z9
z5Z@NGj)9(@1`tOOCaA)UhG&s~6>>ZC6c#1eAD`KYhkqx(kh8&1R$eRXg6<WEH|+Yq
zQ8EY#%}MLx2u4vMyK5KDlr~`cJZu0MHUrSaiguv)R#jDnWud_HGN=LL#fa#o5-30c
zjsxp|>J0>p<UPskFz{kO>is9)tA_3w!djdIXqjr$SYQ7UXAtHFXgx13_S4r74+}el
zAm+azK`BqXu%U#S?j|5e!9yclqZ6%Q@-!~k>+avQ3bmz;FyjIv6gl$bzz_2q-H?jF
zn(GGX07@}ZfiV2J#NQttCLmjwE)k6sEIqw@X=%TpAOL^^bon#B)~Vb74j62rxV9+d
zP=vz3fh2Me9DPVifBJhl&$ewpAkV==={Gmy44n*22=F;U15JKIusXTPv{)wki=vtn
zw(ukYi!lf$5pR6N6x&P$BL0bTFgNp!A_=Ptdlgb2+`A|K2NO!#s`D3PDy#;NHpPcw
z1NdpWuK}h$v`*wdlXuj1F53H<HVt#2n0{dXUui~c^~;`@cyvCUzd#AUI$?Amu8M&g
znz|Mdi5PbCnlU1ra{6$j&jC$coolO)&s|Q@k}I6+4sqC<FS0=?(S(abq|cE?DfxOr
zV7_wIGOC6%gGJHJLQ3cEbd#5P_tp>rV~K+o#;ks757x!&N<x>Y@l(Z_f0n3wOQm1<
zEVr5vni+^V{f20a7*EttHcsTQ@J#d}j;M0^sUBZT98@g!5=u0#*ABa@A3tsKWZ+Ri
z<1!0Ph7|-~MmTHlahgsq<B^ErgADpb+d6CA6FC$sgF-!Rh)Y7vA}ONJm)&`n#hKv#
zU_;vh!?%pVhNs?~w|h%pzglp0KFxux-#YSyj%+2&o@$47&4jHWI*YaD+Anwz%Pa=o
zobS*QrW@(#G~y5uN>4FwEcNp_=2S93Z@DlUW8f`EOU&5%8CG*Kbt<Zc8lQgd%Sha<
z^2+VxUEm__#kY-J^9W32b^dm0TiY7(Ckp6()$6^d)B94h(hXd-S{F<WP7pH(dO4OB
zzh-pko(XtH2+_^OJbh5VUg^>;3pyjy!L3wB%_~`!T=@b-tk>gXFS?ku35(Y8J#L9~
z{Q*nD0|~)%ir!_LwTa^UlBsr)l+Kx)w<h^Co$FO;JB5C-I?%T;Qv<Fl?oSb9oS$|V
zJ)9d^llCx{_MwL+UpOUY#{cDc1I`=La~J!YyH7P`hf|bpDrO%~bv!t^obEuY&RPR*
zHhtea8sTj@cT)9MV9S-J)TIvO^%}=e*z~{qI*KMm2Ql?8C$64&ao1i|SjT@?V9{ue
zrm9`acru@)D7RAW#y27-k3U?hbnBJH6J}-&%E^;V560&^T>VZwOn6-0nDp|T`rPUv
zuOo#$S0#nR+t-BDnI7$G*}dGtbJS_L#_?A!%b5+EsMkt9J=D-Utk6>Q%h=(*so`E?
z%T$s3Yem|eo{ckqwTYwLKVz3CP-fmqoAbAF3m4K>qz=72Z+B!j^~mb^j;-hHR^aj*
zKFF2H__i=Amwot0$ni8^MGq!|CxCusKHvQtwZzP{b+K%eOCuq|8oqw8-JUUMCDHeL
z$HG+ciYWe~>00Uy;s@ug+|KtOY=}1>MmS%^Y?UQG#lAH@Z5Z04S>{M6U-{|N_mYLM
zRVX=rx3N)!NSMr=6%p>?dQoD{?b^u5HrwmSvA+MqlF}^JpRDU7elGaeWiU|>{5r%T
z?=hW!t<@_2xfJ&=L-Qhn&L;QfYLN*^%3SvO1^pXFG(-dcl=Ysw8e6G9yyg^ldBpe9
z$gq!5>7(YoiMErUYu8e5@Grdh`K4tI5mxS=CYQ9DYOv{jW`SP9Z>O?YT|(sN*HG8n
zv|nS%<j#d7|4d1w(Z_bt0)ZKZ<>6evZsx7W)PwcqO?g(wMSsrBoL=98dcecyQ$f%_
z;b678yStR3DvX7a5mU>Hv!(``27@GBot?olBeHb5?oYqFQ(8Ln(6)cQa4<h<9ZSlf
z*>q8Yc6gZAoqXp_59HwK1%pztkDrfEJ6?WmDH^V#=g+OD;OzUk!9XV-PRN%pm7hL?
zkj)n|Z-S(<3nDh-P`$SJVXg%Pye&PKGu|*bFt)SD)Wqa)M_MWP9UL`j4<<Mg-VQaT
zMIoqgYz(9o0ebUcgN#8vjoRS=TamX%x+7I9yaP7g{WE0jXD^Bq)b%9Wt@H5%%)QZZ
zaV(bDkB8^`F0z$DQHB)5l!Ny_K6Xq?N;+X_xgA{!@cqcBsHz8OEJ5ob4Gxt(`lY{e
zNO%crYlqQ~Hfcu2oBse(K@xJ%DuU($N%ARrkrsnO!|;&f6&9{H&aoIB^Qj0X0Fb@#
z2ct?rqk(b}lPoj7dZyS960hI9(TR~t$0>o23Vsd$4i!fSJi&kmjL%n8s3ETAkufa~
zbeLYs!O?!B;fv8Lfs=2<-ns~6ht;^@aK=qR^9;E?#x6MHxIqDCT?tx43Q2nfP8J(B
z#NlXRMNklqr2I^-7!zIK;0+DAJ3eYK*-C%~8iW)Q1vSo3adC0{;YH=6I5lw_$;6cg
z=igvG;b11?ZE%*u8;-^WrL;L>?tp&)O)o)ukhUsdk&`It{Sb_d^A|WfbX!j=P4ex&
ze)&SN#GQ0$;1v)^Q1Ip`#gxK>zQZ_e$(Kd#3EB=LRZu*mJVY@J18I&_^1Y1ow&$L?
zs3UQ|&@q5ngg^ikI4HJB)EGV(xhWC^-&KCTq_>L(nh+BW5ICz^7SmTmEksKMt6=Z|
zcRCDifMn10^g?gldV-1*^fJB!eoz79n+o94L%azx64^NK-#Y^n$=@mq!RzMDG^J3f
z!r;i&D5b1+|7}$jT;(Tye4Yb;K${FhT1;5jII3^d4|cY;=nJYpe>R(4ha^Y|lwW8e
z(Hmo!l^}@LO`E=eXc@$41$Xzyi0i~Uo4jv*{J3_sL}f+ANuU&1F!+J2DdnLCU<pRj
zFa&S2eg~X3A{>Eeqf-~w-GVg^lWuX}Q3QYe_6-#HW?tUc6%{FPT~$|qM?K;s&*f(K
z8O1U<E6lM#DYgKaS#n|`;uwW6sR4X80E+y)JnKpZmUU!=6avNwOfB&g`3k>#z~J6v
ze<voG$W(HEMO%wDg_R`F9bL#Vk@%KoIo9eRpdc_M?>PEcOvf1nvWeo-R!i$T#y^3R
zMmjWvwfGExDC7`Uf~F4TzKQb}_?AwvcGZuMFK9&s6}jvZrR%u*-$^jc)2-e-IWd7&
z5)~GKF%Q^chB`_TKCfo%#KST$AY^tPMI)BKf`S4PQzCF%aiP&hR;~YvM-^CUq085R
z9szlJ-J7V6-C%^o8USAfgHLcfA4ee2u_Z9W70pJd3a)zW)IsvefM7&U05HXBzz;Mf
zFugj>RcGs@lNrsh)CL4-V49J&T_`w3Y#T?(alEYhn*X-q2ba7@yDmXji@6)1_{d~n
zz$5Ov27{i0!gN8#HPR&EeTM(&G^B7tfkXcD;|UNlkuP?I+pn)R7q=)8wK<**0vzfX
z^a4&Iu?mV#4i55IO_!x^velo(HhBKR1<DKtRl)HH+SS$Foq@#2-rNIWX)LgS$S#+a
zk4*AYr&v3)%DYi<$A*P%+29X>9CRs-BXjapASAF$YT^2|ejbM015ZM84vl!v<BWUv
zXsDMjt00+Sz;K9bvGf0$*1&oE8f4DKm;ohsIsKsF!Gm8Q4)5y|EP^lyG%7O@V`_d5
zs0n!T!_fiE3Tzq`-aWXeq^}2FF=6R*fOJX7tLime?Iiz-O%@uN$5~mxX7IzhY#ANY
zZ5IZ<qQSYoQK4{ZHJYOwM7BaD37Jh|HzHUmr5`_f;kTO3IIl1Fa}NIU?Hj`#XlsE-
z<jZ=AnwD?ejJ9%QY6|je+wZ0b`YYr8b3}d_nB9Nd_H&`+ucU3{uIsS(M;zJwU}Opq
zNa1a_KmRehR{T<}-;nP2%WR#g^7%^m#?G8MwEfC)Y~zz^P}O2Y)<;7v1o1RAVM!H{
zV~*u>;$vdG5tl$<e_t<PBf1Actxu(2L5B233JH6wxeIjC2O%5=&Iync;0zf6G2Qq6
zRZYz)d=tRE(A+tlJo>%vpIn(EBf}#6HYCr77nDVePuE~pkr&6~f+tUm_GF{uhGdR1
z0{_21Bn@uqt8Lc`l?es?YH4J#ljXe`ZYsp<OMeR?aM&Nv@p5iELOSGt#sSuXeKFgJ
zOnkpL@WN#+kTJJ(F0Nl^07s&o&$$Je4+vH$kP!V=QLWcd?;1J->wFnwx;?_je^2A~
z-~K)KBI#L-gsmRHW*qZ4F$U^BuB-be61$XE&Uu^&;67!TWhlZSTtWJ}9y6@|>?hEp
zz}w%-&&%7`_$wkZJpA>KbD(GsCmgxozUAFlSayv7LqTj0oyCi!M>e&!yX54ep+c=5
z8)y=KItpQ%!`@NLNv}K|<Xik3;!F;O##h76K#ppLSq&HFDIPj}87>+5_<uo1!5&wt
zIYrr+cK;g6P0CohX<uYd<<EippS~74cQdpFYiWpm$N3m!u!H#D$O4YW6x&%j0y|KY
z_f0bT+2KO<r-Naa^D?mQqKIk5Ly8?1zDEkFvIc$4oYTng54Wh;wRsgY?1v1NP-g^5
zZVqRwzY6sY!oLYRdio}QUkoR1OZk7J1AM%R*H+n|BAQx#-Oedl+S{jfo(`&)gO?r3
zoyV^~LjuP)3cCcUlXqkeS)9u1sY+5FhYvG&`OR}@>OK1O#9#aKoyffw770NDtSl_)
zwm}nc5>$S2!tv=q4xEz<LUhJJS|)kC6?j3p=fF^nnkeU4EAF}Mud=)Ruttj47Ir-I
za3b@tVYKB-%dawMX~xrC`8^mMP41PSiT+QlNhAV$81n$ng@4su&xWJ5wOs4g)sGEd
zd|rSAK47`3NFl@x`~Dp`)=z9BAV^SH0IBw0_|<_*2tp{UYmCd*SROq}v4pGwViR?3
zZBao%8HD>@xbO<7HvshdzNTMDMIar{h?H1LEhs2B{~Bc*UKv~3jqBInVX$>g4H*)H
zjT8k0@OMN@Ce9eSIhrBR7ZytJcfc;OieV{)x*NhBD15iEUjteV$r!IQ^r~dy1rQ9J
z)6n_h=lSSm`F}c7<#t$8>7?$!DXclVVW+a%O1ws3K)~3@$P>)tLrNunCM8h)Iqc<O
z!;KHxunTpDKlVOkREItwm9HQsGBcgJ4?Dr4j0+Ew4}r3%qsZHX{u+|DBe$8!!324m
zn+1nIbmbj)_cE68_xP(UY5~eqRR`e!L3NF@-R|~T6nD6D8j+dDBDi5ihs^1(Rnw?P
zmD`v1_A!fX{~%`Nc6xPbYJ377P3Tt1@Bt`wv~O*HQD3izO`eBs4Hp+WoRe^+LZuP;
z<Lz=FH`r#uQ2cQUmA-y$jm3?G2#0$!Dgs3(W4qdhm;K^{0_zp>&G0!eZ4q@hNyU9V
zql9_{hXGmMp?=5H1b+aj+C*d<DnOLI+RDo3-zDDceu9b(cH}9PR8#hs{%whDW6iku
zL!|p3-*fkD-~FVF<+fH4jVzwS&g*-zf`*2U#JmO=8@|iZ?+*|!8hY*1A0R$vRrohl
z=DoeiJm)aEf&iKb4zW30WmXV}ykt;sX0@|@haA4LF8Na{y)h6yK#2D<bINQF+2UN3
z@J0a_{A||icd?*wMVZQ*X8mYuBL_G5&w=qW+u?WeF_&YnvNAyi_?)v(l~(;1IZA?u
z-@c%vx_0dvK~CmqbhD-Tug<N)Tbq|XA}WfUCW(5RT2$l<30ZWZo;LN+2wS)hSBsR(
z>JwtYT%vyS!bEnKU1hP$3ZiCTLdP#&7E;_nAK@T}#OBD+YYi4~Dk@5Drh7}g*3C6e
z8S`70kQPTFR*hEuaHf5xVMxs#Sbj%*jE;NAjscpFSB9Olo<xOk*M)vD%4x^R2liDr
zew75J&St$PWb9Y=E6+r$F^8NAe4wS>l=}KO@jCQ*bSfc3SqNNa|ET`z&7YlBG=y5O
zZjw=b4{KYIJ5yv)s#b=f4bgR8-p|P@$<;jadK|}+49)V?fv>b|oSY?*(z_Bag)_KA
z($d?a2APbPXz>93`TQNk=x_c0op%}+Xm=Y%vQg_*1Mk)i@6e@u@)fau!R2gQ?|pNj
zW9j1^(<eQMgpVd!mMW)qP%{~Lb2^<2A5rp}dwQ!T`zBYFzC18bFDkT+aYSav75a1$
zH;TjW!t;tM`*%<+YQ_&8QCaU#XIarXC9=kCcYpruqxatiS3aV2w*MA+8YGwPo_C(#
z@XbPnluV#Iai?6Gx%Sj3m&RM-j^3oXo&h73*>8iUvpWaR<d5Ur3TAPs_4|oCH7zS?
zCR=Wp#V(YLrKJhd5(X^AUJPNY^JtWg4>1$5D@tUNWek`IhPexRu{vCY;M=g8%|CDD
zO6T@eABq&AyE9*QV7Kw6g&O@?rTNJ#nWdjotIXVY6B%Yrg>eHPgJ(~kUbil|(8yUX
zny8D`72!BB_Vj~*=GbE!gY;RYt-5VVclfPFWgmZel664Nd~_Fu`b3_6rX$dFa?GGQ
zRBvp+KZHFxy>&tO$zejDIeu((=(y-N#j?73+EUx6f*DHA``5S4cpchAu&~UpE88s=
zVm>NTv37v=^jujiJs<bGmgVV(4ZfcrYB70%S|NUm5Px>i!OP{8RRbf)<%(F=|3+>$
zlG4}Q6igo!lt<~|91&xDb|9-(oZ1t9ged16iCR&fKU;rAN~)gb&fOOl+>iar7GAwh
zXisG|v3f{L?A4z4nPuoD>K?sy6W+8^X-4Q6hyJ0*d#dO2JJ+<y6rZQ<e6nw<!}&0R
z7Bw(J#zecGS^XLB9(Q)X+ocv<9-jv2JFO;ma%gE+F`o7@X!?3jkIu41dtPqNGg*_E
zFKP*(r#EN`8pAVlX6Jn24$l->s+;$4Zl_p+ImU*8($$}n@-uLbQOq$i9<w02e{ZCf
zng1=k+pKB-L%ln+)WF@9=RYxW6Ca#gBI&0$KBw)Bv7PJR(Dajou-<+2MMwNH#?ze@
z3LNsqkJt(G;;GEbGX_mI+jp!adIe2AN1Jj9^VYLjo$)8#2n*x=IhH44Mv3c9GyRt`
z6Q}7d)4YOf9X?P9y{-pKdmepzyK4uw8v3suTm_|v&$F&8DD}AD-PgfezS_gQnYY}L
z39hw9{rR-G!a^@}R_NSg9&2cy{|9`KrmkiGp>%#Ew0bit{7o#w_SB;=jZQKt<E8hx
z|Caw)y*SA#Isty8b7}d2Hma-@VSX!_pA-YffkNX(_q*z9F1_3D-f6-6hu#~9>qE#J
z`uoumI-&fMOy}a<u%QSsH^~0kvSrITr8_8ektl?L3Trz}!cc0%XIX>4hjSE(&aYl|
z<D;-Vl(iL#u=@JuxBURaim@AYTmE9)3nD0~p@tP(mzIaW^gMeOZIB*2_;znl|4@sP
zQ5iQC=P?pAT&DwoJeX{?a<uZ$o#F?2#-k`qk;)b9edqtdpm_$D#8+j}0$UD^#fukv
z_Ryd>#>5WL2Hd4Rm6@V*D@bz9e_<Xl8Au@^p~(g1TYtbB04^!;Ga}jnl@H_qd3kxL
z#Zb|rk1Blj45xPsFt1P)NA%>#9J3=w92^~??*t`>3O5_WoiKT}6k$Gfb)>x{LbmQQ
z3zyNbFJgyKXhGrN1DgdDsYp46F9tTd=S4+>pP7}T17<S$O_&@HHmr}7_>T%d0YnY1
zjn1C)h~da;{{?l*JPbpcU6}a`tvx}KsA%_D9=$<Nfk+Ap=?EeVyTCl)F1fjwbu*5N
z1pfkB0>TKPN;2i7yL%_bWc9oJWlq7;Z(_d&_4^ux@f1lzsvKc??ARGJSr8Pvhl4e0
z`}h&{J%%)#M3zfBfFDcpDl4ciA_>s|aTXB1L6FBcS)vT%{IueNsftCh4mCSDFi8jV
zT~D;2e}(>-lGU+-clml5o(69lgl3dqUrWn_16x>F)5{QO7nnFIwCvgKyYAn;n+-oH
z0YV>5g#Fnw6}z@@q)Gg+I3#^F*yG~AGE@{5UH}3$An*Xu3|b8FI7V~G=$0j&!$<cR
z8X8uLc)*ZI)7jnq%J~S`C*pNk8T2@0B-_J>7~gT$+Z*ceC$rfAtOyL>65d+rmuB72
zO@Wi)(eY|WN5|I7?}j{}w4qp9S&3U$u-z7cs}}AH`qPNoG1+*DO*vZZKNc{o4tQ3S
z@4}r7Km|#^n(qC5eK1Nw6Ow%g1%umaD7E{Q@flm7gh6owL0M!(go6LPJVsKXYyt%>
zeg*IyD;2yI0>5vYp>R%3Ng>FPW0S+X{|U;~%OOnP0IxZ1stpq4eqe+bFXou%IV>{E
zve1hg8N&2^Qz2yA4scws<YHjyC3*yl%{>V~8al7BippgSO~v(r|2Goy7Z?nY4F|I?
zItdK*2Ct|V1#!NXyQV*~yP<0U0l5{yH##~%3V(xuTw)1i1()NIb~R?E|MMWKi`hrP
ziyRZPRB5)H$yQ`H@~HsCNihN+{ua1+>qz@AS_A^VwVWLzlRT@KVG<!NH%RKm_$h=#
zqGJVhuL9B<cCMBdLpf*gb1>kMIV+^hJ6@p;cqINAXbS=m;o|uU9STHfcAlRACT6ux
z7XO|y?Vmw-*W;s5HA&y+H5XjfoOt)aRs-dy&I{3ndoDiTvUt6gAYUJsp9O=_T>zmp
zF($UOLk@I&qZKfLUx0py_3~$fKeI;leaP;{qp>iV>0h}Dv(|5c;slfsvqeQ!H8+6)
z5%Ifl$@<Mu)LL-?)p8lvVECE)a|Bc4=obxlxdN-0Av^;32?`mx%y%*~Er##?(Vt{&
z9R4r(qka^lwKO5iL&u8Lu}~l_ioUZF{QPfPS`cdQhyow!SfTH{EyCar1igzo-`Dpy
z&=*9G7olC(6goVtvO-y{N=bOz-@4Zck70uEl(B{eGZheD_O-7A;6=55oFDjH=yr??
z*=?Z}F!~`7Pgh;NAE{djezRKx^ME5{XRnnwSqGRM2ur?0YYs$2jjm777BDhifp#Aq
zx2lTDVeY<+^z>?}fWW}7kv!L;9`IfajtuyBK>d+WDL8l0QGtj1kCt(=h@>Z-%Hkz6
zV;o^$LCP~hexHeUK9w8mWnmX3z{f^?+8-5i`!@b>7FOg*JG+g$+~2)<ljOAy$C-Lp
zH1km|7SA8l=f@(fBL18``GR0d>NRzW1rRWZDR9{NAbW=z2^lxov*E#p(yqhzcu)L2
zk2CFyGL-9=u3RBa#RMQxD0mu2X!wrR99L7hrTL>4?wqX5n$XF%<5@FsUE*~HykSHA
zAKFM!B!=HgpNPM83!Gfcnhu~m*v}-T1KGxOL{0LpcFXjy=395~|AW&_MOGtMY4I=v
zyz7hy5I~QG1&*%YXg*oQ#$lcd^&YARidHVgD_p4=Z<g85@a+7TL70{yHiIM#6XVhB
zqWv{Iz$Ycx3FxxP!{G4YoEgyIJQttWeqg%`09DK=%MvdNAsMjtXe7r|0T79aWy1U*
z;kKb;#iDLf6RjN}&Z_EaknWhecoTv4_g4Xm#y~wig?XTS1X}DKKX07Y#<lWtawew^
zIu!0gjy3wQ{+a(_hZ86>uv&uV8f#lD7pVOC>Hsm1E(I)BOD89PByAyI5=Yn@OxSC0
z_p5)P4u;-;{-;2>^X8C~Fb-&&mH+1?sIJEo3J!qY60L2Mp|d>`A{KAwcj4j`AeDh2
z=VP36C&2Cu6??!!I@x9co2*DZN`(Di{r83=84q)(R&#MxIUhN2AQ-V0T!TB&qhlu`
z!1V{4M`d6P6dpGM!3*|>mV5f^2Sjj9XFlZG*Pa2m7TKkFUeAH@f><DFpcBWB7ma&K
zQlf{?{bAI8Vr(4#lD-ZKN$71WeV-qRhC9nu%!GpH73&E*3UqVLH8mKTDYAL96)+U|
zRzV{Hv<=l68Xi_ekpUtHC<*RYDgF%;$#?D?$Mm^bNG}K`y7SOPXw<`YBPT0sR_wDD
z(1`~Q{+{OND6v8lmJsNiPaw#a?8{MuWF38lbYQYFgJchXnv<}d%v|^Q=A*233{G~W
z2`<G<Mvs@!y8%=I_oa%UDw~@1s0Y>GB0>Vdf6jM2{rxK>U^jk`)1Gfnh*}=r4Er%Y
zAErUW8#Mq^TPy-kf#bY$31vpK9ma#x;?ILUKU~?c8M&)idN6YXVgkd5QVSPzJ*>d!
znkQegWY)I*r=k;(k-6mv8&P>p&5xjd*k*Yfo(i9^vdRHyq#nkvUVMHhRDYmFhC$=G
z_TWZ<EhDW)fF?zti^Es1_Xa%zoISBOQtZD3mEb!<O|L*A>u#uR1z-w(8SJz0=-@Xm
z@Wyw`0GLDV^id*+P0xw6h5<!#)jD<R2dZV*!;0~Q1LZ=UoqHB19i}AQJpjW>8t&t5
zNm?a5Q@m}c>$!HhJAh*1RS{f;>2~<}{vn%$>1I_a^pK}~xD55{J5X`f;1l}y{;zsP
zm;MAvuC(1wT#MDedH0tu&d3pEWo5-2F;r_icji7^sBQNxm-L-rB^KzIOs$>RR-d*M
z6%ynL(DxxCwpwk~zi3jfdn7&JLICab*?~KD!T}s#4`wglm$i+JGk`Wx=ELS)4%UcB
zFE4XC#;&|3prZHp*d!S6qF;W)R_xwSvEKt5JzF@j4`bF5kOIyNOX4mFHjD>JNjZ7q
z1R_9Efl5P$Q<P>$R`xil@yG$|SJ%)$EHPp~KRx#h>ougkSXa)&&;JcFzjf=N;tr0F
zud&>YU6~vuvF8HAjy2bz2E=UEuvl`(si?TM%VQgXt^dU7yHhPFDs%Glwbj)z4URPJ
z0rW;m2N5=^Dy+JV@@G50e0dML@<h6kNHexc3Mf0OP5CcW#)yImE|LNVMe1ttD=4yX
z#DJtcvk+c)Y4RuCX}XPQyOdLU)pc}!80|rW(<~L#3-K%eY^4@xW6)e2e91^)5!7`G
z0{byNvTNY!NYB*9a_m!>1-c8j7AdK((Fim)O5h2_5ehha)#xca$?&BCL@UA`j)^$x
z_d-MKQDR`xV6rZhk?`(*{M1I)8+aNBvWXZy0)3$;0&as;z*aTl2~L5IX%gDK3?yE7
z&lIH%j4$bAk|z-@>@#<71Y?}Y=a0DT0Y(oHl`cYq#eL7KY86(cOUgcsl^FTO%g2XG
zo|!-o*jpV_?hCK%^&xgd1-|<1oqRgeb~ts`XWdK#=i+NV{tYA^4UeX}`qAxcFe1=e
z86_+W@!V@t<8=(e@(@!%P%(p|bQw(B_(kuDzL4M;_|y>Oi{c)&>pm5gF$eLe;9w=4
zM~IVbPJUP`F#glMb9|LA#d50sEPGK-2m>)ya{Akm^ytAQM8Vso>aLqj8HqP`E>rs`
zTh$3-M~x@@P>u${#x=hBT7dR9kq#>x1zO^YBEy-DI}ohjbw(w)FH%ySU@Q8%OUKtv
zi?FoZZS(4u$gAVT_N>U2i6Pa;OpIcg8@ChGhr6%8ex1-k5Ydqwy+Uz^c0{);!E#dL
zvf^aQ?@s<uas122*pp_G#F6xFhYdU4Z{I+?7Rr@1yj@KY;>@wTZa!k5@<nN>O&DGg
zfU9JHi#;O6b1%(ZT~(UW^Y6uEq&*EO1kaS8`Q^}!NC0#Bu{Aw@IT2AGd*34BZ3Z#-
zYjc=gZdHJ+m{Q3@qE29%J$d)uNdkiwp2mC|;j+2?HiB;~);0YFF`{$j4BHK#{p>{D
zo57Hj-~6(~6DzZqPkSv7vF&+%yH`2m<M4y2dxG@H22hmo=^84z(plW8qd2R0RQFwF
zIvtfyRo2_G_^dH(X8oT$yPS@Xb8MMh^2nF_(dt`!Rt;s!?6S+)%~usSKU2xrwtTXG
z%YGV3$)HdDJ3l#4Ivbz*%Z>DfaXlhBpXG0*$s9N-OepzLdRZ2xr=)(U>|94j@cf!L
zOW(Psvx8MF?3NIrCf?y627rxl45tW~Sg;Vwd*3~EI!m9U)_M2kdiFJ2@@STS;iqZH
zq?4v4v@eW%ePnE=EtRlgWLNO+q9<b8-WeOYUAeo5=GA2lf*QFh`K82Cbv93$O)Xsa
zeTQ0tqXMHH_S0w&-*?SeNIYOzMG#6qUZvH43Xxi1H#^K3Ow@YJv}*sRlpfU<ZfgJe
zf`3O3eSw9pzlHmHLd*2k_@;YP>0h*j+G&LdqO?-V<)RcJ@26L4c6qj9+-GXZnDKnU
z;Wh)h=EqNZJ~Ot?J2o<AHdU+;`zc)d%64_Ha9%ZMq~I}DMuKS9U9TJQR(Rm)efjU3
z9h1$?2?|JG18r{p)5V5cs6O&l^oPZ^goV|N2iYvtt6BP;`*gTug-gWTGlC!*!yW1i
zrxSjk=~<8oG8wXAAiQtrIkBHN+4=K@VUcgvhbxAj%NU3!FBV!Q7zvr_Jz=#pZt}k_
zu<q=j5X1nB?vJS#gIl^{D4Q<sevA$STP2#!^!#Nw2sXC|3=E93dYn17eNDRA+uGWK
z++1NHA-w|!t_B8nm*`?2TY_`EYh`2ap;@0@BmXuIF}<aomERTKq27XknIFPwgdhP2
zK`#hO3~e?IIk6E1LbbK{{^thA`FfLk030o;Z2njog~J|#hIen@hDJmLUAy*Wckg-S
z?<oRrDPeJsY6Yf@^&v0%(|pwRZbd>A&TumC6@CVX_%wY+qkUszvHb<$O!STREn@(K
z`U4a@=nsfT3LZb^xTU@4+|En67y!O-_UX1qwaHgvKKyyTNj2~k66=Cg?w6I97ew}=
zr{E>0@qYZq0<xv{L@tiTXE~8fcjJeld*|gj%{7GvFMse<qt@h9hLD(;7_N<`wsvAe
zKR~B=@SpawC|1=w@j~30yFb(XyE-X{$jR#W-=AH6RE5cR2QIi8)j!?`$v!9meg+1&
zPC~}95SpGY+InUiW?)aqVUI_0NZ6Ur(1gdv#a*&~oSnVtri}ZLQH;kABj3WM?w$W~
zFB9~an%=WtaP_!Qe7dn~1X8FUuF!;_%*yH5#ftk$SZ-f~LQy^nEEUug6rRnSyCC|Z
zNkA)rtg5~Hv9qHqLQ|r3|2?eRALTJE&)5^yGjST24NjgBo6h;;cWEd4RX&_k{d>DN
zH435igvx?2!Zb~ko~ZHc?d)Kz2j>FM0opvC`OPTCh*E2DP#_wbnzyz1!zv#XR^zag
zmXNT{ZAHrqSPMju)%G>u;Lvk`VL_=}*U+#FU`FL9oUKDcKGQ$Uh>_`OZoH)Lp0kl%
zPHm61@yV-CpcVkG)c57p6*Qz^z|nYu5!@jq^(|hzE@ReJY%ZJm-?BN7*5~T=x6#Jo
z2c!`zL)XmY$?3a~A5TFrd^W%cKPD#a&pgDCJjKg<k=G9%1?z)_p`m)HxnLTHqzT{;
zTwVv~uV|<{*T`q2r9JZuJ7azpe`&w+GYoHlK{WP*k-|v`a0F{-8Y*J=;x@5382T1+
z-YESu33pNt95_bO!<i3s36%#pF`V-}JUp8=o!e!qq(lU%K<l%HlzO<3xk(Jm$RO#c
zD2SczzdwoAh?WY6#X3${uzuLCR_@z!OTxAu)TX?G0<eI7*TSTvZ@9tuKqydzw<`vz
z1Y+{(vSpb5a4R-;y*~rQU-(?4XbR36=%&I#Lhd&7qx40kWC~aYSLdlef8Q+>q|oJK
zK*Sa_gZO7xIWukTAfGC<`GLJgPjn9?Y&*B*@AF>-3(*Zk(gG8Rs7KBd#Ox3atXuc-
z)2Da-edKUIBq{H4v_XIi@&u$2z=28%*b8(`Xu*YYi;L&Wo#+N0ntV9Be6Cj*VhusT
ztBStpENG&xBJ>tAvxvEVv;}x?U^u3x-fTfCXa4A-R+w|6c9V+vd^nvxEI4?CwAYNU
z<jcJ}dG4_Jy=L=*j7uBN{;6%ulacuh_Y6`QP_)68@)Md1U`DtHXd;2O2%VlKeU=D1
zMqn`{`y{$ZU|IdGAdT=T068K17h1I4o`+E4alTmor*b+_i#x=RGHgW8%d4<-0zw)L
z0I5GoqSb&%f;4caxzQ=XGd6Rj1AY{s9cV0*@7+_@I~|Ib@U{B)XbrS-h#1vn%mHLa
zdr6R}BZ{ivEg?T0TXQZA6k!R?PMlu3>(3Wz=fjeTZIg%7{k^8Tni^*1em&N-WK!IL
zZTO?&J$VU0ef;_e%`HDAqa1hf-(`sZ4rRyCVfZmFD*FH1&6OvTgX0FCCB4DpEk~DJ
z_jjdk!+PSaOV;Inuen5?iTQ5)Nfc++TU0h;wargN>`5`pqP<D(%Z<-)zk-#pI`F(q
zA7;3#i!tS|KYlEHW`FL0swLy!g4hG2<#^9wr$nFT?sWXXaO1n7&g^!kNtY)K|9%5~
z+@@deaH$??o)Sa`0U^SXrupMCF14f#&Ei`L3)jZV?nD3!6l%aq5!Elh)<`7s$rH6U
zua%_mq11BwIxa4_fC_Umn0(h`c|d#sffSTnAoV{RutdM=Ipw*n#=r0BVzJ)R`q(k1
zxOjI=_0-4+xu*g10G5k`4`Q7HhgK^Ghj%!*N@AWql_j>{eus_&NEvoCYjJ0#jlPeu
zyzgdaD%v%sp!tB;4w&^QD)Y}~TQBZAzqtNX_wVQ1z1t6Tgcko9;3|;c9wu4(!&1`H
z7DZlesD7XQI02Bt)^-U2dI1N8t6ZE;@=YX-bvJJCT@r09YW6GHOgDMC6+wkA06Ygd
z9~ovI2dNuc_iH!&I~KegBOcW*Y60&5AD`puKYLCmo+Wnn??xwaIsv}Kvk0N;<>czS
zwUM`O-9ihE%?)QaKy<*VXbK>SL!-t-08uu9)YGG7#a*e+b$=hPjkbRk4D9jcXzDBO
z+(X(S!ej6=5(AYU2|K+UpZMP9K|a6*r&h<a+&%RGX<?k4<#D*Y<aUPu3Mk>gPQa}K
zI6(K%q1<P7R}aMeyGvMT-Yn~7w)67R5!jD#&NO~*+M~8+{o=9YtM}b3e?A*WNeKE&
zyXj`SO<(@&Z_|*e8iqxx{pY{$?pSeFJzI|Wuu|sSzU~fGkvXlg9Rn3N-6Qu(s!3!H
zZ6M^MezGQKNf1iz>Y~@0vTqTDlPo8r#N;N*lArI1kv2PZcHcv~wA7rB;_M2~-D!wb
zO@Sr;`$P%(^sno~?L;c+sA+B+c~iIke9<3re0Uv2=`nSDOe2MrLd|)r!k$=l#!veF
zu}X^4>a=V70^21C!Yo$h-rlAM6rPgv4LwhK<cR})ht%&$Z>*%D2IQ>0Hjr9LDeWk5
zQIjZ9T1U9%$?86Dkl#S8S~D@7+0LdzuRlO^`ip5j71rhK)z?j$xlo|0k+h1?k}%*s
zNWYewIBQnX`YJcIcr9VgCo5)X#=Mm1>x$={olVdnPUnjAyx+ORn8<QISTfzzoj2O_
z+m5I^6vFpD?n)EIvi|is-U0djG=!gj^~2{G0jP)9(%jqLSN_mlXIn4*dRb*IVx!_#
zHa!hh({pr5AC?o;TQRYsp8c*neweOZuFpV?URRSQx@E6Z?(Spn+|(`mlxj*idWKK+
zu}QM~#-P-%u8yTWJIf_VQF3!T7URJ{4GzR8q7+R^DZx_1<rn)<YKeY}G^NGD_26*@
z;z5xJ-}~YmSK?N8wWr~yCkvNT3Ggp!w51QvECdTyCOxe1To{&*T1p&CpHSB~yw6HB
zN;@y#yt#F3&G0^qBm3aAxsB&wGTZ2SRei0E^%}OTJH6rt2V*Fu^S@`S*Pe<kdA6f4
zKv^j3!_D!ZLTQe4)Pl0u%y3a@N_z<lVfo@+@yPsfI%-hh8=BHGn^^z(7-JS*CC(^%
z>IkPCubtH$x+C4J8!eVTR4bSL$VE{aig0D;8*ZBQs_9Vk+at*|>&o_4L!3BZey}!9
z%~w#ZRVpNgpe|6xo_2;uKjt@`IQ$`Vp>rqS^G9EP)vgK&G1j5E=kvjH-Tq>}nW|Z>
z1!iJ%jl977FRvtsPGh?rwF&~)hgpfy0=kyS#;{cLa-RaJOI~b*#7^0SkX;@fL`R3n
zq_g0*hxEjT4fH?W^`z4fU%yTgpd4k(cPZRoMm$m-3=y=IoXmg3Bd~-x9>MbI_T7jA
z#>r}>cr}A(W=XPViYIE#eO~yk99zpsJ#hky$L>t=bcHn6WPHaNiM1yFwP7XUqJFUj
zbz_Qah&y#x#`S_rtOm9ynQtDj(>X=I<YY<}t<vN#{}tDl84x_*>3f$R-n(}r5zyg(
zJ6Ld%VT+S&s;F4Izvz~WyUzjbWxwM!#^f9S-=5$&dCyQfcsvUW_?ebm`Ma-fx>zUB
zB-&dlz{|^|MY@9XY*&&4Ds&LLFWlC;6KbrwlX<mv((_;k)&;?Nz5RWl&*k(!_J3#Y
ztTKj(Obxc&R6%`}2ZiM0$aGA;5)?cMJ05Bdl$Vm?;>=7;YP!0dw{E|%M0_H&Uq~Wc
zix31rs&C(7BxWZBh^Vu_r*7VGYAJ!qyQJhBhB$1W@WeGVjAPeR9xF)uiJs%Za)c+*
z>;$M7Yn_#s_XvTiMrEMFZ5^H6+*TXy2)K322<HR#;wk7d;i1TH_BmG+y?o+^*Jf}u
zIATO$sKi-@xnX!&VA{RN>O~d*>B9#mg0v(;bYJ)^+TtpdUiBv>%sw|C-sNYz+t^#N
zL-KFMmSTop?Dw~7t}mW&eeZz$YHZBEz!JDBeq<1qigGzBic@zU9PudkssvQDadEx_
zjazMOdSOF=vR;Ry-^i5c1g{L?mh@^k(UB6Tg)RdT#UQR{#tRC5DrdD0K`4$1&fEmj
z*tkIxi-~o73CM@EJ*9e9-_URY*#R&d>OuqyQX4|>kLMVDTfq(%A?$eGRaW*X?f}w|
z{bz+XHEvtHW9;NiVT4;^fD#Jx;r1o%J0>9TMkxTK8Q%pHLM)QBZf_PA{)Hj|ftxsy
z;2A~bi$-od9Izb%tg^GRFx2{>p&=SMT}{nh&~8KVy3PDKnYw28`?O6!UV$i)g#@{J
zbyzx31Ouq@K~4emdwP2Huq2|YCL!<+pK~7^rqGpw{b41ta&w=Z{z5aY%l<vx=<M0E
zj*jW2jE>M4^Yb$h=)mYt;PPH2>xe9)M`*iX(IlyVa3QGep|-=Y-6X;4em>-(p_70O
zl~m&56JNf}0ALUl>BrXA>Uf1;RWbHK#cGRn<0#@%$x$IFL~%vL%%4BW*BM3)i|!8H
zHS8bYt+d(kfx+BcpE^ax!r{g!_{|w<4Rshqq8Wquu<Pl~v^3I+AfO%Xidqj#fz-{e
zS>u|d#`sas+`JejY67gmGr!-3;0tZ5aCONzv*>6D>))d7JyU!2htfDbh$i%QAdDHQ
zBnhkFeON;yb?0hi9enj>>P_Sc`vS70>EqlKYLi1z#aOTat<h1A%_4*8LJ2MRnl(?r
zR!X(aWbZH@(p@+JqXfd7bQg|XEM&|0d)yC<BJ3+PI@-?0M!<UcX*V~?wN*$tPAtsa
zht*Gt;d%J@F4^1{`;oC#dhOcVXhK3qP;$u`KPYmfP{EAneDeV_`XEe80g2n9!~qi%
zFGv@JijGzHmRpM>FHLP29P4k~So!acPGuLLAfDmE3xb&E-gj|ia*}WSJDNPt$gi|S
zoDLkTPG^?TD$9Rxa7RrC3JBXqKmc=`4v+}McS3amH~E*EwVa%)_ur$BU?5=T{IpAQ
zWbQBo*w9Df@qL6GNu;hp+zzN4W+G%QZjwX`b`9hQ2q?sg0ON-O1X9bWg7cxVu|vJR
zHXtTZs6xO9g$)pN_|?HG6ciMhEy529ZAg^^X%DA3v?P>Gtw=?yvC1YoW1Nb=l;Ev2
zX-HDyYHebq5AK17!HN}aGz4IHIs)J|@a~Z#F0QV4u<58k0}fm>tDl2p5~4^lbC~G-
z`W3+PR=K$L%77&+Hf~%_pnm&q5{u*ZmXEFN*4jjO$Li`6xu8*%3peAVIT>!K<NOAg
zB_}KE0|03dT2L6@)&k@86}Jb>skN1r3(VO<$+5AY0CQKGLMr3K!-;SbAyaenb`Z#j
z7el!UQ7!l_Y`=I;fJECkI(|0sAXCdB7RJ?t(AUY%&I|Gna9&XGZsg=_$xr8jdSpBL
zcrY&L!XOL=Bu{qfa4G>e$6j>i*~d16#m44BcIyx#9<W(B!zYdWIAs@9>7i8I*#&?r
z2JFZf;TU}n>XT4PZUCF{o^Ss?r=`!iUlru#^_1{#+qV0}yEQYXV@t-X;n(2Z`vW^>
zFXxICDDN$0?YxDXqtQp?*e;-Br*Af9l8V{6C(cz!E(vqw+S<H9`@ky$8k09{)qzZO
z&;Nf2k4=hB6eUcsgKG+E7f=QeYhXXYMQ><mz*k4a;4~sd5q}uT(cVD8RmG-;z8LR}
zFjRD_Se)nt2L}g}wPPSPX}Xk7P{CjDX+~zXIxJlph~<Tx&*$FL+rU;}vjT7P9deSs
z@86XdJ3B@)bQ5sMm1S#ltjd_b$gW<sN{#Bx>dqW7(^a<g%QR|pICcz9o)m1odJ3Zl
z&?B1Z?VEUv44SazKd}nvPw@03tOXzB!IwA(KVRP>M6v+qqgaCJgw9@KUAm@Fb2M<o
z;A^kHM=R=LK$aqAZ~R|$eRn*TZ6EiEw6rcnizFhmtV+b4OOb3685JTK6(U=u&_pVk
z(J(^x%BV=l%F0Z#3(4N^_blDd^Sqz;y`F#W=f1gI*Lfc2ar}PY^?UNq+^%Xv91Ca_
zK}o_+Ac?SnoE+!k!J17JRqMmyYkwO}_6%aoCo=e%a2fzwL6HGPzaVVng*jk5_(Vm)
zl8s@zs=XnvsCX7!Aa+`i6Hw&f=Hsz!d4`1uk#_i_N0^OG)xb^<Sp;6_;z$cRM9)H&
zMc}lsWPvbY`Nn*CyL1&f8H|{p5)WVX7a!8Xz5u3&)&pJkMd1t<b8G}pD|em`+7ozO
zTf4|aWJ(lM2!oG4L$*9bVPt+VJ~(0osmI(_)+TTcSTN{rTthZUw4!R{h&!&TsqTQb
z8EotBGXr}(b0_X-zZ5r_e~r})kmzTK6xPF`J88(xHP`tE0-X}XhXBK^$I^he&+hUN
zo2z1HSC`_RU>8{`lBVndf)UGCuIyNdDZ_0lDxxPaylSe<`tvK#{#+(NJSL+gMq5h_
z9%uZ#@|QNp_U-R-yG%0PEutl=W9|zR?zofix<zhrdmb4{_MQYbA=XOjFdj*012w8~
zog{|vX5FB!G2^H{J9$9xQ$o7hiJFY`2Zm4{Es6ftDA_m*tpR~qT|E0gI-Dw6g3pf^
z4H>rO$uzbTJQ#3cyuis~M+=d0Kd>*VqOoz`u3c&hZ|b4nhx&dT`vX8A=p8!c<-8|h
z!~s5NgDYog`4TpuIPwLr!b$=d5##U<+;X721ZK^1?Yau+ak<{vgHhEAU&4y9n-LKh
zxCKDe;Pc94dJ->#=?zr{HEV>&L$micXzTP8E<U5zj^w4p`NPT5h<q*_q(~@S7ztmn
zL<kQ=QK;_V3!O(HgY8;q`*uwuB%0AyZfFMYjsc7KykO=GUpxMDM^Xm)%V6}Rq@<P{
zP#NVMuwqDie_}Lztz;tx3gB;rgTO|(0hyeiM#;LPeQWDRw`G*>%8@NQ*Ajrj$hrac
zvno$XfI@}U)k&}ne)!Of>H+#in<2KUhp|wXBEbgF&pAQ51;1tSPb5p?<Hfc`PYEzX
z;o!M77v4#bb1HX!9?pnc58xLC1%zm*03eQ=#7Bl)5d|Rb%9pQ2J40_Q;)c?yC~4p-
zCP*)6<j{Fc^STUo(9WGPh*QNxH9T*Cl~Ku0;TE9)GhtRjAW(Y~ikShZAXZ}x?wdEK
zAUFk$K0Z47GA<4&zzFjWDk%0j{*=z@$)yw?18X-e$-tC=azsY6Hm)RN${>Y_4^{b+
z<U4#)B*-MigR=dQ3+7G6o1R;Jvq&%H%xc}GUxcvP;Q2=J1nL&Pz^Ulmi8E)E8s?`Q
zwdD){r8&?7kh!fm^WMKdBoT~*4kzuZA)b(%S04Aasq)T;is;SMs`Xh_uv^&h-+>e0
zT!YXrIl9Kd3Z!)_DU~%h=R`*<6pmjK{ILiSOTmyxG9o*UqR6n)c>~F+khu8R!u-$z
zqK-<MRIufuP6S7c9C%s}SjBj^XV^*3VUq-0RAMp@A!npib{Z#}IfMADw!Xf=F1o;q
zk(;tNf`xbNxP-8ZPbK-TGwIMD6$m-q;D0Z;W5@N7C)}mu_W0~vt#|QIqo^wn*~dgq
zd4;XVtMXG%17KYpon-`oTSqmijt8Nk$`wY-SFZ*l8;4Q{gGbYJ<ehcGH0Pk{s12zf
z4j*i5T5DE&!eH|B*qT(R>N+qs7rGC0QBWN$e7&(10@)9$me^+3o2IEh{JT3;%B?x-
zd-v{(;cYol_>T8_(cxS!#de1MD$i*w7KIStS@ax0a6Kn@qHnWH>lI2uc^MECry3^J
zchql9sytHiEmwvH1?}t{tFEu_-l{Tmegv~9uuql5wgNWG%*qm%koeWvceIEX&mbKk
z89LwU@FnfRjc^nlfV^STIy9b8_VMGY6)PyYdkM^`CC4@6ILgPAy{IT-=b43GhVjW^
zW5)JImN0XxH7e(#gGM4lUVIq9IY&G5vGywk7QTbN4$s$<pFA%QB}heC+4d7>u<OWE
zsouwi6BaSqZA%bM!hKT)MT>w_42moB9;cx-%oK7Q8F3z^(7Y1BWv<XpikEl!i<&-!
z$|96|85yJE=;Y)d(3bt`G`6eVyLS`2aM0X|PiajuUbgRv6Dk@LJ<nbo)&L|?a`-)Z
z)Qj10f^@ffMXArvctl+O^(P*_NBH2ObX@_K1#T!!B}3N`Kp_WWmj;)!I3`PO)WP3;
z>+b$TmVeUc=FMgF^nP304f9+SpD~=ZX?Xh=15ZI@H%~mr_5$GL+tuflD<)Aq0sf|u
zMK6m$;%%qdFk_|UjMiI+NQ)GO;wI2Ls|fska6lcGk3e7<w3`3?I}5h~i@f{yYcX#j
zZ>oDUk%@{H^QntR!heLm{0x`Q2b(Qyd*?&JitN~a4RQjI88$Y<@G6H$UDm)dgCY%s
zi*UTK#a%yN{_;V>+{kV|AKp%$ZG`uoJKZW~Nyo8tzAkKJXcOjvB4L&Zq>a`Gry!V&
z>Q$^06BAi8w;P;4zpGMz0%rzPo9hT@)T3*fa-OcofkL~#bJfzTN4tCGeUufPb6Ea@
zu3^}%g3}M`>u(`o{#QVA8j6g-PjB-t1{a+c1Sz(AH-$jY!pXx^>?$rKq;irTXf^yl
ziV_ArjT(8m@{;u|$V~%ZN?U+tICG&a=gE^(FboqBn1w2;o=#WJs&ME~H&nJzo)hcV
zukS*J+^1hQ%aZBVe>>D&2}N?+#H53DTU#57hov6aCH%TZ2Sm^jgNdl_8+D!-bbWn5
zs{bGK0&r3jC*g`hb%{zjF(w8K0@=Gl4TV&($(xWM(GdY9SpQJ$nu?J8UH@9#;?}CF
zdtl!#U!Izo`2s5F%}G4(FzR6dG=yas6*UBcO=?0*U7gGWgdG#(bI_b!eKU!I4034H
zkyxw1)IX)gWB<U&nRZZc03p;7Fo1wVM08`)2c&Z>H|1Z{WaSrM%gA8(y8Gg9<}p{^
z-aZY_5`=P)#h{%v7i%JGc8q#So~(KI&KOv@lsvX9tP6Av5P{<CSA0=}Di&KbS?G)#
zr$E<cYx~{AZ;jfqV{JH_a6M5L?obKYuw{#-x%ni<bf8Z2@3w5s4m3L)w?-^q90DsS
zhDnMSoj=wf(hT5yJ6ca~7jgPNz=h<a4b9ELA9oLK*u6Um6qPId@AwG&9R`0C>?LJ=
zfR(@zTmT3TsTnDV>C{<KyC1g%Qd^jfQ6&CmC1t|1Q_p`rh~o_zg2T*!D1Z;W1_Xid
zwKTSO7>6`B+NVjVX=q@J#K=Vy-Gew9K~0t}sG-IQV@At{4?jJLxuUPRw{K@!zg`@1
zL_#(gg)oSnbjpDdvpNvMx6a<hAQ%<;UjRWKfH`@6u3z3Mw#f=AHVENZGsVF1y5fAJ
z9qLA(2R=?{=O>z*EP|!w<*jfdo<1E31yi6(R5g^?OA^?6Wk*hs1qUL#aFH-hWD;8`
zE?I5;G+XqBf9#DVrQE|h`ueh<I6#fHb?<o&6k?+(OLw9=M;(pd#f*8HzIP1a;kWWE
zF~Wwlbt4fE9UizCJf<k95gkA}@8{<Q2>^S5PoOpi-2}bRhz&<#RFo|`K13{{Np8z`
z&wu*#T8Rnzn9Z9vHzR~ICkHcoZ!M&wVh6KI&IHD8y>ZobjITg~I2a6LbMwz#@yo%N
zid)p85JkM6{%>-aPf$=AwK~Q)A-oB}b!l<A2K0*zf37?r2MCTCk-iS20%-IH4_L6)
z@xw6DoPr~g_9kj8G6xKbzse6E5W5x|AFr*ZhJeO==*|&0QS!37g0=4zgc$oIC2?W^
z_QSav6C10it4qIR3BISD;)s_fyrwt=F$fJ(I?@Qi%{}&IVLpRy{q{#kyK&Kpg4)_q
zq;m|)x@H2-gu(!7!-n5el7j_)*$4x_!*3#GWZ>(&8!+4B<bfKu-=xU<3`>sE;MD`y
zBghxW{3!lAgMM-z$-VOH{CWX4Tc`b}xYwbmtjtXBWSt^xcaTY_zD0c$A0N_FKXoiR
zCI)01UTISTk>%r;RxFk@uId|B9Xj_A&Iw4T@uKE8-$TKOUJxM9UA?E`2b&HirKEgg
z?_!ChD@UN^gP(8C0}cS-p>pgNxHep_{#aickKo|VjTbzE3k+8~40#u$XO<a%uD^U+
z_17Jj7KI7d)Yf|Z#f3o|E{hnhjQc%b9OAaSJqImLHMCWkK04OW_Om9!et1n+<muo`
zmA2|VU;ov>ZL6hQWGu<I?5A0T0!YSnjBvcQ<&UhbH^Aadnw`V?b^U(-;?v|$|L6Z?
zzv<G`+atYEmGgVdfBx-%|H!D~S8!*NOAr4Qb1Z+tPW)BWY{NIH8r(UW`mx5~1l_o-
zs%PJVLoYjV%`LdtC*?5_kzT357+_OEL(CW*`0V-*$-0P%b<(u+=qNLm3kA@47>&1W
zs|GZ*m%fmjCgPxzn2+mBnapfmW^$Nl?hEFRgsieiAoZ@)E?N)Go+Zqb(5PGrQD~^h
zn)_kcKBTEae}W*yYP%G)<P6w}uxBg*z4zW&5I^H=*82#_JXu1Bh}bb2d@Wt^LFqoN
zhwDi}AHznjHN^P2;|KY6y(_=AWJ&tm+cQ>-=XDJV+{K-4E?sf$i{?^~A5tn~>@rgv
zBYn58Di(}9d`PTI(e|PS>va;c4~|hI$KxIo?Lz~a*J@b^KGuD-9{2rM`5al(Rr{)I
zH62knU3xK6+n(S!#L83cU=v3~Jo6dRsC`&_@r&kBjgT2WpL$l?U-!)XsHHg*x3xD!
ztRm`kySVtGwyDyJ>vj<l)=w&9#^W@Ib?)v=EA}Z8<}agp)UWcF9DF?c^6B*@T3x|3
zvMQ1HN6hsk93=XMAHQx-T2Syew>J<aK5iU&Ol95D$3Sch3R$^z1^Y5$LUixl$+<$!
zZQ?<@@?;1{)eW+dJRK<n$9a(+I$j}(V+y*&hj=T(BeHZUqqs)g5`w#XhUbU^t?cZH
z3Z8?<j?faR%=?B08aH=j**ts6MMrcE85O`-xX=E4li*X@1zn09?b11B8V;Te{~5k9
zuK**p)%rHIJNe75Whilc9WsgCq4OY+kS!}Y$HkY|dF^L&`ctcA#EtVz>ix2Y&(7@V
zQA&LN+;65otY8Ik{yTk-(vAUfI%0hCE{j`b>HDLMYL2#H`$OmUZYBz)TK5fGEG1-Z
z-z~fRDMi6U;v%R|=^nWy&}tHlA^GRV<5m&Jr%#Lc<T;jHeixAFbg5rSB_?|ZLAYwG
zq{glx%;!?~?%BypLpUyY72LVJia0&U!qwy-LPLlNa;xa-DiSAoOkXD&x)Ue!Po1}T
z_;$)n$>|9{@v3I;R&F(If^ZC9z0`srlzm6CjC+{rh^l=Hyf<|duGS|-x_3zFY10s&
zy@nRlqpVe4FC3)Pjd5RKB{tL%vYU+yFOQDwA*$ZCyF?c)Jx51~<uBauSkk}OW~qiR
zGY#?BVk>b{Q)k)5`9@Qjipbbygyk=beD~qTTNcE+8Q&56!=lGIpC<jdBF9xwJG+VC
zTFGuJ)C<P9^T1c?vwdHlRjDx$9EnFyPl+TD5uwgMU02_LjoP;D!H-la;^ZFDeO6od
zGZGPABb1Xp`SipMCZhn}sUez~lNBF|KTw*8S6$5$!fu12Dze5L1^Gj&(Y#9tweQ6~
z{th<pX52Lk3uy}6qQrVAG`a-w>qtw`*~cj-T<ys{=fEO{wtU;DqIk-AR=aDGw2KN2
zQr;v@{H;HqLV-?-*{X3^=Hv(wq=Z0hld_9<rovw>00{MW4rst+kO&PB0ZqAyiHX8@
z{{Sz+Epp4B7}77k@smNs;-1C4$JR92<xeU%En-toD!s2?e~)b!zLo48&fe`7XVUEk
z!UwI_S!gfo?uOA6nirfMVWX&z5TlF{KyY6{!9b4jV3(GJN(4SGr8ogb&w>6~>Qjlo
zyKcW5+Dd5a#P{q0RYvCl^+j<}k-Y=rvcqp8HxoR?qy5h??+IrTl51MP`2dwAM_&)d
zHoy4WMb*whnheCgx#GsU{y_8^G?+Q}8KEplQ9z}Qa|s<1vLqHz>cAfW*%ca$;K79M
z!#DmyGdJ-ez&3$30TPZ%6`70Bj{L*Vbgc1zas8lI7H7_2%D0w=2IsUK#LGC@fG4B1
z!_T9%MxDYUZ0G`cm5??2!QK(34I7SYYQn-;S2BYS1&rq#z)LVbFvXEZj=OhNkrRs8
z33IVcH;Y!TTJ^(!rF-|{xe=|i7no&YqHsV7S2dbBVArUWASYSzaRDVE46)~5XdOES
z3>yInhat}Jy>kZ%I_4u!;DvxWhbDM#=*bt<?%>h}P%T2Ihw#fLpQTUOZ<V~&{+>&Z
zdsNdGnqP^mB>Lx2)*TI%6o&~D^jm7Gma=mENab|M;?1ghI0VS?>BIq)mB{3Qt_D~Q
z>aG61K3utm+S;G26ecEHJ3H7_lrjEDRn=_Q22|nsh`2#xv0>GFz+}j=^^y@27PbM@
zYbnwE_H75$GC*9=u%hQC^Xg$<#bCsV3r)W3`tSeC+!6{(O2McPP`=@6KY8*MeG(j_
z3h7Y8;LE`?NR}!8{PPBkF5Y3*fhjo=(Q!=(x~i1niOxkJu`(?L_Om*=0>_Zr1Y{3*
z0)Pmt4~&9?F9C@Y1s}oDBKfrb(<d|y8rs@GkELOIMbytSzVY3Qa`~!<7#C=IbO&%@
z@!h-CPn-zm!u5h96mDQFjGwF*@bk8|-&9c7V%-h@`XwSR4oFxEJ{*Kzcu9@o14500
zn*n+O*O2Q1>Bd~T>d~%K2OGpzZ5yqI56H>U5mr$@cq6(|ohRsL9n8){v=T5#t!|_$
zK}Z8mT%)kO6BYZnfdOUvTO}b8X!g=1coe)5kjscxp(6_^s^9wiAN%_se1@@r!0;iC
zx_13KbVo`Gv(4K9OJD#`M}_{eV`xC}a);^<Qc{Q|$Lr(E{@!@jL9l^<h?aPOFH_HT
zfQ;V?tjIuiFxKRY7d+%_PHjgO5d)(`hn~ZtHW0V_U~~?~y}BWm4Gk%2jlOhg9OWm{
zM+kBvEs)VLydfTHIAt_7G|*<@djOTjd`S_^f0gLzE|{6y3vLsS6kLPwo*gqZbQ}Mn
z3p@l}zxtr;sifoRB$g4-E+O7|Pzk*ykTV5EMNC41#&I5OC>~|xykPlb+j^OpSQ(lX
z8(UgmFTu@CLivDykgtL%nlP~gN_ZF$fZQg}8#e&XO$g5wQ2wZ!gj?`NC46>}G|$I@
zXNFMKJpRWQ_XSsIG!dY+^s2g%k?Nq_^A;rE9htPnja5A3?!JHy;@51CNPqd`3#(_%
z65#<uGk~vr-_LK`PCSiepv{3UBI3q~<tFT7=WJ|Lg;2DsLgNTiIFNmOyKqp#KZAu&
zq`%C{(*3=f{PdKOif?`D)NYu1FIfd-fdq$5m6(K;%Tb6_2khDN@K6*I&n$r3YQaM@
zja~<%a^FeM=D}nG!zOg6sNdloy+`I;<5wWK{q+9*4y;u^KHpiF#@ma#PcH+m2~N~a
z<?tph!~$=GHpATsivu0gkAZ=;@XO%2g$E6c!Jkx>fZ?RrSiY~7*v}_^{i5}N%bT2L
zjp+f8(GsIeK|j#5*=ybOXSmem$J$olUJ}4!abdNFLSJEK<Sy7Oz%YN!C<kN~*9D1#
zSy=8aM42J0hudj2`gH|2L?2+IxL}0t?xwdlL15tyw(a+FK9`H98QUDKteV=oI_DQ~
zPv>N260&fw^xDrTEEe>mUUBj9^aPq_=tw;`0>PMMGAn;<kC}YnKw$X6Cq)B-=Oww(
zQX)7PQyCp)<P0<MU51*{Zq6>--AGqiTzuoB|N6{U=7YVWFfw7(Z&84`i3yb!S7}!M
zLmdqNUmfynd)5S%y-O)uy6shppc-=iAeA*XjzVx8$lFT82`~>Po^!yIn_g>!b(52$
zBlhmwx8kF$p)Xo{pW_*Kmn|O5u3tY8&IqZ#S;YAHhWo@Io9YofQGm(_4oq#p_&zBe
zRQ&QTsn@O*s*+<MRAn%R4P*=txdU~T0c``w_}YD89tX&U%Tfo!dGI7{y8S)?0ICwL
zRL<G+M)3f^+{{FH5K*#vQ=z*y@^1j_FDUtt(@sJ|4b;{Bu3RBuu7y{Z|LR94<2}y(
zvu?pP({)YCjejrj_7S~CODJm+LHoV66_=3-UsY}EJUh92#d7_hQ^*?}uYXhZ`_<6!
zu;?@-uAn>IkW=aF?fnS)WM><%Jfi%lKHWmrH^Z%M32`QN2FrhWZ5I@5ZBhm$<>k<h
z2OGnL9|Z<-qs3=pGCp(WefW*06{`1*R>W-O_S$N*b5?vxEIWVc@BXkiDzf_xNE5$&
zI(H=R&2!eiQJ)>@gn1JLLfh9;SR8<E!dMrD2L>u$w!F0mqi;lZFWDV*)YIVfd^mH~
z?hUJ;L?EN26%{dVpslG%@1z7yE=DxJUu6tcP6iTWI%j(rNBCO(Kl0d7ubPI2jI=a*
z4<y_D+A?LRr<aY9U-;|0wCwD}93*cRJr*@vV{eyo9`GW(05YL(PTu<}4t}{>&tu*6
zMK#+iOTtY2V9hd_M7~-Jrdx=M2dcaP=->ofYkU`C3w|qW({;Hmx@UV{l^X0_6h-zo
z;;F_UQhGxTEiFKqy9n$m#@K^aEj30F0{-w-TH3Q}a~vq-?76r&O*OUleUA7o3>*U$
zY6FB2Ko%w;fNlbtW0+xW;NmiigS<&fZVhozP7bCsZ2ypzh~bC?or9AM&k``G<l_R8
zp@Uz)z6o8xhK3E6D<m*bo))D*tpI_&I?OhVa!|SgALp#trr>f6Nqp_&v!YTvdFDFk
zYHeV+o%$1yX?XUW)_|oN5`H}J0Bk-8KRO5-sQ*V`)L>{LGrDU2<qmdqGCLp`GBa~8
zu>trEs-d~LIaob2_gu!QciY!@8X0*w^s{=BKm9NEW}B#G1VcdYVQHji!U#<2%%%Ep
z{-d1g2&&9KUF1u8Av#A#Mxx##wi3@Qr7Npfw75|GXYM1^BcY+KsOTK9eLw~U*sNaz
zac=uMuNVQ$115ymSus5zNx?lyctrn4!rZxKuXRhX6O3+?)6?t+T=v4h3knd4vhDe&
zAbYrQVRz7hs@vyRN|WG&TH;UOhnUO)IyVEn2tFf}%>YGF86yIQi(e&%JE{<SGwEYQ
zFiS!LiaR(g;7{0uP!@oRlyHn*a0ClRPFR5V8V4l!862zt_)y8IC@Zh;vgEl|#d;Rd
zpPghb2wJQaunq`$iGKN#i=hc<+Ehm9xwB_4T)LD8;-A1Q1muGC=5a_ZGqL=CS~N`9
ztKa|vgOxQg`8m%O(DpW{tx-NsOn_2hx%vhV5XAOAckW<7swa|E0f@@Hxw(DIUt(MV
z3MC7ht&;$^5aZUVXtHYqmI+ZHv!65y;M;ZNSCUXwf__N=IsAc{xiB;mW(cgjt}gD=
zV+U?5?1le^7S#s&AE3$(5RXqB&qgF1>TaNlCp0zRh2|p&1R4geEfA5gu<ZDm4p$25
zsb`TWGoji;?S%!5gPXKa+{3}S6W$?bCnxYxNN*&O*sjX$5b-!|mSOz+2-aawSCDO2
zKZ+J^H@vNLsGkARgTlqF!_kasjyOZf(dVoOo?&YSi-nYaZ<IvPd_h2@sR`lK>gCHb
zahWRFCsCJ^f)$iUu&e{C=Gneo4mVg#42rZ2c&bn^xUVTT?D&IdsU@lz7?g`DvJ*IS
zL23}d_1A9L6|ukH%PFe+4EENkrr+Z18G1v`fR88mdCxPhUTE3kiz!ObIl52di(b~i
zX4@=fm?w^66{LMj&e`SvL{$UWpJe?w!t_~a+wB3qzXE-JaBHMK4WA6x{pgOAh=_Ku
z+qg6p<>mB*=ZzAyt<x{7nr4)i3Xa${)O$#){hap%)KQbR)}lPnl$+~hz9t)yVCmOM
z)e(1nywYw3n-x9rK{(o4)NIe=?vIUU$A1*DMs|K-+Dk*Q*xY3G?-?4f`j}MWkU>kV
zxLjcr*HpQ%jpp%nNg}nywW37lI1Ldo{U(!I9tyzY5wyQu%l3+&eHq=8XXbiAkl=NH
zrWmO~YH_Dx?`x*#ixA$5zP1ldrAm3!W3{G6IEh`yE6-N!FB>9cB|7rC^e%RB6RBbs
z?tH47`kruahh{k2iWR%to4V|8?K3m|meM0nsC_A5*4kw9l>3_g!0Q#?W&#TOW8}Pg
zI;R--=2?po=2c&|Ry5WU#Q66<u1nS_2Z#?67w1c(?Y>^icfaP&pq^;<Nv>_H&;AHw
z@v|dy`SY{3M5gV;YM(<dx2_<@1h^RuQl)7!=M#$c`sfNK6H^uJ%ARlyo-p|Qay4;V
zpu(&Wz*?l1Y@rQ0W}rBSZ`h7}=I?9K@p8}qt;N3e@#5FJ8$^z;CQ8e`E2L&Vt)n}0
zLKJq!6|gfBgpL~@m-<Yr-azj9{EgN-i1Ym|GF(jw6LK$$zHq6Do9<lU0w|Gqb+TK5
zakcdP2HdO;7Y463@g*Mga*X@B>ZWN5Vizv7t$%8NVLU^z_N%Y>L`t_~Fm1sQ&w;&a
z6QxcS4{y2dGSl+t5jKUgocNit%IsFrSATAY3tw-WHiUFtD=hT<9_6~Da2@e{nd$PK
zGp6Pvn)O29y-+QG#UKjS1*92as%!R7-Q_DXrZn^#+Fq3}Buq*bwLP~lvt^6lzxVO&
zY&MlAzb$M1>!B+fMXwAE6&`EYsRHC*K-7sXy>nj$a&M}7R{X{Cub>^jeOuX~fp#0=
zab`zcPMn9@-D~ImfV57(QI@UP{ZT(dOiGRk$<Dr=W)H?5PJP5X_CopuStqa+9174V
zLFtAky-6<yvMA6G-+Oz}ob>hgW6wrdv=WjmL$=Isx~Qb0(k&bq7Dmo1g|Z6jVrXQS
zmz0nx)ucWYJtB@-XhM-%nU7W)te578NOj6hyO)A6Mx^~M*2~_UPJ$8%Zg9NN46|<D
zyx%U`Bkc|9Jow6R+8#DAU~?cJYv2LS&`zM#g*GzbM1~3mqV0bNmK&^+HQ(d#a56&!
zJ3i<D#NpWG&4Z7CT8@nu0LESn^#I;9Scp;^Bq=1(*w{i}Y-8iUvhH9j!{W7+Zbrxh
zeBz3k>FE-1ZsN1!%HdZpT)YTRAgcI|iZ7o(W1_|d%$z3fAvJq^JPc_MxOCU9QPtI}
zvCop3W<fz&R?QM1N1^&qr-!i(LB&`LP)dL)fh=d`nl&m%j*z26JUx+-m0z$4ZJ8~~
zoLMsU(>h)q=Ok1qM|X%KYM@-lqv$kl1u`8r5&&u-)gnpI(@BWE!u{O-(>!hsbKm(B
z;1A;dnwQMJf613|*aM{EEyg23WQeXFwiqPo{v4fcuL>vCrENKo*rCb5u05d*QV-oS
z>H31~p+g0wlu^zlLE=$RkU_qi0cPkC2=ss?Mh2h_2vnR~Do8y**E}l@qBto%y<4@1
z2ckIix<C;~tL0vo$ydB=lOTxv5+<SFg|E^))!ktn9kijVt8}I61~&drZRs4_9yx-N
zXS=evV)JAnZrx53mez<G4|otkAnO4IQdrymZ5UxPG_>&Zs~pM$zTKRhk+HEW3E&g|
zI1OFHv551Uh`>zR(Y}hXJpwy-_6-iII1O>4PC1_Mh7YuNuVquJPY%CI-94TpI{9@6
zdu=@yl|4ogpoaov(aJbXL+z^24g{uW@Wu$da~*e3fl~+=>3EJlDhQ~723uV{3E&=3
z5ln)T>)~s&M!(0STcWySxyw_|<*uvlY-Dd8IT=FzWc)7{(Tl6gRUrL%4n{hh`Gkj;
zR}qGRHQB$z8BF5=CG7$?8oOkHkWLD(urTT1MU9`3m}t{r+sw?w1j&b_q*g14S14d}
z(wAr4ZD6^!j&aT6$~B5Wv=#v`CV;G`j6;aXF%h9DsIN~qaNx%hdiipRhbP^#l^<n4
zLD{<`%wP{ja3P2VSmo+XVhZZ&09buY<}N?vIJX3tQ|sr?nWx?@1x5ix4O1EMP?1sf
zSlQqGIm4d|<{lPJdG_1IyKb7g*gn;!bV1$w`k}x7MJOD>A7jEHQGjcdHIadI?Hx3p
zW@RhhoZN-V;_>CdQS{97aV@#i|6>a~c*l%Y9X#aa%lpV|GKg9vaMJ({=)=8y_tq`M
zOYDd6mFK3*<8+Q|YQg{hY0QV%kc*K~{oUOxOiajpt3n|zvPN|qn+{1nTQqD(!E=~4
zp6xcIX>znJOx2L;01J5c_ATgM>_2$kkUg8`I&%qV8?hIBbE9H{=!e$?LCOHO!bw}c
z=L=N)`FVL^Z%&e9%jD&sK{|&7YjXE7^ZnmXG)j-{0_E<P!7uq=xE-RdKWt9hlY_8#
zef<z9?2tf%y$PTe%1e@`$M&0$u!aD<3UsjlXpx@YUfUPQn}_THZc-6Qasl}OTLBu4
zCjna$uoq_L+92{?U^CtESBhl`q{bw__;eC#Cj{7os09jyRVyoDxgE3V6(b<hH@Hh?
zW_Z@8TSa|}2|2jxKL)iAKBH{!=Q7a>9Z_&OU+9lavy>E30_smSx*;}RPAY5qGo4cs
zDcR$y4tthAQC;$P?X3X@vwnRb%ET|PFV_?nK85@ky**B)PCol|eH<q_)|fnYgcgSm
zDe^>V8rf2X+Ia~QP@1)w*a3yYl+I;oCD?8*;Q#s4r(e)GtYM`j#5G}iwpx_zRIy@u
zcWH6)G6Fpt#ylxA;*2Qq7{Qa(Y`+H@$K=oZp?f`f9Z56<X4D-6oYHl@R^J2C%u99G
zZh+-aO4>~T<6XXG_QkOo&9(iql&{&b|9uHvgQ7#f#)y7JtO}L~O*?i4>~U5Nt%q)J
zl3)4D2+=Ov`nc}$q7P8;=%2gvXwhH^_-H<^c7Cd5X52o)d!51O|9Lo{<IH62MaErV
zCe*}?lW6L2cds#nS#J;9rF!f-D+X&oo5EuTRgtdHU`Ge%=~l=H6=^|MbF!Sh4I+63
zTAHg1e2OH-vwL^nQOdULSAx0A!sxy@!?{>xE(Qp%`sQy=LoDnz7fKC4^AlN*wtlM)
zm-$O<dqN-wA;>Bc9eexs$`MlTNREr+*tf3{`&#?sama*mPGZYNN6lAVT>JvZF7XQ8
zB*guEx&P7kbocd@xP~J++S4AG#($fbnBtcZh_)0H5uqi+4Iym0V3h4P=R^vP$noE$
zrI((6cyX2iku!Q(7rAdAs;R4+i&phB-_P)ytDe4PYG$Sx{1Iv_+-EQ|*xAq=5gs5E
zD&5rv8&i02I!Q>3qklkn(&+GT(0`x6Xl$^`;m9c;VFo9UN<aV>8K@|+!!4e_M)`)Q
zeSqr{C($*x$juS$9UYNC=YRabgaQSuDx7GLP@%U(*yV!|r3v(KznEz}AcoNFsS9{E
zM%;st-$X<a62pf%@^+H002IlYFj(~@ZW(_9dy(FW6PwY$Uib!`Wh;i5d@3G1>USrN
ze%rO|e>GSVfL!Z^aJEBQ;=!Y?r-x163C%n{o)fADxMwh=p)deBb7Yd0$)m@~n9zt%
zMn2X%cEDMq-e-~=S77lP*B8C-Y#$J5G<&E@y7N;PApoxFsVViZNTInG(98=_Dp`$T
zpcfbw944i%iqMIp<`V%KpLJ@PuU&-T@+T;<P}6z)e61Zy@LaS53opBU2%rFN78`a$
zlAvfU@7^IKly~9Vdnim$QIQGuaPnZ|Hcn{-X9e-k7=}ZTDq7DI$%ywXtFDHpS`2d8
zmoG^?x3rXxgQMX6`|C2ckjen20p0{blqSm0s;Y?SXl%o9(&V7)cNlnE3uVfi(ozc?
zLO`<+qaIPyhhhr7uEA@^3+H&6)8an7uvD_Cy2X<*0rP*TWG2O){a><?3@d*u9w+Kh
zRa>hMRa>%YS(A1t;>Xgy&`X8{G^2ZOK5=aW0xzM4meC+@)RQn?#2jEyXkj523J#<e
z;nHFWfFHtb8XO#i?0wpOd~m;zZ`1<a<V5>mukzEY9P-B0NJ?Pj^(CtrlOntsUn)dW
z1<s~(Y~uHM%#$Sb;E}?u(=RuuQ;Jxw9%5$rRp=X`)kk}!c4lsO*<3}=Hz|I0w>DuT
zVY4&%-^Aefqu|z!>9TSFWnfan=e~&1$bJg7Smic(Q&5K`Lv9FE8GAL3UnQ$)+?a<L
zP72fvi3afdAjk`McN#~L+i3=2gKTnD;F_&xVZpA5EOvJkp2-g7AGjHPU>*O~(E-h`
z8x)b?Vt{!e=@1mp(O?PqueH)YAk!S#_cLT|)Y%E7`7vDAK|x5OTEi}diIc(J*js*l
z|6V47|NPTY>O!MK+vT3K4`<a@u{k0K2CsW0VY6->M_BJ}D7CPrahO@E6yur$9MlV$
z0`i1aqjU7=M<}rZV_YEN#zWh&aW_CQgd1XbMiP$OB6@UH`*17{b8Z3z30h_z#>4T!
z*8L#)cm_c(<RTH#e<#QlARc(3lK@s45Hc3v4N=)1(^6)MIxok&_+9)*KryF7ZJ`Ut
zw}reMl?i-V@NZq{2HG#3q^L@Nm-El3FEB>FEV`R-8EsDd!153chlL>}72=J94B2zA
zYIGuw0s(&uKz49X@En6Fwy?BZ#lXNXEbM-|3uw&C32S5H6zGWY$AG9{djrh2WZ5$Q
z=xs<|!xWs7l0JkB;==={1)PHt37aTjAXZi97#wDsoY(Y%)P@Wd2Px`|=FAItGd37u
zt|Rw9YXYqt)TQ23PDGkw0|7pWak9IlrROlb6(V=Ekpd@hwQ+)yvPDjjJ$v#6PeJLY
zYWYd?Z0Po%+voN(Rp0r%urr|1tjIV+aq^>jDo6j#uHLHa-qtT3@_tCMtv(^JZtqa`
z70Z2Ds`DYQwG3UGnW{_jMYx#u=bFByZAf5ctPY!N;L6zXQOJ}goOgScy~@I1=g6Lq
zr%Rowg-C9XJXa%Q;#ukIwvAK#u8;s<tfMUTeudz(ced%<Iq4?u=nG~aqKYcjX8+X!
z)OLS+ZhB@(|J?z(0v=8$HE!MdP8DlShFe_cST>k5`3-KkTU^T6*AvJ{84_H^Qa9zW
zl`?#N%uHQ$nJ8z6{rBe|w~b7-thF7xo9N>-=#qX#!|GP*@rb9XdLjnHIiqn^?9|lL
zHJ2MX%L5tn6}zXUr{;MTjaj*5!hU{!r!{Xoq_{&Ry!{AO#ww2^gKyY*=rZqt@I;@d
zq7z(EQ9VX3r_aQ2o|fxQ&ag{piLcx#K5&3C{Oo|P^3w#H6(j5vze-MJ7HyXm>y34`
z8Ev(eOqjfO!v93Pz?hE$NBe>OK@MeM`ro3CjOPc%tf90DJMyMUJ9+M>=!%7$tUgk%
zLS-IyerDp#_%<tF)TN%+cHOVx?DH}Mo7eM*J=0~XKDlggPG&OLf-~D_;=oOnzNxho
z^*&>xOJy#>d8c1*rTF#I><Pd8@vVdRhvU+><+o3)r>MWxA6y?(XUoYM+j)ocl%J4}
zV%t7WPJ=;>_7Q1Hwfe=LWI=Tv&TyOiPP5vx2a5$ow?`WFIGn7eP+s`(o}xJ1J>BWX
z&vI}2BwyZ@q>ck4)XG=dk|P-{WA$e9DQj<kZUoY6BSX~b+zo6ta>i1|YzIjInGaYd
zbUM%vg2IK5hP062Oeicao|&9{rHsXi3Iy#mWC_@9HzQi3qck65J+iYg-QXQqpqn{w
z;G{s0N#-(Os<bUVS$|~MU^39zOPggVU@$B2xYX69!Iubj79FkH>vKrQ#H)na*!UX&
z3XmowZ-z$#+hVY!Jzw*ESeQ?oDC-%)U|Up@x{<lRU$9Abu;p@X@I(X_`8tc%jd`MN
zV|vp;bWack7Unv<fA{WctE3w?q@p^Q0)f~tR)ZGWIhZSouL9||y1vWTw_Y7>`)jgn
z%_OGTHg7(0Z2XqYRUE%i+%r}KhAr~396JI}WP_QXf?Yd8ukdQ$4QmkwRcQEhJmW61
zO)s$qx2UOai(cIMslEkQ$i@RMnOBmf*ljSusXP!81z<7{TKT?X=LFS&-^55JgxI1t
z#|ssYAf+|)f?P;EfE_C2&J;$*i$h_vIm|{$^_Ll>fB#KFN)+T$Nn`CsbYU#e^4=GG
zn|@43r_9>_J|@}F!oYRE)dE~#RMg1NC!;B6Z=sKAdGixox1x4i2&!TzUQ$jFozTI0
z?ri~x3NVJmp2_p}fgsRmd@NM^W5dH|o73a}b8Xcw1BAwTx=F;u8&@8vh#D_C?g5<r
z*c@G4q;eRvO3@TtmI|w-?Y_ul<PRwUVmGXi352&qiy_5+xA>buCWrepqq%8+|0bg!
z`40|69P_T!5vz|o8P|Dj;3DXFMnBBUvkgR<T&k?|N-@MxUHysU5I9oRqeq!ndZ9=_
zh0Mpx3vi#}Lq+Z?0H<2J=GULeG_VByzV>!ms%3T#ZdppnxC!ffXZl^VYjNo!-Xg*U
zp3!8)g2c$2z(vFh=K%7FoRA}r;kOc8Tu+~E+KHIVm)MjATUQe1G%r&Oa6}s!31_UW
zbeg;<zDGn@D01@D7_=g=uW;(+T(UAZkFGtIRarSQH7lG)hRWw<qDh6S8}4Nc#JdmE
zI};OWO4mo?=Xx3TyOiH2t+qB$c+6miB^usOh^$eik$ff24ZvThazEe+l$q|`4q6-;
zSd|B6UOwB*AC4mn0VpDId+21p7j$Pc`B42;gKy#_5^qrAi3DSxW&DG5CBA&Uk5%|0
z|F2h5{ZA3-&BqIv5S&mZ>=XE5GWpjVbwvusG}Fr)F8#Bjwd(N4@sX)in5}SrgE?Ur
zJ#!SO9;Qsy1Jj302;f&6PBZvOjvU(y)(W59v|hta1r{H2FcP>R!1?H*JI+E%DLy<p
zYNFaO)SRJuiGTApn>z|z{yE8#{M_r7!&4O#;i$bn<7di`tMX7%;e6EmeEtr6VNlT^
zIEP}8Kfj>l%HVa7)52WMBDB`*`Wh+RM~@?zI#r9yd6bHC8P~}h6m*Lv%4QOP#4JA%
z`;|**Q5g+OX$#-Qcygpv-M(F3)<$_9*8hF8A-U){99N<?fRt)`Bw#XZ35wRpr88R_
z$-m2e-X+Gl6~VXZSQnh2l2{Y#g&sQAWuvVx8AUk@5<C?I7#}>-*IU+H##5T3EPIh}
zKZ_6)*fBBcF3T(F{?t-|qc8v^6+mo`5aN!H*a=H(cRDcUpnGG#i)k`PsVGQ*Gve8=
zud2d6fJ!S1HY!VLfB6KX`~x`pG3)?MBfYIAO+m0RrexE40zFGbzl*X3@^L|aetc;o
z6jLy@F-vJ%TUv%ZeAs~NfLa7QBP%9}Ba#Zkz}(<+Kr|Viaps|h*4EHD>%ABW3>Fo2
zAS(M1N&8r&w*$<(7rNdZjQ}nu_Qic}vyPa;j!gpl25KR4WKdNV$GYW^+Y|;NRr4Pz
zs9ZE*2$_Qp1~2!obiaBF=y0E+!_Y_KHyQn4BgYptELXvj>iZ4<pi9w&yeTx4)IcDA
z0-tt|PABYU=$gJ@bwO#5uWh{j48t<w;)M%jl#(n*Cd$f_Cr?7&hKCP^VjM6iuu2D2
z9+tJVxWFci!hd3HOnlcaOc>mVLj`JbgzI8Rm6eT6qGLX-XFE3i>Z&S$cWW6KQgGE9
z8XzViOG2!BI17bObOQSWcG%X|223AY7LErjcs#esYP{&~qa3FsIUxhIb#UN`L_7o_
z0<1MpSu#V}OzLpC>@s$IbJ;QE6FiW9*M~F|i}6R{;aeFQJ32e<U_3yndF9F#2%%u3
z#NmRixXjfu@71gGf5tLF*pLsm44_{ae8(*G7>L9ySP5V4cM=c~xOVVKTG|*WL0moD
zsOU^wjCSyhv~+Y>30?=EKne(24BHh5-oQp1)Qk8@AcVSGo6(R~Rtm!*G+0N5Dgh0G
z!5KEd1TQc8@X7`#8ZTT30{0KRUh779@i$PAm5;^C8XI*HIMOFNZ1?IGU|zzbzvSab
z6Pl9Y@Q1O$YH&=znjs+~a(XBF5lpSaD?T<B(t`>}%bxlI6M*U@RNA>7I-h5D15IOf
zsVs)J$Ft__)5%`%T>XdE&febWlR*wy0iWPt!|Ox&7o5RaDVfkk@mmLiS^q(Qc*+2B
zn-78qu*2ZEQF@N124k*vPAzAoz%B`(53ij;3mYToe(&^7I3bS94&GA6iG^%74If}M
zJ9g}-OsPS8<m)_i6pc6nDM&2~1f`(yOC-+V_`~^65K=rX2gx_7YJvmA&Myh{Ku=6S
z@we3*MW_;?@dSd`9)^Snr1@0#$P8N_CkQom$)EUnA{JhD2?36@kWXdCs4*NY%!j3C
zJ94IrUdG3x1u?qx4jG+W7M~4vG%qZf$Tt6hpyu=H0a($j$;I8rJeXeSXlW@}IbE*V
z>xp{7#wBS%Z`y+}q%7{xcXM*~hgb4MLQI(VSQ=e}nza-D8Uyd~?2QCrxcu*rB_vqm
zVDm=gSs#v(#FJzrm2CWj>jHzv<a2ylN5!h&6_c7G4%E}0kj#KKewe!-aoL!^(l|;U
zZWwWk9oD7M3P1kt$)8K>56TD<4If^>QN_i8c~q^_u_>~q6{9^@Di4BMAq~3<lOHIP
z7Wx6AGdA&@<KOS_^3Qw3Vg-_;R$xPixgK39;>b!d9HpW{MO78)%$Tyqk9c{UVgh(b
z$47pYfgM8nJ8-Tq?hCmP(xLPL76I}N+dN{xa{(5-i2n(ay`%02_?CCH0AsN+3Bc8h
z*PN8qQo`JH@e6AMNCu3LO$&y@%Qy?6aImvWwM<7VDF|un?BsA|iZFyBIG9mH%uG)o
zc@9~^KwEBeTig6uet>b^;qLQ01NWYKyX3+oA}@3?vOXn^Mb;B5W?_CJAFB%>u?X~0
zKYuP?yB4S4P@Ih-&kch_w-;0{vw@XrluWPR8-*8oO?e<kXU@!HF<xD|8hjDpoAt|=
zpreG06sl1u1Tg&z0>t)V$I7fk;68Y|mMmS0&1t3AL4=!uhIsM(`4Rg*8bdQEq)qYI
z8)IaOtt}+SDB$s}K$@@LxUun*GM%Hytv`FS6sl}Erm$j_r#O)dh*v4sk&E{Buz40U
z@f-byV$L!5G~y^>`tDgD`|OytQJO^^Ox?0nY<6&v=S4+*LnTk<R-=$W^b1xPl95ss
z-Vyh&{V8!E-^Y{qc~=fHVDP@+@9|LgeEVkGQMdyC#Q7M5=~~hlX$-gic`OLo?-?jG
zK%K3tCZ%NupX@b&(z5(53QThDD$BX89*l-xPV{ED%?MF$hq?R7PY9e<rEYvCA<%Rz
z<BoS~oszED`8In_-;j=qNQQ<mZcctBR~EL(JZTEs)cyc@(V+wBvx>IP_mex~@~ESA
zzWJTjt;rEQl)1}(Gey>wZt_fWuh@Jh*5{<M-JGt><p~aA+e8_gxWvIZk#RIjnmzLn
zmFb4v8FdCZPm`TiZaXPR1C$?M=WSk|pv7{0UhxFyCd!3id4rI0Z}Y-scLemb)aA&A
zv><Xf!<TK5ar+(%WLv)5$2o29wv}b|)Oc!V-u1PERO&*TfW^GnJ=OaZhAp>5&Uof@
z4XsnZV7mHd#fd;FW1_K&^*+j2|C{ndGd_t?S4xW<*{r<11wxM7`La(;`-+Tt_ukdV
z8}>eyqq-FHvAC+8Q=%??#*?WhX6NJGP;%$yFE1+fwlc$m+6G2Sn$7g4Dv)z+&DqL9
z^i-<TQvKSGVcxxOT!r*zycv2ee99Opm5q<Rqp$4ulsdebGqOWKC?zaXF2N?7r@Z>f
zYD!n<{S@=D?baGbmyR?}G4t<?KSLv^oM+PA+{c}qvo3!nzeMQ6qwX2O+?3n_bAgN>
z?VfBt<_m8&`|2%Rc{L$8Q@gIZ+PIH;|J5z$+h=C$J<G<$97>YLHEYDV#0T=OeC#Om
z%kpGla7iD{G~uqaWiM>F$1}~Bx{MM!_wXE_v#58X=Z~>$$DI%5rKOuF>Yq05W98f(
zQ~8Za@Nstu?T>FQ`c}6xxvLpke9ULBqzIG>y#i2>5{(w$^isLE@T&lKfgO=(@C6?K
z3>Bi3fBu*&2}tC~gVQHm&uAan;rr$D%h0ibmgA#QYhQZz7U~YZ_E8<0+AmHW{ij$(
z;IV<V615>A+@!jXN#Ex~&x#3FnKzYwZPdb=uL%-koVTBk>rg1#7mfTbUvZ<FJh2ay
z=l{;;?QK))>RY#Ivv;)CXD|6;A=93qnS{oary<@hd0&Mb+=Z;TBAwF41@vY=gn1uh
z(=e;vD3>W&Jg-Bg%9Q^)T`kBEtI)B2_M3$nr{spfsE@mS^G$_%#2Nh_{7gEWxpm!y
z=VOt3&cdz2(Of<{{|v4_`q3=R`*GVzf5H1Ll4cshET&(aH0JkD(6Q{jU*gJ{?$)eO
zz99I<JO57bOw<)hxGdqQ4!}{B`X_EdBN#k3TJ5sZ(s^W`KxCUP`;E9iGJWY!{~Mtl
zYvW_q4wbd{2Sk%y3P9~n23jyO9%uJxV6lGkyCwHHM$R(FK1=OvZ|B%Ur&L*9E-0+i
zFC^;0;`yhdFNK>!7rP6(bx=C+;G)!lb{;q~*gtqrV4Dbk@eAdGH#HJDYV?=EIw06<
z6FWP^fTzsNUf>J>QEp>H#${qKaF%@brGZjse}MA`%qV1hN4U!`MF90ks>k>Ff?3jV
zdd#9S=Je}rtXLI&FOqYxgh~$7-B{QM3M?^NnNVGuQT4lyeFcRAuy$mt>06Bd09}t4
zAVgB%+0-<RkT%zt@5V44pF|R@h7UGtyik2^kaGM9Q5Tf{;puwd?pZa^hMj>#4tSxz
z59C=m{+j@hkOK>1rkF?0dGI++{@lhOHlcU!>;<MM*e^=UiJy{-H6@wpyK1w<4+tKp
zPh(;r=TZP_4{yD+G}LsFNFV?}gTy+RR^2f>TiDt298w)7+MIE@%TbAA?#t7soj5;R
z;ZMd6j{Ce7Cn56Ff@CBmv$MjW=Bx$C>tl{Ow^H|-H~wRxSqUmb{C}I=G34sWp)3cq
z@gT~EayW16r0)c8UgeeIZ#yei{FIdYQ~7Euhe`&HDM3;Sg&JyBt_=Jg8RUpSZh*<}
zpoE^Kb0G&0hpdJVn(R5OD`>{U@83@)8AhdtAWVERaACBqwNXssB;6i~l02m@EBwWB
zO1yrSf9Nx4lM$(QJb6I^g*(W0+|g%i7`1{Dgfh+?Mw`>Js>AMribun`u*C`o=<)Pa
zPq<GstT>pO<=3Bkb035TXlv0l2&e5XAM-??Z~&%nmSY#)hQL_8Dh@Ptr#N2c1jdEc
zB1l<{R2>*glA{uF?r!jRWlFVben3C?<zfE1mwUm*Pp(f}(cbsBM#`HR+|Pm}ssLFI
zwUB+hyb65WK%k4iB@OqxFU&dM%cJ|m8$r^I!yFW{X(J>9;7nSh4zESQ4&Vv^z6=V8
zn5LcVm0G{{*^WQWR^z>IH6qG9h5rVs)|*#EM5ClBLK{(Fq7dswj*i-8ZNy0|M@7>D
zTq-fulu)HxT*LoYFBbM97FG{<VCu`b@rz`<FqRIQKws~rYuU-+>KD3EVUpwB&?;b>
zmR2%pdtmaD<v@5wGm|LT&}7~3a46m1vRqsLn)C*Q+i)As<v_cWltjr;%=gT87;*y@
z0NKUiOPbJ^E1^l9;kRKe&@5Q~yN&PP=R7WOVhfxi-!J#W*guOwM_-)2$3qH)Y8V0*
z6vmuKl$8xI)Et}xkQx~X6oKxUoH;WHrmD0Qe`+^EdwtHCLc9e>!;Zas9Z}Oz#h{!(
z4hm1Y8PF%JqEWGlN`9e>U*FPm_M?3O)B?@Jz>gm&`|#aC@RNK2*c0vv+V}#%`aYz(
z1C)$^6Z6)smB)OxikK)cr2eoML5g1yKj~s(RF{|cN=Oj8TMV0kc>*7vME1K4peuDg
z&(^Qq{-+<{5fu%f2UamEHHJoLw7>2<(ESeaRKz5P1_Ur+BzE}1><fri4;*NN>fZ_j
zM6e9;iLfBRMt%WJY03}F(;Ou1T$=a?kVM~6eDc<?UlM%{90={U|BZ+U1?;VgiYq8-
zXKUWq)M)<NHVeuEh#oGuGjP~shW3Br#Gna6Jxhv`LiUXy(5z#bD#FLb;Gf|{p^8yJ
zmemsJQiwC`wsu201EznNoWjn6aueMB0`gy=YtzyUVBdfdi&7YuMNvi`@iU1@<*R>6
zy}EbP&!~m$-ve78?}&Q!O3hmP4-OmD-hPrZ7NNXA4KpVykY4yIsI&3qkSaDq7Dh%9
zY-6T7d~^O-!jIEUx;%Ry#LRliIF>q!)FceKa{2jY85!q@`v~zC?h2?HeI1>N5}t5!
z6kCw1XY9F}=j0vr>4iWGojZV}oIfE3*zH^|2_MqZLdu<?(w-DAe3wLpFme*xGcuE*
z_##>tMs@fdASyHY-U#qWfeY$(4L1=6wWWXBx_C@SKFYcg^whm_j8GoJfWpAu&dx&G
zi#Ogh*2A}wm1CHB{wsvq(19>+-MWD3LYO!-cw?*E`3o0LslMfZ|Nc|o*}-rfeX5im
z5bW=RgJJjXVPc#x32_*ILmb|g11^s$dk|vJo4IU*UJwd%S4<+K+CdZs^)2dZSIl6?
zMOb^c7(^P98x)lG{1mqbP=Ko1ml_HE&r7{DUv5~t>;_wcyiHiM*7;EL=f*cv;PXGJ
zQNYUZ2a&47<FT1#-C7Zu%>X|elP;h;V!1a{E7{!Ca=Hoo2H;;fW?&hc#KsI&9lC2o
zgh9#jbkcJKo64g{8#w#x<AeQcen}^JcOJC|Tcsg4idN;vlU|UP(miLFtWU<>1n>i1
zycTX1US{lcOP4Ic$fYZ*E3UqTTOY@a4(1UwHUd08%**V%C#m@xd5?#s|5=rj<9U8z
zR>|W}Wzc_WB8jOQdKZ%n3~9Rg80J#m=)=RI{VUUxgU^O5aIAX?l_AHv+J=UOiTnla
zdn0&$L1c`Iy&F;$IDPUYhg${dWJ=z6985-3OU?3lZS=+XXR<-EumBm4!)C0_c__^;
z%1{%1I#MR_!O#rjSlY9Dw_l4SW+XgOgVizxdcl%WQ09T&TefV$WS^NM!81$$LOz)}
zIVo*p5ZIi^7F4amWtOOE!+FMRV!Wqi<&rBHCVIT&arkj6h6Cc<qZamzbR}#?)M6nm
zR6|DwncHt8-F_OdCU9+_=E~y-SkcCT5wYk`62%h^mVnC4$Qbz%<8QSVTUlv*OiR8P
z2r$SbZ9Chr2yipr%(FX<^z}coSWaMs0w8=5dp_N#kg!n^Sh|2%zQ%Z<B?26SC3GIg
zapt20@gXtvAD5YQE%|cb*?@{M=oya3Ikdk3sQ~Rbn<~57E`lrmKyHd?0Uudz8*Qk;
zsbJHR`41I%VR;vDy3OA^W$Jznl`@}tca>^~WT?h?0d-#H<Se+Q$hle=^|hKp1}wRx
z`E?Bpv_dfIzu}r04LE1?vO1qW?P2)y-0_u^mEFAU%FV+A)=6xSpbNMqe)Eq&%(|W<
zp3FnpP?-t_xqQ9Zo_E0*ZkIos<1deTwJ~)HPCBIZ`nT92_^bX0ia_6<0Xl*+8-vRc
zw2EaA9Ndi7m$|cZ*wONNHm){mD>zyVGS7SNa&1+Ls-+Dk5uKl#kldw=loPxK(vD93
zt}l79*8{x4-iS*BrT{%Z^pi;+h12dzLez%U1f-}Fz%QI?tjmE?(W8i2)S0PLA<XZ1
zbABh_3BV6rk=PuELu`F_8d0&3G0PN#S%C<ETf<lAg_#rgU0=Tiac1B-JU!pQU>!E?
zL8F(53Y2_?jva%71w*|p5OP={bL#CiU@#Bw-$yq30&p@aQZGe7Fz9^xyl2fKMs-9^
zZo80>^>9ZK>CM5Ir8{?65^oB{;49!ys?86Mnvtv>2E2Y~#i8}|<T};Y-l@L?U1B-O
za1(fp@9)$Uf*BCHj}m2EIoy8)q(u48(3_8;hJlwlEGQ@jkPJ{HU?@B+NjTER#-tI}
z2zA6~3qLrl)qfT5b<|r#!gh&^r{QEms4Gk!Q1uK0uEP4nlZa{)U=p6w%?R|tb{hSB
z{NmP-*O&rx@Zei)d|<~z!^4eqb+Ijz!ea-A3H;mSpiW>;iDnFH;19<_9op2-7*(p7
zKw1P6iuA8xQR6-7X+80=!^6MeEQAU!a6i>!&s*4tA(<`zM&`hNf(U_I$@NzW53p9u
zN!f7o`n7AXQ<vuTEk1mg(H8thP^=#RlK&G_zbPwt3me;dfss78DH;nwxq+!T3;wHg
zkH^;$q%cki=Paj?{|?lH>WP)@$^nlaDNw-=!gGaa8vk;P8HChZAQ0bJ79~tei#`cA
zzk7L4c<rA%h*h}&9t(tOmo)@I_mxd<zDHWktzEP8{(s6(EL<uT<%3)L70bs*aiT*(
znp?&4#`q6}i~lSIl&|ni)t23-ul+t3Ux+)q9&Wc^B2P6jjj4>xo^|2;#FB2Nejw4`
z+ir=Mzx)qn_PA|486otRx9q(YjD}Wx-`cx^S^B7HM7%k>yrA0(N}YH#|A!TZl;OWx
zfb9oZ1l?jxveTV>I<D_dxMSt>;rPS-EBBw+&iRS)qBC<WGGUG4uglv{dL@e=@0U60
z`7y_|C1L8W_~+6i;oh+p{kpa9CzFcK98Y2U_=B5iY{{>OA#*d~&Q!6d`AjzrbA(<<
zpPt=h9rxtSZc5+Et<KM!CX!EivL!799Bt?_bY-I#XYz}F?eFclv?bWH_VJp1iMPD7
z$IaiRJ^AVmB;>XLpIRa(r#ijEd&h&yoRLiy36`z{#yQb1&zNR@v}Eo0XwgsQaynjO
zRmTr4!|1){rVsJu{Cx2ooMF~o#__CXaq&Ai)z#^Bd_p^}c5CT0FsYAiAEdAQ)Old&
zy;Z702OX!pk&#?7bIq4#Px?FTAm?m*Qo0`2)o}PY#4wL5Y8fW7*ZZsI$=>$%uV^u@
zR=t|TSpDAWp|0Jiw-8m!uqan-W^LO&O=Ed=%@6G{dT;I0CA8GCCh00vUdo2fT-MT5
z;|UTJAD9>Yq34_QKJ<BnS4YVBb0?~u6!#7Jn@X|V8AlA(>(<8EIF}R#xSL9;Y6f<8
zTgU@y>TKF>PjCFtiPcP$#WmKJSL@pW>W={~w}DOaE*j_0Iu#yZyF2$j)Ne#qgfH*B
z{i|N!Q;++Td2{YDQj834d)o!yDU$u3r0bINx%bGS0n62j9UU*ZR;R7xjN}{K@0D0S
z@R(1@$2&HwGE*(z*E{;b{`HS(S95mU%>2G0=TOWr`^<-%!<WVH%GX(Vdw(fN)9erY
zq~-o2Hu6P@!IxX&H9pZbCt4n+W_dm^;Xbm4`}oEf3MG6(LBy}2)^hj@ovQO1#crDw
zJBtFvSEl!`%({8$FvDQy=H&|wE|>14tIZo3Y24oP=`{ZXnbtriB0?Vfp^UV2sP_)U
znSZi6+hzFWcX5Fy;dMH?T<qf*@>_7G%4H~b!U^GMpKe=p{dvg2c)U1s?p$!dyVl+p
zF)>;2IX|$f3??f7ps24=Xd_h%8-5|`&VmA2US?9V^`jB9L<9~T$jdXF*JKpz!U>B;
zBzU(mN|+mnaRLiI><FE|dEX_Pf)q@3{?U;51#)b-pY*Z?<F_9A4X<b&M{$T9|ADX(
zDDZ7Th5$h^92&}P;Opr7Nv~ez>+~Az^!eyFaeDr+oU)CO3IxZ5(o4!+nyBh9{2)#f
zwsLXvj|KjKQ6a!VI62V-q2_gRcE&ty<Sd{Df%0HGjweKXz*dn`dBC}q#Y{p}^gH%T
z^rJX;QP_axp!ritYKtQ<tKJ#(8EjoiuN*Be_yXm@_d~qtVJa0l1L<m;pPfB-Zm2Qk
z1&R+eyi{zjJ4k-w{<Z%Pkt@sLUUC8wFH(+x@}n+2LHFR3^Z3Xl7f%HK{k7@AoT1|<
zvG<mbwH1L*GhxCA=2tj*^B3m#18GT0s>Z1d8%9lyEjTya8miso&r^tNf3Ob&Y>L16
zl;w?7>_?%qgVRspK9s+#tYlLT3<YHU_x^s#y?e<RUHIGq!wYwwq|tkJ&Q&j)KEh&g
z@0W(A0$+-o6PeW*8X_gP8i!`Eh^emv7vl>cFnFPLA^U0j3VS;{l#3WXjE)t-3+Ouw
zgPPOM71N?efd%j0%PfeYK~!;bo1$9-GlAf;$||(T_q-Ns;Qutr8-2}8P0Jtcmg8as
zuLb4+U%IZKfI~)R0nHw4%O`UkIQwf}RN@LY3XB5A!-aehk1o2rp`oF&vJ#~&`WvK$
z;Wyw>M343wvIB_SL3lq;OkCJfj0?SGkwhXVvoYB9*Y<7ng_ITMm|s(~K-T~SJupWV
zWMi|Cn!g-2O}vzzZ`iz<RQy4g0r3ig572!ygH;WG;)f$aKK|KeJZ=P`8jqL=`odP5
znE10IQ0f(J{M?(1z60h=C5tB@tx&O3l1|Lg5baZ^mXI7tL>f#cer%(Lspjf%4>EvY
z3iO7m4)#(OK|L<Fh`AuPeHXcaEJ4qQ!U3|PAJx-PC2(fro7o;)LlCPL*Z*&V4henZ
ztBOEfQ<#}a%n64l*rOs`n0N1@u<Gy#psaC4o<ms~S<O6p^jZHp`erFP1{y+k5!6(Z
z?pW~^muyE4q=ovmTyQK{uf`kcW?g)C^(q|&u#pvDGmyHVk)e*n$zPgbf+dFUf)$Nw
z0hlC8LsU7I4VZ`U?0NGT`IQ#|Bqt1_pK>`s2}QzNqec73l#$DD5&2NGX0Jz*;e`$=
zpuIoc7_9V{CT5sm$;TtdSdE$y?rGp{Xj-ow+}1p8=>QN`*7onZMZ@r0_3)=<IH0Nx
z2nzK*#NnF9j@6^k^zMcD3c?-j=Rd%2>w1*y@Ngq4_VT8s1fj9`F8@s#_K;>!Kzmo>
z8_}xTUy$6aZewnKPY@X=MYPEiB|TkTWTf=e33`G!y;$;bfy+ZIBj*tnmGR+W)cFCy
z%GSmE$&2WO9v@-=ABF!2D*Q@q&Ydfx#e<=-pNt<c`cR2A%5hz{mlR=X)qzGvi3HV(
z9atqewNdU|#<tejh((BjXn0_t_X1#a(-bS1g%xu&27oADy>bO&1`^mn4l@=YdiZT3
zBFPB%=2(YO9Nwbv-d^?Y|NfoS;#f6_K}X8jG3<!50;*zcW^ig@147gbyO{Ys3>(A6
zVih=k9`G)h?@|Lf((&72|1TNYamodB9ArkU?s@poTmJv$IBv*;a!7b{pxC|zcf82(
zA4vjK2^v9O2fw0<MpenBLT14@ILLqzhvo_&@+0Gy%RQl}>KT??A!)#>h=0KQL1l(l
zhXz`6U`rvQW_K)|kq-(q)cpvz%A;NXY?<#4wkh0Ci*crZc<+d}fZmX53slh^W1KM=
z1dj&Hh0r-bS%ASK&;S8D1Vl&X_(MS)1Kl>PItYIO?3si0?sC8gKUP#^3itwzj)s9N
z`(4(pTV*g*4ErKPyfI6WeJg{RO1pMJ>aE4G4hCYxA^~?tE_(m^EeD8#&GdgjG``Bu
zpB=Fe<63Kq<ikL$M!xR(Pk|)pT+;yWoe);nJ>_r^)i?-EYv50O(dmXKmGRFhN-h!N
zZ|O|%dGIj$geAyMSFkqI`pHGKjIK3f=ZbvfHT0^t*iVNmV^H@~nD=$}fNdE+6c#F|
zsoTfheI0Tkrlm4NOxt03^sUG?%GAdg?Rzh>>JQw#cGe;5UXV1Ut8UC>H-jM~h$QRx
zksy)|Eabg}aFmxPLtjEYq@se360eZDEi$V3(|VH!zj`#3ST>04(Xpm;yED2YQk8{I
zPjtLt%JsPHZ5>tWgC;9xlO2&S|H<`MFn?MUX_fsbMb_0+kfP11l^pGvvX3JDvHeV8
zok$HPdfeZ_;`(UL!+TP)C23E+#5#3jwv6dJ4`PHUb<&+}o2SREyrZYxo|$NyDhuD!
zmO0GHH`&8}Q=;}_VC{orOn&c*4RlA}+&);MvFVT=RZCN^JaU{zXy@L}Woa!g`8+oL
z5UvK-v@BJx$r}yvR``6p@YzV3ceHw;wA%k+?7icu?*IRB4Q+8Ku2QOFrL2-Yt0P;H
z9SRj0DY9ou9i)s9GEy2cLXirU5edm2S!I)%QO587!u9@q$M5s`{mvin+x5OKoO52U
z*Yo*&JnrjZzb9LWBpz*knbk!YV#QA}qB}kJkizQh0@n1cAM;ZT{8XEqVysBfs;GU(
zT^&l5IK`ULd+K8WMJuuP!Lua(4Yz%$`}*e-yJfpo-M8qvobxzE-e+Zb@9OTG)b3*}
zFM5Y27)v!z<$FZXs=nggqUA}Bkz^34K1rci_Vf0Sr^p>-{d?lj*z25_T8cKoZ3YO9
z=1j2(*D+Q-i00>=4F17MPAERc+;zeIQ9S3Mt0Lv*Dgj1~g7v>Txu*Zn(<V}%y3Pxd
zw`)pk96Vs>FS&7xZViKm+estlK<Q8=3MXev^OwX>o>D_a50CqLyJb3<K_Pp_cdn@s
zo-bHA7)a4h<TXe;r%s7W?W~LV<KQkrn!EQcM!synC3SD#rl|u;(@EacjF&kA8(CxQ
zDOX;-SQ{WA+n`7p7nm}uLNB1-{$jy}oUpcKL+v9z4sz^6x_WOLZmMFgiX`*at}sRo
zoAU<(EH~M6k~OMb9y{9jQJ<uIIF}cDl=53`mrLHmZKP4&P0_b=`VwuQD^L<9{@#fp
zUHxO$7!~!&sy>`b(akxk6PF$srF*C<n)X%?9XX*z;Pvpi@w_2UCnL82w}o*B-<m5O
z36E9uZK{7$N?K{u6cpApQSRpdmI}~!Z#v~(0v-4qGpV-la>VWjF$a|Hi*`u1^m$y_
z6G}Z4oj|YN%0Yhh*sMNocHV5Qq+OuTwXIzj&s<eX$HK`|k*a5msGv}^)!KyDv}Bw7
zxJn^+Zo3qx5L+onwrnXa|4<RrGvUsx{WqSK<i}<gF`)A10fpm4PqE0Gkp+%~tvyEi
zcRkuTzql19n2G+wM2f52StBrPuWJx%<3|277tS4UJGE7@Fh=`w!I8<!w!crWTHqvq
z`^m<`a_&2O!qemjyb_;&Zz7F;IlA@!E+|;4&n(sx*bwAsm!K^CWBkgcGY$WEV#V_D
z6q1lYZas;>vx|K?vJrp*36Uts8Q>A_GHn<$gntI?i8Gz=JH|}wZWvhX2Hp=qv~oaD
z5RzQ2`<j?n3Cs5V`-oQU2fa`Ln-*>KTAGo4%SXI2@O;Sl_`>c52Oj{!NRE<nfz|s(
zO&x0YcL~M07T6zwMWWC|OM%=D_+BvL2ZOhN;XHse<`j~(7#Kz%?Q3diczH!-1&uN7
za^1E*t`hdrY^{U`d$PkHfEgXssr?NBD)1t7n1QUALRr9wIuvCBAS(uDW*vR~95_?}
z!!X-$(Y)X9W4_pdv<o|6pgWmygYUy*fgw$Y@G*hHlL@ET#+RFD;yITt<JTwvX8@np
zBhm#bP<&jRk3fW>1ebLjymvP1|5NW+4jLBNJwzzLXaK9My!sxWrM6ZW{^9s|Ig$LI
z{FtW+#nxFXtLHGdAt#T4;S&7ajb!w1lt*~8$6Rx|gaZA}Cw4LuQ>eKVX5S^PSz^Cl
z8vJ+Fd7!OIBk06?2h4z770tk#ISae!AV4hyr-g{a-^B_iOeAqP(dvbSWIzoD9Vo_o
z<fK3-UkEZ5L)G<>P<RGpH31X>w*kJ)VGq?Ik#dY`6apS7Vnd?A1?wWvi=v4!X%<CG
zn&ht%K=}Ss&!dFdi+C%vS}0vm%u{dOLOfL%U&#NgAcS5{;b0~%JJ<=-f5(A3;roIU
zhEfy)9l~hz^r-~`O*;ACJOXk^v~v3TC~}90%#n-V4dANH%5p@HfH55?a5#hz7t+|$
za-UiZCIx6OvJvZQYCyZqj}*{@NngLH;D>fnK315<yZ)c0lh)t~ny#iM1DQBrxdO3W
z73jP0Dl1dD7!2ts-V2VFrjinB;;sK%|Ic7PIYqo8cp+iMqtF9UI%=TDPo5AZ8mgDD
zCVA**@!T)`84v)O9L~tbhGsz!-wxtvFqCk~p17|Mgd2b!`>|WE-Dk$oesEgZJ34Nr
zr;o!#+sv39-u0j&%^)2^?~B_BQ7if~+#?`>F)=Z1Zo|2_!B}`o-B>_Q;JP;=CjhRk
zY|8VF+7FAorQAT_FTwh6-x!_3!qO3}eR(*huO&xlfEze0l!VghYmAJ(0}3EZxK2E6
z*@U(KP%9MH)I^B?DM+Kyj6?;54?+0SpG|<6hY9Q%$&Ds#5;d9Qua-v47^+RuhUp0%
z9{K|W(xBGFLj-p57h<FaC4%`b;=z<!kK1ywkNMU4rETk_Ixt+$1SlhrZj9EF=j8Qe
z(ISy$L&0D)?&c3Npxcm!eyYA4s|;(ksmT=(E9J_MV!Fm8z_foS`q;zvGOPoN>8I#8
zJA%akl5`f{N|dvNZycN=;hu^V;uaM}yO*=eV**1*!VcbCGa>;gIttG&tck5@NxK>S
z3V#fZod3u-fxVR`<s<^d(W+zIXC7fQIF%(PDT!1_Oz*76)`*AEE`SKA*qJ(9^NeXD
zo;80atgL?<uvG{i+8u3SVzNgvQHs>p+shEFWlKb1LWq|W71abVTz0yBRd@;4w_$X@
z3cEbu7MUg-b@0TOzgi*331#Ulo?cBqGyy0Y!QrCZ1OmVh+i7st2dm|JGo|i-brIai
zsd}hzYSH;s=Aje*{Zs00Xf2N17xSE*E-a)xI6(;D(MsWq!SfZ2=HD-z-$+?)YDA@D
zd@J2<CG~p(jDAS%RHfiT1;3u+?}n5GnTiyMm_vAJ<L%%eE|ocG3ibqW0%RHz7`%c8
z47Pe5EiEEl1OrL#r^K$a<z3p_4ftf@7K&I-zbI`5e2qN<*90+v7=!ntuaBpZ)f`z*
zd$YmzD>F0PsU+y7|F^C%>C3~h<5%zy0s0^)@h2^tcyp1B2ikkaY3)}{VoE~kQ^Ze!
zEl&*B0!@Ov|3-*L0P%z+BYYvNv*#P0v6M5<2b06Cn@VsbWnZX1wws}MV1R&ba6)3A
zC`IHI7IAR~_@1awKLY<ba3o_8i3%LM{D^5GKkM)iVwtU7yH-+Myl-H@%EAKA0MZV6
z@x{X=6Xo%=6=|mn^Ps<zg*pQPRiI4S?r=}3$LVZZ-rGIVFyVzJmiTq_@`(CeGB(s9
z2*1=C-3!3245zAq1!D|XH@k{vDT5|DO<fsT1moE`Z{9@FMzNk@d19u@sHN-b`Ui??
zj+21w%uP+d8O{^vPJwZ3zYrs0@4=RrRvH0hzzf(&G%Y(62iR*Xzuv-Li^db<%YZ*4
zo&+yY9&(`9fXiTO*;*5XWRigaJWPAlU8*m>U)oIGvw{yq_k0BN$EjzZlrj2I>^@C3
zoOvs^n}PmDz%HGL+~YF1E06+IwrPQ~ts4+?`gOl$Q?kGVU<~out45+i4U#`pR9wV?
zCEzab*{K~^*zQ_4FO5{=TmXAKwQdnt@DV`~w_vVH&L-@3;2*;VbD5U9qOTI*RAKKb
zc?`2a`l+ri^>d<x2ZFWzfAc_a|J#IzM51AqK_kwR@g^E)F`gp7UI0jt&qp+EhhBma
zA*)ZOb6maaBelG03krUm8<d~f?2gGtuT`usT)^I50hv2s!Z=AMVjaT0i^ui8xRjJT
z>}05Pf|5-@nKX00_}hxN!oUT6V`Kh{mDtU3#zu#SXThKk!F#wd#vDV|(A|UpPh_R3
zQ6Qs5bB-!RifveJ;QbF%LVxyEA_W^GJ|&J17y<~?6oMh-li@lsKo$G1o#Bx`5G<e-
zzlWNqpgfow8F`wLf)HJtH^{Ji4s8ZZyId6rEP*u?sk_3kPvEdbe~c#=vzIP^@S#Nz
zA`aV!Ey6!z>oBrnE#3ASD3?Kf;h7@X@WR5MSV34gM(L)sr1h(PQ04Trk>pf@w;xBk
zuJblGjl5L?jj<5sjE)Z>t`1%84$+H-pe&vBm6wK!Vg18M>#qV!?`PvvFx2k%WV}f|
zUm436o1KPhi#<KgV{%&nrlP|pZ0OjkjAfY&ZwCsrK`It1w^PS0oh7%gx6Z(SfeU>A
zrT{>87IhTj0S4ZI9cgG_V1Hz4V&W@UFJMKv>@T-_8fp}zIBFRivmwlEhIbD41$U$8
zOXT?M5E$oE@DQ>9uYykjVtWAVC+wczzFmRy16u7kF9n+Sit|1%fCNvr-+~JSV044Q
z9azyja|G`?jkF&wwQzQRefH4q-Eu8gxfAfH3fEsnckigENEK_sZt}#&FR5VpP^m`1
zC3I%cqqliX8DV+A?g^=JXXioeS6GpdMwjtzMKB#whj1k0raw4g0jCtUZ{QBk_@zm|
z{|6v~mQ5aV6*%3Afuvvq;i^FS3-lA{24pw@lGH5!SkZ*B3tzj|@_XlL&eE`c=%3(0
zgE+4Q17>ugW{2$;01Wbq9^9+B#fq@m5TRPQMwBlS3a{wr+=mWLY@2M2TIx;Yy2K?V
z%VgGBnwm0#eT8V~<tuDZIQEZ5-p8qBXJ3J|0{|VGemHo5yQtY~6O%v6ZTi1HfbL{A
zUe%38>o!~;XJO&*!@`^Vv)j1qFabVeFGhl{@yV0y+69ooK--Z6z)m24HblB0;oTF1
zK_Ih~i*Jxs$13)dpLW>|?j648RjV7Kf>AKZ-~jDO(;v&3LX}racq=-6InE-bu@of>
z2oCH37<yV(ULMxJ04>b7wzf9Nk!FgiJ^37DR5C?({vhP9OwD|1B){X*vYk<`3_%oE
zoSY(5*Ta7eYMOrmQkt-2eSl3n!lU*L!xZFShJh6r9yN|_2HQC*B9P?R#&u5qU8wkh
za<<6i-1(BwcU5v6j8Kd5ymir}|8nh7z0+zLlU8;z<GIVC=QzK7<s=`>I9sJ0F820r
z*<9})Qt)jOOKq+^#VfAbJpJ@1bEe=*P5vms{0l~*{b$L_)BU7?nPfo^>*pszq0hZw
z;Lh12LE?0``Xq0)&yQN;%bV46o0YUJVwXu(LEK#iQkqe9p<pdNm74Tgn@KV4LTPx^
zP0HO_3&DVLXt<XYyxB=!>|_mbNuAF1<J7$=w@z8seo3bz&57~G$PfH(W+E+^+&){L
z-`Zbhx+iNrg>vMg%Z*}@&4w{vpO~tQS6!@&3~c6S()cJ!uRjs{=M4EE!zG99cUyNS
zBwPLxd6)JlW=}$ztME=OkDa6$_sSy1k5G~4h)*>?@NC>hP6%1a9B9<9OqsXO>Dy2L
zH>S%!@${aA>ydSaTJcJhgfGp!bzi$yk++NeJ(L}=t&u`$3RT?moM)I6{Peb@t<)+T
z<`ZvS?@$l5?97?SwxKGf^=<LX7^jvbZ*&S!H&R|h8kN)+5mt?%?wylic_m0D@3S=6
z`oqYLd@#B5q6DLMEkp2OuU~<MR=_L5v%bmh&(NIk{>xJ%cj_AT(5=^#7HYjJ6sfE>
z?wlxY&yb`WRQK>pvf5nkPs&zaJOAD59VPMXqkJbBQqDblbL+1=!Xx)*m@B!Fx95Ai
zmCDflQdS$@L2i205KKMfkW(2Y7SmT-5KINkU_8a%=A_}iTOxZiLsdun<N6B4J5<Hy
z_H@-8r^bap?t4gmqOm`}%?xJFgttVg^;aIEy}94weFj|%yK$M~$-^RX;)C2nP3N<8
zW!Q4x&;RWktzmBqJ-BAjJ%UPY?NXNJ$?xXaMfSfizB#~ihl?-u<@FZU3q#=nA(4$m
zPhN+(4e%Sfg`X|tKJ@m`b3^UlE$8&}$D~NX%u{2}PD?3M#B*A%z8J8dSoy2TVzifm
z6uj0+IQDY95XtDRXNY`bcEK1Q5AUC<wO1)ue!1_<b|6iOUax$|7NX&*cZ72GOtI;z
zjVXTADCR^{-93ShhO3+_q^Z>Y*LV0NhoZ^3dROLu2T<;g$M^L|9HHD5j0i{-s}H2j
z>%SC0brxwk_o(WHG-;-yJG{Fy&uW8^{=}z=J5-Bf4K|t|$;U5lAG!L<ky2xOx!Mge
zpY@(jx(N$j^%((jEeC%!WIm7adur5})>5aPg})s5cdv%oDw6)2+;Y(qB}PE$X_P33
zwM^YM%uy{~(~CyD?rowaf7|qzD$hOCN1?DjZuyyI{PQu(e3PRHDP^e0!^iW$CT_r_
zuLY7<uVo|2e;+lg%JILW6Z+QYTq_?t*;rA4*~szBRqA8<c4PKY7Ud((3gkCQ;<54z
zPS0*pkL5MTN(vq0qEOV@*2%~kFa<~QWCwV!(B>G;QPitBmeJVKS9QR4LmjCq%`9iU
zo2kg-Gvj$?rm8xlmbiMe@Ch#RK5L0wiDQ(zp=G(JDD?aNsOHuM39GWwD^=D6#Lkxa
z+|3h%1@%<MS-+q6ZO{T;c5=euntL`uk>d~Q282mFz)F7W)~0hwPym?+q^3(Cl&;~P
zi;2mD8uy?O$aUdN0^!20UR6^wNO=ADjYKZC?2Yv@9^-c!C13h7_gB-)l9A*wQKgW-
zF#mR14;1kH+>{;vB_R6f9JZq*u)j7k@~;k`#vm7mi5E@;9D^}p1mBFt8z9W^yYbuT
z?7^u(;Hw|kSXZZ0YKft!4jn5+?a-kS!$O@$&d|{X!psN2pj#PK2~;b;ah8CSj>9}Z
zcx%JMbxce;Kx@EBPtM57V!jD=D2El*-ycJR@Ev<botOLqlr0Pl@XyXhi{`Ys6QNm=
zk>bFG(D|c)!aP?)WC;<bs19QIEBxciY(H4n{pX;02^tP+?q^$ffWXEpHm3rP1K6n+
zw#w!iV>CJwQ^7~ni#UTd>5Bu9aAN^I8Q?kF)bpt5N@V~P<lCSuXLGKssF;TjTaO4l
zacG}$pT}s2D)c3vm49^;YAy7<1Ce)r1^O=GTv|#n@ecFID=5gOH~s4}cp2ff`gqU(
zN!?45M_-d+y#6uj333Eyv7(x?Ky-OQ!O>C)c%+%PZR3e<MS}zmYoM=BTIHx8Eb{2o
zkP~0XgK}}huhIzX<C>ZwxU`+tXryYtes#{u%3Z&N2hpTG!#78%`0~nr8slJq5p+8x
zCeTsC8H}*pQaC60__{`&(Kx}cJ_)=+6lv{G{!n=JUc3k60`UT#CSvYDed>3(DM0l=
zlh@qse`~vN623Sgvb3`sL(_#Q5(4_DsR5A#h2!*xwYyaBi&dc#PpUz@AVRcqaG8)~
z1(*csgE?U^VB-FD;W$PCqNJ`4-8PK!;EM1CL2(aOJ-mthTj;Q6+$S`neNPhBiTM8>
z<<$AQ_CMl++@CG=G%0t0V8PjrSI7+Vk8F#!f$BoMq+sJjH`_H>ROblv$z-P_XLQQr
z$0BHy(e>}wA7Y{(QM<Opl<$Mc3SDZr@|Lu8Yb&e$Z?zr%OMze=o(#Ji0l(TFTxzD<
zg*mru=-SM-lIC5cpx;h>U^y#CEM5>>u&v@ZArJ+)ibO1^!sgI}g*0Mtv5OR2^yz-A
zTkyI7697PBr9m~Z$h7NoFd`v|pG?LN7QjQfo8g~r+fc$GX%FRGNq0nxJX%bMz2Hnl
zzAiKha8jekoUl{JyANDl6jOWaSRr5vVO69wc6kaa9=w)9aNfX(Y#oeuxV=s2*t<L}
zD3?)KV@UiReC^Hu2+AGoLBEM$F^-c!mXMo=7cL<K3rkOTH&?bc0E2%du2>+vF8~82
z24@h+BNbmfh-jpqy4)ewM5Ab4(vfW$ccOToQ7tlR1&iG?%WaFBO85(=D^8r=e(=a|
z`S8OTXRSknzf!_alrpC5<GGNNFI(Y|Uq9sdmb0sS?$0Ot3j2z2_gH(Dn7{XX?yp*l
zjRPRv0q8QOa*S!b!|9wB!DWNTs23|^BqJ(&ruwRTU|a^w1@{orawPGD;rgP7w$gE#
zpUr{D51pZzsVM{lgro6S3lx8+b#xGL78x7MZ=iShun90O+yev^Bc;F-=>>?P!wRW`
zAP^F5kmM#TMp_pyrlRd!Od&3Ws~f?8`LLfue~2Wd)2G|8BIs-3avr1q_Y-1QM4@~s
zrv-PigVzbwJ6`zBa6L|0*|wz&JW!UV;<#5BpNW?MAD_`niz?g%Utjc3#3ohM57HfF
z>FDGn2Be|~*$6li14kNoAU+0mi56+M;f<!Yw$rChxq&|>vYH_gL_`SdkNy=j2D@7p
zZ7dd%7)s!$h~l?FI~+*>`>*FZJ;vFAhIu#9CLu1W&Sf<=LL{$|B|QGTEL@pCI~Jg)
z2<s@^y}J{j^(bN6NAv#4n#C>GJG``_;x-i?*uI_~klpP1NteWSKtmZd1N|uoJq?Y_
zYaW;}jouZzt|QF4*sh?5!3$TKayKf<U>pPP4WJ8UC<8=<wLqDeow3*NTun25$YdQ6
zS0Yyi&sY1<(9W$}q2WgN=GfTOgue!${A*E>JnoArF(BJ7djLmDLos$u-$>wc_yC~$
zU(udGGJ#Mv2D~0V{85^N;2!qz@r5}m(a^++EaPFx#NTXgUg(isP{OrUQZfnsayiEk
z3IjlcXzouWOR;`34i#L$3Hb2~L{`N`MOaJdfZ&Ttf&K&iGCZo3m)PyVqh}tNHGOS(
z!OP2E{T}_-F`M~kE)|kip5ymfT3K%_+QDAx8S+oP9nLcg&4tr=90MpYS2+nv+FQ4X
zBh$k6zRU0au)-hMI$zLr%+286<L;0&Ale6UjWMq{!1ab>sApZYAaChk66Sk{R|1Mf
zKsz)ZUXY1E%Hp>d>01CiOp9VMjwKVkFp3QmR`BcAKVV(3z6NDRH^`j8En+k@v&-tx
zI0nS!13kbgL4M;lmD*q|6Gu#5iF(yg?g)np#M<HP?s~c1Vl(hU#b5}?<pKyhjx3tD
z;uA4T7sBbJ$he4zPd7fR-2cpvS&G&)MCcprcFL583U`=Oxot0AtPr`)CcV$#by8A4
zu;EnD3%B+|E9Z2E5e|B+aULX6N=P)p(~SX%03~qC5j*!9To~3h%uCKvt=LYBk`VF&
zPro%}&rs%u!cdIH6xw_**d37Zg_Vh?W`hbrQ{dS{vMst_M}7Uqry38@-6J9+4>be+
zyu)CFM(1`rx=R2IF}yn~CN{Q01Y6&Ar}@T@4uN+3G~RcXB^P`;K#7(_1bTTG#e?vc
zOP9s=KwOSO3?lE#*hms)a1r3r!(#uq1KI^<W)b)b!C_!2Ag<`-Yohta5sayomUmS!
zR)VN6_Jjim+TUV~0fZPny1mPghGv)erUwKBWf95Ds|Tz}9FP&d!S-$2@Pwl1!c2g2
zAn6c(VVN;nAp-^51mrNVyX#?K2nJB%--}*sVHo(v6r7nkj;Ip2?*Y@hNX0^b52OR|
zG{&?~d`QFa@X+g$i@qbf%DTF&?hXBTGi*6{r4CoYRS5)aze*|IQi(U`5)L^8A)H$S
z=ymPdddH`57O9xdqmw@8x0<H?r1#Qa!bi8GS=tMcb>xNp(hHLt!SY}$!Cb6d&$%cn
zQlW>2hN2~39^d(|%3?PLt~Nk2-+g-}$6sg3k;J5()L!58OpC`?$80|6Y$a70&0B;=
zjhBg6nM%9$lBy;f6M1KDw8c`X8TuKTwLvzjO<KwnT7l24;+Kn>9~tZ?OT5vENvtb2
zV61wd>hosqRvJTa8DmFN(gH)(`>p~#)6N?Mlq+_8cQ}peEJ#(QVNE_6hKJ|#$$@^o
zhYh4uVhx`tQzp9K#n(yLj~?4YRzAC6&A{=hLH4gs)*f<N*o<w!GX_!>U-)aY<^bx&
zN9zpQdkxNI9q89PZ8CC%|9NfO#aNfAnq!oj%umwcuVW{U9ilnF|G_%EX|1i$MBDcT
zSh2s*ZY<r*bp7yO9Y-=bZP#$#sn>s-1Kq1ye#o;?4t>+>oLRV8U3!lyW*a)|pDob%
zotNA>;qjN<w8)B_P|xXOko$*3>N=nCNV6x4QYb)rCn~l*iBc%)_STVK@^Ns5B)6v<
zS)H4SoN(yy5Boop++<Crcei&OHOkW1=@m^CljhUcG`TKKdiGdq%a+XEBa~VNGkwjf
zgxk;0A7NkElW;L>4R7C+Rb-)QocKM);H!D<4zeCxfmHRlXLt1)?3Hd<jAc`uTBUxh
zWIHj$$QW0`nDzBVj1eVNa^+fv;I^><AH^1HYVZ4CNzFSNyTv6J($5^tG$yU5r1q*)
z-hB3{^eOXk+CKSpyAat`$Fw}8+o05%ecIZJ9M!Ba!a12Hy@s;oAb-jpQVDOK=?+qg
z-XBqwjC$9qeA?rY67)6-wx=(XqcVT(AYHKBS7!I~G|Q&&#Cyy=L#)U2uTc$G`c~Tf
z=12&=Y8&CFgUquCc^|Rksn%)~e%TGN-GS?qxDtXtnqR1WNwug?{+8Vr4f|O0^%r%e
zoN3gOE`<-Q&5uv6CI5Nn)SOM57EoN;S96<cD6%f^S@JFmhN^2XV|iUV$HyT};hKIa
zQ@)Qmg_ZTuQA(k%sgjAC=Yp>UX)Dha=DSRW&(GM{Os;Vb;+h_A|JkHUw$tZWH(zs{
zV`GnFDdp~@9kYszj%Sg`8r_)PWKG-h5U=C|<b>C5K51p7o&1a%28n0Z42K5LGm%DH
zJtOl<knG0neoepMilM4n^Mh_zQT>pgg^zzb--KXh5T!|NT07rfUjgsJHBFOx-$s$b
zFRiNgt?Sc93WdYjme<jvnZo#N!~B3$&buf|>k;l%!=$QPUqyI%oVQX9nKKqV_^E7W
zAE$gCUz+jDrTQ#fQLjLD$oFkV`UlU}OAc?CH2yQJ{DGzF`Yu~i)rjwK^6g)YHU2i%
z)1JGV6@O&pC(m!$!Y~^%QnA6DtJr5j;-<|2g~FX*>G@V+a6uVa_U92n)82kUU*81=
zi|*UBt4B6Lxk|j&!N){QV#XFlST{k2A_mA_VfDgNtxj_SlOy6Pk7HccFFBg{NSw)m
z+k_rtn|EOG<+{04&l^I6*^GfA$Pz&hg;o?T0$yQZwP31oPFOv6KnsW=+c;xz#9-I9
z6Wg)*rv2}JZ60n*xvj`Py@<qiE-o%q!>C(O7ZS4T;(c^h2Q+YQoQr6~iP*<E&}@OZ
zwfElu?xpJBz<Q#$0^&?~<1lR(AzrY?);Oj@=zUpi2jJf-Rk*S?-!wymp&|)w<&1OO
zVueP-gHjg+-~RAO$U}mI(~*URe8;Cx_X7N^%B8y(o%Eqvf39s|t_|n5Zz-a4u%*I$
zEwOv|8B}!Tnu#m;xRP-29XuFf1I2ACa<}ZwOGCxn<Hg@MW!nnm(!>!VK6wPce<~YP
zKEgM4A!WMPghozi=@6GQhWi{8+Ea*2@Vy}t#Wz7~vYC#~19DWrxNtsk4PNrU@V-Us
zcTxs`__{P=XFqc${?#i70P#o_g1-h82p>GTv$Ii&%GXZaq9SuNHadF0Duk5JD}JR9
z24>;<fx7m43-S{fJk<i#3*$!69|a#iT&3bxfQba7@)ma#eJ?(-!><<jwM)Mpr=zi3
zz0~#R{2UsRhK@X4m7e|%1SmkiKYjXyDTFEdnZ>XUzK$qY>uPU*AA6DTiN)+JTcgFZ
z7fCl)cu1)E;P^eJq~u41)_%?A9SxwvQFGy3yUi-94!54)^F#4P6yKXSnKY1EC*kyK
z$F5!Z;9k(+!;$SwezhX-ytz5|f&7F7AG#aEK%H%VG^23xeGBU{c%)VYYdI!@s!D6T
zdiuqg4^Sm=9@~sV-TfjVJpCDxk@3@E7wYkz^5{=lgc$hE^A+|dh2uZtj7Kj)wE#bz
ze41~QH9@i8jgEc`V)Sv^H*aPpq}LISB2pk28i*t*2>#y6!or<?iM?V4A=g05LQa~g
zzP1H@g~^X01T5(7_k;Qry{0A`Gm07JrL&eV5UqLh2@Q=4e=>K8+g+zZR0OFqZ<ZCR
z7(7>$2@v>)Jht-mTSEf!6uk^X6?#vY@d3c}4N1??TSB8k0fUVjVU*_o(QPcDV1Aol
zXhZFd%ASo+ew{)>POd49_pzk~DW}4;bEg{oN@?hA)Vv%WnTYQs?8LKgpC>X0w0<0O
zs@4ils9-kpa6tEr=qOY<NLpa1B20Jz0q3OTSN-hn&gdHj7ld+tKpWj(Cf($zV+E-6
zp(>pP*@mf5&>utJX+83QCSGG%V|3(aPtR#oN1r~KqZgzQ#%0(exNgI&@b<-vAS#3}
z-03uBm6%iE=n?(cpK>s(0c9)76F&=>t9Wmgb3^`=h31gwlh<)5jX(-(RgR8-!9t>z
zfE)r>V`47A!?W#xDFudM3=aUfWd7w|)r%iAa_q~CD-Q@lVBn>?>S{a}r!klT%ohA=
zNRzIg`0!$FmLKt#Ojnpd@Z)(>hos%cY?j?7zT@_bRkCMG7$&KI*Y1?BEUskz=bufx
zWZoHX1xPU5mVcZAp%<N`13(pE8VLA>>IYq5>9HL&a+w9ZivkKhf2=du)zBx4?@+If
zo5S;J{V?lhDIUPa8<%QdK7K~_onVF_xi!<Ap5V36pK9uz!?ujZE7y6{)YbJ(SeSN<
z`Li?()B5@IEO~5nw8JiOt|~S-_`}6a7;?{H)LC)yJa9A$?o!s74?b(|OGrz9FDmK+
z)B^b%Jg9(<Y`<=$k^51ww1j8C#`>db2i*t(4Dto5zI?F;84m!%tkOaBK*z)Sj0N|v
zhqNiR&x=q(Bhy-$Vmgq%UiVzvD=XbqrcasP&Z!@~6$k2Y05=g$B9v*+zZ21J9hU%J
zIl{WZc1O2u9OKI|$6UsFBpz)W1Tnq2tK65JutB!?;E2(~yAqHQAp!XQ7G$orfkFS!
zkOw{w*XCnlF>d<$k%cQix|@{ZY9$%-6|X6M{`4v2Na~03LDX3%y+b#--s^+~FJyPv
z!6`N9c+j=hWxFB^8(y3SvytB+;C|t%MA9O}=CDI_P*>4RD=t5#2_w$$Aa23`;>1~)
z?U7Y;ckH-(0RRr;#&zSq)k&giTX`P6Y=BOCF=r7}t^ToN#j?Zw^=Z3EQ1KhSb55_w
ztWkk}UtN83sfY)m!GIS48$T35jzim7c`(!D2VCf7Osf-cKBDRMQ&dx<+gRlF8DH9I
zCIvwd;gKOB<S*`HKb6LhO_zQYT5JsX)NpK|&&Ev(zI(T(@QDcY*Hu-BUQos06g_W;
zHHbohN<1pV|H`XZ4H)g(P(BN_kBWY%0LXbXX&Ltwj}2zY-ud)*tW4lsTH@lvRtb3@
za#2wRpeMs2iSwq^b2W%SSeI0z4)vkcKwpm(``3kgHht|ZNAfbv&<thhW42xt(9bvv
zwUZj_7KV<+GhZ%XqPv{cvX{Mc_!(3rlq(3Jj(UqEG<})<)rH!RLK{pEsvjgk9>*VV
zG_WarDlB9O#`MDi=BuZG!z1jUgwCfASM7Haq&7QAqz_$oXg<ZP8(sjD7TJw?5prLb
zAe9RM<H0jNn>_bT7RozOGD0aEae@>&A{H*=cQYpcM(6o&VLZi)99l#VkQ2bUj#{Bd
zG-2F!p=~b`O&ZeH)9KB}04;&{gOh~khVUr-PLTn}4B&!4f_2xf;m%G?L&KIAf^wca
z5eS<#C3UTNxO|yn%^_?Helt*%AaLV+byDC?$*c?4$mA#_=3~SS3D*lJ)RB7&X!-$A
zFlhikKo=O5r|fY`RZKGG?&U$q-7LPp5f<+E85ul*FaK<KY&gN)-5ovw3I&bg;N?HA
z+t5b>m2#14MJPg`jMV#2tCmb`C7ks1^bq?4`5}7K?c2wk-$A#Efd#m)BEHd}jzQ%Y
zS>n-3i;wrV38+wmAgweDN*uh}o+#s?(oNPofX*1dgMA)>xo{;f7FOR9t#40ZdNY2o
z>f|A{FxOZA#8tNCx`~p2_5DU=m8E+Xx*%3je$e2sBVp4cWgT7Bq_5YFZ%g_4<43i(
zeEW4Er%+{yfJy*34ovt^yUZ*kn?#s6t}>Pq{Md2uTFsfRq$yt}6kLeP5I?Kf0+)F%
zHjJnlq5xZ=4W&d3X8*t&1O^%7b=Qw$Kb4d72FO_cKI*amAfF@VIM$7(+HV)fbRa-y
zC|>~d^BTSmIw#`1`30_DjLjkE*>@PyQIE}^VA3IJgI%NK;GX<@sCV(Y!z%g<B~&s!
z%+ceq8Y|xaeb3-Zl*O3rdUpaUp=P8XL)M5x+K`{fJcDY27+Yu8g#n&t$N5)HLa$5c
zC2>OFF#;L@9|S4`pf=Es$lGf_(+yaEv#`GLD$Wnt=mWpz6smB(0cK_h#z0Lp`)%VE
zJ2snR^-wTSIs;$##?Hd>@*&{&fV*Hrf=mXh!nyJ(O}j_?a=D#>4L&_RQqt*Su4TGX
zz08%Z#igZ66UEM%x_Cd--*}a3h7@#2A$O2B(<HFC%MKH9`OP{2tkt<hc%s4_Jm9GT
zUp`)@kwD1tVx;fv?>B&k$4rZ6<nYom$CdEju@s$vf0WyN$#Qejvxi5T@`?k!+bV!X
zu#B5gOA7S@IOEO>yAS!#Jx}(tD6TwSG`7+BuJH6dweFuGy4F9oRr*mM^Zz|%dZ6w^
z^gQRi=t4BIgHHs%>YB4Qil?=TJDi~<&Db#Q2+dv1-0c&o(sXKov8qq#LPnfouh80)
z<j)m6CZ#tceKYE}=5gL@>)9M+JYQ?-MAmHQ$-rFQa_b-C>RTy~>^-<u#&&g)ss?_3
z;(hildnc(XGyCf37Qf!|0{8HJZmi-3+PY-2Jm&|VhMaxIxh6_oI!P3*aK5Jr7iy!Z
z{+jmkp%kqvq7l>@wYJC>ZD$7URdi(6?Ni>IeCozwcBK!z)<1qD?KTPnMc8_sx{f@X
z>w)8cm^4~dKIpxET0P}wG3qQGet*7t75UFFBVG889Kq8Q?QO^HcPI47Lz6LHAwenZ
zTDMu)rEzQ3NACK4q^j>n6vFQl4fULr-SO}%*}@@qTPG$}<Zd;W+_wIqsA^fByI|Dl
zYoj_n8h)2O&XD`H#Afp#-W4x~gD$V2Zxt^w;LPgC=nb@x`77t=5q14~-0t-3xo2_5
zJ~Nh1CSLO^nMiFHKSuj^S7HsBJpZtqaz)-G#Nzy45ucL^#;F|SHcubhkGfl3DO#nv
z=SwYRBB-<Br_Ywswb65s?PGYuwSMHmOMN7z`ryWuPZ^RMer7!Kw|wWWP`~}f&yaQG
zgx?Q^^vAM)0z7F^f8o^RZ=c|+!1tM1+SlPNfacw5g0<tN!)^Rwg<Ygzl@t39&wpg0
z+)e5H81l!<mV>O$^1-r_pEdAl@$&-yNNQf&rK?o+`Mu7~Z<Do1bly87{l`~d_?~6E
z>I9km*#ikp&lpKO>tt?d8F5MpkYZ*hWuOmf-!3lEs`XY}a`mp4r@6K=kYvR*PLz#&
z?|asy_rhytJ=lM<W~Ct292LqV?rHumi>HhvS%r~Qv669i^6{ZLpKJd(FdX|UYb)S?
zT9Zr4r?+<WBpYMZ3)!|A_n1ptXBUe4>U^n&b?a6J&3Cip`SunGk@sEry-h`1dp}dv
z?2u1zv8<ZVS=RjGaK@@TM(XK5_Xl)P9(ihyJSlr|bo0cdSN4KY#Eo{f5S^L`YSV>{
z`Ja-gROQuo{`%+sn%hxM?d>>v_^sbu7};IG_x2lgis#xPN<fSu@7^!lJG^}Jc{qd9
z?#4>r^4nYTR$-`o70sBfeXj0WiyfKWqLnTkx&O;reb3=YY+p1q<=#Rc6Z9)i<sWDm
zIq+eby``ZMUk+?BBr?ntlAh}p^{A$2W`-L37Ib_ob1wW>3$WN?1LORk+WJI=e^^*V
zVR-;G0DU}8Xu$c<l9f0+Ky(DInU@18tbM)+f=3VC`rznV&>jdnfN=JB)S(O5{2002
zK9`rnU5lgZCh9_P73dn~=H{?l3XGOu4)d0*FHoXBDipM=*=tgYCcuA)h^&Bf8GRlU
z+9<27+^$-N<kHC>J%<AbB{}c_ydAQ8PBil%p0}vu651_!A^cTT_=um2A+3}<`EhBR
zpN<1)9l!-0F98VXa6wMT&Ta;H8s=Wq3TU&1?~HpbOnJd`yoC!J{Tr`^`QF}MZ*Om8
zZ`5onhN*9tw5yhRIyCASBXS;nT0$g>1dsqIZ7LDOp{3Ot={<tL7(yX<`0!Q19u(>D
zsRCG6z{vRQ?3X+o@B)Oz#MqoUbHZL1&JpnGmfb?w#Njk}I&NU;S}F2#obcVD*oHn#
z2e>U{i?Bv+XIMkyF11u81=*sco*vAswCr~3uTkPP$49|!5LRK-0FJJzx{0I~c~IUu
zA~?7TGknp`f~ZRXKX>B9C0uiypXe3g&^-$mA4+OdZH!GUbd3dZPrqr?%d9MnhDEQZ
zs;H<3?<_tV_}{zx!E@R{@CRQdf^Cd*L*AvXCE<<$A?ij0L^+EjmUEx)664#^wLs+j
z>C-M5cfDkSs6gwWqO1&3+G}?76W|Vz;YJuOhfrwX?7%1hiXh<aE=HR3rJx^y0u#VP
zZ42wRZKz2~KP%?&BY+JabTHvOxgHPJWE08<7`XNR;?NTm5pjgl4c#-Uo&nH52qqhV
z)x`bfzt@ULD+8~{%ZV<AqZ?ViFZK{;J0q(wVDd$*V+<Y_<j%pDaQn`kJO2L2m<h!9
zzGQp&@CUFXekDkmMJ+^-QfD!Z9qLikZE%yL0J#KDG4QWfv_jA~qAVc>DMSh>D6gG|
zMDcv?6hUBJZvSY6kR3I&I;fT`W>C(C-@Utc-##{|K^siLA0gujdUHtV@EqlN&b{&R
zxqefX2+cwZgep&E@I5h&oC=Hz%!iJB8uaxTOovO*lx3qr0YjCRxoSbi#^S;S9(NK@
zmu0MEl1vaX=hu2d2n%c|%(<3kB>ltMt=Kc#PZCpM7Ez5xU6z4W8=qk+;M)xJdQ9J6
zp`?M~ifn+JG~lw~IS9RQDg@s!a_XKEL_eseq=eayXjX$6$5FCD3!_efF5(niD;C2>
z&JtB$Iy+583g1J6F*vmuE*8Rk0c$bF*}f~R_L%94Fyt2nyvWHZZ(R>2iI~}kaf7Gc
z;|e2;#w6EiTdp~)f8@b)8{7_(IXQiI>TJ35sru{Jpy?f}Y22-s?(B3;x_L?1-Mf!u
zSMwh`di0tNRodM1X9<an5Ecx<exVlz_5>083{?adG<px2Q%1P4{{Ej)x;~2Yz@`Mj
zHl^^FR(&5Rdpx(43Ak|UTO<JtWL<{v)vp%o;C@U@qf3!vdh;-$d<723$*BMCIIA+p
zJMK8ZZ&@mx9FDJ`av;FV(4XnMPSC{j5RwLLuT!|e?tq*CaiI&T&Bji{AAP*FwiYI6
z-ARA&S(L&bqYzB*iK@I<g3FtIek(SV$=7)eYHomg02t=Jd*_anLom7DDl0BNL9Eic
z<65A2o0;Y*T6%gVA{@pKV`JHxgANKwvAVO7NE${)d|xma?>3dn@XLmm?qWgHI_{t5
zF$*^^*Lh@gbmn*cX@rM?Jp6ovk4Em~zc31buhuVLlCicS4ydWB+6L#7+d;!)OSlZj
zh1qu$*y|u=!EJBM^N=K!$4J(L6?-izDH-h$)=Yps5(L<jB;MAH3yfeq0an&%#2?jf
zTQfkM0B`YCfT`kf$2!590S8Z*Q?OzRKO@aKovw<f*Y|oPw$o=rx9|kxTjB!Dq3ZUH
zL}p<RnlXstF=)}q{L4YtIFaP?e}SUulky&T5N`c*fQ;EbK)%svfP}YbxQt4A2?p5R
zMsd50zF-D_4uO+17)+>WNSn(g;)#%uGr;CF{Rtq6?*9J^ki>0pOIoFJ^WIUhk3e7D
zt7dWL@DtM-a1r<YsmX>hl{2}F*sdYprCqZIbY_MTdTyL5;Q9!?m_-;4!c2uuPMI$L
zFT5B^keqzi8Gig)h#|f;9~j@nsxjQx*GR1l5`9f)#l*%|!Tbi+D_cE9IG=EY+ztq+
zuB(#)Sc@iWyW@@^7O0Pih(v7fi{zs*@Knq`+X?$2%vRl-hoIsnP=9YjO>Fv?FGI<T
zIVTmBm0m~$fXf0C6AFtJZ{E1^d5j9p16~J77zcSN=eJ%QsQnL+4}<eI&HS{UJCMaq
z&=?|zFdHhJ6Jh;A&=GXkR;NnT?p~6b#eD_PI*EmYj4~oO1LNeebK&M%@B0fe#QNu8
zls9ibM5SWf)m{<xyyRqSP?jHmqDi!p6kz4{!a{S5#F1iJ`9<{C^vs&<J)t<22yb6V
z$o>27;L1VrX3+K^FdwAtS8rz+4`FCP>Vz;m`$M21ndh%F6AvzSU?Q>>+bcFJ1eQa6
zj&cS6!3L9~u==|<kAyA{tS|)3Ac?U$XfX-9UG~M4<m47~${3f{fdJ>?}1V2D>#
zWY;aBVW-ngi=a_}k{ebrwC)z?&u5{B!%wAiclch<p0iTlC{P55=JpQpgeOlhq}x^h
z^TxO%UYI=w4Hg>dnMU(CEJ9ol{QX#D@0E4wXlo-5kXnZmhc2Ql1+(EHl0%LLkotQu
zF&KJ7%;o}?x52GQlUWO?Tk)`<y=e1<(rR&1S#{LO^4vQ&UOfoHH(6A33|S)2``0fJ
z5;~i2W&-L5(lhS-?hhLu4-ax~M^TYrpTRMQ%ExWhk(Dzai!%|DW->oJgZ&7FL^E_t
z;Bu(FkY^xyBjI?k9Me*iY`i?7VFQ&;?M2=VZgQw5&NG4<p<)k1B%p5JO<@s{tXHpw
zkVuM5TkNX1?9wO|0em8yq-t%2@5$<Vk(gM)(|TjX(P&=Dl>kVfL@Xfo1wV<;=#7^3
zpf^U@V00rXM%K&NIW3loSU*-aHcVrk?JU{|o(J$6v;mmG0J*;nl4uBR%p*V=?gn{W
zn{Nssio;dXE;cYRPVBPj5B`K!Z;`vHm}-Pwbnw8mYbnN-9<n&$=$Mt8>*4PHE-~?(
z#~qq6z=wyi$q>^}v5o=9!zpqIc2Z#UsEh2y?t?zLLD%Jd?CKIGrXqwYHA}<3%1#3o
zW2{n+@d<|nh$yi2IZGL1h9WV<&m`~C?U#Th{kHnfe9UtNj{|ua0OcpDk>nqZFtGTF
zh88h9u#{uNW{$r5t4ttYRY_?Ei%jxLZ#>@e*|SD$HmKMzUIC{vDHt%p#NSo~laUjk
zeBj{X%J>_^`-CJMPbZI|4&jwO7<q$rgF`yKV-6n+m5t{4zKEyq-rY~BMJW9Z-%i<`
zaK$q4C-1dH1puEe<q9;4Q3IqS)l1!feBuQ_SIt3VVxlC1t066ci>!{!@CuM|L^Gb>
z{?9)zZjMxc`^HhHeEc{!87rbA@M5?<(q`1@tV6PpNg2Lr!v<6BEnBzZo5)cN`E@&u
zdQqao{LTl$b|)ia2s!|~3=L-qrR?1AdX9rBxf9RftRRYV$Wt+b6+tH7QEp=MR7ul3
zO=oe`4{<$^qG5VbMRzJ51hb<;XU!pugc$}h8#E*Yh@Us-W#MvtSCGW6%B%ECyq0%(
zH=HNdM;k)Zcw}Yc_!58h_cygC7PY=}IV#Ln`>Xaj3&{xk*ZCRfUBfFszoUl=gN$vO
z*sODO#e(0y;1>7}c&zdAv0MLWn435rkN%y&>hwqAL9tB%Rzq}jG*cCLyau^djV^9(
z$XkL&4Yko`RuR=d$B%sNT+d>7cQlkXaPzX%>xOirIt9nWt1v$*_00F-HMio-m$A=c
zyRN~RaROI*ed%zrGNzll?FH^>bdPX^KQeg1S_OgE86}Zu33fv#qfU1N-jhm7&#>1z
z7_W<~Je}(*OoCDp+MK+KF-XnMteVa-<d1HAUR9e-mv~Y`!=!pJVi^>rJCAK1yDjQ5
zMBYOGHCfd2z!$Zk1S)HiKAIL-$DPFD_AY6=eufnO{^Hk*(A;Fnq$f|fyF3rF%C;d{
zv#%^4%k7A%Cxp!?z#HBBtR1dAAetL1E40ls<Cwm1eFk+N@T~)q&oBo^5M;==RA#Vp
z6y!V>g;+a!oX0VYy@@*k*j;+hOJ4|k3O-Jbj4*iEy~TOb{qhoOG}P&Dokz(eSjcoh
zSt(ly;y<BsM%kdGrnZ&t842HVfWRrAo#ZBOprbp-w5z5J%^9%CvLB=Kkg-m5$m#>K
zg|upS0x@tU$86?Gt=X&NI4^0YonOCw3o__+PR{Sa#wDTK9wDJ|X#cQk&dl|rWRXYv
zYx*6iAs8p7U~HumiA6B(Lph302T$h(3yYE;qc~F$yAIK5qn0I%LLZ|$RR3pOHt!D{
z)=euzci#B~EqXQH5iy=sxMsK<U@K7I?2vZ7g0mB8E|}DVL26othSulLi=6**4}}MA
z)+Mp~;OT}M(yz%2gR~@OT^487JIPF<0A2ryEi-+J0`aisGFB{adqKpN6~remVv=A*
zLtl@!(&D|xH26WnaF0g=@H}XE8HfHYfBja-kWh6%VMQimaWu;EeC=Isv2;=0VZT3G
z?vBA&I3vNq)aZ<2S(~$F+=>G;kXM+=5S*Pog$~@R8wxr}At8G(K*-3sf~(Yx?G*~S
zs^F1fGwkO?OjZ8;?=)=3pU^>Ei9iw+PA!Bc6eYcLpE-!!?m!uaKtkq*rs-nCn}Lk~
zOYr5_u*p8K^#;@h*go>GY_Kh(c-Z~J-y;DPB+vwDa4rx{y^xV|D_&vn4(<RD-iz})
zze66-m;dL(THig3Jf9s8#>?XLKpmEqk@2mj2Fgl6`r8g!d<CAo3pVH`@hvBzh9{8@
zQ*gC#<sv-8!Qgr={B6Vj3iJQBs;UmV9F(irXd?3S7a$u$o{!Zjqd|0u@PWQWO50M+
zlb$|`4G@>;El9kn9LoczJ$`FraM`VGLP$0RC5tv1Nm-*X9OC>YG7(IDp=Cfb*U{Bg
z3rZfi3;sW1jj&lQz=(ziV(Tf@d9$ytZAv;WEw*YXSAlU@>nWli!9$Hv-^!}0xDl>E
z*$Zy3vipf&1r`mB2u$_F@WF=rEME&{-VE~)D<sGlB~Wjmej^lfjS=4e1yHY2uW4WB
zdp)#N#RT;h>JR<fk5TOaZ0ULu81+~^X5U{9FI)^$dV!k4$Mcpnjm;;*PXLNA68Z>`
z1y4Zw7f@CRVD(#j*};KNKp=vX!(s*IufUNQ6&st1cxq(hpEFjq*#3I4!NRBM1Q-Ku
z1d~M3VbSlB!L;#(?%V5@9!x_2h+YTEaZC*d0SL|kdInJ^iX5fzna%y<DO<ly3SV43
z>lniF-dStRpZYjOj63mHsl#^bf^&!cEIcdOiYZs5d7iHr<&7HM)~v@G_0_vSV<hHl
zpv~-j8*8A0Dw7!>*)@u@I)v@OVIOgo*Z1v`s$2st6yn<(h4Q;ttbUynVDfvXxhO%C
zr~MGmTgka?V)EP5@aK}hs}=hWXzjdzl(NI-!w;AHlRlx3FQ~C6ICA>%xGTzEqfQIh
z(UvA?k~{y|usum)eo}I6%2N*VJ`Z-qBpyF5@u5vr>b@k3)yVkj5B9DGBvP*0Slm{B
zW~O2uvF>ILS-xm0^+`#H|HDVp*^b-`TbuR9-N>Y^EE}6L2OSa%$F8k4VAQyo<>PnO
zD_~mT^M`?R1yig1djHZ5^PaIX;lDT3o$d8I)Oapn=0Jkd<Oh<c<>urpj)doTRtHS=
zTJB@guyXjo5>=Re|7)q-2Un>b4)i=lg)67yALWNy1w5*l^3u7mf@CB4`!1(#%NMSM
znLM8lwteCPetX#mI8~C8^2SfpJ~g)S>unYuPEO^WbV(MXG5I+-;99`5DttC?z=do#
zBQMxyC#wJib}vKn(3PHx{Iw%(VLoB^BNTqt@Y>tGYOn6dpo~;W=8Vviq_rKHD8?R9
zRIZyFWNJV)U`9yIDW5-5^0<Ho>o#X-%1^ZOzDqnhoc?oTqA{gLxg+(A(>xQ|uF+y*
zQdygJMj!*$v3JZI+OMb(Vej0OoN$=(R%lIT%^6lBvgJdvnD4%9g>q(wKc}Ck>Tr<f
z3$k@b6)#<q`MXA_+Dz$oEEj2Xe6_&K_P;6F?Kba^=c-Y5WM<o+j$mG2z)tooW+Hbs
zOqrCL=5dlPj8?C98=l9V56yOX)yDrgELw>&acsmVLqI}(ID6NOXqsOM=ZQ-j5C3`l
zG~v&|=6`Yo<EZNV%<eApqPempH9^V!iZa_jif~Q5K0c8(>KFU$)^75{`cL|H$L?~H
z04(#1x$ZY3CnRN`?v~PqT8;l+WM8iVjD)ZDo-#cn64Mk^^7q8_uKfWgr{!7x{8k}H
zy?raJqU>&~B6X0I5}B+_>2FDO&{;t<Q`_sYe_L%GEfW&{aHb)$IVmB*6qHzQ9q)De
z4gZQ!<>DVbI$KC3q221bBnE?RZ?2ctl7$1ylz{}u<84k3usA;|nrQf2oCzAas3BvE
z8r#n09(@5q6VSbwau<o7r@N;IWeSodkg<uVez;i6Azj{9uc)G^2(3;7`aGlxjH4-l
zqy;C77XsQ*6CXNo;6mzC8o3127n$a?^m~Ei;ibguIMJ&CpD@?0jjNZ>Ei<5o1e%F>
z7<8lZ<H&Er3q2!xLg2v!<S8qg|Cl}vKLc?IOF2QzFTPrEKtl*od}mkNgvJV*5}xJy
zNZZ9_1}!?IS?UyAuOBc}0M|v&hMZ3vM);%F)`LhSk3)<gvM@wc*2-Wc0Tr1)?HwIe
z5ON^I8ovVueHJb&jCxMIbLTi}6->eye@wrLhU44UuTO^$^?bei@6k)l3d^0s`G|4n
zkTLuHazKkQH3i%6#&zq6S>TxzF^jLey}TCo9KAt34?T5Nb#*nILTHHq3!<MWXJn=E
zZuzhzYO(7>u?9SqJpsoH7+mG#DgGMhEzk#nWi{$-r6>4G(_E+XXdVVvG~x1fch}{<
zhj5-@NdaYN2_(eY3_!CK+i_PUblaxy_*b2$LP7c*kQqTyQBb20JNzT*Xbn}k%}pdj
z-asV<t`ikuBr!-~7^R?JNlne&f)1qrmHgv{uAs3P?f$vsl{6!M1xu*@43t=Q7>+@P
zT7zhS+j>r*aQ;0qvX`I#d?`)_Aj>-lw@bPijx<wWVE$;nh!Q9S1#&A?is;xeBYVKD
zm5`}dp}U=0w~MBo$!AG$J=TLbr}MeJxWM_9mw_uF=mz5lATvPz$tB=SD0iMedlnWE
zfvIE&2%$2oD=XvjAo~^E0R%#*adwE?JwhXnX4<s6T?MKh2dEXu8OXvA7WRl!LD6|-
zneLr+0aeqCv6C)wKOhKdXlx`}fRiUfyO8M#`4#~p;OW8il<oMNFGf&e5n<a;o;cy?
zMiUk;4pltr3H&0exl+$oU|Im<8LD7?pOP6}MT0EirKvFU>psN+8&zzH);wxsUo;2x
z$j4SmA(M}UUxoa}uFGF=yy~F>t|eyzu7Gian>pBm%(JD8jn|HY8F*<yB8iKMxsR8N
zX6V9QQn&<pe*H#40&2>hLx*0TR|1^BV$~YzxiM!ce0EnS*BtaH>9r5Ox3pNYeL_Q1
z+yL+Zl`}Lmke(qWv;V#)fYa;C&$cWIrt_>=yTkT7aNlTY*LyKQcEY4_;leY)n{-V*
zm&6FxM86eLhu>dD{Q5u277AR2+jof5yysrGtgF}sL@4VrFpelUP(*k&P68c)z|cx^
zbHx6kw8M^NF@UA_ka6*V!}|GRf6$L?LV7HeL5HNJjnvfmxVVa2TaA@XypMk<^C}jt
z^lNqz{x4$Ad$zARTVTKqK^mzSDoQTCK&OKnuEaaiU%Q{DcKrV?R_GZyY2*TyVX0Y+
z!aNi35{gS=YU=uml3z3E=TW`awjc-SBu{qR#tj>Yaz|4WPy?P^fYY*u_i1SO{#jmp
z7qF(S&2XzsH)eUQLkf%a4>S_OQ_5e?Vqqc9I3zR_I=iXCM)u1Dk`YAv?=J#ULZl-*
zVM>C@O3H0g)ik~7*t`0O$jC<c7O56M_)S&v;95hBiGgVfPzC~n$#o4Y=(z6d>*CT;
zdWy#TM!^y*IkrzsOl<%D0dPZjhF)c4L<yRFgliHCR#dRa-32s`jNfdp1y3D4HMJq>
z;{eS5V4^O8AEK&7YlZnF>uwh0IFEKBMgg{_q{KvRLqlGJyf<%}Ae#U&LxI?+9uO)v
z?|La~tO}0Q^LTzt|J@rQ_#(<nV1m%DfP#Wejj+B%6`@r_Lm&cA*OZhIphr)P0K!fW
znHJ$o%L6h&%%SP42GlA4<P{ubgxaKeGajFf8$+ENAVEXZnP+Yd*VD=+LrIVs&MrLO
zM6wfPNfJPZ@UvJ;Y<HfdrC}2s9v<EWJUlqKV_=}H<5KIw6@WN6O#6YgZQ8U6-6Xgi
zNzh?1bAY$VR2qbKt95}FGy>_@VwzovG|&)&X^fRVHMwt5$MNCS&>Y$z%jQ~uc4%AD
zzd(mXP&Y8@Y(0+|1k_XxT#(`QOQ&?Z2U0;_&_N{E9k`k%o_1L<7^DqrSNY*FxLsfY
zCT4=2Id`sh$K@4r4?zn9CM^UMh(0tHC3a}&QOb=QH}H0`2hV+mZ#Y`={qgNf&(QAY
z*fCBS7`VE*!M%1=MP)zYfuQ%s98c`%6s=}cJDS}J|BWL1>D1}kmD_JzTN_F=8FI&f
zy5T%Xi%bJ13Rn#LpQwi-&Diswa_p*njWpY1zy0wBX$*1R=zq&`lF)NHp;9?XyK#6~
z*>ctaKqopm;1Hv@mO$wNXhDa5^v0%0H~<3!)$A44?lzaH*zE4&l9Q2PS3V1f6CtUS
zOh_BN;p<zpb_4yRW#v#%E#4Z*D>W?|H1F4Pq)(|+fY|||Fxxo|1n$AAHeSKyPz{<I
zHG-nTF?z_BBW^i53U=I!|3v~-wWPZz2wo==mhrL-1MP|kD?kX{snOU@($g>7ul?<}
z#Mj^l3bD6iHK`tgwy6ieHMV38d*9XnERIUWe|G>CJTgAcD(fkAvsx;&XO+n|apDid
zA~1THpPd^DXKnn5kx`G`?mPc#0b;_!hzVc#)6&orVY`FM5NGEu3B{oQ*uu|`1Ut1C
zp%sNY`7)4gnD3wx#i4IC@jhPt_pkS&f1;DKoGPIg+CH#_xf_~i!OR!wo7XuU{Hlw2
z*!OjZ?So(@;Yx^eJZ)YYd^DN5_s5J%xYVNeW$uvXpTpZn11Cm<JZon&9{Qy8?<04b
zC#G*vsFw>mJ=PhsA?21I)%a|#ebAVwkHKf<1f`^>$hFwFmE-pzKWf3rEj9Z*P+8My
ze=z3MCMV@xIeBTX&8vl-R~1bfj(_9NIAHv?a))Z;u_K*KezcFW&zj`K_qA$0Csnoi
zYzfPI#*r`^(ZwrnCdWp~-79LoD3dvIT-sdeH240j12#n%6zLhYO68Y~T{P9loHhMX
zmZkzva82Eoz`yh6<=Pth<snH)hGhTz2`XpLbQ6<?>~qF&-c&&jvJl<xW1HeH=T>G1
zEeU2);)BgXA}4fplC>MdzPWjIiA1;>4RSxNxFb$eB0SUoo=F2L0wg*C+XMgrx~b{4
z##P?`7&>ZFAX9_YnS$M;hIo3GHa^_rNa$^EPzCQ8*&kj!@A0qt!?6evb3=jl-RhT~
zjK)$(T}d3^rORjQ05f;rp1OwVv<HxpP!E!#silMFB?J7)LHAArcW@ayD{^!D`3JWA
zE!{})#w&gga@1y_=YXv&J`s~u1p(_gIT7*l4<78f^QjC<HAO{?TZQ?bi;S7l*d9ck
z?)?W$yn`nkSi;?v?lKG5#q!*y_(^K9QaR5$EhPXvZC<~=s=nR};Pi7{yPOTH-YX11
z{|$&L=yh3hvl|LbwH@^9mZ?@RZ0UGC+5*i2=Rht*Cw)ZrK+@|dMO-{=<p7jH+K8D~
z5K-#eH2|rgkg7z24d8gtJebh}_FUh<0F8tbJP|;a%6GPN(=DU5-2gR_k+(Sc4y+j<
z(Lh^VM-&UFDpA;>Wx4R{5{<zYK;+ovamt7|?cTkDE1mG%TWA2-1=oPu1-5(`ZGr6X
z(`m=|%FD|`m8%Op5rzTG1<K8x!vrnho+rmGfOP^(B(AEkur^@T>S_cOj89F$+xX7n
zfJ|ImP!IzHLpx?QKYtEj6QgR*+1l=6V1O3+<oFB7*LQ6GR96>HMH>Ww&;(9vFmH?T
zjCy@4s*rp-Vcau%6o7xhiHFa=TMZM#uBDUa<qqujlM@qPDl1WAK~IpHQ&UZFx&Y<U
zT^>auR15vfPdrDsatna4C>v$nr@s~yu#1c9-#dxyFWgxK*)cL|YG{1u+Ax0)gBRl)
zl50@QEs<0P78ZDJ6s)4x6Jv2eQb6&-8yOmE4@omL51^n`JCDx0%XmS&f`kp!B+#X#
zW*$D9|G#}qd`tX2_5^@OQTv}ud(JxJgm;(82X9PR**|~A`3k{#6Lxwq*Os8)4a6|B
z4y6uaA5jmXT_lFr00%?UgfUVGrrJBXI?u=FBTlxXM~+lLN{JdDhbmSWrVggyv*DBk
z<MfgL%~OnmLAiivQ`ns#^8xe(uCE+D9zHSdEXpk5=WxSzp&kHA7AfoH8Iz)sM%4S$
z9V`lXFua*f(Q2Vrru^*e{1|(cg^7h_3R-JOlv!DyKYUnl5VRy-7y!ttGmSmI<ja?z
zm&8yH{+^iFLIf914b<BLnoO8VMWMr&m3$X@{rINua&sYe!JP;EY+fG4>FAHU0b2$L
z5(`Vq45A;iu^GYwki~68S{TAQx9|}$otPO+s)CaVU~|89kgL&3n)jdn_1^oS*UMnb
zK;kWhavcg4+429_-%V20Fq0l)WvT_-4GBi4_aG8bMGMkpG`+;ov<rT;p!!+T&v2>U
zi$|h6MK{%uw0{;YFf$7aIwvfO7ZoQ(>o{p3avFKaPF$RpvdYR`=nruYL$d+B3r2-<
zGGh_2Ct!E@Gc$wPlbWCZ86y~A(jXB?Dt!z8i<SVBu*E?-!T~OQVPULGg_v2GqHnCC
zVnyJkky321cK?AHok%jUnE&4?Tb~OJ#E1B@w3P<gq6Glt4<7~>iFWPUDJ<Ho5Nr;u
zt*xN<7jsLjA^=UpD2=|@$j}hO0x2qw6BE;su;^OCc=Yn+bhzwLc-zq8fwMf19$je%
zPkd^sItA*JkN43ZenEyF6&{Hb&6P~1{ch`FQ<hz>Ds53xLZY;VgcErP#`X|nXFTw-
z3$sGeF|p-Bq98lb86n-ZO0xB%cu)Th>q^xa31Li?hl>xb06ZDE7I+>By8@EJGH<lr
zZe?MgBVDO_HU?D{t|lQ+JNJ2ue&>bv#224k{^DkMpw3C3MXd-#R-(*4rv+5WZMB&^
z6wqmTe+XatBKMnts2%Iqk|Z?t>2xNyx4`R0OfyLc3JL-ztDx`+;<9zzk^6ahts4^k
z2(}PIcPcJhmQ=#_xXcq;67O6>yZoJX@u#5m=pLUzk&W^QReVN0;&Aao&8ZC41U4Q*
zN`^~~x*XFJLx;{4K_C(bghNrb25em88l*{nfwJW6og`B203%J5@3GIh-Qwxj^>-eY
zSw@>8kZXb5<&%1PPvhg^1?S1~e>(`m5?LK}X{Rx-%^j(L;o<;K;B`S94I7)W`LOQv
z3)k|?V+4m`->q7(lIa!51z0SUT7=J*1i}A@j@P>Br5_c>4SmmCe#GAMpIHoE@HUJ(
zV7BIMPA+0_1@fkkgzv+p!X_^~j;_!+*HxbK@!24h2+}xc5t(IG57m-Jrho6{>-jrD
z{AeYAK?G;{V;`^Mn2q503PB7UWVEiB9$jy{bp4i6DS~8?1z{aLjtG-YNUFim?r%6Q
zn{fkiOL}{WF(FV0fKo;Kk0Q7ePc$B~l%yoM*|5EB)zJs~g;p9`N5o4vKzpGcb?6zO
zb9Wh8KE5Gr6409+S5rHe`4z#8|G!cI)Z`|y>jiC`{)nLlG(obE#7H*3b{Ggp_Cib-
zAh*Wvzj1iudFfEKJ%WN94hfVsA9tYP!NUUh4EVh@xLRzluXbW;E6$NX#OJ(zO~eQe
z^0=P=kNZEVzE+sIQQ*HW`}-%RSO*|i(A*B7G6@bQMU)}phZvfQvlg8+!A$71e*1P1
zxwANW(B=vW3SzW7I3CDlapLA*>hS5!wZc`yIppl(f>eQVXQ`#sL9~JyJ>Q~(2O}^B
zY_!0Mnb^5zb1>I#l_fF#6IZ^u8SR=OKc>Clm0b~nO1T+GU-|6+!`z$4Q`x`mzpFX9
z??Qv-VKu0bCN$Epk_OEK6&ffFG#EmK23b-`0~MvDQ8K5&P*f_FG$A2Mh6W^4#C~6v
zzWaH8uixI!-mm@7zW#WgzTH{Yy4L49hvPhs;{?DI%ox>1jTvM3G+;Y3aG!6AU-I*3
zX!NZW9>vcxtcF*d)LwRG`D5QUI_~{`0pKd6CO(@|^l(n=B`EK=nJj$p=9PItjAO&z
z$OY;H#SLXyhT+z}HsW?pH-6Vox5}ulvI_tA@C|G)mfh@YY8Y_kxU|}{WsCM>9Wj;b
zT%vX{v1r)I2UmV4L~TF(;=t7*atGkjOZ}@BY&kI9LGmDNNyl&B*AH<tyWh>>K*b%u
z7D4J6`wNa9bX+_j;Klc45r_6YP^k!>B`GWFzUkAb<aXlX%sC1UJ$}0(6mO;L(%ZeC
z_<iXvW$!wt#8#<$E!Ge97<4A{a_FId$C^t57kjIvpMMk9Oi}BGhHmtrfCs;JdfSA)
z8W`Yu;i=KcGC5D_qT3pV3+C_6-)>brIA?WE`l4E&%G#as6ZKUswq#vO8=Mm@+#2Qo
z+^`MI%vNKHk&A)KVWddbZsjv%Bo_YNhA56b;Z1XUr%6o<jQrl;wpJ-HriaITgg}E)
zIw;o>lRxO91WFE}hR6V^7$2v^1jDEeo!t^gu<Om_`it@Qe`~Fqt5(qlZUfh*G;6e`
ztU!M)i>DSts&_hV-C72uh2b(n)|}HG(Q=GxQImY)nSxtKrZG_H@#AB&#}~*HJb{n|
znE<ob_TuftW=#O|2WlfL*^?k};wV#qQ)%PaNW*j)7M{<8p>V;(!UEC{u{)ws(xw#X
zI=nhkqhr2ryuE1KhW}c&KJO*3&{RN|u;LavHJ6M(3W4YyWmu>&NKA-PJqQ5dO7aWd
z96KDnlK+I__Rzk!iyxjQKiKy|J1A`E`w-^RwAw@cIco_~NY9l}Bm<_c-T_@BV?W+!
z9b4|@jr^4UFZ{;mz1p{xo${B><<{*5?(e*oeS*d|34-ObyvjYmm<!w29R<gMf;fVr
zc*zngYGxFe^z+3%^b&u3)O>oi*~eXVx;wV_RxmGXXjT_-Z`+e0Rfn4QUVp&d!d_+O
z(4j5o?-QT9*tIzN_odYX><4&%i4M6p_xa=g4@b}MDA!?j>CBdk{#n?uWy{YxpO0HR
zJ3qUVW9c(%p0{h&*FNjMoO1Y5u9lqlZ9>X30w|7}BcV<S(SKZ*YX7A>k~(p^MEWf~
zlh()q{Y*Yj0&{g0=mJ9dK-iG)Jrmr!i<O|tL7hbCj@Se(52#)EGMN?#v+rJ>yPtn#
zS5erfQT7@aH;M`mP-s%I2}!|+QZz7ecf<WgP5&ef9HWiJ@Zn$wcIhN6dm(p{8rvjO
z2ao#Buyg$6C@71vRh|ISOiRg81asEMz$v{0(1#7c-VrvdTbG#I{wp#LqhMuI6L=Nd
z4~37_=AVy(w%XAbK!zg!NaOS-H3nx=HvW=am_ICFs*;*&#L8WeVu8rJaAD$?{P%Bf
zcZ>0Pr75y`$oB{B{bF!%R^HH)eT}*{!dd#!`0!v>#zk>W;Z_4HuDV(w6^xE~OV({`
ztMpK??}fL_AO*1Oy<b2_l{st!i{7z+PRd8ySnf<D{4>b;3aQLufXfE-YA;O?2>{BZ
zJFppJ;Gj}_--(LS%+x!am`kToKp%&?tD_2KG|8l+#`djS`vm}KF%Xa3^`F;0z>;OK
zdp2M~@t*f8Y?AzN7r{2B&=THiTy>s&W!If5UAuLID09FEZ20)V^zQb-MNj`RQNG*S
zW!P#}g9i^EZhgS#QkZXJGddXvY}%{)mDB!ya)?2I;*=H8D*gPv6&1~pkkV)+sRz!C
zIe*~5%*=eiHp|f^vX>MUW`!Q=DSR#sfe@mdZNG-LgieD*$zlQqM8yx(jKI)6^7n+a
zSmrlCS>f#cjbY7w@Aqe+=|}YSF%NDuJLdtjkaFxz-g(4f-abBa0dUB85;F^n^w{&w
z6k9inQe#tS0085;x5C^6{acF`dzCkwrLQzH8ltl(ZhJ}ZS?mXjKR#y1qBPMY32Y>b
z??>QDDZ;}sTE2Yy8cAt~Tdu<Qa4vfOqD4^T`zyYE_s)r7fyR5%Hza_WF?Fzr5J+t!
z;$&L%R#Ms))R}%k0_jfTZ61^#&l?swYCmf{E5D}DA~F(;qZ@;83Ube9HNE11)dgQ_
zhP|(_P?#x|^l?Up(XACLl-HHs;p9y!+275ccj029uctR?@L;JFIuaF2<rGUqwLA-h
z3{KlnK@e`y9r!!_UXQyEtUM}C;MI@;t7mNgSM;)cl?V(~^m06PNGwN65@}s9=Vrsg
zHayVmBoG|f=_7IT=OHL#Rruh+Fe(^urqd9Z8a+Pxt-I*`61M+-D#No*y=c<!(M^w(
z3It79qGB+^_cS5$QMT6BbQGuIlJULrq*JvZXhcCF?1$R0=eweD3(>DF_N^OF_)r>A
zt|;TAjEqw((CfrzEDz-a5n*9?9qZqHi;ErC``|~NfZ6Q^L!Cy^>3XNNsBq)(zwC*=
ztz_q#k9VZG>~Qi&{oOic|LlC0;nwTwm(a7d*ZS{P-j=^=qT(*+!u?xv(?>i~YBznu
z7QKU?E}w>C@cP4plxtthI-X8JdR4u1>dM8I?CxxryX4pP1Nml;Vk_gPh&NnU5of>d
z?qoV{nM8tQu-j^V$$*dtA<vZF*Cq8D+r?Y*AX(M<eDc;B@h8_}`MZ86Ul-k!jJBK9
zV%BIaRfW{B2ba|{UyeB`J@}8jVdZkuj^d%g`ObcNo4U@B_?P6lO<Wf#H!HM5K<KPX
zDRUcKq#J(!YktbfSnk(AInTK1lI;s>(kjvhPZi&B@bG7s+FohvqV8dvoG!LgJY*kc
ze9`ohRrLcc?N23|XHHeD-n>jWGD};^B-;FWfvAOWibNm5^Kp9QkRNT|QY2dD(yWnU
z{Y$Q0yF43V5$}853!V5fL3`Gu5p2_!MS&^U;+#%V!P5jFlit<yQ!|&y;*PS3)TELK
zOwNERqKymig;)WETlJttX~3A0ulj+eXC;oVKFwsmy9i~~n$4SY^jh`ytV*5UCoA6B
zUkXk2uIh~+)<_H(CQ>Xztmk@njndU!P>WDz=rD#DJGQPwSrph+Cqeiafu4K<>X;s#
z@i={~SHhNIO!|$sKYVMz11MNZqvxWsC%uJ7HQUK7Oi!=1z|FM*H_7VJUvw|oZCz7R
zU>ec7RV&3*W=uSR>P1^j;)pjmd1FlupGxc6+c%|E6Pf*&c;6C<Ow^lB{t1Ew|M|-o
zY(ftqriGE@)sFppbk#U~@%ZsXq6(r1pyH09{I1R*@IoMG&AZvAP1k|ZQFj4h6cn(=
zOk>5Nq)!6}3}8&m;FAmpGYNe&I2^bTo+V|k0SmT{@nfvgaXwy;xCYQ|pdh2FTVZU>
z3ct6HT4l@78-6iUg-yXPm^t0c-2%DZ=p8X7G|+U@rcFIm+K39D$b7OVm6Wkm6i^c$
zc6+z-*K>6t;7J#y1O4$$KKt}%vtkgFIxYse_-N2H$uE8J>=`_(nKNc69*4*(Xjj<1
z=<15?WZT|D1U)_|<(5nW6F<WRlMLsTsGCZ{F1s^+exP-Rn9>g)Ir1kZBZ#e4SwCma
zL#|t&cW>WPGNitG6&{r~nUj!^5ODSC5P@63M}RG#)P9JnYV^ByqH}JEvf7~}7k-7G
z-)v!Jci#9Q^L6VQzM3}B1VYRcmSYPZcgDu}wmGqynqm<2SZ*o1IZ)-$p&bC0Vn$D!
z${nL@zOmxA65!d-mT?CUK0_;&n2?b7>60J<Td~6L^y%L)(ZCrPET%&;9WGI3R1W3^
zjf4W~JgJ+tA}n(rtg4#!_AUHb?a`y9+Ja9VOu7B-d);BntCooyQ*3QoP{FGpa^?<1
zQ#V>@3=mD4yRRwAucj@}&CL}iSoc8F6npeoZfdHbqN3cf<Aw9*@3(^rAXxvC)}@Q;
z>&jCi!o$b(e1Rejc&24O#Tpe@1J(Y%r8e6k^4ZySvBGIz6T{Q(+qXlh<GfG>v5b91
zpa<uQzoB!c1_)Qu)zu{<v3iv6n~wE4Bf48oK(6uex{4IsvrJ6lK85^4LUNJ4)$G1Q
zhPWR(^8DE|oMi{}f1Ti5&I)OFROK^<ue3s6^#sC!y9KkVgbUl74fDzLx<ZAG0zz5{
zKSO;<HTza2dmJG6ErxSY$fGVk!7_v;^XKQHX<Pp)@bItpqL;}lWvQZ=lZIs~X9Qaq
zOhd4ejWT@BUMMLD9>6qlApMb^4Peo?_I3bghuyYPKT>URJjotu@7{&0d`D2>F3=$I
zDzK;>G{<l7g2(yW03fiNVduBT3ZbT@ii3H~0~PhDUo+9KL4WHV0!jy+>b|O~9#S>~
z(0XMpdk)DIsx2p^nmoxj(-j{E_M2dagRTv2r|U*m4MjY_Sa6)u)M?XPJv?UhkdM*b
z^?Omw%X|0EJsjUEeUJ4XgOAcH;M(YlB$03|-o>32x%h~gLxA*IF4CVpJ2EV+=%)Ro
zu2zk{e@Cq7l6b&-DylO9ObwW3xm1S}!B(2&C70KIeTKC|4z(Y&Q~O8DLs=-GojD2!
z6Iu!nr9dU6u?Md;Hio3j#$Za4O9k6YJQSP`nD~`0s9}7{L=lT1is4n$^O}hYPsnm@
z--mcPr?<^`^k@*&h^*fbsVFy!u=PC+n8S#J5w@VMA)zZODneyp8;e$tFqkD_zbOO>
zewO~D`uG1N)J&babh(LnjMoKVy)(ClDdK60q1ml5?cH9lb_L+E8$4!=J=nf+iK2+Q
zSc@HDWj}$&Y@CPRTiIC3^bMwEfXL!7;jFi}V8}`=9GCqLy!h3tZ5R;}JgI*KaTf4~
z5Oo<@9}eF@HaR=ac0=anI}YW8W`$N1ODNSZf12NHQpyOdJn-n%AJ^`0!w|Rt-QW0<
z7^VTk`uFdssMs&uV@DF|i`Fe$ZsLFh1msaTT^H7KQjjy_qM-fW{$r~SK^{3OxLt1N
zeY|KjNNvCXGmsng-lzG^kgK=>a9t-0Gic+I_M&s^n(F<b>PF%F46L|uPUPEO>yLVQ
zt=h1G<E^^Dgs0os*g&%9;y3n-qO(Fh;PmlcGw>V$CHK+mH*8Syn_ikV8IPgTQN?_C
zHUlXxe;()Y-f)43>-kHU9=%H^@IRE*N=I}!0Gs?PS0(NjKv|dtmTA#pVP40Mk!fKX
zoxFP&uEuNA9p5!cZlrx4BEl!6T+$LP{p4fxB)@rz;UC$-m#(NV4qdq$yD874S##$y
z-Kit>kZD`oY?tM`Id1*x)kn{qiG>YJ5y6fNJlwKk97YWu48h5Yf2RJUUmMXxfu%iv
zz8A3=LKn=8z{F;<R2%q`=F%vSqM3j3{hh|pp{palBCBm&v1{(3-->%mnxThTG%w)d
zMLe&BB~tWcfQ4M|=Df(?21LOw5k^!3b>VElI!MG;%x_9c8m27eci+eJS|$C+6cZC+
zp$Yam8SKFr&|`5QH_OjLz47}113Ux~Y9=w&hqSYi{R$(h`SY=LdH{i%4iAx|q_{)Z
z;U8%{1XUZ8yWq>0lk&GQF1sEa{HLxCFmphR+z0L}h)C|2FPE5k<!|HO!Q`e@Nw+Q%
z^*z+`!gldBHYSs6AW6hB*vVDzecpGKEC~L_AJaDA1eBP&!nGsG_wkb_q#Ca1<<>A4
zkp(Jhn4%D^j<cfvw%p{n9kTu5>141E@B4x092_k&IZo5Mckf<GbQY8`l7~9TSL}p*
z1tJ(^A4qEC99`_pUahK}e^TZ`Clcu_T=<$MfjR(@VgOwXDHG<vZ;}vJ^b9uK3u#r+
z=lR&2+|^0ehtYBfjFX$bpQy4LTZb*bA$Q5|ayA%<>u!*_(JYU8$#HL!_wEaAFIt8K
zUe5HCwrdx3ciYjD4q0f5&rCcioilAsw@ka^Z#$UD-I)Ea;?=IB!!~t36~6Dl3LVAy
zqvB({F3gl{JMgFaySbUWv|aCa4b4;l(i(RJltnDVwf|5>g7KEo)$y8vH>OK|eXHrP
z%*0EouXolzcyM3wi<KRnmMq5Vvb&@4?K{e^9-2P!^{i1I`JuW`t@_({T1s9gE_O*?
zdmQV0#fE|Jo#XaNpFP(!)M{8Cyk+@)jaIe2u3DN|UiBZKbMQo`eCd_SZqBd2jKA8d
zVa&Aw(<KWBl~q~hJ$<S$f5xHi$%8H_E2g$Je*2@{lI9~Lo(}8<mOLqCBm-S<%$81U
z8nCO&+QzDsu5%Y@dYwCZ@h5t(*2&s84&wLZ7cbVz-PiAZr`vz-aGX@y)*Hf|m+<ql
zzkQ`br}%mmWzaF3m=Fmq`l(ah?&?9aC~Jp_7#1#Ye6srVaQSt>({poJ9n}sb{mz2s
zCgrqd(2l*$<8)%Bf_J${KZF7a-yy?S^F_b3031MS;Bx%vu{mZHYqk6LKL+1|o|6)|
zx94;TB)v1&Hf%O|d{ZS+24et-RAZSRJs(pZVfjE+NsfxJ;rz#epxPD4v*CX%T^dd0
za_7#h9yuZxX?#Qd4rYpZ`Sb+xa&nB13+s=#+;4g{)I3}_=L;Wh)2}$}#2EhDE?too
zc>a7Y8wNI6SqZE%p2`s}ZS38_8X3=RCq2=ku#1Xm%j~IBKSiaPL_|lkU@43#XJCtO
zum6H0titKhsgp#)I8neJ0}~x;_Uzru11<>dCrn@s&yb=mBFD}Qm2Pe>Z6=o>ZgjAS
zoyjssH@E55))D*n>tW$W0MmD6`5B`M0=SHf2P>C?o^p`2(39&n5v3ViQB052(xR4p
zgTe02o0a9|9gV&m_#c{qb_fg3o{fXbh{qD?nnXzNj!q(K>u&C^z`P?lf$xp44`)GF
zGT{%MGoo0SSxHGMuo^!-2byT!1Woj&=(OIt6_gXOS@28-$<cSEX?J2owQ1l`Y}ka0
zF`SN0J?w&n6Z~3=c_t4n2U0ZB`|z{m6cEF0+v*x-!;JfYMEsT|#Q=2zLVKb&L2lV{
zxduEaK#7<vtFg8W0Lp>+IE_H`m^LVmgw~CNz}O32on5K<SX7yNTFHY8wDO6eJ!9fo
z10N3)cDpunn~VBxm4&Cmi4d}(1-cLJ+jr8=bx|0gJOBA=I-xhAcB=qLGK_<|z|j>9
zqph;W@&0q4^0ujSs8_vCoFERz+I?TfK$N@0SJb>ki)m-?VLx$dto2&h+iZ7)X9<4G
zQQ&~qQbj5&E3>|!?f$|9aux}iuu3I-+}pbnNE`SZ0VS(Lfg!O|EE~il6SFP<Df~f}
zdAz-!HUO`8NRm&V4jnh{4nRq0=oW}be0IPav{qC^#UC9+q5<t?J$&o~M$?SK-5+Cw
zIkAO?7?EmRoXMOy!v+n~gO=4<))(yN11VmuW01&(a{5J%F%3)Gr+i7Ae__X8+e<m_
zKulalw{BB9p>aj>#rT(-!_kR{Fzz)BOML!DgN&7a^l3`UT)MH>uScn<6i_V@$-CU}
z_x1f+QZiTIryeC^d`#vjj6~-vD59CpA7w7Yjsq^zFuXTxBm?(eZZ0~a)^y@pbJsWR
zL-~aRe7|m|y43q3#MhV5m3{w_y8=EmifZv`UFW#cLSvWYe7gZdIWU5k+Bmkzd31iD
zecb8)u5lQ~r)qt_@Ju&G(zMFRDBL?zYHHYMi9|D+BFX>MQ3z-FksO#sMz3$w&%HW)
z;=>ayC_+ekBazI~+iPi&-}(pe981&S!1!XXrr*ye*}Ow^K|z7MPamxM;U-Y_2%<K7
zeaVB|EhvgrOkTvDw6L&HXt+eAU)QwF@>THd+ckST=sbS<R2+a_7RWhzi8W5M7zxl@
z3PnC$#{Ld{tk$j5UjJ$U3O4YA+|!_^Y9k;`AAW#mXKr4eQjZ>)%Uo%#4=5vYjkLck
z?2eUQxpYZy9xG>sJ$GVwn#(tu&W(J;2>jvr_Oz!@m1vGNY^DhJr?I(qvEeO)U>8U&
zXr2XA^1DCz^>KeHm){&Warrtc8aqtc05uavW$)1}cpsZ_wv5fEhYmp`N5EM@#YF1=
zT3jrk#7UVHd=uk$nC>fG_$zOp&r@t#Kp9U$z{JUKyprc|yQxk+1i)Csk)0Lp_hixj
z08^JR#c(K%+^xG6`JX?tBXHr(&$UGOF6zt7R<3-Rp59eaaRjuP`}39<7#tcnZse`!
zj~|cOn%7d1C}x=v{_w?%IV8T&#~)@nB=`k)?xU=nqzL7HiiE+u+FkSHE?zg8TdALo
z00|#Bu6kfAk;{YJE{(ow>rb3L`=hAn$)_^<ds4}zbLU=`-DG&p#pH9-h7Il7x37nI
z&KC`|G}+YD)b9A=y9_7z)-!e9QcxM~30|rqgyLSF#fvG|u3o?1sn11>>^uju5by5z
zK_apE_obN;e`bcX4EZzkW&fsHZzwHlO!<rP99tOXbX4NIx3>GyCr+9q^4%8i+@PcC
zH^E`#@^wyh9lhN54SY~?EG0SlF3V#Jns@Bd2u5$xjX}Q}ejOI7{_@_Q80`!xvkt%8
z`qqjYU{7iNTZ#%>%L3?;nM@~E9m`}==09SM-t^N@PRX<ajCGti7g77H)vOG`{*y2;
zVL}}T5$GZ>=$5vorreAE)j#@TT2bAt0v4*L&Tnb(+MH>Ph`NIORKAnou$%xoQW#7T
z=XI<pFY&`v#Ckqr%UF<){eK}ydHFT9ksTn%LH(wE+<Z5V`qa;F1^z+wcLXVpbp88{
zA!t(}eiFPHMBcc1)je5&J=&e#NdXI&i$w=vKu`cX<P8uW`w1rCWq5c9_WwMmp^FQ%
zF|vX3M3N9(k>0%%+-~4+^I)>g5gswKIIFE4Zd+Zrc#*TrqZWt^^$}1_TpaGlU$EZ@
z2@Ym-2ZzRcB?M}XmQ4UB4h<&Wx7d(?S>D|Wmf@s-b6m1SSpNE8spByp9~f)VE7xg?
z=~3~mrHZm*{=o_du8k@M+inB=z`_$uPAV$Q=cbM#nt~$zs;Y86AGG5(C>WNotkJB4
z(9q6Db;uBgo5GfZqwW3?eVmpngJt4YQ|oYCn9n$UI;0IR8x#)U1<f~ekf-39tn%>s
z&DR5a;hiuWre|lX5S<;32qFha<Um4lo11H6M!`%888MT#ZMRp@KEQ<mx8&E_eC>QQ
z0R}tsJeX&6vS16KGQ>$*FU4-J1dzY!Wa$v<&sbc9T|^wi0J&@s^+0yx_5EE>8YsZ4
z2gzx|;=$+Ly%Gp~T3WGp8QCQDSEE1teq@UVVOD*A8&ThB|9jMb;-4<RtNh%;_7$Y>
z6rYa06!>sM>hefwVbaDsYU3?$HB(g2tQ())J8R57=~=C=Vb_Ng{1bm__9(^0PmDr8
zXsh&)7V3K3R;zX1x<T?QL~gyBZ`SZr(k`2&Yce8s|0|KaHLqK^{;85zqH=?D!_xuv
zPAXe{M(#^aajH2u@Tb{jC9lbUjOv@&f?!;3rB)DXWKcIVr>ps6rTaHpNj{fO>)7D;
zwPCCJFjKQS4Slg&#fq|pim4jDYVL(uE~9g&^q=Y!e|zrGeaRUfb!Bs$JWm<r=c#<S
zwR*y=owq-2@R&GqO;Xp6^QWwCpIm?El=J+NeuKp0&ITlf9}Zcn<Q4Oe^Tv$uakk<G
zM+@Qye#yM)7{4OvyOH*xfjS>bJ=HhN-J~^8ToC2yDsTMdXIh2(1ly29){i!&_6<0-
zu{tEhe*8l59mhk?*CHB*4G_Co-mz?B*Y~lvbi!UMo6kcfSNwO>N3NRMQBgDPO_<-$
z@^;S~u4^Qo=y*eKg%N^8i}0Qr6L(9m<oehC9;zDZ+{6EPN3VkuoO|@^X6}%?%rDKr
zU0QXr;n;>}Lltj4`x7%&d&>`b$72J-XPHY2HDgs0rhh$My*bU-GvD1JvxB=@veTZW
zeadoX?b){f&%yVa#{EzGUn4fAUpwn>$?#=CZoFjiHHl>Cwi>nC*309^mh_7c@9k_E
z7~%g#Q8DD#Fx~yR^6rIuZR^IbOxd;OgWiDPKTB?U#I}E0<74E#ba}03;@pi=>4n<5
zw?~%#PMS{|3^-5_Z}HqfA~{j_K|$VDEZ$Jy{XW7pDD=VRDmR7H>${(*El=n%S+cBM
zky_^Cg?+_iUzBUFvYx0owmMDTe`aaf>WwzXq*wMgEC@}B_SgQY+bz4{=Z!5vmJMeg
zC_O43DCrcc;c5Q*)hyQ__nm{Iq`O)lO*a)+%2kHGIci>>T%$2^M_QPtky35opQ^kO
z11ewaoZk>#sjl>UP11`YPVc+u7LQk{J|-vm+~DtBVrf-7bz7lAFYhbCmVL#Vi(L=@
zDvUQ%i~pJ>Cox-}>Tf>HY0tM&$4pAsM8scGQas`P_NM*u*d58mHFqzBMK4)2ykVjF
zVdvdj%qzPDRAx`B8`V%A5^=j*!}cS8R&|b9-w^wKftyAvu#R@J8jar1pRx1hiB#)H
z+ediHP%8e`#Dz2+IJNMC<8Rr<)V|km-7<v1?|K@^{nDKtW46*`(hWdEnnhf#e$r7%
ziROP-(W{FvE%;#~94ndGP@f2$=<(x1*SwZ4XIE1GGCNl9{XX1$787Sh^%b{5=|pv8
zDA2iMh~9T$M3Z}zSVJGfMIaIe;;~iP#};i8y&MZ2K;4^&$(|U6RKcXLL!a!}$<6vS
zHN_GdKgRuHS7;!D<4Pp(3O2P~7pUhPr`<O*HxDakXEe)%n6aXlplU#~n8F*T%E420
zb8N*s)#6^FJFjV2Xa(G_^xyvLp6VW10vio{<~w}V9{uzCTRUs+pu;G;5b}ayJ=l-H
z&ss5t(v@6_c|U2A>PTgf-TK5<qQZW3RMRDVs2@Liy`R<Aq?KCZieb?ih=@Z*I<5ox
zBQm=~Yv;aQ$^6vZ#fRz9;6a1-OWCN-6nH?dIXSM4Z(`DBrnEiTmxp$Tk{{YQTt4Ri
zp;<;{lyeUD_L%3ZQg^Y(yt*3Gir9JaG@WW*Fi@VnY<4b5P+Lx&+9J2!VTP=IKbJ<P
zV#x5jI4DG*vd|zcU5cK{fxJUj24D3Fj$$c&A+tjig{TXm^s-J%u+e3S9DtEc%vY>)
zykD}Gu-IJW5*Sun0QHw~@Q@<I|ICpu(^F-prsC$dV&TG3e1D@xMKC48wE*uV+Boo2
zzH5ceC`wA0BAT0b?$yhfY-4D6i}@h!3Cm*{WC6?D27cxC((fsGG3>^RU{>64QK1R_
zDVO9k7S}3n=5GebHKuHr?4o0Hb*|pHv1HynxF1-d`%?yEzfLw9W*YbGrVIAD%Fm9;
zLxVt0z*;K@XnM>iIStf*b-;A=C3HM>fBuYrRY8SFttKsGlD4ZTt(7S2ph0}cAO0oH
zn$QJTZcoO6g)|Wt^bRTM1YWy#XIHJA7>k^-Hibv*GqDkpeyGv`h{okwA(h(gDV~-;
z#`WvB`%pPN&j_2MS2v8?i1ZB+N=hUx6=4t-V}|BqGiFyW*&&a8N%Km@tr!cFCT}{Z
zMaH;SdCQ;TPaz=1+LSl{A&aDLMh*my$%u?bkkR7p6;_ww9Xjq|^2=~2;n$87*?@SG
z#_?09o+$A^chto{-SGCg(=JT*85G+e6HNI1j8-ry!i~tu3FX;)>J!!{j8hyd`ZbtU
ziYnq^KDGDT^wA&JMON3J)5ey@Os;e16J1n8=ifPZdeX*<R{41bCn2n?e|?FjN#Do_
zSN8Xh9$o6Vs>LKvx=STtM*zqtz0}e6ZJKWAp_UPaLd;mQGC%LwcdB^HH=D!cFbGhF
zvZ!lcI%)FcT%JH2WC~ZLi(X#niPkbM?(CL^ou0d84~&Kx6gwr5h0eN9u~xzHEq6n6
zfDZK+VbthzKR;^@#Tkzqrp<_ih$%o7B{M&ZURsCN7J%)B{@Kyt?@NtFdfMJ?ssuht
zN8Rqq%J?)&B#fXsjm07lTgidhpM~Lvj4<MwOhhdH_>m3nVpY{0z~J;+an~W4K7r~T
z%XmVO$93i8r@foYj;aZ!k`|mkfxGbnG@)%D&dsXK2;ik1Y#52g=dV+S>JPATnsTw2
z_$BbS9N-#rn1Q3l^qgaFf6Lc5Gw4<q(Ge-~xA2yn&9R>cG~#@s7$xSro*o{U{X2aP
zj@H_o{S9G8U?4|dSYyV2>^OhR7C|pOZ5ab<`Vy8j7Xk0XFs0n~ba$^ISW-X|FM*d^
zX#z0A(cOW^nXnX~8~O=o%?}g1jx>{&p6nwEoWiOF4v+Nl`}e|A&bM0K^tGNrkOo(=
z;>CDj`G%TNxTIRaEzyY2#fG{E%OS0V5Y1>n#hx)k|5FC<!H(%PWpB6*cCcI?t0dE=
zaf<9JR*TN<KrNA9P%vv;I|bL}g^hHuU>HO!K+QqshLb1{<28;SN>Ta-TyF%D(K1zn
zHUF7F(ye=Uo<;mTLA2<K+XNXl6X`dhwSn0HJ`NL1Jlt419VbM}xZl^Zj_so?-oHOQ
z^3b8@l(_G2gaib<T6P(Z?NHfFlT<pXoot%LAO9PV#ZP(HwyQ&rmT&7nZ|nN8F5Q9x
zOqVEcJ~(nffN%8KnCl&<+*MP@$9b7!k$lw1k&F5Vd{F7Ec6aMTd+~eQZ*#rROtkGQ
zP+e|rIcA;n%&OKeIMyrhw{dFa;_}lk$`_t^D0#5s=<{toJ#y=QhN}nwdEIqCHU}S6
z)2+RJKx%JWccG_2FLB<9&Seo8hCT?olD977%hVKMtPewG_3yexZzXSbo@(g$xvPbO
z;?|m3n;*w?dsAs{_h;(LZ(Y}T>+3&TA2ua3#B54?=MHAO{+%YibH?aV_`?&n_%82@
zANWcktGU>5SxU**;+%_;$f|Yq-pRVH=a|X)SNOOWHoS{_7@n-vFh}xL$LW~4%1L*t
zPXn$;`2@T!an_qL|FCp}zh?OLhNEGakS|UO&v^J&(#g8AU-FG#H~R$`P5lwE$tbp)
zV#U(oB{M}YPv3M7kNvjz`$FYRx$pI-TevLBJY9D*X-ThNH5S)R`UU^*TZ*QsuRnb5
zIc}hlb6%CjDG_P#Mf}#CY-}1yY8l~{DA%^Fedn-dqL_B+GLc%~D_WvHx=w0EgGJ*~
z$`0>4JFSoUDXa5eWk>r6LMt7@iRB{L+05utLHXSuql>zmSFA(R+d*Fb_1m|>Snk}o
z;cdeXzO29GnKiVEEDqIk<=up*)^bQ`E8iJ!wLQimW84;ss0BS4WRnMAC%@ZHXe3Cz
z%=DYMLrb8I=^gHQ8;h|SZsk7_fncM?9zEg)F<IpDW3Mb2hOmVq9}|ZUAFiK2uLw5~
z0DD0{O!tVUOd^=MA>yL$dh}>5V<nj13cAag3W0?J2BQ`r7lK}b98&T?op22*vyZ{P
zA6pz)oXpvW`7jM$zh+HG1qHUb4R%@v=K#CAoz+{!s47g^eoXe|A*4793i?WW|NhoJ
zVHIz748K?qz4vmMOo$GFciOdkcc>&h@F;Z~NP)f9w-vp7{jm|YamoG!)&PhKM$of;
z0TXJB3KXt}5;y60PbSsoyfPxha}g9^3@{Y#a>MV`siM!H@s<(~z8Vxnb4}Zd<>W>S
zizCNAHLUvy>dbeNV96pq1b<xQ3>HwneLu5W<^gr>%9WKFFjEQB0<Q)0<%e!{Y(@}t
ztqeG}e$r!mg`MdUX3`H66Crc#HU|R1F?Bn^57k0cW*5=9%T27<|6em(<n^)=(4jkU
z28iD`mPK95TKWluYtt{Q)vLD&q5SAkAPy!%$aCOGb(z{6&XMdvdpV1WT?PLuDHMtH
zQKe!QZc#CU?6K|%dY@sgj7l*EJ&)H@LEr@0*ewx0pp=UH9MfmP)5~;cnd{2mXQX~-
zgv-?z?^SB2XE@BU2$T(%Bq^{H<)VPl(3j|>(Ag8+uRr*ok?hS?t!i*B$$I$`iPzSe
zpXT?|I<oKj1=X$Iq3&<<V*iLl6T8WVbdGy@JhY~;a2S8UBL`>8H$30S3Tw=M2i|wN
zt;zobZW<5(^d#?@-Rjl~tLXt~3Ab8X_YXkt6>XTyzR!+wU&ug6bNU4UwMZA4z+!_a
zg3lNvlK0=o@!V)>c}sO_zm4+pmB$%8Lz&$5s+A0Iy1I110$~fn(xsQLToJgu7cahD
zjd9jS!S?T0S(!s!_0}FL2R%L4Z4cey;9xu9AddhX<@XsGSVKPMNp8gG$Ec|tl=j91
z%*52dz!LSF*mcD)pNSukK>n|snEv+#w}gqs8rwFCUgt$CaW{JYrKMnQ(`RStWWFy&
z*Zuoh<#{LSG*-y0GKX|s+DMQYGn{7~5g)|tv17(qY}_cHHhb>eb?);o=-Cd~4-1R_
zNb6Hp!2c8QT8fg;%$?Zd(MNN{h$74uw2ri~FkpPcDzt_(@C*bhH-=-27xx-%ab)k_
z#Bg(AJ<Pyf#yPHySed8@Ir1HDiDD`Ux3c=OH+K2Zcy>Y^+hpr_^Th`k4jBPf0>0fU
z`~Mrh-9a!KSM<VlXk%<>kBVlKR$!vTEJ%A(`W6P6<W-s${;yza#>fgn8RP#GHZHrA
zWo7*WOdJm!I>MeE$VZvM5W=cp-h>a#A$~+#q>7<8v#SUZCl-;=^TUN)q1JEk`l+k|
zqK%LaM!Saim)QlK%bsapsAa})U!Q=!Pa>fu=sAMZD(Td#*Yj{#6{`%=t78au4@=q?
z*5D)~VQ&*B5ho+KS2v6zz7R!;a>C+O75|-L4GmKh6U-=2pE;vmG`x0j6Ki8JtD*2$
z#Pk{mHaI1F_Do62WU7Z=s8rB_zIc%>kg6&6rRpn^4u|i1{GwF-f1%~XN}yc{2Gh%S
z*6EBN-=iv}MWhA8%5PtT`Eqq2330RdCwwmI(*`!6%wpKRSU?#XNeDAeIeqxc1!yFO
zFSvT?(w8&avxhK1_42~DQo+a~_7j~yin;XTwPa%>p<&1vS5Dq3(I24JPbclne`WG~
zUZR@rWKU6VW`rW)of*N1-GI_LXD1ACnqrqM5=qyXW@0%Z%m~G9uv;1Z&M1s%{&!x#
zU_DybP1|-b+eY<LsDF&9;iXH1%6<xV<Gs`kpWbk8s29Kq8yak=w~J%kOC4I~^rDn?
ze^XO<!83hBrSa&M_e5Wpgy!zUTp^imG#sMoAgT(<FG!CEKK$_Y_fI*?&fKlvOnQ^F
z%QOe^E;6cC^W7^+|7og3^gw97*;O@hfE;(Ef3U|ZlbH$Te%xFhenHpFWD?K;yaS}a
ziTtC?+lqpj>6v70Yb)%HA#zg{^NVQHwrnZIP@-k|cOdgi?(TA|<P2Ml-jfoVzJO%Q
z+vMrC+NxOnBMfHOFrVePDB;gRTD%Bc9}`n2YuJ#4fBpD-r)bx|nNNh3MT|K=zeMhv
zp-~UFMt%2VQRZWzjMwjfzr_`Daa2Ua#%R1d6@85nO@kqMth}h*?EfV-h)kq9CXx{-
z$~b4|2IV_<e9WQMpa%U}TFP8b$w|j_#*88#Qzte|&6w_8*rITw_b}t%{tb01%yVDA
zwx&e}!bkMaEM`1Ysd@7h1R!e*6#YgJO-5Wb4ddD2X(j5!mp$si91TpIdWM}#i2uzu
zY`6vwNB<At4b%Itka2~W1Zu+Ih8CC_3%rKS!uz7v`67~{B7{~61LyV%Mig-<5@8d7
zMck=q_b>(+fH@v-Umz_p&Ct?13qgw?VP%ne#yydvnx<wH$#VJf<vif(rg6N~3epth
zLwHcsV;P7NK&VuTy4DVpA%pt<@WJLp;s{A>=PI%9NG%1^fmyfR#=~7l<iVxR%NO<;
zLq*bG#q6$!Z?-X;7(OXN#)vjvg&Jnh+X`2*zD<m>i_Sxqp3@mKf*QO1hu;=@*2Q#~
z;84pyE8XeymlE^Q8FkQjiYUetf&o9p8~n35vu6tf5;%Ai-hxm(eFqQQ-=A^W%-Qqb
z`P2R2!P)rXEZ-daupQo45TT)ej^Q1W0O?8v@7|+_A~qKnwWvPTeu<i*b>;ajHA!bT
zE2KV22c!?KpQ*N0CCUZz{@Z<?hr8ZLQd*dFGW3CS)gZ<B&IV3F^?y!C2dl>(H+O5F
z+E0AL?_lXzb@ks7*Uv3W3hStp8e2OpA^*$T?rL7A77tsYWBy7cK5+MVzZKPw22ai1
zWNEp#bnLWYW2<IN^YDs%w<hz;i{7(SOxuXV!{3Ml4n7Mn@EUzI-E-2u<Q4UI#*B41
zAvu0zuw%~YFt5{F(%1fJ2>bf1rK*E?X16uZ!t<Ulw-F%x_6_$v7nbVXari2y_}sb5
z)_Y=gvVWds(#==OJ5mM@Dcjt0^-}e1PlBVq_pP*2bO^FplwEGxWm;!(z=Zm!@>^AB
zmk#bPHtF4PImIFCI2eD;i`b{_BoD^>B&5WRI3g`v|GfOzV<p9snz2s;_Dk&_rsS-5
z$d^30+py1ht*yCugVVG4i1}ZNbmOn?iWsF_HRYF0t?k9z!KnsL*KWH@-vqY~_j4>a
zl^oBUaLT;nNKN;_7mhTvp10sg|A2-YXA{B&kU#8I=6-4GD`hD)<&RcL-aP9VGw4sI
zR8kuB+-dxy%u{xyO6jWe<{3T@|7Ph>FxN>xDy6%-#is*hYPEes_DI{!tm(%IIr7r&
z?9FS<6&1_2A6jtKyrfxqd%ag$cDsXjnMGB9?OQ$EEIzq;@UEF2F`YC<#Jr1{=lN|-
zjjPVFY2%biW|g)XovYVgaqI0m-E|S!;e7*Qb#qo_9Nzi9ZN1C8H(EztZcI+-Qa2Fd
ziMbqW1Rd+w?K$gQ8doskpn0FQ-d^b)ZfM^3pS@D9p<zY8^Zq4+G+Kxq8<Ov;sa8K;
zyl|m{RsFlREyV36Cd3<7PVH2u2&&uv{L)7sW*^(96KNEc<>4Rx?fI*+J;S9IDR<UO
z0$)5g&(P}~pVOdsqOJeFScg4bJXd9O(2k7i<@jK~m&B%Cqj$2_=(6`${t=ZPz$+AP
zr(!D4Af&?Gf(9C@C&PA_nTfQH>E7F3o{{MQh@uLLWQhDPUzEHU4107obl~{|UX9jk
zE!o%D8}e_46L-|^e~Q}K=g7I9uS=9<uvg;`cf(BE%K>SYM`t`~Cks3da!pqEZVG<|
zS(DbUFCru{W7XdBaT3@x83XTQqK>I)4sbNpOXb{DbKH3a&aRMxmz2`o0Zzm1|7Q0=
zi>5P<aX3Rpc!&IJ#*Vl|IJ(E$j2rHvqd#@(8pzucK?;?F$=_!SR>-JEMo0S``&#t%
zYQ;?ZR3TXe8d_VIFE!m2#psiUHuoo#W-bb0M$+AS^niPtos?AY)^!AkHq7XDK8W?$
znad@ZdQ*9n#8#Pj{Ht60ErP;J9w&+0@pV6wLBbI#K{k0=VKS~)*Gc}kaNyJ8M`=PQ
z8nP_vDLyjOr(ZsI?jwDq;7tf5dKVtj47ZHwGIC$vU=n$@L%|t5Iu1!ezjEND0)`TS
zq307efiwFueI_RpY^mjTTx?N|21Se&JY>{kblnJ3xd?Nt?^$7FRFs>0{=$X+aRCA@
zonE*LW-H`wm<y;F+BPo7LGW{dPoV$oOyNcA-OYZPlUz{V3$$)nK75?MKNl~9JOY@%
zam||kS4)47X)5mCGDpcM+{NY_M$M$Jgy|&pAE+@{<e{Ljg&tyQ_a}Ud|JSpRLGAj0
z2$&zUXSfTJKx$GE^X1SPFn^&K7V6Bb?Kz}^?=v;dSTq+gQ=(!@$D$vum7}Aht!)%d
z-NlRf(8m}}6V(UwTG=!QaajbfF-KTg%8Q*Hzx{A>{!PQ@=s5uD7z#OEypPA<O+$*-
z;=;nN;Lyj9Ga?@lQ~Z{Gg4TVe1bor_!ge+R5247!%?2V0!v$m1O-mh%BppS41F+4K
z)6H%^v1OM=hnyobDT_2`@o;qrK9t=Gy27-XkkSxm@H^cLAxu-=!y3Z2Cp<E8MbrlN
z9d-*^Vrtq)Nogcosdywv#6Xgq?YMb<d$Iz{%gbGp5uHwxpehx3UF%2U*8r$1{te)9
zH$6Go5(b>n-!VIP3i^Xe03872?61aS7tfx35ZySNkdl!hplHAiJc0^LSabV<j4wYl
z>ES~pQA5PyfKMCaPk4KW@8iaAfw4DIF}CK5Z=L~#F<>?xK1NF}tH#EB7$g!M{o6a0
zQ<j82&wX$?#8e+xs7;@p!?BMLDq}M<m{Lh8DV|a!7!iyeC{=iZI3|}cSY5kTAk6R_
z(=Sr3fEo1~>kNuSZRh@&;sc`MJQL*LCMI(vELu_5GRw!Sr$~Q#aK+DUz7%{tWyw8o
zE{fz?_(Mdh7GP>BIAl^z@l6`y*n}^%u$QX7+`j>@J}l#~@(Y~`dbfZ7eiSkqs;c81
zeg@)da<?Fd%~pasY!_OFgnYro=ltc%X{)DBc3=%OHhKk)4z~>iB3={8qyMcxz7ti4
zIsM`di(NU0>cievQg^r0D>>-qmc(yG1_K^O)P*zh;=_jti~{@hJD=5T=aeaX1T_r{
zr`9qHO>l#fXf$R1{IG{N_Z;CYkIPD)wW+!2WyilT)*!Js&vpc2_AVjxEy7;u1s3M!
z50#jzb=sV87@vixUUYc>ZH6<=I|EgR+Wp)u<LnI16y=+1BH`%w7kv~+#d4Jc94-^F
zr5(;wk{iLem=_~Aei>WIAFap8f{_s?5B3qKzJL9>yL9EVBJFxlzI|@3ilf62ZiQp}
zrYPXaUesA17?adp@%QgjGPW{s`^L|o-#eZQKXhTw5Sy(qQyJXh_3ecVosA7h_#yjV
zaMmX0znhbwL@#*e$HlM03wCOH!4$>`PxR90NRJ-Q@5AJgH-kGlrt*Tw0(C~Dp~2j_
zo)csJF;rje$`h&Rh3>*bHQhGUXP6eBbbV+eZQ11)gUYbzXkChNMy<jacbHYHhH%)K
z;GUqL+irhA7{XLK_Rv%Q5Vs{aL6}Z-(A3tB_zClFdzjB0?Pi6o)0V}>e?IZ`Rd(mT
zO;q?JGZE3Ob?2-xY1Y^3Dt7$+>+0UUQyT?k--sXJl$mzBmh{umC;@m9yU`w{NBn^~
z{dKj*nT>qEqnaZAiA%Fjg(HIz3(m2;0@VavmhIHxJj#$^NTPXL#=r?8)qU5(dkNRb
zaf-pqqGndhOMwSiAK)!z;vjkP+TCPaDsG5Lf0=|sVGVIS1?DU76J=6$eQgOQyw9oa
z7ca($MynB6s-%%wb)wbA<aiq%Mt~3~u-%0vI{%<^d)VWX+dtjJF&hOm4V)qr_7Gq$
zDT)0+e0Rd=1SQg4>w@-*(Cnu1x~j1@!-k7oddtfmmGu`fr2!J=N5FE~6GO^GYPBox
z?Q8=B_QBCxn#}KtsssSltf;i{>JmhxWoXmR=el7SgRzZZ+E^vsjE+`5F7w!Ded@5v
zS4H<YHiMdu%}E4%^hrACE?98ImR-R~hbNhsN)16w17h)o`HcacnVDnZ-ect0?=poS
zlOFCfS}n|`2-kz=o>eP)$xHWadTBvj#L#KUb;H!MK}agN)O!=aH?8rlV#s{pINfpN
z{CH#9+Jx67!9@}c<A44E$1OUa^AL8waJdYZy%v8AoHRGyH7+3h#>1b1J6t8lYXhg;
z3XQt1UvuV7^W07Ajnrou8g0Pd#BoS`Oyqt+3E`?Lf7mX8{z2V)-P#k;hP}5BnHp32
zC0NDMrr)-U!Rv#QZvL^2*S}@yp|XCw%j1Pr?|+C@s`@<7H!GGF9_w)3=w>K8<3DWK
z<!zw<tZ34k&)saMj;YOgyU=iTe%e-vO{tIW@=fMems0hV>#ClWZ=ch~w6e?XXYfJA
z8gn+5cpv__cv0EHf%%d*TP7aLzxBS(b*Dp>zk=eB<njn-ok8NmyZ4u-7XMSfJho4K
zS$WEV{d(en*7b)aF{d5H;u~toTDrmg#HR`}u05D7Uhs0!>WugC^6t`1&zz72mqU(7
zr4;f?sc$!WW?mUJX=&7<3*YlDX04Vxyk~;q)vpsi^|_)pNNj6RpSk9aRXfGE|MYwj
z{?xWe@;UTua`?KXCqgA_UfYO|=DrQRzV>?`i9|CcXTttj@1>H@6D#9`>>Oji&syof
zQZ?4nurhwfv3;JEX^X@Gv$mHT+2szf6>s=l6n_05O+~MFi|WVs3qCkYvM3?Gc--Pq
z;suT~oTt98AGo0`?R->+#CJLur|CR1)h}>LTK;Wo{oT4gryje_Ezt4KER;%DztAyr
zKR?w*dd1nfzU0G0-QFEjKV<ARs$BGIuiagRn!7_@+NFziJ;qnHGs<(-$*F6wb{&}A
z)m(pyZdJtgL#{zlm0Ne!PZ`I!<(ln)O<qfnF1D^-FmKDW>O!|3!y@gEhOMbr?7E{o
za*5G{HeVMM)}(lxjh}aR&Ft~7FzWf;_AgoIo-Q>bi<k~}*PKaVZDf=Ic{3%Ygo5Yj
z;h>POMSr#6FV6_nX>_R3k-wa)7BJrC`cwVMlSl(UPw8N=r%Yb!@_(wrC8rx0yHI|;
zeD}_q8PS$8R4M9}uWsNu09z7mGJNt=tdeWII`kY<N^oEzygqCOIX5$vCF}0dGxhbW
z$^1C)U2l{=@!*pS0N!9lj8`5jiu}UtnlP!Vu1)~_^Tl^F!))AUxiez{kQw~LDmS@f
zGvn2WN@H2oQ@C7EDB$=Odwk&;_8Q|;6gV6=F=U275Ck+VKtstr$~(G&Gtzsw&I0*F
zhruN*4<w3KW$y^_Fc!Jo!vTgIOvU32)<UWYokBSZ@a5TU)EA;UA>fun`K5#Z4B9)e
zNlY&Y+Fw^@7ftA0a=}xFU7I?J4vvoP`oLf9s0hLWUuG8-%(iXDzdM}Yz571(aMGb3
z>rjUT1>rIK8#Ao$*|D`0Z20~zi?QD-kw`rL#oXaPdPnJT-jAZN0TWR!H~}3PGouR^
zE+B&_pn-wC#D>!7Y{wwgrOiaM37rCQivB>3Vgz?|%q6JHpcp9i>7#2~yh!e0`sJqN
zvx^vPV34`&g42H$(#SpK8yp3P#exEbZ}!LPuAB)vL9t-%0g&>9Y8$s<_Oa%2I~nnN
zMEBC#bn<cOIZeW$pkC>w{>)!Dhv@tKc`(yH*r@3F&cw79Dg4A{QA<-(alVJ?0Xe6C
z0dEdBi;;Z1DcF*@WDA`Q{9DOrCP>Kn<e@j@maK!DlU;Ebapy8Mh8@2@ADe5)dhOdD
zu|feqX3-Wxyp7F(0060gfEOkA+KHOy=hww*!HRm|35zR2;<0h@B<&{J$x^hNAYm3(
zR_|WElpZ|D4(rwV^usOO5<%?N8Nr#je`hO7S;3V#DR&E8`#F*(^bC#8ym`Y%jG%y?
zF>BV2^TTNv3@P5qE*krGrH%E*4bIs%R`jb^BlI5AGS=l>DF-@Bxno<I;^17BedV`P
zXn+|kx+T_t-$RmV>4u8F!9R9<hbtp$8$|WDqpfUT$N9`Wx@p9ICG*G9>(ge>c=XC_
z`0K7;YLAULeehdy_3xt^{~E2mGWqJ{YhJs$4w-G1ykLfYZ9wdg5>M;9IYB#?FUtGr
z^yiabxu5mflyV#80-Y4=IrPes?GbDRvbnl&^V!>^$$xu}87?DQg@^y7SfI-1w9jQX
zKzV-#pZ&$C^2?I?XfIOXX#!h=J_SY)VtY~?kV~JiHW`NeR+1_<G!h%OW<3cGVEUOr
zOJ#THA8A_|X{E~D)3d`}^DLTyER$hB*&a91zVsvT^4biF0o^NWsA;cN*40>RXoP?>
z>P?%*vJ))bR>KmfwB{FLF-<Q%|5G!D5Ip=(z*vFwB#|rcH|H_Gs>#fca|~La12-DA
zD)EjrPI*!7Zvv|ed)@F!SQewyTO`F`s5i!niUQdqd)H51n`c_VoUvl&_%X5*@-a4y
zpn-X`7(8}$%Dw1G(3&VU2|P%0FEA4c3L4K$i~Gccn2u=}+>{Nf0H1c+aWu~`pja@w
zfBz#q_z{Apy*!LGNK!;3<|kO&E4X(z-+k`XdE9hd4IWp~;Ksh_*L>2NB_Sp(i!sGY
zkJFC`oRG}>n>KyA^Uo(L+MBaGO+2yJ{Bw3YKO5m$shYfcb)I(4&Z!b?XvTr3Y^>kR
z-o$w&hkx;CK0h_eO$rxJV!c9>{d|s?Pu{&7v1993OFk5Og*h{4vc{NS7Y}TX_8030
zDOy|$OuwGXjnvUO`{(q^HETxEB(Ck<T{L<<Yvm}y7A{(Zmugj6SrI)Q!Hg9Vn5bhC
zeub7@5ktDp6V*F>m(l7(r+j>UX|O)iI}99nv9xr{)z{OtJGv!O*n6q1YuFe9^9_Ig
z&+l-z0A?XQ@KHCvk9_jxjSU?G#Pd~i6Ff#~Y94ZTM^sWw6b82dsiEBunC79>u_Iu(
z)B+nigBSWfr%#Vtm9UTBg_{P=OmEM$gbS@i>mgm9_VcTIyVMj<+@Cc&VL~y4#Os4F
zDHMZJrc#4z%6mq(kkw~q%lUb98wjD?2M-?}${;4VNU%#KEga1!f2?$mj2!(WnAR1C
z58h)p%?)n=)X<X9w&KKyJ`nUP)$fm8(JOO?<B~<_i5U>-Z6FDPhp{^rQxEL-^>zm6
zh%8je4M0J(cP5~1w9o)ofAW1y7i2Zx7SO8ixid|XIumjs4a{8e&&tYrtR0qR_*&FN
z?|<q$${N9SCW}lxlOS!?GyTeZW=vE)D<G0Rt|83SByZ9r;hTX82ewAq5!ND$SOPV_
zS}B#UFxyV8Pt(B8Oi)>H4h<yGXaS0XOG<G}Tab)dnc<Y;3Wpig{NDop&?Wia-UxK#
zZBeMb2TxWs0nFQEt_%q6Z=IUhV$xT+mV59NQ}jZaftEb8eL)KuLDl8DkU7X9t(xx!
zu43TCNc3y%&Yz#%-;|Z3I5eCRd35J7MDOlbYC1e!Yi1U@&tibaFb$2A)Kqp9;u3^8
zss%Hd=ij=BOlDC)Fn5Ygpv)JFgInxlXX@}8T0*p9_ak+gGMDFN0g;h}*{E~p(30WN
zVS`@P;7;eZEx9)wr0YvrIy+f1p?AoslsKRgL7XE!-Ehzm=jU1a*<DQy4KZzji8eq*
zMR5B^b-%V!P81S!<qFF^c;UC%*({ztn3&77W+RKlHtBc}P}gL+Ma#mV=+tO5zLgC{
z+)&S+W5fU5!JI#X`<-#e>KPvzqov7>L_rN|CQj9HvkuJRzP%HPPfu_Nuf9Y~`WJP3
z_zXbJyW^JvBxZk#Vq!}q;;#t6SRK$L29KK{vY3fOAL=M!Vq?O#tT@m~Ru@0hZRpZ;
zoOWQSaFb6V#x*kyYzi-s5B9qt4LH=S{gX6z`SMyIOT6Tb;+<mAu@Htp6nW?fV#sdL
zY4kU707|5*f?*?!F&mvG(N#);+@d#|3iE#|5Cgw4^JClzu3$V75!RrHuoobhBF3S;
zMv$7}B3KRQd1m0v!F1VFSgS)vNFO(-VkHm7u=?cYqR5lit`(ylW&1aKpzA3SAo{X0
zbyed2UF^yM9^O3uPKPG$YdGcHM76D7->E|}81$8Fjz8$=%j;mFFwCP1#m{zGj9*HD
zo2x6uYFZFa_#f)Dnctr#Caxi?9L*=mE$|g~iPG6t{Kyv8CRl&@XI7iWYgU%9sR5&s
zw0k3(-P;K2>WeKI0DHDw-@dJ6gZk2Ts1zw2p`+A+(s3hr1cb5P9h<B8=*6Cf<mGwj
z5QeyKD6bgBnJickaOu)J$e#d;2L3u(j~?lTmxqRig1`z6|5S(6*03!xHX>@#@BgZ-
z)EYkA!e?qr(UBQ4qT1uLK-k`zqlXV)x&4~<3n(ui@9#BO@|8P{kW^SXTPK1m&gE-r
ziW%eBX6#XE8+uUiV-pg}KeF`4A1Af`KN*QFvMbho^zayJ7~pwAM=?wP#p;aeeJYzB
z(~LAsW_Ed>c`96DV$w}9>$Y!}eup0&cZ5B-FI}FOA74M(W#E*C7b*dT>9x;2i*-GE
z8Rli$uJg^gW-!72WYwkZUNvkU{#7w9RL!&YsPyU3#fD3kPxF%A>2@t@t@85;o7We$
z3eJ$%tR2|h>DL_9?Qc$A>n=X3ebjK_bR+a8kw^2#Tnh19aQJF_#jC%*J`3M-_Y{^~
z`&9P5e&`}?Id)pY`w0%>yu!B1wYfh(qxk6m?TG)v*(0yl<o)FWNInevoe<n1LMja^
zk3X?{*{8gVNe1t3`_;v0-u>9sR`F7&<18jib~Q4XDt_Nx^_i_!_t}!U;jaE&8?+^d
zrBj;gtj;Lik>I+(+9O$dWkp}V=F8lxj!O08jYdt0J~>TUU3{lBWubR))#TGYrh1Ye
zm4nols}3G09(Y?^)_cx}9}krNj8B6&scE#tcz0~VU4@v#f7~|TY?yP=X>nBj!W#w&
z7I7QX{12?Fs&ksUAu8Q=r}$1~jBc`C{RutwKe~xO%>5O-(tgT^yuDV@pu0Zby*Wie
zj~k6fb9{-9MY4?MA|;Q_>#IQAivK=|FLzv1rhCQ44qQc9q}bmUqVF@oV|0#(&zX&<
zD5Uy~*@CLR6{7@f$e(m&cWv_er~JSJ-|H)GA5F}Cvs_yT1$o(=_cfS@MFwyGBV*GX
zQ3vlMO<QJL@+@V>%yo(W>JfM?I%3Vb?92>}$nH%~h#p=nnd#}c&9NhDw22@HB$h4E
z2G7!h<s!xEJ+;ml<#y`3cT2)!NG{JyT8cgz%Sei%$bn3%C@Jt4r;8IDC6^v+QBBC3
zsZLn|?ynMnE6Z{tBTe1?R73xgl4>fNiOibIe*H^tnh7KonSnt7!3Cc`E2M%1Wd=@V
z<G}tI-?)1s9SI!^09^6=s34p%V6*YRqoOLX*x4aSC^x|2g!EzjN7!?J`SN8N21*nD
z4NiAF)Y%qCc+UgH+zrTY+IMgQKjos@NI&W0N7X9~o15>Rv<O6#OneqXRRwrC8Q#<E
z7<KtBT03yrfZr74H9{NRbL>c}ENw-z#^KIrp|hMrl(zMylVq<CS%~>rX-%EBLSNCO
z9f_SA?E*W@g82hUv}N=A5bAJAEF<Xxq~TRm%IC%JmD2I(rl0?F>7D8;E$1a@$=?Lj
z7X0ta?SStDBMZ}8%>|di(p7~0Al8HX_;?;ZOsBQdl{pv}ddUU8l<`!-HPlVy?CWNf
z)s!1tRJ_9c-@bIEZ_<+={s@EmP;z~}sXlb5(nXq5fl-N50JN@6xHTo_My@)79fsV}
zM!yUlHIlI8K|wk1(l=))CIF)y*Fmw+B<+e1NE^%B%)Z!^a7m%tE;Na|o#qFd0`&u&
zc6ckKPq-qG;_=N+ak|{LUAtw7Ju)B3iC&(Sf#=nsp_-XM(m1^c(r~{)c;R6L7QXXU
z;0y^QGg~UYoBtj)cDkGv<DC8G&1lvvv7?OlP2ofvz>|TBnl+VgUcc@izyNY0TM#U#
zwh~!r%Yyh$Lud)<fj^kuYy=Qs7y3j-h!E03TV)0or-xm5lU&hMg+^)}3<V4xFkqil
z06l3lqvH}Wm=PXODF_EeVD|6!&9XPs7U`lJ=OCbVt=_5QmdK;dNj1<q=-~l<2lrlV
z83H)L2m@d$X7>Boq0QMw%a<cF&}~bpeOor4JT=7@F@tnzml|>!lSa0JHgJ-LlitRT
ztpP>G<Z-*TbuF+fGKAs^UQ-<9Jl}zOf8*hcXTeB;c<1>JYrsgv-dlgp9IGImX4$i3
z@j~6AI>h<UM(X|m3<196Cc5Fg1{Nz=KMuRsp}Q=sJswcGVmsv?tfi^8AVx+3*`K~L
zQp0d0O8_cz;)QkwS90bVM~tfgjD30@!p&g8h6bXGTG=ws*V^j=WCS)Dox%GhyRZ-o
zlVsMv6P5OU&1uuNS}`ik{X@99e2-Wrq}4o~h(3_{Q)D#Xy%KvaiV~;9`%Z(KhAA_c
zovm`$8#W}uV5d$FjmL&o^70<ccD}ujQtjV=jbP}-O!@*dm$abD&rdpD{gjPvBXl2}
znvH!XwctZ=p8#iXZKXM|d~3-RYL-;*r>O4<AS-+OYT^^i8=StSkI;HM?GvAsM!+4l
z#BZ7unoXJtFd2?WSa`Tt*l^Z6{!EnI-v|#gFF^@NZ-MG(JhsMKL#6n)`=XLAjx*>2
znWchKNU+|`a$Mf3`F-kyfy<{!Bnm9b?lFAjy^Z^G&T;S-Em^X_H(PhE<lA{iarn)f
zR*6>4vULTkyc;(d=sn*YP915d`f~rjc&2oc;Lz`kX_w^qnKQd!Flu$EXdxpHxXccZ
zjxG@vR9oi6O=K39{f;sYAfIKm;?*9p?txT5Z{FzJoji6d(dvYcW7ZB9E>*lcz;NLO
z!)w_}hKkS2J+pK}f`T&l<maTE8LtvGVbGwpZ?7$u1YWoRHhFT1URzN`XrF2{&yb6Y
zExTj?Ub_=yQ}?}YXjKQ<CX*wJ8A9~Y+GGgL7EY)zsXW+ijhUIyt5J^<pH1U-o|3}$
ztpKfXj~1*FXj7Q%NfrA$R(`vB{yb_q|C1*%k21w2_){4(gB6>n15Z+Y_84jQn3kGh
z0xb+U9i&oj;-%}?pWO&`2l#;*xTc7jEKI_Xb@`sNg2z7BKu`8P)R4*~pNonzJ{z|<
z%8VPXD&%I257)7bIe!~%DYabp-o1w@w3S-$RxN99>4+3k8E?4@tKX0MBJ>6$L>gw)
z%VJ>DIe5!C5GdJD0wD5P@Q~$|>yF}N<-|M3f9_d<c?1F%*bkPm+gi19MemTBw?)jT
zmJGo^4%)u>ztqbm(BmAUEGc;delgmjdl5#;ZUdL?Y}g5?KxI5I87_1vi*qsf@wSy0
z{R`r@I=VnQ=*tzi6Byq`Ub!Njc)5jolj#2+YdgC+45-_+!#5%pPg?Y2gd@67Z1mVq
ziD<oFh8g}7JVX5SFRX~LLGeCwCYV98m6f2BW3YaQPq1J+iDj*oRUDlG0hF~})1ivf
zCqfpB3JtXgS_6`Zg@#BG$Nwte+6|LC5K8D6VsTREet@e&?FS3tJ7!^L;rH+Aw<q)#
zMPjkieijwWtl+*wQ=UJ6D2hAL^!!^A*GX9d6L8d5d@dXX(UE=3kHh$V5kS)YP9u>E
z$sDW5mk#AF=F|z;5M0HbdEB{fu1piXTpeIONHEb{g8R8zzh(AH%l<i*E>Kmd*5t$F
z21)gQuJ2`GEz1zX-=P5wl^7YFdebgo+k69yu<eN7dpt2x8}U6NJ1-+`^}88+*_R{V
zJ*10&Y2cF^!%Q4M)cu)Ltg_-<{>qlnfrjidwEI1GY4`OH11`31UT>F`@ukhnz{7eQ
zB*$waul!qk{AmCSR3_S=O!Iqcq_IyscjuQX7wKAq`D=|VJ5Lk;-cV7btt3{|wEby5
z?bO9Bj{VGESR)26lGDB-@2``0@}!btS#`+hpsSq*8Q$Jg+J5lio7i+&T4pU7D9&qJ
z+@;So210pH<y6z+!UucB#C~rmR@fR$C4T&U$=<tTHy7)fwcXd@uuk$daX`X?+#$tl
z1N9`2erp)orIct(uXvs){WVVglTzw|nuNr<{Cm^NblMoTU*+DASxw2lZ&&^8I886D
zE4Oa#k^cO-FXyyF4d(n8pD3r?_)yg$`Q45TPrKrolGLzh!*|&)j!XCd>hfY(?c8O(
z71evz>m^w2Hm+~4mfLGfrRAf3@~3Ogr0@Lg*voLrucEB_xU<=w1O2*~_7?}lpMG7O
z=HGf=qUlqUWR1ufctDg)OieguWb~@d#sKV~zuO%s`r|6A`S3uS0)b=G#VVL5GlTEF
zJ34yg$b^6Fg5CZSt0Gs>hq@O+sX6KkW^FV!s6}uS>uU6WE8st7<$wD&TSA-}kCr&r
z00WavC+yL^Mk{3OXd@fCo`N|Vjj0JtdWQMH<0RRM6Jw#0KJ(Sqz-x%B*XmoezJOtL
zhAY>tODZTIOFf$imau6~CJH)Curkr?5+Q>>2%}WN)-fO>_!L739z<57<53GQ30R4X
z8Nl3ABM0)zUiAotp_Z-PxDlNX6zdT1e;h_jN^)Lavke~G#iheb9%=v+_s6V}xOQzO
zLD!@n(=G)sG71&Qa*vXUKX1&H>7Nf_kSi=cB)d>{Jxt~a<w8piT(WA@rWk0t{0ePl
zJr;}sm&$j?L`y(Z=qK`kPh0^oGvb{a*7@%m6c_%BJ{orD;t)3w8!k!)KnM0<5vS9F
z6qJ=&3h9mBq4#(6vpB(qQ=oyzWntK2aJbdSSV7a`qvGd$dgA>#5_p9HrY#yH_n~PO
z%o-?FFviJ5Q%&`vvHa$<gal+D4|8%Fh=~&9lgj`fD<?{;I?9@maP|);ynS0C$Uzxh
zeE#u6sLPRvLiPIc`7@LXzNv9qT9tGN7_+_Y(d(Yaf9slz*v6~ZDW0Z;nf4tJL>8=~
zg(6a-x_L4PmJ6LkFB&=MJ0M)t4h*AuVHXVj3`_vgl-s_2(zKLk&+t!Q4bcU~4n-na
zhva!yXIFO&I)RDMV(|{Bnlc|e2t1M0yi}*GqT&w;wYc+vhMhN&BXhS7Y(7Jk0<Lq(
zz!!2q>%0aJW#<+(#`p4?@_sUCVbYRaSf_9L_4VUN1tq1`78Zl!Y>CcvQaBs^Dlhkt
zO6@OrVV=txd78seuTqlI=~0D$IDSTT0%s9NH<njeye4C_dy`@3!>{PqSe+ALqJqHJ
z5dAh8dYDNJ(lC}%Zh&=@`i|q^je~uv1}r^ZDPjtL3-tjKF|;J&F6k>NCnuhdCeoz?
zqgrG9)`iN%*O%p0OeYFHeHsNG6y586ZHuM{jA6%ZURNpArCAFsc;~VwDry<?6_goV
zITpiZ1yaacEWVrp)g}K2V{ZbMQ@i#LugZ`RcZLwftw|%A(1<%qn&;UNO%l-@Wr#aT
z(nM6Gl;%OwoCp=AS<xU$Dw^lg_gm_D|9kImzyI&+*vGLw&!bxRTGzU+^ZZSxINCRI
z!UDO+j~wdu`%z*`njqjgp`FKYuK|W>{O(u9_mN7RuLq(4AUi70Y`FCV{TH^$ZXNj(
z+Ii;u`PGHftahw(r^7okk2CEx?$L$~`Mx-IY6U?|p|%GyO*;?t4|>lqvMcmJ1`|?=
zs#bkNPYF?5W?C8y{D`VT&JI!`P42&*g`6Ht23x>*UEf+{S{_|8VA=Wf^m}+r-geZ_
zdZqy5&Fv)1u1Oq9O$_rZI2OwmB{IzdiQXuT>(9fHkJ=*x0uMB`=>1^&IRiC3nm+76
z_(H`B+Y|UDSXl%_MC9B@69WTD@1U_KGsHTyT3~B{z|vqH({jpnUy4v^3d+$b)Ndu_
zjny>(BJb4HLaLR%KAZGnrH2C^6q_$|D)Fv<SQLq0mh_WPS{iNoQ*em>bUJbs^Z(9e
zUO{PoarQXaNR*VSnEnf+71}-wR>K<$>6n4Bu{3;!C_eN!8I6POAb*E44cb#w*+85%
z@c!1<BRW>#es+#BG?RGVgTupLGHux@!Um~Dc<b_tu`<#9(5=v>qJlwXg`WUqAEOPz
zV8Wyz?}F5*Cdt5YIeKX>e%wOc$Y_HK*(FHK0PHKSuOCHs9<{gvtYa858=+eUte*=i
zYtJ5|XJtm{3t<@P{VUM|{RPowOZyB~c&cJN5~}d;!OaRZ;qJ2oE(FNGdNp^p)y8kX
zer?*gQOGRn(W5l0swjjD)Fwbs=Jd7L8{=ww;j)9;4~C6Sjw)X4=ve+}v!9Lg<8iN_
z@4h&z*goJ#YGv`Nz_}CBR7Yw|?Q?cvdK@)AIoav#*{4|ta>Bzm-KUDk$rVTpu&-W?
z7!~C7;g+i-QxK;co*>#qa<SCcC&$O*ri?-v7*@j(T0VkKz}cBS@~zoxY@Jl<F_f$$
zWsUyKXy}u6ufz?TI}nSec)7Wwv#z2}Ee%5p14v|q1-|eyHmyEkOXEmc_xdnqVA+Nk
z{osJ27>zC3Hz<5io&(WAv@AMR97_X3LxD{)n>V*XkPM?I4pKZNOq@m0sSTjvQ(*rH
zhBd*?*$xjFndgcs8?N35w{NFfl-|K@{{x*T;P<2Fe!~1aHD3|Rq9PR9k`vUt6C3ay
z{UlOe7u7QKz1<i)mQjXzRrCPudtaZZ=xo`!aNGpQ1OHN|PZwJO%E7=|{9st&;1}7B
z(*yiDXbV_HTV4&3EA+*gM+%$ipt+ctyAabghe-j%Z`@~yKKqn}G~wkuA9a#`@LBBy
z_9*Twq;E2JqrH->R?iPOH<ZP);PT0ZO$6$Ks%mE(f+2}TEVy4WoJV94vw@8REJ#ky
zWZ~>gipy=BgxpaGx%PlGa>R(71_$zn_6+5=9w#fIFg3rmk1pFFPWMYjSu*wfxb+e|
zW6a5+A{UUoaDyl^+)LR=HNZ~|6&2qPKb&VK9W{@F+a>48EMK=>!A4Lo0>D`rALLR^
zi%&ix)d06;u}5ITK=%#c07J7*3Wi?x6a+p3!=5hWEf{!~oNQ)qOBUy7nN{I;<fabr
zG1A5+q|RS5)e&(VmG+YQeX!;8Ey7~i{2Gpi7B1szR#ujfT8tbyqhl8ulJ9zYn4R{K
z90ETaf~5Gq7FlX{b&PME#_(0o{pUK(vmLzY;~oXc$-jFPR}lS@^ZC<c#CKkPzE2m<
zCA8ton-|~=t|>Sx(SVn^@#-j+ymr288}z$tR;}7k!wI$WL)<}HqK4Mdqa*>=*g-1v
ze9O>rAkw*V!=XQiSHgeC0*sy`aw#S?Y`WwxK(+yf(2|ei8=$Pku&*~?zIZ@&4HdJL
zn3y)AF9Ze4-@Su3RvK_jf{+~B#Z}nWXbCm)@YRt#AhOU5=b{)5bRyq=gHrDVgfEyQ
znwph03k?F`U1Q`e;@?5##=L+Lan3laeEN?4|KNChM0&-bM8|wy57fNiv!KJ~!*s-i
zg!>4E#VZV`GJQKx3u9LyfOYc+s9{W8oC|&*N(YR`d4x_56&q>UOFU^~Gl}e!4;X3c
zx9D3>&lDuawSo^Y)R>=)LYCyqdxtD_GIIu9A36Q-9`bg^c_D#8&Lu)RYkT?u{hn$Q
zE}i3ZMp&S?$-+sAxqr!dd3fLPrQl(U(rC1|@i>~2$>R)!)#7;)WxGfyYE{xr4hVd+
zh{$hj4p_|C#phInKtxEDF_cBwUz~?umXcsoMa6IV*@;R#N^BcQ5P_rvCEpnIz^LRK
z5<EbV!D56^c~bWPfDKp_wk^DxoZ?m=@l@gHjQ(Bx_N^uE7Jl|FfWCOPfFMu_BBmYj
zXmnI6_wL@!n|KU}m1F)=WpKao(<&q73nx?=L2xlK#hixA-O9pr7}m@N0edZg1t^rO
z-iHA*G)O)2vgda(qS4XQe@JO<$H#Vg+)~wgY_8QL6gJKs>sW6)y=vagXp$=rU;Vd=
z{^H5xpV!Z2!QfB-8(%cH4dO4{X85OJ{U0s@|JH)|Kfh#NLiHa%_O|D*wdH+TXPL`$
z4hjDe=(4AV?TP0oUvz5fK7G%Ir)j4;Yp4Tdi6+LrmFZG<GG1q0lr9egZ^ZJsGejqq
zX00eeS#QN`?5M#_b=&sEK)&24JSU<won2IRZL2p)%eeJ#SMN@{>sY;+Di`@S9dZ*b
z|I4~6DxyakdCr~kd1qqoeS+&m@XD&8;+-K9Rlhg4gz&xPp}OwAwY{mGWnj-sO=oWP
zrFG%Z=_(Esbt~50wvHU(rH<rW>2A$tq6F(N$?!fAOp8w3EXrwi;J3=xTV?TdtIsJ7
z(W74;=ZdI&$-b{jyO20+7!n@&7=uy-XR|M!`gZo#upe6{Pg>3Ajmz^}nz(#lzj(Yo
zVol_QTBQzU!FGeo`CHS|4;ko1@V#ZL)0Jp9ypYezJ=&d_CB~DcziVp0Wk+y&V%q7&
z@$Q!>0b%Kkl=X3fX}xbum#A`jcUeeIWUX3#eHG=b_gO8w<&=Q*er}Bu6SFLeb>Cgv
zjYT_`9nCJf?Mb()$+}=D`88nsMRvhg2N;ita^7*V-}zkfjSwZWpO*I^ymCjR)6qsT
zPx<5?ns#1O;QM`S(!cy7muqs*$VpP8z*kAe2D|J(>%sGtBO@^{XP{Hnt(oW!f97UC
z>THtlPpSIB<bM2y*`g>1Ir9ka0`@T1cON`tpWUo&I471SDjk4%&1;=`CQr5QYR(C;
zX}xX+sd_s5!XmZASGOyK+($hGRBEO7=$U8#PB=8^e!IIRgBCQ>9^>NrjqgS#s>YLs
zRa`-vLc5qkyl0GBd862s&CIq@W=1_(RUr-cTCw>5MUef=qTGpCM0;#zAhkhNK*fYA
z9;Xy?67Ndcn}K$9bhPEVXN`(+L#!sw-aAQvoIPREMHmIz;em<i12#7ht~`r+6}?wo
zO$}uD*f;P4Fv7h2{rgiV<M8r>bvZV*0a&xjt+hm(u<OiR9oQDGX>6Q}5h37>F|NWl
z6y!C&__(>TQ6jt91$_j1WqU!Tr?@W6xie2t2569C>VASX99<fO+4vGRe%|{fyQaB0
zzf|oa;w};SD`mJGN69=4n~01GDCT6za8xkekOiUn%ERUalph-%&|qI2x_*8aKuy6V
zRVT+ZjvXAO)1eTutA4}_90PV8a4k5P{hVP_R-=K|z}dEL`w_2Ox6~kwf%OznGzJ!6
zBp8A;rf|eaR=<Mq0gV;37391%&`^?EtN!J(CQ*HU>S})Zatk;2>yQ1xB@zJszJB{Q
z)c<wAynG>yvZG6$VxSu8mD6gf|Be2G-~*M;G7ibZd1oNMglG)tIzR|Rs4DmEyP^^W
zf(8>!a-liF4hZ?TFt(!2=jO(cdmY{btN;NPK2|9EQ4Cw=SLG_rb#!CBjWq>T5@f6Z
zrrr3p+}|c6lh@J}eh=BJ?qRaH57N0WPi%lJA`ny1fExn8z3jz6wEPd%3PFPb>3~LI
zHBg2ixsgL29v&cHF)o49TyVi1jx}KEU=SdlYiN*?mygs1c?Km(0ssbpHOSLKnlXg7
zO_Lf;xIQL>cI^CGf`}(4W6e?90?@X9i`hg?Z1YhJvRG(n!nmnODJQw1CkePP98saL
z_>jj7)ch+sINTxHqdGV_!TWGIZV;jmoF*_MRlhrb76Ew>9iRs5WxrJay50k3J)uW{
zbh33fuf(X|T!?nSZlJ&TwTg{UxIf1^5{*M+t)3YrUr`wu)u>|}HFyeC`w-Uz0Gs&s
zW;q=5q}SmMidL8;?xUE-s6OByXkBnsq#zg1rzOu70xd1+^UluLWq;u%LobA65Qs4=
zBC0(f<M^a*-Rgt%hxf1wr58i#LW+~g;&gJd;O7y7XxV5o$6(2#`w}8G5cR`D?Ila$
zaDj7%E)r}{-!A~Ba&AUIbB+W+0XS`1Xa6`uN(i4yVBo6HxONC1x8e>0vc-`KZKR45
zzg#LtGRu%eWKApvN@O6u4Kqu^G&s_bLXT`!>LjMxaA%=ugfj3d9S88EhY$O&9m53m
z#dGZFW_OzNO{B^wHHQg3deqo_5dfQ;R8Ge37Px^he3>?98-kpOjtHHSa(KG`J4so*
zbdIC+UGe-ZdjC@%r~iufOiEdR7?IP~AxycpZ2jQhU(Pjm9_QJ^qv@sscJof+oTErT
zB^Bko5d4l-rM#zlun1l+#Z7?T23j0^Ol07qT*F-XY&4FqU(=8@PsM~^)BQE&nFnla
zx}gieGJ$^r&<79S5YT@zw;GyU(hS+@zL>DGoG)28NzE9kGgOr)yCdi4=rl8~0wT9q
z^*j^K|J^gr|1O)Wzbb&~Pc@iGhxLx9j&}`=+f)55fK`zFMSF%!7L-BHo2Ai;%nutF
zO`ZDW(}h?0jxmM;EpYtw>g)1=Q2SE{q7OX(+xi?5|A&D*8Q2L&{{{eWSRha~fr|rh
z&(kAh{9Fh{^~;w>!A;w}uqC{*=Hpfx#V|-&G6%>-@8?@FOQP;C1TOhG9s`s9Qv_#V
zlL?ZCQiYdlHyd^$AASfMPLQeyJu)n6_dmA;rRBkc2dO!rAfTphb=u`u`tIG4B~?lV
z!GP?b*nzPV5klDAupw6QHZ!8voKx+19VP|i(1TGh|AQ=9?+j(-Z^hGvR?qZzN&<p!
zN=vcFD}!srL4i)wPp2ivQP7>yyc*jH4iUMD?}0clG?>(<n20>ve@IP0C@n25XsJno
zCIA|s#1L-rB)|~%Z2xw=wj9XNvv56p_&qePbftp_Es;>3^o8WMfNwyVxqGA9nKP;P
z?;C#`0o(cIBQH)Cs+P8P54I`6$Bh3&cfX5ACNvt}2&i>|dEn56$8kL-C;?eU?F(5S
zP7};60X}1RqUy__{pJ6gnC!eWbfmBtB{c{@O#1Ahth-q_{omT3yD{i<L8u|so(A2L
z8N{Qx9uw&n+yII!eJgPfJm>F$F4%hDrpDP09l)Nk!NUKFeax)X2BJ6gbv3wLz<jv7
z(D(-l^?iKw3SwWp89Y)5*ZBj{^au-?L~sbdO6U9v4_Kc8#~JK_2N7eEZPwvu;~Pzu
zwl5}J#^zOduOLQ1@CGaa7f@3mvmYM^NH9d^n0Ajcf{gda{)j&3yF+VlZOQ)!cV&0v
zNdJK`R-*sXe2?A<ARhZW`Qm)A$CxvG@jGJ9gW}fmJYZ^v)&g%%Hykkctxetl5UhH-
z<j4IWJbpb>2I3iq&{nc5$Jb`2f2r{wG!(3|o|utjJ!+``wB#~)LxB$C^hAe}{nV(?
ziQ*4UZ;-6pQG7~q2}RQ}c)PLT=pl0!4{B6**`%>8qImZ>v7Z#{W22M`=B4YJn%@<!
z*h1B+@`$nIG{1Y~QeC}pP4S+u+m`tAi22cXEpqJft*>WUwMpDZ>9#{)$F51Yl&fzU
z-SwP{vmI!($<E?azgJPIC9IB?Z9J5K(|kumHYMh5&%5r;M30L<@S^p%sPoc<w8z?U
z(l?5Q28aiYAAI=hrSxB9rr)G@(hSl}ZXXn&Xilhn)jJ_Ujk+v!R8RG~Qm<(7W%f-Q
zROq9hAN@{DCxUdYHdgPWQvGt|8G2L;P6rrc;?CLH`v&p{Ht#w}^EYowPqc1P3o&pw
zyPYzT!{R*it6rSiKI9#~_=E6_`KPF&ZnI^XjEV!MI!jmkbe+g#Ew>SfURCu*-aA-5
z!j0c-H+S1sYISGxQNviC;CAEV4RxE`m02mflQh^`b39$;Lq2{}G2~H-e$g$d5*Ng~
zN;Bq0zeJ#J{S}@(rivSV32|j!^jeonZ};SSv@L4h{YR7|=n=sNslECM>Z>$+9lqK=
zz5O|mUYp>Za&&a(3sO~P__LWWP3&=*yBe(_f~EEB^Eax8DMBtAXf$N@gmlF9<Bl7S
zUDnatjG2|vmvrk=EL<IEuYYQdwFl^LrtZDhzs8_yLOZ0b-1CbP;q2fo+V^`yDE+nB
z3Z4lXP1iBSvS3futl7OfhYd7tb6%OqDD{X_-s*IvtlnC|r0z50-#C0MqV0of2jv_5
z?V{IEbZfcUG?Nt8Wy@q;rr$`osvb4?B8C=przYTps`#Oj&rWR}E32AMX@}J52J=x>
zOU{RUaBI9r7ZM+@<sVg6(;1`K7>v2zzppl2sJ?wvYlS(F$uH%Y@ePy{{D&<X1y?Mk
zTWQ4(IR;p>DSPDc*Irns=PPH~U9fqbw|<MNno3M!d|lu1ud%~nkM!y9tTWQa>pw{p
z+h5OJ=tQ%4w9TWjoL!zbs+zTUtie-#iTRS*G3zG5{BpsSnkS#0q4eGw^rX!6X{SBE
z!azAYbd`&JWBAWIUw!CiE7Ama(Y|}?jI$4)TN4pjW^@9f)+bq3I4Q@tOf$S)M(=_Q
zvHdO2q|gnsguOJATW1*02#8Xt0;>v^3)bbX3fMQY^sAmzlVDE)GmE!5gBr((Qtt{Q
z-Gsw5O2gI6yqpNWC`CTE^xii={e+j9>0JotdGTNaRV!{y%aBP$6(2Pwp0C&~s?Qt?
zyvfOIJm-Vkz#aP9Jxg0pht<ul45%5@U#sG8l<<LV@PQUJ=bqiG^!zoCeYy)O=q!TL
z0iWKQ7L|(7zRMe|Gs`|;AEMzl$xaDS7XA9vz~q3VWib7Kr@6v0^F+0tOpe`7qp@G#
z`B_CnfbC&*W+6H56<`0RF8!CCWd1yi1`On|;e=iDr`1fqIsxSXZ~=4yF~FwCO3O4J
zjMHopke2=oTN^kiJ@6QMdcPsk^Y^cunX2YH4h_ETw2pW-qL1!*IsR3KwW)67=TCk1
z%%fS4L~VOBDsiyVc)-sCk9moG9Z{vw?Kg=Z!1v50T6mrMjHIx)Tq=fo`(bLGxnfO+
zh8Z&`0Gh%b^G%}fOZK<+cED^=@$r+m5GYji3=K*72Kq-8HMIy#P{1Bfx@R+g0S$s`
ziKiR~h=?IGdXD)+#txsAyok@Y_U-v^9SxeO0!*k@Q~M2)FzOoyvU2P=b`@Eo_`c4{
zNKeG7is+X;ehBrTo2B|fLZN4F007~lJtuH%?8@JbgAAKF-3nOV$hCHKdAPu>q*)3i
zNTzEXXzTfO?G{VMOPl57S}H3mF)qW{`2O2(m?;NO_|(J%1QPqw3*h6q{_3yN2<Ld^
zgWWZ+Utg{K0ci}X?#>@SGHm`kztr;>QMM-`@%ZbnzhiuTIma6|j48A3xMeo>j3Dxs
z&Sj7kO_8`7=}ZvC10$owfVjgWjC(5ygUi$95Yv!iNh71ObTqABQjhLGbxJ6A5=tA7
zuf+>BJ5aeoO)ZB8678=<6_}6ItAPH$>j6*=v9i#cAbFGCQ>eH`bNBDBGxETQ+!pFw
zqu>&GHv0?8R{PJ-e}Tk-Xs!}@9cpTS;Ko4v77`dJh9MBpw3X_iEkeHx+nzhjdZ>TV
zAETZ7JH8SSGNL9<@7q_5<pa7H5s0j~QqWrHpaJ43|4Nzw^K7usgT;-a`4t#ov?S7#
z{<F!s*#3ISQwd`y^7=&P8yP$JruDS6;`RCY_$-ef2b>Hr7_(-^c~JmE<cg%=VaQrg
zDgnWtLO0zl;W^Omos>lKfHd~B|H39Um6rP0fhG$?1^zd<`J#ozceFLe9zx({;3;6d
z)P{Qjol!!T?r@ho3JxT0<ax}@mfi5rLGAvZf=qhDsYYwSin()dyTbDe(79gWrgO5}
zgS5DD|2_vL9P?Ohyn)+hw+MHUA!j<KroY<TsT=aeK;)olqOIoQYQ3?43qBQUUbZUa
z=5{yp!BRj@t<ijrnE9Yihit&@Fg$>^0S^aZJYWlBcoi^Zi2|At308Uc7{p!w_3_S<
zEHZ*h@GU4tK|?WK^6Gw5gl`N?O!*tE@NaDp)KIFh_#yQ|aK9<uuiIPp<JBPpRMGX~
zaSl#Qqh}&5vv6j8ADX}qq;VJAd;qmWe%()iGf;hf@9ws-v>XG+3;6j%xO4;NeYO<L
zEqT-V?e00cQB;KD&oa?rK}G6!m;$Q_zajFn4EiF@Q8BIO<P!9tXv_pTOtap=28w3)
zM@Pq83i_*vd`l3an5>Zj8J<X}pqo(v1s#$h>Q*wL?63LgEWBw|PeQ`MIc6=*`pAS$
zIIj}n>+9Lskw%k>#shkf0+#`76Z<x=WL|I?uiYw5JZTHT(zoUJvx7}vpN>H)2}Xc<
zj@0P`?eUO<P0bNSD$JVTZF^ZfvDfi<n%}m8)k!Ge!2=<)mh>7%qTlH&3prf6$XyUl
zUn=!79f|_pi!=8qNsXhdz^Xq%S(jf7A>indX}}s`jqrG_RiVp^iRQ*GB;?M_tBG53
z5K5qu>eJYrjfQXPT8$C*0So8n@Z~<ar@C|JPJ?~ocVfqWKO>5+&oK;MV|v!s+u+<;
zNg77*x@Nl5g!xu7>m?Z}(tzy2(fZ-k8aB3KHgIrJ#bZD5t&8V+JbWuCR)cnM8SNdo
zY=jY=0QLKsIerPew|B(8q76cxem~^Pv}Y$jgkj(p-F{8d3Ulz<%Q%MMH=&z93oXIN
zSD2e|-X<%FrV-O-u>GKoMZ}sPm%JIKBH*+jTM2ZCxmY2rzA-T%)H^!ThS7~0P<QV(
zJU;>*1ilP(3ja5sQEvq)5P=jj3p>UCE*Pxft^16La9G1}e{#>@#W0#f-@V4x`oCSu
z$_hEN2k-*WY#==Nnub3}wIWOu(@4LozHR$Y7G_TI0hqMqZ<fQ<>!rIlR$#dyP=w#{
z&jegj*b;#k&Ut9?lDB*J6=PqpV)(M}uR2@~=h$m-Kk&?97_o~?1k8jl&VIv2{~Q=f
z)~2xYxKNyyP8cPCvmILpH2B`$C3uv`RP2L^QpxnC2=Xl9P)4(gz7c<4hEpAKKZs6Y
z>BPZ)Y21Gyb*D2vD)XE`+@cme8>F(055fT6KxO{WVgg_lIcKv$5Rw;s1vUBqPdikg
z=ei$iN<3g5$J*wV=+WVFYiL@U-%0Lp>}`J+HrDpP5g~cGSsz0Og?+kCKi^h9s_m{s
z<8$!t@w{1;k7NN;?!*t@R#67(O5D#(YP$I9*BaST?})k-rE|K!H>A1*h)}k%^DN=u
zf4Y+Lw3|8O1k|`J9wFuR5lXZiQT6oR&ge_DXAc`(Ly~HLsnA$reilDpBkJ?cI@sz`
zpc(BM*&0wB?^OO$rG@c&3r!uiUPf78X1exGVe}pPG0%^yN2~T?R0+5F-8yk@s(`1V
za{&vcWoBG$>=vN9@z1U=Umq{CIjXqqR&kPzsrM4sh1B@9{7cVes+X*o@UJ@ngG~=>
z{PSz{%Wrs7zcfx;)4m@WmMV8!XuVRiQ(Gd$Z{`u5e)`VR^3l#nYE=LGuR>GhmptkG
zPQe@V1@@m7qTK5j&3Cw2=ctk$WJw8_z2|Rmdemwub!W^IodWJC*1_FEKUVWk_l!;5
zr7L9&3Y7opHdUsnC3p{LAC*J<vnFD?EAt6WM{wn$2j*2i^tFqZm}}-*%5RCf8E+<(
zP*KhuHG6JlMfy}T^K$B;(!TQaCJ8<t{>YjvkpkoPmvTZIi`Y!RtF5f!{=q3^tgEd;
z+a|i&P%lOM_`$?GT%w1c_N>wzT>3RK*WB-nz{8YSb?&I?GM11!9TyrcXjbQw$&N_+
zgODMEQMj4tU7sCe4V|88>r)+!oC;6dJNwX;3?|0bbkcNm1f~Oj6-Mo+E#7+dZCp$#
zUsT?-uh7(w$uz%BizvDw6pC(L(#M1%KB}7k>0%*w(JsNfYT91qyZpjb>fUAn+QxWp
zs@mc;A-eH#?z(8G-u=lHT<RZ|o?+HlG^%AN^1i;FtuBAR&-bO;^w)CA@q&$oITHtc
z=r4-(HIoilQrinWT9k;S*dqMA*pigQH?Q^CE_Mb5XPmp=WX0v*D8I?Cmd-!)v|rnK
zY^S8Tc;UT(U3QYZQ7N&;>AmtRFgA&7LL7O8*C<9Q)6!ZGrrz|qxSJAS)7(=4*H%R7
z^5eU&<Vw@&HQM70J<pz9<B|N+dWPDabaC&e8-fRE!8&6;hf=0h-Oo4hfD`iWW1Nh>
zM!#sj#Y0<tVqh($Svd80BkK(s?Ra73iN=&z&wVr>XS38^^}wqgJQ67$awRPqd{ImF
z8;!3?`n&TGB2)DSDId~3lVdxVrWTrnuD)2XEl7?UWqz6^G*9l?J_VYZ%GKOkGh6P_
zABZfG|Lu_Awo>!`;jjA|9~bl~($bbjqzX;FDoJK5h*(n=xl+^Ta(`c(*34a{@m~tG
z*X*OEa=Ag@ul}GJibT>U!wi=sJnf-W`F+=K)l=2vFHonkFAX=SHyc@i@ZNq^)kDRi
zCZjgak^IwrsvgCws9|^dqkn%Yr}K|au^kmm-bgWZwW)Mq3cAHc30PjP7k_t^rk!8E
zY(ho8y3Uv<69xr3_|Q$RimJp!<)|wL%F$>O>xJ0a+7xJCs9$^f{p*^2;_f^)cQ#0Q
zaP^a;0Br95U3R*k-Yp^dt5yFu{wlruKl&v|@HVpYA+R7x>L}O)Sf0Qy!--*q<Y9Pl
z00cd^0YFC94#4FhiUSIcN(NuBFJitt?chPF^&BuaR|5%mq9G;1HvJDYf(9MXl8T#&
zVH7Cnc}&#cH-4g~txZlVhvX07o!y$xD35oiv^!+uu!SHErTHy?|Iky#bN(?vPjq&$
zHMl-O!Gvo@3`MzZ%@_VoI3_k|YG@p>ww_>>Jo;xO#nZ0onQ{;&%*#Ma1`&Q_q`88E
zLeKq;@)u1Uo@W0Qa{il=Q;PFDIe8i)$2UE67|gC;W#+qyG_V)I=^;;vsqbwqoP~(|
zwF&@GME~FmM%;7=&z+sec%8?L(ssa}9~ajJJP$Q9%<`j{Z4EHgb_BiBu79d=&|tV7
z9I$`q)>xpWI>j%CLkG<Z@WD3-)oyA6)(kmCZ%clzY8dp0YWH@Yz~M?xadiG|LZiI~
zc8dHBpDt)cfVTQAb_Kr&y(KhbjyS{y!rmiBEIlJbu@RwinUBa3kC^df{j;ZsW9?ce
zXcxd>*+B+E)A`G@xdN!a*7SVybHJ3C{YoC=q+uKdJrpAV78N!d0J7h@m(fdTe%3fI
zw7XDR%EO+HssshxeR1n*>1uBHtXo?n=>WnZT<O3hb{KLH(%Sicz0>tk9GK<+WXpKL
zVxjs+5*;+J_Nc~W5d4P36f*k`JYi;579Tmk60FX(%ZYz=UQQ_Jp$<iHupyq8j76bE
zLl!hSOUfh~_i?jf03}kienJF7-glJ3U{J#)?ToCfy3o@AQN|#4l+qlHRXuNDm9<3s
zfu(~{gYQa8$b`D6R%tS=&=5@zq(&u>KG>vN5-tt@Xm#c~VnhVCWb(q{C@Lhx9R;S9
zpMTmuUtKP;5R>PqWfc{2n0_R9A6WgNX6eXE^A~5fs9=(1=A+I3M(;hi0*96K#pzuX
z5U5yH_vxfymYtn1lQiuBT<0#wJ$WB-5;fuK!n>_ypSU6YdyJNW7WCl3d$q(}oc^(Z
zSicV~B>GwB$7(fIqyO}I2T1(o%SSCw@DJdKR#tI&PFI!j`eCr=QJ-rf=B@w6`JIeJ
z8Wq}Z+A!K1^)PXt=EjQT(!#Y>z0QDo?Grvlv#B2Bn^3t_tK7SRx{{fuJw|p%5?dG)
zdgfqf!p_HZ3`&&S-$|4nDJFMbNVZ(&^<(}&`5!8$;giQ3oQ#=Wa~@`~DU0Kdkd<P~
zKsOB#=C8v}K)~kYio<4RoGJjUpX;8|TC#vK<cPfIv%{D^9UJ?@^Un|$GA|LQfGRJO
zmz%JXozreU`~c+}Qa@H|f^m(;Bp)oTHOns;f275uM1*|<nK}S@eCecE-NJ&~&<;H=
zJe2x)${rUk+;`Og%Yewg%~6mfJ_rUIafJ@AI@x-^S0l%s{*wX%tIcQb=hwij`oerX
z0*=b4e*YY80qHJ23f@i`)QEc577+i4^PfTUzA@xuLqn+1UY!Ui)Z2O6q55iE-U7TF
znO{iDgeo!tokiB^aElIbl7A;Rp_qNm_1u1A?sUc1Gc=}gm{QVQ8O(Y_Cc(HsjmK7n
z{G|rHG>O&y5Y+p;d;2!_ge<B51O+Z4qGoC;i`4(-vjkzkss1mO=_NTd*r9^Rg^6==
zk(F%VcZE+^GefV0{`dE9{1Wc0i)hb4oRU)%cUmX~n(jcug0;>U1&J;0km0jXGKUSR
zn&@3{>vl>>*{4U2kGn|9Wu>Lv18{Nw^&4DTdU-GU9&9+!L_##Zl(Jh|T1u|@!hR5}
zD2a#LUNY_9{|bCE-oChn;Y88>d2j2-lQe%bl}++lx~tAYH;dNzFe348-D&|H|Mclk
zy#9E@UqxJHC(Cp+IY{1AGBrus0_`FW4Vw6c$@2paPVBN0Ih*s8{)1U`l`+HBxwyKH
z{AFTVkZ*9J{2k^S14IE!bm(`SGJN$}85x+Pv==lRnMP10T_inE+*yf5t#5+_Gg@zD
zu&>SYhd#T|RbvBzqZDyjHju%B%Yg$FTqm|RXyaDumRHVtj{cU}93S7uH16zmG;kB;
z1Vu+jNl-;WQB`$y)=DYyv+7)#AKlzkxKz$6+i4nKjS!dkb@l^~($+J|Iu3icuTeg?
zS7C3XbK}t#`HB+}0VinBEL;jAJ!J~dRmzSzlOW>PiU;?_;N&2%H^4=3YMj$Yv=kZS
z{&4ta7679==9E7>{X@R2aBuB4C_*uORYIcf^=ocu5JuH!IKquDz`lS3Z~uVU_*(}^
zG%n6e;zMNT<X}rOn($+y+E90S@j*}<6?<U!3CL58!j}h)lm*yq)zjQB66y&}zC$)t
z&m{Ssm3|Q|6)1BoN&S}H_H^h<5QRfPKSmy*!>KscneZnBCncs_$L<bl5Tn*VfBd*z
zT%3&8aJv7d<H>3Y<&g&eY8FMv91+R!T54f+O%1r%4TF!Fba8E1q67%ViH9yxymTfP
zTpHEQ2Io!5xpMH`J*Uo0joJ|qnLrcaXQn8NeFjbz0xHnNs!|+^7Mb+y0lcn?<E4C&
z{0&XH&M7Zu$@K3~8*==VV#Xv^@cZ}ZEc0N_j)*YB1w)xv+uQc7Q_mO%Tr<cANrB3H
zQ+6({LS!1wI2;cAM+<Om<Bk~2x`Ip56woIm062#(d>N3Z%+&pJ8=vBkB0w<fyK7=&
zi(|KouvjyK{pRB*uDS%9Htr$pPOGGnbx&AYy1Ti(DJd!K7zAX?x<R~aNuc!$1V#Yz
zAq<d*f!oYw+e|WkU{$f50Ek2E2GGxOTL<o_H*G`&gfH|6ULZIG>ElIymmlux(e{8o
z(10Gry0uD&4&_{&*~57;)dNXiC2sVoS-cr*zQPmoS^(|&ADpiQY(MInD+WxQJEVS*
ztTK3gjJCra&p-Z_HSNlXHSKga3JcHSs)GdhY%<z-5vNoP{4#w_nJO6T2v87o>BPi@
z|7Rx3jN<sZ-G3ii7_VyB>Xj=I+?$2C00`haXkFNsFam^u!0C)wXFd}i85xgvx3^?w
zLE$Tfi7q=5z5rPX9<k{>jx?r4M~)q<Mru=?TSxDCAexEx&Dban4GiFFCtGurlTpBl
z&LAxw-2cvd<OB<eoheC_Y}q>qzz0H%DyI@~gNV^H(qQ4AISC*ES_EiN&j7uHJBSp!
z^p7p24TrY>y`4(hZ~<(UmNpJ5>5F4{T~eY8TXQ;CVfYPO^KJlUK-gmo(jieOV|l|;
zU0YiE6SW?8v|~o&>T(kpnPT9$%Fmz#dp0UI@<~9CimF98v>X;qs0a#X|G4k?iK!6{
z5UX<jI3q`Uqyf+RCIzev5>zx7%QlfiP!KMh9A*SF5x`IA+))VP^kLWzSvl5M!$b`M
z1=v~V8BwGjWui(&g#~F?ifQh1%Gg)P3ua)Py2&N~2PiEDSnk1u9Bi}Z0Rj|>jf?w%
zPSe6{5aU4Vkp0RaR}n1dx;TE+&-(qJ2we~ekwHOZ*#PbrDmQ_i6FVDGVD(IMx@^_U
zMg<9Y%C>>Y1rRPaa+4oXi*DS!x!N;H<J^=f<ZPc|r2s63V~(uSadZN$petf@2-L+Y
z;kNS;J?eM9ZUrHZ0YTjmNw<0oeZbMfG2oR0jXSC9f$<p%R`%oLg~R@=v|**`<uU+i
zDY6$3z9Q{59Ov(k$Wl89?;w(W1J0a6Ndo{In_dPTcj0)uFJ<cix^W}k90-w6`Hqc^
zk^DA1F%kXStjd1&aPIc%LvqyJ9m$u(T4wAlb~ZwM#;|(rS^>WIo+h~6pqD<@)%o4J
zH99=}zO>Xeem7gyx38Q2Zc3^=CpBy@ColuSiXW?v{0++r`GsLXYLB(tl>k=%IwT=g
zX?wfW0&2jrk9Yy59sWFx6O%d$0UAVR+J%#N{x*CWz*up?4ROoRbFi?)X9VK9kwYuD
zN1r;`Gr;=yGeaV^X#RzVXNBnup-w(P8ZDZ^!hdE}c!yM^1B;4uy`ikj-Z-1_efqXU
z+F5Jrm#F|TqLs%}uEWA+Vm$H!ZOiv88lhQL8n5E+{%nnRjpc75H8X(Izp<*6t;k1v
ziTV!XG~u*Ig$Ij_^NGaq$;2>8*)P$SZ)$h#yzHA1%x^L!_RZRoZ}(v1nUUpMzB`H6
zyedB?nm$xT^$)5@5}gH|)M7)yiwpbfivLhOrfOC#uYCFR%0e&Wf$Aa0*Sj;id|NlP
zyxN*{p>GY*mn6%xZ^T`;_sVun7u&&dqM&KR*5Xa&=4-uA%qlOq9r8!vs>3E>Vq#&n
z{pWhot`%(`>fY*3Z4^(v!oP7wqF{7wmT(UbOHIgAX=59g@3#6H7uR?_dM<8wD<qLo
zA$VU{_I|-xRxhEM0;+g}s@8Lc+nUu&iW<8u$^{b$kKCa<%$qhvuRmXSAt5VlfsKi`
zjYdJM_V12_`a;>}H43z0Q;I-}QG3v;gB+PHJG=c4T(~DQxGuicn{Vvhf|ftO^Z4_+
zPp@d}nVn94lD3ORTr6~1QFoB7sAF6x&P21s_;9lDrqbmv&uX|b3HSu+xxTqkp{+GY
zi<7~u-ajcym1lmpTZyoEa(Bi(Ns1WjuOL{jnXw;bs=WSll^K!hsD5g{<k9AMZ+@AQ
z3+(RAMHdqLR_&dsIPhAf@XyTF-RuI_ySOekKOB6LtnTL<>vlZPl-Rh-C25Oaow0cC
zb$*Y$9fv;fzRu*|u`R1YjW#IyY-jR0WU<fKx6dtKY|+b$82)2zDGfo~bh!Qq2%f~W
zNw{*v(YC^{38{Ly#ZH7K#ReN3J^Bcg=%?TC(siF&h4fzdT~JlPhj~Z@sc!dkb8}H$
z?SjZgwGy=g>hoV1v<oH%%2AA<LuCmwB;-DkdV@5Y>c&VWawQKJc3{|*JLZx9iK>tv
zZ@VJxT&vnxgLARf)6?p}O%(d5DDj1KF~q=GgGtD2AcqE}q}Z#e-Rd?XmF_5%aLU2|
zjT0=QUSuUj!f<2JDr^|m5eQvyadV5eeyG9!XTaZc8XFsdaOJ2RD}-_oaCB#5s|Hrz
z)g_ZTyAmwj@1B&x({=H6P?U1Y#JRtDjZt0%w7D2miJ2z$jp-fOP#|f8{8L*)qwU8J
z%M&L?FxW9Z8N?nL$Aa;w7cR^=x44qReKf5FXnX;{z?RU14+D}2tQ=y&{#gHFrfAl@
z{`({XI<1lShX2)xk7JV0>n>7fOU}tjFMywE%NB+rwCj+fPOsJ$5EYG-u!Wwf4w;#M
z&}BDBdG*2c1Bno*5*<N4%-%$3JPuiu9w@U896XpHLYkM39^K+ax~}k(qcEVQ3icro
zASfk;g@nj-G6jVq?Jt|CsJ#j=k#(WXX*5cCry6$>a5J>ypwnf?cJ6Z-M@da{7YXpd
z8jEh=$B)=2jW`i)Znk*i)7@x&kMJG~3z^{;FR=s|u#JXqKf2E^lf3ImNy`<cGcVKQ
zT)+K2bmI(_4;>mD8cK+d2aPR#rp*iXxHte68Hagon{zUm4}!&d&_PaEAYc|bvC|MG
zJcCJ|OVu15jVytdmWxp10g}<msDfGY9Oz+yFgQ|FAB%xQW%u4NRE?`-Kt64Kb^L^<
z{*EPFs6rAB*oV@UwCA?dS`Xk4D2-roQ{fFnjhBz=u1pb_4bCglUrC03N$ZG-i|hO%
zEh%_Q;P2Ci{tH?(2ZupmLgp@Cy%AHrM=D-}ALM{8LR`OI=RzQ<#GVO|%bMGzr1X>U
zt<qjV+>qh5ApxpvXt)RrJym*~r9z9|Hdja5$l-&En!F&6;Bb(LXqQAifEprP)?M!^
zc~B<Vpb;rM2^%OmB?>nNoFEz$m~63tj4(XF#6$*(7og%BTDp(~IRq1D_KO!n2B{CL
z?m-oSkUIh&DRICc7gj#HDC=QZv?0F43~6K-0u&sol*a;F>ji2L@5QsK`@GcZ)pM_t
z#44P+7@)M2fFyo^WBdSQl2E4W0!{+B0oW=jF%bzWZWu0yR{+Ez@^|a3A~88p0K#IJ
ze?E78M>i&VvcVkzm$pI}dVujey|{g9Y861IAZr{M8Tp)PJLWk%<_QW1R#cJ;{Cj`)
z&fgzaq^1MLS`0YkD9YnZPmz{0;CA8$ct%l_L4(YpfZ!gab9P7J<BLHOitaKcZ}8CL
zEX;G@`NPuI*(r%~s%iOy2M;b^A>VV8#|0QEja?4=$KTJpd4BuIgZdO}8r)`gPY<j=
zMb*{mRi>pD>7bwMlexrBF7ra&47ZJ-ASh#UR4?{S%%^x#WqepksefQ#o3Jq2Hwdz`
zOhi(eJIh52&pSBmLB!h~9u+u!&)@@KZ^LcErqXw1h1@zM<~lfCphlg%S^4)ZtUiVM
z4;3&vX2zB9Y(DX@6$cuF0l7^hC_18U-@VJv0)z(Fus9VB%7NL^&HvsHnmE?W#*m?N
zn0QcIUCpw5Ic($liZS{5`IrF##0|m=sFBm4zW0Qi&#(Lv-i!Xf#Ye!&rOeE`9KJJq
zfg&rwI4bo|NL>z?oV<LQQ4^StHM&MfNWqIXy|6<Ehv3+L@X!$P0)9$PPR{(yzxoCU
zJ;uKuYdBdP8er@cjGyp=?|Wor0v%b{<+)C8xf6PSFw9JFAt3a_ZIBh|{u-7SaOm*!
z_f`6?|B0lkEeSk=f=d;wtm2sEp;2wxgjx$Vs#)PhQ+0Jw*gpXfIi8k6%g)2IP(a-$
zWp6DCWz>_iX`?}OrEha@d-PMZld;&1H2A^Dqkl?)`QZBn@YsTVX$jzz!}$3lxo5e7
zvdYTJLeKNvVFC^AVua+Fmtz>4W?bK*+;lVEKv~ygILOv}{yoT|1HeaO5PdlO;i$@O
z8$=c_z8+hhwC~X_aEidE{U*tl*&*A+l}`rQYaZG8&jFVsn*?_Z*2fV79!8x|Ol~0O
z-xPQtlhYmeC2CQdK{BB5Ft0ZMYOv~#k}CtdL8%%b#>{Gk4_$oiTuHyd8sINXtwach
z?oCbDs2@YiPBu9(1J;`$#RZOQf)oWLl7p`<$YR7I6GDrB;^p&GL?#0MvoAcbr532w
zVddA2ym{}QAr>|C-o>w8AvVhFn`J+GOgKjtx52>i_|<G9o2J;?@{KrW13D+ruRx~H
z@DO`G+;B3O)-^ebC9r&BD;7x$9zn3a*#tyZGBPqanBZt=K_iE|3CIXT1ILxC;rm65
zsT@KTy>MugR{DzfXufo3JyMY-&|v1C1nn<erc2if;l+a92%4@bC~EO(mMVyZE?%%e
zMj6jz!=<?e^&taUGn!<?4}K$Oqa30k0WU89nGH@IEgO6w8z5J<$p^=b(;3@kEB#b3
z9wAOXnk(8#+=izajdS|yN6QZ0Tt|V~5)yt`sxg0nG&#ik89%d1!;jlznaW4CIl0Sc
z)88iLbwk4#IAtiq09L@J0j&{=eqTSoq#e<-(i2lt2nU<N%joelCKReMbfw@iK*B&9
zavtPAToAGeuj%wZYI$=D%M}~mhOA>af;a~A&g<(ppj&%%_C9eN56Ch<AVBkRWPJ;E
zYcj~E3YDG&)7&@yZ4%}-O?;?oLUl}Vcz^yL#_hF%J7v!FZ}1v;oJ0TUT*_4@Nt`Uu
zVrU!sc!<(u$iYO<4-qMjXl^2`>})pgI}usjoVYmZw!RMQX6ZuO)wR5nL_|i8a52Xw
zBgS`SB5Yri#!nHkm0u{2lzN*~e||p3`zD7Nz4%?Ic+-#7gvo;#%RnQ8b#c518y98q
zQO+jJE-Jfebe~fTA=2ZATswB#61;ERs6ryi#O6>H&&$dxf;zu4+|kJ_8Dr5I+P%)r
z^lA-X-e#7kyGw|{rH2&xo!-{Jp<U$|D`D*VdQv~!jFn(w%C>o4pJYVW5LZcV3B9Ej
z5<lS~sk^l3(F;lHdjWpM5nGmrSqF_ZQ^lo-w)(wc$1F=HYcyP|a+~fmj8B}>3csEv
z*Se{a_*mMab9J^qkn?0sVFqInpZhl&zteYL*-+Z9H=h?OXj*$Smu%7E^f=2B?yIcX
z{4x4$rEjs{)C5sr+@yas*E4sq!oh=XG2izX;Zn<@O(knWB?lfZ^UCyo#2i?|!Vsjd
z6g%v0tG>4*Q=_s%&u!uH<XEQdA4Ao~D@T==_-a>_!~`>^n5yVE=bC@}-SB&;D`mju
z`7XQ0#%tW2wJ#a#`ogb$yrat)clkMU#-S#BYboVXavCR5F7R{B)x+!x-uw1=>FH_`
z$C8yRrK$sL_jX8he|ZyqX?NT}RU*6M*K#JQhlBOZvW^^HM;+rl4$fX2;PgUUvdu?Z
zM0n=qaXX!1-W(g3srGgUiW!=|G|92m-WzkhyU!7Iu`k`lnrSY(w{Qsjuu;sG@ZuO7
z)N$7^>-T@#a=pyGth#umS9sDer+z`~>6VH`+pUf)rrbyf)E<dZ&ND017nUzvUF2-9
z6uH6vSGwk}q0S^B;?}L|tDk&)vI(u<%AwL{v)`2kC)afZ>qc!B$!mEf?c3iSxt{p$
z@Y7?h{`QXR^b;c-sat{?-Y2;qd*q<CO`dWrC7SWf*^riR)<3<89QjtGt0ggO2raRg
zbL!t8%4n8I9CEFweKF~H%AP^tVD98&z69o?TOFdlXX<|EMs3gY-|97U(Ef&ohZ(<U
zQ+tfg#nGqES(C@JUPSM6Y%Tdge|%*)${=eeoA=-i0b-(#E4;n^DYv9>ik$03>2r&{
ze0_(1CVmmsEfa3Z30_D(`Gt#zorv3d;Sq!1)E}r^uWW@UePW;Q3b_vJZEC_Dg8UUN
z2~yFsDhnc&7xZ7Q92()`q*5m%UrGPPW$?;w@S5Ad{-sT0P|(o0z3&mM-0tVK0gA4j
zd#S5kAUW*8blcqy766do&4CQnIMW8OKe)s%C^E5~6^h+MZb)UAL;{L^0OB|?fiZtU
zJ_mL@vnd7#94UyZ!jN2Za24Mj(5`{IngT8Xez&`KH^x#u(F<2^$OZBP?5WlD$0m#x
zfT>tQ*oPkW;)(S9rl*C5gp4*%G(=bQ&?pjR0_HPp+LV9v)glyDC@w1R?)a9X_T<^K
z^B5n5R!2MOeR(+u)Fxm>=q_SYQc@C8AWs2;O>P1QAqDtm&mK3Nj3_!cfR7A}4Fb)A
zjgGJHIz4XN94Mlsjf4_R6rP08h~Z&M3dvid#DJq>9S4Wy$&;uJWQBx!k!B1ujSR9d
zm-T{CONaMccQ@)V9pt#+I6^IsyM*AIS}UMm3m)QLA%6yHFdPGj89fcQ5#1#)8aTdC
z5}Kic+LM)uYX|jFo9yi5lq@O>4~dji7H&D(fH!^Ilq#{3x!&$cn3R3Qy6q@5JaJZm
zxYjh?1Lc>e=j{0SIPjmvix<z<l_nZzsc{dzT+9V3T#Gkw8#}_<V<Br)?|a0@JKEC#
z_SF+adVDZ>a*3V1iT)SjV8CXOzxI6514D)~x8`;t5Ohr0K#hCS-hRaq5WXm713Kq1
z&aKc{l16U=L&%UGN)0XVIaQA{j;ua$>qS*j1X+S`CSVUsM`hoH)RJX3wQ!g`tVjmX
zCJoa$S|d!&LMjC+5LxA8IN(6pT)e|cr-!ks9Xm*#IstNk7Bx}joxAYZIR-d({sF(j
z!otJ6kZlQiK@E$6gC9`YfYU53wFVT40yYY*l;M#h4*?{gxAE~QMK_CIsFyp7;5~Gn
z49v{TF2ys9ZNGnuu;6c~w{TE2GhWWUH({}<sr_Kg2}EPg0Qr?y)<>xVMsdw6djb|X
zWHFP2LLiA_aB+7BvMInpjshTEh)%!acf2w|>JR}FAX;;uF!U|)@dBt94n!lbP?!Ze
zvXM+Oa|iRZu&Bp#_iuf^j~0E_WibiED-AtBYbLXioX)FWt&VI}sIpPF04hNs6=s;v
z%*-%gL?I&a-LUY{c%wqfM?w{X`VmcwSUxnrc(v|FMy53Ry9fYAaR;9duo>MD3Jl~~
zowByxjXAhb{9TLHF*MwEGVdI$h#46P86W0m27U%yf|v9Dy?dy@HKwN{$Od~3?fDQ$
zHVEhxaBV1+0m5Ko36e^~8;lnm?GFi;;tfFmgPtz!9ptlb-aNr-z#{>LNe-7AL3P+3
zkqrqP)(AS&hrRO1(Lrel4zU%mI+h*BooZwo;`73V_B(eZQ*&l$uc2Whm;w}zq$>_@
z-T}u!8T2*RoZB#5nJ(@>sM3ke$Wg>Efd}`xA{m9K{x`ucK>GxIgV5AI-I%`=y)Mur
z0*@pp7&}u`Dp-uA>>_!S-K0-cP(-BS{rhQDWhms4(FbdlBTTage<PB#7R@K|B0HOW
zjoxU%VF=70Z?j2($8L20P*mcA$uYLOnBlluz3M0GCjI#?R|<>5tsn#_eEn%_Jf^Q-
zH6N#AF-2`h|I(B|kHP2GuZM5gXCKxqa&<^X`SHOO$hbg!6aaPTC!qI4ydyHF3@$Wb
zbR~8Z^hf9;@uDTmikV~oL(n-4as$OnMUhVdb1<61pAa3AvvKO;*LVSg3mR&nXo|g=
zM~Ko=Q&%qRXzqJMLdd`R9&l{faN{z(2fuV*SEG(T;n#iG5ryrZJu7CEYGB0v{F$Q&
z3%<_c{+&DRKY!i}3$r<PjE$3%^bB6>Q@qZ)NiW%C$wS-;07<9Ep}Pw6o-duZ7QAI`
z1J0irIyp5Z81K^>*bw{XNbXmaH7wrgr!a#!&$tDii6%cqNMLot8yS^UR5*5>X~UZe
z=?B0u<gnCP=*FUGS6vOfgVWiRN>zP1|3QA%C4{asCEq{8AB>QHAl!`MV^!7Dq3p9|
zu`j{**P0>V2$+p40%2rj^Kak2y=QhozfxHWcWw3(YE<Vx6+W^#5sJB_4GR##Y_9b`
zi#~i<t^gVlq|~n%P{&akQ`x_9NCK$`m+X-3fdvdg#KwdX3w+JO4kf%O6JO`(pRLH&
z(O3=rGt|+4P6d)#`}|N7<&A1-!mR!|Muoj@5<wwYMR2KOukZVmwtrfu;4BUS9u~jx
zNm)w3lldcQ>j<`btV5zAQogUFBW90qUOZm0!Y%i3>u)sv3>7v;AYF7$7k0+wD^@IS
z`}Xbe1I`r+;6(wWpxOr?fd&K;2CnR2Xou<zxi~osZ0ZCEEZ~iRL;`yO9cn*0-Nc5M
znQBu8Iu`8r7|;dmzR&DiFT&M<CJfO8;*yeh_Y3g00>(h2$+sbaH6n6Pwh02NCn2DD
zi{YvOE<nz}^e8AKB!d-xkn2LU20zf8l6A&$f19$k>enLST)`U$MX`RaF`DYS#pD4}
z4gbRD&r=YUpGJ!s5&|beHADqCfHw2iO<|-HjOw=M9UzG!F)(a*&-wqIS<{wYOQU(N
zXPw&<f+Hfx)robP4GaxEA_<9pexBr%f&UXhM+N}c(|RYk&<Oyat!_O@*h?{#E>6S-
zxGdU83}c8+#J~vzJFn~@Te!ybm<qWSoA!twd(B)IhBrMCB$-qBT4AFFixy!xRh=2e
z#azZ%)29c>X`#U#5Q%BXc;BMO`OG1dN>>17V|Z5HNWC$@VHqGL05kwrBFG4n@yP3g
z1O|5!Xt9AxPv7|0?;Q4dNY@>}bdgOU$blSSq9BerWZD6K#r&3zz%jJLe@LSSWCqx`
z;i(5bI#-!JfFK6VBM`rt@Ao(3+5S`OVej~x>f(9vmHv`BzUW*4Ou*g8TWpz^EYYk<
z^7So;DU~zZ5fTQ8`*HrrAHVB9n--@I-RzY!Y|`Xf!Pmcn|F>mFLqkJaJ<7HT{W7r3
zY**V%d@9^rGB&%w>&DJ)wN(oVVY_Xsz2m!Mqv`ubv=sMpdJT@w(Bkep=-Hg?Sw<*M
zXx(+xcTAeDzoI*|V_V@Og|j{J%v>@*n2PwfYBe3{NhY4%@$}^95`24ouv95%a9i-`
zKHi2!59#WG#q6d8f3>#ai_M+7M5N=ip;33!DuQKaj9jK81Alejp`)%m#Jzw^tHX?#
zG)!&<*W1}M5uK9NS||8;yorZ`Nii-O%!F(8WAi)VtqYGtW-HqW-O3KgUfuabHYl%0
zh0rjZVO-NmcwHFDFdGtM*!&}6wUP69pC+S*p3s^bLkti3)oHr=zlo3CGlToX`G0aS
z+|G<xl1XhBW5~18=P&lOQ=@pljy55#hw3X|@Go%qM+<Pl)|v5$mh1j9rL5&%4Qpeb
zI;|P?5nr0z8XH5TpSz*kBX($yvUKdOq@4OqB`XQL5jFb9o>zy6>-yFS*9g{G!Nr7;
z0lojUt2~ioRBe0Il#`(?Np_SvJ=SYx<COiPJ&M0e{>2iV!ZSo!f`7(gj@zu8HD;by
z+i&r9wI&J*s<mnMBg%wEl-0HoLk|vOnQHW#6Fh{5P`<@(;Ynh9Lon~S>NbakM`A=b
z>6#`jCgN9Di#k8cbW3PlN(7s$Yc4;r3HS6%Wk9iHCvimJLtNsx*h1pQp_uw>Zp25e
zFuFlci4$=v<R<&q&Aw-z28OJ#i&~`UI=(;mp6-m3nDvr4lRd8=C9tk3DIqL6^{TZx
zbX6Yo*TrTH=jfR8Sh#g_x`~61<j<SFv)rpy^pJhb*2v}h8Ed_&%hnP1F9xbLUwPEP
z;4xh(N6kAc&s9_}n`YyddYUJEo%PQZgon7fTixYR6UNk;{6F2RZYO`&$d+4rU@dWE
z+lPtX%+z&7U&pEy4J^L06lqBBw|Nk}?BVNPSISS@A4E~JeDtkfW{VyM-`B|B@>6xj
zeL{)wEf`n5dR^XwAb9Jmc?E=to0Dy~o}J&jw!c;XN78nEqVHB8Z?W#@V}ysaxyZio
z%hJTjQ+8X6`&vX6-`4Nkysu_)9oLRdNun%1TFUpdCfh@YfFNroelZ(S;SV{CMYeW=
zlz7h*!9T7jO@&{npiVoai<dq>|3<HHEI&kMcyFP7%qp+5zV=V`{ya09^fE|KVDrk%
zJb%F@<=n1^4%ypJFWFr1MTN%78_E!*b7*Q;=l-9%XS$CtwDou@HEbN1yqK9<$Q)ko
z%ru)nSl(2josn^)+B{mzNao?-%cIsS6as`y&4T)7{MpQyQa>5H$=h_aLMm|o{1dzN
zE0-L3SHZ66GQM>^ArmKey4^JKOJngVV!L>7@tu7H22h=Q^zerT!F!J{T1G5A`eb{%
z_KdQCZ7b_|-;dCSLas^q%1*C8MDMvm_M^ccd<hHv=(o|O8=Dwz-^(`}d$ffbHLLvJ
z(WZF>JsSIWsm0EFhn+C_*)qKRcxpyQV5tSHMS4lYV`HJE77)>1NK8K6l7~Sj6`;-D
zqA<c-nvH&#T@V{4O3_?Z{PrCQtOazIe)xbfOf?x5m+4*hbKMoidi%dNUI(+lR#;54
z$dcb+%?WT3=OAPdd=e5PA0O?9fWoyN(TOu1bHzK#P^7n^afoyz&mqB<Ip#}Ghwo}G
zjD}$A5uAt~2uuMqh8XLzH4LgsOgYWT&PG9n9L;6xwzq+V>2}YBQwr(dsQgiF<mb<T
zP9hWO%r_vN23=P=PQrqMi#RV(I9&uub?rN})$;D6r_lZZW=0q;Ne$+?r0rM?eynj$
zYY^3m`NgLI&ZDTI-t_l3hlUSl4Rp0jiavjq-nmn&aUAUi3BUt!Ml;aUYlj*KHG_zt
z;Hsl@)D)P?A;6%l>vu*U_=fr!dY$0VP~U!(47i*r&{U(qz~z3>>CDJ?oSyceAdLrP
zM;l2nf-l9@aoNwJ+ut;Qd#=G+#jEz9tG5?<E(ktEVhqyJR&17(BqJR$SJ&s(EevEM
zXBuG+$JnpWmbSLW7+?m0b4Qz@E);yYIpA<1e-1;t7ZFi_MFOGZ8g_Paq$0|cct2#7
zmvl9QCcVye5iAoa!G+lqNB|j=-D`et2$2%#oq%(=0vJUk0)ok*x5O!l$-Sl%KM1T$
z!?~4NyDSC(e^=F3Dzz93s}?6ercEzcyx0?Sg77%eDWYIJ7J!Zo<uq>JIR^*CWq_~L
zdYpxB9~GYBfdjZw-!Om==y&n8cFh`Lqi0>XI1R~*nEVdiFF;(R&mc{c)`10uo@b(3
zMHIg|p)?z(IUdnYNy)Vm2u}yCh_(tQQaQx01DJ?>leUFgtuueIGN6prcDu3Ta}wYO
zZ*JVJg?|EujdqZMrl?rg_!+%n&|~LEsC`g+ELw?YfccsNxNyOXDzhYWR#ugZIc*tM
zRn(E)p3orSpSK?^UVyrQ09~$MD1y%U?cZu#Q_SLjX>d~Vm3RaFFp|nC-^Ilklj0oC
z!yjesy^rBYZJg#vrhec#a7VT}WgQNDe0&5tavS6dOq$P03pB-QpQv)&JFNG(8siUE
zqldLgp@txOy1~o>i{aaw7j1BNvOpgr!2+dbGM;ox0cbEA2avSiJY$co={V&<qs?Z_
zlYZCEpRZMQj6V7Fg{Rq-akkvBzZ4WdrX&LMF>mGV?m2WpZ-nOnZCHN3iE+CMVz1Uv
z^jZ%QH1?xpJP)!&I2mUIpgDLk_fw+|V%~&a%W-{2Sf({su4>!1l*PLpePQNj$f>gm
z3Ky=VRBb&wr?~Nlf&fFz407cFEqR%UkleBa`tG%b`74$zd76S9M}l>ZiW#=TqtTTU
zRC|G?gOZGZl(g*q`@=e@m7)A&gyg;%h>I>cZ5pt^WM5e*J#M|0lr}TDYf%U^k!Y<8
z2g?M>2KD;&gXl613_bxFgUJ4rmDM;{j|54xT&E-uc(A<UIY5T~?dQ*Jfu%724z#%U
z0Tjcm@rDVz=>zD{4>&nJ=f~eNCY!M!`9jEH@#QY?8O;OBKlg&1nFkF(v~r-0i~^vU
zBVhK>(CH_6eD!9>U=|Slp+Q04dwLR@T=287^e!4PjU(f1dbmbiLIB%ZvXCdD#SjhZ
zG53?l*I?2w@Jexr5n!={9UO6!UC454Y61WxEGhZ?&26)F5Y++%LjXRC`^We|mX=bm
zRHN2~=z6-Z@&Pu(wmB@rPaNPGy5G9w74rq~8Z12tb?uaMO}lkLHj#Q)rkbAWm~tRT
zHVycX4aquzVqWk>Bvniv<ULHQeLu%+;x_+pvZ}Ct`!-c0#-bVdn2*(*3ak;U0$fXY
z2+xpZY>&=$m=XNjRzISqFcZs0qWddX6AlkNthQ}Vm}DZ}+eJ^lXC%@?-EMpwZ#N_2
zPTyp$CoJrm=<oPDn7!f!ougwq^cjx42wi=Wn^D6gd$V0!CJ&)_EbN(%$fnU7ocoEc
zuD8k~imrr)jzE;et7JxvFF|VslK-$OP(&T6w#QkCC)cXm^Qgp)ZpRbtUAm&W79ETV
zHhPZFgS9ePS&7y9ryq)pD!S`tF=tB>?`jfOZP&I-RPyZFn{q?Y`QhN$7R94Gh<lHc
zS6enOe8?}dR`dCci)QMJ87|^Q<kUwwy&#qFAbm!S=?IPRJPE?EXV1CW6o07$Pp^?$
zuu^W`4n`Nx$l=Rx-ZV4*x$p3aFD5g0!(_^rreJ}QABtUFM;1PO92mpwk1;jBbWeIT
zN9EiV{WCE6dL!|0+O*y0dc(?J89j#|Uc2n@^P$Yg491oH`NP#7JG4bua=fz`9!4ED
z+Ix`QtAV;rCNG|c;A+sL3MC3K9no=6EgRZ;fjAne6kFdo{F_K_4IGV%^pzlvyT&uy
zCEQ}{H;NW5-q9jLu>J1z=?`q+%H*>%W}KBZjj73<ydeBkuJlC3b7J+_x#*7?E4-pi
z+-~09#bkaaNZGdZJy)h3p(NNR!jhD1r_rpJefA)cBfK-FV%02>y3H<#dA3S&HBlB_
zV?3acBT|YH-bG(|C~m?+3(kxmciq2J)2$&^!YkzY;&?&M9qhHXzOSdGR5N!%Zl_7V
zk^IdvP9i!+USoM^qI~mhnc4CJ-|?}}HMfX6eJVq0J?}D!bsLm&3vInA#JiZ9_ww7>
zi#jK&ZD%GHIum{Q=k>0xf3u&s+Z0AWqaD58OT;N$@kQU=^HtBDDJ?kT;u_3cX}NsS
zZC7<S+u8HeAvR%s8_zH5_pW)_?YNx5<j|d#vz6Hf3<ei8a9(}ST726fWiqZ)o=E*o
z9}Y3!@nUkHzU~r*EZUxTh1_EdXTG1h!(3i2$dLD`WZ%{1jU^K`4_`^wCOqcv%^qU(
zy0s}fd{Qz#hTr7R*5yS>F55g0E*2v=VwLO<r<7z7!=qM$#iXk6V<F#6(JskkS+7?q
zN?)TgW{A7%R8qW6k{7mdF-2F(g}3VvQiG;6m+_iqnl3%Y#Q5Ng!A4UlhF-rQ&VjlQ
z*1Np&j{S5|vraf|nIEF0UlMBG&9qq_#N#&^X+|aCF5cqNq??K_cS@~NIO;ttu&z~l
zd7Jl-n6W|qd&e1e?NM^QIF>8y#dUc$uBB<e{xwrUvxT>fsrl)fo{ciNd~>$;mCgK4
zux<<*9q8Axway$oMtnZ!?#n;=<2+%z$eiubi)9<SlxLUk;)+~a)UvlJS?}y3FJ}>#
z8{4O>C|<w%o=U@-H(WRmW0FWFF}LgMq(G|Wy^q4qKGyXFe}#P>K-h}nMpX~-iE3b#
z&0RZ!QK=yoqrt4awbh(A5NFRwpZbeSfH*NRq&mgC5S37A2cp5w!Fh(A5pn7=J++W~
z@0deL!u(MVp)5i295iyXD9{Q~s%BKgJ@K6BG2eObeMLobMGT4PH)i~Rx)ye=V35R`
zngIw}03ib$33DN?$$JC*GPEfU{C`+`^LVV<wQqb~DejaCp-D-|6b&Rps4j)dlzCQE
zhDasz&}^)fDMb;PDMDs<nW9o=LK4XpnIpveUFg|+KhJ*l@BO@=pMUOs@4GJRTI*cr
zc^u#AXd=%XbvidFa-buMHiVlF@q1vQQAM_+CeLg%MlGC(s&;Z?_|5-IHJt2sF(2<p
zrUhKb0D!7y5z8l>8KkHk>R$4ELn#W769>xF@>*A6@H`{q<C~BcY1NH02%0X${9;yH
z&e_i|A(1&1jL@`<(zN%atWW&FK*83%S48;uzBZp6)<puA+KEvSe@^L(09gnCXedx;
ze&&ObSiEr0qHq%X>_^Ij`x%Ho5D3!W(eWrQ?$ntxWE3vCkp|l*QUh%epu`=$59Y)U
zdcv+Q5*vcc=L7Dx@b>NRf%m{z2<`(s45S&y`nSr+81mh9hiZn<(9qEAX-6sgam#o`
zTbt2p2p!j7_zRc7>47`#jRQXSe9uk(rjH*Ro4HVlmX{xrJmwDB7T78>=?}Gbb1hmM
zEx=x2S`0Kbd0v7af-7JHg6P245pWlwf(s6S5XK(y9O#?Kz<|2vh~EPzgBk$<IgVD~
z<&|YvbM9Rm;WY5OoRjlw%X(I3@xy<rVN(7>0AfTxWG(u(qGAo$B;<hrh_XWo0LBPK
zG8!j@lmN=c%#g;M%KtY?BWZg5K2!?$RB`k<1gV9L?Zo&=nqypg`c596#a<Ys;J&K~
z7w0;EaWT!fk7%2CD*>m$pFvVcpk};4KGy%L7>9QQ{}E!$N=WVNCZ?wDhlj&J$%_d|
zh=>6OmsX%W&v1aYq8>FhHHAd)?AbvM6E}4|y|wJ@P}lIXOYYeNDrNLXn=}dp9v*YJ
zB~@SC0+Fh!s7MTgOprCx0T}MLKvaChYLwC@pDaY%@RvMv{gH!}<~=p&FbRY+__3oI
z;8swpB;0G#BZxnF>}LBCIXO83dP%qdH1TiXOow=X!8&m8hb}Tb;!)~S&YnMiA7v5i
z&x6#MoIiE$Ts`PHJB6OrK|~z-94J!)lyeM!bah>IIq9<t0=>b(c=hIICl0B{kN8a<
z?<LJ5yT)%|U^kWv)Z>ub{Ae#Q5DAr2vICtQuz=~a!+jHvFe1R>YuBx70SSlSJv#8o
z#4WV&I#hk9E$fG7ivf%hYAVNcPO$x(+FkDJir)}D`r^F-2jJtQgy|BX5!SV_fu>lf
z`$wWMa0Pr7<}YE<Ly(6n0_~N7>igg>PEH5b%>t`^TY_mi>KV`9wXfsew(Sf8L%>Dv
z783(?2?qO&p&XU^mVSOyeR~^_FdhH_{~0NEt(J-?5BYE806<ik@BY{z_b$BbTY(6u
ztI4t&AA?=wzgunePEo0KJPW!{83af9?hk1G`fwX43j)pHn0Q51)yVL0E&>3vvVNkD
z#A`QO)`u5a?9X0;Wr$2hI_Uc$1a)iZoz}t5PBA}uvSG$T)(h`1yegnbE6mdYL8I!O
z>0ipiEN(>O+p-zuaP$+=&71f6`%<8d1FnF@kXATJ158XnI!PwO9AS0y##ZeGDj85S
z7S*TL)(u`q_~48AHyWw(4%qO({QZ7wiT7y90_>6n2~}P8X^f8`HKU*Iz1c#};{p_c
zt<MN4FgO<!y8RIE0+AR_9<=`I8IVWedh42B0fI-U<d8({VQO8_pwK8t1?t-yNBDN_
z+=)=w$ek9IFrfnDN9#44eAmVM2p_yy1~1N<f!;1X(c|MCe`$dm-Ex!^j6S!#m8Y#X
z_v3!}yIaSDa4mfCI+?F~A=!K9f^dAeXS(jH$|k7WnVZ*ryHUo<{9AOP=>MOH^?1-9
z#CrVV{#3+>S_{79oJxhCVFz<mM9NYqY|k;DwBSfey?;*BBy;G&vue5*5yo8m4{zC<
zV4BR((HF3s`QrKK#O?4YH5~<unghytP4^Z}NYZZprTQ?3uDG;WS^Qx%%}qmNn1Y(O
zA;-G1Wcl(7L|B+&(UGa&oqOv~LYhK%`pn5k`j*GJIF=kcU_>}(Z1jHLo_@`0_+rR)
zBAqcNE+e^ZLrQqcK8LNx{jShoT=lu$dTqR{OXk?m(@Cx3MB2*U<;5jxG(pKEMe&dM
z(K{`)3EMc1MT)8Kw3FHFwWY$^Ol-C=_8iwBf3fKMOu1dOH`G-(?7vI9*FUE`o$N_U
z{0!&DyaA)nCZ?zJpu$!<#lxOzuB??oLBDjv))N))oWE%%{GA*8d_YR7C4M$uu;6|D
zI>3*Cf89Mctd-5bvv=msg-6p<k_o+5gO}CnGl!E@uh_MJ=VqK8A9IM$w<eWLl|qSB
zewAC7X_*hCbcq*i54XL9c8pLw@{ToXkL_<0%dIa<Vm8D-_|+L?u=B&gs}@?<i7ZZ4
zw$BV(B9D0<IbOSrcrGTWlk&Wwh>vmH?;(R)?0fd8o7w_izJk47I|Abt?Qu7diZnSB
zKpAX5BEifT!{Pg~Pqx3FXZ!CeMfKZNnQGrTQ)Kp9<-h2Rbv&28I_iaX9bdSBY7U7j
z-+f*7$=2`Xr7Mk^62B`(Obiv%jP9z$#Lj+;${p=jRVA8MZ&$nOqQ8VV=gXuOD(DmH
zQCFq0$L#f{TSwLxfBY1|ag7waHRW#AzIwN8?@F%D3#3EjEzz1A%)5UmmH7sz*W)Xa
zUVVMs%ulq6++HrL&ZfWp&}76+v(rYia8+q3TYMocIx^|`3*ko%_oK^7_0){j6}~jR
z5My33M$?Vxp{w8KyEw?mN65-O?#3jYkg;|*tuiU#+^O0cMvA6pkDTiT9l+F1-&{Xb
zMx;D*tjstZKjbVZ+n1hbvP|0GSiGT5aEZf#dtQ6qiOXII`lwZu!8~*?`s~ECQGMnH
z&Nq*S8GoL=`$Tushbl_(ov}ErUCaz7IntdSk0%Kav7+q1idGiT2UkTn2?RfM>D*Fy
zP)E5^XJ7sg?t+#nkyKje<y*AcCxvC54?fKpdy1FefcUWS|Fch?Ke7IQ5FwqQ#o|<d
zy^-|IU7Y<-&Jk+~+fi-o#9XrT(u*r#pHrZD$7o69dnJy6NW%{#7SN3YXErEw`vs(N
zhGq__D4EH8=Hu@AN@%=cs_h48i#ilmfm`)v<u}DoNz4A1sU)3GLSlRx=?B#hS1w=P
znsMqDil8q~j9i5v_hp?wn8Gnt=K{7@(g;mJ><*~|cEtCPPc${{*|lo~C=zf*#5w?<
z@qm|hmPT>2u!!Bc7Wz$~h*Hwh(Bfla4JbeiYmGTLg^CTa*$wrq<W>mGjDQA7D@9dF
z2~4ymRM3TmGtvY3y8szND1o_3c7SIP0pVb4OS&T<La?&4o8>Xs%x#sv@MJVm%CXXs
zVTrJ7CSfN|JPZvprpy3%E`s%}qobop>K^o~KIXD8-r%gMG~d}B4Oalngx?|Y%^JY3
ziujG0L5CC+DBo~IVT0G=Afq?@%ZiZj0C|C*G6Ik=%orp-vdpsK$wd7F8G>p$8>}RL
z^H!1?MZ_MoKDT5g(9)nHs#{Yagft5?Xh=w+^YC40v-BX$@Y;Ofda{0|vcsqdqCo0W
zlWR%i{=IukO>u^Zvm?Q5sTc5iBuiTfhwrrT&C1&CB?qVH((L`zI`es;?jPc#3_}r}
zPZJ10PE-Ga(K>fum%Q!yH`=4hP4|$!^=~l!%qbMFuIlQ{M19_;fGr;T(~^=5q)*we
zG=TvBaMD-L<M7d!Zu$$|LF8F-X)GwQ|GgLqy%oAOcZ^s?7vknN9WHK-=`NTih9BH)
zN%#{%cmVYUnGb3hj`rUO%@CJjmgCFL%<P9|A|Awc;y`(i6|`3vfkj!f<M>q+TLEOR
z$Dn3tDBKdyxO6G=-TswpcXs{DEpf)!KB2NCREnN=JpP}-`&Li`^&aT1h!=Tz2#inF
zefILhhi52d%gV|CyyL17q;SSm7CgDIsOX`+pKKoPI;BFchyUy`8C|&8d5ZeqDwh72
zdj5&q_WS=6w&$jy9s$5ffv^T;{uD%Vl{5HvQsV~V9l9QH1iu4+dD~^-Nj6HZkeKtK
zYyc98sZ;Qlz}PC&9SyrE<S&Tv$lL6i;xYGt2j*R68+Vw}o1Q$W-Ba^IAGed%XNATI
zAUoV(43Ch25962k#-txm0et)Rm;8~>B2fAJl5zA<PYuE=2Af&xix=cJ0q+}1W85uR
zZW>^+s2ivQYa(h=D9rNyL&B6S2!4#AhOgv`b)BCaxAzoHwGc1X6Q8-NKKkoPyph$7
z>FCy5wjsm>G=Y^S8d~+$wETVBLLj?0(ZeVpUPfg1Ag)jfVL9lJ5OD!L6aZVOt5P37
zK8DWGY3TTvrQiB5YEy52Vj^A*tj!R|K^RK5-vH>N=LXhZzztj}J7Egj^>LAct*wmz
zWMKPOc~V>+nv8#yCqX)wzG2lWwJ%v&m^_r7E#U=#A@Ow<?iaoUVeHZyJNcyhBNQ-l
zv%gdUq+nPdWcJW?HiI0fuXg~q1VtKwlAJH{<oLgAbuyi<eFUDDwrc`(hSB=__g@b8
zsPnvG_*UcE{wQIziGmMLH2$+>i4hJJNQ~lV%U<k{(#<)?>xH7d0J1Xi5V)Q$peG@A
z+qEZ$fBa&54Pw&;EN5htR)5%kX*&O&KU#oPa)5gB`AZm20E!0y?zi~%03FCzIj-SF
zo|O89U^+@g_b>tq8k)K0ohe?B_(d>L-GR!}8mBfnl1ppt!m&~gSf{p@wHU2;nqkgx
za_yysRshFV%V7jDDeRNHleQT~H5nxjpdF~#lQRN_4^NG?nd&q&&Zx`3A~(aJKbs-D
zh#@~CIz5|;zVDt1uvh!M#8G7}$`%Y33ma;}`7u1+kl^5b{SqI8<r;M&2$OmoeH3iK
zq{YPLpDu1)0^S~c*5b1>)6Nh=O%_TRBi&Yl2XheBc1Zt5xT)0}x>*<~uiv;q2a|@n
z$}OEM6DRY~SA{cVph<BUXy=qi*Vr$|iXF^H8UDRVkK9kUQ()P&a2w?%VfiP(_A$4z
z9m|k~nfU`mL$J3m$JvT=y{QTL=Mx|<0l%Ozet6pOQ^&7_+g0793|iLB2|N>)DD+i0
zxU$iRks%F8FJQd(vaap|^vMpX>jBS!NTGvO{g}#iojAPkg+E)YQAhwjFhQd5ty{N(
zgJIumft(2Zjeg)kkRq()B6$5LC;;n*^s%Ffg02(<ZEMz<`@@@i5-|`u4~nCrN!Ks`
zQKF>T<BMaD?b@M}d!VO<2o{kq*%)?3CJbmNs~NRGx`^w?1CsqrmOH`=Fj^P{R=5}g
zyMjzm<q#yIljGgB3mZsXYim9V2(+UlScKgo^ZCrpO)8{i3-35NClnpqKwI9{(5i?B
z56I>Yy|jV8enXD3f<h^fAIgRA4gICSNxJx8KLm4@kJkYkI>y$>ISm#AFM)yyQ}gh9
z5#r=2NY)wQe=5NLO_~&bC;^h{_}&IYF~MHMq<Y}cArSGIpZh5nAa;aI*E3mb-7~UK
z@ScYu@%$}``EN@it6oRmjz6YlO@BS6VrE$`m9*>d9m)o80oKn>5=*=UPy4->mu4u=
z;psi4;@;A>NKM0%`(=$XD-q%%5mT6chZ3_!@ovKD*Mii|A~}nSiMWs4)4wBk5sn|L
zYV_Gk2{mo*XqLUu;_U3*CoGk&K^&M37JB(=fQQa2B*^$?&Q{{QQNpRNSjwKTRugK0
z)FY|8%0$_@-epE)f8(FX5?i`5onpRL*;=piIOWlPDK7qs#l&xRji#4|;syzN77kz7
z*$L(69~EC)2P<EjUQ9^R7sO~w-6JlXPgS<Qmrc2?^@E#Njb&-a=}CF!Ctrh!u<8A+
z2Mm&B7rn2awYyV)Uv1-U>6J3X>8hAfoAVdF_p5&|Bz|;dazte)@erDdE3;B+GKfc7
zky~Hx-*$*78}4}&!aX8KFdmKlW#d15oEr6JS`r$gUmBB)2MDR|=9T^Lu51wStfdfL
z`ZWjaOO~CQ=x8}$An49Db9C1_N^tEP`K=6I>McIArv_x{qF?+(eYH%u;L0Oid4+4I
zSsr^Gm)QI_d#UmEi)nl;Cx(r!pI&ZrVlB1S@ju9VSWIvqOF%*NJ|A&*`O^IZf4%%M
z_1WK5r;>4*75l?a9MzKND`(%l`{5E6u{O}iergNxB|j!hkG|%E>CE6NqR#2(#R`=r
zXB*{Rp4djbETA2z*l^uCZ1}g0rN-`q_QbnVr8L)!me<_s@nVa%yL{Ld*k7B;?A5?@
zMq&4k45Ikc%2*X@&TzAV-ROe@rH7_1BJV1WhW#Xp?|5djHhYRn(m!%-JjgvY74?xg
z_fXOGYqo-s_?tyuonIx0+mRzS4Glz)bM;MH+%<x$(NknfleXc>LBhN~rr51VZ;|(3
zPCrAEd-=u^W}~hXKTax1=VvwR5kfcXnVT>ExJk5UNpDHtIv~N&p?`Gp?2A=#L`QG*
zs%D29F^}WpvUd?2LcQk&KKn>}RgK4d$w|t4d|gpCd^I0SR7O5!`F#g{bCVY<gPUE6
ziFYBkS*=B<P7reah1}`08@rd9zRpz~<NIM-^XhJzk!oG5^SwoC8-q30-l7x_H;XMh
zN0|<8(eFw=(oNU|#BeA^)iK;Q;NrY{b289tbRVPQrlSdry$WyK^f~1@?|$K)D!P@N
ze~e%hj?vjRWhqW*UmsWa+0~X!d7dg#;N8PwKnW}Ci>Wv$EXFX{zp2J`t4t@Km-|R;
zhg{^O?p~qxK6>Zsi=h*vbdmi1lr?dNL6re-h~g&0N<l`-#Jivw|3Yh9BjW1|q4b^3
zTZ3$WMix<zAG}dT3~!66W_mS!>ei~N>LoMT*}EdO8B7yI9YhLQ&2$b|%D$%eip$Y>
z*UIE&A1+2s|20MQ1*vo2-{J_Rk%^Hxr^P8E(=PhdC$-8ZAwnv};n+$8htuxg$0Y`f
zsxQ9XblTE6Tj8bP*!IDqwyCBj4lB`kD>=DmXBdlhO(qxnRXeXN_HHh(pL(!EWwOEg
z3>$@5TcZ;^VP0_~z{TP~j4X%Rw1XvA+-^d4*=v?&@h`EC_b&D2l*joD<VhVoM7=ly
zip#C0?|KD$h47<`gNi2S?+t03IP6O7Y@SkZWMpP8_}htoE|mw40EV-aKOr4-FXl3q
zYLrlJKm^5ims9dwmqWP*3D;xt3imKN-+~`!y}d6i<(P8-jna<X-`$TBPBax(iqeHo
zN~=I^sGY3)85Yu$Cx3RffM1dknG?-^({h6G1Bw$i#?qSD!;l%7IPRfRb8jr0Pf%hb
zBjJAyTcGLl^qg(vT*e%z(z%Gd)NcVe$A3XiByswEF^CNuu3$;X^TKVY6c}J#5_GQs
zF_Gp&kg@Bi%&Zzy&p<B%>kKG*3^h{U275L9A|Qv5=7@6uz&MiYA6@?d9!nNgG<?eF
zD+}`_S(vrX(5FcgbAo_gD10StTld6jBnal9ra)tY%J?kWX)rPDcBDuhwHlb0zygp&
z@FGFF1CI~mBj}jnDA3U&l{1h_W!bj16nV~e8VLlGkR<Z20Rtf7N_)7~+q->@%$$Ex
zvlRW29Uyw;SQIEBWDWxq$}sn09<e+8q(DmdNK13r-3bfZ16vL}Joxj7FhI&BJf(#9
z&6|<v2hd}Ke1UD;8Hg#4LwwOXc%7ou$O)(b9ZFrvp)jcO;H*Ie!)VPZMEg1nEhlp}
z)Y%+S!J~Vkqq{OVc$P$`b<wcnmXeW<C4BG)Kuom9ZQ?2PF#KqQozWj+3CzMIicA_5
zQ&W?ZzDKcM04AU?K;~f^s5FF+*X8-%y7dsVhrJMTgo?W`1~<B3>HJcR_Z8yjCy=Cc
z+{{e<r#67#0IM+(@B7t|*yC0o$aLWVcGBJ1xu^r!u)-wi&P6waX<F^6M$#!S5dyKW
zD76e>IUoV<n`?G-;=(K}k6T(c!|ug>jcJ|ODjyUO9CqAUC_U5)kkZwU$Al`u1Y$P!
zKvw2Jsri+fh>^h6r2TsWH8FH@P-XOEge;j2iIzB49M$RdBYZ*{r>(36S@2Cu?|Y|!
z(n`F8wTYUQPB-1$CnCb=TF*Y}=#wvVOE{i3h0iL&jAGy|bT8a~4Wq55Ck_1vnXuXs
zg~XO-XZomDMQL4D;-_yO5aq*=@&jXeKz<3Wl1A|R{0o{mi4GGmd=d(?wtQzKJzOB0
zIIB7&BQzl#15GSyZ<De|5S)Q2uVB{O0nCCxiAlW(|B~ny=*<ML&%JWd65dHk-|_j4
zDF$T6309cE--5)x>ibO$GdK3X6^QlB?ZS#|Ee3jectj97_XS@-^n^E>Kj;BNUnHQq
z0}_Us&M3=ft#VF0URd9b`S0utpEe+*n~)O*4#&jAKw3{Aa8UFFQarwgWGO8^fsFGX
zx3L9T{Jn%+e}T3nf&1*4z0ZAwd$qN;VkdcqN{(b6A=t4i7z@eFbbu@mbw4aA>PVUo
zt(qF`9q~QE$IZQMeh-TI2$P;p3m>#RkW>;dBN{w4-8bY~ie(4Vs->;%clUKgjP<!R
ze-{L85j28UdKS_{%tEgQ6voHLM~aew!Qk7Gsj=@L{r!E#ZEx?&tMi*xgcxWe6rRDc
zCy^>cPfj-KC{EX0ffr=yQUQB%V(sLKcE6^KQ>uEC9LQU#G`{EUy;%0(O>AfQ`8PW+
zZgdT0ClklcV4I(Bl~<UZd_8{j*J%x1i-3+!8z!#ZB1g?XS$6WXd<fk{_m_d`)^wvd
z9-Xs~!c{`JnP<5k_oZ;NhkIWg=rYuLPNRgzSHvj$Q`xSErH7^EZp*k&StB!|I`*<{
zgyvmRGNwn^wyAtrRd#D%fWm&05Qax~9oxoIe%RJiJ6p!6OcARSOv)->+WF;LrK)ww
z3#PmJZCKv&EOQ6t_MPw~hn3y2&JDGWhAckciZ)WtUJ&DG?h5MRMsOtSQc`L`Pha!u
z(ypB&b=ie7qHg^nGDjG02aaf(uh*1VtX3<gY+hYjwCvG7@!oB>$DXev&gWbh4Eq+h
z=-ZC|OD;EFG30MyNm-|S=t+k2YgHo_!J%W{u89o<)Nl(744L#AuaP%wU=3Wex99!g
zfG%;C0p!x>R9MY?6A75$({N|9bd>qV|MqU1vw$&A!}Qsq;Hx8Y;YFu}j`#boq()av
zMOT<{<qsMm3*2sX<eY|f?!Ft&!6jIMy~O+$a6tpv4LAi~n`6+2K*~GF8x$hoiulQP
z{bwRP5ST&C%f<Bwn;Bdy&`IJ4UH|&+rf3=`zTbo`qh?TY?wpMI2+=AA$q#a0LjoLr
z$TTzHiI^ox&I;B)zJ)uHI{*6v-zA~%#kK@Lh+f9YqsV1I+zVDA$+coP!*0ciHytgb
ziK9Q2%2qn}(lGaC;r&1YNwQ)TBIN)>{DM+868=euW`V4px3_m@`WvC$8;$3V8EP)5
z^!So<2=qtisu4p%J&btIT?FQL7?%V1en1%u$J<?TRsu2u@=CUmK=X#eftc>Rm#lP`
zkHAGq;Vpok_kLK|i`-n5a4`XKaV^cN>T1mX&4H-{-85i7bikzLq~#mjc_=Q(Rv!B&
zKo*Sbz<&eP_j|PW7}H~uA`f>YpW-&|LL7mFgy-iCS`NVJs<Lzd^XE*kk{Z2e338wY
z(va?jggg=SK@kxUfNgLDY7NfSt2K`&!P5$w6)B(IeWV>z)EKD`_M_j_37nO%+`gDx
zMRw%aC~=tkjh@H0M}|6}9!b1|zXZs415C>30r3>hpFPVjJBc$N8j!SgMydm)J<*UC
zE=7hz5$=s>@)7Fj%JN-vPucE4(d<kf_GIjZxOyOCw;<6~R746bnIIFaYyof#8>?@&
z@{uDOkX8$WFrFwfD*#y0Em}n25U&QD2L(0m44{jA42wp}H7O5lNKR1Whf%fG-+%d-
z2cjquf(<&9cm4YNSe8il73byc1{jEBNHUuU;$@^oBE53x1KQ)hj*h4B$AY}Y56hL+
zh|4Bpkp~8fY}=#=j6FSj?p)$k&O_8u{rMVTZV$GyELvHFp*KF=<n#!@KY@WCP-tn!
zJ;_7F1*}An{vi6p8R`y{C|Q}AT6V#=Z@&i|0B{1!!TS!*hw}1r+}<e?Bm=|X<n#i@
z>87r}zP_%mIvfBvECB;7U%Qi9UkwNkMa~&JJJOAY1IBMZz8q>47gtv>?laJf<7@T7
z`W^UTz1ZoqkoO|FSG@)rOYRY*pVr~8)E~x?L5`FmGi$~<Q9NRp5LOI#8-j`U3~0oQ
z-q(Vn2AX{eSqUk4=-Qf@J;PllBqb&1@<+243J=IN=x~~%QoVsP<T+BqS|@&^@JM_K
zJ{_3sqQ90e*Gy^GA|;-nmkGRPLb8*fVYHIQ)8E(DVmJg9s|y)W%?42LpRk`RvPVzC
z8hceEVexx>qfT<PV+pt3Z>x)cBdG`5hyo+N7#9m5E|K>8O_P`!tMwYS#6ub9MIAVp
zM0UvRpbp(HTfb%v8NKmbX(`m}zW`uCxUd?YJ3JMb#D$G=M<X2DnRQ;WGWRYNGZ#Lh
za1M^e{2D=Hx!t?9dC1AVZb?V@Si2Lg1j)j|L+~RiWFF=G3PT$xhqQu0Hyz-iHKvIQ
zy@sBK!o$nU)|-eYE}DNgA22U`-R;gj5g=0BA=ySaiX)OhK^Nc{T*JwklCzEZgWRUH
zxy{uj1GShh)$*2E#?z;2X-|%$#3{PDF3Xp7<}$5t9ED;x4RZ7&2Y$04V-y8A1R+yE
z6lZ@Ac<Q9+Yqf90tFOMWFJ*X-NqRxx1XpY)8wP6BC25J&n=l~>)G&l0N9T4*N(%5w
zcnN(l$&R~b+w@Y>T=C()LaXkIVtlr*ot9uQwi~T9?Ho;sR3VSxsly22T<JCbY)iDD
z*FsHn7(##&tE>`(Jaj-jJ9aS3<N2DDeM21`RMk!R$_(`L`uO>=>a=kbeSw$q-RJop
z<*f!R4|o~`Fj|X1gS_spE;mxYMA{QaJ`19ZY(uF<0qoWt_s~P|nF@H8A%kz0C>$=a
zkg=QOtgX~yq&=$UoPa+4#=_?YWMGW~I|DJ5kKrKz@|+P6j2Z~>1BkAjLL;&$OwO|q
z!l=XR+&@GsKwhjIdk&wv<)Htbi+#EfD#5Xby##-ltc)OW!+RH0K#nDb<{NK}J-#8C
z>kjKSXe=4$;V#7Q;QKE3f_ERZf=SH<RD)~VOUUZwTR<%;A9Op|sD&gYov~%p?n9)7
zm!a&|rrF_xh+;<TsE9Rz6+(u@;FV!dg9TPI6^&MY4#N0YBw+tO3o4>zu`>41S99ms
zhx_rUw#d-b>`xwKMm$`cq=%wDDcc(HBGqzGRk<}khJbtos}g5n8}=b|n+U)M5DSY1
zxYTc7zSQEpL?akfkc|xw*9&A7zvw%<E_AYJ{BW3!{rtIcr+I}?*b3$kNeh*y$~xFp
z@x{a%EnA)^Ozvv(i`PzRfw&1*G4=8pY!>)YZsqY<ZlZsHspu;FK=4drk2s`okOQq0
zeh}F@_%an8^1AuOkG-dc@=uk;z3UIjBA5L6Ah)>szn2`i)(gaZZw(oX)ckrRH!#lP
z`Ewri@rwD%8h`YEt04dB_sv%_<i~pLb6#Iz8>3~rxbk2FZ-}RuKyv!^v-Vl^tJZH-
zm?=HGGH}B7%dg6HFEb0bc^PCMtJKJOayM47M6SZg%)&9-irc>5CECR~P{~KOs>aND
zNr2rpmfFyWWK*5>C$rdmm@{taJQWK5#O_dU7^Sg-XGn0h^HSqj?zFV8dY+q{b$I&T
z1Q0x@x_y!jP54;Wd-~IxnsWXAZTq${g|eY2P$XUMM-C&`xYDHxcFC-%ahv5Gacw%(
ztY%jgV#eP^?KqFZ&-;(Bto15i+H7%eiScO5*pDA8OdH#+*U_fe)amljA1R797CA{V
zjmh@A{`JGsd)#Jc5*Z$4&1|Zn-|J3z#%61!8I}v~;}Pz<MesioO{ZVGLxV|ZE2J<6
z-mQhp#wpLwJFaea+#oDQ)iBqImp!ms<+Opun8x~$_yc*l+|27k8H*blG|m0;lLy4?
z7q4>v^~}X=iAl*h_cb90H$>;;Ea|2xyIl<rt5C=i9<cqe*emuLvv0p|Wvp|#cIWsB
zdj;7uzHW^{->XvnjsG@3<v+siBPpb!lb;<LSJBRHJR!0Ll?~&6S`u1+gG?svX?)Op
zxi~+@ru-jk(5m&J-rn;IN1Y9drl$y*3cTs>pN|Hs!RY9{oeF$+$sClD6jV2}&@`dd
zvIjl`+5+K^_yNaDx{YBF!8)&a{rZE;X{_huR*7e1PZ;eP4o+Wu$B<|CiD`7U9KyPT
zcghm~FUr>-n(9(2RWoP4^;hfxNx#$!wGzp`+O+5EMXBZcU&2vBk^`hT6xJuw&eND0
zf#MdMOsYwd$n|z)?O{i&S`+T=y#QRD0cC}+!tfqA3*JgP#De|}hqp<YE)<WvAt*}7
zkYjFlB&CP$5JOQocPhtV>-!jjL!bkyuHLr1Y={mcBkqcdaB<1=-4(a2SzL@f&vO5@
z$I^`V!s>;&BB-^2H6gHakvArSBw)MfUG@s8i5yFTAytO2V`fhHB0g6X<{nM1hguIw
zH%lJj+#%Uo3_n0P2dO+vL0f>pH_!ULJt!;CJmJ6vlJo#|ZCctuXJ>SxA$U5D>*#+~
z5XLrLFy5ZjbQSVk^Lex=<`rl}_O)x5l2^{mi*0TRib`@gL5)7df^YyeA$Jgu7=mj2
zKr&~I(SQJDAXuh*1V|^lt`Fb$dFsEd2wMTq1QyTNwo*qPcwoCrT;hh(8HyBlRCN$(
zkd~_wZS=c9R`$40KF0~iFHm)>t3Ch~8AQ@FUIbZ^-f<}htDGKrH2JUQKQC7qVbaa%
zOGuL(tszB-acp!HP{{HQlzG4(1XB9vYbjqGivOskEXI_mRE32WKM7xN&8AH&O_9t^
z>+aMUC6HJ>#j<|ge0juup!(jfp0uJFc>6TakfFT)UYCG_v<9}#LxxL%IEd2CZ?(C~
z(;n>r6j6TCy2&g55WU2U3|CLkWVh2r(hy_2Q2XoG3Fvsp++;kG!s+2Eve-wzg31xA
z!T;vXRK;qn>2-g4M@$?+aZiEZnH$RQ&Jj#jVB*66!WS(4=zHj`7B_MY&UHgAYpkX=
z_zAi7=cEB*U7CNlYLvhjR=<6_1UREQldA1UWTN8GHr^+LfHp+^fL_D{O*7qtJ!94U
zp3%!QH1&(4<=KfFG_wIw0}l^bqP_g4_cz}8B0_PTJjifr60!&$wGco6A6=$NOK4zJ
z)Mio!I(!{M8b?gGC$QK>?F=xlb=ksqxkdYN0Z9~sDJlr=!6B>u_59f7f`YwXz;nR#
zb{arTq;@<BOBj+E@7vfxj{W?MRodq?mxLX7Q(Z8aG(D;TM}%rKMEj^nD2$els2-rm
z&Bf#%=%OlX&@OKEnhWdiK-G(>aRfxG&^!@j1pp^4l6%Oo(llcukx)pXkz{ibNFN|F
zdQ5jCgAJ7L@i8;AEga@IB@wQKQu@)*XkG_e9hWhyYx~LZ_LvD26gz_JKx2U>X<?l8
z>Oy3}pjBMmiz~&@`<Rj}JXS-@o6(EgN2PX`Je(8r_pYf|?KFAeWrqZbjEr5CBSJ3s
zj<9dsD2sxL43hV3F+`dRhJ-u>Rt`K6!H6i=F-ZsfybKo?If@buA|_L8>#@NdN?zCj
z%agH^@V;0iz!irWp8CV{#fDfmYFz!NQ1&lb=4*EjHa<tkhX|;>cZHWbT6y7J`rj*s
zi5_FRqAg8q#aCzfy!)>IEf?a$_D2h_gGjA%@k_q{nL<>&UDZtWQy~(&H-)b2v7oDX
zHnvLg*l!q#3>p=Fs$`BUaJyX+Ckpxw(NfZrW3<1z3=y{{)y$XKtX~wCt&<yE_4=4&
z{bQpY!fajx7X+rNWVRB%r}D-tjxrENhL5QY<JJOwbiZd7b0z8Mn3vlmEt`X~wiLSj
zCI8uUTYAL9BKzd{EQ^b~5|XM^DHmK1ZBE~<`i?RfA*8T=hwO@C?+81;K2KQ(79Wq=
zG&=9FAmQ}9PB}vDql#61y#7wFyxvKEqY@iS>KcPZVb6~FUR0TqqZGe67(Q$x=`~hV
z?qjp8TA$ds)!e6#=4s(eO?=7Z6<8P~9=vzaZDTc6^OQ(Kf;fCA@U39{lg&>x=w`An
zP&r>uuaRentJS!=YmA@@i-o4&%^=89!<^wr(IV4E!`@(h$2XXdSaLKl6R_A*n$W4h
zz0Tzu<T<j1s&gyrS5^Dlw{w4J`F09fY~jAiQQS+BeSD33J&DwvAN3qfQLIQlLMc|x
zy?6VKii-oiKLcTrx;kw5)+fqn+U5dXx-uz3?d0LKn{O&sdF>Q6q3!Kq@nZfGoBGIc
z6OsS$?T6x31Y@LD)@%Al{splJyHFp_P|ORlkm~%lgjnV(@A7bw{JW#XZ1{J+bGIJu
zX6Oj>R5N!6KiK5*MBcpAI_QpIsbpu$`RZK958E%?{k|+VC|H0fZQ~J`+Rh|@V(KqT
zV~0Kpmy(oiu+mz!sW0)|TTKe|&*Y3wcd6E%Cpt<pTnY+nS1G+1QRN=W><=XiwMS9u
zx!zoBiEm1uyDF>}y}$C@z<=x*rE9hFje7~g48*xecb=a+Da5ts;s-u0^0Ej4>vzA!
zVrg-yo|I;!tQHYACEB}}%|n2$`0SJscb=%-DuT{k;N8IP$Qvz(YQ48PP^Km1U0i>L
z{cIhzYf}+8%!BfC$*T16tO{TEc&S{sG-<kT?^RrGZIWa^mVcvurl!1bPp)Rk)&oZp
zpC6bh=n7NxwtE)A;UA+t(6lJt(n;BTWUP<kCNpNQcUko4H(@*CW?3UuTa~XMy_3~u
zJYS02Iysc`Xk>M7l|nv$;z0P{?w{yQt@z#RJikRQF@5P7yP1k%9yJZZx|Fc|eJ#08
zF*%8zW1G48T6J!ne{IrFnf6d@`DM1Ok2un%Q8;@^vHVKlDAQPfPBx|MtMakPmaz{R
zIX(OPYo)i3ZuT0>i(T2(zt7g`XWNZapQ6fVLJBKp_MGRiI;45(6FtF~FZx@eLn(^a
zD}R4)y^aI-H3?oV9=;!rblYQ190D_UO|Hj1o?6cF$)_}B;~F}`rMmE9%7(+uYeB+&
z?VLwL{%t>@IQ}MF{IK>(Xmo^Yrbz@5+1>~gK*ljp3~bPX8*3n;1WVC|p~WzKAp{`1
z-Q_zfk7gv~Y9!RPZWj`&YHrrM+JXur-9J`=6*NP~L)ZCn2nEa0o2>z`#(OagQ#7Fa
zf^Kw-gi}yXpp1>h=?k23T{wm%kd)#&K}}`y0~UIqwp|Ft0WHYH7Np!=gmDcJ(a<4|
z+I#W|nN*9bh9M)xq^R)HzH2iFprva<4~X)V&FjXEax~o_5*U{)1J<SzDU)-mdgI%-
z82+4ral8On0Y`zBcpIE)yPv8lzEEDc;>dxjm6M4LM^XvxH@+vyIcavolL7>nfbEI&
z*!UhA#+*^_`YDv92q?4IdC#gA^c(I^fWN=8HHe8?RH8zweWBg)KpktL7hwJ2s&{;4
z$9#RLbrfUNlJzp?vdD1B+Mj|D+`t0Rm2DHhxVQt3X#%K@7!bX&`aJMs8u@A#U_v3g
z`-!Z$@o~{F-uhyjxf6FTa6=k!O+yuf@T<(sF_ec0ZKeJ~^J~6SZ;V!h?1!Iy3At5m
zD2pkJ|BEpNGBi9so~D%)0`ncPB_zn&qZsczaR$}+w1O$>#qI!7CJZbY$gDBg!zyds
ztl+_|bA}78a>(NlX9vBG@ZHxq>kI+p)+3=j34e!!ozz?|iZ?FE#l34XhaIQ=HS~pK
zDl&M+KvL!ifWUKls2sks9Ncu8_^X#M2~d``A3qud0h7fb9^BEl_JaRPorYLg&3*Ud
z3mhU1v3oDheqQ7SnG$!k&i9Ym10)0aP<C57jNbWUM^MXY)*}WH2}|DeOzR-)LeLp6
z56{)>*HH(M@y1YKf*_>1N6L9_^a>5tF*a^Tnmwk{qB<8wHe+8O{@!X%P9yyX_(&PR
zc?h6{=cjUy__pv>%vw9<n{O><tZE~~IT9u&CiYDE?5MDjws3QkTsy+Ka9@DOGI2_c
z0(joOd-uE7ukT4YBqpB3V^>yYB*Xmx@MD4Q!W1nVWhJF%h_<kfahLp7GH==>I;odw
z6&w|1rWaiky_8wKejYth*CIJ`z&9JbGBQRG4h7TTZ_g3HspwiB8`r>G4+@iLLIa|&
zAI`7IiwA|N<JU-MCSsgWu7KK{SEI8!`jdlt0%yoMI+*zj{16CCs{dw7a`Dm@O3EJI
zty{-?Yqw(DUQ?43zAz@h=sWV>eGODZJwG3WB7p%;E<ai&)sbIK<(8BC^zkF2oye$l
zED8K+K*e%%LHhdu4<k^~MGkc@1mkH4B>|OQwdM}{QE%@=o`p*E{{E;n0L~|VxxjCS
zwJ20$069Ho0{DjJ<>mQZeZjDi7?ZBYoVr)V9XWYhT%DXC1LZ8nE2z~&J9g|C2>F$!
zukY|$ObcC^`((j|PyPt)Jt$rY;xTY9>{3fyh5G4-6Ndpz20l$szf;xC-G<p;okyur
z`=cN|2<N{C?KvU?r7wIVllFF&Jtp_NMBjOGkTVP08H|7wa1jW+N^rV?WH;Urj9>7%
zN}J9H8w!4blr09m=+iM$Ow%9nyWfOtRI2uobLVz?A>c632>QMT^2`6Z#Cnh!00^Ts
z1u-oiB!ng4v?1AnPep0^c1gz~6ddjC)!7i6xCp?tA|l4yc?1NMczjz~Zh3n@KQY*e
zFbNz2)llh@_!#o@_wFsg>p`mfm9qgCqNPLNhe9PD8x!~qS7+x0M(h@#Oc^_{PQPKs
zb08nyQU(HsOL8fa06$3p@3BQwSX)ywFDcwffDYG}z?PJ_(3UG9$p$Ga^xN@i<hV5!
z*GS3pq!<`ztrjo-iSC%q3z?;fq3Hc`_FbVzm;6B7Is{|^8P!n>+5z+`QCwZEs$~q$
zyN15Lv5^4-Hi0-E8#_1m;%Uvlc)gL3CC+u003FE@9pF(;rw$+$u}fqq_8EdCCI-#W
zNx?f<2j~N>1)dOC2IOWUB8N0Z7Ni@Bn1Fo4bs?=3)%srGt$6e&EiCW=L~(BuH1+lL
zU?9->Zix>055``NTcXejuNuxu7qj2cWVpIcrH>jyIsw(j@{KYtfFshn!7GEuNCp-V
zI0<v8J`iKPm*CaE_4LFQzD9@)+_e`S9JW=xz|-2FzYtj)hXw(SCkYVX0piuix<?j1
zJ9Z*-rL>)pm;ma;+g+EWgLkp%<;zZh1@}RNp_>D~G39$@D|h0{g?3~7ft;st-gOv=
zbp(S&lfNPWu2xkpxWEAIg?(UtgJyQJX9AYqg?0ZHj`B(tE{bwV{X5`!Wq^EhMQ+!*
zZgrwUiLLp<m28Uc=j#=dDmshed(8#XhgR++rmIX`E-MZ=+7g2i4}{X+wx3@#c&d&r
zkjaEApvhTzo!0=L<ErKq&(=kzT%j}Z_QQ2XOlF7P)H7^1%Sfp(&WqHQ*~rFR>{c|z
zZD6W-lqXk3iT<hClM82>9=tCil4o?DJZG>yNcU~E;9d!Fn@bUiK9xm>oPA5~I0Pof
z6B8are{pdu@>#^mjSF%#(+P5WXbs+6agyu?teaLEoRnZ)x>s+r*S=jMmhpzvk|Nfa
z!H_+QyvyEFcw{a4)9Y8CB2|;kN8^@L{Ljm!w$n%{-mT#eF;CNP#55QFy2%~2Rfrhu
zAE>dN{{6mx_+sW3-P{P(PsIkbZj<HXt9%A_TTPn9eAN>=Q54LwvX*GIe<++j_UsVP
z&Lj6J+Z#e}ioL2!A|CMvwaC3*)Ulqs?QsPO!Cu>vOx?Y=h@Ft$Vp&<1<4EvS8F(k}
zAv6z_cHHw!RK56GRF!xTkZ%&A_o&HwYc896XS4LU-?c+xqg<C6&VIk>>+<V|vjg?z
zn~pO~Z`sNh#RerX6J1?O&2iVN>+gQ2yIn9I8T3|VN!`!5OP@1-FjDxr(|jKoj~t}c
zn`g?RuD84~lq55=q@LkP(@2`E7o%W*iVkyUg<+w|r2H|?&umf7<%MMhf`z9Vr_VlP
znR4sDyRHAq%hKj`@-~LNv)OU^z%-K#K^8+Ne7g0;5OxcbZY*legY)PWcB7aD$r&or
z|ANU0<Qww`E6;dDdVkyGx1hCHy>6YLD}-B-kUN8W!sr5bR7N^$-(XXM`U)h7D|VtB
zLtEf)-Q8^1ST}8&6@10To!GKa7jXwETOjWi91xDyp8o#57L`FPN&f&r)5}onkXib$
zXx!qI4haj>MUZt!2;enI6kqTHo!hGlVT;&yr#8we;P>j+Ko<NB`8%R8$=q9DOyI#G
zY=eV?OnU?tlHW(58Y3VSd5;k=$b7}y4fqd#9(?nOlP8}P6?sBCLJk)Q#aM0i;PM3t
z45{qF*Q8FiIesGN5@lzPgO?zLjq@kiggbCVZd$eKJzUjeFHy&V1tEbbQ0pkd0Pngr
zo1qYKo~ORlwV-!@kD7&m;OHD2{8bxmv9l>?59|l{fx3{s14tXBT%yv;QElIvXTSs%
z9aN0nyWKj9Dff<Ko&CI@%q6Bt6kCHAiDzB4itFxc>Ig0a30P$~*kA*Iw+8bpfJt>T
zzN)G^%!49Jb4UqN!_Nz(y&$$t->WboCBA?2CK+G{BuOC3f$u;)k$4o0tw7Bylo`m@
zfv$_Xd-G<}p$jw@0BI3MsI7gasHDWabp87EDPIA|%r1Z*TJP~hi9PU(e*Bokh@H+A
zbt_rrpxm6?CJu^7%Pul3tO*GdP+QGFzJ>E67bi1js3C+LKsqF3GpN$jOVo6AU!XG}
za6Q3JwXQ(c*yp!DEpecf_&a=FUS32$S$doX;0s9~3PP%qyu4R%a6R;GKQNRT^J~bA
zjB62?P$kUAM_;UC;vQ?X1}pvM{7P<PXJy@@l0nwQrKQ(y+(^^QpqIxJ1htp!0MctJ
z1$;A^)0R;!i&38#qtv>LV-QAYoE3ruG->#?R#+>{34fGM5Xh^?P)$rcQMW_85cJx-
zWehhKCF4i#Ye@5~uOCAtC7Qp*=*SU&jP@`#jsy>h|BC$di&!avQuCS+&3ef9JTNJ*
zbEi{3QnL=Ird^%oN4PD8ME>9JmX&QUFYiGm1p*Bd=i<?8HO&3>KNS=nUa&G$l5Z+2
zb79269U(}c|F2*0^H?^<UApw-lVzf<y-6#orupGnKf=PpuV1_7?BsNsg8+0lzx>tN
z%-~K(PXvJ3$F;Go&|P}Zo(V1b+X!^}^5r}rN<=V&zC_3MRqLh-RkM2@$JeaK`_a_g
zytWu3i;d9tS<xR=Qo_Q`fj!<(1Omz_M4(MrmGN@BoS(mYn)L`?XIQd?Qt|e!(eu;l
zfhiaVL!eO<vM(7Oy#V<bxDP1bFi9&GODVWXl9_qwLWRE%#S-{iLK~5Jw{JfxRFXL_
z0{#J36OA&2p3o5N1c@3365<G+8vCvz(8j{7&iv;uqfW!gzlenE&0n*O9mUp0fWkxz
zi4?kJbBR&UWjCj(@xxu>fp>!dlY6=@{=>aHF|n~)7nC7hTF}%cKEcaW0D~g|p(^J5
zCJT~ROInuD7|(5rBB50PHB;O8fmMU!W$#5z;2MgELsqs(gofRpUz*X0N_=<Uk`sxv
zwHttz*H=L&fo0hmqr{4_o7kb3hDQzpfXB<Hi|Q4PLfBU+JO|;Sd;Mr!FzQ5?6xkhx
z?+HJ#4!YA+5(2$m4kdy*@4v?$CgNtVdc0mL5jf%Kcb+gc6HR9}iCZLZmRMn|^K-H3
zi91`;UDICBdFwj$>q)F7=*z;r{f$rND?YdFUePgdV=cFIoU06CiTwK3xjGUBdzULT
zsH~0M*!1A36j8`IsaSc+f=>SAgP{6ahTFD1Th1xvs1PUnLT3z*bA_@nQvwOEIPSa_
zISxYOp|?%k`!d=Vc7Ff5jM-s3#z$xNT8cdRl24iNaMw4tmeN}^7$I_W+i{JZgv{$Z
z>rNd$K%JJRBW$b`yKl`dn#sOvX1Rj6{d0Y!ISl+;kJ2)nJqd56kgTs=Y{bM4MPEt2
zQhNDazeKse=T)qbFS%gZx|YF^G9l}DpmkO+_fSjH$nQ}~*m@pc8wYD0;_11d%MZ_{
zb^YvSX69k_aaH|Dw?@3jyW-+$9S(Wh)X|zZLo&;Wdo?o;USw0ezEx!_Tx|1SL9kD+
z+LnIz_b0luJG7<t<Tc8s%0>?u?jqdj?AQXjzS|IM`D!>_@*tS^+FIjXxT|U;d-q=V
zp|s@d;$D-JMY12cINyZigc4l8pH&DR+eMKVabH(qbEaO};Da1HvHStGLFU(LqD$Fm
zvmA$4M1okk_tLe*?HRR7dP$0W4Kt9?{=c|7KUMFoRJ`K7be!^t%cSy@@AVbjJ$xUT
zxQ_47dR{;A%X-g4bGkLzs^L}AM>kL=GSjxEKS^I!O)E$dxExn)TVZ3tNJv)8*(AKn
za8!0#L3Br~r|E^sy1uG>Sg_%p1EnG|Q{&(#dard2H4XaVi$3U=xE&xQD`^_1e~D9C
z4+pM@dm?U2nQ%(Hz>^#?L?L!v;R)mv`@-V&mp%WY-d~wSj9l=OFW=Oj_?=WB2)DSe
zbf-THyhUQg;^M_=MKLM+%4orXvx|xJScwm*6Dx^{!r;`6N)^VvOcS<ST!~X6%7-Fi
zuRZUnKG?2vt7}Tnm=NyPQD~T}d|J<smx!>OVNNlqXI`3fN!Dvi`ElycS?yM0`<WMU
z6&^#+A{3k0A{jcQ4MZGdM+69S<vg9w9V;G<1TnS+<$>>3yPqC=ZT0MnC!U?naRI)0
z2I7Ge4RTA1Z+Ac8p4zi{eR1KhnnOu6r&WdbTPejH%Wir1g>MpJUwOdIbWvE#aK55<
z^)&aBo0gkd99hzdy7SvThn8Pz8;NPNO?>zl*N_iZU*xZ?b;jvim3t%VPqbX&__=l{
z_`-AHoI3jAfg84=x@X2ZoQNgt8U*B}bWJ<+?zs?x`@R_XT@9_@EF&F58U67i)p(m^
z|57jgn>DR+39gHauix*d{yb?T=q2|!Mj(C#Ia-(PKWZ!M|53ON?Qz7Zj(roT4N_q^
zvi5>ZfvN%<3^^?B%$eT}26pblueXxSjK|?$_y>88L$`LiJ~0@j%bZ3N{&&yMt4OsQ
z+8Q)RfZu?z)I-`2I#lcUUEd=nh~`8j2>UJ&j`zP-Vy{NEM~Xtwp}`gn{16BY_$*Rp
zho%s)AB%w{(lR%iLkHT2@$D|y<uI^tEy!?O{o(J(=F#Q5OA=BA+y8LIF@4M|AB09!
zi{=d$%5@MX%FVj{u$o4w4C*BOfP+dwus2XI-rblgvR?WkViMzB%ut*mZ3{8rHQ9D1
zKy1cjaR=fRoRE<@8#gnE=<o>$a{5|xc5UB&7BMw!cF|*_^*AKw92m(@)c7%(0m-hN
zz%0gwOXhy?>mV!x18j|Q8Ak{|%bkm^s(xJcFd+ce0fc1;sS=ncRGWfBftRQ;=l?YA
z2%#q+h(TKltAYh&dB6uSre%}o^p0J-YQbAWj}Ma6BTyTaCvM>+%<B}`C6{wb)xCY2
z0tf?aC!(Ox^b4HX1LHl47u-{@YWdr<a1VT9olsUG!@ieBb3wBX84n<U-TeF&rKPbI
z`*r;IT8^5u{g;*GHn?R7>h&{`YhS++AS79CF>G?{0Ca0+78n$C0iS`#2CWN<M$ezk
zr%HQbOWSL?6`|2)nmb;B|DHI3Lk)Fhk{UnErW06LOh}qFJiz)vZq+;)ER_IV6Pgy>
zYE97%GEQglwaMdKS9cGVCGID83I?;Rf5slM`%L)6lFWa=y^*ei0hl)l%vA;vxs9nz
zrVt&88eT?zD+E$>BoGZC1Ivs8fyHy{#&=a!-%*7kUbXjQb{ZyDD1@Jua1Ta11N(@6
zlp3kzL+Z`@r@Ki>dg(^U^k1QOv961cDjdVm<mCW6-KQ=h{0j|$-}Cz81C|^yYG5qu
zRX=@lA8$hmj`<-g*Y93li~`V4v;&8^43bs%?lsmt9J6cUA}`r?DFF--Om|}gYr7>i
zNY-=44SLkcCs1Z$jnjPt?+VVcUT5I)3q^y1lK1bQ0=YQ;TkjzB$x5oK3{PRkezsc2
zf&7aE-bFM8X{M~(o}}6SGf3UIJrwLMDOLcc+6WD`w)t491}IOcJI=Jec&3=cPOeJv
zHINvCX(llELa)!v0o5yhAWY1A=ku+8!9|fcG(61W10EtF6jCzDty>wq_O$)J10e&4
zJQ!u*acbtrpx6SqL;+1N%4QS2&$3o02UQZ@MTm*9<`Z&~Al~pTLH~m)_-iE=rSOTX
z7V1B_#E(JwG1KGEVs~6;U95&A?w9>tnW0l$+%97aoun1ibkvt+Wd{pngoT&OW3MSF
zC{RE|t_t>t?wcN;UoIgMH`k$T%s%~Lzg8UgQ8E5Alb1CTHtcn|06ZBw<$fA1G3p^U
z9U!lq^5|Gdd&$n5#sb)E^m1924mqysmvNu0`}AoRrh8~0fRNP#q7`CcVYUod=+R;!
zr)>3mhqnc~OxpdD+A3^bnD7X^7jpoQL-2=269J{C-#>!W+xHeJp#|zU$L~M8%<l;a
zA#^AWN5$T6cQ=DS7&48spqIrg?|e-qG4qWpbfz6Cq6W=Z+@i2ikb^j%XJ<F2-oSN3
z<Y@CT3nKE<fc^mQC73EwW5nk>fy5xZ-H4PTCXgObSCx^TUXoz>Uy$~()(TE}W#vjV
zAP4~PH7PYR2I|a>@B!W9OSGKNolD0R;ePFhtq2SZg^bwveSC_gw5-gR#M+mYr%<~Y
zHOS@wqHk7tv|kqy&BTK)_cP=|cm(Lpu^lBU%1|};<u4=kpX&AY7+C)7=g8>j2I-5*
zlYI6e>x-e59vK<I1Ne<@umJ2o8d=o%5qs>9BZ`_le;|xa)DlXeQ)?42`fWB$BdL`A
zW3}$v!h;UJ8ogF6J0-kj%L%x$(0SFivekL`nsnZ(#-y5!m<AaG3-~i^k)nNi8RwQH
zApY;*gOj4d!v21K%T}&LHa3$NUR%78dVY!kJ&_+scCHYgT)lCl2v?(jVLvt4d*M+-
zLQ+;;jhQ#q@7~$sl~J(G#diM>Kpj!hgx9lYLkMWbN`i)Z06Q&?Q@{)dzOT{LG2|#J
zb?4nJ5csv1t_gh*KnRKZw+jDg0s8y<A$>3mymS?Kum|$}6d12yY9<|>P|X>I%fd6O
zT@V_BvkAg@4L|qwY;5(Ak^oA_(n305G#cve{!8A1oSyqhE1@PEjM!5X6Ee_@)zl0Z
zU!p5b+lmocI<fHUY}OtSgli8<d<Ih5QlI0pE&d>)(ziXkoM@<Z%#W|M;OrzoU-XC!
zPth4+99R0A(uM|Y9>Mejl?vD+F!*B{^BYSo2D^vxz)2#>W4h_pt1mcf3=3F)A6RIN
zM>gXB$A~IyU*&amV#302FhtmiQ%FdtUa1#BU#ru&7=hN{Ydyb7b%=Y8?-R<Ns2I;4
zuP-KG{P|k#!+!<%-!49DZ_n(*;;4uvH@w!q-o4b4IVKkjhMyBu8W@ne-MnHI0WlP&
z0(HAL$fMDA>U@-tAh2n*>S*;Jchh0a5JpRC{{{Ak4><6Y4Ij|GZ)~({db$~d0k5#A
zS|n}EMQU7v!*+xtcKQxsM-A2e3{r}KG7O`GGHs(%{cAZQU{auJ`@fJdMh0eui0)H)
zv7w(o*^7>01ghdaNBL`~nazDbS^@RQvaIE^AIQZAp&bkrx`SO03HEv>CbM8FA(2TP
zJ;lTlcyZz2H$!2B2|yqiL#n#*cV@|C7fp<oUknK$67G!Ml4!Pryt1+deV7%tq66Df
zsf564Ms*RIW{i(oYHw&Ly1rYtR+5n!Gbjpzn?{5%J^nZbu@I=ZNB};k1$h1-y7BGX
zx9{<ob^@|3IDCqeJ5hK6#ZUZi-M4~aN$NhxkQJg!KGyjl*pMV3ba(`r%W(ez*J+y{
zgSp^EWIpMlv$=dug*1Aq$FAy`#oHp3PRqW0tS#Ris0Ki)ZQn)Shg{reWol!yVfE_8
zFi|=}GTj{zhl-38=iri@hhrdnhG@{)l`Fb(-eVJ}@^8BO@t1tKfwu1-QM};R@ez8U
zH6O@9A+QM8^1ni-{WrEG0@|RM!nr}&KrIMO@Q{knvCIZW@y>sIzM51y;n6BI{QdX7
z`b4lDV4)VB1#bofqDJL7(4r8F>ipZd=&u6<17E+=o8qLyO6z7y0M7(B(Op9kIrmAi
z#zATt=cX-lbIn{~{{XNAr^gagWN$#%CO9<SgMyk?y*;$5o2-3-S3)X}OTa9udR!Pb
zb`(Fbr3wTqgQLVt&feRF8c%yKvyov8QwORQ{6}shTt0TT1lq@zmUj@@p-9<-Di6ij
z_VZtlATz3HcE%NyF+^$vKmk((LdjB{@1wZs2eu2#Z3m9Py@+?gHch{L%^+S<R7BwH
zLBO^HsKZ;0I(JpD-)#TmeAhH`A~p_LYXq5MVIk(_L#K=zq+}kjaKM>EzNV;#ru(x$
zm6#ZK|EUuc$H5yTU_v(rmJw21#gYX2CJhgm#`_<6mzvk0b3I6%=ryb@omkR?%RR2R
zUe3eK(6AN22oz@`B3n2>s3Wt}M{ZU`hczWGZ3#dr^5!uxkaOj+%ZQOb&z&;C-jgpO
zgyjmAnN6<25U+ZG3HlA=2I(wz9yZ^$QLPd3H7q1-W~5B-IFrdxk^ibd_CJQFDkO$J
zj*iAXUC^K|TjmG*ksXRQd^<a=af<*_hd|13vG8zkZHFoJ+&Nlp969a>abm}Ojv6z8
z@B<Zv`EDNYBcYIg=I7^!TZ(*mIFmqB;s@ziK0a$@-Ci8wb1jGpL9G5iK|-0|V{k&E
zVB9GthVEf>Xh;cTwCmRR#2@*?EQKN6KUg{CKIqsq{mexFU<`D4+{TX$h1OFe^h{|<
zoXJ(%=6wg`lUL~p2@X8658=jwGX&{^8kZ#<bvNU5+Krw@MoR$~M>euA2mfZL+D
zG2S4=Tp;!z2?Wx?r{^rX=}wzsQtMwq0m_9}y8HHeQo=qQaG@PMXY5W~Icdn!%sXq#
z&|w+1-#l)nXR+7QB{iJlo&~h!9m>fUtONYt$Pjip$_7&scQ<<Fm_B6ovfW0DcVrPO
z%&hn!yOGY+%C1+B>nptyA*Cu%JL*`SME9uYc^<DVXY2Txz^3#sqGRVcPFWMr>@C)H
zk_dtJ>`z7WL!O$f#ZUF(>c79p(_;0pZe;aasp*!?`FAS8H?7kmmvKm(?yQ7fZcT65
zmF2{#S$~e^-Nu=eR=2FXz#15y?yWd#K6SLnI7Dyt4qL@tgizt^G54EglWTc@O1c$G
z6ZE^2QgW&zLOUtb7rC{~t6sP&^gwDaV*M?xfpl^<B_3(wk7XRD6gM5I{3_#mHtE@~
z^GsB6*24n#LzxKen;N^vC<K4x-ga%CBM-Ga?l2K9lNt?gzIyH@o<3#pdK1&rBD>}M
zniT=agP4z~$dl-!uWOIWJj13Y{Z-+Y!OfM_tntPjguauqYBzIvoNr2ikK**6F?S{k
z|J}k+mINQdoR6>iXxFc{_#-YqMO?!e3GJFgH<Bkaq<^mqpHAE6HElTdHC^hVwKuiT
zw^MA>QsQOmUi$Z?N5|R)7JE%^<!x-Jr6aD5<|N)Wps2~a*fRy)qn%mipGdj=J+p3u
zyk%hMxAI42+&fGsgE_QshS~A66doI?k}a|B`esVsVZT4?x>SVwdhe3ZO=5LwDTc0N
zTH&)6>jPI|B9hNvcc3~H`8|GM#LUn<ed_DsO-DDWx+fdAV?ASFuxrW&=I@s|3g7y`
z1M_lT%8ZKVe;PFcRWQ0dcrQuCVi!a^3{o8teMJ|KZcP&)H%l-MI9mrgI=Dis&e+(X
za>s)I^5u((<7p~2ZSBMPGysJzWB{YM<>7%J>kEkC$lYi3VM{!)e}A}`<#6r+p(K>C
zWUMxg7nnb6gZRPDjtuKFu%DUe*x<uB7gWyVP;Igg#<_sRAb9prQ)B}iLA$&OlR;m-
zI)Oic?#rdkEJVrBaDx{xUQ8Xsgzx5$AEC)W@!D6u$rCjNX5pm488bCtox4N;i2-H*
zL|X-(@1vt%t_$5WP<V_bxdX8moUhmgNxa@cLH8oI;gx^=^{wgIV;8bw$Bxp59U2m3
zQeJlOU|}kHcw<pxy4l&jHdpy~j<a%uJz7Q)7c`Z7Zhtwu?An@p6_%CGA(FrQHa6ro
z2fPi#wkYlPdhhNVt*qz6PimamExGBOZtuwz0*5ciem86!xHTSU9a^asWZ(U3;>!51
z-!pExD+(qb04YE^BPVAB5{(?Og%Su}gbg!t%$H_?n^zz0XokBEN@X$FjB608g)`y8
z7B8PmvIrN3bqdG=h4k@5WuB-HKP4I47c~Xr=hUxXxMyTi-kv?^{lB1XzqKwSI+}aW
z9w+n*aEAg-0*`{e6G?-}G}FrrQI%0hfr&_g8&1w=Qpn(4yYQRR(TMwzt}H|AE7%(m
z66cEc7W5gkOITK*atwfIz>#6KTSZx!_Th0k78hU+G$Qy$NCLpg0pT<Wg#m-Qt~$hz
z-^XocYim4fj4-dI^XY6)ND1=Jd&|i%FYAVR%;GWHbM%m)4Y0V77Kus*vwg5+kaUq{
z^##2-T*qZ4CD`=AV||593!e<_#x#U-IPxw60)Y2ROIv%lx$mKb`1rq=n3j-u4Z<I<
zPF?m^e6?dPaKx(e4c-v6>#Y#}oIC?w6oeWy8DQpYt*pp^DJb#CKxLFkz?$H3)i{%n
zAn}O_CrlqfZwsCU<J>>sdJx_Otu$Ib1WTizZ32>Z;E7WZ3}1MS2qzqS56>Q2#cU}{
zKj+RkioC|PnkxI!PNH0_S5fxFlyhhrw-F$?z<M!X!|B)=;)I%moMV}}4^&RimoIdt
zxZkQWrH>y-JF1lYLP-TGN8?kNcl^>5bMsf~N_=WtN_|G_E6jH?JL&9#1CIa+28fb_
z7gxnEB0^6l>orLE-ME3d%p9V!L#s2D6%_}ObtfQzaJr^U>rezj*5V^Aznq_6aPZ_9
z638e>(?e4FDH|KZjC?!^?m&!8WkC_Z;S+x2la__Kxy;aNap<xj--(ThfrAJ8Q~bkl
zB!VqmTM!wve*YEp^>xYOJ9j2#hNjEN$(is3ZOxUIluWp%awu*xEp+T*bT}{|XmP;5
zeSH6ZyRdLFSV*g{AkUb$FFZDADPc=ibMSQ)hrK&KQ)l14ON#s}BZa>7qo6xf+Lf6&
zyE+kcF19z6J*jbV97yxVI-IOlq}FK;ts~93(NAoE+;Q(PuecqaiS?W^Moge7qrQZc
zlqV=ItuepSs9;hxDkwO(8`M4r2XetsRO~_-Ssotf9iMP~{+^q=!!`(di@pPiFTgy)
znN~BFf*!XH!FVWQVF(T{-ni8gw?ATUI*}4JbL=lX;P&=*2s#l)kD_x8N~aS?4^iu`
zE-cN<7?y-=3<-$g2xOe0R(92_LT7EY@*L`*@IAJ2E~BT1{*oft+1ZajC-K?#g1m+(
z#9><%Y%$s!N1$oij{OgFVCN&YkA!WHGB!9&9X-CF01e-^c{2>aEb>?($VWxI3@X8F
z+z4`d0k#PMZO(P#UHE)(;b6mOPd#*pVn<zHe;rJ}um)gTK|chTH(~b-UOXgZqalZF
zDF$FAmMxfd0Cl3sZ-h1pZw3l%<8<@aC^H}0_@bqOUn@e^eO)mGa4p$(p1_I2tr0qM
z#p;bJb+prT?&iicpTzXn_(YW3U`ri(Yr55$^s{Vo;HJT*4T$kbW-Es9fMNxJpuJ5@
zLgJRMZ#c#{VKYI<0kEE|a5~!mq3pfmvF!i%@e`FwDI}#(S7l_Covboa5)!g2l&wWs
z(cLl<%19E4Y_hUPX^0RRQ7DofW$*8Cy4>H-_<bIq$M1Xn@qTpo&gHt!^L#zW@jRZ#
z(c3HgX9Er}*`xJ>u`APOG>82%D~Ol)x8OnGzDu=vVtEQ@9Vo%r+mn_K=#fc0bSl|V
zocrj*PiS7DKKWS2Sp)?)c!bDfCeUv2^;N4P356uai6;Y4BV<Iwp+N`04X_`yf{@4j
zHj6$->Am*xKVDv(x2O)UDvuULzdy5E#N#)~^<|7d!ipV)^}soJrg7TbeCLy^=%=zf
z)FG?B_!1+iD)o4F*ACA<IareAy1}zTaTVojp}HCoI3&TQuRPmLm`B9!&$u}u$EYxV
zC!+kGwf*W-L3W~6$#rK4pMr_lfvMGh7VeC<5CH<LcP3PqZ!5TV+`RSi7_m*)Ffqi2
z&g-!muSJ9r%?7=PUXQQ6QzrJj+|WEp%SHr_2&?+}G7z?^0rubis`zp#otdqmA&Tz?
z{2t4Q?@uFq>|(>;^l^NpQ)nEr2o(HuamA@1X9M=k4k^!dV>RB7lj~U(e$Jjr(ADEo
zNJ!5Ps;pk-`L`~S<D%gaslsJZxvz~{e1c4AY&o>GvOi1_TLofG+{3$2K7T!&s4lmR
zV9Y=MQjdvv%e9xnw)qPb%#|9f*J3JX@b!ps6%XBu%5OpqeOnH%QX)2q^XOHu#_;7V
zS9lXXL2TP$+G0K<MwDKTA5$+MA|6L@4w+<sE%s0G=zO68tHZ1E+U9SKysvP&oUEP=
zv!|pxT@oYq8}<fgj;SYvPKY>H1>SMaVfFTCzDc`@efGF}qqg&CbWlaPwxDngAM>h+
zv-zH*_g4^VEU*YlX*t=S(iBr0ohB#dV!xf(q+4<zaGR+3vM64Gzzm6BrKa*CR__v>
zEp#1iRn1E|2%p59pO07FCNxLyoN&)xuP|9zmthgMmk8KdWVD0ZlJ1Kx_h9;z+%)k{
zIB!=*!7uary^=)K#X~Vc%wJ=Z*Y7{@p<dImpkm0J_ETNMyRs|+Kb_22ZwTn!jkyxw
z_G<r_eqATKJ^SiYgEe$Y<DsUVGy*P3q2;M9mw*5G#k%g?CE}#vVXl~@?or~?!G+u9
zZTtf(N<XaZ6PJ`+@0~ml{V2Oa^5EYh8RA!hyiP;b?TW9uh2a#sN+sPw{X(|jXwElZ
zS#*Xzd8iNZWh~?jzTPoY|2ETupYY9(3}_q)mh~Lgh;3kWm5*yQNw8XXBC{hdYL-bU
zRf6{WT$_4egk-$2yDsyTw}fY2`{DMxc3)M!Z=7z@GV4B6yzt4@XzEt>f;HO-_Y-od
zL-N;FdFI{AvNc~gsblu^x!#lHwZ!*EmXDK>yblu1`&ce}&;};ONLr-`=N0kC^ydU~
z33uoe^+j?hIaM6$j+|yj`K<hU$6^XbdSdrnJc@`-fh(x-W|RU3#BtsYm_f12E@!G`
zSURllK#9R3T?Ec1A~E<ouwY0@PDa^;+{D4j32VH0$>blXiNQd?Ngo>?2Ev3jGLf)>
z*S8L}U4-c!k|qbJ8vr38Jpj4~UL@){nBDZctjuPx4#8gE7<R^6a`$Y<qSl^0<irE?
zP-$st{4XF2gZ#@@0I)lMZ>B`Q`#VcriTCP*+4<B5o=EUkxRFk?F#{rB($eH?3yMdm
z%EQ4+`fR9zK|z7jSpGtE9mYY=HPWt$wk-CzHvx+J0{}*GfzOmZu0xhzYmGK}q69_O
z*uH-ztw8?Q&z~S~qOcml0tEIQhcJ8Kx^k2feVdxzV-nyZf`a%GP&NYf5|%GXsS$8S
zA*lrZ8>k;B4WSN(vDSVlgvGI!@?%M@ATJL#i->de&0pTVI}4}<ZgDRmL!6O;6p@cr
zQ7~Z1F%;Q0fDn%YG;t72IWSeMIr=~zUCY2gw+E?ag^&OQ0k9Mgpa{R7ya#{&SV8ar
z?+0`v2PHFLOjL!&MJ^4mUOlZ|yOUyVM6Gni8Xy|JBl-#kg}_2!zZTy}uCTVZ%gf1K
z18EyY+0{h;y<%eDKna5q^-3Gmnnvdy%OKYw(dqC*D>wpwg{A_i7ix%9aKk`v=C>)p
z=5xO$S%OtZ(0#%v3ayXi`O_rbYEtx-Bt$>nZE^5Ah`I{+2XX~4kAkSEQ%GE-Ii5Tt
zlh(7PeO~rnV5ayvK~fz&66*>Eqp5HY42QuD?$%&}kcyt(6_ot`j+zD<8flFef$3tt
z;5`bNmVVKC+;NmcME$I9DT}}Wi1%z9rmln8);gF1);2b-7)FCt@1cMP>-Cb;cZx}o
z!A=nM1wtzuB%g>`9nWU=@bJJ6_&q(yzBodFgprXEev)9Vp~g62GH+~PkbiB?1%NyF
z?hyDviO#w2VobVZtTb+WAh6~%jTumb$Z|$pa%7cPiGU?k-mG*MbnqY;azCI!X{}s_
zT~wEU?~BHP1FxVHL>mRL5!yXg<(g27M%jxFw#0S99;cM55sqgbc9eLL?JO-VAn^cL
z@<c{*v9fjz4&n*;t<rL@h3x;xatuc|^MZ>@ey+_N;4P5&+2vdz_)KiTe4%jjHO$0w
zV;8WxvqcVK37ym`FUA>9-wp~2nwr~pA3S*iY%c8zCO;T501i!0Pshn7ut13!-#*Z`
z(Ho#vLlKN&IDUOgb2FL|6bAdjHqeq#(!r80Dilx-ae>#I!WahIwT|NuCg<blSG4P{
zkq-l^n{C_7TpGlujgboe1-dGT?@dB}wh&5gqzwwGfTR-U>(!G!%<Y75ru2ws?_RB)
z@C^MDZ~?|dq;wue9YC|RGJrz@mP8RsE~3M62iLLU&~r3c%`GiB9+Hr>0dNPCpS58I
zRv6@=_|p=^ydCmouh0keeKvk9?_g)wdh$TFxAzD1NTl8dMCD3Gs&RHk?qww6#Nir1
zCQbL*Q4q*;uPy^=)k}56oLoH!3)4@@z91eG7uO_R4>%$9F4g-7g*6bm2F|OH0pD)V
zApCoJUd+<U3VRf0pow)@Um8O>h8F=gUvH0C%TqqMa^YJ*xhKZJ`M`k#&{LH9j(Txo
zsmZ7ZO(9clEe8CF&2_l=7`+&r#&J@PZZvC&9!DMNm)$}Vf*}gb&CM+%GYb$I1IF17
zU*UWVq*HI|X>7fAs53%dm{d@~!;SF_If($cI*AXia_EpSEKM=T;&K~)g|Qbz)VExa
zrbN5^`<!4lA;gReyLK~d<DdV!Zm+1Q7#Kgsd|3-_RrLYRI=JFkqR2y(0Nzf94QQ00
zzyu3a3h@M<P2wD2?1F!}s<fdY`}&o?+N6*P&N4iKz=ObtC!24CFr*%gM={r54z0aF
z%s#~%FDogHy{8`F5wDRiG)Az$JexwQeIFs!zAw~AI;B3>eX3b+^VDBMDAWV2%Zqt9
zG_&#xQ~r-a&~u~VwyZB3T73(u;;aP8QLW%lJCVczg_5WPHwdUCO!W@ZP@)f=rWWYV
z<orImA4>o*qI=f_E2;~Zih)EVS-k{DfD{kFB*q~*Vdz`lgU658l(x1OHLi%30m{!L
zOaV=rhuRQ7A|<^mD;Y}Baf2H2H#zk4BtQh3_&k4O43tlv+~f)EEi~5>jfE9zbexW!
z#`-3at^=?+Lr+US{OrA0JYew#Z$lz|Cb}I3Jep<#VQM5EoZjt}a))nUoA?}7566EU
zh$NS+u3tZZj-LI32_<@ZsoMxdAVF?gMN*T|o%u^YD~OKn7&6v#S4M_1coH7I-=bo}
zg(z3xGyZ)-)sYT}SZ1>G#(P9XLFl=2vW=t|q)5Q=Y=eulvv`Mgzn52^cjW%X)43bE
zPIz!gwHx$qs3XV-j7AsMMBpK@v9dz@47xw&$dJ+Lf7||Qe87_tq!9-XxR<JL-o7RM
zh_jG(@yaN|iVC(wP>%q`!eQkLt;8Y>39Mlj0OA6Hk54im93i2fi(EnjDeniBU48{G
z5SPFW&d$iVh~W$(H*%L9z6C^mFw1xWEpOa2H^_I6wTmh#`7PBy&!PM^(;F8_Y9a#C
zK}13z@48g0vrk(38nnaxToawu@n%@1<4R)15Z^eAY>skY71RMaP*yeijM)Za-E4dw
zdNOY2vF7;q#$OP90U#{EObnj4kn;zk)s@H*j=>>P8k(ZUeK59uwp3rd0)`YKWIPQx
z271{TLjFWs2~AO4G?YgeSt8DI?mhDc^xv$kCj|^Vc*CumH<LP5ZTXJ;yLQD!MU}pJ
z6N7#gnjT>=#()gkGwG1fP`n+{gK?Pr{2%|gbO{fS1yJa1zvb@Ty?eKu+&o%&?2I82
zpaj8(dU@kU+2@BrUh&74iiam)(0~nq*IdCeR3FQiHyA)KH2T-}Zb;7g>&)|#-T9aF
zPISIpNo)jwKPc->=XiX(wF(3L8AP5ZQ9GDwKaYHy6AW4E^{lDk1kX(jjk$HTe_~PD
z*yDG`*Q1N{2fJ8Hh}@uGLK&^eorGoAPA}WMFkfr42>K61K-h`krsae&9iQRD8BN`K
zT3%sy%Oiq=cQ&4%kR!r$8vfe0&?@{gPLTK^L~J^u_~D};4R2jc#IxMUwF>=Ri8eXA
z`3c^R`GAZNZXE`Gnr)e4AsM%yCnhD@g5G?~RoFYZKs~FEGEy->JdBwY$VfUvPjgai
z_;&fcmdqy4q7NJmf+7_%#_sE|5wAJxtlqNPOq=kj7Yh`0w%SC@(Mu{zXxGpwjPx(C
zHqYL3is@wjmkVG<^Uz%Buww8=8c*-oAi;9o2!lYJ#LoJ3N<r4dKH^gYTeCx|i`Sd*
zckOhZM)?_vjfp#mpbe_eep(QoH?kB1M&${S_gA8HRsI+g8!hUd85PNga1Z{rW;oSQ
z>Py*gafiXPK8v2RB`=wo@VOXk68VU3vSdO=xv_<pqqL%RGo|2c4=eGus=zzB*ol)E
znuxLBI@!Cjbof<vqH*9#g~m1=cIR3};n(OHl@7-3Ec!)z&B%&BV}*38wM5?EkB5%$
z&RI_!jdf+@pZ}<7H{QgMmQ3q;Q0(?-Mm@Wc_^l8L;w_!kr41fC=>nP`%8SJo_7&}D
zqS+>Tzs<&Hz>UZ?9eaA(Dp@-1W8S?>+^pWFG@iwQS;o2?H046Fqe@(1Y7K|3AKgM!
z_{1h(<?;^Qm1r`e(`*#3r~LZpP@q5C3e7)dB{4x?_T6?luAAz2r!CJVzC{$?x(2kG
zZ`8V-DiYg<>Nu;*wFh;=0)^M+eRmb--<+}M=*~BlR-^PDJ_9w8ewv>dN{b(w6KPH%
zPXuC<cA5OpSr^1Sl#rNX7kf}6+u=g&Dnc<VYx{(n3$dpuSWc&c)rGj*6;Us&5SXoa
zBy7JzmwRnf8I$L&ywT&%1@0RN<>JwQLc=8J&o8gbeD*6%mT}v~KR52&mPmAA`t|%^
zm)hw!Ghvi;YZG~*wM!=_MI@Wn)7DDwYFhSj4%>nFd&D?b;d6tY=8|AlB@PYEk}!fI
zA8;+BjXyRr_iEYv2*1^{`Tc2Y2%n^vlo?J>of21{ZzXqFqpj0uEuVi@t}@c!<xM%A
zdWmJS-}i8yR(Plj?H8t9b1ybJ8y#$TztS@`B8A4SgU4^YFS=ej=XYAwXvx~|gXeqO
zjAip%h=;YAeP0KQN8JOPF0S;HuS-@QFLR6|K1TAn^Dw^LM-!}JHYVIzVsh|Z2oYd1
zR@C@<)uhc=20>Tvo2Of>h+DdKO%+|{`-$3|7>$xVyB#!F>9aRBdr2-3+cE<h6TT_e
zy<72(#&cu!aXHado)da?eigB74?k!nyzEOlvPR@%L5i5!P!gPu$KH8-X$+sE8IT*6
z4|H@Ap$oX${nRw8&n=vV>{1UcLbZq;{~04HU8>|U8m{aEq@dOygpH{9bK5;ptGPqd
z7V{G7iYWppv|WHUgG_d<?<*8avwxWVBtubrKG=Ll`Iir8?}QH|T2b_sU>B0KG0^xU
z8(J`#IJp!Ep={Z2WNcGXl8~BepVH+BD^EsGG&NJx)A<DjFjC;&wF@X5371YyO<`ON
zJ?E=k!Fo^JYEdvwZlc=8yadH-6g}pJ_gi6eT2iur5?hCXgx3&6VR8Yx_d<-IG2Qap
z&xduC_cn{)Jw6`*rk-!xE!0X-2VyP-&kjjzVcZd{tWVVUt~CSCjLjR-_gn!pC7Nw5
z6;E?nvox2Ox79nSG#X8<Y?Q{JUIcrU)uk92V}D9t_>Nc4+t=ZXPOw%lvB}!k-``{a
zf@*v2>2Z8@Xu&Nm)B8yYFfldIQ{TI49QjH<(fUuvTXGvMnN)!WJC8z8!F%iE)81b3
zPp+;e*<wr$BqH0?1ec39uV0gXFQ}gM(;$0ytBi_SJQ@T&45Ks+N1vZR&CyE)1#Lj5
zh5H07QKq36_e)oXmgGVy^}!30kzK3@#XXvO6n2>4xHa;lxjH~an4=F>l$Q^~!|~c&
z{*xyrmX?+vD_{nN8@kkf#XI4;0NFsBg^~ay7$m@Ji*NCC=`9REoPe4QbimQc4WU5=
z(WS-(wUV$jwJ1Abj1CS}GIU<Cx&?}{$m!QN&lLf|>@e=}CZE@DU`<2nflH?!)Wo>B
ziIa2~_S|C^@53yK0QgH<n}DOxXxsQykseZn?~MhSm}K`ZRgHrnU+8MPj{H(bU+|tC
z<?%4C5TyvkFmT@bmI25eVypV6nIC$RwXd`ne<%5Cm!MSAEL}`lHlFjEDRi?BKE<k+
z7DwFKr%)qsSNZkh3MIN^^M8P@)B}YdSEZv)B1j%9QS-;RM|6m`$6kNCg<1u{E26D@
zEN+s9u(VRkmd^K>V~8poP4l2pR*@qf>aNw{-en#lNJJg4*!{bWe%qz2&_}ExGACSr
z2zd4nZuGLHFGxwuj&*V;dJN(Y@5rg9B?c46PHdzJ*k`ELoM=(v-eEy(G4Tto2oIwx
zy<r=;W&9c=@ja+~KC6OVq3^~$N`KT`cpojdt2E8SKX%W{?cKY@h?sV**6nTmkClY}
zmYoUo5@ug{syb(Ng4=0sBFxXPyl>a+3SwhjhTxH7bPE0B6q~ID^n|oi;PdtS<!7Fh
zJJV<1_9@qBp*{J?`B+82q_*+wN<Fo}01I|H&s6B<^<>eUI>D^nP`Q#g?x3dsIdLu_
zMEUdv&!dVpiT^yjlbCdEBZ>R@j%0nM*|g9r7&vz!R*-OSwhF8gbbz|_F&A+m1vX+x
z!*aWzb_mV3i|Jxf6Z9UmC--|iEU#WC$M}7rZ6yBD?jy73&e_l^#O<7WdW+RuuR)q-
zcuJwANZ#XD;@JllMf67!W;_UwLEf+jS*K3Ie9*W}_vgnEf4YF)a%Ekn8F?c3<-+=A
zR(f?pfMcuh+Pc>p6;iJklt0>N>Sp<Sc1?V7oo+8}{J<GrJ8gX-&m(yW<<`%H&NdPo
z*kUEU1jN^Rc2q<jZ>(kZ>}YZ1voTvSJGMQFcQ@^x(XWizj9aH(IrGIfsZ`C1sG0Fu
zSglbAG~~5lP@_>W8Jp7ArBP@!cB$f@S6xArCGtpo$kt)WV01d(Sij!0an4qpA)ZgJ
za<jtE*Og<o!cC2|0j7<|&BwAvh!ZD{*ocbLcpkYGB$&L1K57R)lfI&|h-aB(EZf&%
zMm@sKL%-!H!wy+Ov85rKR(8jqlAcZbCSIJdH&}7%UCzeiFT+=PJ~dV4k~<w~Ks;QS
zzmPEWUYMr*gzElp2ZvS+H_@;3;UXrx^E0ePujI(kohq~HEgE+U%_NEoL@{^qvF^-d
zyHBGuc{p;N&*TXrBc$%oXLUmj;={z>69tzCwiR_%R_rFW7JfB0-_d<YRghDL7;evr
zVJn@Qxk0$)9-CHOH{T-;Ecmw9fZ>(`x|7oCEl;cJuk90N2rRZKX1|Cv*2+-jmktfx
zK8n3G#L!xYT^Vgd;Ym)B;(fb_d@23@?`IrJ#(yltR876uRQeBHU3klW)!E2h^98Jt
z%fFwo9Z9t9PYe#CRXsKz*;n4WHHJ$+F<KspeJG0aV)z)-s?QzmG;Wt%UzD53oaZ98
zx$|(hO=TwDk@bvqP;<yCA301^E4Q;Y=h^Khr1l^7mu2B%3QUUCOHkWl+@(UJV=A3r
zm)Trcl0pBesZ7h9&7IFFs?fUaj?>>H*{v}qmG-n>@@82B-Q9c3+7C=}5jFF58oT?h
z(t4Ip#QNXjGaSU$=;$8K|10=SP}AjqjzSx@ZWVBaaS`a3VUWeg+{hk#%ei!LR;x76
zK+2H!Ye+op;D9+l?9cy7)~G4PT%hJOai-O`C~#sVwKOo=h3Fi~$CBx11^d{{<(|VC
zl9Q)2MoKUOnIl%;>Hr1;$>B19kJ<(X(x8NpGb$Gsx&GzY6YTtV?gpM+tjtgmT1U7v
zS+y6>fe&s7q!|sKD5kL1BGjCvrH!rJ?=W!t4i@a&w{L4)_MuajTKa6_7;XZfT&@Y(
zkNfv2t96F7CIB=Rjx`zr`fhA$k`xg+F8}D@(}$$jn?@U^qbHKkbs^LL=<m02a6p&q
zfR$1}<LJr&pf_yo#<1U^@Xu|G?Td?xpFQhDo&YDWMQRHavCn+xTa<-S2VL}uDk_B&
zNz&kFqf!A(qpYi@*2)wC$}BL3-!0i{YHIy}J!;?-6`KrYY&61t-riavC=VbU40ZwF
zwWrC+M-O$UnTn&!?(gm<-6%7_8V4l-)66yu`RQKXC#wQ#dR7mR$`yR@0c^$-q^K@x
z7F!Do61)K(g6`HCg_A#f4Del0F)+kMdGZy+1MATzi(bu}Sy-N>q##WXK!z6z=5f!T
zKf$zd&mPUkrD+?sY~hc-0?i;`_2&SHKog?9q#b?fB0D=RJqJGZRvk>#xi+_$*eEEL
zgpsi^B+7M?fCWM#!}Zt4&A1F&7&PP<&>vP)+k#b9pu?DEkP<jFbSvT;LFfIB$4w;6
z7GD_GTPFnfd<>F#s9zHAw1Y@ss;i4%@6_>T73x7PDP(9s8U^|J&tqf7->JY{*_~Q|
z)GK+tFQ4m{UkHQ13~!jEgGtp{&^M2(4EbLKkqB8G0731$cfU|IG(=B;+=DKecqrqX
zVLh6<Gqf_e7b1TcKoFA?B?~El3qj<^)V0CpD-I5|+!bp@X=oz|`^0KId`YZ*Jw10f
z?L9c>iL1>iVSCcr+8W3ouxBhW=%l>D0`r@O0njOuE;)nuizyF*b$;VavNzA355Df@
zwbXRi$Mk>{fA#9JWy`SoRG-Y6<E!_14qp@Xa(PY7P;+KCxQ&Kb+s#yWb1PKM&ChSl
zdjj2!KuZjws|;|LfRV_;;idWlJ}h<IdluDk5?tyCm<r+}0q|)M{gPzWm>f1;i^&OI
z*d`@kjV&t9U-PWlzBDC9MG>BO$oq8uB!cxwo~Z_Us=RNVEr_sv02DA+*zef)6NY-+
zE@|DCSigyYAva_UL2BfFJ!DO;4nY2<q?+dKrC*?cgH>Q-r`f*&Y<ZTY>bD%w3{?L>
z$b}s9UL2Q4TKV8-s*;>e$9um92G%G%)r786(OJ9W$C=la;8QI9XretpT8N6&*VgWH
z><h}txsrV-d)=lz3R}BzAzULA@#N?M*9ZM3Mc);w&?*KZFhisQlwQ_*!NSDjT-o&(
zckqPo5A4^;0bV0W0dDe%eB{o*dv}l(xZ_wrATaZA1_W-MiSvo^id@RtZ4~Q^)Ig&(
zh{@BAGm|J3F}RTe<zGJ=x{KKTx^-|bLMis=fyiV20~sZtR9NjuL|97HD@=nMqEINt
zFL0=>#F(H8qqz?sR;^t-2w(~a-Tn7X#7}BWRI<K{UI<?d^9vjVF05!BJ9dv3Zmv+V
zBJYK>^AsRQh%rOR9N*<PRGr8*fMRz;#{lpGKq!U9Aubom!~mR&7ZAE)#1RPX2j#p0
zk!p<kbpoY9!-i*13Hm7PzCaBMD)_t(*eV403py%dnkFVEc}8u3=E1p`nwbHmwXj98
z6R13CV<ayxj|U9$uTX*kPXcf!>4I2uCLEP7GnL{O6Nupv$v~LSS+}_L?UJzq$8E#9
zJ88hU&jHm%6iTb1B^@VmGV2A%fs1=S3lo$7zv9tW1hooBeqmR@S_o&_|HY_Mx-5dv
z(O4dES>dhQB2F+|`^}v(@_rx9o=+c`^&h-eBhD`S>T65RlwWa;F*P5##Yhxn><Jt*
znfl~+TxKSR**o-c70rNeu22R_M`GY)qp`V%M%{`Ra3r^GKivjAKO%+C^T#+(ET3E>
z{rbGg>*e$J`&MlmFpn-bnb~2y^UZ3H{GEe!bM$F6lk=USO5@q<7UHD!OxGPE;*Krw
zWwaXG(d^{uPE39IsC?aD>(-xKdM!S09!Jrh7)*UM?oqe8^vl~-lme$~9>ho!ryhrS
zC13B$bo#Q?Ch2mssT%q;;$h}r$%f?vd8c?Yo)yrQmXuuU`6K%ES8?*SkJ}l_*o$9u
zSJgx&6d1iYQ?`N6!g^)Y?6K$Ny<(qPy(=<SH;fzH&QEOq`<Oyp97?4md1);7{B|%Q
zKY1(hQ%A4;A^W^eyaCp__W`>xR~3HIA^L|H{c7NyJU;5sV7uHi(jkWC{FMqeeYyx+
zB2DNBtNtHrK7rup_X;1cIW<k}2rRmvylxwxn!)(JBE1ubHVU65j8p1cCvrRZ<pax0
zB9<$t=@}Y$XEPCkc|pOBFX%Kc8@Vv_d<~<G7Z6C1z-)z&;Mig1pw^nSqW0QMiM8(E
z_|Wuey@OTvjQ1PTop-t~=lJ%k?$qW<e+leoCrMmtcz%gc@v{`pxFP+Ou(WehH_udi
z3`cX@KPMS9Yg!V+RO_d&j~~=pcwl#i%f>Gwz35wvDOq_fU!SKr{jI=3in%n)zq;N-
zwxWjqk2_DBIB}-)xK6kqM+1|N>9<6RUN0?g=;27g9c?wq3-#HFBX-BoXm0r53M-N+
zvxI_lVhD@GR}K4Ykn&)ef>Vr66R-yvG}f&{h)Hwxy4{Nv-DDvI-3AwId5P}aX^v41
zM)nwVMmGae=zIJds5KVPpy-4YpP7>bSya+2v_G#Nn@h-vdz<hNxLmcpy`FIVUk7eo
z-D}t*#$fP6O^u$Q#^THW-o3Wm3(p`phO&pGIVEr8%YwUwcsPWz5HEN(b+<3fPrz>S
z=|^rJ9vD+zLGS@cLwa9Dw312|@}#XZ$&C9&4IEa9u=~NVAL|F3kU8d2_>gASzzS?_
z9|s0rz`iZ$_L#JwdLb7m5>^bOlmTL$4NSZ@4k!URS2VDpLv(?~7ijOuU(!4z^TDeP
z%cyLdHuZFLT*TX8ia>%$h|-9deUc-vsKC-N&?FZup4^}po)#7MQthO6$#o~l387aT
zSP7VFSwRxcVE@(OQ>f^WUU#X5kOoExsWI4)$PNh&4#o(cQ33N<NRT8OSXf%-LZ=s{
zE7AagsG2J3SpzOc{$)N=xQiUa;zoke69G2y(C^=za4tpO!m32um)!BVoA7Kc!nhP}
zFr;5w$^4iwVphzBC4pcSa#jlQ69$Z>=E$++#v=Y~tIwoF7%GPuS3RD62(>CID?G_D
ze^OmT1Bd9@yIyVmR^W1g!AC$X1iXP)prB#ZnLt4Yg5XH}ZxlK{zP`|S`8zV=`q&RU
zoF+?`LKV2tMsK8t%C3uJe(*p$k@BX!-IV)*_p=VrJ;>c&up6#lzwYZ>2|XVWA(S&w
zzJWafrbHN&!X7?^%j+;6u`yHg^XK;v#>TCW7_QP{|9sgeKzx`_TkC*M4fZYFFuXe&
zTP7f(23v?&JPz1?X&nw;&m_wtbBj8h-LPQ;xvEM`115q{<n1-AkQ7G3eEs@hpr5}#
zwguJA&3~eDBJKi`!Q)i%4pKW9iIVd*{Ad5xeYmSKGFwaWiO5NMhUyRO{1QkX+L=c{
z?;z#I0t2Jf#nE`6FA?D5o0{zOH#Rb2F9rg4?w_Sf4wBjD-jw~Y=JdTLfUO(wnq8pK
zj9smOfPnQ|w)77Tt=lFc;e=&TFkXG`-D6y{=B~H*;iE@M<}S9gEiAh51mc4CZIyvh
zJeKOSBjgvB9oN<dFMt36{5gh>vnb)jo5nGZgtJKos#}x-wv$J^yq>U9gGikW7Ktgf
z__~<!hlDiZULiw6*W2qpZUD|U2%X<6g-epbC|<X20$Xo7;M8DrkC_`P2gbE)BQRE)
ze)V>01oGp!3pVAH<rf5tHoa(EQ9&yDL1M)Mo2Gw}wh0WFw8ko&DHOl5rGf3@q&#=H
z;4H~lNMtoIGz3x@eYTTiU~evB0ALCt3a_y6#MqdQ%FsV|?%c`Dyab~`+=_boVbb1d
z@7^<F91$v$5!%k5uVQu5U<+?fbPL@e2Ko;`hsWFt&7Y(jG+ArbYdi(hf?{orS#)#k
zZPWq{wpMsE5Ij>}VEjhW>JPl6<+?EMK4!E2PJ69tcMY8;?*_{D2Os*{Z2$)1iNi$B
z2v5i}fg4^uoBzxFyCY+m=d78TwkW5BnAnC@sNEkKE7@sj1wK0cpJ&?>U$ntW!BVw)
zih$nBkGO;@R}z>(wy5O!ax&FszFoR9Qv3J&z5%bsx)B{Qe<Icr;x`|f`!Hy29sIt`
zh80_CAtATl?Vn{Vt*bk}6L;OlE=oY}T_4U7RyxrOLfg|W*#b|#;u2Pkbv$>a%N(q%
zW64d&eZdT&gFiC)*qQlR+1UvSO@fA*mi-F<2Mt8DcMqN7IRbvGxi~sQTKFolG;7Gu
zWu-SBRvH~$I@vPV+5=chfS2Kj=k#3B<2(4rP#L0u_-xGI7tYUsOwxOjSY~o!a`J|*
z=(S8*58f0k%6nVIkfu%)3T-L28Ub}<oEtgjvy+swiH)_aAL+gYw(J~&9jLfiUb>oX
zSb^K``;`U}l$QauY6-^m26xz{&YwDVtQwDKA*w`~4r>oeboUa<?e`N~0Wj`C>_I))
z_Vw%jojb9S_55rmIKw5*r#oh+piL-N(b=w}j=mEUU<5dv5K?ONufs<4_Fz0*e|Q-l
zkrm^l)L^|Px_bf*2C(nOT;H7(7ngstP*fCYLdk*t65n}=<OV4)_%A`P3_|57;YsH}
zJmx;{DqJh&bpSC#;++=O@Os^cX<#w0Dfh|5C{0KOk2{-{>*C8|2J|}g(X*xt(@l8h
zNj+3*J_6#8;Du(Gc5?Ky23p=N?$2<lS(ff~@RKKP<n6*G0)rPJZy7y3e`IlLMQ!b$
zXZ~{5qbw~p*>+zg0^@5g|9@uK7qTyX$8rX$fDuq{;8%0-+j0dE`;dpjkZD=c9((mn
zEm1CRfIK0H=><S(xbXpYE=Qw+2OP~E77aK!IB-#9p#Y2VvZd7=M~;w?u<*K7t7tyq
z5_!yaa%otF;H<l0V-LAh3gU0rNWlHaoyHi%lZNg|-CdmARn)4Rz2^06$~N*9HE)c8
zJYLo*7a_$t@^IqQr%#7;dV6}%Lf3n&wZ45E8gOc3!!s;M{g$dgwa@)SwO3pOu>S*(
zDjjiMU9@pGVX5;|ZK{KoXlzuWoJ(|_c-nZ&nQ)oNV#%AMA0akbpYu(Ask@5!DIafb
z7v0kE=A_=vi@p^Eb}7AVty}0w|7Wp1+GPfuighgp`Bhe0R{Mw`-ndWnp3#MgEvt#9
zdDXPW))SJO6>22z)nzC@mC?^uf6pkW6dmrn%TqgUVMDV=R?afb6DPPcps+^VAL^17
zJK(HeB~JILVfO~_zCo_qqkBZ%dTL~+eNGUqk0X@EqaI!FQ#UnP5mk^hx=q)8PzHY;
z%VlGwoM3G>=Iap{{G8S6=CRX!p7d8P#oCJY#+v9)e;T>@Qw3#s#y`i2zjqUJOzgLN
zR(yMHFmohwn?;vS1V5pWDtK|VqA?NAp2(Z6;JCTP(N0w(?jZ3zSE!4@mzZsLRn++^
z_2{|x&Gt%NLcnK-@=M=V82S2Gm&~La6_|Jw2&A?=IKyS#dql0V(cN-zI>eb+oj9Hu
zVzfn}nXb1h@taw&1uJoxQzk1XSW!Hw<{x$e;gV&Z*MBQU&Q{bY<h@+udE>334O8Sz
z;_etf(W86h+~YpWY}?T;$3cqURAt&9ahpNgSbzKCiG=5uYU>=9*GZ}-1T~1b4ZM$Q
z4nLcC)^$PAWw)WN(e4u_cQ(Fr$)2dGA)?B{qcA!A{OW%p!^ZppRz`{z!q^C=bzt?O
zqr`$K2#DAW!cz&3U6ZWRjsIRKFIxB-=bk^{o`&Tm6nFqgP`Lox0I#DF(h@kwehs_8
zReP=*!H>9cO{S!&RB)v*+rL}@beT+A5xe>MNvUR>*`M9rNg*U878i$}-r-wrZCl$l
zc!i3d{dm=-5(_i1Xld;npT@yM2OJ6OKY=_1B^)c5-{xZ&1P2ZABWz&$-=Lx~&v*0j
zVI%b;a2y(dJsLRI@NGvjM-Tz01Oas&2$^uK!HEUy^occ*W^QLU`0E#F{hUlpPm8;d
zjojSa&^bfcgM?F=cBlZqF+p7l;;)d9Jyg806@Zzf!zs2{{Nr)pmS>$&)I7Or=Iu3q
zb}2UfKQd2m+@SMB0B_n{S^^F(3U`EH@QHpyot5{plM|=R)fZs3pjbi3!W<QnZ4CiJ
zM}&(;?`Oc$_;v?X`}_Ydmz3g?<_~fh6m<x)BkHh*$Yp7%0)aXM^{<U8c|mV4Z8I1Y
zxn!%79y&syNe)IM9p@LxqK$c%&Jq7_b?sWySwu~Mz(nES3Vv}LvgTnXJ@ORu*E5Ol
z{eP-lW2Ay)t?T2#MdsadNLiT!tJDC@@SnEjF`(#C(C}zwHj*{N2?wTyWyXnz5vnyb
zfJ!raBwmfa#lj@3Mujt}{7+8C?%v*JkSjlbHU)PMEBEMKwjoPPNZ`5VQh+TGNJ&^~
zXGO4w7AR)3u&2b{3)Cb)XU3_4q>;F}3F^Q=&7#P{`x(Q)Y1j5fTLVY~g$V*rfDntq
z!kWRgdoxG}xMt<j92sxK%M2jKwp<EX26c)2qE<i}N<d`J#xzrMABZr;{y5qq=oH9L
z_dG)rDZOtWNM!b?*9e$7gNnFC!~x)^xyWWu17Ur=jR2u`bDhCgKanv1_GwnuDCvI&
z78Tg!Sl3jPxark1^k%6F<6S2e9v0SMutiT1>p>}s?hx!~sOFg%8KKiOG5L)p(!s$L
zgDy}@ff<sHBWv|bZryr|#6{qMtZO*tBD{O|G|K;A{jQP0$S4L93x#9|CbeK{qF4e8
z47-4HP@rU)u>(+xA+AmN?e$D^5!Av$T%2@bJYELm%KD|)-o1Z@hvRj>U=1;F6X4z|
zp+$b@S|gGe=6LxsF8J*=n=?TC#=B#s44p6OE`a~DqJ%GAj^+2Ne8_i#>j2jDGq5qq
zbM^T%{?H236HtgxSy(J5<qjZAvG&_WOoIO%>3;^vF;KIuW$**GY`sS6bT+fI``k=P
zvBM{L2_oe75!xQ?zoVssxe%`U+}s=~qk}FV;Rb%s7vN`&?qhira(m(E+=qObBS7Ln
zt)q#`&7B1C_`m+T9o1&<cl>UK07F{*eF#3D-O9n?Sc59}D{tsMQX~My6Y4tBr3&>f
z*!JKLN<wC2<3{d#!(YKXo|$>ga@jcutUsNdkcDM07F1I5priT$tBwHZLrjf>y4CL8
zefnv!2cS6*vZrPWn)%~KT>wbhc#Sa&@;xy2$QkA2W-9(?#R(Lf#AWd`<zMWo$TT^&
zW2P(A^x~yUG;6rzW_ulRmY7#r>;yUY@e+kEu+4QyHt-=dxb^j$GmVe#00tlF_IDMb
zt^FC4V!2o$0^JB7Gf7p54rXSWYh5ZRccQIDhe#{sF<%Ht+Gq9*rdnEmCQ_4%kt1x{
zR;5KppTV{jRvZb^a1`jf_zSg^b$;~F%iVtF8kRMuxw3dDE-#n*{^y9>(6?;E{Q%I=
zf&#Y5#MKTN0AL0(0Cr7*{lbp58QrC2a$(M__C=_Fc75&z4_%NM*BiWL3e;}!O0$g&
z4ejpfAtxaiYJl~Ri5-bx1I|Dtx_l41X>hr9!aG*wqgX#_h=p8nlvKa5iwim{0FixI
z8$(<6)_oGz+WZKy@7g((lr(6l2VXrFqzLReq?}AYgRg~<55xv9@$e<;CC-U!qOU&e
z2gpW01^%SH6{G0E-#+*n1o#1}_V`#%4F|)Hj@Nk1i}LcuH->+ZKM;zjkPJ1rv(D(K
z5k7`cdN+lDS|Pl2&G!fjrl6`WhQKER94-dD7mlFEIegd~jlr{LW_ZkC*MRlO^@1tg
zzh585Cr84?d4h=66uuBJ7qrG8YtMQt3@zXwC8g&NK*$`A8T6Gr=BLgfid?vm4sJM}
zA><iIvXTDZae3Y#o>Eux0^h;Alaz;8xia1(6m11w21$5A>t%k)V#<|X!KG|y=!);0
zc&8^)g$)nng@S8HOW*Tm3_-(Ld^J!57@(~G!rKrLXOmj`7qyp`fC&7Xf2kq=fgS$$
zAN-Gc`9Ce>{m<Nx|M;h#)tyc!FKIRA@}K;qsAV%1aO<?SOCFXezU#W_b_)G+XasAn
zG~u&HV~N_&J8vmJ=F;c2^*^_lH-9*~lX>W;%%5%Y9uf!LZ%kY<UJ($iGr8=Na<vA_
zs-bLMV!&2i34v#gg053wy{-N(Vo0I4=Cn=s1pO(8M|>G+?vq%2mAb0AC2+E<>8f~D
zy@TW7x62!n?JeL%KG&?hb2>YJ`S)XO@=7oLUTG1%!KsNw22s}QIrb6e?QD6+eT9h2
zm9e1z=o6>x`7K672!-}|Yx}v9)z{^-57C?#kl&Uel6lzrC9R|TO0k=N-FJ#|COvNs
z5e1mi264;3YtJc3Og@t%p1WUGQ8)b~LJZGD*am({pYXA!vq?Hj9RJMel{_8U`^-r>
zBF*D%kvg#(g>zTsZlY9Eqhe!-Oi;@6<k_dmvp<G>Uo#UepG$N~JmV%5>!svVGFC)|
zduW>%={<_Knl(?OkF`z{8q=-nr$1F2%G3WjSF6}<LA;2^voQL2U_^cE0rgJnElF<Y
zs!UytvfXUHS5o$xHGAJqR(JG?DoWR!YK(VG+g-wjjw2yt-H1Iu^N&Eu{>NH#Ij18W
zE`dGuba>^Gk><ZUV;FzL&`=Kz9;bhYBJ9HA;$tul<&wS}58qlGGOEs_iThYXTJiL5
zS=qVXDonVkBmFwwXMhd*fRNcDi~}*F9*VZBoqj{bGsm9BcZD1VE{3M_f}<mr!^FkJ
zAcF>C|3X!`WBV0PFV#!3<J3jbo+&MTeJBtAC41eC8xup?(Pl&O3#F&aP|*Zx?}^$&
zT)qABC09zZ^c^N{qkI1R3u~<9|3;Y#Jd_;ESwjM6sg@pV5@dD2<QnBPj<-EdXkCo-
z?*~VeVxBHV3KDe2kQ+ALD;4lPVQoP6`rp4tJ$v@x{{4$^xJMZbLuQQWUGN{kcds?}
zrx+_Mzr~sdBbVHoC~PtSp&3N#L+Cwt@HGbXC}EPaOR(t-iaWNup)m&4CMkIFVC5L3
z1bBo)$67r?x}mx{)nj44=8QHv{-srbN7hIN6c-Y$LkR?HW*r+-Ty~U|_8>Aq+T2}*
zAvu(U)s%+FH4YzEe)EhHP6HVL^jK<^ExN;bbqXjl+lCF`wQ)g|24zX~r{-o-RSCpB
zvORzX;^p4^Asf?JcSS$H9ce?dEZBPiiJ~wRC!uKs!V|u2%h5HU(SXA?u)Gcj(^Ey}
z=gtYkG^i9`7Tpa?Lys{U22DW-a$-172S>Ri47>kJq3znI#zUF@O6A<uQ4wT^;wdbA
z>8V$eE!CPK3`+lJ&V+$tJ5bExKkv367Gp0CMJDEYFr`bJ?rOL+OFmpiMJ1$zv*c#d
zr}%%UyWLfGQ0fH!t-G=0yba~C0-`^<L9QHEs5XM60g3Mnpba~LJ9BfN1@wt=i?p=I
zTnJhHV*Z?wArhz#iy1~nfUpzDNbGXOQjhJ=ookBI;L<t{4JLhk(pRLv{J+-asKYeh
z3&BxY;Xl>k+9oE9!DiKCq5nH?0z!CN*%xeWlfBv?u<A6_76E!qaBw!}37C%JLm}s^
zxF<}pLqm&47_(JuK}p&)ex&+X04IizdWu9YKw;JRwtq|x>t6+5|9vaUryBWx5o2tB
zQEKtLz8@^WN<8XQY}=Fjl#m9~x3{opK>h{CB8l@FIfT{M$0uk;se@6p(hofSZvq!c
zX^gw3nwr}V{wB{RgqV=LE8c;635p07<J(c~KG%p$6&R{dcyN?kn|A|xuW)z}W+wzg
zBK6lVY%nC*uVm6<DP1Co9&(Ov{`PG)T^dA<-(S+{O2LlMd1kXK&nWdM&*F;7GPI9#
z4i=+Az&3>pvf{6I^4HuU_b^}wGKqbk$5?ZSkLShCDo#BF0B|$$z>zC!!N$;@hjte6
z9mg@=>4}?`RxKDk$sd1pcgwp-Lg8X36`m3fK#A*})EuWCu6wQ%ryELb1i6u-Z)oE-
zf3g!)8hCSCSpkQ|ZmjEAUo4)Y)2H_WqxSMzi5&@`l7J54#|<#MxOeXuD#n0?nl|?p
zV$Rv_L<#LpS!J5dw5(bTvDOEcv&J6V${Q{9g0@k=_K;!Di4@<L_ueb>A9L%AXJK=E
z+Od(%hgU~IQ*(X5T0YUCI}d*Ot$Oq3yXx$MTvqqvndF)3za8J6>7}7V0AK<3$P=jx
z(FigCTbpWYPd5y2+DB;0PMXjW1feMhL9;X7nDyncV~Ut@Qy`}pQ<rnzAe<ht&rVOT
z{rp)w#-nzBgCL~w2JT+LDTRF)1<LgQoKJb;g_U7QhCGFqIzA3F^BI(or%%`7He;s|
zmPU8x^bdfLb2VFr@T^cE*5Nlsxxo!hzr)Y}63dRl!N=FHzuLkd8WO@B`0}NbJKF=b
zHhz=Td8iKGJXh~4TW_58;^j--f#;XW<=vx4XK_=>e&O=vHEY&j+O-KO3KusxSXl|v
z&-?yC^n|8UZaO`FkLTYDSFSXD`V^m<3Q^TUqqVpC>#$toP<ZXh+it83j<v48r#$J<
zT7rQacvm0;Luahd&HnKV`VR~(IAK_0e!Ciz!&^Dop>kq`r^xHoGK=qvOVZz3Ajt$@
zsySq$49Uyq&!1YQZvbL76H{c3$7oOB&qgp@5G0hRdBA3qq$H-M3hmx~|J$R`(D%$D
zZAnAG#giiuH!6;E5ej+RJjqY2c?9X^j5l%*wkwY$gx$aY_ivY42)JGR`)%BDOdPgG
z<H;LP8ik;mn!TTo&wYWQBoF31SyJC&XHLdJTxuSkI7z3s-6NrbhAK*^ZxOp5SX?HE
zu73zl{0;>^aN}T~^~7sYZE{d>O|5bRa8VT%Tn2Q{8TaAa<i{!d$ZH-%C9H2LWk8$E
zZ;zds8H_{MQNW|qf!e8MHmE0vFlrK^NgkBH<Ky=5dSwCuKEANf=<;VE13>)`D?tSb
zLq^tCK2Cq0=0UV(!p8YZN`NWuUumKvG-+0Tr@?0mY5;10EimsMG}$DcFLi-r^<fHd
z4d)dKmNk*`B}mw46V9BATfl%1okQoy6qtNqWA))DkZQ0&jc<h6$uB6N8XF5H7oxrw
z3N_T!{DiU}85`LT^#lA2NdF+*f5*0jW2y6bM!!)Dpq&QY9q&cL_z(`3Ll1-bDV*Vc
zj7;I$*cuzh=jML-_DzPD*AjkNSgJ!5MMSehP-{#zR#PHB3lvYwIL{HD{>$vokoPkx
zIV(FGk@F?SURcvY0|6>IUS17g`@{B%+py~_EbSqt?C$2q%)&y>J+N`ir-&W50o-)>
zoFYWc&(BA<LZsOPlZyK}p$~AqNjW-%QErVVZYYJYa_4Pt4T2?>qHi`eFa!q$fdZyD
zAmGk;M-;^m90tD6j}TFb>r2TK&%4*raSWm8D5fGnkMM1wc7)wp*2o%%x|k2Z6q=D@
z;n49zvGW#=DsYemfE<_!zJ+f^cQ<kkNOX=EvtiIXaC-z>pL1AfhtnLmTN5y{2df=-
z0;}I>*7J(>KQzcQxz7ydfOP;cLKdw(gnDv~Qg7T)ggVs1NaO<CD|~b$_Ur-l@fGwQ
z{6ehDTie(GPAMuZBs(@BQ@rN|Xb3r{r6&eUYHuO5f+lslE6duoe&5O0DgE70-WkMh
zafS>&#DQs^Xkey*SG7VO_4V~#99u&~iJV_c9%8&anW^yze~eldG`3+nsNRi|ks)T@
z+%4?WUaK&4*^6H<^267d3Fg5Skt*&Vt46(46%`{aw#=@Kkry=gKE_#fvO|!ud`qjh
z#{s3m76YHPyM5dEtCTXwIIg!bn9eAExf{&Z6&~#+dQQ7NKjqV`@jprjqrZ&Y>@cZW
z&6%_R%0YTc3)h2>8602rnQE)&UPqi+H^a2m=X9~3x1~eSi*qa#3bRaQoblI<qeFYy
z_}Jviy9Jn<n^&9sR)5g-h0ocKeR?_5;5Uzw>XaW>ip{+PQtPCfw~Tr2a+}WHAZY6T
z{lgZX;deQ&Dj#P^IvwZwF;TarwQ18~B|o=AFKk%`-z$x3_<awlWfi}zWS+R|ON4dt
zMkcHCyHCE1uki88s$V|wyiTWPSM(PiA%U-L623|%E$fc84O#CuG`l~-aNq#luM7>p
z<g^INPnRoIb3+!*{Fz*)PjmL)waICxP}t603gM`&RvCY}<r#Cofd9Q3ZSy11eKW(2
z&L{d^OCqF#1!la4M%-5tL<J-N@Zvooh$95ef4e_Xqb9{}d4NG+!iD?}^&1GCL(~A~
zE~gL&(7a!Cw6L?Q`f(mLwlV{T<^WwbGc#lK3)SYhB=R-Wd@gb=P#n~=4g;iq4@PX4
zE?=$(V^?BP6}$wb3W)sPsOhfEi6n?f35%i?WVj@};*pl9+b-nnPOt{d&W|5uaI7$(
z$Jr^y@{8SIPRWC6kY;vqeZ}M!ua~G2xws+${Pgto9g)C*{UL&bxp|D`Y48n>A160k
z(ZD2@CliF6_|h}2gAM}Qo(RszlmI0_I~|2r4l?kkPvzCs<TfdoD41G!VC5a-Q>@wY
zi|7I_A?qr57-5ouhaTMu0CW`VG9cb!T8XNqwa7K+<O57B@Z$@p0+oLD^??NN1-5PY
zOVn%Fx+Voa1E*l(@Xu0^NJ8Yv>}dtP5?CwpLbM_MnoTe88GzZkVdH5vBkBDZ6}2t>
zHR6wYq+Ai29;gK%^4CD#6wZ1|{NN?}C=VfA8e)uar;N$|k<<l>|9dR<9zTBu7kPsb
z-C{uyM6O6-`JN>ZWN`$5x6xNrjE&uaV`7`!wl2n-V%ETB)!)-|G*T{t^fwjEPl$^8
zj$If^G#(0A1RWJ~VS5=Yu#6!1mOg(hpwU~qKnRS1aB%EdY)0=ao57X2Hc};t8-zIn
zo*f28#%tg%8y;0OHI3Z$CiUzBC?;PlreMKx)z_YeP+&gxbTKi@p<)E6Lx~2p5kX3~
z?HA}d=$YaZ6VEgw(_;>aHh@#=yh2;*Nfx0{ehI&x9!o@%40uhS+XZ+HhE1<Mxd`It
zE!L~#bJcYTwRc~iH3g)a`#E+857PR!LBEjn%>=T9yNG%OpI!{(P>dl%j-l6d1m*<h
zC*bAvwV;5II=B4a@*RD>P*npzOoucu3V!fcppXCr68q)cJ9n1vw<CzsrNRXyX)|xK
zPi%XM(1{N(A|X+Xwl5_`kRKBLdkjC;eE1MpM>2@f8nX)Sm5_kL;4frlWd_j8A@l7G
zt5y}X_RK{xa`N&XByWOoD*&YcH!%)^P`$qN<;q^0QAGCc4NN+X<azYy8m2h_=C6Aq
z(zCKQ_?ES+s;k@K?xHkdDc~?ZeR{hZh*w-F8cF^Wl3;ZwwCVriLZ7v^Hqg-#2j+;B
zR3W~VDCJ>Xj1Q$eBr5JE7wH9snO!-MS3K-c49f=G7APzZ;hf_K>>HDtaWTQpc_Z{B
zEhWXmyQ1O<nj_Rujy<0afW-klYgi(opTIB=C<OMK*Jc^w$y~N<F&<UK;oAymp_$Pu
zgOGBFB@BUn>LLN+BJ))tJ&{fdMn-_^L{aC1Ml>@sgCU|nSlgo+PD?ejVrO=x1bR#4
zc&{FCpk8OY5X99TOTXcLTicUeKi$U-t*rQ%tZZz2mp2@|*t+XUW!F49b|ayj{QPOm
zFjzviY~Fk!&nN_g`%H61UEr?aK|wob&f~*M{rgs}tr5!KLFEli+U{F}7W#|&z^?R_
zrcS8vt)XPbg#69G&;ZgG2ZuK@*|X}Bl`Dl?h57gbZKMcKjm@;wC-WIpEeftUP_Rii
zjR<7nV0rG`Atg7th1zF_?i-4Vh+q=&GvcU)#V#iA*7wy_ReoNHNlCswK0Cu9vzdOg
zQ1S;IF&VV|ztyzq>+|I>djR9XyceXBbk!Lw(%lz_sN&CvcWC09+i6Ly2?L?R!;9st
zVLG*(<#9f=jF>e4_wB%bK}E<DjR(}()s;c<vKEdO5T?}BRHTArk^%x<G^H#gjJtQ&
z)K;J<$GSq=rDUjRH|m?5I3b3?l9S;KNDE%}|5M?re}`JN23tAM5T5bB!$ZmQTKe7r
z2Nttbfbt}j0a5LcAA18VVDUJh06{s7>V^Xl4f4R56etoSOBqm$PdI5p$md4c4}7?4
z3}>RFp);@WH-8k76R4IgnB;hGAj97;<^e7M9*+h4Qyx-1tpzz>F7@UvmZ+d&hXw?E
zLTiq-0g(EhW4MJ~13+lh5*5QG*SPoegu>gUW<nP+4m|^S{k4enxMx6s@p^-`f}W3$
z_dO824Od(tB#+fAS6-bSO@OL~WfkgV4bZu(w^Ty<FwH10quL6X_!+$U{VqJ>@Cp5l
z(*m$$KP2mG)iH~cyWA51ir>I~27*{hWDoJo-ruE$^0W}8Hf}Atbm%?#)O1T))%^sU
zhqRV~`1|nFKL`K!>akj@qq7qlM5KK)NH)00$Q_vafk1<EjOQ_PrlFx1W^v$wp2Szd
zPz7rkuevUxeVd*bT8Lbjg=T%$_I1k;IjEI|XB{pypb9YTMa>;Le*Vn5)P3v&$!7cT
znw+rPx4J-N!(nd@wRHR=$WBXmZu<6yk$ei!Kdqu(Ui?v$mim41#~{y(rgRIl%IO^u
zUz*u7m8L(xmSnup$Ho!TBO4w!nbLl<<6kboCoUd-HN_CifHHnx)R#s5+kd|)u`F$4
z59?X4b?w!R>$(?g%J1}I)b{g-sH(aRUN2>=T7G5Ek;7Fyl%ckNzA}ZgTQb#_%L(eg
z)Xtny8dcw~9x^DKbKi?mDDzyi5BpjQd+*r~8Qu2<y?gpM{!_O9d>aF$rR2nUwI3zS
zj^6QUnctgB_|gQt%HPTy4k^<7R6RElYb(n>=e6r#{*i*2^x@2H$u(XaU;LZdq~pB3
zB1bg?(h|2*?9J#x%oaK~ZAwo*>$r<a%WiGuBTH@o#MTTg8@rjbn(F!m-hYtbrew@_
z7#}lb{CmyR+x<u77!!-#-;IirQkO(!L#~Eta~o6_C#ZH*`poq;Og-R9%ju5^kCSD3
zYjV`p_vMYkN11ObP=;GK=?)v4J3Oyprr&a=<lzb#&5Sjp*WS?*gvA|dior$S<+<3=
z{->Lwc?5yraT7Rlo40I%UZN8sGpMt=F(aT|GTzZ{H~S%<4EivZB|s3YDl1bwbm-3D
z4DNbg5<tV_jCagVpZ+7qvx*oN;++s*%mLfpbdMmm{U&j~->p~_w*y@m5oqDl1M5>*
z{{{ld<+70=xK=EMPoymgvgPj>nF8pADi4p7HVB<qO965L1+DR?Jd?*D^$G^8j-DR4
zn|~E+mJ{D)4^ZKeZ|J#hb?1A)<Q#{_8j@cV?H;D!p2Ed}mEk*-+Mp5I^XnJ*h>A*(
zN+EwNl5we&vIgI|C0SpTl8;i2q*FhQ`y3!9E)I6%$LK2v@@uJ|Qs-G}>hF#YSYreS
zBSI?SOTy~}1vJR7Xh{LBp}&QCB-W_06f)X|V+aZcpy%wYEO6d%cmRb{^wmd;uQ=51
zgugnPQy{XK0HRhzFYN8_uQ#hn5b?~94=&bt|Deu18U6hEZ7=k4Vi>a3uExbf$|t9J
zux<xQ6>!eUbMjcGn)wy(fI+CfgsA8x{3k|h-DqubFF$Ll!&z7!qNMO;390(<ft)oW
z-jeiafD=>WTL}fn)5{lej^z->5Ac%OdJoF9On4%YEI{!w%{{*zAr^DBy?Za9c1AG;
zq#A_{%Zi$4%(ma(-TWDBR)k3CC<E0jFINQw%;}H5cLITLh1LD=a4gQje;UJuRD>iv
zO`xY>*<1I-3GndrP_2xn(-4}vC$BG7j^d~}(O*-d@mQefULS}RK)ftDP{;$S0nG*>
zl^Yijp&Hs{O#R)6jgYwm2?7Pw>0KCsBeUU!8WO=2`8cgZ9m-&Ms4o5KP?pf4KxJ#M
zhzL78ai}U>;I%gq^vel_siiBS`~sV6Slh>2C7a_a)`f#2gi3{_7U8llnRFgH&08(C
zZ=d?ZJ=eWJ3x#jvmY5F^9==(-UljHN?(XiCd>Czv8WY6i<)!pu4|3>M#ye#{;u8||
z4GbV*8y2x{0mBGX8%MH8Y!z(qpCC`55C+0wN4}secuWZs>iYv>Wk10C*39@;Q{(TI
zn3%Zp8BBi8SXzF8t9$xEq0s*C-xZVwxZMzNrEV?W&$k#|V2SN$gtU%W020^u$cV4E
zcS0Ie4Fb)d;xYd6T8gA~g}|~~ukbMLZ9{$ENgYsIc0{9?oc^_j7*6>2h~Z}7IaN`@
zN*#s>hy`62^UgSeatLiMoEG$Tpnu>&U;rrqm>LCF1YCU+N5^dQnt`28d|dz%eI#o?
z1&j+Hmx~m(;758{zF3%gUc?T?IsfBn8aN9lPHbR;Hz^68+uB61#fqYha0~(1nQ`;y
znHfVdfM1(`urF3!tXI0LIYLfNB(XdQ2+%YwBlFSnOO!J?xjYn9^>4!gSlp%dHt|wF
zEPmea{(y%t0>F0hZIou{^zL`r%0^ap!7$zA4>z*SQiZv@y0I~27y1@%0~2j+5)VpD
z+|6glCS=6xbk7~FC=5Wn%bS{-zI@3&@Cd&}fQpcK`dqp~cAp>0%OAor)&Kn#$X7gl
z`UB%G@M^KYNoxN}M{Yl)1lSmX4s{vG8%cNW973$aNC4CC51oH5J30awVvq4Igp17M
z$jF*H;DV>Uv0V6LYWcvQt3Jrg!|6-6r2~}?vMw4;O(P>xj1V-pRg$n4ep^>}5rwa#
zMAnNJ@Wy<FCZrHnQI&v!N&gcx_u{H7&S>cRLEArb3pnBHQAl3l3?)t~AT)1T3PRH^
z;{(oMK7h-GQ!Nx~1E{)WaS<0O;FyadRyfc$fRhbz4?G%hCkH<Pg4bSeyH`u#X6c`z
z#uh&OHC`V~+M$z;V(5MsP%Rv$dob-L{XD;v*5SlDN(3Ez#~uAl6|wkYL>B@<h>ZwZ
z47@Ii(-4zV)bshD@)!Q7Nn7Evx=3+EMJee1?p&IL;Mna<vL0F=Gk`BK*G5dTWn2!P
z&(f^WZOnWz(w6D$u&*=UYw&Hz@>Va)fsT{Su6raun_=P4k$E4j&leG$;d2}ge;)L*
zKa5EE&L{FZRAIm|=y%PoV?&l_9D+<g1vt>DOcz&<RlH0WJ?$OeRpnKFrA;)1wfOTU
zW5HMNBa>29lp+mR-sVlQKd4k_eSl}dFy?^LBWn%)mmz7#ly>QC6!`k8*vD(P^)jvp
zT8ir4mQ|+80<K-wtC{qV_LOF%gzGYEIi`f1`nGOjqD*_lT>6O!=lH_10%k3zr{9fh
zI~f=#>^Zq@cXo>ol+B359SzyuW`9OWX_{L}NhM$4{f|TzrjkUJ7vgC*y}XjDFD{r?
z@3!e@VUnL|7e1aU&2-`Dnq|#>6*&*54)qHb%e4QV(H)SCJy1U(#C%O#T%?w%>c~Qa
z>$<wgjq9}}HD+=w3ocfw*Cr3&nXe4-Q?6{T;Xmv)^r5SWBYxey4~YrBT5OeZBmN6K
zNIiH8bf7ZRMb>Cw4)KWvL0*5U;5`m?<8DVhG3a(dxdFI@g;SehCjYJb>hM6}gaL!P
zB()X81YL5Y2PgwDn_yY<HVAkDSj7_oh&wGU>A%+|RSP%|bv$sl-2%aHFvAd!upxs3
z2&Gdf*hv07MoYN82^!;e!bc{y-LC0oV`Gy?Rs`0AS~ddh1^WGOni23e8AP2NEI@A6
z<1Fnkz>xAPx)^c?3I7s*BHM8r{4J6n@6a+JRFYVpot<4MkvvWA^DbJAfqyEEp|$h=
zWrU{mQi>yuv<fh@M(=>L09&FTkhMWp_%k(2^7lLzW=s|RGEiPo`k)%t?y+F3qk{nj
zPM~)W(u5MWeWfs|2D1kJ(L8_vOgDI<F~J1bft1(K6qlFhOuqeS@5sAa)Ez4rw?2%F
zbU1Zt7-DFE>bD6B4&n>r%FA#H@7Xhqf#cfjIGlUIWGdn<iGBe~u_5yq9RRQB!Cut{
ztPDfJW|OQ-R)-?;IH;vewSWys?YaB}<aUsRkl~_lVRaR>qY*eYBqW3Z(5nhhlcm+v
z)0@C=#OxfjC#5Vfa?xELi7W-T7Ak*eu@?Yj;0k6Q1XB{jbNKg?Tu2awK#<bXF6-Ms
z#EZDSCx;*LkFa}&8@gT#xd*wdg98K5%$q1=zdQ#91OV+LKtVJ!8cOI*DyphjTLEdI
z@Hw@ys4_Y?7o5LGULYv!yxX=J8mZXnW3EN1ib3->vpc|3S5wo{YUb1rzRPQrHZU{4
z{&D`~ElfOcmw=~QTUmvLhp*c#vQtjZB<nB6eyEvl-CACW#JGAWj14y1?u_7Pp7X}G
zgYtM6?gNk#rBMKhYWA%2Q{OT8_qj_;4F4(P8zmpY-Ci}_nK!}Pb9emTiZxwJb92(v
z6A&bz6-vg77oR?VHVa3>h^;wrwQL`_raA2_(b(Jy*&{9<{H-PTf?3GbPW1sAB8WqG
zac*?t6E2WfIrRKDwfn&PY;0r%g9FTx^zgJ|EeS0%s$~EnaDz@tOgx#5DiVea5Rvq=
z@BoGx<N?QQ)i4Eh^(rvuyaBQvn=H-CF|)KRXO7N^Vq@M2g(p6d)oA|LQLkcRbGjM5
zt2Aj{?(T>x%+}5hWwQ#Hb>L89Paf-CXo;D%sFfJ&<1);azPJw+!^dfP!8E2M`?fMN
zH8=+sym$d(Wq!WFt8@UsXP3eVvW@{B0&Fee212V{8YvKs>iR%`{~Dmpv0~Ux@<SD8
z`2olYM25V35LtYV@`0X>6RiaCB8dwfO3L{Z3gAC5MVM>xh2K;^=>9`GFEE|OzWj!*
z48(V{+ct~WFK7!xlX5~*66_zR5F0EQnjB$BG*B1odvbedrQ`YYxvmqbl$;1ae_O;X
zHI<cb!Il$GGt#u-m0elLYTz-Vcmp;msGkvo;T7bx@PLz|8W7lrpkrC*AFq}EfpkQ}
z?I9`h;m|?ZE9x=t=Cs+(9fI)&=W;85Yw=*{TKEJ@Jea5BAp;`@r-@Wo9GqtA{QbMw
z4677^DX7lS#o;8wvk6T@Td{iq26fmXQ-U-UccB3%p|EQSB(etx);%)iCI_RAQSesr
zzTDBM=7F~aV-K$Bh@xUk*h6SvRd!*9iJIEu?@w>)ayk%b!^_7bN$`}Lo3wXAe}`{{
zeOUnCcY$=?yH`y@DL~u#&TYl<C6;On3P$aC^k4+Th%bOD0H2D)wJ}D#CjSgP>9L;L
zP9PSz$EXBwzb@Ta_v8Eb^_-kSB$`(#beByIDt!t%OI3RVq$yvcbn`+6c&{7Ro()VG
z`}#Y%x#8xCoH2&YOxZORh&a#V<GsAF@i^1AVmUFnZK+6PN4@Rj;Kb=afgoAj{{#F3
zmx<r*Lv6Ac|DlMRo}4V~XSy}%Hjg^ai(I5ZavQQUB0Sg8E`<yLLvRLWWx~`FiK(#Q
zI$|68G59MAGTzCA0t@P;D|?S%zpS99FdhdP(cCouvbPs{r!RvO1aV?hDzytbfZRxm
zlghbC`M)>(KdilZSdRPO?tjI?lChFy9wJehRj6cfM<S_IO3F|oL#8wj%VH@ONo7_<
zGzdjfDj6~*2_<8RNJVL&x&6A-dY<(>d;gxj|M=a<@%<hSD|h#OUDxM5obU5I-!LyV
zEq4OQVriY|R--H<?h_z}GXFeyE|*o2^b6Vh>FVgZE>-g^EK(RhJ{HkMI4&u?cGQqw
zvDH*3&w(V;ziym-j1CtH8IEIr_(GEot9|;BaiLf1$yyi)vy89F6je0&1+@nGy?kRQ
z6CFIjwdS_*!JN#%-4>B)bmv03b^35mCf4C!wWM-V{OQxS^lAK5&(R+?Os4V7ry%&M
zLj&Hf?J+nqdB7vYSrQ3kXi|Uk<EKWxP#kDD8lg>JUUib@k7ul)KqS(VX4u+lR6pz+
z*Q#S`nRr5ijM;R-g23vjXcYDvZs9kOnERKk*@O|o{TV#`Q$xG*CM{bH|JL!Sy=YZK
zx&eUGJy^^a{=GFP^FIGZr_%0vNvG_-G-dAa;i<hw8_vo6Ewg#jm4PxZ77n(1@ixP*
z<n^Q6L%x;?4mabJ<|}4srsy1;9J{@9c|VyN>-8hUH$AIdsd_Sc%ps5R7Z<*y=cUJn
zS%i9lFRiK`Hp(;g;iwgUe`b{V-E;IBpV7U_Ng*u7s7J}#obxe?b6<<2QSECQ_Ai)$
z`rUJ%e{z+bPH677p?gQnIox@3$yv(-#VHH+NcOIKlApLgcy{&b`?AYqHmWXL6`?E9
z+4JR2-11J_Wl|OYYN_?{o!{c{<Br9s9n5F@M@1*^mp-uSbohKp!-31oEl%xM+19V)
z9zWkGxkX=tlT>6Pjk;x&L~AQ4G`+mL?SZ1JWT9=LV)1t8KdB>c#Rb32m7KO{4zjzx
zF?*<jLshv=N9``Y5icj}E=V-<_r09cf30DD#GgkCzNc^0n5dhvV{pz>W5@ez?M6kc
zw6~up>5`-vxAw2UddS4QRI2r;QPY_z@vcmYTWjPRylQc*`4up&xqbSrk~OM-`h42@
znkk>%0~PBfiT90LT2ee_NE#>KIC!*RxH&a;Zl$zBp-zUJt&^JW(aO(LWHxROj&|_%
zZE+mvW!+gO^3{Ef;~g(=`b%l<!$qz}-_1U*+%|h&=j&Sir5k=fsgZJ~TkV{KOT7N5
z4NS1T`+e>mji|rfoURNDi#qZ$VU;*xKG3sy!?;0vw}rA<eE2v2?e&u;WDoUwKkWJ9
z=+w|D@07H^FF&F>kxFErOlwvZpFyD&CE|~YtsvX<QM$8cZ92Wl$w}S}E#SKilc}}_
zZ@3w!H-G+Hpb$U|w$S3alDC(U)Liy4jJ2Tzxd^;V9A&z~|3j#xdHa3q*6$66)rGW%
zZ?QH%=YK*d0b>TFeb>coyRB_#fT`j8eKS?G$mzDZ-b@9{R$}Kr=gSENfBw_L6BeIS
z5Z@P#;eY5H?kEyI(K9h;sr)eKvl{fYucf7A)F?cNum!=r-Ez^QWJW}o?0`xDJ^@p?
z)>fR{vnR9R@Dw3Ub4M#dCeah*jR4vF_|huT+nvC&W%K40-@a2Cz3r1mvP`^uIY@LU
ztcKrukqS=}an<bEcj;EiE>JQ(S)EkwRw)SOQmygN$A8<IGao4!i!4XuJ2Ga?WKfk@
z1JaV2xw%pp+NWz$BIqd9n!jo<v-q{sFTao$*5DSEmj_f$C8B%o5g#G1+Xo0IDlf!U
zjcM;TP{(ao`2e5w{f5bus<P32`}Db24?}-X9wrM)-FH?s{m55|8%x@eoTe!~Gom@m
zlB%ft&Y2Q+up8O_3SXtu&)e-|c#pga3P;-iN(P0}2IG$J^CmrAx6HN%h>q4+E}K&1
zg>u4U2DL2>`7N^9;Bu7ax1?$R*C<SdYL&O)=6(uyzXP8>e9#h6IEab8UL1!eyvx@`
z>n-5GZFR)7qKwXWdmx=e8>?fQJfR$5el`BhJW9}nP_QvH2f_2dOAYQ$mR?l^osP*J
z=?v^Fh*J3`j~eN@vaXRJi$1xt%B9JTa1_CrWP5{6thBY=kZ7fl1k44IX@gvsvYcnn
zFvgaDaf(mEL(wxE^h9HAUIkx-w<V7Q!TI;s*z3zGIcQ1pecK5I@Be6fI)D``lD5+|
z>F0XXlmx?ngkD7UT|+qwV9{zM!61)0AlnzrFULXkg(N2S1Pt_;+lUmg9$mXWyni1a
z*{e(T{(Q!Zo4|?r%EdLoTMzKl3BkeOTG>2>x79gakANWqJT)dwN~ViKTZ7z#jc_c2
zJ&Q_*C15-YRPrPgfI#DbX7Ye?TS@r}(DIGqGiQf-nj!<tljc$e;m$r?0uO;R5O$Pf
z%LaEn3ExO$JuxaGrRqv>EOlhsxeD|vlfTF=mC{<g@<(Om^1#T=feM<BCQqI$(bZ)l
zJ@;HP%dlaeMn&m=8%i}R+xn}g$q(pm&tz+VkyxTFG&OYsc!@P&d0#oyrk{);{;U*6
zcEiwh?$(=O-|&i`7Mi8c+5tuv7q0idHlvx1WGrZVHeIR_IC8*%0V1K3?wR7R0j2@;
z09J>6g-=8u`<yBGySf&UP11(MX_DJ*+PP0n>O-~0Q2c%+LE{qKiljUc*Lbe3I%+yz
zadA&_bJf|L^l0_PRa#@mmeb_m!JqF9#Kt14d+F&r)&b&7Slq)tAQ}77LjMc-S2v1Q
zZFL@ATegVulvnX<>|r^Vl!(AP4Xm8eym=2P1Wp%>q!I1hI-(7g21@-bf`|JTW2!`j
zX5q#qs#y|G=(<zC?AsL0WvLVeR7;30d4U(M-4VKuup3i#p>rIZH)x!SVSM{IT`!}z
zZ{HFYmBIkAe>IdQ<vaXy>3`ykT@IF({vE-z3__K~R8|AP%W&GNU}a?gZAzE-J2tA#
z^<8h=*jNYJ2|@DMPa1)J2eXjSP*HJOu!zsyzU_1Gg7Y%<c^<v@qMLL{Yfboau*`i|
zq4NVeJ0BU@`PW~2UVDDL=kEJ>qb^voBy)_<Z?it%Y{*0Jb4jj7zDI$p)}Xo164J(~
ze%dfudT$4zVtgzAsv@$Ws*aIuuqwN*6civ&TnRdky9535v`~>P42D6-nT@?2x15^m
z!X@wCf!NC<N@~G<0UQBSjO9o3q#HRZFbKw~_rA6!MS=F>fkG8jx~VD`Cw>PiWYc5V
zfB9DX#NG8Vp-d;K!U9Al0SYHw4IW4CJLB89$4v|?yLRa^EDUS|1jQh3^SjM&4yszr
zxNsqs+(Kgj?0>PQk(mZWALXlKQCmUHmzO!N<!W5r*Xbb<X3;Vt5!BMw)~hw07MLt^
za5%yuw$Gnkkr1F_BSgYKx|NZ!`|f-3R~J~VV$MVjtQ5xgXPUiBe*RJQ7;cqh66<03
z54&qFoIn2-yuAL$`tQq??q51rUG-@&lF%j_5o6uK0O#gSVC3xjvhg*{$a%ZPS2rv}
z<x6);Lr;Wfk}^c0a8n|Dmwhb@qy&$@EAHx%^nDBo4e7`R;exVoWVGe^Q>Qlbpt7lb
z-Xb)6;(B5QP!aO;v5UuUy@O|(boDAd0<+>mnjl(%uqEsXi@g{s`MOl;q4eP2&20o7
zKpt4UzVf@KZS`tytSfs|HIHJOs-IpwzXfp#2buA0?5dgC+9`ZOZ1{4g^cH-cw1RSJ
zN?6OZK<I!G35ADW0_B&T8Bo^4hH3*)k6%tm+Ce@i8l=08V|m)&e^aK@ksj9ZPR%o0
zW-Bt-LG`l@NSG@Qo+G;^Uc098Y|swSv=Jll`A@+rgaZy+kUL4bB#lAy?>BYJs+rwD
zs&BM4Xa4}ei(JLpTz&1*)og2~Y1fZDcj{DC!HxE#<N>IG`$}IwBP-Q^?d-U6rJ0S&
zNs+jFVSy6W0y*Zo?o5%F`#%gcf7bDX8`LT~`;E1WRNuN04Org?#)$!b-RHtV?A4qw
zEz73Y+!s?DXTK|2<~Zmj;H||Or7e@{1ImJ%KA!bk`D50cYwN$vZ|ss?cKA}HvGQQ8
zBf}dexsCPsVmM=t_b2_x0lj6E%x;#nG&tlM+)3E}_pEMB+Z4Bcy*}1*P}8MRGBro5
zqE2?)Wi|Y&so~?WHQjRTJzuKz?iyf}y~Fp&sxBels`PC(s1$sO4VP5APLw<F<yDE4
z%;?EWAH;3cQ1L5%w(!Q$52h;yD@=$<O^?g@>$~Lijf|Bq)`m=!Q8Q`y;WsT_?Sg^s
z1-zmwJLFG{y}wfO?0IFrb5KB-d;Kgb?^4zL>(72a@bRX<&fMx$<;FvIWdnl4hrDXA
z-#T2br0n)1vkFO(_w^0Zl1mc`w^a8!9p)03fQ#|tbEhswSUp~6BBxMzR@&O&Nse2L
zrE3S7Z;4JV^Pcq%mJ3MoxD@%D=AkFo9n-ZQ?LQUwIOEua?6SzvU!E84@^ntwQE&a&
zWa6e@W}cg5vcb20OVwq2zr5Y6pR7sk5ZkoN^6lTYwNo~)dh6?Z^X`GTwdIMyVT&hL
zKJfLu8{PZEtNY_a%fga$+UXXVZmO=l(AaK@&H~w8yH!e54}NRP`pi^oh%iU;`@;C8
z`8_sy_J>`f^gl8ngYs_W=~7d$t0}=D=RsB$D`Zti&DmR8@OB5)$EL{x;6G>I{5j-)
zUsiTbFN^MzaqQX)K(ZI|m@@^nO{e8a`vHN0Ra88b=77KD9J_MTBB0aG5c6A90dFta
zSH4;Dt1!KTN0~;f$QTwr|1&Qmj1U<(q-4K4BuQc~;hsg2Nt_!n6R+ac>W3&Dn6x6T
zW+=xiB@r4;R2v0NoQ^rS=C+L+zg1VmJFMkILkVORdV0~OR<KTVMQK)2hrtL6jP2;8
zrJ<&#rZfc6F){4BiieWf{yX!$Z!=p*=GzFbU~CP<3^^mlPv|l8TL!=}riBL9Y5%=1
zmO6(H<xy~hDR(UE4Gq3+jA;SQk~}KuHF&W1_cDuYgD{Q2xdsNu$1U3i(m<F=OsoTc
zW&W+`PWpwL16U80nWD{V%yX33IXQ^eCMhY+j`KRM5i2K;IHG6IrR&zkgooR$SRpc$
zF*P4`t%_=buVuA(aRYxk_zl);glubeje_DhM|C5U*{Le*Buj;zK#j+!%7QeG{S8n)
zCX6eVFTd?D2=yI|PUtw0T`VcAsN|O|d&l>N?$1iIElu@Ki6a;Rrh-yHS!kes;ufIN
zL5|_Paih2;{di5CM>F>iY1GH8P;qneb5ebjRBO?sT>3h3;?7$`!vHVz*HfhYpF!0Z
z!ByOmuwY7Q0v(&scntPYT2l4m5I~hnr}D9=2w!{_jb==ahPeZh2^C3U>eM6*7-&r<
zOnCC};oo=P^D{ZFFB;3Qw|KEHg-4N<w{x3s!OE82@EcS)K*N<_qU+a(96#PvnBL`n
z3<G>Rx<r?6VSoG~r9$}s@AGe^b7iICOXcNj`XlT#aEs($AY^z$6T=EB+rxz43lJ^P
zBiJrqep8=HABr9?3JOT^PzbHF>q(HIn$BZnM2rU9GK8~mV(P_qKlu!W_+<Evr0jhZ
zLt2xWRsQf_m~31%08M#0kUc_y08caWTJKrqf8&F<y|bL}NM+@yix(Gcd5Un)oc+)P
z29$mNJgT85(0Rw!o3M-LTv1`GLP{T?L_kDe`AvydTLWCN&9n`KPi1&y(tWNuDgv?;
zG_RL0DesQ?ityn3AOI*@T*VBwarr{=)US5z1Zby8ImH1oKeuS;3TkBK&SxKsM?2yw
z0zn0;;D8TjD7B&@b7I5b|IL;_HwfE-NfOW4evJgV{(8Mhw#ze`=b^~3P|(&su1FJ-
zH?abu+iC{~<<|FXWpPKHJ8{BC`+W>g!T!Z+lTMHRR8i-Vy%talRULgW#T?AC{isNd
zjBbc9Z8L?bpNNLvv4}OP4i7pQ6m;=6Oi7zm53G_C;L7#YMAu{5HgB?{;aj=!DltZ(
ziLnh5OBo{<ms-eh=~s3wiEEzqpHub?o*{1nrm3r6c{Eq>9m%9*ojA#7P;2#+a(T=@
zZ%7?u>j#QG>WR28Z_&0l7v|5KF=LxmirvbU($DjBDcEDT!}av2g4p;=+Ys2UiFM()
zX8b0D+0qqS=3QG9lLuK>YSm$w3=8@}PXEv>(ZvF$+oCCpKYZGh$T_uFBs>C=u0DR;
z#nlzL%GS?M?5IX0wh%y{11JY|Z^d5Z7cN=S1S+2iRnHerf`xB1eedD}led-~DlRH!
z1|ycjQBnI7Zc)a5FMaN>UAPyIg5{sO)H1or`10jTY3c7vmK^s*sQc>j>S5)@v_`+S
zwMIbtYiJi`kpA?Rm*;|Ut8rk~88+-sUzj?K`Cejm(qT3ds{acIVD5|mHx59rW1|Hh
z{TXc>CkR9)`6Cz~P(5K}_}ec3n?;*ME7+xJK2*a%DS#7muC8W-8!?zFEI0*`&+ZOg
zdSl%8;MJ?em#t>c{={=0>iPX}p<GAwY*+nYAPYXb9zT1A7u`nSW(s=3;&%=vHdvGN
zsvlK@nS&}(KLTtJzHi<P^KNMd(RII8RfVkuir$j)avZwh3$3=Zlke3lXy3jey`Quf
ze0sKmV{Pc{<HaC9bgtmCuiS`QQ!}6e!`)V~n8t~(AN20bneQ)m1r%QuX#n3xoT9o<
zSl>lB@po(V5XyhKwlM_<!<`|(FT2`wDCM`gqjO5ueSmmAW^nnaY887I+3erWJh!;=
z<F$UPG{rP<t?#N@f8bS3*Daa~^+|S88TFZla&MA6&vc&K_1Imx(K=TjhWJ*iZR$|>
zV1hzP)3DH@E2GP1NLF|y4Yzv)Rw_FwCPy*sh0G|`hWt4PBwL1B9JKR1w*MDRwTAf4
z$E2V3`nuY4ep9Xgi7&EWre0|dGqKNFUbePFmfak0%aMsrcNS?JSd>_F#?~yt{>Mj2
zuO~~!Jx+5Sd;0H1XH9f+q*q?6h}Rh&8{${|@Wn!fUCl3o>>4s%6)pFqC`i9dY)M_E
z?s7Hb`U*uov)+7vo#xTy(|_N6{=TVq)wZvaN$X=hvYyG09J{h5Av<-t<aWc4%poq$
zkN@uOEhl3t{dR7({&C;lKV&?tSNV39$u_ys@c6Qp*=55$=2!ssJEHpP;gBP~#i4P}
zN1V7JKRhbhSMQQ##oOZ2Mbjk<D|)DHZ<;&Mmvx8*CcV{DCdy<sIlfWy*j1-uRIzM8
z_I%5DlP)cu!}nhq<maJom^pTsLSdJ^oj>=H$<F?8MfKB)!LubR)VsV*SfljoohKjd
zu#MJQ@#5eSZQqeY1IK1;&$o7!k=fX<OX`%mBKZsJiXbk0+P$)6rJApARI_LDX4A};
zmV>_i`u}>gXTV<p=T+ZpOpr<bQrYFS=P39cs&>(bOs*Hp8I`|)aE(;wpkb+*f$zxA
z<yNDDcjQlb;{EIGor_j~zj7(iv@HFyhPm5fkq{D4`e|EA#c}hy%QV_(AK8`lUXRxH
zE0qa2**)P=%<{cE4qy7EVVUPK`;k+$6&{T7_|h%+M&=R4=80)RzO%+$RZ0r>T(Uqr
zzt2Q7>ma-3^E@5jtPk1dqNa2Gn6Ip?O|C`EBb#M83rtN#!wXW+U~vl8%cEHfwy$UM
z&uAiyJSEQgk<Hq!?%)3?V`Yy#q$CktTSp>7HwcB9n7c8VhqDhwVzAp(GElqLZ1H#>
ztV3Qp)v63Z{^OXzsDN9xVKS>I%e|}rH(taC>V$G{XilNsTW9<}9z=GC?LXgU+LTrx
zq+m3o?f*)%oL=*;*UzG2pFa#pN-IP<2aX^2#3z7c-a~sB&2PKbvp#(qEhZCYfM9rU
zAKJoxctu?!pu*$F3qXCT3SbdYJEN%S*Y5}^%_bUV2I4saEK+&KNT3OfY4-WTon-j?
zRk;ViM_Vzhj~nY_ic85{KKoB5<o7R37%A|a%JPiP-3JH+wSqcgp$_k3!h}sg%g`5G
z3<Ent9Q)_<z_j?ka2r*|jOiUiU78j4gATros7cKQe+ke9fiK9-NNh|OXu_^t-d5ch
z6FPb6&gIq}KXz=^-+i*F4ydJ=ea$;OLHDW?0USsZggzDhNO-uS3fqmQ6G_Q5Rls3C
zrn>V43~s%U(>lW?Am~cAVA;Ry9k~%=fT4uixaX|$d4ziE(3TJYaKX6kOLbtA`c#Zn
zppyV2Xbtku`Xnc#Ik=hm=}iaxx9pArV+_~q3*8=oGyi#zlu*#EZSWZcH<Vk+veJ5G
zR-kr%ieOA~``re}w~A|^bbT%@g@Kp)=W2M}uQy0*i%CPjv$XUsKfml}&yb3L$2Wl4
zKJ{@e0+TGNkSQ{q%he4fs*|5XKQ}kOa7hDz;>SdkH7>(iAHRsbWKAUI3er7#a751K
z<ucNUmE{^LL;*08PbU5~Rz<~KV`2wENNht9oEQS{RLpBCxjh_?S#VyPe7LbT*0u?B
z=6$2<e_-=Mj*+$XBiXP|_b0-&Luw_jQe9E8)Q^rv|GSwzxU0v=)@Od<PSiYe2XLP*
zCj)*r)_$W<UtR->Mm?@8LF?7a{ewHh66T?Ai)_g?)2{xMx=nYwdhOb)ygXZ5TS%6{
zci(sGGcN7%;|gdj<kDSx_N)UBE}r<|5OM~d+o2dt14hE3Vd+xghRKlaj^Kpk>Y8}+
z<T7k<K1_#|`zR~R{xc2SMG3YF8;bIO)~fZ#zl;>p&i+%1Fu1rm>0kymP^phpdwhoB
zjZRwqWca%?qfE{$vb5y)o1d!_cRVunrip+reLE}5aMAhbXwie8MwAv~%_`rPQyZ}_
z#@I(jrEB-@z0Yt3MNW4I=Wc=^X*=}c!>vm3N0S{bE<NDkWhR^X@F9&NI}d@PM6E8;
z)%v7*7|8rVjWNyU&6~l%iEAMHbjPfRx^y%Thpg16o>Ko}1a=PXtkieOHH5owu9?T(
zXDkmR(8S(RjEqnwZcC#}WVqm~S7}=d2y{LD7*}4VtpL@>o=IdetOU#7`xg|0m7T$p
zoF}1YyVnM0SB_FvUY_LwID8yN!nTwg*P}^P6(Zdy0E;~PP|q_3bPy*dcMr`v7=2^c
zt797G`|m!yP!f{nEb|;(LeA>7-AlclzSc!mi@w+GUas&mrFQOtfr$knK|`D6%Je14
z`oEj&7H#VkQMSizNVutz|4NCigF>yYR=?3+8D<I&Z=yQSU1*xq(@5VTwb+dLZ|U07
z!nKcNfu?jbzO1DiYFd3V$ii>+^W6Q4SNl0gdO1%t*|I!6U0yY#ySZmxh-`Lnbk^_$
zOAF~o4=!Drc>coPea_{*!>S^yPRuzx-D{dZG4hvTAybYj+f6&Jnb$Kr;p^5Xn&oOL
zN1C;-4FB{_-Xy=v^Lvt=zLi~E9N%0zy*}i-q?h~nm`5>Zy}u}hf2pldQ8h9(ohz|A
zUr@f~rhgC3n}@SHl<z8u>ZjoF4n*qX$9hSx*QTL%Es^7gE6By1Rb9MrwXVc)Q->7;
zuh$1rDF5=@`bfVua@i@Jw!N2|mb%~9ETs1U4fVpuU%RWmdT}KnDCLB=jppa=p%dQf
z<P857a#$<r_|g$A*Jes4-bsor`(xsL)!5aWlq^Q1z17)zWrS*m^>6R)hI&4}J<YBr
zWpT-{CbgLI1$vIU65U{b-+LDojP{wED1lb>vUP=IQPQ$<%^K@94=)T=c=E(MWwiOe
zn8uyHlc%;nZ8-hFZ$^5xrVEU%ewW=jzxIX3q-P3Yr>}309P@Fdo9Z`+liyF~&+yEz
zc+xpveN0SdM04oS#J4@VjJS5`c45UD)f?TnRs4FfeB}4+Gu}PkxN9!h|5x2q86)FO
zgEGz!7`<+ZbKSR{sz&)ghCaPvuwiRLh4X@-ip*h6&nspIG<Q*~TX`=t)3dR5qow6b
zQaIM_vn3cWP_CM9=*I{mAt7Nf;43`9Zr!?xVEppsFxr9+9GE2$sniH%x6LHV7Pc{q
zpYVkDPI>B%*!|Alfzd7rsPRSN4I4!kC88Z-)YCJiz2GstHKLD{Lzl5?RdHFF7L6(m
zd{m@bntT8th$e9e{0o^SU^E>Ohz){qMq^JPf~Plh5_~$gjqO&qZZe&707?m~dqsbD
zl!D%<-u>@Rq(8iLsR3RjNd?$tRNW9~BS085S<wn|m|-0B8k@q=&vjNxCaWL;84drO
z@JE*d5(H5Y?(>t`qTc}K;+#k@Y(OGb57*_G+fX;HVU65?M=ds$k@s#hAX9G*)Ip0V
z5D3B;<)H{x5V!I2V)t7nfeEwh7QBBMhSn_z3@XH&WD&U6xCU6wj3RIX8p3*OWXVqI
zk^f)X;+UAG`JVvEPX40@<0^~Q43jlqJxs=+`-rzLK3;9yI93(ABT-{o!K@Fss16=~
zN~qw4@iSBVeX8v02)2DkgkDrFYV-JxQzuW>qPKl_a|e(Z>@xNT1Rf(&?%8k<6os-y
zTvB6Vg6%ji=klWr&r&8aP*Q5sDmu{EsRn&vOD#nXXcycXk{XwiOv$war7XACXZlM!
zejt3Mmsc~x2;X}-Ik28CQI$z>9TKf88H54B5o@~+ocau$;4-%L(RpLCxLX)LhuLS~
zgc@-7J-#fXCXXkX_73?+aSS)XwQ8k;0|rX4mQWm@WN1KEum>wCci!rFg`QJ{Ml55O
zci8>5FCHVHRtnHB-y}GOt_p;V7V1^+=L=|ei7kNH#Y^(c;(7|x?b<H3J_}g7%w78;
zZbwFu{sk>4v$4!g&>#WN&Xce)xvR7^lVK2?jT<%`!n5l4-=(6>FuH2pI8V7pNz5b0
z^VadOD7^H$N3+TyS$-6}jWLy9F;w@kBKFG6c6FU16C3U>ihKT%D+B-1hYk(nZi;M%
zU0a+O)S-C1n0Ck)J8@8;jc`%vihptoIYQfm;arKhE;t5#ZO(I1xVwHm0P3`c-P1jD
zU;!9N@J`%+^jS_0$8JN(vr%TVMMT9Hv}1dWxQA!W8aRn|FHHI>brdSH|1nER1gOO0
zOJ>d(n+!z_4QC8CaN8yoLMEH5r}t~;&O^f}nc?AaufA~;_*BWjZ*Fe&EwRq!Qfm1v
zgVRFKPJMHFi&2t{F}T6dj}t5u?#Eqx_+)L~^0LASi4PyHz4bj@ecopKuLkoHb?=;h
zJ@KL9na8F{C2n5c$^KQErO&c6iz+-C-#2-AzdiW;)6-AKlHI+>!1axdj~_jD>|l-c
zRy=Is1DWH&WI2Q2aMRYU>p8aA`P?2|Dlg_{d;9k2f9=AXd@BJ{ReAso2x*y_F%c1~
z9vz#~y?gg={U*VoI|*P6Y~zU$qMEy9W*RnLc2<9g-t<qjFaq!C2XW+Ccqru}g$<h~
zN1B~xpa{+_I`|Lvs%1sjS_o={l;xt!8e%Js9cE7{bOs>oQClOl@(DlUte)-#y;2nj
zzDoY_kbr=pvS4(<9nXx!q+pV|ddGdBvBAL|(jGoM$CLA5cNL{0P!|N9QsNG?J=4`Y
zbGrWRTWoPhUfi^$kU8v3oNzm(Flw=!DZA~>U*>?qsaP2f>e*8`aryEV93^+XxK_Y(
zP*5NY88c>nq7`10PoGX?xXi%>W=5KJl>s=&rqWF=?_rnPV>7(GQuP+rJld+OM=h@~
z)T~SjqsH&l?fBEzquye6fvDK4sm6Ts<|-}(_;?Foo>S+apRBWJPnTUKdT@=6Uc_5E
zh=wVsKc#o@9LaV@%9S%>c`1P+s0)FlA5pGXuV<;A?#w2TX```%KBUDWQp&zGl+--n
zOLRRC&l@3|W79+w|IH7)39>9(f*2H9*x2O1e(k}X=f!vzWQ?Hn?~fAjas0%Ia-GwY
zwtRt~6FvVVDNpz2ojbGQ{qi7_EIQuI_nv}6Sm0XZ#jiOSX7w#EF{<7uNX0=}CvrVy
z;nb-uiSo}t++g{n!90%MJTFT6Kfi3iN15lb?XLoFm*iq<@?s{{p+kM-xNhg0&C+G-
zhjl|ZH5|Jb`5jnUDFhrjV!2vH7wvPR9?@dt+XD<DopVNnU8FpGvckCa2|V_5$<gW%
zzUZzOHPC`XwyOG{xVmTvyQPd)A?5x$<2na5Jm$R3_3mkW8?77NeV8Bx2Fi&GzV-9_
z+dDW!O<iEnewc#WfsH?RvYvLu`2hNeFaT~liOEoNfD=hvQFd47OX!r91cub+>x`|f
z$2`y-*a6=tfv`l@HD4F*5|^@kgv~Yaa9Ff`w9{1kzPFi6!BP%cKhA+|b-xeC88av&
zeRL^z#&6G_n8&u9jKXQ(;qi_-$mLx$ob^}{Q}>M|D1pJQThfkCx3cZi1>k9;Mv4+p
zY~zD<u40kP4k`tuo}x>(%4o<2^^o+XxMkJl`8KXkePxDWFePA%V^P<mC+}X%CUarZ
z`qz2*+$8#OmRveE^OR#W6r_RBdx)~Kv=2Cc;ZTqGF5JDt;a_7FMSGuW)h^w-rO>Pl
z_HLAslN0rXgw&ePPw(EiagskVL8I7VA65%P5{X^W>UAm5tM@Udf#)54A=TmM@W_cm
zfQK4!g@M-BuYfD!`o2waSbUJ~Jn%~(@1n@Y@9+TbRXQz=6X`feT2hB}yuEgeFpd<<
z12(*gVs(Dq%B+w#+;*M`sJ<|<^hX39K6J=;wd;SmW|5GeurFf*(!fX_(lSR3A-!o-
z4r~f>w<1l@-F^@GZI_nbXqQuo?m*QdZupQP)1Ac8#(KDMcpZsD{>Akj{3LiP$@c1X
z`lUz>M}*%}e9E6t`5sTe<oj#{Ce_l*IQ8J-y}14JoCkDd5=a~QarR)(%h(T4>p<k2
zHf-3bh=_Yoc8SePlD706w=}K4WAe%H8W+c7Vl?B6L6@&*gmmWYS=28lux$`c!gubx
z%L8?E(rRN<5hQnWbrpFHXtq|a<fzi_cIwoL4L6sfM&KkFa_w3}3#M1xxHs%LQx4|%
z)9s0y+jcoW%F!Ojnt`5572+N4mqm;~@hUfBUW8X5+X;B-YhYj-<(la(k!*K3$#9}l
z)@{$Tuyw?w17nudADW6^@5*mO(YpS8_4ASY8FGob-O_%3cfwpi$9)lrHzJMmLxY|<
z{u1gOrRAeBqWpaRAH|86e_WF)QPCQ#v_EFgc%PtGQxu}TE_hF_@YgHzOKn%+ZQ|xv
zb~k^}ex+H7!npB4yULDTydHG4e{rdhH}#dow$r@KUoL*lFxS0uHCamVT<1F6IL1S8
z++ijE!p1(O<B;NvVG6IJXKxk;yY$&z=3X^MI5g$_?t5F~)Qzq`_b<1%U+FMJ_PT+4
zQ{*ov^qaCS&lvvYm4)B!Z2@CSu8mgJ?l%2;MUvKqQ_;!s(@QWp)tnoWHOKU=<;#n#
z-Lm+4%cHX}a?mzY%XZV3k6Yj=#B2T~Kfl&3`;5~H;kU8j&sT){8}513$-sQ9=BpPu
z^Ko?!49*z1_=wb1x6#r2)lC;wSo8>}UHkjmn#C3t>OK9QUG@;VXZG_e+jI0qRB(FV
zy(Py#_&2Jt+HP#G^Z&WdZT^355pTP1t9h39??g;<;mk*1FnP7;y6^E(=yvB0-%q`t
z6Jcs)^%}M%U4U3K2J6%Mzj^(db%Msm#!(LVLI<O+rBKOcB1^sbODJMZ(<Vw{{o%4X
zKa!p=U&T|>JHNfSv-<QmCIUx~9C5I-3r`wFE&|ZHzw@+c;UM}49<;S@kaTbQhYMhj
zqbM(Guv#p*`ocKbF#<XyWr?Ak_@;eZzrvBsyu8UuO7^5ffHUJaNdy!?DWgyK?{+Mp
zdJ-7I0^aeVp$HI-<H>ho$ATgqD;dC&3)ijdOmt(;onxD(I0gEl;hWUeKvLbcQ1R!k
z(Ie~b?HejUF<tyQ7v_=RQW}#GvTB~bD4nF_;23*j=EYbLplkrn>daFT*1k{((8FPZ
z&dd0uA0kos0?h;v#;BB$n6qfdo@9TRU0bNXLK<Go_y+zQBqe$ECVmum9XNRG%W+YT
zl@dMBsd!8?c6RMs_~lDC(UM-fNypKZIPZyp53{Y%#>d!JPH4TwlURsl3OH)?LLqsP
zSNYSk{_*in;p^-sSdc*U^n9;f0|ZWVd3bd9Zc0u)wzt-Agh@4!K|LJGvuEuc9S8U7
zwS`u#pDs+i5wdt`#~9s8a^E!*n7?1!!{bQlDqt;bV{LtYr0UqQ1htgqYr>hf!@@c!
z7Bl>htDro3G~1J=LF^J2RB<W9J~?Lt@toN8;^MNIsFMiZ2$blhDJ5-A9nC?vB)Lg|
ztB)y3HyLomHzId(Yt86_83`^u^XJS#@^vCiEczfsa#d;N&PSbOIL11~MT_#tY2r{7
z*%<S8lsWWA*q?xd>JRpG#<&2ZX&4q?Fz(<rdh|LD0{@n9$em;$d13xTN*zLwAdaKU
z${bRk#{cNGbA&=vm$pkBg7C;C==jx@);-OiHPqDsftlrO;PZ$9lKvEO1tjR%lyH1w
zk&MAy9%5oL;grdN>0&YFT3QZbcMv1D5hF&><cjhd@@xc_KMNL&V?bYWTO?>>yDDI#
zKF8ok!rqWVZnM*kwjyx4m68~q8yh_Y5Ns~p&X?%r$4!_}`Qt~Yiy-LwD#&op-c0{Q
zHNa}Ku0G(^w2IN?Iuxr9tLRLDs2A`4b<LMi-3=rQXSY6(+CAK8esN7m7eDP6s#F*%
zcrUowz7mC4{WTtO+PUiRL}0x?dNf8=wQCv;i)krggIXl=!0sO@xbBJDbTT(ktwB3s
zDviRNYCA|jJm*!qTgA_dsd@bDK!K|)lhfW$G64fEo)|Z9263U>)dS*EOH0d=-fKah
zQTu$SEHT{ygD1K-xT)x2AD@g=U4cWqCu-`vIdj+-AS$$w+OZiJI3#Dg`SqU{tY(|a
z&pego=ls^S6M?Q1{FU^lWfH%B+(q8;c}~vp33d<YE6KO?Vz%Or6Po5hKE#q7Gaj$t
z@3awgH<xEXMx_g)E?m#<I+kX#nckt?YKe9_N4lho`Og>|BFAMx4N0jbt}fsTa-LbW
zsi;;1XB0mvsUfPWYq`ksSE3UAm%LtiL3!+0!{N$HLbLAO!={ucHZCN@nxM&}no~Ys
z+wJGc8`c`kwRLU}E4{t@^`N@iBqFEZb{Fd<9jH;Fqn2@{!q=2R8|>8?`JMDp3Op)O
zisNwO&qPD+X7scxZq+|8zD?WR)?sWrV$j1gr%p{=n>Vf|n1W6+qh@LyOk&nwoQV31
zb-}!QRMB#68|7f6o1+fmzL@{?sfZeJCtyHSeft)9=lnDOvy&&u7^S@bMch7DT!#cf
zq_BuAMwkm+NzWn%Kz<S^?3-LMeC;&YV}Y@8*qJYEqfoY5;Z1=?;Aq!}&8txNdlhln
zD0mF@^!DiuN1_mX{=3cy!;J+0yMO%nnbow-aY(YxJOVfspO7G0Vp4-JJ7OrbYVBGN
zT6zEs9J=pey!gcVo)i?w>$uy%KTU1;s!7j8t3%lKz)*ve56>~*qiRo>h}lzl0;~z3
zWZ23<BDIRY#e_{It4<2hqK<`yg~I5szY6;f9g4WRXnJz#{LHsGZa-69Yit}lGIC)*
zR_$#lNF)D<4`_dl`LU}RKA?}qiXr;)GO`tx08>Ch=-7%x)dtiKoH1t@A$aPE%Jd0e
zS^U;p`}FPmnavwk6NsR+f+;iNDd$E#VfY9e=lqeB=o&Hft6I+xlWcWi$*Y8NfGePU
z47tLMSM!U2NI+1y4d+r%qWt2U@n3OQLtF~y8gNQv<}cId-`DuIo|Jy#nwxRsE*=S{
zQ)cJ2@*7&n22NY#0nvVlD=RN8PAO;3)P0$r9{%L72lPHs{mjL#yk8DWuXsfs6qB4q
zYqKx*`$Fpj$8lfnW8Wm}Ha5#lAy%ng+GqV&16_4BwH|3XYb=~TzdmU(Owd@rQYUWZ
zm%NvKc1s?7Id*r_?OlgcBsZ-ah6q^}{!L>i6rOnZZe#y%xfu%Xm5ocpvPs2!Z*%VS
z;aX>VO^Z|Mppwy%Uhsg8&9dju-cQqTh?;fwam3e`3gb^Y4-+hRG)S%-b)Oqh{4%Vk
z&q5Uw+f(+zLPevoa-7W5453%X2b=EMPphO()cPhn4_qRQyccNS-?Gtr;EC4-T0Y%2
zTgzB%ez9739N02lBWpsZ6YhrJBw+zL`H@kzT{rahJAO^Yd;X^IxUZ(0W<(i#yzA3X
zPpV9FgMsbyhg;i^+w{G2fPCnd^sH4k?6n0+=zJLqU6mVIXZPr>edQWkFEzV^bx%L9
z=$Gv#A3S84`B%N`K_STTKxq4sBijixwd>4SS5?#@y)wplUD1`oSEpZxoz(KaE(oW4
zc&`ZxYWH~1_=`sZeE)Q<&byv-&Zb=1Lo?@8vEv@WW&VA4+swPC_vRli{Bf>Uak1uw
zt(Rr|OwKx*drKncuk%_qYFcoim2u-B*DvyG0(^HHnw_`#+#>ff;gYPM^kBui2UZGY
z^Cm<O_AmU+bM<PAaQWMd4qH@~5BR40t+v^GI?tf?|5R-9aQ;)|?{Ow90RORr6kZEV
zamJ7U-SCZ@o`laeR19G%htSCjkPd7GF^jC9L?M8o;6hWK$&(i;1YBP8{Og>K%!oFI
z)a=X?6G%Wm`WPTcU{0#Ix$--xS9$RmvNQV)@CgPV5g1?Ip7G$(qph1Zxh=mXBa<?@
zt*Tf^`b2Nf&Pl1IYu0E&Qe;L&OT^L|7-cZdCc&{|9|iCaI5?tUkDKrOx<~=pVO|ze
zA)Y_Q*7J8dk_}a3SC&tkHjVRkZ2Ss#kZX%emc<PuprfMBn&m$NFfDtc-}&i^8&Jv4
z;@<=PQm;^e7_KFje8Q`gYliDQigGT<FCwiJRVdNgEaEY28`!GM*92BoGElDw>^u(<
zJ_@YM2?^d4{{7|j#Gs+q2z+k(rjRLN|K7dLPNohC6lwNU@;Fv!W@d&PgEU9}Qx95(
zr(p8|wFvmwjJU|W8V?>|Hd^>^q|Xw^gbk!=rjL`><j#Y(^x%O5Wik=z{M}|h-$}of
zw;_Cla0>1Ye01g9yy(J@A9D#lL@p{LCJ!2`9#0Pv2mSop2Wl)sg{Uv`|M`~4>tKTE
zx|V`gHL}p)zU>6vIb=7gM1)oV#vTAiZZ80Y`v6fLJ2oJ|VD4NXk5?c%bS`WuG8#J*
zyYexukK}66ByacKM--){{^wLnn8mPPV3aiWO+WzXbJ<hiK{rDb<IYgaP!-zS+Sb<9
zjar#4&^M@|BtJYam;8h*;XN8^o*351V!4BH@k)Tn61%f_>p(I@15W|TC?$uR1{!et
z@ngj8tANm;&DBhhmI?S+C@q3`0UyN`I({X|nj*_yf$hCc>D#@3!k9hG&aYg*{w-gJ
zI@Y=P@jFBW5H#_ONzS`Wy~s!(6pGX}$>Et^FVRmK6Fe%kDF1=&e1KBHZSjs!{`#p$
z_wMTB$M>DG$(9QTdqDJ(u~|U?R`}<-oI9r)fT4h=t)1>bT@^Jh0J%YmMJ|R$Bh4DR
zb?v%vaIpDxFN#{}nO*y<KfHJE*EG`0pi=RnpVsy+gNod<OPAB4AO)W6{(UV4)3RkJ
zi}C&XO)L!Mb69CU<iVfYwy^>y8s<c9MzMUK{{63if4N3pnnw@B2D=!MpgXyvqQa9Q
zZH>_&Fv|co47?qtqEa%_Qi@G*->Rx!UHA4jjX}G7K@UZQc;m>gkWLZ#iQca~&&+P#
zeg3?f?Oz$53zmuSk?H-KlZ7|jA$ioO^%OUywKaF5d7#2ZrZ%(9%$}_Vt_dUSZD90`
z&=LEoDd1&P>2Sp7jR?GNE1H7b%J?WR{;m!0ZUR@e>*;?DoyB(gtLf9Hd&cZ3Esj{c
zIO@Xg?rfU*t*u2p3on2=Nr<ZI{+;Jl07%)Taf_$n3-0~XX;uIWsi-NA&$%4-fYj=s
z#E($&`?*YR<OGUqm5@%bCm43%meO1UD<@L5zkJ)<-@SLQc#p<gp(m7W#t>?1a<a0L
z4(y;#pIabraJ#BR8O-b0k?yd8#8?PjLBxmv*4k}A14Gf2<Dlc~8_}^X7U~g2BlSFL
z-|aL_8J2ST^aplm%6=B5E=K3Ch9=*1suWP`n;bXw6!=nfqC`l65V<fg&(AkP{hxOM
zi{r5y?gKXnI0~+XX~e$JP#r4FZ{Oqb$u0Wr3cDEQ4F_HeJ{lAp>{)T6Q<QgiJ$-$w
z&P?_UrC`y~89ZHk+Jn6?#%`W%-J=Ro_#)Sdhnvj@r>I955`4)%wG+MqDjtz>Pc28u
zB86Av4?Gux`in5e+qcbBZ=h2nRaM2376~Gt0}!AmybX*{ik$EH{UKVp5JxF<QmdcL
z#kGqKQr0Xhp@YhJ@ZhxZXP8MrrJ^hc_>1JU<R|9brMZ>8@BjHC>t`?glTSDR#J%J2
zHsJCG1_sWYF++Lb<J{aq91zZGuO1O{r;S&`(xn+;KrGgW>t9b!KLh*^<zybprWxj<
znh!ZX4~I$+hH8vw&hdpG?7#p(1QS%A4N!9kQqbl?gSX_`+W7hU9&Eiz6QJX87f0dg
zhA$dno3}rp9}YZD?IzkxFp$Q{ZpVvjk8zx1$ce}p`Idh86VkDZyZh`}vk(?8im!wk
zPM<Z7b`ZWv&dZmU2zBn=i=Znc5p3jLmM$$=k#DG=&>GRQH=p2f;*`jhJ6=d7NIF6?
zj~DB3+7#0<tMO!qe2U$Jb!NygXx6>v@F{qiF2<QJt6$A5Np*7TJBi`3W5Lfpf{IeF
zy`Jra7f<*8!Joy~pg&rx)PI!}{|z_%*FW9x6P)KqPfNAlo&Q#f3jZ4{_TS$2gvry6
zznSN5{$<@PQ)}ym2ZW^smlp;!eTlvz{FQn2gw^a`?e;my3nP^$_I{CIA7c8Y;<?2I
zKgr{Rvn9*l9K6tO)yNc;xbO+ug4fePiF*CwVS?t^$$o3EtB(>Mz24aCMc>{2?R*>W
z=-bL~l%A+lBAu4=HR)c-fiqGrC)UMi_4JXCohpo|p8wm6yy5o3`pmDsWd&oKO}|d8
zU)){@F_AWP?v}RK)gbt&$HYiYpVc~zkyiFq<}tcAz3+tUYx*@?_Mg7eLNg#{L!X3)
zPQUE4e!S3D=a_TPw6PN#e9!q!(lyAE-?BBn{WyEQGxwCYmR!m{FZ4d=Yd+{(%)aR0
zt#J-p%?0(pR+ik|Zx_>GsBY36XnFWury&s*mpx|A>>`YOaL_&@Ln!z?MC<0`-a^>*
z{r3`fRmLrMHFFRI%a@gF=L{7ljSIG)7#N)3Hs<0lJ+-4hyvto&x!v<s%k3rm+6#a6
z(43RfP8d;HWdIhMIi@^yWd7Z~nWu$z_AQEWg)TFS_PM!UF@9v7c%*YdN&Go|P4D<q
z-F$j<dZ6>$sZRrp<^0^-ulGNZI-~eqH0$M3RpU<m72oM%Wx{3!&2{tag|V-u^?b3W
z?<|+v8y=^NJ8S69SpMVW5eLV4Z<ic@tDL8uKOoH~vhwNTV>t_^#;SxjuNtXP=MvP#
zr`fDQVz!)(T;t-xbcDv*vyHQ_E7k8h@?cu~V^SYJJTNSq89S#$)7v&ru)VKy-z2GH
z+AYK0K2MexwCMa6*Qh1z?>MV6W@?gfB6@7rF0=H?(D=rumWPIAIjojS`?Im-vZ<n*
zdqrqg?d^!Y3L0A%EEZxmdj~kKD?2eD=97875T-ODBf&BrPF`2n+_YbO%JO$BD8&YP
zPkm7HP*@ed#3L_CUeI#sbEUY^tHe95aHN!MhO(DhJHd8!4{y1nmhIED>m0isdUane
zy+<!8!DYevbFV#~#0?OZz5me3X7+(D1=f*`?k8@RTYQVYxIAxH=&4^9%~sBG(AKJT
z?a`yVP~iXJtDxHNf%lKZ7a<)ks-H}}w|C3BsP*;}bMKjirwf%2-{?MyXzW-~an`>@
zM|)Sz7oqq-M*GRZ+45=8cg9yb6kZ-58)TnecOq|~=P)5;qOC$g!KFch_4)xVp%2n~
zcz4No;Iq?ySkU|!_XMf5D>dHjOpcBInCY|A=JT$%e-HA?(YP!Oxu(!^ATTel{k}>4
ztnY6esu1>@d@I626qqEmCcu9kR|9c1_kTg80b+;m-@g5qni%H%Z0^i~#t%!CT!<$S
z6X&dBQ>v)DYbHzkfHjD=_e}ZR+}w!jFf?J?*5nPxPY8M^)fSZ%@D)-gpdAt)?#;ou
z<&RJP`N0T?IlA9hVm*J&e}u7@os$!f-MNz!)Xn<vxh3m|dbFDjZ^Tso`wWJ}7@bk5
ziXtB%S<{&hX}}c%NEedCasScb1jxu{2b#Zk{|PA-TkJc2{L6<A3!j<+SpE3%<GOQs
z$R-`petBczZBm_A!xs%I@g)Ct1?&@Ca(PvN!cnH^)Y1S8e{J6`B7t8G#GM|*W9gH3
z{yV%r`sR9AEe>!Mzu_dG#Lg%X8{K7;KfK6;%&;{;u9zEP?&;C>ZlIRi1KSA}2(tJq
zye)9<5iwpAR?ii>D!Aot=pdp%dY1r8;N$)%eO?}*W@2pIvBw|}On2B`Pf}>cH4A(Y
z;w`CiKhiYJFi5l1+or2umH4+?3M90=`30yWDTjgy6p=+679#>#_hn8kzvj)+*U7GO
zJ}8NppEK5TWA`Si=kER0yH4jmOrM?xDL`eC1yj2K<*t2(cq@OpR-U@}q$yq2b+0C<
z)-;P?AfFx{-i%QjUqtkzKCbzkwPVQmCr!Fcrl)E&9k}nVXZ3a)^eyCLsFXTLez9rA
zIGKln<OGC&4R9;UlDze<wY;B2pZNO9x}y-5Q&O~jsJoEkMmplTb{$`EsYPrs&@4|L
zCXF{UH7m4YssN^{2~1TehI8$LD9y9~+`T)4hU<3HW%h&6O1^&m8Z-|yu|9XPqZ%{N
zF$PQ``tlZ7loy?3W8*uK(p7F_W~OfUAgH#sC0Xh;(#GJ9R*<UBPZYOIm4v^i8}g^w
zEnu|>WlvEbYxghljPH`G9%)|3oC`TSNE%G6ldr$uAE3Ph=uoB5yC~S40p~NWFQXoT
zuCfWvjmoo7kW-xE;xAu4J^S?d+Kq~0g4LsdW~bDdLw(Jj@@*tDV~u0hGB6P9VCC1@
zOLiMkkvX?Cdy4OqQfXR5mk;{Z&4-CAjqUT;`!qkw58v*9r9(y1o-qYRrWfX?QQ<$h
zcTX7dG3kNGPJv`5oIigaj)Bo}bxbS7u>u8;z_KEm#B<3te0;UHo<EjsG?@<Pw%F|O
zLS;2}wojUL&dWtoy`^<HULA(nTKg05<&ugqNEscVCl0!=?mboZI#F&q2pY3<(`A8-
z762xNMvN<*)`tBBJq;qqqEu-n2_2@Jn>+Ia$*X(P$t!&02u8jw90Rt&eA_g_W=)Oz
zNMU5|2h)~gMxSSvMJWW{A2I*f$U*ymuvFDdM^K1r1K(3dazuYQaq;2?X8ZE$&>(%4
zE}K?OTc?JlZ08dYUZak(Mh9^AT!hKN5e~L?c7EIOAseQ`;AZ!!cVE7&gQt`{YV24?
z`Z0m2R(d~oQyv?POnx0gU%?FI$VRg$uO1x)k@c~>(ngb$h3r#wFX3TkIy;qa%F<c)
zKL!oEm$Lz3c_I!_0g%zCOI4MXF~Ge;CHvO9#ZxFxZ8*=hS@IW)3>fuvd`#5QSNX{c
z!t&%<l3&07GE5m{;Z5VgFO4XxuM_)n9fxGGFE5+@Y}Dw{rd2Pm%#O;RIn?Uv1}Ps{
z0Mzzh!XQ+Y;#S2GVd?G_C}v<ZFKcE>obI;HLU!NG%d6#agq|lhjJ4n1bF8XsY5?(@
zKc5X%$5tL_sBn2@QcsP*_Uyimy1Xq++=`QH@C+NAjmE~ZK8DlkPEVEEz2pj;aho!B
z6nD}$KN+3P>@DCbG&H9>F$<dpNelGhshf(VeF_Q+UhV)#$mK6c9Y+rxVhf;{K;lbx
z`j&JEZG~goZQQcuHJAs1;&%EwY48x@Az$4%^75D_l`%swn!Rv&8&inow=Fdy^%=J^
z)EBUVL9qHgAR8D8tM^MnyLRoiY*B8$dv(^qLa`OjnK7`3uCej{MJr*^UvsVc$PXSE
zYtudL?p=GRgz>(gF#Cfug*E_nFcRi0l?%znyXX5x3~GDg+lj7pIt^tLBNt9xai=RF
z3fJ~5sSP-We%J;T8lh8!rING`SZ%x;?=t-D3J2pzrcwMXR6r(Mv=wHb#>(tc>Avtn
zsCoA?zsUC|f0dSwS`Y@=k}#M2<E?vqvFIa%btLeTNOaq~7gmJp=ot!O_33T5ZaH^`
zGe*97$!eCu)b*I!F;xLEivjB(+lec#u4CD3*<%?x7+J9TV6z4AhjPRGqEHjF%ALt-
zzy9J5a8suqiE*u+vQUh@Cjao9<qd2fhLh!g+<V*0saK4{N$c(+^(79bqcgvIs<YI{
zYuIjc;9$3-Tm#|pPr828huhc+WVsDx?H^rMyW;%o*Go)ZfEj`1wO^XPOWw)C)l6&D
zX#7*2NblN|J}iGtwj_SWf0+=~82)XZ2MNj2vR~99uTGC~TnOly^@oX}(b+L7IZj%=
zShy|@oB|P<VwAB-oU8H`s3``!{`kEENskO9AX}^pa|yHW)LQk76+L%wZ=C*F?X$dZ
zC9Fe2!ZWvCSi5{niX%*zTK=x}K9lA=FYjuuL6DuTt&58byL&AR4aZ{bLVKFiRa~JW
z(Aq-KTe5lwO+2R3?Gcfr4RZ(Cl48T>QxGqQjwhn_?woOw(H=~h62_P5mrB9eMl^3V
z@g!K=T-zFh1f5Nc1ObCjEt2X(txZ?;j0IMnOLE$|d%oE{=B>InjOiQ$QAum{EOM^g
zP!*MoTepUdA8(`_EHY&P0&}`fz`X<@R7igOP1@)mE<j33wA=L~0Rh>tT%?9fo7PN2
z>EOobx~DwGMWPpDW*=qK(wRn)6jZ6;Ktk`a)>coiXRxW-gHS`%LkIC0SdN-t&k?!o
z_pKC@>@GLxX&*j}b~CC2(-K(e{_NXd_DF+-Hip&3)gr@6`x8^=s1<SoY^@*F)vOXa
zcjd}=Kop5mj!4S^j$7#2lw3ie*>#)Q??~(4E=2tcIXPE9eqq$songx0sG=Q;4}hZ>
zGtb<Br@IB}g7^Xb2NBuMHD`SCD<1!@b%M6zafH#Z*iHRe&IT+fy%=uJFllWqt%Wub
zX2XWf`g`2?@lxZEuoulKXZ)R7Ti8Y5NPfqgbwwbLD24<|!-rG<GEtOXJa~?k4lX?_
za-LsTDTNYnHBgJfmU=15d_N^akN)cO8ovx<e>5>eO?sy3=<Ykjol6vt9WN4ZH)eV7
zNv_FV41Z_8ez>Uf{Zt__9M~G>PDcW}3{GEsH~mevKz%|{rTg;dY<RwrH)t8yIs}2i
z@RTUif^CK+z?KrAWP#y24M>Nt$|Oug6sUzcIn+@_#l^KCzwG6xLKGw*h(cdFvuLQp
z%hSopui3i>qAx%?K6d=LO3KG%P=~?;mD2p?bop{Vw7<tID{wU~2IfiZV-(d|1mW++
z*|={jOq^InrT|y2;>!uuU*EXj->(>z8Jd=DVh96-fXgjWQB}3Voo#gPJIazwfR}Cq
zr&g0zC`6%&U#OL9FQe_+hEqm~-d_|2^3v=;3D<*4v83*^9piC`;B_AY4F|DH2>vlV
zu8|sRAD_4Z&%t!?JL{)Lf;a=9xI$1gb<+o5SW;nD3IWi6BT~;NpD{pEetYJ7VLN}n
zb7%C{U)jw11g&qph*T?_Y_4~`flVb@p5SSj>fs7FPL;Gnni>mOOzZ%tj2x<zHdjBx
zuUE9-rEV1gEW^VS!lQQ9MURIx%OyzVw$exR++3^QGGT_qzyH{iB0tyd4~RfY*uWf_
z6v_J$NqA#$u}vE{9)`4wrC7dOX-s`Tk@U`BxvHjyRFg~F6C2xif~_9p!5!E8J&T<)
znk31%e9&|}y{uh}f=ec0^wq#w5er#^qaO<kpYT{lE_A?soSpzqo8pKO3?0m-x?hN|
z*X||jC+<l31@<mGcEeuo_(0LhP6>RUYinH)9j3dN`xVb=!_?300?O1?f#%vTv(Q09
zTHptYI(%?j%eJwFr3Z7^n)R9_)4LlWp*G%iq|Tg(9J$GEq+tK#prxF%sM)H+hf8X<
zZEGX4X?|n$fk(l7Ju$HT>}tfurv1NwrQz|Z_59t>S4f}#$0^wVFOZebe1rbm%g=rK
z^=(yTvej1S4n7TMQgpX|nlj4A+3NhRwe$T(3!Y!B0tQYVZJOD0@yDs{MvihE66ctu
zr6Sw^V{+Ir`Q9G6Glx%G+_THl^oQ08YizFc7b?sB%C2m26uho<lBho|b`o}unJdYy
z3U3gq<2OsTrahY{WCu<xS}|#ye9K#9_kn4}Q+7(OIEEe&z7M=QA}%{LT&luq>8Pwn
zE+Ph`;BNEDPH?U~;=6Xusarzj<pGjhN4NbY8+}6#sTx`&$hLe<e%x{TSS8nEUA(-7
zrSn6pDjnQr2`9$ttUs){PB>J0|CUOA>_DFbM=xoG+zAmH?XC9vt4)!c9(g$Mo>$}U
zu4%8DJ_KvNJR^)ec>jmu=a3Y=%M-3i4@r=unjG$MN3fi`)witu`zu0qmkYbs?zPqw
zMkGCoa*vufLbGduM}4${ir2Xo?|HY4Jo8>H9$G1P&fNc_&^>*`D03CZAwA})ydNx#
z92@u}EMG_)xWq8vQtq_wOTQ#;Re056H(L1EVdsb7@Q%WUmUn&Eys~U`9~C`uQ1bw(
zAyo&$?1e6cO9YSHC0;Iy-8^#2Hr3i_NEB2)N%>@Ht@kU7nc*BT?pb1|rHg08-YZ$P
zMrvQly_RDMqbn7Bc7)#3`88>3k?<)0f!qtPN9Iy42AREI+;cn^v@<v7fmFei@QY8<
zyc(iL`;=eF(2-Q_bY6JrH^J7f0Vpn2%W>7YV+K3B2uotx1*qL`>Ehz@q+NRbR^j9N
zgS*yRHQovwEL>b+Z4$8RL{;1o;Xu<UoflWWBu7|Hb6Dgqgsdx4^7-Stw(w`_)fg-L
zHwP<C=Fg7S8xGhh{3KSMTe!GO+Rm!(yUN~{cZ~4+u;>0Y-NKx`>O$%u<@`14V%9rY
zN{wt;qwaHV@2TJ}{?@_X)wk_!Mg+DfJbwB}YJu`oxfg#PG>~d^YCeC@OYQQn(?9-s
zKp|RjREMRjm&Q!<`MXo)u(7GD;XC@RRS_we-}igh-BwBv9%p{so@~*qEzB;@&@tJ3
zv)TBoiHDP+bg;MOOr=Hbe|@FWveBbpnX2r{*|!8ex0Eq)aZm3`>Al>#Z}4I51}TsI
z1Bb+!9hfDoe;pKhEMwMb!DrsvPZxf>*6!E1mYHwAKb|63I&LxBTaxP6IBdm<Vdav9
z+U`Ey8TGr?J}tBPRuL`h<M-7-t8q!kw5uP&mh;Z4vrjq{b+)-5?Nrk7gvawSu4eTW
z&Tey61X=ARb*VOq-2}zTHvz#x?WX_H*nj$ymmP(!MLN#eQCcOJ?>VHr=pqdIFsjp#
zYt0pFfAh4Q6l7n1?|R=MIn7zV2aN?i%M53;CpYFK8v5OmsA;OC-jZU1-@a$l9*?uq
zwgy6<k6Ml0#-v&fZ5iG7z>t=X%?-v=eJ-A8sGNW1pp<W=j^g0@qWQwUqeC5|p9^Vq
zH#H<*?P3NB>pwU6o%4J<O9<Kh;Zt(3U3(#Nb*1BJ2m(Rxx2($5vrSL@Q0Mfg{*U!p
zjk6Zi&x#r1R-!G)UXlr3uL$}k_dlR-VV`aQ11O5K`i+}6o0yFL4<O60!x`&Yv+htZ
z;XKZyi`I;4mKO%V<H0a!a<sk_Lw+BvmfA@~jeJAY;KpMl*7I|1Z7qmIL-;{!x1^z_
zqK)^gJyEr<ce0I~7kRm^wibU2mO@rU-e!PsuC;d3d*4KVgVcFf8S*(%P~Gc&qzqFu
z8YKqH>AAV+UMHxilu|KT(@*j{uE7?E0jAQd{=1}l+xylDVLwN)L`L?_qN0vVnR!#b
z8fr#3^u?$N`x2%$wfr9J;!jh+!E+P)CQ9bpseGnybX10#^B}9XYa7*#R#BlcUn2a~
zePBKHLi?*!6I5xTTdi`!(3h-E#2OjXOi4XulHoY2bo+m1i0hbf!f+7Yx_%l+2M-QY
z@a{;m8xwapq8Be+diwM!R#H8rrIXl^WE#xG3Vh{LY3UjWoj*5ki{9t7tV~~2%o$}u
zxCE+%T>&f4I1(j0`U^(>!!Z`0)j+Q>T$Wl@&4HAcT&Vq%hj7H;p|~lJ+b5Mwm&^CS
zJZLuCkl@>y#)$Uhk2K4D59|0~PJm*(nGHKI63Z#NcRb)SRn*jQo6m)vMiov0MpKKQ
zDUI;dsg*6JV$&&d0M`8<H~`^C8shQRrd+&C6_T@dhNRl#eJjG&@fs$k9v)gg(E4Tv
zB{zJ%CcyrJers$RO-I<VLkDm_2iggU!;nFu&0^v%Uxo)<T~&3>t0`$y5jKw4+%QNt
zLjZ_L3T#O9jfMsWO;kxDTFk1dq6grg^sjteCReon`V9B5H~{R$0tclI)I=(;XXQpr
zASp6w)d9|=mO@^E>=i#%ojG~`wmJE@*v2sddcEXo8O6VP^(r4(CXW|nd+YERIv+YZ
zFI=|4r;RFE?2U&YFV-|O4_pUpY}bQOc0bW@Dazibpyl`WDuT3%PW0$B&!pvb1Jgta
zRF6UDv~cNig$%*xeamg<R>kl&VV^|}WtBDFNLGob;gE^%2HN1TWjY6LMVlyVArCl=
zzV?p+UB$|D22TXevclv|AM|#_Z?QvFVFWA(I=8p)#Exme6s(ETUAA)NnLhA0Wgc8|
z?hv`q^7sNambVcJE=;X~W<jyeQ?DGL7iALaTddpKfCZdE_TjCsFYUwVR{7xW=wc~G
z>t~+)CF^I4xC+YQE^A}sO@+5R8*Kty+rM8{piax_v6iBj1Hncf=S`d9klXUyT)KpC
zs{IC-Mfyj<x<7%_BB6W(^Z`u8&@+kRk&)zX&3Asjzb0@02~KbJEB%B>k2-dAkw_61
zC1~mCF?5hLEm6Dkm<2F$U-;!BaYo^!OHDo4rzGr%;r@)DOazlE*=xWP=9cSMtQhvy
zNo2ABDih;?VPmN*nRT*&IiA0tdP+`4JO65{PAFj0=FK!EQYQ#Fpx^e*(G;TsO0T^G
zri8sT`}WtBs0RQMx--5#Ow?CujKYkI#uJ-#O%Poi4$g#!qw0bYb9f%dPD_*#<$Rv4
z9Nf$hl~aPpKLCEzd^tEogIeSDq$k`;E|1gz_S$AviWYNlB#cguBa}RO04Sw!^3Zt|
zYstZ*M;E^faW&;r6*@}u#Pi$EUo_ol<Ee(2jV+7f?o*NFV>FXDZyUu-+JDunIe-`{
zI<=o1H)V=N?49#vm|iI0=RZUiNsGcp8ok+jp$(1#_=t`!;9YV$FFNdEpdGqmwq$r~
zC4JhJE}<C@sdjzfxtx<`2D~8Yi8a8;D}Jd%LfDyw%1)a%%PA5^dSxBH@F>4aFYi$c
zQsy^v+n{_#WKW}>H_`fbo|#8m==#}5>s9ek%^DFX<pNVbI_fEp9K@1^<9~!8G~Kc0
zrKt178A0Iepm7WsIcefVIsdCRka|cC=U*CHSR7V(106cR_wT>YE%@|jk7+#(FI_<I
z6!oNly$(8@j97o%vm+e_`}tarY-<Yp9G-Ut37NnW_+m(Dra7mLBVDF80p?@%6|8|1
zOFmzVtbwu)b{VTQIj3LfEn&_e8PLf0IAtX&C*grd&KuExg6%yZd3eh_=m^f)eOUq7
zi!EiNa$kXoJ2*P_Sc(J(s)@mzIrlR&@nyb<-iLfik8JuUP$&yJ#FZPw;y!Y6Ra|E=
z>H-$hr!(ggKvIYuR?laWM6C*DmWgS2(nHQAccpuLM)?eeDd4&QvCm@`YdDoG)ODrr
z{1=C{9tfWYd0lqcj!mNKlgNXBoF)%FXPoW*{ZW4f>W9N<1q{IKxi6ms*S%gx;mbK<
z49ITZ95WUsThMePJO#J`Tr2qz;9H!2qg9RB?bOxb%>i<?0C~GJUYcGAV+f{$`xlEk
z5dhQbV*U&t0hmsC-e+-S0hCaW<lxKm3mEtYFI2|2ZX-P?=M%-G)0Sp$g9wf$oo~gD
z9|=E4d(7=<_V)h$w-u0ZxJ(Fd0Gw0t{W}vWC!l{UsYT~sr;=U+26zzQ2@ZYW{kPnM
z`|;1|UdHHwSG0+VLIA&TX5w(hNRuWlJPoi&+q^LIcf5BIn_{FKF*|oH_aOWYx@6Nj
zW#J@YhTDCZ-PmfkhA6lNZ2UiVoByIQ$bQ?JS<)rnB1<OulZk6x|3K&H-d+<Uuj$Qe
zcxNcg?35t?!a#G(LT|}LllB4klFTE{1Qt7Pp^{WN@0BI({!yb{ftuR2Coxyl?<fRp
z(wuFegpNrH;%Sssgs-~VCBY{+u`zbcln&{_i2udgo5xexwr#`bqL7MYDiWy>l~O1&
zRFokVna2jRqKuicx=Nu`GDS&5nPtq7;nHj@W5y&h6Ooy3JL9_V`+dLXdA|4i{`l4(
z_wf5^t#h60IFDoBw|yI&rM9InKQc(Hn(r_fzjTMIeq-^A5HH`P?uONxuWvnmESlbI
z>qvX=r%U*U$5Ni$#W(h+`V8oB+d{gz&B#=a3tuoYd*Oro<NMDK423t^64~#*ayCZf
zi|TN-(NlPc?IvDFOg-uL(N2DtOL$e)YexLOA}K#7TUxD6BectbrBS)8^Zl&FYb_#^
zE~o6AQa^pMypDnC4A&q*@EEy@zV#+deI*r+k6LpR={AyGdIk<e`l~~(*}kg@y^gJ}
z+2@WDLV=M=U7wFql#DOz9G<F_aV<H?OpWo)J&+i?T0Z3Qwy(Er;t8>W&WY9fT)K&k
zT{)&xzTGYRSgDVlp%)k);~<PL@XHzOG;^Z+q<?hYSGB=&wfy&v&82#@Jg$%Q?~4&r
zTRHe`5?olRcVd*<oUAqxL7`<C-V+r0Dy2?8r({ZtXm)a?G4UX+YdbY((saDe`k+T1
zMJaP8A>O%2_lh}3@Os*HyZeJi>sx<y$t6)v?V%*ijA{k2*YOvnt!>nM*d-V|`9V{0
zE-YzM)+6hwzrD`g0}EwUm9%`W${Qcf2JQ5`EMYCV?1`4p!WWMI=4~(Q-pUZm(*^i#
z;v$w4U8C8t_iqp}`dWprR6gvOGT1WvOz_(`7bfa=iy`8}$ACykxBZF9A_1?yEQfjx
zVy(l}?nkceW<<tZr^#jujplFPkOLfHG)R>9ZV=(sP`y%Y7S>4c1<Um*p8dME*t3<1
z-)6R(kx2hFDyp13@s);8+WwfSm)ImBY@+6FEX_Au`eqF^#>i%hE}lX(CfhJ)j1pVu
z=!hpG3;x$e#fYwvQQGLbL~deTSn1OOH!ecVzRMuL@<?4N^8pW^mzvzvfioh@l~1iC
z*3wV)=ael-(Gn9YJ7I!Pb8qfpREzJML-Q4)2_MBezjBX`hKxpfA1I-jVm>ZA_S&f4
zZL&gOxJ6-}TZO}gof`9Uc7ju-H0Zl}QAYaAL*8el)P)7v+|B)T#d-Vm3$rG#PD<8&
z;HK8mx=xAjkRx{7@?zDiS{?#+Mro0jU$PYClbTHYf#~kLqs)iKZt4)l#v6Yh6}e4Z
zpE6=;^p!TCeXyrQ!PMVul(pF5#wz*LjiZMz2}!JwA2Xc_&Fyw!E`qsTQB?-z;`hS9
z580J-%c<Qbk`*NS=2VGHeb0m+lWSN$-@5TXu$=;qK#>}(umkgw=RDsR9zqeIz)wa6
zdXJ)ZT))R09)G7^Nw%TDuc+980)Ok)uJ|{~5as^EE9mX1jjxG6wcuK!1kwX`Y!8oF
z9Nu12U7^^)Ws|?4I6Sy?rey>4b78AGHkS$(vh37p>rQO5{|6Gg`RN*_K<Mfhg-ZeE
z?s#()=<}IR<NVQ((Lr`P)M}7>5d|a$^B`VeUI_XnQd7P3zp=2$*j#2N8M7=hJg90D
zce!&S(&k@6IGH)$_lgQ*w>uU=^C`{^8@2~1fiX+pj`N#o)haNeCBf=+bbJJMG0Iwn
zEHIz9s)mq(3*cjNbK}F^!TIcS$3fbJNgX;y2xm#Nd(#j1z*cUMISsvF0IBwAb%&%{
z_UBqRpm))nA8_%w6cj#u>FDcb(9=DA`joV@z#y(0AhTa74jgzzwF14?Vh+SmWn_FD
zL9Hx}DAU0DMMFt8gs@F<^4%jMqPhj0W`8v^1pe0-e{@kYe}N<y0OAIB5cEhSN*P|f
zxQmQ}Ln~m1$?V9;2x=8ljtsyXb=X-O8v|owS&~r5R&dA;cNBFjY&MH9#YSfqvRx1C
zKV2k$;{-z0ssCP2TbqN0g;I=gAMhUP=Wv=?EY+%wh+Ve>S%c9V;4jWtc19?qa0we&
zS<jt5&8LDl!(03xdNus6$BII#!Q1acNa#WQ0+PbQ9zBA+MH_{duGaQ0#x{?Ff|j)h
zo{)_<VkTMjON~?ZUD@flL_ZZ?Ci>HWo8h{!=D+b^NU3hSLXwq569FGQ2nb-Ig5Owc
z>w=#gJriAVT^-Ei(z5!m`}E{4imX4Av*RzVtp$h9phHwBDJxTjcYzz40Tp-9A{vC*
zRAMziSg-y4%>jk+|0ZV3>cKm?E{-w-%<%&U#KS%2RI(LfpaPVH+2DiccOCVKHEUWH
z$g9<DnVG^<Ri+py5kijxbv!{L!mp1zATA+s$IlP>#%5~nIQt9##Z36DJ~6vl+yLrL
zHTT3!UoH$%NzNx4Sd@t<hEP{n*FO4JPsJi*hFTKu30v6unwncsVu4p(0~T$M-r^T#
zkx|1C8h-(`DTXj$OaO-PY$Bhpr;D{k^z$EpB``lm2L(%1V<aa+5%uRi8W+DR9>xDn
zo`t9Ogft0Rgy$W-yXMc+Du7-RLI`x#v}@SdItK<k$O)h|Mh>X6KeOJw^B<Rl5$AHu
zLHUu1i<hxg7BW8U?1lx`ak6~QxV1=Z#hY3YODiG<(tEtDwVD1PNy(0Zc=EzsvLSk|
zjgutM+CH~FL$XGceC&M#0@T&MvY#Mfoj=F{-spd&ms-1ZX-rnS-DxinHvT>JuCsMq
z{0&*69I2F5H{q$jlkA_S<S}>9Ab{b~T&Vr>o96yROHP=P)h{5jL{RCNg7#63Wqf_n
z$sgP@D~Z!_5j)de7^UNWn`kL*d+8wDYHij?$Xn|dP9L{c8xYlWcKvbGNb&6PFPl5)
zU;I(Be<=M;$uVg<WIAVIsL_^Zo$ayR=A$~n9OKOIE*86<YAZ47@XRoO6OlZdKWd&w
zN2tV_^FKdznG=bIT?T4N1Y2mCS4)@J1!DUCDp&2Z4Duq9v4<YTu6{`KY1{pUWr|y-
zo0z@!PS{d}B&Otk4;|o3uwUSvbU$srjzdpDevN{9i~ZjUihF}=*NE5b@|RaHw=v4f
zG%*XY(orqY^DG<7GgRC1S@YPQHR9!~DweZ}r)UTZ@ujc$z|}uHf0?P~gV<jkVxw2)
zE)D;3t^9SM+kwfUa_n;DqZ&npBR7VmBwTA}0;(UdYe|LIeTw!T`z$OZbm4O9k=~}a
zbj7jDthk4#UnX8!`;(`cy?DqowD0`v??g|^tm~<!b2I$&pNyNTOV<_u_EPck-g-38
zucYIW4A<jg+E{lxOEEoJyEWA3bzgl?{@8VD;zeKe9Pvud<D^Sm+xT5w4HiL0(N~dl
z?d=+23`P5!S5t>;g8BD`bkpQ$3G+PfXc>PkM$b~nsljwQttgoxImnlI)vbE;(Z1I=
z-?ng^q2A17Tscc2=;{`Z&*`ubamQkJO$hMuBzx8DtyEfe@9cUZ{^zfD5Vc#Yx$1Zh
z5bHVxRsH?Ti6@=Ec|>SV4>J;a4T%rKXsCwUyq7l;r*}j+)Hcl1%bRbC&@#=gIa!oY
z7O7g1be?EWJ!Ew?Ov~w(3K1t1dMKBM@Jp-`6yAgX7pQG?k(*kc=ccnxczB&kXKJGz
z<2gboeq(7dL7mpV5p?(5^FFNyG}X4V4>g?L^VQ`aGM{~Q$6sd5;+as8P6FjX!+z!K
z7BzW9kHxQMo`<V~whdB*R>!RRRn|=CP8(fi5Pf4o^fVeZeF+Y{1;;#{>t5^k)1C}g
z@k&4Yl!;iI-sE@j?*$&(U1xRaS>_!l6PzFC%MJ-KIxGaPXn(3R<M&D1X$7_Pq`snk
zfFL#QYpfmXC5EI)<I>-QBNBv!g7P<;&But$z1GjqEv#WtcX<7;a>ni7rVldzHhtK*
zNZwWwg;i)733B{icY9siKU@He0uS^VB7o?wT*yaLaw|!o0NDT(_f`Uk)U)^-5RfcM
zTR(sA0a5<M@#BT=()`ip*A^`%+y+nw*drYory{tVE_P}PwFj1ld3QsRjg6`a`8=di
zlyGq05RZ>fIQ=3=yk{gGW<Efq0qh_!T&~X$T=dP0wUIa{NRVhGT`pcc8Lx?>Jz{Z2
zN<koLscAYmlGc*iiFIJ^>E~RG0#^&!0f(YMM6!2rK?*wnH1pRw;IK%e5r#JmD=TZT
zN*AEip`m%0FK$FURON4|*&u5^6|ae!p&-(KE5F<52VN%{5MUL?c9Cg+P;5p=AG(e+
z1xGpfAjoP-%)l-1k~>qfY%m<0fIWZa(B>dTK*#hH0D+NC9*Q0yUh#F-YHAQSTU+;m
zum}GTH^@A=2J5WHVE_T88w@R*0B^p#u!-e!;GHF%vj=eGv%iNrI@Tgl06K?<5A*H5
z%EHaw%WDCMUz5?QRjW`?0!?#(+8JgEP+Nd_Y6tHY)GvT#ahgI&m8TPa|GpRsn=Jjo
zZ{O0q7UoeNA$gtDJVCnzc@sd2tbEcZ34?zSXQ5+pd1zh+eJS6oKcL!Jr#rwM#3i5{
zX6NA<1o9*dd=pe=W~dDDZcRo28sx6bULNGa6yW(|H^fFj&^-t!j5KD#H@*{mL{Sky
z!N;yqoIRj0sQ031=;#oGt6tNfT}w_H$yxw5dP+EWA~Q-s;e?p+ADNq5$yPx@-u?E=
ziUHRohZU>@?#t`(^Wf7XfSDfdyTnh07(>}b^-_KzuyV}$xx_~07N)8I;9}Ul8WvIN
z+gMn{Sr-?Q%r}zBJ0dcMn_X`_U9wWNr^g*M4bnUTAU~88cmY(y3p72-Pgvpf7^fl;
znTi_@TZ7I{(^h}bS4ch$h>6LDxf(92SpBzN{t<`Bd;=szCod34ig<rlW05`x3xn@^
zeH`w`#Q3<spI?IA7a;fj#w4BzK^qJmHj>UYYpcOw0>c;>GYDD;-cZRmgKsLy$!X81
zlFi7@w*6v`?;*YPi(F?7bogW3_F9VjL3nt5$|ET!Yfa4{jd)Vl0;LP?4(@WDb(VfI
zMlkCWhVM0?L+J$c4pKEOF|z6vjDzt}SWAe+Rm(v00Zkq#Gkam3+?E~S6SseHtLRx_
zVQx+bN3Kkex+>{Fm=d=}RSF^p?P)ycq$lgxSSIY{4(O6Tg;x_p%DU_d#_LfG?=&fd
z!@~j3X-9YW87Tkp;F5k)zs6vsr$E59?p9I=_81Dlur=Qh@x)btEXxy&i~GT2QUpo+
zL_3j`uQaJ*iKx%aPXTfE`wNo%)z}a$&ojYt0S^I?pmT_f1`tR=vJT*+thDcISi~)6
zSCfs+XV%J^np13mryI}@aH&oVHtXc8!ZlW?w(!I}dMtAC&~1vL8OgK;K^RL1q;~Zw
z@TW<?38!pCkpY=={}E<El2M<$J2mF(6VCq6W#U_nkB)+3@&U%E5?~As?!Tz5T`w5v
zp^<+JfTGYW7;jBQs;Nmyv+w2R;jP<tZyXVOq?7+|=3)HBTeX?+qm3k#U3gHz1?cq1
zF?asxAGa5`)H&yo4#i*<t!{o$+d(5EbaU;^&{5$ZM!Nn8!+nO=&_~mBL}_DG^E@Z#
zOH0cEIXRR3@36RqLLP21ZI{3M<2M5=+1AoRx~K7aj(rv_nym(&mtT08sTfTeXjAy&
zr28@uNPH4lt*G1~;nULA7H0DUfqC!8jePvp0*h5_wH?}`1iOHjFDHPy5}+Ykpw>k~
z66#*;JK=P&-2lc7-{lWgRiR}I^P-2n52fLe#6`%;$t{pKcW%5v{1(vb@9pg`PXGPa
zjZSB5ouG2pUKxF)5pP&@#dC0G%GXDUUiJ+tY@ay22RK{KpC7<6bsnQPO=0l5f!`yo
z1l!=7!vp0N6<N)95etQ@L1O|Yua*!SPO*)+io0_2LRW6JtpUIME9NUu=uJbki#btQ
zmpz!O=rs#5ctf{`J>bIVg)RJU=_8ASFynAMTIafpApvcI)ti4QEKBeR)1v21N{d4g
zkJd3xrqUggCWr~^;y|rM7qv3W26lS5qj+%zn+}c*J(tGbetmIo56?ofp!!7@7q84P
zNG5HUj=7cM8&3(sLj<7tI(cjm=sq^OX`tw45X;hUjbnP)cUis1GfXyn$j!-_fmo-s
z@aCjh<3{;2-eV~&w0c{KjN2v(Jq4xfi~oLGXSa8oD1}<&7xSr!MLzh<%6PlVI_Y{%
zb%E8R-ZIpyk1r@rYR-fZ9?eRr`?bC*EkF55%dO{D^^<k-ACy<J%s)N4op_+yyGf3l
z=u}}DRPAFveZJwcmEy|M%mxIRo>ZT_T(+NxTzIW=-Q3KJM!sI0#r(@O?MW^bZZq#&
zM6Jb%TR-K@D1^C;r!kji%CcQ9`4K*a8`jekD(9@MMh5%*^Oir!9A3%4SBjHKzFwtC
z{o>GSLNb;!6M|vFz9#16ZEfx70?oPiidLP^BbVRPZ#jDXLRkqBXJ_VfvOZgcy8LVN
ztrt2LRz(FZQ@4LVzUsT5+H6*BbN(2+9?>b*o0ZAWs#iwzXtL+CQInD#PqddCMJSvZ
zTf<45tB7f)$ruozy!gl%I9e1!k*_y#vq>?RQ!N!C;sO(gdrp0ztXtKyUA(fKmd_z5
zo9W#TqLwpOW^;cFi+tTkhQ=3_>8z;oWM;ytI=0V^o9Jua-;@~KsAM-6px2kjIZ`lq
zDZ0I>lCgL`PK1B2-I*<n3y&LFif6|)JdYpWO-M`cVac{S$J9P)_mO|qyd^=<YWiI)
zg)5++^xTVbO7TMTSSUlPVZr7F38o)}cA-FlP+V}r5C3rSxVod1?Ti_0-|p}JNIVfs
zHnwFTyz9J{k6cZXH9l>=yx2V~(|zIBd<JoLZR|VIm(s$Fd2(`91>EWuo(qL{h~sZ#
z{4RD^?<54SJUD6bola`3x95hb{b`R?MA-Y&ETyJZeH*jw-=8OBEj)$<B`<W`WoSR5
zFFO<>K{!nxiI35we2LtBNMZ9+PGZ-ClMzK$s_nxys#nS^h|HYPYYYny_fU%EnpC6@
zZaBL;x!dPOq&;p@`dD}IVBe|hC2NT7$6{XOtg55uqc%UIB{FsMm9C4WJ|{lpO$2js
z3sE$e+pz~!#a<$qCRGJ>#~Zg0bg$jo(&9O)r?eej++y_>pj>))&&hJf4tBvc6;t&k
z%c$j=Qmf3E_NW&nu<|Nb4D6u9u~u7Wzt}~2QWz%U-MCzSoQZPMcm*M#G8n7XRlVEx
z(_6}<yQH5(kW{`~y^f*tQIoeka&HoI_#-;IWFl}WnJj0z+SZ{nDKMQgiW)cCY$K`j
z{$0Ya1iRlU3D<v5_ynw_PN!!MiZ%3wM(asaPMYi!ykJwbn_w)BZMBUkV5UlKJ$1ck
z|0_!I9=nLWN>x{h1m~gq&Tortsbgv}dRa-{V+E=6U$uyIi=!&vyuWK4oQ)E1Zac$A
zy?x)7|Ga~{G~uKkm3hQKkk}PBU-KcDc*Uu@(6#xF%QXsb?-x0LQk{Ym4c<uOL#@r&
z@NwS5@(Xfe7(UTlL`j3W^4@QK*fl?nNdDm%R2;Ih>IF<g&PkrOfzp9(v~wWBr)Ol5
z=C7Xd^CJ!|kka843mpRHNFWcR62g2QgXwSmEj~VDOJoZ-(aoFBp<0uh8zV`~m{OzC
zzzgo+Fi%)CKp|FvsR-i1#I8xi$G!mZ6o)q$5!zZ>7<M8QQ(Rhl1`=IZwuAJ09z+0h
za{(%t6_7KD?%MU~{qv7kULA%<!{X-Hn}+mv0E<b6x#>AMy7{tr1H29#@E}#ZKPqNm
z_@^mcCv$rNqq}2B*K_uS1ehGbYvQoQ3xe=-K&P;EOYYts-x}cKGqmJ$Hk|;!QOx%+
zKO@;F2xqyuni~mMTSDPCT0<JOgV2p~d4A^W0vI7A<Rg>RfhLKr{o6Md$b+H|)920(
zFSr2=<rOmp)$}OtGQ0|)K8Ds80*7fd8^D1IpwI`%YLl=7I-aG$Y!NCDLGxkUWLz0$
z?KQ^aAW;-`GujcdkSg$pV-??H^@S#zR8pYj9uOJ%6(nt&OkRxnK(fS{eF^*nFlO+t
zP{un?WLxv|C-^V<M5yBDL{GCER;pLvVb7J}^7p4tyM%;<1O$%Et}0C1`?AYGSGQId
zUi_LCoX8c$aNTzlMSI_Q-2I6gi&aR$7!oiI*q~T`f=O{E+-;I~7u@ytM<*5z5f)B;
zl~^z}&~SOdGz}>2b}q1V)CB^wY+LoOLx>Wpb<5AMIsyf8m{9Fx-5jbAGqJFoK)Fqu
z&Y%W>u1Gjor3TCa$L~A-n8Qs!kBjR8>4JdC64K;b<H)qq2v|_+C)d~d2)0Fl@(agB
zK#8=c!EOcm2|qOa3B?ixAaFcOkA|Z)kTXzD3bBoE<$!_?M*kIEp0u>a8qi0tS*+j2
zsz6Rh`~rc5B=H2Yj3nph)>-J@Ky5$~1WF6MC(wS~-LRkEe3&5pM!=VX$6jk&+s0yG
z%<rM?aPLGROR}QSHn3EskfQ=<$_CAW1%fh-W|-umplG8&0w-b3ine#h(&yj3oV|gH
zniU@oXDy7w4R<0+66H2qFzyLn5SSI*JZ2149-dvR2BZ`eLP>@g&A1FtFhdaVj&G2Z
zoUG`Nr%xs+)F*Cz$7)rwZ=FW3c$5w51+F@E!<Uj061HgeYMw6#6(8nHWayDVU|oYb
zSRLVw(r7L=EHbGod~#Zh;FE+zBKZ3)(C*Yr?<Ct?uXzu6j&quLK(^B?S~wYv+NUG*
zXBK)oP`kb^xS=ZEwDhe`VDTz$LU*Xn1Nw4*cQ-xXmMw2!6@{5R+GG^l&@vUiJcj-N
zRsf`i2E*`5L<EAE4$<XVl;>FGWMlu*1$EYlBW42DeE+;T-cs=!<|zJy+-uj4A{q-e
z9u#@ZRxmjMMF?4Ic!u%l4)58Gq7y^`??WI0j6^QXK6j?As2PBlLfTRpD+k-sdu3e&
z=pof#3hi@elV7%hyi^Kj4Z!H2W7yi+nW(F$p;$+q%fZIhVqpubxdG$~llBWU8^DRq
zT!fQjys&u`6ckVZfoS|1dikyoI}V2CV5&iz3F#LjA4~(VYfeNO>*=j0c&gGiLo2ex
z)-iTN+pTy8V%W1KhLNy0!SmQ-c^VEj7rz}sPe1^mm<am<0q(-&cV?nvrzh@+@Y3EG
zi@tH;JMRLqhMT+p`}b4bYy}Ak!u$3Cd6&WDqZX4Xl=1bpVG$8VnwpqjCTg$No52_A
zOCn9~U`0@CElwqC{PU-9WE||gD@DN&hClBpBo$gXQt-p$m%&DN6QPE%fdr`nKRd=J
zsI#wodz0~GO-4W>SUEU;z<UO4B`j$@eSPfr;I{A7&qVIAM%2l@7wcs}O~Cpo{8_RR
zk;QP_NM>gw{UyLo$9RQ*e%s&8&F<LFm`yXVo<x>@@?e$NX*^wW(>+gd9k1Z|f>r@z
zm(<UY;7mriv|Vy?s;ebi1~41Ylg544h}Q(U!uWt!$|m%ovyB#!b-8Fo>_BZ=-Ny7E
z8^8k~{b(J*NCOqF9#0#b6MJzCS!Xr9d-n{2jVhUmN8myHh#mQ(mB5++_%Vh3i##Mt
zOYuQ?O0j>VA*z1d-Os_v=>n!Z$bcrf_FLf=@#4j&mKM_O4@>QVn3)O+d*1RNYgxo?
zmVUhgd>SdivcrEE88qPw0k)Z%62GWBV)MI+gpkm<qE(YP@R5uXG%m>dHi#umx7Ze;
zGg4yyH(#Fq-wX!Y^yw=Nnvv)(_g(8f*Pr4w)arACd2Lz=S8>mTZC&ozO*1CK__CZ@
z{w2@B!Sia0n>J@K6#vb<u=dQMMkT`8yjoh*Wd5g@)ad@nE3$;p?bw`G%Zf+O6)5b@
zIclS>oBm@N^%^gm@245oQ%2|Jo7WYOm`buRWy&zMTlZdMao*)eL%rXu(O+Unv?Ur1
ztvhomSIBhz80T{CH#F3%QMJ)Y%cv6?TH{<51fPid^^D(+l#5-~cNmVY>L*TD%L}qd
zZM#FGB(#CQWM@JoQQrEEuS9i)9?|yb$Ig;eiT5;?-RHNJI9<ErSMuSL@u#Nlxb3v<
z1?7ec=Z?D2?TSkEW*A&`j`(o<NL_vzLG;xw5R-}H1k29m&2vw+Tou`=U2WB0NAhhB
z6R%qACwL;n-QN|jp-LG|7k_AyqM@b*J&>ArAx^Hdb_s4&F?e3NgW${9#d4-DZ5ffy
zRBeHJGX7%zI%-n)DGl8RD+zWpjW{vdla_<qqB;C*r6i`v9^j<9@rw3Cug3J-xgrNS
zcHGYFXRn*;?hd8N2?$9&$Id0&mO}6|8`~;<_rG<6=CadAQT_vCy_T(mcA;}Xet2W5
zUO%8z60(L)hS%vsMJTheA;#JpM&t~Lw$_-#PgE{2oc`Oq_j{kr3m&TYCX3j@NF{EO
zQ@3ja<Y}u8(aJQ_Tuvw$qsFa{>h3!)Ap5f+rMoUybD}LyG%$bYb;9eF#O(w7l=AJH
z%48JJ{Bq&U>^IO~PrFMpRCe8XY*XB_Hx!2U=N&7E8)b#T9BiR9_nZQbTlRgeBJPd%
zZ1&dqPWf;?_O*iN{8}Q@degYp2g<DEQMZb^Ra!#S0O?4MD8~+(SKXX6`*x{MKP_w8
z|25!Cmx3BsT$`dv1+Q?)PQ|bC{cLW<3kQg>EXR|tn^wp-a&F?+s2rz%ay(x+S;;~8
zMJ6rPZ?rE{i?}#*r@=8%HTK-A%()Cg)3r$TT4wlP(^@G3A*GM|m&<!@Kd67w^Kn4d
zh2`=Q7Y`>$?xu+eye*KVQppi;^-Ee;o!xRtb(*-mZFA$R-7}Z-x#vxXb+VhGtxJ%s
zFOVk26?@su`uend_B@u#m+#XujxRVe6?2t%5>&`<mTXd&mev<t5dA_9IZ5gq?!&r<
zS`pbl&TrG9iL<{~c+u=V|J9<2+haR^)mKQnX<2BPx6;b1dpl~Ul{TfWUlS+W-L0~)
zgEDiRI##g4($mC;j>B1F-q(w`r>EuRR*^)si}t#kL^!Q1_6xeiZ`jVVvVwl2(m)1-
z{L!+$g%Cctz$_BAuqhY(H*o$CNN~U=uzPj%_vZsl2dv!NBa7M^=2{rd-wb&H(<sTt
z*4x~YLjj$jqJ3E!>#tCUO>J1%6yQ#>{>Nnh3iSS<lydR%F2w!HJBs1-U8&_ThrBhb
zE(kX|)P-FS?FxHQa#B&21N%n7f?@tJjzw|tag=3XKa<)nC}T(CYF-__c=008pom*w
z?*fve@Bw7}CIDhV&Z3{CQW1%My^Ht>P->KPNPrPI(3Div<uKX7*~<eRqUYuV9?%#%
z)kDZ1Ddof{4-VSKx<O!ucXzZcDuS2YUj!dfQ&Zr3R50?6`>xbex)sdKRgg~a0xWwp
zVkOJxb2tAKwb6nh*w^pgWhPH@?AHwq13;`%o;W%?ONfb~t9iKV%pvIJ2F;tQ3LuGm
zu;1a?ty{NLV!<b_$%IS%e_j1LB^eojML@t8w7a|E!v%7dFv9VN)gai2NR*B1*RN=Y
z@f?(JiLLEmGT=-qtE%F}oZ<&&&VMLwxEx;N?gwZ|Km-&<s9Mz3tBz`xI0|sgXe8E!
zhoHp8iyS$?LI|gW<8y?(Z`I)0V}2WsS>Lk*Q3$sGSv1jtjj+Wt6<be*J9F~yYIq+&
zW{f`Y`i&dLx%ORPTLX;CLJdFJ<$=j_gb|7;(rPW)fb-7_c(gEq!3V|)T8VWSA%mC;
zH6JDdV8r*Kazg?SIe~7_glXklF4u(vEb0-L|M2U2l+D36v9Jimz&j*F+uaH!E9z8u
z(KbP<tG)-T6Iq+^<45cT5{E4@$;iqFdE_ztZ5;v(4+N0vu%x78J40cdgdWjP@lR1q
zR>c>T5<2ExVJ3H}Sq?6@#fzh_6Z>{YRDS#z@6Zct>v#+du%yx_^=6<)?jImWOieFy
zbTl=IT@n&0yY*=!P}ZV<B+#>V*&CapZ=zkSf=}e2f+9MOOmhKNB!O10U`Fp~u;dA}
z12!%JWnEdKWlyK2Jb-zEn~T=xTp(NM*S}}FVO6^%oM#<Ek51@kpGVV%!te)+V-re5
zisi;r&nrHER*%)FOBrr{nR?mL1C#WO3<r2nfb$8rV`1Z!&kYn6-=a_=HI(_Nnq4lO
zz$k5rxUi)Rwu0s5%TA*>b&nr<SeF$kn7Zl5ZzskTE2hvsA~l78miG!)7}^im3xYu4
zWL%DHE}u2ZqodL+0Zfavhs;Ni%msdY!>_~aX0%xTu04?fYdi2W^Ki{Md8E-QrXSN%
zwvFk_sfVI2!>VGV<9)Ojx0arwMpCW&Ew}rzyQK)(W&c+-uaiU}ga!%<%cw9m%(SlS
zi`oi{NteZ9#qBIPbHbvc{{-d|%1fEqWs7*crL8R!9J!+^CBWOoLTaD;rJ&&QdQsfY
z8W$aX7OpR#trI~iU2t>TIK~AJV3?fQG+-FU$<9uR8}7@?@oIbb?nbH?(y#o7zih!4
zT5Sii$yr-NEiEVX5@7l~2F44n5Y{*Wmp(iido4dbp^td?e*}!z4k3x#3mMu3ZZo5I
z$3a1SwT6Fia;%T>9b5-4|HR(H+jOfDRcYbbKUHdNoQ`lXidgKLHiJ8H6&%akkX7iY
zv-I0+f*}sP#NjuN_7^W?T$pq}nxcfsd0oNYcLlm&G)~}UlkBEgjoh3ZG_jb;ltCxz
z9EyPpf+Gp+m_V-GEaTU*^ln?KrmF!T40k6$9zm9qMqjJ3ti`i$fk_idzD!;_pe4%t
z$_yvGrpYxRp8R?J=NS23d|lrWr!SeQzIz@3j-Kvr^SA5}7Z<#+p`6m9ROVIdyO)x-
zBhJEs$x}+-#l@-5i-`NRGFJDD(ELK&K|boHP&xK*)kOld>snqLUq8I#H|@!8bLDG~
z)M)tnJNQ;>7*9<s(DZelC+I})1eAOUBu*L%AJS`ZCTbh(R6Ny!h}soa{K9^@0*vOb
z^R1pguiS~^>?PZok5|7^;_{Sx*V84{q<x&WA7~l3n^+^E;KIc0a6)2N;KEKWy5enm
zZk#~}U%EIk8%)K@5s{fX;e2oNTILANh3$-Ozf_4=`zwsDn_RfF{8LftQ-)J^olom`
zw^iy*&zj^vrsq5BoyBmiaB`*m5%T~BFWnzRdt_qlIm10loqKKqHNF@qmK(sxSL1Yp
z;X+j^<z%B*3`5sPLCSfh;KF<6nUhTN(Z3F`ILCcKoucO%YIkWHF&<yWe}8o!jl8*q
zNODh=jfQ6^6NnapeawZIc=WsZ!@_nGAA&VfSL#qcJRS)O3BPlAPDRdDnT?HAhG=(A
z+xww$OT0V1G||^LoshVmSS9sEdG2j*Z1R|d=;wjqpA)7;`aI9@x(uzAEL>y56nV&^
zs;dWRDwrsI{nbZ=_ci18w}yn94j$O~4;O$(Dz!k9D_KhB+L<z^^XL6v|7>s3R2Rw~
zUv~Qb?^~J0DpGQZtY|nbq*bpghj|kc*B{qxG@TF}RE&D^N}QOP9ag;DT)MLO4Rb7K
zFz>7mJ2Cv$$)vC64=LsP_Q5s9p@G%J<pou@py|ISeo^954OzZ@h&b^zZU1l^&5L%y
z-Vyr(sh2eOg0%TcOs=RMqP-)Au1$OKSot5Co~5QLaA4rP-exipwJ(V`7E>KhxGq9S
zfD|T7g%DnZ2GRh%HE4YsovalU{9iBnUVmmygvOlYW~F>AD+A{YFVf=33l=U2VUtM!
z49c~*^YMG0wX#B7m(f$PZQIEBXaZJ0;+Uv%sY*NbjorKNK8uc&M;^QcU;q$n6=8lD
z8xw=_$piZxNLkn~FwZ7~QlB2jd3|tc&k(fF^?*c29Pa+HlA==5(hbH<k5&Ut#ncsz
zW>YXWbqv|idjs6T!1oF~g`TS1^@&rT<o=WN;dU18`}yw%j2`SdQv%W@0oV!Wu*}#i
zpq|T@V4jjc5S$+N779tp$H*GPZ*=Pzs*;ySs$>uqkdC7|55*Y_4$;ix(}ASq9Yqxc
z**l<_y@-mnw}+S>po!nmPJk3-{dDP)db}oB7vU06KR{jOfK)DcQN(NF6Hpn#yol8A
z*xauF88Qy*h)5wMKuNwpW%l%~K@YqZeZoT#9Roaqjg#{hxp4vy!4BFEoQZOqM_PME
z@;3^_GV;<;98PciO-87}C;$;uzA#)R^K3{vP7<}kTvjR{Du3kID+f|hL@8VS4@K18
z@zr+mhrt05($&)wkC9>dy!riNT~VO~00reNpn_0{WPqp`fmwndguv7oCJyPaRM{aQ
zU=CL;G7S_>JGcNSUQZ#;814XYfoRyc1Hl|ZLWq_V$A$`Pa)9>0XzJ^;V`APkGys-P
zt6cW~t@KJ-AN6gAQ(RIKtg1w*_;3Wov^7^^jQL^lfr(rHvAlc$E<dQ&Zu|QyR$%_>
ziMkVCW%ldBoC(fWSjR){rHevtpuK$;PJN)CXdC?KTW!FQ)y6>y7N9t18a&O()2Ou-
zi-2>x?h70qO)C~lwh~x=)aK;oQhfaUa0&;Ob-{Ew++q|*6JB5!Xu4m&@v`;|4s9I3
zL>oK~=$tq4yLB#Iq$^pxh-bJQeC3)F9o^y0Y5b|Y4R)(l_(qg{(8WYN-JzEr^KM7a
z37PR)DA6cb!-Ak4IEMnTvoRm$f_RI-_k;K~N_yeO%cLscN*vpDi6>aXsRh5A3RXko
z_;az0s=fUHA&72n^>Ki+*_ZS30>gS!jdQr(cuU|%<ICT?o5t~&5g7iHwiD+940rO%
zxH%5)?D%)pmwrdh@^YCJ<_p+JU~5*})Z~Ucg;FtXGpN2x0G;?|)L>#^Nk?L_n+WaO
zx36}HKO`h5sMfd^6B#MdYc7LLT5MP_+UEjrlT~69T4Qm+U>6f`k$w~r0Y%wv3}N7!
zfM3VmR<9YKc7vH0WgE_S64r-bS4$Qipzn)BtY~wEoekp*TX<Bnc&AdL=IC;y`jI_g
zy<H5+m3Hiqrvk&ueW1C>7uv+fSKQXt_VsJgyN7LDZ5jp;6l0D9c@cQTSgNp4>$d@~
z{qkbJ=re>pKs{m{;Cl3@xXAdjuF;qHDdD^US}elp7E4FZ#rl;F;;}h93LdL~hzJO$
zeu5kIdeK?~JYDPZ8*5o)I2QN4X!jrljCG%%!ZQ}lw~^YQ``_?8#vdDCJOcxo1G2Kl
zQ72&}<^Xp4#65QMas5*pvb1i_(l5X*Y#Il3oATtO5a2==x$oRuTzFi8$8C^@?Os6^
zV7Y8i7+^aGrYm}07<qk}QTFxeVfp8)wgP9ic_lK0YXVkDy9+F*3iqaA;ceUEu{k<>
z!csU#y$FD+|AiH#vlzUnvF9Py0oxun=<}y#(VuQII<b2bSwvOC6lWUUDdceT;2&T=
zfSMRKy<c6sBcQ-!WevnSmh^~28V+DpfPnt%c9T(zkfNdz#2bU*gmy?%hz*XrmgmdR
ze1pnF>VZke7I4QsVDa6QNM7yhg{Z6l@jcXW^_)BO+19K%`F;5)wt4j9Xr=tQ261PA
znChmTRrGg56$v}8io{;7HcZ(_)34}PAZ=jsP?y_Ay2zA2*zK<p?9&sl<N`a?3SByQ
z3fd`#u9&Xj&_#SPW{)1Q9LBGAzIGoN7f8ve0&MGn-4ah14x)HXVKkO_Zo!R%Iept<
zkf;P#EuKqmshGAo6+Sm=UMf$!qtT=E^%TM~xOFq)b%tR*m7?6IL{R@JSic&*x4Ntf
z8b|&R2S2||$)asNfQDYmV#SLSWlVlgo_AqvaGFqOXGo8wxrL1|<N7c~<^#|3G95xT
z{^d64wvn1*bY4N%*my;8i{aLiM~}{`J#4a#>9Uz92)Z{;?733>CcC!&-QTY^wQ?#j
z6BiMFTYvu)!Jnr(d_Q+h<f=c@`~zR|=`&?lHTaDZLY1lu?ZIxFd8uh>hpyM}@TV9~
z@*Tcjc<woob6LjVdMJ}$#Bf}}P>RtFRn^roausp|t;Bf-8J*T*I(gpj_53aRBhu8g
z;}MGc47vquWDkLD!AKpZSC)Dx85^ORPdu26N|_jwJtULg?0e|S!QR6Lz0Ik=*}bbI
z-VysIuR5L`nSV33@yNrp&RtXqCR&A@+-9Sus@)vCA&=a3bpn6p{~FOinajR>WQ81i
zV8YYXAF~2XzdsMRu8sOp%w~Lf;m%Wo496=&B82UQ;Nz2$)kzfMx#E{f*JZ?a)#`(-
z8U6c+{E4{}*W*2p(pu_l=c(=A=|X$Y<kLavsg+&T8VzhVMA3BtEejEz=Y#g!DYw@N
zL<ogM+Az0|vRjGdIb~6P)_hCke<W_UohrT{B~o%YvhU08$-D0bHMXrM%GHASHO4|D
zx;ugmu%{;$br?~K3o?>@goP7{n3nspe#wLWlo(UhC?`91LNWH(^=_?3A}=dDB&1D@
z=HwYkjq6>>3B>Hr8Z(yC6YKp-93Ze0S{3WzM_;(ASYg`^8OH%G>cP233i}irvg>D$
zkIid1>{O%sR5@kE@})6ci_?vgb9pp6=%OmCCC?0J$DSun+UKo;nP3z+&kwWqTH~yV
z4ym2?mW6I_UcR{T!(F1MsGexruj*M4>bu~TSDE~4UUT5f-of4Ck+WR9PI&%*{)-}S
z{BIlOCG>u5%L9xJ|CphpHm&)59*+yo3_J}Jxq0Z+66^Xvj|I>3=8YSqjV1<M(0g=Z
z<kNh81rFVhL*`(@P2|GX@NSX$*q=%;T2O0o8&=paAn*fQS!-VF;QsY$WTHB1V&*f7
zE^ix(Sk)btrciC90laqo*Q%t|D^}>Go%O!+TMhKk6zrrpS;_2|(Z4Yl11Y%QFcV!Y
zXiTJPT&>U;;Na?|2iOk7KLV90U;$@Laxm6#hVp`rj(PU|ebB<t;tv7!K-?o0r<knI
zidRrZM~p+yfI^w(6Xq*33+e=pvb#l#Ne6bAHj%S=7-;W>ogM+Z0h~X~XX;d9N8fUq
zuw_i#6vdEOTAI5UjV-S-NW0AcjP@_!Fh*@d2%LC40LKPvYrj65(bdnj6UFcTJ=0J$
zzg0MkcOL}5yWlyBEh$(9*-`ad!k|>2nwgQ7lHyvw9-od<-6+>S_FF5yJ4Gm11=4PT
zk2igKb}ybb0asWZ#<5Ak+ZHft0m2*!{C0tuU>38Wc)&2SXu3}XF*F!3?EoR*$Thfz
zLH`O82aIk>Re3@}-+T??j-O-h4A2KNGIee3knr$44CBE~llUnxiyI2+EP<HjwCwD{
z1rN}py_R~NG$6fi-@GBfk4ukZx$7XZZChiOjn3gCq$fMHut1?;8Gsr}95n>jYMfjD
z_bM}C=9u*VQ+Ya)vKf#eQoycFRAJ35?X$hRFHIQ<1X>CFM0bD!A0P_J`UQS8G=ynC
zq`guOKW-xo5j2opV1!6D|AX&E<rh9L6>kAWuj!>7FAvWJgo9dx(f7ZVmrSjjeP+4`
z0Wf-a4DDIZ&+qy7Vog4c<IfuB8bJr^RB-dutxlgNwM($#)SrkQK-vUGoR9ZAyn{(S
zFlndCHgEEHox0Em^RUlwS^!m9#c<(khQ$eE<HvUjN$**&`2&QPmsjp1ofx0E+$Fla
z323jaIhSaQF)7XL7Z+7T3Qv5houT2Q=g+&rz=RVh2+(anQ>OJx|BS;W)l1icT@QwF
zZ3>vb%TF2`Uzr}W;%R-`<??ghmEYQYsn^p1h8e6fUacx>)j%?f!OtdZzFKRi!8=&!
z=vY5~_yDFL=+!wt`aB~x@bG8}YXu720Z5ez+XZJ&;8u!ch{gCg@_`X&$4!L;#st2v
z6)W^~k4Emm4jxkj&66izSX6B!;HP;)MI|B45mh4|I1G2;8@Um=Q2y{bAYTOB#qe@W
zReBYgVpTW6FQw)Q5X;jO?*rib@3LWq+Sw)cN~kj!DH<9y?f5u+Xi91$f*Y()w1dmC
z@Hag#0#2vUXpE1HG-6*lRnSy$6|hualIZsBY~E6-RVzCRX}u4Pl!~Mt@Iha_(cqQ$
zAMXfJU)KR6v}uXx8k`G&NLgCOffs@6M5fyvkv3*BDJ;U~m1FOHA>`GhRNg`DhRulB
z1?y5Y*)lJd`TA^Ja((TM#6m!mLU{lpdfrCtr{47uzq7EJSb>ZK%oEOYsD4pwG4JsD
zr)uQa@;>w#9lMk?+|ojVgRhb+K4U34bpG>!h~w`sbYf{kQ?}L7IMEBF5R{HlCxze{
zJ#w%6CxW?BMpAO{U}AMM72_k27}Y<pHT&%%6d7&qvq-Fwd8(a=xvv3%VhqUoxcDg{
zwvOI0!2ie9)RI#hZ;2KP{rCxz6d8aBjt_TmIZAie^za{9NCq1TFO|}P$Fe6nUT^@&
zuy#2)IS{KbOa?0%RVs8}dhoA{==ZyOSI+(Sc5-p!tHm7vzkew-syD2s$8xt;VgIQX
z(pCiej0-S{KAHg<Il>>d1(#y716pnLJMT-au={PL)a_**MpbAf{8n+COaG;90d^@+
zrs3^~g8}s);C!$bApXQZN9$Lcn*ufEEt=s-!RQ~p|9tJ-t@A0YlLxQSAqDIy<-{v)
z@Mr;bV+RJBfhYsu4-dC!@xaM<5?@9QIhcR{eK1}#+p5MKPzAW!aj>HOUqQ}Ky^z`6
znB>||E_j)Y#llrQCia*B#HZm<^Dp9^7T<wE`-Hxhj7ht3S=0En)!p8qp+c+>I_IFW
zF8CVx>q8jFdgEVyOk@9cL;p`%4IiuBnhQDq8n5dldeKo!`sm|?{3(2rYK)1(l;T<y
zg|^5CH2Wq~h4C<NB6RmDsgeWHN#|#5SIk8iqYEZFr03bcw|Cg93rX}5r)OtA^0&+>
zyAvwc&a!ZQ5GK~m&u1_kz45y`lX5zQeYL#jRz-a-S)%ywMqigL%yD)<C{%A>1~UN_
zVwc_4uG|up{LpE8F2bo~b^M4!0l~N5fUD*W17XXlb5n(|G~4OTc$g47wWmcH!$#_~
z^$i9SwZ}yJ!}Tv?-a<w7V`z9=wCK%98bZV>^~&$&Q^b5^+L)4o-f$aXE7Gc98Q{LG
zSSz@QK|08jo-o_mWHVvhwVjdv)m`PO%l?$p_cn@_u>B&4)SXj`*Z<7n&)pj{G>knc
zON0&R^=M9iR3$o@s`E|FjGC1Cr)Abpx_57u=A|Ybwqenlf4u5R!m(*pEw*5akmz>S
zGg_{(zl9a{(8fkF_$S?_usu^5ZdZRGObPm-(%hDQ)P`{NGWGpb{`nBw=-PB5^P<(Z
zL#K|eBpNMZ<z7aWtdTbxcN;u(<#XCcyDJX*Y=sZ>nTop$@*=l*{7ilr-9G0nL*yDt
ztr<990o%LmF{?)RD0XVaSEDs&IvG_7o2P>cIielR1pUGeagO&*%w;jmAFD!n2#>7&
z*_F#kVEer`A(Sx5Lsgy<-^TIYsc<Z8q3p~WLMt|tJ#wytrhTwYFlLu6L4E1IA$aXf
zHH&=A`%Nq<=?}It{<`5*9Z>8re59xH#fsiG?(k#$JlT{F2ew6o4iw$0mpNbAUq#88
z{rfn}m7KnPRK*NBpBJ}`c2m=ZdxeBj#VGfT_~vHCXEnvB-;1_3>>thET0mrK?C(4N
zq_4qS<Kr8KCW{x^;4Htb&NKb3O_<txD#Xoy-9PwF{Qavi`r;Qy4dT=Gt!~oc{oY~9
z(CHm<aC{^#%HB?pF-*FOW>>0g#~X?e(+Ofqc|UP`du-v^d!zilt4`k6i!0E4v}XGa
zmB`pJ9t*|4zf`W0S3VN;n=hQzd!5=IrGpwwRF1(|kL@~&^|^zG-UUTP^BotZW3(#w
z>sz(F!s_U!B>mc3g<dz!H7w8DJZn6n78jK%Mt4%v^Gf2S-!%g#c0c>UCd_47X?Hf#
za(?d--hpb&-EB-%yqn(=rLVuoT;Q$YrcT$gTQz4eW;U2TnL04$vixM>ub7~P@@`6;
zL+qXx)3s)Vmr>C1&F`*B)1I`@DOzr{iJmWUKE~Isx~Rzc?TXxKRfXx}6jP%Op!z!A
zbN(E4%4L;?@rps(C{=D^*kt4860-}=v_f2bGC`H5?}dpQ6sH445hQ1CQImwtrJ8oJ
z^!kq;^YJoZkin#L5E-u~6<+aJ#sEqnxGBZgyMto~>;_X>l!y?b-P&;WT>t!B?cA1o
z0Rd^qA%!9sal;?G>_tQp@xMj&Gku0bHb?)swnXA|NA-=vinR-|>o{7R`|AfcB}tM+
zyr5APtCcY7VSo*oRMyqP|DKFRfChq8SRh%T8+5oe)sQ`BE~0Eo!-Fu^!N`ae$pr^G
zmjO`%>ue8zQu^JKsK}w^ihTGmQ6nC5h621RpiUmSD;}6LVek#>b1-F5;xV7CL!Ysv
zf*EVWu}=Upg}!GEnS5`6$=b`~YQ=Bfm;zr$o+)-!QWTe(I($vHjKtDQN)8cFk?R(E
z<bp4Y{TUuPMW~!1%wUv1bB1(o<$aTYQ(R=J$bAVd%g>(|3CzR8cb}spqqySY;%>gM
zj@6h#db-s9{W71j9!a|#PwI#5drF!m0C}9<1jJPvEtznwv`f>kW|YG~UC8wHMp%T`
z*0R+#baEe0*0$MrZ6eicPF2%d?&8k>prw|UmnSKU-Tkj1Z<RrFIF^zA(W_Tk&%aE>
zl=7GW?dfypYPLXjCR6#(5b$hD8w}lGe+G~O3`&+_6!oLOesS+Rgh0%qq6I_%nVmlU
z0;D+zu^KFq_t1tu2o^ZF`N1I}5+CQt$k4H$KT+S2*dM5_$lL${tpyW6nEupSHa<VW
zO8|xh;401mtD~3E(KN-h(^G)3&v`GMxiII8B}1~1a>OA{PEAq#p)07n#{z3N*z0D&
zs2lm`pb%F)+MjXc8d?sh#9;n`z6Az(c)?}7Pqyaxi4$<cL;i-pj}HX-W##3on3%G&
zvUY6S1`7sYhPAe{U@L?A%SBeq+Ns8#=xAZPjZ%%2es&1b;?tpCp9ot^_IarRWQkgR
zu46R+m_W_3_JUWh7KKY-1d2gE*4hfB9M|XcqkKKs0=!oy&wyC&lnv6K%%u(lgk{CS
z6*0dm)2=nI4k1%0XJFN>&bn@052g)6L&k=NuOKi29%adeU;+3I6d{HR%;ATNlFhxh
zKtcskW}s=IM_yq}VTo(wsRgP!X^%$&m0t@B;-HOVU|=BDVC3^%!+ABZT-^EtXl@D$
z<}jM*e^js%?Ri6a+rv_XhV0F7`4<2D@!C@(0NL?WT8V-X`W-*~WA~w4u4`-<sC0G)
zg@#IAu*K>WTw0x4nwquvfr(>bVv703EsD$$qSwi#H#YVP6Be+2QI)wPF~LMN*H9MB
z4*?ZD<Q*)6)g6kCWEXuRvOa~hbw@!p3A)J@48A}UQN~mQqbyiJ>FYPm3>V44p@KAS
zsJMqdcB!x}Tsu*fsF?tMvvPhRwlnk!^lR3xjn+=IaXF@{3ZpEgBS&r^ydD=Jt~1=<
z+0zrJ5g)$y5_tB{pcTvN$Ac`)h>oO2GX=0E_6+MRDSrO5Fo6c!GZQpw{9`y>A+3BR
zOukfpb$S5#Tek!p#6Nj*8lK<;LenFIf*gmA<MuAQ2N!zW@O(QftN0w#3kb$S)`Yua
zM}ebSVj<^et3EPQ_h7O%snsLk{WLz1QB`j_{QWzbxJ!`1Z@(gi;j^;E!-ogkb%1db
zVrrC?S5V=<hRet=G)K3(p6q`hs&4iIZb^oKL7(R7;elA>ubQdOc2A&}1%SSCrQ$&c
z&v^i*9TqfL(TN$V@T7yE)}z2chhIO`=;?3L-`kEA{nujYICekBYd!@}m{#}jYp6XD
ziPB~7>gYHITvc4>74IE5$4E6??ycUcZV7I?kdIdkaq{bOXSIT30ya%su=z<YZGQi2
z3)3<2EnIrg<{>g|upM;TPvPePSL4^OU%dMB)>&>~m}d1WCNO#*awq^x-MG9Q!LnN2
zCp#{=0Qkkkky+RXc+C>iW%}qZ$2=Wl*Vsad|F;c|BHBeWP!R|uzqLczm$F+4Q=~XJ
z;pG@s^4?tgnf1;;<^KO4T~4m^cWj@uaR~`rGHzo)yS{gHV4Ea!h|r9J_ICVyFIfFt
z!4fP1vWoz}QWcUVZpEkHDI5N)s7Q`vv!P+@vy`|pJNe?pu2>CMoTR|BYjbv`G$Y<d
z`boHXhYa{3YOy(S#)knuU=x0H?;g@#&H+(}*&2KVk%kT(1^zh@rNMVVY^E>)WM_Pf
z16k|4xIOSFXyb8IU~5`k73QOKVu?U*vG?VhuTC^_mY?`QU)kI4>w>1F6_(l>@rX}_
zE$U@Vdjew;UITOYf+QQnf2n=@gn~<f1sscz8i(u<n`#y}o*`+lfAI97Cnq_7$l3vw
z4q|xdEJ+7de>w<l56o)-7xz)BI*&0WF#gq6+X6pg2KCG+1FWw7e~lRa!v#Rw)X;bt
z&_90e)#sBoZ47R>*mN%M4;26ODi1mA1`fB^+6eEu?!T;&uD+k(m~Ii{Bt%8$Oq{&A
zh|{8fE#EUkyY7D0!Rz##E+Fpes<(dGK%5lX;VH^VonSOzxgzcrCp3^RY#d~-?OxEf
zP`&DYlF{(Y!L?K?(FwMws#9jf_JQ*@FDb-6G*sCdekGJ*_i>)P=O`C1+6q&<EFuFW
ztQ|Rs@hbX+Q0D3(r_-}L2;R&`f+c2+a>PBS3xZi%T(mi@XP@{$3rDoKb2lhnek}}J
zwg9&9AQRT*Ve#zL;>ZJv`}!K4iNEGWR_m#sS;1#&?w4s1l1Er}Z!f5Mo3)vUqgO7{
zcvzUgNZb=h-mNwpyLZ?vZTYTG8OaQH7M$M~^0;2SC$xQVmW^8I8^E8*b<xOO<a7vg
zyQmZAwpYQ7MDmk|XQSzfmYpFIxek)*U(W31DSlJ7z!CNLFHcHwxytoX$`EmK%iQdV
z!e2T>g6)n3`e0glS8q0sP|7`-R%7>qcN_xMT*>DN%{jLt`kz;xBfiXz1v1pVt&Z^f
zEt*GrFYCUxy3=-wd}4Qkq(nYJ9J@V~j`XuK9b4Z+8uKTKb4S0f`4*P*F#2c3qavcb
zX)=g`v)pm{&;H@+>c3_+2w`wpB)vkP$y|PCVnkWy_UzV0lVwB<o7H3Pv6WPV*oDXf
zY38`-mKkE6r~Sn>z8QfWn{bh#{4+vf+<vZ?w&vISyQOKo&dPjaW2Wp@SDxH|f2CF2
zww*ex;x22|4JqtwjiyJl9opm`e{(e5AAR4ceP-%?_e6O{#iOwOvgMD$-tqsma^|Ay
z_*`qTPuom*8yh>-(@^8D&=E@S>>pj>ByLwInm%&gDF21lmHEKsNf&~5JbTAVJBrVV
zd(2-vc_b<8994F{n%ko#{{D>&DwDe7%peb#{90%?(uYn3~fIinv4EHtA<<Kd9pL
z@&=!i6=QMX`Qe0TOqDu{{QPg$$oo1PU8mEKrM9d+T2aEmm^*Tpj<&ev;C%+(UTI3s
z{ie7iTm3A$7VUY4S8|fHYgo2K?$LTVO#8rN+=(S+e3qy9a6zb|rPi<%_2B2x>N!?X
zTCWXn=~5@??_H?Yz8;cmK@sxWzq8~vh1W-6&aHnVx9`){#242OS(RIfU17Bb*Pk7^
zL1=CpJ(Yic_&~O^Tk05b`e*A2{=JuW(LZ_qDb&FB8x7&#HP`Z4Q}&lCBQ2qA_V%P9
zqr7#)F@;hSFZ%g?{<^CyeXaMTiv={4z%yQ`U)@PrHcQ2yhw>!Jrmk)aVfDN#))|4^
z>zd1M-ZxCj(Nu8t)gzKjLM9l^KvI$soGKSR?()NU)K_!syGWBQ69(Glx*obOJ8P7V
z8`4o@4ofP2IXz7f3F*w5(!&dT*?kwv2biCXESox~we>lzyxv_pGr<#`oY4bHlzZK~
z8K`;-8*;TZ_=!5LsZ0UCFh`*o=a8E_BEP;d4;tuF`&RIUj-Bb-YMDEw-X<YM?OR*~
ziG-Qa^;*`aSDtQvmK`pV<?wA+z^;mY^rz1>g`{u2L6oNiwccrqn)TwwzP8xxkQ*HR
zzts`6iv>AZZBmww))?qWR8Mpu6r=M7{`lyB{PBF@i9cx#(R~c7S6{%X8hZ<szDNZU
z9E_GKCR@^O4VB}R&fUL!eC8b&0nGpSR85^_baX2BYhg!B0Hh2TGxNg?6IJ@PYp+oT
zAmchy$Jftq6l@xhWWc6za9GK}kmLHxT+0)cKiGn87}BGI0wD%W5ww;t(gGnkC4Q%m
zPaoG})!6rF^U*u7()flG3Rc_4(GH@t*VWa<CxRKEsTB;GjMHEfNsIyU0%$gBSDalo
zHP0&0Zi;Xe!hQ`_Qi5vXnHcpzt%!mL>K>Fxg%GBoem$nF>^e_=;*tofFQm3s)5OFC
z-gp=ew?c*piW5mMj*mw+@HZH33mb2uzlZSXHETZMc)>vgJ`gf>&>RD7EqwB%7>t*l
zJCA3;EI}Jp6oitN7cR`<95IA!W;4l&=0>M0v1gAoh8DO}ux$C|cu+x8a%7V;7*q;*
zgCHEBoC)5EMg*@Np<(y$SL6J`nW?9%>+=W>RyfD}dF5nx?;e5B6!Z`MTwye#XsbZ-
z%*@W_*pDeX>?`mpuc`v+wJpynF%MkzpQr&qfJW6+2XBc0_>JMn&qQ}N-diJx-w3w~
z+>EN0<t*y0Zx&|}d4sJkUkA0lF%8hxC&}^ZRc+pqZI@qzYfua|rEszs1a#xI`j&MG
zb!dtRuolqOoHE5Y{0~G7CQDt0OBVVA{9<gyXs93OuH=uFT4LGey{)cJ2V1jC40<W_
zz{D0oL7gOi<@*mVhkozxU-<;0SeZdc2R+7mSf~Kq3#!{NX=7>!yZO(BMl4aQ9GgJ_
zn*Kd#FgJ=}jhkDr;oIGN_Ru0g*yK_GLdtVRejg&$d;FU=9o&N3DX^AZw8#b~HSRyi
z-+%kkisPWAy|6&58L!E{=WXk_{wTDr3Wq$OVr|cy@{gJ}TEkMOxA=s8W<~R(6%I^6
zWNqKA?!GB!Oc%5qM!N_8@`<bLuv?5^TmkZfNCB~tn_FZpaB%*pLWjbR)E1kBf8PUs
zH=1A-b{LrL_CoJQurVs)zZ8#S@vt#2r-CvutNfoI8wk)jwdGa|Vrt&n^nop7i}8}!
zh4beHjy)hwV|{5A<QBlxrCP9BE91|nEX^A)z$$k)=;78@7#?D9_BewCwLwn?l;IA3
z7kq?8g@rM)`ig}O>Ki!S$ROUk61EMKn1i4o+_1--OfW>5X5!Y1#rza245I+xE?#)*
z(6TczGP?b_odS!u(~+z#6U}<j`Mp`$7I_n)-5|AKnMtD-tndIY1kEcv1(o*HfIxx|
z!ScgQz!1+jrmVsex+8XsC+hwz$3+5N&&M~{Ti`ka8z2BrZ{M21Q5Qnst{=^RA@vab
z0vJc)NZ^LcH|&tS55Z3Q6UJ9)(#F6Y8Ae#4gEJmB`Xv*L<KbiyrY~z`LMfSgxx+xa
zt{S3Vo7AD+UcI`iCXxGFtROlEE8o*^M8=F$LBVNtYB4MNExdaF9Ruu0g-GRbLP@xa
zan+Pz+XfBS`NWzDnsuG6n%5;l-VuJPLHtP;3B<+yvWKq=9&e+3dg@Ngk|(80_}o!r
zIWthFNj$yza_zVJh|sLtM_a!a`f#7vFe^9L?EA*$;gyE+1xtHD;*Pd}{bbi}lr;t0
z4|x}ESv%O$Pdho6{fgt+4LTy7(N8hw(#%%E<O+_}@rsQzF{{SmlG^>ire15^haKIV
zAv7O$+VnNeohN*m?G+zfoQYEMka@dS{#g1$hVJW+iBB(G4zo1ruBT;Kd6zwE_+ChO
z)UJtETmDN^w$DOJ&K?e1S1Q+d5xC}>+3^v3|MPMltnv>-e)HGPE9dSrpwZ>5RaIS2
zB;58Vp4^jL`9R;#>(niM+828YcXo4jQF63Colx*syF*Zo8%=V8R0yGM_g_Oo_o+rS
zafX3d#bz%w`YWUBQ#ltg+IfNLT*mu%7K7Ub@26NZF>_=S_Z|z~6bM17;L^1*{7Rfz
zunx~%R^LdkT)HPQ1997q79^VZ<k1(G9D@DBhnQ*NNJXKZRWj3H1Z5eM)%FtViOnJ*
zERnLM&eS>w6P9lVznE<}q+d*m@36U=9w@(h`Wx%i@)D*aqZE-|=E*?1PtUThDJi@^
z@Tpvf*W~Ekw>Cd)zH;>iD3rS{n@y8ez7v?md^k9rso1-kg<q4`u_Q*aiLm^!W!T9i
zNsd`Q>YmFC{We!(!$6lzeX%^Re6@`0dydG_pvNaJKhtd5?8+;#M``)#BvBo?OQ=~S
zevBH2J~m)DUH99P<qr4gS}J9yV3+nPe~Qrf4uzP|z-2_pD905|>lIHFwn{q5R48td
zdN4~vlxpO%$aoUUjIPr8>o$0u@4aR~oVF6V*)f^*YmGWbIPI=eF{Karr8g2W>3ig@
zSg6uBHY?WhIb3Lbp+@-sx-orwlTXTEOWC2V1RJ}LQu<HDI!!CN58J%c+=#nQo8F}w
zOYf$mJ)G-y@b7aKU7V;)Us1Ml(-R+dNSpay(9oFGJ=GVyc7;>XkNUgGciag4Oe(hr
z6t+k_sn(b;t#9auv|$e;t3rvA96dF@aCVz1XFl;FsPxX}afa3Y;;*IO&QbOXHEk;4
zWt}G0HSSd2_^gzmo=NejeDzdrnLO<t*Y_eC`ZW6<3JrJaO}!=DBtpJkbl%g-A}@V&
z9ZMg(g|9+Fy3F3f2$O8-m3)ax^G~W;vWZWL0SBmKCGS4%3m7smU4Hu0dwWinO*bxA
zTlKwVShdO!Q$v&*KwBJNVs~u1`mb@A<G;sYQj0Eg(M^0pLQ40yDBlMKEh$#_^yw#C
zlyR!1m}g+KfT^0kt!)uPEkPs$O$}h1?b);Z?=E88-N)SSYjohSs5QJ?xptqu4o)d*
zBRC3xJOO6gW8GUmJ;T0B0HG`JO;RS&iyf2{E|Eff${gwnL{JXcp={;7l4JUDt<!^`
zpiJm(v1OLyIEB7PTv8s6vP<SWj%|<x-T%J|`|?1l+O_?)%?;94C`4_FjFpr!zS@-`
zL?p8Y385&nsFbM^k)e<>%d9jR(u52p^AO4q4WuIT?^^MmbAI1B-}&}G@B4@Lu-3Dl
z=f1D|8e(G7m-zhdW|h1!3-EFYne6}!qcbHEqKS>3LoNCJn5TaH_z~#<ok^M?hTH>!
z2pz6cE_84ueDmA(dnnF{112UIw=<Rk*0xB>8!5b6FM$AL7?J|A#VL&mKwFbxoBVR~
zBhqjW1+2#0H89}*d-xzI!0=Fm6DO*-fX8D1$Ug%2R6bllr~3%Ze*($H#E&2@2`ElL
zo6c|oZ%0}J_+|lfCL?M4`bJ$pTj4l^*8oB0)Io!Fx;QXUT}_S67XT9~zlPs?0|RFC
z=L_EZ(629tG-kzChnv~i+0oG}E3+yL<6*?A%rb;*Rj%k5j+>8BI-yE|lll?(7&$nY
z3kik%$13%50l$F2lG3+tb5S_<a<lVpF0ZUySPHtIsgO67TC`#QQ@3n1bcA&>j!;OK
z@VzOPIJ|K>H5^ZXWmRXV53p$rM?mzxxz*A9Ap>ga0l=l0U+@SDTA-8_8tZp#yPpXN
z8B0K0Lj$G_8hiHO1T=%$27tQRsmow*2&mvl6qBlJY8t9b3VyU0N~ihI8h=dQaUr=&
z;fznOf!{xY^bc6X7j2j9>Fb+7(oIX=3lLLr=EEL&z2R!`$iZj?aTnj|5(dpdK?~X0
zy=xA_Re_a>X|sLnDclMWTrdoQhzHbZX;D!mv0M%g_KbTesNi-rI(oq^EcyuUrQ`V7
z88e-7=n$67kEd6ylPb{+ON=Xp-3jTH2P6{X5I2}-+%wcsSI2078|p<!cSxBJ<~jPt
z$pC4<6u1G_W4R3yVw{(Nuu}xJ6do8v?$E3;m;oUeFHjlaQ3(9iyYD3|h3REapC;5X
z3{Ju64bEQH-(XkE{BcfCYL=ug1{)E!TTncpE?ypudw>F(dFjfPY14Wx5I;hcRuiv0
z)YJ15STb_scu00i{#eYPa`uZE%GrnqGbLy`PA-^kL8TYy2P3{DX4H6e+SaXO(VpOU
zf1jU&7~m;KW5V!<MeB8vN3o!IsS*T!;AEg`0uD6*NUQa}y@`Q3*ivLj>BWl@*Z!0i
zTt8lje+UW=Cc(U_%NZ~sk*;lLqrUB2ItLy<(r8z9JbqlkwqCS)3d5t|{(|Y@XB>kq
zca!n%sN2cs8P^7p1bZ!tvcoen><l9F;-j(QAO!ct6l$6vIyk{HTeHrnodMq^iMf7U
z_LrPDHjeZ2g`qmAV0fmP-T*@b70*c%wCt0>2l4;t&cM2fG%?0XJ#c`n6b~L6B+uP|
zsbw?Lqw}{bi-`0`^A+B^#}$aJM&DQ^*5YHyqSdsCee>YoH9)!RvV_SfLC`$1)0?ri
zh-r6WQOLnm1nY>T(?S(O3Lh2~b7#&(du$sNOfvNFE{=hX24*!N=U@P0U_<$Si~xS9
z^z=%=sYQ-|I@mh(4>RK;t>8$ZaC|WZ{sS&{MQJHg51qgRs&#%bxl(xDy8W$(ku<7?
zFjEDcNqipD2~aJ9f}ukz=dpq{3)}p)7Lk(r21*No38A6^7XWVN%kp2vNzfHno_+CR
zkYEs&JWaC*%F;_iW`lTNZ~{!^z*<z+nFOVYaspl`SY{C>Xg8I<2TW?j-`-9C>H6{y
zc{}u*u5#=*!P(!t4Xi-<8f?nu$ZQ%U=TjKQfGz|&NKx0eDfFC`MdDIhwzwd&k(jIR
ze<@rh{d$ndLnQ0OWA1ae#s`v8QYp~f(t_tgQ3tiDw7}f&*uE=CZ+fg`mKj-~chKtW
zH`tS~Hz4I50y5+v#z;Se98e@Tf+)$pV#8_#TBWf#1NPr%Ri7P;h;Lo%{jK*dU#`ZK
z1WT+4%q@&k0kqD}jFsTe#6?A+MFEe}y~Z5B0n9Ql0<)Pj&`**P9N1@Y=#0Yb2rR==
zz|wL3)}z??7tGl@sJ)`^+7+aJ_xc}TdKThFNF31<lZQll5If!g-N78Ut_ntfOJJ-x
zy{HRJomqHsytYEHq<U-|dLoz-?$7f5-};G9<DTwNd}He_LW&6Zg*cK<7YnPCEeac3
zYU3c4IvqPlS`EFT+sQfme1R9xWf1gqFN?f~BuQ980;+^zG_N54k*VOJ3ARW{cOB_b
z2N4OY5T_9^0zB5ccJGe7QKuY2#@xcz2hvoujK~Uy*cz;^9yF!TU%1m~vGW$T+hG`m
zuYWg9TU|X2Gu+M2ctSA`%+pxJA)s*J34ihS3k}cjjHK)2Ye67_Vq<?w<Gaz@eZ9R&
z?&GlmYAJKA3;K`HCI95w{wo$F{GCM?ND%p&ke}ZV@&Bv-sjvTE{^7rYNdKeB`M3Ir
z{D@VS!}YS<%bSLm_KAvB@3(TGbQQhP^HY{S#bPOuRH4Zsz;t!2l1`23H)FaLR4ifW
zlE-qQc3hJBP?Uo~t&VSXS%_+F;PdMo0+ivnJ9S^Sewc2fQBRdFQ*m)gV7vCs%8>ua
zYi<|X_scq)eS4cGf;M;!$r4gEBVA2bO4x~UE6E21oU<Oa<;*#bp%HAq7RnHbW&8YG
z(&UL$fxdvfwr`gZBb$15X#`P9Zyo;}UC%hIscKFAWgo-PWoyewW%2Pgb#7MnqVZ@}
zZen_qGqZzQys>|iuT-q*PPx-+iiCx~b>N9Jh06%b{xxM5AGR|L=f0QBe$6RTEye$(
znyAlq6f0}aNFzK>MZS_Lw2&YgF5A)gA7r9`@XF%2rB=J&k7J=R!-)-nTnTzf9HnwY
z7u$E+P>Hme1ILmyj97`C%(R;$&L*J;T85Yi(VxACQXGkL-e0+FnOP1jtBp*`GgsVT
z^o@PYpDe<lwslDQc4>AtW7L-1J8bgHvlxk#qfXuROvIaO@|;2on%DA}%YSeU9X4-d
zQ+fVs#F|==v9j_$U*+i9U)pY#-|dX|k0Zik!?@xa#?oRo_u!pX;__}0Nxn}g6fd54
z%)Uu!Po#IoX))z^eR%e2A>V8Hd_5~dWqaOkKfTHQzE378duLWGA(D5|>iPN@RZe$b
zGJUYankWzT7iqcDl!vU7*kT@)=T&)({kj61M>n7BQjiE!Ue33EBDazm9w!}xYi{2t
z+(dlw`JCQ<dfB+>wL~Qyexh=;iuJ`v%9fdHGOfGK*K@dv6ZXdP0mDCA=mdw}2t5@L
zcgPWo>}SLoI~fx{Md)^h^xaRc@wLmE6)AfVZc5nmMFkA&<}&y`JebAiXe~-KN4*w|
z&%M2(G;i31wwQNtVQJ0pM{MsF@lkTNx_>FnK0+9BD|1`-zFx3zNA=#36U41k5jxBs
z>vIWx4n2D6qiZZG=_2tu`bOh~u!(!TzL^%o)gK(=UDaYP)CGl_!2+Lk^`+%|c-Brb
zxLu`XPiAzqLvI)%Rd(*&A>s$CDK+8uy4Ht#mCm!ryR*hvyOoF&UG@5YJYl`l&#T1*
zt*o7h^fDT;PslTH_{NL~m|@RfXS6>Sf}V5>t-e^<>(S>hwW^aHNe{0~-aJpgUG$hi
zWzV5NHr5pmEX2NXIWE?FgC6Gsp1(BgtrV$98uO<F6#rE5vp07ku7(Q>UYxC2z&srH
zRGxNI`6;`v)^{8CRoN9Ldu-bl_zn)w(&dJIyooPMLS4^1W9_FX7;~*ry{6++mzU@B
zMRhPlPgIJsTK43%;Av@%8Xmz@C)4=ft4|6od*hkJP8ftu{gv@enQ66bPQw?~h;=?+
zD?MMwZmxC+7O3Q_Of^|X=n0N98eFVkO>34h7$5Nw&^R<i*^qOsM2l{bZc;H)SH(cE
z)QtEruC|R}H#Y*DzwzrUjl#unJJ6al0tOD6`0tqZzidaR>M*TNdIi*z<UWGOL0Zbe
z3&EmU4W#9@>M@F*_m3V0BLGJWgncA8zq|V&=~QjoibD|q=3(I8(#Ma}>Gvw$DgQBI
z4VbyEFJ|E4G72)av_<g~?9_NiaF#x0^O6l02s-*wGMGeS1_`(e=RN5E!D(p&7Mr$U
zADqu~a4>o7Vh;i`5q|ypI$>ebQx$@AQ2IM@erie=Z9X%#?ES>|{*z8lgJe!fmKkJ5
zu=YYKU=}<8;ShpSj1+dpDS&=j?bCoTl~dID0woh=F^&Z80Tfk$QwvZFgUQ4+40w6U
zVA*ey|GDuPFWl@P7+_tz;smfQoGucOhCO@sQF;YGJXz;~N!uHwEtY-jaurmxkbqij
zVga6~@dGTEWbIh7I&j8)&Vs&DHy>EtpbCKjj5&I_nMvGVcwsw`e^8My>jhH?ohEuc
zbQ9_6)nr@2x0N*NMv6RmumE*Q=P{W})$Q%3!VodWCv1n0#yo6myCy<oEhn&Yg9x0K
z<&fu**?>_Hjd63|NAV7f9_s%HaVXkcAVEfKIu!+}E9wyZcBDzZdUr(&`t9YYEqz)a
z0iRnrhtD;r;vT}ozsnNICN^jPFI2yN+37W4*H^voXm7udaRw@C<beF4vh)lMWzQ`0
zb-`K#H2D*$*obVQz-bNyU*)kNPHMxNxkanr2H`_D790Vte})(w8~zX2KIYNzZb5H-
zQ`6&CR$MDrf~_mH2`%JXwBw*`q$DODTUmuv&!)RZccKp?Sq4}=evq~KU$ong0_R|h
zQzob+aR<RI21NiCE2QEM<R${EGkW9Ui`Ro-S9958RO$&lV?MABf-s|NjSDyiP?J!a
z8s72ii`fYmmou&I58~p?5!VI`cCETcdJtgV`2m2|o+jCW&!6GXH319C`c3Nh3ktsA
zse8Bwd}|CuI(=ppw{0_ubw}jl_uvT#pbd||YHBi^)*siXj#pL&f|8~W%w8G<4U|Qo
z%wUDI<3?ln5&r-)kHnXApL9<PPM(O}dtTd>@u8<DF~zXLhZ%MtL{EQzhBIm<`fWTB
zT(2KLd>ANZaMHzv1c}ikLy8FvZ9SS*_=fiO_lK;MS+{-rBVIfBJZ}0MhejQy4=2W?
zO2pj38U<B8B{6mBwZy-<0Evl<`L;;F*)QFgg{Ae|bA9FK0=~zdV+p5=4K|e-_^T#B
zN_asvL3I84@mimmebeM6`cv2IO2XlWjHyAR8DQN+BG>RX_nbNUV(JOd5=73{F&NM6
z*_(zf3qhltzSmuAmQi(g&LId5Taf>H!L8Nw*s)Kjxa0F>ft?UY5rFi8D-yQ~bjTr_
zHVH8?hSL6KkniTXiMD*;VlXe_CSZAa;ECIJ=lhL!c5`fe_Z|wF7fIMdyjodM|4Pnq
zzX3AP&(DWvu5AAMVo7(xriK6xRyPwjDuUtMkC73E;RZts&@v32b)B3>K)Mjmyocgn
z;|JvOAWur4Ib53pKlp!qfi-B;b(F@LRQ~$wDNJd`Z)SR9Xb7VaEP**!=}FlAU>F2U
zz5$gtthk+|ukoP&gQFhFVz+O}>%}5~|Hte=N<1VEZ_)dpeWD;eFY9N~DLP%BYcAY3
z)dj4=Nzy>n>=CKYLfiseycL}H;gM)5u(<}RAvOR|k?O~x#KM*v4?{YPfnFE`1V|lp
zWF^Tecx>a{6|hAto8Ka|!-Tyj22u$8eB=#|+{{G69^jYC&dyE@CNW=_3;w|~<4$J!
zND6Xs{Q`jsb@~I4!mwu{y%1AY2scS@7!1P@t$EzmcH-s^`0d!uvr<Js@h4{tt*;^M
zHT`k<TiN`i!5{*Y2E%))(Abh}uBiB^r~@1G|4bq7FJ8E?PDvH-qV!MN$^2mV&moxh
z!OTD>=hlOZ{u_4d+PLJ7EGMQjUeV>IO?`;`-6p{~=C(}4&|X*SuBuALtB#F&e$TAm
zQ<mncz_;!?!*HC)>^<6tkN!@@_xOAhr$%WDe{be2t+~KXKen2SK~%4@q-IlX2&HTK
zVRU<WiUy%^XM)E6^W-{$$6AxRuH$vqgI(0WtXv}-oR`je_@onE@^pbwWxiERUDKB{
zOlR&aC(`dOrfOUfAS@*~2#z5}-wT-m#qymCRb)im32(*Qgx?ou>cL&Rlzcx$vC`Tf
zm+x|3^?mOd!AoN_JA&#gV6&vn^K7m{oX-tLwi(@TWsmdue2dv@6t@U4UO2k%?@<Xw
zBKEDJUv;(*MP;zn#7`q4R4tKb3&YZQ2U^*-1QCK>b<OqRoeIT<43=ALjl`v&iU|>e
zHHC!!f{{lVb(I3S&a-QXv>ig!o$h;>-zXJ+vDt33jTlkr_5T@VwwTe^W29!a?6C!1
zukSc@gqV91#6V%MlwKG`O-jINpF0PowAIMG#oHgu|Cva(-POhGIjOUc5{wqZRa+q3
zg){X02L)otD2b+!^I*h+uaZ$s$|N|9Mr;T#Op#kksOSj({`gGwtq`$cL%3#x<6@OZ
zr!}1SO+BsOD-(A7u7I7<;?;#J+FX%@uj)+Nl_L%eDh3CHLv9cF8#gkPlH;Z3-!`n&
z*7Z7!zG+E)IYs^D);aczjEPk1r6Q_BT{Qh>#s-?w18I(mlX=%EsUwx<t~alZ9ysGg
zBP#MU`1`FH_ZpY`-*{gXTq^i#T~%*Bx04_Y&l#(yB=Q|-d7J7+*B$A7$ZX}!#n5a$
z78hV{H*hP7n=sH`K^TO4)t5GM5_u!CCi{k(oer3e+Qjfud{r%$>{K-~JV>Zyw~4f}
z-g@#qLQQR<H@FioU;LH$=tN&`7GJo1!6Zk68F95emPplm_xk!#Tkid40h5Odejg5r
z*uJ@*Kd@(zNhRXi+E*`<h(@c5S8nQQoGMdh?gM^?Hz*HoMy)TSjzu!8_+6qD!|pO5
z9G}r2vWN9n&~=XJ@MOn8zw@USipnou<MT6wzgK5U!&Zn`wXi90*z&D1u{cLrBBarF
zar(L??8M}>6mgZeTxk86cY=bb&)Idw6OIJ?NMX6ST^pzGOww%NhKB=f#Lc=bfy2d_
z%0$X-wud=ZI|!DR?@l~#BPrpd{1U3?!&eY%M>BV(I^_TCogo_I3V044aFeJk-bzW;
zj$>MV&(?H{vAzGnfo~i=hrnMEJGuYt6FxPwnDT=yacPfEvA$`Jq@QUi7Iu*=@^P!U
zFeJ>dw?p0YZcZ~FrKkxW+~(m;X7BISd&Y<!6<3CrRanT+4*|yrmTy}^8pOmePSI38
zwk7616FkiFbK)Mu)!7azmDkgQcq5owP??Dn@HEGN99Yix^4o1tN$H`aV}Y43%7Pj2
zYxDEP$F(}+2SK$5MFAyn2uPU7ow<J>gAFo;oAjcR6kM@FR9z2su*I-kV8E&67D9;8
zqU(F2>_reBT+Q%8DoG*mAWza-cuy06w<jmM&mGl<A6yI0gE&Rl7LZPB;24)gg<`V4
z|8FQC6_CrIu=3buko-_>!&jqZX5w?KysJ65|0o|;tXyg1n6Rt8*qcuU#&P740`@By
z-DIKP@puf5fAIPKj*Qm){Lh^wvx`<Npz7NHU7_0{N~X{36Zqh8m8(KK0Eruwhi42a
zBB&sWd=KK6iy#*Vq?DLwoJWXz{`KRBxTIt(3T%9Hi&C|K09)}H7E;ug$_?|@5c&tq
zwOchC!*Sp{<+~p2DGvn-#x10-rRBZx{2E$%#2mPiegW0FC?~+@x+=poec)!Oa9seS
zV}AeqP9MYqxGu0v(8~%%w8MiB&Lf*;5zV;${6PD|d^M6AVX$uQglcGL062?)#?`C4
zfKKY<mf>C#bFgUo1>7kiPOvIt#z`-89I~>`fKmVGK&QrW;*dT%7WqV_22vWWY$
z!`(ZQ^o**XLg5ww>iOv;X7m_apxC{An?}W<3f}WKT-GU^)F`+PRGZ@xD9)Wu=@&>B
zV3n{$RQoo4pTR`o-Fytv5b~a3@(+SMrftQDTF3WHNlF@@n6NGOa)861O$026P?Rxr
z_4fXH9*U*&t@Yj_Uw?mpz}PPsa0tT@h~(isc6G!Tg^M*xsIOnYf*S4R?F|-eobx^`
z8{WD4JFyL6AoZ>{`g?m{yn5vW{15OY^Dw~N2+!9OklsOjm=%p2-*-SAaVMd${056!
zay$VW>w;78Rg;AcMuZ00QsVR%St5-PUL_@gQdU8)y*6h-cECczvQE#g)rs2h6hifP
z?_>Z6%E`ImIneoXAs|(1&YF<cu?1@?*$Oq>R(ONp!72tbAIJRirtS<-XG|6D&HyYl
z4nhhL2hc`k<<4i%g#KWTdp+~9D$r1|yn)9H8RM9K2woG?uCCrF*OK={GmsM|%x4-*
z$?@goxjw))0Z+wLzw)dNGKcycTN_Xl=U^lUsu3Cey?lAVWH)e0!t}9AX8IN|zHu$$
zqN3nK2U3ayQb)WOV>AQsQd~j;sW)U}tD2Bn5GAaRp<HIv5S%wp4b*{G4`sm<*uA$-
zqBvPJKmM@aeT9Dj*uI*0L?!vY80(+_mPcj`dhBOqWu$%7>27#vz@8CrXV73w_Itt5
zu6rTg8&xE3aS`DE*4+`|;TW|<+`M_*#)gy(qnR=^sDnVGtnBuoGk?=}JT0))ndX<e
zB5n&td1!-3uWQ^{l$o$h;^F2_U$h6JRWv$~%iuXj6-LL922t4<38v{U;*nz7ix3%`
z*YF-`eQ;997q;9>R&JtCZV-Sc6STX}U%ZHpiNSUPOM-ox2O-@2I{u-NfM@BS)X-G!
zO`A6H%DYJTf>(x8F1QNw5^PZn(Ef}A_a?`|xUe&;9$$}-!IG|xkzG`ZQqj69Dxv6e
zLBVFoobU)@bV@3M@z}S%#>$;16h)ZFi_p@~&u<#B7=+MOr?r3MO9%KNCukcuFA?{h
z!LWzyHAxSu_$IiUntP_;-2hla9J}zsAqcBr&FuC;4on#FqL+VDkaUjwk?VBsH@N7{
zo-*}jmPfFTu-JPMT=Ho=CWgm_F(rf+1?DX9NJTRNKdidC!_e--RR)bFHbfNGzn{y0
zWuB)lS+q;QjfM;wjddY+hPl4WHUTP!llM%+gnym?1ay7pA#8Oq7ZBluEGr*aN=Moy
zrlyvIGPh>U)B5_&3JUEokkkyp=K^KHI>(R<czJ|*Pj)3a7wIS!<l}qn)T=?@TNdW!
zrJvac0B1$~ADh&~Hbk96G`!O|NiQ(v4O)etXrBnsqPhkL#jZnKh7m0}kR**@(X(Lg
z=U`*wj#L|TF+FH}L9CJ<Tk?>!*V?p6FDwy)oCM6<jb9=gz<=>dCxHJ1HYEI+GCZ4J
z970TcsvKWoZZ4MU84OK%q|HfZDR2z&udt>w!3M;SLOzwz*2Oq~=KLK)9YBOkwS5~v
z6@ooY!V(bZF%cjSHjG&ib<_{rZ(V5*Y)LRkf-!?^MsQ)Zde~+V@F76fKVG7HXBS!$
z3Ycv^J>}HUhjSAJ{q1qsCduB!H2HrUi=?LC6Cyj4MT+Pmbib}q4}18~9m^lxoe#Xd
z!R*KGSj~V{BM0>lEEE46{73}i#}k1IhoMJ?EocwPhHC&8?Yj8&zf44yQ5#Oq@5|R9
zb|!lu>(pj2CCHIR70ljozWqL2eG^mf{rOsWxZoC0AY??2LabiXTM=7Ur;8Z}?|-Xa
zP;hKl@fframlT~n_oiPKz0fEM<3@dsRju-j50;+R@%xpjMK61mvB39on{;4~`o{^v
z;l0NfBMGWZ{?0PbgruW0_n9S$-_;L|_np6+Toinq{-J{_iQsg2?YQUk$@@$>qp|!{
zk6QOZ!G!6RG^I15obQA0#wSdi8}lThmU*c9+4cWoSUPNz$ktZiLJar1>3qH1Q_a7y
zwE4ZMpX*qK<ExVsR%?A1&!*7|Y#mrtj7-JKKD5(_3(?H90*e^|qPLcHr|32##_~_!
zv)C9*ikDbk>-C^sKf+DyJ!MZTYxj;MqGa=Vx`X;;C{vnYi|)jw{dNUUm>A_y7Vj7T
zNolv=s6}TFav|JYJr7f7tTnbuX57^<5=jY9A}obUwzI9ZVs(7K14JuNiOxMUm-KTZ
z3AI(83XSD=6t-=?$8y!=kO=KZy&C=?@^jx2%2j^Fp0XFr#8qiQdQJ|rFT=KQei1vP
zMTGm>NMdok`)<F^+OLZ&N2c!3rc!+5iB9_oGrt@Ch0Mbt4|(ntu4mF2pm9#~w%M*9
zeaq2Lr^%-*<@LXj<9v`YRL!$~c_~S~8mfQRv9L7iZ1v964R088Y&{FuW+!zmBu_W=
zKNEDm&LC=(_m|)3I_*|@1Fji{E_&Y7OuyY&9wj_nZ08DYfsCYY9PyYh-Iew+H>uSi
z%!gK&Oxf%^ve4J&y<`E$>aW#?^s?tq`BiLm(~cepGZ9uj`Dx|j`fC|nkqn|0*CK=b
z9%V(_DH0)iPCG?yBf?i@R^}bLsP(l$i?TPlmneUHV{O^#9gz%flTlM97I)6t6FnCz
z;(uqoojv=q@Vwm9(a&p26g}^@gb;mZqukvhl?_BtR=LH-m-}{C*d<6X-wJvp;h(&V
zNK77iR$$P7h!|I6%}KT7_wDZJkuq+LGH8#owGb?p;vDMFt~cE+Ta+bDQ3-rPG2n2n
zXCzh|wWay962JHf)9SB6x5??odA$;@ZuKz^qRL|C2Aj~#X^`~ur|Hcl=NI{Y6Iej=
zQv7{Z?aRH%>^?Vh%~h<cX`;G*m5M2p)g^oVCjPonaQAp!z&F~#BlZlX6AjmCUT&+o
zeRra%-+bcwSXF`0*1awotXG`|mk|9_dwSIAzWYZ%-qtG0(|KCjzSK7^^TLw{50<NF
zS9w>99d#Hnk69L(;6U*`Xrx*cQXy_)y0EmgYOlG`4)5wDW)3IW$RO!eLgEk8&f$w|
zEAQI>2qX4XhkqJ<|N9_PO$5-{p0GrxY<KB?aEwF2xJpFzQj~Mn=F$J)SB*3+xfr0<
z^j+~!`p?gl@~W!ijdxot6c?fznvd(8aNZ^-cM3E9#Ka>w(R_X#0EWI|u3)&Wd;whU
z0|%OMREJ%=hLn!4pFd9;hJYhqI6qpQUJp7vfY|RO`8{=X-fen2T7tb{iKrMEVFUOd
zi0zm4*U)aq%rzOh9b^t3X7A7nZi5$2YN{wgG5`$%uzEXk_?LC6DxEHS?vIM>_I5E4
zFjlX=1xO4PD-chx(v3>aVDp7R$=Phuki~TF&F2BURS_`Ab9590W{gyfY;#3<`Nx3s
zr;ueMvt>)oAI^7Hs2JL@ee)H><G$K>M|=CsXtMUjF+wz>UqVU!=WTiCGS+ohtyQl>
zxdc|jSP>TwPdt)n#xoGVsx?P7O1<KQ{F0oU)TqupE6q^EB)iT0%V*T7FTB8@g1>;x
zU-}-DSx38_pxhSEOsc7^sBr)P{}crvyp65MI?xKn(>rgsXE$De-@1lfZ(m;!{YCKC
z+PxQ0M=YFYG^Ak_(5TCn?K4=JTMpk7IAMRN!+$lTqh7sy8H9Pss~?8s<)6Dkq1y1o
zh*X2uoPqIbknYg{5rAd)4@mwLix5*#cyee4qz#Jb9CyQq3&rgE`Q9@TDW))TURa92
zjT&g(9n$pD$V5`m&x!9>3N_}~*PUQrgHFA`^7nA}2dU})Z1Q%Nb!7_>I9ZX2jj)cN
z0Ho0k0)vH9)cuf<ko^1~5FQ}vkVG&+zM!lCGY{RTSf<0_!_HWzs8+zWMr8aqC>hW<
z1KT#n0>E-rQ!D>rNLtuIrm6-Lr$9Ooe|7ahwa1UhS7UkOYFhfQ`EuL<;45Iwcoff(
zv9Tlp0{K$m;=^Fzka3e?i5eMjfWq&01rH1w;JPYUbhbdp4cbLqNhO+J<bd=$MPqQI
zmxBC|UkDkoG1H{c!sguGX{)xt?g+&$3g*#)cdwwtOxO#{$*neZM*ytDO^c0#1No`-
zdL6a3Ll|Iyn**~gRN?S~!MN(ul`B$Pm3?Z+wIei-k`^{(TcD4^>vu~!yemmff=+rK
z>SJr(<y5M{yz&(N_P??;RZz$47#{xXBs<4J?X`|;nXl@d5G-wW=ZQ<G5acOf7=C&4
zb%d0e;uu$`o88Po$;+pX4K40ctuL}(;hW=r#w7IjtM=g9_VRqA;WHdW>{soeH=bAS
z>loc#A6JkE7?Lt<Zh1F){B4gm?R)Q7Z>RYWI`v17cg5tpSEFY;)-0iY&v~=Tmve$v
zurY{n*khQnx{Q^(B)N#kppTn)cyz@2;Ed>gXPdz2V6_#?lNm%e<}FK@X*f*0S9qi4
zr;hV%>Rm}Jo7Q4>Lc+{dJ3q}kxTmo1lhsSc^1^V>`W*{=6J&brC%^q(LR_Cc@t2H#
zKY6y6?OM|Jrg<k>ZY*8(<JNY&>0RZs^h2*pU_0#Nu-_(kqH!H<<BM!|U+Kp3_*-Qv
z94b$R#=A?kc$-*H{J1_vbd&m}E{jF8DJ}J%x-;pAKG(cj@<>{FkiF}`U4<{_{T(UC
zTI$UGf?pQQPxK29C3`HpaCduVbP0}e0$4J&dqU?CCF*yDBkdB~My9S+rutd3UrqAr
zC<-Y_G7~}1XQwAW$z1B`zfkk0IX3ReY`-5xE~aj`pVlgNN|ljhe5g`%`vR4!4hiZy
zYi{C1L73~}Tz`M>_j~=C-kB1K{mX-LLW`Jv*I8Z2;4dvQaH?!wNovh{KXtDmM8&Q~
z^2QJ<>TeGx09cml{mDGM$)#MAefb-?=X-t}qLj89f7>W!EG*prk`Ul6_s_id-he3g
z6jdF%aGjvNFOl?5_!jf*TU`ZL>D1Y+y-6YQW0gko**pZ#J5ef&M8xbSsT#fyRSRyF
z*RSHW&Iw=+>*IbP&dzkA@A{N^R;ayM!Ozt9g0$omMz(Fe>&xCt%Lmapntl*h#k21=
z%Y7`lUR%(~+`wpQdQ-Gaq9~H6e<tgGlVy|uA;0Hzd}v0?z2-x`TbcwlXHV}CE`Hd{
zXle1By*i0cIYP(Ph1s7XQBrT<ch)=Rn30je$e7cht`za0F!WhshVK&#ijP;`n|G`;
z&5__KY&N-O?8<O!yR)iaNh>SEC%aq|a|xv-@*LZ|PAno8FYbMV=$FAk$%kp?)0EVj
z*IMdX+A%M}U)8*RHqf?!7|HKVB1zj4ya8%nO=^8suR;?R5WN+eP8~JX6t%3`^dpb!
z{UA8PM4SvufY)Aa2D#G(|2NX~c59UI7+|G2T=cm}KIHj-b3@Va!GXDR6(+sdoN(xY
z-wC7x5CpcYL5yv{{X%PL(QK)Wq&u|40N+4wRr2~xMh)S3BuQ5CLr*?_xc#*o-WU3-
z<~Qwhd_l0D;mdSk@a7+mVm%y1FgqriA!mU|%A(2=9;j~JWrsrqYpSY{%m*BkBymA{
z1bW{m9vM!Q4?%OP?$`pH-KC`}#P#df9pUK=d*ly;gXwx{B>oAO-UWYuWFYnKywZ;`
zErI3@1NR*4r){mR*uqg!6p^hBd<hW4fn+M|>=r#&ahR=~A4cktDH;GPfq{CsxuyPS
z14@J)6)&6$n41^neE;tVq|WqvBN|O_K4fGJKm}eD(k8F(i`hO<3h;S=LBy(&Fx>;3
z317(@-yIi*XM8Jo-o_Vo=IE1(aBrd=w6mLBd>U7~10EB&4=efjwjOUj0orYE)@2e#
zBMI;YfPaD{y>N}ggfR(+<fml2BI%MQj3O%D1=Q}uf3O^D+dx(v)#n1rNlLK6nVv#V
zji?eS35h*wYIqMpq`7ReuHiqO3#bN|D+OlWFVU7~wUj}(2i(w(z@^CSTQ&lWg%11W
ziL_nFev6qu;S@2bv#m>9;0wP&D4l>$=%+Md5(ftA&FE;z+NQr2c7l9?(d!pjhTv{u
zIRcVe#LjNOV-Cpi@ncV@`S76_EAH$AQVWpamR=fZ*T>1J7po0`0z*sYQVi4^8h)i2
zMg#;@&RfG>1J;?Ik|M$h<^uo#u+1^KJ@zM~`ffobco&$YLWTz_B>x|u4q!n2A3rWz
zxe{>_b_Dp#gBiUjd(ieaHZ_%a{IW$P9TA}+d$7z8SP6VoK-gHp%e&wDCY1ER<OrqT
zUFUg?PX0qOhd58X9|EACxI0tLK{f$Les;`fwkcr;tE=l6R?)e04AmphL!yLW9IlZc
z0vXlZITTKXC<Mr1x?^jBdTb|<3XIb!2Z}sSqZ)=&3l|b>y0E+r#xgp9`oDNLLMq_l
z!K++5!Abp_f&$}5(h?as-%Qte4%|mzyR;ENOu!^a918a!b&;U*8Pg;^$_iOq{Uj~$
zK!|`#m+GtHW$pHpt_n{ONetAUVFMmKc+VSHyZt-%==Sm#5-t9Aa@!1$5DUZSSA!v_
zHI)?=+u$h(_G{+dy9A65U{Yvqwuuz>A<Eq#ca?e=z4%eoqiKN8ji@VNJ_L}dqr)3>
zgoc#|^z_0aBMqIL@{*Ez@uom!r!Lubzq*l35Nx&T^uP4g=ya?3x_Rx-U%%itA{w_r
zS}KLKp+mZ)M0G_4bpb}^8W~8KJjT7x8PZBuSDpb-02(t4hXRG%0j6Nn;N;=4wzUNg
zXbvW)wK1HMJ?71T?_GwT5Nl<p@$@;@jmoT7VHIj48JaDXyahWGnuSnvfQXQ@-5W!^
z47i^Vxyk}^!N}s*mzE#V`ytA$oO}FJx%HHfXe*kH4G%931aZkwB3myFOrqOHd*mRU
zg)0xG3r_=5PORWGQc~iBs^4Jx=#e9!)xca6B`_Wj@PNC<n^15w{f*mUeFpg<i(BpI
zmzI5D!UQft>H*Si5*#1`n?zC#X`G^b=7~lU5=J_<c6woS&5f^!hjHph{OsL=cgW*`
z1_TK7;OEaMJWm2olzoiY=hO3njF0-!OTm<6e{J3Cz~JCX)Td-cj!h_t^elz#9svXA
zfGbxTB>+W9o7Xwm+75z@Qxgw^5Ktwww6tE-7vbB(_M1TBd@%^yPO)(Fhv<PcObSZ`
z(H5C=4fU0r)KJS|Lk?fmj{$MUCr^GSIk;J7ZD35`W8hx|?;LOMY3vsy+<hQdRUy~`
zTh|90mohvvR|FJeA|snhd}c|ASU{l}IqwP&X0WG`E;4#Z=hG#<{5tZjIec+mkd84l
z8Bx(sICr3~{4<EaadX#5CN%p$0*MC;kG)k@SQC%$Mwusiy+Ut;_*)1Kz*LD)GJrJ^
zWEjVuo@0)Q1|ZsohZp!EI;WI9(YGI}g(ZT0Pz+)c4aIfb7JFU-P&>@aHS?P>F=+!s
zA}nkZ2o_K>SHF3)ROQT>84zOV(IgYuC_lOGAkHjLEZW-QR@@)HxlXxG5nCK?H)d*N
zjtmGuFzJLk2QQeGlGZ}7<AVGX5uSz~9=)^qWE2FN9!MGTaaWM6fLRIN0{fFZ{t}Gs
zb(PSjz>_N(*@4y7_Ta_!8sphHfL>Qv9oC0Y_&&i0OlUNQ`P8HBmCen_M|fI$;;*)v
znr|4;&4L7yA!d2#klw(x!3G$lChCjHI-}1t5NmjM#SfQo;eSL7eSg+(m6sIF>RwZ&
zs~?kD*_yo4!w2+Qu#KILe`G23e1F)-_cvsgp`Si{Us{^lG7@ZX=69kD!P>BZdQ{vv
z=y`Z{7;!{FVrh4)dlA9p#hccW9Gsu@<dnwI7Xl5mbDR{vq{^`z_G8f*+kBl=lSh{a
zc4Z5C_Uw7yKS5Ypit@C5X6yQt>qgC*P2}?pjGtOp1|=e8xN+)PM2Pi%fyym0+|=1E
zlrF_PDl++wLl<dOPg&;D^Wh2)hpUbg?-xnl+q^;{DOlmRLCU>feBo@RlYC8sn`uf)
zMDEzy>g&&x9N9`$zlUAFLWnwgF{_-OO6R}98|b6yphVpI)JpeDzw1Tlwdfg~S>t=y
zzCYkZQ}#)s_}khcKG)dy%)=F9);o_KIz(8G-*R>e>33jw^I3f8a(a&^Azb*<iZO?2
z>2PLlfVr)W2q!B?C&N-I&1a(AJ0M;8DPyq3ySz%~wYoIj15hZ&y=Qm-E6{70#r`Cb
zbL@%Nr>{Zxncrl%D^~9^&AT5!FZOmNlHGGh7<Mcp#usvIt9#98c{Ng4T6PQL)uiKM
zx4#_PO*jNu>`c|KXS^ETsqM#J6`$ktGP$23$M0<6*Adf_P^Nol-6-pin~P{a&5vXz
zS^e7B{5CD_`l0l59kh*B_TI#TLYbYSOLmF8Scz(WE92Eu(k6aw%61H^v*|NO8eSbw
zqVFSaYJIj_KRWoch_+_QGr^BN-$Mqvl1X|)w=`jS;C`C(J3_@s%->^z*t<G}|Kdwx
zSWT%%SC5JKHB(YF>1nem=%d`snJVrjd)9VvMlVQ?N?Ic)cJ0a4(sK@etFJN$rD_fc
zmfs5A5Rj9hLX&oR7$mjl)4I)*l#6}`l`rmUz4}~D=E;d0Iz0WCsyXlQmVf&3XmaFc
z|K!adUnaktSmAl4^I{+uVXf(LCZ%huCp}Z?^L<H1rBd&$hdIJ|7{4ttx!I)o$TwKf
zbB|noD`NrOF>1K&thVLkk>=!)uck6Vy*qOv9$p+6uk)JtRP}?cprhr+dzYM#TqnBK
zgK>5_``!?E3^T(QGAcVScsq`kzq6@3>hGpN`8mY5p}YCaq)%6C*m_I1^eVsI(;@G&
z<p$yiv4@UjKN6g}8Y{*sHoD9x+}xbz@nAV4OR_!JD(O5fz8SB@$5J|vW+<~&a4aud
zcDi&}bF$g|TQkM9$nN#6^xJH5CbCCVw@xfLG01Uac=U%^X``t;S6mh^rCj>H;_KW_
z%MhBUFNbsIS1!RPYqotP=$#DTs%|O{>>Xn{f7wjl>P7@NgSO4c+be4c4IlUD@h=Ql
zSH$19c2`V$nZv6|Y>T*`9vidC_k|T7i&yDjRP5vGOP0xurR#?ow0E2@lF5EWaUIQ2
zG<I-2_fedw{S(i!`yGoII9%HXUkIn=KF)ib9REXe^q37bXVbxqQzmwjSDkw*S;jzX
znAtkPY>r_AUc!rxQKU)T1K<$m0$(1WJrx>9r3=|NZ`m^QaV;%WO?3I-;2?O$D3oMu
zaIVPI`B16j`&xHtlmEUE0NP$Nv!a%wrPR>nl3j2$r{|eCIy&wcVfGwAIVuy@IW)$4
z{;8XSlAK&rs2`0s;yV914zPp32y3Oz=U*Prx=(Cav6zWL#lj+<dzePMp}EM7gr1E2
lUwyQ3bnN_s`Mg>s$G$E5<Cj|`?;-F~->FT{Qnfty{{Ro)xZeN(
literal 234327
zcmeFZWmHvd|24WX07V1?Q4|piB)yeT+KqyMq?EL%bVzq7U?3<ep&%tC4U*C-DiR_f
zAPrK|-F4>Xex5P@<Ba#qd&U{(%X#;Bo?Dc?_gd>(znF9W=CvLx$VpP~WY|d{5U8cD
zURELywu=!6lwy=y@Gpj0+fwkyj=NWH*boSe4@v(gd)7a7hd?++kh*+H+40S2hm)3a
z|9aV!;lYCk=VcF&omUH_E%tQ@zG1ALr<{`9`Ch5&T#n{z9d=C)PFYS(%fuj=Co93P
zTm~MjkTV>6M_DPrv2|<p*;3KnHI~F9H^?7&MJ`l{{+NC<=sH+k{c+-rP06!QMm(ew
zBoKaPw6q9p{zSOza&mI>rwYOjq0Jx8iEW`F{ouJPplmDYhhtm+&s(qz|7TtPKMscZ
z+}&bwO=;RI<@@CS&N*vRY#}r@C8;Fa4F0$%AkZp6i}U$KtJa;|^E>m_?FqtdHfCn#
z6DK}5DdHDV1NmEY&20v%UyHaEq{a|DO(=Klkdl(hwA+v0zN1U~|50q~S&k40>L2^7
zLb_aMWW(hQN5p=L-MMpT2lHvUH}6!F%^9i8PMkY8oztw7MOvOH)vMk2zIKP`y5A^q
z{g4_XCZ2bv>VW1$LfDN$`>`tSQZviiE;j<<wx4L9*sZAM5g%Idhr1bhO#)MIT@nwB
zh=_=c?0SDk26wFOApTV+otvFK%kJ2Jzd1&`&|XndG56^fF|YFm)d%s-1VW1EaeMqh
zApCC?qO!Br1VX!#t?lekLxMTu74t*8$eGJmmu7;b<5F*BmbbJxtu9W<$;svJ-bU~w
z_uY1s;8}TS*8^tp2Z4cszXfPVUR|__PZiG>=H}*>NTncj<J!px@3d~*xFIF=I6S<=
zG`-khMBU^RGxJBiv)SftO-=XIk9UkJC@bF{5hD<c@=5Q{xSXi`BV4e#Ns-6BrKQEc
z+ju*HFuZ?<kb>fk8!ge|5Bu!sSecnGQ9gh3rpRVcPV<|-?7e&UZr;3!MZh&1(PG7Y
z4{+-U*$pdeN-FLXU0>{dCc17k!kY5^$B*&RmaMV1ygbqp5<JJAmu;ofE_K(YtV1>o
z)P%JO1Si#-<m}k7gHt2>u8mEW9fzt7F8j@!H;4Hx{;lHow;jz7GK_SyU!EPxefsC=
zeA!kSeCxN(WFb)dgr{!SdIBL&^8c0czZr8CW$hnqN|y%0oI8y*G(u_hXaClj<P=0W
zXdm9`^T&%u<lsf?*wn3L1cKNt@hvpn^G)fx9z*q~!bUZud;9N<G^K8Ko(zG#js%q)
zi;jXvj~+R<h1VJV8nT@(SS@j1TUOI`Yy3Cit&ZQLP*Aya=@J$p!)`yd#>>;PW{jlO
zW#IJvjbr@pcCybEWcgY9>FJp++>J^}N#PO@^;j>WJ<iE#KKLV?cjRMNm#C0Xd(tI*
zb=31?_bBcfzCLgGLvW(#dO{&8(zmCKf+o4CN{QE`rFZVwk!f)iXJE7q;nIHN-1+l9
zw9(PgA3uInohXWp?fdiP$@cBrc?&=3YH69BJ?K0?ny8eRa#R!7z-QjtH#lfG7lGp_
zh>|}3__S>3?4KvxO;>7N=0}~n?@^dEh)YZR=G_0sVW>WCAB)_sgJ+|-1Sqhs!Z<O4
z={W{};-jO&&ME4dZwuOjgM&?SH00&wlO^Y>&)1H&<;nX}<K)g=!L4sfP)*j%Ho7^&
zx*nO8m6a-vUx=Ci<97sq{y%Mkep{ajenR=7CKsnWY|6vHeA(W9K29d&8kN`m`$rfV
zM^0WKefhgBdmVY)Bi-g(WVnl!J5mwa{Fa?U4Wr#3z4$HKjT-Yw?}}o$+FiGJiiL%W
z+11rmNJuEDUMHd9j-lbo;^Nhib{T1DB_*X7FJ27ukQSVf;kWImgYTj921V1A?7Y7x
z5%i1#wi(VsV%kq0KfY1wUR-CipQu&js7RS<*7DwMWnSe@8**9l%9TcQ*MO}0`ub$G
zbd9{))m2yK%Mua~mU?A!3@t60_U?VFz?$-#g+Rz9V%_{3o^Y2qj{g2<<`mwa_9xfg
z-hN|sP&7O|eB>Ax4>@X{Fp^t)R*2M;&Ku$zckDaux;EF`G`5dG2*Z8y{F<1buTJ@o
z-S96@PtWS=>hkjPH0?sweu2I=%hJ?_A!!+z5fO<B6)mkdw1376CvyJ;nWw6Ty?og_
zIGBKVX-tqykdc)Qdb^zvwP*7SM_(I8?4Y4ZZ#s>m)(zR(?WbXQnV+9eE+X`8eQjlB
zcIeg!D;A02E5ZaXG4lK^G*OC6^Elwrz+tbCcazE0(zNyvU1#egtAaTTRSpM9&*8VC
ztCOGY_8!Ma6iy&X8G^V=SEtJ#@5?i{@2{jg^RhGu_xmNO$wpmbzDM!%-PM@*RILy1
z&D(N=_*mK5W#r^6>fU}yb^e`e-WFzAa%PTHe|V0NzAM^(tQBi8q-uKN#0gF_m!3~P
z0*@&1>v#W)M9%xUl`u{z5u+GWr)>JNzFx`rI15WcLE+5wbkg`~d?*;@67Q%LSxNE9
z+{($y$vHPapEj<_T{QV=Fw#TEs{@JEz7y!T`{~{J(HqR(g@uJ!%w<(%<W8SYU%tc*
zhy9&f#{D;T!1t+M#@(hRKFZF{zGyRm`an-dw}UxeE<8y!IpNxC>twQ}+a}Fv+S&!S
zi4EGLU8SY+ks@{lR0P6ZLzE~_>y`PjFg|k)gc7ZOTdq0Ycj%&ZU$$|B8Kau;jU1Ck
z6a(3;F1Lkn+D{)p_PmrA$-Hq52R@4uN$5w3WZJjygskD_YjAL|>*9_g<qY#OPcnSd
z87{68tRDKptaEW{FRGu|#Rt!~dRk+FD5r*#(=Bksjsm;*Qx1WsPbCYTE=+E-is?GV
zW{fyP!ukXDNx~#QfYes<U5}nUBefh8xtO|x{$EM)@2!&_LcT>gxpA|jQWHEwdv}60
z7%3ang!bb#Hnvvlv3{M>>hDixOVVosfs7vXTL5&!<SDu@fro9dHj<u*7<6=YW($(e
z(HQIRk5gu|v9Y<Xq-4g(NFeZTwjhS+iP8-b78c3$X8HpM3=9n&Mt|2e?I9y5X#Owx
zh`+3r)znn)w<o^7-n5ySna0M(xlc(^qe>z){xt~BLffGi0RhLn9sfLLY0WWJL#-W&
z!aFv<@#pW@`1qa7tE;O;#l>S|V>qE4jnq^x(i)m0hQxYjKhucbzH{e8VPV@Q_*AF(
zpOlF%Rj1f_eRYZW2$_p|^G3w2m2|oU!l%wAGJ@D={j&$x=h8h$2<5Vz+z+%y`8O9b
z-B#>1zX2_H3Nos7lXY9}BKP{JclYky#pcp=UbEk4nYW#4$Cv!1y}SJ=fvu;zJHw<g
z2~{dpGw(-JW>oZ5Ik|{)ccgFLjP5sJ@Ry*pnjdX>c+~lCuG{=bvn9HH(__#%9{ZD%
zVpn><`fI+wE#>25SR0|jx<CE~1;s<zFg|K@3wQCYdNP{1W-Zyq*GV-xG+fZ3Gq>gW
z3CUsRd-8H}TtIO84@pt<JTNeJv(^x!jXH}yEWOU1{}Cw~8613CcCf#H2eZDuzO}Wr
zH?4Hsdxwe6-Me?Iw&R}KrAD(%etX6g3Ai<THmT;+$&-}K!5lZ<n>KT4emm|>i#N^;
z)KF1T0Vw**Ub|Lp-WC`f93kZN0>~xis)yfEm(fgm9mkK>RWc!5ODijdsFg-B4MXJA
z47WRq3Y73^Qd()xwx?+ej@T~_psK8l7d8!Z^7H3iPmqg?iyNS-=_*9h-d)*B5Yu6B
z-css3H~c_V5X9k9W#8fZE)&He+e)6kxoC4*NT{e@Wn*o^W3c-5_1Y<d(Xmio)A?>M
znx+z_R8`FtxuoM~&PY-AjEszok6WaQoIiiwU*Z<pH5&&v7gt(~{N5{9t}yrypmnKy
zFz+$g>GKwgZj#gL3eb1c*f=pO%ceF$n40|a2b;m2R8+!3Li=}K0eZ2p7zglUWjsQv
zLn|ZcrQ;(bnqI|Q2?~}tVeXDte)rWy+?G~>12=gXxOGcho3$NoERdIm-oV{M;t%)K
zQ=|MlE_67s$h}bq7WrUfsB&~APY*?jx8&Pce~7M5hTg}TDl}jF(chWK-FNR;rxv<o
zf8fdost+}cYCClB8rR2$jxiEEm+OA+bCgO}O--@>5c5w<p+h<e6LfFfxqX|GdCQh9
z;~xeihAlLel=d<)bs>7VxzmR&!h(bCkqgz;*Q(a2m<#O3mPfN{cQT`aJ!29*x@Qlw
zcD8P@^BnqY93P_d_B07adveT<wK+5<smy)&hVCJ{)b~=wm~=^Kl<h^UD2u#>c1#3M
zX9*;<=N#ij>)Um2uN?5r7@l)xzHDWc*>6~`%+~04=sc?fvUb}JSMgk{-mg^jT<s=f
z0O8)Wr5o#o#cP~h<&%?>l1y&da`(3q)UzF@{zSSj59QX(I<E~kCUfRZ&CDdv4q2dL
zCotc$j6ygg`2I<J5V^f{jno;}?2~g4-ceCy-@kuvts`^rMl(1i6HLj>rCpGX{8WsQ
zXc0KBuB5CS+c3nz6TtNVsUh{*Q%yQr0cB6))KOyxgydLD)?jMuNfs8t3m3L+-`<h*
z5zR1|Q?p6zs}f2ApX8P<u_0T5n7Y5i!^;4Cs;y$ljS(QU_$-}7%|AD?jTEh{tfZuN
z>~Q7e)Gn9>1Uai~J=V(0T#nX;PN301^dU}FvZo78mG7HlWE!r{>vAu2U9x5_Z%kH;
zbRJG*iE#Y%<HwJtOVQQ{(6OdeO-02zb4?VFT5B&g9j80EjjFyfwj)ilZ0<VeQB|9K
zV-?xh*;jBvu{{Q;VazJ6rA~JR0ko<2E|S;O)R>RAf8cGK2UFzW;>xuUa)`fE70f8=
zzB<s47<_ro>E$Lk;6II=Bm&bv$}+4So?CwZ{v19(^2vt^xx*Gz`Q=N$s=2SPFQTTS
zz1@O$|2v)Z+S*!Cr|H|_K0DY2ZU6oRP&_FcDeB?glyU=%7Plr>78N^cHwtzhvv5Vm
z?e8xhJ)#Vk3keFk!^3d>`t_O#XJM;9<$&oijV9b^nKm>gIRa<TW~?87phC?gvI_Eu
zZvtP;<G)=IpzFRA_cd&yv$(K+WCm+ZBf6TQnjGX#w}xiwzSu*763XPUI(3iY=sTzU
zcf3Q<k8uMZ`1te>42-wsJ=0AiBlsWQQDo*i{hb9}NyU<TEzh7b@C;i}l5ZGpdhyiP
z!w!qQ68;h=sJFj~h_EOr0!Bjhwdg8w)6!~B&F#pu)CKgi)JaodeH#<Q<i2<_S&}O1
z=n+wOp;M>6@Mvmjaol-KL38xvJxj_^e#;WXJc<gAUfYz3=9YK0yZ=&5-L-Im9P-2N
zC<~1yqGrD{T*f~nkPDg|u@%t9w*%_?(9(!3c0Zs#{9xB1{mx_m{G&)|g?FpvZ*SH+
zt5xdWfmcmUDlzi)>(@?BPW2B6eWraC&lkEpHflvTIK0t`N?ezw9lG3D?)b@zuJQ2h
zM%x1c3865~*Hcq#MqSJI4bv)i&WVkUt*81F6e{d8k1&jT=suzT;ll?oXMkqBoQp-y
zoJp)Vz<Q%)aC2~^NJo+~6cwIZD?bAQP*S#KeXP{w%a?iYlPho|>A?f-NTusVdHLm`
zybqwh8mA}EoH<k99Yyy>z)qTS4-=E_kb+H5PY-xkP761I5J11z@uHQrb?DifL`J)H
ze1$en?WsUW2>8|Ni0+0)wozRw!|H5<Jjh(C>gFjVM7nDP1%ti*O1usp@lJJvFnmvW
zXAhbU`1c3LDSacOzo0fyR@7Ja?zr{UFZ1ro0@51)v!9vn?$-O!#;dBK0fu)YvGTkB
zVSaB~oTk!ur8p&$P$0N^?;NlKFs5?YtfOm|K}~D6u}#}oEDvf8z9zNO(H(WY;>VA)
z$wgsL@;H};@r8C9`Hl58AKE6i8<AmQ?B0%lqaU*Q5z`xn{`~o)k!v=D9#x{1-kh#m
zs?)lY_y~tZrBbGxYLFN0SUskWID3Dm%A59|fBpgKKFnwKidG-TrE`C$oqrebn<{Q-
zX=bn#3~Fu<kX+-XEnOEFg&gl9a2g9(14BdEyce-dYin!CB`R01Rsd^FR9EdkA>sFK
zc^|dP>`!qTl_@zFf@-#DbJ`^@a;eW1NGZ)|1)=4?F`9W6IT_#4>D>R6Ki*_nMB*oL
z8sXc9hWzHO*=<kHTYf~b{sl^%l--_j^YilD$ei<9i5t56M2X2*f5r0?D2S;~DB@$c
z9B<3BoT!g`(kMtzL?akb?bj<=ovvD3bY#A4Z9R?K$FO&=eu+IAM|~nMGxJTPqS6-b
zwMNsrw>}{uA*#u;GBQ-VciUTA7g+U5fK_K7Ab37_u&u<3f#2edkN(gB<-EV)v~LlF
z9q5H0O9)Z-9zA~i{Jq0VBti#q1uOncWVwPTEHaY2|DkLsPonG=-7C0DZljssylGL|
zkTD)wT3R^~-d*`ty*-~Fj&KM(4-e<OGp(A?Fk}%_CL^j&!@y$%M8m(~$l3V(v7eui
z^Q@7NE*FV9TK8QwUS63f6?L5K29X5YwI6R^YPYG)vFvik<urMmf-t%t-7lfhBqk;%
zZsp{YCr{MUb;kPoX8*=K1L&sGloCGz<X6+yR_H5;_S`x*(k$pOt~K|2eW7#%RZ)r|
zeOyjeS$Xz5OQaD`XsbgI2{<pJ`=welmUwKelOU*@sF*N2J9`@dM$R}*2wPcPY^<`z
z=$LAtbpP5ym!*LGk5~VkfMD|Z0X48`a^v#iq92o}JK95#1grO5TU&&kjJ5Uq^z@0k
z7)jB^Zm(9+UAlDjEnh!>7Ef<B&1oI(yvi*+Ck!w$+%)~p7ouIfY?#JWZp!TJtV5?0
z%ZU@c^>H$fA3w%94|Nu=K;lw0?uFE0)>*Wqsx3VK`<CRhqd6Jr^t!H!$&JzthCkjs
z-+4e}?$>p?2vY)~>;Z$tmQn~wq8qC-2qfa8VwVL5|F0lN(zQoA6-B^vL6YP{f7I57
zaP3b4g=M3A7K!3{fK%g_wpm?WT?m(UQsH{P{#a`c)XWV1hxHd!a`LSED^2L~rDbIi
zPsz4HvyrX9A<D~D&%M0F9UUEgqUSsr5c%55%F5JyLbiVu;&R$KNqX24KZGtj6j&l<
zOx>&S@Zy`FAB635EY{%`K4X6Np#H5}-~10R)XQ*xDKDpF2HHQ5IB3Z-?9zI8PDI2V
z0+7<Q>-h%pYwqsuL41FIB{o1wv?z(S>?%R?uGjs}K)G{gQWJNs%I!H34|K2wQ^;wk
zv*^!@ASK$`+NSM>2z+C)dn(DQ&@IdnRQ26h8hMeWKIkW?p_WBc67KHnj3O7P2vO0-
zQ9E2OUHUlL^I3MI?)lD10RaIn-IDf?A8&${sw7f0UAVdt1f+RORaF%*O)jCTstQ<p
zfrQT?a7bLfytuNmFx2qPngxr5bmgWd_p-b7@<lO#RAQsa$ovsn+6+V~*kr2%<PVNU
zZ|EG2BVh7P8`Uxk#~{q?W)dk1){aX^U;$^8kZ3x0=;^a(x}ZB)2QxD>u<qpdk0oM^
z8{++khOfs(0Q+dBE`zR~SbMjB|Nh%S{JR}e-n=<7^e_Q^M)LCI3l}aZ_m3!`R)a+q
zju#|Ly*#bbA_I8z{Uu8})}_0Qv_LBAF8Don$>JZBupbo_>LspDJ_N8JgCB3sc>f%k
zyB>ed%FZsRGGPaEnr>-{)6Brnp9(XFM^DWR)^2odtQ%frOZ=$;3fu^OIoi`>mC$(P
zxrNEW3wOJ*WN6GR@)0QwLvj&9Xb==MG|xikmRb<!i#-qPXTPG9TeSZsNlw~@(lQY)
z;}<0*C7H`{o8lNC>F^w(=DEjx=FC3~{^0E40(R%L<scFSr-{~v@lT-V<rsU;nODF1
zry*YUe8(FnQn9D!!o3m?6-GT!SAXSGqn4u1tg?_ul~-V(c^J{|`}px86#ub8=hdli
zI6AAhdWPPmn>Tw%6N42IcDg-#rj|$2n-vEe-=pq9nWtj5wy`;J{5WK}`(9p_g(~*;
zxvI%_wzfqdJhNzzL*@ZTyYl2fd>=C(U(@RAp6yfzIMg%5D0_y71w7VWeTaK#Y4w5}
zXdMC{GP(b@HGq7C*KTy&yFK@@M0O55rcEiFnz@wBSO-4P8We|bu49l8*5{gashHnq
zWkmvl0jRXQnnT&AJ$~{eP)HxvuU_5}5e;rE2=epdlnh((bDe?!LH+Va(o{u=Cqn~+
z&Q+T>lo^x=dE<o6&dz5-(-rBZ>l#m*In_!^N_5@kf`(e&inuL%`}hF5r5O}UP3WPj
zpcm9PG|V}>DJ%b~DeVP~C-DB<rt@cX)D_`>6!-yy6M*0^5SilQP@=W73}nsBQgqT6
zrlvkv_e(1%D1h0^CCtpskWjmxo*rgcV2NU4WdKfVtE;=n#jy~08xr=}vuDKUit6fJ
zyLZdU%FazrLPp4UUvmbCK;Vu4`SVsa8F34!oaN`YD@eM3c-R?5D<B{MVedoi85(lx
zuSA^>C@K>2`q(`-=7zrlv4HO)<+lF>xeJ#=Pmv{q99C3RR903N7`R_oSC^z`$l=_e
z@#7pI&zt06ku*}9a9vQzj~{>gX)FYw8ZWk>VPt(<<}FD*y(l!N{Z1$&s0D+-Wva=j
zJsVTcJYI<!O@d|tLK~1sCh+L-HTs`MJSIG$|LRHkg@x=vl@R4|3b+(#aDd@{etzf;
z26yfxDzoKixZ#H4uO>VUaY{fzFM@-cAhF@B!7?Ba0w8*N5>i!7&mP3TDP6ygwFDAI
zb;1?!fX#xt_4W4J^nRsgVv2+a3}w;5Vd2v!qM_j+PGWwnZQ*ZSZ{PQqD5|*sjlf4C
z95<$CYDEhR3Qz#!6B1;maGq@~EkVJ-NsYr985w9x06;&c6aG&3R}m?Lq*auZj?1c5
zO$}Usf$7Ai7XZk8b2<P{A$j}uZJ!+UHsHMr_M@+8|DeM5etQ<uxxlWLhLSllx7^;|
zj;jpqbZDTcZD_cjsEp%2^!6sf^~Oe(I3=mb&$F|(C<$1jA)8lVK@jBz27+I_*b4!>
z&S-RWw7sJPya-|da+HygvC$-Fw#OJP==SYco~TSD*GD~8F0LPymG9q_(eK}H)>Wdt
z%>4EH_eAhTTs*Ww5CRMoQdN;D^Fs}i$&CVnf)G(1hJP8O0pJY)J$v@-!AuQMcc54p
zc~n1(+J?`hr>EB$1%Ar69}5NgS~7Kj>~{C=Re5<D1hKq)hygEye|oy*rAzmclaoV2
z)Gl8xKk-cH52A9ZrZw{x6shN(=_Fzi8+%z`6h}aEBqk;z{C4^fm&*}9jxH`TT^u<Y
z9YEKe#V%?SpRHbwG^bB=mFh~f{ps!1b?os$=pgK+<#`duxFr74UT~3m!HCdMh9gJb
zynGp>nykVWB$r@gZ%-0XL1G1=<$np-eN>3GpAAEp#AU|gQ&Uq3sIXRlylMZG-P?-z
zV`pQVURWqa9*c>IA#u@(5cNablIx5@`OHHBo5O!%(E*zq8XDYOT`MaqV|8x{+K)P-
zI&|7KYX>`U`hOZ57*JJEIOb*!l~w@UcPLOrLxU|`27hghmD)GNwGb5*1zhdq;(}m<
zEVGS*LKpY{^XJdD236J7fe|<P4(`I0p~^vXc~L)v68W{fyxsL#w(U=i922{><+=O!
z?@L?04Yu%mQDQ-)gog9at*=Gs#KcDcMh!&|mVnP*zI?fF-##B&U=vKhUSiGT;~#i?
zLlVV2URw7zI??_E2a+01`1$#Vp3Dy=MDAoB9UJqPi20~@0jSk~;x#=Hvgk6Zu%Ev_
z9nq|#U=IC8BBrjYN@lq*I5JYVhbDQpBy2q+v~vM0EHEfYW%0AgayFtVOwI_s=B~Xx
z-`dTZ>S~^i&l)`qX>~@(WQ>rY`o0MdZ_75mRlvsO9WY)sIXB0NsI9FnwH>MlLs#q-
zXZHTvRl0$Tj~zn(yov{j0L+8H5ZlGt<vhYUWEn8T?ZR0*iM4_x67Qgk{P9q?TrYX}
z-~rG_j_+1XYQ|~NQPmQaF~LqtOT(Jt2hhBhA}1RQ3kwu)jZ^>+%nDs^+<2XwZ0hb_
z0<8}%=c8VL0g_86y?JB~@5CzNI4FsyPMsPbA15(tH!BoO{JgZZ1UVE6)4O+9Lv!--
z9PZv_<=_Z3z)%|{6OGfxroki!0iLRggoKp-cT*(#^GE-vXZAPgt(bA})&Ou{7mB|j
zFJFrV!m!W9Wu>B`;>`8<%U7=8V0IW)v9TqA1mOIiK7G2CVmBbQD>}NvSZfd%{_I~x
z<Acnps_bixq9{H(=^hvXS+?gt4-H)&%j??7Y%371ktzb@iV9vMS@z?HTtdU^r=G>d
z#Y3K~LDHyh>gud(9<5l)@86}88w&~w4jeeJlNt9(mZE%>@eC&?5F9QS+!n&9-dX6q
z&W?^oJPfE+fV+%b{t~?yDs*?#9y)aB=+P30wJ6?02hlgLqQ+df@Vl)IqXB1U=YfF%
zfr}TBvr>}jKxv?{q?X)YTMruftH5pqFfvsmXE=9*8d@H1`1Ir?Np|w}H9-X4-%f=p
z2wbu--T^8zNFro&&O>8(!y-f;AlWysUa_t%%mUsdE>ooYKGa_BmU>9iLNYQGLOEGk
z1Ki2}ag!Dn7KTCslmkqGnGpJOI_OGO2zOWRYCRw&*f;muvlhLxDH=J_%R7NNasJ85
zY>6}Iw?hlzyBP&ogDO9IQDCSeA0gz_Sp*8;LyT5Rbaiuk`Qn9^wl<0}sGP^zoEjC=
zMIb?Zu)#qgR3%ZlJ_W^5PVOlZ1q1_i2vr^6$DJzu4|G%bKKzFoN+4r^Uk|O25VW0z
zZ#f!9Ox*=RL75#z$;l&_2i8W4>h_G_E*-%6gJADDA#rfmgSO6!VhB4ilF!gwk{gH7
zbC6J(1_=y9Pfizqsn09>`0<j!W%xcA1?{zR&0hCEyfj|CpyS}+fMyBOP~P0!+|XbH
zGy&~9*fa>~Byr`6&%=ivQ(x#&Ol7WKRY-2coKZ?zx_)FXeqYM0U2sXqfTVgTujnT(
zE-rGfO9G!Lb{`>$5kR(_OrK%kzye+i<&jEK%7vpMTrSUP#$ZM}EK)|c(B9To8RLyw
z<O^`$OOdO{1?OtXW#{$vm5BuT$fv0HzP>Mh>>@rwTBA92*whLGiE*;AAt3Ak)_}xa
z;h+G*P)*gq8|=nf8*6Jxpdao6#LX~>5;_fV7f5={+qak|Eui)5Vgh&J!Xg3yT7X-g
zMF*xirKKCFai}#2h(?n+a0j%#A;yprqk1#6HQY8Goe11m+jDBH`;mp!-@m^Wa+-z=
z2}+ixln9<VyE;>gdGr+t2_PWI^&PqDL!#?b&)&Uzhu@NNRv>&Fw;4hv7ndAE`MPR?
zRh5T2yYOPpMz+l0k)b!-;l2>ijEBA;!62KGR1Y9*=oX4>K~LzpBY2Eo%zj1wI5|5@
zPuzm6<L2fzHaa>EtcHUCW&Qm56QN_AI<$-1tszMI4rUh%6J3xfSCB3t!NEt-wE)d&
ziOBpMjbcz(hSlb`Y=({vh1}r=m~QOcxihxZxt`_5vS=B!CXSHQ?Syv4{dsKfNP}O3
zT@NwA#LwdfT{H`~dfw-+378$>h6lu>Ig(VXAQcA&Or!t)jE3+4=3D;lTS9#Nf&Ke0
zT)c>KiE**<;$#m5Cxt|1KEI56I{(hID?VXtQ!N>A1C8&|o)cyV<^6FhRh)f)zJbys
zO?qkIHX)`w)|Uo>n8UnT7_7HM&Ml3#{SxhRcbY5uR;@kG`#Wj9H=FL(U-PH6kF`At
z$CjAZENrTzeCGYj%yr){MxE|pdmv9oJlM=t;1r#6H9TyYCs+G+bf#VH!60`pi<O(2
zR{0SkLbnRK2830#7TMh&`VUn3b8eX5O!k=Iid1)R)SvtKODgYi?fpYEnmXxMwRC2F
zOehC;sotFbL3|o4sy9MO=$6xWx_X-VGPENsJW9l&y?d2JnN@z?-RDSJL&C5w{8>jG
zyU7x>YY>B|8P}5EzklC}-bUqB+H?js8ocHzf7~1PGkUat=a&Fxaf9ktb*Y;C4WBUj
z*#+ef@FxBg@KK)17E8mI#h9ZI2-o~1dI5N$JJ26JI^NqGqm&ri6UTDxRR)4FOy(KH
z_0$_#25|RaDrt|jx3%51b0-w6pCC=_jD(!0km4kw6<&!FxV@1*O0T4@UVR0gw6xdw
zx3&!?o{;r_bw8Ip`aGCagtN~cJ0?c?{KboNPSbrzz{JL3fPq~{E=-c97b=d8!qRXX
zR6(k)&T?S(1}@>rNR~oRMMJfF`m%A;^3)w{vEF5)qS|4+i~KW5qDSu296A?^_^B@|
zL+eH+9~5z2#C!=+V8(cYAsd;1dSD04Dih3c5%d>YG~l4K^D=a{68M;q3uv-4^MF4i
zKcmG_DDY_j>FJpnlJDgD^*pndX-vAH|98A$Zfk<P7ki2S6b6>5KlPx{qL0P5Bt$qT
z)w_eD?m2KE7qcfQ)|gMce*M92qzN^+biUP;pFi!RVu6ZX0WSVEePqa2`n*No5t2uN
zKrp*i6UsY4-wzshYvhs1J0L#@R1=3Si!z~Y01ULZYk7S<rjn+E!2VkoLxPhKn>8Ok
zCTHX0%Y_;SXHv5M3T7_z!;K@TGkGSoOiUhtoL|3v(>x=_4(P<2E>o)i#djxt8OpP1
z==|j5K>^#pHQ{{&187q`-03g$KSRFIEpp6U+B<SI4!tgPV^?#5ohi6gl9`d6&{mR(
z_?PtObghn`zY`tFOWu6c+myG~ew*Yt|9Yp0LQ6vW*RGMI=fvv?)omoxTl`7YXa$sY
zW4r@56!My7$&!Jh;&WPJOdUzkg+^z`xDhM$l6?0OM~ok?JX!ZBi^AtayL`AhqGvu)
zaYLk2(s=Rwc_yS5h-Xq+5;0bQxbgGg3660?(4Y1Z{}qh1mcLJ6iQ-AZ-9eDEyu7@3
zUNJl{9nG{1LQBaF`?Y5?Y03l`%=%4u)R7qcrP8A#BZZLDkP>0RMOb`j&Uty<^6eO&
z0lFA!2)ZrL(ulA!?YqFiQQgwA<U_9$U~o%c-+rQVt!%5E;E_9s@<N9R3pgYq$`)`J
z2CTZlB3eL;8=mb!xbU8ud`QED0bXcgf9g2=5<<|>u^0$Q;v-Du;yf_Pv>$t+YMj%G
zS(^Oob63<?Sl1>$)4)FU+Bg@@42slSpLsi9&A+e@cxpUnQ)3cwy}-vepH(Xo1`v*>
zbnDhFS)crq1I-7?zGG@tZAj``Go#w|r5+yFx0KqAsLrThq<t<jHGppeijFGPF9r-Y
zj6#7I<z!@D#@9?lTH-#U8CW)chO7`fs!bWK%tiv!GdYlcf=;J628w|0L3eLezI>LI
z)d)J%K<!NP`ORfL6l2XBl&ok6>I6iNIgJUvibOznWKK>xK^Xq@Hc2$!ot>UrhbNMe
z$0(qGo}NqVY$Wy0o#&o?L(y<GhqTA}IV%nH#KqC^Y6H1f586;bd~>R%p~<bD=|W=k
zBR@YLU8S3R7-)rNG%1Fn&>?(CT&tzKyBi~@b}+3x6J45oANW(m(ztYrE}$yzJagIE
zxggQe4#Bq+6N{90fo+6M*$$d+Q02K==sdV|(&$C_itcu>J(rcSJlVNC2xJ9%AGgeq
ztE6iQ>z7kDY|Ru1x4>8hYA<vGHFlv^HWS-G4z)DC#*+6p`-dNVJ>6Rd#|4ajzc$=C
z8;p1cvM@HtY!`tjHXIJ0PxHxmf!;rVru$yXhbGlP<r;;iB?_WBbaNlZyAvK8E2?3*
z{8u6O>51<eO)zV_e}9WHpQxyA=({yVKq{Qx3hJM%3{hM>&$6o%_bO>Yi=H%fC)_@R
zvVeB0Qu>w@gCvfuQFh~a<L#%9A43Po3DQsDOtj8PoNV-^V}~9tj+y6muOziJE)I?&
zr$!WzFjylXNWTtNUtr~ZQ`vZSaAJb#(4oZU5zv+7{O@=Rd;3l19n{pRcg_MP4rHMa
z!vCsbW{Io&0Leuj_ppHE?g%VHO_>6H9&pH57;9@LK6n!r202DQ;xjPy>-Q-4VPRoB
zid8YOjV6+Q2XC%V{cTKch6WP5(<zr^U?dz9RZcsgoF>70QBV+wjqlt!B?hW)l7r59
z3)6uEO-Q_gM@bl^A;b7;ELz^*0n$6rifY;VtJ8=F$a^}Mer)6(G5Vc;6>tw}(A1J8
z8A_Tk+}lcV%@p<1^rmJ^-KN`*rLU$GEE(w|y)WmY^w7`{$@Nz=VaC8`_Pa8O{cuIP
z<z_KFCd#jtCW5k$9wrE>9pfyL{R-l)-_xhL3Llm+iyOn@tE>NJPcNFD`o<KdD#iPH
zL|`4YLKNeBK$vs7B&C<7I=`U6x0FpStd&E%;1`c}YGos?#T{P41lcfqU?j{lUaLw4
zCC3?~Hj}G-U?7Q2a1&)b;Cs=9#jP>K801FJk~wpEgs=;&VmxaY421?C_Wv3dN%p+2
zzn@b*;}|=8Rno^!B_Bg^i}w7R(V2-`ifGXk=;GN3XrJ+sgBJZA4qd#$&vjH)`CR7B
zW^ypuD&<k^jR}193Ma}vGwOyZEza2DSW96y$tmV}L?zQY$9OrH_jS#N%o-H)rn#Tj
z8_!w&x!jOriYT)cH#5hDJ&4##9PKDnV{oqYl^g=HjudjT{+x(ja&~vo_gl||K~W5r
zg}F|gh`}HZ%w)VZC)vyEGiqTT2CaaCZ{HptTF3{1sSf2Gf#49>3c;HjU=gweY3=|F
zi@pwR+F`u?5F;bzFg(_M70XU^bnXXUWBLxcMoi38`AU7Dn#_aUjF^Tt{Q9NL?7ejU
zG*ISU2!%y4@MNQqyOclLv(ra^ZnzO9_;ab&P$+~&b$erY?sk`XdvBW&0S+UlIqGV2
z5>~sq8p96f%^fz!M03)$%%iQgrf3P9xAG*i1u1`6Mqbm;DSc=qDhIQxg^`CJAVSQ+
zs1&ZrWJMPU#5ENackS$`;V0JrhZv`{gry-NCgqy6jEqSPp#f4X+04;bHV{s87^%#T
zqQBr4=$NNEn#2SAtgo-fQ%yjK+gPggh#f+xs9c5CJBA6+2HeZaf6J%WW{8wX%phqy
z`1oduI&NcN7jO8>)HU$hoyn6vK0b8r&F8VPV%gj!nW~+*nR5<${U!~gn^R=cb%o|w
z^baG%Lk%Y|ZwHb$x?o49c%IaOAx8^f(R0l;p-tfMH>@7bK^#TPvcqwF#~`iQVzkn>
z`ykv^nwI=-V8t*M<PDDjaq2mjNm|2|K$;d!s{$dwvzC~Bt_vxnuj8-8QxS8UPK$*7
z1DM#<u76;d`|hfDA7cknyTy1AUZoX`my&f#Ywjbp5jZ591pt+j)kBm_=w8rvL0*K>
zZs}fB1M5Jqat0p)%JP5wSV~5Qot5=22FWusrZ6f&poPkh@y~T;skH0+PG2)>%^rgD
z2I)ODI%)<dU$hk(-a{BF*7sM#$$2B_L<?>Pu$Md36xf^Pq@>_-AWbeICD%kAJZJ1F
znK<9KpB?Dwq;gukbxz8eJJY+0!o#(JA0?k2X@R)_>L)#Y2$TiLF;lS7LmJohShK@W
z09DRB$nDI2Uo!YNVe1>tq&_N?U;izOeeN5R$1gpV9H8h7qO1s2gww#G>s!(lSgR-A
zXL6i9yE*2k=Sq?89X=Wd-GVJQo6aKoe=KAa5Izt{t<cOh#5p{Y(2AkA&9s`PgZ5X~
z*2+^(q4(-Qd2G5_Sr5c~tpPa57;|-MujhL<H{4Xv1SQK>C2ILEHzQIow3L5!_EJKF
zIcjiwzE$qit49IFr>CbO(U4%K;g2H?)-#cVdWT5J*K<|jL#uaXW5$k#pEPL4S>`A0
zVn6w_<()%eOWHV{1NaMozLN?8#DnS0@OB4^6PuxMD$#oG)jzkMGKuO0%`3?c04!+!
z;2$nUCGuNnga6|b#_5*MTw=-}tmi=Galfo*V#xB6v^t`mD#hF$Joe16oAd12`1PK_
zFp1t8{;m}1EI{+dfq0nSB7@k~T3e=WJE)MH#)JyGpyWg?YRwPMb4ffOS-0|b|NZ;B
z$Z3Xx$@MPA_rVWc#J0a78HsQERW_=$Pwr0FqE6P#F$v<Si<6;mlTecMlZa_tIr5MG
zWxK+hCa3tiZXKAx2o>Zg0g=F*YD3e1|Ncd()g{>vO+_5Z6q@1M#sZQ1S2p@T3-|we
zZv%A!nnK(Vu%y&JEY^8CRZ3`zyLa>DFrB;o2%-d>iKJP}HgfXTmKJRcEfJ`Q@}RVn
z+#1;x5VzcQw~ZV57Uc7iIG{s(!8@&D&^>8(H6~CB)tq!^SQ@&^$c$UNx+0$!91hK9
z8PBnJcu#aJT{;U|J9<VP(F<V^>hS>57<7Gha|~kMgYf_j7HC*)$tkBJ5mI&Ppyaw&
zKqLmpP?E?4y&UFf483M&F>F{vfM39uAu%=P)AIuigDxaj9UQiJx%PH`6TcjzL9^#H
z|D6%7F~;ON`4J19@$^2Ki6_Z!Oi&f?H&OOUjkrhA_jKhc{sE<d>|Y{Gxc%>22!uo3
zhyJC;(nDqEC&gryMepgZJ`WOiG}efFLLDiJIqvB@GFf*{ku!V8glL2Y4eR_ad{@~V
z%-~JiVpt`)Xj|IWR+Rj9b_=t&OopV7_Ek64D3h*iS2j*bm?VoU59@y4Pu$<Z8eqVv
zrA(w$F)f|``oV|z=*8@onaOMZag)E?(*~v}nMaQV5-BN~r`4jTm8h6Uh2F%qEOOKA
zWF9}dhpT2lxAFk-pmfzOzPZz9zMt7^&@VR4b%%<X_`rdc=2+g()wx!eV5YC{Kka4q
ze(&&($5d!9xA)IAx`^oVW8MnujS2fBN}|eFc|$w5oFO#oD)zt0H)t)-Hf>-J%B?q*
zDet0-?c2#L)W-KumruCOl4`TVDaxz`#nyI*?_4*Zt9qzX_GpE2)Uf^X;>h!GY*nQ)
zRVzNs>^)g`Ii%KQk&1b_HmNh5qiw($vcL2O!}VXC*zlxi{fvj-plJtlx!+)cRMvvv
z`f=~S8$;UlDcP&;rEdLg4AS1TYoe@7l($z>l$gC)xjZOVYUlP6SLf?QIltX1S~p+1
z?4CyZ$?>>UsLEo&T59<0!={!@S93>0X78&jS*~s6hl!L|+5$?KtM?LFSB2Qelk+cA
zM&IS|koO5!qGYaIUq0QMyzUWA`*r3q-l<+SEllp0HOaQ?iG<9)dda%=begc)FMB-P
z?p*5<89HygTzS=0Wl#SUyT&pV^Zv07#m)=M{LJ3gKetekQ8Moe+c@E^a6#E!hc|e*
zO3-qE-CKcY>db`e!uQggmp=#|ZVhxlo_e%3HEUDeZ0<F$dj3k}YqDY9USj^3&heU7
z>I~a0+-<z#p%tYLDYV2pYDOiw6$<X>iWGldrrh&a!@Y!apEUDjcjKiC0=-?F8`ACz
z_B0SV-n-hqaZrt?Vis|VPwubq|Ng|A_Hjh5R2C;y@D670^>iDbgi>0fk%e+Qo9u~l
zT_#0EcVckoW#;u|tq)7V{331=l+i{yB~7nha(mOpJB&%k(-K$bdO}LJOEk3gG+w4u
zwEr8(6IN&WfcDe3GnuZUudVvsbfoqWS?^bk+&XL-i^cE=Z>y3!`MNgP!*o<-z&|eJ
znD<$O0YqxS2Jf$6thS>4q}h^Ih$_}OE5!Rse69FHmsKCy34b<G1@ZMTHt$DA9V?15
zk7vg%jrwUb#yzIF-?W~3BW!>e7`fGl_Nx~K5S#@YLgWV3%-8xs1<E~h68CBKR|M}2
za7*4k8B&|{Yok<wGTNS=IP3B4QfQmV&<k39_jd7mGbQV%wE9zv(`lnh@*$S}eQe&W
zZFDDUgsoTiFqh9Ko~a)-6%?dm9++E7&V8LwdREk@<oapvS6Rucltt55qiOYj`c2n{
z<%MWaPJQvH)NS2o8A0#CsKi`e#2iw+^{fu-M!+uhLpP6lPMWZJpFJJqp}e2WV=YAd
zZNpC7pC?NxZ-;EQ5IjroQVDO?ng834;fi{on1n?^ya0SKDJ+JD1=%qnb?Y{Z?{ab3
z<D#0SQD0BP!~>=LUwd$ZMr!bnvn0W$G8d)sps2emOzxNjprS%`*Z}o&S(@&bh{;U*
z%=cQ@C6^dYNlBSMMr?_G1lPUT33$X&dF5gJ82*(ANkD(<&llj73_ArP<v%2uLUa|Z
zob}YH{`pk0-+`O{7+GpQ_;%ePh?cI53(ojpJ_C%xu9^br4)c@ua*rI&ZdOny%>r9v
zjEQNnvpha74h(l3R8&_=>N^a8zy>xOYYS}xVubg7|AP-&w*A&S3#D<iS=WP(h~Zp+
zVnW1DYHHqtyMVcIk-sx;ig$c-ktFS0BLw8Z<F^vwQYm>J`<P%?dI*7XC30gmAthxL
zLsB$&1x`$uNcap+fE_!qRS7&?MXDQW(ycQtq!nWCNU_kEgN6<UiAiOXcD2K9^aJc$
zF*_|E(VlYSJaah&!svz}GsfKt&%?dy3pUKw?laJBa;CFqT+-iS$OuD;B;`MPWuEA~
zT|zD)S83`s&sPf4k)Vm#tr%rC_>qr!vz|Hg!F{d3_`^rNMc5OM0`ZrXiDCY(t4k8g
zNgNGM4?5>pP~3^p0bHZszLLCVd?!y{PF2k_X*6+lv48bnF91l##fuk}vVdQ|JfVlF
z3F<v81>nUFXz2rMmn9|H_xs`&Do|R%^gZ*!1xPHV!HW>p$)Q_Pgy|IJRFkHqimABQ
z#|$txbY*f13PF&d<z*02E08miEh^iJu2#?gAZaHRfrl7hr~>yDj}`a~oSNa-#q#Sk
zJG&`*GXxzH2gWE1W(kXNL)-~ap@4N$E^o+qZ?IPn=p=4Khvuk|Bfx6>SA1X%K0vip
zjX7**m63sP4KwQNprAO+{H5<;bRz2?=dz8!vjy4+9T9HmxxaPd8cOQw>Z+;(!^0*w
zll%JmaMq!bfxb_kWW9ec7b&u~G#H72Lu=cHM}bDxdG+4UBoyH(!OF*{N*S%d8oTie
z<3OCr0`>&!=;+`mPyGFBe*C~xb^|OICjoPogx^6$xY43tVibhwpwEK`u*kr5JOqO!
zB(J?h(pCr{4@YFdv!lWSa2GWs$irGj8p5-(zDr3lgIg7IR3#dacuP1|F+yVTM)F-f
zn*|{1EPR|W?8oy-3;HQWcG%6;fpx>4mHZDMmf(V9;2p-1_$^-q1=%4>B1POZ5|v@|
zm;x+=ID$zxX#+6umP!vrNoe>-hEtmWnuiY({i7#O_7QD|e|@j1k)_0(-VX{g!t3)x
z8pzK|CIkKba{%R7%3hMyrqp8tGZ2ZVM~pk=F)D@30g(qo<hWCiyGfhHV5fzsW_0!-
zEXqw#{)`*3{i6|l7yFs|`}zQ`dtd@hDW%`_;b!0b*Vw42V}gR3ls#i(9iTGsqlBqq
z_vHr87mKt6nUFMTnn~4h8Os4hL4ZbjtUG~`$M?hk01*QMT>Mi1!vDCaz4d3UbzP^v
zT$dL<#p$%vAL2ucngiCgk5~kIeEh~r=qz}4MF2DL5lP7(5FsV^^?9yC&}?am>CMpf
z%L9vLV5&aTanhr&Vh?-qX##aP%ps?Pxphfwi~?g3xMwg#gINWjcy4M6^JmhY1Pokd
z!{A{^RnJ68gbqA2+EI>;xjfoo2rkl|JHjzb@aCY(PZ*H#nzzn=q1O!@*YoJ{q5tZ4
z=!Ez0Qjb#QC+<I^E(Oj11f_vSV0Zp82C><dT9EzX9!nl|>KjOl&A})k$LR{;cDe0@
zGfEx8Di=~5hA#*!&<LPn_=Z|xUC}$cdD*fEViuK%!+_i7E9p~*QWXCja3+QNmw(MS
zFInV+)1-GWL$G9(ZFilj)G{zI@HquxjsMwd-{>fZEDz3hKrS{1m)%Hn#FOK-T9V61
zYF@Ra8$GG=-kI$Fh%-bZiIj+$nw{NGJbC)Gv?+;zx2>DHlA8u@0_;9>m`a~Ne@>)C
z>w>n3f;Lkq@6$q^=Fnjm;^WS?npaqVN<|AhdpW=P3BGw@*nM~p4Gj%+!XaO06b?&^
zpP=6uZv+Je!QmivXIR#bEABXBaO2{xCf1HU+<UQ2bWb5vnK-gG%P+QWqZqFSOWJMm
z99Cirf(QH}c3u}3yTutE#5R57<0M`4u7d+V=Rc{%bU*Y49La(7qn@AdaBzMobYf>z
zgcLv7(55#ktU1)eg1>(l)BhKzN%qIK9~Zq|Z?Zz8zUBEb_73IJ+u!$wZHrP$^rpoi
z>a+`mLNjT%kFh><75?;~14+tB85w7dzaxWL!UIb-)>qo>EoRRD-pF(qv{F=AV=5Ef
zx+`pSg{}L(QfR1{FV(Aq_qXLo3%#N=zO%<z*o4iPEk1re(CGEyc-Ed5tb1M^9)Hiu
z)%Vo1qNL(<#kuN<XEv|9w)J{)ykB%Hbrr4^9*mgl6cjfcFCMgI<MCwirX^Ai4P@u!
zw0yFLlmf%a-Uek=RrK4O>sxJYZ3&ozE32sFT&IgQecn@*J68I1{O8DzmX_D4VpA|`
zz{LG%0_|V<+O=H-+?BfhuQW6?uv2|o1`J$KK=`;6Ru@WkZ;+2D8xiCwnZ0T2*W6H(
zfDWK*p@Jf9(QY7okoN7$$UO1$Tg8m)nyf6m4y}pyb-g(lg<}Ytv-z?Wj|h+>nF-W}
zg`H;~T{+Fd^5i(=yW<fNwS$(e*-{b`11N>)92ekehXx0OQ5JS8!88=D@GdP4HV>02
z4us`MOICsc>l<utgnNoeBw~9fN-!Kq&6s={8{g2>WS4Hw?9vP0DXR~bMLKO`6O*rB
zzoN?NU=V+j^oq4&*uLGzKFJNJ0tK=ZCQ1zL6%=Tn9N{riu+i~2<z3_q$E%s^t@h?-
zwd`WsA*DLQ*N0FTP!2^_Mzb*TfwcZ;qQ0(f2_^aRMDh97)>drgf%t?i8K@L^DYZ6i
zo(Xj~pg1j2hYF{Gq6*g@df9IX1Q0b$OigpLvpG<87#Ue)Lr=P~tu%E{IYLuG-F%E~
zPO`FY7}N=>T&5fn!!Dm_JbeP&Xl&7EQc^fXBD)ggnUH+|aYRkcLMvw~swZ%;qAMT0
zaQ7JY%fKuoF8=xVZ_-o@B0F`k&q$eNhMW)iBq@ZL!MH%NYeMIgZa4}>pga{8y1YDt
zrVVYv;Bnz^uN3ae#kUFSjg5`ySr{(08t?_#TAs_^?K;@>=UZKBN=hyy^3_>DKzLsN
zEX>Clt@EqH_KBCx@xmj{6cME3Y{u)B|3nh$@3v(BiDJ^P3J4K_YOhXGt(W+RO)e21
z*QwmUO!yF_%E8KgolHzIH*h=qwot<DvQ&{ze@4oRWv+AnC5xgE)fGyAwCkB>Kvb^W
zrJ`z$XjF!RqjMi3$O3w;oU+&{w&KqxA(h{iAG2+VI;plTDqe(JW?n1m>;1P69#5=o
zMD3zi4&dCXpvh8upBR0_bJTk40cEwMEehAarG~33o+3oG^(H#%)<0R~_^p|6#FOaO
ztnQ!U_2>8VGl_g@qUW{{?1(Mo)VHjw?8yEm-<1rSle0COi8S8QU1cr0qmgo$a4@Ow
z7ize_AlGq|-wkZ%ABFFEpyp9B&F;MAr;2;^{Tp{q6H>BWu5w)Oi{Ydvi;bht>h9{2
z4~SSV_E98s9@Q_u-~8e|L&EFPuiC*6pLG})sRi<Lj-By*n-E03_f?oN!O_%Hgeufz
zfsk>hmUoKht3>;km#<Y?FR-4wH7rJmrm)P^i|o`On3#^_lgHA>9Maxh82pjXWE+vd
zJJ-UVY)YmqGWfLg#oHsEQhXX57e?Bu2qlv_1|QkKUnGdwXX<@y$b0hT$+@2j`iHk(
zYb1M96m;TfdRn!19($e^c{g7)Q?ut_4&j&c-N;AJB<Ek$KVhlOKk-@QgB{W0K8@22
zi-?o+hxXj0KU+9J7APFDJwUPI)VSrZt)2{#rYtLzre|Ks7<;~>erx&4*Ceg^;;A4)
zwcW|ui=RZSzR<O2Dg}pZRZ#!oroM}J@z2<8pTlQNr7XYqTBn_OMwP7Kp;!0o%cPz9
z-nIb8p>g$rGCqTJzaX8${WYruzI^iRU;A$aaI<X9r0TrM<4|mD%1RuasSt^le_vHD
z^Hio=weS#sF2Coe<7o~t<cG=f*Iun~)zolO{LG_w@aEQX+NHO=ZT!T>^{dATT|<_c
z#{_R2-+rh4hRX|0^0H6r;oF&Fg||n=ebJ_|Uz;TaDl6OguvU=43cwXsX+lPz5~e$_
zI`P1U;I7eEc7GvDhAdFIDdX76Bex6fN0hE~e7|!z=f1!r?Lj}|wLI391A7@8Lp8_<
z``lCxaIm@U?lxF^$j?9VdNDdbT<K(IEdTP|^K_Xn=bkU<rL7%0MbNK}^W_&)j`4ZU
z=J|_bygajkjb$ZWkXj(Aonpz|V27vgviQf4-gRpg)h5D0-U<bw=Aq=*X5z9cmx{<n
zM>J-ICq{qKi_K0^a8#syZgcoh>P&Opm*AH%@|`i@tu(<>eK;fP?{wC1I#suvTN?ES
zBXzgd+8M_eDi7#a@9bgRxzBBUG%KdLFX2G|SCYZnY%XU&Y4<`d=VW7d2dBA!q9E<O
z+DL%2)JPqp<A3s>IhHDlOlY$d;6L@-e-buJL##||u?zo17i4oD9v;}b&v~q`t}INH
zDjT0ZeOl;fdXOmxc6QG=7B%1IH6T(t&Hc9_$x`}!0t-SdCgDuDq)6if$-GCj-)}Fz
z2RMomyj;P4+)3%w<_XlRjJD=fef>)A33>a+k9Cx76mwOuW_UW#!C)4DYH^I&J0SPc
z*3DB6NUMRfd-m5dW@BA&qeIho0}QpZv%|jUx44q<rcV92-APNQ)Q+DBCl@CE+a^1<
zZQC|G+On?<dnO`8Jv!@ZNLS1E-;?gBsH`lRYtkenB`4chTbDa@fB}M2oW(>^Ss9+A
z1nhgl4C&N?_qV?7=Hu@~wg2Tffvt>R;%o45665#6#OS-I&nek-?5aEoRDWiAU>1eX
zHw=bER@PT=VlFKSyDlo|r~OL-@cr1C3)?Zg#TuHLBzqmKfF^QreT_f{Q=&v2npsL=
z(tWwg4;){{w{6Qk)@e`<fKFasUXE8VO@OpvcQmFkyj(ZI6iD8446@!{c>*ghHkop?
z((T(fQ@XK6Q--lFhDO}Qr|?k`5fOO%&Ye4lZa#xi!>SVFMSKietb(?7&3%}ausw1K
zWRP_K$W=BlgdsT<6c#sX$+4jq!w(kBs4$El#ZENcBpqNL@4ve@L+C1h`FQe-qYxyI
z12!`QvV6|`yu8#jG}sr)!Nw-wx|ji21d}Y_buSSFTkZV$tfVA1%yN8vcOG~h7B<q`
zdt(1ii2CmhY8ZxUSh=|!tgLoWQC(M1xPZM=RZlx{cktW?;K9Rmbfl-NgoNa|ELaE&
z7sDlhGZS^5y&8D##EDxZOJ?+4KnaosQ&qJIa~$jxz_$4;vlh7avqF+WXo&(W1zZ0U
zAK0J@Buh~SpA{h5jXtO&UGS7sQ~Sd_^MpJbOp`Pw#;<`77(!yAqcdUbz<8po*u?<{
z1H<08(+6t{q6siXNk#P%F8O*t_&zZJ0{cQ_F$p{W>g-&<BM91Tbn~Xw`l=H)ogL`y
z?Y(7AdTA>vW<qm^x9xxj))}n&;>8bt{~A$KQy(DBqQLU%c-*}MEWF0c_HFj-eP)L~
zfU~uH`}XilH6HC?j(mM1<g~X8k=fX7pZ)xK9n6Nh%JBdw*vLRe66wLMVE-0!U%lW7
zQw8!z%D5WX5;Pk^f(md6mMT|o_6NzE!{cn&i3gF{vuwc313tj<J~#J(C(`>b1yz0G
zRDbIt6LUHR!+*}k90d2~%;)bF6$cL;!n1)4N1YZ)un63XqXx1_OH~h^cx0ya2{9BG
z2)DNq-|9MyFz{jQ)PsTotfKV(<f&62Z%CC4_;%nXA%VZDg0H<(u*vHF>PEU?hv<RN
zI(2wb8TQ(^tS(wrC7tjNkbCN$f`?Ne8ddkx(ZLak2Og9^ByFTK6aQmwbNzY)_H+oj
z%wN;LhuB9PdXZDJv9WE@!%hecx2286R8@n)Twn#y$(h5DE-pE_?Sd?9JiWuasHt6M
z|1uxFWoE`P^|Sz1cQ5xAz&9r+Ojz+~0HAYWOz|?ZvJQjh!sG_mO<>br;#GR$f2$U0
zCjuWI9|1QA`v~!cORnx-Jn&2taJKz@CpQKoeSIsRkWUh3=jLFV|4r!Z=)fi$ZE2UJ
z%@+ZX9xs_|-~(?kJR^UO6emG$FV*6AIc6~_DcAOYFswalYC3|5xQOZlLF(c~QeXlG
z0%hW+^PD{!P>*UowD<2GXHo!dR#Sbr=y3Lqz5e{5<t>i0PnY*ts;JPps1^Og_sQcq
zJf*R*Cv%JOWB|bLtCqFUmtcm6t!5C+wfOds&TQEIch{y?W^f?v!tV!qXA*MEKzV}T
zh1qRJZmvC4Ch!Pars0=QB}d8}&fv;Hfk#ysfs@s=TmbW*eKVar{HDC3ne0E%yg(Fs
zD1jI~iR1Y%V1LNf4{Pqo3zVI$i!j*0@{6JfBbd?rg~!+$MB?BqEDm@I0-i0ye^h7#
z^3x{?hIV&~$-eLV9&fee`&RN!ml|5rw{PDJq0~aXLDSeW311oZ`JJIY?R_;96f;!g
z?aTl4#H$PZ@C6-xMsW-~qoz7fNIorMy@mag5QMM`3)Psk_b2!53Zxa$<-aF}c;%q^
z;!?2?2whui>lgVyTwi(<doW+u`K2ckX=!T8eyR|X6n2-Oym*3a=SGov2f$N>M_OHx
zmrwt=pDtGXzg>9cJTEWy-fhdkg94zLPHE$gk_4(J=a!e3@t_?9L{{`l)Fm%i47YaU
zd`M0+ogwUa$Ci>M*L9dIG=(1E$s<l)g=?7Pw-ng1dp_RB;v4KLFDpw&xy?Td+Y&M!
zQW>!c5;daY<FOO+B6=yF8Rhl%t-d7x!~dK~-yBF8xk%&&Ru3W^c9c)Tkb#PT%|cj}
zl%%8=7g}8I-kn73?dV2V!PAsPpOA#c#i?F0G~f184_)UtR8jp~i?~?7!~AL3(-+s8
zlA4O=ZlPlSef8=Uwr*i}3wYAgL+9h)zgI#ot_7B1Vd7v3fCdI1gDp0Epdw>pimiyS
zxw6nwF1ot+4$eqPzIEs>e8g+oM0!exfPk}$i-WBurPzNGu(@2*vKZU0MMNSaBO=C!
zh7uv}CMI6A`csZL!tI}b^C2HoelGP4LK*549wu|bcW}xPH>jzh0nP3;?B8~FIkV1a
zvyL!ZI5|NaT*Q5m@^C64+q%^Y+mi5R?5D!^r;*`dEaZ89el;nnA=po$rR|l+BO^#6
z9zubEfr0JJ8H69SGt%P$LEMq1Z-WLYnQLqzW<W=mQ&gP7E(T*c=X+wb3=G3PJva6B
z-y-j0Vz7%?&%<K_RY&?-5t<*2jN;<rcmx(BV>mR%Rp@$X^X47TEdEO<)1Sa~d3qC%
z9A;pstf~Sk!A8;(m|uMI-tm92_TJ%KzW@L5g~&)lMcFDVM8ilKX~{}OW=K(H8QJ62
zE+w0ckQ6Di>{%H_QnCpl64_+teq5FJ@BWSZxbHvi*KvG4-|wfRxL((FUg!CIKGu`@
zIN((`S66Lq?eK^Qs4NO!8F_jxK!<_y4ro2%N?yKmL#_vWyQ1RaG5-GG$)~Xpdb689
ze;$W$7`w}%Lx*rMqL)VFn&&$H1P{n113uB89mU?*RLHmw?70BvvCH8}Oaht1bE=7u
zd^RJ=qC}u*1d5B3m;7Z&;ZlEcR8^G&LRONChgumyP1prrzkZEf4C|rn)vJfEX4!BD
zQT<F#PWs-v2j|Mu6jJC0ztRGB2f(O!WR138evF;}TkZO9v%qU2wjqp^-mvtY!5Mqo
zMH3GQYc}BcJy?IR-ClkBC(5os&(uvvM<+|hgGtxG;O5Pnsz)E;v0~Ty_N_i+D?J}G
z7$I@s25A`?`Z*U*2i-;<5*H^YJfzqfu@^i-LPso4FuY6v*=3-bQdYj@(uJcFj|gDE
zc}vS}dKqVN`|0TDaEd@LqL*%Z(8FUsSoj2-<7Q{So4;80Upro)@4<e<(GrL#UIV%`
z=smIi1U`#H`z0s$prRWN4HRyA>rxXEuw&hV@}%<J!s13K^z2|a#oYn00Tn>?CaerL
zQC$g->5Fg~;YH$+b$t8z^NZyCdajSD;K={B1;0B0aRPh#F)*+Pucp9Sn0GSz+@Q7O
zlXqkLIzAKk6ShRB{qhnLn!DWCkct+cpTCC!ZBWC@Vvd0V1<!XjUzU}e-6Gxbbi|gG
z__QL(Izr3n=!4n9a6<F=E3<}UG@8G1C?b{aD~PWTcG;$8P|taXBVFr2jn})g3befX
z9G4qAbPHB5_&gv!jvF)izb&wNCCQt=fsz*MWf#m&Mbxv~iUqaY%q4o<>K2_Izo{P6
z4_in*Vt96i<N;Tz;L-$|G|poRdsMG>2wVN0WM^o7)@Tr8Rr4^PI4i*1edSvSvF^ub
z`<qOiPeo`xK2=B>bYVPrGd-S~sHu&*zRSml=se<CNNYy8>~BBI_cMc<@P9V^$VY&Z
zcXe`HJ5l6L2GP0El6uiw;#-QGDM#LOzsXZ)-dz*U6%~rnTcOx)7)d+FJjg(_bSNfe
zzVM|wUm1MlsDS-^u`3ZJb@7#7!E&1EIVE<cCy&`^WIP5}GO=?!rF#2*wlPk|%8)ya
zIiY@0f9vPwr{b+6>?sT;uWH&HZpV0za+ZY7p0!;&OEq01G301<(ul58t2n3TcgR&j
z=$&2aN)1DMCdE4aq5Epnd1>Ka)=4i^8?>FA@+8&^oY7Ox-AYSX4kQR9xzQ1f0-}x{
z{W}SMpKqeyYem*7a>X!tjU19Egskjc2YxU;6{78IObxuAR6j>zHb=F%S1B*ow0V1~
zT-4}>pj-Qx@y_*<Cc)Z^UIKH=wCnnkilcLx@_&z)o#ByoGHdXDGr=S2PrKk$KxOit
zekbb+ITxmqj*duG3xeo=-BEh=wc3#5MC~!!l4p|Nx-PUWBlZt<(qE9HGubq2EBw^|
zWBsf+^H8@$zhJ*uc;SwdZq&CAgl&tKqor65?b>I=KrrTP_V9SvP(0PZ@LPeI$ek_z
zxc)H_n>cpdCJh~OiIU&Ig|5QAgrLUbTM4(r@0Uo0Dtt{T_bY!wOecCTh-9`{5J>|$
z{W-nE(~X8Qi=N_4#EyZms|`}Lou;o(#c4cSNA=vfuP9ia{UJ?>#j!XShR?qD9Bz9{
z99X!-M6ez*oM)7$+?niO_58;w#Z%F$Q;nxC5!)7WFHmUR>xt(nG0oBm_5@|O$kFu9
zh?&h)oVoA6iET|H(taqkg=NhJiV{34rEh9&JJhCQcU7Ff+<Df(db9b5Q^el2L#c6}
z?KctuRyj3~Jep|;jf9*>l|@uhCp)Y)+2>><Mkd8Z-`dQjIOH}6Q{9sLl`49tq9Mk(
zjGO2^rL)HGTs1K=wR$t*)twW_6X{O<@mS9`eY0kdtYb#cm`uiw4{d55>G(v@O?Jy0
z>jXKJJu3<g=I6dE|66gdi=;3|Ns9Q7Rc|*D)2Slaznawd6WkZ<76V{Ve=xSkdAy8i
zX84Bp<kYlu4V8&(V>IABLZiK}h|`Pl$g+{oo0hW%kKEnEcddX03^8ej#_j{+Dl+Id
z`e^Ik+}?sZ2h?cD7Nl_jcFiw<vUv{#osd2n$Caf9ec1CCNk{KHwpGq^b{8)%vOkzP
zfU8Fa@$+Aw6Ltc<q%Kh8Jj~sC-ec~RAuw%+BroPqf1wNfGs{nvKOfYi;Xwh3O&Q^%
z5#f(t2D@|Oh|7Fe8h3pQD(v_zYrW4!-+I*jcgvII5?<S~R;i^1y%14aUOwis_clXZ
zTwGHMN(wUklc=l9VSA1?bC;wfe=p0iV_%IzR5UbLZGw6q9U1(Crsi$QV#$}msf4x>
zwl{QSs0HUzW0^t9lg2(6E~BHlV`>`f>hNutSFFIX=0TgeR!NrT)7DYA4lnFT|NhR^
zt*X#$37Pmm!YLw5<RS06HyV!f(n1`8TvFD$nwlSBi6rHYR#xCK*Rrsjgp}0GtiGr6
zC)y(+gk<#70?Z-6X!_8C7uIEUcXyYnna9~IkbIsff$mPX3tIWCa|(H4ZrA?eKvu1p
zR$;!r%mh3^4<0O_vV-p^IWNx*0#KyWLZ<dp>w=q`ECH|vl!bwT0jdx%wWw5JQ7C-=
z{C#VyfsPJzpdB^|Ek_y;4VO5dgd|wJg<nL3Nl{(h2FzC1=wF@#9e5v9&M+>#ZMeJ^
zrJb%30R$giHHbBOX66Ub|AFmf*U>^{7#V40YujE~<f!WS7tW5idXbj4K?1x#+L@J{
z)3Dl*0h$oh6F+|ZAVq*)lP#^SAaG~VQGm9H-0PZAShxVM3JMDt#NT$0E~9=0{G=t-
zNlCdc9qLkC4T42s#YG7Vjsh8?3Rscbx7$I8im#uUxmZj$1)0GOfx{rS{^kOZ=>J2_
z@2C{|`cQM{qNIhj3%PSJ^&;E!eO=uybQ3iBpTqybaQ;IAyu4)5Od1*g0#qr9iA~&@
zobn#Jrer|?841c=5Gv?+QBkx$BCqdZaxxbO#{eP%U>pAP5#>)u2@hj)LP8%(05CE5
zuqPbT)I6VE?qsucpYj7jLOek(5?VSseLX#C%HH1I+<wv~B?JMo695w+K9~TXJb3~>
zX%&zBI&nS$fg2UwP>rlqG&g@Tt>wxb9Ubzvp&``fmZjh|#|wC%_?Kut*cH4Aii+g1
z#Ov$PB&0#Th-b<!%5=`!+5?FtaO#3`M;QZE^XLrRvJ0f)S2w*2rVGf!e<t2@v|qYR
z4wf&)EcDBmowxvN0gMCVWc~^w{A<^)&BGyq)~f=|h2B}PvnXv&fxdxR79G*=9i%rU
z@_Aum;w_t9xlh))%8gF%TG8)D8XE=ugM!9UF-}g}Xjts!uKDt%aFl7>mljnR9i5cm
z*d;~hzr;}9Ly)aBV12+*b&aC$!o2{u?CayR6=wCSs@6jH?C5ACGqZ2#7MfW;5{G=*
zCxNX%H@$&!`SPp%+tFbL8D%Q+nhd8#L`D{$r*p?nBev9#3<+%7)P+<<0^n*KK(L}`
z5P=*$It-`|Hd-uLn6R<%;eiD$_&hOD7p2^Q6&c%TX}Ohx4Bw2&$7_`6*F5}--YQGK
z3JsV;$BS?R-S_w*9D)Y9_GVWFTgfDOrxy!<0i0xu{f35|bL&gW%X=YmwopHYl8-$$
z><<d2l$V9#RQc{A0>aM0Y{(l}=-eVRitpz=+n?|Ud6|ZUBGpXn$e+-X#H6I!hK7|)
zOx@!%Vj?#ky<Y+b6kCEkY!4!T=fj6>FbH-jeramTd9{D?Zb-=bR%KOHE4@Oj0iYzf
zua=gUaDk)gv(?*;i!r*k#DcYg+k$6^z-xouWCJ_9O73Jb%mQ*n=-6m&Abf>}W)Ryo
zvIk)7MJH*XNp8daOM7Rgo~~|M{g=pYAT%u9NHS`^Q93tXyB=0lS=sh{=cD`f@om~<
z3KCA-0CG_O-hW;HTPu8JLDccShx@G?+=wpKBI(2M7Cm}&#@>EMOpOBIQuqa1;vd9E
zKEiUbSQBym&u-ZxxoI6E|F#}4=o$zQ`HqH$lk0@V#aAivt}aM?iHaGPJ2Wr=n{V8>
zk(ZmBxjzUb<i&sJ>DvJ_2*e=y0%Wqf413`@>`??ZLm}?eM~`R_9TA(9q_S_{!+pE4
zw_uTA_utEX0faC5uhjUNYmPi0bgpxq7)`tPH1s9+62Z9{J17t}+$Yjg4PXpNB+NeO
z0yOpXo<4tG0H}4e)Y`THe-FO`Su0s?d;Kbc;1mTI?%;qZUKT<@fmF|*%C&!NcWGhn
z7u(`N3Xo~5C3Ha2)WjqWeHp@ZW%lg3Qz0TOOh)bjvg`^#q8JCvn}8w^T!N2o5AX^|
zc#Mu6vqKIb>kGX1ICWH>Z`-k>w!S`-Yj$6rj6CyxdJBesJY~;h7XojPHjiusY=b~p
z&z$K7L;9t_^~EcHZo;qP&b@m^hycXKk8b4?Uo!u-)ti(QJn?>j)I36RsghPFtHuDd
zqm`2ue4Ljz3-LH0xmI2yC@zEsV;h|r_<AlK{P*(XpZRa2{6kr>CdKrZNBgsWEu469
z^i@Z;-CB8Lq3wCkd!;CXkIhAOb&Y6ai@j)>+AFn|nV7wmEXvc^NMTfnp^agxBigD`
z&g_#klPC6HvSm2ox-rGyM_--Tv3Hx1UJAXU&4Vj0d{5+9a_O`t>3A!iv2;}ZppD(O
zxQwFs_FKqhf-nw!mKfi%K~de)lzUlMu1b=6j?<U}5nQ+7MeMyU8sd6QZtmG=?S+A9
zA(6M#{@=7;n0(sFO>l*<v(}w-S=MQET47XF;K%hY-{t<NHZhqvOslgR%2u&c3OJqH
zuKClB2xS`<`0o=il*l$@quBZ-h~8gRTRWM+P(ojLhse0TxpdXrHy%TgZvMwsQj%uP
z(+Y?c+V;fRFpe}64Lg2H`>cv#!a5!*&CqWj>>p@SQJ%l2SDtKtEkyL1x6Nm_%3Ez(
zh`v@qsAc8^U7FG0CYUyBkM4TBUXo=zLqx2{dC28n+5ki6*Zo6j`30?!Hf=dN1Vy|;
zZV})QjmeLEPhJ1Xhy`(qw7MiQxOZ$7lZIW!x{hZl@0XW^Ei^vbB}qNBBDy$&p;J)7
zK)Eb$g`%DjE9Eksa|v@@2nay?#-^axjH8AX;!n^qxeT%IYz(0BH>mX7(#*#)IqKp;
z*E(I3?@0uov|m0_i*A7~!qE3giyV<CJX*Hu`uDgow^l6`@uu6hk88|}s-?09bLmW)
z&%M#}=lbfb7IFXJ%tv1};zEPq+6Mwor*CbGETS7DDx((%6b#+!QmY-M2R0H`JBQ92
zd&Ms^xwX+*O=atPLf1lil>Nu29_!J21(J#}w9@Zih6WBOxvgo{&Ha|)Qa}>Fm3^7D
zA|Y>^Zq40qY+xh?7gDcIObl*d4Yd=LOX%EKDvylB45IvQ=kINMmAi|)yI7)$kB!|c
z@1&>8Qfh1aM5iSlD;N0KopHaj9OBOPjoD$Wl-6HNx);AI(hyI>`9*d0^q5L!ndMju
z?1~9W?rmA7l@i}HJk?C;D7T$@MW@es&`~1vhax*(>vEOU8|)U<J+YZEF@3*2?#Wia
z*&1qs-&OCHC*z>#B`U+b8c$}+XF`Na&GA*oJ-I?lwQZ7Crl;O&bsndZ@$GDRmlB$N
zbA#P=D`6_-WQDhtDjr0VWm|~8!HMOuFMq2Qnw4cfd>O}X%JZXD_#k0vnaiHaZ?<pn
z%Gu`X>Kp~C7Iq(EB~SjFD<>B&QMKh(T?&<ap1M0MCnJxQ5|Oc&iM1id_N3&V9fZ`N
z^6KGrRwZYpMYidTIuKXgtX_1^4CoOzR`vX*d-txAP%a3oxWXnb$C{}Uf8l~yirgg6
z>P+r2LhVNluT@``XQSRl?Gk!o<MkTdk%^EB;znWh!k2T#uQyfCuk;p%BMUAj*YRp;
zfc&j#y1-1g*=e`33Y}R{Z)KgfTxZ*V-z`&N;6BN*Zk||zQ<T~Mo%$ra@*m-<9HyhC
zg>qH^X;q+ho<4hqBWj?(zqzFa8=|zVY#zv#5(sdvE1jN`Qy^_1C_n&D)gZtHDK!<{
zqb>!=S6ErY!p8OsRu_bn;Gd(c0;^<T&<flhsm{0i!4tf<^0|5Qu){qDSH2=^j>XM3
zNZNMBVKZDXeh+0HV7VtxdJ(h>ax4S?L#Hhe(m`&&b0#Jq&-M&Z1kyK?U#0&wSx1A0
z!cl;Dm(gi3armGfLuD9o|2}3`yhilKLc}q|wOd#;GrU;AB|CwQmYESL0{ArH+XAJB
z^>OMr?GAhyn|<4q@_e9<Ly?8DTx;D4R3|)tKAfEMu=+p&d&y+n=-fXbte>Pp5HK(S
zMKTozyF|f>i*zb<bAS$+7#ZQeWaHxUL>Y}b(E~-xPgx4vr^d$Y^z^66$*_g>uh0WT
zN2QCXKo^&$mX;sizk`uM&dvhPMx6L4eo=P;e@$@-1po>PPgT?gc|u6uA;>neSxYG|
z3SAp8^w6*{(6=A(IFKb%QUVVq88m?9fzUqWyjOxQR#$(lE}_=KutaDi!QB|;+m4oW
zYPjRV`SU_W&M;G9QK1@!77!SqMPn#<9@xK|%FAyoNRz2Y5uEzP5u#I5q#Y0h+Zw+p
z6lo|>K(f;Q=~j?xQ2Gn)i>~Q0pnGUF3Ai9-QO);HveaI(=_q=za3d2YS|E~?gQ!GX
zo169Y^|8dVK~8Sjau${@u9o+W>z1xE9>_9KU@l5>@=x?|)qUgq0t2`iD6sL#mpTNv
z8hYdh5>*Hk;V*}yy{x`o5~Lc+IOzQVo0{&hgIfOFzI{{_9Mgqb9JiK{@TCzt+~vID
z;%K2J=<-1|^bZe<ucjY@X>yJF=3TeB{?OfxFKxfbW&tI?$L8C95WEh1DFW2MDmw|z
zVDaEE-ytc9IJO_36Kdd$KR8@;Qbz{@#@42$L_qIPpZX$u0Qbk{OUS*`R#sI~5xa#O
zu`sCKR#i#M-@oQ4h(3UTjMVHb`#o0tAJ@Iy#O-2NhGp;>YNCfln}wPHZ7lSrb8~Ys
za_%QhyYT%X2}TjRRY(Y)E;8Q$YcTogQ;VDOmv|;Vv;DpH6Sy~Br3?hPE~G-5Sor{Z
zB}4xY9;9V@5+DEExcE1Emcim&!0E{17gyor;BZHeh?*+fdMI1tG1;>K8<q-}QBY8j
zm1U>kD}g?n%ew2oQWAME5L7@?c<At9WY_r&``o%^@=PB=twsA%UcTIgoFSB#w@mSp
zAgCUe!*p<VpqX~(F7mj8Kr4VGvWrBj5hs8T;-l8X`<;-`xXp85c8SApbeI`4n~M2_
z);?KSP(fi)VR44cEcWBv9T*Ye23jBOA^~P+9;$i7j0WNTM{$RMT;#|8#3lt206i+I
zIx*zQ2HkU92L@x!8mbb65tWw4zng%N{fsnS|BP$xPftW`Tf1h#dS=^Rup2Bs8X^1;
z<O1B^d2S_vjR5A>QBmOIxEd&}{X;@fDh{Ey1<rxml+2h$-VwTVAHi*4R1gk<luZCM
zSZUt)J-~0U`*{FnA_b0qeld6yr%ru&HfYbLwAANC<Hlv322K)T4+f*%weJBKR+t0Q
z?}Hx4s}6c=9@d1l^vj_Ci<^wY9|7OM^Bn~Rf_@ekpY`O&J<`(%+c5zG)XbswMPDCU
zOpdz-%1k5{1^q`0Vh5q{a6`NWb^%x%6xe>UOPEm5A*1te<E=ut6}BeVy+$rB(^$R-
zN3kbj8R=p;$@I@(pwAQH<FWD#QG<gG6GeoH!>cQ_q?9~6TLJ1Ei0>i1XnhfOYW<hX
zf3>J?2mHLP&YxFqi)>RyxLIkO6e2*`3wL6dgZRt}`xeLZDQnzfTicbC>WcP*AoRqH
z3N}!n!WWG3s69K2<&<{L6S!4b1uAJByto*E@)o+AM&2U4n&``3S^dD{0k@NA-0{%P
zqASP|mQ*YWf_}w{b$Efn!ywaoWo%*Jm%+TH&g={5L2r}I#lL5*x`WXGf@Npkgy&Ty
zwWZz0+#TdmYhHb-vZZAbjxBBN5WE4{dV<CmAO4=&^L@s3tYsRmd(6afz`H|QsbQQ(
z29t)eGTA0W?tySnxCairFehY4ySuRjbjkCeJE+K4fMspkg?Q*GvW^_i<C&#JU<pp;
zflsxyrX08d$-)&MKl)b-i)jF4vVoF8^26&XFl1Rz+V2I1hxdQ~ejhP|NHkiz_VYBI
z$r(s#A&gosfe8AOAJ~+Y!@$lo;9*z2eT#FY5K?K;+Pb>BmKHKf1zj6XCc|{o>*x9I
zB9b#}JN}sfQ!$BU`v2}fqbe0xzI2l&)B2iF?KmWi8sUwTV&kG<r9w)|7P5Ka@<m~H
zlm!kg%}){Zf>UA&QWRj5IHwvK8mix|U%x&iENpq+Li-b!iIpDb_}4L_`yya!xOHfF
z6I?jhUNPjT4*wE!`>MQtuT{5rnv~RXb|$Wa^A9-s$XVOy+C8Sf+uBa>MbM(4Lu_hl
zx@W7}2wg5nK$qcmIcRqA5(I2MEVZ*6NFp7jrf;!NVbP+7j-^&O{!b<=by{X-$o-Or
zhA9x!*jmwz4)Sr~tjc<ZPX67&joMmTO@~m=o{!wcQ}|DjGl{i@Hk~>LiWrm^vU$57
zKp*qJ_TUlW>5zPH-O5PrlZZNT&kFF@*f-(y{!VnpnzB3XMPR8{wUW`QLEr8~M<ryp
z8QfUH7ixj@HI)OD=1^l)FAWI}MnF~i`Xq3v*qkF`oZ$k3!Zx<A@152DUE<|;PDWq{
zSsn}W4wafIG*-=L{Ri#V_e0+DhGn=d_eFBcy#5j#6V}t&DS@R&ATR}4N8%BzMgRd?
zoGxwqUwU`({ES^3{umokJ2q^ib|}ktF+eKr;lu4n>mzWW0{^j1LoFC_5RL;MqZ5s_
zwQyw!P@uo!gx16^ysJa$FGNZpFa)eWf7V0PW@2K=lb-#d-~Tb6DVFfoAaWC8s7CBp
zi06~Ut4x~yBO{+BC1G{rbbxS(6qt#opSPWHvPW+Crymo*)=W8|oyH=!ZbhwGTH2#+
zj!O0afD2UNEl7R%@RN)@TuUhW2>1XZU$k)c&%<Pd*dp-8<bMYTmp1G~jNEzqLvK*{
z;jOGe$pZEobr-e)6gfaDy!ey7>fr|=5ep!R>h~p113cvB=Eh$FXHG(YKoy9QnRy&=
zx6kRpDuarQ8)FvCDuV$ydcj+a@^U@nbyQX$>`^0D0AV^n^P8Mhgk&95E|AMZ6Bh$?
zAAw8{V`DXSbzK0sK!yNO9cpJp5?xa4+atH6Zqi2C0BZ%v251{$Zh-JB`+S+b9iGHI
z!q!{o_(p);N?|h^7!YY8W$lq)W<$&%_Lf0jS8F>i>kfA_tZ$B&F4=HmDA{YN?=v$)
z4|8&wYHKrSHx|$Scm^%`zI8ZYAg}1eeojq8gQ&e`C+0y>Ai!6zUL~`%K%Ar^+k77n
zBuQ&nSZX^3SJ~M7Y--X)1`Rw|IJ6KtApFhhe-_vunAo>AAvX4-fM>tglK5wv+Mz?{
zsQ#dlQdpSyOgigrZBydnUiXbpPD}t#L!ujyq7x@hAY+ar^_NC`VsbKOT<}m(86oyQ
z@loXdmO!Ysz>K4+i41aqG2MDX9w!8JUhz+!AiA_*{KFmy@sPj(bl9@5+-U`*3%E>d
zkgx(BK&OJmhlPvn5q?L&<>81H>K6U~3sCmd_WWtORM~_j05M-pem>5Nk^}32AC;cM
zix80U-W_qZs%5I5+VvpM(l0P7jEXYEds{UY_~cTl!2q^ah?=s})3-}X(xzeaynlZ~
zzaGL5nqG8a!^OcKi0#(I)>a-)3G`n0hDe=ugOjsbZ?T{%{pHJb-b1mw@yEct%VKT?
zT&d{BbSiwL!*@uKpS0ZpsWkuOh-kHbBiRMkgVIC8)$7>V^^YH?HbLcJJwa9`NN}T5
zM3g5YZdwYSUMrygSGm*k9k_x^qry)^p7i;&DmY83J%#MrFDd=kgOGm*M;|rv)Lgnx
zftMg#Kp|$n)I)uq%Z+wVcoVZ5E$vTVG9z+Myi%HyO(L#IGwS-EOJq>IzYwfi6-H~q
zTNx=x@Or%Gr;Bm_cH?I+^WeL(FgRD%x4W%~O(~Mom$f8ZE*PZ8>N`mh(J5Ijk=ONH
z4c&FeGw$eVJ_W%(%sgbrb=s9b?5iDU{8{#g&k4mZTB-7hbc(s#ZdXn2;vtTn2x~Q{
zT27I*RX^CB*GFg?bxbdBCg^@Nct_Tqq#?9&Vhc9SdGBxEN#vVPc6O<z(op&h4AUgI
z6pvoF-}cr>+pV0x;koNdf|`r9E|d*ZWjz~JqG=?Ax}OBEYp-4w+t_ixHBy%@_NHw1
zec#aU^y{c7c}cQNlR9C`393eYtxD?E0(Q#}Jn<7IHuzGs6vSQGN)kFG4NJ!kDy?d_
z<lHFIlHX-R><sNV`)WaCIhD&c%`>lfR&}t|On#NwNqB{Ezc6__Y`D!~Co>`9nR`TY
zr)m#XK{8v-6^+Ows==9tP}*}|?i&$Izo7SVJo13BuR@UqgQ5kqb5!=vs<4K7Hy&Mu
zc^w&rLNC=dL~u??>%uOo*tlTYFXm5iyAIkqn=ue)GH0#SRJo@YMQjc%++0x~PQ=0m
zVE*PNm1gj_N-b}%jf%IsG+8;P=fw%07?()e!uHUqlGf2h`xyC@<NQNgm86`HUt3>K
zxKvKADt;$IwYrzheqRwM5zXG{oLyf?(DMwM?2BgH!x#hJp7O3dfuMKDWfPdIuNdFu
zODI15Et?v&oDz{RiP@TU7v0r;FA=d4VYH{TXbF{X<r%T3wMB`}GyP(>WoA+x+;;BP
zK>}=>*t=A>lk%xH8cw%&yvPX}*s~zkFB}d!`_A%54VE<bM<#c&?kzgRP5Ep(wBOA`
zm@TG%2RFrs(-{T`Ioh-Z>R&c95|8OiQocRX{dl3wRhU_KSexK&@Q>7Uepx0*e7l+>
zp7->!AC;kMrRgjA!c3x+fA8s6bgIoC9KLSLI$9x2Xok6#Tsb<RMdh+8`Shzm_A>-y
zhM8!hP!N+z1^<55y%1zj9(8O?kDUvQ?9%2mE)&?|5Kz0BIKkzX?pwB)|ItN!kNhTq
zLv2=3w)>f>-phw<N>@8MY3!GCbl@moo6d=a-ATPyo|#c;Rb5;@vap4qk1AidG&SG5
zjbf~j+{Ku@mXPtd%Ov)zfkt8>(qr^S^F;6O!IfGHt9Yjverfm1?Ye67mcEjZ5nE`?
z=&Ks&)1Q5Eh-dP!_O+TmTXPS&Bg`c=f;lz4T@1SkOWL-M1+(EkVq`XYE^>N6r<{nc
zw@i=ai<w)Q8d6V;sLM#Z?#R~{$hW)R#BNMu@~m=U`MVzJI-;jx;`Bbx>jOmPK+f=p
z-O0(0GuIqdPo4fYg<cKui3HBf(EF6Kb7p2_GWye}g|+1YjZ5tXF!CFWj5#r_P^|I`
ztS*B_NJULiIr7neeu7;SgByP(hM@~9U8bVa7UYB4hh^>R+TNuSR~z-VC(tyY8|ZdC
z<c%TIZD^3f2DWqO3Da4y1!&1p{KCzMiUYkm=r%xQ>M`<iva+)WGjUFupiDz?gO&k9
z3A;vJ_Hv7FKh|P!>OCkNY@lbshQ`L4n3|Fl0-6P>noY-zjBL%#%Om=J{AlUTg!~q^
z#dqKV!Bzm@LJx>b$;v`h?FY!pQj$aFUw^8Ke#AOq1!Z1=cThmUF&!Nq(9G~1V`_kr
z7Hnz|ukMtPSnW6Q>lZYG5YwJFAJ5zViTxU!5@!sQZYg7P{lgGlQ$}I;5zNEw3UJAS
zr0;EuHKfnzeaKK3|8M9GtqTq~peMoy9&$vgVX{L;hW%C4bYcb{3sQ?_RXo=8qe#FR
zjC^GwZ1xBtun9TXhNcH4P#ZThYGDIN4xzfJs;n&S25F2B1Oae`S(=(=n3gdDTo_#@
zCUaP9C`{&|Cg3nK>6>gy$<Z>%?nV7(oOI2paeez`onv1Get{<nzOT4WT;+(e`=dSo
zY--2<^8QsQd&mosl0s@?A&h^^HQ@=zOoG{$*LE91yp9@{G<Kj2BxkykO1DBcGKr9i
zbB~iX#DU^T8ZbrI*Ixo|S8dUXgt#VNSFmy@+?3VTf!d)bcZP@-37*hT)(hyBf`~%l
zCx!=wzTQ9ZIc+BJze2Qj_(L$jCom0Xbd=O(<39+NBN=)iL;!F=y~)GFfW$2u|7^3q
zMA`*Y{75uxXfbRd#gqdni%Sg+2!Npyf7%L{a8UCR8d=#k&Zyknz=W&o%b>4N{j<)O
z?n5B@W3=(mPn2#3Z|Y<jn6RV;*p3u<uvV89)6Rd2L&Vr<A<9lbSeBaiZr-dQZ5h5C
z&M17KoCE0i0fC?|b@cRRz#~H}4rG=f!$&bhwD2_gCVV*>6B`@PA9cduzzBHfQ7UI;
zW~ysw{DvL`MF@bOmI%=<EFI(*oq+6uOh<;bBu*#HphJRy&~XOJc3PxBp9Z1>60*x3
z7k~`F7?6`2HjsWqI?1d~&dgZjO(?<Q4tFePX73pq0)KbWsT`n+0tRo;^|OiTlgXPK
zH|9MS3`hNkkZ9EKDn32@yTQdTD*<6!cH*N|*zYf6Q<;_STw3B5VzW6cf7v+HQMM90
z&OT8Kf88Fef$@<wi;aPCD6U!Vz@ZVL;4R;3o0gbaP%w||$ENRv;pl4+*-8LAi)Icy
zm<ey>QuU)Bey|P9USLoVjGA}|ty!lb#fNui4}lu27{QybzMqN*S^~ohW*abf8C<-l
z|502RNG=>COuV~yhfkj3jH%H%cFba=cG((fvgty_ZBg(nCFNe(i(S_W*q4xJTWcGe
z=0hk6cfPn~)aCi<T5C1NoNgx|8vr)N?1TtIKrIC6lofe#s|`CR;xMof=P|^wrQkHy
z(izeo-Z?%~TlH&fEHGNpFsLtaW+70+@o3SgI4z4{y8D`knliYrQb*d6->Cn23*jGN
z)9wB9O?5T1B6_24i<KzHo41Z4iT$V69zNfHil_K|;jLRuIY7`?zqf}p8Pu~kBvQ%G
zAAETODEYrSZzcPez6<+U4+*XN5WX`ZDajIMaa6w+tv7%b#K_oDmmqi<${C@;kud%R
z&O)u?__gYfKX^Sn4_z=jrcod+0G?oTd>1m&Og$*iABY=3R~lVNVDY93{YF`jKwhd?
zbOazWPXFAT%JYxJjW<|BzYJ<|;ytnu)YRey$xKQ-8pJUI3}0n}VjLRc<fn4d(qUgh
zktmp5x=d7FMC94am%)X*+pdUiBAXv<HGm9Qw;49|GGolj4g=1VQLed@mSdcf#m4Hh
z2y`R94-DLSa@JiBXAQa#^tAC;uDpf}3x`2nrNE_Fw5fNzWKUm6qrn(F)@17Qrly;`
z4ndxCGR1HPvgFdTGG7P_z>eVF<a#guM*bPlNd^<p0OAo5m;I-fBpkM8*t4HLeM%JJ
z%Ge$w)MW~&df6F>tjL)-04`287-?#jNd1okGQ-ZEDMJF<hv%=zAPw(?!en;nh{{dz
zt>W2!XT--m3i}b}Sd8J7*xm^M-`UTv{qG*4BFUfq7fCPl{I(m@Ej~y|K+Y;l2gmBw
z{?XCD@zO_;9=A`&*41>6qKV`X<y6ML{ZA?KYYiJ)MY$I?7|hu@veN;6o#~kw^++k-
zitfw|s<`l4<B4sB*brLbzq(+@+Kb&1XAkg9E;%<x_g!j^&rWu|>BEKuM1gq|{v2@c
z<Lvl%4im>0Si&MADs5jdExUpl1%NBTJ5XWJJ?4~uQe9t$*=TRyz3WH!jlBnODm*xr
z`}hJcUBA?M5ZL7R!NCIT>p-dC@xv>PV;|jO%5Mj{exIe1K^=W1xEt*E7FJd_uU|hB
z?r4Ma4<!IjJsfv=4t*;PxID2&$(so6l>TSBPaKWai(;{~dITq=L;wSTrJ#wwP^=%{
zRO}7wjdwe*Jz7+7FvsmBUGEuX8F#UFFo%YOkUl`5(M?y31YxMzv#0NGUJ1HgQp0AT
zBv{&Rc%BNOF{7=+*BsYHl-~OTChoy(9~k}-5P$5%3HSqDKSj3Rg&7M11w?!&!=Hlu
zeo`9<<p!WSoC$-~?W}97&5bd5W&33zqu>l$J&X@!U%i?zfq()C&(AsuJcO)QM$s1v
z1!|5l&GJ7`<OMh^?9TlAG1!de)>d4czJURm^z44OouQv@>6U%Nc%J_iA`}mK0H6*U
zb`SaDtgI>A0$X*}13Mq%uNEafwcfu=(Pm#LV14{djBkL`;id5#yt&Qgz~9*ue*OBz
z)^JArrD|i8L){gx+k1d;SRI8V9U@NHlNdnq)Vz7~=vC`-b&|15OeA9APhu)tTkE=H
zZLuQb88KGMc{uvY6(w}v5GWaF-U<z6jZ6}QM_$qwyxqAAcY%5<tCc+Yjc`~N^}~%<
zL`4Opq(U2&v7=Kk442gqQ_t>LZIt)OfeP-~cm7rT_gC*dEcQL@07?TF1Ppo4{gjq+
zK83i#tGAmY&YnJ<?mTRyr`L@74iB_=aJtxH#}1o$KgZ30cAy9=DTxjFhE3rAsV;q?
z-ZFE1i&GM<++(W;f1WlIctCqcM>P$N-tieS`$^i?@Xnp2l$1jT1)IpR8~@XplKgIr
zk^Ko!79;nfzu2a};RTN9M`4*jDKVUwfQ6{?!w0XY1y~lS3&Aw+0eFoiht=JZ;Ct=m
z9Y8}XIiy6vL;)WD8|Q#R8n#Um)XvCYT(xTWJ6+c5B|<Oh|DZg|NyPgJht}7!s(5K0
zt3yssQ>0LD5PX&Sa1d~bYynk(2(?UUt%Hva`I_z<b^W6MQQ}k2PgGSYPoKKx(ol8s
z*Bq;w<-Z;m*M-uI059bQrbWDU8dL~;AI2IQ<fsE2nXuZB3M(#tIXN!M<Hz4X+pXe~
zUB|%z!%RC6S{iVk<5N>$fE^EKr}HnZTYel%sM(NoGUif%b%%0KDx6<H;E<^Yf~(-c
zYTo-ZIqEuh3D~&0`g$r+!yHYIk8`N1FyWW@SYL1Ru_dh9^z`ZN)3kU)s1lz(O^=0U
z&x*bGe+FmsZi}s^-%?&YxZ6^%I38Cr1osjJm69Z^so}W?FfyK<oBKoGIEFZ@opGtX
z4yOJ8MMk=>s^R3|#g}(692!EYM$}?>lboPoBA_D#k`pw2mP}qMYn1pkGV&b;V~mg{
zBSB3}O8Umf$HvfEc##YDdSp=0XJmA7towt=`g|Ycw;}!~K=wee5d?ME0+Gve5aU6y
zy@iPzx1;FBNhfZQbywZ47@-}IK96qI_kT>Qf3gai0wgq%H6y65i68Y=$VCNkBniKg
zwl>lu-oJe-gDM#)pPuRHOuN3*y_TrEcgcaoWL`S3FlG*^m!0xtf%f{%8#2ilzaCa7
zGD2$5*}p;ZnMg9t(Y!d2Q>u5tx%ptY4rq3SIe~>rNf{Ec)fHK)T?YQ|04a`7egUMG
z03u!Q=L%&oP~I&9Q)6RrO&#u@CL0Za-uvP)i|V{Psu$*7WhUe}9X+~;JX4ZSEpn6c
zt6*BOB6xb*nJMF?B9kS=uZR`LkOTc<FHh`Hf8yNRzsTsJ0U=Ka5Y)F#^*!(nA({n^
zgp~A2avZY$%S2kHI(6hcfz?OEo3EeWxiiyF3!g4K(otVFL8pT^U0Fp19@695+N4Ak
zbRbmK(;h`Gm>s<V+~vlN?}l6ufQ9{!3`N2#OhrZI8^b#K>sJSg3S<C>M@4y{t0bqF
zquD`of>Jg}=9DRzC*;TAO=I`2zjYVv4t_SyYj6qbPSt3Tu@@@hz3QeaP~?Tx7<p!z
zxVe~70z~rm?RVHpNi+F{3msjL>Q4T9oyPKTwX$CG)9`|E%X@&t0$H5`y)fPnkLeN6
z0w8x@o<0T2&(X=L9pgU1pkbsPRGM(;6&HJVFH+m8hw6Nm*tjtqr!;Bs#rCuZ3kA&+
z>UV7PU|wOB+l?S93<4+f_IEtEw9S#*FB_3&nD&GBc@chJ>{7P-_z=p1Rv;Q_(Mn2J
z9zE&?fRBIPTJSVJ2#QbA8UO;D&qw%=qs!OV_e-Xg4ifC9)8-+uJwNh89Vs(^;*txo
zj*C${VoOvr6+?^D2boFJmFtAj1OpxoplpQA&5-#zz|v(PePEwUA4H90tucJSZ=Gb(
zjnB2Ud-v`w-D8Az1S9|i;|OjCWtSErd_PQ9#b(Jycghbob$7Fc$B<6p10~MzWBY>#
z4is1)yo<to`qYq9WvwDkkv;Ws{~^uqC&cy~7T@&P7+oJr@woUW@@1A5AR%9gw0%8z
z6#+zxrmuz%7B}!ot4dzZ|7VlfK^hB~4Zz>xA4BsFt`f02y*)jK2>Zjgz{-NeeGEJ2
zfoD5?=6T$mxmn8seo@W0mRyXnuS}*K=JlZy-}~{_9YJNq;Kanz4X6A#^S5q@`{W-h
zVCSjL^5s_IKITJL*D$-#u&+P3=Bmyzs`cU<dIH_=|MIgmzj=DYzBS9dV{RVKhotnG
zTONmHULMT+NDd-HB5)r7gb@CLfwj5;<~7l<+qz=ML(6)PTTb5`R`qyY(T0y7M}GbC
zw*7fv)0+GQD4$e{=V%m#*1>AH7sEmI^jzVi1f+nuTHqcE!Rdg>!4yj4UZKo&mVbTc
ztCjTG4iA?U7hy0I&QCBb<W3MC`nsgV1g$k{OiXSgH!jq2TdwYaF|_LLgVPxPjL-1!
z@Zew+CVF7|!|qZ!_zkcT`Z-8ag9<)>#mGI~08lTeMFAtQZrmvRnZkCb41FBYIWW*V
zVs+&P843^*LfeU14MBRDIM7js-0Q~lZwRrsjN(3^jwea3$2`T-zl1V_8(+pCBb2Ng
zuKAyYw7ZmB5>o(oMQPciWwTByLld!AS_EkT4IXkZ&$KN=@2budaQTuS-iQu<uFi0D
zHEA2WBWk@twC$FW*`Nq%ZZA@w3RQ&GVOSH@eGIH~95|&k`(TQ7uS)ggto-G^=KyO@
z_|le1I}9Y7Ew+S@eYFIrtgW)VEZlD<Hu}j#*6I=CX*)Sl;#Saw@mC+{YTci+3G;1~
z*jc<x@n?9Xhkr=cz3J5aT0Of5lT^22){R*WkIBVa?&P7-<o+teCH|pLuy6X<uNb12
zL0V<_n4u1v#?iHuoRrF_fR*?~qk19Qzf(5^>esD5E@0#l&Z7~kpy{UP;m=i{_lAFM
z57Wp9WAVuo+AIu;QO4B$k94%?6g_r7GqUh?JX>`pp62N)4Z~9>#B1Vq5GtO7pE#Xl
zh|aee<~G;fwa?#VIq%G<7|<@kS|@VandkSR7cLI06dN8!y^9Bm_Ypp-)2qs~y7SuJ
zzi?orO5Cb&=2bDzNrL|O(GW-W6W{Jw^LbgaQ$87wjJBR!LAyF<>}6Y&TxckbuDtP%
zb%)Exw=xn!U8{05J%uRCJB=wG2Hm@ex`ygICk&VfQ~B?s*Ef`i8y8kzIdRgMM#4%(
zob~Sfx2=@z+#ad%Ih*ITS*Q9}6R#F`pU56|dvtdNPwz5bzT3smr@ZA@6rD6!BNRPm
z=!!M9=!p9HlDAPkEp=K~>*^~~)@az@JZ(__ASgtEYkBNcG*fX_2IHk{F50QSd&@dM
z|J=djHA^uTN@?s5P<X?y6B@9M&@i~Vs@JSh)$k;(Vqb%k{9sf3yKo1dk?er!@J3=w
zlB7jXLZ_XpHQzobr?W(wL|<_&D}Au0GrRPzSf0g)g2n~nTs0aDi$y1WsxF>AwvssC
z;OS|^yX@jwUuGt;-+D}n1;(7kS+{r;-YI!15Z~**bPdfjcgB>@=gKawl_NBdn!lP}
zb%DCGPV4cnDtS}l?PofPw$Me#(r_Irwb`f3nYP6!&{M38WSHz5LW#XaL7s)l=T@B|
zf|RD2MwIVwC4@$CNX}UkdlY)k+1J)AtR>F%m0mE^UuL4=r^XsF9?C-a<?U%2Iem)Q
zvSpNwHh+bm{Dr;!MInLPyjRwa4r->&?WBBipQD~mIQb=pU7Cuw{i<=*;uZgS9}n}D
zCeMWzmp6ZZcqzfN-GK07=BiZER^cax)=l-SDiaJNZtYAReZ_B1l!n>It6u5}%IglV
z=$biNTo6ZB(yFpubXs#4H^o5ASTZGksLpMcP^{rj5uJ#M_9i-mXWVm=eI+T+`sdZf
zZNGz<(HM#R-Fj-hq7sYuj%9oL2>K4a4_5|HD2yGXjmaC_PBE@so~GF#_j^^KL=7hq
zc4C0p@a1BsZys&vkuTqjM^{juZuNe1Gf<X@>3p8oy?Gh&XowdZh9fF996|(K0{)RD
zklhIg^umC>V-&-J{-)kn)zpBTK9_0@84i&HqwpIKFq)V#)i`m57A_`QTJ4i3F@r&M
z*7Y}{c8I3tW>j-(b}MnBVP^pj0r;Zr#W}zCybdrJSUbJzEAqb*CZi%gJZZDE;nG{E
z2bMd%Szc8ezuXKXN2f+dcYDpdoVktRj_ikE=E8v>U1)+Pzr7te#3#7hgLZY2!ZTA-
z0y*aPQE>@kAo2lZL16&ZKdP$>y7}+bez%UJ3)q`2A$~DfpHcF!6^EWL`A+X;?^Ekp
z#~uvA5wdPekQavs5Ki#-C|E&VAB7kas!Fspzy+u<+7}1-bHJykSK?Z##aaP7<A4Tj
zj#=O9r(VxPFowDfz7fE+4^7_S=Rn;yhUya-8j2DpJ3EW}Pjc=Lm%wg6-WFI;a?Db=
z?mt^1HEBw-=97~<mGK;@A*}9nP$tMj>=B+Bc*FJ%W+$CRqzSlH+}|w3Ce%&FpvVWr
zd*1pPMzcZg3+xBD5sF3=Z2I;=N9ao6m~b6hce`3nMeG*cU%9PC7(ypM)XzZa^z8}s
zOM6wxNR%giQ4bze3&)#eB|LdsQ-hL3Kh1<3xtg4ujBkv34z`8_wQy*H1)YOHpWN#P
zS72mbe9gZvaDw4N*Ia9u`1qUHw_LUhD0juQB?!)n^nf3L!L?C#Mn``bI>>k<mF&))
zodI35(Jw=r$R%m1bw>E-&zXR%6vNzFUH03(+>cogF#pYDavDYjX1;l=B#Q0T6?Quu
zc(WtWqLMVt-o5kaQE^ZKj>89w49fwB?c~@P@{ioTFacD@1Y<d@9kU@LdJ-RIn9Mx)
zP5}ie>LlhY7h#l5$S2q)B!mDUUiW#7?QCmOwg>oxdk*0Onh|K80HZM4J2^O<S${65
zR=A<<QQeh9s=vuTLqIg7rdIzp^MD62;amTwM-{5QxTHRq`baq@RGfe#@7}&m=Aq&q
zQgOnzcKWbk?I$7O?2%O#d|1STo?}oWA&Do~0^tdunwm3u_(veQ=-;&|;5;f6Yr|ix
zXF>iWlazo0`1Fe+eD_o4dtINreCdc0-B6)$R-jVc>nuNoY)ia{L=!FnVw84?%gS2<
zMaj~D_g_8p^1}0-WG50M=iZR98&MW31N!(oX230Zqa(u7l}Ds12$R!qZlFD}gMb4S
zB(7S56a^LdD0ndNsi&jkgS#_bcMy5b8#dg>W`L2c$Bzd-cmU5J@B|MatI(3Bm7+Yt
zN~I?G36!E}QbU7-(Q)VH=OY>*5&T~a(>RLdWfu`{2q2QUeA)g<748$tYNY9is(u90
zJwEofAg&lbB2Xjvm6*AOpN60UU}SikcOi>LRP;I4d~M;1h)coxtC|0$Ko*H1ngsGG
zL>Dw8N*Z{B0bAb;D({|hVCkfO8`ZoZ1@I;+!z{~mdOm_c(gt`G_>s^Zq3Fj)N^Ntl
z4=wdRU`W>()*^kl?@vv=_ecaPItZMyr`0VWvj$y)BnCp_VkbhLD{hc02alpG6w#RM
z1K+uESFnQ}f%i&+kMGsz&pYMh$idX;hO{*AnsZ^XAN{)<wPd4?L=j0d4b{)L580w(
z^77H$InWUiu%v}>N8D4dn%Hq*(=p7P!y0a0L0%>lcbMXc>}6}ym4WBxsv~$KR@Y`A
z77L5V0V7mUbwa;<{``6RWz^t60r2288-s)-&^FNz3B*85fE%Eiq`nMMzcpG(#9CU%
zPO}QiSwyu}42wU)O~RIfjh2ic!vCkpD<LIi{wp2PJ>eE#$=l8-_g5Bb@e5wqNvM6G
z!*+y07I7?E{>N2St6(b-!dPHdyqKyA-^^2Et8xI9Vdf>+P~^elMYs}$#g9()erTw`
zZE%9?7_Z|UM9?XOa_ZqM;l82JbK{5_Z!3-GdX(K@?9N#MstO-TemfWkdWsmi5rVpI
z-Ilev0EvJ(3%?cnLxLXIM-43yf$jRl6SaUyMHq=iSrrmK`f46K7LI!h)+Zt`r~mK~
z+sDxcpKp9;_!~Hu5C7^eaBKwNTsFq*jK|4gB%3#PKk}2OHZeC3<@*Lj+m74NT!Ow?
zz|b7W;r3I;#t0q`fQam7n>Av5K(;lXuK|F(2V1z2Q9HtXYLF8KmNeIx`K`4V7)rFv
zFaxhIfhg7#rsIhpYn9qLP19Y_{}Qkx#6NoUxuML$=HC&~PmfL$cL)7*0k+l9$`?5~
zx*3Mr+Lw@C1el~6()+KEk|F8E)nDX<V_^Yr*b4St=zHImmY&61PO6A8Sp!cN%iO&1
z7n&LjCL+^bV420Th?pD^1pN-x|NZcA1``n5Hm5?R6#wnV_dxJnuD*;m_z8}-VzrY1
zKe1hceZkXGdYA^l4umII==#RS<!NSBtl>tph&ZqALkjUOX!LGutbEXOWXOw#h6Z=;
zy<J;XaLnr3(OU=NfG+?t0ysiXfsp`kc1xb74Tb$LA<R_@+6o6Sa7r>_CG1^AON%T#
ztY~z>ts~MGnq`tx1t<uvUQJDnz*8khyaY~=l}1({FbFBD!^mVJJ9>lx0R+Q!p0lwb
zr<8*CPnZ6B<nW>Kk|1-_N2Sd0mH^BFWuJQfT0tYvzhXg_o`WM2RtKU4%o1?Cj;<LP
z9*`PNO$tgKzx!{AzI2ZEV_QHU;OqxcQKS|Ura|PCO<+5o8XpILJdRP|$hKt)japs1
z9efhtP(c9!%wT+$TvaQzbh6k%<qYx*>2h8e7MHqd5tv8Xb<A)-65pde6UM2j!n=AN
z8G6*05v<e;7QrR_IXxfOduaX3Ov!*;KZtKZKV)swh<r%*cRg2}wzd6W&W*9R1sIik
zr?2Db3BfE)%$~mufYWBf%<Gw7NHJ8jwEUrJeh@!w)zY^PhUgEXPh`fGt$kg5A4hgN
z?GaUO%y^bFz?hcGs$rOn842Grjjx1-Ge=hOU7(X~{F8tyyAD<WDV1@!Z9#JhOZ!5D
zPXs8}wY>*8Tg{3^yd?lwjdj!vSg``d%a4&X-j;WXiGobIzZc;b#jyL&k5bMjr(}|W
zxUez!?r!u4jZT3>sIpQ8YTxioJZ1bO=4>D2yW<fz_o5I8DaG)4VP0M&Y?-3#M!kp~
zX9tJRflUy5^m`og<NhMC2n7jzsZ#F>Fkt?KrHXQX`AlKmT|aTPHUW2jvCB*A&lkSy
zb1|M-cy-@RkL-Z{VL5KSz^+}6pW+UJs3m0XovF4)c??M-20LIMcN%KbJ90!=P_PgC
z1n|;x$peTNtGcU`4bLd9?n|LNCL)soe}6%U)pyE3-oe@3idofwy|lEZi}zwfJP!#b
zl7X@>7z2U0tcbv|AZY!#_6T;BR4r)%oYFQ9q8@@Q*7)0+P1pRLZZBQ;N2KlKp-@C7
zzVlB6TY_|V#4C;B?cE77t3cJrbP@YCW<2EI;IOo?fJ@R2(!w31*ph+zqx!)xJDgPb
z<40Xx;H(U6e-rZy3y{Soxj57geR}`%TEXgn<%Odn*e{T@dN3BWWpY-4Ie>tl3lk^d
zV1izv)(TS#!u<V5NLmabpn$;R;*^Yy7n8Hw?VX)bm1N--wC#m27=DmhXhw#=<Rj-X
zGd5NcRmtnurl@IgSOr!L6L{fKSlgp?fMo(L3RFaRUjc)gA%h)Y=yPX+R1qz`QQN9<
z8ltXeWD!L+(z`%@-{ktwpGheTUOkQ!{C0f2FK+^5j9GEyq2LoViP|2dKS^bNc36qK
z!NA~pdD9vt<-<ykKK@BbB(avC#J|Ij@7l|4V5I%o#%85DMZU}vi6RPS`%;SOiLF13
zJ{~_tOKHh_ry3GWbumlIL$gXz<DR7U{FOu%*}S}(4Oy}JldBbz^#xf)`>p5{Q+;?U
zA0Misrl`zpF4|k@PTkp_97*-~2`5qM^SJ8j5Bps0?mVZjCwyxOib~P(sBk{w`-b#R
zk1vLVSzL2%Ym&%lzEFx3jV9CYb{&zERI#P?X|b1U)d|f{Ca;q8#fYR!t@cxw)@C=H
zqym{^_3(JOpy#r)LfUNgOpQLot-8AdkEs@K3)zK~EXs?2c*>YKS6AZAnyEj};iwY&
zrAg_j4;QgMODs0Ua0TIa;e|==CxVE0-0$(&k&}4)!Tq!1MZ;CZg=UTn6UEQ%Nq6q$
zmW!7xBTA0O<zLEOMetsxy}2TddZcmZIo3Ak9!5&r@_9RXw>w<tnm=8AEzd>Wsj&Qo
z-o-!z9paeCTt?^1^<h+7+J<Wc+qEx5_ysjGQLW%9k5OVcqK75rRZmlLo%8puX_ru@
z2&I~+h13&s^d+rsI(j3*?bNY+ovE+b)7c4|<b2WT&tqQ+$7S=h_B|pi6`vkwU~-$v
zpwl#Z^zMp7+w<ltdB^kOqljgdW<+oaTaIBo1FuWep;Pa;sbtV`35Rs<Egxmd)Fv!t
zysXczKgJgm_k?}AL;aCqa{I*Vh)UW(S!&IVR76+ac=)OFH9ymOx*fR)%OAftZSP!V
z9b$P-`9V`=gJ^c%oyU3fir4MWv1(~=rO`ZIZOkQm<uKth2;Y3H7F}$6P7R}P`w%^$
zZ2oGERfVwfypB;vUfGs@7v@Xr@iPje)To+TzQ2e~i{(^2!eG3InfdZW)?#$Ev3-Y4
zVN)=*yLDOs+o`RE60(J<1-ok9cHNEGIVqO)F?n2(I3hi5;lAy${57qgUNe<zN`gDB
z>|eO$J8)AzeVt_d_+q&?M}ghWqvn@K=~I5G-u$^KHER#k)=QUYc{```%^vzN6PGPF
zGJTjIi<-z93{)tHD1PY66sRB*es?lFFt^B-=Kju*VzYz2d#KZP)IAr`-ALkJN6xAD
z(<&yu_RhFRH%p{^=@U=9+IoRXSKfOy(~p&%eJehHUPnxiE&tuU^8UxQC56;QQGT*B
z1bu6?VKK$yQjz|y4JB*?i)UZuy`R}U5}HXxJe<lGz3;NHk@D7fde!%Q?^WG9KQE(j
zNY6M-zv`(WdV0sQ1AZ-MrIvBIe^kWLcm<Il{-U#5NrwpB<MBjlV3}7SZQt?<+L3cq
z-eJ1yKQKBy@;cQSu$B0jy~=yWSi_UIaH>($osd=))f>^Qlq0%NJ=Yyk(V!xDYAjjj
zcdODWQr3`(5DY*5#sHI`>r0yd(a0;cP%ZUbf}l|icfu@LnBE4#(e8Uz*5)~^0D$M)
zSjb@?_3J4Gp}_{THyt^}?2XZKQ&rf3fk`gt(DD7ZjmP@}jeU6uzcF4Leg-?vbMU}E
zPd4h<_ct9#c|SrMLCb~SeqUM1NKa2lK<<vpvhw*)R5>E+HKJh|1zl8mDia$XxHB3k
z$_@>%`m9!J;s5VCfm`gqu_EAhU1MM0jkNT1i=2~};fM2rlTJk?HBE<1-fNr2F5A;{
zmVmfh<3(OBi_%+;JO8fo!nVtZqo9wD8Cs8ONYl$po<cg<j!-Fcn4aLx<~2((8{ga`
zd2sk&sH<-68yN&GjH9CdfyteDd2l65sq#916zEST2eCNxs-a?n$`5&Rpk4QR&Ia?t
zQqq!RcLumL5E*cJnEq;qmgPy9FLN?<M?Z##J6JC9UwgSFK>6igNS{21)zvXF^E|Ks
za!_PSO6U<`);plX_A4m?fyXbPrG`G^@|`;{kGzF*guQpZZ7%RGxNU&t_qxfX8<C%2
zzINXm=qN63%R~<Z+73DXS|?6`?PNsS5`KJ_-Fe%e1Ux)AK&oE7+J{O2hCuX!Wo6$W
z{FArqTBZt{N{t;UEW--zRq^}YtQ*G9;70uyPZ&k8#d*~6s7^$iO6A8Pe1ifmFd3o3
zB%KJiAi8Jjk%@_5FAfEW&V+?6z{B8ry=*_A4<hZk<$gRc|2DP#K(fSBRBEud@QI13
zvmp8yB29dN8?kb5SV5SiHwjW0Gk{bs7=f7r<B2v8GZ^`ywM5rw|EsoiE)WDAdi%3y
zd!X?kQ;sC`K<4AS6Xb+FX6X))?4S?vOms(}IDv(Q6jH&eB?YNkS;bdc%U}57piGQK
zSyfF@F?)lh!LI?)Zj@_JOMyHI{GX-}npH6TkQ;_<K|grXkbCKlyaKL+POciA3z{h0
zc6>1V=6vNz6x3d%g9w__jEoecLUP(NfmUDvqffzDxPzTRTz359$K+HR6olwKVKl-I
z5y4O^+g><EOlw9H7x(g|Mxp}5gjoF5jT<(QW22x&6c-Z8!Rmoj6%TovVGbA>bd4fM
zQsd)yA*m299@v!-;?vjHmynRK_^Wu49NG&8+Rx9g&0XomkSYoXx{H4~DJeq^usf`G
zBzNs%cj|MU_<jrttr$}asS;pI48_PmvAA|^(Abzg8YHM>_x?J+>zNZC?Hs};OHIi^
z$YfwPG`S=!vUBG+ylzm*!FhiA9sJl40Rf|*4)ah!*j(jrKhn9c?At@Ze{EA6RtNH%
z06z-4HY~ImMOZ(hqM^f#ZI%7|ua;T2<!r~q4FJ6`;`%9X0l+anGGg)!KqxvG{JwcS
zT@uRS8(nX*(1$L%;_k-r*OQxm>e#5(v}vq;l^qL95TXDuf)^G@bVKRNKvB?s!ovf|
z;wSz+8d*q$&pbnMiqB&Q3DnGvj)0t;ot!?rf8Pey4G@IcRPFP*KwyoaYZ0FU9?pzA
z@=jS78Uq5O=m7$RG;0d2Lw)xRKNAJFs5#IbcpmY=`-15k0RMda4!y8+#&&={11`m!
z9GQ1baet;*WDcMeUq769d#SsxfTVniTCTo$@wfYtfd{7@>gwz2kh*+CfB5dRXCedi
zmF1y2ykcU$m#WcSCiyVR9o^I;iNyAG8#glWVo+DDTi6E7&<qP>BeAi6yxLoZKfGFX
zo_PAuDEXton>)^fenx8VN99FV0u5;3%l3^>bxlp|5fFF+<n}hLKVP;JnivA;IPQ#*
zXlq~Gzn*P*LR{Pq)ZV?eh>S+^>(;gXot-7DJ@UKHSwVi8D06OVnybz`+P|>|S{G=A
z2sO-7wWW44$UzCMHjf4vh!v?u$ABU1rASf(7=sjW0`<G){i6=UswkB~4g-TB^L_7i
z0OTR|?8yfJDB0%IEi>hNbp_-G1nxgM9;&iEQg=_oZ5S1|NJxyJMOIHe_4$)d^dHiZ
zD+*#9#J4$Q|7gqIS@G^eHBxZjv0^20*uHKcGY#Hm0Yk>RCP*9y5SMhe7BE_sT27nk
z=~L{HG=a!B0N#I0f&l?f$KJf{Z4X17HC7D}c1&~@=+D4bwPEdA8ea7MUl$lD=q}oB
ze#QMi%LM1A&#%_!E$FdoIy$@|!N8jYFg5}EJnkJbhC#%mRfs<E=E;ArM^tEN1C#aR
z9EbcXnYC}kr5&e7PD}k_k@NBns`t^>pGrs;sk2kg3vLzKvar4#vLHBtQ<9P}|E!kO
zv;$hhjWbQx6=n5?)gW;|cUw2@kgBy%K7g;Z^foFq5O{)0;F_^m?WHZOEoF~DV063d
zfmF5=u8#~GYi{JR&dCR!g2BhGXuYtjSst?C*w-ifhs(8)v(6Dl+lRlIeMyg=FJp^X
zD~`T${o-2ed`&yC7hP;937vX<;eM4Q>~R=84?z;x0bgdln%Npmt%1Gy?Ux?3GWOkg
z`ps9m!s?A<op9JAd%qbyEfndaXvm-moQ3?s1w*><U?C#(hVmxNLoPb{?{V#a5(!j@
zY+GT17fh`FVesnOD_i9HIEub)YlNDw`N~;MHw)~*Hczimb;{iH)yf76gwqcf3pesE
zc@HiMy5K6$a<A@k<}6;h<?j2%Pwc_b4xz6#lrh*qjXfvVQ*c{gZWeBe7yj3~De1oh
zfPh7+xX{Poddhdhb|v1`1R(wMDr8nj*2lD%d6YCqqhvm1lwk^eC@c*K(uTySx!W0W
zPUYpTG`y^LzI}N9A^I8Aqd2KVnoixRg9&^0mMz!R?VJ%jaHQZLHW940<-gy{FraY3
z+FI>%aq(BnvP!YJ&kgH;$Y4b_&-Gw^`c?-3PuR9`t{Q<FV#sw=Nmz6H0Gdox7`Dw_
zND+LIUjd}3>GL37&KDOr*-79pyl4pBbW?%rP67kE-&y~(m&|qocVW-bgF5l~&SJ-!
z%~?@6b&;SIyJE+G*Rmguhyg!xgj1RKMTALy#NmX2-DRff(9dA_4g~J#j1iRwHMh0(
zAe3rQTOlR0goWISQ5BNY8>B9@N5S?1u>Su2??Xdgm=cd?o$WFzKR>b`ai&oSvY=VL
zVM8KsIz&RasW+K9Sb2DiF%2Omh8!pCw_$r+L4o0k6FWsk)kcdV4Dzx3uwUR5z)1s#
zVj=)Q{6j#<koK|MJ^)Y|6O{sUjElVxzGI2{7Ya1efMRJGJ*OD`kB{O@=G(C&P)u{t
zRmtcaHg|N|_%i6d0Zs;k6asGFbVZRD&m4ALat0KtM#x(PkG#0}Rms6&9KSwPtR2B=
z*ldswPne*BLG8lG5*Z#&5&@8n>?riY{)&{3Mu>gN=G-o~0Bm{=<PQMA4jdRsC=CPD
zj4K!w&VP)BfD^DDJ{fPZELF>!!tN}+1v;dz2|O49t_%g%mxeNotA!8{fn(t~D%HR@
zl$RfZ)0=lSq8Wf0JK{BhIXcYogcDr)*hNRi$9Hbu4#_%F>H!G*`TCmClx55GAL(AF
z;B~G^dJVoh7zJDsiWWek1;7i}8uwV7{27Xu8^05;GH{e^TqIs%@P(uw2lc^c1Vk6*
z_sHNxv_(0G7D7En%kSTHzjVj{wm)Z#ls^(2UuV7HPdQjSk*r(MQf?nKkz}KM@ZjTv
zy@~={`^6;p8~tzax&+TZczwq77rzDAOaj7oSS`TV^%p`{y=zL|`@~f1M9W4F4rH6)
zqu^|O7XVUQ1^UXh|4oJYc~w`m9X<*QR9l5TQ9pjJ`Hzde_Hq@94seRg$o?g3n<__a
zk;q>`3+h>`O#z8{d9wWcW`NuX*vK&4{A0s)OPZ)F+4p-|bF!}ANxOKv?R(413&h16
z^93GVhm{B*BRmD;1VyI!8f}Q-Ak{6AXVbns^0b7y*ZBkV!Bn?~d&hToc$8c)vsp%%
z&A)VS^XIOm?X>2i`o9?a?m#U2_V3dU4P{1>GO|lD3n`T?m1HN0i0qM&Qb{R0D;kun
zP$avO5s{M2ga{c?cD$dnxS!{@-|MgEep0UMyuRZ&KI{1Kn&;~Us8-HQh<j6r^J6a6
zS|0By7NV)y@AET5zUGkywt?!GYp6QE*WBOsMPp;tMgF(mhcXFQ&#TS)tEPok<eRz?
zr|Qi5E_lT(h+N{!N)|5BFZFeN864Q~P0@SQCeY<}SGGFQ*80)=fI-$^?uqi=xPl*n
z8dr%8<BmnA2b%&0?ahw7w;;O4oD?@V3zu*ZC-1+huzf_?nKoUu#<s34JcDJnFnrxS
zO~CEOIT~e2g@?hNV&(k{Sv`+k&a~XmqcE;x$~OO0DMHN8=5a9&oMIrR<UXG$OFD3h
zxHR$9ylj)N6;)-WXy=7vb3YcWa|Hav7Sg^<9yqwt{M;HPTC28@R>WHkzVIi3malTz
zd$~#lLpVh}x~)uK3Qu{AT`)3TP~a(DpqV&ge8MfAqBAXxqO|m?nd68sVcm4@%JxR$
z)wJtbmd#Y1E<XoIsEIvl>}dZWh4SfkDUN{_SEH1sR(H>>#OCdi?zUR2#KW<Ouh%G9
z8aI9wQH%~$Bpk&TLdvd;7?k&83}E)g{&c=Pn)z2&>?=!cY>9_E9V2K`vjYez{rTiX
zf;g3#N#i$Xp&0i3VASD+lD&lXZYn<m1NR@<@dIOl<u5AyKAgT|cqlXO1mfFH{=WZ=
z&%$w|(Wrr;Ft@MEkgTfF;fisM?TvmvD<04gtaSqeM}6IxwM>ZZ>wM!5t53Z-zhLlY
z`W}TC6%qGwPdWcdcJsLpQfxifR#14P<yn?(TJX`6c-m8Q;60^Z=<|E`Gic1`Gu=d4
z6or^WsTf~1YEq46P%Q*?Cd8^!*xjmIaC#@MPC@L}=&$yo9xpMrJN=WwW#CnUVAMe#
z<&MUdoXcDNe%+QiI(p9<mZRR$lE+h<QeJ#!qI}^>q}{4rptnf#WLG}J=lgl8&W^&5
zzRdf}S-EJ+XEE~zGg~}Pas%>oef%W9uu=DIOLOpU}J5QPq81+h>6<CtxN;?1{v
z=F(WEJ`cr=Kg>J$WBQ=om*^lKzxJxR2*nEN^?nt!K5N?J%_iu~AH80carVnGCF1wt
z<5R}h3MiGeAGy43T|d@WQ$vwYJnK2`P0``SsGLQs#1vyM=lk~Yo7!&1c?Yif9FIv+
zMz6U}qO>D}nbFYj8^tn?GT$~f;gk3CPH1XP9SC@Yk!0Tn#!9N8pgQ2LzTbbLwcB$3
z+v$RV<(-;iJK1W^=`K$(qx()hJI$~VWb^zbWMKPRvlEpQuL-ohq_=sX{wOog?o!=v
zu907_PRzFn%(Av>IfVT#UXDT+p10hzjEviHac!i0T}&@FQT(6ev=$0P4?r-1PEIE0
z*UEq4I6d3l(YWP`zpy>Oba*O(G~;iw#Q7fHJO{_$LWR=&F{lioXLcm3-nJsCcR0$A
zq#0l~FnDAtI4{r#q17Ts@Md{-Lws8@)y0TrOFA?A{P|t@1ppuTejn#@Ml}UBYaMJU
zKq<gXL1cpov?tWH0WC8wLd%{xh(;blP_1=JTQHB(a9<zh+8$KXJa+60h-fsZ<P;CQ
z$MTmicgz1q+8P<O)PD=v!=TDdky`_!2bseF?%?b2H?xJACU6XVWjI5jM0bVF6=(ul
zlT#@JH$U>OO}N6;Ai4-;+4#cbgESvjKJXK$ZSp<G1^oQ{yt@5xJ5nNusuNc#l0Od}
zGM!uX0uLNsu7(CZSJz)Uiqo%<I#*NkoeaBzC+^R%Cis<*@rF4!5td<)GZG+)V`UvJ
z@H}wUqZV;T`H2sbbpO63YGLF(k%4J7!H`0h8jb*+!X$$L1S^9d(N8l7iHn<SJYoh0
zA2mbq88N_PMTv{8)9l~DN9h~N$WdB`BOqDG@ED;$Jl(45YD)5k!S5@v-0A}{0Nye|
zN~Is@^i@0s5CPi}kh4~l8R{Au2nL1hUA*~KZS85~A|W~H=G&7fDZoGCs)kGhw=EuX
zxTz5wSx#ph9WnajBFf3uH|RQMCPy$81k|*YO#>g2zoODs@}_I9Yu|gXOu{y{Jv0jX
z(!Udzq+nm2hHZv|RCL3T*^pXYJryVnH3X;qCu4XADG<^sf1;Wt`Y@U{RMy0&$z^L$
zQ%BhpZ39q*1xN=;Y-rRGhua^(NFvXc`0O()W?QrkQ$e8hBw#?E0ID$72xg>d-9P*u
zV)=mSAZr3M8Af2PAfW+h)g!uP!8oz~oS2Bb=7g@=k$}#iQx?-O=t-6kAOu`P=$fJH
z!W!8oDakpkp{2FL4{b?k=y$USJC7X%zCbNeXmjTZCnfKFMr<>aUvzXcdhrv|DEqG=
z&)E;VsVML)ZzffiLDC7|mgg!LpR8Hplh$D$;VFYa?tTV`X)|O5+3KLzpm{(-G!4>(
zz7HVMO#Ngw2t|-v$a_;jRta#xzi<>PBM^d7&F$C{REf}-h>L4mHR1<ReiGN#?|dE@
z0I0{D5zD9H2ZU9WTTuL6iiKxn6~`9k&`X%(CH>EP!KXLZYDUz|$4w>{NU4K98muCc
z8GPrq-U|kF!AB<H;!!{@29dF`fdLt|g+dJ@QNp95W~Zjmj_#AMgE}XB-weJ&(v5@B
zA~;0ezBNTd4jy-zIT}So@!6<Xscw9SH%cH$P+iA%5*{6#5JZF7-u=ga00@FI&b~Sr
z3;y>%SiujN=^z9m&=HzLvy51E_z#`XY6D>z=<i2aR(ES_H{KEu+`o`XLm<{UMxtQ<
zl1LAZ5>%7W*SP~_!6AWg_F7cgd6-Z9>bL!;$LFtSOrl{_s{rhkLj!m-pG&=qjEWLg
z$656cU+fP>5dJAjAjr+AwO>Xx#M;9FCmH_<T4&5J*+hm9efNBJ5hJnS(N&uNu_{^<
z+YBL#_}#JD6@Zr~8vl_V51`z&+lBcl!?~eRbIl%8_e~xKIK7#F;u^5bhJWdpn!KoT
z2Mq3s6J!7{zI=eXX0jr|-AEGSe2qs>kV9q9eDQag19gkODJ(R!c&aN1U?h0hNyr9(
zAmOnZ<k~gE<-*_HAw$kP2fO%JodW9t3ibwDv|IPhC5(j-qrzcby7!ONdLkVzHwdWf
zs;Vd+BXd*waT_Dz;%_S4@d66btm5XD%jbl41s2y7DAv&(Va}2Xn+*a7y1FFc*~j+-
zbG<kE1n`bFcJBXKy*PEZ0Km8rER#{O7x+v=L$NG{mmpG7=ro5hQv`JIzsu-&3N7ug
zZ@<9*1Ij47U7~DoLsD{J9{l}Z;uvdvD`e9?%1_T-Q+tG-U;A&RiLWaw_lG{q(){$|
z%})i$Lfw`a@F4?ql`@~bsY=VsNpq@1!kwOY=e40SHT-pb7@Y?pJnwejg5_*xy1Jv-
z;FoNH`r+chL6Vf5OhU>STTog1>cfZd+Ml<P(k?^6#qk*z#*rg=KTd@-X{0Z1e{OZ8
zS5`RM`3E-bb8;GEH}n3|+iL~DnhCLQ%W<5N`9{Mk>6*j5r{cT!F6vSygmG4F*q|)R
zhA~9Lt$CP1HS~47(08G@XKld~GHZ^eN^>l<c<}m8^CP1(UI6AW`qs<qx$=fjK(QYl
zxW~d0Sj2J$<0CGmBEatGoJO&%@-myF@EWYEP}8BGmL&80up@ErVcrpdX&il!G~ssr
z0Z9qjlmWa8`krL6bORLt)1JVj09MGJgoFSPx4wRzteVXlRE{Rcj)Mm{7U+`wxASll
zML(?pPW9EQ{8GVt$i!en43-cU9vdA+qWM96{ot!t#~?s8=8Npa@<Ed?nF;~Rr-xHc
zbRC;6x-1`b$^5*e1+cqz1Ckaou-v%U(MXd(6}+khcBN*#{4ebP(<ZO=RhIOX{a|07
zd;Jpj!x$gwxbmSBh+0*#%6NuHX4g@;)-NwlX0U!G==X%3lfjVEPBl3rNHxgC-Tlac
zX|q**s93Om5kLvG(dyM-P?@xiX~s%x>FBH~MQX(TzNAzn%;(yzB>=@F_aJ-w0m=?-
zm~)`l0nrZs=d=8Lfc&RP*VO!sNQL9y8}-k-%nbTtXLzCnAs8SRVjVX(Zb_lMv-wh(
zP1Udegc4r|K&f>o5CDkalmHolN5dvzY77ffO3GR`Hi3AL@~f<nHN)n?4eSN)3d!fz
zcBIs;8yDmd-1Jo7tq=+(u4ZOr1bewBMleH;cpmjgl+hTBVf%{(h<aR-hg0>>At4Md
zIj}Kg)*fmR@&faocA8*)4JpCb;5Z#qqo)=z`SDUOaSnZbJv%dlk`2jV(%6y`5<1B_
zI+vH!trLPI>;a!?ZDZrF{C+?qd@u7wfD7azdJ>H~@<#W{o9^Cy9A71H?1<oX7)cG~
zpb|z>LobDQgPG>)Ug?pM`lv>Kej3BM4ttix8|bm{a(ct`S9{oh3-hu_yu&DO7zaJH
z(V-rHcrDykv3lE8DjAuB%27vN0T!Y20wX@amEcl<LZ-<2-A1IAs#Rk&VpaPl*!aAb
zT_d5od?(d4EP;E-)rJ4WWq{)w8=wQvlbmTmOUpp*FTj=t#s^psfk*h^F@?mMKq%gF
zAT`Efgj^Zy8me@h3z{)fRkgM0$GV~<>QWcCG?U&9pkP2+NbU<TNKaoM7Z(?)SOgA*
zU`mHu9w^2ZrYe+3R0|{0qNAt3H*doo156R4AE4B%tFC^Or2Y$M^NqFJ1c3j_$sOIy
z!inK%&!1x&TjCe9FBfmJO)m0a736Lvq1_}6U_pV`uR}z=Aqc5>**Q5Fz=;=XuFzu=
z6d2p35lJdjj=i{u+(fl&x|=okldn&hM~hIHpHY+yz)Bv|pb>~Z3}71K_wWu?+)emF
z+;gi|WrBkoj{2bY)w6L)pfV5Qu<+9*eD~K^a7xscmnZd8DYy@QB<GB1sihztExbtP
zH3m1%{7~S%--xU(EDkFyVc<GIi%`J;IF`pfh4#dE@S_;0B=XctS%(oWV2D<;usnf^
z7UM~QfnUl;T?HI<<F;+@;bel$7jjgbpZJuxnt@#x;-<uH3in)SgYzXj=D<C0BogMB
zFu1L&NO$u(BtK|t2WMxGK~$5hlQ7)bscU3(7DYaEO=|L6pW1mEQv8GJq+hkNcW_^%
ze~tq_#aD#*H!y$rl?b}XI`id)Krh?6budfWSX#PZb}8KXY&OXKhvaM51zOyP@rviX
zum|e6<DAgS04^mkm3>?EVYD}>N59C5%geV^RP0;hU|}JNfIB447|;ATs}b>l^~vue
z%a$OdmQAGjDGlZ)17;aA*kV;F*@dN_2*etEe3TagxO=h*P**|mM!-oMtKgpTQ}~W<
z<)vxFK`%L<B87DZJ<gTPa2BP?_@%$OoRb*gxRJOaF{OB<jAxo+zpzK8|E6*_f;RTY
z@w>`EHNvOL#L7{;sZ(`W?Mlj;yT#C@aD?L8JZvlL>2+yt-fX{2^HNcVmWgXZk+DO>
zk=i`!&E(T(#}^z3w<PbI$1hZTxH?4{-b3|ptD^<)*Ai{YPI>p<CWa}0M}0TK{7_BB
zk?@ai_8g`nWNIQ;=_^tZ$9;M@G6vTAHRMe_ZP5v%xF%Pp!|TlVO~}vix43r%V-As+
zY~RAV!bCBwxSUXw>#6h~-1mU;q35g#+aaNR#tn1oW^8ev7iftcXRA-XkiW?>Dv^7b
zv!7B|CcoA{VBj|e$BvzE1v6MFm>7A+FIQOYAmZb8dvEP{bXFnb$vWaeYOP8|wKv5z
zz3X4xr^FZDZCO7kMzPL>vAi&<J!0j0li82X(hnsDno0(Sq#}xDoOa7gjzxLJ8f*EA
z%81<PeDu6rm`K<&b{q`lQ3m3fSiCH+kcN+d#?dZ4niCzqqnG@jt_b|xYsPKNmM+BY
zEBDm)<*TrweUAga-LfTITs{~)zJEXasKN=iOedPr`7x<{Td^8fiXO#I38wOd?S1v}
zW(^-`N{@~<J?-&-q$f$4Xy_bx<788lLaz7YLXOe^2A_>x^G}tiIGm5){V5)-m??iR
zPoes{QubX=;$$_C&W)t6g!hhpIi2$+GQ=zImnCZ^P8JIh5AvpBolid1AfBCn<b673
zqVVqU4x9Bi>IUr<=iCcI9Xy&-M5cENZo9&0B$CE>s?jV}oZDlVreI-EoY?Ezv7f#q
zb#i#E!ee5GK7#odyf!n=c)u0rnZGW3qw)K7*{ZXSLd3jIXw{K*1pd+Cms_ZzS4o(1
z8ldXmY1PM~J|AK2@wDSvG+k+T@-dS=yu^)#!|FvoV<(B+*X`j274&7lLZ#i#+T2|T
zN;~52=ej-3y<*hh&LQ9QYtKan@7KtEys@B^-0|+yDlQ0Jy6CnrPK~MjPM@bH_ABZ~
zKG^+Rs_B#OyRDK677J?60Z|lsoy!?i4D#}{vSiyYv0t&QJ=Kef7-$b!ujDDfE$U$?
z&K)kdc0R8nBJ@oUC+E!>*V54v>${~s3hYvC*p;Tt|JhvR@CsMMA9E4&HaUpMk#6k=
z@oS}4=fD6bGqW>n?)kRSXgNWuBHj^=Eh?{lRyXr8`&#;I4=6gL2RqVx|IJV2$&ENH
zbO5+I3$v)<?$D}HZ}{La^~}f+-TU!W6s{;!d3JgsdzFia=kt~X@Y%WbP}9&F<#~G=
zGXLu!d&DNS%3EO@U=Z}$C^Sgq001{koyZRWUQYmU0pX($nf<FY2FB@O4cz(+p=u@f
z#D@^ffsz5zTcqOmqKHcpd=$P}ym$5^Qhy5v#-3z1-DUc7PTj9XXc!67pEhAosk9XY
zZ7U!^tBmMoT%9LAs&kfV-A}JA*%EvEw)j!|yZ^20C+o*31)if+oM{HloA)!;ObUNG
z6*n>rY+Z%pI%qKK4Pr==Qi=>KDZjf~MLryof*hLsmygYgyq+G-SMz!#Gnqc-?@tMg
z3{o59Orgidy}CWJp`+ur7-@KFjCi1>OZ7K>tS}t8{=war0>=a{x^SQlvAc6jX_~ZQ
z%R1iuB9P`@w4d+Pvs0uWrzW5D<3vHpTlw-OlD)M+#0d*mzkh#lmjw{A+#rztJ7oIU
zMRbf7#ml7b=^sM2OwDv9NRx<Q_CIXfvF@Tb7^Y5nljO{V6pn;|xk73K0TNMl-@Z5P
z$03a&TQDS%$s_U#Tx4+f#*G_qEAX5}sYFRhNqle1AIGifa7%e6Hh_Jz4%cE!P5Nl}
zuK2&$Gnuyg{|&jtSKA9217?B+m0S4wE+F(3_dE2;z-PXH|Bk3*#2FbKJ&F>;k3Zud
z%Znd=4xm&*)V|)sb105cY2fce`ik<+1mP=>ACH1cgyjcl4(fuiVXgYKu_t0P*${G(
zYBZJo_oylVi(94Y(O<U;9Ua{pJ4s9!!kr4|wmA4ODXDN(Kti!a;r8a{sG&MBR}3W@
z=@zK0yrgjW;KAdJ|5j68cXh#&=f+OrgQ4UWe!jmSzOG`RkFc`{KQzy&exJK2v8d!y
z=UYQ=H}JB6*C2($KiS;uiJ}c+?S?Ak7?nE4g@rNu!KUu>^W8oaxQF33|M(GYMxU%b
z2I~;mn{q+`drlt|QK=N!a_YlFpq)q*ioSIVZWa_X*i{v;Ujv)iW$zW-jlv%k8RTgY
z^E7Tb9}rLu{TVpWEwFK*b_6DHUfKNADa?MYN4GQotI4dvjJfa@Shf4f$@Va~V8Rb<
zZs06GeY(~D72lO*a)52X*pp?8-S(IO;#07oEes7~_{cHBn^}^Rk^(MY#$*DSxSvzV
za{vt*x%?#X%fH$qK^Da2GXg|F<-s2abCcOQ{{3eUizIt?nwbH0#cM_P*<S<vldM0;
zF-(bxm&kN>z}288U5_ht$zmWFUK);`nCk~||G2ssInEpQ2FS=8!(VBMuHuy2bDcXc
zQgyMVlL`JmDzvI0#h9ol85lC4I>K)ROik=pQ(Fu58T>>T_6L0$NH~mLFf0<r%tP8G
z3&E`0?-?LQuKB4L;vgpD1CbT%cd(!B+lK>oe;3?tu##W^V}gwL+&m^@)6rc9OSzVl
zGn-?84<fhpYl~9Bp;i#ou@R>K!B+0C71)NT<XiWD0sFrH>)i&oKL?^iBzd+wjN@#N
zEsnrv2hVGIIJ%N+@A9vaziq0uAxo4C0RL_3T2Ak&wuA_Mh6Rh?eh-komp`MUqwVgH
zvwuG`a-|fXP}f|>+Y_M6{&!HhjE1A*R-^iN?`&rDodo?i-rqTc@dKZfuSt><pJoDh
z?;l+((#NdcH8!4LL?4H8`?L{<ieUoeN;i3Tw>)P-R_-EFSa_5S@P2_6h9v)YxdFTm
z$pbO$aUWxE%B)+AARn`Ggrl>@WJyl8gT4*+`2{h!B!6v@GBu;UN{A=givu6(u
zsQ0a{tyl#Du=MHa+c!KWGoSutfOr}yD#Dxj8b}r(UaS*P|Jd3sk2s>}&YaHvT%5R`
zX^3@+OX$YhdEL@tD9VP`RNU~%H=ti=Zpg=@rbf@mh`!tiQm^;UxEgr;K=i`61{e+h
z15s^W8_?cjjYFsBgXqNP?jsqQnM%-|D9umZOJ`KwAGUZQ^jtsw_k`%_Aytw%A<zwT
zad5Z*IL3Jie7gWPlpH56PzadXMO?ge33FbstD$v)nW``*J1jWS@K9^EQf*6t<wjZp
z2^w$=twRG37`5EOOI*v;eet{YWOhYefO+QF!hm3<w{OS%aX`;FIY?`qy1L#0o7X{+
ze+&tj0{x+?D$pu+Q>GZcNX)gsWrQvcQI(h)hR=>;8#p-CC&Z{!M~JjOzjkp4-BNP=
zl8fN#dszhq5f2h$m;7TOvl4o1`Nwp2S}$&|j*bKADmap<A9wAhwB_m3+&nxI-0#6z
zKp0m7vL_=WgB+=h9gL3x5WD5k#fv-G|FIDi=HrThQi1~R>UD5RrU&i5vhgSN-+Pv+
z;Ze-&$C*^=V=t(45y{q(%g?(ft0|9S!B^ulmF{8T<7F3Te^bnzmG(`^vGu7pN*49d
znOa_I#<|cbqfh6TCYU68NZ=8L-|Sp<#$kE8U8)62ems#W*`4i9EBziHs`NLCT17Yd
z&^X_oJ&DK&9~)0|IhamyCaorlruNXFmLjjWKE3idg|Ek9O)p9&Hhpk$u_IIF{0)@4
ze2*;3_SFd!%fhFt_&Ox@=^pphP_gZB+sIsM>A>Z4V}`RKFz5C&iqUlyJPC{^_7WDs
zmRX6%1lftm*K-Os`@*uDRfeft3ASGEviY>z)XFkurT&d~Zxd<Dr*CvdalLJDW!Wr3
zQSV_q!lM4B=Vb8O{<Kw{2foO%i3(@ZCZ<&L)MQJoCeCN`FwUP#zbWQX&_a1d?hU)n
zkq1nr{r=}gzrFj+;CDy5Bq)>ZaCbz1Yek%xvGzHl^yA(H8ZyG6Cc2vE>dObi1k<wc
z`%UVfT3so1^<MCpva%M>g#Kh${_SKHTSxXFb;^zJ>9=1K!+m3$G7lXIB3!bzo0oNU
zsS{P~BlqM~Rt;p+9Aw^3m}pHiT0YE?!$ap6_4sYIp4h21|MTWL>SDgThQxzGx7w>8
z)Q-f{+&iA3=1~6Dl=xiULvVaQRqG#_EKgLYPC4E<ntgV<E=G^>Mkarz@zwkD5fitD
z?uRU2PN6x`t5hao@myu#;ARPjhN_7lqU^*Ay?JJ&g_h6+#8ci^oSdfcBG$7;=5!tj
zqNS4ch){alxY3QL-m+{+MwF2Kc<$AA+1Uwub;p>~*Dg~TT~To2auwX-H#Wve<gc2_
z2{u_NdGf3v)%-RwvXFN;_BO#Jw3c;zdPizM&4huF$NAGoix?QDoM`7OC50kQ--yp$
z`V_y*>a_EqthWI>L9ga*14>$2e?PG{nr20lcI;1SqboDNGLyd_P#Hcc*nH$unl{0<
z5MJm1T>cc1k(|SLIWsvUBj#tz_qYe5)~D{)vR%~>rjY%_mEHM^%afRwkPM({rtmg)
zx49K_YWILg_S4WeL$7Oh?B_O({L~OvvMWnL&tc#EH+n{qPn503PF$9GQA%|kCw4_&
zkm&yX)h1Mmcx1b$p|yJ5PB&i<<H@K?0W@aXk)}@Dv$knDwb`FsMzOr#q1^vF^SbQ~
z!Ag$|A2qlh3#8{wzjsh@-pW8vuYufbTmPYoJ?{Y^ydk#VaO`5??IoqwGS7R!dSk^P
ziFtBbZP|gPE024RjZF&1-J<-ixQ?+pS(YeFas4Ab<{hLvA3nI8Ib-nHybOfVSAn<x
zyZydNFShWE2|=QPMUx#M8+38RK6&zUd>nD6dN+%YHUcbB5COR1-$o6L#EPDF1t(6E
zpB6OEZf?D|PlDKRVidT8Dh1J0Jv~2>aU~!qD5L-TkE`F3*3fLphH(9KV^@pi`YGJO
z`3Q;nK}MGmkoyAk&9&UwDwr>**6MZs;Lq)8szDy-KA-<H9)`Cz8{@u!s|#y8L(mST
z4=c-@!^Hq#Pk2F`2%ZW7lyB}U!6)$2vlo;hUP!h<*a8W{q@+xT#ugfw5OafO3x;|2
z@qD*pV`oX2y){n)bEQBht#~h!H^XqHybGmq7X1X$yxbt(gjbGT{F5`>5<BvCz<vh!
z5V}@F__u-jTI(yVg<=mC9-21DyN57XBQ#V`Tl*~->dBGMbyh~kB|b%%^<l)Gb72{B
zy>hIsqlo-HTg!DjCH~aY8NI*F&izfYu(=~b8G%@&Lu_Z566H4(z_=yBW4XGxkkk@x
zJVYj$7JGXFeTIn+1B9UV<&d_!RilsU8<7HBvZD*l1tZUrZ_HD4CMdsPYgTx;d{UW)
zChpMYF5<u|J>8oL9}OM#RYh1QRn84Ovf#E}d-wp;RlmD_SCG^()=9l5nMt}@y>jG6
zkf+5O6^@mo<M4|%O%9)R|6IU98D-Q9PX$_JkQJzaF#iH`2?DQN!78J0pK;um{p6__
zaR!3%2DSB|h>(1S97)Kyp^Jct7KzR+1?~=DTZ3iHHcQ6>3BC(_o{_-x287ks%tq`n
z5@BOv0`e#Fa~Ga60BK4BF1kDPC|pihS<w=rY^3E8!ffc@jzFe|)&@8tnM3OsGd=`x
zuN=@ZO*h^iGW&W424<#HFY3mc)2%04nTKyMXTlKaulS279mwE0y$9~-dVo!%G6x^N
zR>4g)kc@Lhgcn$4yz?j|zK(v`O&_?Bp6vpe;OJ<l$Vo7&=yacCWvOXv!^PK(yf;Lw
zDTF3*pT-1La<~)$rJiYt4}u)8J~;tM71G7(%1Q%JvS_(I=?=BN^S)ys8i}m}mWRR|
z6%0xDM@A0sFNf8bdi@Jep-RgsaBI0zp3hK6wHX1VbUt$i-}i>hl7xf=bGnY!*0Wd#
z>A6`(3@cV>0W8+m_JQscuIY2<kcip<kw3Zvj83ip-D`NyzTar>9bC8<nFg$2V2KV1
z!O|A9SeEttdCax1Z*OhA(0Yy^<>{BfK}G`qhWFq_&w}JaD1Y%>)G`3aE8I#-KTUy#
zQaQV~4X24qXueK!zOx{K_kCN*_cqt(;$B7z$!NG{?@z*NgT=X}cp~?y#YS>C-f~(h
zg1Urhby<6Rd`(_mWo4&P<SIgnQwuX<8~K+faE6r+w=KN#eE9U~FIY;ty1U_n0eg!s
z3nvhyg~&mEJQ@6);d|+y`F^e>yVII={4%osAWB!|J3H1xA5>212YH9~Xa;8Y=97x`
zTXkQ>r=dsgPZPDsr6JI!6Us;+#A)T7hnk3lhB`5Oy{%H)#^?C)dpSAd;2)?6C?3JY
z-+O1xopx&(h;?EEKYwF#`7}|=9VQ_r_O+lfIlkzV-2^=3l>(k<H|-B{>&m>eB6HpG
zMn%QMP+Zzb#o!Er!Q{pb9n`@N)tJM<5ReUDJh6H6=Faw0Ar9Gi%WzlSLhK;wU&tR(
z5u>$(0Qca*uq!cS1Z`vEVI-TNJ=A^xcCpy&*Q57FWxwD6M!%1T^9IaOWo3Q83m_th
zrcnqNr4J3U$Oimf@{GrGn#t^4Sa?9v!cTJrK{63NDtLRN8K}PVfo-3^bz>zQO9bb2
zX+)W5S8en$>U_yjj0(O}4B3@<y6A|<g2&wpr_u1D#@zUF3R^=7nw0v$Z>Q4@G;l^$
zCI3db%4~RYb!DU-p<FCsod7p8kRHez=;;ITRGlHR91>@6rGhL1>~7a}=oB>37GON{
z<m8QO*Q8`*1b?900RIMn0PhlevM}fb^ga1axY!`K(b3T8evS9f|0jh3o)ck7Nj(T-
zA9G^P416y3$B%EK@9pa&<1QiY$OrQRa#A6S^%Xutl<3hHzt3;fsi~_2m5as_1I)9g
zhK59CDQ}Qi$A<tU2LD8-f*?490=M*U;W&PJ{M}c%iQD(!m#apBHg&@oNFWNJUx-qC
z_n@cb`GclTd(KXX_1^?f%%G**h3*{E4K+==Sd15x0pi$j7BRO!AngyB=x9BV6^U4*
z5XVaC+62M*+0P4<et1rkL4moC($nKH@@@ZqG!H+4uVA&~b7GMOW0>8oTT^3SHE1v3
z8zkLnNafthaSipp<L3q-C203qJ?pG(Y>K*e^*$h!F@-E5;xN_>)*nDDP(TQi1R95%
zaFc|DFD7AOxO1=7{Cf&8bGRXK++ip+8Kt4F4*Uw89uyrw10rCX4@@Wga1Fux^tjm$
zCnrum&|1Z3C&hsyLa&5h4^hmTlA`!!`#S#&F@F9Cvk-7hQ<dUM_lPoL+>RI%Os2QW
z0q=)%uEss8U;^^{t5ueIDRaL3AkI4RJr!<6@&kGwURI_@T1Q(xuw_fGBapHfAkg_b
zDk35z<7`E&nSsGF0`H(_Cr?H<t1W%BQYNMvo;)eIF**^9-p%7fMTLbe;UTF|dsT-E
zVegSKGoU^Zw$gGWc$vlRw&3FR5OU*HxD@~^8MudLed|^zxa4tWfvPJPJq@M?j1U@q
z0F+;ST9f_`p2j#c0LOg%{7`bsD=3Wj;(-lfWkCE6*Fd17yE~lac%6gx44RO-c!j3G
z^eaI@wsv;+^-^$YwN;6t&Bx21(Nd9X-T8fgj^jr@(_f?Tys@8yoTs88^Xd;YdF~SE
zaMuG67ZzlG8BPU#jWF2UfBuXE{uH3HIw$vT&XW|ew)B1@Lk$UhapKP^a$Fxz-=EC5
zb7z;^t&vw(>0w~so6LsUiwr)or6PiYf{>lz1&tNr3vgBTT$4xa4m<;^*BT*fXD8Gg
z7z&7j2LeW&cW3vt2Lh|@w=z@YP?lTL0u;Du)rjKoAi->M<Y8I9Fc>=5GiL}tZ1l21
z@SI;JIs$<QhP)fW1u(20ox7%mK_HBtz*;Okx!2qA)8gk2g^iDA_3Ar7ulxE0ts;TZ
z>ZW`^Ed?juJiL*aILolz;OqiC19tz#kP$=tx?-exqH6~h28@W*mLVX8)IMHb$^WJ$
zV2zT7QR@qnP~rI|y85i%u-b=MQvy1-MY|Y-Ck|^et@WYX+FOTnbmdw}471}!NDZ)d
zL?qnP-AtAgsK7dD&!*!Z3_<iS8t!Y?uR}%w)56Dz=l6!cqX|dxi-Y<*%Eox@CY0Il
z-zzxvEF*UK&KuXL;K)L&Phk#?lnOKOVgJWD!kbwb`di153&TdPX4LnY%tpI>22hJ&
z1mfpH&rRA@2^89Q{w@YD2=D>;(-KhSv-)1%hBb$E?cwEx^hKD-erRXmNo2>w7{c*~
zNRRrIb_66?ewhJIh^O)$g%6T@!FRH=M<Fo+W`QT|M_b;p4ckuuWm923)15D*@M#XE
zYP_uDMjS8DzGI(Y{o~+`KfF~@Q(zlX8llnVQN;6!41IdB+~V}7#}IZFCf(~c(laoS
z1xJmG1J@1qAtFWce!Y9hg%Jd|F|{1|8yfV~b)t6kd0}l0`m3qkcQHf(o2V}v1tfSg
z2u8>tAD39eV^&tZU0t};ok;fnWF4YmFjve82ODm|p$?O~-Djx(-d}@1e*Gc~YlIVl
zQ)vxHzL+npu~QgSfT;)?$(N9s1Y^KHRaFqs6n^+!viB;aIESELlH$BxWr={*gsvUW
zlSGHC87DLQpgd#HD!tw}yEn1D7MukJE{d-GR^U1q2~SwPxL1M5Yk1zS##!^fop42O
zVkaG2YXtxqs}jR=R}olE*d@GPk;RF)rcmKi`9TW&Kyh<%U~^mk!nuZ)jig!*n;vqo
zv55&#=@|8CV{N@*qzLP~^fG;4SEshi2!Cj&ew5g`q4MhvuG2b3Mviz6_?RIQoRx0w
zD4?L4!$(28VUe5X{AJk=5{uVu+C5=}sgc$xIozzQs`h9$oKd_M=Ai+qv^-#1TU%>+
zVhXyWS7{f3Y5Gx6VMHenWD+6x@Im+l=uB|2>gz|=i{94+WnT8>r<+WIdeWtf7hy0K
zk(3+*=8l6Ag)w}zy;|=>t~$ocInxr>QZ4XtebVFHg;fHvDrUr8`|HX<jYj6i**1y)
z(D;TKw`iJ3uPn+?Sa`5LuG|vvD;5HzONvF$AjpV@k!`g7^kB8~@T@R;KCO|h!|R#7
zpM5?YXqwg$td9fWuLOleyHMFcn1u2Z#5%*umAG<-!ICL0jCm{`ohoOBTA=fH!3yr`
z+xTE>o=uUvLiRG4*7g(6&Q4}@rbFkoMyKJ*?wa2B)=y9eLHkIl3_(Rs&NjLJbY>9{
zetTD@LMmi9o7_J$Jsm=ofwj0lne|Ftc{%^)%~#ZuAk7Li9lB90ge}3x?%n!=8Lii8
z;p+;{re`7wtYNWI`5e~vp2xG!oc%+HK5}g_D-8oGHcCj``0g2v3^NXn&8FoF%x;Uf
z<87Q(J5N!_4O=4ug>U}^AN%!MD=1jF2`|JEpM1M+>)_4USdEX_S4}HhPDM^UE$`@9
zPoNk<;!V|LIFj8YZwa`Ri0nFjsu+oF1_qzpKcAx`pw0nex(N<ft@^U7@brg_$hJ7n
zDe!LEv|FA7yB|sp8`}wFmQd5t9ZdNEO(f=y=+~w0`%IagOL?(24EnI=P*R(-IdSlP
z)}h0gSyeZK9tErH!*<d}->L>IjpO&;3%srTAy|J|Xm~iL*6?n#M#S6e>+J73-Ue`c
zkl^~A3|tM00%AAA!>I|7HETZ9*LU`wvbSe5&abt|LfBL^`6uw?^|Z!{As^kE2G=k|
zq5Gsw+?|{T_LCnN${jSp#A7tt9mhtIL;z9M3IeG@)32Lb&^n<jK@!^QU~WbN!(1Ug
zs;ylxy3ihc^~c8XJ~&HTz2+1oP^Y2Gqr%WyrK8%P1#rwLx(~0rz85I*Tfu>sGFdSS
zlO@`jyj`ljE`+kBC7;8NpmOl93DkXeN-zK3z_A>rE2__AC7=C86^1ws!Mvu%M*8-U
zw@pn^4jHq!`jLu6OJK{iy>C%SV#PXFQRrDtdqK0eFMiXeyG8Mg3Zs8mw9i)&c7&=E
z;4nJgK?uv>tw-m|vDM-gsmU$Hpb0o8d*4Vxs*8g=<7kcmPG?2MdEEb~mvNK~13O=P
zj8u}lxO_K{bVJq{WHyXsJOIQ_{U|t~Y5_WdExGaFF^o$t&)e~oyVe0gcylCkaAW-n
z0@6clf}Zsonu4!7p0KpMc@zof8AGzv!5S(m7O39|U5F=9^tgp@K~_S;<r3^76o*q>
z*Y4R@y?EiT{eY?zFg9u4$5d7HD7S7QP3SinMm5-^vn41xdM&Xfx&}uAiVw+XO@Xkg
zp;aTzITe+aS8A=0kB^%S`9xu5<}lzD`uvuclypLLj*C39hT<|c4<BxXcb=r+UcEYW
z<j6LTYbXU;p}ES)z)5P4mMp&YDoAe*PEN!*%;UJi5s8@|SZ64VL5+*D1?|1}!)LY7
zbCjbpS-Z)HKXVDc3$mh1%g3D#Yz~KLwjXLzm8j$r@9FF$?Zlv<H=zFI`85<ojdDdX
zYaZnU&K;=N+dLQo(1>nw8B$h=`5X$#87d?4VS{Z4(;JFI(mwrj@YU5=@&fEbx0UL?
zVkijCagtWR!Q0wuG?zo04~Zd~6fEd-D7+E)g|g!6`i?#A9M|`ff#i_Sp<h5<j3&Wi
zI31}881zmK5RwSOHwv@}*baHfo^F+1L#CBOWlIG~Jefp}b`{_r_FL__zVWVB-Zi9y
zj+{->+xuEZNmXB8T1x5zW<<O<3W<#^z$sl;y8%QZ(w6conx3|FXkXm4v_A3S&`?!F
zTZX7etP@~ZNTB%gA^=)aIk)c|5yF<%eQ2W=rt5rR_d^z#FUStzh({nSaNZ(#3CA-H
z9UbFsnUBGuLr4QHhFiDx*4Ev~Il#4v7{jV6A*2spJC8o{E*NLvXxG<S`+^a}^32V&
zpbo1-@;xO13K3@Ur%xrlH?vgZV4z6EL}h#@Ln5y_I_5zwftbV1o0prLft*Y8bls*C
z$B#SX(IQ(M{VC^l5UAUscmO$!IBNziojba~0dc=WBrEE2;wm!zL7ZR~KwnMt`_v;6
zsPyr7Qc~n#i-*Kd$#d*t-i2D#nK_U>D6a6^fO#R24#&QQxSY*F5eUyP-W0&f7K>NQ
zz{27oBqnYF1&sdtq^0HPxi=qAomF5AUIZ#cmebx#GD2mDo*5qK;;Ez+9GJ-FM<Jr0
zHg*4~;l{gS##n5H_u4i-xi^hpbeHZWh73anD{rvXUp?unZ?;P+D-{8Y|L`jxaTMKn
z6<5Mb3&XyFH7~a9EQ_sItic@XZnIT)9M%vVpm^%}2SGh`E2M^ggJrz_i>)};a%bm;
zw^m_=4jA<EK2rbf_<)B94pkGBZN|oi=h)uiZPP5iZ4xjuAr|i}@>~}u7SA%W6k%6h
zZOn0DQ6iA=_UpB~Z^i15J$CD3oATUI*m3E?D*1O;)IQODf3#T0ksEP<@-fw)R-3#h
zTqzd&0J5}sPVD##(JkZsd31YLOo<CC(?IBd_^bc=k7B<NuQw%?&W@{QG8h+I&cAQ)
zpZ`c;%{agB;kkeP9sKT=9h5p%UZ3)}n{x#-tv7RBPejh`7A)J81L;~WonV&AxGnJ*
zGi1MVJ(s`QqjK;d1)*PCzp*S%@+dL&+gy_Vbw+BZ<;`$PKZfW7d_P}~EU>2S{ciO(
z??RF}12Letmd|70_EsW}kvUY=+b#Ds!NfhQw<qSI$)g^Nf#;HC1$}uFg6um}nu*cd
zwKmz^4h|k+Hm547{E{zG(kGuR<Y%XvNu?^~89vPSOkn?7!t#U--!nJb6$Hz}BtGjw
z6GkGdm0zxGh3M+W+ugFus7({zD7aJxymSaqaaJAvK<(E*DA%Y^V8cQf`xxx@XWw*t
zOkn+1V>-eue>wYs6@)qa3>9(EmV>^5uSWI3$@p<fzh0T;YrLb5&=3vP*?gOmQmF}k
z8O0gFu$x_l0=3sgiTW)~g1cV7q$D1mHPY}`|NWs#)kICqLA-;G!td^R2IA1ksIbJe
zWJ=<L_p;CzA_>m(2l$fsDEx#aRQ*@5V!Ec}o*)^C)3r)>W8+L;cm_1G#1P8!FH4?n
z<fkJZ#avh0GE<^Q=>9Gar1s_fP3h4=+jBju=a9}C?})=Ii3i>lA)W0<;`Xgu<t2Jo
zfVpClf@lh)<>Lsyxq|38D68~1bj|TSJ+<lSg6!oHzX<a*Q#JqUnpHaY)hU!!6#M#2
zv||{E7WFvyS${Elf@$ZlJbeqlR+pHu>QOdg{^&yd6$YYo()J#a=q|y(#yj4q>TJ|3
z#bI5873sgNgWO!}4mqBpB(hR9h(tNrU~2v&)Pa?aaru{xHCJ+cIK_QPaZXoiD~_k+
z<nt0`6eEGenQ@`M3b}C_Dq^Ka@EQ}*X^QYOx2x!nY(tXSfam+iW>#U0)mK&}H6ErQ
zq<r@8O`;$Qu8mupe;`V$9~|8Otv^Svb9(fUH}gtD_myYt0oqAAVxq`J+w|Oa!dyvY
z126r-O@z6Ol+&p-znF;4$K_OaG51xRZ_waELa%C^r79~?e=BmIzof=Vf>0Qz5sZra
zxiG(q=y_S88<sa#|Eedv&4`)!#2Ux5*{xcHxH;F)a^;nkpi{<J1BG9FRSJDUAU(0>
zxZ)g}y*(}Awo8#-Yb7V`juPtA=lDBc(n%2C=k8Dv8zx^eCfQWxCpHj-u<U8NU#7&4
z1*ttd`wp(=<D)2bOI=Q1?sb9+AgA-N^hYY9Aa1;WUq~1wp{vVVM%lcUNHkhqsaDf7
zchBz{B_Z{>uBS)uAT=R<FJ`=ycZR6<9&Fy{p4#E;-;*%=GL}MdZewSn8s+GmMo7>q
z{)2m+6@{C1Itb-$7seg<-kH&L`i`u4TRuzMVa&%!=zj1bh}g4Dx{L%LZ3Ycanr~D~
z-NK)P#(3!nnn{Z>c(zJjW$66k9r)*5^INQ9#gX#pr-F>baCF%cCYZ^K8~DIx7Q|M%
zMU4V6hROwy7+QQ%!u@fl$7mw6NFa_(&c#k%#mp4V7D%%a7csnv)Ju!M<(tS|Ts7nr
z&oDvX{;P>P5C3+K{j_)3o*uUkhO;j~1)b-YAYjJR5Sj~W-bw_dbMGC1&wbZ9zjk*Y
zgrFwnFk4W)o2&Omz0{>s?wlu3Rg@7@+qT_%-%pSk$e0f<VIp*~zR3cu*D4+#m%E<u
z2qDuGzzLbpj9Szdp}uC1>=TySllmwO58DnTOu~fmV*L?e85wp0owfq%Qb_dxr~zU?
zx%C^8c|cvL9)VoJebgS6(JOfQ;I}^jU@^%~;g4{8Lh^(19XDTHP0d9%fwb&qVD2oq
zzz`gQ!dmheJTD(ADlj-}&)j82Oh|=Y209CT68udU`F4<)7;XpLV5Fy)_hPYPM@I*K
zEvgi5(UUJO(nGu9fxiJ7=p@u#5HP^22hkadTtxdIp<`&MU5ItQda;A9m*JI_{R9G{
z$}-d(yq&UgDL^;WW&z11;0mA|bI`<>2Hfw|sYk%z;eg1`_e@;{T=*N<zE9s5xM$))
zzTgE!4v;MD9xJ7mxgOJG%P?HfueS!|@bQO}xM|^Lsg9~D8>lW(mXh8&@Bv4Tj7;Se
zTP>l@zwwV=`Ps2z`EuwoAjbmi0CM7+%X5q$!gNA&HW+QtL!;P5L|3u*bZD75rV^2o
zQ@~=&X^$gM5{=GX9_X$xu!cc8_O!jd4-8)rjG}(Wrzo$ez)YGf$i5Pi)0f>@326PU
z?q*a(w0@AIu3EK9J{|}zMjbst>@Uc_(6p>9a(ocLVqm7AcAsQtBfg1QRO?l-J;*+E
zO{{UuAM`<GZDdE;?eBh6RNvgZ6Us;gvf#bpiv)KCsCW%CbAZ6g|AEyws31Hc)VYXg
zOy(hpLLe+9IT=CT2qxaW5tTIH4|@v>AWfTZl>;<=_bx<cFXD(1!U<LefF0^JjBO(m
zL9bkXU0%LjT3RpV1G-|AqiZ1X$7_pY*Q>WS94g<!0)vCyoSeKC=6BLtoj8GBz5Mm-
z(2Pv@1oiaR$T+H~yg<c=Vy?VRa~PRXShH=xTcerDK-0)x>OfsnQ*CkVyJ>q^jJ-hn
zff#GM1>^@<CMs=wIY9Idq$~`s?nA6tf?~XkBi<d--S7{?+k?z0M0B+n=4oGE-2Lrs
z;EK>vP?$r{)7GJI2OdHcyV4QKiHV)xzb_}yz%j>%YBmAz9zwO<dg>a}Oatf@1VC4y
zo5c)4m~KF^pY`;lQ1<egK_}(|j0-y&(km3cc%L))AgEXY2LY<IceP*X{pkky??CMb
zphz+xbVfsnD*7+P)D>O|2O^4LibO0M=mZP%aG=4>M5bm73FU)QMJgGB{?L?8pcjQJ
z82h;}5L#vYOQ=!tbTCK?fpS>G$VJINS+^cs19|~8!`o$ir;~V=R(vh8USrc#V6<T`
z9PI3TjLg)?F=!IEBdiUvSZE0w8$+Bb!)H+@2l-?K2GXm2@9)pYRET1wsCRj3^i8F{
zztBmblO^R(z`QMhZyrL5KZ3Us7UnLOTL2PnZD|QL0wK}x?j77LnmDSUbB61B4?C!{
z0Z=Xc{OExAhEK&n$qDcfMRcK7tL1t`(hCaG5wJg%yW8R{LF>iB@D&gn_^vK8;T`MT
z3M6dd%Mqy9-~&QjYyrCCJ9l^kVavmuT$0!a&45B5JG!bV%8Y5L18@eEO-nEYG$3-f
z40!x=450G=f$fWq6@Vw;XA+YDKLdj!Oiy@KP8op1`PLVMX+O`N5v2f0!SQSdBnxo@
zupN*;!7>cIKU2{D-Do{4h|oa_zbZ>iKRk1G<RUWaz(-Snvs87-0(EBjbPh4x)p_if
zf`i`zC@9Z7rmoJQ=3r$tfn$8U13U)CkWmwmN_TW9u#bH7`Zt8%ek9%&mKwn11k;)|
z8-3apS1(bp&LGYSM4Dj)qL9>i?0ob4moM)_v=3<2ygZ;ePUxe7p#Ve8X~rBPzg63M
zR1sYM9gC@w=auEE9r%rs8v5Vd4lcWsc@eFDQWC$}{j995`H$g{s!<tcV`U8#$4ZK>
z`TC{x#0937W;S6#L6U$+rw7~!Y8UUb?Z~?hrI|qIl+G3r9)8HoY!v})hCRlwkOdc(
z#mAxdWkNs64n(DW-CA?R8JcGqsLYPy8FdE%WQ0PI$`5-PV^IA@>|v_9bt73X<&P8Y
z6e+qR=bVLxBIBM6Yg@OD9D;@(ynD>!VzD-M5pv}vAo&P39vw<9JDUfn!llYmn~C@d
zL}XMvUONhjZgaX_xV1448NF88!-q&5+azmuJ0e0=97wzP^Ua+{nfMG=W@a9nU|NC+
z<s>sBYOP9u37}Q<cE`G?WZIdDrZ1H74x=JyhgL(nzl07H5^O<Fv4Y?m+zF!-hHQh~
zIV}dNRZG*DYT;?O2~S6Ifu)NH_1Jm*mG^qQSYme-M$x0kOWEi_%N`eJeCSX(9+o-h
zu(n5+w?^e}J-welBJY}o)pfsVLhvy<taEy8o{s@D`g2cRxw5QGwC%z@>b@#=R#wcS
zE^3bm`2z|57#{~2fE@ax1#fmOb3M=|w@XvtpmmhNsEDfRa@v<IEi<@tad5zY3Fe43
zM)Sad5M$gO%hpQ>K2gUM;SgRIotv3-=-|k&Y@ineFx006ImOO<Uonm%NQF(dFuHSq
z{SB45U2Z|nRB5{xs|qUoSeAkR4*+n>K?|k?Hc?*Goh*xI=KIMP1grk)mm?@%&}zeH
z4~hVKVeCJ#Bq>SBjqHeFvwy1I7CmnEQrP|7VoCMT7GV?Nki~jwsHvrZW+I?wmq8LG
z?S-xOZL*k44hobZ09YuTa4{&VaEXs`7up>=w(G%rST9NE#$O6pRka-7oPEm^Azt1)
zxWLnI^U@LUozkyZ;p*rJKjT{2Gl{_G@pHJLf#6hHWLZnakQK=csSJsV3LE_X-OdT+
zL|Hsd;)4ej?r*n2(1J5*IsEcD&3KxiGP?>i+&(j5UsNN^AZ~CykmsMqni*g%>#d)F
z0U#+-hb^j)0TBj5FDi$E=|}6>^sz;Kj4iX{)q?c&)0&#giEEfK17r%iCKOwRu{-c^
zL3@(HAP|hWi;Mgx?5d_f?;L!NT|B?S{~%4IO6o^B9^3Tn?09XT8Pq&LN2c|_`6Zk!
z!j*?|I&j?hXT<R?&M60ucx}Kr#VAB@GLTsCgZKG)C_buq+5J!1+G0Y?SZ5g(Lx2;c
zU;1^&F#<apV?<CvLjyAS?c4sh=ex@bQjpgA2$LxR=D~ytd`=!%dKo1`4iOHek-W-#
z*P<xmTPzvX0W@e1^ZiiB0pUTV+1~ye7c8>QEX#%5t2Q6|UofSs(|Zs~f`~A%8P^aV
zXJizso+P|^^KxW!p<2cA>WUk}(v5@>LgU^$P<lWr-GQY6#7De*c483<`ZKNhU?<=#
z#r;a<_u#=vB+w2symVK7jcOK{X0u%`rfC9fMan6n+thj~NOc*uY~fjNkY@isi0a(7
zLfN}Z>`_$DmoM)=DvlyS1m(%p#<j~)Rk0Gw-fClZ$~QzvP`^0}eG+0^rZ!?699|yB
z{{e?yrFAroR%})Iwhh>lwXW_>RH^p%;v)vn)6%{}tH35^2u=3OSUkZ=G%r0f;PU~3
zvKZPS>J{FjXS)FHViXEKF4!s%Ab3*y_e7w0K!|Kyd^|oDREuz;=rAUSV61M*^@L@M
zx97R{xECq|>hIk`8+Gs&YEuZZao^$Y!9|YJ6XtI`F&Wo^58B@9kbVHkBqiZ^1E5$N
ztffGGKz9Iu5~bJJ(D}^N)U!awz|w&V!8}n75Mq1pL0A_IcPl~_urH=LgNt6R{!3>#
zsJOar|IFt}m~Y`g@k3xxhn2bcDE~k}v8tBVGurt<R|L!ejAJZP6^PCYKk$u@vn*fE
z7`qWEzAV@3>gxJ}Flxy9m&bG@=q((6<HO0klmRM^XU;GgZ;{w<U9d+gH%GT+MnyM!
zy_@}tPnR}beC=Bz{m7Z;L+GbQ{+<_ZnY6^K;qWf%CK;dG3|IR7Cif5q#R_-Y`M(XE
z@j1!Pq93F^om7*}LlA&{t|ojPxUFA&_jr>rHF2}kPIp&G0<Ziz=a!X3qV=hp=3gWp
z5PpwJJ&!!B<)9^4&b^J6`MQspNW615m|9KpY03q)Eh8UH2;H@J%Z2hooP&c&gy)c=
z1plsbMPau6_p_F?0K^8~@)Ta7>mi29{(NVr!z|W(FY**73Uj7HsJ~J!P!arDbsju-
zw)efPW4Xsk@I}S3wp$L@aYhJJ?1-(tCjFkuFMO8goL_bInc`omsV5m;kE^;}4eXx1
z8T2`M1xv`a5$5ji$p?B=!Y00m-hAyvJZ{(AbmuYm46&i<rmBCN$7;iKIf3&ZHf9Pg
zE4)8cKOA%A?K8PK`uzRHziA0d8Rw4uuA(OhgIvK7=CqTPr5qaP)~r+7!$r8wJQ$5|
z^Sr#0ka{f3qwuyw$#!4u<&__)2@?}--gj9No+DSMqpd6-QWBZj)v8J{O@8wOJ$DP|
zb`phRHb1s-t=_x5iI;s959?L!=0|eDaok>Y0l%YU6x|N5CUl>$U3qKTSlKM>om-c>
z^5gwCfzfVsgusGr8JAken$a&N$F>DJyVO4&JW4Q~_KBcQP0pb9<MHV$?A7SKPWWv)
zDd$U5ZXZSMw<%BVB#YSEo3DgSir9&?h0D&JTc(?CWEH9UhaFdvPn!}v!c54n|M_lu
zZ&s`v&x_pRH5*>*XvKn|NC78+ZVAis$e}}`LPCK-L9I`04nnR-7#DdResx}RnQI33
zf|Z;7`MV3+Q>PBx&Yap<cVcq3J7@>H>$;__#|)|G#SCr~Rda}4h9HSa#Y}0j`a8!A
zjNb=mJ_so6P-G2ffBR5feG31NcSSyK?iu+n0&ah*E)zXvWkQvRP>1`A3kqXsG*eTR
z49z7WB|rk!4)3YQNEZT=hw>crjOy#pppiulABxf`EDT@<&V>cM0rWveUiKIp4C4-V
zHDa<5WkjAH7zHBr6=gY%ZRH@8xBmGM$*zSz9gQ(?2DD_Wg=qK%1toBM;iN(FgEj)c
zI1Vf%Y9=v@cMoqJZE0fr5Go*$>bx-9umT5N+2R2(e4*R|YASS>c;VREEHCfXsmyD8
zAr{k`?3%lfPci@dY{wL=czF3P{BD9U6Yn3Sa%f1%7p+lJWc;}#feRzBpCMe*+WO&*
z8+9lR<V_dQYT?4m-E@5S?w4?wuVZ2=<vL1Ef$fKjo-F#ux8FZ^6zATX7b_Pv0B#sS
z0++j!2`-(mu<ntO1mF<3GVzQ~T3L<7o3w#%h5j0p93`pSLQ*XzAAfU^k5CsA7cX`l
z{0PekI6}9Pjv)*i1L9);8YM?)$1GB6pwmTY7Q~#xgM+c5q1pIpd{>amFr<IM|A4ht
zj04EgLL?`Gcx|k#URz3HNS@(28VpCpcY>L9lmyBQ5VE)jPG%XPaz}lw;{MuxU!+?e
z4ev#H#-;K$7aF}$w;Xh-D2d65tDKxM@$u)7G6ou_<0rHOd`0e<`vp}Ic+-voEP>CE
zlc8xNTQn{+Q&V^Z_YzySZ%51f9GDWZIJWpdNNvyl{KjkW5^ALDU@W(o-h@~KA0Gx8
zJP-o&$W-E1&fy!_e`F5xqRDww7_rnb1I-AkhN<Eg)@G5px#ZjCUaCef>1Ud1iBEmB
z0!jwGAPWHnBObw&*T_Ze1L%42!O_^|hal?%O%z!$?!%wqmPBGUMIw}aC_A~+a>K(v
z;DM=)m}o+`f{TgP5BC*WkLQWJP3JYURLD+zTW)s>lGtLG3rsVbi_FP~6~Fr5UpD^G
z)HMDY^>C~)0HL@%9`Q=p3-iuGO+`UYrGh-MM+2%jplZ|v)EvXsMXkeF5CS68Rn+Ho
z!tsfUX_pkDTwde7EAl(JYkek%P3-JM2?*o=G{rRdCMn54<bP9vhDxcRga)^ZY6qHA
zOs1FKiQ&@^H<J_0zkVFTr^h#n4HkbZpy`1v<IKlrtaCq3tZy56vxDuQbH#NxsBZ!d
zvBk-g71!ZlUKv(JP2kIxj+j9B8%iW%i<A^gjNdC{YGX<7!=u{wcMukYb&%M`NZG78
z>f0ey$$6gi4@*hG8;}J20`e5VYPuM+2%QkA%;JC3XTzwnEb!8jI3XQ4OCud%92CqT
z&d9dc4~*;Bumet--QpK-iwRO*DBHlU(o{1}st)Npz793YNJ}FM_Be_P$XIi(bT^kD
z0;y?gx{^R?2VfK$C46fBJj~mJK>{lRr*C_iXu<=r&*1`A&VBQfNn97}Px>#t3H)&F
z6cvgRkfJ#FAOL_SFx1gQyup!%06;6fvkNk@p1Vo+-sNwr!koJN5He^#Hy0%p;y%!H
zq-JLN0{4XYqSD{f*Vi{Y%y{2TPYPlbuHy&E$vzk#h{uthntFT-2P$DqmOlMQ`u+uY
zfkNol@h4aUhD(YK`^`vz$MHi>?0OLXn%mU=eaCm8JWz$9{712N7%dvK>8*Jq@Nohu
z0UizJ!hHlc3<T>jv2wdJAre5gEE&?f?*`=72M!;OSMv2iBN3r~BFg}YYur_1o-O`N
zD(U~6WQYN-oA)cX0G5FT1fd%WVMH#6*nQfIhjKFr#j^BH|AGP|6O;IQ>NXF@iSyeq
z?UT$C$NCRr?r*(5>4=)`zMfLcon~~9q)Z0bV?Nc$P~}DyL2~2%^BITn#X$7z3aJq4
zQxs>XtgYc%*adVV|IJP#aX5dq${(eqgaj>0#4xLq^+734)i8{Bzb4&yQ3t(-jTC1-
zX>2g3T+`gvHiu){?d0n8oR%@IW71jjlO+=E8!jp`FTo?b(d7cmBy^39y^)`?#s+;M
zZCrPEck7`T+;m63$KzU&!hl<80@Iy0Lw9y?gS)sgj=R`XFZSu_W#c>`l#}!VR?a&g
znME}iEPB^f-v~yA!%G^<+s_nUI@evqJ(>6PDUBb#6Gfl7XIe?uAsM!0DQs+O)9g~?
zbnN;1HH6WAB(EJNTmm?e{^7$|*ux2R1rBBk*;ncVPw!gB`)=us*@+W1#u&W(1+IK3
zaGc0E6(kU^ZibJ)T;bU5wB@8y2(gW3)qq{IjoUDqqUJfc|1d__1h(cpc?HbY7~-bg
zqvC<#p`n~o*1G%t%WqkMssbl4C9#?1YJR?)42He`K%yiwvBP7u6tR5YVkVG6gGpN8
zs^RvwzmJ${d<7KdLoHA7h}x$9O%{aY7tc3pnwl(zd7wP7#;M>kZ9ztre7!oDFa-rn
z4I@6G4*^c<=>WK5Cjt-%QpqPM*c9?-qpsXRH{Y5CjRivhi9-3XK^6_ovill5T=oE!
zwRl&8=YBTbXz^M@Vj;XgS<w-Hv6rl{%0btU77{iTSdEtvxco>MwSUz**_-&Q+}xPV
zxB?slm<hO+-u1f(M;Ky3K+6IbEPDIVoxms|Y83<i2g)Z}$|m%$ZwBZsfPh;_gCNj7
zcX1EU5p;BP_~>Y&FkZsi))vD>dU|{J?%88p=n)d9F$rzt=m`ox{G(^;QUx^zDK>1{
zbOBt4Ej~*J+dJzgxaiRqZ^yLAnp;~@ph#}riX0$Z`IwO=5?hPl3&H;5?tB`v*r_va
z<P=O`UBD{=oF@zmEiJkh=vIxMlN=E?`<N<>EqnIv1-4;>CJvVp2GZfxr?E*yqyPay
zlA5(oaXh0-!{vZm^Qe)Lb9a?Nbp0t(?}DHACq@702%TJASqq;610aD=)g_>S*2#&h
z3Ed<BnqnZv0N#)}cwsUU-!IN>Y|SYKI}{h>fhNzsR9viL2!Q-9^T7id82r)Nj=AM{
zs;R4!-7VBcxSGL=px?APdUS1UEg%{mgni-U9Kk#U7mZvX-6X*z=LB^uq~AEt$rRN$
zZ)`z0`3K^wM9&IL5YpX)xNObL$Qd3`xZBze0uOK*F8sJKTe1N2+ztdI!21ikKAa#h
zLSg+O5v-%3%I$RZm|UyBu6x(eP!VcWdV1r6cDbeP$M5MuzFh88gKQ-6N6aG8%7;hF
zXvQ?LUC0yR0D0RP5ew@F{OsIa(IH#LQ)<k&+vaN%-+_S|(rCInTPmSKE>d!(I*!`2
zM@2{XfB6DX3cL`$?T;BIMh6b;3I%ntUf!j$rX~&IBpkO;LqeA3pA`5>4F{q#NRa=;
z;ITZogiI)WQJ8cV78#lRz8@C^-rt%WS37A1etvLH71*nQuJ_&(5)p~T$hD~{fWgaZ
zf#3X(hLw1}D}jNaT5)>O`ayEeunJe>R%Dd?i@1FyfjB0Ztk3H0M!OD60}2(n@Uo5$
zMf5hYvb?-sPy!=x5o>bwgHh0b&z?Vby72_z^Nh=u$+{04qw4;4?XOEje3GRGl{(o|
z;MRk<E@p?PQ)*q&f6oB&jbw2XXK)x|UeL`V;r##LAK6OaH^BB03AcqlIk=KczKAt2
zGb?EneoFr@CC$u!8=HPoLW|lN7OuFsIOLyTv>&lw=TB9O%h!8h{v2XCz$$_4G<$Yt
z7le2q9|7c|oJ?oKbJq46agqNGMgm_ViZJZ*4<A3eVbdHyetj0E#$;tVg0{n-0(Dnb
zMx5?m_y=Ikf7YjeWdkqoF6lAMbcGj!|3VqGQL>mI3&@FM`D^@$N5bv@n@8kpCUX*y
z<$?q^qQ0TQs~jTCyZEGPlk3hWK$Ake4fuT|?p5yD?TQQ;4s(32YhG9C(h#O6B7(v^
zriZD2XegFERU%{;=C8?QCqDj_kfdYTHKj=0JhSbxjFYmjtJ9C4Yx}M>2d&mAm)PcJ
z5+GY;msd?F_h@Ua3AY#foe=Ss7-j6{qdz4PO%UNeE^kjiVj=v(m(!=rO|2*V1f~zH
z9+7k4{jK$$ARftnKB`CSvw4ro8sb9^quj33CkQ{$w_6LJ+;$=ow={)1NA0B{$~S5s
z7y7+|LRm2^NA{-Vds;$jg<Sf*<vfsJlnY%oInre4OhG(6^p@ST=0=^aR{p{}3J&4w
zY(m$Rx3K29mw>m2#_l&G1C5L|K&S&}3q$TYJARff(c;>Cm({!X^m9R`$#-2M6`wms
z_lhStFc1f&GD8xF#83Q4;1?)v8W#!oo?YQkUpsk6HgMX>QEqN;$Cm(=k*h*GyTu6I
zX`fe$owJ%jzl&}g-%Ril->P)n(@`n>yWMq)4e}HGBkdhU;g#isZR#k$53m>}L{i&j
z6U1r#9rSO<kI?ujMLGL0PtTdWF{1FF9Tfd2!bRAv;yPphq3P=Qt7b)>TH$N$>b&f^
zB{?+ALB($pJht`ie)%zv`88D~qlRgten{Q*&uz3JiT{teHxH+>fBS{6g=j8Cijr1k
z9-1VxyOzwE7D7=HAtWiYRd<7-NkSxwWD3bpWU8o488RzL8A6nKwm(<t+0V0&=h%C{
z?;r2+uH*MdcR#UQ>pPt1XFA14)?_!XeXvAM(IIFqlVCLdh<JAM2kRPQeVW#n+tK%#
zh%65U;jkSSchaK|tyw}45$UCU%Qg~>8P@mKZ7uvF#K9ds;sU0{Dn4?38B;%}&gsb$
zPm=bq<t}hs$4VsLS{KoLc_+a)D)nAAF73*8LP@MEwX!jJu|@8xg)Rn~a@jLUMtXW=
zdImxR(ax`O#+(V5jIfvHrn?kH*NEVF0Ob7<vhh%GT$n|M%AAz=VWdOOPaL9f=76L^
z2k-RaB~Wm9%^;q0)zELE+y{?|dL4VFv^1ii{^O@lxMJ}_pNs7=30lR^I|JilVq!Ks
zUPTTtq9ve~1Jex-7}|;SGvD=2V+2%6T3Vob?0yv$5h15pV%zW69RwA1vw2bH8Bm<Y
zzPKW%p68vrus-yi<qpL9;?J*YYHn$6z|~I)#6|edb^?azU~qacm(^o%l*|;c0(_YT
z2yn|`Sq!Iss`psp!U7>o8JCr1CU2PMftviQAs9Q3cDFj;LUzOdl<j%ZbafGyb4#KI
z9pa(Jrlv(!o6e!MriJ1V(hRvhbnW75Fr2FbL-#(|gNbmrlM)iXx5~e?xw98QkqeF=
zSOIV$#(wyYss=BR78C{!Qs<yRv2N%jetTHh6?%W}d_50Qgc_NddBX#YVg-riXi?PF
z)Zl=)$}MS&ZwEf#a;4vms^kaCeO#Zu|F1yJ(_=#@QWRdtu<uQ-f$u^`&@&J`;<vp}
zKW<x+ZQ9T*{2m8nPyjxfMXh*Ocw}N7I3hV^)+!(=J^z&{f`RN&@7dXTfVKp}1N+ww
zjNpb~=l*@hWA9YNdGhbZ_2%S6VL%j)Nx61#0tKuQL)&VxZEbYa;P*3?lJmM)U(}$e
zC#NPRAXNGJ2J91FtvJSkmf&fia~~ZZp4JQIpraQ?>j2fvaPcn5FWlp)8-j%slLXtv
z2QL5ETUTGt#JGA@Q{xhxpXjqvVojsJPADu|fV;k^xEPBs8AC}RZo#MI`F#;7kDvbW
z?DKg3FAV5<jE@9%#xS5zfr0;=&5hAZfHW1Rm?=5)bAx~TDWf{XyyE@?azfxol|%82
zY0tH&9{`ANTT5Pkc!qFt!fiE&P;hetwnz=s*5&0_ODx|M6?uNoLG!{^)8qhtbVnHY
z(T7(g=o%Y59M)6^)FF=-$`YatzAQ4c`-RAv8M$Ef!<n`)&L`nc2*z@{eVd$20xS^B
z$e&JRe5b^XxAWBN;W~Kh)CRmDOG0%8Pc3%V27rM8&+Sj11X6{62;^xN)1`fl?}I*u
z3TBVWc9(g~hOD*_6N|ZL?sX!2<7GE_d`fFN*;?0m2n4s-NDYNgQPI46Eh)-(TjE&q
z`bxyUv+ulJJmG;+{w4{T`MGm2tkTTPTA^Z~@cpJqb!Z{llzCO_VLc0rcI><b1OOz&
z*CwLfuCj#G0~9kvDQn_1AriiSzwmJ9<ab0HVfbs%fw*Up9GhzMpbWVDI0cFtu3U}%
z?@ZxyycGHPz-iRm04Mz3&CbeqF|1$S`v(;kRO{kT+t))QfR-5lP5kU@ntT6)f9R*N
zXvm&R89aY0*oOcBf&u{KKvY!iSE8Vqyeh}<-rrVa8}Z*dgVmp`Zxuz4WSVh;#GlCZ
z)@xM#>~e{vOTUkK&Oh<XpfAeIlq5*^8tf@!DEEFrK|-@08yV@i+dGSf7BwY>fwOKb
z<LrayarMgk_Yb~FKlqr8ng*jP;RT|*YPmEZk`F9sxt|Aq3x9b8eo<eCy()ig_PyvS
zwqD^xLaG%uR#evmEIknYE0!-87ZgNFE*!X+<~|Iqk+P`y9O`bIDQ@Wgu!QiuJFPzE
zEZxKc1xal634mkpm%adON;XNyk3-9WjfaYh_E;Dlx|pyqH*&6V7=xtw_vJWz=Aeq9
zNJHW#OzuLH*#IRh+bjQj%fjM*f6P{A2lfiHDqQ<92-pC{12AI8jv7p0Dz-p94cnxH
z1prq9djbHVh?v-M($|pwf$dw`A1Pt&2x_t`niM$d+PmB={`a-mMe)1vkGnWKBb0d$
z!sF0Ek$e@jc$NC55bB-8#Rm2LE^aX?sfMN|WBl4USgNZL)P^hNX88dwfZ)COobWLt
zr3y2U;}A~{eG52F;6ivZwnvWeO=hDHK+}Y_1xF(q$$CWL(dlTnEuc)oK7`$ZB^|wE
zKb$BCo`;G7w;784(a}*fS|PV?$#_ri85@@&wxMl(^5nPr5oh>sh1+gqGo8)fFIM;$
zl721UduOcjtu_=vn)~)`hTjb+%eMh5n7;wfpwvWYHje9&3&yCBu~vW}J^2#?j5`0N
zeH8oN&yRq02W^$c`#>j+a}}@&I?ub9lh=I}XB`e!5VQ4w6_9IyU}L0MYimD)M5HSl
z6h6KZ86^B(C($n<<`7GE@r-+QON;EDJ!GIS3~N=mN%RtMz5~oUjQouK`&rGeMD2Y*
zQ&E8f76QG4MY^LKF1~&DyJK>ZM|u5iZ}){tTrSAS&sRk`;NmiJUG5CpbYS+m+W{b%
zWSk)5^l>UeKC?h19obXhIIqibxM;X8pKj>;O$u&Y<6egR^P=qod!=HBfIR*B#UAdB
zn|$v%CoqFthedD#;~>nWUo+e&kLZ#IO${(7IDC?6B`sS>q~1QZlET0xN`6uhhgm#w
zWczCzcDV5GzgHIi92*-@4dYl`3>0QtWCYOw$t27W`KEN?%(|DmP;|8ay_p+e^4=>x
ze)ibx84NnT)Gu0m?{($9y2{wNIDyTZhZ00Ep5XKHzwnhj!oT>rP#SUO_I7j>&+@@D
zt{>T0v*^^vaTq}JO`{w*1)&PLdurJ{H*pLASFB!`rWF=hmm5`j_@E9lCbCyL4X)nn
z8Gh$EEANBR!g*RHMFkVpnwz-^bkdkuIk+zJPE?e{o;S<o^oi#|Or+d|`WJAx1;<56
z@r4CTK-Mdad~G~=mPWgH#1oVI2<RGc$a?k2@LjBuTK@MeuYp~(B&`PvBRw+{hs3Jz
ztHl;B^{c^eOpKO${Fz`t6joR3cAqCHDjD{__<rJ_ISa11$WUsce!+nFqu3#M7X8rU
zAr2h6Q7};8yj3lvrL(WgLB^UHAAbVp7lch|85tOLdG-2r=)tsrTY_%@?%!h4hCTQ^
zt_joz2`4V)4^m43b%mFVp7n5@#cr48G4+LB`hOt+12qi|6<{hYSrwI)sfg<5BVS6}
z!t(QHVZK4`w9FthbIC}E$;r;fb^7Z~S!pQ_PwusAGcw7N5Or0U#A!gpAA6T!zG+KV
zvR9_^!UqnE{yw5R7cUk;m4H-)RY;cR;u=G^9_zo=RaIm?jHG4<2L&+dAPvm+Mz3CT
z0DgBwtsy885K6$yBk=vUG&aJFgibR4>!r=ZO{ijKz?-1R{$_s?-EK#RBoMty^PqyE
zKE=6x6hi5p_nLT(zlTOB#2Pt(g#di{MUk)pvX&!M$s`>BV|JN8=iM!5!okxUmi-g|
zVFn{tf!=koLI?#F%1UnT9z=xTpGzFvezEBM-NxTrchg0Mq~D0UK&LadwW|97?z23A
zn6QswG6Y<~O(#hiqc(Eug?O&%2+Y49V5(Ch|0TNRQ*$$-=vq+)ka#hvngtn#8qo8*
zEp<z2gTf_+Q$q_+Z_+?ILd0U3MTtVYD2xcp1&d_nW|tDX#nbp+imCJyjFjutMF%o>
z5R9Z}W<hPeA8%Y&{NfREcVORxb7LvID~P1ARu1<uu-wF{iA`N>vld1APTb0ooLT##
zST^{0Y`$}+#s9)9TVj0Z*?_8!fAdm8IXGgU`CMMm5<+NfNbP1WU!I540p|(DEB_Gp
zlWAW?4qZ2)5Q+|(t4|6M>+^3eC%l)`sh-NJ6oD=1V9@I6_X~-&lFPQZwhc2A3tM+w
zWr^Z=M=;VtI2O4(9BB6{5}l$DHzzJ^YBVFBgjuSJi%!}VUh&Z)e4As@y*32@?p}%K
zIVvZX3<n<ns|8p$=UjSjJs~IF?kORglbLri^o|@0G1|+!MOD{;iKyDm|I(*slDTlj
zjGpv4wqaJ{{^{^V6`}-DvEs!zha5A}J@iF9G<OG~!zz600-c*sx)B+{S7J62vijs>
zHbUp-jNm}qii-H71X1ie<V-p4M(D)K-wO&cTx{W~@pk%WY-Zqt#RLZjJ?O|``5-A{
zH{}h)yHcG?ty>*yjf^|?Zrt8{RsTz#K>yI28*5XT3Fd2bwVM(zW@^2OmFy$AnQP84
z4YKAp7f396)Bl)>k>?b_HQGG#`0Q=99<X7~H9K4VRm*3_YkGv15CwhDUz)12nX~j;
zUq6w=btf=DHq7yS*FB{k?b$S<?MuvFV(qb#i8l3ov2Xtd1PrX!)cklTSDS^w&{{*Z
zrTGnoDJi&8j<i1VAdb8+*gvgu^6>7<ho-%^tz%KRA}RSzZJW$!>=CnmiNMBBi-{w>
zhbwqk7@Tp(&v#urY&IJy)iBe?N{pv`CRRlZ9$rDbOEui|GOltJab&_%f7O-&P4Sl3
z8|_!Usg+_ww)1Fx<LrBWu5Syrq(-)V8VT6XTzFuP<H4ny=KGDzoSS){hYfA7sTt5Q
z`}lc>*o^wt<*s<69WPd^-kje5HUH|juhG*RF0pXBpZ5M3qG`Yq`T25@qBd(_K>Xna
zc=!D=DiNQCBUyODJqSWMa%kY4r3SN7pTqmZ@z@#EaLGkBWeSvWpV5B#`(3@iHjWP+
z9ym9aRCQQwd(mFi@{<Sec+koucMlmmO#S$}V~umg+rAg;qSBhyY<8{?UKQ4I+V4=y
z)h)NHw1i`Or^ep8jm_rfX|#6S8uXn08Zji(mHWQ8ZmK=E((T^AxvPq~LNe0Y^$#RH
z<|y>Kx0@<smGC_8n(~>hTk8okXU+h}x%`Z!N`8j=>=mBhSdP@0*|XnMc(<Hkz&YmY
zn@A=k<IEtQ0Fm8rZ*FFV7AQxYP{@NJVLJFPq3*R!y++f9GyqzCDm8JA?1>H<8;^8X
z@B5*H-X6>{LI1e!e0T6*;*G-95KFS_%Iin}((kR*Mfbu$Ff3i}A)@yIN~6vUywV+9
z{O6k`mIAxzIPC`AmA%x(_)bWgLhs#Mb{`op!B#83qxhDVu5;}R=-zsaEfN8f@$Yfs
zo1p&!9znM9s8G(F;f5aqx^qy;xIG}Lm&^0F4hjrR!><M+1u;VC05L)UFWluwmqIwJ
zp$UdiX$|he5$FAenuzh&3XsJCO~r_5sQ&Q-Yym33D3WwY+y`biGx>Gv{Odw-`-oKB
z*MzIXQ_Y^5sBqwc0Qo>(qdE!^HGYamm|2$&1{N<=5abCAGlN9Ibj|0_bH$Rt4J~kC
z+WMjK#R~-wVv8|w(-iYq5>1og$aNNi0bm>~E>MIdei%c@lqN71+zOu0Bh4h&yn2|^
z{pIx)>d%J-nfdt^6>VrBLu>h?d*+``im<3Ck}kWUTA*})|BlfF(ZIMNVurZ{`aFaR
z_<=j{_XjpH(NHiuvRC#e8AAr2xjh;=7~^p_S|2|?0|O4kVhD&ZgwGyT1!zS25Z;qw
zLL9Em45-}+5`}+5B~X_KpDX$F$qT51WA3m0;FwX%;?lt<Y3E){cb=LXn$=K<IURY4
zMs+KR<9EN_c>ec8OTx@c>SQdK>xGLJrD0sTJYv!YFcYn)s0dR@A-l}43IW{(f!YBv
zC$tI(e(Oemi0_R@M&=WDcgM^1baoor7{HhTzLyET6<eC@SULyg$>|Ptr%(k9)qwCJ
zY4o$g?D$t;>?mZeiQnqkv3YYbe;@?q!B#qtM4VUUT^L^~M=siXXW$sZ94dAte7n(s
z&#CnuMz-~joA3k4xEikJI|3u;p;EL4hxUp)Wncq4`zBtal<@$iW&R%lkCaIiu#k!8
zK+Wmvz3Lhox^DLM-iPj!dJ2?}`cA<QVxppEdUt&jZ)_kpQ?!f?l#|pauvvs@8oF2^
z)+O^c)~p|m`X*@(qlyuJ*VNL|+uMuIy)r_Y3~-}@#HdF0K?CyFKs>@Xe6H0^Kt?9V
z<Olt_we5IBwyWM@6_q%PyLLL?8q9rAOR<roXph>{C5%l>{O`4*{}8D-g$QB-Z3L_(
z5}C(ob<m0<A(!T&4XgkKK5>R59PjR~)H8sV5$Z{r1eX%90>nQ7u|PHx6FD0e8h(8%
z1;l5eNW>aJPVa-GGmyL!d_g6s+{bFmN&9deIY`QG&q@;)_FqSGk<NB{YyeaQ(t{2J
zc`tM6uKEI+1SJ1s*Ld_&56|H*VxI-XbMIl&#yg^qk&2a*%Nx)%S|<p|%g<nbpX=9a
zQt%r<pbp#7+LbGbHh4QQglY!!Te0)xArk-{0y6d(03%d0XriIa^zJch!tMr}Ha0Y5
z3O<wprW+NVT&6rAE%5sLT{<g`4wLEk1UVu2;6YNlgwq4;7qB&u^(z#{$)Cg>d8y|-
zo)Xh@bTRnd>z1Sa@;}_phIGg!VjjWek@7Ek?s0>lrJ&u!pcJ(&x3H$=6B0>aaLX;w
zk$FX(4L<AtYy}T^us1P@nPz#0xTATMIoI#mUA3u$*Mzi~0f)nnpBtE)O+~yedUV7W
zuRo1YytK6M&6&NR7g4a0DMtRB2O{?Tii`5r)7rjs=hRrioIIq!TFsmJUz?hkKw)C^
zS|dJM6_vc9;Ti^lEb$Q=jBJ`l<%=JU{d){mE~ivsjJpj6>;g%_wQvV&QRt6uuZRTn
z(hcH>ttwu3GiIWg*dO}=U4m!Lw@}olkc{}@{iH$Sh12dS7CbryTbqOxO93!^#kM5)
zHShe~%QKw=T`sxNK5d?iC5n#aao%`igz#N68v_7%^wHJ@P?r<HtI=ud;lFTpr`^gu
zI5Lv}h6w(B6)doly-wt$Mod;Y!JsEr@6oSQF1jPkAoDaK%=mQfvpiDD0VeF<{{{pT
zROz^arjg5u(O`#yoOKU3;OfA;W7>lc7;pl9NmuA!p^M8MdM|4sj@<5>pp@*T(nGv{
z6?3f%hCKLQqkk$0Nop64LJ9;=eV+>oEaVHO2Lld?H{j*DeMt?A>`!w4jF6FpcNe4B
zHrgJCe0C62Ceer+TS%8#Dt^5cbJT0}A;|j)G=iKHboJ^qD*U^<Yz7gcj?wJkFw7;l
zhg|O|k4nw)J)J=+1hK3!vI%hrfHM$Lx)$gm;Pi)jIBIP;of!#{VOXp9*cZ3qBZPkN
z^qDiB19@W@4J8z)iUiFiK0b5J4s9ZsChrW{PGDJwW8O$T08Cmm^w&7&DfExu_KJr(
zHa?*gVy8bBY#S<G{^w)*aQ`1>cAe!r8m=ONqd3h8cPM-OaDt1|u-aW4>>Ln|WJm+H
z98Txwzz-4n=k1-3PO5H2MCfhOMv4ixDfcdy4a#Tw_NcpHS=sIzhFYNgK{w1Na$oHq
z%2=Z9BvU~EkU-vyToKI6!~1|*dJAh;LNsm#GJ9T8@pE;x6Z#|oHl_P4+^5l{r9`aW
z;@h;WZF+(W7FO~=%~2^o#&!yas=o>|6Vo>`dp<Eft|zR=U_ED$O_Vx+kk{PI*p9Hr
z4<CLjn459rltwxnNZrdlOA8b;eNk`>N_T-VHz?;@g;GN}?;714rZo`&IFgc?m>Yn7
z1jUZe)Q@L&FLYDmQ3`F^cNuE}2{;gqN!r$`j&y^F0gV9$9CH1~;j`E_%qQSnL}PAl
z>uk>4_q#-@lSkYcdtNVkzJ{}=k<pOrS;XeyJTVB=(tI9VV!6@t=lRQ$cvA?1zzU_P
z#@48hUE2w3>UoTNTc)i(Y!U|W4P{Rz;x8Oq4>?65f4mqm>N>5*xG-!9#|8!Iuy#+!
z7Z@Otg<PI4H{hi>s4mRU--#8N`6(g}0vsltVxJCxeZ`kaB^#E(1AZ6VgAZ}TlgUrm
zA3DDfXn%R3pvNHXA$k8}I3Iyk$ys@qz9r<TEUC#F>QXMnEeTW)bsh!-HHOyLHn7eA
z&>C>9v?GAPEjAAueSr6nluVK}o_1-v+mKatNoxJ*KsX2c>wgK{(>MH8l%uf<4h97H
z-p2Dqw9=9zIFU-V@A@Mvs0oVR_@%D`7?A%YC;!l}`Q8gj*YC?T0kEP)pUCdr^<`zf
zYGtoT1K-6rfPGVIhGBg0El#2=<=Ne*R$Od3zW*AxP5#V_%gV6%iiA`kr}rN$+@1%h
z2>q>aC>+do*vL*H!!*IW8ykmRx$+hsvZQy|Q$^}7<aHq`diBN)Md!|?&pkgaiK%A2
zOFrP?#U>z-FxC?#*b0QPe*3lyz#&e3tXgg!9xe`!Edm0#Q6O?UZ0Y^Ls}{mtDVrKg
zfMYo5pFMqgtHcuf8s$ebwgB)K0{Le`Y_IEz-oA~J_gKS#3-@$IcA||LjXwxO%X(0%
zk!~q~WQgWy>+B2xTF%Rx52P{skb|vl4%8#I=G$~<f+Hgppv-_F2qh`fi9wPl4gvM_
z#)k)P5lK}TTTkG0k3nWx?(H}EXaCk|0L@;%ehuP1*P_@T1t*3&b>w#^LXG(J$V;XQ
z>$nC@AYYgcYw&#&xO`#OU$^h7+O@v2<;3k;xk7RJXNf>mgrX1Fv6qQgxObm?jz|_V
zwWLymJ^-lO&BFt?#OuOBK2g!~($by;Wq?WeRCw6g(*OyknSKL+AvwMMdSbx*=S->r
zw{80wq^;1D>*kE8JZNHIoW_QO#1MyR`<E}jP&|<l@g^n`qc2Oas{ko)fSL(a39ieE
zvNDX0C!NX=LcmtH+3;2pT}{oekx^Pv@uNcObM3c7l7bLwvmmzD5rfl^DvP6GM_74N
zQ#Kq?=$UX5SM{y(Gh3n`cL3}C4vh+(z%fXcc8QMQwt+lpJvI&v1G>x)GMk^9-}7!j
z=J5~i0pjgchNu?Db&vWAX<1pLw2CQ|%p&|4oJqn%AaojXDHrI%Bm@^A&U7Dt2P8Dv
zK`6RG>&%&5C=qwq0HF)wHz<ejnS+NXDP$bKGtT6P5U>J2YD>H+0cen1lvtLEsDM!V
z1oOhPnsi5S_ccTouG=#`dm)XPEVA$-5G$4$&dE_`3Hdt;yus`&U*4gfvu*bFn#9`D
z9kf~{*$s^I2lUy4)d%qxH3k8DB;6lhZb^`)9&tRnu&`)cs7!#nEHOObxUEjzj-`_|
zqC|0Qv%xoZBNiodcXP>4O0r4*dY@!k0t)M^3Wz)3g}fJixOJO2b>hfDWn&dK=i+rP
z8I<l5LRkj_Z8`lJ4|e5Q2=N55QBQrf+D$NjKgM<3F6p`d^s80G=$aeJ)=9Y;Rv`z7
ztH*_cclT8WJtLO({GdjM&bd8a*Z+Q*a^b7)G{vwC9m}MW&7N7E+@Uo!tPI&EDu1XN
zMOBkCb*t1BRzl}a+`B_`g4n8jqfTd7Rd=_*3c|7{b+O-`OM<4}`zQ7(-&^%{J>fd6
z<CO83gE8%$(jKqNOZPk3VNkO3H051i>0DK8laizZ(t{Q;E~sp!CZ-A)TwBb~@2}`@
zlB3M*6`%Xvee5J_Tj5I@ySz)zpwR_aqr{m9!9}u0`|im$C+v^iQGERE`hu-Y8z-_U
z<41?w*f&V#E@MP^7Jn8$SsDB`v5YfHZZur#esuj=t6-z$N*&DqeB2e575&ov>D#lX
z^Vj+e7&r4B>^75FVPX_mk&u?QaGL!bkCK()`5xWO8#>1`RK^}9e!p^qUtUAM&h>c<
z)A&?k`ytzn#-*u@tdtPfERWcj5go}yPice6XH!us?F&-JTY^hC%@f*pCjZ0i#h!Wc
zBunrL?S!l~M9iR_jf4G?LVAHtX8Z2Z{fW9NY{hnJo}wZ`3Y;TJw#PVY^Y_(Rc5)gz
z)v5}tP+DSFtQ^)e9XsK+?2PbS!IkE^u-+~sC;Ew#565$ZRXL(mZMo_Ouk9xuYjTdM
z{z^Fb{$MHx<5FaMknoW1PU4-BXQ0|LO@c3VTI2;E8{@i~TarI7Q&o_VS%hA8yS|C%
zLpwFzsf+Ym>bx(K+ItT+31=ETkIZsCFFzZ_Lyb1Nbx52`<OJaDk0@5M?&?Q5ZTy2`
zP!qGEqd*!vfqu`){#k6Khl@%ZQoZr&CR1cdxngJey0i<Om}^KP7tIcI`L}=SqI)QK
zGXXE)vcRN6I1|#rkwRq(#tK{uYDqFpn?AXCCRGAN>h9g6psr9Jqj-T<ft`WP{o=)o
zhO-}h<GI(bUr!E!c?J3h-rK}aqq)n?9^5#M`;3~H0(uIqBqoVcF)$JWM)Ea-?}d{f
zGd+C@e70Tgu3`A%Aa{4Lv%7msZz7z(4ymS}z>Qg_Uhy?!hj9zlmPUxE4R}2KnzR2e
zp@PI8KX5T2^!qJJDo7*h&YJqh^GBB5aHosSA8rQvk2Kly#!v&G>^o?xnAJo>*NZX?
z@?=O-xVX7ZH0<ftm`8~77z8Y)Ix!za7e*dZ+!lZEodYtsE}<D)cpt|k*;$kbe;&+2
zseto}JQ&ODKdr{3FL(|!vP}P>(FL4%q<`Q2e;esZfsxi=PcJVK{zz$Oa;_uVI_S*t
zc){}FN#N*~MQq7CSYi~=W*<0%uvNdsAZi0u#6zQGTx?r&-5@)|IgQgE@=ZV+_#0fw
zl|O8;IyV0)qjdjkmn<3o1=r2ow;=6rr?YpEmKnUzjX*a57MSe_a;Q-PVS&KSis&rd
z|HnHaQ}8W>VHDw!k4(Vio&B9h1xacz6g*%mZL8#>8(uX&X?CF0ZU0*`;*Q3|N=g-a
zVQvoX0|z1%ymAhSkNy0KnZ9S7op-_)g8Kqo8d*HM4-l>Hy~$WCeg@rOi1EV=(}Y2w
zpnU+i@fjp3a3LtVaq*xh#wgMbWRih(LM;7B3yZ;}4eB%+lE+CvuTCBy+sgAO@#^op
zqPT@No-PbgC1O`r`+;V_t8Pa52$*jSm)F$-aeLxZP9`M1&@TfvAb&~CFui~GuVN46
zR``A8(8nO%@nbxlN<O<Q{{obO$62?#;~zL;pzH;c6F?oleq~nD91);KTfhB{7Di7Z
z9q?iM{jq4}06=vDuPhejpb|!VgLnX;jVDsmP`+YNv)S`gh<}W^e_u(?B<k+nC2g2L
zQ+ZIDoqf^Y-vz_SR-Q-3G&cu1IVd%C0KXSh$LLk}V*(ZKd^{0kO-O?3F)={&gsX=K
zJ~Kt3*Vyp3ReP~Def7J^v!aK$<HApDz7*G8V5-cJdYVwfO@61-9i=cwQ+#jSm?Nu!
zYuv|?FpQyKaGO+^?!Xs7Lyjr-SlGoyMTqsqaASXciNiS@9Un&ge7l?eT+8$^gn26q
z2Q%&Q96wcIds97@%<%)!1!DwgP=w@==6ZyBtXfrr5#igXW-u9>3}T>Qx$z4MzC*_d
zq7b!b`-uuGww3JFK~Lr%KKd2(HA|ELr=fa^j1{)F?!xAVR6{{p+6|%Q1pb(hN?)rK
z)vF;(5vp2XE#sog0AotdKS(uFM0Fn4<277diXN9hWTR18?U6-FOiRyfk2b?Gnx=}n
zdLcbRzz4@4o}Yq8lCQ6--+wCEq4!|HfL+k7F8C7lbc5z!2h`OQcgb(w{1s>?K@WYp
z`U`MNkkXmc05hp8d3jUL*4$8-?9QHktVE-!AG-7#98URvP<!v*woPZvA-sPaL^v+6
zYd$3!h~Om0p%VoW(Y9?*GBW7=LEsTJ!?NdlA&f(o18m^z>`bikqnVn%Ko^8#1#T~#
zR$_vJNVsG8`IUgyM=^d14q4J6oO9(Pq<Fzojc~vpW<d-}@au7Gcf2a+ys@*K<{zd3
zB<JwwfHO5qvrq<1bL#i2_@q|&E@KQd!Rn;1hUpI$KfE4>7^|pQ1F->iLw`gnr!j0E
z_yqaSG2u?tbErZJ!Fv)xCFFEP)bwaYG$TPde=9+V$0JQ#M{t!LC?17mik#YKqybY^
z?hZMqhC8sbRsH4{_%@suaOFYL;EA3WtiUN$pNJqRu>=i!_T0G@3l{>#&{S84Bqf(d
z)eV7J#!yxD9o`E1WJfUJ!Rk0CnzQU>5&r~sIWr}nMg<HVA!!$ql#~SjqY1P7SpNnr
zfUjRapoRvMe*AbH&{Pz$h{esjSSCPqPd>%+2meRieFu0)ZGygJ`Db8JfK2gPHgp$Z
z;WCFLGVEK<0@C380Nfj<=|2DOfDh__=F(^n{r{ZZD0N*B>i4_m{jYyy(8NQHQkB}9
zx>}gr(no_IS<9(Ye*V*TN&QCup&Aax*vE(JH?FU(;U>%1M1_$oWk=%YMEgdq=5?8x
zY>bA8XyL(&qMrIJk+pr+W5<qYv){DoU|##I?V|6j+?*IOYtFm6IzB;)QuxY@7U!78
za%v)K*xHeie9dp+#{(4!cTzMT51*A!cw94}VNZ0I4ES~5Yd@fqz5l_vN-OHAwj)%=
z%$!?64{Moz1LY1!k8rf2XH90$bg{^OCczT@47sm;_JmC5Bvp84E#;=m_Y`0CWiG^R
zPNC6iF%j_vRgE!zzMW>3Oghs#y1@=^Td6vyB(!NGV%G@E&^ecr9@5OJvThnQjR18D
z$0v!E)m9syQ(R9e2O8hjt3TvgKrp-t)=(3V-)B~u3c6-sKKL)Sm{svgYB;g>M5-(2
zKW2-GN4x!#f;1=*YW8B$DTXD)(r?d{GgNzhS{5+B6U$;cB505?<Q-@cdgNHsVZvlp
z@rIpM2iO=9OW8lU#fUIa-clzozgHk8CM%R{b($afC%qG!HD!q$PUEAo3JF(=*ev9G
zk$d#f(-y+Nl!Hg~TDZ>|hI2YA)m?1+67Jl_<y)<Y?&@)0YD%ow?8v0vqj0TU+0rfk
z&Nd}OP`r9dStTeCw}s4hd!%M9sH&WZXg^`Rj_`9RNHiU6EtjW0sq7ME)a>(Lv9GDX
zCn=i#a{2*vTl|p=w(e~LhY8D0;oUwC&5a9{x_|Ld!-EZo`}SoZk49g%G?Xc`P-9lz
ze<?32F1x5L#=!qtj1O-pQ`_C=%c<c(rVIHxpSOQvA2AMJxP@n&cp@dYH9E9Lmg&SX
zw1^!Eene-~z}D!v193#-YRgU0dTN^px7+R4U)B<YKPQi|TEq{^?R)gxoKqsq!UHOw
z9`qC6tT`pJpI$x0UghxNTUyeNDhi{0P|<1MF=DXDqod)_Vq!;ek}|uFRemr<Nzd%T
zv>|2?zvHUDbw!yt)8(KN{H@89L+t7vCZ*m_XZ?q-xDoHyX^ASPuVL)gD}L2xe($Wx
zgn$?$UV@jhHa%rJUoDd|J$$|W>)!S%I*Yef_u?b;mn;081E#`KUF9_%R}kX^hSUG}
zj85<n!yF>fB|(mqh3dSb(as-lFbm3_HXAY7^2lH6dQq<zF?fuPL)Ut0aHk2=yNJnq
z(f2OP5Sj|!Do*|y&j`7ko1)R~j?K)jr^XX~!z+8(_(ne1Q*G<=gzk@fPz2RgnfWAZ
zbU&6y>m8rbaWm-NwVR1xK3pez>f8q#_Vn3!9%4e#U;BXCGbw`OvPf&2%=I;dzk{W4
zG`?pQ@1z(m?NX=TX9@lkzx>GWvhzRvF<u;lMQ+mdarW9jn+*Gi(LF#&fWGdQk_uIi
zg)kO>UcPiGX&ba(tRZXuR|_C@&9^(YUE%k^GTh^T{rc#yU%(3TcWecB1EK|8zza-i
zfxZ<Oifx)3jV7^r9v}0=)E(TtwX48q0F7X7gX?>AXh>hS8D)HE?enf5Kpjz6m6Vl%
zS-h*@H3<wGusy<<$hqGrG*HU`bSHT`Tu0ie0lxA5^L4&B^x3#2^fh+v)bD%x1rx@9
zo%l3@AJEy+K^Z4&6WE(qAr~F31yC&oTo8DF=H3%qaRVCORih2x`nm3R%jB*Mb0aSU
zLUWY0b;~g}eZQ$GPod)6iHxn=K=?vbLPGmqXFJQo5N3?n<F#wof`tTug>Fat?(QF;
zc@mp2X=BSOzoaA)2D$)PteTpdzW4N?7eJsr0#lMLDo$rl<9J6UF*H1!@#M+P5=%UF
zl<xQ&_}Y{1n2&G(Sr6jZ0t*5IF3`{Qa5AAo6JAqYSGV9k7^c|R*#bjU+I}>q`=nPk
zR}x44vbd_>rL5^^_|*lXJgK2&!BFmyFBpIz$7KK7VoL@NgX)NmrXHWgQ|KTa(kQKv
zut9ew)o6`RjwTA>J>y^Cg{uZ*=uv;iXBfcD#VzN03Q|#DM3N!4WGC6gp$APhOO%#9
z)BOZMIn?`527(St;%(0JIEVQ-M5ZBXfMfGaP!x1w;19(^%g_Okwi<YeAgKc-ioS9I
zD=VU|=%S}lMEdynVAug}I7=9wV`E`MM1B4oT_~O-aLU9mJQZMQu%d;NVS1SLWoZcr
zaSqupVkTrr@Xygv!?V=}5WztUi1;wXtWV(AL;fB}r+eqm|8w-{7X<x*x-i&D#<0O9
zMPO~F1F*s}L3;#m@K>1pXYm~=S2xI#(Z`iTDeUZdujY9>MdXqpCP^)}23o)l;d6hw
z1n|A_8LH??(TE{O+zNRrdWbad#pm1K9~l*;h?G0@FTy)l{FzmeSPaS(qsxAP1O>Wz
z=gxC1bRqpm@%N}=Vu1U|nFr`%s9X8?3ZVgn!w(-PYB+qvW5Hn<c!T<m9PooMM(wa2
z%9*<nkPea=z*${i=SucE<-bq9XsI)Va>tE~SA#hO6?F+5PJs7m%;!COc2wUEqmc)H
z{h|OuJ+Ho#EUs*|xTQ}&B&UZWIy$o)dQFrv;9Vk3+<#MSA<e$>x`&Mn4YN>+04qQ~
zJ|1(=_wVbtxpxD)Lp4ZxA5~R#%04HXN~uY2KYXc2>g;a_qDKG?DS<FH%o>9%vgV;L
zjk*qg(&96iTS9>C=9FzD>r@QIXl$r}fF3{n{rlgee#yYDG-0s9&syCz#B}+C04_3<
zV*#2UIOZcrzG(sv%-r*rGUR-C&Idr2;)z4lOj@Dwp0Fds4{=u~4WK4;#KD0GYNKQm
zPAoQz-@s5=;Li~e>({N5MsbDe7TUPFvpeg4G^Xu~wg4TR`6+tx>U`-Khetm-Iq87D
z{r6mB2O!DN|Mj)zy$B68LaLmIn1!94>GxA!5SS{rL3>bIgzt@zAsB-NByn1>ajwQ@
z77-U(QCL;Al40WL35*g<6Kq(`Ffrgf6<JlhcM^P-AzUlSy9Os$hQuYsgk?0B3x~w#
z`qC@&kvtz~72xORCao21wE7Rm(?f~~@u;4n0V9eQJ45~cG%E{dZqlCmWlH78QmOJl
zT*CJJw~bn9$LZ`t`EbD8uKZ%OIoME=@i6B|{vmP9JKD~G<X6aJKph?S5BN$M&{!vh
zP!q|1)hKPu!P*)&jsi3_1ylVm(1peaU#?DqO`kj`+%<%Q$y(haZ46cdq*q~T^&bk2
zBx*CI#L2{v8h5C3X-d)xQ3!v)<fS7B?E~2f#NryaB+~!bRV3Z$vkBPEZU8n25@_D_
zuPTE3a&X$FM_rH4TCd=FaJn<L79AphDzFg<s<#F<1cC%3M)qKPBCC)_O-MdllQd7N
zO;%#wG%gxsjR12n%Q(T#z#ko(Gt|V$kn>_Qc?Onp00i_g3nTt>v)E@3?fc5}0?VF=
zd}xY&AY%`6B@jcEw`lpu5F$xkYGCe2y(uIE3zsbU@T3_yfpC<@0Ja{diim^8rco~_
z!}oy=w%ifs=ch)3H}Hty*7C;oE?sdEXFI5MJkO+%4baH+Z2kozL|@(nyYATA<sg%x
zC5GGqx(|q3&;(6S4^;-Is2Mv2=VQr3st@ryt|)vD^^J82Z~w?Zs_oF)dEf~ms{CC^
z3G|&lwbx5K27wp)Ct3QvJR7F@X#G+ng~w)2k<(-~z$-W2r<IwN6{5Q3&)o&>l1R_@
z-d-4SyPLFC=psPCz_p}=58{S4`gO|zzsR!pddVBJaUnpZ;#{}!J!W*{h49i%t!KQw
zy*YhmKhQiqr*YTLP4-IE72*Bjg-Qj69>k1g=j0gb?gM57{S}IWV4>8O)w}+lWdH#n
z%n^BnTz21t!C>*@Qkb)txrjt6%wC)oV*sQP91A*!D5mp2f1au<N2bh1ui<LvrcaP^
zJ;qf-px_{l)$tq9yK(q|rbwL3c8@j+Yjy|#H3uJqTfcR6F0&61(#+PWq0`8}0lbtr
z(rU1E%NFt@<$PAEkGKqy)U_Sh@TbMqoq2-$2>+`H+t~$>562RebT_alR`c?<qEUm3
zHcS(D`L;|dZWzRseQ(X10$TMa7}tAdqybu&INWlDg-39zltzF;O?&o?Z5tXwpdxSs
z$Vy3#;gR7D`}_K0(qgf5_C=7B%z`2!9#}F!<9zVrV9vz{kBR{w-CBkwKLRm4#k;79
zoVGI<J6Fl&w5CG#Cyw({@icJJC<(}cI=F<<<>RJBTtjtzy<wO%AKww2TtIV;l8-`N
zZA$lb8^EK4^d8GbH_IA^004F*2Go<3ia<YQcU&c4*dl8YJqY6v2LW3ZegzZ~>_KOC
z<t-Uu@=4x;vmo&qHt^p*KP4t69Xwb^=P7ku!XVIbSoMI@w9SDo8b>Vot%P=j^+5u_
zz3qq+Mi~5wA$u&h>o~e3p1aU+$azfRzL<kL!V4!1%oi94`2~ro1~)+V%mPQo<y+}Z
zjc$(K9SMYThWb9*jm<1m9*4BP!sq^P-%yanp+tq{7k7fj7Iy#+uC8FDai{DzP6Wir
z>9hW0rd{Y@i5r2F*)XN0A;-lIN^+l>UUMp#&nc`X`bXEjsOIq18vqtOkA?!yAZO^f
z{F`}r&jutp@NyguCqL)sK?^_^hKI?vCF=($X8<Q}ukje!2tj><fjCp+<Bg4txF|5(
z1`@G;sB&x%yAyyvAs-m|^~(k+z%Z;lecA&{BMdaqJ4AjpU}0fF6$CGR47L!YPe82x
z0OYWcWn(Z#bB{4?_$uA!AK=n6)=^%hxB&;J(6e}4IeOw&3E3#Q;`am7rpMTBn8i<1
zNQlJwiP}}f=f;Vehkly;Ne;()c3uC2nz|udm$NHyw{7h^QYg~!EGH9n0Pa<Tpa^{H
z<Xv6ACqYFfhd?|*PXAF%NK}MsP3=m!l%ttbz{%*zf9&&eNDRYJg9SGukWRnKAgHH+
z)cT+CqqVoU4`RwXo<IuTXI-+PeTinB+c+oL3TVshLL_icWKQHC)eVaCAE%t0bg#kp
zmg}2NpFXdhtrZiF-;q2`fj)8Ck?#UkAc{|gslN1{-S<uI=7Bjh2zNlzG1$ic`ptA&
z24-+;lhqbk_~cpDb+y7}Nne3~B6RM;V>}NvK(a8g4UwWcd~o66iS=_N&<vb7=j@L}
zw_~??4wA0w#7SKr=&RH}AmLO}@tD^Lh)13+jtf?fT#BJa-lY(oyQv{;gm1W)xzlj<
zJ|yKB(XOo`rrk<uMc(MN3+)o9+>!;J=0O(@61q|HtG1`6ax0#ttE^x&d>pJWa+qW0
z>nR%?<>;g^vab97$nB>TQmqSo`=_=oVLViuc(rZ83WCo(t($ta?Ab{n&xL%W)k^GB
z76wZhj@Bb9tECq2CT>~_k2(eJkzu|mAl!LFjoTP+C*k0e>fW+r#3+l9S?{3FEEC@|
z8@}kzOSM>ZENbYq*cFaRyW6@h_ES3tRxTi9{AJ3xcQNx#?9`*33p>CH$?1@P%bu}K
z4AW-+H+M@Nn78HmDAR(Lcv5IyypQ(is%<Ay=L9WuDGiiw2Za>wXg)1_mS3*^um5=8
zD&m0#r(*i|jh`1Q)fhNct~l|$;Bn+829H#FRJd+cf8SE2-dh&Om$zuQvhqn7_MH+5
zRHLkI-s%^h5xb0dm%({y^#G-cd*Zt9I$r4&#JY|E``zh!mOBx;A7U<OF*v=Kc$CMP
zx=Rh1!tUiayiTe$he~h{^KE1#oNt%XJ?!j7On!Y4Dy7ZCklSp;Zhw+>*`b`6i01|i
z3+?>cgSOjdvlFStZi!(YV|2}4TRQ`$I;n;I@@BpAglwpw+3BxqB37QiG5zuWpm1}3
z<2puUV0&JICYQ{)Gpwh2GTI%}<`fNnxZB=Yxru3NTAffWFALqdeVdo4d5_kwR6jZ!
zL#^qkat@u17}hEs`flKqB4C`=&%rpZEz&Eg;`#3y`7f@mU#oW#`Cf81b3XSUD6}*)
z6U`!v4a1BbZ-p+rxXX2QA=`N_8r@ulr!f4QwZTpi#e^M0iz%XqoTF=GHpfIhU#%IN
z0jcXLS%c~$zp^*vD*XzxnK>arxC$%8#;IhiIbSxno)s&!{k3QDn>_@NqHgZ?XPuM8
z9+$~z-~D2@h<8G|p5}MH-DBl*Q*n|uGk^DBvctl5(ft86S@xDL=QWIe=HfZmEh!r)
z#V=MBPKC0GsLxP{US>|0=Fp3j@gBM?`^;lECc-bTJ*YzD-FhX<o9&;P&z;>(FYtRP
zL*!3<Fm@^#=v&ZM@Zw+JR_~kt#?2U0M5l(d*zbJ$CPA2e78HN`G;I^(s29f%E}!;z
zWq*n5%xtR-M1*#7L>=+JJR{f1Po(lGSLp8CseI(as0OiL;`<}P5bxFFpBolix)Tm@
z!U~)nD~1SF(LUvjN~>Qgx}Jr+3bxCRe7@q(&f}M|oT1_Vl{TE}+(hg@OE3RY9xCl$
zc(c-xa-zu~O>eTpr-nk4)Su?s-R<r}2rc)QX*i>>piN+BvGX0rHIhV?ozsNJ5U?pV
zuHv2(?bnj0FD^B=TErKtlxFM{)EA{(Xcx@P0A^a|cu0ugxnW4n+L@<FI7$?si=7@^
zN4N(~`E@_MCq{WZ^)0czyJ;?Y6dJrc>FLf8b{vQp|19+#mm##9QMG<#)Wv1fm%ZO-
z2IjWdYII<BHvKSiaY?)a=6IH$XpBHyqRK;g0dZ>JQIuAt%X9ffz9Ee|Le5R^V#nzT
z6b*@uy^)E9fAq36TBa4kRT8UF5T64AkE%vT>vmZOS|J_?W1$<7d~DeF`O#y2X=z1y
z`NQ`6*bLCA>)d^r5*OD1R})DrH#G^ZHW(6=I={OAlRi%ag=``c%*vp(6_)qFeGV1x
zy|A!}hn>|)vcEO4c;^FokSl_|FhTnGj;+YoMVATe2lw$KH17~Ul9H^bCfMU%+oEPB
zsciO;vJO;kWaw^6iUaO%d{vM-x^y(g9hiUKix>eQ^0;^N^SzO>jw(F(#aoKbkMfq5
zmZbWXu$j>5AnmpWsselhNJ2RRGz5)xfxE%>k`oxqjNc6ML{C(=_$J6NA}vcBHsk>s
zfcP5Y50<6=k}UcS6S2!5_j9GXKLGKDnOgU=792y3hu5{<h;2t-`OHn3cYN*rGuWMa
z5}{QHkRCmfTZ3v5iZHx{<rgb~s>{4VvNk}4Ito41)k{$V3BSS(&9T8Xfj$Y|-UZTF
z3GH7QZK!8qr!@PT<YDi$Sf0eG4kM><Q^F&(TFnkF6{uQIqT)vthgJ$rYrFsLul}@=
ze`(Z-(H2Kkq6t}oUd1Qze{$D1q0+??@&68P=;JfTD9A;N_k~w|_^@R8a)<iIKpDUc
z`AbhE{s2tn<l>SnL(Z`lNja~r{-;2XHll<50i0#`f|DjuLdw=x@a9671hpqh8$_AG
zYi~{sJb3V6hHYIBAVXfnHe|N4!-ReU)ex#UyrXP929U^05j2GrjQ8TH7YKI)u!V0}
z^Wb-&K14_NuDraqre=qflq0HPbj-4dpY(t6+-JC21(+lz&mtw0R62s^$rwZ}K(ePW
zDu9W@x4@7213KEFoWiccvPR$E1n4T^c3!POdosS1ny3M08-?hjkUO_;@3JaiOG+xz
z02DM=yH~N1V?!ZK#Yklo^0qI;Xc9L=LJR>bplnDzI*V#2y=N&}jtz*|Eglw-XLYo+
z9B%a(s5`PzcG+DZd6GyOst9fO=vk2OFt16|fch1<NbRa%4^jAC>2fCL)~#LJhooQ-
zbr!*o(RHVT=S<!C2TtkcjE#xW|K7HVy}H*gpb?)wd!02<k9DX*0dS$D#^;)smxmZ-
z6q@J>;={#2=TZZGM`B@Q?CR=*TrCdazbL>427G`)_)C^`45Ax=ma!7u7nn)@ps>4l
zfpb>gm4ekd*}}U{A0sRdgzqZB76j&mL7&(xqyl8S6vH=u7Q-OORhTz|Ld|EeM4;5`
zAvx3zFL(-(!t@QAO3naS80}$1DV>RhtAey3kX8+}xY)+J71=1H0fr?!0tWaNpipr!
z03C5TxsR`3$J7{-&l8F}gi%t%Lqf<Z7QG{0(45JajjUp?bNr8P@&A9Aqj~KQK5F9B
z|K~_zseL?Zd)SKJUR?(;{wcJ6_;}{r4#@-HMmREw(@Z8HV3GmL{L`ezeo&GNdkpLa
z4lJM*&cX+ou&nG<f+X1WiScm)_8z6!b@>yWJem9mrvnhWketKWskN2r{^`jdCSDOR
zALU&|1;&9FU?MBO@|IO4fcJ$T0heVKM8rztOEP%_Tlx<|?*Ir8%hB5U8Dho=Sb7o;
z27_}pb<B$m5ezCpFf8R`o`+G;*;VX$k$e6S<K8|0Cz(SH6)uV3<qgPo)nftb^+2<{
zq~zD=D4Kn5J!Vn^yuG@)*+e7h*7hyX6%&974Gyoue!4afUfBWSLlZeSGvEWj1#y4H
zRA)>mdHdEH>TdL{wiCs2qyD$Q<F_p>f~^JD4l>LE*B%3+3XKjtu#hPbxDQ6rYX?YA
z+diyGoSjR^IijFDGxo{HwkucPs{Xy(_ptf%J8x^SI+FAB(;7Wao%#ur8jMUB<c+{X
zvax99;li1D&_*722=)H@C~b^>z_fP~f4G024?R948Gfy@gcffw1SUQ6>Z4icaFBG^
z2Lv6{54glkSlaMM7_jupkPe`iX0(DdWKr9YTgZg_mXnfZb}t-^yF%RM)$G-Ce?HM+
zZlD8^QjU?B<-zcoolyA^e@J`<#-krpUz$~B`4s9;KaP&qJ)B)7pK<#G=B#|yM5D3H
zL%$f}{SYP)|L-ttStNSKYBW_uDVp0eO#|1&&R;@mY)WUoAw`GACntAE(iyg6m5p9>
zxE$nC7{0!|ua*1Aeclr%X;+Vv_cgjsTrJQFL;Cpw3mU}^lHze^9^cUfjd86%t{GSZ
z;sC~wV-68*gB}h;T*!|SdS#F}m=LKMmi~XIbvU#P2|AJ(Q*seNr#KUA#HE2gX-=P<
zrMcLvMXt}UmR{hYfGzQ|{f>_v+ehDFc^qmB&b4dzAiWM(MdBkM{*dRq#ys3G>VGF=
z*!LeYhW9{u@N3ON0Bh@q8`S7B4%!!(;?i|m90bhzdE!SK^%7#|pqjS;JWJ9<dI?DF
z#2Fi>br->$idgvS8rZmyLVScb8}X08Dp4Uq83b7cy|;#$bf94e!{&hXj!cZ;U;|ub
z&_@F#A9<Au4lr~6n2@OiHPybn2e|AYEMpkw;9!pp0?eas3yHUiRFDulu!E$nDZh2V
zb=rwN0O23+@`4s6JmaEow+mteaN>}Mjtt|kdSO@*91X5!&_qBw<Z(lzC?X;hyqZ6K
z%FDVtn&aUj`!iwpMy72Ic|y@+neNO_YG+KHo^uehfh*Y4Y(B3y6l=*pypQOO6V4J4
zyY+$~`u$G$<p(dkY8JeLuh;wKF#&P$8{Bu87n)lMT9i@mGIh7^*Ud`O5+zczOOuV?
zGk4D(-^jjhq|TVoEwiNdWY)4M)l&79%@U|HK`VKP1`Md%Wt*))aBR@MZ6bcw+DXU$
zQ<m~(8eeA)JHydOI>vo?rYWrBWj#T3@NVNLvczn+P!$4hHw_bnkKeoF4a*7fHzE%7
z@g0W=W@=8nS<J15RZiBmXWcT_%w;&9<1B1)=8wPHV4KGBK6CKmn_w&E1I*(+KGovH
zO5H8g>&vaQ1xNOH=@Yu<AvU+yF*2oz=^$Z?TT&+p)!Ql+&{kwT<=XCMMj`wH^Qp}b
zHxai5O$2SM77_JU9R`y6mKwQ>AYJbGo<-b@fBxf^_$Q*UErV)%oN`}u|F6=}49CSv
zNm1=F`iirxgkQ|KbBw6mDn|XyfBfsM9-VNnBN#55x+obgnH;)vj!TF${qYAI8pu8j
zy_fQE;XfmXeMAN$?>-C}eBJrhO!;-!;nzX;WDZ{&9b4p(%st~aYf5dK>)5V*j5Ukp
z$<DshoWZmikq2_!Ol>9>A)U+O_r7~2MS<X#Q#aN4hF9lBaeJn=1Ci;zGItIUPbPJk
z+3)rLl45A@7Mc~byDXp(%5Nb2$o2U`(WP>fV8xk;xvAAk1Cjn*Ph6L2ntC6kUAyKY
znK0dAEWfLy-rCfI&>bo}7ge*9rA@NyqOY=;Em7FJq<G60`G5S!My4!6QqH$CTYtUn
zNtl_R2oB9*X$u|H_ifkJC^e7B*`MgLzrt(bk;(U+)JX>c4`QlyreLr$FS*&I%WgkW
zzf||*I-1;Bv3k}}j!ka+;&aa_cvP+|WKK4ua<4nXrR0!i;Ff(de!93gV4H1Nds3C%
z^>LZ9e_YDl;-)jlj&l*ZJ2}lM1^k(mCstpL>&i<_f3-x{6Z^d%j9=)Mol4Ux&b?4h
z@f<Ne$F6l-cuw{g8}HQV$CgJ=ner5yCsy8YBz!0P%q9ZW^Or!6Fm|EAsJ&aaE~enN
z_LehebUp^X<J(C@v5M^QUE}WcKs1<z&-Hw}M}^%#YZ%J<oKgirBQ}Izwmxl_F(4b>
z*eMR>Wjw^VS3<j;_~gYOaTvnKN2t;Mp(ie5cvo;nZS&jezo0H!;qx+L2aj^XR05&%
z==mls9v;f`d#U3~6-VDKC{&d%&iw_<#vq06v~P4Q!PN*Q+GFtfI3XL(io~Bzb@(e$
zunoY7BUIqH<w$sb_~WqNJT*_H>LDkGq`*-D_P6Ho@bdQm_;I*JEPC$fysj2`rHF#n
zM?xYjX&`D)^x}nC8$iqPilPf|+H@2x3DE4Z;bBA#hpK|6C#{gk(n8~igFKwe&2|a?
zDQb0$CqbuZ2hHHuug)k?O+@w5Wgpq1eQF<+g+k8deNQXW=A=qKEQOUOQx$ea6IP5&
zf?*Z4FzE>apsX#^0MvHtDnCSg*;?S8(WvN_>b@!H%sh&T*@;{jWWF{#EHt<<Pbfab
zwFYHD(pHSK!pj~|G>Qi(gSSJ>CvWnvimBc7uD-b`pSb}r(}w%ecjkeJ!wC9vaMr-P
zGxZ*_p3^jd`C3)gcOf|aNvL)m5atytZC<sx2xW+Y_06&l)XYBM8el0L`Jk<c(5sz-
zg5B9t|N7dp&nq^9Gc!lfUjF#<<*1!q3z%>;#07J+9(YISOJGE~ix9l0uM-}z-pDdc
zdPkb=3UYAtqgg(8_G~`Xp(yVW$3cclLRsqLGiM^C_f?ja9QOmuY-u-O)u?9q`sqjD
z8@f6=4BU~Rb^?+%0$jPN&E+Vc**}^@4Gl0x?5H-O=m0n`W}cr5%^Ylg36r%n`jz<_
zQ()r%<f9hmwFieAb7%bvU=ML;MeTI9AXsVJwv`MtMId5fvnTe*$RIyI4{Z+?13-Qh
zSkEy%PeWYqUwrmxaf$MZ3e!wm&ef}j@cc>FKk7vRJ-bsMAfy)7k`NbP6Z8d2h@TH9
ze!yF7!0Qek9iG`*m?52F!M4RWo{vJ+0)@MXy)=7X`*{9VTz-i`XIw-+ztu%B0Tc+-
z^;}$W?(ulA_4nTaKtXLv90B$aZJvCx5ejhvdGwBGk~_E(UT)BbGap0{ftkg=SamCv
zklhFMa%@=C*Ud%fzffZl!n4CVm%wfKPe8Hrt6e+++D1eK7|4k#(Naa{t1=$!5q7lr
z9uw9m<(Q8^p%|mGB6A;>m*mc!%s(OjE|{hoxb|#ld3sz!SC^duTQDkkL{mk3YR+C-
zynH$9{g{}qy}hQ%7fQFg)!EGLjSXm&_d6tRB>rivBh=h5X&G(!<Gk+oGYU6m5L4*z
zK9woHSX<N&yI%1=&=uet_g^~SAFBUwv3B0E=+u5372m(xSX%DFej(?=WASoFMzbOT
zu6S@9O*Vq8;th?n4~a9iKf4+(BrXn?dkUBa1R_Ypm4$ha+en#Kx!}*r9-&!Tbz+ar
zOiv?*am5krXrKfV*~?Iql)Zn?S_RrzeW&kmZ7uzH!&nDL!tKlF`cM<28e!dr8Bu}M
z`XCWO!Nz<q56%(A81%<rU@_vf>k`5gmN0ODVV&5W9figS3(daisj`vLITT}1^CTL}
z(}vg2KY(Xi5qosYPdT7xM$rpzIUoiyVgW&}p`X|OD%?$IXq1tLdiWO2t=J9f@{U=I
zAEpKh%KjY49lGvXG;`^FG}llU&K!JqJafbW!I?{}T)9#wT_1`WgjZ}vd}eL!E@5Hy
z@;!XfCT|V?NV+-kZ?GW|Hm$nlR;bS?Mp*e52J!NPzTu*Dq}WKrsd6Uf9|OmM#(=2`
zCoWc@Z~&R~2u>2`Gqz9;4p#k2y~BT;%1i{9=!A^KxeO#h`yCxcd5`l5Ym5}n5Ug;w
z0*2v^m_)Au=?H$`^sKDwSFe&P6T34DXv5Qg1Z(jQreN)$)+S*!Y<ZkeunvC1RzqY`
zvTMrJR(%Ec<cUf)i8$Xx+fQjA#{haU>$Kd^$`+ZziDFlEId0YKfvO|3xdjD2c=s^C
zeZ@G86IJ)Yp2C+7+{OtXH0-fCU8pQ0FxdhB2S{cFWHfpRxW~?)C(oMxH`d<)L@t=0
zK6bk-8{Gpv{GYIt@`=;_@rm^tRtJ59{sXh$Qo>uKm6xQ^Tk)oX6$RxaaGHboBS1Zo
zm}t)$Kqy$~DXvTNO(1du=<x&H37E6DMMZ+v>sMBbV5$IF7P~9|FNWR$4TTq{OEU1)
z2INmZWH^I0x|j1DCfrM5xPlV;0`&Fo6;rUY2+-t!tww9p>17ZL<5RicH0Xlc?N%8S
z9&*SE6c;~G&Y`NI!2=eXUwdUd;x!QC$A)2>h1c5s%>MCY{Vht)w}E{VOfadu1}+!s
zX^ZX(QgUofkjCme4;6TCU|?1N+VnC}y-a~mNL<hIdpQkd7ClYiGei#vT}mnO+qLEL
z44N{wjh^@2gb>h&TOMxQmqkUE;0A#uqSIWycyUecWjrI`Qs;2-!tn}Z6Q{C=$h}ue
zBdwqi!FkdS=H4YhbV5Gj`vfTj_wF73v8#V%o@aFj%(zg}i#ELu*$b3H7>Gr9k><Ag
zJGByLd8Ycnoy!5`q(OD*Aw@2j2GOQassKTR+cS|vSJ~Lu2w0UMC^?W>O6q%BbB%?A
z$pHbdfup^bJVDgC08sDKBb7f?CwOp5i}1nLJ1j9bo!7bpjcm<5-LW__S8H+!3Gfl<
zW2B)yX?_5)Senli5D+u(Kw-K&=}4G`0)y$!j^qB*i*Nxg3l1BtEJk@$oVrM|arQ7y
zWkf%+BSZTF8H-ydrhvm915^^|+yEjlw<9P>Kiz6&wew%|RtA1I^$!~{`x01X+GEma
zYvvF`kRD^85QG)RtO9P<^ugoB4_;0R2$5SUQK0HFaObp3j&Nt%7|?$BwOvzqUIip#
z-_t++_-p`3B=6T79s;nr0B>As2vjK~(aRr%h{OwC;|*0Xl|&841V2Gv+U)Sv&cE^x
zN2~@@ghS0k67*??VjlQ<Pzlx|V1mq}uUXSB-VF_H09{(EUe{J#-?Ij5?IoCdbgUSP
zlYn)L%=picb%8xbL1%Go4EP2Jk2?L_2x?u<F$hvn$Sn9d*Yu*25q~{%MO!74h9grA
zJ!gR=E9W(f*S;_P`FvM#uxt%kDLJO~n5Ogi{GCJR188XhM*oK2Z@gv^uxyb(JDsI(
zmyq7W{;8w&dA&?!dMsSC1rqPe!=$^U*$%F=dVduXR{R1zlftL6KSG`dc|AF22<`2K
zuBvV$Uu-(q+_Y%ufUh;O98lW7pC9T8oIlV@Ai@0F+ACxn9wId!9k}NXfEBkV%Cqp9
zViv-LUFIi&S4|I|D84q67g8BC(54lGIBDjPmP5USWAnl=_!8QidhTjV#2?~f$N826
z$_I=8e#Gl95URmw+_3cV@o?4IBGe{DGOZ)xo4fk^c}X(ha2_xc9Ia1Z?U&nSg+pAl
zx_e@X3G_V<3efzZOU5w_d5iH)^NUzd@El{#0^ov|lRpv9r*(BP5zeIFO~KoIs0TMR
z`gl3u?7Z^sCv0s?F%;RxW(1C_hK4bmct~?dezB}kTXE(LSQ(UmNL2t#1y~I#J5-2d
z^nGUdu5Q0YkBS;v&SOxWpy~FM@9EvB$i{xOsL%kX!3Sisy7JAJQ<w{+OoO=@zpd>@
zHMj{$=a+<p&rqipjNZ6r`S&j%w9d1;l8-Qf^p@M$WJ4IknrRV`;?>Q670>5qp=*+q
zP1S00=Ev2mw;%Ffd99|c%_Vg5<37M(7{MBRF&J>U@ql0+W;1$RGbdGmc&Q$RIufsB
zfv{~y_rfH9QI}H4cInU0!jBVTESDpHEI}|hl-PLx{84G~DcgKbeeHj1TPk=cmAU50
z9cBfGsL@>#;YTY=KGz>ySsf7-8F0Jcy@>r}iK&LbK9^PQ3e+Zj5r4mT-pT3}{IrY-
zyIJms??r016hud+EM`A$#kqtla<I$sMNgiA=^kSBF)gZk<-5@7X(m}_*7TxsMuBg4
zI%Rr;VajLE{j?aBu=KvyD%mv5D&1EUb<N1>mapKz*0R%Q@`~#C{SSB^phb<feGYw<
zc!{><b#RCE+u==AvmJ9D33BqGzUt}z7c1{q{o}Vau{6n7)iCn2VfDqi#<Hlc)w;?~
z*{5b|G-uUn%QJlA`L<5wo!p_AR5OwH!?aQD_AuRebfQUxR$F{-&)g|BY4(x>$unNN
z&-<25=h?qER~Lw`(VNXHb2{$#uJ%qrW8Ywc4DH*{*Ucd_1B(r)IYBlhPi1Tu)4ruo
zM*IvbxGT@tYQ~v++^^EZc2(f|D|5W}R0@}UnT)G1TdjLKe_5IMN7wVd`J-(<G|e7+
zzE1J{gX>N0vR{w)i?Xl2t2fl`!|ah(l(Dg&y*lCAw17>)!+5KX4~o~hRx|imN6+u0
z=}+@6+Iak&3T?Ek^irAKOv$SF5f!yps=g;$)J>^95#{F3Ro_gqZBKU9-g~h9a{1CP
zgDD$^`~-WreLina-4sisAA0cmX|UV^YGUUvBl<5h7r(6+3V06C-h@jWG&B~!;ro1t
zOaJRF>nEy5+(lnlY-HEHsn1$A8{Qb|`^MzgjrV3==eHi5@hjVLNqg&f&0J7~7VU=K
z#9irolj0D#Gtae@cq<2=O48T(Y#Je?UmbZdU$;r?((KtQ$CdNN1%61Rv&4l;vj?iP
z&7S`lN24_#9ygYDqel0g@ixq4X4jRTv%Y9)>F1mHSvfX-FYR_^f#lTOnON?g8Si%z
z8pju1D}6C=?-0H+cFj-4(-o49_Wy&iHvy}$Z{L5HnG9KFdJJKyOp$rY5Ee3I2x*jA
z5)Gt6GDItLhN2J&p-H3CKt++r&?rTeC{jWi_vbFp`+NWUzyEvhb-c%WIG*RRhWq~B
z*Kl6vd0w#^24}b&`wqw7=(%QXqQd9Tf0n&zcu}e`ZjGd2MXRy|-LbbX8a#WR6S%bd
znEu|fNEPME7B2$>`-}ZYzgI8lbMEs3>9op8slg9b%eEY^bBwEqvz+!UW1ytLAyTa-
zWL5{URduC8Y{BE_AM|!S^%{`Z-rQeJT&`ddtTv~i?q`&SM`v+a_44``c~fLE_cKqY
z-AZWa>vr{)R2r>T|NGJEfbrsqn`<8hZb&<(RXqQGbj^l$UC+ur(@bpG@NWC1MWVDr
z2glg$iYqElEy#!*KIWg<?}UKG%SWVprA_0XOj}*B>iA~cmB=yXoyP56Frv9U|G3{-
zx`~Nv1m>5I(5zRf_U@E~jp*IE45ukQ;7xBaH^+~d&6d325K^G*C`fEqE+#+iKyn5T
zRcG<yVg__<W+Q5=MBjs9PnzoX668K{1s(BWFjaczWy_bd>YkEgB26r#+}G6s5U|5B
z;b0oi&MQ6wlZ7uOB{lHk4W6?`YvF^_|BT;y;am^)cMtN7T%Xd-^(y9tOlI>DisB^!
z+wV(t^K|7uqq}s%OWYN^Phi{#%!-&3mP93@SewxMI0GHaD}jOP&IzBvcw@xPHRs2-
zZ46(vi!uYs{KG9vvqq|`zv#M-<jjkzo!M~^CciAE@c8s6j{PSzwe5mY-8C?>g^f%T
zg~x-jMGx4qjujv0#-!7ZVrRnM>xJ**saF_*mhoZm1P>oB8&>$8a$_O0c)r&DQ;inM
zm8Ntrd}W-0*96$mjIqRi%9I!nXY5@TU7D=FA^|EGb~Wj{)W?o3|EIz(nxQboFK?=j
z`!~+>^gX819-{B%O#xU_*jVKFD|_SE6r||=b%L1-dV3pWd{*{mf}Hs1k%BAuP;!5m
zdo)1ImVIgWp@sqG3so33_od19uvtfQhXgA>RT`NMQ=VU$>0Dh?W2mRc@B+&jc;r(?
zj7X#See=ffX&<<DkoXs{+XL3+-MhcmPj&IVb<2!%f$VsogjHV*WXP4=d&&W0=wS@q
zy5D40Q3p>Six9jw>S&b&WM5a8*+4k$i;m7I?2GWypr2Uz=9(5M9JlBpL%x8^_}kOf
z-3ksql`h_9g7h2NBGzJEUcKpVS~)tGH`v>(Mb-~;9OmeW)N5c_P#3a7HZGEvKe1E2
zqp0t&?Tycdk0HtUP^Uga=4!Kk%pirOM_FA;m|Y)v>ak<nHmH@?wH%lc;1RNea*=5q
z%CQDC+&l~|=WrQfFrt${EuTs^B`jk;f9_ldb}#^20YcHqU8JgoSa1BGs;X+)iWP9G
zH-S^Fne<&)3RNN~u`i^y=-%5y!*=VYO*c6*mUUDqEC_%6<cZ*D^*xbKLc%kJ#W<XE
zR`Kxj3};_=b6>!QK|z$koXSAsI}AcqZ=o)mJv(DEmem-HU4ajcX!M|rp}($0o7ln6
z)9C8I&#GmyG{ej>EJ^$|tAm`}t?Yd!!RsFLESbe@7FA`vYtxmOa5;uKnI5Y(#p$KD
zk5uk!#izG4&PL$*ekKPHF>F6?D$$G|UB>8h8pJF(q~Z<=SOu&Acb$<nrPpxPA}SOB
zEAa~kfxr<%b9Z$&T6h-@&PnZ&C{4Tk+2u@q6&E*6tfH#==;6ckosl?<v3Ptq{o>%k
zb3dj*AlL@gU0**tsyXI2l#!!KV&?n0JYVdD!Sk-s5_aWW)a~J(!eT=IpHtfM3of@1
zqFP$s9ou9)uOG&>9L|!ovntZO(I;G7`b!9BEV^@5g-d|-t+MyD`l_oL+f)Y*3`8%n
zWXVXTZnf#yMzNA_hSc0AYNaq<yLC(AEl4PeUckW!PNY=byakGnus3^$vFl9pDhJvN
zVc{L(*XxrL4B9>Vh?DuOPU%rHV`IC?^utH8B=)89>=ZnewoeGgCwJ0M3HT-b0c`GG
zIpZ`mJpBhw!<7bQ)8k&urWD2QDYSoqmJ@rO<my_cs^S<?YUAKKeb=F+4}aJ~boQ*j
z-W_7XjN0^U%bh$eExQjvq+Zg|QS#*Z^NlVBWzg}RRTBL=JXiH9<E^5i3>NG0EMbrE
z;6>5P;*EOUAMCI7`;k9^=TI2%*8h%Mziu6F4Dr{8i8SZWXsqirqqHwhO2-wMXO`H5
z8+Y%qW?goTHkv{Fy6x+GIj87(<`B5qbSb<E)%yT`aJPR@FdT<~8ypbK)*t^={Xew0
zW&yvuDJkt?CngXNxgxVy>yl0E6$|q7Gp7%Rwab<ha6G^;6DSe%!O|~0z#&fG6)KzW
zk0+*P+B_s~+`N5z8t4``rArrqzYTi2bop`{YwKI%H?$jD_)kV5sY?o4IIwEzteN~e
zBq3V~IT)tn`19t%#BDuol|-g;e<OjXrFuYgwD5LJ2WuIaZhqS;Ms=Ly%0-JTK<n1r
zO1(72Q~LsT?Fg5&*eieidJ%XAab=Lvv6%VK7wVPRw=ASTjxQubm|(vn7T~Wc|1twU
z`_AwPH@6JhJY4QZj~bPA1)WG)eq4S|&Q6+<cx{ZY9<Ou>{5i~a`f8@8fKUG2m+R<Q
zTUlMP-B$F^xT|?M6aACl-=cD~Ukd!Btl7UwXvf;Kk18c2Lzpu{^yc<^u=VM~vlb$4
zr^eEJ?=o0WFz8Pp;l>FdHI?JG1tJwRw&WtMIZ~-s#bIl}pEYYFV&IpQ$75GHO6aX1
z!axW=?58wPZ_LV%5AB)(;J9@@|7|K4oWsTzvZ!&^imK=2;|M>5Hm+JN7lY^yJP9b3
znUS$!em0x+mZu3?i$s}Ny1nZAYFGOT{uA2R{iWoUFHyri2RibPcX+~WDZTio=;E~e
z;*H7JCGc^=i;$3*2)2J>%Y;wlV!W<qC;mXShQ0yx1M6<MG<TBPZXr(nAM2DyD<k&l
zI&JyL6DRWFYPcqET}P!;!z>w3O7pdAPvi9hVS(YwVUr6-JI0-E`QwwYo{T2y%a<?A
zg>nA$`l=I)LlcSaj@72wBT7xS>D!GI#083q3``Vp{hI6Wz_6HT!^1q)=1Z5Fk^}f?
z(%GX!9EHy-+dshw-+%tbC>-LT-K<#;yPND5GY#KUYsW%1u9=|SBhql!*9>hd%U-+%
ze}N`nR}jieBiBA6<}kU(J<@2~&B*Jfxud)IMox?N^D8C8ZA|q@mnq_(fmDw*Fd=lc
zoQ6?j$8M2o^)m(qLk_B<bFOjG%Z_*Vo3&}<40gQs&Hjx2jqTjtaSwBIcOy2ER)R_q
z8C`DT8um}uuCt^ZnL3<L61_6g(t`Mc0>u!G7Q)FI*4H!cIdw__^zD83XRYSH$_%@3
z>9Wz{(dz0Jbm`JAy?d*@AF^|QxHObR=^EJrJ|+$iQmokr_P9OJo5@32PT2hE)BCHd
zKL>y%K`{kj91l`YeQ3o31mQS7cvCUfYQhEl#$Me!|HFK^;F05LtN3&F<eBBSZr#%L
z(|fS;fW=Af)zKa!C8I~b%E_t56r?yNqAwvCx?&9gJRqY`p8(4F8Q;rDPL|0y_U!0=
zo6{`Zr1*Xd&PV82v<d56JUrdnA3+%M<cY+^Jy7vcp)~{m?A9m*9qWJeogTUBSSWb4
zK`*%{tsHC|9UG|H$SAm3whIina^*pxwZ6f+rMB<mzkD%so%J~u(HeCVgiYI$3~lNH
zZS5@pii{^1^HTvRdkd72zSp_Ot;K}9Z(v{Mc3x-4T;=zzM$+=B+-|Z`Am!N9sh70N
z5PM+(*(GG2qd(<l)=CF+1)Bpo`zt|Bc2N*gynsp<7Zi-bQ-sn5S_#`eP+L05Fop5D
zbSW=qb@<YMe=i0eYW<6Bwn}(<yNj(Na|M4-s}(r@D|@rqe)^S5my~w3n}#=HhAs*x
zRS77@1I_V6BQ4)IztK8e%aE0IDWLfK#=4$8`<1gT#w;U!lH6N3k8ZwyTB@n3k)0s7
zp(A5#hSVuAFt+-zlUrDK$4oLw-wBqhPz^%MyLJ0Ep*^1(tz5h3E%EapUD5#iHBjev
zH@r7|?AWu~sV6V6G>DdC-TL)lvBIX2L%$lP&tqxSYl8qEpGwN|;Oz%?jC9)26#g^~
ze^h>6>ejjP<7SNC)*IejbZ*3z7lud9y1OquwjzwrTO<XJzpWn^73Fa@WRf=f2SpOf
zC$&L?eC?M7oxFE>pn4w6lPr61ofQ`A$6Zg|`6Bh+?u(i~rY1B2agv;9`_Z1J{U)+g
zghz#+kK$(&#HWG=<(6A6y(?R9;~&(vZ_g%>YfHynAs1y(nM!Vjkb*PnwkFovt1^62
zQ8{R4zT#QlG)K%W$%?Z)u*KaUb7tzMm&(&uGuoKZCrh&uC{s_@&VJm3*pm2^*X@F4
z*xUbsT#~+Pz+@#0U^S`Fl`A6=OYJN{k9|!09qWGqjtpXc_PTQA`QpjoNa0WSKqw;q
zXQizIi|g67D=Wlp3!ijlnDuzPmvcB)!ydA`Mxc2Ph8k`=<oYxrOUp|36iK(!<Ye?o
zM}|21($k{nh|`zU{wkBSf7>3%5(vjZKVKePab=)459(%9)6Op#|58!6EEK@z*xeKF
zv0&l$<y>TLw>nYCNPPkVo(0o<?AImW@a>0+TeWN%^gFZ_;CE8|4i5RAZTI;1MZuO7
zcf^~o)W$MX4h2VJ&85~?{rxYVI%Q2xM{D)|q{ot(UaMnr-@c{unJ(q=GJk)d_4!fj
zp8z}FHTuT5_u$ms8fQE`LA;i;#s!dGj1kU}4jnrhYWVJudy_1*%Uai{Ett_xoG=0W
z==uHo0+z`Q!cr3=ub)XBCeTkE7EY&aZsY>^-n^NfGj8zU&%{mXM`~WZjsd#R>KOkp
z^!kz+=oK3~)jfq^62(MJNZmSS5V`k1u$(=A{$|0Wr~7bWR)%hj+JHWafu~?^9lo-T
z!NC`~1=dExZ5iCt9L3ShQ9_`wXB^F*rQ=FdSdEeVp&VLbR^L%AdBBkKsnR&EOYRIy
zuaomOCI=LdA->FbXiSH`Pwy3_R6~wh8Mi0(rTMohVzMkt9)q_tI3e<=`R12CU;O_U
zyme`o69fW`;kukVIH;g9VoI{v|D>qt&}{k%`Hd#pqmcVWJx^t5GdB0m+BWmGMmg4#
z&caq6lrcKal3kF|*&tyz&k03oI3M=(e(O%oA3l9rvF&QbBO%?OM6YHb#z*9HapRqt
z^5Xi2{cr!5ADKde8LSDBce+}Q5)Xf*UJ+$c%DDN|qDqr>k+TRB7LvMlE%K=Qhx5cu
zKzn}=Gah`?TrHEPu134g3OD#>kyamCmn4MP_P%`aq^m0g$xE2gIM>YGw{x}J6i&z9
zWjH_J-*XUl8KV<6#!#VW-T5FB4}f&ncgjxX+=*S5=<7%Fa7#Gj)ihfVO&ET?r@Ouc
zib^Yo(=47-p$Pba2TDqI!8BuH6Sbpz&F33lEZ_TpcNFW6NTH^t#BpKY31gq}g#ojk
zdW;<kjf4M&qM8Fhl`Ldu^s@L0ICt!&s-sVCp(F>_rdHvh;ogShYFl3ZhcO~Wy(IX2
zZPI0Xul~*n`b_f0l%`AxZ(8-|xZ^C3dvrb7hwBeueN01M>mZ+;AG2%x$dTnZ{t!#>
z;iQLM3V5I8`8{pO)Trl!xh$fSPK`LTA1*{62}mldDeift&;*Pvm~rg*V$Gm)(LE?X
zU~{;BH0R0y>945|UGfSBii*j{K;V$l!h;^1A=}65Ll#tQ95mOLyE1k_<qzSdIGCrD
zm;X;?Mb!nUJx?nupWMN2m{Q~4&^%aH_9!#c761jNJw|C%S%!Q?1C9H?+74)(E{H^n
z<%hdNoOxDg4bI;1!>b{5$Aqt4n!+;wb{b=0zOiJUmX_&Py_}mTY~|{HbU!E!-EwVM
z3RvZp4HuX8TCN|zXRfQIeO&Az>2{6xtx^`2?^6C_<DUBGs7l5hBMYtQj_<}EoAzd1
zl4IFx!^qQDCe06OV?83MO-fY#$pup9jEWVSHY;6KbD!+-zuRZAbV#PkjsxSwkFBbf
z`bd>V#aW(R^)~1C4#m08lLLR(zN!0Taos*JO4(@Y=y&SxOMiMkcM93~>{@Wknjx9D
zb#zb59<^C<r}T5Rn~}{o%X2cF`5Qz0ZiclJTaBr*_-z$ctROCH=Qzo0_oA7SQ)N#~
zrn${~;vyS;DlT8Gta|43{^G|+Ka?fjK3Q=_)@8^or@*1^366U&?Aajo$v)v#81r<X
zcc<BtYOks(thcYfIp&Ou%-!R0u<_0w3gV>8E#iV*tftt`mr4_c{nRU{2pcF>&RU5L
z;3&z<mj(GXUXP9VfMX_46x<(Pm}vJ#+x1k;ngNlX8ZudI``CU)J$faX+_KfNXmQ6s
zf9a1KN9%%ecgE+J&N0;9C!04U-)pv>#Ljh5?*69*=|A_ajq{7nsCeqPX5_}xALq<H
zYU_2OPVd+Di}$80iep~CSKnb%QMptSwavZ3AuKD!Ll&Bz7gQRz$W77p)Jsp>uX&wc
zB-R^CpZzlaKI>L_JKZw*cQ<D}mnGM~eHlK}{3tqNi`vuqi((f^o!5Lj5;`Q{b$>~U
zQhM2~^@>YA8`jGgU45M?-EQWumXZ^=D!)Z-U(H_)$v;lndS<&l>@2oAtM{#@Ay?6<
z|J|EQr$rZf4O#3eTUf0eQhLsRrhb9XgDH{%-|vnJUmISXl`Y)z(d%@@%Fg1)aVc(b
zDiWQ7X@hp2o+<T7Zpi=YZzeB!;<jy7_UEP6E~Yd3)?eIla;|E-3wM(m63<=#aYp8w
za8LgE{sodzpDq<7MLNxw&dK~St+Q(D!&}2<NdrxOw9oE-rf&Rn=?C|s*cHz&53N~Y
zY`l+TUf**?X-)Q?i&2)w55`Zdi8B0EoE$uDf$IRt!v2n}g3lfZc9B(7y^pz>Hc)cF
zde3+9(m$T&b-yo(V``N8NsfPN>uoFlr_aK^^~Vcu?40al+c!ii9fObN+cs0x3kQqK
z<*GbSTOGA_k^T7g>fG-Muw>s3oOt8NpL@CuoyAGAIJdjo9$QEoYW7!b&FB4o_H!Hd
z@w|d-lv0D|>56()iO!w~zlcX|vM+QHU3PhrlH$^~BrB}j(Z-rwB+{%S=ukq+l5=yT
z!`5!P(S)B6bz(97&oEfIc=5aU?;m7LM`*n%`|{qh4;N<$01&TXSa!ZhPHq&cR{wm(
z!UpR|`Wl+=d`w?9Y)}>BUZXK_V%Uyz|AqpcGT>PdE`fPVfr@6Ir~qV*)rb(U-@Std
zQ>>f&u@*LmKn7vjODFZCq5^c2EL2TjN5>intm@yjt4LN3j7<tOkOvtM6u}2SG;8)3
zanPgirR+Yie?Q8k0Y;aIpcgMXkm|8~+x{)r9^P7BUf!_2D=BcOpoSS?Rn6RwY-hnt
z-d-S8-&nZikFQAcD7rTOEM#y7tMsnqTb&icdRRP>gRr&+4<#1v==e7;lNH8c1Vl-p
z=<4lV09S7g4u<fauU~g#B1lbznKy3;K5tI;@qfARd2(_;Z-D5DlO_R-FP<~!6Ez;~
zi$Eer|NG(Fw>&6T0zg*SqQ%}QJ^Bg*gW(3DzF{r)88qQ>{rm-?M8>X&u&`r?504sQ
zXOWc3x2>tJW-4F(=MSP7pXHL?BiA@#*a&Np8TcYEf&TR6ivionX#PFN&x+{NO0?Ht
zbyujEj5}!~BUoZ0>4^}7?=x#>S#zv}gf@cZ87Z@qST)h#HBaLM%@C-X1l(4a)OIAP
z6(f(oAly7ap>;0Y8LLR6^0RMqbEWgJ3!K<{A(fNMps{0ZNVat0fJWfV5C|b>+g$uY
zu|zRL`XLEZ=#k41b<2xwzU7{897WIV(SS5izkuwiFs_-%^wWrg!gy4(x=Yut7bk8z
zBs<jMA4EZ3V+xni-`Q^8PM@?co2pI_N&&ngsN#!C&R+HQhObY)(*MQp<Mv{4y^7Lj
zW*{y=o81KS48{01BGWm42RROyp{QpZ2@ea~^2DAQ0tX7Zra*`g#tplxMkp&wDNg+S
zo~ESSW^LYG>lrhem&ACUKaXAmN&F;8F{-N90j~LZl9YExSV#F2?wg`3?i`eep4RL^
z{@SK#u;jC7=gvv<xz*zeC-YD-wH8S9OP8)y0h$7iQc_X^lhXh%0J3RyR<J|?2Ei4R
zw+9&vj>lNCQ_nHUc!JaLoH7xrT&CBkO&#lQ4=!&Z3LV;`2`Qbr|Ia62;xHxcTUP?Y
z3P1(BPcOT8e%uz1TepUY-`=&Fxwr}e4YPGcVRg#D;+WA~MI*|zj}HLp9pI@*$AF-N
z@yyHXEV_JgW+SS3+27^x;cA~l&`v$Z;+EQ2K_wSjQ-l}S6&6C<fAXPRmi*wsl_GnT
zc*?6;0k?_j6Lb!6l4BNV`-h^i^WV`+wdtl!ccgfGEPb|?`fb3{6m=&aMCmde9m$~8
zr+;y%7=W2&l)b*G*ekSq8GrycnWvRUb((#J4-o0q0o+XI?@icU<;amESG({rnUk4^
z@k)6~U&6y;b8*hXg}D|7%#$w;9x_BCVbcxpxWQ0>*q})^kDopToPEv1&8&_Q9F^+B
zWvxx+t;>E{Tx{?8<4a(RzA8<zRm%$iCM5PZDkp=Y!{&QqIDz0P8FJupYdk)E{Fs%U
zea*)QZfY%X8E3Pu-;(B{&`nL~fmUDY%ka51SQWrYe$#x#y0!I_mCAU_u_piujh=q5
zfk*STv=kl|{TKh7Ls<8|pryz(;oql^0(`X#J;V|7tor^KJ_Jd@DO0b8bsNQxqD_Jo
zMXg9U_P6QCu<m5brg}~1F{%wvPwDm#k2=C4#`q+|z(3%hvW{TaIPz;rAY^vSu9%{s
zv5UqsES&owtdWAuH=*~!b?bZ}H;1%rAxfLNTC5?2l1*KE_N=B|<*Ip2bIg1Clul$5
zMjWF?j$E>IDf>}5#h>|}EQT1b%VCdnac5;;HU2}0TItieb?G8}EFBm93#8*%A0KJs
z#A@-~JvKIB2M#0<3S5%0O5?W(kb`{=1F_dpo}3@q-}7Stj?tU7sZEwY^y)nC;LsaW
z%?L597KU?WUQkF9io^Q`gqGnN)^qKjaGL=k9d_@g|2ya&rapM^M92Ec!m34H89Q^(
zk1PcDaJkb=6x!xoV`}X8kY-Ca!07y?OZ8Z3?IPTRyL0QItAglpx}maA@N?dYZM{3)
z`0VZp0@=icybh$!RzXO;jP*!Hpo?z9*4zjP$g8|fjPw5+i++ZNg<+G5vuX3ko=(Kd
zLx(bKD&dma^bxuug0#BMIk+~97i&t%T;00x@p5I#WNvMzCW?vaEv&cPg2KbMzSR<m
zaz-@eO-&t1%IlHf%$R2hPqhfRvzxq}XsTb+$hnhq!h6f0HM2?zR;^SN?yZ(-6Z4B9
zE8Wua6)Ql{CXv}RH8l+kda^9dfsFpbzt4cZukGq~jrLpcqOHO4jwLOI>jm{wR(86^
zb#^2o%XjXg)v~OyCfVx)@@8hdh)p}c02Zg0^||~tl5Jr4XQ8}qbdIyy?EEUPsb>^v
znQ;cu_CnVTBs4M-V>(JaCY1|@!7NqCINnL*!CKsd49Teq7_XBk3^jV+Z<<hRnS-EX
zJ7fBFkm&M3KRkQ~4}Odz80OVX6aD*iTGjF|`^HQQ11C1xczdq_kJ+5me0S5cDiYn_
zWjFZ}Z%?FvNJYLe(CGcHDGqXt@^I++pOH+&4z=&o{___bCgUz7gwRlC?*L92o!Zp5
zX{sbdqAD-KSodz-cG}x_>^qh6Y~SyubkCdarWrfx;z9}5PEOA3tDfe6x-CuV8F%*x
zPKNNDf(dW^YN@&G!0&yIbs9J92c%hlOgE^1Sddi|<>YclReWvZ$MKo%40WIix#>;5
z+E+X**X~M&89X0F*PF3DQ|hD2%G}xp+^O8YTsCO*?Yp0EOse}}SKd_`>)O*GuA}d7
zH~VXI{@naBL{bo=wSMC9a42CbTpY)gJ=_I^>LR<kxJF}1>7eDy%73&{sdYNuQ*3oN
zxYkUiP@1^J!L}Vvs<&cyy7%3CDERx_b&qNX6%C)7*!^2bvy1u#)u|hmADn)wK3~PV
z!fd@;-I0cVH+`Z{$*l9w+$p`VdZP5qiVaVL(<e`q9G*~jczsOiQ<>?nFYVQ8-j+6#
zh7K(1>(<eDm8P_3#oLE-bTVIcc5L5q=b`=1OPA<tOXtn2ZO{%da)?)GALHj@D$^II
zbki+XbalOTxaw7Swfw3BQ!lDL4U-iw`BEa^YpFxd`=p#U4`bW-p07V`7PT`jRwPPI
z$<Ln#9?m7kDw>;P@Sl@{l5pCd1yZo$cdt)+dd`<p&8gi(Z=BI7d`i>Qk6WlI_qTX+
z0Ch4uej<H6$hCi;vNlVw3SjB=H>-H3b{s%W!_Eo{rxv$ir?7+-AU#rc?%EZxBk1dr
z1Nn_9TvXLV%_O!KE~<Z@R+^q`%*+fj`x8ec<UY2dm_3laoAPf~K>$l!8`+hqDO*R_
z!M;FBDKV_;ij@EL87rT2r?{W!zVo4f(<N=fs8I?_`?FH|XC6D;Ml!8(JAC^fwg&&p
z_?-{Z)Yxa+$N<Rkpw0z$?EFITR}za~<h&mfM+X3t8y84sVmu4<5l!cP?>LnK0}{~T
zF-2Xv^as@!u(qTtbup8lbUF$u113AL5Ak*r)<6-y$3EAkdbKTE2^LS;2p-B}JGLt#
z*<jw?ZpDXkJK7NzmWAB8gRr#7Iud0!F%KF)vi)232G}2Wa(;zRsbrqE_QlZ~k8`6S
z3Lt4ea%BFD8T-%mTJT@b{9R>vX}qCGR8C&v0#cM4Xq?>9v5C8wa~#qPOK(3F6<JTf
z$?exUPtPOE+RDodxV-)3OP4>A;;7k<oH%jf$dMWfzk@@ei)c)mM0SvyN6=%)0I-;V
zLBo(CA3s*bEkGoa_3+`WyIZJx*z(9rDov!UFEMD>fCh$YiM2^;o@dX(MZN;eOI_xd
z;a<y!HO3<SRjV!^JUA;xURuGIuBuwy7|1Sv{r>aku@ff-N~TSV^U%0G#i4pTNG%vQ
zr%wpS<pr~dvaI1D_(00o#1z5^0G_eqI1;w5?hg7RW_YQ@$fr-EF@B1Ri%afR#qr=P
zbi|10$dO$P9s!tibY222=0E|(nh@3X^zO!b@R9IBpq~QL{f%n~^S47zPJm9Vg#Z^@
zzHHfRbA|tomzgzVdTysO?mMmap_r%U^06%3vDU3q7TU`Y+jq0L*5T37Mhh2yBdMCt
z-zY(=%ZokEU2oO`X=3DNIpG3+eG`O)ZewHP+~FT#-Q@c_n;G8ldS66N#`TQr5C5Bk
z@D|4P`25`itX-H^z+GXme(UDVI|_nXcE^s;T)2-yW`ms_|C5p?);xQZBqw<Nk?82%
zG4ejsBSdh95*pKsrlDm?#;}Z;2to3&yEwXFSX>buq5^BlPhCzhatER1@+iDu=yvd4
zY;#J4Q@%92nC`h0gWiSdRxw?Z?*H#{+^2$j-@bkOnCNJMzEgJ1v!t6yG*zkU>Hsd!
z-q$IqsWw(t46oVWK6!ibNmgL_r&D~&is^1?dIhF)(Me1X?)+0q*>h&{QFLp4Ct530
z60_tpH1tf&riP-_UJ^E4-qbfSHg-TrB00#qw)pr0%C9|eS}p%jajspnhIWa^MY-K|
zE8#bfY)W~WQPcsB7%nhflw!1)BhY%xI`tTFKQ(m={Wg3W*aO1<!F=N<pvn)tdUb#i
z8yL>22rH%LcHmrdytvH%w`VZ2Pn`j$%3z}$P;TcX>>9cZOZVRys8OcZK<SuD;S%im
zTY$Z#`ofN6lf;9^5YbKI3O?^QoZ&=WmbN|B_L}+@50bZUjqMT*gNlq|PJcbm9E#bO
z?#h*WaHQeXLlJ`3PyFDyV4_{Q^;c}$^1#dO)z9K$;dTD}rp=p6K7SrOck;2jG|eaa
z{w<wLInjR3xWM&cVTXkS>%IjKH}l88DZ-w4j7_<J|1$14P%sdpn@4Gg;aP+@U6vjN
zux57Jc?l~+DR|-CP1;d9NN?S69#N|Z)lx)7((Ui#TP^Ge(jmo{E+tstrX>!e0BiLZ
z@mOwVcFWnh&50xu5|IICn3K`|Tt{>$kd#<<!8k)p%A9e-?bth4)%pjI-tEsIDpkQe
zW|Ej<*md%)4X-Z~C{D`RHSto0oIP^}+xv;rrkOCcK<cxuyX|8x40r+!1X~xN^@PMz
zJ3(8gR|gcwry)2`OV7J#@*lc}OQ=w+_O)x@t{qOH+WyY7kM};0NiB;ZIEad_SFZFQ
zYLPZf6e{PRIM9FF>ZFWFwK0AEw!bf-kYv64h4@d{!Z+6g-U1C#y4v%{kC9=iN*?I!
z00bd*Nd>)%z%tsP`2I)R`W=>)#Y<c#nK=CHYA6@$f*XbZmwqVfrO*x3n2^1ZHU7eX
zdtX*}nMduSO~lf`=4;N_@}G2c3=o*B!a)SFfFAaiv8lFpDwQQ7M1OowZ{0eaQW$mj
zZd(uY+`HvGr3{6LnCH=DfR*E*Kxd2chMl7!U>}Un!sXsFthu-Sa|Mq%!<aK}ZmgSx
zIA2E)r1=nL%A8RDUCCjh#}+I;AM&mR5f4a%()fT1<CKkS*DkfFV*|>#s7sJe&^A1n
zXVDxxQzmf$|N9l#kio2L!h{LR3_C%roSa_UScA!9HVaLUpTi1GuKFU&Vo!_Mkz>Xf
zg`4Xi_!bbUwTBPVY4$gT9bsb*gm~CE_h{`I?~~~09O%#V?^>=VobzL6eev}0fDD1n
zpaW$9$c@qP2qHfa1@$*5MHi)ev|p7lf{cuf3Ad3(0hld9Rb{01ByYaOtW){TMfa2B
zz4ZBsqL-f-Cmb_P2ULRS!0WLm29RU|Ug?G*(70G{=&K(K+l~R{;VuF$lwJ9aR_D|l
zI-CKq`#%by$F(Wk3IXuH>GGjR23NXGnWV5}=j_-jvm3QTWyyQGMyRYgb*}97RJ9k=
zZ~Ejt`LJvKoy5StBfK}9Jik0Qr~mzi?@GDr+Z_*A6)!PUjk{3yW7G+gz=D{V9TU6^
z6qfvaXtyUr%UNc(D9<Z#kg2!Y^T0=ERU|8)^{Q97^s%#e(aiIXp<XvFht_A`4el6q
zapq=imt^}{1_un%Z{3LOHs2`j&w^9cE0k_4yx4fX_U)<Go<9bZX*nvo#!PFFzdrJg
zRQe$Q=bG%Y{pxaFQe*Au6EvbWD~MZdJX>+XO;ths*w!NL*zUF_d$vAM7~l7k!VA&p
zEpEn>?i@9#KRRDJ&$_m(ul_%}c_FRVY<}WwPZg_lEp}_7%DVy14Oc{>cWV#*KPU{o
z<7B-p(JWWuk*3xJ9&jB`Hvd~QUL$rL?r;QacjO9{-`>7SO8NvoTi_|kM{q+vNVFkO
z!u_Qp`w*`evZ14M!V3g{CjP#@$yr(F9!^Bg;nDR!&|k0atwm$*0o=|H`%E>n**RlR
z*pXSK!fD89p>$$}o}QhMAbx*iF)V9S>`*<1WeChuLb<`HaKWP(L`NmCtw{Sd0&DoQ
z;XAr~SNaRPL@<+OswVJw9hqp7u%@!gl~km3A_6Lsz_80%Cy;T*Al+l4cKEQI(uv=t
z=cO83$2=qP^Q_>tOdT>ccR62Z^1l?en>RN#eXBYqiFgxjVjK&zXrnU;&@4mHj0g>H
z>P3wRKHJ*5?~ZvJ{%<|!wBj({a9q<H=Jce&XOO6{1oVCS^nJ-Mp!&F_rKOqf`(J3D
zdClEh?A=gF;NZiiv3-eD5w^CO<nOyEKQObTmfjyvq-m!<0a!^{PgDkFt+IZeHFzpe
zBe#!aQ2g@Rk%)-j;1xZ4&bGF$0I#JDhI^x8k*?<6datSncE=ccH09?2mWN{{0%8-f
zWAWEMfB6-iPb95vM;9{v3Qr-K2$Pl+&@<1ttK9$GT4Ee-!(@V;^|d^`e<*iBTVH@Q
zGfEgYs5Ksz;7whJvKU)WE9;j2@QxyFZuTH8wox`fG8FJ3QpURvtqhc!KGE`1z}A1c
z09(?ysWSGe3oFSNPgwutjDUDCwpL^CSYONzlwQ-rs7p~Q*%HYqxFCfM9l9B0m9aF`
zI0_1~pWBE->_&l9&R$;*mtMSTs?8>m=@<?OSQnOG5U(l9sO7Kw_|&pdvovrYK^D=T
z+1DO#)c;;~50V{_?@1Yly4Q=z_+779@tXj}xcL<fdDP&fU4-U0eSP(Gbb_f5=Psmd
z+orpXQ$yGuX3uBJv1o}aLpS&P^Q$>bLZ(l@LW;@f*a8M|2whBhKa!K#*AZ_9|2>C%
zZ39jWFBn$P4)F(#j)`#rNL@|ka!lhBEKy|Q{fu7nXy9JkS>V)G{P<BaCE>rz#=Lm$
zx%`9N+zVed|1`1E!v1Gu`!W?Pd{#vMftyC<m^IG2cPC-nZCpdWhI`7E#C8*VKf}?~
z%#B_W<<6{!1p7oUVHGtsB%U;3-`4(~E>OXrQIhM!BED%eU{gd>XffSPM)}JsbAp@&
zKRsP7A~bZJ3wx|arZVj5rlzMUMXW|uE?lQ7;mGS1kiGnS&AoT9sUh920StE{i2@BQ
z4?>$z2|(B_r2V6VkSX#Rht<0`+`9+ceZz+9WOWGd?M-@$ruuRogPkr9lpofi5og&u
zZpN%x*GP8)&0%xqwd>b|yX*G41)D9y`hiyqvp&k*S8aZ1a@TU-(wP|UiyuCE6kJM?
z=JETb==*d&{f-m+eM@G)+<K*n8lBOyRjYq`^-_F6!ZnHAot;)h*LU0Iat-V;wf<Ri
zW3$5wt~J|>b=>W+T99?<genq{dxBG#`QrNnGjjy0j7W1d^*h_`E5CmqG;CNMu@*n1
zPp!v7SmPoKBZNZMF7%fSch^7zIx-cV_m`f3sN>h|*;5afiLJH^q&%moyEtl5|8KmT
z$x0_=0_^|v;HF_sF+X%V@6Y|7FDzt`>A|;s6QgepCdeZSkFd)bXq%3lWGV4e*=Xfy
zVxzG$#4#6?1aBER%rxpL@^}aphDBR!D)RLe>XBN2`5p@zwKAp$fJgy7WWL<m43or%
zX&D(HWQEN01Z4(L-|5prv&_+@x}gvkBoqgvxjF8wMXHk~?ZmPG%Pn{skTjaA4*)#Y
zxb3bicEuilbDOMyzs>FzYa1J$)vttoVx7C1zU0sGtq5;fnT_pFHM5|DDU`Vsdnj+F
zY6kf`ZW66xF2>71L(cbaIhv!|$vMO<eTan4TwrJ%$RVUa#bB<H&OX?cD`NpV=%rB9
z9M_7go@x4Uehbm=kN+xwP{r~jE-1ITaN$Ch_tJRmtT%VdShr=116qciw-LYcN;f<P
zzwKtpVnG#XYI=a^n3ne+MCo6wh=b9uRnEgM)rvQi=INyF>H2%-oR@7=_QXC_Fp12J
zd?P3B+RaV;!lzK(K%#1DIKiQH`O@^|(!`qq1slg!%4C(=RoO3ROz$J{j+iA?9_>4D
z+R#AOttQy+>T<{IY@u4x&_VA_ZeJZIesRz2g3_V=;SKYPzi(V&{gmY|zemMQkN6NR
z@t^+l;oa>&^bdS-++Z+WdNy57t(QZ{UX>w3?kO%An6SXDZqv%{lAXp+8mf*N)D0Fp
z#2xJW3zC3V@zSBC-UQQYLFO)pRm3;P)UNa}URUbicK7s|xzdKp!m^LMHTF4rcKR^Z
z#n*G|KsSe<v(L(^$CxYLo?UI(w@CGohxE*)7eQrnxeR-Yn%K3%v+}=-B{i$DtF}}Y
z<oVUlwWLza9VRP*-hV#OI^T#Cb@bS=>?s0rA7CbI=zuSLg%%XT_j^l7z`3WUHy4e$
zx}&@?*oZ=>G>MR0swR<yaoNyKNo*m)<h=2L@8>`OW)hRQ>|MDXjmL6p>rrBRJG;<j
zM#DZagQmyev<Mc14<FhrH>5lgv%SESyu>`!+Pdm%_o<Q#F2)9hQPH}QL&mh(?Ib+^
zT7BWg@fz6`?vs9*1MVG+;4E(5HPHI+vZC8?BfS-E>Isg*bZ-n_ow_H&{3!6Gd=s7?
zIu@`+u5H_X-Za2t(EW!cY}&)@2v;|TnA>b^yD#<kaf&-}^U$H$M-p3!zOVip$FB2?
z-o1B^%(mIgObPxH>{_3AG83JUU=v4T@b%4NQb8-skW1+Hin58j(7$k}!%$}<!Ld)D
zK1^6a;qTs^@ZO9G7L_At7TKBT&ZEoR3;dLS0$w?GkuZmQZ^=e8Z7FF1U-6OS#!<VV
zQr~7}h3`z~Z3lQpgyB4)QC>dq_A^@BM*Z2;lt~jOwsWi0py5AvnuqUc(^UBKSG$^D
z{`^itw{rpr+zILyt%H;RAX6SmHTfDrL}vt9`k-s9^&t5UGnzPM%G(z&h_Xu->*(sb
zd3t)DJJ+LIH{B&m`rBQrB}g%=j^6@v3adU|EcK(cG02=(^?#Z-hsAz;{-K;t0OjL$
zG6VgxvlCNX4gg&(gGZ?k+Z(;T<2wP{WTwlBDA${)<KbA)jfa{nL#t-?%}-c{3hk@h
zE*c4aAG8z<cR5yEEIt}<@N3|gmW3>KWMu>US(!)B_Zed<N1`4*`UhPTL0n?-E+six
zAhR>6VACdKK_))jU1)%tshhW1TVJ?%v6b=m)l`;LO$ZPX*XL6@0!a2yQ1JHiGt$+C
z^u8Q5cF0`R-IU}oyy*SZiY6{Vghy46|Bw6S^s5-YnJe3!1il;4RG){6DRE#@DoY^6
z{_2F6`o`x-k5V2#M(RIf>C)3(J>dSKh|kG6yi72qL(wsz_cLgw!gng<Nn)9kKGWy#
zhra<a@`_KzFc;csVNnsw@6LL7M3GSiZ~c!7|DTidgC)pZ{%ihX|JbX8Nb}9!zZd@<
zy(w^xxp_2{!+*{j>`A@t=cg=z*E!ueayTc6QeQ=2<hK8v*XpiOfbx=?w{Gzj6<&ZR
znfZT*&MIp;dP~k2?y@Ax>cb(e!vCJ=7@fM!Ab#XuFk&a~$H4;TCO$z`c$twA5ax0A
zY*%rN{f|dbX)tPfI$KzHVBWfhMqEYy1E+x+U@m1Ku*k4s>n(EP?0+1RQ5>3O@Z9zt
zXMRqrzk5npP*4?kGm;S%BVm&`r<r;KiuL1}%|)j3o9eQYTS;b!g4WNT-CBI`&>;xz
zaRDB}(n1^qK=6nwKz96}1#1yFGWZ(vn77RYVp;D(b2d+5=IYf~&}E%#mB;wjtQ&aK
z>q$%Z4x2DAtL1SSMeo0LolPCK+?P`mx-=3^K8NGz1Oln}LNN48^-zhe5L&nD&jZ6J
zO)=cKmDw;r1ocS#fV}-<KYh7q{#;nQ$bZaRGU7(@DC~AXP|;Wp5*)7DhWwt@Hg1;5
z>F+v!IPaV$ss%9pQ$+350>legQUL0qXhNgL8+`({Vc<QW_Cvd2?V5&fgOMaI$(YIC
z>jW_}BKE?C+_?Im>fs-2m^1J#*RNW&xKYC~7CP{_w-;rv)6?~5ESAhRFvy{5kquH)
zGpBDQ&H>7IQ5)s%<&}TeQ1Mq)`C3Vo!0$iALn=9Z?AZEjw4-C{tVQ?79q2J>dock`
zFyDkzym+xC%@|D&3nM6P!*=Zbmqzt+$k?&z2?+<1J^(|~4PhFjm6t)|N}NO<24>Q+
zLkDGV!2FPdC0R?{I%oeAtIHF-p<VdOi!vtPT1s6-yE_o8;WG;=U_oWssa-pYl&4IQ
zD3qv?pShiP()~Ng@zKG8SRjG?_yGq1@r`tcmHPz}0Mg>cix-pO$azDd7qxUxq3O?}
zjfP}Ya?DA^?Ad97bPqYCXZLeKCr_TlqU!Zd(~rrnlssIZHxT^A5LU)<1-|AAwhpyb
zRuY5Q-G7>t#qZJp6=;omReqXbI{RNlf-f5M;49ikhw_KrPmP(2V+?CGc~l1fZ}=dh
zB+l&)Yim08Q(C9tv^=nH>8K&>>iMqmh3B#nDokyJ3QHy>#xGv6V&mr07MhAoo$&oU
zEF<xT?D(4F(G`)V!Q?@I$GV!;P6rR(`TUKs0Ujp80+qzf2)5XqJ`FO@nimAFy`USA
zTcEem(=f&g<DB#H!`({?3M8h%l>1bS7<ZtvTF*!Y9(FM_{S!&^wY8^kBRB{=$5}(R
zQ%2)pmBJ&!#DB4Y!6d5!DRXQpkv1(`8r`+LLJ$i3*1wIY?+p@J(5A7}w&wpc5PrE)
zaOAMU%$w(SX9;7NkQYC(s^HkYHu|i+a^+NsB%TEwi@p8*nRp{{c1BRco#GX>5JoRW
z2%A{w*(cyTLpo{K$pLdEItzi1p7yqx=1`8YilDRUs5JQ;#q=4(xF6DgpJ>+Yjv)Lo
zRmXfvp=(z`m<|^ovuOZ6;v}rAjZE0dJ6wk@H!aM}JWierf<*usg1tiMWf*7~G!F9s
zftJ`Q-X*Q%-?d6ePiMa1o>B<(fac^qkb7y&cF{=*1R#kwi2^S-|CKR0<Ua}!;0i;-
z8Uk@*@EQO1O?>5-&UJ_0F6P06&CKg`v<rnfAOx*L%-EXB&)X==Jqlq`p*FcG7<Krb
z(=Hos602tKM546m^D;9tX=}Quqt3Erl~BbX<-Y8RZgKbS=yz#UR<JMnQum0({U2{^
zzPoKxc;`Y$ylZQBy9r8Zb`yaP?18z!U*)rbtPpaqXdI<t0UKuX!TfKx-1yg!I=Kx}
zS4XA#9pxa~MMm?((6J&F1V6wcg=5U)6t?xk*KSR~3GJg)Ia=o}vF@OIR6ju`-lk0(
z$>AeM6pyCQoNty{c7L<YVu^RA{WZ1Cs{>|X4q-CBV43!&p;t_P*9|Kwh7K)DUcKAa
z?U+lQ@A%CxUM=tM{nW1@qf<+ntl~+k-u|IWXGm|gUan>+oh|hlWSAUmeRzmeI;t$Z
z)3e<Rq&`U&DHy4wJlAz=Z?gaD<A%WlI!>YID2uJEILv=mQER?hRcsYy`+j5kcA4zz
z%}giH&8H64OY`?g7D;0?j(iI+GBB7cH69kKKklnd8;PV~nz!*rYnS9i>FM<*UC+ox
zte>V@I_HpV-cXIsuJbnUwjMgTBG8~Z{FLmQ^7>fYWiF1dcT8}+x*@=?gSgPmH>5Q6
zwYlWW)!P}82YUv6{-;X26<FK^#(Bft4VNsLE~OCl*I&&Xm4PG-|5&z9t~$Td^lx$&
zZi9qsipN+iesj%x!@*8{vKF@_F<+lGpoQc=BmI`GJM_?$LK<Q~GWLYrF9+mNS5*G(
z6X<v+DD)ar{J;1KDSnQbf2ZZz#p15J5?8hN?%bi-5}AufXYI&tT^<CuJo3D4oj&M=
zU8`O#2S~b=sz~%kDC@Rt>C^qQL%w{-w|m*fmaSTLZ-|qB{Pe>4iO;jADD`+YarDed
z8hM$7X;Q-eJ|76&4~Giv(1Z)*=^eYxMZue~KT@;8Hmcm;Z}E~PFP=RMn3>RA5-)0`
zx~zK*lm*2<Cwqx#`&cvqL1AGk-T-$@Cfiv+?<plqxZu03&Gda+!LEBT>8G=VrX_h0
zyA@HVcN_BEE?Us70(nS3mXy3%Vr6rICxZp!Jhb=_=<2T7V6=BfLZLOL*`wI#M~v>o
zNQ=fEVj98;if{0%qH;T`WXid(r6clndNlHbl9d`C+8^D9_^pibI3{orNCGC?ml^f(
zVa^cpd@Ah<y0IVoTeTmtw~eU@n1z5Y3hV7ieRm@x+gZF!Pp?DICd}D}hDY>PY6K;U
z%?M#(42C5;*~qiwTW)st`%r<daKp!k(J|$!Ep!FrS8y42A_E}@!8D*=7Y3P*4fV8$
zR7v%4i6&`8MRaf7sEjb4H+%M>hzMKi+UwUhAZ(_z(>mzmqYO5Qs*&fGa*ts(L6^A@
zlWg7S2pF-Dp6^9QqJRPVC}~{qDTI20;N70&2Q96(a&k;&SXuYpIubk()h9zzB0#}g
zxkc(M8=M5<O&+37#U6=yHMt_faxZbo1o~2Na0P(hwFW(=e_y|T-NM|^$7dbZg=J+8
zlqa7(TSOnE=n~cepeAE(252ixz6`?V&6#r}<ipO}@5Mspwm0DF_3MuyZ20=h65iKB
zb;EkE+f5;YBXm5K^r786{w6PhP+eZ|kc;1T#ll64pnZcYbvyGqBLgo66mp!3jLgiT
zgT6bSujQ^xo;=y<4X{sRvPt#iufcQLv{kj1{+Fx5!*$1;h7p*Lu_%b{@NyML5d7?o
zUg=cKD`O0*o$c^2nT*CYDr(Y${_N-zjKT$7I$YUnr7cC5U%hW^>@_pRojY5C+)JP!
zE12jHqeVi>!>Oak5awp|CfosxS5ck!?cG~YL>Wc;`kF#%qYtJ2WT*zXWWd#5xiSx~
zCJyS-y!(PO5IGVGBib``OUnSXPMxY?vAdw*4+=_S^gKe^ozC{%w{Kh5tby-P&sU?r
z!j_dY!8*K*=g*<Dt&D!mtqL@Xd`Uq@-#7Qq`Hw|KxP`C{lVid~D*E&Z7nBtyCa5ei
zv99C6)cFPX^0Q?V3-<`M7#MpGF>6?YAWI<a&P-2-3`y0o$;>Qx2HiOf2QurCWo)ll
zP4VxXFcH=O>liK@p%-TMPo7uI-80ae+#{E9d;>Fo&@n)O(yw2+G&Fjd$W9p!a{zgG
z$(mpCVl;-fYulD-23!-=d6SqRf)_gp)kmAwtrcF7*_l3EtJULqfFNjvVF3-K?kG?)
z@)S=4wJ9Tdg7Vz#t|HA(@l8-|K)=C*U5=fke~wQ`DEz2g>yeq3rYQxL+uv;4Hr|V-
zWs#KXKK`n0v*GSTwU+@9Qus>+voM#gY=|7_x@u~D)mn<Ozx|kcY!&@1&V&}!q%TX2
zSD_5p|3YK!#*O27h$JY|hC@)jmM0QTYTxusk3ub+%$kVsaGH*Zc%?+@U*}S|_(n(P
z=I1xi4G!CmaADT3mcqcwr?E@poX}N&$qu<eGeWlxU}|bQNIb>vyJmDO4P({z45Q)h
zF}asKJ%<|YL7dLR$7Wwl(w0=8l<|1cRnLmPP`BEfLs6?v?y^vw+{8A019@8j>W?1n
zAYoJd8@TbFw<nsWp>Yd@^is;R&!m=z688pS>nijd@|$HUa&Wie{J6L=BWW%Kd&s1u
z@hjfbo)#R0+N$8yrC3lLa~j*h!<tw0+-s2(iQ3Nexk0Ekl&4yyK^k#m9OHPcQ!}p3
zx2E76&RFl?W)2&cS8hWw#wY{3UKjEz#J&g!gwhkd>|mK)`=SfGJ}3No%0*&79WfvL
zU^kjgkPfybC<)yh?e`q@OL^V<*LI7U@cw267&i}{VA;Y!*;F8Yq?BxNg_Bsjyr!k7
zxXa%J5k!AGZpIEv%PcO({1UpO-N@6;pZunm5|)JW^T_+)kn|sl9oEzK>d)|au!TUn
zeft=p^+j|20Ox#0O(Px~u{8Zz(cw6HwmA#%ru`58FU=u~%_|M@_TI1JQ#+uQNb^QQ
zWBSz8WrhI6TwynvE*ncm!tm!eIayh>t=oWCI02+KRc{;;f?P_nblp1Z|Fcrq=Xa;2
zXW+s_I_zsFzSzLrKUK9+Ms0t`3FlYm)-6S827iees@xUqlKewMmtp22k<3`v)%G*H
zX4<rBwS`?XxE7Fi{VZYTg0PVjF){2zdoh2&>UQOyK5`JBU7GSH>b{d;0?i~;VLbb&
zuZM<ihX{*=u)p9f<thhO2RfdYmnSJKy~)EQV0ypWHZyoXy49P7IX|v0%ux^R`uB<0
z1i)Qd^owe9TGhK2n*_E78(mUTQjVN~z8d`LX{)8#w5rHa4jnv5v1>v3Q4n%>{J3#)
z)#BQ({Zv(FSM~WxM5AW7kh&p%Hv9q8t%~hu8XI3sy`#QFODmc1fwr@i3K#GVDpxU{
zDa-Hn7QNFx)J!m%+FRPLW5@L;?!C#*K87tRDC4k9c68F5w(ZyvxT&(DLg1)tlto{?
zc~c+%BWM}Dd*^0lAxU6kUrX)ShWZ+zA9JXFosh7W+`|Q<>?tg_<6*_XFPp<dCzhqQ
zouGtmamv%D7p6JFKmW->Ro{SsJpd0>NJ2lx5K<xYWXT8yVYCbIdW5B`RQaS*Rt^e?
zt+6qlH&HZ03y*dby*s-~)aVpOU6q}nKs+UXyqaHv18mT}66TWBMV-AqYcE-11!lbe
zY`RPfi4ZoHJjU#6=HPG}H*dSREixDHADo&6vzMmisc0@}cEP$S157>_=eS?FvKl*a
z+`FJ-IHfS;W><y3pWmdRBSd>w9Gu%YgU{;*-;J@)Il4)-O+2p%(5VEtrm%|l)89eo
zad}<#;%XANQs8-!hw%%sj5K1)3PV&@MAJL9Q*X`%zl#LOZs$&_zHO04*s_wJ@SzR*
z{Ziv%lR+*L9Nb-b`iUwm7_ot~?b?5e=zgzGO&rp7i|B%f8i0`sj1YVKx%txR(;qw+
zUS-$D*8D6HbV%hD5La+GmikzNe+*OGDTwYr4*=dY-+KD{N}L^)5492Xo7t2UIWC&5
zo31&3?AIbMcTVw*MPUQHXTET}V_w?2kHjO?M{CXc@SpCRtJO5Z1I1#8JKuVzD6M?!
zDZ7;E8RR$dlXBd7BSrD@L3$y%@^eaDit|Hoq04XoMOyjudy<-`{<Oog4S`YjgKy0E
z;vyR|zsh*iV@21LU`OfLoyv|er`x-~bV^w?EO50;?>{4@>z3Ibj+>saS5|DVloIK;
zbfEXSpRLslGkxYs4_hyfH?DJgns2cDjh6IuUdf~2q%|(Gh5m)=-wJ~L5JUQ#uhD<d
z|DO8%nufLgt@R(PjGU8^6_hw<`iX-n+DFq}2G!`Fx9nddkrk(WJ;wNC$&hH9pS7#i
z?(9xkUf##0S6co#*<HEXX`_c-%#li$x=lTO-Cy(Fg$L5mJsabPhM7GJcy~uynLVU_
zXZW`O2ic%6SurcVC~rNWD%RGEZ?HTx@x0=T^v#R(f4z>YVE@GFJ?*EI8a^-y$gq9b
zvE2Vf$y5C`UtZpLnRwNz`r#XwpU0%Hmn~1RzE$dIRKI+`$+JSQWxWRslN4OMS9c=z
z)|Zvre?GU_yZmfcL$6C`6<jY!;uI$?pY`70f^FIP-!cDk0a9ILzt1!%ubVmB)pGr}
z88?-xa__AfBwpX`$0ASL4)s>?ugBdAN%X&QSQ@&?R+17dudRRFacYRgCzFsicl<6J
zq&(X6NI|^(dx%L+Y}J^aUu3e^p?U${8e&(E8N*XLt@<(LQ?%ak^!tZp3mrTYtfLF!
zWP<|K9ks77+J9PBTq%Ej*qr!!`%_tQX>RSF^-j-CktW^_s81^TRC`2zj>&16){?@$
zhG$JmeM=u6@Y6mfl@`_-S#0hok?edt;I8;~-T+CTYs=iWyc;ZbZGPj|EH4}BM+Los
zFAp0V_SW87{$u%isZ_2uBxU`?6S7VL;cK%`xHrs_-iTeXHe2!cE=AY#of>vGWL}>i
zfA+vH2K*mh7j#>rG+EYQqpZB4oqPKL=ihQ)WrHHlG}s5fnrpdf{R$h`p>J+q+7&1@
zJks#CtNXGe7F~CbQnBe)S@6NT`?RA|J3Lhk$j!YIvEZZg@oTLd{|x^%VC}28*}-Zx
z!woj9^-opUUnVnFYL)qDYRpfWZ<I&eoS)z3Nw<$zIidWg?B(yd#qMo>4U_F|m0GvJ
z{Nm624g<aKJI>#ud!bH7SJ?TG#$T1VXq2c$qvHi^WM|Sg2op5Y&6_q+kD~7aK7znD
z0k4mcnY(VsM4m_!;3FQ^BskM7R!|!}SbPTVTpl|EunZyaQ9oUVs6Ft|?{NuDxUIg9
zo*rx~(&pLgpZ4w*!S1I1S#fwE(tdDAR7Y!u-scn1TDET03S+g1qVJ;1A^btuD1fj?
zU*8@c1v9}pAi3y@;?Pw>Z~!2qkHVPdS*IVv4mSOuw0YE5(d?bFoXhY{FnU^3zz!zB
z!m-r5&klDK8Eiz3L~N5*Qv0(x_dr*Q43fgn((G+SX#Nc`zg?$J-(LSud#eD~kY4gg
zm+RNA!DCl=0RS2k6EiEE?C@i3tJAKo52^*_?Dp+I&J3-I?p%gd_V$tN9>;+OpufT6
zS0_<m0>mFq;*xUK8+6O23-8srb6QrG9iZ~FwjF7WxwIz-)A=Mg%Xc6A`t?Wk<c%~q
zu|I$QgDbP9=6!7CoZ2IO!u5l|4!?#1?ZUaN`u39M_e-vFt)vuV*4EzYMr8VJ6M9Q<
zx-4-@7B$TsHE#n_xg5>=hwDbvS8U=rO?O5h>OUUFg5*{}z;W=X?Co?@hYq!t^kn<t
zKxylyB5wN@sH?P9bi$PQi*<Do-zG8iFxk1HmX?UJ1g#!*DI5S0e!9Rt*Xqc(!7aO8
zY<_YWULM$8DodC<!ixg3rq@JS1%CMld|-e#(-~p*8<Mbl{_4iuo3`HguH^%CZ$NU)
zQ0eN|#vP<`wP0Gp&9Deaf1ltCZ(KnvcEu1J_z^%Jf&wZ0BFinSjdAJ^abh>0p?nL`
zq?1um)r`bwu30w{Tm5Ay0QRqlxU$%qXYuiCfMa!rn>Pz=@fRX^#r3Ba1n;_a?HWvy
zjLOPNYG4F=zw>rc1^bh3X~7Eo;iuQt)q(p_pYe`>@f1V10|TLGfBp8Y{^MiCO*`Il
zgPB}Nf<r?om$rODFr4}H(IZF`)d%FKb{;G^9kCY;74R9~y-jDJ_!in>Pt>DWWzq1q
zZrKv77XX$m0_6-0&F}oir{#fz^*$tE4i0r(4wiT?!K(=KHkKz+lPuNM4M1Pkp~IOC
znG}$~@dLbZbqs%dqP=Kk1a`}hA3Z7pQW78%0A!&*P*kKO@q)PzuM?>%G7g&^M=b_-
zcqhO}QI`d#YqNAf929x#(KmUV(ZZ>E(-pFFy*wN?mV*7ax6ht!rSOz?>C?xUhqWR=
zQ9&VVf+I2p?*EoIRwB(gl!{3(`4c{ruUWg6HB)07C2a!S!ganga5IgE;5(VUI`-P%
zi?KhzC^8;pYVp+*Qx)>Rl$QEky*g7`F#pN62^i&GmyNfwwH@e9c~4;z8kEmvCSK96
zQ0fy6U_$HmZ7$kA`PZI~V&MX!Kj@x43H~ErMBxR4t?aI?C-wMy=NAhaUu2*z7KN4*
z{EQZB-%m{R;kOoOgTD-T8FH7)0Gh_6h%ytT*TB#)LSii{mQoZlnpF-x>C{$trIFDE
z>cuOr&BTAtvI-VVAx^Y~iE`#=hWo0f897Xkv{O`tGY_8_g3XfU%c;3+EG<oEWr@-v
zafj0Pj_g$`*uuP;K5}2@zjvYE1LI2AkuF{JBCAq=F}m*dWxn|gX%jbJUTN}T9i2%u
z@65vuyN?rXAI_j)+^9ubS||1P#Yj<Cd$XnWzrU8gfkAL0PC+WMXOlh%OSa?FTLKR$
z=dF#iExV-kyg8F>#?92UM#F#et_1nb^FNBxTsX;)fVHGNC6n<2P0oN!pj*tXxqLaT
zU3tvUe{UUHf@fQ=!Wunn5o7rt;XpI-u^uC5tW!LZgzo#C-D%8UBn8%y5{pM@XmcMv
zRGBzYAId)wky`qzO<PggU=SP`wnIRYb8*!ncRa&fh(pVE6lj4mSxRB+Hf?NoocqsN
z?Wd@CniH(>g0KV<I5e8k#^GVlc_6-g{W>gf9IEhj{&%^nSlJwqVGD(nWbh!K!*i@s
z)6r3IPH5M@{g2AZ-F=dpi~4NB*p<Y_4g~?CNJ*wS<)jXqJh}I2qwU=${}S?H+Sn}w
zG8zD&FoJzOR8Ho2C^TtmLV2D*%sRiIT4yXi%iwcyF(j>{y(d=Cr&vPgzI_`6fMpn~
zk<RiR`R`hdh0zUHJJ9&vY$?%{nHIfClwA*6o^DD%THN<k@7M1g;e&oK38n|!b}%Cl
z+pTNYj;6%t>d@2L?AU9e{`cfuhf;yN-~xJ7&@!IUcu!{dL;zR{>UmGn(nd^}ki~jK
z^lkBie-T4En(6(gc)kJoLbeltfXos{kWu+%xfutV?LD4OY=Y)uyQ51#xu(isyFL(~
zJzxoMoWH9qhNo-j;K8uRprsEW-_zQrhE-HnM(_CQfzk?U1ZR>x5&#Zps)vs9X(QU(
z>2Gl|DiD+;by$wyjT;d{64;y>8+w}D!T*k3V_zW7@UN{MuxcyXAtw?AwrGMoxEaZ!
zrr*pT*NHwY@4I`*)F+$r+lIbXZu9+tch;|*hkNTENw=5$3i<UVXu$a%w?h(*PT0Db
z&iUx2=2_>rAiCmH-Y>QCZB-XLxdfaw_X~3=wlcGNb8k{zf{)u!*##|~jE$c<JTBcd
zp!Aya)6J6;7M<;m^^Cr1ij`lDg7|E7Rm+bbU1VlMs{GALn51~e=ij<q)zF|)aJEZZ
zi^8+zhE`cdNq$2mE3uokdiwOw#n;Oemb_YDKlj<lm&%fYiu_8~UQyl$ubL(eJ#_!w
z^y_M_C(q5&*?p>={x#`3-<wZ^ZC}pU^A3u3lT~|^Z(Q}w-)oNac}dkp69>Ho(p{Y@
zR@hamtZOO$6Bzw8xWTx3YE!S&+Hv9;*&##O!heQ&M=rWrIMejc=w(Za9L4ElJ4(Au
z*f=7k+w#{6OE#=lNqKZ}XQD#;+TJqLHDxtwhB_OkOLOMA`5)<R@cowi^pnHX>-IF$
zyza0kGkoc<nr(4&E(V*JYUJ)~^4u1kY}QmT{MW5m_Z$)K1f5=t<TfVN7@$z(GzG0S
zf2i|=qM>)Efo!C*No+0pKIv~0IBFB(0;c9)O9uh-b;@Xb?~_w_6bMJd1X>qV-anKg
zF3Fjh5myVoOh8pA-?3wQW@aEmaPXE=OOe6aoVtY`3j$0&m3GVN)KuqYuSFNVb!*-X
z!RjgGMGZUy<Sa*yAHIEnEn$L{G~-D!+sdF-&BzJg-R=)yjh{$loC?+oM|QfDNkkru
z0}YJ}zal6$KrMh!(WgH<-b!@&L(}(9y9QIsZr3g>Nq}@`&zc46Shh@S-aKf(sNevL
z1W%IDqqkXF3W{-977urAHaCaE83(lqc!MBJ{ELZkpy&g!K6o2`5sXa;BB<k-WDa+~
zeeGJ|yLX+tbUEY21H463Qv}`rO@z7_sO#DJ(MkB0!VmzlO-T4a930mBolv;>8{Y8q
zi)Q4sY3fPh)GkKpU_2xecuyes@SG#YbZjQd8)N4r%$+Wm5O_(i>O+PUSWalD$#1~R
zZ`KfmCW0^A$8x*<ry8%epK!&Z?aH|>@n>JXdWB2}i>_8GLcE(b3t%3yA3G!E<Z4Y+
z1y2EadHMI@5Wt1KDa0!N8p<^f&qfU;cZUg#nx~gn->zM45cDxpn7{k6SJDRu?hfw=
zR2P2dj{WC0)*q9_T=?qhoo-a!xr9H22f!yLIo&{^4m7m{#&fuYL@5_+9kh0@52Imd
z<e7cw_|K@1aG?bzu%924nJLhYKw`+HmW4zm@OLgXWi*<9OglF-J_PHaG=ah|wr^pw
zaN$;BCBI9+NU85&T;MbdT9(WA<Ko-e+CJ!PtcQ*O+#Wj-I9bAMWXjG^Y+0bWP@phz
zdf;oA#ohUzc|uI(D>BpYUV=#p%2?!ezNFS6Ls)o+or2*SoB=FGH9cy@62c;yuh~*K
zN~L}5#E`CSY;0&BAS6+1_@!}Q5$;pWOU@!_I!B-K-jc8>*!B&=eiSm2uwtxbM81nD
z@E?TPu3H1HUIl1pN85S}3oj23gtBpaex|RG+)IA`oNgv=`)3_WT>ZK1w}WpG7-*rZ
zn*qL#!?v=~G#(1X$TB1bSA2b|Udn$oX{cV|;1Gj%FvWK($4lo}(uAd-P(qex?-A`C
z|4&oY-rfq%fw>dY9I=wpaP*&<(L(>B1G?McoF~-6P>ks%73Jk(rI_}hTARGdcw}g0
zZva9qzwhj|b7}blLiX*OH^ncYzDtKVGJ@nBaj1d&c7G0Fqz5t3rI?-JiuQN!BZ8^x
zPa_-t7wP-KsDd#Un*d4SR7#9glyyTQA_jWXP&qm_FzpFXd(Weotys$5)l*Xii6%z_
zcFRq=4w@bU87~fmv=XD(@@lX}DA1h;f3%J)E&N5r_`ZU+qOZmdoa1dNq+Yh%hB4!>
zTXD%(n;lJzn<o-QzyIF0(RI(9d1*C7e+0a&rwHFd8EYO;#6lW6bo_{dgz-Vmub*Gv
zWU`BeAqn@NiADTaW<UDgjt%uM6KT(izI}W4&2D}r8i(>36oM{`<hGY&9FvjJTY`V9
zkk$u!gISOL{i&T8Fi-8p?G@_f{`?Za%Y^0?qJD-=;GAYS3>0B~jSTx(L246jWX~5s
z;WxnZ;-%ElEKN*MwNZ@yFznpBuh-<?jOO~V{s8U-^U-p`ENu~N2YX2ENfc6jV(fOB
zIDI#)EO5H<M7~`+P;z)Vm2{HVT%2W;9x^QqM<Qc_+Wc&$DQtsfuq4nRc^c`?8|^Mo
z>aNTgF?H%5nBPdXX*#*`43&gI*WSJPN_U%BzzGy9S#7h?VQ>xA{R1yw{?0H{Fvg`j
zjok@9F~yz6$(1cIVzCuIo0MrmVk|f(-8NadGT_>^bZakQ1PmPn&8*;|;mQK{YyK04
ziz$2idn50&oY32)D~(L{b*9ql`oT^sk3Q$OvL{dZ`1|a(eMM5x5nzIlt{nwKAmUK_
zVEP0of-X#l<m3#(%$C=*s?z-zD}gHsFq`tBobyK{gSz8mv6-3<_7PKvjT<&FP4$pn
znrt7h8t{K{_8nk3_xu0f2C1x;B*ZQ4VO10gccevo7fESppuKoRLvo{1C?d3nhBls}
zA(V<rLn=vIS{nb?w{m{xe}3nj|8@QE>$%SLJWlHF{(i>${aWu6Mh5#WPPzpGY%XQD
zD}rTope1Z?f(xeN9H#DGf294#7>YnQpY``nLav8q1qlcRJHkNkzdSgAr6>=^22C1}
z00dXO`8tH*4&<p`&~>bJ)dFwx5R1k7!=te9a7bDdsnh_~ObN`Op1?iiQaSyH(y)u3
zKo6l4rKG=qYS#o{b<~B~5?hYrVHY+p&0gOE2426uwKYbH2U!XEf*3`mF|@p469ch9
z9rG~|5r7i}QcEZdYTk@PXa{syl?n<S8|xh0>EJ<}oDlNjg;f`L3Rn<?V5xgXa)|k+
zZQH-$I$$;miXe%Ors@mvy@+N(3Vz@z{C!+{`EDFvd>}Xr2n=M4{|Oz!(}v!rC!l&q
ztFA>v2vTr{hNF(KQo~gNg==6pxH9}JXTP|NOhln8L9~M?#lR};6anuWxK*D9iU3!~
zNi8I#r=ej$&IjP)<XpSg>sj*wZ`S!1aD(Um0|y$u_9FrbL}KC0w%!&usF>hWId-fK
zT09^L*z}MPV9f$a`}hwUB!3)=+p4N6_ubJ*HiKaZjXIzPz!=yCm_9&82)~#f#m$$|
z`U}N8(sHhX3<eGa&H&*Dz+sHr`3KjXKrS@6C+G^mDPjGgr-MEf8;|T3v1H@!#H=7p
zF<Jct)#B7Ci1AL*)Sxpt7Fw<}rM00zMAe)u?>77wMg+X{UrLLB%mL+slI+k?SUAo=
zzJ`PyFceU!W1(i{zD2S$Jk@A@^icvW=+~sZamSz#fe}9S?Aboj`-8aBmX;Q@)h`FW
z!LG6vE*f+#ZjZR{nS3sAzY#!=u_!u>RuOm*<n-p}?uE=BS8ev`;Cc~qg{o==9PXg|
zfLg(IjBkom8ffMtrEJ5Mrs0Ss9gGOH;laK*f1WO)vJR;sIXNqqEO~}WTZ6UzIHmI;
z5k{vn7itRt>kb0vq3s2xC_A#G)N7>r5c*M2?9zzr)7C~;{A*|kp{lRIjmgSv@srpj
zDH$p*{i6Oc=j#e!D+2m4?1sx0Xq3<$tlNT7EJ2Hi*Y%=6*cRsoQMIbrj{f*KfV_?N
zPBJm-M;<c{FeBFB77P<noLmAOiBZZiD=WcUCT92$!$&;n{JNIREF<mYNgISvtg(w}
zFefh*K<G}DFL3eTTHCA(VbO7ffCViNivO{oEFuWQz}H{X8I7K?nTq~tobH8zUDA(5
z?uYrJeYy7pG8=FIUOvUhZA1x@`=!)gFX_#+vbuWw^-F)*#wn}q{f|1>Xn{lWEvelf
zBW8O_Z|$4fylnQVU|>LI)_8JemQDaVsI8Tw-;)nfjTi0uve!N-%Ru+2nn%(BN}g-6
z!n4mc`)_Qn*{<wgc__4ZA2oD6cY2b)%O1AKsKFH?zZ>K&{Z{WTL-*1&%xy9i84$2|
zM8>kAr^n;Vbdc9Jib)`&0J~15vEb0hz~g)oFN2R@?!)<#q76<9^vE9eAhSU(K=EwV
z&(f!Ix4ylj7AEj;0TnNPnRu4$2DgWQ%6Ul(SU#okGDEhff|@y77V|P}(c^1DED;y?
z9&xE)ULNj!=mG;<dC~Q*w{f}^?n9}n1|b1LmwnTA_d`lI$z3^BFSC*@USudIT3vt=
zEir4{zS^3d&B@GIGg^<0EmZVf>QwBJj1&sR^h>ao#N(R*ZetTM(uWR&1w=&;n?1Ph
zY5FU4=Vn#gNe`ZGSI@Y~s{%O)Ya5Tbbt#!kzIsH4?W9bIdBerC;uPh|Z!xPylv$`F
zF{KX-bk#OS1gsk0m1ei%ml5@>W7fJ#>7h?nvCYo>7kt0=+O6%fkWibt@U^NkmH)oh
zNPkQ&RomomGcg;`PSlYNmuEM3ap}?C%e%Z#)Xb5S(;1Js6tr88Nh~gq+My7Ye^6>{
z#d#B1#@Qgnv?WGGmx8@GDKS>O>2D3*Y1;I^zIc=I+q>({4ODGi-O3E(l(lRIhNqCO
zvx<2%>&)mGN}kT{D<>Ot&gu>7hu5`Pa%eDw`tBP)qDpfVyl}*>6c2o)A>nCF2~T>@
z9*XQwnOSLd?@gfrZ_TQXHMmZ8Gwb;j$FQ;auls%b<RUX6Ifq3b>%MFCAqYrzmc8UH
z%L@Y=+Xn~Ci>(8^e$)4Uync~)D!SpZ%#im?=)*ls0~w5R;zmU~S$#IfC!}yMkM<t#
zJtWO0EL4{Bo|$-l`>$ljeN=b%>%QgOH$kYMJ*sNL{Rc`=5QQ{0Ev!XLYjf){&*2Vc
zHn<2+EY8oKmlfbVG<1M4m3nr1^4t*mMzy3nb?2q$H<m&d7dN*9a-=X02}lY=bJ%wP
zDPhfq^aOwpBE!4=;N4&kmo(dJQ!A9sSpfAA%5N~_xFsr=p<E?z8FTYk9NGwf0pE(I
z*yXcIA_D^<oC{Bb2F!rt@-1i(vX!SW!B2K$hQzlj?>U_jVG2~s8n_8iQ87tLZV5>=
zKxlzfRS`*j8Nu?91^~M@Gh6*%D3h~+|G8{w8msAfPAGUl+XH7PIRqs0R5dCp%;ptM
z1*4yLR+ua+-90>9Y_6Cv&fnD;3CKP{)du<U1_}lY;NlNmCkLT?EZ{h_UcfK|f`iGK
z+vqD`0UI)88pItyt;H>eBmyYwVQ0i;3@9GdKU^x%03!9H5K;k3GC9R%uChT@324cE
zux%fiB)|V9Bwo-mDVm=yH8td3{oIK3*OZn{2}?Kd_EK+NzfN(x^BM;p^fyP%jEp>?
zHzF?zC8gDJE@HpGk@g~JXwY7=SHoqB;ifI=Ox02g_j)49CP;gru{%qpUIc75Sda4`
z5lasrJp!La22Iv0A<Kem<;pD>(D`LQA0HojLs-pm-=UunMAVRjxP%1C9RUhZa8lrg
z1DuBT9)f+e`k2cDB7L~}5FhhwO>0nLW-K!yW|-Mc4wVu{Tr|hS2qdUlR;~GxjFKM7
zrJvAJ<2fJ<b5Z9!w30PLH<Wx~;o7Oe4}~3Dk&2awu4WZaAuHmW$jJm~g;S+&p^TyJ
z+xGR#m#yx@78KOhB0}S@={*t5h<vGCY>>0iLRv5?BMcQUhX$B`e3(toB6N4q`PEOL
z1w+UNrtn%Kbr3+Kon7yjFHSI@4}Cm-uWo_iIt)wK9+lpfLZiV~)@RVuP?bp??pk%S
zzUu~l8jTAYr7JcJ#!?`%9&bWF3mpz>2qb7Kf#^U44j@G|ys4ZR|Gr5D8a$Q=^j22_
z5S)!tPQ1nf-MO8P$dIRBYF@;sJ^f%fY8s(bMM_TVB2;yV5X60~Yh+aUD04N)H72Ik
zta%Y7(Vzug2h?d~vezfHi%sDv5Q(5UL@}%{jf_;31*kak+=ehk2By;@FN32b_KWTV
z!?~~d^vk@soe5U)WhdYb{#aCIK{D{bE@;K|?`HSLdEX|0&d;~;*Y<$gWV)@UJT>}D
z6twF&8bA2$@Z|4?hr6KJ24_mi!}b8E45WlKz9D-IRd#f=4*(Eg-DrLQqTqr*{K5Cc
ziLXE|0?WXTx>Y1%Mpt&mO<*P^my)JX57qQO$t}!u;2`|eFVDjx8G?KE+}#Xv<3qR)
zz$tVBUU*t)v~)9oa-)#M*kxY;KVT<-DxlG{yMb+rIqC2-<FUYHhkoUE&CFNlJw1Q4
z0O&BThld}8a{PC)qdN#pmDQ+B?1ae51OaFc&8Cex%>N_K8eOt})^Z>y*ui_WH&W?7
zYCyDdZk?Fktg*$z3d%G*D>PKV`WYX%z5<w3Q?m{1Cqm}q7{&pLfeWL+y-C_q{AGZv
zWn2V$R+4?;8upQ4VT6kvJuxWo2gXxFURS<3q{PCeS~yCeDSHT~bNFTf)ms}{F4|Y2
zq26`rUnryi)u&Lt>0kK!i;}Bqa)XMe6dmDqU;#MrL~~(qq401E8C%(Y;1r;}@Ga8P
zs~lct>muy!z5RT=*6GtJpdis}m71N^LuhPZ*Cg9bR-0^d$-Wv!qOI!uf@TV%NGt;J
zumc^IEm^WMX|$we<n+}G`&A^hv(t1OSxt<gYDJA6v)dii+ZtZpA8l<LOb@|Xb~HCv
zU4K91z;&M1o_N4AEDI;D6%_P#XUXKmw^uv)5SodD0c-Kz!-pizi_NQ&WQhsTEiH)D
z3Df_Aw@5|QotV>NIpMLIR|3GB*36fM7NG!@o<7~q2KVAG09}As$6;T<x5E*I#8Z5$
z*XUgKcf#<&UX9bC6!521y0h+MaZl@W<Xc*4IVbDBb{MV6UiV>sHpJTe#yxa*FHaNB
zE{u2sYKZ0zvgiS5tew5lI^aC)>gX`WkP!eKFK=Tfe#)Q5=mP7nriLFG@13|Z*4w*8
zp}uWCgg|u-IvTXwf!%1Luv)9sSX*&d(7gcUta@kXR)|&q{sNznyGN0iF{s7|_wVnc
z2CouNNKNIw2_L<fN#4x>u)WktYupvpcrqai(t->d)ZjQF<sd?aBoh)Xs8+v{fpdn2
z7~_nLJXt_Yd-u-Z)K1Dcc6!1E->w5SDzpcb;jyuSy2OYQrmuLk;srK^2)sj(66|*n
zTx<beh5^s;0s$TZm4&F3hyWZtWV!~<igV}bh=TNmqf-Za4s9|9tT#M!I)PqmE|sNO
z)U*ooj3Ctq^x~m*9HxM~^1jh=2(H76UpF`~FmkthhGRL}N7%B^bz$)Q$x&r_M2Dj3
zz#tCt0A~XJZn;prT*5XZM=L@~hDHqMEYNmH5sus2C!<Ko&7A;>hm7En7fgI*<%Rbp
z)$v(`qFscvPfbZlNJIpBeyCevawZQ~tIPP-uU^b+F}uKjy+K49lD2DP8b~_FzKQ>I
zMtZvS@klZZCFmwF=d7c%aX6*@9g1Zhb9q{yIEG~yB{SlXj+%>nZCLt8wnFd>cJ1A7
zrfb^tvi_mx1ob8uoM&mdNlFvVH+O%rb2==g@~N?#l;oKExI1yNb$05p=&iD|_xBuQ
z<qv;sbyHca*ikqnKzcg3SS;bf=QEUw3W*!~?n-6{C>5zkS4k9{`yE+QLE%$66UCae
z$hUas!9aVnyw)ct#x6c(|0;h*`d8R~mZ>o=%9{7B`W2J22D_sIR(biJKk2Ra+0B~c
zg)sF3BU|8IYvw=$%~u=VG-s^{^xjr=SLF(1J?l+`i}#rtERxsJR;K>?$oF)uUXC2w
zQ2)>3MOSH$9J9A2-wMdH9u(Zs74cDKFuz@7YLn4Bvljt+I)|twVO9-~zUff;$0$a$
zTk2G0LlH5f=`Aq<&zd<6bQPoivToTTh~nF$FMdSLqubTjee=eG*Ez`lELov{AoWu5
z{eo)&J2J-wpYNQupd@7URAwY(#Zx;nt`~d!j8{~o*1q3)^<<};4)vkVG*fY6!Zr%!
z>n`y_lwpUy+0e$m=2eEw60Rgm)GhCM{bG(y@wlnPbeIZt`yrb&JBA}M0UZIeTtBXS
zG2`cpa10Cx8b4&x)O;a8+jPiEy^=emYi8pP*Y97M1WHdDcT`ArN@*!m?gkG|bem8b
zeLIePd8un0;(vEirO4lh+Rj$%Wbk&zSJCZ<RpMLa&!u3+UK+d*tT*-!+{>&k5DOKQ
zez<qBz^fiHQRg9teyj6kVWa(pUhHx@jNkl9Zrsn66zZ?t^ks0a8J*&r@-<Gm;gMdF
z{)vhG_Uxtv-<h*3PkrTHhGoX^--s+MJ&Og{DZ>i;ZEZYg1nR>HlJv!1=<eyMm=oRr
zi4F90kH_u<J_M)8PSDy=lgzzfpz}t+0j^W_+nCpvv(_HsSGPpmWT@Ig*GMUwnZ;Cg
z+WfO3O2U~S3`V-t=P(%Ph~VZJCV^NLJx~e=)8r6VB{3lt#LQg7NLn1gI0CSz@h>eH
zbNlQeZZsSlTemtvwgP)Z6rvJ&UFnDo91G{le_+=1+&;kc8E^{OcsRIVg3vvB>VxD(
z+;os_!C(gnEwHG_$H{33C0!vj9w;c+%emMA@r0P0o%b|Kec&_gojA%?2_vs+Lo9gc
zyxd%fy?~DcK|>KtP5^>XAMD1FBLmPNI8<tY#AW<*=>Ql+R5&Xa;K{0k1JD42u9IZM
zEzt>Vb}nDR6#l%eOChc&Rj{1+?xY)%#BKob;uC;m-3o%XmU@U&NNT$GBxKmgcmq|<
zCNVNJ1bz!rHaL#}S33cI6AeY)n@ih*zo84nh^TJThFC~{9H6Xud7CT)0p>mElY<WS
zIz)=G!&Ne^X(Ir4@sX3|bG6+6RXz)y`f7^IVXp-pl`t9_KwD@Rai7Akk1{363w0i*
z5Wjza?IcP|ky|nnWWvBdRmJ~7VYP+CX)voixB05tm4!mMs0gaef{pWBg2G1xdShOJ
zskU~>7e`FHoHZ~qVwHy10YyL5-q2u?xqrt2&V3S~xp!g8(1J}T94?VY+`iBQg0jm2
z4X46$m<;)Z4HU?)jGiD8J@4I9fH)2V;RY{X($h3He#4IIF!|K-e~<_Fek@tC<XC7D
zgz)LFD;MpZ?0$eHOXie`<%7d`Es34MoPeN!|A&P}oav~x_F3GeApC%Yb5uh?kE}|u
z^e&XHfJdQ5`2_v~Zw6O#^iHStu;m~Lhu}n|0uOKK34`F#V#$0-WKx2ZFKo?#veHuj
zLWWiraFpoG$$Z3}PO+f1pxFZ*@$Rl1$Wmh+9j?`@h0^O#RWy7UM;8K*LU2I9``TJ#
z>?Cwyt)H)gW@G%0{|h?+qh_s<V-Ebi;wTBV3v~P*ZE`T{TuDb*EQs?>_93?qS-*<Z
zRjXFvdUbYAo|SSy*GW0@5Ni3V$nBQ{fSqDLn>GH0Lch3p7Qf`KwO7XlxVa;sD2IFm
z3?)_%%JnJCQN+JdGx4)wcT(oCz>I_6wlBdJp<58`yiZ4z?O51LrWzWw%a;$~63@tR
zhV||0RrSPt5W6U+*d)=E{!vi{IGAMF)W!JDL?R^?LnqvSTAn%c6YG2I$H&k@X3007
zKa(*@VB<lWAly<{QxirSQUH%(8i>*f?1tpg_xqKz*rA|v(SJY)h$qzMoSVGckRT#2
z%vZbrj^|Qw0HcE^%q=<a;qeNUv|WSL)x5l8(6s}<1%o=<b=v`Ue5m0JbaZeCkn(iv
zQCoZaLbSjXU>>`CrrcPika~c^6rxPXbwJh#@7CZW6h1CE6YN-*FGtkSj=B01+@bvm
zhYOvpQKA?J;cG330c0=}0xQ3N|4Z@gbn4Cg8GObD$e4)Bl?4Y3fZcnzBM_nH7$Nf4
zUw_@a%Rro6&^(mE>2eE=6B`W~_$X`|TaKSR8CNn4(N_31H(%2`+1b+h*1i}^D(s2`
ztSa`Z>5zM{pEWd)@vSKC(7Ub!ad2}FzUQ(97A9eCPNdoTP_()nJUsCaAJ&fUMJ_J?
z)fnuB*X*dsG+jz{uXD$|PT7UNS#0C#a#m3Z37|;ohY!P$h`Mq;W{Tfzh7OMBKTtam
zWMr!3%v(&_J4w!~q|+HqXxw+fO`E>r%~AQM<$7?ci*1}aMjHSArCJv`83UCB^ZX8*
zqh#!So?$`y48CCM`*cQ0DWJ^I38&m2t4LV#*ejsvn&vA29a)7gUWt`?dGHZB17$mB
zNUoswVW*{}kO{)*>i)HQ_sH&gf(;$B-)dfTk}9@i$61KRsF=hogL)dy)*R#37cYSP
zCzwrvOarrmu+xdZSIFbQ!J2@uP2Bid8W3*i9I=XDlEY9iG4?TRT~H(fVvvY{1R>_y
zwL#K<*xAWO3l6TtUEqHkUr`EO1q$5fess7B@vU*9Lqm#jrREGX5LX@^m-_wakpQ|E
z7-iXL2s}e%9RGSdv<d#R835!r{~?9`m%juRgz|@{|G^YO?U4sB10sh#AB;g`p=XZU
z1c<!N(%<Won{drRl<d!%n2_)`M*dw5s&%~B$G9-w9Mf+suQC(&f}hXZiDzDbcYrhi
zmn0Mo!eU~zA3gvl{0ub!?m?<e3y2Z?uHfIi5&nQJjDVxOJP)|MK)ayfmxGyY=q*TP
zq<%ZXAV%UybB+|u#Vh*xRt_Q^+#J$7cJy95z(`y>ys+k?5o1sf7G;OUk%XK#FJ62B
z#UYtokH3xG=mpne4O1H+hu&T>ZwR}jtmzjMZoJ3X<>pF$g5dF+J2voNeoNiX@ZFb`
zOyqhy`omU%>Z&!YFTHW=k8@1dBFuzMcfKjVvpFa@F|fO3`ob!YTYKxSZeFf9yV<zN
zVUh2zS_a>nD>XjH9}+*SY4Wj*-8fg7QsJX3P*A5(%&Ri8P1E82jpaXgW<6Wy`TJda
zH8r#CH>>?XPko=&)J?tFaNF$4{)Zbocdb3w+mbkXCt722Sed;}hMjg{NdD1a=cy+%
zn{4045Qps*R=`8y>vTF%gq_X0;M8p`W$Ien8P6*PFS);o>zxnSnKzZ|-}!790pgu8
zg(Ci)RDLV_=dDpuhp5hZv+`_CM#hDsBRaQ@kCc1IO|Cs*OQ9&9^eIZY6!U%?B{uo-
zc<%aFe+LRB`uX}#d{lC$1nK`;UwLp(+e!@$cd5$y!Lxx%k-yuWEjH9KYA0hbN)>y=
z!0rd!dL|xDU&JN8T;Ab*i-%2WC_!J>V1|!7j>Gq7#QpW39?$}m)Pqk-aW*hZ_8Go+
zNS;14V>h;UY;A$4cc<C@gJ~CMD=KSpY+mzKP~`O&$^TOKPTfz<ac0Wstrq=W)0@-D
z_rZR}k$b<mQS<oeo&PsZgFg?_PZg}^SI3>WJ;iG$P|xmM3wobsSwD%U5P~PLhS{%2
zafQ!kLp1`dQB>@V+xn@g>5S<sc-^0s&qtD!Wt;)hEbdy<)9@SOB}Rw-`JcKW7?Z|H
z#<IT|*;d(}IH58Y%{Pv2;t29vylhSF`}dAGZNhCKRm{PNp!P>d;V60aioKc?B(##V
zDHg9-FJ{_;l%4N#z<oX}DAf86&r#Pl&^Dutoy$CqSl$MK`Q~s)YXtfES60LKiHk(k
zdnpcLY}1IMy@a3Y!VYY_fk{-D1KSvvh)WGjHG4Hgkd1K%a64XFaD5$wC<gi!B;KIp
z#D|2R1C$uh^iD)-IcCjyDgN&F0cwimpC()q5PSg}hvOB+TB=kTif(ocydvi^+cvY2
zKYPBW&3TJz5*>uf`cOe3q(|dL>S=)s4}8wu)Y1XG8)Y`8mvYpCUH+#6u=wf*<Ol(R
z2{?t%40n2J<L-Yh0`YXD7$MoMUSMMTu17{rAP@AXTLETRW5R1YFi7B(5V(P<Ua@>R
zhBdBqxPJTgkAVRPs3v%Mk);_G69e(FDRk`!*+6LyiE+Wzok+kz6j{8^yLUJ&a8!GN
zcL5AlgVF2|5<~6VC{HE)t}cKz4iT7u07PcdB7cx0sI+xYK?`*9q!f<NKsDgX|J~u7
z<$0%f!W{wU%p3v*HciL}-<OB02mm7*fZLE9;q$|IBe})Q#CzJG-?e7J_l(*lq6o!Y
zB8gW1-+K6>eaPp=i-QI!)rAY0V|P%=Ay){sD1a|qAMi$_8$z`qpH{5Zi=Wq75!S~m
z2-*BRF4NZcvfd75%GlVL@8n4Q4mD_a!TXd{Ha9m1K7p?ks8=5^fBv+3>iARvU>cx#
zAbH@)dyHxWbpswJ<iY~5zyA2aQH|m?=JxHTqWh=|R?pXnEfNTfHNTMur^P#j%Qw5W
z-i0&6&26Vqni>VtgTS00h-3Mi9s8|s^>JL2R4OCeuYuNCe5JkTWhBP|o7za$rdZZF
zg$IB%FF>2Bka<%v?^<$qWI+JbZ(l0tu{(aF6Tn*w6xzJG69FuvLql7)Z5tjP4R`y?
z5YNqg_5w+c>#n<K0Y(RQ_S%%nV&CyEm&Fj*Ut{WxH@;<|xMlZD%?GUoY_6&fbE3?d
zX&*mAhEar&0Wy;SPafAVF6Vd}jV*s*kKLy&L)C6%aW;b?75eRArjLE&A!7-{0KtBY
zF~>KD80;za_e?S!ac|SYg?;1G^ckC>@NG>GF>(gYQ2GTh6gVls3Ehp1%=P$XL-D}Y
zK!2o|fc18G?HCS@(9L4v;${;>6sCwEDPDyNElz!1oqg(QAch9}w_Il;uI>6$mLa@7
zjf&d5gq%u+T_QL~Ane{Rsg7JA@OSXv2K2WUOJ+c^kGve!0v*yKjd5-mxS_YS*Z}<m
z1T3{F@7{5+dB#TvKugn@ZiKCIalYnO1*>uE?%j24_N_&Gkf
#<aOfz;HNv89)`
zFp|kRyu77y<cPM=3YCI^b?oev3|(?20_v)LR8l3FB-rYL4YFrXp|04h4~+GJoupkR
z-$k4a7I_4zr-!iN$*i*Gu45!`Yndu+nAcZ$w2X}8u=B8u@HN$+K0SjlkW@^f+5lV}
zcnV@qKJO8lV<KV-AlpDk4=Sw?^#qm^6l*vR!8C%2z~F<w|2|-G2q)10!_MnLn?&#g
zBK0i4;~l19$PA0oh3EjtJ@G0HC08BlCTd4t-*nC6#U*P0t+dmchI{@<-|xJ=|JaWT
zx^OeJLsN!vQ3nkS8puF*hZZr-FWA8l^U7cTn@yNx<Up2yIiyyAS0TMj`fJsn|54l@
z>PUGO6r>Eg3<smqG$JLYA^4&A<KVwAf_m&z-f7BQm6(hWSwQS?{Ig3A{G;A8`X~+(
zd%?uV)78@x6&{|AV+xN62T>|4VYn3VaRSeUx*wzF+tn~Ac(-HQb9@nmexjH!fhHdB
z9pxY>HN?%uVLz6v18)nU3T)pH0D4e9NR>ym2rp4&NQj!}Iu&evoC@T`k76Jr$=w^V
zZP5V2X$_~H^_=1+1dkW??ytSQyP=(f)p(SJi@2w?K%6vzIDz8`uehXCIFCt0r}I~W
zoU^0jPQX|@q)=^6Cfwzq0iiC@>D~-oD_-ovXK|alxSTFcK|@V1FqdbAHTG{r=lD~L
z=cI0B4hSyZJK659nUVRPKX&9wO?cvFe#^ql#Ke!$%Ee}5bW>cqD-=1{CcHm~lDO@u
z`&_}Jv!C*R`b7=TtY{lBYL-rJRNBmc<>XQ>^RhCF+ZC%G@ihIdFK}sM&y93TnM+%L
z3az*#wqo0f$Tg3IAEYne<iBrp^L-_2J;Q;4(1E_adO0cDSAMt`&kUKoo49l4-JXe-
zGjGT4?QUxdbyjrg@41~2qQ$p|EwEf=1>N{q(pUnYsgzWP6kA}&%{#JY&)RB}ij+PV
zgxxouX&BxlX&oY|<9}rEmtLD#%#lw=hgbTQU@qu!8wNtH(u~vCkde@2aM#u2^Ru}4
zV7HO+;G6xG6@)^9q%*t0#Qq9pIt3LYQ`6BmMgiyYTqYfO6)HD#5hEcsnFi<X$$n!z
zIc8Bvw_8bkRYUI-g?8$=E&cPiU9_^(GhgWaT<q<r^`c6w&tv0<tEPNjGk2bJaq3^*
z79*-v!5Tz>!elMgG0DyKry#hTz)--M$a)!>qi-czCb_kj4-}aW3#Y~|H)an^>0eId
z<@8Z9e4EROErlOd0t;lN-~L<~=)@X2Wxuar{mk}OHGYxl6FXd94C(QzpL4HTd8m!A
z=eD<O27{l}?5^L#o9Ip7GPl0Ui&hevDS?7hc#vf``cu4Ui`$53D8K>|IB|I0D2K>m
zre6X7&EQ7Ct11Em8*o%3{T$^T&K5wCFmfTu2H*{@4utP?aFsY>xswO%ZRsl9t|ZAw
zQ{umlx}s-f4>%y`(g83a$DrhP6Qr<TQL>g>Z0oed#R!ukG-QqdRB$xUy~sh|sH&hV
zt`(C<XCox^1RE5Zdz@hSU&MJvK|rtLkepbRy^^hPck00QK`LG&#<)aCAAP#HA{azx
zcc5!{Ar%#5F#04ANF;j{!F>=iFhr^@lLexLvz3H-EBqleMR(VL(-nOd<o8^iWa1J$
zq#|M)=g?r>y}l!(qb<2-9;4&*UyMJ*u>%C5q8iglNKzQ*t^CyBUx;D5Ysbn~UHOWR
z{D^6fM8w3_f^vnDo<(6kk_N??4U#U>)15p#Cegg3?u1mC%u7TKQd~<{fSWP|a|m&W
zpFKNrhBpE!((SHJPNcIH?-pPestc%b@$K(7#^JmqrHQD305rpM0M-g=Z{*;3$T0fx
z0plb?cU#ei`K<t!Zbd{qPED0ZtS6o+s(SR9fa?$nDP>?_faIWD%tV5jLOjPmpqp!c
zZ76Bsuvfg|gQy9VU$_*X7&qa2BPjtwML=+ZyLV5;9W+06>KTer@T*(dVRAlkZgF9&
z*Uyju-})p2Ko#Li{6PsQKGFOFkP^<}+iG5dennKQWPUt1F3r7IEATgv(&X;$Cr_Hw
zjvp{JUGGN{2BZs^9Mym%O*G6m1k}JCAbs&C{;|mwr&3dinDc^IuQf_Qh42>{2pAhl
zQvGGO$$enmkSjw9`BP=tK`6@6hlH8FPEkf`6k@grJUc5WWh)-I?%VB^Vyt<5cj{+n
zJW+}_lntE;5LByNl<^uLWGMtJ5}%yBtPLWWtk0_`v3h^a?~;&AuL)<`r)N$Nv_*7U
z-JlxfB4rx<?1ym$5ynMc?x2q$eT23ck*{Fwg9Klpghjr1MTf@GKUx5cO(L&aRaKAC
zULFn(Ex{p&rfhL}c|O14x`8!#tnAF4R$Ur<yD-eEz9wOO))a2qA%^o|VLE*b8z>%&
zcKXeI1iJye0qtabkEI1%t=<yAxdtpUq{i5Hb_Qa63<V;i!r*P5v!sYYVFOFUD~!fK
zk=@m`ewTAeW#td7_@rq8>cNBb<d{S}6)IY+qG!#8i*d;^D2RlS@I^%@Ha;VCSodVr
zyrJs36;q6^L&`{)ty*+p2XsxqKVI7Q0jWdMm9W?TM$wMTk!St-=v%kkK(?bhBVfAF
z&pZ1a5Ef?g;u-@k<BJXg7qbjTIUo}RmPQmXS)Un)bfxiZu@F(6<4mYe)O!co8U;8C
zi2@iW&#fB9frGjcFgeyf+jF#zm}wNo3sO5B!NUZeA`fICNP5Jq4*U!xafa~8uYdkT
z;{oP38CBYEq<Bc}3`7JX8?6fk*j1%Wo4N$)N<2gjFb;tI?J&eu8BY&83e6Uo&4p4B
zY(}Y3J#t#?Y;BwH(WAY@F^V|VdbdJ65#U}#&&O19x^ySgM?6gkD{_Gvp_)r9+M&K$
z=Cm<H&d!06kqr=YZH0=RMI3A4Dxdt`v)%7WRX@~mK%X_Vv#dV|Y}jxNq8+Ig7A(Rm
zdToLDNjpMUPt$MNzCAHhdY>XrzPR8?;J=&?Twk=d@+n~M6vnFgyFP@)CU{p1OxU&@
zzBmb$?3%LsP?eKbEvx~Q4e-Is*f&}nKdxbHyxV7L9G|4Fl{LO0z}$5xh<jAs2q5jS
z8i2@}X6bA{bP;WCqumm=>co<{Gq3u#fS6cPauE5eWrIuuYm|EQQ-S*#+LMtMXN}*;
zGi#(mjVr(oHUTM>yI`ot2MaVD*;ueyajaXH{NRBW!UhmsqnuBU%fkRx6!@V*L2v<t
z0WU_+2&0i;^u^RR$c_*SgppI9a0Eh8MWz&C{sCO_n1S&oN-7axxVZ#Gryu#4=5C6p
z$2c1)_n+M~*$x0hyU@lSX;$o9(Smv@;<#<9Jh*PWVz?#a5PkLS_IKwnDhcj122$l6
z$9oEo7WW{`M89xo;Eb3b&{z5H9gZ`q|K)FRjmcmnU8L$N9-dssFE3#s0tA!)>>1P&
zh%cvCP*uI+c6%LL^^een3wBfg2_{DbzSK2h8yMsw_fx7eev5O8PqL~&qV7GNEmBfC
z1(W3FO;|=fjx#!rSO2`W2*v^=Ym0~r3r~QjN?zN64~T9AN@zUB#P^ACz2K6ePeV^&
zczQV=%!~QUs0*sd;MFFWv(PbcHBJC!B`#(<=$3@cLiD!C$Z!WjI@BYUh7ZVmZ!yYV
zVHVI7Xt?Q+JgC#Caueg|YKH?62Kwjdt2$v}(eeE|a~pOp>|Im&f5$W93Lwyf;7(1*
z!W~b!zq(u=YJWDOQ;?o>Y(nqcc@quO@4c=#wt1J&uiYA$3#sO~siJm<O#%#3Y{xyE
zkQIwSTg>sUuQR~dkQ!_%Vux+Ls>Tzym&FOYe&V2626Xv3IVL(*kTNOfNE|^W@Q?-p
z8oGO?Hk|CHrlva0jHZT$lQv%yQgFWqG5295nH^t0PD<-!W!Ly2yxjcY9wPRrj*H7E
zBq^nxBY<FpD!|o|gUn<TW>i-q>W>9Ns=9ZJ6sRLnZShdA1t@7@Ru!(#DLB7C8-Tzi
z3l}oW8%}Ldq=-O98x4{Jhgk5dicMc4zQC^>l=A^7lo3A)EpQmrMqFoa->O%eiiE+h
zl85t|oTt^8^#l47+}$x4hKfH!tAmP3OX~xYf`n3E0yRUm@%r^+q&Xpt|C(|f8UP3Y
z$tWco8xaEJOsT*3MmR;`d&YFaAFai{7^jF|6n6#Wu}CV;MDR4*tAAXdix;+rGGY->
zhv2?8MI8kJ73BNSipDkqf<6uz3PdM9@h=z`FP@qD`HqVPjp_p>D1D6HFsC9?Erz_R
zK@v@a2f%EZutYTTWEM6WCl=NM*aKF(C9c7}kB1}5iII96cJ3U<-2i;%J9(N*7(X#K
z0{oB85Id&U$0#7clx|^x+zJn`$GhE&z7iJ>#@v8`-iodogb<c2261DtLO*~LX)G(#
z^aGRN>`<uhv;6$oA7-<%NElI84$>AOL*%v`du|ouZHeRU{tym#6kda1;4rEFCpt!)
z)1cH)+G3wnl1m}UEddvK3%)H@A?DC`palj;hGc()GWRs+kHNiw_&l>2U3Rv*Wee{$
z+TXu)&Leo&a9RRBe7wSRae2kNOL{<4#~LQDhYSdOC%vk01XD)A=@*>xvZ28pP*|OV
z*;n!ciZ}hxim0TymlDtX)4|$aqY&FQBSco_czLM(?=l|Cl3{)ukUN2Hz9hic)(~r-
zqwptR*2Mh#B<~F3f4;Nd{DFk8UG{wLw7{4CqdOqKZFhlV=%TTnofkL!Rt}z3svuUb
z@>a8OXsICHm(^1(ZfH5*<PCNXo?J}v+_+IEcl7C23Bqv4%`xvgdP3|I{+o$4x5_>1
zJ}~$R4p#&jRR0(|Q%>=0?=b1q*(sHnx<nHr$+r`W7i-e0%7v58ic+7-9X6oIo!Ku)
z&;<Ln^ECD+hU-$CI&Ibv12f{((Z8;`5dC}J>YWy=3!gQ8@IajApnZBH;Th~f;a%gd
zcuq0M`?PuNV}WsH^g(|qowd_k@%)4N#QHJ`A^Kxa616s_d4|Rax%%ERx%b(w%J(h(
z_^DGywC1AU6u;J@{?xsfBweE!97m0V%J$|=|2|Jk@Na)`zUHwOgU-6btjGEpCYv~j
zbf>W}+nD_Fzqm^SE{-pbd(;(}bXA+zFC=SfaOGuJJy#|gml@rO6MJal!V-(NjQ^!e
zxgAAY@%*iFi{4smLUrjmx*c2UxEsQFzeeYq1U1L`9I(js>=YKaCxk@9td@1kF)1F2
z5$3Ks`>-PGH@jTm9b2tEM9znfu#Lxk>Bf(DdD_q`OuW#ltF9@pQ|A})QZQdJ=9wB<
zwtnWP1o8S+SA~7QpjGh2an1za)vj)@SJmyE5#2LRx4QcWA>?Kl>l0U}QB@{-r@`h?
z!n&CX?VaqLty&BW>x8BYS2~GY;A}FjTE<=Zd3T@5ud0Mei_-Ln$?iyw)X5Kb+b<q1
zF1qi0r?2r-z{Q;oLd$bmTHAY$dQI~1Ob~WSAyjF>oTIx$hOG2nq|oA(*6s>_V)=#g
zR(UqMUR8WnR{K-X_3PW}6!(l70T!Lra$7Xlg#O#rTjPe>2~J@Ep4N?-0L0@_%z`Kf
z9E;tD=1Ez(r%ibEFVs_;G?0#On)MO3R@4Jq(d3}B1Z*NDPC5@!>oq+%v;q#Ucx{{0
zr~A9Qq)}j?<h8jJ1>he&OL__&!{S;C+rWSs0m+%Ab3JmQG(dkcpUu292-eijVNCtO
z3nd1Q1l)1ru%#oJ#8>ZH7{1Wi#l`2o1db>Y$MN?^P$^yr^!5O%g?~Kz_s{3VHGh-d
zMDbYWG=F2oLu<;kY|RMHP5Sq9Zex9%gJdmfXGe;c;Z1;N4(<bTbP+()R7;{5f$Zb}
zs&FVLG7=<^)sIgFw=U@D9`5LyHyNMfz2TyO;G?Ey7}`hZ?a`lN3RDV4-iC$Mc@D(i
zJ~M)I3Mh1XcD4_`ElR!GO#Xj*TaQ#DDF+8Io(c^lSu3TGqljP<hq@f$IhYJSW3%4|
zw+<vR2_Jy!lNTP|23j3L`t;}V&vah6m~eoiqlq^jhb|u}S)ULN3!5V9JSQieqV|WV
zuK;GEdB>SJ+57Yzd1QtBZM9GrK%p&T_ldypRnm`|xWz;76a<~<5&<4g**x&v3uQ8j
z`oL;WDZIBFw0o<ewQ`Hv1Fwa6as~HR38QSWjT=c4x3#r+F&zinbl*asq=ZBt?m#RR
z<v7h>A&0K4*0|5VVFR!WGz^QMLtuth(jFtH;X3T-;9R}>R%E1b6kth+Jz;zW77}&q
z76i201q2?Y$iyv2g%nr<?n>02q<Jy!5#%pINk+L|DN?l~+*tRJ=V=!#ymD@X8~h-v
zA@!WnXaj@D_;qwvWze75LMVqOoz&kGkneyP5M4u7YtS*{5!gHmM&FHMCJGO8T=AZC
zx(<e$UQ)ua=EV96iwtmCpvNQ(Gm%mMz3w8Fs{L(#V=4Wdf_byO(-Ds{%Rn7gR+tJ&
zLp$g~+@-jBk+4lXL&1tP5*SWaBN2*|^DHiWG|q4z<ZC=Qh$lq$-7s;VJ&%=)JO)gP
zI{`s38Xc&|Hb>X^#)Ct|JQ-rAtZZXLL%g&;R6o$BSEE`-nHI5bDPWPmMdyofY(_Z>
z`TsPEeZxZrt|RL;p4P7E?&yf17iVMu;CX}NTEoQ!uyb?5ziF%zB#yctGlSL%vTamC
zYPYr=$3|ffd?<ZC0iab6YH0$>oLn1wj0{ANLziTfqmEH`n@dr|vCQ9{v@VU$TTfeB
z>RQ`h2uiSY{f(YU<a4(~mmAVpAm-J$(y|C=2;4LT0Go<V^g$>oVO>WN>5FxXZkl|^
zVD5qkVKFU6#^f4@BoBP8xmSNr4>|6jjx-d%EidQUZmEji#7uK33g3l-%OMIHrEC%W
z&D6#kJP8C+?>`RHlVU7N_yiMbAFMk!SrOp^krUdlCM+A&kg)OWl9MBC`*?={0|@w{
zOzTFRvuL+&b^rKbq_2PK`0;d52X*CBWF8FWzo@8GBH*)jqA@VQbn8N$as*-yMG69x
zr7NvJrQPqj+Xq1x<+!bFVxwX$a2jo^3BW=|D75@g+szDDN@g+Z=r}uP0D{IsM|X;M
zbsGbv?t|AQ#eZ~32z!P>>GVf+>PXMR+2&s2-Af>sD%KDYZW}}e*Dp^+E^!_Yt+p0R
z)@Bil7i2FK+O=y(t0d}ZQBjRJ>QVW^#sI+xy00hM%q%RJYyE3*kQ7L-ONk2T9(eh0
z`kBsMoHDF{FY4>IVYj1N$Af`pj~k=gab79kZZ7iXeU5&dUj**%r5j*FwJ1iyXkJiA
zKzHYtITTds=V~4v!1?sxUrRvp&h|Uj=92MFLI;PlZqjI9zJHIrc5OqLGF(A**ov|S
zVq`0qO2euL_5><8;Of=ITM#P*ob$lBne2~LL;)#jdqn&Wu6X-)ba+_SccuV}c91+!
zpw#UENxkYwTOuT3R&a5lm4y(~Mtdkz9^dxT0=U!xe-XYT4k{pxjg^(QSP0}{Y_E&1
zhULO8bf!3EwJYKMz=$~d=QTAMXnC`YRj^QteWoGZ-^_j(*a9RvlcT6@;}evPjClPJ
zv;k7lmWK;S&ENAM=OY$oW`K?)4-G2lGtNQO#7O<F#H9iX>fXIJ+#^6f@tdy-;W|@U
zycDM_Zl0Ew76fpd!Wu$|92zyWS(u|G`Y0bh{sBb%iH_tUlBwN)wB7w2flv@!Qxtnd
z!N8YWgJT7M9gGtr3D2$)H@qWzPFd<Y`i`Io@N$Lj3#YX<SQQwn%#f3SfE*B=XiIQ_
zt*Rr5erT-t0D`J4>%#891QBiVRIn?ED8W@{qk{t+)S2;pN02r_q~(EY?D@BE-}o@8
z<{`KlyhN9sK-YtDK~MHgVROp=e>ENbwWSbH;IJ+O%!!Pq+lVt5`K|@lKc~f`64Pza
z-lAJ`i?>Cu%D2#wzj~UMc1!jgnJJRkx|yGRJ**Ky$0U{N9vTpER2&Wq&Zq6g*Oa++
zxG-|Fr`T&Imy9a3(ZCyBYPRVR>U_NZQ>kChDzBW`X1eb3N((dVp&QqOiKVP5l|Ky|
zi9vp?=&Upbzu3pacE{HfH#sYxDlU2_rt*;>l!HX-!^7wm9)u6u4eLOp;Qgq+_F#0C
z8WXYUr&YL^l+X&9pT#DethAosJ7N>diNg#{!<!?@IexvND@!rs+!Yw|Yx|eL=gyUU
z?<<rSRgC>bNqZ^S+4N-g&3d<}vDRfw_w)uLU+IQ)GN&Io+fjA;WImmcMA+qz!{v{x
zM*Z{+T@rR1X%o*yAI6uhTjG_pcIx7wG*Q1o^_q<Ij)?&QVoSQ0fMMxDo$)riDEjAx
zD#J;+;>68x->XMrh-;tJ{R|gv{zjZS+`$(TogF+mnvws4u#D~&$f&&Zjd=F^;f=C2
zDtz=?B*(Q{8fzCTM5-QfXTDKi!SRCQ7qMG7{pRIV&-{WwX}_@Ia@XD$tq#JjD~!ga
z3D)miv|mvM4~;#K<+2eS<)JL8ijx&tP26XRV{xLbeVdBI=s%4fS@G-k9V0IT{wu>A
z1Se0q{D;~Lx`gVvf#9UTk&S)@?4q<f8YjxUx3ojsHmy(?*JPr3U;D;*Y`EsYa2j{n
ziUhml9O71ZS*W|yu{++MG&&mfTm5R*b9nx?3!36>ELU%qJ8vQUqcbqcj$q$3p&_o~
zV_YO*LX=6i#*}V;XA##(uy~fW3MNIkE%Boo`dIXI(_j0frVCq<XlM*^%Gw1M>$RWU
zBZ;HNK5o3X=>4v0cPM98A%lGP&5z-nbV?t*^*WMRd}bXYoZ0_cQG00E=a@xYXR&v)
znOf@08aJBI4Qqz?)gqh?pW7D`4-F?Mo_h+}2+yZpokhPM4xbpdiJDrSwymD-SV{zc
zM*NW|!g1SnKf{cXS)%iC((op)0rm;oJ0Z^R=$}27J8E&HwSqnHMMx;!@OF`-KBuc?
zXjZ||gx~4H;YNA|A9}iqcj-YKcklgvBU5QRx_#h%|KQari=w30)`V$mgHE0}Q+WAo
zR7d3+Vtj01_{bE5p6-uKe3l>e(Pg~;(}dVjGjU*7LB?biRsBc#0YWc$G9c;3gd(At
z{5EXyy$$Mr5nh&YLJ^02PSPnHqRa|OKFXy(mB_t0RXUyVnhF1`=f<LJ))f_-B0u)6
z^?Ph-uc#{@xBJ-ddZNIxEOhiq>Koz|*TcZ1kMzQvzLG?0s(9^1ahGG3htJTs9>14*
z-NB^a^FWYTHM#d%j_%YxVNso=CC}5&C(~WA_ffSd9{(jyaI<&#UMab+V=UnNG-{Uw
z!>ycDTG?A3?WOmg6x1t;@+g0^U~73fJsjAeey1SOIOUW;D+BukZ}s2~CW0kHF{LbX
zGtqqg(6FJ?%~fH1cN*de{`%Rwp?A^X&qKrizS9rM#PJzuC?WCA-LbchjHSh31E8Bo
z!#NFr+Z?&Idaa`3;`RuW7%2F86^$3DFBB&X^z^uoG_1d(IDFE|_0D7+8|`45=Um0!
zeG)1uvI(j-#T2+TxD`;K#&*oJ{kT!IVC6=}Nzaah6iUd#8E9z)u#yZnH$=ZP)$><8
zpsauJUzwBPVCGQgpmN?WEsa5qr*Tvx0w1swFCx8Q3Ijm^i^Vzg9yLWc{CjKTZ`inl
zDAQpL4A`-J0oh7MwT({Ycm9JXcc50rMFzeF8Z<gP@b<Y3<M4@WlaxGyaZ8ZP>)1uW
zU5;;vuR#?djq@3DARB9)VWCrqN;hjV*+<p(^jbXEw3@E^M-Ori%_K>fU~ok87EX8u
zmb0+XJI>=~_3lsp=W1!O*cK@U5D6bGC@nCNn(?*3u`o;ve}daw)1D8-5={xF5QaA7
zm;!gp&dHJ4vIVs<qDoP6b5@~q00;4}tkLgNk{AqaXvoqAC|E1G4^tbIrXa@1GOiBp
z2WRz>&fz{u6M5VqB^n_7G$ioEWWhH8F()fn-`N?I=6a1=MMP|1W`U51;yE7=4~|m7
zcpA;!UZ1IFu|p`Ouwd}sVZcjkq~1nq20Q*MAqygF%6&`S3HV@;0fgo~uytL6jqcax
z{nQbeb}o`wj+Kc-sQ@7KW0JuckYiBP!rucapceo<al=fEW`Ob15vF|`G>e&JF8s;L
za0qtbq5)0_qXdCw#UEW3DBP`ZF9PcXVhWZIQTMJOLeYu?$J72^lkg600RPR$_w<f(
znqtOeP5-}XUVfqR)@{tN%m?W?P`c2e^x<=d*MW-#SOY#~x~2I2A*HL(!7qt|ay<}#
z6i_6W1|R^`jCS`72u<|lP^IfTvB@C~8lWGz(I$stc<Muff>5=v>!6Oy&dNenZcB<G
zsU?6JZ41O53V(%DDYSA6G@W;MSZn$lmOdCj2ai%oR+ej4G;w#2gop@6?2)Yw9Jpy1
z+!9EQ{rs=*8R%<Y?Eax=ZaRp*M-VTu7M7u!#b9F9{Egm2;6?|jD42Png98^p1;Gd7
z2lmX+js+qnu*h_67!Z`;7~=)AI^5(q;XfNI8lriqtQ6g`0|8k-$+TkNwZP(wz)3-s
zML<AqmUe8P6oXs;>5Y_0-k~{dLG|qcG;pjdR>&ib2(=s1-Bbk*OspQqFP_kc-T}eP
zqMYzo8uNp7OKgmTtP+opOd=3J08+>rtrDUiNRA2UH)M0I&!4xUb_32^=r$C4{ycOu
zbVTRJvRylOYP-qZefsn#$(uoK4Iv~xL~%^7ZZ8Q$!Sy69g}WIXv9IJpS=WTB7F>2h
z0xZlt_;{j(+u?!GVa2Ed{V&mHh=1yWf~wEiBb4+cHUQ`^Fak?qHGbE^3dSGyW2mw6
zvDn+K-KC(e%|@0EIdvRC4WxJg2P&tIRMXrKZrM)~6C(oTR6Q_25J-aWz{({}HweIs
zR28^U9xh?R0;e%GE28IXXI&B(ce?F&P@1YrO1EH0#Tx`~49NicW_;d!JUqfFgP=y0
zevSDndoOfQ_l!-SlACPo&nDA_M+?#;Kg=x@GV@)<Ibi3x3~Lgh%#ZeiONw;c(o$8G
z990=_R$QbcB)>g17dv3)^}-Y6{ejP$vQfY?u?_His`Q;kAnEs>JuO6gQP=B?p?tKX
zS2~7X^{t{zw$7jB)x4te@@D+n4oiGtW+Ul<icJZ-B2}|3%Gn8+@3Hq1EmPCdw$L1%
zoHRI#FcLjr=J7mWJ@SfFMJV;Q7MtZ3WM+<FguAeW#EjepkE@WC)<q5iT|gfSO45nI
z>5eur+Bvy>dXS5H=uq(1VjMNYik@np@qxF^OF|sdFar<tTPp;~D6kPr$mcb99vQ0W
zw#fD!E@|`|1s5XXOb|r1Y14s+Xu8GO(Vzq+wvx&z7nh(>d|YTSp!Do%%t}OyMWy6o
zLExG!x!Z@+GZHzt{yNxD*hSz8G0)*X1Q|dH&`05PfKDRymi7P|JKSBmnZD~>SlKj|
z{rP>bE5`vzz?<5quKxC+^~Jl7|7Za)@mwwH;ghIsCxeocNq*MMWhtJ&{Or^j|Cbms
zC{%;{2r-iB&h`K@K_!p~oUss1i5#W_qqH(chJnO`9!;n6M_nTK+O@p{1F6R2vc0$h
z*0hO_kUfJ#25v!eQX0llKxHZthJn+^VALSnEZoSg>kK>5ynzhv`1b81=v$Z=&?|w=
z0nS7YCBvpj99iaqrY90v*l<h1Zh@OSPBR`f6D~1)xMwk+s*{hEbI0kNm2Br1i0WFb
zdhAe>yWuzmNmZ*(CAnd6183|%jw}(p;wqh-oi%?(jiGem7D)|4%S?)K)}7NUMQ@KF
zDF6Bk+~lK9WiXu+evtk5KT#ZhAIDZrCR#5i3=PYlUh>Z&rY7}~wC<y;M|Y3^kg2#7
zK`>}_Zg#5*Yi;M62wOzlO}b5yGe4t6TQdEU#qaoANGQBF5nHlvTCqCA4W-agBes}6
z&BOVqMX_8f&-2Xs*VOE?ggr#_6u*1xOF^O_T*%b1X3g`_MeC>s)32!}XA^Jwo+^%>
z_mL--WgRL18e_oN_MCpx#I`k&4A1n&Q--A*jqY#;y2~3d=#QViQ}D8EEzuKM`4k<D
zLXnqZnR=L@auD6;8XghnWg(~O%Oq_0Q>E|=$>t4bZ#zK9o)jK7G+`j*C9}e;_yp(_
z4C2d@2l$wXt}3caug7+xTv&kOc}#b?U+^GXL-yj~oaBDB{zb<Ijkr52-&8WT{Tk>R
zHdV=_TbnED8<=?c!0rS!nXyZ|Pj<y-Z!Fj!Mc+NB?q1Z*?B^l-onmEr7F|-{UuEIt
znRFJbD$EqOpO{v|j~M=2bIf|HpJ!>ZqRaSa6$;z0Fdjc&kFv*KrVDa-{C-6CDb~l1
zZ17V({Cjwbgz#lo(WYez+xyHEUD8}diPE@}6whhedP4NX#JAruPK`Y>x?3u)ggsWZ
zC-`??9~fL7XGC{TL&e?Rl7-k*s7m{3xM9)Y-;{}ZZ&{Ez&2|%qrW%G15R)F|+?`z7
zMYB#^#0IWNzEx6-uHBIIHF`JtA)N488sXsVeTISHi4>%c=A`~kY`PLV%)Oi|f|#A|
zQZ~%G7V+&Qy<bTG_QJEjIs>QH5|jR&W?wuG5*9~>J6QM8@^m6>t=*OoHJYNj0a=`T
z!mKJQ{APXjoXbdMP_~M`P9bz7e|H#wvN>s~){!f?B9Y^8Rkuy~3X@cxcLjyz3i7-P
zFSJS%uXEH%bft_xrX@4qELwj1LdjIk;+_-w<FDn2xw3wzTef*f7qQ%nM`GKkbZ36;
zv#lFuSJLf%-_N|EU-N#M&(S;{zYg&Uo=>(e!hQ^AI!y|To-#Ndqj~L53T_xc&mt+m
zf_tBr>hL@5wSz$e+gijIy-%20Q5TkIU2)v3%9%Sb?SKs38@?%hi=WEtZr)y(XSF=e
zVQ6T(9-WtrLeat0uzF%SW6Sj%3DHGI-yMzqG23~9DE40VYvfD^9p6e<M%(gtOCM|H
z(K~*Sl>gMma<A-(^+ZA@-7T9iUw7=1&jrG*EaN*C-;2>QwQW_8E-PT#V0Zs=nRVw{
zy{jGH;zH;+58G9+Mo(m{)j!R6tkJS`-}Pmkh0BQ5(nn`z!#_RyO{hOR$JUS%{<;FK
zQfHX2Rg+v4gI|1BnW>VJ;zT5eU(x6$;!@-Ahc!WT$Buv0>a?|GQIIk7Ntv06W%V-&
z?wHLQjB@9Ce%^q2xcBfx!+?{MC{g{OQ*!;l&y%(U)1&4H8IIRY>=R=qW8b|A_q?|h
zTWx3V@c}c<)wlct0=f+f=*f#3um6OnER+y+|H?20qIgqk|5~TU@zW-62{1C;80brA
z$Y+7X0`rsMwe3kzf#4690vae(KX449jll~dF<{?=V0ga066omclsf%c->%w^jv=~<
zjO~m~N6_(PI3Q)zK7G{>F1x*hUm+Lt7sM{mX8aJz21&0JjSKK3hDYLR!ukCA)vE*-
zHt3hdXi7+Yxo5okPd}kmH5kzCFf^%dJ_jAySe!fwFuC}W$;H{<#j{4x*HCWXxl@4R
z9V3*;rT}$z)&O}tKPeL3`@hAI8*5Sf)PonQ%h3=L7G`F>@$M-216K?z0q&Jp6FyId
zB{?5Pwig^6P-H?s2U2GX+J<i_{r=`07TXMP0iu}4eU11~g!7Hp>6sP2XAkI>dc9DM
zSG{^=iMt7fm%Dc!hG!ZsEzLjo!v$3aU~?!~P<NMGWS~^E2S=!$x5Ms}BOL6l-eb-E
z&H1>D)~sJ&gd&8AiHX3yjDF+J<OXtT3aqfUwm-lY#5)L+N)Bu5S?|^o-<h8=35GC#
z&^fxeEML0xGp<|oJD_Z&y~Z60eEe|qqQOo0`xDsvvltKw$;1qBQ;<B!_IO`YbG_UG
z{E{9AKbtjWVbNTl?>o^}{)SKlY6V1ijZ1yMPNQvgXxUAmi$T4Vj|fE)$&L7kDz$W7
zBRSL@u0rwrE33D{S9=omUkuWn5h{Xot$z3mLEoViBJ+)(qi=&PNlWJ%I7d)NlA@yI
z<3#F!PSs6}OXKpx`_`YqFM;kz#J&NSFlZAfiR|&L$U)7RQgVpTo3uycajNiNhpG*v
z#S??-;8*paTJf6#67B*K2P)P8!#LZ=u7Xr}k{ts{Kgtjok7M#JC?3u8_02=t*>mT>
zYFaor%;uegw${_dMcNO40me;{3Jm!M#=Cd}@CA&S$?C<t1-<W$_|r#6VkBz7%f^e8
zq2&W4iV0kh^66PUK*q1nL?<_aB9d3$XSW|Z8K`TNdExBMfs!tv6ZII|k*AmiC~Ed5
z^`u<_PyvkLI733t=C4I=D93?Oc;{W@7hrl|UJapP(wO7G=LZ?Ao12^Vlb)uW)W}F4
zKaw;GH>uqM$z@=Igc*vVa}b1}7lcPOxoaER6a#H-#x{sjVL?iJ_SD4qhVRCph5?wZ
z_4U$ql((+C+atLsOx;|MD^m5*tvrVp7ZznPBj<iW^p&8}p680iuAK-4782YT!)(7w
zb;rI!-~*u)SL52^eke;<;09EQMQLe{P+LMZT4(%db)wv^UAg)BygWQ;YnCYBJ>&n7
zir9bz^?-{=elRK36-F<?-u^8#3Z?Vt*x2mH;u)L^S;!N;ckf=~MJhGx^}M*FE)sbN
zNl9V^D4xX3^Fl`sAJ$mvZTmh>6CEBBhaSR851kGjDe8u8J*xqI+boi6bdwDiEncj9
z<^d=jc5ZGa@>5u~867u0M4)LnHEbjp709>=DkA~bOinIeHZWNPzbySRhz_l-4W4es
z5eI1?nGk`#5L`ku#*K;}pu{$QotL8bsCszhDWRa&ZdA}9XN#_J)c~Em)9J4q9C27J
z2<rg?LUQuZ-PVygS1_6}rk!q<?Y!Jq#}U!GnLW^)Amd)QN<L?8RxJJ>GLZa?be_Y%
zORQYE^61meyFErQ4s(-$z^mHY5eU!PuQE_3n}+txk(An2(YxI#>^ggVNkEJp>L989
z*h^3%f%v?<j8}lBq-_i40uxNY{M^DhBk!t#goy?m@pK4~PDT|Ultm_=qFs?g-+~Q-
zvwre(CtQ<3L%E0_fokptKkT?$HH<AK#l_ViQ$qA1TrG5HCK6-%i$uuK)Zt;64lS|l
zp^9%oDDxVzivgyK=L_Fh*#~YTc{M|4OwMU!0~5hH6fN(&7vK%lMCe?=s@r@_x$DMm
z+5qwp?+gJS2Hz{|64()kcIVF0W9Wh^I@={Yo_M3~LxLiL%8wtv4+#@alQ>Q5yCniw
z*2$4vHTe&8g>E5tsFVh1v!V9w35xy!)g>S-(D4}CHv#5jr-z_N^85)vJ$G;`1E7R`
zamzS6gTk@I-_+M<BS;%{|Bnxk-$9=Tz^VV+w}_Y+dGnG0@X$h0CoL^;mUBHv?*ch!
zLa}1IfIA$HfIUPaa!yt6f0Hs6Gdp!?h?g3N%MUakc$`xhLkrR9<P+bJ6N$>!*5A>%
zmYx`t<VO$zIt?I~I9$PNAN}m4Kuu+yKaZch6?&wKdG*Pe=VOhxY9{aFmU^i99m^cQ
zHJm`jv(pZW?pV|qF$}+bdxiTskc*ctUuNhAS%Ya=X7A7viu&RD!C9-9brJgsIuEdn
zO)xBN+g4Lrs+gr#Wv;aoyf)e3TVVa*Tw`-(Ar~EHG03i1CnPE+hViXT$4;Fp<1XbW
zyfn{t#mZu@Y-%xb!6H)T1<b(fM>_uk4~OJG(L-a0O-Q%Xwcps^A7Q`L*!^!pxB&=c
zn0fySi^cxPFZnf#!@cN%Io3d|fsR%~+~dcd9v-IoE^0@PNCJLCzi1;psCYt42Rajo
zRP8Xj_l=1wejF|`J*!aR9o97#c;4^=gKhkQDX76$X9K%W{@J0L_)|KPsmn^hM1Y&Y
z(pleQ5t+eeGkLTy!$y5uvFF%nr!R&E0Dm7pw%Wh{g0@IAl+U>OY<X0FCF`fh0&XVA
z7;T7wxqIaB@KGk<8efZmVdy$>QAr9Oq$K=#R1)sc;JV?mM;Rre4cTy@UeWLI@!E{w
zHE6WSBjKrJI9#%O^%glzlLkw!27G0Z1a=SU9U#aFw7QFiOkGRwj<Nt&12qZ+0781$
z_wzqJPpI7>{R{eIZgE3KoRe*U15>(uv{nNU0)Kn;>RYU9gfBvuV0xCBI&ytb%9$(@
zwIj%o764b6z=p}dpp}icvQ0t~06WDZ$WkjHbqO~CNe&<AgS=6=P*6hz8FXG+$`dQ3
zx1H}cA}$DQL+nb?2vN(&q%uCSrwMxkG$y3Bcq(<Rt!A9aRKS5L3276BcJb0B-2h{q
zW#*m|zP_`lnXu-_R0f=YnNacE@5hynQPQ}I#&L~(N9qSKOPjsL3RFq11t^>xn*&sq
zA|Cx<F|YzmLZZ~n!yT#5RPe0;u#RIOb?K{Dqdj#PKufAg@K=ERb9{K|J0Cw?k@#dE
zx0#t4>M8h0u!3N5fhAxsge!oxv5w4Z<X}ofrchB?zt<&I0W2n7KT<mlnO1_OW;}^x
z0yzZS+d9x%>|kYu!RlRoecr<zhY3J!_SLb9aiNPd?HV+VO?(dn1I7?vc~r^p1|TY<
zzD;%tu`NCbhXULJ@kjz}r4Zs{AjtR1C1C*x3pcGA0%=Hzsh-f<?Uq+4sAzjxKHMsd
zl7OcOhb`3Pbtsl`h;VhX2a>7TVJ%Fie@Wne&<9p*v&#=2QxF8{H3>Gd0KLbv_E&Y1
zf_h(kOkl2|Q<z0%jMRS8I+=i|BfLcWvV3P}NFkZP%WnvZG|I3j$F9O6l|zownu2?$
z@kH=Oc!1^tD=b|-6F1YXKz&y_uX%dX?~P0*7&x#V?LnzSPX!1F^&X4|@Hf1a{qBs9
z5EIH=P!6|iW+RyfZwAh8RQQfSW+5msELx<t)w}r&(;yfRj_t2>&b-RkJ4m64>8BA2
zrl!&6FQ>RW`}zu@B?5H;+cyj#xKL$7XaS~6Q|EM|)*@T~YP9{NI5;w*T@-GbV?usZ
zQ0pM#zD_993SfQWs)SrO)APW?V3DBM!r>czCzT`YmB5wtq#voeCx6A-okyi^Vbnaj
zh{yjxc363~98)-c{L9Z1n`0wF|1CkKF#OVWT<n?N>y3;JdWKUz#~wOooAC02DAQDQ
z`4}5cOm&$ie?6uxcDqH5pEC1|VS{vkk+VH1x7_J8Ea7)BdpO5-hieAm*rDGpdUdq!
z_Lwy{P5)Wfk-A3plwoFT(O#MRIx3>HXU<Y;xdksxbp}Xaz`=1`SJqEu>?u|H-sKyU
zqwUXs3|>txQ~#OH;P|Cz%C_cZJ>&Cn|Kdc0m&KND0o1{0R^oI^#gq36Yqhr*Pap8+
zuge*ZX;y5H5fv?x<F5OpIBlsISn`<9l^9H|8lvQT?_(mgit{NMyK?;rT_%r!-j2A-
z#A@Cjfk`3f_6XVA4VYFDYp14l<7_`~GxPa$CEBd~xE9wh-s>cvyfkY&9XM@{O%dfC
zD_E>MKQ9{8pEaRLeN@vt9X?vi^Zbt5aD3PR|4F*>vldJ=aS3sTEggLadp0FG)+Z=9
z`6#KociHE~ggDVT?o{`&;j-FQ$|h7-eW608J2%E!hxTOP$=(@Rji+T?o?m-&Id2YZ
zCB8ZAS;g#>p>roCuF>%5q%4HGE5aON+oyg;-`+!73q>>9-+SND*pN|P-au&b?TN4N
z(s}U!p_<9-suV|S?y3q+pMSEP)a#m?bx74Ue(SH>^X-OW`|owW@%76`Pj6=T95adc
zQPPRrb)UoU<c|}g$y`4)lgiT5c`AxeCzM1c*L-L^W6M>-Wb!3dRp-@G2c}~`S8ykM
z(7!Wc<8G(DVR;zK>sM#w%_x+~n3wadA`a#?|4YnF>xz{3Eqd4}i(B*lZ^%KWP-H<~
zW@Brs!q1K>HID_+&!makyilj`+io0U*kxGAY1!G~%5iWWq6x!FKCG^;`?LdBJ+29q
zDHs%uBy8yKTzhJ*F`x&>KvE)zP}4JBA#48+Yi|Nh<=XcRUkH^Zgrd-@$Xp4@xQmF&
zkXdM=3{lBEt#*?kNvxzoiHwmkGVVfB5|JoFhLjAMXWrk1-sgVq@BW_e`;PBjN5?+)
zeeW!5UDtJ<=l}nk{^$j(=kB1~nQ7;nb3MQkHQy(9Tc!Q{oYoEunx={LRd{Fc!bw<w
zjSPPhM*aQ#28M=?crSBX7#M@&5CX7iZ~?AvZgq76a6M)(ielukQ|iwZ!f!JAMlkAV
zfjdVr=p<Sa`u-IU(Z)f$Z~ZAb{N~|^nd`s*P3lS08Vvh?B@-=(`-)L>ZrHR?z@P~N
z$~y!pE?jh&;)9k2{=N_zP3lznEi}Aez8ES>?PRUyS+vGgwj&R^we{f>l1?i5F@wVx
zHFbKlJR+)h>|iZM0c@IiM(6q_M1Yf{M&R_qHiHh=Sf61W8wqrYQ0yGZ{f&u++-SC<
zqAXC}fjz-R3$+D`fH@S*t>oBH^d_p0&^d$E0vCjK6>J;mC3(zE*z<J*h|e_(7D4xq
z;PH-ulO@Pf8t1BrVP{uYz!gM*H>F&JrU>04P#g63HuwHjQfdXQlcHE}c-S1$cPt3>
zwlIB|KdQ$C2SG^ZYa!z6+ibVcR~G2NHG{0sw-puGSD}TnMgLHNQw0b;&=~%7NO|?%
zUEsnXN&f$moMI!z&-C{6K=T7r0ZJ?nz~@pTz~Z~1%Y-czXNYNgIWj#|qF?4;ME69X
zfy~Mjo^8=T_>vhFM`GEpt(2Ozi=RRkf-z7wtq65MH;?)q58y!^5+q7CmPB(Fd=@t`
z;{y1u3YG?xXXwb#TA`|jDiy&A<hV=V3drR)e4!hDP#PT!Y<GBY(T3LT9>-LcV0eZM
z#W8AqGZp7D0IcO^0OH|mAx)KW|NXN-28{ES;TZnG(cC7D^B(~Kv!D?uP>D9)?*t;o
zQHio;H)LRt3#jeiZ)ItT1$YL{6Eu!sZvat1S(e?cfy*!jcOq<g!rQk$D+`7}cE5@W
zaqi;9<liQFsMY*=nExMKe(n0~tk%mH8iD3DVEz!t%Ge5_Y2>BUOSoR9$oWPo3Z@IJ
z6@V)=xHztF0ZT!)0M0X!Os&I*Ij^G7`B+!?^!#r?Fq|2`yzqTE5)aPX_Q+r;+<Xwj
zki$X?EMr~MF*n;k2O(=d+HpX3wXOx&s;<n-{Gw(4^7JHw>4{zTUtMwQ6N3T_TR^*s
zd@X@4_!r_;h^4DnS5;K#rrg714d7)UL;wMqw@V=y(%*s(GZ4|?#5Wedc_ReU8Ff{v
zc4Sx>4BRmC9i9KaYZig1W;86A2a9RL@u{g~f(#2w0Jnq&B^W$b{2icD>y(jGi95(~
zmAp5wAt7QNsymx}%tcheTv~9J_z?^*fpoe~8X#K)hIpdjMvR^ZPJ8t9Wu>K+4`d|)
zSYdlWeRAYoik8YSQ~QESWS1$rWJr+jVgusGjLCx&1}6i#rFMcN6GOTmO&v|8+LoP?
zlCT9XKZax%so6LDva$^zet?Pz2naxsSdq~u1VOJoN*>T{5JbcK7P&3+`Exj>-Nu?+
zkduM+l>tF6q}=tQOcctYe-^PsOrUf_vB*Qkc2Dlj@trkb%WK2BzJK>u`P1>eh9A@>
zJLNxhb%6&3=2fv^*o5}?FNfN(7aSWEm@pKr_pbh>5+k&@K_4TzG{pN8NFzk4-6-)J
zB752$Bsln8X`9Ty8%$;(vvFYOV_Ng4gX^aMPx96J`+&R9ug5+wG32j+e-zNu@4coP
zDlz95f0rIOKyKL!F$V>pDg2yqIw&&Iyf@5kZq}<*%GnYk8rEf{_d9IC;=TI#QF7C!
zzl3Rh;51P<>t~5>+qMQ!*E5j{XhnM&U`>b^SU;Zt5Qw39N@qSi1XLs@_7ue>K%x3K
zCoFf8W_fH^BB5xG8DK&47x@NLTHAMLeG)gWsBp(UfCzJCG0>x2X*szsuoOc-fQ}MX
z^VsO90lO9u4IniK1p)#C(S+aCtC~0SC7PJ3tHh)&ek*mrsSu{qQyEz};|ndGN@JtJ
zP&5ZCt0&uX;eo)~AfU|9)@jC;pLpjX{Mp4AM2maEk%$ujeG3;KpG2@aYV(=t>00KK
zR#u<zq~b|Ow~1a!-*pARl5WT<2zdnsr;FoCrWE&A1G`9YJjM+VZw5vH5+GRn>XPc=
zkgX-3uY~X87{t(qs6POub3ly|dw@L?UKDad;@^MMBf$gUWt~6|m}}_xApobxgakXN
z<%I+D@n0&G_?9p-lDs{-2oeciu>$3OR(d*w&g9%M0}RhYJN5p)Ose!HShkiduG}i@
zjH+!o3;?-QosGJ4#|mgp#8w#)w|J(J2%`f{4ec#pRG@|*f!1=XB;AUN@)`eqJb2YS
z+3+;80g*e*E7m<M|Bnv5uQ_Nau`{P!Wb%MaXN6!IscnuvJw7pkVbL|9ig7>T%7i0;
zgcxABzPf29Y3-Udc)Yg*od<aN8k>Zv=@)E%&@*8>z@ta@IxQUQNQ>~|8WdDiEVSCl
zv+Im@#8@ose$zO=rA!&AIQul-A}hjXI@=l3^<d7f+r0%JgjncHP*eTi_}5xTyqLU6
zS`k(=3XfAO6ZJTQX+UzzS4|LvQd|w^n>2}Je^Cx&Ii8aQSBgAa!~0$y`ZLFD_|vbs
zSJ{meyw*~o$Q7+q-v9nc@KcBA)vaPlUnm|0;ajP%*Fys}WWYpa7wq>>UfNT!a-!W_
zpzH<VEM_B={zdBzk!fSS)#8E|Lnm=N#8IW~ur4QcRsU!I9@E2|guiBm%INFgnneE8
z^EJjgea$aTPWenoE-R*r2da*CWT_F$mv?w*3D?ozx_9sTX(zjr4E))8MrZzL0d{OP
zl<n~fu2*q>_uHA^wc_-(J8b`GP(UVKitd^B7-Mj6hYfS<VcjR?-0RfoJ{#2^Nhz=>
zjIE3i4ShB49y)zJW@gz+x?O3~!a-`QHKOWY4GUJ#>3uA?;Yl!RX(l$zvd@hY@+Rec
zRa1%rE2$X;3FS<4p~S<aynV5(k^Wjtzk65v_$A-G$w>{mmd(-dy7T&{5oTFJnz2A6
zU2aZYXBQKHT{Zo!5YsK`oK};>g~;*@>5-LmUnS<Y1!!u}O*?k(2<Dh-NO_c2K6^gV
zWU3-1*iXI0!edFXvPGe+MgL(Y?77MLX+?ta+I>mm+fqY)nyy?fYSGOos~(z5K78zO
zW%uLhywRg3Y!mfGD;f!2C7RZ4yN8>V1e^j#2&2%g<#Os5=|am_sJ>4W<t$e6lvf#T
zyu5)J=;VprTt`oKL3MsH!U1JPVr(tF1vdx#mr~15KBrrE=XB}%R`fc-BR`s#XjsJ7
zs%e>@iRHLs5K*>m?nCO)LmrQu>K^&rbmZ_G@>{RHM?ljbc@A1{Qa+eZi|xMnm-jh;
zhmhUggi)=`l4JGivtpbr32*B=<9_+xy-&E0*$AY!$tUa{*duEU5p^}E@%iGap7W}w
zlvZY3tqAAr<g>qe#Or*5XL#Geq}}0~Sy{w`qEM5<HD@~u+isjbo*b9I?ffL;tp~R+
z+l>2+_Q~@nCiXLoyHJmZc+n1Nv+j7hi;iQL%-ZKm#u&MFdDN=y{B`J%q}V>ON{wnk
zu|pnTcS@;mRS`R9@j-9PJH~$)Rh{Y98+XmLuNb=Vj+!GmJ~Q3k&?j5u(e-}gYL~a-
z+c=l)`0=gc@tFY5Y-0GL)SQsTh94<M-*6hIvA&oT^0w^jSo>FJd}LJWI?DHsmGK+4
zs7_b#{n{uep=@buQFuGBB4UFL-=UIfy*k&D*>DRteva1)oyrv!x*l@udfumLp>)1h
z3SUI-G#2*n6!!6?OP-SbONw{klE4EkLpyOTIl^V<+UqUZsnSdMlcp{F$FJ(9qz``C
zvg&6AL&Er0sibM;`%-CtSE!v6%v)MqR@J<wfzi~Sq;3C_XZS<gGVWfGgAhh(C$1h9
z*E)F6)Ab0{j;ss+e~mlzJZMv}-y%`M4=`h4VIc_Gpr9()-_Sk0t+4SBX*hBos5rTk
zA>IM_F1C7_q4|0gqhOwDE%;p^EQ8W31|1e~Ge|c<lp!(-l`V)5ZjZy54pFP#{$+&B
zVF6%*KNFLa-0RoZeYou#e={j>Y#w5%-iNGKKr+V=K7#5tu@h-BctPq4%pMZjS(xF<
z5CENg8C*^z09l-6`YeD@J;2DK)>yTEXUT^T+Q!X5=E;zfEK8u8p5$v9%0)8y4eg|Y
zn>xBS*uJ!ySF`Gv6)&3)rO6f+7w3hV5pB~d#A}^H>J|<%7bhnK?jXw=^IA?I2o}@Z
zV8x!B>Gx6kwanAaEqCWSw8%I-(Rg5<P+Uw5(B~~XccyDhff%EMmu%_s<(NDQrW%9Y
z_Uq}@lC}$N?KK-VkeL{WMhHAfPOk&{e?$T~;>qIjm`Q}=5p6JP2KiYHHr4{|2MhR9
zl1q!1;laCk7k{RM`vA;X*NAoy=qGXktB^TEp|lw@XJE!E>pOt`Xj`_h`K8++C1hv#
zyW-YMhQb&7zRK>}m5EQ5coo$<IrapHJcNw6PwV;kQqL!Ye?+g5Car@}Rp?<}AsMo?
zl(Co$%EUv|Te@(q4E8|v2>~imj9ZMWubZHEG6O)SJ!wC=BUZKRE`+;Pic>3;(ZeHU
z=wUPF=*4Tifi`xRvlO~7REZ?tf%Y4B7YUVGY<Ceq2(BqAhM5xm;_~YG6ShW!%o9^b
zz47ElLtYIu(utw?wi;V*lVCsQA;X)49DGFnU2t((AY4<<z-+_D%iGu63l$hlY@eXY
zL@|*xR)jkr9ZezdfO@?gp>J((-%Q33YBlq)>J<F5ppI*d1Gk83fq+WX9JfXAr|_OV
z?ts`&Os+(&?S`ikWIxP^#0O}CQ7H-Wye=)>2vshCVExGLTyR37*GRyBiN^e*_~_`D
zB_$m@_QD~^x(tfZ?nd}sHcLu=L^Uwo^liufO_Z8F3kx;I3l~Sgd{sT*Yr&rgM|Z?>
zL(h%F9itY}e?t{VARvKL{OE4XvPZ3kP88jSI3@}KM+WH$8zyP0tEw{WRm-PUA_@UE
zQuOq=44_7lnSlU)#MmI<dvEVPVa)W>%16MpqqFm;&sKQY(QA-1O7KNMF`<bPw=WW;
zB(}KD3%b>(FptWg9CZ>I6NSD29T1>!VXYG=bmL-UG27D<04+?3XhM*UA6<crWc+JY
zl>{&i+#a}$qVu0U(|#cNJUt!wubkIpX8PQN2M@?71zd2rLy?!2bcpnyf_0@s5y+=k
zzkj5P8Dd`_vLp7Hm4*MTzi{gC$Tv3?m5~)y3u}U}Q}sK<$K1B;b*HSXY<g_KO6!aN
z1>S=RQ*1fct&4w9z=918R{@%$-H$}yy?x8>2d~%zMXwiVmC)CQy*XuUYz%kWW6aY8
zk^<R1slUFSQjfM7)?~)wFJC;ciu7%qE?z{-{wc-G13(z4iv{!5c}N{jY$o*=^6Ejp
z@r7+mNDX{^VFLmbl57BDJ#DT*;Rkk0<2WX)s6?Z^=nn8DYkm<;#P_RULR$<T89Z88
z6p~n=xKRK`fFq&uL#k8PyYM59pYa%gHiV1;oj<Ocj?YdDtYOr&k^mv<%{{P5RiIgT
z_39+rKQxKZ$1?ox46_)_by3j^IzO-CiSa_Zk;-1T(WwDQvEwZq;VuwmLx>bUj|q5r
zQ5`ScCN!EO!@M~MKE8dM1k|2@_f~sfCbn_lKUgu4XalK-?cBPzJ{tQtOt=JzjDY8E
zlt7naws@>4w(W5yGmNxTQDoB$*~UT)<0?+&jb>fQJsOU@BEv{A>@bhrPwE)y=senC
zLO?_C6FLx#{Doo?v@X~s8()pbP|N_1WM}7dGNw?@{<E+HjsE=b=<;1NtiFODMi0Rn
zfBQzKtfi&Z?$I9Va2W)Rb}Ft12Imwl2%`~@Sf)fLA3At@N#MRUtaYmww^TmFhWYsT
z5EyBS5wX(&tC*Xcn+aS=nAMWZ=k@#D{Z1IuJTNwfgELekmQ22dc7|7i3c-x;l?wt|
zDtdG07OpPM>iq*DHgsp(#KgSP{#mhZyYd#Kf@qDH=m1q{Nw?Ij8w3!*v}DNxITzS&
z$wAI-1{1F{u$>3H-gw)Ok(Z2u^E|sr0;E59CxXluMhs5f>z7Gbv_7l;8SZN`m5(4Z
zMZ_==>**xmLo$4dAL*VGuJQ!J7SVFZI(3JtP>capV1wt|QvuRx*PVXgRFGW|aM0rs
z8QLPU7j#|S@Mku3GnB-)m`{Hm;0@&E3ewWqAnIXg#pa#|sTJ7bg8~?4T82L9`PnZ5
z+)0NcqxK}|y}%?O^t=LFwxAdCn*14urchi|^eZ-9ELriex3JomZZO4G_ybRft0dgP
z?P#R%z@8tm2gRgsaglG`x-$+ANMo6kX?A^u%yl)jE)dRSIvErNuJO%~%p<|YBsK&W
zq_d;LcNh<dDrLuxG_b5Os8jHYYRpF1m(}8fXMjvGd~xIlfMz-XS_MS{^x>(^$!O3J
z;cBg}UM{)v2^w*H)fwPR@8@kZF(#HLPY!|Re36$Yq6y6b;t^Cae+l0urS5arg3UP2
z<N`LB)WS)P0!zr*kobfM|GFed9R^@&&==YO5!KEa=ywC2e_&;;JHPmt?Z7xTK$(Zb
zcUl4}#<rmZ2LK?n^XJnb-@q~kpwxmtSn}OJ<b!wwk<)e-pb}0~2qgL;W=2H?BQ&r#
z64J@a8VMOILO+kh1vpNQLaHq(IfQ$IoiH_j&>uRLE6doCN;lp?KJ1o@pF#nuF0|{w
z=(9!xl2Hx9S<jsWkWt@a$XpeQnUzi1XR1kpeD%gA00!4KCARnXOGFmTsoSi&>#H8{
zdy_NC@#1AdWuJ#a@ZgB?yLAMFDdr7??z`I+on|DiL=ZA;YuyyQ5ZK|ypY%AX++Rht
z(^OX_I^Dqh9G9|n$a_jsl=H#rcW>AU|3Qw19-c(aPMMwr?jYlzjKrYG0g6XIjh_$*
zzrL11+Ky4V>$}D3l9RtimF2?|{9XMyY&QjW)87(o(K%(|K&KoTES@fT*oom;OpB7g
z;>~GB<+!G#)x&N@YwndhbkW_y^`P88&p>E!d{H}bBIe9#`_;<chtq<$9@;=xT%)67
zdTXS3&E$TfV@x>1C4l%kJgwYuG~JsJR^lQA?hqYuA|9j2#_Xi=SsWK9a`Xz9Nh@gv
zmlrVVd5c#NH{Nj=5BxlB*mr3aFR_JbwVVEp{Bai|CnVW7raDjR`CNU)W<oc$)2}Dl
zub0U0OE$87>pw)$e;1k^<e0h2NNtq}P?Z)mWa9sxu{`+c_Gk3B+*<aXdhO}1yXC}p
zh2M$IzXr_-?)4>pcEztdi4&YZ6mQLJGpv4biG#`$OOwku%t}n@mhPiIneL%)y}wL1
zxWK}GdGXOAx5^|@5xLE5*T%#dg!xV+tRP}&9sx)J%t`ueW*F(P`k2O)roTyA)LkRt
z3m15ZYdcFrypP*GQ4jsfOf;AUzdiebl^R<ZZEO<EMVP+Qq}jTxR=#@ld|Xh<O^cPb
zI)xW**cjC4o#%;}&OY(+zy?ve;-dpgtR|GK32nWj>oGVa;`tuGuZ0iHi5C{rdrvu;
zJKQkoksqv4m@`$2?@6+frdB-KZ}+Am`KSN`e_Ez~t^dqXw{s#dSmHgmW!uM>+P66F
z4^_{vE@LgWIBoCO(_HFhYm}HX9jZQk?lVF~;{zypKW1(c;!Ori^831$9MTl|{6%Vw
zpWON}!c$RyAmQowgeY|-pL2rj1-DN=bj2nEqCcqNJBb~9R=#$@G%n&~(?Qi=J@?yM
zrZ`jSx7R+MzV~&UXS_vXuj*z8Vvn1Uf205MhZkNMNVAM<N!HQ4UhUqmV{5hg*!0d)
z!`b#V62zgQdf%SVGZKUdvzft_)7AU8Fuf~W#ox_R+FLlLahC3GOVaeuw2Mo$bsvrE
z{`l3wKvPrI;}zUWQ=>Aj)O)V%H<CmQvv6315B%CdB;WtEOzQSqXCe3daSZ(59sQ!)
z%vU{parz#i{HX0f({^d**)ev0tpbLJ4`<GlUVG!uz+d$)#m?@b`d2Y}e(M^e;L0j`
z{-Pw;$404#Qj?gnt?ao7aW^GDyQ}TLh%H?l63aqzq?xvR7o0eK&M|}79#=#$iJ1OX
zJePfcoR`jDBJ09KOUXRqw`fyzyjbv~!OINK1}%2#^;r=otWGi9%|0@~Gu-=QgK{U&
z)40|Ats%^_^_gM^2h_7SIi|$lnakE5(42hp{Q@yMDnOY!KBS=B`Go114FiAfE-a|Z
z_jEZHDW7GSydM00-RrEM?+?pY3q|+8?IsKD7|PyY&er)tN?ioAx1sVtd@8m(u8nUu
zLw}0sOfZi+Vwl%SQ{RHbDEF9@e{U`Qo}P!rC5~HyRcGVNh5j;l6qd=M-@jd}b=I&d
z7%uFK!JHV|4fIu9MC1!JtpPXTcx!0eI`0RG@q*pMrRVc`;PoiRAPhw<{X-Q<=<vIN
zg)kgzK1i`hQOA#MzP^znk@L-VqM;t&QgDe#kOeD;tnZG#K1E0!;2o<@j)~bKFOP{;
zU(hAJdzXy!1t&sk?sHPH$IL7zC&#mH9lq)fKBZYGzUr<9hlcI~=>v8O7%JK}G`iwK
zLJ86X@WdnYv>L@W3cu!Na+o<fIkyKZVa4qKJ^%4^X4Y=psDPFWy-)C=!-vgrB%+DM
z=Ou=byN>Fhq6|G0v=w9+D3YdkjgCUs48g(+7_Sgzm7fb{2IcnzJfMK|4QXZQ5-<Tr
zTuh9k0VPl}&LmU~C}vY-zeAu15_o#rGq@7D)o6<$07SLh+uuKT<`)X3KOagVG&~%s
z0I)Pxp;QKnkMU*b+euX_1aA*u_Cv>x&jY<(*u8r%ATfr;21hcO0ujNgM40_ix3{1%
zL}h_85giGR_%96&kUJy!#;m|yKkNM7y?@^=0E!C5kQA<|px|jxNKpR)k>{Q=ER%;V
z4sQx78e`Erfeye)NzT-TOt>uY$gC{Y_eX5$!V@~84UsG=3KRrDVO0)5WD0r(K1G=p
z&m)Lqg=!s2@<gyr_%|Txm`edhflMrqeU2^x>;T`Mi{wnzP{;;9q1{Gdjp?=k($RqE
zOOx|~5MYb83z{L!d=y@e4)Zh0Du|15DA%rW#PtOObp|<h8o=yPQ{lZG(WxOI7CNah
zYdaoP#(zHSM?m4U43|y2cdtV*w=qKQE{uwgPflX8867e_u9P)HHk6942)!4weknkU
zd@<=&$F;p|<#~yjxtW$Zq0{|;KYrYf>uYm!f~;%aH(v$GgyFHoZjAM<e2Zi^kA=lk
zw-5aQ`YZkANIel?!zVJZP^kscXIcRA45@gDVF6*!X^87RU5_F=_-!Y_v|^pM*%bGQ
zKD7U|y$O2VeSNF=kz04o5+VVnKW~dWh1eR6M?g;0!4@V;P;4xBhP%^3LXObb+xMas
zRiU7#)rdwP+}(?DLO?UL_q{`U;jD`=r;cJ^5P1XVy9FJEm^j0ak8j$<b97ZDt>H?m
z*EZMI=4V5xOke{^;)#BdVskU`MKQwlgcp8)^}erpE?OsZ@1`(lM@DfC4Pg}nlDWsV
zi4v{0@UE;1C4hoxU7z*Ma?bs=rG(*k=(60SWS;%VD7v@!J_kDN5{uYP^}h1XLA2|M
zVc0qdP(vWjqf0Q3;;RRIi^gUiz~kf>fAuT8t=2@!Za`WrfW7Du&quJZu;~22XXx)=
zeGCOC-e3D{RAeN$hL_mbS#=cjK8EbYjr8>;FqsV<^%RE6ArCMO(p9Jdk(mtk8P^X(
z%^*6^;~^z$fW`p!K`3UDe##H2ASx8UfB;f&2ahR2ccsh&=hne}5E>G)xdz2DhaXUj
z&fc;4bjJ5umZAV^7OOyaUx0vEt1bw|)i>vNICUx$#VPE1@tlRDjkXZ@E?>2(5TF6J
z8+{%`_?{)vLR)$z?1*F{vBozzLqmTCDb4N{741p5fpjRY-)!z=TjHJrl`Bv#QX7Xp
z6<P~G9Y_zvPNDx~_$4%8fEd}~<%6IiHMJjM@vxWx2O-zRgxX;hJ%@#TFxUWK5nehH
z7V~wl$S(0V%(Z*<rB+JO`7jOM0u<S{>&*dQkvGrW8#05Dm)s|qV3{}`*tvS;UElb~
zZwve%S@izPF%|zR>_f{eGx5%Dt?_0@BG*;5L-Z}O^SZoO2akx(F%o@T{>jt!tWY&=
zOP`COyVX|AkVTDYb0D5w)C)b$LEOr;mPmhc+MAAAQFg{=wQ^f4{{;bS4?4XEMJe%O
zhv=z=bpCc$!o<YHNB>LQCJeXYnssV5IPMoDn@JGv*Zlkkqw`R7iC)m0+yd8IZZtcy
zCNcQsxrmx5Gc}pMj&?i0dYy2`fdl@bxoO=m%0;f<@~srHp>uQQC1Oq|t=eSWofxm+
zv&`nGzqd}UKnop_VBfjNN`B3OG6sj>;HaWiv?AU&ESCPRH%92nLuPe*kGzh{Ew}nI
z%zSL6s^Q=-E<*j@h)$4(ezD*M!XfkLwsebKiMg^py$6XH^CS5Jr>nc!6SGpY*yN~f
zk9%gS85}<9+}N#^YZX0uipIoV|Aqd{cYCq)DFg%+gbaxA=m`wbE%7{V9L`a%P^R$t
zXv1!1YNW~lC2EsnAMrUaC)a&0ak&PMe~AKvDdFg&Yxm7TK%MSKn2=%x)p#q4<ZXqw
z|1x(bwC}_>>L0%vqJH;l5y9W;xGy+xc5hnH#<yo!THBs_2KRn_$xBVxWp*k;c$9AG
z-B=?V?Kw_D*ZwO<gT(&Y9PU8jAdc8h?S?nB*K}7a3e4JmE>ZTDGYsaa<ldG&WLw5Y
z<is1P_e9_3e$9L?E>n!iV@XQ9p>NZ;g6e%)RMjEDhhhBNdm?zo@bNZcn~o<-$JlZ@
z^&2<VM&xAEt=WF${J8+*EnY@zSC8|@Zz6c&HqscSn%pNpC0CqW+ZTUFjrTC)Ig0tK
zt*PC8r@kJk^iH2vKYK^_o=?t7;^gL18~aEHdZLB}*^ZIS$13$oPfw0mmuki-**UII
zeqt>VEakG3Va;e#H2ak8N+R>3fhTKrZ_$clokeSTrl&UB6DJg>Oiy+79cI-2^eC>}
zs!5pXw+2h8_k~fDRa5~NjxVnpE7lcfMnqCXLOPRD-oA|Rm#{Ln-b9^H7y;PWi2}mV
zzABxKC~D~zz2FgK#-MFtV%~6Q6*Xk5e?ezY+6E$wL#uIr<5OnEgzl22ZhkiV6fU~y
z@vt_J7gBqZvtn)9D~Iy@RGPhPi9=4=em!4&vY0-YtEK6?^ju_GBUxphW|VNk!@hio
z;np+L^Iwf>hD52BD11jA&bkvfR;*R}TQFpZ$jK3={}60Rf7iLuBJKN>KapR(f5#O)
zEoSB8;U^^THSeM4AJ!HGCHU0!oh!TC5u$)$E#35mAHvj6ef|n_DamVzTLS4VvqE=X
zh^8x9^e=yCe5ACxeTrS0ct7*>bGhMdM<ORzc-6C{*D(xB?>efUn(^c)5?8xv&V0;O
z^L&BJ-V^M^4hP}%jGInO$E*@RUys$@NX&I7ju%~t6x~=HJIzVq8L||>=FD62Kh(Uz
z1|~(`1uB6+eK8j1zC+;z9AD63B}s5_a|;KnLvE`7RtG4}rm(kwt@xUUg-A@4oHmo|
zcp4=RA{+r<wzs2>d;oQD7bgR&PE*Ok5jdj*k!wVR7q(G|SjdpC0~O3|wd=`=DJqon
zK!J_0Eq}qbdHw2DAlgXH&VarFvAK$h-T;jdKoLKq+2iZm9lK|GjU2f(Ctf9k?7n<4
zjlt=JA>Keby`YE#)>1U`$rPs!a2TmEZ5K>-SxJQzT3h>8P*4!Q8tPZb0=xn1Lb%Y{
zdJM!kYRrNk+j0J{I6R-3l4*)6Okcte?(-So{!oXf<3xd?Xcprzft7k)`lfIjC(iY2
z*Kn-pXPv{z13ZQdS8;QjfEcO0z1>33RYgUDQ{oYs?U8t05lN51yAfLw5ZDn6j^lAf
zkJ&mv_wWu7knIaghV*~l938fH0e>6O#s^Ss1Ex}!1%V?u+A}FB34Zf}0#cukQ0>Rf
z2S;*U@HKH7!AgM=5ds95Udk&gIVz#|0ycy^GZbrxNO<AgiyUL`I&UC#n}gL0fgutA
zR1>S3ZJS<<?5i(-{aS4cs#@EuWw^o{&F8Zb^j5=zZ?*+WrCrj#fq^TRFV|H}P~5y3
z0>_PHRgD3DIJL`EA*M(9epF9y3nZs+Fz*3@Ajl6VsQB<GJk=X^i;MT+GXr?zMOgVZ
zQl<zL3h@a;gM-lQK|2>3$RlMl{6XpuQE^>bfRY%tfc?kwnjo2;@KdQlX23`zkZhFL
zpbX)B`-%1hb5B>TUX5HATmzuiN3E?B%2c5=15&&mO&mmjm`={ky_|p3rsJq+VB+@=
z3W|a^26&k6kt0A8zjt)#>FDf0VcFTT6uDm)A#MWlPLJ@kZyX!|0+ZdGfP$l>o{!uf
zTjD`6wR>apM+*?`9<-nm&xCfh5kh#CNn9GB<!}M|`TNuVM&O!_XQu~l(EnUV8+rvV
z@EV{c{ceN0!y3Yx#X5X~`WU(TkR|HnVlLR8J(Cj?7&?o0yt!WT`?C7;Fbm=r5{l!k
zmj!$Lebqe{dc$C6Tvojd4Kf-93U9D~BB}Z5-~rF`nm>kI-9XlZ>l$LRPn@7{1=q^W
zW&Gk|0;+X%fegr~W?8X9?|m~PECuI-r*TDi9ZQ8H5Uzm6fygf?5X1!aD+LgLNGz<G
z?nmGe=BB%p&>PhoAxh;Fz&_!t^T^@GI{B^d|CNN;+kSO2n#|k_S~ta@tE-EZ=pPUO
zM-8%5DKw3!7#RxXY1snU?hG*!%@F7_q;_b+APjniv;xqOl$6-im-CSAt2qYfRtV*Z
zyDx+T(5VYwMK4A9hM5(GzVWm-r-E|!&V}5$^S!?xRV!$@Y?u>47%Dm&g3BQmm)vy}
zc%Wbqzkp5)6o)a=_K&|Lqx6L<hlg$4*W5lTZYYuL7R+rUHEO`~ANT^^R6a_y`{j9T
zGTOboxcC_M1p*5TBIN1lS8gQH0~P~O-n+JM_q}lg+dzB3P0;0~?F*!hclz_^T+2G;
zzGbN*Xa}P=;r`MSo&k*l{r*5SbU%sg3ovtH6rNty=!%cuEiiA=ivammCzS(_53*qK
zXk%TWj{FQ*yKCJ>R-K52OR1xP#KbiCYYFr=*w7^QJeWg+LwActi}gOONQIUZlT)x8
zp?69K*nr)-N<kTgcG8pU!D|4D=ro1hzD=<zB|0v+!Cs1of@ExeeG(%LB2Hw`E}bIi
zDju@)Gcx*&4hu0mbn08!U~0gvBX<M^_qD|fFnr2@lq(J!fW}p_cK=n)_mZmC?nI_l
z8^+-pQm8t{n~0B!G(*Tx;r$`)KikN0n`FrO{75np4Nzj}k4*v<dZ3;IAW$WA6z_K>
z>;svvUB}0U)}f>Xaev?eAq>P2*X!{82CV9)WAobrh82P+Ksaov5rULxleUE-`zfFk
zyawYnVT~e@>bg1`&u>Rp1|Y$_{`b8xO!x}K8vJhIiOf$6Po3DWpjy)`xFM<B+4>*r
z^aVHxD_WgJop)mY<0^ak&Nbh2&xp=COgj-m)-I}}<<-B42OBC?J~g~qK|N?7oZcY2
zv(ECPeP@z%<gRgj!ccO#%BRK><>2j7#JL{Gi?W?F=x;@iDI2P8?W9!KG;ApDW3Sh5
zxBh0G#I2=cDQ|5(L88CbN2M%}?ceWCAfzhj&cv^GVs%zCQ_{@OB)g-_EEy#wOJ5uv
z7d(<RZSl`jx*Q`B-W86Ury^|(a&Nx>R7Rw;taUg(V{<6KTVwtD1Nx7<s|$pvF)aR<
zO7^F`ta={Y&3SkCGg^7`J8}9CA6}}T>gS}zmpMv3ewN;#0Fat^cOwSx!SSt=i$?$Z
zoVML1F%NP2ac}=9_jQRULNbVw2YNlvEpD7S;y4v48IAI(Oow%!<#w8}7ZC>OmVuqK
zh-RsKXNTgmA-zY_Jta>vo*zjrjEoddY>3oI%}VE5<^g+y%*R1}2JO+W*?|mtqw9B+
zTw9%2`$1CJ(6~X%yL0w;({(Yr{ETgXozi?OtetB}Y}>Yt>0w;l_~wUMG*;qcMWxeL
zS?1zrbYiN~BTw1_JSnpRRB;DsgHVgNS1V*xdpx3U=-Ex*UVf7JHFuD!p<%{6;kX!^
za8awYKx|^?=rt~tw(K5#g5!c&aNS2CkiR;)83#Vn*#(CA+MSeRC!p4S)t>GYNA#F|
zeSVD~ZcL4?ArkcBF7)#5rq^qro8@|h?2x{`PZW`xV*1<0?f^%&VSm&8%24&h>-Q{)
z`%>?JO1KuQ7$7gf#wC7={_a?+b7EG%*Lp!VrFXrnij~#U{&BP{OU%+}`^fkE8bxk8
zq{x;%clY3H-durndwWg<zCt%NV5wt&T*eRt!W$v_b8&;}6yLK~D^41E&oZRmH|Xo?
zHI*ZBE}9J-_e*>5;GL?$hFBV(|6n=4`p89GHHLGJ`uVjQ?f(?HC`;BAt5gxo2LtGS
z9N_SHvb#e#D3*JSdFuepSh_jxnlv$+HR!9pTQ)plbYenJiBM7%D%{*=n{?yIhB8`_
z?M~zMi47i)(z8nU#}CG)46?+^Kis;d`BJ0vky$3cAbrmt@zX+cr*co2eZ6lYbkd;i
z{g?Gr^UlM!LpEQoxTI-ko+e67PhTGIWnMvJYpIZPS+36`;!|(sHB=nfR^j!yLd%V2
z(JPEev~zCd?}ZZI-DB{TyBqzYd|#0ia1q`A+)FP)zP~{9iCPrOL&^>w60012KV(G!
zP0-rolmJxg5%~|KHXRWz%>%!GZwDRt?3rsP&2WDZFX<W)cCpX4Z!#I&4$8cHrUmse
zw4mVfGBPtUtQh~at4|?`Zpe!3c$7xBsi-)uX_;3{#gu}Qhi2v3sW-QwTCE$zsfiZ^
z7tmdj5yPVmr=b=1`Sj0PE-o#MYX>r%c$F;2fW-jngNPhspT^ZUN~8YJAZIxu6X71x
zs71+~Ym8C`h6xE3DQdv9D7BTQUTd*c`Yq6DXZ3O9L0bc2aw8R6B=A@=(g34OZEWt*
zXiiWXK%xtWKWe$zsg^nKPweA^gBL8f1Ixhy0EikDI|LLYwhHKwHi}|g0`r+`*+~&D
z#_^EHgua-TrY6t4;|!vbZ&1Y2GcZ8z?~3vWY-8%tT%`Uv082(~D=t3gv48O74KT&0
z7bOHwo4v-&b{y}+I0z_jVZ+h0^%(xa%FTW6!2@}89@t<{Z+r(3Qgu7f^i?b@A?jNy
z5^)<bu7lw+b8~MEGQ9(5Lhsx`QBALmt^<h-u_hxh^Y}K5W2h)OY*Xh4ZaPM`BIg&E
z496n!<SHZN#tuL-lbGSUdS0^i?=mEPt9}jOxlIruK>{6Vy&dotY%_Rl3)~S&uk17`
zz77M>xok3_RX}q?pmNtw1pCWEP9Z}yhJGR<*dHe)v9tp4c6+IVT3mFoAE^nm@D^gj
zEe+O)m69QY?r67xSR>=)u%h7Btr&X(#2)XCEP|@LJNCJSxZ&!#y5?Y1D?UYdxG@YG
zWBo0u&2xata1s;oku%=%ZJh3?9Y*e!%6cMBZ(~H_oFBk^4j=w!Sy^8H?e}Ye#|ElL
zfM+j2^QKjU!JQEHk72S10;MWJAb<>zFiwvFOAd7#UZ``x^(r`Z>%pIaWq>{cr3p~3
zq>B`L0T;~bfP`WjIk2wp`w%z8GyB!l7=F~JMxg|wHKG@!zxC!+bYLP5+JR>?xP%Jd
z$YsL0P^>j}0p34R*!X`!uGEDxg@8s61t=WI{fMi6_!k4_ih{0&IT+%C+MSWOuK<yw
z?}>at*;@;%Jpt?xgY8N|&*SItx1sm@1$`oOF+LdX@646QpuUYgeK(R^(&&LhhdBI@
zz9oM^2|i!!1gL4H5N5Fzus=F6{2ek65SI;?b+FV94pVG1xNx|6@KNA*v33G3M%zO`
zK?8Z%;V8wYJxU-I02qS%Kpw^jFic+Vpq%uk=4SJDc`!RYfIE@DAq%+-($2`>XW=9?
z@#yA}fnL&>>{L1b5&sClO0KM@;&+rasz^Z<$DL>L@6AB+potTj0Z6KdHrBqqXz10E
z7xN9sE<CLWQ^+|e0C&|S)CZ{J!6>x2bwxms{wZG<E++I*50*kAGvp?KG(ap;XblX6
zxO`OBbk#+9{?{H9J!ysKDK*i!z&*=d6JdssAqZbZA_n`iK*4y`UhELGt$=?hI!Lt!
zHjB*&UDJAQZp=Uo0w08`5L!r7!{Fx<WbMwM*dS%zFpGc`$SROu`5O^-vJj|%uR)6r
zQ#cm(Q|MC0etuMw*X&=WhV^~_kAesa3Cbh+sTo&{p{;G{v-&r&5(HB^Pw>@DJ2SH}
zV-Ojrbnvk~ymkgx0XDZ45Ao2{Dcpg3Mjxuq!lU9CmUR!x3m%93Z)hqyJF~E5<MAf2
zdbk`iJZ}H%f)C2Mxv>}%cxr9oU+$!#MY8!3_uaPKHlFsjvmz7E#h`*S4ElNwqRTM?
zc-MXr6;)NsQ>PwIvbSHzl@}FVp^Qcb`;b9wHckidV9d`@_}6{rbs{hJjfD-r_v52|
z%scXK1_XFirzsm6VlpiQ6*YNxgX>n@!C+KL@hKq?tt_MJ31iq!Oc@h468ski2pAuy
zUD^g|l1@SXoDO;2-u}660s;b9{RA{k7a#!S+PDhcB3&qr)>PnOSRgGTqPZnhasqf&
z2Fx$;1f4#4@^M<=VDwD);b$Um>l~KH&yXv9{h|`d8s#}<2O6<Pd9Rsp?(N5@>g4Ez
zZj7R`uqc8=g`2AdDYgd=EVIc^H*?D?>}L3_4`T!y6)Oim?UO;I&S>%Upkboj&f_na
z5C{oDaAbVnivd_ty4D=T0b2U;rxFrag{v;j{WnolzHkYx7b;Py{JTwv(uZk}0FLr_
z_VnMFDy8$Izu%(i=~UMGtG@B#?MV{kgrLkiShIjBjlczo*e7WuH(+}w^}LRbl2TG=
zNEe$kY;!8@-2zowS1~`V(9;df2|F7b);Bp-340}GN5ByD3wHUiw`8}0@#!CO?8u}G
zpBYBXYBHMGE+2?vaO{(*1EkBty<c2#gkZPD$3=fi#>N9{6Jaewtr2w&H-1mR;z@6L
z?AS9fzi<y>fYn+~&J>W`6Sp1pp~IX+3T@PgQ#<yQNmz2@4u)UA_kH+~zfPEk=RSUO
zT~m`;``=hN?0(nxe?~R}z>3uXA5d%{_8nsa3vJE<4a4V$t7>FnBU~VttpATIk+RBE
zA(sPHx#S_1GDdn%?z;}-AVPM#;El&JgLe{XM5k?R!1Fa@J3{>fR#u)yE;fP1)0I>-
z;Shi{$z)0u2q*US<$?OZ)1>k>6riTQW)DYf8r=4c*B`~jg~7!&1%HOTd?EIHHIoif
zNSk<hd;ymHH+JS$?K!VdtEeW|icRl6dM4>st=G}AT_R)1LL}4=s*GkCjAGD&E3<Mf
zm%m*4q<84d6$V+^dwwd7Pp2CtIEG?_)t9^r6?&|{(nz00tJLF=#B|8She+E#jrGrV
znxt8lSm`v5H}Ft)*fd)tcCxbY(A_P});^WGr7M1HZm7%OrJx&`g)71xJJaf8_jquP
zJ<a`R)X|zKY`K_yr*|%EaA{)832qr3r)1GUqNAh2=HqyS+Ye!%^xg;RTOMdJA9HY^
zkX<NIw%?!U?C|hKx(=?j0d{{`?uDXPTf*~&jd}3L=l%XF-a0~5tCb_FpWck$P=9dH
zW23U9X{n&8kqt|+O5*3S8y6kvPJMOQl&&UWNpCdfxVM*~_=ti{T~FHP1h;>>*7!6v
zTtgot&es2KuH86Dzf&fDxknxo0pcO)(e-;iaglunUO!g94oR|a52*7TY-w}<{wPX<
zm9;=`0VbU9s~2>TP;|unF&!X-l78{gi^ZM~C8wVXGLj6<?xQ&Lmj?US>$sxV4Lf!t
zh7DmP117RTa0pNY!L9%c0gr)SpNW19|DDY^@4V=&#vbq|i8az*LOOsK@U_wY79SkN
zK%FGENK>NYd>58kjXQW`oPG94>A`5qhzK*#hd8(pw}xd?2r)QZq-08u>T7kC;h2RD
zl+r7W@D-T1gs);H<LK~);1ioEDQ?G!03yAB+KK~|w|T*1(O8N3z9&&9RAal5s38Mc
zZ=#@3U|;y+1u<Zbv4;Y4<$>TD8V<AxK^x_y5nfVYiLb0ev93$xpaQ)EREjY(Kss?m
zBW4WYI{sErK%+*1EEU@ixOM<7O_+G(ggCS?@+-g!kFN-*9YZJZ-=KYfhS_@M<2meE
z?1G0$O9!faB)smc*J&vG@Zp)WDK^T!MSY9JW0b9Q3{1$M64C^qg%=FuzfnSv4GMP{
z#*)BPc}_<sxEv+})R$WX1inM3Prz^J^W(#&x=pKi<#Ry6qvz89*@Z8L)aFmXze34b
zhY*(FMb0+{J_IF1ty&8N0%&SNAOHFxKYg?oSP&i3y|8=8XYPPZ=k)?TA`yWq7EcS<
zhpL*Ioml8FVc@F3l!y%#J25oJP>LH`2><`n$#+4Xf@`LL(g<$e+gmk(RwK}c6cQo0
z7<9q|*ox5zq1@?y9K<bE@&3I%iU~A1NbtB(#(x#x2|F4SGjpnO1`|0|b;HJuQ7^CI
zS$(u9oX^AU(|7S2hv8Q0PSM=#6f&G8w{M5DPboC+2|{o_CL9q&i3NNNGkLN3V>8uo
zO8DOz`~PoP^!|n_h&Hg}p0%^XnABz*%Q|PQt;vE5+7j45CQy>1Tm>y~hE@&5200Q8
z!@qRUll>C@C51yC^>pGLV0;Hry#Q#w_Z&&~28+#lue4=F=&CyH2x$={sKEr!fE?xv
zG?urJ3t;27C6Gb{vR~K285)I(hCH}jR*){)?c241bYuKs>E#v(mL7?cQHuDD1c(|n
zSr5Z*l<Y_YphA%nA5?gzn$p=*APu(-tUgKzMf6kAor?XhUd&t^DFb&PBq1|{%zr_l
zD)1)JC4=SvB1GvwG%rLkz5o~%B_4z8ucyy<T@$>f?Q<p{M+naPBvT=Bgd=%oA_M~}
z35cAUU~(ppv8;M?c9)m1#LNAmr0ndH^SN>JbsVDZ-4kZRr`1b^`Yifr!@)N|!DsZc
zv1zHF$$xVcV|;d6k_k7eq(YwU5CZ&G@nfoxh9T4wtG#aLBT66A4s(y*EHqXHcr1_x
zN0L`MI@O@NfP31Q-@z(vUkF{32m=xk9N#Bp2j_iaWhlV#$<&i8v)Zl{J@o7=fc$;)
z2zsW=+>N$dXc|T6G_V`PfJKr4_%-geytsO67rutM_zCY-59en@9xeC_v1T?Iahel`
zm+=5L=9kYb18|&$I{+_qd+AaYmBy<JAa23YlFOY0X`%0ifL~rn=s;G($5_vE5tC+p
zRqCky2*uYoeY@%Y{1Q~gYcq@kgPb8IdHe3&k`FlDPw#L?@fxcuL>2D$@Ys(%L7?x2
zp--CvYw)LU^Z5IZ&bE$@+Bhvf0tR|Bnpz%K9_a`spu#Ji`WCqdEg@88^q4E%j_O7#
z8|m=fK_8O-K{K=K4mKATAk1y6rr|<Xx{!<-cEv&sD-nS^`U1QaT5zbTzW`<MLHPvz
z9guA&EDQLh2y}<1EG<WF?8iWzG(=_`6(<LB11g91>Mo6@5B?HbG}LU!FTk#ep$4A{
zU!f|)%xF-m4h`vBrKLxaVo5flc(6&GJCfT8_+c<b$8~?wK9%9GiwbIqjrbw#JS#Ws
z-YzHS0X0mbKEjqz<)H@ha()aZ3re(=8~4D6@)#c!I<W|M9tMWXYTZMSs*#~)Wr@gP
z!eak^o_;GO@#MnE<-Xntb9jNhkos}ZP0;IUYG{x`aLn)`J5U@WRqhv|dn2{|s7Y~T
zf-R~lF9+R}0c#El$+0oM-RF+sv9W3Sf~Zr(rDOjN!Vn1r9HAV(7aoo<)*NuKXo}rd
zk>ASmkNpAGBD`$uKLX*Yb9rWnxmkG#8-Pt+{$esxE>YO+JxR-1SNMX_Hir$GPUyq%
zQhf7+)N`3+p22v+%<ImoDlv5n5D(e9FUmmY>x(m$TZe7GJJW4H?)|{#ct6#OQeD!#
zwm3F3k8(d^GsB03tjFc<dHTfo&xg_3Uu;)Vs+0XVsD*rH@m}k^3j<YNHsEi6@-0$z
z?h9Q-d{31ZNS|A7zp{1e&}rL`U1Mrrg+sWAi^Jzx!)tBbx&u+`CEW9R9C%{m+#W~G
zg0ysIvLq^;9<!zJ4F23vXEhhzbZCn~@3d(_h|bU~n_pGjB;EL_3D)342VLmSZ8Z))
z`^}n#UocMnR3I?;Yd+DBUU7@M7j33C38n<}1V65)%N%m%Y+xUd;Y*NtbSLWX+hvt0
zp(sabA}q>@aSW|Zm;CP!H;2zLlUO*Xv4`zRqTMu#tAXmadb%Llr{z0II?xw4)NTk4
zyqUYA^?GiT>ZiSP+*D|CeeHt!4$-X`ab#~O;c=m}3(DP+ZvA{vXTtJQ<5=t-1B3mP
zO?ejADpFSyrv)YTyh91L_i;&9N$VsZZl&JcoIsH)DOyieP133rpvJYW44Lr{jaX0U
zg^HwK9V;nP%vRI?V(LHgAz@nEzn@{7*wETsCndp$7ox6L*rz&`Y-+pw@S4P)TaA-v
zA8n=<H>}?9!A9|ezM7{o(KEGqeX&P-zKV0hiz9?{guw<akS^L2O@DP(r&svG^6H^O
zdv#1K%d3gbhPmUPg0*T?+T4t0R@!d<Igf8qiC2pvToMjiDb;+?_dVHjdn8WPz;lc&
zxwC&ZR3F+>STwqnxr(n#sF_o7He(-Aw$gC=YmdU+<+MtXD|7ea(?SaQ6rMR-c#R8C
zR~PLudX-ZVRQJ{B{2ATZHAxp7v)1_C3;M0Ug69KUaitt1<vxjcr#@RM(RL=W+{9FP
zRgA9LMncZ{)3620fDe;pW<^$c813QU_~nX-5U@)e3)VC|yVi@_A=!~GlAI<zC_Twg
z0`O%(l45idA|jfSU?@QYDQ2EO4tN;YNq4|BbPh0pW~QY<-it#9=SGmsMNn@j7C%4h
z_Sys99mhMFXMl4RvQ)CLroi@7+a9=AMMcBJaULUO)lWkp1esziA}(%l2Phw2fCpf2
z;!(y43xB2_*96KvvJgMbr3*~y`t{ctzoMYeUSxj_Cc%C}c1nj~j|G_PPIl1{V888z
zr$!0&1E3`g#I6m4--h7>AWGD2$j8^y>NlQo_<;Qev%ZmF1X!r*%u-5p*vdbs0?A^-
ziG*2fqyV84dmLP3b5JLuaIwe0y%*{zzTxqt0y>t$WXoj?cTsiW`(C`ro3r&JW(z<E
zLGEWVzKwsh0MH;1c;8pxt*bx2Twt$9bCDH<jgao(-R*xlji!)froM*1|5^!8DH$1`
z!F9L?dL|<y(cl=6LF763-p^NkBj0=!bc`2Dca@iAWlyAgF_z`=WN|Jwb9Ld~mLfjo
z|Ek>ovv9lH%V3ObN!|DV!DTAkrf@RZer*2wl{7(DIF7)GXlL@~^Jk;1PGtR)Q{o{0
zgrkxc8VWtOBXGUcf>G|&D}ogFZ-3qe^Xf1@p7|M?7rY5HA_d<^0W*@xA2=ITM#+(R
zx^L?14I4xi6ue-$0(gfc4oE28mX{mhufs8QPylrOt(-Gaki0Gy2AMVJZ%P<CKq!Cj
z?(W7sMNr--TcczhpF~Hu4NSg!|2{h-L+;`aZIp)ZDl5;PJ&QXq1)~@8sW~|~{9b=Y
zx>vyBWjE+X=pzPu3?3f@-45Sty9caGWjqc!FJ53Ar@BCh!v5z#E1qX&>WNu5q<13r
z3W8Y`bRr6F9bkxD7r(Cope$hNKFBp>=JWiJVkU=9KnMEFO2CF>m?a*-pxQ?&lx2`h
zNbv1CvxbV&2RxCY+vk6In-h?2;BuM*e?q(=%kt&0K}lgCEwoFd?3_HzVw&MdJ$UF)
z-CLjyo7iA_)7r2TecU2S(Y*{LIshYaqi5vQ71%Hd#8^QTZ8XJ;d?OoiiEZ0l2Y18T
zFtBhS>b2mz7NWSLY~<s!m|_GB5|>8WV7Kgwi~`l&^+%|nK5<U2^J|{8eRF=oz=kRG
zm@0cG1l;iG%r0Dn#OsI_rjSO>EDH_sFf!4)K%PRO2Pil)FyJQq4Hy38B6l{m1+D-*
z>av=tZFuehYp(>)Ndon1-ELsP^qV<cAjAQiMYj%Eo~t}Bn)o&D5_<?z)a8B(l|5=4
z(!&NRJA8ue5H<jB$9IPw23BexgxIucjHBcUh-;|34de!pFn&uV%H65S$vdH;7(Rlo
z)Jz}*CUObr#-t;TBJW2~P%Q@AjW8SJNl191Ak+)5>7}-sP(&}@Yba{=V|M}yjuIbn
zozL7E;GDx#?uBkNsP-(<aY!f|5?@Gs4A<L3Oh8U=JR}I+)i^Nb#I-khWDbXu1q<x&
zyh7V?jTZTe^13=Hbc+Cq$<7wlD7rk+!|uQuWWefx7Q-Je5Qw~wyMStwh#}nG_!RFe
zD$+5V2sz;BiF^9`W-|@{hLG>iHueS`H3SbJ0h4AZSk0ktJ6E4YI4L;*>ALiNQi><*
zSWAkRZ28!rh2Z5|$e90+5Xt<Jao}v<W%5o$Pm1l@MQWkYXW;SjtWI0Q8f^71u@3)&
zyDVs&|GirJpU{~9d^%zMnJD+`aNU|73Eh0F=uvKd*Nyl%sVn!B7^$d;C{xY5C4!Bz
z`)WUOzbr`Lpo+Ya&9d(4I3vJ@!XnCm(9isx$;cl<^G`M!JH4l`>&Oh@nLb?}a&fRd
z|1eSJ;~YO4K=SY3ne?4w)Xt^`f6gbwNkFZv>aWVEo_&TBMFaJ!FB?k;W#{8*<r+>~
zi9J#>Tn+oU`sv4IcOE!pIrf(L@l$AasgZ%fr3wjp;Ubn-OqpvNp0fG`l<=J0KsW95
z{Z5&B$u)g@{Xg(krN8{}WuDq1Mk;bSYCk;DC|2@GDPJ|$(SMzZ;NSF^pk7ToaX;tB
zY(o5pYQ}T3_JVa~f$t<$Uh3Uj^^pDrB`GY5p7?$fb2-fAh`hrsYa3)tKQp*izR&!w
zo@lqSlQ-SoMDS3hl!Sf+iZrHM?qY_go+jUT^i$I7DNTWTr9>|AYSuKpV$)^XXEDq4
z^tjJ)``ex~0Ucj!qt+UyZfB}z-yC<rD2XL;+K9z5?&2E136Y=z>fOk@pTlV$W;Cbd
zN*`X{$q6>rYR#()TDO0xD9C&EFK)~QVY-gjc1-%7pTGcOEwX7F+B%Rka62F}&j}zn
z&?0GR`<j?HXjqW(5!IA~bn=Dft@{!VJsd*;7xAOO%1*kBU`+LaEo>N08kj{wZ%F-s
z@(&Oem>;S6Nll<fz_&L7`hpV);?CE+_k4YAM$5J4#h1}9zN6!+dN<vYr!!AmL$XtK
zMwFTPIu<jw@Mh>1-@g|JgDE6rjl&w11t|M2cvwSyH28t$1uQE3nn8Ci!8BK7F0C#G
zkqW9lvQ&BV{u|`raU5LDIAd_a7EOG=kKzFc<19|6k`K_5f&cU3+y^<*;&vbg>TYZ<
z!=;5zpEk!=+`^S3+VJrb)&FwL1)`6(E@ds(ss}L^Ps@`nWLdfFhfGy0q`17BL=J5(
z-c?ES{r<9c!x{gIwZE7D{nf+ANB;FxLHZRIgRtgQrS1v&F5|9qeWlkO-#Zr0@fJgQ
z`8tq?nFQw{)AZ!<3cq_d^e)1>MzO^P4C4^9P_2iVXrWs1{({~KW4y?eUHHcz!tUkj
zeW)-8$YA(E>?@3|*wdjuAfZ1TP*<<20+m?IUhC*M6@CYS1qBz^LDNM!4%f7P9#Q}s
z$LFnJ!QSkSPUt&HY8Q5FGRl6erva$wNlQz8lcyxk39Rd$RM(0XE3m^>15f}A1^5O8
z80I}6Iu3d&Y}HA$@TB?-=dZ|f1fJ{dTnJsSIf+cG1M2F;_7f#bgC%Whw-I1d!8(dQ
z#ZcZxJZ2FO9w5WZ4bcgxTo4%nOUE~S27DQ2ZR8^Gm;enlG&ur#mgI((FE`1sT1ggv
zbpQ%%#)5r)m;CunZG(9S1wI~Zg#=L-32%5L?ZJaWtR|Lb0Hp*@2_Fna@bK^mJ`#Dq
zBP($JLCtEE#UoD+ia-r1oWB|$U2$QyNldDqa2?c$L?-0Mz+)&MAshr>L?Dub%x$je
z7C)M!E$NXej}9Ekop{3Do=Q)&L9y?@c<5S?l4)7l^<>s))=;V0FhM@&cZ{l$djjta
z?Wa4wHaW`!;b5@ep@#?Gj}m?s1(C1dH`EOJf8NP&sta%$hD5|fw4iDtqfW;Aeddx3
zk^&4bB4@3`WB?c)0`T4217)BNnZ;v-8lxZDWRQ~R%P|Y?gr$i9CAwy@FAqZscmC-r
zUIHRJ2$T2BMPuEP`6+uK=o@&^rthe)E*_SO=3G1s9sX>W(p*Ag8LHq`%Dms(-5PZs
zZYDuWws$sv%|8C>8ZOQ3vi3A+h=+$suoU-n_DY|x@9d?;@#+%z9u_t@t?z{u6xkrm
zhXA39xyp;>;cPBeEDA9?PlWPx>-IF|ahbR@hJ~c1?I2=xjjJ~`;T_?<CrDdY^$XlA
z-UT%MCtqdvMciSLrw7qfpoq}!vmL?EM+Pz`4a8lWDRSa9lW7qV3J}5Uh=J4bP7$hb
zVI{={eb4Dyn-M&AbhTJQ_zbZeA#XcDmXTr3IQW4GceS<YMwWSbdJ>@J5N=OeEI)nX
zq#hJNHpddoNNDZuCjI(AENYXDkBEoGJ$X|0`nAL7XPdTeWu!thih3aNl#HKm{L+OT
zb@&|$bI_4jcS;noU}FNff}R6N>AgKpHg4RQm*|B5fk7T&z+Zm<J{OGr%K;+`%wx!9
zj-k$MzexBNb$n;jN=Q)o7l!A>oZj`kr060&fJ_gF0`xk>-NO%Zva?HCR;)!TQJcek
zEWfV^?I*S3$lAn+g|hPU^7rpkKx9Dsg5A0~-7)}EG8o6M`TAA_EF@14znjlIFf)z3
zy)(QAi?UG`L@r*I_37E!=9y=ZLmuGoFo^3tJWP5ubD2@X>0kTbxz)pqy)I5B_tt(7
z7O#j#1ESEi<-ipK*#RP@g30%p-+57@qtkbLWx5>k`tOsvozsHEh2DJCQ}%b4DSNdi
zE_IMC+{(5iz>Zia?-p;Sd0eb6eY-jnRc*D3(V6<C#eaL%gd7t*Jo`wYF;z{8zE$bS
z@*-1h9%}c*H-!sL%apZ(94W(5n^ww6|28DjCr4Cvd)q1y&-+jLZSM<VCeqL5`F?2p
z!AVuSx>9wUOgZB*{v$U1n=k09#HVM{eK?s|Tl+*-j3^OMWIx_7qenSDHN1<Mo2WTl
zdMKZP-?jc1WqQmbi*CvL(3_@TJ5~^RA$k7KQoL3Yfg2@N#?`Vn`TO19?6l;F2yr~m
zPG#5gkEw+AD}z1!jvbV=(bsaNJl36?#lq!eTIq<n^)=#oc@1kNj&ko9zd)Pb#Zesm
zy5INQx5RO-?Dsl!zoTdZFPnyb(HS}FP5$+|#Ef~(^Ur&)?Bf!mOP(${bVXSG`j0SE
zE5cnmS9I^3kelTV!Jf;~L}R$8$V>XyR>TecpSn%!HHbH3jup8sTbH|!UsW$pu7n-l
z-C4)VfkAoX<4V?5DV8k9%9s4yoZub(!CuA6iit=xt@$)fPm~w%zijoZ@-bo>BOX=`
znMv<tqQ0aT%JiaF_L{mjO4P2FQpz*$Y}k07`&G?f{zFmfeqVnPvr<KVzPgcFOInYf
z)4npxl1wZqayGg0WvrHX)~WYsX|G*n#mB7ry3*pgRS&yY|9pLg*_gPur{us?XE#Co
z3{s6hTy^Oa-x2*>#yJs&TH0%RR|(8t^+fQ}+}m_Dw)SkZEmohsR<zbTj=hzf&2if)
zWO<C>H#AW5*Irs&`#X54BTa+&p5C>u!fPop6U9fN4KJ(Qk-6kp?5#rOW2VpLPp<o#
zDn#9}Do-^>$!8t0dEd|9p1HFtG8Nzdb3aC+YVL{=@k4IrYSWE-P5Za(ubPc@Rl6r~
z>vWagw$V){GD(-!Rr>P$PM`@_OK91w7LqwMH`Xh5crVLOkv`qO9Ed1!IpLQP-*|y;
zNwFS(=ps(-q5m0>a&zDS!N^pz?DzZ3(6-A(ca8R1t#=>SEZSY-5;`78wEpN9CX^y>
zdq*_ogeRD})|jp)<n>Mbwp&;;K5bcA6M2~S-oL6aOwsrVgDw3tnF%xD;QI{xU(_eF
zPMEnaGijMnP3FG0gkY-jxo;%Luyl4X-8ua1&^>>ZGqnta#p)36T`WGMYyGSXc%wg$
z*$h)WtbYk?CNyW>+c=mxCxoakaXLreYUi$cg(-b6F?%GY|Ahj}QM$X_>T&+#E0bh{
zcPY($yA0cty=bqhj20vHz}zM0w48|=1IA>!gT{hq%_dV+2gJ$ZbYWg5*^%%r9Bd?h
zyL$0J^0BIl6cc$4T$?Ll7RNRTD}lsB=rWSZN=su0_mKiA9Dc~8It8u|xh##gse$Wu
zoPa6EChJ9y|MIIZD=QDJ$bzz_^QY!@VHK6S;+C-m*|$3f-gpdZD}&>gF{&3KI==q?
zHSYmm6apf_IS*p*6l$aWBj{o0aC%y<jlWI4!{W9zDY$$0XN;-1L2r{aX)!lhPl87`
zHpuFF93cmX;?31mRi(~+C@zoJo#WRNrlBdG`*xj=z<e5zgrw9_BX*~d&`%&5;JL)|
zCedv|sbCA(9hHqd1_|}N++zsI0`Fqms|2|jUY2X`$~Z*cEeKk-qYXq$eTS0w^lpTI
z6_a5upt~o6J#he^7==Y(7^ejCni_V2v4c4U12by66@g{|XA!2^z>Y#fjBZx#d-U*Y
zq!;Qx9Vd1!E*bnK0+yEV5NBk{bbi-Jy@a@_6i<wVQMf00dKDE1AlNVqk5O^peH>M_
zMmgt>!vuklaU@d8delBz&Z?8Okiw*sbphu)7!aBUqH{9feSlmnxCknz@Ph^!R)<(2
zKh?^pXhOY22ZMk4Dd<Wi2>b}pmkY>k+p!}7#KyUEzhMaTAIpL-W`OGw1Tp?Mhfw4~
zY6FRb8KfXdNe~c4{N^ML!O`9AxN9I(aF9Wth@Qso!^2BfArLL%5D(Sp1Q<bwV>ttb
z^NA1?M9!PZIS|lmV%qLfax4~lbts6urh1>FaI6<!kCAg^Y(1C<R$2UgVOj+=Mm^^f
z>$;J51p8gpeVM9PuO7?iJ=w=WiMClh<`RRT4?u%K53P&Xpm!Fyr6xSEP>HgBBeh5J
z_0Y8*N&|oZc9@*(2KY%tL<BsxurOR!LQvRZRt1XJ8v7xTMFc=xjLg8b`2|<<<NYfk
z@$&GPLZM{_GAi?Yicwk{n5f9eNB~>nT`51cLE_(AAkE_M89^z8Gn;OFY6_i_)2-m(
zZyg;MVQv8}W@2h8w`b2yZmDjJG2V$R!^+AC6dq4v_C6{HFL&(pX%zH%;GR)%so5c$
z{p$;-BnV3pniSv?{NRCTqcO&QK#bwGKbE`z-Ph-p717<T_}F~j<C_Q>ndj&hdDi`y
zt;#2hw#G)Au3eY_2jr2|X(0%I>rN>@++%#2(WlRwVe!&~UKu0IKmjAvz0`jI%R;mU
zHEdDT!rUlSmv<c1=O140#WmuAz5wtnCIiVxNkPc=9Ok<BhY<Jx%#^c=Z~HNV3Qtjl
zqL)cWyq+*AoI3--1w^kXwt(qjtT{px*m-y`l_N$^7%ffK7jhmBej4IJ3>r3hziIxW
znk>Y(sTU>aCF1h?eW?d_Lz<DoKOs$ooYp1Z^6}%5EhXHpM5bXP;6urs?#G=l(XAir
z68hY(D5?5xxNLTvZ&M+M@``j>tiKqKC)jLJ0*9#Zm&jBjj^PGD7HYrMROBq3+o4%B
zLV!LRO~k_j{ugC$9*yPN{tsU_p;=_8RN8mQtPCj$6(uV3oS{-OCL%L?H<&6336;nY
zLW#^ngEEznc}ODjEOWe{EB5dEtmpe%?|R>RJ%2o_UH5QZ=XIXP@tKY*0Ji*fn8Nr&
z`p{@o&46jcUj`k^cKFHme|-AqM))mBTn@hWTwDOfMvP2O-a)_Sb`5(B-yY*ARiEoW
zXY(+h9{Ezlrp=o}_6^ocE2f5x`zs6tY~4>4;Muv879>FWO3e6)u_y2C@>{w)pu2<g
zHnG+Mix4~|T2{@1PuR@Ne>OLX>r^4zSt1N-d;*|9e1!fw$5m9=eW}VF*zav_85v#2
zZtt_;fglX<?vWuOq}c6zIU80Azqxj@_Hc71u+nFW3s@0ENtYc&ttT&_Xa;aVkb~KQ
zrU|HbVZG9rSXs3|#1J?RE9?z#@6d)zXrcg5AUhd$D9RHwGJkf`l;u^TjEjiKH>ww?
zf;^lmS`A~^3qSy1gL+y@LgcuflnLxh2MV#}0kF%%egHK0_wV0$G9)5UXR~l{tRY7b
z1Q`Ratd^2M(Qk78d@be!47zPg+`y!@oEy^{2~ybwi;M_|fCW7nxZ4mzlJ6+tAB}yP
znTdJNhtN5N3hGs(=Z3=$T3MuGLZV;U(&7dTw&_Nf9l{Ld@j1dqc@20Dfd&AMJQ1ae
zk<Xq0Yb`SHIJrQgAT`VbK55CNrnrdE6(cSHm@RnU(EE_{+uPdms+41v!P+%zIAq+M
zu$!lk!+478qlF7g?Lv>dfJg{8km*o6Fs@wrrLD8QeFT`Pi<47uJcfn1@Ch$LlOikE
zuEil`YGPsnoiwuekkcs!E&yZH*uttU^FSkGpW=}9aKn8<s|tr1xNaHfeaWGVXzEqA
zOEalSd{|1go<(}0SdJF%LY#iGhxr~nC)lDx3-yrJH+nbkv$%3yVKq))m)rl>{^5U+
zt%ExRDvzj&XijJN9eZM<rnC^0Png&Uyd9unC+f0z4ljmT5DpdwzPo2U)_Zx<9Zw~;
zjeL+m6*DH^5bbPD6h6)sdHX=2x?I`y#3!1OuHetqma&?3#8JE6fGubx)IPlU@soq*
zL3-7x>pCfMtegQiHx<40a-|B2UuN+&(hx&J6SvTisAM0rm)4?-;I_Z}*(uWI4F=cQ
z=n5@4H!Sk4CL(?+dRLBK7W7I@RXjQ9Ul4cDOXcG%q5GQWkn0FBZ^lb`|0(GB_X_q?
z^p~H!SF7et3;29WLjJ+M*_fU^)mt9_ePWe~Zo`d^^M3wDrXtK8)4@DLHJXHI{GRif
zlarkn2S<wT8L{#kzy7`E5oJ@!YK7_IfW3r=^p#ihLctfzveHe4pM2qHn&G@XN<Y#y
zyIOi`y4q0t+rnWb=@J^-a(lm(93~<Ji%d{iLNGCc+F-F{*2!Z9S!B{YcrBxG-Tzwh
z==`}gMQ!p@JaNvMglUO^uj)hQ@Nv`W=f+VP!{r68t9QtJH*$82DPc@ejBr{wzIbso
zP;^V<t0FC~*^`U3UdL#AX+3^i_^Hf5$T^6!5EUn5_DLEmNoy3Sp0ZgfSC^N~BICS5
zS~ickbt~hD*4s<OTK&BqZQjgY6<xp6j;S}9pN=}G%PnsFqN7A-kYPk+$L9}J&Ubzm
zT|a1&#j;mkPO&(pxvj@dvv{-csY~mwO7`k>4j$0s{u;&4z0f-L>F4<QVCUY-Obd82
zNSh)=;3rR<m=~MlrbgQ>O@Sxj^@Ga^9uzqo2>QuCyRK5B3x$^Zb#+b6-~k0l6F~Cd
zs6y509}uu8#;}o-Qx@wS<pP`lrCoLyi2?1_moHyBJ3D3VH=%~)Si%=;uj?m&E-lSQ
zJ|ePnk(DV1W|rCi<Rd99o}lckEKRLK!1{<La&U5*hMBgex|-Zd)6yXQK|IfJZ?9g|
zROv=0wavE{`Y3;#pRt(i@cH9M1~2u5Jml{KMM9CJ#b1j#tH#g~VY@EqqX1iDki&kD
zm{L>}Fz1j&@3w9EsCc0BV4$PhFC|p~cYdl1`DM2+ec9P$fL{2S)Zc&|(C=sBl995u
z7ntfUdxqv4%2yOS0Ix2ZVc?b<>K0&4O0jlj!F*uOmfz~qlFi-*br(q&5ny?s08Guv
zMU}-KmcIsPH$WaqFEAo8v9bAmXRwhjX9#H>3AY?;66*#H8g}9}&?^FXaMPN0ax_aY
zJ^>=1=vkB)_ysVBT!8u-F)wgQ0Y=oixC!Ay)KS2TWy35?RkB-`zsJq578&Hc%!{Iy
z{~OBu!~-akDzsI`Z67vz5L1|RlR)l}WC^mk;3_LyXty3Yy&7Cr*47S9jF_avxr99?
z-o&oEwg|rrg0G-P07j@l5!AI^4&cnCi;b8I;`j?Z8CYWInayyFLTH|aBSy#A9W!em
zV{inrB2lP>n61SX1TaG&e=*6n3WEha1(!d=W-li7{+@Lp{Yg0)5FKGQ%`4mxgiiTA
z1Q5LBi)q6bh7uE{pNsiUG+N+D35>em*n0C2Am8QlkPQFn5Y5GsLHZ<?3{C*rCm`oE
z;!ad$H;NQY9~OfJeeLEk{Bi*nKTx*7lQ^-;!5$De;L$vNamG@KS<YScAd|oDL8qIA
zGnI^^<_YSpi-R}{CO1FRvMxK|%OG_NuP7isECvQQWPzcC0J)F<w)D;ZZAPAI@|#sW
z_-p&M`jfyV*REBX_C5>!BLUIteKko;HmR%}M(7kgAW+pIb#3W;++Heremf$TCqqA3
zJBf95F%C^cORd@=A>rw=Y0tk}00|u7QK~(4ae-=jQ|1=;vqXe3`V!P8if&O!$$&d|
zCMPHBtO-DiTbCbNd3-)pNH5R4qkrkxiWLW=-eLs>!l${J8I(bv-oH1+EyEMCDCUZE
z<jJM0oM?mkvG3<k`W;B%MziC2Djo(Nn1}ET*k!w+1i*7XXFtnLo$X#~hM(o^k&t+V
zJO(eMmy!DaMhh#ewQ>oX+Ghf=w!nBJICr<WI9dCEY)^b~nM!3|{;-=UBw#zFF@X{l
z%eE=v{ef;c+|fNG#faQET!p3t&sd3R8Y&X(VA{uD;TNu0{)Kn{{`(E89ST@>l2&vL
z3J72%UFSd@v1;*uFvjMQNJ)}rBI!eiheOWR))w2JN(dL^i)pza)B`^LVJg&qv0#oM
z=6ujXt*?NgmOLbyiY|(>0rA_Nom`OV+Bu{Cb?E1ol$^o?O3g<#vNv|0$GlVQRe0_r
z?<{u`$9aN2g^4kE9gfm1aLab|z&b@LE3V9Y*H)m=BEi3Is*qduZ1WZ{Pf)~_3zI`q
znZGsKSX<}+fg{;izp<b}*t}U!|5~v~jDfCh@Tfk-;)#csAbu2CF$_x=5N}jX>-o)~
zCv@8-n)aGZ4f%_Yu5KX&x5;mk{J})<a{7)W=5P`QuTC=!<qoXcVKW-ieY=a;<kEa%
z1${t}LbRcQ3Q;Iq!t}jGrj#(T;(vQ-t2AZp$X>Rn{Mm<-BR`Mk(oCQIdW26~n&S2G
zYRs3S4RWvZBYmpJEofKH8O_@J2A)=We}ju49{bvAsct8vUHIP)shy;}7djQxBq;uM
zyIf0*D-k!CEcEuq??;rc>3eE~$5Wp`>lWo9N{ll$`F!#GAVO7(f6YoPhE+59L_DMr
zDy-_icd1a`yYpM$uofZ|v$<|`n4LL4nkOknIL*qhkR1O_aGh5ai7)*mvf_ockp>gb
z`6il+e=VNcQpxOUPKZU)I3<c!wfSqy2veCNZB-6@^9<YQMXO+JZSeImT?$dLuEt0`
z#jWFKDbfCBSbcsULy_6s7Qdde9VZ9hTE3N{)lHv?UO6~ep>WnJ-~;jb+x^dNG7bUe
z^<$C7v_+^&L?#X#k$SQJf*#=_?BUT6`I8ul{PotjL+a}DUCi$e<c3(Lu8q-9)-I=)
zqkYHu_|k6rCj~)V3U)gQ(E|qt6F-zzXPa6Lu5IssQ>n9iZ{oTl>W>(fpT{G2vUE~j
zNQOG@w^3hDn9AOL>zqN^@!MzR;6M)HGdFQVhco1;8<lwSf*`hATI}~-ln5N8Y>+%I
zb#J%(Xqd|7zOtChH{HL`7u|2Lq`JK;&z3${B*snXD$8E%ESR?A(dq49)0j<s%}g=(
z-tFnpRKAW<(h|cNT~SN%n(Y|ZNV>m{2vg3!siAgxO>AqWR{e^*hN{P|Ulm(Nh$nGB
z3K~A4OnD*oJZYunrdZldY>tO4I%i754BKgT%!OTX+<zdX|F7ol3+pH+#zG3r=DWiz
z7}wINP}+Sb8XF%8-hQ)~VRbTqpiZ@}*dcjOhCNl{1+8sg-j#4Yy>Q||v$52X`FK_q
z&JUhub4oY53R%A;ZdM7*8M4_+y*zh{&CAi+P+?O;l#EwETVO%YK!_PJT^Z;<vRF_+
zzr*JKgg+5bLwWX4I+j*6<GNO^MC2&2OutJ)M_P6<5`wv3jIPUW&(X`PNc>)%T5?!f
zhscjpDt~MpUPDtfqE~3a{#f$mBgJWbPUcmkJ2}35)W~fZa@R>eHq;^bh-+uxHp+`3
zmt#yug}+x8rFIYbt8OjYxNDL3T)_Kh#J(-N{N8J1(0Ucr#2$^ieTlAJJ8{A_xgdzn
z>qb(CvQ@Iec$1UIP2xqGIQ_^WG4s&k&{sFjHXb94SH$|;cIs3!$a4Q$<@I|_tjM}i
z=c;KtB{PCkNQV0M(%wiBnYEuPuj==Uao+(&w@|voNc{%@`QN+2GP9HflQ$Hvj(uNI
ze;gMMZEk9UCJd+~tPh3hWY`9HqxxrRJJIyRh=t5`>-RoPC;$W(PG!Mqjj&8-<iwLh
z<;27=+!*XhMOdh8Ec(DVV1F?x31fiX7Z-Ey-aUd{OiMRbG*^U|Wi_~)m&ag?5YDxQ
zIuBnCgbw+35Lj7R4WP8_@1Fy+UHtw%2&wzJ%H2<O77iU%P$)Gbdo*k7!LBY+k~=+p
zuil-&?kgNrYEkz*;n8MhW@=C=_R%ug!_?WDd3W}u!9}7NAv;!YY^<xd8;}%=47{k+
zvmo9vPEPpcS&VZ7;)rHET@1}V{NQO&-~iwX3lF!*Y{c*1c5}*eamo`GjQZ=iR3yuU
zQF#|H_MrR}FjnYpt=|iXQg(sYGFkpmtokQ7(qIUHn7{5bdR6kJs7MZzg)|)M7?5}V
zYma9>jeoZzBcZkr8Z5lAG0b@AK7n?Da8l#;J|yqSuzZ_h@p;5W1iQ$|q0dUacI_QX
zOlTMoB{T_)40z<RV;_+kpQI=htKNtN7NArVFF;xl_T%70o(uGfm<8|>;Bj>h1|Uq1
zj`9f#LSpXT+kn&Iy(a4GNifn-LucX0Lh%KWV)v(rZa{OU(Md;GTOEy?{}-m4eimSJ
z_|6L!7UX<E^z!ft>FMjo#m5`xItoG6gcK(5a3sw>`n&pjPw#HUGpGwl6lDpvJa_gi
zIV?au0i!DCNxU15qr-+9tG;bmI=o%*k!19tVa}DR&!}Cey(qMB?uRIK;j~2G;P-WQ
ze!Q~y^c9G<I@Vi!ii5QY=X}_Myb&24d;4)*r8&%p2Ix-C^DvU413mz_fVLeYhGFFa
zZHoAdAyD2JyM>MkDKveM0AR$KfQCY5YrPY&JRqE)%E4aCV#u@T&kwk=QTxsUmjaKd
zj4CcYlgy&w;_8GY60Rc{pZU~vyr0H5@3?__(cH$}6JsLC1Q?+3=z3^%bFP?=t|Djr
zAuQ6=q{!RCcY<Cv1&@Hdi#eP!3UR4#QR5Z|RYOO0Tv@rMjXeH=?GQbf6oAob8AvL1
zQZzX5v7sRgFxc4zy;ERP;nN|T7xg`?_2LC!+{vshpuo>eS-0WNAyyOdX%M%ekSc2k
zC9VEg`XmBNPUkh9Od*vIs9531EKn?1e@w;u(ET%5ZUBo`+<owX_s)yG*{5wlOW4??
z82pf*=w8ka${GFji`5s1uSNHzmaILJlI&htEx-K+nll;6?f|Ryw5bMw8Hip9H;Cv$
zo~z%ib~OI+pIEm-<4LH1b-4ie?F=n17nX)d!tTxs=`z`pH1m{F_C@=nzWxm%N0YS?
zJ#k#{-mZnU^75WCOKodnL`B7kKtu=BenxdmuL?UQfGMAc2pzt0SS=$z@}Mi5SKJzF
z>}a@G)xilTLPUdK&;6sHOq%KN)MJLIw6t{D#bZ&b<m@p5pw<*BywF!u{Avq_?#J^5
zZt!HN`h*G-myQfEgB}8bTc5)vl0=VCsgITbPR(TA5T%!Fk6@vI`D2o2bW#*eGN^fg
z!#N1=d8YOb3LeB2W9kT`q0ilhfo(#c^oQy{O9{k%{QdCZ)<;RfQMX#z$*BYw7l5Q-
z7)L`}zd|NUHCnGTU*M&aJb%qC0eb~40-+skZNDVbEtS8xci|5n3}7<?1Rb)KnW=Zl
zZ5?gFjmMiLRFIh${U}wH_kFB6=G@{L$Nf<j>|DPC3PA`y+S=NRBRf)_!EPCd_ZEKX
z#Us0O=aFvy^SstmH?SdNKctWw*yOuO?i|eDRCIE2DM<guuNigdJ}FX!fQexPGjp`T
z8dT_bJY<|ko`9hM8jas3Ahw;F$d$5`@#g;i<46DONDN!TmYXi=o76(=#iVUj)e%w<
z4y7px+95OqIJL~&z$*xHz)Fz2Jx&=ZM!8q&Ig{m`8E7|rum7xb-<B90hilg6xri(H
zaL>69BndDO_ryWK!&frW?81dMh!Yg!u&X29SJ^<=;0Aqy5WGC6FX-@xU>8TjLP`(F
zQKe?+?xk*Zg6%>#LPnxOFp9z)Hj;!RJLNTREO#S3u*?B$z)Tk)?C7lYO{*kAl(?B8
z_&_g!Kv|4sq%pysh_)Bzs(e5TP<LW)fYUqZ^SLk5mkr%~=lGwiN2guoECTM2&7r%!
zorE6Bu5dy6(1lzO!F&60wgP4;6E_Gu#OApsAGsxXY)F&PwmXAZS7-|mHCGL5A)Gnb
zYP8bnsEKxYH~vgwky1Q$YI1zsb$TQUohlx`(e6^DEsJ9=`0hQf^}x-CYT_Bauo39l
zCmS(@8^MvTB>1GXKKN^t(q)m>-$05_KHSGt1c5a8it<+?SZ`FdFk1D$q}HZcp^t~>
zyJOGv>TJ(N4?J`b!@+P5*~pv516ALaTQ3)p|J{8G8+`!YZ?A?WG+DgH=R}B-LsuE=
zqhrx}d_wr!=}~^yFZ`2uB&37RC}$1_lG5?xy)D_}ILFE|c6s6XQVe#IgX89FrEmO@
z0QM=11JKNF3OF3K4_hy!NR*hkI7}PSoG_%t;nZ>a8a$+KYSLBT7?zPAp@Roo(P!g9
z#{or>m6z?v=~pi>DFg7_Ev3BRWar){fa(t0Z(-Fqot?+d&dmn79h(>ak%69G?`Z{t
z{a1~}?K(@C^!A*!&VwhPi4=Hi;vu=6rSctLqf3SeiGH_3Srf<<R5J*zIP~1`D!>u6
zovUxh0DVFcB`z*5jpP?>kcsn#*W_b3ma#b93m4+RK7xZhE&T1}xno#lWxNAFe$c|i
z2J=+zwDu>95$*z+{CVUQu4)JDQY@JO21uk#GtN&nsx_4t<(jOlEP+w5SvV9}U(d&r
zIeQTi9Axx0G<llOhG2_CB%zh5Dfz&F0@e9hDJ8F|wY12qb^fa-4|4L!UkmViqc3x4
z!p1PjYOt)6E1tdIO`2tKL{TGPn|eRqiTj#t%BpEQMFwu#$8M-!gnWL-;lbE;asN!{
zCno`2bRArgQ*C|sJjl-fKm;_eNTV1d<vFkwqw>U9QF}W({w5kGt$#tvdxxWX;Ic=>
zYAV`@n?XxUYpfr;#A>YA4W4)O`l}B>s1T+{!OUpQv9NC7DS#|V*Jj#e3?et;0r)Vq
z_w?wRrb}ri^bFMl!Pn!1N|d6jr|0_xRj@`9P&P=T>1<~w%so99tA)=Bgp`eK4GSf|
zGl*Qw7hC0py&)Defv+fngKa8shjnfdrjdQ#yJpKrCG5!KeD+wZI{5Z(_*)1Re7N7I
zJAQXVyj|ttosDD;-~kvW3JH00h9x-a0mvBnSp2}OgML*>*2cF6D_y9#6YyN_&)Yp6
ze_4|VBeoLiATkCzI->b5nVCsq3k#5$<;5IL;5<te+%%YUXu-j+tTcge>HhuuO@^B3
zem1$O5ulJkPc0(x8izJc`vs&)BdHTP1vcj9VWFW{QGwtlK)I*EBD|0p;I}=W-^|1W
zmv-Q<BR7{J6z~2Kd`nd9bI=8<Jd&!#=>x3Or||WLs>pz4v??ef0=v(dKqK<3$*@!w
zBsn`2gO=S_hTDFVQLpXS7(YkKa&Fl0Bp+VV?+9K0H8R3mU4rXH`Z=j#Fep^T05DTC
zy`7HrfcQ)^(EPxbHU<Q)5e*X*7f*lRTqvMPR^NZa?u~{6=oQ$qL{(mt@_6~N+dDWs
z0tbr{%D=PUb|Ue#iAg((C=tV)bR_J-*4Q)hPY%FJ@;f3V6#6hW`{}a9^VfZ@6dCl8
z!5RyCNPlX@lDLh*<oKKLqvDDJDT7PoCv*~|J47p=lqtaVeNIkJ4uu8^Yut^40Bm78
ztc2iqb<+HPXiR}M!In>ED;A7@K7i5_qE)->7Bm#i%?G%+;56rf92ka9^iiqXEPS!b
z(Jc_XEPimM^w%i@7;_wMLyH7Vw7t7~3O|c~+fJsCHA`brdpYsk10u9{K<$7k<^HP?
zTycl~Vx+Fm>ASFMCv*<6N9lPKS^)=yQyy9PXK!q&pXp&$`>+E~k>PxqClkp;dc24G
z2`_(B(w=bi==}yofPlc;jAgW`F6aO6-K8mO{+!~ZC2N3OYjm*NuS(*lhuN;Tj5*CT
zBm{81TxM`(dzd=+Tk}Pk^*dYw(|3GiEX<~4xf!^K?&`iQ<5e#mlYGrUakx@9{o4w;
zVeOQr+Z7QFr>?u+;if#;E2ppY^)2r<xqt+{uEqpXqcah)aLm`ho6*IPYwuuQ%%kC<
z3$*Q%kJxh>_N4kMg5RO|6mkpch8w7^H2MA7|NPn?g|FNd&es0zO?=2VJa+x5*<!R|
z#Vg;Zil?)~C#y#X)`qgZ4x5P7B<w#Z$rj3rj!{nMisb8YE!3M5pHH!=Kd@DCHKs8$
z5<1s#Uchc*y<o4F<4oqRW0u~mLW@AFFgC1E=q>fwk74tQyOQ#UA8r?EJ@3%x!l$K6
z5OESQyCvc3y%qbVVl^=qsTh?ZMo4>%I?7bh5Fulpi*zP7+}w|4C<N^hzUOD=4oBQy
zFOr_%@;yWvTo~`8pA7Z!I_HSF=u}_Tao-fn_<!n3MaGQn3q;;h#O@Idjp4q#$JMrb
zY0FfH7j>-gm<c?wC_?<&*=x@wCgytP*a;yc!TI?glkH5vd5k5}!Y2un`LnJ6NDt<S
z)-#rGKOR`4`*gt2r{Ery`Cx>PO3(NY<B|01)%2B%3rXq})za85AFaC{Sx5UmHaV=p
zAfb|V`u)4dtjA-f)EL8@vj_SPw;Vo4EYz$v(jOas*LZxkB{oK;>htjTZyV%JwEPn7
z)1I(QmTD~gqQ})1#`7qjcGiieA%EBpYAWYyvC;*xq=7sAvTxo7G}B(x^S5;0$W*mB
zvYJdi!|VShsS3pdZYlzO2SPweSwDJ1j0$vueIzt<Z0i4ww<>hGh!$c`!BOO(LQ_(L
z#{;D9$&(~ni`iQk)i(jY3ka`^v-9uTBLb<=*~8(yMp+mx9&S9RTwK`SG5(Gml;~O8
zfK9?~xl_*sB0MuaO{gYlqP~asS{82x$v<Q`Q;4U4KsyxzAhZFVzjl{*;Xe=%e6c`a
zi{!WVc3W(}NV`L!dk{J(Ufz<bs!_;CW|O>+%TLrV%cTpk>7<rOOkzV8L^=gv45&0v
z>tMUQ?BHOH{l!?~?HCwr4Mjyo?1t%L*z09Xio6in5v#r*c?M7>6<Rpq5(q5`gf-Uz
zMs^=7-317S0h*`XkfIg3$akfoJfgn3dIk~Kz-s7ik>~-)yn_zEchzz+{2FZ$Dp5*1
zS`QE+)osWy1p@Ovb`CoxDq;|SkN}_qm)y5+8dy?n1_~8Sx^tNv&`Z)5LRSh)1bDXR
z`Wbzw3>1|5S`>WImnwAN;ATx!l-IOgQqXBW%Aaa;rC!E&VP1oZ<tZ*SX>vGqN|={7
z3%CZ<JKvms+y(*GaRZxGGb&ef13;goQ6K^#*}3xv>N2o97jbeyGT)WUdlGe)Vnb8Y
z{X#Y-HHRgcwwgm7w8dd3=*f8E;!I!;yZ7zOf-DBZ9dSp|+^DIkAyEb5a7eOH72bFJ
z4pSF?!s#sAH+6Mn4g{vk8(g^X6ShzYA=FU;qUInQ?O1iKIR9$ikTP6N8e13)E?=%1
z)!o3<yMMWx6~mzq%L##XBT|6)k9Vb|y$FiH0S3jI<CQC0B`m(e4+1G4;uQ~ouo`>|
zF-ETQc-*yXM-Cr;3;hUOjOJj=zJDKWG>gQ<$}O8VZN<!SD4s%kqs8$k{Y#o{V_d-$
zxUk&FhrfFH^6xsK9)$`VRwXBUQQU2l^^o?$CnF%hw_;$x>Lr)a#fukF?f8k4rcL~h
zrUAOC&xXM~NOh?ghkBgn!~<2wGf<5E+kBpCsS~z|5jo5g<m-Et3D=7l0TqL*;r|c?
z)<O4KmLiOv)Ho}G6;Ef2CGjYi7a?ovI7K}?3XnUFUJR7V<{Q2~iIN2je_EUHazGu>
zaOt>dV2}r}8vkxr7Z<<xpr{l&aEepa=ErhhqmRXV3I7+TcK+%~dCkG)p8XM+6-B}I
z#!yRj7@#>)dLCQqIX{g!3!5tl%@TNeVCU25#XLbzb_Ec7SCBG*Z-Z_E3jy8o`3YtD
z36*8*k%J@p^$h*n-I-bJqgXf0mV7L$1HYV>uCK_%5?7803Vk+jcu`qJWompJ1yMMv
z6`aguir&I@{5FB*=kQVT>1=hbHW-sT46tM9bkL0;g}~=J+4o$uF&0?}c5N*CcH`*(
z?hp9C?!*#a9{!S%f$K>^fO2R!@NxQiUi!&x_^{D=+)(0fc^Anb$0Kp(EF~M9nfArC
zUBic=lApx%NZarKpw$Fg1x!sN3jT(~J<F>z3grtnOf*WA-Fx?9@8nJH1XAdiS275R
zQAdtDWH;{xdWeSRX8$_CFyurO<_MT@1uiS(*f~<bO->9nlG;DfFe?;XpwzpX48Q`@
zFZ&d}p|gfGjd-S+h(`)-3XlRAKgZFX5by&ca@n9stP`~h;wgHNV~zM4q&6C0w(!P{
z<5=#nk%vV@h`_m$JA(g4hQWczLqC9IiQC%`lKCcLd-jx;l#opkaAq{#C~}al7-PWB
zACd@?7^=J#h;SjjyFeaUIqi|hl-@lrFTc3;-whsanCiU_2$2yL9YZvaNHU3Zq1;An
z6SBS-2i-760K{o+s<H8bn!374Y&!U%cw@{gL~YgYFL@D-ojp5*m)MutdU5^lJEkt6
zc*SmO*aT~;*14t6(%OhN3uG{Y)gV>Cn!`V@$+OH~i}%CcV!Y(*MV>2WFy%V*?>+Zn
zEx7288`%0u7zkJ28hLOy2e4_OZ9oSPvKO#LKL%4GJditg$A1`RkRnSmjr`_iP;;e!
zZ1M-1k9WXRbt&X3kiWm$oG{0SyJN{8gX7QTKXgj}Ga6?5^qdTB>g>V+;*3zAud2HM
zqg=}_M|G!hdqPyi{CMqyx?_}*lscv}oChokcZ>SFP5e%)<=lt=W_hgbw^(^)&k8S7
zz5{XRR}+mHKd2LzB`IG1H>)pX|K*i6^(ppC@_w&)B>|?exJWuenSrTI(}^U!ZfQ;@
z&=l1luP#g4xwVkh_s|+C%JkLe>AL;tlItl>`UWoL{-u=%h>|fo`HO}lEOMOj?02f~
zPQ8ky9ow;n*ea;NYyWG7*FR6IABTUSy~`@jex@Z}C3f~h9I;yPQEZPIJ$y0JvNoB-
z6B`ZlUBR!36P(+bzvnC{5qD+T&KP>r5Q7$qPuJND(i42E)HRaFh-axrcj<TcOAvkM
zcEu+D{80U(zn=by?U3MM|64)CJ)v0kqB`d^4q|ly`*)uW+(!8zaTwZ%;>vR^qS+g1
zdn6>DDi&NEL^*5ZJ=d$t2@5I@Meb2kbwY;CX?kLD{}^*_4@#?|V;PfvFI+V>i2h8&
zt3Mum_*V<?{L4Nq?@FbFiLHb4Z=XvON4Hn^{>>1Op1I`~CyiXj?<Xv>8Z>gWW`m+7
zpF@~`D(G;rnb!RzzGly;>z1<-)v-ZJZap!JG@|j*wHfe$>}2k<{7A{;oSuIgepO3p
z{{EUBao5t>({8OHY;~lX&(VS-+yX*)aefQYV)$HP+T6GX;c}-k_|_B8V^bEVHpKtj
zw=%kD{5OAI5T&T7K{eOs&3I*+s;z;P|1H5=loHvw7t%ixo;|Ls_Dvs<+eLtf<9loV
z!+@fj#lKM8p&;W`Ju@)C<vuFxQOHdktNEtjB%8UJko32^EpNZD>suwoBqD8b=Kk!L
zS!oLy`OB{!AL>8XA)8EyoHN6muCRcyk@*_Gvz!e9ADn2X?S608JX}HLAP&Y|2vOtV
z{^je)duRV+&dIFe>c7V$qlqusPbVTS>-(Pz*{s{x!M5e;#I<a(mOs2M_3L~I+d|SR
zufSI-g*ktl&s8!db(aQ<`gN6TkydHreX85yc7zDptF%~sv7u;vQ9+L-m8JXEzB9!8
zlkVRI)W#XTS_|{<bQd1rw`k6bBdl(xD33lJCWxI57yYo|3M{E&{?PVITfy&*s79gB
z#yqP0p?`dOIBzVq+4-SiVVF5l1#cF%7E})$92^Js@1L2SEkLydxjCMD&$pXMTp#vD
z$n<eC)B!T*!PA{4W~Su6k{f{us3AbI;LLEidKJtZUeFql&;TGErRUX<fi{+taEhJD
zVI`$9Z254GokxZi@|H2t9kO~T*s+&sPn1C66jC_66lpf04qZNUoH%9>$?($A17aS$
zP^RFt!1OXylbB*P-*+=GB%~Gq-)gNHNOH&-a$I77$I%F5`$6^Gh$;hyEnkQ7F9180
z)~_vs-~`AI=fT-;XBkkFp=l@m0ni)a*X;#j<M;Zwyr%Q=hMfc$9-AwPc@R)V<5VG;
zJN!mWCx@F0eL7f1P?X?`h5?*-#%^?4hZ>BNGZM!gs>x8c6kt7MPGhExVf?9WurweX
zn@k&m8ikB#Kqd46<4GX)9UMb#xcWx)`#3;;7(%#?oW&5bRTlwk*!x*l-$+R4jX54P
zJ2_|oqy|6?P{@9a--Y3R%Rbw7ay$m0zR;l^Olq~unrtMteD^*(NsbPIdgW`Pma?lQ
z{tggOBqwa%vLy$?Djg~2|HF0pm=FG8x>UA9FHE8yrT|0T@GZf+9Y9%+5{6w+w|!_R
zrIBR$m?OwS+|5ne3oQ=19W6T(G#6~1JY;&((OaAT5{2%WoRWk4g9W7$r3xLcjG*B2
z0Y|LUt&x9|gJ!CgWf$j3{{jUw_qHRBwq(HYDacbaI)?b&0^4puOHZ-@SJax`$8?6?
zLZFg6z7o|P{2FsP%P1~;e0)4D?*cnz8@=PgytCTnlDmH?>;)ZI{pHJsA~Zb8&(Hz+
zEz8M6K^F@CNv1CEI?s+@dNGg`iNThgqO*t;83@NxKxTm=K(Y(UF^K?Ab`};l41fdm
z2z?{YR4|JBokmQwhLzO*H4Z-}?;aVu<v$#^{=G39Fu`?e{T4JD5qixNM6tbc<+&S<
zK-Q%qD{w)Lmj#H=PA@c#`REQq%=vkEV2U&Y8G<&>73C8^BJ^KPxOd3CfvXrIJK$K4
z_uGSA?}if;5-tqcMmyrlI(V!U??Wdi912i&KK2IGk?#|Kp-*_7nVIS~jC;T0F3xPX
zJ@fc8KknaHtVS~^!T6W;>%Ye_!qO+q6f$Ljnp1Ee<52<gn}+3q;uSjPo7b-sS#Yf)
znhIq)#ErX=0fEVrE%<c&BWN|%5;PH4Vuao%WWeV&pl~qJ^mKH|WX>N}tpyS?s`bf;
zugQVUN;#fJlIW$L>Am9df({cH5tisKS=mKY4B)3YC2h8Pp-}vVC8#tDQPPGbrFD!a
z@Gl`|m^wntcVU(xo-Aw}d&R^y?nlCxmYv-g^zjS7hdqI~K6tR{lRymu%kasqAeRA9
z4dNl~EC~$h)jx+85RY!{XDH=n23}R7Ue$iw*RkMiX4ah;t_hSLtS)>qhamkXAAMPj
zLi)r5izt3MuDs6iKX-Cjuf6M!?$OFhsU=+Z1hy#OlVtctIMV!BSXKaYe*u%Uf{{}j
zYR#8|dAh%TYwg~>d*yoMKsvo}YRa>MaxKgDJB=6FWj^K474Q1~{Ut6upoCn-f<LAc
z7WR2xp9Qz&x=s>}t8@MX{CHLobLi~xd{M)|wX*m!r<(hdgD;;YRskEBLaZ6y+sD^e
z4=OQa-hqZjkGpP^%dPQ!*Hz8d-{WsF2n1P~mw~_o6({W`7%7Op{{iZ6fV8CF72G8*
zBLBc0pJxx3(S2Ex&B3;-73PS9S*`iQWMaEw@bt=@hH$L1Fpms4(3{K4`)^COk+d^%
zK<1$nWuT`={{z3k1QfXEH3c#DJnj4%FYqHecHFYoXjMoKwbsG`v4X$@5GkXEEdcU&
zcr{47Gr4g?8?T|&%ET1Hxy;8LYx%go9VbF@CYI>4NQAfXKYf&T>43<&B>iOJdO3kp
z|7FzXduoapCrk!SoEXd1PsS)FhA;Syr2L_zj+~n~*u?sW?r&w<LFHdgEtw_9o}P7d
z$Lc9`5!9;u{P~pNXJF^qqJGv5FDPC}zT0c1tL5O1X91xC1R5l6whc4bLbRqgP?*&A
zFK<1b_|Z5}2tcPDxI3P|Y!i*h>;locmxvnj0SEmBGoyfMB=+fyUz9UvZ;+Vj(mNO6
z^UUJk%`5Ii7?m0AZ}NryXfpEwJ?kGHSU(K=h5vDnT4CdOJ(efw=O=Nltt-M|Q&shH
zHMHFPjLZBG8Ey_3d`&w@OHh@utyRgI{EID@Lv+CO`Obj4!H9Gg_8bgV)zx>nyhvs*
zYUM8&zIgc(u|u(&$V>@MQ%gh@l}tcG`8Kl-_hVxr6pB7R6Iz(ui<RSva|hrxXkAb2
z#b{_y8z8u-qP#p8eF|<QE*{@%%ewoX3LcBUuYPLog{PaFOuG3`h63pR{}=1H(tyC8
zJ)<B?>F~rsMw#Sjf&<c}`_WZRel1u<cvK#5#XDgR#JziCFmMPPyk3i2#<*sUz+xcm
ze#;|Fdj;SM#CP}h_6ESO8KsJRa`QI-luxy_4mfJGT$7wHV^dpzQPR&8bF7XAJ>GNf
zrf$384-`*ll}@*S6GP^ehQ2X?Fm~Uu0Zj#lI_$K_D(gdtyEC?QENfi+B*T{wed8}-
zhO&owA*|p_!cOYJ3nnHT*w`lDFmRF)yWmG~04M>CudK`j8xD95=P-T{T6}BTYlW@X
zg79vT41h%V0=w9D8MkMuyf`XwnAT%U!_GQ8Jsqr#NguXo<p~_^lQ@_Q{9Z!oPnv!3
z$Vr2SB-sdQ=d&1v_x*bn*ccqusW9KCMr$B`Y`KycZftG_L5mu|w=0!-NjciVgN9Mm
z$gTkR+3K#)59lQ^vIv4M)<n9Zl9C=^a9twCRe!G{Rl?YU*0W+>-J`<RZ)Ztn1g~fN
zmX;*`?}XR$TXRp9Qbv{-fX?|>jA@i~TPdN#Ar)J_4r$+8xyD*LeGSLK<Mdv)aw{Rd
z*}XUDZOZ`r;g_s(XWpza+_I@)_X}4>qU51fOqTW$q9kjV^~oFt;-|WXsDU!k_f^om
z|JpHPt(3H<qjKzuC#UlGZ>-m@WVp{L_tS*$#?QK@r|Pv6G$wb)z0+&o(|FBJDT_=z
zD+xNRa*4=t)w>?Q?kI7wBba(P$(w-?%xloPUXwE~%&ZgXNZWqa;h5`3A<<Jxe3zdH
zZi{&|`(rf`7MsBm7eiBWi9bK9c%syS*vw<CaPjJ3Az^xFQeA`2nK0p&pex=vxV^S?
zGj)&1dBW?()yLmhc6m_wsx4lAYjIjrw86OdV5YX;3PLpZJ8zJbebA&)NoQ-h@FJWo
zgiv@r+xPh2TPY2)t_wU3y8?)5kyP$zk@ze0?N)(2Z|RzAD5p;ZuXk;UPaqyQNo<TV
zzcW$ux3wW0J}lIxS4FH|GeH8?UO|^=?@HJRA6_&Uc^F&eKS0^krF@Vo!r`?@HDGej
ze6p9QF{{>-8naX;IAjM;PYNe_gbBr_*~1X8|5W$)F)6P_v*7~TME*rtuR;;qM&(0y
z*R9Svx%$MLzxUh5W@!i(r;E?%-#5S0va`_Qo1JF(<^}mrwyNvpJ{`2*aq%9<yEkn|
z>hcR^ANLQsh={KESUc4p;4<m_IlG*(`(d|Yu%4QMDp#76VLnlk$}4kaEd4YgHE6(_
zHsefmdVXWo^EG^QY%ibtv|dmj<?aK1nTWB9(?nM4^wu{`Yxy}h_*yE|>y~XSP>Wf6
zl2T$7&g=5XvvZXk^OU#oHfBSD*ZE1weKy*Xl$zt6f<wbAGz&IPOi&aDWS^VR5M{4D
z*Gfy@B5tkQJ`^XseI|xO?pM3`b4EFjBcrcFbt8^Ar&D6Oo~`FrE~ne^dp^|9jN10W
zX?mzn^5m#Q+Eigae@}*l_MX_xh;Ix}QiD=k#E6pP8l4r%l#)*RM0d^-7GumrExywt
z;zBF8&Aqr@IiZE{3QIRH7K_|?naN9QTd~1ex2H#l&g@32z{_WA+Nms+!Qtr>K8o@x
zm7b<7HBzcG1M;4Mt3r%#8yUw4tf3TlGxhp8KNjg-)9%n8<kwU&N6_4dq{)*(lJLIM
zqTbr%CF3XA{QBFE^45eN^Zf)38~^&i>4zR8x6j7k(-@=3i?~d`o7llghz|RnKJ<H%
znBelOY)w-<_i2^pd>YN&P~OL1S$F5JmHWD>I3VzS85_Ux4!_1zPSgIXm8{cK-V*H`
z#|VF(*Bcw_KQYqC1$MZe*smBsFcOjJ+0Qq{>}GJ97P#dtYtNXRTSqCnzs+y>s1Ca_
zu`2VGX0s24;#S?c!;6NaIQ2w@Ap_x|Ufj`FregW`uLuI^L7bVdGH+9^WE@C*&@Fw0
z_&&~h>1LsZ6~!%kKI`na;-rxgZ=<{+OS4&jtA?m%B5wAvPHWfwPu2>Khwh%GUQ#)E
zG(^F>WyNk8^_Of-972P{tuc@3)Ejg4gyO?Rjb9X`%ET@wY6GIu_oDpEAF-JbD)<w;
zV(2y%ku%!NV^P;1Ki^lMn%Z<8ZK{^w3K0Ii5L>0;a7J#9dO|u_Anc|%BtD?<jGQgN
zG&<+$t$z~P)yZJLhq8+$O~q(I|74#1Btve<ju6a@bZRy-=F*lwDiidrtFv>6L2PQO
zv5j*qir{rcH8n`ZegPT-FC3dVXBI#V!$5lNpMS9blk*i0&cq;6W%l29Ap>Jk^g4b-
z@p}$M9-30kHOu4<PUO&#kdtAeUBFi}a@A0CZyNs7o>3jpz-jom-9Ro3()&1yz_TFq
zJaQ%vNr>ia{|p~}wgug-5Hq-e%BwtZXKtY%A+OaRVhFPPQ;)h2Y@|l(tfT$&+Y=Mv
zNA>YpNx;F6fWAssDf|<*<qE$Qb|I^a7j<nyP<0I6Y(zHzn*^H|YL0X^Z#dEtmu^K&
zE3&Q^vl1c6AaxF}_mUz`=sjshMn^ZJcDG(fMy$M7{zJk)vqRIndhJ?4etvv(Q=aoH
zO@8+_F<3aemWN$C9)RGiuy9eM^*!ztVv_C!2b<d1Y-eSKH|t$|&VJ<KurI}wswp5Y
z9NI)T47@&f?g#!lXgS$o;3)agOP9Lp93lZ7daJ=D3cyf;)dINM_0Q)y?C~Od-smw5
zK7nGZ3q_!M0vV!>ztKPb7+8$J?WI*0vJ(SpVYb@4S6fF%5<N4@xk^`rQ>98RUELUA
z^dsmK@IS<zl5;>%FGNn=!eN^9<<An$#>L~<vPCAP4oQ|pMNjl;%S_Wqn+nEA6`>^u
zcX*}mE8nLJs2yIXr#~OE!UN#D^bM<RpkYdVGKumMLW9~Z;K0ZnC+hDS+zB|2yY@Ci
zPywbaNdk$FwJVl}#**zk&C;4kuO@X&T2EYN-68f`O2Bs5`suKSMor?aike}0`N~a8
z>jD2rsE8oh8N3wN<YoCc<lDG26V=21&+mju5Y8@XC4C1=7>I3#3YG_ddoHedl0N-y
zk%l}8Uhrysz0b?c-0wo{&@k<~Iz)SS-vRz`R+fY6u9GZY0*@p8t<HHnBxV$^x2E(o
z$MGJuxl18(7`t~0tk`imL(7!&l<R!eB%z(ZEuL30ftHvFqt^fM7bL1`SVEj#)=?hR
z9arrXvZ5$X*t0ZtMi3?!`R$B_4?==)XW;vaGGgu2Ri<n;**O3AIg1YoudmICAB9Y^
zqxB|28HpC&0j@O8-@FVP4(e6uoHb)8YOkXx7z-E>+6uc^8tHFqPHB!-o3?Gt_6k||
zgzECQw_?Q!*>z7gC9}*0e_P=d6xE?H+;x6kk>F6XcZBT`R?~=dI+M}%f2bnKO7Wh0
ztXpaB+6<(Y^bOFCG#_>iln8!E+%-&Wc$B4Fn&>VYU_oj3fAdTJ^{|eEJk>>Qk5^Cc
z43%T|ASa=`>(_?H<59;5w*$pf-*<Zx`x+wrZyBlaKe00z7p3fL5HLzBs2QTHj2z}m
zE9I+CN(;ER*DrL_)FM60B_V=2)Rg!lsc!l!hUmQP>HEB5L4s)f<>F_xE#H#(IrLm4
zO)R&K*pU#wPqp!AvclVrH`&KtKZ>BQ&1|8%6KQN8s7V_4*2(c?Y|t~*EK%QMJ(InU
zxMy1It>!VxSv>y;=i`r5-ZaPiMTN#&#@-$#*lv3ISruK~9&XSu_s!3Y@Xgpv_+SML
z&?qPz+CwOEdVISdOu3tv;?!KSSg?lpz{u`%zi(mASgyK(LI`f(9yAvga-u^`QuH)M
zUgb`L(z%3`4wam2?q8HmJ^TemWv29mAj|L}9LvP&GL~VpgU6YOb2Em4t@fXkxm@-Z
ztZWb6RBWRkwuR{VsaLx7{Q<MD0os0U0`^2};p>grt;Twk2NT6ifxpiii3KW#_ETPn
zX3g6AohPDYv!9m85MGS;L#5NWX^S&sADnSXxmI##>fkEgwlHFE%McJrqfzb|h2Pdh
z!AkW!sWFaH;%KD1)5YySrVcC+(YqA*#%5-Sh2eMJvMVA6DD%#Rz9k;n^ZUHMG!FAR
z#ws!vwS4iX=FScV5$m_9ZLQ_G-LI8r{{5YV-&9P}8sZ8jrj{HP*-O{nraH=(<*}1?
zdg|(m*_#ASf!aLJ?2HucgW1A!jK^4w;~c)e{x!*QilF&<dSl~B`)@QRA(>jHv<sHM
zE{+!x(^pm9!Z@Yu*2qn;`$^8Y_HU)g9~HRicgu0bZu`8B5WfX6rXpiULxsuH&pV9Q
ztjb*cyDTtF=IbiCw7hF2udO^diX>fG7Ns%tHT77WJwmttnH}UD5+(Mr4sU4WJJ?FB
za2qWV4j6puw6X8Urm~%FvBPc&4R@!{{C4y1P!=(Xo%Xyr9qF{{b8)Tv18XmSxA6_w
zF#j{*@xONzMS&YPZz^q%#bJW>2DT40Fn}nvW!^sp2+GBL9DPyb2P*+IhrEG`klc>m
z%2bw*aah{O^SO}Q2fG9EWf1@qfddqv=TGNK>{Avs{<(i9r7>w0Bb5WekH}>h11Jly
z#~qYjad9!oLu9>8Oig*VZRDaxH@*3@$0_ClEa6Lay##F?P9^NY6TR_~*qDK^lUuKg
z`3Uo$+?LQ!5I8@4^oRliegNn5pL0_4!16b<!n|DIK&zf)Wg+qAI7?!R8n8f5vhRlV
z6HZ8R35jGU@$AzJrMn`19L4~bKh@XL)&^Y3wrLYoB4Fb$T3fdQeg~$7R^9TBJ>+q4
zsMdojgmSpCaX&N{C`mG2y~CkHZ}dlgJ;5xxd-n$4v^3F-M0EA*HjBnQc_L@(aD`v$
zDJGhWVhjwr$^M=mQm;>%9n$#04FK=LF{VeF#2-K2&cTrj*y!Fp=7ag3iwT>zZ{N<s
zqN%P<O+y(2oilzFFnh~&llP!-e7ii~<gd$i2Gl^{>Cf&XJPxMnmJc6(dUJXJ+`<d^
z*31ujjEn4tyc2lRI%wtIz0-O+1s)%OK5Wtm<An?yv!JO6lmWwm3J4GZGy8}DZj^6N
zYiX%DoR{PX?#-J~??AZ=r6yu$5(e{eOZG2Kr>-jJ!C56Ev)v1$WPt5hXelZA0V9Ua
zKKc1``QwlRlx^dJ4jD%>8uM2#UXT&H$P9d@KZlePEDZbxD74SR5ME{nt_6rL>X)R)
z9+3!zJAT|3GgV;n0J$N527q^Sx;dhRL+;&E=Qwaueq!v$pR}gv(CbdOT5z8v5gVx{
zip-Qx7cdJz{pfIjJt`8sB_IZ1INN00bcI}y83CAscDLKKZEcU?asCkg8eA_dQ-%>R
z-h5B5zJaX(0wAp>jIUlEBy0`eRlMCF#|k?5Bvxob$UN{43j8*tZ2aNFf$!g$wrv~y
z`7^Gr9X{0#n@K<o+EV!_8Q@_hNTT`qHq6V+_B;=V@5!Ztz=$6<3IJokeS0u8^Fp$&
zaKS%Az`FZ!GvEw?-v|ICJ}AENC!{{q?_FJ5y>77S$VUST4$lCx41pt*N+EZUqPbjT
zApG;svxf!!0JiVO#ss4`DUj{NbW~wxBwoZOTxSlB(B`Ar0}q?lO?E+0Kx={|au=OE
ze$=sKEv5Cw^-md_j%;HCYzRQ9krb~1EO>SF6#pHhH_~JM02BjEdgS^y3q*M<P!Y{i
zO)0kjiJ)*La6#6pLp-QnHZE;IF7HWwG&}(D@mKMWpg^!Z+KW1hdKn=mO2;58rP~o&
z4x?DK9^$Y|$ZAOI{Za|^70;9@C^Z)s7uffaJEH2U=?b{6*m(i0y^d6HWMrf~l}tE@
z(#u7wp&u^FR8=0ZTr{2oW{n33GdCd_(DeTfZwBdvqf8ef(jKhS$yb;3^uk03F*F3=
zFqyWaeBy+rH8QBvG1@OagH~Q%WZQD}UI5<9f71dK0C>_reg3Si4W~^*W22sMDC9`C
zZ?CUH-%^V4I~5huQ1~L_Q2O9Otzjo93!u`1SIP=2-pR=c7ClfV=m(%B!5v9VV}?rM
z@1-xS^~AW)158hCeLXpUi4?aW{iqC&6L8|MdCuc7zF-bUI^ZaDQ|NY(-W>*T8uv(x
zfeb+>MPcf_&>4W4JB|Gm9xQ~_pe}WV>Y$8!6d=>t<tBwnvVpIyBMJ%@0Cq$Ea4#&3
zuMAoG;3+|D)ngb6C{RS(17SmmC@?Z8K;#FbE|aPyU*A=$S7QKRO?~}UD5)Uqg8QKn
zM@jcfbcXuAl}lWf5>^TRm1%7=ZZ5)eLR9LW03GZ2K4O8R06K2Gl0^T8SQ|K}`F#Mm
z@%*rC`}{{p@qZs-e~My797MmQ9;S9}E-@A<%sb(@)oU#ov~0JksN2=RcOd3(VdB<=
zsC->syR?^D6tb76jMk$*uvXCKsi$pMO*1g1Ws^y(P5=%Nc=4w`Ls8u`0cym<dyG4*
z?ws{tXLg_n8oD0MxP(qUa3no5=-U3Gf3*O_mzvQBXE%<oMd?(@-soPsKsa(LZ)lt@
z)KEBFVcYFoY?0FJ5x_7~o_B#d_c_#)vZ-1naNB?(v17mSo@Tlzvk=$SMQ_@+7NuQ2
zmFR9fm8P@xZf;}Q!D^O+Lh&s-$5FcyoXHg$YwbiBw!9WntuQN^Fd*)q>f4bPbbmYL
zOT5m`z~AmuA$F36!m`F@f%`l<I6vv{5g^>-TWMcR6^1-_tFa!lskL%wE?mLi+Lfj?
z%%{%wfl#^>@Bi?zuMDB+pv4h-fz|K2I0kj3UGq$+>)U4_px#JFsE&<L4p)1ZTkCEL
zHC|8L-Dg01H=eJ}obgl}VbXJEXIjo1S?w3>uBmZ8@|K~eiK8xlbobjHhYK=)JL$Sc
z?$FD#HC21AQdV3QXKnPq3Ku}wW}oLyw2Yiz51YPwD-z9rY%F32kuAykO<8Kz?}(YH
z<!ZU^?}5SMj)ba{{AkqfD=&y00=(MW62(;lYsG4H1_g}Pw~j9AjGov&wKv6y{i{oc
zm5l&%itv5a85aNHiux`3zRzD42$N$*{GX3$e9O+>=0$&hlp3MeN%N%Oa{jId*~zyd
zU>;H)VAU}&w(MAQI&WrlWZj0Ve0mw5ykt(wAD%biQxK_U_f_}Bq+jD0o%8-GJ6zJv
zcFujsr`&qzuAclRLgo%}D$?26=2^<bFErgctN&v}$I|wI=Xn_*39KW>BrMH>#E=9N
zj7UmNy>#vzhT8Pw(1r8>ig#@p`A_K<wMyz?(2-^sK~UHXl@x4c9sT`K0&s;xXaBnT
z6Xrw|dM++34QK;605^dQQfXP^K`bF=mioFDK!?RJKU3BCyY3|*W)C7zFf#|C5D3CZ
zB+CQ5z><>X0a(|E$aX-l`?#Kqj**eE)=FFZetdlQ##^M~%N=PqWuTU>LikVa9nio6
zpx174NB+#>yvAp#1K18_mVR$j;<IPZ@YS%>QE-0jGcCCbjtzquk@|;r-!R*bTU1n3
zN@^B=iY&n@jdkr%hmDVol_kT<k_zGdIun?myY|9vh)s-7Na!~9!YfD6qqA4JV&lV}
z&^0vVfjtA+a)@PffjJro3G47r9LLy?&YwFMguOqqGIo!zV)^brI6}4d;!LHd{KU}k
zaG`k(4-kXeCUBjg!k|IJuK^M=;FKtaX?a@NT^OteLXUm~$dmY`w$mA9m<WPe2c$NR
zR)UnrnG=zLfqU$Ko*+;I0*dl3D3BqL{DQq0JMb*P3S+m?VwgR_Ds7hx1F(hE407}r
zhO=D&LZ<IMwG57-pj;#kk-&xW!8K>}7$!gji-Q%+Xk_Hz01N19j3=fy0i$N21=Bcq
z7hDEb?26~j%xHDfOnrUY=yvXWs^HH?Q9OAPH_Di^-W@eF7?D1F5$KE^93f><SgxuC
zmRz7Ih5{i<2or>>BI6!NeFVCH_9Ly)_#FI75Y0G+LE?O_s9^boF~~a4b-(}kaqf>d
zwGG!9Uqi?J9;#3Ro?eMvBP&RDion4;H8rJ^)K~S?J2sZv3kPX(O94ECQ?SN@=PyK@
zba>@;pPuY??g<k4YTAXkLY#gC$Ufwws0Bq)ckU$lG*#6dX{ZbE`;LR<M0rI43D*sp
zyX*t>&r%>`z}p~RM!mNLvO7cw6E0Ij)`%MqI=&huCG8iG$e;L8jlkq6CMBhxt_IgD
zDSFY=#66Y1dUa~~dn_e;4%&}(9v`*c_sPDh_Fj0n6pUmzFoz+2#DRxNgQ(33c!3~%
z--p38cv33DB?JIo;?Jd}Taehp69jAsIrH(=Z^*B$uKv$hN~9+ZEGK|13CzjTwV_q>
z7;ZcGDcc>F19gfewDb^7SjqtL>t1fn(p3&0{zp;VygG*G2lNDa=%sL6i<8r&G2;sD
z;1GO_3sZ%QAt52yE}%K_;m24<5?7Ng#9G4<NODpgZ;F47L(T}L;j>aMy2~Q@n_jfg
zmmydA3dTg9pTUC+tZ{Wa9(>h&`^P?t{mV~@461tSUpDh~&#@RE>qjLgTO$QXoI?bO
zE}QeofN4A@yh1|g8#Ip&{{xSFQj#T<Mkvk&*0;mwjaTtS7nh8YOQ*V`M^VRi?NuGR
z(L_5a16wzYqfm8{^@`gTpju2zP?$@jRa1Jxjhj%PSiTlVpv$jcS^`KR-Qa6i`Ov=!
zCAf|>!{ym+8CQNw6EJi!GyBH$<$GYEfAd^yMTQ-wX=I45!$tJ@Qz`{cCP0*;=+pc*
z@&V@2T#yD?E65BrYq+7jHP$cPJM6MHP3f!9oan5pZ_t3X0TX7d_4QJ$(5vhxM+iep
zl^miqfk~Vq%bVKA+FC6xnDr$rApq}W1ihH_&t?9Cto(oUyJkl02HWxvAfh|t>g+bJ
zjEoFLOiBrDmeWhQRf|E?A!r1Khh@?7HHFhNRoO2Uu!?i(*3H`T^;pg>ZT5U0!Htp=
zEAjN#);++@>$tfHFI#YPJL+r#=Fkv<2H$%KVLvX8)F9dh<W!b;Kx&gAp+b$0_g?<#
z2>%(Zj$Px01_QI^Mx9l_a`g7%DEPydcbSjtk78FN_Br$gUkEwDv#~3B9Y#O+F5{rF
zFlvFzrEJ2&L4swBdhht-z_)l1K%J^3)mN@TVK{>=4C9nMVam+l?m~iPu^j;cs}>uA
zM9%`>?^<7r?E%~>6e`GC*cy=CjFC?Y@0NOcftk5EQUMDT*K=XU3}fT*?uc3!kHCsP
z_`}z?zq=m`K_I|WN5XA-1m))iGc%-4&X7-jp&q7uo8ZVf`xM8W_G_reU0YOha&ibX
z8U`5_TDd`7R2P?J7(WTlEF@W7LY6z8A!t<IKm%U`ELKNH2ijq%&Y(wIVzK={lx1{9
zCgQF?lJ(p!hb=Rfo$hqLi`I;s>*d0nO;MO66a)1yULk|%6v$W#=s%{hCBcIISi<st
zZtfhuHp=|X?CcEfn7Sn@CYJQ;5rFeU{~ka9xbg2E%6cw9GYuawtY0B2#yVX{9K%tm
zU-%^dH1u7s6gAJ=ljJ!X;;*Yw1c&sJov$ISEb@3E686NpheC%niCBrTemJ;bdvNIp
z+sKqZz5Kh$In20jn04g=U<Hp4QY+6wZ3ER68Ux@YXqRhHkE2uQ?UDA6^+#w1wyc#;
zpp(H!s3wi3GI%=BzrF<c01p8qW2p8qe+P#pJglR9)`31fbjznnKX$j14|e0bt<oA!
zBkOqB;S6v*8@)N#wv$TTt`m!?%E7^!zxHeH)+|OZ5$!VjdlhopYGV%IQF!yQ1gJmx
zGN=4cxzt{qf88iv5Cii#Q+CeoVDw5(PAJjq`Q{wsaA>{P-nRAB%)zOx#D|<PYEqKM
z3L<-k(I6tpQ9`nY-FM(EGr}gc|CH=SCla&PR=mx6`0=jz3#}8WFS1w&zu<`7E4<!5
z^v*a>bS$3I>bHsVWcRvy#H=`7A!;JUB0@XGfn{eO4`p}oeV>6=*ZqXil)CgQ@%{T5
z<t~T$mh3e@%~)i4`#I}IUO~!}`1quzDdSk~@LYO1<M<~JKXhfNrHOlVsvJ%}-S78)
zn00MbR7mdGrjIJ~PxUN$RZ>2iXl8c=O9y@t;HAIoxyv9>qKe^3Qfg9D7FVh+SB!Z!
zF}CrQmgOfwmVS=%v^7MDUoGe9nCTCEeD3>BZzdF3Bkpqa)5__ml(6x1^Tkuz1D!99
zII88b3fa;Tt5+*bHuJS=MeH|-@sU?`<sh^fqZMA?IO0kq%p6U;Ep#h!O1_JM&slZ9
zmlPx8qozIL>7OZg<E?mV=~VBf?t9Vkq*RH;`;>^WaYpK<vKaju7xn$w3e+<(izOmA
zrauSwDaqHB_67F(TslQuxOtwKIPWK*`Rhub?C1&o*Qyh(Qy*{JaR4HJnkFKU82nTr
z$Kv%TOGlzZn6JRD_|R)nG2TM^p?B=F2|^3W)A<70^RxY%LKjb`*O(0j8=OJ}m|gqQ
zdHi2g$I>(OpQMS=(W4)Lxsl5GCx>X^$8>jhM{*8M>j0d?80-xP)!1Ja1E6KFi_Uij
zsle^@e}>t?!d#q>p~P^#0zEm8Qvo&wU^UFlcG#Jk`cM(=NKlOx!*+6+q*=%Xsul~I
zC}e&21@-PlL?r1y4kuqOzzYH2y{W3YjCoAt!{|~|Qbr!N&uvoS)?K?roEHHPdUn8i
zAY_3nZ3ylmav*E+mA`;t{<}M1zAg5mZ?DW435;<Dvx$+qjey)LDqy`KeIF=s;E2J-
zGt=`l;IRdf3QchTj~^QP`de68wJw(<VF(IY%yGdP=8ky}IJZUj?v?Rem<JRK+mtv^
zFzBVo)AxmcH3~xv);jrV4BM~l=x1i8gXflkqFT>|aZaZExw*MZP3f4Ob1LICxKPwN
z*drdGkVOIVxbFnyn+V1E`Qyir&dwENm}?0A2ufZBO!-Sm83H_o>%MC>CXt|C@B8t?
z9vcHPW3c%d9Xl4!V;BsDP29j?`Iy+HX`F%DQrPXWrLH7Ly`#+0@^1@4(L~OF27EA+
zaO$YBG1>1>T~hr}MxcP9MV73le-h9W^aFHY|HuKU61|7zC+?m3!$HS{EXh~vQ$mzt
zStaZ8_DjQ0NDV~!x3vgFG4O|8NYEg|8XA&u9_xf$yXtvXmQ%4GD=K}UztG@e!)z+_
z^!&8TbF`xvST2DX)b}q~qj-`(i>0^pao_*{l(OmjLR!&WKsw9Mfmz8t;QkORvqjWY
z@#J0-(P0Jx6rKU9ni`cOKfm#cS`d7FNJoMWZ$WcZej`BE$IAnt=a8bOF1_{hw{L~0
z76JBh?0t?l5)~Tka@t4)QB+*%h0qFs@?`o2_-Y`zez$L*#Gf-VUbVGF$~jJma)7s`
zj)*8$IP7rHnfv@1K=dbbp5ZI`U<M1vrMxQSG6A?lyXN0Tiva$WOTf!u5FQd{a!6V!
zfOS4dm&l<nCMHi%5&~yMx=K~5u`IDT_id3Z)=-*)5YMz~tS&A-4|gG&Apx(Yk~Q2a
z6NwJYzANOiGoK5PvCkolFFpSePSjlNP(6Lx4SyRRP|VuV77nd9J%*}`d$}q*=KQv?
zx;m|;NqGyN=JIV8z>F>GgOEl_L6u6HYLMh)5%Q-_74X7gR&Tn13k=QbiWf*a&G2u-
z&Vl@;_zM2WON%QE3BaRJ;FC$w5WJ#tf<`n8r<&*DoblxrWGEfP5g$IVlBw#|QW4j4
z{uRDD+ZHljsj(XRPYg#){_^hK5iT5{QH=^;$yk(|LC~#6J$`Hi-XGmFTGS9w2?(Ou
zytxt2EL6k%i*Zk8Ph{=tLH_7gR#w;#pFt>2Vr@l55HO4b@so9(e17}(Ixhqn?BeFG
zwKc|NShsu`;&GN!qfR#smI8J3?XT9_%)#M*9Wmw?*wqkNs2em$bFumLAa)=W?x;*q
z!s4q!l7aoE5-7OCaGN`zb^?0O;LHM9z0i-C1o|EReF|A{0fLZdVW&o$U0W_Pnd)Eu
z*kkz`xL*k;pbKrfA3eQV6DOiqTUd70jiP{s>bv)8fDAT4v@ZBO%bK`Pz^j4p34I<p
zuy5b9-|pX6<w$=<7J(2m`qadkf(=XuY29vZ#XcK2Y2N%g8CMHD6g*{*r%qeEZ*6r)
zXKryrH0(r6R~tT4zgJzjOKWZ7R0S%Zl7AlvJSgym(iK5@EP{!rdGQ+MI3GeEJzDn!
zOoK|QG8|!wygQw#(d=877ICsTCfWp|-o0}Cc<K0~6GHdOyD%Pr05-D+z(xF5x+3(M
z@^71)=X@_H$xl3ACjFJ52gNf?KY}S>=)$CJ^rj)0FguW%c(2qnT;MyZS>(EmqH6s!
z{Q2xz^>@NuGUD6i!0h<UBqt{)c~n34>6z(R8pGXWfejJ}e>3g}7%YH8BcBfplSe>p
zZEZ!xb23h552@{k208kro%Kw7C$48%e9gB!XALgw?wb1g{MCSg@G6@`f-r`<;y8f|
z5(qj(4`kJdtA-AiSPMiNx)zHFr+<V|x1(7Zgfax~2pcoA_@__pv8|!6atGdVc3T1B
zBR=5cCm9)-sx+3Q2Z{!p{~ylY1fJ@BZ~I><yImR(8Z_-CLuf`LsaBH)k-2EtLZLw+
zLs9K^q!LAGprkT{5M^$%3rz~8nGz|LXwdk7|FF+}&biNXp6B&nulsdB`|c^$TEFjb
zeXh@SU7udPgajn8{;Y6qdPzcI-?eL*%ZpYdONYattZ+7%9bxu-tuEcVS)Aa+8yflW
z#NLAkvs=u0cN3J128DJv_`I0UT|HEdt(Rn%%c?QG?uND$BD;gMw0VXjtWxLJHEuI|
z`gBL`S_&Isb`^{}Pk29cnVFdxZV_4#kljsuDRAWD#tnP8a}R7fP@S#=lr-@<d9&5h
z&Ypc+8h1xX;ziwAZm|#1k>KAT+6`lc@ro67loedJ9LT~@%aUW$k>&ne{zfckGUWHx
zJLLm~4Z3~-@Wy*GzJRx{Rh;PN>6!d=#9J0`nWkS~NQb9S7njX%GCoE{VSCx_J0D|H
z&o`@51jd6`OkgXg&sta7ZMJ%Y0{>8W<qrI(!HfS3@^FBj5&cKb`~Tlx^)9P_H|fyy
z`WuVq6gyXkdmhZm-fZ`#>nkZ5-^V=E8+SC*@P<K-s?iVWX(q@tI$Rs2eYU);K>qxJ
zhK-8dqd!i&|MiJo*@~Z8`}F;H?2rnXbMEkQn^%ih2~*%D_M=A142byIx3|B)_4bK-
zrWzZ`1qSu{^?Zrg*8WNJ`{eB>W8$4_{uF)uzUEk+Eo^jjYFfPY2I~Ve`hK~h?4SQE
zN_<eW(bUzVyJNeD8g=5-p)XQIO-23tM<LbQo@k@-m$v!q@$W~8j_k^1lJYO2KTmW&
z>-u@sZ|{Ov4iMcqK3-z6bnKbUxv`&>k8Quapj)ulU32e2e&ZrUM?!KluimhAHyt$D
z@vQW4w~vLLzYINGI%&|*hc`ONDs433{{2fb2$5gH$URs3?c6@T=xw4>r;1IzL>hzV
zoApu_8BQuuvDQ^RUZ;9{y5FMC+eNj%{It5zVcx9dV|w>9uUZUhTASSNS1TvG4|&Gl
zHqKLd{D;=1XA%qFM{&8I_Fg{wgtB7AmZo3diDY}*{ut(yd3oPhoxH^f296?le7QjP
zwEOLQ>DI)qNDJPQJ5_x0bg%O_^Dmok=n*_#Dmcw)>3GrnpPr{QcP6|KjxbszB<vsm
zr#YSfTY{HMuo#26IOZP#DJgsD4`X?!#QecV;O2~a>_Kg-Dql!W+lpmp*kr-IM+q|J
z($Z4ySFSk5NxWe!;&Zo5hiCj@?@<oxy}Ycgtmqp0tY1&k!NP2do#V%_M(3ut>fxe$
zZkw$p%n761?cBMuSuqx4?wZ3uLgaJH&_{FF>FH?uSx5AoWMWc6a}yreT)6&$l{kGF
zrW2#r{5OVv_C&D*{yO3K03r&?swvwn&bV~uzF6A2Hxt?FzjW(+&iU?85e-ntDvEOt
zH#Z`TaXSD`?qL8S-z)`t4uqm$0P?zd)|ae_zmYc<3Wg)<@OMs~dd=-iUy=BrdCtUE
zKf(IPI2?!rLAl7_Jv_sBUZO}6=cvHKRr&NOt;}sTDOwVVanII$>WYd&BA4q~SGt^T
zDV$DxI_9&FaG}D%f||kLWG9P4s%=S=0Y2{L#+q4!<d>E4O#n-}cIof+qX6GY$i96i
z6B4qy!Qg@eCqpyCT%%W~Z?=rOn|E=yq%t>J(v({HsSn2pU>fj&#-aQ92M@+;Y8nmk
z?uiIu`p!P?9H2y)={I(=m`QMgka<H&(1r_}rQ=Jo7Yk|i`}gb-rtOHZJ{Q&64j(n@
zpsur$Kg$K4dg6z;9&-9?+v<edcvGe>MZf_kt#}5$?pBw##YIfGxkz#(i-{|NYYtXM
zQC{A3Wv$PD)=VfGCvShoe7i{xbA|YOBhTLF0XX~|Q4U%12hsuH@`2zu%Vj!Zas9<s
zmEsv=60p~;)A8q=W)+&B^+BRSUMce`Q)6OdHT3oM_4GUd3=sL=-amh6jUaoFsUR^i
z5_@6-SY^P_R94Y};9+x5f=2`*Zm)uZ0&|2=-MLN2C@9~F0MqL>xGzIUJabXq=8xj8
zRoxKsaV#?|mM<S{c4Mrit+#g;ofv*Kbq^O4VLu_1g@+FLa>>%47(0G^g5Iv6pdKaJ
zd-mJ`)Ug@~u45%aY~hyMyJye*OAS+FAQWE_w89R7&mv=xW(m{^W+m;RL+84#hPDlv
zXS>;Mrgbj{K0mrdnN!s&a}d{)D>x*?30lnk>qfc;EY$EBgXnGdW(IRA@{hl6-du&|
zGydcgEcob0@Gp2Z)tbN?o7|(gS@U8dN({AUHPzLDyR$)(e7S7X`Fc05UcE<SnSH==
zC-DE2HWgtU6;yFGV%YwpS01{5BJ6GrCeD4~;qh+(#k2g|rl|(MH(Sf2i!U3&v(VP=
za-Q1E{Ft*UlW%6LGb5fM=jZ7vo!IeMnhbaN!t&L=)gRt5vV05`?t)dh_~hbPN)+)t
zCcX%!mUA?{VD44X(0>N-ub%%6;HlOOehinDTi#Y1Bnw)dpzI3DJnQApIMMzgxEM0p
zAi4ZAP;wA`4R8)q421Cnj2gGGwwCVLkr`Yde-PaD{UfHN-(|OcXli1*B~K^=N{q9P
z<CKIipd}nDb2w+{Jp285KyCG<x4KXi;`;fxu|lqbn=G!tJp@S1!}Exxl?}wpvb>!6
z4$QnMwf8Lxt8=(<D9)oG`|MdyoV6l)<yKxv{SA3b91p7&FW!ymSYE#B#S06LJ!<O6
z@t#T4##J{vGxDh@yBd>7pSIl?j3Q%(*_Sb+b&HnOP*rKV9@@9BBYAu8){NfcoTRuY
zv4QA~y_Tg3`lYt%_$=dw7%@BQGysJb+;ohBbbLTeoI=(x2k0=~KFRNXp2kLF$a~r}
zyJUQXQ4!0dSh&bs=tv2sJez)DHOE<+TDg99musLff)~inm3%gykVij`=HVj0@6dmi
zZ`MBBtK#(d79FL$6=j;~lbJ8JuspA7P7k@|Dv_;v00U0!cJ11U1n~mWk9f~@o}N7e
z<D1<6RROY}yuLjR?I1fu6nJPY%1_OiHLFLUW>OjJ-eAOB*xm$?^^EK`V#Nq9RVfhO
zLZN3*%Uka$foREyACdOArtAy<m)4^{XceB5)fbB=r+LtpIk2^?&j8KhXZ^;kHcYcn
zsC)HFnBsl==ySJb$R82aR2Q^dnhVs$w}-ZU`KGWc2A`j{kI!(a{f8ES<C@Xl+eS((
zRreIa^-_(YqM16AjsC>vt-gqq<DZ`>fR=j<*3z1Pf)TdBU#Z0uu;`BBuM^QhvnjSB
z*XCJ!stBxB9sQ}FIWb}_gbC_`hn9nu89L^k@eF=ndk@Pi#Ja+H<Rv<mcU8pRo!Y(v
z3&BJU=`I5KAE7!!3)8iG_layVexN6FmSOb?$?edwV}kABJjh~pbml?>Qq=^?1{W<S
z;iyrKB+5|MQ`3Qv&Gqd5yLP3>HZIBL*{tKYg+R61T72K=kuXxN;wk;0*ud$PfWVpw
zP3+$_cDBrLze1=F%|~eUXB5RB-#+;XK4G}sE8hMPe?;|=7#SYHqvT3tHn%cz%eA1&
zxZ`iIH~8N84ba*!1?e`*G(>Ms{JHQ@wGx0`;Jm0nSnG-ODByP#U7~?Q>`i6?XYsqx
zYnyN5I}seLy8HGelz$d6{x%O{iAr+Oxz*_M=A{?WYN9wQ`dSx;d4L_7>=BkH5exZx
z3?DB1P!m|Yte~~a5%jXI?gl+v(m|jW*|Ix>gAtf9w*Y+@6IFy-Oi4i@#@8taDschf
zr$8%#B;nlOv7-xwJWL&zeb@dItXwZN<MGyI>KQ#<I-@g;jnAf};Af5+xy%SuF<^AU
zik;n`;_aq!CVa!6>K{;O>&KaqHYiN;fK|I!RAiKx5)o0+ddVQ;;RGJGr;x7Fcw|7r
zY!W(+x?{pARN6%IHpw6@QduxJo0etQzI@5S$jkEh8b~BgW*q^}&DVO?-ibCQw%>VS
z;aps0eIjs%w5i1YtzbElxbN1Y{E&7CToy9xqS(tw**pHAP+-^$XzZPqZZhH6RAzmp
zZ`dpKqIbN*ci+QD-EPURbS$gN=wIV|O<$DkQ?W0*Wc#Pli_2B~2Fh5iXdLeKJg_G1
zZLqTO!%u5YtTG!^H8f7&uU1Fo8+$HdxbIJ0k*l4jY{lu-DW266(t3&(w_iMCqH{<^
z>Xfl={Y3s%6%&(vyq;E0vKVY>@VTbDC~4>oahij#qG#>QE(1!X&c`<vozz(5wRuv;
z>(4TVQFc2^i}D|Pr`^um6K>IzG-Ga|-{xkG!TDD-Jxo^ZpHW&rTES5NQiAyFk!xKH
zO(K@cYHc|vGOGSXoS;5fYPW6l`rpw|m#2;_pCi4x)?rqNYrWe5&0+OvpSo-uw$N64
zYE`Ga!;d55zwI!4S>WBLXhRQ!H@TnAUFy|)Lt@s0#Hvd9ZI+1*-Nz4&(|yoy&xwjp
z529{vmlVIqC_8NDK5>Ik64dQ1nCP&#=+ShpA@d0>Q;CIov(1Vl9N_=dWodQogp|*k
zJJ*gWbkGk7D#`zW+vPM8(vc|t)o_p7OkuVU^*W$GR_Vm?<7f}yeh4ApiT7zy4UTrY
z_4Kgk<3NVQt-JQ$st2zRANQbEJ(1YDgXKgKv-P;~g+V2pY=X=S=pp1L9~il;h})i1
z)YZx9^SMcy<o67{UX%2MB@7|~-Ux;kTBDqRy5p4;6`=?9bac$p32q$^f2*x6xYBha
z6y-`1{%qx~GMMQu<UfF(MQk(}26qS+l1Pn>hcQzV)XmMC4TB1@1>m46X*}RU3RV&a
zCimi+)vGb~3aLhnUV>=&DJWH8N{}r=7?{2?wXi6Mq85^$$o=ilTu6ajEh++0xpNS(
z8xCCC7Er6$*8N=oKV%|#%XKH%Y!d5Lf{T2Z94UC**?EGC=TBwY1Oh=^)|nU%VkGbJ
z9q{D}!vMG<xnkqH0w~p@KT)5Nguh4}qLBbU598;wc=5bTfiMcD|KQjEdr44czaTj1
z4E+(cxra1v3-B)ywIY(Bma(0~tWF#1dRu-h(?*`%`R|(*-cl)$`lt5QE6ZEA;XFs>
z<nz^Jzs+-AwQ3ca{cxFm`|>B%>ihphq%kA*(e*qeqH7lXfQyb=Y=sA=&3E*_5j}E9
z+OSA{uL2Cv5v=5Z=fRitGg^mcbHyF{-=jsGlHif;p_?~L0V%qC#>AENHx~#wP7g@I
z5UxJ{!Dv9V<Sn`u)(wyQCdd|j<Ke@${0{!q{1^UkBDLDQdADd>wDTpS55YiuS8f&=
zp(6pb5ol6(cU`hxr~y+`1w{uGyZgyG5=rYui`l@FR+Y#9p1AS}5imejD;pcG<kEtI
zsS4a@iw<2go;fq_$Xo7nzb`M<%j99zxutx;y75~Hx<h;+sw+=?Ra0})+sBs%7t0&I
zILrIPitE$w(1DWv`@;pi>t)!AuUlzB5eeR-mNg9}5-g#hGVFFqNpCo0l4VN6kFf;h
z11Tg9QHr<C$mCKYx`Lg=<p{8)i@cU{e1+>Smgkk0E38)0ji|NEh1~?%>49`2<zml$
zrGAHW6LiA8dpDyqVy6kjBB2>(*<N;p&q+|qu!oqKAT*b#vzY9I;-jS`%Y`5104cq_
zl4U91)~k-<J#1$vv_twhwLyadB=pa8oH=|rg*0nduA=1jYGjF{3ERLM6v_}%kS9&L
zK&5TI%GuI3ZlzGsdIvwucv)XhUuA%ZjcXB^pe~L!YGY~*R<2wrHhJWjPik2^<o;$d
z@nP}lMmc7h-?{gWn-bvv5|Q{x?X#y(?>0IvCIVyp^<B|G<bo?#EH|u0(m&>Jnw{t#
zvD8E;@$_-qKj*~8&d^?(JX7-7+>)onRVhMbZ=zIJSBE57>eih*TAzkV6)pG#Ku$;>
zi#D)#TjK<IxV)^aNC=c>yT^J@N0A_M%lrnHcpx402aqW{Jex7LqICDyf?;BBcsSLf
zvj=kudIZ)Dy*ORcq}fJDhT+-QmPf%R_gm95qR;flj<t?q0)Zr^AHwGfHxO;v;lHS$
z3!X@^W@BxV77h}IdmYG?9L>wy$Yma%J(c&S)W(OG!ePM6iUjwf4=s!?CFVpJVc~=u
zDJ?ZKsrolT^r2QkwA)!lx{xac4~Wm(T=nqu0btD)=AceWZ_%|#{cPM1>2+Wc+4cw_
zxHT-7uL=zKRl~1AUZ|P8iBYRR%V(#}3CMAx{Xogcie*R%au*Z?>xim{uLa(jC*Gxf
z37%#qFdd$J`@&Ed@EL;yag5N8ijAfAn%$V!gn$xW7%(ZINV>24jE>W&0twpXZ_NFC
zX%fAm`)gmKa-osz^Px_$XV03N8X+Q@4h^fNp7qXAOK|YTi%a21j6ZyqmCLnnTe|;u
z?AfI!vEiBACr6GP;eFCdvPxgZP(D;wR&Or4!Qw1nNJZwIUYzorI=aPxwf~GcDV)ro
zSd&27N^}*#=Fqenz46;;LQ@E;Ar1$XMsf9f$Q=|M&fGY-GE5D0?3Qy0aw6HDaVh~p
z!#xmcOyKv)*%7zdT5f0M;X^2Y2_6yF4&P481ks1ruP3tBiK&USN={k`U!Iqo{8q?W
zL8}Lxoq6080UgqD!G%jXp6)dek88WOa>x#f4yHj+vBi5XXWoRB)qaO&aJr7nLE#T)
zlJU^|ywi(v{)^UmWv6lSav^=%Muh$wTB*<b<HwuaLkGH7)h!(?kM~*gk)&y<O31JK
zO|2T|IO}%wSzCI0*1W0cD;lq59Dm_^Ew}TESLG%-S|dkB-OQexqqP3^zGL5CbrZ{Z
zz6`19o;muI%=w~ghW6XsS9LglvpM=|-q$Px|5e>G16=Hzbj$J{D4lDkp*i38QkTY*
zo`LP}zHXOOeRNEuAfT2tSd_B4By!eYB5ys*2`g&7y*G%4xIT+od@^23``gm%9p#2y
zew&>f8<x=TUQY{|W4Yqrg7dqGRF{dh()HRe{&+g#@-->{jV~{$&n+$zm6rH@9{EyP
zQ-17n(YP0fO`D8TJBY3*8M}T7TkpNdqNw}g%!y*-Ft<DDu~knlpFFyKf%aLw(|fAo
zo^`yYxN5>^<@whge)M}Nsk#-iAneAKHp1GxxWF>^{wLr1{z;BMmDpH`ms*WMz`*})
z(~b$FFjWoax=1;5rs@6r1H@JcGQ5%NXUqtYh`k=puZ~Qn`|tYjTmuh{DI~f`5x<g5
zRB<Jp(L0nsaU__f9U3H8a_7jSR!wV2=)$4ozAzmH=A<XIaW?H7VLI$hAJcSgEv;hu
znO-+hq&EL;PzKM{kh)JO6S^`#YAg!w!9#}%3=_*5vvFhO)A>vON$&6=rv?ISM;j2~
zfL~eU{D>GFA(I1=Wy6=3CyBmf?+&vTt#Wb6A+8JxS6y9Q#D`hNCQ9!1xCI<HrA7>2
zvN<hnls_0xpW!-Q#wYb&zIsJ4>>>$XlfMnx!<1?2a1lvq03?izr0}HRGS(*vk^#e%
z$9N%VLUBZL!=c+Wn_$BYHgDc;ZbFz;h(CnYkk?5Sv)vzMtJex~nbb_TAmi!pQuor~
z23Y7$RG<Ls@$UvQ5r;?1ak_=;x&<G5uB49SaCE``lKBh~O|mfUdCi)Xt3rSoElI)Q
zp0Vl)JM`22Iycgj`8D*LL*~q!iLv7W2$<@!4C1=3ek`UKMtciEBX*OSj`YjGkQpc@
zg-$rg_IFrRuGBojO+gI&1Gcm9VIbxhM5(dG(VU((w>ATfKxCer1>gxxL#PavEUENw
z*Pi$^Yb{$^3>~}l0t%ewI79}++#*-%aJWg3)rAWeAZpV$xX?UMY?aUFy0COnTegGV
zMbFZ%mVW{VX7+&L0U%D7+FM77f6wBFLE-#tjQSb7b5CUCn-?!Uc+WUn0z%>O*CUJd
z@qsa!4OGIwqx%+8<u*P(tS13+QonZUMBdAK4msk9(kPj^TFNd?`b~U$V=JI*3Y85G
zVfnrl0@{oK##U>3LJ!lQZGVrD*UYXjNT}&juoap>NRJcIU=XsNv~00JDg(xH8gGn8
zVK4f@?4<3Un<#t!Ha0@N%oK;r7$gr*4*v<s5cH~27<@!qA|c};_W(>XdL_tHz))ZQ
zR=<9hi8j(ge$xS!S%X5k(^iCc?=@Ux2tsyP_q~HH3P_eovIPTjh>~j;F!eLR0XcsN
zX7O58rfLGx$D?d5GaRR`?ntj6U7+8>Wb%fuPo}I-@9}Ih#lA%R+iyo-*b)l6Ze7vX
z1pB2+rMSDEu34)l_AdK-w}HYN8yeaj!6}L=#nDkc%&6@C4!k_Hr|AWdcmMj%$zTX8
zszhY*{s_|rOpJtbt^FD~AL;7M%uL<4(I+iS@@Eh_ES=6aQ)ok2s8HriF#5g*(3}4I
zm2M)8f_?P8&)B$Tjy^5}EUFF{Sn5As6n<2%oh(?vTK#BtZZtu9c1p23d;q=66?aCG
z?t0N_t!QbWkC2_9`?lrpwgOw#lQ}yVHjZoN3-}3-7W_(MU$LK%tmL-FV3B562EY1+
zEoP|gt@nKHb5OoyDHTzCHJzdXzV9Zn;-xnr>pkwVbAzw%H#V|JK*{0ZKW{!h-0||E
zpME00IlA+A&NX>CZ$^sstJqueO0(Wb?rE20-QStM&3Tq}%}|g0yi!lwu^v6MlWYQI
z-Gb~@LkCUYXXJU^<Hp<IPy3&|zNQo3X-;JDM2{z*zJ8BrzP7{j?ai9+Bb-7tMWT5F
z&UNfB5{Zs%Wh+JDg`|<jXy0M7zY2QLlP7x)7$6j41iOLIGjHxzK~sN>T)dt=_fgBx
zk+8I|h-4-K2ei~C|C=?*w%Hjo<8?~ueiK`3Elds87RFKK<@xLPH*Ve~5*<*U{j?pw
z(PqrheFP;4BX_E*mU8y-T2l^^fO2M1spi?}xVYtven4Tm(AHM<4(fvLkZ)*-)#7f?
zgFfV_%8!u;yA>?)^ZSY7bnp{7k>T1cvuay@Jmuk^WEnofW^(V|{^DvnDZBdXj|2H|
z(rwpbpg2vh0{(xmUE6Wx86m`^eGn8s<ND38Q&J+)hfRv>d6%LvCTQ?7|M?!Fm|&M%
zc87%URQp2txXT<ubmx_r>a=@-$tG`$kk?a%4&L(<tk}^`!{MNLb&Z!2-I}mOTKJZE
z8A>mf>fZXFN2G>t>e%|9^V-FGch8w~vRu+M+`OrS+}ct4;-ahC4kdQ_*8?<uSU7Ar
z;QcLT-lU<<)(=0wE7&}3msS6`WB24}k~$;>#NAxK@qPNB=)uKr%1^5FcxEAqIePR)
zbX8BI-s4{+$b}>{^;^4YSGxIHuk9`yC(Vykbenm2o9SNPDLz)psfPCse3U%@_-MY;
zGDkH_+a|}nPqTvpW6xv_3F;i*H83E#Ir;aW?wLJg-jznmnk3F!R}^Lzk!l##&0Jz;
zqB8E#@;y5OoSrp^m2!Qnf0K*2@$yo%?E`ap6Zb^5Ah$(7pC}t|RQFchmR#a2`QV)=
zx5#_Etcl0b+T+S!@&?OYw^=i7lHx}>wdk6$%aT_uj!_xcV@8y*q;FDfeGiK=S-I-4
z0JqG#pHZLXr_Y*hHfH?%)LvKSSt=wZxm><#K6#JtvF$UzAIdFE>Rpf@m^@{Rw|)M>
zruQ-{F6~k_l{Pr-tdblgrPS;B?M(qohsF%9jZQM|{WX4-YwVET8ybi86p3=4o&NWy
z;jc!Tw6;QL(Cm|shOATV*7a(3n@+~qpMudTIr$0bfQ}qt?Rs9pLg5PPeRyJyGG%?Y
zZ8%#l+{V4IZ^#0@)lUsS?)IX5#m>Q?VImr{4lp38f^(S`z@fv3S=JSwpH)>UbRS5-
z>A-=4x`?CC*Fdlo(>?=7&+*zV5?$XP|G0h2!ZH10@{%=c8d#1vF4;j@%$5~g-*J5e
z%8OQ*+ChP<{rq`-;a=EPsA<8M#G>a=Cvq&+ER6BF3l=>1v)fa6c#i6#n>Tx&ByyiB
zX&Xp@5KS(*6;qTuh~|y8YFVN4T={cOLijY#AC$UGM8fM88yDAU>qT+~g%~*3csoj+
zsS+q~9OfI%&BNwt%r-VwkH!-#8<Ln<PcH%TT!GkcIu&&7w+3*%V_v1pvcU2n%nTYR
zn6ArOKE_5yeOgAn(fWBqRnI`egW=)KQm*7c?bKm2z(^3m#qClM9jUn3c>-I=f5j{6
zcuHrh&s(}1^x|K0#WPbfz=;9^t)69G5Eu5DGdkh}G`_HM*q2kdQrrI0y}x$E7-IQ}
z_9s}4LxP_1lXDHp(|>u_{EfEXcnm)_Hu5EO4CtvUbYF}`1nU`<xiIMaN&duH<ox&7
zbJ@=wMiwSQHxvhDrKiV9i-z>hdnRmen*+RK1XvLPlt_q(_O3delXFNKv(xcZT=m+z
zK8_%QF^rWG(?u-4em(43Rl|BL+l$jaeE}uz+OcC$v~aOIzTJ_Ow36&}xkudE{HhNw
zvLeH&OInujEvdk}&yTC!lsvDgxl*~>Y7^259ug>LIkN}$@1Ko^40Ig2)${ee3ze(M
z)wM3=ip+7eTet2^)rc`;$EFy1cw~&c;>Ke>aG;ME3=wR<w!qI|jN9{ok+~v~j^DXI
zTJ8#I`OaIlX_C*gj9^U&Lw0cFO=a?vFnC=EI-)DoZ`@v08eZrX;!d1+!Mm3*0^xqV
zxmI{VO`~G)q@2n_M~^Of7W_vnT!}RM!hS7gf=g1#4=?u@8J4x4mq(<t7&t0NlQW>^
ztSPM$@Cf%h^zv60>)yS4sazYIzir>%8N3`HuW8{zNyy}k9PbaBK|kIX59_|j&BMcD
zxIfSJ-MiJ|)Qk+JiK~;=U<<Y~bd&KOv1X~MX=v+b+kd`2&+3d0HTx3d>B!v@5@yex
zy9*SCo*U2P?YQ~s&{deDAgN?cyuH8BYu?-U5}Lkyd7iW<(?jP7^Dg>!+ZOQrarMx-
z1RupGC0V2n6ZyaB(xc@vDZ?%l4qv=~|9VOj7Cbv0^@Xe;SP_N{9;re@%^9M~<nxH=
zW5=dQ0IQY`GZ2u{aZ(jCGL$W@c}GDGey?laF}njWK8xKC=NJyOV$k0h8&lJ0`$ZfU
zz2CI$TbHb%Gi`0zl=V>?KK5R4E}Ve|tH5lgfeVM;CC-6*+`{2OCK#MYWNBvBt9Nhg
zpi#xudRc>0fX84UGjnqx`j^~7W?AfIs0Ba;oe4<ySYqN3*<S;G4GwAVAKvxJ8ey>y
zVJOSa{QQa8UGs*b<=!*?(K4UXz$oRr^LWd!Dng(2&K-6E3uFGX`ysbM<M7;0D^}3O
z`rO>?UVH08Y3Vw;cZh2Gj#$bdh4FGQzJYJUJBpk_T5rsGuB_1>owrUtdYWPrYLhLl
z9*vlr4}pN7+<exQDJ5b1tLD5`evT4m%AZ|ODab|L4BoM0-Rjj&5*7DmRQ&8lTrz8M
zq%gylqKrMo0Yh0jQcEi+02HjakdJgr>Z!apAIx7V8jL|h`+k~ZaAc$%BgawsQ360a
zY#V*Y$Ik9CN6?-<dkDJ#Re%YfJhw&dLXUrjDkAJu<!1%KhxrU~tyj*i+vGAoE-Km{
zfb`_D#mPly@h!rbaS}ok2~s6xz1LmW6&*6zkQEyn5HM|5-{!wKRn}{@eg{s=d1&_@
zzn0px7>*`6JDcN)16&Bau(cIZu?L{ue)Yy=wuS<F$O8c!Hyp*^{`&GyKVlQ-FS%Qj
zB`6)Q7Z!SL=tno6B{h;m=ThY#fBp$d%GqVN!r8gPpfMDPF7#UA>g7uynJPZ|@VI-m
zt~4j%xCtM&$N&xOCPU)8{=9pp+oA;vcn|kjIkF+a!NG?QKceekA4EzQwW{IBYRVsg
zxc0Z&5*4Kxvu7iFaackRS7_rlqc24iVZ48MB}u>>u`gDS;l6u>=W6m~DLJ9x(R}iH
zd(Nb`eLI^-6I!-;97uwyiq<ngRqbtbPR=*DH|@SiGWzt<JZmM9T!u4OolmZe5CJw*
zvGL<arETB8f2Sx?jaXo6D&#M-AZMt#jX4ByNk#MfPcPB>o^7ijJn&MbFRn`oGTAS{
z!TkD4jj5KFo-9b-0rz8hNl9g6Gk#9^Q0VqLN_~Zi^4SeNBAC#)kQ3|qWR7yiZZ
z`!VnhH7hT7^Gw1KTmZds57jTx=hk@>*nmX0t7fwD@rK2JYXP_s>+6SPO1g{Qb!)x)
zgdf@Ye20I)OPwdPYO_5@{TBVl<r=rO15Uh{H7!4?A}ByRAvm@6o$iOai}#EC1F}4p
z7e}klJ)yI1x8JEVj_sygFc<g9n`S(z^0aQfwSV%^KHuII{2aGELTl-uW4}+YkSi&<
zYF{YP*Po-bKlSxcx%yxGUXDJvYmmvKVRsu3jTDc|$!Z^z^|fc(dHc~m;xD6KCq1;u
z^*$hH@-1<;Qa`<z9&(2b_7p`Y&FZWwlO0@dB-s|MR_MBYZ1aX8GF`fxssvgZyxf?y
z*~UF$+{GlhbThMQ4h^rICnU#gmbP(@?@_WT%+|^*|M^I{TqpDM(JRcRNXD(`tsOuA
ztABvQCk5S+4??C(%m&`y6?=8{aJiQ<NkOTZ_h0`Evr&><*7Ca;9p!OXO<dRTepuj8
zY338Xn`d?|Ls4#dT>f9b?-PHJd-F`={`WB-r+IIPKX~w^Tu6Gl)4}TVlLEEh&Hi0m
z?)y5!rb)`n-3|o&knLh$68&Ctjcuq`a>vYd1I7Bb{euiPzE8esYa9J=<>~VQ!>@eV
z+tX|4eQBFs2PaE@`c2hdv?m~T;kw9Qqh83#HF$-ZZyhvl#2DWaPX+Tb*^qb3Ml7-G
zBp0_}^x`o)Gb$JK6o2u!Bwc-Q<cO71hviRJ-ub<}v@zEwae&8(^rN+n`xm`SR(I2_
zb^m?Q)6^%AU+>tNx%<SoG1Z}8J}eq{vb)TwM}3N=Ze+LyI^E58-th3r0qOV^D*`p9
z1-6@!>(sUE$R0`~LnVur0*r-YCQ^IH|0BFKMXgs9|EcKTsRdIR-KQ}&{Wo^Nnk9^;
z?6&O=sQ2ucr(b6LJAmDUC}VKa2M`H0K3a@kefq3$a^in~e0fKmAfoZ(zh3X6EP8s~
zDeoZJU?S1^@yAb}zExhHaWtK44q_iw=b#6fbSvT31vMpjx(oOC%x#@S@5);%rX%+`
zC`;2EjVsm(UhIkc)s`$>TE$pMTibq$ipS3}`0h^>5X+axaRUIZxk?>DJ`oXKP&}9<
zz{0{v!fel*w{O3{zN4?`Y5K*MZDW|8i<cbXrr(2OPEx)GKfxA=-(B)@0Wy|zpQ1Cd
zv#~Lf(2n|wR@6Eg%#N}YNg|O8w0xkzkk2go#JBob^sp7AUzZBLa&Y*P$y+Rn`Pr*1
z)-b5n)LKBImX_+#Tn?iv2lCg&t+mDDAwXB;FlYEuN=rG{n;IIt7zAq;fxYB(*XKVl
zz7%D=W6JL8F@3pT8ag)<2r#Da4T|F!qZ|82Y)MaB^K4q2HY8QIZH@HPwAN~ac_cAV
z7AMrc-?V8dOr}U+;>}OU07%-mJZ*o^t5Eq2HxS5pFc`TqKqDAE<h{0aOF!WK<OYx}
zp^II?*=c50Dmc2tLbd`#)&+TZCKd5GoTz4=ReNC$j84=%e-7sq900C9b*-}L&7*?>
z9i%Ssy~m`I4waCQKuX38k;r^o%Mv@EEgnDq0UZZUZMrqEJopW$T{u0Je(gZ3f~HTX
zb`HJ}x_?M=L0sYc_N85hqPdBnPD26qcr7TS>Y_{kNXWfIhqUJcY#CC}dtb3?G+FuF
zN&#v2F5AtSbDh>{go*(F<KhO(&4F?yYKs&pnoZ1n7a|hiVWvt(Ib2)q?*7kTlBkTH
zVXpH?%BbHKyr(>XY6PsoQpM2qVo~7yTf<0(Awv>5)~WxEl=OxVht`YA%KE~pVt9k0
zWb)C~5Gs5+xJGPX6N9hx=*c|a;EW8t?>@&5Z-p3zdbTq&Qy4H{SQy0lFieQccG(&m
zzvauvL#?5qv48ZcNR}Q(1w>*3G02w!7JdCVcR|F*cA^7{ZH4LsguW%l(`@&hNVZD3
zNWX1l0fAFk3MC3kN)}dD8W9+U`zk;XQxQ(2?n5C!OKhfCP!9;T(aiqApDMQvxSg;5
z&Lv_4l&{Nhx3s-uSM$Nuw6$O3+734whGg#M&E)uaQ=<R;9i-aUlk~Prz2VwjvIN*>
zZf*_(W2;&G<cS}&w4{mn4@}!VO2{gJw^^pVB&`8v>FB(xrs#+Qs5cBkv!)ne1Xoqv
zdca94pEZpUlgFsd#{}j<l;=X!(z2spCrlj0AhJFAXGhUI_f{AXo54!zwCwcBW3w1-
zez&YFYz_lEv}7i1{AQ&&YtEc{a1o*B?nvI2Ej!K-6Dp$WZd<PZMP>+qc8UblcC)Bx
z1%HJi!&+c-?s<<nSm^BJr1A6f7rt#_B*o;T!$*#EgLDQBA`AdhTBSM6S-*aa+|=pQ
zApk!aeT4Iw-Fj@jOS)B3Vsgliu(gBEe9UFb3NFIgC%j5>pFVwhdAEa6X)-V9Q^uY+
z;Q$T=iCS3vW%1cM9K-g*e6`Z3c^V5*KFcv#BXr37S%?_>jkNz&uKr%i6kihoPF!j^
z#GcxkSXiiyw#`{M%yU{lS=rSnd6l|#>Lj3whtn==)wyiEaiXEhOIK!w!(hMf-_SAw
zbOWxUSy|aGJQCqzSlIEF+M!+Ro$z)$5f7Qpuc0Wl7rVL+2~+IXkEjH1p@LpX!_j%g
z3ee;6k6Ar_U;DnX<|YSQn)1_vv~>*z9&9Lwo^@IiH}(9rgZ8|;QrTk;U#iro=m|a7
zdbga<o~)sOp218HN$-w;a|@G7O+7%+xZt-=Uc#<ty!bh21hy?bR-_XPR(^Gv%l2r3
z^uw5nDeb|72Wi?FQhu~A5VEA@-AnpV<a9Tw-@%A0fBjW7<b2Y-yXEC8v44ebXeZL?
z*t$M)rZD_4ru^of&`=WZCQI0Jw2(usiC#e&>}wD;=h4K^PqzS5<x4=P$cY9&IQKd8
z4G=cQFFEBPy0`oH@d=&&@QrKkU9+!hFi=)Vo02FfDylZ`7$@k8wbyXt05^?3N{epw
z{d*a(W;kEn)~pHKzFl+Z&>O|Yw5gv61cdCbpM4Du9tv`OoFjzfNzSmwX+xjB%n*hh
zy+&*ffRX+A^g{c%k65^9ei#n(Oxu?=BXX+ZqKW+Z7Uy9c5CN)G4%>TRv`{ThyHd)B
z-_=J~Q$wScC5{G}OO;eajQkVi)?_}Uhx2E?8HJ+Uk6xX)kKZLR*cn6LAwAav9Mbk#
z85tj`MKC&O%$+%7h84O+xy<bBn+%{obfa=L2jV08K@?n^$n-kGt~{Hmr;C_DuU<W{
z-|NdJ4Jx&D2hI<(Ia5ngO{mdc-`6?Rgb%zTd-G1&$T&7%`4QT{9wLln_o;i-QCvHu
zA6~7O5gAr5ZlOz`_N!t}2E)b)5n{vl4|ZI+@(t;Hm_^4PXK69-EipEh5|D`~*=90)
ze(nwmg@%R(Jawj-RT1<Dyg=rvX&68*ue82fTKbxbdVar<mRa3Z%pWQPP|zFUenc3B
z2#6i8rm8CR{^Q0;iPpbrE!K{NLMHL5vmVp(+P@VMJIxql>8+f|Tn`CH{PC)~x+Xq6
zMfFgguAajH9ozKFTzZN<cNa5Mj#k=A$yAZ3Y;!BI{69d8|MKtbl(+Ae`XGa3ze*rC
zp?1jzTNfy=NIU;beQVXva#fWyt4VM6E~`o?wtJNRz|;8Es0k^@LJCs@XMS3%dTdzt
z9J`0#@5Gq?=rVtu`$8~xVeQLNah*F4FgVau)UHeSFLwv*h}m`gX!**Ws?ir-O&fe?
z#*{e+n+)W>Z+tg*&)FQG%vuY><Z8<>7tQw_Rg`+AKcBjx=+g?7x(4e4k$6Rd>V4DC
zTW?I4*vAas{!9On;^=$IVcOnq8`b3c4O`<_;$timaMfqAr;={`E|usNx!ttmf4l0i
z$z{@L@rvY+ZtW}YAMopX+}v3lued#L-%`^Zfle_M#q($78%#g8cT0kc)ne20Q^ebI
zLy}IP)A{KB+mGA5HctJPE;~i?!Xdi$-GDBE0UDE5s+3#&GN>W9>GRBXxpmG)N+*+p
zG!)dF40XFkert+$6IY%2{gT>}6?$@Viy9X#E7Fo=E^MBtl|Hpv67$%<L^jvAM8U6n
zvG?w>)9*V^xH;HalDOx|-O$UUBOji9`~2)!?cu&#*8D#G?u=&Xu4A?8a0~x7TK~o7
zrtUkXOdWkx?0e1}Fw4X%%q7LqEBcekz*sf$!MTanI`$5O<+?7i8En0NcTjCm!lWyv
z#-<&WGfwF1ev5+Le>e0}3q#rRkpHPnYs0jm_tG8?LN^4(MKpB*=2YO!%$dn~7wXd)
z*`>Jc5-}`cvzhtvZ1os!rTHhSZ{IehP3%z$ePpq6Kghie%PBzsh-pldw29E~2@|l9
z&!DC}f=TPFe$olTL7(Vv*k0dW^z`r@-_a=o-R1w~9%*>Tj;Y9%m6zjFM?Qt1<vV8z
zM+PVhXE%SL2KwuL#<mK3kgk%v{8AT}g>+{v%J*MaYbP>OXe}qq7Jy1x6_saU$_eS3
zO|m(we(tPUU-2iMTex!S)U5<gvcn#KJCC7$p{eP6YH>A}wD|ZHG=tem@G)uNn;scm
zM7O^E&1)`qa`J^@r_U^o<^+Y%$!{L9I&&eNOoON=f4K6l^w6$x=Hfk=b5EN)vGt2S
zQUIn#;G!B0zj1i%+G!(axsA&F&%9`AB3w3fjlaJL%{mZd=sqs}+NV!tWo38o*`u<+
z?v0v9DEv@0(^^Seqd5iifA*~LUF8(%ZEI;*!j?HLU;Z7|@q@24tgn149J3ioV@pX$
z$$2QnQA8xoUE1c61{-jQMC{qK7FwIK2jDO(jJY5);BU~TZQxde4uWN-YC-)CgLD7!
z;~%gtUHjboKSFkW3|cF_j?No{=mAdD&(9C^^vee>p^>f2?N;cAw@;!jRmzr-tzwUu
z>^~E#z8*Ec5cu{>C^fK%Q9E(JpNxs26~-mQoeGIZ5c<tWk8<G$Baam^hP0tU7_>qJ
z0)oJ~b8oN$P}53FZDJ1U!v`<?NRfcSbg#efj`X~%UvIu2sn?T*e#WiP-hKMOPuugg
zJ2(`*c=7x>jrV5=K9B@!3v<vHE%L*2#0&i;(Y<@moyMWU%if*G)av<RTD%HVrD1N6
zu_xS&wZlxq{RLIUHJrK^{=N0w-n(xfV`iFAO77Jrb}a>$u=qX$k%F%{UzOp#xV2t9
zN4AplKQQ{+H{Z-m`X>rEA4dpt=WA<aOQ=s@-N~ao+_tSFoW_Q%AIEG`mTq1D@dkp)
zn-Qb71@Oc=%gCsv8DIpavx$C{X6YBtcA{Gs+n&NjHk-U$_HMiFk&%xPHpIx2MU`DR
zVf^?78AaTvwCjQ4K*1rrm|mo<jVUcaW9-<>$SGB;$ABL9%%NYQ9u4JPnBNaC##8o@
z;J3-&xIzDcz>}`-q|bM2C<CP{kx;gWUuPs2wEiK*!?bCbiQtuKzZ8`RkLUFZ57T~S
z+qf!AQzzbG(4NxzZ=XlVAfi6)_>@UY7p`87jpWogGo!T`<Wxwpes9!c7Nh#Xgri5D
z#!lBzFq)Q|lS3)*HQ_P!3Smu$Fr%56{Kf>m$(1B@pr*~riafS-U#->*6w*sJK@@Pl
zbnm0%L|yd3rLXA7@m4;|a2CFMRlV+>5cekzQww8Q7kBQ|DPru}6J|-JLtZ7D2|zdZ
z%$dE?mtQryO#ea&k$F}mYeJ%7u??pLCec1RUH);?`iHxq*wB7Qhn_iWzP=M=PJge9
zVIa6pY&yq7L!WG9HiMK-XJo9r_gN%*+^+3orr;h423qzoVOeeK(mQ(g{Hm{&%aZp{
zAdDlgZ;K5KG(9UEU3-ljgT6ti7ZwH{7qmhsUEGv=qc3e0uE1MJ1Z8U1KJ7*RMHgD|
z`VncG13#Yp{Bd@5<zzAa9+&M2T{zd3P+9EG>6c42Ak059H}C2?TtmZ&sf4fPJZGDl
z%4gf1hc`U*nB|>iGY>XFtgoL7l-4=pNnQO%D|NF1-v>zvU0aTIMMcyGv?{S#y@Sz|
z#Kgt1<%BR2RiBst*RFr|mx)t$1walUx<$Vr2&`VeUTAIYg^CtYR_6{<22uHFdQ_*&
zh;E5n&+H@jk($;CShrKRZlw8r3VXY?xEkp-6P!+*J9qD{@UlFlOL`s(XfA~Ed|l))
zpi<=LnORvzCooGAX%Y(oQ`Ehe=t%ViH4oOaXh;WkDy>WoQZi&o%Gdz*;&2*W`1){f
zJ(qjzPRJx&2bl{g^Ix(n2#)IGxgn3lXpTGtq^JwlPl#l(lh{T;Ug=(l)64$~^7`09
z4e&ab^pG>Fa1OuXD>|sb2lJ4JX7#T;apGgLqDtXLAmH;13uDyQJCkHYN4B@Ml9Qz$
zoFkg1#<hC~WEE{!zFiQ(VY@H7K5r*FGO2ZQigb?0$H&7Y92)1YDHd-I*z5ZP-Yr1)
zNvCgx=@Z0RjnTt`HfC2!$weG|nNn+<7cS9RR$-gzp1=QbP=G<I)?yRSpE`vPZDqPz
zFMjALRoHYXVZ3a}u4zdccGlA*m-cnCc5%EV62EW$5xsfD0IQ0rX6fO^lAyB&_9Z_*
zACN0)Rxk+Km2SLrQ)LkL7LTi!_E{LIP5ZI<vedEgoZYh>pH=t`#%munli7KL)%{At
z$BPC7!6X2%qYodhavUdL@@K!%&!<J?m+wzGf9~zbR}*u74yZ}>3vl{uG^FtIk}2Z?
z3B!mpR*`d_Q(HYgI_F9E$00jXJs<u~psnQX;78Vr?+)nnVO525bJ>@kkNazU*>~%d
zqNDxV<8#9-wT3zTJX<=>STbn6m&NHj&!>(HO6+A~DA6%#YB;JMCegWFJ0@tS%gLz{
zGdq=v6MqFcM#ugV{5?N+B?`ic%Luyv#Zn<QNh~G^)1~+F1%?u{cgB~xo$S`pvO=~b
zMpSart={r`pwmmgAMV>~8YIVW?AbHP9BE^smDx9IgO`h@Nd_t8-iS#wmQ0`ToqF$H
zw-m|qG~1?`Ki~E>kXzm<b?R2<NcobrkLM}Pn$c5p)J02;VM~A3oGDQeFYzkKN3{_B
z@Y91Ha%&d-@HI2<A!nZJ`>J4*URG$jPLp!ueFuA`{H$BE)cq7}kB#?jc#^FB@cz6e
z-TjM>)H<Iw5a@ZSnV+Uk9B^q%X>Ijcow9~YBYd}{gnrlC{P2$5j_)_h=i9EjK5$<*
z$=;|%H=;WQ-c-~vz56yuYD3>4R!@sZOp`Rl819?u^FiVJL;IdZUQ>oV2rvlqzQ0gx
zbW`?lo$17Lv#)K{sknUN;$JV{Mb<v@{5tnW=8C1-eG>ot^UEvc!dD+*d6?O@V=Gq>
z0{|O6uCy23TH4wK5jicT7laT3vh191b1LD^5BhiGwkh$oY@wD76{U&3>Chpk9){wK
zVVj6xW@~lUw;Q(I7uP>UhK8n6I8)<}89$!=o)!X&oZB3NDr0=xR_Zz*|B18n*No}y
zMDK329-N{+g#cP)rde6zG&Sp7gQYnhE~z#N$HT4Rt?Vs45fFu0o2xxN{T`@L$Emko
z?4mw@UU^2yT%~KU6fk&8ODX2BG*v?ZZj100-U)^T%nB$rC<ak%P~&E;Ko_*$+Z!qw
z%$JT9k_Z>{kP@&Co%GWQ69itP?MGFEz0s}hojq7v8!;2L?r6AOyz~tGT@<HDBlh5k
z->2dJ2r|G64#@=dGlo%e%6)W1qSE%QSlUM6{{?wjrGDdPzxP_8slndJIEHCxAR~xH
zpK$V|BPlcw#>t9AyITuRf29Ii=Ug2l3osl*2-1M17$@iT5zH-b^>U_Q?xYaLf;7}F
z$H~FrFL_c<??8WZz1TZA<du}P7a2ZkeKzmrLTfd=dp9r|Qah*zrep6n566nX;2JDQ
z^E?63ObNbfJ<63MqP7opgnAu{mp<$GVZ)3E%Ko}_vUus;OOz}@K}7j(T_(gbWrRR}
zY-lLxxoX8#s;ACv?L7_jt?<FbmboixXllxDgUOgJ>Dvvbr$t5#$N8>ZbHU@zz0}Yt
z^cs3p&{a8^P_h3vOfn<q!34RK!c0~&=;UEJ1=k0MKf8)V$$zvy&2W_#0Jb9l{Dr}K
za2S3ljWB-X6bZC3&&aLj9d~Q8V+?C=aT{(Ji`dlKzur<^^|#+9X%^hSe<0wG$(0D=
z?28@k?Vo<}`XBl|{FopF8I-)ok;@f=RwWFh(={nTMVRZHm11_nkhag?mwHPZ+w^Y{
zcJt?tLZblmi+hh3W59&<!{tC}lj=g=@-@%`-FSG5w8;O@3;Hdsogvey=djsE>HFyU
z{qWsnINae{FAxK^XZ*BR$nU7Am}xL&mjE4kh%nf{bm?`PiUj&=?U+L#Xk29IRTdf>
zC!afKm2r%F424PBJIYV1fg?tk<h)-6<X^I+;eIy-(No*M0SM)4)$o1AL^t#s<$wVt
zh2Sh+W1N9UKp`&Huy}egZ()6!KYyO!-E{TQBilnaY8nyw=}^CboV#{?>8CUFZw{&H
zfBLk?pC4@}@*lLYrG7XPdfE9Ay^heAO!3X$_&p2pT}sM`eZ@SUeuOd6@I|6gx1x?A
zN;`vs4vt(V<jMzMNjr1q5MFMgc99oWsCi(tN&aBPay9rH4P3tY$DYHs98uqedLa?b
zAILKNs%t$GBhn7?&6e8P*_oKg$rajl8PLD~<A4#syODqYYxG6|Y_3E!56N*sIQx}Q
z46L7H3o8HKhLXH#X#k{Y5+A3TWbf>DHjbfD*e%3@(gVejCTZy+jbIgp&dO#>JSNwi
z=yxIG&0x1Xxufj{iCtYwrvC7C9ZG0b&(luR97f31FKB2Nv{8Qjf=N9EnO(>c({)i+
zCYiPEH2wa3WIpfJl$wtcdwY#9Qz!HpoV!d*&b|J2xHPqQK<$zhdG>GanRvLp@_6fT
zQHtwC^-f}9mw?)aJ(H!6$$z?+n=nGIy64YJ(Vs%yURD>26D*BKiK|uw{IKicqhgzy
zURBjuDKTN(CA;0lmXSr*iO*CKJ3F^m3R`f^{ao$yB`P6bL-p2)PL}U9UFdv0#YdvB
z_P4~y>WOv=gAZPP+$Yq_^WK8N9}Kpq>y@fSf0No&)n9qZ?jWb*Q+*e9&UwGvaoa+N
zP4V$I;wrbPHJ!emGq)@|?c}JeA|5%SWQob!P2(gwj^8&Zr4PTW61{a#_UYK8FM5bI
z<8>TMre{Xy?XvZnEb-2Y_R-zh<xD{BN81vaUL&(Z1N08bZ!o+)YI~s5ZCPcd`c-8%
z7fh~hcxE3sF>JG6d|+);gjwOj24(#<R*qtMv+cX|pWj^{|EW-A<>mWDyQS|v81&;^
zs_~)HD~U<T(wTic`{buCH920Z5@#7QLlSdhXwj{wa&n!vOHADR%bB=d&)1Y$G);G^
zBc%|?B=Os}fHC)f?=!;fV}*KjXjSLXPx2{m2k7gUc!jN-xUbG(>BH>-ku`e<_b+^K
z@kWo2U5%5!99~+p<Bu?uSOY~fC6mn3o){_@xRy8GX~-!3AYFWV^gg=}GOFcQN;VJL
z_+o$I%8%N+_l8bS{<2qkV@a^I#UBfg?^ExRJHgQ=|C?pIuOk(rTuciN?0$VkkDz3B
zJ9itQ8Rs^9)squOo>F}ndFT*ahH4MhdpfcRwg??8&S3J>jc3hLiRM7Z4LG}SD2v*w
zRY+{OOfqen(VHd%a_49tYCds6mM_e`af&tLkp04j8{tERs@A6DQSIApI!6lx4Y2+o
zHQoW69uMU**%L_X7v`)VK}|GqV$_vqSbw@u!Ek(VWSA54Epn1?Yx;B<CcKi>Rte?@
zlrt{x9e~-(m-HAffP%1nQBef7pWt3`e|^tn(IS2r{e$uFWM96ZU7q~y^5?t4Z128X
z5uMb<li{I{yd81`DHB>0WPx;`a#FAGsUg7OaxK`M=g&Vy?IrYs{l3<Zj_Vq^w|6f=
zecVd!Dq1X9kj-ZhoML<T&Nxv+q{xdGkI`XLio&yD_RS3rzWJa}j1>09>zpszyBzH8
z`%<AHB0@DRu;L4jM@KKEE5#`pJ{vU|ddV*cd+<Y%dHccUN*B?)j5ZoE9zQZ!VyiJ)
zikaSVV1n0s9GiGNV83W>F+5M0Ba7{g_AbBd+x6K`iR`$A%dw(~PQz6-LaYO?Kc+7|
zKtaKt(0i-`5CF=`*>2TFV6%!5Q0D>ND=u7ELb*;RA2JmjgxS8$Zn$grbm<~G;?>qn
zHwW<q&so;7Yo9YTmGOqmd_kJzHNXi6^1y)uX&_$jQuz2WQSLuJ433D38qllP3<<*r
zh(oMwSTC`6b*<+)Jb%7-|Ne6vx!7NcKrkxDh!b`1H$PZRl>D$DRi_{(sXlo~svUn3
z-Eyhy-=eV#TSuB47h{hQyfTm}F%EB+3eIT!)DVS_U)S0RO~7HAn&N1lPFlryRBXA_
zui~QX*Y#IF^|ueBMT9IaGJqC$3VzwbitKYqE@F{k(55zB#22Up>%|<<3x`^+spNMU
z9Y?vgX3QbzLAeqdBj66MT=+~ZatMvg=FL05ojFh#SSsiR!UrP4qpiwLnln<!{*w=(
zSf!&MlgeF08z!KoZ8BR(tzdLcV8D<^?L|4xt!1Ns9b*jiH+<2N6PzM~pKjzFW-KkG
z9CukdTf&1u$v=@0Qh3rpC)Ai!m<m025nP9hDsRJAOr8rZw?JtiG%YJBS>h)bn{bb3
z78r~1Ak`Ymkqi$~i3Vw@DE00=Q^LBf5-f~-8lqx8jJ@sMji>#$?zWDds_8T4(Chc^
zTNnkg5w|m|qmzsb1O!1f?;0CbqEW!Xjb39oI-8#;EdV8U!v>BV;3$iWPB)?8)p}!i
z(`dfH#1F_EJb!*MQ><TyyANj8<S=dRLDA&76uNFZ4ohg{ak+mpM4_392_YPvv2#Ic
zu}b>%?!AF`(5X|W&b!V;wr?+Ty3uwWd-tEX@tTxyatQG#XzIS;VV;{K&IO{wZQy<U
z`K@LmD->^hF9Y8(#Q-wWCcl#6!F@~@M~EGKaOAmfc53Q-WYe66hl%b-Y9{vb^tQ9>
zFN3J_YQOzsz9SIeoD}3?2cl52gV2BQLsWa#G&VNUUG@|FMhnh*`}h>Qp8nUjc+V_6
z;9hQ3YG&X_q^{L^A3!WKZH?c&d^uA>;}6=e$IZvRp-K79#DuSg&9<CBU)jKSJv=oF
zUI=MtZxa{KX}YWHD$F%5jbl^z97?gTBI>JtL)(`sT9Be14bHEpFcBtZ(CO?THHpqE
z(rzsK5E59B+-bQj`-MGqsEvZZ{rbV#w;OtMNQVuHBaG+uYwa-l0**>ZCBhOfx?y4;
z)I+eADJoV!dv=E%08K=L`2PL-pvU1fJF#E{Y(zzhOK1%Y^;M}4i@ql%CNA3qp%2(R
zj4qv`4W%{NK{R9O&qLhuI5-N6gwthgYnR*b12ZuW!28|ac?WZK#bBMNn~v@14OVDs
zTMm>hJ^7tQg2ZBbfFS6gE(*L;@Zd&S*{(6R3r*clW+6N5y3_Ab=enm)hm$ZX9tR}e
zV7DjhpFZpn?|bgAC1{HW9mGAa?#phQGiki(ou^-Fwv#%t{M!BzEsmDCIOe*_Oz``$
zaOIFSSs@{EGWeo`qQdXOtMP79GBPaQIGf(wMDy9P?VgI{lcrR-lhN{^f3a4;FeQz_
zgXPrWzE5Z0BG9M0oL~hxIdm*3{ay#mK;%?j9v;9{x#tF>Zy@8yIQFNo_5Sfyz(;pM
zW*xxvR$mCQv-*9f(tG?%s;bkdJA~DXvxvTM3A=yaCj3TG0I?f*GTc!<gt!c8xbd+n
z!uOf*sa@KzXebStYf>!fQ}OZM*;`B&(}>W<-ZC)a#!71#&#cvzo6W+gY)^l^cV(xt
zdIS!+zogg(Vf6v3@7GU2dDOCG{_*qZxaz=?inI982&#@}Z0(s47w6S}%UHi3IS-o{
z?1IXrhY7_d%GSXVq|)ec5Qv%F5%PS%K;iLWMBEi{Kg0D^W#w<y1!y_yHwj*(_wU^b
zPw_^XE+AJz-e$qUce*PV)5{KzcAX_$_(#UdbnC{j5kw!Kxg%&|k6Bi<mmF-X1q)u)
z)phQ$nYT^Dh0<xaV)&tQJ;7K_18xVQK=fW{!0|AAxGYPKO-D?AEhC$;Imb{^*@v;L
z(bQBG56g#RM29g0W9H7C*D3B$fc21<52(eFy*vJ5wcBVu4-km64^!7_f-3|K5A$aN
z0tBV@JdM)3cOCDz{mWMtucNCAUCB|F&UeN&-fHn!kYNRDfSr=o_XnGfjWp)~T~|+>
zT~W3Ieu17>sx=g-A8(lL@7qu{)nnGgOO>moq@-YB?GsQCEJdY6q;>(YLx1D9^@XQk
zq|q;3{_C%4&B6jTZd;&;0Ma30hvj`<3hBx9gaD$jxHus;mb3$5vKaqE_TLBYzl6Bl
z$I9vyYdAWDA%>if+!Q}h#3HD`2q}o6xzX_+*jN@sZTwPLR;CN*PPR4&q!59Ey}z+h
zdCcm?w&p_O1n&BuOd}E09@nlB4T%Jdi&4<<7u-BFf1~hxWm|<QnnZ3mamVwSll{V4
zJy@C6{Qb`T8<F4+JqVpLuTZt=m*o-y7_v$GsMgi(Cam;UJje=ZQ#kTp{+*v{oHH;=
zs_1n1pht%XStqZ~`MKW2{*Fh7A-Ch)k16!rJuak=jh*U#C|JX34k<2gw7NG>bnJin
zeBhqJlBOpGTdbOj2mEd?<Ln&xCVT9eg;4=ZqbgFJOuQ83zI$5s4f^q8!!U9DDc6E%
zo4V*tYs!iOoal8cJ?gFFAK;spe>Hl`!f~=Cua8DwYIeD9EAHG>UmTtL;HB1>?P^}n
zY)}9gZro(3ceeS^gs%N&ep;!feR@e&bjN-&@vBn&!>KPqelZ?-_K@>+Dc=vi;^?ZH
z(9E)|dTYZeR_{l~Z4a2?d(+ijQEttdD>_ckP4C4G{WM{fjcxXsWt(EYW+rD3tJW=x
z$ZS=eZfSaUPI34Mr44^Y)$C32PY-J+r@zrO_DFbD@+t4sm!$^+`lBU2{%Osbfpq_0
z?p%qqqWUXMv$qPTTC5X%o3WzSo+tnLx3pAqIrsUYeeChLBhLwazpVNy)62(}=H{5b
za|LG1jM+CHB(i|pb@cRJxMk8NAV-CRAH#sV;0dk(0RN9!>M3TaI?a5--@0v6`D%4;
z+Pba+_#5HIFBNGL$~zytFnYv@km~?C#yxpAPLY4bPV)85u{WY0L&1->D20N6JCkuB
z*75u)(`o7#yzKKohif|RMnW9ka_=#LBlP+s*gHr&t;QEurb+l$zlm{BQ8Q3Qq%Xho
z0ziO%5hv7iOtf%s>^DIhndv@f_Uyj>`XQ-N{xtg6Wm&(7oc?TsaVrio7*kG2*>YQp
zgUnJaq#P*s+w%t%49B=0<q0BKqU-Q$3noZXU;N%Zoz!g`hf^Bz_BhS|z;*s^izNQ<
z>n4M21j&>s!q_3wFieG1rl8<pbXtt)^ws)ZB^rB^kR+ie1fsCn)S~I;K78n>pB~ae
zl3oyWvYvdqZ7|@-eVpi|i%om4R9W%<D+Pwo0z8{EPlLm->#x7A_VCafIdbWP9ArF@
zza$%Kyb*u^Cln<Q6b<GV;*>a2U2a_kg;@<8KR$bsV%R68Y`zzrHua*Q0Sk2E_yKTM
zT?RpbCbqAwW=zxnwKwi=J^{ZSXB4?*`$9rYXs|~{=Hb()8$G(#;RF3#B@VJveu-)g
z|N1-eNK+Xhh(l_oHFpBcELog1dC?QwDwdU&0?P?HzY#St3R;Ijq?9HE0r2+8aitTR
zx!?&Cw7!1+jLT~*10!fzVvXkehE<l@bpFw!?_4DxdJ6@mpc1ska$;qr^X-W8+aVrZ
zMMt`{ee_7wpbv_6*^at-TB{DLQ?u_zTSfX@%wG}iLnIXl6nc^LPN$ifQA39&QGf#%
zpaVk^KU5XSFd7}g4g-fNBMzWo;pa&lJ%yse%c~jH<f~CH@J~Yz%a!1Lcy#NT`RxU-
z`-lvCx3P>JUXN?0?A{v|CdZdofx2==<%h=301c`<*%D&1s+EYn+ge&sL#7cStG`8q
zoUs!Y)FZk}^~yVT>=`Nm<q;RB`2?{PH9ED*Lc`BP-x3@*Vbw$)BMR-UTZM^ccGjQR
zu8b!I?vrTC@?f3tVnT#uFIwIOk(VlWD36}2cUb>zVtjlZ;_%K{)D_ATH~OL_VT#3%
z?_V<)uKeCDrBhBpQajP!lMNZIj@mi?mnvt2EznVrlKX%;8AVCQqfoaUI1nv;5OR^w
z5k6K{XJmVYY6lJ;1Q-;ZAi*$9no5BJ>3_SG_H3@yO+0%~S7f;7e2b*VP^N*JRK5h7
zgA?U~N80a$I}<VhvS?hN!z~9a8;k8TIvTBG=dBm1fn-5o=`KSMu4E<#3Q5AxmDY2U
zv6EofFV{4pXP~KAw_$aWxA67pD7K!gXJkD*JUA1Pt_ewf2m{z2Lh_?@^_|<d(HjJ4
z3>sule35Bp=QqDQo~<a>95Q5CyUbUO^d^NQo4Iq#OG~?S?~Y$Fzv|NR$*WSFMgD4k
zliXWet*`Wd{;{b3)ju)UN0YX51iIb5hg8z)JRnjN8b&ByI7$`{{RGbf-8z3lhFVk0
zPO@oRL49$qEm2NGvV;0(>Y7Txn$qsvxdvKVuL$aLH|L8G*zGxvubNx><uga-#>P6K
zfuSh0u(YIA{DiuCLGYC2eOljSt5Dpqc!|9|OM-|X{x_Ktr_P-Y3saOKie$zKs0kqz
zC_dh3(xW3s2F5wR{#SWtRTEf>wft8>0W~^6Iy2#Wa-p#BpSquKW66zZpwwBXws`Nu
zDUJ`4NMbm!*C>Y_SiLa35$i+L5@`m{;mZFXy5VaIIk_-G+R@ht0EY1|!6Ir87L(#W
zsOFob2^1$BM-HAHWK9?)@Of#wkEg~<PrqBsGCnY*^+0%RvT*2V9i4TQ9PA(V39qVC
zRIKdzAq4fWoce!inpf=wCL@JTS=~y#J^Te=IW4&Vkcd>=!l*B2#qU3hmxEbi!cF>*
z-`h&5zk5Tx(|_)z0~}+{MgP}s`T^NCL6~q*(q-3|@qBrk4qMUnx_@q@L#5A9{RMML
z$Bt>I1+DY;P-aHd)mf(CF8(EqA-uetLR-F${{}FGTmMM&<MwaI<&2U$JSIXM@%iXl
zANEzwUIDRa-Pzg(Wj+^$?)-h_i7QgQBMOq^WU$F=zngG!_N0`4o3;d8HT|v~)UCUB
zz2CVd$*z9tvy^hZ)DH%PzNs+^AKQE^!)Zd0^v*X@GhTG)kw5aogtNI{6VlFqyYP!7
zMs3XX=mFzA#nI=N#A%QF<}*}o>({%dosQ4j5@0aA*r6oe#z1aolb=_A3po4RPXnW?
zk4O8jR2GkGPPIz>*iU@_Y*l+DUHQi(*eM(?>$rJGK!D}I$D7xCZ|F8XCFR&_tEWye
zhdQcM_tbe|rttfsc`*J#kp?Q>FE`r0kx1_BTjXf+@%q4xclCT<O_r#yS~jC>>BB1?
zs?nFG@9Coxs*#+nJ$&g|eK}RMrN%=NZ-3RE=krtt0nk>BEd-9)_?Bc_FR+^_xop1g
zl-7^AajwU-IxB{?w5^M1TZeo(GotI*U86VUI`2!K5H@@7msIb>xj$m3NG|o<mzNsz
zJ`1Z^MB{}M^PQDW-|{p0dE(x3F3V#_2#pOHHZbCCtXlIN`=27&p9uq1rj)+$?|xs-
z<n_*Vg%@8hQjlCOn|ExS!H=aMzAZ@%dgzy{Gb1_DL0i^OE3ITFl=7^tt!yff_@5Db
ztE9rPT2)=WBQ0A(kPjT70>!Y8pq?lQSj_ye21Gr=lu^RAxLw$c_;N2*(qS$$e|+<1
z@TJOiugdG^bdyJHtn<XDrEC2(OjAosNG}yq=qxRRdf;g01sMs58BHlf854Nr*<h!b
z<%&v5{K&kNH|T}>wG~hCP)0PA;FWd>=24pFqsYBw!@$c_A!lpN3+&#ln-F`&(eT;#
zhjRb^*|JAk8`)h2q$RFw@tTUv1!;_)4;D@rQ`6hHZBgDZQaYEQoX=msKB2nD(=P#S
zWKss@r<gRfc-1Gu3KG*H7GDH$>~!bnrT$&rV?2P0ohkv-(7-FDnAT*tj?dHc?bv_f
z&Rx6eGu`Q6?_MpgrOo7k9DLbL^z_l+jHeBWUNYa_`u$9JrR3Q^xTn0l*gR6M^Hz+>
z0Cm1#XdBLRM%Z7t@Eatry885$&LsFj<zR_?(bx>L!}Si!yJ%x`H5cZAH>Wia?9ub2
zvB{;3b{lR%aQgJfz$=-xx_gTSt%d7!uTzkNzDU*mn8m~X@VY|C5y#6)0F-lCyy7e{
z#Z^@Is<VI&v<HNqJ4_XowlMPC{tX=6d$RB8Hm@;)nZvjZ+ewY^6B>AQ;TqoGO4vva
zSnUI?a!hC=Y*#`s(45<JQtR3x2I?|B>iazK_<>8sd)X2TTE^q_^ehhH+js%<$ha?V
za;_)1U-Sw8Uwhvj71g<~J({B?8YC7(KtW|jMT!E_TZ{?}hzL@otF+J&q&H1s2a!z+
zA{ZlxfD8)KtD+!fKt}=TDgx4_cji7Da_@J~cg|V&-tYVOvR2kgj7-`4-S7K*%J2E1
z_`*DR(57(B->`jiWE`9!oDSb!A}Lr@7^LqBF)C706R4Mv>x8SI<#qxBE<|qNXsnQc
z>91!rG^+4rPzEkJXT9JC3m;#JtMl)qCeF1}e<;@-$5w885$Ec)J@aIOm9sPP5~Sw9
z;2<26&8X~Qc|}WW4TyPbR40gRL3bYXfaj&97iehEB^&lJZ`=O*H@kLKVVJ|4`xS6@
zy_g!Co0&m^6&X*Zq_lui4e3nwDa8PH8~)njk)E%-4t;*b8IN;=bE8&*AqE6La(;H)
z?%XbuK{O#mwe3r{L+F=I%8mbIp|o&l1fUoA>s3NO7k#OMLssw9srLY75G?+-a)m>7
zLc(uXp<KLt30mwK3;8(6Ms6Y*>|V3~WSnGxe_>~N4X@DG_hDD4tU)BoUha{NAEdIX
zW#xS;3L`GZ+`b<Dy;g6EcHg^W4|YdtB{rNKtGVA~6|S^4VQ19s-iOJ8yCOevWY!2B
zDl6FW?b@BuV{?`+$JKr;&9KOvSeU)vU`z%rw<B6(K4a3{4*&z#byiAxEoIA36nI!q
zE5YlaidMFQ=Birx+AL~Ucem=1BbY_ntKkr*64V|ugjq2#qahJw3$`gRCTRVDuv`Qp
z3O&BK|0?bR`+f#2jWwZ7UE$p{+||=#k;<{+!qIc<l)zF<Adu|2I_ZM0H}Gt*YcI^p
zgw`{H0v8TvG;J6odIC=se5c#VZSHr>b*^%b^@7svGscv`&LdR$`;as02%ulYNfa7b
zcJlM<hlrY`#;&K7=6_4>e~*$#q%<@{*pIHC3|i>7AYhlf<8m2^0T!UF60m&1;pbp!
zg4uH|KBkP?_N*XochKzHyTO$op)<_C5)36rUSRZDFDntIfO4}b$^{Fq6?m90Ou%x`
z>RzWr=<4c1Ts(P{2|AvK3*36#{)=9Wvo(f>wW#M)e}0TUdyw7O?xujq%mZhv>Ch&z
zo2WRbP$-5MDX{F75{uyL`L3~N)7kkf1r`DY;{8YIf(td0b+XlQb>Yzk+U6{@_c=(U
z?5}KVQ<9f&hUJij;6XpBfHjo)ZGR)}5mD!%C#j6TK1|>-5C>ler7t4Y6%*Rl@Ozhf
z&o!g@d|>wZB&11RGM_e=fe$|lU#Q`{`;XX4z)rkWhBXF$V;z>%ovQT|S6U5eOE|5M
z(N74@cm=OFmaR{<XbwjG+{69G%{DSJ!Y|^W>cIF0>O}8bTWlQ+VNbMdfg%$Wv_!M$
zs#UA-NRCcSv_WgY*gb?vH6viA(d!it9}LGYv6|*4`n~$oavCriO+mpAEm`{uzy1XN
zq0JdF9Jvk)<Qvp_)g~n-@>~PEBD-cDWfp#d63bRn8iiMqa#`x=$Vd~=FQkSA#FOzW
zc#6o&=bNqqJVIjo{6u<?$MF-kk6Q*2xCF262{hnftA$AN#q=QL8YGosQQbE^iOmNa
zDb6GJ>PSCdU$FjPqfDI7iTY1A*@9CwW7uF?m823NqoKJ^m;EFcrBsx(Y#A6p&BINZ
z1E2s}{ery+UwgpQ56Ms4y;^ae2IHfX13bF^^g0YHizg5^E-UK%g0^;~$AK+jAc+V2
zK9{gIo(HVEPz(qbSp0egY7^$kVAVZ!XdDU+n(xHlEe{o7rw;F-T-bnbf1#fokbryQ
zR9I5f4Kf31R~AqFVK#@S$x9T0m(OsS@zu=Aq7V<@p|9kF>)r0#pC&9yrbXyyt;Tg!
zT`C?Zk10zRltK|HMGI13zcRiZ-opOCQaTIe!m1yZS+dhBmR25xa*9Ge7WmonBe{v-
z@BWYe3cullwcgQ`zq|ki&u6<DbJr}W8JG{f3JyEZ^7|ufyGs8$I-iaC!3-DwrsFKh
z?ZpQi8b`ttK542tm*>aQloV>}Ud_g_qp3c=F_HaJ;+qnqsh8>wG&UblG9d=CLL8^7
zttV)78L5%T@x^INoAz$8%5%HRYG$NvQA^6Z^R1n3i>i1WBU)RTwMml)HqNX%N|=Ai
zFMCyP(<&$=_A#}(AwaA#tL5cQW7S$g88h8!M+^OO(`p-M@%eiBXwiV~;IQe>$Aaj;
z1{nTc-)_INH!7PWc%WmbiAIm_UZL~r1LFGjcGaQcUL%5cb&P05F#8bETBGvarMijm
zr)O>^<vE`VOUO*zUK5pJpy6w8spfvTvo^L~LzCKDaf4ALI(2A%td^<zJgs_|+Vsnx
z`;=B5r#UQAE4!WeWpWC7^iHxnRWx)1@5Ssld2>3oN3`;sL`zM!Ben9$9;T_|)Gg|8
zMiHY&ls*$(wNK{Y#+w2Xw5H~ED}%Y6Cy9aXD;^I6o+e1onV&POKBwIA$W(7v<rZE?
z=|~>~BF*teVoOP+)!gBAjmiaWvySxzg$rNg1fTc}pQBfzn=k)eS=s!tHNSNX7%x^f
zA7*IYxS^TauA#NHr~R2r9j{TRrq}#$GhFYdX9M&f_3t&crJkMY5VLb^+3bE%`;VBt
zVz;QF8QObfP7?l1&ZFECwB*uOgK54)TrxTyYp88w1I;PI?@VhR)vA8FXQU8B*KWAt
z5*^{y<1J`Xm#M|&5c!~1dgFr1bO2ZV;?{Z{7UOWYHMKN7yQ=nzy?)CW%jpgA?tP(e
z%P%IH`QwdS1^eF|{L#8YfqpZ+s#d?V|72aEeC2d;L_m_`#bUy7&?Gi?dR{osbW_cP
z>(@hmGr3|wY~$%}my>W0vOkgU#oj@miVEO<;6FhmjBT=z%9tp*Ui3(-=hCi&Cy36k
zcJ7;kehxH}x<3*wXVc{=N|O^aKfuk`xT}Y&^nLW~L`^_bfI2bvM@fnXZ5_YF$&dwV
zq`V(1xA?PLNZ%U+2KUqX>cCfl@`bBiwDY#9c4kbTl<J`!WE0e!i)J<JgYpj(EBkM2
zN{&&Rnxhu>`ZW?(4ja!KS??(*pym{`@Z=Tx@KNh~+gYZ@dS{1@cFq!x%$ju1MTJ<Z
zkB4J-^VM@2>TUzmwRxSywhn$Tr>a(N+Xh+sox4Z#EUugw)9pMksU%q^B6Bn4O-80$
z)3fti)&6L0@}7w~Ias%a^5OFHZ~y6&Zps<&+b0yuw8?Bj6aBo&RM$QfW1Xb*1#Jw{
zQkye!i2AXqVs1Ui=2QzFit_=(h40B%TYQT#Bxq)Nr;g4Xct~W(jmf1Y@pf+KO$D5<
zoyMr0K!o5&0x|E{{sd6I&8E$+rm!z=CF6k}qug$YL$_i~2!f(H6i&L6)XY2daG}!i
zL~ABlMTdk0e7LxVib@tk;z=zfXGoATzh>u!r57MUJaYcvk_m@d#KhQ_qn&fqf$VWY
z><NrR<IN7~M=^`HuigRY1iUZs1UznXL`EmvK67bv-%{9zmWvNEAsP58IYH;Xs?y|p
zO9F{lBuU?qZ&5#o&TwqXC!dfRWjGEZu%U}JDy*Y?Sgp2He>vfmkz+$7ppr%5g-TV;
z+H%woXZ1#IZW(x(5Yq>P5Tq?KQ|9(TA#w3HS+~nR;<Ql%=>Veko0Thr>D`bDw{G7a
z04D7^)7)ucpKQ`647GTtpY|=KQG7SqG51(n(7*-l9rzU*R5%f67ns|Jx*gOESHFOq
z8{TXuJQ%eEXgT<AP<f+n0?Fv({X6@}JSqot`VZwhFSkgMB_LcGC@jt+L)D|Vz9IcN
z6w6@Dk+I+~TydeFUy!U)ws^uU5)rYPjyhdR1IOB)WSoD<*F3v`w`ec&OM-#5pa2%1
zk>%;01317ys4afFu^(zmzJaH^djX=UkVJqi#%c5cTHDz0Lsr1QIpIdYj|n0TNBjQd
zAlw=nj%4B;Y7S^?cRfy1KFGfy*YAZ(JY~buu}q%QDWrNV7b<W>hANJ#=goqMhQRrd
zX#<4;bIx3&FgF!mU*;XTw{r7hcED2LAwA5LcI^0&-Qvs#UnVq7GN}s=A5>}VfmuUx
zm7*VqPL`AQ-iYT=EnRwBefSnY-O>AS6a(9Z{3IijgStQ+b|?)^P4_f3u3Nto08{5M
zK4g{C;*en`AaECSpT_J!W*x(40ay-e@31avc37lNgio&cu=?5ZD?^9ug@R1*`+nKk
zI0_Y*86&Bt3w<76{!SN|PI%V{lnfSQX^sHgxYM|`Am31&t-o?u7ZZvT@U<33XBmjY
zMvIUxhS>e^!(&VY<6S(og5vzc(ot_<-KsL&)g^_g$&I7n1JLMc4Ty=9UI?v!GHoQQ
zNJ)f>=x%&C*v>%JrFaXr0oe!97u-Ppx8q*o0>iF`;NN15o000JQd(tmFD(_qVERyD
z3MIo*3&wU%jC;$L-9i9tLPC{!*WK6Wkv*AKo6yMA@zgFH<_%~`*cs~X$iZCy1$iRt
zD}YUD5WCpKEaNylz$l4PGy3@Xkzt-#a)tp%C?9+)mM$4h)S|c$`Rin01D9YQrgru=
zWhRAr7VD!SFul1k6V7wKpdF_kpMD0MZ0u}@g}(pM@IJs@xWPcOqS3nn{{YhIcyv%c
zlrJwW8qZXnp)h!V6_pNk2-{WaaGaz!b4?92SyF>%da9aW-@@yVj0XvzWnD|1bI@g0
z2*S30l7r%WZ0SljghxeXV;C<T=?0#r7f1Ga^u$dP@Znh>TW1*lp@V1AuyA+*=@V$F
zT)Z^FL3W^Va>}%83SgT+WV5}(YKn}=QXSWiyDx6z6@;+qbUiZV77)+vyG8^>h0OGU
z3P$gd*||u9*l3%NT}t&Vrq^}#DWYYp+;Nh@$SzI*lK6h>0dnH4bgUDa9wXPo#C2zB
zvlA)*=nCy!!ybQ(|DUeMbk5<+e2eu@w*RYsbVx7S!pqy|Dtj3V1J;El()$i5WB?|t
z&?MZ@+L1As%`iGeot$o>FkI*kIJitb;Q9o@EQhr%l#`d5W?^hBkFN%6fGG=T1}T-X
z`-M+Vl#Nkb51-jcIwWt<m!71Pk!8b|(Ha2g52^-F95PbObbtJ@6l@DPBXV>yskwtV
z(dcg;oJ1BcaNu4U884`ZKm_N-;5u|eoFoEWM>P8of6wl>U`wz79N_8DNo+$#1`}0&
zYP%LC_s~*Rd|JHL<Wnlg2Mh-|)7msN``QoBH+I%JL`=deRdS~6vS&dNMizk-xC?a@
zSV~bbkoN<c);i!<!Z<b_xD|6+_@wL)f@&j8X0bBqET)-L0Hsv_4B2N_dNyTix>$ux
z=61xjoXxv(MGZq<@slM=o*~N0#b;+w?T74KxNFu?QBmO?EI>JNIQU;y>R$!szxV&~
zae^<cBBb@QTs*POu7kJ9c4#zmv$EtX(^*pnwW&2^Koh~r9JfcZ!kikOW+i-FaF)(+
zsW~p*=-VAk4N@74OLVJ_M9g<s-gr|Pp_h6ytmt#w3Ej~ru7Z39{g(7>d1Z!K?cOiu
z4Wn-Ke7)0FW$cD`7$x6ilb2*tOpTMU$n~8yEl#M<jNRHacUNI2UB&#MVd}{py=qbi
z+>{e(g!HjG>F9hvjeTi;;dw86iSdusIXq3F=FI5N;X$PXNd+@R{feAG8a><7y1-wL
z6*|FOzqdk7ce;Ots`J9M8KKzMDBPl^O&@(6Js1^Bt#|lYEMT9O?vueO)rQUiemX~?
z1T)`UnJ^DNs8YPALo&2<{FNv1)7q$h33Kc1)5f~&mtK5L&x)O>T5EOdTjie;2`s|C
zFEVec+RrqTZ}Ge?>k?%wd_t~7Q}<B%desI68GT|fs=EEgCgqk!Q?Du=`Y?a5i<JPU
zu>;ld-m_>Ap@(6nH#4OjBcFbZX|S2BSVuT&#l|*$+C{%PkZF_s@D#!Od!$o{wr0kv
z+k5D!gbC?lbEcTBRZP#R3l>iF`<HJgX*n;_=t*@EqG=|Yy0h051r<84i4ol*tvXu$
zL_*Hpf@<~o#sN`%J%#B(qsB++E~4}b?RQq|STk?S*%j>(JL#9Qn4<$36Gi^iMo9x=
z+>#Nqci*jq=Hkfgg*t^rA$op#pO{E|y%uZQ$Ra}6LQX-C^|~kUKt}mQU(%RW_fh&N
z$H5HkLNiTPhk-z<uZh&>FOnySso4FuXOaaBbeg&i8`Tdw7+bK`bq3j52?Pq!b;%lD
zx}elV_sWCl?UmXMQ7(gb-TO83z4B*9lT=ha9_d`E>(OML8GGxWSs6eqD!!gCmkS>C
zZC7nb3o@D+5uuMx9?bM((VC2JbGvtOYs`v&T`y=TJf1-HX_Sa=ZlmQzn$?8gP*v{>
z3}ob8Yd=Fgw~$W%sZOz(uG<mJ7H=GM%cPdPwH_`g7Oa^L>aD6LTII7PszdhsS*l1*
z)pHV#)<&6oJjbR|5B3VvoquI^@KzMJ5sqm;1rMm%uF<&uRl;^K`_k%^)s6wqGAC86
zG~C#~`Y1hVYdu1A7Gw;+nwhU|t|_7R?AbMD-#L&iSaO1>+Q)uspmU8{@$sZ;ZJL@1
zT}7<*w3Skjz%F`BxAlw3f)n(c;oY1uX^A;hE(?j+wU2}=xBMI*Ri0!q`*NqCiB~O^
zev{cvd#PhpJXv#2LXB13qsr4%xqm(JIqQkz>_N-7)_053s+oi?ua<O1oP@1~=Lciy
zh?+4qqBB(>;jXe;X5qsG#{z4W3QtaYb`*!1iCh2Kz*r5LA=kkR!CAgfMXS4CO|<S+
z5T;OE&n`9fQYh<okcBb!os~;FJ!6fw(nJJV;5&jISxlSL%|j^~%iMxN8JfI4U6F>4
z(k3X&Q_|N`8n-VUJk`+k$%%Mj$LVxv5iWr(ixf&A$1+_7!%TjrZP4wt2hl<&Gw?m-
zgW)m*>4TFv41GCEhrhIRHX_7whR~10E4Wmsld(wTC<6i`4JO`OhSKHFeInap0{a73
zP#EG%Z|ne?unE1mRC4^)u3e<vb{}7O2?-!T=)pdRseZ`FUbT8P#sLH(XcZ?UqaNi0
z8I61YK1@3NKm2eyrv<6H|EG=?mRdw=8R@Kpj~neW_wL<;w=+^X{4ON-!9l0YCUf}G
zgr(|1V#P8WP`}%AuB5bns~Fh79+&Y0xA@r!7~;r0G8R%L&stg<GE5QH-QVAD@?;TJ
z-sSIkh}*aOM9^+m1BZc@mf7Re7y%r1<;slq3(Sb|24rCL!z+xKEKrwiIF?Nj)`VlX
zS}Ok5tsi)JjP&%ZtU$!U0J#lm=NRheCIu%Vjy(J)3WF(@=6?Nw9-MKwKD+FI&<x!b
zDIfA*E*HfZBXod9J1V9_j%=lJZQhK^Snm;v(t2DGjJW}mhF=YYfdfPneB0yXtWSJr
z=+KQ-pz2YVlkO&jk&=N{Xip~jF8mwL?@C0IU%mQ@$@EA=`4cGU%lX}R*U&bA{&P@m
zY61c8@Rm5S-6G=xkg|c{YmE2gBnBMch;0kzSDNh+*g?s?xqR53DgRo)v~gek6`uhP
zX-pqGg_b74P(@wFA`lZom+Ui}-~d4Rd8Z3DZP2%HS)N~CqDjsULjiAQ2vIh7FuMgp
zGD&~IKC~Z6=<prZCe|sA9m9=9ejgy`ZD}X_%`p8x0-?MeUEJP{0ZTKuUW1~>9SrH6
zGDSPOe81_!MPQsCmN1TizOgYcH}{@oU{L5YGHc;`L92lv@~`2*Wo88$7)0p=p^#@_
z`fZzYdZi}>0n$0zn^~vqz6H$_TP1rIX6k}GRfjMCMN6JlsC_emE;qi=5rqKcc0m~A
zo~rxi!n&pPo{BNIZ-J_5O5lGPUFBxuDPMn@e(~Z+XD<o18~ugh6oX1~7OMtGc>BhU
z8!>}y+qS~f&sNe=$+{Wff_uttBdR!>`SvaNU99>vh8hiy>ij6avf*;~QK{j56w{7n
zd|Q<p)Lvcf@Z#zQMi&V?Scx|h5L_VmP<orP|9f@v0`DF~o5*B;<9<cOc}&2Y0eT}x
zo{(~s3Tc?{EdOSZ%w#c8Mj*3$KUXYL5yT%<?C-g$Fq8|1RDa78J|H4E4EEXKeegjT
zbi)-NRF~+*({y-25Mveb4hsZcr+{clejyB!MA)_)<I^2g26h&yrWbe@I9EUS_R8Ty
z!oh_VfY3O3QalxhD~b-8thNe|&@E(vbj@xq5(d`Ns17+ajd#ObDLxuD5%D3B4~sq&
z*OyeXXFuvGJiC~xMs64S!4I)w67V3XHqRL3!90aH<&+kD3Yo<p0U3V5nts~Kg3rT^
zrs{8w0jbbE?Y?(8GR+0{0b=18OiXCQ3Ho$x50!_r4<GeilRM?YGM%xvb8&`j)x|c*
z*NaVq=NfX4^$R}1O&9!|xP_Tq`S<P&WKry{{OFpiymdGtEbJVZehrz;8#l6$xEI-W
z6ftPzBnM4iz)7Y}YW7`<Yv<CA{x}{<6evSAQRHTHuEnd<q7?>duoqSTZd<(jS&8I;
zSCMwRD;@@{-e}?P*R7NM<YZaUB|CRQ$Z}&bE+t+7!UitewYi=Zf2>?a8Ru$`Phsk(
zd2%gsKrl_IYa?TBZjSGs8$c)q0}7LR!>3~k7OQgL%XjnO51Kz`DeY$nq=fGlIgaxI
zD?e8Zb4nscYUU#W<1wm46EWhF<sU&^==EB8Q(Og?4}q;$%FZ0gLp6>OQT>rAO@p46
zo}?BEmAPiGKNPN?4j<mWz5-@#%yc5Reeg$daYa~0$PtI{zFDrl9jy!4H0f~p`1Hhi
z0h`7zx#5s@*g?)2WPO<pk!goq0P)kS-3M8{KP_38YX5?KxT7y?e1Kob#7!Dp!hYoi
zUDZWfIVn4q55K>IBI<Nl)yki`60kBu|L}!qhDp;vAb(}!1CpV$$9E{NC)kF=vmgL)
zDht?=$&ABOixG>6=LErmGgBT?g+>Rp0~Q<%Bm;C500DuBX}ka;_5tCQFtE?m^p5-5
zA`PAmeh{;lWRxH<UyPwYD5V@1mNciccXD1B@|8|~c~h3VseR(!6vWx#wt^{`mVj1*
zV2B#@^n-lSj95hsr-BBYcYH?&0<LlPlc~yk_r7w@k+FaGGoTb&Tw{>Q7MU%3_Qh44
zOn6UZ-o3{}Z&_JyY;$DbJ`C_FL-r6oka}a4KsIM>-FnI+fRejngjWua)(s=bg2>gk
z*M0k6036t=&3pIdw0Xw5mv%&sNiS+ZmnMe+G%p^3X#$$C2?vFt`47OSG-yb4{NvlT
zRJuy;7U$pFUmuH85lrrAi(^)0a#|Em+Cdx;-=kq9yZ9(U(>yD9fUnkg#WSMTnma=3
zldv6gTc+`+yhUR12j5Ce$Eq`>o8$zXnfz>|P5+p_W^0qUVBj7*_OoAAJ=quksLogF
zdYEv<aK83cJG=Ee!3`5XD$v<eXO0`aEF<E3`+M_;YCnBc{nLF>m9E_0z2dvO{d<zn
zoY*eNH}-{2pE_QrV=cBt>el9w6eFK^uQOG51zJZXaJ<cAN?UN=0ssnBZ4mw=Ie|O=
zU_o2ZMQT<-+x)ll3q`c9ZZ6&?CBKk32~NYz2RWL?vd<NF<R_;kXeM^=8U4aGy|sDl
zv!Uu_kbuK!>QHR4K1(g#Q#>P`ae!Bbv$2|8Y{<H7I~6rCc`JclWUQZGt&+^Qm%b{m
zUa#PnJ<9n<Sz-5kRXxkbJg5t<#h1bsIvrHho4;l-Ux`g;WF=gE*4^>)IkVy$=C5C;
zZ|t<WA8$@Pw_O~MkH7xB!!`b=LvC^dY^BLRsV1Uh_rDKn(iBUY9oeKrwJWP1>?{d7
zpdFjE+FQf;NlT%KqDLd0zE8SjM|7(OwRfu9_*a{OTM=Kc`^*Pyzd|!}b+EB&bEFaG
z#}D*~*XEy&-*dy(Bm7-%gL5XA3~tC<F}>y|3W1I4tT9gM<Vy40ZQ}IVp4Qp!Eq(Da
z8&x*9(S+U=zkC%h)=N#kSA5VAm*1{y;Dn&x$?$FTfaf(+d$bhZpI}7a6#m(CbU&TX
zT%zQ;wy30vl*?2mAzf(D(%Nv4-uyMfN5C%IFc*L#w(54?QI&vu$N1vqEUDMOaY<%y
zN1N~p+s!@B2{yf(BHSpcFdzM}f#AO#X=N3%X#he-x_z~UZFczPhJ~wP3mxnhT5oY<
zs?SQ#_^H3qwK=5fZmHMppvya(N6B<3pVU>^KW5M_H#aQ3QL@=7ipn|ms)c_#E`eKF
zN`+a{8ndgi|C3j@H18^PB5CHFV&T)sgsJ;A1)l8DK5js07h8i#amJPIoYOCDJLt`y
zR9LUj;jp(d@O9fO{`pDArodJ~yE3zG>pj)|$LT9Lm=1=<XDsNV#WLD^W3`>=`HAsi
z0looi=s{x=IX@TVT`~=H;17*RcweRzGEhQ<YRr~oxO7F{v9oCxY<n$ph|pl(2<<G`
zM2Jlu?8qEE>3c-CS9MJ9e1DTZ;Th8w<t0jAdobw-uhdS#h4WkEwyE9J$Y`ow^!V5%
zSlM5B$VPg{DI$Y;e^6a%Z>7_h1Cj-Pu?Z}_F<*yukAy25Y7|9P7&1Dn12Nj?6g&fj
zDm|ynY^qx}GLQWHN5Yq~;h2#5ANEx?DAbtt8JV!cZ!quX<qW;2_RjcJV)aVqsOvtN
zIlQ}MHxXf7ypHMFXl;8_aPCn;>+7AW4PM%h!uIwlo*--+3>jCtGPjM@1X%{%O5pgW
z=B}AZ_2t_8RJvBICM%RX#MG`z2GJXC|FG5ky&CGO<lUE?<OsUi2KvWXoikNd_PtH!
z0x|Uz*^HGonQiD{lS=mg{Az<qB%DnXnSRi;1(pwyze7-b-KF1L=zkqFBtq)V5AQ8$
z9{v7YzktES)U7$b$sYTnk#at=sr6JlC?+;LZp8)mslNah2K~@+MnGI~fENs-AV8M3
zwTif>cRA&>H9#Eh$mgbfy<000?SYrq>-*O-2IYc7@X|5TOpYN%#uZ8D!=?1_WYW#5
z^3Um?V_k}Q;5!0^1|kn<@%=ylObKu-MmUw2m@{Mrq{IV3!9TD}hmjPlmVB?P?47p*
zMdK_@sdhO^srE7{+#GzW2*n2cZ_x)G-#><J9O*~!6=B?j!K1tX0`>?yeL{E%h9%Io
zv^=6v_SqmK_rU|PQ;+|^9L%!&DM9+=aAZ`)Xx9L8ae=dXleVJHljE2#iw+1B<T&q<
zGiH`)w&nugy8lYMKsGYp8$We*b@*eECJ5mJ!u@^78)~Ym_^bw|Gz1(&A_3<PTM8(~
zc}zb8hVp|JgiBB|{pkkar2f=bnCmcA_7nzBqjd^p`o55MbSZK1^7>Y6_d=2X0PR$m
z%Q^)noH2QVQtA=9bRV7vfAorFc7Ok2ZoC)0TYn0-9%aKm0<nffqe4P<|4|{}WQSQB
zR+}0$L*-WeXS782QlfMQDqg*;c-)ri#|-rJv(pPO0ODY8e`<FUIl(a09>AT@NX=XP
z_yJWc>f}6}?@%N@xXLoRPvcYFT>4ZgDB;oKLY;v10A4oLd$F-C=$oNJmq9g@*MRP)
z1G{tPFsQB-uiSVPk3)>O<&)3r;HcV=N9F>kzSOd^w&sb2d-)g&!k2433l=omfDa+l
zwP3Oy*+{x+6Q-2vGk!sX11u7#Auv`CU7Tc#Cd#3rzlNMXMK)PH=581+>lo;Cc>o<j
z)A!50E2h;U1z%_{U%beTLVydOWix&)?Y(j0h!5P%BTq@VlAhuM#61YpFPwHkP$=;i
z$sVutQ+r@)22><F<B->evKKzSdfXkfQV$`ndGB6z7C3NEB-Erfi&0D~{vATm{~3g8
zEO;HdP43g96Hl_Ruq{{n8A4){-beyZp9-jmZ;**X`Z-|mk&|ok@%oV?%du%R($G9?
z92rNvF0a0!Ts0zRhKcOkzuyHK50MWk5w>q<JNVH+Za~`ssP&y3u-j~&>v{;b=Elf)
z<EfF6JnxY|9j=Y_j*}8gp$qgb{1AnRwk|4iDE{*;S{#C3z;qH=-bZmY+qJ~RBmj?M
zj-a{*=3Sii_J@F0OKGnF^$NHRi&LU_;f9X|ZpBy0d`0AIUk*TE$_!Q#Kwtq1N|>U&
z5YABkz@fIIqa&{^)p!GiVcEK5Iig1%m$1;mBN!N19OjJrl6s|#OvSt|1$Lu~qeRob
zJ|!}YEY<ZrT#&Jd0dyBZhy!6Dy)s>TJ-M<r)~aLt&a$ZurYrRHM#JZ0Rl)VhI7>s!
zt638kGmu$C@X;>W)I1=RXz@CK4z~FRc&Bs#Jtw|?RX=`wJtt@SIBm=@1Nn-AZ$Rp#
zw&6CWFW<%rIfXVPsCXyJ<DorpIX&))7xn;{>S#sayJ~kjmth&$)Ww@U*$@;IWO;oK
zoz;-T4IiDrCq1g77QA(XfPhO*3;FzC7x%|5nCOsZQL<QXXc4)2>sHy*r5E-!WB*yZ
z<T`sPyY1%t_owLp3ifn{$iQucW<((F7$jXHcriRY6ITiy8Dw0#{K>Zeh8zP}tUvDg
z{_z>r@7b7_2@pSw2F2Q=<idw3>A~^1e29VoPYBNxg=P$RPJa3B(z%w7MNj?ko)x7N
zA@l*9AR@b$2oEj&^(B0mwFjt;$=@JGWCCW-)6tqb2egPk2U|mSMA<UQ7Az`Napc7&
zE&&7ZGw-n$(ObZ|P4)mBy%20HoUVYZ$Oo;3IhF$$PYKBkTR4W#6hHaWf#;FWrBLTw
zBoJiHT@@7xiBbEURZzQ^Tumb7KAQenEBx_p;B-=|@17RGgf0+iXjH*#4D|N$Y}=*?
z!3O}R9XqU{eG;}TJoEu*<N#jjczotCY+85@mUVYK*sTnGh2m1t`yVv^Mh%@|__jc@
zNb8DvijN3_XcEm@(3bE-N!=cVkpR86^8i?CM~~Kj{+Uu5@+;}w`X|t52Iuh>Zf?UT
ztv*QsM`23@9aX=&-lYi4h)a=v@1J-Od1cBKCI(v?y>~<A+4K)3$OWeN3OX~*A~3}7
zb&yq8*OX#`fo^KlqN?Y!``mCw<$gA{Epx~UIWqlpW#g#I`JZ>$)wOSG%uQ$Amg5L{
z@dr<mu$Y#2Vr1A?QTe?>^R$9~7I*xB4RtZ&!;QObD{KX~JIfClE05<1*tfr`KKVTO
z#n>1jEGC*0%J*QKR7MZqZ<@R_^Es-Mut8C`&rd!I8)ONcV%^+4R$P!6G*gt&%-<x{
z8?R%;3Z)ej{DDHr-E$cu6T-@AwtI!NqV)E82|9Qce9|jgt=6ta*!VX;e^r||WkSCR
z0MgKKK%G!5s%cg+kD$tAo~s`T|E#WHWmDup&$!fn)@FZXT%u15@mas3W(zlcR-~de
zteA%_SlO`q#envqXVxKily<?C6*DaBuScZWSxU|YTu!JtuFc!D+DMqz^b0$+&rI3(
zqnhAI^BO;zl1#U>po9MpzYaTCS_yplMC<)ITaL@MzqFHx@*lFZQZe#V7hCcjUC8ck
z${5R?*}#|7`tY80Y_3OA!rMt@)yWU^*aWi<Ti&KRX@RJBkCNr8-xO$H)_=lX&UJt7
znYP2URnsw7oYgCK&}DpvB{IsTtjfl^?|mE8lzMhueY|7+<VWM=>^<T_-7?OOW%a}Z
zXQ^~P7e&4Lf(XqLpEmW+S@{;aI>|oQ#ZKK76-r5;NxZ6Edu!ZVAU4cHR*{-l5Hs~c
zwdP=nNUE(&*m<^lx5sphngTsP$>T)5lGipr6GE|OtncaY0>RtRY%5lLOH^oHKhv`R
z%7fp#CJJdyyi($Pavnbs%ofKZ#TN;&cMHFUjmhO15rzK21MenE!pA!TykaByvTs!t
zH?w>~J1V>Kr$V`hJO`Z~&e=kNImq6;Sn}4F?^?F<H6p@nl20%F9@RRsC_VM*=Onhq
z+Hb=WhzyGyO%?O(r{;(0H!a!HZrS-038RhMOyYK?5cgf<!qk=P^>t4<jY*xpS(8aP
zDrcGbeUd%*zSZEh_4akZZ;h7xrwobpu_~9cZ|1}*Ouba5I~P?Krx`^TC5p@s#?sOR
z*jaf7vFqJttSwZ&uA^s*wK1EMI5k;XPR#b91zm~sRAQ~kRQP9)M*|#I))g<#?N(#G
zohu6&=-<OOAp)$LB2^@{i2>_1j~^b<Wk<#Z!wS(lAQE9U#-LS(xx}|Po4G`OmOWSA
z`kFJQR-RE`LzHG1y&W7P9488ykGz!ViF{taM;`u$CRf{In19ryT9s&Z4ltllB9`=B
zYz6<9<RW4RPLIS5nMg6pVy%U7LTVq`?19aYfcKOOG6Q_0*CWZ8<vOLQzpY-KUr^BE
zm<_j!8y7e)0l$GKki5~&`7Ygpjm?8>20-CouN?XvWxB~bWE<q22}t<paC_+;XM&0p
zC2xOc=gFhkr-ImFYW#UiU3oCjikKI^&-#jYhMEw3;|3q*nME7YPF|r<7;+?5xzK;T
z?4vi>%*Bz=AoV_U8{<et^^j@~X~;b69avQ~66QEIvC2A=f_6nkL|`hIBMJb5Of`Vh
z8h8bNn2?l&+A7^RtFN&Y&RXkb?MVP7BUxe{I~JS(9(fps4A5`}^{L=)VbjpOjrlY<
zoT@|vP@9E(S;*^&mmDhf5+nZ{{C^fQe;HiMpYjL>PQsd?GXM239mOyiivp@E%b}|$
zHa!FNm3iJ#Fn;@s#)$-2xJxh~hO03RZiSaWQA*Q)TRPYnYd}o%LWSQ@L>^v{-kZNH
zfB|%md+UrMC0ha?g@B37;kPOHn4hP&22g&S_{*n8wm4qBii@Fv#57;{!dqKY1d@{R
zzNDp0Lj&a6u4EX;;MEe}!V}8m<7hwsRtuL&vI?mysC-l7F@fu=@UkVK8TrLXr?C24
z3owN#ya`%=deH?{gQsCTKvA(yaBixEy)Y+1q9@WNK*#AOCL%IlZL!FLF$gE+JM;s=
z$@FZEKr4iq^lWWJjxUQWPNex5dJk1;Vf-y=qEFY)#2GG&89CITAU3*X@u~{kctsLK
zA>|3970zI;PFC|S${+SiC(^0d4MlKInYHYxM*~vu5iC6%iNpE*405m;j9-$HV_0Z7
z>k)+LJMg4}44QVx)uH^zwOnAO;XoxomcPYk1Cn&8cSOf+ST1TYP@%vfuM;)7Vb(#o
zB|<omfdrE@946oaEmB2SQc_fxEp;xKFaroe!=MpM*k9o8FWk+{uhpA+zHYy_x9Q{;
z(!+#hEkc^<<P10|)A}1o-^3{-bDN-1{K%2t5`fasV4jP)&(Sg_>E=p3H@=X@pC`ZQ
zps4YMsm-ETj`CyH(#IC5D=V|aH35H0JcY*zhB5T>EIyY;BQ)wJr-SCbew~O72!0_|
z=z`;W)$+=`*ygOQuKq12XY^CpMIZ<QqAom_2KP-(&dr_1qsJ8ue;e<2w$%Ulh^Bi`
z-(|UVRTT{7YqH32dlXf8jOK~eD3$D~(D`)FCF^|Y?e%GK%2^=NC=~mvBslvps{_1(
zw)z*|@&PbN0!g_a-_4e6C6o3${4*2aL`UaFfmk!zkkGA6<KU5afw0i%30}$x!6gvY
zNLE^pOmY|~mI-Cd8mZv-tNG|UU-)3aa}K}N+S-ave}OGqvSC{Sy%30=4~Vx=86TH@
zd}x^7jyM8etpZL;?yk_jRBV5xx_u34$UU4b7%uk1UW7!bK)~R3;L^K|dZ_HlNdWkc
zZm6(<?a!H^MxKVo0hd*u@p&G~38ke{k8v0)feptTSy1+((`$}w3CN7~{T!x-l5Fn9
zCT+3@1^5?e7ud=hf+pEn4eQZZvj<*=W4U6qBavT4X!@VOl#~S7+ow3tVX(wco_z?f
zRLUg(oQZQ@7pZO;wf&7^D)|pJ*niMKr{|i|xq!;>!|qsmxc;XO`K9aq|LwE?-&esM
m_<w6r_}@$S-@J5R*%Ybga{7EvlT*m`PCt752;-;Izx*3}!>fz{
diff --git a/public/comparing-and-combining-scrna-seq-datasets.html b/public/comparing-and-combining-scrna-seq-datasets.html
index 832c937..b078b30 100644
--- a/public/comparing-and-combining-scrna-seq-datasets.html
+++ b/public/comparing-and-combining-scrna-seq-datasets.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -506,8 +512,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<section class="normal" id="section-">
<div id="comparing-and-combining-scrna-seq-datasets" class="section level1">
<h1><span class="header-section-number">14</span> Comparing and combining scRNA-seq datasets</h1>
-<div class="sourceCode" id="cb815"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb815-1" data-line-number="1"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb815-2" data-line-number="2"><span class="kw">library</span>(SingleCellExperiment)</a></code></pre></div>
+<div class="sourceCode" id="cb586"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb586-1" data-line-number="1"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb586-2" data-line-number="2"><span class="kw">library</span>(SingleCellExperiment)</a></code></pre></div>
<div id="introduction-9" class="section level3">
<h3><span class="header-section-number">14.0.1</span> Introduction</h3>
<p>As more and more scRNA-seq datasets become available, carrying merged_seurat comparisons between them is key. There are two main
@@ -527,21 +533,21 @@ consistent.</p>
<div id="datasets-1" class="section level3">
<h3><span class="header-section-number">14.0.2</span> Datasets</h3>
<p>We will running these methods on two human pancreas datasets: <span class="citation">(Muraro et al. <a href="#ref-Muraro2016-yk">2016</a>)</span> and <span class="citation">(Segerstolpe et al. <a href="#ref-Segerstolpe2016-wc">2016</a>)</span>. Since the pancreas has been widely studied, these datasets are well annotated.</p>
-<div class="sourceCode" id="cb816"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb816-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
-<a class="sourceLine" id="cb816-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb587"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb587-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
+<a class="sourceLine" id="cb587-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>)</a></code></pre></div>
<p>This data has already been formatted for scmap. Cell type labels must be stored in the <code>cell_type1</code> column of the <code>colData</code> slots, and gene ids that are consistent across both datasets must be stored in the <code>feature_symbol</code> column of the <code>rowData</code> slots.</p>
<p>First, lets check our gene-ids match across both datasets:</p>
-<div class="sourceCode" id="cb817"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb817-1" data-line-number="1"><span class="kw">sum</span>(<span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol)<span class="op">/</span><span class="kw">nrow</span>(muraro)</a>
-<a class="sourceLine" id="cb817-2" data-line-number="2"><span class="kw">sum</span>(<span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol)<span class="op">/</span><span class="kw">nrow</span>(segerstolpe)</a></code></pre></div>
+<div class="sourceCode" id="cb588"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb588-1" data-line-number="1"><span class="kw">sum</span>(<span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol)<span class="op">/</span><span class="kw">nrow</span>(muraro)</a>
+<a class="sourceLine" id="cb588-2" data-line-number="2"><span class="kw">sum</span>(<span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol)<span class="op">/</span><span class="kw">nrow</span>(segerstolpe)</a></code></pre></div>
<p>Here we can see that 96% of the genes present in muraro match genes in segerstople and 72% of genes in segerstolpe are match
genes in muraro. This is as expected because the segerstolpe dataset was more deeply sequenced than the muraro dataset.
However, it highlights some of the difficulties in comparing scRNASeq datasets.</p>
<p>We can confirm this by checking the overall size of these two datasets.</p>
-<div class="sourceCode" id="cb818"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb818-1" data-line-number="1"><span class="kw">dim</span>(muraro)</a>
-<a class="sourceLine" id="cb818-2" data-line-number="2"><span class="kw">dim</span>(segerstolpe)</a></code></pre></div>
+<div class="sourceCode" id="cb589"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb589-1" data-line-number="1"><span class="kw">dim</span>(muraro)</a>
+<a class="sourceLine" id="cb589-2" data-line-number="2"><span class="kw">dim</span>(segerstolpe)</a></code></pre></div>
<p>In addition, we can check the cell-type annotations for each of these dataset using the command below:</p>
-<div class="sourceCode" id="cb819"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb819-1" data-line-number="1"><span class="kw">summary</span>(<span class="kw">factor</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1))</a>
-<a class="sourceLine" id="cb819-2" data-line-number="2"><span class="kw">summary</span>(<span class="kw">factor</span>(<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1))</a></code></pre></div>
+<div class="sourceCode" id="cb590"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb590-1" data-line-number="1"><span class="kw">summary</span>(<span class="kw">factor</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1))</a>
+<a class="sourceLine" id="cb590-2" data-line-number="2"><span class="kw">summary</span>(<span class="kw">factor</span>(<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1))</a></code></pre></div>
<p>Here we can see that even though both datasets considered the same biological tissue the two datasets, they have been
annotated with slightly different sets of cell-types. If you are familiar withpancreas biology you might recognize
that the pancreatic stellate cells (PSCs) in segerstolpe are a type of mesenchymal stem cell which would fall under
@@ -553,14 +559,14 @@ we could attempt to infer which of the existing annotations they most likely bel
to uncover a novel cell-type among them (or a sub-type within the existing annotations) using cross-dataset normalization.</p>
<p>To simplify our demonstration analyses we will remove the small classes of unassigned cells, and the poor quality cells. We will retain the “unclassified endocrine†to
see if any of these methods can elucidate what cell-type they belong to.</p>
-<div class="sourceCode" id="cb820"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb820-1" data-line-number="1">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclassified"</span>]</a>
-<a class="sourceLine" id="cb820-2" data-line-number="2">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "not applicable"</span>,]</a>
-<a class="sourceLine" id="cb820-3" data-line-number="3">muraro <-<span class="st"> </span>muraro[,<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclear"</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb591"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb591-1" data-line-number="1">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclassified"</span>]</a>
+<a class="sourceLine" id="cb591-2" data-line-number="2">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "not applicable"</span>,]</a>
+<a class="sourceLine" id="cb591-3" data-line-number="3">muraro <-<span class="st"> </span>muraro[,<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclear"</span>]</a></code></pre></div>
</div>
<div id="projecting-cells-onto-annotated-cell-types-scmap" class="section level3">
<h3><span class="header-section-number">14.0.3</span> Projecting cells onto annotated cell-types (scmap)</h3>
-<div class="sourceCode" id="cb821"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb821-1" data-line-number="1"><span class="kw">library</span>(scmap)</a>
-<a class="sourceLine" id="cb821-2" data-line-number="2"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb592"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb592-1" data-line-number="1"><span class="kw">library</span>(scmap)</a>
+<a class="sourceLine" id="cb592-2" data-line-number="2"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
<p>We recently developed <code>scmap</code> <span class="citation">(Kiselev and Hemberg <a href="#ref-Kiselev2017-nb">2017</a>)</span> - a method for projecting cells from a scRNA-seq experiment onto the cell-types identified in other experiments. Additionally, a cloud version of <code>scmap</code> can be run for free, withmerged_seurat restrictions, from <a href="http://www.hemberg-lab.cloud/scmap">http://www.hemberg-lab.cloud/scmap</a>.</p>
<div id="feature-selection-1" class="section level4">
<h4><span class="header-section-number">14.0.3.1</span> Feature Selection</h4>
@@ -568,15 +574,15 @@ see if any of these methods can elucidate what cell-type they belong to.</p>
clusters. Since we want to know whether PSCs and mesenchymal cells are synonymous we will project each dataset to the
other so we will build an index for each dataset. This requires first selecting the most informative features for the
reference dataset.</p>
-<div class="sourceCode" id="cb822"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb822-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">selectFeatures</span>(muraro, <span class="dt">suppress_plot =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb593"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb593-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">selectFeatures</span>(muraro, <span class="dt">suppress_plot =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
<p>Genes highlighted with the red colour will be used in the futher analysis (projection).</p>
-<div class="sourceCode" id="cb823"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb823-1" data-line-number="1">segerstolpe <-<span class="st"> </span><span class="kw">selectFeatures</span>(segerstolpe, <span class="dt">suppress_plot =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb594"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb594-1" data-line-number="1">segerstolpe <-<span class="st"> </span><span class="kw">selectFeatures</span>(segerstolpe, <span class="dt">suppress_plot =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
<p>From the y-axis of these plots we can see that scmap uses a dropmerged_seurat-based feature selection method.</p>
<p>Now calculate the cell-type index:</p>
-<div class="sourceCode" id="cb824"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb824-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">indexCluster</span>(muraro)</a>
-<a class="sourceLine" id="cb824-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">indexCluster</span>(segerstolpe)</a></code></pre></div>
+<div class="sourceCode" id="cb595"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb595-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">indexCluster</span>(muraro)</a>
+<a class="sourceLine" id="cb595-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">indexCluster</span>(segerstolpe)</a></code></pre></div>
<p>We can also visualize the index:</p>
-<div class="sourceCode" id="cb825"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb825-1" data-line-number="1"><span class="kw">heatmap</span>(<span class="kw">as.matrix</span>(<span class="kw">metadata</span>(muraro)<span class="op">$</span>scmap_cluster_index))</a></code></pre></div>
+<div class="sourceCode" id="cb596"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb596-1" data-line-number="1"><span class="kw">heatmap</span>(<span class="kw">as.matrix</span>(<span class="kw">metadata</span>(muraro)<span class="op">$</span>scmap_cluster_index))</a></code></pre></div>
<p>You may want to adjust your features using the <code>setFeatures</code> function if features are too heavily concentrated in only a few cell-types. In this case the dropmerged_seurat-based features look good so we will just them.</p>
<p><strong>Exercise</strong>
Using the rowData of each dataset how many genes were selected as features in both datasets? What does this tell you abmerged_seurat these datasets?</p>
@@ -586,27 +592,27 @@ Using the rowData of each dataset how many genes were selected as features in bo
<h4><span class="header-section-number">14.0.3.2</span> Projecting</h4>
<p>scmap computes the distance from each cell to each cell-type in the reference index, then applies an empirically derived threshold to determine which cells are assigned to the closest reference cell-type and which are unassigned. To account for differences in sequencing depth distance is calculated using the spearman correlation and cosine distance and only cells with a consistent assignment with both distances are returned as assigned.</p>
<p>We will project the <code>segerstolpe</code> dataset to <code>muraro</code> dataset:</p>
-<div class="sourceCode" id="cb826"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb826-1" data-line-number="1">seger_to_muraro <-<span class="st"> </span><span class="kw">scmapCluster</span>(</a>
-<a class="sourceLine" id="cb826-2" data-line-number="2"> <span class="dt">projection =</span> segerstolpe,</a>
-<a class="sourceLine" id="cb826-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb826-4" data-line-number="4"> <span class="dt">muraro =</span> <span class="kw">metadata</span>(muraro)<span class="op">$</span>scmap_cluster_index</a>
-<a class="sourceLine" id="cb826-5" data-line-number="5"> )</a>
-<a class="sourceLine" id="cb826-6" data-line-number="6">)</a></code></pre></div>
+<div class="sourceCode" id="cb597"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb597-1" data-line-number="1">seger_to_muraro <-<span class="st"> </span><span class="kw">scmapCluster</span>(</a>
+<a class="sourceLine" id="cb597-2" data-line-number="2"> <span class="dt">projection =</span> segerstolpe,</a>
+<a class="sourceLine" id="cb597-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb597-4" data-line-number="4"> <span class="dt">muraro =</span> <span class="kw">metadata</span>(muraro)<span class="op">$</span>scmap_cluster_index</a>
+<a class="sourceLine" id="cb597-5" data-line-number="5"> )</a>
+<a class="sourceLine" id="cb597-6" data-line-number="6">)</a></code></pre></div>
<p>and <code>muraro</code> onto <code>segerstolpe</code></p>
-<div class="sourceCode" id="cb827"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb827-1" data-line-number="1">muraro_to_seger <-<span class="st"> </span><span class="kw">scmapCluster</span>(</a>
-<a class="sourceLine" id="cb827-2" data-line-number="2"> <span class="dt">projection =</span> muraro,</a>
-<a class="sourceLine" id="cb827-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb827-4" data-line-number="4"> <span class="dt">seger =</span> <span class="kw">metadata</span>(segerstolpe)<span class="op">$</span>scmap_cluster_index</a>
-<a class="sourceLine" id="cb827-5" data-line-number="5"> )</a>
-<a class="sourceLine" id="cb827-6" data-line-number="6">)</a></code></pre></div>
+<div class="sourceCode" id="cb598"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb598-1" data-line-number="1">muraro_to_seger <-<span class="st"> </span><span class="kw">scmapCluster</span>(</a>
+<a class="sourceLine" id="cb598-2" data-line-number="2"> <span class="dt">projection =</span> muraro,</a>
+<a class="sourceLine" id="cb598-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb598-4" data-line-number="4"> <span class="dt">seger =</span> <span class="kw">metadata</span>(segerstolpe)<span class="op">$</span>scmap_cluster_index</a>
+<a class="sourceLine" id="cb598-5" data-line-number="5"> )</a>
+<a class="sourceLine" id="cb598-6" data-line-number="6">)</a></code></pre></div>
<p>Note that in each case we are projecting to a single dataset but that this could be extended to any number of datasets for which we have computed indices.</p>
<p>Now lets compare the original cell-type labels with the projected labels:</p>
-<div class="sourceCode" id="cb828"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb828-1" data-line-number="1"><span class="kw">table</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, muraro_to_seger<span class="op">$</span>scmap_cluster_labs)</a></code></pre></div>
+<div class="sourceCode" id="cb599"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb599-1" data-line-number="1"><span class="kw">table</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, muraro_to_seger<span class="op">$</span>scmap_cluster_labs)</a></code></pre></div>
<p>Here we can see that cell-types do map to their equivalents in segerstolpe, and importantly we see that all but one of the “mesenchymal†cells were assigned to the “PSC†class.</p>
-<div class="sourceCode" id="cb829"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb829-1" data-line-number="1"><span class="kw">table</span>(<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1, seger_to_muraro<span class="op">$</span>scmap_cluster_labs)</a></code></pre></div>
+<div class="sourceCode" id="cb600"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb600-1" data-line-number="1"><span class="kw">table</span>(<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1, seger_to_muraro<span class="op">$</span>scmap_cluster_labs)</a></code></pre></div>
<p>Again we see cell-types match each other and that all but one of the “PSCs†match the “mesenchymal†cells providing strong evidence that these two annotations should be considered synonymous.</p>
<p>We can also visualize these tables using a <a href="https://developers.google.com/chart/interactive/docs/gallery/sankey">Sankey diagram</a>:</p>
-<div class="sourceCode" id="cb830"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb830-1" data-line-number="1"><span class="kw">plot</span>(<span class="kw">getSankey</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, muraro_to_seger<span class="op">$</span>scmap_cluster_labs[,<span class="dv">1</span>], <span class="dt">plot_height=</span><span class="dv">400</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb601"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb601-1" data-line-number="1"><span class="kw">plot</span>(<span class="kw">getSankey</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, muraro_to_seger<span class="op">$</span>scmap_cluster_labs[,<span class="dv">1</span>], <span class="dt">plot_height=</span><span class="dv">400</span>))</a></code></pre></div>
<p><strong>Exercise</strong>
How many of the previously unclassified cells would be be able to assign to cell-types using scmap?</p>
<p><strong>Answer</strong></p>
@@ -618,29 +624,29 @@ How many of the previously unclassified cells would be be able to assign to cell
uses a highly optimized search algorithm allowing it to be scaled to very large references (in theory 100,000-millions of
cells). However, this process is stochastic so we must fix the random seed to ensure we can reproduce our results.</p>
<p>We have already performed feature selection for this dataset so we can go straight to building the index.</p>
-<div class="sourceCode" id="cb831"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb831-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">193047</span>)</a>
-<a class="sourceLine" id="cb831-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">indexCell</span>(segerstolpe)</a>
-<a class="sourceLine" id="cb831-3" data-line-number="3">muraro <-<span class="st"> </span><span class="kw">indexCell</span>(muraro)</a></code></pre></div>
+<div class="sourceCode" id="cb602"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb602-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">193047</span>)</a>
+<a class="sourceLine" id="cb602-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">indexCell</span>(segerstolpe)</a>
+<a class="sourceLine" id="cb602-3" data-line-number="3">muraro <-<span class="st"> </span><span class="kw">indexCell</span>(muraro)</a></code></pre></div>
<p>In this case the index is a series of clusterings of each cell using different sets of features, parameters k and M are the
number of clusters and the number of features used in each of these subclusterings. New cells are assigned to the nearest
cluster in each subclustering to generate unique pattern of cluster assignments. We then find the cell in the reference
dataset with the same or most similar pattern of cluster assignments.</p>
<p>We can examine the cluster assignment patterns for the reference datasets using:</p>
-<div class="sourceCode" id="cb832"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb832-1" data-line-number="1"><span class="kw">metadata</span>(muraro)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subclusters[<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>,<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb603"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb603-1" data-line-number="1"><span class="kw">metadata</span>(muraro)<span class="op">$</span>scmap_cell_index<span class="op">$</span>subclusters[<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>,<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>]</a></code></pre></div>
<p>To project and find the <code>w</code> nearest neighbours we use a similar command as before:</p>
-<div class="sourceCode" id="cb833"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb833-1" data-line-number="1">muraro_to_seger <-<span class="st"> </span><span class="kw">scmapCell</span>(</a>
-<a class="sourceLine" id="cb833-2" data-line-number="2"> <span class="dt">projection =</span> muraro,</a>
-<a class="sourceLine" id="cb833-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb833-4" data-line-number="4"> <span class="dt">seger =</span> <span class="kw">metadata</span>(segerstolpe)<span class="op">$</span>scmap_cell_index</a>
-<a class="sourceLine" id="cb833-5" data-line-number="5"> ),</a>
-<a class="sourceLine" id="cb833-6" data-line-number="6"> <span class="dt">w =</span> <span class="dv">5</span></a>
-<a class="sourceLine" id="cb833-7" data-line-number="7">)</a></code></pre></div>
+<div class="sourceCode" id="cb604"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb604-1" data-line-number="1">muraro_to_seger <-<span class="st"> </span><span class="kw">scmapCell</span>(</a>
+<a class="sourceLine" id="cb604-2" data-line-number="2"> <span class="dt">projection =</span> muraro,</a>
+<a class="sourceLine" id="cb604-3" data-line-number="3"> <span class="dt">index_list =</span> <span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb604-4" data-line-number="4"> <span class="dt">seger =</span> <span class="kw">metadata</span>(segerstolpe)<span class="op">$</span>scmap_cell_index</a>
+<a class="sourceLine" id="cb604-5" data-line-number="5"> ),</a>
+<a class="sourceLine" id="cb604-6" data-line-number="6"> <span class="dt">w =</span> <span class="dv">5</span></a>
+<a class="sourceLine" id="cb604-7" data-line-number="7">)</a></code></pre></div>
<p>We can again look at the results:</p>
-<div class="sourceCode" id="cb834"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb834-1" data-line-number="1">muraro_to_seger<span class="op">$</span>seger[[<span class="dv">1</span>]][,<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb605"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb605-1" data-line-number="1">muraro_to_seger<span class="op">$</span>seger[[<span class="dv">1</span>]][,<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>]</a></code></pre></div>
<p>This shows the column number of the 5 nearest neighbours in segerstolpe to each of the cells in muraro. We could then calculate a pseudotime estimate, branch assignment, or other cell-level data by selecting the appropriate data from the colData of
the segerstolpe data set. As a demonstration we will find the cell-type of the nearest neighbour of each cell.</p>
-<div class="sourceCode" id="cb835"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb835-1" data-line-number="1">cell_type_NN <-<span class="st"> </span><span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1[muraro_to_seger<span class="op">$</span>seger[[<span class="dv">1</span>]][<span class="dv">1</span>,]]</a>
-<a class="sourceLine" id="cb835-2" data-line-number="2"><span class="kw">head</span>(cell_type_NN)</a></code></pre></div>
+<div class="sourceCode" id="cb606"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb606-1" data-line-number="1">cell_type_NN <-<span class="st"> </span><span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1[muraro_to_seger<span class="op">$</span>seger[[<span class="dv">1</span>]][<span class="dv">1</span>,]]</a>
+<a class="sourceLine" id="cb606-2" data-line-number="2"><span class="kw">head</span>(cell_type_NN)</a></code></pre></div>
</div>
<div id="metaneighbour" class="section level3">
<h3><span class="header-section-number">14.0.5</span> Metaneighbour</h3>
@@ -648,38 +654,38 @@ the segerstolpe data set. As a demonstration we will find the cell-type of the n
versions. First is a fully supervised method which assumes cell-types are known in all datasets and calculates how “good†those cell-type labels are. (The precise meaning of “good†will be described below). Alternatively, metaneighbour can estimate how similar all cell-types are to each other both within and across datasets. We will only be using the unsupervised version as it has much more general applicability and is easier to interpret the results of.</p>
<p>Metaneighbour compares cell-types across datasets by building a cell-cell spearman correlation network. The method then tries to predict the label of each cell through weighted “votes†of its nearest-neighbours. Then scores the overall similarity between two clusters as the AUROC for assigning cells of typeA to typeB based on these weighted votes. AUROC of 1 would indicate all the cells of typeA were assigned to typeB before any other cells were, and an AUROC of 0.5 is what you would get if cells were being randomly assigned.</p>
<p>Metanighbour is just a couple of R functions not a complete package so we have to load them using <code>source</code></p>
-<div class="sourceCode" id="cb836"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb836-1" data-line-number="1"><span class="kw">source</span>(<span class="st">"course_files/utils/2017-08-28-runMN-US.R"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb607"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb607-1" data-line-number="1"><span class="kw">source</span>(<span class="st">"course_files/utils/2017-08-28-runMN-US.R"</span>)</a></code></pre></div>
<div id="prepare-data" class="section level4">
<h4><span class="header-section-number">14.0.5.1</span> Prepare Data</h4>
<p>Metaneighbour requires all datasets to be combined into a single expression matrix prior to running:</p>
-<div class="sourceCode" id="cb837"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb837-1" data-line-number="1">is.common <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb837-2" data-line-number="2">muraro <-<span class="st"> </span>muraro[is.common,]</a>
-<a class="sourceLine" id="cb837-3" data-line-number="3">segerstolpe <-<span class="st"> </span>segerstolpe[<span class="kw">match</span>(<span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol, <span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol),]</a>
-<a class="sourceLine" id="cb837-4" data-line-number="4"><span class="kw">rownames</span>(segerstolpe) <-<span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb837-5" data-line-number="5"><span class="kw">rownames</span>(muraro) <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb837-6" data-line-number="6"><span class="kw">identical</span>(<span class="kw">rownames</span>(segerstolpe), <span class="kw">rownames</span>(muraro))</a>
-<a class="sourceLine" id="cb837-7" data-line-number="7"></a>
-<a class="sourceLine" id="cb837-8" data-line-number="8">combined_logcounts <-<span class="st"> </span><span class="kw">cbind</span>(<span class="kw">logcounts</span>(muraro), <span class="kw">logcounts</span>(segerstolpe))</a>
-<a class="sourceLine" id="cb837-9" data-line-number="9">dataset_labels <-<span class="st"> </span><span class="kw">rep</span>(<span class="kw">c</span>(<span class="st">"m"</span>, <span class="st">"s"</span>), <span class="dt">times=</span><span class="kw">c</span>(<span class="kw">ncol</span>(muraro), <span class="kw">ncol</span>(segerstolpe)))</a>
-<a class="sourceLine" id="cb837-10" data-line-number="10">cell_type_labels <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1)</a>
-<a class="sourceLine" id="cb837-11" data-line-number="11"></a>
-<a class="sourceLine" id="cb837-12" data-line-number="12">pheno <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">Sample_ID =</span> <span class="kw">colnames</span>(combined_logcounts),</a>
-<a class="sourceLine" id="cb837-13" data-line-number="13"> <span class="dt">Study_ID=</span>dataset_labels,</a>
-<a class="sourceLine" id="cb837-14" data-line-number="14"> <span class="dt">Celltype=</span><span class="kw">paste</span>(cell_type_labels, dataset_labels, <span class="dt">sep=</span><span class="st">"-"</span>))</a>
-<a class="sourceLine" id="cb837-15" data-line-number="15"><span class="kw">rownames</span>(pheno) <-<span class="st"> </span><span class="kw">colnames</span>(combined_logcounts)</a></code></pre></div>
+<div class="sourceCode" id="cb608"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb608-1" data-line-number="1">is.common <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb608-2" data-line-number="2">muraro <-<span class="st"> </span>muraro[is.common,]</a>
+<a class="sourceLine" id="cb608-3" data-line-number="3">segerstolpe <-<span class="st"> </span>segerstolpe[<span class="kw">match</span>(<span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol, <span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol),]</a>
+<a class="sourceLine" id="cb608-4" data-line-number="4"><span class="kw">rownames</span>(segerstolpe) <-<span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb608-5" data-line-number="5"><span class="kw">rownames</span>(muraro) <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb608-6" data-line-number="6"><span class="kw">identical</span>(<span class="kw">rownames</span>(segerstolpe), <span class="kw">rownames</span>(muraro))</a>
+<a class="sourceLine" id="cb608-7" data-line-number="7"></a>
+<a class="sourceLine" id="cb608-8" data-line-number="8">combined_logcounts <-<span class="st"> </span><span class="kw">cbind</span>(<span class="kw">logcounts</span>(muraro), <span class="kw">logcounts</span>(segerstolpe))</a>
+<a class="sourceLine" id="cb608-9" data-line-number="9">dataset_labels <-<span class="st"> </span><span class="kw">rep</span>(<span class="kw">c</span>(<span class="st">"m"</span>, <span class="st">"s"</span>), <span class="dt">times=</span><span class="kw">c</span>(<span class="kw">ncol</span>(muraro), <span class="kw">ncol</span>(segerstolpe)))</a>
+<a class="sourceLine" id="cb608-10" data-line-number="10">cell_type_labels <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1)</a>
+<a class="sourceLine" id="cb608-11" data-line-number="11"></a>
+<a class="sourceLine" id="cb608-12" data-line-number="12">pheno <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">Sample_ID =</span> <span class="kw">colnames</span>(combined_logcounts),</a>
+<a class="sourceLine" id="cb608-13" data-line-number="13"> <span class="dt">Study_ID=</span>dataset_labels,</a>
+<a class="sourceLine" id="cb608-14" data-line-number="14"> <span class="dt">Celltype=</span><span class="kw">paste</span>(cell_type_labels, dataset_labels, <span class="dt">sep=</span><span class="st">"-"</span>))</a>
+<a class="sourceLine" id="cb608-15" data-line-number="15"><span class="kw">rownames</span>(pheno) <-<span class="st"> </span><span class="kw">colnames</span>(combined_logcounts)</a></code></pre></div>
<p>Metaneighbor includes a feature selection method to identify highly variable genes.</p>
-<div class="sourceCode" id="cb838"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb838-1" data-line-number="1">var.genes =<span class="st"> </span><span class="kw">get_variable_genes</span>(combined_logcounts, pheno)</a></code></pre></div>
+<div class="sourceCode" id="cb609"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb609-1" data-line-number="1">var.genes =<span class="st"> </span><span class="kw">get_variable_genes</span>(combined_logcounts, pheno)</a></code></pre></div>
<p>Since Metaneighbor is much slower than <code>scmap</code>, we will down sample these datasets.</p>
-<div class="sourceCode" id="cb839"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb839-1" data-line-number="1">subset <-<span class="st"> </span><span class="kw">sample</span>(<span class="dv">1</span><span class="op">:</span><span class="kw">nrow</span>(pheno), <span class="dv">2000</span>)</a>
-<a class="sourceLine" id="cb839-2" data-line-number="2">combined_logcounts <-<span class="st"> </span>combined_logcounts[,subset]</a>
-<a class="sourceLine" id="cb839-3" data-line-number="3">pheno <-<span class="st"> </span>pheno[subset,]</a>
-<a class="sourceLine" id="cb839-4" data-line-number="4">cell_type_labels <-<span class="st"> </span>cell_type_labels[subset]</a>
-<a class="sourceLine" id="cb839-5" data-line-number="5">dataset_labels <-<span class="st"> </span>dataset_labels[subset]</a></code></pre></div>
+<div class="sourceCode" id="cb610"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb610-1" data-line-number="1">subset <-<span class="st"> </span><span class="kw">sample</span>(<span class="dv">1</span><span class="op">:</span><span class="kw">nrow</span>(pheno), <span class="dv">2000</span>)</a>
+<a class="sourceLine" id="cb610-2" data-line-number="2">combined_logcounts <-<span class="st"> </span>combined_logcounts[,subset]</a>
+<a class="sourceLine" id="cb610-3" data-line-number="3">pheno <-<span class="st"> </span>pheno[subset,]</a>
+<a class="sourceLine" id="cb610-4" data-line-number="4">cell_type_labels <-<span class="st"> </span>cell_type_labels[subset]</a>
+<a class="sourceLine" id="cb610-5" data-line-number="5">dataset_labels <-<span class="st"> </span>dataset_labels[subset]</a></code></pre></div>
<p>Now we are ready to run Metaneighbor. First we will run the unsupervised
version that will let us see which cell-types are most similar across the
two datasets.</p>
-<div class="sourceCode" id="cb840"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb840-1" data-line-number="1">unsup <-<span class="st"> </span><span class="kw">run_MetaNeighbor_US</span>(var.genes, combined_logcounts, <span class="kw">unique</span>(pheno<span class="op">$</span>Celltype), pheno)</a>
-<a class="sourceLine" id="cb840-2" data-line-number="2"><span class="kw">heatmap</span>(unsup)</a></code></pre></div>
+<div class="sourceCode" id="cb611"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb611-1" data-line-number="1">unsup <-<span class="st"> </span><span class="kw">run_MetaNeighbor_US</span>(var.genes, combined_logcounts, <span class="kw">unique</span>(pheno<span class="op">$</span>Celltype), pheno)</a>
+<a class="sourceLine" id="cb611-2" data-line-number="2"><span class="kw">heatmap</span>(unsup)</a></code></pre></div>
</div>
</div>
<div id="mnncorrect-1" class="section level3">
@@ -688,18 +694,18 @@ two datasets.</p>
<p>To match individual cells to each other across datasets, mnnCorrect uses the cosine distance to avoid library-size effect then identifies mututal nearest neighbours (<code>k</code> determines to neighbourhood size) across datasets. Only overlaping biological groups should have mutual nearest neighbours (see panel b below). However, this assumes that k is set to approximately the size of the smallest biological group in the datasets, but a k that is too low will identify too few mutual nearest-neighbour pairs to get a good estimate of the batch effect we want to remove.</p>
<p>Learning the biological/techncial effects is done with either singular value decomposition, similar to RUV we encounters in the batch-correction section, or with principal component analysis with the opitimized irlba package, which should be faster than SVD. The parameter <code>svd.dim</code> specifies how many dimensions should be kept to summarize the biological structure of the data, we will set it to three as we found three major groups using Metaneighbor above. These estimates may be futher adjusted by smoothing (<code>sigma</code>) and/or variance adjustment (<code>var.adj</code>).</p>
<p>mnnCorrect also assumes you’ve already subset your expression matricies so that they contain identical genes in the same order, fortunately we have already done with for our datasets when we set up our data for Metaneighbor.</p>
-<div class="sourceCode" id="cb841"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb841-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"batchelor"</span>)</a>
-<a class="sourceLine" id="cb841-2" data-line-number="2"><span class="co"># mnnCorrect will take several minutes to run</span></a>
-<a class="sourceLine" id="cb841-3" data-line-number="3">corrected <-<span class="st"> </span><span class="kw">mnnCorrect</span>(<span class="kw">logcounts</span>(muraro), <span class="kw">logcounts</span>(segerstolpe), <span class="dt">k=</span><span class="dv">20</span>, <span class="dt">sigma=</span><span class="dv">1</span>, <span class="dt">pc.approx=</span><span class="ot">TRUE</span>, <span class="dt">subset.row=</span>var.genes, <span class="dt">svd.dim=</span><span class="dv">3</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb612"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb612-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"batchelor"</span>)</a>
+<a class="sourceLine" id="cb612-2" data-line-number="2"><span class="co"># mnnCorrect will take several minutes to run</span></a>
+<a class="sourceLine" id="cb612-3" data-line-number="3">corrected <-<span class="st"> </span><span class="kw">mnnCorrect</span>(<span class="kw">logcounts</span>(muraro), <span class="kw">logcounts</span>(segerstolpe), <span class="dt">k=</span><span class="dv">20</span>, <span class="dt">sigma=</span><span class="dv">1</span>, <span class="dt">pc.approx=</span><span class="ot">TRUE</span>, <span class="dt">subset.row=</span>var.genes, <span class="dt">svd.dim=</span><span class="dv">3</span>)</a></code></pre></div>
<p>First let’s check that we found a sufficient number of mnn pairs, mnnCorrect returns a list of dataframe with the mnn pairs for each dataset.</p>
-<div class="sourceCode" id="cb842"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb842-1" data-line-number="1"><span class="kw">dim</span>(corrected<span class="op">$</span>pairs[[<span class="dv">1</span>]]) <span class="co"># muraro -> others</span></a>
-<a class="sourceLine" id="cb842-2" data-line-number="2"><span class="kw">dim</span>(corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]]) <span class="co"># seger -> others</span></a></code></pre></div>
+<div class="sourceCode" id="cb613"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb613-1" data-line-number="1"><span class="kw">dim</span>(corrected<span class="op">$</span>pairs[[<span class="dv">1</span>]]) <span class="co"># muraro -> others</span></a>
+<a class="sourceLine" id="cb613-2" data-line-number="2"><span class="kw">dim</span>(corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]]) <span class="co"># seger -> others</span></a></code></pre></div>
<p>The first and second columns contain the cell column IDs and the third column contains a number indicating which dataset/batch the column 2 cell belongs to. In our case,
we are only comparing two datasets so all the mnn pairs have been assigned to the second table and the third column contains only ones</p>
-<div class="sourceCode" id="cb843"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb843-1" data-line-number="1"><span class="kw">head</span>(corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]])</a>
-<a class="sourceLine" id="cb843-2" data-line-number="2">total_pairs <-<span class="st"> </span><span class="kw">nrow</span>(corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]])</a>
-<a class="sourceLine" id="cb843-3" data-line-number="3">n_unique_seger <-<span class="st"> </span><span class="kw">length</span>(<span class="kw">unique</span>((corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]][,<span class="dv">1</span>])))</a>
-<a class="sourceLine" id="cb843-4" data-line-number="4">n_unique_muraro <-<span class="st"> </span><span class="kw">length</span>(<span class="kw">unique</span>((corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]][,<span class="dv">2</span>])))</a></code></pre></div>
+<div class="sourceCode" id="cb614"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb614-1" data-line-number="1"><span class="kw">head</span>(corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]])</a>
+<a class="sourceLine" id="cb614-2" data-line-number="2">total_pairs <-<span class="st"> </span><span class="kw">nrow</span>(corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]])</a>
+<a class="sourceLine" id="cb614-3" data-line-number="3">n_unique_seger <-<span class="st"> </span><span class="kw">length</span>(<span class="kw">unique</span>((corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]][,<span class="dv">1</span>])))</a>
+<a class="sourceLine" id="cb614-4" data-line-number="4">n_unique_muraro <-<span class="st"> </span><span class="kw">length</span>(<span class="kw">unique</span>((corrected<span class="op">$</span>pairs[[<span class="dv">2</span>]][,<span class="dv">2</span>])))</a></code></pre></div>
<p>mnnCorrect found “r total_pairs†sets of mutual nearest-neighbours between
<code>n_unique_seger</code> segerstolpe cells and <code>n_unique_muraro</code> muraro cells. This
should be a sufficient number of pairs but the low number of unique cells in
@@ -709,15 +715,15 @@ each dataset.</p>
Which cell-types had mnns across these datasets? Should we increase/decrease k?</p>
<p><strong>Answer</strong></p>
<p>Now we could create a combined dataset to jointly analyse these data. However, the corrected data is no longer counts and usually will contain negative expression values thus some analysis tools may no longer be appropriate. For simplicity let’s just plot a joint TSNE.</p>
-<div class="sourceCode" id="cb844"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb844-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"Rtsne"</span>)</a>
-<a class="sourceLine" id="cb844-2" data-line-number="2">joint_expression_matrix <-<span class="st"> </span><span class="kw">cbind</span>(corrected<span class="op">$</span>corrected[[<span class="dv">1</span>]], corrected<span class="op">$</span>corrected[[<span class="dv">2</span>]])</a>
-<a class="sourceLine" id="cb844-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb844-4" data-line-number="4"><span class="co"># Tsne will take some time to run on the full dataset</span></a>
-<a class="sourceLine" id="cb844-5" data-line-number="5">joint_tsne <-<span class="st"> </span><span class="kw">Rtsne</span>(<span class="kw">t</span>(joint_expression_matrix[<span class="kw">rownames</span>(joint_expression_matrix) <span class="op">%in%</span><span class="st"> </span>var.genes,]), <span class="dt">initial_dims=</span><span class="dv">10</span>, <span class="dt">theta=</span><span class="fl">0.75</span>,</a>
-<a class="sourceLine" id="cb844-6" data-line-number="6"> <span class="dt">check_duplicates=</span><span class="ot">FALSE</span>, <span class="dt">max_iter=</span><span class="dv">200</span>, <span class="dt">stop_lying_iter=</span><span class="dv">50</span>, <span class="dt">mom_switch_iter=</span><span class="dv">50</span>)</a>
-<a class="sourceLine" id="cb844-7" data-line-number="7">dataset_labels <-<span class="st"> </span><span class="kw">factor</span>(<span class="kw">rep</span>(<span class="kw">c</span>(<span class="st">"m"</span>, <span class="st">"s"</span>), <span class="dt">times=</span><span class="kw">c</span>(<span class="kw">ncol</span>(muraro), <span class="kw">ncol</span>(segerstolpe))))</a>
-<a class="sourceLine" id="cb844-8" data-line-number="8">cell_type_labels <-<span class="st"> </span><span class="kw">factor</span>(<span class="kw">c</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1))</a>
-<a class="sourceLine" id="cb844-9" data-line-number="9"><span class="kw">plot</span>(joint_tsne<span class="op">$</span>Y[,<span class="dv">1</span>], joint_tsne<span class="op">$</span>Y[,<span class="dv">2</span>], <span class="dt">pch=</span><span class="kw">c</span>(<span class="dv">16</span>,<span class="dv">1</span>)[dataset_labels], <span class="dt">col=</span><span class="kw">rainbow</span>(<span class="kw">length</span>(<span class="kw">levels</span>(cell_type_labels)))[cell_type_labels])</a></code></pre></div>
+<div class="sourceCode" id="cb615"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb615-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"Rtsne"</span>)</a>
+<a class="sourceLine" id="cb615-2" data-line-number="2">joint_expression_matrix <-<span class="st"> </span><span class="kw">cbind</span>(corrected<span class="op">$</span>corrected[[<span class="dv">1</span>]], corrected<span class="op">$</span>corrected[[<span class="dv">2</span>]])</a>
+<a class="sourceLine" id="cb615-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb615-4" data-line-number="4"><span class="co"># Tsne will take some time to run on the full dataset</span></a>
+<a class="sourceLine" id="cb615-5" data-line-number="5">joint_tsne <-<span class="st"> </span><span class="kw">Rtsne</span>(<span class="kw">t</span>(joint_expression_matrix[<span class="kw">rownames</span>(joint_expression_matrix) <span class="op">%in%</span><span class="st"> </span>var.genes,]), <span class="dt">initial_dims=</span><span class="dv">10</span>, <span class="dt">theta=</span><span class="fl">0.75</span>,</a>
+<a class="sourceLine" id="cb615-6" data-line-number="6"> <span class="dt">check_duplicates=</span><span class="ot">FALSE</span>, <span class="dt">max_iter=</span><span class="dv">200</span>, <span class="dt">stop_lying_iter=</span><span class="dv">50</span>, <span class="dt">mom_switch_iter=</span><span class="dv">50</span>)</a>
+<a class="sourceLine" id="cb615-7" data-line-number="7">dataset_labels <-<span class="st"> </span><span class="kw">factor</span>(<span class="kw">rep</span>(<span class="kw">c</span>(<span class="st">"m"</span>, <span class="st">"s"</span>), <span class="dt">times=</span><span class="kw">c</span>(<span class="kw">ncol</span>(muraro), <span class="kw">ncol</span>(segerstolpe))))</a>
+<a class="sourceLine" id="cb615-8" data-line-number="8">cell_type_labels <-<span class="st"> </span><span class="kw">factor</span>(<span class="kw">c</span>(<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1))</a>
+<a class="sourceLine" id="cb615-9" data-line-number="9"><span class="kw">plot</span>(joint_tsne<span class="op">$</span>Y[,<span class="dv">1</span>], joint_tsne<span class="op">$</span>Y[,<span class="dv">2</span>], <span class="dt">pch=</span><span class="kw">c</span>(<span class="dv">16</span>,<span class="dv">1</span>)[dataset_labels], <span class="dt">col=</span><span class="kw">rainbow</span>(<span class="kw">length</span>(<span class="kw">levels</span>(cell_type_labels)))[cell_type_labels])</a></code></pre></div>
</div>
<div id="cannonical-correlation-analysis-seurat" class="section level3">
<h3><span class="header-section-number">14.0.7</span> Cannonical Correlation Analysis (Seurat)</h3>
@@ -725,58 +731,58 @@ Which cell-types had mnns across these datasets? Should we increase/decrease k?<
<p>Seurat uses gene-gene correlations to identify the biological structure in the dataset with a method called canonical correlation analysis (CCA). Seurat learns the shared structure to the gene-gene correlations and then evaluates how well each cell fits this structure. Cells which must better described by a data-specific dimensionality reduction method than by the shared correlation structure are assumed to represent dataset-specific cell-types/states and are discarded before aligning the two datasets. Finally the two datasets are aligned using ‘warping’ algorithms which normalize the low-dimensional representations of each dataset in a way that is robust to differences in population density.</p>
<p>Note because Seurat uses up a lot of library space you will have to restart your R-session to load it, and the plots/output won’t be automatically generated on this page.</p>
<p>Reload the data:</p>
-<div class="sourceCode" id="cb845"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb845-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
-<a class="sourceLine" id="cb845-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>)</a>
-<a class="sourceLine" id="cb845-3" data-line-number="3">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclassified"</span>]</a>
-<a class="sourceLine" id="cb845-4" data-line-number="4">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "not applicable"</span>,]</a>
-<a class="sourceLine" id="cb845-5" data-line-number="5">muraro <-<span class="st"> </span>muraro[,<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclear"</span>]</a>
-<a class="sourceLine" id="cb845-6" data-line-number="6">is.common <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb845-7" data-line-number="7">muraro <-<span class="st"> </span>muraro[is.common,]</a>
-<a class="sourceLine" id="cb845-8" data-line-number="8">segerstolpe <-<span class="st"> </span>segerstolpe[<span class="kw">match</span>(<span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol, <span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol),]</a>
-<a class="sourceLine" id="cb845-9" data-line-number="9"><span class="kw">rownames</span>(segerstolpe) <-<span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb845-10" data-line-number="10"><span class="kw">rownames</span>(muraro) <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb845-11" data-line-number="11"><span class="kw">identical</span>(<span class="kw">rownames</span>(segerstolpe), <span class="kw">rownames</span>(muraro))</a></code></pre></div>
+<div class="sourceCode" id="cb616"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb616-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
+<a class="sourceLine" id="cb616-2" data-line-number="2">segerstolpe <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/segerstolpe.rds"</span>)</a>
+<a class="sourceLine" id="cb616-3" data-line-number="3">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclassified"</span>]</a>
+<a class="sourceLine" id="cb616-4" data-line-number="4">segerstolpe <-<span class="st"> </span>segerstolpe[,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "not applicable"</span>,]</a>
+<a class="sourceLine" id="cb616-5" data-line-number="5">muraro <-<span class="st"> </span>muraro[,<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1 <span class="op">!=</span><span class="st"> "unclear"</span>]</a>
+<a class="sourceLine" id="cb616-6" data-line-number="6">is.common <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol <span class="op">%in%</span><span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb616-7" data-line-number="7">muraro <-<span class="st"> </span>muraro[is.common,]</a>
+<a class="sourceLine" id="cb616-8" data-line-number="8">segerstolpe <-<span class="st"> </span>segerstolpe[<span class="kw">match</span>(<span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol, <span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol),]</a>
+<a class="sourceLine" id="cb616-9" data-line-number="9"><span class="kw">rownames</span>(segerstolpe) <-<span class="st"> </span><span class="kw">rowData</span>(segerstolpe)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb616-10" data-line-number="10"><span class="kw">rownames</span>(muraro) <-<span class="st"> </span><span class="kw">rowData</span>(muraro)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb616-11" data-line-number="11"><span class="kw">identical</span>(<span class="kw">rownames</span>(segerstolpe), <span class="kw">rownames</span>(muraro))</a></code></pre></div>
<p>First we will reformat our data into Seurat objects:</p>
-<div class="sourceCode" id="cb846"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb846-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"Seurat"</span>)</a>
-<a class="sourceLine" id="cb846-2" data-line-number="2"><span class="kw">set.seed</span>(<span class="dv">4719364</span>)</a>
-<a class="sourceLine" id="cb846-3" data-line-number="3">muraro_seurat <-<span class="st"> </span><span class="kw">CreateSeuratObject</span>(<span class="dt">raw.data=</span><span class="kw">assays</span>(muraro)[[<span class="st">"normcounts"</span>]]) <span class="co"># raw counts aren't available for muraro</span></a>
-<a class="sourceLine" id="cb846-4" data-line-number="4">muraro_seurat<span class="op">@</span>meta.data[, <span class="st">"dataset"</span>] <-<span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb846-5" data-line-number="5">muraro_seurat<span class="op">@</span>meta.data[, <span class="st">"celltype"</span>] <-<span class="st"> </span><span class="kw">paste</span>(<span class="st">"m"</span>,<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="dt">sep=</span><span class="st">"-"</span>)</a>
-<a class="sourceLine" id="cb846-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb846-7" data-line-number="7">seger_seurat <-<span class="st"> </span><span class="kw">CreateSeuratObject</span>(<span class="dt">raw.data=</span><span class="kw">assays</span>(segerstolpe)[[<span class="st">"counts"</span>]])</a>
-<a class="sourceLine" id="cb846-8" data-line-number="8">seger_seurat<span class="op">@</span>meta.data[, <span class="st">"dataset"</span>] <-<span class="st"> </span><span class="dv">2</span></a>
-<a class="sourceLine" id="cb846-9" data-line-number="9">seger_seurat<span class="op">@</span>meta.data[, <span class="st">"celltype"</span>] <-<span class="st"> </span><span class="kw">paste</span>(<span class="st">"s"</span>,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1, <span class="dt">sep=</span><span class="st">"-"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb617"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb617-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"Seurat"</span>)</a>
+<a class="sourceLine" id="cb617-2" data-line-number="2"><span class="kw">set.seed</span>(<span class="dv">4719364</span>)</a>
+<a class="sourceLine" id="cb617-3" data-line-number="3">muraro_seurat <-<span class="st"> </span><span class="kw">CreateSeuratObject</span>(<span class="dt">raw.data=</span><span class="kw">assays</span>(muraro)[[<span class="st">"normcounts"</span>]]) <span class="co"># raw counts aren't available for muraro</span></a>
+<a class="sourceLine" id="cb617-4" data-line-number="4">muraro_seurat<span class="op">@</span>meta.data[, <span class="st">"dataset"</span>] <-<span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb617-5" data-line-number="5">muraro_seurat<span class="op">@</span>meta.data[, <span class="st">"celltype"</span>] <-<span class="st"> </span><span class="kw">paste</span>(<span class="st">"m"</span>,<span class="kw">colData</span>(muraro)<span class="op">$</span>cell_type1, <span class="dt">sep=</span><span class="st">"-"</span>)</a>
+<a class="sourceLine" id="cb617-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb617-7" data-line-number="7">seger_seurat <-<span class="st"> </span><span class="kw">CreateSeuratObject</span>(<span class="dt">raw.data=</span><span class="kw">assays</span>(segerstolpe)[[<span class="st">"counts"</span>]])</a>
+<a class="sourceLine" id="cb617-8" data-line-number="8">seger_seurat<span class="op">@</span>meta.data[, <span class="st">"dataset"</span>] <-<span class="st"> </span><span class="dv">2</span></a>
+<a class="sourceLine" id="cb617-9" data-line-number="9">seger_seurat<span class="op">@</span>meta.data[, <span class="st">"celltype"</span>] <-<span class="st"> </span><span class="kw">paste</span>(<span class="st">"s"</span>,<span class="kw">colData</span>(segerstolpe)<span class="op">$</span>cell_type1, <span class="dt">sep=</span><span class="st">"-"</span>)</a></code></pre></div>
<p>Next we must normalize, scale and identify highly variable genes for each dataset:</p>
-<div class="sourceCode" id="cb847"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb847-1" data-line-number="1">muraro_seurat <-<span class="st"> </span><span class="kw">NormalizeData</span>(<span class="dt">object=</span>muraro_seurat)</a>
-<a class="sourceLine" id="cb847-2" data-line-number="2">muraro_seurat <-<span class="st"> </span><span class="kw">ScaleData</span>(<span class="dt">object=</span>muraro_seurat)</a>
-<a class="sourceLine" id="cb847-3" data-line-number="3">muraro_seurat <-<span class="st"> </span><span class="kw">FindVariableGenes</span>(<span class="dt">object=</span>muraro_seurat, <span class="dt">do.plot=</span><span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb847-4" data-line-number="4"></a>
-<a class="sourceLine" id="cb847-5" data-line-number="5">seger_seurat <-<span class="st"> </span><span class="kw">NormalizeData</span>(<span class="dt">object=</span>seger_seurat)</a>
-<a class="sourceLine" id="cb847-6" data-line-number="6">seger_seurat <-<span class="st"> </span><span class="kw">ScaleData</span>(<span class="dt">object=</span>seger_seurat)</a>
-<a class="sourceLine" id="cb847-7" data-line-number="7">seger_seurat <-<span class="st"> </span><span class="kw">FindVariableGenes</span>(<span class="dt">object=</span>seger_seurat, <span class="dt">do.plot=</span><span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb618"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb618-1" data-line-number="1">muraro_seurat <-<span class="st"> </span><span class="kw">NormalizeData</span>(<span class="dt">object=</span>muraro_seurat)</a>
+<a class="sourceLine" id="cb618-2" data-line-number="2">muraro_seurat <-<span class="st"> </span><span class="kw">ScaleData</span>(<span class="dt">object=</span>muraro_seurat)</a>
+<a class="sourceLine" id="cb618-3" data-line-number="3">muraro_seurat <-<span class="st"> </span><span class="kw">FindVariableGenes</span>(<span class="dt">object=</span>muraro_seurat, <span class="dt">do.plot=</span><span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb618-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb618-5" data-line-number="5">seger_seurat <-<span class="st"> </span><span class="kw">NormalizeData</span>(<span class="dt">object=</span>seger_seurat)</a>
+<a class="sourceLine" id="cb618-6" data-line-number="6">seger_seurat <-<span class="st"> </span><span class="kw">ScaleData</span>(<span class="dt">object=</span>seger_seurat)</a>
+<a class="sourceLine" id="cb618-7" data-line-number="7">seger_seurat <-<span class="st"> </span><span class="kw">FindVariableGenes</span>(<span class="dt">object=</span>seger_seurat, <span class="dt">do.plot=</span><span class="ot">TRUE</span>)</a></code></pre></div>
<p>Eventhough Seurat corrects for the relationship between dispersion and mean expression, it doesn’t use the corrected value when ranking features. Compare the results of the command below with the results in the plots above:</p>
-<div class="sourceCode" id="cb848"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb848-1" data-line-number="1"><span class="kw">head</span>(muraro_seurat<span class="op">@</span>hvg.info, <span class="dv">50</span>)</a>
-<a class="sourceLine" id="cb848-2" data-line-number="2"><span class="kw">head</span>(seger_seurat<span class="op">@</span>hvg.info, <span class="dv">50</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb619"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb619-1" data-line-number="1"><span class="kw">head</span>(muraro_seurat<span class="op">@</span>hvg.info, <span class="dv">50</span>)</a>
+<a class="sourceLine" id="cb619-2" data-line-number="2"><span class="kw">head</span>(seger_seurat<span class="op">@</span>hvg.info, <span class="dv">50</span>)</a></code></pre></div>
<p>But we will follow their example and use the top 2000 most dispersed genes withmerged_seurat correcting for mean expression from each dataset anyway.</p>
-<div class="sourceCode" id="cb849"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb849-1" data-line-number="1">gene.use <-<span class="st"> </span><span class="kw">union</span>(<span class="kw">rownames</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> muraro_seurat<span class="op">@</span>hvg.info, <span class="dt">n =</span> <span class="dv">2000</span>)),</a>
-<a class="sourceLine" id="cb849-2" data-line-number="2"> <span class="kw">rownames</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> seger_seurat<span class="op">@</span>hvg.info, <span class="dt">n =</span> <span class="dv">2000</span>)))</a></code></pre></div>
+<div class="sourceCode" id="cb620"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb620-1" data-line-number="1">gene.use <-<span class="st"> </span><span class="kw">union</span>(<span class="kw">rownames</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> muraro_seurat<span class="op">@</span>hvg.info, <span class="dt">n =</span> <span class="dv">2000</span>)),</a>
+<a class="sourceLine" id="cb620-2" data-line-number="2"> <span class="kw">rownames</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> seger_seurat<span class="op">@</span>hvg.info, <span class="dt">n =</span> <span class="dv">2000</span>)))</a></code></pre></div>
<p><strong>Exercise</strong>
Find the features we would use if we selected the top 2000 most dispersed after scaling by mean. (Hint: consider the <code>order</code> function)</p>
<p><strong>Answer</strong></p>
<p>Now we will run CCA to find the shared correlation structure for these two datasets:</p>
<p>Note to speed up the calculations we will be using only the top 5 dimensions but ideally you would consider many more and then select the top most informative ones using <code>DimHeatmap</code>.</p>
-<div class="sourceCode" id="cb850"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb850-1" data-line-number="1">merged_seurat <-<span class="st"> </span><span class="kw">RunCCA</span>(<span class="dt">object=</span>muraro_seurat, <span class="dt">object2=</span>seger_seurat, <span class="dt">genes.use=</span>gene.use, <span class="dt">add.cell.id1=</span><span class="st">"m"</span>, <span class="dt">add.cell.id2=</span><span class="st">"s"</span>, <span class="dt">num.cc =</span> <span class="dv">5</span>)</a>
-<a class="sourceLine" id="cb850-2" data-line-number="2"><span class="kw">DimPlot</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.use =</span> <span class="st">"cca"</span>, <span class="dt">group.by =</span> <span class="st">"dataset"</span>, <span class="dt">pt.size =</span> <span class="fl">0.5</span>) <span class="co"># Before correcting</span></a></code></pre></div>
+<div class="sourceCode" id="cb621"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb621-1" data-line-number="1">merged_seurat <-<span class="st"> </span><span class="kw">RunCCA</span>(<span class="dt">object=</span>muraro_seurat, <span class="dt">object2=</span>seger_seurat, <span class="dt">genes.use=</span>gene.use, <span class="dt">add.cell.id1=</span><span class="st">"m"</span>, <span class="dt">add.cell.id2=</span><span class="st">"s"</span>, <span class="dt">num.cc =</span> <span class="dv">5</span>)</a>
+<a class="sourceLine" id="cb621-2" data-line-number="2"><span class="kw">DimPlot</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.use =</span> <span class="st">"cca"</span>, <span class="dt">group.by =</span> <span class="st">"dataset"</span>, <span class="dt">pt.size =</span> <span class="fl">0.5</span>) <span class="co"># Before correcting</span></a></code></pre></div>
<p>To identify dataset specific cell-types we compare how well cells are ‘explained’ by CCA vs dataset-specific principal component analysis.</p>
-<div class="sourceCode" id="cb851"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb851-1" data-line-number="1">merged_seurat <-<span class="st"> </span><span class="kw">CalcVarExpRatio</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.type =</span> <span class="st">"pca"</span>, <span class="dt">grouping.var =</span> <span class="st">"dataset"</span>, <span class="dt">dims.use =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>)</a>
-<a class="sourceLine" id="cb851-2" data-line-number="2">merged.all <-<span class="st"> </span>merged_seurat</a>
-<a class="sourceLine" id="cb851-3" data-line-number="3">merged_seurat <-<span class="st"> </span><span class="kw">SubsetData</span>(<span class="dt">object=</span>merged_seurat, <span class="dt">subset.name=</span><span class="st">"var.ratio.pca"</span>, <span class="dt">accept.low =</span> <span class="fl">0.5</span>) <span class="co"># CCA > 1/2 as good as PCA</span></a>
-<a class="sourceLine" id="cb851-4" data-line-number="4">merged.discard <-<span class="st"> </span><span class="kw">SubsetData</span>(<span class="dt">object=</span>merged.all, <span class="dt">subset.name=</span><span class="st">"var.ratio.pca"</span>, <span class="dt">accept.high =</span> <span class="fl">0.5</span>)</a>
-<a class="sourceLine" id="cb851-5" data-line-number="5"></a>
-<a class="sourceLine" id="cb851-6" data-line-number="6"><span class="kw">summary</span>(<span class="kw">factor</span>(merged.discard<span class="op">@</span>meta.data<span class="op">$</span>celltype)) <span class="co"># check the cell-type of the discarded cells.</span></a></code></pre></div>
+<div class="sourceCode" id="cb622"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb622-1" data-line-number="1">merged_seurat <-<span class="st"> </span><span class="kw">CalcVarExpRatio</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.type =</span> <span class="st">"pca"</span>, <span class="dt">grouping.var =</span> <span class="st">"dataset"</span>, <span class="dt">dims.use =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>)</a>
+<a class="sourceLine" id="cb622-2" data-line-number="2">merged.all <-<span class="st"> </span>merged_seurat</a>
+<a class="sourceLine" id="cb622-3" data-line-number="3">merged_seurat <-<span class="st"> </span><span class="kw">SubsetData</span>(<span class="dt">object=</span>merged_seurat, <span class="dt">subset.name=</span><span class="st">"var.ratio.pca"</span>, <span class="dt">accept.low =</span> <span class="fl">0.5</span>) <span class="co"># CCA > 1/2 as good as PCA</span></a>
+<a class="sourceLine" id="cb622-4" data-line-number="4">merged.discard <-<span class="st"> </span><span class="kw">SubsetData</span>(<span class="dt">object=</span>merged.all, <span class="dt">subset.name=</span><span class="st">"var.ratio.pca"</span>, <span class="dt">accept.high =</span> <span class="fl">0.5</span>)</a>
+<a class="sourceLine" id="cb622-5" data-line-number="5"></a>
+<a class="sourceLine" id="cb622-6" data-line-number="6"><span class="kw">summary</span>(<span class="kw">factor</span>(merged.discard<span class="op">@</span>meta.data<span class="op">$</span>celltype)) <span class="co"># check the cell-type of the discarded cells.</span></a></code></pre></div>
<p>Here we can see that despite both datasets containing endothelial cells, almost all of them have been discarded as “dataset-specificâ€. Now we can align the datasets:</p>
-<div class="sourceCode" id="cb852"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb852-1" data-line-number="1">merged_seurat <-<span class="st"> </span><span class="kw">AlignSubspace</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.type =</span> <span class="st">"cca"</span>, <span class="dt">grouping.var =</span> <span class="st">"dataset"</span>, <span class="dt">dims.align =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>)</a>
-<a class="sourceLine" id="cb852-2" data-line-number="2"><span class="kw">DimPlot</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.use =</span> <span class="st">"cca.aligned"</span>, <span class="dt">group.by =</span> <span class="st">"dataset"</span>, <span class="dt">pt.size =</span> <span class="fl">0.5</span>) <span class="co"># After aligning subspaces</span></a></code></pre></div>
+<div class="sourceCode" id="cb623"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb623-1" data-line-number="1">merged_seurat <-<span class="st"> </span><span class="kw">AlignSubspace</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.type =</span> <span class="st">"cca"</span>, <span class="dt">grouping.var =</span> <span class="st">"dataset"</span>, <span class="dt">dims.align =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>)</a>
+<a class="sourceLine" id="cb623-2" data-line-number="2"><span class="kw">DimPlot</span>(<span class="dt">object =</span> merged_seurat, <span class="dt">reduction.use =</span> <span class="st">"cca.aligned"</span>, <span class="dt">group.by =</span> <span class="st">"dataset"</span>, <span class="dt">pt.size =</span> <span class="fl">0.5</span>) <span class="co"># After aligning subspaces</span></a></code></pre></div>
<p><strong>Exercise</strong>
Compare the results for if you use the features after scaling dispersions.</p>
<p><strong>Answer</strong></p>
@@ -789,10 +795,10 @@ Use the clustering methods we previously covered on the combined datasets. Do yo
</div>
<div id="search-scrna-seq-data" class="section level2">
<h2><span class="header-section-number">14.1</span> Search scRNA-Seq data</h2>
-<div class="sourceCode" id="cb853"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb853-1" data-line-number="1"><span class="kw">library</span>(scfind)</a>
-<a class="sourceLine" id="cb853-2" data-line-number="2"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb853-3" data-line-number="3"><span class="kw">library</span>(plotly)</a>
-<a class="sourceLine" id="cb853-4" data-line-number="4"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb624"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb624-1" data-line-number="1"><span class="kw">library</span>(scfind)</a>
+<a class="sourceLine" id="cb624-2" data-line-number="2"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb624-3" data-line-number="3"><span class="kw">library</span>(plotly)</a>
+<a class="sourceLine" id="cb624-4" data-line-number="4"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
<div id="about" class="section level3">
<h3><span class="header-section-number">14.1.1</span> About</h3>
<p><code>scfind</code> is a tool that allows one to search single cell RNA-Seq collections
@@ -806,17 +812,17 @@ package</a>. Cloud implementation of
<h3><span class="header-section-number">14.1.2</span> Dataset</h3>
<p>We will run <code>scfind</code> on the Tabula Muris 10X dataset. <code>scfind</code> also operates on
<code>SingleCellExperiment</code> class:</p>
-<div class="sourceCode" id="cb854"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb854-1" data-line-number="1">tm10x_heart <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/sce/Heart_10X.rds"</span>)</a>
-<a class="sourceLine" id="cb854-2" data-line-number="2">tm10x_heart</a>
-<a class="sourceLine" id="cb854-3" data-line-number="3"><span class="kw">colData</span>(tm10x_heart)</a></code></pre></div>
+<div class="sourceCode" id="cb625"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb625-1" data-line-number="1">tm10x_heart <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/sce/Heart_10X.rds"</span>)</a>
+<a class="sourceLine" id="cb625-2" data-line-number="2">tm10x_heart</a>
+<a class="sourceLine" id="cb625-3" data-line-number="3"><span class="kw">colData</span>(tm10x_heart)</a></code></pre></div>
</div>
<div id="gene-index" class="section level3">
<h3><span class="header-section-number">14.1.3</span> Gene Index</h3>
<p>Now we need to create a gene index using our dataset:</p>
-<div class="sourceCode" id="cb855"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb855-1" data-line-number="1">heart_index <-<span class="st"> </span><span class="kw">buildCellTypeIndex</span>(</a>
-<a class="sourceLine" id="cb855-2" data-line-number="2"> tm10x_heart,</a>
-<a class="sourceLine" id="cb855-3" data-line-number="3"> <span class="dt">cell_type_column =</span> <span class="st">"cell_type1"</span></a>
-<a class="sourceLine" id="cb855-4" data-line-number="4">)</a></code></pre></div>
+<div class="sourceCode" id="cb626"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb626-1" data-line-number="1">heart_index <-<span class="st"> </span><span class="kw">buildCellTypeIndex</span>(</a>
+<a class="sourceLine" id="cb626-2" data-line-number="2"> tm10x_heart,</a>
+<a class="sourceLine" id="cb626-3" data-line-number="3"> <span class="dt">cell_type_column =</span> <span class="st">"cell_type1"</span></a>
+<a class="sourceLine" id="cb626-4" data-line-number="4">)</a></code></pre></div>
<p><code>scfind</code> adopts a two-step compression strategy which allows efficient
compression of large cell-by-gene matrix and allows fast retrieval of data by
gene query. We estimated that one can achieve 2 orders of magnitude compression
@@ -830,44 +836,44 @@ can also merge all tissues together to create a super index using the function
<code>mergeDataset</code>.</p>
<p>The index can be saved in .rds format using <code>saveObject</code> function and loaded
using <code>loadObject</code> function for future use.</p>
-<div class="sourceCode" id="cb856"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb856-1" data-line-number="1">tm10x_thymus <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/sce/Thymus_10X.rds"</span>)</a>
-<a class="sourceLine" id="cb856-2" data-line-number="2">thymus_index <-<span class="st"> </span><span class="kw">buildCellTypeIndex</span>(</a>
-<a class="sourceLine" id="cb856-3" data-line-number="3"> tm10x_thymus, </a>
-<a class="sourceLine" id="cb856-4" data-line-number="4"> <span class="dt">cell_type_column =</span> <span class="st">"cell_type1"</span></a>
-<a class="sourceLine" id="cb856-5" data-line-number="5">)</a>
-<a class="sourceLine" id="cb856-6" data-line-number="6"><span class="co">## scfind_index <- mergeDataset(heart_index, thymus_index)</span></a>
-<a class="sourceLine" id="cb856-7" data-line-number="7"><span class="co">## scfind_index@datasets</span></a>
-<a class="sourceLine" id="cb856-8" data-line-number="8"><span class="co">## cellTypeNames(scfind_index)</span></a>
-<a class="sourceLine" id="cb856-9" data-line-number="9"><span class="co">## sample(scfindGenes(scfind_index),20)</span></a></code></pre></div>
+<div class="sourceCode" id="cb627"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb627-1" data-line-number="1">tm10x_thymus <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/sce/Thymus_10X.rds"</span>)</a>
+<a class="sourceLine" id="cb627-2" data-line-number="2">thymus_index <-<span class="st"> </span><span class="kw">buildCellTypeIndex</span>(</a>
+<a class="sourceLine" id="cb627-3" data-line-number="3"> tm10x_thymus, </a>
+<a class="sourceLine" id="cb627-4" data-line-number="4"> <span class="dt">cell_type_column =</span> <span class="st">"cell_type1"</span></a>
+<a class="sourceLine" id="cb627-5" data-line-number="5">)</a>
+<a class="sourceLine" id="cb627-6" data-line-number="6"><span class="co">## scfind_index <- mergeDataset(heart_index, thymus_index)</span></a>
+<a class="sourceLine" id="cb627-7" data-line-number="7"><span class="co">## scfind_index@datasets</span></a>
+<a class="sourceLine" id="cb627-8" data-line-number="8"><span class="co">## cellTypeNames(scfind_index)</span></a>
+<a class="sourceLine" id="cb627-9" data-line-number="9"><span class="co">## sample(scfindGenes(scfind_index),20)</span></a></code></pre></div>
<p>To quickly and easily find the enriched cell type using an interactive Shiny
application use the following method:</p>
</div>
<div id="marker-genes" class="section level3">
<h3><span class="header-section-number">14.1.4</span> Marker genes</h3>
<p>Now let’s find the marker genes for Thymus T cell in the datasets</p>
-<div class="sourceCode" id="cb857"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb857-1" data-line-number="1"><span class="co"># Showing the top 5 marker genes for each cell type and sort by F1 score.</span></a>
-<a class="sourceLine" id="cb857-2" data-line-number="2">t_cell_markers <-<span class="st"> </span><span class="kw">cellTypeMarkers</span>(scfind_index, <span class="dt">cell.types =</span> <span class="st">"Thymus.T cell"</span>, <span class="dt">top.k =</span> <span class="dv">5</span>, <span class="dt">sort.field =</span> <span class="st">"f1"</span>) </a>
-<a class="sourceLine" id="cb857-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb857-4" data-line-number="4">t_cell_markers</a></code></pre></div>
+<div class="sourceCode" id="cb628"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb628-1" data-line-number="1"><span class="co"># Showing the top 5 marker genes for each cell type and sort by F1 score.</span></a>
+<a class="sourceLine" id="cb628-2" data-line-number="2">t_cell_markers <-<span class="st"> </span><span class="kw">cellTypeMarkers</span>(scfind_index, <span class="dt">cell.types =</span> <span class="st">"Thymus.T cell"</span>, <span class="dt">top.k =</span> <span class="dv">5</span>, <span class="dt">sort.field =</span> <span class="st">"f1"</span>) </a>
+<a class="sourceLine" id="cb628-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb628-4" data-line-number="4">t_cell_markers</a></code></pre></div>
<p>Next, you can evaluate the markers of Thymus T cell in Thymus stromal cell</p>
-<div class="sourceCode" id="cb858"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb858-1" data-line-number="1"><span class="kw">evaluateMarkers</span>(</a>
-<a class="sourceLine" id="cb858-2" data-line-number="2"> scfind_index, </a>
-<a class="sourceLine" id="cb858-3" data-line-number="3"> <span class="dt">gene.list =</span> <span class="kw">as.character</span>(t_cell_markers<span class="op">$</span>genes), </a>
-<a class="sourceLine" id="cb858-4" data-line-number="4"> <span class="dt">cell.types =</span> <span class="st">"Thymus.stromal cell"</span>, </a>
-<a class="sourceLine" id="cb858-5" data-line-number="5"> <span class="dt">sort.field =</span> <span class="st">"f1"</span></a>
-<a class="sourceLine" id="cb858-6" data-line-number="6">)</a></code></pre></div>
-<div class="sourceCode" id="cb859"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb859-1" data-line-number="1"><span class="co"># By default, the marker evaluation takes all cell types in the dataset as background cell type, but you can use the argument `background.cell.types` to fine tune the evaluation</span></a>
-<a class="sourceLine" id="cb859-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb859-3" data-line-number="3">background <-<span class="st"> </span><span class="kw">cellTypeNames</span>(scfind_index, <span class="dt">datasets =</span> <span class="st">"Thymus"</span>)</a>
-<a class="sourceLine" id="cb859-4" data-line-number="4">background</a>
-<a class="sourceLine" id="cb859-5" data-line-number="5"></a>
-<a class="sourceLine" id="cb859-6" data-line-number="6"><span class="kw">evaluateMarkers</span>(</a>
-<a class="sourceLine" id="cb859-7" data-line-number="7"> scfind_index, </a>
-<a class="sourceLine" id="cb859-8" data-line-number="8"> <span class="dt">gene.list =</span> <span class="kw">as.character</span>(t_cell_markers<span class="op">$</span>genes), </a>
-<a class="sourceLine" id="cb859-9" data-line-number="9"> <span class="dt">cell.types =</span> <span class="st">"Thymus.stromal cell"</span>, </a>
-<a class="sourceLine" id="cb859-10" data-line-number="10"> <span class="dt">sort.field =</span> <span class="st">"f1"</span>, </a>
-<a class="sourceLine" id="cb859-11" data-line-number="11"> <span class="dt">background.cell.types =</span> background</a>
-<a class="sourceLine" id="cb859-12" data-line-number="12">)</a></code></pre></div>
+<div class="sourceCode" id="cb629"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb629-1" data-line-number="1"><span class="kw">evaluateMarkers</span>(</a>
+<a class="sourceLine" id="cb629-2" data-line-number="2"> scfind_index, </a>
+<a class="sourceLine" id="cb629-3" data-line-number="3"> <span class="dt">gene.list =</span> <span class="kw">as.character</span>(t_cell_markers<span class="op">$</span>genes), </a>
+<a class="sourceLine" id="cb629-4" data-line-number="4"> <span class="dt">cell.types =</span> <span class="st">"Thymus.stromal cell"</span>, </a>
+<a class="sourceLine" id="cb629-5" data-line-number="5"> <span class="dt">sort.field =</span> <span class="st">"f1"</span></a>
+<a class="sourceLine" id="cb629-6" data-line-number="6">)</a></code></pre></div>
+<div class="sourceCode" id="cb630"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb630-1" data-line-number="1"><span class="co"># By default, the marker evaluation takes all cell types in the dataset as background cell type, but you can use the argument `background.cell.types` to fine tune the evaluation</span></a>
+<a class="sourceLine" id="cb630-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb630-3" data-line-number="3">background <-<span class="st"> </span><span class="kw">cellTypeNames</span>(scfind_index, <span class="dt">datasets =</span> <span class="st">"Thymus"</span>)</a>
+<a class="sourceLine" id="cb630-4" data-line-number="4">background</a>
+<a class="sourceLine" id="cb630-5" data-line-number="5"></a>
+<a class="sourceLine" id="cb630-6" data-line-number="6"><span class="kw">evaluateMarkers</span>(</a>
+<a class="sourceLine" id="cb630-7" data-line-number="7"> scfind_index, </a>
+<a class="sourceLine" id="cb630-8" data-line-number="8"> <span class="dt">gene.list =</span> <span class="kw">as.character</span>(t_cell_markers<span class="op">$</span>genes), </a>
+<a class="sourceLine" id="cb630-9" data-line-number="9"> <span class="dt">cell.types =</span> <span class="st">"Thymus.stromal cell"</span>, </a>
+<a class="sourceLine" id="cb630-10" data-line-number="10"> <span class="dt">sort.field =</span> <span class="st">"f1"</span>, </a>
+<a class="sourceLine" id="cb630-11" data-line-number="11"> <span class="dt">background.cell.types =</span> background</a>
+<a class="sourceLine" id="cb630-12" data-line-number="12">)</a></code></pre></div>
</div>
<div id="search-cells-by-a-gene-list" class="section level3">
<h3><span class="header-section-number">14.1.5</span> Search cells by a gene list</h3>
@@ -876,29 +882,29 @@ interest from large single cell dataset. We will use the marker genes identified
in an original publication <a href="https://www.nature.com/articles/cr201599">Yanbin et
al. 2015</a>. Cardiomyocyte-specific markers
used in immunostaining as shown in Figure 1.</p>
-<div class="sourceCode" id="cb860"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb860-1" data-line-number="1">cardiomyocytes <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Mef2c"</span>, <span class="st">"Gata4"</span>, <span class="st">"Nkx2.5"</span>, <span class="st">"Myh6"</span>, <span class="st">"tnnt2"</span>, <span class="st">"tnni3"</span>, <span class="st">"CDH2"</span>, <span class="st">"Cx43"</span>, <span class="st">"GJA1"</span>) </a>
-<a class="sourceLine" id="cb860-2" data-line-number="2">result <-<span class="st"> </span><span class="kw">markerGenes</span>(</a>
-<a class="sourceLine" id="cb860-3" data-line-number="3"> scfind_index, </a>
-<a class="sourceLine" id="cb860-4" data-line-number="4"> <span class="dt">gene.list =</span> cardiomyocytes</a>
-<a class="sourceLine" id="cb860-5" data-line-number="5">)</a>
-<a class="sourceLine" id="cb860-6" data-line-number="6">result</a></code></pre></div>
+<div class="sourceCode" id="cb631"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb631-1" data-line-number="1">cardiomyocytes <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Mef2c"</span>, <span class="st">"Gata4"</span>, <span class="st">"Nkx2.5"</span>, <span class="st">"Myh6"</span>, <span class="st">"tnnt2"</span>, <span class="st">"tnni3"</span>, <span class="st">"CDH2"</span>, <span class="st">"Cx43"</span>, <span class="st">"GJA1"</span>) </a>
+<a class="sourceLine" id="cb631-2" data-line-number="2">result <-<span class="st"> </span><span class="kw">markerGenes</span>(</a>
+<a class="sourceLine" id="cb631-3" data-line-number="3"> scfind_index, </a>
+<a class="sourceLine" id="cb631-4" data-line-number="4"> <span class="dt">gene.list =</span> cardiomyocytes</a>
+<a class="sourceLine" id="cb631-5" data-line-number="5">)</a>
+<a class="sourceLine" id="cb631-6" data-line-number="6">result</a></code></pre></div>
<p>To allow search of enriched cell type from a long list of gene query, <code>scfind</code>
features a query optimization routine. First, the function <code>markerGenes</code> will
counter suggest subqueries that with the highest support in the dataset. The
TF-IDF score for each gene set allows user to identify the best subquery for
finding the most relevant cell type.</p>
-<div class="sourceCode" id="cb861"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb861-1" data-line-number="1">best_subquery <-<span class="st"> </span>result[<span class="kw">which.max</span>(result<span class="op">$</span>tfidf),] <span class="co"># get the best subquery by ranking TF-IDF score</span></a>
-<a class="sourceLine" id="cb861-2" data-line-number="2">best_subquery <-<span class="st"> </span><span class="kw">strsplit</span>(<span class="kw">as.character</span>(best_subquery<span class="op">$</span>Query), <span class="st">","</span>)[[<span class="dv">1</span>]] <span class="co"># obtain gene list</span></a>
-<a class="sourceLine" id="cb861-3" data-line-number="3"><span class="kw">hyperQueryCellTypes</span>(</a>
-<a class="sourceLine" id="cb861-4" data-line-number="4"> scfind_index,</a>
-<a class="sourceLine" id="cb861-5" data-line-number="5"> <span class="dt">gene.list =</span> best_subquery</a>
-<a class="sourceLine" id="cb861-6" data-line-number="6">)</a></code></pre></div>
+<div class="sourceCode" id="cb632"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb632-1" data-line-number="1">best_subquery <-<span class="st"> </span>result[<span class="kw">which.max</span>(result<span class="op">$</span>tfidf),] <span class="co"># get the best subquery by ranking TF-IDF score</span></a>
+<a class="sourceLine" id="cb632-2" data-line-number="2">best_subquery <-<span class="st"> </span><span class="kw">strsplit</span>(<span class="kw">as.character</span>(best_subquery<span class="op">$</span>Query), <span class="st">","</span>)[[<span class="dv">1</span>]] <span class="co"># obtain gene list</span></a>
+<a class="sourceLine" id="cb632-3" data-line-number="3"><span class="kw">hyperQueryCellTypes</span>(</a>
+<a class="sourceLine" id="cb632-4" data-line-number="4"> scfind_index,</a>
+<a class="sourceLine" id="cb632-5" data-line-number="5"> <span class="dt">gene.list =</span> best_subquery</a>
+<a class="sourceLine" id="cb632-6" data-line-number="6">)</a></code></pre></div>
<p><code>hyperQueryCellTypes</code> function returns a list of p-values corresponding to all
cell types in a given dataset. It also outputs a list of cells in which genes
from the given gene list are co-expressed.</p>
<p><strong>Exercise 1</strong></p>
<p>Find the marker genes of all cell types in the Heart dataset</p>
-<div class="sourceCode" id="cb862"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb862-1" data-line-number="1">cardiac_contractility <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Ace2"</span>,<span class="st">"Fkbp1b"</span>,<span class="st">"Gh"</span>,<span class="st">"Cacna1c"</span>,<span class="st">"Cd59b"</span>,<span class="st">"Ppp1r1a"</span>,<span class="st">"Tnnt2"</span>,<span class="st">"Nos1"</span>,<span class="st">"Agtr1a"</span>,<span class="st">"Camk2g"</span>,<span class="st">"Grk2"</span>,<span class="st">"Ins2"</span>,<span class="st">"Dnah8"</span>,<span class="st">"Igf1"</span>,<span class="st">"Nos3"</span>,<span class="st">"Nppa"</span>,<span class="st">"Nppb"</span>,<span class="st">"Il6"</span>,<span class="st">"Myh6"</span>,<span class="st">"Ren2"</span>,<span class="st">"Tnni3"</span>,<span class="st">"Apln"</span>,<span class="st">"Kcnmb1"</span>,<span class="st">"Pik3cg"</span>,<span class="st">"Prkca"</span>,<span class="st">"Aplnr"</span>,<span class="st">"Slc8a1"</span>,<span class="st">"Ace"</span>,<span class="st">"Akt1"</span>,<span class="st">"Edn1"</span>,<span class="st">"Kcnmb2"</span>,<span class="st">"Nos2"</span>,<span class="st">"Tnf"</span>,<span class="st">"Myh14"</span>,<span class="st">"Adrb2"</span>,<span class="st">"Agt"</span>,<span class="st">"Adrb1"</span>,<span class="st">"Atp2a2"</span>,<span class="st">"Ryr2"</span>,<span class="st">"Pln"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb633"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb633-1" data-line-number="1">cardiac_contractility <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Ace2"</span>,<span class="st">"Fkbp1b"</span>,<span class="st">"Gh"</span>,<span class="st">"Cacna1c"</span>,<span class="st">"Cd59b"</span>,<span class="st">"Ppp1r1a"</span>,<span class="st">"Tnnt2"</span>,<span class="st">"Nos1"</span>,<span class="st">"Agtr1a"</span>,<span class="st">"Camk2g"</span>,<span class="st">"Grk2"</span>,<span class="st">"Ins2"</span>,<span class="st">"Dnah8"</span>,<span class="st">"Igf1"</span>,<span class="st">"Nos3"</span>,<span class="st">"Nppa"</span>,<span class="st">"Nppb"</span>,<span class="st">"Il6"</span>,<span class="st">"Myh6"</span>,<span class="st">"Ren2"</span>,<span class="st">"Tnni3"</span>,<span class="st">"Apln"</span>,<span class="st">"Kcnmb1"</span>,<span class="st">"Pik3cg"</span>,<span class="st">"Prkca"</span>,<span class="st">"Aplnr"</span>,<span class="st">"Slc8a1"</span>,<span class="st">"Ace"</span>,<span class="st">"Akt1"</span>,<span class="st">"Edn1"</span>,<span class="st">"Kcnmb2"</span>,<span class="st">"Nos2"</span>,<span class="st">"Tnf"</span>,<span class="st">"Myh14"</span>,<span class="st">"Adrb2"</span>,<span class="st">"Agt"</span>,<span class="st">"Adrb1"</span>,<span class="st">"Atp2a2"</span>,<span class="st">"Ryr2"</span>,<span class="st">"Pln"</span>)</a></code></pre></div>
<p><strong>Exercise 2</strong></p>
<p>Input the gene list relevant to “cardiac contractility†and find the best gene
set with the highest support. Identify the enriched cell type for this query.</p>
@@ -911,34 +917,34 @@ logical operators including “-†and "*" for “no†and “interm
respectively in front of the gene name. Here, we use operators to subset T cell
of the Thymus dataset into effector T regulatory cells and effector memory T
cell.</p>
-<div class="sourceCode" id="cb863"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb863-1" data-line-number="1">effector_t_reg_cells <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"*Ptprc"</span>, <span class="st">"-Il7r"</span>, <span class="st">"Ctla4"</span>, <span class="st">"-Il7r"</span>)</a>
-<a class="sourceLine" id="cb863-2" data-line-number="2">effector_memory_t_cells <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"-Il2ra"</span>, <span class="st">"*Ptprc"</span>, <span class="st">"Il7r"</span>)</a>
-<a class="sourceLine" id="cb863-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb863-4" data-line-number="4">subset_treg <-<span class="st"> </span><span class="kw">findCellTypes</span>(scfind_index, effector_t_reg_cells, <span class="st">"Thymus"</span>) </a>
-<a class="sourceLine" id="cb863-5" data-line-number="5">subset_tmem <-<span class="st"> </span><span class="kw">findCellTypes</span>(scfind_index, effector_memory_t_cells, <span class="st">"Thymus"</span>)</a>
-<a class="sourceLine" id="cb863-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb863-7" data-line-number="7">subset_treg</a>
-<a class="sourceLine" id="cb863-8" data-line-number="8">subset_tmem</a></code></pre></div>
+<div class="sourceCode" id="cb634"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb634-1" data-line-number="1">effector_t_reg_cells <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"*Ptprc"</span>, <span class="st">"-Il7r"</span>, <span class="st">"Ctla4"</span>, <span class="st">"-Il7r"</span>)</a>
+<a class="sourceLine" id="cb634-2" data-line-number="2">effector_memory_t_cells <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"-Il2ra"</span>, <span class="st">"*Ptprc"</span>, <span class="st">"Il7r"</span>)</a>
+<a class="sourceLine" id="cb634-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb634-4" data-line-number="4">subset_treg <-<span class="st"> </span><span class="kw">findCellTypes</span>(scfind_index, effector_t_reg_cells, <span class="st">"Thymus"</span>) </a>
+<a class="sourceLine" id="cb634-5" data-line-number="5">subset_tmem <-<span class="st"> </span><span class="kw">findCellTypes</span>(scfind_index, effector_memory_t_cells, <span class="st">"Thymus"</span>)</a>
+<a class="sourceLine" id="cb634-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb634-7" data-line-number="7">subset_treg</a>
+<a class="sourceLine" id="cb634-8" data-line-number="8">subset_tmem</a></code></pre></div>
<p>Let’s use the TSNE plot information from the <code>SingleCellExperiment</code> of Thymus to
illustrate the gating result</p>
-<div class="sourceCode" id="cb864"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb864-1" data-line-number="1">map <-<span class="st"> </span><span class="kw">data.frame</span>(</a>
-<a class="sourceLine" id="cb864-2" data-line-number="2"> tm10x_thymus<span class="op">@</span>reducedDims[[<span class="st">'TSNE'</span>]], </a>
-<a class="sourceLine" id="cb864-3" data-line-number="3"> <span class="dt">cell_type =</span> <span class="kw">as.character</span>(<span class="kw">colData</span>(tm10x_thymus)<span class="op">$</span>cell_type1), </a>
-<a class="sourceLine" id="cb864-4" data-line-number="4"> <span class="dt">stringsAsFactors =</span> F</a>
-<a class="sourceLine" id="cb864-5" data-line-number="5"> )</a>
-<a class="sourceLine" id="cb864-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb864-7" data-line-number="7">map <-<span class="st"> </span><span class="kw">subset</span>(map, cell_type <span class="op">==</span><span class="st"> "T cell"</span>) </a>
-<a class="sourceLine" id="cb864-8" data-line-number="8"></a>
-<a class="sourceLine" id="cb864-9" data-line-number="9"><span class="kw">plot_ly</span>(map, <span class="dt">x =</span> <span class="op">~</span>X1 , <span class="dt">y =</span> <span class="op">~</span>X2, <span class="dt">type=</span><span class="st">"scatter"</span>)</a>
-<a class="sourceLine" id="cb864-10" data-line-number="10"></a>
-<a class="sourceLine" id="cb864-11" data-line-number="11">map<span class="op">$</span>cell_type[subset_treg<span class="op">$</span><span class="st">`</span><span class="dt">Thymus.T cell</span><span class="st">`</span>] <-<span class="st"> "Effector T Regulatory Cell"</span></a>
-<a class="sourceLine" id="cb864-12" data-line-number="12">map<span class="op">$</span>cell_type[subset_tmem<span class="op">$</span><span class="st">`</span><span class="dt">Thymus.T cell</span><span class="st">`</span>] <-<span class="st"> "Effector Memory T Cell"</span></a>
-<a class="sourceLine" id="cb864-13" data-line-number="13"></a>
-<a class="sourceLine" id="cb864-14" data-line-number="14"><span class="kw">plot_ly</span>(map, <span class="dt">x =</span> <span class="op">~</span>X1 , <span class="dt">y =</span> <span class="op">~</span>X2, <span class="dt">type=</span><span class="st">"scatter"</span>, <span class="dt">color =</span> <span class="op">~</span>cell_type)</a></code></pre></div>
+<div class="sourceCode" id="cb635"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb635-1" data-line-number="1">map <-<span class="st"> </span><span class="kw">data.frame</span>(</a>
+<a class="sourceLine" id="cb635-2" data-line-number="2"> tm10x_thymus<span class="op">@</span>reducedDims[[<span class="st">'TSNE'</span>]], </a>
+<a class="sourceLine" id="cb635-3" data-line-number="3"> <span class="dt">cell_type =</span> <span class="kw">as.character</span>(<span class="kw">colData</span>(tm10x_thymus)<span class="op">$</span>cell_type1), </a>
+<a class="sourceLine" id="cb635-4" data-line-number="4"> <span class="dt">stringsAsFactors =</span> F</a>
+<a class="sourceLine" id="cb635-5" data-line-number="5"> )</a>
+<a class="sourceLine" id="cb635-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb635-7" data-line-number="7">map <-<span class="st"> </span><span class="kw">subset</span>(map, cell_type <span class="op">==</span><span class="st"> "T cell"</span>) </a>
+<a class="sourceLine" id="cb635-8" data-line-number="8"></a>
+<a class="sourceLine" id="cb635-9" data-line-number="9"><span class="kw">plot_ly</span>(map, <span class="dt">x =</span> <span class="op">~</span>X1 , <span class="dt">y =</span> <span class="op">~</span>X2, <span class="dt">type=</span><span class="st">"scatter"</span>)</a>
+<a class="sourceLine" id="cb635-10" data-line-number="10"></a>
+<a class="sourceLine" id="cb635-11" data-line-number="11">map<span class="op">$</span>cell_type[subset_treg<span class="op">$</span><span class="st">`</span><span class="dt">Thymus.T cell</span><span class="st">`</span>] <-<span class="st"> "Effector T Regulatory Cell"</span></a>
+<a class="sourceLine" id="cb635-12" data-line-number="12">map<span class="op">$</span>cell_type[subset_tmem<span class="op">$</span><span class="st">`</span><span class="dt">Thymus.T cell</span><span class="st">`</span>] <-<span class="st"> "Effector Memory T Cell"</span></a>
+<a class="sourceLine" id="cb635-13" data-line-number="13"></a>
+<a class="sourceLine" id="cb635-14" data-line-number="14"><span class="kw">plot_ly</span>(map, <span class="dt">x =</span> <span class="op">~</span>X1 , <span class="dt">y =</span> <span class="op">~</span>X2, <span class="dt">type=</span><span class="st">"scatter"</span>, <span class="dt">color =</span> <span class="op">~</span>cell_type)</a></code></pre></div>
</div>
<div id="sessioninfo-11" class="section level3">
<h3><span class="header-section-number">14.1.7</span> sessionInfo()</h3>
-<div class="sourceCode" id="cb865"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb865-1" data-line-number="1"><span class="kw">sessionInfo</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb636"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb636-1" data-line-number="1"><span class="kw">sessionInfo</span>()</a></code></pre></div>
</div>
</div>
diff --git a/public/confounders-reads.md b/public/confounders-reads.md
index 7392043..2aa8a81 100644
--- a/public/confounders-reads.md
+++ b/public/confounders-reads.md
@@ -9,147 +9,11 @@ knit: bookdown::preview_chapter
-
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors
-```
-
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors
-```
-
<div class="figure" style="text-align: center">
<img src="confounders-reads_files/figure-html/confound-pca-reads-1.png" alt="PCA plot of the tung data" width="90%" />
<p class="caption">(\#fig:confound-pca-reads)PCA plot of the tung data</p>
</div>
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'is_cell_control' with fewer than 2 unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_feature_control' with fewer than 2
-## unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_feature_control' with fewer than 2
-## unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_feature_control' with fewer than 2
-## unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_MT' with fewer than 2 unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_MT' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_MT' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_MT' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'use' with fewer than 2 unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'outlier' with fewer than 2 unique levels
-```
-
-```
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-```
-
<div class="figure" style="text-align: center">
<img src="confounders-reads_files/figure-html/confound-find-pcs-reads-1.png" alt="PC correlation with the number of detected genes" width="90%" />
<p class="caption">(\#fig:confound-find-pcs-reads)PC correlation with the number of detected genes</p>
diff --git a/public/confounders.md b/public/confounders.md
index 4ca746e..61a8f13 100644
--- a/public/confounders.md
+++ b/public/confounders.md
@@ -45,19 +45,6 @@ scran-normalized log2-CPM values:
qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE)
umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust)
umi.qc <- normalize(umi.qc)
-```
-
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors
-```
-
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors
-```
-
-```r
reducedDim(umi.qc, "PCA") <- reducedDim(
runPCA(umi.qc[endog_genes,],
exprs_values = "logcounts", ncomponents = 10), "PCA")
@@ -91,130 +78,6 @@ each cell, so can explain all the variation for all PCs.]
plotExplanatoryPCs(umi.qc)
```
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'is_cell_control' with fewer than 2 unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_feature_control' with fewer than 2
-## unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_feature_control' with fewer than 2
-## unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_feature_control' with fewer than 2
-## unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_ERCC' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_MT' with fewer than 2 unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_MT' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_MT' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_MT' with fewer than 2 unique
-## levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'use' with fewer than 2 unique levels
-```
-
-```
-## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'outlier' with fewer than 2 unique levels
-```
-
-```
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-```
-
<div class="figure" style="text-align: center">
<img src="confounders_files/figure-html/confound-find-pcs-total-features-1.png" alt="PC correlation with the number of detected genes" width="90%" />
<p class="caption">(\#fig:confound-find-pcs-total-features)PC correlation with the number of detected genes</p>
diff --git a/public/datasets.html b/public/datasets.html
index 74cab4e..9af9ca9 100644
--- a/public/datasets.html
+++ b/public/datasets.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
diff --git a/public/de-intro.md b/public/de-intro.md
index 2cdade6..e3af8b2 100644
--- a/public/de-intro.md
+++ b/public/de-intro.md
@@ -10,38 +10,101 @@ output: html_document
### Bulk RNA-seq
-One of the most common types of analyses when working with bulk RNA-seq
-data is to identify differentially expressed genes. By comparing the
-genes that change between two conditions, e.g. mutant and wild-type or
-stimulated and unstimulated, it is possible to characterize the
-molecular mechanisms underlying the change.
-
-Several different methods,
-e.g. [DESeq2](https://bioconductor.org/packages/DESeq2) and
-[edgeR](https://bioconductor.org/packages/release/bioc/html/edgeR.html),
-have been developed for bulk RNA-seq. Moreover, there are also
-extensive
+One of the most common types of analyses when working with bulk RNA-seq data is
+to identify differentially expressed genes. By comparing the genes that change
+between two or more conditions, e.g. mutant and wild-type or stimulated and
+unstimulated, it is possible to characterize the molecular mechanisms underlying
+the change.
+
+Several different methods, e.g.
+[edgeR](https://bioconductor.org/packages/release/bioc/html/edgeR.html) and
+[DESeq2](https://bioconductor.org/packages/DESeq2) and more, have been developed
+for bulk RNA-seq and become established as parts of robust and widely-used
+analysis workflows. Moreover, there are also extensive
[datasets](http://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-9-r95)
-available where the RNA-seq data has been validated using
-RT-qPCR. These data can be used to benchmark DE finding algorithms and the available evidence suggests that the algorithms are performing quite well.
+available where the RNA-seq data has been validated using RT-qPCR. These data
+can be used to benchmark DE finding algorithms and the available evidence
+suggests that the algorithms are performing well.
+
### Single cell RNA-seq
-In contrast to bulk RNA-seq, in scRNA-seq we usually do not have a defined
-set of experimental conditions. Instead, as was shown in a previous chapter
+In contrast to bulk RNA-seq, in scRNA-seq we often do not have a defined set
+of experimental conditions. Instead, as was shown in a previous chapter
(\@ref(clust-methods)) we can identify the cell groups by using an unsupervised
-clustering approach. Once the groups have been identified one can find differentially
-expressed genes either by comparing the differences in variance between the groups (like the Kruskal-Wallis test implemented in SC3), or by comparing gene expression between clusters in a pairwise manner. In the following chapter we will mainly consider tools developed for pairwise comparisons.
+clustering approach. Once the groups have been identified one can find
+differentially expressed genes either by comparing the differences in variance
+between the groups (like the Kruskal-Wallis test implemented in SC3), or by
+comparing gene expression between clusters in a pairwise manner. In the
+following chapter we will mainly consider tools developed for pairwise
+comparisons.
+
+These method may also be applied when comparing cells obtained from different
+groups or conditions. Such analyses can be complicated by differing cell type
+proportions between samples (i.e. distinct samples cell populations; the unit of
+replication in the study). In such cases, it is likely beneficial to identify
+distinct cell types and conduct differential expression testing between
+conditions within each cell type.
+
### Differences in Distribution
-Unlike bulk RNA-seq, we generally have a large number of samples (i.e. cells) for each group we are comparing in single-cell experiments. Thus we can take advantage of the whole distribution of expression values in each group to identify differences between groups rather than only comparing estimates of mean-expression as is standard for bulk RNASeq.
+Unlike bulk RNA-seq, we generally have a large number of samples (i.e. cells)
+for each group we are comparing in single-cell experiments. Thus we may be able
+to take advantage of the whole distribution of expression values in each group
+to identify differences between groups rather than only comparing estimates of
+mean-expression as is standard for bulk RNASeq.
+
+There are two main approaches to comparing distributions. Firstly, we can use
+existing statistical models/distributions and fit the same type of model to the
+expression in each group then test for differences in the parameters for each
+model, or test whether the model fits better if a particular parameter is allowed
+to be different according to group. For instance in Chapter
+\@ref(dealing-with-confounders) we used `edgeR` to test whether allowing mean
+expression to be different in different batches significantly improved the fit
+of a negative binomial model of the data.
+
+Alternatively, we can use a non-parametric test which does not assume that
+expression values follow any particular distribution, e.g. the
+[Kolmogorov-Smirnov test
+(KS-test)](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test).
+Non-parametric tests generally convert observed expression values to ranks and
+test whether the distribution of ranks for one group are signficantly different
+from the distribution of ranks for the other group. However, some non-parametric
+methods fail in the presence of a large number of tied values, such as the case
+for dropouts (zeros) in single-cell RNA-seq expression data. Moreover, if the
+conditions for a parametric test hold, then it will typically be more powerful
+than a non-parametric test.
+
+
+### Benchmarking of DE methods for scRNA-seq data
+
+So far there has been one high-quality benchmarking study of single-cell
+differential expression methods [@Soneson2018-hy]. The figure below summarises
+the results from that paper (which is well worth reading in full!):
+
+
+```r
+knitr::include_graphics("figures/soneson-de-benchmark-fig5.png")
+```
+
+<div class="figure" style="text-align: center">
+<img src="figures/soneson-de-benchmark-fig5.png" alt="Figure 5 reproduced from Soneson and Robinson (2018). Summary of DE method performance across all major evaluation criteria. Criteria and cutoff values for performance categories are available in the Online Methods. Methods are ranked by their average performance across the criteria, with the numerical encoding good = 2, intermediate = 1, poor = 0. NODES and SAMseq do not return nominal P values and were therefore not evaluated in terms of the FPR." width="90%" />
+<p class="caption">(\#fig:de-benchmarking)Figure 5 reproduced from Soneson and Robinson (2018). Summary of DE method performance across all major evaluation criteria. Criteria and cutoff values for performance categories are available in the Online Methods. Methods are ranked by their average performance across the criteria, with the numerical encoding good = 2, intermediate = 1, poor = 0. NODES and SAMseq do not return nominal P values and were therefore not evaluated in terms of the FPR.</p>
+</div>
-There are two main approaches to comparing distributions. Firstly, we can use existing statistical models/distributions and fit the same type of model to the expression in each group then test for differences in the parameters for each model, or test whether the model fits better if a particular paramter is allowed to be different according to group. For instance in Chapter \@ref(dealing-with-confounders) we used edgeR to test whether allowing mean expression to be different in different batches significantly improved the fit of a negative binomial model of the data.
+One particularly surprising outcome of this benchmarking study is that almost
+all methods designed specifically for the analysis of scRNA-seq data are
+outperformed by established bulk RNA-seq DE methods (edgeR, limma) and standard,
+classical statistical methods (t-test, Wilcoxon rank-sum tests). MAST
+[@Finak2015-ow] is the only method designed specifically for scRNA-seq data that
+performs well in this benchmark. These benchmarking results are a credit to the
+durability and flexibility of the leading bulk RNA-seq DE methods and a subtle
+indictment of the land rush of new scRNA-seq methods that were published without
+adequate comparison to existing bulk RNA-seq methods.
-Alternatively, we can use a non-parametric test which does not assume that expression values follow any particular distribution, e.g. the [Kolmogorov-Smirnov test (KS-test)](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test). Non-parametric tests generally convert observed expression values to ranks and test whether the distribution of ranks for one group are signficantly different from the distribution of ranks for the other group. However, some non-parametric methods fail in the presence of a large number of tied values, such as the case for dropouts (zeros) in single-cell RNA-seq expression data. Moreover, if the conditions for a parametric test hold, then it will typically be more powerful than a non-parametric test.
-### Models of single-cell RNASeq data
+### Models of single-cell RNA-seq data
The most common model of RNASeq data is the negative binomial model:
@@ -70,9 +133,21 @@ $\mu = mu$
Variance:
$\sigma^2 = mu + mu^2/size$
-It is parameterized by the mean expression (mu) and the dispersion (size), which is inversely related to the variance. The negative binomial model fits bulk RNA-seq data very well and it is used for most statistical methods designed for such data. In addition, it has been show to fit the distribution of molecule counts obtained from data tagged by unique molecular identifiers (UMIs) quite well ([Grun et al. 2014](http://www.nature.com/nmeth/journal/v11/n6/full/nmeth.2930.html), [Islam et al. 2011](http://genome.cshlp.org/content/21/7/1160)).
+It is parameterized by the mean expression (mu) and the dispersion (size), which
+is inversely related to the variance. The negative binomial model fits bulk
+RNA-seq data very well and it is used for most statistical methods designed for
+such data. In addition, it has been show to fit the distribution of molecule
+counts obtained from data tagged by unique molecular identifiers (UMIs) quite
+well ([Grun et al.
+2014](http://www.nature.com/nmeth/journal/v11/n6/full/nmeth.2930.html), [Islam
+et al. 2011](http://genome.cshlp.org/content/21/7/1160)).
-However, a raw negative binomial model does not fit full-length transcript data as well due to the high dropout rates relative to the non-zero read counts. For this type of data a variety of zero-inflated negative binomial models have been proposed (e.g. [MAST](https://bioconductor.org/packages/release/bioc/html/MAST.html), [SCDE](https://bioconductor.org/packages/release/bioc/html/scde.html)).
+However, a raw negative binomial model does not necessarily fit full-length
+transcript data as well due to the high dropout rates relative to the non-zero
+read counts. For this type of data a variety of zero-inflated negative binomial
+models have been proposed (e.g.
+[MAST](https://bioconductor.org/packages/release/bioc/html/MAST.html),
+[SCDE](https://bioconductor.org/packages/release/bioc/html/scde.html)).
```r
@@ -101,9 +176,20 @@ $\mu = mu \cdot (1 - d)$
Variance:
$\sigma^2 = \mu \cdot (1-d) \cdot (1 + d \cdot \mu + \mu / size)$
-These models introduce a new parameter $d$, for the dropout rate, to the negative binomial model. As we saw in Chapter 19, the dropout rate of a gene is strongly correlated with the mean expression of the gene. Different zero-inflated negative binomial models use different relationships between mu and d and some may fit $\mu$ and $d$ to the expression of each gene independently.
+These models introduce a new parameter $d$, for the dropout rate, to the
+negative binomial model. As we saw in Chapter 19, the dropout rate of a gene is
+strongly correlated with the mean expression of the gene. Different
+zero-inflated negative binomial models use different relationships between mu
+and d and some may fit $\mu$ and $d$ to the expression of each gene
+independently.
-Finally, several methods use a Poisson-Beta distribution which is based on a mechanistic model of transcriptional bursting. There is strong experimental support for this model ([Kim and Marioni, 2013](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-1-r7)) and it provides a good fit to scRNA-seq data but it is less easy to use than the negative-binomial models and much less existing methods upon which to build than the negative binomial model.
+Finally, several methods use a Poisson-Beta distribution which is based on a
+mechanistic model of transcriptional bursting. There is strong experimental
+support for this model ([Kim and Marioni,
+2013](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-1-r7))
+and it provides a good fit to scRNA-seq data but it is less easy to use than the
+negative-binomial models and much less existing methods upon which to build than
+the negative binomial model.
```r
@@ -127,9 +213,17 @@ $\mu = g \cdot a / (a + b)$
Variance:
$\sigma^2 = g^2 \cdot a \cdot b/((a + b + 1) \cdot (a + b)^2)$
-This model uses three parameters: $a$ the rate of activation of transcription; $b$ the rate of inhibition of transcription; and $g$ the rate of transcript production while transcription is active at the locus. Differential expression methods may test each of the parameters for differences across groups or only one (often $g$).
+This model uses three parameters: $a$ the rate of activation of transcription;
+$b$ the rate of inhibition of transcription; and $g$ the rate of transcript
+production while transcription is active at the locus. Differential expression
+methods may test each of the parameters for differences across groups or only
+one (often $g$).
-All of these models may be further expanded to explicitly account for other sources of gene expression differences such as batch-effect or library depth depending on the particular DE algorithm.
+All of these models may be further expanded to explicitly account for other
+sources of gene expression differences such as batch-effect or library depth
+depending on the particular DE algorithm.
-__Exercise__: Vary the parameters of each distribution to explore how they affect the distribution of gene expression. How similar are the Poisson-Beta and Negative Binomial models?
+__Exercise__: Vary the parameters of each distribution to explore how they
+affect the distribution of gene expression. How similar are the Poisson-Beta and
+Negative Binomial models?
diff --git a/public/dechapter.html b/public/dechapter.html
index fd3cec6..201d567 100644
--- a/public/dechapter.html
+++ b/public/dechapter.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -510,140 +516,225 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<h2><span class="header-section-number">12.1</span> Introduction to DE analysis</h2>
<div id="bulk-rna-seq-1" class="section level3">
<h3><span class="header-section-number">12.1.1</span> Bulk RNA-seq</h3>
-<p>One of the most common types of analyses when working with bulk RNA-seq
-data is to identify differentially expressed genes. By comparing the
-genes that change between two conditions, e.g. mutant and wild-type or
-stimulated and unstimulated, it is possible to characterize the
-molecular mechanisms underlying the change.</p>
-<p>Several different methods,
-e.g. <a href="https://bioconductor.org/packages/DESeq2">DESeq2</a> and
-<a href="https://bioconductor.org/packages/release/bioc/html/edgeR.html">edgeR</a>,
-have been developed for bulk RNA-seq. Moreover, there are also
-extensive
+<p>One of the most common types of analyses when working with bulk RNA-seq data is
+to identify differentially expressed genes. By comparing the genes that change
+between two or more conditions, e.g. mutant and wild-type or stimulated and
+unstimulated, it is possible to characterize the molecular mechanisms underlying
+the change.</p>
+<p>Several different methods, e.g.
+<a href="https://bioconductor.org/packages/release/bioc/html/edgeR.html">edgeR</a> and
+<a href="https://bioconductor.org/packages/DESeq2">DESeq2</a> and more, have been developed
+for bulk RNA-seq and become established as parts of robust and widely-used
+analysis workflows. Moreover, there are also extensive
<a href="http://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-9-r95">datasets</a>
-available where the RNA-seq data has been validated using
-RT-qPCR. These data can be used to benchmark DE finding algorithms and the available evidence suggests that the algorithms are performing quite well.</p>
+available where the RNA-seq data has been validated using RT-qPCR. These data
+can be used to benchmark DE finding algorithms and the available evidence
+suggests that the algorithms are performing well.</p>
</div>
<div id="single-cell-rna-seq" class="section level3">
<h3><span class="header-section-number">12.1.2</span> Single cell RNA-seq</h3>
-<p>In contrast to bulk RNA-seq, in scRNA-seq we usually do not have a defined
-set of experimental conditions. Instead, as was shown in a previous chapter
+<p>In contrast to bulk RNA-seq, in scRNA-seq we often do not have a defined set
+of experimental conditions. Instead, as was shown in a previous chapter
(<a href="clustering-and-cell-annotation.html#clust-methods">10.2</a>) we can identify the cell groups by using an unsupervised
-clustering approach. Once the groups have been identified one can find differentially
-expressed genes either by comparing the differences in variance between the groups (like the Kruskal-Wallis test implemented in SC3), or by comparing gene expression between clusters in a pairwise manner. In the following chapter we will mainly consider tools developed for pairwise comparisons.</p>
+clustering approach. Once the groups have been identified one can find
+differentially expressed genes either by comparing the differences in variance
+between the groups (like the Kruskal-Wallis test implemented in SC3), or by
+comparing gene expression between clusters in a pairwise manner. In the
+following chapter we will mainly consider tools developed for pairwise
+comparisons.</p>
+<p>These method may also be applied when comparing cells obtained from different
+groups or conditions. Such analyses can be complicated by differing cell type
+proportions between samples (i.e. distinct samples cell populations; the unit of
+replication in the study). In such cases, it is likely beneficial to identify
+distinct cell types and conduct differential expression testing between
+conditions within each cell type.</p>
</div>
<div id="differences-in-distribution" class="section level3">
<h3><span class="header-section-number">12.1.3</span> Differences in Distribution</h3>
-<p>Unlike bulk RNA-seq, we generally have a large number of samples (i.e. cells) for each group we are comparing in single-cell experiments. Thus we can take advantage of the whole distribution of expression values in each group to identify differences between groups rather than only comparing estimates of mean-expression as is standard for bulk RNASeq.</p>
-<p>There are two main approaches to comparing distributions. Firstly, we can use existing statistical models/distributions and fit the same type of model to the expression in each group then test for differences in the parameters for each model, or test whether the model fits better if a particular paramter is allowed to be different according to group. For instance in Chapter <a href="#dealing-with-confounders"><strong>??</strong></a> we used edgeR to test whether allowing mean expression to be different in different batches significantly improved the fit of a negative binomial model of the data.</p>
-<p>Alternatively, we can use a non-parametric test which does not assume that expression values follow any particular distribution, e.g. the <a href="https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test">Kolmogorov-Smirnov test (KS-test)</a>. Non-parametric tests generally convert observed expression values to ranks and test whether the distribution of ranks for one group are signficantly different from the distribution of ranks for the other group. However, some non-parametric methods fail in the presence of a large number of tied values, such as the case for dropouts (zeros) in single-cell RNA-seq expression data. Moreover, if the conditions for a parametric test hold, then it will typically be more powerful than a non-parametric test.</p>
+<p>Unlike bulk RNA-seq, we generally have a large number of samples (i.e. cells)
+for each group we are comparing in single-cell experiments. Thus we may be able
+to take advantage of the whole distribution of expression values in each group
+to identify differences between groups rather than only comparing estimates of
+mean-expression as is standard for bulk RNASeq.</p>
+<p>There are two main approaches to comparing distributions. Firstly, we can use
+existing statistical models/distributions and fit the same type of model to the
+expression in each group then test for differences in the parameters for each
+model, or test whether the model fits better if a particular parameter is allowed
+to be different according to group. For instance in Chapter
+<a href="#dealing-with-confounders"><strong>??</strong></a> we used <code>edgeR</code> to test whether allowing mean
+expression to be different in different batches significantly improved the fit
+of a negative binomial model of the data.</p>
+<p>Alternatively, we can use a non-parametric test which does not assume that
+expression values follow any particular distribution, e.g. the
+<a href="https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test">Kolmogorov-Smirnov test
+(KS-test)</a>.
+Non-parametric tests generally convert observed expression values to ranks and
+test whether the distribution of ranks for one group are signficantly different
+from the distribution of ranks for the other group. However, some non-parametric
+methods fail in the presence of a large number of tied values, such as the case
+for dropouts (zeros) in single-cell RNA-seq expression data. Moreover, if the
+conditions for a parametric test hold, then it will typically be more powerful
+than a non-parametric test.</p>
+</div>
+<div id="benchmarking-of-de-methods-for-scrna-seq-data" class="section level3">
+<h3><span class="header-section-number">12.1.4</span> Benchmarking of DE methods for scRNA-seq data</h3>
+<p>So far there has been one high-quality benchmarking study of single-cell
+differential expression methods <span class="citation">(Soneson and Robinson <a href="#ref-Soneson2018-hy">2018</a>)</span>. The figure below summarises
+the results from that paper (which is well worth reading in full!):</p>
+<div class="sourceCode" id="cb565"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb565-1" data-line-number="1">knitr<span class="op">::</span><span class="kw">include_graphics</span>(<span class="st">"figures/soneson-de-benchmark-fig5.png"</span>)</a></code></pre></div>
+<div class="figure" style="text-align: center"><span id="fig:de-benchmarking"></span>
+<img src="figures/soneson-de-benchmark-fig5.png" alt="Figure 5 reproduced from Soneson and Robinson (2018). Summary of DE method performance across all major evaluation criteria. Criteria and cutoff values for performance categories are available in the Online Methods. Methods are ranked by their average performance across the criteria, with the numerical encoding good = 2, intermediate = 1, poor = 0. NODES and SAMseq do not return nominal P values and were therefore not evaluated in terms of the FPR." width="90%" />
+<p class="caption">
+Figure 12.1: Figure 5 reproduced from Soneson and Robinson (2018). Summary of DE method performance across all major evaluation criteria. Criteria and cutoff values for performance categories are available in the Online Methods. Methods are ranked by their average performance across the criteria, with the numerical encoding good = 2, intermediate = 1, poor = 0. NODES and SAMseq do not return nominal P values and were therefore not evaluated in terms of the FPR.
+</p>
+</div>
+<p>One particularly surprising outcome of this benchmarking study is that almost
+all methods designed specifically for the analysis of scRNA-seq data are
+outperformed by established bulk RNA-seq DE methods (edgeR, limma) and standard,
+classical statistical methods (t-test, Wilcoxon rank-sum tests). MAST
+<span class="citation">(Finak et al. <a href="#ref-Finak2015-ow">2015</a>)</span> is the only method designed specifically for scRNA-seq data that
+performs well in this benchmark. These benchmarking results are a credit to the
+durability and flexibility of the leading bulk RNA-seq DE methods and a subtle
+indictment of the land rush of new scRNA-seq methods that were published without
+adequate comparison to existing bulk RNA-seq methods.</p>
</div>
-<div id="models-of-single-cell-rnaseq-data" class="section level3">
-<h3><span class="header-section-number">12.1.4</span> Models of single-cell RNASeq data</h3>
+<div id="models-of-single-cell-rna-seq-data" class="section level3">
+<h3><span class="header-section-number">12.1.5</span> Models of single-cell RNA-seq data</h3>
<p>The most common model of RNASeq data is the negative binomial model:</p>
-<div class="sourceCode" id="cb795"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb795-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a>
-<a class="sourceLine" id="cb795-2" data-line-number="2"><span class="kw">hist</span>(</a>
-<a class="sourceLine" id="cb795-3" data-line-number="3"> <span class="kw">rnbinom</span>(</a>
-<a class="sourceLine" id="cb795-4" data-line-number="4"> <span class="dv">1000</span>, </a>
-<a class="sourceLine" id="cb795-5" data-line-number="5"> <span class="dt">mu =</span> <span class="dv">10</span>, </a>
-<a class="sourceLine" id="cb795-6" data-line-number="6"> <span class="dt">size =</span> <span class="dv">100</span>), </a>
-<a class="sourceLine" id="cb795-7" data-line-number="7"> <span class="dt">col =</span> <span class="st">"grey50"</span>, </a>
-<a class="sourceLine" id="cb795-8" data-line-number="8"> <span class="dt">xlab =</span> <span class="st">"Read Counts"</span>, </a>
-<a class="sourceLine" id="cb795-9" data-line-number="9"> <span class="dt">main =</span> <span class="st">"Negative Binomial"</span></a>
-<a class="sourceLine" id="cb795-10" data-line-number="10">)</a></code></pre></div>
+<div class="sourceCode" id="cb566"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb566-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a>
+<a class="sourceLine" id="cb566-2" data-line-number="2"><span class="kw">hist</span>(</a>
+<a class="sourceLine" id="cb566-3" data-line-number="3"> <span class="kw">rnbinom</span>(</a>
+<a class="sourceLine" id="cb566-4" data-line-number="4"> <span class="dv">1000</span>, </a>
+<a class="sourceLine" id="cb566-5" data-line-number="5"> <span class="dt">mu =</span> <span class="dv">10</span>, </a>
+<a class="sourceLine" id="cb566-6" data-line-number="6"> <span class="dt">size =</span> <span class="dv">100</span>), </a>
+<a class="sourceLine" id="cb566-7" data-line-number="7"> <span class="dt">col =</span> <span class="st">"grey50"</span>, </a>
+<a class="sourceLine" id="cb566-8" data-line-number="8"> <span class="dt">xlab =</span> <span class="st">"Read Counts"</span>, </a>
+<a class="sourceLine" id="cb566-9" data-line-number="9"> <span class="dt">main =</span> <span class="st">"Negative Binomial"</span></a>
+<a class="sourceLine" id="cb566-10" data-line-number="10">)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:nb-plot"></span>
<img src="de-intro_files/figure-html/nb-plot-1.png" alt="Negative Binomial distribution of read counts for a single gene across 1000 cells" width="90%" />
<p class="caption">
-Figure 12.1: Negative Binomial distribution of read counts for a single gene across 1000 cells
+Figure 12.2: Negative Binomial distribution of read counts for a single gene across 1000 cells
</p>
</div>
<p>Mean:
<span class="math inline">\(\mu = mu\)</span></p>
<p>Variance:
<span class="math inline">\(\sigma^2 = mu + mu^2/size\)</span></p>
-<p>It is parameterized by the mean expression (mu) and the dispersion (size), which is inversely related to the variance. The negative binomial model fits bulk RNA-seq data very well and it is used for most statistical methods designed for such data. In addition, it has been show to fit the distribution of molecule counts obtained from data tagged by unique molecular identifiers (UMIs) quite well (<a href="http://www.nature.com/nmeth/journal/v11/n6/full/nmeth.2930.html">Grun et al. 2014</a>, <a href="http://genome.cshlp.org/content/21/7/1160">Islam et al. 2011</a>).</p>
-<p>However, a raw negative binomial model does not fit full-length transcript data as well due to the high dropout rates relative to the non-zero read counts. For this type of data a variety of zero-inflated negative binomial models have been proposed (e.g. <a href="https://bioconductor.org/packages/release/bioc/html/MAST.html">MAST</a>, <a href="https://bioconductor.org/packages/release/bioc/html/scde.html">SCDE</a>).</p>
-<div class="sourceCode" id="cb796"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb796-1" data-line-number="1">d <-<span class="st"> </span><span class="fl">0.5</span>;</a>
-<a class="sourceLine" id="cb796-2" data-line-number="2">counts <-<span class="st"> </span><span class="kw">rnbinom</span>(</a>
-<a class="sourceLine" id="cb796-3" data-line-number="3"> <span class="dv">1000</span>, </a>
-<a class="sourceLine" id="cb796-4" data-line-number="4"> <span class="dt">mu =</span> <span class="dv">10</span>, </a>
-<a class="sourceLine" id="cb796-5" data-line-number="5"> <span class="dt">size =</span> <span class="dv">100</span></a>
-<a class="sourceLine" id="cb796-6" data-line-number="6">)</a>
-<a class="sourceLine" id="cb796-7" data-line-number="7">counts[<span class="kw">runif</span>(<span class="dv">1000</span>) <span class="op"><</span><span class="st"> </span>d] <-<span class="st"> </span><span class="dv">0</span></a>
-<a class="sourceLine" id="cb796-8" data-line-number="8"><span class="kw">hist</span>(</a>
-<a class="sourceLine" id="cb796-9" data-line-number="9"> counts, </a>
-<a class="sourceLine" id="cb796-10" data-line-number="10"> <span class="dt">col =</span> <span class="st">"grey50"</span>, </a>
-<a class="sourceLine" id="cb796-11" data-line-number="11"> <span class="dt">xlab =</span> <span class="st">"Read Counts"</span>, </a>
-<a class="sourceLine" id="cb796-12" data-line-number="12"> <span class="dt">main =</span> <span class="st">"Zero-inflated NB"</span></a>
-<a class="sourceLine" id="cb796-13" data-line-number="13">)</a></code></pre></div>
+<p>It is parameterized by the mean expression (mu) and the dispersion (size), which
+is inversely related to the variance. The negative binomial model fits bulk
+RNA-seq data very well and it is used for most statistical methods designed for
+such data. In addition, it has been show to fit the distribution of molecule
+counts obtained from data tagged by unique molecular identifiers (UMIs) quite
+well (<a href="http://www.nature.com/nmeth/journal/v11/n6/full/nmeth.2930.html">Grun et
+al. 2014</a>, <a href="http://genome.cshlp.org/content/21/7/1160">Islam
+et al. 2011</a>).</p>
+<p>However, a raw negative binomial model does not necessarily fit full-length
+transcript data as well due to the high dropout rates relative to the non-zero
+read counts. For this type of data a variety of zero-inflated negative binomial
+models have been proposed (e.g.
+<a href="https://bioconductor.org/packages/release/bioc/html/MAST.html">MAST</a>,
+<a href="https://bioconductor.org/packages/release/bioc/html/scde.html">SCDE</a>).</p>
+<div class="sourceCode" id="cb567"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb567-1" data-line-number="1">d <-<span class="st"> </span><span class="fl">0.5</span>;</a>
+<a class="sourceLine" id="cb567-2" data-line-number="2">counts <-<span class="st"> </span><span class="kw">rnbinom</span>(</a>
+<a class="sourceLine" id="cb567-3" data-line-number="3"> <span class="dv">1000</span>, </a>
+<a class="sourceLine" id="cb567-4" data-line-number="4"> <span class="dt">mu =</span> <span class="dv">10</span>, </a>
+<a class="sourceLine" id="cb567-5" data-line-number="5"> <span class="dt">size =</span> <span class="dv">100</span></a>
+<a class="sourceLine" id="cb567-6" data-line-number="6">)</a>
+<a class="sourceLine" id="cb567-7" data-line-number="7">counts[<span class="kw">runif</span>(<span class="dv">1000</span>) <span class="op"><</span><span class="st"> </span>d] <-<span class="st"> </span><span class="dv">0</span></a>
+<a class="sourceLine" id="cb567-8" data-line-number="8"><span class="kw">hist</span>(</a>
+<a class="sourceLine" id="cb567-9" data-line-number="9"> counts, </a>
+<a class="sourceLine" id="cb567-10" data-line-number="10"> <span class="dt">col =</span> <span class="st">"grey50"</span>, </a>
+<a class="sourceLine" id="cb567-11" data-line-number="11"> <span class="dt">xlab =</span> <span class="st">"Read Counts"</span>, </a>
+<a class="sourceLine" id="cb567-12" data-line-number="12"> <span class="dt">main =</span> <span class="st">"Zero-inflated NB"</span></a>
+<a class="sourceLine" id="cb567-13" data-line-number="13">)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:zero-inflation-plot"></span>
<img src="de-intro_files/figure-html/zero-inflation-plot-1.png" alt="Zero-inflated Negative Binomial distribution" width="90%" />
<p class="caption">
-Figure 12.2: Zero-inflated Negative Binomial distribution
+Figure 12.3: Zero-inflated Negative Binomial distribution
</p>
</div>
<p>Mean:
<span class="math inline">\(\mu = mu \cdot (1 - d)\)</span></p>
<p>Variance:
<span class="math inline">\(\sigma^2 = \mu \cdot (1-d) \cdot (1 + d \cdot \mu + \mu / size)\)</span></p>
-<p>These models introduce a new parameter <span class="math inline">\(d\)</span>, for the dropout rate, to the negative binomial model. As we saw in Chapter 19, the dropout rate of a gene is strongly correlated with the mean expression of the gene. Different zero-inflated negative binomial models use different relationships between mu and d and some may fit <span class="math inline">\(\mu\)</span> and <span class="math inline">\(d\)</span> to the expression of each gene independently.</p>
-<p>Finally, several methods use a Poisson-Beta distribution which is based on a mechanistic model of transcriptional bursting. There is strong experimental support for this model (<a href="https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-1-r7">Kim and Marioni, 2013</a>) and it provides a good fit to scRNA-seq data but it is less easy to use than the negative-binomial models and much less existing methods upon which to build than the negative binomial model.</p>
-<div class="sourceCode" id="cb797"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb797-1" data-line-number="1">a <-<span class="st"> </span><span class="fl">0.1</span></a>
-<a class="sourceLine" id="cb797-2" data-line-number="2">b <-<span class="st"> </span><span class="fl">0.1</span></a>
-<a class="sourceLine" id="cb797-3" data-line-number="3">g <-<span class="st"> </span><span class="dv">100</span></a>
-<a class="sourceLine" id="cb797-4" data-line-number="4">lambdas <-<span class="st"> </span><span class="kw">rbeta</span>(<span class="dv">1000</span>, a, b)</a>
-<a class="sourceLine" id="cb797-5" data-line-number="5">counts <-<span class="st"> </span><span class="kw">sapply</span>(g<span class="op">*</span>lambdas, <span class="cf">function</span>(l) {<span class="kw">rpois</span>(<span class="dv">1</span>, <span class="dt">lambda =</span> l)})</a>
-<a class="sourceLine" id="cb797-6" data-line-number="6"><span class="kw">hist</span>(</a>
-<a class="sourceLine" id="cb797-7" data-line-number="7"> counts, </a>
-<a class="sourceLine" id="cb797-8" data-line-number="8"> <span class="dt">col =</span> <span class="st">"grey50"</span>, </a>
-<a class="sourceLine" id="cb797-9" data-line-number="9"> <span class="dt">xlab =</span> <span class="st">"Read Counts"</span>, </a>
-<a class="sourceLine" id="cb797-10" data-line-number="10"> <span class="dt">main =</span> <span class="st">"Poisson-Beta"</span></a>
-<a class="sourceLine" id="cb797-11" data-line-number="11">)</a></code></pre></div>
+<p>These models introduce a new parameter <span class="math inline">\(d\)</span>, for the dropout rate, to the
+negative binomial model. As we saw in Chapter 19, the dropout rate of a gene is
+strongly correlated with the mean expression of the gene. Different
+zero-inflated negative binomial models use different relationships between mu
+and d and some may fit <span class="math inline">\(\mu\)</span> and <span class="math inline">\(d\)</span> to the expression of each gene
+independently.</p>
+<p>Finally, several methods use a Poisson-Beta distribution which is based on a
+mechanistic model of transcriptional bursting. There is strong experimental
+support for this model (<a href="https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-1-r7">Kim and Marioni,
+2013</a>)
+and it provides a good fit to scRNA-seq data but it is less easy to use than the
+negative-binomial models and much less existing methods upon which to build than
+the negative binomial model.</p>
+<div class="sourceCode" id="cb568"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb568-1" data-line-number="1">a <-<span class="st"> </span><span class="fl">0.1</span></a>
+<a class="sourceLine" id="cb568-2" data-line-number="2">b <-<span class="st"> </span><span class="fl">0.1</span></a>
+<a class="sourceLine" id="cb568-3" data-line-number="3">g <-<span class="st"> </span><span class="dv">100</span></a>
+<a class="sourceLine" id="cb568-4" data-line-number="4">lambdas <-<span class="st"> </span><span class="kw">rbeta</span>(<span class="dv">1000</span>, a, b)</a>
+<a class="sourceLine" id="cb568-5" data-line-number="5">counts <-<span class="st"> </span><span class="kw">sapply</span>(g<span class="op">*</span>lambdas, <span class="cf">function</span>(l) {<span class="kw">rpois</span>(<span class="dv">1</span>, <span class="dt">lambda =</span> l)})</a>
+<a class="sourceLine" id="cb568-6" data-line-number="6"><span class="kw">hist</span>(</a>
+<a class="sourceLine" id="cb568-7" data-line-number="7"> counts, </a>
+<a class="sourceLine" id="cb568-8" data-line-number="8"> <span class="dt">col =</span> <span class="st">"grey50"</span>, </a>
+<a class="sourceLine" id="cb568-9" data-line-number="9"> <span class="dt">xlab =</span> <span class="st">"Read Counts"</span>, </a>
+<a class="sourceLine" id="cb568-10" data-line-number="10"> <span class="dt">main =</span> <span class="st">"Poisson-Beta"</span></a>
+<a class="sourceLine" id="cb568-11" data-line-number="11">)</a></code></pre></div>
<p><img src="de-intro_files/figure-html/pois-beta-plot-1.png" width="90%" style="display: block; margin: auto;" />
Mean:
<span class="math inline">\(\mu = g \cdot a / (a + b)\)</span></p>
<p>Variance:
<span class="math inline">\(\sigma^2 = g^2 \cdot a \cdot b/((a + b + 1) \cdot (a + b)^2)\)</span></p>
-<p>This model uses three parameters: <span class="math inline">\(a\)</span> the rate of activation of transcription; <span class="math inline">\(b\)</span> the rate of inhibition of transcription; and <span class="math inline">\(g\)</span> the rate of transcript production while transcription is active at the locus. Differential expression methods may test each of the parameters for differences across groups or only one (often <span class="math inline">\(g\)</span>).</p>
-<p>All of these models may be further expanded to explicitly account for other sources of gene expression differences such as batch-effect or library depth depending on the particular DE algorithm.</p>
-<p><strong>Exercise</strong>: Vary the parameters of each distribution to explore how they affect the distribution of gene expression. How similar are the Poisson-Beta and Negative Binomial models?</p>
+<p>This model uses three parameters: <span class="math inline">\(a\)</span> the rate of activation of transcription;
+<span class="math inline">\(b\)</span> the rate of inhibition of transcription; and <span class="math inline">\(g\)</span> the rate of transcript
+production while transcription is active at the locus. Differential expression
+methods may test each of the parameters for differences across groups or only
+one (often <span class="math inline">\(g\)</span>).</p>
+<p>All of these models may be further expanded to explicitly account for other
+sources of gene expression differences such as batch-effect or library depth
+depending on the particular DE algorithm.</p>
+<p><strong>Exercise</strong>: Vary the parameters of each distribution to explore how they
+affect the distribution of gene expression. How similar are the Poisson-Beta and
+Negative Binomial models?</p>
</div>
</div>
<div id="de-in-a-real-dataset" class="section level2">
<h2><span class="header-section-number">12.2</span> DE in a real dataset</h2>
-<div class="sourceCode" id="cb798"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb798-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
-<a class="sourceLine" id="cb798-2" data-line-number="2"><span class="kw">library</span>(edgeR)</a>
-<a class="sourceLine" id="cb798-3" data-line-number="3"><span class="kw">library</span>(monocle)</a>
-<a class="sourceLine" id="cb798-4" data-line-number="4"><span class="kw">library</span>(MAST)</a>
-<a class="sourceLine" id="cb798-5" data-line-number="5"><span class="kw">library</span>(ROCR)</a>
-<a class="sourceLine" id="cb798-6" data-line-number="6"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb569"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb569-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
+<a class="sourceLine" id="cb569-2" data-line-number="2"><span class="kw">library</span>(edgeR)</a>
+<a class="sourceLine" id="cb569-3" data-line-number="3"><span class="kw">library</span>(monocle)</a>
+<a class="sourceLine" id="cb569-4" data-line-number="4"><span class="kw">library</span>(MAST)</a>
+<a class="sourceLine" id="cb569-5" data-line-number="5"><span class="kw">library</span>(ROCR)</a>
+<a class="sourceLine" id="cb569-6" data-line-number="6"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a></code></pre></div>
<div id="introduction-8" class="section level3">
<h3><span class="header-section-number">12.2.1</span> Introduction</h3>
<p>To test different single-cell differential expression methods we will be using the Blischak dataset from Chapters 7-17.
For this experiment bulk RNA-seq data for each cell-line was generated in addition to single-cell data. We will use the
differentially expressed genes identified using standard methods on the respective bulk data as the ground truth for evaluating the
accuracy of each single-cell method. To save time we have pre-computed these for you. You can run the commands below to load these data.</p>
-<div class="sourceCode" id="cb799"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb799-1" data-line-number="1">DE <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/TPs.txt"</span>)</a>
-<a class="sourceLine" id="cb799-2" data-line-number="2">notDE <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/TNs.txt"</span>)</a>
-<a class="sourceLine" id="cb799-3" data-line-number="3">GroundTruth <-<span class="st"> </span><span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb799-4" data-line-number="4"> <span class="dt">DE =</span> <span class="kw">as.character</span>(<span class="kw">unlist</span>(DE)), </a>
-<a class="sourceLine" id="cb799-5" data-line-number="5"> <span class="dt">notDE =</span> <span class="kw">as.character</span>(<span class="kw">unlist</span>(notDE))</a>
-<a class="sourceLine" id="cb799-6" data-line-number="6">)</a></code></pre></div>
+<div class="sourceCode" id="cb570"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb570-1" data-line-number="1">DE <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/TPs.txt"</span>)</a>
+<a class="sourceLine" id="cb570-2" data-line-number="2">notDE <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/TNs.txt"</span>)</a>
+<a class="sourceLine" id="cb570-3" data-line-number="3">GroundTruth <-<span class="st"> </span><span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb570-4" data-line-number="4"> <span class="dt">DE =</span> <span class="kw">as.character</span>(<span class="kw">unlist</span>(DE)), </a>
+<a class="sourceLine" id="cb570-5" data-line-number="5"> <span class="dt">notDE =</span> <span class="kw">as.character</span>(<span class="kw">unlist</span>(notDE))</a>
+<a class="sourceLine" id="cb570-6" data-line-number="6">)</a></code></pre></div>
<p>This ground truth has been produce for the comparison of individual NA19101 to NA19239. Now load the respective single-cell data:</p>
-<div class="sourceCode" id="cb800"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb800-1" data-line-number="1">molecules <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/molecules.txt"</span>, <span class="dt">sep =</span> <span class="st">"</span><span class="ch">\t</span><span class="st">"</span>)</a>
-<a class="sourceLine" id="cb800-2" data-line-number="2">anno <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/annotation.txt"</span>, <span class="dt">sep =</span> <span class="st">"</span><span class="ch">\t</span><span class="st">"</span>, <span class="dt">header =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb800-3" data-line-number="3">keep <-<span class="st"> </span>anno[,<span class="dv">1</span>] <span class="op">==</span><span class="st"> "NA19101"</span> <span class="op">|</span><span class="st"> </span>anno[,<span class="dv">1</span>] <span class="op">==</span><span class="st"> "NA19239"</span></a>
-<a class="sourceLine" id="cb800-4" data-line-number="4">data <-<span class="st"> </span>molecules[,keep]</a>
-<a class="sourceLine" id="cb800-5" data-line-number="5">group <-<span class="st"> </span>anno[keep,<span class="dv">1</span>]</a>
-<a class="sourceLine" id="cb800-6" data-line-number="6">batch <-<span class="st"> </span>anno[keep,<span class="dv">4</span>]</a>
-<a class="sourceLine" id="cb800-7" data-line-number="7"><span class="co"># remove genes that aren't expressed in at least 6 cells</span></a>
-<a class="sourceLine" id="cb800-8" data-line-number="8">gkeep <-<span class="st"> </span><span class="kw">rowSums</span>(data <span class="op">></span><span class="st"> </span><span class="dv">0</span>) <span class="op">></span><span class="st"> </span><span class="dv">5</span>;</a>
-<a class="sourceLine" id="cb800-9" data-line-number="9">counts <-<span class="st"> </span>data[gkeep,]</a>
-<a class="sourceLine" id="cb800-10" data-line-number="10"><span class="co"># Library size normalization</span></a>
-<a class="sourceLine" id="cb800-11" data-line-number="11">lib_size =<span class="st"> </span><span class="kw">colSums</span>(counts)</a>
-<a class="sourceLine" id="cb800-12" data-line-number="12">norm <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">t</span>(counts)<span class="op">/</span>lib_size <span class="op">*</span><span class="st"> </span><span class="kw">median</span>(lib_size)) </a>
-<a class="sourceLine" id="cb800-13" data-line-number="13"><span class="co"># Variant of CPM for datasets with library sizes of fewer than 1 mil molecules</span></a></code></pre></div>
+<div class="sourceCode" id="cb571"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb571-1" data-line-number="1">molecules <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/molecules.txt"</span>, <span class="dt">sep =</span> <span class="st">"</span><span class="ch">\t</span><span class="st">"</span>)</a>
+<a class="sourceLine" id="cb571-2" data-line-number="2">anno <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"data/tung/annotation.txt"</span>, <span class="dt">sep =</span> <span class="st">"</span><span class="ch">\t</span><span class="st">"</span>, <span class="dt">header =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb571-3" data-line-number="3">keep <-<span class="st"> </span>anno[,<span class="dv">1</span>] <span class="op">==</span><span class="st"> "NA19101"</span> <span class="op">|</span><span class="st"> </span>anno[,<span class="dv">1</span>] <span class="op">==</span><span class="st"> "NA19239"</span></a>
+<a class="sourceLine" id="cb571-4" data-line-number="4">data <-<span class="st"> </span>molecules[,keep]</a>
+<a class="sourceLine" id="cb571-5" data-line-number="5">group <-<span class="st"> </span>anno[keep,<span class="dv">1</span>]</a>
+<a class="sourceLine" id="cb571-6" data-line-number="6">batch <-<span class="st"> </span>anno[keep,<span class="dv">4</span>]</a>
+<a class="sourceLine" id="cb571-7" data-line-number="7"><span class="co"># remove genes that aren't expressed in at least 6 cells</span></a>
+<a class="sourceLine" id="cb571-8" data-line-number="8">gkeep <-<span class="st"> </span><span class="kw">rowSums</span>(data <span class="op">></span><span class="st"> </span><span class="dv">0</span>) <span class="op">></span><span class="st"> </span><span class="dv">5</span>;</a>
+<a class="sourceLine" id="cb571-9" data-line-number="9">counts <-<span class="st"> </span>data[gkeep,]</a>
+<a class="sourceLine" id="cb571-10" data-line-number="10"><span class="co"># Library size normalization</span></a>
+<a class="sourceLine" id="cb571-11" data-line-number="11">lib_size =<span class="st"> </span><span class="kw">colSums</span>(counts)</a>
+<a class="sourceLine" id="cb571-12" data-line-number="12">norm <-<span class="st"> </span><span class="kw">t</span>(<span class="kw">t</span>(counts)<span class="op">/</span>lib_size <span class="op">*</span><span class="st"> </span><span class="kw">median</span>(lib_size)) </a>
+<a class="sourceLine" id="cb571-13" data-line-number="13"><span class="co"># Variant of CPM for datasets with library sizes of fewer than 1 mil molecules</span></a></code></pre></div>
<p>Now we will compare various single-cell DE methods. We will focus on methods
that performed well in Soneson and Robinson’s [2019; CITE] detailed comparison
of differential expression methods for single-cell data. Note that we will only
@@ -664,74 +755,74 @@ number of identical values (eg. zeros). Another issue with the KS-test is that
it can be very sensitive for large sample sizes and thus it may end up as
significant even though the magnitude of the difference is very small.</p>
<p>Now run the test:</p>
-<div class="sourceCode" id="cb801"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb801-1" data-line-number="1">pVals <-<span class="st"> </span><span class="kw">apply</span>(</a>
-<a class="sourceLine" id="cb801-2" data-line-number="2"> norm, <span class="dv">1</span>, <span class="cf">function</span>(x) {</a>
-<a class="sourceLine" id="cb801-3" data-line-number="3"> <span class="kw">ks.test</span>(</a>
-<a class="sourceLine" id="cb801-4" data-line-number="4"> x[group <span class="op">==</span><span class="st"> "NA19101"</span>], </a>
-<a class="sourceLine" id="cb801-5" data-line-number="5"> x[group <span class="op">==</span><span class="st"> "NA19239"</span>]</a>
-<a class="sourceLine" id="cb801-6" data-line-number="6"> )<span class="op">$</span>p.value</a>
-<a class="sourceLine" id="cb801-7" data-line-number="7"> }</a>
-<a class="sourceLine" id="cb801-8" data-line-number="8">)</a>
-<a class="sourceLine" id="cb801-9" data-line-number="9"><span class="co"># multiple testing correction</span></a>
-<a class="sourceLine" id="cb801-10" data-line-number="10">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb572"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb572-1" data-line-number="1">pVals <-<span class="st"> </span><span class="kw">apply</span>(</a>
+<a class="sourceLine" id="cb572-2" data-line-number="2"> norm, <span class="dv">1</span>, <span class="cf">function</span>(x) {</a>
+<a class="sourceLine" id="cb572-3" data-line-number="3"> <span class="kw">ks.test</span>(</a>
+<a class="sourceLine" id="cb572-4" data-line-number="4"> x[group <span class="op">==</span><span class="st"> "NA19101"</span>], </a>
+<a class="sourceLine" id="cb572-5" data-line-number="5"> x[group <span class="op">==</span><span class="st"> "NA19239"</span>]</a>
+<a class="sourceLine" id="cb572-6" data-line-number="6"> )<span class="op">$</span>p.value</a>
+<a class="sourceLine" id="cb572-7" data-line-number="7"> }</a>
+<a class="sourceLine" id="cb572-8" data-line-number="8">)</a>
+<a class="sourceLine" id="cb572-9" data-line-number="9"><span class="co"># multiple testing correction</span></a>
+<a class="sourceLine" id="cb572-10" data-line-number="10">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a></code></pre></div>
<p>This code “applies†the function to each row (specified by 1) of the expression matrix, data. In the function we are returning just the p.value from the ks.test output. We can now consider how many of the ground truth positive and negative DE genes are detected by the KS-test:</p>
<div id="evaluating-accuracy" class="section level4">
<h4><span class="header-section-number">12.2.2.1</span> Evaluating Accuracy</h4>
-<div class="sourceCode" id="cb802"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb802-1" data-line-number="1">sigDE <-<span class="st"> </span><span class="kw">names</span>(pVals)[pVals <span class="op"><</span><span class="st"> </span><span class="fl">0.05</span>]</a>
-<a class="sourceLine" id="cb802-2" data-line-number="2"><span class="kw">length</span>(sigDE) </a>
-<a class="sourceLine" id="cb802-3" data-line-number="3"><span class="co"># Number of KS-DE genes</span></a>
-<a class="sourceLine" id="cb802-4" data-line-number="4"><span class="kw">sum</span>(GroundTruth<span class="op">$</span>DE <span class="op">%in%</span><span class="st"> </span>sigDE) </a>
-<a class="sourceLine" id="cb802-5" data-line-number="5"><span class="co"># Number of KS-DE genes that are true DE genes</span></a>
-<a class="sourceLine" id="cb802-6" data-line-number="6"><span class="kw">sum</span>(GroundTruth<span class="op">$</span>notDE <span class="op">%in%</span><span class="st"> </span>sigDE)</a>
-<a class="sourceLine" id="cb802-7" data-line-number="7"><span class="co"># Number of KS-DE genes that are truly not-DE</span></a></code></pre></div>
+<div class="sourceCode" id="cb573"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb573-1" data-line-number="1">sigDE <-<span class="st"> </span><span class="kw">names</span>(pVals)[pVals <span class="op"><</span><span class="st"> </span><span class="fl">0.05</span>]</a>
+<a class="sourceLine" id="cb573-2" data-line-number="2"><span class="kw">length</span>(sigDE) </a>
+<a class="sourceLine" id="cb573-3" data-line-number="3"><span class="co"># Number of KS-DE genes</span></a>
+<a class="sourceLine" id="cb573-4" data-line-number="4"><span class="kw">sum</span>(GroundTruth<span class="op">$</span>DE <span class="op">%in%</span><span class="st"> </span>sigDE) </a>
+<a class="sourceLine" id="cb573-5" data-line-number="5"><span class="co"># Number of KS-DE genes that are true DE genes</span></a>
+<a class="sourceLine" id="cb573-6" data-line-number="6"><span class="kw">sum</span>(GroundTruth<span class="op">$</span>notDE <span class="op">%in%</span><span class="st"> </span>sigDE)</a>
+<a class="sourceLine" id="cb573-7" data-line-number="7"><span class="co"># Number of KS-DE genes that are truly not-DE</span></a></code></pre></div>
<p>As you can see many more of our ground truth negative genes were identified as DE by the KS-test (false positives) than ground truth positive genes (true positives), however this may be due to the larger number of notDE genes thus we typically normalize these counts as the True positive rate (TPR), TP/(TP + FN), and False positive rate (FPR), FP/(FP+TP).</p>
-<div class="sourceCode" id="cb803"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb803-1" data-line-number="1">tp <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>DE <span class="op">%in%</span><span class="st"> </span>sigDE)</a>
-<a class="sourceLine" id="cb803-2" data-line-number="2">fp <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>notDE <span class="op">%in%</span><span class="st"> </span>sigDE)</a>
-<a class="sourceLine" id="cb803-3" data-line-number="3">tn <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>notDE <span class="op">%in%</span><span class="st"> </span><span class="kw">names</span>(pVals)[pVals <span class="op">>=</span><span class="st"> </span><span class="fl">0.05</span>])</a>
-<a class="sourceLine" id="cb803-4" data-line-number="4">fn <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>DE <span class="op">%in%</span><span class="st"> </span><span class="kw">names</span>(pVals)[pVals <span class="op">>=</span><span class="st"> </span><span class="fl">0.05</span>])</a>
-<a class="sourceLine" id="cb803-5" data-line-number="5">tpr <-<span class="st"> </span>tp<span class="op">/</span>(tp <span class="op">+</span><span class="st"> </span>fn)</a>
-<a class="sourceLine" id="cb803-6" data-line-number="6">fpr <-<span class="st"> </span>fp<span class="op">/</span>(fp <span class="op">+</span><span class="st"> </span>tn)</a>
-<a class="sourceLine" id="cb803-7" data-line-number="7"><span class="kw">cat</span>(<span class="kw">c</span>(tpr, fpr))</a></code></pre></div>
+<div class="sourceCode" id="cb574"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb574-1" data-line-number="1">tp <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>DE <span class="op">%in%</span><span class="st"> </span>sigDE)</a>
+<a class="sourceLine" id="cb574-2" data-line-number="2">fp <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>notDE <span class="op">%in%</span><span class="st"> </span>sigDE)</a>
+<a class="sourceLine" id="cb574-3" data-line-number="3">tn <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>notDE <span class="op">%in%</span><span class="st"> </span><span class="kw">names</span>(pVals)[pVals <span class="op">>=</span><span class="st"> </span><span class="fl">0.05</span>])</a>
+<a class="sourceLine" id="cb574-4" data-line-number="4">fn <-<span class="st"> </span><span class="kw">sum</span>(GroundTruth<span class="op">$</span>DE <span class="op">%in%</span><span class="st"> </span><span class="kw">names</span>(pVals)[pVals <span class="op">>=</span><span class="st"> </span><span class="fl">0.05</span>])</a>
+<a class="sourceLine" id="cb574-5" data-line-number="5">tpr <-<span class="st"> </span>tp<span class="op">/</span>(tp <span class="op">+</span><span class="st"> </span>fn)</a>
+<a class="sourceLine" id="cb574-6" data-line-number="6">fpr <-<span class="st"> </span>fp<span class="op">/</span>(fp <span class="op">+</span><span class="st"> </span>tn)</a>
+<a class="sourceLine" id="cb574-7" data-line-number="7"><span class="kw">cat</span>(<span class="kw">c</span>(tpr, fpr))</a></code></pre></div>
<p>Now we can see the TPR is much higher than the FPR indicating the KS test is identifying DE genes.</p>
<p>So far we’ve only evaluated the performance at a single significance threshold. Often it is informative to vary the threshold and evaluate performance across a range of values. This is then plotted as a receiver-operating-characteristic curve (ROC) and a general accuracy statistic can be calculated as the area under this curve (AUC). We will use the ROCR package to facilitate this plotting.</p>
-<div class="sourceCode" id="cb804"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb804-1" data-line-number="1"><span class="co"># Only consider genes for which we know the ground truth</span></a>
-<a class="sourceLine" id="cb804-2" data-line-number="2">pVals <-<span class="st"> </span>pVals[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE <span class="op">|</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb804-3" data-line-number="3"><span class="st"> </span><span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>notDE] </a>
-<a class="sourceLine" id="cb804-4" data-line-number="4">truth <-<span class="st"> </span><span class="kw">rep</span>(<span class="dv">1</span>, <span class="dt">times =</span> <span class="kw">length</span>(pVals));</a>
-<a class="sourceLine" id="cb804-5" data-line-number="5">truth[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE] =<span class="st"> </span><span class="dv">0</span>;</a>
-<a class="sourceLine" id="cb804-6" data-line-number="6">pred <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">prediction</span>(pVals, truth)</a>
-<a class="sourceLine" id="cb804-7" data-line-number="7">perf <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"tpr"</span>, <span class="st">"fpr"</span>)</a>
-<a class="sourceLine" id="cb804-8" data-line-number="8">ROCR<span class="op">::</span><span class="kw">plot</span>(perf)</a>
-<a class="sourceLine" id="cb804-9" data-line-number="9">aucObj <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"auc"</span>)</a>
-<a class="sourceLine" id="cb804-10" data-line-number="10">aucObj<span class="op">@</span>y.values[[<span class="dv">1</span>]] <span class="co"># AUC</span></a></code></pre></div>
+<div class="sourceCode" id="cb575"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb575-1" data-line-number="1"><span class="co"># Only consider genes for which we know the ground truth</span></a>
+<a class="sourceLine" id="cb575-2" data-line-number="2">pVals <-<span class="st"> </span>pVals[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE <span class="op">|</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb575-3" data-line-number="3"><span class="st"> </span><span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>notDE] </a>
+<a class="sourceLine" id="cb575-4" data-line-number="4">truth <-<span class="st"> </span><span class="kw">rep</span>(<span class="dv">1</span>, <span class="dt">times =</span> <span class="kw">length</span>(pVals));</a>
+<a class="sourceLine" id="cb575-5" data-line-number="5">truth[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE] =<span class="st"> </span><span class="dv">0</span>;</a>
+<a class="sourceLine" id="cb575-6" data-line-number="6">pred <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">prediction</span>(pVals, truth)</a>
+<a class="sourceLine" id="cb575-7" data-line-number="7">perf <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"tpr"</span>, <span class="st">"fpr"</span>)</a>
+<a class="sourceLine" id="cb575-8" data-line-number="8">ROCR<span class="op">::</span><span class="kw">plot</span>(perf)</a>
+<a class="sourceLine" id="cb575-9" data-line-number="9">aucObj <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"auc"</span>)</a>
+<a class="sourceLine" id="cb575-10" data-line-number="10">aucObj<span class="op">@</span>y.values[[<span class="dv">1</span>]] <span class="co"># AUC</span></a></code></pre></div>
<p>Finally to facilitate the comparisons of other DE methods let’s put this code into a function so we don’t need to repeat it:</p>
-<div class="sourceCode" id="cb805"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb805-1" data-line-number="1">DE_Quality_AUC <-<span class="st"> </span><span class="cf">function</span>(pVals) {</a>
-<a class="sourceLine" id="cb805-2" data-line-number="2"> pVals <-<span class="st"> </span>pVals[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE <span class="op">|</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb805-3" data-line-number="3"><span class="st"> </span><span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>notDE]</a>
-<a class="sourceLine" id="cb805-4" data-line-number="4"> truth <-<span class="st"> </span><span class="kw">rep</span>(<span class="dv">1</span>, <span class="dt">times =</span> <span class="kw">length</span>(pVals));</a>
-<a class="sourceLine" id="cb805-5" data-line-number="5"> truth[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE] =<span class="st"> </span><span class="dv">0</span>;</a>
-<a class="sourceLine" id="cb805-6" data-line-number="6"> pred <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">prediction</span>(pVals, truth)</a>
-<a class="sourceLine" id="cb805-7" data-line-number="7"> perf <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"tpr"</span>, <span class="st">"fpr"</span>)</a>
-<a class="sourceLine" id="cb805-8" data-line-number="8"> ROCR<span class="op">::</span><span class="kw">plot</span>(perf)</a>
-<a class="sourceLine" id="cb805-9" data-line-number="9"> aucObj <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"auc"</span>)</a>
-<a class="sourceLine" id="cb805-10" data-line-number="10"> <span class="kw">return</span>(aucObj<span class="op">@</span>y.values[[<span class="dv">1</span>]])</a>
-<a class="sourceLine" id="cb805-11" data-line-number="11">}</a></code></pre></div>
+<div class="sourceCode" id="cb576"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb576-1" data-line-number="1">DE_Quality_AUC <-<span class="st"> </span><span class="cf">function</span>(pVals) {</a>
+<a class="sourceLine" id="cb576-2" data-line-number="2"> pVals <-<span class="st"> </span>pVals[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE <span class="op">|</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb576-3" data-line-number="3"><span class="st"> </span><span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>notDE]</a>
+<a class="sourceLine" id="cb576-4" data-line-number="4"> truth <-<span class="st"> </span><span class="kw">rep</span>(<span class="dv">1</span>, <span class="dt">times =</span> <span class="kw">length</span>(pVals));</a>
+<a class="sourceLine" id="cb576-5" data-line-number="5"> truth[<span class="kw">names</span>(pVals) <span class="op">%in%</span><span class="st"> </span>GroundTruth<span class="op">$</span>DE] =<span class="st"> </span><span class="dv">0</span>;</a>
+<a class="sourceLine" id="cb576-6" data-line-number="6"> pred <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">prediction</span>(pVals, truth)</a>
+<a class="sourceLine" id="cb576-7" data-line-number="7"> perf <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"tpr"</span>, <span class="st">"fpr"</span>)</a>
+<a class="sourceLine" id="cb576-8" data-line-number="8"> ROCR<span class="op">::</span><span class="kw">plot</span>(perf)</a>
+<a class="sourceLine" id="cb576-9" data-line-number="9"> aucObj <-<span class="st"> </span>ROCR<span class="op">::</span><span class="kw">performance</span>(pred, <span class="st">"auc"</span>)</a>
+<a class="sourceLine" id="cb576-10" data-line-number="10"> <span class="kw">return</span>(aucObj<span class="op">@</span>y.values[[<span class="dv">1</span>]])</a>
+<a class="sourceLine" id="cb576-11" data-line-number="11">}</a></code></pre></div>
</div>
</div>
<div id="wilcoxmann-whitney-u-test" class="section level3">
<h3><span class="header-section-number">12.2.3</span> Wilcox/Mann-Whitney-U Test</h3>
<p>The Wilcox-rank-sum test is another non-parametric test, but tests specifically if values in one group are greater/less than the values in the other group. Thus it is often considered a test for difference in median expression between two groups; whereas the KS-test is sensitive to any change in distribution of expression values.</p>
-<div class="sourceCode" id="cb806"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb806-1" data-line-number="1">pVals <-<span class="st"> </span><span class="kw">apply</span>(</a>
-<a class="sourceLine" id="cb806-2" data-line-number="2"> norm, <span class="dv">1</span>, <span class="cf">function</span>(x) {</a>
-<a class="sourceLine" id="cb806-3" data-line-number="3"> <span class="kw">wilcox.test</span>(</a>
-<a class="sourceLine" id="cb806-4" data-line-number="4"> x[group <span class="op">==</span><span class="st"> "NA19101"</span>], </a>
-<a class="sourceLine" id="cb806-5" data-line-number="5"> x[group <span class="op">==</span><span class="st"> "NA19239"</span>]</a>
-<a class="sourceLine" id="cb806-6" data-line-number="6"> )<span class="op">$</span>p.value</a>
-<a class="sourceLine" id="cb806-7" data-line-number="7"> }</a>
-<a class="sourceLine" id="cb806-8" data-line-number="8">)</a>
-<a class="sourceLine" id="cb806-9" data-line-number="9"><span class="co"># multiple testing correction</span></a>
-<a class="sourceLine" id="cb806-10" data-line-number="10">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a>
-<a class="sourceLine" id="cb806-11" data-line-number="11"><span class="kw">DE_Quality_AUC</span>(pVals)</a></code></pre></div>
+<div class="sourceCode" id="cb577"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb577-1" data-line-number="1">pVals <-<span class="st"> </span><span class="kw">apply</span>(</a>
+<a class="sourceLine" id="cb577-2" data-line-number="2"> norm, <span class="dv">1</span>, <span class="cf">function</span>(x) {</a>
+<a class="sourceLine" id="cb577-3" data-line-number="3"> <span class="kw">wilcox.test</span>(</a>
+<a class="sourceLine" id="cb577-4" data-line-number="4"> x[group <span class="op">==</span><span class="st"> "NA19101"</span>], </a>
+<a class="sourceLine" id="cb577-5" data-line-number="5"> x[group <span class="op">==</span><span class="st"> "NA19239"</span>]</a>
+<a class="sourceLine" id="cb577-6" data-line-number="6"> )<span class="op">$</span>p.value</a>
+<a class="sourceLine" id="cb577-7" data-line-number="7"> }</a>
+<a class="sourceLine" id="cb577-8" data-line-number="8">)</a>
+<a class="sourceLine" id="cb577-9" data-line-number="9"><span class="co"># multiple testing correction</span></a>
+<a class="sourceLine" id="cb577-10" data-line-number="10">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a>
+<a class="sourceLine" id="cb577-11" data-line-number="11"><span class="kw">DE_Quality_AUC</span>(pVals)</a></code></pre></div>
</div>
<div id="edger" class="section level3">
<h3><span class="header-section-number">12.2.4</span> edgeR</h3>
@@ -739,21 +830,21 @@ significant even though the magnitude of the difference is very small.</p>
<a href="#dealing-with-confounders"><strong>??</strong></a>. edgeR is based on a negative binomial model of
gene expression and uses a generalized linear model (GLM) framework, the enables
us to include other factors such as batch to the model.</p>
-<div class="sourceCode" id="cb807"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb807-1" data-line-number="1">dge <-<span class="st"> </span><span class="kw">DGEList</span>(</a>
-<a class="sourceLine" id="cb807-2" data-line-number="2"> <span class="dt">counts =</span> counts, </a>
-<a class="sourceLine" id="cb807-3" data-line-number="3"> <span class="dt">norm.factors =</span> <span class="kw">rep</span>(<span class="dv">1</span>, <span class="kw">length</span>(counts[<span class="dv">1</span>,])), </a>
-<a class="sourceLine" id="cb807-4" data-line-number="4"> <span class="dt">group =</span> group</a>
-<a class="sourceLine" id="cb807-5" data-line-number="5">)</a>
-<a class="sourceLine" id="cb807-6" data-line-number="6">group_edgeR <-<span class="st"> </span><span class="kw">factor</span>(group)</a>
-<a class="sourceLine" id="cb807-7" data-line-number="7">design <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>group_edgeR)</a>
-<a class="sourceLine" id="cb807-8" data-line-number="8">dge <-<span class="st"> </span><span class="kw">estimateDisp</span>(dge, <span class="dt">design =</span> design, <span class="dt">trend.method =</span> <span class="st">"none"</span>)</a>
-<a class="sourceLine" id="cb807-9" data-line-number="9">fit <-<span class="st"> </span><span class="kw">glmFit</span>(dge, design)</a>
-<a class="sourceLine" id="cb807-10" data-line-number="10">res <-<span class="st"> </span><span class="kw">glmLRT</span>(fit)</a>
-<a class="sourceLine" id="cb807-11" data-line-number="11">pVals <-<span class="st"> </span>res<span class="op">$</span>table[,<span class="dv">4</span>]</a>
-<a class="sourceLine" id="cb807-12" data-line-number="12"><span class="kw">names</span>(pVals) <-<span class="st"> </span><span class="kw">rownames</span>(res<span class="op">$</span>table)</a>
-<a class="sourceLine" id="cb807-13" data-line-number="13"></a>
-<a class="sourceLine" id="cb807-14" data-line-number="14">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a>
-<a class="sourceLine" id="cb807-15" data-line-number="15"><span class="kw">DE_Quality_AUC</span>(pVals)</a></code></pre></div>
+<div class="sourceCode" id="cb578"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb578-1" data-line-number="1">dge <-<span class="st"> </span><span class="kw">DGEList</span>(</a>
+<a class="sourceLine" id="cb578-2" data-line-number="2"> <span class="dt">counts =</span> counts, </a>
+<a class="sourceLine" id="cb578-3" data-line-number="3"> <span class="dt">norm.factors =</span> <span class="kw">rep</span>(<span class="dv">1</span>, <span class="kw">length</span>(counts[<span class="dv">1</span>,])), </a>
+<a class="sourceLine" id="cb578-4" data-line-number="4"> <span class="dt">group =</span> group</a>
+<a class="sourceLine" id="cb578-5" data-line-number="5">)</a>
+<a class="sourceLine" id="cb578-6" data-line-number="6">group_edgeR <-<span class="st"> </span><span class="kw">factor</span>(group)</a>
+<a class="sourceLine" id="cb578-7" data-line-number="7">design <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>group_edgeR)</a>
+<a class="sourceLine" id="cb578-8" data-line-number="8">dge <-<span class="st"> </span><span class="kw">estimateDisp</span>(dge, <span class="dt">design =</span> design, <span class="dt">trend.method =</span> <span class="st">"none"</span>)</a>
+<a class="sourceLine" id="cb578-9" data-line-number="9">fit <-<span class="st"> </span><span class="kw">glmFit</span>(dge, design)</a>
+<a class="sourceLine" id="cb578-10" data-line-number="10">res <-<span class="st"> </span><span class="kw">glmLRT</span>(fit)</a>
+<a class="sourceLine" id="cb578-11" data-line-number="11">pVals <-<span class="st"> </span>res<span class="op">$</span>table[,<span class="dv">4</span>]</a>
+<a class="sourceLine" id="cb578-12" data-line-number="12"><span class="kw">names</span>(pVals) <-<span class="st"> </span><span class="kw">rownames</span>(res<span class="op">$</span>table)</a>
+<a class="sourceLine" id="cb578-13" data-line-number="13"></a>
+<a class="sourceLine" id="cb578-14" data-line-number="14">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a>
+<a class="sourceLine" id="cb578-15" data-line-number="15"><span class="kw">DE_Quality_AUC</span>(pVals)</a></code></pre></div>
</div>
<div id="mast" class="section level3">
<h3><span class="header-section-number">12.2.5</span> MAST</h3>
@@ -762,27 +853,27 @@ on a zero-inflated negative binomial model. It tests for differential expression
using a hurdle model to combine tests of discrete (0 vs not zero) and continuous
(non-zero values) aspects of gene expression. Again this uses a linear modelling
framework to enable complex models to be considered.</p>
-<div class="sourceCode" id="cb808"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb808-1" data-line-number="1">log_counts <-<span class="st"> </span><span class="kw">log</span>(counts <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="kw">log</span>(<span class="dv">2</span>)</a>
-<a class="sourceLine" id="cb808-2" data-line-number="2">fData <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">names =</span> <span class="kw">rownames</span>(log_counts))</a>
-<a class="sourceLine" id="cb808-3" data-line-number="3"><span class="kw">rownames</span>(fData) <-<span class="st"> </span><span class="kw">rownames</span>(log_counts);</a>
-<a class="sourceLine" id="cb808-4" data-line-number="4">cData <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">cond =</span> group)</a>
-<a class="sourceLine" id="cb808-5" data-line-number="5"><span class="kw">rownames</span>(cData) <-<span class="st"> </span><span class="kw">colnames</span>(log_counts)</a>
-<a class="sourceLine" id="cb808-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb808-7" data-line-number="7">obj <-<span class="st"> </span><span class="kw">FromMatrix</span>(<span class="kw">as.matrix</span>(log_counts), cData, fData)</a>
-<a class="sourceLine" id="cb808-8" data-line-number="8"><span class="kw">colData</span>(obj)<span class="op">$</span>cngeneson <-<span class="st"> </span><span class="kw">scale</span>(<span class="kw">colSums</span>(<span class="kw">assay</span>(obj) <span class="op">></span><span class="st"> </span><span class="dv">0</span>))</a>
-<a class="sourceLine" id="cb808-9" data-line-number="9">cond <-<span class="st"> </span><span class="kw">factor</span>(<span class="kw">colData</span>(obj)<span class="op">$</span>cond)</a>
-<a class="sourceLine" id="cb808-10" data-line-number="10"></a>
-<a class="sourceLine" id="cb808-11" data-line-number="11"><span class="co"># Model expression as function of condition & number of detected genes</span></a>
-<a class="sourceLine" id="cb808-12" data-line-number="12">zlmCond <-<span class="st"> </span><span class="kw">zlm.SingleCellAssay</span>(<span class="op">~</span><span class="st"> </span>cond <span class="op">+</span><span class="st"> </span>cngeneson, obj) </a>
-<a class="sourceLine" id="cb808-13" data-line-number="13"></a>
-<a class="sourceLine" id="cb808-14" data-line-number="14">summaryCond <-<span class="st"> </span><span class="kw">summary</span>(zlmCond, <span class="dt">doLRT =</span> <span class="st">"condNA19101"</span>)</a>
-<a class="sourceLine" id="cb808-15" data-line-number="15">summaryDt <-<span class="st"> </span>summaryCond<span class="op">$</span>datatable</a>
-<a class="sourceLine" id="cb808-16" data-line-number="16"></a>
-<a class="sourceLine" id="cb808-17" data-line-number="17">summaryDt <-<span class="st"> </span><span class="kw">as.data.frame</span>(summaryDt)</a>
-<a class="sourceLine" id="cb808-18" data-line-number="18">pVals <-<span class="st"> </span><span class="kw">unlist</span>(summaryDt[summaryDt<span class="op">$</span>component <span class="op">==</span><span class="st"> "H"</span>,<span class="dv">4</span>]) <span class="co"># H = hurdle model</span></a>
-<a class="sourceLine" id="cb808-19" data-line-number="19"><span class="kw">names</span>(pVals) <-<span class="st"> </span><span class="kw">unlist</span>(summaryDt[summaryDt<span class="op">$</span>component <span class="op">==</span><span class="st"> "H"</span>,<span class="dv">1</span>])</a>
-<a class="sourceLine" id="cb808-20" data-line-number="20">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a>
-<a class="sourceLine" id="cb808-21" data-line-number="21"><span class="kw">DE_Quality_AUC</span>(pVals)</a></code></pre></div>
+<div class="sourceCode" id="cb579"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb579-1" data-line-number="1">log_counts <-<span class="st"> </span><span class="kw">log</span>(counts <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="kw">log</span>(<span class="dv">2</span>)</a>
+<a class="sourceLine" id="cb579-2" data-line-number="2">fData <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">names =</span> <span class="kw">rownames</span>(log_counts))</a>
+<a class="sourceLine" id="cb579-3" data-line-number="3"><span class="kw">rownames</span>(fData) <-<span class="st"> </span><span class="kw">rownames</span>(log_counts);</a>
+<a class="sourceLine" id="cb579-4" data-line-number="4">cData <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">cond =</span> group)</a>
+<a class="sourceLine" id="cb579-5" data-line-number="5"><span class="kw">rownames</span>(cData) <-<span class="st"> </span><span class="kw">colnames</span>(log_counts)</a>
+<a class="sourceLine" id="cb579-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb579-7" data-line-number="7">obj <-<span class="st"> </span><span class="kw">FromMatrix</span>(<span class="kw">as.matrix</span>(log_counts), cData, fData)</a>
+<a class="sourceLine" id="cb579-8" data-line-number="8"><span class="kw">colData</span>(obj)<span class="op">$</span>cngeneson <-<span class="st"> </span><span class="kw">scale</span>(<span class="kw">colSums</span>(<span class="kw">assay</span>(obj) <span class="op">></span><span class="st"> </span><span class="dv">0</span>))</a>
+<a class="sourceLine" id="cb579-9" data-line-number="9">cond <-<span class="st"> </span><span class="kw">factor</span>(<span class="kw">colData</span>(obj)<span class="op">$</span>cond)</a>
+<a class="sourceLine" id="cb579-10" data-line-number="10"></a>
+<a class="sourceLine" id="cb579-11" data-line-number="11"><span class="co"># Model expression as function of condition & number of detected genes</span></a>
+<a class="sourceLine" id="cb579-12" data-line-number="12">zlmCond <-<span class="st"> </span><span class="kw">zlm.SingleCellAssay</span>(<span class="op">~</span><span class="st"> </span>cond <span class="op">+</span><span class="st"> </span>cngeneson, obj) </a>
+<a class="sourceLine" id="cb579-13" data-line-number="13"></a>
+<a class="sourceLine" id="cb579-14" data-line-number="14">summaryCond <-<span class="st"> </span><span class="kw">summary</span>(zlmCond, <span class="dt">doLRT =</span> <span class="st">"condNA19101"</span>)</a>
+<a class="sourceLine" id="cb579-15" data-line-number="15">summaryDt <-<span class="st"> </span>summaryCond<span class="op">$</span>datatable</a>
+<a class="sourceLine" id="cb579-16" data-line-number="16"></a>
+<a class="sourceLine" id="cb579-17" data-line-number="17">summaryDt <-<span class="st"> </span><span class="kw">as.data.frame</span>(summaryDt)</a>
+<a class="sourceLine" id="cb579-18" data-line-number="18">pVals <-<span class="st"> </span><span class="kw">unlist</span>(summaryDt[summaryDt<span class="op">$</span>component <span class="op">==</span><span class="st"> "H"</span>,<span class="dv">4</span>]) <span class="co"># H = hurdle model</span></a>
+<a class="sourceLine" id="cb579-19" data-line-number="19"><span class="kw">names</span>(pVals) <-<span class="st"> </span><span class="kw">unlist</span>(summaryDt[summaryDt<span class="op">$</span>component <span class="op">==</span><span class="st"> "H"</span>,<span class="dv">1</span>])</a>
+<a class="sourceLine" id="cb579-20" data-line-number="20">pVals <-<span class="st"> </span><span class="kw">p.adjust</span>(pVals, <span class="dt">method =</span> <span class="st">"fdr"</span>)</a>
+<a class="sourceLine" id="cb579-21" data-line-number="21"><span class="kw">DE_Quality_AUC</span>(pVals)</a></code></pre></div>
</div>
<div id="limma" class="section level3">
<h3><span class="header-section-number">12.2.6</span> limma</h3>
@@ -795,6 +886,15 @@ framework to enable complex models to be considered.</p>
</div>
</div>
+</div>
+<h3> References</h3>
+<div id="refs" class="references">
+<div id="ref-Finak2015-ow">
+<p>Finak, Greg, Andrew McDavid, Masanao Yajima, Jingyuan Deng, Vivian Gersuk, Alex K Shalek, Chloe K Slichter, et al. 2015. “MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.†<em>Genome Biology</em> 16 (1): 1–13. <a href="https://doi.org/10.1186/s13059-015-0844-5">https://doi.org/10.1186/s13059-015-0844-5</a>.</p>
+</div>
+<div id="ref-Soneson2018-hy">
+<p>Soneson, Charlotte, and Mark D Robinson. 2018. “Bias, robustness and scalability in single-cell differential expression analysis.†<em>Nature Methods</em>, February. Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. <a href="https://doi.org/10.1038/nmeth.4612">https://doi.org/10.1038/nmeth.4612</a>.</p>
+</div>
</div>
</section>
diff --git a/public/exprs-norm-reads.md b/public/exprs-norm-reads.md
index 0e14a6e..82c2929 100644
--- a/public/exprs-norm-reads.md
+++ b/public/exprs-norm-reads.md
@@ -25,22 +25,6 @@ output: html_document
<p class="caption">(\#fig:norm-ours-rle-cpm-reads2)Cell-wise RLE of the tung data</p>
</div>
-
-```
-## Warning: Setting 'use.ranks=TRUE' for the old defaults.
-## Set 'use.ranks=FALSE' for the new defaults.
-```
-
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors
-```
-
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors
-```
-
<div class="figure" style="text-align: center">
<img src="exprs-norm-reads_files/figure-html/norm-pca-lsf-umi-1.png" alt="PCA plot of the tung data after LSF normalisation" width="90%" />
<p class="caption">(\#fig:norm-pca-lsf-umi)PCA plot of the tung data after LSF normalisation</p>
@@ -55,517 +39,6 @@ output: html_document
</div>
-```
-## Calculating cell attributes for input UMI matrix
-```
-
-```
-## Variance stabilizing transformation of count matrix of size 16062 by 606
-```
-
-```
-## Model formula is y ~ log10_total_counts_endogenous
-```
-
-```
-## Get Negative Binomial regression parameters per gene
-```
-
-```
-## Using 2000 genes, 606 cells
-```
-
-```
-##
|
| | 0%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-##
|
|======== | 12%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|================ | 25%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-##
|
|======================== | 38%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|================================ | 50%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-##
|
|========================================= | 62%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-##
|
|================================================= | 75%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|========================================================= | 88%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-##
|
|=================================================================| 100%
-```
-
-```
-## Found 1 outliers - those will be ignored in fitting/regularization step
-```
-
-```
-## Second step: Get residuals using fitted parameters for 16062 genes
-```
-
-```
-##
|
| | 0%
|
|= | 2%
|
|== | 3%
|
|=== | 5%
|
|==== | 6%
|
|===== | 8%
|
|====== | 10%
|
|======= | 11%
|
|======== | 13%
|
|========= | 14%
|
|========== | 16%
|
|=========== | 17%
|
|============ | 19%
|
|============= | 21%
|
|============== | 22%
|
|=============== | 24%
|
|================= | 25%
|
|================== | 27%
|
|=================== | 29%
|
|==================== | 30%
|
|===================== | 32%
|
|====================== | 33%
|
|======================= | 35%
|
|======================== | 37%
|
|========================= | 38%
|
|========================== | 40%
|
|=========================== | 41%
|
|============================ | 43%
|
|============================= | 44%
|
|============================== | 46%
|
|=============================== | 48%
|
|================================ | 49%
|
|================================= | 51%
|
|================================== | 52%
|
|=================================== | 54%
|
|==================================== | 56%
|
|===================================== | 57%
|
|====================================== | 59%
|
|======================================= | 60%
|
|======================================== | 62%
|
|========================================= | 63%
|
|========================================== | 65%
|
|=========================================== | 67%
|
|============================================ | 68%
|
|============================================= | 70%
|
|============================================== | 71%
|
|=============================================== | 73%
|
|================================================ | 75%
|
|================================================== | 76%
|
|=================================================== | 78%
|
|==================================================== | 79%
|
|===================================================== | 81%
|
|====================================================== | 83%
|
|======================================================= | 84%
|
|======================================================== | 86%
|
|========================================================= | 87%
|
|========================================================== | 89%
|
|=========================================================== | 90%
|
|============================================================ | 92%
|
|============================================================= | 94%
|
|============================================================== | 95%
|
|=============================================================== | 97%
|
|================================================================ | 98%
|
|=================================================================| 100%
-```
-
-```
-## Calculating gene attributes
-```
-
-```
-## Wall clock passed: Time difference of 16.15881 secs
-```
-
-```
-## [1] 16062 606
-```
-
-```
-## [1] 16062 606
-```
-
-```
-## [1] "y ~ log10_total_counts_endogenous"
-```
Let us look at the NB GLM model parameters estimated by sctransform.
@@ -596,21 +69,9 @@ genes, ACTB, POU5F1 (aka OCT4) and CD74.
-<div class="figure" style="text-align: center">
-<img src="exprs-norm-reads_files/figure-html/norm-pca-tpm-reads-1.png" alt="PCA plot of the tung data after TPM normalisation" width="90%" />
-<p class="caption">(\#fig:norm-pca-tpm-reads)PCA plot of the tung data after TPM normalisation</p>
-</div>
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors
-```
-```
-## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors
-```
@@ -647,52 +108,43 @@ genes, ACTB, POU5F1 (aka OCT4) and CD74.
## [15] scRNA.seq.funcs_0.1.0
##
## loaded via a namespace (and not attached):
-## [1] bitops_1.0-6 bit64_0.9-7
-## [3] httr_1.4.1 progress_1.2.2
-## [5] dynamicTreeCut_1.63-1 backports_1.1.4
-## [7] sctransform_0.2.0 tools_3.6.0
-## [9] R6_2.4.0 irlba_2.3.3
-## [11] hypergeo_1.2-13 vipor_0.4.5
-## [13] DBI_1.0.0 lazyeval_0.2.2
-## [15] colorspace_1.4-1 withr_2.1.2
-## [17] prettyunits_1.0.2 tidyselect_0.2.5
-## [19] gridExtra_2.3 moments_0.14
-## [21] curl_4.2 bit_1.1-14
-## [23] compiler_3.6.0 orthopolynom_1.0-5
-## [25] BiocNeighbors_1.2.0 labeling_0.3
-## [27] bookdown_0.13 scales_1.0.0
-## [29] stringr_1.4.0 digest_0.6.21
-## [31] rmarkdown_1.15 XVector_0.24.0
-## [33] pkgconfig_2.0.3 htmltools_0.3.6
-## [35] limma_3.40.6 highr_0.8
-## [37] rlang_0.4.0 RSQLite_2.1.2
-## [39] DelayedMatrixStats_1.6.1 dplyr_0.8.3
-## [41] RCurl_1.95-4.12 magrittr_1.5
-## [43] BiocSingular_1.0.0 GenomeInfoDbData_1.2.1
-## [45] Matrix_1.2-17 Rcpp_1.0.2
-## [47] ggbeeswarm_0.6.0 munsell_0.5.0
-## [49] viridis_0.5.1 stringi_1.4.3
-## [51] yaml_2.2.0 edgeR_3.26.8
-## [53] MASS_7.3-51.1 zlibbioc_1.30.0
-## [55] Rtsne_0.15 plyr_1.8.4
-## [57] blob_1.2.0 grid_3.6.0
-## [59] listenv_0.7.0 dqrng_0.2.1
-## [61] crayon_1.3.4 contfrac_1.1-12
-## [63] lattice_0.20-38 cowplot_1.0.0
-## [65] hms_0.5.1 locfit_1.5-9.1
-## [67] zeallot_0.1.0 knitr_1.25
-## [69] pillar_1.4.2 igraph_1.2.4.1
-## [71] future.apply_1.3.0 reshape2_1.4.3
-## [73] codetools_0.2-16 biomaRt_2.40.4
-## [75] XML_3.98-1.20 glue_1.3.1
-## [77] evaluate_0.14 deSolve_1.24
-## [79] vctrs_0.2.0 gtable_0.3.0
-## [81] purrr_0.3.2 future_1.14.0
-## [83] assertthat_0.2.1 xfun_0.9
-## [85] rsvd_1.0.2 viridisLite_0.3.0
-## [87] tibble_2.1.3 elliptic_1.4-0
-## [89] memoise_1.1.0 AnnotationDbi_1.46.1
-## [91] beeswarm_0.2.3 globals_0.12.4
-## [93] statmod_1.4.32
+## [1] viridis_0.5.1 dynamicTreeCut_1.63-1
+## [3] edgeR_3.26.8 BiocSingular_1.0.0
+## [5] viridisLite_0.3.0 DelayedMatrixStats_1.6.1
+## [7] elliptic_1.4-0 moments_0.14
+## [9] assertthat_0.2.1 statmod_1.4.32
+## [11] highr_0.8 dqrng_0.2.1
+## [13] GenomeInfoDbData_1.2.1 vipor_0.4.5
+## [15] yaml_2.2.0 globals_0.12.4
+## [17] pillar_1.4.2 lattice_0.20-38
+## [19] glue_1.3.1 limma_3.40.6
+## [21] digest_0.6.21 XVector_0.24.0
+## [23] colorspace_1.4-1 plyr_1.8.4
+## [25] cowplot_1.0.0 htmltools_0.3.6
+## [27] Matrix_1.2-17 pkgconfig_2.0.3
+## [29] listenv_0.7.0 bookdown_0.13
+## [31] zlibbioc_1.30.0 purrr_0.3.2
+## [33] scales_1.0.0 Rtsne_0.15
+## [35] tibble_2.1.3 withr_2.1.2
+## [37] lazyeval_0.2.2 magrittr_1.5
+## [39] crayon_1.3.4 evaluate_0.14
+## [41] future_1.14.0 MASS_7.3-51.1
+## [43] beeswarm_0.2.3 tools_3.6.0
+## [45] stringr_1.4.0 munsell_0.5.0
+## [47] locfit_1.5-9.1 irlba_2.3.3
+## [49] orthopolynom_1.0-5 compiler_3.6.0
+## [51] rsvd_1.0.2 contfrac_1.1-12
+## [53] rlang_0.4.0 grid_3.6.0
+## [55] RCurl_1.95-4.12 BiocNeighbors_1.2.0
+## [57] igraph_1.2.4.1 labeling_0.3
+## [59] bitops_1.0-6 rmarkdown_1.15
+## [61] codetools_0.2-16 hypergeo_1.2-13
+## [63] gtable_0.3.0 deSolve_1.24
+## [65] reshape2_1.4.3 R6_2.4.0
+## [67] gridExtra_2.3 knitr_1.25
+## [69] dplyr_0.8.3 future.apply_1.3.0
+## [71] stringi_1.4.3 ggbeeswarm_0.6.0
+## [73] Rcpp_1.0.2 sctransform_0.2.0
+## [75] tidyselect_0.2.5 xfun_0.9
```
diff --git a/public/exprs-norm.md b/public/exprs-norm.md
index 7002395..5400732 100644
--- a/public/exprs-norm.md
+++ b/public/exprs-norm.md
@@ -552,10 +552,6 @@ sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1,
latent_var = "log10_total_counts_endogenous")
```
-```
-##
|
| | 0%
|
|======== | 12%
|
|================ | 25%
|
|======================== | 38%
|
|================================ | 50%
|
|========================================= | 62%
|
|================================================= | 75%
|
|========================================================= | 88%
|
|=================================================================| 100%
-##
|
| | 0%
|
|= | 2%
|
|== | 4%
|
|==== | 5%
|
|===== | 7%
|
|====== | 9%
|
|======= | 11%
|
|======== | 13%
|
|========= | 15%
|
|=========== | 16%
|
|============ | 18%
|
|============= | 20%
|
|============== | 22%
|
|=============== | 24%
|
|================= | 25%
|
|================== | 27%
|
|=================== | 29%
|
|==================== | 31%
|
|===================== | 33%
|
|====================== | 35%
|
|======================== | 36%
|
|========================= | 38%
|
|========================== | 40%
|
|=========================== | 42%
|
|============================ | 44%
|
|============================== | 45%
|
|=============================== | 47%
|
|================================ | 49%
|
|================================= | 51%
|
|================================== | 53%
|
|=================================== | 55%
|
|===================================== | 56%
|
|====================================== | 58%
|
|======================================= | 60%
|
|======================================== | 62%
|
|========================================= | 64%
|
|=========================================== | 65%
|
|============================================ | 67%
|
|============================================= | 69%
|
|============================================== | 71%
|
|=============================================== | 73%
|
|================================================ | 75%
|
|================================================== | 76%
|
|=================================================== | 78%
|
|==================================================== | 80%
|
|===================================================== | 82%
|
|====================================================== | 84%
|
|======================================================== | 85%
|
|========================================================= | 87%
|
|========================================================== | 89%
|
|=========================================================== | 91%
|
|============================================================ | 93%
|
|============================================================= | 95%
|
|=============================================================== | 96%
|
|================================================================ | 98%
|
|=================================================================| 100%
-```
```r
## Pearson residuals, or deviance residuals
diff --git a/public/exprs-qc.md b/public/exprs-qc.md
index 0b1e6e7..584174f 100644
--- a/public/exprs-qc.md
+++ b/public/exprs-qc.md
@@ -441,7 +441,7 @@ We demonstrate the usage of two of these doublet detection tools.
### scds
-`scds`[@Bais2019-hf] has two detection methods:
+`scds`[@Bais2019-wv] has two detection methods:
1) co-expression based;
2) binary-classification based.
@@ -465,49 +465,23 @@ umi = bcds(umi)
```
```
-## [1] train-error:0.056712+0.006782 test-error:0.090820+0.022608
+## [1] train-error:0.058299+0.009273 test-error:0.098960+0.018377
## Multiple eval metrics are present. Will use test_error for early stopping.
## Will train until test_error hasn't improved in 2 rounds.
##
-## [2] train-error:0.042102+0.002537 test-error:0.084458+0.011641
-## [3] train-error:0.031539+0.002448 test-error:0.071155+0.009566
-## [4] train-error:0.029224+0.001912 test-error:0.072279+0.017508
-## [5] train-error:0.024595+0.002624 test-error:0.066512+0.016282
-## [6] train-error:0.021412+0.001913 test-error:0.063073+0.009557
-## [7] train-error:0.018373+0.002762 test-error:0.056687+0.016847
-## [8] train-error:0.016636+0.004358 test-error:0.052079+0.011572
-## [9] train-error:0.014466+0.002777 test-error:0.051499+0.008444
-## [10] train-error:0.012731+0.001173 test-error:0.048021+0.010077
-## [11] train-error:0.012586+0.001800 test-error:0.046292+0.011280
-## [12] train-error:0.009692+0.002442 test-error:0.045707+0.009178
-## [13] train-error:0.007957+0.002586 test-error:0.043398+0.007749
-## [14] train-error:0.007378+0.002521 test-error:0.043393+0.009114
-## [15] train-error:0.007668+0.002402 test-error:0.043398+0.008171
-## [16] train-error:0.006944+0.002024 test-error:0.041084+0.009753
-## [17] train-error:0.004919+0.002115 test-error:0.038186+0.008825
-## [18] train-error:0.004774+0.002024 test-error:0.038761+0.008839
-## [19] train-error:0.003906+0.001863 test-error:0.037021+0.008974
-## [20] train-error:0.003038+0.001674 test-error:0.036447+0.008460
-## [21] train-error:0.002604+0.001084 test-error:0.037606+0.009120
-## [22] train-error:0.002604+0.000982 test-error:0.038181+0.010044
+## [2] train-error:0.046296+0.003294 test-error:0.076397+0.019991
+## [3] train-error:0.034001+0.004358 test-error:0.064817+0.012391
+## [4] train-error:0.028069+0.002583 test-error:0.056727+0.014316
+## [5] train-error:0.022861+0.003607 test-error:0.057306+0.014178
+## [6] train-error:0.020401+0.002954 test-error:0.056752+0.019521
## Stopping. Best iteration:
-## [20] train-error:0.003038+0.001674 test-error:0.036447+0.008460
+## [4] train-error:0.028069+0.002583 test-error:0.056727+0.014316
##
-## [1] train-error:0.065972
+## [1] train-error:0.049769
## Will train until train_error hasn't improved in 2 rounds.
##
## [2] train-error:0.046875
-## [3] train-error:0.030671
-## [4] train-error:0.028356
-## [5] train-error:0.022569
-## [6] train-error:0.021412
-## [7] train-error:0.019676
-## [8] train-error:0.018519
-## [9] train-error:0.016204
-## [10] train-error:0.013310
-## [11] train-error:0.011574
-## [12] train-error:0.009838
-## [13] train-error:0.008102
+## [3] train-error:0.039352
```
```r
@@ -520,13 +494,13 @@ head(cbind(CD$cxds_score,CD$bcds_score, CD$hybrid_score))
```
```
-## [,1] [,2] [,3]
-## NA19098.r1.A01 4131.405 0.013268524 0.2493021
-## NA19098.r1.A02 4564.089 0.006372486 0.2676119
-## NA19098.r1.A03 2827.904 0.002598290 0.1619169
-## NA19098.r1.A04 4708.213 0.013077467 0.2829361
-## NA19098.r1.A05 6134.590 0.005533409 0.3588618
-## NA19098.r1.A06 5810.730 0.006969100 0.3413388
+## [,1] [,2] [,3]
+## NA19098.r1.A01 4131.405 0.1356272 0.2441677
+## NA19098.r1.A02 4564.089 0.2825648 0.4695857
+## NA19098.r1.A03 2827.904 0.1368439 0.1693738
+## NA19098.r1.A04 4708.213 0.1318728 0.2728862
+## NA19098.r1.A05 6134.590 0.1356003 0.3616178
+## NA19098.r1.A06 5810.730 0.1390059 0.3472598
```
```r
diff --git a/public/exprs-qc_files/figure-html/unnamed-chunk-15-1.png b/public/exprs-qc_files/figure-html/unnamed-chunk-15-1.png
index 26ad1d58bab8c70bd1e5a8dd1cf438353c00a842..19f2f171701f2d651a55cffc1835143fc8c5de25 100644
GIT binary patch
literal 129367
zcmeFZcTiPb^DcN)6cZphgAxSEf=ZBJI06!toI!$sM9CQp<Rm$Rf`DWJ$yo#h1Oy}=
zaz=8_aC`H9-#54FS2OjyGk5-&s@YX<d0x&AYp>O-`+1)3KEBUn#BeTCTt=Z#I8VjV
zawydK2Po9J+KXr5FV0x#Ao%B!rMRj!3PtUW{C6gJdd&cZx{i8^eyHFOzc_4csnHX2
zvNk(}Ik;J*=Fct}Y2f%G#7yd!u4O#m2jb8-Uw?fdyC}s%beADU;n7V6g6I~J#{{9x
zA3k|WrLnx>dPZLGK-%+t##ge!0gph_f#`-vGu488Mw5jnRU^*FoUzP)L&XN_atmss
z9jser=_{_~pN5VWte5#EOxR&`D3p#9PmAX1ClsIXS;5m!xDPzAkq@<JF0P*bfe&?t
z=JW&h_1bgDhcOhE!|5NWJWzPZ2aj{t#?BxgEK&cy$ry|MndzvG*^2UVGy~by-kzR_
z3M%9jl!OkJmfg}|PZx4nE##C$R*?Mj1^s{j_WxVP`2VS!<XVxUP&}~)s?GY`QLVl{
z9kW+FA4z0bk)DV7pZ9@<FtDEc{b^)G3sYQT(LYdb^~tAHBe%S~JTsF;7g^dySiT43
zMmhKI-=AD_IFMYKB2c=aSF>JoU&F1QkULUC;pfZ3t*x!;TzojY`wFaj%g4MtPMTl~
z&6DkC%DpWMA$Cz6MkS-F<q~uu;><)WdY*7*w7JR;TvW^0>UcedcQIh4BT#0APVQ%a
z^SiPoO1tgt?Z~WqaGI1XSWWb+Js07qR^kG?8z!`lccQ)(u{Z0>nYd0phckYu{Ob%Y
zbhgI4OKwr|dU5YyvE&cu|KrOvV?Q5(eUaLhXY|AHR}VTcIH|kAO?t6utrlc2eXAy<
z^0<dvR(51vU%>a#?P;1Gqh;2!!}g;`pYUA2q@^`3*){3r<GIc~#uHqvy`2`Ct6g&(
zmUO5uEgd+zqFw2*##^)3hNin6ara#9rRNe)Ql8g8`y^0uX!~B->vE5ynleX#Xo^85
zF5JF5JXXn{!EB_`vB8hHp(aAEPKPT-iiFl}^&Rcu(TcnKRGP%jsQZao$#7axZf2%m
zgKmZWN->+s_;*jvs!cg*={5(B{h2t6MB83fI;-gjW#R39J;I$=sIf1XJ-@dn+{Yx2
zhR9;-UH2X}DoK<bvRt#SsBGMeVly!|exCVb7g^Vr+4FbLCUwl7ds9nVz3OS0<Z9>O
zz!xIExwYjwdw=w{^hVii;=y2F^}RHAb#+Ws^(JG^me9^ncX#(j`~8*0!6K7^0)zYZ
z%ZEd=!pcF)DAeSHRhgQano_oE!Qo?nR*K5}^T(Ma+Mh?9+p$TtcgLqUX4>ehz!&HQ
zz@ta|`V3W-%*>Xew=LWcFr!Dy_D62+?(Q`mvy{dso9QA)yOY7%)@^rdj<@o}DD0Pq
z9A{z-)grh4X5}T?k2p3}G1IT2T8vH)=BU<Nse&}J1_lOvR2=q*Swsh=^<8vfBe~CA
z<^S_;p9VeMyiIvUh4bgzF;c>NQ(<(76A4<bv>g8~$x((zi>5oFq7zwISZ3N2Ds<}J
zMn*<9Hi~xLhg$``bUMGALLMU_u%Bh7uC9JF>~)z2sisY5^l_GQ9!W?bC9jMsV$)!*
zEQVOSVzjOb=yrjHY}iI2jWAX*GzA4krPfOH@f8xbYau10ZqAoYu#oe02+CSCYuBpQ
z8Yxfq^G;ak?1ydp=C+TI-SB-Ibj5^IGczU77cN|oNc>t=RmHbc{Utr!@N5?BUbvQ9
zY6mrn!5n1By0U~dYao|uIWNsUj*${Y3(|Cibg%?9lV0|G^l8j0&^0jbp4omQZ}n|s
z##499wU)L;wEyYTr(pNPNiZ+1DyOXu_v4M*V*ah2vsPvFNzrXDpZu7%qK+B)$4e*A
z$5{~i{%8_8UTcfv)wZlVFDtnAesqPl`vyf|OA=F8@N-i(JHD>iyC$NX&uZLHj`Lim
zSqYVRk-?(EbYd^;>T~b;%DU**d*QT3ah}wi9Mps!u&`@Ys-R)23I-OVZ5P4GGt&8!
zu(LR>&zv41-WJt+Gw4WU=b&mCqJ!k;<TL&lL}_kM_;VH)7YlFwk&lRoV60%*t{z(0
zBDw5|LwPTNfAeso!~bVX1S?aO5^^Of?Z>w(tMfMd>#dyb$9uCKe3Jo&iH>PgbQ@1T
zJ)6^`J&5)haz8mr!GNjl{o?8HL9B*npa%)eD6YF{${rp1+)4X?(i5GR%RH};3Lh*M
z78MmWExXSq*i(3|#f=`$c#9l<GEk-K8W?a~D(VAc%@1~6gn=Z5W}ePrv`sf_?a4Tv
zyTkr``je^JH|HcH*)oK`OLA7-DL;V?=e$z2!;)GJCg0c70~6y=_x8Mcv8l1KvEynT
zcIyTOG8j}eR<{ZM{T$o1U<H;4iPWIQ4;`~j-(1%GwN1^;jyi+gzP+AoY;SLe`OC^J
z{~L6F*#}J*rp0l3vAh9Tb5>rp6GMIQD6Ca)wki+#*6CMV(o%W1Hcvl(WcYVX{!hG1
z>l0c<dE81VqM@OYxfvE|5R*oJ5$n;X4|179w(xo%@4zL$(6G(2vRK2KP2E#d`n#MS
z`u8oE85v!?@NPN>2X4)XKXyi^@o9QDH8nLjdJ=AdxUZ&?SLFwLmu#>DhCIt0H)cHR
z$F2G<f}hR@Fu^ssh$+c)t#2Q%ew11BajJ@cWBy^Q@(c6P($;A!n4^9!6$aQ4I!@yU
z<fvb45b5IDNV=R#M=74JJc+r%8uoR4&qa`iQ`r$7&qsj_k}X5w)d4H@z-PsEqkF~{
z?y2+<64I{~k?%Q9zmGKV^@-?X3?6i3r}KRDLc#>Bpq3Btiq6YhBSYrVsU`kA8WL!!
z?)a`)xQYuGi9xDo-#l12&z`6=?|xEsqj2kO<b&&64T>-|W2MN86uy6SqXe^biF{<W
zKNuzZd-Z*UaV#-0u|WnhF-^7itl%6nug>4UKh#`5X=J62`4}PHZ}*T@-sMFUuP$4e
zWnDbKb@U@ZPh2>s(|F0d9-OLmnFfpz-lw6l_lg>fiN{a|JfUMNZ1e|Dk&*e*h5RHp
zjK6*74pE@!70<WEv2Pw+rwHWUhE2s~hTO`F`zk#}plC{`6)C)`$LkmPi04D0{x87V
ze+=XQ3F7<zZ}MMJ@PC;TkE|gua4K07AwE7nF0KzU=|#O9QLIFld;a`!s2Z_~x&R=0
zAHmr&z6PoZ2?@>m1+MB*y~$6mGSU^8&JXSH@2jvWEuRHblpzFzsBP|6TN$pfuWu|_
zKOZ4QUKUS)pK5dcx_a?4A$|#l+85oTc@r#t9)aq7j%yBr5fa2~ce#v=j<iyGSt1Cs
zbj;00XYDHL$G^&DW*dOX#N#4(&T{<%Ha4cjmQnr{Lsjrkea0x|G7XNf=J1p|U{&2X
zfDSF!3kI@%rZ!Ts`~8<-EGUml4}m+x3+5F0Q1Krg_lX5tk%8qgy*+)ld5Jn&s?Y{)
zUv}JuFpP8rwDLKQTRO~#HtKvtd+_2cZTY<*tJAUkdj$-h?+9TPOq?YC@Zcn6@3&5y
z5*uk5tgMR$k`$R)Svc=Hz=?WXLUx-+m?2qXrQ?PvW~88~dnHU`<g3||m2VTfWYir|
zx)6v-r*6nH_H=5WUcaXD&FDEZkzdm!eIQ3vR$5wGd3h`~LSk-SM&2wFqAuKytyLnu
zyV$H^*gUC2%mxM>jX>1eA6(KrM3*BffctrLlU%t1m;Lux(SNar|2x#`f8i#zip#K|
ze2x$-0iA<CP3nk4Tzzt<(UT{h;O$dk=u%wZC~GsEoSpG#1WT8ShSmIwpWJ%x^)1&3
z*SlU?TH33QjR(w9ZM+o+RT}~rX2f-8cw5<y>0t5LRp~@H%RNcR=J&|{dLo)G-(s}d
ziWEFPR~_O^W;@kt4wfr0+87?2pDjO%ibqX;rEiT@^!7&CH%+eTbE__MBa==5lRhR0
z#{P_X%FFf!&-RC60|#-7(Qk&9mS3q(M@fQ=((%;d3R8ngxSc+O_pCL32S#K`le4ug
z?fk7*jGu*07qcDS3y_Sf`E&rUD~5AeW2NoqQ#gVN@PnIpQtu+~%zb({2zfrcZ@peb
z_OA?+K5uB7N~?s>>hTl}X3Q7dIt_STlEWzI4|&=FC%M+GOO01$A2<powzRZxD<SVV
zt}%_AANE{ZJE`quM_H*O#>9D@+-&v<`QQ@oRryHGuOBlqnz?pEz*6ItkO7IwN!;b-
z-PztQS1JdHFYat$FugcXIJ}%PL<=u8h8UQK{H@eiCMG7YUUkjee0s(u-MzBIvkD$w
zMj83G@K!3sr?M<Cx@eoL@`&;Mw>bI#g5mt16Z`*{Z(<oy0dFJY(JMd`oGzE)B5Xk>
zdi~m$?Cd+zg{Rm=N&s28+j1ES%F4<dQJ7;1vHVmB(DtLQ_S=gC`6}6!MaTl*Lrx?2
z^7h_Y9O$loVQAjp-pJ0HjuSPwnQrfb-(CH?R}JnERU!JH1+PCoIsgVsC2Wd=M>Jy6
z@>ip!ogsUP^8OzQ#pln*?J8Q;=n>$m3lY`h+-JEA8v)Iq{q9d!+?B)^#^1c{b<)xK
z$aea49OUU|y5_(6=!e-gr<8?P9Yq9<kB?`tgU`^BfH;l9)lu!;Ru(Xoj1qiBI<oLD
zyJSDTP=iAm;73~4W>e(6QiHI(IuSfKoDRYQ)%9x^eSDZcqa*nKUdjNF;OC0W*Qs5c
z+jXhd;hI~gsEd|t)t3Ie<0Yl-X-p=1hl2eSG0A%jc%e|(&m`Jncnk-g#N=?+Os;2W
zba5=7TfwEM{?O?({+8c*hRYM=p7@d7+;b?)3rQV)U0oA)6+AJ&V6c9HIi%k}Re-Y;
z6coZsfPQ*3iz1uFt7BHZ)ba&O1UTl_*^M;g3uoV0@|lti;X_1|aYxKHj5+nur)QuV
z*x!I5%Lm@L0{{GP$0enwf)?%vshi&3-t4VbWg5WAuU!nUpo9H7i9{5>NLYy6++5Rp
znChyE{(^5sbt^l(_wMbxRIm5KXkQY+8lc1?q;7)g6xymQb8yDQzrg6m7G&gLCL`f8
zn30`>R!uO5=v%O-J;)_Y5~OYt`l9c}DM~n2jrjTbby`oFVV3{?9W1Y64dIqEzT1^Z
zz(e${<lD-IgWwfX4h4w_0U=maEJXBrnd~B51CCRHrRZp@J*2VMI*x^vb@o>bs2V<3
zad4(L_H0B&(|3~5a*o5HAedw*FcZagb)7-gN<D$u|HT(+uryNTyy0cP&YvLT6G6&8
zI4Q5Ly`W*2NOakAX69uo(2G~2BMEI0{rOLBMYKyCY%iCWBU=d-O<_upjf#GaODz!I
z_Oh_vY4wA?cj^aH*1WDu<a}Q+_m-t^hP`|Dj!suK(nm#UK8y&HlR^#i6m5jW!e7Zn
zG-PD`+fIg7V?K|I8L;&a77|=tUFmemynM*S_P*Q+r<sRn&UJow@C+bptFm|lRnP2x
zJKq$~`2OP0-NrdZAiE3>j%|et2luf`s#Eq~0|S&Ihrt0xC%R0hOY1sQVK$%K(jrmM
zbtsHk=+xWats0!|F)z7Kg)952NYA8jNr8npxJf=EyjL#^LS8yAN&Y!t2MFf)mEw+y
z<uEu@b#<*W!>E_or}K#3WQ}A`yWy6!eXv>3+vw%xbqn)2_Zc&lpo683jt)afT$-w)
zqN1{L(;YW3h>NE~fk<Lrf|<sTQYT*5!_F6SdoJ;|PG{|fqGE(x3)fXlF{Z?xlrpOL
zUUb?(e?Ol={mOu;-OloGp2dh6CbZSBS2wz4p;Iza)fb(dnwna=LJgt03ULKI{&FlN
z{zZv#qXqfaUv~1A-`kfdmP)8~m_Y!d59~C$Lxqcni>suhL~{8&fV!&}SXo%oxOrAE
zB`aHP72U>98zXvG0{1ArOx<!?CyDd=Fn|8sF=&9@X>|j!ulU&5STx=1c2DW0xb2s6
zy3^q#OWS^&43h206GFuGZQP?;6*V<Ab6<fpD3H)T&2W2DS$^6~9S0{f^Odua5p!Id
z6W~)th<a%kAXsxvGN;DI#o<x$eYNrQ`MKS9|B1pvnY7o7KfTBiSy5XPDs{7@$UfCu
za>z8VNWV)0P2h_KS9)~QAlDO;BlPH*vNCCK69l?&IpHKuSj_skX6v$epMItJo^>`!
zGn19fjEtDUWS~Ff$lm3N!Yt9aRvc_9Xv}Guu*-4RFN6p~^xJG~1c)MKBAg_P78HxQ
zzGAn)C`lP3f(JVUiC8*nSzo@W6nwjV?YEfu&a$0<2dCGI099LvxbcxlSVk_*gI66`
zZ#4R~?PUA9pi*vP14I1WdA^_#;G?m_0z4<$a_Ah~(uUWtoeERjp~`_7toYWe<}a5V
z&Zc><BrVO0coELJf!q=M=d_jQqq=D;01Q@rau*~rK!$`R1UL%*2c#Ukig$H7wzjs{
zuQA)(LR9dRsz4!HOL~&qevh)YE9efz=EJeA)55E7@C0{;tQqgSPg0KV*5SE5TmL;7
zEaKKctSqJb30$xt#?HdR0yH<6#A2epKu+^RrIEojEe3*dEqgHF0%OuKT8FVWh(5=(
zNmMiHKDB#pVePC(w`ydO^Uku30K})^y?|8q+Zrv?is0lK2z<e9O#W0HzWInH0z@wW
z!gLS^9)Egvha%xk4T#Ym^DhU_?*bMIcH2w=<z&QhHlf6PxExVFN@e%DKxjlH(95sR
zp`=p5-}WV95@i?kW$RiNbW`S))C;I*v(4xK{(bf8Rct@&VDa$qFtDQj>MC^;cDiJJ
zRTDi~Sy_4cu+f#I{#FR-@gLwVEGm|YG3FIHyY|k`&W`?PP~okstCoT^CF=sm=2{qc
z<C1kJBlqf~R82`vtq;xme$Jm|FXn7jyB+|Y(ROyV7=6HzkZ-15Nkc4a^ZuQAYXJ$H
zO6?|~xM!l>9I#ie)A^!xfq}=|aJF&c>?)SQ8^CDKM}xY8bz#>*P?(GB>spbJMP;Wl
zvk``*Gg)eWIn?t?N}ky=2qQq@<G!4Z^-K2)+FhnZhlwHUj-0$ak&RzGeYu(kf8=E&
zAQIJPv`kxpM*cTcEGM33p6B`g!GZQ@x&6*^os_7doIq4>SwMT54M&Ro64kHi%ivBy
z7C4&+o6qu*j5q!+?}$UnZd1id^+B(?h0yv>dfp++deHo=qZVu&Y*Acc)XvkTzM3kz
zH8t8M<P>ZHdp)%r;`ef#o#ZnVKw*6U=+mW2W(YsK{P!pB-M#C2axhvm6)Fik`d!^v
z9LRJah)+e;98N#R69S-R-yyUU?$TRsyWqCpofIS(&@?Hp$cfUa^s|qP(_*Y=3?k`E
zPU^qk)jhvy$r8tTcg8}!{6k-{S$elI5@VQ24Y7CCEvjrc>!(|zM0UsCS<n0`17hI5
z9+m{sqIQgs^L9wbV4-1$h1*74MkYSWk{ePC0D_h{S6XhGR;((28npDy`~FNqdN*w@
z%{V%Zg-Al*As9mxvJ;sG%#7K)dz@zXcJ<Mcg|dRelvSC?(Y)+*?s=4DsEe?+qGC^%
zKZ(Mx*JVd5u4=}ei5|~yH&tyWpU+qMHMu4=MhvdqNK<iIc>P0@-up*sa<Ag`jw1~i
z!<x}_Au{RBhp<1B`JAz;8In5e+xcg+wQJlu5``G=yZn_;8vJJ5{j(n4Km$Z>c|~fN
zmziHN^2|h$Ici^zB5*MTX1?4-FERnGfhsN0o-aTQE>|hA=0o57w*>J+gM5J~$-BJR
ze@)(L<?WREkAP_V4jUXkZje)X7C4`@w3oUo{qT}Jzm3Vpp8Vjtil4tkUra-QAM*F~
z2=RXNK*z7;EGqtDs)D?HH#k-<GO1L#hDIGOGXDku6HJFz0F7Um4{=b*NdTfC^nKeq
zILnijDOi|wF4^`Dh0yjz7l8x-5%!qKszIfJcq8_-TQntF<=+5G&9=oUA37jZl0W^0
z2Pe_xrKKf0Zje{4`p%;G7$q{m3qW+vDKf*P8Ow|m>E^2dBQo3h({Q#2-<2<sB;>Ep
zC|AUbOi#mmG|s=YO@;>s28s<V1k4!1Ug=L%8vpIXly_*3SgwxMfx^+8MGM<~n@W(#
z@>|7a#6}>OLGJZ>J~c|_^;6(y$>FhoHaY0hjN9XQEt=O!vOeO-_b6cL;n#4ZG5Z0%
zWst^d(&EXhsS$~4H7H~Wd6pvbkxdc@mqHy=aj?J7)*AaK3b3b)1uo4S_r2*T*h$NX
zW)4|^paxyKuHj+VQP-WLIWZA}kT~;lW61CraNwiHnB8jJJCmP)N)3p}^U*_exZI~_
zUy6(GkzJ)ZC_5Ev`c^G{wHwXU3sh5!KwJe?FicJWg2EZdM7cwzLMca0@$i0vjQ>wW
zE4FIguQ_b38M10+Z>TBi1qGk>WVcDgPyG5duB-HrOTyE%8!*^`^p!#sh%%5nQ`FWL
zao%2h^yy=fUB&REh6_hhhrf?O#Igpn_(5^*C2a=?YQLDlnL);&y1F{0h=|^`Q`InG
z3vyCANBdi_yI(@I0NDfl(n{rqdFi+pYhGn&gBz$V(zmAVqWWc*`(^R*@!91j&WZc7
zX?FcIB!smmhI^J27YA9l4rOL$=D8m&XrJu&F;y@?VkN8eK~-N$R}6vJFbz9h)37J7
z)iE-vN*@3@-D1FTyBGuCc-T%cS2WRU1(yylPmYMgI4!RNhD6<b08$K^t~H8R>4{nJ
zY!&&I#MA2^Sy{3fB`IEZB(@Pb!I>;+!^po>nfdwog@x98>t5Stnri;Nx)c)rTIHW#
z1NnnxndZ0#Bc()ehVP5mnZvyeY;5fM@zvGUuLi28co9gS^$tj)e72{LmNPJ5e76MK
zo7)l(JQW=OodkF`NVm25;AM`Fj}=%HnTde0UBBidnqqndwrLuIa6D4}E-c))9IGwv
z+YT_-u+p+NLyjD|ObyR7D7`&G9Te)HS^y7nL<xIfeD2)2gPoPp?ZHGT4enc*;_w$n
zvJZ-C3Y?qw)NUz4x@wsM5dYOjfM-5pVTuv#<=Q>s5S-9Kg!yJ5DUfSzT(wjr^w)(r
zP;}Vb-f;m`5FTv*{xhg&k03&_v4(+;?*3w$k-AT9p{}mZDjZ=u%!q?#)aQ-?XgJfI
z8a%^O0C$y|@v(&U;W9>`Ot=m}e;*E4g@xw`+e|x!aRh$6C6u{c3%}wx80lz&4NsMI
zp3|8p0G_wt=Q#2qe2BH3GPIX?<89s8A5!FLY)YSy(btU9UcI1cPVDzISvELPk~V-P
zSQdzrI0N^9fl&@HDVB%=w$?js;J$FZ2i##cV|<Z0x+Ia&*w{GKqJi;BFi(o1E-p$9
z|0HzAp!`q46*b8B-5+=;5F=%0Zx1eX$t*$5q_tp{GgnFC2?P@cf<Vzr8_3>37G473
zVI*u9vCghJXqZ&NEB6w&(Ggts1gvxO07-C_8FnO^<*l?CFhnpj5Y~HT;L;3H`<0r^
zzArql*G!HRBK|o)zw=Jp(;S#*DMXA#1+^^M@!q`)d<~33TU$H+hwyomz5xW<R4r{)
z`JPFjDwtT?9e<-=CwE>_QPG)QQn5X#^0@KXx+Bu{U>lSnSv#PGIs!U~Y9Ca;WTy;}
zQCV3mr87g-Q8+{#OwLq|`xfMiaPb(d&(kYED~_zM8hG<2zBlyemp04}6M-+Fl=F;d
zP#y&cx8z#7iic-mvGB_v+(0$bU_kA1N^v~xVh0{gK*d#G!vOaC<=7W4v?$*K7bSqa
zLmG8!0s05a+yrg$kuqz~^hU8ywAa+S1iE0rl>ZgHs(hd`!lIu(e*E}UQKa-5-#K7q
zWgRx(c^_X^%8~HGuXq1v3P%Y6K88fyUoMku9n97^7}l@$QmZ~UsM-Uj#Z^^V{RKA0
zlXdT~LFs}+*42c!W^}Z?(s-jaq4C2FIz1WEKqpqiCl|aUT7Ro8`0n?B?MYc9W0aA)
z7q>JwXJmqj>v$?)Ms#_Q>rW$&=CKExdYTy~5km1TEjj|<(qZ#FZBM#f^dl*G%E*Eu
zA92MZUbX4`qLwMeenWq8J}TiYq<$hz1la>jFHeq-%*>p<<wM1Zng%0$rmRG7rj(e@
z3(QjailzuBttfE3AQOex7ET%+>CMpiq|<LZXDJb`if=2HRY_b}e{_j>b?#%IaEYxs
z8%bO=V(@9ar?<Wy)yf$5H0ydsc*Y;?;g4F(U&g~<S*&CNECwgsa0T*Y0Jo!BBRXa=
zT1#JYcU~5Fs<`$S=<}u1xnT@i)(a_T+Y=V7){JpcwE?waz(tsJ92`{8R{V-qj%B7w
zk6t`Yl_RvuvE*}s<T^lyM&0~3Z{CcLzv#Xrb}t$4!aE3w5WF4%BKr6H))t!qj_49&
zmki#Fxh9cebO-WAloS-E7|089a5$}O>_Ms<tqE7~okctv;j^K!wmZRg3TXY%nQxR{
z_?JCzPW}QIi64Mer+9>6ojrrU=3v{LGvOjEgoyk)x(L7JJ7Zo_k(~UUi-9V?2|%0J
z*@so814t0zR)mve4F6eESJ$J15#G_+u*_)ctFQ8u4_wNV<-}693k<AbE4B^K|Hn%+
zK@kV1%GcV3t(#%Z+uOOilU=EZjt}9kprD{~8jQc2_;kcGb``T7Nl7y4a0g8dl981i
z@A?<@I<F|f+}Tba8#=mTNVyH!7A2Ml7NX0Da&@Kzqq*z{XNV%+@8cm`s{r`%v9XW6
z<^9RwkcWr4%!Uo~03V)#3Ri`!^W0p2|HuoIi2QH^e`Dsn7ja&0qcItK8?%KxfMpPu
zjWXy1FOXkFZ$j>B{J7P*V&j&9sGw(?#WH05{7E^L^z4?-p>$>t!fv@Qo+{^!N6RrH
zYJRGJ!c=|v65T$}8`su2`C2loIv_)=$Rx+RAPw_DgM;_ZogeGRDAcLCB@H6R*OC(Z
zg<jX>hT<pW2sIr9FB%sco3?a$57Z;H*A=hc)Swv!3}(2~C>+_BcaGR#giKSAB@hx4
zGBZ1vc$`_%$LG>Nw{-ggc0h6QGMcWlrw7sr!7ND~B~`<kUnOYSjT9G8WlJu0WR)!i
zTMKY$1p7xu?(!MwbHCDOz8@9##;qtd#{~3)2#JWI#uOGA9KJy+_s2)65L|euXuZL-
zw76rwncWY2?n!?k(@fpVI}jEWsu`@p?OcSDEcPZY<f*<oTP2=9Ji8%n1_dEfV#vBt
zamKY3m)H}pr;6oUm+kCJ8B0$>#efD!)TqIMh8|C4hRshicI}~B99Y7Oh%Iz`^s1p3
zL$hjqiQ=}N2Sp~lAcJ*mCFT9$qSUWfb`>B0@zdWqCg*w&+Ks;C=Dx&&wS7ShkVEF2
zd5QCUS7RV$Ia=cC_X-U)q$nf2@2(aA4gi6-w)WLE@q>lBs$E_`hK(=eY)5VaOL>~d
z8*>=9RJk>cC(e>uL=!iD?u_P;R4!Xlpgb^tJ}Lm4&H7yh*%LRn^HtaonG&*VX;%=R
z5d=xOl+L*VgYu=V<+_Jvsw)N#2I73C6+#mmdl1eX{RKJl`qUxHEVF>ARwJewj|-Ti
zaA0xWnsTsYxs~*4)^)E>!!*w&Ms}+AfSk&UVZK0yn(rSS=FJPTjoFTsr6pS=?fj|#
zOE{Pr=(pBoyFai|wQIY4*r>5PpTaY9kfTkX8{`bGt4SS(WMadw)1EQwbCY9=fjD){
z>iNL@8V4bkG(S@smutWs1A07fj8xDfJ49k&_;6d_HCQ`!WbM-K=GeZLsBE2%{a}+I
zkqXGI&{#PtRZ*0cy@d#4F=u_nQ=hwec>O=;XGq<IY9+$pCNm5Pe)k>v5OGb-;f%#O
zb5$in!`U=V&Bu|q^<&)4?+r;<3>BSxKW`0c<{c=A@MVVGcbecrb$8a*KCrj9$HZx>
zDby*^P2BtDBfOLS337j7BY&!DYHFS_GqBxdsq*)kD*DS_de7D-$$|{23n{fmb~#cH
z=V8p0AY*T9YvyR;E@*PoS_19s^NC?9A2YH@5c0&IBw>ipg)YRwb?5lA=EM~bMiw(l
z;J|VjVaIQf*hS-}4N}w~zr*TSWJ$Sqfhe~jQFnz;zuJT<eaKy{(fqvh^x3KQ_>S2p
z40)2Y>^>BTa+*eom_xU}83s%RQnsvXw-bJ{uoDC~$u3Vdod0|ER+Ur&MGx#>DPATn
zPvNj;DCv?!!=wW@4C>tY{pm4O99dl^JOnezU*D_j6|jg9&U~U;4DJr8{ZK9M?sTlu
z!e65hFpCnO*GhfzV`V34&KROL5#Jm9-HPRMljcyyETtR?27;z#^57=r9JM0-=1@d{
z_|pQG-sosyvE595Aul^y(Ed1HqFZ2n@u9pk<a3?;Zy+ncJBhOjj%8=WInQSZ1R_9Q
ze0H-?dvgqAha?2*aMEjPPKYG2P&%TJqn5Z8^?YC0_OY+AQB<ofLH!B@b2KFD)aTWd
zM-1mCOdaK)dKxQ}ds@$SWaQ-;UIxt6-R*Gh5af#R)@c%UHJf@I-hlLzK;Du5uC7p-
zbXv!$5P4=i(CVAG0>E@xsBJJ}G&oLdjBsa}<td2_u!9~+(mV~W^j<|H%UOz{J^p1E
zPvabw-@p6&f9?Ztlv0Pc=n&ip@X>JH>X{rO>%G$kRXGyqM5n(QVH~&sQZsUMm*aUT
z=!99P^2NOBBSOFS1vzY$8MeU&5}FT-OB)y(5(M6i$98}6?Gx!)PE!rXnZw}t8q>9j
zhE5|JT`jPaXsk)iALf{1Gr9t+>6W!5r=CnjkpDU&+0|vzK&g89^}%%*)0gm9&V{Ut
zMgCU?%cP$tM<wx>WMs?}_4z1DC<16yQj(D>gNP{+z+1bswdMOWTeYy!{jct9y*FMG
zS`~1xWv9`f*$sfk4uV=5z3q3}#2Mt&)m!PT;X5gK)rKuo$WZReYA*hI#0SoW3gFqF
zKc9=*XE!8n{VPO1;1ArP*;Qe?NeAljq=;?4wXN;e({O+ce&KR7!QPv|0~;yFVAiDe
zHstIk6&5vIAQJ-zA2B?FcJHScdTQL8R@i3lx5GZIfX$cEH$zZ-HIB?Dau5ab*5+we
z^sel{KI(9p;VIKt?oY5T8?x=wjFNyvXf4z)%9e?rp8T?W?ZU2V;Y-)8EN$WtsDwl+
z%Y++eEP;5DYP+m~fQ6pg##rQKWyO7X1ezjDc5`FJ<tm@U4UrQ>y-RXgZ<da`2Nh_C
z->-0L6uxW&<_vu5iN21GPE!!|LT?VH^tE38$#j&q8;G7V5(p}V3FBhAHYVNevY6jg
zeK^f|(&v5@<zqTj`kEn&b{<5!qZ0Q6-g>f?iz26|^LY_o=?6q<C~`2czqP<wvB({j
zh2FI<(})7TztJHA^=muMRU?;J2$1tVVwSN)$HcOc(!RevQ1S$Icc1~xudI-UfXjyJ
zun1P=3-9WDIsSdR{#lpjTx6A-U6M>+A$bUg<(;9F(<${h7hikP<!0DGkx7)#pFe-7
zoUKbAd*g0xZ~OgBe&P?I?N%fxjc~~5U>)aHEUOjhH)kql5%~VdcW#_qQ_NCgS1p)Y
zu2>N+0v8R3$Isn!F0!&6RXZcBbg;))-k!e_H0%gPu25kZ{A3F1>~3+q1_u>Smmot6
zIhN6CS6~6&xYVF3Pv^qJd;&yjMK*swF4Hgvc?D539ri~ZCIi{o*`anJM2v>t6CPFj
zC!Z|~xIaMQ4#A>%&#fg+;hLp+k*Z?&6VNBsNX6y9u%z=~aY>Fd<oIR#f3tA(G-RO$
zHZv=iAS4}j>SurOsq&4*OHegavwK*~o@dWU`0Ar9&L(B^`@!}7YSP}4m4QMr6U}7`
z>Zc|NZ7;i#Bs{Y{I|^k;Y2h(iY!>H}tx;xmn66dyD#FKfpkSH-q&Jj&HWW)I$jokJ
zo_xKUt{|MZ&QC6raa=Dd%voPw4;t=tZs&`CpkxsB{Smi=r35It?a$YP*8w$YI`>Mg
zjXlP!<W{Phx_W}G?~2<_g+vBebKuD>92^{p3=7u<bwZWKd9%u_-=rdivU4J$`5WW)
z-m=MTz|<Q+Lxy}ygZH24H+DIUxAjdyQd`&p@)(sNFxw2}pVZWpBTK*OROL+{4@H)m
zsfNfv2?iu3A}b!CJT|~hu%@D?-lw?{-zQCiHA&-XEdb7UgHtIZc>mEuHc5j*)z$(i
zN?ZRMFJ@8&fEs7TjzOqvMY%Vr250YbLB9K_Cmp0wpp-NFE@+X4mGX0X`O!W$wzh#M
ze;V2k6#yS>DjyCE7Y92<Rhaqvd<`Gw!?}7@zi{B2Brf)G=*Sa>$<TK<wg$&tAzIk2
z37z-oZV)-@76C5}%N14ep?d(le2ih@EqARJ^LW1me_3Fp-7&4x1o+*8e=Ex-=!zT6
z`EsEUWq!5#Mv}lfX-MUbTfzOskf3dSMvjuAfc)8IPo#e03V#Cl7WXN7TKo`iTDM(@
zlaurAP(wd)!HV{H)mye4oF3O*sqW1^m$VGcWstVaZ%Z$2>@}8=<3JkIXDZ05<YBu4
zy(?<0UqC>>ylgr$E$t>?G7!wSdX!6wiUOBEh%-F;^gBQ5Z3W2d;c~M{?rzN~;Ej@w
z77c-FRccx2=}orrj#irV<<eIKYV9oNl#G;5N2<?sBmw^dAtk^5Hc37vU$1Ga53rs#
z{1J2x=Wc1<B`}>si|?JLgWu-U;>^_`{eJ!0>YhtrU?8hf_U?LAjfU0OKtVS0Zhow}
zP+kpR_Vo13##^^TL3**<(LVisT49%6_0j#__32i~DS}dNZM^|Ob9c}rk9uIE)IxHt
z3r~1=j7fOScc9Ralr$Xdv8}^xyU<10J(<(7vL*$b^EQ-`gW8<5_scNRW&LSzlXXBl
zxasnRT**|qHxG1{28)=~2w`J7<*S%B7nGUBRa`jenQI>Qx-ov)8U8Rt!uz~2m+&G=
zEFTg`thuEiD3Q``Z*Cqg+t)Zx_#%lEUyw_`^#hT~tJ)sKrg0cU(i8U88wvF8#$X#O
zr@npV<ai~x@&}?#F67m?O))hrFE1k}yC2WG(>O08RlItPSx#`v<86x*D3mYVT`jFy
zI-Y@||3yQQ`vgkRu|ngrS_h@yn<X_zORq=Y=<UwSy6@witm37V@GZd&mzO~g-T=Sd
zwCGiAzcK;?)`h@8&knjqUY-SfJXxbX3F(*>lf4blW;VBSy`?kGYY`ddNY%;F=*dwV
z<T*}`YEG035>u+!A$CH(g-J}iJTGqrDISK4+@J{f@OY<2<P+ob#)JF&5WcJTd-D8#
z7Ip|buQia;>RFe<PV?uiF5Rv9xl}T$rL4?*{0dlU*$>@(OTNlO*FeP{JFe_1t);EM
z&s3Cq`ddeNc?o<KAYol0+O+CaMK>YTGEqY#iT(l9>ctaOe0oXA4miqK9>aF}V8H^g
zNpMjk0Og^`G_GyLrdv7%+d|}Iuft#5-hL<Pcr%^8W25#Qo>9(`+X)0@-kIN^=O9(y
z2(*LhXfi6Q#rb)p;u#bkNDe6~YbvgrZ;y<O6q)ovo)}i;*btOW=u1Fq$Z01Pzm=4b
zc00qSNC_4m?Ca|r9X+WSJu(N5fNU8tw>ZA%Fk2_P!6#pes#m{XLDX^@KFjM761Fxr
z+3F?BV2h@&UQrB}!Bm3cJ=U9}F5O+Z)vK=Uwl@tAhEP|vJK>Mi*hiZ^M3R=RoHZ_%
zmRuBp$eThobZLHmub%e!tLXrD&X#@6!Ek8aj*&&{@87?n$Qn|zppv-n*3*LPPN}JJ
z2k#BwOqPqx1@?Si_5NQ%HG*lZW&HzqHOQOria?73RP3u&yX<+AYL&ihi!E#yV5JE3
z`&nCC3xNQ}R{}-ex+gG<Ll`{O$=(^%14p=W1**zhBmI5Ak;|eZ+2XRoAz9D#ErJbd
zfc^fKapEpYRy2)VSSeyqxz>FLlF5#K=f<vq<3x5iU<g`VZ-4fZVLSCFPa1G|ho1fV
z3*bUE|0vm?LjX$Nk@yN*L+97mvfh2zOsS`^7BW-67$FA(sX%RqaZlYe!VpS}%Gc1}
z0#1dDhNgNl=su0>W+#0XIGk}W97?~|c>kaL@W=q=wW2&%_M{GwERmI=FN0j+@h0-p
zE_>^ViHU@+>VAoC`|}zczzM-oG(*lvcM>FeP-spdt8FPYi?OJwDlC-0wKbO#tYzDy
zNWTOG3_)&4Pfln3iuPWMvRp=Z--0WsT#=mGTBe6Tz&F7*If1ttgfuU;{ZKx19^4jr
zMZ08H27?994CIs7d<ckuoFG(9ThttF16*<&J4XvINa}Wg8HHwxqDhx=CQGI`<Je%K
z?S7<@W}+V2LEKiHM=Or^7hr9m-Js@he<AM#$TV;0h(*;_@96P%$<Qrql*c>fR7m+*
zH<BCv>FdiYn;N<s6@P#IL&qkeoT}>l&Vg&>AI2hQef=krTuio4tLX08L$SVT(Uq~%
zWdKbfn_8Rp?mPAkaar2HEIOAO=GS01oM1*rMaqvL+RZO6hNt{WA`Mw_nY~XxUp2Q_
z*ij8Z0zI|XL`y3a=<;KydZ#KR+Q}65hOEfZHy;;3z|=e}TH4y~P1N=QvkZ*Hys~Qt
zM|vYk^q_hO9j?~X6~H`o&bz+H97XkLZ?BA=Oohq%{e<`<5IW-jeS8)AN%Zi^5h-xz
zUSr7V1~`W&c%2TyMTuzFfe!$|qqfn*K%c|E$~6Mpl4MIigacfKN0IQbwa}*xi7Upw
zParP*PnedJDHve4A#gm1L@*FIASP_`QU;8IOI5nd=Hxy-<W*|!v%vq<*l%I*h3gAj
zd1#a3t2sCu-3*3*FnV%)I}ijJ=%=8wf_!1;62QfGO_R+p3-t=7Io;N-;6syzDj?;M
zsAm$yJX2&1ALF2_;!x_kyNt`E%O#}oYK>+KQeNvu%KZEdYfDfXv(d(jRMU_N_2p@6
zR}PO^CmjsEmOTLaKysyeCe|cK&<V1SBqv*LU^0zVEPKV3VB$!Bj__WyY-Huo6H-kE
zI><%}o4;@``@LHcq;iVYv!KHTHVL>d`NP0;!0KgXj?*m>zpw#>T2>50C77Vg?kY=C
z-tPH!t^ge_6?u6cCu3a{Uo3>%sQ4p=s~YtFsl*Ms`N()X#b}Qj;1%J&{C=n)--XU9
z|DOOKG^~0%prb${NGEvld^JRw+unYXrNJAF0fMf;EX8QdOiiy|cn8cO-jH&sa-$tM
z{em0Vh!B8oJfY2JCeSoWs`(A*1yaqS7pVdAI`i@Em*}JZ^FX5p#Ap;H65!tsk&{Ed
z(MV`~s@QD`sb5K<1^`j&8OXOctO2D1KU+Z2Ly<kcr6`XadO%_^jE0<NYdfh9XmMPB
zxRE5C9L_>$?L6riscI5a9Nn9AcW*aX<|&h2-gzI#cHO6rl0`w&%uKWBdvOu*H%yTx
zK6_1$F7eKD;`6EM8mvX;tbRqq66#mf25Gm>k`O(-{{FfT)=!}+?y_H7zv8WhM@52y
zZu5pdy&3ktZzH5h_+}FSUi{8y$@m?Yk))mUO5_+)`FK3M;syy)^mB~@{ijJ`n>&uW
zHqdmm?eI!`p-4C>*oTco(mk(X-10|cEn#PxbQ}jPIP@by^!$fi3!fZrgfc+a$}V)c
z8Go~t{3bi1>c5nMSy)=()sy1>sV!-9?osg4IiaibHMncT9T4vB)f&G?2-ED@hu1z-
zoqJHJ2|li&p<z>Xz-6<ps81^{E)Fvrycs1(>C215F;DFga)H%P*Ho2uO!W2#24nET
zqVC6tKSW}pon3KeCO{MmppOMcLDXi$efJlZ+4r3euKXgSoyud}zx4nzuk*(Ve6Mx6
z3dtuTYI%8iM<K|0dU_(6?rxwo$WdEM#v{;Ewcf(&m#m<q<hDER{m1=4fDZiT0#A;R
z)8?18k6*qR@!cR7Y3C0n3A0yLSEt-qceW3^DUFcBJg}s}LAA*b+hI(y6oCr?hJo1U
zs60pLb?5}Fro>ka`H>~Z$Jy^A$cd-z;@El95L#<*XP3zLI=M#T2r_yI-hT4riLB7p
zAD_dOQ(_KY!uDXP#6Nj%%>jb$E4G^S^z@y+hk-tPv+5=0OG4(0@lghjfW+#3XA4?6
zc(z9Xn7A*maL|hrHF(oF{Zz3Mv0IG3?Er0+6vHZklbaXrxgWdGkAb>?SCurJuO}uc
zc?EyVoTEP-;0i?v^lG^a_4ircdn`Go4ci^6WN$Jt$tDW&Lri65UC3{u;c?o>59wQ|
zIypX&l#~Qt0clKMBXIpl;$Dp9pZ+w|oUDvYJ493iy8UTRcVo7P?$C!xzRMMYbO!!?
ztu)k`B9`R5%uiPiz&%+kyXmHg$mm?$HiXM>0O=0E;YkOJ96S8tNfNM?=>9e`3Gz`R
zi`BOXO%U|}yNjX$Q4AIsNUqS%3(K0DFDqBC6VvU3TX_EbdFN5VgX>>)8!poUdn*}n
zTF`kbB`L{Mj(3QFTqwyJoxNM9^VMFm^32s6Z%#T+4m(mMqd+eb6>E>@FMQRL2}<Vc
zcAx|8u-TcCT)M=E)1~9K-A{JhfwGtH&BS55|5Lk*@)>}@BShx}bqxVU6Ze-(^*sE$
zySgYSDf3Dv{1DrOfCPg_!smC-EAQ$)w!K8~yccZ;;B|dfa|;V3u<}}r3;{Ij>|C1_
zIdMEb-1AHRQQ34nV3-5~fa};BY=kX?K=+LKPk;X|#9*YIG&Zfdz@?SF1kI^cVQ2R6
z;hEXPNOf~nz*ztTAnFfdFd`7<fIH~6gx?x2nS=44lnk5Wc|OwK?}|!<-a#n*g#P53
zlcN=7EyvX7?@xXZ%6?8u!{u&=*S6~V{4{<8sYkLOdW{rYVFm~PZaK*&2_L}-Mgi{b
z?d`cnGHn`uJyI9}!3M#@jg!q`OdZj;-&t#^sya^m@MTv&jTF#p?6G!22R0roxQ@iw
z!PyuPM3CcJ2_??$f7b#q^=Z4i%E-t(etZsJ(`Bu}mByO{vJ6|R^>|2c?Y-Wmlx(F1
zWV?ihhK@J!fW{3&p9X~~CpQ<m3}5f4n~qfOAvjXXqD&Y{So09Z7JFByQTk>#r~6*(
z+*1d1cw}U;UQ-aIdFiKuf^`5GNJs94Xgipvyqe>E2q;6ny>=jP*}41O-iDGChrRXb
zcX-^4j0T{AL9)sXYW(h*gS<7_IMNs0Hd80d*N=6qT(eJ%f9Wj*Mou)|jj?!(q0%+y
z(Ss4F4KyaA8G^16S!mcD!@B^S9S)BWT`CGgwnV(jLvs}v`qQV)^0Goe406F$Zf<Ux
z<d)6UVbca|yHQqyNlL@SBTNvS0;~i#H#b!7S%ORkvrRw4zfyB@3|dC@(KZGfm&(Z0
z6k07IrNYR_2r;&DA-CeDY~s-5{=~!tlvY)P%^^@7$chk+td*4&Y$3p*q?}qqlOI2T
zGoTT1bAeJBm@aLZL_u;~@4|wDT(D@cf{N^H(=VSua$5%B5vU&UgB1wx-9tm!nTX~d
zeoH<VZVg3rj^Z`gy$6T2!pO+yI#U3-?6?D~+jRH~>*E5gtG-5{t8-TGPK>PxiBbtU
z+3au5qk(1dLhYKngbnBq$dM1cwF%0G3`#JRl$73%xKsgm-{n~Gs^M;a$>u_1BaAWR
z^1pVZm!GwHb|#0~w~GS@KY04FMvSJFRaE*9GA1T;C+lEvqAZ{mAqQC|Fb^d~Mf^@c
z&qwH{v-B2UoyP(toSzdpix5+P!z|Ggll*h))zCC!s6D916S<?7t?4)&0X@^tli$4!
z;q6DVWXRE&_Wk?!{e7p&{07~<q?5g*AB}|XKnv{P`+AgJy_IuXrnnYlXiA}W7O8cI
zC8l|oE|b7bvj{w@BT4P6PThw|kkR1q_#`ePgHQ<NJS`!xaC8&5{+kE2%*P^GFz*i7
zJTGyIuL$X}%{X6OC-HsDv3YtGifbFE*ca-JP7j9PI+AmM`pNqKHH#=6)H~_1C=N}E
z4z7QlqjQ}Zs!>i4GVBkKcRf7<&b=1I)_NWe5sfbPj<MV!(nEzDmK<b@mt9V!^<F5H
za}I#c-hbn#6<Q>#GX<L;;>8fzzam(><2%haBGxlk@gc!aGYKg_2)j3vn`oR(_38ih
zI1lE<H~$&LL@D;a=JSHD_s(h%F}+CM*tH>yn46k776WAXkV6lJ7dArSZ5$DjL`Z<e
z_^-D|O`-@K{yD+pHR|7g^=<Oa(g?2qQGN?I?9rp^|9X<Rpo~Upi0qgu)y#V|x!PIx
z)v<?)iWR{wo1J2f@2KzFZI<%w|05ftt_Bc3;iFwMCZFuZPa-1FH@b8PV$p%~E0A~V
zaiPQkjxnkR{)UwIi4Cc2v;^n=^XzoO;E(TVF5KzIa+_=nd>x3qaU*VfSu!(Z{u|jy
z{F(iHgD#?UCj8|I@1J2^CH$#FxC^nUk>@I$Nk+&w3r#>}W&8xbWb^^I)4O9563p(!
z5mHh@3tpoy-JNykvDa3+XzoGAO+1l9OOURtJA`;!b|CxUQ8*C~0)w564VAD4DX#V1
zM{jHO2}!YHg)m5Ys3ji(H9e~KeJWwbYa?BzA1`FY!#ich5ElzO;s!EJWbZ(R1@?$b
zlfAS^^yeba1#-Q6l$@M-F9RS!fHMu#{`$MGr}5NDqo2yVqzAvDX%d8NKqqZ&ZN$Vy
z3Dl2v9_#Tl)g<}S8OQbx4#vjB#FT<%+~jV5I!&Ksy21DBlJDEo{o~_v_KioH@i^B)
zVwJsfq@uzfEh}H@OM<8e@pC`uUW*soGOQ9_JYC-Fbll~=86nk4ii&jYP}ugR5ep1+
z{0E)Ol;qsj|9nd_J@gM1_YML=tlrUXP%=#go-^Pc^zd)j%3c?Td_Bs;=cjJ|wGcMz
zWZ?pvr!(=^@eJ6gYa)WejGO)EL_+>C7CO4Z0n>aHh8Q*yn#-;?ybS}WaD`2j+~nls
zlE0rrMX%b>L=iXz5$s>Wg7KnIE-Xw;vxgfIkEib@|9toGVV|$HIrnYv$594=MsD4@
z<r{>L()m6CZ^b7X^z4zyo72a5$nsMKRaOc%syI3p4S!k?xD<fjZP?aQqLu?8vmc7?
zuZhGn)3C0-C*J+{gE$x&8_Y|Xn3xV+sxA50F23z~CH)jR9zrwpHDxE4^51xO-{j@x
zxdXX_K8y<RIw1bQP6R4t1##?M(hHzs5N?(>GLYX}Xr#2Dk`w$*eLBy(XQ9_MDk|!O
zx^+7gy<flf+g3Buz`Op&Q-{2>sM*UjNkXfSrN_X-lmcQJAMJfrG-z5(^UlaiKx#J_
zNpS^S0xi6{8a&C|MLi@C-M_C+^!(%!iZDrr?Yo%pL%qlGJpBB7AhohX`4lUwGX&gT
zfRq^5C{FEa2-^K_B>V494TK=Cu&^*KZRYnU3Pl6INAY0{Ap^fUM3S)I)rE!<OhHTf
z_}Xsx@4_22^d*pxFldb=4+a1yDo8^X1a{49Hb`_4OLQ*{hQ$>L8Nb27K|jCPT#nu&
ztosjj4tDyQxl0C2%gV|w1zbbv5Y4U4KkAt18lWN2dr#<)*LQ&YBm&6IK)WG5)14;0
z@VYKFN=u-?9wNENTKnW$c$6~s+3cphjdGcU1UB|SXTikmY&N#<=a8M6@ml2#Dd8W_
zV<a70?dlB7P)@FEsLVQwP1UOHZXW|fs4qh!*71t_$pJz?A(8-WLSsY83I|Xdgj9?Q
z@6V+mnn(rYo$)V%n2fp!g|A}hIvrZsc>&KyKlpbJjyR%BzJXsQdlE1E1?%`{2z}!_
zAQymi5N-oX7zTu46B{P#pigGrKKmO<CoUlOLo=HVtwz4CXGm3r2FG(E`jDT97MTR3
z3F|xZe!i>(zSlx>cU+|sZkuaZ<4(jw2>>)~Q;E18?ygOy%O-6*2$ttE32>mu9OG5c
zq+-V=e+YNsEud=v`N@N#qPtKZ%x77v(mM>b;>hoGJjZ?c)_1Kw7$jlBPDqy}(*x24
z`2d0gt^45{Y#JjovntRXT3TBX`i*Fx^!QNcfs&GXd;J=|-VaCG4vMCZq`0k(*fc<S
zum{#tY&+`)W~ZTukd%mMQ#k1os_|}^&Pm^Qrt)B_1t*J|S<c4^vonVgN}c3KN|Px^
zXXfzWmui+r+hcfU8%VW(wY9k(t~EjX$vgrup+q}{s_Q+z-r3QiAt^L)#?BA~(VylU
z5xk3@vO6u{hx+Bi*83}!Jalg$Qr4mkiqw36>Q4x5*An8-4)O8ym(FNd|NWD(vrVgP
zJ9Fi!UyF}8!KM%~4vA{t9kcbR=9^)+I&Yt?^|`b#uF3AcDBMME9Qf(W@jJ+X9|(4a
zVL65tnqo~*CW7E31i~ex4lyMbO~MP&4biobWx;>`^5sh#edw=1Z${*~H0)kW@By~|
zh|bU47m2KM@)8m)*{XZkc)ecrLRaRO><FHi7pb+0(ztUNo0wd|I*T7zwD;M__>l_X
z_cK<iM(zeh_2YBZv1d_}2`xpzRS{KQ-to0btJDj}IZvnvdjv@Q4FK{%_D<0DuR^jO
zd6TZxSRh*!{91-ug#l4dN0Nw$leC1yWqc^B8E-_Asf4lh;{a+BdAwU%O^)0yd&lI4
zF<Zq2s^`G3id@-PUnii}I}6%(6m8DJRf#HI5(nbWmlHsq%5%l~WT2zKU!HW|;TJjO
z<O*@Q!&R|>OD^W-=AcD5I_?1z5krHVCK_DV%2C1QBrPU}jh~vH9*mBMCv$~N&(2<X
z%jJ9z!U}<FY<_!e1m{z^hY#z@R7LWbFV7Mwi7cJ{O+8E0OExP=bom97VD0-))+E7R
z*1mrqjlRpwgc5eN!n0=|=2RN<$q08ruT@r5Jepz>DFYoH5}xnygvHU&(FRAS3G^EH
zUOc)44<5@V({prm1fLIj+^1*a-FH+Ysd2>sB9{$R2U+JDQ!q6;rLUmT`q?^LB_D_{
zVg;~>L$E0v*pI_PH4@2u{!6bdpOXJPr+YkpXODMwK0V3Y#DoxQ9DX>6rp@7IGz<nj
zof-6BKrhDp{Jc_D&%zc#r>6aI&r$3Wri8HbJgElPAv46fF%2E~!45m;<P<VOGQ9$}
zE7_wnhsm|R;*rxdlhDlojC)viILv^bo*vnWiEC$TFZy)zufAsg<USQ5rUgnd@F=t4
z@*Xlr;660&himQ!CGHgyeyjmCf&lEG!r>QCTAw*6FW_Wh@zWM0)C#zC2<rDP_?bgU
ziU*?UM7NKT#1Ev-gS0*x55jM^NT3leD$4K-Cd|XyZ`hn^LP_<?d*|xCNG$VEWOSNy
z0Q%L{)V6#2uziRc$@E^fvzH5V5<DkjWMVQTs>k-YG5JG5cs*<Sal!`p=+54kbvhq>
z>{dpW>?#67da{&9A;;0_4@3usxv5Gw5pRLWa>Zt7$h%@agrs1jJh09qo(@5tfT*+i
zH&@Y{w2;8khTn`DaoLboR77egm9{;@E&;!R+8Q*P`2!3W<?~Qfv~h7`y(PHUM1Z&b
z1CP&H*?g12j#k@>;o${^DlH31$=1a3a-LA4zxT{Z-V1GQkrMJ#;YPLI&CEN4@_I{{
z;Y6i0=B@GwI`3Z3sU*>hN{D#Occ(*2(GJooV!<?K#>Vi=DE$2V@GB^Y|CZ(*eork_
z|HC0kQFS&nMJ!k*NjSmB9CQ?<-NzRf+3sWVuz-*R^$zM`Ws#=~@M)z})py-?bc6y?
zG4j6v(MS3176TaeoU25NUniz!UP+T#8i6W=##q0g`UPPvk%{g>^nx|%vCEHi&-XsB
z&%429KY#vwrz@^&*B!Ivp)$0BmKF_06Pbi|128<OLWSx$@EISkUxfb!pf{X16@TC&
z9FhM(J4^jcqeA1Mn@CW?IkMJGU$+3NtJ+{1pB{TB-zVR%=NGY=duF<EN(b-(CX{L9
z>Tnr_=TNlmIWvuCW)g%@2))gVx~SJ^AXMCTuC~9<Q3Ie&(R-T4g8rRaJc4`t$Uv@Q
z>-~CJh~qL+5z>XXdQ)>OezozcjwvO*^r8-%zuwuEHHW$G3z^8N*Tmjl|5;#4N5J3b
zWH3(`;wv8dd8DcR4BXn+c#RL6hSKon2M5MgzhvlhO7!vb_n)*mrI%b>jiF&-tyb1Y
zI5=&|yPl7n+PiIBwam?dLIWD~s2daH$eN~58e{r!gJBgm|8R|v>%L8J2(xrIpy|LW
z744(H%HD)f5(Wbng~QM=U9+#yM*!;v8jU7NW{@s?&CzNVTy2ly>b2B;J#a2hZ{^pI
z+wZZUw72@8BsOh}Y<>yUK4%bxbbU_;<@JcD0m$vcYmjKKE-#;RP}NFo(7naRM)brc
z`2txtA5&nkO96E-|BdHfA8JP-aCJ5T=#vJD3BP}KP}v2g{=>`gV?~JGQjc>D8QX;>
z(|bVV%Bre{kuJ^~jnU2e&`O?>kzu5b&9&WNcAkcDld$O;!7hY&G%XnHJ$Ck-gVVB^
zfS?E0KZ0K!(&vVJ@N#;~?MAs%HJp%)2KB?M$q;fSwXzJi@8usr1C8JIX$?)vuZ699
zckVFz5m4h}-4GI@KERy0iE5wh^3-a&e27J$ch(&emVu^J$mqDZpw$^NJF6;YDx^da
zuO~tuC_PO|SpZe<>(^_x>!?XeCLvs$*@@ds3=&iwr=-s#1bQ2wAQ0D0WA>8ojjfHX
zJ9*dt2VL(Sk7fJDk9$f*R948|WbYl(ZDxd&y+`&QnGxA!WREhlL-s5Y;g-zIWUr9D
zf5+A5`~Cj+^Ov4pPxp0S*Lj`ialF^z=UFoQ*=h)S6QJkXu>Lbj_Vgh`zYCi}@s?mp
z5QN!+PzM-m*c=1yzi^peG6xpU;gt($y)iJLK;gKkD`PtiUe5@9oG~8w`BTgqqk?ne
zlvdC+(pKS)ydViG7wPOTnQg5A86r_>`n3-f|4%_{l<Xrx&3qko>`7m?%3i{wsd-xl
z;F=t2a*RkUssaM966jKRn6|FnqC(guYyL-0!V~~EORIt}0^`MD7>Z7mxp~t|PF;jP
z+fg_YlgdckbXoe=<p`bt!)CAQY!>&%Gr&boK#28JJ5f&XALy~HLL~F<;;*M{dT2uy
z^EHe)mGmdSL{i6;k&gl~BPV_-s2L`J)(h?Y_dfc5&|;6Q)1D6>`ReUd)pf^|hpQDz
zEs*U)xWOdL-Mih^)i>GnFi1tIvYb5<zQbc>+JgFoD64%Qq_{IaJAKW-C<C(u>XKQ<
z!*6WmlOW~5kgNp7lH1zI#?Pv+OFOrTh!6u9+tV^v(F}Sj(57SD&t_m|?$1oEJ;*s8
zc{`L7J#F;^)tRAEz;NTJRG)zWRwA%@*HlL2u5qz+L*LWg*Vhpz(f0l~J5}+59`*KJ
zT4N|m0JefX`}e@2D>UFB;3PZUBNw#Qs<FMZBrYHzASu~eRI~~lB0|1FhvXD@9X?x$
z6wYj_n6C_fUDL*I6Ms%^3o{E?ue6BY#X+-mq0v;U=}>cOYHo<Qvwqf2Vv?1oLH8-m
zJRN@YM6sxdn1tl(Ts6jhf5)5Rxa^&(nxNOvp*#Nd@|G+=DP8vb{JahPmv<plfM53j
z`6;&50S{TP#Ybf6w3|80*4|zM%IYveW(0i(ywGgrN8bOvC)}N|7cKQ?JaIR$PnGGZ
zk#k;;b+wuQ;s5P!nwp-vx`|*~i0BgF_Mc}R?^`P4cbDTBXM9e7?pC4pM&i9SNFLy*
z-}dCd_|A+DgA%74)yhlC1CI<s8e4l7bYS5?3f|8bptRga#2>)7HP5~xhoI7{Er;-j
zVSYR4e<Y6wVo+)f+3*7_eMEL09HyW?i?X$an}>nT5N_h+<ODc;V1$Jpf3fRyZ`_ef
zfw`rnY6@=$?9gt4=;z+vC+G2dRGRB*@#QXm-~SGX-vdz)J&_m&?$tRjy_Q!*C~!l7
z;>C4T-vd6R-&T;X6Yx&F_K2T=a*np_SMTn+77vTMtqxtI_W8cH*U5d$mBjRtp^nZm
zG?W7T{CZ9ux1mBE+QVEghBF><>xC^}lRT6<*oGs}5Qrz#E)-JHevgr>-fkxa8v-11
z8i2`xS^?T<FRzA*NS?<aUmxU`u@v3gUX;j<@4QQj>pb1x4JPB?!coEhfSrd)oKqi+
z+W~ctoKEB!gI@va2X(;>{m~q;3^>RkFoR$s$SBn5)@kG&zEG%YE?>LJ4*rb=XSgi~
zqe6L=mAv~HCmulOf(TpT2lSTXbA^bk=45{ZgpOffeW8Xk`aO$uUUxFa?wDFsK~eA%
z+JDh9;UD}_p&$KzxO66~d;uZC*PIP}j9o$5hVSHQsXhOksffx080lMk(Ni9x<ysYR
zVhk3jA_52?G;|tVR}9bpCcRU^QiG)+7frEpUb;=)6dP)Z6-_Ovf`W6b*~3RUl|L+0
z;`|U=H>A4l%mJ$nz_pK99;>O5Q>F{BNy1yh#l=;#w^7mWsULSgchBWNdMUi`p;Sh@
zTXpF_C5A+jpsfW}$($2_8n_<oErUNvdE7;_z&hWlvINc*()=soA_1*{R?7-TlX{9%
z(XF~<`B+=C;_r>Rn}a?TwuneS@-WnILK?V+$je1V09S3y`12Cv-+xiaN>3M`LM^TZ
z3~7>Hc49(;QWxX1_-=-t$`q%t*l`=mX;#O8XC|XG7?CpDW2xc|Cq`GNSDIk$LfpV@
zY@c4(F~9_y6=O@mgB2`|0#l%uq<KkqG4R&bo1gv4N4=q2Qwv3o$j%nvW6n-gUrCn~
z@9ePOBQ<(Q^H62r)X!f|PEJu#@e+L`VW*ak&iEC^SVzqVE~xbuLIVqN%^^;f?t3<J
z#u%gu>1yK9KIBuT^B)F9$~v8t6FN+2vn3{2S;D1JaSVI497vh)BGgrXb9wn!dXxUW
znP1K-66KH7)WibBDj<!camvrhN~NZRDI!(*`v#rrn_Z>5>Q7SRQ&U%+>jB_v6M0ot
z=MzP@?iyX}l-@?36-*wydyn+xnXi@~s3NxP5m2G76M3AbiP<dBYS9f@7VkMG*Qr1V
z+0YyrV;~I?2}wa-USC>5t&ww$?vEd+y>JEX9VQYpU{)6wnMC1S#AW_5w<8d4GQEQP
zk|&zvJ-k7RDA28hXYU@mE`13jMDd${OZb99u+q68Cn9@)%1lzzW6P{V)h@d&6a$tt
zv~uvajjloA9LW>W0r9I$)@u?kD%gM8KKIzpn35BumOSkZI0zB#&vH0bDe53Q6MSDp
zk2m?YqiOKYRr=1EanqQ4f`<{*Ud!*s{_uVPOalr1R72YID>%fi{;S|1X3U0sR0gVl
z@F;e>=e4_7>Bpit89W462xOeHEjHDd;;|>D{v$va2PL&01=Ei-88g13T=zKhE$))w
zs;*J|d(rB-veiz`fZR}0f2V&3N{5r;FUp%=p$V;pW(*i|SJhvL<_Va`h*0Pjh+<9<
zR3OOM)kG*oo=9QMEj9ILZ&)n!!>DH%j_3j5a*($Oh|fcb*E4aZTTr-Uuv-`Yynqi^
zHq!go;Bjn10?}FMxP2}8OL`JJRX}<_&|m>n;<s8@z^_c74Mj~y1c^<mI}}K;RdV^&
z!i|1`{elO)UzX@^sw#{3&|*pE&ca840e}TqYT&;%5ew<{fX$Y{`mY*eE8;%z+LxYz
zhiiF#{S<TofDk97rZ&KP0W1Y=pU?Uj&w(XK5V7gT!5{C61S6OqL~zyp3WQCCuM^t2
zmfqgpLfAS}`3pf_@bTj=z$uX%NN!o1NXLe|7)7)Q$$Vbkib{cfwNqLYGvmtLyW{IW
zkM7*LBaB0dA$wzR?yo><WCpsZsO7@1f9eFeD*Bn==@nN$$ov><^eCsnLN+Oc0NR}^
zDys2i!o%7nU75PN4<GLb{A<hKH|37#;^N|nh=`|Ude48g1;9n&dn>@I<96cdgixYM
z`-63nD<t~qo373w@kxC>tw#0=1_lN|X=Go<eBpu}(?80>>n=(-0Fsr47}J8C(9owl
zFMx_eq&^d^XA?kq0qHGyNS)4OdUbP$Ch43*4`g7UgCF1`o5C-RKpHsU&CJXoimJC)
zDTfep1@VIXl0=1<!m}OG=GwACOc<nh(#O8*j%3`9SQ6Pn=ujN4CT^g4fR2*A24dA&
z=tif;R+@mqRwJqye4hJdyHyC}_9FPuf4j;5gPHG3%f}_8r~8cbfE5a=Yv?1KFe&l1
zOGhFjBXe_eg|A^@5K_kU`|Z)9p98}LpapqM)b(ek8dW@%pmGu0JUuNDgEAV7L^)4G
zD+Z4c(Ipb7QKp}knCSj@UO`h6KKt-@avO-AQ6RwHZUkNdqwU$>lQV$){90%EE!kP{
znB&~+fAe#Zx;9S1i4=Ad52KSu_RH@_e_*?h;^;k#+MOPnEPxf_-5GfYaSv2k#=xf`
z)_D+9{c^5<MSR0Yje_tH4uO!+bQQ}}dssCX+}8Zc#bssiDXs+yTgeg*IOc<gCw<jP
zc-riVAlgU0!orxFBGn3@{*k{3tMK5dV^juu8?PMm91#%17YSYd@sKO(e-aN_4PD)|
zq9TK^>eQAG@AzpdWh1serRZoU#<pF)zyAB<HHn)@rJme|1k5aN-i3ge-Q@uY4yS{i
z0Wfl&SIFMQod^+?&6d^^cD}AP8Yp4{Z3Y5t%u9l4cDtsR!EVo<@V#A&*z^*FiCmnQ
zj6wkm72J;S0$BYpn6ApG3FpX5KGZf22xTD%i?oo(;C>ew#pKSN2q+#>j`&8Ce=Re!
zv@~=bkg1(?#u=~pw{LtRHT^=m<}DDxLwweXfx%;hV!zq#E)K+17*7BK?aK)w#LEjF
zv>7k{l0}BJFXb(V5n=q4zQuu?I2cU0(U??dx@i4n<hFLgSA$0Q)UP$)Dvsf&tzhj$
zMnVEV7oWeJu6~a8TQ1Iz6PorTbw6!oFWthZh|s_W6!ZVkB^WJl!IlVOhTo5F;5%g`
z-$(JUonES)07}Y^wV$rJ?+e`}db-Z~hdKPgh6$Rlp$!=8`p>B80ihV_m?PmKC_8|v
zHwTy!L5#hcRSK%!zh6dFg&<CKibN{!NU^e`-}C=h3jl2wd|Jpin==VoA_jCAwpqp2
z-<JYQ{fqXsCw~JK!n4=!X%t^qVvcj=#Ov$n?MI{C>-EBJQe$-Tp&bEbVBg2gbZG&d
zH<XCnq`2<XGqnygU~+-&;Ruut?1n8qWB72BF(TvS8IUyo_f0j;%HKb#UaMF6gb@*>
zE%UtZ$Yl&jV^J|NE}^vBGPHDRM1bL0Smbw@D3~o{aPz#yxrfWLk9m%SNrOB#@+)uz
zP!_2a3@+_Zia6&2_Kk-H=B0Z8%EZ8VixrG~Q9MI%Bc$&<dM#6Rz@nLF^x6sSD`AKL
z0<y2l*3w<nhzRlTVkq6mW!!ZX^c7H}3<4E;Ti3K@U+NyP)y<%ygSyh8X}c2?v>;WT
z0euJv<_HH?hl>w3CWPX)k+1b7Dw`#Q&ANTIB`YfE=WMu+>1;+Qrqq4lhv>ryVavTj
zC<{Og5}ZSaXr7@1LR0~N<T80Xi8=M^040E8+Zi3j_HXS-phfVVrVsqoOz|I%hHM#V
zjqX7-GY||Qmj(BB>x|?jwMzhhyS|J0N}@!>llUFUzC?kj&N`%hVCf2Uq@Z6oL?q91
zig0-^DpcbbI=d`J`K#`uQoj)eXJa=q5a4%Lig*14{R;Gt0?Nh0dNz^0sVNS%6FWOQ
zAmIqTb_;{>zTUSfHQ>(Rjm;8qd4-_epZ_c4$pn>O<i<bFK1X4YKdV0}!_>xRPl*30
zl!c??&-dpvG>5*CJe68Uz1l}-r3Sm-CnxoEb-hnL<Fh{)$q%`4hP!SVWw2~J3hU|U
zgi}yqco`8T{lC7JDPBP>f$D6@8$uIMW`b#^|JxAX&!&S+iIo&LQ~0Nv;pW~Ier5B%
z(r~f9gv?bu8Iwqc6pEW6Q})!JtTJkFR>P0ZL=#FWu3mpAP>L20FHp)^_#?EkI_!y{
z&KP)Zg~4s_$gt%|%=0He=sbQ0XgOTRsBK$lNo;H3wqcM80K*z^-^l;DZ$W>Fb9_Gu
zHfFnW-={g|rarsr`Nvb%OD<gOef|B^o>Z+f7tmC$AImMg`}-<}bt2|*O{Vzl_D9#$
zKH~y<r7yk`QiI8(Yc~!?*=_-rCoW;gt@fqvlK<J>C{zI@I@PNHHi^MD=4}Xd=Qeb)
zWKVCh-AA6@AtXqI+#Gdx4MX)VI4i^vDSx<3J2HJIQ>?%f%H+$n8KZ8^4GqVSp1U<N
zJD<*}ls_GIEeoO}ju75xl2>VoulP`;6D7DGa34c+7h~&+lTLu#C3vRr>3}dZF)}_E
z&jfY9Cy4&w&jxV9<y*m?0>4j#7@M<UIU9BqIBmgB>0w5XY|y0Ivp{SEG-5_^!HE?J
z6_$d6lW4}xkOz2nO!3-@3sqEPK#J!VS+jJd_G9wv-?~cw>21+UFZFk}TOJ>)56u<!
zyc+qVSZ|I(O4)#?9R_#VFH#Xwtw^>ls8kS*n*)T!+^5;9LI^3z6YWi#b@vnK=b_XJ
zA)$p!xbJhP{v*2e!-r3#5rXNX_4ar{0mPC%5;O4jWhL39=39v_DUC|%A6>ue_3+`?
zBKMUC0rF$~Hj4}j;oEkk7)n~=5^^oH0a^D=^a7Z(!Cq+%sSHTv(@1^E!6;H6o($-F
zv_LKLAsc~cLM2VDGWIkqzKM{Kl3>0&@Xn-)Eb`9cn!gnk#uvYWGkWcEQ5l~$fszGU
z1SrnSO1G~E1N#Yk28f8R+LPmA5MG_r3J9qp9g%AVW)pC6U8o7l^cz9_*lbWfxWdlL
znkwn<2NEIqU<Ba9dumaoO(YYq6u5O%xS1tsLnlR3JnS`sIjxm7%Kv7~j8~xn-EOQu
zEaClxDAd!rQXw&=+iZ0+Hxpi~r%#u5jzZs`<}~~q+zEw&8w(2yaH1PGt6-4s{H`#(
zS0e)U(0XveK!^ntQGtPhy7u+va0aUsxNu80f*}-2u>GSUxasb5Q9_*rcz6Tcgq{x!
z45o!zwxeeIk(=@wFR~&bAz{bT`sC)2n=5v@hkv*j<#EZKqe^xVtyrZpg=fPCuAs2e
z%s4IoLD`~Hq>xp+gqP=f@UFbps7PM^Hw8`+Qj>Va!Q%;2((A#{0Pa(lJ#o7pd?hNP
z@g~2Pk{-d~m3NN-cWPVP$Kd`G6-96iwLiOVO{7aEqzz_eLFU#T$desFpb6wVpyDsn
zzgSoApT`GlbcSH3mBVFXu<-E>uI;5Ni*slnTuUk9LDy?DHAeL(XHsHehAulkk8;}X
z{don>LEs{RM4Dn&P*hA6VVl_$8+g<&P5T=~9AR7Wnm|21PT9)JqH)TsCRv~JssD3N
zm_~8lKI|v6d|mcHq_T|0L+2>q8<|2}zDkBQ(IrRpZJ7an<v51;Zr71jcyF!=TON0D
zeY)j_25}gtVN1HpIcVX_{(pc1DRdPW8UXmky=OowzmDBhRD|NcfAOXYG4En<%Z6ra
zsjJf|K(Ivl`;w?=)vUx)7R6y^JLBL4n!(2=biN-NJFS_0YtSN_Es1}?Nd^I9>_iag
zYW;wcvM8UYDrI3&^hZ_iojcL{H$RyyLNBb13%)N%n?#vr1aQsIMe-PirZ8L&X$OMv
zX2@J`3LoHFsry!LE$lsT{%-Y{U~mgo2vgDveGviWt(x*6G-A6s)Ms6!cUf7-0qjGv
z`u+!7fx0ltCxKg-$6^%1pwN)omj}!>A+ySEO14d^Aat(K*PMX{Fj><7d@B%<?uCkJ
zCxZOdS0Za-10tf4mh}f{Z9Z0h+BE-f#&T4Kg~CKJl$x{LJQDZ}nY3X-HDlx1jwBX%
zlEgiC1f)~ZGGX{?ibYk;4_=#RKwYB+OXjhrc_h^D&_0-6ZJjYZSJUTa->*-ndW5_!
zu+PCkdk~ZHJDrVTH9g`>-=)4NWYz>g4V~xeO=WAHDnS9d$CuO72r}CMqD6*{pmxCk
z^!DTsWLf16t3|*Fwt^v4{udz&hz+2OxQFk1&^WW<5TH-gfoNC3XAS2+>p%SmDWp+`
zw9j%=ot&LRX@H{JeZGI5BA<NZo9;3_J)IdFi%&^{X$;(B97A{I<k(o5b#5U$1;8*R
zPxKR?8%tHrY+h`&Icd{%vTzKmpa8H1bgk3M-CEM2S|9^|08mQSHQmdiJIl@=S)Ys?
zoiML*r6f#z|ITeej_ra5x(;ggY?gEvM8*q?zq`BJ^y0y_7iynF^!`YYM&2?;7V9f%
zT7@{y=G`Aus`>!<0WUrSA$l|gUa&XRILu5B4Z%LZ4_gZ3!$c&W?qv+-F_Gz|R__CQ
zI<iCm7of4UfUn)?z7hVv!XfN7?$ujKqb%=Q1|Kq_LV9fUp4NFu3RwMM0R2_MQ1+Tv
z$E?mzRAt!3;BLARx94BiMizHGwFmK%1Ouv>tGp@6Q-8L-nk(61ueTA6Ej&mMyx&j;
z2$JJSk?$;rUQm^V^7vCt$(Rag)c)N5&oroP4XKBZd`?zZA9wP1VxrB_J%9f~#fgK1
z6We~7l%VC3|LLI<9Y`V8rtIuNm5bU1$oiIZ5xrbA=`GM2$54vxBgne@gdOtOE4sae
zO-`qVM@I?OtgKcrMwLLq?ZpTSx2?|9mUro_>0m*W{`WxC@;x)CWb^Xe+}#1paz;bY
z?bkUG=Z~?38UoYbf0dTqIKE7VztXU(5-<Hu-oA!|tNn-C@bCcsho81ggCsvZt8!I2
zREn+b53GHg{0GC1TmxMG>>PnK>ebO_IX%dmg*cz7@89VZzFF2c1n*4k?Iq#EWi2f%
zFbYb)s4!w*4><4?M-AmXD4-P(coPbe<$h5Gcvqm3hH)Q7Kx+ZU1+5s835tNCAFVVj
zEEeNcB}9T={E7g$?#xdT|Hi3yVMTdiP7ZyIF0unLB(j9_S(2>()SOtV3Y6zJYBf-Z
z%XSES@a{V-I{pk)Y-*~{SJgw!D3{-{j;JLsQ;jj|M{XHQ3%s#birjD48u~0E_8a&V
zChb8K_NEGJZ&DP77nQB~NnLEAHb`yF!8id0>NI#A6LSA#xd)NjB;@{McR_V9=Xm#p
zS(01-=6UNM`qr5m|Fef;uSEOFTTlITD(@YaN|I8Y_QSHJTiyOI`_rKu94$pfm&>yc
z#v~;z(dl4r;DLN}c)<QJSq1UgSy)=$l3-Zo?8F2{8=`K&IL3UIVWNlvuRgZ#z6b=G
zAP=^70z@Z^ew#}X#OW>yOloFNu4Os-ozvX15W1N?hsqQ*d}t#~F@W1p#%3G^?vCa>
zj`UbGuR2A8>_*Fnva9u+-IdSY)VF8%XJ#^o(>eSx`w}J*C8w5P#QlCv6kmafmR%lD
z09n%}{0qA;C168$u(L~I*)P-l9@>Bz5ZYwGMd0}&8vQFTVq}jr(%8FuwB;b;&y1+;
z;s)2$y{;?)2_f8&lddDAi&BU)DGo5KwjKsE=fuyS^#C=&3;Koo@}pktQxHahHP`^`
zih$SUw%WjN=16~{68R44Ll^)jt(e%TRJuuW)DY@o@4}r1j}#Tw!vq5QSy$2cxVU4z
z(p8ngkKx}$bKX2odWtRgIXs(}PIIu`ID_Z6-mR;{i^Q#i=Bmn-mU%yQ#m)rNteaF@
zjAW(U-Q9&Ln2LCKs1_qZk_fSU)*D+k>8>gxW-iv@8}X@3GHUDY-s<XcptVy}T;1tv
z7%(%tq$v3&?fL+4uWQFeqgRASBZCRNOm9W2$<MsxA>Co3jOgG65Ff0hnb0TH+<9T5
z^2-6t(unBbXekTXlM&14Gzns*Cuu#rg3qDz@tM|tNDIdR(m5d^kNwF<N9P)qVW`-L
zOxC#9&cgFCU6a6QFutcSAy=iN%g4tDk}`^$a{h8T3UT~4veWOriRzDPD&qt{Ml0aS
zkJgpNv-AD_5{h%FR@+nfGk=tMy`6}5A=DM_jrZV;N;HS|t(M{7Wzq2q&Y;h;;57I#
z`;<T5sj^%8l|B<%Gh?H$ur`@dJMoGXOHU7+em&jYcdGP%NB$Y}VbQPrkLg35>pSXi
z>2O#wW`lHCM$K!eBVE`jFf?B&g}{ZO(@;L=8I}p*9E=wN|C|Lnz0hi$qjnPPGjWKU
zs<~NTa~RAB00UV9<0UlZ8edcd2hS<mqlK>$AF1jh$s#(`b#%N2@&?gqvGyJxQeR)p
z)!fIyHc+sCd^oUgl%x85Q)@4T`U%|URgi-Ca_SCP4j*Q>i7Zv38f4Q6op`4^$4j$m
zxPQ{sP3H5xdz3@)?D6TBFc$+YEmAvnhmvB$$Ej&|3)!<j)_C8JT1o$5_hTK`rlm(G
z2Q&Jxk+u2VEgex6mRWbH)3;@108W&Z+3)(9H<K=4=liL<@-3PB?loQ&CUK&>Ct>(f
z5K@w>ewGxio@}<x%oT#~C@J(R%O|Sj|0gNJo4~!#Q{MJ4ZWj?j>eYRysd0xI9Lz1N
zzRIu-0uSdX58oUk(uO!9FE<x_%GJEnjJk2WCD|;Hcd?kLqB8WpGLGnBelRQRTFU*Z
z$C_Z5$(UDSiXU8gEWklOwYn#_O8%gsGb|MUXGwNDXPRC16s^GX_G@IP#u<#dxmcq=
zrqIw3K+Ur(4u+1@eEr99rPN|?5*Bc+%m|WMKKLY6ixR!ZMirgXn)EU`IWW-S1ghdq
zmlwANb+O=)4jWEdLi(e&!Su=Ao`KYItXwFH6Cz^4N~NhOLx<m){IAl6KFqYn8iU5(
zQ~b#<E0)`wP`80Wega5P09z4ij}q};f?bD$3>7S})YR|a1Wry@C<17(fS%d=H5Wkj
zuO|Ya=IrEvOTXdcfp!j4{0dmX{=nn{fPF(q5b^l^-&ZdECxu6s%|5X%n5L{boH)X%
zZ21mPL-WZfe&NA2da~!D9e>;1pcs=SU!rn$aVb#w_E_Lv_uc-KH|x&eqkO#{r=g*Q
zX1L4Oqj<9rO^6jFK(~6m`0IG!8%t3*n4<>$aRX_fumH5Kzsrq;;U`WUMaoUNxDNaQ
ztw(bOfyO4065fqvYYmF?_`$wzZf9?<MqV;yYx(lLrs&%g0XCmnVi8(d6;kOSICAt;
zjO2Uq`X$HVXkR(d^FU2IHG}VqK}gJ;|8>Dep33jgSPD<jVfqx(lkZ&M0>lkQjS{PI
z#BdJn#UBz$NI(Wg4Sb*vT<4)ZMhv@#VCjWiR?}Qa<T-~0_zw~NpEiqZx_l*Fuw-Ey
zfNik&mVuiLz$75F;gdl@3Izt>bd0G;Ck0BlB368vx>#}-z%SK=|E>^dJX%2M5wTFv
z8or<u)dPtt(n^{VfLb^<R!w8@cdtM}BYk1_qS2#;FXq}tbU5Ei=-*R`%?auDLTsL=
zdSy<;!xPnEps#W+NwR{58In0{wyH5@(A{)S@$YNp`0u4s@n!d`oZjFKkmno!#jNP(
zcm5_85@E-l8d6&*E$Gql;`ep;f}b;s-~D)4rIl6A)#OVl!Ny5li!Cb%Q;h_$(06Td
z*P(&N;jBY4Uy=AAu;0{z<M-pok07WmDuMxj$6#;WuN#}&Mk1ai(;{735Lwtn4SsB&
z1tI3ArJXyfNWYCp+ddfdia21dPQadfyly&L0HG3f_4P-fupmE2xLFL@_}Fst?xr%n
zW0OkTkH$E`SCaJCS}dkBI!x4vh;e!270`}7fo<j~r#iVEBqG{NrTan2_nA^s`X)0L
zUz?}&SY(GfxoUXCF@$Ba@MOexg+)H1%W9UhL|uxd!IHgHPKa+Bwn4^-B@MMOxK+)W
zG<H2%VS8cu76ud2Lg!D`2k}(c->N^lec(I!NKoLb7PX?@FN~asm@v%D&_59Hdxy^g
z0s`zoD+ppqa9twlwMZ)Zr&I5A3EyMjHlR*^4%HS+40IGukB`@Q@&roC+9`14jFIsv
z<ups3fhxcbv?~8=5#%D{$9f|NEzf>DuXP<WCk~Y#j{NiOOBlI=pTo@%(~*+X%hy)N
z$5C_yn17sCB(%k*Zm$k~OdwJqx*~-)X>}7+W3>}eLQ~By4xL&c7d0JLVCo|za7Bl9
zvHKj?j4?QSRNnKd%#cT=GdFSIo3eus@!masO-<!Nl-dyg24uiTJAOK`n!Q*Ou0V%6
zZh7jfs}m4-3WqqVY>!>09!v-C6T;7EbLqAM47|727z6e;B<4W&lX#@CYcg`I2;)R_
zfN-KOa^eb=apdw&P(1!^rnIWwnw!*j<|4KHL%Lz6L|Pw{!sNnl1Fk_g;_DUsRn>{X
z9K;HEU9%s?Hrzq9IX}VcbX*eQeG71+o%2G^%~*}>`v$?GT15(#Sdqz`ynsgyTMLxA
zI%Y`Nyp$xCk27l$%~7GvRm);?rhU_e@^vS~NN(%wx-K56{m-3%f#w8#V_CM3XQjbw
z?H92$j&#ncU$Tj+rWjEC#Oj!IylKMtAh42P2EYr}1fS(1rG%ahFOQ5dilHZA_I2t@
zcE;fq=lbj=20prw+&&KUh6}b%TrL#Vom#>a5}r+HhGpV_i};@PSWKpH==Qq8OVbOU
zH8_#^O!^7&9Dl5QaiFi-6Xujoa$|{9&_Z$9xK|oz0dNAjs}%5YamDcL&vuK-RWi!a
z$wmsBr)(I%8E?d-Be>!`zN^jm*UMvP@5l$)W|>9M&lMD)f__r0iBuX{@5VUx%Wi(k
zCIIpAtYflMraAr<PRvUI=QWW4gWlE12kyUM@DA=(95GQ=9i7T6JTyJ{&>C?x*e^A)
za|wxwO^jXP&L?HQqaZy~82m+et>75L=n}d0*F#j_|8<oZJyO@u0L?2XfPj-nGFH=s
zN_fk&PNk%X>V|tao=A9G7{Fh~5RM|&#<evz*0sk`bf6;8{+->{pJokb7WAwD+(Ywv
zQe-Xmz!+!nW#DSU6{+uWl!-Z%R1+(MvbrbJDNQt3FdAd|qQpwaUSHqRk{N%axR^e>
zvPoPat`hPb)YWBIJot%Zy{)UdWMp;9*{5k;=oE*3?qP&|3fnvX%5AF^kR|^=2NrJP
zPg^tqynTH)f~Da_g>&@r$j{y^PKUnK*d%y0<KqX<<UnTtL99o!<D6NfxV{ZDX)gBF
zTQL$6eBSwY`S@I54~KtXuxa`@+Wk$%Yop;XHy%+s1&cB{vNbNIN-g%OTh^<}L>-?$
zOUtN1>W!@IRnuPUYM6ZCC=5>2GOJYf9w-cFr`EGErQ{zzOcRs2_@(8WMkg~!jIMvM
z=&sPX)%2N1>*yAqTzU?8oCKeo2mY(k=s_C}T6dr~;HH6g1`ji$BQ8CCvQZsKi=*$z
z1>>np7)n`21`~CLLeT=0pOaGsj0zE^uxlw3RQM4pH&!51{vQ)RcTMfPa{@Im?~1Kq
zD_Ou>CP*FwUKBW~VhDf1O$F5@N{u35=JN-03yZ6l0wVGks19=_-t%f&Mmj}wnRjv}
z0}z)b=`LZ9LCR>Fk8>|l`7rGthM5C^3jF-X`3sS$X2cKtE(>|2<+@tbzch!4Y&L94
z9O82^a{8mwFCHiJNWvr<nA}@1DAF}{>URMGBFU1X2*>NrQp`*|_NIDoj~||%E5tKJ
z1y5?>1%WjcD%XUt?0l;Mr{ZDcfHdT~{~|2h3H|$f9X=Sn6n<YgBDYKFaZ!;o`b6Y*
zrtngcZ2FEoLpIBG{JYXKIP0Bt*(@)We!1zF7Zx6UC@OnEA|^n5Zx8)olEZqFTFksc
z3mENJ=Yg_RrtDyzp{H+Op0=cTLBc_YAzbUYnnU|#tHV@99`Apyxov^_Q(`bS<fw|M
z^Oh#O4nSQxzSAIS;97DqDNRkLw}QhTM$xVBdXixNceaXwwba)B^M4koP!feWlp2vt
z2L9Yoafmp*!tZPr#W=GPku*1|WgGnI5*IqM(}s`G>-$$u7e}BN2t2SFG-(3r&<eBc
zx&B_tn{$6U@zM1&n_y9CC<8~kqwpi=TXR%PL?Hynb-mcw|8s%S7?7HBCOtIjHC{6C
z@9&*79=)Rmt(Mczrt~Hc^0k-Qy+<U8J-zAc>Et4-G@Bp;3YA~zMejaVBMeP_dA?j#
z?|w3?Q4Q+jc5kP!`JE$prEkmpoIn_)o-VLbL3wMs^~L+eCu!_^={NqJVK0P1AeHLk
zH~Q(paOBE4#-OV#D!Xk%aLVGH$Px)znCrh@ui7z_Qmqj)pRh18Sfm!;{Mm6+`Xs0e
zK0O^LS6-x~^WZ5J`BnUMh)G7%m6JzN=%MIRJVgzVV@|2<kYWc~D}Tp)CI+5XneU_u
zq8D;DQQDSCLG54|=$bV?4S$Gz510=pV6)(CZhZUJ2zc_#dO23(&<TgV2V0nEoz-AI
zm1PR77z`z&N_G+w628vInx*ec23_gs)ZW5o%b)<W72?cOLP<@bspA_Thv=-TnF79i
zLLL?40E?x0(D>4VRJ=lqR4w(b0On=tqxMo`O_N>*?x>yd`(x#@=@#8<d#vHSf5tnk
zQlIGRHrCeH4EHuD4XE;K6(}gF?H-V;_Ed@kAc`rAg(n7N_fNQDh%D?{+PUF#W9bwm
zp7*Xoy2y{QKc4Vjd5cp)R_aG1ffOZBhCN$`c9we@4lLN+!R3!`{0>WfY0{*kPLC5Z
z$?o-(LSYLQFZnd)Tx)%N%|W-Sw)Jdowkf*`EqKvixqgNBRr^W`^D5cBSuFh4Hgh-m
ztUslr!Vb4W#DpoWt<gPeq#hB7`n0IXOJ>^q_;a^UdY7rmlc*4B+SVCh5D9P7-tQ${
zQi^Ejadt{3Bw+l*xJy5+>6U#R^Ae~*L7%!M87+Iw(!ejXXW?6aztHtrxZy_WaSV6i
z4P#>~?ze>KRlwG#Q$=HF+)|aznDj?4qoicz8hn!K^q?O^z~|a3m{3_<%}AgUmpoy%
zy%Q=Iame4tfYlwBZ1#p%sq#J%?p3+vy{Jq`DX6U<vD{drWHOZq+ZP<QFgK?S2-&{Q
zw#EHcm}v{*BSW`FUAT#4MD{Mm8mq<{0D?NT+4Ow{QjMMF`308PRNJ07yXTMA$E?QR
zp3`!KV<-$JWm}29eHL-)%5?zCXs(dGwfeF6uA}w-z$Infg6Gd((A-F+zLa|?@N(lz
zg{gL;nRbmuT+$%p^QBoO?=$K$lm@}wheX%Hj{P#fxCr)ZKMm}vLQi{_Mv%n#UnD%e
zC5mG(78QhN@mcu%Vp=`XXOUzV^2Te#WZ_PYu|pG9u9x~ATbuBy#hbhY)I4DyL9?Ky
zS10%1qf@)S2yk2kS$)YBp0Uq(R=w!k>LE^9b*ppk)y$okjy(&Bk&_m~!pGwq?xe5s
zts0t_hd%yaEkIdXpGDGBiV|JYS16*=C&gKz(nr&zFT8Ihes4edS%Nve)6{y>*h-(h
zy}hm6(4oRBCgy#5QZT+??~?DmM=E!Fru^E<J$tB^AG5+)BlZ9>wkd0rkA}VHoR2EF
zL@QR(&b{v57(F+6EbvC%bY&=JX=(cUX+F(Y-e5d+MfFuByf3-q4~I6~XD+1I)H#zZ
zEiGf3`RaY<y8>ciV*zP|m{0Bs$HT`qL-VVYUw_EdJ>?m&VE6b+a7;NbNN^Y%8~eu4
z0JN43^gY=uI$B!G%_paMhR1ngkaUPAqt<LN8ere&HJb4QU#Osw+0aL98wdN}<}Id)
zhsn;OXBv2qhK_FLAc@ek)U9~<uWwc;%o!1<YISlpQ0(rlW?9EF)*kt$p~S!8z4PvD
zOV<B&rgObGR0Hc7g%<A{Vk7z4q_{FNoo@Itgy$x#xOz>Icu*`oyI8(>%rs&B=74hh
zwfEWl9~z$*b{`e^w%$v(x=hMmGGu-8#P5#GfSa8CF2pWDwo#V8s@_4oeQi&#AKUye
znK<UgYfnPM*GRiq6R%!5k~wqZ^CKIMJbvZD$`S(|PWkV{GJB}UoJmVdOD}1*d?j%o
zSO_ZfW%b{>b*tPqYot+LZjIE%!`!Ri7XSH|r%dxgI(V4i_xw7YqO+wWxk^chAHNx9
z&k&u(apzU664R*fni3PAm{{8N_jb;5`a9!v_>STr@{H@A&+x;2VfRT%bUdiX{<DB_
z8eIQHf&XzqkN-K$V@l{Y^E>eH_ZW^%GzS_K>@yN)yMrENzkGjv+pnsguI5<@&B3}@
zgQe_V!i{@b(ugZr+j=*8zADVUF+-j~sXY{*FxGCOS6oCyn=^?^saLT(@cmqHAj=R%
zW|oAo0TopLWMr!goxSS~_DoblXGNbVUN0*Xk$wq(|EnS2${ucK@o;keZN-aMAxZWu
z;{jOh9|oS4coR%>M}GSB>DIHe)l;*+`9#`}M6VW6^4+g9SE(tfsATcY>z*28-)qX6
zkpI<s*ulklarDse7-ohUKF1s>9X-=bExyQ)Rg{0Q+X)xnhSuOrf(BdiPL<#2EzMl*
z>#4fW?t~{l7oJU36pc33ev+pSr({a9c5<47z=TxQ?W_15ly_nZl}03d{W|%TXAZpW
zmN<Ii)E6l%wZf-OPMoWTlN`gkxFZASu=3XuM;t;y%+cAXG4*UOL`k(rXgXtcbF)?9
zQh7Dh!98dDFyz6Fi|p@_IQ~73ypiMKBLzC9?3}Y47&;aiX>?5aM_;Ko?L&|sUm5m<
zd4|k7#29YAZ90{$u$$n<9TZ65px->c(03o9BiaE=)7U#N9JFc{8)0D(@6G%#dHFL~
z+44Ays7aj4ieJlz(~$B{2jj!z`4)b-+F0l7r*1x;pe4k2;-U6-6k;A6S+i7Br50p+
zqsW=$qCd(VS-0pTJ{|V;CC#$k8zJ0w_*T>ulw>XO&C50`92|N!J$AV%p(8pvUA?fM
zf$W5>r;GfR8apveX2Z*dE-tN)1}g{;8he{Ff8LY@)`Ju!3%(H|3|mTz@yOs>t=`6$
zC42!FFg>TC!fCQU2rpQAHue^^_+mzhp|#v6Z;_@q`~;UP<op(Y*;V@?Zhdc=Y8~^%
z8fM*07KTZwkU<MElMz%Rk^0srJqUgIGPli*TRgnFZtHEG&(}Is>XB0{Qkkr~i_1v;
zIxtxD9Q|0FYBR5~!({szX$$W?%_l{66V2O9E)rO#z0q^FvSE|cl~RntZ#AEgkOd}v
zoqXoy<>lnG-M1>!Z!%*>S9!_!<o5vg`ohMB`^i{6n?N$vj8I7eD{+LUQeei*Fd^gm
z6AL}Unx5l{uD$8V>D-j1lbbKhA=0(aVrTop<?zcb74K@AbreIl^9?pDs`Kv;V3rF@
zJ}8|&&{t1v2&t+*5BQ<OE|_4t(zK9z72oL#z`~2;*KV=Wt-3c#;T_VBrb&@Hxo%J#
zDAiXvFxcP451L$YP1eSO5J}$||J3E-mAjNHkFI|*<B=5Lx1HD@8ymCmp&NCJp&&gP
zSWy?!G3TA+IfShkvdrcRy_#F<>O4!_jqef$vl0045tTnhZ<a1{aS1l+2tK&Yt02YI
z!Z*iy=1F8#dUA3iG*^XTTdmA$QhR4K$gUE-evG8H$VvQ-1$%Oqn1}r^(Y^3&(Cq6q
zc|!7}p%27U{$cORP{rbrkdP1)J6Z0R=<S6q`(!JGijJ<Q5@xLlnLbB+ER#22>84!4
z=h2vm-?*)BP8q>xKcwq8-P7IZhbrcHG^&(g&%h9y&^xKCse*zSTrkqb%74@;HE2zn
zwsx7QAt5HtP1yGIF%^n}VPZX%6ffg-Mtv(PGxa*7**oAbhEu|v>rXBAOgKv0Z3>ny
zzqE{eVpEurzn<>E>9JuYHxxd<wv?Ym^KX)~!><C2F{UOFzO85UwJyjah4>>?y5o(R
z^Nnhzu{Y|id%CTA_5HqoK%gl~aHvZgghW_wZaN62LBA=DHBqBKDsu<s%fFy3IbdPL
z9JIzkznNd)sj<VM_3|B@zhQbMR$co0oB!Cdz9UMU*k$v*mQ4t%hHD%@>SlpW$Pk$#
z;_rU}^3M;nA|LQfTwVFG0!=rSL|-kV)T<ul&M~olQl+FIr=)D&-hP#$Tl$2d(8k(n
z!!UTH0j-~Af={SF;W9dyP5jMtNf8FaJ$tqcRPdNZ+Q(~Dd|P5&qJ)Q_mQ4vo5{}X$
zpF_@!<UxHu)TIyC8avJu?gk&Z!}XtptTn_?Q9NHb{779E*Y;KEZ242H0f%low@F2^
z>B9%u53m_KzG?3AJY@QvudaCAonomIR~rle)hwv3{ZG*y){T7H8=kRG;udxN#-D^_
zzgI5=EiXNJCEK*y6cAb>(S!E2Varh-1<@3wv~&|Sd?`vW(7?U1nasOqh5++Fd>Qo_
z(&r9O^O^Z$9|eB4DIl1L?IIm&#BXbkPVpopIP9xqvQ2Vh+R9T83*G-S<sHv+a<FMg
zh3NG$gy4C?85!N@*JZbvIw`P#%9rZFLFWNEHV~zHu;gp-i~F~=*pJ>odF*jMg8q4v
z#6l_&?jLKF?m1y$VNa)<`L*p@1fDv`Hr(0Od02grmm$CN)}}`T$%ro0Vs~H4>Tybk
zuL19`N`VGD@k^TbqidN+xX0dAEL!LK$zQ*W%I%xf!$TPqvcX$&Fw%>oJhVpQQEHI)
z;*I9oe}9a7Ki=V(`7UdJP22L)jCFPB@?vqLw`4TzWXJzRz8~i9=E=&*wR8LI>^|-#
zGGO^gtXOGU@$N88u1woef}ekPK9+3YijYO(;`poGMk%utYo9M1X6w185+5vu-zY9P
z*ONO8J>wVeFLpZ}+==pfo5r^PGqc$3N6j~}5uY4)5N3l$z<#J80+OCRo74-z;@>PN
zuz)>)uTGfq1$!~4H$%nJ$4BojBT}tkDOmp)C2l2@X5paVr6Yc~xRxpDt$Wq$ND`wh
zx)zPu@`y!ARW%EgNld<C=*)W$QN`!i5%Bj#CU_`4HVt|zeP;aOyKEXcESxSczc<(J
zq37rsuXV_>N`<ZROJO0+k3iu_*NSE0okAG?%|Zk_#na}8#ly!d!G*!@LMHZ5XzBhb
z&^>>#h6BueUeuYZ6rPf@a<iyNwGnCG?Rt;kE-qzBA#r{&F)?v*_8^c@#ax|}w9<Q@
zoBd|s&bQ^A4C4%Kqj$M=WiJf%tmt6GJ2|-^M%$EC2KFhTsyNTRduPKCSO=k3+BUtA
zSfz<%)OCqIK;Vcv$-1%=$g_q02ZracgewiM_vx35{)He`5F?~0<qxhLw#*bW7_ty~
zEzFEI$Pmfs*hv1q&o}dkyPOb}Dq?c8of|8#`uJmcJ7^h;<KqSLQb*D0awr$YGc)T|
zD_WSIo}dl~2b`i$ZXXrdHc%v^zEqTT4YLo{Dt)>`AI`S_@qI`oAvRqlLtfN!*qO~A
zGAICyM^f65Ie4c?z%i0#e0~HOOR7G<359MRj?}j7#Xur1YL~6`FPjGu4SbU}-}_ht
zY$O*g^f%f`|NYdJt{v<PlBt)Bt9(<B3r)t{xmufMEtrNHN+{k9iU}1}=W%JAf{AsC
zh46so?>0{TNgD<*gFgI<Gv}`Mqn=$dN-m}ZM$G}Gnq1tJxT}&a4t0=!`(S_LvTb9C
z<YC*z!8b#PL-RKk-~8{_$(6$9I&640jAV{MC=$dQOCA-f`mQ3Gu(9-VFvd7%Kp32U
zNY+LxWIgpl4(2TUy#_fsq@iK7sSH2k2QMM)enc|rilc5jM?S1?8cHKTXm8LVd^gW-
zV#T#VDDUFS;g(*rdD)Zp_sipDFg)x=`&iqG2i^7dM_BkJPJ(r!`3HIC+MpSH|D+iH
z576_mv#0<4<|bD|@Z^1t1z+UnM?#{u%lBBTz28d`M?f6;q?sIZTXTo<S8DMFhsK;2
zjpL$(p6%Q%;C(%x>_3}?J{%kiNXpryumxz_5I%Rrng{`gF?y2gAF~2tN-4=F!$7C3
zh==XB{t0UKD(lT%awweC3x{k4`<ui@(-i&ZzjuL&52EFXBf$E)rX@346r#rL<&fXp
z&l93QsL6}9yV1h#X{fGfVUSnnv&qh*uTS}b9r2nY)oaqjCDF2<u9*6E)#R8`zc8y`
z6TdVnHx`FPPtPID7boA2{pTU%{s3~rFM2H{b|9R$bhN=G#auh<c&GqmUR=hK1jwB(
zO-@ULfB{kWhR17UQ}^*=%^f?#rbUE)W|jA%(ZmrQFjPm0>FL=%M1Vl22h7Qlb5siM
z1NVlZ{Vy>FY#pYjW5(Cp9pN0>)=`#I8yDmn5xXrJeplp|P7bzBTU5oOoclpcOpL?&
z(kh3244;sLt+ML;mbYmcG@!wF0w<|2^R4!Yv6hMN=JBVR{@3Qa7(K1Mzqfa`)_T5%
z<a|Sp^EF5bE+1Wk2vaa6Bl#q1J_y_Si};GvBhI9lR(&1YJMWk*RK!G$cYdo^DLzhh
z=rEOC_c^Kvk%N&qVD9<0X}$<szfS3Xya%U1^Rsv3VIP&gCYXmxd@U3hHc@VIGFk1S
zPk><|;G$v)-xnZr=o?K|;3J{vd0e>>d@E`fnHkV-`3wFz4SIS>&NrgpLd)*G`7v%r
ziHxRc*(QHU6B_!U{<z_?DmVV~Opo{mUknVf{;TYw-<EcYM_?p1?3KD|NDH*k^N0|i
z(R93e&$eDfWK)yu9mBoHjxO4BV}*rZZ^b4!dwO~vdG{<hmp<{{JKa4Bf66K(nn^<}
z{oQe#K%14}_d<Ay&_bAo28^o()C}S1Ah*t>;_l1=(y!+|=1rNbvQ!mJo7##=gz-5m
zyL>3gOxEE9Yn*ps?2EZ0*dx?q)iw*3^=RdN+}->g2XkE*_@WZ1{{Su$W1{!qY|b+O
z^bvk6QTm7H#)W%mRO5yf9Ubkr;e0D?^^R#_eNpGve~)||ev0rV^(>6`Cs{ORlUIzO
z*h528@{3x`yUt1LdF<VDEv&0`Pz-tOMAu&#f7IcaIpFAl!85Q2I#)|?lSB3MSn&vV
zz(zx(r;#m-><$mEDOe<;=Sq(Cp{Qcg(D<OE=k96VyBLIv;g~f30<%S@6h!*PkmP2~
zPX@MpTibOA*Go}aM3*D6VUDBW+3%lT?W!yh>-F>QoA5GUuzeZ)%ekX9uDQG^C;!RQ
zrsrNoPh+D)0cRnS(NApoqd%K^XC)=oP^reHW@7!dg^5M~4igg-umQz+g$u@VIZ)a_
z-xg#HTvzo-z7-QeShf1v1Y;frC1u~z4g@w#Y{;saX+Pmj0VTN5k@v%bLDjttYfa|G
zjAFt+PZ@m#1w^8&Dz5DOhw;bHBcaU@I5|W@Ed+l0weYc&{G)9M1uBPlP#8JyVmXVP
zsgrKw8~f|)woolFPD^8ry1^jJ(TweV0yT|Tk~rGuR)xds&*<ow`o<px9x4{POA?{x
zpBrqFd-od!v{WXaHe6Yldc;?ipoCI?jrSWO+a$&P(MitT+zsm7v3;j!DJzj9(AyP0
zUj33{Md!8t3kx5{-2zGzr5Fdr0^llp+ebcrPEG?i-e*0#EBlUtE>1}yt5RQdycGt5
zKYMWLGDclUiDbY9C{%X3RsAZb>}Nb#u>z6seIyvWbvw$z2SlgMFSn2t^@kHgGvL%>
zR#B-W_PdWVOJ!%g=UgWuD%#LuH{Wgcx8j;ybOvX&&(Ad5Xu1t=2|gUDnmFvQe>gmZ
z-eec^?Yp`W*5TzQ5J<~+GnAENGt)^)Uzbu!>{iF)^Jtuk#;bazV^24FJDV-Y%x`Y$
z&ZmdcB1*eIDy+W#Q2e3Rk0>K+K3Z!i?kWDhCbcyf+<l*bFii(<XW)DaGGEHp?0vxq
zJz<j}8Qq^Dc7Q}0WvG00N}oAto;iVxdFbhG!4wLMsv{5){F}p#;3|lv15RP^c!E)R
zV(cyQ;A&(Vr#RmzGOH+!kY`W$IvjaSz9VF23dVz=Ys#Ii=($|=yLStmx4*~aTG+8p
zZ5+eHRV%3<yrH|%Fd~|$ir2lMy*<t37{MP~X(yI7cNCmY9XjoN`dEoKc7!hDdkh5`
zZT8cL8WD-zZ1#4%mO0P78U#cJ!`RRkl(d+!&s=3jhRdm1@nXJuY>c}x`&+HS7JidL
z7<Ng?XWA{Bgt6)X7C`WJ>G<=T7)D=pEiYX>_1}96;R0IhNZz^k^1G14n6D-kw|ti$
zP#=E}@muonTcU?qJ*TIqNHTgkjBF++Lc)XF+<{>7-}!>dp>3S9Ni41vLov*V^9&SU
z`xwm@6CEwFaROr@qXr36e0mRZg2S0HMG`+T=;#~E>*!fW@9Tz8PgYIdXgO$UOPp7v
z{OMjW$a8}?;U+!4)p$nLE5hiJ<L{pal$bP1pH$<WS05-_>1SCfYn~O6bj;;eKT*WT
zk9}XG>Caj+Y;8=+srvaq@CRY6Rq9hYd%C=#Hsl9`uRQby#xIF#H0C){H-#=cT<kkM
zwb*1sBGCPJg#35NTer!ZW056#AZlUHPo|?W8vpbmy18HqzwBY3MSRNWz_ilcYJbQV
zt*>w1JN_&!FiRS;pUbo;svi^hh&$GT>~5!ah%xCt0RWRkGSK?RfXh6+erWshgK+L4
zRDws}Yyzdw!j=)-cfj4Cw6v}!+uk!4Q=-fce)7J|uk&_RQbUUoxF}#8ns|R&Mn>uA
zT92vTC<k!_n7!R4*F~{tAut*PI##Zv9@H*Q>lTjCot=o*!w3{Vq&T$v6Mjx=e&#k?
zWNBjRX|}k}@NvYLw5)t94UaCXzrU|fKlyz@e3)&j?ZkT_ddctkv>MoX2`r106E#bV
zi*R8Mnj-j6pfu4=NH_9mQz$A(DSnsdP3&h3@Ay47mTaz#%1z)6!fTG&d#YeT_g8wV
z=W{t5PPsN7Fk?}&bFjfMvs!99KjXz#4|px$RM%Xt#lC-VP(HVF38QU8$MO;s&G`id
z-mSPJKg1?RM{EDjH3xqg&*-=JpFZ=F!o#9%x<91DI*STc%HFhA6K7iWs$7$KqZpiG
z$fkM}sD1s<@l=ga_8d0v%SX&NWTbh?-{h}eH89MoJ#C<kmB(5PT72cj_1&PjA(?>J
z=<b3Wc2gV*rL)$P#FbT&X~+CInw*2Av9|HA*%<|&SaelW5m?Lx`=Mb*W^N#!OeB6T
zjVJ|~2_3c!Lm;;PPh*gloPRg(u_Dep`}CJ2fe9vgLm8vCB+}d(&5XrSUHn~-0)ud+
zr5Gx^m(5J2TwFfg4j}4n8Y^-cEw7qc`WeqRl?O8%f|Wj3mYC4`oer77>?b$9wav|o
z`_1Ryh8{D>oUHa-RaKPYUnc#=Th7+XjQNuZhZatNux~%3$=wMCzWryQ6py8<iT=9u
z8_`G9w5686cKD-uKCh}Ycnb9$ydzI39~C~9*h%TvO5FSEfBMw}k7}}2yx&GJ4Z6Hi
z^Ke+=x-g*#N6Oyk&5W|W9?k&yhx0JciJD+MMcF9X94Jn$_kuf)*L_Nx9vz5F+RLds
z%Ka^&zpQ{7T5&z4Nw)PcC><i6lQNVT!Oo@r=A5^1a{gI8Efku&&EL^;xVX4JFqM=B
zE95f^$%<{RsZPwzx|3u5(F!kt4ew-;JA>+ubg|E>b)+ACjk3obtIFy61v9MIkV(*K
z))@|=$n-5_w8tTg73hNq=D%DQf4L<0D`GfW-R=0vkV5<XH`lod2%?H1NeJ2qK~9~q
zqvYqnpzCpRNnVq``!B6>GLZ?G6AZT75glKtrp^}A2&L7F89y@7#l`)0+UQ&vkn@<C
zwRg-*P-ne<#$x@ZIKaY$>8=6+$&cA*JUlknhLh)u8F$AwYL-HbQGGOeSf?K=<D7D)
zuhVmUd-KFF@ncOpw_b}M%s4mK9vLpPy$9o#Jp!gBTEGAONOIkRm#Blo?#}5vy(s`%
z5S|squtT;Z@$Ow%*TLD|#wpB;(5*#BLiFGR)VwentjYcxqkhU*JiNTW8-Su=f1}uZ
zchE-yi8F^ZhKtjv89$H|h+&htvs$#cuBb!f^nBf!D3p6h`g#u?Ef<wYg9FrnY?g=#
ztR~Z3+tk!lI#ejyFkB4cuaa*(;NCWkiQ-6#&=s0FxYyrfR(fvFPG@S-jYG$z9G0xe
zFvgo4`m_GWrF&SHEG$|onVZQlQD(Y<I$uyy46J*JBin1?wFMxkWF1~{O>F#BUnT|_
zgApCkS(!SVEEi*+Vzt<7z$~f7-q|ap{g_4`Zy=*Y3@LR#!nO;3WSt{MKFCBj5VC+|
z6!^(-`s8Z`@%01GDE#-FO~XFFC_K1Nb2m0$$lxAxp19*Lj7(S(M&5AX0_upwP&7~L
za#^HWh-Um*TZ74|%g*&azfYBfUKjcV77Dx;I(wZ*^B_z*%O*_+i#BMvuT@TsA#Vtk
zcvt?rn>U(YgVmUO%~RZON<Rn>Aj5@i*n(kfDmVA{i6#qDS>6<wUes*ZSYy}I@H+Op
z^_%9)vNT=!Vm>Z#p4XZHa6o<fiP{#zm(++jpnDV-RMVwtHi@USDdMVl{CTIzx*Fbq
z(H6M<ZBMwBU7&P_*}Q9PclKoU>kY~YBf=f9vIq)uO+Una>3v6hTa{I+qzj8~rh&Jx
zMau>s`>qUK{*QbGs-yo5Z>ZlSUcc;pz4ove$fN3!3%Kne&CTUPGj{pyYbqj?jP$b&
zobC<(Vb}(^oxeW|@jncSin{#vr!8;QXbY3~Ccd<5s_SZ0&x$J<Vw9h}H$Tp?FcOdg
zD1S0PA^xzB=1%#YUt|OA^^<9Srqgsxaq7gpVfA^5c4=ip^fh)tpK->*x<A_B?rG<=
zZv%iS&+w#qs&s8_4O+xX8%3-E=k{swCZq6b%_b`f^g1~OMN>PRK5eCKjp}u}hb{i_
z;j?6nw%%XWX2FW;&P|KSH)AF$`CVG^&aL;Y?KnIGX}eDXDeS0}gip*(26k_5Hdk`{
zeOQjhod+;%Q=B_*=<u)(?{`!%-;;@<t30vcp<3c`Q<A*A&H!2W5zD}V)12zB>tloQ
z!Y&At>JPDW=mR<T*1u;xLey2}Fl7|O_TEIz8yZGool@KMJeCwC30;=cXU8VuW`<#b
zp^~p_a_k>R#<>}OSYfiYpv5hG844?aGil;=8^zb3t^WQ@@rA?I&DZx83t`32%(Qke
zT7d9~n3%X>%6{|VL=8X@?;eePBZZd@hrqK=ch~PMjo9spn9WaA&?N|C`_P^@xbpQT
zZmp^+m;1b1c`0FjVjy2iFPIAdEw!-h&=m5htIW?$YVfV!rAQOkm@qC^gn&4++UCKu
zFP}^8#Eo`ts1+hQrejO9jt%}i(Xh@Ul4Viqd-uEMZ&Q1<4l>W9Y8&Ij91!M>!63A~
zJAt3y@u^z(Jm{^bB86xrTYR^zhAXn;zk>)|^}_#;rt6NU`hDL=$f$&5Z?ZSZ7Fiv$
zLzF$TXW3g4GRw#&I|)g4Rzk9pacq^n_saU+r_c9yUj3DFp7--S?|WU>ecfWAy^=Zy
zkG=(m=l#m-Bv6&z`c?Y$DOUa<j5Yf4<K@P&zJ05}_qivc^>2NRmR^JqLuQ33ESvb*
zmjKl3%YVs7IWGaAV^h;#L}j0e@=-<oHfmwc$#<@p8I9gA^uJkg*lxO_0`N67C=M&*
zB0eO(Y;K*DM~aJyQPRE8_#9AsKi?@0lEac@wMQyc>A=zMob?EUYVL;@uRYU_8_xky
zOT`uDY++sO4D*2KQ6i>7%1d09ftHq*k`mm;J+eLhuO;sZrX56q0RojF%Fs}=no^kV
z;++4{h%yu^1P4+Zg%qkryz=Csj0TH^`-@7s<uDFK(mBm@#cvwaky7`kL_)dD6>mw}
zD&{=kRA(q$wm3aKh1k4H{sLmeN9EUVzPPTrU`DUqyN|a=Zrr-_{;mq=4F-vi<L*YE
zb-{KY%khwpHwB&pV_dlWfpcNC<-^WLA7R=QoA9!HIF0KQD~SFf*Ky9wG-qaG3dilw
z#Z!iQ@wac^dRS6YQ~&mlQ`E6iFbmhE3UOx}OUcqvIHb;FNCfYt)EkW1nNwE7X?*%G
zb#jez-q#?vR|F9JLtNPP{r~3zRAA0rwfun^$bjj*8+G8*WP!2pYHZI4p|0<e1w(Hl
z+vX<cSI(}8NlMm(7)iT9zK^myc8i+4R`;xhv%2(|09EMY_{2>Z-fLVI#`^u$Pj1wF
zxGj^=#pn-1c9r9fXm>Ql_}aEq*`SOqYpJusG>e59q?c2}IM|2}MsTi19qyA;Fj3jZ
z;&=s!EfcQ884Y-HAV24F;$~Z3^o5&d<VA`^<K~^cb_4C$O8{e`^)H%~p-q~!>=x}m
z9&l4Iy;I)ayOa;Ie!Qv>&jf|Pq-&YHGzxB`xeltMR!-jL;=UVZR-7vKqf2hcd=xQG
zae(iJm&={~fH|HQbAkq~RcpTw&Gz+RLWR+@Qjbqqh>@0;jF=Q`^)_T3Jp<Zjm7G<U
zE`j<KajzVgDfmr5g4-L$2Y_aDQe-#(O3z8z&0~Jus8Q-7orrKZ&~FUw(BpM$rHWx#
zkH-AA4<VQmlj(x~D~k@b4E04@r=ixj1uRS~&bFmLKFoCw_PI%byqnRe^5n<&;O%8=
z1jgs@&-<DOXN?GdPP{(D(*>{8r`^Tf2^ubwr2WL6%~hJ;=62tFpo;gNr@!fG-Q+rO
z5GzJ6w`w7m#591fUpVl#7aL)4^`Fd1GtuDqgcHa11!iVWj+rMf(yYg)q8KP6c%LOQ
z=~wYw{2NBmCmtg#A@RK%ZXBSsp!um^k{VDrU}mPz?dtwajFW}wD|w&S)hkzU<pc)B
zP^sdaQCi9RcyaO;VgV!WlLx%-nq;834fB=b*R<t{FR`(`i|lXDhJrry2s#{K2l0mf
zlb|-mL$bvKV05(9SyW{$5N}~CC$)wv9B@1Mvf`1$7ZG*dukSfMSD;iv7TE^eN63^1
zUZ8G2BKXe!zF_(tUL6(Ai$^Hpwj0)u4hJ)T%V&RR^98tOW@ZLfUjCf>%KkTINn7ZS
zhM!P*zSk{=6=`S03!%xKl2|X1)>&xi#>9%!rzIy-($I`YfvC`X-2d$nS!~C(7a>I)
zD@sGJKdNUI48La}lzZKR`d~&GYDP?Qsb7ed#Hhxl<=`}l9eGLqNS-h!J^ZgLLGD;Y
z3TusHS^=Yvd7leV2JT*}Q%{7NTdg4(cp1)oUB2V#2i-s+5gzhZ-M_^#Zz8V3Lu)eH
zGTWV&yQd7C9OhRed2mIXzz<<=iZvL&q>bao4F*|hODdhAZmtNbx|ixIoO)K7SpAv>
z><nE8O@d8g>^;Vcl5F~{L$8H0)aTtqUb=z$8YE$C@r@f$9FnsyNqAy(E2*nwD8?z?
z!ESkKz^*cw@lA4ddP9@)N408p3eCB9;uymKMix_5TvZD-Tb*tSgf8{1J0DR+Ji4EA
z<}Q9Mf6)CnJ@MuUYd_2A7s;JVSK`n^xf?GR@pHN7S`3|BTwbQA=Kn0O$WOG$^fPsX
zIqgYZj-4H2%zC;@<MyAvN8)Z^UIecH7}*{?7<Zw?L%!pm#dYZ}>6HO3q>-MSH2q^T
zMUwbxB};dc@GOmlOhMoW7|R;ig}kF9RF@}+;SN~K=w$yyE)Vo4-lGQwk3RY%M?Noe
z>b$`Va(w#V&UFw5|N5D)3Ub1;vkv#h_I@-CzAH3@=m(m#r?_@?-a7WYwtU`g?;c=n
zC8txO+n2y)Ila4=_&8NjJrcMv8N8hNKbLl6IJ=!v=WR}Y=xh!QX@*6VzW$4c7!ms4
z`q@hMphz09+lw2ks7}MT^Cpq-uA1kGJ{ct|^p+`UBM0z8l?IkRCG#2tOB5S@XA=$2
zPv}wMwchBG;vLHl&v|QHW-XM$duU_82<ax%TSx5zb)<=>F4{bI>kfEK19R-4WAgu)
zl^M2XW-U9Pi6TFWCcjmccNH_gp>D@DK#s*O(SoPkk${4xTOswGqRC1I%>-(B<D?R<
z9I~xOzy00WoI<@opH(~WRR@@E?cBk-i7fJy>AMtGI3L^9c#%pk0{a77Y28G5NmONP
z)nx#;{%0+Eb&7P1n?xG&?mN@m66P<rBTNy{7JaNAQvb0Q=rx9XXam(OjlwMYxg_>N
zijeIxzJlr(gtP&sZYuV?3inN9ulp-*xR5CpXEolsLPP|)*{gYr_<=%&ZuUFz<byZG
z<19LrJKEcEszBI%_&+ZE2W-KLjbkQPueC;xtTs|^=AUsyY~YyeY8l4AeN&+f?TaBg
zb<3H(rYKLTz_t@#9}4fP<wLiC_Ls9|uk&bvZ93KnDCDDJWBdC0igB+ik|-)DFtb4}
z`s>#l%ZKB1jED)(|6TIi`u0}ym4)HHxGTF6obH@+;57jwava~6D)ST|kDS{%f>x|D
zG{dy)Nv`m~noXjRd+E>E4TdRi_5SC;SOJ{HLn4C_KQ94jAs&}}5J8pyaePOf<|Uwz
zZ9E~S#`zSfOv$=w!hK+i{A40>1TJ4`eW0PMU6kNBF4$(PjSfC|;w6_L$fEsmr4F)*
z0hu47uC!1pT#LDYSoi$jRbyldS*b&5rRS0x$y(E2b0F<77i@iSYOBTRJ}Fi45A?s>
zitbetLwYh7rR4ppF~4!Rc&8qi$>r>{2vhBUGbj)vDWENrNooJtqnzyHrtWG;HO_+K
z;nxut6O(C2BLVtY7+S|q9$Bf+%PiqhwR?DG#sncdB^A}E84Wnqb@~6Tra*zYA0}y%
z^{*rq)brG-v4*sbk^Jr4dIj9mnAgr#jvJHp=$+3%c^4D2p@gvk)sDWxe<0Xd`QP@G
z190gu4y-l&;JIhWqO-FzFw^VTH>w<2Y~cliunFULJw7^!rgc8TB+lOYD-U?)>-a>A
zu@MuI|2sdIhG37<mC|FvZradnVtLNzvkVB+`v1Nn=%%|w22|L9=e|PeOsNE&Z5taV
z#eUKd&eNaFVzjq{hIsk-UL*5?_Mq?u&5FzUQ$9TR>N-96gBGJ{cwCMDmSK9m$Erey
zt0BPS9ras}yyS3*c|T>FNV}$l!zkFN(87+5XfD89-?Ye-;vu^d-4%~|g-7Ea|LXUs
z?`uTRQ|tty^7A9Ls2c)f{l2p0HzSd6!o@DP0;5ns;6pUXCQUfQQ#G?~`=5i|f_P)F
zYlDYDYIhX_6~mxc4_a#)3v5JC8h-Gb@wHI>_uW%TLl6$tE)_b`fa7Y`g#{eYS*^QC
zU<zNf9fInv^(<rMphM`j^=IYWm)T}Tcl6SD>I-${hAFQu4eGzGKA?qic#MarkvwYb
z>uxkYb@<9`z8)=i4=yq<Oo~|Nhl>8(6Y+?gITpZ$TwI8?Thh!hW=N`uYKTpu3-6f+
z*{9rD)78VPQ{ZfJb92WjnIL?ljdMi=)e}N8V<NBv6IiID+dC=x4toT)KWTk&OZ*5!
zl6`C(9C%XHoIIl>)$>u}d%2!z6;siLsXLh&f-w8y+c*47BFv3@ZAtQqNu;04ayfzV
z2E6EpR7C%!0;f>6X@rdbJh0F{X}o_s;<nt@XaDUsVfk>-ry}NcyhSXGCr5lFq3?Kl
zLz(syONl!%PJ^`q!1Be(1yqr3YIkD>>HJSc5Az69fc@a83VN#tygE-qkAsJOpj&h{
z()wMJK6*A@Z4I}qVX@(;bpRrwaf)9=d6iaH#uhuQBqY~JN+x>YDtRV?J!IdHoqf+y
zI(7VzH(a<tBl%<yyB^-RDnTiT@`+(H_(6}CBjQBqEw=I8YMiD*kCkiJ%vdMJR9F(~
zTRhJHh(nScPKRhV;!aT`A|jG04-~Ur%6{;}`nkWZ0NEu{rCs=y?HwKEPp%+LBY$`B
zO;Gqvv*+ALKjCNCh<+N)9HPQXDj%02^jY6)@}Y2P!VS8PmR1I^=<l^S#A4#r*r4%B
z_`ixhAk)9D@F1FpTXTgcDDn~%J`L-*l${ZM-*l*fD7v*z+Url7Fs=LPJP_=Dza6w$
z{ZVn%bnOQGvOf1o-~}5GkurtYrXEHU{1?OfGm%G<yjm(nDJO-ip&!s=(|mKEG%xo$
z6qniCmXtHVTYLFJO*y4h;$#&YEFmP6o>7ossOBY9IXZii!RAYXOq0n6$MMIsECuEd
ziw$b6iax(&79^HDnRuqccI!@HV3XtcYs->}Y|~ULh()X_#wj6dh7eyGk3edIALg&o
zA88$YjdbQV@F16_`#}6f?d{jwYNNmb%Ntl)i+OAfG#^NEK)S!)sP3;2ZWlk?G4afW
z`^ESBKtJc>`$s}cb?Y8@xCoa(Ie4Egq1^%XxFO3Ed;Y7$tA$yeH5`X7V7&zff<ri)
zmyo86|643(Mr@o8+F;&?4FeI-2Q(t~BJ<~-X+~XTCw<Z1e@~|Z`(MoPTP9AU5U?<4
z3KgM-`u@l74x*8@o?wV71$MrERcJ5{+%qp~`EHS&!rM}2m@fK4mJ$bmAZ@!nE@4P(
z%OO!ZZ4>E%s|KGnBH&#An$iM5Z|^TRMd89Hs>d72n<@Gv2Y1)Jr%q0!0zmQ3;Y#f!
z#+1UT6<0qAxLaI2dVF2Y{9ad<F@{$F2{70$t2_VN&=B@^)#It(X6|#fDX>cM=5Q?E
zuL6tH^IyP@(Cz5fUkSG@q1q3}AyK^dDe)c_Vxsy#Q{229LX70RQ#$&#jTrR&&G8T)
zZvO8lseiU=Ok*PN&;Pn&9{I_P5)Rwn6b_r|zfPJD1yGs%dg!8|G+#Ne8Ta;04tqz~
z&e3OLdyRfr+C_Pqe{%E>w7C+$TU98(Fs^@KXZQORE9vWBAwQHm!v1V|f%Ed{z(=?=
z-Tv<}Zb1TL_iz|5Z&1G}pj<%#4&oY!k;3TN*QDGMQ0s=#M?o1%_K>dTatK{+eM~E*
z2Uv9mH+kfdU!!jEbwXULDo4o_HS-loL^C;T&Ieb8dm^9-P^6PwmOxF42|Qa`<OcCB
zB7!6zQ7Xw~O|NqRBxw)+!Xum!zc))Za5b#(Va4>YgsCkdH{Wxz*z@idknT<`sGStV
z2oWHf|AI>%VFFw@=5+JZ^kDR8(B2T07iS#yd^tm=sJbf%rH|8qF@?_rfkO=L2!TEj
z^@j+hjk30qDm<CZd-kYgw`(!^^_nA$*};6)!O8?>yy>?|_nAxA8~A!F-C|j%Rl6)5
zF5EaV)xUq^fN5cpl*17Jaeam=ButqJgH2T}{w*r#%5&*|=<0`jK(iZ+52Q5l&Bh_b
ziD@$*rz3;+3_&2(tU(L_pmf7V<wp9JL9yDGw8!3yOa2f6Va^r7{oG9K=FR(M=-3Qi
zUIxEE%_^d4bkx*w+f@`{Laxv;pj$lYloZa>1rB4>K^MRL)njn!bZ}c%aezc`WySVd
zw62n4yKEG%jE6*(Mm}7JtI`OAVH3X^{tHsjvJ&1h=Kc7IWp`hG$O~AT{26~NjvriJ
zUOtZeoXe4#oNOaPeQmA!_0{!v(oz6s!HfF2_F_;5n22T#FdV>@{C#zs0F;680<<gG
zm^zUh)qP?oE&foqS%lG0fZBp*8DI0!=kaRa?y}M>*8L{yZ4LUGm+x~W8uEFrP<(b<
z`Z+$QHyW<cc&GejIHv&Haz~M!UCF`5bnLW06zm`d8DWC)+GH@FQMJ%mTv_4$Lwvbl
zBH0SrtiFST182`5FnvwMI$UK<l9jUt=t{MIR<1@Vk1D9(m#}Ywqbbpie6K}D!&+*L
z!gV;#iL22H6c$ediooPISmTFD%!bhdiF64hIyzyx9!Eq13UKzUzWUPoNl^A^KJ7g?
zWyF_9^+(fbzVLgU>gLRF%==Ea820AvNC3YtJFqWsEXN0{z};?cZc6MA!8uf7el17o
z3bPSJYxOUOQ^R$8rhJ)uFcFs7#7}Iy!U3kvM`6Y3*VH`TR<3*0L&Tav0{_u}6NzE}
zAVf1T6vmRw7U7DxjVrz;6D-3442-q6R`*$O5jDR5#i2p!)|8=^&@E$8`ChU>g|xQR
zH}d`>z($-Ato_R~;x8N0rtWrwTc!D*kyr{Lt~FfWI&Jlqj6<_cB3*h3At+CWO5JI2
z=?WpUoqloprG(8Z10uZkl@(xJc>ebvuY&_NM4vW4&Bl^cNqLn!a!<ly2}{y%x!FYm
z5bA;IfJz8Hp_l7j-C%=9s&vAqmlM|mYqU5fboIPp2N+&o$7+uG((Ppk^aM!)CQyw6
z)G<rywu0NL!;5hGX<42S4l+UjX{-0JCmyGpmw&5}5)4c=ml<Wc#Ab4De2h*u0htf0
z5M6o(p(h2b>%%pXv>qToSydEOlFI`d9SBi9R@IVx5SoOd?A+WwH8nLEm%&ZB1}u5i
zd{lvL>5LuR&H~%i3M*n9vL6b^B}Q9emh!-9+JnpFwhEUPle0~XCwqhF3MP2b>=lkD
zdZ-cy#oM|<;G0B8XJZS17ih0qi%zBQv#J34;gFqo=B>AQj^iFi2jr@waEh*Q{1fj0
z9<dR@1Qri?UUxo%B6jexPbPZJ<HfhCHGpPtJwI3TK;+yt7hh&*!>eE{Y|h3eYO#H&
zx<K#iG!1+<P`<3jv@ne*$cO){`BzC2Lw`^h4*jpwqefXl!G5P|%|<t?qhG%l=+z1b
zfH9GFkP6S-*WK-vS?%`~aLw}Y#NW`_lbVqseH6b_iK6_g_m`A_)GWz9f3qj4PxkNX
zly31{-TMAN!EJ=g0xbP=tiWY{!<x;%=b8AD_v%-}Cc|+aK6XC|)Rf(S_3R#5G?2!W
zhCV^i4gE~p9oBa=@z%msC<V<VmVXRDl?%E}#x^CVB7M@PPTBY&O@E+WPnzMg2hD%~
z^DUAv6*1@lBPj&mv8elOUMJ}Y`Fdn&*@@SW#b@Q)&Q(2(ji@fa<yff?gkpB%fNDXS
z!ycQXnx${o`bU*BZ=l_si_yIrbKX-$di*#>4a=iHW~P!$t^mCsN<P|es;)Kn2)O2>
zeut+GY*=pSX(&#luV?x#0jM;(d5qb0S+HGU+~5NUCF;aivV7(yfJqTLy-N;)-&0jP
zz;m6NKXG)Ml>L6C(An%V=Jz&BUl86z+?w&u9F|zMiP61#;nd^p9Y_{ve6_8dMAP1n
z7Kas2e9C7r0rCq+L{-iA(gkmz*MJoY*El^~&9>gZb`MfPdip9yUv8F%R;lyZxxU87
zSrx^ZH+kd~URydkYGJ+zk#+&>Y>!RJ3ze|qvLEEEDiy=}_6<)PzWY!NGL_tPrN!;;
zZrpHIr#i`m_C6TSd&@-P+TSr}rF+d~XVU{7@|>zNe+>cVls2I1{`g3UGvvdykJ>NX
z+)hUy=+jHou|v}E&(R<dH0x8w^5@op`_|@H&i72tD<}I~G=8N0c|A{ka~X%=MqUEV
zxb4aE(6Hg*BzH=6+rS1)!VB2R7hcPM^P~vu|D@dr7oI9b{aXI7o}^wi4GpI*r2Bx#
z&d~`=->UkRl<z(pS$DZ!t?Cu9Sd>5DN*w#!{O=h>Cp40udeXAf$C`M$)RXUiA%fB5
zwyB}H2{%~I|9X2#TH@aj{k-*__{&EgOF~<GI^(SCm+mU5apkKGOpF{)DdhHVO7%G_
zmppNqEYcMhpc`8ANb8xe>UO{SuT0XBIqtj6zVM81<>hnI0+#1*So&lHL`AEpr2n~T
zMAa0erstbi&o?7YPX2f(V@c}DWChMz)BCjg7JC#m2xW-UCQ?2jl07g5WN9<aN+{({
z-)dmPo`(O}H8=G$sy-U|2ym;3-nJE^QhPHMlVe=I+b_NqD;Ea%RY8r&fYgiWD^x?i
z&wV^fr^3;j;>SSYtH6LEFVp_F1tU_Dm;goxh<8BOfP0^H*fKteB=%sA`x2!p=_s=;
zd=<zk<Ec-t1~cMc$RF&Xc(J>;2Z6R^_Rm%iU%|`L>T2Ifw?5ml59Pws2?)4!WUY#Z
zn5ih-;=`+XGK}uBs8TgCG0E22^lv&q(?qrjY+;m{5t5fNuOM_%Ffe360e;u|s?bhn
zQZI2o*b*HKSm7rV7>RzUug{g#)g|4Th=QoX)U;VZ_sIEe0yP5zg}hg$=W?QJH;>B8
zH+M8Qgw<Vvb!$)?kXh=~m4qZMLG@|AJ7{-cVG3~^ACbY7LlKfgu;G|#b%CJp2Q9Hs
zR@ao;`U<1kmlm=D1L~gz(<vgwrKBdNr>AX1{>t|AhlID80}G8@Th|H%EZ^yHvBNcY
z&;5p$Cm6WL+V(0-`V#<2_gyu{tFF?DeW<BPK0Hz=o2;{Z2o4>prl%iWIvx{ASDaUF
zd|ta*O1mZ1cW}xP5zdjNu`2lyiZqUofnWxogT#!N%^1z+23csKP6w%edl<EaA^)9Y
zSZD99r6E=T>gG!_=(q*O1DU@)f1X*Y=^i|s=sqw1V)o5W`+??NPRt^f>k&)}aABgP
z_p7-xG&D6eJA^{f_zhMgHX_htnOZ{nD(%JHt~ECas0%=h5RI9Sg&1Ky@Sv#$Dl29f
zvEN!H8jwxkI>KBU85p8<tsg^f28Q{9y+0b}iYF#sSs<d9s(H@T>K~TUHMjkOq0y*e
zP``KTML0{TdgY1I;&DKw{$xA8^K+CPK!%&b$J#7aY9T#7xk3io@|MTf?p&R%IGX*s
zm0~e1=?y&zb3#ur>wpAleNB9M`uud-<Y*4a9B0sm<LKpec**4O3+8Xn`x#FAfBpL9
z(RT62fP-i*$2N`GtWlG%;Y*vOhIsyryQk)M{;tOcoJn1_C6dY#jT^CTkrFkiAAANX
z!~C8SssT?p_F=OCs{~%-+Lh~=FEv%JtG527hiUTR%g_MS5d{A|hp?bU?ZtJF8v4x}
zL%hxnEV+Aw(Yn$!9=UUZo=x)EFOm7Aoyqo+MIkHgw5kS?*3=m{vcgj<=#>qD&8x?+
z3n3nSJpW8(J~g?|Lyj5Q46_v(pkwOs5EjGnNQVrD#uA8O4_aK8cE~gquBa3m^DQ2r
z5)LyPDLG1XExF%oM<fa0HW*tkPOs?$$&8rcF@Y%HE%1AITF?757#9!uO<T`{lSg7|
z-5wp7q8Q>JiY~c%V8}yPzwGA*p=sp9*NO^OetRJUE@UK=+!=kJhPyxOv($1wFrlh?
zdJFCX04pWKzGav55+Hkez~kgQQ)jSnd^XpWB$?6s0_J<+F^Ef1$97aVax!ARU?SJU
z^a4ZZZ<xswZUfxhak@*08>9rS0`Ei2>e|0EdnmAmxI~si0RpCERdIhF&q;_om-Y1=
zqiw5XBRUgbnAJai_cJtPq^u05aq5b()4_SKn%YD%1>LosDwe;hZh@fzqg&^Ubl0xA
zo|6b)n{=cR5FL5brsP0MN~&*H_Wk`tuMj^9KN}Z^T;<ooflx6Qw{S7>-mEt{GDVJn
zseZmw_}PVKtkB$;neM(mO_Qu7T6xX8*~uE0Y1m|5#ms;V+n<sL5ft+9Q<J90S+2|b
z4=6biKim(G=Hm)DnZCm4hN*~aazGs+mJeGgdDt{&TP87%8Sqz(UP<@~1ayAq!<WQk
z_aPPeniTjghOIkYBa^kqp1dpOhDaLFRH`{*B@&TXxGeQu4YDlxf{|lY{#w^)pA$o3
zFo0f|EO6ktRLJMcJ5=(0{^MtFOX$}IZ4+$oTy%+k$wfKhki7n!00fGZ^DgmApZJSR
z1i^1~i|O_SnPElv+11Skw9PQqY7fJ$#WYNySN6QRKnM)%MbpWS?71-FWI*<GU~8u1
z>dqmtPYz6_;Yz#|7{Kq!bMNF%or{E#R8nu2hW}<$RNzU{!E`CVU9F+a`5eQ~XRlxR
zup!Zouf?r2{T`PZ@-Ynh-b_>P_5Q_CR#N3b^72C6%9G`=Bc<FH@o8T?<zN&b&Km0c
z?saYpjvb|U3JVy3HF!r{6thsKT@UX_?ZreCW{@(50*rN=`PG{QiI{7$yJ(Q+Y&t(U
z4|uB__Cpx3F8EV85Hq8~Nx<~l5->MZk;2qFB@e*TQAO$J`syZ`(T4PUI2=D5tnxm+
z;O_(Hgw2EJLTf$Wey6NLRk4ALxCY5NC)P{Cf16kyBhX=o?nTHWC|EDwVfxB#-LJ}-
zpAc1Ey;A>gX(7hLu!&7Dk{n}c|IN5>^arps)J#lF>=5)O&u3)MW@JxVWq)0L=r#zj
z(<31QggicSDceuce>yfN90fHB?yyL3pb*y=P~o)9D;c4W|NbTNNcAUEL@@3@FsGok
za*_hFf>^VsADyWF-?h`n9U14wyg|^p5UtdD;Ga*%#G0Z8gxu=4%-ERghTo7-Ef&O2
zMtFYGcTUUR&9Y1Gy|eZ`0k!ATpkLC?^q40@17eIuee4sct@l_-_g$)_<F!B_7!h|B
z<aB~>b6TbX3Mp1IGf6x>!|2BHb#jX%D$wm@@m5YOMf-t-TE5PSyVq!MpnQ1PRff7!
zN!Pv7@I2DnH|1{%1#GEhYe9&3)`J&=IlhpXbXbfs{#qEy4k&e#PMU$YXuRcd;<SFm
zQxAQ6UN$8eaN@<4=u-&<8$exJ=+~-Fv4hO6HPx$jAcf_ynm@irdm`|H1+5;E=YAK^
zp>#3{yQTg{2i}mRo^KBf4NrcbH&E?`R8YH^TnM^gS+Lt_v;PIX;AT{&!-eNT<ohe#
zwU^35?BZ3--YoVsBj~d|4NG+GtH-O)X3)Ln{4u)-1U_rm{9tu80TU+ZeA~E%$DPy_
z9q8t_J?1x}jgs1VnUa%A5Nh`IK7q0!)S8Y6Hil<W6}W~{R|eg$e57&@_%qVwapr0S
z6G0<xSCLD5{e2bp<M$e_p#KrkX#^Y&`k;JxWlz7P>fxR26(0bN5|PTXOc(yGsl<aU
zu#zQ&C<0{%H(|McJmWe2)v8B1+%9PBcO*=hq9As0Wf>zhBs{6TlohRR<hv-UxcD^g
z_RSAJzxFnN?XZ9%K$w5jF|<GtKL2t|VQTmH6$5ea3+Qrc5gB~G(*b|mrCS24ODXpB
z-NW}FqX^eJDp5g>u6aPD`!u8V8tOZwqcF?Hb*&LUKb&kR-0J66pGKvA2}ryBx$TR&
zSJ|L^?iDg+nYlo~#H=TEtwFZGIBX!v`r5hcADfGt2mvXn_X!f`qgyF7SF4?5&pTg$
zgoB%eze>m66MUxD*46@Bq4p4B?Sa@{O<HV3`-6NGCwU})eXGD_tY5Y=Z51_TR;5!V
zC$08JYI?f5KxCM$_RJXK@OgsJVZYTNS=Zxc!~n?5N+q(05nrlL8)=&gjVOX+$`~{2
z!%5l9vdiZikjE}xlrT0ny8bphAqGSFiSJwRZOBYOq4#vSz>!Xaswm*`Jmhp8RJ61>
zhyf8`4HeI&J9o!V3*Had*(&T4*D|9NrH)?WJ{XIY=geF;QF>QFHm}s<RJ~HSUh00O
zbcK(f|G2TK78+xC$nh>-bg{w5T=pL_W{B7y^$xkOj_J2Zu;e>`U;gCF2@Mg6l52FF
z2|v}?cE%5`^%4C5a-%t}@X}$MaH!eI{;e@+1LVj*sT!ef=t#Iw#%WbL38ZXE>_gq+
zJ?KOM*lO#xk~HTHn~Q=dhd-{6H;#-@lJ~J-PGt@6%u0UIsETCihKHukaJ<@6pUS&W
z7Kwo{wiRjpKBsDD{?br*;=s%T?cuS~JrUP6nX8^A;|ouN*zYoo8&`h%ByxHxZOv=P
z8|oD8du7TfntJD~<h%}^6hthaGI0HSFiC=cNB`P#w5nvBhiJKqIfRva{wu`-(2%le
zX?!e!*p{NUOx_jsKrQgEwPD3Wr$O)rqo|@?YSqj8YQ59aiMhsQnnn#PH*2T8tzHL_
z{&@JJps5Me8}cR^zW-;r9G`RU;y26yGT0lqr0MUQMm1<3635N>W}Ii#*;Z7Qm6Wo%
z$sL~wP^Oa&FJhd5qzxAnE&?6))Vm%0nP6U_2vauWuRcI~zB;&fE=c3n)~kFovN=94
zwxn*74{^9=WXxPkNSB?kyyvr_l!){1+3cTVNy%^2=y2VXlDcftGU!=-%~G3Ck%Jh?
z)+lB@z7IYyHsFdM4+gkRgi1`KJKZW#dVwv7Oqc2wk7eEL_5R#10*!dPgpO+moEaL|
z<lpn`7#J$_y>Gon=wVC)i|J(!>=kEH*qlVK&79KCX+->s43zOMZsIo_L(h{?3Uo6~
zI^Bw3Mix1a12&S>)o{JPent!=d|>RYt19$;1GhV)Y!rnA*@b)*0nmGjz-cs0$u8BE
zLOb}2NV~Xc_u-sx<KKMIys7UfDH^3RKy~rO*D5{1_RIm&EEKTOz7k<fj*YB9kn*Bu
zi$D~-p{+6zdeA@yBby5N`yy^DWip1?h+1BxYjX2|*n6);v`Nuex%H@F_uwGR%<Fft
zurPXEwUkva1PgjstqVaT1WJd!Ne^D*B9!7ndt>B1FX#t5$XFM8xk(`w>tgQAkYKhM
zz7e0!2(a4s@74T$>yO3o$7mi76DA}M6*i_l=WnT6^Xf#qPkL#6F0d`qAv9QNVhec*
zLH0kL5X{R?BCj?8o0N~TMJE9}4Xl%TfNzp-f7OwzhsMC=R25c_0Ao4g_a!9&`}Umu
z=k`x}2lz04Xjd`}4ta4AX2zy9O0B$?ik`v>LJ*9l|1h2Zo&o(Jd`a-}pUyghGILa*
z4=Dn|VW2Ul8K$0{GKRqS8S=5`lgSITXJ#R?F#VF<&&zt%0zAvmzwT)wvy<gk)2*y4
zVNq+{SC%~L0kPHATURNnVaE!h3R!ad^Ctx&Y&80STJt|ggx`vwXL3{E%r`_Q8Xm0~
zNu=ZQX1;%`l-s}NQCK#)&`4-l#CmclyPj(M-EI5q#>QZgHf1YAxWHw}45Ec}h#Yh$
zdSXy@ePesDNif*h=x}?tyYe`VrbAXT-xko*aK~|jELz2WXd50Jl5Fr9w0F62{i`j7
zt>gA~#!ga#<wHq>Im~UqKczQC#1c#7<Zz&nTerVB(fvq3Mck<#H)<Src{kxKTT-^4
z%KXr(x^$wPX9YTwoY%vr71MWM(1b=|ZbE9U4+Wx~KeON6-_+Ff92=iAAKuTH88X7>
z#$|;GKi#D>G(g@vBXMoW&V76PJ$lw@ZS+%QsTNoI(HT9w0I-I?lVARAM;qPt4BuS6
zIU7g*XN)z(4nqCX&36*+c<eVlT`WiK!_<2O{pSIH`)pehr{|e<LcVC8_c^k(vGIY{
zTf_2{C%hZ`+AW~#ef_PmMbf9pA0$!<jT_4MLUM61*Kk)d1al9<BWPlU<B5@fq?SwY
zS$yQvvK~fH7^TK@=bywN5FL*Nf&wi;o=Wy~!EG_TcgAIhWixF;rF^OQ;M)yA@UB*w
zyg_kYzH{UD`psK1S_tA$rvE($-IxA){Onxd$`T{v{Od!)iz4n)nnk^^IZ)Aja&xB@
zyZ6Xmrrq;3an7g%k{}~d>#pL>IF98}65+rv8VPQlbNuLa@I1Ey3<)zISu_4SovDAP
zQ}_4ynBQ+N(`Zop8TrsHb5W}wyDu&0_I_()!vLNRH<$1Dh+mtVdccrCgcxOq2np-|
z&dcCgiD7V~EgRpFH0tZNfk#5F1z^t&eZ8~vR!LNLy@ZUT$2^31RXrTz->2EtvN11d
zU1@A|G>N>}f-qcRKCB=+x09cvHJ8RFb|YTBnV_iuEGpM7D_vXCdZdfw?0Ec7T?%3P
zP#3s{Z1H6qZc}`Zw}YedUOh^YtLS&Jk4<m4;NQj_P^o*wd7<s;37AvQ-lxaBA4gZg
zegrOed(h*J(<5gu7sM+tXWJfTQDE#vK<wr%2-sA>=!1wm(5D&B8mN@V3T%PSfhuAR
zNj_X192`2nr>S@*?7!MAa+7pWAgbZQwwG?oN*yfR!HKrXO*BIzHY(~@owU?lV@B$`
zdo<CZ^#TJnWk*|gg72I@=AV^%^$}j}Y%Q<e=(r@ncBrF6Q>>P-T1%833rb~w?X`cA
zBYJkU1nmB2KKz)|$gaKwN1dGuV(5Sxz{hc%$|4bI`N#F<=_z*EjhswUL!pdRTXXA5
z*?=eJK-))~+cJHfn3&K!7i{xix|#EqJt!#CH2&N>jY{W4^AC)YcwkA_G3%j$cR_<?
zBx=e+jpY@8`o*kTK@+~Ds{%pRQFO8av<Rnw<Kh%EAsr-^Fb9(Wj4|2Vgw_|aw+EQb
zBKE2OcS%SSP=IR>EGgVmz%O@{OzUYB&;g=7HsZ-EHIw?Q&!eMfvN9h<(MftZlx17O
zPasc>S(MtorCOuN_)N4f>H!R>(JcnXBDQ38t^)q=V;KZx=+=qSdZ-yR8CsFbx7f<W
z_h@kRJLoU=J^g{zyz}{)w90suCQME5niIW5OKAZu@u(tNhk^fM#{agfb-{ZISgDku
z<D_E{a2gjcrU4!TI}g>pGITsjs2v4;Mp=Ox)P5DC>5Wq3{;SUR%>{W+bc0j4J>Q>O
zHTYurm7!sdjytV2#u>iV;ewi8S<>YzSB5%PWc_`^7DJYG2yn@gm68=BPsImBI4uz_
zAN*I%QwxCR03Q|3MAU=9AdEA>fk-ig$cPxn)zvkA`ixrQi+u>QRtTwdXF+3%^!c7R
z=NvS5?;My?DnY@0VO;SZOo45jaQ|6@pBJ96af~eT<cw?_vIFi=uVFoZZG;~Ip-8;I
zGY!80c=WF?E=#5qh>M8K`mf@yo7ew!OKJF#Rl&pkN<|AA2P>-*a(8cPsJ_^dN$n|E
z@J1HZ2m_1kE8hX;93@i!`N@wkL#5L>aBYaidWii4iLk2)&YBIX*Z8pBHA90vzEdiY
zT|QhXm&E!PH?$munt}FYs{r_<VJ|g&EQDQB;~vc);{*9{&w`=ajpJB)>C~gMMuX_j
z<kJ&Q1tYsdzRRwb<NL-dAcRr`5X$$;r~NWatV|(-P$vA$>Xg5DsBGbEyAr_k^~;yw
z88P8o6bTpd85{Ln&RWYMWPtMO2p+~{FnyYo+}<H$+I{^e-Lu}P^S(3h1l-^_ZtI)L
zwNEe$l@0PV@-#Dh>U!37aFBdgBogbbhcIhG<M|RN(pDx5nD|i^y<$Am?%iSt4lT99
zke8lpK6pW(oC;BC^}gCJ5#lL}>5cSS57`v8_3O<vp&%vg9)BhMn_DrmGx`%QF4rqd
z-Bg=YT@Er2|FwGs2|l3ua5X6~T7IsI;OYxhgwTgL0dET#<LK$)urG21tse%Kpu~({
z&I3l;G#~PDrjX2y$)o2H#6C1_oy*xQ9woUkv{?MhujY@>096^Bd)U;IqT#NnmsD5s
zj^Z$wcyaKHyvg=SA#vz$h{N-B21L3(io^>=Mp%dSVFji9e5*87F0+uKp?r5vmZqWO
zf--CE6C*wRa=l$KP+<9e<Ghf&;<*`V4e|*iSrm@h#q{&pS>W;y^BjQImxCziTUuR)
z{3L6dcSFlff)4HOjkCsej}SqIP{C>-QjseN46sR^hshhp1NE1fUMD3Pl#nC3Ck%0d
zwq&EVF!5oLj!%*um`{8rw-5g=RDoEwQAFX>Pp^J<zb_a~AZBL1dxcc7-*x{33`%zQ
z9xe%G)=DvRbgVr7wcxWzz-XE$qJAKsgxuOZjqCtIn;{pd*0u9zWL$QxCYPd;Zg|{$
zIhFns{0(m+vTQACT7)EWe^sOdn*d=(xqg!n%p+!Q0j9l~03m#9zC)H8JLr)RycN*Y
zej>s-2b#$+{^jUwYB(tiB26zZv7|1#330k0-Qt_j?daIr+x4gZJ2DtUeRj^A#EK}S
zG;Z=yMs6AszhVwCZ2D|^qw{OlBQiy3h{HQ8_-6xe{j-5;TVp%}oCx9zOJ-f&Hqmwz
z%vwk)0^YQ8G#b4z-2_de@S;?8d-T@Mh{bW2^$K@%D^*lWjT1;?A>J@<D_B(K+v-=_
zX_#c8`IjFfvicUFi21zfxOLalGgx$?5oq-UJ>7QKOwyrKf7D^0xU_ABgg;i+TK$&s
zhJQd=jTg^!b92y2-DAOE$MNytaWS8)llfAENO@(BqGXNt>7w4=x<;ri+L~wL`Ok=P
zun-C@>#^G|GvZ||L0}ILr1%N5jUt^H057HAqP@8{@aO0%6PWURM_kN_?$$w)Ni3oE
z+VUPUIzj1X9QB9p%LYacrBjZf(lWcoa@Cc}!o{gA<b`@u(0&?f27x=Y*7eZNFybem
z?rC!5i=;(lE)SmeWOVq?KPL`;7S0%v!-%goz#0-269YpSj1E(goHL{DGfBNd?ce9N
zjd@3>Q6a=e=oGmkB@fXlcAVt99QntcPtYQcWd<}cGhh3C?OT$}XN(l`ChWdqi~H}D
zno)w+7MJM!jY1+m>gfk3AT)p8A$pB^2R%O1hN~h~{AZUmCPd-Zeuc;nJgaXDCIU?6
z$Zs=${HLozdz)yebGfy>p*XfkNi$G}(d$7*@y(<<#uq6+CsR!*yT9}26Pvr*q$iLf
z@^It{@)bh*20vXx<ck(0M6$P>wBHGV=T1W2=y?36;o)lt3#U5y%pd>t$$2YoKORZ)
z{<9L*-NJ#U$NC1KCwz2fTt@Dww2>AZ6TU5kf1z(DM#B}$2#rNHAh)WUmA!;OlvyMj
z6645+b0BKRd$5`cQQ|H}2hGzIn6+<Qy!?wqKI}cJsHW8SPiuDP#=0)W*zMmVM>)jz
z+#4%T?C)DpTco}sbbCjDS1`MFDUc1MmwO#!gqLqV1IKis;2HuqZE}@>_~R>D4Nj~e
z$F14|TjdhbV|Sp>Zv;MGAD(;2_-m*(oD88A%}SV>F~G)`31xxvXlIOz4q4~(-$pRH
z;UaM4-q`9-c+w%<i~!&dyZKnUccD7|yRD-pp(*tun?QR&*IKA?8QQ6OrYmRV?>y`C
zn(Wrne&~@Q&JS`eO^}cnCH&`yB>tHVA>`7?$b<UHDpDop4E)a=w_Yym)^k^{P!G(!
zl<YkvO8;SWwV<)yh=+Ve$)w5=CNz!e+@d<TF<>iXT~{J7RbhpKqIibT54CW-WQM61
z^wjDDz@NZpx<}T7@ti26U^Iehfj@(eit1=B>4wI0Ew09=A2Z^RoRy7@^r6`(yZJGH
z1SMq9-@hZvA3!1WFnZ;@?9Brn<HN<Tv(es6326Vi4BMBSUyiOSL+3#;U1Gu$TadD_
z>oLq4pAb9SA{eg%4)n~1@Tf&c2r*-vU}(Q2#^`%s(*DIw!S=Y$JhSAgjBh7QDJtXK
zO*-!W$7AnNT#K87&BEgCb5Feg{2cAH8Fr487yq3#=Xz^JDxv#Ls^X<n@vbVAqQutL
z$fb_NOH8Rf^Ydzzz;)<bn2vtBS>*_WGz)Z#Q%uqxpNnF=vl<l0Us5@5-OrH-pB(!l
z_zbGpiv4R03_iTQ(swyex6U&wpRAtTzz=3@Y}y>ZYH?0!0htuCs3>cGjZ8s?LovC)
z?HZd5WzQp_vI)Z9zgxp%X4C@Cn>XHm(?)Xk<W-k;+g=P;#fV2Fpe7-psq_zLS}e$!
z1&OzR0Y3IF--&=CegpR9R>qK#yV})71-5<$Hzg+*6G}6AE%Aa-MYDD5&t<dH8lNQD
zJet+%{qWFYXvg<=^8+RWB<oM=>=4(?zJ)AT1c<=f+TO(%l&+<8PN@<2SXU<@CiZ}b
z{OVcAv>2wcH|oIP@&R(_!-c}K>Hv4$YIK5jG;3Gr#&MHjhDkk|T$6eUv`6h&ows~9
z0{!cZ%bJe*{h^9PAG;u?@mUesDITkRonFQ-S%np<m#UM$Y(&#QOSVo3{V>rW^{Dg5
z{UV{$qwfxYGtNCph||#(=dG)Zq|fI{c@AE%aTBUAi=MsiMjemE77~6cFmH_?Co_gj
zF=JxCn2?&aszl3I>{z#}Gs%mu5vs8u-mFOU<4Zl<nDk0`+27x9SNXlsJlz%TejGzV
zzHz@KuUDk*><yoP1}XCVHgMbZigds-_O?xF6js#Kh<UrVY{(I7F$JLxe=oC0miJ?C
zOosoSA$tZx#zUEyfXxC7AC1Dm<7LlmEzphf&`2WLrS7+)mma$7)65ZTMc?~grl$6f
z=$#wavE-=`&&_XKNIjh!!``vq>A~BC>}nXmvK)?W|E7K$5EJtqh`se}c`LU4-Ow^X
z@@KNAO1Xlr{=FrUjy)#{C=GSWD%~<PG*-wQ?hf|JPFSbz8oo@wz%hv<sn{DR7T04n
zozEGHpZ)AQPRpM^ISbxGpXr^m+dCjyCL%hc*RNv?K|sathy8UNIZ(!x(nJ=m_yGTM
z?n!+p40qW2l3xM!jT&a4Epy$Kw?}d@zG1h?mbHIK&h)k024OnBKa3`ohZrB|11oj+
z$i!nTQs*;Pc8rBL4el}Kn=RiuD>GROmf6ZjAsr2#>mqsi`86l?SF4IP+9Yu<eBY2G
ziz_mSj4F2!J+4~#dEnCk<>{Ks0j@KUGD0VZmE%6QMO1WD)Hl^9%irm^i=UTjq3&fQ
z+pcwov6Sd`IpVEd4_u*@?8(`yBuC7KmN4RrErhv0cQ@K_lYq;ML40`cP~;)L491q=
zdA$A}dn14MXo)5bDov#FCZt~Ts`QGl7QA^ZMX9ea;pFeG9wIDO(Vh7{rC2k8)SP65
zP;$o$gdOyhC&sx-FNN<rZJ_j$-}8zzsl2Pt`Oq>OIfd*il=&Hvd=sAY!N$FiAFuKg
z^o@*w!MT;NH*%O?0pk;Z^(0yBcT-)`V>S82P$Mufmg=jTZ7##UbfZx&8R6+e^#O<R
zVTaeN!hL~9VMcli1WZLbNY4AkL-WqO&#zn`4hkkh+|yK$Ci#@hdDHid``g@;G{^A-
z6lD7FMU&h1D-#+vM>$U84#Mx56TVh61ss!>qqus#{B~NGgBd}mE3MAw)+%9HXD$EJ
z;8&*c(-W3#_s`Wc0N}h;+PcxLf`>rb0@ftzligLVp1sh>8p4%-fgcCK^wkV^6Esrz
z_@*+9cO|)82HQ==u^O}#Gt+Bj`Y5{|3Gtr{CZJGAPBVkub??jt?`S(^)mc043}sJ)
z1QNvF6kcwY{}Fw@NN?y!dI=<E_4>xfM84A$t{G=2$DOMld;>j}q?cj?{Z5jhK8|f`
zA51Lq9pjc7$h*3_qLnO`#~+rF;}WqGzLg8`2)K!g3hdO(kf;>ah58%_#C-x9dHU09
zZO5{_2{D%SE7BKJGd@Ipa+?3NV{!&P%p2m5HE4MhGZ%+~9Uqe&<m*LRl};?JtVH4!
zw$+C3`JB%0g>^;pVR5`BUH2)x#?|)%!T3t>a-{Sp=-X+!5d=30Dq0l>nP!y#`hXhC
z-?c&BR#fcSAmM4RX*Y<AV?-jsENNa>I&N24#V4c;S-JOUxJ0kY)m9hbg<#?*=V$($
zWJ4a}+VpSReS8-iq*jwR53HcM52~@cy0jhH)a4bX)>K!Ui|*2MA;SIUJoAZjCY_pG
zY$J)kQ0897f7&y)e`qH%Ecxnc$jcwv8TUDHS$B5#d)f|UCH?nTNAHMxhWr?BJMiy#
ztj0pifv%QLK<-A=dbB2jdSW7t3v<X6`M+!!VggY0(4OwDnwKsgjo}OWuyW(LyJ*8{
zyviSD4`=X0Z*ZYT24V1<fhDMhazt1KdJ)TtY_*9aZ2`mH!Cs1fI%`zU>oYAD!l$Vl
zWn6{_+6JI)IeD_L_l~6Vy23l5xLv#TFZ_ERJ%u6dE0k^7I85&X-~95Psv11?hqEt5
zuL#Tb-pz*6GHF5lmZk>SIpFl(`mo9qvgjreQEUupzIcAKQ7qsinr!h$et>xca}}zq
z<u0iOmKCGWw2-9#6ZF1Z>wN1c*+MpNQ&m|NUMZuI*;z+Xy)H257Kpmlbi$YKxB2Vo
zf_Kx&p^Ihq)CxXQrOqamfLAtot+expHiFnkz|}(LY?y#4ha)GU{eaD59h62%FDS)b
z>}^LkqE~Ld%lLskY5F3HPaL1<O>>c|Jk`Qy-QtFV-r(cB1VT{uv$Pl&t@<LrXcKY1
z@IB8Ef&0PV%35@7I2CPluyJ*1kyzfD2vbLThISAw<nODqe~MqN`TYqRTe#H_eFbhu
z_jtQV52osz1TYmfbwmya{cq6FH?Gm;41v_z+Tc>TI+DXn=#!tj``$c^A$8<q&R65O
z^1!VAmh63#413{>2Y2t_cTzf*?5jmiXi8Jl(n^6iVwZ6QFh+eEWcE(6t&MORqQ_y}
z`>lrKI(5$cCTY*p=b}z_yCGw1??N)QP)Ci>7!N`P1!YtBNxc{eZgew-G(YF>jgE;a
zKo#kEtsD+AYhLF{`MqVju5@2Pvx!tK_nGw$doP1V);YWiE7K>W-cRP_4z|oCSD%s*
zt`}{qq#`<B3-{c}X8qbaWr%JFJa1g^ejF*;{s07QR#wJ6rn7apq67WRm&elauU}0h
zmPc~pY9W=Ty2!aljkO)mme(t1yQ962RgW#P4{Hn>3v8RDM@on6pu;;tbbXar9<n>|
zh{orl5Roh5lk5jLMX2Q_UXLTqA=Q1^=T@=A$MnXYHj}PDnAk_}Un=FbB`>$QdZx<k
zf`jnNJov)Ml!$!zddR67kjY>W!T{^jv%O~|*beC~L}}@xd-vWA9Ezj9>lWX5zFZnw
zr>JTv`RK`>v9n_%HUh=bL@{>vJEbM{kMLmTNhdwz5sE3E*c`CkzhQW5b1Dj&s=11J
zW86}bd9|SP<^ehmX9q`we`v@h3u8L)iEl9B2SY($-K1ebm!+(2hB00sj%PVO$r|ey
z%;n`b42vDF<<7s{8s0@KDq~J?Pm?HvZ>2!jV6m<QfglyH5J~+w03<T!MqKHI&&Fk{
z*%HOHWLOA!EF8qk<s1vP2aR#%sIMy=?;NGP*U>jSpDITX|4=7XXgD8TDlfmIrvw9x
z|KkFbmv~b_uZ#{?#`)!f!1PN-bM+C|GE$b*TDY#x)m$|`Ug}_E&SwoVtJ&Gy|7jxv
zx_rbqTmCp*A0cEbHj>UCgrXm$`L!|~*uS!KqHM^ukbHjgz(oEn<`WW=;8DMJ*b(T&
zuchwtr6@;jl)*>0BA%MgFj5Q~(fvkl@!($!(h^C5HAv5mwIw9BaPs{4#rQAId@H`b
z3(bcV3y3#b98la_tt4aMC!?VnHek2wh^R;zf|G(;^y74@JywozKPp_qK6~c4H)KI^
z@+3;np>3q5BYBq9N$vo}9giW5wDvUG^cmuA>OYz9sFly&tiwL^N=#m=FWb4M#KB@l
z*=wBTiDoI=+jYGsFTRp}!GC+(;a~A;Vue?#&-dhT%j%UZfL+E#I@?E|ZBx5Lrrr@7
z-d7?_J=%S?BKwL)YRVJ-5jx}92W`K%*~JMsM(9g(YL1l^M}k91zRz1cxZ<}YkQHs;
zQhuJSRj$|VPDbx<Clo1UPSknC5<dY;ULu<cK(m{Xb(S#G*TJg?C5Ft2+)A0-^}mKa
zS>;xbKj$X^=mfGs^Yg*K7;&|fk_+0;MaG<}AqX_y4+B<-51hnj3G~BjY3v#tcjuR8
zD~}U?IxajXmQVnLFuvA%Sb1~!erGB(A=!hUg!Rw+T8#DAD!LJwmmfjSF#azg{48dk
z2iXfbMT!QNDSFPZZwGX0(%*u#xY&YcVERGYtIa%}<*>l4k2`;lWY6IyXOO5GcBpbf
zhhM5(Ja%XWsRJ*mNJXmA4@!&Y@=U#4)89Vn{VLr?j*6(g=A;gYy~O1HY)mv?C-3KL
z6j!OJ->8`I<<=C21+NdjGEMkokl}8kj{R`|OEwdz+^p|COSD8FId9Z%kJV4yUm9YO
z>;RQ3V=TY=Nn=C9^hO^&g)M24Hnn%-ZYMj?j|R2;7kytKd6ukvyT|c?^sW{0JCaGZ
z2|aM)Kvp^tm(|1Qj{&u&?~0gSU1>+pf=K*V2Hiyh#G5GAO9@Lkjbo0oy4hu-t{iz<
z8tV6uxg77%D+ZcRiD8JvrRVb1;~=tzskt7zH<Yu^#;A6=G2&!q-TSx%NHVl_4#!@a
zWZR4m)I|>b9=>{MBT%9aKzJdckLTQs`52i3*<N?u{E;W7NUlOYe2c9cK07HS_}LkG
z2>=Gm-bx~m{_(q!j`}qf0xRn%_F6Go0-GUH<mD%`z?#0NNq|sL|MM&q{1=iRHt0=~
zv}g<bj3WNXD|d^&9a#N;+C1KAvy=?cSH1HzD6nel4;c9!ApN;5(Epr&1A2*S(4{Cl
z;WDwQ#Dwj^u-pSDDG}0cXIB!HclV?fdp^koEOmptOM&e;dHx;ELr13@pB@F@BYYEN
z$C@&z$dM6>wm1_+F@}5|^P<PC$J=y9)f#5jd}BXq=tVK+6n0n?Jp7n<{ySa}@vCKB
z`5lf5QTmP%H~t?ghXK6}4?XNAUeSX$58Z_7d;w~PmQx!We3`H%`-6lFRGjhzL#8JK
z+6A^T(a{Z^bDq6NfF=D?ZBf0dm&38>=GP9ga&3(c{tZ2pB(x&WP)e(pvr|Eb*7>)G
z@UCak?ZwK$?&zagbZ5o^Bc%n#y>@~26rO#m+!yP@MNX|wDVlQ|9w@eLerOeN5TVwV
z<^5#OSj}3siLZY@`E#SoZwsi%96NtptSe0rT7CMf-fz~}pw}=<^W2{r5~i379gjnZ
zrJvd8#(8jMHnocjM}^<(y#D^})YZMOS=;Q&e~-(3aUmu6FX$?Nkbd}QVz9bm;+g^X
zZ-S@09{>*QnyYd@*VoqvDP`^Ro6y|+iUrlG>t9>zWnYQjzjO-1EZ1aB2#369dkh<M
z&oidb=)we_-9-TLQ){KV{5$X5<ya(W7ZKV&`(XJnO?|b4KV!(<AEX$1^{ROy1q;|Y
zhF(OGak$Vt{U!A3rUCbr)?pE&SRbK9C7f?R6qt5fPiIe@EhyU$+1Z^=0uMa=6R2=R
zi@%ywJgHrU@<5q}rg7s;RqzK2ET$JxX8DybA`2lW1X<bMu0#~F$cSZ4zeLo3?5
zsKgq{R>LpZ)v`NO{}=tY)^)*Q9P)LjjpNJV3t~o=G<C}PAezMkH-EKgPM<N0hu_xs
z=Kb@z@h975LjO_dGQZXQNAn@diGA;P`4iE!E5VH0sr4HIC}hK%@P?+Qz&|sl%VFZx
zOxV`B@16;%kSD)l-MZaELGN8SfQ6X8Az3fXh1;lV<-`a4#Z$b^Ex{eSCCc(c@;=q;
z3oIeVSukjBko*)!p#A64rx{{C%Rz%!hAXz^@-WtBZ@wZ0=$jWXiExYXWeXP<E&n3O
z5w6rrxz&(GqzryvQe$U0J3RuEQqt#XR1G}FvyQTo+RRx(gh=FeosG;YDqd9AAhp1e
zJR(v{i9R-m<8mvs@Yz+eo$q*fc1HSWUQi)i3ON2<lD}ipaFBF<Y7g0_2sEprib|Ml
zigZ$Iyygo63may+vG($vd~O#<&E1x({%sreJm$xhl8r}IZamsDuX7XHOPUS>>Hc_%
zXb;+}lE~2bkf_X#!U67^AoxQ-XMStB9Q9qK$3fJ9hup+V1qrZEo4B(GwLiOXBgI`3
z<+!}TB*DwMAm{)}Ii$FD3y0EQ@P+qj(}&kQu$t}HpLjky7TSh-yBzUImH+C9Ai`@@
zDG1NT+xw`{Igo&E)F?7f2RCDcQ~H%?y?ayn6w`IM$RMt&@H<)XtaAhgyir+zgYqrF
zUuCIec3S>Frv5vg3itmX#}A=n&vLAgEoB`eWSs2n*fO(H_Q>9{l6fL~bqFC8*(5v1
zCOf0-z4!O>e7!%v+t0txXWi<YuIqX{?vo_@$H8H(PVmnMv#Jrhah>iaQeZp{D3d3{
z0d&*JJuD9@MaUj<_w_|Vn0>bFowrgicz|dn^7mxF-0)Z9N7UiW%X-r}BY9~`efsIH
zH|)*LFz54dp#><tz<yFTjTN-3V!Oz!>q2op#vzj4m)cvk<pWdL4x><3qH;!49fN47
zWn*Z?#CLUhy3s{IhYrv6RWlxCacw3K_-~NgsBqC(x)fZhgV8N^@nUtmU)`jM&K;-x
zbo0>kx~L&xgeE_jGD<N`i2+ji2356|<TA8=Xj(jPe6dBDT~t&;TDN|GPnaa}Wjyz*
zG$o3tp8*1&ZYWbAo9v(#Gz~|`#F&XaD<22=WcKiP&gi^1Z*V(Z0-COvc39BTT%7ty
zM9^~3)FxQCfTPDspd0?&`fE;A<FR>O4tbEfSmXHB;^|SnB<);vWFDuZGHC?$U3o2#
ztjMZABUHvp#^m^(I$U5!;nTyqOdnEdISEB-il_#U`Jry$PnviTyqUn-O2lN<PfvjH
zzA+K|AbYF?PFvfnTxhVtGy|YMpw1`kyx(D}X)O(vIH$aRvtT(^I^$WA3i&d(;1@Qq
zZUgI3Kqp+UJaU|=JWc70rNW0^h03iQ-?}+8>i}m0n^VnHsSdX?m)h_VEjD#r=G%;S
zy2e~+WKKFQgbYHX1o=(dqWum*FQ!cM`V`Y)4;d)I6-==mzJBFXPGybg0?j0#Qtp%&
z18LE?7Fs-p_X;F&J#%Gqi-wRV5Y^|M=GaoZd!fne!PjH~%WC!lL)>F>E^@8{a+`Rt
zMt&%`i3HBhbjE<XBq#rUm4SIjA*x^;h|K_9soCd@f+i%8a?J|Gppc*@a^_?{Ydvh=
zGksGy4xz|uSWk|2^Ldo=a=g2gE^hXE#h}*s-u1-+;80NxG%N~HCIb|5mjDj)?c?SM
zli+BGVf5Zt`{(IOufTQ39i2!Q?D#urX7tlQ3RckGi|AEzj)x}W9a4`0N*oapfz<+6
zYvXf&yCNLbkiz*KQ11W~LiVI)Q!hMRWQ^%Z<pL2f*)Hdx6|M6cezqt=7+lkvpGLBi
zxC^2srq>&w!LnJgfeqz1-vu2Rha39-3njAtS!^~)ZIGW1?Zo=M2Z)uK&>N&%C^}`@
z?E6aw-g}N?#}rIj8hn}TZ>ygjFPICM*5N>k$@>b@3fjvT>OH7KIiAdBXX~qS0oQJH
z%EBr2#nnjLzfjYGJIdS$e26`s@9x9Ul%DK4QEEgigE%k`*iXgUj$;Ltt-nF!8b8{0
zd+g)ye>o=7>{Z(3eeu=05o�!TW~)bhA8Fm0ewPuHZk7`pHZ0-0@Y}+}i{#tImbP
z43AT>oj0tCr@~jCy`^qe1#MPsavuOUllLh~nhU#53I7dY3I=F8w?<p~;c5t(s+C8K
zI9N|w7ov}sGcu9N%1Ti0(zp8=`>BjuP7Z%=LuB;Bo+Na!9k8k;e{CIXnxDT(iAo)m
zhSGorgKN%=D~nl&u9lgTG9+=L_e<8-yw3pvXJ%rOdF9>ern3@^QXcN=*QX{TJW&9p
z=9K9S^!{_p8J#8vuN(V-0lsGHP@><%q>o~N8PadehG<o9JIR(eJ6b*m8|Y7t!4XnY
zAGN=p?-P}S1$fdp$@-Xp7SuySL>9W4RA2{SR7$j$TSZ#PPWK$7IA<mJPO!D1S0{1q
z9O-|260d2z72dn?WULk^`8V^^J8yQb{-Q;bXCt?uAHzQb0Xs;i>3di|bv)^m(GOnc
z&r-MDSzgQ$&0qy-KK}@V*so_a2Ldf&c0VCNGM>jY+KZg)m7uA<zp9^(S<z(?cLJti
z@R?+C0M^--o$(tTl8dc<%+<ECVW5|qxEHTb4FYbfiVFUz>cx*y@A%#if%l_GCu`V_
zH@iPBFyPE)TYWvDxio7M^GX%8<~}dq_b>sqkbu~j%Zw7A0<7COc{e2jsD%y}=eF#p
z%5c7WV8mnvl>kBD&B&VG2l9N|3UAOBLr80Ie4*Tic>T(48PM7;d^wD$#~bXpynFvX
zRN{SCd=cG#vh}-n?@G(dMQGpkWyE^bS%BX~!V^8Rwgv)Mw3XH7j7Eq>1H?Q#&9+D0
zmrc~kxD&eH+F*Tr7;)t;c3EkLu@@E>6@`L_C(bRZ0f`O8MRcEZT7o0y?tZ|zq{bBX
z90*8d$c)1h*1x^c<Y3lP4Q|KR-8pUP26N`3ltEa)jc^jm(B!o{(6hQVDgTr5Yd&8g
zY1Y=TYU#I0A$OL9ZyxD}xF&){)`stu+xI0P1C;f)ES*!w+4>-j3#jB$ueL~z?;KaZ
z#&E1+32tRvSElw)@pYJ5kRqU%S}1yQFqj^K(wR;{_5cs&n+aqO9}({Ddt8v;diNiG
zcdc(Q!0wPHxTBC*?Z7A%ATdkFY$e682euB-c1H>K{k1X5()~UW1m~Dm?N6Sn*wzT~
zOoMXB>ZT^i%f*buXoYCx4|jp9U4xQQ+MCp~QxHdGQ#IpwTP6o3K*W;XcbDKzN@Jo+
z1jiGZoQmFj`9$m%o7^j5aJK?fHB-HFc>GVT+y=-kIV+54jExT2Ja?HI`dYLo3aqY(
z$klA>Jjh2#kF-el&)a#!s~HmB0+>fpoexxJjSqZVSg;{lODH^wa0Xa7pV~XJ%E=Y{
zT)^<xIpz-n4>hlc8gR@50B3ps|EGn0gTPWyVsRfKL&P#l0hE$=&4)^ESN=vk0u=t`
z@eJW)KECr(;I)~5Kt-_J?BleTZdS`1B77U7Ibe7o&~{X@8=X2x$@Od;4v54B@HNoV
z(Bz`nlax%x-=TmLWWc+CP>h*%!ZtS0#qrwk&8`~O2}J?#9KP6n_wR|yf~l!MA|9}_
zybB^XLM6BTCtj#mdqz~A;EVfyXwNM`(Jjt(#p*h6EhYy?YkoUCW<<MRi%2f$VK;4i
zie(<6jWSMiAhMiu=YI}>%A@Q-8-T7I930LfybB-w;P75mjmU0%+{O-Z{`ZRpvg03U
zVFA|WRK|Pu2Ynn?7sE;4j5bep7kNiL9;d3N6%<X4^zdCz$oqo>7b1MMTC|K)2L1)x
z+pBW5KL#(*^0KR+8P|@dcO*!H=<%4j?OB{y<+!-2>8U)bF~|Gi?n+$%U<g4H*UN8?
zmtTK>PU>4exu=BA9dRlXxlHCYCJp--Zr(h*J!zu=NVvHY>qS$Z-sqA`a)bgs^G6+S
zV6WsOTC^%_RCWT)xA1>AmB#oXsEj*BXVgm2-IZM;V51T&O8&@k<#q9sF|IS=y<Hk8
zbbHl#2nOX9B>bUGrjXQ&UD0imD#OaT5uP+vcDLH;E7JV(@;H9^<~;BKmUu3{Tcqv>
zQ?O-cEW;SZZA(=yv?1z+?B<K3GHE+@wy+IV?Q!@!fP(*|{KJWh$TEx&d58z8!wQRE
zKBx$kM30=Ei9vp8l!paS`DBpsC5a6meGbr929=_K7+(L}-4*B~eLn<~)^#K}cMNPW
z>`AHF+0EYG!mifk%z4t>Xri~5OVfhdI$R!S2dgRE@-SLj0x3e<vYBz71<#K$R2H%t
z@v<`M-@O1n*0>YfQa0|L?v>au*(i8RQ+`a3RzgQT)V^`~KAZb`%UO#H{kX^a;n_iH
zyZX9a*!9xiofqikgZm-_0u!GLwD1RBw-Q?HrC1{r#WFkWkkH1qh31mqZufHM1aCfI
z1;nG2VR#=L#Na{9|Ltu6<O|9Sin@T{wmfeI48wBdr)jEzp5mjVi4PD#FRd=#x`7C;
zs?PHQFMpQoe&GCAxYol7^18aPkdsCBd`C{Y&_5{GXCIPDKVF*$ha8wV4MV{Sue#+E
z1p*gy%?-e|@LXwhER*kd<b0A{-`7ux@v3b<&sqMuo{o}Kf|Iy@xY~O>txH}<5QGJB
zD$-$0ZE#f>{tAkk?VqviN$^JJ4TP2sp5x(~s(=N#-%8*{hfC#dZ7UR0I84cuz?*-k
z=<Mq={VkxTPBD6-jz$8u8-)Y}BI&V6jfNj+kKqQ{2F;UqezP|XKAkxFEnYxZJPLgh
zvGMDJCV_-P-?TAU#v4sFl%cnN`}~FC4(pYM8yO$%wU3OAhm*VeE{*-lN96Ls;qFWv
zAwWBm%L2U_OSKY|(V%Q<Y8|}ZbSF{(RMS8sd5w<&7~s-rf3v`ck@Z#rReptm-?!->
z-!p$d$ZVAXeKd}akBHg;7Qv!%<a3XdrC@kkb4YP_%aV}_X7^C&g}R@M<M>ZIw2oM&
zq<`7=cu{9lp&a>xL-d-Ef-~Pk;n!jlQXeR=XXzLL&t3jH>AtB-c9TzeBh}uY)x4^u
z;wlQ8Pvkdz>ttHmmiO%Bq*3{}r5FsK!h4Ek;=8-VjV{F|!0V3=OJ%-R?lVf8wCbr%
zAjeBNLjepK?AEmJ<j;8RFpqB*NYK{YSUhJYBaljeZGLc8L#X~;Wg;|{X&RT!llKpG
z21FVbuFS<%Q)52j!34>Cw2TdrR<1oPdq+Lwj;Jg1)%^ee#0C=;Sxu|6kN!RPm3YTP
z0;HYq<XN^b-)KggA11lJN0Ks1UYyoX<+5aQrx>3$tsGvo9RIW%lu8ysrY#`_SAkLF
z#-I1C;@$&vO#h?@$lW1?AR<-OleqcpAMPj$XII(Fr+y~-h!>#(be+!5JMYtzYs(&l
zK}{-zd;(ob{s{d9;&w1Q&IVG+fp|~wJU~OHq<DQCKa_k#Lkih{WcmDi4^b}SjP_z0
zbzJ|g%zf|E_mb-Xu}z0|7;tlyXSjTMkE#TOoml3H_+8II5XJ`<K0SgTkRJ~%r|_A(
zKi|jU%uVZ%{n|^?ojiyyzO6!53}K4Vx#+6Sc<c4+c}C0iOAZjHZfuaQ$O>#Py%=R_
zD1#VU2Nr&AF9Y^ZmH+lnPy28<0Qm;<6*Bhwkgp-IW-ky+{F8WxWEFB;a#Q!k=v`Ug
zvv}uaZzT+rpnHsa7n5auSOI^YYKNO#7|i<X|0yOV!DSSk*Aj;cS$LsD@Ln-(f}RY!
z-F33sLD}w63ivw#Ls-p$G(j5~MD~ks#FMSJeao_1?jSWNyL@^+*Zo<-)S=kJ^2U2s
z(KfkKGeyxk^%azTOhD=20}B@)pUp->G-wYQqD{+dzJG^>&;L3+?R&S#7-ubz3Zjh;
zbJMO)E&j*=pIHl>k1}U<X=y^H<M+GXIBcgB|24drYrB!^O+F%;TP6`NR5BRHN7u#3
ziaF6!O&utRgwmftuGmEo5#oyB2sDhYF+N$`0b?3q3WKNrdHJJ|W$Qj!9AN_<Pf}Iy
znX}^}oKi$<?cBI+C2+o$my?$KCHFbLQS<qXAN)uC7xh+|3KAKGoZlD+?f05(crQ+;
zL0<A8W9pP+jV(A7LhWN0t|sFiCMigQI1u#(=33B%efnwp95~grQ*19|4SWsEo;kXx
zZ+u>@&vUJ#I8tnT<F5WjW;rzOwtBXtKa>6+TygKcPso?AUmtaN)@17aHaL2Zlp%9Z
zpFMjjqWyJ=Q8$;D(i`E5mS%IczgPs~1aOCZ!V9xUy?vl*lbFh-?12r@OMYW<A|^%%
zhTzVyv;t6pQ`(MugSP-eX|ck=t@-ntC+)s55z(4?&-e~6FHZYAKcavTAch}v`m3LC
z_f@A93~(1fQyvg7t4=<ryD-u2+S8(p%?uo*d>!nwjJ4jD6^0z?mph^y5bo^Z$AhmQ
zl^ceKa18I6u36pexP20PPbc@4`rkskd|o|D&s&}&#QM|K0h(fXczJKj@cF+Yhk)M)
zE9gJZQ_QQlmE!`C`uy<W6L(uGt)Emm5D7dInpYY?4%qat$QGLGe`C)$C^IxPOsxa%
z89Y-<%TpviR7}FX{bO3=j^{E^;aqk0GDLg*;+=D_PDc`ibR=AiZN@Q5Wr1Iym*3$!
zzWpYcBcIH#X1w%Fx%jH;G9V5<rqo2b@Xz@+#nMml!Ot^-wC-=Q!43&Bl)&pUW3#;#
zr`vspY=EaYT}OG)&g&ansOEEYQowBr+~TR9d@+dJfz8+WEb`GfCUP_%&xxPN(7kfl
z2_oC^Tgc|=>+c7F-}iJ{s%a=O7bg%1Si12cAdlg9g=M$}&P}rPpYy9<{iGg*YjNU-
zosFLqIMJ)_Y5aFZ$&P+5jh+%xcY=!T>;73^k4^{ldiM4#-D4_lYC$gUx`)ciRWp)>
z;|Eg4zefG09<Tp0swz1DKB}(F>hM7GSCOmq>~D)l(pq0xdz0hpAC~OaS7K4Uqz=kk
z^KRQWt#xfbzO<?03hT1OsvQl?A2jgRFAJ!mjA4EUWO#@)=1l=(-@po>%f34d>Mc9Y
z2|b-QJD9Dgu(0zK<#5&H`ihm?NyEfihxktqYnDyBn`D%|ot>RM{hjC+=0C`5;Xp0}
zAduuDs~9;gD_F;?lXXz4yRotHd3GX~>P2)|5bxEi@h@b|dmZQ9Aib7=*lef#DU}?@
zS|deBQr5w5#W41NV_poeZ{l;?Me=g~sO6FE;Ns#sQK5$Thzz+G=Bv~?5_@x=jyp*n
zNNfvH@AN-IT|0}kkXFs1hM1tRJA+J?F~mNtcCS;c7j^~>YN$#~H7HRXP)G>ViEhjp
zPcM>6t}5!edGZBQP7s+u$<kUUbr{*=?srd7T6$Ty=<199=Z@c_9Vx=(_>>B$rW`0r
zc(DF-6ap?fnXdyZAAc7KOGFs)TR(H}c1k|6$zSACf$3@0&P!ap3>;tG30$V;HDz6D
zuXdIKX06J`#>T5r%e%dBs*qmZ>+Oi}w^89k8pCeOn9Yri>8k~1HKtwkGX*8iBSt(~
ztj`b#N|`ODf=Xaz|FFD<z7xFGynaJQrFShiCeObF*edA7|Dm9aA~SBRFaWjXHa2^0
zATt(ts%O1P$F{bzrd@-2o%$aB+|4hQ>F~~==)htgpt7Ue%PesNv;6xGEO{+d0hjd)
zKIKKxt>asmU^hrqWz6<g#J9xPAdeIDUNq|Ieg}T0#ztSy*CG7T`NMsj1g(bynNGqW
zIo8zlidf%3bEkjl<itzdIAxS9<6u>f6-^x+R@!ZZe#RB9O-0q9M1|dylk?}@eI*Kr
zc|s7i(jOjk2w5lZnp8k$R~1`v@bDkpdyd{6=l1e!*CU3U(pg{MWWR%)T;f1<h_QnH
ze0l9zGy3w9dtDX^T)-vSUxao!U)b8U?DwkcSc&M4-mfd;P}=iyDEHm4wWX58Mx7Ze
zYpU6c*IC#Js=NnGFo+u|)iZ@TO&yJlpe|%*o9m<QP{}D)?HpK>T70DA?g;DTJT%Pm
zH!?Q<<-bjah|X(x846kU18>Asx$q^43WvscYD}1Jr>B!-4(fT#FqHjC5um28_|RMt
zRPKbwVv7y8=^&K`%3S;6dzRD=j*ggp&`64^hx}`D0Uz`T1{k}U0p<*fXaI?C$BiEG
znAw*=C^k0Hb?(~rib0G6eaj~7o7NoqG$=UYOOD~V%vr`FSTmC18?qTSufBzjE0dB&
zJjHm^X6tT4Ajl9Y`C|4^CdI^$D-paW`ay2@!kNi-Zyg3GbA?AGkZzn5@|J?noKcSX
z4<P};ET`)!_sQGFzAzNBE4$0784sk+9OmzPURTOIz54Y$Dja^>B1R)~dA_?a8S%r;
z=3b_agN(DwkQ@n=*}&U&zB#*G60KLFrL2DiT{pA;ts1R*KO~YsU#j-g`q{z3!O@ZM
zJFjmqJyCyB$A=;<acPpvUcRiF@C$hEmp=%eR%pnKLPT;2X&ih0BI`SWzLDwT;5$~n
z|JM3$tLPU3bdA3w+=3|#%AB<fzT)ide93!pG?r2Q{l%VL4nuXuf>Ej81OJ~EVAo1u
zVhV=)lq)Q9;kTl0T4lp<@Ojtn2wW}OrkU+b$@2+l)Esi>`m6GTxWG<wZY*GTp}pG*
zSw6o1CBy;-wgzfcmn#N~NvSG8%6x+6Frbn;48jFgUAUTAHme^j{FSHY;tDRcnsTZ{
z5kD7>Uu!eAVX_hz`Yg|d0TP7P5w+Y%ElL9SQ1dGSEHh2b9r*+fr>LU^Gwx_*GWqgr
zKc4=5aI+9CVLr)3L~RtkO`k&QOG-)!33(ii8(bAtgkv#LFNZ-WgZPl}&ol&xmRcO?
zI;@>FJzHK|A0Mz0b-MiE`xVNPRsft}^7#pIpgNc7(JrmLuiIXzR~RJTypBNrr1N42
zG&V!I(kk6*s{9L|QpWOQIB{8RXN$+E8^&sTUhqAhg}Jg*<*kL6rQ$%!u6Or9u0}r(
z7ioz3Wl3lEQhRZFI0Bkbz?09Hs)~^M(#ZWo0G|tZ{Wxhq+V#M+sc<c%4X*q=8_oW)
zgTyIJ!FnJ~Sp2$E|D{ym3<UBh%Ot$uKE#{`J4iJ4+66nyO_H7@l*v5iZ##7K<sqBd
zke^Q033=;}+KW4{R0#+Iwj1n|6=Y;ux04Vp)Zk{&`d$5we~dmv7qvcH1$&<~xiR<L
zuDk=tKu?ks6PKoV83nn~kk1gkfzde3_{(oqSNlMJdbh)%MoBTgY<;wDF+$0@U`dEa
zwS~v7AYVCTBT)xF-~kE?%sjt&OBzC3A9upCZBE=gxW8LP4LG1{m#S+n3VEOAO#OVd
z@_-SnS%0as9xElXD#hMAs&Vx6X6Ntl7Uqgt&F77sNkdQd40bqQPtAX)e2yzr@ZfK>
z?f8gqpf3ahqPwmh8=c8gR#K<fKuJO|vd%O(7R^uY(tPCS)g{u^ABw~ZqKf|s%CB8(
z?Z3kymyfb48Y0_-$t6;?Jd<A<mU;{KnR|F_e-*sew}sPgZf_GZJ326CIQm^rPpgFg
z{;NU#1HwDB1IvH!`R}cjWot9kdzH8c#dx~-CfH(B@2!)pOl!LA|DA3!#G#M>->P2E
z)yrK+KfT1&tmmU&UuByVjjuP)69lps7n?SCRZMNZye{~gKeF#*r#39Qd>Jse-!RO>
z*704hq}1>ADoLZ%M1<?G$%oRodKp?-yAN_t+so3RZ?scr->PT>Ozk>{%cq}|qrdlq
zF5$VtR{^J10fVeDDd=z{7x$5oyjypzpCzb0x-ig^rtgI2YKboy&Q9?@wzN}~!=qr;
z>e~JHsp`qrW*AbruOnk0o?A&6^k;VNo=(Z=>gsB?v3D6hzsyB#PXDka6<G)&3H)wj
zsMpKEroDj0^KvoxJT#Ol(M=t0q1!b|ifODK28kK4aEGb1Xq&>AQih)P;eOMSPlv_a
zIA4fneVwlKH)=(J^mAfn=F(=JDV`G*cIyX}hs?}j%b$tuqKmBlLTk_?RsXg`Xn_jk
zWb~;HE^ax;DHTy9*@@Wq{%@^u#E_G1{dFqv&s6V!513m1=u0qAW3tOX`(H5~(r8#q
z-ZmBL?qTEw6?BbPYzL2_xxf-?FC5DBdu9eV=rEmh-$Y-k(H)ea{})2)CX^MpMi<yr
zd3CH%yh`tMeD0fs86&f_^1*|oHBZB~<IL^Wy!qMD^l_asWEq=9SGq=#LTXhG&j!D|
zTo^Q6=rb5i+Z=O;KyYN`oEoL1K;Ls>$TClF^?2NnC=2&ODyp_K7=oX(_S1Qk$0A8R
zBW0^fheV80Z5Xch7Vp<imzTuVW9(UYUkPK@wa*EkZ^CiL%iMpe9s)0I4SR|pK^W5|
zFC*(7@8xSv`Ait|0CD>xE;Lu=-uxbj^V&vZ`33|8{4JHCaxknLVzA<RkMk7$Ihh`L
zys-<Lhz$!=9gHSh0HIc6M;021ijq<1iaFBHnda;n{em=WjRUTxz*Ag4W6<Dfn}S3Q
zGU6Dk(tQn7eWxVT`U>=9?_Jh-hR-QSwWz5p|HDO4Qu<j=G>+K|2QISRrJ}kh{=aYG
z7PI@-bnWYU|I4{uLtg$iJ{w!xK<aOOwo!{-zP`SP`{(ebZca-bijbyzekCb)PE)B6
zOKa4Yejwftz&dW@Ken6wBz`kk#-_X7foSULYEcOX+e1m4W`TAFL>d(?Yb09P+H$B3
zAMy&Ti!@yhddq166U&n!wP8@k*sO{IVPxfgw56Aq76J=b7STdhlXZ@iqxYfaU|XB6
zb>l69N<+D1cVA*wI8h;j?8B_Rm!~`$+8%7MHw)dr8m2ompuuFH?&`UZtRD&s3%gz)
zrF_i25wy<;OC;ijprr=F>fQ<wf+z(QeHXqc%k0xjRf5`D$qXacg1eg&gx1Z}<3?<G
ztrxYcps+Y_Fa8IslHXi^B@b!S($m%K#~@)3N5*;0Yunp2pifB6cfGV`2<}j$P<QVy
z39eB8Kl<>eAL*o_pbtC_cAo)9CfPb6tZ?lTzX-<+6brt9`$*!KultmY)*ZzfH`deP
zN^7%<lHn3*)3O`aSBQeRNz!6|E>17v3Z7RM7Fe6Pn}cF8Y6Ccm5M_w@L}N8*<?)R&
z1o!)e>i=Fxyb%7ZtSk`hs73WRzn!S9>tRpeI=WE+(2gb9b8$X~ztN|6Nu-}<#h%hi
zg!ShbKU&7Kgyw=C=z!*O&f=oqLs)WJnAbs_ZNFZ=Xxh#e%hpx~l!M>46X_nM05=(S
zeXiu0<EtSOXh&i5g`Q+Rc<KYyh0kd~Ma^=Z8)p3aYQ_Eh*>=`{2GIGxB68!0uL2u3
zj<?4O8f1K9bp9ajASiI_J+y0d!Qa5{10GgT-r`<}I()?GJU4r5%>?rOY|wkE8Z<MR
z{iZ0lo4lDL4a)p05@O_N3A%$nDSB4SCzdc~_Aj^e^PtF>0;SuO@PbsIB_OzSepgc-
zq^>4ROiUOz-q859Y*$iSMV2w(&R@11-I|+HfR#7Y$U;GVl9-1Qw9VPcDGpf|;441o
zdN{+Ts|y;c_9Md=MZud>y?Mza{!1X$nv*CVWiF1;9jxEZI=@Yv6TNscb|iD(%s7Kl
z$^F&&pTLVqK}438tjNGxW@ZBjKh>Kx)T9Dy{FNv5#|NAzPKo2H-V9CxsY@2G@{$0A
zWG_s3XsWsMPYZey5)vYE7ojLww0^9TR$u|E)CqfX_N$C%UMsF_&JU#Tse1@nsw(5t
ztV|Bu*P;Z}w3Um<5R9!}5+K17#C$Nj1FJdsY7)u!#o;0k#*Fg}mri7yyp~wPRcFSC
z)!e!poBaYe=gJ{1yaPLB>tG8-&uvd#4`WIW)P{M0465y-*KA#sg!$tL=m2{P<?p~F
zaAt=;)z)eMB2;J}Z6D7VgU?B8m&yB1AwX2QbEd1Z)V20=+R2ug2o=Mw)Gi_QqlSTg
zuKt5Oje*G&I-9?;x~7*q4SAfvWgWW+wA`H0l?Hk}8rlaTZ6}dzl=JW|#@Q#fFnRh;
zKr0<zUf6!k<IGyVT<U*;d5l<jA5*}I25k6o)2vl0v@@oFo*BLsXjV)+KD!)K(NOXn
z{I|n&wKQqkkUv5A(`SCqYJwU&!5-#D4DuJD%*Dk7%zFCAa5e0fZ?6cGtpOg8t=7DJ
zMd<xQD()?CxSQ#@#FJK>lk<AVLo@H~BY=<*jqG+JST@$8>U05crNx-;PI;6C3~UgP
z__!J#cVC%SI@SLke*#mpAAC3vT4%3>8lyG0dVDRa#wDVRePdOUNlS=x!QoLrfAuCH
z%*4e(h&WD?g@`zfP*{sY@n!z}zwypNPAxSFAq}d$pSKd;_}$quyQTyrLUT@X7Fpu)
z{&fg-wNdGNjqg;Xo3Zo9l#m^T1V_8lzm)|g(ee!iLK4vs>A}IFQJWQxw)~Zo-S|)6
zmwZCHN0#A#(1t=vi2=>mmLzUq=`ntk{Su+8>o5f-E^oQIW$yyJJ)(<8y-pG4@n{Ox
zPk3Vts?hliCwu$P{-*}Ye^O<k7IMH5aC!g+)}j4(6Ck19r&0SGxR!uVe0*K12ti{B
zG>9d0_J?Bg82Of3SqMx8hfi=lc)IQgOEk8srpEL9twQK)fem&@5Wk-8C?8QT8~ESJ
z5oN};iOu@oj1DE7B<_u`doYLPfsAR%q#jHo3}*St^R<RZ*|dR|l3klh7j8#fV|Y*)
z$3D54Yj|F5P0k-0f>m%%I<)^gCn4i+L}Me`KowKr8aZUlNfLF@*^#bvVv&s0qKe@k
z<VP^EL74%+ckRV0(2ZoqMe4l4TbMPwSHvDA6^lk0vZ~uwmE4ubc^CJznerC)s6=Wx
z9)#zPi`298i-4+$3l8zGqw5}+)5HFO$-W2-%2eYavv-=+Xpt-Y?q8p%=7&+?mjPk;
zuCEHDqQ$2u^A;vYv>!-vF|T|%<YlA_6fk{GeodkFVY}`u*Wlb$kah=77II4~e#^Wn
zL|@YANMd_s<;7-i-wUQh{Qh$8ALjbqGwGyQH)xCP9lM&TCz6t;=jSY3!M50zVRzgQ
z7YW<ucWz!dC-J$dsi}!q5f(=$GAQf#V-lt?xLgc}7F8N)(@X&hr2fSWcg`KF-vv3-
z#U2s-&jj5&z|{c~zfT|IGZ$W8O4L%fH9nhC;#?%FAR@!ojSx56<mAQ<`uo>9EFJ}n
zuXD%ygCOW^DL8If<HgjGuS!+moY)Rqz}4yNcrOsa#OSWC`QMMT^8XzKLZHV0Y0;DV
z>9!)K0k&HUzHg7O+!jHi4?)OsB`Rx~Ip$a0T@O3@&dWveLV>rq5O}hRZ2K<fK55m^
zXL+u_8E*v#vE({K+giUfXewiU>>yU=vg8RQq;;iZina7YmXve$NOkJvjJ|xY%+|jT
z3W;OdT{5gEX7e90LoML`6?tolqeh9L&qTsAAr^+|-1TL?!teWvmQq!R4@R*6=-R<)
z5s~lX!1AS5fArP+d@Z6E#2Pnkmj`~MardT`_@<7+4!L(5C#FKZ&`nI!A5P1_z)*Va
z-?nWvBBgaM+g8(dJ57xY0U)J|3ORNq0eTX2*dSkT*3ornK~g&*8mWZOmcIylO;TTf
zHT#d1;4wBf1d63))x3NwXf^3@YO1hwPpTXAWq^-<5C?H>rHjN?V^T@bPqBcJL_7rr
z6R%%`a8;?Kyk;NETx8KN3`SC0&m5=*r)Wb6o<G$@`<>Az$A5{}(LKzzzisf}7qD~o
zf2UzC3(QxJHT7qIZ6p%yI6p#Er9F4rMlV<0vYzKl<X;iVD+Mph`+-cw_fn>&mlu+d
zm`;}X_;zecV>50wlSleSe|I0@27O6-a$@6qMXKi4AsbT>Lzuu0kJS!KU>;#oq_WPl
zO9N(k6?{J0cTLw<=M8-nmiAMx!BP2U-zK_Tt9`aFxmIBJk0I+Z(8^<8hcb~NoH5kN
zh2#L$iRoO#R7*7uz}5C~->gu4L?I&0gnxtETuA7zw`rqkKOs1+)eb;+h)}Gb`IoAS
zopsE@M1;)n`!p-#e!hR+t6z9_*<_cNwG3qHU^?uGfWOV+c2;j+()4oUR7z|$-?3bq
zJife5*9n!8ueG4iZ40@zeDQ-(Ii_V-blp8a)v(Z1h$iLI6ro+fnMfw5Y)+F%f!Emb
zb(Ho~;hnp@5&ZwoC6@&V_%6O=K2?Ttyx7E)SsUIcwW;F_@U)m{aKqw@dwu6NOamD!
zd7hb?2K;*tlw$s<0yD=ASfaeNC<M>$ei6%Q>mJC9xafU`AHoD9!gHa|K57B`^YlPP
z&dtvsHS~WlDsD5sT^iuuzwy>|L}b`<(A5UL;56VCa=TAn^UP?Vz!shKkF2Vo>|)my
z)Z+LGn~Z}Ah#cX0eKzyir0SWN%A3{I4>@Z(?NWI>cOWf-Trfp0p_ClQ4#D~JrXOe#
z2bMdwsc?EZ=Pua6nM~t992rf=I@Aznbkq4Be?EeMiTejmsh<z9NMCx^0aGH#7vqC{
zv?GAjiW@bWg5Wu+<Ts%FB90cy?3&7fj>!WNbPDQ4{qnpk*m6({?DDlcDU_WqWZ=L|
z2Rr%roTa{z1Le3@Ixq2rB|bkB^}M6_!~VBAiLj5&x4|d$n*np3I40hn%usCF-Kw?A
z)uJ=|%eTbGfwfZXf2w$rDEN{ImuEUglsxLzi*&ja(v!|fIl{Wo=tL=11NO-1Boqw<
zW*No@amGX7N+Y03P;$gl_$jYlrdlEnq>^fB--0!W2Nwc9aS&32uX+aI$p6Hw_S5QT
zb8b3dxj-BS@bYaCdYCjj&jTb%h7458Zr*}`>ue0(2l}C?@6IkOavdKXf$*)f&CH9y
z{i%w**&zV132r0*ch=bdH=%{heE{y;t3y4ByI^vsqE%|{?4SEEXDC%>U?X4?qTG^G
zFYAT^$LyvSvdIwe*Cq{KAQ}z?_ixR{%Oji<R1E?J6E})BP!vG;2YdX`<2s;bjv)$5
z;FXO>_19yQes`UZ^GrF##eZo{X@8{`+s{6RZG8;Mgg$PR)sqVRzNb)RXLPC%9?(dS
zIUO6*qml!_;1?a}qdUaQGk-vkA;<Es%wm_Y_?wm-E-^jg4EY#-_OLF&{V=jo`ADWt
z7t^AEEM#4CbM}K@;I+Ed0x+IzhPLFS2haL`gg-rdGDpgmk4@Qvv%#HOk0d9e$R@28
z%xgXN8~<z`NQKoPEm$SX6t-v3K_~+)ie`l^XiZDSE=JnXCRg1x*V%>lB0o~qg;%L^
z7w9>pWwvoD(J)8nWf(tTZh2HheKi0=fZOIZfv%(z22da{oiCRzy2dqX8(v8ux>%L&
z1&kj>aCBN3Ci`MxL;CpsY_ck0GQ~xnJn<I}%Cno?+jC81l_3Meq@QY|T^et*!tL9)
z0Y@@BE<OkyGEm0<px7o~Qd9l69;t;gJK_Wz><yG~_1_Yk^GAeT!)fTGUEKp76583e
zo^68lA6)Pbzy%*Udsatwm%I0Yr`2&rT=F8|1A2mzPVnP;on0D?MXo(|vEjI|L<GpT
zty^0PL^kB?ekyyccU+s!o;NY#0NKLBkDSE|<ZZ(S+-J}5GnD8GDIa;)UA42Q4NLT&
z<2L>Uqu|Z2hAW+m%Ovj^yFSahhub}sow1l9rR{U+3Mzc27$40=Z;_q_Bujof7Gx+j
z<~6%qxlp0sQ12$}y(5>4k^~BA%<}Q$_fh?i-+yS?ygp8Fv^?SmCSLJ}fdlY|N)&DF
z=XCjP#DODf=y((|uNz%cTwRz_NYo91h`!0`ch~<LGaM$h4dt9~kJ{4y!Dm0RQ7_^t
ztbe{JL#ry#*D~YZEbuCYZfvwhIlVsD!fvF{ko|#><;$@x`f#LVql2lOAOn5p?!VAS
z?9xysY#3I~3}7k1J`B!LRgC~Cg~ffdPxIvA#)*Q_dm`PJ`)8p+gk9g7wOczg6V{Iw
zL`_XiJ7C!!_ko0HS)2vrQPPv>H_y_1LwmVK;6}W-Pb2rLre=T8|C%145_g$Fs{m42
zZ8-YW8{odU*Z2S57x|C1@suS|&6NumPD|XsUr<m`$-@%%p}>&)eSm-vLuUn!<Zh_B
zA{qkV-cMsD%667b*f8Vq(((0_xpl^^ueOg`wmPJthR=8?iPy9E#RwiRhnIR2_qywp
z|2+_S?p3yu9xm|~DDl;X^@TnG4b%DgxsvSm-1K6qEKX#|LVTj7UqgO@-PsWb2w?<v
zWT~o}iT#GoI7VJGCpH%e$Ijgk_ro^Qw#G)@NR2RbdPh|}Mgz5FZ0DkJi)9QKdM>a^
z&41qW_bRb+2f}k_a!zERu*)SQ$>l|KqP5|<dFAB{AH9I6T}?`BWZ9g3^SP9bQ0TyJ
zHy2Jyh!T6{k{q__ARmOU<LKyUFUqmn0l*f<xh|M|&dH1FDz`vZtW`YrX!h?o_~~<`
z$^2PO#->Jk5I)4p2~(C?CB}qHKRsNkOPWls?Qfc%gPmKi={X-6B1E<^RB6MO=5L+c
zWIZLuo4ykiAWL}=40xDmQK>0JV;7q2BO+OqDtX)_G77ktCGv@+$q^?_bL;0W_g}C>
zAXv&239Ktejrld@Ivhz+#l^Mwd5fZ;9e{0guV3(9+_<BIf@I`!_|IY4Au#sKkO4Gg
zzyGwJMJW+91*WR*8IU5trvPG4FFySMD=}D#WBvoJsV+K}?(`a9<?#Mi(Q!Wvbt^75
zN<LI>#sH2N%DjaV_phk-uBSc+1xF!U7285Y`O$ikwf}|IPu6+1d>UcMu<+nhB#HIa
zb{qTkY;-~@s0+r_0((W9<-R!Ra)Ky*&qfb1)ooGX5)l?|I)DD^x?V=&d2}qk{Jf~z
zj~Kz+Rb|iK?T4{bQ%|}60@Bn}((vIjh+td9kc>IIjlIHnBNba&`&rpPH9iLILxlxr
z{bV?;7!0N{ofM7Az*a2!@S8JXAdchQSUYfM%#H~~PKh9jXlpo~JN9qm!)ePP%wtwZ
zQ)$!@@mLSUHl!6<J{?RjVM&vVByk))@NFA>aiDrd^Xzkzjzi6q+4W)l#X`B?myDV>
z^=0YQ`@>L)&NWiR41g(<t%}1vis`p+_tDfFSCjK&A$zs%NfF)cpBPp#%5UEzlP=Z0
z&m9-S^VVWITb8ogH&AtvQfNbmigic5D23W(iH;lr6pDZG>dy}`RzZgBRXl_tIdhp_
zx-(xlU3D2rZ^_wWqft?&ffP7~R4!atWaeSg(X43LE8p|X`N)@PkJx?~+{YQ$ziZn4
zbpGRWHgA`o4^%8Jk1*gxrQ`VnQo(LMmQfQfa!V$*PXtUn<)tS8Bj8QN{cp0}!PETT
znl}gQbSVpP-a0Z9wmYy_CTAXCKr!wsFaN5v=Y#n*`+PtT7!*_Do`=G-G{aiBU!m&)
zwkF++bSfQu1yUi9w;%F~g8O4h7m$X-#6z?6XKf>l>~L$G2Tp-Qd02h6U5(OhDnZ%Y
z7XewjUKy-WR72aW&|8C=^aV-kKT@S(qJI}1y&4{W9#QeUemz(D88|Rfvg7$dRMn^2
zp20<O2on)BcM|oMjHu@MD0{{}7(*NMepT}5Z|}w{+)5q~PQRxGADN)3fC3q`tySQ{
zTkzi2U+>GZA(eG?<&dSqDuBTlB)83hjyi(^Ju1<p;s_x+(sSlb7wJl2OWoy+#m>cP
zd5jA^KK7Jq1!}gU`Pdx3%FaVs92-jhP?zWk|Cy0d9;z&`QBE2F)_QNQn53a_Z8n(u
zQ!9GDjxtLU|LGUW5O$h7aa$VPcLYTA`H6@vf4=#UwHJGQE3b>^PI^gORX$D|fBkje
zZcm}$>CEGIJaF1~d_;4n<}Qav>J;7GqFV53_ijNVq|*dEp_n8$+n{X0%YeTpu8A(S
z+U5fe>nB<*Dx8ow_9RCQb}po@+%P<>WuSd#v~m3bQg_sL0~Q#Q)Va~gt%uW+RGd6K
zdnHoTkb$hLulL=ab%ZVOg)|glF<Y%X_i$i@5Vdjc-6#!ko%r4a@p5u<p1cE944bc?
zRmGdM&MRhcQ--w`QRdwr_b~ege^Oqm#sZa3)Y8c+(_7Bkl7ljApHn{~^Lmcm`3Z$g
zez2AhO^tc%PXDA~bd>=IdP~ct_N5KhvZ|~M4kWGMiD0-IKcB=Z>gp7%C~c*VrcgC_
zMu#E1AOjx~zaSeGjM@#Od$j8>#VDC=P19j8ez+_SeGN!TQOQaA*Z0no9DjWp;IZbT
zOD-(!$)K!WJp*9D^=p75C0kzxND;MN*efM|zPi*BOSafvH4qBZvUSS9@f&)pqwCL}
z{~#5IOQZ9P64!Y1gx;NRI^0FYY1XM^A;>gY!@E&%Du_9%Yxn5Hxow+KHfU)`+1sb~
zGbcgs2SlVJ)8~X3f|BR6*S^PIpcPPBTIa*T@SEO4-xp7{P(F<T;CeK>T(%sB3jqpZ
z^Puu$DxcaNOQN7KkbB2nN+Hkpq%^oCt$+eohq%l*6OFQ2wVF;pAjzv*d(ymz=u(n0
zxdu4&%S`_rAh!_9BsmQN7ZrxT=TqA!rs9onq0WhF;YENJvZyyI%JV;4UfqrCkd%Xc
zvvKIt973H-&P-?&7?tHILgFbFaNMwt$BtZ=Yk|QjO92^)eIduP132tC6L5^(+<>>&
zcyqnZ6cnZ&p3x1!<{WFbXQ%L4sN`*lxvVpo@W0emFN<OxOvwK?$z3#Y;`qq`F4Kt!
z@gg7~%m1fdv)|{5NO>ed3&D%K9XPX>i+{l=k}cUw+FfaXi6QBQFjL(YAdwyo;$*@y
zV8_z@_GZrzq*)qY9t??G@0tiam+jQo>q%3O1x*_=Krj%xPLmeCs3h!BM)8X+g4CzL
zE=%o4$=xygMC#M#q5HtMq!@3W{MDKM)-778Q7feK)No@s<sl9+bL`^z@wQaO)7vpF
zAf))4QDM|BT<!ew>fhS#zf#iyHTBv1HZoH9c=!#(rhS<5U(TWuAT#Om`QkyNJM}Q?
z_3`~)Kd}K*sG&phWE=;wYnq#gnH8;?$f~9-_f#0{zFBr@@8qBAj+Sim&Yblo-vDU;
zhW~Xgy1;WKlGF`lU?ECF6U4sf<Pc6V$;myn-lDG(GqP##dWD`TKc<nN3!HeYwGCkk
z){aMPNUj*N3H4S|hCX4yf-o<Ag+GPn7B3QMg|Nxz6j87!a=~q8^k#&KShh#|XDIPP
zu?#&JKm9)~zz-9M;t%R5b9^}YDY1`@2B`GY;RblDoy6Kb_O$M&Qd>2PopZ5a@#x9|
z8Y=<Cq%H_#lqteDw;+%8x!_xMMY)<3J|G2XPRwv)#<Bb@%xB3%)RwJnw;+lc^`v&X
zbVz6K-$KCL3G+B95PtP_yf})nWO%AeJ>mcha|WKnH^fxUEPivh@wE;@6lD{c#$^C?
zhtcB!R|coo{)zv!pdQ%Vc5FZpQTto!hrK=G8E#|<kmUu|RcggpiD9oJkpOvS@dQi7
z(ScR|vUTq0y!z<C_++)w7hIW(O0>vcJu<u*9XP{iG0Deb^GY2Nte5wnXbn<)+~V9q
zy*^xg3oxYeIz=wDxu(PWA-*X?4Qrn<P6oJkQC~e0aaW~YCXds{>y?7Q&ri}Yog^lr
zZNH;2kb0QN3QEZ2^PQR}>F-5EU4P!7--vimQ$Oj>Ctv$`dNL($u|m<mJM||HEj2ul
zjKhWdyToWb4>?5hC9KVoF-yn#yoomqc5pHIIq9dnQ&s(8j_>B>-_%qf5wOA1ljf5K
z>#_Y*I6IMeQb)*WhTHAUl_(#D=<t^hNd-LoIQfG2;PAq4i;Wh(P7)H)S%%H#Orl|y
zb!VghvakE=K-(H_G}irFVKM})-+#h<O}p*73CEvBWPVvwhJ3$@sO9P1qk9M<AC~Yu
zGTh|4v*T?&n0`Q@(AGkYE<r290#0R7i$x0^5fuDx+}69WcnBZOfb#Hw$<Qn*=be3O
z<pQ-jh22)uusinp9z9_NOrUI{z?RV?2E`e@AR3Sx)Su5>D8~rOJBC+R*j;<bVwP6<
zq1{O0bvz2h=a~socFuPin4C{5NBZ@}cwzA%gL=;CUX~jMwur5Cx)2x74}mDJmW*xu
z@47Jkzw6>vaM?N-((Tgz4Oh8s?@GKnBOHKluDxq_lAKe@qdp*@)Wy!39%rzW5EN{a
zS}e(yQpBSfObBV!)M_kX331mRzEKXn;at3BWXfrIhpr$NeZN-6JqDn&NpHQMA5r^R
zwSF{5R*k-SKZ!9SO-hP(tZ_6w`J$WtfH~^rGCcqDG!PF<U?L@GQr__WCf*#ou9-Dk
z_06hzZL2TH6t()1QHdw3Us}D6-<$4Mq88PYI!`ipIob?aLY&*`*79=KUdVLr%(`jo
zBJ(0X6(j#yToPmt6VxY@zh8QEv<GEUoKk;|93E^e7iss+)8Q`lbKaVzo(j<C^Fh`=
zWG!#B{3J$(JNUsuZcR)cTHKeoD0+Gy_cpBxGfq(aeclAGyRB@t*dM77su~)%AGDTv
z{G!=W4Z*>%s$i8EjP8t#jQs62ou!Q*k1zN4jOR!3x4^h$IdSeT8_T^p`#e5N!V$_y
zl%Wp?yVmgF&CvD+bM4K<k{?r0vE;bT*)uAR;JCGekRrT{srd5PvZzjgUXz)*7Y7|;
zix^c(wr(?pAhSkVSeSkQ1<Id4IiRqGSf4neEufiEj$DEt2;tX3=>iXrGiKYrvB;1U
z-<!TLOmUc9MW5C%`N>7oA}Lishh~U1-<k{>%K~-=EJa)9d>>TVYZ<dZ=KMNP-`dhX
zHGLW&a1azQYjHDT;5M86N0e&r(B`h6^=G6Ux$YHN*5PVFB+gqOg|%|$mWbR`FE*i#
zAGu)$n{!9|w<#HfO5Sh9k_x<524!!BN?PjHzcFjeJ^R#!doR7i;;juqtWwJ30I-df
zFq(ZoPEkN7T0Tl9R!FbadB<Kf|028;e)oy4wvYJYT7#Q&;CJu!--jRpcdA-QEeX3$
z+|pKg^Q*!$QiWF7W9#n6vNG&g(g`6de)1j8?0AiT&TOfn%!c<hM#UjPIIU<Kvb4(C
zT}9>8X50?Zm7N}AC9Q<6AUtdi^SU(Mp;uL}{ma%!aa4lQNa)u9-}6wZCZKC73v4*p
zEOkhOwqjZ644ZJB*4CsMCKFF7`4`{>!PNxS_CFiT!muFnFo@1(dwaiZD+Mb8Y&1$-
z9FmztNinW+Y;{qE1(_Z0Y|Z42rlgQCG8cNO->{gch^k?g;D=A`w_>SnXJq=Fem%Qf
z{P36U4wQ;G61!Nwp)O%AXE`O|_Ip0^=;%dG6-sp!<$NUmeS*BAu20gDx3G2FgCI)g
zsSvJ*p-i|Mc;vlSw1hEa>^NBWVaKr?n=?wa#+XuqMbX*mX#h%I)hIv=piDSqA@4o!
zf*2?ua0OSr1CWD*_Gr?xU=$OM`($pOVxa2z<&OK#?5a?#U+rs8&@r&MxX7vmxIy(}
zlX~H~?PKb@cTL^SMPe$7i*Zz9WF$le$eBNK29ce$2RHw>gpOzbZwYM(2J+m#e?9fj
z57RTviQssk4+tq3uPr}5`-~~fy?!P?pCzWkE)B@A_Wt$)br7h%pW0mA&y7|!8P4uj
zDi&_?^9S{uV;(aNFma+b({d4dlK<$ra#S05LP0C;N~CsVguPF#UaC4rqk+{BCl_>J
z)-y9Fg`3t<>RxPIp8Jo;SZkGJWwtO)`u5P<l$!Cnr9(I{IVAS7fv0<rjsQNr5;GQ-
zR)y~1+?jJLACa6^<;iWXEx2053{2Wb&21>IBOeS!atRJo5FY`Xci!bfX1>n8<DZ{-
z*m<j|h<GFiJLdDeHzcUwRi)-os{HzOsjjTR&Mpn9yuats=>l5p&n~a7IzEkkjwE`L
z&Lo$!CJnXF8F_~Jo*pCCU+rlbW3S<V-iQ{B&FA#_GMjnuzD2)MRhdgi?LLYmV)KFi
zuBWFb?rn%w9bfcsiwLe_54}M-{0_y5*<)&3hVMAY=(cxCE4H<hnTExxyx!xIrl4kn
zH--)LToe}<v&b<Ql)e=Ehfu^vhG4@eSwa5l^AJ7+fy`(z9wcTjQOW3G)v(4;*l9i$
z>q<C5jA63g5u7%d3W)9G^MPd-1f-*e&gYJNGT~~nTc6A5oVSl=4?ShHP(X2Aw*`b4
z4TEnHr~=V^b0YzjON@)e1_zY6e;-qpVGWhO$9QAA>;hETPnb;%SM<eNiAkF@BJwRY
zZ_~fE8Xayd>|P3)9s8V4KG7dT9y57ZK!uz0hq&N>(7zKqFwXQ=zS?d(%Vgk^aSr4A
z0ejT=gdsfFVM^qBF?~3+Jiw>urVs1pr>M9tuz6gp5D&<d%|)y7Rvu~Telvcgp!Kz;
zrV}QvW@%b490+ty;^OD~uU3cQY+=7liU^tUHu;(CYJDh%nAC-4BxYe7(_4Br4)_8p
zIP$D-zyEP{mH_f=EtCxJANr3tc}$QlP8}e#YdhJ|viV+TQ9RG-jnpF2?!99&4jL)V
zZvIsGo2Rrt_#`A_lgmd7FurxAs$xpZ&Uu_cM&`+P+J^7)Vme%mUw+7V>nsa`t2!=!
za@$oG>J~m&EX(14PW2Im0_y1k&K?Yggn8*a!Xbvg1z^B1-}R0QpE?o8x3=;*G$cQ`
zL3r+I-M+I!;WXa`jhizp`(6<K$nwKsU3ZhXMX$rLtxtqZ@2f~&XNE@UhqlcG&qc7J
zWD^WzE=^s(Fpkjv*l(!Hd!$@pnE;CIxZf9h)aa}_v*X<A)6`KjJaw+s;qJp=u71CJ
z_06a^Wy&s*i~G^2`&lCd9~x}I4P(hO$N8h{!4)KL%tC-5(-4rCn;7Q2Gt(Gp3xO_h
zx*7ldAy=q3v{(^Op{30D#OLeom(rJCY6QJcW@G^;F|yVIb3^ySj2f$aFHLkx^`<tD
zYSwSJVPP;I?kNWG++q%L%PLqE<cDHlmON?}qG6)3oakCL|7Oy|x}!c3Iy7>X+DraQ
z&`vmAWY)0G&6AFqCY-asjRhx}%|XSqxq9H`w}5q_{}AnqTR<Lrvj(N(BVN3IU9H1i
zTSgadF<bYUQyFCJmqc_&vbDu%2UC5l@0kpIVsI)Fj|B25AefsusX4#|`j@AP?$&le
zC<o|2uXz1UdJ8NvF7!@LPIL7&>8zYeU&w;^{SHTiEkH~zs?w<RYH2To>G$lcY2&H1
zGtE0nWx+np$k=~na56-k6C)7``?u9ZZ6Tgc9U-BV1)e*you_}`Ab|Up^gU}umM_MJ
zslsjihqo&hxxW<&bbKH~rq}R{zxZYZ_5&&Sv2fjMHDxTr`(o!4IqSm)jx%(bfi(rs
zdPZt1rE;LbCRz*{h8Iu4qPX2WId44h0UxWb$Rb8~`+!^fE=0%Zed|1>z7&^2{@~Wu
z)>_TEOEg6>6bq+q+>^vz?NMKf`)zNi!mU&-d<s6S;kJSZeM!-ph6Z42501=uZ1#g&
zr|_MHctOR;Lu97#%VA8<?cS_qV!TjMziK}*r9?+xRc#aIpPCOLEjZE$Di?X{W^pau
z!_QI~WG%SZL3ARH06R!cb)=H3{ZZpkuUF!ob(|=<ri^}WIQA=KU1P{-xZ&hAdOTK_
zm@?!JE@ez+WwmpwAj6@#I1U#U){hlu-tW7sC@S-rPw&D})<a(vi$2!T9z`hKT}i`#
zHD^CzEtvmlYIiCk%C0y(ieDaK1>uafBs6rvLH0P-^ukoM-SryXNJi_#SB3(piO+(I
zi*0cw?n_v1{4xK%YGv`^;I>Qv*GHTfb5VrIY!OgD^<ywim?ulc#UQy8yCt)JssJk{
z7)MhVhpF7`nSp_Us5o=pe{5x6{{LNB0$|PbA4EXI2HHSy$;{*~X_D1}RRAnSOIbU+
z^hfCWbu9P$XbTwiBV#_b;bVWUzh~5R`ch30NP!)oNom4&|Fnksf*7IfpBhO&rMXz~
zO-*LnU|>c{5nmSUsII9Qca;49h<Xc#DEnx8dqBVe5e7u0Bow3@38e*;L26`xAqAwn
zJETMyLQ-G|fuTF4OS%N4yQO33{NFz3ocHAusBC}t-g~WmEy6k{H;4)pbMCJz2&UrH
zwM?vDs-=DRDK|Ku#pOaKm;uzv2(lZ*YGE@6F=JYS{62={^FI!xPx^kySfs9yT|~{*
z$~JqxL%@(VXXER7CmdlG50>WfGvm<GF?qcmBhUTRH5#)ofSV9U4)Qbc*ANn#Ad2C6
z?Ip0YdquhCGWA`HYr@1D{(Q#LdlX(UYTParN&u1s0}>VD#>MyVN^ELK3nBfF?mr#l
zd*|03fHiD;!Kz0`h!o^!Nyi1GRs*^0_JcRP#whoPnIq-UhfhJ0ZE>yu@2JUP4Zx}(
z>MN3ou|++_Fz&Xk-&;jL`h$+n@#sNvpL3&fl7_ZmIHUkd9IycaE(ceSE{Z#v-B1XC
zfNI)j#!uGf%A?9tX1Y;|rH1sQ9DCvIc4WTYIztX(z*TE2yK}hl$S|)`8Db0sV(8DE
zT)=#j%r-ZG-}^d3#`{7srk_g_6xB%y`kVb3zw~{`d%j@cOvUFo4;Qra<(5c578U|k
zw4_6WcAWmwZ-|Cwcsv;5imk5h43H8|Wkd!n;-q@%^?&36RuMqJt(W}CXUMaf#Qul$
zJ~2O>B35+jobq(IBD+?+3hDnHhyzXo{SK+j|BA@@f4_Toq^qf`=1C?DzWMWMEgwkE
zDyo{rfUeU0@y*BxDH?EW=iOO`LJSe{1{7e1g)^YB`nQhy0we3v1oKjb1L~Lp`RMkE
zx~(|4u4hTk*G}}+RH(|`I}?G5e71KyPLDt`1pc43g;4o`X6eU_?+OZ3wVW#IAAb=L
z^C$}+>8WB7n;gcnb3Zgg=kAykwCcTi<KydmV<#N1O>HEHE9GV|?_?V5$X>N+%pIO+
z0ipWZ`uUd(b~-HJm?+{?@M~=!TcP*Zv_XeIscULp*xp@P)o!{eI=Yb&N66`Az9$3j
zEfQSpLzTv^SnWd}0wNi3HAHvQqZBOzw%_t?YHal0UcV>DK+Ae7{5qpaW1`Rb&CBk7
zueIw7;PJ&o4S{?IjYKErrBQ+Rj#5xqpmJ+$Q1m?zD&<!;q=f>YBZ<Mq&-R#Vb|@Xf
zehM3=JP##tV6V$JV8vqKu|`kxy^(lCGqz<6TI6emzQB?TV5H6QjAUNXgMzd0AH6rL
zvzX4(iBrd&t((|~&fp^B4tX|fRt{NK-cLr1pvsa)BVt7rc|?V7B49~fPMt<DYvB#<
zuv3HY`-aG%Z?;-6f2tskP&XQ5`8IC}{`YYBOC$+ka*37pg{WQKc(E+<+cE?Si;L3|
z;^o)_NBBSn4?llW_RY1zSwVXK7SNpU>{xLv`tG;y0;e&+Rf2ej{`J4++V}CYFdm5N
z=*b>hydqi4OD@4O>C}tYi%hnlz|;KFFriQ&Xl$&}q4xSH4gjAq$e6kc2-B9Sm8$ti
z`GMHa7gcSSQeLePhJYfl=yyhXoy<4I?A?5YMZpg3F7==4__H@HDC5kp)hvg}f}iT7
zeY5rbDJmvrjfl6N3C);o_PyJip8qHVLR6_w{cf!=eucccx|Q_LCXsCouS*V0r;1jM
zl4h%eJg3<Ca&t<-2$6PrqwuJga-nYGrk$>88rg{1g&6SYI&Btp<mIt0oM|-AMf&b6
zt5ja@-rik0vTLm50Ky+2Bx)+vkuvf*_5J3gJ-p?L%~7e+603rb3Rtgowk7z^x$Ct8
zMl6<tELtgo^s+w!vsPP~_}=U9CYC4WQ$0IZcH`&+=>z@kPv?qSOX&o2c44xkPHl<D
zT}YO!k>9*+!JnBVlRnmeqT7{QSfJH!*isy*@2WQ-RYih~7@2Zk8KSlYNu?v?zG?7I
z-(PA!Q7!R45^%vH0$9MV9c>r+`E9^<E!aRtHH(E$(VR>c)+@yg@)LFu)<_<$1|E}P
zvS+LVh0!p}SMrQ25P|St_z$qTm>BJYA+O>V>LNtmN{7&cQz;7pmfQ8YeKcc%tBW}S
z600+v+K;yZqvr<L#}|5=nxgjp&E9twWWHzr3gH$GkuF^DVwrSY$x%8L=T!8?zrY%b
zEcI|8J$6)zHl|cGGp$j6&hR(JQ67?*{+=+>Yfk;~{W4yVB%g_<Y*iwk`awTkJ`6m=
zuQ>C)5w`DqJ-<`|8$V<O0Y2{!DYN@$K@fR=%KL#TRa^0MR$jt3`?y!yM!1<;vdrI+
zp5|zC!FW+B`3!%HjB|TvOn<@D&6_)?R~kvbKT;?#%qAJseTRHcDyqEoJ)Pg~iC|Ya
z)1FyX^1aUc&_qDXC>3QTgxWKotNlR@3)DMF+mdByL_Tw>PoDRum;5Px@#;2fXx3zt
zK?-=`=B)Vn>jtjH7zRbm*&aS?Y8=088qS@w;Z9IEHwtSx<4SRN!2(<n7FBG0q$EKQ
zfXKC%^R|aZU!bO7dufwq&&%szuzuW3;8`GGfQX5CG{Njnus&m{<J#t^G%h%+x1f)b
zm{F+qzwK^UJn+hA&3ij5(*B#jT9V;c+FtZIZ)`0W?0KN(`}~e9Y-tKKvSJf)xaUi4
zy@MwWmieRApJV>bD1K||=T0O_`%b{?dd$lu^&XZ&>1|z2*#zxwWkSJh`Rcih(%?~k
zR40Y>-x@L8^}`z$v#+}f)-pQU+Q7YEEGznGigBC@DTl)+uDt#MGsrz&+$@+ogA>h2
znZ{gz+e1oP{SEflrNc>`@*XmPcgW;^Thxr;OS~<vOQoEZE5JJF2gFGeFI>r~f2yJ%
zqPu0pmIxdY_i3Z3_qn-@JoMr2gINwxSbEG+QvpA>uc)vVfS|sE51)BmwkIYefXKXt
zOYN|>8rB70|GMR~H*@1ihU<|0^l>UIWUxg3*#^DL%60hND-<15v}BVSC`u9iUJ(HO
zextB*)|vQkI@IH4$Gqw5%%|@J)wCS?X&(%7b2kfj>X3EJdA^Ou-HoCr?F#<OAuiF~
z*(HLNktNT+CSrH6ra8A$jYq`rF^c>v*QkY089`m~L9QwuSrKL_oY$=7!LRYS;+1J?
zYU-*J*P^;j;`iS^_=gD7MzW$^=RMD_F$3FTeV;W3Q>h>3W3!^iUn!1`Sumkz>!+)C
zj2jp?x26m~Z-lu>%ueH1JkGW4+bwT13$=Wn@L<_P&?pI#j$_kY21MurnPdy3f}IqZ
zvFhk*9HYy6<$J9+$)D{ehcn@+Y@9C*ejT2#rz(I&Yt!hHT$E?sO#Q%Szlk}4-?Q8U
zl5$OasowYcsBGjn`c?A`2rGjm*vvRo=V7pv*drjD@Qk}E6E2vh)fZG)PZ}aSF65sN
ztF|V_3lJTm6BCV0_-^`(q8nD;w5yP3T45o`J}ilNH;AAJRk)g8&yMtS-ACE^v{HCt
zihy7Sp!4JG1CCQVqt<9h?%dKK3}5|tbMt{9>0A8$&S_^`!DRUhD~mM8`R$YO@$p-O
zXA4`bczxwb*?z&mkFQ43-KT#=;KTN3O{RWeR33MsfON*%2PgymV>Vx=ru~JcM$BQ?
zTk}hTcK(^pnHtyI9VHfYEa}n_n~ysc9mq<b!kDYM(fR1)*Cqm<q58ZgZ*64TRuAy#
z0t=j~9RvqClDFt2A&qu?rs-m^cpH!{>xbA;VI9k>tG||o#ggw~|HyJhSB#kWe6t^{
z5`<DirQmFl`CVyBp4&dZ$s;9dCx1?>#tmjd;Z!WbKUfTn$TZ_+!P9`jaNMlM^J+pP
zjhp<u$@eOJ_e=r^9%Enq`P|Mo$9X@78E#mf7+s5pW6|z#6l?bvSr^7{)HG4=hX*+X
zK(ex`vlqZsI~!{_Z{y3Fxh_!#(7VL?Mu{ZUTlmG1_e(sV!@+qBo^6+X-JDIygeTgD
zBh(N`AhCUDRx{JIfA{<8u_!m8wE=Uv$9N4f2)uqY;HN6=RZ2y-QSg<FOI2%%cA=Jr
zNa#9$gt$p-l9n=}q15O^PH(bYM>$r6<HgrSwR2HjrZD-jJ^YfvL=6xK^=M|P__@XA
z0|3L(BU@KZ4oQa_hf4FyiAIu0zp}nt_A*B<p@zEbbLi^CV{w16v+!wZJKD~*t(Auw
z%HunE+SFLu+IaNI@`?{pmeF*T<6NA#zhMB(aIGKxLS%2Bp4_5DpX>X$Ol~^)ylb&6
zN)vUDHlBLo8o`b~4a)pgeo&+h$T)oo+;^OzH7ucw^1$K&HsKsVe@?7N!qcgv1B7aY
zc>urmEp&`t$=RJL|J}bjy0bUO@dDx;+Ldu<s(~o23bUW)%%)>u_J3`L9O}t8u7@H@
z07jK?gs~KbA&qaB%7AmLGZ1KI`lUc@sNTub(W~_Riw$m0CZ`(gnGHGVl8Kq?G$DOd
zPfqOV)eYd=(8&N+gD&+z`nJW_4iVq7T}se8=Ax&k=O!{ORWy;iQ#N(8bOT5Cb)soo
zTmG|nW8UD-kMK=4ja`-4L>V+)gYPtLonBu&`cK>v5qo<18`Vy{ht=bvT)Ddy)HU3|
zg>skuR{PlLRRj;(FXJ*If<SZ^43B4m{O;wEQj<bT>9$-8RKM1-Jec17M8qv6^2^?9
zV<ksRx{fa&pdhxWxxdhHI5`3Mu}7jq<%K>HwI65$#Teg3(W527wHNC)^>e49#3b81
zwHmLADUFnrlz>F*l*m-kyMu9VE?lY7iVDn46Cp#O^^A|%+5J|pq;!w~7{@B|q1>Q@
zx_D!AB~AqmHV$Fiaf3=+HBP<L^Frv$G!uD_rwLCIt(>h8%RA59&o3N)Zt8htu3g46
zbsMVxq&>U0=Z>^r7H+GyR?tM20ZsCngGll~uMRW&2!WT4!Cd=C0W(}b9&z~>%m{eY
zl)!6=-Wf6N$;uhx74R#ug3&TggQD;#*ulN7vq`TciJxhV_9B13kZ)*7rAkBEHqvMt
zPUW2U3n~(5_R~I;aEo#m`KHCh#BlV9-|o0Q=0DlRewcZ%#N1U48oXHROYk+Dk@yVT
zIzRsz5qiEH_8jyRh$C=ps;#{+U07~@0_z3LUkSz+tv&MiAHho@*oO(mlwF6w(j;@~
z-y?OqCxG1qz<QRLe*tgV&~4TE>Rs(~Q9U`RMlet5o3Q%hfrZ)0si_NI^;O`Jf%Pg&
zh?QD*JM!SMFiBG|91I8nE^(JztA}<x6f|^nU*4RJ486@cTQ`1&<>&Bf*0xC3{A^-|
zZ=z{mzsU>8XAm6<=amKzVVZnBVn<$qcdy>6LQ_&wyf3cq59e`Y^Xab2%7dfa)MIPo
z%?;d@n8G=8H-76-)fkiD<&U8JS3=h0t6k8JYfrY7C6fK0`7PpMmzL8sxz^YC)YiKi
zTME<ISXqfmJTtQL^whSzxk$;(_=C>s1feNBI$e1QQMP-E&Ov^Ybg%T%n4Xj)A8vSE
ze|mgO!<@d^)*vixD?+aW0wD|qI-fL^hdy?Yi=gH50hY4BW*F<EC~eooa(+JTLh>Jp
zIxokcI$UwE=DQkh(Bk;e89qablBuI3ri1-!2w?t{kM=s8j}etd(1Um$h~M2jdLel$
zr`PClf@U8QA@*-^DGc9@Fh*2)arTvqLCn<#xcPeD!7YlA+Xxue51!=M3i~GSstQl0
zzYl|WKYF&gP-K!*z1M(K^@ysrTYup%uifU}U;>$iBS{&AH&Bi*XoO#<(#|H+`#+UT
zO~9~vB)$dzASA)3+9`>dVifmI0xN(Sz(<D&2N%s9y%Q`$ZmT$v>_jeTMQ8!NlOJhc
z#;E+7@F&Xx(;0tN76P^CEPPEt7BpD)@?IuMmCVf#(<Y8SKtI@g(uH~Kc{pfsFD&Hr
z^$YoE0Y%^3(WNgcP%*FbgUm=;%7^Ysl`mqWh$V!}tyQ4rMS#;lzp}kK0tmzdF7H&K
zo0X}*K_C#dYAWiQY7y|IchqD8_4i|GU;6ptf1gch&3L$J1CWgy;_7oZP^7PaA2i`y
zQ(f(o6;r(;tWm6!_hEEvgbp;@)c8CQSpNag77Pf2BbAfX6FBgHUVu>quu;D(viqA4
zr4Em82Q$o7Rrepy+?|*-(skLVPSo7N;`@MRMxQNZ!h4?{M?DBn`e!;kuQul?;P-(4
z;LUz{pqBTu!zl=*y#j<a9kexFUHVSxrL4h!B+3>yRgfH~SlZe;*UuGbl=v)!0>_}h
z7RzxE9jou<Ob9}?UMAiBUAo>}S>0iY$bn5dy<)ll+_ZE_Cd+{>XAW-sg7sdnl&^O0
zntz~odF_O^gKbhj7FM7F#|A<NmH&<;U^}J`58y!n9@f?y#J4SuY`Hg+#xWIU9<<c5
zUrA8fbhk5)W|(VytMth_;@CA(EdhSDNZJsck2BkYEJBuhi2-b7Q0Jd=edWLb@q&gS
zK$WWT{pNE!Y{b<j8f+HF!o-T(X`Wahs#<_Bo+2Z;{w*C)5L7EXphRpa<P=@V!Y2^p
zWH})uPA{$Z<vB#uqja`*9<gw`VvK%F6#&ostb$n61HpSnf*vbFz^63`cyIZikiS<=
z>Nuc=C<wtQ#!!TPVmt_vk<ZpCWhv_Q-2-c%$UywF3p2&(us(Wr+2CCP$5TSwOeGpP
zjGQ!do}NV^Bq6JN>2_jc!ZxDm(hGZ&U7(@#hmVT>1!UZnnY+87@S(ik2=^Wh@t5{y
zwU#vC-8df3ET<pd3KBC_n>_E>cpDf+558^mKFVO}#WXN}($UuUQjqVa+@M3Dt{*Y9
zFO^b$wKX#{JHHyaE}8z<ppW`HHr3Q<m^Rp6?^6dx)v@1lTeuXx^oswNLkrD&#d3>Y
zEt0@OJ6T&lv|XAbrgQe-?8OIB;Tq?M207KEcu#8*AQc?-nE7_Lmp~b|Ch=-*Pl>XQ
z_C733H_}M_M8pj4tH6oU6r|g!W?>q3Cj!Z>tVDL!+n!C7I0?CU7RW+H+^=dTychI=
zSw&m>>IXY{@X|oCP$ml%(HB@R@P#SaPc_XGOWTlVEP!dCm7Y;@vNe2d{GrQK9XoOo
zxcjYCxt9>+_n=hFVSB?95l@m1n$%_1X}NxuA2~u@ReBGU8{3PyUR_=7izLd(WBma7
z*pEGvX?lNn^hy=p+X@VOHTVph1QIuMt*@J>BqSsjW@rDYu0WuetBYu2_)6Wc1?nIz
zX+D0wu1}%*KIf~uu2W~Y4cm3jk;fZ!;x5=uuhqYK77rb%VM$izLdw{Vp;R`i5~aYV
z(h&JIla0G_<@bEczUvK#w2+?%Z>vksxxnM%zsD&z+q*H$_LaGsAA_uiEgZQkwK!+g
z7-_IUQXm6<1p4Hc&)kMBzRvrYj;v2eke@Lkb)yxuJ}SeeGf;5ywDM`x<7uK<AIA#4
z{v^edVJW_+8o+SSdZLLin=wey`;G?q0$>s%Fm?VBnwhczWYb)62AlARW~`V3s2nVz
zM3FD5(`COxo3C5`c%S)Z+}y^opyT_PsLmri?t}dD8O{CEe0_u|2yYt;7J$LGePxAd
zV?jSj1;mRE`Oetmt1038UyBwf*CHe!AaG6QZrpjLFH>}VH`2T02nc)e#<tg6TM5l~
z+3(4qIMBc$3g()-we|V=`AGBiyHQbvh7X!))&*lgwJroWs21y*>(-4myHT0;@ufb7
z7podgmVJ5s8FIYXem+H;CDJG%#8hZ~qCF=W2*dyY`rGwX#<PFBWk5juFDL@N3L^#4
za~}f{RAUZW54l9zn41n8{Z1yd5=yG}eLTRR8lR>iiUQMz9QVh$zHQ3Kb~!l2l7BTs
zDSDdQj?Vp@9l(f27_l0EOXBl>kv$vL&wMyFDv$(^zt>5@iiTi6l=*;JdwbvZCbYPu
z#1wG~1VwwMJslVv-IQlg;IxY8`1HG~E|aH;2Od#}Q{;?@Unuz-Y~Xftd7@Y13J?Ph
z&Slgyy4eMOQ@X9hWb{7<zF`Q)rwO<}9=q%gSErdySBuHa&SPS5V<~?!oO3Gt4CKS1
zCvHOR>RFzRqZEXu14(C$QKRZz<1p#~)g<xyZdNO+`)ww!5{Y6@4q{0qB?SWgApVe}
zLP2rA3jr*i0{2<!;F88N1=hLQ*{s<4M$fb3zt^peSsbax<+6npz7+Vtpj_YrJA
zFx8kf)3@?SSv;)(-f0*5ov0e0>V;hw-HD<a*<Zjx8^DX{NO%jPM-Lv&QjF}M%MXt1
zyr#OnAcZ^|=i2N1E;^)908h&9r06RTgf#5~&|yaTE&FJXo@^Gqr<$5%e~1+?cj1?3
znR>3dK8rJ<QN)pv+fM)5{ovr{=iz?;-X^niWj~0+<_P-Gt>33luRk0hv;dt&iA}Qa
zH`5<BsJ~l@!DpgFm<Aw{^mM>$d%eY_mV+mC4bB=+Y~<-xN<!l+=ItY{1Ca&^43Liy
zO%2p=N6KY3=Q0ToVYr)w*}_c6K7u|jPhEgoEK~>Zf;Q|jTTTms{3U>6yt`{HQ)#UY
zws&$O>nbbk9TP}PL+21DR5Mq0a;P6RpwiZ2rF>U`oU8gY33vxxBs)#?lhU6oAW8P`
z%7$I`7FVw_fAkJh#AI&*lSBfYxE?A&d7rCqX9_Vecyyb6ACw~XQ<zulIfw<VHx+FS
zjGF=gXtgsv`jZGN1#^P_cHmR{Qvvax&C>VUjLmiImCkIPgbn=dUdSNgF_;W~I}WT_
z?2?We?i%tKfpGY@-mA3tb1hUhbqRXgr@>rCS?^Y@v>3mkbaOw!u^4>1V>GK@Ef44u
zy)cb-l*H-%#<wcyR{SB%fI;S_roMQ)YH=XV8sJr`7r<R7lygS!pLLmIcX}}o|E3Uj
zL!C3sOcL5QHNB=F+#(Mi0$N{PTt9N=!04rJZLS31{`Df5nVA`&(T@&AM90QI?r}uK
z%k@H8X^7qsWX0l;RKCD#T@LXxPXek=gB5<&!;Yp+lZjK?79$3+;f9#}Ig3#GFvuzG
z$FHN0$z+L(yYW_NyId*~TMEknxchowH+0ai$RC5;h4}<cFWasU`&`1m>i&Ci7E=D_
z#SysP0I=cVa)8azJyn4fpP_jBc8dOzE^_~>X1?)q_|93`#P^R$NJz*EbHRAaLfx=N
z5M}WfWB6n9#P?yF2A{6fP3P!xcq_oJX10G^beJi?d%$q&o2A&|nCgs00Rnn2&&<<n
zub|F9-dIoukX`aLL;cC#SXEUO0PU`dSP_<w1~y~&T_ZANZA2ImWctmngPa+0hciTL
zD#jmG1_q<wx(<#hc33|m^s|dDfslZ4ja1li{H8bVWItPwfdD=X91a(e!GwBE_*=Uq
z;p!F$frB0(@9a;O;zYeK1>~bE0>+LjHI*FOO6MxHy*<ygW)2Ix^f@V>$EQ<!7O8iI
zy@=}H<|mPS%rsV|y<Mbk>CIku*TL$Snrf=`3}j|bGr{Iqg(8yzLMGN$MJ2p`W*jFH
z6!r3HtxnAEkPujES97q_w{V&{?-rC)ZN%{D$+_oy29$Cc))&w0iBqfV7pVjDJs33O
zX#md?W}|pB&>hC>12s%Fx4{A|qHm<Z8=}CUvIhx5J!Qf(XyOP?)=TnnIoq3?mgiL*
zjTv>LEPDl41b;K0@<P}t-M=Ycs0xi9A2LAab`0Dqu@7NNnna!ua+4<tnk06^pTz~o
z$d6ebhNr#(H8%*!^M7D9d0_h6wTE$_yqx0`MKJeVk_Uy9<qaTUN<3XYFja*<rKNo#
ze>8QovO(A6ZB##J1E}T`4_*moc*Q|oA-)&8w*R)0RJRfTGwuCYl8C9}x!o_@0B(zY
zeD*49`%95&to$-KElYaI2!WK|G5c0wRanV-&#Kd~7RKhbuiDPt@^44Q?1S0Tl`q~2
z^~XiPTnIGZ3PV4N-TCkUpU<rG-2AJ4?q`|ds*89?tzWyP$+r4=&kq4b_eIQC-u2Oi
zg`t=XvE%QuAOjB+V;CvcPdH_`-c0p9*r%;!p3UN`FOlScwP&(g+gd|dUEpQNJ4!T?
zBD|zjJ_iK)w^;g{{{EXI5e^IUNxAfZ1#Iws**@;<i+E#1yfHFyz@%@joP_{X$^n?f
zc{>4XT}os`+N^GD?Jz-~bkTZ{Yv-AbQ}Nthv9&wYqStJ)T=mfDP<p0jDczhRIDtzy
zKOYK3z>juM&0dyJJg@Gv(ufTb`I**mvMv6MR#ej>C?s1iI`^*lt^UC409D_=+4i!m
z6aq1b;1HjdS2yaUJ($d_(T7Oh%mH%aS3?+2*P#N^Px6q%9RX;DVO76wB=z&hASwb$
z7Tiv(Vc-OI*EK!X1Bl;R>eyKp{`$e)E6KR_$on>1RxLM!5l_=DOv89=|8lMxA)6H)
z2-^}K+@9bZ9B@a($tIHFL8iGJIgT#Vy~QIE<ozY3zQgk)yAUY2Y6eFb_9|!O!`Fu5
z+!A*lvLMkfH8W<&!>3)Ciz&o=R&Vp}S(o2tPi2SatX@#|2vbNJw0t;VH!A0-_qsTW
zWJOXN(TchqY|b%L$-_o;KFE*}ieFv^j;<`QR8?1>_U-O2q@|jG*6U{oWb`ee=GL+Z
zGFdqMM7VvyKB)NLAeSTmKZ6|AEw4NI)@kwWR^waQ+)su`xwc&X9s02%^`D{~Dr3fW
zRKc9p?FISKiA_$PZ@`Dg1rItY(8uHT8c)0ak($`4t^(+RZN^3>ab&1J2#78}5#RPW
z@65jGERssu9^XFMVm#$u@YVU{!K+AKvAQ{dSyC$Xsco!Y@HpuCMe(P%FdKJGO}O7o
zN67)6=)}YwQEsLuQc^J=RnNdg27Xd6q@~=fr%KdlaNdAPgOuuGFF-v67KN2;CzEt#
z;;^pOLwiO*eltHxnj06kPXJynKoeIb+vs{wBpLsX1%gfOxwKNk{N#&#DzxbRt_U}J
zkl)cG%Hzjm?Fg4cElom4XdfxQ*V|XUq*&?sY+d$RMdNnQ*$B+*rPZ^$Po@k6#W-2+
zNq>#aWxFT2HG4wUD@m2YoZtP4yzkK5%K?&rcG0mxRL;3J_%+{Re8~IK2dr{vY;crm
zhcZNB9^?9P^wrYCk_6(ksJqs%f3Uq|2!u^<-%kNdH$V2Ta&mIIy1Ias@G^@y<%Yg*
z#c!&>MWN!#_;1(i_R(1*F5g!sjepcxPwgWbU3iiM1V0JeS*y~nUCgz=<6lHk29yS}
zzu9jU*mLC7FAK+d${o{gpZbJvAY9E%MMRL=X=k&NVo1SA#nK6<{|PGt;{azL06&R{
zmSa7+UgryLvOPVWIUCvR&m69}^}q)8`{~f!;JNs`uhWh<Uhu*IDUzRX;y$;?5%b0|
zvYEe_Y8f?8iZ`YV{$bpYw;YQ(ntATtNr=1{J3TcM2+jBlaNum3OAbYCjf_@GP6z+>
zNoHpMElA(AOK<@C2$Ay#=$!k$!Oha3rS?kZ)N!)TV_y!M@iA$WM>GGH`a(iNwzJ(;
z<Iam0kv*NB_~<`|W$#9T*cK?7=^euEAGik0fIjwqg!74qqTzJf5?KZqzBM_T&Tm%6
zYT5V`WyX$K^c0UOx=27y!F!!+;~i3jAShMlLo^M9B{M{Y+`~u+T(4fqF{()w9?R2}
z<5^NglSV71Io1V4pdY^mNEZI-dqnhPTOYO}wJ`QsjOlnFJFiaRsph5^fj~_4%Her|
zas<f_8@~P108uG!`eC-O2^~EvaQN1<5*8*cDihVNs*J?`4~k$JjD`E>)IOiwov@H9
zf&r6m9PXp#b3hd&uR5x<QUXDE|4t6;h*RSOyA~VOiIp}qG%+k@wL$`^foY@1;pEkE
z)fTItb2RDyt?~(pl=iIZAI%kg^<HeKf}?;Xbc>IdT|EH7I4dNRIJl2sEp@E@h(W
zatEOEhGi6KLwuPP(%v@%F!kKZ+B!OHrnfm$LXj)#Ew4GTBzt>B#bL7M)J9fIgX?uO
zCXe7g&fnI0g^>hdRQI%2T17Qr4~Qu#&?w>2syRQkZpupRzU9g_-f)VX{54F&A4y4Q
zxn_1#pG%E2bl5D~*d4*w8A5l!!+4c2{bZ8>w~X*r64^pTqb0!xmluziSHg(I+&j9i
ze?bWQk;Lonyv3E$POQ6*O`O=RcJUbFR`GgYowusj1pwf{$IYt{JPaZS$zHFWo_^%X
z{m%qY;n@|((5oU@DZ=M(yU-6@Q{BCC^(b<FN^qcIHS=#x5GnP4kJ>ljhQ>K}<|B`!
zOy_r4{+vzD=oLI8{5F#+3t1_+BjoE1q$m`PZeDX9YE(?^93PXB?0X%2=Nmc78xM6v
z$H{_6>yEsP5TEW~&H4F2AaG$(kz&s1YdX=0E~thXQc6Z31U!}h>e>UKt1X>|&#&^x
zf-<Xk%?KgTU~O>_I2q9vN`4XW+L2Rnvf5epT5zF`W>VY}lQyw}Z;ax3&=B>Lv%G93
zJmVc}l{4B~I^hz>pS~N@P=g2JNs|GUI#=CH4+#RQC>);Fa7M31{+2l5P#WQX`j(5K
zwDt)pfmY(P1b80H61h;wcbT{+nt^@`<zOjpI~|ScX|=}Q5)=Xik`B>QX8UR!Y}xL|
zTVA%mmX}R<9rcL7$IL$LbeyIyBVLw71)BMiAfYbxrMNs%6T(E^7y?S~{$n>9pm-&(
z$`Lz`j7{{|T7RyOgBK7bR}ct^X5<?vykT!$vn+Z`tPV~mdnb=9#(Tp{@pZ;_pAAhr
zD}n7NS`zXm2LrRrti)=OS`h36Di)N^@)AU!F)Sy4a-6&6DiT!4VXQj+#GE&buggTb
z^qCNp66X`4l7{ijG8Y4^mm|R$NoNZ2n5D>Nd+O0Zty%mr5U4>GRVv(^h&RLCOWnqV
zT!Z{TqJjVBN%-kfkKwntP;Ao4$wNLOQ|S$OkAg9EG&K-P3~a3dwrdj%Z^ChZKkaD>
zg}aa<!Oi=P2huQN+tN~|{`{=os0<bsG{EXg9WZHjMwN4rlo90sY!$8T_V)J3W^u%7
z!=<1EF^Tu*w7J)L54nA=0|A4{=qBLGxFi*c7~Ma+JI(6(HyhrO{Erv}ymi7Sr~^l-
zh!9wB&D}}ole?Q_!#s<y*L$#<cH6sC4+xHLCeQbw4PY+OZ@SCXOyql++j{iQGew)T
zE`-q!hkh;|4aFSy;T!Y!E{#j*Dvtg!i^3geMut>nzr;&eX<++fCP7vVe;f))kEO6~
zh@Wg2DZ3}dDxYyQc=Z9n%3Vpp94n3Zdr>?4^OG}P1fAcoB#X_SYpR#Cy_>DYpFb1=
zEMXZIwz#92q$HO7*rr|fZ^kJnr62&zE8y*htlm=zJrwOPEd$d<<j@~0R5z4JNDP{{
z;?QN93pTm3ZSF-%TpfnWy6=C-}DIPTdeQa8fD?nEm>c1b!lAvh=RKd(vh@#eRb
zu4w7PG#2r3yRyxW6eeC9ytPxR;sdn^$HBN?pi9la0RoOMZ9%nX)!OB_yBgq`<xIx^
zqSz&yW13bRs?fxLaN(dw4>7Xi<MQ`A`Ep8ads?nmq7G#x4R-PzGJZc(EtWRawb5ho
z;>t2&1IAj#`;m|!%t225tF$#v4hkDYie227#kXQ!hRipZ;5ve`v$H<ND#c|21ybPL
z^Na5wFb2rkm4YBSRz;8&)<iG;a(H8@(?`QU1hIl9H7n=-CE4&;wJ>;xi2c**X1Y^X
zEqqeC_jPQ0;)q{mP2HjIA<DlM&2a*XoM{uZK)9gf7U>RPr~qO?YHa2%eV+P=rzx;*
z;4tSN1YN-yd=icIB&&<)*}ejh3Mgw|IbJ|3@W5%Lq*Bi<0EQyqk>k#H1<?n7idOMY
z^YI1(*#POrr~iSomzQYTkc6;^ASe`q*8=f{lK~?wz<rXKk16@r(a{C`->_LpAGou-
zo06J3f19ukvfCgg2GkD;{d;}@>8Gmd1ZG@b9mE}q4cJ5sD10R9w?&|N04x+}(kfrU
z^W9#soDg8(o6faDAnw%*9euBqzCR!k_O$rb5ixO%&2hf;cyr0dYMw01y&`(;p8Vet
zrgOIw;iLBp^3|j!_QJ2nTbTU2Fl>KAdd$^75r9CgF2EYkYGxf3@X0)D{`vw<4+bR6
zfFb45)i8c*0XFoqFe$_Ew3E;rV<-uy$?$E9<-=c>HuWr_o@q4XwXt#YjpLg{4VZS}
zuWU@twu@TivWy^}$>UmC@|CR}c>>&}7Ltb)%U>ckW}JT|?M9FLWj`o<eZYFJ>r49E
zlIB_w3PLag5@4dsQXbX`q$IPwwYg{fQ9y;D+SJ<We&gpRVWq(?St<pn{N&@grk|Hu
z$q)Frt9XZYF2PLOuYIO7T+=w%jiVr)tY|+xsBx3HBCu{ElHOirF(&VezTQi?*z<9_
zIT_qr8^18elVtha+TG}2Tn_{orKIHbqG;E&uV_J&{y(J9QM@uZav_Ukgnn2?>G{a$
zPUp$=eY5a50sHJMX(&A*2UMO(kp?cC7v8F_Fezw+Gz);EUw;-B?rUoSkS2>KjVg6K
zoU4`j1m>q+%wr~Av8dDy<BXB_PoTEpUJrRDEvbJIF1hJFMXeEikKXzfC7Z9j-XpQ^
zIupJA#4SEPEX#pa7sw{~-V}WPMdEsCy2|n&MnSv&IJ|2G$g%U`6O(Ao=TH#Pvh1aJ
z*-0T2#KW~#{m`G`IT*w($JWG>Rgllt2cx>o@bFdA8jcT_kG}q1a{^o@il^Nz9e-*=
zD4E~LO@-Xu>>TS03Idd9Ae6$l-{-%n*5LmdL1iN7CV-x>6Gmp_UNt-8GdQ=LoOyZx
zxBVR*LA=?tKblYW;L`5^DSUF$&3MzcR>z_!tXouL|0PcMk!S(gq!NXGw^rjsnnvDN
zCH9&Mm>jkyNaf1e_0lJ<&rF>%9O(9VcWSR}9hOvj&0SX?2e}`eglbo^8B>id)77R2
zM)7#9Yki>-W(L@Sm<G`yW4uF|dwwuL|GyA!<KHRtM2*fRr?{!Ypj-=kfbEU0KSQ>f
z0vI8_#%9;-Ipgh(33)DfiElrA)66*nrySseQ*wQ$)@*cU-U+>;<AfW7e;|jetoPTo
zwE-p);Txm=oP99}ml<vwL;OQzO#1F0K`bD)5zsm2Y=FP(827yIUsp<OY-~t6Aq%tA
zgnZ01g?u+eN1uZTC&YlaXY`v9!s_QH0w@R;X%>d!A<ouLbEb#SK=jyHMk=iB!eLpk
zX`Ch|_5oog$;w~M#4D}cj|HE{-cy-y#LxhHhInI)dAU}1)k9`IxObP{wg@@1h#yCI
zNA5n!A5Hbnv)W;bw{S!f{bJM5#FvQeQl3&R27Ol)(g>c2sc2xSl9ItGD(IULH_Bo$
z)`N7JdQ$7fvKra_uC7v!M|(kxkt9;)5~ZW&C$|AX4;d@n*h>Sm%((#Mkk?Z?TV@L7
zP)}xg)%?!`QS|C;C7%}U{CULLXi=RDg{0V}CR4TJy^^Z=)Ed)M8)*+1M2EIdJP`5T
z*MBF`FA}y`ltm~4<k)rL?^sx&_@J^51sJTI#ctuu*Nj{j`ZXj@0J?;^mL9y|Uyz}v
zl7a$)`iG(uH&LIv<JJCUZl#a0fhdR5`k0l47MG;#a3;NfUX9TIdnskgc1=%~=m0~`
zC&A=@a|xw+BDKu<!Ck{f<wbIHQ_{vi^}e|T*!2Cxv>GMer~*LHzH&7H!cZ0Z(!V<B
zYDAsyEu2E36vg6C1Jaq`3~f6tB+8L9_+2&%uS!~Nw_ezu#DRSFI=9W~DW9&N$7|cR
zbDF53U`Fy9y%$@vnfkMRfw>S>94!&|iXKes*hHJZqI;V!17GgQ%xb1Rp0MW3H6C?~
zqqMe4tIk#AJeV1@h?i)r`JR@eVM9EBzNRJ6L%z|IIh0+LTEvvWYeVm1>(W^5y}LWO
z)HrF0$Q0A~*^g<cYw_8gt^znIw2>MGW0_Ym!o23sR?MDRkyr1Yq%8J~hFNM<do3)~
z&fl%i%f_qA7KaPAnMf(PS!Y*K)`!kH>CGH{GUtk@FjMVqLy3n&hHb-cr~$4=4@|)v
zBuT{>2uj}tm@-toZEmTL1LOHxID1*Jumd4Dvr`WOWx195a_;whBqRFL@50enZt;zk
zeN^9ZMDtlX<hW>}E^Qv67B>i6J8xL1VUBr5$k8hwXI^AiTZkvtRh?*EG4QZvj1+;N
z0u@7KRVnH|4P<7oc>KyTzUts`H3KYN_R`KHNIaRmJwg&n%Pjk>isKO46{m1<{)`hn
zOeWo``^6!Q0=o~Es)U(SR5q^&A&{oW+Y#3BmyfclPGK8fkx$HGqc7~J?GnaKC!?iB
z&t~izI47w+?aEj+8>nI8%gd9_jfw|14TOISlQ9qUKuNJb|4M{YTRxTVxZgYkz_5YD
z7>8Qq%3m+Qc5T#OUN|j3jA^(mVhH@hkMUi`MXpegJc6bbxEj50d?v}N%Xiw^bNG?x
zzZdcUFGqm}f8hwzim4~fo~5sfolf3ICGdWFaDq4)n7Q-t=1WA%WhPXQXx(dZv~6IN
z&(BYad=5%SX%c;l<BNKX+du}@=ycm0|N9N~>5(Lk^t+lFra&@d-q{mipMa6kqdFzw
z4MQ)GhMAXDJrU>B2(vG%-o0;4;>6ZvoRZolq8yziZdSifR(o=OyE(01z=2i;?x9(W
zs)o~{I3USr4t6+&iR$YtV}_hA`NST9d={qo_J-dcD|08z`U6Lr#k*D6U6*|eDTf|A
z)b=8rpq|alG4xD8cps<Gs@C$l&(AXc1{WaS`M2-};A6C>@jcwO<;ed(FF=n}Ic%d#
zJ_+6l!v4Xb9K&XX@3&GVb^dpWBjV3_hFUK~8WKmB2-m|+K5bB0$@*Jw$WwaOFm4E2
zGw%>Kciwdwa=$SRxM0*ErTkKA#7!z~nz#L+*9>6>`c2RWyJFaP?g(b0NnrRq^-}=P
zKT13P<XnnT0U5tJSnPRqsx&A3n;IuVC<n>-^?Ivf>h8GN#yX;b2U204DqFtr$hK)-
zOr$R(3;KbH-H4Fr{@!{WKh<=Md5?&$QeRay{6diM@K=WYvyHIwU9A$^AR-2NwIHsA
zg;U@w6R*1-N?OkEKxf<`T0&qPEBycrlBvx{Vo5(R()q-W2163~bvHMEf~1iQfqr};
zc(2sx13sG?;Xc8L9&;p*5b#Xkf&4%v?@;mzTFRM6eHG^p3q`S7m|Zl^o3g&YYR@4D
zRwjfdajI1K4BN$K4{RQU!L-Oa&K8nhyY9Wu8Rd>--fjW~k7jUGN`aF3yOxnrFIhcP
zqDU&OuZEI({&ODLw<2zSn;^3P(0#y(Gd|%wG?be=)9(~e+y;9v1nyrAv;aQ0b_vk`
z%3o$~xX!y`PYX7-8u4EK+Bh2YB)(`q*ne<dXP;u90WBQ6+Ia?JG7D<ES7OZ2W|6u{
zv(<F7K^_0q1c{#zYMoSqWP^OR+Bq$1p&zzP*6o}$q=MrTn51~e2y>3mO&2fZAf4_L
zQ5hi_TDBg2PkCD|Bar1dXI*nWR-0vo&SE3j6pnydh({o=2N#Sl7zZ9`9fsu$-w<=J
zZ&0rMddS)NZqj+2yNauEnBB3l;ayJ7*WtgF!XREMR`g*xHvM6t(@o(RK300Kfv4w8
zdEv%Yno<scN;KD*yIO9e*CfZ4{`3RX?I8WdGNSZjRj6>+6o)n^yLA-*yAVFyzag{!
zE;*dywA_TP?79*=lhNty7ngN8Rfxf`icA5m*pS~_;1_=eitO@NpCv$z63xRLO-K}e
z`@#I9nE1lbyXATs$8z&tTB%Q;yuQ+d9JzEkhyjxnBEC^C5<*%@!SD_=t!wY_eNX@4
zgixdUN6LWMZ@W#U*74a6e4K>Qzc-5ebi#_);W?bN^V+oB`8FC(Uj~EOtFaj#QUqva
zq$HgeUaw}HcW__MXg9%Lgyv%^u)!+Omxd_zqG1XFf>vy!-}JG)AZ(D5BWo1`Bl86e
zZ82PQAO*i*iABpr=qdz~4>>S_(SaOsp>Z%g??D<U=ODyjVC|{WAi>F$edUBRe4)_2
zT44vZMPRJQ0{p{_9Q_<InInDkR)u~AX~JBfZn-C{6wPRifI+Qi07we}7>vpJ5X2Kl
z0M_Js{XJGZ2MKvoxoDO6E0esowt1s&&rAHROkcUzg72QsS&HlK3}r|;$Ed(lW_;|t
zt}RwW$xXBib7+Q!jd0@o&Xq$9-tFZaO}LzIiY%Zl0A2xkQdTCTe&;z4!PSyU_<#D_
zyZ_w>QRzt~WrwI_UtZ~(f8`T`=9P2kQzaAoFOHXR`5xI4kHX;vXIqHl$9}DQb##@e
z(Gm@~>bGH69MKASis0sJ?)LorJ+FiFi;Wr|XHKv`V9W$0^@@PC>)*KqBK8_jSl6ca
zHK%j=;<T?gI}xJoqHz^rx&12Ox*M&(Ztov|9}J(6dqJ=HyjVfjri#?m2PGyEx=;<q
z5^%GJh@D$`9SUGe=hK9#Roz!g?GDR191P!^R*GVV$FWb;T*oh>V(~bnNIvtiz;MCw
zZ=7&#??(UWz#CU3qeo4bJFA=RKi@s9_{w4Y&9Zl~Gg)k+g8Yd&Nn9sAM04Rl%X;Im
z{X5JFCs{p?<0E-oyU#(h&h+HbFAE)Uk8)%tK@^9EalLhBt9n<WvO-aRYx`KIOAE!t
z33|Sjt>$5?Gd)gJJ6{54*r>hpnZ4Tjw2PbTUl{b#(gvbc0MDxwmq;jz*CjKWaBk<>
zIq@*C#3s8b9oq|yZW%_b7r9Yr?f!-W9!*9(g6fXyU@nl_hz!QT3#C&Fs3Ru_+e}m(
zAKX1+Uy1J%&kZO>;(K@`J*7owI`5zE+As_Zn_ECsGU<*oejDdeLPF_DK1&)vK-dY&
z%cP%qpj*>b0>V9O^K}wbwH3xyQ{<|QAB<HDuoowhxh?BR)o4q8PBwy1bB}OBSl>rL
z+0`EF?Rp5J(^3n?CB6z`|G<UW=+)?aS$>YIuly){(zPRXf3HqSrSxn_J#|+fakh?e
z2lj6|D2e(ma6KxGYjj1^I%wQp-62^=8}nLFUk)CTE!jaawN;Bu?l4p(3)*mZ=6^S5
zTV4+kHTWB>XPT#{Z=02sM}R6em(Rm#F@5`-Q`(VrJFpf&ek}+8<LQrW#n?tTDzYnr
zv80CA&Ld!Oc;oq}TZ%2U?z16cED%0J2<V_-SgC$)es0cMdK0kU-3I*cqUlY0AAQF7
zG(ajjAx27rRG^KFi`qr;5b1NZKptO;JOYaoB{1Qcmchi5VAu<^oqURk#zbzSVxTf-
zU!DDm+&|b<b3PkjCIF^{`vAfy7FHzbJwvqU*~I%o|6LKH>317nNpr=;ajVzMHxgF&
z81z~^ZzL6TQp{^)YZY@#M{=Q~WLVWDu6W6<txv)@qKkf5-{%PL<KQZQDMo$(Nd^Q0
zL?MSY936NtY=pM1e8iwD9yl%F<Zl<*z%oKjiW`xu5H)_=s4M0*5l;gwV_Ng5v@{8C
zCmX`T^$|aY&`)2XF<VcXb)S%Be<=vd;YGKw*kc#eP#%vr>fbmvcf(DNQ+cN;Wd7E-
zWv*VEdu;4oFF$i+d5m%hL-^~}5C5R8cXD>KkFG5)U?fXK)D&^TJIneBWbqGmnyMa`
zx6z~&MZY63=y=e-%waWy!xNf6x+40Ot@mBM!uUjhvV@4ohUx33{bnD}jn(t(bJ1kR
zqvS6IEcq0fGp}3cBlc^N+Q;o@U2>V*4kp86`JvA)28Zx=tAAcypgtJ-sX#|GQ&CyO
zdz|%Rhn+L`djH<~fXQBjImEp~f8#3^vHj98N{S+pUi27h=9dS3)QUA(+>LB#H@ErF
zhR+)k2+9oP<J*}A|0XJGe0dfiuNq55sDd5$OIGbfx?rYie~8q-bay76VLF`=$L}YR
zHhRoW{ZjDi!sTj#mQ%g9H*h?W5@(s}j3YsB?ih?EBkAX3&J;KQH$){W{x?wG0$S*5
zT~h22#-R;!!^$ah1iq@Wx_icnEnbmA|4VNn)n1UDTp?Fqix+Be7qw?HKh*#U<dH7S
z>~VTE2l%7r=DhX7&%A*eQYEubqH1|nPec+6^D}u4)=k$}&avB{HxrnipLfxH0s?&B
z7FCxAw>_1M1b4Z`LH?1=A{Qc(5FCjnw<fJ3;KqF6wS*3s6ruJAxCQH6P>k@oXXoTp
z3H(=j?mG5wz3=*i<ly0dKimLuDi($ZK8Ja@KU~8BH7%Se{5!W*-OrD_Tc}U4AzsgM
zkF)GE0KlO*UZrEHG$p4CTl%7U16|)X+-H}ohx}h|54e^9?x;u7zy}A-`UG8B+#s&}
zy5uT;+gF1U-+%Fv^Xl47%Or#f8Ej>61WqA8sdu`*D|0nfbkLbfSsbcOE?FvjyP7(Q
z6-|#|msOAZ!(U!D{C!}?YutT@cKe%iLe})p&(t97cdN9Cl=Zf*uQ3pKA?z_az6_o3
zez0(_fAOo#JWku_^8Q(>qaJsBg`vl{nWU`MT~&&ju{pZql8CTdo5=;GK|RhMsir^O
z-xO>tx<nj454vf42D^w9;ni*ut!$QdC)8=x^T2dK^mh0<rS#;DyT|7jf6O7R7p*t*
z>oX+MKm%AeuKpU7gT05;AKZRTJY&GZrO%amYeLGzx1C>JI(TublrP;>H`v!U*U$E%
zEH01Zn;4T`vyS(Pm5Y76<1a<JpC{5?c^<b;x92HR(<F6&t+4eHONR6dV;6@cl3#6q
zrGFs%vS8-sU@+6B{>cFI<xy7U_=DCLF<XDv>NrGy+umu1w_cD*TppZXNeBZ+Bxzng
zT4ut{#Zd+n_@M6tmfJT=KCgOLQ#_|O<(CSFHmE?;)-UHn3(;W}q6EHI1o+tF(6tk1
zvBq(^tK9%MzM_)iUX2`C8v8s7%=eOl%tu$J?SrLsNNo6-A@PA#Qb}Pw$4NY?gy-bz
z=0Y+_^F~QQtFLeGBLoTk{AjErmx+bz8;Xl<EEq~-@_gRz+IFCw(}u=9<tZQq7CA*{
zI5nrs?+#fYgeO)A*NVkkdO4XD8jswn=Z3nmGQU8AvO6J8kIWP*m*Gk$-#eHLaTl>b
z_U5~oH4pvV`%wHv96R_Q%a!S;yu(yj!d*c^Le5ps9?9Q=joymKB0)i4-u<>}`aZZ0
zNWVb(EzrZbr>3D$6h@uD_6rXBGCnPewe)J)&d$h_V(FO`AgvXj4B4tn6z0#=*yfnO
zN_;Qw<-s>La*N5aoo+2$rxO<g)ULZzkS~yCqnyz7gn|8+tuGNonyYkmXG4Qo0_*RI
zNAg=MfE;$XF^qE#psLLTnq+CZx>e-*<9!<*3<-xu-5B_s&X=eclyjsw!g_aici&2M
zD@Ss{1r}C!=X0$s>pTobd<t${#^*z=j7QYTUJ!_g-WGTUv@YtG42EZf_^BbCZ<%wj
zA!>m@=qW(6;VvP6GPt#nO0q~A!&NV?-*9f0ZTX1NEF2S|ls4o!b9g#;dP8^Ch<30Z
z=TE78yn*DE?4fwu`P;LE-O}O<VfW}!c64Z0VkpqnakE)+Al|A3z`RQ6+_yI-ItsW=
zYZi9!al_o7=9G^S6;@-md#Rqtap=Fc6n#Un{~~J_6Il`>3GIXwooLr+-Rz!kF{Yu`
zjW@YA(5H+zR|~g$AH6?_Y?pAewMKCW@2A|~FyJkLcPI3{QXor!YLsen^p^i6dS(9F
z>uO+byYIxINw71uN$Ww!>o;ISlIoiqy&1$7q5sCvlfIyN0ok(_B(JRMFMFN!^Pa8}
zI#HTDdX|?bUsyMSoaZfUixQ$AMBJ$Up_6mnqk1+nt*ajg3*DVN-)g9w?oqRuE_x&h
zIa*@ja44`WAu}R;Ap|EqWF!gBbqVw%TpZ;#sh?5hVsY5<VXlh{3OWn?{S>eM*}Tmc
zS>p%0`*!c1lQ`i#!@(|z4<?EDvNTAKdT+VSqDF|dJ<Z;6yKdmiI~LP-Wby<3OWV`D
z<SF<wrnadffrEe=`a;VKfw1-_?^Zcvx6Y1pw@*=iaCI{m|96>m2c1_^_4To(ya>|-
zUe&+_{>Grlvn@MXz87T3+Dij&??0h@JreBWzRjpdQW@VrzNaUYUi+-1`xI-zUy?`1
z?8BeI!j~j1mATt>GrI%~;vVjLB8)4+=`w9>8<zY2JTM%w$D}RW&>VlumY@LrM$t9Y
zLOt*tTfWI{MxWwBztA4&Q%UJhoMitJBWxe&`KCDR*|U^<eETp`_`^Y1--=K3!oNa3
z-1zhV)pN~^_w{XK<n8U|vdk!5Fjk-w2Z_Nb6Yalysi~>NDi?lsS`clsuQJ$x?cH)e
z)iYuYe~tNtxCBO(`u^*bL#cR1c?gbtG{CFm=({~R0m6g3B<gMsB^m_c?y~!C<YuL~
z%Em0@S-*k~Yc`*P{K;}O`g*pV%l<rTDU7iR?swm>DsDtGet4UvTp>jvgHjmZVmsHx
z@a&6W=c|A_)aaMryDMYlr)HGSGxvJ>*77T5mrxk<Y?pl(`skQsXwY@*8J?^`npom^
zRpUu|GIzYWw*BXJy+71%HB37$4n3-J;VlzFvbuFF<OUptCrVel+K9v%<~ye!*d$f=
zS~bl%&$1N4K&!3hrVlB%(H{*z?0ocwPiuMZ?^?j)MRb+P***?lXi*RK-`+SmC?TIe
zp`rBH$kgNsh8d!IF%`?}by_8aB)C7wWWwCPhRl017(E-&atv%Nn!Nfb7HSgaQ2l%L
zI@7aAN~obJf4!nE9~H~dxB8JLQtsQhPt_l3I~fyB@aK6?8MRQy;JN?D(|d-q{r>O&
zF^Zx@YlLdeqNrJWtF0)ly?5=sXYJZG+X`yep0Q)^5u4UlG>Dibw*Tw>Kfa$|?&N-Q
z9oKVQ=XpL%z!63ZlJU%M=m&tb`S~P^4GFc9Gta7~!6}aS^NaGaq|=l9dUJRLi#T%(
z0>c7ikfT&>iI@*^=jEpse3g%195~8n%MIXabQnO5=cTUQq^QeZy{z*6Jvu9)7z2)!
zb--k4*v>aMt?k%+GvXRw^?t4E?XJB_)0d8cosF#ba-#P~<v&UqR!Y9gSgPcCM@$X<
zz4!Gu=I2V4gAICYk<5%cF~cE1yn3j2u~pBV$P=RQ((v!93rP~efI*m;>J#J6>>`Fb
zSuymDiWu@UD83*m$>sbsg;$b4aQh<AMts+#jBnscUQ`}AEv#g-jD}F|g!dx$cqANl
z{`W5)X!%ebp{np$0_X5Ett+~PiJ8#>UA(gScTV!#TW8=^+RkkPg7R(y>;zuMIMTx%
z@R1;oTf??vA)17N5GYF*@C_XCSFJ0+WPHE6CVsKiDaB!nNPAA;3)0jjjFh_3Z~<ft
zSY3cB7-)V{Lwt3rp$G}E>u0+AP7RsK4Z}@c4V(V0T&D*qCGIljaexsf0CUjqcH`n0
zHV4F>q0igsmhZOcOesBF*cnM>&C__Pd)q?1Tx@Mis!)Sc07)$*Adjf?;RavVNY_cL
z0xlO8Sv{v^e9I%JFuBITFND5}kIH(m|D0!^k7~Gpun52mF_FX<^XPats4=+^YfJ3K
zUBPn|Nzt*r5tVMN&uPM9qo$okw_CP`*>7`lw={xz{V=SShK5%3%rlWMDPe@Zv~@xq
z3y0@8Ry)s%zByuKxm*PnDudZ@cqL30BGXmCWY~?^Uzk%KEDJLtBhAW<_~q(wQ+T6r
z%_@<^$>!Q~x>S)>L6Fa_p7r(C`oDUkE5onRrwir3wQEgww$-NgBKXY0D+@;+`NdjJ
zJ;jqAf-vGR>Q%>;mF@Xc;O+({hP^IVYiTrFZl-H^f)L4%uFmD|2yU!UDR)RBFlRoH
zvVS5|O%?e?No$u@c(5)JQgrNYouT@qpA82uG%+-W8W|BWje|1{%S`bS8xe8OP>|)4
zRVOGq<+aR9nV*?6xc}>$?qJ)lYT(XI)P6cxzvr%*y^;pHIAIS#{eaCpn$i2<C7C_9
zp|otI8}*Z~L(s$xYE)@TiyVcSgDT|?_WR-@S@MsCRhm+UD{|7$FZ&lC_odtlqeSyx
zF3{?m8>v1_?7|Y5dIFDyD37-YW($9PHLj?uYMaNjHT`Sx+GoH{;ZI5B!5Y#7FBHUU
zJ5NTxKl*cYySBW8>-1FRiL`DEnm&d@vig-;oFTlK9kxlv=M8(!t@@PjVwi{J2XgzW
zXMUlPrH69!JDXV`he}SnsNYOLr9iT6*W(IV&zz6h6=b}l?<c;=wX|%;=1a>l^i54^
zYLef3x@&pZU_mtHLI<luT8+F#vrUbjU#~AkPx#@2E_xL(|DAT*$^TvGE5J@2*sP05
z!SBcCMM1!ejtT7`Ffc<sD$fAJ6>!=+#OFlsZ?7-hZBlCkkB{x9HQx5ee!DMreI{bX
zgb@CBed|)`b+5bspXF=Kk1pqCZ~JiJv|vf46i{~16NJ&n<SXHRCE@MFIwTMQh1Q!4
z{Gzk9_walg>X8^TKg+6N%MNgM<`Cxo=N5Jnjw>U{-MjVjwX-pk&j#>aybV`s^!7Hn
zZA0H}pWoDlGAoIRPY#HEH`=Q1{Ek4vrdCA_-kwdJJ^*>*YnDHKYf{ZpoiQ_d^2hg?
zoZ~gm)BR$&36JEM`j<ucJ0+dJ3cAkCOk_Xw>?n?SC{>P446(3@^z{wPCFngxH!SQR
zpFB)lx5AV)WRG+x^;GN2`Ana_yqtHYRXX1DM0eXgGtJo=oS+=!&Wy$^uFhB(*rDH|
z@x+GD)x}%bP}6psSki=6#G7(D>0hu>izd)2)QFeAx$*B|JL(Fxd2KPV;c}|-q+ky;
zaU_E-7LFY9MmKjN?C@-G(-*@-0i8?N;O|fFQ91yFl9|??_GdXAnFz7u>+2V($dwW|
zm{wPwNfNYtsHoW2i{(kn(#BFm-_EIY@~U)pytGe>hW~u^fc&4oj(egqXZ(w(qiyBY
zMC;C{EN;PW?>iH+iBKlct(h#*YDdbL_L@=H28f`>Xvr8fa5Q&JLxvx|Zjl#qd*-Mu
zruh0}DJs3AkdUC!z}^~qE~yO_X&5m1s=}(AReSqx+W|9WmCaVWKq5P!y7_nUxmx*(
z$>eT~n7Qw^XODc$&Sz2CRf;JG!{9oT5YPIXzXu<Qju%!Ax_(YK%PxhE4SR6`?^s<k
zS@7ny;_A_}>hj_Aa^f%2@yaH@uJZQW3)TDXH*Qe)WjMv^fhM-wV@pJaTSb&Z_+^mT
zpQ_maOM|=P!s0Z7W5NTu>_Qp$^u_q$^CGv<PagNTbE6mx>FU$Nd*trJKtm?t?T4T{
zR~-wW7r&u?jnx6P<TME`gOH`QH9C^$f~lWnWom{OI_2rbyEac;M6-iWPD}b{Z_EM5
z6XOuKnm5~Ez%#>%@U-2Y0DRfJ_;obqpwF!xFjGI92S{oQhZy{D8T|~v1LFuY$W}*Y
zIo<U3zPWyKy)ltn26?+{9V0$i*t^M0DSNZQ6kb*a<!S5PPtDbcKekgXOBPeqEH+qi
zJv3R+=VpEq`^a0XU<G;a%9~BTVopBL^HH>8Y(cfs!J*Pn-N9I&>#Ii&uje8KM}h3>
zL3A97&vZ}teJ}jq9R^?9d=&OgLj^%bmhu*czwtY+NWkQQ_*-1d^=Ax>j0B&g<9V5}
zjTg&!vNJ^6v(>rcTI)`HBCq%|FmzsjzM>ZORkKZ8U4`PFxVe3xY!M0kn&xnO^*diE
z@ovVjDWWUTX_zb%GQb!cDKKk4Iw4i=fF8mD6_y_5h_1NWa?_CXGWx{a?YX~-0A>P>
z;Gnae?A5u#*4DC-=|_0x5VryeClyixn|gn~ml(`U<%+NW`)!mztY-BM<iuNJHQ?6+
z5W;U>Yt(DJdHH!cz1#o@D|Xo)o!*x@h)PYpSw&aO;Js-u+H3b-eL||onjR9+X(&R+
zA1qjz3#IA{<oGf_<(Zf80(H}0f$$esmg68BNCr~aVhdtk2(zn<VnOJ!zOY6OfvHsA
zXHc?z9dpnC;Sx^<xaZ6-QXq;-2}GDcjApo7;vj>Ql%L*K?f0u}+QfNIWJc08S*(jQ
zC@+fHeHmKaBGTjq1aBY1@Z;s$D)rbs%tRwdXa3HD_kJn3v#1DvXK>F-b7J0FwMJ8Q
z)wy)UpL9+sg2c|op&LA@`$2LpEmlVQ-|Q=|U9Ijo9lxTuHS&c;7w?gcn92j#G@F^*
zr}uu_jByc+q&ctlm?p4eI_>N>KwKhgFY4wE9G<AYe{i6|7&tl^uz6by0uJ)cH-Y~<
z&mn4%sH~ZjkTO8=|1)!Knmdlb5eo>6U86H_2oWNB4zUDsw8Wpgc=vRMv&9N-)^((7
z?RAIaqrC$}v;7Z8>uzoq<__S&0?|@eoG3>@t<~OfYnX@FH&gA*YTe$IK7G1~_O@sE
zc{KxS6LGe5#wAX>*+MW5k4?BOZG{)Y&w)1ctx|D_F2NY}_wnTuP6EqMl0OMICEl{8
zdq}>OTYRJ#U;+QhTAkT@JKtSURi8G&!2)^gOZuDMh#N*M-!bdwT-I|IW$s#8uoCaF
z?-ND`7ZR1wpD2OVlPlaDgnNfT67cdo(r(Ut1%!Gle{!K+S$|2!i}u#AzqJJ`d^X}f
z14h+U;PGX;(f<^`7d7hcA^Inwsns+{gd0FZBBr`4=d;_seSqK^u}86GKWgdf&qw%g
z*xQAD$S7L*oiH3e-@#cS@En}>M|&HLMFwI}wl)^CTy}RhM4Q0`{mc!&?Ijtaz4de&
zQy)^&lWETfXxQoUB{J|Ht{)dTS5rZeUdGqV<ZhhmT;-did<n$D?Xc7_m203P8xoRZ
zgWiliZsFogUKkL0kmTGHGZe7+dILiyf{g2NHeeP8d^tsoB$xI@MP`2H9OyU0X<O-M
zTf_dKu&=f4HEvxv!vypT>R8Uh^ge>1ig?|4Qdz-ABTTx>Y3Vq0`M(JBzYrguLXwj~
zw3InO8rw!CeNIYCW9x-ewMf{w6y(p?Vv)z2mm;UiW{RJeU7}+x^Do2~qC&;jqV|7e
zn=GDu(-+pDpdsDw`M_Id^vm=ju2a?f*`-Hg8f`p2hyd3i+9KhMx>9_Ki`27|yv2&5
z(<n{Ipy{(Pa*ccdrz@=1G&>jG8FJM9am^^#C}Ka0I0<BoHq0mlxMhcJD?|S^94r63
zd=Ed)oQ*6=*%6V}wA@_+yuQQxg*8vn?0mKuB?2<}DWAlHdj;qzpeO~lBXyjxc|bgO
zKANd|;CX!Q#b{wmJCt0utX;GjhBXz(I+K~JMoI_U{E!hz5w-%YWUbaUY+CeLdj`s{
z|B$J}rVi5V!>VO}?MG;-Nks{QFj}(VS`t)Ny~An~t*TZ(MdmK2wP<6JTCP&}`8>x=
zXMkh*qwq=F%$Z};b4+zFwMIipeWuH5;<9K!J@3Y<%8I%gUSyvY+**mgB%OJ!T;%f{
z6k!E-Ugr!ti5vD6`Yq!4;FBJ=fbHbdXxX~mLihQA!}1<7O<OQLxC5%LBKHfv5?i-E
zw=mkR^O`0Sjc|qYtxi>n>30a8+QCe|ZRcmCG%d0d_=Z5vuck2fDjmL}O^GRTz8a%N
zCftu0vBTCmV<RwD37x{DtW+<sSxN&h=FLQ!kR_;oK%RD&(8Nq;pwWa$g*75sFSi@&
z7E8YDSZOJ*t|nl7QVaAice@_G8vLIYpnvbC*c}%x=jhd2Df2Te(9htx>1_7f!dl;U
zs*FX4lNK-YF0k8s?3xu)m$QQHk+BRxZsWx-!z#;T0&7tH<S`NK2&LNFY&ilWq&I)j
zq^K4#{uj?x2V|wk{B<z6Fj5+KnCFcMy+F#RbugnwvV%tHR`u_z0(a3FSYr+oUzLVu
z?fd>i<`s!t1!(6pW<0hnNAS<IQ-?|p<O@ZfBQ<|pf_Tk?1Tcf`hi<+V(dSdQsmiXf
z*_pbW4_AvB;lj<9scuqQL&3%-cK^C6SaLJFa77%rYre+ur8#z`-x?1pGJJi3S>|e#
z8{xnLtsl)Lyox*<dG*gI<Aii@)J_f*v-vCFUML(M@*PS}`x+ZR=GDV6OcN<73CUf7
z3liAiT`;MIx&SSM!lu|FK<CEJzRMs^A_mqQF7=fdDM!BhLlUx0;l$0aF%V0Q;N$!e
z_{*VyKiIvL9zR-_Hl}8Z$gv4P3^9HklMA+yANK#&?I$oIYQz%jP3UpMqR)9+uMzYy
zRz9@4FsVxRQr}uW_CNYkoE|eH%#2uF2iX;!6al28-|qH$9gIal(ou-%El>E@45=Ga
zjKS^B)oUp!0}{;il+65^gK_pY48VRv4vG<)9kX)5&Ci<JHV#%2Sq-YQW0^O9VQ>lN
zeUZC6mnSo%)r+sJ*{S*&hd-n*=_snPZu{pUg}lCHmDOC1#QSU>2VY&lr>gHz`o;zf
zejT%yvJU9f!UK{p9roygk1)O&)ZSiQg^G`dc9rgTkMo^MXXB>U6=_4ERpqN*;6yJ7
z34j{;9)M!N{b2-Qp_xV5(7)yB0yJUoXqUs(h1#LMT-&SaY1Vx2a+tEATe|gox~9vx
z@l9`dXSR9&++OQ9J%v(U#igdd`O4{l+VLMZ(J1#JT{Oh`t^SR?*=Q->a~g-SSa#nt
zyk0&?viviIzQJ-g6dKLBfp^P^VP7vW_YHc_ALYgzf2`TJ*1UG$J$qRw-dPIBb7d@`
zxz%UQPdnUxxl6;&!Ys8u(=~~4=Rr=*s0y^Mv!>^_4C8%Ta3gBpweYK!NPMYXWmJfN
z7)AAgR?B^e2j@7^o<W*M#gfM?;$37|No+ODBL{4jx{3vti+Q0K3RN4b+x!ME-J9V6
zZN#6#P8G{<n7M;xZ|~@Tr5rDK=Skzm`@FxyhT}SS=W05CRZEA?4d6f&JG`SfT{Xgv
zNJ;vbKo3d3KefEuA;AU>{Hio;;^O9(GTYAz_KNvhybEBNgh~#c0_Sm}_~8+7u}*yq
zRLn|oPd{<DzyDVtqxzqPG~~eg)&mGC=N%AfnwPxXjvMa>mJFNFfV=$&qPL4>BQIm!
zu4~RtPQPIyV$3;Diqx0bm1Yqu=dPU(Vh~r|!K#GbK`Dy0!po}a)CQYg+dX;!6s%25
znbw^$F2Ln1X6NM0-n}j(1*^L_e^tzsN=MgQ@TJdz)#}U?vflJIb7qh(9`oGOR(I~W
z-p_~paK#zDj41r0AU5#sf%wyixR$%?d-u1A18uwK&iUBR&u*peF`CAUt2`<eWF=bc
zk|O#OF6@Ul+je)`ib9o*v5y%js$)-fS!c>T@iD;lz9)G(M*$*B_Q)~3pG$oSM(-E7
zaaM7SWKP)1#?EOiq~m}NcYx|pQP7jjRM)@}VTDe#FVfPjs;ZbWA^7{O|MT*ST8dKp
zjXgr-4IZjU#1GvPx&rt7_)|8drD8KaI(A`E;@1B+sW!8p_Af6x)FRzSpT@FWV~R-c
zn91SU)_-z^5`k{5BL_Z>(cM#aZhppCU5rhmBMDb~^E&Md591bd$Ky0<=)0%nMGR55
zn!r3Yp>bkfya+<SH9(&(Ki1^XRvtsDp6-A2s-JD!WFu@L_iavZX815h270XbWA@l5
zd|z4~>uAR7_BXq!-cz?6@I>61IR`UdIDJg0;lEE-16n&5jq#QY2C`{&2>O>WL!`4P
zw*`eF!$3-ZytWGQlV${LZNCR65{j17d`$3RM)a%qX!w&l#kg`FrS>F<+1SOh7;?9M
z_atbJj&;hT?Hzr9k#NL|uj8&VpB$CBSa@d|>qyAnSPdxytXu}*fjq<k{I;qO*TJIm
zS@y+vqW`)$7-9*WPAoGZUWlO9kCswibEd5d=uC_LU$OtWgzmWQzSX!}dY>9#cwaB+
zJuK}WnWcOfQo0>f07NwyRL<E8&?K~DvYfrMlqMjQ90C94>>KC~m+h*lY=X64yqe$p
zX<?mFf3+%x!}80%Dy~Plzib(y`}YRbpLBQdgFgnR|J-M@tU-(K<?lOn$A+d=7rKU6
zqv~Q<RW{*+A4H6a#MxL}V2~F&^oO2<rMRW*jpNjs3Z!>VR)cl>Oh5R3<u2R@-%Zs3
zO-Xb*Rb8E!G~enSUppFiQedhc{I6T5gs%PUwi{KQX~&stX$xL8+EO%qwRro3eWhNb
zcy3X6b12$e7H-~rIf^;33a|XiB&sUI26^MqPQF7N$;<67*20<WR+%mEoD7^yBo}&`
zDvrXH%b1`apFMESchIdkyBW|aN_g_k+C7B(z$?7fTc#@;r!pJ!I#<WAZR(?#Xxo%6
z@(eH#DxH)y%#@cgiSRTGP{EATbzC!;?X|!58w7w38I-N$g0oR<R&0|@ppDT@0W7xe
z>13wx-Q^E+SL0%p0R?QDoJ0>;FHRhd4U@v;u|gWMsyH}gt8j@Zm{hH|ZHR(`^>d82
ztkH*bjU+y)-8|U&qta5wRqCE<@epZ^GIlqqbu`ZN+)S^^muF!FEs9QdIawqAls!YE
zif-q2BDTb9Z$*R1X7Q-$g*emgjen!ku}}}(Uz(@ayQR>&T3USq)o!JG<w*1RvyL-%
ze@V~0Yr)PWFxiPE!XarvmeRXut2eUv7|+S2@xJ^lm8Rc!DNs)2A{c;r6KkV~4FcWX
z>4x!YfVv*ygCsp8UU#iO-aE-%<BMmTJA>;0IQHPXV}8)ZUATlCEioRj?Y$qEO8T$$
zq|5t%H|2jY=ia6emE5}<eUbXLu}`E+Ml3fgxsuC($5yraxCvqjxF=Vf?>G7ZW@c*@
zmh=No)15n=n}MWgRLgw2HNg<?Fgag^!~JD7qOJF1dv3~cYJqjh+Vlf?&DRHWMn60d
z_GN?tK{}1sSjY;&syUMRQ&DGS+gpDVF%+DMkuj8qQic=Kds)cL$f9Qq0lkaWM`su8
z7T%onmc!e=&D_}=gd7i_%@sb5b?X+C8Jj&Aov=B)^=uDFR-cFqbXtUi$XHAKIw~*+
zu+biJhXi6czOfkf5p!zaq{s>4aMix^vS7o%v~ANDNiPuu_s+0KV|@X6ZWl@$r(z-q
zWb4N3gq|)K1ZZs0rnjuD#!_3lNFIo3gyq3jbq;_at;)AfXqJ*ezj@7==I^LhZxXZG
z`6i!y(I#Yi{h}DMe1svCl>n!Tc_Fa^(^4zf1))sW9>GgF{UE$4BCX#d04b0F5g;nO
zYyZ@ew=`OBH!7G9{dTm@F(uESe;1hi5^>x*9qHz!jDFW3Lu^T{bWlP1VwCS;j9edi
z6`|!~A&jn1rg&?yjpKdgx1djcME%CadRpgUqS+-djG{b@p5sA1f^K`8J~@c;ANFP9
ze%AL_@nTc*GF(`01!|<TO3KtHp&p2z74+OjKYuYqE=<plkqt#`3X<}%kfev$g$M{C
zOLy_6pK4^a5~C$}?3ES3mBVSPej3jx@0>i7e-J;pddDgAM#d)Ai*(j_Z|uix4k#4p
z;S?@IF{D=ZOF*s>Q`W8+`2}hp;t)Lqc@rAL_9}J|jkv71*stI-0d<93?~7;L;miI1
z&Nivj+a+M<wDu7@@W1z9nzfbUT=6^d&pTOe$4P6QRJh%DcfpXTkl)+4D8Ycw@$ene
zX>Li;P3(c_N_aq^n=zl2n9tH_R{qGieHGoUD|oPnrn93~liVlzrEQ>#OZCid;N>tG
zR+hR>>&f<r$#aST%#3hq#5yfldR7bcg99aj`vn>Hu>Vhn(KyP&I>HLd^dvqe{@9!|
zcA37*OpGE7hY5KzXZ?`4@@z{+B`PM~T>tCu3g;4K?UvEh!0R7Hs%<$aHBEj$i+Bc{
zm(*mlMV7P<=<<=dMgIN+_zHmajFqiww2*5S<*s0IkO1|S)@0B(DFn!w5zL2s^g%#B
zV0{lPiCwq|3*fATvR_zal@xGILj*!jP{RQs_57=9DIfR}WqE9aINpEyb6XWQGEQkD
zO!%p5HW)65_~OwgGEf`yrV95-7br9adMXW8qQ|EPQ@i8M`^(XXl{Lun*}~6~aV=VA
zg@p3|-NkJhx&C?@;nVa7dgE8Bq3dOR>zxm_6I{3)ah0S0^<1%X+IXy7dt>C=Q?EDb
zX>auj2|*VzI1OCNomO$SJjlk#_KT5K;<~`0nL!y;VVTKQUB$E6j}i|k4{I`JZhF$_
zGC5Fix7pqw^vzaL*1IIBsVYo8Y-$;*PhaUV76=RGnQ763mI<9mGEJ{1GK2fU&mc%;
z_X7$4ACZE!RC!iTpI)smzA?lzX7T=Wfg5}8sL|zSML=LWy?^f+{W6m}lD|-ZAKT58
z+2=!}6MyQ*rAzcIZtCpL(Wk`1?L2}hJ-i6Snu`yjr2p99*BVJ)c+Ve|&FT*E+bO26
z<2C>io!f0x5SUn=tOIQ#Fu~-8#sGWHB{TwginyQpP5aITW)RY_aC@&2(+q>n9b&k-
zxvy_K=D&Mz6}_DSLXd%wt+{_*^vy}l=8Xm|7BbM%ZehoyzNNzz;Pp$ND>LTecQiNt
z5;X`5+j0oveWh%?5RUd0sWb`VC4EBOhfP*_+}glrWzJdFBaCXX8ggyV<%`nZ{=mGM
zVFgXVr11Pz2sr!<g5*yj0$k@+`y;JDHJ3k2Z*9t<M9g6pPJ-`uBCWDs*rCOxm3s7Y
zk$BWuY7UjRA6bv(4BJY155hZFUV3CT&Ye5A8|-D3+w+Gec;MnP%0_gvk-Vu&80GT{
zZfF%B?!4L>fE-G=0+9xum~oSNonE&T8}`^fPXq31FJpa%U((lJ=GQ?2l@gX8*|S(4
zi&V`k5ZWYECrl769pbOPXHB=)uVz=p&2mZLon7R>`trEEMIR|h0C|H;+Sf(HEvyrz
zuSl|ft|RVTu6M#oQLlfzWs$CMGDUwLxe$qu4SuUKKt}1XDL$V0*U<ouQScF2NUaMN
z)Snx8*c~O*Z6dU~nu>_lxH-dl3z^2vcyGkb)47&!oNN35j||t6P(Pmdq3&wX2Tr0*
zXo=waFY9I-`4yGN+8k3Y+^^KqHJAzd<PXmCdHz8_M7SO&ee$`3u*NPdX`aetfAhfZ
za{1>vI$|1Zg$%5rPEE2{zbIr9{bl?^&37d>?T2O?HC|6Tt&JzBStx^uL0E@J&f}xv
zoP~;JAW%F6490}OU=t!hnK(?~6^c94I+bcQrQK-wPXzNh|L1@8bd$U2|H|skM2Z$r
zRy+T(cQC!&2GnZ62Z)gJ6jdorx<3|qBlBH3LY>qqLNg0~yNaIrNFHSliP9wRcQYc7
zgw2aY$E-LDDW}B6#aW!SipA_QK;cH%Aa_O$O~&&BSg#Va(_k*$l2|MpSd@#6h2328
z4O=azpq(e5DaeHqXt|Z@83!N<$e=hj5|$7J#&}$jb!_XdKN;jHtgrlT0(rC3mYNI<
z@rSpVS;Jc0*~vj&A`Y0I!WSh%XJ=|>>*gghkG0LK5V6fKX5JFwt@fIcS7x%rN2J-D
z%9GWuXo_7weDVwRfZgmgYj6K-#P4w!Ll|$cdj@I|e!DrfNk@|U0g$~(-E4d58%W1k
zx_N1%pBJvar}bboc%`P@vca==7Uu5sslZDqah{|8JL=jndwPmHcRa!jT7Y?%;a$sv
zq4U1}baCM?lIzf2yF}Cj5>`b1tXg4vugQol{R!-50}T-YvaJo*I6V~~K7^ELJ#74L
zXWG1M_=1`-e&G04VoXc3YTvy`N<8~j!ZEJadL0kd>7MaN((^E`2LuovN@W(|toOn8
zRA_dRXMb_A8O-xpzbS}T=|Fk#$cV^zC`D^0&n=2<m&HH6$TOqzJKHPkm?3K9hvhy<
zm4}r%sx{1zkdQczKEoY$V}m%UEZlm!q|N&On`*6sY83tKHomYR#|!r^pV@RsirK(X
zuSJeAFe$A2$b&7LXAunOcUf3UktWhyV}eipZ2Mb|dT_`*Xh8>!bdDycxw#szr1f<M
zAR3NP=K5HQb4>W3hBrt6^CjizvjEh~5cU6CzyL4wJv{9mNQ8~y$uPI6GneGuv6I|?
zd5+>W0H~%?XH=vFrqD-E0Cp41V)*lC8H4u{<Q1){t;a~nm>5&p=zr@N?A?IfmmTid
z{M4r@C2rFTJdB{HagH?S9J~g2viQ6U+0L%sT9b$0zfhyKhh`f0JhfAXg+hesr3e@$
z7u9TZt>+(AAx>77exntQPh5jjn0k3A8Q1ODNaz|i6I=b^^HC92*)ku<byUtr@BJGe
z?ukWLMj!qoJ+!e?W$$;cV(0qhN{(K0hApZrR4tLRuwKr|4@3Cm2EK@6h59rAPv`By
zo^7zNC~m2&6{B=F#*`1vIRZvT<ODS#UsZ;S7m7SQ@6D0NOYqbMR9wB5LlUuQ_K&4U
zy)mpJ_p9dKsZXg-%Dl1ukRE#1DfyzPZ9$WW**l#Efy5L&`^}Rcm=>8lp~wPi&)wwZ
zu&QfGy}j|0Ooe~m7V$)4+yX1=vQD8#y3U#Ph(uxYXw~`Z<YSP#2|<_Ic=Og<!r6KF
z_lniWE0}=-+!sGk54uOFEq4~HNECyF9*#tIrbk$&RfIKe5ub1oLFp^LZt118Aq2?m
zh+@D5cm$fEwy3=tsy>ETT7M_&%1*u6xwyOTj-;{h2n`P1FS;hA!k!1DvRM5U@kE>U
z&Mu`NX``1U9&m|ISG>^6%CF_gOV%Pltt9(Y-S+s1v(D~3!&t9JAe9jT=+%{j6+mV|
zO~YCQ0BdXYZZ>tRb>=l*@#CUkEjdUy+mW21-JVLtz1cn#5QiX*{;P}wrgHyRAU_5I
z7U<`afk1|B06d2`%Hz4bX35Ou47EWPY0&A?IGr?JYPIpQa#)57EXY_tD*5b<Wzeja
zOGwQF5W%k%_3TqSp+6}^pW32J`L|v_9JUd%?tCI1xNJCf=5PH8M9o8DXSmX_Kp94j
zZamj=g4X|V5L!;GJTPfDF@0W5`n-WIxVkfdm4k?bBF>OKMs8N8-p|;9m7ITI!d8Iq
zBPRSXq~>hz(n6qmB1v~8*!A8`LuL85M#T$8dJS|H-#~zd8zYtO+_-!m_H#LL)9-3?
zp@hx69qdlvqx^<Y9$H2AEvO~rp>Z4i`sGMk%Ol1E+KSA-XQSF7<Ok0Rqniv6Wc1ho
zNr7{r7`UAZe1CbX@Hqv2F)U)}oJNkEFYbk0nxz%<smuL<kjar9T7e%JDGQo@qc{6%
zSyZWV@w2>9uV#&CM!MY}kR8ut<u@We!BzvlR(Wc+yrzJgOgaza`xtC427AGc<`vur
zK<@|a9`)2#eWoN@dG_G2>yGR#?1#kEGwBqYK#qrxht<$h0be@(#1cLejgOAZ&o?re
zKWsRSHy?sv)Bh3HL3iv&)KSIqb9ya^oe(59eABC|pV4H^fNz=5<o+1-ob%V*3!Q^E
z(s+fTiX>?xX#%&6jZX@^T3+8_uY0rJl!pVdvpUZAD&xpg8Ho$4<K+me7DZA!uIAn*
zF&~$;j_l%>Ajhay{(;2AL_oJ(y|9gft%@_%&0}{Rt1KY+`_#W0rFVw(jwK7`UeE;`
z0?Uhm&L96*3SZyJ$6S=4QTNe;mU~vX@x6PC&!lp>saopaQQdWuwpP0BMAi(Deeyaw
z$#rgzWTw!nTYZ=A5E5i^-qe%bd%hbdd-nUl`(&nbMNG<gqF4aS#z|x~HuVF^^~Ua~
z_4k()CwFWWD)nCFk;HW-HPAVfzQivzJh6wC1W>hVRoTE>{~(X|hN#a&22#1Z&bmdn
zF_C{X89~8f&inplSmv)|>l!VHZR%S&9Xa013}v3SvZJ@<MQ9aO+{Rqt)9atyh-IHg
zVN>g&D~_QB<eWf<xFtcRsi|ibL!A0ytZIZxgR0u30?%;6l^kX;Ei$s;414XS>TNJ>
z&`B}M^Jk_-Qi`Lxs_b_~tnBfE)Dles6Uq+QeXG`wJ$mE#!d;vYr+={&h*PB;xLUr{
z6q9?{`?^{D6^pJl`H|jndtH6H&nnZC>wwS6`;J;Vi~NYz+N<B;8^7!P{ToL@-#nnW
zT)eWj&Q;H_kYBR<H~(>g|9ehzfjGCv>s24d{s#vMVee|k2v9K${@94G-iiFoVJplZ
zpl5|YBXu9AhQh;cX47@mHSCE7Fkjm<nSZNDv<<nCrWywyS?D8BfBN$|E1&xOdHXrX
zBGX~%QQvXHoqsLYD~6unGU)<d8(Ul3_unOHNq~NNO`da9i)t|-DF$G&0ot%>u^X;W
zrpCr_AT~^>Bvs?@Xi+_g4b&3-^>b)9v(WV`fj@m@v{)b|yf95j6!hLL^1o^D#_xZ7
zvVqQeHJ8q&kbTL!!A#x3xqtrF0(xpjKi;)ht=QXjTwKr))CYrc>$rY!+B3K|Q}CrJ
zk3o8wmFt{E#G(<9bMNf~^+1uASfK>1PLWD{;I)8zdSZagYN|a4^z8QfPS0#~+JK!9
z$XC^<cJy@bvR>p#Ma8m(iEjEKX&4%<r$YIF7My+N=e!Wfq%p6h`PIV7WkoGI{703e
zahrxzdrJ$K)CDU0tR1nS<NndwKKQ-Yl{tinf+v4GFyNzC8iuEZZ6a~rXx*1plYx~H
zQTsZW-@dBoLp4?VoqvmgebEJ~dVE2HO6&MFh2fH0CtdO99ZcAnifK+}uUi8GZDAeT
z!)Mhdc5DXbi%Ol5bs&Ab8Dnacq0s@AXiiPI+BndW!ySdaRB3B^cK=Z*D@`=l!SZHX
zUO!!3g&309CgXIw<l^<Y8@Tzc(N$F(mU*e4Z_&P;&(4|yug>b~IvV@PP>VrugAb}6
zEpH3yNG#6w_UnuStY_<LOe->PtNgDu6<yP!Ry6(;w7$hgfEl-9Ym@5_F@{Y&JJ$Na
zk{qi$avXNS#uG#}Salz2muHl<P3Gq&>bk!^5aO6o>sy?h@f#OOY_;PU4dW3v<kZtg
zLwMC^-v%J`Sl44W=;M-X{4iV0vH3j2)Ry`g<2L+=OVsEKkT13d$4h`GBPuSw+;=EG
zk(8K-IPp8!S2dnIG=XE8Cuy=5GBqx~-M8GLWqc>}Z!M%|!L!BzXpCh3Ut@IWB225J
zeRgnt^z@!0$sg6SO`F=dm6Fh8h}ifj1{XFqME4RTliBXi-&*}jihI%b>h2)PSzhzs
z-mcnW<gUnPhcpJ|t*mU1g54wM>a|0F6INMSIj$RcwBD^q7v$;Y_KKNB-z@$KHqbMV
ztLfXZ5@a(u4B6{epv}OI{9gWb-igj@<L%Kps)%AQ<2D`2rZ)T61lnvP%VQ;TzG4UG
z;W{ij^?PS={kKAGKC3%{SEIvQ?K_^~^jiQO7WI#b;^<7PJhU{lJXCqOo#{}9pkYA%
zGd4($06W;1wXKyi`}+P@TN0OYB8SF5%y(CGp7zMd82b<D$86ZR4^zfB{(bX{Yw}$?
zcUrYTKxbxxhFGMr9_Rm1DUK!2lQ7Eq9TdmLJPFc!M40S29o%+uG899I>FZuYFT%Hk
z<K0L=g?S4Y>gaN}#e?e-D*5dBOk`9*kJoP>Q}ns0bN%jH)_yCk9B7fYQ~o>RXqirw
za`)QR%0Jd>Otb{I8U@u?<drY<Oq9!LVWD`MMyH%zHC>QAD*w0ZK~VWPZotKB{fZBr
zNXA~y>Jt@XMC?Mx+<{;=TMCses<Oj{xRP(?@7;1T`|(9t#rN5N?T%X8R)Nu<qh?2-
z3H)-)djUIdSd#}w#pk{=Ja>j&C3=h=SE2Sovelj;z~S|xo$p?}F?u@VVcnZLAg!NO
zqWxFsx6%V$>mX=a=%k%O;-+toF2E8c*VpuZ0eCLe*L5NUYR1-;#{*w?2Kz2L3IgFF
zfF1N?Yq<JQYTQ0!zD_U{#8qM%?8-t-HZ?Ux#+W#`X=)-hH83l^=h5Vx_?n-BK0=F+
z8IS%OSxl{^Z~*|hhOg4y2AIbWpSE+Vf{w(w3Bsf{G692rh@4;-ka4G<ahC9FX(=xM
z<Jrlcy*RfPHi++CA&*!|Fl(60`=-OK7VjVi{QTc3;U+)XlSy13y3rmU9IzLy2A|3V
zMD&06d<AN8eLETEva&=?jCXx~9h2)t<zbA0EtmuVsgZ$_x_jSw&EhSrznYCV26$;#
zrIt;(;=MUsr(azq<l?Ru3JKQM{o9M7l)Bq>b>LY3P4Y#eJYO+F{QYnppTNJ?D%a*s
zS3aKHH0!EGi9@k9RLIQ%r@ppzH(4IPqcfe{^!9N6{`pNMx<+g95iS<^3vcqm-+oPS
zQ+6CGFoacW<YuSD5Xp)vn;oi|a&PpOl>*ypydShxwyR>1Z$bl`^y4;epE_%b=07Lm
zVv;7g38$BJ%-GnzM?9AYaP@lB>LLkUc7@@im*9kAnF+(~vom>b?-XybDpz0HVNPvO
zjS0sZRe~NO<?2{@5!D>e1d_{B^3a|;TK7f6Cy5!mnGc+z7m*t3nO0W13IwijwnmGR
zjVsc<WvXQ_Tw50IvCYjuTXNULY$Gt4FD@>0GtreSK}yTze_DWUaJz)EO;PI-aaswo
zjFR|Kp6t-02Pyc^`HGRPvJp{(Ct8^bn58^as|>h8hofkgb9mGs_tat#!)|>uq#O0u
zfDQXWI~I%bV-O^1u(RX-b?HS}VB`C2kb7k0W4JVsw~;#`mW}WfRog3*21EUz6pPDH
zD1$&KZMQ}AWe+G!@ZZSPkQ?pGZC~+o@#;DITN$y9&mTpzO^l75&VRWm0sPP}#?wul
zC{#VxY8}wTRk*0MtsHo_Y0!;PQpw@A274RLO*+dbOm2kLX<=IPrhYiAr<nNNc6qJ9
z;Svme=%uD-gUU1i;A`R!K%l_O0LA#)4cA|&Gs)alA=<$fV79d4vuj!cf>A`XGvw#&
zT5c1m<lXrXE7{d(W9udjG$FCT+-rRQ2T9dL@;&^^+HSMV5ZTcm&Va*(R0UQ44!ueh
zp>_PGEclm@!)y3l`<_eWZFbGd>4+>t7@g9>X79>Ts*jDI0o}4w=ZXK}9;0aqEX~n%
zC;AKU4~p<bBa3KEt<9N-rNNEhPoU(yseebQb2F^vLc!u=L}yDrB~pPwV4r1$rEFsx
zX;)r#?tvCYQStcBZ9t^gTKv00TvFN8d1wW_-gGzt0+4PUoDpU#iPzn}lDQO#R)%7T
zyWl`CV|p?PR3`p^Nn5Alc>=sqT6IybBPy)lEaK55;q+k0QS`#@c55Q-s#(tyM|}=l
zmIqf_1h|ar@njzn!;mueQ<u)~u&2vzdio9vWUB0jYArCNki-;`)r1f38-ymPI$a@5
zD+|i;vQTD&W|NQ$k{U*O?X++j0k-?jUc`k&74o38U`DpzOIc6rYJZA;+JSAxeSh+a
zan^uJ{tNSGmUiVsAp$e)leJ(^8hOovDYnr%T#pC-(kE<3hpf9ujd|%>4*c5Arny7!
zw$bg!WVV;wwtzZf>H5xByyLgmeJ*1@5VZB%@m%Iay2apOI6=Dw--efQrnTRDB>-P}
z7WltA>CuTeDOU0)c1bb4?GIE#xGp5S{h6(r<W7Glcn3tY5w60^`&!<#$aC}(Ag7D&
zZLK1k!ra=_UqUG@pr;$I!n7o?`NPipyX!+h9=Lfmdl)s{Z>7&^GuPIc<0mQB{G{_{
z<pBQ>acbm-&`4TX&;>HAgck`F3}tf4#C7!zRHIiebvTHjai_%8QI7_b3OA1!b!q4i
ze6@H6cpQgXi*?pe#6es~^O~H-l(;=^m;cImMmUR$WY&o>7|Yq$)JWY-kvB);nsffO
zY}M7V;_sVCp2lx%wXQ>rHBMKurRQvTU;Qa2!qwyqz~LTEn=hnLPAtfiqPc`J(8FlB
zKy212g)~mriB^8a4o=0R`EzbhA6=gKEYbxxun~<@KL%m_YpXgu^(t#9R^TMYdUHgE
z8|^&^uh`SznrE#adt$^x9zTbd{E0<{qcSFN_*r)ZIGrzN6pKOG%jtqoV6NS$g58ph
zppOj`@C<XN-u|?;7R-x;)`nHGy!*Ncf`Ir8czbdVA11<eEMa4dRX;<iEl29wO$sAz
zq6oki!&qj<dv5tA)U{lY+}dUFfbZ|MDag|I;z)f2RT83puo23=9^kQJO?DE<enV{k
zhO~ZJ{HZR1lj8Hf0|$IV06wFutLtzpc95niwJl2>?spz?!aT_;HE9r%9edSp!J9RH
zP?B2+S0VE7F#526ck=`klfP5kodcl1Jbr;(fG}nKd7+<k_V62cc+>suaUE{{MB<Y#
zoBW8Q`AWmA_E!-{LHDE9!!qC-GQ&s_fId@c9{dQ1-LoYAZcHkTrW35<o^h;Hcq2t1
z{|%Kt3pJljh883@8+}L|#kCdqw!{sK*|^jf{gyUuuJDxM*SQHK5@3Z$1^VC-ECrB}
zURvqT!G6==aSg_$HcYwp=;dTra1Z`=H?e}X80oling*A`e8506H)Q5*3>7zirQ@Yd
zJ+bL?(1?dqZQ~pKtu2R*qJ_jzJr*C6xpu256<@e{;#nzq`O(ck=c!ZjhS_@Okwt;P
zKZ?m8DC}<b(u6!URKSFJ;+B%DKXh5tkr*$yWRvSJ1=TNSkrktDm}cyWQRJr~kL<tS
zA36#>W6;;k0)Cc;=`8fxvbm!^`*7`o=j*9m&fKkZ!5*KF9K_eg`s6K4`Z^znAAY%V
zs$TF;W3=*h5YwY1bbwl)k?(bIOCU^K`VN`I&A*LOV=IwhuXmkxuKikFT-@_K2?+wM
z88y_uswCkaG$e=kb@MEx#AMLwvLWSL8zWGvl8}bCWJpQSLmErLrf5>)(ADVuZG{W$
z2Tj;6njC7g$rfGNnOAPr3#utrDIL2)PdX)D#kN=2TN10Jjr+Dv3f~>uc(0ru4h&nJ
zbnnT`-;x5Bvoy=t;w!T|`i?}W(EsX9&Hw7nyS5b|y>hyL9$ZK9L4@p+>tx(e(l7WS
z-NF98Zw^MS9ftIap?_Av!2`IN`*AmQW_QB?eDXswQfGk%z5(!Nvdx|aRN}@;fcC+s
zQM{#&P4|PEQMdD>f)`}37pqXm`9G!nL+*N1E4y{1K~>yFNkqdBKY&%7U0dG8jFI-u
z$=~gCi%z6fC7Asp>~qw-yQwS}dJT(`bol(7)E_4VRyL|4L_>nj_K9ve7qCRX6L5NN
zyXBV<s`(~|wgj`5UGz;BSNe6-z@}qM#oe`(OM-Wx@q6;mgGrAEx2;P*)y%lt>gsFl
z#MK#5*t>`wcrCM~C0e<0wnch)r`vub43xo*(|#nkY{pMXARTqLs{=fQY1y4T;BNRv
zb*A3Cgu48)Mfai%^>FxGcyh5Ft>SgSl-W965-L3V=h~OBr=SloXThzx)^-yeDm$-?
z%(o{owZUVU_<Q%ZFA%4%4<kQB;P()bw^jvsdj2~eq{BCBB}OEC<D8FzfIP7=>YPvC
zibJ)tVsdowK*H}*pJ2bHdGzuHC}yo*B%6Ug8H^3eXInH@X!5#T^8aEMEJl326R}R;
zE2xs0?9pMwMHLt6zK|FwnyY&%iWO?>^w^9{6=`vKitqwPd!z^^Pm6uRgDKv9Ec3qc
zykW4<AAV=);xSrxSNs320@V6Ch-?9M7SQR3eN@qSxqbMIkl`GI>CF2_0vfkDP1nVQ
zoc=wwxY}2Ph4te`;*8tu<2Ar$;`3uXf`fu?{|%o^h08g((%QNkKVL}<0Q@oijykkb
zDu65bT@L%gW-xtRdyaan!f1<E8<~K3K`7|zl~8Q>uyDX`?s+P6De9_wu)K9To&n=)
zyc;!I<jSEoD&G<WP9N!eQ?mPcI3J1_S$tQt(;XcbhwAYVArr9p6h%zN$cPi=D}tbm
zV<*4`{)H);m>=wCfjYFb@_F3V)r7{oI&1vIb@?QK!?9g4>92m}LXis5if|_SmxyqD
zq*-s3Pji7}nT}soW_hbl@xt-BPuOi`&2M+my3XKXG~#t>oeDR*fW3U%E0=1zt<P8I
zCgNGT<qac*uO6TphA_=(MxyO&Mg8o#tTr7Li;upfbeN<sD8FEKXmu~r&VT)?Vfr6q
z)V*%`>7*6e69&=eN5;g@2B!>wA)w<s5~IQWUGm@6R2?5JFSw$=e>eXt%L@>;I4W$N
z|77ZB9dYL>oTf#{Kr0jWh0m0;khD-HV%z`&gdYOw2`WWB7nblld5O)?rRBE%pzfca
zHsmOfsZTWWHchrh^~dd*x`mYp2)c+_uCU7w08j_Oe)FJNbZVWazMIp=!nOL!z*sc<
zcR1|-uL<{W_5S~HX8aG7?%A_SopPIceey`&0XL{{BG8R`c-P<W0!~6l!BnmW|FkOU
zx%il7dMVIuUFP9Rs|Qlucp<JIpg{4-S5twyY-YT^?{)JehYf6w5#c%u?l3`chU>h8
zOcr8>3O9|j^98{Xu7?3j08Y)N+JKW%SNHcn`ygI~O+7YNVXsjpj_m$JMlj8uA4NZ6
zn3dyK()_nz*LF!sH6I^YE<Xs+vyMl3)KEF7DZF=Cr+zeQ{Q_5zh6Ks>EUJZtkuiqx
z8}jO^ZXKJIYWKk8t#o-INl<P5lZ+87gWQ}FZKpcf%M|=qb}>52Fa!W+I@njF(zV_>
zwV8Q#Ccdz#J`{56TRVhuaTzRVq-usT=q&Oixk)>{B|oN*@o5qOL2%?td*5M$ZEJ)=
zXUcCb@>{<Hb4+P|$h{qn@0iz1S8D1Eb~xW+#k%^_M7<gZ>`G~Wi@Xc3M?TbI5)$Ke
z@c?B{<>i@s=NH|wcgc2=<DLe(BsdSPV*ES6N?g-$v1=gsbuq0DbA7vTP-eO+l|^Y3
z!qpql^P2W{Q8ggT7$wIXvGcUE_g2!!fe*w6Zj9$9NGP14<O>VG`a;&)!#?=<lL$Q-
zMCZ}l#-H|etpNOSHTW8MpnMG>7DU~f)(oF3nZjSufxr+@U_mDlkm9oPzf#Z{@t^ea
z^<BzgOblR_i}{MYZ0nT3<H<U^*ELz`)V~3sG!XvW39O6aN(p3O{dULL%N_eIPWx6_
zo&uS<*0P38KE>Fw{4!?kHyKz+W@e?AS>u0!!>34R!qMOGsWpmmLFK9C&pCG^-H&S8
zMR8h5u}Ajb+piBSTC}R+i``U)c@tEh31z#56>@$(_g_)^`;BHlBAD$)n%Tjc_#%(~
zjnNOfn6lSed|Z<rExcPi-mbHg#HlcM+739y?1*q}JB(swF|k|=p8*rJ8_@%4g=Uo4
z+N~3=A+MR}<Xmf>{au8PorGMkcxIGpeZwT`iaFi0`iNZ{cd}f$)~&i+%#8AJobi={
zCVljoQqYZUM!KW3?KRv+!+$wo%7>sWrN%OcA~mOG{2h=b@e7L=2|SMJr4>JtCWsU*
z_`&(qlu_{ei~WzYm+Ou>4mv3%Q|&>G-jl?JUs&FaIl&51t=ifQla-Bu+d2So&?hA1
zo<$tv4?pw24R<+gzumCQ)2}28HIm^fSuj~#a{SFR@RlVt+S)`h_{Z2!&?itR?yTqb
z@&~$+Sx9xXvlbm}rJP1>ByBQA;A;Dml249Nlz^tDw$jXjsL!CTl=!lgxcH5GC*I2!
zNT_xU-sd2<XE}CTG|vVvPd+>VW=-z@4V|5aS|dQ*+ZggxI594tK7agANcBRS{?RgL
za&QZFYgKI(^&4m6=Bnj1Z;ql^**OZfNGKEaQD7{M>mdw?0qQj3TJu9P>oaVEK$=^=
zIb$cW#ILBlN=6H}<c1!s5l6cSW)Cxm{1f&&?q{+6@dyiq90D8WjS=-zI5g6ByR}r5
zjieQsjHx1~P9ryK6y6hdgSy?QH+S$XzRcI_cT+z-hu6*O&ivUNB@Xqz?mi##V9qr`
zUcLpa4EVuYai;BFL6V48<HPG}Z(G0HRlAeB8Ef(p9X438L6&ya-S*v9Zs!V05y5s;
z=NBZw5qx)0QS}Jq8s$dcacxmPmkh1-Dy};5Z{ebq$tvB8$9f}+i(4Vk4APg;FD1~o
z@ih3VoS)G``GWW<-yass9Ugz=?pcrTTz$WXPN>l6X}-zIo)Aq`Mqdw)<6!XnJ)r|<
zp{#MhDLP>)EVtZ{7?RCvDY@i*(0Xuw?oB%gN-i$tWdV$ZF)>+6JcD5D3ppzGfG4_s
zCI`*!#1iVb)^Gfxz@I~@p5-`8wG-z2EccVq!yo7iO2)6k{N1#aYX_{@RP)nhwZ9$z
z(8AM)zRw}UMX|3`FSP;(6T^V^&Y|xA+PhBM7yw%fjD3e<-KXMmX(SAMS4P+FMWF;V
zkKE8PY_WlBtoe1E#!XO-nbiy?=H}--c-8H#01YFmcO&2su83<rEG(35Vx;TorO#F=
z@TQ0u{P5GXIezpPIuTo4*rsx~dF?D~$t5DOn%#JzLH!Z0LCK<*{H(2<uUmR<PT}=6
zAogsAAY<RQR=p$#_<4FdHisEc<o<N07M6Lo?M8fZ6v*}gB>w>>>vh9rHZcpj+ZLK!
zI_WGav@U45j^5yZ;j8!8_t}Zu{9y>ba&F!2ADd5|K+-&(kR)+)f|T}ErvTaYnesny
zjf^ayVTn@WxLQx$cHnMWa(W2?(IeZJ{*G#6fmFVArJ{c=bj6p}8)4Pdv8XMA6mmXB
zhdt^B7wT&-*gJqts$%_K4RueL(pR39aj}k`sf+y+-XtL2fl>MN@+_~d-H*fpPbJs4
z!QYFuwVm+5R~;c9vfA39cMOj;dw9$z7%?)XI)zm=iCFQx0^un*G!w&^m;Pp8t5(bw
z`&Hp{R+akJQhID$>yLy`2DT!AH{vRM(}M))PM8!IIR9-ZH78SLp@Os~uh2&OU*}#l
z<~n537(i%AaXwuKK%$(ZSJ5m*#J$NL1hT1BQlklS@3v~-R75YQ<(z5am0wCsIJ~}5
zr!#F|0_0GD=5uB@!u%(Ug|RX;CatHAes?{aYEwh<LwTW9JXvU(#XZkaP}L(Y$^pnf
z@spq=4<R+}a`d?Rd-_S52Ekw^T=kL?z^b_aN8AOrLQl>eRB|>vI9fNGYBz<tl8M1@
z+N1}|(0lvHG7<)nU0DQvgV7{{h4-$+B&1B|FjD#^YH|6qIiu9;_9j6{=Qx79-1`8`
zRBGW=a=k$S$tWKjvDZE+NB<%Ydqb2MOQd(Z;`=N6+g&D-fvzV|95%H~AXyIWh5%r9
zAKEA!T_Qp2%|_;aJj8S+6iQ%UMvf^DIg?V&8M|oN1^W)RfteKkj}d(T<n(v#%4o<A
z@qpQr9@3@ae=5tTgE8F5w(;P1t64$=np)(C9R2}86x#HBx4c7dG7)6DLoRjpqvikW
z?JJ|IYP)tfjer7*bjU^pL<Ny<5s(gbgEZ3J-HHejl7e(e2m(q<gDBl8Al+=~?lXDb
z_x;Xy#yDr3KWCgZo<ELfvDdxsHRGDsocEkU_F~+ng-N&aXyS%s7(WJ){nVf=uzmLP
z0rOtoZ1MSmo9>kj@xY7>rluF_F%0qye`wEDXWvh5!pWNCeyr}IyXb98h^^o|p&7;j
zsO1&T*LfYkBMCRkxqjpI>}zy`>A>iyxv2YB7W-TaJ)%#I+TC^g<2BI4ojTOo8{dG4
z)aLbzBK>^lKg*9uiUx}`m{A$aB~?1*3=WTCV-IW8W^xDQ^|I%g{Ju|X<-Z9`cz*+%
z1G}A;DHdO^G`A#;c%6OCJ8#gEztFpoH{pZP=PEiEj-9H<b$55WCz9?BJE@p8Y=o{m
zmbqIiQzAw$C1o?C+tDW{cM8q15KYS2)3)!!=x?!C_gI#Wznlzain|F@Yz9k|Q;Z$+
zophG0+anS$HTn8Rzthq|8TVt-UkbrMwArH!325#kxWuO`*Nnf58RblpAU-qh>!*Rg
z!dZOsc;9qtSNyQmY|k`tk6N*iQ8+-ZA+MyVlDeWxfW56-JEKO*umu=O;58uDP^z9u
zaCVu9rEX-Ccu$GI;z*D^=rFPv4%FxUjC*R|g?3hnmD;`RYu|Bu&8BRUO#<sXmDagY
z0lIeM2jTW%b+2i((YwF`G*3dOYThpMndXJg=wnr1jF3`4UlQsb`|^6o>2ytynYUTD
zq8zGmC=EiT`~oLV#~&c7x5mA?4o$gMoU2mK855+N_-wDhoIsA0ZycW#>v~O5M(Vtp
z@6m0`MBB8pEJTkZBL$Lj`j;sUCeD|tzkGYTB(p_#^^Y`0G8b#=Y#_&t{Hdt0$cC0x
z;_CcWG5ipNk=2TAiJH^RnN~iw4=Qc=??;tUy{=CW?gtAsP~FaR?{WNaTOyp6uIrPY
zQ)ZMC_svNsJ|qW1F_pX5*p?1~L85|+6XV2Yk<I7kf9;lt;g^&)X;r0igYt3HSE^Ro
zW$1O0nV8*ur|<H#(EK=u;YaII>JOZm`UMhizYg26XY+?2uBm9jkOQJ8;^x?YTxwb?
zzqjmsNqrh+*mL<!`rKDKa>>mPNfYPFFDVHaJ*|Yg2=+#(y_-l7S6c6h+g#haWV-M&
z0Mj7%;q~|Rc~mUS{UP6_(!S1eiO~2<>k6}3`#l(1b*{4=gK*;X(Z6*8QinwA6E#)p
zH}Z3X9M&qWtH!T1k|1((H42CQ8W5zy-NCa5Y!=Cy`9n1x9(70at@>S1oIGTqRmh)C
zgqb579*HAzK+otGt1~*E2*DF*aI4`D%H#dX<R{5?IGxPsPU5+H@5J6W3JteEm4yB?
zr5Xc|>Q9tejH+7>r}%_Zh7upX45XZ;#Yk11!(YQ6h|eAUGR$qV<b9-uF3C0T54vSQ
z`Rl1WQTS!?MgLXP<RO{dss5cV{#yII-rbv|RG3E6G}JqPPLskPa9x2$L)iCp7o^8~
zRNm?ctO$w74g0fNNMUOvIAtA0^jmmHM91dld{zGPT*G#)Nndp-N?nKA_ERGz1JBQq
zqJwd_NUA>)rVW%&q}htwws+n0OV9e*d6CvuR;S9Jbwj#uzs^4_UfZDhK}Ro0Fceto
z$ivJ|hi^e^n6LHe&qkmf*U~`X8@g;bRk~mtE<pr|0MXM~knU5Fe>1>F7(y<u2J8|S
zOB$+r(Yxfq{<Gp$21R6f)UTvv@x>Ruua(!;TyM5Rp%RP_I*p6RR;|m1;LHjXD>~<}
zv-g=<cQr{C4K?+w`lUj5!R^YX1`gnPBA({v<{qY7JD;E>z4&<x(B}D6YRUtR1%5<o
zak$vS(}DQdd8Kz`J1MW$XB{QslgntcV&T`aL5?MJgdi!!Gw*nZGvW3JMsw^LJxbjB
zg%+H+G?)38+*&KohLVh1mo1+Pxksy(l3op<+qY#C|LO6>4_Y-@m;1P!lhvCVJlCGA
z7)<UMj*=K`GtEzUrPqP~7WHdk`)IuXr_)UeS}yq^^E}pAe+_bO3USWral0yd-C*io
zt;b$^9jC|p5IIA1lk(lBdfZwKwQKN`w_DM@jRjk={+-TW;=QedS@Sg2=dxVV?{U>;
zA5|$0<e}Xo<!$6D^ri4gu^Sc$FjWY5_V-<Cd)42W#ov!@SHKe)c7mF#1&k=LEPVfw
z_M>gR5E$0S*;I7bV=*Zzf!=I?ZMCAn!`61=IL5@E#EzD@a(c6WzOgy(sThor-o3eA
zmZ38#DA*2#nbtNdV^E$WApAr&v0%WsU0^XWF#f^B#5?QDuiHOdji*ivr{xcrt``+i
zz(8P7reo+6X$O?XD`v7NSSWneL2XM4uXuDR?qJquG5Y*;jT|U0`n#*m`Wt!yS_oQL
zb>05u7tH-QM4a^C$M$?{$&S$a^skkrCDUzM!wN0M?EY=^;B32oL{%xS1c@@M_T<RB
zyj*vo{1kb)Zl~`gi4PDtB~;Awm3`ls5gYThCZ56%R?IZMz`-Opr_8nJiuGd@ijJ1{
z<lQigX_rzVYqpELsbSIdanUUy=8fR&rh82-|1(*bsR4L&ch`v|aif3pb!+ryC(eQd
z9T#at^cGESxSDKIV&YAit)au^&IaBx7uaH`y`{h%h9rke2d?V{3@Z8}O2ax2xv$uE
zBk11S9vR5PmbvPD%zxU4QBUdMS)EHDvV`4#SiJN*BwfhB@8y)VG12TFL@LREd3kj1
z$qOw}1-ip8QCbh9tGvp`90gXJdSA-18ilCeB|kn^Mj3x&=|555tk9Du@SJvjxFMO@
zxhrnu|Ndr3VNi2(YlAiA(QA?-@s#|c^gi}+vyfP)rK0!k8WEoMN%^va)&fMNR6NLL
zyF?D64?E%g_7!jv=kja48XZx3=54LH-E6seY--xf#96d`-mg1;^_ff}#~PISnJjsZ
zOB;{oxM)4o2iYm)SZ^Vz#ZYQuL80AeH1*KOslPc}4V4)^DnyQfKq8Ud+fdFG{nRbl
zrtOxsa|JOjR@28>zB*6$QN|1eX*~w!YlcY?J_rGC7nM9%=*@U?ezf!`^!rsLp18zt
zPj`3s&%@>Oo};Cur9+okBXu9%|B_(`@t@#51Dq+?gI+&aJ5;FuVMmM954pq`&X2}+
zKXv6J3Jbf|^c(DTptMBZV6L+5_se-szes0V+?G>^t;?b0tj4Y4BHBIuYa%)}J}f%#
z>KU)oEt|m-^mD?w$GoC3|AtIwE9!IUGTmF3D?hTCN9LWV0*ti>+%i9;3F3vOt`5qw
zJ6!Ydp1L$8Nm~W=&HF;^M2!he_NBc|A1ez!JT+2RB@mTcPwB%gB2Y6k3bDKSoWMFg
z`?mN^F&2yB;jLJ4udf}n&7|TSWg{4fx8L5)*(9aFpyF#&!RakU@)n)^#Elyk))Jy3
zB06`;>%8r=@X0WqL`xSkM8j~LjSbsp<eT$qyY4kN@MrjR3Wu905#djp?EdnB=yH=<
zol#2mGB{!hH5+oW1|gqRhrdQ3ND#8`FEv_a_H!l4-*%3yHahkDH@9*ZT^P2cj<?;d
z5f2?L7}bl%$}>{Vc48LY-p@*?%vD;)XK89uY#(Y_ga$q$A;JaAcYgTm1<YyPib|<I
z-5cvPU6Xb`o>E7SkA=}TeBg9I)s?K1U+2I21ka8VKf^8mg}Q1YO}B|(ny!U|MIrke
zN+MkKn4~YJPeg2%69Tt{@O;I+c8hG&_zeWMGUxaoD^p+gHGEDrf60cdLMfIX^R9U*
zi^XI_!n)LrUFx)G&L=&AX7N{5)MJ1~HjBrsXIJX-{#uTOfFg#!e=XgoPDN%nUBA7k
zK0L6LO}~MSxDhTkKkGp8&cWN&_25{C2D<@{^=2i#LRa=LJ6;>_E^^^z{)=7s=H+)*
zYu&r#AT$MNg?E5fj~*AFTEc<2zm7A3>^t9?e_Ak32#B73Mvp?O>iouk$s{`JDN=;y
z(Y{eg#4KOqGzb3c1izP*6SZD62p){HeQqZxop>U8)N9EzHX)*(ubR*~(Iznggv1Sm
zjKrhocC;>4+6EnahLMZ>Nc%2-lH;n;?dtut6w(UziRD-$R*0*<_L_!BF%3IS`kZ^c
zdc%8se9rXhP2f{mgAN-}A)JF1cYCXFgx8b5#F}QAS=-#0wpWJDMy^QCy`zxOLvUJg
z>FErL_%=VfVcj;2A;yF$7N4b*EabMmEQ1ry*dKCU*l&j|MRLM-Q4dvn!ezMabW6q_
z`fesf1%D&|DeBRtjHN^MK;J3yCXBJGkfbGrsd24_MawtwU^ptJ!NS2Mn>qa#SXWu>
zYL6~!w{t1*FKVF63q%qW4x01|drhHPl~3nw&xB-uZi8L5>#b_|++yl62`heu+gSJ7
zkJvl^V?66>6;yYGqOx>5oD!p$-Z`utpQ+XEp>LKeW^aE8-GO)}(DY$~RsSUjBcTwG
z%7C_c<oR2lvlG7eRN^<}b88Ryv0m~$g$6A%=W4p6rz3*1g=h7q(G9Wt$0zzuF_Gv>
z^%#Xn`3K(daXxFfXxUPsk-L&NC{3mu!li4Zb}U!p1FvD!Lls|wk`j3fIV1rd8g^~v
zTI|$$9&Ca&22`Y)H@Qy8$TM=h+@B5Xa)CvD>7C%g+`GQN>^!gSUKYcg8CL3o5*-T6
z>IVyO4~!F9*{POL_N7<pH_djk9*wo@Kj(@X7P`~czA^nb7X8Hsb3SA_=oMKJ(|C%K
z;`t@#6d^Zz5LPFi0-O7xm4^>WvBZ8REDF8-)`@!9WNCd>u&t};?ET2UGNv)R!_XP2
z&co(B$we{bmC*TLzQqB{c#r+PT4kDZlQ)6g#%W%aug>|Ip%L}^xc2E$#x=|qk<JYX
zGFel>1)vZD8W|B1DsKXlx$-bC)gFAqYW7_8hv@}0cF-2eByL?Hbzw@D)xB1)fP%ki
zw&#gS`7}k7^rw2K_|Am|6@R6A=uKjzz7XiJ_xBJ6vO+~i(Tfxe&ul6kc{QcNNDubE
za2g6uc*0R9G#c&lo;^w&B`X+dmVQr7%W%+=2Vk~wvxgai@6VTSli$C8myVn>$zD_o
zp%S|?fN|%fn4c!k@m-PI!^d6W>fa2Eq|CHW3$${S(AWF;5|1$y6umJ$Kx;=V&$87_
z9L%sun9XSjN~gsTdI<Zbm_$igcJkoP(y{8BM2%2r*G*yZ0{nI3e~Fw3>-^c72;yWd
z$zZZM7ZXW>sTHs`K6X*`$CQvL+&wlvj^jJ&>DU*Z#fdL*1@G0)XmFLFpkM;Zg4HN*
zaK^RoQpa5ri4>!QmIo1p;(=8z>x#Fd7&x+`-M9U!r@!YL8zPL~GE0?76C1hCEgef{
zVNe=4X*+cBtLQERjL3|xbG5Ht=svSiwW!f4WDYLjc|jwj@FBnrzqflrbl)GGz<P=j
zx%y#M@jTyW+6Jw6@9PCuQx{wHwQtHGGd;_$oTIvBRw|R_Z`&j%8-);uPB^X-hBErb
zy>LKeKGz;j@CIv^`(+DLO>Ue?{}R>P8;Al`3k0Rd!O)-#ZL=<Oy^R2ldlT(|V_Y`B
zGOl5uxFPLE!8Kc??ZiXHP9q#CvWgUWqnOi;si`Tpgbjc@y78AcE)p}~o3DWo^!7%q
zAFIcV)6OMAegK-ltDWfS_E?wmI?VD|%^?t^UXzofqeq^dhd@3M*Co^(Rs}S+kOi?}
z;m^sDbW|VpO=LBU+44c7eVC+tx1IRDv04yCJrM>Xx`i(%W~$Kr?EC%g^cm!SoBPuD
z^OE9WOCDYu?f&BGB%=|-Zv{koml0wwi4Zq_RL?~=9u8W5h_y+%&pwPY@+I|e$*PDq
zY(Fm>ruJW3FSy#QZi88kg^ketEyxikKZJI&l$SRaYA<9<qN*Hs)K-`4fqE_-kK|@b
zm{aKnnHlZJ+IRfho>yKKCt1Y(y?e(f&?6nrQw^X02z$MhzdT=|LhNW3NQuC!{`H-3
z-bKHkUW-SgJNK`_YsV3-&Ith#WA>VzJ}98Aeqdaq6Khm)Xq?Vcq`7tvUHId_gz!2z
zj0%VByX~FWTMAeebq%DGFDb2WXWFcE@J3D4+Fn^a=}HoON!hjNfIM0a$S$lcAw<-!
zgU9<r=IYQTn50N1`PLXG4FiE-_#Ci%D6rTf&|!qh|K#O{Sf!U}NV+Ld`Y;d_K}mwR
zs-iuNokN5f-iu3Snja;ky+Gz*q8&|vM&_Zc0ugeObK)!`k{a4sgF5{-?oU}WqwPNh
zs?>RZb$CXsBmt9R=jP@bXXTzuMX8_ZMVh_Ero6-xVwYqVkWhd9qV9)ZA+l%)9}!Pe
zZ=^k6xp&DIfvqO?R+=WGu1I@Y?Q`ymcTvkNQ6*JgVrj|-Ewlk<9RIi_B7eKnP9ji4
z4kf3(48=s*WY&}hTS98Gw`7X6?w1bL#R=p1t~*&jXgWGQGp>3Ak|*<@u=3Q(PJ6#j
zf`OCqXRO2VqFoncFrH+n#Al6-jU||G6k7fQc_B^x)hX|Q+cWPTxxm2Q9;{V*Ye%bg
zJV<z1DMY=nNCk!AyM8SCd+c!1go3}`n7)ef_f0ng`8l^V{jiv2A(R5|hG)!>2F-8F
z7G7+1EAdv`S}nEsK&|&d(!Nw2t6)GKAO2lEIq?)os@<NGW%DY^IXhkMqqN5%yqPEG
z|JIRoa3T^T+K8WB_6CQ9m{3*|ch7S+tdDu4czTIuKP4kyKAa#M^Pw9a9>#XmFlH=5
z>8Oo9e|ys)@=@z<!7Mv-lCg`%+@lXwP552hoTY6(RJYD&!w5HIKSOxj85O(hu8kTD
zn0K1yoRt$hDBtZ*eLEb=+HPOG-dOadj`H6$EtK(vlgx;Y{}raaGU@vAaEQ4%<niT}
zR|SMlD3&mle3^E=TPM(y)3W6`3MCWCmCy;l{yQgH(87J_RzU&!%a_Vz+9Sn+sk__~
zrigceMBlnUaDI_%Bo%JZEchLyrF3Jqnze%luPS+Qywb_SK_hvwe|aaLSTRdx+;&PI
zCSvhOxP2yQO;Ic=6J6TfDY@U5zLm*?c+)|`lV^45B=<fq`Y$zy8aD+kHUkG<U~L!f
z?oAnbQEyK#ubR8<Mk)nzrMb^Db5>>4I1o3ug4?3qP7cmos`XCKwnhkbmsjq-yUKpp
zc>g*A@f@|gG2KYKu#SnP|5I-Bt31QkOu`3+uC&b^25f#d_mXQdNSf`c#?P20enHsw
z{y!FNNH;F}0%iAqUaM(lra)V2t761^GZ}_R!WZTizO|RfYyutL9>$+tHkc3)*5pt{
z%DxGowSM?JtU7Rxx%dYOLN6<XxZ}D!heT>8QV8QN!F6fx-wPNfc5}R#%=oW`y7?Dj
zM0Uah`|ZP%{9~p2F{nt2CX-+-Rs&yO#sW6452_~Z`i4>&q<FP6PNA~=qh>Led!81S
zBO_c}2spd5{!sOstOa}TxZ7lpt%@uXf=cb|?3|pOP|R+&*m1>`JV(n?P>&{)5E1mn
z4N(ugSEi^?eAu7!=Tb_CD>6{Y_+{~qrweyVcS7fFq<3d1rNqw8azE_Uir8moM&`3;
zAA~P0uoi9=HN`(@n&B&;Qa~Pb{{6h@1`0Q%8~HysN|yv1dPB}YpwVuBc<_bPmxiO+
zPN@6X^We{2Q?^V*>M)wLmzZ=?KqS=DgyKgLPf*LVnd$0k#gtvAYl)X1m-j5_quxf|
z;`TZM;!U45I;(zh_%5$<9KpyOX5pqsUZYMSFMU|(P;>Es3&+j7rLE>nl(M*2nq~We
zSQ<RS`AbYwWqLo}7coUHxG3}Bb6eWZxyjEar#Q;_8<zZM%6#kr<EN*mi+>|?&_~ma
z0q1*5)0MgOYMD~uzL9CS`<*N1K2i$bGe;l>?tewg(&g=vw<?l#9tt$yVf<*?urRza
z;Snl@MM~EU&FD|P&ks8n!DA#Z&V8&*VnW7fy)3<Y3qh&0O@yu-(s1Zv!{E+HXNi8=
zJt^~2eJCa3)TkIJ0r>Ciw&hVDTjrn5PqWxm-`G=%`5mJuAzcGgn)i=E3jY56J7>P@
zs&Z-^IYbTq63U5}FD<vG=ID-?|EZJa>o>D9$D-4%6(Asv*U9gYRW(tNWW>b8#JzQD
zezv580#I75YN3$J)%b!(7z0tt)0E0giN_V+6<gXKBsE1JR7E^=82RFwf=o1v#%K3A
z0hhR7T3X-a*}pDh8NEw~1~?ECdGF0_YN5-?31>VRlyA_xdRxo0@G;(#Mc%;v<8b1;
zDXE>5mu`4H>m~F1CQH<UPFjsY8(!<ytUl@?+1rVnJ!nY|-EE7_+;nfrMB<@|QQ5fI
z9KML_E1g)x&+*^nS!PB@K9yx<!$;JE-#d~ks<ZqTh8UU*zky%t^L4v0teMK|*W_E%
zTAvN|YaR$F+_~rm275~GHh8zACjUl05vIibSfa6{Dfw+3rk$dh=JL_JqAs>odva+J
zg7KbfY$_t=YMk!m7MEC@(#T<yp8P$rYtmiDXmOW6HD%|ns-H4B5!7P#JKE}0Lt*2Z
zHGJ<4O7F+CJk-mO!Vgz{yHFYvc)3BVmH249K@TQ%>?HblYY)prviy9O@7c8G?v2Vz
zLzDm5@ux)xF-auy7hHRISj0ep!(hZJ%~x3bn3uruqe)XvlX&dhl%IfupX*FIM@e$B
zR1jk77lrPhFOA)c+c4Xm%592Ik+wPEk=;$M`r?3Fi6jX129<{lLo8x?vhivJ77lFf
zoPtUK^CSNgXBM5k1#`UVO6z-xO0LuAcLm+Ut%y(2x+53`BbLU^vr@b>VhORN%8xw1
ze8XMf+&h{si?)B*od~_sLcYzqi&!)$xYw!J^$|rs$j=hh$ZNgh!`V(;)euIkvHm_P
z&j|;SY<OAe3eB1d`<4&{ZG5wN<V*bD9LSQS25yZ?=}BPpalD7(D{!tUb#%h*oX9qk
zcS{9}7Dn{3^LXleMGO=6Cte$imChuBPwmBWMg;Rv;-jRNs0W!;LsyoE#II)>QeE}b
zC{Cr+sYD>0w3Tj0S(hJ!<>6A8tP}#`NbC*oTMzY^G-I*uTH&irx26{rjaa4#pA_)t
zh~aACYr9S4vb5WOdjU=CJDV30edeQIb@yx7)cQ2r)q1mew-@pJx4q(Mx)?E>x?4z}
zf<yF7T%jcbd6S`&_=*egt=8_NUeI^Bkbdo~y>a`NG=>C%TR4G+86otEgQ)Iw)y5+K
z!_$NkH*arm_eAscyeCB#pCktFZ+YKz)?D*L|D3kWo<G$q{7i%)w#1<nq{xKi$XB(n
zu~`p5?Lroum=U84JDKs99@1BEEMt6pd{M1S)Z<w`gx);-``p5Jwp=2eI^6O*-p^j4
zU1rK7y4)*Se_pK96>Wb@t>xxE&NZ#d*H3%C7%wqlA#h4YR*3^2Qot4+t|!OdY^@VI
z%bDZbebEpB2WbX(xb6-H5+?IEbz+DGm>2F8mpI){{(eS#nQsdD825J}jg6x`Dn;0R
z4u;_-ba(SZ5qIPCMte7FP&%9(K<~zjBvDTtpP6zU30ywB*FO3mTB!YKtk06iX1wwj
zznbjnO6$nN)IPEEr|7DxD&A|Ob*cT!TDrQ;AzX3SHxr^+d~vnTr)*97e}p=$@pTO!
zQpUexj34GQeNuke3Cp`wRSoT)y}T#BY#SmJ$D%^R`Ezu&Y|#zI#XfCIXYqDAS#F+~
zd>I0ou2Z=0G~u{y`5J?}g2l<{X|(Tmp4%J?QBKZnBj=M7NzG4CDZvarU4J!)WLgxj
zMt;Q?RgY$Q{^+O92TkiV*%GzS(lu%oHzs1eP+y<szwYT9-J2o2@9q(iK9s(r;V(Y;
z8V7siruk<U5_N+cZ!E9fei%1@a>gg1$V{ltOts~9&V887%slDPHM`Z}!tZ@a)!h@z
zYA9m!y=!sW15=K8r&1~H%8B&;WlX7zu0lc<Byu_ErEjOs%Y(}BJ=Uwr(MLz_FcYqq
zP50yV-8{~*>}OpG*9(_UDNf@CjeQcIaOZdj48O3FQAQ=iKV96fLWMmtvBjR58NamP
zJEFhCeMpqaoxOV*H${>``T1kz2gh?OV)gU(m#Mi}Je|F?wZ}g{%NEIHC0u!)A|vrU
zLpM9`Lj=8&hK7bm?I_{~*#-iESn`{hoej7`r=g}6o0v$8j|~$xJB|A%0*6Kmmv)a{
zVd3FozQRgLv6HUPSbCjHd3`WFM{UuBpZ0x8NlBn?Z<Z~MUy!cG3tNWghR+v#!@6{Z
z(8J8P1!m~7Fy7S$Ti11cDzqkOO4ywl*4+t4vHxncfA;K|<WKWb^6S?tv<jl5$x^zr
z6<C$z<t@*}?X2ADgmZYPh(t)sMN=ubS!6#<rdaljImy<u8`pH@;d+^KjK8$%lS?XW
z&5}*)jixpc&A^tFkYMdozk2;~l%m-H`sT?B*`})y!%$+CUhn5lYvUT3^^KKlw`#LE
zr{s39t<HQqd4CtihrCi6R~P6-I|eEChRTo>S3IB`V5nRwjE&dOtRBhgOjO%_G@|X(
z=lMwf_A_hi0%yqcd8`b44zp;dp1};|L7f(fViZ3){90i7Dc78kWYjI#_bddH9`@8L
zLNQxTR(7SwqKWRx6BU(+#%bFMtu(0`os{_a(HTk`PtTL3x$2sN*-$B~0<Yh?#6gb+
zS%a>cJReAP7cqT`Qo(xV?jz=e^EAKdW-xbZ?j&Wr5f}CL)|R;7H@2Xw3=EUY_Rq)U
zyHazdB=4^{UWsZQ{GD?Rh5E!u@-;Y8k8{OIwrIq30DZlfztdRGrOK*7>{a8$4gEfJ
zAKBxW-j_YgPyfERFHV1pT6ae|K0--6m)tD*O7KX6v~I-o+Y9?p9Ok_CPf}!I4PQhP
z$XwiCGu_G=mA_rwx)ki9HNa}0F4UQ4b0n^7qf%S@+gI@pow-!fz~G>p5WQ9Naa&tk
zn0ecMf!EfW94Cct_snaq9(><(K=WISxpb`W4-X7zRlD{sZo^@*gwB}g=z*>{vikWq
z|Lj~WaqzFml$7=D!;;RyQvJeGyW@ic*Wh3JxvG)W(E<U~qnzC&;WuNg<@F0-Qw7G4
z!;+kr2Bc~xY)Y6l6v!_T$;m;5Ak^x?73*2y{=~@0DAb{fI9cc=S?kyMadYL%xC-eX
z$z(X=F5~(=&ZaTtA%D>kDxjSkXkL0nLAnQK%~yGyS8Or9TfSaUNgegndXW3n;6w7#
zv+JbLs>l7gipG~INfcStxQJf8FPTly*lIyuUO!&<t+Cb5t@r)X9+2(*I-Db3`K0Qj
zf_jE5yQzG=!jzoU%+$1p;Nb0BT$P_zRxb-N3i&B}(4*cdo>o??aSu&iH%#GlHz*s(
z&ZD5=|L9M=)bmtdJOrYCUdlt|@Kz(4WNUjnAvWf57hNgOXPpdeCw=@oO}Cxo?Q6%a
zyW88h4?Rc2y-ihWK=Kq7VUU=O9eYi|!#H^y9Gsx^L_wD>UAGCN4L83AvOEQeFRFQv
zFwHR!s$&)8hfBS1So3ZSOn`<q=}>Od-w(`EP40@AlmCMp9#&)!5*d_x`)EKSC8WIr
zXmEjHoSHkYVrqvta8aZ(^6~@b>y?$2QOs7>>mKf2lCB@SZIn@VhZ016C#uIgTMhnE
zqeVWDL-F<z%g)XJbFWV2Ico6jPy$1KUY?-W(avELR?NX$zHH5G;+#ib&-_Yr*L*eX
zKBTj({?S5w7gDarLLgGlIpgFdB_-|b?6|qPb=N&iI6lFZm31dbpC<uS<HXx%Nx{sy
zs%BNK!71sNe#J}>TZeJ+pt)0Go)ClbxIhw6>MLYVlog(0{i?unu(wAJQM}QaHs(oy
zhB*_(*`5NKGTC=>Kl<hBe6V<Ek9UQ3$-ZJPgnFHD=p$0j{F!p;0m`o-6}7%KcoWB^
zW`1X6;7bXi`*^IwlpjV?w+)Fw(1@k!ndDn!P@t&`jH&AhwTjDq`<e;cuVHIzE4PVw
zrjMP{DsA)Jm%F0X)TVml7oMztWO#Tzda1|fUoWZqkdg@K<hZyv`Y>inqPMYy(+_$l
zjq+1d>meUtS$1mDCMki!k`<FMv~*ULl9HmS!uph%Ibz8JlwCekc%kaTMXU%Pcf?cS
zs9yMb_K9qd(MjbV56+-tp}T^+;(<5D=uQ8kBC#a2*RW(l=gNa6ECrES|4~=eUAs!(
z$%!AqlbzlbZE+Sn33Vs1WdqAQk8Y(}sJ7<m@300bn0>={snCLiwy8@1YF(G}W5V4_
zmvf&0RceG3J|ZS?1^Xukg?eRJo+**gC^|Yi`s2qX=c>~2188Y3D=VABW38a|&vk>u
z)ZF|j*)Ky*|E5-j+s`0{P>S^EPL|!lquG^Je(s=biNUJat|%>SE08pu-FKTcQIG--
z@{dnF`^AjZ4~^=5+w?fOEhv@xpc%u}K#W$W_t&zxuG`I<H%~-u&T8Kp>~2Q1Pg#L>
zE8FqW-dkhp`Tg6q!J#K+#cY#0RJGfG)bCv=Z<!aHZ~G-2Ay{~i%g9BG!HJ5=!3l%m
zYVENf<L0GMF|M4^phwA}Cl)N%b{Y4vs%i|6%%fxa21}mU*jP>W7yE<BU&=m*N|BOE
zl4(Z8y3cG1D@rV1YB=H^aLrJ1VPfip$Ne(t2CNx8r8ul%(hZ<+fM5)wjw%s_-I
zDbb6gDU@4k@jy)U5e6}=V@D9=`0Ljm;KqgMVa~dH?P}?1Q2HAmy70I-Dtzo9Ns;fi
zPsuK^q!R`q+Xh+P6tf?CYE<bILNZj1?APM9m)5SESYc2gV@^(Ph&}oI+#Hu~acXZZ
zCjODe#GL5VaDcwA_iINmFo+{oD;dv4Z#9)@@b$NE-)?Gd)~$9`p@}OWv1Das?aU^6
zkv{|t>D5rEQ0@dU41tuPO>f@3fe*{0vuIsDmK5`V`?AN~cb7ZEcq;xXwo?W)_Ewx>
zeOt0;nSu=JS+MSjes{7k3@yaMyK<2Oq`0p|NkK6@b_#tX5%(Q7H#b-ROehr&XJ=kq
z?*emkS4UbWL4;TL2r1;(a&KzN=C{OpOaXC`FSk*VpXK^&hnE7|T_vo#iZfm{UxVAM
z?~_6T4~}0$Vq#)ZQBkH`td7$lYOy<IeYF5MPK4<r!O6yK7Fodf@fp80*K-6v482I2
za^k19n9<fX<Wgn+G+NNr+G=)oRd9-vd~8`qLqovl%oBx*W!KeFS9hChi7;q>A4<!=
zwbYwYY}~oBI&ty4OIM3Wv|haUn83-{Y8yK4;CJj938!w-?G+TaoWSxXO-v96s(cgn
z_uicO^-4^yDTGS&WSY1%rn<TsPDfk){`xY3*Jh&5=lu6K1CR0m_(??N4?|7>a4oZ&
z-^bS+eJb~U)QKE)iQXX4cg3zvOMBTKa}UXB(v`Tem!6*98pRykl2=$eDkuy#648@?
zmt4-?zGyF9FxO>A^MO`<Y)lM@kY59b_sK!v<7>C&Ng{+j_I9M|E*^zg@_r!Xf7TMg
zgalO`KN+O(_xDF`jhLjA9t5LMC}yQ(qElBm!%dH7`se;}rniI#D=X%tb^=MA#J8B4
zgQXP|6oTsx77}c{&yOe9duuPY1<_NZ?@Cb9JWEO%)jDtz&U1Smh<<OMk}5dc3+911
zaGDgHIuZ$g+)3<KqeJ=t(!7reDL%s3Q-h|Eo-ml^WK*-N8s>EE;tzbSNg8oHpFWNB
z<c<(|J(PpP#S33tChE4ow~*(-#&tEV-iKb;7k8$5{M;ZrVto8Iumy5yrJH-U&F|^1
zMS%G3i<e*AfLOwST?wNXhO_m@r)T?<KB6-{@96|34F7z$tLbI`=blPkB8rVG0kbih
z)}#@rJXQa424Qzc^iV$XYHbhQ#Vx)c$s2L11BK2GW(AVg;H3NUVYd%GKDNXh%tXF*
z>((o=Dfna7`}fyYp;a_oJ;M4`z6=kII|_YHEhJUw-R2?yKf^-F$jQAArUO7&EQSkK
z|0Pz49xJ$;A_9-W(-xlkEK6Pm1tSNd4i66rDeeooZs-Aow{f}r&q}PXH5Nt?zH_}t
zd+|?1Y|2N5R~LGXNEQ7DK|tad_aEm1d3`LFseistAjUt~AA$IZ_{U%)5c-IJ3?KsW
z!1o^@hVZ2n`^OX^#EAYM{S3#BGoJe-oa8PcKHghpV`W_)@48rLAY=K2JGy3nVr;BN
z%;ymXI|aMWfJk&~Y~9|dMGdqvgzLdgCZ>$?Dqrt6tUDL~hJ{O_1}D}YvpZCcAMdYI
zkme1>M@IIIjX(M#;IPo~^W8N`!yj)hu~%=1+qmEz;Q1UhGQg&jk{(VI`yA9`5$`y=
z`1)+LFol6W`jA9irr`;p7p^R?!aDK0bnP}g9RN|?`RRJiIK__2rAwC-vy00;UY)&W
z-O(=|DXAn}B1l?mKfKG6VAYfQ2v&JR+}u2OkCC50?nFZO8U;nRS4&$PQnYs%B%2hb
zBF|y>P;mHPL<j%dt^JBizeEpd>x#wXYY||@Ce{c^%s}%ryvZpj_MLTorT70hbbq&-
z-SeV}K_Dnm7qtKqZ@8P5{9^8FkM{JW=D)%7)oH%}pY6%&xiAR-w@<#2Sw88lsRAu1
z0HJ6EkJNe{4}6CB>{-4lI-Kz_y~p1NvF+DS^>)~3c&!t8tTd#g-i}yyb#zp3HqrPT
z^{145KW907XPR4B=(F-U8|)jrx(R0-Cnsl?Lc-pVrcEiil6U&phuGNjz4E#wK^JQ~
zJE-<oC7XXsV{Lk@b|g(7S%MHy!b!~q2a#4O%*$K;>*EJDwL1Vh0mB30bFa~n2nq_i
z!^W0D6>`>y-i4UK)a)~htd>?{3^Q_O`w;oMRY{^BV%@Fn?NUp51%-Qe?r<h_j)oDE
z-!-L&=QH2cspgyUv0zqA{4M3l(E2!%Tucp=0xAKCg?GXO<r8@FOEJ%;8vI6m^ugq>
z?L!5aFqlj*jgp3K(X1+jQg!zG<1WF{Iyw_ayJ#3d{TyXwZhkZurIhTp5GQtngkHuQ
z*;c!qv>qreCDl}*T~!hTXn$4r6S4?SIc(@{T@#)I%UW}|kU()yW2cG6=48?5%w!Db
z-|L}JsmEGL7WRN+apkqU`4qaI-%2sPk9L-koL~|+nwXxvH$A7CD7VpdeBJ9~IZ>@H
z(bv}pe0s1PZd6KOme>tF&NzuVe+nIZ8)95PH7z^;K%u?g2Ggr^%;{n@p*9)5>r8Ia
zeV9wgq56zE2pHgfQU=YnE9{Ld9>C^nmRXWU@H;HLDW|x8T_IUWT|&oecaQ};Ll<7q
zL}Kn+GktqYi>YAbiA3}v9G016N5a>cUJXh&y(f~wJ|OL#&c5`oCkPO@?zn)X5_DYZ
ziBb~bx1FjV(wCK!6Q&OXAO-1}pJ||Efi3X5=_K$?=k05b*Q${AV^-y-yM;bUunG|M
z+e*nNOBrFwe0E6WM|fzQ{B5gG!bl7u`ff1jl5_DE1(&!ZQ<ez-B}A3)G3if7fwoWa
zK3Z1EkTSDa)Nq(<Ati0?>bkPpNA~o^3l?OG*Pc2V>>sU=E5|?edy6SP-r!3vlCH3t
zGOMw@{**IVb{gqpF4#Dm<-SZfYWj{j*>$aAu`5}43?L-5-dXot6wFpisfDjuD)WPS
z>zdc2e~HzwN`1yT0j}T0=1#8roE<KfmYU>$E+`-;&F&vLQ3mfEI503E!AN=fL{ic}
z5W;5R!?`Hl3D;R@=QFqKE_%At55CKzW&*-O?~~2uG!UI$UZ<4-Fq0M?A0H44ZHR#y
zb{bc$<mO$W<=g0Z*ljsl!n#w5%_!Q-yAvUF(+tCr4oB#y5Pa9_M9s12*{o>Od%7{_
zPZuuPsy_>VG<GTNdYUkG$XP~O+9L^wos5kaKw}H4w`8MQxeQyv!5|Vbh*W?6Yz8}U
zv4om*m~8f^!T}i>A1~mzqzn<p*~#JL`Pn{$*N%!S<>9;9)UY{58NyUF%T%vYl7Q1n
z?-Pd3jt<YG<!p8;==~@0>GS8$hm3{8Y)D)`I4rQ^$Z<q`?}3D2S0cY^9``^&|8mJZ
zJ^1~Y+}!B~*nG3;AO7H>>(W_3gYv(80cURu@L$P$D+(%Ml|FJz+xQ%7vVcJ9_B`1N
z|Af=yM7FV%z0jF3+|%<_|5wn#!GRnu^Q~L0Y7ZxorlA^QN_ZLP_`>@y8{bOOQVTfd
z1P;J~(!oK0JkX$cKzOG!6m=vKYPw#f-@m`G00Lb}X!B>1%fzyCmCwm6LjV|>9UQNl
z#4;KP?I##v-m+tN+}8e7EWd<jG9y7ChP+{mvdM)ETS)S?k6#P@`DV~8VF&_~7L!aU
zb)JS=?(36pSC+d$(jyX{5?C}|<${O#s-vTWt+1MNrYD;9nS>!!nWvHeuM(vzxF1%+
z*r~^nb4q!%js_44As&d=`RP7W*H?q)E2LDs)>=84iy+!W!2SsfYu6s>R@wslfz&S_
zdyK^m+u1R1|4!PJ^vQQU4i;o+Xy|``2(L1R=RBkw$Rhsy`LhsE3#@i<O9<7&A2eaK
z{OMM@buQ}@OV}CbA4Pp?13@r^Nbuj3PuezKMsk8=Zb*TM?(B`(Sez58XlPK|nSv)k
zKGo8qosjlM5|Fd&+(lkvR<ykLZwU!znR-=Ns!|VQiSPuH6eVK*V{+|ge&(oTNX!9v
zdZ)p06t=Zx59LP4?S)S8^SQY^+}x*g%%TuQDV76Vx-hD}pfU~)4w4sp?6LQ^ml~QZ
zr%MKx{P3P{`!Kx;uRRs{-%YHpMTV~$%IR0o_0jfFpgX|kmwM?F5)goH({$?XFeLC;
z_37L-EFUZUK0{#DC@HC;`sGEh5Evk?)zMNmM#e{M!*J&J<;%2Q(*f_htgO9lk+yTp
z?mxitB<X^0L+W!-ir>pqD|{dLZ-Yxf;5ubtMX`~aYduzG1?~hKn{jbPPL3%ExRaAp
zFR|45W-D__M<V~jhY$Nrxw5jd6ccz>0TWr=yLfPth}RLG=s`muDbru)s()h9`uy^V
zO7GL7p_x`C$Epnqa-RJ>-P7E|!hh?3e0o{QrGF42V(HoM|1<FTe+LcgjVxLtZv~})
z%FcE<BC-L5AbQ#_n)&GyjNX=1DJm|m`sUHok-)2@5>3h^wd4E*A_3he05Y|UY^Q%%
zf3d9Ex702%?u<9<&#Kw(5`-`jAJ<RixXNqg_KmV|A%t%`4S>{CBe|Hnq!AW{HGBO^
zqPvHlxw*;w4q4@b5L@*4P`OuOA$)6F=I!Z3y|pChU8i0F$Of<nSg0N!{`!`6x#n?r
zcz910WIhqTZvpKJEO+~y6{oX^9*=ZOe5$V2y7bU|AZMcm(1Bzyc__WG03&0A{<pcs
z#Yu;5VL+SfOC!%wpt<WHXiZ@Z&`mj1%HZkKzCktJ8q?l%AVAkD3not%c&9Zd6;ecm
z2cqgu=GoJ}irx6?ygJJIEX&Z)@MGr!M9>h!2m`PK_c`-sb=}#+`iBDV_$QV&FgYXo
zi_e}uC6nyEeID>;{p$X5cFF|kyC3f5q8E2zJmR%jCM0lF-}fgxf`fuAc@lo<gIHA@
zt>iJdFQvh3nzD8J^4yY=or0>hwyrKXNCZS*u}Qax^WPV)zU}k&e6&I7cQs0KN~7e#
z*{ej)%*=G{GLqm|@AS#_XDPIIb(OsU@n+4C3XO*#75eNX;FU9%b8CBEm=&<gKER5P
zSSrfNRY6cMCnwkFH+I-<&@C*8K%_r{k)Lf4R}l~pT)lQpQlfB};!T`@lR3-ZahJ(K
zeWWS(i-4{&u){-VM#+(pThOKF$&M{V$;il<n4vVZ`|h9`C?%lMl83-(1-KVk4Bx-E
z0N@mGkmWaKn0~t0l|(4|@)+8FByhNG8Io4az8BQ^Tiw4*7V#^XB7hevpwuMZ5;N4=
z%}OP7k{_W}^GdJ97Ml;=kyOzjqUX0a46t^R*dHp?wc(6Ic0tO%+;Ze9z0Z2hevmXU
z1wc=Em(4bZSwPy?-HBPi0pR$MwSS<gCgYouhp-QBwxG?yVPRnhY|wTHKG`Lla%Q*6
zQz+9Wfu5O&o?C!FNg}>{`9dD%y*FawT%|1$85x=EwKoFB@VTn$*|L%k!Jzc{uI~BZ
zS@G%Q`RU|^R@=|F!I1z6IZI$7Z%^9eZqf7VGAZGQ4~q*5?hDmA;8bU&r;DSf(S>#N
zb~$BbWvQuRRXHi=CyObbTQW{gyHFwzAhtmJ@9wZJgN~+i$(YsT8^z&QShz&e($X#M
z?H4a(c5yAApLCx)?$|3P31klb21;TT99bP;%3uoim=7N=P+6Gh*+Jb&d!6G3kI%Sp
zcE4HqSO77@SvHh5!=sCe?7=F+50j9>Ni|hf@}S95i`YF=B!NfgY?x@lhf`9QQen^}
zdk2S7Ojq#qpf(~<f(vor1f0tST%|u%|7se?^NB+h8}WTsRx=<)*y~QVz;V8(7e4x1
z+-<J=)6m3(mz&%FT$ZM_|62DIgfB~mFP`sxv#QZVPNN{6=NFJ{V-K=vR{CE77}-vX
z3w94t$F^sFNM%#~f^V~)hUpE@M#A>n|NRXk3*eOaz_KH<2rQ_gOH}}YD=F)pJFv`^
zw)rpW#ZnSLM*uf*i~Vbo_;`DFcVR)n6;VKij2Em0#P`#yjRC|q6FIr&9FzlhHUOzP
zr!$ZKu1#m5;juLJ=1PCQW@_y+-w;a8om*Qga?(@jgf4juu7$wHhRMx+<{uIH@(Ry4
z`KgXhtx-EUDf~nixb;S2knGc~*g7)O^0Cvcc6OIdV#u{cMqVX#TTF7Pbj_8^&CBzc
z_NS0A>`j-{IHX&vL>C-GY;_M=SiRMDOX+&2wMEQ5&8+J|jC3`$7bqRD)&2VgV^#YD
z&y-;8{^j7mPe9=)B8GK+YRbxZ2F^~`eRL%Nf`+cFtZW>B@ql`7PO=_Gu)(g&nXwXc
zYgOyDt7T*HctHO3EauFYEezM4IsLp`2Zp-z9uXLa;jXBirD80^4FMn-QnRbUF6HJ1
zU0{fKhMMK9gc5yw&{#Tw)iIkoVc@SeXPb%Xh4`46nV~vXP|yS1^*_{;)05`0B51}D
z*35)_maS;@Ko9f|xz&KjAW^b!T`u`kkK<%p^xQ$h;0gPau`8YP_MOSX7g6i@Z(&K5
z5_UqQX=zFKB4Oe4y8W7Uh#3lpX;c_3{5pVQ0sd>r6tB!?vS9T$uf@<8Ioy3^>v9$m
zk+UN>*Z>{PLoWz0`@O#-&dJ$}$w2j}G<saTO(LJ2_;IR&>-$ueHYgKw`TLucpz71n
z(b1T7)jdzP1AOq}bZbU<{z0n?vxCzhNa88S;^mSOW6y-szh%TebpHE$-Fv_4;uC==
zKzk}){hxub1s5O|$TLM5nPu61pe{9NspxquKkhLKDJ3c{Lbbzip>7@cM4*C{ExzRE
zd!6nMOB%ug^Q{Jl-WC;cu0H-5=pI}tTs{^a5s`M!FfcX0p15XxBhr2CLddv7>aoO>
z>?*WI12%>~`1cc(DgVCJ8PAPo_c;u1HPra3*8rg^#MVIUmfbK1tPk0ZY5ME&ElFcp
z082#%tqyZ1&`0xMG|SiGOp<#Eysda^K^O#?m}bGVn4g>4I^^Gy$q_~>fsBZd9&R)e
zi=J#e&Y%CFrUPkM2%eHX)|MskR?z5D;?=m96RQ>DxPEE*4Y*cFF~QxQ3z0FWyikR!
zcivD_Q(wJ$H6D+Pi%a@=<rXQw_sMsjTCj++`L2W%wPKY|{0Yh)2V5ytt@cOnS(gi!
z{pnrD6maLi0A2JKL>hzl0dT2R;Ag?YfH7mca|iZ)a&@G55f=9M&s8*-wzA&^x88BJ
zM*)4hxVXpw0V!+=7>e-1h3-ku?M`)d^`s@SC1I=kv26OR-VRAEt7~4iN&Sy6Oi#{B
zY<h&d>=J6l2Pn@31{7)+V%$r_7Gn^VmJ*LP*^r6=FQ~Zttx^10XF{R9jY_$TW&-Y{
zeg)dTLcFnMb)dKXlG=+GuHC}>021o>y^c!Crq3Y~Em*}Gz682qW><X#Vm2BOC<NTh
z*ypwRSlvDM8c5R%*iQL6njZ^<mVMHa5Py7RwIpHfvhIgYU-NQCAS5mWKyrMyXS^(S
zqvxc@X;?cuRKWW8*R;dly0hIvAjBymHZE6=@@bmp+iZVp16l=i-MQeL4k+}SR=iu_
zfzGXzJee!Un-oYQLSV`Tn?<A5M0LgEYq^=TvHi#zojTKAq!sotV6W9bGS5+7+nu}#
z<rdo%AyNjAoBNptMqRCN7+Sm4L2Nv_aghPBsM^%-14^z`b8~F+Y%j9mU;CMFCg>KA
zjxoVQhz$S?6^k_;(*@Sqt!5(dF?@m1s-pAbx^qGO97xK5NHrpXdAqQ7dx;7jb>)GU
zf4)Dc7AC<zft#wzd|b)+k`%4p?aHy&lz>$yH=w4Wd0Z9ils;zl2b;8FA>Kmb6GX58
zKQ7zU0pJYt-pRP4qY%Kpc(6Hpk30aLJo?*St?aSK%sXb}5E-qAr|a&@Ad(Xjls|v|
z3_JjB(6p&RNq{)>TkW_mbi_@wd!WPT=H}MD);*9#*5j2B#b>yQ9r(K-%d7SqO0z=e
zmU}N=&+(tv3!xKKg;4uE@|Ijzis-*6@f^j2d3GQ0slxQ#p}Z3ZC)?dVo4+U^#kpR+
z-F2~N@7jP!ft;>&_efJHO>9&Y6LNd8TNgaIn_ETu{3uX%fEh~wGy~9;SdF~MSiE?V
zle^+lcRW5)Y_k6QTSjhf+q``epPl|}Qz&%O>}+j4oMkxA!Eu4jnd}1_rl9Gl{q$)O
zXbm6}S|GbYAHe?t!)0!lU1?pN2#g##8JW=0QU+iiL65yJ&9k3#a()9#!&`UQ3EUGG
zwN2gWp5pj(NDW-SejP0B!FI|yRQ<pw-JJ<$SB&TS{Owz>aq&IPvM;|TkIH?Hc}Yhq
zo$`2QAR+O$>(r^U+k3AVa!|Rs?#HX;-6^6z=Vzy-rKPYJfOB7zS&l%g)|jp0$W>l-
z+EAJUn_F?QxjQ)s-}?|Lz`F$>sG)(fdyD~#v=DK=gA7W)pup$^#=z-V@gyXqtbiXG
zAP~y#r}E~pva<mmow*<n(3IdIps9(IC2+$f6rakC2Xj$rQ}3ORBg=R8>(0SAhT%i1
zLm0Gg?`ZP^UZ&VW+>hjh^uy5oveVdYKZcXkQp%{-ogakkjx(wOmE|CW3$u%=d8mY!
z6Ue$rhEc}zQH#RWpSocihl?p;ln>HNEp`q)ryJ<ntV*jG{_xgrUM8(T7gYVA8Iw*<
zcD>MNDy9n<8I*20Qe@Qd8iz?L#MF+=4*04k?`aQv!@Rld=UTph=PMpbOh^y}-n+(Q
z|Gs+Br^hD8U{@;O_#yxv3@lu5+EDUq<Av4)8h3z)F)Rx}DLCl$Fkm(4T>eBPBv_Pc
zKoFy$F$$RR99Ye>RU4m#hbD^IRbH){?#*;AmXoz!Q2qj^YYjQ)=jS_<1j`|~$jvKQ
zS#DPcH*(?L04~}9Lq$bJ1q9Eut(M#T2jEu$!Uli~8?3lu3i)5>^$8HQ$hbH&&Ny&*
z@IQ8;o1De=oF>^>-}n1h>MVf8g=k{<i@HPmy>iHIQ-wAGV+M>~CnU=tpF?Wnh*q|i
zBNqC;Fe;r)|BvAdNO$fpdjPqPqnNwuTOi!Ot;^M(Ki?qdf)t|-I6(wS-gA_8m2-X|
zEYNR-4x&l=i<HN=l}_HtyKHRNBJk*4Q_GJbTjQQM-Ny*|6ZT8km?A0b^{=o%;V2^B
zU1K(9Hv?8ZmUjrORoz#Qee2bGld(I6=SPJ~!n@Cv_7^$H{WT%!t*xU|;04hW&{j2D
zZEPNy%&@Zf3n%B@u<C5#kk9@ZUOijT!7X?+Ur}DZ8ltuf){;DL-*gWWSrT~g-7l`6
l2%c~M@c929ayY){#Btvq5tKC18DBhFMp99tKwR(j{{R&WbEN<P
literal 129722
zcmdSBbyU><_bxh$ilBmofTExyrKB`U7=TDiHz*(?-CZgrCEcJPAT2H3AfO<OQbTul
z=iP7o{_gqXth4S}_nv##J@57TEJm1l$LqD@+0TCV_{vH@y@Y=aAB93)dL||;heDlw
zh(h7ioIee}aXKR$2tV-5#Z;|Os2kqM|EGc`SM^b-o2X~Pj}+|V76u*6uW!a5AKTe=
zxEP8i*GCXOi!f%nYWxz1JCKBag0tl@ukEvoXSlC?Pzy1>dyDce-j{sUkdMX@OhtMH
zig@omTSIWF)Nj3T8~yf6e;h}<&YfAkSf5foKZlP~+0M<??IO`*Dr^X|;h*mHRos-_
z4TIF-<S+b=zoxsw<dB<0q3C!j2hN_na+kkdgM+*pL7lNb`OS5A6e04$9q01MDddGY
z>NG#{6GiaQ9T)jobL#vG@)O02Iz@Hz0{7;Bog~MST-Md|@#o~^C&F)Qbxcf5O50A(
z^68A|NJ@5gb~<v*Zeh(>?U+wK8z%aHeb)aaxAwo~Ni-%|P^eVSwtTsC1;IpeqQnkz
zd{0g(M!V;*cv1ea5whG*gQyng=JHL-H^ViVC8m9S+9oq#rL(eVnqX^nC}8`-JmlUS
zA07G%zua#tUwhW}QziGPx<~WWAPMJ`w&|2*X<1pBWzTuo^%hUqe*NErgYjZC#n}#-
z)whkV{CSWqFt#>}{hM<k@)->=p66rzY$CXR=!MwcQxC6Re_)$sGq}|7d7yk&Q&{+C
zR=nebp1sx_I4u93L(b_7=OoFNWtdoZ;4q5i+uzCD4a+uumLeyfKAsCEsnd$C!Ko2u
zB*jO+ydwU^j_A3#YO0)gpY1FG@|ZF3m~5RF>n{^6HXNhKS+A5MCM5zJ8ugkgsG03z
z<nZqRVuQx3TEEN<U8~*3F2Hlw=yA`UK3EzoU#{F9B6OK~^7rpw(~<{NL2ffos2yiM
zdrPy2TQBw(CGP!6%gD?;bUo&qj$6+*b772@l-B!&V!IoY+W7LGW~glT(;>=HF3k&4
z>xE45<bI8<3OC^LbazbTOhO7B)~7`L$ga3`b23w0OqEL?t0#0_dFOU8P8}qqFk6dD
zT`?Z`AWSYiJbcyOd3mTZLjPC%gYC&kZCD+u7O7$T@qqOXA#LHDs=Yb-1pAi@Lzhr-
z9}Q#5?Usk~w>BR)QO(?mx~h)hjMTo+FvybY+H&PWOiT=CcEb+hm8n@RT&J}eNKbpz
zkXP?CPA9s#>ge2zmbA6Ab6a*A=D4W)D~3z^c(2EMb2wkWEwcJRKjn|h_Fzw6U#U?~
zPH}OuA4}Qm?WMuQ<Adq8RRWZbum+2=ygVj}Q1kmr{j}20m8RIkaH%S>c)QvUR;>Fo
zjh8N6`eFx{zQ|E3I#OO<&fJ!fo_@9aD1O;_dVl!1YIu2hc6N2w`Q2jT?oWdR=e3sk
zobsiT>cd5yaoCQI2h03z`P|06-|Sb%<cGqD>{0rEhLIz&W1359-JZYmHRpAL$Z`g_
zhNNhy(HTLiAnL>+k%_YT9Fky3I;)kD+S(?CyPF#r8NVNkCBuS+>jR}$LI<OSem{OI
z5TZimMMN4G`U+y<h>3aiD@Mc-;#Q5XWDd#={Z9Uw_mN?_ep`ew_q=6k1dHbVtmC!G
zHW9tUy-gCOTX0bnYP|L8siW0qYVu&%o9g0X+iw;<Ihts8t0~Fco(EZOR#pW*6`S4a
zBr3Q6z5j>e(rM|%%^vOJ9=AhfqSEOEC$Hk|jSU|$ek!4(JFxrcE-Y4k?QDtJuvVOt
z_Mg5!KCizg!I+JT&dGgwZf<WQO(_1?E3@yTUh}!tt}`jd+>B_dpy?fhE6o#97)~k7
z<h3Iz9+Uo!UuLdW1LELV;5Z9Xb9Xil4-XS}8tAuRb)9$Dw2#&z>vPCTk~^l?n}zO0
zwjlxGzF_6QFfSa+GfWrSBI7(p63b&&wb3P!=s0($dRQpy2@_dpwe%P2)LxYZ^NK5s
zN*4z|9sU0NMEh_~xjD=9<UyNiX)dj#E6jx^9!!+k%#*Qb?6@6oyU}(i-k*-M68@5$
zd^@u361F)fJ6lS4>Q}7tS|jDjflFPr+C-_VdjH>g>99+GmPx}fD(5)QrbMc#sU<i}
zMZe}$%g5GvUZ~W{HH?|>&Ze}T^(5E2984<_;qR1v@<B<TXXGOs(LckLwRY<+u*Nwp
zm39bhYqUsB`91#pyIJVSg2-W|7T3ENJZ&F#fg~7g&$J@*B-!b_1Pe&~^-Ab)Rwh@q
z;MLMVX@}6Uvy{}Ymi=MyiL#vICA;eV)gU)x)d-)3;p*eP`P>qw`Elyw9ok3@_FIZ4
zOUSlFr|f==Nj%zEDCqd`W3=9Tx+78BCN5Ij)#3HAA8Xal(f)D|=OX3sj;M*rB19F;
zz(9q~e0OSUsyDUkcmCy*gy?R;R?3|xFMh>MEDbYjy|+W)`S^uOTV&NnN<>5itS|k1
zPwsHFo13ogI9HE`Rgb2f2s+q;l^j_JcVG6>(+5R8S`VT|pPDv)fZfWX2y#4GqbM4>
z9@2j=Wr_d01RZL0i65m?$B=UF+&Q`QFnv|87iUg;$TEB}R4bhagM4U+gw+r1(UMP}
zKIM)zanV=KOVOX@2fMeL`l-XFGSm-OIXQ7^oFrX=K}W(OYo+0<1!K2b?r_uBxdQ86
z^sgsaJ9s!b-`9`+ODdyC0H3_hYp$~|VU}9HHk%VixBN4@V}s23-gaQ*uw|(Rm``9%
z!83qWH4}Bi1}L_oFLLP+iYUIFD_eUvTgiY`|FH$R?=d=<LD>OrftLvKnk4hAbs40+
zQrCiszZ!MMaJTp46Gk%N@8;sjgQzjJ5ff$VL{_{Z5A%t7HER#p#+@C>Hh<(a26D>9
zkN35Wc`oWcHiBobIS-IW=MCPO(~w3T>QZi(@r=Duz0Z32yrj7za!J~gOMaI9v1sd5
z&tlfN@=lEZRwU0$3a{sIL?A0;PJI0~E=t}nXP(2Lor#ILuqvOC^6tbQGq#ZH$-3fq
zmn%8DZSB$bbkE7pfF01?LQcsyYX1H6=h{ij=+r()oG*3Tx*WV-{EWJH`&vLm2@>bS
zgxzu7(;0|;5t9dh&kMhY;k;CT{><q-75_X4$L`PkAj!&y<;>@)Fp>F%mtTfY`Jaab
z4L|=^p}YSrA=LjEtp0!fI459k#9lnTs;X*eXh@PSISefSv+UQhvi|wah;mNY#sXY$
zS#wdQwtjH^yWwv%hf|Gd(J^#MhU<|(vokaOn#U(uU~fm59szES6HNJ2<+88kVj3G=
zfYJ1XS^yn$>*%Y|K4ZCF`uD*lF&eogb})hVbMUY=vl2AKv)28snMZ+f`NM_^5f`mv
zm82I{O0bKz-t{k}Fs*8I;0Ar}QVS?lS}q(mF6w(KFW4#xTT`+gH?>Z$_Zb&oPk|H0
znZUZbV<Ouog&TfeCm$Ap9}GmdY9K`V<AF_&Y}`pXckINE73@P?#~&Ygti1u#5}%o+
zE{Oq6EthXdnbCgv<o9)>=56}FJXCyra>_Yn#CmK5C@xAnzkoLwP@kNvaohqf6+lsY
zcl&qz)TJP@=+WqEJyS)+@SJs3xF*{<UQq(LfVHOC>(}2*oZ$H@h>}0%nY7tDSliXS
zF3sX2_Wje{9Z@cdEb^I?MF!AR;jsSrvn)E8!q~c00}!I3qGBBQ5sFO-c|4BERr_n#
zt}(T>>aiD_ln<IFc09EPEJ2};tY$CU#oMI#;pGss+zZGkFZ}=3(`o>nK=g8nmYnL%
z(@j^%kY%9oB07KOWuA(Nh-a$dB+Dg$68=O`?@7ZN*i8HgzA=vtlWQfDB9ZD*V==+^
zuHW3;ENf@tfB>g78bpb5zrDG&Rdu+9#cKD(&#^mgO`ZHlwnsQwQrR0JNk@2{S9a+%
zEJ+gutn~=LczVgOYdM(H@#y2?4!Nxd0iLJ+_5=@ajV%eIgT+%?H4)2Gfyj)CqYoF4
zPK}mf<Vg0?lq<ftp^}}uG&?`fC}9EyG5#L*$2>uUg&yshrMZ?7t@zFbF{Ep-CGP7C
zDQen-$zDNKgj!dK@)o;Rp+K$qjD&z`i}FF{NbajkUCNqNQo{UH9q+r(z(%*9{1Ivz
z^w<T;vdjjD<*KjG`6W&3kZeft^yIAHHFE6v1>Fp-zO?IqAO5uxLs$DIlK!g`e*$2Z
zCVb>6<1&$o+Wh|9+?-|Uz}rbHyDT$Cy)aGL7?vgX9LjzXiRr&RJ@faq<#51S5N{X}
zi%I3;=C-x5DUB$V#9TKH5>3XW$=H?4d=o_OIuE(Av@XtUzzt<(_d{EvQVl7*hL;US
zp!|r-M*eDm;bgviKJ3H-Et=W>mGu8JWjZ_+a{NE5_5WW!iE`-$uu9S}IbUIPyfiuf
zS<N0CkB6MsxGp9S*uaweKY++kbFXXG8jy-$qM7EflCfcF)-F^834$(;{8X%FC-xG6
z*o&8khsV~|)?)5LYuchlT|R!X=}hcVb%`@kz1B;{l#GmwR?XY6=)5NeI0~>A44cdR
z=k=L;$NjG+F-qJoigS!G5pS+sxnf#U9!Cqt;ZM(<hlApMct5^fkNs6QRmjlri&uXh
z=B9_uEiN*j7%Ry;<l^p<bhpu^VTx;S1ocaD%qS@+qI#2H`RPazGeAY?7v-20cn4Kg
z*K;f8{l_d%b|2TgRD(H^i_$cE;_u7yw#FtP14fJy!i4wX&C8dGWW*xnh=xeI)LD#J
zwqQwk)e#>i7+K$aTl=Xk6E{;s{LgQRp^u|}*UEC5U*=hcL-1ld6=iZBSRE<MtDjL8
zos)egtksiiv%6nRt{4yg9=J6~Zdt@+nD8HjQqvbuZ3FHF=Y+Czz|;;fA+plOrCEKG
zmcOFzB_|~%RZJrL!E>@7&Vs{GjRB$s?&q^CgviV1-`Bs;G!UVH``bT>F-eAM45R?%
zCRxA%b&~Gs!KWdH{@)^;{>MgmVm~#f<kJ7t)VS-bvP3dcTs(K$!%`V8ntC1X6-Cd%
z#`e3jGq`P1ji-oQU5$)u@9+o;gI(vUwQi`dQb|wV6(*k2kHy*<52*jha8@&xxXNPE
z*5)**#ccO1Cq2Doc{>tGDr|}fUnU<WcQ;&|Hnc^9CCxCVXFmJuSBm>QL&b}Mfq~rt
zi?gQT&wAf=guXwMytj4934#!;6_*sF#33w129iBflOBIIAF1)MzCT#@qC-cwjaI7j
zwRMyKRj(I5Vs37306tR}ZXrBN*cV6UlHu@QuVAeiNMlCEPN8c4089ip8KJ*8SZ=rO
z_uyAt>xQb5^c^XFSC@T86LJ<4ZmEL2yyuug<oxLZLZ1TN&Po+(h!>f@$<5BDg&T19
zt-WW7a=$Y@)0teV!4jFjPe5k*4EvLjF^%0tY1yN$n;Z*dl(u%Fk4gkBTIsW}J2_FC
z!buROLkK~(B8C)4Cnt67!O$i4$;v*BzK}U~b)JRUr6n>V%^ne99&uKS9_y<MNZLNN
zQ-A}X0Ai>uA752J^4bHQg4SZ1&=!W216Q}UBvF}f8wM#npNg2?Ogx03#r6W?o_l&D
zrxa0Mb{EOGh_Gq~!?l39vZV{Y%|gzXhbX%$9t|RBW^|Q#yV4jdorXDyAB;A2C17Oj
z;>Is=p)5dv2t^Kwt7mpO=V2}c?S)3$`KB#nxyi29;;^MI=UczXyVS{e+T-}F>e@eY
zNUi?}zFk>a`L1-3&A+v^wZC62brtSh<Yd$R06&!vvLwE;w`MdWET6-hi(#qN`L^>d
zKVJ^Rso7(KH68q;Wo)ea=QTxBmTCc=@s2=b8|=|`QGk;%?QR@{y7iL^Et8|uKt6GE
zab4*^s&xazp>*DKaxzl|m1wXV809cq^iq`(4^4K~bLB)x#Eh-(=;$($UGT1VadGKn
zOiDE@8(e}C?fLV2!O^=l9yqxs1EDQq8QNiv20yiX{!U%O<)>P8tb|-nqI403VjxE@
z(3+l;BTW~2VQ9F*MN^&SMXUoY+B9*>j{>q~<M^r=4SQiVFp3!&cjfa!;9t>_f~+l7
z+mbycCfU_b?`A53RkB2`J629+04|lhcyi88&g{Ir)s@kDau!3f;O<LK!e1ss=rntb
z-XKS-=7<xNcQ@1t_0EYi6)TJ9UzHLLX`un@aW9}kZ0O2tnIP1g{r&yI=;xLBY8Xyn
zJ_)?(M_;Zv3$mh%Q+&gEZHL(Po4auUv5;s%RUGviVnNNHN!xO77Q4i_50rz9`hH>k
zt6EMa0O)wjEmq)>Lt{FoNr-|<tcC5${~nwzh!!G5)hHmuwvJrp*RN64I<_~z1_~_=
zE_OPf>a=m`&2fT|n}xWQj@<gLGcY;in*0xxvMU5rDme_aoLv>48)|>ov4u*XMxzWa
z)O6hl;y}~_1lJeXt+#&2EsBTbi(o`ZO3h!m*w}DAfST-|;ShZ6n3lo-@}vq%8z>6%
zNHv6dI#4t@SWHhxr-oCi1bgG+xy+1=(;g2?Gr=NA^t#UOJn<$F*k3511PblD#dxs^
zc5U|nS8&CH%cwhS;Q+{?^`}C6&s!v91a~JCl{L8nJx`;W5>2q0nwkOv0>I7p$_?;T
zm6bW-FO^gI3aiW$zzQH-=@UYM4IuFh6l7NS51WI8zEQKHc;od|owk>L>9GR_yQ9aX
z@4M8cp_M(EKc&as*W3G*x;hi90t5z>q|uV1!jK;rNIx{blwaA01j*JXS%#tx5Ea_W
z3u4x)0KTs=Q#rTl_-J2dH;mP7w+-R!=s$6zYJ}%zW_rKBdU{JYEigvu(G|)|CB<Al
z#UnVsZrr#5=Bn%T6kAM4#oyc0(^F=VD~CqMh_%sL-GA_4etsUP+uk7{iggs|G~KI#
zZe9959yr#4Eiq#?yN7bOyh=eKMnkNmMN2>)c4%6zD0}F=hSeT&8J)B$=rdmR-?;ZV
z?7sQPLv8J0Bi5xkfsmHe3&kn?g17r(@kCuB^tpI=I4S{)gmr$o0HDi9j6K@erHC18
zc1dbkq*W=}HFNWCu^}ck;Dx&k4KV}>%AShdro9qoj8ZWJZ5fOAmN>?fD^}Z)gW@7L
zC#V14MF>Qq^TxcmN9kz^WjkYj^K*0U50)zwGnE9^e{xLbKzdGH+pX}4a!_2$2$z57
z(j+b;(@|_wzFj#K-l5X>C0?R$w=iC+-_ySz+aKO>rL4SM3Uj^w0fI_e``At+%oVwt
z{XSqJ=k;IBR89-2v8H>ItZuWG@t2kfP^tN$X4iR&Dcd$THW*Tfn=L(mI#qFf!@nDu
zA9O=J6*FthO^NT>w2}&UdV6}oM_pU{xSslG1^zeJ)zxLAa2^lfaos9NJlyN4cAW@*
z`o_p;xqP`Qq(iOJakIniXuZ}Onhi;FXHotN7Dc6_7`;yoijgvArPlt+UkuozJ^rk0
zXz9haGW8al7_eVO@+<?n0qzdgtlDL!-tz*v;K52g$E%;;w}+hE;5sgwncDG!E_<sT
zZ_Lb&2bW!Wo^zc>Nk63_HY_c4*l#l_eQy%GjQ6)pVqK9UCN*I9^Ng1S&&9#QAaz^T
zvDItnB!$^KkYrILBgQH?LO<=Q*5f~X_~0yf43v1vKoJTh9ojLSnUz(svNrYMs;S*b
zybL34E6H!hSKnDR`mYBy3s7}X40SHr`iWVq`D(5XXx)|_?c_9huX_}spCXs8#~$6H
z_u~MpFpJmeOchOHM~P1D+ajZ$;*yfcg_T(uH%CmW)H^~f7MokXROXvOfMSz_2V|34
zPulJ<aVh#$EF7IwD$Mg`vTF+NEW|3SU6_VAJ>e?L#Da0Z<Yq;=Ktfw`Pe+hcW{_j$
zki4lQ@Z~|*`MP>~wwExPIS`;Bjpb?PK@3X$RKQl_=aVy!ei<2qa|aDoEgbI%aXf0y
zgr7xGT#~}f&Cl=e@4u_nxgXEMeePYYJwH`|X!C(BbSYldb7Dy~F~oy?3T8vaVXPB@
z-Ft5g6n*6KR2C*~uS83}0(KSKU2;c#4X0Qxsk~tkGo}3!dLLe1USrK9fTCylF5pxc
z#()Qs2lo{iM3$4GYOX>ayA~jt{5&Ph1nc#}f4FjN)!xpo#Dpq6fhaxek{z|w2Qht{
zUUNUw87tPWLc3AbCp{~;kUoiRnev_e_~`XAiDI%XmhaB(!MC5n(>CS0Le14}wIW;N
zt90dP!9Zw!X{p=h@B?E`)JO=_io%#e3#n!FOA65^PwEdEt$w}jvd+%nmQy9^zL+P)
zH(loijjzz<=pGCPw%^L|!Cw=?R6C+Psb|;o?2KP8FD(@_8EFiITk)3j*`GNA-nkSk
zvU<gnl}WpbpDM`jN9{XYYWoongs??hwlSA*a&m^13ZvYUcMgw`=1_8HRh1xyQv_~B
zmO(*Yp5)>=nWF)PyMN2_1Y#L%@Z(d~3{wDN%0Xo@E_WaD*l7r3ZtK5zBAL~d4){V_
ze15dCR`Y+?JJdd!)HW?&EFS9+PZv7gMcgb=gy!=3nX&}&ln;?gIU2h)IE0ecvrz3?
zm1@}7*g!qWBPD+aa^lnPyTCMECd!oE%ZOIaro=Woj|)JEPJs|@7W2x^ZrfMwLvYp1
z!FtDWXOL^5?P5RAkbQDyCSzhp&)>fgzIPyml<m!B_AQX3%=@7SnQ)gUBhAO>bxNe2
zVN4;D=|lk@6sEqw(5tJdiQ4O#>g!MPRILV>IgeA0YZ5~-t1$3sXdF|JPHgb$yGx8u
z+!`r7uY0KZ3Y{$=2dd83h58oBLK%k5E`^Q<G4!8G2bbhozCg{wi%?1^-J7KNz=8Wk
zwEK2nrK(nnW6qr&%l%zn)O6PGTAEB^J3@P#)6oqgKd-;(&QjgqUao#U8wbc+{Eoh#
z>1%XX{&$PLjaj(Tz**Q;1El-S#(l9qio-x!TU(p=Iu!-QH>S1|011dksTu$=$5SNx
zGl?WWKZga3ZLb3iI&%Ea6xs`q0bjICtnVfyBv{`!iMg?BD~3Y-(*mTnP2!*Mx4NU?
zGY!bCm_HsI9P}on9?G*={@t|eH~r`2cpamZQwQ%MMR3TcLf{So1T6OUCM+uVg_)?w
z<S@#}4p+G@A4r6!8gg-QP3Ay*R`M278;O52*#{Vw9lJ#v*z1`^OhlyL7cyJ2j+3wZ
zq}(>0%&!r0cJu|H4&=`vWU(v|?BAFeW3NjtFX!WjJnKDSEA#&#<q#dR3AB0zece)v
z&1u_7kCmWqGAQW7%K-{ZQvcuOm?VV1Si6$z6V4*|{uV-0gvp*z?aLfy-?@lZ?fFU6
zAV@^@pZw`Ez9-aOj!)ED3dSmK8LIw)B8|R^4L+)$cL5BP7TidOZDvjEtGEP}{FCV}
zTt=H9Z9toVkt*6`kx~oRRW;%TMXe6obpop+xJ7vq1V|EdO2u*+DY-s#Z7b6>O$?S`
z)c1YmLx0mty?mx?3c^y5-ACyZIb1@jpVRBvl-qY{BTRnrRV!f%0WCoC%A<GzXSsv)
z!yg&~Kr1cfyL=wH-zf_7sap{u0cc`;&sR_%3|$zJPgihq+7G<sw04#2x3(BvmzTsm
ze=qe1$2YGOCkiZ&L^k1W!5ks%8PP(D2to7`=8u6$045lEFPK>fLt`{sc)jKA#f$H7
z372}m(cAnK-z0+@>B##MP2Lu!lHI{1Hd**#k&;m3yZx324(>Hd%I0!lirB7x^SuGy
zHDX(y-1!;;Jrh}MRQz;ki=JR&2jN#^xfIN7f^N%W>7Nx0>W)M0ThwhILaeL%i(j|_
zn5Q8okp<smK-d&iXnRe~!}+Gl-NJmPwtOZmapua>-=iFjj!xJ5?5@MEz5XLGzBNVI
zZ#n{Gk)Ji^GZE!6DIU}o4_Os`ED&yBD|A-!6@zN~i7z~9UEVo(7X})<iQ*~vo^NyJ
zU8{wz1wfs0&tY<`%DRjNkpPtOm-+M-GpGwY(JvzO7*YbbKW}?g0RG!CX$jHFkD1wz
z60)6~JaSk~JuTloJc?+v;?C_$-kwD#Roc~Q6!vSYst3;~c}WPjsJIw`htlyO50xC+
zHn|1;U=tVhTgmx%^ruWTd${=vnzcW7R15bN3%KlUa8!uU5CcJ2^^wZoG3433i+5h5
z#f52<=7W^>jn&t#;wkv}KsSrSRR+B96k@pk?Vq1`7iXJM&J<uOBj{p$RFd#j!zKE#
z+JjD`Da3w_z=K2&Jnq?y<}e^5yQ0Rk^mpJ&Exz6K=$F*1R}_a{7YQj*&d%q%JQ}1{
zB4>Hy-#o6n(GF+-g3voUq-(p*cf<4X?_$zE%({G3{3x0DX0TTaHdk5M&Wi^K*?@om
zmdH$524mHd%r{CmBbgiK?;6Xq8{&y@MXFC#=UTucvydlFfoI}5Pe7Ez$HBot%l!x&
z(qc(esuh2hhS9amHRp96a+n5$4V513tcS;`dbV?fNrdO#LG}PCh2#=M20EdWWz@kI
z`=}`SZV2{jEpX6rO8GScfoweWGrHJ>@Zv>Mp33cAXRTbjEQD;n?g4I7!$3-C&!LgB
z9o=(@DA*zflQZwgKzc1m8G=dRr^GVA)H|6EZ{9>FxTnt2vRCkYxrDG-C+s>(w06-}
zSwUgO>-|`Lkkj@~(L;qqx0X1lz1bBZBecJg{0!@44Jd$&<woyXD@&wuTS{28atzCm
z`x4$8Fc%~v%vpnfP@Qa8Aa>Ez)O5?S5(sb`U8lS}$Td*cLQ6$7d6F4W(?3qtKL)#)
z0NH>pG#Xe$3w8VIVQK<zoA@F_Fy{)S+~<{YtxnYKZH~}ag=Pw;R6W~i4|nV$i=7Cp
zH5!S6vaS*OHw2x(=jO`XQ8WhNLy8YoYF-+cB%)eD$-YW8T!ILM$t*Xa-OW;onDLrg
zWvKt?$0FSk&EXxoi$YySmYks+Vu7injh$fH=60(#?uZCxL#KCWt6wm(&8D4i`l3(~
zA+RCd$XfT^j+dqeCC+z$jh@YiH)T~-Re=YH#+b20Lf0pP`3a`nhap7{@7H7qnC9?s
z$JP;C1$i8a>wK19GBb^uQ*BckiiLYbFe#HRm!KtCRpr{X^bs6an1<&Q6g%(Eb>-{M
zd#Es-m}rP=1o-N6KHCKq1B2;eWh_ba!qU5p>5nd1^-IeN*zRQsx=<+JCRtYA<9pTx
zX5&g0C^(bnW!vpZzLtWeLK?KF>mB)7x1R<s^cLn;W7<<h`j+31I*V@JC@QHe%dM^!
zikFTo`9X3=`Vwy^&GF0iFY$ulBf?|jmr<x@i4?hFlj(C|(bTRjz!}MA$8K+KZ$~B<
z%0s2TPX2StULvTbymEOX`gaT@oG`=;c(qs}jRq?^euh`6{YZbAh?i~H@c8q`w#l`f
z2CD&!<+58IpJJ+YxG%uUoa}+Ysgy9Euz@qC-!$WAEK6t0w7>&L-}ZHi<Gl}iK}y+3
z9oBl+rn9jC>U0VZT-3u}PY7NGU=XGb+Vx(47in{^nGz8NHFJFC3J?YQT1p;MxTwD6
zUAOGo$>vtO0G$PhK<q#`)=VHhy_(g!(Qm1SRUf&3=Y|~)8O7|>tF5w?u95PvgZqz~
z^Fl6?yVI8c!MnG4d=++jsS6&C>Ez)Ou#16>FUeVy)PK47vS8VV4STHd6yH!KPOa~v
zgT+*h__=a>)RmQ$m+r!6Dv-~_T>=+ES{AgI9&i`MI{doJ@auArGR9ifzHa~!JxM$U
z+%@j)iH$w%+2pgDvWAugi&ga0gC{F7sftQU-QC?~8qQ-ls1bYTI7n;}zfYPLsi}0a
zzhY9;=gT^#F`Fa_yt*;3xMPb<fGpd07W9Jlchtnm9hgWv%&2k4x<I)qpZ;g0&k_O~
zB*cu24-{b7Uqq0AC<jW3w1#qxoO{oDpyyv%>4G)dH<rNXdoGT-gdN9Bv9ighlV$=D
z9aV^&R8kH)l?4SH!D79|%xJF{&}0HKiG#0mFhA>Xf7{H-MEm|NoR*id#GM)}efbv0
zb&Z=Kq>JY^>F=$8AjFn>au!i2=K&!&FJ=>@aLOB^$GXFP9EVE}A!4Sve07qM2{Md{
zF1#jIWe_#UnNqEeJ?cL?>$d?^d1zJ~gsI8L$jx`P=&^$*s1M!$lgJ}?R!W$JNHg>s
z)^+h00Z}xM+0bl2J$+~kLWf~!=~}Q66ZtQ(w)f)&7g<4)SF<y^4-7nAJh+K*pUpR+
z+%$a0dzF4Z*<XZm>DTwBcnGa+Z4-tVp+!P;??T3eV%wi{`+%!kypTPcfKx#x36HoN
zwi6{i!IeT2EEYH9N6zyVv(bh9V;FM{A!6xbpG$u3cvS$TJz5T!B6W4Akc5B2!Vr$A
z5wOZIMF!}_oXy-&q>V}8gvL`F`$gSC)}>8Hk%sYLjp7EylBdEA%iBR)`T&y8P&A%D
z5ZE5za638xtreiO&~1PkZ4u0|LT*Q($a8uHTg5h6Va2__bMf8N<j&m-uW)bEY7LQJ
zE>Q+}*Z2`4GF@!&xt;d*_Wk8*ZQ-Tr<D;pmsZhIw2X;#`ZhP`XrOQ?Oj*gD)--Hpa
zKBzg_Fh-rRQc|<0;ddBFo&rYgh=BVA#@t*&Bz(<&IGQ<^lGtC2A!CX)N>f?687UL!
z(%=$LsT`nS?}+7Dh8pMEv*TE^s?zlIJE1N7TfMplvVgJV19Rp-%Zl|V{x+d@<C-Yu
zltKspn63PtY6zAf5fSgUO1pVQQI1PfQ7UqW6Yu?Gk{=}~&l-=`!4%bQYvLRaSataR
zKomQ5?_ON0|2`FCv;>5S0SKQYwD-DZ$<G6KDX*?xZmzXfR6_6uZ75G2Cr@pQB?>Cr
z8R!F0pLRIr^@5X|duw|e*lkHVU2HLSk-)nig2I9Z4x)GLLRITF6A-E9>$UvQcI?a7
z-yXCZ?#@=1NrS#o>bHkC*^IiGq%c}enYYLC){A|JgKov7vIyGQy0{!(r8AMjB!Tqq
z+KtS&CmU$!4&^UdFhXn{r1-@L-FRSo4Yro85mb>t#`+2aHnmWHP|pT|MM~;Y>`(X`
zR{&=X`F6oQDXR%q&4r($ybw94s)wPn$_=|qiXW2-72Qb#rq%FEY%etRiDqYJD0U^t
zA1Es-#*3<=P@lvwoI%Y`5XIi@ODogyb_oYIjO9dkZCL~n$tj%A7d9-&bt4(QHj^Ag
zCE#dHa|l1w_#ZCarr!NwNDiNb<Adn65#?;P$?bj2?1q8RexI|T+gkgs^N|;&De#pZ
z4|V=#C>m(coV;0nPz>jw&=6C#Rg~-d12lhbyOWWL6XxGRS*_u^I|-~MSuhZE1t0~K
z#0NwKP~a}*EXxLZ4X7x)^{HPnLWdivQn4V2v+vW7%vQ-8gF-r}@g*YrE4P|%{|l$k
zuCD4mZe`4^*k3AdPI+^3<<zL>XYA|Q670u(bDbv{k2kfCY0)73qW(G8Tn_E^<Hg}4
zsh+3z>%be}kbY@>3Ol`iI7VKrQf|B08qTPhLp(YR5Lu&i4a9QxAbzXVTBf)Hl{iEW
z1)dK?JCE8TS+%R29qz|#m6&QeIUzyIM?p!6o12?OHJ^s!VxUbh@@|x*O&ZCF-`m=e
zE6N)8yi!hn=T7n>;Qq-g0ya38F*mlmn+^?NhF<9U5_E_lRG`_-hWLY;t-O$)D1@Eo
z{x!o^9Rlmq9oogls_fDH4jsbiJmbFn-Sz2Vr{zimCGaOWE?;$UUtU<K06JJ?0wi;0
zrlx`p)1_9^N1%kf5)6x!`@IqB8uJgJ`2<M<4lV(r$%BhVOQsH7ffyYejQc;~x>3B)
z4g(<_h+I34hrJ>bhWFOyOgaP(=RhwBG6fw~C4^kp$)GfJcUvl*7M|!g%Kf`ZB+$s_
zZ<JFiDvW3oF)TnZOHyEq;Vk>`aV+<O%%=D<(O)|Sxym<KFBevU>Y~a@%{z)q*KRz!
z6W%t-9_?=!GnsQ18n$4_4{R6y2^kMkfYzZytCyGx1mwdOodL!Q+Q*)8-Rs5S&+c-t
zdd9WVq->ig{z!+G_0rOkWzP)T37WK@ZjU#s-0X(Cwgc%Ru<}qmTK1gP$u9@an^Vfj
z(9oirx$5|E*(e6GSYfb`K49~hRF{41FjYN!yXoyg&#IkhfsEsOAO25ocE{_+U@%bD
z>6I{xQ}*YC(KvnCEOODxEdf4JW0Fr=FmV`q5>wfW;?HVHQ#k7{M}B6hxEU%&^Qt33
z6A^f{b9A9Vuj%9eW==WJY85H^*bA5#Bio|S>WA-rEx~_zg(k91HA0`F>Amta=s=(i
z|4SXq!N<&})4TOxk*cIWfBbjd?%4V+(iu{_jjC}Fz3&O4Uq7*@Pn&;em-R;H&Our~
z_@G^mr62m5L-DAu)$~2I7=hzr$=ysF0){Vy^|b(=i~4+Rd%LvL%vqFqmD^sLn>bx4
zEEBWcErS9G8td&3WRA+h2hU%5K%NMRm5w8_jTTLRRih`su6#5sq-A2Ohmb%|;^4Es
zsu~oQ#qr`PbU;N=2!U>#6#p#rj>#>#!Ag#2o(kPX2MO+hEk1qPg_vX`&V=Ava8R7B
z1w23K0Y}$&FP41gr_CwjfBC&(dOcu;?HV*WiSDSRkQ2v5aQEV(q)j^#1WE>N)m>aF
zp;4TjUAfh7RASu6UigGP`l9D!`eFPf;M)NTMrv3-YspkEHr^eW7UcOSLN@BoQa7tC
z%FbTgF@3UK=>&YC8Bl|O&UT!EQczeh50P51T^euzqQ3j@UubDVy)g^~B_z-5yR4(a
zU?SE)SN@EDz;pRLd<Od7%xZ-*jM}^6EglAK`BW|&otZghZ@`8G6LT{%-qgN5Yd2ug
z++SoAwCudln`h>>kG(+7lJ)iL%C0k1qdd@RXbPYVT6SpFmRRj36gpU;7us!^#iWt*
zgsJAeY-Dv^1(hyae+hrrawo)Q8%R$eeeHlg0))@PX8F1C!(3=)UE&$|D4hmeb%tW5
zs5(Lw*{|AHOpbX$3u=B@0XU#}ulM6>ZH<?h{BYdyiXAuS;70ETi;+^>+S(qC61v&X
zL1V>nE}b#wdr~h2fp>28(VjPz<4jNW(dKs5cI9}r;UFln=l*7jOe`NCEeBOMB2PnU
zR$;Ni*a$V3;KuJK$Lm7J>kT9_&Y<OIRsAb3Bd}TGwqF8Obfb6Lf$26#g$Jhvw@Yik
z^>=ozuGA9>9qo))gZs(sQu6vDdivuP!eh1#9}Jw3ir?NG(gaBEZ`fYz2gzPe*<6MR
zw)j%<gk>psIlMe<b~||bS(f5{qcLdqm9<?qe?NJ$wFo5oFtp6zHoHrzHam_FI%wzl
zI&)K!lgH&@cHy_Wot+(`W`@sH@BPg^+G!RFd?OJS>>4BpK_J&<(FnZ;xkww*7(L&0
zQ$S#dP<izjZ8zj#0A0%;nGi`QiG!N!M_1lTP`<<z>L~ELuI|uM{C$ZjIvdFi$Qg=m
z2tyQFxyr%=UUwaedY9IB=?dvk(il*S{o?8YrRsQIGnJ8%5w_B48;6kp^7%7RQZSbc
zuv@QeUC`cn>vNsoeg$dyt>&)(enNN$y8Fkl&uj}_z~q}kR72uEG)bT>F~6|jyff+z
zonrRrpP+n}x8!nCR_*~~fcS6(n_>mefH=c8NY6tn{9uL1G5gR}r*b=3g{1_h73nJi
z^?i)E%g$iKYa46pgK?pwWVyNgHkSSM#AD~3l~L>al^|Y*#EfXa0mVIe04wRX@{W3-
z*d+D^1<2L*Ay;?76K>3OMrt|ECO9o!wPpH|qgkF)vDON~SA}T{`1S>CNp3;GIv`Sv
z2)X8$u)U-0YVEbdgqfbM;o<6+jUQldfhhqIc{BLl!t87xtPxz2{Ngzt<6iT{q8?<w
zo@eRpgZjK2S_Wx}u1K#4e5+z1zfCDi#o}mpy7}cjqS?j8L0Bg++n!u)?FF~VaOEL5
z(QP*upcJ%VE(4h3D)T%av3a9?=(mrZlfr;R;A>zAkXxlIZ=++2seZ<?Yz~nwTljTk
zUaUWV?wx)HfjbA34=gI*MgTvY_pWb@fc`0ndd2_>-+i?i&Zta=jbzbutUXI!akMuN
zJ>uWrURb64$#pw4A}WQDbvyXSH+5?}J05QCD(Gc4O46f|P>=*;G0bY5Y;5MBTo(Y>
zXjbNeyahV=D<yp7!Dla!#Z72BAI@vDlHzy1-e@G(zW(zsGBLtZzK{<MKyc;2tsXf<
zWIwg;5DA@1j0}_sFULWV0WoR4meAE)Wg0-46%01Tq#{=UmHaOqC(!f5c+C+^@)*sm
z>??y)Sl?gVbW8-{G@O=<5@M1Jk|njvtPPEf<~8jGi{AXrc%l6!ai+%-?sc)RAPvGD
zjDtu?Ni|A9(+hgD8i1*hCOf&d^XfJ@IgEM;)$s^^2sie6!N1x-qJ1z%?nemQa{P|^
zV5A8m$r^(6)>`4!Dz4B@t&U?gz&W?${ow*RfD*XSIs{P<%!!z4Y7XKGmCd}P*5usz
z*s<~4S2WqRdU!nIb+6^6zH7gypLc$A7(L68CKcQCyc{Jx3s8w#a#_S}+s;i{L!<IV
zz1Qc(#@W^5{pw>Z2E$Q!2y+kEYPae*oudjLXBYyagm;r`nAe(=4AP+yRlsk<iFYuh
zM18U8Pw4#2jQv)hfyjiB_J04j=c`b6LwnMQhE+~(b%hk>LKe2ID!{9rQoAS!D`l&3
zaaIyqmJhxYqP}lEGn<x37L2rP*(%9B>qlWEA`Q*X#wI(kWD+&*#tfnWFqe-$&IkgL
zTz&^`yT#+S&Vycy9X^<vFnjT}(}iN+xe8f4h>V)0mijF&uQgeE0M}~Uk9y)#JAdPK
z0M!OBsGidSkYpkUynb?=U;BfLlT%}@YO3+VD+Q5X8DFmksTGAQaT+sMm@C=XY@R>f
zI?EOg-6CYS>aPu&+95+bz;x-o-k0JToLIGo0QJpyH&gpiTo}sr2v%*^17_%Iz54Ou
z!=n;ehKu_#507GYM0d!vAassh+sw?Z+7q_p6KGsr)MIy;&n}_jH6Ni7fcsY0FkL~q
zabc|cT@tKUE>ta*%?DOHHeOLCJ>GO(Z6x>Byt`}U051yqvV5H9<P+~Yl&45Ue)s_+
zGBT>Y<viCMdj30@zWN{m;%-w@6U@J`QNt?KEZTO!>=;ORAtCSJ#^ua|#t3vAGu;g+
zb2P*|R=)joitp!mBp5$5k0S|WJV@vW9&ipSOu4+g+}!0B`b5%T1UF1%C0^xt6?VOr
zivNQ1aFt6v%asyy>QQwH=RFu$u{!t*8RhJ|TI>4)b;^`)K)As(U|tW>l2|B}q1{hq
zXlSTfW<3joQ;4|Z64ufNz)T~xSHRcAijfN}-$!;bV^THEYtOP)tkj)%V+P==wCX+X
zJ?wqocA@vq1xo9^v{Gn0*Txf`Iyi=zSZ9UFN}-iytB5`Wc8=(U{W`S%(?53=(;bV7
zHZ!i6sjEN2YGE^9w#}2}eW+GeBn=xHD^i;`@oVhYN~u&TEM}cMtwj3hJl-Sd(df~(
z=|vy@<eT0-wBT$qrU{kg7F<?7I^V(P&~BGB<~+SCI1E+dC-Np07(G%`i^-WU%h^`1
zJda}gSbN+xQehYSbJ=yf9JzPsvk*Xyz$AMNb3y*1$w>?>+Eo?9&(7`f=Q%;1+bHAA
z+U(b16B8!$)Bn^nX3k42G2;6gQWW_15`YFM&lQ1-RaM>n$<ZMeVhwogq)}};*fmJM
z?BBTcXMB@jBlaHM)v??ZC!EK*i#U}R=Z^_m20MUP<Njgz9x0X#a2{R$Sc&s6U(>cv
zUqnP?<5{2cHjlEFgTA!1bhQw>?3yvn5NF{RyUU{2uKP9mGta-{XE+r?ldV?NI@56s
zLDY5n!Ej4!tDNE{q1#S9WU4>$x^^W?^RYJDe-9mT@qbcK!wu}qyMxiqdE5|kb!I5I
z8WLW^!^4xSRay4wlg?n7%`-<3Pa+2eg|28?8H^hWlKBAx=n8cwr}_SUG`Q$IPqu*b
z&bL*m7cWM|9<#f~Sq*7Q4#@+vRM)mF5FQZ$3wQuX%*Mnd+d^#LmxSKG$)-thJoZuG
z<K-)CL^tkRe_d8=--THzu_s4G*2?XKMv?m?#Lq?^Ja`a9EhH$L;tDfS2nA4AR|nb_
zV}&DRAPA0{tAl`WlNdn82}$>A+cKCbj*aYXbo(yor1k<SA58133NBZyixPLh3g|6V
z9=B;9vHzAA4QBWNXf!cz!gb;Yk?u-}1k1g$ylc&~mrPqiXhmxvw<qpt4d&@Sm5{hV
zv}wZ9n+yJXE$9g3RvdqN%<1YSM%=c`hkr$LG%wo9#Bwvk!NIZq*_(>pagXTv&CB1R
zo|O<62h>gKE9~<c`i4mN{wbr<zdNT8v$frV*)Li&U^rKOrbhrrhp7(Of{(Y4kF;|O
z#t5hd4<G}QblUW2_P8`SzFb>d^RF@lVxt4JH%?lBjT`|rktFO+w1mc_Zr(66G2v1Q
zE?4h!s2l=5E83^nxNmK(jdlAlIAMKaV#0a1O`9$W85RWLfq)r^2s4$k(dgJ;wiqd%
zOSC`!{832WuUUqS1+>EFVJBdDh9m6XQHY*CPCVXCgn_fKSy>BIe862pNdQG{6JIU}
z=zz^k4ibFxWeLWg4u+2phv7a?<{5+jJ*fM87f4CBlR#WhufkXbLzK9sd|X^bpcWkS
zV?Ej*J{|&gp}&6*_%deAGEQROUgKg2I(ieU#slA<M@&Nb$m%?L0SagnGqdHHnH|_c
zNX{WDOc5(o`}B#<`Cq<Ffa^IxMFiuYKxu)oKq|I`aQr%ku5Arq=WmyFuS=9`>+5{e
zNL+(-17$t7v$Jz(=m<u3`PY8jhH$!EDso(XG+(`7>%@5tp<H&rgF)U=SW<EfGlAbH
zLL~gr2XJo<^P2?s+95+078ZtC9U+2;Zgn$+&Q@1f$MJXw=?J+2`1kbW<feK8+sDsa
z@(#<Syx*4oOAAoBji{-v4uk2KK;tfM9lUV7IjH(ztqlfe&6Z22sm8T~!QOGH>_-5Z
z&29e#))qO$LLf1L5U%|5XAd6;yl-8Dp3Fx?M>`xJZoAE^53_eKmaArWBSVjkjg7a1
z4E~Kh9zYTVHHsC4qb=tKAPJG`@$*K+yfWaYy-lE?Kn*vb#}31v)pLS)K|auVwOi=5
z0JIO>ksv@G8NfX^G17^GhlnZ$pdq%uA5o_yL{jJ?7z^Ymd>c1GHWhf|foa8Rlijcj
z!j!?(>5@}WpE1?m`zKN(ZU6vDf^VKj9<rS9)<~S$P{pp(@cs~hl~<%x0}j*iNS*zg
z@Z7(^<KFr5`ZWWl1j4EV)9)}*>gVT2?X-{wwM<%35f?M_B1nG_%~-ipb-(}&JVRNu
z`Qvs_#qLxr1fbd3Sp>)fD=Of$weWr#VdBV{)i$PL&6b9%tMl^mQc?h_laiCOYL;!l
zmlPy&o2cdP`+fKT+W|IJ3h*y4E9>X-cKP5^TwEMv<^dSst|Y)mk|B@*$apSNWH$Jc
zd`QxJ^-9ZmwGr-ZdaTjUoAQmcG@|k=fY2m#v>F5x-q4R!Qv5r=i7X<xCRC~O-kVN3
zE**pmJy6gfK7R-vh)iwgN&r=W<>=slA`E<<8$dSiqXoP%kaj@nhfYF9tdSzI>B03A
zt8i}soc;trRS|X(YV+ItxCC@DpOs1}nQ<Kzl_<(^mtmT^6CXOT$l>K@Wtx@2qF#Kl
zZ~qU+pEE<RCzWMoe{ah@e;&O0YhxDkl#%J*J1KJD?jfTQbt1TGHSnzHu<UjXW%yPS
z!&c=Vf!8J2|Mph&N%;XFPNz_%9Gs<H==flj03SX<0*yc9h>F6;$A^+HV40b$4H+a3
zGULayhd>;FgYB3>KqAzV9~bQDQb%c5fXRU^T;#G}n|L-J3vBepzC5y<-^NdPN0j@h
zdHEocbYU=gsy+U}P~Js#-s{{Sjyt}Bbfd3UQsv3w;|>amovTlr8|)vE1Nnb)4?AA{
z4S>i`j;2moi5UoCaesihJ~?zQgOw_0sRaLI`>)@yF+k_}<cK=+vF1N+D0%uBKQ1K0
zzun!$&mrxsCH%W9lsPxW9KQ1_<d{kjaB>U)H5C{j)NOX!!_;>e8NuWGfqNFccKhE+
zYgEm?GOj@Lnhq`U{N(M~>Lr0bKwo_B3;-B-a+JLwg#Ivc)X;ov5P*gka<B<&^!<9E
z6mV4W_Q{F~^`YSl{+rN}M2;xb_s5P##Hj%RM{#V@vLH)3IoR<2>kX)=GynBlwj*AP
z@cCy^Dm=6=<S59+pcRT7P1N)`T{HA6On6px_E)t|Ybz<GX1wVL2Bzot&a39Y8<nO@
zRsX>U@5Y5K+Ml|pHGQ}FL+@$9UU9~CvNaq>Qw{vY=iR^a@k&@ow=jG*cy_1Fd)0&Z
z-+s8SrjZ0Czo$CK_2-N$go|eZ$O6+5v^y}7$t#B6dzGgm{QUZ|4>UBYXt?r7zMU5G
zyvXIDo%d3Ny&m4_j^|;uw7nl28#})G{azh~)%|$DUatxqoON+PbHw{RPSlN%Uz#9M
zys7N{(LdVRb#FGUd8ZUUZ7v$O4sAjh)@aR_U!_nU*SH*IO!w$Zsoz^qPfr4G-3r|^
zsHl8vG#8%K!h4#Zc;ot6Bs&P*06uZDPIR9DwZZ4tD!DXGzBKvz5E1F>*~m3kh5F}#
z6eKB*3U%`t?>$e^<7E{hqZRq{F((tcL`2gSrKP(gM=?3vsZ9<+7Wj6-3?Zq8Knq^I
zdUc$F2E<=YeCf^`p(Y9M`Ce4~+ck8OId7Js8vj=G!XYN}Q3g|H9&6rh*l{u9colxU
zmg2xOuK15mBYQ0@EZS4%T40Cn8f)OY^MSqi(J54%2yY%Q^&zpN0J5Y1^*(=>ig6eB
z%mxZw9L;kmcOs1M*t6c;_B`DGb}BMIPai$`V`W+rB8xa0T+~N?em>fbUL2wD|J)ZE
zgw=T}G$hd`q!-+#h;{YsIv38Ky>sWzIOz@ObEU0+3Hxmo_FLxG$(oJm_Vx8yku}}j
zQuITMJoz%;z{e9E&Frbi(PzvJjq{;<r%{rsaqvXVKZwL<(k{~=_P%n@yFNHJwv8gQ
z*RE>{okK!$rfCPRqLf+m?b~H1Fxn7r5?bA}35bcD+?TtI13wi+Zrk#AwV#q0-riKn
zRtkb1x;-Fk6is+S9Lt8-NE-3KvtOkPy~D#}r$P0L4+ir_%~g7AR3mN>c+-ql;-li2
z?Jc)z2zfkUMAi++fNhW$!54O{tyzjZXDOWsf#`J6#S0Yq@HH2ohb34mH@cA4UzYtR
z`U4rHk45($<}|dmsr?$uo>J&i1<^AyN|5F`pFzndN;9=T6?&vwA7}L+!f@9rTPgF`
zt9dRTjHKv!JjCz)tD!3@pC+vs_V=rWT+)|$nijp{-vgff#J-TcZhPap-wC2md!KM=
zor13f>jFd(%Rl`+(m;Sd6|vJ2fF8*4iM<_l51a0Lz?Xwa@Lm^O2PO#wwLZ<`MMXtd
z^tn82KZpw6AjB(l>$uY=%pJ>2Pj7H=`V5NVf}>^G?}8WY4$U_ZQus#GHlWC4DnkDT
z2Kp6`ha*UK0A>%ACP)%)kL#QFy1-gtZjJEnsL=S~W!7Qs8w9R&PV{KaG!`KT42)43
zyn6MLhzga;EiEZkhhO1CXDcuE7ViMbl?Zuu_Uu{K>I2Jd9r$(<0Pogg4S3^0gn~OG
zK#3lM8rPY$4uX$+I*fS{Kj-}E>&R2qWAj0TZ<?PJzf>b<)d#-Z#NS*ng?I-_W1Ic0
zMWA=UA`zCV%6S**d9egb(&Evr086Re3KL$Ngc?O}!h<V8bRf$B?PUP7$A?LNEO(ii
zZ+MD94Ac1lb++&qqeE(W1AofxI8WYbkB6V&J20*V5C^yD!ECo_iTY))lJqMmIzefs
zoFLbH=5MRdMhI`**K@}7_S!>N3reUXfFDR9@orp16kS`rXSdidA`F?$a9d15q79&#
z@64z-_0qzE@tZd>LT*(_3<!zyx&i6&$wvhH<$DZ;v!Rm;3S6}?g`xB^O3KRBm6?_u
zRpU-uH{7Nx31Pe-kV@b~>SL7rWrL8Bx!uMn#mPGJYT?>GE8^$ofvfWj3=AsOu7^XF
zPJmc}&^tQZ4=7szmK9XZLRZIiQlriY9lSO*rAvDI_U%$IZ0>SK#?-{b0HiTtP`A25
zeFRAPXdbu)uDc$P`f3#Pi`0C7=*?B)Ciw79zq&AAHEnFQHqkQZ6qIr8f~YWUyH6;?
zoKx!@GhL1$k^m*?F!s&oQOQkAWu}Qou?e@ScaD!lF%hHf(C<vdri3jC-F37keM=b#
z3>&V%@psVI8zj1L)6-AG^0*$XHoI*kQ|s&N2Uv*7i@wEkR#&Ga($~|o4yu68kMIUe
zKa`e#nuofAHff1@6&4S5xMt69H8oA$tDM{*)*~b@W@g3y9G&^sk&NobKzBD8f%o{`
zbvxfUH~z1gkDt27aaU#~HI15YXh@xMZ(;dzHsO9@S;xw^`5@P$&Km;9uZc{IgtiaP
zk6pU~$jfD|g&rzapzi}k4e=zty&w9~RSxvpQ~#tr0FKr{Ah}1gZy6!U@L~hVtp=BN
z{qXq>f4&?~5|h07Y)YDkPyY2#UERRIz-pkybtpTOuV>8T;|=yXmFNin=7VkRvT@;m
zjN|@=t?W1bxKV}nRifa=m(fCQf<*EB4we<V(GA2J9vv+$K%T*bOAU+zi3o#~K-BLo
zeC^NI{e-|k0<^e<1Z4m(V$OHl+S*9Yycj~?w;%aKuWQ_X;QTBEs-%wgy<HWi)cG$B
zzMHd4&3tz(nvj?Xlc4-bIPRTkR%D5fHD~tOBRp1H#>Hr&YFJhCzrZ*`8WbI8$u&l-
z@56U6X`%0ex81ojTa}idAL8?^5_#@+pL-FpvGc3;P+cT<eoZyZXL@j*Ah*ZKwm5e@
z&M2nIH?L}TpPuJ;&GNhY(QnVs8p1`nu@6I0HSg<u6<jt5qkf-TAiAHbpa_$eH<Jzy
z4psy8i6z)PkU1czc=G`@78Y`5{=IhojL!@p`ela>=&AU=9<B4d9R#{p_+|tc-7_r-
zvLhuqtt%O!|7gVj`7p5~n)oalts3DJP*PID!^O49ZzB^ixv{YUdTbi63#jB<&!%gF
zEbs)TD~1U#QA6jUxS0FVWfmyd^85`xJX@)cf*$xb)Qp}?Z5bKY`t}heJc9oBft81{
zKm@%96(#S9ub|=-7i=Hg&X3wt)r}N34Jl=6t1SBsd^$i0=wt5W<jj@S(c1}U3|~@M
zHodO|gG#@DvnhGtJbcTWcZMK<vQ>HQrR#_XF8+lJxusJvOTh@foXgC0g)i6fZ<-cX
z0LdEQP2h22d`wFxBcP6)Xyllr{eD_T_;{82cojH@O`x=u6>W|VcKyg%mmD_#q{{<|
zbsOzmg#g))?(poTiEYfeSr{8KKew_tTKs{<KU1zOJ=5!(8dD%-2gbt*o2jlz8tSj;
zBrQxAzE!NuN@vM?9Rzn-+UHOguhPqH(qz>T7Q8=#VambEmfOMSiQpT!+NRg9-iGh{
zf!YyUX129|2o^f1?CWE71dVv4DJl$-^D~d2ThWw)kg&e=2^6&w9z--N!eNn-cF@G!
za7zFB_4RmD!0l+H{24I@l<2SZ_=@*j`1j7DKpJ0lN#~&jjmWmYnTqBRQ(fJPhCAac
z-6Vs5EPpyYdQ(0ac!o*`JswA^Tcklb6_=4=%bKu#<DT5!qn|NcM)h8opmW3TyaS*0
zOJV@90!vf{B_&Mq+%KG<_<V+B2gD6<m|=@eK00wqsTaN`BD%qAe)B~0iHiHx)zu{l
zU%R9yN1Ea!d-**O1^)j233it4fJB-YUd|abI}1-`)PNE(XI_;2H7d&8ItDNdG^l><
zFIILYN}W^*>C-+v^O}{8MbFs?lUZudR8>?|lwW>%Gj1JNmWHVlq>mPV_ROMGBUr3K
zWs^N-eOszdQIQsHGcurYMW`yfr`Q1%#mg%rPQEu9@w;A_JBfJj^TPlHwbzKTHG#fk
zWV({_&f(4FvZ$j~g=9)fls`JzckruB>>oN?wx*D%n*Bppblr=SYN&<o{9C3rx&XZU
z%jNF$GkRTOAz!MR+fUUr)cP8>@ZwTY8l-;Iqg}~U`PqBnxq?F2m#1(cl)J~hDcf@L
zrVDkob4twy+_{$R0xw<!m;7F|4N|s8v605n>lZnHms-$4Q;MEWjE%*v2LUNmDOzS2
z)7{_yW}$JfRk?~iWCuB!4nr3P198>_KgBMOg)vB6SePt;ul{F72zb%n(5V{XdS6<7
z!ivC34*6y_;+?&{y#%*EoY_5M+5jRtL8BHbrh%M@?RpXe*_A7JZ!ZUkZtrK7H<LSF
zU?!7z^vHuD(ACZeMIjOw+VoVYPr50NP0K5|1}WhNhs}Dwflzta7He`iWXK*3fCnfG
zJ7|{qb3R1QN^z~Aj~@!Wtu5QgwkrXmS9QS*CM_K*wF+}_qIN=xPX`h2rR!4Q9RTT4
zUOoKn#S@_NIuMMAqM!t|Cz+o`yA)k0;6I0q>$*SZH(~h8;vyl6xIVN%`-am<TF9B$
zUSLn$o;V>asQW##^Jm~YOF){v?Q`=yRHD7Z1Z-!`6T(>j54OHCDylu|8x#W-NeKz1
zL!>(ehm??RB%~GT6i_i37(`MUK|)$UT1sG0QX1(H21H6g8s2@p&$Hh5!#f}Dx@+Ba
znKLuz?El`s+FKI((>ZV8UPWkqk2&NWo-~1s9=?&%=5klFkX$vKDdjh&rHi(|B9$}W
zy~FeTgBMN9E=@>;i{fX;yk$u}{cmi1&w4c+GzGErxlR!wTHF2GLMkM(V&g8W;sc|j
ziE(ivuSriep5OQ>lzf}KHupY?@UavFa0~}9{sPnTWrh!m=2#$5VG%z$k*oMVI_fvA
zY<3;Sn3NFRltasz#z;REkSSlIoWW<~)llI~*F?T_GR^6G&~2MIS7#L!tzx{H{>`@3
z=?MBh<0Jd1MK7gQ2u4zF$}&T4Ylf?Mn9He|WPSyWnvBraL1%DpuiXH1mh1AX_n$sd
zNFz2(yeM{th~?z1<7Il4ei~BF&}UEx1gsb3iG$$~xd(zN_+w)$h`g)eXsqE|sZ@<6
za&X<!%;30i`fZ!wENWm=N*piVBkI$sp57Mc3o3k1g8=D6+e6iu+8?S^6#gf7T71=N
z#W>3rdBa$CtyP`O4#WESkm1r<Xb312_!(lNqO8h|l_+@dE?v{qsFs8wCklQj5VNRu
zTe<-`jVKu4>w}0l6La$-j&{f+E46NWEf;tnR6(?&&f|6d-h9-ZJv|LGFKNMPGUp+o
zBrO6L`eb9)s}|SOIpO}H{wDW!-h1yv;Yin<eomF<Kqsn*Hq8`?D;Hk;H5l|J=HdPZ
z<{WWxal^iI)H+BlOkRF3!-`3QE9va)gmHuQeb*8octCkcZXG~wTrN<>!R{adh57^Z
z97Evl3}6+jqvaRbbK$)kV`esd4g(uhemZ!S-(cfNY((FG`kSqbYw4ohyq%2=k++6=
zKm31Q*JNmL-0wnN$wJ)A-mOVbeyobo)w{{XrHXaJfAVyi&WGCcSz4aC?|dw33r6+`
zM?MtFx$*#ESV01c@N?izeHA=qs;^(+Hm};f2N3k=`1oTW?g2zabe%w&ArWcYBXC)G
z*o)SnTCx9DE!dM1J6G<Q@Y*Mid9|!nR#wt~BROMs)(W24adFKwnL-X#lwHmh&diIU
z8W-&F)gOf3S-bWKQnyxCR=)Y%#QV<MjdqX26mJCD@Hs-O)c}AZ!dwE&ZRXx3{C+Ix
z_&+<cBxdaf7uVT_J%E=7gdT!66B%p55kwchu~heNapa_f{+o)|Tq?8#xy3NdS`>gh
z{__^RMlmJ3M}PYXng#P>j?m_maCdNP)Hmc!URyJZE_Qc}2s_CC^-v_KZH}gJ7k^qU
zN>@IDAn=#6%b9wB!?WI+JKEb<0Xq*2eD3nx$6_YxOUF<%m^1$M(rrL41F!U!v=`#*
z#Qtg_Z_h$(-8t_zkHhuE^IHSq4&X5q6T<szs7#K~YzO|7rGcKLgAW=K>~q%7NR^22
zZa1TsxoPe-hi25*A0y%zFdqj3_L<OSiyeV0NNmji0qO;WkpI__NmyesAO{5X5epyj
zR?PH;Ll~mb%5n1`&%Woklm!-|8#kQZ)g$SN=yPI_rBG@w#HG>)GKG=lKF|w%4mkJ=
zS~&JO1i9hccIk$P38V2F!(aB}Hy9o(J6$q*g~CHV;rF>?;}u(g*JOXcLW;K~ELZcL
zxblWk!}mOH6*4ts92?k-z@DrtGN)RK`E7BK&Mz$do!HPbHdaMl0~r+cE988Pj?CbI
zQwXes85tG+F0138V`5^UH*XoLWS5!qR5|_DS`|YecZ=EYNlA0G_NvUdczDr$=oFC2
z8{u3*NjoD`VwYbEK5uk}p_y3#Xg}iKzAXl|D4+<-F6_^pp-v&flSOPKUc;0o3bJwo
zc;T#Iy82<I9VS6Qh5L`%e56v7@!&VIAiJwq4pN1wdUDqnUl_9;F=7dwp9>1~DV$_a
ze9Nn<d{lYllGNCY;?yyBFat8n>-tXxGjh#>@%Tttt)2ex?KEA=|L=S7h3_F~BkUf=
znT{|-@jVLc%=_j7Lq8Grviy-{&~*|q*Vz_o6f(Y(--8LfK7c)gbZBtTA&!Bt%>H?`
zG(@_9i9bFne4N@EF8ku0+1d!vPaIY~DeD4r3@RpuQT=PGgm^3$?P4%5-L1!3oY(bj
zK-?4rw0LAA`vbCJlo2;26EsL`S>P~1MX?Zlx_J%W?n#J;8Sp&Q5@%}s8k**lpW&y&
z4^UY6(A0|dG&tOxEAQP+OtI0{L3Ob$dPVx%NZ)?V%hLr$A80%QuM_KViHj-b7xKv$
zV3N--jf`(0{JddQrKLO-#xM5$)qLfo-;K2ykZ-9uCL=eJC6f9&Jm>nWa<C?YWSEl-
zjqx?LMv*+v$jE^1zqQ|uHzhKb%gJ2j=*y?h*8WXFK|yynH>~8XCuNt|`=U36U&4)*
z%eHZ98$%-)@&N_|%CPPIw{yE2b0{I8%Qnymipxeg$1(m?LW&=|r75$K7Bx1FRwj84
zqyqGYx2{9n4z)FyGw0pZ2ZsXi$P>6j?v!5ee?4&SG`r-1(MP&*UnAdah81@8*?6`9
z!b+~-bmjH5d5CZj+Dby4_${ddRiLqn?^*zr(xm^|wnV}@JdkV|h->(p4-Z^{8V%N2
zQts!#l+hw4lH(0WsE)Aznyo;>#|e6iaU;~;!6wh5_@A9<CC$sS6Lr2r@|8dOj@qh<
z!sT6V$GPMSP=^u(IW<dA^QjPiZl0<7m6wlHVi4Zt*_{dkfgn(P!6Bgeh{NCzKp<wr
zmEDUR&Eya;Ih)v(Of63LdgDA1Ubh53YX#i@tAbL$iAmN*j#YbPCDa#!r>flvT#1N{
zV_Ef{`A_SddlMDacSKq~;VgPqiFb4o+yH@cBo)pR`y<xi!B9lTTEwuN?O<T$IS4)2
z+s{gX95+%lQiB=DePN+m`tz_at`toNf_LZC9vp4XB82D(vi@ykAJ4n=k_ozLPdqSb
zq@<(-f#UDtMaUstgHaIxkypZ-2$q%R1ImXGdpP|jm=UR+-{fbPnJ>_p^JDdk%~K*H
z`JtjgqYsJ!s0>n&(SfdmNIyKW{N2YgubN9NES>W-y(K*J!^a*-wHEqIjUMj#0wpDO
zksc3wsXzLUaGYNS*Rm&JVY{O9R_%Amly0Of08>RuFoQ@qfXMt9XsS0@p$T3@bLN1t
zMkuc-ATYur3{kf)09smFy)dx+U7JdS%W>pIAfjv@tf8f4dJitC;W|KNIB~P_nc1+O
z4wI@6VnFW0&HMQ@!ILsV&F*1p0pr-*ynW<$sd=t%!~C|O?i>_-05gsdZ5l|8;L{Qv
zo%=VINPo4lxC6>CK=k=eBL#9d{`z^Cjo=f36_=U0d9h{HMU23*G3y_AKbPE5is?$m
z<C738!N1%}O(;@<YkaR~q|LfPw~H{ks82vG{gg(gO^Z*;Q9r$E1qB44w>RS%zV!p5
zk|3W*+GFuMuxwyO_zRE^1GwGF%G@#U&phF@CtH0Q^nWMd)L?tPI4PCGM#DH8COG<(
zCz;{T;$gKpDDsMmCWAh{B-hcMO=fv|hp8*+3WOEIb<fdX$5XSygs`TM2UNK;fKmvk
zf9wvH()Rt01pZRziJCFz+QI`{uromY%m0znoA(=7H)9CA05TZ>49#S*^gJ%(*l<%a
z@?EGZVIj#Hc7GU<!<5ffNIgF{_eao2w#@TSL%!GHdbl@_Uj3pBd<|ip!^`x;)c6)r
zcd(9od^jP$H$*~x$oaGiz!j)=AB|VJ0za*oUy7(XcgEc#I_9sM3#}V{Q=LZgqd~$*
z-V3K<{D0FGCJQQ#o?i2X<qJXCH8PZTD{>o+uRKe+ff#tw!s<YL$cLlTHz-AZ%7H(Z
z3frR?n+T4V@15-5dJ7@CkY@`{wh(2CR)DWrsIS7+H=@YS6ST_~TvTYSe>;0MET5Yp
z0^%Z*x<vk#;5QEN0VZ$B1nqLr%nPb+pNO%Qz=Z@m7iHudS0jQ+oV-=o>Zs7RRag-P
z@e&2ir=D;IYle{d#eaoUhZp32fo<W|25`P33?Z#^6(cLF4Z*)2NbNd?9~-irRNvob
zbacxA)aD_iB`hps-{Q%!cK{m(Wr0i$NUq_HT-c(~VhJqT1A#^DOzc2FNDW!yH^wwY
zHa63+{Iik+RR*mt#7c2c^a-g)u_SeYD^6Qmd!eg+LPu+j`0wP|N0FXJKW)os0Ay$3
zQTaz{{6`(&?P9<S2XWb<r-e~1du`<#?l>xVtbyl<t7<FqR3KQH!*-85Gv+9yom9ga
zT(E(m1>>wxNpMrR(9=gC(Et%AG8=;14$8ZS1QZw~Mq=EfUtLV`jH80YqyN<cz^7qL
zfzUrdfBuw?-n|u~7~*bq%82{0@i@`<VpR`L@{ybhH|33!j~a6rcQR@!>aL{Nq}bRO
zo8kBtD6ypTZC{&EaXzPd#HRpO1+Nt?8s+zT4O%4tSwJ_A2)Gb(e)c?aYhody`jLYJ
zC$Hq-B%6KO0}q^p!WZtMkD;YHo0O%X-uCwLN<>Z(MN|fd1l?;4=2BRzKx#T9=sw}u
z;``7-zWYC6#iI3K00uVNO(LbqVjUv%fV`S<*@b7s(ZK<UWme+Ug*SZi6Z(YdWToab
z+qDVZSSC`eIM|J$YQU?e$h}*kB+YsTACIgN=tw&zmcQ0(4JY-Hb%^v0XaFU5_e~&o
zLEJV7B#V%!XanFd;5A{-fSwykJrkNk{5i^rhTL8s4`VX6PMk%HzBm2R!G4h>C4Bbe
zH$9#rIeRwy{Kaex%r%Jg5cLU=WV2c?GdR7ZBcyCFpgY-0@t!mS5C=D21p;(Di`ltk
za#GyU8r6Jqi1P5O4RgccZJ=O4od?r1xYF)&2wk;2)ktCE0i!CF+7-gM?}*+L^~rfc
z;#G6+8j)A+5y<BD-UjVa&1oRt0$MYQ1^d-@Sok8dMk3Zq>zBp|D>?+)U&ijC-d-(m
zOgR`UC=~Jwz-cw%+|$t^n4tFlnlzqTpbDqA65$a=l*Or_{VfM338)C?s@tkYM@HgD
z{ws4p96|}c(Kb1B)zSU}saD?Df{V6Ti@Y3`+Nj`h_vgc>`n-M)&dw0iE$#P-lhQge
z<ioNlMQ%ZX21RuS2P-S<*BShGREqz-lP<i|BY^}!6pD{G>mbaJNg$~U{a>N(bm`Vi
zm7+nTUZ?&3P)vOGc4D@+yHn>|N7c;{1vE9Y3L6xP%CU24TtJQgdzDw54T)!Qtu+fn
zJ$Eq-L4BS1{&z*vvcwQVZ?Fql_>GzWJ+f8jCU@_3Bifd)(%8Y-+1Zx=sicWXNg!3P
zKfRqI7uK%cbXSTlTvS*oLjO$CkzD0lla<H4vweVzHQ^xB6G&-)+)D7g4be4*2eP`o
zezQJF4dwk0^piDSgq#b0mR)k|`a6#Hk<UVS@oGM9^%i+BF&zVPTJ+%qVz2_9NeC1v
z^`g4Ey5lgcU{jbckif5ZeGkgWUeoC7Cnyy7tD`bk2_)&PSMY6m4>O?6Cz|v!AKnJ6
z<4@_YzkhdondzTC$#amR3^U=L?KE2bZAxVwnr9p?@^{9CT5k()okqp@sS>c1ELEqF
zm?b_|*4DM1d!U{KNtPb~w*YSmt0TI2_;<uO0i~p}yd1oA$k_XymLIODaZ#Is6_z3B
zWjmly&#sHnT?S^;LjnlP>!a$WMsf3k3|EJTh5#KAYEMl1l9;W;w4sa|6r#Ma6nlmK
z;Y~&({nJl*)Zd4Oj)EbXvX}^u?FuAW2j6iyBO@(+gmjId#V5b~3X!dWw?THzKVrf;
z2moe)yuLCa=f5%!^V=a=e?L0wg4&tS-NI(Wo@P|fn<!<$QU(uT6Hk#tV)k;fpxKGf
z{Ee%FCdO7GuQ<tw+UByW-S4n+HdR_e=*PxSy1kdcTC2F6New}y;4tI`EZw>H%lG`}
zr~F>qg9dA00t1;Xy%t#e@$kOcaTk{1x2uWcPBF`o?APO#T0hhfpM9VHQ9e0AEv;IX
zY{;Ygz6xK07;fCQj7UIF=;}l8DS-0E$%*#!Lq6z&G1g}ox-C%GjzE;R2{bKejQs(_
z0~iiw@BSrjZf;P2tAKdN{sl7rywSBSGonz4R(rO-l)IK@E*yFN&7h;S^{Gb%Jx+=3
zo&pIhX1LIde8(L<#pK!vHX~cMXoq*veiRD1`S};m2BUPfj3m9i7)ZgOJU(s;#WZ7>
z5Rcqk;BUS)@u9B3g>sYX>S{QShm~XyxUI3u0^=){>RVP`cd#sZ>J(0z*EPp1O;XYz
zZXR-B)%#IepA6wd&RL7|VQvyhpuuJ4-7jfJQG_qKDhzx6*;nJ_bYuCVdPnEns5N!C
zBAo8+?fH7K8KLi%ztpY`Cv};|?H<~Hf^l)((;qK>i%pI22udt~N>#v~Sn$QCr3Ez;
ziGm;ryX0|s-VTu_K`R)Du-bQq&HW!T;p3BrtNxQ2@cjVBjo=i189Jw?{4VOQFt*w`
z?wj*mS<kmiubNRF>y4aq3*wubpv;5w9-1b9ji{(70Xy?R4v&KLRE75~Xm0%<R#}F+
z>aI!JI$d71-yZM-0sHjNI_NS=|NOcee?~rS)&0`*ua-HduLwu6Km=(s2f=hQ7$nsD
zSyUj=#IE2n1d}{*&yF~D^F8G*vpt{#9Q8Te`11C`{5%Y_(vU3%`oW2ECj(>SQ4;nN
z<HCTGBH9nT=U;Mc5J1QV)78wAb{aU4K{s<9rNzy|6UV|yaY0Xa$TOlRF@YwmRfEn+
zCxar4Po0_Vd#YJZfma`HIe9bHX^H1;$C5{)nw2H`{i^P#_qPXyY(>hFO_hvavPw7i
zPBI#Hnnq;?hRs0o7NpFy85yh#?ul7*Q`oW@8Bk>9=XcDwB+CSVzuinQae@3>>F>?G
zm&Zj{@z~hnGOd5U6t^=n`T^9vI1Z7;fhPu~RZvt^4<re2cOX;RK!mj+n+2xTZeU<&
zzD#vC*23!uQ6s`|&&|Oh7I^5>z*&>+0QyE*-#<T*7%61G0yomFJ;{u=sm{y<OX&V%
z83iq50ELx3D=s#-KZLyqPMgey3H=K(!v`BoR%WJ$Xg)i_24CdC!02Vvsh+2rsFCqC
z<ZJY=2WuqvjqIRfiGv6LJv|z0{rtfdFIvIp^68=Nqsj#*&c2Zx`5y{AYbQXP=HIUA
zqT#Ck-II*KnQZUSXahE*K)FXZP!uoMl#pAl#~tI@<)Gg*%I;1FCuRdF{TmiNl<;dC
z8dkxX56~G79@;UG(}BuPNmi9Q5zckctUe8ajJLH*pBi~WXA3JQYar1I<a?z5^b=}8
z?KVU4oq8po4&OxEm0t;Uw6hm3o)gD?uB(HX#5#XdlINh;QH^5haI?0q&5O(yP)K))
zFVHuO^OdUyJ7B=a6J{eT%!Y1paL8x#M}dL$u89-u9lz>m=0Lk8^EiX`DwRaDmA762
z%b&V)%Tztz9PI7mKZZXS#|1Vt6c*k@fPM5=+p;W(cb-^9pFl@NJ%f&^O(UIyII90I
zKKF2{{s@3C)G685&^iCp2^g5VwqD<Xe_TN*XDC}_{{P6F-B1+MIpSpPjH8^lCFkj-
zT-rTL^4GHZ`m}TU6QcSumi=0rjDMg?(Lv7oUMytdS}Rm9yqJc*Q-|j7qoeVo(LYv>
zZ(YCMQJUvilTH3D07pU4CuF8KSk*pyJ8dZ~$FcKT)Zc4)CPGPBIXOE8=i{$?m=zZl
zT|OHOK%`!`2h-E47JEyTs<N^&AQHr-o>-0>On0=mXY_txQGs8_viJ_-rGWt(bTiT|
zx#rN&fs+fUR=BsgjX&A%{h1HOMetDoA_n+3N>^K3;Hxy)qL%CbHDrDKA_+UvhTV;x
ziY?{%`kgQ<LN$Sdvd)|r2f9_@HEzG66{FG(7ZvgvOb&hi1$&s-b3^g{Ml!dFMqGJW
zKIk-nS5#xu=^<1XNHYfy;Ui+KpLYX0Q;H6XR1DW-@qKOsv;HEY23kA|zTM-Emlai+
z>k;mrWsOs^=0Sm+5a^9tSa|*DIUacvYUFg#)}j_udso-W*ux?a0*Al@`kqn4bMZUl
zToN>j5Z@qma=3|jqrgZ(>!Cu6CJ6FQzZ(*A_M~87WOx9Qi2tX5d&?0DvV?|{p3%VK
z3rxN5j{I0vemUzvlqP~nFR@%0@Q`rXGE^QE!+|cv)9jH{;d7?EqRr2AZ0G&BDTh2K
zY|A`%YNBnN%iOxF^P;nNCM6&suxQz`ujBHdMx(wLpqTI9Td!@r?03zz^K?<O>vHv7
z+t_c-iiwMRIXQqw8SSxY(6cP=R+YCD+^*A{f_s@yY1oyfKYJ;^5t<Wntzu@8OXkII
zLm(QtM@&Udt_k=nWR}awV5*%61b<x{u;K^|3<!{bfB<4AwIm=&i?uklwz&rc6{vzm
zzH?@yJbsVx@Bh3eh@5np)|F$R8JS6M%vlQ($3>}Sd@Z;v<8MAmLToE~Ib$w)@2Dw`
zQUSf3nC%FygdcY{sWoNU$Y@?>PKigF&T#H~o!(CzxF~Kk<;6;qz0cyl861B`d$_|}
ztV)zwGL|Js2}R^eRKY2yX#KhOPywR`$u;$Jp7>_JYby=rC<YXmfXD_-8a4mh6~Plm
zLv`&_wX-Rd(OvrvggqYvWkA@YRea%k@WwU7j+A$~K6KLQ<nY;<i>U#Be*ks|I+R`5
z8-yh2#l*%6C%>E4f%_LEMu0*1fVW%*$}O=+4@d))P!}n=mH7~S=!vThn9RItS)!R=
zJWFX2uN05(l6$6{(PBdmxTlLm3aBQI>VK@L^nVI%H=eV8QglmAE5?w!n>shKh(p2}
zLr$zTun_mA-)6^;j>chNfq3*mBDWw@qHN`Lkd<jsWLz~Gm`l8c0ygn#c*S0DqDD=3
zX98u!guZ76CuP`=mA^4D6#0XRfUvDadRnV!Q7~z59aG_7NdaDHr*{0DO9fhSuHo_O
zig_^M)~nr#G?_B>2}{ACgVD{iHPuvek1oy0j+sMZ8mUTDj3Ln>7y{B@?-LA2@JK`W
zfYei(CuADa$ZjLBtjs6arB;Km9pSX<ML#1F_rrN!v^|g_|8>_E$$VHhH@5}eP=*n2
z?KqV;Ropsvl*Gt-DfHYWZl<JnN9Rb`b=h}){krZW1)|J%?|WHP5+x;z4=oCdmh<wI
ztX;cRuJ;M|d4hK%nc7uuTI8a^tXjXJ;!A1CewdVPD#xT5BDg!!@7f=WS07v+RGO0)
z%0|8K9jbUoW>?c)VB3U?6UXIY{~8P!bw;U(5I*Dc_Hu@f5L_D1SIF!Ni2lrYd^;Qe
zC93a5pqTqrbs>!WzB#7pdF=!6A%GTOZM=FDj2P%HJXFl|2BKsZ#dRjUcNhit!ADrq
z1XZ96&Un2+urmNu<OC~xz<QXHmj~X)y}y+W(lw-jUgBY()c}OT?f3=QDOAcN4XvG~
zQR*L=QKSlv4~O#|<qIE{)E(r@?!E(MRkYG;x}_a6-T>`z-V4d@JRO-%7<a`qmLjht
zj`M02=Q+)*#i_;VFQi<45kijp{O;Ym+LF&DMfHpB;<=Y&w+xeH-?ab_C#-O6S|U7V
z_t5cj+K1IV3DP350rN2uqUR$|Lu&v50SOcTVam2`412uc3FmY4#tT;Q4{7JFGtHv>
z-0ELG09zwU*TlrBpmN9KaMzV75n{By6!+|g=v@0C%yCKX*^Tum7Nm6q@DLD!2@nWE
ziP)dixqEjVMDXw1uEPgcbA;Zbs!ELdlGn>^m+{{!<sli=XjGz!gm@0NpIdh9*Y;fn
z8)<7H?}|JJ<0%a{VAYpA@)A>1ZHWkC_pu*}T$z{@Me-Lvc2MRox+r(iZ=4pEQ?TX~
z;Vg1+kOAZKLpeFQ9VuU5UuY@zO)K;RzgW6)xw4_vC^*==hI}LjMhXUmQRw*Aj8|V=
z%M?PmboI3=EqG|ooU-2YUxt-=lyN_Qi%*gayfDA`^b~W>2lsC45<}=Nr5Nlmz-0Uz
zzt|rP;@#?7zhBVU@4{tD$!%yMl4M;n0+XaSOiq74BOU|t-s}D!&gJAeDkz*G1-^}4
z<n-MyH`b98uN17`u-a)$+G*gvKmZuHepEiX2N3VqFUZY79R#XW5(4$NUADDdwmN#{
zS><>7jfAkevBDxZx(d^)RF5?_8k=gM344E0mlud#!EBokiE*<6H{+MRs#(g6JZja<
zBfcdt+1xiglW#bD^+KBv(*@L^bx!lOAy04xU(Gq8CXnOc;puK~m&g&j$=($?=bl-;
z!jr^Yq%DM{y?VvEnR^%w1kJF}h3C&h+iRYxp2j{YxpL1+N?kjPVR@bHX^zT<@16t5
zQPy@&Hm7?hlr-wScUw$su7ON(cwpd?2kKg5Oe=axW$!8=C9Z>d2Bf`Un;UdL1kM()
z?XyIdVOzH(tr-4ajTLf|2xrW109S$-N&p}Q8XUfRh$DgQs864^z`!N9iRdBX1$06F
zqQ}f65EmvMNp|8BAa-@GMTJ5It;5&SPCNu^3aH!W(eY~8pm5U3F{Trb6S_CP%&)`*
zMI`Qw+<mR567s)#_usTy*`nCcIhkV5@(jH`b%SW>%I*Y2z(UfH7t=JjdDzR)N%tww
z=k2qvC52}>S)Y;2=G)ICI`;Y2(P2Uci0RCc9+9gC7dtw#)81K55xTC?K3J|8TtkOz
z2{Ae2*N``JNG9R=i$Xtmy5I|2BZCi94Wy&o1Kt}*Vj0LH0z80Bp(Hzd0UX8yLMwUs
zMG|YDd$yYW0s0OE#~6%l-XKB3egy{T03rzxPg)(&zTw9)kmrXub|9evy%=ZW%*oA7
zmqO*GfAz)wUtqNY4@S0^|F0Te=@^m3JSn+<zg1D7*s0*ao(&r^(iWznrQi}d<lgm}
zJ*<^X$B?D{zLADz^ck!T`HNT|r?+mUY<I`Vt`J1o*owH{%ex(C!;^@f4e-u@Haawe
z<rju9+56lOJ&7Igq<myP-ROv&Y#ligRaI4E6BAy(gqm6tTAP|S;~EJM&UXQa4(Hh^
zhd49B*3#_78pOs7uU&0u#K%&mkq{ojnmF*<ctFi8G_UgmsRdAu>>A0yhXURG!!B*b
zvutXu7&eXiR*B(|MQQ%PwT3{q4f38#XT$Fx?pSaz@n=xE5790Y{Q^tmH8{}!**O|n
ztdjHZM~MY!(~p*+1}v%2%7d5%H4vpo9oExbZW|Z(J!t<mddNhIKIJX3eLgqmu;fXG
z?|2l)g=g1ywdtW0IaksWFD3a4Vx<^}t%Ws`CP^)@p3#RJL(0*pTyv$JZ(h%CVeH4p
z$oR297{N<dZ%{~`LP5PBX&S{!cw+rlyl^cN!mcOieK?$1)?FxPlA}O_zw3^0J`l+=
z3E}S$1p_e&0GuJgMHA3f+}>Mr1@#A#4G&a1K>3iwOQ8S<F~UK2!J#wZIh<bEdOp3G
z4u0Q88dw!p_JjM*ef~|KWYT~{7Xd}_gazG*_sr`X*J!Ly)3f0qTva5AdxL^%?E;^=
zT`z}w&WKuu75|-Qw=TbGb*@b6vSpr%qsh^%soIH3O|7?=>#Z-1ex}?+LdyU4jzB_)
zGSwL}f+olEtKP<4$ubVXvZNl@m>v#rqCAGyX!k=jShO1^2q2sa{qfWzL!grSvhMWw
zjDbWQTrmUg;H)cx-*@}hAfXgR_kY^=#snKXyPojY_8U%T*q+O?oX2iF(l(F#VS8nk
zD-25j;G`G=tpu{8!8D$m>u!r<C@2vA#(mWqbw7%;i?y5}0g$n3Q|Sn!(xmM({q6^5
zf1+4GKp4WG&7rDblfu1ZOCC#Ue43H%d`9yOU#V5Jnpcu@^4YY4d+Hfyi+|x-uyuc~
zSzt=gTJpr?G-QaG>4_j1O#rsRl>7-Uk9(Zd(@aes!ZA2^cXnWsl?2$;{-U0gl(EXB
zM|{*E;}($k=Gq+=_PM6Wq)^`|?socJzr+cv<zEAxSM8vvLj#sNLz2J+G~ZJ$4e&;R
z1?woVp??X3Vgia%>9uf94my;}fy)|`bl;hOv%1W^th5wkhDRRi8WkyYOT4f}jP~6=
zp2Y=P{kC1#WOD4q|E`h|wm*Q}b$Q#%!{Za2<rQZrV$VFI2tA+CSZM29xv}T&R%iaG
zn0y$#eBjHv!L_U#KFh_-WHg)6*pp!CDv`3cw+BK`i20mSDmR;nS6Sd!FHcg4^oZ#4
z`#kihOpo^A%7N`4cn%)Rybp-Ub`Tf$1V$CXyp&Mxb~x22=!@q!e6Wk&LUfAWH!k)o
zusH@$o=-W&p0OcO%V6=?#VX*$nwlR(Tde=gA$Tv_ABf<<u=?{SG-!aS8glDv8QGOR
z{`}cSH_y(_Zs#!aF2}(4?=I684-M{OP)pI>>*J0y*8)BKj_Gt16%~QO1kzyZ*1M8w
zGn|@Mp@f~~i#!unqk)|u!v+^hfGJV~QV*c6zI%6_G7MbrTU#F3_(4ZciImU`P+dEL
zYqWI2`Pz=N*93taWSvPH40{_0f3ny19{nQj9XifvAC@z(+1MWRgk_eFb&IbG{YMn>
zk3k_RF@!x3U@V>4_Pe4$O3-9g0y6LV*k4^;UGwLhYM;pqVf{YUTlZ31qprkyYUGrC
z`0(|Ch$P+XM%c>nA#=%eFrjx*Ci}uMiKI)FIYld!YC#bf5qRv%e(b_HqOYg7ErCBd
zw{hRjE-XXrYQxLO_OD+d#)B&6{+guLwV?#nQ_RjbrnZl@RGiJtCtLQa@GUTE7+`KJ
zXVy^2ol8&+^5-$>uSCh47JMJv1&qhH$@EY;MQ4NMx_u!kaxZef=mSMKd9PjRRuwkG
zHQT|MkJ>{b<u(RlO;bP?a?7SL4=^$pjf`8A<aPzl8_(`KI4q&QhMz%N2PE9mH{*kY
z@lMsCW7oHDG#{w0H|n;E*{Rr%hg{jsy?=Nz3jvdO@p-y>^U1_6TvD#xdf{R?kfKqB
zk!qPP2R)sjh9tGyYSW%(vYx*Np0<x#pw2&+mCh-=(K2y4;L#64Xp#*L#SW>2_NlEC
z5)yz&QrwZ5!~49-bm~djMRwIM47-`&)gt(Z{oHaR(%x}4m9Vxvbb(-)mbr}&Oa#pG
zJ=NkRf8V`X82Ts4OAwQuJR^6jK>{yP8Q0j{@|*xs@m)7!Q6W>%qVQD2=%g|H!LXn~
z4y+PYvcMf?+JB(3U=vB+`+YbIu)V$X8W%MdCYU?~MLSxkamf_1oEs5qOa9{%EMLTl
zVG9R@33_T#&|f~Mx@y@smmGChJ}pMvGWnlT2~U|48{aWcM(sZ0dwoDs(0jyF5s?Uv
zi<~5nOP^b|&g<N>i|e=_$t@u2Hozz&$`C;wnH@QpS^HbUdSHm=SAAlF<H`E_Q4kqN
z)>Um#TsjN6I?#9?&uwGBe(9rwVejo*QGCtM=cu`2zBecQ&%0)T%<s%*O?$f&b^mQk
zTkelxrz*!hl3q}D-ryr!`ZpvxMpX?Ly}SZufF(7p>OquqlFUhRGQ3Z^!6>czLZPjj
z;db0#3-{X5QBnh4o(r9GQ64E&_ea5@%<gdc+Ia#<2-u;|4_o5S2)k;>G*=rjltf@$
z@E_-7`A1ciP#TyJPcRYmq{+f72-=z8aTuH+PbOp$cG^q?L-x;-XB;AJXry54aMRKv
zwN}#`3~iTCX9v|j%z*|`nP0xh8^xi)T>w*f-8)!3P*HJC+zu=0toOc0y=QyxakB*J
z#8(R)I^!}~Q@v|W#2=!*-bXt~JaP<E$Z)Myzl;R4Kj<qD>lZ47(7%%nzaY~~4ij}p
zMo*qosEi%-avH@UFkdR;DV9sDTP|!c=FiX1H(9u>`-_3gd%o^0k{;2L>LW6pe1Jrl
z+kdhUPEccrI7eg#SI#C0>^VFc!0~Q&m$z8)cUQMsfovO+Jr1}l0RaWICB5`~1g9|{
z*|5h13xB?fRL)ns62sE6vRB)v%CVzrngsSdT8U>|q+ML4KW<+0F4OUxyn;EG;jy^8
z1hO=h%JWk{e&pskDrYhLIB1iYeWoxC@s1Q1VBB{lB(`9o#;M);!tbVnQ0aYl7M1Gq
zf9YPi{0ao2Ssd+6K@6)5$(t|SVFjzXd8*cVL|Yym!=eI@7rc(l!~a>tY+gClW?0>g
zL>qZz-?-X3_uDX_ao(-GqGJDXeY$Knl)pm#pj)nn32hF94vw`MFRc<)$dW00XX3Q!
zORwK$A*0C}7WMivvko_=Wno&SBBtac&u>}tw1fmS0R!8Og2v`||0_A4O1(`Az<a8c
zuZ5Bg_d7*nYe!vc%r~!%M%q`X==D9`C6Fl2(IX5fOUH@bTDR4lYIp67te$5aOrZBh
zOj#Z2RRj|wZOiC;e1gxp{5f;>x0t9Lot@kp0{l}1%E@9+PPg2mliX0i@ZNfZ_XE43
zaEbc$6gA)U<Kh&f2W@4_R~<fe*|R5^ME|xew#(03%U})7P!31AMkbz24X!6Q_iOf3
z{y5Rm(}e0?=ezINkL#M={~&-%4v|-Izv((_`hySiSSCnwjtP8?41(Oz_mUo^+^k$k
zl-uzUuv}YqCu*iei#w8q(M<iX7JylH=$zc$LVd{0rBHzVPDN1psqE+qfPg}=IP9$-
zY?u975XK|Erk4I{r&J4na_0!qDYIq(pZ)OrovkS7fXGiaz5ItBY50l0b}-VBV^&@B
zg1=I33}=Xm5fgk}590mmG*E>WFYaFDTu|Z;W$M|aYpXu+zrd)t-~Y%oUgjR*XjH2e
zr8UOA8)ourBa~B-gQ>W>o$w*p;-sdoPA@52;q!Cxcm{5brlzKYL*@RIxUVYxu$zc9
za$2+)-)Gl8BRqcfHRqP}Pli*6>+9=%yv3%~rN6&2an6IWZRZD$_js0fQZr!eX-uhk
zalUe8_MuHq%s?06+Q1Dva@jOwMHAklo+Y)Tm3FaIBLf#x#`W`*r$1}w4LU-hM#0uw
zhKMN{u^#bZV^Jv@Wn1HgJ{{wJkBMuY&bs-3RkH-d#eIJt`Up~_{?vA8S{&?;F3Nqa
z`b`|xP&?IE&xvWS()%rqKhM$MrK7dZt4$jZh#~&?Ld2ec!EDjLO`2fWt@`uU9nSeu
z=E{R<NOXF^``GfP=R@{XoI_!-?FWO=X~qXinGSOdZ(ufWj05*l*5jUw@0B@Q#YNTo
zOADO2?L>=~%uRE3!3q9_@6xmDp-hG44vBk@1MThYm;O3TBzZ77&`5-gbP>}eatA-o
zrLOhu@uYY;18088=3H4S&DT|aHsLcen=FzW8gMJ!7pPu%3)ztnh);OiU)BFtTpOip
zI$iqB4#+*+IS|3Ccs`W*^X$0S=~Y4#<ZDkm{FcUjyn`rk)z~&A8#X0xm^&Ehr{6^q
zpr%faccvaa9c$d4x67CEU{_al<lHC*WBfZiIPqRSz0{0Weea+7M&;Ak3W~{+`sG6s
z(jOIt<qWj6`MO+hi#1%cY2NEo@MkFN_;~&)QMK{$@o{nam=s<<RJ3dxwejsmqO}%_
z3b{4vnG@DSCYn#(o%z(^moLwTYOeg5t{~<$Zy6;G%lOc1U*JnJ$%ldT%bXYquk`T{
zLnYU&1dCDOPdB!DrEkN_KI0Pc4djM*BgQ|5z{2*~pdi=})P>uGyzfL$@1XgG_8^BU
zi*btyWDCH%9bK*~J)5P3?%BW2Mcy?Q%vjp1XeuA7kxk<hbEj)7EpRNC0CYsZNKLac
z$$Z5AMS4aR^DKX4_gGGmdO|i0ft>dk?57jMC7>REY^jZ2vCHq07m-7~wEP)$dG5Z^
zP)$RMS8c#yimPVPA!GmB!(GWa*vRI6eqA-!tG2Fc%3O-!-rskOX+5AJG3E69{bidl
z9qu;>Q1<bmZeD|@A#?kzTKZIo{}+8DYw}tob;X{y!TiA(tS0dwvUFeKJsGyKQ<E1A
zf`*M@FvTTsL0cg@q^+esePrap_dl7}NJXn#n=`M_NmqH>+lPd-L!LRx#wtTtq?aMh
z$v`?+m~`p*@$V-C&XayCR(rwcIvvXsJLXM?g)cReO1#DR3oyL2^v?YZzpLf_uJvzq
z!8>J?0m2ixFY<3z$EuR|I_g|3A98nh2eIp&v9Gi*wYXy4s)6YrbQDhN;=4p+ou#e9
zxm}`WThbB07X2ec{0v@_lGA7ix-!0V?Di1#wCo02v)~c^7>#woT@I<^^x(F`%4LI5
zfzJsug_)7mE(|B%)BQ*HufPw+Kv{0A?lkeo_r`SfeWtWt&K%Y&oQ3L5XNC_HOJB${
zGDIk8>E;iz<rrI&rz9BXtai|LxsMDa^AgB5CU8+dGUozQxAXYTSXE8MUfQ*|{Paba
zTL1DUSfltLoxbfy2xawzL-4aDmn@!*v%_J-<IYxAR?g0=KHH&oOO4l=9x8BCetfSr
z(6s_d<>4jEw^ubIE)g=SW|7IT$*q0Q6t$>1P#h<(XdkVNT$Z7!Yqm{Y^Tp=|iA$I5
z<~J$^$-O?B1_lLsm1OSWk5LOVxXW8RJMR-9a{ZR3W91locesBfqj1tgn%B8e=;xdv
z%6D2rN=g#`rr&-RBGq%TneV*kdz$B}N|k}v(+WKP61CmbNY_o#P;%;`2CtkPiIlp>
zZ+Ro9D-PIr5gPglN&B(Ci;IhjpP7d}BR~@JEuoa%fcld6r2vl;7pBOnBi%Z4Fj4uJ
zdHISIeo4Z=mqhCS-pk?9P4BG92kw&=Of0h~*{f-4_S=}4f7@QdeR%Pb9tJ0lJZzD+
z3@hL_Ljq6tN7`g6Ajues{G{&9iaCJQIsjyY1>+A`YA5bR)<y7F00)TxF*1KX4DCbR
zCYB9)6T;nbm701aWC>Zux_*68Lu|MuMA^yl+~>OcqCRc9KX$hXaT98*2T}To?}~&x
z4>>xhUDL}~ySdmipay^tU75wWP~W>DY4w5oSOpAx;xHRL4xkFp>38TTrMu0pu17r5
z7wAS~Vk{58`xPZNuGsdCU$Ks=uPQJ1yn4xiD_oG5R8Jsu=2;!>XL95_9^GvzL&55X
ziWSetRCp$+N1f-TDk7KZoi42-Zb&&)!?sC7`6ym3$t)6A*RTuGrI4f}|D=HyQv%ln
z(T}!e;$mW7sUge7)9jNLD9#owCnB_yIWw+c^UpN+hCdv`@Hf$rqQ_(yJa(R2V+d;Z
zZkj<Dd8D$3P5=qPyj!()E}j2DqPDivReCk*m%XsX3vy}-?wqy7gkvzzEq#6;##?`U
z{o4y|;ClOFQJT1rgn)qCK^twMXa1mevP8C3Wp|x{>R|cW8+y_b6VZun^k7H>zdjGe
zh2Y@eoqJM^lw<FN*QuYbF~Y|}%qHkX(1=zw3nP6g_)=RD7yLus5@|w4K4g2|$AGFL
z|DTQPnwlEBy%+50b?C+U##d~ds1-q>+FHdJ&-iuvlLuu$rxm*DTlI7%eOt9OqaZee
zqXzB*Cw88}q?A8u?B`>rg-kZ1T^X|q^z$QRk9TVdLcPs^;;nl<_i5}Qlf-fNZtqbu
z>i(D)sA7b!rs6#Pf8PweL;Vs(;pXW-KcSbvpo59OZY(14gDH;rS3OB%vxZY2Ey=X#
zZ0bins3VZ9ObQW=xXZ&3y!mKD749m$Dl>_c)WpP46Nxu9SH`2vbod>35?s2)d1F=4
zyQmV9#n9JQLR08Z0AdQ(*>Oa2NmMYt{>|`fwbZK?ZrM85KkY4Qn}>tOWBrA%`w~Np
z-v_(qeuya(4>|y@3f*e8b5c*&_M_JO5u`_WNMvbqUTXHMTRk`iq+sV1){y5d?DSpy
z8%`xp5_w(YlazzUxrqcOtB!t2QWdOne_zoy9x;ER19QdWW)U~(`{DTYgN~%VDRz)I
zN<ZvaUS5Y#_P2V-<zbFOX?e_!`*hw9Y{{~Hwp5jSDLpOlcN`%OepOBB>RTS1tMSn~
zH*eo%kI82BB4)inbK@cHImK77l9lIe?a_;?;V;(?wzE&V2mQ(lM<=^-7Y*1(zg2x@
zEBsOY0vH!aSF^91Gy~kaZ4Mv~KfnF(8#ea@HQg2N3#<riV}?>R>_Fizf4;jKQPs=$
zmM(Z>_|uJ&F(L84Wl9Y9Pk-L9HZ4xX$78q;H`WVzODn5c$g`<yuBQjgnTND+mmT>u
zcr}ox430JKjtkGGTdFr!n^rsbA|pvVN-2v!aXY~ckqut%uINV*3Xx11%DMIUm9k0D
zx4<8?u&`(~a40us@5XfT`e-j#6fX{WF7&$x@-LIW2mEO}z}u4gbwor%pzmW1+M5B)
ziB5T>#5|ghU52NjSNi^)#F{&)i-AZfX!NtxTirYPg3q-sST)C_TB`9?Ja{5gbcGbQ
z-E7~a#hY&WgvC1<(9u*^Q-dXCQ@f4lWIm1xPwiqwLlz;`*@>G7K8c0Di`fp6d01`?
ziI&=`{X(_Y!#B*UgHDb?HV&}`OCHazFM35mkm<zVwfws0G1{E;id>;WOY_kjb+;S}
z%lot_URYL*%B(o?iHh#*&u`RFiuU_gGFV+<HLo=dyk-r5S3U%$rTjrFJ$*xqF0nJ&
zY)oy|FJ3yle5oRlb3fTB%`kjJgrBJtU1}^-X6;k12VJJLZ8-k1AY`Tn9SsK^LBQ=C
z2xB&oAlk}%>kv%8gJc_{7eRCSb}j!Fe3B;*pYRVoq&i78xcagecEC(c1!?Xylnf*n
zR;9!^xG-raI<Nexzns{`Mp|zFf^#)0Udhx6(4pvWnIu*qK~Hw?*?etKOcHsQ;^GfA
zGe^Zj4*T6ewevdbPf?%0`6$OQ9d&-a3-<Jyg0XWWZV|`h%qMUSgEdq7)Hfcu;S=Wy
zpWVH;7kh7SbhzH@*FbL1;|0OABiP%wQ{6)^?I#4=Z?A@vvuhlV!4v~tv=8Mn5Y>ys
z_iq<c!v}b0Abd3(U{?Kn)~uh&wM9uiIM^5>J<+oH*||-uyZYf6>;{p{JZWi4Z-4CG
zs`;n2V16W9dz263Nf*eT!4XPb;u70-ijhAf>E<GL$7n-PP@(>voPN0Jf!XzVSkH)w
zqY1n81GDv*;+xm2n9*1_r8@y7h6N1`Czo$X;4|<zO9W2;s53D;BlR7M5mEDQH>{Eb
zy5Hl$gWn*{fxIuOM-8^XMoocb!eET!pZSy0p%50#KsbSk9Tpw0+fr?d(xkfzt^1AD
zl)ze$6Y{(TG5XS-{)w-Tw<2fIXf)tMT(NLNNLXGeE3wU4IVZ~O$z$^u_poh2D|2<*
zvdMoo*{ScaVr8l*Z7|Wf^Ri(K>=;St1e8>h$JCitKbpqFI)8%iQZrvcbSm+@d9#?$
z`gIw{Q;ij+fA9H%r^FZX@nk`c5VV;z_1k%(`fF(clEe*Zp#~)k2)HustOiR*dwQ+~
z)tauI=e0oHr;(sHz)jIF-_Xs;&W4SJpnPSEz7crv`}c1EjsSDm8h^%SdtvBu?v>ED
zn(9^Afxqw+w1mXOc6Xni;k4-!#%4=yXMehB-f0~C!jPY~UsblI;Sp4u<%9Z~=rQ^t
zlV25uOK7?xs$!#T^J4N6iQ4(*Jcq;y!c&QvB=VN-+;}6ltIG)>mpDXjYQzqKh!9)D
zsK6G@6*~$VuvfB&mO^O=T2Xb!l3JfDwz4}0m&6p6S+3FQ`K7mPv&%81U9hmqx`jvo
zwUk6um#vbbVq9SH&_0M3K$9=)k5lb`8|$Y;raAUywtys}=RmQxc~Z<Ea32r$s6mvs
zDyKJ*aQD4j2X$2)9-D--kNkU&CtAUqTX1mxF>JB%^H>bxeJd^Sv#@Y2T8$=iZlmhq
z*o|Yg%%NVc{>zUG(O-9tB)4GC*`o9^-x5b!Pw_|_oWFQ@tJr_j&`Oyy87V8>3U)v@
zOI&2dV42j;@!jG=DYm4tE$uNz3<ncX*px}GE+r+Ud99FZ$wEYr@F?kUB6Y7zJCmYs
zTZ(g7BKzyKYp{$KzK~<6X)Zvk7(S3Xe+o;DGd&-v#s&v+N|){MQQ^P!c}K@)TV);d
zX9OfdJ$IgJMtM{RdhLAe+bQi#p(Nr{M0uALz@zupVi1u&H&R}FHeDz<7x)z&BA61A
z`(tmYI)CLgEP@nEDil%gm}T-h^w?W`AJc=Y?e8uhidCKOx--w2=Bs_DtH$i7aIc~C
zM*?1KxzjJj##q}z{V+&}c_H7#htbc!Lh#ha2%u3zZXT16`qu#6i{aLo{pM7COK6Y!
z-`{>|39hnc*W@b=9Tg8X?nhmAcoF05G+1XF?06Q>hp+JVlj1=~#77IE)v#(*Ac2ma
z9&|Z&f(e~RQ#5ex(@$Bmepld^axcsDuZ4GwQIr12w#9G_PW$=Y+Yb#jX7FF`^r>W~
zCoLa)$eESn`%Z}T=GbZH44SRl6-=}}!Ej~BX21#DC@C7a^4yKqj?~yv<HF0t#7bH}
zeN(mDg}PwVh4H6)gXGP~$jHYsX&v)YJ<;06aj~$%qI#S@(0R#Ye~JEfp%b~FF*j|P
z=9^M#@z-VbM4ND&KHj-9jl>QDurMPzwbxzB=9TRb2w}nd`3?K|;B1(>hY;F$#K~T@
z(!#=nj^#B?N&E{ntBs9~iR6z&LlWf=7zGKs^h~;5GXb<PWbD$n@0b7gx)ti@LEsK;
zZCaCjK!AXFgJ;3$#n_>m+HFa@7V26c*E$S%c9VNdzL2Yt|4=>oAP^Zo(AlZR6)WNC
z{469@Oh^p{VMZ{{*U7v6>l?g-0%X!)qHtHCO2{LNfQU18)u?vIz0Sq;>FMbjinDm@
zBu4&E08nT+N$7c;J>fhR$aSgtQ2;d22a`MXNLs-xd0JJ(ALR2eaBpsI&dtr`XuRfZ
z{c?*u(t(W1V|QcW>({TNagneWiTyIsHUHZ28ir04)hh&YJNQo@uA|0RHM~V%yh~#K
zJM1pWOeW8V73;^8w7U8XNu%yxY)u$4_D>yNc+kEOc6*z_j$znziF{2>Kw5L0F~eXg
z*@fHYydQQ4j<i}<lX61FnwuNVe2?cwQOcQUwLZ*ZLhsDXjODPWXag7ClfrWBy*4Ty
z)7`9l`&k+}b7I|V$E$0|FC*czZow33FOmd?xFb;Q91)+a6T{31VMtrwqS=u@U#|cM
zHQocXS1l+LH0y<jK12^&dRY5bkmp1{3g^dKm5f})&d|51WNAN(urs4k&Hf}nG`Ml9
zJAV0mmS<a-@k)(0SDYrvMyuAwDw9hXMdZhawQqX+2jh5)?RI0jRH6sCX?2vY(XeF<
zXJc_z*go{%?7r$-8Zjo;(e!VZ9}HPyNK3NYN{jrCTC#kk>LE4Y;IO(-otqLu!h^E3
z_r#$?dlK@T1lHmiau-!?(m^L`V*TU<R9PJwIXYai5VU)Z9`+Y(_;6DqE+$B<+M7Ct
z#WXMxia^LM1S{>OK_u*Ot}%SnCxt>_Dg0CD6fUtTQQ4`#_6Z%5@_5;}^4j;St5O02
zf9kKVORcqx8R%$mpTBQ2iA%PMOBZ(X?VJ`8ouXTU(94m!D%!_8zE8Wp4XTcM<@EDc
zi&R~{5*@XoI(9qPCv$-O;1zgb3iYEgXDT(yH1C-4R(5P#G`%glt;)$*6TV<rcyqtg
z-qMmWG^15+cU9hxNkDxQ8%wKv{=c55xZGTu7OzpH9C|-U^qN9#AyeL+{sV19Q+*HF
z!Lwg{;<tm07EfNK4Au17b12lep|?uQQbgRzYkoX%EFAt=mq20#p%$<`rPh1E&dv#4
zwJ|a|P@el5r$f!p)R*}3j%(q2j?fx>b51BaYimKJ{d-fJ1`>hxE^N0IjH#lA?)JS-
zdQcUwmZc3fuc4tqKVPNp^8=-&%UW4i(6no=-wv`g8b1xKcuB^p?$yf*3+ojRQx&_K
zRqArFlA-+r%A6Xhkwr;{)=!Fcxlmi1u&=_qYJn<nhAPA!K*oo>h`($77CJ-OiC&>H
zb3E%lN;Q`wbZBTdoIkDymy?sjdoMqS9Bmr<pyNa3eQK`e>80n>$=f*ku?qN)`Gbz$
z`r@R3?>w7+s7;u(y^}-D+~goe+JPg>(suCh7%1gtB9o6tsX5jC+>`efeoT_<eBs^@
zrMZ(LO1oY0y({qcqLVcJiKn{Cp;2gB%nex4&K(#Yu6(%z$)h`tFbLh{P*YR$IH4}c
z_OF23Z-o^u8IR%C<L%yU;Y*)+$zL*BcV0BCV<mgdeV;s_dO7D)_Uj(WRG2P}m&w=S
zZmT55hn^~)+s?5fw0W7XMvdVwiuo`|)Uy++5VYZXn<>%)MVL#A?UG=1U<!4`GIxpJ
zqnxh2$C(AXg8c=_xr>aCP>0y|AX2JdUEUp<jw@o_vju^8cq3vk-9UoVI4s>LL=0};
z_5w)iZ+wUhq&*gw{1a}TLpvlUyE8g3ZPkbHlgSe@t~S{D?;LMa77J%OykVr~XHdk1
z*y#KjAE8sPaH<ax>NoD`63JQ{HnGGCVA&-%%b$c?NO*2zlx1~Ts51;ZKfT+^0bSS`
zT$W9ti%u?o^jnPTe0Rvc^%uTmo0T1E=CSXX60nkCC9T8Xh-R3ul~l40<4by_!-8_s
zX?#2p{Ghcv`hQ@PNE@6T;M9Qw@rF6@2S}%961S}sw57D8#qi)>{hDY}7tqb4LJDw`
zcfHlfp~<PL{W6tZl}~L4hg2YT=HZwvhDILxaX4r`-c3u%*X-ifwOy{i*7ERM!e6Gu
z&2VKwre7Wsa@28lk}&@-r*r>I(P%jeF~}>te%=;0h8lPvQY-3Bmjli7(NXj1db&S0
zJi66)f2c-WYT4Ol9j_W(ahS>~*TBY1OGGMvGQP>=h`RCE`L{A9C%|MA^h@}77PkvG
z2sip6e+8Lk8a8MfHXsH2r1jomE3#aswXG;zajq76ZKMG8bao<B97H%Q?(1Ew({z#+
z6*Yi9N%oveHyAZ@bw{Jr?cte-;{s%m4jLD<Q}VKYG^YZpMZDFF-unl+lGixS(S`9j
z2~+4PnhIOH;MM~{#XVD@zO?vdRM*#cw31EG8t{fNDRg-WO<j7`ugK&qWUR$*73-L<
zoT<wV73Y8|OrfK+fVQ^O(>JwJP}7dLyCPuzm70UVnbwCkH2b-2O6Sg=g}ohSxhlQw
z#B8TpLpaVqD=$1ehxeqm5{udbKRapUoEYRr91h+)(!-9dL&97QkTs?}-mla)_YNT@
zJc}1RQLv2$*}WjEaJ#tA_+GVJR<C{X<2}sp4;*hWf;TMrx>FBF=AZ*Kmk@ww>f;^&
zarE>ym=v+VR<sjMB-<|;OBpv0j}o)-#4~c!2Z1~e<(vGhdmgOknblE6%~7rouhx*0
z2>y0{Ox%3esqhiE%02rR%?|9g8;W5e9J&Rg_MG!PPLru{NaX6~^c#&6b$d<#_YQ#r
zLkSx#;VXk_VnPr`4}t$c+<h8)5WA&;njk#4({K#A4wL;?PalH4^le}+!XcP=b-@4u
zudB<?9y&NW=Jndsovc+Z506H&*PctT_$G%NA=Y&3-dUT9=z;eBV>ubR1!4-}Bmkd&
zH<h5eV2TD+SnI*HXGOYPIhvXT3^vh4LjzNG=h9~}gmMAmqP9zlnejFCr|tpkGn~jB
zR#x#@h9hWhEps47HC}ZI&c@$*)YgD4E^QniADi+F!+dP^*_Ij_NvP2ivb7ZtFDgEZ
zG<7gaYDGJH@Ip8$5pssW;*Eo4lXFjE++c?MdB@J_Z4#GhDPiHjMeCc+d{aA4<*?jx
z;tLbpc_Ckgy3&ysV-|(=1Nv(`!^@t1pYGz4Bgr*etXQ58C1!;Dx`?^hXY79SirF>Y
zG!uJL{_X@?D$cg+OtN<;bmG1pg#A6Pdr^DX?_f0KxOoEG?Rx8i3pb-ToBpJXkiVo<
zt1SwPb;iR>vIuW*JXu{kb`Ds^gBHcusezJPea#GG=szU8-Tq^XHyf!K(@iB0`pXY8
z%U@?GbM}R@Xq7c35@oQu52sX3HVFEAmFf|pb_Opdv}`@@c%AUN_1q?ZaLM%n4Yf>i
zt9SMhn5uuE=C~cCX1E3h%J5JaeIjwoHL5Il&e)&r=Qy<v-Dv=l3Or6Eb>qc31rmZB
zbMaa+_rQczSC6VQz-C~nYd0rvXrYqbl}O5LZdTRbOPRi(gss=M`b3?Uv~z6?=f%rF
zt$b+*2Lr)s10Q1xY~X>2aY=vHZoNwUdW%GUKfjZ&z$vbjZHXqvXsiBM*{l4<ON96F
z1<CY`TobkA;bBu+;PQwgj*!R=CYj+M6*mdy<Zo1eNt0@R2VRi}>FfImH~4SA2+dJ=
zU@(bcO1M+)nYI+aj1?v&S9=i!HvrFDleb?00|WssTeOj(;iA_^DtTZ(p<1gu^GkwK
zK~i$r*L>&BSOw%wq~9Is1m}Fkg;P>e95q45T~%^FrviuEh~$Goc(>>Y6?T2Dx%lM4
zXZ`*T29vhA#Eb3s1z<_s*ZTs4j(V!O<<3G^jhFNL!|(FvqAALVZc@{We}vYJe)-RD
z6Q>nlb8r*t=IL^IMm#wFzBB7AT&#|H)xw0m)R#TfvwsY+LW_$WigWnyaEy)3!CySh
z7@wzzbXAd7ywA#^wsYq6+T9CIP_xZ%hwgNQ05Z>w3rAmf{~wyJJD%$Q`(Kre6hcz=
zzR1oVB^lQUNo8-@*?Uw*Wo2iNT#~G;Y!R|aTr$hvWbfa(KHr}|K95hIPwst>*Xz8_
zc|M=#d3XnHo*}ErdP|e&F#`}GhbJa@0<KeIe~4b*L7H8cLu<5|&&5=Y*M;-NDYN3?
z;jNv1tIz;p{HMdBbguxX)GqVG!^5@BZfi9FMZ;Pm*g6EV|4g{^8X;+vRU|OdfR%!c
zeDVGx9E1()1$TF~=iLwvr#JuI^2iqL+pxm1{F!BoQ6>^=oW%kf%62XZ5WH?ab13s5
zxxn@y9GMHofQ)kTV6hw;DiU7ezF{my2jJ`4nthqJM*HeD2PLmYINQ!ZB8vNwM%N3L
zpv}K}!G`jF9{>eD6VkvbMk-seiZp-qv?{a`ya8ZH<*DuFsy@jDs6?bw*yB|);*>e@
zMUo7U*vMwmm_P{!v##B~5+E9yVCp$7J<OdWYGR@@V>6J7rgqfKN-)$dYU-hL)}xFV
zfHO<{b+a+}%O<6yK=t{=4P9aOw9WL(6RvS1*%UrkFIJ3pe8&s`nI@DSi3(&USyX+|
zUO_O929|INClwvt>B53i>fg<b%CF}a2!kH}zZO8kqETG>558^UEYuak`I0KN`fQn1
zlZ)k#HA8RVpZxyro~sGtX8p%u?kjPeMsAD(GoZpH!@AURKV}>glrPdO1DKgaA`^o`
zHxJBOpIj1w&OK@A(}U(WR?K3F)+(Xu$+;Mwn6zP~Afr(u)|xqwZBNOcHbUe|I#Zk~
zB^iA^AE1@bu0ju^r(?U@zI%*eZF%*`HHlb+NwKb8<|YloUmpeq6H{Ycs?#pUXn>&|
zHy{T0EV>pXiJAZ`73Pl1xhGH+*-(}pH(O_Jugfmo^h7Gn!1jiBtv>d}#27b+t=u4m
zf7Ru>CVZ;_mM19#&9_&V7GM&jVHZFirGqLgnL1=&2NTH@jZ;)}bh(3#zW%Lni;%aP
zNph=rX|UoY{L*%$=gJiwPAOITFEQCS#eX9ZTf7&TVIld`PJ4_OhnPJWckG?@?2S4$
zC!bm@i+;??#s&jy#D#>)hfICd-KPD@{`i$oCw4`m(68BV#eTij=#*Ki2_NcKhyz^D
z`!oOa-s<ZgZoa|%`Sh%PQMqKHO-`OLe>!(TxqVjfq>fD-*45Lhh$^$E@~*@+N8P{P
zPDu)3fcE{}8SW5g1{BaPSzFt`P!g&7;;`gFpU9)iZyCz0C8hUI#r{dyySkPS+sLVZ
z7j>g%OX|w*w{)Jv@$bTp`Ub<iS5+Y+D%q08vfmZwE{jU{*YHpEa0RgT3t{+@a1$;5
zf}bR}NI3MwWtOF;VM}%EiV+Zego>qPn+KH%=3UArli_a>^7!uc{5fER#6Nqj$)*^J
zU-RALjGiC<29@tbN$$z-PB5TTR{m9sc|$sd;>={V7fe-TjRr5w?~c-lAye#xWI&<W
z6O^SYEdcb2Ns6-03{XpcR&}kDD?rxNQBR>V+tRAb>XyE8hgF$2M{G-LD*&BuHm4$u
zv(sOil+~CsX>`fGS74=zWO8nKojNY8$xbfh(Iq<P4X_~W#^Ryv%R8@sl&^S88NmPf
zOJQC1`}=oUCih#9-bb+9Oy*>qtuWcHq<c8^3Vz`x4b9kV3@+lyW$g5H#2sSrXMQ8w
zXspRQqYI+$PqDK$l8it3RFi*Tfzj6rWSjR?Wx>J*D2g(HnM5|3<~QtQ507)R`fQrH
z7{|+RMUzTay0OQ1j2T_3x(q`-9V?UJd_e|05nJ)|vCL;<V_P~|s(gX$Sm2^9pGxtz
zF?Ky_)jTzXzCz}!H^J?qVFf#49f9!dhkmzlx(jznY8;AfoK^%Fk$M>+$atqZK@Yho
z)nr=nuN7-69VJdQ_r{(G8Em?<854*n6q^}zcg;BFYI4Bty$dKF3p$3R(Pd1RyW+R2
z^G(xxAG{vt4G=c<I{sGrdFTSF_40DwP0#$edk_Y?0{&YoNkmOUU_uPt4JFC&w^h67
zeteDm1(uu+$!N(TksNtfO774{+Aq{9$~|_OX5|^*EjNshHZ=IdP;c%u5#hS6L^k3T
zI0e8CE@`t)NZu{3j$%_wVnnh|B$^Ik=tPg*rHCyqhVPS;hFky-`act*HA!h8k>OfO
zx4Ws0LQ>#%R76*EYc7A^cjy;v;+60%A0?7yGerq}D>GRXeqitr#n<v>c-g!ruS;WB
z|3Q^i^TW`>8YW3ZLlAa=HXNBxjjroMirc@C?BT|r^yS8ip|>YP>}xl%6jT1;lt9{w
zSY)Z$Q;qx^sN1AWpb1*j&Fd};yQAN8iu$6)FKx`$9UDjj<bcJElBDc}w~}N*r*6$9
z>d*SZv`!&ex`=}X>eGdhXfQO|Dw(3Z*LH*E&y%WmN~mUzNA-h5xE2Y{jDOTdvzdbB
zelBb!bO^-J`=Rf;hgg5RJy%1q-n>=!BjSm;p+>uBZEBmT&{VB$jV$B0>zmqdObgnZ
z|IwlH;!w@l?V|(WgN@FAd#BdY)pc;!N7{H(<*w`t(?nAPDI<KL@3yL9w8Uw?-kSKu
zFwhwWBGX>?m|Aw{obHhOE6Rk?sJ`elSI~LjIKyXQ@P%xy1x}})3+@cEQfZiywWKtn
z611g}+}M<Maf^4iePvtBfQiyY$n^dfJd!>QEb3TvTv}Oj`dv17$##6_>8PT1w(5|h
zJH0S3@4JqfDyId=D<9%*SzEN<p1`*!64iOh&$s{UMaC+J8@j4wA-+HHwL<%&!CvX)
zix)3S^n93giY><2<S=zADAGDpv)mu_IR#0=7cFpex_SA(XNw0qDf-vUiY`h&h*)&y
zc^BWI)PN61YlIvYU&cbHTgw?4WOJ?enzI;RMSt6lln)|%1GVv1cK`#sZf<_kq^x8G
zYx0@MAR&Q@?+^#cvM(!J-VBfetX8w9I(qa78}a`IB?Tn9tnOZ(v(MC*W~Ss#fKPk6
zx`xYF011UP3Ni|?gx4>m6XiWBspv>~9w_AEaK?ChC1nb<0Jo8=38k&kb;oYdi_G7e
z$3bYl`d{c3f%$0P1Wjz3>Fq!Bn}d_s=6+2K|69f;-fK-(FlilT13PnMFOGK+^;}2W
zSQ4&O*@6A($K8?v>Q)D8i@ZF9{|aOg*yV=D*P@Ft3pLJOywDMErE`&>z@+%S(dQ#e
zHT+_m<ODt;e*UZX`;u}BTZm@v>mpk!9hGmr_dO`?10wY^0UlyV?SIQC7u0W}zeIdJ
zbva07g+G)bomsgfsBdsz3)yvUg2D#y{wG|6R%Nf}fr@3q3!*Z4BWvvL{<ZZQ>|F`}
z|HY_>jFIz8OX8@l!Qn4-QFMHArueo=i}M+g5O0ERP1uZ#msmus9j>@~85%b5hPq4G
zjqJ$%f&;1Je<9%W$%*esxk^7#)ANmVl1vzmpvL~$qovw*1Ru;+lZgMj>v%J4+jYNP
zh0nxe6qxN{T#BF2ASR9e7q6zOF0bff^fqZq2i3{>S^`M$VT0=6p8YODYhb}SJ0}P9
zi*BtjHyaW}U>mJgmLThzniS@Nhl==Y1I9MG+;n~xx@4Cq99k|QTjmq)eSjaynk8{W
z!z+USeN?ZF5U_F}t-FL{FE2wzN@~Gqn~UkuWyr+Nn;O;!i}<1pcr=D4mich(068<~
zffX(Q%{JqhyqV7p<nXGgqvJo2dkx%i&P=K=j?MnmQ?2xuGZy9NcX~|=A5k<0kEY=w
z957(o0Fue$sm%~Py2D8(=!=JQ)S24ilJ$9nzc_wV?`DlcF?zvAooSkF{8oKW`5B%=
zc22@ZTzg41=L`sQpzar}sLD)bLDzujB1u|;s{B#jUwK=!Vp6z!iNkNz8;ecg2I;f6
z4{!DTOZr}IJgb?YO$~wE0)toCTmQwm@_0~bqR@<JU5O|KX4t;G<Ta$`78X7e#EFi7
zv@JFahvJNMSn-V6^u<z?S%DraFOmT|O(4Jt;g1IujSZ#t66fOr!5d-GJZYB`Bey7~
zOj(GGHd>{fpE)}Nhim5&R-3JzUw0hsmiX{wB_~m!E`<+Lx1iwQjRg|KB#!CRYot`l
zr1`vo`n*?@xjGuxo&yL4?|-Bjh=&h-A}6OQ`d@!Wy{PhyQLiyf^Pb@{SqAO*&`(zy
z%lszZm={(1{ra9-i$%9$HH@yiN;929G@Nf1?0Ujw?npz{9^E0}{WC^;Nt2_Dr3?xU
zo%wT@M_y`RyLW$eKz*)LF|DYw@^&I&d%|;J3qXfKilJ9A8rs&iGVb+v$w+VMb;Cj;
zjsdL?8y!{KFo)gfk!`nvh0RRj;=(KOkmkSF;_whfm!Y;Q?_F@tit%OA_(S;Oi{u=c
zddcwUR+T3e1PN|sxjf|p@@q_tg2m?%?uNj%{r7?Gza8mmDU836gk1a^Y5gOIcy+YQ
zn$o-gu9W}icc3i;{yD~|llE7&V|@Fow~O?z!)|@)@a17pJ;^O`>z2TxuTvs>>v*81
z;v^>wpJI+~GcU<4V`XHJ<%nHeTWckI0#7qIqPytU^X@m#$}%SHPH9U2Jaua}-dK0S
zQ>}AURpNOz-nkycq`_3&Dz%3{tA7q5v8Ri{I-*oq6PR=gsvI?6Kn!u<uNU0{aXKSE
z8Rse8xN}#twINMqfeuIP73rLbla2kN{6<$`Oyu7eh#Y;B2mBJGe~UK&RVaAgZ96i)
z2$HvQ@eA%l*K9^ysarz{*eqOT?Gre9M3jiWUy=4BF>++u+TI>6w|zSJlY%hYG7g0X
z%rGzzn=&CJoJl5)sv+_4KDsyF7T<#(QZaXqf}`bq0`JxHd`+`}Jfx`F!&*Z^8K8me
z*@ScGCh<ew<Ex0tjHyH4e63BNG?1Txs-$4a&P5%87`cR9y#-6FL&dNB0@C)<DyHu1
zSTo9n&aZFck-hm2?USTP;VUMc4iKu#tAOr&atZzG`}gnIxdLu2l*F`S(#Z<UfJ5|l
z!8DP6`i3T<C}4y(+`(#8@CG!7JTwzZY911Y#Lud95Hiv{%#wZGL%X2H$I6zr4#x-k
z1g~;;ga3fhZy<?|9xI}u+#gnbh-D&-m4+W3J#ZLmXfgu7M*YHi-#Xn5qTK4%Cm%mj
zEWA{yTLXY|l9&_GFgvM(Z6bh2^tDQ0F7L(H$Z^Wz{X5iN6%x|Y6Jv~UxCq@iOMwxe
zKaJUO8rSJ&JPiFwuE2_3b}ff^69y$B_V+pawK>th7N?fRj69Gt*|8T8MJWtt>0Cqm
zbrTu<;sdE$V-KGh!(tcx?~pKjwBeo{>H3}U!}?3h5bGvhI2Dc>;WaZ{!1lo*o;;FD
zldkd;F;Utaj0j6s@78*-O4mNO8JaI82Vc2_H}V7favMIu35zAmrEB+9D=EI*abV=H
zRDHjgdwdUOeLvxX5CX3Y_rH4>ZTs=#wb|32=LIpK9}^*^8Ix9)1@r=hu1=lvuuhrb
z7_5~;LS>4M2{IB1f7SB{#@L*~F%GrmlPB!tgxc04<<V`-adqcmk6m#0A7?;A+b@<y
zFtES<{d$La2|WFIVlZaiZNrN6>j&TyY^>pPB^imD&g}l1qP0JzBOiVI+Lj++_)>bi
zxD}@Um?X|>Vc?y?k2R!My-a{j?aUHCxVT*;HQx8H1;55H*J!SbE>%#)2?|Ud9fq^N
zJ4(zIjysPFbA1M^?x*U09n@C_UuCrZ*TJ|{n=)-UVJ~r>si^!9Au9G>x)Iir`?$wr
z6K7$h+j6lJH%DI*^GvWj9SiKjGiSrzKj_IBqw2IbJ`<6Xg4!te_Sq(CsA|07?oZpe
zx&a+&4O%duZQFBf*Qez@Rw^TQEyNbPFNksAk?50zG+&W+o3x0ncq!+6__Y5v{Hehq
zxr+y$iXreuP`oW|A3*UIf(HpH#2k>MB~NTltL3}ET-yPw)H%{fEYbn)aQs0z7^qTV
z$#~ucX<l-&vtyjWWhMh|NwcBGwx^-R5Sbs%zy*>-YAiy_=jq{KphB@Zy^LZg9}HmY
z4wrVh6Ko_RCg%Czn-0nYhC~3Hl<Q%)F}eEv1sq?{=KQzqHe!nwd)<bK=8yzT(GA)!
z2y`j(e3aL=Y)MEF8a)}BqLUiJV1j+11T(bm>g;q+os;)2V7iu6a1d1{vvZK}Parr5
ziUm;49o~fUV&>OYQhN-?8mBlTBkh|@VHNu|88N>r?CDN+aPCCh^~akh1(`Ey|GWH^
z6whsH%bzF#)$c=7J#?LOn;`hcCZGr#w*jl|y~>SG_S_@<_bs)y_uz?zPmTKcW6SU|
z?e;kJ;`_@7w_;ysQQRoo6ECZXe%J<T0T&;rb99JsXw%(@u3X9PUpPyV&@nQv!S1<d
zP7gD-_!Hhk^`)2eL``Z=l|SQ<8GkkMR>gLzK?}`&yQfXVg0I$%uf?=w%GL=Y2y_)(
zURnfU!4vE%Zg$c8?t(zLBarCV3i&mEkff2CSkU(e@9N@ttDOEmU2CO+=i!#N@+gR;
zFgE-KCul0xCnK?_3BpE%;R2~c_G5{>vTH}PW^0Pp`DLu-2b+k3>i97)G^`-*|F-|o
z^B^PeTy?Zvr;u^!r2kgBROL1tn99c*K;KN2@96WRn#Yrl1+tUp{|hHgd@X={^__2e
zD!-v~ufkA_ELxtH3cBmv{O(~~63joB$)tH)bELfiZHI9#X=d=NYXAFH0rC*=H%pTg
z8KR7ciVLL@GymwUyj|JXj~DzC)^<wWVKq1httiq8TJg<}@h_#`AARrUR*gp(*eJQe
zL5x_RY$|0$%p<j}y>;Py=H+XVlb2^>Wla@Rkahlh1aZd0^gW*zJNW@1nhTV0=)%i?
zu%J{jr^)qGD=WeL#UzbWgcoltiXx=>vM1C3vQ*EzCBw-nDbO~JLbg1SpzWD)9JX=I
zTRMmE*TH9ivjgme7Pmd!8ojx$DWNs8D;t&fc7YVNNX!;B3o=rOf_J&1N<FEl&vota
z;9#)Y6*zTl=|(J^zYY3EP+PS<?vDD&|1*?Kcn`$o@cO|pav4E{SWhpu^{NeO1+oj&
zwPo6MYs4RMM#}XtwH;bJ@RDd?yHo><d^1dr<bo_YSkEPdPKhL~SJka~rOL~e+qN1P
ztGG7@cYrS)T0?YS+9K&;ssRZ96H8}qwAS{^OP|aS4GqCDSy3ei!10~XVyvW@8GBUv
zUxsU3AAd>z)pbR?dQ572v9kG9aGLl#)tunqVBu9hKTx43CvW-qZ9ptXYY+%DQ7R%q
zNTyonUG7>*<$-ZKZ~nb8?z5g%%HE#@COYw7R%MWq{1!WlW2<!MBpSS4XU;>kus>Nh
z{S~=_BJqg2{?wuGa<E1_w%th<QwnW9w{N@rn-Nf#znK5}HIe+20tZ04LEiWL`SUS@
z4WnOrTeMsOAqzf{aaEF2u!(gu)XrLq02zdnc%2rCi;1H@iiOvNS|#&cb`4t}j>|af
zrb-<&et=eo_>TOwkaF#O5V=>J%sKmfp29RWPi0%zP^5VL{Sd5+sm-Z%^^9FRgaA!h
zKJ(V1x;0+a2)lz2?(P{CWDP0L^795h#Z`$q2-F%#v$!}lio=5fhIO?N6kYHrvPBne
zsjSJ8muDWhAA*G5!rXlD`2JedoX42i8~|ct&HFkZ52fGMg<xA-fGT&r{sQkS*~D(F
zhPu3Er3^mN@5r~#z{X8b4rmJ}sj!qizHBdjQ!tZVEp<*2DO}l6uyzP)8?5k3wbpYL
z62jN)kqShYFAta3Cd6`qR095!{$WprmW1{93#3ou$|~=ly#X71SUuwEDALHcafOAe
z#@`hz(J>lUG`k#2<7)Rk%Q8$BIP+adE+q9|tnb*YfipAJeW7$K)_~Y7-FGLYVmStB
z<2&7y0;RaUIbTRr8?#Ag_xqK%g_$$b+-&wVzN>fm6GpMQ1pEw+HAx1ZJUHEYFwAiR
z!Um_jyjS|YG=FDjIV2aa^L-PUTdMBg3#-l-+eq3-Dzi<@dt3-#=j<i)zP{H+<xu}N
z{9|)XXr$!iO}uJESeR{_vP-`pu%~2nqA|2Cmk(!&18#DO{(WBn+$10fvy|8-WJJ-b
zr_qIRhh!`nIH{#FA4qF5Qf`?T#1znMR^&}Ru1cj`<TBwN$7lXDt|*YVk|@5OeX7$r
zfTU5dYug7}F$8batp(?Qyj|wq=Vje4JQXzO(Pi$W)KUd3heVG!EF<8*ZkD5oC@4oA
zaUFK1<%uK0!|nbvH-!SNkn-FS-O)EX?-@>m;YE&gi<!-RD6H1M`g#6Ac`Y#8Hj%!$
zI|r`_qF7b^GuCL2qy1O*T*;sHtof=~{Hj=z93Y7n5{L(J^~1u{rO&0TX|Ip8-4_R(
zfT2@5Ct+d(vZPp4^U-^%APnbpvPH=-u$?NYIoR7r6ghZ8{%7+MWJ%8i!|T@P+v2-D
z2Y441{&t2siQ7s+-%g;+pH#WYCO}Zt@Ezt98G$^~${V&6sOIcT+-VGFR$*)zt9!y_
zOS}IAt83mp?q0nM-HKUuNmqIYQj&UW&GR7g$YhX!l&ke-NHg#Hnfg%@Ah=0M-WIUw
zyDch;Jz_2MAJlq=zlJR24nDLS{o6m%8@B+TJ&jzhRYmRqg`9r)_@LrO>3e6C;81G<
zcHfES-R5I7c7|P_Z3&}}odo83`oqljb)RQaxawLY_jREUb%OZJM}*>fus3|Ca4`^Z
zTD#`620eY>VCc12itl1>juZ%zYu6hu!8ofe^6vfKUQjg~eCV4$bfz<beh4V#szX0(
zFKujWSe1D$#+F1DW)*%ll+)#vlb7~%hfI&tTy>-z$ZBa};rP9MS+{DJjxTU3amSAw
zS^f#1qV`>Fus)re{#&<Iw}y9@9?hKTEmXU<@Cv$)qw@eYgXpRSuObb+AP?!HqoYAl
zd^ihc$JX^b*03v1OaC^oHY6rwCv?mVu7|~<(AxQ_5H?$$h(FUyv*^B{bVaPy&-txW
z9jMeP(r|fOV7<tFF0OyP;OuE^+}NglA~P-gQtkuf!D*kbMkYDQa*ZuGgK9_@b3YV|
zxFUw=iFbt@0i-yBVN3rGmI`~iyIsXnfQ0l}bxLE(#EPAJPL_ML4h#HF=KS=l{)}ea
z3l=Ii9da$jsy?T&m3C6dLdxq>V8Zj$NpbJ0<qeb<HC8iVIYo)1qZeDM!8w{G;~!OT
z;oF&B?7tU$@Wp4rnvFI5czqh?t6%%CRzNfycz$jD=(o1(YrhaLA3=*%yJLVv2i;i*
z)+ZH2cc;&xYaq|+{JfP=l16(vE$X!V@}Jjb94EPtyR%Qye*JFQ5q`)W{}APpx^ThB
zkR_OM7er%d%7QX+r@M|nL{C0|hQSInj@C-J*qfhMB;Lh8dRqsrKah&i<NL0^qWkQA
z7g{B)-oT)5=V;CVTNWtO-`2z)R>-I7*35o;%uWuRThg1>6nBmk<*x-QJIni?7Toli
zvspQ@`cIzpYS+)@V?P@)sV_Oow9fgq*%%zVJirKw+n}!IFD_PPgdLpC?dt)|QD<gw
zn3IV>Nvyz1Q(1q)px9f+`fHjzf{#V=oQL8x+UfBJYbm@*E<j%xmY9{G^}FuohSA0>
zZNsEmdi>Hs=!k`7(Z7&i09q?JC~inzpIm5h)k5V<%n}qOaCI;;GTD*rSESvhe)XC*
zE~N(mkO@m~Jx-OS;|GP1e<~}NYUg9YQ{Y}WV#~d!s;Vh3d;_<67)&rC?P0MoX(C-A
zO&ei<lI@TEhV^%g-w<^7`#|~l<{41cI(nB7ELRCYfu3blCHFP!4Gk$@%T<;`sI@_n
zs}<|^Ab=#<$;h!~=&h*!(973@eBltZV7fKnJ)a3Rdt*2>8fUeBx*y%c1JVdMPrA1m
z?#P*$j`)eAzTA%=ewW-Gij*}KIr@GoX(6KPs|kN)H^UwBFswX;HgO|wBwy&t-gcp%
zkDXn(6SP42c}FXq+dCbu?w|Wqz@@%!z2?&*9#NIp+dyCR(4VuP?D|N;?HUXXRUhfL
z*f{3xM?c0T`;R@_e$Mxu<!6?B)eAXnS#L%tG~(l2y(%-6vX;<8d(cEGGw6?ViD~`7
zM`CVVU@YXT^;#L`_hUc+D<dY_BeFkdo``&)6%3(h=}+u}qsBT$KBdhRAGf5aXDBVQ
zPcZs-xz7_C>Oc}DC8dY)_SH*9Qw9Ax8)IQbhrRaQq7x@QI(2I>{eY(Zjea?_mP6#F
zwU=IRqK(&8EXYiKCb`~7OWafhfWe}*EIx>rWC~wkMEvU^l49qkVw*#31#h&)fh&RE
zK@N0>q@7$qobE-OiU<kqa1;_}v_herujMsIT;Fy%hr`}NiEQ{^g3W^FY{luww3pxR
zW6&LzL3}x!URh4JHT5G$F9~(fD5V_l<wNv)G6&RN@@5f@SJI#E8|R|(Rx{l;OGdiP
zqn&)$al$X4AwNy56r1}TR2@u1@zuI-Yd}0-Yl%XSMh1Jao+&jg$SqVZR-uOVmd2rv
zMX94`Eb@v5&#oRU(>>6SgL@+&9fT2jUFI~cks4QJxH>q<31d-#HClno5LffH#CLNO
z>%7GsJ(dX&y|&pFrA~D9j{vB05cQuD>3?iq+agtVK1<DrO$#L&?)06K9-rZ_Ncee%
zeJRCzjB$(_>f{6r`XV9vC?wi6v{rwD1)d{5!&Z&{6ygL1r$B@|nd^}{Tn5Kd7%r_&
ze)-CkIv6yMjXmqTey6*8_pZ_0#+Dtb=lw}uY8;^IGVhXncTh%_aV-TlHP_Wi^$TK=
zakh-If+Z*xgGaig!c7n)eJ3Givg|p9omY-_U)+<J>L_~ja}61L8gR~^^3o(^>LtTi
z?Zth3#UaO=pZ;G9kkdcoxPMza@&)!H15!JzsT<-^XqdP8K(SFmrZCc=PB%dVG*p0v
zvobg^CUsqb%YA}#1e)}oIY4@w)R1P0<{<H|SsIH9bs!-`Emy=h4l7xN`!XDu8YeFv
zMqt?0lylaP;7Uk{X(gWPxy>%pkaDt+4-lA{{`=4m3Q%|VJrZsj?1ICm;VX1NM38u1
zL*=5;Ad(hv*%#Ukz-J-h<-alTWB-AlfRIpJo2mZtk8+su;q&!z_0k@~&~z)EVr9(Q
z+yzm@wKSvGkYO15G_KkCQ_j=nRob__0yhQ}IbuD>Lqp*+c~0jlig}U;-r-$Ekh2SX
zm<YA#IXww2SOU1Dcl8e<8H|8Uh(;#QF6Wq^*I$1AGAvw(Rc@zCT5f$)-=+{zcdD$$
zj*jqTet__dIM43r4=f@Jo|OF)Y2VkL8wI%2T6ZxTozPnUsF4(d!3cXe7<1J1>;JpY
z4mLp7I<9C(Q?jL2{7YM^s?~oW`=xfiX=;j;KC($X#Q30{=78W<d<V~(3GB9QPam(#
zfdxyz7(=7yaR5H{A!T5Gs~-)7lZbJla>4jGx5wU%&Rt@Z?>Mhv4F98Q01O_SqI{q4
zg9ALJ8hgzq#(sjiBBhLe(Se0R;NzoTD{mcErz&6$h5q(!sc3NK;E3(^feyaKl%kIN
z>E!HV=5j$Pwa!(V9Fl9Fw&5i>ZHHrC-(4MNVWcQEMw%63IIo2SyAnqzA}J{;y=uoh
zDR*U=?|=R%Cm5~j>kb}AX(A5iZvJM%UTm$z^#-Ob)=eJ+d{Xfv`MyIFeaU3lVA}={
z<puol{6Qa&{<SY%bKA$vb#7-ftwvH%Fs94gU?5PEQU=smMV5)nWUK-2D}~@Go<m$W
zfe50@Exm^Gf&Cm}b&X&G2iOG1*~OIKeqPA5g~dgyLQM7kesamR)^CHjYAN1x6MeSX
zO9y*<dw16!p#qKO59^@!uGCp9tWOHN=zE>MA!sv%hqbaOmmlL^xg)EAEGzjkrhX3z
z7FjOTIZwDeQ`ykJTqL90Vmf9pc4IDO+VFnDrvP3#=Wm$^8mwl=Zo1uQ>93{7(HQD%
z_O~$SVr!r}B{-7&K{$`efL=J^2lGOVlb+jz%jJS4DHsig|8nJ4z&poE30_`*m3#kf
zKGKWp__b~2G9S+WWjYs7lNsdN1NmXib960JpawMA`<^&NjpHOXyBGB^OO(t{%jZDb
z*go5D^vDVa`epbKRV`c0xq24!y04G(wRSJALjwUgxAhy0PGy8jvY>ww8D}jFUjntw
z#)gBgL<IIrx471Y$z<%mFvEPDL*ju2%ZsSmCv2iygg~veMX2hq_^eG{8h9OxiNa7H
zcua|;?*FBY*hw3C5NFA(NLM{xR#PK!+$?GFs)DY??$zO~KApL)=J~^()vAK(x;o$a
z__t@@BG-t0!U<+i%Wap0N(igTx(OH-e3zD6?O~A0V@KQhKr{XXXR&-8L1AMS+i9}I
zE<%%Br?g}cEbutI`Szl1|1if9c%s}Tx8pecDrxQZj0?_~y{&DpZBM=SW6b8+O3O&$
z4TP@&$w5QqgYmlkVd74rV>$N9bLXnM_|KQym1uGV;v88Alkkg)wVx&eF6d(xho?c1
zF4m_kw%@m)%MGmcI)Ary;_P%VTm1oDiIIKUC&I-0lMX*yRcrN$5w7>w2-+S^qtG#P
z9`-F91ZSHup76YT!1!~(k->yPDloUlPhmUZEvL*2HOHN)3Y!rSrHUU|Pm(!M%d2O_
zKwVsxXXrLBs3Hy?RI{_$J6>T<sWyTtB^tRkcb*<vz}hEZ&`QO%<^D_8)kH?<s-AST
zK0SW_B-u&k&ie7(O7s-<4C?LK`3wqRSTg&N0E(q>$D+WpI@|=6YdZp^6zuzJebrMU
zFry%K&ek5<LZHa0|0k-0vOGhJ)yWl+w^jN};}6;NFxx1!<4$H(+g$Rti0^2tYQ?i`
z^W@V#O{ug8XpQRe=IdUl``+#N2t!iwvs<=!fg>SPPZ(qb<$mpAo;xXoDe#3{{AWwr
zJ~S6VGG_iO9l{~ijT@dGC0&J)@#@b{=;8a-$x}{Ejb}r=qBz?qj2fK9_W!gwi%CjI
z)a>4hGsE$Z%#5tI$PmZrVjU?Q=Cq_CMpPA;^t)rflYwZGR7O62sS2hlJWLx~mHOAz
ztrb^x&TIx7|C-ngflr-Ts<QjZ4#UfpSzn>I4X(;S>km|SaPM_%oM?Q8GhPUV{<5Y6
zMa(oFo1K1L$N93n(_}rv#JkY{Io`ub)C5qUT}8Ft1b2!mv{V~-{Kmxw3Evqw2=Hn2
z!2SwSt6i;^EAuo6{C7oUWT@=I&RIu*UJjtq7xd}{T{sQX%>)SWh=c~a`srU=g?J2E
zF!-Gi7l|f$$+xq0VNVy_{b#!UyccI<z4W77>!M`%UJZGe&ke&x?al^mdDemjQEr}F
zmYT%7bpM2ag{|f0H`@7w(A>|zMvOg~=I3EcF*wU2(YlyeUEGwh{AL__o7Mzhfb3vm
z-9nz*-#bB)I5J~<_4ZUAD*bKZX?tuBQomn6QIl2wwc;u|7o*YfCCbV*=BI^jwG_0|
ztp91+j92aU_VDwXg3Az8xk*I@DBxVkl!(5zc4C!hYhJ5<G-ocoV)YLzVV((5H$}j7
zDl}=&VrU@_ti%i^j&Kun3_kAi<8vxV7E!p5nUSP!Px8{e9qvNX9P5_dv{S>UgBw$=
zewCcQWDebQlAdreu^J<ySE>q#iHIb;&dZ<{=I1|RG19h833N=s5_m9ba;)eL*Hu<}
zY_@-%n6^7^wWO5H&=hn!=7w*D$8j+5-_u~B_}BK$siu<|m77kp7CMe|2l*Uh!qiON
zO7L<r{hZ}In?pBt>_?ZMYRD7Zlqa%p)%Ipj55N6*W+DAnbPg}yYvM5=A#oJTa4aKd
zZtq%hQHs6{=Er|25?&ljf3^?;&lZBZ;va{utbi!y2v4@g*Qw^09&)PNrxAFfHGBUc
zCPl7XT<5WIaoJ8fO%A8-^C7qMyKpz;CY6+rOSmqWHtjrL!sS3`vTK~1zUwn}4;P_M
zZUk8moa_b+HnkxnVpZUY0>*AT1f&ADL)2uD6dS3trjWCJO{^4Z6`gS7IZ%{&4b98A
z&W~kSC<YWhWzNZe{_7zAh%Za6qVB!5P!i9~=rr<>T%x=C&e;<xgF}wN*?D_+w|;ZM
ze)&rz&6kgL6eWDG%!6(6vgpKbf3&<|blB<`LkhIuAD&JZJ;ZBIT>`V&(w}cMtE@x{
zMpi^>Q~PbVJCnh=`O~kHhci5^mMD3u;ghd!8tH;bq%uW93};UW8;0Sl7OJGAq*U?$
zBtI}nQ2F^OSFT%MEL!t!(y8yTvcT$^0D*nh!gTW+J&JBO4M?S-`#lp*^o}pU{sMO5
zQLzc5dnuV8%LUB@b<WCFoTOuPUH|$Egqa`O;HuHG7kvJ_ymEfmX?k<N?NUzNLbvPV
zM!jkc+*b?Cu_((MCv$;k&y(rsasY|gPbil_?pLetw`<?Y{8LCpAg$*y2L;3T;Rw|S
zdUa%?{8zqryCryZDF`(2ULpJut#4Ma)UBH^HZJ0^pe&R`Lq+w?!^=In=FauDt)#B7
z)xWz*DUW!DS&WCDEZ#RtZr6s^D@d2j(x*M3STHZKoPDB2wQ8Om`kMr`oEi7&Su~~U
zWg;T#!Afi_3()6*q$nU9hOPi706%WF7NO9HSrY$iD^|3gN<N%ihCe0I!<=#p?hWJ)
zyLw!=0$_g1>8#(_^oy;V>dOT5={ZAPr+Y7`G><4@q$Yu`S<3fm*SmO`$(}_twQTQI
zr~Ji}{y=61DlLYK>!HQP#e9gp)lIri>gZw(!uNLxUX)O>!DmC@GfKI17F4!hLR_C$
zP(y)bC0Nh4@-ckJDke{(Gqep1=n(HB+MwpjZKdggVamKMphR?4>;D27C@&F{ymS1~
z3d<;Cj8X8MoNdo0FcW3klBHhar~s0?fa)7vf50<scU_J(+UOcXfJm6(9JkEf63g6r
zMDayL-5TBMeW+fclV2vIsJ7t+UtE_tNM-(9tCh#DUe8)XY*Dc7Jz=1$8=CoS_V?&c
zOIrvT2ochsZrMT=1dqS45SV);iwReB8{mRDS>GzO^A|cwYUNJ~&e@<iELh%G@>?J0
zZ_nbcr_O<4I5f=Gvc#g`vD*lF_3A)6d?Px{{$%P}AHl$ztAzMQVn(dDh{=`vvjT7$
z{tOl?Jxdhg#s1KvHBo;uFP@!B4X~@W+5?S5z+rIn-^vdPU#6=WjO1H_Ne9c_l@A^$
zA?4-e(|j*9@miJr7D(j|H|Z87{$7{Ta-aSF=a=+qs9MFRTR_u-x9IGF-ZzR}7Jp;b
z0V2<xzp`K`aFuF@U&ZO!vmf=7!L`*X+ia13x%Gxmp&K1#)m;B8$}y(yyB$(-Tt08$
zpN|1DR#T2EzT?RZE%s%~lVKzBV{8<fof*+*avZ$(@9TLHVzZ$?!UN0u6KM;s)s?!d
z3wWe5f=OM>=b@D?hM$Nj7DW{l*)ikV0<1kk?Qg?9MegYMT0V65D|&Yr#;~<ry(+g{
z@pom#JWfR~Mchk$xZI~#!W)Ecn5DqF<%TC|lTjp%*P)Fj;cCS{n}1Ewg_aAx4B!9$
z&72YuFpx$dSST_sAi8V)yq`V$_=KzO@6tW&EB-xodEetLiKmJ~w^wcIbo<EbiVwR1
z<n2!*;6#P$CkJo6V2PWX+p*i;$0IF4RsiX5Rk*{BUi1DZgoe3AP?xguSzL`<8!@Mb
zx-R>n%#WL7wdWgPrrK7Ss2kHi9q+lFA~r;0!jc<k67S-GMb*Byenshvhv;#u&(m7J
zU!IHQSkTf3qee}R+AS{;8&obHF|GIhaK1>CzS71!b~O8WP9-~E4};o5XFchUL5)Ul
zGCz*2$f?WX7jtpOcl<%&VAq7?SkmSt3WhB)RMY^|<K^mbG1m(p(>_LCyYLO#DSnkz
z7ID5;jmfm$71D|D%%CJaH}<GP@V)fzLc$p}jzlMBKaE2t#5~o!P<``95><-T^yNIK
z@fBAz1kbfGik*PTcId<Sez$L`x3_mq>T=!wvetsgWiOeQw`#_w>;emwA!JNUOyVV@
zUbXtLG9-A~6naegq0nC#_^1EIu41W*JK~X>9+Ch-h{!?|<}(K`6kb#APk#U2UD1M4
zM#6LJ<Cxv~hE8E(gyBColbE02o0O|Lo>g`e`=-Qnv9U`Z&72|Grv2c$rTI1IuFL@c
z*A%xEs9W*q5a7q2Q_$rR_9TEq{MqLo`|(3#7DrJM-k+LGo<ng_6TWly<1kcPIj$Y*
z&Nd|rJ2~l6I(L3w{^t$Ki8NnWc~T(l$4gtkjZNyAyM}iB?y}?1zs-E5{mnAb73LFY
za=@NN7(yBuO_zGX9}-AGLDQ#N|M-zJFqWobB&E{VZEmE;$JrB<iE8ZB<B~Klq1AnJ
z`+Nn<z$za#KDC+IBVY|kY$nDSP*vA`U1rM3C&f{a4g4E0n9V1WJS+&E0@Jzm-UrzF
zB}4f9*;Ya(B$<ifB4p^rO%p`(D}SFOCTDLN+^qZwLs@FQb^-hXR6cgN8<h6)jx)md
zUDfOh%HwjDB0F#p<j)O+Fye{XF7dAxI7<%bwwV2Su7!-*?H(D_OCImr485u3p<tJ6
z?yT|MnGygoV_HxBON$Lh8<hxYGu8NI_hFo<a&OR<6fCiZkb+i*VwAP-u&ZZw)RS6N
zMzPu1n4&c4vH5^J$HI9x{9Px7M&1hu+SPjDE9Lr|{O9(<!Y)tjPLYV+9BINML>#3i
zS8Ys=9=_|DGwA<v?kvO(WAmC?RGgVQDvapEjW(k9=2|+{^~GW%p`-5eHjgSw(YX|3
zzv8mB#`ll2jIKjEKjY{j-YP<L53RYZgpRR$*!ONs#r|+ogIyszovH0SMXSU0plr*l
zGC+p|2-0(!ib7fxbe?ONMhk=%1LCKqxPu{Qkj1!krE4;IU0NeMm#BzD_e9MUSpL3y
z?<OeH`n<gO6llc}ub)&V@e$9!PHy65Wn~Rlb^IC=MIyq^$)NaH;pe?8@fx3oZB+e^
z)2l1J{uz9qEdK?I7kfic-rxQ2#$tXtR(kLJTtIpRFPg5bwv5gMhxSFMQIoy2?-Wi{
zqRD)nATZjME*KM^roiyswO<6uVlzODCqqDtd&JJngp$0{@;CqYKOJ%Wg|#*4lMbKy
zb<%SK@gy#`&2;<+hq2;;=ci0@>%Ia#SH%yZFcBzi7=}{V_2||w4NR@f`{)c&IH(5!
z`f$>R<W66z(r6GQIn3`d6vOe4?^EU`y2l_(?LTV&oPJ$XjuhiUd|Y$(S_IBczGiUQ
zTdHdH6L;Q}wzuahMHucC9%M}?ZFbEpxP)2WFbN`C(3}geLi)MS5i_UtuvK;`%1H`*
zj6orrL+S2k1Rxl6+WtUpH$;(Uo#^^&(7c`q<RvK)69*^%Y-JkqS{bzvcWy^<EVwF)
zyKOiF=G-FzJ$8V9yBkIPpg@oWWn^0_j=3OuT_j;?ehObwl&X(qv2)seeZIe;=mp=7
zQ_xL`o+W3oHj_RVpXz8Cjb5WQ-qvflsB>7WLgz0O*u=-#`M=v?M+0@7qS~rVm0L=2
zt?92?cJ;#N@!!90r>GM~<c$WZPTK}NOgn|%uV@*Aa$9Q%iL$~}#4+YY&TWoKcO6a5
zN#IIStYjY)XT8|ZtL}R&*Ix>-h75!t0n8ezAVx!z?ZS`!h;DGgIy!3o5=)qY-yoHd
z8-+ra6&I7<kJPY&_<`Vs0u-i6p5ZX-0&}MZcfdOL^xK=<o4YLWzHagi_h`O6^4zK2
zK%xH`KW0Je>g$8YwSe$!g|KR!-)Q*?SaO@<zoC9^D1%SZe7$M@48=UeRwG-B;K{#G
zYMEFb+g=;1V)l@;LdeCo^^*-QB0Yvs+`+uzcY=v-zE+R^r0`T_5gY1!^PiHw<E1=_
ztDW?T_m#?O%ybg&ZZ4zyrH2c2@%yaG%Dq0pF>74BXD%2}Ve4gVoT*=!R4*KTU<(G4
z*b3B>U2;4sN7jYpFgDQSq6;-!_|%9n?Oy(Syr`?5QxkSN9xJ0P_)WZ227CMQ8_U;C
zK+BBE&AqwldgbpOB!MR0SU|~I*qmb}C3oQZ<hS#!4tDz0bk60U1fH=TpS1gQ(f^Ht
z!EYjH%?f|DAsvK4h5t|C{E)M(|4LuddJ{Rr)<s^TSBN1hr3ZXre55DO-tZb-K(M0~
zsmfCZnmJ<ME>+D*C%mupjj-Z%ESONR><S)Br`$^We9dZDvyYivWDZg~BqeBJVV->;
z$%tMrD^D`abht@P4Vg`_UsJtE3s?b<aML~i3Vj~afe#JJ{GJcG79w+QC_WCO$G6kd
zd6H%w(i*r$)bzu&e<GyPO)3S*^m^~5IzatPTb-!ch8e;0i7l59&}iryKx-^iUKG*J
zkDC&iFsPi+qY!_)-}d8Cg4DrEEZFPnu#>a1BwQ7_JTyES!LLAR1P7wD=ufCQW1aLc
z4%FSEXu(+2@sSuSz_R#fMKA-h+LmH_hzybbRQyCtU1poDZGGLnPB=0qW@2>IH2(VB
zsLNPg<ln#f6yg^AVRjPF+QPE})KK7MrURmmfyME*aeyF7O9fqQxu0zou`%O)`W7~5
zTm3Qj5+Pzd^tzNH-~6_xIyvco>;=@5b3MKQ+jn)TRHt`buQ9Jlk$>P4MZ^2)LnWSo
z^=|!B7o8VTcktEZ{O?psUremuZkF79xEW78iPP}q^HggD^b=eFwUJH5h+B?U`K!gY
z-4>YW4N8O5<9>UgBv|ibRYPU%ddL|Y!Y0-*ITLU1qY6sax>~7L!I|AVj^_|nxUO-@
zUVdB<8x-}3NM(WnNkOAoCU);TGYvO}?%q~`S9o+g#`!M(8B!1rJ}$1+D~EM48klXE
zoyJbSbD0uU^nma?ZEn(yZr{O~J`{+U4~imW=i~n@p;pQjLSj698&L$1gckt=r2GR`
z11@7C;WVv$Dx2LH;v?7VrDh))n|{@wRE)SPN*_jQpjHwCwNR3tTh9&-#>P?PI~SOh
zVh9MtlD!-ce(UY<LH9<X7kBNPM@UGB19gvX(g>7$4vf)lHiccjMxn*f9kCyo49G{j
zbtGqurY4)YR?^;>LiL#I$X$zpiQ!h&l4mCQml1(RoJ9A!_wzg(s|wtz#{e+j9C$gQ
z9+|_8*Z3=J$4C6Z^kJ07!PZuoEdWsj>huIh^GdX>#cPLLP^qghTtIJaRWh^;5l`H*
zt!GW}qPuZJY<lD#el4<*x5n?(cV15*tVnxh!IKNuspfPZJMxH50m<iwmtpV<bGXYc
zGyg*a1r?30on5zXWeM02{#*bU3&eo6dEU2GpdI*q4Ra39g!#4GB`x!Z=Q*WqG~`g{
zaaH<lMh0!-R!h2l{_WHWWCpxbX8jQJ3A1!bnC|{9ire_OGzjAd-&66$y;0+$yL{w?
zfh%8ZQMnK?Vfe$a^9{~|l-qA#S#lmSTPN~H5#2jFLK>qrqc-+Bg!3*nJ@@tXU2L}*
zBJ+*jyo11HYOXu&py{GtT>FIufMz9*#zUPU7J8;)tUV(+U0pKfUNFaSpd0BgA{f5s
z5l((!*9PDzNuSV@!+BcEL=;D#*(9ygyR6|lG|)-!=OWQrF&dxr`l{Cs!G=P(TDwZk
zU_~m~`k@@+*GN6h@p``^$};M5@t6({L%_~9z;nITS{%;Sv0W?DL;JcsX-bm1`;KOT
zFaqHo()uNdSo>L~KpsIW3GDyFw4Q@)_GO1m{~KE)r@MGeO?zxdFdWOvBo+)5px_=U
zr)i}U8Lr*ke%1c0xZ)2#dKfwK!%C}9WVcNR*5`vaPEm%)oj}ZM*JgEz7+-<ZN+C#t
z;ssTe97&<2c{gqBX(a|hkNz~^<hc^G<;91{`j>4~g6Br}yZqSc+#bXL=swo->fsG_
zgihgjzv4$BSo9M(NV#P@Dg6)J^viF4Y+U+KzElMz<Qy}25C^=Q3;P%yy2bvs+=&~X
z0VF!nx-8aou76(G6u1SAbAL;{;#W_EoPp`#i;JJ8L^PRP!+(pm-<uI+CZ<4qe?jP}
zf#0{_?CWS10#)3HP?B>a)+5n5eWUX&I3zMm1}>N^@^{=nM<#C7ZvM%Ik(c#RUXV8G
zzodUo-71)QV&#J=P;Td>_-*?b<ZYDP4R1(1^{{8Yn0M+NFgLmNqjo%djGnsI;xXzG
zIo7kk<|=GQqyWGe7tYqmjb?igWHhwmdMQwby0xPIYrL$lg|u&o#_x%V)2%z6c?^|I
zfWhm;_mVAexToSFVAuBa`0Wng`t-0Z_HUM7=A_HZ=G?HIDtUt2&NTQj@?QcXPfTu2
z?7E>>r9Xh=18o1Y{E}W%m^BcIdHm6=9;1aeY256TK$0=L$As&P)tsG3+-^@1CtL1g
zw*}*3NY`d(%_~M!em7bsg4YcQDO0Uct-PTttE(xh!6c3MEQb<P1di;sK9nf&+Ne}~
zG`e1Yv{fDR4?HF6)+VZoi>i9J#F90lZt0k7b6%PDT;l&nfsjp2+_z%bA0z<oI6H>b
zgv=`<K{bZ}he_q0#gg@!hrUzE&HeP7T(SKuc;9fyMJ_9{PbGsSBVP0AIu#O-LsXEB
z%}9&J6MPz#wo~2V&`aqE*WKk#i!r&Sprw;8&ML8hULHIkCVKyXR=7XjVk~T3aqHxL
zHEp73m&+I|kER+u<$e&ZLl|{P1`&)%c=WYZ&}6aAaRibGU}jxoNk*~*Ubd=qz_{nS
z!)2}BKQB319=UMc^z3VNTe9BOR?abRC(+<X>2QWen!7nEfsEV4#H8ntT}TMrURr+5
zRE}$ti%C#v8D8A)uKtk2eynq_>4fq7IhY>QG2r`v<zJu%lwo-T+AtZQ&Qo4-GJ`pW
z_Z7*xIcZ;OXaEB4t06a9C&cH`r<q{35Br5evPaXL-vq_nvz?EQdO34RzgATp3>cUj
z8|06#<x4!1uZyBahz;~{;Y6)<l+zNjR3z3`7I?v2(23pXt8Ssiphg4JAnVZ#aGS3K
z_&vmf6iJI@0HaO9^q9~iR)f_ZuUlouc_Y>x35Ar)5i4_-C!?+Q6SI$x46F4E?d|MZ
zHU@uOVPKB$z=C;O_GAoOpYR!E){@G9l>PQ#Kr*zKHyRhjceoPZs7$R-UAqOvBLy}o
zXo^=Rm#sbaQw)&20&v%<>AQDrrd%D+8;G^^9I`5dY-Z=*whvzmKx?CWes(L>@r!~U
zVKG3aDiPFfD+pV9aM86rThVtq_Pt52P$0vTN!8A7b`h;{UJ*J)WBygjurhpyN_4BN
zaz}$clTGQv{jA@_uNprtRM{0`AY%6Tc2d40da``8_B;Y7Gk~xO5dYv%|G!`UUklLx
zcy6@ohy4cg59ZJ;&V#Ow3LHZ)Wo4WD6YaQ)LN@V6nO)JLD-IZnzL)c<s%<euvV!L2
zOU-YeL(Nt`n?D`oF?gBkH2zF5OKoi6I`fPC;)}R<geYkQ&=l69oJvRGnFoU*bAChb
z&bfcaSFcjUnM@&m0QReEogLs-0Yb0QVBX^y@9Fji_2lcF?X&H!E*~4tuZuru;gS6u
z6Ttp<M}PcoVwX7(agf5w7jc1IeC<&GL)0y9Za9t-3THj=C8A<TyBK2{_lZ-W8nBU%
z=#2zX$Ee{^QkYrx#`O!2V(#vYB@Qf_%U#5XSRnkV1o4k={1=|unEk~JS?Lol&Ly8t
zJ4ErjqjI5AM?By8NrhmKMM3F}r_#(u)+`t2k#rdF**siDKN(9dB~y8wWB&dk^q$eQ
z;5T%XVw#7dV7sWW#*G1gl1vdrRIenaGiypjqrHezwscN|eDAW9)3IHyrspt@H@{Nn
z*0J9ZsoY1o5A2Dxd}{^rzK3mdnE{T2Ot{YhPc$wT5fO3kMFQ{%^P2Uiv4j|~QpUy4
z5?KY_RJ7whE{ptPF10^-5J8F8dI+yy-}OqPej8e@K;x>j9?$m7VxHcHd*I!vNSzyt
zrjDZZOoB?`$pu`U1-n9zCT(NmbCk0Pw+?w$No7>iq-r<iH=zZ#U}>3=Oh(zqp@$=z
zzu9p)FCEYB-tvj6)TWQp|1<uWON<wh{(R|T%5~!73(nBfk+vHQ7a&(LQtM$`SKVD<
zpR5+e{WHm66dki##S_rW`Rkb=Ov%%%E@P$16(+|~Yrn|(n_YLggf4%8OTfSN@>5b7
zdm${%7tHhKdhQkD`nLP#YKS2>G0g6<R$eSKhg-E?_x@=7rMu#@b!r+u`+j4ksFwYS
zdWxVw<F8qswkjdJO!*V<_8$k8TwBp)el{yu{gDsbgd6p!F4nTJK`+AE$Fgbg-*Ilk
zn+x$(&7VW>-u^*ui`M+|d);HIll`rE!Nkm;RhJ6{v<e9PruEA3{d15Z393{e1#*X+
z_+0fLrpIVRy_y)d&}`0=cfAYcE*|bWsKNohJpffp-cUUKiv%c2+b$I^Rl$<6;F0ae
ztcoQ$RFi4v3iboAZ1<4%6P)JxTEwTRX#gUamrz}Ju@;ofsfVF5iFsijmF228O@K%z
z`pMEB`n7m`>GLOc_o#aexNrs_!=}FWJzK89l~Di*0+#PB1SN#`-t&{-u-Px~yl8Lr
zzaVk<lxr)Gjg8eW+&wPy$SH^lxq#^MUuz0<le%G`uTM)w<*~y?kA`N&<T}0yJu>6g
zKxA%m5Pc|1#C&{D=pFnOD06jm4n1vM6x-~mM><P8N$@uqbXk)y!Uy9#7B5Uy4#zBP
z+~Hu)$C6fJ-mr5LFtuHhq!PGHd89I~Ec2{gL(o~vKdkCvWnOmhYOp1xJol+$DV=NO
z#Ot~czrDPAF9@e>Wmx9Vqq!|3D~8Qa+;KPQK2!6{aFWRM&_yb9^U}7E90277RYnqH
ze06U~{*&z`)oM|gQE628!Wmm4%bb$ER%{p$L%_f@lse}>x^18VjKg8y_pUwFIV1YN
zY?P+vWtwRlJ9w=){&>a{N{`MlgQ2F+V-jY`q3pu$?ZM3Sriut45X`;jj@ZC_3TyeS
z8?dnC7JH5g_<Ji;K(DhcAw-=<^{*vw!b5efrn%quuhEKHeypJ9dI?vaZin!oxH8kr
zSLSN%4c!kvg_z`6g_NwY56$(t)7;+NezldeP-{XGS`0?K?Bu$blwg-G`o4(jd8FC`
zW0JR<L|V`3w3)m*Se)h5>CPAArfk!=Ur4#_uz7H_f2lQZV6lYqsk7c=6qN^R-DkC9
z?FYoU62FvY5LA3<aG+)gXl3undRj4yx0Ec<^qMNRn2}Rr&#`Q8<oDh)KWVMPJM$RC
zSsDNUwS}~l!1liFYRC_dD8&ctrop!D3g9sG=-ArBLlmjIR)81TRMO-+rS7yaa=Y+m
z%)uo{J3VU2KOOca)$!+@-dzLs8zt$zSA@m25@udZM>2z~+2jV5w6x9B!R0Uy1Pubt
zulXt|(C|#>>BKc(?|&G&DBD6v{xwYPJAbV32xqv_Qs+<O2LXDjh@kHHCVJ1f<WoJO
zruQ|^7xPXXye4Wpvx;g_M=W_-c?C<Ur^gFxJQF+GM)S=9{wV@0$-b)}-oXATTw7Ht
zjRp&iGW#sOLQGEK_{I&1XQ%V~>vvq^n-;8{4ss4)?7Gbe_}D{chkqBJPo?Au*GW{^
z7Q)}j_w?l0UaFd<@@huuTkXydEvR5#_JM!kgk=AYCG89IsOrt8sR3^(x*#L!(j95T
z&rw%bABb84DmJ{^n9DOamQ9pmy5PxQ(Gx1Dc!Tg{Iu=3`0^iHZ-bIduVg6eu<`SsM
zhR^R!C+?5Og5%6Pq74bmU+;k44zi#>VX-s*d@W$5<wDJv<y;$P%40ErqXGzhy|)mV
z%zP}CQ*z!TY65YyCS6`ao?9kugr^K)o3a&!b9Vp4aaSd@|E3hW=~WC^`JB>K{NB}T
zqX28JDV1T}Wxi-Z%<sf(TOM-C$WTerRtNI?D{wm6O&s-%)S5}}&_<A}{n!~Ht}~F@
zZ5#1BoRA`wQA2@fnKgQt>LoBsC3Gs@l-;hh7g2XiDwAk_S+|CyH(2h47JqDYd9|Iw
zr5Uv8!*m~Isc~>PoOaJqPN4NA>r6G_KQe{KSh6zJ2d9Q4v+o&mNh=D8ZItk?)IDia
z(m;XVUAG7H_oZ-MuwxHIz0G@k@okV1XgWP>ySYByS+T8`zi!m>BCOxDmX_pig{$z#
z^9b4>L-7vO!A3Bc0t_q=lOC6FXfq*;_t_lI|3O+?rht0%^Gyoh|55ec@l^N!AMhb^
zjIw8BWRDypTR54=KDJ26-g}RbkdeK&Lv{!mhfpLTdv%PE>=m-_cU|A#{kZS*_jUEC
z^EsdQ`}KNG9q~$oldMgKQB8suVJXNk&bW+Z##o?13lnI1|6cjn({c8IsD)BR+vg9Y
zv@>fsMOkop&@&^@#boLT(4sbebmlZefoNB)c7~T^q0$EJxjDZJ#$T?4_u}qB8Au=B
z3&DZNj=cj`0|nAGePqG-q;T?E>P>e*S26rO0{yv?J^&a)EZ(N(J634FYFRS7o(kFd
z5cOXMlBZ$bKSO>uf())g?~0-zW)<QD*~xXL?==ppCzkKrxdVoCN#b_KqsruOkN5E#
zP${u>tYg8oK<L@$cC}GEtOodLZ`@kET(9QqXZ>pHYQ=@*uavXw7@!mgTAK$<$sn|R
zjaw`|=kmMKMrnqJe(|q;k{c5$rPj7o>L}!JlH4sYams+$Zodp9x0WnzX1gbdB8`oY
ze~5C`rtbsbNBnZ2kJJ6%kJ#k6^wx*J7=klmQWR)p4i4NUa;@p=4veQ~Oaowgqfl9q
zZ0TQrl2lvF*hL_$syoYK8Zo0im4t-LVmsb#NtN@)RjedTJM8?otd>Nz%tqU85zBs(
z`U+B{>b<Ut|EBV{>0=8WcS>4Am{$tu35NXIFvn7w2(bNx1nhg(6JbHX*h2LRfYTgv
zEbMt5Uzlh;wDB5gr#0ONTNSX5xxN)-LiVa&9g@QNv(0ICiEm$@&k}s&c-(Y-P*Q?(
ze~*zD-g);QLzVU~IN2Zlq*`AG0jMJ_^7qwE9z*)Kn^KS}D3??o4nYm>9vS?_OhsmV
z22`wnpi8qKWN%~XYwFC_b)Gb*LMDme!-pNMt^Pa9W01W;Giz+kW?rG(Mm7V%T4-pL
z-uQC$d7kO$(hK9Q<D(-5ZO^OZXuvNjRDINMxDWQr6uT?{u@1YF44ne%?<Ay!(%ZsE
z2vKBV{jGLRNMFt%zXJ5LZQoHuaILMab+)+AZNDHC+C=-)__5>)Nm$A?J)=A*A9D9R
zY-l;m*8ndIAicprfuuX#_N|PgXY)2v)r&n$AEF<x%mJdH=Sx=go9X<5o$1SBi1N1_
zNs2chBrQeFRO$9cOj-;Bu-s`o)v3mQVhzBM1K}kEralHE!j!bK{a94O(=8aq6*=9R
z?sx<P%4DE)LVf{TP!eDAZahaO7mzv9E+0F!)@XJ}1}`tHbzwLVQ$*Oqv@W1Or3dCo
z=$ZZTDj{A4S`y=UfL<OJdk1*?nWSemRl0nrj|tZ~WT9cY;Bheu_k#E4@E;Eloy2vL
zpVO$pPTV|oLdNu+`s>ro`fcHhYP35KqKwX5WI~v4CU4w*K{Y}K9iNVr0N0Azr$g0?
z`N0>H?bO~clDMO#n#0j0&o4Yyhg~p)%)l-%@Jz7Di37a}k)1jM=J0C$d^ZVyOUvc+
z&hH10>lzMNqbL%$qzOv2L}kvI(+Ak_H`;)@IntcQ-+k4&d5Q?G6pCF&DN(&RJ;w%l
zOK9yPoz)V2(jC$d^0|8yfDSdi!j?rhCe#@TU%EgEfd`C7xhJHaO!Cd~%cV3U4i=`g
zKjx(DdoB`zP=WfDCm-e<X7cYu|52i*_4Zpi&>fi^6E+>e>pKJD3suypx8e=vXTWuG
zfU!O64Vyz2wjG(G=t>C3-=3I#>;UIeQ<KQy#Enj#duA$y!nuI~e)DhfL-HAAf&<&a
zEJ<*34ohO@J9_Bd=uiB?qH8)e;e_RcyP>2Rt!1&+ztXlme0~`8^y%W(`TltN2|A6)
zAEAPhrKM6$jk1;nYNr{@EmHWf^4L4~mW$`e{f**V>aXrzmlr@N@AGo;4Rn)=Mg&X$
zL&p63BUpv<gvAfDwbu>J{{;G;d=a#g)L$X{e0yf?VQ?j|+q=v#V)-_;EU@O!cwuH1
zACe^DY|j-+LP!v?L^ncBQxEe^fuDrx6+B8Tp4M{s@n8pt6@d5z<wttVD?X$CD>nYC
z2DE-$Jy~5#-FnAul+C#>%c)*)itG2BwT6d?1?s~;0V}ZKmqb^?Qb&QQq;et;X;*8=
ztMMe~&rr6L43T#=e)B7dF(CSu_!SHs&)>g$(sR(}s&LN%aZWmEKRKLTM#^t_!JC>w
z7yG;a*H(EUpo*N6yqyFPp7Zmipp4Tqxz;y0Wf7dEJ>VN`t=X+EVvJk@j@#dHFLttG
z8BYSp6A4UHxxWFXh;M+7k#S*q8r<k};tVQ2J;v2dLAxM(v9Zw~U6Yb^>Mz&)`Pbvs
zmZ#NiU0&9k>=RB!*-x$3`}?~bMb6vJh5{eTh>1ZNKm3k6FK6Mzioh;}ozCwAUK{w<
zDGu04;L+g1hY|62eT!2XU@lI?zWGI8RyIgj;-QF0<n>e1v!j19lnu7zm-^a1Q%x4*
zZ^@N#ABt&@sa2yVg*@-2HhX2yScPYf*H;-=|2%&P`Bi?|keIwZoM!-f<k)2-q=Qax
z6SJQ9=niqPO4_o6$0T~_N8LM3NG}KN5~nWI4d8x#BQz-n4~d}d+pmE=M$jrGM(H7C
zT&BqEx=>TmUnrl_X~WqPOPuBa2Gl>2SKk^?21Hl3!oMj76AYh7Ck0kYfunM}$a`lr
z(-fDmxw^L2#nDl1A;SQ<Z>WvP&|qJ<<I+3_c)>Y=&XoFpwYe~&R3zZG4o{KgzuPqh
z%lAskIE9aA97<>*j{M^bsM=b7uzWSll$_H^d65PHf5?^n{H9d&d~=JFd5LhJ8;GNM
zK{94GpAdw?A-Nf;&LJZPgcO=NVu{bvS+^-mJ58YUpYAag_)eD-p@<}fc`Y(xwWb5d
z_3}t@p8pHW1){DgA+GcRAf*R+wEk$ZcrH|vQ#yjpkuC0<_9H0mojV}0gK^!T-i7iO
zDg{&=8CM@;&zJ)?i25oVK%@SEV7lON3As*xEcM!4@+L&<o9Tgj-<GA#d38?Sm(nCg
zP9T*9X$L^EkunNI(3`D^BeAhf=-`KPP?eL+<n$q_0DW^oP6%U<a0|J&?}{s1s<mK4
zfgSthHscV`z1%$xl1Z-q@eI#^a}Gf}t<%Gc{{R(eq8m8;Tdm&uISf9XppU18$PZe)
z$HhisLez@c>2<%{e-IwEGS`_+LrXj3WBq={v8J|GGo)ovSpK&dfA0ETwT#O&4g`?x
z5GH6CkfXwgY&zaomS8hQbg#TD+c-J{25t{MQ;o8*Qo9Y2h6Ceorz6cTXj%0}!Mk;u
z^5H?QMnXaY4@zt;;&s`DiAHZ~(Ir(SIa4Cg8|UU5rIKz}d$eH0pLaE1N#9cdmAt_h
zzThTlo)fL*_neFf46J)jxX!|tV0c7XHbu}LPa^O!E$h70*^2H!x?f!8&9h}W5Xqu{
z4rFv<aKPh%XQWNR)^CExhn9n)|5G#g15qh4@qp&a@6?(1AMd>khgc)|K51N7Z+&#>
zP5KOa7C<6Z!;iBMA7n4IrTDCKkC+?}SyLteCnEab6)^0<3-`9tL8n$9O>w>!*Xq{^
z$^KrTi?<QX1olOA1=sD~3?!m~Yb0t`XUp{YD6b-PCcCu8j*dCP?zLxVF&%TtmI>X{
zSvtrs5#|UfRQ%-_7Yd-Gkf-MMYy>|(ugP{HHe>6;^*eb`K-_E7k+oYhAm-~X%@VoO
z`uU`R2?~@qATid^@XyWxaUBo(X2Ola6hYo&b(hJnf~fIwow7U!fo|X`^<)N@ltF{?
zH&Q|U2vTVUq}An?QW+>P(~O61o#*(dNc2};@(4jt&w@~0_tvY*b88c^{T<q2Rg&?`
zt<J?G8K?eT<*F?nZ{)D7Rz@!4r{XT+LHXZJ6gPI+{YNjqe)pAq$TZ_f)usYCUe&7_
zi$TAL;K9Gw0t5aFxZIfV-#k8?P%!R-Uo${d5h!qGg;Oa|6TA?M?=O3HcCf7`qg(^U
zsz?NyAIG`iUb@}6q|-P6$*y~TxmKcuBwZcWa<e2M*?CY5eRVPZ+ky8TJ!<bpO0vJ+
zZkKxi@^MarKw3+r77Y2c)w*29EPeZPqKaTp>r)yobrog3zuN~OPhXinD+c|vbUFq<
za~|9kCkw@fxb&;#djsiksU0~vdE3vZz=ecmu>*6P-yI6i7t(~x_yBv(1pOg)yRE2=
zjy-o2`daMuKBC0_?8Lwsu;FW2(x74o-18|&=8r&7+0>kmb_KaJpp36`ntYm#_E#ZY
z;yIt+H=S=Yd+kj~cb^?Ja?$7G*SJ&r#tpx`6%yQ}tvCC!oEdh%yjKrQnhgiH0$u1i
zo7u`bvp}^Nkcq!^zxPjC75487rOZ_O37XpT)<9bS-U6PdDcB8V#CJ_WRYA;5{4$go
z%A95evLe8RZPD^VMZAu>HN1yHVdUZ>kU{~VxE5x<HPjw8cJE+059-@bI3c)-`U6Bp
zVEu1!`SA|PojsT*CFy&f%{Di+ELKBAMd#o|$~89GH$>@hPn@>0IoPL2zY;yoq#&67
zFvzK<fquskkEvy&CeqIyurtohKBcAS9i1H=JAQY^x|9>A7jn-TUqT?}G-n+$9+x!@
zq>0im2r%l-KMl*q{(1mvG{w^ga>YGLXB@4s?+=KVr2wkOqR#i*#tAiub>LWFxZVgE
zJd}1=d=4xC?SxFnjIYV|^*3=)DJgF^d%cn&&z}g9Ng2^I`^3*i)F9HMH(OtN{eQnP
zJ`l6#w`u31*~EeQoD`)29dQ&%-Y}WdzT6z;GT=H|><V|e79^MGHhRTsAV(6AM;(bJ
z!*^3dH#U~NWmL@{Xs!UFmOPV{kcwpY0ZDtcQ#T;Y@=cD)Y)7$_{!#|(4Wkm~_1?Uq
zV#Xlj2QVG{Chveonpu7&Dk$reYcD(S=NX98OsAKLUk3ijC$-d(OWU=Ke>8O8tfC-g
z_gOSAf8|0D<zn%Etf|vMPp7#tWl0rR!$><9j$Xq?<DjM3@Z6FVu&U2(voF+@#01wF
zexIIx>%n^a^Uyg<L<vIn4NHXmY;q)_B%2wgItw?zA`p%R`Ju(`c3G1{$VKs{8t00-
z4Je0_Uo-+B19W4$)ZzftwJas3=ohW(YnF&7I)B%qdHOkK_1dX`KYPq;fB(|kXdq1n
z0?QJ}JWuNfn~802kggas6F|WxG@fQ9&?~IIS^Z)rDdZxz5WvoJ-T(yg?sT5=0?se-
zHJz#5UN`!)M5NZvFn$e^>z;uiKHIACe3KKxu2AcZekD+tu8qsa6hR@!nV?)JRE%V<
zHhTFFaM&(9=@@*p-UM&n^qC8`k^Zb#jST5%<LaKDloJkz01O)F8@%=!xkCG1oISxG
zK1@qXE8+yKnK`g01T43hIJ>%Pp=+%>jG?Bqrv)WNbOJ*1LW>_W&3mUsuY+a2yOf$V
zd|o;4bDE1Uin1@re74q*suGQtt3{A9YHDT)$AY%YqHgxNfj?JlO=#i1Gv<?v5}>+(
zAe-1KV|i5@(NY8Yq)6aXN1hTvQJEBg<xE;B-LA<|A^!%Ja}&OVZ`uDCw(Q=+_W%4E
z7vA(uY{a;Q@|t7W`GdLFo)&Iy`@fpMZhJ}qMy*}3U8vJ!%FA>LmC_yVC?Y8(1%5Hj
zCpYEZzI_Yxx^$jS-Xwm!smgb^Tz3+xu{WzcvK#$WrL>awI4i_!U$jgkS0aUDj~vgh
z-GJ+Xq~!ULO>>U*bl@*8R5xs^@gfeF!=P?eTyKN_W5;U~F0FFx>_8U)FoH-HFE~`?
zZWy*z=>wsGHyWX#sW#da=-4k|Kw>8Vgk8YPzxD$g1?W)FN~ki|bozKRvFv@HZwZvG
z6<249ddQR}9SL%>K{?KvkQqOO1d;)u%YO!$7cX!nhr?>r$bL3!#~F$vp#7`vv331E
zeVv_6-;5~d8h7O7AqC%T5E>^MwV8GV32m#=Q-k+;dDTJ=nSOU|_J1IJ{^sXT$EE_!
zD-rC_dv|&y;|~E<4<jmb=DYEsWr64hSW;;3-tBEs`t2}g-w1?3E>eM<5DSFd^FoRj
zC}NO=qoib(J}wmTP3WKSs?^BTG#98gj1n#;^(E@axVK_H-%6tCnA?6B5YS@4Vs|)j
zGEiTdf?cM<+Uarr<;$1xqc-P9@ANSrUfoOR>mUedZ>HreKkGxtDZQgE?v6^Ncqy5}
z#33H#yqiB#@R$NX6rG?B0mL{wK(}mG3hK*7TO%<g$Qb9IN`Bf1GM?;Pt*^PYG3=4%
z;2wNZt3*R%MCXlb#VYx9!*14OR~8ZxO8u=c`L7-rq??-KI?f3!eT_Q@a<nUa2q2Zf
z7Ar(_kEjRys(_=&`TLa4ySiD2s`qu8T&NkxGyy6J62Bim8($n!_kj#SfO7(n!^|u{
zMUa+I8F2~1dHadSQ`&bY6@DSKWT65`R#Wq}`#B(gSS1>$zAuM9?U(aYUBt&;haArz
zipTTJ9bo!ODyw*R7v;WH;A%C^2x2^Jeh#%q`||&|Y!ea?5b#()^EJvRlBvj&-GX%A
zcyX|PxFWFoD2xdQ?x<~mDVjb#XVtT^%KgHt+&DBJP>n+Z8F{{;EaVo{OSVK@VV?mn
z3`>(~|BX1lg(wHo(TTRl^ICCuKp+Z%ZTUf-Qa%{+`zsdhi0r%q3)}pBM`u%Z$p<7a
zTj141hZQG$@lveAeHBr&<Z<N&?QwN+*&V=O9`-(DpXp$_`9}G4b>}|Bq|KY}`qk%t
zzvR!jff^b^cW^Cvq1bt!Z3Ba84DnYP8yY*Mz?fLu5*i{feu+067RIRGNo(1$OITV|
zx0pkmV49dG^-0I?&$A-xH`^3OOqu*xVB0kN_y**U0#ih`7J2?1Fw+}(wO;J&ajiZR
zTxX1Z*@ktf!9F{tmBD6jh-1E<P<-1hhl)#=0@8lc-}vd1LaZBLxKIDgh7aFW&7|1K
z65UU_&&Y^t_ci+FYU$yh0Zgui!A0_W|08bZHFb;`<&;-*Q`4lg%bqgZ^Avc{=>lW+
zZFUL7LluxH{0@!2Jj(CXyho`SF;-YNd~(+>0=pCn0hPkNhAOMXA7>3TL5OdoF?uh1
z(z#iDO;jebaV|R^yNj|E%52!ts9UZJl8G96K#Jz^$%#v_r``6@A=RbBz@avUQ}EO(
z{>MBrB9fbf*p(3m&Za;LR7-&es+^Npd9{m!!HBUpO-YY~2T`_cY8EdS`TCNWalYN}
zuyLcC627&wGyfRl_K56LSqLs?RN=FM+Fh5-(w2AcemmS3;8@%J48)S#;Gwb4XV%f-
z!#>im2DUWlfOJLIn4BEZXp;|XD=Y2VAKi!`Qc13fI2t#wfG_GY*WjokN4H5msf5}$
z$&OuIn*HASIB!ycMsN4<Pjo;yjv%oIq-$a}{SNTEQX6r=fp(og<SXOnzAIAIz(iB;
zqC$(uQ+yUQiu8SVD%;SPDk5Yd2k_93s|fAE?k3BOriW<5>Ir+0ae;BRiQ8{-@{wRT
ziuV6Acym&V#sV!{>a0rwk3^BjDnwc2+f0;!Sd6bHx0&U+f+n!Am_N?X&o?)VqAl~@
z5BsqEsN)shLk}|w^ul^on9%p9)T&Yr6!BjnWuH>nUfbpjKD{AJ$A!}MRtnxK8XOu*
z8(0NdA1x5;4!0x!%W;qv3S|c2OrWG?!k$f~2pBSoP41J!>Ed!ZV}=OMSBd$7hQ<J0
ztxZuKgl51Kj44{G>tlIs!+Qe{uYaV5<Ne<!mU{PYoFY6bBUf)10zo{#LlWl>wBKSw
zYvA1>C4u9}eIPyHKk%ltG)ZG2-1>7~%g4d7<|2RJZmKZ;|Fi&$9`5e*oPwty#YhyQ
z?A5*Cqg|`kV)Eo_WfpyX8FhN`-6HzA=gX(Dnz?IO8VZsh?5wV0-zCDszF^N{S-!h?
zIdFaDf5dg<4~hy7bqvo3$hlIKDSM%tZx8k#^uS6>OPiXS3_m!;{n(ET*lFY?$p|%q
zJx~W)6@K<!5H|%{)D{-}+_gAqdmgz2Qm`@$@uCfzVYqFMnCq=2RO)(o_>I^)yDT8S
zPzJL=^PCJuDM%1>^;&A?=<U9qDLIO82I=!Yj7Q;j)8U|tTrinUsv(frM7xSsB}u9_
znCG_v=7_$p-*_w)$v@)^asxiq9fR<v)|xq6;d&?BF=3w6FT=KplyHbFS%dlTvRXeQ
z-4)?&WLOfYxJhEI)g*lg4Z~a5QRv5YSKy))!T})r8ur6A#^=K7sYs&x-|KJUzsCNN
zldqclwZH#VJ(=(iNQxAVsq$6*{VJqf>lW}(TnAPGE{l`mO*En*GUTIRvk>kV*EeGV
z`VY~Q>z+ebbdsmzbl9P4Ipi_#wV?MZEHNdavaYz0v*CJ)0C6219boh|<h?2P+A025
zD}cEH=}KkQcTa^L>HHXTv`>6|uLN5*?U6vQ%+Hs*Vz=Q@_MRYWXi^j-Ohsd!RvJ3~
zJI>fc?j65g-;EPnOV;-#@<M8lnxT;P!}TL@_vB9_K{xU2cHA`D(5pcf!DaMOhuviA
z)<wZLTNa|kVF*^Yta=J7{#p()2F6qs+}buj>_HCFVr&MEWQgIP56%g%*Y+eslZQ?l
zY;WGgmBNC6;58SH#TO*SBcD%#hWsXDL6pyv1Es9(Y^dA57diIbz_t_Bql}f6i%CE9
zt;gV37<{`Wbhy9YulTLg9m}dY90%pnH3u^5)e_P3DZ|;yy0>qct{Z?|W1C;omnBs<
zf<<lQfMW{a6Gqp55a7C{u|$WGVgdhEb<*z5RPVa)FjBb}NzPQ|2<<|RH_=2r;J@kI
zvTyLOPeDST3p}jev)Rxk_+)8C(Kv~0X%q0f62wt_o-+6IixTjwe0gCLzbqEN9L{lB
z-PXsVN3&Fwl@hVlPmPC)1pi0R(a8L)>nI^iVQ}3TW!$tmdpUd;>%-CJR7gzPkZ|FO
z%;<aOr@mVRg@Fr<o*aUDyd<csLRwaQaR?{A+sD8KU@RyN$NJ{-Lo)4w8wEW!gdf;`
zvK6bJsF62%+iZFYUQ^ph-QC^ZR^i%p+|Gaa=UlacAHQy(!<2@Hng2CAP0wJn&7p<m
zkPOslGY%{CK6f`cqymsv7yK+7Yw9f2d*b5aE)>v0#p1ey^7g*F>c>e9NnbgW;ihe;
z>qm;k`#d#!97T4sAf5;Ku&y-ysZe=Gs=zT6K|^#CScu*sq6KQEHhCBa0vs{Y@YGW2
zW@M%(M>HcF7U9bh!$wG9d1c(`fDrhE6jPw7d-@whtgA!O;UyAg5tUkReubOL;EPST
zwdmOLiBHMo0C};@Bn2SW;I{4*QM%Zn$QZ)J2sKxHf+)p!k-k1nj!Onjm2a=)p@|>W
zjvyr8ueY?p4?QdEtdd7&BmyUzS|lisu^8Nx1fN)D7LMjrQFoeW7ed@VT09p(BJr7{
z?i1?OU!1GfI-SiLsg1pJdOWs29)`XQa`oOTnH98W&_S>vkLE#tR9EJ!hW9mX4GkVP
z4huS*TJn%?2rjFO%g)sku0M$+ZCjNVw%n`KfpNFgu|Dv3D5NGI`nxBE73yje5a(Y@
z@)16ly*zL8a(8!s!sCvWpPYPHI^x_6d~+u<re>F0DnC3DIU^FS?+vo@<eU60b-8@}
zONa#i&yIiE(b>>&1LBY`Gn8ix4p~6X05D9LE|X5?bo|<Lb#Cs?xNvJWx+{JzKmtxf
z5MM}<b#CeqxHxDQN&P7UX)l=hrz6C>^o*L8dD08h<Wyl<9oi@9=GR;EAV%X*zLNYF
z`sn2gkT;kvELCRL+6XvFDTngc8<`6E*n>>g+M1R-ca>%?WHeXaN{)aP<;eB(AV@`L
zmr?leIIS^o^T43EZ(U*D!x*cv)M0*+X;lq|3+bB+uCv#F{KDtj&v}#(i@9ffOOVg&
z^OtHAsP9_%0yzdMleyhn#e30qcHzYt3Q1bJ&NLbdl@qU?m{D;<uSC>&kYB(w*fxhJ
ztpEr1&X-(d%m)*bS9}rRReKdu4OC&dt1SVQZ7Kw7YIg}sM<4uo{2QDO?M?6Iwig2C
zx6wh^?qRQiRS_nu_oY6Gk&hQ-O_>G6fnRwi>wgEwm@L$^)w6tVyW@}}a8mWF@E{0&
zU66M<G%Dhpot^dHTYLF+Z9l_<9beAuR>y-1-Aip1E}^4W0v#Y59n^RJnCm(*b0+dO
z{i^LziVevs)kd7+ARkM&qGxP{!5pPA%-FYoeC(aX>R{#q-pJ#C!xSWlluz&+s0YW;
zFgXew)I9l-mH9I9ec$Ia-#+J^6Lzeigu!8;;1V?IrhDQ%t2tQpcMJSg*0BO-BON$H
z6I$sAMK1)++Z0A%L%7)B1(dJ{TAd3ZJZ|`6&I}m|Dw{CQQ@qI^)1^-3NatPOKKTG}
z<_*c|eECF<_TZ|L+4iYTpi@rEnc=bW$rzuzJu>ngRSssCP7h^s`o6q1lwFon$FsuU
zYw>QTKwzcQcMeKPOo69i!GE)wRVAJn7_Y6)nHv4IT_3Cy^z=rs06LnAd9-7<%#IEr
zRyi+3hI{uZYTQ>UxDM(<qu7QCRw_St2#|}Q>4QVqz6hsSz41v~0|@-JqBOg>cr7y^
ze}jX8v?0K!8JqJHl<QlHJOn&2-uw5j^pC6l9`!8$J+T{IG@9z_VA6pRHP{M_2@AbC
zFblA&{o2*l6)qz~bj~YgJ#!B`6qm*Aw89@JBn*K{qK##a0D~=FI2PM@cN#Y~>h~6o
zuP}m89dp>Ov*yt|4Wx0GwIW7UKOk<UB-m{+c~Y}(Cmaz^<MJ*J9-ofIfs;?CVrC6o
z21Ye)BtPDTgJ!w2#h7KWncboE_V2LR?EEJuXD1uEU*1Z}MgKtRz)53rOYJCxwPG4{
z`r{y>bngXSNEmM2EM#QZk)p-^aDex!$%&tr*F=o0cGJIXOq;QMf`4*3S`E7#hvXLR
zZ4rigFeMq?z8FVRV!7kFiJAZ1g4muv9c+qTSkr$2ny{a3m~wp*ALiY^_Fj+}I-Q??
zLRERZ*L4@}yBe+l2YaHpmkKoOsgF;(K$Eu*Pr$R&a0T@-kiA#W0B}{`%QLUJ`DI5@
zb&3S$EM=|&ErqQ3`O9Bl7C1w>V~QjnpOcz=&tc^Dv~jrZyoeHl>jNVz#%vB(%x$>y
z^q3dr>Fm5C+N_eEe7MWHnaQ0#P_t=0HyQC7ff}`MbU(^VKKz;Z-%vvZS56y0nqyN*
zVuJdzgx{4s(WQ%aeO(iD1$c$L4f~-MB!QUV@3jec;0|Do72rY%M1m^dz`*bJjU;e9
zJW%B~8ymP6X|%vbL-mWDK6v2{<NGMCfw#9*rx@I?%{n?yHANwdHnzUNlJxz(01eUB
zwY`n$S(+8#^S+v2t=95Uy^45^9E(?^XZ|SO=gIQ^+pS!r{j6f0eZS{x6(6<d8zn(4
z!uUmtp>Z#@3k|Dug$HF%I;M;0qBK8&mgoDwJ-%?Ge_6geTW!^o)=nL0zORF@v9STW
zR2$}Y4=nB(YX3r&4Oi{<=yd8Q_DjsUYN?%~wr61Amfw?Op)92F{q*aNVOwS#px=ot
zrLhD$eeiEuDJNpjVIwooAYx3b_&G?7yC#)g;d}ObJskWLiBt+oAZm*{`OQRxe_jTH
zp4qWI5OzjVWS5oVzCDy?%?vTTas@#yUk3+s`8sW`2#vaA=BR<{Ri<{CiLmZG@q?09
zs76A|YyC>SYW;?6mWYDC{1dPWW_zt(SXyNLytt5pl-LnKTAYXb{lfeIF2x!{o2tOq
z_dzPy{Ikms_cqi^^FK*KP-Z~^@huHVftZu$$yt+ATaBcU5THFtNMiGq5~&?*-;ag(
zpNP>bWZ~!9!SUm63LbsB;rnMOL>>q=Y<`cD!|VO7^7p&F+t3HmS_gGOj{e~^kajm)
zL;rJkBT?asWcM~P2`G3=eBDsnO6%|MFz&pU??KhG<FXc7Byu+c_ds~pVjulaAn*l=
z!4nZ#r87;Y<+}Cpzuj9Ljnb66Bp=eYr<EhfaS4RU@7!jOfHDKd#Guo}fK0xE1a5dE
zViBWR!+-yNhgb#!j$G%0jNbV_c@cQA4fHtIF1kSF`i>NXXZUtso-!qzfINakZO}m0
z33DM0#1I$^rnb{pP%1_V4epZOtkTR<BiGO2lA8F;qR!tx&jU3YsBP+hHVWj;DJjT4
zx1rQ}A^w{~r?aBNWqfH1k9}1fdQ?B-+(dtqyb~H4W^)?FFaGG^_v~bkc$3z(mG=D=
z?1!M{Y0V3?36I!P;B=My<AgR2GgdNkJ+f|EvZ(}rYOKJB0K9-gnagyFfj&;5!k1SL
z8<pbs<Em3?l9w!qo(nbl$1fto8M_y@9{GeH8?tTGK?m8BSG>`5=0Xf8^M#qh>JeKg
z^ZY5f@#TeEouzP6m@Z57m~k6@ygW*u%!Q|j*@eaeTLW`|J&8Gqj@-;$(+@;E7k%yE
z)BII)Fx~KDr#!i}Cf`C*rI};Iqr^XOYo}ucN4?Kq82?7r^z`&>&G@p^SH{4mz5I6%
zl_0JlQoSMO-P9(?%BsFvjZR`hM&ox=@P&9<3DbdVcYW1zt*xz1Qj_>mzEh1~j<k@!
zEJEn1AVK$sz~9?cmS0bTLdaYKeTWd{Hi?Igr9CaxkJ;A(rS1Zi^VUSf>#>mFL~{Pf
zHqBzl4~W=}2w9=UZ2sm443MXGcKFOCDF;CdhwZ!)%nqAqn8k;tZDMMhhas)ISi#!e
z)QK0aZtR4u1O5L#;%xtBU-4R85F>pV9C9=e*FgLv#ARm#kMQJrEt$|Pj4O<~B4yQ`
z*8DA<|Fk8D=8NxTNwj0dDrnJVr;G0`ZyWy7aMMx^T9`L?fi+?Nek|J)1mI(%@In8!
z`0#w#X}2>-sNJhF$VZ-?)KP+reBjqKxsNCJK|G;|Q+*86*B8MO@pQvpPpGccCk0Yw
ze!EYgTWeRBzEAw|7b<!j1C^v4V@NyqptTO7<$$ybGynF^@XO|O7gK=Cg3t=g{9b_6
zex8{QTi33eY>G#4U|=BKn}>H30LwXbRlnn<^E3BNP|<R2xKgV+3EZIe$z`2FubUKI
zTuPW*zO=zEBvR#Pt@x)3Duw7@?()Y8C+(Ocl@&J}99d=@`S7JWLcX^qt=>MHp1N1H
zpwjjC;?CHI7vF-8M=0LXjN+u;;f98d*sh2TfpLc>at-ktu=Li}KTRG#{}=5At@xl+
zP%fnMn~jxF*)HqYr|AY*eZj}?@_%Pf?JyW@0r{|(9%sv%EX#?X5xVrc@5H<8zQLQg
zhS{Gj2ANg_{PKa|?oXAO_XVRF1m@OPpi8H!=DLh5_dpwO>-Ijzhx{=;-m5G-bZI8_
z3!VkpS@cJoY9xyKq~}lM%PTki>kM__Tw2Tff6jM1hkJPidYhbp6wmC7h#E9e9M$=&
z*x5*5WGRyrr|YZQ@JSHJWwN+(&pMsZWKUiW_qFe^GMao9_Y1)c_@{$4-0XW1AdL~A
z48n9q#W;T>QT)*wPynQcl~0pHNgzx_Ge4t9iaM!-F4uO`)5>m!gRcWHDhs={L3Iyj
zZ0!D+JSSww1R3QixX}~8>|xZI%3G5@^=35xL~c$6ov5Q=dSPsQUzO|ZrQ9x4MwX9#
zb=ac4FMVAEc@ZZHfn`%bK@^Z@<>1Ac?`_ylKh(137xri+*Tv5OfqTCysKJzz0_f^7
z{C5v2;KaTaBus;$=RQpfrzE4orpCq+J_6t(lR+f$Pd2N6g3IGTZt6i$_q-hJoWcFR
zT8sn2-Cy=_#%S0qZXWqt|H=R%!GBkmq<>d?j#(xv@R!VQP~S-ox<5+p#mXA-sLK-d
zxCY+6V|zs^$&>q=rO|%&OW73AD$g{~MuLSrl%(~fc42V(R-4m-p`q0ca@}oR^rK#K
zd<ctPQaBRP3^6A$@y}Bte^O3OqQI40s*cjiDetN?a1rm=H88$y$xGC;+cCYU#$6s2
z36tZ=e*%Od*Lil&P`aH9jJIE^Btc|<#!uP`gC!wBuh403$op1FO6FG`knZ;fSoAFV
z)o+~sP$hw9e5myQWF@b?a{h2l%3~31jS|go|B6bav|AOv3W^ZWz#s+FHpR~Eo%79f
z)$?7pYv)+(uFIFW3nxaLLlq}$WpsOu{FAxY8y6X&nq#_HPl-IH5OM3tE&gRisPgHH
z$&ibuvYcPdDt&u6)!7QgqLDq=a2T8hB2S=;CyU@#fF>fXBTxBhbK{n2Afq@>zAN}2
zi_zVFS!%~l`aXOMxT95gzt_F*5pfO{1NZ{)P0di#MY^qip&SzqTEGhhV;W>{=|`-U
z5omg%7MZu<M0xx8^eyjipmVp(8s^*%(SNr(kKLsIo*VmrBN=#Zp#Q`>K!|QY=O~zf
z5GAV2-znOR_BU*-^6h5R3GH%yv-3JtvsP16vr~-MlsgslnA;mof*I4r=OZ@ri&%{3
zTT;$oMQ?84vwylWzOoZ3`74g{4ZO}c+xxg<^RY-5G%&$VcUZW+UcN;K)7~aC8?RYB
z6(<<9=aQg*^~Te*_CopB)Bq`5D(Fm@s0VzFek`m8x*Ud&1{h7<OiyZme$B0Li+Jrc
z_X23`3url`an?)_nR-9*nOjjXMPLL^JzJx-3<wCw>~24CC5FtS1p-7O`R?g7wZ^F_
z-J#c%(%hGS8U{c?MH?4gD}p+XmzuOABPSMp6&5ZO*d_&;e!Qdwj{M7T61eV-qC!`)
zTepj+*RrBlt8PJ7TeaUlC@*nN5>9PZ+}wt{@GJjFAwjJ7HzvVn*!)+0wt*xEoSR5E
zG}aA;1S_N8h{XNF=>U90g;+de$lQ@4M?#5RmLC>2L{(t1S}dO5v{e|C26*34m^uPE
zqhj$v3)dmD+q|Xo^;PK$#bC_^mC)Ba8jD4&H&G<)Pbn9>L?vgQ^$nkM|6KX|X}|j4
zj9|dd<5K@BrVjEUu(9)D;F_ij)(5-zGXQIGqRPsb`I9D=0IJ}>>w4X0o>jt;XAh-~
zG&iE^jk0}j$Q!)pc6k_LRNX{c_(EGo1OCL`aQ7<x6MEtaOeIO4^UfRVQ9*$L3C;0E
zI~*JREVcJP>;ZHJM7QY!GL}t&0RiWS*QZ{;*u$Op;}qCi2(5&E7d6Wmk->8u(81y$
zS#<k^dMEh!nb_W#(BV>AwO(27DlwJWkEcF}Nka`Tt5_#T$H2z36jh4S4An5w!2Rv#
z3Y2Sspfc;-rQBbU^dQ+xfUuOW6s^xaHcHFbUvJ-kf5)SUvgEoAVahl-FJJlvhf=+w
zX27B}G5Ph74H~A{*K)m9J%|^sB6Ez<6?F}ns??z5uI`Q_-gunQmxf}K%MvuQ%h+zQ
z*!>{G)2;fT$6c91A$!3`KrRBiJ5&HNJD)piYG{~|n=2i_)1c0BanBMDdIJ;$NJ(eX
zeZDx13^GHc`teFoj!M&s$CE3JjE<7^{;48=ZkHv4p%ozN8L{=e-Wht6up)FriHm8E
z$?C1Y3&*RS^YiyY7p=-b=B|fWZ_Qg<TLn+?BK-CLot)%WN0!g0$x<S$8;tI!OXg~1
zl}3;Z)Pw!Wj89!jn>EqXbb(QTjS?P;U-5vU*U+IR5+)WuW-DA%OLV)bO~_+tCynQY
zy;?eFm-Pq@<DW3Xu@P1EIc~dE4Yxhk2<l^6L#9zJSZ@-mpI-PGs0MCsrpDV^vXNxb
zi-Ht#63~c$RGKqRdfP0clEi9cY<w2o0HT!qfIx5ECyq0g1I_8K6QNyKA^AW!q!GzW
zWoF?xL<24XP;f-PM`PJLy^-7#mF#w5(jLiWs2g;6c^3{6oAN#uYG;+&`Pj4{Jtc{y
z0qG7Yx>r%vmz!7T*G_Vx_}Muol3Xb(F|UL>lt1V&+`t|>-Pv(Y`(-`nU9S6uB8vnR
zAq_U}9D~RI;VraK8Ki0Yw@MhcMwiy;Q`PFrnMb(!%;lpuOwLRj=j*;R>m=Dq+!u{C
z?#nRcX595daF!Q@EGj<vLS9bo>eELFm)G_@Jy_K#gY>{SQCV2>Hxl!zbbw6JEvxjC
zpaz*KG?AS?6u~7ueCKyN=Zalc&@&1pmfK77x#(v7teQ>xtTX^MeX?kn2~=smcm+Zt
z@D?1Ex;&1qE^f1buvp9iHeRtIO_?>9c(M34OwDHN%oELHJ&={auSogt#cenLf8X0p
z!(IxkHrbElxA+!}M}@0F3g>9;VNcH^xN^B^PV3}!djNe47X*ToUP{YOGg1OTAV>f(
zr+J9(9L^MuiBNJMkGq}kTm9n4@7)R^m*xm$D8#aAb6WbK?`78uW1cuRNP9)70Ro68
zLr&5M(Yui&89Fz}W5e9&@l0IH@4RbXJ*Mu%l-)y(gRS;SUR9c#tLxjVBdST2HmhdI
zrX++rTgFEmFVUBS)`#P|*Yq8`E-o$$*IS85CNRjpc`-<~e@`Ha$n;w7Nc@Mgr7}XC
zF0OtlWcW~REQO2AgydGVZm#YKC5;Hf-Lut5E3NFT=^Aqk`$t)@Qk)fo1Fq&O)@k0b
z%Bu}idvyd_5@~9`8-MBTX6WnBIyHizlBBl+B2lzdC9w`SC)GzWZrKf=+^a*oaFn-`
zjy;_OeK48Et{b`J4WWtyU6Dl6z3>OLeuddPfuhzU(RBCqAC&AhjSXjs)q~hF(1)=a
z6uf)fBq}eZXO{)UN55KDv&?5dAut)Sf%ed7vfhaTnSHb{fv@*1m?DHFnpSakXK0^E
z;{ir16pAgoak=SHyHfbttBQ61)39Kq{_eJ#x;nZGd)^DPy}cc<u*3ZVd7D7?9)YFr
zn$J8a%u%g}0GtX?V~~FUZ}K6J4lh-@3t!M>$fVg;krI>$&!(?^RD4XB;r7dgg*i=2
zTRxGf$V)kT4I21UgIi_hCjK@cR~ZzDw%&*A$!am+CBJK9NZE+A8z~O|a7W0cn~WWw
zZD4oG=yL;63!!j3a&L;R(+o72e{`#&@CECFtS7~3bO1emAqjTZ$C5krPO%k(qi7i!
zUJ3%><lvWKUb|Ral;yX3dB^gzaU1FQ99zV<Uv_V1<e>uex6Q_5?6Rykr0MounNoBi
zPxYXn@+UF>^*dee+~iB`m>ucw=VL;tpJ~Q~Z{Zs|q(}DMe<0^7uMShCpxBegzio`a
zDRTFg)FgFi!9$%lgH#EV9GP(@VBBV^8?<|VoY0PWY1vG@uWNgAzfYyydOzXx#}5`u
z$L(WwxhyNA#+yU|ce|fvQ0Tx2QiMLxQ0Iot=}g$+K@3?Y8DlHeo%{=(GbPxSp(B|U
z-ab-A<-%0iCy_|0PPZ=BAm4M>)r5u_j5x*!2(3Z?ae#yQ(dM>T$_{H`EdLXpJ5)~Z
zoTzvPLq8-CvKfC=7OK?jV4!lu2uEXoy9MXeNBs8l_kDxSH2%%Y^brJ?d*|V7fEkzi
z*wBo?6-}AsJ!%;qtURyAoT1}RmF?Boy4>8{0Ef0G5#cme*3Y5LI@Bkfb9fNoXp;Dc
zqTErt|Cb|m54Hkfe9dzcPL5N`FtV~QIOd#9oFlK7#cF4>@{T6ivHslar>*g}KgwJi
zW{HjW#_$+GrG%a@t8tYhZaoT!v8hS3U}lt|IZj}SfH=GveMftPS(k(ZQm}c}LL*{t
z;VZ&*IR<ceJk5Yie^v>NBH<hub3Hm#C%3dH8piO$?+Mkz{8FyoX;>^Z2h`i!yNFZb
zI}L-&`yIEBnd5|>V&uA|+Z$C3o-?yH2{G5zz-m4!%s_Ngj^vrmtK~mkYYEBGME=8;
z6C{dwPsm=nQ)qx>VuKM%f*Vm|G$N?++3j2EW2&g6QaigW1Q)HP+via&_6`WHbu_&+
z1EZ81UH}%8VY^YTafMc#doLGr<cqh8qq-CoKYNA~5=78jU*#V;%Vc(ryidr}LV(nZ
zgKE^=wI!yW*Axh$WYE04X=w_uUWhVc^;oab2o9AX#MPRH30FP0F4)}tDg=tJ@`%t^
z!M^%vpg(8AeSi6EyK>OGE$H}F^ZWO{fq`nlnu^6E`=lDlEShYE6$?i<(p!4ux!5A=
z8LD+BWKP#+`Z@8@6qdGw6kf^o83D<@hhlb`>5isYq1aHdrNpzJBTs%xo#@=0YRIL4
z%e8+4jqDK>sXl9C!oW5_6vlK;MH{JIIROUqJ20AsZSPK_xqVCekHbD}DM;-wtd+~%
z<CsrBcxDv;&2Se@|D-1xL$yS3ThJB}@{uvHu7+BGup}vz>z7C`4*I(94w&R?{fC6r
zr*@q8DM;XnWh|O@H%VeBAT|ULdmXU>cTshZ(_{yqtMlgl2%TGI=Wh$M|12_XF)Bbp
zVPbl!Q*IQWhfK!qe0)iKo@SNH*X@8?G$-tE5Q0(=>`l=v_`tp1#fp8K*S{t|6{pQ2
zEn8zcnP`AB=I+Bl-;Ixv0yX-TKr8VMmdD!v6gC~``p&O;?L>pF%IM>z+*Sga@0~A4
zaqk`!{GS#8?rjCWVo>fA&OfQSFyIPPHFV+NG#tLMjS5YxVf?Jj^|`8>1pZgtn9Mo?
z(|s_z3p^1ZLM5w|Z=p5tBt*I}MIt^KH3-)0Z&oZXEc71XT&Q@qZ=d+wfE3)6`0mL!
zP~(kI#M%_85RO4``OpMke;O(G$ActtqgIBBgA1!rcK#M`ZCD^o5jjoP${@H}mGT}1
zOusc6g7xZ|L(TY>SgD<L!&zoPx2xD!`gM!zZhGHO7KxYw4^6-afm*EA)-3tu`6pG>
z@{0=L&hP3(l8~ttt<GdVG<}7*P~q^qJAbkwi(e1(O5A_5Bi0|d-oV2J0A=^sS9Cve
z@Z|P%B-FuE{?c~n(>ZP4@An{HAcHExoD+3%+?AJ7fCHz2Y4hw3B`6ky$)6C9Gx(8j
zUKs_>2(Bclb{K=|X-7y_^}ogX@aO*A)q>$)95(y8(;Pr(_$UZwB0O%w-+)XCb@fZ4
z{zN^x;j3Ova^>V?<I2+FF-!Ws!W25TjcpE8t94W3vUv(?H#ah(i&G2pv9Yu`f(ti=
zj;i%Z`mpgOC1+2ehLYLUA5g^SH=)3dVtr}cmh&etfKR)h*niLK)#MsIiYcxHQv^ni
z)&`UqnHn=u)(cX_-K+I#zzvDT_rT~A`WEKr=^1eA^78_Umuk#%xyQ2<Vl}@m>34pQ
z>J{8CStKC0eKLYJr%;Nf*wB4+V2CY?syeyE$@8)b07?1uciXCC?kfG<@jqE_RuYwI
zm5`Q>BN=@~L!7umzzni7o$eUJB)qd<X*hI9Z9O#D)$Kd-rbRl{^TS9}X=k%06TDwy
za{GUAN;C)er>=0*G~hLhUL9Uz3Q{(3<<(hrUciuKC0aDg?k&1oA5wkhl-itIa3OCm
zu2298x>KFP67lRN5In*KAnk^)6=@)Hljd&bXbE*-0)#CkYfrzmCF|!nQ8J=kV5qkr
z5T+l+93k1Q`P2Ebf8Q<&cgiPm95Ref(N#i}v#JaQPn0v6(*UTyFm%}akw*4IfH~~%
z*Ez%Mh^|&n1)$|f%5`>SE`!dQL(>$gw%59k%ogTHJeeYR`S>oqH}~MrmZFrqJ~1*=
zLLjkq2HP|L0I}2R|1Akq*gY_yKuu!pA8ioY-LJAg6Z+;AbQ=Ci^1780kD7LQonsdY
zp;=yEx7%0RUtGA`Tbz=SLGmo4WWJt6PEk(uuRur#(RV{H+m2*ZRGopRBBJPK7e$&(
zOB$thNUu_wNx$y8NUoWkW9>2Qc0F0!*xQ=#_ER>h%7tfEJyqXcnmM1o<kIGFGlGU=
zMt3g;W}jMt*uANTAyw2W^z1uKx?n)xBUZ?od(|(99SS4L|GsdNpztH#zdKx+*~;B@
zWl|EQlinswDwT-)>fL53L<@1+u^>bDN|!ccoB<vA`%1CG=vS9n-e;N5$ntjwBdh0u
zJ)7=%pOcB-$X|wsSu+<gQ{k(9aD~FP98y7){jpIAgo>NXN@QVhj1U_ar4`1bg+Pcu
zc(A(g+h^-uB6lLU7L(YXp?R*Y1jtXBsx=!{yitGmz@>BkClRs~1|QdoC~D!+t0?aE
zY&jqI!IOdJlu1-PP}SEqySn@|bUmY}_(jaJF6q;i9OnycoL@7Gj}}qS)7^JO%bW(k
zDPBe=aa)mbz+KBTLD7o#0v<|U|4K=A6X?f)Hw^F{Tiz4EUqE!zoTgi-7)U0T#D*>|
z+DU%QW6C1&wK<nL<>ZZU+kG1oOV^io6VS}kb5DnLXif@eBbcC4!yfcDV)U&w*{4gi
zkxOD4pm0W%=78?Np!x1MO-Wur5pb+EtNu4zJOL8WKhb`6{2ZzbLXJ?(T8kMi^ig4K
zn#|uyrWugcs{nm|b>lCC{ZV#13nLi=DKKo}8<60OA&74m7^kK?d=*#q_%5?9Ck054
zANIHaB>@0@X}P|Z=1Qe^NX&|V7=)(MAZvJ&-85;!Ye%=f`@V7J$9&Jy&)j=ux*x^r
zogPnlu@yEya4UT`f3>(S`m)Q-*m09ZuP~caOSXjKPgNwf$?fwl$&hxSFuvzkF%P0n
zl?y$S-$tAy^dic)_+Y)k>7r|%vx@W%b;|fj3gJ|U_eMgc1f^5UQfX2**}#Aiw{Sh?
z4gyiu64E=-=za@k9a)@-!5HMhs5^)H*ogLc1{W5S=@j^P@lZF=d&R;awr8INle9`G
zm?C<Y>yTfL#`-ydg<adxutdm7w5(z#?$^mVgb5W}^sC=~iV^Z^qF)IY#?W|V3-dt<
zZnX^h1-O#9r8PF*m>?aI9aCwsvljjJ$?91)B10LWO;M`S-QQr!u0~QA#U^M)#*70M
zzQv3~fVDQNr3K^sHO&wyrKiFw0H*;IlHU7}U*1070RwGBsi^&~r3F0Hp55D6Z&PHU
zaL|t`WL7%`su%x)YjfVsb8$tsusylwDc`nl(&^1d+`8Fiw>Q83;I?$5ze}H64)B-&
zY^iEH_o0u6pEr!=>+o>r&tn%FOZ73RK23O_c|IPqd^8+-xfRz5#AG=+Q~Cc?lPm3@
zzXv?wFL(!C+k7D<hB%;oD8>1Q#VyRmB{p*jpl9yhwTR^#sF<(^?~98tU2=cP+_uIo
z@d?#P=bTCv`_k6^w$sc^ur=3PZ!tm7F0cNo;MzbZ1@cw{aJ2bLTQGGo(e0O`{Jpr{
z0ut3yjY^f5FuVT2GNlqbH3{r^=7LM|eHFz(i3;Z=C?1*BVz#1o{7LvE4Z)oVVsfzr
zK4FO=$skxGT7}l_UJmoZ>L8{4vH&EwCXKieDW^V8lZ0~IBW9+E1b{9?QR=78p<+PI
z{`SwhM~UuRt?{>XmWjTy{7h84N7>R{@mee%7!VlxMy}s*sC3f|%uWFz^zYxl!8{Wn
zSkYV|sIW#@0u?4Fg^Q8Lr3u-6T3$Xh{hh(oR)xM?vY=1^_uoa6D6RIwSp8C<IyscB
z*zKfu?oXSGcYUbmfZPt}j<XWQV;f4-Ev#N!n;>DI7HkNjKio?+=WUf=@EOu+1G)NB
zNfo3#bfZ~&V1FB#<R4g23S&M1FPf~1!h=|WBrp-d<Y<@?+Kq)bAT~wtJ>4ED&t%r0
z^PE_ao^i-~r}c@XUKTBElPQLTK9J=ywJFehH+X9I#E@*@s}Tk^a_Qo|;781f+V-Av
z%K>n1-8?aN3agmaQ%c<|-#(=gSCV@Xz@s&jdPsrw2K;v7%8FTWWj>fZ9codWNcZvP
zBUj<7eS$vAs$4*p<3JsC{FhF-d{n7v!k5KPA^*QMW?l^tuUVy{E?u)2K9sDr^Anny
zYBfB$r*p?^*O!%J;psBydHY7dgMf-(VJDw~ZMAzYL^dx+t64IrY_mW-bT{lf2D6$|
zi<y@a@2N%sst{nN`SYsztoY2&jujsv#HF$z`nY{jK|hu1Y91@y3E!?ws1$0#PVFVT
zmlO#ncpycm1AewW#dT_woCS0@Lxm|Cz1_wMj`L#&>&<8VVe$E16pw7m?P(M%CqP-B
zn^Hex6*DxfxaaA*b%RHX#q_vze8LI4uF{)Z`l(rz9!ndJ6bcV+;md~!NPa(HN59dU
z+>X)C=4yM%MaZg|f{YQ+ubtvT&CSh4yjEJ+vNnZm5XX32O`ab*><_Id=e&{?Vu;`p
zi}$$9{jrSqI5lluojMY4X&sBExHrd1Jj<L$n*wufZ6hUH@XH9VZKv>Yc|~~c^Qo6&
zuYoAr*Oz|BC2o^X`+oXxOzX6P_X|*91N`U?X^6&}MT9#FjK^cCk3n;<owfDN;0QpS
zdlqN2a-rVq3XRHhqhRoNp#Z?Nh$t`-N)2O8p+iCCez^@jYpfDr_czaYFsx+0G5vcs
z3^RIU%aRI@tpoKQRWcj)H@9|t6FNOm$Ou_9R*r{~cuq0iiTAu8F$m3eZa&|hy>g8j
zWAxufaVg`&qril-Ee9PEUlVxLBOtH+nPwo6`s{}7WMl1)Gw?3tFVUW!luX#8JL~t3
zHbk)ZEORE7NU`Tqnz-hJ0)Th>de-3|#dmt=e|(WBdBnG`U)9QW-RU`?VUC`eNIIOZ
z$?$OBl-^}sRx<5pVxC6}cdIY(Q;<Lw1va7G>xZXjmABMiieYn+^cLKS*>DAv1_(X`
z8FfufVCGboB0Wdq%hK#z)Oz*E9S|eA^eQK=HV%M5_^*0v<{p<WELtbco~lqHFQ_t_
zWcGcV==Z}79hAi&_jGB^h+52{JlPGKE<4EU)U1XO4HIqKHyg1GvE)7!)C2G4%b&*L
zGat3Uy9DO8MVO!M`&46&@-R#YI9>m;bcpX(z1BmtX#0g6hV$DH*})lp_vae>Pccn<
z-aODS0G<&t8+}A+MWW2ZM0SrWbVMM!bEuKy=rCPGT;DRl5CFW^TcaFU9??w^blExO
zb!V`1LOAA)ltOo*8qhMpuqwl<1&vO7M#1OoOri)D)Dp{8q5inICrY84^V{q@qkM0D
zXFec4SaPMo{bh3QN#BPq#((7nk3xZwk{p7Y$RVZ^ZfP*~uHniRnPbul%H&*ta!>Q5
z8}^l=!wK}XqfPF2K8tTPuBIY*v5wo9&3e@2WrY$EBPfr@?@F<NyVf~=HRCgCYU*6S
z0fC3Y=(qmt2F)gtZ8d+k?S8M7rlP7~jI|QCJTBx(sNd;tZ%~~gSG((TVmUCXMra9U
zE(m8#5jM9xDJRMweRoYt<(tvbeH`68Lj`>|rG;t!WR>Pp?nOnV9A1XIHTQ)x-Mt+M
z&PXi?v<nm`wHbjIFdNV-xi+64r~|7jB(&C`nK1IJ$)<1&WW3D<Bs>o1t4DqQM<gHq
zZ@tb2ebX~0?^4K^fB)HE=J0814`;nAlO0RVt!DURA8%tx@;ahoqQWlApvI(*cK|fW
zj03_9to45rZ)awV#)Luj3{d+-E|Axqf9K?l^Zijg!7mEy1uDALq0^j05T}ZlFLMyk
z@48?UYjsZO{fX80oo|EXjP(rHbNK&5({%?z9ryn;vgImqBBSh0_NIs<a#?rw%HEk-
z*>Uzx2qAkO*(+ze5VBWX_TKCF?fE^==O6di{oy|2{eHb)qu{OWC!KGf^=zMl(xIT<
z(caQ(98i#@nUVL)QjwK*!4Sv$-lY@V@H$foe7n7Q1}Crrpt{bxe6QKA$4uNEsO470
zsO5dx@q4=`apmmbJrBp1X&C5>{<m39`*Qjp@;*Q?^#ah9L_Vx((JIGK31`~R?dr$q
z*rg8MXSz@+pE)@>nNH1s!*8Z~v_J9<-JjR#NllRil6kjJ3SeI-Efn`N7!0$rvSg&B
zC>6ZSS@HQqhirQ|g`-P#0#>f!Gj&e0-<KM9Hd-EMby7SaP(PUW)dhhH0B03<TpTMo
zq2%OGm~|Ln!2b<UAeW2}u0J-vdQ;1#@NL}IJBvDeeG8`YOxe8n=WbYhHfP|vDuB5P
zlK!G~E3}uij00?$ipewGw3U?K^zvGR0zobsTkcPp<1HUn7T|qh#u@Gq>>F&p15)V)
zwX^?C17TsV-EW$G0<aVeRyl#PdJxsPglfcOEX4zm|04<Z5TdTi5%jae{6hU5XGmjW
znp@m5kn0;c?o8R^;tSaHC+y&HSiXIhP9t~4nez@998RO`lA%DPm_=0((8L!3iI4vG
z2&4bMVoLx2is|ZkoOc47N<!FjgHJ%1vW1Yc?(J12AW$_t0$^06z{06y=G}j}O=$%m
z!3R>Y0%!$qoffOF@lXSfe4s}L24O5w>!+6#GVlK!F9#pr>{<IBuqy;VPp+<gJ%-aR
z#0`ogRxbZspk11A!$=S~cH<VJiM7q2;A|jdQ`B4gxbJ9SOO0?_ZCCvlV&O^-qU!;S
z)A=E#b5r!5=O=kGR`<;X-OBVzZBrd53RC)3eh3Fw%H8$6g9Z^n9j0Z)wCEUQk1r(U
zx1xT=vi2;EjP=djnih<5rp$zn$ct??CL@ULOn|_Z?fV*^HFw#5l>dtQs>codn6g)e
z$zn12Nrg99eSLjT+4szlALh%^Q%r6H<awh)!VfftCV?bbDZl|5l!fgerC&)uNrA;D
zmPCNm$>tqi;sx4UEZX0v9RY@z5cGOc^=wn>Y_*#Ol}kLP$sfw^YFki{Xdl~NZByoO
z$C2|+u_$Mt+&9RW)`w4Ixz3#@6Lb5FtduO8oDHMowo|pRH=&$j(FcnVdqV!4L{p)^
zN{RO#C`>Ds3BR#^B?<k=+-lOEA&|1Y{`~>WiHgrS^(CSF2_;sFNV?<;rL}2$u<{Gj
zM~btju(4n6h6B7oN$vNA|6Zb|8A<O*ol?R2fx>9X*{hK+5bR24<>P~xJkIuC_rE9f
z3b=HD)rWuOBt83&o5hALOuVI*{r7<(lsys@c#aMABsgrC8?7-Hd}kO?MI!@@v1c;)
zNPZ!i<Lv51xo&k=SGimOcQ)_lXOHNky`OmJ%5lmCa?A&e8hcgri4*3^F@lI<;0}$<
zGGM}mSfxvuP9o4&g7zmt?w1-*)4i^a25lJ88kQ@M{4Xa)fz;@n*Od+#unWMNbG#x;
zJ%%#nZHu9Ry;f<$?<m6e^a@|rlWf0>>qbf!(L_AU56NX!)+Ij;lJ~^DPs9|K&vx%Y
zk(W=!ZIkTAG0pq;?hyiMmc9<>u)?u@DW~m$=--#|Ty(uCKGB==+iT`GD~0cx=9pFV
zzRsExlcXzk2$4LY40ibT&Kc-QQQBkfeyelmd^gQ_)IS3A6yk9Ml^+5k1#Z}<4;jxU
zEFiaga_l-I0Lv9CHE%==z%9KLXQ###FS{zIs#LY-_#+la-Ni?&QKlxyS9n~3%pD$m
zGP8GEn<QHsVKx|Qiu!9Y3&>M7IgX!XgQ5J9%244f{MAq6bB7ESF&A@*PUaN3*A4-z
zc;W%5^7YDt;bt44;DQw=goK)YOL}zT2S`btP$TU6>qzwSBv>M=YG3Cb>j>P{rVK1!
z5?jvUO9~NtOVm+xB|^r{qRip9AWL1!7y@`!M68@`zPzlGGr%RVv<ZyA*ehEc%~x$p
z@$=)I`v>UXjP%|%0p$I}!`L8zhgtIyW)Me40h(G-FyNNa=)3DB(8>AyBethGMCesw
z$m3lyJ$9D&9=vx1laT{UIabq;cyO~ppdSxnglE&r??(?d8z#c0SA(>Ltek`{E>}A8
z_CB+Ho|^#4=Z%Ps_XT&zLDSC|VWHq+5vcl`=-9cPx`0X<W=dWCJ3;$@#LCs-LnRNX
zlyjMe6h>IhT@d9n!G60!nOq;!WMh)F)VsK~hzh<vGX@AUz+_j7KHDgSw47hIp>t*5
zOAw&$<R*=}1G*^R+v6D7I4fCY9SVvt+wI|r_Y8L19<)qaoXLO;kcT#R@tmhuVu?es
zjHAW~^)j4IBjmxiy2p1+k}H?lX<Z5>C^?nu0Y9ZwPn9dmWxW?Uzux)%(onj_X9^Ku
zN;-;7h`ni$7B&VBAb`BfY!RxkKh36SbZK$my}jLPnM|b9O<D6UcipC!Kq)9B;LDG9
z^Nx%^a~Pwr6M1`Bd;3==x@_vxF=E%_VHB<wBT+hTdi;}GyHl=HCOJywTs`iQIZ4G^
z>5eCziXlyfOHJ6%yO-UIi}SudnjnS2CoRHGeif+3IRrNp{l_{Di6J#2br3@E{syrZ
zQP8912j-`pXv}qVbe6?fUqIpNJw>nqT1Yf+_0)^DLr*SIqfNdU{AzAmLyLX7hcqPm
z1m?dSYx=%V5U>YP*Wj5dKhCheGr)WC&#(T5bR`fdS{MBHL%5{MzTK<|cH=%#4Y)cM
zVETiOrj<oswv^lDQ!;&BcXzS|*4d#ozAs?#(4}!lp?BMO?rQJ$>|lIXkZj?r?=5H`
zl7XorD+x{65&MmVGarQ1*?WI{gNxVqZT7sdV~hDAB-srI)EyFKaEHsk((JfiqI}as
z;xW<%Fj-BNc`LKlFadoNCB~!h`07Nq_2vNLrmaoUDpnv8f@eWl?I*;*$4gPYuX#6+
zWzw?$aqMG1@q}vHW5W=6T7!p;!{=LqcO}YK&3S}DMr&PmWzjf%)uQFcbQnNOY>Wut
z(-tit+R!acFu_HqjaY{Ww4Qb(I<;0zeV;PlDY3$!aQmXc3LME;Z@M0Zh?Z-rn&o#m
z-jOLaJ6TRBiKVr-dOwu>%{N$W6Ope1q`#7Rx4z=X!H0BhpPm5uH8V4ps-0*eCW!g4
za1BTNf)6QEizip@W7h)<%{7=xG{2aPe%mrmP#$5CK;t;dv2{{(8ba>>BTdm~GhX1e
z#c1`H;p0^sbs`dlPlcn5NDvs8<&}1XzpUQy3m`nXg{#a<bCAtm;K4vSe*e#DpZ11Y
zho*(yRLk?DKE+0U%MZ0-PhQ&TXC>K+ERDg-gtd|xLqc*;ZCJ-rZ;<otJWc*ng}w|=
zz~g;tdK!REs7M`te*M8`tZU9#E}$6Z)(S9f+M8U~8$~nKyG7qzCXE7i?bX!>q7TmN
zKAV{!g<s*21M9Y2D8PdD(W6KHoZJH+J)&04?=Cz@^T?RL86Qe*={Nqkds+X_+uS&t
zvPyoz?oS==yUXiq*~SM*fzIEq92%>q3+_?{`SStq?aq#Wuk&ZA<dLHU-1?#=b)_*g
z3k$~mS?9j${;!f?r~Zf54cpts^FYF~l@(So)J-OvBK*1SbDwJdM_{G0<GO}lH8nx7
zV$^*Eo)WBAaEUNGrg2mLXWiW$qf+Bt<?{X{)pAhq1GsiB3KtE*HE%)+)HRMZ9G2Me
zQIYyCv|XR-%AU8;x4HgkC)pde3nuiW@Ggk_NSTj|_dBfn3?g7%hN8AY1XTDq2|>&O
zW1`~X#?$?KK$(x4X!$U?^QjtyCs)~oY7%T!_Ob+B&$EKS)|T_vtK-z<^D!&HuLks|
z&^bNraX`E<^5~~6%6H-Rx$e)yW=2<THfogS!MQy7-)nsw#kHxt^S@t_J)N%cNu4h1
z6UP%KUDO8Bt)exCQhKMIb>ndNE-E+aCSFqkb)HC`>_1WVGD~GKs|~-ZD-%FOnvwPy
z-(yfotpG+yXZ**m1V<^&X|q@>gb~9=l%qb-)~sh;#*sg!GO><dPT_vXhD;lWOB#E!
z?a{ob!U+y@?Ad--8m-M2Q!-*1D&TJ4&wci1<-q{%uy@;nD4G&CU001)j(4vxR()ps
zgyH@kv<N^$a@l3t0yvr3qlpNVhV&~2m{owA_x66bzP5IXB|tI*41?vtSA-Qr)@6Kr
zeAvTt*GCMX6je4LBkC6O_U1pEX>*k546wuv%O<IFc&YgULL!>ERVs3E`ec4vu-;q~
zI<qY+*t&Dsx*|5%;h(zp?7TV*&?JY2z%E{fmjL^vtwuoRvn-9VuN6m54b5+vG2DM%
zPysVu-mDDfvzy02beFMm5&-eoqL#&WZev>o!eAG!GtWSSZ)=vE&-M~mmd5&)n@a^B
zo@7?qSsjkLen^$0=^{gpG><k@mi3lIO|ze$b=6F?A3o9lrQq_)0ftlmv_u`H$%;7s
z7V3~a+gu|HA)~`KsN9VDFWeR2bI$Zv?Rqb5ruceNm@)4w6IH^)(dlm_Z>>Jg6+j<V
z%ncVT7{Zw-^KCB1*<L0*zefwF1?9>g3f3FEJB~)NM@nJLk;gt$EgS4xH2A#$j|8kx
zKR;`OLSzBd!4y;1igyNM2!P*u?(4ss*G0`Ye>0WLNK{u}-?ory3QuvEkvH+w?VJ*`
zB&Zb$Y<ID78j60ox*wbdPZI}$l)C;jQyM%AJ9R{DKnGbZQ;2%<wRv;vcx<0F^=A3X
z>^e2-&RaLgm{Wby;F^5u-wT8)N7D6FJ7mC<z^*PXfHt>a%*L?D{sZEJ#_z*b<}%ZU
zPtM-)vAmqaBkv5dC`vqfs<~&^@7UmO^KL4QqAgHZ6WrF_Gn~v<13j_T+^g5}z3gvT
zl0u0U&aP@!CXKMCclkp7QT!<cAi0R$N6%YL#OSCL_xGv0zJEE$xbrAzsS6V>@+@f-
zU>nNTZc{MkOG!%`Dk=J&9CLu0ucxW<-vLgDu`=BOJRx8}cjIoj;3xIxk&PTaS=ZX!
zru(M?fUF-K_V4LBD;fLmW&;Cmkh?c;+)s^LYo%a4FydhT-}mzG`XB0w*4NhuARnF&
z567H^o?X?)Ixy&doai?RN(<+vXxqQJ0oqiCGMtmk>#?yh=S4$rr{k@T(qVj%NhIO>
zkqwlGQws}p^%58@`)g}k!fnfV1`eclFAKv3j0kf4ZrNe|fEb=H;809_Wn677s+t!B
zN>I^Gt>zW4;TcA)-WUC{8q~x?dXKrG0ADhu1wzF&Ijy^(FL~pOOY#9nw6fiK?dP22
z9O`;_XMCu`q_Va3W;r4xuB?pb*zI_gP=nhzs?*vA9Qs9LPUNn{P9h&K<s@3plV#6G
zsEN|Om_0wQOYE<Ndf;KYAfJlY8t4!NdU2;ux$TIm#Oyh-gty@BvFz^l))uJUS_ta&
z_48pc;mT_Gi4!?hRA|zH=<UHB(5$}`1=BCbdQlM(qZ^iJ0U!<%p5nLPVM=4CNdsb}
z^1aEx>x?@ibOD4EyH^KEql`rM8RbrO5OdXY#H4%Ez=5K06E{DO5l4RQrT_=XRH%i!
zFm-iee0ca+$Fp02z&>M&m+6P#w1oiXf#zG+%GKAnw30VwIyix_PbRkTB%m3uqI>5r
zA>+d@NU#Ocwv^6JYup34(Gc^vk%Ib|f-zq&1ph!aHz^n>fUt$*JFOIP=l*)BtQalB
zb>=nyMf`^6z5n9^Fa|@Ok9~ADY;G8@a>y`wGtPLY|CvcjJj{&$j4=N%LnC&xF=pj#
z?0pwJ%(%50+9lO>t!xQT!Jad0ygPfY%#khSeXxWjoc<DIUc{la*FpU}JiQ(W)C5o}
zS)1?xdf@-l*5dh^Luf@SpeDu2^l&M!=G3VjP@@lMyaWoV=Uv93O6{UTLPA#|CP<!V
z^NGv?=-JEq@cIDv2OxugUXNGt>eDeR1}#4B>7P7yyMkAvfG4(|8%V<5j6K2N$${~K
zv=qzwv7MJAk!*JP$#3r}Lfmx_xv!mW$I4dy>3Y017jE9bxv8K<u1s3QNP&>})kj8L
z_<(0-vV{mr+5(wkV3U{E%4VlRqdEH;`ZC-`%(*M;@<P_Jo0^61q3Pdg$xV4o!_CRt
z!m$RA?dj99UO;L(Gn1D@!nAX}!vO-5mhIG0?8atEBl+%9O(p5yO)sOGBd@5x$BgY<
zQZISBsbGSe7IaaNq{>5iGJ<x*{_POU_<&Ps@Pn?MvYoN-RdUdS_G*HRf_1=bYNX31
zx#USVLjE_?%Atj8yzR&MI(AEj>w%o@JjvZ%ZEg4CjdAKvZdH1~HO_V#mMfSBVr7KJ
zp_bA~bd?P!0Uw)7sJ(;3cA4iPW`|yYDoH$YMGg7^hrQdKV?Yi4X4u}I?2Kt_Isy@`
zUUQiDV}DEPp0;Ccv1mEIJU&`ZTNwnhP^a&f6xFxWm#<rd+2(ziBmv)VKEnNB_X(pX
zAsG0j{`m&t7fKL))>^>~h}vHeb(~cr1~)nYRu~ob^Xu0nF%%@bLzOeZQ;=K_YjPyD
zMN&0Cv%BF5A(=VbE87lL9Lsu!3E{5-#Za%a#RK$EvId0}qfyT2W84AS<7CmLgAGby
z!L^4SICt2x7i0l~Q$TT`tgP(q-eE9e*<0SIl=P3BgRRV^PXw4GXmMeNjZY<^n!7>i
z!A;q%nrk##xaIO}OFD!gSpM1l1t3>*Z!-V9WcuHSu^?C@a4Qaa8Q(5U-cuMTKa(w*
zaxYqn%GJ}?PlWLXFSjK&ALE%Ib#-(G9o%m73b!3YIB@w93Yi18yt8*%LatU>e&n+6
z`0a&Y2|z)NKkX14!nB3%eJ#BQk|GuOD0b^wu>lac#wI|t6Q3my7gRe+$Pnu>zf-a8
zIpNu~&)q}Wa=l60x?55DZ(ZdW0|E*CdPf!&K?qq07#M_6$V&29dAVp}qduj6O6ANr
zw19Oywx;mSno=N|tl_5Uq%SAM1O37scv*kzSiw%hk1tn0dC$_?gN845)X>4(0gvcw
zk|q3Zco(0n43xET7$*=+P#2DgO;`yhu22j>0mB2Zg15cQb$y<vKgtt$+p4N?K;Bt^
zt@PrRh1BDGRgT|=<jF!)FQP^*9$c@66FS`n`5L!3l{an0-)tp5pB!_PEADqOgjwPW
zF}pb;my#nx3&<|x?+~RuubqG!=r&Xv&KeRo23IO0X{9LY>kWlu2JBN&7sK;ICwu&_
z3Q*Lem6nPQ1EhMC;)pMR2}V1_9RA|hxvN>g6jp=hStj<7rUxGfWIlK(^|#ADf!K!1
zt*X`3o)BNO4$r9-)nG9AN&Q!!iwMoW)EhKpGS5BVfv{fEH2x`4K%tif%~SweX#9(x
z{u8!4KYOD->62nPwqDB()M;6nF%G1<oyx~^v`R#v)9~qC<Bv(MHpQpaKE^QBB%Qxw
zmu%Pmw+l@dk9+p#db+e)bFE&|^ga|pTfk2kCNTfmP7iYK?ft9aWEG9l_ixy$v~B`y
zSNHA!I#ET<=KUKK@XCD~{(6sqzuH%Uz44Hu9#DA%s6D%-IF#B~-&mbe($q?^^aN=S
z>Xs|%&Ob7sXYFoQFML?>H6A=)OE{BbnV1**5_8IUG}Tp9ZfaRWjl$z%2EH8t*8^(5
zMSyJqNtKSBOg2!;!_D9{AUVEcQ?^7O7r6W7hgEaqOCum%sqC7z?9wwEr+vF^=4lAG
z6*)Jx&dI(PB((~X{YRUXxI58ker`{syl$XcZA^<ubG30edsAHWMU9J(|7W&0!*o9p
zq)glcf{zkD-W;st)z9|;cdnu)9X-9w*_MS*yoS1}rriMRlmY(Z2{`$v>X2%l7<>Lk
z<Bh+fC|MV+s3U+!0pM$1aL!^Wr}+0;={+SYOG7B=bwA}tXM_7Mbbi<A)CUQs)`cSl
zGA>O;!W%)NAz!+=sZGs5KUeq)B`5Xgv^{s<lA2Z;LOEil>+U1$5-rXT8N^?1&a_%4
zUV0Yt;a>?d$kU?8yj~JXS45whiu8d6qZB7L?^Lu@1q;mo{@o5)XbZUA`m?-03BP{j
zA(v9T{(ZiU{@vx`#Us%1<+UdrcI;)>S9HS*Xz)ZoOMyeisiPxc88qphI`haJAa(%~
zT<TMGkQ|YAQvT?-$^FAfi}8BfGrp8Sq<|{5XPG-Z#f1**U5<K-gr}@t0<KE%6rLWH
z6jhOAxwVII!q+5p5)zn0hE~N}*Obk>3T-|#s@C5xy}qki{X-P2&$#~E1%%xK)h;mK
zpovyer9G#vAe67Hs@k`zA8H$ndM(;LbP$n+_0AH_#$XtRM4XNtQa{4-$08@C{)*N0
zT+lA92Y<Xk+aeJVfZIUrW*YuyV&)RqFaa=CXL!n~j6|s$`9OpWeh3pw7HNeAY^Wf8
zQv&g5rhWogK#Edb9nc;+=%)aF7YPL%Sa&Iow^mbAiJ{wYXu4qVI~~k0iJF?HFeJ9;
zR8}@+d^grk{9CDsKO848fuFW8W`%ouvliFrQJH%dwrgo`AolJW_3{37H|f5tG~at#
zdQk0Uhwry!d{7*$wVEXZ=tLVO=wneLurJ-;nen&V=I=^wU9n60eCL0}o%)BPkaBx&
z1FXOet+d;3%*xg+`_RSxg{(Qwe*5L2OIBfS|9O`N+NhU+_GZU!dnfWGQ87#)Qwz>r
zK>Z|2oN@1I3X9YR!l`wEA)6T50crnXLWX3TtWP!jU0u5B>1jAgF_>9D37jBG#ep3_
zX>oA2#Ey}(Bj*zrv?YH@*ue1fcxZ9LZU)emPId0}1wWux<?nw&^t5(*AJ`5i{9aW{
z&SD1KRN4Oi39H}NzHuuW+A%f23S^1y1tA#C<!ru^^V@<LF^89@yQ&<i{s*xBE-L|Q
zTlYmAP^t;iXxqE6kS3oD{2JHJ&OhPLtk^<5v(_V?3Tlv+wzl@TE7M{!)qUA8OMfOT
zU8_LnmCJw!5$Mr_rhm<1n?!Wr|6@@Y9Hv@;30YkYOUVc0GW}`XVIa@F-9Kv$xWrD%
z+{iLSET4w$p&{mje;H$ZZq~}OxQ9&s@pK=$ixjc;eB7=&X_WOz0F%BU^wial*~IsY
zlKAaD$6)hdF9>T0ng#`KHqMPtY&{WCvH>D&LI^;BTVv+z%{dB)PGOHsf&tufI6zT8
zIh$7z<VugK_C7v#;$wdfwQXAk6EyP^{5b-&Vyg|luVDIwesYw_RRRQHg0koYOwAl9
z1@~BdAg|D-UmVNA{4AzbdRAJRE9ma#$@2ll5b0gT+vf}WXJ=vq)rWcA7J59aEUc^>
zQ)T5fZY`@`M~fxmOuf~6(~iGvo7Q_RYF42i?z}KFFm7t0R~(ssd+;~v8J>@8JQt3M
zoU3_5E$_IQ!5tnunTj6j^O~2$XpA;H!=Z(aK|o13f2qAhkei$wkG1=6l>Uf4jLii`
zRXjtHs%SsyuJ2G|KpVMoHh{^(X`gWHZBR>$1m{uyP2K2&rB%lz;W9CkJr4or3k_69
z4R9!&Z81MXbMr<flgnacn*wfcMpXnbhfDBA<z7MUq3Y6H_P2+Tu+iO#>j-T+T97$1
zE(C_Er%AT-zFiW}<Ih@yt}Aw~XepCh<u%TjmEaM6Xz&csviL-5Kcn7;HT(QfQJWLs
zBYE<YcVL{Fdtw=Gog=y!6rtx^Q#ITJDZHnu^ZpJ%0Gxw^0}u5(?yJZV5U8@!|MX(5
z?Uc^{Kd5Eg|JT|=S60>B$lLc@4Remh1_ok0oFs;Yn5Ydj1oZ5;-2+nWgL~OpA!Zzw
zQbTB~L+i!4iynu8{E>E5wtVVF(*cT0UiUryw#Eh&>bNkgt9ng^D8Yn19{@8aO+0Aq
zY-(}Ym_we_t2(y0xzl{~1kz}Lqdt*+vu2vEUH0K6B=AF@$|oLM^T6Q-9dwjEmz*{$
zZ*0QwC%_8K;#~s1gXjifN>{>15wuB=fIK4I^4^htH8~!LJ9u?-mis*kzaQ^b>W>wl
z2@Su6LMnb>gCjQo<L6ymj0-~RQ7VQ2bfUJ4zkl{h#Q9JO1?3h}B?bPiZY6HlWjp-^
zeEFUDq49ZlhOm74Rc~I4k#%wDmOBrJf<GVDBR2a=(fBjGRfbWz8)utG!?H&}k4Isi
zj~wx7V6M6{(%5}9bA3D?nNdh*o`-^ee)#3xVy*{Uub{Wg;B=;(T}vaCX=#78@7cI`
z#fQmWh@1KfchR!ql8>4l6AL652aJvYn<IBlg7OzWBpoa+E*{zY2mr4yS-3a6x4kgL
z6b@7<pn@d9Vefi|cL)h}Fg20+me}y7C?wxUu%i3>AQX=vH}E%At4qGS0CYu2m>}3;
zS?exeq!3nx74j5hNg3yFWhqkDc4qqlBo$tVP_o<hDc}9MWD_HBGaT3ODtbafCE@Z=
zyyyE1Wg2swGjwx>yCx+-g_JGeFGu-bo$VJIKemlNc%+MKXU>hA?JLZDcBC7?29(3|
zEv@H3{{~yx6*_!oVUR0;R^{q1E*8TMxP-MWlNkPIizWVVi#Z%T`L$g_k)@S$KYgN~
zF(^}hhVd~fsN2PoS-A+u8KPv7;X16CQ$7o?=iWRkQB@#9pPgVT#A5(J{?JP3gizl3
z(n@#dW>Y?s3k0B`4H!#l-{Z*JX^copgX5f|XZnwu)!n<rT0?A8z6p;5q-pI5?Q{`b
zO=UgVNR$9{!wY5_$rEl}M4gH%buT|#m4EaSwKBHz$o)BzpV4-E78%nPBM`d7=sR*A
z3;xX;<iy-EvM8qR$@0mFwV8h{L!#xIFr)L#*>QaZP|56jT><B;xR_TR3k~{4-Wdp*
zIPL7Jc$tc+=A?#h<YSw`#oR~drfZ@0mxvP1ZZj=yf%x&m+7s%%eh>&d>++dB@?uj(
zn`EZuMOg{VNNRx1iiI^$;J$)tP6uPYKOdEVl0uQ-18t^AE#&a%k||8Lf1kZZxdeNL
z({ioDhOq#f_VDUXTy+&DzEgS;jq`;aYHQB%E{ixHxdIyiRXkK6GN0YPvmHYlma}^a
zh{OvE3lGn)u7t#8`RIM6bxF9DDi*A}qb~OIzAJ~Wf_thq5p|Nyll2lU&JuX}BVVx7
z9)1EG^z_W2Fu`2mK!Nue^GhnDBwJIs6%~v7LcskzfcTS7bsrgD_sYlNy;M1CBGfJ~
z$%Q*@$SveGTo1WC9>Y?b0&D&L9Y3QzMOUPg@bElj^bbppI&ul{4XUi#Hy@pg%=J3@
zJ7QM#rB{o<cg8D)LktQva2+Mp%EG!EhMOwK)9AS}vEQx@yL{ZyyJ*?W0E!ru1R$xK
zcV;)$E2|y=eXQPF0e}Ipa9e?-%bX>r6rB<jnR_B^{&KPJpnH3=PKj--FHb?IZI{zn
zhxB8#L(e>54fXr?ckdc4C=VVcKuu)cGY&S4J(R*k<;rQnjQ7dRLwEqxL{)hS6}ONJ
z)c>eSBcN!eiaPhb>2|uiObVxdqI&j62*4B1<pHaXhfdeFn+N<jpuS|CM^78MDQV5U
ziY89<H5b$iEvvrO3KG2$Wo)WYjEU8t?}4nWR@UOI)C;hJ@jI#|L8f|HFel+p(f2vp
z+3^BD2ZAF{97_=?!r7RYc_X@>8qqjqAhLHp{^>!~3iqx0njg{sXx7p06HtO$cUG=c
zTW}VuJ;m=Ujp0LL6J)hcgwfpE)&k=p@x|;K066Z_@Hy`-m7zbYwSM1`e%SV}&T<TQ
zs&Wxu_&N|uqo-z<_v&Z$#irvgl)fR`K>mtZ*}JAqbd;b*N#e@vp%hwATf2t16aSt9
z{$x@ROpa#XZ=kxA{h+JYl@5D$<|UII%Uh8A+LD98w*@@QZdq=03=SGgyxPxWj?^o$
z#QE}Rvn#I@5cE&GwydkUKM~Z}cuDAO$kl_U>PFDy|LpVT`1)isP+n!dpdkT@7YGi!
zAAyTzzw2j<>~p<$r?!-t5sbSQHG8@~p%W;;F6V9NtU{#p;pKDca>uY#6*K;~2uX<U
zg0)xZ&pYTg+PeWC_9;Y13vGM=gNvpCw!`92L6k2fBi>b^!VpvfW1rD1=Uba&mXzHU
zsNut_os}HHFXXwu83R2loK7zNhR=ZoK>G~}qbBCa=VTpgnYq8Grp^y%*OOrbuLEVx
zXZ}-lkw3!u*ZBS1t5*Yx#@F@!ZBBqkl`@BZnU0Ki@0)yMUhI9!GJU6;19X2sv}x`}
zb-4ma9GIF)7g(DQ*AS35og8g^Quj+(UhXSZ4(XtLlj!AVKuX#L)KY+V5`b&HV}2-#
zuro)FpdoL5Tun{ZlsJ*sIePT;q~rWV*jUzz5OtYI;)4bXj4bjKulnXx``mxKKYZz*
z;V^4Gb=Uil+HM{4Ad(1=?}cN?geP#xD|3ie)P;HFgaN6n@RYfSpuj11oWLQwvdQ_m
zh};M_|I^@}zFZ0KYGtdSsju}LPwYiJo`%S)7*YpK-hbNv4QP0YPjSP*XZP?dn%i9r
za}df0x>v80a6oz~s9%W*84}O9g5$u=tyt}bPDpbE6TZK-W>{0nUGp>nvv#8LWRa98
z!|dp=^^sujERsBOkX8eoJ$?#i7!xV<kl?j;L``Dzj3-21J|s~w4BQWkr?%fkd=Gdk
z;YImR942PneTi4nW;^Ho{w4JMY>61c&J{!RNu9F{ne-@b{n#OYutS~zq@9ldSn1aJ
z`AI!5o5ym}DBXEBrs*{XrgEL_&EQ`-QAyK~=R^iEn?KEwX2afa=~EF4O59jm^3Nqd
z3%7r|+6RH}!ybfu#YM+$nwbAU^mO89VxagWAV^9^%iff;491R_2qYqMg`4xt96DSC
z7Lij~2f|!rWr2(suY5A2;g$d?>E^HFc;Xd*+%lbTS}lwG{wl@9sFn&97n7Jbx3$S;
zsz2^2+MI^ekQD;9i-0!{Cd==@M68VC_O0?f<bmGWSa?_dQg>{2oJInm4gKToh{OT)
zxBx~S##usB|8`y5lmAuyv{vG5R|;{o<{@CG+sO>$E7{oMP|8qT(1uz4tKF-WAx5Gb
z1ylZvp|Gx{R0gRsGi~fNy9vExnSPm!ks1_agXef`58qtjQ%Y0gSF8{4=fSv@$!Wdy
z?nFb70-(`;ZeCTRzVVh`R~i7@YlrZ#Es0jR+fR1lTOBUXw`F}q_}qI+X-ekKfn{60
zi2gR`c?GJ)4H-fkUG9}cSy3cWJt#vFz_puEG-~R$=7Xci_9>UyxY|n(Fg`%){=2TI
zeJ~b$K4n^*<ajzalKweHuw&Jvs|zwC<L+z5tYD&2WKYOp!!KWs$xYexp4Z>4@V~gF
z?|yomdE?y~w+cAKg7F8^ao4`sf3<MvtQ(NP$Rhb&>FnRRtSX6a=_Ng35e9)HLth`d
zSWbQKA3UlST0olZ8aOr3XJR%ADa_xR4&;mtRFBv2@eM@3;yao$gVBW4iX;vQ5~+AD
zHv1Rq|KT)JW?_oxohVn0sCIZSk`av=>()Bb`TV6P<R^l*EZWi>>T=&LueKZ90WtyO
zPO>O$?0=1XFl-M?Hh}6--e;=h0Vdd^Z;R?_ib4_daZnobqfrT&qaqlB*3C_}*idLh
zkf11O%2BfQ)rv~yA2WJ4bmht-SJMcBkDJrkA<<&|n(a_XHx-`wU|HY#xph?MTKjPS
zv_dbaIzFps9q_&a?w0MD`ZnY6?4h@SIdE~&65q^$+fU=eAE>=X8@7j|YYmgq=A{d}
zr<d2O#bcy-mw>sm|Ha>TCkcQOFXS~Z7}xD|Nu>$!=AOS1p!fwiJlcyiUB3H9t{hB+
z8#LIYTLRDzSNoG0cKas(bMMJNUHmuse&ml}3<1zA%<%Be)dc})_HyVc===2mE$HX^
zI}uUQwm0bp)1A87mdGk@F2MN3%Ckid>h14;0}N<Zo>dL{6M`O=2&Nc?``|5ymVWLV
zxD4$T20{4iG+M8QR)+MYjih%ejEDQoBl&Sya+L8al2*nfZ);snygKY?-fiy`GaMTt
zoh8byW2D9Viq$|MNaf=-?<|KIfPq}&i)cGPw37z|$aqh7_NPxnn6ElY(DZ_j51+7T
zTXhX2{DLS!c8*)VIhAeK78m<CpMK{IS@gjon#N9fv-06E)tn~3Q~`T3+`t<pISwP_
z=3y`$=Zg=I^5mb&zH4qbQYwY>MqV&y+m(Sp{5WiK{;9KGZg~s4PXPlnO-fT-BWmoM
zAyP$$5E^S6ex*9hM19weoMDy)b)KMxIGTOycV?E~_OS?RuXF;Du^RduQnqtO(v?U^
z+JVAhRC`LMgjX>>7T!ne<Q^PBuHoA0oTYo(_N}fWMAXP>cjqP6N*shHy5Jffx0?Yp
zpI27~&Tjjqv$Kad?RAwCN-AZ<f@l*Y<h_5rHTh>d4%B9xKSq<}`%gGis1W4&-)CxZ
zV9t+<+Nx!Yw(z>=MBNCRVQtCkm~ijE&*Z)^&o)vKQ@nx-6nV28IsT=D#%5VsQL|ty
zjCva<GHA0VtlfD=3Hql$M{lgujOG?7NIdn4FB(%hiQ3$*6IoTrF7(YJCR}kbdFj93
zDA0Dj?NnjhM*lB(Nj0?<@Z9kAz4G?;aeOFTfzm;ks_nr(bKyNOsKC?v0k#J%t}1t@
zh6-Vu%k6Spt~rA*3>H%?tGO=)G&X^m2oS9Gw{OZI0TwWJH*jb->+|h3>KM310a^cb
z+V#Iu@M`Gi|IatWvgsfz0NuC4B#v1H+vW*Y7zo_lJw1x)Ss55mEjxA%xdFNirVwCM
z4&;AvsRl%KD{yGDY=rt42Z4BaNq9Tz@{SC+$1e}uvo<aCnlkllaoRy9>yvXkm(BP4
zLhLM=CxO|_@yX8X0oJtK;bLRzgS{vY6hD_{>$g<NuOjk9p-ZCW?)U%A@9VJMmhecr
z{HMeqSU<DM+q@s2GfqCeq?u|MSH}vYt#8!{nciJ^eHx5BXK(RMA<k*E^MAi+^uFfu
z@1c$7;u#NDthXQ!%jB<4$M!}$$Deide$8<PPeX`1f_ZM&^!4W)MaiC*9T&Fw*?a2|
zoA8>6fFpxaYHEqa#KmdI2+DLe%Zv?fmxFu!!y))4WS~xb{@^bwe{8hBN*VrIZ$_xu
znw!WJ9|)(yy()JE!of&p+>m(eGjy*#?^j>VgqP^Rgs|61SOw_z9W`e~b|nzBeSf94
zZ5bh=81bY%3#*+EIGHJG4zj|l7lYl|qBgTuj&u$Bsb1q!f70B#`~`V4IenV0!>S^N
zou){`#-kqg?A!dUVgHJ^{tM<-&Nm#{sDq$2m$R#>rv{VRlp{6ERXs(on5hvNMi?C#
zqhHIKM&O{d(5Cq0=<Z#5j6<+OR2WVTcP910Ksag9(2j?*co98=l{U-FJ>ehL!%+x)
zUPVx<)%c3(g*Advj*FKI3$y)Z>tZL%8HxEfj;@&51}5z5x@_f^oKG+ZWN#dhI#3r!
zu#z?ph_TCq$JT;~VB_+J;gce@0>s=lCtrx~fRrO2<M#lE15Y7B*YQ#iS~OyP)Hk-I
zC%FH<i)8UpH2(SA%F=>yxD<v~wfP^PgYtim^+&TA%w|_W1OOLis_**keN|6lM+xkW
z-1;uo{>^A>)=60frsb!?zS`QSGQOOV3niXRFAOJP&|&Y-oWZpYev?B+NlH4O;9p<d
zry&8AZ|Z1UzAtTwL<!3G3{y*GB?a>=*uepx>$SXF@6SUebE1tz0xv+I*}!{|#7qN>
z0vs%E5l#0219~Y;+r=JZwzNj%z@e`Q)WX5Sfj9eY%kh``w_K#pXbW9(lI#5FOlkGe
zPLlhzQa3&#O}!PZ;{hvH!4?L?d<TWuuX4-FLIe;^A5d;3EA^#zyYJLn)te*Awi@fA
zq%rzbzk$;ZXo{5bfDlqbW5WVc?H^LnTmw0#Jw`Kjj~PB2w^RXyyOW`t6~5vA=5p7f
zq$;}mwe}T?$)o1_RT=Yk8Lf*O2Va%fP~Uz{Y1)#V#k;Sf)T<YBbzs&2Y|Mlo*bbne
z)|SPv1{rb%)_fN~fTc<V?nM7BYiY0U{o5=fqjp(h8X#vME`UyX^5$1#{jx<7zX`X}
zPV?0DRSgZcxHo@g)M(*xY(KwQ+7nG%j#tf#*Z$TsKkE7}8fg`&biswo7Fk@D?d`Bp
z*Ye2=N73r`w3;YEvh8E-Lc{7P&8b~PSZ-mIpmqY68_&TH1$yKm!X}jQ$1fDIxgM>u
ztBXH;$KD6J?rp$?563ABB*9CU&v^Wja^oG$GW3Yp2L2-tpSB%xSDggyT*$+_*1Y-*
znSK0JpC&;^xv~9@;G+f+Z3H)GkuXFKz+0&d2t=kAB2yYp7qEa?$y5#CU;0EfF-nCP
z6aq&79#t7RltQNF;aiJ8yTzk0`BZ>TQ&^(jFtlqixYrITBwFy3*gC!Z&sIEB8Ts$+
z7^WLn0F<xS%M0{9g$CKhc2@u60_<ahn$>gC1~6xN^|zbRfIzLW@glP<2@o<IA7ZTF
zXmR7|PE(RWrXba_sA9nd;{1{~?yDyoZv=SJCS;6&soq_MZ^b1YF>U@R?SkcgC<gMz
zqBFMioPFW@gwF{o%Qz)ClYdJLUhnEVu>&yd0L+rmfxNl#4<SW3S4LSQ)xcLzj(ixD
zD-MMN;%CorgWGggK3;C5Of*Gc1vPAu_uL|=^_;HEuJ=k*(j$}SCjJOr9xM!Vbc0Ng
za5YZ;zgsrGtLg#fvd+(oL#BR{PSz6w@<?M&A?W(Wh0mt~W8X8OjQyyU@4W!-2w|ke
z5>w1jfsS<Zx-RqVhkLpdNKn7LY}gZWPdu-^Ih1VX+{^rXrrq@qU9{H{_#-4dN;aEM
z=1oL6^M8hXsWeZ8nIjFdO_5$KIC83QbR~%3g-#R~F)Ny&G$d!)Yp~|qk*=PP-(FSs
z)_cr~E=<Ek?!LSHu&pj2@6EXrAaQ<tTc<eL!e7gpD2RDcZ?(`m_BiXU&65KK;vCe(
z^@paarLt1-M3o_SBef03sQnLk1Q10yt5uBz+23fpdwJ}yy#7|tISjJfzI4=9L7Ljl
z1t7G>5J?CX8wexdz|nysK-!h%qg6Nr0?kc}etE%g0!N9S>fIDOK*{A6>XAVMHjgiU
zq4kKnR^2#|0#LX0??>-oett<?<xK|P{4H4SKzeHVGiYPly+lT)lTZmHU<Iza$MC^A
z2>N?*@vf}!>CRk+8msZ+Xx%5Iap_6!WwivA94<87L}f%H4&e~mnY!C=>Ar@Op4oTp
zUZsdSXi}<X1hRC#-L5-!Rhm0xKucj#?;WLB0t$1oL4X8uMgG4>JWRK;v<3V0T%m<e
zfMk@^WjC1Zh~e+)ovUh>%-75v!1H`07?08%)uTUoVn+63%pkdPYbKz|G?P;yV%5x!
zG_@)vSs-x2(}(*fK~Zw_T_y_|6)#I}H4MY5`iu9pA7~M2UxtgFl60Wv?E??ejF@u;
z(Q=#Qd>cyp4eiV+Fr8#)x|dLKS{8)w=6eB#Rm)KE7O6-E|91kCd_>)jy+omvE9HhZ
zhTeI`)UGb+8pEz-$Oj|&J@jZXLuXKu`euXii)}E-ix`k(Agib^v(;ErQ&YVSWWT>J
zh&DxnaE-XWnaK2C($b@tjF^82)@agWRC&mA;(}p{IaFuv{AF40r}jDWyQeMR>{K~g
zz!i=!p_|>!GPG-b%_7q;95S>vHikUtqL|m9p9FQ0FtvL%l`Hr0Uw_S24&9D(oZKk)
zIV6^q<)}ZsV*IKZ-arqaTjiUM^-*Aw8GI%=BE;j%EwP!Fdu2`+rax*0)0T%mn9qm}
z{IM{g!2_6YslRy*2Ng>!rTr?E*W3#o+zEERIFy~(7a=E<IHL1au;XJDCD|>2W{>3S
zPn&)Wh7=TXPY2DM{2HM3B5c~fJhXP;%!|e`H_0Mma&L1$2`CXk<jbR_37<t4Bj9A7
z5K@N(tI;PBkfc>kzR+K2w+O|mO|bbF>Z+7rKJ@Yco3B-O;--;ob!I;o4+jySZBcCw
zzM@R>C|TuL{o~FNW<{3RJnJ<v^%P5YLvth$3%24VMIUhTj+<O91fMMBRSX*n!{4FI
z(ajG3x^5d`G&ALH=qZvxV-5ilg4&$hE+=Z<k^y~(yCK$FM&$rY5Ew`V$zF13OJ?rl
z5(Okd0FOoy@AhEIz|ipekehR}F-yG=o<a<y^_6e(T0Or(8VdibJ464ALgp+z1p0Qe
zUkw*G`cMe)xL5+->oge@L5nAsy1O?6E50468=2U(bM`usOkr7~?V5_U=4I<+ecY_y
z>||Zp*Qq$ztNCz3KBKnln`1^IfV>IVz+z&lYRp+0au$D3ix>1e=|cw^lQKjblj4sQ
zQfRV`Slx5dU)34gN#Z0v{PS!ZC2R^VHJfD8>CPR@%v|G(S+1v1FsW?-cJ9JsV|tcA
z{tAoasEKx-Xa3%w?H4vmw?ZsAy*LcB&*K$2iiP<}Y4OtJl1cg7>As3JU!RHsgJI*X
zfb<m4+Z8JeJx{U18`6iUZ>k@O8~2CX$$y(^X{G;EdMd}&B>&qzc83ovP#0bBkUI1e
zW^=yya>23G;f{_J_g(t@^<1S#-8B*$5@@-S)xkmosN1`^Qm2cMFP{D)Vzg^XCN)R(
z&*QjlWlgG+PTM|B<X1nQruhz8*=Z+NXpCt1xv{M9BHmE@>7;uX|CUFSypYoGGgAQQ
zDIeMs@-(Ec1z<<ZA~Bg^utG}oq^L9qtiblMnJ!tkLa7-XyNi*}ka%E)ab^3`@}a42
z{azR*tb4!4-eIWiuuhl6O>i)pz(EaMS*`V%D+ny0Y>Nj%i3Bn^_le=~hcSlS!{vu<
zzz2b<6!p;a(cySj^4DDUq*2yqi_`c;?QcUEwMeB^#g+K2XNW#%6_h5yl$2}gcLXC_
zy&eUe3mL8d?w<@<q?M@Vpv&7@lF~%KGkiZoERw!EG}Y7N)<b$C+A?L27QfvX={~qm
zYd+z#<@<@k95wRR3jT_tv1+;gu>{78#hr(R#j6DSx)gipt*xDf<;jpwxn`A=lw7b0
zt9Q7ZE6KP$4F+nw9u*@y=Aoz;5=8b|6K3iBfco5ceh;V|T<8}3ybv6Nz>t93p3ZhY
zKEdtgAoJW@uRvkAKNe_j!ib1}>@NVU5<uk2ngrnLOR{PIo#Y7lQkx@TP*uFOafY9x
zpunU9NnDx8CjeT`pnq>Li#b77cbBNcM3kiIE=onPjGLBkY%4|B*6is38?q`x)QL)Q
zWb;@Ii-ye90ca`URvsvz)7k4ZjpK`%M5MaqP;y{L%`Q-<o-u9oJ&CiMu#h-f_}sX%
zO9UpL*3{PAzDjDzJDw)6EMxoTt@F`&v$B^^r9<|biXpRb#V?CATm>b&kb9tFlBF{(
z*JuG-a)S=--*t**X`!16fJuxTkz$<&(epF~&v7?HT|4QFA%frz*t~&(0iA5iPm*Qg
zNhOYtQAyNAUc1@#Y0*7w>#LeU98d7YTgMmnBsXu~-!>bq=4#o#w97|L6kzpvl~Oel
zFSBF#FmB-{QD*%_HT&Z;e#pM$>yB>krN;84*C{@J0~?l7QQqmQA@Q4IcJ+uai+}is
z@0-H8Gc%s>bk;@3eSF~Jfp|;YgO8H1cHlWX+Ub+rb-Zl7y~x~NTJLsF)1bcU3sy{U
zR``iluXJNMGJta2{OzjJLA!J0h^c!eM0n0`qZB-D4>`J(@j4-^>A*44*x{Qt+>G`l
zgye8t<}i6lVO9D=1@WH_JSmGqJyjx7z;*Pv=40gmA&W28!rJPWWoc9IqA8!2kt;=*
zga~Z7JK+5!nHp}q9Qj`QodA#M1Nd#$p5wqq-F6`x4X)m%IDYWNms%XTnBYVMgJIj5
zCr-vrw=>jZVh<i?+psk8Y(_>vy59$baUdY`FPUQAMH4=CyE(lhgqXLe2s=ySP!KX@
z{K+tCME`NheQz<oXG{SN(~SyqE#(=+MdYu8wga8<vSX-3RO;|{eKp|_eu7O4sdP0!
zHV%*sjI>t#7O<b+z**ttZQfMT0x+ogU?lZ#GFhn%Tq!+6!@22cS3_#h+99A{0SwsG
zIXRDa$5D!liQ!$R088&|zxz-u1^}(zj)xnud32J!u@qX)r`3=RJi`JKLEtFKy6XO8
zbOk*8FVg>W&kzi>fNJf5=juM^_tox!eA{-ZnSjhTo&a9i^T|uy`3+1MO9f?(%KLG5
zg^30GSPiQ8o)@Va)HRyR-t?Bg?pjxN&R=yOqfo*jal4llLaUt+b0j#(>GQbhRDJW6
zC<gF5pmmy|E=-h|R0>XcJ?KtD%hu^n9h=3I02gTLwRC{wm1)n|!F3llW3nH%@YL5Y
zWj|(BN|!3XrxaqQ$rW_ZRF9aa0j<nBR-7F*+@3++FSVpyKsWh>5`<$a$6hBrZFs7Y
zHApG?OJbp6#L)jS6oC0k?07>3zwl(R7mX?Utwv{UkB(>_?5(JZnrLE*NQ#nn9L`dn
zCwRke0=DKR-K=yy_)btBQv0cRFucr+92NB^!gNE)K!!SOs{A18I=r#J-1WTMGFf=k
zdgt|X^=BTAU+x8nfBv4w(7wbB)m=+|d*v+SBzA`L`_AX+3qK5yCpbGu&9chu5T(=E
z6x8Bh?Q_w6b--;Nu_(ut>Y$YrL7k0R@Co=_YhAzLMS)JM?j6<;l;4{wbhB$dl~M7o
zDw?_8JE5KP5Y>A%KE62$>0wV-D_%*3!^QTDZ{aBPIIisZ+3{(BGmvg8dwo<}dbMgv
zOc@-9yJ%ZfIzu<FMtHq=vVC+_Dm1Z5dxw77q3YRP<bJA^H^kR3yf=`UBYUX0yL6&|
zhn{uJTRKyxr%(|B<Ne4Iw|d;Ca<W%8><lI|cj-~0x=OTcMeS5;H6>ghMc;I5b4cmr
z=TTl7o-cY#Zxin=W-ic%G57~Ki<cBceY&?*tJucnxb;HYAv@FFlMu&BFIh()OE)_k
z`$Yb^3h{^4f}Oe_Wi4soUuY(|vQolP-sij0@_V3!2YjZ(sH%CvOs<w51<Tj8&h#MX
z#Px1l$&IMslrPFHr!@wa(;f;kTn|aU;!mIlCy#Z~)2f?nOlspldl7y<3+!-hFyht)
z8g&1?#SUws{==)IBP~1WxFZiXF9|*loJ~I+TDzf)U@;RfZHT;Dv!1M>eSnsBz2hA8
z-$26m>d!k(w-tXU0uIuWPySbb0E3hOzkh^WV;u$*`pvy$V~oqPrNQ18MD{JNP5^M<
zmoroe115XfN)Hxkfi#wpGb&9=CVBe%Z*G=2rE+?451P)W#OvoA2dZl)T!%e9Jr~YQ
z{XKkHg2vtFccS$R!q!QXkH$RO#^;G&StbaPn0=sRxH;P~;Xg~&z=oOrm5w0Vyo&X>
z!x#~v%mD<Q?&~HV=L;WCzQ<?p`L6nwdXt)gPpixlsU&H2HI-Oh&#*neGka;Wh~#^g
z$+P+WDf`n9MiMCd{h(nV?MH^RFZL#!)>x>8pxzL-VViWjyk_C~U~B?Cz^+@-saYOR
zjna2I{#|9vx5@s{M*oqeP7TzKmbq4sHjnN}j1%*GqZNZj2VQCt_*Z{)EaJMw%QZy<
z7%l%yw8_b|qPso3^^(-rn)rV1-El87baVReM5hm&RHc4^bDN_-q}Zj!DAjvp8<nVY
zHu0YDu*ANmzg7fWA;_v{g)g}F!S%G!!S2hmButir$maBWIefwwc7~LSl!}%yvHpIp
zw;jq*xOSZ^l%1>81)-lOy^;hIgy3JxJ7Z%!=##2z;N3KHbI}FV`I;$gSB;d}gmE~J
z$%Cati#-%z3eFN0xoK#D8Z_4`2t@3E(QO+bI<3UZ=vDD}POYm`JhoLb>5_Zefl$%1
zxO1LW<$e|aTM#3@x>Y17hOlFYKaJbg+?SmQcLMd`^VOgC!K+G!ull<YE(9+LRVsKO
zUE{^AHQA+ZkDZ^~nW9pnO;u8ZHqLHX7R2%$j3e6I_(E}J#N3L;n}5ZBaTwN_tqXw&
zO3Z-m%1&j7i~hX0uZ*`JEPtUS2^GJ#O}^a%g!S=^N%v!ZQ+&q@(EJt`R|VEutm9X-
zK_1gDj(`2O**LQ;h^ChouMkF<Uk24M6(P0Jeg5r4@66V5jGWxLzu_9_pZ#5>$v*-@
zi`@-r!#DJYTjgwidS77?KPTP&{C-Fi1#M<NoeZD%*7HxC55Q&zMm3hK{>eLTT);mA
z;ztU9{rdxClD8_>&-k6KG-U%ZTN8!-w~i1wWi;Kr@{%8T?SQwAtgI;7_vEl}lF$2W
zNgAD2?n_sw^nTaG-LXQowPM)tH@d^$)Ax7GiXPx@yzeY#k3!rYcmXrNu2ZM$3oPHe
z)z8;0WDM>^mT3SX^J<gQw$=ZGnzO*1T1<^uUK(?my3d@&uy~=?c4?IU@>!Ik9k@3R
zrZifP589;ziDBb`e&&G|KDRBY)%8a4);8-AxzzjCzPjSUS`@G2K(OTF&c9pLlsFBy
z*QW6qh1t9t)APPRhjcf;KIQ0IivHS0t6}8CXXIGN)s6Rwr=(HHbg(l5zEbMZRIhJo
zBYWASdhdXJ6`25~g;tgix;uHjft!DZsq-rk@6YS6l#KpDxewddTf*D7Y<ZYnCdQ$X
zW_Ne;6G<7#IP&m2XsDHt;6HSEX~qVWhyO>_TSi6Qes8=(he#;OAT3=IB8`MJ2!hfj
zN_P+4BGQdWO6m+DG4#+OEiExa2?Gp6cb@Na*8g|bI=q>+=Iw0md*A!o*XOcNcaA?Z
zC(MyBtWsC>8Wm#n+e_Dt?6?iyF-@`_chKX@9F&6G$(Jo<*1|mCKQM!WS`+o)lXW+G
zZfrf~n^25u98TXKsn5}-6KNkBIPugR*R6h&;OrYx>rdA&(2RC|&=JTusf^CcE}Rnm
zcU-_K(_zfZ+$uvY!*0X7j+mXve+>&ZA$G~jeVpp|=+n-O)?Y29xc#|I%n|IejOo~f
zpHYP`=a0F@Vl5-pQ?)dYd}(7Y>!l#rg2T{=@?Lzmw+%<^s+*YZ{Pdu3OvBmQE?!&O
zX{_Jrg*4q+2_-d`>Aw?#zf8xQAcwLO8%Ig*(g?ejadc)0B+2L@;nefiWPFl^$1^zL
zXL2N^aYpDey&E4+QgLnv6UR)08A*y|_(6VK4wI9*!X~t!=_#zlqo9R9S&)(7udBP3
zjzmcP&nVnzPpamaKNAr`HZSw>LT^TN{FGan6GA;lO$r9zVh;Qt-g-Bwfc8-UwG&ur
zdHp3oLA7B4IXCwc^8{qL&wp~--gH|reGVMfYfIYy-=PhxSpjM0dsVx#mse%$6WbGE
zL_91z9vu6hLvBt-N6G)Q5(1_!?Yk8<1e~W~Ioad-pDPpVkqQOGJgA<FqrHK8Ggn~t
zrK%d>aSk|hp;o#Zd}?U_t$qP}_OkV6lgZ*SFHB>PK`_iRd!KUY>HvvAAet+gfF0J<
ze8ih3#LIv&JYD<0!w!nY^pw@p4pa&|aO0t`4Ju*8h7<RpU7${+RBmQsX(%y@wJ;8x
z>4nyheN)rQw^8LuRYT``oRl(dX`C5F;*WH{S@pfT+}akn-S~w}rQy7=ZEy776X-9U
zP)&9(^e`)TV6mq@5?f+|^s}&R#>Fla$`EsLW?Sc;;ys&N<*U-@#@mpg3}v%&=ZR*U
z_jP4hv&yFRH`9m%v21qI{)Y)H=XrtPdxz}`)h{v2tAtI^zqDgOxmx5{!R)KeU?(-|
zQYrU@|9*ig1fYw)o<u#6eh{t-lD0C^(bF??Ez#8HE&kEDE&SX(Yei7?tul!`#^R;9
z%$<W-x<2ncV)>3;#PkVca|9Q$Uyhq&r}4!0FP#U@_5Lk7mWsY|GKB>Da&^_=5A~!#
zfMlBE)zT&TYX)mvty-bNl@m*%#y<Nv!}DZwpqZ<p`kB_>QNdrMxnnSxwYLz^R2ZNy
zOd2MT@?e#6XzfLf)&tROgTBAb^>Cl?)q&zb_Y~*)Z<KZ=fwPw*$`NNpI$)v!E2Apm
zqgB4z#|mnMu0H%<3Bc;r<<1X;6_Rw{^@YF(yXx0er8n6~^)*h`YvJ&h@pHxt^DPbJ
zCSR;&85=@GjoyZDve@((5)l)r{Yl;_|6ws211mpel*Cz3vy$7C6k9&(wlp<>pRha-
zw)nYLLQZ?VsZX|?Uv&u69f3ZP=7{6Lh}#xv9nZlg8*<*N`|S}YeSMc=ymu}63{>#8
zhmk}jSY|DzP)@P$@4<n)4t0AD18>4Nkhl30wp0Tq7eKhmwLa0I4+&r=Q=|a3n`{Ca
zrN}M*H_#G*gN*NMkdl;?l#&WK6W9wnO&n`$I^XYy6mbDx7N+r(JQEO*z4=_0{k9~y
z%si;+&p?9j?SQ>-w6{`B$<@ZPq^?~&*Y`hrXYD8DSMAFHN+4|l5<-@LbGYu>e{{>w
z(gSe10WTkI6iaFnnc7Rps6QJBG$YPv8M635!L*^PH0^1j(8*Tnr|9#Y)<r~ao~#8O
z2I5j0?RIKq<n*F&FQKcu;nLpVG2PAO5Igg`tTxFJV%rKs9_t+M$)oF&$rFEbd+Um7
zj8f3G7Xb)q`Smn>;K1h4qqcEaz`|CzxJ9L6C3ulec`ciN^mp(35dwbC3SK$}H$|>`
zb$pTNuf%o@Ouljt#-a7fQusT^-6O`|@jfz?sM4;CKG&K|5b5K$wQifvNj(Ure&Zi#
z>?Z<EsM0!`)t)UAnEiY<KYDr6syk@EPS`TOYcA5nhna9#2T89*QpSDIPtSN>?&#^4
zF`bS*4sRAttySMBMLuc~TV1ooScHhYm?y$n4}Xe-xn3IsQl?kzI8p6cf-&CfDH+T?
zL}7pNC_poFC~*#A%MO3!?|^pmbe*1v&^H^ki{Q25V$(l0bpaVfI4byklq5V}&r5e1
zO8ae_YEJvi(-en|@BEE*!`*+^9YpV+v$^)RF5O#=ws?(!EbW*+-k5fOX)*0*J(;xe
zY0l{dJ19DPcqf3FxXRo%R2=*pR&qJLW^E3}To<rz@OpDQCJJs3wh9lPi!<Yo+Xd+v
zrbqFsSy^mk-LB3_lK=JPDk-pbo=ul%=jv;bw^c!DbsJSY?ZcHre`ozWqVHB;A)9ZN
zpXYqzTB@RPNI|h+HlU6joOdf6tMusmdS=eNxOCqnD6nlX1a7GLuA&@`|DlVs#Q%@O
z^L_i_+m&7z5tiDU;i@$n_7jdS{Y^TOOztP~VTIpr1brmXetmfPdBe}8;s%~KwlI~n
zG^|5`zzq&QxW)^prMvzy6>?Q^H10qSYG2^3{{NRfYvf|1`$uv51mz+qv~sAc%>EnO
zz{yh-VB$YMOB`y_Z(njA4fy>`@2V8c<n<bnMxyh{^YK?X##Je%#e_mTAj(}T4!yiw
zu(U@(7*WHA6Y7~)YF{>aVMBYjx%vCLC-9mgQAyEz-H%wLzwuR(_=mWgUDgOFl<)0T
z#A#8!8F+nFlm-Vr^QnRvOF(ocIV0Xj^3dy7zMXaZ`NjGNU9ZoUl+P=6=3vqmvryr_
z=8;0(l9D(>3<=B3C595UON6n{a^3#H9z`^OV2Xn(WM-Lb@hXr!h?_5zAsfrDiuaK&
zkngFaK(VsS!jB`ZA`8#V^-6iXU`+HVNA1z0X2G0?3Q2GNQMF(B2xxxQ9R<%~ztA;I
zioZAL_sfEHi=_w~aE^&0boLEgm#pHbv*#rW!U?JFv)a^Yn_LfR!;B^Nq(MC-kWol;
zCrVzNo>0k!3VF<98<%jlHWu<iV`6uwCPy18+;C$_si?^dFw6q>Ea5-O3@$o#9MR0?
z!>~YDJssAR7QYU;24V67tiSW>y*4Hf2O<4W)1pD4Z_<>xdBqvq2hH<sAiH%^&Vn<}
zGf=*G&peL_m)QK<UlzPHs{TS%jQP}Zrr+E?-gs2h9n3Ti6l(SHCD?rvERnH|q+HIa
z<Mv0#PUzxBZ??bW3Io<)U_%qWNt4z=W{0`VlJ{nsTI-dZC!<NU+M4>SLIC|wy;TTh
zcQu0)MH`lFQsHVt-W60xW$Ve4Lrg5;9yk-mCJKRxweyXW&OvQI+tq*rnfqvbZllV@
z`>k^BXY<&60jQonM>v_}svR?CUc#;W4cJYigd0c2l<*{Vgy*r$hl7LqH+{v_nBq1l
z%;K@<dRwL9T}sN8{R8zl(wtvSBz*p4!ndaDRd_U;o7pLkA6q`b@k9YLm7jXlXZotQ
z`|pC9w3<5;zv1lzZH#s~3Ge}Q>em|K%#A4iyZ)F$P^iPl+w-@mh|wSb0)Ol4i#*xB
zlw>Jh+Dq(T!=&%;F_U#;e2kXViQVsRZvcp+AzzNCwNdba4kDz%qGFk%ZP0M?3Bl-P
zuTm3))9m#SYz^xsTR$<B<OBIgEBJ9|RXXHyK*XNJHmA}#%MmTjY8MZmp~Z5k^!@0n
zTD$+<E)6fVm_Ph$(V5=&+|Rvrbu&a%8vdP|q1KKsBv5hWligwgGv|SN52J`Tb6ig%
zoQfK)E|edcm_2G1OBl=|Ju^xB00H0Z%kJd0&sW-{3q6beixq3RaTi&Pk3ZVGvuZW^
zIWAtV@%%4^PeS3S;1BglT71i{Bc+?|quzhgcpb(3sOxb%A3e#v@hdS#pZvgT9t}Lu
z=w(s%R)rM*vp4F41oHo8d<WeSl_q9c&UIu)I$x1=)sO-QgGYT}B9OuaR5;o<sGM2L
z*UY41(WYY3=hui=UUnV(rIdXO`_P2fe4Nhl=<J{*dVz%V9kEtU*k{+XW*Ld>3~y{#
zk}{Q43l|4k=>e~sukY7#kDE<Db4SkJlZsFF!?j&pdk$FXPecuGDVEERP@Gh?eRP<Z
zE^$m{k(93;J0Gciy<SdAp-8%i?t=mQigJh>GWumPTa_mDo6etSZ9n+RtiDD!d!(c^
z*W`>BuvT@n{@&iQc1GOeLcR`n=X2TX$qOxuCiFzJ_eLidiI`6N>p*L6oq5`ViQzwA
zmpTb-goe_8cCKFH%t<y(`7+t(7cU;SN~Z>_XK0I=V1l;D#68kyuW;s!&*z+OWU<G5
z&2MYgsq64SNpW>}^<kGU{>@wlJ$Wp{PO9wau|AZ=)3VH6vP2(86dB)R!LKC?MpExa
zob)a=^u6s0er}w2QB!f)n0jblb%x~d04g<5>~$!B^971ms=3nt<aKYO>@r#4K`c7t
zsQuczY?3>sD_{(KuX|rg<t&6<eG6FL1HyQWGSq)E6TiG$AG-endX5#Rs;*`ABlfn$
zbm?k!T+t+M2*_qLA?Cj58a@6dBrH3`!MTuYQX#c>Kdj)zZT71@`C-tnLHKI&vHSma
z0U+R>@@FC-N=1bvcQ*XVO3HA}%#&ljkW)MJ4P(_OisjGATxEASxj%+8cXo^U%m0qi
ztSYr`(>I-13D$jNgZP2NOuXfx>*V{WY|&UuGMZ-cun(z~L+U6464Yw${$qT$Nn@~f
zW3^|)Logy5^Ypln#n$R&MY;QE6I2k@d@3mJS8uLKivPD|I!5yFe6F<pVS<W$%k#nK
z&K2!`EqYGV4*DA=aHHv*$vW1^;v1d6n9oaB_ihgd2A?o-E*iC)!LZ7#IQUjM_$;0?
zbl7KOhXdAOs;iN*zT$t&hkK3c%`v@$h!fE>@`|$t^0mT0=&}nhT?g#ySBPZzy&4GR
zQX^G<?jvo+s%HWk=z__WBAv$PF~yWs39*y4g~%26VU#54(7Xfso;98tWs)ZwJ|ybU
zjozi+ziC3r+JwYH$*KBX+EbR_wAC|sVQ*3*5RuOpGYDyM3#;>VcIq3wwd`%nCub<;
zh3DRYmZ?qR?k7_ybaD|!vPC}m<^J0|ZMwfK+wW((Pa5d^hL;Ier87XPB0G$l47H;;
z6EL7EyZWVINPV`idg<7*)ts#iUq(US<Qp#KSN&}bgW$g|Rp}B{Q|Ui#OY-!m1*y+c
z>^RBrS?)x#dH2RmfCFA)ALRhinW`-&SCC{=XsL1y;D|mv{W7<65Uqy~`m<_p{>ap1
zTi;<s<F*C6PE7#N*?vn9^;$gBmVIEU_Vq9UD(n??T0}ukL2-vD^Zf6O4ddt#0}8k3
zfWfRC!Wn0H!vCq9_|s=5REzn{Rn_CHJF(BvI@C%!{}7y!fu|Pc@3N*pLCCrKnU(Gp
zwmi&}HWwQ0#A6=(y21NGN}#bEZD8$6tsA+kHMLC;N9Fd1F$#jB`yK5KNrl#B`t`B%
ziyBAPy&xXaEMW-4@94P2>W7GVFp6rNoUi?a^7+bz&zuj~*XJ3?UTYKC3w+I8r>PR{
zrW@G&H7%=JW@}Vo3Zo-Cd*~QctuxsDUclun;--ZG9hgVULR$h5!9(BI)y^=<nuVNd
z8&vod@Y411*?-}AZg0THVO_5e^E2CM=FzOyDZ24RD<7UF_TL?c<j*v%gj><2SLjuk
zru@*dC>5fME5bILYYlB#>pZd%;;xM^Oj`_TsNz}JA~IeWH(z8ToKqetODED?zy(pV
z#C<(u#xs6w<DuguX3U#})8hV660y8JsMAS)T3FXx;+A$^o9ZM9dwDUf>6XF~C{$t2
zib5=HpZ@dGm-VahVYI0o1h<>&qtU(DuHOBubL!maU))}me5_!%2X7bY@X@i`9_9hs
zpaO<_wg`Azy5QS|*UlvcMc;D-925jevu2)=ZqiXmA`=?FX3)eA;w?%?!@Xe&i2;Wr
z**`taxmCD1z9D4o+C`?hD6dQ(PYs)zNn}2le-$P~7CBt+Q&M+kPG?Jnt3b;_qZIVk
z{s|E``<~Ya#b~_B7wWq>a->g)_^NWe$*D->DVAGp$yf&{SJ<k4e4bT;|FJRV8q4vi
z^x2)R_s!J{d9j^<CzMcVyP%0nteg_L<=0EXgVx5VYh<e%&-CHgp>t|T<H}|Nn0F<;
z13+?e{W-IWjyC~EG*lfA6<koQe%{_n8%*Mu4qT8TeX0wPqjok@dG+5AI@KOG@W0XB
zlcn*KWRI*r9}f6&%uC5Yg<O|!DKKZ=EoKVDB~##|xe!11po0~nh6?yte$E@^l=>gS
zG(ApdHdoWO_iSZw@mWU1c<k@d#v)pBSLAVtXBs;#2Whhqqg`K_7VRwrKX{e$@Ur?G
z#qXj<^ub5sy)Apkt)F43*neI_5(E^poZGo4-u8OdnFhV6iYW=t>-EE;JIwKlb|2AM
z^N{_?<rY*bhTNs$)CJyHU~HuD2ET6l-c0PJ?Op#DASRX-C84VLJI+1is-3~$(^h=A
zxQ$L%Q-MKM?R2Zhj9D()B1l?W>S-J;O&!nhq{>mVh}bS1IIu%*V|hU!iWz^0n>7_r
z&|gGyq)@(DMpYgkxM%?m4X*updr)KqV~vPrc|Tzrm+B)BT?K8f^S1WFf>msTz_kcE
zwY2?AZG*H2Y)Q_;b6<+cPF>kvVbkH0O0;F~)Qx9PFV?)v_``t-$cX3LS^b~B!WHI-
zLD(R!Tp8=pq9huAs-5o=ynlll)p83oH_bK3>yUhIWUnmaUPrfg5>Zn_GwJa+WAkRf
zsLdD_fwcRRI>zYQ95kn{*uq|S>h~S-S!Bh%N8jY;*h*?>3MEMPYLJ@|tN4=Rg+B#|
zr5Z$4w)f><(x(RlU$|w*8h8b9%BtD@+L~yUGCG+5u@sqnEM}f>OiDuPQ<8imbb5s}
z?-&}iDaoyh0jQ&)RIF62@PdepudeAwdCcMzDanY8I5smw#Qugk@8XlQ0gr`rX$8fO
z=!tainK_jqtad*#m)W;|gv}ZeYLw{c90>vC;mv{R9yY%#6(Og>jgmv`Q{zbcg4~9g
zdOC~wIH{#Cnv1W+c()ZKC<@?h&CR%>KvXrx!#^@fkSu%N8@Tw#O8&2F4O9VGVY&H>
zcPC3S`k!7*?^&Pw{{Gp4(b@~CTnQ>dx|G>BBVAOAl0A2uzahPgIem3pPGABvMcux8
zKD-vN>EgHrHtg@GliAimXGk1NtCkt1twv@&7lZ8W)r)PFyBi%_%7LWarOW0ldbHJ@
zJ~aLL43@DzM$<VH4$UP7GyhIvk%!$cAqGKxmcRdnVxn&^x0>4@K8#sNH`W}S^9$ZX
zbl&XUFHEDep1pUni8d$`5QWx9rVJR}erdU0vA}v0b(+Y6bEHlBNmOET<ptY^6Pc<O
zf{gS|x2kCLDl4i{1oAsAMf;c8drS8BeV!_egE{elMIq-VX5|*<LhI5}8VMFfUfVj>
z|5P5_uJx_@X{u2?v-cAZ0>nP(WeLy1fOQBCz;?#!O3#jLD^E|wfdfKD&Kb-a@iu$h
z+}GX6%sj&tF-Ok!ljnK9o>~{ByrV@1$B>9Mo0ekz3ydBXr~DI}rF^JSWmnQ0T+lK}
zn>5m2aa8SrZul?5?7~4*Tk0a}%LlE=uR`}M+WzujiCHY=T$dczv%Wm-BS=n>+=C5P
z>YuFZ`FW&g!doD$h$cFUC>C*9?~MUz*)c~7IZFQ&1H^fNyT_~jduH4pA6kv#ofO2I
ztY7lhDiMC<SOT->n>&92Lad9KNPoz%{1z#VTQA9~d?7wYyh2|uLEAGP>{NFW3MSQc
zv_+KRqZmtB%1R)2;>f8@e9obo`b`qtGqw~I&QSc%iu{?u06TY%(AH!QoT7);9v|;v
zK<^d*;l{X@c8EDM``F`yqKrU-6Mm6l_bLO8u9l>TU(xquHFdZAhqep8p$4^u+<~Zw
zB05J$N84*oKK^&J2iX1Z(A1&C2jC9K{7db-Tl=Odo>~;%BR0FYRFh}Hmwmt@bACXa
z1#4s-U`=SbX`!JYC*N)+1aYXg>EGmT##8joL3Ptv@RQ#!rl?j|F48cWd3|0vS6+o@
z(^pB|yn6)TcvrL(XbmxOhkBMaXzLaMZdSOky^0M+QoV8dnMv4-QKLN^X*o(yS|No2
z2V;NGplU81h%)>Mw)`Mg?P9u$g9u`*-!xZzy}h=zQ)rd)M!5qI1YXaRHoo4hf}ABx
zTv#XDHY4vPE&t;i6PxbL)i?U~^sQ=#QI*3Gd;D8+;u&At>s#cEi7fqw<MiBmfXcv}
znoArkoj`F<el|l$*I-_Pf;f(ff>D~<1dCJWF&YMM8y*=A*5vX#LbSp2bVd4Tt@A_R
z>I)xQney|kDiY+_vf)riOwN+a^tk1_%#FjYC)T+KdiGSE5(4blvoE43umSbuWskfW
z9ZPgt8l_7vXBu@$`X~K9JpaLH9Z^y{E+g~o8V{+6H@Y?E7#hwjZ)SW3FM<*)xURKj
znvYu7#Jl4w1yYCdhbbJ+<k6@AGPk#OygCs~9EA+OH0O*;gl#P{tc@q|o=}gvE9}J@
z`kkp~YLpSM&RiPk3B~<mrbb4Fg#791qG>`H8kG1@v0^kKxF|J=GA`PZp3F!8KBb2e
zeK&n$7O+S4R9QJ$l>igD6C#r*jr@02{q74a1VG}^xn?D@Gh8q~FRh#LlchYAO@!zU
zs>!vPZh+nxO2IT`H_q%F$@QGu{c55}_QmYc9En2!^G-W3cl#AnGw!JA3Kg(dM+uJ3
zJTWN@spfmxQeO8Fv=6Z`?HRu52q>8vA0N+mSQQ1vvP=&DD@LTZjNdi4|DNpC#Uv({
zLbjE&q}6>*nG!z)wQ@65Is1UbZ=4R^c6lD>u_&QFhZyxYeh?l2k%al_toyg<x?a0c
zei{a6j(CHWk(LT165`^UUXm6!mybY3n)T57^?6goFa=|=PHX_ku>(($ABPw!GU{g!
zUXOHt06+K9qcIr)vrv<;q9XJ~qYabo6~Q~~aS!EOE3(ZVhuYO0kvB4{CNXDZnUBEq
zO{UTjk|Pj`w|d{4N<hRQUo?r5;=gd;Jxmv6475hi(qWye=nO@dBeN8l5}iv-$(h;o
z0tLPYvK)?gPqHtfXJ*E+?J!QH#_2Ftp?wg3G^D_bZq3ArHOX;bMTFc=Z`USPzC2GP
zlDcxIzo(EaR5w$`&%%y9DVcO>D*xO~2}-M(wLYpm3ISJh6^1`lKe$W|dqGYW2|`m+
zQikaY&a=wz1?kcDMGK7@N3$<DO*wVGvt*QA@=!kY=`#83Zq_tc_f2!K*{9o5j(C_9
zJ|3le3<_8iti-N2&;P48T+osFLp<@JqtTYq>nD-y&yz{$wJ<MzSH{;wv1}RcvxsGe
zEXJ0@bb*+`LIS)5sa9l+-MT>S<x%ahcvU<d{^CEEXHzmMWD9|96;##vJ=yWekD@dq
zsqW*ikl_?Os!naaUCP(4^iU$!pP|LPQYS7r3f9|Hee=wYM<`>;!S3GpN}w2NV(jIe
zbgsl`GBYT!e)JAK!@ORH_d(5UgAC83r#nD;u0d_&-Slm<ry_&n>VATnq89GMl>3zE
z&gPc?%1+C}rp-lxh+tWNO@JvMaR<s6vTj(oc|QF2zbVrH)!iLGrMt)zAP{xhVfune
za+YptQsgEAzIzv<&;#tw1-FNIdr$A3rR%2Yj{2pr=?(%2B<!l9@HQ@V{GG|$at8Jf
zg5>k8r=vs=0H-LLegA3j?Lq8{IVmG3?2TM_Zm{m`$$No$KB$33Wo70f)wo@mdN(`C
zQ~mY%Cn^&1xNCGIEWqAK6rZ}pcdJ0k5TpgtZ!hc(ptdrWdz-%DAPz);chhS|{n!BK
zHe*c1Ghu$*K`_BFsK61;fG;#VxSpjPxnBNm@c!Ayz3WjODEw-_eL>(}YF*E0ytoPM
zq8OiI)K7s5)Or>w2v(B+opxAJ-zbhU&)rC58ma1+qdg_;L^cFq6TnywwZVua{?c`u
z5{&wD<rDGY2B;YE#^krB(7_%OPU_kU8#4H*af|fxo9}L;4N`~O(7}6aGU8~eFv=hB
zwH!j6g$>D}I^fhhW^5&LrY|w%{t(x|nBc-z6h=m14?jOpyZtxEk?^;|<V#^2Xn%$k
zPb*p1bba2hefanSdU=q$TQfDOAe)CSsSi)Fd`d30!u5##uSG?Tl>KH${*S}OnTJ)u
zlyGuY@rQt)mpwe`t4_Ef`n0yz`DeNNA1Xd8YEUU`9&E7Jn_iQCI8<?;K(}XPW;foN
z`HlKhT0bL$d}><KIKC4`5nO9=jvAAxp7$lWo{ZcMSnz5vwP246v#|BdAla+r0Oogb
zv`C7Q!(Guj&yT5J13>u9(U5AhNq>G`FEU~f=m1~ZcUyK7RSalH^y1DZfkDW@<uk*?
z*#CE%hOGPleLTx%{_hRF6yy1lp8RgH=sZCj4S+p?zYsUX<Q6eY@J*sNiEdT$L(~>d
zqM%bM<YlAGllX9E;&5Pc$rTe*C<p{kQ&lfu``iQl{EVEmfoY4BcnILAU_(hU_3bRX
zND=?-g}pX=qVVfEF~x3u#5-#3Sse{UZr3v_2(>>EaR<SA_*8oB3~TrcxoB4Wh-d<;
zGjc8#g+E*?ajD|#RrwV(2J5>OUTDF*oOQ+mp4Ys@K#t|kvGwAESR;5N&t4l+L$Y=7
z<hUmKL0-Lh$uj+Mzh%9?u$3vLqck%!pwB}n9x7BXWJ(vn{Jeu(;WN**C_C-Mnz+(D
z_F82FuZX(Escft2^RHK-!}p&?31yo-y88SDLfK0uJto>*x$~adC!ppx{A`)ecdxc$
zuKeUiY{45Fd^3>auD~rxq+~y9;*GIsM?R`*Gc2D0h&vckZjzGCa)UviOX-X$l0Gi{
z96Pjm{v+*tXLKx&n(kmVgJ-8|{Y<5gAK>PR7N`Gw2C05{s5$3t8SGbWG&>)#Ol^?f
z^mk@y$@Tt+@rPtMY%F2LajPYIV?(QqU&6mx5t9jiFK6;tzsa2B$BUzl2dAegMwZ`u
zZZth)y0rL(jWboxJJ4u}en`iFK5l)w9;IJ;8eGNiyuGB^jV8m>s%&Y04R4|$kln6-
znQsmE`9ckMr&;jlOj)bk)X8&XQ(V*#w81A~iS)HS`=rUX^sdieJT&d8pgO!C9@c#;
zCpA?0qX-qC&45F3wg9QzyAT+AJR@(UXY7a`_`x9HsQYzEH0CXNd_NQ#+^}f&UsuQd
z0_Q)$^FO7N7}!zAF3b+40Q#iZI%cUoK6>roJe%mTJrE4;P@$*JQkeFDDszbaY2}!6
zRX(m9g!<j56Vy=B(+~3-Rr%!t=1$TqR}B-L!HWzknVcq6`=`v{T}AnxKCuUK`{bLg
zz<4D#^*Wp9qp=ayuVVIj8LEbJlRb*oSF}mv@-;ab6_sD}&{qwUCayk+&qK4cEMUbn
zjjj^$=A|!h+rFkX*J~z?a`BLM)7~Dsj!{xkohBGlps)-mM^64{xHXMX;_el3$;L@_
zDc$M%=foUk7soYh)Fe+?+z@2D<zq7rwa}%;>3P1XHEr~f8f~w%x*@nm(8>T!@IcxQ
zF3x#mv{l}IRd93~a8sMQb0|GK&!SMq+9E?6$rrO};tJ8%=q32+z>Dv<muvn_(3bvt
zPk>$7b)Qz<bJEplUhAWYQlVIOm9BR>T94By>!3TmdOFn2vyZTO#nEWn-UCb^;wR1<
z;R!5>?TsBhYGF;gDkfEFfU*@2G{&_;?YNdV8hhq@nd-v(C@{8Opl9B`2<d2om{ubf
z<nw^=5<}{kiG^&bRSi7Q(n1|F8E`YFw4;LfSK;AQa>VTB&tMTclzoxue;n_9T%2xp
zapZV=C>U4y12q+eORFnNxhh8}#1gBOMhA;)XZYMw-AaY8dSS2iK;D?1a4|Cc`Cy!9
zK*gqqS=w)ImMo$*L0H(^3CsFf3~~!K=h86ydQBV+pav1<cdM}mO+Fe*brF1%wce=s
z;-laxwetS?TOT2m-!aO>G5bH|{Fd+k1a#%Kg-@2}%bgJ;Hj|i>x|y^IK{Bb_QKqv$
z&9_rxOy=z%63x8q9}fqn%J>ZozA@JmhKY)*o_Dt|A}TkKbew(7bqvB<+^km(x-i6a
zo_kGBCPLor4tZ;1Wb23rik9QzaCSe6C;zC(+v1tzU|m6=H@D*Al-2^|S0F|y_TWr`
zRqY`ydK*z157<o!`P45Qbf)3oQykXyhn|oCIJz_0MZXg#gxPdvS+<J>D&X&0_zr!E
zzSLf)gxy)siOU7o3dZO~J6~k6aN&hARd{4*(mP&*bbWPWYEn?tnkwP3f32LE3AcT{
z&boeVwBNlsWx)A{r3k<2{<p91k7(}*0Fy;v^=X<UB-Jm2_{DYR(Vt4=oJikVG@F~;
z_A@0;e(j}74HqX$F3!d8N+Q*o;pJ!R9)1T;4v!<mVOiOA0Tb;^!?0D1{DXsrnD~>?
zi*@}+C9glsV1`_VQHvV-=@%Xuu4x;Qls#W{TwC|W3qBzJAXu)n)%IeA-!95f9^|EE
zTp;B*;<mbiPNhSxd>-heF*cM`z#aRCC9C3D@!86VL!-Ov?XZVFeDgxNPH9AfeJtnt
zJz)0o{oH6-yWW22_M69e2ve>BH<g$mZh`dX^vL;3U8(iulfuOra*)eu1QT-3@jn`+
z2644<1!2TxeqNqFBODKZX{F=O_400Kg-JsS8%`)@!Z$K$ZEbDNNpvZr%+dQM?l%|@
zROYBhr$V`)CSBbg)UEl)B4nj~t;Z2Kl|sz_ZwJZlx|Z@FacK6=z^vit8r1{Rg{+_(
zC%6$>|CL$emF!N*tCeIsX9Q%X<6!A^d025Tm=jUW_gt)n>q@E<rE|5T#Byo1CwMck
zL~owsWN<W(SIi(ZAG`LLDXyzFbD@}DQ7)jUfaiF01fQhN-=ns?R!`<{B2mkM_luT`
zI#9>#m{_clb=(oK(>4>^Jo!*ffH?(0b$9xD+({>*e_ZR2!##!fO+SVd%A9ExU24l=
z6PnM4I>o8OKWJE)+-D?KqMcxVuiC+7n^s0m%PL&l=ZkJVYa71L{IpZtGS>cL_2BY+
z&PI?N_|J28{}_~<<pe8=Y*<(Xi){`v7sjSbN(_}A`8Sn!h2DH_r%zP*E)<N=txcbI
z5&53P5m@(7UEbK49OOP2=dNT)6huOQg;+kU`Kk%yV%A}fo!}E2luV>{rSFMLjjb)5
z(DIkXm28`oS(vhTeVC^6#$2yn*X7>Ez`$dU#@Tzp&9iWnYt@u}-p@h%eFko>?ucqK
z{4aQ=@$IOua>SBrB=VrYTk4&vVm8)0T>Ww>lS+O~da)(nY#!%ed#*PG<M0D~l9%ZF
zAuZ!DKR@%SstxO(JB>6YDc%agc*rk*FQCCMVCrimUBM>4@x~Zn)eBR!1xysSx3^WI
zt&Mm}ay+BKO5?!n!Q21y65IZk*X7~*kahxRzE%UBGfpUuE`^Y;n&mf4L;{#no2r}$
zw2TkFWG3b+x#Kv3{kO-^{=es8e8|UH_zlW$>2|*LYg^^x$qF45R{>cTo40js`sJa)
zTaeR9B$=X_TsmFffSc^o-)qs7;qLSelIw@`l2X4QJrIi20VQ(A*3Vk9a>u5JdqKWn
zeEIgJD(Lq0bzsX+p9I~a#c2!~DCZz<ZQAc(b?6a`;bR*F6f+3)$D{JY_#_I1s^!&w
zm9<^|fScC3^2l_lb@B<hwb{0DlXl39?6E<LJAYY|X+InBPsQx|N6^Vs`JPY3C_HOo
zkiCjHQEKe!HCqu`e?T(vkFz}8a-Jb@b)Py*OOW4nV5&1U&A)%2f^U6C2-I|6qV8Ye
z(e{_mX3puG<z{xfCt2Injw@LbrvQt{;>5(ATYjZ!uapbFnwwKw1lG3(RLRg22DE%v
zS+r{A8@@F^-bbRG^lVK^;Mt~+t?dao!<T<BP0b^&d}wk*POZ!yZ8+%hQsh3C{TrX4
zEN`%1W$x;T^>U{DU^dsE%J=-#fiW-|;i3}gQKR=MKFr1A$hvI{(%VhMpse%8!;w=m
zJ2M$SoRat{SX~~~HaE`{DWG@J`!t~FA<e?!cyIH&XP^}Ilxer>at_R;z^;!ngT&Id
z%kbg6Z1!~8@{i2o|4c&$m=h}#Y_U^XjQ0v*THPxi@Tti-Mhzt+bH7`V7*|0RHf{VY
zGi@Rjb{`~8G3qLT1}0jYo12osXusgVz`%MV+rGA8-n~vdN>JElqc->RJkzTE=c^S;
z_)F=#S7#L8NPYgBzW(^X>8r>s_WtK?C=_+Ie_FNp@yTgT`giKJ`U1e)&Tnh!m1Lgh
z6z?IAuPR;gZ-Z{@eHt}gwC*J;(Iv|AJZ2>I8Q-YP+HbtEq=5ZC3A3xB7DRBnEMp?X
z$EPx6_2%kK_Tpda&=Bn!n+uUKT_0c%c$`|p^I~n-*tKqU@KF<OT(`b}xa>&zNrOv6
z&XGM&#*ncdhjTCX8Pok&-1a(~)2&bTdXe%;rA{qBw9L!*5Oatl8}zsUCjhoVrVAGk
zcYwE!U$FpJlY%bGm!wF~)p7_q_?2FZU@0(tP?#u^s@Sr&kEcm_fD1xN$%2(4m;XK8
zyB|?I`w2Qc{i!HLU9IiR#r01rw%!n!^cG77<=U^WMkYdvR+#_AT~7*d%HFz3KOs=E
z;p#7}s~U@yH)tLn7M%w<iAs*ed%jFCg0Z85YP&&s?SEY|9K@6Ge{p%~Wet>Hq81RN
zT7O9Y*3R7xp@O{CJm@dN#XPAbbz>)>bemCx#BSo-qcQ=f_Gd@CFR_z|SEEVzs-a2u
z$7{SwM*mRlx?Cm2a}a`rmXnwzitkX8-qwmIKSLU`jhZIUzHk|dv5tMO36B~Th$$7m
z`IA*X7#_DL+*#r>+^aVVCjZRH?Df=7lzY%PAX>I<65BhfwbU|xat9Ih6c-M~)HRPf
z_8B@1%f)1H#)m<LY>&22A1`hDPu5A8yaWAlQ~^Auc?KB(|K3l>J1Cf53h~=nL?r4F
zsetZ=`_V39(x)ZJ&FziebdgG8@X5hitECYu9Uk$rhyPWo=RkBcKoh1sI6OS0L6<3S
zMX8QY@<8wkq6_Tb$g$z$eIR}iPYKpwO$uiQ7*TiYOZPr%>QL+H;e?|7fFzNycDoGg
zn~G{2R1F`1V`J(8LKdi%Fa|SXG_k_0AZ9#k<)eGg!SyTFoAF3tJs0LkN^G9gVvOGX
z37lsv32O+1OvzMB`*|U6wWgXFZqmJee5%&{`CU5^NpbPN@5WslE3f+KT%`lg-Kq__
z9v8iF`QI+U3(H~axYdN%9C*v_Kd9=g_o920ROdK$W+pf=DE)4=Ozd@q?8W;FiaTKx
ziUb0QC=*bPB#Sj=ADZU^lbNz)t+_ol)Ph0Z<%XS2Bu3>232M)H>j^9F#4kvxBzyVQ
zlwY!j1PGKnVhO`R(ZB7uG=i>51b3TfXMsfTA5V_X?rMVEGiFMZdwgc+=I<jy^JUb{
z@@=!)nx0+aK_;Dd;RgN}P;%4Ypp0A@t<kZX-d0=?ZsXnD;j|bbwyhzAQr17sN0MA+
zDoXj4Ywn9w%<7H^=FDvOKs?2-6vX^GeJ|E$XBa(Q^m*Xdp3rE4P&Ma-`ZWAvRp&5e
z=tJhcD3w=<vtB+~8u3zLpFy>L61y#kjv!O(wr(>OH=Dx=X>op^dfZW=L;Uel2M~V0
zPQMc9slRKp`P7IfHk8ybBYt_9lB*|$nOb^3NeD4W7xm}Ru*9q6_!nJsB^`dJKSE!9
zB(>1tcpbXv(vn{I=PWHuuQxp`&UZ&Qg$?B9=XU{1Wa4~bVW7=BO;Yg2kVl9Zpohoy
z7S3V-vPYc@DQ@RiPQ#zWnPm?)6rG={{K^;#bn$;?_o^z#Ng{!@q_ws6Sh{L*>)Jeh
zUr{7`#Kpx$^u;Ni?jVqy(NgScG;?N)*9ug%wUKO^OT)t68B@qh6Y~dDb_8-D5L77F
zg}y=N8TZ(?PI1vEUU;SxysnH*z>BqAAhOXLld&dllo51}=?8&A1@1N@g+v(>0sX*W
z@+xXgyuoz|a7_c0n%9$aPWtKI4SN*I@_#)jzyEw~mh}VsE?x9nm!TDjwf#+Oz8M33
zgNjLT6`GJmr3Y5K(+w%Ds6584Ha5r;NN{N&GP&h-y+0G{-^f4?>Dujpseb|mbD1S3
zo)wPC=Fr%CdX*g=niLIKXK=*3o!c!?eB_MAr}<3)i`lporeIaWm;WnIs0bpq+U&H2
zshp+eUmrDcO<nD21z%IF9c0*fBQLzk@eR;(CrXtf3`hrLkdYJNZvmV2)c!3EX9z^>
zeEEhJM=&83qo6Lj*_0pHYB;RXZ@Iv48zTE{G0o=4g&4oiTu)bUY|WTXD->5sGi|Wg
zzMFQJ;`+}@WgjQaoR|4UUbHxbp>33o{5Sh$<uX}x=yT-)0#@O7(;Fc-{wPOxgBs{~
z9xF#JbTUQiDtPE2;te^j3bV&3zHPj)>boaz1=&A|aM9bC4iMPt?pNr{ddsjVW>~BL
z#3+4B<KWd>$gI_r`KHHTwfm`+rdLdY6W3bK(JaF{h3(tE5s-@snt2qmH(ARS1GMXU
zdL=>+o$Esx8d|kCE({oBNtsXo6=3&VDXwmA9pDN*Y6mbifWxsL>;)8H`Sz`>k|G)n
z1Q}gpYmexw6%;|4Tp)j#JwVZ_PwuJV!?etST>q<~8H(RW()fym&|+J$8HpDJ!kzOb
z``1G^Trr|YXz)jbxvMmzD>RLvzsVb;pNC#MXtaN#cpTJ@bO}+pCp3Bi*!UCsjWLNY
zFE@+M@~29?@W62&x8B$AWY%6rSd7RpCAu`22gC0Mh++%v#L+a`DO=vv5U`8$)f)EK
zZ#^9mKa}ccWbk*osKZOXSCL#P!OW(KG=4=S#xmN(ec-5SrzewJEr{=95>mdE>}HQ6
zC)_WbjO_sKG<*wF9|FefIEFSh4bp~VVw-1RN-q#RN2UyUJ-^)~xy5ZKvp?)H>&6?6
z4mM&zZ~mrqC+DM$?Ta3%4fHK^`bxd0PyU7U!I67mgK+6<VP@wgMcREE8`4^GZdi{M
z@P2vYrKkT*XwmB-_}FX-ZB&|8s?SDDMHNJZ-z~q%=L#LuN<G3Xrkj#d=h(mgEk_F_
zEqZZ54q<z!Fg1Aoj3|<Ac5q+MX1m##11?1E`ypVNB49WBX2xZwSD_A{CN7=uv5``7
z7#WDR0&FSkA<-@0kiOlDSIA-$_Y>++Gps&BMg>x2BnqvYFmOCMOpvvs)&8Z+f{QC>
zHmmsVXO+d`+z*i_;Wd0z<KS*err8l6YWlEQu>UWfk<2yHfV{tZjaB(hObiS_EKB(@
z(c;et`O(Oy5o!mM4p_{j7<^{QR^`T{DQ64~SOeQ16y9#T5{(Otj)ve;Dvj3?1_0Hu
z)Jf<IILC)-g5`3x(CcD}sGEk*u<VhzgR<z~2NJfvzP^nE3kt+bXYEb=62#$m3O@zW
zIi8h|_&7jvajYNz?6!n%FN^1yTKkpueUv3uGTLsQ`Yq_9#*uWd-gqWq=+pbxuNroJ
zaF!3%BwM&eUtqf|7l?HJdgvc*qg-t|+-zkZFlLXyO2<tW@^}xn)t)pU1s|i!wx+Gy
z@-mfvmZkEz4A7WwVVQatu2_V>Y7f?a9`G=F0e6=PzH+f`Tz4#l#V(%sn$h*I!|V@w
zRfcA7Evfqw)}lr9@|R5V@@<W&Yz4s=V@PaVUmM30@*p<Vnfu8)F=WYTK?7lsct8##
zWB*$9(q2HU5<9++q*fI=<CA{Op~9yyKGIzDH_uHUGj2n@t&pIA2@z#CvIPY<O%HYg
za{o#pFQEZ6#+YtJN`x`0yNz$CE19pV?q8&8ccs{lcsz%qG>SZ>xRc(%4-xLatU<I7
z*YR~#w}nku0|QGU9JfDb=IsbL0)fOly7Srd(C@T)-*S1ls=ad{|4-!G#2{s7FEn9s
z_-svGsB?2JouSZGhFkOxxK=_Y&`R#uQm^fSUqh!<G}5|+OnzwPmBHd%3{ix93ft`5
zf(x&A%TWzqcC%1lft-_ym_|fqNJEy{8PXQWfeX6Y*@?RQd`u2vUyVCz7#m#`uLs(g
z^1bf=uM_~A(aU@d8mW)N2JbQz2_qxS$%1>#Zw?N2cPr6;vOOjNd7sIOBVONEju`)y
z^I?%B0Pi?(RGg)|yC?%d`Fx<S(KIvLIFmJtZ;0qvE6VL~Z=&=KN|rhI)dE!{U@i+y
zVPh}9B7>{N=E;dWjvCiUSR}$o6$VK3YYD@y!Wx@+m;&=MnkM2`;^4*}P30j6le`r_
zr1t3(DH^VCe{1N!*26TeGl#P@p4~2jUx7v@X`KwI@8c>~OJ|oc1qqJ5{RE0GcwuJt
z52JS@aEIQV(JFZKDLL@?!nnB=DnjYgvU^>ssu5KCBSjO7{e06#gN@Ry5zn~E3-C)u
zH<1R)N6o;#fyDb8`KdZ6ug|A<5dtaALV4ZLzH(vs3pYpu?h-m5rQMvI6i$L;l+o+%
z^@}N9`L+nNVJG&)yW~9~D18E}I+`(UrK7FCZlotP@X_j(_HM#8O_Ywl;}4d9y0nXX
zl9ixYZ*48DmsdN_^RpB1W=pc3y?sRnYEBNANd3;ss0DqkI0nqta&&ec;KGghxd98r
zl1|PjC8a7c4oHWZ!N1ef`({_th-TWeO>Do{XXoh$15%1G&o<)<Kq^}+HO<?I_1Com
z$z|(D{$dm#z1T)0)LbEuGpW&6CGT{o?|-<6FQfqd24fsGCyyy4rum017cBqRdz2Ry
zu_^-JcU#E#e+vSc2Op^ty90U9cqI^!UBg0EYw$kCLfTv_zwM{~ube`+0^}EDXgy>>
zhuVFVGj(81Wr!%B(>P*Ha#GFPLy9pjf|)wj-u<#S#@$AQI?E$yg{Y8kYNr&q>AOuT
z#82x8LEvKq7kO#s95O^&Go{%6+f{z$y9(M@y9cE+I&8&OuRrR?dZ3vd(h`i#>4)a(
za>jT|;-JGfWBOtSpD^yie;g!0@5xy3tbT*d%^t)2utZ&WKOBo*Q0bUuUzAHre~Eab
zS#?x8e&f94HXO@Ara0x!gf#h=uI8Ce!$W?gH6$VZ<<t9a{yRY(3&7~%2{)g9{R#j-
zwKMH9DPk+}B3l;Z8`efMy^XfLE0te`*#5)r;QP%iHa!}nIg$K%q^r^C&u}R7j6IW_
z>CCQ)CnG(pYTJcxP<Je2+DnIIU_QZ=4k0>NtW4Vsr@KwO8BH~!C0Pkb;QgyV2BBAR
zL^L!QQ1=4vuZm}0Ms-j!Td?ZmfYm@9&DzVkFZduvPVKK^7UBR3M^~LCl2uhucLNh9
zkwi!(>WBn*3AJ-hEtEXOFGpfSEcggk>oN2fdH4=esJb7|v;?G?sZ*`0x#YxhxI4*k
zL8OIh&ku%n0mvwzc|t_$7Q8APgZmMRQy|J@T?bF=PN08~`g_L#+zWg|mzM6MK$Xs5
z0Fm|C&;)o*T#LRRAaYAV=kDBq&#l$F&>DQbc*P!q3mkPKi{O)UK)!fA$(K3QTsc4;
zArAs&7h?FPi`<#nO>=GY1SqK_KB_9eO5vSFLkaP{iXlM>$`MSRFxmO76aTBL6OX3W
zrUA6r*1Gk}{LE-(c26_HXiGNH^nGg-e)ZA0PE9+LbyoA;#pSUGa^Zf{dwDLXZo~ZU
zin~*qP!wTNhn+FMBa6_kc+U4%^jS||MRCRC3eTou!aZ|LX<9z>D;RUW21g?izZ^7m
zFh@t_m9Nct#?~xNo)miP+Gg#ZB0oN~ut=BZl5~cMoSNoKwfXLKE2aEIYpovqxfhra
z9WT7NlJi}ZBSw)@F+hqC6c<)AWyyvU{ahT}HRpYB-rSZo3liLsRG(BioBZ>!QsaAn
zG?xL-cnldmX1@UAs?sLPX4X`GQ5Pi@2Po9*exqRC=OuOimJNDS(056WFNeIL4g;#f
zg7^_h_ms)Y40eHtA4Zq@8X#y<Z1+cl?92Rg(-8LVfUY|Fn?B^t>uE_~U88T9Hgfcj
z`;%AE9XOCrtdzvdX>6SH@w*S-HtCRXD{u^0M%R2<4CMOu6*lUR2tGqXfQ%VHN4L4T
za}=G+>u$(g#{;Q=LYa;soi*j{PeeOR{(D)UlmS7Z#uYR9hYVCe00@{Ww(xuz!3o00
z4?Q2m5RE;)lNke2HXh#twb?t4Ni3x;8W0eCmygove-uu8A3E+`!H_ATJN0P#(Tn@k
zv~F4o;b}EU7honG?C)AgJxQ1rUNZ&Ycz;Z~n;O`?_O2LGPt*u{uJO`0q}up}YwLK(
z!MY3haJq&>q4O(K)Q14E&C?udgCgV~icd_@Y&v~%l*AuZi8qJ}p>=6-_q=3W$ePHd
zTBk+nQ#B=`rA*|D;vRmvx!HU#3w30`?>Z}a=uxy~qnnq%9>!^!kKH9AJ6IOvaSU?T
zyIw`WdV%-f(Shv{R%btz>Ap|BjPqt}t(WblHm9{t)^sxmXvw<b@0K@G&sgC3(e-yX
z0uvy97lrdXnQzF!S@UBf(I%xMi)3WFpl+?mTR*LQv&ZDN*f#^>Jom3QJ1+)&_G<f&
z3T@y%@Ql4BZHDhe-G&djHhd%}yphe7RGYteEhKjKuvi9qdg*&(5uMDhCz;wCuXYi&
zy0yxzpr&wBE!RclQkoO^BS0JO_WqvJp;D{SL5mBbs-v$ipGMSid_I#gvQqgDnFO)-
z?awoR(7;~xo?rL5MsGJOd^?-{6cBurYC_cC-@mjo%Utp=N6HH9hG)SU%@(>QzLW!f
z5B%P*|M$ZiXsG*Lonm`GQ1!bTWhmAeT{Dppjy;wZyH~tJckt8x*Uw}jOR~nwMJKGj
zdU}b2!=ER#D#FW`)bQnLF>-)*?Ev?`yP0I`90}g$@{(y7e(g+Fq5rz7zxbcxZvsx-
zqMt~g(#h4%h?66TWKPjIA#szO)n6AW>+fj=KK)em2C(KzZ@ul_!quFMmk?9bwzz_z
zoSSJMSTfAi#^EJ5t?gQ}!Stn#F-mp_^d7Ra=X8-^RjXz+3_t$sORpGqeKE#KV_?*d
zMqCu#dgv`(1)dC`VO%M>8AWM2F)8I2a{^U&2mM9nV+=k>FQn$i^w?7Fi+CJR9}D?9
z3?h}A!3x%R?)_E-R_ujuUwh$VImy6?LwEm~oVl(!j~ri|mWIshZ+cLI*|mgd`ZX>u
zaL{?Lm6>0Buz#RB_E~LV`D{Q-MaK6>)q-R#)k_(dd%HWpDjp!YR56MxF4iT4qzZiu
zrpq#$1zg`>*1(_|zUO^bJ*8|4g5Mvi3WAoOH$IDLK>O*4Ny+F0JbN{=-MDH65)XX~
zY4td^T9x@x3hNSFr*p1XrI$bn?8?gbNI`Z3o%tE47O<kY$M8I-w&beC>DlcHq?r`y
zfBoIS|Mhpb-&j6W&0<dc+c7wKXqG}R;^c9I`Al8{#lH?iKUoX84ukTep->N`gU}G6
zRHfISlQ4JR^^=Is_kxUxve)~sp8nwJYudWM+AJ(Kn=tY1`MW{NWJ)duA7A>bWY1td
zsY+_x4BjAr<DK10==keb_E1`dZw|BTH{V}H8qD@y*w=?px?u4QXquj;mU6H$hcb6S
zMTtJUP!3%s&gfY;GjNhwm$A!UT1n9RhxL~Y#R%mrrVUvmOsAt%-J};|r895-aYo#s
z@AxY#Jql5h&KyS`BFAwYp!eYtxLtDKLN>?xhCmkgmlZEBy_(eaKyrk2g#r0h<{?e9
zShY?NNCF)}Zo$D0;<Coo_Azc_vC&MWAq~}w7m9qse5@o!?L<c=Z~S7qYll31pxp4$
zAuOcOKd%g~HR$m2b%V<Hep;3Ha<0<tG*K&^ot+Jg#|OUB^yIaCFpU56&_8E4wiG`A
z6TbuQQ+1rTs~~#N>6;2VnF_Dy_i^?h$FASL@`x77#QO?{yQZ4q+OZf#?w@OYJ)s3;
zBhjqkx(<@L02;X}C=XyJhiImR1e_<)84Bq?eHyAVH9pAhVFnSWzis2Jw>ApNb_#9y
z?}o;>eoGT3do{{U{5s>-$2*O95VxMfL}5R0K<s{Baata_*STHn@fbpU+e;D&NXVE^
zmOtPePb<Xk5B%a8aG$G?I-oh5@;4J21<9$qyV3iG{dtn9@sZ4*@uIE2DHXt#pFA$3
z1;$UtwC#^@%W7-??Wp;9CqpE)zymD;koI#gz5l1Sw~nfE?cPQgh=588(j_P%NO!9X
z6cpHifV4<=H!Kj8RFDvrltxlXX^|3<?(ST4H)pc<e&6qR#yI1g^T+qC;U6jw&w8Hw
zp7)&Byk^CCh~7QE#DzPzDYt?nj@LM@_$c6~G}g<is`e3UjjMumZX--mO0k|vcWs%~
zG|fAV@$5@-^(#hh`ko)35BqF9AF~n5Nwe40o4wPfrfkL-8Tl~Tjy3=hKjom@LH7P|
z>pG6%r05$SGg4ip-!>gH@fi1&zu1Tk;y*w@mCsZ6?<A5{tPu<wNWGT}zY1++B?_po
z81Hc8agyCI9lUD1xS7qf?c5cjDHKD%(*A>})Z6F19CNGzOVyZ-Ei(a3&{fRbrWNa;
zG>qHbvpv%7_?gMHi1MU0RjhhX|GI`w2*os@BJ-(RvoW23igo~xX4{FRIdV`ey#0J=
zyM}V|H4*fzdh-p!6Ov+{F2~{fdtMV#qM}D(bZ%fo^^O09)IR8o&ROTmo8txaS25hf
zv@jTjIlt3cSv!}ORT4_YeW3he;#leAb@)4+049&XB)B4SgEu!Bk9jGWub`c#*ARZb
z1q05py?LcQtL~@D4I(=F3k5Y)10^PSo)YxLGo>FnUIz`U5HV6*LgPJ1`ZX!~r6k#t
zo@>2o(A;%&V1nw8shZj{wA{5m^pDU`pI@+50yUd0V7ih=zgs4&M`3|A7@W|o)Qygt
zp3XL-Vq`G<JQCqI<B!wg*ij-zYbw5%^2{Wi^RdJywYMG>Kk`dB<;T`VRk-UY5$}?J
z%&1ulI<COzNQA6=@^2l3k;{I<q|oIu;974$04>Hx;=0|Z7?>C&e)RZNGqeRG&XSeC
z*7Z&OWB9D(28hEZ-&_3RuYZ)Trit36*kv?~w<+^<a)Rl;=RcTg%v~35=AO+oxGDUg
zJi>dKsQA7k!t}XQX<5GqORR8)u0Z-19PH%TUqOiHs;C0Q6??w#XK^|M-fQIxWT7%S
zeK7lhSa-m>Yy@Zy!V^t^wQ(>0yDj1!Be{Np3fpzIiQ<)~?*|C9^2iKxp}R#_;JPHX
z?}rKD*?3!PYnV@1Q1gp9l7}GPzyCQN2N?(67a=fn&T4|IVKWsDg7qoB!UXk1X=!>~
z%ex*;AH&ylp9=I}l?e3ua7!o*(ZNIM%OpebPJLsj+DP0b(9p+Ih{&(;+Y0{ZT!s6(
zf8&y-7IeRx#w$*)$jFgf@)XCzGX2Qh_7#0cA&3=A)K9K1Rx49ZVtk8Mg8}j2d5}Cc
zqcj%s79(Sp<;*b+(QkQ6h5Xt4Uf-{ktNUVlq*nueP?Q=f3wc=5$g`0T^)T8!`2NeS
zjF$IF^Qp_&N3ECaB8;nHRjtMt&-J82-rsD02X3X<<jWbwo@tZ3dCI=nTmE{tqLWh%
zp2f_Sxp<s=zcyffwejQokL-e-KrUa59|jDMnFVhq1<n7cSfqZm#xnL`pa551PXIUa
z2M_nvl!>tWw~k6(Jwtf<q4$Ez@H2>+=>4m;TK%~3)<?^WG#T>Hu~0JsOgBCx#x7SV
z_BioV-Aq|<x2N$zCoaIrT+TUOuX3!=vFc_`W6NNB7<~`njIUD2z%YS>{O;)*?pRY+
zHn8NB(ZgoAvaqg)G^3FVHLq~L*B=oyEBwc?T3i)btkaKHBf<JZDAVJnx9GL!?%}QK
z*e-%&h)0f#kdN@!amXk(r;5tJH(h*GT5cK9r;w^0;ZKwLOg{W(A*w?{Bt#u8+CoZ1
zgh6Z<#w9+nR!qali%lBAYr=0w=)%-QOuVhaBrWD*AyfS_6@N@(NkY7%yZb3V6K0-5
zY!0fK)=7f#j=Y-SGr?RHEnK?qFEkg6G?mTm(va<?FWh--CEcnxsYa1zoRp>?HHzC?
z`4vj~eGaB%8=$3rS@h9d{dT#5$cDmJJAOjLOXMSE*5)B`Hw6x)<E?rT_4sd(>=Y*{
zUSOp%grt}`@;+j~veVrsJikyrwW0VM7eL-v6ERUPy)4}BT3qL8!cD>P;c@dzn~qt^
zetgV`Xrfnt>_^G<N5f{m=c5()PFyO-*7t?dcj2%sFK3f1p<AuAK5mEd%9Zdqp@q#}
zPvYqG2~$06qF_{!?{ltxCI}rdKJ^W#t_tV##PVG3eDjd=!IMaAVx136yqH=n*;)Li
zkEC&xGzK)}#`v*`y&jUj&%eV*<tF9sxG^iP&0%TC8qzSOM|zNA{)?zow4HT7GR=L;
z<sqe`y{e>mTdeH0I@wG6W>VN3dNq7h1c6YBBSfEsL1F#IB6cKjY)L%fu3GAw{)!vd
zn%+Er#wOXZO{g@GAALV)_y>pDh_$I2e~!+T_RGyt5d+uU)!2|lPpA$5G}HUQG?-eL
znupW>*0mBqxR2k#UOgXUDuNOdr=nV7_-;rCd9YswrYz$6FBxGfe1hQE3^`s$q3K}W
z`#}u2f)9y;M4!|;7a#k#%l|2aj#1X48|C>U7A1n@A3?+XmrLoV$1z+vIQYl|le&-B
zlO)lv_dure(R8%5r}=Z5H<2{Wsi=e5uH`!aDrE##e7%v%PGy(fVnWglC?|Ib#wBKn
ziW~oN1CzW}mJNpL2`}{8%xoGImyxuayd@$HRFR*>Yc@P@F~2H}M?^`4VYnz-HD<ru
zl=evwJ2Fi#H#RTX^|9obBm(i0t6z>!U(FwmKHZ9pf4+9~(R7B_#w}x9WmZi615kgQ
z5(A!Y6_O$%LpnH`dFn+&D_b6?2Px0e6;lz!!j{oCHna`Sx>B+I;mqj^qJE(YQMFoK
zeT7fh$F2$!d)f~y81<WbOS1PAUXdt&)Z67Ub&S#-fVty7lbclG&B~;W_VKrZ`(t_L
z-N!R-Pp!=v$7XcUv8B_zm4#3Q?<cG}HmPbIzdxHx6%shhyd(%YHlNS5Tk>CE#{Dfh
zl>6BTotsZt<$y)W-u`~A;P-ZLR$u(<vlyRtJz}#Rs{n^}c-2Ks4V)G>sC}8};-W>o
z;ZaJ=MTZa`*IAwMi<Zu0u@0K`Mn+QCU*^MNz3t?on|?>?dQpdJGln59@$g+!(~(uz
zF}(t3hi+x?Ph(o=>TdRyXx`1?_o+CHcYNn3;aW+1kfP3?kW=+nG7iAn)Q9N$Q&v1I
z2FL?(h|nl0cg%6FHpBejjM*PN8x_jY5@$1FfJgl8hFI7P-p|g@%@ld+IgoP0fZNUQ
z?G%%%qSvd>`JTj#sU#v(V@^G3fa=}jz|%cT13U{EnN)9$H(EBW&8?c-XZ7z%BYCg|
zDs`TYDxb`3m+8G~e6blAu2g{5Vk;@<fFesIGI1dxKAtr_BxTU*gPZ!CB-L9A!?2mE
z(~UpA%D%V^5x$f3iDIIXl4myyi+Sej{Bh2Y&&ctowSxR`iFF^GyP!DRJI)C6fcB|5
zUIBzz5bz%@;`1bEaLEZZu{Le2$=f7Rfd7|h*aPGno|{-HQ5oD6jWhOcM{aEto^vIq
zZFC2_9=iQ@#f0cI6TIocaz{@P=8OGtuRvEg>z=QeN{vW$#?M6cIPvDZ&0xLmDR!?6
z9aiRlt1t6IdKbSNXO%Olgh*RKrW#Fbu^E`R2W4T?Su=vabFb0j+?%}CkaEKv@k3-^
zoC~ks^zB@9f78bd^Jo>A*?QF{ZoD=PpY+D#?qQ0VtGNQ=XvR!@hU=KUzgPCEQ+oHg
zt_|3iPrmu4(9QC^HL})q9fp3JVgQRT-ciyYzs-$TYkKo2ibV-_UM##rz?X3{2y-#7
z9>@?{dV1SZ8Lw?kaM5x7gu{CH1)87>FK?J(vpsXv6=Lf%N|~;8XH2iaB`2*I<Cku?
zvFds-5I34%O@;Mq#wcW}iph-^p2-gW6Q7IOT_`g@gw`+C=4a`JuWlKX*~pxqa0MnV
zh=h^IM4&4)W2|lU?~+~16JW%?$4%w`k#Frkxd3m$&DJ0{)Ezj@^f}6Oo$xNZ!IfrI
zrkFThQ${Zm$!;8zUGBJ|R$_naP53l7QPYMjU{n#I#AaDTeKtose$xAIWK+dExR^~`
z_eVa|2uWcQ-;lvTsGY91{#2`f_wASCEq00&UNhWVsj>n!I}h*fKfMw3^>?3Wfy6`J
zdf%7N`4^EYzq2tOd^DycR#S6Ep%RTL5mm>BhtwUbn9?-OFxkERgYIHY9}JCgC_g!z
z*`^GNOw^-(Cw;zm@DpP?o}QlmJbwZE-dDKN+;p;H%}Q_tx$l}7Z%en)UuQ!R5ZAWa
zI_FTWC!|m`lrnK4c~(+M9X{?T!LhXc0)~cQqFQmOWBPnc0CT5rzy6bt!GZ2jk`F#`
z!Wt9ekqw)9(>%j~n>a=hFa^nvi034eJ{qb*1J37X>*pxRr1h2f`~kGWH`fbRbAo~|
zK`|7%RJE5AO+VN7Ox&MpUO=vGmj$Y+$+6XQgN}z5^7&}gPS-=fOVedaPe|g4l;zFe
z9JW0)MNFJU6w5O1=-P9y&AyN2R7Dcu7CHA_Gnx(7PW8oY9X9(}s7~k062W9uT5!o1
zMrd%f(n)yi<R~doUwUm4aBzNh&`mDOaPplMa#L#D1&p?xZ_7EruqJd-&b8|eKA!KB
zF{+rqT~>&^1wsBI85&|pIDlEJOSf<k#+p=yk{|z&%-*)UG|6zX(o%kHLp{d6y`;a^
z!|iP4#<=*nb%_>KE=&|%naD6T@XtLgRoD`cz61#}Ci`{!?)O>?&$NsFyMVS)HzYcY
zh6WsI7iNVUME1SUwUds$Bee?#j{9YgK%paxKeaW9OsxEw7#|mG5)LaGqCD$sZnl4e
zTVuGjj85ut4d%hEw<|h4FZr-{b~->larW|47q-4A)z<dz-0=7OxP?Qj1j|YC;KNMq
zd+LI#((PVrVmjP*mvQ<16)lTg6p(mV5bYfuKD$dx6$a?})|Txi9Zqyus?X85DbU^A
z6wotl%8vEbpwT*v-{tzynqgktpM7V*Tn#gH=0LMo2yrFEl`aYT9u-`6GyF5t93FMc
zePJgB+YBM`S#Swm=ss#D<RPl_74s40diHW=(wMEiy)u7j02L;iQL`&*b7PvNd1J9F
z6-b+P)$cVT{L4eN!4wEa$;x)ach+ICJSL8jgUT*3yBdG~<yLZ~YNzZDhAnZ{Yke&6
zNE>Z!7vhJlFA%K$2=)2HS3ydq$=;ej&S?oDs$NiAh1#!I#bmAdvw<Xa>%6*a$+h~n
z*$~=0;1WxiUzheP@UfamCtqLTX+qI7*PiWE{WTsfK%>LvCKWkq&ot$B9s65lkL7X`
zF80d>AeY+GuWBG3Ovh`esabf%jH55Gbj6bnj5Vvk4@JAFa$Ccz)r~K{)z<ph+w**S
zB3b40o-|v1*#0~7@Mfd2a>oMnWKL46(!lcFuzGv?2}XV1k~>@7na2KjZx*ThInaEQ
zn`=R>2>-w;Af9JFbneKPiF~K7ts=RN&YPlX>JIMWRO1BwdhP%kDo&H=655i9rQ@?K
zS@{DlLAEF>g*FeFd9@CwP_xZ;G&f#ZSy^p`X8r$Qn~hHo<=CK36)`DP>pp$_Y(N_8
zK4dEA6s(nL<<-7pH0{`ifCXZ*nox;pg8yppkBA?X)qCC0bY;z?PfLDi$%#U2wZY_5
zA=f1ig!JO4PMn(!31Y55mukOZOGh0VbU9Qjvh!oL#<Jj}&BoBLk6%~#=u$8?J?r6*
zcMR*@-9@|Zr$w)idPbr%ecCMYdiWFa3x_{5Ry|{TNUBG4x)T-ZyENx;*fO(p=dP4n
zafMc2m{FL2w?Ua~9RrkgGRrZhdsPseTMx*^W_(i2taWop<dYQCx{i>3lp*`EmkJTB
zqR?Y?beK1QPRV7C=lMVxW_~G%0mCMe6p`<KkQ2B7UQZIDc8PS6(h<oow-v(5!i&6V
zinpP-=$ImlQV|Xb#ts@N7fNao_d!EKrFPr~u(lJi|FzG=!>fBOEy3%@?uk;B5f^n!
zKqVw?`g<#sjX2Y=;MFToiy)+t6Z?NJ|ALpP>B2fH`h06(Kaf_p?+G;m(Q&hG3687~
z{&>^O=5y|67s)B!9)fW(RlI+Q5YomJIAdFfW3)bnx!D=mx^`oDT5EA!Yh@sQ+U(mq
zt6SnpoIS%|n-GX-{qb*E-*={_O%jdzZ0YiB)SdHQ+F$i;D>6B<I}9(Y7)d@J=eLh{
zBAKLRKpbeT{%{gi=;6oi;hlF-9_<w!aLSqKe+#VV^T@Qs1)e4dK`E1JjtSp)`i^Os
zT@i7gXaRdrA(E#-my4ry>)2<C#bBqsuT3VEF1qCA3k1!kv;%pzm@Y|phQY!Tr)TZ8
zxjTtm;|5BDW0kJw&t7jfedJfj$sYFNQzjjX^lUvU`mg!mlA#EIWU2gY3%-|LJ<@Aj
zb`7pzi{zH#yywGa#7AD8<1L&(l*@pElk6Jf5$OJc>S7#3&HDP<n&il2o5=dEhcYQ;
z?0YJqyiIXMiHExFjxBC9SFtAJuY`$RGVQzqtqX;Pg~h}!A+Ru|87*Q15Y+b(-A%q2
zdCrk0IestZN#)$DbGKCb0uW!-u@K2d8k*iwy<#;J_Gv2eY;%vg7*G4V){0IykdP1L
z?&0CF-crJ}(N%TuBE~WRi$cys*vOa(fvLf-psLnq_5P_AldtrxpU%o3O8nZA#^Nm*
z9;EH|)Lfc)s5_9vp?-TtL-RT#0`iM|)B8=aRDQXP2e$9d*9A?wULSijwg@ds1Fc56
zn@DAnqoD<LiI#cZdY%-HZ)F~&5Y<oFsd5@<_9sRDR|qwA22O3e0-xY+wvC>t#cu=7
z1wNCb75Fc~%DUQ;8~T-Fvc9DcTB(SW(aVjDwLZFv{n@JqQq$U}F*EM1ej%b0!`T==
z_D_WpM@|Qn^0TP~w+Hcm^xU$2vgnp*M3^zes6oquD?I;R5K9^t(Il-G_rrim-z1%p
z@!@C2>qfGlZ{H`C=?JLS)zN{TsDyOmX6Z^Fc01?`-rUsSo-k0z`yPlf^GO9SIXl}}
z9mDtLbP$uih0L}*^^ZauaYWNcSsfFRJ-;@S<8?#6)HQMT`%UV`s+OwM4#H8m#)dAK
zTyf6zXSr-YGo0icn*_KexKOmW&$sliZODHCwb}Om1HS^g0`;Q(tx|5|l_~#u63vjx
zrl)EpUyi?Wpp}~bH5VLcoLjFBltQbUXEwFDXlk}w3<EkTW~GaYKQaHF`y4GuVKmHs
z6&rDS!HYzu!FYIG-OD<2qb+?V2npEQr_NmO>Id0K<1+(r@oy4S^6HQMey1M5w}Z9r
z<{;*v8~kKLP)JGy#t5%(Y}jpog_-w7LnHJ_icuM>Kl-wBEv<vL<ZlT0h_~raSk@99
zuiq`IdRo&9!&ivwRtH@veRQH@5eWY0nnLl8*S#jMU>-?cUY3izNK57Yl$+zA_TD_b
z|80Kpl4w{fC4wkc%{-Q|>TEV2Z%e6PDe$<uH=Xy&b*{tea56|~+FzeYx^>?E{hrO$
z8;L3oGrFlOc5O4lHuu#ncQ;px$fpj4!=QDz&y+6s&ISLb*1});qEzSrbBp$Q?=&tM
zC7QaE*zqkQ-+W^YNmNkaBK2G!AF>l3eUstS^HJXiRU@lz!b<V#x~o>5UdOi1;b9s-
z7UCm2$<=vz<{^_yqR`wY*I`cN<k8l<BH<nFmn2yClu6^aVaj<MMLBp<t>JXK1<Pry
z3O{0At27ZI9{jQJj_O}PJFq*P<<l3G@WxZVz1f_M7X2lgDAxMES@VmK^Xc<9l;7J|
z6%U%~TxuuI!?@D&(Qrd3H7-li3G-?;`)!dRn85&1I9}Eg&S>>CS6%0*B`<}0+KLTU
zzg6y872;LC#~VO5zUZ<kBi{5RdqLC%XoaPv)>D}*+$5*9>&9)lg=i5?RZ_Lv6o&RR
zmNp@Z&bCM8LYu&*<x1VAp1hcr4T;E7wSaVe&JMx#P*aOdXiQ#ke>o$ZxZo||WfMEa
zmX3JNO+nNZ7gT$;@@HL4+u)giEai2T(ImB~6?1)|x}mSD>LulR>JhEoAvIn+NZ-!6
zw<$3l1z-7P<9H1Y@%3iH2Lk=;Cbzb_%}$LH53gVPDIb^16PY|a$(<`85kKdimqd+K
zCbp@jW-A9##ZIY?-#BstxTELg^_<(H*2VP(>^n_0UiPCB!omk(cY-s_*CuMui<H((
z)wWr4NH4u)B`)ESXt`}@o@#1*3Cnlbz)DL{Da5Mv7m6#kDEGNSM$xA!FZWCIs6mSo
zqAvS*#Y{dLg4)VMo!AT+<wpf!4@r=@*9N{8y6|B+_!U0!zkr1Cj;j<*PcGWBt>>q~
z@eBWTR(QdP!5<%DL2sBWog^N=BYN-4pb&liyUEt2MFcku0Te9Q3F~l>L6&7^)ULnG
z>7jeS83KVE3`;0wNn`RZa9{eo+hYFnWBZ*{d?&`k-zYck4Qk_<Lig(tR}e%L&;P3D
z$_O9Nf<T)t{~hJDH<TqtBP6(gSsLO>)M2G`IhE(@wrkZKAMI__RXrkoT>J&^c1VBr
z&{l)B2BUBNb0T4!(=~_zxQ5>lmXbP$sn{_kXMJt=#k>gL@rmPA-;evt4)a;Wu+^=>
z?Ni@vnLeEu<HopDna=e<axYzSz0@(5Yzm0n7hHe+gs9s2YvnVJu<-CC#nxj%xk!#y
zSFKbm;x{IUEX|^&xJ+urfVn;uw%h5^Diy4VAE2I&R10gZ{#m4c{dWwwdbO4N>-0J?
z%i3$Zx2sXE>zX8<5PUJUy!hmBv>NNVUfo`HdDn-H!T8~EK((S>*9J;xCvuCWqczPe
zL`%%?G6B8wXeY@vJ)iz=Uaw)@4n!IOzu#D#er!n>7J+F|vG{W3vF`a))t@`Yxco1l
zFIJ{73%(hvzem&jE%Ci&<Ky}O6z;n|WT@8TfV(X^?co8ZFviruVT)D@)x$3r$?Dsx
z;~76@bL^b%@}SJ&&tD-qg$8){>u8vnIQ6V9k4|Qy@vwBB9x4;P63x1be@ClV;E_vh
zi&v(^1I~BdJ*`1_2=Vii?KtNHz{py8f=q-o&A~Hne5_$&0tjwdgl_}lYr8}qR$%0|
z{PTOU16SjC|FD&9&w@VxPiU0`&Go2qtOgRi(>ZUDwfSU?63}kFicmpW;(T|h)D^F>
za%BuFcBjI4-%vnh6;%EUwQ~{{?ZDR&9|UbPzdhWwxXwo@s_$7667k~sn<b|c`|J$#
z^k%Lw9oD&9ulqUgr!)Z!x5yGNk+AA0)U3N+PG6*351Gf%SIg_PLR%vDaPfXE@Gm35
z&GYp1oX`ye7J>Li0CAV&UH!fzdv)*9U;2w!$1iK?-9oj*@Wk?og3>nq-6I9Gcw?Ss
z;Tyj7uc*$=iQV+#vm?MjkU}{Z1HS@z#E^pw`lyJ*)Ah`3Tju5@bv4ii_*ZzL)I31!
zEh|k_qgGV?^#M5wvxi6>T(v{qJoYSLPM&iQdRes}mMKym+{xRWKX#>ovf}A74$J?f
z8p3+v8d|x!YFM6*R~J<^sqk3)-n>lU{<CWHCp54*D@t_HhZ&`oES~4+qR{sdn79Zk
zOiV09*d))@`i(|%{a!8hbV2j&>FMds)bRI@C%gm@osWW5=(Y@Q?TN0DM<K744s4>T
zCe#Cn*xrpgBDt;xXZ0+ttgoMc&!0Hk32wcqYL(}n%of>XYG>(V3EgrlUE8I+Rr4^U
zFO|})Id0pjc?&;gx_QUi<&x{-W2M63&S#>&2R%a`%4|w@ZJjsuxo@ViGhFUxMbJ|s
zvbaX}Fs82`h$&qJ1|x4B4h=Pzyi#lJB_Q(sYp3Awfs~NvteW}C!EMBWeT4>Ip_3=2
z7acYqZxAWN1MI;&M_dglHtqD{8_>@>$s5(~UOPb_-aJvIs2l?X3NWQerCK{c?xm$Q
zN)J%2g@XTyr4*hOg8Nrr|De5GWx3kZG>%%owvr`%bY#R+F!|IHrWhFU28&Q~Th=F~
zBVY1IALVIR#*x{?J2oGNqgQJUWpwzsk)Z*y)r&F7s9(0%oul~0Xk97fT6ngMvfc7t
z;#Q17;wJ<-Rel$8_?$K#&dZ>jJU{T1!YmyMyqXT^$1PartCgR%waoDa!PC>EF&}D-
zO5~PtQtie0cD}`JA(CSDYUXQt!`+A6Mp{=hhB7YwAR{rP)c2liwnXs%^r&{B$&9h<
z;q6#^iWx&JfEyn3E8p{;X<ho3HhQ=1$H31V7mH+e4hs3QC1Fi{)``%#3gY!A?dRuv
zYZ5Rr_sQge<2<Ux`?>?m6*=iw??bP@RwMeRHdOffPFKE4L`4oq(DApVtLoWmL|R&v
zx+l_IE)gmHDNcF!lP&5n{YGzPv0g=T-o(0(E64olj}fQoxv;aSBIm4V%e#sFf)>w2
znncHTrh`A8?VdZbhEa0ssts8ojRkt>eJG;7=a2n*TvuOP+jF`1iz<Fn5a;J-UfDt2
zMt|vwmK`UlsH%=^_hBQFU*aGT()6U{<gSf3G<y5{nQz}dJVinEf6-8}P)f-jJ0xaJ
z{&<P1J+C*+TotX=?z{Yy=T5dvrd~o4B?(DXY%J9t`|#b-Cf{l6B@vri##CMvNzn<r
z{!FDuZ-U<nq~G$;#h0ws)E}D-7ocv)wA=_$D+nv+6}o*}2AQjFX<(4tv-Ct!anGZA
z`0m`5D_2&1{?hTRn#j23hJVB?L*<R~mc|q<sc89N)QjGc|IGHh3mtock;L_m%5pcP
z_bApX1+Op`ETg%uG!hw&=`V6G(^iGFOp(iC@h*1A$m&_~*%Jk?&xb<f_=1hYpL=k4
zvs=f$wWyJKrVg$B-lS0QsNbycqv&E6mC0Pp|N80Ax3@2Sy`GY1DO+YM1T&*2Yy$>z
zrpxVyr!^FqRTUM(1Q$2m6ca?9v!~ugE_OFos2v{j5lr(YWS=1=ax4fLinmEIPAT!l
z5eUQ)V}jy`j~@q<2i`O{G?0>!H8nH{C$vv~)+<nwlQXvu6XN7ti=BNbW~o??H?_S{
z;Y*<=qa6J#H3hqO8zU+^WO;w!&?~zq>4m`jvnMDuS|R>cGyeJcd2Edr8l<;5IrDo~
zvr0e4-)s0B<soA#6uVsgw!$|nMYI|frx;vBv7;cL(rCuNc%#VOw<TuTUh{^&UP`rI
zLt0N}$ju&7!>3Mc8H0Q&st+n$tAiBPWRQKq&7beIiMh#O3i`{Gd^9o|D-T~LEom_>
zL9<7`P-4dJ#>{Rr;*EQwV9!JD91_o}<jg+Kn_kCw{#_O&b0@bV7u(0$I&WmPU%jdz
zH&?uGBRH}%t3eR8T8X6{#oAuD9hke2Yn{ZC)Zw~0-53ynT`*wDO<^Ud{o=)og9K7(
zDQW24j__>_Y<$tu+PV!wF}<u+G%#G{t)mm)_=4y7*3j)f!7E-jj5i+3`-?KOu`n|?
zP1&uAsgtFuQtx^sbtOI*&}@+67l6#5TemMhx?6M0wC_KC(wudm6?f_W9JNDHG(wMy
zg(;ixqMz-GdQ{!>pl?fst4;SdV`SCj$dncOZ?@QrCbZj>t>=hK+>$)Cvetc@B9=-~
zrEl9cqgKoKf}ct)yx2wYsm!;Ll}p%o8*Y)hoEmwx>hxJ}OByq8iQoq`Js<qEE$7L#
z$jQ2!%_(9f=jR*LlNI#H+q=5|$H2fqXwdZ@);89DX0>(OWA7~i0f9`VBmykV-Nfp;
zy20O;J>A{K)bze*{@8RNM<1wHW#&HMsgm9n5`uYsK7T1&Y=?||#&!z1$-rD7$}G}s
zQ?@Wa?@_I1EiWbfKCfpfGBUEeyIV`=aRK@XvnmQzlft^tp0NEP!PUcyu6Bahkc2p=
z&!TAPPss9LvAndwa&mH@kY9X*C4<qwA6nnX#LREHt*EKdCyJPo_OUaDFfxW@H$7(1
z>$Tj*hNK-`<8)4jmoeQ!2QtX(*RL0kSC*FU&C12KZrAAP6I0FaQa)9V*CS5gm+Dgx
zHMTV#nw>QwR#xj<*bctQP!U6Z?dczs8n~Xj^V)#bT7UnJUmN4GFZt54>*3Eu)LFT_
z+8#>(^r=oJtGpOFIf9dre*+d`u@>IOz`(%DYNauh{QTQmLfyOg`1r`k6xNU-tM<0G
z-9xWBq4c5Ey;A+l1I}cjbHCXOpqx!Tr%z8^voB3Bq}_~{+Brlwvk84-xP@(EY8oh^
zPvrGF4tfqyy**Y;+`H4AwoIzrmYq$`_PdQv*zR-BQnaJR8|^PeuU&g(lRm~i^{@Nv
zyuQ_^a5Z1_@z7B8pWbUnwNi#$7`5%_K6d%SAuFphnSi|_ml$YetEQ%9GcJRCs)jT_
z4D*#{_)AZ3&1qdxQOvSL$jskkvysI;S5U+Fa4jU{+vetGRT#l3&OfR{z`yR@`}gl7
zBBop_FTIpDJEo!{IaKT4+TI3!9XNmuxAGvYh5~^mjRoV3%*?WHqS6)?+3+(6G&*8!
z^+g?;o124YZ6z39^KO6YHJ7)j{cD=6E|xHlvBk8}&RxvnI8yn?rzP!#@%Vyqeb$}F
zaaB#%1njd1U+h{$jg5<AgzDd=dS@*dS3(cBo$e0RXE~B~%epho!>XR%$UF+A_g<25
z)i(#LaXxXZ4Zf<7PSsLXt$(|-C}lQ@0lU?;<TQMB!&_cmT^)}1{ri5cbKUAQK+3hW
zwA77%7x?z~2UT19<%^s$X;ceoJd4n$Cz_g?j1H4OH=mWcy~)1wVkfjQ=Z*ZIx8dQC
zWtLpoZKERW%9&qLQ8AtqqJeCnVjrNOBJ9^^Rc$=qEq7Fve!Cm2n0XB~M@&zjG)L)D
zG5?@ZnLZ|SxmaGBoP?xjS`_o`+qZDc<m{)$Dw|$dX5|iz3?8(VDqXe{`P&*IjyNkJ
z1<O39QlfZ&P=J0Q#txWX&JXOuX519mcodz}Omo=&H~IKfE9LGT)74oC!q{GIu4jGQ
znK^$#T0dtoiV{~UDePqpWEkO7a5Ee{@syXBcXlq(G9^>KRdbIA3yB1a)}GQo<nZE*
zO+uo&@#NA=-=IaOw)s^VB(m$WACI)uy$d~v*b#&N@}EEdfC{)V8#pegnpM-|8!}f;
zMH!fw>eu(fNrtpFGw#SsBQvu@ewBQ=L`(2+(R$URT9S)PNhH~=dc2S?@Ts>n@<#1F
zWZT>7J7Qv$hkVzlR@o6r1#^jw>jGGYz9>Hj00D?2w$+G(_S5_n)=M}9PaZuA3JtY1
zGwU>&w-(fPaB$ex#?DnoL$j8g?Cd`RCgIIYjIyabl9CXWFMm5w4xTB6qq4uFr`7!g
zer=ornBHW_84?`4q;n?CUqM54U_DZLI!#_XSncWR?S1;=<)!uSGhvsnku@|m?YZc|
z_x~{F1cR2)dc3rI)O+!H3i_f%g8gvBO0aTFPv5%SO;Us>{mx*0PPVY+b!y$cv}dZb
z<m6Z$%HdU&ypihpIwJPd4R5K1urXi4Fm%v=w;#voc<=TtbR?~>_QF>nia#f;Pk|a`
zXJ@aI%&+0BnKp8<c2;?y>!s`b!r0x#x`e6SLl+pq?GJ+(AHFSe?t>zA-=6=HU12p;
z`1|*7riWoPVlGw<LBtQk=@LX7O>9js*6#D;KPHa%?%j)>VGcbz@<sPAZ?mBWteMLV
zq^I8=9v&v>jS~i`ba`JpO_2#bL7nd`_4pjr(_1i=mzNjRo*i{2KM=AWF1DSh;W2F5
zu?e_%){37-y!cf7zaU#chck&w!E;KV-fMxL2t!%?lD@uvt^2kK@h1sSmqj-NgQ+yR
zDCBI(fF3&G&&BULv4=KBMn|VrFNUqro~n}yZGa(!Y^LYjZ>WVht$GeNXJm|EG<S6b
z`NidkF|H8XWGRQ)pdce-V*#ICnS1wM26=5ZlHWah0g>yLC>DPyIw@3Dvjf(}<)1x~
z_LqS6yUR!rn0lCzmUfG{+->tkXzfA2wypR1@x*%9=*4x2MLlJ&Yt<vGWW-S|y<Sm*
zEbH5cUXuE0J(w3i{fvX$#H)gA?ud+xjQKby>I{OqcK_tpm;SW2#z}g6Y&63;FPlJB
zHh2H?z0~l%NgqG5>W@95m!<B-jExh9Ee|Gvr<3$L0A0WGiRMD{AQtK1i%;L(e1J^L
z&3zJQOX$2Z$U{si?q<i8cKPB0X~LjsY*cTSGN{OfZSRdb9D}%0+X+ra!{)Hnw^bLH
zAQn-|qdx$+je4N-7z-Wdes^v{*}lzCp$zgqz0<|MBN(z}>@RUKDv58tQq1%`-5u~b
z+fF(@MG=d*ZyDL!Lk(Z;ZohVDNQj5ny^HG+6%U<+HsCI2eFdm=*59e&lCiO|qDH^o
z`T6<z;}Fg-EEH%KWt0_Ny14lB2+|eqPAIX{8FN>g8L~yPmtilqx3<VQp4kB`hf^}H
zh<|aZuMJ6KLBzGIo_A?3{)zaIl$CUW?cpX;pa1y_!_`jcbqXJ%%m3(SL=fiRRuu>&
z3@W#apCD2Ye_I~}LfQ9k<bm*I{Tq?Nf|36JyUqL8DgFoq<###cy{G@5x8&Y&!K{Xi
zJICQb82v>?PQGu$`}bq~vMw8Qneg7<bs<~iGMh|KPQG^xw)5-=UGSev9zlS?Hq#gN
zN_+9|Ef2yB$<D4$c);aYt^-8^7XT+VK7Mp$i9ss?Wa;OtD~!CTlLK;nuWw~N7&Y_Z
zJ|{D<{C60oPNoRyy*BE`6>$z?AJTj8z)w<xa`kI3#G^WaU_$_S1}-kHvS%Dgs3UXR
z1wY9<l9J<7b~_gj_x-h=m0(=ID~4`z&*>?OEUrz^tn>4@0yb_Gz!L9A^71K?T?3%y
zEa-Xp_`WFZ2w?l)LqgC(7-Q%1==}>V|NpqQZrF5-bOeDjhYLyM5unb-+b`n^*^CP3
zN&YQO<P4+L`{QCRE6<3hC=GY+J&xh{Qcy6E_zK5Yuldf--z$&Auu1+$O8?(?esX=>
zeSua6TJN{CwOQXa87Z|^&3FQk5E!Qi0eJ2wo6QM|rnCNC1y+M!4Zxp-A}y055hkXY
zj5wR4B_*HX>7&$M7RE36`D;s=NsvC^WM!4xVkEDmlqBlBJYrirrX{``Y@-1iSUGWO
z(;hD(BO_x1$%fI?wpHI&^_Q5OA9Z0air?_fhI!&R$9sV3$PCqUpCz+~1OX(yK}H6-
ztHf*^9J#r<Z;ZH)2*aCIb#!vyr>C$2hR{j~3K~G;U(1jrmdjL3_}$vtlg)GccKX+^
zomPUDQte4nweIl!iC@jSQof$&C2$+ur{45VBVf})=z^Wi%FdQN*{Emabzbi6r#b-Z
zXLjDesa^VKVf#zA$H~DaF_Uc2ui2I;CbBoExkS%3;)v1FQD=02-@pKb>Uw*3hD?(r
zj#rAHfeU}+5%QJyg4hIc#LmtR#Ca{4c6WD&_0t#&EeG;DpD&Y0%$6@CR?fv}lX2=C
z%*WZD4fvdDjNp6Ge|Zo>CQaV;<I?iQ*h$f`vYOqz4|*P7O0ZGG#paB>-bXu~bzpzY
z&hggADusCK7NrEOhi@@{`SQiIJ-*zCdpG#e*6}HGlpInIRCnj5G=tsTdySA^GvQKn
zqKe*(n8iZ}f>Z~RDuJYTeL1Ho-F94Is>s>#I=~xt^<1;N88tPi?fEuFUeCRi&dr}c
zf67HM2mi7xs3v>)e22Y5@;En0{On)`cHjD;N>UJa5(MWDk!fGQay#iLlUg^Rcd>Cm
zz%T#1v=1+ZpV=&Rrw0<ydMtm*#3rB_)B>prhFTB`yqTuA*GBkJCvL<;fC#Ysx_rPf
z-iQ8#NSoTzz1q`NTRxLN6d>PV+2}l1zLBsfzPhXmUmDet)>a&N!*^s=(r(f>NXK)v
zr0(7_iTAyK7I2{JN2<P<*TDu~hd7_Z?4#A8@_rf-2PCqvu+T4u|MCq|(x6|U1Bl_3
z=y3>Wzz>8&_L^MpBUqAFuG%Wk{WZwQIorvUs-6yE|CwQyrGy-hy#08`<1|W1^6+H4
zBT2%u^xL;hfG`t>?XCa{Y|7`zR+$a(cY|v_hxgu;x%L@tHreHK8S~}wdhNu*cJ;>3
zYr{pRd2l|+hy&}pyi`?GB7=0Q+;}iy6Yt!)gG>YG=}Tr}#ZpEb^fX`!Z{CJuuM{WP
zHnaKXBhL)%AOSYKd=;B&M%C%w2-pu4SS(0Cv=$uc)6lQ>IX^Q^@^*nmtsA(F3(t}K
zKb|8`r`%y6U-$el>0HF*&&N_GD7XkR3l)6bRf8myBpyzMhge3VWf~T?jg5?~M!#=n
z=j8K#dICpZvleyw)u0|sR1Amab-WD8E_V6Hk2?~?SQy#Z*fezPVG5e0&)Et6*+w9A
zV_@ZfbA;6Ie7O8B<#MMp|HdMmM$z3t!*IB-`1T*Z4|t`|I2gOZYI#L9&kz$|l<!b@
zh*F#es#9D@ofQmRqJgaG;TbyH+SAhP?BqI7E9P~6mkGr;d{bCKF24Y)0Fgdx>s2Mx
zR+RVg-dlR9GuW6bvMNc7*Nz_1suUwC!m#O1d%>!p(dZ9c`gA~UwM;fNAP<+@%eaR>
zlXdpM8~Y7-FLovy#N~gVzDf*d=u2K6K0as=p5`#x<3=vjO~!)iJuPMB2thN!xFoNw
zmddpX$oe`xX#RUI{%_wEUHWt@Uc|Bc{+|Rf4J1fJF}>@`VDe=`N?s)OKn=tHLLYW%
z3n1!dx)sGvnZ|Yv>-(1UAYX&|x|Js=A6eNZH4WVxrRH0+EsTYx9f^|{TlqgksvzN5
z)LNd82p6)B&%J2{ETV_3_71(kc-<SM`wx1-58Kh<J_-i{Fg-oJMdSQ2d3JH}Q{;+^
zr(H?_XeW^bMdB-x4a9edaDyHh8XDTY`d@p7{}iF`zLfp}d5eW5^Dx8K=Xm6QD4y1V
z^`Rn`3&k_v7RSO^AArAoe40EXH13uf^yCxoZKrof$XnIh?P9~{_oJhuUs=aWdRGLI
z-nj9a0Mv!AOek6KuUA({w5~1wqwg81+$QOV%_cAEw-OXt7+YiR0zAylP87C(G5afm
z(E*)TCd)x_`Vg`So;-OI1gkqR=kVokl?%;TkVvQ<YEKY*;QvJl8QDAoUL|n^<c+S6
zS8G!{mFrw1=j^3AzQL~kstL}H?_<G@e-#t*65+`MYW%9~?A8xl19~<qcEZ?%bh&vX
zaY;!&dn-eauv5<mzuTwoy|`I9h5{XGagFm%NTJu^*8Jb{2uuq2>ROd+cEVS$UWIhU
zJwt$c{V}h=(vuL-ORhkFFB1}wZXz1Z5(~9w|LS%PfM4gGE|;J`Tz{T6i&A2IbhMFR
z+_h`h$T^<<rL9eU2r4PbdvE9sB_A&@?;BY|dHLT!-cI<OpZ5E~JE~}E4iTa@{HN*z
zp?|)A9ryDez9Tl3)?*dUd5x+`i!RAr99C<!=f|~i=kouk!%Q}d$Dy5nqXA#Z*J}Sk
zO8@&|-``*HH+s}5CF9b|WtG>`(#qW501JoOj++36w;#P5k^=69v!O@l#W_)qhWFTa
zVFZL)kopqGms9iW^Ls)rrDK(4oLbc$yBBW`Qz>8<u`pi-otAqq-(slvOB~2SYQU(U
zjYG+~$Rg1Bm22A_Qu`j&AT}UvWl`W+EY{*xC%|pF97Gc!36DGihu+H$CRG5IgU9>`
zXt=mx&cU31dS=E`hy?!24Dj&hsI#pPwX7jqMM<YmkboiH6M?bCdz+h`t@Yh*DoZ&P
zF276mSWj;pfLA5BYGG>%YJJd$j6>(U9SlSy2&^~bXJ%&Bb8HiUhX$mwl0S2_YU@K?
zu`^a|-sAV_WVgTvKj856Ou(}LNus!jgv6MYAOtX!;)ORs-@{87h*|jzuZmm|n(!)0
zVRapI)(CBZ3)n+a#!l!-E96HPl6=m7Tq48+zwpJkhK2^GX*;A5jG=?tX?>v5fv0)K
zF*GzZpySw95B=_qTVwVTX4KzDM~}i%0<!|J4F;C>=W2qMyM}Kkn!v-u6OsaN@U<l2
zNi4sda&$^cO8ea8{;@vlaPEt0rirn!CP&Qd>}&+nLpW=$fDPOHM^r~*IrYAShmAw$
z#=yeTY$cePkuh%HObc#ia^335`nQFAS_C5EGbTdR7{EBVz(DOYLN}`I2N#-xVsG4Y
z-JHjum@fB$r*<vM+tTL~yr<8F8%D{gRs0AE0SYlEoeLF=LZNJI@=F(ri;JH#Lp^El
z3ot4IFB*c#_}K2;5p`YDStJ-qa`9CB`L`3?F1BvP;~rRllQER+?p4}&KGU!uJZeEJ
z&{l$RcMmeP^ZFHO+JC=izaeAJ;|7jAt!SUY5}5pUBi`4mJr*S}9Y}=#tmb%)BqBGL
zqjqA#%NB%apj#V`GE1ZgKo-l)`^e&SBEMnHk=T5l@9?`#jg7BQ*-VNK$6P1yvCA^u
zDo%$n5JU!W&N^>zFLaPc{Q2{TtPBMnHH2J|*GWi{JlDzr(>zsIKRfL3A=rC#zAbg$
zb5?yiaefM|fW}H+G=>0WLM!1>oSnT4`~X+ghTq;B4_R4RYinyWuLUYM1sR#wF;jq`
ziA%p^WH3uf>5FA0ou4d#3ej|S-t9_#_~EX02JH&I&?wQcwhRAisnY$-;~yB8up642
zfiBM1D#=c}_{<8`9x6N}T!0g&74ALeJOEV0(w|R!`1tr>Le@dtNx;D^I6o?&6>mF#
z)G=i@xVmRhA8-m!o)4BYH&>^~q|F!O60*Uh2$*B+8P~PZFS@Z`oAkCDNR-U1eFinH
z!?Uxq<Kt=aFcRU&fV~4$?z1*pz7N{1g(Znb*zUR6rHQWLwcoEFKY2nU>a@sSQ01^P
z_zkd*<o>ARFgXv1uY!U?a&5Ql=1xP&B?QCIi(~tEcuf#=X|BQzAZr<%s`B#{D|rS@
zigdr*B`0`VzU^7+)#{vU{SX+o|JNlcz!=1G(B1_6rojwaF&CKUK&)A2qnp{YmW-{3
zyn5{#&|4J_!Z{iRWT3$9AV~3;?z!0Ip4QgZocw%(F{j1Oo1u-2jE#+r$ul5RmXcZ7
z77Rq4q8pTaCQghb);9Xe(YxpYp$V$~JFdm0l@3#~VKkZ=8srt`tHUM38Ng2kgq10a
zOW3a>5JB9Dp!pJ2^z>@}rE~T`(cBkmY-+mDMx@YDdly&@r%ghj(%3jT$s#Ti>O(6l
z(uRkJ0mUjK!HdW$nMlqD66tSiy|tWEpy!|w@kG1GX-Oqd8E<)U>cC5q7+g8<l*SUr
zdz7RSK7OPS<pp03POmg_+->G90KCbA{n~SHV)yMfAxIW`FjHnV<N!G2xpW|?x2d@g
z`eYFxvI~17wzhQ7`KkPqnAAsN^-q^I3|LM;33tbE4_3O`in(^D4iF%Ge*szGo45te
zMNak|#-2<i+nQZ41^uxtu;@-^W$RVj?JGk?&9EA78<XJPg1Uqc80){$c^7SPnK7s+
zn=)-=#*<GMQzPtWkh7rD@Tk|vie(y}bDy-<o;)6W{*dsYHbL8xQ+uoc8svBEV`2*H
z@Q2F=#d^c&-2j*DiR1D8C(M90ub|(R$jzUeoNUfCyYjz;vt`b{*A_3b9a$&wbmVSG
zXlUhB0QFDox3Y#8<X1d^{DkABa!VY9bi)Rn8)A`-MKQip(o9G^P?^*i{NRx?TfzWc
z6<yu2)v^h?3R16+uqOnjL-*=TDi6J!!K=)kT&Q_h8f0df9f<F;W7qVCa(iqYwGV(@
zx6%cK!7`ALUeX5e_Du7HL+f3@FS>GEe0)WXpQe%@1X|GFM>kB_J&6;%Fz_IdsKw;K
z;yTzW09+4{CT+2O!z$L+tatDBNxo{!D$5$Nti%W3Y}g;qpqORDe_gC9EwR!C$Q?XB
zP(!Mamb7<s$Jsc!IN&aYiyWV6`w3eA+=BPhd`D8P<3juI-}2$jsS-pbMlIJ5mzk&N
zZd65xWhzioQhML9KFpp#A5G=zR_=kX+ed}67N`MfV3CkGU8`KTIk&QN%)23HC!VVa
z@B_#%*i!&vB@r6>-hHbs=-ngF_3AQ`E4_Vv=Jdmkf$n7kF4TAdrOedD)EL8G0xxU@
zaXp?mVki1J(^GwYsKA&I|6Eg}H$1=<{0o++<ggD!!>mm^s}m>9^XXRuF{j19Ea9Iv
zN|meSb73g*&aV0ke`4boQ@HrnFD8(kk#fg{Fj_J2k)J9nZyryaqk!<lA*5RwW$Fjb
zb~nsYhOuqgs5?y#;3a5yeZU;hN_Z~kc)_-OE(R2~;w>UCrMR9YJWtZva>ZVkeZBAP
zOUZvr1UJz061NZT>?%o}79T<~vK09LonK37h3%w|Ki@qen+Kn5?P(Y-Syf-vq3YV*
z<-OvPkx6YUS71`?sLB&WJ%p11Jg$LqojBVoGd4CJ_B#ign_fzw!x9fjrtxsOK9JCo
z{^v3heCzZI4L$e9nN3iPW?=5Szs#ZehneOWug7=WK47t^^yJbZcV53xiZA|Fip4^Y
zAwOn54)lVDb-(@T(QaGW8DJ4HpR=l<SDc-FP2+wYM}kQ?xmj6*g~pE;w$`(PNmwj$
zBF@*(&ul%X#Ufm&S?(dbdwOoC<>8l@_hb-^{dJdCDxM7J`PbLTE%*ijinuShq+~B^
z+gA5^=~VjEnemeW*tf1&uQ}fF@CF+MKS@`p%}h%xE~T2dt?-fip4g4r<FR#4%F*EA
zwef2Mv8ADz<u>JiODUi_r{K~PH8r*Oa9l^CKYjXA&3-&kd*(d&w5WB?V>aU9g@G9Z
zB(pjcw}-MN9{OtVVDbCJ`g!>I0ipHj26Tp{8D{F|g4xy;&S<SS=2ljC`Fj1q#UsL3
z7#&ti20|X0n=gSZl8d6Ie!iwZU3^F@9!o&q4kD&)MF6V5xO^_3BXDmvN-01>)$U+p
zN-ak{_!pozh;ja$23T%WxhhEPes;J}GBg7k|5eRO-UEmc)a+NU2mgX2J>j+8Hjj~v
zGyd=U35H}oEVzI|Kr|tAd4ba)-aPaI><Vsk)dhdzRVO+1q4p#l`kPgb35_}RT;r;;
zoB#6(E&&WuNy7Z3)8?sOg_F68ii+o+pv%hO%8C{7Cn4MMY_%MKsZb7EYCU38b2tyW
zlz@`=){DR@h*kLcVXCQJEHx-bOF&?-s!+8IR5?JQk9?+zE-rgXXFDu+zmu4kdCP;h
z?XsGThLk0Mrt!dpK!FKp96COeC#tHdq3nImGgG<GzA-}1-?wJE5m?-zB2#!`8JWfa
zeCnFbx3&itNh5B}w60FeX(9DfSy@>WQm7Msuwp>rgDM0j%N&?`h`kBMSpz9__pJZI
zQ3?G8#C9>|x@M7y^P1AY36$SaL(DZh+jZ2wxypST^4T?1RUN?$LrY{X-3ljAEXifc
zPGDG1f0ksuo&HBd&t@TfIf2Rn@*e*<#~DyvoiD&L!6dO8#4^fsJ|~+5tE&mF<2-R~
zZLYhW4+zci6YHmN$Kv+vY%MG-Si*8rQtpo&0+#CXLNE1XmXN2FnauruUpE<+;oYKo
z6ex9auV5hXGJvI(iCTS6C_a@5z3(b)+D=1EDQNY~5@+PB{;-Y^)v5KS#R$T><YM;O
z{uih+|L~+7#sIBx+eUOOT+4sw1MtduT8VHQEGoE)RV9Wy9@WWpwAt1rm0Y7zfC58*
z0f?j(9sDoK0f)tx6KoDpa{wjjCB582i-G_<iaX5y3P<gv0zC=za%|f?u%;lAU{+0G
zy=aF=gkWR-q16c~xPO@OXQZclqqQf7zZ&?L;=125HZiF=KRfn0>PcDya}3}NQUds?
zV8d;{PX%NqdMpF4auH$5?5UY$yYTDFtVaZmf0G8*8}NQ|aCBVw^9h(NhuuDn{hg^l
zNmA#4AWl#BC!{=f7I$`>!2cy7aqLsmkN|cSNWfSKmn~fHgj}Qb;gX#1--RKBX~YXp
z0etW_sLTGfC|l*l$1@eer}>cl!Oq5}2`V|SY#dD9#dE2s0Fn{`Xt_F47FgYt_n_pi
zgxyrEWvZLU&IQ`03>j8vg%S_nU)oh}n?T|lLfBAQxlSAW-|tmCaQ>u=Rn(l@Vg)WZ
z4W|lM1cKA^!V^a3l#P4jT#zJm7h!;Q2oUWE*QY-KVqSlG|F~Lj{p|F3;eztGIE{MU
z*zk+C;&8vyp8#Zw%e?fvYfndNB~EvGBoaD|IWRLt+1Ycds&tO6zC8mz;bIMT<(VN`
z6nU|is5)>y_qFs@K<O*7IJ$=peo=h%==*%EWup81C$h@@M<(FJGWt{gCnOU(_;-Ng
i|7h6eAOHQw`6bHx72$gIYZ@2-At$4V%)kHK@BadG1|H7<
diff --git a/public/exprs-qc_files/figure-html/unnamed-chunk-16-1.png b/public/exprs-qc_files/figure-html/unnamed-chunk-16-1.png
index 3fd582342bc3d4a181f10f690e4acb70127c0247..6b6403b0d6fd0bbffd377006ada8ba84630e399a 100644
GIT binary patch
delta 148831
zcmb@uXHZmI*EQOJh)NEUGbkuQ5XnijNrE5}BxgYo$vJIAB?mzzBLXTpOU@vOL=h0l
z86;<rd}n*!daJ%4_p7>9cmH@!Kj(CB)>?b5ImZ}t%w4r{DRk}9YZc_pv*_0(ciNg*
zL$!0#f__>XRA;u;QZD`4(=E_@nsb_|XY|WDbl~S<c3z#XTK3?>*s2jPo)9ih1?GS&
z?B*;iUN?_i%huN;UzjPMCwOgM>^+XWa;g*9PGX6-e7`+Ly^w_Z?=rR_|H<$_pHbeT
z6dV6OBPi4i>XQ3^|K865g)8yj#|9BUY{vgS8q?p#BL43qAJGRty#GE@<2`7=`R`*G
z4(BA+e;-@1{^!1MTfet!sGq8u12Hj_td3&I2L}g>M3^53U~P$`P|6a2o@X2$B8SEQ
zuBQdHLSsenUmG@V`{JSeg7N-;9LfJ>f-rv+>i?Lb!XgoB(w?9>sKqqEL?PO|e58+o
z2);zXA*)6fe9o-Xy0pDGY0VymY89i{;FHVB9`5a(+CLIqm?u@EaB_0m-rAxzTMQ?J
z-$bbKQLp^@6ZCE7JDW;|fVA|)oZ~0{>nJ~dB3y|u*-iHvBsJCK$g7$#IY+JeM<u7g
z5KFgsDJ#XLt~ma?Bz#A(!p1dAE0`;nxZiQ;hio!`E5+4wU$@#iv(z&zEG;v{Z^P}Z
zJ2hooTwM0Y+$IL=_5=$CxjGzGRJ!4FY3b8J+5m^lz?$uD@rmPk;abCjG20YTr}@?L
z3C2svD>(rRYQv=M`T6<P_0<TxojRY*$>->byBEK(dlMF|+6~I3_m-8FIe)u=Ldl;$
zV2Ji_G`6&~G_a41z8q>Puc4~%@NHU@w1uGne?`=O@-{c6l3N%GWk#VCp~{Fabujye
zTvej?IG%srS*&@g@SsPaM`HWkBSRXA?4>Aqgt7AUa9MO=XlO`ORFsgAuqywNhKBb>
zBc5S_8|RHGul+R`DoL*_mBCIE{tbeOfd;j$18*K4o{`hqZxdveJFj}T{M(8xep4n%
zIsMAjiMxh};xlBfzl-ed?hdSK-m_3Hx5iNkRvRKK_IW(4c;(6!t6)NuaTuMR<VJQj
zB1Ru^c35!cxtv#?*87B$Vrg}?cHzAjT5Yt#VW!7-uLNr~Cp+7=W>c>FU}+$yx~gh#
zZA{O|sNT5IzpAQ=tDxp4!y{BPGsUF=o9xitESzjN)|<|Z#7~m8XN9FvDC(ov6D*2@
zyV~3qL9LTZ$wAK5?KH%J&1Ttw7g5G52(=!rx2&wJnb}Nwq*Rsj;={x)IW(+>+qlO<
zwq{Pyld&q7lSg7KX-218u~qp-o{OK#M;${sL(sQ;4tFe5e6%Q928|G(ju;-R%1a`0
z37<)$@;`Qu1~fet8n_m6vq}aF)zEv_H;`RZQ*=RJ;%om!Id%twL1KY&Y?Sd$gbx0`
zii(P%;rQfCtfA*M(iYRAU%!6MHrk6Ex6;{>^p*}9j?_EI%C-#FpSrLfev>}sFP>@&
z66?RW9Y#t@S%ib4mWL@WDwRi1wZ2ZkLMf}vq+hz{8)Rv2&Q7eQso65)pct(px!aGm
z8q2M72c0Nv$5?v7gjy$0i!~Zq%|b-4h$mKOHrc>tpP}74VrTCtX1?Hm{b75QtC*Qs
zi8gnIIx*_?&%b}|_3M2lNxR|&IHaYeJ?z)VYtgq{miik@^*ua9Ne6!YiZBi1vw?Ur
z&zo&Ot9#C2a?EXrWq352GvuUx3D!a6)v?sYi~f_Y)ijol>@BtKqKHl2M(38hL^=~S
zs-c39Xz%$%rPIO-Vkrf*+k}tX*^G~m5Blw!Hv)fI=J!&iQf|zV+m2Q3RxZ3(IxQ(L
zccV^!Wwu~1a#KKniaTr6wqLGFQ_$4DJ2*;G-Ep?viAs}#lG4<i0oC9hcr0agnSw&&
zyyg1t>eUywGMZ#n(8>t;Y@w#ILa~yH=oB^z^<;%=V{B|};_z4b^yc5ku?A({2V18Z
zow#<~lpT}u@%t-+_xo<$k3Mf`=Hjwz=ewOqicb^J*q^0N*er6|884W)MDXH`j52%c
z?;3Tk?d|Q7;^LnS%qSE+`RxApPSYag6e$CebNBm}ysRr5g2`u)+);tP=`#4&WBQdO
zDAaknK3s2R5|Q<qZCYB|7;c>{%wuoRaiSS{n-j%Bc9Auj-OAoI&_RaeWps43F<)F%
z6lu5|Ve@PD?{kiG^Yg>2d(QF@=D(dgV9@7%^!V{(Rn^EY3xTtOXF`c1tKHwf%j^=N
z?5WL!&tBb0-A1~_*Waj0i9(n#^4T3|e4IE$_>|}iU4w*srth#*kK}%r@PzWI)7k0C
z#M$Y7AdfBe)iD0ZZ!dHp0Fx7JiN~=kUgyMI3T`mXneWs*lg(2b2Ma0nR(+pe;ZvP1
z8=c*&G#%=U7YNS$^yx~J0)h6z=eoN0LD#vs)TIy)lYiG%O10ZMWA_gh29bs5w;L9=
zTTJ<z`OI}(EA<Tvgy$|OqfiP|vu+|{0VX@UySUiT(X1xa0Rz@uZEbB`T`k%Ks5qO}
z=?p`5vdT$+{Bh*$1h!G#!F*zTeEhXU9{q|R)}>d;g6}5^C40=rpQzRztyQDHJn2Q!
z)Pg8~stoQz{IwU+-|m&_?z*@g7Bqh&o0FUS)*}gQl;0OPz3J(k_te$ZB^WchY2}hg
zTY_4)7WVe`V&1;3(9d_qyMW^JY#kMHEYe<qDCrG(z_Kf$)TBA!ZRn2#ecnOLenm%0
zY$=@0K$@TvvSChBx>4)=F&%mJWhO~jSlDj7(Cnys_c_kJ38~U@nZ>6XX+DP$#QPBW
z1MZ~$3;u2E_HPNApFDXIBy8v6^61?N&UTWIQ?gG9{b|y8o}AZiV-q9F_$MZyNid%M
zDz7Vbm}w0O2`L}<Tvie$tz6EpJ}2Y8H)P4=K8a;87@S#I>2ZK;%~j>6c&$}(Bs>4i
zL=!Gj5S)iBk-u>}CrwUtAt{I;T;8kHKErUkx2~*AXd9mKNBk{u`qJ@nLs_+(=+b^l
z=L-oQKbm$}pRyZ8P_GWGuC6YIlc0=mh38?PLhw4;uRptwe)jCy_Iy_d!z>)_KNF`f
z$yKyVEC|h3kY9RsT|GUJ4=p@A4)#_@I@;UcyH5x2=;MUt-)4RQe^w!~HT-!78H+(U
zO)#33GV~MMEfh-R!U01>LeD~acfy^gZ;PI1Y|U15x^q(8T;Bq0bKdMJk#}*%Ei(8)
zR3o8=CWHNK0G(}|xZ9c?ax~JF2rDie8xv#bh<v}2qm}1aJ;uh!8-_LCASx)7>CM5)
z%F`XJphgkc%%5$7g}N;bYu`^6{PJtXJF6@e$G{Kgg8+(<Nurd=%yRsU%4~+z!dwj@
zd;I*QB+tr7eMHdAJw~GzGC^-^&)O93f%4nA;~Qw!`0&%;(+s{xM5wEgMS?FGCl%rm
zx)#M4nVF@aAcZd%z6$|n;agLP{z&WJt<K^3ik&t3v4`^uY?J~WK%KhB=H{J}m7Pl}
zn~B^CozrCJWbDO~F_9DEOLbTnfoXrv(D{@QTF1`U+?4oh{WuM?&#@U>%U4!x6r*hz
zd!u+B)>m(*bxO!?)u^{SIyvEDA@vLJ>zU}m<;S?&Vq_6g1H(wBH##<9hDKt&;`sRZ
zRsiJl_SRqY?tW}nLZ-i1^$|2@j%!$M2U+(|o)4zHIy40L61aKu^&nu-)*Cqky88N~
zclw7nt;*-^FJ(7yS_G-xo%i@QH#=+o`0*!kIh0@T3mBDTY=@?yA+m-+CH7n6HSCIp
z1%u1GpM^1tAR-6nwwT*Zgg#1veRD`Av?V$=Ha0mqxw{R8l4H2!9(Tb;NYBbD>$6pn
zb|)W!PE1iU0f5(+Q_f<rgETb5TTIcA$GR-cUX;TO;{H5nX#UEg_)tzxt|}e=fFCJK
z$4$y4Jj73tDAenJ(DVNbkp92GSGd#viC+Id;PZdC{fB@39B$upL!r`T`o285mAzcW
z8A23zH+mxxP(Pmob1zN<`*T&{xJeDoXLfe`M<*x57LOm_kH3jK1bo7{rtel>ULFt0
z1^ezUwlMzk5d&>)&JIUUGXMszoW{ni>J*>q>U{My(@h>oG>UM@FekpFetOV;ajLlZ
zW+>7Uy+#ewpX9t2QfxO-Hzp~lKN+AYKy7(GIHdEKn>INVO^hNZh81s1NK7o(6l^8G
z!}nFH`i5#MU!_2pYMG!mcMOey1z+n=S~ge>dctlGC8dtF_q1dA*J$_;xl?i^OfC+)
z?)NK1YZw|vVD5I2vgpM{E_$MGru>NJr`sFb0Lw%&j1~HwDTC2~0uQmz!4pcS3YTMx
z3Syx-$#G+4l?&mpRq*7d3`MhAg%YET&wcO<yvRjyNfQ|+3(fd@Wg+R?bnanajJ=4&
z;d7W!LlJ&p^X_xqvDAmzysl%ZzwoT@rvAwMhKu6!hrRIflNBwg)nO{qO-2eRErb;F
zlR`DkcR>U!E}s|3RLihXaeSCBUb%oxdNDBWuZ2pGzz9sRp~8tTc)LITJzdi4KUl_1
zje)ev+FCg-r!}TJ^VfQG&7}~-qAm-%xlGL7(ALiT<=CSvL#qD%GDX&?0C_MY>MAuH
zW)lwy#@4uIr2C44G2xAl*}^x>7Z@Wsc#1Fs;Ri(I&#b^7pM_KZ<5B{1i#fX|D$f1i
za5@|TEBYU_=;#EDS@2m9ePRntw)EUN*#11fu%JZd`ViKRI+k6ry{D&OqqF#s{$Xbm
zfgHNi*i@rzNA&t=$=24ExsHlk917KZaR9+rHuv!G2r%K+Z*bLEceC^!CzeJG9ejQ3
z2AA)f*}xp^!)go*@|V#XOquV#w+9QDqBYjy<6~n3|94|ho2h?R{@&Ty+1?(4X06Is
zik@{AD=8^ib@i%B2UO{2rupE(YdFzkZy3Vm1n-l}_5xO!oi*MQM^MTNoRcQgB_pfq
z87lYPDButBvDygH{R^(ZYtK(7CC+T3)y!8&Mt)${rsC6bl?in;I}4nPzy8>alTJY6
za&llR#N$E`u`L&umS$3#g!?F?0!*CU+>X4ZWYvNcNX}*S!KfFU#rha%Q4O!*q>8ky
zBm3oFzIa!CdQSH-D~VK*QZ9@#N#F3{!)eFLf4B`rFDa`ANQ^=@3x9<rn4Ik=^>$In
zMs7__4FpF_;@_A9B2I#V?J+SiOObSGzHE%Mqs*+P*rGRwA|jVW7X&Q3(bB-{8$?<}
z?QCpD2TrnV2l_`vs6<Ig5e|Odb;6bTB)z;}uz=1$N;a+(5=)>+)hsO+GW2NEd?e<j
zwQI>qg*ktIGs7}G*{tjC?*4Kf*dR*2prGJJlmfMu!RA*Yt#$NQh4LJ0tr{uqk@4~O
zzff4HfOEj&X#z+uy&_1SW|8`9({D$TVazA;-w7$aaQ+1XM`R%WgG}hJ#bS%Ls_g6{
zZEl8CEEGLPNchNkX+d9IWZ~K+cc*(bpRMNGT``YmEiUI5&BG;)d?hi`D`dfH;TKVp
zZK-~Ee;sW$Rz2Yx)Y2jgUxSE>tmyZmar`#1VGugpl&sM_fth_Y7jFiqafVED;+=<Y
zHX}`@MI;=b8Poh8;j%Vam!kOg;7-gkB>KEm<lpD-MGZ2<W1G#oR?AECVeU+6TV6dX
zpdO)(ry5JHq4of+7)?(kuWJgy4%7e?8jXvKyIm*N9MAUqrqp_%CAO3KB_iTP<RML2
zATIpAzPO}>hcYzobuJ4YP0B<8LPZwcVh0BWj*BI=A~DL0aql@EGpnNrJ+Q*#oEnR#
z=>nk|uLM}XH^nJzt6onOdX^yCiIHYn*<?sQtEO~|PK>FWg^E_TFv}^MDO0se3e+0f
z0i~-lJBRw~2wRw_y}P??$Od*M?9rL!b25Ng0WcTp<}F4b7-=ISxXU6ZGjqdT0tilJ
zNm$?Fj%RHgCmw1B_maC`k0^b_VqXSbKq}`YGoTR0w;=2{yo6--4>_l%aR!*Q6^C86
z#xnMn!6N2+&3r*9k!MT|Zrq^I*eQad&WQNn7x`@l2swIo*OR#Z!y^z7+}wmoHMJ0}
z>1|SoQ`~n!^+8eJh%ml<SiN57HD2QpN_B(i)tx{)8iMmwHw-20#%lmGum5hs9O$T5
z$1rd{LxNJj^`#|UfO4dHIwhasP;7*AUBAxg`G<v7x7O3e$Y_E;0JBxufR12NC5<&!
zz3rHotQw&I8}-LqNa~mR=@72=_IA^v-+ijmJ_J)(VPpn_!1I@umZVO0`rsd9)o$fw
zW!FQZ*D4_UQ*MbXlO;LTPfYyyVSM#4S=>!XP*9dN${Aw2y?KCcgWd1K=Rq+%dRH&p
z^$g++iPd+!NLmY2K%RlV;g14486a>51_nK$Un}nQNdDoA!|eV2nxod3TCe@XlT!?P
z;`4t!VRDm?AU!L~3YgE7Poj=|>8G6GCnJoxNA?qSJ^*Lu$3ZTeX?lSFS5^AtZ4f1o
z?ya2+!y0#f(q|KOC!9^#)Peyfw}gajz3leO2wmzdJ{70|tUsiEtDRCe(_9M@N`)jb
zf+DAe`J9Iop8BBemw{w6WzzCW;@n1;%V9{KN!D`T`+wIzilK3rXVS~dD>(DR2jf4g
z&xBenS;HJ8B_%`B*qb~H?+(0su|G+eEbm$RB=U4|{xBjUVn+^`i6cy=DO4`qx87(i
zo3{i{Kh2ua{A<a_uLOFxkw4jsD=YmjlC?6}D1zPx`0lOLq*e(+I~hWBiNxoqOR%5c
z?vg)Bs}&=py-l_Iw5mP5_YdjGJPs<1t!<re3Ktt|DR;A-KPn6>!^Z#pwW|cp5LGY=
z&!hrjsbA0c?<{E$7gME6heU*h_x~+RFxr1vVrYMyiS2U>0&syfiu$Ah9xUjR%I+3q
zZWpZEOH|a-yJ@-g@KG}@u);$nmVK5=V+2t{zrC3o;#!F7T?s8M5_>P<p^P<H>YHC$
zUfsMKNj>!vQqs&f_<^1G3>|u>UtQJ3)s^Uz56E<tjh#cF*7P@Gg<<Q&;66Wh&BcO>
z2M-wuvj%RNj(fmxRU)+I4*DYRCkZ-XbbHEEKmgQ7u$>C@D}UOS%d<wU`|ej8iM1=J
zz3t$w<|Ydkp^tdS^@!2wHHxim)s@^#NHwG$cZj7;sL{GqH}6+3F#*b$f*D2^8x<vU
z;N+z-GHL6cd@jX;jWxF8UBnMK_`eYttiQj1%IQu9dIz{rvg@!_;E=@U?Chm4eJWl@
ztL4FeV)Sgk_w+Eu+{Tg%8eC4U&uoh45iS0B8gJlQ7>2!A@up)#oZ!EG<ZfF&0%Il2
z5?%Xw<g=?;@tdUM$JYE~OUraTMpSEPe|qr4!<HMqo8LK7YBpQx^pJ8}g9`hpYZ*z!
zz+OP=1B^}@)w3`HvgL?feXYl~Maju4Dns`{1GjL6epIu3%p4GVQnlUBVtSuHw2BH>
z*pQ>~6TKYc2ba4#JL!)(@Apy2P9^DaQxX*7`8g26!q$LNao&LViw(Xkw~E@kxKu~}
zTtyAO!6|zRgp!iTH>mPu-e;>c&S4uNn`)3QzmigHq;b}5G~o-6Iro`GO3GnGE0y`J
z#{Am7;fa$qH-El<Mqj^Mz}x2L=0Mq{C*p`LDjKo@k()8n^7f1Z`_G{vpo`Hw3`FuW
zGFWmGSQzn%i2QwvX;x<DpSHG*18<g@Nejd=njKUV&)RXU7SRR35jo}M!j-jY%olWY
zbRd_caYnfQL7|MCA(N60*_6pM`8c<PT+Vq^a5`~zGSN8FdN10!TXbR6b>vw_itphD
z?nS=o|ENj+@}_%|lWnQ)o0FvglfT|l^%G3ta^%72TeM??vu5mBVr-_ANPH+ZPaG8&
zC+CJ|?PBdEfW0p;!{iKs^z-V~t4(+PK^L8vqZ{_*;c{M{o~%(pX`HDKf`W#3wTc~i
z9WD4|NV&pvQXgdI<`Oiop_pqUa{YvPbc)TtM}yX4-uL-_czF0f5iL2{Kv%cwNiS<g
zpXjIzb{Lr&1>P}&os&J>-%k<RVqGRE@Z6lv#aVttY+AWkgkB|Qpk1_F&qLFt;|^=}
zScI=Tq)$vJF$)`7-NV8Y|936pl%l_CuzWbY%%3Vomd0J7&)Z5(W20Iqcd0F!{oT8F
zCL)rkkG;JV8&@;>Jbvj|5}I+M%m^21ii#YT151&6Nvv3F_9eE+mrsK8+g#CC8l4m=
zWEG>QFQxNMY+8jjPl+gF6=Yvu(2se{?u(-CfDt@ggbNgT{53U!>CvV<AENMnA}_8!
z?av99gVBH-F6!@ol}(`zmjh}EjITWdKxF!(A4<e1wuL|V?tT}0Kwz425R`e2*mjGS
z|Bj2AlpMRXU{2jXNFL4p9S*Y^w+f9)h+KMr2|*lfcDD7SM~|3E_})}8U*L`9x^bgt
z%Kqa*Hsm$Gpdf<gKbWzss1=(9<SMDfi@f5&;$75dN19?4brL=+Mx(<tsvk0Cb`j1I
z@lMWcy2HKrsBaOx2s$UTfw)V+p4A>@L<Nk&t_LWKk;ZBa*QbOdVTvnjYgg0S+wXZh
zHvXO4KYCgwD36^KgpT5u+pI9*HL!eQPW{m;L8nNd^;WV&x27foUq*gbR+hCM+rq~z
zG&&9Ke|wwi<!9yi=)}at_xL!dKX`B+^Xx@(0Yvu^=x`vc78kHu3Pd%4Vd?+G37JSJ
zycdl|2Ye)tO5?<N&rWjT%a<=JyQ}kIbkU8}X4lQ6v}ocapAFyImXk&`*o*pWny=R#
zt$A$E^BC6r)*qSS^KYD-ZV6rJN(B9OpFz(ZwfI(nU1Y)9Kd6m+^oZD3*qN2pU{G4T
z0Z#(9Hd5jlDXU{wKDkWp?Q_SjocdBBgXYo5$VmN;D(Lf=@cHqb0{aq9X+X>0CN*Ea
zA*bh=NZJA#jWgfaGP8Mdv_E+0ngvJQ5dA&kYB8&W9opr3X`Mk=SJw-CU!WfR{n&Lm
zIZwM11kqnCx)Ol>Gz;fvX1f1L4Gem+i!2SylZl{aNEeQ`qmu=inG^57{x}=eGfYD2
zpfl~yyt5v?w6^x^77wFYD)W&|5AAf)H&bqE^8xX_^78V?pYMS2Vng1t_|9&7+DGCN
zd8IEK5sF?5Rr(c_jYgk*8zNPcmzPgQBA4zxA$rAOHz$x^NtU3VwY?6Hm%b6fNBMoX
z%)~vea#;qBk(*m{ywwr-^E8AjpOcF#w8a#_#SSU1^JK$wjuh{$s^xs~#gA`twYbby
zI-!uGF>|(mcFH9FlFG<?Gsuw2m`^8$ChG4H`VIOmwVA9e-lGD+jH*O|aRVY=zIoT`
zqlq};^Dk1g%3n5LdoN0AnSjV`y3-5KV=>oa5YL;(m7@Z0tnliI>9mr`-LBgX6_SwB
zpi{1RTJT-7$ZAV^2PDqB!i0LtK29J%F@3FG!RdO^CNPREP=DUEJy`f(@FisYJpV4K
z>}IqQuTHJ!ZlYbCM>C-?f#e5BEKpiWzH6t7cCGe7Hav}S)*`X#1JXDF{8EO}1eg?Q
zC#hIkSX?#h)c@4_zOhM41>MWs!)wn+`HtOE-cp|f6!cJ8XVHr0ZmRAZG<<FvY81`P
zcU5cWYd+sBA)JrGzD*0D!2H8<RnG$G1y%WpdaV`~7Wbmf*T^_p&AYPfpF2H&%6mm1
zsRd~swObC~&K!xhisHF*C;D#8rNP|JPUXa|7;jytYxH+-az4(s{3?5QaQ8(AR9OiE
zQ}-H>!^I4Yc$}6hy$gFi_{q`UsyxL53yXPBOr5?lxYg|ZRFXd3j11g*O=nkAWceCu
zf9vpguI2$I8y+4eyn+0kO4LjgUP0XV!vP8Ml$MtEKDi|<?AG|m^0z?Slm(joUgwXj
z!Uq0zk^SkGAtlO%uIuFs3)Do3MfSdmii#KOw3_}@L+y^n%xR&U!RUs=dhPzr)=QTz
z1)RQy(&Ww7wThVt69OC%O0QzoPt;rXyazE^bq}dIY2Zj%IjhLad)D(Fk(5eNjhV~M
z&AqhGoiows{9I%vDekKKfPeIDkH^M_G9N_x7D^9S-{p(imU}JrXD!yzqT*HpJjDyk
z%VUEg{&d6)Rb*r=1YuXfSPJS-J+~JCv9oz{H$++6*{!dwojR-gblPRA+5XZ0Quxen
zKrcyI@8dgA^WMI-@6JKWg{qv+eQy`{N^i7%s9_L&E=QJ|XY;pB8BiY8_?wS6J{M4i
z%96w}Z@o?4i0<qXN_R*`p#uFNN$N3^{H{k31LH{B!5!{*=x%~kAwxFw6-dW5g@t@k
z3K~CF4%c+m-YJ;*E~zWd`Ln!{oi$C>O@d7L@ZnA4G<s4+B%1w#|A&iT@l@hCSf{@_
z%TUNV*W)zs(JtYI96Wz)Yc7eln88YMMw!V=Fv4u|ubGR2D8h_VM9XNL7E1ldUR-K?
zW$FBmi?lh4N6Ri7gbb*;T)uqSpZN<2=C^PY5}G9?FWz17XC7X?V`s;DV`6I4{o#1D
zTlLuXyecxbrS_DMZ{zJi`<37oS8=ccDBPHJi)$cg7J*_e%xyZDuB^xRyX@Uq!A91#
z-E|>hn-qRCIXAcRiFG?Ix;u9YRhP8BikK-=n8(JjJn<Ja)zoy^Sg*lks?dWt>US;+
z4OSZuzcz``)mTY@E=IjXa+s7v&uVRDMRSO#Cx*+LWGp{|>JNzWQ1eKV^xA8G$2H--
z-4*348%KS3cxWv(OtmTyJ>d1QKV$h)B$_oC4OG1qqHo^RVbuf6>TE7nn&{Lbg`oAE
zNM|=$A1NcCDI)Yl=dgR9?37%2_I-I54qu7Wqku-KBXz(JE2FDZ+f>TpX$bEPzu?)j
z5nKFMccA*bNOTV35G(%q7YUzfgif}XP6Prph3OOWmwoF~_^*brE=XLL^GsUJ7U2CI
zZ)`c5{fhont1|1#c>j+dBv6%VH0GmLW+(f;aE+5Qvn}aLVBW*8TL-?yNs1<+6h#{5
z-FNcw{H6r^88MUsIHfJ}yKw5K(hY{`yPYl$7CrBM-lh@`btj8=F%6H5?5_-M@ARn}
z`5w$6C(B0s#utfh(1w#m(F#6Hnt2;UZ9&(}cPI7r1l9U#FLlwW*{pLo5q;3$$`T&|
z+kt@=$;;8v(V7|wHHt3Mzau#bD@1quf<(x#+$DK(>Td;-S)+jm68FVihf!kr+)r#c
zr-j<wT1=UO5?Oe0Pbl-ojS`cS@1udM;`PUT==#PJ@S`3H-K>zDesp;3dj_L?!=x{i
znD^mB!>a3uP1*FcY3pyp30qO?0omjr{Dd}<oX!MHt|lnO`ESzyON$5{ggd&sRh(WR
z@g+S{N0~2<9ztQh{&csX+-B%!UmtmBOWCs#*OtqVNO~bN`JQg4FfFN_9S+uauPq!w
zC9qBQf?2!?HQM|SPW8n7(GLlcdy7?!mtKi1^kzn_=&tV*)D#G3FH4XF`PO{eO^+nD
z85^$h@p1y}bNB9x{AHC4sElrf2_RJ55+;Wijjl;eea-rIBgu8i%E_WLj{j2fBfg=P
zk@EF~r}_MY>YY73P-W54)YLpX4?J1l@qkaM(FdN1Wf;`06tDF_ojXsv$P@yUR!(U}
z#owizg8YI4rqSH9DmSmamCE^qr*K=7k|BNG*r7?j(BG@WrORFuM~I<`Notn`s5--%
zj|?C;<)_wP3@mn8{*{wom7SK>1ewmLLRDh(Yocw{_gq=LA1)_Z8Sf9f-RcBfmNXzu
zBqn+tZ+<gEPIjSY+dbI|eB5o+;ak%yd`U(qymImI)PlePC8C=ZbFp<i^Ged2U&$9z
zkkhx<)N{3vr?$3hP&H!m*-_KHU!*utc-uGdqVk{%>-3!^v?{i08I-U>-UoH`Hs;+j
z2rYV|AG%H~w5IlSFH_Kqt=d}5?UtY*2pXhnkl>(#_ULo6#$vo=AHU`2nTq&$r#i8d
zw;>^y%10y}AK{_i^gUQN0Y1BxU%duOEifs>ZNhyfym{ij2E|-)2QOqxqCm5`_IJ&s
zmezxYUeC@DUj2%VV2<~k*RNLr((^ror$5Uf4UxHhQXaC_3H*P?%1q-L64|JrbHR)E
zLi%~{*{pqk9L*ljup1DS7M`8GS#c-HIoV%k+m)JJcDO7LBF*Qr($dRRR2@jM1ULvF
zUu9>vi^e{tA(uB{uQ}NpnK<Zni>4!Tb8(S8JKip+JA?;X=Lz&79uI0wF*l6rTvvxN
zi0Hl78coeJZFTiNpsV-M*SJ!U;~A!jqw#$TS^l%3;o&OyV*T04`i+{6CMd%u-pt0t
zI_c9H=}u|ZL&QdWt{GDleUz&m#jT~MtBa{V?k*2X?~ghe9TL&EVyHQkPV>(sE5Mfl
zmnwK_lHJB>3KKlxue#N3Co_n<vPZI$1&@!9!^h*zNJK-k6xm;I4X3+N^@kOds<Wy4
z_wPgHal*F#WDnycxi%x(Kl1bEPh_jh&bQ=DX@76e7UOtn4Ud#Q{R^%ZsCT*TtT(X$
z06u4NT3UQ}W#KwCHfenFk_C;b%|^24-9DFa4PNSmyP5*icua|}m$1F4&4>b<=NyM@
zgq%8)MKu}O!cfMu1f_U&A3jWGNS|CIt=;{lmjM!kiBM!#cDC5+mp-Jkzz_T^9e&A0
z@{KU7#Z7k#*@ODCqk1)8D{7-o!y9^XA@$g;ZPR4bW-1wd%FV9TA|Jx@>5`nP$C}Pf
zC+&)>NYxjb$>;PeEKgWn?I><B1%m-wYIXGyK)-9(uX_SmT83+BiP873NnkS+^zy5g
zvQO&+rT;b(BSD#^rGj%Dv%{rNMHgJFPhb<$*=MJx&tOh4!1UG9!DC<K(W60dF-673
zQiZngR?bGhEg7n=u6~rS4~qW&g7jHsHs)F)M*cRN<fm0t4d;%BhK3Fn7)=0`7#!R`
z-tNJG31IHuy~yRWKYg0R_-Gc6-y-TN9w)nlBg4b2QEhcTN8`RntJP~&IUhfML}uW5
z0>*aw7Qv9lY3Q|D$^;W|b8`b>{%E}(fg-<ZqEH?(1G=H1`_wDndTB1M<*7g>q3RjT
zw{h_)?YjY#jlUiA$}GP^a)H~R${Fqj!UD0xMnk?qHKbMqz>-#h;i|J3JocH#9Wn7U
z0RdD%D2yROg3ulGi8td_928s@oy8VQ9!{7Nj1p<}-I7(+{w{~@u(`c8UTB>yuC_4I
zH#U|m(MAn!oy>78V>Ck}cd^m&G!>kX?-&RQ0S(L;?;YE(DaG<83s|aXX;G3Mc-J8Y
z)vmR0-auaw8Zm-dxQ)3C2BCelg%Vf)&O{;$$!@fCbm~G7TU)>b_V##Tyw*!qbnb0$
z2vO^6AgBkS*Im7}Gg>Rj7WYfzqPSEk(4fi`b9+fJs!<s5exHkOn(A5Tr3r{q$SkpV
zJZGVM#AA6E{Z+JO8jYT^M}8mUU{R|X7#MtGLXJUsPSn?)0wB5XE)i?wTd9*{WZ#H8
zzp1V&xeIW11WX;UQSh7-ow{LWimbX2S0_zUYHMphefk7zZMgO55U7&~gjh_>esZhI
zdLSE4GjRmOa#IjP=5Jb|ogrQ`&0hy^SxOd?oe&>?Fz&T}WqB#|M%~}H>MA-F_Nk&8
zyPU@m*|aERqdy9dyR!)h^ht=AwT3~ZGYJeNIJ6Uv9X!A>!;0YUMvmXFe4l|b8s=<)
zt#7>k=!8T1K#`rSNH-769@=n6j}6#^z~%a2CjAKs37TL#0AUeHGD&pKEPp(ZtqCNe
zqpNGI#=}WRC*A|}@nsPHbbw~iSSD@42qhsRb;RC~uG*jC1CW%~-quz)WMg{!Z4>1{
z{2zqaAVmA?OLGUk&d9E?urO{T6>i4h>fxZn%S%amgo)}M%+H;Vs4R;AXuZS#WiQex
z`fbbuMU4o`KWGR|`wOm>QRlw<k&=7Vq|e4{MB_W~s`rMUBKy@7K8sJjlbY78rFve^
z)yf$-JYdjLR!sod!h8Mtbf`P1!(=9Rga3>&_crCy_;Z$!tE4~)S^-TNdWDPY>Am+x
zYCH3v<0cB?5^F<Pxw!Tzl#BFMV%GAX*DqCdBiYi=XigZf$9)0spn$Q?*R$iEv*Y!%
z({=E_!DHgUcV|63-LFTsyM*h3Re_Rq^0b4HP6)VCA4_Wwc`q!Bz+^zb1JJH6!NFtr
z?imDx#r>l<a}GaG_9s%f)rku}eQKdUKJH67b-rETZelV8&OYC*Hz@>jh{t(>eF*^V
zMpZWEz*k_S$)dR)<*yjka_p{ai`!2&!10kmV{&1!r!Y7$BzAt>o%q`-oYwmXQ?I~~
zTKD&jc1p}7+SRT+q+>9U?@N+ao6{{5r+ejR2R(??cBcTFS_2y<lB<~Htd3l{%08Cw
z&}dx6d>twNaN%-%Nl0jDmr-_8Q&WCEuThP#aKd`Y{vTyF*6zx?Zk_|!#67?A5_qkQ
zw7<thu`JCOdgN;0q0;Bu$O^kGymor!CxB4n^Hwm=(H2It8^DRdXfkY(5<jJbBd*@>
z%g)IOe$t>V@7D<4ywCR&U5~8<RR8K$a;df>oUc{H3LG1!x72$KwY9Wjj*AVow1ixA
zPj|9t=H|LRwk6<y+wTot<S@UVIN#Y-EXQ_-TWaH1wZ{!9g9!(dVu$K6jPU9AqL>><
z9XUqrIGe$o-4;_g0P_#c6(OUEkb)A3Q6)E&_*&~uR_%zTY$>7I=!?KZ#!-o<F$szV
z&nZ)!Q~%Na2O{@(>1KO&fp=0dNgoO@fmR1VpyT=o^J})+Z}<%FPaqQnB6HKLmdP$L
zI%)O$<6bx_pS<<pl+?OQsGu=ETlKn80BZNpm<Skq-qjg%WT2`i05DMcvB@W=2>N1O
zY*$3oChtqn`^5SWxw)P6(yC~vFJ@*w3CL@Tx2M8Yy2RSz5!IAtZ>3hlF5eNGYbqfw
zQIVMJAlJ5w;;V|VV2in;1SY*=Nd7j%U$TmdiV6xMgP_K!q@+Z}qx<%llin(jwr~eR
zNnLsQBa)Z1RrgVWKmbQ=-8d<r=7<OrG@BNIhYZU|b=CD~WvJw_&K@PYO3eFf@Wsv_
zE{&{mY`Fy-vhy*I!B^l=RX5*cF7UYh?b`|FF5=l)Q>)KONlBr+RZmV1cVV5~i=BS2
z@1Jd_oUy0D+KJ7{KUGsxYiC@UH8ceT0xPXlLA*&8O^h)hPnNW_AT6MtlLZrO4jmpX
zJ*xK{dK@bW+jaR@o?f}_*l48_CS1WBlbpImafDv{F1JfLX!c{=ZN~EkkV`1lK`jnC
z!?@4>7)u>S#F!_3Q9W_AytsJqvmpW(@|c2abuDlp+HjR%<=$KODP%MH7VSmOA1Azv
ziMiQ2i>Op`jVjKYCMVsx`{vxW_vG`xp3g{8TPl;YD>l^yp!gCZPRYM5I)4^^;rn+g
z5M!_=_T6{^BZ^~SfT9_(^zjB*y7X89Qsh82_I>MyF}+Dx<=9#?aam_uTb!_+p`D$b
zt82l;x^Qef5D0ZMBD_en_L=0odAuGEq94t^vO|<Uvth)9x9<1%1=F!HEagZ!cwv01
zhh$DbW&1kg02HpP>ily3fKK~N>Vqc@S!~(+O;dcBiojii(2hB=D(v?`ux4)4!5mUs
zZEO(Bb3lj9%JNt#`o^xPTjzZM#<#f9F5XI&@du}lZvYawwR%UhAay+7T~_dvnW&AO
zm(Bt4e@zb<4m58Z8IpTSN>E8wRh5AWa8t6eHuD`jq|g`AM%%V|p6xyS(G=t%@jfb?
z4mBAnx0iDpq8Fw@1xLW`4>8c&9+0NGQo16$iKYHB4=HZt7@aI(*c39KRR5n=BStEU
z&=bj!bgm<4=SEyAiQ|ptW|zyTtBTPg3sw2TtBX@f&hMTkw4>QZmhHt}jvLDKDU!5V
z%&27WBfgtJU<$Jd!|odaFNFP0M@I)K+`;Lhv(xc02x00P8gI8)0<XV+!&LLly}F(I
z1$pqx&sNtu`e*SOa22C%G4@QvuCB7K?i3cs9h1I+MS-jG>>%ZAsK#R(?0{X9Z`?NT
zr2dHIm5#3&w--s;qN}0VAeo4nHSmKhdUuSJS{+XI9n&zdGs~)hOZU`0o#jtJgP@|i
zX-I~oQdd~k+BwpT3CsaJ5AVEx=R{9gjpe5%^ze-<xW{d4k=<WVoPw2kB)@a}exIkb
z8PU-S@>TiZGaL|zBK4v`KVWjWG7l&|6&7xcKv0J~e%8)a@OyR7q>epq$6Lw>SnaMn
zVJc&7LCZ!tT`F&?W&Q8~^(EIMeEd?0f~hV+eO|N1<LPVapN&sEs7t8L=I^<Hu<Ohk
zg=A)B4OO{tF?b$`v06WS#xNSMj0P*L5F*m5qP9H+E_UOsQ(ax%h^nL7dJwO<@++oq
zAO|p{&`L!w;L?@$$sWIsr}*@;2rtA1xvq_h{^efq9?UnmHCui~)X{g=qLLV#vvCa~
z3s4CXug-otBR(S<g|^k$ZSD6*;^vjn*KAguhDS!rcw<WkMLUGtBHRqEtgf~8;52ZG
zClDv!X8r--GCp3^c<)12ZLQDl(m<rt;gd6S31^J-C^0PX34oxU9fn=lNrpVa61fB>
zP(eMq7i0S2Zz{hLK+lE)+9yOja&E3N8A!yUbESS|W#!$JLww{l<s$=^0XWuU0MoZR
zZrBZf3C7evQnemH`a9^jQD0-)5`y)uD}K9}I|aD@H?kh9jO148nWXx^)1fac-z65@
z3`48c%tVMYx=%hg=Bu#mVcebs(8SVFoSltfYrwCG&j`TJAcW()R=Lo5dH!&u!Xdp<
zd}k7A!By9-a?U#ViBWiZL}tR+>OV|9KPGykZ)9Y|8uf!GVLJHAU}CJf;!cRQ2qUqA
z?9VTt4_A+^xmJV4NmfnyX$^{xhCzq;7~`V`mju{&fN>WL>OFX14|_V{=^mLHCq>n2
z*$B8C0Ogoj>_fQ(Lu;Fv1d)bJ;M@tHukk;e!KwGtH4kNcqqlqly%;4HT}$<MG+Cpb
zJbenW<N(k(xP)t-jg+;v%E_w9NqYM|zl4w9Bfc)d>IoR2i}%mE&$`!1xgy;P_%u{h
z2833}Yma)6Qvp%~=U&+t`>(}WTUuJ?YnJhtybA#@pJhcvAQ2c-M`lW8QIXo<ZsRv7
zF?JfBm=`4^C;J@C#gb#xA4BMQXe3@dlYo*W2p3YMCyT1c%~&~AsE-Lxcngq%L8Y-=
z;$i#u@BELL+?TR4eiay{6yN8jq^n^cx0mt7V@@;X(`L#X(7)v4fK6|v-2EDz0Zjnl
z)I?xSY7Fg)JtO7P0Zxm%uJAdXL@<cMj_)Mo1_u+SDkgn2)Pu?VaNuX7!2Ki+N(+c~
zb4hUSZfF-8!-ll5P7!?i3xuhCVBq@Rn=P=m4VeNtw)Yjsd_G=FDOX%tUe3wOJE<QO
zMvfcbM@r|O&8D|@Ax!;3;JzLzhV^(HB&h}k!a(U`7Sd<G3maFsFtP)2p9lv>25fsM
zsA2>#XunZa?ZIHXPfD?^ru>1;4reF(OkNW80Baz5A9!Qn5U6U)+XtZ10ja2P-<(FX
zI`liOoc;YK9rNy8o^I(<UitVEbS5F+X5g$8z~sQ4khfgL-2sgxN<ycg3J8F5*L_g@
zxC5GBT6y%!{+{@z^ppdU1M*o9K<+GdE0EE%ZP6Ko*aDx`r-0qH_4E>Z7Q6r}!%ik}
zB00t2-{fS;uOg2M3=IqoyG83)iaYXQT2P!T&&c4QKrRUi3f6A5b3uLIz`<b?hU@NZ
z*EGdaj}r$LXHuH22Hb`F0UtR=;zSm}^#c7sV;X0t-D^w9rwr9Nf|?9^`>P|EQALdl
zVWX~Qq!Oi0fJqnv`jb<AH8m5WmzYFYP=G9cie&_}2fQcV2rEN1#TR-Da<!2n>}t~{
zv}5786uMWkf|~f%9jJzkNM+mE?(FY!I=muyp-=OWeRRn=B+03n55Q}H<{EQ2Z^fiP
zpk)x)S;gkwsz0<1jM0GO29v;$s+Drp;*nLj|0wXa2+8*c+Y1=x#if<|#MaiZ&fDWG
z79;r-fGUW*eX|jmR#|xfZ5F!)5CgEj@lbX^D^SAd#mFE>M@J#s(Z6|iJ~^L1&jYoW
zI`*^zB#U`oEmTIMBO{6WeqCRwj{xQS&V&mSNwz^HC7e!}*QoBenOIuC8pJ2ytK~Go
z$=9MLu<HCs9aOTSOX8P~CJ?A5tSuo+!vjZF89ykangcQ&SOe$#XRPxd-roJVET&cY
zPqoE9g>a8gdeMIaA^?Xl&2&<MLG>PN(ka0~eKR8NnyCOfP!Ph0>iIUcF)q7YZk?}m
z0i==NG&Sdv^cd2zed+|?dMNpR`xUTO=5Fc5n#wS0&P(#+PU?fX6(nqrw|>BS*InY9
z$P)FWc3fg>eDXrzy00*gQJpvNU5r!#8*ZYnZ)VpMq~aBj*(59XMvAI|jV*M>JHh6!
zhrkaM90;)Gdyn~N<zqr_YoqDD-6OWut6WA0?T{KuA#OotUt6<H>=FVV4QIy?q=w7L
z<;yt3;KT?07LE^c1hR~prslxlU~GK6j)uk;I68A3vBcVi*5Iv&&1V2%5qcGW{rK^L
z^PY@MWAqgz+lr}x0^i*nd0J~VwO$zO8Ke<u0I{HHtSv45yu~9fUJYV%Zb^3)WQ@o;
z9}$XKH$Qf8`y|C7S2udZrY_5>QMAx|&O|(Ju_>Aj^!scDR`cp3Yu&HsWmTwSUZ~ro
zJya-az4nz8UFMqjZKjcl2t~jq^wpupX})s^^q)xIopfmki#RF<PF;fkShRsd%VmrP
zQ5Y!l({+7Z(z2VLwdzk=C`KxB4#Y8gTlsk>A`;m<7$Lkr1tKq5@XlU>INhezyZ1EP
zH7zY3;QoMs3yy&NeA~X(;iXjrep%`b`T4!J%K`@DSu`As(p;50w{Gi>Vj$nR2jo>7
zJ3HxCpGo7SJHB`dP`9?VvnvQ+S9VWBQxFAeY7%n#vKBig3iE&J*M0xyjrzlf(MVL(
z)b;_!*^Mh@O}@8W_FQ0mEI4=Z9xiFJ#8Wk(%72XTQOX*38E`FmuiY}9{dmn|<8z`d
zZGIuDm9|ye*Y|XkJfnL19GPH==isfMx8`~FejEJK4%=H<Tw7iS{(KvfsEZ`!0Kp5w
zI$27htn(bt0j4!8yDPADSLz_|3?RE?j&tz9Bl!qrDV>;>m*y9Tnj7s^KaLa}I)_?B
zaqD>Ik1Q?5i0>V`LEpwV(;{~X!-a|TU|K5mkB+h-M}$lQag|oA;76cYBJp&}8V5+%
zm;vy)iwR_uKrU`SeohV!4$9Cj>G(1q?GB#eff*BQCyTbQC`7!cZ;*@n{Oa#<&*M8#
zU=sf1$*2-WDj))FU83J^xhup1m-PTLfZj=GI^i5Ex;@NXkHdb^pU>yex%;3ye~Ex6
zH0onVHhqagz)F$1b;QersMl#*P=^`8N^G8*M1K`gExjGlNNAcAR7fw0A}C0u+_1P3
z?O5G0E0clr0bFZ%*+|XB%NxUP)k=?8%JZf2u}+_FneHEPD$J0i|I8r1m*ScIhX1PG
z%eS8@2d>*shXwHmlzuSYS**&>UIN<Db>&w#Ko<-E8IzI03~<M?e1waOi#+)2>Dtx6
zmPT9^OodLwtV)xObs#@TP3ab`i&%1)0`f!lYH{P`npb+k<d*baEjSGuwARpWd{rk#
zKtRB4o#@)dM!t%CBvnCJIC=)->IzgU8^V>HX{93fGOQEK_>o6PKM~BrbMM|gB6<<y
zQ=5{Z(~UsskHYWMHy~gp(3K%s7+M12Rgc0q929vlyP|8gLHX0oqzi1VvdD}5oF6o1
zquGgF*Kb-5?5vSg7z4X`wM<h)a7949?JDVhJ<2$aK?kcI#L-4CT_GW%1ZkVm3jVqD
zZi($qwg`OV+?xdHRaGrN;<L#<{k9Asb?EkhqDm63Y(n;W_9kv~z>sv$IW4}HnB~%T
z))XBnK@N_EKiGekm+{YGBT&k$Q3osnjl&L+Oc4rD#D{9fUm#1?r^g425pzMZ>1s|J
zXR#pE(k>cbJrDczl%ScJ^=`kqijzQ4pQZ55Cn?cKJby^V1#?W_U#@t~(DO!+%j}NT
zd{}zNE}G)fE6{n<dNWO^(>Sa2^G8SZxt|cD<h2@@d{a^p2!x*{A|6*6vqrI7ogPnj
zCF(xZTxSo#d*kWr>wAkf*{S9;jVF7qY`Pe^cEE^fQQ`4)SeCk@xsDLQUFdgyQN?nP
zoea1=bWUWKy$f<+mGhqJ1ejh6^>gT-X?9KKb0{q<`z-#_%mwNvEF}a`U-mog?B}Mw
z(~gTQ#dRyd!_H7i7L)e$24qwBXWU&PJ2<-yont{o$RFzX*_=`|xm%n2>IHx9j=P8p
zroSU}V!Z(Rp{KtFImnG^OeMZcNlA%~6}B0?h?*e@_<=(o5A8^;aa}6CoHVTsC9dKr
z()GXfe|R14EUILvM}Kse7@xr>Cv|8?wtjbctdEolcBd4OMs>_3h`B61Xm>Xlq@$&k
z%C`!8%AKhYq7ufhILWkP<D_tYp(ZVDI>;8&$KGH(U*X1Y-FuS^M}<E*_@bgSw9UNW
z7kc_D7YC0h=%{5j!0GF?yRM0qbyc<55@K(HBp6j8ppkU^{q;+$e!_@qJkJ8T9-uk%
zmB!Lkd7SQdmnfC&W~SFJmN7Op_>>`clZN9M*YE{)UTpG>{C45o%TvLczLvbQ7lc7U
z{4vl>u<QAv@dKDlzRf(pZQS!-W!gXOtMiLz<Nem94r(7?;hTXMz(|ZYzq(pab0F^O
zPV2c=BBJF!g89(UfOlm>(>4hB<^MAitXX%1Tmf~+3x*OXWoS)6y#QmP)?WAc@<f-c
zftz<-m_%Q^;AAFv)w{X``wE#a0Gfvk0g@<`y`vP)VLy*?Cog%;vZz1r)vwx8(TNT1
zJ9=7Ld!P1)%!=aRk>Rf^n#;a9IZJZrO8pb9wJ^elgqT7lfU*%c?h9C5jXdVwvC*7w
zaDS++?fz2{;%uFnm(m@RDi!P*O0Hm52E-ezCyHlZ+NrnQB^V<!@-dgZ=11d=?V|mt
zph;&MP0jno+|WW!@2gaKo4L?u{rLx0Lfgw4=#0)6jm&$WaQxW(kBRu=xI19<0VYU4
zo^^Pft+sQw!jE$-EL!dsm7s;q{Kl1mw$85Z?(u3jyTsup$*Sq&nq@<mE3+S-xv7Q^
zSSRzFwN4p{kzD9M*ndLPKG}OTYDz71e{lB!=j^6?z_KZpGKhlfP|=D{Ntx*Fb@=;&
z{P*sl(HQ`YO{gRQC{=Xh4t$BQ?4ab8DOvze1F@K)Dn3=eZNU2oob~MyJN6><p)I$<
zak2aB>*kXJ{n?c$BELa*r0Aa1mF~(k&IFm^4-Q9A%eW?nsc*0sHo;2={x$D_D>Xt$
z{uZsIy8>$?i+k-j^ozXRZ->nSF+fv2*@)h~M`4>CeIL11PXIzfbB(P8BM0l<U+V7%
z9@k1eNM!1f2P?l7^g@Wxrg2hIQYLT>WMy9uNgK13?yRVQR#k&Bve4qjYbpGcp=vHJ
zp@Ykk-dH^c4GfEQzx_ymy@h6G>Z?S7>7czag7@E{yOO(uC~$_)Y!Ez=J|DDtH1JZU
zzX~FWx=fkLWbYmSVxJl_O818r`aVM$KcsEMmWomU>mP|46qVa*FWsgMPIHfou9nu+
z3|3%rmNuaHZo42vSFY>f<yFny0X3~_!Y|3s$&j2=WM+Nuh~=#~8CJxmyFdw@Wf%{i
zX~|H4$QS6HX1)3HIon(uuY!Y4So<A)#OCQ!voMD1gXF!968SgpxfuR<1^rUo+W36&
z;2*!i$;q4s3HadS8<i!brnGeTAD<lq#Dl~5P*bxM?5s`C?!<l7&|F<UI$Ig@@YWa@
z64_W7eY|E9e<gn9;&bkEB)A%*RGHdeC|+UTTMk$~$|~T|-95>2DbQ8>g4ih;<r(k{
zSNX^2%5Xl!qC%@Nn<(D7U}0o=^T=^<`)Fob<SJHir}^`Rqwh>_1l-m{$rav<jyP4p
zKImC^b4Bqj=fKOqleH~(cqsGkh6HFBvrXnaofpYZPf!2w;X}_S2P-S9bD6LDn(p;v
z+L~Yc_8`5t&7mUqJj*Q<^#mzGo2Jb@zv~H&ZiCD3%yr1FM3~LsuT>O2$EU%LPI+?f
z*26xZ*CdWf+IFS7N~?2%y*O#i``V=$3uzoerlq=pGvO>R<vyKS6vBHh;CjuTCGP?6
z!1!1GB3EUvHn|Y)VOUTOVi(j@(|dAq>TOh&7TAhl@O|awItX{a>8Cu?FGCy*HpIfA
zKd$nRJROk|@BjV#H}!>co)dgf!jbcM-mGwcR9J2wH%9FKQrH%@1RW*Itp_lC+7Kv+
zgP~282+`=Rs=oHa_+h8@gY5(F!*vQOp$(SC8y+Wj+^T=jm*J*GJShEAP<7N$WLi6B
zD@+@n`<2FD4v8+DjCk^LpEg(y+)v#NDbpI77~z46Tl>L-2gbK(4R{B47W-nM;O}#^
zCk4*+7OMK~<n`J4`Ahzjj+J29Il*uSBl?7gP#oiUshli!83no8wsI~eEsa%%1jKk~
zU#S86+xU%m0ZSqlb6^ra;}4`yQoj{CBBnfe#EkmjEdd|Mck}Du)_}K9K*O7FJi8)>
z?m*xAs%tekM8FmWJtYwnr|>}^s0*0G{h8tI0vNO-;r(}`h<EL*N3^JMU|;|W>Pij{
zMZHf}&Kl@dezCkIlS(OoZfjLdCk0luSLtuf^)6SB{g}kZLLuLtx0pT&mnABbWh-XA
z!2DFhjL`5M>9vEj{P-D>lZJz@UJ1(3S0iz!ZEfkQY#;jFgG<<W66sx>H`+QozrGc^
z!1D4(q1CfzF4beD&#haoXZd5lr5>}8Gi@gM{C2p@)vRsuO_g|V-p$K2!RcYG2{iFR
z2{L)Rn)@`%7g=Ow5!sM54KJcX)&g1zV=M||+5Aqa@8&n>78WA=k7Uzjpxow<i+>#|
zeOJ;rJtf{lKRL#KU(C(H+iGKNogj_)PPc&Negy17WzUYF+5Zsa8G@css95R2LnL7;
zg4d^b!`nST6RP(;IRsgiJtqc3kqv7^-n$^h`T1+`rkn#P+vP<*)pr@t#8lajr{Q)!
zP!Ym7KQM2=SQrE4%n6EZU**fe$_#SG2~>&CW|+<@z+L01FHw=QeYm?^0Q~{(FOCo)
zcGpSLds3R3dU|^M8p2*_xta8Yo#UJ{ZTHe|SB<HSGviE&V@GFRNBmJVG{4*plY&~&
zg7;(Qq~83j*5~yRFuX+@PDM))0F2~h!^1h`!%vl^YOaI*$GKroown>kN$zkY!@+f}
ze)?j-)HBXezWhy_Rhr}qB)cpuO>AuThNH`x78KpK_Q1(&tMh3u3ue=E{lfQuprvI|
zq`lK;f)#PKp{EULYwPZAC7)D%42uX;1P>f{$0^7}bwKMu8@qKML@OVV5rN_-yBAHY
zr$~Ca8W<$^E!Lc!9)Zg`_RSlxl*3~0|4EPZ1yuuN&hfHmdf8|4U<=~W{lY0NeFlqr
zf_VkOwK0%pz>z=~jK-+%Z1NEZ`xQhT+!dIjisGBAl2F_P+z1|F<ghOVyfu|DhRa-9
z(8sg}hN&od#)I+wI^Y&=tHUl(afJ*q3a@T?Wa#m!%VOD~94I~$90<%?CqQw5z7bBv
zpO|(s&|;ijU3qoCJOL&ZydXogwlF#{;BvBy3|c;Zd~&=Xjq%%HO@g$(zL3~LBys0E
z)umSyvcdP*$G!0Uf;#!m(d%f%Ja-OERS!XHyqbyJ8z(29MGF=mDJVg&T?)-suGUki
zn{$Swabo*58k77#ti5SCm2LR;y$rEPEJKCN<02KJka3x(%tA6`9x791zKF<N2ubFd
z%tI>k6e@%e8KNjkGSAO(-T&u#ws+g!_v7o!{iU0=uHih7b3cCjevlIN2g-fdr4YMM
zdHZboHghPBfUzjws%TcJi(H+$f_Zo93GN%mRfMn2EVl+j@$P{VgUU)H|M`Gx$G%rI
z^YMSVU%KGaR9L8HGy<ONV!{43z61&znb#nfLTQTSyaS?KwsO?B@38fOJ!Y1KM*6YD
zK_D>iumC^}1GY2>hgf`gwO|bdR#{McFEp-yLfcgksPPtXH2p6>pyEIPb4B1eUp@K-
z%UAuxZ-5PKVEz8_;W>J96U{z?iUqy6E*&3KvI0H{z17dB_f?EW;3WbE@ETHFSct!H
zVFg<FU>iJwYl(g~w);?_(er6-|81uM&E3LdNc-}O0QeOd0rwyz0~*9r0Df&FogsUY
z_wU^URWjgT4?hzVlWz~Kw|hJG?o>2c^WYluD|v3?+%JD7KIJ3M!7Z2RLmG$M$LN}U
z|K#@B#V1oq#6+0d`yY2nA8?GhUV8q)UW{2Jn;WinyOt$o0mU@-b0}_{E0SqetYoAo
z?+jze2iyM21u3-c)U@hLhRi5crrVj8j5ya%KuSrMFH~<9fjf4XSJ0xO_gis~Fc=5l
zTE=7aBF#1SzJgxoBA`KJLC}#u_wd|dFSPP~sSMBEcx^cS?*P6YZ%GmubB=zytIXXU
zy+MwN%r=K$lhvs=e;yn^&nOotjqwK}DPZb%Wj9;Y7BY1gg*MLBPZDFG=?OcR@2qa%
zN9Y>ZzTJ}L7z<X#?}%xKlvCTUDCF_*xW`knbW6H^meonLqd10n&mV^)U}MZw_oi~=
zsu{(M6F%r;iCMbG-``8<8NTwF{wb!*R}2T;#L<h{AmJ{Do(Awc-1qZ5NRnGV&~ih}
z!Cd6Osx10^?DX>w_h5J1!q59y$UUlQY?LvrU0lKI!Bc%W1O2Au1G<B8K)9!LXbJ1F
z_i1)tMF{n+x`!(qrAfw~S^q?`UlOeQ?`Qa%Dy?bqx@xMt7Oivd#=f3<v>`2Y3d?Dq
z{lYXYF1#aiE>r&GmnB4p&N1Z+Bf=TFJGbaspb_*tho-+!E7*o5uSVAREQLm#0|o9<
z@6#`RBA;^(!51~e4p`<~=;_hn;YAu>o#Xr-Zwx9}SDr(R#NMR+ok|l7M|#_>#oBd?
zyqlMvZ;*o;*l3w8_dLZ&@VuN{bARKx1b&^*?8Bp@OEhE$o}YDa5+5~V5t1u^vAh{j
z(90HCjkYFL40p2&T`boY_)w5&#+cC|ue-Oad!Km5_9O`jke%Iv9HDf2nUp-uBs%(T
zI-xizfuH1c*Sa_R!c5`{u((TItH$s+eeSDHD>kExi|6u}w=z6sBg6dI`_z`~UXo15
zsQ2lUCs`M&tW8Kf_61{+d?zjUbKO35{bVdIw&yI^sK_?RLk=aE=1zxPtU#(^v&Z*d
zCZnZclP;7SgLO47YEFmKt5^h{^y+60g*S8$xSnqtre;!>@?i;qfwFy7mc!!L@iC4{
zByB|E7nxOOCjYHMt-w9vEykydkyIDCK+DM>r<tBA+{7)WivZ@8lM@oP%3M(VBlJ*`
z_wBTrSl6tZt*x!DhD*Rms-x~PCPodzun70)UafoDohET)Jn2F*j8vOr>0htEEonfG
z4n=AP=C&Kyd^?JUDZ<+WlEMj`2MYdFc1nRCNtRls0cq>@b>3VaSG-L{;HMy{!6A4&
zetqZAms<zP5!DlD$9?D^QLVXH5Dng4(Pvt`yu1%M7OyzmV|S9QmSD#KrwG1+c#mu{
zsR%vFA`^m+ew7e=3=vuY;*;#UW6l&fnY}DGi()bi(PHW?q&hSAs7tFyT1HMTWA0Ua
zJYCj~W2xM7xj=1l$Vs>vQ~^U0nB}i;wn7o)+1%OJXd@5eaKviQX|e?v`D7d{0LE<@
z^4J-UfUQ;)TN>f803QUWV`x+s7os&6X*DSR>yB&lB{X%}-?_WCu6_(-RcQhra^0}T
zzPh2bRERl7h3g3fpTy3=#?UWRi``Hr5uBs*4aG6*K}8OSPeR}2y#+)XT%1r|1q=#x
z`6ddX30(cqXhcyX{^gebbeZeT+pvu>Dza{aaHF=!&+iKiLPG7-VJJQiZ3nIMY(~J6
zOpcN6&j3ckx98D*+TKL)=-M22=x)E2uvUt&0z)S>uAe{et8$H7n^Mp*b%1s9hn4W+
zs`nRUV#3JCj<M@zCEW3jQ4P*v#mM+E5eX9HSL=4{fG&h<z|qu1D8Jjc5t*`amSJ0h
zgU7`0*lyqI@zQQzX)fvwRbSuTn9EZr!?h0@`t?_C)+=H^0f+QSB;w%ao&&jdw-2CG
zkj49-Utam*QvN%j-BAo;^Jp^=Ew&Tr79$6s64VO-eQ2}ff)O1En<KZndD!ruUA~jv
zKKm%y5ES}Z@GA!aN7&V;I=?VEP3@1wo|VUL@L}6l$-fBX!R><7I7?-2jGmDdBS&bu
z?5(u+S@0BSIhjM`8U$-SQBxWcJ9s+|>QEXJ;{iShq3U4|?@CbCQ9vIiF2bW8Td6=P
zDGev+WKH~*T`td(7toAQd6b+O)_dy`bZzH$wT50O1vXDFZ9wx)1MU{wP1v@)AAL=!
z_W0flr~Y!V76N{S<{q86JP8GtionZ~5;!t$0eIUyJUrZSWC|_1pHO15BC`J50OuS+
zfwTewBc!S*<4EJWs{#Ljtf)q?$O1hv!+L*Gr0R~~AZ+-D3&>&j%9bU_{E(yfzSOkZ
z*7OkeSY)TqvbV~$(j>O_icEv3s3@F@P*N3b2ExYkn8yj&UNq87j9L8o2Xue=*4cjK
ziLm{do(N|Td{td-z}_g2C6ZTF4If>4IX1*VC47?#6NI~oTb%l;J=9N{WCwX-28MS*
zsl0!GYvE5<N87V!%Fss#N22o6?A!rNB7+c*O_+;2v(%22zv`j{9QuGWx>aFT*J+qQ
zDIZMC?H>NXh~C-*=mAhTB8!cUklLmuSr%&c&C!nIn%v*P;{z1(L61YMN*q9haD|{b
zZ?w0yg8WxGY>v;FFMCPVgEatHyXCP;8)&@-l+`oe^1KA%LL8viu;&8Cdk3mZZy(T7
z0fAnCB1M{Y8#pESp4(8hueb-j?XmTRE@e~{5=DPJ{AfXXl64!f?Ao$2Y7%LJlxY(9
z{{=TM`N~8Wvz^OLj1<we)vv5~+NFYA4*k`ITIkjSU_A6E|2Dl6l@fQ0lhxBjhd*7<
z5<OUwUpZrAE-^eJU5+R}!*Ob1X3)wSE`|vx1k20PEQPc~+=+Y61$0E(x;z#ykqtv_
z9s{^t-yDqjY4g^BHz;+T$Z=0yex#?6BOlRbsJiJc5|Z!a+mxO=8l~^h7D@qrf*lm-
z0yiOS50Ef&g(VikK+wtr_?n-U#avKwLkkgBhr<o@ZJTTWQoukjaeaL~f}a25vx^Jh
zJeUINUG*0d!_o)m8(;-0;NgYdHEBpIXhi@B01^>U^nBpg5VZLW%+2=!MDm9=Kcq-p
zytoFhGBOiP{;i0V{={1UGpg&Nm>cjO+_>>o_?oXjN;&0g5utDDA)JsHfBwic0ErU*
z!H$=z0e-Ao$|ve+`h9Ebt5*>KfsH+uVpMVf-pcT0zJ5z-$NmG~u`0#&{j_gA3H)<q
zZ}rYHe)Y{=%Fmrnvip>OibZYr)?g84?h2v%+u9D$!7lR$`eyy~b3{Q=jN6%R3gexC
zFQ}J)S=xYL23AUTh9U01A0B^vc*0*TB^@!2`>7N<fDgZJiDOpJM(}@1924`J_Ij$c
zHjTvcp(ovF(L8<B@Mh3~IPcmAJ!&p#d?XzenMl-BVII*Fr+*H8wG5N=oS|3Uv+-=3
zqlI-%aTUfs56NMbH8lLawnM$=lITU@`_QkGt5Odh?Y^pL@-LiXVOHd9Sx<7Em|H|V
zpZqj1-4*Z2WA~;<=62a69(nw2cq78kPk!ZZ&Z%QuL-QB1M*pX}=wy|PU5fguU*pRQ
zGFztL=++pKcwyov6QM9x@6ayXatpUuJQW!U#!dRkF0;>q1amWALo785i%sxbi}c7~
zl0+fqptJ`EzZkY!xI=ZTR;4YSFO(Z^77eJXrsAn``H;^cY`qlg>4Bqq1fq5sg3Spy
zxH78)eZB59xB2IGWSDwf>wQ9tZGM4{rh1r3K<SHX3V%wPyGq>ZTv%ee<Lt%6H5UcW
zXQ^VdY^%pzp+)bSXz-rSu8DRT>bLjFU;17ey9gHl@JZJt79^^RV+za`ZYgkH#=P*q
zw>;*KK-YS6p_hGsh8*PwiYGjK+u-!Y-2?lB>!qYTYX0p29$D;1;m7s`EaZUy-mK(l
zv?v+zt#g?qKkULzdzz$YSv`%jNLcsPt8x_M{l6dPA|n;ZkI`3U=gZ?=0YN;m8A>;G
z$M)oBThTnn{?rlYhtxCKWJu>1&pdWLMwOeUXQNCP_2eMP1D35rbBN%4_Nyzcw}K>Y
z0DBf}X+C9OQWxC1)GG>`3zIO`ZMTM?fP?iVIZ^{m{;+JChOOf_Qq}xT((@iOWu=jU
zy|jk)L?oRahX-Zs6B2U*6zc+ylau+?KPjb{FO_}vep-bjI)*+mCG;e|AL@={&&c)#
zy{Y3*kN8wbqLI<i=<#i)ry|?hcAM&8d=)5We&PQE1fk+sW=T71c%Epxs$Ai%0z*J_
zwaG?F^$b&34}`lwn8|qJ`$u#H_;dyMUWXSO_7N&4GKt(0Q+RyKT+#*|g&;3cxe;%Q
zN8|<VXNVkTXbJdZCQ0YcpZ~MGJTGxoFZNz8)A2bkDNhd%eTF5X7As)}28RDCLb2ka
zw*(41hNP1X`hE=`>@{~KYq42|?dV;Lvrd6!7GNwW7>WhE-Bof#MxLgA_<<&Ub<$Bj
z{5Dq<iu*4Hsasfr{z|b^5z<4D8=&@w#4ZrGK<=srKY)>;p<28b@EW%#>Ruk*-v+p$
z2^J^W3^PDNK@B1sW`ioK7Rw3u$hY(w!$WJvgr3}jOdWyn_SUtx16+&bkZs}CVm1b#
z)N&)Y*eUc{4L-n$zTX=lRY(!GhDOqVl|bwq^4{L_*AF6Hy20V)V0K6HK-f@dK!q46
z5r3uym7FT)?Qinf7l~ok(M{x0oucmFIzUi~>cr=fg|ym=&Z@yH!vL?0)X1vzo%#vY
z*C!pV#5hE?582&BTl^qg790Z~(?E23{|suI8@0|OGrv&3Lx%6KqSnS!oJgoH!Wh#v
z%YH>3%gYMCh~T)KRb)!gA@h!&{0Hd41<NwIveHs5Uq3kMafa$<&;DsSf+`EBt#)$(
z0``S%&9H42zd(;`+*JywVF=hP>&Nrd{=$s@AY;P02_7hb6!^4Lhv%RUc*W5m&J{W!
z@Q7GXUznsn7STNgvehVnT@8&Oi`HjAj}8sJ_?~Pj%XLnn`@t$JCtU0kWaGgI6fl2)
z>(0*3uAdIPVlg%~6*&9wG@GP{($OZM@+kG|52t+ItY`2+>2!Vd@6OP$NMy>P09jdC
z;P<E3P?8A5ir_i7j8V7t?N}TE!N%B!yqAMpd{_+*2>?DKPzy*h+t*u{&h%AP38Bam
z)JSf0sS!8=p6D2ti|fDUutpL~LqjxQ1@M->-}h8=1|g$o>1!LxK%u3h@MSWhuKS<@
zIC`C#pYH;12Ned$jmTuLyLVsScykJ4Tx#MDT1f-)^$%>h{tzYGy!Ukl@>HjJa*E*N
z$BGIkxkROF2^CQ<Z)f|p%df08wq-mYtJ$s>e3~%uD)<#JC-lu|8wil4l#GmKpafAU
z3qS}5=>7^{{>c#jKiBR9T)UO!WzrzHaNa#Y5HTo2oC?Z}6SaItJY;qkb5KVZ6!8h4
zbVINDrsh8+aH_{MhKVr8G{$wR;IDqlje9+%A+*}}M?t9gXn5_sW)n3jOM7zu2Q9*0
z*pIAmwq5w_3tM{t=tVEpgfqcc*Vh=Tagz{=<m#(>z>%WGM|h`pnUYg1iK>cZWz`$Q
z0pS@I{{~eNcA^%rkg<kIz7{%KuI?ub+D?)T9jMgR0OJxE2=kp*VU+{!6V70<YXq-e
z{X#SP$>|dB7S`?dtX~~>VwMXTFNre8fNBTQ+8*>uBtPAf{0{XW{;rgi6s)CmHjS-T
z&`qnI_{}{g7&<T}`i}Z7TPI1dynnndV(E1s!ks(I-KAb&a8aFMUsOV`I;Z9Xfdlw`
zZzP`{Pb6_D=1!(G%}~BNoMU&(=?D?}i4SE@Zn3b)^zsD0S8gYPT0lVG(vlrZ>U=Pg
zsy8BW5^rsnv|0_>Du8^Nmp!@7L2z_sw55BqzweJ3dvm}1@D`w}>5AJ399p6+=hk*G
z92YNo7T!`?%>6tva+304({}dYob`Sn9d&~4BkwoQf-;K6CdMWwh15T()zijEG4qPr
z8LWzbTA{+o>m@=&28QwS?Mb!z?};I+tXYPOzkX4Y5{DCvvd?mj=R_*&mu4?Ut9^95
zmH8TshpHVo!hslE23dse2z1k3e~^mNSX2yN0R4%utVWIkF)jOwSXT19;otYJ8DH8t
zh%OGCD>9*Kv)0!eT!cij!n=;^*_g;Ko&(JhGA0JHo%8tL)%*3$2QRzltQqZL*=ZkV
zBZW0VgGlBxJN59pkBoNBl@)5@_$njm<?_KH9ga}MD}hg&E7bpRXF<JLLfN;T^X^OL
zd52n9dFTlM^TM_R&M)Z8p2Tbeb(!k@0hB?a87Kx>e9zKKnF5?(WW@W#(V1P+HCvAu
z191A-#6y)U2Q1r${&{5|U{fF4UY#okJl?wpxJvlHVG)-Km=?!?gJ#+fT~sDLX)u#u
z_nzyH)4AcNn*qW^qE|M)x2n{=xU0A^!$_MF6WTs&edjd6rU!M-tVUVZK=_51qRJG<
zR!at`iYRLbha}EE4`D{qpcUk3um0=3>-)q;Mx&*sBp5VLIUaqvG^&J1g1)HAlVb+N
zFdFMFzR26&g*EsR+Cvhta4LZcCZ%gLkr0d*+o}Fe(&zwZQhygOG3H}IsEed2VGZDn
zSKpJae>)9Eyvt%@Jb%`56Jb#Vk$LYtCgp>DnDw`IBal!1;J_08*LZ*fihul124$ik
zHqRAH?nKd4p}xdV9lBQqHuer$tq@%!qcH3D_SHb@yiy4CQgtl7Uh8b6sMro09pHby
z(s2H{2K<D*t!=bgd)V~M5#>JWf0aWHVaH@pekL2R`~KOqgij%yIsp;I1Rdv~m5R+V
zeL-<-@y(t#HpU^445Q%$sH&<ed0tIbmHGwgxoCK)0p4AmM;Z*skLlJh@KkbxRC6|x
zE<<|dM)v)maW=h)0^mcMYzpv$a{k)2<n$gV*u+2{o&#&KyOwh<`ieK0Bpt(K1{`VU
zBwpaA@B2S20WmLCJI~=DBwzv<63@fBIl9Q3xA_mmLl7~v?uW-JGAJ7v`J^xSAc46P
zqW<Y{8h&!St%CWJF!-ToL7|>pFhIrQk@7(C#OK^zg2K!(7!F1bCAF1<7BZ4N3}1qP
z1w<^34-V>?jx$8y^mr19``Q*VE;CVa^mzay@U2skzpqNDkEMH6I<B!u@8PG!_bnwP
zZx`U$6IUD8SdSXu%xV$AN*)=R1L!mio_?RBcMMh%bsj7+ClqCiF0ay!BnT0QKJup{
zl$szHMR7{dNSEP_mT8Qx{<%Lk+|qf8`l;&-@$ozYk!|j2tyXG(UJU*PP(LT99pnL>
zJG7*&5cpqEFt<>j(9a=vq@5uv<IZlAVQBOMZX4*_<jA#SgaYF9g_p)>+aHWidfKtJ
z%bPLF%tg0ti$I!lDIDCgvy0w54<#riMP$R*lx3%nc--iB1_0&wkqV$6pw|f2)An$h
zB^rnfSk)>YR1B%CCufU6s{swjtA;SkK`c9+ue5T|Uxln;3%0n8#7_`64c|sm8%bo*
z`%tKBF+^3I#uxcf4b~@A`0XCj)qouWlJCL0H8<M?ALEF-+EEOrTv=ClZ?rY+OWn-u
z`JIaES3dC?iTlEbfpb`b2>>))p)9anLmwqW4r%K9UN!CtPLM-b<JOOFu1q6fr~NTM
zpQ4pt{ZVQOtcu80|Azhr?$C9~OgHes(i6~j=DO($$VI0KYKn>^7*Ksf{J%r@Xy^i?
z`D+R7A=IRS#_nIaavc{6=iWO3OV{E3H;>zZ&;}GGhCQgE@B61~Z_(dX`tl{K?u{Pt
zcTC&RJEZ6PoSkTFXh`+v5c@(3wlySQCvN%cM2m+QGiM|LOB51pCgj!i>>->q?5lrX
zgIuo2$S$`OyheX>Ko*XclsQ7_W~IqD{2@n2f8O-<5up;LoKU+U-Y?Mt8XP$M`SV>T
zymN^1GIKd>_T`fYauR6Jy_oaz<$7tcy!<_mLZ#Yw%mqZpjBhqn1nZeV{w>{f(;3Lw
zsZ8lDifnMW@Pb*aQ)qOzxcaRrJl=|~@%c`wu`Ix6)*d?dIwj^Q*)Tp7c-lu2+!9Jb
zA6vGsnsX+vrm3kZe_T^CN>BnXjL9SxPW8|2GoU(zZrIfGuJCWraeD*y1n+df84AnG
zr=eF0CFvA$6rhag!HQgf*8rE6FykbUr0{Z&f{$op<Qh$77pMhO;K~Fw#a@CX9eS<4
zzOOB0eg4fWOhe=ubhW*~(u#Qu@%XpC)WBZ@68jF!D}bE`c9l;TpnC)EwDAgS5{#{b
z0~nz5;NgJ+8we?%z2Eg0-Yi!koK3Z@>O17_=5@gXt4uK}GFrV==BDGMZeC-1(HANI
zM|1nutOR@!MyYaTTA&fUT-22$)1N-Uf#TlpJFBWbJ0;7$LhXUC%RAp07#YF*4JtB4
zkI`Q_!OXns%L7GJ@KPT*2s47o(KP8P&ri4e+Hc<uTR<{eR3sAljn`Mo_e0^j54*N5
zhwFeG4V4}Qt=mnoJ-v4Fn%16RE1TXk#lw*3I3osL2<@Jes2-1QUe0;ezd*07XA@og
zINhX7L|XiHtd|$=6R_D&Q*@mk{edV3G#P0cAZ#HlL4pMh=Y~QX0nhJUFE6xz59*zk
znHd7xf!yw3+#&czp&tFJxYB~Uc_A~h2kuha>|aQqOG@0ZL_P9QIs#09PJn<z#jl4T
zXF^L)-~R^{26gp=Csiv|>?g{QL;5`prb<W-j9~xAe!?onV0q<Yn*LZYVBcgI$g_Se
zh?9~uL4=avEdUa{rbg_4*PPVh+<?HZiUu6ptNdJBB>1w_wYRVDjD{wU`aj>sH#Bu#
z;gaXFxQH1r(Ja5gLZFhv((TRyymZlpd}fUpM>qUq!?f`-z6&im35@XclfgMjJ553_
zZew>xbk!t-QC(d7%5pi;_3761DukhFS6Y|>LbO-5T%!4|<RtpvI8BsEY7zmaGe~-2
z>8=!7@@N1JT6i+<YOB>>HC45Xn@>&!(_Nj@O8jIc>{vgMU^E9X{61K&7vlh)N4sxe
zpO{70Ai&w+Kjm=@f2Etji4FN0z>BcS`oDs&Yg)^%Y=_u=hqa_l_&wYl6u0p90Wlj*
zS2)@n$WnyNh6m%WfnY-ab|-jY2O7~3333Pgd62)?1fdLJZ#IgSz`k6_e>PRvnh;qm
zzi8Vg91VWFKxfkcku&YO+DqJzJXj>>q91Uc_a4%TiB#jM+&b?z>|`ue<EE;#hj7hT
zUm-RQY0Y(7z-!<cn4v*PwlS;fq+#Djp4vhE;sM&GaXg6FVCjZlSV>|)fZR(=$IurV
z1(?#XT(0-h<L1hXC#J0qo8A7*+t-K5o;zL?<l_>x`<1JUH#9eoo(*K6Q>Mk>hwgv$
z(eTFbnyS-#MUZz8qwB|~A!JB~tsglUMR-516%-UeC=!c=TP6_SHFsxV9U#ZR$yI&1
zacdK-ReBmArB1v#*nJ%W!febYwZDRb!nb;eb(PToYz7FB-K=Dk&Itb`8>*WoJI#yD
zTsJdO#bSvca`s0=WWTB}HZ^WOv~9t;rH)WD?}!T3B9G!*oP3<@&-VSJ;;yeTPsx~u
zNigd#yd5*~j}w=JS6p1NFV@j(;Je7*=D}59(lI5lB>Ch*Z8A;3LDW=Ej(?k$EH7De
z5Bu6N((<^qD!M+(P!j>YXJ&{Ilh$n)mowi4<q|1<GoE$ax7w7)#5c|r-M@3`?AgA#
z)pgTA1cJ@ze;6?Z0)<102~gj6H#9aTmIomdj4!^@Bje)~7-%a9I88@TWs*#Dx7HRH
z^K1D8z`=J41kw<v(}cp)5NLSo%d5yp6=lxs?U;g6;~47}`|1;`7{&t~|8E&SQJJ)a
z>+SkBhBxV@qD47>3+*|1uI*5ToLve-*z+>k=G11h)H-Db7vaR1H3+Q{vzNx-9JVt#
z3Id=h+97eN?c!DY#fjS+g)d$S#Km|h@zTo9(@QHIyf*H2&gRx%D&w>DxOeZ8echQ`
z>okE%Pw}Iw9$eWPm}ri5=|d|#bfDts0&ue?-*f)zhRAbZF#P*6FhvKWYl@f_ZO!{>
zYFvs`V3a361Y|Kr&Z5C14|?mB54b*po6Woo+DZ$so}F<fp(R*~Fj7HaVB)9VUOqii
zsJiHq^7!a0gwpOBLuU6Ot^`MFy*vMa_2ezRoe~Yxmp4w-ci3XAur1e+SR#2&o?c-%
z-nP$9A+>rMd9Gw^Nb*2NBzk*`=NA@$tat7wQn5doL&b6|rh=<m!~B_zKDaCf;zDRi
zp>(l$xjYn_6SZp+v8LIS*-3-Rq*XI1)L|;76wMQ3pyYKwE3QHL=Bq{8@0UyK1|NrW
za<s%E^m2q;&hQFoeoK%^&EHTfzWly=-8WUL5ea134M!#l(tQO*G-Am}whs`nj(v+m
zQ$3zMd1CSa$4mw}k5uh$EU-aJ+Z`}DFqjD?wY3q_SNzBgkA4<;y(c@zLuWMPFee`K
zDHBf{<|gef`7$D5Uz8J*$v>yi9+7X~EcGW?P8<#aj)w3Ra&tSZgkdH``(cj265w?H
z2s4n&87W+T0}$GI{rZ_RKThW4@^|Hk<}t@O(`txY%r29u-h5TSa*S##N8ij0bW2`V
zPQEV+F+Z6H<tX)4B80QcB_`q%5)wKX))i^lRRO|-!?w2nFId0${e9?8`vF>g7vcxO
z+a_^nhtdXU7+zan*fa<EUj+O`5*l3|IH?f{7V0-&*|4Or)*2dp_nC68{dN6ESnPsN
za-VpB=+}UXPSyeGDL3Zsv!&VZ;z!;WJbRcPlAlPN&L>WX*H%B}d%|Hx#|Lerogh`f
zpF4LVyj^mZMOhDojOQO@{*BN)gaTPd=R!_`bAS=80iI*$R=fc+$Y5$nWhG3PknhyE
z)aE8fN&BB_S?mn(>Zievbg^`VLQ2E4J?eenYkc>P@#iJBPIoYN>A?{R&XW*(%y0n#
z4-k~9SGPS5FmsM#QtL@V5E=yZ{}jB$kWA<f+&Sw~m2%W6IE~ssAO?h$!Wrmdn8h8W
zit1nWmy_4b-2r{zuNS~(1#*P~5DPLUl$KzovfY@v3+;rf1)k1M`CsvNlK5_Cvh;H`
z&q;%09%<a?__nn-M?SVV@iP8RJ>|ynW7^zB+sr>NhpC`jp9&3Zv``X2FhN3sP4#&E
z1oE-357Hi#{VA4CX~~{_f-uE;P>=M`TM&yB0zfS<J$aGtI0kgnh!gTXZSLlv?!s%8
z$aT#<sglP4|Dp2gg+8!qz!)8-pPvKTp;3dGIow+*2R=d*^z=&C@v6i9(N78Ujeut<
z-sytV&Yf4YWZFYN`ZJE;?e6SDb8B9jjePl1jQH*TL<%lkuhTLbflbh(J?uop^Bs^3
z*?s1ppgPuK3{$Ay<#CXH{(;@`V7)+22J!_-6*xlQr;0CaUl<3$XMbl6j2hZ}2Ege8
zgOths@F9+wl%Qr|!PYLkDaP6N)V?w`^26tw&y|hGA9vuHfBqxec&Xu(NSVrqCGJMt
zbA%OpdSZwR6LY`0<W4h5IsNypM1=cYOkwqZtz2O*Y<l%q_5;4>yuHp-CiQH8n4Z}1
z#?DEkFNi=z5c(L}gixlUCrI?shVKhHx*TP)fz00)5>PL~sae5;b5=kA)!ZP_w?O-O
zo!e|1ebXkn+&1u!(%Um3P^`X&hC7VR$;%+SEP?i7Q6aIuwl-jIVjAw)75Lh4dVncU
z;QYKQ)A`~LlvtKEj(RRGOZP!IghvxyB*Ee3(O?dkNg%lHrP=y3&j>Rp_6BqI{evP~
z4#aIJk=1xSN-ck)N0g&2^G07}Ly<;i_-G08xOPBuG0+$q8ajUbIHVPULRkq8091Ck
zc(M9uO99*I(`XSpH>t<R;Vv(pY)X&4DE`5VM`+iuSN|kKCtn}6(Thd5P(l{K3WP_p
zdO_pMVdM`Jg|c*DYcUCht;HaCdSyZ4s)y2du_u_>fG(<@V+hv<<sU|Nq8P`jE>g)$
z?;PA41|4f&zfQ&7MA=thtXfWP<ls1M#WEP6b+HAx&0xqQxn76%9i9nWx1l4_P``Y`
z&-~|Cx4(d$1TxG~D;i*EVC}?IfP+q<zT;*kcxF~%?3)kh`hbEM=;=Lq`c&Kn`CJOG
zWemHVY~Zs&M-YK7qgf&&CD+i5OYqy(j=O^Bx3<u4Sz*-*aS-HRgR(e6*wiNA%|>N{
zjJXvu!%mnJRS#?@;I*jM4jdJn?a@05jpEM>ozO3RCg};0)+iHr<NnvqD%byul_C(I
zwc<KfktHV%7C>~U3Fg#!^KIxP=NxG(FWQa_3{)Iclibj|s!xFtCjAr>+4AWgZ>b)J
zFcb|o32mJ_|H5(-v*b+%Oo$y$EkJDOrkd6R{n?z4ihXhi*FW8H`5wc5W7X=@ov5x;
z(JR;&T;Kz~fB84v5I1u<F-8};`Il+KYaJsmAg)i3i|;<U-IDW{(wfMSgW16OLjAZa
z7%axZRUNlac#s7G4uY0f%6g<27;^)gL8&q`+97E2Z#djGaro0I0~t=m#pg|{=0TA9
ztl1UEj+#iIi`ond6?j2YVa$=f*~5V`WdZ28?y{t|B36+3$1feIqQ`*Ijl1nn67%3n
z?=y)Ht)@QIR6;3C;-w0;{NMDvzb`V?mOdMlmHXs-3GhZn8770P7Npe!IfgBOi7@6B
zJL4JRc_OSCa|XvUrp;w0mrNIlFxZo<w8rx<Mb73_M8B`n`*_>q)edzJo6MIUax2@-
z$IZ@Mh}LZg9oXH07E&;?E%_nHYdGb>o0a>3dc1-FpzuKN5e|5!fi)y<0nc)(3B<$P
zgOm^m3G#tWjd5mB;5>u`*VSpnGh7(Fug-d;MH{esQc+$z<wlgCmZ3F<qdoVBgUR(P
zifr3m7Xp=R7@jT5euAad*H<dG7b#%KdmI_+$&fJi;vZUv{BTVD4D%fCy`ewd$w(Cj
z35s*<6J_Ck*-y4-&T%ST6pYs+!pK^AeTu&KDck;0qJMxx%r#|)+|LHu@8)40=otC|
z?4i|T)@=YcFc{-9b2Q(JzgC8%0uXQ$p)U8yW2emr=881WH`uQIKt8}sD3&K-oMIZ@
z(&=zGfhy9JFCNPfWTSvvtoaEeq!>=0W-p;BXCJnnFBIAsd{O<^?CzTj@}!F!xk~Cv
z+>zO#?bef28Tt(JnhI?VhLiL$=g>{~x|sGJwCTZZaVyj8Vli{U12VV=fmh>m0XItS
zyIVT?Yc`!0F^w_slj{rHG0tO3bH2H9P_j^XGYOv;*v#&!pE;NVbTqVf<PODwO1~X9
zI4k1tnAN*^ng#<qrn3H-i^8zJ5(hzo{FJK6&u*&4pC@oq;t|<nU%r@C)(@`mXK&vv
zkG6jI=j#WDbkhOw!IXaZ1qpv$xosDUpW9GAL7F9bU49s*XHh8*+w5;V79hbycpl<;
z@#>wfk|S6BPe?VO`+@6E(9^@)!`sO7q8CS_W{DV|07Fg^G~z7tndt^FZ0|*iF6q8x
zX6Qw@F>ZP!B^6YhhC#BPH*_toESE@rT*MICVUJwOOSX_Y6t6UKExkWO-tbjV4l#7I
zO@4Rp{(TbpjO({x@g-_m+SuG_L*3Xs!RfPPSqahIb47)YRN>8oe&iT!l8j_SLopxe
zbQ|7GI#SLnSN7ij+t;dgzUU~O<4%PYx=R^3RQTQQi)3tw&Hk=ICI%-bc`A=Oog_}5
z2y_S=EGp-Z?w0U&U-n(WWFi#Bt|w{sTw*;xJ^e59J<sX;gVFa7sg!O$A}~Ig3s8~e
zm^b++5qsscB}t<w)s~~7B<w+p5pRJ{<^K9U3tk!voz$bB1sQy`A|#NTiOKAbxxAaw
z2)Milb?8-vSvN*Z_Mq&yvix8kTJ52Am)%6DND>k}f8;(83qextjH^FX_2rriiytiy
zbpZ`6LS?h)r^H4@I#V*OkSLW%oX2z0lKbG}02VrS1B`SrDqxVNa*msNbM>NtJO?8c
z+XA)ks|?4C_u<EKMsKd09LsQucmHKOIt*fOnDwK{`wqcRp6UBZhWUj;&6zwf4JZ_f
z2!lt&9RYQl_pID+`Ja8kyXHkD1^wS8%KBX=V0QsTZWRIzZaX_`m|mo1W&-K{;S~2=
zWcH)%cU3cMJFt+V(+!7)_V%@VdV68SEC^=*yR8c?S{P!oci?cU`yR{f7y%i}PI_l9
z=Dw;|M6w(DHKBo4Td;wRSJ@$b03_Ez>?TBJsK>{83Xi$F!uX79&ATIj4Z*}FAihpr
zu-J#*ru4aUw=%aB6wyPPNUj6(4rx4(dORr|;6@NH2-6LRelE+rxQdlz{?lj~?pHGM
z%S}Q_PiP~Vozh4^rKmfRJu5VdNsSrC1PJ(fVzZh~RFPOB`ubHcP_i@XG%EX`PaTB7
zeVenbxk_6wL}7WZW=Y|~@P)-&pzMQ`7J;0R<3E*^K+!H7${8yEO>_rs@!fRbF?1BG
z4<}a54!$T3sM%Q<G&}3I-bB&A26VU#CEy7l;6KSae|4kSRobBON!HI&4`cN}aNZ&L
znL3iG@zJX!jSDc|l-+kRi_>@)qT*mzNz+eFPq#2JF}ZfF9=e+#o&-W#R>~QtZS<9-
zl1x=$^Id*A^q@5pg0u!59)DoVE2%DeIczZnTYupGw(P?DJ*q9fgdY29k-)B*i+y#B
z-(x>g2vfH2#n^pTrw%7^m_cZn14EWubWqofcltC4kU+G-Q3zV7mDI^o&B)Qr8E;qU
z;$a4chj}7z#>ugV)3B2TLCKe&Z4uf<n$V*pAkN6qL~a2lbR|W)ZpKpcftDJ|j-jtN
zuPrvD0wE#CFO6DFl;KmF8QkGYRf-^Mq3xxYsFs-iiFn=Acy2AMQ8fS%)&HwkFYhu5
z>NUvJR|Nu~9$9(4bUw)rZZ_%;($hnWZBX5)*25ehp<727_JKUsTIp2K;>0I`JeVSR
zW+|Ua+>N-xur4yvsF;G?>L4xO3A_p2yD@)WR#fOFeRo8}%$ABio18G|)eXaI6}_Bv
zuKmXO7aQ|P;U3yNf4qH*1BWFg?s4o#g>Xe2sUCwI%*r&aw&#`2%Xr`keLEV@1RS$W
z+SLU(pZ*yi;^|WwiY-gK6BpXXGH=I7B~5S5(e?yOE^<ot)}48uCZM}AE<zf#R+_}%
z?RsR-UpC-?jkCj66#AsH4*&H2#l$jg{|6p4nIq<=rjn1C(O4xTBN*Q50qp4#FZAgw
zp_rKONkA1#05)dbr`u7H)dt&*y3IONUu7z&(-U!=iYhABV2b&ddNJPmG)uf>J~P9^
z<cC2;y^Yhi>leO%-&i|Dg!*7S%j>VVLt1guBR7Q^VR{1fXKpclXqq3P4adoQR1Zd+
z(Fj{K8WW9w5orMt?+`Nfh=MxqdSPEU|A+lQ7s+v3Nza!L+C2y^b9_vzruTZL3X+>D
zW8{489&ukvQj2GZP}*(&{?u+9E&=R;>hWUQbBK?H<-71O9YOu0%@?V{MiBJ`&<s&#
zckp?*QOP&%jYH`UJ;V^!ZR;?2@hd?Cu9ucZrTiRG>r0H0p#+b|+;6#mXps0t$2mPv
z3c?X=pTCQIJG%56fsrRzPB??WPnA$fac`AS{~CWF69I3B;uMes1n0rnRv#ep(V`dL
zFEpud_e)<`SeQ#$12`<uuq8-7WBN(PB^D2#3)putCl6Slex$LSCs`ILt{hKO`nhns
zUg2UvUf$28MJ^$Xycjd9(#K-ii^@5PIi&jT^AmsBxa<GFY7eyZKv+I*a-b!g2{#td
zLV7GG$jUK;7hVWDkQ5MXNkn#;%G-KeAFFF>0zXC&zY5L3_*{jK+vy9HOR-mp;pkKh
z2~zOcQD;YKyx#3s7l+bx@7}FlIt$t}55^ysjMaEFj6ULY1|(NPWzH1}UVIr?tl_mr
zfTV;n|D1q;4;;W%f1KbDa~7ro@JKRNvzoF@OVccNaD_v>b?oY$cV~;(?h7+gIj5=!
zJT<g)xUMM1+(~kyn@&UjpLjGis}v~)jtY%K9FXirEU&Ho!L5!wj{$AJbijflbP96D
z(mGpnk9Y8--eh&sW_3DeF`k3qBLkgF^PQ^rG~*$oLV$JZ*fng{Jkvat|1X#lw(1>g
z1RI{8IWlppUi*cVksMM86T9I`MV&f_<`MrjIUb711h3^UtLs9P_Q$>Gi<G0t<d2cr
zKEvp04-sUWDIUo;h-#{UO?7&uAK<KyAK4Dy4mnymIwuX#tRR@!bUkTq?wl<H(3&ta
z8@}PS3izk6oFsBpnh4>rVqHy!FRNPboT@FPd99Gs62yl;Ou3+4?G)ct=xU~fjckRd
z1sba$RRGj1El!pt;xK%72KCbqD72z6Z0Ryrlz%HYE<=}+k?J2Ar96RF<aDSp-5Ney
zZw3*I5v81?bUsgVJkhoydi2b%MJoN6w0o(isK_)mG~9Id9Dm@V+08vQZ}xmq+)Mv@
z&;uw;|FO%tXS7%E<V41Yc5T454Y65n8(5e}b4>D%C=v!8(RYP`f|U5~A4RH);2=u_
z3f-HJW30s;bx$M?Nz6oZMrA%@wDQ(Q{+<mipCF+E#xg<)I?|OihzE?ufroI{Sp#L~
zOZvWpBY;1Um)V7Er)V*`dEf5nLLiuN$gdqIIO1ViBaB%03U9Q?tJX{to^sV$ND~}A
zN%!KxY_!;MuOeFINYbabHAp#(OIrVk{h78b*XyzsJ$dR>?D`e?ZUzP<Z=&9R?on+f
z5A{v*J)P;j)0#~dx2(TyBbL>!iyxNwa|W@P)%RTyN^t0kovYZAegEGn0o><Y)nBz7
zS{8p_x|^?BeJho_jZ9fvE3RQV-hfO}X<zi6P`7ZRh_n6K+L6~Ty_u7?qIUN7=wDUL
zb}|FcJf7h}>;V;mQ7tT`y+Cwl6Rno^w`6vx{)G(wrwK%f0NlwXb>)i7lJxDkb-Ms6
zOzg0#CX;7TdwfBv$2qb*O()Op$rmC<dFF}RBvn?n{5o|f8NO)Qm*wRt$MYoF!5Q!C
z?QYu1L6y9k!Ic#w=@}sHI8wH6rDiQytS3Un^cNW+?6R#B4v59l(C<~}n0g9J`nu@N
z&@dk}1e!RJJzsp6(4`(dpLm0o?$-|~Zk#=%ihVBQnTuzWq#N)zK1d8(oQu4PXZY0r
z;I0Hq<Hh*Q!SbvuPM9?JTF@iL`ZzZ|G4tcw<6~2m<tKvXUfCWqNbdW->h0{}0%MwU
z;t<(g(CL7sgAM%<xP~1xdX?>Tzq9T9|A7g}Lt4>1O^A0hzHx&UlbDnQ*3IqMD}P{s
z9m&gULp2b*g$}%c)H(>iI-gtuQ{Yg(8O_A$pecl&Fq|XNsw!Q^55lvIjXwk2h8pFd
z3_gLZ#>8EM0%WVfjuyk93{UJXvt(3fc7GX1Xc&7QxG?o8f4|UcwB(OWoxZSeJ=*wq
zcXjmhn16c0MOqx0-tClmIEoVSk=A|xsNe;`lIz>A&j*}5U`qHWbV~Eyy}Hhut#>za
zI@K%5VdG`NK!TW(-tubE>fhORn63J)1F^n^YeSb`dMqi1qxT^%-H>Ls>sXt~Z;jUq
zbPSJeLOBzyP0#l#+p3Tf(<&Cye_<K)qTV*MysOxe$=@VUsa<3C5|&c?Y9@o(=#%LD
z0V>KDCwcAV)<&!=sB}-Wi;MO?i9NW*0#nN4U+LWhmn@($XD|#WPeRi<0NLC83I<BZ
z0Bhdvyzp%lpd3p$Uc;&GCZjzdAeahpB7pP-gxXy|G)bi13IG4o__b|37_@rajHLas
zf%iSI`3NZVGjf6c(0+p*_v`KZ9@nFBzi3R8h~$ki_zI!iD?3Ac*FTW`eQopN_miZ2
zD+zqu*(!Ux=iIb0`f8eUQJSTvE#prn4s*ZEYL96(j{EXU@A@0A3^?n5`lN4a>I03Q
z-Cf^+Tb@UH8sK)HUV*5u;$kHK$M5vWM@jMJvtl+~R0=pqAD>T1f3qdGJwt+#0NW(2
z$5^zsfjBuAx-$~NHVkC=o=5f$s{f2kkK@WSep8DOofvlI&9L!)c9MeAekA_v$x~7E
zHauSx%mUK*UAM@EEG~F&zBvo`o{aU+Y{~qUV0n2R_XlCY{R<&T?7?`L<J&DZICz~o
z+a1TLmV~BOLAMRsX&|A&KV7LWH>u37uD%%f0RkkD#epmsfW|82g<4tBoX_IoRB0a%
zIFo?~M<Vk-<2hJIVB{J^85X^K`5U6(TwGn3fBo8pfUy@TL+hIpccv?>+jG?u?kyu@
zgHuyYkXTqg>Ibg`v}QoTOShGDPiU?eh64|H)zKmdpkp+149ar=NB9~~g$}I#ykQqR
zH*~R7U+7ZV0K;+hbJ|bp>I!?*Oir1EF<GW1C3R(78u_^98ralx^SgI?krP#&7htpT
zzb-RU{jmxa?l}FV>vTTSlOCke^Iq3+e|z=7lt@_sOcGvizD69}d-FB@`SYlPZhi&9
zj~M1D&xfVPOQ6%Q!l##m+wvdH`F{&RI2=*AgbcW&2NQ-*VvtF2+3ntk9#YARwJMJ9
zZn@G_DkL~&F`q0P%(HXok)-0KmTWJ}Kb|UrbZpybb@cf%K8-jAee7d}86v`ZBFp+!
zR}zhX<<Ki8>@ocz;$WZzcLFaPKPQ#|?{xdD+W2)<jAdT5$VHEgelrtElw2gMbUQFX
zqX8|!mbGg`cn7Wj{jM{2z_$ci)eiVh$WeyO8*Uj@J9>Htm)q`Bgr5JZKfo3a?^9MY
zj`kfOpZ&DCn*#EyxU|$Ch*`!k)8@c{Z=AoOIzT1){Rzcz>PFD9?W=d7O+6Twbqtff
z0K)?+;XMVAx7?y}7ltcn^iHs!(65!|1Fr_)p<sbGZ}6~#{xtA}{cD((wdirz^XDox
z^^hI6m(7(T_&&-$+K^z1hq=8n>27L*8MbH7*M??mXc@-UgbEh>r~fe#%kQn4{QR4y
z$4ovfb<<JP@7)E#8+zZXzjTF#k$qSC*$Z8Lk9jp!)o%Wnn2GCVheMz1YG3|NNJ=_K
zPCfkjGuYv*cSO?O;&CxNM`xcdw8%j(W)A6&Ylh@py5p$pKFs=a*^ND53l~Xbz=%F-
z?g_&iKxl%=cxef*H#1vNOIl%exL<WE7tTiNu5ztfPS$x$p!T3dZ&m1;=U450TB9Ki
zn}iotXEnG)xjWTLgG-`>IcaZ#7?OSaSppB|XFJ!efif&b_>NWWf;`fO$Y4Ns10(vf
z%d{Wf(CFNslBCViP#U(yQdju7bxZr8A4B9By{L`Jv^kR3!ALe`0Dm`K_yC=$M1xsx
z{DY}*pHsoWZ1>y#0dH;t)rHcA7<o&YX?9SeNrKSCfz2sDKgb}!=K&2Kvo$rBbp8e<
z2A1L_#39CpKv}(K0g;iIzW{HzKoWaV$uZ7h{@A%_74H7vA#361wPkf~!kMtxt^NCO
zwIFy7i@{SqwR=kBc0WqBiR#CEinKz*5WS6Qd_w1TwuijFfF1>BraRdwSEZN;I=8kd
zMO7eToSc5T*BQct3@>@y_3IO+#yh`6kv8F<sdd#^!PY7N{&`H^yzHH0L*sw<?goVI
z=gNKNw~#&Dwn^^GONJyl`ufR#8>aW6HiMh9>Tnkg+e2|oU|POHK@YSbH0UHe=3zo0
zJlp7wi<_d*-~`n>hV4{T9<*=IlzA|wabn3&$R>SHi|i|th(RKsIa1*SFVYpbzvbH=
z+q~K&bK@hnVhVT0D#(2x8Xszd;}*p|ER60dW;uN+^jRjx?Cx4Ceb^rOLqKC(Do?s4
z(uwabx3w$#eC>pA4@`0Wy*az<ljgBbo0igLHZDterDpmrJ$2G9uF<m%hCXBDp;&2t
zSyV(61Y<vt&A{KFogG3C4G77t>aq}W8iL&BkkS8>0?50td<O)H|8CWlzq?2LEZ&Na
zxwiK9=_2BFM^^N@bTN)|{9~SL+SUpuM3jaN$sUcr_YiWaWqM8G;prmAKapFQ$l2mf
zl_w_X9A8`|RQc>gK}@wtw0Qx-rOar=kn^Aoe980#5bUQH1T2e-L6AhgeEQVozB;mo
z(uH)xHN;^Q4+(JXWp+IZkFXf^R*$XVDFZ!71oAA6@2E}ecK@Fv%EtfJt{^3VPb=l`
z(YW8r;_KqGtH_Gy?SRIgMP_xp4OX@x!8|;Qtl>#Ws1TjnGj%n!otIRm^mHjtNyAR2
zsAt)VgqGS`HJMts;Eeeat+98p|Z$_KDU#NNwHnQDY1^b7uy0F(wlgw8fc4(F+
zb38vb`mX$`-WvZ7Uh%ik4eIKyJH}!_`cH;qW(?{<WiDDFy3RqIbKA_tQd2S-k&i4D
z$7T`ILcUs39Zk|G6W;d)93K=oIF1P_crUuI>*5qsV_d_|zZVpE^XXhm3fBna2?~6N
zgz|$6hf~n?b3N~Br5FC3iik)aJFDq$G;%4rEGLnSa(|sRMkQ+FMZ@F-?dyWmjr=_+
z1)Sd)b|Fr9DraXw<W2t$oGCDH!B-C6AWg+9_fxQev0WkdgBKVmF%`ZW&Xx(&&*|T<
zdNQBfMmt#;T#QP=oyee|Ad<&wJc3Vq)9yJq^y>;;<)*DITurZ%(Z4Hm{zh_6=uQkR
zr=6ny^;aBO_>KVq4vq(;Rs`aptayX#IYPuGFMBbb_Ze6T@7}&TFL1lMG>)sT7ODMx
zE2Z2}P`{TlyS#Ca!cbzNfp84dn;7=cDw>v{Uo`wA@H{_NcMF9-xO_TT*FZH$KVTh0
zQykIQhpZ2*ZtK{2Klv7sP6!(X>;G6io22?@QL@V=*`g|*mntQNX>MpQo|7nv70);Q
z+$Bg<9E|Wp(eaQ|V<HWikw#-umfS|Wm%0NgdN*GTVa$K*so>m^g}>iDm~bf#ntr7t
z&Vgiavae%;$jG?4xxvNq0#-EHbB9FX>M%K%jqSYq%YKT>&f@>dc&BJ<CSo7$K78i2
zi%rJ;%WEGP7??^XBPXBL?FhfqyS1@KGBd$|4u(S!?eLo6IVADtF4qA}tl5WL4{{8>
zmL3j=6aLO|6Efa#*+5~YekB_HYU<`8UT<z!cMcpK@6H#zOVRo)FkX6|w1d_wM3gU&
zl<?T6>Lus$!})x|%jh&(QYB8iDVvh0r=5l{j_D!6`c7Zr((67yKN*eLufGf$2oFg_
z6>>?>XZ@%^UMTLky}E{_O>5U7qrm6OS_DXSQAxD^cS$S5ii?4Na%XWkcz1=5=A@l$
z`F9ql>l#M5kCOKXrc^Ew$;UhV@+L{<;>lK`3ns>4aby-@qdB3{td)-1I3f&PmP&ER
z*eLPEbA8OLtY5ENXbMO!Jiy9hf;95Jy}mtoP7P7UYGZ=>UOc#b>GS1Y$(6-LEMXy^
zh42n!&^iy<FU`d*>(~uErRqTHfbBui6Setw4rex8I$(Osy%o*CIkw7G^33Y$wLusR
z3w<V<$=_g#2>{K7=F9I;>v+ny88lWIh9x6V8tgey;qy>_n<x1c4(B$uEww*3hNLhF
zO4cQmG$frfC&$v|k_OQ}xb9i&YT_a$))m_N{pVWzopN@P$6<sNo`^@r^KbDfHwRKb
z5XtjC!f3rC>N@-~1QTU9jb|u0*&UsBrh|zvg(J=lgwB(TkvH=FPCnKw6#2LLLskj8
zD0`mok4s>>9~=*8iBRR3CLxYhWk8f6JE-=SUx3ps?IPb9iDKRed3lYZ8G?q0MtDSS
zm@w}HzFOn*fP&X2F$}tpydH<;a<0+Pb1yuBF~ngKL$B5T%Wn&FlXzQC+`Ob^L5z7-
zw)FaT>lu17L?;c0lbWNfzvbuXh{xX$VFeNef?<OlYjp7p)3*#6^2*8(AgKSmD_?-I
zKYKkof&b9SLjZ^{mY0;9)%IQx@q|{Rwp*c2z%K(7!Gx568j!-#sXWM6G!hz3n?boj
z(9U7rf>+9t+~%`f;-fdvr_BtYi|9auVKXD|$hQnW)Q3obi+A<-EeT59Q{Q=FFvS|Q
zdB}H<^Sm~n?l#O+$!5K%mM|#wjZNGbRtp<paZqYc?PEPp#F3qSRbZ~Ft--%Ou!oH?
z3___BqeZ$>g0^bzV;&h0V@@e@DriVvx|H<6KJHz+M6krA__1SY-v6z<5-@}pN6_U;
zHmB=xzqaX3YA8>HIdhAGjy8{h&6k!IdA@Y6R6&^|uFqDfqf0oPj@8-ImP27K3~I&M
z2PF8d<j+c@clEj6MckTDuIH$MzezgWK+XJ$!f$PnOv5R&MTfq)81yGdv7UhU6YLD5
z8zi}GX~u^??i~JrMuH`b$eBL)IxPbQ1h_*n72qwt;6HmDQvoA_Bao;#NTGpI5vUA+
zGWN;mZ}@^CXy^Bi{~>B@T6U0|7#=3Y96x;?O|3yA)?xbfGP=oi%WhVF-D<K1R|FWZ
zU=#;>u$SGa_f1U6C2oe_9#F@fZOsU&^X$6=;posO4m)M}mP&cP1SUpCVX6_D+o}j9
z7K6pg3n*|>D0F{M>b!jGEdQLDX3n$NhsTJG)THwxvyEz=b>?cQ8*&ROcRif6bJ^P0
zt(U=uw-*<O<qk8EVCwqnsWI{jX-uEa47+{gBoIdPr`AHu;S5bYBZi+C60vVtRsQdB
zH^6d&pTta^oI+oN0gL4z;weT7J!VL;#IF}c*Y7btuexpUpdcHUz@c|jEo@Er<`ZUB
zm4<Bh7iw)333M>6_7!lKi5_=eK-!|0#M-5#QIS>*X3?+AT;z&6&v#}LWi@TLkF4E;
zcMsHLlM*O3oFrIezm#Aw+vt!lxF9et9NgdCI?2`G!Qt!xb_YQ_K8no0z`_CrgD+^X
zXx-M;)rAgC&&rybvf%81rs=P<e=%s7e3C{Uf4cWK`iyNQsTTlO&ZU73W-sC{c$b2U
zntO7(c}{LahJ};!C@n1G0V(-RkaGMBm&Zt1^zCb@jlM>=o%K_FC7w*D;d@G>U;K5D
z=D^*eqRnyI+(iwhY@X7=lweXlB3nYNq{XBm<6P{Lk>Jz8!9g#n#_nA7M%upr+SF+4
z#}GkIM-(r3i{?!A#-q-`A8NEbLANGGoZ;c)X#Bv*L2^vi%Iv>2d{vW&?pcPJ?s<k@
zlYvJ>GowW00-^F{nk1P0_iITtNS(`>Icb@M+L1~XQri}>;k(v2b=+eNExy=9#3v=V
zTcX^!1hzdtzxQw&hfgq=O=r_1X#8v)r$FocUR~v_iB{a3L1v5^m&8Jzz5rcBO1@8M
zhE@x0J`DK+U;zzm%7Bq>kiLVFhb<hY{6Xy0D7&-9K1>+eM*vR-OdEz`{r>gK44glg
zo;S`sIF2qY(Bt|2$DXlk4o;0Qwn+}K8#LAcW@Fk^nt)*zRk2_|B9P*|27V!`$yRSz
zaBkmnoKmeBX|=V(@5YIA@nSeKml`;-#GRBF^^YYu{f_>aJJ-eV6wmOGl#fS2tJoPa
z8x{I^gHKTFm6pm0=1YmC`9v)(CX$2G?69g=6!Fthbd8zTos+yH@~Zuq0uSbd^VpA+
z`zQO?So%FEm{?iw-Z)JQh=HP_BA!7?D(>g@%~bQn5XNmNmV)MzyrpG@g>g?rPIwhP
zy3hI}ubYvGms4Mg5z8Y;So^Ik&+`<aJf{4hqE%0Rq=A-C?=(y7BqudVKQ5nI#Y9Dc
z(Aq;oO&!)gEA!Etf)k`{m5$(GqMt!CTEsXG_j8;les-O^`s&vBTS{d-7Z+zoxxx^P
z;he9z()8}T$DZpET2?^*fOlM%qZo)>XduVSaJdVd^XM=?G+O`58iHnZ7nbZ#87=Z#
zBp)(z>dw$GaVixVRtafp6yY_*m`^M}BI=ff6OThuU$p13vyIA}59c4aB-UJ3TC!oL
z^pcqsjSw6(s=4vx>>K?~HH{&oPr1Kpamd+grS9t34lRN%-^tXGVc#2Tn5prp1dTih
zyWUC>OX$HzwlOXtY|Pb6loaV5df~&260tW*M#M&<^5~XIMf%Pz5+`zQ>(+jmoMahJ
zdX80~dlM8?qzq6kltsl0K9SkmO`57_ABk~T(K)6jT`ia>_AJ#nrxWhtdyJOJri1(C
z+Yg~Q)l=VSPrI_-6=*#+!6l9vXvvIMv1^;ND1Y6~dx`QULcsEhgfji8tawDJ=z8W0
z>`~A$XzYIbx~v~oio0LitSkx%bexa=QYAk$kH|I@ROc(oIi0xw=rV@5u)yn)Po91e
zIELQcJcDy9WGN$-laktf#~t?;G*<vl@yUIIj$V)}2l&XJ(@lRL(t8}2y>#jG^mM<Z
z<=QXbX2fo`p#aQ%FxSj6^`6)0DV!Sy&TybNv37Glx_I;U$Vq*T1UgQoNXN2nLfG!d
zuA61cU!t#=b9C<Jo>%ZC*3b8_$FmtbwXQj9IWouS7Sn5${7T^$^U_b1l8|^6PJAI0
ze<})AhW|y=d52T||NsBkBiRxmJ1g0n>@6Hy6rt?BLSB@e?MU{>2%$tmnb{#LA+xuv
z>|~bT<9vSC_m8g26_<0I*X#9sKAw-q{eHWfOvDZL3z|m!oSBw>P;WVS$=_~Vpc45)
zQ<{UqRh2vL{xb9yM|X_u*F7Sodj{%)HkQ&;|24bKK%V9^hxRYcB}wbD(8_UlPb7FK
zgPV923{P$|e?Ab*IP(R_sWW)0CK6^5uTuA@l_mMgI*R_j9M~kr!OmA=Gx~I(xbMER
z^4r+uf)|e~v~sn%1d1f843oV3qN9)~sGWd5R&I<o5x?TTYCAI<p;u=;T5MUKXkq76
zBk0~e8?&s&gi;K@qO;*>XlPPjRdrn`jR2pCI?ZgM1cT*TV~K7W=zbX5VtXps5)Ve!
zp%A3U{D(A&4J3&Oa-L;2IYTgcU9^vDLUZ!!S3W|&^RI3m9tef+QJ7t(F1Ov~sA>;^
zjDZ)&ahOye!*XF2$;hyl_N>j=WOcFxW9w=c<3d$&W1X0yWUaW(lw^zzi9&Z^<UW&~
zhuH-!HK#AePi#uiRLZ~pMDnL=fBg6{{!O*sM|?JS%656aOb(MGNAVu=E3bH&;v}QI
z3B7SqtT_FAMHs|`eDn9<MU8!1W_o;!RlL&ZG=r9zcOU&WOy^qpR3D-PjQ_Jry|=Yl
z`z0Xoj*E*6dy3Sw3mNfq%82CusVR$GO_+LkAFA<|bTXH|FLlZqhYIOcA-5l$7=2DM
z8BGD-2>v2n4HMNHvPycM%ew-v8b7^pbTHT+DP~zIk3cf2C!DJ{w&r$&@+QZ|jLMDQ
z(MsZ?yvo}<U6c2d%T!+`r<#rvmSwV1@f~(lpWjZ^l(gM=QM$eF{ZeTJ=NbymLw`q-
zLVXt${#RtctbyZg-jAn!{5#krxe#C!9-R-{i(I%Q07jW~Z3nPN!Jyr=600m_VPHU{
zSLc5Qw)@S7hlfuL%<*o$Y@&PD{83_EHG8n(+@szp>xU69K0ebE5RHotNxiTVT=AA3
zs8t6qXEgsY`&R*Ux%bnjA6BH5SMkTZa-ZO{p)riqQuL@Vo8LAn(sO$DSt{eKE9Sl@
zmvcxwyi;!pGa-}#UwRYBfF%x0<&oEym#N9rv@$u>99ow6;^Lo+<i*jMT$XrU)H1wv
z=c{HvRSDWDzuX<q|4BF$?sZ<ZeF3}<9v(Ng@0yfZUUc?5%)VCsO>N7cqI&ZMsMYW-
zB=8bBu-cp{Ai_Ep8oV^-gWq6G)-3!qGk&E}<2z$HF|F}va<;ewF-jM?p&H2^h8HRP
zd1ckc<ob;EAXjr-*H`m&&s3W}I3zVMdJchM_++S;v5=T$KcWLi@%rTyOMxwJLZ831
zVV+&A+)ta_zX!F(r^tPVOLt#8Q!)G|2>_Waz;P9R`t2Pv&(5iR>gXywB)>~eu>_^f
z`F~hFO*26rW)Fc~6pOk9o!)U8boQ|Sh!l3hd2erzaO4lygf8b!$B5nm<yW%7+S~dV
zOTi5J;S1~!aTC2LfqZ<-QV6Tux2aQdE>?WN24KXync3=ITV{x4G3pU$BFMz9>L=rV
zs>VjkE7aAhHb2On8_Z3c%P+7A3_yB~ats32J$O!DTzYd<jrVXkvbIv4?nZTLcQKC5
zhaa?)<9tQjFjR%1yGf@IF&lN5AqFkd{n%qHoVfN2kuJrx!jJ~HX46WBUdDRHw$oox
zUhBms4w!vNh3>OY{7Q<4%Z<Z+9|ox093|iDoQ&K9iSf00BPekrE(m4_v>P=cVt(Zu
z*9c_Rc|pc+q`J56nMqrW&wY8Jx<)M}kxQ$zpC1BU%@&A=h~^nAI{kif|C-e@$Ze`v
zvDivZqq0!eyhWD8^MtNh)vBnX0+7_D#}*z0%czBibB4j{I2uVXeYoAf@Wm!o7ae}S
zd;=jt0U#91g7_np&9)SY(BC-%L{TotpCKOQ2!7z9!D+vjQoSVss(E4Sk(TxvM(*aZ
z-hu<YC)3FH?;$_$xu{M0n=B??=MZ$07z|V`f4U)>rOcRIHM{ILqdh}ZNuO(RL%i1g
zrR(MKai^~azQul7rL3mX4G{$xnM6EP3s>dOMfc5F*xR;3xDdvB_n8`LIX+BpUov4W
zts+4Q77DTe#jdIP2?j-JUn);L2CxBx1^u8~=wpRCiNZ~l7Cc2|FOBH0rayKS!zrY0
zDSdkO?9%YQL_(ED_RDvr7dW^!I^?LSQ#gky3p)F4TAMgDqJO^6C70>czNu+Y3>$JJ
zzb%7F@zP_Cm&i+{NMS-0x?j1F)v!r8ID~|T*P)%Sz_i+w-z(*nVmVJYUu`@p%LPRz
zEWapqi<6oy^<+TSIf<Kf;mAIf^bC4!xTu@Qefob^ep8c2dw>%VfE3@hAL72=aO?Wx
z#!sDRzQ2A_IxNmSr3SmkB{;1$G;B2G4X-elF(xAFZi01n+En7oCq&Mb5|{iF&0|=p
zP;EbIE&YdMxh`?p5wda6(Q}S>buhA3Z;*nq#kA7TZN2{TK^ZGCAss2{z+0xl@~~el
z)n6ZotKFlL!%(U)P)DJ9=_*kLtcC>OnuL<7zwUiA(bt`{yfo96%G2GOhOsEr&@q*@
z5u(_Jfwv9$x8p4J20T*Ll`1hb`e}p(#!AecR!L3b`aV0=7vhNWBI`4Y?4o3Ks4OEf
zC|34+v^?6r*7PW*p2eIC>3CCI(lIKrmG9qGzBN#aUys`&jn?E-GObVTzR0VnQq|V|
zMUB@1#>HXs&R+;&ImKx4?Lf_n@<g!Kkb)${&&I~a+la}<KpO|ei#y*#p21@el?gtM
zH%<>T+|(pC8>3I8e{KqV>k^i98C6$d9-84$qem6v4=i$jd0+ZDA)5YLQDd#7xu3c~
z5=o{6Ci4xYx-EbJ)_j99$}bpbGnlC9rp0)-l?&xYl5r`e3voFNmuMm~P9Ya+j5#?z
zjYPO#_)J$hSWw6q2RMJNe{BoD;X@PrjdQIk<bn6Rx=QQpHVvic8Q5N7LfQaBz$5db
z$IDc2%?n-#OHw^3r@sEoiOK-C;7KA*Dcc~XcgXX>j5$C569+VP#FY-+9o?+SgWtcQ
z?|B;6z)6iFe&IaAip10A;?i4brW7-DUJ(9W%uXX`z3h-}j!zuMU5;W+)q0sCU4Fb9
zc;<LB8!GyEExw$rQt8CE8lltj(CG2Rotl6gLe#2o{WG6G?;~P@bP2)?czkJ1p^*E=
zS~T!x)m!!QyN?XEet}<Vnc5>TC|WQ3&zU2y@}9*F=|vDB+FN_=_mHVwMQTOd*G}Uy
zHR8NDuozE${Yr?!cd$w`)FTU=V2i$JQpLEhoA8;GfmhEB_qw_#VOFk~DW$t%EmIm7
z+YGHd*DBGvW$o0jkx<SaIVG}?w%?xA{f7oT_y_gdm+$_cmLRv}d%uj|)c|XIzVQIU
zJ^2OX6N)O5kI4y7Q>Ti1RyX`V`6caSR2VgX9cC$0z(f0?pE!EWupw!LNh3<ppd&_R
zq0uM256;oRE53@4qK#o0>HeH*<V)9FOz-M+p<P8T^>I^iFQpQ@+@%^WmttqT!Hz67
zKE`!*uJ5kzO3}QXLWzHjNQk9|o)@Q8+{Hom06s0Pc=f!ZHTx!xCU@G?q1%+zlE(Xw
zOesi2zS|h&LUCLWZ`I~S$`;|}T2RPsB;Tqq%J`MI-BB}ho;q`eDK^Vj=z$vFdnx8B
z=@7dX83TWmB2F>BpE48oKN*AdN|{i<%r2kX_p;)hi-xOw>729q{=DA&$rRA+P{oU6
zT=>3G8D!Tn%h~_8Lpg$ML~xvjK8m`GzkEnjCVP-@ZG$@^ClA57CJB2DKop~FjT=Rl
zGJ~xuNX1t&Ba&I$_1a=_*i>J#mvT|xDy^5g=6sEWQsw!<9V2F!@wS&=iWEnBEv0G=
zW#rVoQK_17)Vwd5RFhh&6!-I165^3~1MLwu%XS{=u2cmHn?KLS?<xJ%sS_$9Pps%v
z`^-@$ErKcIAU9`}wEQsT)1PZm$;+`pr{?5L`dA+impl`m<EwxO!dU<}Pdf~w{!H0|
z!5mWI_P6q`p`vVoNv1|Gpjj8qkq~vsa6Gx_+PHDBm@!Zhl^(zudIY&+r`X0h;%BYB
zBjqHnJ9f!tzo~9ylrl?Hw8`<-*^d=5>(Dzsy~gZuOC)RFQ%s`NQ5978SkbD=UY~z(
zWvpn|YnOnYM{|+mRny0xrtgvBrzlE8M{|>}<NaJ~bZw^>u0GU>Z|U2AWV2i{6Bcz{
zh$V?A>NN=)PM6r(1==G7mP7;CP;_)INC+@_s>uE_PuUQ^HDI;r*D>?z`KxUhLXy3T
z!?{M-RE?)yz8|5BgU6<-%ZZjV8oq5g`);g?BF|LzHeHsWF1~MD;sA!XgO--g7&n4-
z_oZ3kvdE2}-i^L8vzIbom^W#Bf1G!yGA~x~f|Ko%*T^702c0GId82b?Q14^+ADl-I
z!sDkMyD<2Y=A6_d9m}`mz%!N<gN;=r5goz2K6Ivd@Hfr3@O&ts#RqypKlhJeb3cXM
z`y)(nZ$VD0Cg;**EVlW)4aDi0cM$%AO{eeE^CC+fyidXwh@;Ir`Jrjf!zyr#x2d|}
z-Mc&?WGDjX8XmMWFPDtZr$dt5*rhtx@1tY+mE{=ocRVJq&{NDqvKO5=s3z5|O}#E-
z-q<|kie4j)-OzrXTEU-Oz^O<n(2djPl><_@74OD>bIzH;d^l`MW(H>I$?DfT_D45%
zU-^&46v_zXk_z#1;vP_55mF~6k?5!4^em)6o|E6Yb<9E<3Dd+N<NE)aN($?nEjMI&
zOQ6>i+Vu+7JaXQWm50j2YKCWWdVTh_*CikH^!~wRC`k=mH7{~ban7W*W6%6K!dO23
zS{wh(oBJbt1QW?@daLBqF)?9i?I=NLNdv7nIx5PbKu_Se0d>J+c8vrVK1YeK{n`lI
zf9hmZOY5)IE~_MQc>EL%*F=$_H3;x^6SYEpU_HYIDL`Yo*0l03v_c_>F!WtOK6H-$
zOViKObTFfQ1BuO<x`_!1T!Q+Vye1|Is_Y|<Vy{^Vndmind%C;58*|)dLZ4Ptlp9x6
zSKl(kG#Lka)~$P8W~uil8>dBZ8P!ZmX7;|8rtsk%Q*rR(bUU+fJtr-<O<3n!MpLVj
zP)@#7H`HbT)5e?Ug)3;`#g%6n5ucQ!2Ca1V7)5S-q6|_V<I~Xcy~&ro80Ulzj|pvw
z4SPa~NxATx1wLAG)S_qL+=quCHp;ps+D*(>>I8~#)<@QDyD^ma91%xHSJ%(O0vEP}
zQn{%~RA1Se2(1;ljX2-BQl!k5YM|xgD^*4ow6Hdc!hdSX>cU1f5<#WxV3s5IxLw)!
zC0biqQzCm-sA&i=nrkqmLgDF}$)su$xe=0~Xv<M3?eU00gOVazliLYn_FyRu(&w>h
zIs&2D)ckz@tun|zQ@&--?QvpRYu^_~$B)f&gRz=Y|6!vw`x3UnjHSnKeQ%8Z*kMPm
zW(csA#6Ntvxa17H%is@q+O@PUE}w%#uSv{fENJ;39Vvlw@1K9@-f=<=zHL|j>FOA4
z%#LtrdudC*V*9ObUqX>meqoiq+jmB6o0P?rwGr_oF9y?CrI?j|?UK>S$ugd}Y8Mhc
zQC%bL*qCPyQ{R`->|shgxSoBT1rY`#@3%C4QzpAQcLU|V3F_mML8D*y3e*Q0pH$hY
zBASVqw%=Dn&q89-Pm*3z(?k=~n?mapEnj0L=#o`RP0(H!Sf8}@A2nH+`W!Bbqu(YR
ziC4GB;Blm?TZF{_6hNC4S7?@~SKvyg7-vKg!6XH62WBRIp(o=3-}s7(@)Hw%?o_4}
zNfP3VeZffvh44sYA&m<4V$lWME9`ph{z1-O){^<dx1VuE>?B==1t8@{|0%?t|0W&|
zr1my%;Rh!lR`?tg9DFx;vwmv}+462=f}Yc0mLC`>L4Bq_L5+utTN=^c-VS}Bi3uY<
zqv4qeP2LanMP_66Grx+f(KC@DvC?@MYEp;$s~DOc)H<55M9RwR0eAe^I!DbRT_i@3
z{_#LaS30%q18x&~!t0gybixL+O4TA9i~1Lu%d^Gx_T}{b8gaCrIwOplv;|bEDvr93
zZ`ptPLaPQ*kvE+wRs-#1mL{%A{sf!hR?|i`^i*D;%fV%K2XIW-1`B?YDHdi2avz`k
zj68_=2C4Qvkqe|!uDHi6l%6^4CEwrJ^~iF#Jl}c~&#~65Hf`P1SQkp3bI;;Z32DZM
zSF{8Ls&&au$f#m6uDR}~*kU?##gBx8SLNCR)SN1WtS-gu$qnz{671BXJsb6!w4|7z
zX+Rhi_%Yf(LzZtPM<_1!lf`KAeLZ89JLVis7-}wRb@7U8@MtX$(uzn)Nr{NmHomqE
z(9sB)TUfAx&Iu>Ablimt&&f+!kBXr;4UU$x#UzC0^_8K<m4^|@3lo=wOoU*)_`W{z
zF_L}x?4$osp*d%H@s6CnwzTQX^oqP>9!`52%SZjIRp0UislwTOCtvBB>tszwR+VoO
z4E%{GPkv|YXxahwch6CGJK9dde$!Lrt;yu?T2ob4G8$4~;X7uPdOdiPLTuQ@CQ_P(
zK_l9{?9^?<&H%VM`g|3)C+fmqpw*lvogXEk`;Ga;A*vD52j=`|+^{4uc*`rX`PI)$
z8v`<{S>N;;UQ6B{YiHrrggfRLy4-%|oq@EDl(&@wRiT%plN-bA^Lu`*g&hMDe&IYk
zZ0zj9c|0S+IMgW4J?iV~_Hukn%*da|A4HalDp7iSzK<U$v%d<Hd3nG%ZeLAb!{zE8
z9mpw0`<9Wfh2fh}Jid-|bsp6L<3tRpaB2aDTA5N<`5t3MpZ(rT`4=>a(7*v|z+lNm
zfhF$*9Gs56sA<bC!$?Y)c^R1yi)IYWg2o?<YzEgliZ!jTuD%`u>5>2P|E=Zw_uL!;
zUJ?+R!OnSe<JH@<XS&>?K+l6&nRER~&G|_UG_0K)t@1#!FWGuLh#W;D-|XW4{rh(t
z_GggZ53cM3v?c%a`wBK#!vjEuFjDvnyM_Ok@BGR!*Z~>%5p6)@(r7hw|1CWv^6E*>
ziakJva#TKAuzdntF!W1Cp>5b~z+*3x2`~Hz5;*=%Pqy68`g!DTB>v+QNv#IcZH#sa
z{F%T8IM?I_{`r)vMDIS8=X1<}18<2#XW-_nhW5*^y*r+n7ZQnC!+ltiUhY58c+Vzx
z`;WylMFU=SKR>nVKyCK#l%r&kjuAWvzI9SGe)-f~Matt!5yQ01=R+4i8)ZLne7!`P
zZl}rF{;E(iOo)zAKl-H8oWk&?L=t7Ht+5|iO9<9Dx#KWArT>Wk8T5d<u?e2jVhmQV
zfi=8quffL*?uj_Sd|6{z*)XHU?`ede!Kx2b?!rWNHzNP>C#2TjB-@O(OJ9ll(?tSZ
zwyt|#I$kd_JeTkIDG|_F9mcSBTvA3EbVLe8PA!PzYR497c5{-F#tFtNOy_oWKi4!+
z=QZHtRVmd>FPyC0dTlabxXG!n!)MVgnDF{}nh+6(d&jdlVx{MSFf8gCd`}-xd;gg*
zcLWNRUU6SRMiTMUmSefen6!fbsaD`_aKM<jQb6XSG@X@QEjKh2CQpASCMI^y-%UtN
z%mXwh=zp?GubaPSg|yDYLu@|<64T6DewW-}77HH%lI0m>#a=)G`_F0SPnNh#HS{B4
zB}I-ikg3@RAmGLJ;TIMPoU$I|cttr_G$26d$Ih^!mm2%(OYN)Ske{Oe=3cb4gtk8>
zfB@4_pgglY`aJ@a3}@(>(X>uE*9U=T4=X`Lfx5$U+Nta!Ik_NYOXx#niw3ZaAX-BI
zI6nH*e?QnmX!aI;i7zK%YFk?okT!a>{28iPp7l5{Y2HZKN*`$Wh@3^!!OP6$dJC}H
zcn9V+1nE)OorXRN&ifBHTV&DK>S-k1kXo?Mx53`L3NEE6<2Y29%>{+Foa&K1S&nq8
z_SkZ5bfIaA8v|dfxSULs1WG1e2W4N-ouK{LEMc!hvsh_Iz1!0G;6qgRSMzUZL)Ie&
z?x@lU;Vj<;m4mmq$oX;XlQCoUElT|b1QIsAhHma>4u>2z&mW{G!vqcsjKGXy&9BFM
z%VXaAIAgl3^JPpo3AFU}lj`jnB|h+pj5;K~vj4~*9UTpS$gfRuXHsG*SF1?^RQcAa
zo1k&whKvRk4at+}2wID01Pc#8lkoaF;j(JlteR*wB6p{z^n)wvinTf^ZHYEN$c$Eb
z@H*L5dlu8i3neS^rZd!N5Aa%)(Os0kI{LKm*z!TPu!c4-9nN;pB7-Ai<WA1&nJW7t
z(Ptti1rWOEcyT;^-&}t<`#PE5*w*4JW|ay!qaMI(2ieff{QUgH!~qPyz;P%J3leZM
zkT>SP3R?fcU9$m&{NS=Th#z>;wOi&wK}~j%f?|7Xzw1V*m#61W(Nn?owKc4n8QAEM
z1|%;fbp(mP`u35KdOQm!0a*md6L*nEo}RBOE3t}W;Qm*bR$|v|s6)9!-_9R(OJa3P
z5Jw3$maUD=LJb16DyXA0)YY+M*<DH5NKqE*G~<PHU`>=)KtjNqn^Z&6`LY4k6&2WQ
zC0l`Q&U?PTVi^Nfp_R?gpPaGM`WRdeKSO;pSv}c!2K@40DOx-*5M%vyJ6uEc+&&NO
z`bsqGZK1j9^@pw|ZxnqWT1u!BQ$HqE!>Rpb(dU3@dKRz0V&K_k^6R!LQ}>@D49N&Y
zSg4KYj36FpDe}UN^<QU45a#aP&wGLKHb<iC^}f<tN1oR|KhRh0ijG|uz5kims+1!3
zMRl7QUpn~HSWwu9Zg&%eL%UT&Kw)3S%z3q?uwr+rogL3YgD+8L4OdEz3zf4ivh0vc
z`XotR-q!BJGcBUdift+FLh&+LC8^vGMY!)pi80@!;Q2^g+~>lkNJ7b8u4?;Yvk;HE
z(wxOOc<-lY>?NxS!q#uHOVy&G_!Wj+>KrM(Yu6v-O`Wt;4E@^yTms07g|A899mww1
zRK0SM_X#2M$OFDjXv#wYu&NM2LxRkgN4uOpv~zI{$nUg=4G6UZD)C1lQOD*2e}KN|
z$6haiT|1!+p1Ju_<I`=(HNzO)+LhY|<koLl7*q3O>2T~RM?j!$2#y0W2c)}uvUC3c
z4LbG)D>PWe>MMc7_e-*(A_(rPM<5@7`7Acr8Gjq`h2wgX+#WI8f6xelyaFBnhB9>d
zMonu=dAU>n136>v^0xD>fL6RPY{vMh&t@qGBsF&<ZSW**qoSiH{Wk>?AIlD@bK_(7
zM(YE(p2-DOUXa=v5px^qV2G>r_^WGJj49Y?Qhr@Bbhc0)Ypi?SJ3uqgVMwGjNJ*yx
z;eExg$)l`Vwl9*xK=P!yR`vmvDmj{fn!2JropZ!Mv+!4~B#DFBS{8WoK^6h`E^Lj~
zBHO>meq1a|H7}#iuem16;fMM%KYul(mjZ``=fClDSy~laaNN4h#1)17$8mM)$0+Rm
zL@2E389zGcXXXQJT5f4+snIP&dim+yvnA{j9D9Sq#+l^5Q%tAyRTdU*6_=UM=;ti~
z->QqAJ7GF7x1X5^TuNFZ#k<8BVkFgcI=4uZ#0oukOf)t7?AE*JNGIE>if2~$qV4NC
zrMZSiNzv@(B<fL;oPms#-s_YQlf<j^qp9C`R#dE12g*g1rW%-ikf&X+SpecC^;Q`S
zerMqn?CfudCpIa4(PHkUC?3kWej0Yt5dHA5&gj!?LiRV8viq-hC4_7r^{G4nTr+Ct
zn_bd`bG_Et3AQlVy~(}=<;X?sT<qX>2y%d}i<8cXk<$i57Px;;63>CtrpbE)E;a0I
z@`&JZpVghv<7E=T17M5bhhbei&7DVO!QCnjsVNi4zx{li1z3Az6!WnG2hiqGvMJ0b
zo^VbV{`oC+^FTu7lO@Sle?LG#7nI&>D~?rv5%cm&>Q~N{ZP{pz2v1ExOR3IU0W~9y
zo*durDBc&!dc5oY7TFKf*V&z|k`RtC{AAV@E*1ZDkJWOiJQQiEvF|N8daicYZbv7w
zhtGukY$K&`@WXaZbipo~<B}!OAu*c#G-^XrU?z^oIj^DDZx$SQ9DjWi^%H{_8sWCb
zfo{&gTs2LL(0<hcjV(<4{vm{fgc7dbc3?6dvZiyl3E(_WeqYtdQ$$+yrPH<5v@?yF
zE*^eY;ZRgBH;MlGEVYl7Q_4m=rt2Q_?!#=C4Ywzqr=1HU9OI_3TE-?NQ4gB$>t^A)
zl!|f4NvQ8R8D3q~Qpsv7xvHFRdolh!L8{%VmQZ=I?G0R%a{u!T?f&@R5$Mr}pAX6y
zZ){PG2$6Mvqui#COXj9WR9!Q&HPzVE(3KN_55?0s>3on;@ZWoVW)^AxPb+${LVvp@
zTXwPWE%1CgIXgE&R?aZ!@j<t8UN?3td!c4KcYJVu+k}tqTmvzBGmL}P!5Qe60K)~Z
z4WQQ8lzVx><2xrX6Q;3RhZ7SXs+nRUsVzRbpYt5a0V^EJb0Hr0-+bRTgQrc1DCfLB
zWzI^=<TWS=476d4==Aiz{&e|e5wGvoG9QY19gWdyQJuEDCCN6@AvWXggN#|q#7br{
z%aO{t)skyLG3enm<8Z^pZa+WwM?9tc?&(PuZ74D32lqQG)K9b%IRa@$Qt%GK)K>%h
zQV<Bw?Yh_6fOZosIN9=-An!0ejW%oFae_Eio`>EBiIFlpEj^zUE<SCMoK-Dqg@@%K
z%yb1TYVCny1Fa2!0b;XjK(==BMTG*e)kMqoNpj&K`QBEOk%jf8E!#9gX+p%RA#LMS
zpoJ==yc8>OKhUs;LMa2yS6zWT`<;07p{Yq`NZPoV$Xq=&nN2N<q(Q1Tl<8uMHd7HP
z>RLQ*z0<@(p_IO1`Skc+@di~AyH;$xU;_0exi#)roQwEeI0W7N|AnqcCmaWue{&e|
z(mLo!G!>TkIS;F#rKn#%Ck&6_RWANv)c1oXeb^_oP!!RikR;XpK_u${JSs=LOIL$|
zS;P`dh5~3e7?9p!3qcx-6_)EQjSm9iU)S_)za`vMB^|p&N`Nx|7*t<lwmtZXnMk{Y
z8pTv+&_O#C_!1_3hhxQ8rSc2U&33o1FSIcoX|c11k=<LsBTobG)uf;PO=i=YH7Z<u
z4OJ~V^E%HcCnO7uJkzgjpYUsnFe|-cSI&8POV5+tB%L<G%=d$LSLIZZC>XrNx#|;7
zJXH-pU_32)36zMPc`bkb+8lkZ^>Q`(olKe`3^;p`4k#l|oLw;8OTp8!C=_Mq6W>M;
zdp!aAnIG4Or5gmE`Xt5_!i*`MAWZdh$d86|v6f{dV7Ti2gSCNZnIX~h?W?1)hyMjl
z$lzb^(2sjN+>iXr{E)x?s|~4<Us{0_&$ERm6d-h*hvO*rqSv(kJApkR_6G054lLYa
zZ|*X%VCIOQqba>W@}f*U^R6M@oz@tY(n~`6D`t4WUIgTSot>R<KAr7E)1v%rMG);s
zTH1D{VDrA)=6<m=y_RBy8;<wQAIXcYti=$qaImmD8{5TA(oFNk*qGELilf5v#(Od*
zD~$Qxx%s3wQ=LBI4W!J8aS(F0FfBn(sVs?hJJ)AnQqhd0k=<9<h<>Hni%5%!6`N-n
zNJ-8=rPEL>DWFj*8d)`-ScQ(Q5rXyh_jo<KarYn8g$kh2#ExOVuP9__a+3dQ5T`oR
zS8lYLI~`THa(KKE@ZGBio8{PP6`NnWRUqO{irt_aDTeGt{{H<7bv%4=y7Bhm{{6s1
zChmo{qj`RZn{>8xddddW(l&h0h3(V@E&&y~S%;1>Dg_!|Ye-$q6(3$5mRQctD83n{
zrIIdF3%>{(t7rTynvPE+eyXw`R4X{k#>&WBmzgo$@p_M6!*}!tEq;wb>6Q0o%0%v7
zjp+vtZ>MH2?8ps!F^yjyIZR24h_cSh2<?)+i%=?)k(2-2f7p5!uP?{q;p{Bar^7=Z
z_f<o|XObl$?F$|vcz(Wh<=l?5xb^+-+cam^=fw{B*P;`Dpu&oH(%!y<T#}ndhsgQi
zy*IG%-3W!0rMyqXIBDF;+eV3{P6qQ%3Dw_LOmui&UsW+zZ2QlE)&USyAQ*(1VU43I
zS#)QnZug`vStkltU@6Ke_M3Kv>5aB4Ca3tMgn0=pnuzB9N&F-w)f>KN9h}`<laXw(
z#gApi8M!(gK8E2NE<Mj0t56SibcaaBz?r*nh0))6mgeRNl~n(WYA$&%e7kSUbU}W2
zV|)8*KE-3oR9)^XSFYfR|3mS_f$tGecIfZDZrr})s<<l7<*La9eitCUw9H@KdJ?;c
z`wSt{E7*80hzbe?h#odjOd*6I6dInW*T75tcw=)rCRnb;YZ07>H$OZ4Pr(SSf}k&j
zrJmRgn)D2I1!$$7Lju)RR=EYNmp2SxCi>n^*Jw(e03Xfpa(#4W?3_SZc-2bIhn<cQ
znx}B&g-B?$cK2mA#6INjqA_26p!>k>D<|p#YF?_{1}nCs_zsw6U8(}b$1iQQuVlJ!
zh}6W1ccCkb+^*E0RQf9$iWQ4@_^P55anX|rF_#k5dn!FcSqzQ;Y-;l<;Vz@K+3-s+
z!a&fKn0W_%M#rX9kp<Oh%VAWx@h#atyOl%&`k?t{*ZgvX=x_Ivru<EcPN7>s2ZIPM
zH?UQDbKvV{DZ<t~;)tO{+XUr0GyM0+<0hN!H}S$2QQ|O)=a!WJOW?B@YP^B&*=U32
zdS_NcdDEPp#R7Fz+uJ*q%Lb8g7-ja$qvH{msDxuvd0m?uh20$Z4Ok5Pqf}LKCQ>e$
z$7m)al=N0=h9EnORQ@r!pcA5XxEZq4ustN`KJy1QPsyM2DXN|cI_$Bm<0dknKENY0
zH^(A1&m5-8uEaZWA~xyQ0D2`wjS!Y@K%~Rkq`wi~gT1nFH7Ur*nEn}n9Cr=mVE=BO
z@81Ms>EY4ePAnl;uh_T;aBRqNC)A!$u~~l%IskDD`2()}lkqZadNEeV+Z9KLb$L-e
z-!;fAR@$hjti}zy`*+<8`x`zElk3A00tgWBZIHwfD}I7HXsD~|jo9TMbD<H+0vEH$
zo2rQ(Fyk2YR&&<<s0#=*Yq;qW>htxtFW>$<%lq0FRELq`*tc4HA)+5Olj?bXqHG6T
zmQ5xqdfsDdm)_X+@DmH7$jV);II5Lhm%MSpf-x)y4>0#yHM;(BA^9VdlMT}6rZpki
zVk^Q%?0t-V#*X`!W2a>MD?#3*zxO`XsZaR^`C`gYwj>2AC@AP`|IaQkTL|XrOZCam
zMTO?}*^z}_%HBiXXiA8WxUnJIFtbZN=HL3BNvUB*Sm%qUlw1n&a9Eg@B1~5Nl4yPz
z^U)=!uSDsOsOxpaX4eLe>wGa5&7bPHKkUCE_WD_b=H%<?vhB;`r&jJ4*yMb#TfTK1
zRME#%(Re~kAWbqxOawVdD<5xUj#X<N9$unHZ6oR%n!KRJf(vb1>M}X;;r(Dy;+2M1
zz78+y-Dh{!S$}jZK}icb0_fn%2K*zqn(2dG46tWAz@J4<pJGGhA&<2?iQ*7c?K@rV
z;cx5pvF5~Wi1QGnCC!JqkxygJ{QIDT^_q}newxOokjr%kdSW^I1A<8NFSz*3t!m%F
z5ey316HprKdvfLG=7Qt9o^lD~u~+Y2x|TmY4-P+A<Bb%46pCoMe4U3oU>>s8prmhv
z>0dR-X>ULT9cX(J)n6=oKV0rl5B<l+y9_vStkkyLdN)>EB-7XWu<otr;EZgC*8&r<
zlJar~B6{CBO9BXecp999__`!jRaJO+cn@+Pqx(S?g<=i=oH+q<HBv4e?WxXJf|Y37
z_zO-vXcM7g^y31Q2(Rny@%OaKmocQTt6qXO3uH<G*PhKgh`%<WJk`wLvnGva6vm@s
z?%}=k^d&LcjF4%PhKsX*mAX|0goNnfpU7pEEyT=MimCrOy!WquvtBu^XUjLhgWG<j
z1D0n}UDhWX|7_xq|9Qh(OS@7aLKg6UVgfdsQT)9}GQIX9)f<T&9n2~&bYw0(Qj{8$
zFSo_?u#rFEF%(j%tV^I~Jv}-3*~a@X{5sgEs&*}wy&M0#q|`4$ix3^K=vY3!z)nJ-
zmL`M3#l`V$zd!zilqg)cNjT4!37E`fA3r`ijGhvThY~Jf%d%y-Kw5t-W_aK3CvXaW
zNLksr|Nc9&r`klKGaUJsTuEpxT<MdO9^QwL<2}evjz&WlC8f_ku4^gk;+4yGFo0=2
z{+V57ABRoD`;PbwKLR4-{m;+eK$QJJEf{cv;d~kjr`BU^+gUy__s>t@hF(wChC$?~
zYYMxuFiwV}urzSQS(up#!c;2yu`mS?NPmPK5=&dPv$KN((3dX;9v(H6OF#~twI&UP
zN`VuO^89goFuBBbfk0OaK}!e}&GK~t`G9UzfN~_fXW$b|U_fV(qWS5DG#)Celq;=I
zm)qw{k}D{M!eSs#;$N_Irmi-xxE|o;;a*Yk@c3ff8$9=VdD==yup%OtI__(9T}wp;
z>$B^oUJ)EPDA(bEC_lkBH|}aB#;d+Cyotxh&P^Sg>tKJ(qleJXH#|u1-5dG&MS0$%
zUtc{AN~-D8=BE)aXGLozEN<m}AeCd9b~=vGkdF|C{tB2OPQYR{3k<U#bVq~Pl30~_
z1WC@9ty})DiLg~6M1g@B>hG$?wU)dvUN-3a;IPBO3<p#zPIS3(h+Fqzl}_21Qiw-e
zN;E<#0wWGc$%#Tg*;ZRN^Sa8&xIX>nvD7$Dv#xf0pso<aS_)V*Qn8pQ`i*$K9OS{n
z5UUbBp|+$vHoh({Cueo{?zTQvQV$U!p{5=iAzg5Bl^<_aIj7dy0@Y2+yiI;f7E09^
z9K}W}a@wO80}zt3dpds}3g|Pq05k6pH&L=5aE?2LhT9`h4C|#&0L{h@)_ttq3A%dC
zkh}$6knPaJX6*l%wd~OaN;Z7Q0Z0#k0kM=$toH*17e4UFLtq6omSD|j1zr<2eKNL&
zlZpH$*!7{s(>q$CgKZsFS*8!(zwv(IF_t-tgczRi=Ikc7b?z!LGcaJ&y$|7#{A*G4
zh12u|tU<tDXQB5Sn1u9pn|55((Ri6c{mrCyj?W4|(!fE+9_qK%GO~2nrQ~K(x}vrq
zKF!iE`wy9`4$&SARm(2%xItm4<nguW>>t;6%`?Ydvj6*oSGJ{~?GTRzNNVgNZugov
zO*v%JsEc3hDQh-4Yn(g*7)C@gbj|5x|0NX<T%O{;jvw~><*L5m%kv$upC+w7k-8uF
zqsnc*`Cym#ssz*5eB}2G&GtEv36KT6tCY%T@L_%gQ7KOe^y{(yb?|Ip)3>2J7#gyI
z?e+YRnCduEG>@GBI}9Db_DHeV2W)&jbc$96p3cq9L0gC(8-+!=<Z}0P8m!?PydRnY
zeAauorb65<J<q`{&AM=z4O*elYbllyEB@_qv4#jW)R@dZ_*U;uC4a81LmRpRH?o-8
zfX^y-d8n`AqTCX%xLfEt+`#gFhmL?PLg4tF{q&0Yw`D>+c0=|z#`UFspMKWY)gA2?
z!t8f@{n3DyS!6ARq!1jr`p!Iiq?HU))1CpdwF<i9a2LV#nH#w?Alz=7ISkZVtUs%H
ztH}kv1Mdn}4Y(y<y!Zh=Fbdpv6ht=_jvZ^*Sr_DK)z~7wSw+kttv{@cs>LSP^y1v9
zYsEb#timzlna(c8m7)pM91gcQ;&zh80w^YcAK*{f<8>1C^_RN``E|0MPGG(MmaO0I
z?%KTe_T;_6aT*Q&^F*2>73TeT(V_Ryv2Ou{FR~pxzn|U&wkhFmXm4B%*=d)TS=m2^
zz=Pe!!4k|c0>MGBvk{>}8w+Nyreh5wSP%;N#(iA!Cr|-ijYv*Ao~84Qf5Ah_9<*wx
zWk{*z?==3<fpaKTIMemMsD|ek^$Uv6MRI<Nkm&lP@4nQyd@#_mCCHs|t1OZ-=6&O9
zrK*;IP=#y4tq{<2IPl-B$EQ$St^bY`aIP_1TO-&V6pY<Oz1IS2g$e$7todTcZolzm
z=e-B6!&&is_v*RV(LPqRDC{~jCt~`BN(EDQc|B}{oxLQY(8|T^hE^#DCMyC}gfB)H
zshLtqQfQ<~NiBusZ|78R0B_(rE$J@$yBCwH7#RmkQc^&o2$`Mw%eRvjI3tg8khUi;
z+M69d-$MT<T-b)!*3fcL1wCB2gd2bpS>4(KXwDxjwiklk^ol*ZA(aT5Z2@(1)%p2U
z^Vqkh>J87|F58bvWhpqfms!zxT86c}GjYr_UO7j+dOM>yYPsBMH^qFOO8hk_P}~r^
ziZ0;I`sAd**&AI%FwKqJGAh79b2ue`cvpkmyyn03ewQ^iRWpUUEAwz~sFUGvZsU>E
zD4m`mMmIL=JwlATKiBDV$W`7vBon+{Ka^u}`}Y2$*4EbZ-0hGRtX>0@U6z}qEt|$6
zW|-M-uN?MQq)&{7YC{9m?!M^dK`Yj}eqPB@xJW~ZV#All4MWrf^nL2Y3Kb=3pHYB1
zvKU>Sr>);S`x82S5c3BDoRhDywqj)pY1!iCBmo24>oKh^z!?4spULqo_!@`g3$SXl
zfY6ly)B@HQ_nyHhJUg|m^*ZdH=RsTFrRf&vmba+4);#MpZ`f^XrjYd9*|icZ!GC#S
z>c8)Zlg^CFt#FQN!o(l3R(#A2#3&(UiA|jBKKpl$qR%urFWY?)8S#ldex~-Jmsf)Q
z$;j+%APJTKJ&Ln;Ll3bDxIKy1`>(ORaabfKzup9;6&AAwRr~!bH!8k6VLyl9Fv`c&
z9krY$I%#3(ZpJ!Bo3OA{k_;K+AO&PUOiRl^$S|!WP%P!^C`yqtTxawCS5dMTMg#uf
zhH&N-mzd3=z5lv!lj-8+ecwwC6-J%z27(zk56bl){S?h-U}4$X+_VN5aaI;?7`CR+
zxqC92kbe#pDmGW*<AE@Ca{oYKKl2Jw#azPog=c1RZSqkwQPHpWI}L~ckINJ3;*F^8
z=@G|?!$yq7V6SsfIswhZpNdV3`1`u@E}4tYl4)!x_tlHR@;oK5UfnYkpuII(r+1G<
zD3-cS;tk8Z9n0F**4*;pkL_fJKsCcH+eQDsGxDU%UrCTz4Atj2SB?R>uWCWl-<Eng
zls-|9gdIt^U7F%kxkQ8P^2FY?`kokZ60h1Tp*?8vYy$8Wo{mi-44>p}2^GUNJFKi-
z7&!XgKu&ReM5yHDD_2gjLM-fY3i6PF7z>_k=$xJQYAEdWAZI<f(#KaIB<T-~)Lb^~
ztR_uJK6q0of6^{NSD7;RkUZ7w`LPQm13#bN0LAD+Smq>mmVP-~h}<20m9kFI2Qrud
z+*@3>7&7hzMPkBF>~+for5hsJd%S;{U*O&TT<5`-JxI!CLvX2r#vlPlNf8(IWMtP>
zVrFgejckhSeG&k_9$r=jCr`R|m!CDN00W}BygZirP(Mj<pm3DG(F%B6X5FV+n_GZ0
zu!B^G`Q$g#I$GLWyU)~JBxam=v?JB9eh@@4NW%%z<=}vjlhe~k$`_uFr3wT#Y&PHY
z-8seIg*JTf_SjfkJBC2(4?ZghX#PBkLr!y5xOM`-KG$gFF2>lh9W5I@2I+CREe_dg
zB^Y`^E5~|Enj89B;i(*ByoEylw%&mLXAAqmx*g<!u)x&J%&yI?NLrJ*{jx!>vtCWf
zg+iLk{pvWH(;}wXAJ$2=i9K5<M`1b=)AM6SX91@G;(9Z6{nMMKH~lH`LE-aa#8slQ
zngb{7m*Ul<T&c1mo=Gk3DUw~3&1H1}H{5^Q;Jsx??Dg;LVUJgVP$5-0LPeG=PMI~x
zVT);X;4pN5YA;g0(PTO~lKy>9zLPtZ^46nyA7{Zp&Ti^Q_695JDm9Hw*DoK+w`%-h
zFO1&*ar;L4{50rmK+|R{3N5)IKWk`hOu71J)Vwpo@R#HNb02lC|GBavy>jhtmZ~Z)
zJ~7k7J%e)N=?0JaDqbt(Ca_wa>*vn$MF;6JWa)4G87%f+>gprPlPPwB15GnQr-8e$
z-WXhjdEVvoyt}SXe8WgN$%HG}I0W3fGOV(6U+YrqzW7LwLh&dn*rM9zJ_dXISE4t@
zbougo29Kq=$BGeI;jjio|B!;@?w0N0@iIzE6mfFOAM?vg9*7?KlNh)%o`Po{n7wdK
zS!HPytD?2JPUW?)J2AGG1JsC=9A=2w;DolAqd&<Vt0T<LnW9Sl^(zOCjs@?vsbZD^
zd~1vmr3DJb$(y;Ec<}wG-cgRF)q=T;ZkeT&`lvZ-qX}L>>R;NJyZCFJyd6$9)uh_V
z8JZy7v{rTms^x$a?nlkDaL4qVxAslvJlRMks%dZJ*RSP0xidX6QSxVCHVrH+-~MV6
z?@mW@p%i0@PHG1x{uFhF6#G?M7_0suNnmC7<b0R>%%QwBnmPRCvoHMp@=tseAi~T-
zp=(glm*BCNGBL@j@hNSkON^9^Oofwd=-^j)YLHF;h&VjcC#g^K3GrD6twcM@%&wU-
z4BUU~Tt55pdWt3l{^;KxhX~Dby-12beO3vkxp}2RxSFV4r_WE(LntMYzK;v{)-2Qv
z{qwXJwizKlp$GAv77W^4>Z-PkS#5aesl<7xE;r1dF#r{}tV~qUM}^%z%*UULbVk4*
z%5cA)jF!kA1c&nrxYQZOeCe8;@cfyX(XUt$8<rcdbIogzqGDEw*I&8d*a<fl=Ei%A
z&I+5X(y28nfn23FL|gSS>l&`&`%`+qwG!92RMJLSnkDFlf*p;IccME~hrDH`f;A%c
zFh3_F;Q_4pZ&3b5iYAkc@5?(i0Z4sw$D9WQB)Cjh2nk9=Dya~5FLT!vlcOl{+fROa
z#ufddOmCZKj-VX8Z{%G!d3I5s?Vd}Q{PC#$e|Ramw-!3BABMj@may3BkIg9CJ3dQH
zRBHUlQ<D3~13+_@*B?`du@`l<6{k`uhM~#_NoHTc+c%<AW%u|O<tL6;gYYz{Rhg=^
zu`ap==1?wO`w&w(>0E!?z=1n{kBZv$#1%u}hZ^2D#%;YqsocS*vzP&szxVX#XD@BW
z?NkkLS;cvE$x~5be6%$@4N-6b$Xm8K?%C|?xm+XFFH#)d@5tJbm5i_Amn{0^!t&y~
zj=(?>CX4nWDTDPY?d0?(vQrLFc5rxm8cm1tWGjX-f5U6#STUw`(1Gr#v@><h^Fu;Z
z0nc+{dil-Yd?!MW?{3OGMum6aSIGD`qrr}2qAXw9D6{XY`0`X7rODvLtlPnxFybbb
zY((pD#TXX}NJitL?mTL_$fd~}a55M2UPSxt%N+@ZI2PL<+boDtWtl&Pwi93aJzv|T
z<?G_P+!+M2o>J@aucV74wddcIY0M_gOFL71DEfXyFzTq1$W!^o)psw*I$z^hm9M$}
z@V<%i<a%=UK5nnsNG6xXojJ!^)-2sY>EVFmks$?&@xwDuBkSkQ1ZIT*iXX2(m}Psl
zUY?nK-onFS%+XMQkUj#43vy^)HxS0JP*kq|8FPu{?O3P578A_tUVL1;H*?45%*dhH
zW<P4!#a(E=Zc-|fPdsbzKBa35qfsMU4C`{@nZ6<Bw$7xVGI9EEXPs{`te$JyHX2;i
zB)v&B1lg~0_PDCNIDV0|Vt=jTl<Orbk}{kl{;&6}Yh;jDo0QE;6>4^kB@-o>gP_0u
z6h?;r1lU`StW$_gB?)$>H0G}R>O|iBA}jVH46&+WPq`1xjhk~mxm?oQOpx1|Q-M=f
zLuq!dcQmE4`LiyvPKPWl;eLBep_Xt)9D(uM%;SOmr|H_u{uKLnXax)BW6ycxyj`f2
zi$-{;5Y>GNl7i0@F~#6<xuolHUxZ<x)>1k9kow*%R}n|O#SN}~4d^DCIHb+SQr^29
z)j6#+el15x->!Nn<a(7u+6e7h_x|9TcVkF%bU9D+V@qXZvUg?whyF>=ld%Ko?B<LI
zeXr_R2C^wWtn4HhzfMDwvhkEml6?ja98FIIvV98s!crowl{4W4yX#r(lUUUveYb=e
z2c{m|c#_Vz9=}eZ4!XQ};W06BJs-+3R=1g!+0GA=o4wRQCY{QL?$K6)lA|oy?z-%L
z#a@k>L<i63UaO<+8m+d}hi*h9qn)$-2b)pA*p<Jb>b9F8Gietus;G~q7w=61p#=g5
z%_|I1-iLdS@_nkiEaa%h<n@SgP?%BAC=#W6cy2RuYxi{HirU`M97VGPIXXIGNAT^J
zdWhLrfY^o#gv1V63I#YstviPXkFNPbH2coCN7oP;hC1m0F3K-<x^KUwT%*_od46!c
z3fRk`rmVMI%y{PDAd-pI|5iTwx89^6BV)+}K$5t~tMk~s8mJPWpEwzxbCX)B85AV>
zaJfTLj$e@3XM@Op`vM^3eVs}ER+lZEy1|^bgGEqug17L37$@s!*hpAHaW||(e=b$)
z@B$yOV#3+{P9B=^X&3mQ1uivDHvphvXQ5r0&!pVgG6PYd)E)b^wnlQA#M5jP*cXj2
zt~XQnoLxj!mAAz5MIn!@TQ<qr?vEZ>-uVgECHO*8?g$hNuG@5U%Dr$nDjIqD4+z?&
z_XcWVk8YrvrUC?ZIl5f;g9wLo5sI~!Oy=K_X1%4n=R(^=#jHp-{1h|;JDLvTg-u59
zBa=lKg%8NWdCuL)L2h>j9E05d{0Wsf?-5P+ZnjCMH$RQrZqQN4m(&{*c%Bzfo|!`)
zW&8W!09^NOIbRO{PEA=1@84%M>gA+F-O@~te@70j#p^*WQHCw8t@D1?s^emMZiz-6
zsdcLE3i?lCRH>C?;*R3HFZ?>94ie`IMrf#%q5D)j^$IM3D^$t?1JnLvi2#YyF7aL}
zSu<tZnSPAIK@AprNIf_po)B|8|M&Oy*-3}l{7+fKExJXqTbN#%FZ@PFJncim5KxY9
zr>l0Dtv=Ys-;f@+Eom*2d#eOpy%9z86Rg>#jUV$x+3&pfTr}Q|5PJA!nOy}zq3{RC
zhQAK80;y#($I#61&Khw*_edC(R*HK(E#qV?=ZGUMic;9>VcFIxPe1uoJHEmztNJdH
z>kh%hY*2d>&bVA)gYITu{_r^cqeYHJW7E9g+BdYtga^P$aFs~w`)}}at@m)P06$~G
zdYBVm<>OZ#S6!)fsdszB<&lVF;7UYoh@;ws;(-M;Bmo9#Fi?cdUyFENnyFnf9^LI{
zsI!_rqtSJk>tm!Whcd1-ne>Zn|BLZy^diG?CrItfT*tIjl#Mz0(W^IxLhTokq&J~|
z>_p$Yoc%|Yy2?GVxEoMF5Iy~3WR>=l7I#{sm0*rDwK7Z-kePR#MLIxwPV2LBdjs|A
z?Qi9XMBWPaJck$d_w;c4iw=)u(S)-W@843&f87s_FssI&KJklY>Z)_?^ozrDwPH9N
z?00|8rZ^IVXN$U&;>CV->ZT&Gg|+pgM?qSwo}BSv>O0IYLO<S_hd&iys6f_i(DxgX
zp#69=6VW9nC$ES-aZwD*HQ%a+!fCQ->D0RLP7TzFfnQr|H!H^@zdWSGPy7*KR2t_k
z4^PqCDSN*`0gZ>BG*obL55xyYG-#rItpT1kR<Few)1->u&s(1S<e(D_mdY{9%MNUx
zjyt-TWr+3w$Npt<a<AFL*wq=)2#XIxf-*s-uIua8KBFaxg2$pv!5i^N$nej}oph
z<kzZ%%;yI>L<MJ?<^0UUM@_WcZe)4p0J21vte+3(T;A#|KB3sYY7-wx(Guiez9fA0
zhCk;h$-kvvaZ1aD-VZMhKVd7FA;{%m-Hku))-o^2*<W0=6&J57VTO{}WHo?;4w>JU
zUt|v{kJZapv&IcudB_)TR(-X^7jE;WYDva~%oF3I1x;r%>SUO#CUooC@o5IKGuoKb
z6UBc0T2@i^Xub?{$K0p*Qkp3_4<7G*KJtrM|KF7IG1o)aa7)62BmAzVrR8}E<-JZ0
zvmg+b{%st7<SzRI?VeC+U5P|r{ZLVe@qQ#Q06+;BaHz=3D^VH%p;lAik}Oo+H--i2
zto5q1@ko<t<=@@lWA35S%2?jq(ZWSFT@a=qC7F50pB~r5-%6*NoP9TI{+m<4LQX%k
ze%E2J{^fQOw)Ymr^S_nU8oBkxAf6S{pITD3jh!{i#-QdCJt#+57k6JG$BvKXw(yc8
zM?VaUij7>GD*4E!OY<2c;N9|Cea%}W)7WK=Zu#V60&*QYO_DwT3!|mdv9+6Loj1S#
z?tNYU4Q9e8AO@XZMWyE!Zorout!KmKdif6AIALxXJx2azkS`EAtk!5n81}AUub(bQ
zk#ngC`5J>rzWA?7EtOdLoqTIhKi_S>@cB4P<(ltud@b|Ag6f|6VQ;jmZ{ZO#z9bjv
z|KrLt78aABjz_W=)7m#8gBy0uFU{@MudvUUAYE;Xnn{ySW|)mb3F;&4EGqXr6f(G>
z<NWnz(RXVg6O@eW3YB%J?R;Im#hNwIef6pqCp99uM-4m`E5Vs}%n}3%JwKq9s3_jt
zT0H%?F{Xp#zQ@+7h^yEpcTvKH%7fTO#Px2m>B!xSxJ%>$P)PXj1t`$L9R#7k&?j-o
z-}4RbB;s9;C&+sC#r-u|;YJgz)3feC@VA3CC411l=I%#tvkQ+=RE9IZ{N+)*TF7j@
z)QB%{=N;b-E$7@Dn5L%hw}lPV8qHjNKK4U5(#|CG&(Pv&D4eKa*IaiPsO>oMG2^}&
zV_q|PyXx8YDY}0#`eb;~+ir>?=c(DIF~{zQY74+tyVvZx9`QYW3g{ERrHOrfMQu(D
zsx74_Y9GtUZcdS`{Eo-NhC*2TCVbSQP?U2gjSerG23Q||3t!%n^}4lO4eLNI_p8}i
zN3o7SZ=!6A$JSsD;~<C+yx9q7@gA=T%DfdPH)hRG`hmIX`JX3$H%X^5%@k3b9q`bS
zMk=#?Cr-e}2}d!MC%{e*?er_sZ@p_s&VToEBh@Gr21n7{RK*a%Y}5_n|9f)vY+;Z&
zy4J1U(#^|j_elR19?Ir@+T}#Khdgiwn{5tw6b2l(&`<?|yYvdw`0ZaFNz0oaW~ZK}
zir8>V?^PR)i5+gu1~0o<uf(qc$rLu+-M2oQwL3G^R6HE_bMiu#nG~Yph3gHRC1G>{
zt&|&i7C7IYBM}!=Nfo(fenXtCP=V?-zTkOM+^sh6Luej&2N>@DO<Zc)f_Z7kJe;JS
z6BFQ1AMb(@C}4Z;;OR7_mxDuzF`tqxd&nonU$uml^&<6tb@;ewrPu;!w7_=4kGFep
zBZx0!0JPan!VH{p42znS$wK<s?za*<*t*RTAhQfUJnx@X#8%IXv|+Aj>sVYRWdm2n
z-Pr$71rlxi{WG<H5uwG|+Ux)NtoOsN9MU7Z^jJx5slGf6R$32kx7PdIcoYpsI|z>J
zxhuE%46pfDA1XX7^UIv4KJ%mVzi{r)mAF~G0gYW2<YB+Zg$BWh8{uJ8cKc<>S8};;
zWlr=NqfS}Cj|+xStj09TA}hg3XYolt61Jx5Yt*rMd3lwaxjxnnR)YCQ$Bom}8D~o?
z?`c=Z)fVE?TBUmOY}R}&m+v2bfQP)Uj&{=isZqE`BM*i+-UhAzTJOds=3G`opRmc-
zDr&#{mvZ`N)w>R5RVndThVzjX9gouI`A?-Tkr1=J8z(K1%u>!z-&<&Zl55lS;e(Z6
zhQ+RZ(jxbBeH?jvu5&9no9jMzJ2WFSV3)QMY-qWoMTrlS@dR}aD`GbbQ@-?dXee1e
zzoh&M_VV$vGr*;!2S4s0EoLhnNJB+Koii=m5KO6@+Q(T=RaLc*eCu}Gi5Rp0<kj`l
zEtbUNYH!cP(1rg;(^myl)plVXLO7I!NH-{;bV!FtOLv2Gch{yr8j+GlC8Uw=mXz+6
z5^0d`dHHAN$_u%G{q9)nNeM6AT4Fy#z*1hc9QuLTIWskNjw=L%`YDAVFQ|NaMCgH9
zwfV<egLiaz4VBmfER5~7)zz+R1r}-V%QTxN|6z659OW=CUqb&o0r2}pPYezY_8MkY
zz7EuHY*y$$uAiZDsfKv(yN}x2MQP&U4&U6L{$0EQSGam39HxeZxY0q64ZIch^DkO8
zishTVmkaw9&X+rcj&xMu0OtY)NAeF=3?BIUkBWQ>6wk9g=P8S<=1Y&fXTONVsE8*e
zUrlMVrL|8FU87*WI{xza?r~AFSoFYJOeOYIPxr1<J%;Xvm6-^x#?!TjmP~39sPv2p
z^L(?l4UeAHP=VZ}M{(w;eI4j=*AQgKvm)9sR<R3`mb_IbVD^rRZ}kAf!%kx>HM7H;
zbO45`CQXRKB0%|LW^}y?$hrYanq7>f(gy-+<hr2OK9kf*z*0O}@b9cy_P0lpudv8G
zFT|yvjSR!}c~8o>Q)!!9ydk|klk0RfkBv+0pt4FL={~V5BcWVo4u<fyyM;D{_5$GW
zDP9V&hz5y_+1IzA1_lVvJqnO+vv2#e_lBJXV%I&hdhML}eA>j(t1*`QQ(meTCR(Ls
zZE=%e;Yt@YvoFfVx-;_L?OeSkoJ51D%`GfeF8i(O`uA0+e34-T(sacwSL4LKJWsK)
z4T+b8Mv!0!26<i0QP0Y=+B!--2A00IwTZxkq_8`|7XmSm_5(6k&>;~yoPPG%e)sJF
zW4O1GBMdPs%+AE&^xjq@^u%WFi_noZivNu2F}T{rQw)K^UCT$j)WyWg++hBtg2{-#
zRm)we*bP<XzWV|aes27~C<RPK2oG+X9+G=4m0?Uck;!g{?FltYiRfo<uxCs8<-%d&
zqlMGR#k=9WZ{E0X3N~+fah@^C+1+bXbCm^eHx|8|J22Ls26<@OR2Ib+)wO~D8_eE1
zv-$95j}W4VrY500%Nm7fM2X(Y)XV3JjHi&1kf=PddA?~kXO8#)NL-}$$0Qu)*sI5X
zuSTGIz<tjzzh{`i&mZvjIT@e~WJcZsUzjs*A$X8^mA0-;&B9wcyt$*d+jTEsys=fQ
zm>>}kj#%DLI+%se0S|JVGi~}g?!VVPs0wJoD)F{=ve4Ys!|Tw}&GPdS=Q!#R@TRZR
zD3+j!uP73Pf%$vLybJAoYD!&&L@MGWNfpM1-;&*9C7gY@z1=YMu5Fzf@jw)@?b(*v
z0Sg!ysDr3*#Kh4oOcO}gNa9JZH=VCQA1F+ze1>_2R%;d4q$`t9jH<&I8`#CMd{zM5
zTmac5yj@&p&vv2k48%c%aj8a`M7k`et{SpN|JDRfE*Oj37ftshwO3}^8kHYyxky$i
z(M*_9<$$KJi|tdtDP85PeccG*&gwB3Z>8zDd3nDR*f0z%)C?i}TUnvOfJLE>*WA^$
z+9kL084JqTkn;!el9@Co`;uP-1)6_8LkhI|lBHUNEN6Zqsd8nkFK9xL#hreJ`jl#<
zdzv+BpDvWv9^QbW=28UFTAux1{N}G_EV)8(NbN^<8=u0`6hhnj`?xZrMZBp5CFig}
z-H;rBqNN$TG~Vq#7y-8ekUasgW_biDz)bttQ*TPDo+Z5E8BgcrP>ntq5+MO`qP1=F
zIRRi&C%r`3k{C*jvI<<62=wVRutHAt6l|qd#s<;m45!R_pl3;Xv~JP8iX0hXHtC2_
zB+V@s!_1iIu%07u#?6n8+dV9M*40Q&sowQP&fc4RtEX64)W(;+wf7_KTti^;UZ}mf
zu^Vp4w;HoN9bkL`p6g!d&9h7QCSVtMD8^9j)+w!RNvZc20qu_uyKVP2Zf@L3vO>2<
zU5^<Lby@uN79rWuzZP?gESi>3u$F3j(RKEH7o;sGbEtBvmA>%jC6*ax|KdUq(QD8d
zKM^E0Y8n5Xk&;rpnAC@h5aph#UA-k*IcMvgRrev-7|hqVN6>PDNcNd6f&;U@B*SMk
zbl8j@c}#e%9qL;cEZHnIzfgGX&^>Wn9)r?4ExF&+{>~F$VlFZA&?B6U!RM2{HkmLy
z=<%nyD6pPNy$%tjD%{6-M;oYbg#ehuGY>Jp1{sz88(|t*eXcaDxmU_T1kYA&q2B~T
zlfJ27?)(QuE-!&&fq$vNqCo3R&faBTAd-pESCp@$f_J)md|)ZCUs~qu4C+l62FkPY
z66-Jj_vUJCYVz^&0%i5yQDUlqgo1q>GOy#S-X$obL<#`KCjI^WfDjd+yqWF22MqGD
z_00v)4uXoAtwGQhl1Z`pG~%am2o5LorN-@5@ZgEL7<}bo=zH>kY^{bq3~q}M9+CBT
zd^=Jyz=dM@9y5+70TcEnWZ@{1TClQO>n#1P#oLUHAfK=5RxZPXo6cKRvu=-d73NjI
zAGo%ZmXzx*!T+4t6A#8f8zK0OM5bUuv)G8T)gElV1W~(N=uCqkA`C=xLOkoe`3#X?
z^#EGn0q@b`BB_aglb34hP`J0xt1!4JN6)x~rFuhzVGB#|Nhn#HecsE)&#sSXCHoBa
zrurPN*>Drc%3Y|MYV@`M;q!32m<&?yNwas$azpQq*YeJe^|vucGAWSX|LNtLKh8xi
zHPD4e=l?_`h!C%Bl|Q_J?!mAKJO(Az^dTTC1mvA2^}GhZ&IGtG0h#FuT8$TgdA4c!
ztgM*)1PBU9VX+iKjYD7b{{v+hk8<GqB*UvDu&9Ibav(|Yy#pGKX~3cbRl(-T)uZ4p
z-G2rfq{TeiBL#Shbi-8UmzM6@RsUN#Qsnsq?GJxCqk^m4vA?#1vn&;1!x%<OpQLq!
zQS508>X(&FGYz7%2And)nAgxAk}NqgO2Wsuu+XO8$K(w0*jl_pmbXZn(qWmwqy$OV
z;9X4r;GuzzskiN2_EB%b@<RGonGAl8)OLLDQ{Vvr7G>t;$+b0OFdaKNk6lpzhC#4=
zG?Fe<$|C?vsUvwwC?}HVfw`YHWl+DOmk^!)LL!ab`-cuQ&6|3IX%26$gb7xA`h)Qn
z6}qZFM#y>}{p<a)V00h7c!uMFYZ$BH#|NSioKu8bSvib1)ra}Wm`2?!9(b4LReU@=
z9<|;mXtMJ4`R{o*-LmX0ye3o9AfqhFk7PTI&~BP(*)Fg*+ZQ>L6yksI@Rs>r5VQ70
zqZnwMN_2w2nb_K;XMg&icxGMXex34um2w$~XQ03DC>#F;Jm!f*7akBQjPj~a%HA?S
z_xhKGaMk_bH>o&ahF$?|*yS2w+a)l!-6=ktDwZ!cxyAKwoj|ecWOwa;^#0B-Ezu5S
z2BgQigjNPORFbMn6<F)ei_(|D^Av1VrSA3%xytxgI6JLm?+W+)%8El;{^8BOyTIai
zvIudoTq5S*te39!I9K-TO-7P-Cf$Al{gq&3s4M>a1{XJ%i|oI2Co8S{z+*j*R4&YK
zprkQ-#6c?>sx$as9H0Z4Vab%01!C(I%3$|8Jpl|joVObd07O|zu$7@g5+Tl!`YXTG
z9)FX<{o$F(is$Bgp1W$frX3MQvlJyTSHy$mtU(VqHsiHiH&L8QER1=0=i^anH^nys
z6T)Y1!QuYjT9D^3-u(R)LDkiMq+IOGDQf*x2wL2Jv&H+AW~Y&&NA;C<qBz4G(I$7+
zhk%z!tI3g6a8UO$JUxueuGo!)Ocx%z6!zxFl13ZPXEr=<6~%%HFdypL21s=`G&B?r
zSW%n>*Q2J4`_lBQtplPh-|AqYZsY`rmO<-K;wN^3xZbL{64^ZvXeVaslO)Esb?6E8
z3Mga=%D}Jw0_*T&UhChnZvX+Gvjr~p^i?5eaY5&eKHvuQj}mdwp8?9O(wW`IHmJu!
zIYX~@4Ay2G1K$vmm>%eU3qouMF}Zh-4N`UXIXq}IfL{jz`h{W^3+J7u&Tfrn<zBmS
zbkTIzrIvMObT#I46K)WQtHITu0hlbn<^VQUpS8d7K0zu=5E)1hpQDFzinLWY`j&Fd
zh<Y6>zDSLFDwMdpt=JEv6m-7?OG>EN>gEIAa+!2NAZd?zH`|yzrQhKl&{fSW_6qay
zUCr-qy?@?$)kFIYSFU^0B#z?L&k)XjTve4>(38#kdB_|By1g>NHXMNPh2Gg>c1hFW
z?VyV)<C|fCdBzHu@4zceOO^ok$iG$f8uF5r+6sOmeeLhdTtV~oL)y!YUNq`{Q)eTi
zcDE%^rB~sFh5wRD1PliG&!c{-d!U!T=+_|}32GPDxo|<X!h?Oe2s}PM2E}`Z84tv9
zS8t(P=9%Z=(ze!<wCh)>*c5`ELr;#t67KKsKft$X@#ak{0&*3Z0Fg+>ka_XctFo--
zTQ&a-6@E6h3agI9BUHRr?&pAsoWrWUA}+9+2d*#(h*CmBLm!Riz;oR6@AKn(^5JHs
z?TqqUvYF87=)1>+>8Uquk7nIj=!Z!r>j)6k014?*(b$r2$VXq{?7_{>B8Nnk88>h!
ztizNmj&$g@OuU~=G9)N&l2E%Mc0t++atCNz-et{53_RV@L;goNlFf#fW<J*XZt2R;
zinwplu}IxX*_g{r$BA|#p&}|PbrK<fecF;sDQIEQlQSHrlUyvopc%59{j}xPdUzx3
z+}cl;vo6N;N)yzgDiSW~{8mFGruxz?UGYpL)%$mg3GA`JdC-C22Y_wSpD=C$5EjOE
ze+j3~ZE6xo8EhycU7peWsfI71JPihYg#?9yiS6p$#t(E;Zhq$GC{Y;jiq(8KofDH1
zdkid}*p2hOF)n6E@17ukNa=GpJ4Jyo=V*De#(G$~5K|sm$UzYHr%P!eSPqAn5@}w<
z+p3zsKhg3+K1zNI3=sU|KtxK7Y%ERI$=8;J_V|`m&0Z@sO4x$KUptanczN;ZWDoBu
z$ewW1_?dzn`x##w+<28V*}Q3J;<1`p3t#NlWC6^G4&s(%#7ep0i+!f?J4&2Jm+4Lw
zU!q~xR^%G2KW!ky_c5{JF~w=vzWCz@qDNV4w%_^OLX8REZSJ!AP!Ae)<~3KmbgmME
zcoSybn#12sNp9o((;G^1ARja=IR3M?wgyhg73lu^_icl0p0iEc4POlw`U)mRD+m99
zSj>7C<IgZ^kIa}XLO1{7C_Bz_xzh&0srDEv-3(JJtTS=aN5*OKX4W^8tbL~HUZ<2%
zBlADs=DtGv?0r=DZqBwg;Ug<6D`=GiliYclSbaFW?G}1jiof8I>vey7r645O0~%~K
zSyEKT^p){n<gVS2_f?iCOe(xgh(UxHpTtx6tqZ!dhyPVO#l$>4KM#vTep^vr4=;Z9
zPUCf{ersyhOuyb)uH&f5u@ixd86wM_(z?!Q@eH35+Q;aho$y%9<5xoaN(teAZ|=Dd
zxAksa#@{@gp}iXBE|3ag$FtEoT@!AEui^&xYO!g4)|#$1<(Sj9tE;Y7V@WB1b`!?e
zI2Z%li63%TQ%k3_z;vcSEFx<KBmr9|MPgY%%@ao2=(jvEaWVoDWgpEKhM+45==!)x
zVt}`cgX7<$964yMTC<B!#Ayu~hKYr>RK~t&&{%eHdP?SXxVpaP>e7FlP6opnjov->
z-|aBD0EpbMTflB(DWvh<)7kI*DGWJW|KGR9EI)?*>FHOh@?Vu<IIW3+bkVsN61~}E
zyLw%#`FDR=vvwQ#+x6wXlslK;1i@ruQ>rfBn+BYxLH{-j6%bc!-wba4i%7{QeJ^~$
z@-%v<Tds0lM94-f>=aHLy`vU43T7Dam!Uo-Q~L6M&jPy1EUBxjoANd?+YAvMH>v-S
zegU)Uh|{Pq#1fnYgDqdZN?~8pGoi35VGzP9=~zBxdwrZd_0w@xsTx;W7ETmmgY0MO
zqJa5teYKnv*FpC64BM#TzIWhFAPQ67Rpwp`ZT~Iu8OhsG+c#Z!7l7T-V^QRxZ($*2
zUBab8f#S1T=k<QbL{V`h;K~$^NN#>%8!bjTi~PEXWZ!vR2QWPO-Nn7?*8<<dT0uK=
z%AlF-HV{zX>xvW!hzkSH)o*Y)GkvY_p2)_AAWZ!QTxaOQD!)|Nnbo2<EPY99OTPK&
z&sv8RHXQ0GybK)TPS_z{8X&=@5Fm^C*$D~1i)NRn4+#SMF(NfGjf$+B{)}skRUc84
z`6Om~3n@QNWxuH~b&$%@JZZ3ZpUpAv=U5jf77)ZO-^?-b3MF%o9QNr>vSzZRv|2VQ
z#+D^hp#UMkdIRflZ|q_B_rHJte*gZ>?Ozi4m7ysD%-AmnD}hai0M5ulX^8O^1$rKi
z1M6D6OUvH}&+DC>XYmwbKy+=t<QqvglK~KvL6$(fKdu+$jCz(l`bv<-c^xd6zml=K
zU~j|eq}fZvpGkVjPjJb9LwJE}oc8A|nhd6u<7Bel;t8V?-o5y?t>rdxC|{AI{Mqr}
zl_QX)Smg_E7Le=lWIJ%tVAUN!f8Ar$RJ>nh$|1q@iar+XUI!wfmhnl0K~!K-UvF#u
zG4l+}Z9g9kCy#1g(qSZ478d_?(v`~{%{Fw{V;k4S{(?vPf1WouVxVdUh!zDYuy^b6
z0Kabup8HoxI?xAv<PHD?<v~ejwt<saU6m!MapWig39Rx^Se(dFR@b&`BLH;-)j3k>
z5-sC%>Ssl}2duGRl`U3Fxl3~l6SOm`FS1n9<X$rV^u$arjY+XDq{F1_8*VX}J@rwh
z($i6k2rt#ZcyY}<#@8OrIh4C!)Z|!c-2FL`W08cOZ<?@~$Df1mybotfkRS>;8ixNN
zgR0ccX;tX>F6~qQ21rU~PqKcKZh!*|_&@~QWCaBlUHs>cK4~&MasLRq#A!abk{|OL
zvdHQAa)~Iww}IX<@mld^f@zFs%(SJptoDTs>?6lGzIIRn+#=t~U__xBq$i~byVm+k
zYLU(9)?Hr7owy->HcH<(hqd=@iekg|-AU18p%dqvf(+%jCzGr{HNt)PMv){~H~&gh
zX))1&1v#pB9pr<gg}Q-}?Ldx)I<S1o`q9n<0C4~+(8SLI5gVX>NE93n7{qTu3^qtm
zxr2kcd4@c$<{?a2+dbIgV;p=<3Q!%l-oH#(jj^Wgo|^vezc|%eFQRYJh@#M&^!?pk
zz<bTD{OZgr4mrD+Ke@X78{ZmXXkg^6^x4i?ldiGUH8$@g`T0a8U$I7UrjSo<d3kx&
zm9Hw8KBXwFTaN!ck+oU~qk_pslzpIinusSqk=u5KB51AzgO}^z;NnU+Ix&l0QmiYt
zsMsd{(GAB*p1@uQqVTd^S%|YyQ1i1u6_YO+G-LTHX}-!LPDi<%VSojQ3o?JPMOV1m
zXbBxyZ(9-#BIDUrk?$b}s*u!vvfDTT&Tc@L16}9t49HDsXnBpAUt|$59%hix$d+qW
zOM6UZCC%9b+JjB3tpNjI*V5HlSpt-w-R~xnI0bRxw4#yXIMAORox#6xn3YDc@6pqj
z(2wE~MR|)H(O?{yNJ7*h?B)%UOXW2sD2RB@e4|ZeHVd^+#`>=dp9{n^lF7sXy(1u2
zcD1>47$Thu8onTd@7>8`2vioxQ^u08ch!G1XtaTNp#8rpd7z2n5SYFEK*<M~xT<Pv
z|J?XL5)c9_SHp3BdnRCZu5SF%xJ=OS-Ao&dz^C(Z^f}G_LJmU1Fc3HdQn&mSmr%m{
zh~DS92@uMdF%Ov@M=Kjvy+6S^=*Os-=2VL49-@u&0m32Oj9#{AuoSDx22=4mIS1n4
z*_Q&VU5=SH=)7~1BtqL-Soy~?etii&L+y&>4#5HV(E(5T&@e)L0F`VxIZSWSToG<n
zqtkkrqG^-0wXIB2^)-+-?!h#2`!w_L1Z3@~n+X8T9X+7mXmlS$<tC~TNc2W_NHxc3
zja7*p83!DGXs|^8V~@TWkMUGq11&gJGQ|>Ui{J4-<e3)G+D~5e0y%v(RBR&!Y)XlE
zzmMenWKo~NLj*1*C;kJ)&zuCs$%cy7q^#07IV7JyQey9(g;_ONG|7X5_@;=<p0j%K
zY4}5}-OODYl6&k~6vI}sh+Q_d+s@7X(NV>~Dv;-aF)HwXB^0aJ&}{Ag>umI(-;d2e
z*wAIyq2HkoAiW?|2P042e)FowISbSZRlVC<d9ij3N{l4MI8_@pp}|lRPOIuc&)-7-
z@$5G@f^9MD_9tJ#o~~NdIgz=nZfYrWX4xc0>``v~=pz3g)Fy>nUzFu1KeTM4{@4MW
z4J;{1vM>O0&^{Q4KIeYUwghKgURT_@R-#F4cvIW7r9nFR^u((1&XnEJ>#1!otPh
z4ZM{_L;fxar+!3*248cRzc6+Zk627{=c{=A);eyRR{^{h)Q;5w7AB<T+m-^56Knrw
zCBgVn#LQ;1DeqJ%{eIvv=T4Zlu90PQo7iWFu`KJD_YO_ok*q148T&YCB8FW#w&&^s
zIpaSC(U8n6q;P6r<^pPA-J#kAJL-_KT>udm7Z0*U11O812c7QI#Qv~8ETUqgSI88^
zA2tty8SSqZ1(s)#1XnIHSD>`gb%-=|AVPcyPEh!Va~8Q+m0nohOK~oocu|M6giTc-
z4%I&f-*vaz)b^2Izi!VR9%|PiULYZfyZ;-P<$t~1^&d76XM=oeVBLE>A7J~292U<1
z6F&U{YC1vX+~VTf*F4HZvcdGh;M>8k{AU_*`~6p3&My)^zkp&l1MDpZPP*{dt8<&8
zD4&R{o2S!!OiB&vwNw;P@L==maY~-+c`_p>Ysb7MOn4C`4!6*B2NBRwH#mO<dYy+=
z6Db3qRa1AaKT{1yFU-W_*o6jSn|*8@9hD}ky;}erkZcht^lsa7Ku_0}mI?vRYwBYX
zELC|zKV5kRNRF~y4fM12cq;1Tno6Pmo=8+!z^LA_;=S+nU!Q7U;qrWMaANA<#Ck)v
zU7u5YX32v3NEL#f;OEk7he{PKQng3{9H`vulY5hpYBt^+%nc3hR-nN-h_!26!)FSI
zQ5;K0DkLc^)MoaZ@?Wg*xY{2^7fsx_w}2%ti|}iO^H-K%bSG|+SyXNxP^8a<q`Gvf
zl4SFAN=eRT%YRJ<ODAc-U;(hm>c9WU%BfORB%ygO`H_<ye|c*}2A#KbX1T!?pD6>W
zR)2_M5U%N;&`5!=WNam1h(Vc@16eOXY*?F*I#;{?6NuAIKFhjj-V!?W8lk-Hplk*w
z_L|@^Oo#Ac8-(h;jM13G1*@^8Ww_AK5S&a7H`r0T&r^^QtH<Io#Ch2|f=SZ<7ZRoV
zG-l(n@7;0W8iHXl=(oc9tFF<?)Zcup)F5L=<ln{@pb};btK;sO?dy}~A_1T+j14UC
z>xyK^u)#_YWC;v<<}PMto2SJSa3w9vWKA6qV({&+bmGz-T4&=q*}*406lTzFUNrTJ
zN;)<^H|rp3z)j+iuD2aG!v$Kom|EipFS6&4Is%~g_>!2s8knb$$`9*{17R~<T-86*
z>YuJ$6y~HAe?v{P!&$5Tb-h`DHhq_7l{S_0sax*LkH$Ubkek`Ar9Y(T>kiZ;F<^CL
zm7>{qUw9JGDXyi=nk09Adg__A)p!8VgbHsRB&JG9v?9Awf>8np0WX2^)Jk)d7LNKJ
zRJ1zMlXFbwW*w>K1hcW00!1C>Q!ps#zBmF8jy`yBz!UMn1G@zk3j5c8TbJ)HRvwZ7
z$oXh|@yvDp5BM67J)2bu>HN7n_zvab3_1NIx&bZ>LXvwwzb1$E^%$qNYWef(^BSTe
zcfzOO(4)xN(59z}yS!tN^9@xR+Wuu!0(P@Uw8}iATNAkIKwR(O;Lx;mu)Avla)OJd
zb^wa4)l{ZZsAc7M<?FZVTB_`pDtY=H1vb>k<5OAE^3CF5%-2u&hy)H3r4qo|B^`9#
zR4x75=C9p~i395-@dVoDx1|~`WK!@ikd+P?W0Zawg8OVaXYHniUe7wE-?T_yKX#q!
zYuPS%(*R{wmELO_0`yRoLUG^eGJe?Sq#xg->2F=TN@%F0#gHSaLhKfp$LOR@%sU79
zE#W&=+vmh81u6rexM~+OEneEx({t8|Y@yc7FgxEWaa^U4ixVU(sSN0p_CO8lW)fVQ
z#Iv|Eeq1;?GPa6_#t4HxcX}sutKo3zuY$?P-s9eH!mn421EU;bR^|Mx?>2$18xXGl
zPbS2lsnGyDA09b&FOL8d4m&DtyDruxJF#gyw}B}!5!7Aa4KU|h&7aBDI<WEZ0QP9O
zrMAMic9w}>#i$CJj5RH}wH%P$4#jXQ!Yxvsacf}hw0CE~eezYb0Pm973GpSRZzRBW
zcO91VcfGYx=A1HshnN!bl10a~Wvmw`pmR>PI5D5Xm=|Lkz?5Wsg6RLgjJcLO*er}@
z@u#KXOCFLGvZ@BtCVbwhI@iwyBnYq`BAT+&QUIceXF#4NEWYlye+|0W!0gVWj{xYj
zuGayM2p@pzND~BxE;57Hl_nT;c2jLvjQssu4a!-sU0&#%Vxn?aXV!+sC#FmxRf)Y<
z!=s4^j)et+6Nb~oODlcW``r0mt86!Ua1)sQcA+Kd4P&Hvol@Y$<x$Q4B=?mi1YfL=
z0g@zJYZ_Ikpvsy26pe%c6Z4arW*GaLL{!aAZW&L7fT?0GD~?0~y(bo->65l*(j)oJ
zJKWhBwA%>8Q^N>A<pER(+vfb@fEom7aK;Jn*c7VCK5tbA)BUVD;>yxeOLKFxn+~3E
zlSIGMraizRfQ~HvVM}g3$VP%0GHJ7y#9T6NB~+qm3R{caCnQW`z=gl1#){HLlaI4X
zi5w0(%2R!+(8@IjAOQE*Ju-}}di9RCn~Vhm3wbb{+{6q%JX5bc3GPuQ&^^MZgjEgC
zBdNBgKp5x#$b}i~VxVmYWcxc$Qkoq0C5v%|#JJ^wy9+cRM*U1EAA<Poj`T&*)PiRq
zVGFJH$K){s!&)AA5P<Lis&w4rd)aq6_5}cjM@xmoK41;-ebxG!90YzDlq=SaTrS0G
zb8{=s_+`qz3@{P>#I=uGCp!p(<AVydDZgN}Owj@h@_)HJs#)lyeJx7}AmFj0f(>xk
zGTBnTFdVT<$Ug_QQg%m;BlGLq`e8aL>-Wqb)s*O8Qon2BniLIw#p)8}W2H-Ce3y!b
zvtyO>j)~wz@DL2SKx!biMe|(xB^n-q<wT4O?4yc3!!saNAS590T{$$p0Ve}!Fu-`o
z^V|aRU{P;D?sqoG>3uXZKgMX+GKk#(jvGR12VU5kp)ZUc&CU&iz?h+nR@vn=s*ER7
zb9ByW%}<+%Op$%PqMnFze=+;5C1cRMOCD3F2ICC^BJ3?FMcr+5xR?S3PB_T^s?{?r
z_Ez5#Ib!BYbF`iH1uDM2yr7#3$IZ(kh3oR$&Da&p{MqeHFp1j(rfWSf?SFM#P#$d}
zop%haBH1rfj;t+^F_7tLS7v~?Y-Rl{;82tcjou)=hN)P!O9t))Qdwpo_Ab6gyG|r3
zWP`iy=I5cP6ez=9T7FW>eJnEx|6fahzp0SF)-<mCD#?6D)qgSS4W34T;BR~)7z`0f
zmUpN!>xGMgWyY76A1%Zo9)$5f%vHEfRi%!k&69L0+g_yUv-)vB0lYm=7iaiu8K9<;
zN?h$vr58d2(1%9rS*_j^xxsM|=>%nNNeZdrQP;jj|4`Qps#_M35^ph6dAojG|ADBg
zstO#DAi*U&ee+Z-Y#gT(J^!@@yn!`S!GnOcTBj7?T-)=xY*4-QlfI8|j%|5MEPXgT
zFE3FU4uDYS_`q=ixa;Be3YeyWosj}q%;ZIiz}p`T$tFZS*>`i<OSAAK0sO5+H~oJ0
zWFGR7DTddqlR7V&YUfS)2TyxduRK?@Mp|iwT<8bK632Kl22X$Lr8n(sJQxkgS}jW8
zGduzQ&%}Re<@Il?<}y6ZdJ0?2wgqT)zP{%%)@j+(QV!l0k5d{!n^&Ll@TwI-!23u`
z^-F;{*X8)jaTXubrTj*$c!YO|wpGk_cV&sMuptA!0?19ZFB@ED{XuFZ*$$QiH$Kn`
zSg6F1!QcA3TD+l;c>;Y9^^%2`nfHFM0hKZk0)8L4mvs-%G{GP31s*MG#=Lc2=?+WX
zS`(Y^Tfulny1^*8A)j)oWYGOuoJU^ik2Wk1omkDi_|7n4T)tAi@Ujk(DnN}UutH&I
zK|ca`nsAlGm*>}~jlxQ&-oA5uu|vjce)x%>!ZFxX6p;fN(IpQ9E$!EMR!xmMNs1+e
zPA82#r5Akd%H*>GbVxYJ0LDngG(HGhm3bLlFQT6=mokxTmNd9&T?2IDjeke#V!|dH
z^0d?P1D|%TjjvnSSTN*8h_9t3JpstKeK+7ur6{~M4DUA$g+VKgFeo>K&NQL3^tP*X
z5c2F>G-vzB20RS5-423GB?wTeH-Piuai|_34{>=4(+Qc9WnMD=>9V<<&78cot0Fu6
z<O`cC9X1U6VddsrWR$sH&XiVRP~^dUEPB_Ec6+ab*8u|ry>lhl)6QSDV#7Lnhdpx>
zG0~`VeW)~aY;nQ=c-#Nx@>^LC5xW<ygy{5HYcuodWwi{f=^7!Lck6umGg}I!VXqN;
zR=5Gg)0Nip82@yr=l_!m9)c5s)1%d03!_@(_V_pDVxGaz{IJ)bhR>1y-a89~WWlLb
zM4J>|E`J7K%&WjQ?p$DE0U;uQy?@%(Z>nPVK`C+f%UTm2dJqgIElSe-<y)3V6mGqd
zsP@-HQ1c0q`N$)`mGlv3m7+*E4!E|tE<$pzOOHZkA6kP21Tc+KJzcoO`ICY41So#O
z`}m~93CwcMBqZ`>bn(JzYxt3aE`=S@KK_|wiMN?|Q$Un4<7SYOVX`>2j@78v>|~G5
z?J0@o=HfC<GygUwD*hqdG1)+N+soimEKwzx7)1;C-)?|YH+DUvSV1+LTe=jvcr++6
z`(SU1@MQrmOUU<`-8tLy{QFmlrLH@;$ZvD3bcl}Cg%CHFYk|VW*Ov@N6W`b1vgLnx
z;U9-n2^bPBrfKUMkQjl33j_BHsQh~@do`^8w?O~$Wtp#1gRV5=>m=F74nu2ksUe7N
zYV$gDMsx6lFns_AhF||im-E|TT8A@gqmJ1^Y14kB%irTx>CW%m4g2tp7kO$t+kq|m
z;PcbgW;k<pR!$RQ6s^Cndb!5WlUTc7Vi;InFdDf{E9H{(mH7z@86s<ivH4-3+RA;d
zjZc*W0e~tf;Q3?X9^L-kimnpaZP1CRhew@N8sHqOR9Kp20`Wp{O5LMWY$tWZat@tg
z#^Q|zK4#ags29I7w4Blzl+_~bYm7K!F8w7Y7!Ef-;9uNB=LfDbpEh`Ls*6$^u83Ei
z%r=x$-89e8a^8NVO5xlHXY!D6e>l`Va=S#nL3~{)&~#%WZqE14I0OdAfntPrew7T|
zgimxixNuI~;f8`49c9+G0(I!s!+ny4WS*3#Y*BG~nl&1-68_IRm$y2G6#&6jRE%NQ
zxbyW3=@+>omq*ntogSROT;}NcwRHjva&&0w?ST%(4X74)=AeiZ85u_Mhy290i9oYL
z+4zf+y4Gp>YFUeRrC2Hy_G%FJgs&&rD+?5zreqsG8?(Ufh89vwkXmYL86wYAZ)%>t
z>%D$grQ1<SZQlNBQp3}advE(orQ0wox^P`i#D|W~v;k3xI&TljZ}Ev7kzYqB-j^Z?
zIU<4pwVg@=2?gmie5yjD-^Ihg;`r5N-4dO_rZVsIb0(9pbQKRM?Q{5a9ahhjVoKcg
zoqu}!gGYkd-0`u~1Q%+`+;!jnkTm>9Q_})VYPEsM3R~dAV|vUzJuW#VW!pcYDiA-O
z?$>o<?Wbv`?e6NDTXTO&A9ou_SAlF)-Qam0Y7-N#vtXM{SZwW;e7`0l%=~HRoYKJo
zm4>wx=NCy)@)HOavi|p<F?YkjSB6HHt*5YG<^Wl|*H)kiTeal6b~YgzIe~r82SH|6
z62@HdFHGw*^6LESaUHI^Y?N!&`sog_x|U~m?NE=~{f;~e6e0KJ$uM}xpsR_<{X&<=
z!x}&CnRkok{bJi^-9aXg;<q8uKkg;vkagy+)U}_VokM3G$5l}qoeb*iiul_4DUq;9
zOn#)gqN1P1W4mWK@k}Mzf1yph5EWU*(D1Td|Dg{JrRCLHObQALa(5H<YRF3ixIH>L
zW)Clhf`Wr7SHPo4%Jsp%W|_gx7wQ5}+4{PP$*+XXcgnJr$sd{GD^iZqd$%!DU%a<$
zU?elZhnRd0gqW#L7@JjF^i6&;(N_;l!(eJ>j*h8WJ~trvr-eSRWcM2EjWs%@7B%S9
zYrG)4ja8)E&_zE5(=^I=S`HRa{{luQJ!ehmz}_W5q^ZU6iz({e)Ui6ztYv>T<NdFn
zC<t)kAni`o_9pSkZC8W-vKe+ltRnUG{10l-4OtT=Jb>$UrL9>y#|)pF?Go!*w~ozg
z-RXQ3<j~GHrq3{7Z*g#{j>cj0th&A4up`0pn6tJvH<6&bDExYdjL$?;odpv?3wkzw
zAilV^z-ZU)4C}%7_RR3%tnI+7`d*%4@E>rWQQqBkSr-mAjE6?J3$1>Cr7lT|tXB>t
zbH*;NigDO{m$Uxbtfk?<w|u{9KBc7o*Emfvc6_P?Ip{#L!izSx@t^OOFE82f)`{SV
z$o*WP6&(H%Y5np(&f((bQCFK%wZa?g(Ap-%r~6ApW@mD=5yNky9Wj>9_o3YWtWIpk
z<3gmdGO}lezp^Xqe*I^`gPR|HBn&c&Q4jso7e^_#_`Baz(Emjsb{7t=w@G@b?T_yo
zRgHx)u3lV@QVaeC^eGc$@Je5G&6pXC5Tiyf<#EHZw7kCJoYjo~J{Vzcdigs#Qsw!2
zMc;xib$$Kip4Af?l(!WvElYn=R|2N5_x4H#pl$xdKdY}W5JVj(cJo^`4Tm7e-Ir+v
z^x}$~TGi^TSb@7H0X#~co|kl9-|r-`lZK-8t`{faSV|_$G#oS_ye|lso=VbexGItm
ztMKOM1-=@*#7KL1;yDX5=hObQqCWRybg-<0<TO4$uVznC(PZ5o9FlJ0)*9anP+L|$
zDf82*+3SbU5NkjEuB9l%)?-;3*rf*22U_5bcpJpz9^xsq>(kn6g==wqqu#n?hz&V<
zVWC1^m5FyhiwD<tv-?!HQyFFkBd5}mU{vyb(SH~8-~Ij`6}e7k(TWxkz^TxQ81P4y
zN5O9AD+7^9*>PIFHWR_L4kK_>D&zYR>;kfQ=H{R9O@pqkt{tR5%OfdHPfvei@!kkg
z?x#E&EZ|q9Xw-7Yrdap{L*%?aa_P)C4;V%t>&y)=1a%%>W@KjionBy9y;oOw4$Dn>
zHGkf)5lasXXeW8!_t7PGPlCf?sBsN%<t|F-z)^K)^Z4KTgSW~b5?mZ7|9C@T!<HM1
zg@ob_0Ah^@Lk*KP^5xaazy`O0a@&=?_wajV$%$-hQ`x0#7cc(w=kg8dR$Owi)fj_W
zHStn--Qg**iJP^W!8L**OQj(0d}LLxiwP5G#4`!+gSB&g9D0sxrhPteLyn0ubBHN?
z>u^(5bvu!5Fr9}2qxnSfu-vv{K3z9Ilu~o__pjABwDfVQbys?t0Rt98Qwf8aX`@?3
zie-=~WD8{>w%>>}uQndUkn((@YiMr1z1$j+d)J5pa~AADZhoM@0&2Oom4{l^zcw#r
zKGDgv9~oLSe`tI=6feX4FngN&&9AO-mw&L5A@Y9IV&2-%qvrT7Mnc@e!a^|_TfI)_
zBF2UvlFg^!#0(F90`6&?kGM$fZeb;3cv=|d#dAp-h@GE?6n>6<8X;m6{oVcSbKL&Z
zH=aPxx^*?Np*&GoQ$D>g9Is^hZ|qhTRu4Vg5AGhtuH(d8+<mBuKk`D8_*OIJZWKoC
zO2olzgE4Q{EIy)t^xwSI#-t7s3=<bO9tVdGqJ8p2>(V)AE90g$j{7xRCjZF$S{O2o
z*wgrBQ`hyh13ven7{ll42tPj`y4p4eY+rANS&5|=PSWK&WW+wrV!dFbh1HX`J(m~*
zPFi2#w&rHvG{MTwPiz6<kv~E<uXI7UpIyrxPeQ)cC%Wj<j99FB6mC3O+EL@UCF%n!
zsC41+4pY}{pSW(^X&gRToKzb&*n2mT$4D4?BN)Ck%)p?@4Z{umNJfm_|MAO=Q_c8N
zJS&p&t8@d?o3`eGWNr>qOy+oQf`F{sf0Y7`0{SzSvcp_=`Se1FMV)Cb*MBL`p`)#m
znO)F;%!NfW?M5!4>@XUGiW7%qBd-eC*z|MJ>2DorCM>(plDe%c^9sqSm1caLN#z)d
zlH?wL79P-t)4@gHKT)w|CZRm(CZDWuK^TiPO$FmXF`$YS&iqegd2O8P-F6g*s;1Q3
z^w2@eAvVSR#4nQTq3=GUjc85FM)*UlUkU>RSbO@)v%8^xCta?_YRBoy?v_gsT;%?W
zQ~cC#<)qo+s;E_ig@t7YfUc$HtJNE<1pM`z5^vycM_nvz=O<rht)E?jx$(LZe2$AM
z$9<>IGDF7vyGVyc@m!y@^!bw;6Qok1g`@kuH!a!!Oo5ay`ogyL_cP>k<6=Q;1>c^s
z#u82Ssr$VjJDM*q1%KnIOcX*9zsGJTmen12$^LlRmp&Jxli>(1E~E6YB`Y<4KmG9~
zT~wG0yGQw(IR)BXM_k4l@$aC${AbBaQH=J{4;91fV{hL}v${7!%E@NLCFXmw%E3L<
zlG1?0(onY*#{JXyLJScjBBNJ+WoGqbjK%Qt=2MF3%A7IpMv~3;aPC`3<{0*@)}K{z
zLaInp`{E>f_`QXYBoGz9nTC*nb=A2x?KrA|$@$zk2u2(22KR2Wa3IrbH&Uub^WCkP
ze0fw_ZlnLFlmjb!NS<D);UFgXICFJhWclh+gi_0{L(GJ6&&MB-3Le2OB`P&;b*L~g
zD(%l%xw}I<rh#yHJH(~7DW5gzr8AwH$10!5iKSjBKXD2w=aW_ZZxf^rADZeSzj~fV
zZPg;InpkWg;lZ@tZ8r<vJL=FC)sgcf3=-z;Mp2#Pj2$+L2f)RgHyHGOEQkDg@)Xvr
zVv(2VeS3MlZkVN@sPdF3B=+>@bqi-mK1VNhiqGNcZJ7<08-$v53Ur_h+JgUBVk>R)
z`2FhIaK-g;FYbIJ)Foj?T$4}SuInEz>C!bfGyJkzkYH~!@l5`F%O>x3@&(!34(lqd
z$<uz8BBi^7mjg#5s831FSz7wt8?5AVhYsg60Rg4sQ0Z2nzV1u?v!={xESq<o+-GS5
zo7hquu_D?RlBqOGCkaJZvI*;S7Aw;FvG!gJ82)nHEKwGe5;}G|v)q2%IG^7WlQU*T
z0bL*A{&N<Qu%U|yE_GSr4<XKa`<!AhHX~VOy$H@>PZd^^i73}(&eczG0Z%=-5n(t^
z)$Mapq9f9xs*u+fXhs=Hp!=cZ!eH_m){Pz>fG7qbkKf|UfA45h{&OPQ(}<1Y!{zv@
zVBz$c1;TXL=&?Li45^p$6l;kItlha-h?&sf6P?A-4{~l+i$j>vt)#YRn&6K9*}T>R
z7MT2>2xJdbubJy(BEkr)R!uFxSfKS+<F=hOg6C#>rsiJ2a(`>?rL!wy*2sw?j_u+O
zbOg063fxXfq^cQ6g#{aJ?SGg(N&RhsZ2^Q9y6+G>NGg+It)qQ0Oir<Gb6Ph2qs1bg
znd!{`{%aG&^rdf8k~j0ehI}XIjxz$}3)~uP^9d#5--uOo<Wq_dPv702UPYp9kd06>
z!w~qWf=iq3s_0MhIbyqRnld}w@m&Qg@gavNJj)9p&4K}a#%(6`c6)pKM5@5FP;Z;V
zrbzF7+%qNpo%~wU2mvzKUEgZPlCOgnk2`y*H!W2C+;$IHjE&}>?+=|x%>wPz4>)M7
zj=8j@9j{Oqk=3_f-9)~*QI}nXjdR`2v_+PeGYy7Y{@fusErw=rk`H#W$A1ec)<O%b
zI;9%BuW`pFHgF|aMN}nAw9rDOgg><5A3nL37DLz|!9;IOiX8s3yKzfX880a>4wrk2
zbQG$jAT4bviWHDvu7!jOvm@nDZ{ejRkVu({t+u{DDTyTSQf(>HO7$uxc_mY6;vJM>
zz+IAohnBiYZLmC*_|_C&zmFD;l?cKAs*L>bD?~JHPltK_zVTPa7lSi`d0K`edqkV>
zoq>!Jt|>{qNj=KD93m3rik$GXd>V>W!8&4Ci4k$Cz3mO@&>KX=k5u%V{UQ3I3if|w
z{>W;6GI5g{Qpk@{`t2|A(kdv7qb}xbMO0nA=QGJ}<dosCnTj^cU>Aa2T_%L6TV8z5
z({$!mT9=1*<yE`w&b#jE^$}lYY2o0s+zn-hzmFIe|7G>e;0-JEuMN^NvtIWeA*n!G
z!3g=dXc-lLsy)YxG_v)9q4bMns^++lmILjDT~e_A{NCEnwIUH$jnFK`0jahOjU=nY
zml#KAi{4Gpoq@+qrZ67ei7oWc*DQM95Tj}Rch3#!64t}sYUd$uEIlT|`mcC0<l>^8
zwKW<Uyq?d8H+TLb@~Rw`T+~4y<ycF&HAr;{NpNuy5QuwoXz2;BjFl;U1qp+e9*ic*
zy_3V8HZn>HxH&NSY4#8~`rJx$=KekrbEHv8dV|uM(Vp;R;v;*H&cZOnaR*w+#KO};
zi=09{&om0nYifQO3&?<0_?p%<oHhH~X{56;3n|Yb;vaIuSez6;MTG(so=TH3b#@ao
z<d-iRz9_+|*k#as8-q+O@xl~VQ5LP6Fm2WzQ4(5ifIn2pWFI|pCvXtN3BXsu!l016
z_wH`1`j)oQ+#%iF{WZ`ZN!x3oslzS?jR_pW3}UlJKFYX~QwFu$AnlHJU24Xz&#U6T
zRokFytC9&<S(c9^Mx*%oFvWjlPiUz|sq|j){U9L`17z}gpVGHoE&31E!}Kof+jAXS
z4xEF0Xiv#th`&YuP9ePJgH3+7RuZa<vt4>A%K6?9cL+Cp0eoa2Bw0q_<(0DJ{-NoT
zih>m%;dgLzPq}fbQ|h3b4)OrYsNgtb5xmbVxe)@6u5Nt`|Mlpc6hG`LTW~J6^2|4`
zI9U4~O*|`&wzqxI@x9(wZ~ZR*n@;n|yZW=`qm6#CDfhbo1Ktvze|dv<voGF>8|q}!
zs}wzz9KO`4W2}K@JfbTbIoiJroNj*z!_4h1t&!BG@jN#g+wRX?QZ6{uKVaptckc>J
zXMR<RNrg9dalhlO|G9X5YU-`Za}wg{^TrX8R3L|WRbmw`;CUFVZ)2Bf1#=YYJ;}5*
z8dN`-<3liRUbS0^%{x?U;1e0>Y;AtHi)VMO&(_P@$Y6&=@LIkI5TP#2d{ZyW7L>1Q
zMhMx?Szg9Gr&$>XfW&j(9}b7Q&0ot?&TxdqOGtZhdz@O8zG}~m>-6wBEZo%Tlum2v
zh^*k(jMf?`Mw_J3ThGDW1k$h0k=ZAmwK^Ci7_RunB_e1z?n0h(7o+%o%V~D_4@qcX
zR`x^7GEy8A(2Dk=UjOfzmD>E?;4}3kl@i>n7!srG<ac2kUkIc{li5ZtBXt#|lbNWs
ztLcYN+9i>mAtKW2x95EM-K|VOpNs=*{Nvx{3aVfA84YX#Mo;0QNmFJn`Q*&fi|P($
z+S3y6VdJtm_GSTrZ^r>&;e(4O9w?a={xic+y@UwjS$M~(@%`nnSqH~k1xtbPfwKLd
z`E90Ah4q#dlE$IKjkP>%q{+Isc3)btPFE7wdEw!v?Ofe$Yymhjv^XYUuDtuAP(F37
zQ3D2&-L(vCl;FdM&4mXw5$RZ2j&5E=QB`7G$CtBny$L`4Uy-#o%RzS!f)QaIHxIj+
zHiuBmb(6B{--@m2q*$KL^g}FlvmHHR`CS8#4;y=}+=xN<_3842+Gn99$)D%Enn=$x
z`mMgAze}#~dQ;|xVRzep)sbz7Cz{GLXyxahVSX}CqMK-*YRy_{&>O+{Iom=LRVLHA
z*W|7xT%d&Ww9elBTb4yNbLAgnkrvMk9>^5xU06D;T+Q$+%JO)V%gsgPCTEh8z_HUP
zR#`L}O$~GXZ@KgkyQRJV(>!+O;oWvVWkeBM93&(lGEn;Bo7Ki;ah}d_BK2CUi<dg{
zvrsr;%I2o}(jnURk50>jdILgoY+@vuN$$c=^{`&2R)0NU8(|uBo5`kvFSlD<smMa&
z(d35%(N+Is-*h^01x<w|I{QAusSobRX;FWKT*^0i71~yML;AZNyq{B-5)NW<O8H;-
z4>az{Rc<F54LH7_%-JM&!=`Gr?@}{03V5ceCH014XDFi}8572im!Y*1D+o7QA}{-t
zeb%qr6^)(X-!q{4ouv@L7+!DnUjd}XkH4(upq(43{#uXDSNS*yS5?aiCvqpv7wI;!
zJo>Y?RNil+i7}FQ;bIen8zd&y%XGuHT)z1j+-oMJZ<16+WQCWMbZb_T3XIb(7<J%%
z+#Hk0&y7q(LtN9}<)kM5wVy5hLhSRVPurU&d#bt8XpD-6;b5|)dfwVL|KKNdeHmnq
zL>AUKSVOfy#b&^(hgK~LpJtz)${BOYD5tE9_|6cSZ$)GRxG^5Y=0H%Z79bj;&!hbu
zy$|*b*)rzsc&ypeE`@><lx2*XWgI)im21M;`T19oYyUl*2vFWFeFG0<9D8UVV|Yu9
z?wzp?5(2K{e+Z(jCBpZLH;2&OROa#i+jzBD`mf441LpM$4RO38GEw5}VFokA`|hE%
zD7yMHZsc(ub=2uZ6F4xc;MJ^jmWj=uJEyB0ZAGvgf%Em!c8tso<GfeF;n5w_XO8vz
z+2nt&ifTiqwM@P@;Tn)JiCjHA<=X;+fSBRwOoLkM{H;*#Zr=4z4O!4^(~5vkV_KGl
zeV>#EZIZ6~wyQ=%JQJb03H@|Trl4YK0E7F9`qH+~#e=EMiN?jP_BdDV05>6Kf0$qS
zf(NT2x=jQcTZ|dzpsa|0Me~ijgW!2`1Pvk$L*yT4l^gLpefqr$8G|tgSv=T>t+X}|
z3$othnFa>gLLja_dkP($;r7fLv4KnG{Y^}hC@kY7cJo^f=WAtR-NHe)cijV*0{AOO
z;>l*cy}dIa9Q>Pb>f;KQ=I-vk%nBVHZ~kXXqNDijk0mY%EGilMi6Sm;KMYQ1-%&C<
z5pYmHd6HiCgfu<S*iCv>%YhK*Ia8e}xwF9NG4<c0Sw}xwsNS!U9}%|Bz3VMtfWf*;
zSI;Jhdm#P|MYLe<b8>LBI!TQL67sJ~tl5Lv<wZFzRg|GmL;Ry7+8LuC`m^|>WvFi&
z-<fArRko|SfXn~+owKw_nRw@)%A@NuQ6DTcpE8BivqOO>pZuF{7^3b`iD*x$s1e1U
z>rlQT2s9*xR7gk>6k?LzXVI01;TfDRN=P!9FrqJ41&_L_w$e#jR&>*BzBf-5xOh=7
z(?ZvDuncMs{~L3!p4fM911hb?M!*=c@|a@;8Ch6tVU;iem(qzKy%Wmn#~-0J?x~vM
z1PHvTt>hlRl2xpM*7EvnmlgY^ZH)o;|L)Y^P{t!<3p^4xP=xsD?=8jUyWa-|P!nq&
z=VHvsptIAbWEo~ZdJ<#_oljrxAl`$+?oOx56K7X?ilx2hRzj`B0$J^Z5A?e+{PG`4
zzIGU~-2-WBnaK5atFjT67x^D#ULhVSO2y((1X%ATnCh7oH2X_D@B4uX)<%Bm3)FUT
zZdAQ6*D}ZFX)E_m@)?4ju<kEKjaYn4FN+Pk#hv{3XTJ-!H2>SSEMIq9oT?_-593)O
zHGs-5_SP8@sOuQ2kL+eIfDil|$>-SyK6qm+`!vzulM~v4Hu6kCgW=(SRTjnD601*)
zFWeVb&?R-L32*zQT<n-|%bxx0SBKm#?7}+<_a|`1FfM8S+jZz2{X8M#=KCp=%)-r1
zFV4Xb1D?~CnrGG6(sI{SF0GvmtXh=!{~Fjw8MwmgVKbqJ52Js){6U%;Pk{v~jlG@S
zT?D(k|Ay4vgzbl4-@nQ^HxG8=jE0>x_|XxnFuH*sbZ2aR)Gz#q{nvU3u@YdwW=FCX
zT@NV65Iml6XQtU9vw2h?hKFo3Xwm#*Y?@Sf5rRWSqK_RJgFe{jzLuX-`5eY(`s1&z
zW<rgJj|0f6ccc*37S8=u(}@!=*OHfNVNB5X;wuWw9I*_QQ`oR_GbB4%@I`w-WBO36
z#a-ai=e4}mFwDTbC&TE;5WFXpcC_*9yq2-kDjDlll7&giA_*s9qwbKsVI0dPaeNJW
z^&9bxU_%|@nFBYTpZwQqRe|K!-vfzImwCQD$!3`o{1C;LJz27o##<ZQF5dK~hp!i3
zgMgWenhoQPnaoUg)|txFfcB4Q%*7S6G7d@#E*Zm_{c?J5X5r4>-jHb8*Xk3uv{~FS
zu$)eC`K1YRl)ao}HL?BwVgmcX0LBhHjpR)L1Ge6)2F&zKPiyGU#3i71#cFX?^-bl`
zpm5as5&GhFSfN|=n@w<ma1^_yxf%n`eOA|9!!Y*Rswz&3xD&yZ`FVaJq5aseFROx?
zv;C1*`&bho>ve^PWkZ9NhwUGjWHTNq^r^}r;eBJr5?tszCEHj?9idZ7Eb87GSAJV9
zB29HwRnK~lO*x$ITdJ}KTJ>14h4~Hj)ijWB5Zb3(vc|04D;xRcqC;br$}o{>6cjm;
z7d;mav4w2H1(@IxFY6sM9Dk<|*e~u+4+!6FPTdMZQej0L_R^B+gIkP*wuk%vlL?~J
zc(}A8iQ(;Z_O0uzilj88=X#=}H4(jmHLlmDS7VC95q&z=iB3YT8Hro}ZQqHIVE3+?
zswoU}no1)l2e2Dq>c=%uY$3J;T!gj0KsK7F7UTu;<YSuN7_y!UuDv;J#*I#=j7JYV
zTop3;<tsdLq6dg7P$qsH93>bms9*364vX$$h5Yw;H@pC>xC}iQeiBJsb<~<U%SOEI
z+I(wyn~3SbFC4B*ju4x79P}~E(BG5up#xMi%+6lE%XR?ds^6C5@WuIgZEfwe^8MbP
zZCc32!fWBq=da+%Y69+#m@~4IFP`N=r!h=@KVUdBNQx*z3nO+<gBqF4pK?|zSN^Us
z>IOi5jm-=ggI$SBpJ|q!4QS`lP^Tmy!l)1nh*|AisE1!O;cAsgk&%n0g-2nvJfD>g
zidL($@us+roccdBomEs+@889T25F?EL6i=W4rvJ`rIGIL9N-KgA*FP82@KsG0t(XI
zAe|%K@Sfj)t@qr`#oWw#<~iTk`?C`hdfrDx8C~#LTmEG*d5djaWx_~ZgQou(t6}=k
z)4o{JK|UA_cprsHQiXA|ru^+vrd@kL+uTnBjO?rIer>jwJ9kB2Wz3#}o{pAXWZFD^
z7&ENAzG)r-D!d5D>5<){4xE2SU~@>5z9D-vF!lO*fR@xc?BH8uNdNfTfIgBd&NdLb
zM1^P6OrQ`~u2t4jfs|8mP+E#tI^e6J|7g0LUE<0LT%DXEF?3wa=sPV4yEQI?0f@*j
zxib|rG2)^aRbfV7?|4C{`#1DE(}(LPqBx_gCD7cN^c<x%{nZcxQ-d|?&|HGQ`JGS+
znT><s=!4+-`I=S|q6ONcHfVjP4wY5ZiSs1&>d_ZzaZD+F)sB*Hfy5PSJ-F1{Yj;2Z
zAW8#V-T6c2mi~L}(?CQXlS&pQ|JE*d%!x8V?EQf_IpMs!+Vah~=h#(rHLErR788sk
z%<1kZld<9a5>sl`qfB{<<d5#h_!Y~hl*He4=23*T=Hcuv-Q|U~59T|bjUwkgbL~q;
zjPZG&r+?{MtqoAV<C!_Q%zE&>Ij7}v0v?Pt68f?GHhJ|wlc<eu1>FSZvzm#R*NOSI
zHPH$O<2t?J2$A?;juoWJ6BADE@#R3FKf>)Dg^Ub8+eZggZz7{V@GtKrb$jLuP3<QR
zsKMTvNx{|C)imm+?+oO1^zXjMH$Y-(TYCPBLTAKSFccJf*VkXXN4o$cW|WIR0ZCh$
zzRx=Fmxu($SbltJ-whKT#2*#+*l`4VPq4Rg+7KLRLDC_X{VO4AC`wnQy^h}F{W6nx
z(<vp3WF^XqS$%VtLcDZCLN1q#RjswYwe-0h=AL5R$IW}gdyt%QAj*mv1SS#a+9iSs
zhu|>buN3v$VOBP&uLUugmYXI3^_;alWy}SREiU>uf^YH85{~>LG^j+&g5h?o!Y;+-
zK54_B_ic)j>?OM(>=634-Kg|6Qy693k^}~BDOxruJBq|?OYYG}yAB785AV2w^FyPI
zRwq=q*gM@vaBQpSy5TufW89`}Nk0XnelY!(E@K?LXoA`ppyNa|FC>2i7`W+WMvvm_
z`6}!3skgg?m*r}frt%bi-s_(5`qH##bb-zYZ*LvV>B&uS41r8(f?;$V8Wz5wU2<~r
zx7(Uu&#KlbAv!vm4zq4%fNT=h3=1L`V4$0SWehQ1LL%J(;S6A5GRz`x-;T9_+HnEJ
z>iq{M?t)5j&5PeEG=OVztP@^?Q|y6=N6W7lH79Vgn;qlUO1oA;=HIGy&po}`;RlqN
z${2*fbmXxEnaVp`PxCHRBSH*uU$~#G-oB0fz#3=EHw@=r&TVulQ|YJiclS8o`$@5n
zb3d%#UPUP<-KjH^#Z_LPSq(jE4{+VaPNpAVoecklYAgGZ8v@9Ln#(6DrSgk-ZQR&+
zUY~4suhQas3VQ|Ak^GDk5k2(r(YvYshJ@!OQqRBFmX%GWSrlE9zs$WqXl|%4J+V=y
ziwiN)4yE4v62r$#eh~Y)=9|_GGTXB)-_OpwvRW+52ZC2lo)b$S$&_kt{e&HBCR!IA
zvvxE!eX=khHfaD24b9_5?PQb=p44+KS$NX?VDfAp1ag{O`Y$}E!ug?8d*+`J)P(%D
z1HZfgPC|!tXPOTT!151TX7n2QJirb6MJt-5^Uesh5Buy5BSpsb2CmZ*?{E?gx$xHm
znkfjR`tUnA+t(ZTCv{%jOLK7b@D3u+64ndK3w(VLz(fnKzHSnvOYk5(hWWkf0Wn4Y
z1iJgcWlK?U&O5S!A38{qGMN>7VJ#a$+9rE0ofY7HEGBd=4VVxT<-S2dMGwc!Acv64
zV4JHZvm*rZza|T%zx$r;yr%El_(ANw6t@!|-&-|Pg|rxxn4pC`gOe|^pUn0s#0z3f
z`6%4W0d^e<X|6gGWmtH~&j>FEBiH#~&tM5~AxsnMcZq|{u|XUS`jI?t+9X`>?g$jW
zU%BM757n^Gz8$Tb0mGK?i)i%+cC%_?rlTw3h1s<8oQ21JguUw8F;T*ZW;RbNaxzB7
zhnSF~OB&10UF-k47Iu1~;vu3TOtg3*J5IYx1?a;8|Dy-HgDVo$ZqP*VH4p4Wc>2p*
zbBb+l8=p>?GMnr;kYH+_9-x!IoD#m3Ja`liO3WQOPZx#1zUdDk_!H<YCyZoB^>Kt|
zSfg;z;%MOb(3`~Ri^=Mls9MFoUm7jEbltJ>?Kv6K?{i}l4wo<?PTHlzh+oLMHO9OE
zJ?#7o*)vF0Qh9??VSeBN+Q=yn^t8724rr<McY?q?9KUL2eZ=nEa9rMRogj&`(9KVr
zSwNP^w@)fL?urcK-1&u>Pfn=NQZ8`rZiYKPqb#^|8MQV_J3Oc^XJ7@LT%;1(V&@<%
z9VC$WnFCB3G2X6~Y(|Bk#4v_}f*t_$oXF*?Q4N3`^iJ;pVW#ink(4>=i)9}TUZ?dt
zbDWnE4ezKxa%^_<ji}oL2_IyGX(j)q3-@Xh)I!F<^$&RdJgz$c#7cV&d*hh{oNq@I
zM;d<d`1n|=qi6CBCdlUqZ?`l!Fh_=q@r7etAy%!T9%7`bE|OFJsy$}{UjLSD2#SzZ
zpSym|UhVvAPogakmC)@Y<&?ps7Zy*)ppKLT(dX70gXMZ0atb`gREwV!uBgr7#$6Ou
z=zL7;pHw9-KfZhBP`9{b+QpuhQRyl#c8q(p9qM0vl2*fxLk_92#>z4OQWaCjDK`QW
zL0x*r{i_>`drIqV=!WHDBVf{B`z4d`yWK;_3y*z6^cQbzRRfU*e!0}f54mp}1tJv*
zy`|zHl|2D{Oyky5h$}F>r8qveyi)TsT$~}eg~)=4{r#|IIW*7NJ?GsWgySu0-HOMx
z<%AvzxABN}?7lRTvC;AUtZh5`!rkmlC$bDqud|qxC%m-O3-Ci&0Z%&vH;K2WS8mBj
zApP?|lCCp&LoliC@bAsW@8YK|`Prhk?#rqP3LYos4K6P`uEY<II~q@Z0|AzG?T_tB
zntT}I;_bpZSz;+jxwC{PT1|IZG{+b0^HogU$jPFI%_gI4wf*0hTy(7H?$W!b&o+1S
z_f|ymkDw@;X-wkcz-YXlFP<*NYE*RI(IN_iem0-fzbY`ailFrKTSI7vw2b7YjM(T!
z6J_&|&2Ly(_47VQr^(JV&ECNB1oGH+%Gn-ME#;9&h96u^nrf-*@14&ay}0pSoGEh-
zw%C5APvF@Z*gL76&TLGANXVSEwbk@oJtUL8`P!caPuShy1}=w?%h8r|>S36xcWbwl
zbB+(PsTntLvHdZgwJ}S?f9H!2ZntH4>}i-(NDxGof7_?+*D1-Ep#E5^wsHkhQt3@T
z=oFaxyc+qIVkfFxV|<h7)-k(8lM+pXTXZ-Pbd>u2y+?O!vT0V6n+$RE^Zg1Ar4R!~
zj&im@UDz1lS#S|PO+|&ZwwU9@4|5)|jG8laql8rcyonnXa*_B~ZnQ62v#fK)#?0|n
zVl7VFL_y}&Hs>`mDzYyzD*rPjFy+2xDVR<*mvOc+w@88PmLe_d1>SH|m#A6U*BvZ<
z=AxE{#@t5fX?hf_Y_@zsEZkwLqWBxMk$FC=Q9XSil@(vR<H9gz4VCxmwd1ze8+3G;
z8R4W5S@ZB~^#0pXOnL}AGNGU55)*FM!tKqBT~YfN2Y<Gi`V&JH;!m<hpD|w1b#kpd
zo!wPV{Q>69d4AWF*RE&3YZCV19!@5K{EEAy#z<}GSH_PYZVet`F2OcPR`R0a9G%?h
z6pYUW66ggMki%Hvv`>xsUXLh?0Z{j&cV({r4V^eGS>No>d<AwD_D;EzPJZe0zSrCz
ziM@;}GI}W9@t8sN*Os^BeHH)rWORh^WZ|LXJe4gI3e=6i@Q$9)%mpWru6n|8*kM=v
zZJCS9qCdhY1D3u=y@cdWG<r(YlQW#RxCUea*)-*(lV9I#QXLF_&f5B&ce^&Q(QWA+
z@V%0B_;Sn*DHcy_vTT1}looOQ1HX7^pW#!!OXKVTeCRm@hRyuT8BYx}#_t468_gN%
zU%KuOC*uEBHLBdI$OQpgWhFwqQlT|qu?()*D9`*?U8oxVesp6qG*}@nM1=wTgZhA7
zwiwhBp12^5PIj*mEM<%*7?hFr0@ag6`Q@UAyrtik-e@u1`WZ_n5nTxqDryf!*;^Ms
zc=MaOe9W7s4iUl~Bp+D0UH=R!^5@wWP9IXG-hCy1T%^&=_!pfCn=V8!<CLs$?DwKY
z9d(Yw2V?HX$p|a<H`dSCwM^9{_jG|(`uXZ=)Jik6u#8`O40O7tq+aJ9v3}@(8rQ#a
z?2KskYeflSj7v0_*Y+qlmEKV=8~n1_BCg(dBYx}BY<@O}lU5p`1oXu#_|nX_3&v0n
z_z=R`ZKuo?Hsc8ONAqfXC@PVHF0@(&J`tco-cG%W&>q;MC)j`X#t((*sNN88I^wWD
z(5Ejvyzu>4b)1!*rKQzbVlNdklEm~9)ZQSn+_Eg@L6lH&ryvp03#%5;kzh27jv2BU
zmFwK(c({4Pb9g6t*q=`CHFqLc>#l`|yyvy-s##X^n~a1YQ#1v~vsG)a@yVTSzg0VI
z{`jFo?W?YSarEGUFua}zcmz7zKkW=Za&Z+h{dL)u#oH)J+zLV(J7hc)Hoa0-5#SZq
z#qD=Aa3*h>J-+13s^rYB?1!q&C6e6@#fQC>JAGw^=T>83GQRXMKH~j$YQZ-SZh5i3
zQQ&C56u)HRGN8*&qAM(>SZJ=kb{r!>_3M3Vd~e;K^G(sGjm|mLJz}76MsL)Ltx%(L
zHCg=<U9yFBuykf2GsB7rqZu?`F%QhP#GumuL^SV3h9?bKWbG)jj5PnZ3w&x_B>_bn
zE6l4R84qdwY-?Pa)4K2D|5^S!26dagnFe4B+>Y13;WF8FVSXdgm+0|sbX}Ik=XeRx
zc{Y0a4CE|xeEs_qpmAlvA)oa{{vwMF!x2R34`(U=z%F_~FKLgSbU4*qUcJqaV_#A=
zGpC`$WBlP=r2PPlhOhOVx86soT9c@B=}Fi`xlIWY>|np)edZ~ng@QeL93#enUNlUe
zoiI|>%k(X#eZrd5w{ZJeScC~T&&DSgMg_<H%&zxLf2+39fR{x&(e&n;tmBmXE(86f
zQPMnCdn6(Pf3Er0exguX*jtQqUMJWce>>#sjoH)Vd7Cn&1OMsz0r7>HKZjzmd{BmE
z`ryKEbtj`XF4zQ@7j0A9ITVtGm7#}s8g19U>@m>2I?y@pj1TEu|2Hz@`sAwchyL;u
z>v`EWX2U9?6ZlQ?3_h#=-=dEL9Pi$pJe^Cb5z{_wRu9%WguA#)^`qXcajmxdoNXg$
ze)@ZOT#S$6)kK^?|JbheU@_nkLLdx0-Q;qmaB!gA@*M}7HO=4rhukX4B#~8f-(8E&
zDr4g>FW7)$YA2*FbWFB-RtktH#mjnJh)SZ?gx~;oi|hRtjsVkFmD5LMVkgundcu@`
z(lTMAnWeyyu53{w4$jj(g=Y}dpVV(U#@nBIqZ=QsrKjHuAJRUpN|z~(eLqMR7^Lfs
zmwQY6kuoh~apQqecWPqmrgRV2V00thtg|ATwT|F=W?4CHAGYxrT&Shz`)8-^*M-3g
zL-#bGtfryf@uQ?n2ZGW}1K#{vbMaK&AS)rmEQ>!%Qq*}ids?6)NLG!ChK671>>xHq
zT;w_!VMGgt{G433ipsUGBEWw4<-_Cp&A`|Xd0R-=dx`yJ=hfJ}-60exC@m<v;Nqde
zi_B}nK!~P_Guq$^$p4}k!D*d^LYFtTy@0mQEcGB(*Bt-AaeZ&h_GL5bHwc7ki~&Pg
zg0vhhvWw9t>w=KZD%I>2@?;6`ejJJXufQEqCF}K^x|aFL#Uab8O`E{^AQh6CAgV~>
zbi;xEYHE#!rkN#jK57h5ou7k#knxJ;`=p=*_fGt)bjl(=o6y~Px|(ILGJFaR17NY$
zb%ZP9<@+VHN?tU}IasL<N2;B?eido*a~HJ}sc(}xM8qwdu9HqxHmYs}`nHYzgGg6W
z8T<t)mNeIVT#~^mNQ5jUl#^XVrKP4(3JEN)P&H2d)|Cmn#~nxUv=lERyAjPj89O)Q
z;~=9s`=Y&*veU!I2Ly&SS681H0C-pbCCxYsGUf#ju^ogYHN$WmdOh&8+S>)ZQPPp>
z4Wa)H${V=*LHCmzh=%SqIvrgIqcf!%SX^A}6sgd+t7Wf6FI{S(W<*9+v*0_u&_*I4
zw}KE{igKp#k<Le|*#^iV!)!kC{7zrM3=7-@WxvK+C7<QIw)(nxvH|V*9feN^erkoa
zJi9G3I_uo@H&>4X?UQn6!cM0axDd%hU+Vc6zC9#oXNUKDf9ESJzU9*@aHf!T_r*8U
zhPPk6pRc(cc)D9Vy&1$sB@~Rav3Q7K*V?xS=3k)o9#pHBR>14calaQ%tKS4VgV(Au
zv5<PzujhLO??gYAsRPfEbnGxK$@(%I|K@Vh@N1O5cb>7P^k&7Rn(R{EydW`Tb=wHw
zp8H2GH|iBM2JRc;)ImREK=9v|JZ6x-8*s6nTUyPY%HKuaL<D{q$L~;)IX8$25BCPu
z&}V0EDed^URIjtkV^?uj5f{E-BGT%~;`jenI07bM$_8NY;mPMYA6Xvr!otF>)u+K}
zTUnWfPvFj9&}Bow*k##-8f%<86bH$`mGB#k;5$Un83`H2yPHvnjw6SJ+D`$2tnQ<0
zbQ^r7Na6aa5wE4wId`C3FfPdGb$+o>!196hW5f%`0*F;XBeK5B%c8%hsea|T>vU9c
zaZ4G6I86X!qf;oB(P3*g{}^gRuYwLQD&uc>mHhS6bVZ$GUtNFy<2I7aZ`ZH_y7h18
z4qXaOn~Ch%r;+Hk$Wjv64L?8Ue_wk>@S=j;*-lBf1qu5DvmYt9>9hT+-Jin}dfKkq
zJk88IU?|->nAF-i?>$w+4%Qo&-X~p6dRG*GNjZRb8nh=p^bB@KUP4QiM~8=)^yIBI
zGc=!-XEB_d-mCG>EiT%5{i!z;KSH=4=!b-Zrw-H&%c_;@&sMN?KhBd?IH5%`pxP@^
z9O9t2?)_%svw=W@3C=|gD3?>#FXku)iwZZMq0TiC7N6yPJYaPyr=QfRG3RK?Wn@4P
zQUvt3qWM4)7<)5ojn5YP$jovFLHUp2`N^#{J?&Y`fV50;gAwIVnlJVu+r2`e2)xE)
z&x)+dku3Ib7{wr|=G+-MirxA>9U*6OM~V@t#}5y)cGYi%Jaz?K?q=`xmmfXJJu^$#
zUaV3eLUzJzTGR_1TGTU42!tMTt#AyowgIa!o9}!c7K3f$xNq=u7c{;kaY7M#J7gG<
zr4tL^)^tYG0*TWNlC`U<H(F^_;(QZ%OBuuoHZonGPR>^rt-wX~>;VW>s?7eKotgQt
z-`gu{=5xX@%ZHwZUYh2A4RUd5jVovGIGtL|q6}I+9scK_515vdVX<gjeBcDK-M|<1
z!(veQf2kW3nwo_PQZl1w9hS?WZ6ew9LzKLZnn>0qn_5Mu?HAc#P9K^ZDsOsMY%LRN
z3F36g=)|5DNsDehUI__nG$EQBb_j~ErlycNww0E#;a~<~<b{Mzu3B-^p(&R{{o0U_
zILEw{be|BmgOl~8uVq1s9&kF}!oC_*V@x0s*Vwc5G`f<>r|-(>W$JYmzVvo9;7XtE
z88al>((BWqh2W;MH9x-DE&46&78ArV7JN7VJF}^(#7iMTqB;a`xf9yS;=2lWp6%_1
zanvjpDcGbzM1WYI5qM4M$J(Z>^^+@1v-gg<KdOkneSJpcYK<iy3G94({@e7o=s(kB
zsbDvRr{vq<XcW(1sB6+G3bBE+w#}-wr23H!-Gf1|=m<)3b{E$Pm!KQ%B_+IL&oEyw
z6udz&rI0p>*&b`Ek|uCX;fO^o2pTyIjt<gcf*fFDZu02&oj#M-pnsQaXjExoZnJF4
z1j%@HzRR!KFZ5c;2srk-yt)FjiEZmCqHPIJL@Q?xJmgkIp7cD>{B}B<4c<S9U&uj>
zlbIGa3Gj{m#LL{?0<~xmD{>iJl^Q1TcSp3ZwX>JeBC^kWd$0NpOGY0N2d<OckyYQM
z#HSW!<q%3e0fIpDzhD@q(#FC9{rXC<VT$i`1IuZ{60ZvvF!x81OGBGWtA|HanJl^a
z?eS5u+fkW0fp?&5Xt2!HmFX7CqTo&lF{_cq2J^>r{HKllA+F@f#`GflL<UQOZ(e}+
z)M{j8(ClIcfvmYZK{S3|@@P_WWg|=?TxVfDU@BWi8}OQ)YH;{mZ9|Q%PuRt)>Q!r7
zN7mAHx8c<fSWV{DI1>9pBWNKOU)XH%q&!@*fRnum-Y879Jg(7;-@$c1hBuuxlkVFQ
zVuC_K^Q)^*m5)!e9tKH;eBa3a;a`@*`|^Iq0*{_NsZ`X|5Alu%PDTW%Pi@o@{}BN1
zw|ltni)XxzIL?D0#(#^P&?{UgcL#UTAu?{NVSzx%b7;<Z`u;&e?YE8U#g|>F9X8+5
zWF$NZU1+XR1R6}wY^lRsqMjkKu@b&<^It_{Q2(?n@dZXg5(;(mUo<Xzg$C(w$We-{
z6jgYBtgS<2y6@Y8+S>U=me-a@Jug%=Ko9ULo5AKoAwcCF3nf~%qqSIKbFmv^)?gTG
z45k6_INJp%^^hU-fxM~bpY}4x$<W~_+9vc}QFv&6n5?WMCGTQsQm?jc7mT;0xt*nB
zrSaQv;eOAzt1@qs?dp+{aD~->zfaQq6jSyPd4Ke<(hK?pK||;2X3Sv{v^XPz@*XH|
ziX7m#>HI8~&fbYOBnGjDx5Cm#5aAUdw$<<XQD`p|iGf~Zeq`yNH6~=^Zr)R?dc%HH
zWng^0HGjBn4zO}QcV|}4W5+Z_Z1%Pbh<A<)`2=1{|C?M}rp-qE(U_5>y#ux*(mUix
zZ4&gph6VF3?GD-kXtf2s;ku`?4wQ@hoFn(YA816hzShYFY<{VJ+*LskGSCSQ0Wt~E
zy-ho#vzBUlw)3wHpME>LXH5A(FZ?3Rj{)v(L7nnHM@OFi+Du|bkUaS#>OTBc>Z!!`
zcJ{!V-(kJw2(~W{8w+V=6AZa_-d;Luk0Sm^*O5=|H^JFdhxkE)u1YFme;A0HT3J@w
zR<cC*;Yq^-;+ZwD9Ttf<{e25}z~A}Oa%$fMGLS}dsi~>yVSrdsxa-Jf{9S1u&OAf}
zNh1X;%6t}yV2l3XX#&GEflxZktn=)5Z#$ihKU*s;#u%3?YVOr&^68Sa2!5;DLD#Pr
z{y`f@fDK){A&OaA`MgTRjGGoBiWPJ8pxP5{$gwEY@<4-4z&wLo-bV&}qbTEmQ#Yl2
z!f5E9$SbSHqdzSeFeUsI3{y+kMS+UCU@-2&kR*bY1s5Hfxu!Ew$P^3UGz%`dr(e<t
z_oclC*GO#})Fb1*raTYhT<7&@H*@Q}I6!tof5&r$f(KHxIZ{X|QQeu5aq?bYeuEjJ
zjb06(j71ZU1x@D+T;>3Iex**|2m_05_mxM(!^>@(aT(cjbbLqc&7{cy!+^g|K`j-u
zqTXv6cLOgWz`P?%@~?-%trfJHp<u^mgnNfg3v$PqQk@7ZKIRD|@=IM|d8GkAO;ill
z3JRB$_<O4_91K6kZ90Fa?;UI<KW#8=U_3lv1miz0_YT)F&(s5#9-=sJ{t1-bMn3sb
zhAf0%M-=<peh7Z%(5p0F;fQTH{*FG7*2b=hRS%U>Npk;HzBR&d6kl`cEdNg=RI;Ol
zD|<PyIf4h#EeCZNlH3*tnr&XBEm<ez2Me~&0*#2yM{iR6p6QwPN7t8-8BC&}E?<WX
z4jM7)`^Qc(;XA-oh)Pa(b+t3uwg*GScVy6WnLE-g12@P^oWj!Isoi?S$e}h1xGms<
zNf+-=G!(Y_#)}NmRi$XNgBl<E=<7h9Q2kz~(S{9$IYFOGzr75$ucja`W%je245*Z7
z4F@H%-<LghmPW;e$Zn=_y;~)ME8TFxSgzv9o8tWoz*nY#ZS+0dnqQYA4JunXiejt^
zCzIEa*7Pad34&~(?-!;Sl+;EnjyBOYxcvBv&WbC%MgY;ab=k<oV08~Av6Cb;k#x4^
zNQraBz(XP~k&udXK&j8Ef(5A};Vp3|FfO=1*ZF@ffpadpST)86F{25;LQ;sJyBQiF
z{C7?QnqLW-54`B2ZE5$1GScC}NuA)QA|7_*U7RIy#vdpp$QRnZ((p-bvs}31ns(kl
zvl*oc-)?RpTwB%;HG_(81bi6&Xb^eGf2pK$%V1jd+on~u)~q8eoU+~2(%jSqbrXhU
z5aFXtsdCTq8Q)tlQ+cSSZL5swp%?;y%?AjWa^#K<?*jI~`D43|c=E@93ng{rW!Kd`
zzcY96HAuM+G8CcWKBp%}?Gin%d-f;?Y?llQOa;_<q3w~gY>TG+%ADezH>X@&k(!0X
zhWB~Z_5P<Dli<125x6O0Y24ngz1d1;<5E?lILCi(Mox$!_xs+otbT3=sIQlmDYS9V
zxXJDCZ+FCgUi3~x$j2!mrl*Db?2HHV;@;2g!In>Kk*>#5YoY(?-pLVNZm;`c<;3KE
zzYX(kEPSbA(VRfk8*sh$o@=OqM_zS`SHoW__5btJ5*bn&Qre(dI*^UH^xGnLbSgbz
z6!cFa{JU<mq@gSm_b1X6XxHPXeY${$hfB<y4Nfd)>}c=wAs!wXDbZ(ld^B52-4*E}
z;o&pHAzxpVn+ybDn#g-tkVX26a&oO?HS*c01QB%Hi8T(jlpRn&64Z5*&?NssSKF_&
z#oOno%_N9NQDltY+o^%ZuF4NzOtvq44K$~Z3G~v6mg(#Mdp!d8D2hKG9{epIU2p!F
zM`Obyqa({X{o7As&<FZckZ0amS7JKd?DGiLuE{%>R<Ng`xW&12_SY1(6uIVFviUa-
zWkeeM?ZR8K{;}<4iw+5@5#d&mK$83ZlP`e;j^+1$r`7rJ61RbbG`jTHk7&c?672U@
z;~E-Bzuv?99mTf+-lUQ)sbEBxgEdLZuG(Fev|ZQrVfLUj1|AwmTB06v&a)x<uDK(*
zjO#W1I!dS1g_ZEDF7;7dTs~w1X9C5~W<H==mO%2P8~@cG7m>3{IZq;mav5yo;CfRM
zR$^3$krc9R4g=i>bPnHs{qfTU!}A9JS|h*_P=>498E68Uaf~wy27ktm6PgfrDz_@x
zsVbfVXlUaE&v@Q=Ba?cq-g^kRv@Vm%R$~i&-Dm=<vlrEwBTkaqU0xlzeyhO0H6)1N
zy*5`~mgjrOcVfTuUb(Cta3Sf_fRxbCcVzG~XkPF=@~6dQ04gT7`grp6k9x9YuW$P_
z(xdvvq$JP;h__z3XHZ`mwa;Z_F)|@y!SA*&AL*iW?edB}7=zlCr?aQ?xXihv0VW%O
zh@*I`HhTrN8uSsiwhm@LOxIs(IuT!9nKD|l11Bf!FHkY$_JW}jkdERxAwu1)*RS^w
zeaKZAnu<vDyD*y0*|!{x9I>xW$XQ57DH=F{x7ZBGJ>8%{!$Whf$VJHl;aHk%RK5^O
zSS^6rBd@|Wl>Okoz<d1IYcGh^qhl8<6M|VUxA0P2wZNv;p}wE@EMHy-VzlAAY-m8T
zp*E%UXc-}YKiPSG+K&HPpi$OL6*Z9v^?JA0%<Ln%gu#cjaKz9o(?-a5*#LuzZqsU@
zsiVVl<YBn4?|2YjMJ1lG*$a_{xa%yG``_Dk6&(tN&gj9ejLNfz^klHGkb2|SCk-pD
zqMF;AO&!Pt*@8aD@3cZtaZ)}Y>=h#M(-Ch@LP<Y)nEk+gb=<m6L(7=5;!XA(I<}EZ
z$8LiTK}M!~!xVPO=raGOla!c10>}xZq~v|;QTwk5!ArYs>sDd3W&7N%v@ez#OG0uH
z{UGe9)nDK%<2cpJ=Pz@-*Gvb5&sa&dB_pIlh{NAi<5QL((Xam`%l=L+_<rSKQMLeq
zP9IvYfoBjo96ICXF{v62K?);edbLINc)$TC;I@Hc91E`H^bkRap%itbxBv_fj#Atg
zDLC`j=7gfe_J^qg^Q>oOwGEq40RIzXswHPlUS>D}TS{;I<0rEy+qy{j%I#E1rAiMr
zR*vYN_(S55zozES&W?w{)9I$r=$W#LN-g`HgQ!^M2%-us@ci5gZEnx^CdaMo=0Sza
zJX!=|Vk))yHh6zByE82t7@nPM;e_#`5~eJm<&th_349ss$;ZDOkb8kiKyO2l5#!`|
zY9-$JL23aQ!+-@3JeX=C#3>4T=|0{!(b|(~3ga|JQb^#@UJb!-t^x7U<YBMJ-2%>q
zn?BEEGi|chgZFeZ(=*q(tPKv^X54sWXDx%c3`CMtHr&Vi^UG_1;D@__YMTg5EOgM(
zGIgHEEO7K0y!>VqH}grC{;(2MhaODC6=yxzccdgT;X_Rddgak_X`+y4L3q&2h)a@B
zWAc}9oc?ZO;uYxBTaK3uk=(t@ZCYQm0(b?5m3&bEe)tuB9`l6F{&b?!T}OSD;f{yh
zO2%-nV7aX=?h620t*i6;e*aNHaT5=J_wu!ozAhYB1WRiA;75G?`L4Af72Z?#Lz;3i
z$gKkWeNta)DZa_Gd^{WaV6=(9c=<b?sndkl<-fxkKnCWMp15?bB8Gis)dY9Ktp#RU
zXAcrBbZ0My_L3p8B%8{Vo&~nC^FBnF&XUdOV(w5D;Oe`vw$N2@H}z=IKI^v<1UlU}
zlgj>5Icb%)Z}}2Er24}hkY^IB(Y(8q9xfa0(`#}>+B!2Dd8*Nx3^vTweOfZM<)SBd
zJUW{6D0+m*&Ju^3YZFQb7?Rdqf_2RD@^6Y$&u4Ab)b_??Gq~qqDA+|kMDjXK-R}ci
zE>|jc0mrWA$X^8=tEvB`z-H>$t;@RI*0yhbcVB0r;?yAU?8=c~A&P@+tf8XwPAdJ5
zc@h{@x8wyA&%f2MOj@Ypo|f9yoyjNQXW>R;<I?T&csJjeGGG{Uw+(957`qk@qV+u&
zFUhYybg;O4yhA(%Q-TK2p=7R3oq%J}9iEqpfc!t7haY-&c1Iws^zPxY^C!ym-hIXH
zv+EIow3%Cw%S#5dP@Z+PRwVeI@2cr0c{y!oaY>>g)8V*?m!G|+9vEq=wfaEf8|+fR
zck8lCHN3-{EzqOBZCS>sC?@u`|ElJwZD~dGVDaw})1+5`_xUacMnTCBINAQ*4ZjgT
z;IgWMjs&qMtFK~?or_Q}@s}O!({)DtHm<K15STt2P4;n25&G}|5)L1&H)+LQuvf4d
zk74$VoFz<5X<S~4cDBzwUW+ezaa39++LYVO;}f$)y<LsvCA{BNiQQ?mAckhiDGe?3
zx)W?3%ruBn$m!*)d;27HKDs_IJ)IZ=z%G7&x2GAVH9uSG))gRniJ}Q+K9shlYmapA
zwTD2^^SfNzy$aCdjoZ5&OepnPx*pW#>hL5)aU=UmR|ke7k6d+ESEd+#;Xnxb3c~U5
z(80?fmR5Xa`FoKK7zdLs;PftQbX2x{$G?8HVv5xG?~+kl0JZEmD13ObpaJs#s{;H!
zy;3-3yYh}_6cQ6#c5Ey=iqk99iG&d_eM?jiA;&(2w=m?SsGE{_BcV>5NB(tWQ)X`{
zWc9<7XO0hubWlD>E2Z?Wc8YyIa-8aAdHdQ!H*)y13W>Lv0C8YisX?t6vaowDGog|^
z3e6XyZ6&Ae!-;A%^l$X^@&Nx-k_7)4t13efrXnxa3wtu(wBBunyYF;l3Hscm<>;|6
zWUP8?RPQCxVH@cj(GzMtqOD-39Qco~LgRmJ#_?`?#3|E*q1)fPFZHsYGY20f@k5W-
zel2|}*|F79OPv&kNkr1LC|EP-lv*!e{p96$&}mL0Dl4y7)~&`&ItG>uU?-Vr+jY8=
zM3Ura1b)=a#r-@&pfKQkcbt=9K(F;P=jh0Yp<}0g-o&f^D}Nbt2xfF?JC{~ATOsId
zRI)_(0(-)&|882l``}<r7pm1(uh9qSY=yX*@=-@ly{B~X%TvF^^ZUpl9xiY0y&Jv)
zn?LqQbW!zM8cTdYLDlEVUUuVw%E!y?(|OTBKaKO<I}DWoZ}Or59!$p-`zzXWd3q6-
zB-t)qH5wj-9^wmJ#7DTHgjBmPGI_D41|lyn;q8-(VL}^`m(|$BNh+{)Z<>DIyWSQ9
zeH2-JLA|Up83;Vsp3SQ`CDrP&;7BdghFxV{#?oH(%5VY2np98+hs<ueDU2(1QkEHq
zI93~3A9Fp+q@wM<@^`|~(Z7$2JW|u^k~2kjZK7)zZ~q=OIQZ1QQF2IM5cOS>3(Ai#
za1g?@IYfh5!<Q0pn|!&>xOSpRYLs)kE|fexlU^dz7e&nIIn4WAT5b^oqs^tI;7baG
z4TH}jP&U87S2pu!aPWgvp+`~?mMLQp15KAbzlf;l{q|_w5!i8$2>b+b7VqA@13dUA
zHkQM^87B0Y_`8!5rjbJQ>nna7zVgTMA!}w}pn-;zjwiadxJ0YVlxx*Bovv7)NAVY5
znvCMgd2+=S6o{^IhgfS@zs!*>+d}B~qoNT21KT-{q1gGPrsSwdNaM}U4$}B(0pHkE
zag!+ZoNN*mx!e-b5x<rytD+e7N?RLOhSay{cE8iMx-T8a`fz>YE{^8P&29M7{~XwS
zjblHCN`*>JNC4p$B-P!!2^6{fDehiOsdGzwe&n1Ti&HmyThm>WSJS=leAW6T9rO|c
zM3lR|E2e;`l5bTk{Ul(F<FwxH@+Bs>p0Ry1J&PGaDvd>AQ#kdiZ9QoD3)|4?=4MDL
zcpghj^|rBtkElod&WCC~PV(l!D3p>gty`DDf3s8HX0!5+ekt3U$f_wg)#Xo*RzX+w
z`TH0Etmsj`Ul&9!Mk(y63@fyON9+Rs7-f65e6pgXxc&`lQZqir(^6*#2#zGzt3SgU
z7_i~N$$Tz8RZ{h1`QqSWV>KNIlu@*)(^Pwm)bNeqPhE4P!}bj9I9}3yH`nDR|5DUY
z`OfI}nRJ}%WPj=vsDG|Btf(}CUmX|bZ@Aad@+EqNhGDqyV@4|JJ1lOMe+&a2e~UaE
z)E;e>DSeu6Ffn;?DC=R<Gxy;xkcgMAzv|838+TvvdGVNx_!GfDzJ>(0>f|A%zi=5S
z4m$iAv?#9d7~s=KN_#g`v}jHvky}N>>f(y^#cz)6EU)`+W^`x@-*MY(D`__8Z=_&`
z6!NJj&dkcAM!RVD-Ig1I)EHgBE_v}bnuEQH-iLyz&@EZBy3%9&?qIP8nH};~@Da?}
zrFrKkND&?N=HQ~G;=o|cAjzWB^{(*0QBdbb|HcVMdTa-?xKrqtu2rt{BEDSQ!aYek
z6Vecq>x-mH_0m}!!m4M_i2p1|b~nGL8Weo{K%ppU;(`^+vnS-7nD7h`jT}Zlqu)Xb
zQ>=s0(V<XUBNZS*vv$)o`yiODdBWS=sGUXIG0|@aLz|`3UDKRv#?G3vVh$NM0$%%L
z_va}zlPNB#F1s46h4LQNW7ySyF0qM@M(O=k&4{ZND1#y}v8G#x6xNE`0qKDry+jjE
zVyvGh7%)#H>f6<uy1N9{q&i*Jkg-gaNlH>X)bh-fxgOkzF&S~_k-L9c#4I)Ya&-MT
zN6i7xtmWqGF2<jv_CtJF-__9<W&H&@o0skRJq&gnTN6ayd+vrh#x{EHar|YSBxhAW
z@I+Iu7~*?NX$GQ_64V!u_($E$qSRTx<^^=FI*fP;Khgd-;Rf{oTs;JIs!(9y=N-vz
z{L!B0He9>O^5VG+(%BcTyF@e|GsQE1cr|^!{q$?csZk}smHg*B){nK$t_zd7r^wME
z3)-Vkr@r2CaY6GwoOCxe0sp#p|G5AjpQZ{W86a=!KQLtC2DL`JY3&cz1T$;32RgBR
z+A8|ocn3Av-&h6iN3CKz8@;Yeysn#`PM&<Kb@|&BsAR+jh?w>_O}5#uUK6sEH&{9o
zOc&OM#vWV66tWB-mSz}%3vQ6wehHO+!g$(VJKQQ|{k(wR4_&{eWBduG%n%OjmpW?0
z;oErdb7?N0gnMW5wt#9$RFe`#sE4L+pdNg&)dJe?2%OGj(YzL?iP~P=wyG3(y4=el
z+h;E5!vCG$;)03^>1a&n9#AyPuwH#8oZ5JB&~W3fpYStrZg4Q4o5BXMD)VsD<~y0>
zMIxXjg=}>kI<I9XmOYwYMEJe4<DPZ*SdOXKCT*qFt5Sq<^}p$*QIdr&v25LIC+Y>m
zm)Fx>z*{2>nj6B`NMYoHTK5;RIMy=dFT)X2@NqaI2vyxoA6eWD<<%exK5G4LYRj9c
zyl;J;(smG?@#PLG>cu;O+s_b8`EO{9+d9)%98h!)6ch<|6HLQk%}9?32OQh{W5@Hp
zA3o%6Y0Zy?UY7MI^yE#|un;1<oj1<xSV)PgfaTKLIpHcXfj<)LseGJ`bro%=KSeci
z@P=8CwKTqP?w@ggXLtD_+q;XYf#Ojy6LmOtJaK_o9I(^1w}#6ilsBAghJV@V(b45Q
zR15Lrza5#W6S^|&ob@A@-;6*+s7Rqxq9SAH)#V7fP}FfD@gPr>rzUCq=}mtYIrHLm
zG9aJif+z?u9_QSvh&p{;5lC+zH+vCjo|s?}5w0|O?>hEhtls+ix;f7cTwF18q?5(~
zY4yfaL`>{q9Izg$x!)YkN}mvVSun1`OGG6u>PHm{rezeqvF2b1+QBmQ^CsUMI?c?c
z;@~=+KN#LLaq><<jY!7HW5%kRVK}`6&TQUQdKC2h6c1<wZng#~0#3Xp@dNzM$2&zb
z+n4Q=>lxhpkHio0`^SqaAan|%gfF6BE;gAir-3%3KgbZp^|I{IgraeUG`!v;gQKW2
zx3fs`PJ1>ChW7RnajcD>*;GvOn>P;a4saJ{g7>$3_?HX)eW?N|A@WTC5h4@#$pAtA
z^9QHF!i2kPsjAYr+SX~`vfi5buNUI#>V0=B0zb>Yg%@rHyJ>5_;*Mlku1I&V!QS{f
zs0BCJ+#U~b=l!ZR6Z-YI=;Gkaw4r2Pk+`H7aUO%0-&dN+k+xs@(dnL1OPFruWi)r0
z?M}DmblZ<I@nd``3D476E3a1Ib*~1?Y7Wwq(>o#PPQg_kYjU{0r!u3=Z71gl%1?3I
z#V~x@<As-AR!9Gvnfm-&3v@fKooBMGnD>&3iYd`lxkaSTd1qbyJr=rC=0(ZpVXd0e
z?wugP=u>#H`6U^}I2I%83<VR34)<;0lqS?fY;xgs?E?xl<Bk$N>i|f9hyQjKUr?tk
z5hW5vCs-ZEjv9nY9<G&Ripf#eigJdDlcPG8D|Tfl&WrFp#5NA*!{XC1+SMkdMk$Uf
z;ye@jV-AC9MdkJfp%4t;${*KHc$1qip}<0F<%T~&ObC$BQNs?$p21|LC1MVxhV`x8
z>i3!-BYe24!^+L!qyWTvT#Gf<o=8zuO?OO7f^}iLj>Wnb5p&1Q`sS)@am@C3+0lk$
z%@6DH==WI6hrz}=n<~6l3)Hi-e}lX0I~g=cz`0usNUyxh!XCNjimtbo48*IxG`(oM
zb_aagoZTqX`F}*$(OoN?)OLmZVP^>LhCu3Omj9~}vP;<jut;!}IR_~*^Y%rLGD15Y
z9fIUIAi!L^ED>=xvryTYUBm+USp11V(3dAGvl2pg)W@3h`_Y=4T-5*e91J+U+`2tK
z={}mi-(Bv8iqEM)yDx^OE%ma*_5H5H<V^OFAeeJAN8-D$9_Ug86bg_@coQ`-Jq{KY
zf*|xE)qrQT2|A(o#o7EnZW`LYhU!Cef9+wXQf77hcT^U=&b1{6J)Fg0nk}2+<hiK$
zldF)he8&?LlN|nJS!3UPWHfDw;J9Q-LO-3B&w7vQmxvgsp}vTn4#{?GRupOCjp)(}
zXW7gt^T}=d*cr=e%1~KNbD2qF7=0DI+#<rS9#~4Nsao|f7I&b8v@~%Vc8(YsZ7Ll|
z<YfE8oc;9;J|~{Z_A>P5vUMrI5UJ-Yl1<jbA3v6qxZE#jKnKrI`P3Y!k*x~{TRNKf
zEy=f)43vUui_l><StwnGRN`YRPnU;ht45q&?dL93Afa@5e}#7#tUI_=(x~ym42Jvx
zu=~1?`RD(%?6s;i>E8VLt6x1zr8*x?EIu9{C^Qiry}SGJ4#unGzY3zQLinQ6em^6H
z5R`?$sG0`u5N%g0&_DO5TmO7c<`bW0936h1#BT@x@G?*j*lYJ$5?yu+W4S_tjbq9G
z_06(k+ZlN6!4L$4gzBM_!U(V+I1K>v&t1#??G(g?&zLa>oe*5Wm)e!L<}QK}Z5wwQ
zjakCjh0!;k?5)QOsrxE_L>G1ClxeONGr9b3b)^gjQQefF=NrbrbJQ-0MRhmxV?=6x
zy<S$Y9d1@m2vufU*o!O5a>uq036*KnXa(I`NGz&R72TI6cOywNkgA+{4I^Om0uGWi
z0z<-_Thz)DJM`Cs0-q~j{R&EL>P>+DIMURxJ)!)8J&675rK#!g6lS<3yieb0w%+!%
z=vUhchoK_df#)k^vC3izfl15e&zHVpg~T9$4Fu?c^*kiOqFIOiYo7780r`rz=!!o`
zKkS$x`IqS=#vm;C-%|n{ERfeyO4UMhMN&V4YDI%theaYa^3bfE2>G-k7b*cI6n4nJ
z-Ck%1BKCbg2y<juSX{i@Wm0)}6Uo(B_V0f3<^-A_&lEiAg)ve?>vKqVgr;PZHgVps
zroS-lU_)7qRXRg2p+DbH*Ao;jcl8PG;-iLzsn4SLl6{_g=?^ftE?JIpu^x*Tdgqeh
z)9A$S^v*y-KloYtM8E&jdRYFQ3WnM~A+kuojeWgteXk1)dC{j&O#ImA*||4)o6sVE
zy&Xj{@9T)hMlwyxeAl~Tl`E>V!y;R)%cN*QEUAa<%)|AKk2j?YX(p>i0-o&-vJ$B1
zsbm=YMfRyT`wf83Oi{A;*~|;@FI8>k^Jw}>pd#5PL>`mbS-ZYdaP{76Wi43EHr-*L
z1v?LN{1IB(!#-tktX>GoA#LO%ogo@<F(8htsiVW|s$SaiQ9fU07HiFN8diMHoIu;A
z?Z}_b{MFIXF~IliG8u6li+2oaRpR60kL&;2rrvX^0*aYgSv0h?vmQqolX`M$b$8Z{
zW7?YacWB0qV<-|-1A88Nnk4oR0_6#4)($Ru@Z{ttI3GkttzgEs{E91RR=Rbywznku
zMF=chGZKz&(PjM)1yAA(U0d(v+i-01pQdJkND$f3l2>i)ns{`0pTD3%WHOjlbAQsg
zR{Cc+1Eh*|d3_&OH8hyVNu#+QJH%)f#j+p1K6_<bQKaAg^++PZNNr113i6t3{ZLtD
z=Ud|(ayU~UdS;MS33c=DEHUD5^?C^jk>SWB3imlac@ik$u^o_|zq-5-W;(GwD3QI(
z%PuclJ(Cx%8sA*HPy|fBH+yNC(zryyP|d60)j&%@ZP*bw6y6LS5xbO*NK}Qhj^4as
zLUTxDMq3DU=>8h7l~%)XHax>R^b4oWo@~M9Wf6RV=KPhrHD>bl$|d-NOp1<@MfS};
zTtXm?|BjdMKr0J)vlO2V{kNK}lp_y)65OOB%xAv!EnGDK^%J0YGJSaa{9HpOhz|Hw
zb6ED<3bY8(P*Zo)2ALJF^ep?(T->h&q$uUloh~eltU8ugyKrS>Tn@FRW;@}>#-9Xu
z3&5>veOvjIEUJ5co1Bl_Nn0G=)V{*3!o+@Qny?Gzxil^DZq2YeeJ$9jw3<#92Msd;
z1(6<~$Q%+Iw_0v?W0hYsMNDW++XJ=%*9A_Ltr=Pi`O|GNZ&!7FPE0TEYx`Ws!^0ux
zVck#_jCM(G3XGqkt#Hyw-+IS|wC{8=?Y$ej#$11V12pHa2%ftB71h;hZrD&+bX!bM
zB|S)uknz3vO{|2zZaNu-5$GYBE?`p{Wde_gt|Bt?epzI_Bo8gxLjNMm4g)5=iBW4s
z>u~LUs{KWK6D=i9m%$jYJ#^4gnrV#$XLkDRc%-o}cBwc-njm#Qq_Wxuw7HM?Yr&Ig
zG`@4`eV5o@<0{^HLWhON#Kr>9SndBN!H=>>hGS0~2jSPTmEf(>ZCthNs8aUHas{pE
z@stY-^Z<dWHfJ|n%1ikG$;x~c?jmDt1iDhWVj`J__g_NeBB-6A@H&kGl?LT3F=q)C
z5pwXMkFX?jmEoj%L{O#h5?$PN7tO4OrUq#p)+@d7`~Ft@Tr5WWT$`$j>eBZ8K%Y1l
zuI+;EqHbSPWtq=t^^lo4h=O(gkB+pm^wbs$=OBqZyru8t3I?$Ns@OlPTVJKfI7JNQ
z;F!-m-yb?Cg`H7oP`b?Q-Ig|OQ6Q;DmD4>E(h}Hw(sV{a33oyc>c>dG;<h_bQ8&k`
zxq}7WIqF`KycCe6kBo+4){q=TihJJa>)HK7#`425QxM%Lp1^+fRdBhBg3zn?jG~;B
z7qO_eJVm4z^^M9O;J-8HPbVBF$!=7D^T>SJbrwigmI()?Xb+9PRl=E0>ELATK1N*;
zH>}s_YHwvFYsY6_WeNm6w(2f-7`|?2?kv-C$mNSx;nCRjc_-qTbl~82H|X7QO7iZ(
z*f{gE0Wm63pD?4(o$2BXDFFdJWvINMu%g!F>FvdKZD$McF2G9FexWg&gA-&)9$N(z
zz)fV#zhBfe2ed!_W0F(b)@RBWW1o$#kGps<Cnu&1Ms-@*1}?KX7ZzAz6JDz~rOagW
zM<SlO4gH8li!Qc&n&;~jb9bH-zOPm!a%#6t9^zl6*b$6!Cpw^QTf~sC)EYq!#Q)cA
zvkw)FL6HJVJ_yjD2}~}WjlT)+dM%LkIwr><h02jlgkT(2xi~Rd0HMv3hpdYI3C+6X
zy`h0i*~w6K!)*!IdbxG04CWdvkq%a{HoPVnU+c*pct4Mj_%vkYl;)ljFvCt}dZk1W
zYC<(YiA(aMGb8JX-gH)X_J3VqSU6}Z?*y}BfNXThe_$?Izl)!n+a&L>?pX~2-?l`N
zCBu_&;CW;5?=V<l;xok$4HtGqTah$hvdNMEUrdnlpw-4F9Zr)c;oYwKHprk;xId0=
z?U&NC#L?-aLN9*z4fL|+G^J_H*sx!_zvy#d8X7A<<~yix59JAnc7^OEBe+;yfrlgt
z=PHdeHvfQpF3fO=@84wI3P%aQvEzF4YHGjrKkE9<EX9zk%0T2%Y)PsVTpun&fI&o6
zhrmY0)L@m9c;#-6@F8H#pfkpH_+#_K6`5#_lroruj&+=r{pGAG5{xMGQ^YPN^O`Co
z)G@EG?8h@9DHuBCdu>UZD(X449H5t|5nV|ZEn=be4$BJ7{%|6cK*Z(MO#KwiwNoA$
zR&mwiK2?a4-pNhhX>-RoD7PFM*mL&;Z`R41Y4l*p&Q&9JQYWaB3Jp!i^^Lv@9iHAs
zm+hx;)HcHkE2r7)r+JHdhj<fiVddB?oUpLHuvKt_5LwD?mCe~0+0sb{`XBl3cU$A3
zDq#!x!v<%k8$$XK;4Nr4tY{}_G^6;O2vcHGP-cmJzlA%$SJ0?Y$pmg;Cm2<4XRvS;
z@$cSVpM;dK>lx%FtGKF%g_F}@`OXDcs}Sn%*!Vk>TlqT);%s|eTzL3+%`!*#z))@W
zg_6SX)n6~*2l*p0of-q;p2~Vdnhwy2oeWV?r4g>L^LZ}p4nqz@CM76&4rY=ey2QrW
zq60*%3$p=uMVL3;Hs*GM!Ta$S+j*tG^9O9sp$ZLTw{k@GLM80QHl3&YB0AY-t+x8l
zwEds?5+By<4u2M`AaIQQ3xPoX3i6|};RC*Bo*;<@lyn$fO9KBL$C1W(#9b_nm@qiw
z6%qNs|NG_=mk0}+6_de8KB_|Fh~uAQk)vZfHZh6Y#71}cz8I7|f7qp6GyT;vmg~MR
zgn@Zr`;ms0q-og2ZNmVwiYpg|)5fejG3Abcfexm_i>z*vD}hEnqxx1D!~Q4gUlCrq
zI7KJrzItH{0D@%Vj9DUqv?eu-;fNfhm|)qNtMpo76qg}JDni@#O|ky#24e!}S3@6t
zA%fffOq?DM5)5B_cP~-rU~i^E39x^SDf`;0j(H}BSamZ_oc&~TX8VQ5ju}EE?1DPC
zlgkw#xtIWDu@Z9Fw&kA{;G01a5Orokc@cY95ZjAx3&_ZHKPzi)VbN6kv{jw#Vic*&
z$Y<_a?_lsDhAxbKNOaUKtG=Up#<6kH=!&yw^2T5itY1eezl3j`c>hn!%czj`bZ-&g
z>bo(M>@fE!ecIBcx!pUU@&DNR>ZqvR_{|w4M!HLoPC*)^2N;m<Zcw_Uo1v7ULrS`l
zZjc6P0qHIU>2B%0es}kG_K&@X!_2v7VBY)2r$5hg=VGw1Pf`{+Mnd(l`_Qe14jSH9
zhsnO%*=N4Qd3lu}@$2K>)hPUG%RU-{$RP|4bfu+jw5X7?!Ec=XKx$K==KF_Dh2w0q
zUVmi<Hcu6{K<#yr`J2CKNeSabt22x9;8D@aqTN0<sN#LN(8F&rYPMtBMi*a$l~wJz
zIg1SIF*>V0LE|cY7-?+JVbM(5cU2`jI@%<n3a$$Xa*Qt+a(}9FwFb{1ae5umR)5fI
zcUn)v`0P03v+>u<<9F~^SLG#)KO)swa>Np3TE_dBE{o`~McfmSsS5R4lX(pI*fA7-
z*+kJ(s4847JMdRDP*Zc}o!sFmE{>3_rZryH|GA+7*fiuz^a<)KEBE0wVfp`Jwok0c
z5+^`99LPZ=GgTS4!&~eu9kgF`{_aBc90GWn9^Ly;KuFM#%cLid%3{^wu4n@ba$8<&
z;$pCrvWy7Xf++OEPV$~|crAh+85D&?P0ap`AP%Hk{qk>M9*k#DhFyWxWm&hLi>c(o
z$1w-Wr~V8HbWk*f!Htj%1SC^52%~H8FmoPF(7{9W>Xklxc_$KeUlt!L>lwzNouSu3
zUxH=}y;{fLSNae{w@mm|7h0eg4$9w<EngmgQ5}u>==Qe=LCVudXJ7H)R4CT6SH2EC
zq4Rq9*dM}DiYB{;`BFY4h6Lqhwca7^3U+d|m_CLCJZ3Ba^2%UQmlx_4nKE$b&tTkJ
z<31a7sZ|ZPO>TvngW|e?x-0RoIRE6@!Y=w><?T)+ys(~J^@uM|S8)HVHFDTVZ2M?h
zRTg_YlpzF!2kX+~SI&C4+5AH<93WK7P9<{C5Y5obdHSysU^($)&8MY)2LEiz^jR=8
z;l>lBWC8BNaqqCj!^1=M<pPaV4QD^yxYuyOiyD9A50mVmuqs}xK9tX0|L)9aqWg$2
z#Y#_JS`-|PT*8Na53H>Gv7OBxtDL}mDR$E;JPE<Qx)o!wC!au9iTON}#}dJ>^x$o`
zrZ_w&(D(XCEarlGR%!V2c-f1&eP6g=ZRav?DCyh9Ya2Y$$lBo9xp9)qwL1bja}){%
zxa4~YKlQa(pQWzV>BBoU^Vxe_Eq|Ys*u<BtRE0&VFH=9b;8uM5GMt7>YPMBsr*rVm
zsr+Kw;dKRbVWmL2k-{IxUmQG7Ev>Wv2{I=~k`#^P&5PT`B6hoCc^qUHrxn#g0}f}s
z5I$P`vQMQ3$F&1JHJN{Z5a5O>DxzP&2bEb_DfQ82bFtpwn=`(RLBbB|%3IMoX#H}<
zocawDjIo%tKi9m-{YJ+4Irx|G;T?+=7d>RK3jzVrM|3}j(A9mAy3{mUtBYl2Q(&uX
zZ^Bvhv}3Kh^d4bBLcynv>+W|A_^wxSrmqzgsqn+<*0N+vzYQ9!nh+-y#<*S&?`GUO
zC=q4;pzu}XMD&W4m9Ip`773l&Z&`%Ml#zd0=JjbG4oj4v!keYiXyVKd>XTQ?zD8<a
znmbVa(dt5{a?=meH?+Qia8YG)Up+Z=zPw#00Kh$Ev5@{DJfzTvQ$w59J%u_8fNWIe
z+F)hUs}Z+4_evsIIY0Z04?l0<@#-70y7t3rKME%FP`l{QHzc~)K!eG|Iz+4pp7x0y
z?>~1zlhcW_I5QK%4@-4etZvD2X4B_s{Rw#wXnIZ@xBE|<Z9mu#6V|}UrlM7AVkS4a
zE!UiP2OGliRs83f1WUCI8CN2Bx*Tb%<Kpnoo%b#d`q)Sen9#t$eTxt{M6F!n&qV+_
zXy1K_|0l!!R->PD(zBd*c9fA&yXLPMQFIQuwwc>gr)u`)FfqM^j=@8%(XLwr??iNB
zSXObgK*N@|@%9K-OKvgGq`2HV@!vX!M;|SGXiqsG?fRr9)mT~f&S^nPTWEA3C{V^w
zqCF;3;_y0=ANy?fHmef8pN2?aMhP^U{_xLp5PIq)#ST;XQEcKU=Jbg{P`{~+v9z0j
zAK&Fq&~`5uw}Ff*!zS6aKl(a95x%w}*nWvfk4Rqgom`&CN%&A8O-^n)+XW^v<u_S#
zI)_LsFxHCk$nM7gtq1Xgm7!SrU3cog*Q-tQd%g$p@nm0;zKp<G6K3!y^eqdr`k}6=
z`Ph?2I^bYzB;=jfP&5gv2fXzfn&<2}T>0JB`sB8<#6#v4dP#N%cpYi!3r%eTXdFrM
zecA%j>ZPoc0b!WmKKh1!OsC6kck))zf>eLmLj%PgHQ!YK33%yC-arrrLZ(vMLOUUk
zO6tueNJQQLm}U$w!Js3CiU_gK=D*c_h9I`<b3E^$=9s}p2Jd6I`sBZs;IBB-g^Dy_
zuaKsKX?^h1PAUiZ<D+O;wKd$?ne{Qj>^A+(bXi``B)6gQltQ>{%>v=VpGMW$jZ>Mh
zmqy1!@JDxEUy>oktQSy)X}B{mQ$vD@D*J1vHoB24F_+<z@7@6c1`y_ZKln*u>?<rF
zn_o!|D?XQ!=<Vt0sk%RVc<eYl)SaYeE9ll$iinU%xSm>lLq(O?lNn4HAzO#NbeF%<
z<7_`vVd^e7*3l#aZ$S!jNo7&m<gEGPSUUcq*yIKWjbDq)ML(5(#<%It<T3l|Jj-G3
z^v_TRAwE2p9~lIJqN`-Fy^A}{6dAr8Xcm1N&bByyxbbLhI;UVFaDTR2o90W)`>9?A
zDLiP2kqw}ppJ-@nPh$B<)zK-dzA4)I@Lq3j;%<<w(gLsMQwFDv$ox-_{)JiUW|1l>
zf^;F{wsNPeMn^mjj>X8P+20li`Ob=xua*4eFUsK+od)b{x>dA;fxK)vrRG7b8i_2M
zL2}`Yy3HT-XXLBj5`!UK%rJIj<|rX`m6BW_ZdYmqp{ZKoIC`06aYF`Y`xlo#*8ms_
z38jOw4&0S1P$h`F5uu?7?MY1wltfX|f;c=}f|PNpKRua`m8_hEF`f@@Zd`L3Q05#}
zxa^ld+T}g`Nf+~?oc72tXw*EOisPMc^Pi~G<t+RDs^=gSFmBLnz3o@+oU0W)5H&UW
zbNNsZb?ajwl-(xF`DiF}ZyRLZ#X2s}OU>C&J_nZSRh?>~Lc_cHkwwM@eh_T`FfN0M
zv_AAK5T9uL^Nv~u;pG01X{93)YS>{0yvQ{T<qRXuX#X754nuCJ&?*cO{@yj!sN|gB
z+)b{Io)P7m4jHMiPgf2y{niTQL#_&4Zx$v93W6}lCx(;oYLq8^P1L{$@3Ew0of9gD
zfLahh*>ZV$(6L*9F3=`@b+`ok)Bbd_Vs$gWC>iaEMuQB?SkwHDOTiq%&&LSo5`Ut4
ziH#ZpV4H8>jb*y7-QD4!wbFH4^Q=QuIz1^xB2P9WHz)E>y{i89Jw1FY2>~fOCOtT(
z75E%~yIy@U2m3>5C&j4N%>zn>RTM?rna7uz+|N7+bh<a_dVx)ojctsdu9x&GIaEq<
zN%6Kcwha}z89))#!y}ect#<GQUv2a=!|W_gfvH<DtXT&)F{I#YP?xZ;w;Cy}o3ZVf
zbfr&Wz^$9s49%GPN@$}6jFixFx=!HyY6vZ<-s@U<p?>_;saY;TMezhtMBWxE9o@G<
zhFwif(2#`SSfR2$;uQ(5;-?mTE22&9O_{gx6q<*5YUYH6+S2{C=r-`5vx|<xhW}(=
zKrIkLNm2)3*h2QNxy<*ttCp$BKH(y)cS*|0R0j#D8B>pNaAIO&06_dlKf-r@@JD5Q
z7nyN2uJezg(KJY1hNF$&e{w3jycQLL;>Jh0KJy@Kth{VSaB_nath*o}^2BFz<_^6_
zH&S7T4IN$Z`RAR-aHr$Y5W|S;(R9yyf1ICYWl%J1c}+$^DO_AA<~kAcFiVhQZe=rS
z9ICAhI1mEHyQ}Hcv!SAaU3~e|%u#va{jn_E9?dP?$5(EIo0(kSqzpr1^}LBzCbp6U
z?aLn$uY^8HsQ%2JwWtt&lEhJ0I7CV_hv&7n?N917tRPx2oV_10VXtt+;k<jXV7VX}
zOlHkr78(yU*w48E*1m2^7mz7O0^Clv;a#`A_H2{#<F*zmTY&BZAl@?DN{{UOn=^>s
z+A7}czCZi;D2C_1t6&0DEB5>z_g&*11#*`^yP4%i7V2(hhFk<4#Jx859>*LUR#>OL
zL!cX8&F~YOQWz9guXQN&t&3kvo&bTMQG<ZwCl2$uIoy_d8>9QbwvBJ7sk5&<UFwX*
zcJjiIk*Ouszv<s*W&#%5<C4?QMg9l`M3J$in%cZdHc=9j8U!(Ar(9)?Dr|fn&WIAn
zj2|>W#g;8@5O7(xu{&9%{rkT3Du|%0k;x_jzW1<l|4^(@Q7uq^B*I(S-f8j^+D<j=
z)PfR1SYFj<lS5GwTNK@fNkc@wSnuTK=q8so0m@-ERSANDALRvGAlP`mUp*#aA-D2Q
z++P$+OVdUz-HirF1w;b|Hfm;9;CBDDTHvu10=o-<Grzv$FmCfA78~^a!ViT0;l@=0
znIpuGs~900f08Dw-L`*bDpfSRjeV(9JQdJMCHZy#c5AD@`AS<P>-!9aC6@N~?fW&V
zXz!(JFetX8FO3BW6r`R<DHPTnNJ9;#nIKj}#-&a<qh4OP49lX3EJ$Eg{dn<msVVsz
zE*J`h;!c}VH1^hS;8b1e<uF5N;p+Vz2wd}ivhPJE?Vuba(U_$t&g)9t=W5|6Ngdx*
zi_w1bqmN!(VpfTIqm+`MX(zC+iq4EB?F3K+|B@WzU0QlfVlm3z*T7-&{FOw!#8;s{
zgf9oq?Is7wekDOe<pWt7+Iw6+BM3L|rueaR)E$wGs`*-)oSRTcHumc33J!E4+w&V#
z&C!}iu?)L#e_<{Z>xq>wKG)klaud#klNC<S&L(pK{4&R1ualX6RxRk;Ra~yB01_+Y
zPlJgMAer7$aa>FG0z|zpV+C;DMICoO1?VNOJ;251TbE*KxD_r8s{q2#q*=`ihm|w?
zRqU`Hm(&XxIfJmqv&#s062rShr5V##qY4^TqHo38w8*90H^Zy-Z;OwAcHDWAI1rQ-
zk_6RS`Qg$|r$tP52+5f=i|dZ8nExim==4;5|8aF`49{6a?i2Z#)uAs(${kwsOuY`{
zrfyJR;PRLE!-bt4rJkPWeL}`7_3*n<1rQ;acu3>&<k8eOQBh_HZoe7Xq1U)RcY51K
zcECV49;>*(^p4kp++_B!QkhK#DZ@LZmOOAlt_~(;+a0O@Nmsa8;l`yzIekVsp)J@O
zslLo%OrNS--`CxJvmI`C`Z$oXHM92!G<*UL_dtXVQ;h7t4QQhV&@&R!x}2_0`|O|T
zt48Dv*0SBcfyXTM(*sT6K=kAGo8ZmXl_|g>e9jqqvg#{5ym{8Xuq2fQiwVT%60$D7
zO#|_~*0-f-d5I0q8R!WVGygD;&&+`S5uF8N_qofnQO=m8ok8Ppo3F-GXLnc8%`L=n
z$!Vbk3^HK7YD|&%%=k5-vuj%|zG~w#TLljd#R2EH@bKN!>NuC8DyJPE!Y1B5F&uWL
zbg~<@)aiQT3GNi`_=ClaPKVB(E~<+AIgjCE$G*&p>Q>D<7?7Wph2X2pPNiPjfRJSD
z`@KW<5xG=h+6f=if=yAqhy3v=yQ~s;KA<SEhU5DN39z@myl8B8!gc-0UX&-OG?l_(
z0zlxwyKnY3Fx;G)4rl|mt+fA%JMjo0U=E<o-d1&8KVChIf3QZzb4zB8G`ZQlYjRw<
zJ+_}!mlyT>`=QxTnej6K*r-`16#DI(<Ccz6`xz|tkB`$U_S+)IFOcH^Zwh}ytI`sr
zx8UAY&gQ#4uYGN2*9A6`0D9Akh#){CcEWGQ#v}qEUpBY$I<Bqj;jI_W?oSP7YCHS;
zpY%Xb10es=aX(W-`^LM*m~Gj1H>J+wThje~$nS1PZLZ_%1mLWmMt&4X`$=p2v9;AZ
zd4Ipz_qvCHhg$MI7@2Bw1!sE}6HW9*-bfh~;d$*_CS+(-|51A|och3V;R(z05k3`W
z<q)OD8;Gll;2at0A`kvW{h_Ou0jK1x*4bmJk8iVlc>nCd7yAA`YI+QM4Z5Vq4+^dm
zn3A%jgsNQvrA>#DT<0sTo~@%U|7|laN=iz>?Zrm_<1>fG`0()X49V`ftB%_rud4hq
z+MlQ^F3YMqgtEt&bpFj;`4ZecDnMyJLi?owGOzWmbE1p(J3j0sa7eyPo%6g50u(3N
zvguhdPoAc)1vY#s57k}2w>Z1VQ065?MGa&aC0Jd-_6@p^S-ak`+WYhougfK&XO{BG
zG}qB_r#7#&yCH-z<t)qB{p)L#_qYQ=8B#j$3cIW;<TO=K(=LN8i*MoHfq{WQQwHX#
zzKJz&4<~;{{WxUkjiav{RyiKahKM9@#=%KIVRFjebUqqrls^aK*IP60h>et6mIxx7
zx3w$VFF&}H{v<!qPX3Y_JWU*m)V$>`G@5#2FU>{9Qz(l*-wtnAckaHwSZ()}R=ZF4
zrx(f`3wiy|Jp0$62iHs1v&(d)q8h2S2ZECDR8d-Upo0JU&hu#5`?&r3=h#>z_lg+i
z2pdutt{#k9fw^@FO}Fh9qjh^MWhznz`A4p3+Z>0FhtJd_)zgij4Xgb5NrPFuwWasp
z+drr20$k{za$-j@heqsSz${z2`EHak=j4BE8L)9HB}~BtH@WfLs7uk(7ywAQlqlP_
zZHaE_T#tW$P)}?1?c20@xUjf9bIT-U)o5?CE!VmW>oc|9=ch)(a}=5n3Pga$7qoZ|
z7R+qsO;=>JPkztbn(ub~N;Bus!l#kCy=?V;+Pq2ftf@LMw!Hh&+?ljSX*H(~5BC)L
zP)MtJ)noer_iFwTj(pRvqx3<vkjlCLz|T<3PGv<`@k&i^@oVAB54`seH@-u1XD7dV
z;F-g#|Dqh(MEd)8*T(?f08Iz$nObiTCIH3)pycAz1^9B3Vxop@Y;1V0`ClI#usNJd
zP}FdO0IoieJSqw;Dc9S_)x=62-dIvhCMke<C=Tv?>T!F>SD7FBuFZ*ID(9_P+3Y@_
zR{EMtJ_pYIVP>@zjoySyY30w6NKo#d0KB__$D}VU`Wo)}9M3`_xm@nz*q%MVjlZEV
zztT4@iG1O2v%r|3{f*c3lXERY>nr_g2pBwA)W5p5*4#q&$+=q;x!lZQfo<l%FdG7;
zF7AU**T3wY5WQxwJ7mbDQN>e`$?DC7apQ~rI;B>Jj@grK5>{ovo-rbg*&KpC>8g&S
zPU+8*SoKH6Ch=F>WGe78zPs8wU0_pEc`4#`Qsw#}oH<tV-|lkj`TgMy1;0|=(C;bU
zhm=Oag{X0HKx*-)0~zn1mOQjRw?~2?IOzMVg!idSV}r>&Y*W<tP5~3?JNM$y*<_oD
z9{k46Kt){lr`4g$QAy(A!*^10r(zN&yJK_Xw2Bo!PY#Y-AAV1ctf~Y}r$d%^UzxE$
zhDN+&S!_O{!+4MyW<E5p)9$n1Ix=LxTU=(oJ6*CP6`_Ma)SM`_4!ZC$SMa^(1&{$I
zj3Bh(UAC0CG)gwJ{XYg4`=)G!tJ+7kC~2!UeMi?Pl)alqp62o^X1Sy}({yv#rgs+)
zt-QmX7ekwh&WrbLDD!E|T`=*aTV=!5lZv(8NwuVw+3;){wcZUGFsHmV0P;#oQw27+
z1Z}hb$tbddL?IE8<+Zh{eIa;gPQ%aIgHE2)$FYaF*mn;A)Rvo&#g?ll>vst6ceyEE
z(U;7#`n%5^p9O*v4Q*@Cce>UDb(j?RTBo<e9(8NTyXFx_6Sa8^&o8}lV6p3e^-U^k
z^e4Et@xgM;DQ&qv5>w4-j0rO6^sJl9pF3x_!&T6awDt<R-8rtns*!MT0y%5!>m;_1
z6yRvxSVvcF2m*vv38qgf?_QJ=)|zt_HTqhD_hQ_R6Odk=lpa?rnP3NuYV&C3lK1F|
zNPN$Q@vJ4zx80fpXNoA=pP@nM(c=<#2E!x!<r<?9a{_>FNBli){n0{bGUL7?egAVT
z?Z53|Xp{Ds8ZQNB;rpV<_&NMKKrDN$!$18?G}r8+z-NKZrzg>-5;DhP`ByO`w1{b+
zRq;U_?8x7oW}le3$(Z=nBA^CBZA)v@AJw#H_CGun=#3avIfYnRI%5@=*zWy3=;^cF
z^%X6{s!RssCBQy1mwn-h;LI^YWTi7IQ{seav$(MfxU+@9`D;q&c&7ATfFWuugkUi5
zr^LeaeIbQuTgs0)gKnTNGg&Tdx}xnRzS_r81W25cc2ss_L1yohV%x?a^DgUtRb|$}
zA`FqMdQpplbF8M>wC9|)g1wKDSxfC}fKXO;)J``yXxe?{<N3cvlY1EML~N(>-G(le
zWa_A;=N?=*UDt%LZ^^0i;bGU)Jr8}3j`7C2#UR)V+D>_uWc~ato)oJM<HsIL(t(gS
zk71H-KSIi;(ZL3`=q&lLPdgJYs=?n&0^*?&lJc67>|io3Y{N(gmS_F4IsBJ@ME^?u
z2-S%FnLqqyE{|vEna@0LEebvePb~+WlgpRSJZ=mJ7<@qGHRz<=uUU03&E~hmw|XOD
z@<cI~KGHdb;6rh~eX>MJ3dw;wps&1|pcdLj4t*UAQbpyw4o9akcrD(%L5U}A1zKh}
z$;{?6LIPa>7}9rQmGC;}4<9}_3t?c-)(Nrv_1O#FZVB&FzdAIv#>U2oNl)^}&yVt`
zo%sQO)zuii-%yqAVfP9gSQO*%qJeP@W?7SrJ0S?}^`V?JWXgIM*Ak-_qqT{a|6a^a
zS$UQQ0>YI%@!Qv?p>`m+Lm*5smHKyGHo;I9*vG16*2aOM^5<pzM_8Y^CwxQx_#Cp5
zd@OX7tQ_Rw3At9kvkqLuttk5bRjWtrQ>Gbw^5So9qU-jy7%q3vbH%{3hKZA}Rcjt3
z&&g1~^cBT6Uw1exsmM4=fCF19lhk2}MK(Gq9seSg*;M-bDt)(rtS8;*yS29=4p&L3
z$2AR$VPVX$%!u{Iz=i38XnO-Fz>-*eIdAN>=aIt+=2u5D>Z&D)xX^3Oq@eM6)o>6Z
z9tNfDCtgCHBu+<|$(@(9m`72A0`Yo6Jt2v2b)YJNa+)02`lV#4fuIkB9!b`y#*==p
z4hj>JCao-El~pPJVnXX2xMcVx)QR6i>2Vx$l-%iR(D)$*ZS77y7;RBqpgdTR^)t)2
zpQPsl$juDE7}N1CAAbrSw{vZ6z^|1+;2fK@O_%2Y8gal`YvxatvZId1sT)I}1I4gv
z&MDw7eAe6AYnlmEqWzPxlp?h@yU0eLu+LJ^L`zFxE;6qgk)T`q>C-c2d7~;Mgl?H3
zfi%=+IvLTWi;oAT4(?@bG(}>1?!Z{D_jt;S40>K%=fN!(om)GtPXi%@H!HJ&g8@>%
zyH>qdXVC-aI#*}hQ|GMqmxo`iI`8~)@dSe*=ulJQV1+BB9KO}rMNpe=^LN&0+@LVg
zTfTP6)VYJjLG~Wm{nmVY%0<uR8@kq%Ncrwc$u{G;Y<)1EowzH{_Ohk$Gg@M4U{8)?
zjR6r(<?VADU*9{R(F`t<vBgRf(eADyQa`C$5Ot1;o<5()T;4!SOS^yRV?4_9Q=~rm
zj+g)`NfsR)A{*o~?r2#@WDTk@mxF+wt43;l$D9b10CmSUHuQ)i`y-WF&uoYV)tYNC
z6TeYn(7IQf4Gb1`?)>$Lwx{=!ky-8q_kPUv<S>R15vlBTFrfdaL2@t&O*0hMU<may
zI#a}A9a5aStK>+ANs#?6zZrYHeA9L5kSH>m7zo2Oyz$u65?@F1ohfL1P;I0Z+h#F<
zTiR-E#Byc;j|x=FCj92j&W}a+fEM@Xe#Pg_$rcL}6L=uM<8+lbc~14RBWHvXF-He$
zE$()_<b9+`>VW-cWMl+jq5E&AkHI+EspXP9X}m1)XbndU6Ifx;(8h4@N;EoO*M&sU
zVK#mZ8pvCjUV5#KLrf|TA{tu+8v=^F&stD2?3!7;H}TM2mr|xh88soRO6+5mU|IP1
zt4(Ni2(>vNK;!B1x)OeLWNH<+yfRcp;_w~{sz5;CDrr|wZD}%}YGw|r?{8|aO@(#R
z+6J+SgOHNF8r@3d$$nd>B4mm7ua_6{-#h7G-6q^~6Jl7qgAC&NeiXAY?_2O0l2~1y
zl>$*~Bw0P)K>&v_Q`ob`lIK5NOF^60>UkV7xHRV!%*^`b;}kzQ_U;C#W)~C!;G2=4
z@C17Kl7Gh9?H+9cQ?XeEUR)3vEy%|WFCUMt3q(3@$0av{i-&^J7Z`(!f`S}Pj~oi{
znNtycB_MQ}7IJ>hq&;cW>6BD469LPIBH4(?oW1$>NxJ(%QQh`>HP{=+w0L1feiQYz
zfY!zHu4?y*jD|jL-DnX`NBhNi2cZ86(nnA<&uCALT^6T{DcZ;UT^1u;$M}eJhpq_s
z%zP7u5f=_stC0s+S86vJjkdL(3KD=oE|G1e`?s?d22|Hahi*W0^50^63y?=o@*ZCL
zq!XEg0uk-TPM)3u!?h}6uD-rYg4efmzgpJ<wq7K?Z!_#Ka&B$a(-_z<gEJz}k~`$-
zlbladEVHHwed-#K43){J|G{X>E0+{(yhi_=ODZZjRGy|Tiiw4#t=Wc0;Z9gE5;u?Q
zJ?~Z6mCvraQvdkPq-du;PnUpr#?t_YN`K*DVUaBz2-DSw2VQOe)3*4z)oQjc8bo|;
z->BY^i7WZT!ut1tL2f&#VfX}3aoUyqosY+hbBs{=iAD4)(7n$<gE}gugW;aL8iS3f
zh`^pqJl^>CAWo9MTjy3>{T%R{;g$84{~9;3f$nYqni=qzS)9>8aZ*{^06<zu_b&|<
zpq2tPu&J^G4V50lVamttr2#&9*r9?yF%9bkd3{gguT^D{Z<BB<y!=3BRdilRK?Xxy
z9yB{lK_7xHwM>7mX3iptoK|8-Cl?#WaE%uTvm2K_nEU0n%pDA*l;&Vp=yNQK@n6m6
zTh!;|WyARmHM<R44Ut8D2&E1d#A(!}es>{l!d2>NAtDM*i_?DTy6MwTgnUg<8UhBR
zL8!^iD;IY%jNt-`{biC(=NW#AOcU6F&yX<ik^Db!W6`|VyDIT5P~I+<`4<x~0qG^L
zwEGJ5@3f<V><-~|$ggQvTinamj!C4|v}RnIGseb<Cd^~{cYJZ)j)@t1jmZzSUCpH&
zPB`1t``oYIAJp?FM@SwYSfVxkIQ7uiGJ7N6ak02_1D~2{K@T*=q@*Ao7-%2TK09<W
z;R%tKGvH2>2`ON{3`^PfG^r#X3yibH4^p$SO!D=f!o0fVoC~fNRc=HbT0ApIA)={<
zfXb!(I!o?kVh5MMaT@qy&BLxn2<(t{2F`E0IcLnPMM_4nmYSvJB4F8<W{1gd_dmMg
z$2zb`z^i!mw(<wRAn?I~)61Hi-q)Lvq#Jfs?N=dqE54m2?8}AM{~hFV(sw{rK5(TM
zfk73Q;yOJH!?kEQFEPUaz^7T>QS%zF-K^%e!@ieqp0987Uarec8!AQ4k2TL@gfZPN
zq_MIKrQ}h`(5?Px{#tX?_nW3Gsl~bm3<t4WQZzMwcZ@}&TJ$7aK+w=&^>btPd_%v%
zhym+|e=)-fOrHAsU8FytHFIiud>KL6=U^LC>Hh->@|`-cHmYUpD<{C<P--AR*hNi`
zBue>0TgM>{mxOghvi77u{CSj`DqU>(t3;Doc7-K@x+u;)iZ?r#f-WHxpqy@tV0b=>
z)f|oAH4sJ=|8^GhCDRpQ9d(o9L9pW{#?*ogR9Ssjm4DzgvJ#-&`qJ#MH1wy$^+<Rv
zV0Qo7<GNr@U{nZ}EHYO>t#r9+MgwX(zLGSpU{RX+eORmCT&$vPu(UgIXzu&UVR2Bc
zRx$qj1i+(hYpGC$TW0gkxW%0S4&PimM#fr$*ZBGAW6ARjDs7lU%=r#u)C)NS+gwyX
z4O*Bvx_P~8G5jbCL81nweZUJLQA1j5H#F83tG0$wZRS`tx!h6VeA12|Rwmw)#=y83
zq%ODkbe`hlQT5Bmd*8cU;-r$FzV@q58L9pW^`wrF>ur)>>9l!Gz~f(M7x?wj%IMLz
z8C!Q37w+^?{)N^Cez}C9_q9L(Y^e6?-_q~i8{C>jG+I|&|9442&TstuxC5N7_(4(D
z!Qe3G_3D`%ECY$%?ye9GV>C=mwGb|QCTFYg^B4ZB+Y|H$SKjptf=&!HISFX4EhQf;
zy0z==KNwBeax9ad!2b$;|M=#W9Lw`(P2c#<hv!L5Cv(T>h}<}^wOo0lefD^e!GvH&
zWRNug(<Zw!M%x04IA;by=r-gx`%&zo>f(&+OEyMDanQSH>3Om#NXj((npGfa9nPR?
z{R+QO>fRhaR0Re`p4h{U8|f?Fr31hOI)1phx#{bZp5leU>uoN0NHIM;JwMam=(HsR
z4OYSb`A0%{0HZSwm6(XI@LhA2T2zfq+DdyCqQHigmL_z2%+ej}!ORk~7WPh-w9V@C
z*CA~epIZJ;s8UPEFF@7d+%nS1I9cVqx!S3b36sPu$M%J4xoY3Ul^bNRs%_1qxaGBy
zOC%g!%HUVG;anGOHc#183qt@|G#H9pHfXDkF#dLW+L<+CM-}^{zF3RkuYuL@)8-ZP
zROzV*&T#P&J~;7vZ>i$fs)l!-MJllo(<65R-Nzbl9G09ow%G?6(U`28qEUv9nS`-R
z&-VooJ4rgm-jDY;0KKk~>%+8;-GxjcISbl@0{rn2sAUBhn{arvC;uxUu~M)T{i1j#
z!l4}b57Bl1GRxJ`^~JA@XMwJQ(uuXZYMK<fk+bHux(3yvFO_GKh(Ei2Q2>MVqmZze
zNp1lMZwU--sN1xG^V>ScF0t5pYoyKUXk1MF9_?pjHa|EQg8iv>KdP9_HU|P$HZvR<
zNtHAo1Yt)p@#5-2;n#N|+2t+W5V54sx*S<}kpe~vvNn&-P%U3DY;{|zd|ntKq~q9N
zTO_8Zu#D`7oE{g2a+fT^A3L^25HB(YkONE=tLT)?L<-jBkR&abe&sG6MvLqN3=*IA
zRV(l3Kt>_=zvWHCo9OQDetd)n7|o@7TUIn6a3|b^D6z++{|GyYM8-2nrtS58@4VjP
zmUHIiZT0=)+NS@JNIsdIesQHvXU-w3B&AN92EY4?b75gfU4ie1wm8jq(n5!KU+fCM
zvhmgthA$p5?RV+_u~`|B9IQYB=#hP3BT<v+a=&V?fPiaGbOtR;&;vKzTg<7ETZ7zx
zgQS8Jq}toHPIsvxI(wC<gOo$+B3<0!@7j)zOxs1xuJGc9_3t2c0@VjN?%%#hlBwN`
zQZcmdCeugybUs>AJh~XSP9eCjHTSy_%P_P5iaD|Y>k^2~a)gfaMkDNJ!y*y0w-*=n
zo>RW?#~6NmBA(iCxJQZQ+>rEotw^#|)*EN63bk<rN|yu$klI%8mP*0me{S{h0##(h
zyac)_i?t0}pU|seDWJCQ(%+OA52uN9uP=k9A-^X$LIDw?NUAYoRwIx=;5-BoIHX*a
zc$GAYecz&90v8z)Psg2C80+E%LdHdLCc1E^W(o!&;g7@LViJ9bLiN|C9y5Eq*!)~t
zir87V<Z>7_L{*xmc5aD*aLe7ae@5w=0{ZX*3<m&#e7}zm)Q1&Q(QbJ^mV^ND4WJSc
z=rJGIP@=ktjEodm6M3c3U@TBZ6!mG>8fFtApKB%4TN>WFWTTh%&@Lh~K`w1-#S|HT
z2NOGKfk)fZD-hAvLJ2teEECg9qn|EMN2^3gRq%P_N0w2fnL$wrc7?cMi_E<#TCLAV
z*l>06m8d!G?kD>utx>~iL4&ju$lx}!LM|FmVAM2XgeZ)7omGa|41}kOU>|NO>sz6x
z>k^ndG|F$k4&5@!5bc+aN-aTGi&EE1)GIKCYm$(Vd>#VmlsqM87i-yCDbM~>w<1&e
zDHb;+Awa?b0OnmZIB0Od0MWYm`#*R+#BkiY8{9RH`s>NBAuA|KAc5+qvAwz7K4b8`
zH$_1Q`#R%xp<O(eulyFyni3m8vQKI+x}F;E`?4T*e9F=KLP#Il9XmT#M}z880*^>r
zbO+5BTte8a!%<9$4hDrl;b&^Go{wJ#D9J%66rrHNPz}mw`H_o}$)h=<%$h{h89jc?
z(k!?%#yu8o;q)Fa6QnsEqO$Tqw9w#O8!4=_)jEJ72GA8cWm*ukI+x#QYyE)3m#+X+
zU}YQW?^je*#8NrhwhT6zlqbW(&owLh1j8|<yTg1f^pYO{lIMS^8D$xT;|IpWwKi4Q
z%cOo%|C)>Pso9%_TJp^+)6@f;y8e&C27UEs13ech0}oCdI>!9DWPx3v6|N!Ok*D@l
zFo?!l5^o%V)P)(jcuXP}k#1y*j}jV$LK}jes?bR0Pxb09V9D?e9KPX4lt*0vqs!M&
zM{vgGVq=1wnr7HPXZ^kv)aG%fdxpM4Tw=EK>?_$hmJXF+7F)`&an-f*13sP!)v6Sb
zb!_YGT$^e8PjZqdq!nc^>x_-y%-9`kJ8iaq3d7@+e`QF=K3cf|II|XdfD7#6lA!om
z=^F_ijGh%n-vlp@GkDjREPHF|Z^3*qh;v8Ow7fkHrtZ(e7H%|_!2kjgP}<pM^yIGR
znwSu1IvZu2sxBvzbhlz(==&+pFfgtvm^(*OjteMn-eNWEtG6(~5XMBx15Kvdbt%3>
zalmQEYbTyVeFk#KX`Z6agWy@b*N=|Zv&A86`R8`QH-}TC)kK;NpLMmbOzQi3dCjv|
z9Q%p=b6=-!27mvi;d#0r>-Oxpqkz6aiU)m9F=++V1ArMTP`JYHzbgRi_3b2^26_WU
zg!KLQS4aYPLN*<i-gF9#=&<uubn?kYNmAWhw$1U}3Vrg17{hApZF~)irx-I{zkrR@
z*TN(6NT47vDjt-W#muzJ=L4h*iLII}o2vhCxbKa`37gvcy?dX!9_9Cx?<h9{(*6`+
z=8@3kXjI<iA)V>jTh?!VHI8k4rlfN)X45fQ5z(i4?_oswLmu6*==bsRosCo#kBO1d
zrgz7UZ$-mH0Nl=QKf4Tn`M>qr9zR@yH)V_Y-{Knk!*649An07+u2)Mq0Bs&XZ_2L%
zIP-u1G63Dx4oeY(F3oK%Ew{h?P*k6*+Vu5}H#yKdw-@z7jRn{CcTs~BYz$_>^pbXo
zDtJ6gS@pY?SEAsLx$`5akQ`L(;OD=(zP-q<wU6m}Ya)$0i-(?9O^s2mCxQyc!wUpe
zC+Nm;OQJRmp!aF2l7$m1jrvgX;$fC#rZ!kLU=~HlAkRu%x9RLRcA6_Q(VqM*?fzz)
zR>T~k^o*KTe#(uP9B68*9C6s@nOpJn5Xy|DUO!xF3hObengbH+Trw5zYJ>o0b$adL
z(`bsWoq+HFpbP=LUrbbYBREj0U~wMBC12tc@U+l9zp8nu_2OrlDzipj1wIEg|G4{x
zNhl-g{Lo?jbAytaU~JecTPX_qqUt^K1%M6Z@WFR%BaFQ<eR_rYV5kwj=LNtV4?@4U
zz7+E#JeB}eX08o6MAS!3usnKgLUB<e2ox2##v~s^&$;7LWRW>P!@Y_ehW&=GzlB=7
zTvA*W^sUWDC7BVZS3}U+*``$)nV10lsKo|$|Fw;9pwqVaULV=>zjFF<=`%XgpPI+q
z*wpmYyt<pt=aXLX9`Lz=^tIhSz?|%TjCbd-#9cRgd%C_-;pTai{C-Zuh{;@CV&*~(
z1~PXs3VN$dAPa|dN7Uq;Qbqhkhvtf6ylzt?#hIG1(eRQ0N~}I|ay!URVCdn4Iq5H+
zm0YBGN9jczbm!6scX^-&(Bh&{LoT%lLVp@{Kv)pg=Gfzi-9qMyS4us*{8B0n0%OXr
zZL=7{QRs0&scTCWKpP@Z0@50E_tUEE?%rJ}6K+2B5q<>VhUz6}%UhI{mhSriDZush
z?}mnLr++VcEbIueDq6JWm!y6Ae%6c_d5w=fZud+W=p@;_!>vKb>%tGPDI?W;Fj;M1
zc%dsO=(kB-;kBS{5cee%oEy+Vs#D|5u+L#6i#TFh5O_HIyp0PxvbxDt&T2uGg>VMa
zPhfXx!=YiEx^nl7%Rp@rr`>z}IKf7$y`&PG)c3{%kBTgJ7c%T&J+}3q!608P_EHbE
z9|X<tr$?Nr%l{0F%(3u)NhWM~{hYp?xS%)=X!Q;tSiF~rI(@iagRd%9ov^7Y3M%dR
zj7TL@V`9HhV3cSno@tmP#gL#k1<SHrz!Np-kIQ9zcZD<_-(*+hpXPB#h_28E=TtsZ
zQrwgV4<<WvJOE{_(q3N+Ifu!F7(U_B)d3I}kohTW(DtfkHwcu63kiBt^umPRL#8I2
zLKW%OcB_78dV+Hl9n>{1){*wE4L2TeRPVnY`xKuOoJ_@aJzbhSU1r}8W#1pd*B%dT
z8(RGDuAJ`so$kA-?j@S+3a4&Fm?O-2e8peJN<jwZ6f6#xc|aL5Gvz&pF#iS<2nOC!
zlzqv}%;M;NoGy8RPh9H5cjGF5v(w`&B`U{DLkc~<p(yfX58YIo6U1S>lJD2-Z;W$$
z4Q;$oK)Z~f!RBYTF53j?DN*3T2t?vn+n7+V^oRyFd`+wIX<T(0T&Nn^j%GLhjZDKq
zx6h9`NjypZkae;hV~C8M5~Jnk7n;A%wvLDEYRmN3cJF)LPur(%@;LkbL?{9gS0z|l
zx&;DJV9wWC%v%o<Q^#SHcuEnk)JlT*1jnoqu0%xr>dh9iJVaR)!-wz!vYp21RrAkf
zaq9NERb)8!6>;0E)}b9&P`BM2GgvRO_i(?VL&PLn_gCnv&IV#NX8#TR2&C$WtNa3!
zUR6RUu{w1FJ>3bR0eYDQ!PcbHEcYzeC<p{&kZ{<)t*zYOb!)NV0P+%y9VgH4vmbY}
zAAbT3b%>~e4WQ(303J*AG(q(+G1vKc*?E)Rxv;wWSUy$>K!U+o-2MC%VQYU+q(^o0
z(P?|zK3u9waVXga&XleU9iB4#c36Xc9Wh_xRVFLbt**Vs30tt(93we27SH^{J6In{
zfwZjRi%Jcd`%d*beeTD4nVfe<ks2}>cbqeNqWldmEvTTN63#H&End4Y)?G<7W7@9w
zp-PV_gQ#F`o)iDso2bFK#>C0G7Ekj~@UM+Me^4AY@n~C<;cEcNejhMFnZ8CIXZ|Fa
z2FjRRn(sY#=T;3mh}1cfC8)O!n%Nf(6HD8a5|8s=q<i481!6|O%h4MDwC-5@@=Ie(
zi@AY%SyBP33|vi;m;a?iYP@WwfCrONtfEH3B4LLFOm#m|GcwvTB#=d)rtR#5Y=HeN
zq$@B>VE9b1Fem<bu0<hU{&*gC;pyP(Kw~LoRe$dFXVgp~I6paj+Vy~lm6(*t0rI24
z+U@M|;}H;lrFuH0dRjex$Wq_?2O0Rd-}%`8!s&h%?({GVbV6jqXPM@K#?c9Y3H*TK
zeD&$!b4vPc9Z=2=#5srDh)}8rXTLX`KPYZ9jPhXwV*NpKN@1KB3UQ!EmK<S|j^i^;
zU~KYis%QW*Gp&wmrL$}LYy<i@(X+B@?}?F+-pgZEEYA8cmh%Oa=}G=Fs<>|WN!^Ms
z9?S;dPvPGEn5M;QKnNm8sU=kLBv2;U-vH!L>RqT3OcmAj4tF8#w?L0pY|($SJ!cvF
z008zr^CAMRX16~BU89+l=H!WGj`|l7nf`A7JYJC2AX)V()V}#NxDfk7?HfuYCUY>l
zTLSH2^m!h0WmVPo9JZ=ay+vMf3AQX49%v9hXsyOz>Qenu`gE27sajv!V9%P<D>qmY
zgbI?ZrgztrA)v*R7oQrz1GSOj2B}E<fpU>SX+<{za1Fqpyy#Q@^>l*s#M%Eh{of9L
zy6fx|bn)}MzpMht<#kLRB0K*^I{9t9=sdybJXy#BT(g@3z=i}c(l=e2;Q*nrBxir3
z1q<z+l@(wlo@caFE;ahUv>eV*>XrO*HE9!~D2pV!Lx%0M2`o<H63a06*tzGb_gfgn
zz_Hdo#&I!?<_Il!&6Zj`mF06hNSET`albrGbi$vIU$4rI1w1fnpOwls$)FMI*2~6y
z*7mQF=OnGkLM8(f(t-ToK1Gz9Xit+s3H8R#x^MCM$D%|bA)&>U6(cs{&qK&~pXqn6
z@9GxHJ-vYv!54-t0G6}i3~QQLzk33$02a^%f}aD0^8B!|va%9+`Qn{VyK%Awz_(!*
zrQ)T(6594$lw{!@76i4YF<zZRZj#*K#lYNG$!T&LsLQ5z`HN_Hjng7gF;YaLj0Z9;
z0+tHJ2+YHT;X)H3pzKne0b0;smEuicmhDV_AqO<*KWv&jGJx*?fu%FWihG^>nhQ9b
zd)%vf+#7p57;6Cma%Po!9cOl^75>!WT4_U$CztTPK|gxzXX=fCfJ&%^2<K7}J?%S8
zfPm5)D7939KZF9hf%Ck|cBQjTzyI4A80MqD4a4#2OOv99fj1WedeyYa?Y;=s>(Qm+
zFV8I0>mq9_DfqJn*-5l)`?TuS4CbK+PNZrFAsVhUHck()aP4i+0V9mcgk%lycd(zt
zeLY_?NW1d~+?SNDwptx7kj;{Hp^!x3tHHv<TRCOSsUr<|JGfv`#~h4mbVr{^^PGjr
zPorN<(38jZGmtX`euc0`sL>)l8x$JpaKBC|&Hz)v_dmQrM@JWOVqyDtVSbbZxDiYD
z0Mn-~Jq;Fh$fu^J7%Mg8van7j&ctMO|M%1g^_x=0n+Z-#rKN4hUC2NpA{W45uI#5M
z{j*4?<{Ysy!hKkASh}KV)F?7z<0_Py+i0nQ<I8JA*sxMPK-h{uC9RlV#GJOSwMbb?
z11}v=rAR|q$`DBnUCmdxd#r16!4$d05?)1P{Ka~~@8;$<Z{N5PBV0LLxlm`-`FOj(
zKU<+7Zwf-C>7d92l9Uzv0s=shv7Pselwpfam*T0CQrqj|vQnRM2{a-iqRoQ^f^ZnD
z*RswgZOf&(T<cUaSCtx<8S}0-WVEyho>n?q6k#Uw%4p$}nWl8vVbB?4s|Ifm&^<V^
z{e0++r}n&~%wbVUII-G{s#<{Yob%a)M=@SatBX;AtLeA6wV;U#S4K)<4|_E=HDJ~P
z0(4;%*kMbDKp<P+r@e_zQ(Jorz_C1DvWm6@5JN5N1Sw(wislb*mS<;YCnn(WFED43
z6_qf)rWu(_RK3#wHS4yryED$POzWYd>5Nz>ro)fqZ-tGy2)VVYXlXJO0q@Vh9lX{_
zd37RRpae^mCm2fVN4ZaCH-HtiwE_N!$AXrg9t$l1mw9v=4*WK5_i?`;*xTE~i^S`q
z24>;<4($Rc;k*xk2LM0Jgb^^>S)IGrDZ?$Mj%k)`#26nX3CPKVyK~G)OG|x3vX++(
zdpOarh(mjRM+ezTYf8skD`u|`Rm~XKtDVj*C8quvGW(6_DXeFaXMT*B@UW_G>^c@I
z{rc59^$zDf=b3PvT88pAwPn%B*x1<c@czyYB<xA!W*}^k>=Qh9-v>xrQsY)X%KdU_
zc5!v3#D1%!r1b9H#_HDBQu2tr-g;e$7{oleu%f{?H5hE9rrFlWSJrv6ci_h>THAUh
zp5P=4L8DJZpy$c`D1PtW<s&Zss@&h-`{CKx+U}i(+s&3Y-=7V?<>dzr<uS|q9k#q)
z;!_&_@ni2a^87pe`*&a+xGLVQCw2DxM#SzleM03GxZ8gr25EvhR3ey*@ETv>6|cE#
zN=S6)q)eiWQ{GTQ;mi^19<3{mp4UeIsJ69@jaU730CYHd{4ev<)2pj5Bm3<6)93d2
zlz@ovUW=pA4FIG+hJ)NVcObx*QZf%y?AuXQ%+KTXg)e_|HhMk$3>f@&HlJnDa0LtT
zzOb(mzzVYMi3x?fb@FsZ0uSTaAWVoJ&UX{T`jf)S*_mrbn6qv07$lR}^PBng>!aG5
zb9eVC-WTNL2UjiDysWgeKx=`Yn2C*z4b`)|pkCRHKUNQqx&o~pX3>Q;3-+Rx*ZHwx
zw=u%-BgB)gfx+F<+M`GBcVtd^ulCg+KYjqH1=;phcYlpRQf~v$;tV752>-k4o0<TQ
z+5K7(6LMPVg46KSloTct%=-QBi`INQM<+cv;`b*#8{&?O_2I}kIoSsu!sjz!x`=yh
zYUvAp7?o_^OGZ~^5{+VIqIe*jXs|Xw;;F5r#Xzf3q$no|C<Ido@KB%&#^{t+xnMH5
zj3IFA<p12l@X8+ZT(l_;9}K|}oA<s0lBPQ4x-_)sTcZlf?|~0i|IY{Unos**XlXqR
zn>?PSuif`^V&W|{yKV!;+gLqs4(q2ZM^fVtKwwZ;VEh^ww4>%ja`KkaeOmN-IiLB*
z82s@ZVD~Q3D28imYX@9RyamKatoWl>ZT>TWkVzr{4V3eC*QhIU5D0}goA*WV{Cv~H
zI|@XGl{4O)F4|Q+0Q1mVbp!!{CQ)uEL4il1bC3G}7i(bBi>&#ZpzGGi7apbsH4rH9
zH|*a(jI8ej=#7C3%1DZ(^DFFYQBl7S9H^Z>9?cdPZ|(+>_9=@$TqwM5rU(A&OE55_
z;j*`+G=wMkn5Y$KfG_*+VH1{3K~d&~g@r@d;6ds?o<Kpu<N(ABBKq$?gKVH&N<0f(
z^m@#MK2HzV(!GZsB!q<Y!Wm{K|3<y@RvbT`3V6{m@prH7A#;9$-_CXZ6x^o36Wq>l
zJ?gkSdLPEKo|c~8c~Qs_KB)GVGKpp`G3L!W0!poFXn6lq_?TWenFg?_PVXLuVvq(2
z^Eo;r5oV;o>f*(-XcV>G?v)K;Gf6z&Z;PA2A1-NKR@~=|JQghe-P{^Yzy2LY6)}iL
z<rkNpo__EFA8xkP=un*D5`pkLv@`MD$qh@O{HYp$!6iv5$?-CFyO%&k(SxvurK4Bb
z(ebE2?sLKmMI>GU0RtRh>oZ<7)znP*078X3x05yx2nSoICDS~haI(pm1d!kv%~hab
zhtat{(i0OC>*D~zaO+}m(?t)5Q86_xJ3D*X6rT=`AFhkjX6&@(H{J#13Vr!+5(9am
z;Qzf)<T-(8|L#y@eZaYA<^?ds3KdfHaS|vMXro>T{M>W0u&}6oCx=`$XLl(ew$T06
z6R5(Kp~Z_G_<R5bQ4eWqHK;>BEfYEj{thK5H>UDEs2Pf3a1MAp&z_r}Mj+<);YuEC
z&(+n{&Hcv-7!_qb*r0pn#6JJN6Eq2u+5!K2Bm0c-<lif(0F3VS-<wGgipYO&Yyy$Q
zh}r>-8Ii{vF*!h=QKnNRc6U&Rfq}8&cs*UBQ3a^e#>U28ftPtH#y-2tu4C-%>_9jH
z7`VyJ51k|Uw~d&WOxlXqkHDu^efBGWLjvftWI*Pyvjd04)x`I(q1V&Q>kg>QSY^uc
zT90^DnacI<)6}je;by^S<-I!=mdOTK);0(?MUZ7RK`?xkTYsuO?lfrHjJ6LMDacEm
zN<6?X*5ResFR-*4j2=KMKKnD2Run$?XXvvX5Mv`)@M8Y{`vf?-6^^VC2}wy7?Ue{v
z{)F1>8o&Ye&k)%&GBf)Pd>ROLUvBWt8Gasojp++_YCUXx4OdqdIqel&ES8<a_sDt%
zwIWMcXD3VAVb6cFlK$S0+CsIfIHRnxMIQDOc$(GPyD+K%>xWCd+V|m=`$aZK@cEhz
z1YHbnJaEG4%%a0~f-zp>#y=-u6nVIq3W9d=j>^)X?G|UR0=xK=Syb&~z{ZO;-1y1K
zNj|$-T?3?`z)Ok9LE+=J&m9l#PmgyhqL<Usk;LsM-!TB&{%OfmNF~0K;Y<WA@FzEY
zp8+@Pgn^86i@?xd=#QL07507jY=wr_WqIAt+a9XNaRZNRVb4m$NV-7Pc|W^Bqb@ub
z5D)FWye}hwl$<myA~N#&aLKc)e|OcShZ8VD5F%Ie?=qVP%xk2u1!1sCV6}VQ%nI)8
z`~}wD{`b`f|L<3GGyOLyCCtAxWC2CS?~n$c+h1vRwQ^c$uc#Q^bO|5)k@TwdKxi{j
z1NNs_{J{o^9A{#PDVvS<8o+!58^i=Ze(EvP(vtpj*tB+3yT5Pp)PlGN&bkVe1b=+3
zW6C?ijXi!_5Y%g-9MSY%Gq35r@_$dO&J}Kielt@Q(BQn$Z{XN$0Vu`xhJ|Xlnbh02
zVWXD9N8dJD4$?$@8xiFOO|QYxVR;o54l|`%v@WaO+wFj?Co%T=4M<b~%k0m7W$V%T
znE3Ie7vaU+?+>~r?Vf_BZ{H38Ys*Xv=z|o3@sFXGO#;BiEa=1macg`k@KPvZ@WI#(
z_`p>l`;Iyq*cA~<>HH68@RUxGvq8Fwr3jxoi(z6s77mVBl}LP@|6^V$LpO5&0<!*H
zP3qb){O|9u?U66%e?F^J8Z<d>{z&p%b{>#Gqr4d58FO<KLBD-P8%e@3%X?Uq?x^45
zw)^;S2Nbyc)0h8TI^Y0_T~2FMoEp)se1u&!z5O>l_`mU~ZUN&%W&Afj-2WM0s4g2I
zHdA(69)a&SXxh9es;N<f0YdEB2uMiNPEJoJ2KGy-85yzD0!O-O*=1O#<17hKY}vm*
z{H+@kOBeQZd_&OzY((+LzZ=MIG-eM(@xcANhB;&5y|4KJe|xBsli|sL^~VA9;qA{=
zbprEh9B{Mwx4eyR@qb46Z-7cNh5w%c0#f`W({uIaf3fz~VO4cqyZ8naMF}aTRRlyq
zLQ+CdQUnwc>6R9dZWcT!jg$hC3P?(KtF#D6my~o%=Y}(u@B6*y`_A?IUDx^J>_47h
z!`^GnHRl-jxbJ(+*%j((|AV`EYqT&WMMCnk`jg81THRg;?SbuZD-jA<L_!+s>O*au
zb?z{L!gOyS?V>TtkHOWH2_aLjcDAWrXPwV8f=s~2$H(|YP0bmA{hfr4%F0Tyll{&U
zm|wyIw0zhV4ynqhtz8`PwAKs?>((EV)>lVKczr3%2vbSV?M;uASPZ~2Rekns2So*5
zAvr^WjN!7o+Au{V0j#wf(=Ieg=+}h#v#aHQS#fMG%g#c~LvFdRlnluC&@FH<eXe7)
zh5tbZAuzf6aJ8zWq$G~t(%j6fVt+Pn967;4fr4zbUSE$&NvRW+gQblHrbp@atwtx$
zJFTgIFNpC!7o=JKQvb?@^0nH-!lELQK|xN=N3~QGy{}8U%(=Ql{1`pseGrnn<!!k>
z#6q%?kaaaRH1J7P%y-JNvKArLQiPi%x)?VFQ};`!_qg;Z2zUU9BYu5f;MYqD+{&>0
z;~kcN4~TSYF~#`)43i;Q&1-wHa;hh(++otJ6Oo;<aa$0uSr?v9etXSW=(cOM)Lb^^
z+GZ}|u=v!XYI_vXH-Ur17;hVWf4dhIZXrVPY$GZWpRciu%9q<e<4IB7TJ`1|eJV&7
zu(+I~wN2t}eErdpA(+4a?O-I1VnL&O{0xSgx#vkWbI<?$c4et{q^S1&n?{5F&~-6U
z5Zl4cS(%%sT~*pfI_AEqK>Gd;VrT5$*22dS_#l$y-P^Y<mk?25m<MtG08;myl2bm^
zSz1~$l3ivSRA;|P9uDl;-<iCk0C8qv4bO}4Et+)90><uFUe+SK(M=_Ly;a+np=KY#
z=@rJQ=Fqj;e+8-k9aHT_0OnK$n2At`9j_yyQqw;rNcad-Hg_Twg&s(Dz|?H8zsimE
zz-|xZjF+GV>JXpxm<Z{6ZbNB<O0I5f%}Ob>Ndq!j&bbGdp%3A1%hW#I`Jptk>%-Yp
zx5!`;Cd$+9fs5CwkUw9~WMu`mL@+<J*A`INgs3G3;YMn@xJU7!+SJEE1a>>_oFfl^
zeg2Z~{i{8^*TP%c1;*JKv$As4i;Q`<1?Y(3d;}fIH2L?1R--}|hO87C#irr!7A`wa
zcz1P;<E3rFBly-~hner1S6q(@mfMQ@@nDyQ`m*fJb9)qhGLG=AaKA;*$hQx%fYJ)m
zetyo#7_37OMp}}_HiWb8Mb6~pwkye<=?fN)m!*_of34cCfpJK0)6>&x`y*?+u%L!l
z9G9B+H|I2|nH3JJ%z9W(E<p#SKh*7eQLv6#`KqGwH|a2ywA=7BlmG$*_S8IRI`ae{
z9R}g5xU>q}neS+d6%&J<ofQ*B_5qGsnwdR7+#$ej^*rLN{`0M{@OIUx4y^vwin&_s
z&Pc%8eS?E4z`f7~<~m$#rjs`SZeB{t1kZzoM`Bp}-&I`I*p+HlMJEs^oxVH%eG>NJ
z1pmGSKq2TQ_!{i+4&nbrOR_h9-2Xp-9YXZ@3qXDhCJdi-;{O6|{r>{Q|MoFF9grMz
zS>+x)X#Efh@s~5+_WO;~r%%VG-3WZ5qjNWS@@wJC$@@}DX$o;j6aYnxnXhEhMcFM3
zz8|iqq!u8q`j|hyyQUIb^C_W;ZmSh=2#K|+sehvZf!pX?SMo3&K^F|6Fc~)gVWt4i
z!t2O0)UR<F@azs(%7R)7ni&p<Op>Hh-~{E}<)O&s4;ajsKUcc&#BUZc3u96v0q6ml
z;om}n?A2!?%IPe^bQla*JbZoF?{eHwoU^a*_xr@h$4^V+Vlck+0SuTYbf=HF4iCpq
za#_CvPia9q1hclgHC%>asKN+b2FX%EX^)Z;BO|A5D_9ico!1*L)d3d56OA>Ch2Xae
z@4pdV6|5V#E*sh0*m!gIU>-11Uw=QbDpKcpayagkNNNH{Hm}PbuZJQHan!!+dsCrF
zHciw}=P0HZefXf)5r5}lGzUnR+Qfq=`G=b<?%UbADikwlQ5*UdY8;SYLI{GFL|lHD
zBzZXQ&qP0p<!zm@-FL6OXD=h!pQnqoGDpiNiVRJymuuw~7&bF_Y;~z>BMyCmlxzpP
z47=v_zC?3Lh$kF3-LpU^?6~|XT1P`grLW>1sG*&6$`nRj$x=1+(~$k2Q5Zo`_6hpR
z6?{F(eFFv6oSaS-TJVfz7+j{my*{s+r!!h(gLGK7T@Wj`94Xa?i~_+3;vcjOjUUYl
z2)r2lSz#lFAeUuUi}1J(!sZ`rF}ae7hRL(|_QhG(sw*jl$HlQR#-^#*+wKgRG{@y=
zlzcbudA*(PA}-?wKXE&JdH&qF{#@-5=5HfbRSGCLJky&886zz@+2GqNg8uM_a&o`J
zKdTotnHO0M<X(FtnA|K2b+MANa?idOmZVC|`Wx~W+yV1n=1MrWwj0!9SvK15GDWGX
zb(Iko_WVQ6n(1}t-+8N!RcE>qAmcw)ddon2*`|RM&o#U1)h;Yu$mkr+_En>KwFl;N
zJJDLU0se2JqiKD+u%<AI`QOl@4xjYL8+u_^H#W(JN{QRKNpqz}te1ZQ)&xqssH!@!
zXF;ph-KE+FQB2f7S;hogF&!{myV^xU5irKoh39i0M~pGIVwQ%Kn#Wi^)J?#8Y<b&N
ziiwkR4LzslXtNV&xs#o;y2cZG6fa}NhV42<oemb##r}N3gOUi`w-zu@n?h(&wt1<)
zq_D6sDk`dD<qQ%%a0~Vwc=oDO?8H4<8&3Iv0P`%}b2Dz-9sWKfBm|J2HdG6JL*$Br
zAML(Vn+|%^5%?&QNJ&ZExpN1KHfOj${uhJ!`t`mj<fk=ta$FfU`ZQ)3D!K#o!BCmC
zE*I6WQp=Gnm29i(^(MQHJ0@P%o5;7#L#z&xw+rb93)8qCI5=QwVB%k*qzv$Ho*F8(
z)U3wF@>zTiO?y~d_RD!Hq`wZovN{{9q^m3DdF0H-$)T1%0SGKJJ3Biw(*>5lb>%`D
z0BnbjB|OnGzm2cZ*-h{M=POhtPhlzpoq{&JFO8eP&%<R?H<b?%K^N)YMR;KZvVW&v
z00T5m?2&dkkqJ!&^L)0xfP&W!^bqTu_4^E==^sCSOp;krfEDrXJ(?&wMr2s?IMwpS
zC4phi%F3!-h7z*usS0IydXlH>PyNuxI+wyhLmC(uAo(N=bW{eKGt$!1@Er4#eordI
zBZ39++RP216{ytWAbl@}c+Rb$$Z$6#&8*3Qn~hu7dGfW7f5X9dU8T3Mv`Y`iIH>JE
z%<VkBTYfE6q!19=X0B0Nl=@%j+A(tYzi%iZeEy8Lq;<r+_q|DmJ;@OO;E+jfGM>N4
z9&^{jbxvDdT^*^zu2@SkQJjOiO<BVIYEq{Fa_mm3UhBSpfy6-^kTpET7=Lz+;+F5<
z6WU|>{$27cJVJyfK9W(F&ZyQMyn8418-JKydjREIOpJ_(+?)YqS?K8K%-up4(M+^1
z2O~Pc?Ck8^4|nTMJV;$8Utgl3r4>fXbPEg`I}(Jai11TCew>8mND+RXqkN)zvtw!O
zi&a_k<?GA8N+HCEYLES~Mh-{%6GDJw&=DiKot#AP^+PgwjW(e6Jeh~J?3Q>a>je1<
zBp-eSWl11g20Yf_>Qva8tGD|#@r0I_^6F~!zWxJLyVdu%Hw>HK+~Pzy;e||ipOJhH
zBwIbHvo1;kym>=RdIuo7+l!Y_;RK+3%}*mY+xm;7aqW(??@b(s1b?oo6{QxJlxVvy
ze5!I>p=tU<Aysfp)b;uudW_55DaS6UOTdEz3C?VzF)ph5^y!a8QMV5`pLJ@6V_W9j
z#t+AEXhVM@6{9K3%ggB6YLkZSkJeq#uDdp8BMosetUz`Pp5mc&@)}V9!#vT_m+Qk2
zqpd{qo9;P$Wc~ipkKtf8&bld%{xKLiT;>u6Tzm&PGyp}@&0resUhd`<2xsTzg^DS@
z&X;P4H7{vv@^+kyF?_S%;Z(bc*0)qcg)n(;0mvV=X{Hx&+gVnABw7LqCpxtR=L%B2
zA!lJ|XNTf8PDUV5%&d9Jw@}Ke--koDc-M5WbLH;as3;An?((gE1abP<i(lIv!f8=s
za(#I7)h(t2ysKS!W`1mc0)T=x7M-sSd|=W)zV2LvcQCeFyBmreLF28KT|1zy&zU(n
zuy1TX5gF8wQJhW0AsKtfUhcZbO*XcNnfWt8yj)wW?3$&^Q2Z7i)9Wd8+kHKK3BEiL
zIo`*fM3h&JDMsw=aLlzDMQgJ#UWW80bJ^p$<$h1nac@`GN3-F^OS&Td7!6p<XRy@H
z{L6EWmtU0D*18wxl5F*y^>D=8z8G-V;oC(rtasSF9}R2ROGL~2QSsh*v-p*;$jF|W
zdsi-m9b>5}!vR02=~mr^;MzaF)gd%4z?b|RX%?{hH8=wQ?<=}oTW8BKFGdQBf)uD|
zvHjLZo*R)#5QB2mi)M3Ram>6^&C1R`*=rVqQhF7LYMNgOs?ZqHywd-GakL{c^3h$F
z-wj9rWDsY#k+rI|yZZ)eqnYW6LXg4kow}e~`w6^(ZS=0AM8AJAjFDKql%D_Bgt?!*
zCP0SuN~WhH6P2dU{c>Hy{dFILUD6%h1sxW+97n7EGGMWPy6Ux`>1k}fjEH1VongO=
zn{(K1ElRVKpVMU{YWx*o(jHRQhUNXaYX3|fc6x5SbaK2~H(ujb#z*o8c1p@w(8t&B
zOcWLM45<M`ymT*mQ&Ne-0yi!_(e)-Bu{AIp*n{oc8S0ko{Rzg5WG88LBtC*=e!D)j
z$&=V+%yV|Kny~r95J|D0UVi^bhIV-a_)|NtNaNe(F#uWnGv_rV$zx||)omO?e`Tc*
z>4J#0%w?INaok=k+YeBCDA}G7avXcd@|e8gd$0h}usdnT=WJD|z&%O1hYvp~mo6<s
z0;2vY$VTn#<eF+W3_$ENXQ>#h?633<yzQ5C-3tyKmkNDHt&*U)iPlDwcN!eY6T(@$
zm%N?hj_B*_TSsou{S3ICXj()02>3T9Uuxoh#sxBr;0WW^zW){#w^=h~)Sqrh~7q
z;c#~b0HbgtMFzbC1Ag_B994jo3~znhuNueZwh8?F_;~)h*nWV&vq&PWsyZ>5q9`my
zIIOMAO~-mJ&p$qw)p`P1yvE@$ood7tYV9O|`wSx>OEh2Sqm~@>s3u_CnBhd!B_XAj
zn)hXOjDRNMxgMlTm@k00+JWMXAJp61+x@B?67QL3fQwnY-TSg9O@TyoE6o2#f-oG8
zSoZJ`AVAL}F>T2x4sCOfOm~RKjyib8;v1WroR#y8r0S(FhR!3L)jw<Q&As{0Eys&o
zI~c;DYLwj?h2-KVDQ3^)`aCLJ*ZeMd&1Q#i|45Z-S29>|L0k!ucF-={u^Ou$iha_!
zw#%tqX}>mB17nL)vamEQMVA1ptju*WhPMnB7)rs$Du+&WhocZBVTq!TJW>&Xf;3Gr
z!MsLpE=66!7e#nod5eqYY!MIzYuj?0nxri#qLNwRxwS6#WiKr*!k;=V53c_X;yebj
zf8!7frBPX*^9B7~Y!p8qpZcx=B?Sda8p6UFgwO|*=C;l6hK&u|rO{fbYlSZV0lwfu
zxCDu4adRR<oFNQS!8V+@0Zl%`FyEf4s+N_Nt&NneK{P3T#!)b`f<7PdadS2i*otD^
znOJx^AO55Skb7>f6+~A6yo|rso#A2iPuW#5O+cn6-s(fc@?`<5coYt><yCLg?2cKO
zo14FQ;SRFJB~Bd?v+h(=UWCS4<fon6pji1-C=|gRVkbu(wEr!`qlo$6kcBj;(YPc2
z#>on>x&8ub6}CpZc~5iLZJ~-MnKy+ouk2Y^_RK)P3(bk&HY&|xA=(%8E3CAG*hB?i
zluxo3b-dq+^z-IC^!fJf+x8MNpqU*(%qmLwcNiS3E$N7x0oL*RmkBY9!R#5uS~!%A
zSQ3dWh377<2iO5t7`#{QdTFH0I*H#>!`fpxexMyEab)%-@=|nm`>tYQ_#P~LTr!VP
z*)6P0@^!$r5;$T{fcnX+n2j~-NoyS7T!?=q-}5;q2iwSrcmmLtd2VC`WZ3#tGYW+u
z_m5q9vjYm29kgfw2z9KgNll#w1{o4@w0w{JOC13Po{K?P)KSu3R?7!K5iYT81l;bA
z1Seks_c{Z?b)nl?T>tVP1ulh6zzZlH2U~2{PsVWRe*^4aVA9FZ!+Rzg88{qIfawfG
zNoX{vIG_iqXlR%h4Y}VP2O-C^Pes*osBi|eX2vPxw+mRjGfAxO^XDIvFN3LhX3-oE
zkn_;<09ZMb8YxscoWPxDqzQonFeN>~QNzZjVAP6}ogJlMFL7w?K`wW+7WrT|Lf21{
z+gxph?09YjH<+BcBJrR4$T{$ie31-BmcDG<^N>j3*Tl9fpkH;m(-<!$UrCbZ>?{R%
z(zHFimyshI()R+^3=cq_`}@xAbIy9jXc#ZE9ARM;JDMbkq(6_rP#H71UWpuvfM1)`
zr;_HS(XR8vLSi-~y|a!qkmr<WLjBAto_yvC<1f6VE?}eSE!I2n4pyD&+yLvou@^~E
z!yQ}P*x0CX+tmow<`@86>;_Edb!IY*c;JM!=eMwV9436#2_6krib7vK`p1@*E3#*J
zDw&saI@;SsVJx6WQg<h&mz<gab7f&KE{TiD6%+84(iuUS2@rxJ2mewN{|`Be|2wJ!
zzW@JA4Et|f$N$~u{Ev^xXBPIF4w6m*IDU~7T*q2k@yjp&-sn7z>cl6gB9hUU!PkFI
zBdu>vqwjbnD*ZoaY5vbE*DS=tkX<DUcvY`21!jhHI0eBG5k$Y8OON6Y)eJ;dI16DM
zI<&`sZ@a>3^0=!@mI4$B#>+d|tJ(CKGWsg2VY!lZEp3=minK<88xIf-nBB$1#D;Lt
z-xNna{Sy6yR+QDw>nL6S?c4pT(be6<x{Y^vXjCpx`&^a|5cvSk^5bA<N1&_*B^?#`
zMuvyUsCk|!L#3;r(7rPqHhD9+GKk2ecC{s_@*$zg@lNan>>31mLnQq*^s2X_4PuQ8
z4fjGx?(R(hk5tOQ76=!P2a46ygX;-f-48h(F7F&o_>gdDmH*^z2M0pkc%8=~Bw?0E
ziPgsKvERTtaa=tQEEO@3gQV|;omQa?5pb`$7Xh5H<u4_R@^c2URc#!6!)a2n>5r&+
zJdgHL8~$=_c<(e+CsMjHny2=^l6d9=`}dd?HfQVq`ST?#8uQp4)KIvUF1FI`3A_s$
zUle+@3ZFlKr2#e<m;<QhoP%hVd9JyQKa?g3yGdAYYHck*skytTEos1?<WF<<)RV>Y
z?C7n|OPEvsfi0rOfY#~$^bj-}AfiyE@x+(bs(iI_N%A=)qJ(rt@^D~E+PQ*VHfOQR
zCStJFizH~lf1>M-q<V@$VVeOX@*_FUuye^>8D_C*!$=!DNg!hu{KZ`>u&KhMejA~2
zx_W$#^XARPT92`67sl?fv09VP#Jwi*D}NTV^8#D`IelJ8AW_5xMK0`&og$k*T6}{j
zz<}@1S|h;K7%YI&jb6RcxD8Q+|K%9aIPGrzTLr8L&)lbciD<!7_kw=}>Jen%6Lxv1
zNb310Y!MK2A+rfiyUogKVC<f{vLExYA(_}uLZxR)6}>V{cZ#bEFcwnNVG_hQI5^%|
z|0*;JLYWxhgbt1sHa0dXw8A3@Ce4&m>04fY!ELBfTym&$t6L;<Fd9y|+53Wiir&j^
zJ^DQqEjx`mL?iyc?0Xav$^`gf*TnI)wPOkkk2R>?8A!@Ku?J9%^B)^ZNYryl2lXm}
zh&?o{p)z_iO@FXRswBXlEGR4dS>M^A6&KO5yuYh0^G4tKJrH$(0ZC6unGzn~?*P?T
zc&(77*iMjcG|5Oi5==1z4skgamr>D57dbf?xOVaOlh=PU(?40O-3}gZ3MH(u{x^(Y
zJSpg$Y)RtM|A%k=DthUuuitV^fP#XWD4?YQkoh4nlnaFev1xb70_+h3K{~X4?XPi_
zkzU_-2QEA_FArF|{><OD6(G<+H&LH3e2&*vMCG=nCUoPbBT2_!q4tI74E$a6=xT1Z
z%iPRN>m|H}s(gM8qDo;fnnZExGMv~9<Z6#YdEj@;DwQg({TU3#lP3`<wF^Tk`=r>5
z<P<JQCr!g87U_?Ypo}=F*___A`7f6Y3X?YnVNnINyuG39D&h>x1iX%rW)LZfOy;R5
zA^OnL(!%N{s?Q&KaW^UN!-p?4TYpFOL3rS4cR1l}^9K*4#1#M$w{&Yo0OK|r|4VY2
zeCfP0Tyj0Z{>hxSb?ttd|Bv`PJUCqjZ@Crh(2ia>+13IVxaq8$5HSp;9w>wPXmbqx
zY&dZ6t)_G?wD+R;VzXU<L}>m4pujD`*6PN&%>>6`GsX>wAdX|Tu%jou;onm2vMDX3
z5quZ0m6?^**t3z3!mwkWOD_-0Zw?+hml5-S(DHsgiU=JVS+Cxk6T(75;6RBN7;`oR
zV*s0KuE<1R2d#BAw8|rOM>Cvt`|Z|*^%ueugq=E)#KyUTdlZE&p{5`Rph=Nor7(wY
z(HYS%4^oKJq>z%7R5El-T4f(B6??3$O&`=4LC*qT<R$-B<Mh$^@lF|XG<BJ=(0aVK
zo>=(vhd3y_?X8erC7DqOZGp+Cl+DS(ktpO~Ze%nggIxA_s-%RH(bv;SWKDn#8rdnM
z-eFf>ILOvFSL|8kCQQl6xpkue9jum@nGPh?X0iP~dg#VtRRaFNR+nnI%)EozqYA2n
zfgH^;ySa`4^6QCU$sN#k(sp#*@%IZ-YS!@j*-Iz7)~_{ULGw`V8$k#GIy#a}NZ+|V
zYv3Z+X=+bUJCR98e7OIa_p?Eh>!P9Z+$Y(8N0I5NInl>65p9z%{rwFb>F3w23+7V|
zlKTDzVzOXdhCLFXwK50OrSU|APjMS&F+8Dwr^kGa7yXv^Z{Qa~<KyYTR!K!)DjR8^
zJE>6Luap-fZG~8IsQy(&n54`{@kp4WlUafA<RUa|8#9)&7O><{;tg0ZXBWwAnOdI)
z$j36oji$Ml#}t3QAT~k?5R-TIvtUii_fT+4@q#6<vy=124W-ZTCeabQGRZpOoxALK
zSZ*`*ukcP-Z(QUe!XW2_URkRYf<v+e2L{h(qcJl~D5ilJ{rUfUNb(<>&wr53i&kQc
ztSSN<6hhC+#h{@T$Gm}TR=L7!=>2iU0vy4+NQe(+i~+C$jwhRGK&7m&f7J-J<#>_a
z#~~q<2bLXbxzZJD@;=g@_%wf-9?EN`RMM;zv0VE13-L~&A0&i+(1ifWo#i2AmC=iK
zGtDn_EDYr(0~SUW7uiyglHA<f{CutoXxjv&`VIzw$_oOh<>83In|SAKD{hszN%lb<
z^3U1XJPJJOe@B(75k?i~>?vGEvLd&twc9G1@(zoYWBX%&y+c$S@N6)WDN0IDm5LLc
zviV8797I2I|DC{u=vx_CH$6ha1Wra_`T+j(rG1Cbh2e;P*zh#?CCQ<@GT%4G-}XY}
z^cT@PB?PAwp*ZTyGDxB^Tdf_gN;}ig>v1;;(9?Y|>|rp{!T`H5fR3wm@@RrGK4P=F
z^h4gO8YpR|J_ss(8f6^)?j5tRH2SM4<V!FbA6UObxhcg&MQD|WWCnE_!OS%&nnC?m
zGq%j!e|=9WRHsF_xcK8NyHg(k3p6yO01qn7Y<Oh{5?kGPo>|Qg#lJ$Igfv_qG=2e7
z53g2YbkN1|CmEcte6-g#`S^E4e7;aRUm;EIG6kji;lm)68jIN3&Hcc@z+YB~Q=!D)
zsmB0AN_vS9A2wR7FtRQ(3rxNvPs*GYRQ$BK^bO4W{~$cntM#R&+W`yQ#&~63W3kD?
z4!aUBDQQpd)<h|`ozV?UOan^_jxp#RKcV0Kf_E(&3gxBRsF=}oVcQe!njrsVD#xVB
zmXXpr#PZ}A`+(>IdeyElNu{4zSY-QC?JTcW5yr_-XmU|K*FaMi=8Pl`N$`~(-ulV>
zOw*H!ow0yqR_?y5;C^75{D?kVSswJdo=`9kT}6MNiU_@-RMx;zE7cz{G18qx2BcC-
zbi^|M;QhT{M|eB@T>_GD%fP%#d{;ZGD>tTcWTkXSjRc*EUvOZdT+7bS&oAWF3@J4a
zzeu_{uBo8hC!rw&3FO&>2M?b7o#0^%<*R3c*{eqH>VG>WHB{lC8$?4C6I;(K#g}40
zL&>ZTG{M~@&VPlCzhmbQ8%99b=;+7=V=EHSXu!y508ZYUH*apZ);u6a1Aure3<cR&
zC^G4VOTiDV!QBD4=%zsa-#f#cbG~9jAqCL~{E6sqYtV?}0Bl!6O{lM5zXm?Sqxf@X
zCWt2FsADnzE;^Gj7zqKdd({G?_C5N3^!z}_0{>TwXu>}`fb`F=C)NbW{_`6;Iv5Ni
zmU9At_*%sr18K!vq8m`OhgJajrqK+;Sopj(qN%Crs_)rgVz3UUxlA~sfAll*_~IYn
znu8=!FKoqpa?nA~F%UJm;G(v+Miw*EeJ?PC?bvJQ<>msi+yu1>5!;`RY>yLARaIT8
zOk6HUKPL4(d<@&O&lkec%z%v-((EaQ<nl-ofXLnX2`_t?re!aNHddSH;~e>(_Pr|Y
zE43c(dkn-4Fx`4wG0XFRKL))T5HABzG*EQnm&j)k<qs$M%J`f;PjwnNDU@MCV6N+L
zE+!W4Au2?(Q8n#J$gvAAje=t^`VrmI$oV~AUwqOVH*PGPe9UPA((UhGn_F0vty%;O
z6&ZH8D|dYkNlT{gaIcRlanNl8OH?E+It9IWyT@^Llqg84e}+^&Gh7M~Pvcf7`t+%h
zqA}mZVVu_Pc~EjGQd)XDhaUZH&qZq-*yvR1IRF-{SaDxDQ1ln{aTXK@9O}6w?fkoY
ztluZcW{q+Y8W*9@=;tHstqG`n^!5#IR(TfEXg)f1Tlw;(!5nQZZ`9KH_x(qAW++He
zpbpg2K~F9CaW%wOEp!iuKltEvN4Fa*BNS2r3*E{AU=runR-&jHP23xVKgOh{z~Eid
zdg(o~0((o3V^^K7h0BhIfO!LCg#<mW`E_TIaQ?Y^h9DIj74CPF7`fX`*Yxuko-#$f
zd)LTBihjsJX5DFb@CZQL&n-q2_5k8NRHL(kdI&h_BTx$^k!cgLLv<UQ_54%kQWKyk
ze$aTAuRE3I<KAPJ9$ppE45`@bl!p+iBK|$521`f}sK@)jXgP29sSf1nih*erC@V)0
z(EaFaWp#8C{dxKLJfKp@ewL$AW|h!)4A`y`40bY1=2z&!cEfGh<i9+s)AQjbKcZ|0
zkV29|IqB&#Esrs@;VrCG6sWNS4Q9X%h3iW}GAcf}6)y@tFI=6TVps~RS=qU+z<&I#
zS=Kdbs!pH3_{(E=G;4UA?dVI!^zNZHM|86?{khklZw3C|aTZ}_X4c6oYfhJB496bs
zmK7H_a1Mi{3^!X{jfgajpilGt3(V<if6(p0ev8T-52M&!z^7H2=VeqhqzKZT1*pTX
z$Q7w-uXyv$Zo5LY<DgCASC3{Y%hHpBn)CQRL_|d1;^G6_YV7@EV>+V-8T@gXLJCR^
zy?i`W0g^y+!FrP+LbJy6&)$@OqQL3Zi6n{&QxWEZ4Ym0VJy5rd5lKm6K$ij%+i}z;
zZGqDOa~_UbWkQzD%NsAPQ;_7QR0+b@_+~IHQW-I0cj6W(T<`xP+cM(<gqx{S7x?rm
zhD2#zWiZZpu)};k)wwV;VDjNr+V{#pvCeFhwad$ZW`(}Hd$r{vB1%Pg;C`2sv>otm
z>A+J94Q=RAz*&<IkWSfX6mle(N9hr-1}b+P5<OPJ`iz{MQ5|yLUs7p{7f9RZO)Up}
z<aFeFG)6{>r0liJa!29<FZTTM)qi#WBci%J3MN~)@7Y;nSVEF2DoLH7()Bh!MXwUm
z-GVu{hrj^_Sy?wpp>t^2&89pyHWrm3-rqJlM{bHI3d@{_@S5?aT3?mFto)_$jLd-K
zn5+~&3dah@b?@CY^Gn>2fI?+p@F8yO_j}x849pysQhKZQ^hZDBZ7`LAV}f7-_DBQF
z#OtO08<npCm%r%$tPaW8qYQarX_){J9YS)c^ZM_Pug?T)KsDp0@TE8YWGJ=a<a%0i
zpufW{?D;hREy0^Q0}k1)p+iN<iML0!KUW39zw5)xa#+-$5;%KGI`<lSV`M3??0{wf
zJMc9|FgQPg%NP%V{iTmUgnuR(#jb9kU~}d}(B4gO#}6eBN;Q0xbbFE4#E4F&sx?rp
zMk@1|jd!WvXes@!>y`Vl8gyr~Y{eR~I796hG}ki8KwN}aE5(TB7cKiPDXbX+yd#V*
zs2E}(G~=B!1uX!TQ-ExR^+pKToAo=eGQFDUc3RIC8g-%a#i>C!!t{v!44)J{3c#A&
zlI~e;bsTY*d)z?5!@{_}zxXsof?EiZcBnvcS!wCbK!d@es<pr&ku>wQ`T2a~QgrEr
z)gHK!9D&D0avItsW^qiul$ypm0*iSIJka|aGr)Qno#44H7c^UyPx>C0T_P<T8Li1$
zSijF4CX1w*K>{o-DFHW;l#&*Qs+Co4+f3n(hF#YU*T>81{YINHv(Hr0C5SFQu*)`c
za-nmq(r$Q~a_?666Qu~CiifANVO_^$B%6x*eH_l=cdYVgI5-EFrPr`s=5+#I8p-ES
z*kHxBK=6X0-vD8Ri1h<>Pk{`(9fKIYxicGM2!YBdWMpjwSlKBs3LA>&;RYAK6s(3~
z3MS|Z-$}(ubuts1fPmAF81AerA-Xr!)z#<1SGI|iWD+y@`%Eu!7nS5^;TKUVN%k;W
z8cR}2u}~g@L}mvYYz+RL6|H^axV0ZYf^a4$cYv5?+kjof3m4HSe+kCP^EqfhUiV5o
zp9+V4qW$0PZm|Yg_4br8S=v8h3|?iM58spr(me#V>OpS}*x6J6`B{qX3#7^-wOYAQ
z|CFdlUzt*q{n^A>7m-9j!x0e?d!G(D0H+AjWu0o^b*(;|*N`0e+dve0N-$SOVRXu7
zYmt5jtk<on&rPC=u|&aEP&toRr{6H%r0%Fjte-SIrB7?Gs>yYXD25lf^-N=*L5mtN
z1;l=FvA8ArnjXE>yvteUa8xEo_#3?z+JFP>ipMxvL_&gPERjZW-^*!-p-(g`a_oza
zbKIV&w@uawo6yjK8i7_vs}2!#BycZ&K-rH_p~Vc)%pkMufk$2q3=*<+j6eM#oc{Xt
zBG6pWu4?%<rApb{i#!5IFzQf?-(Y3^>EMAp&JHmyv#8)#jaqye7ke#ve-XB5dJ6H-
z!psct9Z;m7J~2}fHW?Ij_}yY>kJpMyk;c<V9g4*&B9auO%rrlRXxQWm@p&E5f>zvo
zagA~h&2K>P01S$O?l-X{gLXG3uv(JbF7`Zx?r<Z~jNIH~;7}7?7c+x6D(8U+Di}H#
z5!Rz}u(yv%Gc(WS?6*JROlxP>XQnvUSOy&>z`^7%_zzcW*DCSwnS9w=wIC=*%B&nJ
zwASCvQAoA^tz5f+F$8L^A%I-U@x|ys^5Q)us5|7?vt)n79(2TVq3J_hW63(e?fZ>%
zcHP<|AOWjqqBKFdBN_Z}03!@{xd*D8HR!(hm(m@eljj690i2M&M*c{o;KfiO^d~VR
z52LpBKG&UK*MN;vJ!;nD60{{{#H04T%GkZ+N)*VtSU2MDFN<=*UxH;jcQgDNNxMQ8
zE1P1jT~Di&>|-)!m98qRTlr908W?!a;zf1y6a;TMMMVWDbR1qv*?_bJey8p74X^-W
zyo!6qagX8QmIE4qZ5f^Fki$__%UdHT06_RZpv|OzkqP){=8vY}d_r__Kon!wsosO@
z$08?dC)?%A{k0y4!0RHxT2EVE_N&-5^12RL2U0JIh)51>`!n#kRcdiERx<Ed8U)ff
zL~CTX2l&TuYo;y~jfQ}xm7M%-*cd4rX=`h14yI070=dqyDuJ36z0R)Gy4^3)Z{KQp
zZ1*u10=Eq6U~OpQB)G6%9<4X$X_UxGdhQe@ZO_?a|5Q%;(%RbE!VQ4^C2=AeUlL3@
z7O^a@ep^rLvt4BymPOJ=p_XXxdm%@{BiUq-rT`^}dG5*6HAW;kqmoDWsSFp@^6gh3
z?*D~687MX8rDTk83K)0aYzGtkSFjaT0wKE4la99dK<C#TU}0gEOQvRKE}$xNiFse8
z!_wy+lLUwU5P>m4Mx|XaC(^r2hokPa0z;WlB2?Uj2DT;yc-uBGamHoLb0G)n0vW1Q
zO{JCiqbffu{yZ}vz16Ly6k*hU&a4%zYNVlL#DO2<PD+Ti*e`D0xSFIOV5yxReM!ka
z&csc@PDu$G6zMBgVazbHq<E|od<tMDoy)CU%mVRFO%lYpOL=`&n)!NPp}Qkz$CdU^
zOQB9#oBXH^xGp!7wUD8qA%b(~sZ+|!1uvX^O7VSX80*_^nB^!X$u0D>#^XsrS)0cK
z{1Vh~Wi_p51^C$RKqa_TV@B52r=evq_#$?7S?5boh9fB;mVak@CR#P`7268X-78(U
z7kN5Gikk0?S@Ms(H%SDOy)~#6J|1~mqPF(hCkQZaQqRFi@qhsHSfwO6nNduvE_smW
z&Uo=_+LD)spL7$nqO^5%#%5~Cq?DivJ8$RVDI??Et(L(%o!x%gTsd4rb(wHhIECBI
zQGP|A(rG3L_Ww*m2ZU)z@1jPWDDad+MKIZcnFZmzYjBX25!x%ruPesiu`@=#NpHrc
z4NYm+!oswcknqXM(#0;Sl9LnsOvuUt6CLQU-r^rJSfTr>Z3Y7WV!;?ldI>@fS%%HT
znHEuMPe1o)s%*MjDfDF3*T`S9wwJ%T!@LxC8@&Po{=IkIunUbX+cfZjChNZ&QH>QY
zCr3CCoV#`>SY&q`OihfosC6}l>uSIx4&(2af?!cN?70n2>Nz;522N?^D=95qtjslw
zt)B$%?vAW-!z_Qv$<5w(F}Vx(q}FGrr-S8}(Jy?`HgSIM*woat91QTViTTd4*bLe!
z0;S(}c}<PBB;YRP$B*?a_rYJ`0x=)a1X;!%ygDF_P?Ex_IayiwxHuLA@TgosrzcV6
z^lE@DU98Hgz!=D)7i&P?$a0k@ExVGz;f&*AB3XSRbFzO-7DG4Vt;j$TD8BoJ{&uoS
z*M#5vTR?-$4fu7SONleQ1{`YOQ_5~Vdti+&A5YLA5IFSI6~dx}g9F$VKYv~Z>lRu#
z&vqoV(P+pDe|&5T_27ubKio38`kMjCP^>il(9?EHZKuzA2HTIQa4V47Jt+XP{6lIg
zbXB5&NcKV_Z@c&1^uGoL4)B6_>Q@&5{$_@vLc5Yz=LN}cW-=hr6`))~{87KiE|mBW
z9R*voK-NET9`PIvHyQTO-Ypq;SZ;a$<A}!dv88P|q54@U`ti5Ff64tKw%$Mvk8}=7
zik!<J6@s?y+|D<k=Hm=9o)rxI;aZ)TPUU6CL45&;A^G@(!HT~6r*LtUyA1fPNm69A
zTz1sl937DzXyJ2ncfE1}9-66{*~0uhmjdjXaezIJh#<osM87bl34nUi@m4yTBIa&E
z2Mx4`)E{gwp_m)(mICkKXn~<$$<hZO;!0RybDc?@j~zdVF^2p5`_C@#t4eptOC37J
zofyZ?f`YiTv{bfi35l6>^eI9?N)T*mHCARl4iqf_CK-Nv_(}{x*Ep^xXbS6#9zfZ{
zSn(*>O*MspfPwn>!Oi6gU7uj94QP2qKyFpD-4AS7(oClJanUO8!jvPq6h#kjRbFB_
za&mldaM13iX)!{tZ_`9k#rpdhW5KMrj$2#{hxR}-0%o4>b@VQ&%%Gk}z$zZ(pOpnZ
z(s{6-ys+d|*hKB_Nw6mgv={w?9^i_N?`+ZR>Y(UIvuf!T+X~V_XJo-iWfMb)G$i=k
zr9kR7rQvI&Dg)acDZim=2b|Zx_@y?CEo)F=WxUSyYJrq|x+G0|6MuTqRRpF7)RG^u
zD6HrDb>J564tLGC;dA-uiVjNDv7$|t;I}hYSpzfGI@Gx`+r)(bv>V%1jRt12xwZ_G
zojnCL)?%DbyLbLrS3hajZhx8OSan53#hv5N{r%5+cqM!lF10^BSyFv;=@t`%Qi8CB
zM%CxP>-7pk4>%BYocYIt$!654Q9#F`Po<vnVwg7|3IIhfCRtQS@NvCmnYxE_gW4w@
z{0A7?c3eOX?)S(6Tc)|CWl16#v0rx9h<(BPz?-A13867NQTaEF*(uI3SMs0_(^nJm
z`+3Ia9w{~SY3^!6=qqNB2bfU)4Hvon7&J*UvrMzq>@2I7G7i_0r-2G*&R~t0ag<E(
zRJP0H-`$CI^)u9ko>3TRHTeb#QmNk6vd%c&qj8#R=%a&Ud;rWE4|enB9OmvxKl_C5
zn*r+8iX&}P)ac>Ts7`ujY}z2GH%`;Bfh@q3<e29|cjCF%)!>dEwYsGAG$5d%@^U+i
zuRrv-PFZunXL@aYlUx@!Uw5s6<dfE(?IxGJN;WFo^ztBQan!(Ek(2<6e`qCDQTlBs
z=SLRg@cx?)>H5u;I~-C^LpTS}Pf*gsEJ1@etVCVdH_XV;ePtIUsFY@t1pDp>cyG?P
z=oP3TKPUn+iIrT-ZLI<;YtlXy_g(<ULfpG|Ge0$Ki^U(xbMuz<NxxIe9Zn0#ZTLZ8
zwC`Dm%qs!L<mKgs<*YrRqT*0B3JC=+Q$h@l`d-IWYB&g3b#@AzfRhom5;#;Fp%EA8
zzi%TaFW^RVkQ;lDYM|@RT>)Y?;#)uYsC1w_`IbIUMo`+#-%pb7C@OOs8lJO*vJV<3
z^{LRN7}~)+cP-dr!NFmBC)Uf~KRLD_CYe{^rd4}uE48rW=d9aNDCb3G<8w41;uSu%
zxew*fv6!0^4ZWEP3-J-0o1nS!E=%s_gY=^G5qw{qRLzS<dS6J-AP$mg)Fnzbcj^VN
zOl_V0t~XWA>)#em((-kk?w-sXAuk*Z<}b*K%gA6BEB4TuAVIPFfl5?X?~awzKEf*W
z%3g@~U5Rk#nzHSh$M|8YP-gC2&B*b3q2BBdA!dTS3uLe%bRVwv04QUZ&b{{a_0<}<
z^%S5eZoo@%xz;<oWycdZEI5Q(SCjl;9{t^Wzl`ZOP6tEDG45>~LT243w*UD#7cOoo
zEmCmOIabsB%u&T}O4nk|BXM_OuB16Jx|t{P)CRd3E3Vvk0SYG84D;>}aw-xZwzLUK
z$WpJIG7py{m<fHNp%li-dqeiqKdf*6G3}F9I`1(*a(qSndh1|f*^0&CL2XCPT*<D^
zxY%lg&5O?GO`CEoOPd3G@hf&aHMNE=2{i+Z8aMDU89y15SqkD$v6+R1_kOTtBj75z
z&G#*w|E;Um=j`gT00vwK+_H05ad~kFhvpu}{pSwuGUEPVD7$zMedFyvJ~RJ$L+(EA
z4NBzrq`=8U+m>FY^h4SEio-kCo8+G}a$mT@9HH8srBZfsk~Hs`nblV&$CSz_iwTe<
z=1%-N`s3j06*=b2Rh4Ys$2U(By@G?uBRScZU+%8->E0hHMRjd1^hBf~o?D-O7!TAP
zacO99=zIQRGIz6<i4@;A>#<I|Fc_ja!;c8Z9DTdo{UTG+Voc#XT~8(H<3B$s0}b%(
zwQ`=NFXn+|^!My6OVfxhWzlQ>KLbuF0uL{rs}MSkp+Ar{%A34;#%YyF#_=jev|o45
zC*9ZX(IZk+K65OE7Im?WIp;_})YzT7d-h$*Ymy%Md#lofJ{kK?%|j+d+SiTN61?$^
zkTYc27q9Jk)?KHGuvkqr+jX`ae-jz&X1riZB^q{!?X6~r3V%CE94t3NcYRyN%)K{Q
z`F%yCi2@<B%|%sa=lgG1iMd2xCQ7}!V8C<!Ub@+^qCF3PW6f2(8)xx`N66d<(vwbL
zQ;{Qq?2Wp))sYp)qM`VXF^iG@9}El(I-^MNu;_m6<~W9<Id5zXcf4b6voiizY!mv@
z&0-n;AlQvjF-^r~1yhc5QucEXyDszX-uKiUw$3}*AGv^5BYm#_fUgB!i>df~i=63}
zBWnU0Rl=Kossprh`BrV`rgFu|UL?xp@skgk3)?<7m2mkg<6X%vXSZNa-|UCnyW!ja
zpe1l{ee-%yu4aw<{)W8`BZz_U`hF++$^EmaSU>b}P34SliTTTQ;3|GfEwTO5ED
zp?g&=m{i(N{!`AT<@CXwN8#&R8_Uqn2kFgeG1Nd=ZivC}&RTmxdn*p3V9TT=Ylr+`
zG=+=oXY;r3uTOd0+YuMPf~@@0)tmR7lXTb*=Zx5RbngeGoADC;`SH0X`YRXvF_)hf
zz7Hdey7*OyBjvhqUrZ#1@u|P~2U%)yGGFzxW))fnM}S>Ma*Ps-WO4C`4X!)B5pA7t
ztP_TQ?YblAr#R3|8s=3%OR9BecL!*u_X~}+MOaJsw#pQji?|Spo4R!)BChtEP*WdO
zNOzA5G9Ezt(ZJHS#cUPH<p_7Rmfpg<=bD2ClfE6eQ1LTc*^OD1Aq}g({~q?WCq#ex
zben<KeIoZ`?Z<N8wq&lZ7N2pygGrVvv`UW>c3dXm*L3*$Ts>Ci%J&s=4(#>w>KtMn
zl<CFg<w$vXb@kC`z;`OcVA49FH+P!^&(~V*s9Qdv!HAPB7>!&?S9nkr!9sqOy`Cxc
zl9}3BnSPc}^^<=V``A?8F)lR@sm0I#d`=-Ht>;V2eTQ!K0`7#*1OC-=`(zoS!-z3r
zyDv#4ejGIQ<Z+q!^ewRxELV~`KX*PR!H4#nFIF_jAg;Oro3vhVV4B+VcA<ahPJQ_*
zGS@9#%T{zD<vk_a^z>>ow*I~4?z4Z)@@@NnykWpUA$jM3=MZOBURT$7CuyvJT*YI1
zvG2sy<BZuuJAwzRt44c{ZYigOw)9pgkEcegY#6>fmW^O<__d9vY`c00(k-uuiLUL;
z>4%NKH$rs%%-pb@er;_u6JSC@Uy<-%b;OL7e=Tls4&9?f!c_)C2nXCv?Z%t1?Ups{
zOGbu~?dIaKs;x`0(aMV!I~?kK`tCi#^YYl_F2`Kr4$rbvW7(&gB!eqHZuRG!*<uy&
z9}@C4v&di+3aIDCy0P3sEu&;{l^n<dQAzYCvkh6vQ^b!$Kc7-P#prn37Nh5EV6@S-
zw^DxgbLWV5o3WzIjE`>=Up{+eH@jL)d%@@|w=hAASejidI}=C1d5qn4r=9!5o%c<C
zU=GX#9@S3JwUS&sR62b#HT=iMPogr-clGn?QaEYHBJwFDyQQ{VbkE7xC8rOu$g%G6
zj4mj{uowJ*L;B`oy4mgbW}EYdkFQghJJyno-?EG-9N4=oU=|spEUI!$q9lh?O^zMi
zBEAxV^SE!^P7~lUytc>xPQyt5&jWR%$QYb9#>*f%(p)!pH}}+|8?P_i-;+4QMVgR)
z<ay|*JI&v@Gwk*C?WjF3;v&q!p<MUIg^QYxwZ;38V6I@?V)54KVqrO#`ql!wf+y9$
zaqi^y1X+v5jm3}N(uK<xGX>v=-7-@16`{U-YgG<!@A}H!Ld%E4(@kF#d-26cWa^9k
zWfacKV;;-DVh=aY$D5t!W4ak0GMVsJC7!0pXK~(p^3shn^XgP(pIi|6GTMM4yhx|`
zyzX_iZ%R`iTc-7S&3wcP?`}AAjEoeL(N3)1<qPqgkMmm^`#x)atSx7DH_4hm&PjOi
zH~D^unIj`^SHE$l*ylaH_?B}q@yT5a<Tl2~Q@#xdTRM)`(QcjUX<Tv1<K)iFf6cE0
zoNS!hgRf>I{IA4akt=O=C5<$gIeIU#>e!Ldaga#={K>zgxGZE|o<ug`b>=EQA=SGz
zJMv8H1}i%|4eJxuiw>)Nzvg&jF78UwG%!d%_*G6~vLM7{<Fwad$?^kJ_KIg&xFg_U
z+xKZ<OS;5_&fio+JIpoo7Xu#Z;SDA@GT&+OD?B%%97SHJ&Weadw6h493z`bP9aOe|
zTOm(mVep0T)ntYZ-$SpA<g!)votq4qSHJu+c_Mv2u6u0e;ve64lT~!YF2~8jKb+(D
ztyBjS20}s^c5A;-G<g#%BV%-J62$zgO@dMF<|PNU<Es=MeR}wb{9T2}iIrV3*LCLs
zhm-B_KTa@)ldXu@UH3ht|Mu}}4#}P0tz!K=`~MoHthGLjF7^W8zjse`YEC|ke(K8O
z5t*x*9*ypN79AapOnh2hTZ7%H5E~v>J8GLanT6C0o?nkf+S=crt-(JtIQoma<BwEJ
zN~?qwo&WQ2`4$!<Jp7=bj7Eh76A|7V?w)?t(~}X%nhIsU(kCh&m(=b+D`qK2%x=Yd
zzZ(Sv72Yxa`X1pfr`}zY=$OjaTju-baW&<3&NpY+*mY3qrisn-4UeeZ9zt=l-H7`<
zWfz+29iM1^ry3$)ktg*`s^1>G(-QxP^PW~v+e)vb5X<Esl|{T~)${au>3f6HJqV0P
zB;WfNbs?*Qiamaf23-!?aslrp&OZ04QcxEl4`skuv&t-XcCYTwEJ7#QBVi`n4%koJ
zV?2A&%;Ae`&9P?EoY)HWkcOS^h6|PFW?EIZ6<@;6yQ7jsoqw-L31vL@Z3%l97qA|Q
zHP>e^IkD#`T@hT6)v0x^Jc1l^66UdnV18ktSnb=cEq<hT?STwqE5S=ldcQNv*^h#E
zt}Nq7PoI*!eFlG~B~fjZJC^X`Sx=#5tWt!5nLyY5CK>u~#Y<dtfm>3gpU7DpY@3A?
zCHGz21kKrfH+gS84@^zpsldGxr8g0AzOm~agDu^=P@15kJ2CFm8(JHWE=edU-a}sh
z(O=wQW+`1BTq~mE{~<y#a6uz>M=H0uPo*c%N9=7W)%l9B5S9c}ydbVK1nO*3E!V2N
ziJ61V7l~CFJ3CDDuY5C&5BdJ;SRaY9JF8!y<}XX}#eQPz-lZ!z`A*vV{DaPdbjPnu
zS}G2~61crxQiY7aI@ynGL^m$MZXrE&3k2rIo<LJ^+Io6mJLAYYzfrUVZc3Py(kv{T
z03I<CmB{_~%GH5XOVSH{>n26&!2)$z64yQ?bj|@~FHFC4>__E$b#D1rIg{<_@UyhD
zUSH`?aWuQUdehW#s{C3$UT(+iGeXkp|AN2%r}SA_zpx;YH7rhN-{Ykj8?XF+v1}+N
zYM(pzQ6%^m+ggdu?}Vlogk`O#SKH?2)-yVI*lK*o{t-IQUYIi#qwph#VsxhX)`Emp
zE2%np+#O4~P1c?Bt$3~X$h|BTYw%@AZSC;COk;MK`Fmp`eQ?ity?D%Z5APR!Gh@K5
zu=DCy;vRBH`ypf?Wco>j;9UQiu}pfOgA0>FP&Izp_N{?2=B%_lQ+TttR|TP6VyvXM
zvt10jb?pMMO2F>#A5VM{8wTwrFE3A5`|>T0&o#CNg&Tc-cuTc!H=sB4Sb=jumm?ZA
zLDz-Y#BJ^zB#9kwwTd-S>DIbesIebsb;7VB=*S-EXF^2u7V7KO)zKlY=TaaiEwMa2
zqgaisQ5=g|rIHXyFLJG#>g&bN@&yEF>78GAKR+L0_lok2KWiBNM%Q3MVUQ51Rsuao
zDs#5@?<1|Fy)BWk@o`#HP2+3Ni+#@~1QSs@48JwL*qeYMyl7?TBwUI)JD)0I7K+@8
zW|IE%+n&eqitXNW@5f|u!u%BhFTCBk%w%O|zTVd}oL9OQ$@d~Whw7DRc<luCHifUK
zg`2~|Ex{HXCz@dDT0(NK-?ovLR%aC(D+CoBUEiCkU5{K=dv#R4FuqmP+JLb`28oKo
zqHjBdJ4VeC-O49v@!9YU_Pr3kD^yd9fa(?}klkkv{)6Z?Al1Z@LoMl=fv!?r3;pD_
zd}Q-%{Eqp&$Xc!E?$6S3RI);PdV1kpYVc4D!KRElI<P_5kGai0^KAhvY!>$SCFTbh
z=5l4J<;lGIFXdB0@4D}()xQuGemgbW@eJP=IeI74-rLReir@i4MYI&}rxFv`b36DM
z4QBR~mzQ#t+jXJL%d2HYLocL${7~qb@1m6apxESp|4*wRt;v*+ugV8YtMNBHPO*OO
ztlnpRUa$E!nv6O&l6&Kap6-6K;QTwZGa;~NKK!Rs1bMcQ=o+y=$|FVM+j`v>SOump
zt@PU5F{KLO74UvL$%zbOJro6ce%+g8;<_H&RvbL@L5a#kAHUbEc!K!M`)d)zH2lLN
z51Jif%IkAqwc>{7J=c0g*1GEFsA^A&FFW?uUbH<(nL<&~=UQ@bPyV15oAuqA7vpuv
z$^Kl@$z=9*MaUAm+G~6{b&uA@d-5l2mk&LueCrk-IAbL3Q7-a2CvnEVM(wzx7gCO>
zFlBm?!lI&NRL9^(<BLG7_F9NgKxmuZvowcz{PT~dqVx&vWb}xL$!&k?-5VSd$!{0b
z<*NxBRT!P$=UR@nieVXNxL$s?*K6XOp6x21JWKi-N$>v0hI<kQMAJmH;WD?cs>&Fg
zW(^Rv*s()e)1P;U>)}nj@paIRxPv*D8XD&#EIJ+9{%6RUx&D4yPTH<SS$hGgHFMeL
zwy*(ilgq1V{g^YlucvNb#B|uS*3Vno#0C?re)wH{R)|FE-eq6@0*>d5dXy|O#(P3<
z0=7AvNR%-@pHM%orHxj^nXZ`ra#!AQt)1!@_m(vF5Q%unLs&0%R4+CiZ`UE&%iHdL
z_hh`2=W?hFhNJF!5_$N8Gp6Ia$P!NNzvtHR1->t;2oxJdL&5Hx!<sSP<@Tz#EuYz|
zsb8h<r}w+C>iE36#qhn~xBM6OVtjQX9At-^tAde*Vbx(~fn+U=v^ba3RzKQXzU7$y
z%#RS_xm^8oBiDp0^3q)EtBF(Q4RoIDq~bQjscl@;tYLZI1|KBKlP#$T-gTytU$s-#
zdUeG9hNqS1MpcC4ry(Qb`+Azb-L@|M3<o|Gq4!JQ%w()<iwT=D{ZqlirAEc#(oLsZ
zT=j)muc?Ak+t+Msnkk^UE$xJ>RE9+UrQX#Zq-d6^HMe<a+LrZdMD2=6&b*4<^9>0C
zhL-r=Px{P-9#)0_WLyvlyTe8ONP4%Q<GJl#oMF{P?0%fW_{lgh<cB1zO?#kjteGT^
zj{fkp`-C;CtC`v@YZvayUc&aI&vXjB`uE5!`lUdLy!H$H>xZ=`2cz_#)wB>VwVwA6
zu20cljZex;0^J4#>O3pC>ygt~ZO(xy5n-8UXGVjy>-TSm1ce1D=jrSI_E>Ozc)#hD
z5mmIp(aRPB!5k4WBWDMWCSpu6@wNKi3PI|#ijs1#qQ1M(1#K!#)$+D+Wo>?Z<=3sq
zQuF-=L7tCVe2hCU8NN92*vthaBGK=tr?Fn|UQ40(M0ER0@2~Xu3{MNWz43{%ja|o<
z`|bo}_LMRiKbe(cWiw^cTsp<*%k6Sy#Nt=fbBs79rXWz+W-Piq;dfE)B{c(;GjxqZ
zlP}MzGhTCcwD~zLFP{24%ITsp@0j(DfZ;~|sd!7q(Yg3$8>VDGKj8T=h<}SgL3w56
zV&y8uY-^v*fy7m|RpK`t-lKPs!aXtmYg-<5BP)tM$FS|;vurT~0ndM-8x?FHiVqVs
z*)MYH)}GQquvXVxmh6W$a+Ac=dD{<~#f}U7!EljJ&&ys;NdAhMH+TBwz`c5HtGn_=
zCl$5r-(^C|D%dy>qNSU&MQ=NWTVp~?DH*Sd1lH^HDE2fb?0zt!x-8J#!XHy?VCY>x
zdi8~gK6{6Np|D2$>*}-0){`s6vZ>zew<*(=qwtSJLULj%IzOGIt|#KnIECN)%!W7J
zuN(h1=G>#_*<6;kkLMJ7#p$D$Z)Z{Xb7{m9t`ajQwM}1PQAL{X^=K0;(zRd$KA*DJ
zVqC~=u=d-({Z>KoQS7nEn-l`fKQgu~4^!nI&n>fav2fjq6nOh+?vKJVE+RVP*bYKH
z+B#RKqM@S^Shll{nA2yzp4Z>pH{OH}ltzPffH|s8GCu2jUlI{)m+dRXFB^zmgjUD?
z_R_#1_E?}Z2{D|7J|At^1e4lN`@e>k8jXWkI93QY7lR#u5jz^k8XZW@iTrwSl1S!a
zwiC$+DLE&5=}QyZj9~fx{H!((zt_`JEktbGU$tZUi<-W<e{(PNcs^ua_I5Jf&xq<e
z`Dq@J!rMpngE>9LKnY1+JySgs@wH4Daf_~!iV?aoTg>^DF7hGUr^tv9Jazsdv)Cp3
ziw9q*-nM6Yz2}OR>_|yh_<H{wj^yeaalPB+x_mxDL>FB{@Cd(%OdHI;ba-Ot@ZP`g
z{lvf&JMCpYuA!S0nDgE5-~R4?$^CPM*J6n3F7^0~@zox7)BnZUUq@BBeeu6I3R04y
zuu%jFK@gCVZZ_Q^p&(rfC@r}OC6thE5Rg(r5b097C6sO?q?A<h&gY!-`Hk=I-aqab
z_c`M@Kw<CwtY@vc=A3KJ_pAK}yIRZzJccCU4W;HqOwVE6*c}<#@MRwEuZrC5d}9oo
zsWC5-9J^jjPwq{bZo4>4dZq>@cAtLR!+qxL=xA!iV|RW?X6u6KHkQWQXzxa~3;L(l
z)_u#VjUW<=IoYR8Wls~qYig{yUbWs+7z-y!F^!9Yh5y-rvn<$|&nUH&?m$^Vze7Ey
zt}Zoq^_l2q1ceKeb3k*^W9<%)Tg474lMg1x>#k5O#xn8o+K+G+&_u=zhOugUY0tlM
znen6Sz;e4ud)Hp6i&=_`^sh(lOnh7FdF&?syd;Yts_dRrRT`J%EOk3}&c!5+um`2_
zdzpN6xeh5Y!v4o>dnEUtvvbj3e7p1(4e&9pi({#tuLOpA(q{j7H*n_#z7$T0`9SfM
z?Y%%&p6$p3A|h8bPY|!rEZw#lN4>Bte*m_LG`DZca@4N;&g2J9Y2S{}CS0ByO~&O%
zL9Tl9G7gb1uopy0!foF0?8^qp?2~cJ{<6_wmYU`q><d0%93RO4baJP$+Uw--E;%N2
zY-(6E)@>J`l7&7Y=tkIy?-`u(A?-v<(uZ)iHD(8=cL#g5X-><%viOaMm1@GTcAzYg
zqTaYj_tVM$Jo9T>*xvX2L*QVLf>--w>Ae>kAB)^JSq{B_RG*~i=zKZw(+&atN9xL=
zv!8@%sB^Cq2R7|ZY)UYuZQA@E5)~wr+bLx#WkQk742yPyiqtB?n&)3SmzdJ>#ALji
zCB~^rCd2;KG5&#;ua25B@PdfgJ9CZd?u`W(!`5h{#N&L^yxx4Ciw0?okJ~L-|Gt@H
zSFP`Sv%0}`oA$X_2)m5i`nB)zT`Gi@TGlMOEaZh>^7~@;b~H$?Vz6!bBi4Tk`p7@c
zn0Uow_;!E>=b9M49eI~9k%}+-Z>vYR;jIQ8Wxoxs>X|<B3DA}%S;SRpS(J_1Bx$j*
zo}+AHX1P(3wZx}ib8Tqgl8FlcD{3sqx-|V6x}MXM)6-L^*MOSOcZYi;#xpbE7YRz|
z87_K0vbIdo623bfgCQwojH)}_lu=rJ1-Wk5ijw~(DqY2)#K^nD6_B|B;^q6((NB-(
zjT2JSGBP3;zV4-PCv*pW?S+hE<EHEr$m7%BzKphc^CQ`<)&4_n)OPlmgHvZ0gO9Z7
z_QyB10UhzGJz__z`9kNvDo)2O(nUJQOiRCFSfsMW+%S1CZ=r(5VR^=&YL~sunHTSx
zXRAeGx5l+e#uDeXV3}AWSlnC{A){=$`=PX)sJcpZSOK3jW{=NnVBM_zXwpvE`Iec9
zvrATtlZ6q^J+fI`LJNOyzSVGR9<j%H9~1G2i()&{tMF21{Y7hOlyva@n!Y=R7EYw%
z@Fx_EU_P+g@<gm(Pw1d5pizoR+$`*D!y~2w89m$9Nu$I*3%=LXF9~N2I;E@wQdBYZ
z91DW9pprf@ao}Ft%Y=1~yUaLuj%$guoie#!i}_lmkH1KDJ?2b&`4}pQz?~nmf@Xxu
znJwo&hQW%Bu`z?9+W*pwzJibZO5R~2wUmGxU|fYcnbS?Vm}h)bppu$|X7QuzpRZnX
zc9W-v4#J;m4A_6oNm`GJoA`WSR!VO*WxMbzY2}i(jpQ%prt6jF&IuDAx$<R<<S5R2
z5|3Fh*WeHF3*^Q9%;P_jMd_KYt9q)E<O|XG`_L*mvh}45mS>UXRBzTAbf~9b7P1AW
z)i$IS-dyUyww1xnGUH2_KTnS{Zf*Sp>#OKeCpt}-m1B9}3v-@NXnohv(v8B!6&&>;
z$2<bb`7$D*Quk<e^}X^}r!G`@7qsa43Nu`556s_l`VUKvc^GT4SbqKGmMCJw=@Hn`
zl+D-kmh0<-KMsi){)xMVPn8PK>tW9RNOC9olO#`e8#=v}emAzBQrQeqW#!H5%9Hwe
za#1g9??@+IxH#<YIl5VQW51l8IjbErGq6!5;FbLj{4dzad}hw9rlz2b;qlaeTi9N+
zCYXbh@tx)VVADVImr9CfYWUR73sjIhNcea-!igg22$jr;Jsrc;mfv9Le%rjPPPrK=
zQ`Jw}-jQ?QR(|Vk_fw)<;iHAB;N>PwRMgkjiU<l!(l9>=nsel>qosU`^-RJ|;%9|k
zFBir2doP{mohY|GuEv|z^xOX#%|9sJN}Fx9ESJpk72XK9DOo*vu3pnDx|mX69w1El
zdH-hImtcmmn<=6Wn23)yw`qyjBe2#ul7|X}8h@0nY;TP6jETnH=zGeLqTKLhAQg+u
z<c+orZI6tJ|MW79CxvJ!<?_A6zWG1pLJibbBwcNr#cDqb-wfq?;xS)r9b@qx-+&B;
z!&SCr)0Mk~V-+o$Kbl9caK*SA#yfgm_Qc*$7JYQXZ?<T(0i)3DDaIMeCY>H4A2U(l
zGqBM=&!u+!I%Q%KOX-8If|JV5kM{?aR!{y3^S6wW+1Kp+CeDr=lu*4rJ)C#$D6?Wo
z<L6Z${%1B0yCJ#x&Q}!;=Vq@`Qm#djzVke!-kFCS7Sxf^KmQAD1C3)_>M`Xc&&m3V
zi!sHVoSY4?bE0Nu9K7<%uFo|UlII(xm%v{m`VG0ZSl%FZk)k)E*WJ38R;$k2nNcxu
zG`P?9vu<F?QJ6EipwdKblWhML9N30D&~)X|;AS@ANm9W=-|{oV@tX?_GLO>bD|@GG
z!m@3z*v=5Hf8)X1Nk{QmuCk^y{5;J0zu9eTw&xB$@}<2vm94yJ;iXzTNLFb2xTWK6
zD4o*!#S$}zmaF1o!qy%4CQ26gZqX@Cg75n*KKDgfMz83#J+|ylo6qN*oyeMdZOfZJ
zWCv;gowoQ>C_;0Wa``ip$V|jkF&Ybp<`!=0y~KSX9})IT1}4t(JddkyCA6>p!EBxI
z+-}99zozs|f{(+JzV>>`Q1DfQsr9Gp?T&_(sD|ptjH<uaGpP>B#H_Gh>7LJ7-8*rp
z^g7z#IA8><hZwZy9Q`~>-PzdKu$?<u^$XnD*#R|h=l}fVJr+G=CE)cOgC7Fr;6%-@
zovoI}?Dl<7k0<tb`Y{syLZr<mR;)P{_Ue_sP|s~N((B;h)K?{Oez)^SmTfZVP_#$V
zVK6U{KYa!3JkLI)_KJ(TEIS%1r(d|x#Kla<N9e_kvoDv5AJ{%ISp<2%B}M=9LCsjs
z3}1vJ{MX+M_(@`M>D$OMCcTz-t17Y3zhJeU6f0T7+PjAtRi(AkD&wt{P-<q2Z#oK|
zv@mz4+z+0dTy~?^Hj}ViRm0DHFUWCz)A^%b7w6MRJL&0{HH@z%>?5%fk2U58vV@Yf
z%`$??J7P?Ek{r_&`G2W>_6t-qW_B^-WjzogkV-2K9$W3Ie;IIfyE@k1R$Rph6609U
zX(DP1z6pwBUM|S4M_y&D716pnO#KuKSJ)K?H<65ap%ZH)wk!Y8YJ|#KklJMSDEsAO
zO1gI6Pq))4pT55S+iK^B)eZ<!awK%aq0r&pW8Nd*IWfQf3_IQT-ylJ_cKTl)`=|PQ
z+&}LQPsTwiX8&ONviWhZOt)I%U%;0_|I-oX<g}HGOmm{*{kNZ$T9d%xs;a_rz?@n!
zI*&)NDh_F7*gP72Ih6UwLaO8WS67ZV&H2Pv=*84?C{A8am}g4rrk<Zz7-p&HY|cM^
zpdRY?O3=k{|E5)f3;~u|cAx-VTX9ul^Yxf*i@^ua1~#m;NNy%;GkOlkhG+1}W7T)*
zVurM~i#59O7fFStR5xTCh%DZqJ)_!quToIC*`f&=IC@P?^EAT=XvcI-AL-xGe%OUZ
z=lwYe-FT9>c`{0k^;K9+o;bVHP^o0~jU#ogf?PnhV)umz)d;LhYZhiC%;$TgYNIKm
z6X>ZDI#GUs_zrJ!7Vq`cE8U<fn|^C)^a4|G#a_0PLsR$SBcdt|A)ke^+ocz4=m;s4
zO%w>ff~i<PIOBmn-;~~oA_GH(gLRia(S*6RlwPV)U+COMvWsWk%^&`=KE6fBSZgb>
zih1s?V9rGPGbEnCG0QKw4joco-l^3P6$>lQ-Fdy7nDsiBH}X0urqbNed3*`gf&b^N
zkjkq0RVuA>G*#DA3~tF2=hgq>pu*zqR3FdO8(aM2W>__3kSf<b5xswv(V$s3l^DG^
z_SfMjr}m7J=Ca)I^)xR39wYoa$tNbqxyE&=8v;W0*R2k!EuEOjyg&SMGimC}me+L^
zkNwd5+eQ-~jk~R_H-lkQ!6P2C+0M^<fm@j2mZCmhUyUdCSVy$HFse)C&(K(fxvB->
zRldZGpC_oN&R2C_^2WGp^+a)Ck;%D<KjPwQz98o(>;pZbH^XR|f3){DeOND43%*1k
zo=|XegTpF&NcV-^<uR+&B=5>b?0oX>P4w;#cKmN&y+K{;&(C)-zSV{=LtgZ~^>B6G
z5psk203ZyFwHy9-hA<;X{OjIcf*cwUtpJ08nDMxFt72kfBAEP_Zr9?li!)17@<qJ)
zrysAE-d?p@FLS=J#U!C*-u#1MkAzKbf@VwE+V6FLj^I~CgXfcF{C55><<CT1m(Y?H
zcW2+s<(p#Yh04;duJ#lNZoM*OW*X!S%S-hB*>t;2aac;FJi^?MmSb|6#7~5X6D=**
zR8em2m>QbQ_?l!qqAjYFaDn}DkgHb2)ySJPcS)F~)%;$+n=7M!`7zL1izbJ{bX4ev
zw!06v<1?mki<Z&YSn@J$M^3e;;v9MXY9zu}_OQ{Cm>UnC6G%S!Oq6CJP!r-)Vp;-s
zF>Fhzq&&p7XxVf7Dqh@x^o=_aO)Gbam}{eZSj&2EUL50DG@E`rId15AvwySUVM!8o
z%gy44Mi~8)t;gWg{d1i@N8Gzc603)hxA^w+nP>x?SJ&1~*zwbOLUX<;NfuY#%)SR^
zxjRrKs@W7>8(op(GrgIJ?^hdmvn+}5Gxm{6?nl8QbMec#>%NajlFy4!C#I_V9NfT)
zQC=eyJoj_G(bMeXo2d1CQyy^}wl>^C^9Y@#%+$P4sledK`U5|aIX%5TxtLJT>4Z10
zcle6loNH|wL#c%pjXV>%TV%s<mrSzt2j+y2@rwb?`Ca--bh<+1_jw)nWilRy`$2X=
z9s5~R_1Bh3wHcn7I4^e!MK`RF@OEOQS9)RZC3_MtJEkgc-sL;@li?}z?$ymUoz$zk
z0sZI~$HS=t)Rx&vHjLwr)wI@?+7D8%oBRo{)axbd=(iBQoZf?$#-SxK4{L8VJJ*EC
zImZ>TVEjzuzuW_6=AU6J8$*=M!M*s0Q)orQ!HM<y_JmHVJ3r%3#w%tVAw9)Q0@@>G
zeE|fv*Iws84XDO*I{)1fOY=9DHC9a2Yxhixh4~gqrVCiX*r7#L)L3s!vA;S^CzOx4
zi1mG&i&(Eq8WdKInA5~u?Gc|oF!#eddB+gZJC%leafY~C*M&OQdG+9`MA*j3u&9G4
zi>E*zRt8a2xL;?YTEe;K5UTkoUhEWsnjdi$*0N8AA+K9r4zQ2%EBlE*j-aw#zbJdI
znV4pbqAlP}kR+DDo8KO_{c5$BF3>89aCXtD*I@?tNrfz9;$0~L8~Mw=QQ@tM@9^sm
z+MI#&OVKmtOE=t6=iY1ujj=`Gu;dlkaNS)(H%x5!e)H@=ThPsn{Lj}K%13-HvgF*P
z{$-c?gt~8447WGaqeAebvs5iEYh1?q+{5tT_79Vyq>Q`Tepf@7o+T0s_MbG&(QAx7
zCVXmbet?DP=2X!Swv9=VT)N?m@6j#HmeE=e=QJ+qD^`xnGFwh|9i11r(!bCY7IfvQ
z-?7WF=%i%pt(SNecHXxfd6JaHZM-{rEBG$ZjAG?S`G+b_5(^eNQEjVj%Q(Qk%O1O4
z*SXp}d`T+&9MgAm0_??0Vt%!QX|1N$omtSEH!dY&unB*DtcnS|^d7tR(gV)-uUTSh
zSy_bz1T-v2Ez~DYJyVOm#D>p=8}SncNYZv*S}Sgu*MA|JP<NZaFEEj&FA%qB*>v&|
zjz(;VZPyPd<^K6-p!#Tw|2oilkn0;p7O`M5zoEQl*XQip1hLC``KsnL_Lv|1FHG6c
zm?fsCHwEae1)KYmz4@OsHkLRt+8TU$gc;2#GisZAqbU}8g{8YK+tI>ndUGoeSCXG(
zJ#A%ZUoe5SY4RlhoJo*K2f_L#)@Om68_L43%q_$shnNMh@JX7|F7Jx&<JdU~r?pd#
z$;TK)_}k%RyjxCu9Uj4!ck?8>lw3?n#thS#GCweXK1R4W4^V6;&SQzQp}pst`n4&)
zG<5JRO4fXn>$v*+p=|ie&WDV%JCac@%&kr5+7=1_a=q0ptQ>vsEk42jHlw$K$Q$+G
zE~S&dJP*0`cIO}Q%2zW)zevcIqQ9M!XSo^u&bgZ!-DfIs%en8!+$1%ANbleA!F<b5
z`e%R!DmD;#u&5_aeI?UkPgetPY8mvJ4e{Ccksgs_F`Xm%X<$KpvYNe@0M&H>?lVPc
z9a^D+^hW5cB<Hg}GkR0Imh1Dpv^AMYct#uSN<&2-$sD8n{8N@nL#(5dc&tsI-|a-x
z^LV^if7&~LL6o^&ICgOkYLRyxjm6R{gLn93D=Lp(_%jsL9>|6~?V4i=-O&^|x`(2@
zhx@gA%t24<iK7<5^Yfb4Sext?Dhh>pIs2{DzwXi8xjLa@%O`%nMy1`%LXE`XtxL2Q
zamu7i>WdFAwT*3fs>9mj_k5LjS@n9OI`Lxg?MH_Tu5hTKx#S&5H0UvU*fgQUc{lN%
zw_NRb!KHsA%N6w`FX;;ftI*@b1XIS?v-U_@V@Qv_2>#DR?H&B%WSoOFCvmc>PDe}I
z*S8NC>8WQK+IHHN7FN6zLW`;A{!}UZ7x%%o39^56iM>`>;}s`}Ug)o1PkkFwayzH)
z?QL#42w@@|8>bv6Nz%iw)Qz~@Y`=$k730rf;5fFpThWv8$)|nD$KhO6wjXwN6A}7(
z&_(=gJXdye({Ty4;CboAs968_?veJL&LqE~(<cmE{-(U0xa47x^DbXwRj~w3W+iDA
ziB*cX9g|NO@h*+2F#8RMPGV_U)A!5OclHWmzHef%|MClv3Q;CBi7&90NhmGsab4so
zzfYr+x|tW-Qanx@F<|lFOJ<A52l;{w-+N>?7Gr|5gCYt{H_+-O#S2-IOxTiGQCmu)
z8yT2!TF)y@4}N!;zj3;|3}FLVK<&)b6o~ZMCWnCV)E<BlOF~!N#gG4Iza;X{VZeat
zC;lDCmXD+rO9odO!M;gQx<s_}bpO!0$L$dCCzAFKW;-SWjz?!+20*R^u9>rMJ%~1D
z&(`MYNi!EDjI68tCmnhDgYfk&9vfgMkw;wBm0Hf^Gw2n(X34@JQ8a4Y9%?G>dn+nR
z&-9WUH_rAv9G%bXuVL&J^MYx0Xof#*&Pj_eOm4@vESU-_FO+uJm})00?2p;i;y-$r
zzn2rA6gzZoeN3>l*Fve#S(917gq7kmk;|})gzI}j=8D>alLKFmLoF=HxBKj{H+se%
zZp2=?QiZplR-s+`QLsGg!eppyGR>l-#YChdby*W`Oy}saiy+3EGT^ZN`kwT|)N?px
z*=<jPzAZfSj%~Y_ddb$z{=C0*m@0ne))6$nThX-ZjT~)BL_v&U^>NJlN0p85|B4AR
ze01GA{#(&!7&sWYC!ql~GEf2QEP6bD;+4G^jZfPp356eyps}8DLT??$yMvVW?_wY-
zcXvm`FJ~I*a<hW6<xI7B8JfcJmmQzZYD5QKij(cp;gY_L^SbE)tF@zHdtG-FL162E
zOtajg&+mbSJCVxRX@nd28hM>+F{ANmcLuR$H3DMDM5Fs;s#OAO4`>C1BA8=Jg~_4l
zBjIE4*(V9(=T5ZFO!qXNNTu}%VKhzUx?gls(vva^m?wm*-x)iHP3z=**hU{(u=B<=
zsE#CC=>CAzh0RbtLfHy*>-n@+#}79+ReY0e`#HOxiN0E}-;`UZwlP`Lh`vQ5V9xR(
z7&3zQg9d-Q3=j!rqgcj3_wYX2_ta`3b7;R*8QXpE_gV_a*mO_B@wT$nDdr<d=D*YN
z=avd$2%Gn|e{}!#rd>En<rR0h`-JLME1cJ<cQ2huf`$hqFQ6jisUV`L)Y#aVp{m`N
zjr~**q@_Y$bC|ic3rCRjRMGI!-a{oSK5P|@(IS!$f6`VhM8g;3l;lZ|KlX9|sTfDu
zT&xmBf$*JX6bj=P$u@E6NgHQv4^uyyipMQHf;0FM>D5;;LIp#?p%S+4){cjCJHhjV
zPD1Y{Rd&o`^-0f+fv0ILe{U)BOi20O)Te`+Q>)BrMnsKdWDH#A<y`dT+HNp$hMaFE
zvI-Hr<K2sON%n%2CJmmklnD(Q&DZppOiF{x#Lq-uMV|*Fd4rz*L7qtcwAaz}c%M+C
z1mWhv_!NPn!X1GVk2BY!;UU)y&v&zNdFtO-nZ?pl7Z=0dcuw5R^1j8#-PeJlP|cH%
z>w2!1^CR!MIyxwXHzr=n*yP|(X}~29j!#P!UkS*WaNfs?ztW7PyGRttt=gub_AUOg
z^Ub7+>h$OiSxn@mr#v1UBFAr;nG++XO-9xxGG)KDIad*e9MsBfjYfTQOe)lL+Y`z2
z=Vn~U3{$M^cAeVX+=QB?K-U5&|Ho=V`{B}>9Gis!c>yj;!WTF2Q6M?EelqEqroz13
zn?i*n1$AQlDI1%c-|tr*)P$iNr*$a0mv_>aEip!M@#h$oLT-3!rqWX`o91_t_mG>$
z#H<m_U%0uGNyNdN==99S*?z~4|MfY?l+{=wyW-2G<-g)GRZM<Ji*V|sUS`w^D$7iZ
z&V28Yx7_lAKPc8Tn!0b-LBiD8$h<mClfV2ZAkpML;U$&Z%{Pa{8nhp;DRr}CNs0te
zr`%S@)H`1kW8`TO<si}wyRFK;)g4R3B=E8&Li)>m+c#+*`^!6bNr_mpP^9lU^muYY
zugL^ldu99TvAzC_Ura+`Q6<mx$S@)qS?<#r^8VyqT%XHLl0!s$c{6|5wsjo1t_ZtL
z(t7L4)c!1rFe=r*bM+ZAWTSU%X3up=0_&t5vw-*bNxbD<=<ML*Q%T|Hi0P!^=OV-L
zkL8I{(9zLxad$_~wI&YB%d4_4re3pGpk|n-%+}C;vHPB#f<oz<RS1EWW9Gc{kGR5$
zdZli2iw-h#<`Roas`u`M>G2Km1muGvmEWE9I`6md5%)jmPN5)I%>6W%PDwcwHsBX6
z|EWUR!kdGL+g{(~*&B|}Va;)~%q1I%x{l;*^IPn#?b8M!5#-b|L3}LHlSI$Ie4|XN
zE76a%o{;8dutz_H(PHOGYASf0pc{Oioph7gE8y8AkK;g^9zzE)S3*?q`O6q)e7;{;
z6jbKy_b=DGe8|i+1y#Ew>AWS~We#G&$cr%`7yd?TsF0bguP3+UnLyt^mh8VJQ
z<QGGNlRfU&C@DA$e)(8^6`w=>qFVB_QChmQId5yo`BtWp<PcsfXIXgSnWp{~hu9*l
z%_=t5(jt6Y-g+hq)bUp0QKmf@t~R^e!&r(1HqI}S&Z=P{e5LnS6?4P6$C`>O2&1ok
zR*l<OmRY?f)q;vDc|q2;)TI}IbCIu~npKEZCLl>eTl#rz;PYOW`?rFlbX8v4y5Npa
zxljM@3l-G7|HqbE-*E3m1U-YfG~;=WG6x%j3+;|U>>~Z)+@>g8DKeaM%NTgf7wP5J
zb&#&5rc5kiQ7j@@Cstu&gHfS3huWB8d>`Jv85iACnW#2yF`>o~^^`{baW4v#AKZ)%
z!h0Vi>GJcoY1}{L{!Gm6Agva}-K^*==fCt4Wo;2N-^0bw7s6{!G!%rxOUWwLLl$Fr
z%`9^+S>amSv`<-Dh;%bXrkU7Qjwwm$fz-pl#qr#kG{w@*MBG;SeVk0_uba$9jBBz|
zJaGiqKf4rd><5+F*>rGOPTLk{x9;HZrpFgE%jHVra#J5BFT2#qEwZzQeQ#JI(W4xR
zD--!TDIgtn`7$#)F?#O1v{Dq)U>6s|ybARt&Fs@kP(QYcg`E>q_gfAX)H(oqGP$|T
z?T&J5qR2={CP`tFVg=sQ(NRg}3w3U=)r(IgD^)6%p<S$w>b<L`tgLKqZcc_{iXx;p
zD@`Q(a^RCQoNF|uA;`my!ZdyNFG(_G;7cZAZN8X1VaQD(maR6<)#jq|yo;;zR<ck+
z&$A$M>Q^rmsWE@<w^T=~1P5`OZS_pY3<MEm6LA~=E+<ONcJAtARYX&2SA4Z4M}Iu<
zpZnzYdA?>seHS;vqJ~>HKiVN<3uPtvYN@-EJUPS_ue70w;BL&Mj&fz!{%wxRxIG02
zqMPL^I{MiDJkd$Gp8|2Hn`;WK`c&TN=OwHVU-}lGa48+r>T3AMQHsF+d1*Bjq0+56
zvdWN<;J-J1iK^Rg?S+R>Gk2hheSUTTi5n1R%rTwZqDP34;Bv_H$MZAg<L76-6#A@=
zF{7V?Jj#R}MB{~Q2bm@+LT$d@_k^Tz63>g3jqnX>8N-PyU;1q<x5r=pe$D-^Y;yC4
z1JSF8teAf43vxP&867hl?XlzmwsK*-jESXH5#ReShADJ$F-xl}n`coCQ}+>B$CgP4
zzc+H|GBbtOqim723BehPPEzXbzHN(o|G~Rc1$LIh3KPCJ>*B`u?)$#@;r^GqlP{{Y
zx-9W0>BjXJvGisZ=T-l5<*>FZw&z^MFXFq6Z-q%5h+}6|vC&+4ZqWUQbt;2ub>sMh
zpdN3`6n8P9(j`qP#m__n@1(Xazj)fDLOH3$kZCDR>hg_6Wf@DaQ?bW}=Vh2?8zoz#
zt-L!bi0*h6FPj0GKv=QTFoBwt^PqF}KI;{nbL7MaHx6e10O0DLuA2o9b&gJEli|n|
z=I)JWPEMjLIfha@A7&DQz&@(TzUsX<=4<lD;m+nGks3Hx+kVGhIlk@O)fLRcdb~6$
zSxMI&tgE2%y0rS8J0Xdl|B`?1>p~Ls`-a>MZ3@@oKX|K$+S#}t{nntcHoUfQje5Cj
z&Xlv9jbp}CDu02Xz})cOn7DOrJsHM52y>P;vFDr_6Hm{YPGHYKLD5BAbnacnC*{~j
zadJ_``|fQzx)TiM-?-$&q$Y_~KI<o=Rj8sT*FL3oGQ_aeIfQBU{EYZ?uSK@8JuK$(
zUlJ?6A@QMeQI1zg?{2NFc|k#99#FjU?*9Dry<uysn;K~<^^+ljoo4hJeM`d~OtIC3
z+vCT#$z>zmK%lZ-IL70Bc1mJ?n6oba;NZcPN*u-9qyg^Fu?jlQ_P^`+Rj#!qRU{Ty
zc;~2U;Z%R^3UV7KT-yk!n9^|m9L{89>XF*B<ZWs4oSBlhi_}u;0d{6#X+27h(pt>7
zust&8ZGY$UpvTRktuZ{qL5_p01sImrZ30>*OBBVUgln(?y__bIw+O-EMaSwzmvXTl
z2Sj6M#_4@QDXo3@vTI+t7SjFoQcLHRE9s>l{jb-rq=#JU`N90*Se!z`I_q6rrNG}O
z?n1#=-jYj`nNRjx>@<|<+XzNk^4?4g?S3lX_yMmh{?pJ-9dLNe?2Se?R#q@8o11P%
zdibUW@%9s|E;Xg4j=$IrkO}lO1erm28L`nJ&`b*rPwbD~$#9g$UP#k>+KDHrIQ5D3
zPmHZOI@mI6+xe|ZKEA0qW_Y2ki<Oqe-f@9?V6Lkiyb-&C(6DA#8#G^3e^QhMike~b
zsincYJ~oBS&O|{{P+ROz45h4(QF&lU5!EWAtnt!|fcm})xh7}1yI1Jo@de&6mEGE~
zuvQ&8gN+wx=^$>}-6TTOI<)w0vrfA@PrsWxUCdbxT;C~LP>jI^q91+c<M9XI=^ahG
z)fPytKiZxlyx2)Q)g?2vao<Dzf*gtmZP)Y*s?%1>e*|5gDa*!mADp-d1C^%W6Cw!#
zSH;doY@>)(thu2%i!|+4f*Zd`<)=@sU*97-hFG(&pX1VE$$`!(Txn}H4O{Yel(m(p
z&Dpzo+W72dpsx2!SH7<_N6XtO*&}^K<jtW<S3;?H|NBxx0*V%P%B#9x<C)CmNo!&%
zs*6h}G1E<}r1o;Lv!>EGS9CS#>jLI0xNL7f{iG8_J;+@w#2fJyy@*eF_e?B3oA};+
zDU-xrSDSKrv-LE^XRoNuQH=8zv2(RX!6D_jEABoo+YO5KZW4B>;l~lbo#i8YYTkj`
zPQ(w%c}~)~ZNOgaBj;xGtmiV#-Pt4G#yfbT+npE^MRe_5xg+sN+U*jm+8E}__aDbx
zr=Tdq-QC^#<Cyfp{!fz;rjNWiybbeGO~j?%Wp_tTxB0X5*@J$pA*+eR1Kc%}mR7UU
zdHd-cfkiO6t*%pTZN4)H)aDTj`XE8K_FXm2A$~sI(xdBTcYti>tej0`3Kvsx7=9<F
z;`xL2?bOx#wQq=HQo{xm!Ldqy&h2j@%qpYzdp;1pDUBu=FeZ;NNVv`Dc2xSd=Pg>p
z_Q*qzhe2wbY@tUXmxw#%1uOM#Q0Z5E2A-CX4wQLFHM^z>LFT8WOkMxk=%~53M2_|-
zbM~*I&DxX)3yT!w+{`YLU5uGN96T6dtB`9ueG|XgbHhnKa^`6Dkf{fq#Je3Gr5Jm(
z>M8v;dBd<$NGOs+`zthNo1G!D@ayg8!fW<MXBGDSiQLVonC>5<{k(005ix3cza0=6
zFFzRqFfS<OoO++Pjg1)Lf!w}AwR?{rN`-M#@RVc(s2JU6j!|rPw3{d{D8O_s?*Isg
z?J}V$3S~Yjk{=Mu&2D*~`e{b1Wm%ik{Ft5FjRfW24_`%93@R1`syJNgUzSM<yKv<T
z@%8kJOpMJa>Sh!#L8e`1oasXabWr}EJS-Ut!zicl7{21~79kHV%T=!M4x%T?sx8Le
zUQuilA|GpGxlW`JKz=25IN1=>8%HlE$7BB7a;M3rh>tj=s(-=uTeml1;O6r_3ro;8
zd)qi+t(!Xew$uH7Os%ZBWHg=!`A^V#hJFu<DEo=RowJaTtC6#*pgnMxpWmzq(Z=+X
z!A6F_7!;I0eIE*){<(6wh1k5uhJm-J;2i>=DlJ7BK>BlX5@UEgfTAc$q6?xo@7bvX
z)+B7MgJL?f6<=4Y=$6kBJRp##P!@XOqL0$x@k|o6{##B~9N)&pz?c+o7(=h8`0AP*
z+5(3+S&)~Wn=nb%0!JIIgO45@w58t1i{NijfQQ@DNIyTA-d33taQgZIc2*m&)-^Vp
z_kt(1SGDLdjJ9K<CKj<)=RUIEdo8M&$$RB<u_V(aQ)B5pFVV~@?};QM6M}-tnh!(t
z0^RRY8v-OW?%sHBHfUdghsyRoFg}v5)jq=%uj%UO?C$MdA-quJTD}Xm;rg@=(*LdD
z_O%JS>CYFTCyyVmZEdONcy9l#`#xS)Xu)G(Y)lu4X+PM06~@hKS?)_qo}*O&e&G0c
zu^s<4@Qn?XR*`D(u%t@iGVPSX`ua@mU%bNK-<xx<wuYkfaab9mRjg(5nqS==_vlpp
zq9qq&A<Sp!WE*m=nZ5X?Kv3fQ>T5j8Kjm0vR$Jpt(U<GLbF$uD5Y5G#f48N&tk7Ha
zeGwlc(}w<ds96zo>npp1W1j-`_u{qtHi0*Cs>{QzLqfPGsw(y?yT(om-zm9%s$Q!m
zA*M3CMSZJa+-qI;<{C}0_Lq{VVUt(k*Y7;(FCVM8zBbd*`BYB)H>bI0@=`^4IpBxF
z*Q*iJ=@&={&V86jSSe&Q4rU(SkN-A2Jd7D0))8K*ae$_^M_Q>nOG`@t|J>crKb72f
zY|m{nlgcq46W$79N__XafnG_mF)2yBpRk;q$&CFg6N=(ng)x1d-3|L<9@>&Q(-%bM
z(pO@M!a@k*E;q>Vh1<W^5=$|Y-|r53{Xm#2dX-QFj%%0Bxn`@r*wy;dk8AdB)Doku
zfVPOW7tL)xe^Zd!G@!7MeEjj=!vyB9EkxY1(l#Y8ugnM8bA)h4sSsp@u;+$w=RNlM
zGH-u{ja8a~kZ+A-Ax*@1+Dc_NA?m=u0&WuvbvIZVyAc>Ubf>?9LDLj8hk~!WjUue~
z)+>5%hgM7bE@HK1OQ}!Q7T0=VOxBpX>E6WBfA(PbU=NUYhxc#1(|S?lj1&u*Cga)x
z*CNB>Rg`TX{qW1P45)VH{=U{Z<)JyJAstjf#POM?_)_6({v?eD4_bG{4XC!CF@N~d
z6lqY`W))p{+C)ff-P7{oU8!iwH7IgzR?SZ`3A-8A9TxFEwLjJ2eKpUz7KTZyrhkx@
zoSGrwCNa5yk`{`W+F{qvcX|3xdJ_Ths}z4ls~df6p@QTFlPYC9{38?Y^@FsLVEW8e
z`pzTwOXFAeWEL`jOP~{Z)f{*-u;>Ns$6Y{;WD2-|ptS@#jdW}4SSEFk?d|tOw>}k3
z5iHpzF_}_lS8rotKWKA1OrFN#yVp4O>3>WkCWhn&TIX?fSX9m=;gb7@u15xB?3<6_
zzeh>0lVe`)+$g{c`JI}-ZF#@twt4)OwTbF(s%pR1BEK;m+oK>9qYRq=1*L%h5(z2J
zYHA_lst(?XQp=$5kg4jlW#yG;gJd7W)Y0?=dT&K(Nj)%MG=<twjEt<mh-Ht~^+>LG
zUQ=bsM*sFWQuuUh-Kx}EeCtS@HV9eDx2S$hHI)E43n&hE+d%Jy7^H)e$jm@q_97Lh
zH^@sMa#DyQy?NRVtT1=!5XfGNM8tGjfc?w!3$eLx{<8E@(I@V^?-ur`L&KO<!+69o
z$}5I9E(II-e5$Aw%cs4Sh&x^TU_|G>I61dma$<Ar5`#T1`viTP{$6adg%bc-p^$85
zU`9%JvWs;0of7ji6&tnt*S0@tsI<I&;`ptlR>q#{xzYPtt)30bikm9-qhl<Oy)3jF
z3tz4J`##K0v<Rzmsp1Y&?kflAH4o1K#u!JGqZ1`xOMerW1Kp2Oe%Zw6WJCok6@t*}
zTU)rN$&ZUQl{oH~ugsjC%w$J_G$B0I1K?vLXl_LB22nb-<Hhm&t*$f%;wqrEo$S;A
zC54dXl9j!%T$i1lt*lh!Dv3rrGO%4{<9$NCX_LEVFTfZ2wf8$F)K_(q%r-hTR*4_X
z-{B#n-9$t>uX>Ian$Pv;FsO!(k97k(L*qg#&;6Qlp0Gg%1;v}Fd#^-o*#wE*z7FKO
zS$^t`{zgDwwZ{CVQskL)N9sAv)$UlPD=|S)PFDoNu5n&uFHTf&x^g{%o`ENm8FcTx
zziRH-n4UDICE+2o7r)<yVb}f`avpRrMv@HxHdv`0MBhC?O->XzF(6k-ii8XD&>_FV
zb`Zm?3dAH(av2cb|NU$d_0h*m21K#9^wrU++8SO}x=Q%;IXX%=FNLmD2JQF6TS5bs
zdWaqz8GC)#zmJ<dcv;X;(czu_&F8%`%D-YU8p3>bj44`Fq*^5E%rPE!M$<E!T3(n)
zYkzmJ%S=n3?|MqD%-dG>@XR6a#r(Is-z9flqgMl>q_V{AAIL<G++$E$olUp|cY!4*
zM=kJc?R$~4k)D#r7XlWdaS&BuK~Ohfg{Wg%AocwPrOb3GhY=769G3}`+T@^hCN%#p
zEsS;>s>l^!&(iCr>S%Pt0u7MtfL4`1S^t3bO8sGkbGlLvD3KDrkXBb$&(!$P%$4wX
z7j+T0Vl+%Y{d}`)&!2({rHMXw>V@BR5qho7RT{sal~ul})iLUORLm^!8C!iPpu(wZ
zu%)c-9epug&fKFU?f6)yttXfzBwF=z%z-BWQZRub01~8Wr!Hr`ujc`xyv?Wcz~%rg
z%6rG9_4Ph2PB?xtLm!6rjzXNL$H#@Cyv*O<{|5eZGSJELBom{J92p)ai_+>s4Z$@s
zGF!t*K2~7_0*!ilkY{Bc0&>V^kg57sN-8g52Y#1;3T6&H*EDgBaI4NYQoy^ZcX<c<
zLCqKMH1^9G0e5WvR;1)A%0upv$dmsc3US*<9*0>kPtTD2iVC-t+!f=d`uckKkN^Th
zv^dCniLp$!1ed)$CM@~FXTBmAmracQM5jerK>;h60-oN6E#5Yo_N048MX^8O{&z(C
zQ44}<va&C@t=7J~92M);1n4W_q=vn>oYv1ZRfB_2BcrJfS|;QX)96@EHc?sU1UbB1
zT5RSbYS!rD5tqaA6D!C^E)*ZCC|>Uoh<l2}bb@l|@vB@*1JK|dpc6(s^*3R$j?UL!
zwT9gC#C0X>-w9Dr62jOW_yR}X8;CErPe;eb{$|si*t87dfd5*mZwL0q6h%pR!92`<
zV&F{lpBGt=b;O1~3)QV@1qlT{)CHouh(NpZG9?CKx+C6Brm9kPg2?_qKg~|$+pS5R
zB<96W4&*qF<R^DNIWEXC0Ackz>MaQABI^%}>wH(0zr@e{Y?^k0=3jS!%=AVTdN`TL
zuY<^;c@!1$Gmstptk*{D%@!vN0FaOsP_5&<j)5X8y<$T}^eak^t0_JI{u~xb1w5qC
z6_8$KUOq;|5rKyDCYB)!=v7|ONvl+Vz$^gdg_!Ao-XC6CbDH=VbWl$g=*|+k_vy}l
z(}DCbs8*zd#v+uS3xc9EqJmoZkI*%|kDyIgtv^dviT97&h>SFVTf?{!bvMusE2)})
z`RVZpKR<tj>!bfZ5}qn`qg=5K;FUnY5w*tt-(SmVV8;5J{>j&1VX5E*e<3<P0&XO^
z4}#;S1R`5SCl*%N1K_$IUZ67M`fh;yo{FK(tgVU3jl&N>69rrBZWnV73snirvkin_
zU@;L8SAPBPHDk|Ng;B53wCRf@mU=n#7OaqO-@;vmvlj(`@o`TNV<d}4l;&iqjQGB<
zhB40kX%pCNIC5a90l7Ma*A?k1ywCyE&Q(y|3Jn3}tsEV;yU0&|w1NVAAi)+HRy!3s
zQyav^#ld&xX~;(a3-(}zHA*4Xd%M#-t<?tMfr<l)NDV?AyBKOcP?pakRaI5ZSHZBh
zJ7$rB@Ng@eRFtJbl?nVdmI-=}(i8atZiWZWPyYS#4bhu_WW?dSTiDNVeFKC+@$E_d
zo-Tv%X4OKQaKi5&JD?^5yfj%fe7LJ?hHVLeo&(BEOo&<OsQxlf142K#3mGNd2v-K=
zMW2RXn%Q>$eR(WPtp8)!ASwUvWr?Ju|G6ZoB_Sd5&!vI;wJG5}pgv={+fbkcI-%VI
z(&2r8gMpKuXQBv*<$ZAtTS{+)@2`9h5J?3wy3yg`ML{*-nzoDYmu~rNc{Otm2|8lf
zz$k!z`4(bvS6#*{HURYlV0uKvb5i@5UN;H2pU3l5ja7@$%1iwjTY@C!>##;wrZJYO
zIwo~S3djfI;zZq&sWvPgt%T^?ay0QrcLHx)NPcdv71#o4e1>GuRkXHVw!w`g>ED5Q
zMRVmjcf49&Hc=?%7Jh)#XNo)?0AzuL;v=14xC4;d7LK4ec?Q`t(r}4gHejWW5FJWP
zBf_c)e;l>^f4k8mtGh|iAGd+sXYal7%`EuLn+5*HwQlyik*7d_q9>9u?}0k@NYQNt
z1_W#@$MI~~d+ws~jVy2>09&)@BxD}8g*gI*^-qxJ%#URQiQ2fo@Pt&+Fg3t$jF5Ax
zHgx$-HUN5++E=|5be8~P*$Ft(8jxzmqkT3zbGk9JKiw1=Lm1Y4@gICk8v)<1AJ%{j
zPTfK1r-(Yw!EjTC>vscmIZz@8Kf@lw_=pH3)2jyvXs?q>V2-)SA#4Q;wj&nEqGlPZ
zRbfvt0HnX2LC2y!Jc&P244~ZkUa6h*Zx{OGZ!g=~cEt;Aiq*)do6vmW{bk9F9{_5%
zu&|)h&s&|l+HezuZ|So@+AubvKUHWaR$Gle3*OKAa)5j<+^7Ot&&c&2fJ&wrS#&Hh
zU%-lUb!EDwa#M!mNNLc(7*Kx~ERd{@1x_9oRvXUMKRnJ*V_st1cnV_K`-m)eULvGa
zs*7*uh|WEyz_k}%eH#;E12>&bCMsMuwhm&pQfL50?ZawV228;gD0)i#h}ABx+wS6c
zP(ehPt`S#iFOqCaxBCquSCCqd4-to@PK5^_DCn*ln+E3(#I^T>Hp_<8y8ZFTh}u4K
zR4LY5%kre|H!k_7^76}i?6;G-&2h=?0mBXV)(&c(pT2_$sGM?}06PZ=uwt<Ch{8TF
z2@k}7`I8cX2=;wfEUYV^712^U#c-?in5?zpS~Yw}5YC?g2r|g$K`I2m=_fD`>S4zK
zN$R^b_e6LG*m#Hk|3{@P^HT%JQhwp81B7N)p6S8cyu9EL&_@q;cvnzBpEW%_t%*;2
z9V*Y!!;qBQc!D`Hr#l)&;OZXJAWQ4}-N4!-9fL?l)*o+ox6TsWqh=7^>ET5Hxd^D<
z7(|j%l9MlmwgijsW>P(THV6DPZvc<Kytp^i^1er7;qCb!T8J_p7K*}Vw!5uYVCJ}o
zxBqyp@pKI&5^E0>MqER0-EXpcZF9fmkIQZdZe)ZZCza0=Fap5(<a6INoWNAT9^(TA
zI=xA}?FT0?7{w^jOg4(Ka$9YAc|7uOBO{nuY`Uj3)*!lxP?-=5Jote?KS`=h@j_RQ
zA@cTI%wUd!fpi3hJPvdukjFK{3kV(ZsI4Oz0grTfw3ZU<4+Xr)h+8)q?gR2ol=e=9
zb6++dG3FHR_Nuv3Ad7-!$jZyx#Z}N5L2ceIeq;v*19Z{9!`Kx)@mYh0bqSbf$UB%V
zqW_<F-wY5q=jusSfhmOEl>Ql%D0esOs{+x1noY<X&kNA{{+SEp_kp{)k=4-9aC&+=
zI7@)hN&+}3M9LCO|11*NmIvM}2qFMfL_z@iM#G<YXCp(xTL^~7iS-|6APiaN^!NFX
zqm?<6bj(%<bI|25SytK+3@{-OfZX_KRmbASs~j20VO_iz<Z=3(&G>WBwyHMb6{AwY
zO7rt~@T5euV=;iTN(ac^8&yDs;gX9%Q%7qQ!M!BY@EF2a<$ssC${YVXEY~r&ll8yf
zmzSVCYem>qLJ<@}bI25t@_Gg|i_jHVWOpLM41cX80@wPjV$90ae(o@E{6cOesZg?T
zz|txkV<*2tM|Ugd6LXeyrUp$CEOpHPxz>aH%l5jBPoqO}K?~AlC{KKkmEnH5jpphs
zpt;C7jL$$_J3{T(N)><vLv29GP^n<>cckxbHrfRM;qfGDsa;6KGJsitFyLCb?Ld|+
znh$e&Jos6rfoH_fnV38cHe@eC6w4J9%fCw;<A_h}O+BHEeFhTVan5RJ5HgiP1+^uD
zq3B5whzwB!-kRn`TG)lw6(A@pcUc|u7Jm}<+vn`T%poPYW1n8hL!YL<39go+{V4z`
zK*swq{6AnKo?%>JXD~bpcJbJ6=T3W9oi(<E8XK2d7vdsdEs%j_tH31SPNSTMR0U-3
z92OT90eC>S+-VQG)7&@4?<RlFUI5(q%ZFugD$EjpK9kBRpK!N10I(nv*|Lz-LSbRp
z_#T{3Q1e>p$6q<A0%AeFkm&4jcNP!ObMJ4|UJAt_S7d#~SUKs`oqt`&;6Jk}#P`e6
zZi~1M!@cyoolXMwC&*lYTQ20h1bBdfnHh;gcyqvnh;7yF04kQF`yD8WfHFNOOV{Vk
zhH59leDm3OY%DS#!WiB8Hnt2v@}OFSkmb|oNlUw88`z%YpB?v~d1rV;#F!v=oOmOV
z+9CWl@+Dj-y$^(9|M{Q)H`n6-=e+&Ddm;bde)Q>UBd?85VWo;O80PE0Xkjb$Z#+9{
zECD=^G*=shU?gUqWCk@Ztmf;0_C>9s|M|ow#+m+il=Tc9Tcy_RNH?da^Cq4&`hZqH
zAb9nmOzXSnaD%(ym2+JeIsb9lP}gl{O}(pO{|H?H(RDA_#R6|Yy}?X_PhreIxg#tT
z#>=UY0_zV3wk>cLLRVn=Z-ZVzyD&naK>|Y@-d|i1i#vZ;WB?8~YW450aZSUL<i-4H
zrbC${371eCV1*R6fI5{DV{J_h&@A0xi2~da1n%M3*mqUg*c05}1NSFwiLf!c0hy8|
z^{KSIeG$ge04!BIjdKqufD4O=kbZYWD3!O34mSbO!e+G%u5SS<H@0RWLZnY{A?%++
zdeE4mWY<Tanz&M2Ho-^f`wf@pAaW2iU;mhKvi_kHd~EKvtdz4?N_wHlZ6mQE0va|e
z)nRkR3YI}5lD&vW?~GaMK{EhH8Iop^fL%cNBoI$bR$kp20P*rZ0A|F;Q?@(8KO?^a
zrZOJa;^UYOTPx}Tz_QcboFGfV)dr3s#zg2=4zlNhBL;cb7PC?~vIFKO2QaX|y}Kt9
zc<^I9qOPB!5<Uk6G|#$XStAzs_%ZzHK!yZ!ahrI${ft(AbMha@uEp$4p(t>WptuY=
z1{fIVTXrvj{<IbMI#9_&%y2_JKb(wDKv`*J-mARg;>~|zHX`6DUuA&o$YjYv4Pa?<
z)ib7{<Y~hLh+(ZNx+M><x7tnB>_L`=hCc?B5Zzr|VlkUfXNIN|7*gRz(7Q?f-d3ZF
z;82IIK-!7*dL1~uA&8+vs6q@;w|u=oEXuFB8WfeO&6{!QK+FB;-cPC3BK^`Y6&q4V
z0LwxAP1|D_TS+va1C<Igy(a2BoMWdszyM%%+5zNAJ?BQ24eRqPpSlXhEzEL@7<eck
z$RF6y>X_P2>s5%VyF=A4CE<?DKQ2>b%0p4H5V>l)sK;p0HGVq<<`}e&k<m#^#<2zD
z{?gLY8UYsYN^B5wGJ@GSnm#?ioE;#h0B{Wu6-<M;BCu+p6LiLH!hV4FCv4CsCnq_-
z@xC|7k7Fh#vWd1D&rYRM!10C=qrE;%3P5%Q0g#us3@$|-Xz6DKib1TS?A3ju>a`^+
zI4cf?LYV-DC@R{Bf8bzH=>V+KwbP@<GcOFOH9SnsNS{f^cCq7M&9Jr6pirabwnN|*
z{_X{Q6%yMXeC#>9Qx9g-0>dK&xh`Z4`S|$2t+-D*%FD=LlSBRrFql^sz`9>gOO^`v
zK}aT6!~3M~em1Q9{Fw|ygJG;Y24#yNOFmZb<t{JZ4wezv0D6ePb`J6J>BEVw<(7MT
zdUUYuHy(Z~;dhusSktGAEE1uoWJ804^GCj`C7AUe^VFfvNPZQIg7WI0vho9moiN_M
zkX%A2gnA&H-f59_Es!D<?e2aczG<%xd9>kxX#k|=EHDl?!3TIA0;>^TThL|*e8pBF
zmMn-ZXr7M4zfueUz7fp9bpPBWKswP(IqMr6KK<B}@~yi-cpo1c(yqbSo*eF#>W76u
zRAeYD4r7rSh~&bC{WHKb#CxsCSJ{sOxb#tw!}Vddt*uWdzG{<TXP}33HCJS-j(2?b
zs|;ye#Mb|L8|nTM!|S7^3;zoQXk3Rib5aIZcVVw)WawJnLB?ZxnF<n~80fU47=RS&
zzPS5d`r*+LL>?Iw17M7@_G^db#kZr>eST`Ach>+;Bj$cL*;c-|@$@iXlYM-qnV|V~
z2vFXI)5KR+eU?RL0ExtT9b&gW(CJn|AIxAd#>U2u#~_N85whZsN4v7R${KE5?eqi8
zwh__jovEoQcg&P46}b<DWrE=O1mo(*-#Zq4G~%`h3MIea1YkfyH9VdR$wuruvM_pX
zB9F-=O9~s4k8p3px&Mi(G9Ms~Zt}g0@Bls;*MjRT4|3p6kb>+1-wPrFkbTd|u>|l9
zy4<umC@|{Jv?u_1iq|d;Bw?)6h3uLLSW+d?2mlu^Jkov~9@KF#=1;Ix;E|W$fRhdM
zgMPVqXA-8klu9Hw<w>c@>-+?gfH&pZClDChOjIm;1PU+OM0*_Wt^#p&@Ra!j9KYDK
zHh=>9nOLCw$~djAtZXY-E<u~GWrg4>kPSf4v+pRu=#KgKmd=0inkBspCN)$XEg(wz
z1(gEB2s&a0L|*DiDofyZaT*c&z6PK5q|Zs>O3Fs&&bJ&eurD*(WyaB$iweYTo?=Ls
zN6jNoCYQwzkf#N47bxwEL;_QpLQQb)ZH$^Q-1OSdpVR7|(CbR;X7vY2qDP9yK4gJ0
zLMRnL3_^tJk)+aq2?%5(WMniFc%;WangG@+zbqYYZ$9bT8{-MDf#KoHVjWxxyEwkT
zeS)`a7yJI%F;yfJVe-Kiu_Cj&)}<s%{D6C1EDdr$n8TqAy9p>O?uI2jH8!^D@o*Qb
z%@s3ZB)>JyB%1Y7z)5}VJ)FNe#_`urY}KDNSHq`=V6QEIE>d^l=nGZD*WqCom<gLl
zcE2>dY7|~B1Qy3Y=o=F9&>K2)K|cHH-@OvdMolr<yt47(;5nw(uy{$2oPz&KHC7x*
zch#Rb^45@>(1m}kM%)%Z0({<InBZhH#@Oy3z>x^Xg_OW}rEh2m|C4E&-V#nA>OPuQ
ziW9#fmi3Z&0($8WhU?;lS8TU@96T^*lph*lBh~8a=B!;W>*kyQv3$tFW&nH!I2%=f
z&)uxudI)(SWV17g)F&k(A`+oBV&YpA7J^t9)<3d4PGBHumz&~{<-V1HK%$@r*&B=C
z^2|_tuN9uyONrrgh7))PE!Pvth5y|T&Y9w#YG`}M9l~MA8S&JkFb^<!%FX)@piw^%
zY%^CW^$=9hu)7=^uROU+cNly0fy8rs!2VZrMeUefg<yDH<o>}^rQSsD1!Rc&ePM-x
zBPo0Fv~lnIg8|{EcqY(0-Q1_w2wu}bu+#_v6owXT>NOt5EqknulwjswP_6jIm%Ktp
z#!_fHDq-%B%#Mp!v26MXS1pqutCRT#c($ybAIr5Kt>i{}FES1kF2Fu5;If8f1Ey--
zDKuBl8+naA_-!zg=^TfF_!voGemFiDfuKF>TgTZl=G5AFp7h2>{bm0U$SUT)E#laN
zsk${n{H^>fn3tWt1u;+5>m$aPlO{K_u)kAVz5*_yHJHz3g|MxYj=OxmK!s25>FMcv
zP&*?#w6(Xl=XF1POALuVG+B|>h&t<E|BftXqjUOBdL~KN|E2`7x53N!MzHDIqEEi&
zLRYx_R@W&g6${(E6Uyi}b{n%q$0{%(j*-vUgI(Vz44#l)Q*MvbI@`W;cBzO?oDfm~
z+46;3;0nP`Ky*#}*5#M)6Rt~+d$FD;_W_rYISW=2vY+NGOif{?V5yEA?AYudJ%wo}
zYUe!q?c0@Jj>e21UyC6#CDnf!Nq~U!aFHBVC=@N+3!G0$Nl}+Labc)|XO=y-0PCb=
z*Ye3xPHyhfE8}AZ@+km_kc$3l`sz1`E#de0Xg0k{Y^=MLH|xJgbQK=aD%gsfSzH(*
z2vf%4v4GrEkZGy<pMgl<SQTcYk(1GOaqt%^Hzun;R#qNBK0yThvFvMcC1C&IsrZad
zK;SYnKCXmDcnIL$ltDV!j=vU6AHwV+72Ev^j<o#7>nFe%1Dl637eA=(H+nYr0#fT1
z(A~|SGF4`Y=|-?lz&a_fr~r;;V|W1a;1hO{NRzhaA@Db^yHAz^SPfxj>`y$A*dI0b
znW1ybsR?{02%Y2^;y#CfD)|f1@7DMysD6hE4xo$tqR9C3T&t_B5S+_pzn4g!7$zEG
zoRL#;73QID-;hYx=`$wa0u+=*DHvi-_L@(>OPuXUPz-d%-Oi@ox(FU`Q-j#{$rk1e
zSfIRZAOR<Y+$(~49T^#!m^gxM0r^E(<!trgW|)$VK;QYGPYJKA|7Q)+xLvQmAHs*D
zb72F|u*0kgQeomQo3SA%b4bH|^M&~jX@6H5>y_e$?YI&&@k7W(uTEzLdtJMBjdZqZ
z9Q?Di8O+&<Or^t2gP5n(VfrLEbgi=|sz+kVhu{>+;d9@51L=$xR1ZTQO87#mG<NeB
z<R$2{AeLNTH90tW+OYqrWP`P>Vgp%%cp5*=JOQGG62>4E?%5(e!B>Jz9bX(ngt3X$
z;Pbk2+H(z}uF)ZGTq%vKb;ctVLZd93Tc?{_AuGTY;kZ5tQ|Z!wQ;EH&DdA?@C}X6k
z6J%@Y99zhn`xrR&Kg>d=@z3E%qwivreD08KyCb9&oFLVOBsfMMdTsb_Y``OGamMtE
zRYJ@RMA7atX4T|fqzMf0>tU4ibgHmR0RbZqb2KsIyTqG;P^?60E7{+dmcrsuKZe<I
z(sjFp9h^YFA>aOJ<Yx>3x&$7f!T+^r;O!!1!0X&qr^jppHct6#UpOn*T7Wj^0WUqO
zz33_~3v49-M|p$lPXVVBfD=fdjt{VWv;Y6+GrvybiAP7f=T|<P32Ynzk4wM34RnqK
zs4@p0+}ZbTvV7P}@5lF^f2mG+b!8>6wY&T8x7+@}VTxnN+)i(L_4+k%q;flOm_mJi
zP0<DEyWd{lS|(^w==>JgLc0iUX!07fXG*Fw%&=Hj56pe}HIJo%6Lfp`%H}(Q`_mG#
zGk}YW|0ehB1jb1RaNOAS1^8-q1~*>NOtAg_-*?{w2YFmvK;u8ht-wQ44V*6f%7ORD
zO$^fFXad#Qz*PdOi-1iC%PLQ4P{GX5!)L?HulxcSJe~JG{hep`|L6Jo=k?b2C12L?
zB`ywl1zeN~9A$BtpS<w~@PZ&<!~KroNzlR>hJ>U;JT^TGYV73iX8)ZB?4-I|&2+xK
zV(Kp7vG%~rd49et-*27s-EP)QkYWZO6QJY4EZ{Ur1myN^;M^bb<Oy)W9z?+@hH{{X
kzyQ}o3zAy0lz#ZnyjyYK6Msvd10Z`mUHx3vIVCg!0Pi}}f&c&j
delta 149104
zcmb@uRajMD)HQw(5mW>TNkK#eq`O1qfFJ@Qol+8lbk{~yS`d&15d={>q*E!8l9m<@
zog&@;dHlWa#dq^v{GV@M`0NMI*?aA^*PL_AF~&NfYZt2iTzI35@DIzJdHLp*?Cl~h
zzo6cy2GyUw*HSDE?&uciS?8Qs8XOdB>gC1`YCYQ?2zgW+Th%{4k;9OFCWh`?)GH1q
zGZpj6uASp!2m3IEpzBNtOx_d7rFn0QxddarZi)G7-Y!ub)W4%)fjL9$zf%-y&yn@_
ze}6|%EhzFo|MPcK)CKqdPW^aMcoP4eHc<JUq5tpHi10QJ@qed0=id9_|947-`>+A`
zztb?B|Gh3;_SOJS#=Gq7OP4O8XPm{HoSf9?h~Q&{I5Tc26czFlS7l&e0BQbr2v2%D
zWt+l~{L-Eu!KX09|1U@Ke|bOzM)ZF?;hRTvsM`o(V^Fh6fU$g(S^4Py4Ev_6DrxXp
z(~hU5KZ=u=>`^E=aq>Sr_djQk^!85g9*WM-k*JcF6c;->I#QW_etiipto)FN%Ernn
zxE0fOLph6ISa@jGF_VW4<)=!7ClMyM;a>9*`Di}WavX5yDO%W>>&FAvkP^zbukNOO
zR?E6@#vD7iFpa!_$H4OoT(ni6_*>$?z4X&2O%QUJZVC$vQ^zMj@!Wr1#r7#Xdub~0
z+R2huePT)qXS<`h`J7h$!N5R{7Hxn-ZngK`RN&-Zi*RvC$*Sw&7pp$slg-q?yGUAO
z7<B-}d`(@QFAQYEZ$g9aBE7;(y|=ezzPYiMS^LNe&^&wk^u9|N3T5y8X7c(iD#Eg|
zGEF>Uw#6cMIrMhZ6*rD|)T(0}*$rQB+zW3qDN=96j;Uy7Z>GoSaA(yb*&)CqiFeLf
ztZ}Mvzk9P=`m|Gcaz!$Gsf{HSso5UX6P>4~rcOvm5EK-w%8!eU_5It%GCVwt>(Psg
zPt=ht8Xc5hF&(1y*vDnT@DgEE_q?^G<*$vCJEv1rAGpI}DbcY~1FlQyi+x!ttq(*|
zenn^Y>8f(_^C$Xh)HYh2a|SVQsbV;<k7_ZeYG`Z6NBx4ASJ^XwTacZNG*0amoE{Wx
zFAv@O(DRVBe|UKR_Y2~X^a|s~fYg(%EXk4evC7SzQM>u%0{zNjco)UR#Z^@Y{c0+C
z+1XVm2g_<37mNsA-c9?f6jP*JdT(199ngijlj8L5Xci*m!?nNSOp8_Yq0NLn3kJ1h
zk+xc*m??XA^=%#;R2V(-A;*uKlM^oMv-CNOg4@uhWH^ZR#tlr};hJ8N2_8wFPRYl^
z`z+|K_QxlWhPHDG>JIX&*GOd}gFZe;_}i<<9h|<`CBAMmUL|<5;EeK{k5=dmb|2zw
z0aCgBkN0I&<%C!v+9YP&<R59oICV9fK1eY_lMcDmrdD1-p;(ZT9*qVISSvF#TT;H;
z16pLN92C|zHV^0t0~^=t4!KCiy*E3@X|Zo*)%x*`bmRzgt&x_CFvm1cfSZT$8>1@<
zWl8|g=(DKFH%9f4ALSR__v@2?)Z=L@E338_;%;kUt(Yh#PVK_?_YP%4DM)%^IrZc?
z?o!>=%!vs?%)BPADYtQT=sq+r!$JA+UfMrqVrnmDAn<2<lxjNT(&B7hq-~!`k9x0S
zifMOP9VtZ%IL&p8jg8HG{qf^IW1@(I$+~WSM#jq^Ha0dn9yuz$#l^)EinpT0oc_Ny
zm#SATKeLKr4H-w4a3IoO9r==yp8dM&%HK63e{E<QnJp~s=O4#xgn1jmgM6d<h3`9A
z=My2hLq#I_rvZ07!p+5nMAh8fe7!n;H1NQ?PU@QdXxTIF`Xk4`sVONbGE|(&B7u!l
z+ny>00?*=9NvzcRgT9KgJYS(7j^ymreVCY<8WHIN*QWb>sKCz6UBDsoq1Vlius8Vv
zr6>u)tMsN(llOWXS7rBkN)+n$hk8FdJG;|4;d<(b)`H5p#7xCFSLr8Q?xscBo|El0
z<^@)XAFZPLHwD**OXh{^_d5$;5y}`%Hw6b6C%c|}fmL{prB{@U+Em~$*{ZU#5@zEw
z(Pc<R1b+|PI!uZlB=E^zKC9H1EzVZa5R8yva+~-&r_12a&H9z_IZxUFJa2}}6*Eza
zPoF-e;MCn3sy``h)p4R8mD0MQ!bFN@Qh2n!LS*XCK=A6-tFJ~poSd9AuW16VD@3)=
z{`m2ucy#r1IOK4+p?HOUK7>nnI8jok`N`u^8=>;il!S!fB|6mmYafJ9UqSv+<f=5o
zW{Fgv9X-3+fodE6YU9r5u9ETi5d$h-8_ksUyAxh*2)&f|p4a5z#GB?zGB0`OHr#nG
z5}}Ne@A%?JGbwodJ3bSgMHz8WXX1H_T&>&cRTQ?HkZ@ZYLyngp`{Zj2JsS~Vd}?Va
z&qOLYSot|WpE(_dhDcqLkp6e<cSEuve6sN7Lh|NqhTog}CPneaRK*<C`uQs>D^mB2
z&Y*5*Gt@W!rV8j87`Q@kmNfXKF_mVHAUr-h`$bb;)NeC>n)+?V$nQ_$40bkJuXQI1
zF4yi(Y<kxE2qlTT<qtenVj@ivwv#$N+N@3;sc^VK(ut%>BWKfJz3p?Ut*eu|N)%_8
zJu~O;#&{!L^kUZh{CpBSJr3&jkLz$>){sY9T9gs3pG%WTEYQ3rMPoX!{@@jG#jy|I
zoI!;ptCqjk=b)%Q`r9sSJ0{|Du;sEmxLrw**EZ{D;Jwj|-kOP4ag{dI&?vPX7h|kC
zSjq`R#C7FGyF7e+j$=<pi>#0DAU?Szj3YWEi@9Ow(U@^sVgVtcfV*kfoR0dw&LbaS
z+~42dv|L^};uiZ0w<N`&B-x;k?xdsZncU{P53eLq4GN~tSN?3cA0<s5%>`Vdy|1V^
zRPgvTGbv~cIX(7gsDU>VA$9O6e;KX*_%TxNy!gmqh`VlYx};0Y8l4`Xe&O7UDSK^2
zs*|dCnjX=4w3($uZ~n_f(%B@oq{PII7bw&lHW-N|JbXxcM)1=}&V|bYo9|yO;tk5@
zU*%2Q6%ZEA61t1>ixjB3uvb3mdw9G%$&&u@<Hz9=3yW>2Eve3S$iZS(fo^FC!t1&_
z?lwO+r<^2|myuyMly3llq+9CH=BXiWSnh3xhjpL%dOzBKu!wm_@bsxVtp6fyj+;f0
zs?P7zo$H+6RJHb~6a1mwttRTIZ!ST8AwkOn*8aH<)<oXLSpuZNXvWBiOX?b{4l`w=
zwn>84gLcT_D5qXo|IiTSl`DvW%YX*EX0Cnpcq2Vm*qONoQNa<nIiU#lkZF4nIROq7
zYT+E*h%-`NK1?rRa7bb8az9FyG4gggzF&0H0^9F64jsOro~}?zZo?Y)4f`hC52?mf
zXmsmde|##lemp)(o^!@cgk(kA>ZC+1o*f^>644|0lK!`Q0&TOxAW|pY79}eWsTXqZ
zy(p%E%gz(lC`l5MTTCR89PKw~$zk=q_X{k7RsL+ypD(98qKL`AgTpGFfj~LSX$BXN
zpC1`i2e~jYLA`Y~Rhe+=sAiL|F`g(9kAL60aYH7G$*XGRd)dSCoXvFEKM%^f4MiYi
z6fge~#RrH(6%Cj~XJRGx<p;%5*K2IodNL2(X}U#k3JVLrnt~!(*dvG!;|)$1@%U?I
znpQNAc_CDgA$KX?sfX>mtMSe^C^S~zmjNu9#tl485wLoMt7_Ul;o3PxuKrxL<MM}q
z4kzWdj*bT^Dk@kQa|0jHmj_o|PDVx(vgjPpI5ku1p%4Y5fJ2Rz7A};`P%y;a?ikug
z5{xEIrTe1IAu1{gAmwuyA<C#J%`b4H!Mx<kl`B?>6j0b3-#nonZNq{!TIH;giVAIw
z0c{RBbTJ1cyg@H(ca+}-7Vuq*V#<U=>;im}ilUgq^s5I75ot4a;D$fI@&5vJ|6iak
z+~NN~y8o~|7Gk1!&dGm<WXfcjNby?E#eh<_XUbllRB9jo3xiK8iArYrvw9AboSog-
z+38zffB1E4YwJ82Geb4J{4kfqkAU0o&fs)adO%`!t=`<+e4?ZL%m#&$A;KdJvj|C7
z*V0-)*n6Mma5J4&j1q0`68yl-sXIkgU*85P(tbpD18zhZmChPSL?`xBwF}QyTkwU0
z`I}GQJG#?*bmX^CJSVV}Hgd5TwH2T2j^x-!N6f;jefjF8AEhft3x3Te31Tj6rW~br
z&cH)5*mu#=&=5JlU3OJc2<@@h*PlJF_|x_M2mPpws3=k<PZX6(VGv!I-juxvLJ|6z
zSF%5wDaVa*`rIo$b%Uu$c_y0IA9?P=ps2oB3eW_j3ELJ7YspA>A4xdK^g<nGB301w
zMxh#^M+(zRd-%y)(S`97*}6xF6FsrztX_8Gls((se}Qp@C@=^2N|j7zUDYp_KwY{|
z1h4Mipr=GN@Z7~A#>9TKLeLqvYJa#fGWK415kxLa-4hSDH46HaeIFh0e%B*bQDXQU
z%4iJU6(*K}0L?_u8o%EnWd|2WnRfLsbsZ{i&8>)HAIaiR<~d9(tbf4*wCmRK^*Fle
zT#uVVNzYz>fJyPYZd|IXDA9LTc4ag7z5LC0R@iCndXM-8I<#Xpcv@`eRljW22yu^|
zt-c2U3A2&GBm_4RxkDdu@ABDO%>1SE#JYFLGUCI~#L%9VMZR!QjGawRP9DCvXP6!G
zB`3JB%Y_u)ZD{xdtHGnFu`zvxZ>eyFhIqgWwzm1kR2p?JbQ9C{G`Q@|d9HJ{8C!q$
z@<f!C!#UbN6Oo~eSkpY8Z*Z`%wDN?B&KK4u<>*(UlgUic0@j8KwzjseuCCd*XW>b{
zws&<6x}*eU<6hy@5p|FY3%W1S2VK{j1stQJJ1|kyrZ(SRo;NHImXwqv4PL0?Qi$qX
z?D+n@@PB{_N?F~|@ZHdI=fd|OMD9c4$Kdn@$4Wkae%?bmRLf21>Q07NcY?`SKK@Ur
z3ME|%rbj80LUZdmot%W(K&zUqP*wkgq}dRkxm;yT6~%PD2e;vu{~7w<PSDon<#9qG
zz^h?Wuq_uC7N%7E4HFTD8({pUy!_BxN>(*U{_@$ZzJ%y#1mi5GMn{8c@PmF@<j4B1
zuz<kI_@mBC`L~jJqd3m+in-j;F*Z(XpS|zm2N&US4@rjt3|Qcbh&(BaTn6u)Y39@-
zWG8@nSe*B}J<SiFfia}n1R8HIAuZYJt%}F<=SWD%zDHhPn^12PO%-}Za{zf2)xz54
zfjoP*da_enrJ+_btv`cCCpT5-Q;Rf+mh0xh1P&OVL3y9QJ^)Gh0<<Vz<?8pux3q_P
zmQsQ$?nDwv&h_ou<Uf7(Ov&oMu^AW`1f#zdE`_kTe(_{sl&dn(=)(+r4VjypdwUL=
zLI#+@?>u1-S<MzC=y^O-U%Mh!P0&z=W5G9yhspn|k<0tLF3g{X(p{=@sf+WopK?$r
z%37jOtvJ9(+zR<7Iz*c6G;zowEU!kW)YlQS3g0v8;ML0G&!|(Y<XS|(m1mL@U`F|2
z0^wb>8%I!M^Xh9S<*)^+^K>5csFn+mBF&1lgXGID)CLY9BqY3~W~8#J<jo{RgmAHd
zm(3>El^;mT;S^jzzZ`gqW3(lMLwwtxp+cXFIf^qcf^<CcI&aIE?e2H{bMSeYZ>z3x
z?jPGotk)ME{n;*ruqs3~PRT1k`oo1G_yw_YbKC9IkXnRWZU(jax-;|K3z(6ooa^9j
z-YG<(5R|EwoLoS&2?<%0;0yz1)7Sm_b)BP~N8MWxK^^h9em%s84Y-#{M6ZVX`=61D
zh&w%e!>{&;?A(p0+^}GquA|<zXqKeL6?mUU9HeKBf4sewyopOUTNWR!M`+R{(Bhod
z#Lp=%F3!)-KfnvGQxu;6-V-ykUsy0shg^8ovEky+kdc`=J3FhBH>iFOOY5*SnU}=G
z#(GN7r*_AU>9j05n_F0zre8&cU4d69HE%Bh-KPmvKssv}Z)mfBk28D+6Tqaf|L+J%
zrwX{<&Zqea&#wp%PvW+UKf^DZGWB~fMpPpnKL%wKCKi51iatV13xS3cBK!2BXDP4>
z<>h3mIy%&K*Wi<K{8*mIuV`9CGY$Fu9N)bAU9J7pH)zq3b|an&I0ZN-ee|c1g#t@Y
z5pw_cag+CW-g<hY*%~=PmIK)uH*elN7UtsQ^f}sS4Yr*95d%w<g^CgT1v2ax5I<hC
z_jpH%g4X1+x7gXMcSfx7drzvC^Vzw$!kbOFYyNyY{}P|)uCsxiwRKK*_DHqc`a4N4
zqN^f5fBpKzdOsU;21RA~ece9lck<!!Nn#=mf6w}8c|m?Y7in;Y7#A!={-0-j$E#e>
zU(DJ_?@;|TK&#d)W#<GfKx;tjjM$@Y+=!G{2TcCui_Njo`dS3ruD5>a<_BEb$^9?I
z#l7phSz=-+KjW82L@c<CJWESUMAxLQN_}}%x>EFIl{e89FGq+@%=y#j&uwGk6eyzy
zRF*jPZtI4OiPFeP!!^&TZ?Di_tcUXNyu{-%A#D7Vmp5MIa2meL?(GtspNOEfl+u?U
zG7e_0pJb$`rQyWQ;}~6)@ePc=V`^&3N?u&Lp78Wym!qqa+n%|oPjs&F=Vx~J{vFtC
zO!etG#UB9T=(llk!hZsVXffg>a+T2U0a<1&`73wnN00TNfUX;KPrn#UR##?cX5K6%
zIfEj+HseOMo8I$j5?PNM-60>v<x&+S=9^x8WRlIv@Fk|atZb?3-3S8?>YU|!JPFgV
zAOR)XJ(;A}o#JQ0bf4dT4;A-|%m+i<g>+vHEe`=2$$S+lKsWwJL>NPc%kKyO+K4ho
z^<dsA{j4?l#uH}5^N;iiAG&>U4{#v14Wz<euA~?#K1V{)5Tw9FI`+G*Zg-7}m($$7
zi!8Va8{Ir--b@;g@kdw4JUo<GCKr6l*;-tR;?X4h;+M*6dd{b;zY~@4-<Xnj>)kK$
zkA|s>0KUAiPuC*JAAHTLiGT%Ln#IrQHekC@mh|~lq^`8og<(}sPp|WmIadwx=i428
ze4aCAIuvJ_<$Ww%dmO)X2DO|;@jSxbyF{A<{r2~xR0~Xid}T=oROAnn@C>u<aigm{
z@=SkI*1hKy?@`|haqJWvLNk&CHWqpB|0N?LHKM8<w>2@_45?LVBf3)-teG?LwDez^
zy@7(!)qeRR@FQg)Z3OXjYg}g96QCuj)X!Icc@AYi27{fSojsmmk-nY|v{<TBm*}w#
zeTmb27o5$%AeLfCuU@NS7Z!GtKZ8fb3`Ct1ur2&%_X7GQOWKL9KlAtgQDfpA@ZUOe
z=w5Y&v3|Nf&}!gWo?3T-(%QsIw`(OVjBu*~w*k@a*|kiUI-aJi|5fL6SiN3X{cN<X
z5^e^K^2T&CzeN|ob{59e?sDYxgjj0Ns6Cd`{IDJPmy^TwYq6hj0sucmv#2nqOD3^B
zGgN&|JH{}~97G`msKM2>Y-oAahg+$STy`p1kAs4+5Fg7h!SjFn_Kn7XSYQPqkmXQT
zjfqcl<jqxhE8IS1KQlkSTNhgSGVh~RI_rpykWDpAdXoeBpLEtb=$PHc99sKSq?OQm
zWi|?Pe<y6~_U9&#*WCPhe$xB;kvmq8L&^cN_bL%fTv5@m4U}d2h^%`Ud8Xcx5x|mB
zoODF@3=Qe!CULNA6hee~*KBeNnkxmx&3*6dm<4mkD5fWHSXk_`!hAn__6*{yZS@M?
z9eEX%?)G-FW+~<|D99NY*5AS3%}XS=`_*7h^eP=^PfylQcP4~1qcTFdsutdPt%>fA
zIR$db`x#r542Oh-I2%N?Vv?P51`=1agb5qxH}{W`6H9?ad8YIp%kk%~)9Lw_N!m1-
zzY838Xd4<DLSklnjEib80{WqXCB)>;ojbn1z7q69E(Wo)YZu4RA9}*W!{OVk_gTpq
z)6HumbCW}psUJLSdSvR!O3uc`)lw*qlF!4i|5geGCh3c%Dii5&jfWFF6i^u?P=yfk
zD_1&Gr6(7iiCo^GZlKAV>8}}SXe=)+nG|X7X9ZH37Dtx~2Iwx|J<~=M*!Q&5aauF0
zaDGzIS!j6Gb*m9T*DDBmdeaWu@?DW%BiI9AHUs0w3pfJ>LFWe|FF*M@>&V;k-3b51
z?4#SUOrI+%s2Ue>7+#%IYe-5)l;`m%^?6>Vp~8fcH{r|AXm>xW(l7SX8K#v;j;LSR
zDsN@VX>gJ!msN;*OF$f5<YxW4acUvUPYdW&u690BX;hdw<o`#D3k#Odp5<MjSMQr1
z`<7=w^tzwI>qcL^mQn<okt;6rY`*7ox=NVb2k1J0@a+x+B>6!L`Kd^ZYP9%+C(%#=
z?_+wSf(G;4JjTh^L0;~qn~-efoiU!O5&tMA2xrESdxTlc=ntxmJf06OLB#-=d6^(y
z!Qk@Qxb~RnXpFtcqs?q6ZGJ&PgpL0Ob5)(sBp_E&H9_PRCl1%5J`?h7KGRvLk4b@1
zF5BQUkvd}bs@Rhf=o&0$r6QyWxP$g*aF=)o;Df`K7$vhNa$(P1!qC7#2@QdMY)9V*
zb2KrbjD{7uH|Jl}zP=lWc(RUsCSy@0mw%6bfH_AJneW*4Lr{sI-Bs>^R<IL*xCl`f
zIK;~b>=~7AGLp)Yo=xO0w+E1}gXrko@_d3qrD98trpVPnm+?ZYfLt;X{+E8!Ls!{I
zNN#W~;xyYSY2Q>}WR&R*mREgCPfSX1mWGCg%?Dou6JW;E68|GUA_mX=!8?iJnxDid
z9`$h3E5rEo?nXN+!xt&J1cr7N?(tCR17=tmF1hBrH$`@lm>~w#ocRodnUIl>P#Hab
zub!5Mh0$P0TD-w)%wWi+#51B<+k$=5h37H;vJKf?oHDO_K2A=XaVNJR_)tKpSluKI
zUb_9tn77XU?X}KreTJoX3!*)g$ob2v67<sEd-kvF>Jww-XV7oMEEy$9yTd;zXMQWM
zudAzb`$~+mXM{XkUW%0F0SgtRnWwAq=ut0%>Fw=py@n(QY3A!&aXrW7p>XJ;_R)-Y
znikWcOJ}`yoHLbLdY#dPNhh9xV7xkGWOP(eDYRAlyGrV+j!g2V_FI47G7AgrK!a*2
zP<~Pnxos;YbjA^e{=(>S(+%D2Zn<6`hc+73n4nLGBH{?+Q!A^_f3K+<obOEgGn47v
zBB*uOiB03=1>pV0y)&raGg$o6nJ5^N{x&AYz-zS>*9sYT8M;DA*=kZmY3M#xaYoE>
z=DSn3q+2^@d9ur(4)FTCt|$BR*K#&a50TRdx<>1QT37w<i$9Y%+MDFxMlk<De>V!7
zrM#B1k1!L21$9ub6LFg|R*tW&QO>>i`g_74u+hiG^5%4g6?sIfgE2ko(Zzi_W%FVV
zK-#>k3+u*>*-q2S&78CpjEpZ9O3>Ye%*`B`6N}KYc(^t4e4FC2&=<ZpjzrF>i(tMQ
z+3!8ZM<t`riQ)e*5R0O}=u8*N8lr{e-+sifPkOD_j@ni~`;C)lSbG543$42sBM{lO
zL%7QhKIHGOg{1F!*J*Q@Qvp<W5KA#Eh~qWSe`LBFGUfU@C|zn?e7KoPq4=k(NV*e*
zW2lCsJ6^S3ypyX#MCAv7!{?|yCsndPci6n}$Uwch3;BZYr_1>KrYyopVldRnX<BPo
zz@#w8<zVt)5Oe_%%8I#1HB-*?bG~{O$@j)73S`R&&MOe<+&AchPj;FsO669PhhL}e
zpWopNtFT<C@^z+`0Pz%x&|a<AE@{uv{wDs(Pgwj+=?2xVbXvC!3wG0?Dgc-M7&+d)
zcD!&8x3Yb;9GRTxX}=k#?+CAlB`-EM7RrQ+op<qKEuG%r>d4+&7POH-boE#Yu(L1s
z?>}*kSdga-j<hrmQ1(z8<DZ*PKJE;@SSOk}v$fT6w{6bcsf&w?gQKbYK9xuLgeSYH
z&0wyM>GCal&xPwPP*f%w*7+Q!(Jj9K{))deMo_Rq6&lueuSvKUe*SEAIHlr7H(Yo8
zCre3537?pLYu~$=BP%N_t}09KnCRohChGYnf$Msm?1XRM;+fCmF?;w7Yu49x2==YI
zsw9i>4iub2DZAp<Ui~#ZtblIaHf^^V>*;aO#~Jrr&V%vfczAWclWcW)?1vcu4QT?I
zsB=?u;dq}z()hE|(pY>@OE=kH=rQ}PTemnkW|G&3AH~G7C<;B5CJhm=znQO4Y+0oE
zs;|UGX!PwZHRcELKfU_2LYo<b9$Y?Ldl_eDTSomn?mWt#0|@Fmyfe=m1Btcph?ZQH
zRJ0UkIxe$K&)!v^PIl@7j*KiAeXH{mVq0)oBUoTAiz`N*i;7PN%{7-3&Bw=g;o?QF
z2XAjMDny;Vb6McId-wTGXwKugf<}@r=AuvxC<XK#_4J@MHx$)f+~d2v^@Sa;bMe31
zjA4?9jJASWF{`VqUP2o9G*=8ntNw)LJKi)A;meRrVqbOja&T~fm}ek({ra^Fawty2
z=ACknF~FQ4-O@?HpffUA!8W3`Z~mr7`KaV!zk;5y@Y!QY6`g1LQQvLLKltJM_22ak
zbm-s-1GQHjkBIGEh4JBv3>QsR?s<x$UZi2H&}XUtGu$7jLc_fC=f84&HXy--@v6Qt
z&`o@QelSQwV_+iH<IZJ$F3L@WmzQn1>s{aP%%E2egI;~Wm6GxPyuJl$FuMQePabSf
z5z(MLWLLXAxR{mtE;Uu!v?UDiFIE+5JPzZLa&~cvIjt5O$-J4foAF7d?+QIow!zT3
zzi!36)~Fj9r+X$yBKcK5j_?(5AytxfJ1uWOLAJFe3T%9S8)2Y%?OT??32;j>%B;jG
zF0iEgq@T)E2;a@is%z{UX6f%4DwVa$`F9Ul)z#FZmu_R>bBPhpC#yu`KIwu9X;W>N
z#<az%wcSH%({xtHt`8;|jl;QO82^;>t}S`G->2-}F4IiA07tsvE<r_j?!{M71iX`L
zYHA*>JBuPVF^sX@yV0``F6d<hW%i5HRnnsZ25)=)w&;lO`Sq*9cDxESUr#?b-l66M
zUegu^8QMah!<_`-#H1u*dWpSn7rFHzDP!9UUZe8|l&|H2<zG|zBxBwZ(3;aW^4v{(
z_+D~kfZXD7&0HpXzay)=k=_eqs<z2ue+IKBPmtM}nV@vb@P^6K+QGHoiTBYD$S>V_
zFY0uW<w3k(&R_f9s3(=Xxn%O^p<{!DukG^w+n+7T26Tz#z)1*zcx?R;O&2=*Ov;w`
z<yz&tjS9(Wt*Rs6Q$X`kkM)I;IJvp8Er3m#LNqgP3)JkHPa2dij9iwCm|PAYq-CZp
znzx_mzh|yL*)AaK0f&He!#KzPwn*3xX*UxB0{e`1<5i^}KHQ)PUHw&rfj0d{Iw&ef
zD;Cn?gSGHw#Nb!wZryI}ROn?n{zjgl??1g<>ys+Jwx1g0EdwN-PHw%+wyv@0)Kxvg
zSY><G8;M-Kc6Fqz&b&2Hu)18mytH(nzki`>%~`Dd$B(YVB`c@;N6rTc(JInTy;hHJ
z>D#Z}Qp-}Nd)~z^GJI9cdEsM{E#Ht@M`x!&u~}PJig>j!FuZe7?Z+H=yQKv_uX$Yu
zbu6|$T<5z|0Hi00IHdnmD0*KDPiPw$j8`K%yDsZQ^b+oUO2SGhVgu$SmHJ#Iccepq
ztxndTR!<(=`uf&&nkPwk{JkVRRtP=N^ZN6x#n2<s+E%1}`O-gSA1__eErJOXU#n=$
zmG%1Ra=bsEdb(3yF9~TjsWUbv#%07R3!DA``53Ra(9zLB=zyugNs>OI6ESCJW2;)L
zS}wC4AE};=tK*zglRjK2i8J(Ee0iQMSJPTkb8xyjG}UwImd2`SboO=d=V0PNylZ+@
zM<#h*VwjmUnAMY!>z-G6uQO*$x&x=Lh_=^5PU%mvT5>ya<!kvlIo8(JHy8_s^d3F>
z8`EYH<6-{5sUvw#<Vm929Fm|m2SiiV_}Y}03(DS+W<hWTqI(jg!btfU@yY!zXbDG8
z2hg&r`5=bNGl41=%l%l2++k;RF3E1~q#JrgDHt#w9v(5ULF>rr;kDDfRx;)X3qA#)
z`Rz_3$X>dC(Oq&`MpC9hF9J!DVA3QP*I*_E^Lw?%$X1V>#(=x}R5C3aap|?Zb-du!
zM^BaYL`tC;^=2p(b3j!At4(lrwqw^5ot7q5Dxz!Nf4-L2AFs{?G(sa&Q1kZ(2-jd^
zu`{s$iZ}Q5%a<>p+2;d}fUM#5=PSOK9j&I8*6vsQYnN41W4fhJHX_!2cdJ9v<4<i6
z8yo#v&+W<6lU?w)Y)^-BukmL?om!SY!AN&VGalH8&-!8|Q&>HU6gg0gL7Q9|DYbs=
zyFbhAgMYA*C4IaYt7ogAY{&b;&c<d8;x6!-?=Mrq?W(FOtkwvOl`=gL9MDF>=?UiA
z>8I?cyK9q|Xod70kmf5`MQ0out`k@@$4B$hr?cG1u!TgcrygMJx{cR%&d5?%R~LNT
z=2ziVg2g+J%}!w_N5^xgTvu`biierbJ!bDaRIc{FemQdZvu*4~ljodgBaeW=ko>HF
zny9)Ur|(wX`Oj?jZ+PeIMfADiI?ef8#}d?LdA|{$kbrK;b(??x`u>ehz1(xKz1%H2
zpX@6XF%0h&&P-3v)-2~&d#;2@o>{A2mx^fp!209#c=Gi1AGO9`COe+Py-gEYR5wBu
z&B8=el=&}>>Pto!*)AkI=_Sfu*52*%kik5s@ac}#P3<14?RyaW1n9~ox&Rq3uR{$j
z0}bTi!#|KhL7~#p(2(3{A|na}I&RFq@zS_-Aoi^Ue<~^}>bCn1J}Rd!a83yh>GxsO
z6&2gD5v;3w0L~!b{eZg!1A`C?3kyXkR?+q8G6xsO<2r8-W#z8a)1&zm@WFtOh#1+E
zkuER+2x7i11?#I6u^xgh+ttOT_U{jNShU(@HadStnl^x;+Utq%Z4yld7lZhEO<#XM
zc`zFEu`O6eSRoyB|8ZJ3SJ!vQ$v(VR3fT<^hlwv%YF=Jm*4E3=L>x8X5<^Q=>4gDP
z1`sA=z$9j6Ny9UmyN!+7)ng4uj!4%v&xJIp$LmECv9}ot-8ZJktKG04J6QN|xVyf-
zw3MBlty}4s*|&JK)u#etvq?BDjV{2OaM6@5(r$t4gKnanO&M^O)u)geb3pN7-nB6C
z<1No`_k~D<LQ~^*12ojegV|2M?(FQ$+-Zq#Ho3D+glb$8F^>e+2l@X=`y4(g8CDiw
z{Q@yx2$SD^4&tMFI)pvyG&eUl8Rkr07XO31oLo!t{*!89jcf;*MJcj(k?dNeOhC~T
zb9hP6tCAbgha&9bq&v6TGy{y8OztmIS5kZAqqi>BXIDBnU+@vRDs*}q6`%opvQ<_}
znFFR}=Gz4<h-}4F0#V$ldtBVk#UH_~UHJR0n(}bD-Q?0hj+b+iQ&%c*FO0gyW(w=Z
zSd);ftn4+PE!Dp_e4ukmacH3iPn?_pjX{wK(hRZebx%WAx5{JF+$lkTQEc@~-+{*!
zh-wuLjcw0b>=%pk>tK1zcP0tDt?4^`T4Ja<Jvj_Xmyg<lnDDGM-2B}SjzQ%VPw2XK
zExm^f+y;h*_*(|^4ZH?4v~EVs&&&Ym6qP>R@2+;Mhx8~Nj%L)%aT%{dT!3m5B!+CC
z3CU{BAMfIi_I9mYZJ-eyodTZq!m_x+t_hWnm7U!h<`~QobDu%}1qRUi<Y<3B#ckpq
zjPP$eH@88Rv;De^G|-kc;Q1&SwlTT=_8Y}O!h-K5gAnbemu3!n9R;0`9i1PWbI=D@
zCk9nrSwfQaE+wfc-gxeONNHZYpc!*<&|aiNv~|D(MaA2y+7Oz)x0F*b;m}H_B7H1C
z@@%;HW<tAH_5NHEvRggrvuN37Y$CN@<jIx`4ClfA70m}KVpeU%`VSvA%y0hX90(4|
zM?2fTu_Vd0@@FmS>rP2XO;tftgx&;g(4tsH0a>_oi2J-OzH&H+wJ2RwNAwj}sK%Pj
zTIE1>{-gcDk;wHl|L8$b6FfOW_fk*yQ?a>+jwn$2c&pD0M+FUzq}{ce&90%xNNr9|
zj@PqF0Bi>bo?<O~9*myY<gfomZ1%01ZPnsOY&wBdAbsqM6iX<3&P3jedV)MXg)H0g
zwOe|>O~rF71S~%V+C|f?P$X{CX9+uX^H-0bWVXvej=<W6&|iSwT^sOvv>RRu@Vn-4
zts3nN>6j(QO-)yK1QQ{R1woQDuj?SIm5;mXMYJv+mz_QH9MTtA542oKxf9V8T>5)?
zc0SA4yo7{u*NI%kllYg%$;(3Wk4^6OuF_Bve!Q5@croPRQVOIgrcIfc)YQqr!MRX3
zb6F>!9ikK~bd#vtLYIwTcO$=Z&PPR><+@Sv8#4W!#+%yUC6MdbxM`HsxdSdqA26QA
z8Mx}CS~uK}avpvX_iU_U13Wk@@6h+6J|b3LJ1f`I=}qZyJQY<`QUT{!UCc^78Q{|j
zPmX0tb!q#eMj6Xh@n>s#dU_^e8~zPe`^y~jgghlt%E@@GzmG4ZKFVWh+TWkg&iozw
z-28@p_v7ffI)~2(uP?IDmXG=Xc;69WZFf{qI8Op1i?g)vYUz+JM=YArm`fIk-Rj`)
zzO3rtu#qks>M4z9x}rCEpt+7QPs_<(%1ZSe!Msf%IkyLHh#4}caL--(e)?`c5%W`5
zR`RNi7FyzKQe!IZkcECG+u9#*4<U<<z92Q3H~4T(_<qHsjK6sR@zIY_Pqk}@6QDDK
z7icH<<Wg12jlP~?96_L5$DI=rfrM%Z5+6iyR{~FYho~Bn4ku3a)w0-Oi;f?Xr4<#w
zu1c$*ZOg0Qzc<Rx>rb$!JbQ7IG1`%FA8#t%-`)6QEW1v#yIh5vus9~{%`%RW*(LKE
zv0%3Z)|Hhs*k+=p64GQ&PG}G`m(b(Sb*H8tv0b%AT4@Tm4ku6R!1;3d<xG_l>iCbl
z1gO^J7iQ<?XabCjwDq~PB2u$lt9@F+sEau)ROIcfmlzpa;?tJXIpmJ3>J_pK*~b(#
zg_b+g)sH(~MRx*jJUGI$^1aSNsmTAt+}zNi`3eY7K642cQ7MhS^{24#SV+d*F|U1m
zkx~kB@~z<)DPxMc`T6;+x17%J;?%vI8P8Hm8a!OdP>4=ewqPQq{{6wl4Zd&a)G3Jd
zih*7Sv;sf;gLjdFL-)%9a2rcS)J<tJfgQAxp8bc!dytVAePVfCf85Hl8LM#cvs09n
zedY1NZP&{UAn;?FU%|JbjYZmQ%j4d@1t$A^<oSP20B12E=p!O@R8>h#AK1o>e#<jc
zj>lwBCo;)zbnuk#R6XjZ?mMdxRakHxNcgV^MkJ-H-~6Xil8_{bk=Pig<kU5Dbq3#@
z6x3S4iFUyY0kpR9d{6FQXneu@&m(hq%_bo>R>*4ySpjGj7N%T3X~)G6`r=3Q3O)U{
z%j3yJCR&{oCIwPg&%nr@)9zMoZ?WK@1$a{@P%zxU25UXURr2DXnes8%Ytva1lU%k3
zeR4{qA_DKG(PxF{Ok50XM4Ocihi~iZa}E8z;LfO9V%`abX9G-t^q?0)16osagg{dr
z%Vf3Kn+cXzZAani88Hvs{dT3g3Da8sxfg_go+;#;PMRLvCcdG@0`A9(8GDhdME9gG
zoxQ`##`dGDYi;5C^2$nBvkBUaDnNQI8dp=M_tO5wzS)fTuShoCB^qgkQ4N%r)>WRv
zgJOjeV#%$a4eO47et&&+kunh}?=0w2k=kb(R`{Fq_;?B1PuV$jO?qG}i$`G4RiZ!!
zg1L2R#;TR#_IK{n!D*gXP|ONZBJ)-GLv%Lt=N8$l62GC>I15E<OtfBn%+bG`FwlH;
z@mnr`D9|&08qbWJ4@QRSG}YDB_4E!Q*5ei5Ct>Efs}|Dz{r#nob;sOk(fwvG|G1nE
zK9NXy%fvy8ghcQ3J8zg4!B-8bT^#bd^!`jVm=+gcP*%3KC)h#&7Cyk??SxVuSGdV9
z_$>a7ZX2Q{3Oqc*vpXlzP=3?n%6ph!ZLPC%SD<x{qcYXZ(NHB1ZFUqfv?i#!Zm-n)
zHh$U)QP!&E9Y|qdyhGMhD0}~VAHT|16JZq3w*c#2WxyTdZj%Pu+I!fksaX4Dr8{rY
zVVpW15r1nE>w*S{r7(1AR;sFz3<M$RAYCELdXt{BF<KMen@ZK=Qcc|Fl|7|W3-a=w
zb;l+?OzLs@^+$LyO*8F-p;aC+{?S*Y#_G`^xoF8lXLEv*Zni`o<1>S)fvTavZmRDB
zFlHhR{`>bYw3|IeaRoQhTUuHsQrghYzZ-BiTh6<NB)ZKfv*1U&4FOfNu(rE)|Neb&
zr&rY<&2mGlGRM3Mw8z{xmpPqHIcdGm+XV4JJFBBZhaB_Xrzgh(zsqkTqK>|M=9R?Q
zIcgP|FD)%S9NAHC+HK~)5uE!ekxp&XB$1yav#_+?%Fc0gM1N3u-gz`PVYnnTB!tJ8
z9wqn7sLuJ!^V?ot)gblpdj0Gl8>?}g{gL&~Guw-gzCx$Oe4BoCI4dkH3>rx&m+SOR
zB`CtXupI@eyHOI7))L{1rZ&|Ky)lwm;gq@JUC_7aES3VES^zx1)exLV(-6GwU_gL&
zY65Z=fH16OVW&v*;SI*FeOkMkBAel2`qs{b&0>yJpubs2u`Ns^6(+eJKw_;$Oj0-B
zOA!5`>jtFMW5nbB=l7k>->|}2+KZ9w>~6{3G3c-lk(bzjz^MoO?%V~Z@n^pZzmCyW
z?N0mq=+?Lw?e}Bpk8W6z803x&F3{nQ|J*ir%Pm7#V)g9|qi*u*sW)!8-)4Km>{V-6
zJ-+5z&Ckb&R()VqgR<untE1logl7wqh+#oF$iH9-;pSdP(gNxEhE{H-KV)@=fsj*D
zf-Ck%$6AR+w=XQC0I8>bB$UBu0VOpP37uLN9kWpSXxbbfpyyz-#d_Uc4aP{zr%&0q
zxlf@xD2ItKZ4CznPFB@ZQlde=y}P>}eB?n3pR?ZaRlkQmbKP~4Ij<bF83s{}QCLRE
zb1W!DJ2zj^+M1AAt9Xzo(3b3W{L3^#P(Z+0dZ4%W@1I6u;)6)w5L{~K<s#7iJw3)d
zODv%S@Jc~fhz){5uz9dtuv@3N+j@(YwE~*u-~|=rAi7e(^N|2eEktne_bL0Wx|yCV
z5dWRFpMwhT3mMd>EVvmlsf}x*1wSzgO-^_Yyn2a>Y23<wreSSXQ48c_wr)U{!U6EB
z*fT=z!}j(zG+RPW$7|!&;4$pD#DRkf7z1$_3)c(kPYxhhW+Dd%2eB&+fa@GE$R+cD
zf()RAN*KvfNj=%EKlRyN8`m=QnEiS062ddxk*y~#x0rX+y;unh-deJ<&0coie-{G}
z%WOp|Fqmu=;gy1dg2^fuYZ;kFlvg?`pqtqD4=$r_xoyg@mN(|L@J^oyKYvMOrAJS?
z?CHT!J=m!3-D{nMhQ2uzR2tsE#*ObcB9h%Du*K+!&d$C!7V9f=*UoGr`#{yfG?sy%
z2F=L3Ai9Iy;1L=citPb>j}Jf*aF>`E8#{vT611LIRr&43HD+y5W*BVl0o{ErnOmoL
z2D)GvV9w<F?!Gtdj_?9(3r%O$DJueCC`H*qg8mdXCLO>U5f&8O_pZY-P>@>r@sTO%
zzu#|wvlchZ3EVlLohNTv1Jlz&YX?Q!6pSXU<k^6$0pr?L&c*_VSPMb*!i(%6@QBFh
zKI}#?`z}eDEKD8s&c<{)8LqCOscD;k;{N#XozKZQ{+U^Ey)v-JSi-0pYoDD(B`2Q~
zd+ED5*9rA5-lG};3hgR^7Kq&j2FI|9q&GYG!H&&?oKa5Tn}uFmzs!c(wfW`7jAgA)
zSa$X96c~_x{w%~qhXiEj=f}pA3KG6ZrdMQoFDAh^KgJUVZY<Lnarv}%u4)cx>H5!~
zgM;QelZNJ9EwQ^4fQ>r+JKNsrd&mU19=aw(B}Htz36lUmhl|`bg%Cgo2M5?KA4mw6
zf`f9n<V1RM8_eR^7mEe=<CuzO6A$R!qr|7M8&j|z`?~#3yV$rmY;S*D5T~iBxr2RO
z9<wo6>j2)b2Vq62$14_CD}2KXuv1JH8aMW4DhfXv`GR<EL(i(UYs-ICT#d0F*Bj@?
zbn?OdF7xbl-{V?1pmHGd6Pjta7y~b<V$ejLpIZkwZboD)47ubw;-h4&!9Df(<S!*7
z=~*l{q+rX}B>ET_Em)#2l5DHmu4=oFJ}b}DuOux&jE}%Ok7m;OWkH<`JM3C9u>Z=j
zE00K3Lwb_tM-5ZGm!if!nT$NC^ri@UVwYPQzK=J?wqlu62cB-bOR$J6QT;~8C$%J`
z%pbeeC&h9Zh`B8FW7|*Yd)5{fzISzD+a3fqwy_NPiaTHlwT=Y-YaTO^;9~)<1U5M(
z16=~9i0)jSl5@xLyJLt`w^rTX82JD7Uqv6ltWjG#Ze9XRtP7Y=%EufP!CD@%1N}Sj
zH%FroQW40JDUi94dm)Vi7zcZmVjS0Mk<kF;aHtttdAi#W4MSLuW>j2Uxn)l}2#c!#
zJR~L_Uc7KY>SPZi40Qy6+gR}vMMO_8>7x~_f6&t@_3gjLKwe;6Z!BV{$7RytpqOqF
zc#aI7FJKKxXPx^=>&78z9(uF>tbmgBvuBb&H6|DaSslL>UQIC}i@6&jsC-@Sda>ZB
z1U>PIJ<5on2qzqqBI-2v92ehrukqT+q6)I)fJIoIu=xRevCH{@KZh*>C7PyOe>Xgb
zHAvcXMN5AJ^43SOt5lgCf|+i1pLc|*6Tg92#YDRJl;7?3T=d5*%I>a2k(=DGyx+fP
z02iNz#xq}JvaVBU!?JirnvJuO&qdjD&8&Nj--0>r-8uQ-Kv4gn_&SNDfP<W+g7|8f
zDr8&*(1;ND!<7x6^D1wHzD*ToXX7-hpfzpVl^?Jc$C{a&Q&3QR%*=#@0Z~Es91%Vr
z=%Uw6y}pJ%AkTao)b&mZw(cM^k1wLav~cP0EVyp<o6cn1^7s=jzDAW@h?1ji(YCc+
z11vaJc_uhfr`Gy{)rHvyTO#_g?!P{bjgJi=11>Y)Bhid$%bpUsG;-bGY-PlWabj#S
zDWWp}CUe1|t228ACPZ%AxA(3uzWk4lj<-*A9>~YOk-SRih8{W2Rw=inXp73XsLXrk
zTAA64yoY@}uqgnu!FGB_slVdaJvOb3ipf8`FA|cN!TA>RoG48=Zi$nFW5p-?(<kJ6
zjjE=mkh(EW*j*^9McOu95+fT5cyUkk5(9xR)uXzh;+a@*Xa3w|yY+mB1y*6I?Ad+m
z(G^U>pY_$Li}w=!qgmi0MVuEdlN|pElz!mC@rDmOyZ#KYr|XqdUBNSz#MmzR-X|L2
zI!rP<+BJzc(mvkI_@uumZX}MFIEh?M4x*Z`<sKlT9%E<;CTIsI^G_N}9J?K|oyzei
zf8X~luJ}+GjTwb0B?>4+Wqi)s8>KnEA4WzZ%t|lh{hCHND2UP5XFW@BlR})@v{-4O
zM5ug3RyjF{x22GRJWRr1NJC@1>{(J}(+C#U?+jaHiLuI4&$#)mtst&mIyyRxks@P;
z^MxW64GK&$eB>4n%AcY$My~Ka4VL?$oE1%SzUn)Au-d=ep50+O%(TEAMWu_&`5UJJ
zHVO_c=Z%egMpqcyV?rqhHA=GQ$4rVudO3u$J~eIA$IX>6ixvNs4CvZOqI#5GSor6A
z<c+y!z)S>6A6+lqAVj`>R7&c&G+N*9R=1ggf6d#z0)ykXfsTUwoIhIXZvK)4lm4|@
zV<C*!cA(Q7JO;BV)p%S~#S=bLo^l*Y8=kKSNga+aq5^(xT=}C{Zo68W^#p7{9;S@}
zmwYCck3h^?t3b)IH}d=_AEXhpx_?b(PQ(J(lkOis5;tOyw(NAR70Zh*R_2$w&&G-m
zC-8pd()r|kFw@b|@fGjq|L!#N$ZS}3wRrMmibnb>Wx<daP>4s^t-kyg%Gsu(wmp{p
zSC39J!J88x9>0OJPxoFNtA1VHmddK6Zdxq4c<?ALIdje>C@)cixBG(r_n`Uji7~us
z-w|;a`^tAgpb`S~5TFqxlp&V|Gf_;;E4)>l-+LGKPIjpQembPK7CoR0V~Jww6f3b@
zKJ=j^PJe)AYIg)<z5q>%$H$Mfo&ukmzR~c;#@fc@-JKv;Icc)diM`bLki2>9y{#YY
zgMyUF82PJuxv(<yENo8v(gwvz4f*)MLFB5;Um9a??5<N60+uEJi(I$OsexifjVFB8
z;dv=V`N>r5MuM5nI}l=$7p$Or4@{5Qa91bOhz!>3<f1VVd!qb@0@`qG4rT&>j&@wc
z6=;8%7nAD+MC$f@lwHRC%9(YGklaN@MP+uxaEu7QUH0_DM90RqAXFt)+Wp-XJ^Tfu
zy}uw)bl}xyJxG{#7Q3ks(uy&lyUxg{{EjeCblqpDKBu(65<TNs$*i0#@`lfFXge`6
zkxq~JCMo&($ZY$Tc-D=)B;wJPCQ;bYE1BPpwLAYz5?wP0)BW-V9ijHX!sIS#N_yiI
zL{h5MF|5RCV}!SI>Z-&2=yCJ>$-bHrCb8E+67(v*z9*>my_Oca`pL&vq~3d8Y0QR&
z&(F)Ob&klsOIG!&bAc4>Cx95xDlnAHbpTuT+#At5W@}fk_uEn(%nR1sFentmE5RY*
zZGoK;u(RpK*Z1A?p{*G3&YIYfQTx+eToUu4@H<5w{jZte;7(q%a#V-1B)g`*{!u1o
z8oWgs8cI!Vld@rSbc0#e91ARszpKlJAR#NglkgCEEQtyehPPA;r7Omz>(kb?-|6|{
zQjb>y7CUI{-+F$8<(gonefcGTwkzc1pwr`FwQmyeZcV#%+zrTZO1P$u?1nfb;Asnp
z<y2JcDHfCfTK)IT@$wPOho_>LM46tOc|Y7>6>V)fbNFAh?}f|+29_aW3o4YU0!$S3
ze9QF4-UKqls@f~qb+%X}p0!BSf|8Pg!c`?Fj29e_8}6WC5Utt`n3#NOm*=vk+~yCA
zTR+))!_l6JWM&@Q-J&EoyR&9XfPZLt<vefo3;Y*%Ruu73t#}Ye!aA`mN{MDvav*#M
zEe6QWhn-crOltDkqN;s%i8tKf@=FjLpcMhQ%Ut^0%ei^qW2koN{`Whh&%+&a2CxX_
zBvtG(f%-o2Q>**yJ%?i^R6<Ha+Yec1HrxZ2kmfV-P#n{sU*HxNE{E-5r!O$Sz^QV8
zrGSCMy2Z_{;=<AT^7<C4Rf)VA_)q9AL^ri}Z@q^e6-sb-_!dwyq0IuX{8Pl1%N}vg
zORQj`WC2}G+5fugHObOdna*0(;!+!NknHs63LhcpTSl*7lbatIi~xa-{i;&9rGV$w
z8??U+K&Y;^w#7|d4<0IYa@q2y*_)xb>(o~7UVaLmi@>QKpXlCf!8kDTnbmfeROM>n
zvpHfaVMl<nF8p&&hP?Uc$lEDXOhZFf^~>n$aabs@P_v`UCf7fBZQGhOO&c55)pCi8
zSD&7Fw|Sx&#;1Z9E8T*jTnAGmjAR-t67=)Q?ZqqhA_vsf^#ARi(pvQiAse!J>hj*?
zuKV3nyrUio-&_{s@e$Z-YDIN%56#%~^XF|e^bU=?9H?7NAtur{-Q2RXNh9;OCAjXJ
zIq~L1>#P7Vz|rpL>FJqD`|UjJUG`@sCCM^Gv~Ystqk?%|^_Rz>I-mI~o~#b$9#mkN
zRiYd^z-UXP%lS@7yNNo*w27J;ndyo)WXte5hZxnz^LPfV8xI=&OHnK(r`;1Nt@kui
zUgIKN26J7p2?~6}WTf(UQK~O4tX;Sg8k^4e{)_Fex>Q|u-BRgo7i1tL-AC`>X&z!g
zUX=enlZ`-@{kQ+c`|@YZTH!}Mm`k|bB<rQQ!c9qe+8<E3*QFluitctvTAX9<PWI~Z
z=rR)j184#D2aslW0zXSx4Q$^Swn)YE!!~_B?;dGtx&m8zW`Y^r%BvF#k|4x?D<+aj
zAxb@aqbF(CT%33G>nf4#5ptP8hUZt4gT94@1t29qHB3}g6amf$YR0s>K*BSH98|C6
z!W*pw3DT}N?1ld%kYyx+T_YD>joFqnwMVf!T%}Dh?Z&&L-|#!S27TjwWa0$w%QqjI
zJaYzg&A30GU#G;Y>_+=YQc4z)Krqm76J8hKx+L@h>^5*@F)1KEKlF5U>46sk94|0&
zNyhS<Q}sCfFbEWfYpb90ZC47-sa`n##B40Ik9N44IJ|lH&gh<EMct3S@%)OaFWgdA
zBZsqJ=jO~o-#zt*&F(C*%EiOMMn_$7<}XlXW}YUCOk=bZ*9Fw6CP`?5fdmI0M`c->
z%Wl-^`;Zy(s3ZGv-}(qHic;VY&R6!z+PijvKS{sre+$1|s;)C$eJWoxVOvi7T26DC
z(ARXOSUjC%;u#Z7(deqk86;UvV>>g>5X((EIyt?T`_Q+@!O01|{w!EQ@Fn(NQ5s@Z
zTrf`FB=GNB#OjjRUdhMN@-B2lQJ49gkhupaOH0d&sQ}u)o11udzJLF&UFB>AnCLXC
zBUL)}axn-#INYDsPkzpqIofdI6J6CVGLeP-Yi(xmdk0lOZj9TO`zA6esDKe1?5(S=
z)nFHa8y&9KBU?Lh;MoK{8fu?E!wk6k!6}ndP$1pg_5w*YrPVh;415|d31c_^TM7`J
zv|J?`y#Dqw7}hg0pQyMf-e$i3>cefm&JfAw{;}ofmkT9$N0r9Mp9kR9*~^o3pjBBd
zy&GiANZ5WPiiGzGCr8wNY%>E=nE9ppTftiwV$dkmi`ydM@3h6h;eJVNgyH4oyB|J+
zvlJBOF0DN6o1nk@k(x#%ME+tpdn?nmWSok}J!3-II_ZI|+%)TlB6B(Bbn}PH5(Bs`
zo_FQJ3X{${kbj)}J?9*rHVRKWlD$lYKj8tCb<=In9(UN1;|>B-OkCVOMYO7Or9NzF
zLJs;;&2++3!aNp!rhy*P{BFgu(skum5fD|t10g3s=~AZ@rLK;aKXx5{(j%@3IK>W3
z{eTOxKN*0W9Jvn^KWUGJrd+N>Sx7)Y0=Qsc`Rlh2X}~wx2J4nw(xWw;4r?rCF97l}
zMvKV36gtYsAXfBLkHXGrtoi|>)5(4}V(8o>>!VCRaad#3_mRB-so@*>{dN6PFrE9$
zX%&qDSf7%DocRQ_`^;7~;@?F6u2iDdx)|&<{eHgdDrCBKjw~bNrtIc)kntNv_1IaQ
z=w9&@WglKck*nbpG=u@bZ~1I`I48gFwdi;9Ix1+_rk*d`drWctWw>ahd<J&fA9H>@
zd&|w;JUN+Z<OLDJ*6X*Vc9Y?@ca4_n6S=9CbAin!J=M$Es;Z4YB28);2te_r2$h|r
zqxfxq<_NYPg6C@t=fr)^v2v~}WfXo3pm>GbcOw)?n~$*bx$g^v7qB~az^@gtc-2mL
zY|a6b$Hc-i2@YZKqXMjj7egy->%EW`Sht5vhr-0J{VKZAbNZpGx*7}yQPI(x;6m94
zvMB2<sHxk)C|`JW7ZldxuP^X1QT3mzs}HfR7x)pIwffVO-rh&`lc!j61hkC&PoK0)
zpK5^r85laOQ3q>$uq|Jos67OO4%l^SL9_z}$t0<BaQ-PB9YQC4INTi)8k!2)LP@uj
zUQ~wLq|Yue|0_#NSOFiv&5G}vMz7TB>T3Ayl_k)=vD+-9K>x-04Hv&U6WUB9ad!hC
z1i9?_HYU=NS-pqGK?G&`;))D6HSDWpOwd#RA64HSj%6SIeVN^4lMu49l5VRI*)w}n
z*@Tpl>|Dl8$jFwAkcdjis;tN?BgtM-6rwV+-}8EY@9#a1x8r!8Kc3_1zVGY0zSsAA
zo}YD6sjfD3@OLKh7}VFwNJ!jjrV21C15(d|2?ggNQL`-`7akhabkeVc)JmUN^mNFf
z433+C0Q}fct6md3Fm(axWKN>{%GIS4U9G8g@oNfMj9}bUP-4!`3rg*VT7C&R&u0q(
z&<)#|4tYvHD;4hh%b!BwApd$U;Q|z?IBpD^Og?p~;2Z3aSkwkk!6z>4g>0dde&9HT
z+8Ja;&tASXIIE+l*9d>9SMKizEUBk3@nRq#j9C5-p{5>~kXNtPTWJ;I4$N%;(VV=A
zLENx`*8oER2x8r5Z-5p&rW@s7_p}=8%MXo>y$02U!rm-xY3a?;N~e}^vYq_By*)_O
zfSWzO;)@<G*&M!x581u)@tZf)mD})*+Io6lE@3>vASUq`)H@ofj6Ia4@+MCC0RPon
z(5e7m3*;<ZT4_dVdOFRY_h04Z2w%@afW}Zw^!_<_+D@Ho(R1P)<PVkTq%}&<TsZp?
zAYd(zOQ7C2<?yGq$l=1BgHRH*iZxz6ZV~Qwzu;i;JJ)x9;ZoeHHPQBN_%1iy??zN{
zEzXtK#;X3~p{4^alC0gS$aS&=H&yL8=$P6Ap&bC6?i5l7-XMpdRl^Duz}L-B-fsf7
zp`f9=1oKQmN)K5mpixp`XAatdy4;y4v1$yiZ=Bz~hn{VWHa~N?+jKa7EwR1q#cN80
zNv$3r?7{}WNy}?FrUnLJjsVaq)I11?bnL%U2xNmi30SrE_!A)EvzAWY+OFu}ytg@Z
zm-NCK?tR`9SL6}(tI>zrF*e^Fk69$#l1?U{Fif{2LhyNV$~bPxn;gG_QiwL~`z>_Q
zbC-zLyx6ZvjO+3nA6n>}5VI@|7%WfJ8}~)m*uRfmmB${)rz-xl;NEFw?3G;-K`=$e
z*U`2x@N~jEU8~RC_jgDAF|=jBOVv=d3V4||jvTiM_Bt$H)EFNh-#y7gSmao}xW3C@
zDWb7@fok{8cj=oW#<XkY<jUypVvk?lNxbeOy#~~o$*d1dzllDbCO9ca+kVm$`PiXr
z-*0H}h;rr4kf)qW<`@e%fqZVwrC2+Z;}LCNiOvfLhN4$uMgkPtd4;676W?Q(Pr>h>
zfgNX&*7;-BMuPwVaf`G&v`0IB{?Kane!B{FI-BQ%hWGYFp)QoQN$Bt=G(C3I{mV&5
zFkGRrA(H3HOiVzu6?*;h6aBmw3NG&MpHIS1{^Ca`-EEve{NEkMT=r61_e#Hn$~B)9
zktoYC$W#$J_Q5vUMVh5bi;Ac$!dtGw>iHdKB5tO8#HL&a9RA6n*Lev2Vp`KL8)Pf>
z&#CUP^C*tsI?&4j=}wmC`@BotVkWg?*Di(`TE=a-Xckyb99h1+NuM*9lb4644yxPH
zbPkkBXFm~Zsb>GS7)mYuDW}?{etLEIzaO`1L)F)R@DVPK>Dz_#^t9~Kj}+jD)5uFH
zyh|rLmHE-RYV<?ZXFCIVh7&=Z&IV+9jHKKG0(YIz(b!7<Le@5%0W}LVDdS7_Z1FdE
zu=YJ;OXMe|<mwRm{+@^M)vs%gvE7dlB@8z6s;ZQGYiz}(-!l(nPQ4x0lx&~%eEj5z
zkv5#tSuO@-tSs6lQ8Auz-8z1~Z5D}9d|4ust6N)^xsx`p%IaZnppYDxTde2YX?xm6
zL5@a{q#q$B+E-fV?9P1Kr?S*M?cH-mLsrsb>Mi|w@_YwUZay$j*YK@e?01=W(d1@x
zVkvkaJ;So{*);_!CRnxLj_1PdbU)~B_z1Nhap>d6k3rdAw_FmIV3(@Q^Q1q8pwpwl
zh+r2G>of}8sB4zl!qYE2<U?G>Xq32ctGaZ7n8YW&4_#fe(l1~Wbdh0ST56C|+hllY
z|4gGb|18^)P;ga*tlE5EjQfS10s!miyZ3z6$TPiYdpNqfrLn-pXLae)z3J6eg~9yN
zQf>5+Ky!pxV4fGHyfOthP8k^5F2_#`BdJ3*AF{HJBA`Gzf8JbQ4ZVKuA+Rlw7$L~i
z-Pt)K-RoAp`O)ZJzoO(LalL#ET)tRZYO17DH&gz`oBdmyz`cX3@uDlUgM4fTY|wcN
z0hZ~*&o6H^aQuU#_J@E1pxcZkBzb9RWMcdC7O)H5eEWSIJ*)i#B!ABZDiW)`=G2jy
zfRNs7nZT}0^le|nO7qh8Z+hj3Yj_rZ{ale)dpygB?rwX_n!b=#L=iWzFuuDVlF>6X
zFpys=+=_>v4y>-MIc5GuhSau%7W#j4v~X|L-`Q6HeW<}hFaKp}|L;YWr2&hRROCT{
zfdv&)?&p>&IBTO-B9fAmy`d7i2)`23aePIA_$<}}1i7z}3VHhUDM;5QF%1RAY6G+m
zXt>kiQAlWkzI4&{kH04zFNZ50C>8+McqeFCmolU0Ht?2l&X+jhum=KFmOa5m3mgV;
zyc|U!6el4)v1?augl5mS=CmSiLjd<~z~hy%Hk?^t;ct{j<5L-Qi>NN)@+I_zppOQQ
zh9Z8c#r9=w?Rh3jh}v2`51~V`yd-lc$?kI>Y~_1h8<?ZRE;pLaUi?8qZbE|5*wob2
z;Gps9^L$02OEK!v51Gicp@#(R3c1c8hlX|e@QN?o7Hy%vzgk*aaFKN}lY}ZDUZ74w
z%Yn87^#w)=fV9;3$`u`<8!j&Xs|{NRP-DXGrFv+I)g~Mld@<T)Er8AU43(%qroG
z3!m|>7e0Nu_U7ackXO@iN@CjKk;W2>OX(s&3WdyV1eU|uEsz)N4f@kc5zsqp{0|FQ
zV<Dnpm4kBHzz+f-9@ASe>dSe7TwN>q71X<+C+B5{+^+8(oIxU+^8;v}#_lbMBA^8z
z=ZD`}I%TAPbo7Vso72AM$tO&x3=u9;f8JDdz~>LUttF;}RWb#dd3|%!Y}q5`j9h@T
zwV7G^;13;xB0*6}<P;HOSLQ%gHX4;64~>~@?5|(Ha&vQK(Q5a5CH%)iiOJNzy6u}9
z+XVvg3+!BYshMeYMTHm(6$I)OM5^T{!~YGhGBtmm44Z<Hv9aIsh*#ICjOFp#RUn%K
zfgei%<jea{0>=fccmWgCbNHuu+idQ}2iUPdpn%qc4Ic$S;04r1E&(8)0~al`hy`Aj
z15Dx{fTNy)gYH*V*xN2gtOkO_1BT1eJF9<P{AO%`TZ@V!r&`1PaI}P<{^DQdz@XNU
zhxm0P?IOHCpVe=t!LF(pxZJk9VE}Akg*2o+Z=~bZic=4BY8G?}+Nw6tmPxpW=139R
zPf)57Z|?S;;9>5V8Su0V)>wo<fEAG5ZVg2Xad+RTGKvZ17i1{^QeXNcnH8SbfPC3p
zw9(GSu#Nev4A*S_3p^(Mf(8Znp?qyo`+iB?zG23#K*O(?`uEwhWlRqb!fG%y1O^3x
zxCu@-5GdTjDE9}bX%dv%5LVW-zd4TWY)~A285$}Q1T>}_M5POTdFb}HjJ|A{ThFXJ
zldiyZLoZooUOrWQJ!5*cueaA4Y?Yu=$*CiHPIMKNUdB&!0w7~c0eCKWL?HJBUULoT
z-uNdBaZ=r@60FsZ$m@cFf~cq{!x!u5B4BgQA2Nxscl7|uewi;Hl{${YZZkHv^FE>d
z(X~+8$WcALJoEbic;x1CP6xtX3C@YBZsv?c<Dpe{@ij>qE&1wKwma)T>V!Qe{@krS
zx!frFE5qr*;|KM-b0L;Kau{@x1g=)dAz=&1Oa1KE;g8HHlTV$^MooinLb%^VneUrP
zh#xAY=A<)LUYoq%OGX{6DELvPy3dnG*(JNR=qxV&lp)jBifiiou%<u4Jj>&Qnc@nk
zet|-FDt7-&7=EyLiv~&7QGFm73vr-g_onKKh>~3QG<vE@uP{RYb*n%SmafTo^JR;&
zx9=jjV(ocKH~mq$jVZQMYT+U0=a1cMi`uru3-*ZLbh+D48V(&{d-4;GGe6E3F@>`4
zXU`6tf18vRc4R~?#$?$8@~qlu_UhEaIwcQ`7ytJ=G!o}_9BWBGT0`s@Q%N^<@M<WV
ziMA^rLksjMj5yyJdbUgC5k!b|uI4Ne&-tDdbW!Ga5&ED%VeLj(dv-*-0JWlCbKvdR
z>ofGqf>ZvvXDc&IPNxY|^(XODlElPpJi6;mynlE4cB(<MXJWr<#D6~$0EYl=rS0SK
zb_(nD+j_XnXZXLV;i`_&L#x%dsMhn8%QNzPltrf!PxiUkKj}BlR!*c-{tYF`*f=^q
ziZ9MQ)g3G_!pP-*AHL4w`4?4_kALOzNll2Ck*(#JcSv4I(2>QFD(IpyBPsqG#BwTN
zvQoy$+&Sj|u1URcz`3e|ePl4YPp#VH^&r*JFHG-Po878G=UF#=z1m7&mfO$IvP^I*
zM_d<|8J88JH?gGlyI=q%=;RkmM{;r#zJ9dDLl<o?+wkS`snK_-@^W8w1!o)7&FrAY
z2nUhLbF)QKQFnu9cZNq8BklOot1B}jIjM~VnXoj84-Wt~h`IUUHx(3!@f9Gg8|+Qy
zNz(jg9$$$oRkloDQ}_P*bQ?IiEJ-2yG&rStd-YlrQ_v4t3hOJ6PPc|mmR3@YtZe?S
zkrIrBr%ExRPU8v11MZX}9Qb@%uoGU@uWm0(EmGx;`@o>>{5Z$Lz~KI)z#P4W&r?67
zevzb_nhw@7{$ouO^Vfa9iDjZul(KOIfzngqMGc$GO}itU`C{#r?uLej&_MlQH`{ks
zzks&lVLySUP~_o#dPC(-IJB75MlX+wut;h-OHx}flUkpa7aMkwgja{Zz?$hS6Bj-2
zS}5-tjyn|*=>d^M5r|6Xq}605lAJ|!V8?~GDcoKjVWElw54pB$PH|S0RGPV9e%!lC
z9&^XD5Q*S5UChj#>M|0h;j)a1QKi6(os<MYYbK`Oq<dW?`Cl7Vjb4FlunG$hcCCj9
zbMpbfbK$~6J5N5}D}xLvk(_Xkxl_3a_W_HL|8hDO5<Z}~GVT{hZJnJ7uy#4NP7RSk
z(za*Zt*qEKr|7eyUy>yD`zzsCzuk6$N02LLnf}c{@Ubgf2kPZqCF3=R2qw7Le`%(z
zCYgqP2a+XF2%ZF`kLcO68GJvW+M5QvXr_E^8sy)w`EjoGL-Td^&2lAo^$~7Ddy`?E
z#xwvY4`gq<fnrXTC)FsT#a8^mnx4EeBNMDp*{R=h9<}2guaCL7NOFnCAD;9SZ@d2D
z>Kk+ui?Il3;7{ptKer{+CPIbdX3|hE^jcr#;39mb!LC&DcYm8szJSVvdhe{Kh{a3H
z)(-ltDUc3BGZ|&RdZu>b&%e1u+SPjKW9gJT5(j=YH~ss1FW<l=^|Tr;-ytqNQ)JyS
zdiV+;li+sV=m1Brmj`W@A|7qz#V|RpUJic%QJ_&ZH8;PI(+lT6z+cb%D6Zw)HVeM4
zip!s)BP-yuCCz=$=evl*|M$1%TJRUvpir6O@S8}=%R2;sMeXPXS=nB2C`BBh{n>O8
zq&;9jn#NjrX-U`w4XCsepVI6Bv<85|7Z7sQqT?8D2@aoMAU0%AN#}}N#d>l7b079n
zFvSbF5w3mAI(FHAccpe|0HhfeBBy))V1N@S0{-u3QmTF#`F9v+cq9Zwg@D&UH3I-L
zB!v6{yG<*6w&-h9aW-8jGn8@pzuhxA{(<0>6ao0^#2NI*uU}Iy?MRSkAbVTd@b&Ql
zI6*rZHkf@O&J|U77!eE!74Hw|?2QB^KA%k2ifzF4@WuaG>g?;ov`v1iQ<H;(;2PRm
z9xY5<f|B+gCNB{@Pfi3yBAv2J@QLqCJCFv1z+XsAhnQYd!_@5TY`7ywk!-yMRE1XF
z=SNY-O~6b<snr%Ui(Rd_=<f5y*s&B2jG*Rc2nD2Hd<Q=-*k5W~p4`bxIDR)U$3|~E
zB68Q4QAz7wTfUcy7ZfM$2eKfB20K1<b=M&G2vc!+yjiIMa?0@LCoh`03(6Elu2y&!
zCbc9dOC>rTenxJ`XD1?2x-8A8(J;UIE69C#3D0c9IwG3UP}rewW#=4H0Q3dndhJNV
z?ZcP)31WRRdf-D|8PE{`z<K<5fRkR0QQ2Taq3W<V<h@ERa(Fi@t)hv|^6$RDTe)!G
z_Z^VDc?h?%YiZ-=cn$S&t3+{lzNhp6`}gznbANW81*HP0+xN}BU>`gii`M1lCBq4@
z#UG*A&;n`cExq;Z`FTeqT2(zr?nr)&+Tbftph75TeX$lLquLV!_uH^P#G1vLP?PLv
zP~=-sbSvjYU#E!}Z~+{C5-enZ8p?mUA@j>NSVK^W?Zk;Y7j1HCtt3j>iiuA>`yg(O
zLRiZ3vU~BM%ol1^oGw-C6_UJ^6cQw8>(>wpxz}S&r~;CGXLEGm7RYK4h{=k76_4W>
z1gMfEOmTD}zJX(Asfb&FwBhq0b)$93ztW1LBDLhl6*qa={3Nv<yZOIfduB6g7kFOW
zH=8n^2D^M^Kfl_(g)(ZBnBM!SBkgHst%_KCZ%u8Q;qB7#v9YxT7G;<F@KA<V+Z5LO
zRUm-RbO`bZjw9fKg+GN0P~<{@#5RwzhLX?<#QRPRF5jZp-S6cVBjrA6^2>Gk#}C%R
zFZsXk5eu?0Zk;qe;cO6nR?QIj0>l<PjSiFPb2P9zzv?A!pc{>BGBV1es}mU})Uocz
zpzRIZp&;D9Irhqxa39_w@m~T0nuq83UYNFKD>uRR0m#m8Xs#|@x&+93NYhCKv$l-f
zf)|<`DbDup?z|k+Um?s+Q&uW`@0I@Q)#DUl?`gsmZ9k7kw!a}=AyMcyUKA=KarW2&
zC*mUNUC$ErKmlTCYK~xU41*$*nq|6_-p~k9c!Qf!GcBYyte=SLC#`h;$d=gg7gDex
zsPERZaq;#jnGtVrw#ow%E7x~Awm@SmZ*N`zOOjtFH8q9ISz1KlUkmNmPX>ep@Ntra
z1`<|YNF5VAwIg#UcW82Q5>SE>bYukL+cyG*iehdGvzZItw{vGZpPAQIy$xaNqM#-P
z`D($bH@+)YQ0Bs(ztQH3^nd!~jrFM@W<fB|$8jbmz8CT?im<`NUQjbc9`%jv*5Zod
z_<Owb4D^IRx(1b{o4dO^5Ntnw43tOo|8|8y4G_W`XrLMzhbkD20A|FrtSs4`=WL9v
z>|sYjLGW!3?v231{jFnaz@FsD2l*}!z$pw{GZB)I$K}Ixw@UV8z!6quuB>fVM6d|1
z2uQQkPk@62&c+m_kScZd^t9$IB%EYY9ALl`>qmVFgIuzN@8^J&Mb^NAqiQUM%7fAG
z{Dh~<`aJX~;Fldy)lL0`p{-EUlOcc_;dOi(yWT|}1qbj``nODy!PsS<O?M(f7Mojg
zjVM#`RE!sRg;<ycSOxx9OF#t%1I^^efgbVJMviA)Jv>0{^3KO^QBc*;#58RoAa|kT
z^_jwj7=c`rWr;tobk=W%hzr!n(8Hcw>jy_TX6}lg|BB<FjZ^1ESmG3MKNMnb;)xNd
z2RZ}EU=#s7pu6(B0o`L<5tBti@J2w25?7@NkpAtta^969J(VB4*!%w08LreR3u(2v
z)XTPA7mj7%kXyAW@cWTy4^|eehpE4XUNbc{h4(QxHULi5Ve6n3kn#O)nqYbNFTsGF
zB3uz?=g7Q>)Gk{_@}@3MAMwdISOgsU#clJa;RPd3-EM?rw~A!y->F90t`o+Z+R2Xv
zDLcH#Be)yQ)eBV&Q=!TOzEt->7~}tRw6t1m1D9F9Z#6;A%ZTfJ5+fALeZxF){-#_$
zax(!_Zq=0{naMkwQxqi37d~XCot#vMBsu80O;e@b1aU2rSn|Z`wBh})@-c<}k&g#1
z?YEl+Y^IQ}16OkAPQ$^Y!a@?`@WhjBbdi-Y|5%MAoO`pi5|`n0j+YOBb(i{S#9b8f
zEx=!~@E!e#r3fr;?W!5N-?*_4EXr+Y_vVf#RD}QL$ggu?X?L!ok6$Co@8c#WY#mkG
zOm=xzoLU2_+1F+Be1_fxsY2xdU5OI!WI_JBKZA!b6nHE*%4lq82!4*~)vFxTTTmI-
ziF(-6t5v*sadRu|$!lNqPVJTHLXPG1QZ(x-Tmpyyy`FXc@L^E?xwM1{;DM+EH}Aub
z=Kux-Pn(5;9fY!DV34yjFpRPgc{L4&_K{++aVmF){@#a1ou42FHgJ+Jy8w^m(0%&+
znG^xT3(vGaKt>ykQ5m9ogRlO3zW2`dc6QQX@aMu21@vDFq<KwV`=>PcDg!*#P=$c{
ze<yAj6U@RrRVh8)7$rk&V{LuV5K}FPg(SAVxd<f|9Dpf$)TY53Qawu2NGTP8$QrrD
zklNb?$(iRK>MB4UiFvA2<ldw8t4y>?CvobK3joQoo1zDJ)vcnl)58TNszbOQ6zM1x
z=rakvI1PCs(l=El{0y!bP-+v4x6|IHl$YJa&MkV#Dc2^Ja0{dj)i$~J%!|#y_Eh>&
zHkQb03z30uZ{SlIVoI`0Gj}&XJykOP;GI(}JDHQ4lqB{JkWODP+CX&0!t*ED>XzD)
zQHGg3^=%7(F{Wkh11gC&8fu?7apJnwL~2z@cmy#CB8(Jv9eH!rxOseFfPVU!2Ug&L
z9;N$lFlfCT9OeK}ftKPBq|t)0m7cT8YK8#A?uQ&gDk6+8cnfq72+Ms4QhFe4#w4at
zoP@W`fVs}d$Y}i!%xIw9&4NuGFfUNck)fdgwWR1@tS>CYWVPe99uSCr0L<R{;Jev1
z;9X$_P$8g?m2m!0QdV{uc4B}su!nzCw9b}r_J%*hff~DpA)Tyj;Xuh<Ez9(+G%2;7
zYrWmIqwXpEy0IakZKFe?HAaNY&eGm(<y~%ua6xk7u=4K94N9U}sOVj%2a`_E)x%0l
zVQ$6^Jj>S$<|nDsa@znw&~;(B;1kyZ;K2+lRg{qNlb0f=wT$j~=)QW}X>DI^1t~6t
zrvhaIKT3Nx%IX?$x%4;D#`S{-O?a%w#M(5Qe&r!)kgAhg!x0wRGC^%KGv*FxH&_*x
z=N@#-(W@Cc#Fe7=87{vNlarFA_4Q@=lmh_ALjzX=2!?A8w+;`cNoeJ`aLSNf)fl`D
zRdWbfKtRWA4U9gNu#QGX$s#?#l=dC|PDCM>j)Ql#IS+fS0n3BO1h*ZiI`)ih8`$7m
zzdXMTb`bbCW;|>FeA938_3Z&PNdl?+mVOy-vmD65fe}9dsWK^InU0aC0R6dd|M>>4
zoPm0YLZL8@e^XP|$V&^6m@?vghX@F+6B7EdvZAZ4o%}x)>!PPL=tu1J2d}*x<kfK)
zHn9T2^TLH7zB5UDT@aLNT2r@wWjQ#2m?@M}Ze@9y3ccIP-r>a#0pd^epRj4gyZ8&<
zS6v=`(SEkM5H=rx>{}egL5^*jxUq8}4v6vzEh*iytuLWBX0(=5i`G7Fg(XF+@&M)L
zASolG(^Y$$9?=d>`v<vn27+x~>^+r`#V0S%(YpU{eruQ3mt1lVaitfWmF!g&+SuLq
zMc>F<OMw}p9*d+u7_qO|!&*F0>|?tStjlfCv=6K@t;sb3odgjGpP{q(FSz}E*=Aiy
zNr^w~maI{uuwcO<&U{8+ORIjRX1t&YFh30AcCOlnXA#p#n!5nPa8pamdSLy*x;GWF
zyHYs0({>x3Q8T<!<xGu0Q!1kbXMl(u3#6@b%2z+T_#hsSkdWO>=LK4WZI*EU&Txq*
zA!h$3*V^aY$G#^TuBx8d@)?a8dPkv7p=X*3WwC)ls1n%4v+fW4$>*<7>EMQPlX~3N
zUcSQ%c5dM!@0nIgMak#;I0&<X!`Us(0S#J>`#{NAb^hx>^LXjGQPqcrV)RKuX2lR*
z1Pk7_?&MunLsF!hD*IM01E*q)`6tq=%Ln2JKH$%MYARDk&xXz6hE2uX9;^h2B!I{O
z4?sgaIR3?-I8WRRDOA9T?l*v4JM|MdHP=0wF0R^wR${J!B=6zF6T8<@NEyvb7Bn?2
zd}w+AzI0BlT{>mM9si60QYCa+g%E1Hx0!9ns0L2?dj%o8TN!rExsNw9gFkxL<wTKL
z_k5)`D+@E8mC&DKH2|@!)SonemlDDIglA#HYdxdCanSe7-EHI*5%7*xTh6P@W!&Zo
z>grr*T9lXV?wEL9jJC~41@Lm_&1`z!G_$u1qdR>{*m&W&a1<=-72fP`cNvscB^X1)
z7ToDV{mcD-PCwMu*N1M2Bz+a~S%UtS#x=s&2nbp`bpU=yVdPPMzTNxSV|Qra>>yHv
zB3XHC>rPaE*lNm*mFdu`ZUD3r*RblU)%Cb?N!~m<KcC|KEo0R+)rseh->J7ldaUWd
ztJ2>@{(j8+=W*EokSw0N{{`Xl5T5bxmW^Hhg_w}hap}8up3aktg-oA$-G$^BV(R$W
z4xuNP3<0%P*^u^Is@3E3k5|`cAK*Ho{P`cSZdYEGckAGPc&(M)P%E0&pY*t4)AO{-
ztVJ9;v|++1F3-zLA~7C+e&@JCfp+Q%E*W~mQ;0g<&P^20073=*m=MNU&2Mv_#w2-t
zN08}VnLqw=h=HMD{uWT!m(Io7u_zxofF3^fqIE-HHN+!IMDTP2oR-rI_JeH5JK(*+
zrM!3o$|B$#jbKmEqFS<C!u5m?pj09ndJnE<rld%`6DC!X{y~`NYjnG(c{idqtT-pU
z)|i1P)J`z??*a>A!puY7F9{)qn}=ob48nH2YtoSi{sbsfyiNh#zz}2dW>Z4EjKyh2
z(1mbJ#_Ve>#~`S(G#WYLxNxxi-HMDDX|DA+oa#Ltu*ZBB303EEE<i6jl?ZpHep2M3
z>nQpxD7x&sn@Z)Ul9A#4<RXVtfmR%wv*oz7mL&tn@_^)XeWM0L&Z6PL&p-D67WOwy
zU}laALvJ~jcMFGrp(kROe;cNzxKk**FaZyVr)u@eE)Yx$qFr4H03q7F_h1R>_)AhA
z$|fhDmZ0^h1;v}v_B}BZDhjbARVF3T(yeHx`EyzX3C)c=63?HNx$(1({NUez7pX=^
zc=t{@qJ@q!@@K<c<1fcYFa6`Y2v>eiZS&=*d(Gyi@43#?>RS478cy0$Y+sa9-QK<%
zrA`>})R&=T`PEVM_%R<W4p|bNx)e5J$pZA)<2VM?UbQck>Jor<?8g0xs_Pe(p*IHu
z(Q-a$$ye_LvI_(OQFv>AX9G@N*&SEV9=rp~<L`#z_(r>_=5aWorRy`GqXAB3WW^WK
zqH}X!VDb}iyV{7K_m=AeG%4lUr^;@#42`7~Y70_pW+tuF<m7*R_xiV<2%%)nlaJep
zizvF3%V%+WUbNT?8wSryO${c?NMt@0q-@1QD3X5TP7<Dl3U-<IK2|x!!j6>x_{w#)
z%_P;BkCCv%wLNyVI(&_vNK_%*2Uh55DI3jQI8k2`3JG+j#6y%4DNt|&OVsf?{w|z0
z5N7cCGZu<`3cZxB+N1DqCIV=P)jO{n!$6JB8E^?I87w{pi`f7Z(GbQcJswOKvBb=X
zP?FXc6nuT0qQ@4{@LT-Ds@w6aJ_C^Tb7J}l7lAy6&c1dW!nPqH=hGmhp9c*?(aJ9%
zkY|wWT&3yywAt%(vqb&5s+P_u)uLha_@BUr0c!X4J8pAtYAC5G$#i+4XkR)W)sCHh
z?X<9DfJTAF?!g1ss?o3GD0DtG<0}vqJI<RaXT~GJ{*B#DT;HEUwdpGa$PRe+X^J2$
z@$J&*koQMn+gDQq@KoYYj`64XNLOXUC)KZ{gCHXuFjt4k*Q*w2ohLT}fR#MhbpyKq
zkTiQ{A(nY)6`1@M3)`Llm<ew%5R-+jV^G2Yjnm)~;Nh_fxFf8ObsK%T-))c&Qc@ZS
zcq!Z%8DBB<_U#P_3C4y}#l014#s4C|Y<2lEP}F`9arN<m1WXf9?u7KI#Di1_#X&_O
zpWw`ykB;I%b5Fp>@0eNO^6j_?AjgoPa;Q4myUuqjStw7d_xzaC1M29wf~1?ZHa4Y>
zNzqC~Ani#wahFv);Rcgp5g)yR!+v+a*imc+X-iH#Y+0T$773S1)6##UC+t#bS@7(8
z!urqITzc3Vq!Z=>IH4v`MR8iXnA__o^rHUnC<I{ISQWUs*!7Ar72DvaPj1(*13wS2
z3p`H@*o2xO0IXrtyA#-SFvJt~azIK~03yzV5kHM5Cf4>q<##Yki;hf99f0c!59JTM
zLJ*7&h&)7cJk0&7w*@tph-KyD=g-j<(0O|S_XsbUp8SRh08ucv2Mcie=1u*Eh*zwD
z9cB=DjMuC{P{-opB6JZNJDN=(5Q=E}4j}-mO@{|9d57?M&p=RWlm*pSMh3XCU%CyI
zLb(zQOdNb|L=%m&VE2meE%pUU@ryAerA1bf5lK0{V{E8vXW3H`LnX84A!mfBBEuy>
zscvdYue=^c{K5IWtRSBw<sF_EG5kDGNpR4<wLaV7l?<n83@L6^?1{D>-P6m9F>BoY
z(frrr@*MVqWizme7iDD>+`!0ykD8q(+fadqUb+3R9uefn=7sG1fOcXRFmI^B^`Hkq
zG2Na=$lr$;1PmfOh@B}P-i7~I4LZUnPskC><+q$}Ap+cN&0DC+mcBd(mmSQ}f?+Oj
z$A5vSjgpeGpqMqj9pliU+OmY53d`As40MP;d-(7TSn$A&=?>bn)|<_m_wA-Ng8)^*
z6mc!?D0=>}a4!5Tc!(dNg#i!%dJr4v93e%m2{fWa`l6>#Ka>xuDJ{ho`%3L}Z>2l5
zK``UV44T5illv}UCXIMnQCjK-r~-mTC}9r72oGW9j#2<ra`IMJDZG-kLF9hl-H0^Z
zm-THbF<qA9Jdy2dp?%cA1Fy_VNq|${Q`=6@%E~IQjZcvN;;+)H+uQfNnx3Vd4+$Q)
z<JBaRWdSF=Pd4b0CT_XZW-@&8KZb-dM0AuC7al>hpC)C6-gg%rCJ~J^#~pn{Jdnu~
z6!Xy;4A>nP<&+COGI`ek8ONf>)S#RLb+(BKQ@Iw~Y1I4$kOD;q|1^VssmTLgUs@^(
z!3N-;>&NaZM1J96Jpvx&2cBgh9TF~;(Ph;M7Quw3lPVG{RLu9j1=Z#mGLa#lTaQjF
z7S2$5@mp63(d3eak))K6o0d>SU7;*z&-MA3#j?^9RWpcCk+=Tq%Jg350ru<^F$$X;
zKa_tYVWE6lRIRXawFG-_c$QzwKZ0<X_z*0TYSo{`y%QJjiIREKHPGs(y}354cM;*O
zs-7x+ipT7!^Si@5geW(F^+AdYriFX&|A4p<bHDOVzjb3F4r_+BgUo=VIPT0@QPD=w
z*#lTv6S5yjwYG>#L+UbYWqew(>5FBL6B>)7FK)-$DVjE&q3Y4Ga7MV^KXWd&8oxjy
zx|2g2V&U-mRAq5~+FTtJzi&_H8Gyiuq1RBy-fyB6+C)O3s}-D|ur!w+vqZGqhwQ!e
z8{-?E`jQL{0he$Caj}jjNaz-8imTfZS5sp(?MAervc1gSyQJ4tw{snEppnV%K*!j^
z#XzPE9b#5)4abjpN430)0kn@Xs?rG;mY!AZu*-sd8m<D0$-H>2RysBTNNIt<#DIV*
z5qd3R?Jx%={HK&lu7XTi;!fR3J8L`Y9O?<(Kaok9qvb<B{=p`pAxBPWzhgrUnNG1#
zeYO8bC_t=;8G28B&2q8FI^MPd*D(OkIjG2&f`_sUhop~5+B&9hVBzG~uECkkD{oG_
z71!yOJ$5K~Vtzc8S<?(k{b}~XSj&P`h@|?U71o{z9KQx<!2BX4y6yb9^NU7b8W4U6
zCqU{Tu;uGmX8u$3`E#;R0Add=Tl^TOTKqvxCwnobVC2gev&P!dCGLWMH_GEE?#tU$
zXM4NdymoCNiMi|odxGWQ-%XQhRi;nHv>xA0bMpyw8#q*+uNzTZ&Q#FGX)}mf=~b^P
z9N`$ps^SVCKffapEn_o8LQ;Dxj{b<cBWTqS+iI)CSEz<LaF!JgRypNXQi7?6ddSQ>
zax*(t<r0MC`|C$<%~qevbWaiy)NTCywqD;}N(j;8V|cL0@y|}w@ALU%?Bha}V3J1g
zGe+aEA`lqkMRM^sY#jn(>s04)91ieU0s?N~|K)&$*M-f0;&JdQH%OKqlbS&MrlaEr
zG%I~hvh1AF9BaIT;*3kBp%+W_vd@JMFVDw`3PlLrqzv;ZnqMS|3`B6OG2)6|VG{1k
zXJi@&gN`7&22N!btIuV+^~_;{M{)7-Q)#%H636j$G2E1PstH>x0eSabyS_{R(nP7(
zyYUl+Uf<#*dLK<MR1aI9SaMGIjK6@c1%BECov+-BcveVPBt}R?-wv#f0-P?eptvXv
znFvH&>}*`W+}Jc31|)SAt|<an48=pSPG2?KXUTh6H<OHYyB`RA&pubhB`=?2$D(pb
z0n-j`ZIQ-ps)DwBCc#r!J!Aeq^$h=gOr2cnY_PjNbvsLoh!}-9AVKr~)_s#*pNoPl
zlgx!Z!u~pgaT3KBt~on7iBYM{hg~=t_kn5j5`KbLawkeA5^FR90d~j2G+=ljpY^uu
zUF|#?$r+ui@^?f#yhxnK^|ZBN-D|I#Tc*=;$fmw@=8-(-Xh}}FzZ!QsmM4~{C%j|M
z73_xk`Y3eltZOM)jRmY6FkqCClDc!!z4jF#SqJ&LF(vPtpJO~$)7O3z*kal%MMOjO
z-;(O)chKzp#z-|r&1uO$V&JRcqu_f1&!(aRgb2`%Y@O5-Ah6SH{qksS7;?KU&0ZkL
z9B|2v#5C6Mr^LL5;4BY$va0*J%ji36c4Ze^fc(#jh+v5akof}mO)aFdi9JwA$<C&l
z)_Jw0a`v<Sq6g@wsl^WVS5bjiIk<R=C_CJb6Hos$_FZ4{+>V&NnNhx{Xbh1Fy1I~k
z%euxR*9X4{*a@(AI05eiL_bw4r1umKxHy)in2%;IonS??+D{iVe}l#2K)FLGRFq1N
z&f~5wfEg8l4xOL$8HBooREdl50ctgta%X_(fRuoEH{gE2Zv`dN>cHJNgRcNnx)94`
zt8?x=OB;M^?ZHL2xak*Dxk!0?Rp!+jaJ9k2*e0?sHhG?T$;toG^_8RUaosF(sB=N^
zxRWhYd;fLe8a?nLOA{ydFP`|0+XLr5QRu=p9LezA!_HN3d~vwm`T^Ou)J<U;W=2ND
z2+%4FY88EXi4eGkWCHij^Ha@58UH|ssiXxNkXmc81>a!qRA_-%cns~OXFYw(!q=-<
zq;v-@(gCt!`;bP#jY3^kS{h<K=`t@B!$8?g-%T%FgcpEeZ^mPB;a<s+SWpO-+JHNa
z<yS#0yOxlymR46!4@eNfX)pxo3s^Lm&P}-;Y_ADh^wVQaBIDYr^wECWw{S}%P)LP3
z8xcu+USOZ*7QSnF76@JtuP0p`*as}R3#|lY`O=jkwlbnitle~xLX~M2&&?)CL8>A4
zfoAVuf7b!s*bcs!cb0R7H5}4xz`7Ru70V^N_CaHsYyk>C_HX>$k|D5M^L&h~M{`vw
zbtG5TK5YM*QdH%!d=PGH%Of65Nq>x|%yIQVMXnFhuBg1{uh0=7Yiw)<^@T*uzG+@U
zrVfAc;15q}hP`e&gq<@i@zC_Hzb?!Zv26**)CN!+!IVzmm|5N8;ZZ;|!qK92D4Od)
zH)ffB!`=NYn4tb|b|45*^R4OPF_|PkT>|DPi@xg_5|PYDtjNb;XqqO@_N{u}p!BMz
z=65vO&49_8IrvFw?j7GZ@=z<^AHHT;1ISu&afdBl)w~)alZyvq&M(okorc3>+GkMr
z_l*ubsD!W?7g(e>JQjPBV334C*>w_u0L{@%DVqEWkQadn^O^CV&2)}G0Z)gQmNrN&
zX!whc3JJY^Z|8%iG>eMRSD|5=$xM`y<W2KwPNRV70~f573_C!8bzbLPb$y;E=V-ID
z*04B!kWOgtLqGK%FB}Z<CMKp=;hRADke|WC#01HxcA!7Q5{AHcg59mSo&r0pBxp-c
zOEYE2HXIBJHGIIeL`xth8ttQ>qW9ttlYgfni7N3Z;<zhy9o42*d}$j=Xc5AFj1PJx
zX_;<n>SUR|u-(?cPUzoab3Sqa{+0xf3sDPUpiKmf7mBkr2=n@>avrkM&98VxmX>0j
zD7>-lufuThMbHRi$tPp$noeq$oS7GNYGW#$U#(RtZw=MOG2a68_+la|%EO4@?zXme
zT1weIaY^+|RfK{j{wBj4NCS21VMZ3Kc(22Hg&`R)p=bhElf#jaRFEjT*wd5R{h99~
z+y~z9``U1q@U;lX$WC(mb@7{#DV7Q;5UPgDC%D1Xz*0V~*62yOK8Ilr4iZ4I&5Vt!
zfM3VV9h&H=xe0vA$SJ+sx2yl2fJ_z^1nXG_lCcP>3V}TDZXsB6+=L0(6oCbRJqJ2k
z_{)%=5Ih@sy!|^Fm*h=66>O9rysj7}xBPfDVjM@Gw*6Y>?UrKmlJQmfkf!N!SGFRP
z^fdY1tkzll%|+QHgXH^ph9+1+h5mmP6*2?N_KA<1j|dq37Y?#{$acqtKd6$<WD3hv
zHGVAd!{C}x*=1j$*n(BIGS{qUUCDf85lY&3rDrL@S3z})^r9D&npgc54PgqHVbI$I
z$mg}*>}?2g{skX>-OViv5)Pqf`31V{i7&+5D6+V`{A_HRnS!w@ZHL&q_5uU$DIrvZ
zgsxxm<LX~Za(g}dzg0%Eva+zN0<xs8PTm^#=1tJz1x!ho_=`Fl(w30Uj~`d^IslKx
zA=v*@tt6NPn^7uPk|t0+QW}kB&nsK5GgrSn5~x(z3{ujmXaTJ%*W~sRchpF8?cM>j
zDUi+z)~3&&O(vws^C_-P+@68oE%W(dICM8)C$tV9i|B7VrIkFrx<HL6l5mTi>ax|3
zt-DiTI3sxscb`v5w?>Sq+0Jg_m*TbJJR|RS6j{@&aHh3Mt<16Zy<BiS)|UQ?e9tE6
z$cXRK;&;bytoAp*u#BLF)Ra5vws17<(*i(+gpRLp{=fSVD0Nh>6}d%TU)fVqL9x#E
zM?cS(kaxSXd$xzF_3KdK-}3t(D}U2LMkN@_Kp6?yOD}0rcgQb<l5EFaJ7Eq&K?i?G
zKG1QP6lFqN_g-v5f{X8(0H%{}EhFQWWSB)gM^?A|>XmQSP7IyV6UATFxsn`nYga8O
z+0HG@l;U)wwHV9&H@I1ub~mY!l=$6EDK|C;@dxl#?K{UF@rqaOoz=g{TjRJiTx~<!
z@Fr*_&X_%1Y^UtmQ!kf^N8px~R%Ro+qhoEzq-IFoG)K=S1C6w<G|YqPbU!=zO#*!#
zq<d9pmg?bmTt$c>qcM-(n^chqb}nmH$8-mlZWgJkw6ULoZn61oj^eXXIgB|^Tp_kU
zOc9aY5<}SYE7d1RCs-w5?EKpF)`-Lh4>gssf5%DWlpPA73;*?~tm9P3Bnwe!MEq=l
z(08rT?>+;W>27o+-uixZZ!Q!FrJ@F3H@d@<axS*!Ug&Zb_X09DnXf|Rx+L3*?}e!r
z4v)R$I{Uv5_hawM#a4QcU#Mu}XC-v!O@q3JI)1=~G<5NcY6Zp+B+R|sy4d|+x$Tnm
z{qJ_5tA57QtC9pHbdc)YK++lAWELSy-zd#T8B3H(_w867B=NYnJ+nY7zwI$eRo4_+
zF}+vhdbCQm1kUfXE<qh_XZ}}Apgd<|Y;4R$hrgY1jWvQ<ou5>atD&-@u&R<HbgpiG
ze!k9R-bePTs5$V=coxi72tj?kP16csy~k7(*iN#Wy}Y%12<a$q;e`aK3o$S;dFAut
z(`6J!PP<jpR9ou~ekr$U0=pp;9AH8(9<($v@&<AT3v5l?4=;5cgBboDpohWCyS;w^
z?+T`ChLkT+QBls>qbEJ0w%@xnvnC>s1Y`Ra1{XRZy=T9NRoP|TP#bogp+|+M3o@b$
zzHfBPjH;JK&ILTt$fqI;Lmh&-PqCPkkmo<LGG6KFk~%?k<=X*s?&?=*X2iL-69SW9
z+he{*wlI`<yrYfHfB$sk#iT~s2E6sOO#jS(8}aY$V1({_ID-uPuU7Z|cNQz!u}Ta~
z_jw82sdkp4A0i#qNr|~t9vvOym}R2*C#!$kxbu-fqtGkeYOCicd^%8)#<Mz1uu-mV
z9liQ3()sM)kIpZt3<OS|6Yp;6y|cm&^Zvfp8Q24H1M(UP1aby7c#^<ugoWP~7S5pu
z3uwUt99j@yL<VFbRqKaLF<_EUpYG}D!KCt72)pJ9R+xPNW>2`s#}E+l0J%1wfF>kB
zWeMuHJCG(k_(XS5AH*q;Gd%t_Kmx%Uq)f3wPz^v4wlrLh!Uzx1x|wkQhP~gmnJ0U5
zdEs4$!6rlIHfIC{HMO)xYi?YI<~#Uu932~#Wjc|f84h_V@|f?hfKIIy)yxmjQ4q#x
zwj)AZjg*W6qhy#qqb1~8T6?L=OZ5v*q^)iaRZX+kZGtjBeR=xoHmSn+WIt@LhK3dB
z;Q^#^+;Q<)6D-O%=v>+$CnhrG7-AjkI9G6L{+c9!mq;@ZzdMJ;rRC*ELZP-waEth_
z0D`W{Thsk3X@VikBR;9@B>HYcr;i#F)-~sw|4AC45~=J7vrcAwgiO;*>8a<{ve~$2
z^*(){y`uDH_?p+7mg@52J)o3ZX|~pM|8V5>6_?*vE^MCrt+>!gr6N5RlnCO0__V@t
zy0)H=@Nj@_hkYF4%wf!E!*nB{fFPDxlmYYM?He~%K=X42Py&$L!5>posXII9I-Jj#
zs#<es5?qBq$$#wZ9D%Gk$VUgI*8sHUlau=pJ9_b4@ek0MRzhtD6ec{6vckf`XU{&Y
z_+o4p5c<FqcUWlW{L|Of(bfig<2E)|3-C0+E&aiM3t#9}PR8xy6KMWm?q8}&8B>f-
zx0D*XXS9@Wpb<3U$R~1CMCH%X8(QZM2#g$Zee?5KXUq~79=widtVzHZnV7wW<@1e#
zA?i2T<2|jKC%$>5EkXjM08)`lki=qwlOYgdj)Tf}1-`2;D43nkp7zneq`3=dx5K%j
z3;sd*1h)M1oBaT<;t<HO|6Xzq#c>?NaCUCpK^A3yl54}stP0nje4(RWXSqQ9Y?{xi
zM4imd$Bp%eH@`}Zie7b@P`EP{ehSCvT_vjS#B+e}@VfZZiAu+UN;WM{uP8on@pJRK
zQdAIvBP9j~v0_{c7Y@Qoh__(a{6yb;{&eq$IJp_aqo;Qf7!;4^M_-)m!a`Z$4qKx-
zxB$qRw1#*ScqmY9T?OptKcN=*F;na^LA~-E+-VB8V7v-8bpSHV0BAgf6w<Q8%?c7o
zllp&bwDB_k3UDP@0`&SYz*~^_*Xw?+3DN>~M9(43fA=8K8eY%yH_)+HzAIy34U-o=
zi^^$!UeAQr7@`B3U}^&-!%>tHbNevK^^qWb62QWg^o!n|kCL6v{~jt*CZa(l$B64Z
zX0t)q^X`%yPqn|!^;lK4x?<F(qHo1p?H#>o`nQCe9)ijwc2>hoZrA_rM#T1%1y`5X
zKYglYm|A#VaqtxiLSYD33^5$v)4Do-_cq7Lq3YEa9+Qm=im;svGO?xA&W@;sx$qq*
z6uzN-JLJ{?$PqFFtbELw^0KmBfZ9nA*e|f6tp&4r)D_$fs%qh(bD+E(Rc%m}-*UuS
zcR;$klJM8N;qJeP(kI8%o(S~x;wie~n7EVR{&TmHszyf_EK+WDX7f=b-E_En&-bn-
zzH_(i>h2N7UqsE{yg6VtQKf^&jYp+c&z_}k4w2F>ua>%i9OnA<OM5|~p)$(r{78Sj
zN6Cdy_Q~>)jj~k}rA~ONM97YnA2L$ubQA&EHkWMERdbja5OH!3LDsj|A}YX%ha#B@
zXo&l2LleBbDMqiM+j3czcY~J+c?syV(idrNKD<mnuuDe~5Af&!@xow!RM|z5y#tKP
zxe<<cTilI;#)w0jl5<_Vd&Mp!Q?p+R4duBWTOdXn82COS{@??Zak<9NpA=OhUGpET
zb!iBul$6{Aql5(!<_I>F=8_4cFpVV0^}&-<DDu?J!-JMQB5$Y`ZpR<p+WW}T%;(AK
zk5sLxsi`vzZ)P8cUZ25|4ltz%P+)<e%Px$hm0N3uWYQ|T)+lhA{ee^x=;6Rt5PSNC
zf$0WhGh;bb#3u+*|B*8wlozVZ_)J#D9yO05r2FKwJ>FfhgD?0_9FrJe;WBaN)0^|x
zU3<xKHCQ7y`=`Ss(U%Tn?$J{_oI01XBNwG1YrLt9s0&U!gy_}Jbdu>4zrYd%+ZqUa
zYt)zu+2vEx>Sgt%nkDbO2P#fuX<z!+qMs)Z+jXZSxLF=2ZU^V!V)@NJii`&jC{QF!
zQSq=EV;VpvH+onPG|*Rw0W-LIRlf5zjCn;OG84=V4T%t_8Xy>Q@s?)Z$n>XA;+<>)
z1XACbjYEC^IqLk1<n(mkPairPNzNcT(yD)tE|1Fa8ycU|CgG0cjvHuWBmLqgvA**-
z{fmKfl$N283a&$p$%U^#3$5%HZ%c2}KdmGFP^R{Bs%o`{2{rkXii#vUBLf4xZL+7S
zDa5xlJ@Z&emR@=Ic`=z!DE8~{D-j7s94Xkj!2Pk<c&dYjSdjrgd8cF;LbNX~WJ4Uy
zgCpi<LotUzz4c2Fd@H}|wBjT1BkfldxvGg-(#MK3$F4YMoB3p;m6>dY&lr3JXU#jG
zv~qpH+gggd8x@Ka;shfEE2Ft;8kCDOd<1fQ{v^NM`m^~a=i64t4P{LaE!iI%A;PFn
zUeJ{MbWn<4)7Gy1^f&gy>5%z(j2QcEgN@tT87dFC9qf&1CYK(rU&2E3u@<=;qHHk%
z?N-wvy6-3sGHpF=R{(c`HuPu7V8Guc-I3>-8R3S;yw%R+U2-8;$*uTm%fC|01#z;r
zw?5$M)C9%SnQ$WRX@=ZHTIB3RJc^{Av;kBB(GI$cy03J<1yY+|nPs-qVeq!G$)mFe
z>gV7%YNM{9QG5K&(;xU89z~>CW=pD31m-_%*W$Rth!p%XpICN_^g;2(pHjFeAJ!oU
z4Z^+Of037~qkH?AzwaDq7ZD>5beyOAcAhjU*a`oWVxzSj02?JS=ET2qDa1zaWpkg5
z<O~R;)eyYytzYRl98MZnVe!oBx#+Tw?-uPtdWLgFuP;><ZtP`Vdg^&4iVpSZJzr1P
zRrmU9Y8{`Q?x|2BJ33;)Z(NF|YstMhWO>B0>-glsvk0-DE<;L><W-oJOF$`S(-B;4
zbxirQ^yYKFrcg=;5%U*Bik2<1-&2j^ydX^PkKcFFS(cHo;#8=_N#b>MqU3NkyJN#J
zIVS{wgT{lMr8{@-KyrE=3Ntex_-<84M32!^hkkJ@G}IxsrsiCSSIw`{aF&E&W46KT
zZ)MfJ&(*LR(AHC$Umn;aA4`4gdSVDqN49syl1~wDi*Qjq?Rt0@aq3c36Jk!2V<>5H
zCFQ3KQm0owGIqDzL^w3`XVCMGz=mJuFHhI2Auf;cva(}?gM(93DCaA(oTK&?Bb}X^
z4}^l)3$>ok`N{pJ5xC=<dClx`au@G}a_2BjYisK+XSZ_|o?~OSiQ?bpw$j=iN^BG>
zSRfV77$zEj|9KCKvBxGilY|PT3&NexyiKPJ?M(JxU?V)dZk@X3(k9F_shu`Pvk-TS
z`<&l#R>s-;X!cEm`cT0PQ`3UDqlgaO-+$pXc--RT)u-dx+qt*7V~=@^_jZ4ZG<t4!
zn)%*tp!(I}{mXrv{J6J+cZAJfh$-eOUP1mo`W5&_gEC62S%!9V_F6d7c1^+N&g%tC
zwf9+K33~lsBx+Y|AU+qHm-s53M%wDX6>g!Dj()>D%L!FZ>o;;DwF?Xkyc1rYdD<@K
z5GT_)6;n&3m|etX!OJMurYnNiV5hTfW_rui!$m|U?v^Cm!H$rI%f4_L$Tf4R6*-;P
zw^~*nNf%e)H?d*x-0bS`nR+#DuNR((=L6&Q_V&$rRtGpzm3~gZYRZK}ht^@cg&I{W
zjf&Br^OJshOU+RaFbj>wv65+fXXyHOIsY6H_||@s0P~m>Hb)%FA$hl@I0q0Jj0oi}
z&cT1^58YZKTF$U~UIS23QydZZJQk5krFIn7y?gM95P;avci-$4O}#Sy{l!rhI}y8X
z!S)irN9j5xPYK#W=BAbCpVW~ZT{1f5GzurWc)|4drMHDo8&w07!;d2}5dPyZwWIr{
zb#|?hT(14!dT+XdI|p%SU_<Wd;VWV6L_rZtbl-`GNG;#oqE!}Ti{})?pPk`iKgzvM
zB)}OKLW`5;OyYB$dK*x4!$Zj9#U&|Pc8wa+?>IVcf`lk(Ukbel8r^<7Op(4@uKZT*
z1PQ{>$z%~7Df9id5wE6qG&MqSK=|-wLTNYN-)zNiO3iHj>N<)bF#mS=OrXORht*O>
zsw+i0_BA(XX=#r<KmDCpcMv8nNIGV{x35_5eZ;2)rw07du+D|3m_3kS?>9l#2N;H9
zYIXoQ-lIgTG1W1X{zjL6$RD66F;EK|+XDHH>@H)F#_9#h$JjtFNX)??NV{%ySwe;6
z;CR!&_uLC@_7#}tL5cBEXlUV4?l#GfCK2^c8uUb!Iern3onpB7+#ibZmvmfB^y2>{
zw4!pY=#o>PlUxKhTT+=R?WK{*2k4TQBHgE#!i?RjllEM;O?T|2bV-n7M}Hb<3z4wY
zP7!gH+9D;l+Q=A`<Kp9C3J|ZigdSHyD~~Tx2ibpjSTE+iJ&OY$9ixtIOaIi*-?;mv
z49G|)GZ&q*GVIBAoR;&?OH|T$nUDR(C&uNoGjwvFQ(+<%)JaMDK<|gP5b@EZ9xEyp
z7IkO?gz;2uXPV!0KT=I6VZoX9<(2K5%9^&#ee{(geGku<7Zts)xzSrM(o<T>`FMRM
z`%gaYokfsdpx~f7fK;9XY_7=SA`%K|P8bP)Boshmm!Cf!pq>I45rTj<fKlD=SE0Qc
z{QLcZf4%|g4?a?bzYqE(&z~o0jy-nz#p|D?nDra7nGdmN0`Xlwdt(s(bGQI)F2L>B
zxUOZJpN95P<a=tzufCf0BHVxC3J5GVdJHSeA33TiHdiPLr@>&CPq$g^=#ZefVLC2S
zf-Qlxz0<4Ssp^J&n!k?gjZbr8$52Jv@Ipf;+y2roB`cI#%62)O3<at88XA53^lv{T
z*n#+CiG@jtD3nt2X2T_xYPD38&n$MCNB@oY${#0v+B<lJ=#dP*X5ni#QOEKBc^)k+
zkmw`mbc__oO{WoxkcKLXC$r+ISctrnE+q|@-MIATqgXngn@5o=O!*xu*jy61L}mDn
zFY>8{ZPZh`nb$8`-N$Pp>2}8maB}rnzODYl{EZ0-eS4z&SjC(L-4lcRbq3N7;IA+>
zO`N|W^OTFg66N)(2todh_J#Nks2zW9(-Z>P4Iwp?Fc<B;j15f210Ay5b7QcS+<~1O
z=*B%5ISLZ}&tvGAtel)29^Wj}1pGlT2`BOk1R~z`djM>QEIXXM#Ge9|g18C@)ol{(
z135H)_jtg1W<Jp&KrtU)uoDpx-Maf?DM?dxm`~Y2kngWwa(X0Pf{KbPHz^&t8h1kL
z@C^~FWkWsrQ=_Bw?JNN%F2Y}=7-+cT=#`?y44<Ka^u`5oGB3=Zn}K>t{6Y3B7h~f=
z*3{RR123IQw4E1IM8x7nqDybYc;@gv<i-3T<G#<$j7_BkJtU}AZJUpLp!n~$hrr%>
ziJ?dMy*=5nW6y~G-Dy_x?4>u3Bu7HN1zfUtllt5+-MyHD`V|FHf#R{prB_;sc@<gk
zsK(o<QdtQ>|5V6}IVUUo+N13X#JrD;un1|<vz6zw9phBy@{;-5)@sdHpnkQA1|h!H
zZc%>)hF89RadP$oqbI=?d>as=6bKcSJVcXS@LfhiVavvF7tHVAbLs1esNdMWj797L
zI)+KWp-}gcy#w=U&?{is|GUt45>kW4AphYvq;4s!HIsnEuN{Q;kQE8T#2_JD;dhMw
z6&Mm#6%?kCF>_mnYo<-ZkV$t?nOlZ)Q0}MU&%0H;!?%bY6^T6-CeSe@3YVF+Wt>US
zWJu?0lkpFCXr?z#co@5a@0*iK4B(`_%cqjTAV!8np&C6EEiInXa$Uuo_udN@mAOB>
z^@S;4l#zuyj_a6|NWveTKXQGyMFa?cx8E+k#&Nge!NsSN-#<{V+j0CBlk&;=<|Cw}
zr0lgY!X-aH|7En`Bg&X2M*LYhZ81%;TmvPQP+d+d`*Ko|==(TL;yUUC(#md0l82(w
zRANUiFrjksOTsQucqPRFA;&7qRy_a8Z~M68A{L=^@cJ^)c&d{j<m{&Q%8WNZ+h>lZ
ze{?elXHdpDEN?vm0-4HfjKc;Jp!O56)EeN#dLAncN_v1H4x-P0tPQ_sDF@09JU4f<
z>mlz$C8~RMJTm0xogazx#3UhOp1nQjw@N2VWt>*B&LGuZG*QPzKzC2;KQ-vay`YN6
zbCb^Lr2l^VT~ozK4OcJfCm+W5SSxv@GPsK*{GFI(3U`{pidjwl8<%l*2Yf3-yKR;c
z&l5fdVTb;P8-6gE!PWJ_D;ME35a%0>otJg?Y9p%)y+t*|;?4fXy8L=JKf?g}e6&*D
z!cdHkuh+ujI#|X7dvqfoMPF5HUgjZ`05oa^R(!4Gy^*5AG*vb_JPFJ}hgY&X(yZE=
zi}!YQEL}mWJ#C)@hb)1mfScL3#Vkpfw9fW&9SuV1qDp7nCik7Xvq7|mzC)I9znN{A
znpv!_ORDi!U5DgH5QOWXR_3NdPy)Svarpyt-3PMo?6>r9xpp3l&ggMcBJ=uOV8XHy
z6-x5^v1nu66;bd$kej-b5I^aeWn0@0KEPHq$YY>EI-M5lng#0^i@(7f5qbB^XFysW
z5fKqrp<C|$Tf;2-&1ZZZRJLk{|A(owj*6;#-~NyeJ)}rU3@IQW9STEtH>jk5f~0^T
z2XN?aBve3JKu}T|q(kYF4(XCogm=&LUB9(n{&C?_hBI@{-uJ%m>-t==<<GFNZm>{9
ze5tL4q+(wqgzXv|zRAH26|;!$eQe+-**r>h&bR2T<o1?{75G5O13#ec)byQRPA^Yz
zAOGxJUWEKWX{wZf)+-k@UDlNcb!if@&ya7iLCLsN6|XUa*?Jvz<o?qq(G%NVlQrfx
zFH@F3-VqFfwK88;%-(>>PM);heF4Xnq?ze~@UmL7p8fe*vwL+F&|mfVJbOa<%~};N
zK&L1KOEO}0lYyND1S-r|WqZAmU}C4DMG-ryC<j{X)b&ii{>xyizp8s+kP}wVja%3r
z6<Mb>OI<!S<sQ%W`Xf9A-n&?!xz)+0@o8yk=@rSjS(y=knw_Z@eat`4H2Tk#RmPdn
zSV^_uQ{GJxg_9!sn#NB!u<*RHwOSQb5c>*pR$Y_ua5bXd&>x_}G4Uyw7$bw^BTS<a
zc%LyG84xM3J89uDXr=B$oY239f8&N&Q`I+qUzcf0hVbCYe=eUtke_t`<<67G9XA;I
zKj?95jv5%28Sq@74B>6G70^U+!Injs%yh%<LA;u9$QWY*k3zdj3UZd3I!YP!q3jz1
z`&nNfO{oO$qr%J@nmm@`HUooOCF49B{?at%7W`zy#5!t|&h)KtYax45_5lxcu<f@a
zUP=dECbiI*U}gVpMwk;ZPI&d~4S(;BA72f-3FN5%1lBJh$M$QS&!FGGKedstv@e&i
zv323{uU#1}IaOeS_U_U|F*@G@w;FC&-RIBu7)aG+5?93SDv)T`ba{5;Nv~`NHUadO
z3V8`}B$1X1Ep2!-b*$-lDcTpQc#pv?Qif>Ua>wLDhT&i893@lMb@pxGhH6-O-uQOo
z<m}A2beu823>Ih!<qE#GzeVJ$m+s1<V(8*&CeUtS|90umI|`FJLG!`wfPsF`q+A>=
z7~s@^T-$v{{~^pV2Q!Q4>GALv^uW1VxY}LVt6L$xUMMzj0veG5M-YVv=Hhn%L}eQU
zM*Q0bo!YR=pA2{F%B6&bzZ~Y*s=xB8RqO8F_U(qA{kT32i)kp==FLYST!|@2!$8p9
zZ?*iy{x#nIzK!GQ1g9MI7ESp?`r48EPcIo3buMb-dKins7;_|=b^|7$Q&sz<G=%Vu
z>6rUj#!DhPPt#zHKETH-aKx6ax7gd>Hm~)1zaFGWK>1!(5A}`PaFszDTaH>qft5P)
zm>()WK3i=WzZId{Xu-c<JLcRf&IQjQOTVWj`i~z?OH2FsH9ehescw191K;IDOKX=$
zFOHc|?MtpYcJ~&=S(AD{jBfhhf5b}zUa{U{=$Ks0S~t52`}mW2w_&U}IdZkYiyRyF
zlZc$(?Xm1*VrqA!dD5L41MkCm`${jf4q~X=q0y}DkCk|IC6EBsDvP;Ad=Bqs$A`J=
z5>2w{ilq*cP{0O|B->-2KZ{NtGP0%1c_-Ht^cA-TJ|MWo$cWicN$+>p?6w9j+`TuZ
z1oq9)il0DKd2##t@HS=~U)N5Fx&;0#5SP+Y4-!={S+T(Rd=7#Gn@xey^_MOem1y(j
zi&tZB9GY-o@S?rSlus7L2GYYsLcZ9sZU|r-?2LnhX7W#&1JSlt3D+S!c)wLSCzYXA
z{+D$n%XS~_n)Qac?-3zZ#zS;vzSym`8?XMjPc$a?N!0T83u_Kt0P)6zGh@%}RIXo)
z$8bpGoy^3WhC2ERcsfvRj6s7kFFzUyEYkf|A06qsOkg^)D7c#AfwLs-|M#d&ZhMjZ
z;K(OEU}~{S29Aindq%u8`o&{E5(Sta<1?f6iVb*DC{Unw<P#GjW*}&j*kGt5;-?hu
zqA2-pn8O+xh1^$t%Sx3UMs%ctcQXXm$Nj$P5fnvnD{93c#t<yv&s(2-o(3O*U`m6a
zUn9I^ROeW_pYesBbd2E8VS+BVd3FEPw<=zB;IWN-bdpMm4|}`8SnWsU`db_vkV4?1
zB=$YTB<H})bpvJuVmLqvukD`6g63~LXa@t36L3&?1hl~*ZplOCy3b9n%m@btef{#T
zFdEU$T_13m$=t`kD4q*Y%F%`sGhSb9BP41BJV%h5<oYh*rDcOGxAL;T-g$nK{DO4y
z?)`h3#E#p0RVCz_ECl*S1X`ig!McN1qSR<aw;QbW%yyicu6F*F#pLcCgAV+0ws3;`
zTPClyRIwS{sYzwAMwUKV(Uz11LkJkcpg;!K!yx3oz@qj`ExmvD8zl<r{>soL&0QX>
zn+em=9$<BI!*hTna`?C=##v4@)md@P3?)p<%dos8u5QK5ruRZ;Z!lpgWY7JE1ltHR
zJRVJ9Z55#!D!|TCzv$Y&t&^XO9f-&^;Uz@Qh09ciL?Ch<s1x*x$4hh}rV3PjXLm_%
zFpSC=r=87dz%9#FJR0xto0L;62lL{&EjZ?Yvnw$S0~QMken{MbQT*JkU!{Q730mh1
zseiUqgzHysrtl5EbG~1N!oy{tsp172HHeMnqGBkd5!IMod1=By%PqvjP$l||al7Ai
zW!^h1(yZ6-+S&#(jVkUFf3S`%TlGx`xzoVE!2sJj`P1NxL&JVWK^vr0hpt;Qjolg(
z{~a?n;z&&?7%J1LOT~=KbAz^cVgyFfR)r5F82FbgZ<1WkTImBuJVv&>FJOn9LhG<r
zTB%$iJlp}EP%BSQ&z^tol_s7R#vzD~x2(dlD12YywLj3>TkPI8DHbj!ADWWd<8o2&
z=FSuzejM3!WjF#Ezuf>^6eqQb?k7HYI2gnjY}s3FnGzZ)U7=Re&&V4N)79@I9L2qX
z$E_$CYJo(n^pU^>if=f}%C@q+$-#OcElvF2oJnr|TsbT>)V`*(5}ySZhLCGLJr0c`
zFmv03MwsRJ7whD8sajyqcvAR`ns(x={l2SaA{kSZyLJ+)h+xd`_XI}ctyzlMY(6@O
z5ZUbYq$l0|8Xe_h;-VV%9;@d0!dnfF1-Ah<7Ig7JI4go;+AM{_9=#f_MoeH_Brjk}
zch8UKMCcfP<CX#acZcc;+Em1^9}dE<y|)>JA+e=BIrytq)zXFHsg}|2x6d{}G2Mbj
z<$&lYU_0QGq$$nqD|*P2=-(Nm=$NaaMy-d9gvGyRAo0}vMex?e<K|S+!-Ohoi}iFz
zi?~XIM3LWTXHSG~EgaC8z+eRm{Eq3%iTbu#Zfz^bd|#GGX_g3D^$C-2T{QT_@8Rtb
z)~EN_TRv9Ss={<KGiTtA6SoP)FU;kNUC}7fmWp`UM9LZeXi$I{ro-kgv!Nl0M(D8#
z!NBjA$80LwYV{g%L|Zb(jpBNAnn8JV5N;<G?e-vpF@`4F)xvbb{)K(?(tLHg(En)(
zvOc?*yZH>{XgtQH&B=a!at6IiL|}u-|H6+SSTNd%A|8#9C)+0p4PqA6+hgO@BQ8z^
znoh*U3F2RVZH=hZt&Wro5*oI>aS$6%k2LlY1(LbESL(68!3^jBD=Bhx;6nZV^(Q1p
z0p$$}c0Iggzx`Sxuu$RsbL66dpH|K0G^yR%I?7>KFqQW_+?<dJ&tL}SLwQEyziXB@
z$ZmvUU_zj-Z;!`KENU?EegMSYFqj)!`eXE_UE!+Q3sb(C_Vug~6LBmOx3}#KVWvp4
zxJkD`B`>0JJ`2P662lmpR}Wbez6<X<ETjYmu0-F$FaE>G{LXj%&Fg`~xIfR2IbnxB
z{%gMd(a{{+`-jj=I6_H@okx_I&4KNvYgVw}skoW~=otTLU3PtnYJ+Q7nvGCAoMI3a
z5lXH#3`(t4{3yA5t0*Q~0>*5mAfShQ_VwAni4oVf)35y>&Bo|-(cH&vX3iZBul#y%
zmDT(9Z<ozv9*^fLhef)8D5Q^nnELV1%Pbf2&g;H>>m$&_uf%m9$!yZTNlgMlu?JY3
zVw^bvV#M;JU+9vQWL}Nr(4~32jTIy%oWsqceH>jsz^2B#{$V|ZCgTMI&P3hY!wh<d
zBy6*kWbtLqFDWb;oNPAYH<&*$t1x2=;mlX;@g@du_<{lmjaYr0UzC!qXUa%Fa-+{3
z7|ZPR7*e3mzP=yOgy9JcO#Jb>H+VxF%jSbaQq~+xCD?@$ks@L@dJD0zM(x2WxbW}i
z0#>Ux2(bgknjP<U(DZ)}xb25;IAIwDpfi@TaW}>b-L9EIk!qV=Bq;I2F_dm>l;322
zX6EG=J7Rb`OGybK7Js*9L_BWrz4`C&YlTB-pqk7(H<hmUvex6?jWUd|%d;mF46kSs
z@Hweep$!RaaB-LPVhp!<9~e~_l}6^GZBsvQH`x`cNx)zz7$VixgyT7NiCtW*+n>Uj
zsZ68I6DP-3ucPDw){+=qVLB29D}5Af+2eqc_JC6cys<X|!8S5hXWc_`GLt}|za0%3
zq)RW-N|lB8@B(=mVPhl~Cw@r@HU-K~FabuGbqtSVH{t0p+o)$O1T<o^2j=UMeO|ad
zSW-L`l45Wbp&nWRr75<DDF!?rll#{adu^3{a%_v4UPL*yX}{7BkHjVY@hNI9SlEm`
zKUlI#eL?j7E}fqDO}BX^BZWx8m{6!=iP>_m)226(9i9WMKoy(=sL$=qBTTWE_lR?@
zyTqE^0DypoFa)UQ{sPJaCI?$vVlCNKeCI6U)p7(UP~hC3t+A<`5(827Z}{AZ6SWEj
zyMAFK(Nn+sXdu^b_3DO(*?@;nK&e6NDkRIDpG<+etQ`S~7c+?yWsuB2c{Z<z#fHH?
z!wLg8<s&T{wWx1njp}#!6%7qO`q{<t;3~_zt1O8`Sw+JTOOL-2!x*|vKRuS?Popmx
zFJ(#*bj2z`Q>hXbcTzOUI<~BN{(7m9s3cvB%~XpAUuI1fB#CxA$dy(MMu1bt;_BFb
zjt&^%<ULC5FE?kJhZ?<wKWAZZ6|3F@gmCda1j^@aw?rDUw_+581xvXT`6+u-yS;_)
zuyikr5KZ#bQ7s)J?`_waDT@qL#%$3PlgEpY>(y;B)3cy2?^pETf$sF^=I?_8f#seq
znxptuS#ddHZjA)FO5G+_YIzrv6&8*-lXSgR!A>(1smBmjVDN}87S=tR(1k2d$$yx(
z8$d@@Om1VK-2k6;drzucAR43=q;cxaQloX`<>jTBZqw68mBkXU*qVYqRDmNtQ)l1`
zHcRK!lnH;@XXn}533h-sFDxvqk~oGCtI8AUdo2F^jC8^_m<qcp+B<f<HfDmGA_31W
z=sl!!23LxRXE2H=L2%&GsKC-$So>ArR<ue;iXUSZthpO%A}|E4GAcvUa(2b5?O7L0
zR*n{iVpa{rXS|zN%CZP&X_;4OWr5H1;0=&)76#ma0YvTHhZa03PQA!{Dw~fW*^7y+
zZxW9o&UGj(EUde$>$0!vKnv-}OCt~b&$==CORTf3)mcIsb!a?};ME=#t-hCw#V8zH
zno8L*dFhX?eCQ8NzDICjI#vrB)Z=In5bAx!XE{Nxl{&`?b9n!?o!mscr$81<mVyGt
z97I*Fs!*cFKAoC}bjeu%@l_tn;~OT-rL7I141B-fNhG|f-`)m8aWhbiLSii!gFv03
z6@G@cWJTZq^CNEFYtj;k>?NNO#7Q7k0bEdgMh_QPgPx@mNQ>3;M+##8C1XDc6lA4%
z<Xd9QOC#9z6<;m1z}91&PfER}V<5iq{XLY(7iVqfBHL~@9%|N)>Iv}%MZWA|B|=65
zJce90tRE;0yWVn^jBmY#Wc-k-dWIr2x+0c0QOsy?21xI(gUQmh!EveQs1mUhu*UIM
z-QS8vI|$P?@@wN!QB@Lw)0x@7SVZJEYq<u$*2CEC24KYVwDk5XHt(@u4x(*mAF;bz
zZom_n+hc-yZ~n0+Y{wp3IFMt45SFJ`6Mk%ECG_3|k)+hEG6c1YsP-hrZ`E~?cLW!q
zj$6Gfy(h~pt9b9KzC9BC8EChfmS+<^zFoH(gN2W00P74S=P%aKujCN$P9S0s3C(;x
zxjFsK>nAGbu_?{Q+=4YoB35qZ-p9lbvNbNN_E>!@2TsdX%-h`B+6oqsnaN4xVgrrQ
zEWjC&*nqNt$5Y6h6(1LOfDo9d4S34_nnU?$ndke=EVjEq_((`3xm?0JO*)uXwBp{D
zV{+)3qJzs69Ew(g(-k-D3hpNRu0MJ~Rgd6bvv^-watD{!MNCj>y3w#2ul0qZE^#Nl
zp`*gQd4s7g)$nmi`nIf@mnBZ_OIoZE*&G-h1f(Y_iOIdTu`?uq(;el1!hGX?E9dup
zEKu~L!sqAb!GTD3JdayB-aF&VS6e^dew2xmDGdt+<ww>Oaps`-kRn!L++duT11_2m
zk^Lkex#csTeqfc=QNU7QG?uU~+ruXP$VzQ#zjFT>tx}oMs7|<@H2N$wPpC_PU1bsC
zig}8vI5z9KNA;1AC0;h2BBTg}@NoIwivr=%KYsk!{kC_QQ2uNAnWz--_qvMvQ{fS%
z6WO=j83mxk`r%i5fZ5an03sNO?r^~A=b#r4G-z#VoWGX)eZeCTcYB`<k|JX0@zreh
z&Gtb>o*bF}vgcTu<=mvVWK4PpBEK;guQRHef+K)Ths8x*C0ZVv3>XYqraEYDQM5Iv
z&CthqXlv%@Ms6Q!e&uPJo(Xl%o5k-|GpxY+f!`?Rqn(HZ5elr?snMa~t3nJ3s9SuA
z0?`^%4#FK)im~6UgCyVK`?~}b3<E077tn(R)LzTUn|B}j1B5;}utMAc7*VjOB&-F9
z73^6xTX(<^ygpFRX|_h}P>um1;FsKQH(OIb;ILx}T1j>7b9L2ujpJ3ki#m4H^cJlY
zs7|T`coYGQH2C%7@D$bFcCRGmuRC_C8L4RAAciNsT2D-~@{#eM`&vI$6;93y>g>~7
z<4h%>I>-@zBtDSlsI`+cegxGpmqMG6!iRL0Fg7(|o^E~j*R1`AK9^iSb136MUppZo
z!8xDr;Z!B1h?JqnicxJ-z0|eQ^XC-{=N?8qYwinwCTf9Iwq(1Zd>f=(VAMIFOJ`9!
z-nFq~p2?S@#)8I#o`Al;_Ny&@Fp|tD00}fl-4Ixqn$?L(Nw1C{T!T>L&jpTPNQ?o3
zH9c$rd}PFb$qOv(t62{KC=5gO=Sk5stS&3t1thj35a#^EwK5Bc&@MN?9MhL0N!PF%
zoS%X1`2ZZV?-dVj@s^8w1#gje)2zAsf<xHlQ(1UK_X@BE7afzkrW-&!)GTOcESn@U
z0<05Bx?9CyXo8Ih7GxsnS6|P>#-e03cdbKIq1zi8T|PC6JAcs7ObJJQLMLpy8@7o=
zIq%#tCH<b28Cl8{&l07(SHMPy#pT9}PzxK2?i4YNRA`rHw$s?#ShtE!!tD(Qs@3;d
zod)FChtmuE@7g5xo1n9K=-(tnjRFiMki7zWK$x^nz;d`AeRm~%a-d>4dA9qR(Ey)B
zyzM|eKDy;nHE}hKncyfC+a8>tzvO)xkJ@$Ky-%(st}innSSzss!@W1;RW9~YGY~D?
zi0;N+#zm$)^;3C7C!**Rt%C|g$Z_Q+#&aLxuRb)dVSuJ%KYw5jF4#HZiV+u-p?_gh
z6Ym2j-svUhBp=UvIHtPosKyP>#I~&4cpkdej^LC;SG$4RS@jX~Y_7S8nQqut(7z=g
zqT<=|pPi!diUUGOuk(Fl&>aWE%AM_PeJVT96kKxkadkZaYPn;~AUfo(|57|&GytwZ
z4+3_dKEeqE@Cb0jJI{E6b~@<7{0AR8&jQf#EYMDwer7az0_H+Lt3CpyAjn?*YYEgk
z2FNeG+u&XL4N5a2j4%eg4De1vK*Gr6w^NCMaATBTf4)sPRfAldBcNf!2?Y2?kP9M`
zIoJ#=?0^6dEi2zYN?=z{9rzPDYP~LX5J0`%@dhD4&eFNK_!y7|wuk?D{o7wK`<od9
z`MHcXJb3o<Fs<Sl5DYi2n#i^e97qpqzgoD~y(uoQNunfFk{;SgyYE0kaO-rHuT4><
zEl?IFo*ZNFlSF>J)?@tRHXZpiu{w44Y;)mh*N}BNq=gl~E65VaEI0N&oioO;agBgY
z(*%Fi-tvB7Qzf7ERG<Vrx-yq5BUf03i}dp2g|pn{<(Qnun379|)B!M~e_hXbibh~S
zgGx$D7+*0^?SU)w0%j>=ki0ZD3_^e=S5KEfGwR)2VXV&z?-!mhw&1ElP|Nt=0wJi1
zMY=)jwx#xsiMZ%!a9J`_F=XkAm*<)+``3;`c7UZJFWqiKN95KvDooN!$kmN!96|~%
zO7S6yF@FBf*B@Gx`XavzyNLJj_vF3Wimeh_cUOjM3F2X)5eY|59}*EHYO4A~EY(zI
zxxD+|X@K;vb19oknq<@Lhlv9}1g7@^?f$Jx`n)utu{rWd%B3kzUY<X#-p=&1wK9gt
z0F*+Qxah^jMc{wM*s8%p0!A^wLJuA%`GCu(Kv@J7*xCJS4PU?ZuT?#-U3f9;%*MvH
z;&F9&`&uw_@F5ts|NHk3BOn1kLeymr7;7+0`(hOz2)sKOZX3YW`+{76s_7l@FThQL
z(IkyIRfGM-1B`L>Tc$9wN&xz|;7Ib_tKR^|Vo;H`?94a$d3yc^hR_V3%FlJnUoeB=
z<*2)TRde7eV5T0THUHv}z}t@jn_Go@QzQUKUj1C?gGR$S!$I$~sIN|tjm)^e_cWac
zrV9>iBS}02pkWmL@9!h>nXmWmk~?T^^O58@n3S9S-fgZ@uu}Z23hGpK+IuWKq-9f7
zR>FE-qGX1Dh+LZ24L9d|B!UT0Dllvq%eI1%fnk%+_)%Qei$3Lr7AL?v>z^_2Xk90m
z;cX<Y&Mc-bn7`$$34z7BEq42hI1Tan{;Pez=t_`WK8jh*FD*MSKn@Zh%%I~jS=*RQ
zsw@lNRtpNSKRvd!{b0h&!$vPveUzwEDS!9wn7VpQrHV`T>~$?D8uIuax2mEG97&Lx
zxDlUy(8|I&Qd3Nc_=rXO3Tm9Tz)EIpH~MKNcUkB?U5V}5Rq%a14n^adw&$m@-{)ll
za1~he(CCh(QL|xjn|aeGeCMrz{sDBvG+k+2c$V}ecP`?S$9sxq_`O0=pffp<=SQi9
zynN48z_1um_We*ItQSm~u@>(<y6Ed9JWfzq#q1UaFP+~4{E_!hue283I79<TVoHPf
zEw_B<L6F71Hb%U>;Ik5A!h0I^=+fFh0;4+uWEOq5TNwTYU`CLIpfJOU8}|>eAf41T
z%t~!@`!6_i_<=R2z$YJ*Dh2Wl1iOYodJ)KFlf3^{1z8U6I)KeIedN{v^h(#??gn7N
zu77J^d%pkfg6e_NS}yHiK0B4&_Pled-$49YfpJappDmZQpDnstiuEn)$ucdUR&}ZF
zF8V0zCR5*;MLJ%)Fso9a0!vD8S5oo+y}Dy_Sfp3uP>y;ks!rEeZ+Xa}pCACT-KeX$
zs9mC*=2n_~fiwq~i#EiLLeF&sNsH^pNgj)RYCbuTDF#&(7jq}|@;+=lPaHMMni>1V
zOJT-DbT>jdwU81fATCaOnV^k>6&^Kx{U$c=lUW(a_iMom1a<7o<#Ryg{P(GH@dA<t
z_k?Mfps0{gaG03)FT2-`U#I!m=F3w^+IjnVQq+`n+XE>H7N}$A{<SRGkg=g{O*wd}
zR(iE+q0z;LkS&q=9cwA%0RI!mWDa%(pj39?o}jf+m5omdBYzA-U{e+J85qfE=9I{y
zn6Y4}<;YwG)&$@f1D`yQZvxFSa0O&1KAeX0k!aauh!h(D*lN@K>@2;(%M8Bs7M#~)
z@0%m0bZ7cb2j6Ag2e&-z0C0wfd5f>0M^|f)IIeE8cmk9Gj;ywJ+=J!rQfQg-UAn>T
zB}^Rw7-D3;S3p**2X_N9pBG+Unv%ak;YkX^@WQlo$1rD8*g-;^|0>w<q=oKirQNbO
zx&~p_*nz-%aL(+(52(!h0cT%>!UA~4oJ7=$^-mlB*pg9V8{Bq-M8UZ7vgp=t1LAbS
z0!LP~aLnXW+YuWE7I?_F$Q0*PyIzI9o7uJoIEVrk_S~b^^q<9OIxqH_#xpk-1g}~s
zZ>BS2k$5r-9&xZihycF;g{E6EJ7txG7`s7EIx{Ye@@qO*WIHX`g<rXJwojqp^)+VP
zA$8*Y#}<>oH48}xi>-^V7u6;J>qWNnY$Ed2!Ry;up1&H8hy1QCHbCgv3HRGApm+BL
z-vLW2C;(QX?=_!)yUS$Jf;+$%6!6ZgWV{5y$}d5faY-5j)6;7bZLDXAyTRRt^%;~k
zo00tU4;QST63=Ji$4P5EyR~hSYM1L<Q>u&}(zS$czD!r_a%JhgXGJrKCe=9S{>?q3
zQfb~P5h;x&N#1$T4r>hw_lc-eA&67AOHs6diX*m|SO7Xb-!q-WJ%T9PZNNLixsGRv
zqI_~2V2b3J|1Eu<obLM`;Ox_>W9)hOactxdFk!s}i#K>G?*Y^&26u}Ipa2*24gyqJ
z{Y%W9%o%gO?>Fu=ehtR5v#`f4oEW(q3tI}<F5oa38JWNK2N$}3aBy(+sZIce1wZgm
z^Mviwvgezn3J>77g}EL?Vqfj|zPsh>>Mw?@KHFzH=9Rq9$^6(Jfg0KT-8b6#$Ln8;
z(2MM*l|<w~csx>oSRT#-;ZBhb$4ZuIW}x6oJ$e2eL+<ScLT-x2@O*4a;eydmS~LYQ
z;XL)!_m%3q<#b*BY*dVT9#2<tYb%pPqtW6lwz=zERD}6@o7HVH@>Q!bX$CANYnLZ&
zGEZ>80{VWfmqmi+PwU@?8epkkn7gq+zZ*8I83KkW{ny>!zw1B%D**zw{$MIH%nG;V
z&E$*y@BVgOIZ;QZm)AAV!|tF+vUE+>1QjkS6#K_$$G4m3+`mxp-jubf8EVV9@84T#
zUzZ%f3=y#r@krtUUVLlBntUA{o<8>DbP8tCVn<#oI|5eQOp~{+GCSmGO6h#UvgpXS
zt~N#t_o8tjd;$)-)qu^gvXI*1B|Q(6u1tq+$;?FiY-H}v(=j}aG*|IC@G{QNk8Gce
zu;9YYDI(v?8>MFw0<i@qhZiGu!34^Ik{QE8$9i8{x?MBt@)r=)WvC^<hr0Lnkilvp
zQB2cgVR+BmmExN<IShQJzh=k(3Z1k<LGJa$u&`&z0#TR;x0(LJZiMXN@b~Mo^GO<4
z*Gnni_kTCzZb%$pg#q1(o8{RT!%vPj51zD&Gvg-W-Z84#Y`7018u#{GCKV%8;O}D*
z=^3k2(F830b=H34EN11tUSWLB_c}7DQdEs+;OdDtSC~lZv)IsUpDb#oGhac}mK=rf
zA8!RLf<TIJXUi@qt6PXkiPb4Tdc$C@0z;|?X>CC&NTE&cVcO5UQG%fWzlI9Zy#dQ$
zePwlGN~v7)+xEJ__snzHW6iGA(~#+U|4Zc9A8xY0F~mosO9gt(`Atp#08a;lJOSx4
zk7>IAjwaxD-fbDc_9lZKT)J{3U9^z}2#^F}+rO4=8799mwj{S56KD$b=g^h^P`&f4
z)RDQwQXrl+t=ky2WtLh#kS2j@GhL&jB&?4ErdO{;uoO&*OIoG;AvnZ||3#)lX}cly
zCU-`!ta?!N%SGKC7Bp3^PVY9^iR*yl;M4apu=ibtmXqD=#gI{Hjq|-X^;Yznylt;r
z3C!u(Q|$~($5rXx>6ukbh9J=KI$XkT>JJ{bbgmpOEm`&I)pe#{xghUiBdHAsDjhRE
zkLR6%oMK<li)HBc1!`4{@C=hT1UzCGh%RW&E_DxHKm>oC<)u>Qzg%_i*R8~Yrooi}
z`(Zyc#;DglxEwiZ7rNgD^b4-8uAp)*HrSH&xFq$_FLpvKLKR5oYcg(CPK2icVLAz@
zLRb^Rt!P)u2t_p2krW{Lp*E&I(2QC!CcZ!}Gq@?F@~Ux7Ppi1dz!D~Sm(lDyt=g7e
z&aW;?CwYsqx{q5zdzB^K-lWFLTi7-R(1x(N5?v4(ud{aH=nA&a+YRy9sQA}s$3tdp
z3Oak<jmNt;hI~ac`KSm3{@!}$AUuPK5k6{uBJL|2$eME|P3ftaAx9~$uaElk_2nzG
zcW0$DduP?H(8G)BKC(U6H^~oLfC&#cN<M*eG3LR*2ueYvD=H$QsazBYb+CWm{~Vjk
z6>sXYHo13J^o?D-^^6OwS}KWOK%(N0AG(UVmy4umV3{p8=&RKb*2Eze-l6*t?aZw^
z?0Rr?#1t!zH>|`2SE<tIdrEw)LXrZy{=vl-lqLu*2J5v$6-7SQ=y+KhcdcT_>>Ndq
zMoRe#0!R{N$2)N^|3Z?u<R}dfjHaP<(+y|-xDm7|BTkqFx(<CBL1`keLKciv{ZB>@
z1S<mt7IuMnItskEJQ_b*DXOdY@01snY+)925GmxpA+>PPXWZ-#jt1A5=ieVE;76_^
z>=WoZydq<Ci1K4?_E-Y!87U1x*kd5c1$KXEibY%Gzek_$;0Yi_f>Q=toV0uV??3<!
z!o`g7MdW{Iad=t+-IAc)bbRB?s<01RUYWS}rh%j|7*!^MzGRG22m&}C4m+<pA{4CG
z`f9wk|3u+w^hwjCHR#!^aM*~%5%TN3RN!O@5vGmoR?Lok>%3O*p~_=`3F0+Ph)4E+
z*!qr;gTdL*5e21Hjv17@VlA;;GO~jHEa)&<c$)+#T1U-$Z_aV{#kapvbS0F_f=Y7@
z51CR+#y@Kx%}LCj?)j~*slL89)#LXo;_O3lnEY0Tc9z%s-lT*5>i~I(u^S7fnrKhM
zfA|wrA}v?jEo%8An0!qL)T3_rPvGf-n2lUxw3GH`@eH#$U4S;T%uRvit$0%=B+!`h
z!*c+ZTC4DuO|x3I0}g;)@;^PSnV}K03W`c$RrgbUBS%t#at)HDY-mprh=U`G6udXh
zlZ+Y&Q&=3m!^7C)8Lfgs5bbcAn-;2xo|d4JrnEZ{X=aB0o)Q0DSsDN4JPX+L(`G*A
zkB6u@KD9DX8gDH}0Z|Q5ZXx`=5!RKoEDF<kb>(04zEFewrYK$9HwDw6by`Rd0=qqi
zK+wYjVPVhnLQEF23oxo-oY$bzpX@w1!AuhL9mj#t)OgPScn}P7cEIcmXk>iF6CwYj
zq<27TN{?|z05I-b01H)q{B2W6K5Qbz_#px8!9}n3)fsf{-9m{;^#VERWUzunD)K-C
zAnIGV?T!5MmyhCJsaP`U`f(9Tk!oN_aw-XWGfj#PoF@ARvCb_{hUU_}c6cdjAB@;y
z3f$D9e9g>%|Ff)Q=d;(>fclMpty`w-U6m-mS<Kz?xrj6_zQ^CHgS2E7!X_X{bAt&N
zpA@yQN**ZPeXE0qA$zcWGiJEddpW;n@^VUp#(MLIr(X;Cow)Ib``g=6y~k?n9|-?>
zo*umV*RU{;b+yQH+)WBjVujf+=wQIA`PBaZK5T)mHyTQiZR&nio?S`wgE|JS7t`cX
zlpO*EiA%SD(h^`nc(rHR0B@?mkzXj4$CvTm4hOIOOTk13tKBlsHf(PzHs_c_TgLIz
zq9#+Xxc+BD^<frKV|;pN@r8i}tRx-;g3sawaJB$$-<Q&O`s=SCwNlqW0@GY@qBkdc
zuK%-|ehYdyR#32_#CON^r&H6(1VAh-cd-a+dH}>B&|Pov*Dt;%8g_PcH2vc6161Nq
ze!RpazCx#;-(6fR-3P;<W=V0M>Qioa40ReD?!H+c-g|eU!Jl?~L(FCFJpb-1M;_x!
zkX8qxO(O+gfFmBp%s}~w94P8Br2_;|HZLO+c^@_V1DR~r@p!56^`3VN{q4I{gg`BR
z2G)a*72=lmzXtz=LFZw>Wat50;(!Fd2Aq(XD!3fvwg?ZZ<yQfo+k;oSaLj9oJe?RQ
z@8sk;^qKSeIm)j<|0qC8LuB1uL%`^J-*GB;WED8Fyncej#~pwOfzySaj?S!_kbp(h
zW#<MAtFE-P*n<CN2~A)R%}2f_!~RoRN*)>^xlj!OY}D45Fp>Wg6Cj?<x!13`cZC!n
z+MMrj81tlnCiz2?`7=5P?1L-MhJg@V)Tl5zenmWAFQP{{^_CJPQ7J3A)~dAf5ht*2
zuz5U*g(NzI79vT*HnT8qIqdtw!oK*>2Znc`^VTZ0<a)0II?ha&BzLui|Nd(cua<8y
zIoJ_7zcff8MAdogahOdH@1z%KTgd1fVkuLgb%1LdXuW9K^`H(Km~4>mkBbzw{GC+U
zaKhv&rxteJA#s}Yzz=Y07#22h4_+ok9HdGtp4%StscuCabZ9{Rz5)`d3cM6=KKBy4
z=k-9dF@h6(^H<_HU$57Vp+INS|9Ooxjmv<ZN9Y3<6%HA3c#Z@g&gFXM^LbzcN5=!V
zxdD$MPYP%Sap!}kPCW=Vx3`PHP~ZS%^c8Tofc+cLbR11509RyK99oISjA}5FT~24I
z-F_hcH|I|S9@5^pS35SnwpDp~uLUP2C)0*EupXOPPVWO5DiE_``rC=>{EmQj;_S@G
z#Kc5PyO@Q^?_MceeB$=aQBWS|Vd4kO$q+cMtRUzb7!WQ2yLDfx5L9CT=Ss->ut19=
zNf06iA%}nYp1@>vlR-e7T0ZFoCp|*o4l_C<GxOhuyEM~H6j!8m#`<^gwGOz@?&JMw
z3}NnSzT;MmW%fKDJ5f~%I@7r#ne|k#))SK%gImh4^TvJr$AmRouz65iG*LNM%~W=5
zxY{4*(J;N}?D4s+=d*vlsd#-3K6Q+Of)VK46zkJLHTHlbx&wixpGVy9yy!M8s-03w
zN@7<qFi{M#kb~(Zcy_D^`AkT0^T)J(FbVGiLkIyIa9Fs>j0W6DjnRRS4sd>|wZEKd
zuob$sdWO&7E6@cF+o0PYv!?W5vv+^_zO-~>xi{a7aGV!-Y22q=g%Ap!X;$*ReIQx(
zMZyXqlY&r%xs}HOH;MHwaw`H%9W*#r?vlqS0rirrWjo!{kzb<nCv_FeF1H=dxbx{F
zPiXomFffb@24*Qh64`*E&|}8<kAPR;>go!x9h@>=fH1~@E&X>5pjB$${}f=ltAXbn
zLlK^S0==_r33vrO2DQy6WthKGfAoi<QQv%z*&*Y!6BrVJWfbEs#*ij}cv1y90wSfs
z7)RTGnG$4#ZjP}F60g((B{Jp^1?p+wZE)!bCE4`+6AS_ZfVq)FH2>W<>cVdW)z3lC
z8mzw+AbJVN#y#~0qI0>PLK7b^K+fjv-+b@*n>U`dT=ZgLDHAK|f(n}>mNxVU0|`lN
z@)rNy@mnx~p>5KiGJ4t~Md}&RjCm*S<MOl@5mQ#0Z*LkWDHT0V@G}3C_v4ojQIZD7
zan4cjgOgoW>`2^t+Sf46a9TSaIIs?Ggl_oS{T+1ZoK=>D!BkHlL#VyE-X6j4O8g9@
znEMx#h6SDhsULx$!wq7{uKm(c;U_-T?W&i*lpg>+F6|0vbg+#gxE`m1C4m9Nrm-f#
zH?jmpxjBI;qv*Zk%m*hSfEx(X%X>DJWT9Sy1*43{xt(w$v&mP}Wj0*cR-Fdod>94m
zts5+0aD&=UcJo0WtPbn0D&QkiZutA<WYY1Eay<^hZBON$OaY_6^>zDeMeltNrI{A|
z<@8-H=j`8R6t1g>M3ao}X5jq#A>q*HTosrf{^x*b1Kl=^1^BPbMlc=`X><HA@Q)Y+
zkfn+Q89|p1SmyO3L^As#|El>hUqFTJR`tVR0S1<<Ah5b0gSOq)<|cPqKZvUbM@gXB
zB%`PyyYb+`g@Zad;($L9X%)>F=SYbE+okfz`Bh3+dSXOT3EDf>EVY{)Rs3m$&X^A6
z^sP;Vj9%!tcC=d?#MTB0zF^q6`x>M=H61+>sih13F+ac8GS-}Q(;EtO_hxAG3HYf>
zfSn%2c)t1e7~{eNnIV|tEOZSj51`vsg>P<e{~dU8zk?QJzV(9?Y?+e-7toN!M8Q7<
zeF~tmehRIE(iQ|a%r+mTRAhk|hGsc&0fB>e*B6*f22Pm&ruw6dUmK+2iMW4W?X}Xr
z8yGGRglrg86A>t;qj2VMo1ingaXd$1wH0#m=Q+E1Tu<4E0=L`4{fcSTgx&~^b|jxW
zKkClxWlvHal0Z55RhpMKeTA9@YCaSfJ6>8H4T&woB9PY0S%FEhUfUBO&VieXknzLY
zx!x|`&KCBhUd-rEKMTVMiH(lF1l_aymyj0@Hg+s6P{NZMS&(fLx<qp4Dc)d1lJnM0
z3F`d)Ud*k}nh}i^4})6~uq9Nuvsj@6i8`nJtTzAv?TdqMrAf3>UhE1pT39nmDUb4X
z9{AH?-=plNe8NBBYfop!`QqS!MAldWoGaigY60cjf2#wi46n*}0F49U&Ig+gz(p^9
z=nX;T>|cNOF06F3+*mqz=P_jY<Q>bC&<`rR6zrx)6tfXYKE<P}abLLqRD7oT_kD+N
zhRPubyKK~7C8)rGqV^)5`F13YL#DW95WY&x2jA@4-C4=lHQ~~-><=mttlyk_ruPQs
zPM+<DsmC}(=Gv-_bsft?i1d4D-b3+Y(r5J>SsQOM%%-z6)Gojb0Tbm0L!ABHo!|Cd
z0Ag)mWj_g>k9O}c@Hb8_>pJ_VXtD@cTvWO94b5owHj38@9$lWj`;)eGT+C=>66`U{
zoiTsDFo8wGkTsic)?f@mv#mJkwbGRfb~PQYkI%Acl|2|B@*KB1RHJ!-y7DETjjin}
zMk(_A-^6pTeJoG|?1(|fVpxlqF1I&dp?j&=r+@t|m;JyoZxCpl{FTUtn1zAhvsfJ2
zE{gKzPp5m2E#L%<k9_WX$TKMft9PO;B8zTUS!>_V?>=7rWKTBbf4@a5<;YV~6HYK^
zK=p-q8zRZykr=n&Osi!2ITDlh0X;Z{bG<%%fho4a$ZlVaq&5ErYIPs5(E?e<?eo?f
z_kmf`LVKfMK8zHjqz2Q(BhWPmbag64(3}IS@Gs0n5A-XQQcfDa7M+)Koxz4Al)|ZW
zYTn3G*`Uno<k(Y~@s_YoE8%Pu5H>lss+NzwfqsOiRzDVu0?uEZY1%6g?ZP)JV)uEv
zX?p4KluK;0q{btif?^9PXHXbg_TH%U73dJ3j}_jp1{Ha8b2DH|gK%IN#?0Ar5OR0!
z{9-s;>MRYqNZY=BTvOY$tN-rLSWL@AfgZI(a?JMWcJoghT~W(RbBHGKoR}=xOP(_z
z-E)TgCTo(g5O=n!?;q<YKM433pCl>q+jW)x)X-#&FMZkZkSy8_f*!o{{UUgsWYFwb
zI16kWI=?t(Pu?b<)_}PSU%-Pat@NNcOeh&<R3Sq47mTSeVZ**_Y$2#6fa}EsK!_dW
zM&{08AHMhp&B_q2O+-LH)0s^dLyUsZA8t@vPFp2TkJb1D=k|2$DptuNRgVm?^HXou
zs-xM0pM43^^GLNjIX%T@psk1-G3e1Gq>YzFey@(L6uURKuuzfu{W%_RSz?x8;5EJm
z0o*VB{pV_S!Mosm`_K2Vt3|S__fnh?TWV@*GX(bP3P=Ni%M)b0C#Tm3+V&2@{tIzW
zb@KI!LD-9z$8V-o4UXH=!sjjB>lsY;40fM4nRx$3MGMlPiLDgi^Ak^X`2|p+u|ESd
z>}3UbPJfXx(axDXI6&pJN`zh1Ry#d-I!PFas{&Gdwtt{<zV9woisVSy5H#g-oiTAk
zc4bDTliP9#7_3V?MU6U2u{yx(4oEce``nS&#+^!pyL3w|hP(GOQ=dsEHnDg&5!SKv
zPB1RXHaR-lG<Jo`?UpJK9*Vx`e)9Nnphq(qsfM@>EEV_GS<-AK<HLIMhxN78QQ(k$
z7?tUL1@de(n%}rcdGn^UF4&20RGUF%<4!<7vd=KI<__E{sbwP6D2qDRoYBp!mtGpK
z-04V3C0f!JkGk60+Lo3_WiOjJ!Ce^=g4e&up@^l3#ZIeElB5-8jiAeUosSE%rFi)*
zM^hUS{UKb9dnIS7&48!65|;@Eq*5G7#YTP>lljR`8L28r!jRyGShScaBzPtIR$n)H
z8;SlE>H`xXW&`U4VTifJS&sw|C^hc?)se_&$zf4tcT{z#jqB9CN{vyd=M#DpUA~=>
z*Dot@hmeGf08Ja4`~5jSA{VK8mdBEPi?8X{FD6c2!o1vHN$}gew;w{qmw&*_^ytFB
zIpIt?POxD6B~J<u6`?ugU!9$6p~`;Xo%CN&&LFMSMPGO_4320`;3Ne`B2dB2XSAOH
zSOY+fOhIv9HgMMOKHAB=wcFXBclN*wFnsiiJ&8hd=BzUcNQj9W6~iaBAN^*d(m^6w
zRqQDP5n3C19{gHQ^rsop3+TP~y5Nx#j4&WZabvsdoB^$aZof-cW?ij{ti@pKoxY}y
zvwwgF$Q8+vB}hO4L%eU=b7fe5u1U(4-{`s&3@tq&7^s;Bv|^YFEX@2f5ohWud53_(
zjW$1el!L2lyrAejgCbU{=uH*opzzY!WZSZj?;Ka+R~^ahX??I@vbi6*ese^L1@O^%
z>o-g6LkhZkmOMc%PjTfyw=HDl?mJStF>^u_E(Gdj;$^#xBU0qhrSkbg^I)^;euGQt
zxa8IAAM43?jge$lQI)b;NE=Z3jE?4=_Ww)*@9x~caF2kU0b-a6xA*U}fytkyX$si2
zMfO%Mg`;%%-0YN78*^2>Cug6yKNzV0qF#Fowb5o~Wigax+jFeRBvXbWP*idCg%NqG
z+-JM9g^rm4gA*>bmXp<j3(nO7W>><pFbRruQTj*X)v_u%Iy&mRd(NAlF9DW!CR&L*
z+adNF*=dv>rP!r)COy?iAZr#eWjc90bNFMH81>=#`Gh-tG&vOKU%T4d+Yi&UzeeRi
z=BDL6eEHFm(GAjH?~#XE{l~e;l*I3L(`u4j=L<QCEPlWg@m@6q0f2yM{mxqg$+PU4
zg9W3G-ELrIp|!#AHTDd0RXSy6^M@;2a`B?`BMf(KlQTDmicl3?eKF=17U25UMf2al
zQg2QLjVY#|45Z5F$)pV0KbM1+$hzI$yO-Er{M>2k@8T_0B;Cl?Qch{C-vE+o5UnE~
zJGye(*|e~}v61!#&*l3$%n|N{{<)HX1C!;poMzC{P1ei>mxQy?_|t`mqv@OLxV~QB
zP!@EQLjL!9Dl@ya`|D9r%c-a-O}KtVY)b!{CgW>&Kdb1ky9?68+mNTE3L%U&|BJ9d
zWh)#Bqn_G;SBz^Z)pN%utIS=JY&+pU)OCrn|I95n@_P#rhlm`>Vf-~{e@tWWCL*sf
z=2ylr2iyzRE?_`#X%vWvEam<7NR*C*iud}$O3PIR(G8b%2+kx{m=iIgjx<g-mjh2)
z7+2(n<T0D46I!-85W*tVigpsc&}jAXQN1pq@1RYxUxb}0t<7td*Rn&4lBtH>G4Hkp
zIf!7my_qAY@}{qGr_eG7neJMOx)a}MZK72*d+w|^VZlDFqPwHsiuzH%VrZ*)!59RS
zTT3?Z+NnX#*689a#XAIPp%{_kx|FagC9NBjg3(DnI3%l7km589tc8qd1dO@j{sIRc
zoJI8SynmyR+Ghc>N!m!4q>g<Cqte0}(r7o)%<+TYvaA`;eO!<{Wn7Q-x{KDU+|B$R
z8|(gzTab1lYs{UaPnEwM#}RK&Bbzk{weo=lefOlWym-b8PX-BSEh1o%mC62>q`pCy
z+a<V7TgC;EW6MT~jLOw0r@FKm7UgmYdO5%H4ljL4;jz1LlLP+r7mYy<Xw8Q$NM!vI
zT#Sr!_{egv^jr6{Q-NeD<wuVe=7apl-JWLu8VIf(v)T=mx}RD6SLAlrhWYM`%#mti
z8y+zQHH5YPRUubjS^l;p3Qpu-&HgN$t<IDEQ}M_qB%Dlk_lJm)mLj&;8}c*s!j2V}
z_j^<hbG`zxe)xLXE#>FuohJ#Cs2D|?@;nI?yxYy?On}->U5DWEXB)`(5%`TR;GCG!
zeYQq|c2Qi<>a~3~JHeZE>&vGX5)qTUSwF27u2+LVX<$A&s8uh2P&d@*g4Vm2@G0U`
zguo{*Xg!hY3oLrFi+^JKWL9RtPqz^raPPn0HUy!DqzGr@vtSEMl$FOW)GIa@XnHfe
z!Pmd#>MW^oOq~|q{GFrYBiC(^Rb`l>S;K)D65MxlWJM7t=&%K8vGNsC3q|m5rEJWu
zRGR_3u)b~$ZZ-O<T$evBPC8)G#B-(|TC7?;;(e2HFY(pHKW(Ol1i}|6_>e@`c}9>g
zSXC|^nG}EY=GhF~%pw?U&Cn!mv4JGB_l(U~YG@bE2v`!Qij!Svl^WZV5McQ)aJ-*(
z%hKnq_t!Ar=QGLdze_?xa_30%^&Bgtr03~Urfznv*)xeFU-r*rGV-UWiMa<rL-h#M
z=$EJScvB!@+jl7QUWJr~HieRGDE1A#*GEeL;XFC%&DNo_2N0@)U0<kF^OIf{xeZ~#
zY#4?GR1sC|GQ+bw)*6wyt)Z0XV9bIU9|72|_oPIq#}(-K;Ix9D+dy{z`to?oDZmD7
z@`a<m2bO2qK6dCAv_ueYps-$seFB>{1NfRV*^LLmMP)`(*;<$RcBWvvtgStBde_oW
zzCT-Ap;s(@P8IQ>8LL$w8hoN4tnZ|_X<VS|;RC4-WQ6>A$&-48L%~`bhqDGBf`6KY
zpc3=tX<ncKYRA1Lp&zs>l4+qZZbA0+L{Qec*Ed#%Y(uDUKu1@~BL}%qw46!3dd0~a
z92KX01&(_QEiH+I;I0_TC&L}Zu*~Klh3SlC_4^SY3LKx(=qD?vafcwBVnTDD)sS!;
zbjRJ^FYq^J%a;zgJTJMia2V_TY=@c}{T=A&fFWohzhchdndt-&LF1#oCcA@B`G*zn
zq#;S3qIeB#eCtHExZ7Zq0y58=&8p2&J*};>5CmDAy+!1z%{()uT?soSyE+)S%owIX
z%6TQuGN`C^isi)2ab)S&gDOAZE0D>K3J*r!3Qf!C-F!@|1pc>Z=Fe7wJgy8tvF~ur
z72$}0;kF{2-oMJm0k=f<+X}bj+Yl`+JXlt(*fC><p|F$PF~P*|t&&;<E(%^8Ucpt{
zT5vbVSiee)90hpbg*sfga)?kCR8Q4M60uzqGqaM(?e0gCqi;_-L=^*JvY&gN?s3Z$
zJMNEz{!;Z&#od4tl4i=ahveETCJN$DsmDG=>@anJX%!{Pz_Z11jJVMqGA}+47zNAH
zGf{e6IcY1Gi~`3D`o9wD+;>44`0@}}?A9&;G64po_@eV*J6eUCq@!*<x*_sN&A9O%
zseUkSs*l%)@9D9);8}$+=SLgQ7yrE<S*0o}7!-HMxa_lr`ZO&%-g#DR>S3lwb6uU!
zav0m7YFZe!CC{B<>^%$U!2N3y80`FXc_Q>CQ_yzpt(~b6__z`V=yGr6rrgZHPj$3x
zwDW-jfy~adPZK^2G^Ic>_OsvzU^A2%Q7OV%Muk65fBf^kj^Bx($^CE9d9$yJTKJ7X
za8u!8iJ2sy+!c$JYvtt$Pj`skBzno8rtfW)ylu=yby~F~2yJ*K6TvL`(}QtG7(AZ8
z5YN^E09BA->LQn=!J*HSvRuqD<lFS{O!_W=1GqJhFD}Pv{CFa(Vh8^`p$uL6Pd+sT
z1~(i{Xm>Wr>{tY=`>zznpZW3gdOk<L9PYm}CTMim1RRDq^wO|$0dcfN=o<yxRwQe2
zZ|%-PD1<OGF%cIP?Z92eCg&C5z0D8{$c79IS=rfMmS_G?zWCMrEXD!iQU?bW&9O&d
z^NU{F!(1mHc(AA$y5G2VnXoie?UsI*n7oxgcJ|Mw&p@|a8BCIEXFGokm<3NK2;-`>
zCKO!!Y5t96Ie90g&&R`nmD`Jj{c)%+<1XY)3gENZ9{0t>x+NYwGM&%){57k@fCn_g
zf##(4>=k#P<%TBm09?SG7Epk;mnb)gZ;U&MJbZBcwB_`vn9zN@Bn4g1qhDOdlg%bi
z?%#loH=EZprP}RIe^ws-B0&7;ffVI~^Y2%3D3!~_VI_O|`#ILWF-@Us+RE!1tkCJC
z)3Lu=M%Ed6WKj=0;)}=bJqOZzUEsscD+ryaR=synLio?<!}8xI&WGr`!p-ZS^=`rt
zp*d=cDcfO!^VLt&%D2mmp0?kLx;>Z47%FTl^v0-E<Of~eW;|yR+NU3X#NyRQH;zcw
z=)(~9M-Hl1DKJWef9{^m3=Ob*5JDmCyZ$zj?zO&@1ebt*-*;DHqm-$B1Wa;=hW*#?
z(cemQSLX#O6}zV6I%@UzQ|(B|$iVGkU8%zTjdr#sTZ03P#QsM8cvDhH;44A>1lv%i
zN`}pUp>R`{rehD6e3I?$`x(8F<Hnaw<$HY<%4&$Gk1`gf9L1Kh`WUspL1%v23~l77
zr}%$P@>+5&VhS9Am*n@WmN_2pJ0bwB0`eIMo<tYOr-t+2jzOv`!hTtMNm~16?cH1*
znMdThSrb~ntKhYgPV2QDGkd96AMkwnQ9p>B-`s;RED&&}I}6x9n~)ZA;W?cEP3FpO
zrmsJ+crxWDPr!<I4o!P&f4ul;Zv~rj^_8}J+Gi_t=gb1A#9#+p58pIB3Pz)Q4;c9U
zL|@t@Ad$X9Qjcy`JEf{EPUfY4zathGxqtR{4bH?OFwrwE$o@WPi#hMvK#35EUY}7Z
zdxGtYFI_(xa05Yyz|?YDjza&JDhql=oM-t?--#c1zX8Mx`u4xy6WnZfZtL#xZ+g<%
zJhS(D&b|7B{_Zq6GIAoJn+z}x=zSx!3iV6JrH7+3gA4vUnj4P1*aqCvsVQR0r~W;U
zk+8sJo!25}o$B%`tjnj0PSpR#RpQ+#!6wutks|dD^Q(GFHi=0|uV<5bJs-cpZI9N`
zgw&sknS=_!gPp3k8u)FZ5s8?yX?xe7@jKo?DVMD0wA>d=1Pf$c#ifzY;8&Q7a$yfD
zJ5F)Z)^@#vU&3`3Nm6c%>7ZBi4bMyDasdKLwif5Zre~%`7SLYbs<PUqxE9E7$W?(?
zp8a5?bZvWcRQxqd*^0671}~o+1r*WQMK|140eH}(4#HYYjEb;ebp-@$?z*!L?A1Ie
zE~|q)XRu%d3|{xg$r&4lSol+K__|?Mg}|RO^(*GmzD7pwduP<W@Gc#Xob9Fy1sIZ}
zi_4UH1PpC8^-T2D!bVn@RZ+bpvy@s`VA{r#>W9tPda-+rTDQ-)bs-G3K&_G7jFo@_
zoHYlR{O@Dt*lbUX_CyZfF`2ClQ^R1Cu<(8-u1NQ6(e&090O4q=U(pf$IQ?vBV1VIz
z=@tw|aJW0{bL9{C*mrOmH+;eRtV@;cZ-)#(>ou$dIV&|ViE>5Za)g_lUvZLU6x0Ka
z_?<`Fl1~&ip!IdSn6AULA<y;KMVk3AP~ASs^0^pD;ACe};7gt%B<}EW^*KmM^61|@
zC$vzBMyAp==cerl;rA%;_&tilttaUJDYlZ;_fzrPnUop=_a?tZcrKi$a9JUo)wMsY
zbbJdW0UPl<CFu<f4;z;n7G*`=7W}YN8A>-uck1Z~xe-u!M2pX7GJ^4cy%6Hjb#5Wp
zR*DU}%=3g92{ToZa;y|iE4x2lxdtMH1O!|?=3CswzI!pUplR`CUG04Fh*emT7a6r#
z@sDBeMZp0+v+58MIQ&`Vb=7Nm97uom1Uh{Jw10CM+D!-TL@kH(EtS4^Uxoehlmspu
zY3S<c&3mOLv;W7`TL)Fy{Qtv;61eG*?(XjH?(UH8?l^QwcY`3(B^?4vH%f^h2na|?
zN!M@rJoBA-{$j>)2F|&z-F@#X8LHsnZH<CN1s>;mP73n#587{$BP={U&%a}+$&&6a
zQ{j0=4UGNK9^JhX`Di+yo%78hUylJ7;41unTZPMxZ6L%P9!5%G`4U9Iv*0zh`>`QK
z7}fheRB$JGHIz<{hgp1Uj9I9lw}=u^_3SE~nEo38P8DCMFJHAXfBHkx>aS?{2nwh7
zH0O;Eaz{=I7QBf5Xazb$uG}-#Yc4v${n8prvnArQwkbA>Iv+z&G^0}KTa_*^`IhOU
zzxRV0x!jrQX>cxl^#5oN?|^NY`i^Gtk4Zv$au>JD`)z8Rc$sP)Bg01ULV)gc$F{BL
zxojJNBtgL(SsU#za|>?dQQUZ!H#xOy)Z?s7sA6Ws2m%@mxC_Z$^>CEHAf|!i&@hu;
z+wqw?hP$2ov~3lediO6|<-!b#Y=AZ&LC6c^=J)B)6oAILxw!`1QC>6GCmZ5|g0~aQ
zjUqrs&d)dI)Z}tMA;w_*9<mDd`gnc0AJ7)b@4XA>s#4$IEbKHsLo3MxuR{O^kUS5}
zK%=4V6Q=+DjGiP;GQfO=76>y-7H}{C0Gn_7-oeCeK@!*N&*SCg5sInUP6U`DHwz&^
z5a8q+@5Wa^pOSpHSXJ=JJXFv;3Vo*#q;dn#z&w;_f>d_-5;zDtNWw}|rud++*k?Qa
z%xIIn!(CCNcYhPOr_t2YC!tJnZ|d{D7YWU+t_Bsn3hhWO;D&2-)OPa$$G#vQKK{y4
za|9l0J{x36`3O7rn5XEiX1C)0*47&U&q6vIjB6KLhjD_Av%|A99C7?dlJOMYa27V-
zlasz=@`dOct-E%BfpYW!Y6l6IfyI<U|3Qqpe0T}at_BvJ_H$!_y{R(&tEvoxCTpI}
z#H^x^O20ZX!N}g|W3fhv04WZZCKe<~jrgg386B7Zr8D@LzJjJMDZqjtnzxbuwQN^D
zn8=^+8lV4zyaY5h`oa}sp2q{yvIR)uUZ~D#^iychbUq67|HK6U<e{y+lgBrG<S~>N
zH#<j<*q<x(k=4mar)_~JE5`D>W1BxsuTtlo0+SHR=Y9Rrz|fG(2%(u<P=MgXUW7_|
zz!oC{V)}TkuL;0&GZLe{K3egz@x~a$gj980iI831fJe21u{O6PyyMEr!6CsI@|%JL
zN?c$G>k*EWO_Ys+jxmCB<iH;iY8gde#X|raB^4nO;&*QGuJp@ooAWm^e_pu$9WXBM
z+4B_;NcL~m2a-_oSoo{$cxywObeLo{b*gnNHg)=U{93LXKK>P4`xioP)you=a`H7r
zxSWNsS%#(=9x`-hu!rm6&A4-VdYW|sJ+&lI6R_gyxw1o8&PBJytjf1Gersb0j70MI
zUsp!rc8Rp`wP0-t6kGe<n?RcyQ&#*f-X`U;vjn_icy6prYlnDC$i1&_lb+^!Civ2U
z)q@GryC-^LxR-kke!fT$Q^-WSn{zZ87}c_<{f;Nd7q$zV^YREsJs2vW$G$z94qXjy
zt5-D`6IH4(&Ku^Ra=VP`wUne|h44i`BUJF1@$I)OvMG^2Z{}HZt(cZ=&_?}vdM1i8
zIWgQ>kHGxVY$e~a(&{4Izyzd84gkINj|j1}gwajQJP!`Rh4@yY|KefGnFP`pK8(j?
zdfG8ng<t=-WkZGGD>A)`B@#<{mxk>X?76@JTB%<03Nq?Z#~|}@#@TAI2tSHKwG4CM
z`cXG%0}l^xq@bMV^+)R=f^y28LbxznN5(vxL?62w{RHY8UEy)+FlEy}S*!q~Gs@1Y
zwg#K|gFKK6TXXGrt^i{soz*IL!(nlwz}Z>PBqOMkMMp!c9wtgSw{_tNFDWWQ2m=Ke
zbzW0|eeRZLDzFrcYsf-TW-PK59!|U+pSXFzU26Vm#lxgZHpY;^l{Yn^MOBE5JkZ$b
z4px0-a&p@qT*tN?C<M8@eFee2yLb}ZU_os)Vx76IS-t26;k>rkWObZe|GRI-rD#Ii
zVWTv}N@n*iq~bak=O)B+focH60lRigY7#<NCY36*YQ(<yq+#=I%jI@=wZFW7v2oHO
zX3Rl|VH8OA)*S6sx7vzHcb2dQW1nvErU6W%8!rR{qmO%sC)K*@5^rsd;JR9o8KIw2
zl7Nk14zD2{bC%7F;}48|wz2Zi@A15dF@iD5`mhsvR{6WY(O8jrM!q^B4mZyOR?v39
z`aswy!8{LZnu3X7#e0T{%kLJjC*5q2y5~kVHLQZ^-4U~`JK)^exSxG~m<1i^&V2U(
zcYp$guPOB4S1}fp3)?HHrnuoSf)0+K=Jhv$WzKIxU$L<59lGVbp;4S>U1Emw$VRm!
znglV0$d!LNMjXA+@Z3MsKy)5zfXR@1!?k0O!=z1;Gf#yq@V*b{v;FsEiQY|icuVUY
zA4uo!fjwizUO=W6sJZ}YPnTHGjzN$+c%w1j8Y~7q94%*<$bUJ%h9m`Xe@|?kW@;^8
zFsQ!A{%28^j0x2U{}e||RA%-GE_K>ge;qk#h)B@~S5`~u-GyEct&ncwds%;xRrSbW
z4aYPFkSO6Hd-7L@X;^UCByt6J?BE_{i2KSmwy~0qu!6_c4}Z_|VCh(tn$5p=S36#2
zYoZ1(p{&=CSmhVU=-b=f9T^>6X5`@&6GMkYOIb!r_ds3G?l>X2B_-sfq>q4UzkTs>
zkUwpbH?%_=jq24@RekzFG2hw|mTS5-S3D-ye17eA*6VG7Jx$y^WY*P;eU=-DgeV=Y
z^_><sJs#FbV)M<FU2t#SGK__8XHp{pflXrbfr_XjH)Hm8Yv};&SJ%!&5Vg7V$bueW
zVQC3{_tVu+sOVpq%O08^=P48Ar69xt%`V2dZX29eZU0@J9RmB}@bGY!7Xo12uCGDj
zOToF9HmLJykOLDJJS9z<f<JagbRMN!)zR^ND7}S@yrF2E_C3uzvancfLapmh-EIUw
zbJ-wm(a4Zmqo5&hz!M>>{xNuue9Q-d&LbOWSscV#{t-~SCUYW)0Zqg8dXv{7)BM;i
zMC!6Uum1zO1qF^Dc<+YVk1yTk<uyT4?Xqh}5A!jW6kyC78`Ue$63Q5sTR+1;ZN`!p
z7Zlus)QmG=6MA$U4c;c+fP}@81=@q}8Xb%VH(TJ+@j@Yk>;WaZ3~DGfHSlQZ_W>FZ
zq_SS@c-}UGV{7@L;l(iXa&+;#>2#ou0Q&3tsS>@9tjIw%NW^Gnld)nY{CyTTJdUI&
zEM(l~`}=%JU$JlEA-!59ZU)(}%^`%0tcE-%(DS((WzLs?+^`C5AF6B5t3DMaRr<?l
z+v<hn7rY4ynzHH52(e7Ga$ZReNMfSlpUmDbYH&EbZ>3fzYjp`)ZFf2Btp<&ga^)Te
zi!EuB1{9F+v;`g%@&G#^uP7xN16`HQOs_XiNPr0=!tdtI&TqAzqM^w}$BInW56i8+
z#bY`Dc8-Tc0}a|Pl>1sKAy~tQ%Mb}jKDw4l85A($O#FPPaFjIEVO7Noe`>CN5`@FR
z2ei4uf^}E<;lm7{98EgtBqyYZ$s6=^4X34g=Yj30PzEP@U2mSjf)oL&8j}`5>$d+|
zkr@Sv<Nfb&wMtN!N4AJ<q6u6-#1EMdzYxW5Ksqsy^8h^wkT>3g636E(L?D=kZrrZ+
zKN>@B=3>RXrQuALE5$CWv&_YSH{d0(9n4x+FLlx{M!J_kIrA>RLo#i)oRAIZAJJH~
z2lpsn0Tcu}2CIBaf?eg6A1l7Se@G!hD50)?uOR5ZkA2&$Do~kiavi3}{#=WDxLa5Z
z@Jur#m@FspGl9#yS|yZr?7^a4ySgs$r;4CMg({xA@A%Zz)ERlP2mY5*wTetBB=OVf
z!X>rNAhMO>ack7UKmSwb)Z%T|>(nm(@9rXRJP(7Cb0Xh~nFm<GubloQ>ErJk4le^g
z&F^!JaE!FOfR0^W<DU!@qDOsxsL;z%^UnQB+8?^l0ZdTiC~$jA{vXtYw>j1|QB7ls
zJVhfBi-q_tEsKmNU-4sM6>%H}!Cw|!Hvdwbjcge$>U5*XJe@aQ_k%xOz4}g+8GTGs
zwi)qg!krWK@RODeio<xC<2rOSl>Ybh<n6hBGcrk1F^0?{;0H+BQIIGRJBXI=d3J%5
z#s|tbpv(yV-^hWT0aaNwCR@d=LTU4o!<IcjVAs01Q3nCL6;O;BftjvU0Z3b=qt~*U
zZ|tqIqzJ9t0w#??hjl#W9VnK10J{Ev?_$Z6D(8=V?*W*7ChEz!lSVBMB6!=3AMyaY
z2&xFS1zw)&OUj2?zyL@jz=fIz4}skX`Y;NG3;_Guh1>I$TZd~Ye|)B=hX>fGd~4?d
ziv7-xOsvX|+4|l&kWevvnpXRlZ)@bFYht>bBI2R3d>I}dE<?pBEKJ;J2k6@|z}&)y
zeQ?N9vibd|Yu}tjhrZya;*E;A=jh<$@Vf|$^YBWHV*oE}Rg*v;p`qXMFdmFr9i45>
zlrg@$-HW@ebhvHsUN@&CC-+@NYF}QgXCa&(MHC-!lRxetmN9G<mIV6L-7jqVq2vD-
z{nAqt5IPe8F8TK>1Tkr9m5Z;#$`~euz?n18Q!ouq#Li3>i2Kayu`g%0KZmAy2o3jc
z`2u#E^E#I*6lWq9OA6e?z&e-2oSK;#0rnKn|0ZH#0I>|V-DnFHqm~Ho>{+Vt(?YVW
zt8LV<sJ?p)axoEp{_Bhj@i*gfAJ*MXDJx{i_(<;EZ^Iw&ug$$+f?HM!0X%=9E`Ph2
z<R%eesQg!*lm+*{Bspoe!rlj+TaFQb@Ee`*pepfDiZf&Fa5K%!dW*;skNgiW*VGs7
z1_(d{D$^H_+S7y;;H%GyPJ;KApovD=m%k!0`al=C{_4Zk|EKeq|H&>dCx;H|7Hj4F
zE-0fWc08+f5^DP_6C){rm_a;Gr2Rl)+{Wn#jt+&h_|>}nR{SAQ;V>3Kb94QVp=$0-
zQn6<W55HGO6BE@~MBJMU*5?PS8IGAddDW5f#*FoTuw=IUePeIy1EGil(-fn%hWXEA
zGD;cJ@Vl?)vV+~AQ?)EEFnId>GBo3dtV?KU=<d{;xzbQ->@*p8LdN4E40*5_Lm(jO
z!7Q{z3lRHC6;x3Im(Xowh`_^lvnUNWH@9k?{~{>*8XFS;{a#iFFvlXgoJoL<Qy^_A
z)EwRo0X<PK1B~9!))@!QbOEwu>oWxhcQ9u7-x?S4N$=>SH{mA7QI_Aa=T9O1hZv11
zJ!c#*QL3<o32ACdTe#Z%m%5UNtc_$9rBS<>PGQJp#LEYb!la=+$Fe#Kq>B<Nnu+2b
z`B>YC2Z3O^zrE`d=jYFHADQefS)@XXS4g*g+*3~DrKTMbD41?|_yBm5;bGaC+bHf=
z5TF(z*!J%#Il1>h0C7;uhIf?!uUTI4|MyZ_{-XYP5#AJRJlOhm=uUAYz9bvHfD*^h
zAI&6CEw^ghZKQXuAw;X~AcxYF<I!m0Cjt2&(MQjb5I5l_u*17<PlGdP`Drg|Bko5_
zs2@&Y-OYFz@9SyXd##mVq8!d2T@S0);r3?k0W|40%xv=X6~Et^aQiDW1~6<DQypGs
z#n&!*1h&08$Gp>Y>Dy$JF+2Wt3}J&l2I98wBNK%Ds*VJwc|q#z3yRQ|@hnW%E{O3y
z^Yr4`Z($<6NdCv(Y{|*eAaxXIp379Cef{%g9|D)*aF)pfxnmW&`I=Iuwzqc&0Y|cq
zhq?G2E{BJQZ^_?f0*q?lOZBlHeWht%p4rk@oo$+H8wIUcMJ`N-&VSNSRfkq}KLQJw
zR7JXNB)0fW{e1^|UdoEZvOoFP-r3KEt!>Z{k_)fnvrlW^3!Dx8yHe|ua$TBe-f3rP
zd*x@3TX)wU+uGSVwf*SiW@4e^g2hafp--AS@_t26Pv2wnz%c?omI+(!e*r-8MC|(K
zDxlfmp%Qvm$sV$=%-#=uI0s@ja7m%dSOMJAOL78A!n_%p)zMHq4x|aR{jT!HtST>G
zzG?P<)<#S@n?E)bcjShoQcPzSlQoh1-+|l1i5Vii<lMfuKZBm_2_y^>piF5mxA`u3
z&ZI7>y(xw^EDpXB7Atc#OXU0}{4Z~zNelVoc~?U%oJla$(6`Ozs?bY9hQmWJs9#27
zpH&WE7rr<*zCEV3i)tjKZqsr<Km9Y1w~ZkY7jiX-LBf(GT1s;*r%pL`=~xASv)(&X
zP@?_;td_dQ#>V+BXy_AsPL(~pM}Z%c2d&aVUbRb5lL3n_1~ACJd6M~hst^81iPSaA
zwpGm<sMRHAz?npuEP@;o>JSeNwc>{dnoNw*epkjFRfioS#JgHk_NF*TiH}AL)9XE4
zG)mh|vJO2zla<#13J)UV*U8X=L<07cAzZ0Qm(f?fu|f(;Z?I`NlE=h6DA51aNWSQ-
z!U~$6>MJYlriJ(mjwfcSnj3?6nA?odtRA2*)5ucF0XpD>87naQ4*N116Oq_xGZdtA
zO93gG*fHpnl6W`|KaI51-8>`o=KTBAsj=UM{g1}zh3%msz4fM`M8sk-Kn-n+Nk?H$
zQz21<J9DNNTg4Co2&362;>4o-ov+F5deuOWB;}N8E73g!AI)Zd5j2Rd9KH{|pY+07
zbi7<hp%;4FTJQ-@!gj!Z;m349qmZyU1K4{=z&QSiELr^DLSI)`7f8Z!dNcvAemf?Z
z_*AlOTsHb1sifX|jpo>Y88A^Qm9X9yQ=Rt(N4F<k@BBVQ!pzu;npl#{Eg|~@Z%BsX
zS~&uqZQp{hNiBCl4*K2&^j5$aOn(AWu!=0(N<1E!%RH*{JSv<Y(;V`bxji8iI#weG
zi#GrO=fb4*93RQwD4=WA72L_0JWB=nSpc%z3GR9$wqd_gKXB&L7=K_WS}^$=0%6k~
zoA(L1{`+&8<UKeHN&m7nT%47YKmK{i$~k$MIS~O-{bwSlP%v!igXp1`)c`pKF~Pxr
zb?*p>>%fq*x3^~iLL05>&SYjOhBO7R@IfR~7QS5OH}H(=j2t$Gsox!T+ZbYqgdjoG
z`na&gL!UEZJ-gNbcN<)zLKn&Lt)<GdkFlbTod>3LE@$4QzLQlRHCR-4ixYT{UO6#n
zE<k?{^T+tY?}s{FM@DKl);GkGXPA7ckj>JXP^+YlP87;%3E`II!Rbjl-Ky?Rqmhd9
zcPg~_mKSgKy!ri<S~{^A5Kdqdn8X1$qD*7;;p-O)1#s}jQ?}s1S6~EuW!g)P?pBS@
z(b*LbP9y0KE7kmd>sK!tYv%?}sN?O|bIT}==8g{I1M!UUQd)S`wIN>0C>&lG3a8&q
zG!EIaiMbyFM1{YCY>>XS@Rk{*j$9hIwJm%s)^Av2JciUAh>!?2#6XC<sXi6s)MPjr
zcZ9T*hmPt@`7h5>M3%w2M)v%-Z{KQxzbg;qT95zcML7h~WNUe@Qm`9PXFia(QDO!p
ze?NgnYaalB0G)G7s^sU-$~+$ifk$V<_%NVI*CKIybqaF&lEGaIylu7^zh(gCv_-sF
zcu`xAkwQMIzfT&CEC;T&@A~`u7ad<exxuiR($@7Zo3Z6wi+3Md3n(#FdA3W2WV2SD
z3(w!WFfzN~y@GxOTB4(s7Qi?DoZfRfI5~m-ijN#MC!`d*a>POtkTX#Jr86!Q1MDPG
zPUaDqaBvdAi&PbvTAtm#cod;2)lp{Vj=Gh?T2dxz;>m}_dkB&gDnYI_T)bSP)B!ig
z_uyOm^{doK6DYCpD#0EF4!=%sr(WA*$9;Q}$xf)u4<q64UGRw>YfA09Z1S2>m>*e~
z!TD;!51=;RsS`4%M92v1Cq{2qq<QaS+-ZU@D(T)}@Fyl_&Qdx&X=-Ar?dZ^-fZM*r
z%Korcimg0^h3s8#h5B7ON{utzvR*k|;SD5C{xv&Hs?10@m{^dSVF%;$No#2(sk{Z}
zpoo&c0*VphHTVAY=45n#FCYbeH-I89w>U~@;_j$<Nh1T>+1^V-3rKNBsZCh>)BO@`
z6ugOI{(YfB2~@xbf;<?r(AyngRskacL&B?9ugF6FeSNV>fO$HxySe+DP*;_Wp?tBx
z%>}-?luy#7k6Z#I%w_e1Lj!b8yCWep9W$M|Qj~t|vcgAM`SQn1dWU!OFtx|#rP9fq
z7L^TIfZg}y<&K#E)ImUX<B#NO1s=%T^`wx8j)Kg7k=glqcr4u6j{Z&4-<LoxmCU?E
z5fwoZXRrXS>4@KP6&a;-U|5!qWs!V@iWm|cQ9zun4+`xx{N?Z&lsp-WRQ#^N9<Zo2
zAB)Nuj5EM}DD4tT@xdVw!ukRK-=e0O(#q~DlZ5lbx~#Y5!CD`vu)bTuMvr|^#PAWS
znohi<n$rJNNJ>*?|NWwux2N0p^70ay5`qq3RiWH4iuKPO?0ytkN^KeAa>s3n?Sa^4
zusl`BJA)pd)&*Fh7@ta$!0I8iWTYKFyDs}{S-dBxIgi*V^U6PhlbPsRE;X{8;YW*I
z%ETsswGW*|!k+=#_Y4f{a~HkLC1shRhsGOsAj|yv*bRFB31rxyp}L9w|D?|Q55_V~
zS>JqqsyONCVHEP4R5{SK2Tk9Xh_u@7Ekd&#+kT9t&_5ViANrQf@_5}n$hhq4EE>88
zFeGN~^80UGt>eg#{_;?u%Q)n51Ag!O>l2VpIetx}uZHmZ;`S{*`<n=^)w-p`{*Um<
zS<CgkYDn>J52N+2f>!xx`N_N)3XExV9Eg+%6az$3NFFog3^mjIgXroX-s29yZbBEU
z^ea~+=dT~ZWyAHgIoQPNrH8MB6yIssXJY8%slVr~Dd(?yQ`;;<p+J?^X^XvT&%-ey
zIiqS}jDos#;A7&GC}-^Vp3+^RQw=5li+_+eImyf4YQjem1#a)zlRN(<MI3e)dYLX~
zj9Y_z6H5Y+{)x`bG{&}XcFhJ2OXVQ0kWvKc>A^XcwzhPr(kh1Skv#EO_9jX+vQeqO
zV38=ow*rMcu4Yu}qS>l(iT02uTxvR|zy5HT{J7BIFRS@i2;gh<baY~;;TSi40LgxV
z8pJ`?1|kNTN`+RDnjP>JtbziVmjv5@;_H{^2c|2~qW-B18mZ@6CXo4!{?E9+T&p7i
zPjx9QmbL9anXkdWa?pW!uv33cXiLf8j2Bx66K<JlCfZyl-^=x(t`r+0bP2KicQ;u%
z$N_#!6y|EXK40h|RTS>qVP^URM6e1&mmm9YN^qh>s^{K`r00eeQ+2B*i-cMLEyq01
zs0YaTUV{$3@nFaq%U8xHK@Njxmf**Hla9TZr>~9nT;iFgKstCG8wd+ebD{Sx*L6A?
z$Z&q3d>toG694xeR9P(Qq<{qj=-=yHfg;y|$L+WD6EP)pxRFQ*)!aRwQ5XEIEi8WJ
z(|efueIeXNVDf>%Ch1?{abk7q`cVk<I#Rf0P!_V<;xiHUl3Bl#{>Fo~byD4q>tiK=
zlnKlR*gQoIPNT+qvq&eCxN5~;evaKTY5}muS9^l>;F2-n1=nA|#YK@SG8!Z$UKh7g
zm&UEijVev=_+JuSHeOqcT=K~91LmB!LKPnSP|vO`u=!7r+C(Bhm_II>-}afa<(NYO
zYxh!tO5VY882{2e8BZU2?FYR!JqcXi+S=L!#>f|JpjWY6mroYV$bBKgx3pgbPqM4w
z!oU)GA+IaG@y=q(rrBcllv2a%0r~!qpGTw?0kZ+PvMAa`W<XiMiL;QSKS~;~WdWKP
z@dk~_DXl>xZ@f&|S9^duRO^odfja>J+Yb&82MGXE2Q(Ml;-oo{tZ_M)2HhgZHat;E
zn-hyySUmns6rH7{&a1xVUm?g5io)f4cg~;L@jv0{Xq9k}lrd<%J;aq=(E?ZhYjD$i
zlj!9B?A)P33dzK9%5Mk5ywB2*kE~{t;1aB9OliO?sZi*sH=B6UdmLWXdFQ!6xn1V^
z=&sW@y(yyWE`2o|PeR!7L%`6w>%8jo69NIOc0%Ba$_E1$pqYjL{N)R*sX%$S2~9l{
zk4e3v2O^A8LS3Re2CL`L0Cu~}sPH~bTK?R;CZ6}N-HNOjq|VO}5HFfFz?|Uew_*YN
zZ2o*{4uzb)SZtWf@0G4WJ=OpI3Di!#P0{)5-em$bil9Q{U*iWttDpO4P9GYzCIFlP
zlq{7B4AKyW_up<^s?Ym^ZOUM<F(nP86FFzPS{BrDrsv+ZdEnFJIvn3%$o+*LKt?)^
z4}3$SUV<F^`oxxf?(grBDWg*5$~mFDyswuVfCEBLtwh+k$G>c;CQwGcyB<cO=dXI7
z*;nu0!|-(O!NF{Jh=j)X>?87-%S`SfrB+YFJ`3!v-3tg%LA&r3^qqLkfHaKC`PzhA
zfQPOTzdV5<<zpa8FRvU0DyE8tL!fjhnKf@Qsm=TdcAHvVT&#{wIOte}0-X#K>5h@D
zbOd}jraWW%l}O{@s>0U$Jam*k9)aYsPT>d=mZ<Ll6Y_bby4wCiirn|@1(fxh&+{aD
zv>6rU=0ZRpNXv@#lw+!_0~_Y4b2znwLKxq<R7kdl7CK@s-hV^yGbuD9XfG@|EAj2A
z67W%2`gy773!Af`IpoRPfTmGm9Qoc3DB?=bAh4lHfDJ7tI~(##KXgZbNpM#mdZ`a%
z;o;$7#r{8^f$6OEJrgK}uh%<VbHd-7VFPdIxJ}Q&55d}J39&S8yczzcn5LLW3JWZJ
zDTtJo!g$5+Z;kSru|;8Nh@r?k7q^FQ>%aqH@(Q|g{Ron5$i;=2I^UD+sUUsfqGk4W
z=-JiG@j}BYvWS3aEbJ=JvraFZM>66`l@&4{tNzD?GTdrh5gJ(^jI09s8>HT6Dl02z
zDak4Y9PHt5*<px(oaaac&ze^s(%nF84l{&;#GRMe4Xc5><N6LLxtIW#^zsRSP6V2~
zJtd>9+e<*yxA1<iC%d)9QnJ#PRKHn5fx`Tbq>~2ZZ7Ie_$)pz~7OYhnOJV};0FVqE
zLQPlOw~zl$+j;?K))zt?8HFOR&w}{K4)+ZI4XENMakj%-hCv{kWB96xtums>4O5!a
z9~>xBd0Rvz4G++49x&wrW^(oo3fZ`3H|qtfDT;eZ)WXfT6C~hv<*6yHIJN<lcuxd7
zUWTtgH`)yx{=7i`a(#6LbPn|;*+a7p+MXs|s{pLftMxgm_`0NHPs?JJ<7(7xi$kPU
z_pZ2za25@po_Nw_wUfi;=fs~tC3yxmArukp(5&KM8xUXDx02ui^sgxRY~W^nz;9s3
z2#X9-m|&61_~yS5eRG})rpz4zKO>O64`5*btYmYdMsn(z+jqUyv|_S&BJTO>sGx44
zI*&S7rNaa!e0nI~eg_Sj#DDR;|9*T`9F#h$cLrk>^W>G568MbY_r28~x1=7%He>z3
zXBa+FoBqxWP4L{)J~Q2S<RMDlPVAx9Y;@yOVO_XX7>#hZNH0U3iDt0>MHB{)icJGs
zC;w_wD8hACXq;<P#)ZX|;@TDwGiDRugrh~8+3~rgFpxcwgeo;zI6(tUQe`;KA|$$I
zdLAZ@(NHZ3vTJ)SI5eWV5f;2%5zEsoJGn6Ts&I5DAZAeq!5f&eIO|??#`0Q*A|7cG
zh;IPSXP`?r;PVp<IC7c`(^r74+}qph0C4MW3>1th1y0}~*-jCEs&@-Hlow~pdzbTn
zT7tW;LbCRt@I)8l53JXG0z5m(pm0d-@sIOdY4lIVxu{gsL$IGHO)p?V<uu1elGT(c
zVPH^hPq(EL&wcBQ$UYWiu))GZ7HlALnDA~_i^NH<DtMePX130g0~0yFHXp(t=ac)V
zWpNl#G{q#*pu<gwZuVII`c~l(8~f%attiH_uy$sc_o^FHZa;K;O!x{A034`bMXNn|
zf2&r&GZkV<Pou{%^xlG2zUbMP+ySNxbboEnqLWpqLIYG13Qzwk6q%#{LU9SKJT6JW
z=M~ONI8o9E+l~83nNF^K1uGMw4Z#)z20X``PKkt;UEF1YG@=}q*&r;69G|IdQe2@k
zKL2;f@v;OBUu&-Nf!PfZ=PYf7pks#;UU3~Zg^C}N&;_-%XTk0qL_@5CXTq8+t%^Uu
zj{jK=wrT`H6t`X|Tg8Gf-7YYu5yo%|3JU6p52o`d-JR9@B2%EwunL)xOa9Sd%Q<8-
z19GN}jEwDRO;?WMigbmculD{*PWy!yU>ER@E(PcQ?#qeuKimu4V_w4Szgwl$-)ce^
z?Rh{bA}F4F`mO%-dql2k?Hz%YBqkDF2JPUr$n=6EKJhVaN7o#k&<uvP=i`3(=GIK?
z9eZzI>KGB+;HT)%-oK(GxxcqJI@|c*A&po3!iGd)E(Z_m{y4s>ekL_<`&UH4YRa{T
zgI2j^h#W~^(Bbh%y8}xGh8fjXBFq|!O{0=*I+dlhnu1$dirq$Y5sj<W5uddjmkg2v
zb0)Ktc7D&&iQ36tg~l(Z%V`A`<HN&PfkI<FrmXo!^?Mh+f)tkdgh@o1zJIIdH|lic
z{=@*KP@(gJ6ZZs9O|^2X2OCG~rjMPIpke2>nC_CRKEj*Vo-&zZ!aeiz9CU;J75=Gg
z(f+5pLL5<&3nH_lx39cst?>}xu~FhF8niEL^~>5;U69jP-TrteqrUOahs%$WP$(MT
zIWn~nhqo;iK}wZ@ji^3|=9$5D_i%84sf^<3lEL<<LwJ>Z>b^M#hH!=oU@5|u%=lch
ziA-hBMC6vd>nJ$+5eTTup<fLQ407W?n3mIe+d5=_a43cA$VFON*+m)wQfTv*k1te4
z5}^E_$EZ^tF2tWNUJSY~aTe@PTkN4AI#{$wZB)H&^%#%?!k{4(3Pj#FNp8X0fD7sl
zDA)Z<k;n;|b6%?x=&oQbt}PZ7GW|4%Ddo<F8F7qp1qU6Ve)fBA==kSB$0gdnkv#MK
zyDX1uM^ckOjXMVhV(~uDAMPt#0u|&}+Mi^3BuN@Mq)S(Ic2z+n>ggd%iAP^t1XN3g
zlW{bXKOT6d{iNr#h6OGaK}W~2%AnJ$$S98bdb8tX(wfU-+HB(*hT`1j`ZZ%kp;r_p
z<<P-*2qyF-U-&k|%a-W=`1Gi``&XI9M3iN&S|yfLMEGi$c7JE;xU~)})Cq}_Wb`bg
zM2pCeV8)uu5hb$B1mpEa7C{9r1XGrE>05;vI-X0Xg@mdCrGx^d_Q%=Gfv<g3CsygS
zvI$%Eisq-E57CtPR2}i)Ajs(&Xj)C-7?vXh7O7AJ*s#oWPPz&j<Om_Xh`rTLYRIjW
zSC}WR>;Sw(^6NnV>SIAv&2ZVsC2R&mt~(xc<A1x`oJZ5>#sN+MX8PdJ4%iS{et!{V
z_9&!5j!??PW=T{ykct8fz<c*kT_Xa?3Mjm_O%T#CxvsxvA+B7`+%sL<0^o-F;fW~|
zdg*<LrJ=;D`j)z{M!s}y6`XP8V!;Fu=T$Kf`1HcYQAdGRJ8*ZaoX;yN%F==bA(gXx
zV%IO(=U)1u_tn~!4Z#{+#z>S0mw_Olk*`1@XJ{Zv(C&QCtF4+&iXk~UVzR>P(o3<3
z;C*l9T=jh@vp4b6sdf*x;e0hTFqHX?3TC2@@hY##oIMW!FT737Z<z|cq{bG-qH~tJ
z#&;Y}|8C2f8ZlaJ7$Y8dxqPOzk&t$*01BPkr%zo2X!PdhRcalCJ2Hd&W~)IoO4r{J
zH@bT|I+l5+y@h_7GU9K%PlXlOBkhQccjh&jk@*Ka_I9S}CZpk{(|@6#`huc@SO~k8
z6KcN5VLNJJFaEewnf)htAtEjfm4CKa-?I!1B-@?(XP^H=L4!sTSK~fENN!|n^ZutZ
zS(yd{3?@Rj6i&_g$%3-1D;c53x3#}*PD}O>@A5PDr>k}0e!u-qdHU%IqmLIYfgXCE
z$sZTLSOzLLmirsyVCm^XFY7<i70t5dOoFyStHd;MWAQIP#c$A55rvCpYP)aNIY*}U
zE*2fLYzTP=!rdmjFh<#?ATTh<ND!W>pxtp_<{8WK5v4NcCZejZ#h<iVl!#=LY{DW)
ztPVjFW9?#X?RS}fo{|qG-Rby#xJ!DvZDwuehn(Kd99%(YEU!7CaC&9!U&zNaYvjMR
z(~8&MtVPhpynbs`BTZ<o+L$tG1swYVp<OI(=>G<gAvHCQhk81+ln&`(G=r8DLHPLi
zd){wIR4HHA7$g`D|7Y7-?W0aB)7t04Q5@RY%TIvX4gb_%P{x3cj-IKNGMjKoz07At
zIRuQ=9X8(rl0pWd@J|`)VgZ-^GTtDcJ9;(`$o*E1h|To(dTJOF0O#XW@AiE8$>I;T
zp~Sa|La|Q&%lXuIdUPdvmo<jPxX-60CpmBL?#PdvH;A$fnMqt*U6ha^oY%7$yYquK
zB%{lX=7?e7r391zE=aLW8r^2+j{yrgjAl`Feo8$DD))(D*4V7B;mMtQB|+}~@y(L;
zo~+P*g|TKg4sFKi3{=?vrbT;^fC`&z`P=$aZRN?+iVc<0{67@vU-PMY*~v%W?|X?Y
zpFb$e7_F>0nCc%dWhF(@SFXfo*I0&YzjiTJgsoCqAr4fXXTf{Rql%TvQm6l~-xEbj
ziLpXP20DAux7)Nfqi@852g*6RAMedf5FUSE#jw;T^fM)#o^6Zwg4`E=`!8$zy_(%O
zPcg>zdWeXKBe{r^J!QV*Mj(FYOYvvB$$iv3T4npLY7#TuI{yRlx>6*D?)BcEZw6WD
zTfenKAPesWL?+cA<exyI^<KB@YC9OFK)e}Lv{n}>jRs6%0X|qz&~?hC!7`DT4-4^7
zhA5=AERvbo#9VVYG}#&$WXpWSA7f}eOBYXjh>!gb28l4j@Qd_7M_kqNVF+c9*{BH*
zgZ{*1c_*5{6(J_XLGShOL{0Ys?WMDD)#ZYb6R~l}2L$-|FH9fv5W+Z6;|=|7Aji<0
zdMi=LP2a}w-Nt%1`RDR^5`T-rC<6H}vG}h$DwgifcP35MKhGQ<5I^1CyzRev3;lWc
z=b-?Q{u%V@Vo&2g>9j9Z4km_z#QgH<a^&)IR!<VC{W{$R4UO52%RU;lT5g#?ZmMb5
zv}^5r%oCf|oBt1TmtlW#KtbdW7&>VASK!gfu?e_8AtR8rjzhMF-FPl1j{N+Ry}o$F
zub5uDvDzhIH05Te>N=24tEKcAwlh}zrlbL_{SEsm+2i?lrF;{zPSLB=!3_21{=uA$
z&qU13(`n?vo`0jkQE@8;OD>B=^<LP(T7zxJaj8nKr!Ovc-JkvsTJKIPJT#)rq%G-u
zUIFQYImvisU`2MBv(&I)O4*!&UiQxRXo~4_h)?2!W1EnuXh@e)I0$}pb#wCz*yS&6
z6B83_m^AlCe{GYAj|D+;O%ElzIre^<kA%Ah>C^p(lSkft^Wc@CV@}vwX|coj*dwG7
zNaJF;W;3ArwlplWEp99h3YzMX<O;(G7HQdu%ox-8YflvIF%5<j()XB6jBH6fjUC^t
zj(Qzk--Bo$pjds{LWePQC6v~P<L+$>zMjZpHm}N1O1Hl7zAqCg534JO`AksW_6i;U
z+<Eoy=$zkY(GQWuf4r>Mgp@_nAH)!i_$Op3Fy4<geT>D({%dgt9X>w0RR7&|SkSpJ
z8Pk@(2>F#CN66U}6f=-ki8d-Y1B-(NV^<i30GY1PQ*-)JQ$t`?e3qs4cKD0YVYh2K
zjR#48;w1>_JM;=*hyDfaPWt#)NmyS&MppSYEeFhp%@40261K8cvUfMmltY>%qo(2!
zGfw-&bf+L319}T>3?eOp;v}bli^TZPt-5-48pv-um)>m@eF5NQQjU@s({N9Y8zaCX
zu!={*Tz|ZnlxkX<+oE~Cc@FrI`5z3#BQ&!_)U5ZOKIg;eMbFmX40H0@AG?+H4#*Is
zvA09=2kRJ5N7>r~jmh~JA}Mie8YXv7zi;Mm9rY9$llY*-`sv3VF{p+G#D)u!8^&a>
zZS<U&lTT)smAAofHEw)GAUj+}>-4tl=F0^sdTfqsve;cgY)kq1%tlfBWp`QeT3G+H
zoiJ)$n`>7lRp}l^%hS*yM#!j*k`Y9so)!h7vD|j*tSc0&{z3h3A>6>dcsB?f2hrj!
zEW*OVJ<!KZt8$4Bct~=J%D{cU`QMWhj8~CvkFP^MSsP~C5E4Fpozkv)ZJ#{VvYvwK
zM|vDo<FX1QFal4e<_?t?KNp9u`SGww$;rhH*0UaMfAXtczAw0+;-EmsW5JA&l#oM(
zEE9f|Q?_8uWo_Ft!pF>Z_N6IizfFXJgI5!YyoC<^E&T!j;g2ljw%0n1i{U2Z!tzp@
zo!7f1umhlm*8FFzA4zOnFmd97+{hlUj*?UD@mwO+A5QBZF0A(Iw|T`un2D|BYbZ`=
zkfzH9SW1e{L>i#No(wPcB7=u%ulw@wCBUc!fdUiDGwzbEe6mN#=O~&_Qk(a+4o=^E
z3v?XTOox={1F{RHS4LjAN1#w}cd!fs%z*KDy+HEy^)<M;fpC?<qvF@uQ7|%@i8ggC
zZlH_Q=kjVprFhRUoAaBO5QqJ1M;h-WiMNbBYHQ0zeve2(jkOJ7l@~s3F2>mvY3;?I
z1Y$opY0uJL8|L1f$r;$Ox2Hu9roG$tfQ}f>UAHbgdi;t3d(>iU;LWCDmwhTF7yQTi
zW_a)CO8HMorTnN#A6F!M$Vf3DNDRsuq;sQCuV+N)#5W$7d^yJGIG5ECk3#gjam>4n
zusG}T@$|Hj%R;+;5%rF8Z)(Mnufr`B&hK%~+EeBF?F0AjZqn1>OL&h0bai!IpsVT8
z+lXG95xhu{v0U=_y^^Ui@}9NVaerQwvHiYn2|jf6+>Si^3C(RVKJ33?B_yT&?7n79
zLZpl1cZM$>aP+FvEdKfTVCC(?*g?yzJiso&8zqAp0p!|ld&9w^Ma9K@mzzaKrf~rX
z?CVK|&0E2k+NURcJXYehHT7)J@DmX1$?gPfr$mSOIi?$m1f&cN0&qE{?0;mh4l!HC
z;Jd;YIGbcfeiSPbav*bAT_BWDHQ~$eXnJjN`>xwL%=4t!UhkB0ZtlV4r0O)%Mg(1`
z&tG`+5M|jo)W4RpHsp)E2u=OxjNOQ>yp&2u^ESqd^LmDVCE0V;9!nY8C1X#3L^EDT
zCxJ3BXL(9BCv1<b==8WlZ-y%iQ%fkE^L|cX2niWeW;#D+y7G(3M;QeRO0T_mB6uO9
z=J6@PSpDM2G&~+7bN+2?0?uJ_9X}4M!@YBke){>5z>;TgGvPzdb4vo><|krst*~oZ
zOe~rCS!2ykhs5zkM!pnEUU7B4txbSl%NBmpo81lHci~e%*=zG|)5cSYLOH`Vrob(!
z;ra8^@$-GSZZ?a7^ce>dw%f_0DxHD$Sbc#s<QE&YGCm?9)@ES*DlEiM)rEG_M!TWL
z*T&rTgq_f#KxHo=^#00a+2>`Bx_<txr>pA+eHvo&gk9P|LWUy2)V&MV6MtR|_~bla
zG=^;0RrP5ASsMc@qE9_L^_@GRCuXq$xzq(UBBW2lj<%u~`uy~0PGUyVKwxG0yF1)e
z+-XFk?dsQG&*vh^x$C-jPaN*jWEiHnxrvYSb^&SQ>vO~^Upi0T4>sj%XW&2xR9$R>
zsGt6<U%dIc<aGrNxI%}(yQn3uq(HA26w{S+*g}{acMk1;#$IJ)iJh^b2CpBEm5L6p
zH2mZkncw9vQab`K4F5{^e2vGGW`dLGwk3xTo$yt9;|bSX9J~b~0$bPX)ddFBKRQWK
zJ5dWwj>9=oVenxR3J{CWOj-zaYR4Yr_l@AY**7@X5`lv7Y}ugbmer=)(BeHUCF;b~
z<VrX>B*-fj)*3I5DZ<$wHgCQe;M3xeAt3z;+n|C#u;ft+KOy}~gs-}qq@OJj3(2?1
zi_VrVGJv7blYqy?rb^wFx2Hn;ywhD6>sp3r!BO#UULb^btPsI~SdyLNom21klmbZ`
zQaDJq@iElNZ`01uw+{Wt;8Xr5xG?0*)>Dq2oZ?E;y60EB7q<~bCY=F;)7=E{5SDLW
z80VxMk;lEU`Y*Z<uy1CT+n$7P4%WFmy{XJ*ChZB-8ZgA%-9+zq6tj3kXOEM<6#4NF
zhR>3EoLh7~ugA2}khroMs<NwngkBZZH5azD>n%Z3dCfU7i{m~9c<c?*YyQrvtaqGJ
zf9^29_J!qtgHNx^oz*f}X26#`87u7Z-LJzHovpYbS7PSu_g_>@5Aw9lCFA|G$gY~K
z?S#*+B5V86&Fb*udhWN6^$ZC$HRmF3MdLu(F8V1*2Jb*+vCC2E_*Ek0hf(cPD#BlP
z2vQ&veeY=Eo_ghA*f2}&%b8kdGdc3-xB(2AKKmK;b6Z)-S!AhYAJSUGj8*U0Njd&u
z{niyXPhvEX>ALY{^5zFqLPVUNUi(r4I~too(*r*K=X>On<Uv3*&*)Q?#jc1Zn44<L
zIUAs5sl#lR;+;g_b)mdYwd1I}(PImo6{&>&u53=?b)=HAz+Tvcc^dAZq~R$A+DrYT
zaJaDc1eJL<H96hIz4~n<!RID>?9o$`Mj}1@r<&*y+73G{Nwpt|M3r(<wgFLgZVpTo
zeDG@@U~%AhVFNRTe1A<~61u;J#fYS+s!>AP1eOV~7nRH!ib}6{QdlwYxR1J{#Xu#v
zc#te4v6b0nxcF=wP#^}Mx%eK3(D@elU|~}!==WAKi=-6IHhZSLL~}@LgFJox-$lWn
zFmoy5FfsMAEkWT_=LxKgoQao01#`xK1{#VJfAd{tYyvOH`btrwQwWP{XUU$pnL0;|
zT}rmi(g)$k&#qi+>I8NWizHH0GHB-8UAL!YbN-68@5*&_!l=D-9>JFHC1cqAeh^Bt
z`<C~)u~uI(O9h!OM@VY7W@>u;Xdp+GbM14)uiW|6FYcgR@tzJPB{U%P@}Btq1l4by
zkm{qenOaF*V#R0Ig^ffus9SkI7THD-g6Qm7G>k=|ARA&V2*VEy%(o%5Vu2z>e6~p4
z6Ex&Vz|`neVNc@KBVJu1Ivd^;AK^UenlFD7peg=jPY2&~R-R;yOHkhhgeZ=VgnO3e
zL&y|^-BqYfn{wtzFcKd*M+S0m{6AV`@{Sld^%#CI&&bq5`uc`tQ6-MO?=4aK64w{k
zbP#^AAIwWR1WtG1^X;6JQ)o8#n`mMFshdnl1>_TUs(?XMHFu^;Nl^cU0j<SsT5%K}
zGF5^T0|at<!L!~*2B&7t8hrV|UK2N-3kIVh2xSHWK{{<h=FVncxvhrQXc9Uh#m5ht
z`UrAH>Y%^kQ2Q+#g))=K^O&wavUJIq{*Y<-dBB`faWHpNCRn>-9=hM!;3NaO14YOh
z^_UBPrU?8eCs8WtujBQGl|jmi1$%o;qkPYR-pX^P(u-5|*uAVHZ>JC*5gkJ5PVsLw
zb&&*Ol*u}_KulrWfjl?$O<%?fehcg!bni2hw~<Qb9N(Bv+29gUWx$IdMQn`k_y}#Z
zgOeuM)RKUzY<^n>TDk}iq56F>AI*~0e3kQjU-V?#8)DV#<5Xq*_@^?~$f(?*X;r+N
zn>8m1NrtaJcc7NsnJidHx6P1!4kf2@wfXR^535kH!x#~k;!2G1=iMD0-4XI`IijBi
zzvgrfZZ^|ByrnJc7bha3>B&{M!}~*6_t7F+<R_DA9eDnoLuJb|VI&}Tpa}Ha((Z$W
z&l7_aQxeHY&|_uER1MGwS>bvhx;?DZI=K`$K~AMM5!FPReAp~a$t562<22v<io3(-
zaqoVgF%fn0hq?_iT^!B)dvKT`cqPieaw;!;cGbpX-kJgxW!Gbs&Q-0Meq2{eH~1*?
zEHm|V6#Ucyy$bAeU6Q`R)MQ%58UZItye+e+Q<~R0D9`}sOk=Cr25$XayQzAjRlc2P
zbyTn36l_o&frH<|fPj3}E%G;qBr3khL|s;=nBej<PYZczQMT_&Z+gVwQo_RHO-}Dp
z(d|uEw<d9PD>7A(H%9*ZUU?Zud0T~mol47s(zgZ8#!07DR=_)ccfr$oHYXD{ps3HG
zgG(m#ZEFD=R$^mKM<u6oYNhLU{i`??CCEqDnT2NGR*JLiUR_*Sa#onmC4^1hR|Et!
zXb>cj020BlFvi`SdvOt?i_<2`g%j_2P^epn`CF!a#~eh4+&*@IH;b-O~{H`$F3
z(k+(IE>NU`7W@w7-$w4X08*Uw0K?X^J%ln{j$*_h|3iQ6<e_(;t|{!sEr@*>+&sO9
zUR|*lsJHC#5*jt)*Dl4SdVNk77b_7rLe{so1Lm1o#50DQ_2-ABzdhTZUF#fiDneJQ
ztf{*nA{C7f!31jf`;Whf%EP1Ihy=&l5kAxov;=)J`aF94_kPg+cQHAOO*KgN{yq|F
zq(~_9_xgEI3~M3Uq*%97{o_Mf`^Zw(#BM!#SLlXn+-~LVN_m|rBmJ*PWllc>Hv(7F
z{n2W-*82Z^?(BU6+4aSFGLAz-zj=n2OpJa)+aMxJwxT{h?@hihJ~hyG9KnR#Nk2mm
zu17=v;7-yd{=9y+7CsX6X&_rGE*3L0gc~uS<0z5lt52fbjK3J9>aiz?Y}vcLmCREK
zUbf5nx_0&;CM3ocBU5Ue&g%h_ydC`5*^pUt82Iy&9(9o4opr;<R7OSQc}ivCZcX!x
z2T#Oe%zJNYq=B>8K})~d1rUm3KJEc6{A>|M=+z=ofks)+KZ(XY8~HR{c)8L%$;O7n
zM$oV(Y#*S$4pCrRVZcWq_%%e^-mEGY*z&uJ7EU4&o}RDCid@RTFV<--C**vo=~ub4
zM$;WqKDU+xDh&VepE$?ZGUoGaSx1AGFR~-}XpID%@o0#Y)h>)211UEXad|#aYjpIQ
z;w1t}lDu$=S%P`bEWwNNKk*H}bJd;S6IFi73F)TnFdB?i8{{F^=*84<w5~!XlCY7G
z@lKMi$~!FUu<Vet-CAw3zI}K9ekTdx?JF!v&q|xNMZNOwQ?=z3c6+`d&G+{vC?Ed|
zKbzRpDn*cLN^UNGmGts`rK-w6b#)ml2(0=}8Zlsd!$oG{!Zc(;*o}3u#~?WH_DPc8
zl5Nlj%^I&?t)uv?W4^qH_}_m36yV_cX}*X2xuZw*gUo;?6~}+t(Cve!{B{WinKes@
z25Z6U^K$w1)2LHMZKUI(P<Y&Ec-^9ZV~Y65ilvzin$@4{PiJNu9>Y-ko|AxL;?pNG
zX0<F$JV@&2KSsHB!&~!<XUB#f>ktVjw~8;7xUU|5n==nARb;)>xIMpEKxWqD2vJjh
zV*6v#pMPH;uAm_kUGAoS+nygoLJU}b4_i94?nHRx1oeII&m$8zFfGJ2V;Sk7$}?W6
z3f2R`wd_+Pu4Qd`Vj%wzachWK-^C4c?P0Kfx^{d#Lq%~lGatnnb8F!^CE}v8f;ZoT
z;|EuaYBkx@*251BKEA86qq1haRLP>reap?e;HEt}QLz$yn)s#23rL6W_Tym&jbh)-
zTdE2XAt9p@h`IO|0%G)7V`F1Coj(a>abD}vfXk?pv2kXeU4oACD6Om_e_<VEP1ySN
z%L2q1C*1+uyl7^*wWZ}E^f7YPj=cHp*c}nC{M%9pi;)<%h`bC997Sp;LdzQr>F&Rp
zL{)tV1-b96U1Yw>xani+*R@)co(ImMP#m2NxrYe$`nCq5Lq_xu^M%*{>;GfZ$svNX
zu2cR>Lf*w>VGtU@OVlO{2S4=@?fc&qZ`Tj`ijlVCwxR@?EaQI+r^$p8yS|YAA<I)7
zKlsmU8jXtU4SE-KzB?lqpC2=H4!x~W;X6*ikhA-|;Tp#y;w#MW5%{mUToGU|EGymk
z;1YHpq|z3u;00Lu$ZpwgSr^z7&LM=&5jzb2j<IR`d%=p(#5s#3-I<&zE;q8yUpB|-
zEMM)=U|(^pC;Qz!J}n3PfYb;uGt?%neBoGISqXq+o)nqA2-z4fwB&i?Y*}xbjg}@0
zQM0w67j2=f2>$oyYlU)-8L7(m{a&({%N+ZFU_Zcb_xJa&pC3r6x-VJ~PeR<cGx`I6
z3C!5DvqER`hc|1?+SPsy4K^7qF8zpwLIu`TqqcEJ7jFW&`ttQ^eLZP?g2N&31A@fP
z|8yPdqCmR!EjgXbYUo49wW_jQMhOzXZHv|AgZ|#M6inFmg)+GcUgeJCy2z&xPGP3R
z_D}EnudnQ_*w;U$iFJu`*Yiz42KKjakKA`U(V^1o#P{2WkHPC}w>{+-^eg`TC)d4;
zvfS&3rngTw-|i#nJ1XI$*2>Be%Iz_cKI6|CS+sij5YRPnF4<2aylNI+OU5{1wH@6V
z-#*&v{Abl1#7gQMy<J4M_wbp0Cb8Yx@>8{#FjM2B1@#fMT`T#|=o{X}lgImT+MqxU
z5>cobspz=1%UYP5X#%o+6X8xk9|))~Fi-1lAQuh%SDR8ojH1P970-Qca`P+1IC}>~
zEv*+8yTo<2wOz)J%$;ebzL#J5mg_-B9DbyP*;&|_`Z(x)C*Qza(d&C`)bV=bWuI+I
zK9|H~!9#)g>xgu2^<EZ|d8wx!v^i5pLAxT+Bv@3`zhI}CH*p{HNFl*U?fY(QDb@X-
zn83h=$6&NQr;5jp8DcSp&Dm5;=d_`;L6#)<RV1*fS2@})nv#nDI>**5&hQT#7B7SY
z$5XWM>^7aX@}X*15GH0}Lr1s|Eyi~nb{3W28i|F~U9VY%gN-D731@l)ie0O{XE8n-
zQsDo)&A@+dLn{bQRBUHdW=U!82c{-O(&g49D5sZX^+tO-#uvBr)f<wVfkga=H{-j6
z##6VgHmVym@uV?y>)bi&0=rEg?O~9^4Vwff@956zOS~ZPF)H>Q@ij#cTv<G$Z@ajQ
z;<=-hQZo)H9TG0qmmS{7LuJ%U#HKGEEPZGF^E(k>=@2FjOqX-m&7baSA&p6(_@>?E
z#LiDnv{|F&`+OVCE7v!OWbia!%1M%2xGNTn-99b)v>f)@cJq7hna6Opx3qBQset;)
zA3ubIgp@`^^9nZgAmZ=+Nfr#bR|wW`<{wAJh25o>QF?bQ9cU=2p#OQpVx<hWYwR;%
zOBu*sYVF9Ya(J)bpCy4<Y#PN6^VJu7Gl5L^o?XEYwdF^h?YqPImrM2UB=be5Kg@d7
z{y&<oDlDolTn`~34HD8IrF3^nOE*JzcjqRg1*An9q`MnLx~01tq`S}l&v_2_+{~=`
z*0<g~?(-i<gNKZvyTJd@Jt!oCdB4eo;jJ%J8nPwc{hP!6Lc@UTVI!>YvYYt*5Y#8f
zrjFOAWt-`wlRZ)uV*rW*^pJ-On*P>Z_GQ*3Z7}^PD+u{JNtN)I(C5za{9G|6{5Mpo
z+{v%Htw=Gm%>KoZZ83(KEAn6>l2sDkG?0QN#-Hv<$uUr$YSKv>FTl}hLZH2oj_n{U
zhKz5Z%4&UGl!^F+XUtRJ<qwjo$%wBI^RS9dbU0`SSna;d?aPG%4j(^2SP+C?_Xlvd
zA3;av3vk*va5`qmVZC(I4*_nUv_~?UtCy6C*@TeALjHX;`FfYoohQ7q)ZWxIKR<t`
zXW;PPn`X~(3<N718yaSnU+(ViD5L1A_I$t5Ct|*}bpLk-akrV~#HlADXr%0i6`4f$
z<CZ(luA@detOdUEjx@=(;5xkduzGsy;o*T8Eb5C_iKAJ5J*2%u`5`s|9zqT)C7-O3
z5t)Es1E0LlDuwvHVAJ)pLkO39SF~BDg9;hk;9{R!Nc8*EY#9_KcBh}!sc%?{2%6Cs
zA{octEUEYiE~yrwSylZG$I5|sFC^B-xKyiqv~yOV5s3h{bFOhqf_BDx@*rX;eL>1a
zcu$o0!;JOZto%u;@zi1vauLI?NF%J7-FgbTmfXgymzZBh?6`LNIn~fT(Y>TCi3PXz
zbe&(P$zuCKiUNgMJlU*tro>JMV!6~{^|OD}Ptcwbs6JJk=85(Iyb!S*R$8tLj@fS?
zpUcY`AwU!NE62nKqeTL}F!4yua2H%TBwhz|4~$(f(@b&&Tsq+YTRLdIVjjVs(nWs7
z?0gv{sj73bs&n$<;D=r{Qo{1j`<*^b7&~dP^ySGrTxbwR2eHK1z1hhXMW{G~$Jb{7
zRb#JrU{U0IR0K#BXyR#Z26Lrk1wGFKYT1F9ASXHZJX37F7Y`h<ft1nfwIx*5Im>v7
z&+z+v;h2T~9B0kll4;5Wh?zRKn;nK@o0MM~Hg~j})04lk+mzRfi|ex39Ncv|?|Cnh
z-79Zq2<n?omFU+GXgd&45y7w}(;OriFq8Uw`d<ett4j+z7mQ!_TFnqWEN}R44@d$!
zM}&4+YZ+@#8@q=5=~?*8qBSCTL7Bt6*rJI%`s*y{>6aUlYuHKj<xpp0L_v7UFWE%a
z&Mr4?yH8Z|Q<^w;48!Oc7}2c4fHyp3mLUIHn&&71g}E`Y9PE#bR;|@y0BfaJi?Tav
zYp0H`4_o}XGH5C+An(?Ls;NzmegeHHUBUu<4>;pT*mq!1)_oyQOszcxufN)p;e`1F
zbN<p2&Zs6%5%&!dP5qy&b6ANOVnLi9JM2TAiw_^6mDd_}yGR?}Oi&tG{|{dLNI`C-
zxS<<h-$Hr4$`IJ{1xECK!uVkxjf>S=p+L-eQ;lXPkc-y;fKZPBCyg{91MsZdmynQ&
z;kQ%CK})=4D($`WM+9U!6TUQ%8$!Te^okoEd3P@+x9)`)$)`jVf8}aeh~SY#gU7^$
z9l!2{7m1LjY0yncXo2ZYs*9~s@EiO#1Z%WNES+kGE@iReFGA3R+*VSLQ)n#AXX8wC
z-Car+3h_g<fyHF*#R+s5z%b+FgSI_1hm93b5&V|bS4nebw<H8ckXZc;TWC*-{mRux
z+Odd+f#pW7y!G6hac<i-X1+#8L_}mnU|o)(z$~^4^VWDd{QI&H3>;(&t(s4pDFtM9
z927*2_vHUlpJlAczLNlH@LPdOtDj4NONx)Lvs;~?-K4(5rP(0xUB03{T&DXt(BA6&
z7X{q8du8XAz24&fwRbo{=!PlV!L@g#zeT?j&tAARyfX31!!6crj(&ZqwpIOc;YnXT
zjMd}Q)@86_p~jLYfxZ5hZmMInXEsg$ZK#b84v145x$C0Dvc|~gV8%HiOgeW#An)TT
zv`hI?_!|)}^EQEn<AaP&A%c^uidRQ^Io*>py6fRKWbA%4r@A=@9qo~$dzqQ!#Uksr
zwJ22&w+Sti_V1NUgphD-X4z$O*KagTEGz%wLX2|;jP<0sG5_?gewE38_<XzA+RZj~
zS!>Rj!kqPD&E!!LYNpL4zx5~t+4gz?{YF{Bf}g^1$vFTc)kZdYjlfo-K2YhJHTM-q
zlz!o%w4*BQbulWJ4k?J&g!WJM*#cJYxU>lJ--hzpmeOL-x|{)~x^y4SRkk9Y@MVby
zPZ`#1C?=}tcw6p!O&0uxg;3ec3JumZ#B3xH=zde-B7lbj{aGGhRa^g-<~URNQq_zb
z8suATCa@o2jaoh?%9>37S1|2H{!@-17Gkp&jHq0D$9wUXy}&iY<I8M2opFR>{<pb?
zMp$e))ev}uaHMns2!S|?snT2-agkH^QM{gjqwvP>#w-0S6-hA`0G*ND$$XGgu$vgU
zT%vUoC90rzkzG_=a1hF|uhnSm1#4xR7Z1Tg1|o1ymjZ|NcDNu^cEh4bM`tLSga@ik
zy*E&0{MC|;nPCGl#vvH{X*a#OYwz9E*@yG3eh(&lo&J3_Xuoy-QW@i6Qc*hT)uJ-m
znHOQ@XX;Pf<CoklfrtTM?JG+irAikbTgTXvaM-u6isEj1{Z3E(Eqw}m1_mCli}!XR
zfRX1`Uvx<cI3&KY9x?5EWxmb;_e-nf)kmZaLlrSPsY`Bo^%uI{tXXn2N4u1-YGA$b
z56mDGxf@v8Kee>@{kP^dao4hMBKY|S;zxN%?=qPW)pf>(_q_NQk8VR>HWxNGH<k&9
z^>%rDJ$W}+VX(BTA|YMZA^5xyOGa(LPCaic?lf%dqRjJbDlZLas`WEL663%wX&Fpr
z+i%uM!5+W<IvhDdCjr%gRhmp5ZV-MOFY}uxKF4#NGU%w*mDt)$WNLTEw2e&L7!hOa
zP^CAb(TjI=K5Doo@a-ZLCy=ar#z{D>Vf<uAF2Hf(9P(aG-3>HGo_nTK4PF9Zi|EUh
zrDSe4KDS7HgGIi;D4N~6J?1QS^!?MSwAI5kZJ2|hxB>TF^*28!yeEs<SPx|1|89H|
zQOxBgr@V@zV`m+kQBW};ZS%Z8k*8i?_lF$DNkzZZuRinHUaZ`YS1uGROEUfT94c0I
z9rk0pT9z##DOam&no>qB5QwlYBX;)wUPkx12iqm2#Q}j-v`h2NFw(%A@d{gmTSmCh
zP`Kt1HseTQQBq2RDugo8Q5pDm8cG6ArxIMNs+#Xvq6)T4v7NIXKeRR*ttoeu91R7)
zkVhp$tTm92nr62K-aCc`=)fTG@=!=FTK75THoy_#wrS13$MWJL_yIUo%A?SQ$B7{$
z5N|0=D;(_Bt`noOjHYf_R+p53lGtzkTU~}MS>wVP{<d(83FgoAY(+%M78}N8TsRq#
zLlYZ&!_Ud@VWC-kzU)@zFa#`nrBc^9kg7`emm^nwxRqy{Jp&j@N##0HidN83)7tqu
zJN^=@IDDW9k9)!f0nYpYL8NVNN8<jV8x?_O;QYWqaH>3}KM+5X&qm>NoU7s&w|`sX
z?a5uj>qC#F&%t9_jdCn_WdU^p{y$)H$f`}T|FxG&rXVESa-0Q-@G!_d^IRY4@-lhA
zA4Rvhvhx8y1z)dSUss}!iMlnqgR@9dnw{Z9@n}-KCA)6`{j7n8dh8%6KQPra`y;jU
z)#otGKOICEzRd6Zf8+1rex{XeU;VAvn7bguJCB+NjlIonC$g%JpW4d(G<~nEu4&!&
zUaupGhNw#&rhh!LK^;9O@n+l5?atKgcorKHZmB=BrvWc|c1R<cf9#Y4UmB*Y)o96J
z9Xtz5>HFFav~yRjJhaHgObD~O-PU$`>)ovW_hOoA(Kwm0-*eMLp%`FwR`ToJBN7LR
znAZh5GI-IYhVRwX49?X8`2Er&>_W7S#yia}HI)@;qmr`SDDLK61?FYSnHRzNKP*;>
zu|k|FR~qXhs$+kJT<aR*k=F>$J@i1)V^A>X9Ss4l0LL-&Z}S~32myPWrh|LwJmhy=
zMQ-nx{Bse}rjy^3pA9%v(c}_-!GMK<h4Fj)nMjJpzN$j|;4{I{05x+}T!9rC0->6<
z<OlZRDu(%z4YNMH_`wc&?kjgHA5-!z7b_~-9MRDYV?N<t-X*u2^7?42Axm7X*BK-Q
z5f=bB#1$pOF%&T^H<8g24-I!PECXbaU<|Rs*Gs*p;t>q>o_+T?r&j*Bci<i^dJ1FB
z$V~_{8PjANlCOd~A%mjS*O~)Y=sO7qcD{$Je`ixx)kRnn<?4TLF((Lp&Rv_m{N{<m
z?93J=uW8ROcz}mX6K-ccvgn2Yt;)qmzy&yq>26qCnD_IU-afqRqLlO9I3J~#;W^Va
z5HC)%{fc5@R$B4w_yz89=Jm0xSdQcD>u_|#LRs_eunT0qb@3K<!+R{6%<d+%L!*Fc
zdb4a~jDEvu<IJ^tt$CHX*1e8|I{16J&#_J`z`hd%BgXd@G#ySP*z(#DeBQ_|8wD1O
zs?%r4p3dD{u+m9)OPkaGiB}9`kd`xz{k+^VuED7g<AHJ&<`XMESpBRR#(@N|e~QLi
zK6tau2N4lhYm{>g7&p)FQ2tM|%_B~#^qB8>Qt{espYj__l^Wy5gAd%|vF%OW)$n!l
zQJrRjJk=_%LLavWacs&<{Y)K)fLIP`_}zdH16HY`h8CN24Sr$EL6rhWi0{mO{kz8B
zAgKfdh|C+iFrd57?8K4u56~X#s5)WCV+=f)8_U!EzAW2|bC{r;wLjE@7jQzicp9P3
zN`Sz3U#X?DZ6c%T9@V!+%bl7(`**Pg7yPlN#zUL#KqGec;d1IaUFe~p1>7Hyq?3R2
zlK2f42Ed@$))|B4Li$y>AI3!K=#p(Uc<*t&Y6~AxZgZVV#L;;oQ+af1yo^Ijlq24k
zd2)>^#&gNX_c*2FPYmTs$|s8-uo)k9bZBU8(UWVD)%&oA7$LEI)=RkC<Pn4yTOpTp
zSpU^Nc2wRPa_md5J10Mt2q6DE^}4UFd+2qiqrBo0<lfBOd*0>UlTZfpTl^n3R5vJa
zbQ@bbu?{qFU_5wD=!h$lQib#+;e^2j0pB@{<mrJjOTGIqGNp1QRC~y|AaMOG;lNS2
zdZ_KWzxAAs2dG)}@iDD4hS;qR$u@*cPCh-p?qn3G#0qIQ<)qmHy#Cv4V|Ct6hW`F4
zh=SEVE=5Va%&xDq+2yYAb($ConM~uE+X>G+hpmMeDPbPwG5smDA>HZ5+S(ir&z2T-
zBvxi^(x#U;_wD(%a=<=&*8`k`ld{eiDMgK#e!W;bgNQI316h|lhDsDc!H>YzUfOmu
zc%#o=F38IA5}*RQb0ohuK2`oKm>J4o8V=q|+B<h$mvi@tA*bkZ@Y;_GPaZbYPF9f}
z^TLD=?pkkM!*$>weD>D^^|ClGu_yGrze8s`I~(~)V*v~NIdF7Uh76kKPM0GN^Rro%
zUEZ%jm0R0f?a^27Eqp>qNl4Vy-7K@5GznNTuiw0l!UG`h9TC1^CCtxi-Oow|^`J5?
zpzM|PCNI&|#r0_9Sy!3=PWHuH%7hWr@PWC5%6+Ic`lcDALe8lg`3|BRKgV&HZoxZ@
z&F(t5v#wQ&g&ARHjCG)I9GVl&u8V|SeN4oHjM{JROqJQXZGV{Yw=Zl{dzfBQt_JS|
z-OptS;1@tEn5M;o-b_6_z7SzVQ$;~by4Yk$ALZV~+_a0{TugW^w-%q;Ro81yovh<6
zoGTrurcr(<C!1Peg$bYTqT#|K7g&-l5M}~@Ccj^IQnfrUe>+Qp2oSwWb_+tlZn7ht
zVJV9*#^}|W%wQ<0R2BFc%2z1u|DV*vZUI<Xc@BQP3oa=UdRaoOVbQ?ZS{F}udRkXp
z18d!e97uco{QY0f70GZ_aZrD#_k`fw7_{lVr^NZ@^eeQi`WrhlwlblXS<O^DYaaoZ
z7rjl!I8o?tc&3=k+Ax=m2)>jhZp2n@#M&)^G_F0x<bm%D6y06!ZBE6)%SYn{$BqEM
ztfUYdJZ!mLQfZCSNTB{^hUu~GMCLdVwsa`*pW|xaGAympzmA${tL5(U^`gi6?c<3z
zQd>O2d*am$3Jd5`RKnp|7h9{PZdOVu*Ly^La+=mSTiYc9rn85~Zps9GD$+G=>ta2!
zU}?3Gjt;V{zQejCs8w@GI2{tK$v40{T1lg!;b%#0Lb6kdb6B1{f)M11Yig{t#QWx7
zs>)%WB8Gv`U6;=zsDNin^-b9;0`+kW!!Mp5x2G7f8s9j>A=@}tgD;*A+%a3s82`W%
zm@(ElV95b;6bNmXhW;tKHcg^p1w8EkBp+^C`bQn^z+5a4&Qe;odrYbXK9oie&vB|i
zi2qU|Dv02fy@~p*d*Me!E;9JGzXeGyZ@S1vgMtE4|3V-yB)DS6+Q5N%#&PiSZPc62
z@AGe+8B~lXGv%@QZEfpInPSz)VGsk5q>XfH7-*dn;ox0_^lF-opb6&T9cU&?K;ykg
z&cCIrWnNylO!iIEyZYiPK;%u0QTedI=f$A<ru4|EP|YCX5EZ5Exc*U*9F-#8aK`32
z<E;RXPciRg3Q{pd!TL%}C24VNsM$M)94o@UA5r!S?_p-zbUpFI*DaaryOUfIXU-az
zjhKcnz}y1a;uOErHCcNQ%(Jt%x3{(RO#zSPS0f(6=<xmXg=RN^a#%nlRKrOxD9Paz
zW9_%ONXDE#czJX%eyawbS6Sc?JS%)Md&Cr%i#PT0dF1YQv$0ctH>;#dP}v_25#{iT
z@_h!=Hv8T~z7~(afyxhjN5cHL-wZKK9A)}MU5+USVPB+#)QTn3D6~!WM>(&`WihGS
z3`r!6A6A`en*br*U;8_6Y5ApYckMn#<--TiIl*OJhgCb?dljQAMuuUe46uajov;YI
zXEGBCpXe>2Mwwk+zCNA(bJ~?a$KnN5;Ru3_(E5Iily)bUmPBdlrN!^mHsK80QM0jM
zx15=Aoi<xYW4*_$Cxk$;O%e@km1($n;Y@vFf)U*`FEA60MVypVl^l0!Dc|b!-P*li
zkzTWXW59$MZVmaflfVB-%L!<B<ff}AEja|=UY%{vZAn`7x<u=!0%87MkL$s=;o%*_
zSXfxhV23am7;OT9+?}2E!uF8;J1w+o0ZAN^PLlslC4h5tb2D3imBp=mNglHWLc0K0
zKA>B!A^yt`IS3Mn!yO14b%cH-9UjVRinJdW76AV>9R7D83MS;2XbJ<jA<tWKmZOU1
zz?rwEy@HXrBlw$Q3CZ&vJVy$@CU~|__P>-5x+HV{z+qo*f=#bpeQVbp-GphOxco@?
z4sqlAQM_hNI*i94(GTT5{Ma@{+@ilXJjg&)Xn^hoVHumyZQUNU(g>PYlf@`9UFJG~
zOGWGqN92r6de2GEd{-Ql9Dw;ZsJwdGQuho#999#xslK41{ksIG8Vt&NR%AQ1Yiv%}
z@;&Eqvy<FR;A%n&?AN|G-%>tm@xRy}eC{RLvdZ|hiO0B_M0PnuL1}aB!Mj{}{15nt
zL_xscI4dO7swM1c#~!n_@$%yDVO(+faIiX+;ebU6%B>yj?9|ok?e$tK;2$kI9sTGH
zsVK5bjvXy{md7z18h^n+<h~dk+7#DwY<-E~R2%t3>xgN%CHr%{gwG*OMH^01o3ct=
ze;XSHP863jq^^&2EzQirjn$z|$rfnm#6(w(=Jl^4IJt4nvjBON?%t<giP27Q9j`Z*
zug4p+NiXL$f;>zE*xH|V-8in^yOihT)edbC$g&HUFUs0jJr7U>c~h^5Seo@eo;&i#
zJSwC&{S*FY`%j`!QS)9Uo}-yVtg31coy#}xctP3gsjcYk3|9eD;%qYOhzl^I)^|C7
z+qjt}XfRu@o(%t4yEtx3&YQ`>spfqXsSe|kdV#4;u##NEq0}w2eVd;EG5Qn-No>D?
zaDuRq(96#8o>%YCuEa)aH96-jHsJPncH0qV_0vBEV}-TP-NU1Q>)g8jK`|JHvZZ3_
z^tN+&ZW%m`uMOmzo&uz?{eb+G^hd0T+viGckM`Bm{2uHN*cx>)mBEtJN3l?&iEOD3
zMHoc=h{>R&`A|$+^LgVB)#`MNT2Tl{Naf`Hg#jUkBH;4y)p%p%6N62oX%DvGI}OWe
zUZ%$%p>+7Zyn9ldI+m6^7IE@Y=E9sNgWK`rvu5{rzup8xnC|I8|1$x!4ttT%Cg?S*
zo!_s9iWj}-<OD0uqoek4W?|1&aU2z)M--b}vlZUX&WwiLZw~l0<^R`cQUzY-J9!1K
zxA#L?>#E=Od#sZOB?wYn0Hd^(Xu!Z)Va<rIhSXQ>L<`TRFA{H%y<Fjc^?GirU5Gow
z(VV~M;9=)R`3bcZr~;&D0wB4%-l%OF!y!K#=J{OFG|-7*0!7|Ptf9rOuj*WyN#uuU
zhzwv;M0>>>YpmZCHEW7$|FzF4uw=1MSg}_1hlUz~@uZ;FMlx@rGK<6C$?3fJf<29s
z>DkK32WI_u>)#G7|Cqa_j^(vfIU3OKP!ElktPdwJ@ov}m0Iu3E9n|rEd%UEzmMXuF
zKM#y|+Bd|bn)wP>dbr=1!$DTxLQoaGL2sr$5U=OUg_1yi91=F(M>Fa0a#FH9{ZB$m
zS{d^@`t$_iRuS2#K2s1ml|;jh-Eo}bs}b{%T)kCfE~AFqWGq+hr1-;Oub5US;=z;m
z9&zWhYXw?9@Jvo1zAF3fuOsHikXi3y601q_=Mkz;cU!OL?NQ8ljSh42R!J0im~n-G
z?{pT`QlzFsRI6OzgcFyLoW5U8lW#K&{3-k(I_;pL@XNo`J^7u*KK!&<A0y^m^5|(_
zXf!&d#fS&#H~rD!#d{}Hnr?FV5&Dmx@Ffp7S8k#d0S&w1ub8wCo5#D`q8fAVr<UsK
z7xk5^U~WA4VZF|D0(x_1+EB#SL$XtK{@B)^{%3;=;5?p~m=Lzn0xtisJf$2<gVR-E
zZw_B#LYTYn@!*gW3BqOd;J!`|5E(#MAOV)>M|6pn<0O_GjSru;1U60o-6A`dRO*<*
zU;*D-v7Hct0?GKDTCFq0WrE(q(0{^Wy?y>2MyaB@A`%jSi<|7j?l)yvN(~3;Ysi+5
zs{Cg9@s^$enf0<=<WKAAA4)<_<d4dqNrg*0Thxz2e!?QbLM=Z;oYu!WpCmQaTjGAg
z+HV!bK*ZlY4o!xDzIu74XE|?&eUzxN;7Xth(@-)N7UnB%(p$AGsn~yy>~2ejxFS4f
zpS$B=YID>L^GIwRf}`r8fdL34rLG@_OFs6`Z2R7x_@8dL^7(;;cO^Te$8fvmDh=98
z=Ws`)QAz`|M%F1KfSBw9`3v=UW6#$~+XCshT-vYTZHqucUKqaV!-x%quykZO6au*X
zW3-|T_+&!w9qglmZ$taXB}a(&M1TB9sQlOd+*OZ0@bw)zLbcZeEv=Dp@?7h%=4Aq{
z$?1D6`JyTZxv~Y9dK=9-e)B;oR-Xk%8y)_oJ06T1MdzDb4p2Q}D`(zuK2zO7KiFtT
z&Dk#c<CnQx!%F(;TX7fy5{ta8vQ?lyWjsat=0)>{9Bt3W!=+Yl{HTsBT!grE(CFeU
z*hp`F=~7I5_0cmO16F04YniL#6EUS{e}D*d1(>u5dc6R2pC%g7X}jrUduXocV!s=?
z>$LmT3VMAn$G^sSF&_%*`<|_}hm)5jY_L}P9!@>+#i8@HrKALG)LNB66a~H)95Bm=
z(+y)o2)}f4%(PV}!mSBT{ofWTLJ+F>FfP<6d~WEsZMzg>SSG7}P@~Sti+fL%ShR<z
zQ_ojS7LSQS#1bg}p;LH@8(ub;hT_9Ubt{=n-9)Jw|7YQYYDl0l<8LS|OmX$%<YKTQ
z&*i!`1IYv75t8u-LA)?P1VKzvITvI3JX4rl6ay7P=sI-2lKiMLDtISte0=pc8l_&R
z=wpu1RUxW>P62&AU9mLJ^}gyD+Zunv?NT<AWB+fd8~*_;BuF;gl5ubVsYHP2bS6Jl
zw&uoVgdphyD=eQQ;nh5eT3zeR+(5WU<AZZWp}4q0{c<Qat`Y+<x>w;8rzk`Z5ZnF%
zIe!7q_4e07ke8cSQDLfn%^z;Z$XEzjab7!kYB+$s8*|8O&ASNrj#~WVv0?i<WZNfr
zg0<_>&=^(aLSY`}6DQv>w}juL^}RvIV_v&d_h5Hd7(fc1EMxT}5$bLNxOTl+gQppZ
zcZ5g0a^KL4$^i!KmOkzfJ%iJpDD-#O2-Qx>M|x2KvZ_B0Y%!15PT%CnUXaJQWtp|w
zkLgzo{h=xLx_kL6#TPz0e7e^3XO_PdjZ}bedu#ikv3pLqN&aD?<gC)bUc85&h7xO`
zto*k3PgwZC|7!`hZV}g>#s-(hQ=Z$KxZl#!rUJ89>oO-9YZW@?X9^dhcUPr(ZDeIB
zqYFoNmH6o$!jOPKrFIv)W9C)+c3e!Y5$ojEa@Z;jxuP;NoBNftV^8L?_d=b;0*|?L
zH@CN^@kim7Y^lphMc_Wz+<Mafx>2}C+4)oj$G$9hnU;nLCLT}SH|EbBVZ~K^i_)2}
z1umf+w~_i;h`+O;II?P=)l(<$SbBa1dKVY$9gb#ZZ7;_z{!){GOF|%Vh7X{xZ{o7Z
ziEK0Lg(`__VG8geHvGy!jD@^aql@cq2!twWiHQD!Ao>%?5I#r;ueu<95!9Kq&BufA
zT$#M#+wBqaDQAXR2xiAbeSYa7K@OKH1bWM6>?`bvp%4*r>Z*J+a@3U<pV2TB&f#YK
zFO!!aLh4S@#V_UbP|j9#LQOn`_x!(%s_8{6+x=V0yprfKuFX3ZlaIY8rL@0_OpS}^
z#rckia7BIMUdM{P{AVU046Lm+(_TH>NqAw0Aa$RCWf2vu(c!<x*~r^&4Jxv}08E{}
z-xEa|mp%A8{r;O$I*04)>o&l{RoI$e;Mbi$&62bDV^lwmtw`1l=lOwVXU5&FtIeq+
z{53&(4cw1>ujkP=&j}70-%hTh%=F5RoK2X8Q}uj1SO~k7{|Zan9YdTPe~gaJK@)8J
zboj-o<ns~)!mmct)K%x{Q09k#!N)vXf|*u#Z+(R7%nXML{Yr<m3JRqov#l?W_hrPS
z<_U=H-C@rj!fny)-TDQmTnFSl&yJ^O=T%NMR#6zQhX0_7k<j7Vr6Fy5LVIiAiYFGw
zPHZQAITJUp`)*qqBLZEqw#AwJ`!>zcmG#Wix=$lW=zEzDEv~h#=%oY4VD$O(3wawK
z^Wmg={#+#d*Ee+qENUa`#6Ha7m{P88N4vx30u`$xOx6>jR4Pwsr>E8{|B+X+#RB8q
zEKiHzcX;oC4|xkglCU9%AKw?iW`#VJl(3An=~tGPwD5mTHq-V%D*tb!y@sn;v!$|J
zM(ylzIrwh-8vFeNT;K0U^AZy4*q~@3X3Jx(ob5>5^##&)>9`&IC7n-5f8<Q&oZ(DD
z;nX|0*Bfo_DI{I~9h+>;rKt+ROl*a_gn#Eu{6*!n_QX$e!>hp9K7Zrt@+wO;34Ob(
zLudxOcUVL2TM;g6&YOg<wc?wwC}@F*ojK~;TT;i5q#19B07u797=oVfTrD-Na{@jw
zgh5P%BY4rs9rwA+Q=3=AZ@ZMoF&H^vF`WryR7~zAI}I^Kk;%iU7B}1pb)%Q{86vP5
zkx<7XREv}_A+QlhMS+n4#M-WwW!e)LLm9UXe*DG4F2cDQ#q|{>pX62dmi1C|T2(hi
zF$E5UAD3V50DC1ROvW5?oM0?R&)e-v!k%Myop-%@ad}iS;C`n0p<(JCZU4W)S4@sX
zD&Pr$2tS=fHQ{^G28g^Bewj5fks}Djubd5-oUO{3p-hZbrK&1_y*PESANP3O03HS!
z{2$!?ZtiQAx$apOJ5#d!o92WE)_mCn{T)0nHjn`EWKI5!)|3erq2mnyCT^agmm9!;
zFth!7YpSdhpV?t({PmDBa&+6@!N2+OUnR4A(WMc`Kg95T+1uW=m0#`a`$n&;QYMrv
zapwJ$HL2>#xd=YU;S7cKl;nw2zxq#a%W!SHn(#v+ZuHyCPTRuCVIaimzgp!q`Ik64
zidTTm62J4E7Arx@t4AZ^;-%Wn)0f=>yXWr51xI3u)7yF)BMMl%M6P%6Z#nHf6h4kz
zkjrv>fDh$L+r6kEP?#J#lqg49e|^~~jXlArERZn4g5bgg_+AH_*x0=jn~^1TvE1IH
z-4g$PuQ|)9#ek=&sk!=i+S%09dNEo^YxNUYZS`OVmGQsp{`bl~jeLIg+avys2+oFK
zs5mk*On1UYt$w9Nd3$q*=`kJ;<DU!~oI6Z-hIy1rbD5~vpOviVp?Hmli^@bYlegV|
zLei|QTzftz+5MkIwI<&|;NeBE6);w04lk`7sp-fAMBs!QEDI04jqKNKgcgfOfmHu`
z)wHkdjG~(|khhCmTEezjH_vp*YA!)?-vW$((`LHaf5I~mjS&0#E>g$|gQy6GVu#~<
zK%AhbWXI!*#II9CEXjH`QopFt&{=l36{Tnhg%oQc_3>EnoDP)2aPbEH$!WkSgc?G}
zMOcT27C@STSlQc?ZpjLjgHvZz2Pi)t*DX2d&JLjqXFT(?kNW)+_rapjU<syuwwQ&^
zSZ49GqZKI&3nMdA1zh}k{g=XYtF8{hIWun0Q5k#RSiu${kh7&RS1i2rDMMN3?`*GO
z@B!QVz!)}LF8QftT<p%$g0YdA#u7#UGwU1ohK};1jPF4#5=+hmR_8T93!_?gOy+U4
zf;X&4xa`z=HgIWw{Zv`G#V`;2MGOqSMd+=`6d?Qsws-`YV%p-X^F=m9LE+KYj#AQY
z!d{n_R%%}E#ubhx$Hp20Dd!$qs$|UnjMz5V85U`A4bF9wvqq)WfIAzuQTltB<|kVr
zp21pwC0i(^_@51OjyRx2kh#Q--((Om$H6asU*mqXtm8<)ASDLX@8$Wx7@8q)*jpX>
znS{og2i32;Qorm6wc_Zt7X@mt(>z(|E$LplnK&j4bIlKK*{#}GgnnA9PKScV>n?wS
zem+IFS{p<`llOCJdc(&@C=uON_QlnvBs~<b+xIiid1^WQq*K6ko35Q%y-Oy=+oG(=
zb{S_^9zyi6SIagKb^z0qJ6|_*uhe{c0|@UOI+~{G*6f#P6*HfH=0|`Ht%aA55UkkP
z*vDsohei6xKR$}$9(L_M?fTluZhD<<elSXE8)G)ZnQC@F+T)Z0P!_HJe(ub2B11l*
z-1F!8ae1Yo7YbnCK11N0|IKJ!TUz#r6Nh2f&s(FzD?uLoe~B8DUfNtLe8&8uVx+Aa
zA;zguY#K*}u7g!v&4zttR#ifY;7SR<9yqVIUMo-Z)yTBV+m%jQ8rh=xYR+0&`Cy_y
zovrEnXT*j-*wR`}U6O$<Y^NF=WM`x>z3FxH=$>*SHc$YsZpKjHF13U3LGS}bu-ubT
zG$-V{k_=dCM{z2@m{7f@n*BKj7M1+~S$ZLHfvp^&wZyuPo9Yu}i}L6L3Q`NIfqln(
z0$de=-Y&g1%e~4me6KX-?77xWW6d)dQ~xsYTV4Gc3=v>X&hpywvzI_d7OE6hwmD93
z1z!C-*MQf#A4(Zxr%_A+r%xJFP|&Qlk|c~9msM!~F`rb>TP=C#$<`be3FjS*k+jO^
z?ONsia^XkY99T}Cfy4s3w@o2C{H;w4U-K91mb`Fx0+FZh^c~n4JuaR7+I?=j({4N5
zp6-rtROU6tzCPTn6ll#_3Ckf;gxl^Vg<FP9dIR~e<;pO>Qk!qPEZHj^R_zRYPYago
zM&i+fgzqkW@`AVb4-B2Og8~q+@Jtffrqxb%Z9QB%o^ODb({h6`YaM<YUL@R)a%?y~
zkw~4_WQrEtX6cqVMFrP<*{<)7lcVjPJTVC+ex7Y!-&{vsd%T1_K8vythb=|p2K3h5
zPy%aDyZ)F;+D%8L&RjM>cD6axiP3Mwn1-j+6k+SNi&qNj12qE@M5h}_MNqqptq|XL
zw0^`(+jX9W4X_aDp%TyEH~a(I?_<e?JBUCowqWW2tgZqs?A`T(q%Lcp-RoUg-aZ)s
z4>U1bVHjjD^rLy;3VQIA3?^u#oSYW`R-i(wWyM}|iMn348V`m-fr2?doCRx}$W2BB
z*{tUi2gTRPt0?0RTxRqo6<nAws>Cmyz3x&+KTB-<gq-?6?%n?LQT5BXZ|gNLaKQbM
zNfs$0KciP82<v?nM~5XZ4M!@0ef)EEx;5Vd5taP2*mvI|l0e&R^=xr?tVBy}pk|)w
z>KL6%aWVEyb9M&Y(Qhjj_;<3uBtHD!+Fgj@f*+DzpNK1hz@pg6tN$s+%aicgzFZ%j
zCta?MWoXcR_$H!l+gP`7izs!IDJG~o6*)vw{u!x$KW8n<7WE5m<)ftSR!wM<!$-Fv
z-n}H8uyxCmJqj8Zx7NJTpUFsn=zsvseI+l><o4RyTB%slm81cuF)$1U6l}CDcUW#t
z7IGoMikm{h%SuM^OUDycw3DCt1cSkBm`*tmwDGri$_rMPiC=E@7=LYc&=gjY^T4ny
zZ@=Z!=qvh#uj}8uSbpsIV-ChtyKf9eB#|&*oz+I^bA3s!{(yr1%kfMvU{TA15qCDh
zjh^)~p`3_#K;Guxnkn$_0|o!NzW8q)jX+~OBN)8XovVcb_7U)SzB+2)gEk3BT!lep
zcMrMpG6r5s?`F%747*8D4gt9Y{j*g~NvYdfTf+){JK^Wjqn$dHx83ts{S)mL&s+WN
zbezL!pX6OteHw_x57#*WlK|rh)8fEI`p*s5Ba?~#tmQE$`LpJiR(ke!$rgne&gD+t
zs##g5Ka;uB8tj{k%LEQ7{!GX$HW0r@4W)qa&`wE|b9{T~+Oaz>ch3C2VGV6>p+mw#
zu9>!!C))G(t-c;uJL@PZ0ka0dus}b*=M&?W@}=vF45mZ!$i!JdJDD2c12ws^G<b5s
z&<F>BdEx&KC;@s{e}BJ4<?6Sqy9x;bEUR+W6yq;L2bj6#&^fi6Ng+vJO=k&lR3fpN
zeOa%SJIRlf8uU=zpN)jkGdI(M|L!*ij{D=2>ri+j$vdLvvHs>vU0{4P34#qb@loRL
z4pB#`Mhyx80`~pt+~WcZ$WGoBAq=CHH`WdPN_mtG=B)uS9+QX^>zA=Mh8c8tv^Nps
zeaEIFk2&J}i}2Xm);gBo;6HTs|HiW$FbZddfq?{D#3f~t+?jmn$`M}q&6Ztt8j2%S
z^H={M3Sl^M2*Kt<;EaaI%?b=Q?<w3E2PB(isBM`Fz$}Pov^?y3|CW)%roL%L6X`4Z
zhlqDp`O|OOc7mRpnTId7x4)*YwRx$k&p0<$&5t<|8Y(55C7V%%Oj|mOi!2?3tip{)
z?xk+wC4b3(3qUuBL%Q;jWT9uXZN3@-tGxIj8+Y&v^wF<>8RTu`#Svp4q^mp|hb7}8
z<f?(PJPyx?<AkZ$n<z7hpW%+K@n+ov{OFX?@OEaE`W2*rADe(I_oYgp@%U;)t<bmY
zeIB@g1&IwP2Be6EtS315m)+fUths1*kXF(X*I@8%hm+&|&f(#X^(zM%Nq(M8XK{L?
zfPmbEkrv32*(EocaiJ=#9vO5l=(p)|CjmA@c*$M<x+zSu@~apeQE#e}?S^U83NdO1
zoi^LP-R8Dg{E<%h!=lnVMrnNX6vfO1of2jK8);wh1xE?M?C@*UVN4U?ma+bpQ)cmF
zr<R#}>@piaph$hA<fr0|iI`#F?3bA)B{+)dSp$16hlZtl-;;D5`$Lp^_iCQe(_)~`
zdgZ#o^RK2h=Exj1q>hfZdwWVz*zfLa!;+(B7OYGFfugr7J6<ne8Vx{{5!|xu1xSG=
zFbn6R)?5qesawoJhp1WlC+S!09iw*=!fO}mve!Q;U^R>agS`0ZJPWbH*v9NSLsgWt
ze24OMy-9tk^I^BD7S`>hTfcvx2B0FC-vb%zAd|PBKeU*uvqJvpDP=gm6ID`Ww>T<y
zo*2s;=J~>_x4$5_7PG8B_N@DWUiLZ7i8=mPPRmZqZ#1h#2aH+kW~D|>E>eaMwDDY8
zA=nsC(!oyqVlgM5&O$I(Y{)+Tjrf&19L7Uam`EqNmYdlW?D9Mtj6p5OqY7jfJU}B9
zcv_Lhl*kk5f(YPEvV1Nq4(lNnlQ;q3u}zCxgQKBvUx!x6geQW-`tbhW0~irC?bd#|
zlt1!*A&>0AZ?z>~n@YWcRpr<0@!MazDK_Q}vzh7XbomWS$M%i2v!C)ec}{L0S9X01
zFJG1ao10;8ME{=N%51CyqBVk*?ax+r1UNs*|32qYeakhM>3Cj1#O&+$;#09AZM#3Y
zemdSA%p#Sr3W%%`SZ<x0isQ-=6SJGXJk>{yb)ih}Sa~~Ouf6s<bhm$Q=%zQFFCmUu
zT_5X`5Ss^1CC0fBvt%9=Z=X0jU-fzCm48_UGNitzfY<XK22B_c>n#=gD15iJW>=u@
zz>NOkI73mz?Skb}!~2mHOQY4DMds(wQZfeF_J|U`ySw%XlSixi<wPTfclR05>&gCT
zl$rWn8QC|C&2uW6KLzKqIM|~F*X}k)eR<NeD1AQXj_*2NoP!~Ml+;fSb2$Q`%xS%4
z%^9;22MP*P!VkN^s_)9v-Tk4C0oh(e%m*{$eAqG+MI?wJWk~o~t;&y{#VYbM+xCu-
z3$NPZZ<X!kU)snTy9MsLjZWRw*O-R9sH1n3g17EjmaNMyYPF|0C@-E<gy~&xS7nmT
zK$YVW`XDF-QrN@a@gnVKEgvlVFlPe~ES@p^&B-C}<Jbm}K95HNFL5x@;clpdx+_{M
z2tslcwH4Gz&caH$s05hPxrK*|Dp6wSOK9aVh7y+%#3Zeca}RP5B<b&Os5ZoBZb^uu
zVgg~v<LF?g3}=k>jMD-Zi|*@%gzGVI#+=tWSsc<EV7|f$<9(OLK1PG1jmK6(HX9R+
zDo30HO(8%}oZgo6m!qLX+M66$H%mpVs@zW(PFZ2a+r{I=P)WsX!Xgjr(E-vGJ-6q_
zlXEB@5!7bFqwu`3&U~Ab5%c>*{XFqf81J6VVtVS_DK}XNHWBhScq-FsQS!5F36x0u
zN>M~?$`9o7X-n~u+OB#=6W+tys)H^k8PgcVE!4p1u;&~VCyTiJL(2=BUcQ+&rSTL;
zr`G<-#l^+hnIo7&#VwQslDGW-fm5x=U<roK>wi9|*w@Ww#&(BP4un+6uUlbZvBKd(
z&#N{%Q4VjA-M$uiCxqSGYj@lhhDFt`9G70d<gK33p{ORHZ}Onk&r)8T)Gn=*vBt#!
zsxD72>leL~4Nn)3++<G&=lyHV+<vVK71k2_8Ce4VZf_HghhU{AF+@!rfAG=v7Su=I
z>i>Yje78|bw)!c0Ym0+SGR<p;WG?@C@YQWrgA~)}(FqWituZ{MlE}55n_ZfPV!$fr
zuD$Md*!jk%z36}Ynvh`n%7X>LG#qCD)}hR(V>LF~HoA;I@7wel2`Qh}w>CgmhacD7
zQ$oI-AiG@Q%t1GU%oW;P>!0L$<}aFa_RS5q3X|RKo(FoCj{fSM9Sj9gef$w09@dpl
zJ>wZ>k8M{q)Kd%jBI+YxFho9#q{Smwr0upX`1$alqw*=P`EVkV!%KfI$I?LpUUn0>
z6=S>|@Mab_Dy}oBRqj@p$3BMulMP_WR@;}@Hh!D`R7DwMU`l!0ZI%L1X8se7xo1BD
zdj0FQL%xi4clh1~z0DFq(oB87sxma689g$AZ5h`bF+h-%fb1(Kj0oP2Z1M2T^82M0
z8joi<k2Vx8RDr2EKhoU}GH0MkgB}ANM$~bfqy`fS+mH?#C`<1Aca`Lalp!P}h;${@
z>-nz`Coz&?FefsnR@RXwx*(iIyqORN&yZO_fI?Y*Umzmp=!5i0{UiaZ%L$Cg(0$(S
z`v8`32wafV%|86^9BOh!`y6w|I{x~D`<DnmkO|fvgfc?@=9Eq|xdT>IMiOSCIxxkS
zt$FgIX%WIF-9<eaAoDXbvTSR`xDJO*dt$oZM}6E-XH^wL)xlp;NeziQGL$I#v^+X<
zEFOc3*cavygg?vcnk^!wl_oC8ER@O+i|@aSy;M-2ga;22Bz~43%<<y73?UHcQN@3Y
z!uZS^(3fB*esu?&ZymUnbmX<&3U~4lpn_Hsu%jCjeyll5ILqukWO;Qp==VfI`#~!;
z#I#*Jq>lSN8bYwec&477-b$NpmXJ_Wb2^D2iNJGrw=Jfgf3vP)Y3(>3+4Exp9XkX9
zTXCHb)?P=3P_5u?gn3ZlEUT*5V0SD6!OENV9A+SgR095<`~told<u3)3+LX@QRZQ~
z84RJ-aj6M&{W<>DHVVkOexk-y?Mf?ia$fM&(HbwW_YZ^i#kOZxQgObqAQoj=qaTOH
zN4Z*35i%Fqc5St~?`|+U+dK8^nGMPu97-BCUdW|Y?O+$}{`GoID9~dz*<?1-r{7|S
zSU1;87y-gBhK^HQBCh`09sadG;O)T}{F|IJz|l)5(?EU7ZJ07opeQj|EA!#$jzv59
zSnQ`#>FhcGLNt{)xPW;gK*T;CJv=S8h^nd8qjX=o!9k|3(IGe9gEHnX<7B=ax=g3e
z2MJUQOG~XfD`^F(<9nU+R_;8+?jLXecbNbvk%GX!U32XQT_#}h7FWc~T7Z;{n0RE*
z#biX7;flgk8xOv#xA#q%(e%G^Ll{VeEb>4wAmDZSe7k0`o5CD69;L_}>|uXotdPk;
zw)(R)-W?<w!M9U~@JJH|<eR>T${Ks0x{$Q(t^_;`3`0FC0|W~jqGhWbKA|{s4X~~q
zU1oPdMcnIF_uYEV2jo>`P?kB>@UtO-y$So#`f@W8@Ppkq&u~DSN>oT@t|49AhDZcD
zwQceFKOE`L2gm^-4f(qRt80x?HuVC*bA;cr#fh^P!+39r$|^?R3@Ikey!q9o0rOGm
zTSwQ8(c^0JETk&?puFSf0TH5x2p|@LzTujuK`&^q5frF8h%^wmavApimTj)IXd0VC
z1;38o5FZD}ra)2z>`gFl*PAO@;FPfU=Jup0FI!4Nx{^~2w6{+KyM>Rg6IH|$_wF|~
zj0i#@O36FM)pU_Tsi%<}py#7i2fPFK{u|-^vEg7CCir*Q(lEQq3FI{U<bYwN+@!H!
zoZV7#crG1VU$}I#nM^!~JRAe$Y(LLO6cg0(ZEcxQF0QS;-huGX9kYS0=J^6`?bfYS
zzhW5eDMtGqIonA5b$3CPyp_*Z6XVKIQpfe8QoS8kcDb$&)JU`^Pf9S~$w@mL!q4Qc
z|Kn1*EmgfcPYn?`>=qUzB`t6=w_mki^=GSWz{BOr|MJk)UHR=)kVrC>LfqWzI&Z;T
z9|Hp$GSBqs#%Pi~(z1@M)2G`0)7-3rm8^HysxmZbj2{G!Jq9wtBVXexu`&OJptxVr
z8)I#_Uc+q*5w3P+;kuwbYA@`WJmOm2Y~gWu$yj?q{}+(fP@k!YZgRR2rI}W;p<fUO
z>bDG)xwCXHxUbI+e%<miOiA-HM;addgd@2!_N%p<6rm8?^0E-Dpo)rbVZb{Yit>aR
zXEVTGf)!p?T+<(GaL-42H^{xp%$+6==6}x3MIHLQvaHe*Fuj0%s~PF(u9e3ic(!*N
zsB(C91zg?THC5Q0w$Jj#fZvh_iXRw{^$J;Lyn=kEl5tN`SARnU`I_)AlhvGs0F>lf
zm&1_9nAB^S2=ZbWV66Pw3w26kL4v_5#nV9>3Yx+EN*uI{R#7Kuj!DKA-rWaUvLaEH
zzql%wkOX+1;o?CsT}nhG;sXZSZ=8m_sLmq+JXJqEW$;Z`7YL8zA>jT9gNTbOJ1w_j
zfBne`j#^YANh$*JLvH9^cWumY&KQMUQVfj`&ZL;+zTMA*j@+i6&We`uts28%@NNVw
z8aWICY#YwjU)bz`t6vUO%bSt`dxs5w*fyKUj{*_>dnnmmv^SY{;bD*mjCD-hL>)+h
zhEuY;1RFkfV)1yo9H@F9B68syyCk|di@`Qs5h)r!YZyJ!%2i|H-g_=E)y-+x>eLJF
zf7zbEW;%a94g<m8))jlO&`w~D6ta$xIVQ}*$9Jf5!k=L<4NiD~KbP*IP+|;=HD)WT
z^2$S#CSlN1VAYlj{69+UP_Sx87&!7pP<}^3LekX<H?Gj0aKFHG@}^xT{j}GpY-w?P
z)h^vlhIx_yIHlFxy&+?HT(W;~v!;!|cvTIZzSARK=w*?VGF{LB7OA!hiLx*C9)yC2
z-E{1icCML7;E$~CHy;~UoiR&|S7t-X-R+v~g<fuHeP~lBwT>4Xb`cHU1FfMcjUf|t
zKWAi^&lL3i*?i9P7MwMr0w7mX8ws&e&&nL>JxFY6Gnd-6P;R?X>F-p#XFNjlu|8f(
z8mtiC+MSg#1&e43f^T_ICB?*HA?b{tYQ9_5uc7QNxeFi(T#mL4V%ss=$j5|4*JWzk
zPCN**l?UUc;*tk&JI-S$g8B1DTJ*%`G?CLRTsgT;gglA0>U#Xjkj1|h=dC{r<48ja
zY!?Dm-o75vI%H)qwBHK(l458qWOGp<sp=Gz-WzmpE{VJP`aTh*>HROeJLh&A^pd47
z)dP6@fqm5o!N=}C&<wUqy{>74C)$md=SRCGf3C;D2%zpya}=;xB=3@9{kNw?tu^TF
zhfs*iiq7RE%B^&K)#6>jnbA%hCV}bN{=1yt-tu3l->w((!d6ouo-`Gd<kn=%g9q4r
zZZ|iCCb1}_psS^?glh)wk!nx>k5#aI@O7pj);aDptd<EJRa}(A^^TmL;tX0aK0LPD
zdTfvEt`C(Z`48Z*l#@~Rlb|OW-_1d$+=Ksq7ltP)B({2G!@Q6S^1by1%E-V0U#FxB
z|CVZ`sWVT$PY|L#$?*MqfPgoiIc97}NW(AV?OUY*qYvak|9akFe|t9lVuMDL$nu>o
zZu*WK6aYJoEFjE=d(H_|c3F$ob`Z_TGsblj3{DkJktqU&s+29;wOr-uF-4eytJnEB
zSd@g(lCR}78ikjw1^?k0g^4O)@Qvom%Gw%tU(sn1m?qo_U2W6OZ};Rb)tI#@@1y0#
z2HD5)Rj2lH2mJ;<CFsVKgF^bw5jT-|xGGN1;Y#6fgEJ&N{GLVZ&xBJ$%g0Lnau6CD
zPM{42j8{4yU7cQhtAS4Zo<(g*cylf0pQUqYvFMXc_;)?A=u^%sJhb=ZvQkFX_Hmun
zXtn<@COBJ3IqG~GKV4k>_*oX`qwca=7Uxvu^TEb>_v%$c3lBYan#M;C7%ZdoA`Z?p
ziPoQ-t@1}1;>8N8mxu-=ltH(-^VPus=6d&(z+WB(F|i^WVN%JtM)mB7_VC~CHqjI`
zRysGb?nxxU$^j|rCLABX`h3Oy-B0T!JSk~HP{imnJ{d2k^94y!YOv(Ibdf7Y;wf14
z$uY49W;9p6A>#LEyPc`V>jP06pDc%G$w-C^<#;Nih8g90zE`4jpmn(HKN}@5Rw*X_
z3<B||uam7t1VVlf95V4>b!UOqDhKmpS9WMg;vX9_mzup>&NrAfbt<9<1NEZvxv&#(
z{8qhX?<qOLVJBw9<dIJ<W?19i!ASX6Dz&DzG_yE_`Y#)Ds!r*+Eo@P+d0!yWk>e)0
zaApil{EmjF2+8cnON7rgUULA7VKBaMwoY5jJ){R9y+h`$OL;(r8Jq}^YCLo<sTA<U
zmXM};CnJ};Ykl~aODjqmRfcXu^f3@*^77r0ioV7y3&I%<eS~fJOOu{tEhPfGY;02f
zMx1&v&}5tN6GSQ3LygiK_AM`VK+f8fv2_V$3|4km=!B*c)E3eH-C+^XQ!b&SESh_>
zLbcNt5UtaKgw5R1(~`U>a>n(-wu3q=EQq)<sR8@qe6MS8)Mfa0rvJe8#1#faGKRt5
zwtr`*7Q^cGY6fVbz6f&&kr1ex4W4SiLiTFcQe3MLdXBoZUMdK7bWJB~7Y4-y<1dyq
zO`l5sbljiYwpu<svI3MX$z*<RzNf))Ty?3M%z)!?@)pBcjONs&_9~-wJ~Fa+b}<Qs
zJ-)hLLtdV#g`X<aVnGL8b&DwL8jex`Xs&o0g|rSIfTfOE(&EaEFTsW6vqi_!GlmFN
zL{DgQ2<>(hDz6-i>Mffk41qzaS@s;qAl(z^$#D$&9U<_83RwNJ<gDJRpSy4#Jax4q
z!K=qHGO1+`&7$IiueT`+XNi*Br$2r}DdF?ZzMOeNm`84YNPEK9xwUn9R(2xT=;_>_
zZ|r|~`s%Q#zNqU<Bi$e%3<D}kH_|a6ARW>zNJ@7MNH~<Bbf<KubVy2fgMf4k1JdvH
z_rBjZ4}ZV~=9zou%szXsz4lr`L3BrY#=4p4t%hSu9T!jMwHD1PAMaJZ-s-ocSW?y@
zUY%)v1OQC(Ikgd3`#tMECDXq_mWQ!djw}2hIN_l|gdR;NDkLW6f3~I6BtKg3@I_8X
zRgwxz%FOMXO-;v@rr~Om3t7D5!bT@z&(9+%YjMrHg#S$nuJe`;0A=pGxEG@*|GvDo
zwUCDE2>F7=ZoScw_#GD_B>^~DVdQm51>$fOXIq}r&4uGXJ+YExid~5eXK}*>;HX`{
zh*bkoJ3><MZ|SgKs-*;l@;By*iX&cqX3{O{iTsc>7bw#a&+4*^@+;}Nk?+<`b~g@k
z>=?Ha!?q|2LL8I5xL+hGx!A1WNnrO<lrg`f4C3PmA(H>yLu!)wDG(jQp6AFS?bwP(
zV=}p|yo&DcTA=vje$U?**MfFgvTzt#X=O^$zB)OdR;bd5ADdA8(AVW6`+faC=)(PH
zOH><CE`e?%pwp`{l0AR&%5M@p*GDRX5gVtTywqiHOL&zsA9gHi&XBzo91Dd7{Da6_
zU!Qwl_e74_w?}(}n^*78D(?Gker(_Y3ECmpF}=*3P875vJKuhcp}U@afcxBeM<L`2
zc~Js9SW!JNe#bu}-Y!dmy@=9__3-sEVl9~V)?)z6q@P&hxfOT~CGO21{O>1m(4dfy
z9@WXST~Osen(6na=tOTP71EZB5(H*9kzQZk$<q8$ZrMgwV=&9!jJuoH^)k;y$S|UM
z`0aMZ0Ka}gC<4WAF78v$;OmDnjV!ddg(;u0oMr~a1^1q3-2;8mj5i~cj5uaYQF9s#
z%)a`(nWgT0E>=^fbpExO<OkZ##g-HaawT*M;Wjw;Wvk^h+cMoBF14&kup6p|6)jTU
z(iHJy0j5+hzkSSmK?#bLw@*xg7Aauch8PTT;B<d+aqQ+miFO5iYq)mUmWG$M$uXn+
zcAfuw@pnK1u&QjsTNyrQo8ms%csn0Tji1tE+ku!QK8{)vgLt05;nU8cg+4+7ash;N
zUk5r9K#&#)sK!}g&KFw9_YepW7<O4dYt5i%R*jkp0058WU5v*t28oEM9@zj4li!yr
zOF>WUkDL#*YvJE#w()1G@~9)Ru=;HcsQAP3;@RajA)VnAsAg4aIiR-6*mgDmpYydZ
zuCUyrI9ga?WJ-(jbY5DCW?)c76JOaOf7Fvk{V1tLs_w_39$URlltj@xpL^yl*OD26
zGOW>cje$pTn0(VUZ1%Kzke1Gfjf*xCQkV6XvtOv><?xhELrF6rW(?lw@2^V#FR-~3
zfTwQy0}hOq;FH1&%lqaB<ke9xRLaqg-?r`6*IFu`016``KAz*hoi|R4R`GdGA89y<
zMObA|%OG3y%6ExFK&i2&99e(53wcMe=ncr7ITFZd2m^S~R{eU9>3K|0)5KDHGx~nL
zcn)4)fAMpyXRz*(Tio7&^$blgAYS%d1&6p(x1LR)&g1j8z*7W_!7%-}?eD<)juBnK
z)^oV9Rtk{>p_KaEj1;xXQ9+4}1{wcg&~(0#ILpY&k)njW%{uH7GrvxRDn#q>#_#O?
z^P538X*v1Qj}mO1UR_$l)IpI*xB}MO?-uYAJ$20$$*i4?)>5lGrSUd#1%(TahG~_p
zX32M$*_goe$p&x6dCoUmOaGu?R_Bdk7UQK{ShG>5!(6zOpJC~dIuwNpNV?J{&<Fdf
zu0rkg&Caht%A1j4W2wcVmbHY*`x$(#CcdIkno{B~I((YTNfC5}eIGbfWhF#F(TNvh
zj1Agguind%&al6Vh{x*>nKL>%!Lnhu|Li0khDIi%iR2>Bop(V!Ud9(~Dd4ZsjbyJE
z>I+nEPE=GN%<KfUtDkjA)vu)dsPQ#<!cz+Et>vH#Yo*P2u{VO!S*lR<>NzU<ytG6c
z?UI-0^773^ZAQh(6r>6uN6_i_IJ`HFZ;mNV+yx8c!=w1Xj>@9KsXXeUN6f)HPG^b%
z$#d#7H@q>B9OgBVP2UoJJ=dSs@{2rYO*!0`e)!%5lW{fKtEqDvTD1TXrfl}$FT-{^
zOcJ74v_(05R4uK?<`cZ+=sRz3K>+%{Gt;*5&1SgsvR$hK2JxWV;M*4XrDW-pAO*$j
zwV=8B?{usHUY-HYcbLGtPZ5JS@l1{LR1=|!g>m`$)sltL8RrfwrE1w8ia4<u);6zG
zo?ZI1%Ks5~xGH_gO1wTw055w#-Mn1_Q7=%z%)DDZ|8Q*h;@rq!aK%Xs8)m{+;gfrE
zi@caV`)2<NkGzJ60kxD8jt}WBB98GPbU^_Jg6l0bj}8n^w~!P-8s)YOtaPK=l@*}g
z@1;?CjwL@xg7q8bZDhz!!$Fdt7sejp&cXd?qttG7B)n-WyfJf+b?lPRhwY5A<j-b3
zv}>m387#Qb_Q8Gj7K=}4Yyfv@1=%nQbE!Hj6j~4N5e!Y&36ccq?J%-26ksWy`Us3q
z%G(c=V6rQJb<nc~wwJyZxHa3XQ%6?DBh1lyBi_GrkIYh7*jyrHR$Ne&)8PuKwAcQv
z$>bFEG>n^wC>G<5gminum<G}LFLU|QS~h-k-t(JB@3*hDzTu#MU);k2A`X+i(oY|L
ztfb#6Bs>fGC;+c<5X>Dt@`$7nfO12fUuH$*8%ei6pZfUrP1#Bo#lbw3fkIC1;EN7q
z=9YLWpOVlj`v`+ATU!-hD_$!;{&Dh`#~V??H=e!6H$&cQYNvlJM2#qABnjO7aY9^G
zzOU{(Ex8@eT^;c37i1TxHB3N(&cPmELgk<;km!P=5CxxB80MI6B*ujh=(EjaOEaUu
zBI?ZEw{Y~^)?rF^>@Br?e@h8jRP$nmd`_WQ<l;m_cV*&TGyJ5)^hjE@bZbvRwU!E1
zZ}Ov>tccS@#y+X+hboNDG@sZ?^SRRLy=1Q`vzk_97L2E!@)}G}O(zI{G&Yfu5utaY
z3YgFDp2AHqa4|n*)ibb%qXL-RZNi>+S_Nxh2ih%Y$JL(|;pyr5H{Q5yakZiK$s6k6
z5MHVhc{P5-g#Qvv!A8)Eqku+ua5np$9lQm^w)yI8m(n(3kIP5t>?JtqpDL92lFfrI
z!TV7g6}Nl%sXM=3DMv*iSDcPn9{j}*=krgV!=n@O5ZHBIug2neGkjZcj4W@gzgnv!
zf`JanBpF>dR}ap#XPdpV@$h>qEmnQ0Da^WOz-dP6f<uD6{-^r20p%QCzuUE!pW|I_
z*McmxytZ{d*5XG5@cn+m(iN2c?)_KAPvciIhx@A9Yv)a`G8^263kJ8YbPXM(R9Fbc
zP~kN_f;rn~*PXjt%dz;lc(s3+S&n(6tMcb!NG0+0#uu)(wUh$Ts<9;yDXMZrF~Lf?
zJ|>t}L?#+_D>uV#BH{2Cqi3V%(&PUydXD&kcV8_Y3sq~s;G;&@MMoncf$D{s$G?lY
zG$E3fl2A;OhQ|<iTsOaz&a7+M-^xAv2G2l~!c3M@V5&3Iw=)ZKsJq0YK_Mn$bnlK$
zJyL%8!d$TCIT+{A13m%>iKq59#bkwd7uWz1Q3(3e0IV284~eXqT17#(skSi{l<okn
ztavL46Fl++IzI_xwRysz0AFjBD5~hA$c(x%^mEkpev|-`&G9cgYDw=V_6JOg;N_y%
z6sb>#6KhX?zpec~@t*H3MNXPa9~)HmE32tf(TMWU1|M4vk;M|>uSand=1-xj9LD4w
zjsC=t^LHS?Eg|uxTd^f4#H<X~L#vO_D}7^Js}zBOB0+g7oUYwO{#SXsZ~FKWq?5?Q
zMjE5(MFx6jENxnZPgWS$|1=R{!dJt&t<25MKtonPKTaxIP^)_xzEFR7304Ru4y;sm
zQbT|KHfyh75I1^Oi+Q_<th{+xe(-K)PXm-4e&5O4nYVg0KXiJO%YCs8n)wO)DU3;E
zK5e;D>n7)N_NLu^W4T@2m_rZ6B%##7|32|@eaaw>Y=sM2zNNJ29EZS$Gh@ixB%Fm3
zEr$9H=0S#scICO+%Mqb6Yl{geox+#_>8-qj_{8;PQ}LrD(}U+5eKNW?yjmfIZZrr-
zvVD1*a{j}<=TC*cH>b`-(aU;sPZRIS9FmkIHJ%QkmThRVydi^;$dqp`rBMHP>4_d2
zqlZ<QqFz!h7a^yAIRgoUQ|5Ao$GvY7dXi5ypL|&VPdQw9yI>zQP*EtFwn2_hf1=|2
zKw7XM$$P#+I=)b*!;=-mC=toILQe-SmWA%c`7U$t$=aX0{({J?AhRu(8#Dd52F-|~
z)yJXoKO28g5W$$%rUIT^?Z%6d63af5Ai<{sB!X<R?JK#>E|=h@5ySCfee_4cs~!R#
zw~{aCKW*Lg9hC>w_s9lb9K;vG)G;|A0Xsb}R1?fmmnF2EFd%%Ik*ENQ2=qc4u5V4>
zf#n*OS2W0u)D27x8xpBs^!HJdBk8w!SuxcJIc}su3Hnh_i5Zr+?fErWQG$AU$K**p
z)62lxkhd_ZkErl;$9lClnB#U}?Q6v)8)=#90*~5%oB3go0;(ucGY^YgI=*bq=1Cu6
z0d>%JZ+Y-AgG5HR&l+7mc)g`<Z#-rR%jx%Vh&0{WKb!u`8GUBu0rv(KeLxy5)cX!O
z3)*Km3c8L=yZL!}HM($yLtU;tz1*seMpL8PT)Zwz;5EBZA|pff7<ZQAy+y<*rsJV0
z6AdeiaxbDF%oM>WKwM7lET;8`l$W)2v$Eerc^2e<*4@DGH*z;-jYkF;rJ!KD&sCuH
z?E2T;v5|lh5iv@#vIa3qw@7pxDvX#Ioi~BNVXIeN1IzXcQJEI><Rlk4S&*7}^V6!z
zYWABryuDC=^ov%Fe4MTjwd}FDzHOIN-p@MQ1xFVS8m;Sb3uLEtC*I2fuid(??qZ`n
z{n7p2KE)q`)K>Aj>9H49^-3;zoqDlU>C^4Mtg@pBqw2UV>%Vx}awn6?ROzr57vnJ4
zy}$k3XI|E9Z2KQR_vpp956exUdNW8qyf}c*lRl^|yr~`UO{!*Xh#h)+SiOzakTVN%
zXiiU0>t`2e99p<CM{n-hE<q9#2#nO*e+brh`EJma)4Q&idC;88HHt?AIPOrFCZPgE
z%ukzo>SY`{h++a_tRk3Ev11hce?@yNXXhr!n1zuSDtZ$h63%=lL6MM<Aeu7Kvx6h7
z`<@u>YN$wp`;^d+n4vqEH2AQ^8$|-co7Pg?z(*SqTnPKCo|#!fiFN-BhwXeCwSx8)
zMlmJk+ng82VAPA>@u&LuOM!!TG4-hKm0|iWC4utiwK~kyul!X^U%CTS%`pI`DO|K5
zYJha4zWF*Z3|3`=b2WUi5;}va34f`3KuRWrhz3bS{HeoW&ty;?7Rlw6q4JFM+tmBN
zYP+stEX(m9z@A}lT#9l*ZxVC(iW=eDQ5x;)x*5Iwv{YI=%ufT0?YI9{>a=(Xml&Kl
z1wm&2$5MY!eh{9CJbXBJJa!lNv`qLVRrg_(uA+8)zC$xa-$>x@RFEDn)9SRO+4jP3
zQ};2q?7SR)zI;k*u`BKGUl$!z3rDdWGlv_OiK}<bHBAIP#Tfm6+K}bXLiCDS-hZ0>
zeQ~#DGhUi_=)HU4kSAY!c|qDe;7JnwexS$eZv4meebf+j%J4exG^7hvfM622U}!ki
z+&tjD$zGA-;Jc3sH1Pa}Pr%y!Jvbk~7H+j_{P5{nQMhXT+FlNwa;{{K@uK`6orqq=
zwX>Y`K)zs!%0j=cDXi92mD2ovGm`Trq#K)ulKRN015Rr!?K4*%sik2kDb1*f$HC_2
zH<zQ-(TrAa+cx)&UeMZod|a)4^#M=p@qc@;y1$xrkem1w`~u!3w3r{C1$zB3$vc|T
zTK2;JX~(sk_Li*uUK|YCb#1zv@OkLO65dB%2le<!XP^@VkZ{(H4I#-<o~7|=Hq2c(
zVgsUd-mWNq5%_`XIjYRDBC#2eSyjRxI$;C{aY-q~UuTXNj#;PU19&xG)4t%s>Hlc)
zE9@Y0>AZir2(GCnty^sNvYD%QqcXSq+%rkOZA^RCl@CWFs%cbuaNJ$S|Mzq9cpANe
zudlxvB-dOX2;<#W|1n-HT1*d3FIqJ$kzuMr+wSo><?42lyXFN@82Q&~d%3fYKV`>T
zecOU0Nu;=B!h9UV^6(5Kp1jHH&e(AKVNdAIb41e}rvZ<sviiL77nCZHQS)`J_d;SW
z&kr{vR<Dw$pMpS#iWw)>kY!Eg1K~;Q!+BuE{45^gnS5MN#qG~l8i5bD0{pfwz8$T$
zw;NSFj~&Q;9UZQ;X{ckUHCWR05|#LM(aNi#YLM_Q5!|p!hei3bt^{{<C}506reT#@
zg|Ozzs}62d%Sd5P?jt7t;^E@K7Y71k#+%(nrZ<>8SRSP<-TY)89zx2H>qvCyq#QCi
zz}*zkpQ}V5f7-u2^d851emZ)0`|cQ0vRBzmI{U5SO}k!w?-*`LT-S0dlM)hXao72S
zj|ZY)A_;6?b-o^K7_JnE@Qa!L`J$^?;E&QS2L~La+*#qz`U)!ECvMC?oQ~`6Co!VP
zhETOcMn1O54WPOB#p!loADdct=cv^t&O!20_RD-kPRG4JVbn_L+um1~K}uZDwHR=6
zFm*E1&Xba_E)Ex$EgS#iP~w7pojUtP-eD}t<0^bbMa8L?WWKh?+eSWzb=vbc(Gz;@
z@T;xV!A)o9S6=5kYV&an-@pF+$WK6n&TDmTO6H<&%5}jL-S$nd#=7be5daDG+;cCR
z!`V|Hr(2lX4yf$iJli>aoNmR5hX>f|$+ife`D848Ui8?Z*h>i^?r@IlI-gtCFWR?l
zVlFJKvddO}+CJI#N|O?m8{1sPKEggE1df_p_e@RnvDFNVUdxz@s3$rZ5nzg~eQl8Y
z__}JXFi=mf*L170EE|>=JPC9<*8aE&(K9ZjBzOW?)zj${e)#=7m(#zTK3C_9B~y*q
zWk4?FUM=Q(i*&?*oKolee)7aq5!0<n{1B@lGR7CbE`F3m;jnD=f!3M>)d#BwjPUVY
zUpiM%(d~>B?Cz?3?bchYKP(B7|9WtI{P18IjhH(Il}hiyvjB_U*U{ZQ0l7YpKRN^j
zSOX=|*L9vO9if%3+%6o=Pa<zyC<1-02#?QeGSZD_;Aiyo#6_hQ$9GFi@_aQd_qefy
ztF4wCQ1#NqX*V9xp|*>XE1P+ET08R!eA~uL>oRoQk)$0NQA0V(uk-}01<KzXi%`<6
z(k}>KVg+S1dZihr&8TGBWr%Y?OR5z)w(Fvh_on=`b4>)nQo*Q|Ps|(cT)frV#VWm4
znF+PX(bond)}6<priX$m@z`^S`%B^GhuKM%ZLgU5^rg>rZQ^pr`2+BfDbSXH<%Oau
z%gt%^t(BT(R`69*@m~F5a;KlNbS1l8n@3ZNqB`=&$193oUp3MGUaDlus=0zDMDRL~
zwtt9+IBD&S$MK4&sHlvuMm?iG3TNl3XG=rF<;Ii)sMXSG;s|DQScG(7_qJC_2%C`t
z6ZFp{k&uT-qcd*7`<Ig^r$ZA^TGy=lW5ozbMph!)4b2{RuXZ)RCBgUpT@cUy=4HM3
zrk*kF_f%p3QK{N&q=8{Z%6mHBkvrCNhsIfoz3RMmJ!8)k6c8ixr#ia+Aqq!R<*#ki
z+@8Jes*Yk}ceL-o`|<8&GmTyqHVR6Aec#H(@wX<rYo}gOIC^PTt=)``Q@#p%hek<{
zrY1qxj`B@Y-Ni>`VrJY|j4EBqOpn6oPCSYFbIt1`|DbZ{Kf+W5jMV2*@wgZ(@O$Iq
zwhMYA9bVW2^-=eBh~9&tACoe)nII+n*m(Qy*j20m)FGd|8o>YbW6e=#7Rmo9dgE`V
z@YXw@Pxs&=-hf)fpo4cr&qoBExZoncWjfvO?NQ3fyCK=Qi-Y0W$LPTpwXu1Pue_SP
z_7mMRM0D6IQjskf0rUPgtWlPyJrOzff`h~FIF{!}t22y7_P3*F)JpSximG1j>%zVZ
zm1O$2{KQIljLkL5=i`4detkb0wJsMg)2!P#ASjCtw|xY>1u0!6OyjL>Tq(7(+YK*7
zAX(UUI4S}1c>)&tGi^3qyB0Ms)1ovdF}FPp%Z}(b`+l6yetza=!o&q*<&<)3`f%wj
zADwHlDJG~dZZym?ipiB_j?MfNBRq~>Zvnl=^)Rd?!J@9Y`DWlvA)lIYUO7mr-4MKg
z(Kee72LsjB<GeT_5s{_U)r#VuJ{5J!Uw^k(o!qPV#cEgG-`@I)W%8Wq-be)#TLs59
zmHUXOmex&>rlAA?zte21aCSPLWEREN=^5<QNPE1gqVAYOERQv1@jXI%X2GJn{wf&9
z>DXDNJAV#fic`?jsLQ!hA7%_g^CBU4+3Poi@7DCoJif$nQ#YT-^#i8N0`fj~nbN!=
zkq!@#E&btsQ%ppJV#A8Ul#ti^Q<6tp`;Dk^Q6usGxHV_S0>$#s@j*i$TFRqJvnb{&
zCY(4_zEfcoE1AIp*Q$@h^-uh8*&s2@66!f<ukAU@nDzra-M~SEAVkH;%Y6d_H7zYl
z_^GhC?SC62F?{2%G1aR$_5Xy91h*3gH$nfs<asLdvOE9tJ8+t?DC*pinnh^{$_k9t
zn?5kFf}s3Hk}m3?C-v(pb)33yKNef<V>CjGy9|xvO1u_nbdHmB7g9E0({7%B#+_^2
zuR3g^Qlp-u)4ZU6*XpXL1uZ0ld-o|FE{0+;mhjf$&&D6)+nHG<r3`A}0$@+zBY;X3
zC2P`VwE-g!!3t&_mwZ>{lq*Iptup#kWKwuTj@YKF8sCjnq?1#P{Y3rNYnLLbxjdag
z^CyNQ6F=u;{8qVPL$6)juLrqWGI_DnHiESN+&PH|Koz|6k^d&B;2M&!hd)Ax+Ept)
zU@Pr&$%cLDX!Sws<%*BTz2TFh(nI3d7K0-S4g%HD+cpxmd*-a@r^-yWRdk`JkVyC(
zLiv>yZk=RD=$_&qNFaltD`qLygOqp#M3&)cac5{iWD>;!W~u>ZWT1ro&493D@^9ik
z0{u_+;3!GD+}=0}yu+QS6>JTo;sbo~kvS5=*5>jkS>0W^DuOH~lb=j8pQkXg2qD~A
z?X=lm?Z*Q`9VC1BWNe-oHj6t(VVL7DUPD}uFak&dzD2}c4tU=UJUK=%3!(f1J$`OW
zcR@+zZI^DUv*L&0na<A6tAQ@z7m045Ny*?svuYx1*Hs7nqVE(m90@`I2=s(;<!aqJ
zJvEI_&Kr9ZD(<9!mCY)zq^+}?37Dcl1^W=H@nXuZzh8M4DP-p5FMaQ1)*IQU9F6#;
z3n0e4+MMEW<tBqs7*MH{Y61<l=>R!mhNZ?YO75}995$AAo`~w9gUH;gVm2CzfNFv;
zt+EZG4mg&s)(W$oem(W1PMNKH=P^M}{^;c^{d)gtPZS2Oz(+A~r}w^`Z^fC}87EM=
zFO^hSwhbnEGb5MqP=SBmAqeKr8|55+|FCZ{@!FZpaAd=WWgLdI!~)xzaD$foc%Wg9
zI|Q*2Jjtbk(!gfHAhGj_7^10)q7Z?^wB>-CqShS#e1*%Ri4p{%;YTN9#>Nex3PWcy
zv8oJ%e5fSYnXOGLdD9D^0#suvo}VOM+41Z=;tbmhk(4G!BP9Yp-<FdMci8GF-x;yW
zv-?@PgQy}dJIa_H4PIbWViLw<q5(<avHb4|V`%#rW*LY24|p7?oB_;gkcEKxFQ)LV
z_t9uWWR()+%vy8xWiBIBXL~J=AOOg3H>v=sMjI;kwgqPv(}uI|LYcOpL$HOe|HEQ*
zt%5J(4`NiQst<OhXMqDZPPBcx;NZelc+U4WJ&RUsHM=~;JWSGlXG3xVSgDr%6PScG
zZ$gZ!tr;c&!T6$O*R5B*^g-4ifCCUf9ww<tjM6nY7<_2S0}w;HuUe87&CQty>n0H2
z&dr|ahG0WY*ba}MwQV{0Ir!gLW>{F(ImN2+QqOtNmy>0mT!^8eTN3G%rX#Fmd^Y6J
z49Ze@XTmuV=ib+|2Xj@LZDm2VlD#uaX}#YnR@p{Z6+EE9n!8cB+A>J^E)JsJkd?xI
z@k0X-#4N!A^fq2Ty!w|u`ig;G&|t;O^8nQ<Qr(FcbsCdX3M5e`?YDbZ!&);FjzGj&
zG_oc<dQLz+=odj87|w)=fu1K(H)f|@Lv96BnaN`Vk5nVHy6`#!B!SMv#RcPD9{}~G
z)#Qd)V6~Zf|69Rm_|vzy+_n;(>6MvI4~$4ABxzjXX_&pkVGrf@xl}NDApi})iwqF6
z>cf$69wz2;@qWZTt<<fDx_P*g`poT@z9XFu;8N??P!m&0OpS&XAWL926Cb^?75hS{
z*}IC_NX8eC`wDiOvutf=ublshoNv3Z$$tgizJb3h;v(?%fbtnAgS<IRP-vyyX`|PQ
z7l(oQ+gGN>mKG7v@^_m)6Je4jPsTFqd7SiEb=*cxrb-GOX0;b{eqcgtXguS!${i6E
zf4LMIfN;v`s|ltnkCy_>C}6Oz>J#~i{33acyK9;s1<?XBYj`iA{oFi@QL#%R{`Ifg
zz94<Je#2X?7vbOk{=8eWqg@t}<48QLH*TGVVZV>qqB$N;wn(DcJ`;%c_VD2O)*p6|
z{5?d1xQ#iLIb5(~*nbH6RGY9kqG4j$Z}H8Gn^pJq68;z{j1&44il*6Psr}2fwT(4A
zB?f#s_<zL7dQMNB1nj^uD_5aRX_zbMNlEN=4BxwfggaZVeGltc^Y<1^R{Z?=vlNK0
z%6w7Z>kPuuPTUTpt)o_m3cwp80>(^fIH|Z$@xUQw3epgCVl`D&yd6MNRbosICV?#{
zaZ)Xro~8OmiN(JAOT6dop}qx69m6;?k>nC#E-zlWNxYNzm!y<d`i^R>N{wS>^TyB!
zxILvGDyQ9|iE^slVVNvllDl2Xm$FL$yN9@U4rT|z!==|f7wuv0l4E(4sQelKoY?%t
zy53p_H|CLqWK}py<xBqhc~%3TL-l6>@Eh~rlvEUrfYI>Lp=+D(f9GloO_Zz??WK3C
zeFzl*F{_weTwYfC`a3o{ZP?O&5wxG==<;a4>z;n8@UHd3ZSvsgncHT?D9f>oZS5Bu
zo6P*{U(6NzzeIU(iK(TbW{iB)uNBN!c=*+aNInwf%*@qu)Ai;3x^4<1ZEeV`1{kQ`
z=uMiC8FEnD4p23H|B#UxKXfwU69Io%Re9}~TF_LA2AsPr3;GLHaJ-FrW&n>ra-Ih|
z^!r)|-GujPG<RrA)7~e9oVj5u3(nML&KdU;s+6b-TYXWhtT-P^c_v5Z8{~Q9D}KTn
zHd@>Cj2lRqC(TEF_<Jsoy>{5JdKA77;->{?ugLmN!TDD(`>yYK0!ZLkr;J$EbefzL
zVXZc~;R61SSE8JdFo(Tfxaoc+Lv~fB;m#x=88(xpZ^wOf7##G*kD3!3f%;7%NMcAH
zoeSsO>pO^2a0c6R(=+{^kj@He;wC|QCb`g~$kk$|hxlWZ5oj>>(`E`Qz2m5g9RCc%
zzdKhqe8KQ^!SSu9%XB{Um#TsTYOK`fVH<*d(<Eq0iW}ok+-Wg(IBkCMVKP7CcN(=#
zeC%3Ki;E$z_>q0dV9J1C{H|s4SKL#kIh4xRCX!NF(aKvZH%#(kZc$UazSjR0Z5T03
z1BZ(Z(%2)ffXbPBZT(-+b@2VazVlD8kWnk0-QWD9nXSh*K;?H6H82@XQEu_=oo-zs
zC31LC)PDLkJu6(rIIg#tbyB!_pi@mO<!MiERPQ*ALv)7N3K`8O?1hPYQ}<gvICn(*
zT^WldXF}XFTPv!PT8E4@GJ5}(@|1w!FIq#KJBypeeojV6XPzN^RPc-)V77tLwJ|?Z
zMW@PgzWtl?lXQ7>sO2O=sf2u*;V)!k$TOF|y!a+aCl@aEB6T}HwV~YgKnL0-?B&e(
zdCy`Vvu!fk?VSKD;fmQ2ngatmlDzOYutqaOh*rG!%jlzaMjGuM*4SJBS>%np@1b%5
z+f<&OI<tI$RoO!k9s7S1sSbj)>=Y4A<=Q3FXBYCR{H<d_Z(F`U9ZnY{sna}TJ=Yky
zxLt#X`KzmE%M^S?-dS~n-CUd!BPu#ngW@wxTVTwr*Hj4EEK28VN6%SJEG<PHX+d@E
zv^M#kR)m*?<Oemt)+c#ofqiG0FtIc?fp`+~c>1+AyCn*`DUpOO*7AGJ9lmZpEhS+x
z2@WPy(I+-<6P0L*-~Z(Bt#!^P-*_C9B})gN=hygP$j7R*%1Y9erD0Mr$n%?e9!(-@
zAN%#Faz)F-(LY!*H{N4tsh$l=ZGPW4i7u2r8V2T9u5Fxg>f$3)^M}D+mLF0qxxJR^
z4~19#C-yHrh`iA>64@*BiWo4|Y%U1+fTfn@OLk@@`5b}|7vXL<zsD_w-hBRiwhL!1
zvK?iW&yipABr!CY8jNS``ZF;~siYfXe6^VloCJL;d9A{K*LHZRxQuz+W3!artDuJM
zye)f#ddb~t^MjDCBBGZx2OAsl?Bz@PkC3kB(OK>N86Soy<#!H5N-k&OhxlbVeKL0|
z)!*%CQLC|Y)8f{0-H;{1Kkk^ljrif{jxI@G`@IdxMg-O+^Bgow&&xVdr>~1ey#8`F
z`Q2Q&dn{Sjyn6LYmz84iU|EkwW*n439k$H0v;F6+1QJ@l(HB@p%y`59Jyw0%4cPmh
zZxB)(qjVsi?Kn|AV*_O;Oj(#ksRXU!C+S3`$4u}R<>z!a{^(^Qy?9UI&3<(D9wYi;
z*v#9VU(0cqbSg2*Y*}#^4z6g>=!`K06K53S-gI~1C&=2-U85>4TzciT9ED^TM{h}v
z8h(T<3SR^RfSYRl6OyLMfHJHeYa$@{i?z%2XPy}<3NbN<^@N655oUmep3T6OWwHAu
zt07GFQVADG9qz?Ak-~%P<u=5b*E-IL7-T$;jy+VC1{_B~d5iSS%vm=j*rKF32q1WP
z2!!XrdoHUdueAR;YK$b35<iu91~CY5s`%lE@<lMn@HsM4fvpQt5Fg)7K9494U18><
z*8RxEgf~(ZHswj(?rB6N9rWdpkPU#nwU!p^@1u99mHNgBmybgzX=DtWsaf$J9x=(r
zLYK(IIHT8@<u%*if7LlugqrX4xSbKMwhN^Sz?e}HCUw=JWZAd|%_qa3B7TPaFii`x
z5otfOL((5bl9o~T6{K!8gIevX!C%yhvNP1!&Mp%z_@{Apn@*d{#BEcKhi1$A`7vGx
zC-XrD(tWq!*`7{F0^-(-1zXSv%I|btW<ISgM(Yj!9!%>c#SQu8jB{g)%l1gLOGVzl
zlRJGhVaA&~InO$!wLd%un;~w~Xt92AFreNZ<(HxnM8W8infanr#+Hjbj>0bblZ#tX
zPhMKVSCjyXTnV(FjsDq^*;yDY5TPCGx$)9Rm7{P*wiJoFIrJ0EGSia4$f?FmMblLb
z@2&N1t(TSfeK|zf5~kRwkXj1gt#07Gj;;Kn1jomw_|V|)Dx=zqCM6(Hg11WcGqa{$
z`GTkA8>tr`m9?7Zr(7uGNr->|B0Cs2#eu%Fj=0E;1Z;xWkUbF;DgX)SqX|PFl{L*;
zv*BGWI;;9+pQEFFT36m*QMd~|DE@17`6d&OgB25~1*)aB=w?|~haejF6{9B@h5b(V
z$O!IOXZVb?*%bS`A{6e#%Po9ky%;>a@T0dUOtL$@_4l7*d385Yhd5NJH0Aa5Wu`E#
zLksTeJWh1$l$iH=FNS!2uv+KjZxlLb!!5l0waQpByZ5G11xUI>Yo(;V>or8-24*7<
zc!@jwDMZ_gdm9Hx?tCYCGf)DE{D>$E>Gw_FvA@Iua2V7)7iy2$BfuP<bpqWwxx$v7
zN@7Cv2q_}&b72R10v>9ZcvGYgPforS^z4!R##>Hl-}W<-Yw=0wzc#?G@BLG_yz}<R
zlVd-_S!i_`AtiAcGJ=xBd$yG@@z|D8l8Z6bWY)%sJpHx(*HGX7*tZKQ3S_)yD2_z3
zwtD$rjVEQI+`8qTwW1Kl#;~ZqP#=B~AZS-MM`cFDYf|P6nG0u#;hu|nu7rvjP<iN7
z(N7vKWg4JG1e_4TO0lWlg;YDkdrho#DuR$7Arc7M7-F{8p*0jD39{g*S?!Ga%YBUQ
zT-+VpUqpCKOwvYOe@@R{%cv2JUm<N)lD^^XWl46m;9+xzT?NIGcWm5T9=GqAgKyov
z+dn*Y^AiG;A>I2mG6LFf8L?7qoa(@UU$?inH>={qE?NmlOZ;3l5jeF5ZLazb8k(6}
z$a1>iaq?X&Z>3cTw6Z2OxI+|r+*qm$`>MkL#pPw|{qp$2PVJ`M$MKHEL9w^-@jFYc
zS2EbBcrjEH!L8kpwVoCf33OAGQ4(v^K$*=Mw|<f*=pV6xYD56!BW@0#o)mx}$2WH&
z2c_S?6Zs2bMic38!96HaH$)h+>EouKl%>1K4dD8?f1EY2&BehlgPJdUliDpUoSmHw
zyn{j)Sr}~XGq#rr{<k{Hur33eTT`828$z*QvUS>Mk{5tLL46~_!ArxLij<#xN_&3{
zu6y;({;Z>9Wn1>gnhL+tmd1RWMN~<NNtgDTGCMDPAD*S|bycH-<xoQWDR`m4=o(ve
znIMWi2!qU5S9~;-sxV4xY$}e<Bz1<dGV3WtKvV<cBC1?WBG1azW~4ALfHQ}S0zB#y
z^6cfedah@(sP;PhC9sB<AU)t52(00-cez2T-q4q|SW7w5q7$J&&)qgyVhA$~etWgG
zx3|xOyp_wvpCR<3QRySwuM<Jj0P*J9naSPr>BPkhcIYU7YN34*bDsTE^nPx!xzRHb
z5Dj;t6^GyZa_b3i*IPeagh8D-1QrSh8_^<DXV?;ZvK%hok00@t*}z>Ah6O&rY2ira
zht>ib%KGfbKnJr>66|hB<lck;Kx93VksyZW06e9(4OnWUcD4&ov9WWBu~|c%OvnM?
zryw`|a7o0(Fpc(i2=FCe?VXtnqSD518580;>hQs=MKglMfK5tR6Cou`^88RoM|=@B
znpJl+e|<dLYIH2(8-RGdt4-u2LU(+8>>=v#UtZip(s%m&a+>GN4>=RGj%5w<KTQF=
z32bdS+Zx*oQ1B~bTQ>omQG%UW(HzO36NhmV%d@fk?$xP!^|g(i1OJMy(X{<n=nZWH
zfXFVm`&>5Di3*qiF#%e|El;g5a4^xc>=Ov&m|3X;KAPl6!K%}ne*oBpz+=_y?i~~W
z(AeaVUaBk$);~wh0oG$|I^ZyK6eYrRVnc;RPc$H^z@kJFMhyMg&r6L~qe(zw2MRKt
z++Llr4$>LM0gmql8fNI|=-j^{(?<*br9eU)Pw42l&$Qcdj$6*iB$5K<fM16V4$9AB
z@9ysGZ5s{^uGxs4M(iE-j13HEpV+sZ-MvTb7+^CL(=-SVhf|lpLkVA3sqF-{_)iUz
zw$6Q5dSYP0M78PeLBfIS(Nsvx#r4w)ha+MgEZ|jP?i#69T2}!8D-?CHt3_Ye2Ib2b
z1_5eBZ#+8?5TGf>D|V2tW){a_he0->%PcEF_ZLSXWC2LpSf9)B*W7qjE@1OWtiAk)
z^5jy%D|}e>dh!Dt>jkT^|K^`R+)9&&53_opL@^i`#iyTs|KHOtJ5|6z%>VYUSj*Mg
zt)C<@nHg%ptmWn9#f7`Odp)7Bpr9u*&VD~F-x~I=)yUY$$ltXdg&Cc>VFGitK?!2*
z<Muft&Bm~zz!rVvo3)Nl3=pNpE~{wgGSR&_eThv5zqV_ph6GU0;mQV}O&T?O>dQAo
zT>z+1v_%q}oJt6894o=yMR*6A9n-tK$Qa4PN(n9uGTDzZ8ddDA&ptBnk!lFNwRH$L
zfn}XHZKu6Vy$^krf#~=#Nc|(fe4ll&9xdP>LN*SLzC|_hH>8gmcr4HFx*AD!gEvO-
z=?C1XLOa0%Thcb&V%}9~x!(SvLaaxxdHL1MJ`(K5n{XBuzYMOlPkkS$rr@{Vta9<*
zy{f!?=H6z*tmN`py)|tRv-DY4`j9OF_x|gME+uYr>_v#4+P;)Hmv!FAj1ujM_5~)~
zqiN}T<=w9AWSLPljV>kATPENIG4%dK9mJmkP|9sDz3t3pLN3b)l#M8Udtv6q+!zgw
z-|)4UWO};}>7iGAG?@FCdY@X>%V6#hl<alABS}!Bb(I;(AhD(}jcjjjY67|YM>dE5
zea2)YVGRzeV8p+2GfH^MLt|denmTOxFm-TlAGPAnqFXVW`tR`Dw5)L&VSrzx=9^lU
zA%9E<S+_LX&AuCKEQfMcWfk8rLji`SmmLg!#IRtK9-T4l>R|*1Wb!kH_6RfHr_(K&
z^jDG~RXc=}TS>9=kuC`eC(}7&k?Vj+FO#hMSPtxChdas#C=q%GE>i0-WMsj0)0}9$
z`yiWQGD0ndUx2TVCp5#R9G;n$rrm;o;>tmQ%9a{^17l;bLM~}`TD`J!%WMZrY2!KN
z?3;m%)a|PR_4yp;;$pB*C@wB8u)VzszrEenDj`Q|xN%lvZTxL=wU4nlJXVZ_UoM<<
z%8!5lrCTb6&PjcIxP52vuu52diRqp&|8QmHYgA7&+A2qngqFbNPz|mx+&PRI#MICA
z=-@ZrXp8Iu0PqXLXfQUYU+jf#WH5lnS#MpOL*cldzg>6zx($Z;EkKun6jD*;T`Iv5
zdij;AG<Hy=IvTZglD_=CFc;uiATYRT!{>P}ceK)av!QtRFL4BMFEc@q()}azpmAnF
zr5v<+b}46uhogBA{m0bEoH=_Vf+REh%-BSI7Sn?(9Z~m`lwo;%@253hGK8cO=>F|f
zti^QfAnW6l%<REp7}qJN_9!Id1CgYvcE+=O#~k3D&BFFkyWF~rXW>(xeT;eqJO)fl
zNd$tpvOpg&5Yhl696}0$KEZ9+%vz0$<7N`Q4j(6vcpLFqpSo8b6QD}@l=ud38|r+#
z(wcc*3LZun#-Zr<4)<FQ_vb1P=QOK-do61kz0Sa&!LK#?d(#HnZ<ALd{nd8O-r{u8
zt(O8G+P&Yk$bnyGxeG)WulJ%_6=5-s3pKiV<@_JCn&e9SbFP!;pTM-^2U+izH+tZA
zy8b@2tDI_S#kwD!C+qUwm)bexsg3SEFA?I|LrRv%i0Q=RZa*@mPOiZF6F6=JL2x>L
zF8&&T5H{WEGKeseFbq_|kd%PwS8)YCZ_kqbC}I9CJ>Yq~5o}&MBsTHzHi}-EL+)x5
zDWI%!R&MK8aHcWabE&)?(FG#S?f@LR&^JTrPj1ZP-BI~gO#cGQt^L>o#`}UD)`O{F
z^CXu+Sxc45dAi&$jrk#O=)Icgm{NIqkC2vFzG@BoV?w)cF^MBq!ENpmuH#a};8OpY
z3e~hvo$%?*l3)>FlOa=BttG}lnM1$f-lgOsLyrj|lY2UjO&bz=YiW4%?Hs<Z-YeAo
z2nZ<bFG((EFD_0Q-CjKX1ELD+xS1Uf^O<+^$M;9a;r*T>VnRaRpezpk!zn%dZr}J}
zvHfmw-tI!Ty$Sr3d{y5ADSNQ<GJ27+C;XBa6zE2?(~v-ssF$Hi^NLvG!|CT&TKJGY
z;V@jsx(|Ho%jvg{Nd^>0aM$Sr<c5<%5Ue3Ey+2(t|B;Bxli#OJp5}3F>F*n=1rZQb
zRIB_i6Csy{swgtB*)jg5mCf6_>p4VucHm*?wTb!an;y>vfICRg#00|vbb);0ix-IU
zOY2e$*ukev-E?d<`b5+;ehQLF)F@Yl(>cHa!g`|$IKzDp;fy%^q>6M9LZt4#^iJue
z0{MvSPh{1TRLf1a06e8Z37QK0kmW+!<b0ealT?k|`0khJYEr!X1d>T#<kF|zpR>Qt
zACZ65Q9n#q$o*{Eq--8y68RRJ;|c9onp6@Ls<G30)=cw1)X7BDZ>hPk%U)*Ed|L7z
zdzy#d^PEu(aOVBH13ze))d!)hZJzTU<zMZ{GKagB<GT#R?Lg-3!12TVG0Q&{ymOlN
zQ<~MQ5fA^H2KWuf{W^!(KIPo5>ph6+RW85UO1ru68LbDgJ(rr|;=b8bh=ja4k9OTY
z(lxE5kpzX;s7`E1ofMhtqrrp@Rb=IQL(a)HK7K!>Ck)RVEhyQ#lQ~Tv9A=&fl4I$B
zRNIN7GU?%y@F|_E`@UNf)n;}T&hmH~E<HnNF|xu<YJ&4cdbCL@oEV0Nf+HAG{8S^X
zA>d>HlOJK0tM`#t=`6SA8U!X(@*|GZM<{3AqwfX=21Gqc0WpIXLcjy7f>KpAQ#p}+
z9Ea1T98PZBmr^HH5E^XP=>D<s0{xJGpuRr<S}5_FYhp!kxcXpk&&F#SwfO8=^pwyH
z-2j>+BMB8-F}5PkOg3|d5d<hvs%#{{Y$g5K?_&Z$(BG(ISnx8CWS^4`(*hk~D8#^D
z%|W4TY+$eHUO>DkeFT01F7(4r^gT!$)o+I*_2DO2@Jdl<kfcxn?rVp(t1aXEO=JJF
z)YaRC*|v-Mwk~jg%Y!Lpl)#Ek#Vp9rTJbSg%-Duj!@czqHZQoewD^?H=GYR6bvg}-
zwyI|+k`b_&F)rHkKj6D#-w?a)m6Ctl{?LY~WoYp+G<^GE{O?2!B9hbvo<s*fhfW1B
z(VQH2>ghjD{w-g~QnV8AE^<JVT0Lq!u!oO5AWuP!5Q++;$>IuNMJ2-K_4WSt<cdcy
z9z;R({@c&I-=;t{{G+2Io4ORmX9y}8kZESjO3@mDd)zSjYke9A_*JdmdCnE57HKdG
zfdFy=sC2{3-$0Dz)YA?g2^x&bfAzgR?PCyG_i{R%T)155AYhT;+<7nS-1;nx#m<h(
zIQx&JEjr=&w~eZDzR)&nep*~+b?U~aM3PKh*wg@-1q8%x(ZPjo7fMKsb-F)Pu`W3K
zNhuh(YR3;pYQr&r_A}x3vw;mzkmv?!{D5q~-*3M^6Mr~khl3?YrU2q^uHPT<tXizM
z2Mb{mnQ_aS$C(-2XAeGCFqkY_vpElxyO&5UV;fY2%e*E4pT>OaL2cjPx6wV@N)++?
zZ9$3=jYa$=9X1MYoM?d43eSwAiLnKrd9b6vXZDSF!r~9iAN^_GCj6eeJjQ?YN1ZmT
zL0tyhr0fnpb?13pDm8bpbqMMsI~)3fup(_~9asUyz6NEk?D$y*CtfuS?~RU*-kiOX
z_`5TNqF_@+xvxzO2ie;6^zh=2Ly&RB5d09`DjfYaM~FuJUQ_FMx#r>kZyzrRhn?za
z4uXW#BdS}%Y$?hCk9gxILVgO-%n)j|^jX%I6i%5VuP8#DXhnviMyyGe%Z!TFFErHV
zHmc~M?RIxxIF~%sTiU7!7w_BHEow5nTRKYd@@)FBTw;B*H2fsHkc3}zvUYL0P&(eu
zM-Zx9mHIfp^_yW`YVlw~u8_TQK}}iRz?3wd5~Ym2z=2v%In0fCGXF(*zGuAqCmX~b
z7o6<Vvz%n&9#w8pciZ%IDlI(X*hp|Xd=1tAM<_nXALCCwoHLI;thNO;Wh+3Ks>yAi
zgoG+U62bQRIdsORL`g{roF3L&>D_eJZ3L}F!2IZLx44+jbxaZi14CEWr)#YeG51f3
z)_^^+?xm5wzCMJgpU{g3>Q-DHmIJrWr^-=r+@x|hckzkJZT+t7@}j=5FW*zi!Cn8I
zO}%v0C$a+e6zfns@2siJWw$in*UiEt?v@sfa@!q_4DD#S`rC>^?gw)pKYmO|NLX5m
zL4Zk4!(y3rO5M4)!)s;^j?v-a;pK)=>f!R@Vo-umkam84K3lc0uC5Mj0>Xu<N(quu
zC{+2HVL?XPOrvGHO_Sr<Zwhq}G7#%TJ#4aq)Yi^n8EdXP?wQ4f3Ys2a85>UXhUM(q
zzv3NB5S;PPNLWH}|FY@VBjl{Dizasus!Lj03}E~YD@z-s|8yk1k$ZE|T3T9+6pR6q
z6THL6mxMbn!gK!K-7hUIf%9+mj)Hc6b;r()rMO%9)*$g1yz~f(1ZRyo@wBu==~Tc%
z$CS#;=Q30(8_qY)TnuigaYig3Tr}A-7_W<Qy)`qz2J^S&vQ6HX3XqHNCx_*sd(cc5
zSxL!G&P#eZ^WPqjGQso_$sxt$)YR12*vav6Vw}5zKhgMKc;I-_v&e;o1qq1BU2Mmu
zv&H-O!nB|F_Vz+ULtB-IwfM+n!feJ{Sc$9nT$AcmgAj-$^P1^}3;v#XavGKjMB$gW
z!`KOl@7x~01-f-{C{OV5@u3qN;-@YyE;4ylRaJe@%XMqE!dc3x#^(U0@Eqo<y8R}*
zSzb0q#@s%R5jY60=<DhA)<%YD-4lFb<S$;OrXHL6?NIC^Fh=IyBn%spn|n;q=sWV*
z%gZasNP$wq<F^NJm(3i$c<A1|yzF6}l5eeNZEbyNsH>~H=ICi=Ztmmb!%JN^Z)a37
z%lof{+HZ2(Y;SE96(E{3YF(W&$TuV9BF~lPimG0R4}m>jw?<Y%@Wp4sXOfcH8}fBZ
zj}Jh*UAOdAF5qtbZseBT*~O)#c*)-0o`izf3Gwco5H2om(MsT&j6W7<4lTiJQ&ZE#
zsPu}G)O=lIV~2)WStzLguSV9hads6R5phE`N7(%u=ehX)Wna^L9j+~F)Uf3~S2Mla
zlp5S)#q0e+UrI{K>itCnBgL}-wXS_+LSo`;=$E;7KFfWVs8m9Kgaf+O$)0ljdsKk;
zK@z5uxOp`}Bo7Ty=}t?dy>iYf>oX7hf5HTYlryp=k{+L)xX+n>dO~sIG?}l&<O$rp
zYgkOKAfQqM*H1pDf#F&L70LND*`+v%+aers07l<yv9_9@KNX0J3Jc{VbO68vyZ;yf
z&Yy)O9%rIFhQkcNODF$#3D+}o)MKxxAiQ6iP;|=c2F(7nOF^LSY-{+9A~+diQu+V?
zkhpO-KUGufZV|ji@KEjL#3P<>blC=B4g4R1$SIBYLrGtD02H7j;L9osu%l)}dGeah
z>o>>&Dq;Q!+Vh@ub#=Ya$cM)zCjK*)vaqm-7Qgq*$wdQzAW45LAnSFJVMj#2mbPJ?
zSx-2q-nh&=oG$F4oF;hMv|oM$ve26=j<5kh9pmZ=5OAdK`M5FZmCM#pGSBmIH2?@$
zgZ+Dwh`4rCLI8Y72vOl{|N2ze)U@Dzvf^_*oGC6|)d^6+dz6I_Yu|9R@`C@h`|*|l
z5-4{~#XxpKf`?g#<#T!T?*<d*On^u;knkNwfFj2TuJj|=L?5;(w&=fS23|;TDe;VR
zG3n^*FM=xQ9MBI9!r*&4zJ?d1ZS049Eq?t4al7+cylE@NmgLC@;^ur(WmN3Oj`-Eh
zK@I%4aXSO{iDw<$ENy?{D-iu(UehH%n~ft7zdezFsOsqa9T7fe5=vkg`1$kC&0W}M
zR5{9Aj`j$IDHS<6IaFOu?er&01(Q&k;MJh<z4H%z0YpD?));=ZnfM&Mm<$H1PxSuG
zP<r1JNf2Gh`4RTXez88?_s;<IPn3f%d}Hksy|SyIw9J2Z)aogcL8>gsFs_DIFh?Q`
z2G!VSN(y$IPGeJ3??g|oe0RrILqjq50|z%1KHY~Sii@E+)_N)DlpU2+epiMtSHlK6
zLE6vfSFuT%nGT{SH+Q>}wuyrlqDh>lQlM9zSx{Is7#T%RyjyqAB+<}%;6&d4EuuPr
zA@aYg2_`cCz6l`f5IxBqJKvp5WH+=Cm2+i1<@~TDSkk_^xf%BPDII8pFugkW4l8%X
z?{b-v;1d{9bI?!%&_S+%0*bY>M(yU`jpzn%zag$ZaP|IPU5&zx3=P?!Mim0%Ro(Jx
zYG06&DoLDhhVd$3AVT*ajt2m8D0tae|Gt4>sCIxm5ddOPnScG?ugFgRT>$a`oWJkR
z7i=rQaL=qjAM03d)OuZ7GxBqE)T4P>BVVy`EtE!2Uw>oO6Jg|g+T$|vs^I%~Ft1OD
zi}O9SHEuo|5%x*b;hMf#oS1NiFWNUe@%sJc@#Dt?pK`x{|C{DA;)R^n-dGJ;I|M6c
zpG?p7FqVoI=ibQ2$^{x~ail6DRmTNP^0Vt+8E6uU*Lj|Au9>_Ct&}dMda=HK3S%P0
zMmLl9yZw7ATJLqziA63$`~^Ic24bJvraXhjK36F(DhhkQk&PW9b+$d)0B<T{R*;nq
zMK(c6!eFwxaF4?UKBsk9iO1E|75LZgLg_QnvqnDlBF&r!cdd69i_N$4uhxP|udOnf
z3?ml32!Ql&^5G46S~(4o>#h!8PXqHLQ8Hc2+pcYhUu~zkcn==Y`~S^G&b}Y``n0J$
zHNVlk@AD5raRZpL_}%$;I3HaOF8g;0*fYhX6Yzt9g^DuC3l7V^&-8P@T=t*|<@$Mj
zQ|93J1_s95*-~9|`$y=gGgxd;5E@n9ySNO*q7&SV)1Y9}JHI^}eE^Fqht*vX`6i0d
zGg?6CO)Qy%d<o3qanJ4w(*~M+5UN;XseXg9)-=zk$XPV})*S9I?{~D+2;~OP^bwi{
zyLq#_5bxvG%k@c5W+VSA3*!GF?aiaHYQy$nL!~4#51G0tgedc@+@?gyl+2QO9y4ww
zGa*HhS%eIkhfop96f#d4G7lN=5WaJJp7-~@?^^HgTkp5Nd#&e>r@Quj?Q37xc^>C+
z9Ot#Ucz8yD`NBV!?S-6aa1>?4tOIm%8)J@CAQPKDOO8J6$)3QNmBOu2AC{w^uK2G%
zt(<Z+DNoY<Z($&j4V79M7JAHfB-K8^_4R4TBdr%O+&TqI#f#Iiw`gKg4mPu$EG4lV
zNv_XAMv%jOB3m)y-E+i&np)H`72|$2tpyHH#9-DpQVu0a4MOCQJ+)co?y`r;vv_A?
zrMbqQX@`zIlRmoJQ(xHKm8W&;cYB*6&pFg?^+8hH>NEfE2oOObAf_0ar$hyr!}|LA
zwDPn=TOcOwHJx+Ne>f2+V9_BtpBY<Ff3V9}_a|LtO8vW0aD$2O*4Qt9K$7UQ4e{B^
zGm4a>o$MPQgM~?PAdRPV%j(%A?|j@GZ|2^oFVXCgkEpKWr|<~d4Q)b{S`T4+T4c|?
z&>qK&=wUNUO9h2_Z`_1lwh-H~4`QT|!IQ8+;CME_`a?7t!VqF_Nms!bUvTS;dCn#g
zF}Z#>I^6B=h*Z3W$eXQAeo4q0_1S1wiN8Erk09_yO9**?VAa?_QIY-HIZUX|CbQ;j
z=fO6oa&_Eq9KI~WjTBfJ4Oj={{3sbFh~0`L^DOb7%(IaSeD!~w4f<I;r^y$~Uylh2
z3WkJ?uddc{i-_o88P1)X`u-5u!dz@-Rn<<Pp2I#`OhSdpO-1Z`urmvq?wP>rw1y8S
znpqIW;LDBq^%&<qU5nb?g*-I-ks*H?CMQj!nm1k)`aIa*-SR-jeQ}U|s1jdzVE@|)
ztCjQq8R35$;P3BpWVH}LWOlovo=We|)#<srx`u=ZsobFL!+|Yiv0A!2G8l9A<XuH>
zE-ugcH}RwrOZ>qNR~~$OZjtP1zVIUl79mX7`=*T4`Z%ykm22tfge$@8Xs;15O}mQQ
z*w`Gd$JhS_DrjNE_Qz&L4g37P&*MaR^B42)e7GP*SsUmo^PTQl=9TE{oIfcY`U?yo
z+4w3ef8|4VS_y^A&8JQVH;j4&UO!L%9xAOwyUcTBfm_!x#m1iqDu$Vc0j~>{|L)Z>
z5`rebnzKm7L0F4hzk$aWY8}q7^_7~{z8^nqhe~r`e&h7)JrDPBa4_ZmSB{j%drzPK
z=L5W_TtPLy^NT%+0v%Aue-3EkbKoP{p9g!Zoo#KB##2W?>h^6EJbh9UVGbK`B9;F0
z^KuQT_#7*_m9;fuZEw$v)%-d*{_Wehnw4r5?7?n-eaFiy4MT9W2+A9*`r&E-B#MkZ
zyw6yDw&Gy>;=gO?KZam;G=$3kGlb5B#7#)aJPT$p7EG}>&VI4EV$7@6TJpg+Dw~?E
zQ4@<7FJ7RTn|$~x;v5<L`NmjxPiocxO#}Z4axLd=T$0Dw6_Sk1%;};A(#7IM2#d5a
z9^<}n0!fG-;vLIwpz>!Ak2OD258|#~dPVdK5v|-a!4r2*9``AJd*IL~($i)6WB1B-
zw#Dw|JY<djtumW_cd^fj4s~1@*i8|3^i@rASFE}-(~)${&U&GR1r+I&<c0m`_S9Ud
zHY>`?w6Lc4k4uCrWMI0-#+Z**a;@^Sf(w6r@uGveIlkz1^LFVe;R3?XD>D%0u)lBp
zo*{z#onnzUgUmDP;R{3yRSa;tZex`XT4`+Thtcs%!_ID&Id~s(GfBLcKcZv!mL#%<
zB^O(KR{|mQ&nB*{->}55U)Xlw`-A=uo*P&*$a-t@pOruw8g`(K0c4U^aRS0!WzsC(
z_l&NjNnWcLbG-AhE2>weqi<9FR?dxDI`~Ay0{RL@C61@d4L~DAtx1SCXJa&ONeS6U
z2Ae`wl}@>ZrMav>(AS5UCzy*e*8Pgp!(z31g>3pFvJRjmgLlG)E6K}$fx`G*Bs~3a
z8s6fo`vGLqqT;*WA6=9GO?^@fqyIhR%HyYG?zXJJL0b^J`>fO9D5>=H&k5H{-o3L0
zXUm$cBo$xn=CiV(;QmFa>1erk$e=HkeAVH>o}v)~=`HrfiwD0Pfa)<cw1;|^WwtZL
z;lXpN<<%_J#J@)C4<#|CC4;7V%zl3+rkC!GbhzNn+5gCXsB-UuS1YF)?jk*l5(7F7
zt4sC?Gv8it-+~-FGNPZ|Bj&k2y;x9FP*o*%08gQ$Q@ZB&=hG@TkQ+<x-mv>2Rd2u?
zH`kwDn_pcSttqUUNwDh4@~kyXY}dYh+i}P$TWWu^XKnTK@9m0>bkWgKmrg0=;eVcl
zyf~l`bO?Y#j)o96*kg9?2raSZ@Spw{CjTE`CyW0NBqvVwCqmG__5Y5x;Pp)K`5yq{
zf4R;r36Bw{;B-!TdHDe8&l{aG$of}~*<Zh)j^w;yWi`(qMAZ5@@HDmjD`C5PfD`dD
z=_q_}uyzq5bd1D*$el*r`p?||d~Ph`Ojkyfv{#4NERRv$hq^jxhRCL6x7Y<$S?h^u
zeEub+&4$Z4W5+US)R;4=i64@*F?o!f$22p#w9Td<%%RwuJtHL+x6%U$@bDS}uw-~&
z+v4W%qHh2k^jI1=kCFL1L6&{<)w4NAJiL#Nm@YzD<k=Ll<cZY${C2NshzbKr@I?_D
zeDN&9pT+#}@2m{9{LWS(!i#}gL`z%@ma=%oySzNTQp+yD#wEqY`j`6~Ln+Z!jvGgi
zR7C;RjZu$r1Ni=ZGxH*D4^ApnQ|nMyWGb`lN{1?AVxfN(Io#_Im~2au5J70ZE*91^
z+nCceO-0H0?apV@($d14Fg|?v0M!(aLA4-7sH>RqVZ%yi;%^v-f%<baAWEG`iI30b
z3=_J@pS3Z4B?URyq1Mrdh{7J<`fFq7L>CjeZoS|Bn|MQU&vmn?<|*f@rl(BaKhzZs
ze7AbJwcpK+dynLuIVX&~hJX6z%^S6B7cjNQ8@TI2B{+Km-lGhARQ<VpIL(%ObgY`V
zvifs+0dtbeCmQ&Zp>{z*b!q93U(QesFgZ1npQgR6U+d+DYuXp9;FbIPv)pdj9WqJ;
z_>$&bX=rHt_J+sDicI8YoA&?uGFEkxew>p_=je)^LzFjVF|X*fA<~-z)c~wah-HFy
z-&b9WBx;*->)uOws<eG6Gx$u)uPl=1mmAt!TlH$(?cz^5)bG2a;E?e)Afx{JxEC)}
zU-EwvcUD(d=XnNk<gT6j@{rq~iC`Sv*9dxn+`K#qmZC!w+^ni7z$xss#Q2U{)TcdU
z-;cZsP&Kp%uYco~H-iL?!mQ@0(Aw(ZWoE1gv)9~td37&aAGj3RT>c8h7}Ubcj-u6!
zJ<IO(@NbfajlAaHVD8+zXHBPo%UB+G-$1+yMIAGiU&4K9ZaM!fIh+^&(l2>9F3rag
zux49Z+tT_anDCwTU+)o^G0&j=5<>p!m^tr=Cs>)=>|U{0G7{qBe?uz4z$S0j_VS9<
z%IF8rlKw^NnAfjg6EQ#h8O~StHYaBXf;stKk0)T5twT$wX_u_BleXanK~NHT0rl?Y
z<_1O@pXnIIcY6IdZrn&nOq8f#(KoEn)Y8%=m&T2_7$ELKLPD_cb(4160oe{(qzDNL
z+KyJcLA9W50hGX>4lavS6Wsnq5^*UiDk`%F4`7}r;Qruo0+c;>fI|M%(ZMpC_!nML
zVlyw}jr=^v>wKX@5pr6dc78SR6df=${JQqTQ=O}Dy3kmTM)tuJ%b}&UbuN;V;|VnR
zX<}k*<J6k%a5-<EUweX3pJLC2aXtI$`HPE2ga%{12XFK8&dK<FctK0cbN4q?<Uats
z>*&<OlM@;D*{F1y5})0AlsqiA^V8Yc8HE_x$zHj|#i#&5Ci&ZcYqg}iyW3H8WQWW5
zwItixAife2yBCF2D3XjNV?PFSJtuK03ASIKNC-ezli6inUf#Zk=cAf6K)deD*vcv^
z>-}~U-Qly#Y|r~)6s#EF&S2&Y+yUC_<>rR9z`~H4D^lbv3~!nK8oLN|Uw4usi?1fu
zR#@-;{V9Bjfm`o?UsQWN@csLD&weNhz`2Knw57<@Z*0SqxQ|;Vm;=Q|u@OjXC>o;l
zuJA9lyywg-i|W<oXV-|l?8$xwNI?9#ckiC~>b-K?S7nQ^zZX8#M#WmNOH1I*`(wxH
zL;cPwZC(szrlVSU6jcFk^*UIhDENCk-;?bz_97-`4G0x&EU=TwUJE(rk-F&4*+dzn
zE(8LuPe`zM>deecGqd+iER=L+4}Nu+w<m1D%Fw_bKrCeWeS3{$cs<W(|Jyf~D}>8W
z3l=ex?ll5euLend7`CtB<>1KPh=Y4EboxS#Ss!ufgw^$>9Kzi=Z45-{y0o-3mpy83
z?WK__fj(o|g+*jB#b;fayz1xU(;ZT{k(D!$4wsxpI_z43sT%%u=5WQM-ez?04^T#1
z8?0=*@ZfH-@7Bf4)v$Kqg0N(pAq3K6V}5&fJ%aLPV;?+6aeg49RyeomIn)ZJHq^lm
zI!(hPx;=28`_d%{fk2DGXBYNJSj$X%Vlcw?yY2%#KPaV+Duu0qpHN;>$B;??Np0P3
z4C2KAS05qJF<0!AI{MyR*~-qYcB!}(VvA731Xq~p{<-wi++P$hF&(Ft(!(!1i!uTW
zt}<C#=Y5%*J5kDeTbA%{tyh^)Oy`Aoedmu&Y_9e=P62@pAV*e<yX-5F`1ttn7C66l
z&+~Q6-V$CWFNLqg(G7abr4xBIi2q*O{z7YXm+YO>Z3E7*t8NQFV8ILYE&0Q3pflDX
z(CFSZG9vktlZZ1epazK?)rDi^mz=IX;l=c6<{1c+mP)`P+=Q|XH!E}KIavIlHI6qC
zDnUq365gk_mo(JGfCY7k_bA0@MXDDr+1%IA=mB)WfkD%OgFxk`3GC#)fXhauILm>~
zWoar}TD_@rHAVJq;k*H^vTQhbD0=K(D)5u+yM*Vv2)Tl}f3Nio4OvUgeF#&w=o??V
zTS8bp{Y=FW*>?+Wa9S?w2mU%ME9)W^v95>`kKu>Ab&L{%>84XiO%pCBGm|~%a~xmK
z$L}>Iwu8krt98S>9{xhgoyTeQZ|m#(K%s{_RGD1yl2A4su6fM?5vMA|2S`k~&6u)Z
zKyJDyDh6j+(Hi-zu@YEXS-of8wD>t#lrrpFG`PFF-c>FA{TAEi(WrN)Pw6Rb5?xPc
zu}+m8aYBwukC`GYgpXvkwY7049?8n?;w&_=AcdItE~BgF9?~PR=rjH!By68)ywd5u
z1N{HF?V`PdZ=R`#SUO7&Y@>O}{xpZo&evOhcXV~DVE;hzvG^<A2r94Lo|J=9sH3B#
zcP$+~437tVVy@8R2z8aXr6xX~8A{24tPH%Lf*Yv?MEa}M#0`q)Z!fRhKS3^QyAucO
zz-5m)H<1t*?}sv#pXk#%No9vHU8h6q#+5b+!`vN}Ht8Nz60kVDr`87C*|XxU+Vgj*
zq*GjEaTp46OR1unfcZ&)8O)jygf!<K_3h78FrV=r=$or#E-{A6b7>g)<;P&@A<oUm
zSN~@c`fK*a0j&=w5Ix-6UhdoE4=93Skh#8Ttkf!YE49@#9T3Q)b^!L&#DT*0Bb9#p
zUi3fS3DYd936O{S_KXK#dp+E+_vuX6Z$EduZkkX-rOkbXbQa5xa@W$E=Vb9^Fz=3Y
zoN1V=v*~-M+ZP|xiAZkT#MMG`f`Xl0eu!&wMMhM{7km7L18Q?Et==$d?h~|!vhA+~
zniDcNp_rFLhR85W(qqTSxh`LhQyVNOL9>tS)H}1Eqx10MHneQ08#n-Fipb+^kDw9o
zDJ#SItqkrpzEIg1xEny`PRN3c_W{6oU&Z<kva?gG+U+9C@!Ik6mbT<tBPEfo<UjL0
zw&}a>D#DY(<lhyE9T%bSm5G@nqIIWb_W~sPhuow+OkGEZmN>9_i9x_TqU_00;d*&o
z7K%A^J&=<}HM^iIch<76I0dsl8P4ZEW>42d=J%V>=3bX5P_=zYI>;^Q9rRU6qxTcx
z?3jVfivcHVqC~D?>vnq!!&(4UY3JYT_4I}}e)0LOh2w9Ve;gfre_t_5ETf>HWA~dU
zXG!J=5HSWp4E95%^N^)!Vn7ryx3KWAGP-le8LEiTmhLwy`Ft<<;FddVK9VTe+poye
z8n9y^DtI3tJF_(+b0cg2Jh!bZNG(_y3A_xt&^if<{h!fu!B4SKn^)IW+Oso2WNG&D
zrsch-si8p`ip9i)6fE|QwI_<`Y2<<q_eLci>X?eOv<avxB^KUhyt4pY?7J^{Pn3~a
z!u?%{nYsA^ME79;>?$g)(2?Ra8H#X(wLIt2c&9V(BWTld+r(sobr)2=2l8kxaU1OY
z{@pn8^Bt;R-70(rfH$Esgn#;!Ndg$3K$iVEMPRIwy;t5dz^bSl?`~>RSTuYGP#O}N
zZ8HS_a@(B-mIHpL$;R&PJBy=rDDY$X4P*gT3?!}XfgS|kZ8pKCfL_M$FOVV?pnL$?
z1Wy8bMrzR|^6i3q%{~-w=jQb60%vi1Qp}xc!OXjG1wj#!e%POS<?o7$Zet~xJK<q@
z`Pj!F`vA1xqdG4O0Ap~36eW3LyL+#e4%&+y85s$}9+(&o;IIM?)dZ?gEMgjoCi*=h
zD5si3TXtqs#y#(|aC9p9!2ZDxO~&2=)J%Bl8tk0(t~n4}e$_KUE&Bch%3&V7$bBJi
zUpWy3Xc^|*MLcPg%ng2Pe?g}{42}j;b?Ho&>Z{JF^_)u!h96?s#vkvl|NDzCA<NAw
zIwb`P2E@xos~i7K@ITWqpC8#U@o?#V^NBU>=Fi?xoYWxsEABP<k1V9R-K2z_R<1NN
z3WVsannHL0J!~;QDruuy?4!#t;|f_p^M|qKuL2aXVO(X?SII-`4wW|9y^I|>e=6R9
z41=x;yP?v7-3v*v(N+ln6zczcLHJPJB_e_ZDrPXKo`zKlGj*=9>i}vW(2VL+Q$N~Q
z&{9(;0Wd;=x>bTx2b`-70&o4{{wnI`X^LW5b+3V{3l`5B(145i6@E~R8ZeM?E)mw9
z%CbVAx<!&(-1w@8C?n;?o0Wi&a7%;t6J~y{BVLC!8X6iK*)sd{>#ck;>n&{I;o)||
ziJh|&OGOR9sxN>j&G=JlS$_66$}zwhJMqt-gXD7Mev`iQ*9&?T_RD+oK*`l^(MZ9+
z4mh0}uEf4Rml1`+t-!!Q_Zle~nL{8%?p8WZ03kG3yXN0v=W<u3l6j+g5ZU`@#sse&
zRYy=9{pFhBZ)e75^@Ih%1SD8S|6+b_uBj6h9-aa{g;aF;%SKW<yPG|z+2jZTvAg~I
zO$X=CM_n_3B?rpw5<~v}4wktI=WgN|gD&{U)m+6D4=*U#gf2$O40uqPgS9C6=_izk
zT2Y@p=q(v|q0Igvj$}Ufyl0a<-hGiFoAVyu8?&nz74BY(Fm-yEr=p?)<gSgBdzJob
z-QEglqH)nsJS#u0-*E!ua+XE^(JdR;pM7WF5$5LP(9atyR8-dXf}*9!<n{w4E16@x
zB-!xs*cp+HDL`_p(v<{cM|6ZNu`z|j|AKV*UnoWY8}8!2UIu>ue^i|Qzh39RU8WpM
z6#Wq98RiQ!x#a~iHzgD4(fvvNB>teOtqsL1e0c8`u_B;`p`Y&p#Q(p3@;|k*|LbLp
zVFk!aK53Y^&6&v=)-zu^yc|l398JcF2m<B|eTb}pOC`j`P4zw)I+&QGb<V07Yoep$
z2da;*9ZG8WROk?4-LP6U>73~voaU@_Bw!eU65^t`Ec!R+3Nven{GbSf2Al)n>f=C_
ztQg++I|SOk45Bg*L*(}M^WHq26t_NIP`nWP3h!^vxkN@B<p7UJ-dAw82LDGv!I)u>
zdF49W%Jqg<c@oZ;6->jcnp*KnI3WjuGqxFYXgs|AH!rhZ&Cwl9p)?_yZ<@o>AJ&ec
zCJfN<IDnuD9}Sk0+59dCY=xkz00e9}Lvp-sls^L0xkBBNi!yL>o(x|#@NROXVp!}<
zM-nK+ouoz%(Z=w6&UyTxEBNqsW~EpqvebGaYu?T>ToK5#qoW3>??c>4i5@@)Vx0PH
zk=Tcw0#0m``SXcPyFh;spxe;UJtHGjZnR3+25sl>X12_7H|hsM_Z}E|ip`W&RS}S6
z^e%C8lR*^B*Q+puh!Q%7|18jiZh3h*%XHDOHeBh)45c~%)H}Y9j-$Wkt5iVXw?6$9
z$cDSsuJf<OT)-0)GCeah_HZf^4MZV4kd!tw%`nb;%M~E#fzp<;zhse+725LT6eSoW
z>S06>>>v;AA*be#KfA_GaYeO9)BDx0YwFlC`k=1ne0ubkqBWo8`NP3YU_k=wPol^z
z?9lKqL{7?Kx|7EYJ%3S?>lPVbn{5KwQu>HvL9Kr+LE-FKoM9oHwIcjqB7{&;*MB-*
z|G1BXsg|~a0=!8UNCa_laa-YGC`gduH~UM2CGuv#Ksbe;{n}(-kq2r|L-!Qx&f7FB
z8)>kdmd2D0IvTt?8D5@{lH`HLB?TfV!fvGaL3qgXxH#}hUS4i(ZIw3z--J^H`B!<Z
z-nO=zS2FHpzS%S69TCj=9{=J6_2EbKD#ng?jG6wRJS}J+G)N4D<f@Hr(Ade>_V!0p
zO!HSq2L=YF@cRpm4%-Ae8~xrD7P2&1#z=;Rg?-bzcPZ~)qacZQ)>~n6^>lKfk#q(-
z;QOL*Ht4lwoo{Rt)WKogu!>gZ=0rg=o#}*(9xs%Z)G#r3z_Xa}0X?>7*w$e059F%D
zU8KLB`F(T@4<l(aJR427_=3gZygY0d7DgXS>`SV+0)PB2lnj-`Sue1=;g64u_yDT2
z1I7h}M3A>ws+Y>La>zgfN}(eTM5__E!m$`_A88}tW(^FIT7MO*QOCEwc=c)?x0f@9
zUMMqeI^O{-WVa-iky0ppe?on~0HWBmyN5x$1P6y=9i!5CU|E;-_tBi}<Z7Rt^?|4w
z_vPIKT)m8~6WiAT+w%0I50(gcS3EqqXPL)+SkH<=2?FwzgzxSq*iBNBI8vfs{cDPm
zpdxmA)m%_qd<T2!(j_m+hssBvrDjAmQTU9-933@Ow+svnu)fYT6b(Yx9~e4188*?;
z;+=|#IPSwwCpi@%0EPcD>{ec*I!OtMnr8E!>|5|+#<bg(%R^-x$q!9u4S-k73Tb;S
zCP3O{`uvKj3&dbB*A3?pf?qH9l4*juoUZzP6O;2BM>C<s@jO#cp`f;QA09Q}Xc02;
zxm2JlHbuXF_%geZ1SuS|4icbSd|CrO4PtFQq}`JyvEk}q)hKXr>GBmuvEkeRXxUp`
zi#vl3H6&pA(ocw>DF1~DSg=h2s7e0p?MSq*R@UmR-(Pm9-)VOsX*e4L=9-QanQ{II
zD5u<@I&lhR$WVl*0#Io?fwaNEa%d!-6N3q3DBE+j7%Sg@l#Ar%S_&r2@gF_I4EUwP
zwJ7An!R{ia7{VGjhy)80feCfBM}PqY0;M)A{V$L>d^|j_uRgfp>A8cFQ`*|wz(sIm
zktsa@OW*Kz1;aLp#{6!ciM3kK3aDUZWkToQqraf!^3{#(gH=LbfH6NE$%z_~5Cn@c
zDAxys3DB<w#0_vORe%BuWh`LuDpZy<H=hX!4p(o!=l}f&qtt4j{&3#8u(0b+k?`UQ
zJUlG>An_juWN-LAL){_j9J1(m9TP${Khrv~CKYw_%3<EoBsOX}pGhO4Xq|8j2{CnN
znp<<|YRSBw(tF|vEKEYK`a_n|DU$O&TY*3-;@Fjp+%X6^kgTwl=&y7$9hdyg0^BkP
zaaY7`Clu!O8xn)^Gt{m`E-l#>9NA2iLZ+*Un3Z_s)xic~OxF}ws~R?DKct^-NzvPD
zX?f>S^VC<U>TagrKL%Hf&H`k0I0>)WfY;V9ZD<LJh$LolnTA;=#Kj~g>S=0b-sNsU
z1D))M`bR>8!R2iz0U(TyLA@8$ZoctQ^7#rnGKz2l=DAl{R&6?H)@AkN4`o9C7?10J
zRBF&~{<~0fbpJ~D|BGDzUzD1E(arz`6JB&K#NF#@w}EpUUWS$__2*bc^!|(mGyI88
z@X(R03|FAexN`ZPQfM)SL&Lrup$WDp1k7|Vo0^a&;J0jt$1mlw<%+423*~YveCLlq
zjh2)b+5gG^8I;E*`SC#VhRWlGR=&E9{g0V4VFmf;Z|m~Q3vS-Cwy^=PBIP-D_*sAT
zP~|0m{I~h}qviEN3oT(<t27#A^c^3Tdp|+)>=C4-Mx9Ci>hQ$r{AF2L5sZ3G#olF&
zGI_1+g2klONc7(PC$8g@k;t-BkjqocFM3v3Q<59>PccxUUv0uXkof23cK4t3+!(im
zKf*JvRJXz-{OMeUz4_(jR#B&*78^T8En8sB<Y>(kQvLpjXJ%n>>(XY<MAk}Pt&NxL
z&C%Hnc&5j&$O-fUrRZd_a&R;+Zsm3r4V4=SiNCwDaYNAbw1{=g%=%>8vuDr#K`6$q
zrc4iw@u=jXy!;SyEa1~}Z`u2*rHj<Nw&m|&iB#zq91BA4!I%oYCUoVfCJ5%dd2>Oa
z<b6g)gP>~7X!23m7RrwwoX3YYGd$xKSc>=>R2R69K3$K{ds1Q>AtY;j0iAMGsL*G8
z7Jzl596Lo$PL7qmeR-~jY7eA?Yu6qPFRQs8?U6f#@R%kafBM;xBvG+scU4tgFqkVH
z>lQOp92W<b4WNmC0Uf$F>2#|LkhL$gh#pQTahqf``Fz+#jA=pw^GJEUvRNV6yuE5e
zNzoaXEuLb2Xl&No*JnT4&j^7_al1ax15BI^D*_NJw=3Y3QJFM+G;1iGfvIi*v`0?f
zkUZ!cZ?X|$diq4bO&fGVe)_|0lA9%%b5dQUUY6+}lTfF+kc)_8*&$I%3BupN;|f9t
z7M2dL*g^j{10U|_F&tMsyc|YP-7{BpP4FFOSi?k!i!u839a8wZ_^N<_{7qhpxjGf0
zA!-e9j|rb!yoP=)ibo8?{xv%rPiv7IL&H15V|w77XO-)f*w=Mi`?<QN=JW4(_~`!2
zJW;TR&(>;R0baIi>h5rx?-U5KX82Xr+e2O|=&CC?IlYHa<Qjoq7S&MsCw-*HK^_ng
z$OGSSM%UYrkb$dLuM!gz1IT_HfQF4|4BYKQusVTL3uK5g?TC`$<=k&)pm@W>I{^<M
zghgKcwVDNzo`L>J^s^JUKYF;jLMRUdBZ(jQW?6UvnFD~9&rDB$y!B5>L064WGFb~J
zlafhoe%CEAF9TdMTKwkC1EAi5LFEDtBADjL`iFOR9>F)#&~O1CR#*$v-+G3IV;)lg
zk`DnaQpa3Si348_$rS`^?8>j&BiK$@aRlp<H!J*&%58N;84KRNt(;2_-|aa7nhS_<
z8wUpjY^_0OnWNWT4GO`|4(<XFKxB5NV}UTz(bAf)PM)ho?<Vu*0nKj^D9^^AnPLC6
zxL!{wkkLBWI6fokxu5=;v?M3MCbquP#DpZe_v&a@*yUM`m*xS?at8|QlQDl+*U{F!
zu+RGwu1`t+O3cOlkW9*^kB58*>hKffH2lO+_5gce+B$ZzVWwB=!u!KZi|xGLiD-?W
z#QtoK4!uHV1dL>BYYTHnQ}f56oL(d-I!FKb2RLNV<&0P;Bvoal>z-4U7kFJ2#Cw0S
zZf1WE$02+jy%Da=`r{uUV_!`@=aJvkNBPM0euBA+O9@w)N#|Uh$U+O1yq%Sm$-SdW
zcmKyY!PqJ;yagz;J;XB431%D)SiX}~uoz?#GIRD#_V`tKAuV{BSerSzAyQLz^*$ot
zDgCtmOVfSdOsG8hWM;PX<s!Wr*zEuD7eHD8mnj(AKq|v!`?|T6mHCf|)U8EcBO=PY
zoY)R&lA`xbHiZFT*Xndmpe7FfN%itDcYKvUQNs|)iF#b^YGA`e-8ndG6Rb~sbR=Gq
z$>13@Mp~{B<S43BLAR5VrofQ*KpqiwsJWRLzcRW7{rwgk@QpMzUE78FLt4NK5hbxw
zDNPeR47wpu85N-IlJ5+5`f1<2E6VeTfGayS)%Z@@turFI3VOD00chkh|M;v5pcl%G
z(8#lJMOotaTlMq26(j3lF#)+2;a==7g!4UiQ5FiY0~BrSfL2kPm<$wd;G_dU(qWB&
zgf`~dqsm4h6b+kf75H@QwtZoN4s~J<RC!lEhvh(ckE9o9np)f39)YG};=uH-x1;tz
z4>?6Jpg;VKK^DKzY6yrwZ}5hqtPpD1L#prQkBvS)etM;9mRW0gmD<l(6D-1)<6Eb4
zAhDH{gPneAjf$Guvv!O*g@QB~w>l1Zow3Gp)ln2SJSdfP4(P+mEP*7BnRKp-yKLYE
z95J76@iaKJmg@-O+RY`vUReM=BB(v!&*NivUiL5Y^6~Y%Nl_uhp&?MW4<0PyF4K|p
z_4k8$)1W`2%hKE1TdO2($Tn+1P@Y_)zs*>b(caFENyMH}2sQaem!Hu7sAmo-*?W7*
zn7<OlEG7we)M|&4!C+>9xf~pJlV?qWroPK=HE)0eEhw-bKF}tIqg;6@EJ;JHHs)>w
zA)WiHTq`7OAM&&6Zf2I3#|_WGzVR;=dPy(_JV!lnc4YTCWvg?*O#n$<dz8j)S2a;F
z^cYo-<!bbdyJFTH^kd9!goaoGzAdV)zR_d7vA$0F(BcL=MGRm6`*1lv7%pC8^Uu={
z@#IYC6jW8)w--_;F7s;zhgd2giYhhCn$GD7ecfZpT<Oq|Fgm7L`gTT`BqKk6d0fj^
zBt|I{RHmGqui%bX*Xo_!pr)eQyrOjkBdD(W6Vzp7WS~XJ`o_kdA!9*xb#-~UHd>Or
zlsz}6Zex>YLZ_bCoI56uO|K5Y-c+UfqRGT-cRrq*@!Ug)T*RH6jgb`hu+*6U4`_4{
z6L`{J<{ChAheD(6s~_EW?%a76A5R-EjYbo?YlJT^9Lyv-NCN?3(Vox?3am#fkR=d`
znY`xGfFNPM_weIeP*Tcuh;Fv;q^RClLQF5^hTQG%t~U!)iprRDGpNYLy_I5{<mws?
ztj<GNC%OJ9Ie;R6Bx^h^jwVu8X$TGdKYok=;D@H)S{(E};6@)p>48=o@@63H_fdJ^
zRfptL;8J+Q46uwhGMl%p1$hAWl<XD2u=4j3GTc)pT4*k8tK?&s>)r}@3?KBtBA7VM
z2tOce`fr>^{;z@l1l9Ndi*>r93A~0$-Qg%(OXy|5+5rh1z&yo%=e>xm(b)O&o#&|`
zT;`fs(~aI7g<w-xpjMe3EFG+@p!1{1!hM{&%=2dNSXY-xyX_HK#p<?&WBvm*T1ZO;
z+#q3xzg?H$GN=Ux#b#gEf3+4?FXSE&ZGxyf3Vg`E1KJ)?<E_;*6?lU+`DTwTG`ZN>
zMPe~<$fSM&6a-+FUoM+T*Vs%Q5O~)*qu!pMs}{__6P-oVv$8I_<X#h!qwx4%Wz{>*
z45YHMvRUU;aD%$Ke3uugT$!HTlKWoB7M!zz_c3JA0sjzelOZio*z6&5@R)gFTZ6la
z;kGQWps2EUq*!(-7TzoS#!xX{!E*Sg8AO#?f5YQ+R#3!(OBrP8;k-kaLr*{w?(W+V
zx-_-iL>b}est1^1WO0G*DWkewZr5c~bL;b3XUs39hhzonwHI9qyLoAonwHk$!GjA$
ziZC2JioE*cKEA%SArOwX4!>(p!CJ>ZUg`)I$<ws=P@l&Xz7(wz1<;hh<tO3<6|{oq
zzX@p7yj1^kQcJrc?iE-Qm{8pM{Q2`I*VB|e!MnPx!)5wb;q4na5)Gl7!KzxeU6#oi
z?Ne*O!O&1sf4MyB0Ubp^FkWEI>Y9>&c!5EkiuNCXl~Vx8Q3zL7ut;P}e_v?DsoU1r
zb+{fmoRNxDPwaG@`Rg5v$y(sI8(S_Df`gjDHpk7a(o<SoTnrYf+nhfJ=-!?}1{W|L
zsU|vFiCI?er#y}gf0zgvA0NZ<o`3b~RhDj{{5=vywRnTvt^zEZy$9*kEE=6O`^S}+
z{`%FUy*V|9!Q~9iCin~ShF<e6Y*9R1Tw;HI20-R}{HrxSYLlD5H$))=_=2prK>{_c
zmo?Pgy!*BnWbfb4D3e!zj=*V_2K_jqvIHgbnm9X`2X9F$a>PC-6n3;&hjT(J92C@W
zMg<*-u!smzz$Z(=p`9Ys)vr?gLrM0uh;GSvXb2ocM{rLONQfr?rVjK$DXHz(5+Kkx
zusT>`@g<BJD6GX<jdz}_sHx>zP@hAJ-)_!UYHser1_CxaKvkEk=h9JQn=p7&iAXY@
zJ|*oDRBhk-m9TR7rL>AYv$U-2OSzzsP~i2n==qR=4+eGW0zwuaH&<*(D=X~Xs`TH#
zn5B~c+TPB4=~B0#D!5gKAqU92Lp*!8a7~>l%j$+;y3&t?-Hrr)G+W8uSab;W21y0s
zGphRwOC0r20I5wjPzT*T_heVl69u9PmU{lIO#$Q80q!xY$;MEy-2+bmJq6=v3kB%<
z(0~L;a`VqSlpO+P&||6Dm|xVH9CL;~=sc!-(d$eY=R*B(NQe?>4Q?MvR622QgB!{F
zB6Ej=-m-D$RwLM6c56<Bn&SGc)V{vr;;S~cADXA2&#L8HF7&#TlNNA3jfjYVCPrqR
z<Rf714587;@zZgUQCAIqy1!$%IvhxMn^NbsMH!`GtdBpXHcz2mlpwZ_WZ>gdH==-2
zLO@z+j-W3A-}WAmgopd}hy7E<dV9$BvNya9M)C5cOtHn>N>hf~C6O-??##^Ti(Yr5
z5~K_YXvqzt5`?eFM^=XC_s(FkZEtx;{_L!rs2MfX);6~TSP#~_`%Mw3Q5LGZ4iZpx
z@IG30k9+?N4+|@(nqeT<t#bYaaH+p}((#<It>{YS6iC1qFfx0Coye|BmES`&tQ|G!
z{Q*TSd_#p0b>s-CQr60O<xXhTsx~f3W{plbMzr_Y-XIgeDr97-e#V$u7aVG?V$$DM
z3+QMn^3yF{eS%e|su^8z6n%>_VgBmocpjnS&aJ#C#)STtV!!=ea1gP$v|WKFFEQX;
zot+V9EHopo0V>ifv+hN$y4&D!pHUSV6~w6HzW#DXoq_N=$T3u*KGPv{_!qS3CO@EQ
zTLH0A7S8eS>WaLLr*A4B@)~{7U-er%-Gp~UQ~S9|JF(T*jt&~~C<@}Rw8X<QQhh;&
zEiOChMEjv?H9o%dIpNOjg)HRpV{K?1cOFIaYcxAlK{g2})oKV9$0*75kPv7!xvZV%
zQ338JAfyzRw}gMjJgBvge^q@S%BNZRDkuP_sA#$spk!h_%h?*gEVOqfu~~CDEX36H
zt=C@Wb%*%9ZUF%SUuh$E?+kKl+dIXdXX^XCd)O25g=&z-qCvsY!CHS>^<}hsXR@0E
z27-4=xQJl*mou+Hwd>YGuf=O8g(#N~!?xuD9imh1VBP`ob=R=UYkIEw065?97BH_-
zP~fHJTEkO>WviQJ;ap&KTF5dj$hls;ioK+?w6xXtLRdO<>djj0{eAjW^38dpoKCGo
zWc^1IL0S2C`ZhO(^zF8{Lk*W!zQq?({{uLbiazm_3IoD}I0DfJ9O&RJ$w*7PhK0sU
z4(Q{9=U5pzBcxi=T;sC}CY#+|FD)$;v^8^3q)KRM!L9>a9>F8oYuE0oQvqch6Vr9S
z7CPLez()^i`W<ALy({Eyc17;YpOJ(ttw66=3S)CGHRn`*h&(_iV$$|E_ZzVLHEOq@
zaR3TTXzo~t;pll#L3Epi-l0mM4YAXp<|jda8bJdgwsFD{$cF9g2ln;_owM8pc{aAT
zkfXcY40;5E8@l@X%*jN8?Cdr63a=X=p$iGjnp6(j+I=mJsG!DLMN;R#8nwH-3y*vD
zsl>|Mp@#I~UwF&8xo*_(@UXlYSPQ|m*B1vpF!4J2PJvqkg6&`#fo44;SZ&Q2xz?;_
zi`<i(n&`nb_|b8TAOx873HKT}u^FX|h1G4l%@y3V`q@@Ks*NHVW&;B7(oT)u;Znzq
zOoCf}esyJ}D8lwvcgQ6E1DOgs8WzDIKzt&A@X}8=gTlhXRl9JlZaq@iK}OI)gYJ$}
zD-F;|;apM3KD%=nd=SoIpA-kt+);y$M$|*0LzMB<wqb@+o}BzkM8c<`ZO6Qt{2RSU
zg1pujLHRc2z&h|a00WOzL<v(?HL4y#qTSb^!U33DT3Q+iT<ZYz7RRGo>^k3l_q|j|
zd`LDB?M%)s=P_5|tsT(pCEPW^>I*8u{*>LGo8nU|oZD!>AxB!@sU3Tp7|+6fFf!{(
zp>wRnO;|&4*hqP6#0}{;0DEbv9}f?YK8V>6er(Q6!mZR!J(U2D>Z7~!ez4ZZAc!<D
z@bin)2a%sVc2hol=z~-Qv(vAEjAcmE(62YYHvdRAwXUuXviuRv1?L#y_8|Vz8KdbY
zf`O3pCj!nXw9zoBLQ_X)93mc6eh2~&8SFB#U`Dop_1ISs09_@}wDL*@k(L{LbO4Po
z7)(ORtP#Du0QK^?-9e&N0=T&I^YVs^E5sNggWNRKvF!ZiIaZ*afH#Bt@@3{hcx@z9
z9P-HNKd@t(a&f?V+)5N~7i@<UaKRIXE+=qr%|VN&5u&HZjX@0r%jLrm-F)J*PwaM9
z_hd#5t5T`o>{+VwngjtASOeizyBsTzCyn%4OX(qcrxX(j#Fq0hHLeCMAlfN4qjzbX
zxmDp0m>A*1<mSTlGr+v|zN|~I9YoS4<X{#lsGKBj;Kxqq<`vv4HVbY2#gK+LKI-~5
z;m8@5jy+st@Mfnt6?nb6fZJS9#fmIg%b;H(DhyUH_)hfl2=<2b$-mfJA0G7DQ0fi1
z-l+U!Yw0GwSW;2~=FQ0=78n9vLw-H&S5R!YF{o^5+FKLC8Rk6rAl?A>hxV2qFn;6U
zc+gz^$O=afKz9W4vO2v&R}UftP)!CJMO<gQCGJUl-W{v%15!r>oS(_P-QA$EB%1Wd
z3-liD_V&ozP)5D&Nb2P^&~`_EGCB-0GFZ&?uxK0bN{#8cLa<m&5T90(1FysbdHV9(
z8M#EDc0vVf)&FJYw|JvXl=-e?kbuWx9TI0y<6c%;diNIGIIzpr12^Sg*yB2aRlQwW
zs04=k`e;^<FcqEsKGSs;k`w<n$Edy*?ee;<u6{+|1mB7iTIQiWR1l}7-CM&}O|I<>
z7@tCu>Z_v!My)=lN;A>h+byZ#Js%sJoceQ1!AquLAsB1i@N7FDa_A5lbCi3!;V$$9
zY(X6H)v;yEyF)0425a}4Gxu9p_TB6Ydo)!wma^LOC5lz$DP!KwXbb7U4FUJ<RqI}3
zfK|V6iDKDLFp&-e9j#IIRp`vzIZgS6@avbwEpv181mVIJuCU5**HyZP`HEbR@EkFD
zb}C{dR0#xB-Iz`;rW=Ao4~V_x8}mvns;Jb3>hw{#qwom-9U&hE3`Txn35}0@Up9_z
z9p)4_ki$tuFSAC<XQ*qi=Za(JC%#p2Eo?8$Oq$AJfro^KR5_cDZi068FW*PB&uOI(
zTIXG?rV!$IKE1ntkfzuRZ{C9S&vNpZtAUPI@3Q;s%nXc^biV~1`tE(><9}h<^fiw`
z55s2V=+b>V8@$oGr@wHik1kow)mSe8t@HlNH286$wNiS}a5+pcxGnW^LT-pksF|4R
zmx!ldJHbi|)lZPgLui4qGp=910)QIoT#)WS1hZDi2<t{fbBciYwt>cl+;4Z$qTaai
z%(~GAp2Ab`G;7Y~y(42tC|Q&i$eptbn_S!R=|h2+y86VH7s!C{%lC%Fu~@3FTU9{A
z9vlwV^vo&cU3L1|S&JLBF4WYzqb!~zH7d+c!a7>aNl5rq^ex-f_P3E?t@KU!^x2BH
z@0>W-{N|eeQy*E<r?V%;#Vu0RspJ(JuaTc!Q|kGv>!mX1`b;giSo2M}M@{RYT-W)`
zp0u2Iqn>^#&%9@ishS~FA9)8>_r^GSmEELPM@1{@$MHGvE7pJFcQBKjRFVMN_@BR1
z@$nG<Dt_4kLHRl4O8har5C!)0Pq@V=j}_a0)QAX}QOWYJd{*^%;pPc?hg8ahL%18<
zz_)@0$G<kqwVfN%`yaLkHr5}SKa=&toRODR-U)hq?6{UHgJzEP$>(+4Y1)sep2+gv
z;Y$0feuJBsBJkqz9L=+Vch2SyaayO5`3|!jn`5UR-YECAGh!d_ufl!U9$VaNP7-~(
z{HpDt;a4-?1BR3m-;TO|51zsj+`YUCEhYjt0uuA85@@yg_ZGgf5D4N|5T7S#V<s{G
zv;xHEzhCsppkL5jBjBP&k`2h}Ry#X7E-H7g;y5@W`@~5WIr{G`#@#T^8F%lB`g$v0
z^X09FYlrt&JF2I}pW0q?5OBe{s71VL!J4wl-e51x)XK9zJe29$zoV7s@IpyRJ{pfA
zl+jc&pyt(<ob2-(cSiHHtx`1)r10tKIW8LA9hg`d7STAl)Rga>$b{VVn;^3)*Gv~$
zz4+j%)#ypihjYa8@A1V8wDUB!`XMSixwueHEf<Cje&+wPSksmGhAdD&iNK%KH?z3^
zcXWV+$1}E?vtg}r^L^cg*XvrBF%h3!C<n`o+9$OGPktX0JI?atTi54ct1MOzwxDZ2
z{?<$_l?)cd7UMc(1BwZeP_1xspZamiGhc-~I!nDjlshylw@a0{3Pv!u?E6_8lC>&*
zb0kuDWA`+6H$za`x+$k^<ZH>rpl71tc@&c86{(2mm_<7=*H6BG6`0y1Xva}apEx-d
z{fO!b{<7Vvy2YMO1T=z!M6I217aSb+F=(r1v07$lV@^g!R%ow)EGPSn?>OMaPw6-~
zJaU-b@H9|6Oo8ULuY#&%f9m~qR#JF5wl50O24bo=-poZMc%QH5TdwFo{A+g-tx2q<
zuE8dSkJ}wWpRM>Fc<Ji7{L!SHhP=f{m%9}Y0-gF<P6^+7qmvkFTgD`IwKVO+&kR`u
znm1Lh)la7yQV}Y-MRqg!r9V5d^8NXSbv~ZeqT~?0;PdOX3fK83C~|WU7CFzWy;H=}
zM03Bv^P1vA{GmoaX4311uW#usp0a!+I!&<uI=khem*+N|hXFE+#FpZFt~a((4X<%C
z12fZj<c!mf7%Gd4ODbWK?Ak)#+G5x0SiM<Uqur5DmJ2$+;!iF&_y?q{s#t%Qv5E<Q
z8o25*MSAwMjX&9?!JA4aRKks!;=5v#tlO0F$S+}8Z)cLQo@(HEQmTLXir>qu`Q^T=
zox1Fg@QL12N;D^%Io6Cbf#1ytddp?@^KaQDWPvMT=AmR=H8=<x6jiHasPuex^*FY5
zU!F%^6pq_5OH~7`xpkn=Ht)bl?h7Utcu}Fy#%M5^vNVsGwJuBGl>E{ylYL2&M2ZSA
zFjUEyddU4V?OPr>C;luHP65j1x-jEmzP;du>E|n85Lm1h(2`;#9k)L*8%30uUu|5>
z)6RDG*Y>ISgV;cxc$V2PjeGj~`iQ=v;lT>_LBy4&5F;i<miw=d8;R__6XrUD#~Qj>
zyd2(>m1&?H8+ta*grYlKkmm`TO>8&lyITt{a&N?JP1^E+q<A$9!^Ynb`I3>;<0Ss?
zPweMB^u@a}f_#-7g2jGz4$09*PK35=29TPypQnuOwCJ;VOBAr2&uc7l#uj<R^PZZG
zUqN1jr`Vk78Y#g~<75{rw(%FbAzf`@)XvVhse_5Oa&PWWf_KGi%oWK34uii{KdNpQ
zgg0HyzP`0O5Sm*DhXWzCbpfSss-CcW;I8`A)OJ0V_bS>ZK3ub_5G8w1GrWB8yy4es
zmshPcBkA^bO0vh^27k+HTX7-MP+EI1+wkkbncx3RXs_~_-@Qge<OYU@$tfvtQZL7?
z6CP1lARN$5nV0Oq$#E4AIxe2VW4C%qFET#fC0fwmirTAkzqQrViyjKF#Jk+uqu;KX
z9PS>wbtU>!t;z8Z)a@4oE(9gqk7e`E8i;Ulm_MLnnzj#BHHhCtf`(eV1wGj@1VnEY
zwI6d6kW0{u;qgnpzq(`j*IoZu-|TY11A**}^=opi40q#{t!Q}KW(MpxUM3xzX6X@A
zrJ;y#Jnml=E8%^9*&<EA9B;ogk;BOG=`>OJ{#yd-ZY6WixuD_vZzh}X((yD9=B%z@
zZ#^+O(&EsEn04^wA$*7Hd>cD|CnteV@A2H~5q#BF>bZI4EhVv#gi+{foUrns&EKfR
zQsuUs<V%OaoNw^PLJ#b{h|Ye+d%Lh&1>RKjv+HoQ43)8ci{mRY4se<f16lg=)VK?a
z&g1Oo*H51Rn@0FDq(j56-nWL&Inlz~?xXQHd+~%12or65j#0DZ%LoRl>5uzQHU?IO
zw&LvFboF2I?7GHXl!>rG`hR;lo-)g)+WIcbrt2QA`TAx{+*KaA<cKI5k2m;#W8GN>
z%P-hD-#6y44oC^kFuB*5k#+nc9_PjDaY_OM_%53a6fatueye@Eq!u}N&297J@9^h@
zn>-Q2-I7_zaAf1sqpuPjI`a>CCf=^yHe2UUDE-8u%i<{+zig))ddATsB|$-Ev%SI1
z;em_L;pI1iU_MD~uVJ!X3;o+9C_(<n(x&7Gi?$EHn%VK2YF%@ip`rqZPI8m=FM9AU
zAMB0i5#Y08kgi#1!b3m%{=Ilc`#($V&Ru7fibj5o51F3v-yr?SV%WaC0$x4OhYtrB
zIoz3qMsA&Q{1|YS@I=HnTvg}~5z~q)vHS{zDqI}Lu;RjSGu#_<#*{3B-F_sv#Fgn;
zrG(F{Fr~S_-e>x4rrE|f4<4*136pkqSU5%4?mZhL4R5?qgukR#^Nev?PB(CwtM$|%
z&vO>!t9k4>Ax1&Q8%tc`-}JMBgs%K#`0V(jGU0-(W|y7^jW>1FkF&-r0$dq^s#dGc
zryn+a`)xoPEQxe6nM-!~RB$hKEH)`dc^erMPss-7$T&Rxb)M*)$9=|D^Rj!s;|?Cg
zv)25Cw-PM}>yZkvdoL+JELI=xD*dT}Is84%g0M*cm9e2maDBmyYtt-?uYCTQrCyx1
zf1zJUK|#R{uEH_o`%3p*KYj9s;rdFeMILzlWPabl;cyid74?<$wN(+7?HR6je$cOE
zFaMgk`NS}QaLIm!#NrQTx@-Ep2r0H$>7rR|F@C@o`5%*69Rkb=eJ`yR^By~X#UZ)G
z18?s{ypp_QC13FjBjLX{($?^N;K_*W&Bmg-7RkroV$RPx-R0kAn5c_Zf2D0A+4RS6
z3G<>v^y-du>z>sK)=+Qdv{!m3r%WVrcppS89iz-TS>HL~wZv%FksZ%k@a31gHHImc
z%zRXr;mNyx{shv6FFkd~O6<~aHV(pjrWv#68%*ENRbPJ7*mnL{@u$(OcZs2jWd0)0
z*|sdKaDScMKnKWXq7a+i+uN&K)!Hf*H?B22%<tSt*^aQyuj1R0B&ql8F|evgP}{q4
zaPJnV?MFK@EeF4D_k1;Q*33~UQxm;g5^;T;XJ5Or^BGARppC~!OPvQEvf>BLB@13g
zLmWjhnQSrB$3*=#Y$Pe4+<wh?b{mh)nE>;OFu>XD*1Hut)f1<W$uMmna4NrlDd2qn
zKj2(xqUHIi3{sOJH#$=JUCeOzsaWx<`%E0^e?Leu3ehxpCeU1!@7CDUf5fQ5@Ax%v
za_$D1*wb%{kzWQGZz6Rho|kvB!_zpkQ?LKwciW?&)N^0L>5`r^XAZMD$*a1D>7QE2
zo$vp|azig7P`^bXR;~1r{L6qR?_OZ0V@73zDHMd<g1KWXW=r_bnh16%Jh*;XB-1MP
zr06aWmYvvG+;KPcbTr;TO@YrjTS-Pz<g>u^$Ubl-ySqc9^$y7A!@plAM{7KQW}hG5
zJSHSi5410>Sbg2WtZJx*39;Fioistc$jwcp&S$4M`8;?R(2s8+q+Ox~kPS)(d72W9
zdeg|icg$`;yHpaX_n{m~L$r&#y*@?NW2Gl&Tt5CJC5WGrysmiPf?$Mv0AI(#1^bwv
zipn_lD`FTc@uUr3L!iXnNqGBx3bT0s#%*SWl^3`n(KWUE!a>8+1h@yA8xJ*SU%fDt
zbGVjtoMy1ksqNy7cG!yZP~7JEis_Jdq3y4Q-*{5(1x`PjPCfNeINLBF<7AZ>p|LaG
z9>qE9wy)RlkIM>kzD&hmd3rylk)|b(C%XLtZH8PZl5sqsA+5=u(o%E#<at^;|E?#a
zt7Kv~t_a{AW4rjQWlHv=evsHL)pXepVmA-r{9so%w=K{Bd=ST<EX&}2=<n|@EQq3^
z?K2d+qPw%u@W{>R#tyiP53}MI`QlqqjcdHAvfa~rzmo;ooo2Zo0V;w%4-L|5fleg?
z|Lqt3fQTrYWW4~c&tQ|6S)n0A<@<yjWAz@yhb$u9!6(?<=sZgK`PDWO8nKs)0yl5E
zZZ?U14kN@;DG}~iE~yR5C!H+lAf@eorp4;yciGR!3q7y?Oet>(`PF-JPt=-%!o=-v
z2%KI}!#i=hqN;{T5AT@ko#fKyI7Eel?V(dOy~J5DpJG|g&~~Q85p21v^h?3ajCJGl
zMOQZ8#(ZTcZ_y_CoUCN@+mD{OA-Sx!dXt86+F#;K6NypKDOsnguctj+vM2RlUzDi5
zDfli{*`4RQ-^ixJ?x2~ef0fKqkZz00t7;_)m5m^p0ix+^o-zt@AuZlXhU31-9(1Ml
zT9@7Bfmc<+iDxWb&B9Noz=e{BYwnhEKM>7ZWfXEv_AsjVwj6c<I<>Wa-fH2O^G-?1
zzHP}MBOjlZ7ItQ1$GU7c(GT8*iGF%h<N(8v84Q;rn>;IA1W7mM8Q+<dCo_F>a<Skh
zY>+wlmSJvfMe+Fwdjt~X*3oe3<`*k^1@1F=E(Ee4b4F_^lYWrl;8@~vj5!>pxH(6R
zxy^AOd;X8v>&TL|YYmsa3s*QazmjN|lYTDy<kM%5hRG89n#oYvfMx=#99PM;=2^8b
zR+~z55?@2Ll9D}w6T3J#i0JvPPCh@k9`3$S$tW11kdP?*?KkZ*av+_ZXtl!XLh+Ka
z{lUE^=kJ^mb^L@2g7+MQ1KP-yiO!s}OU|4Uzd2%}^V#fCi_X={*F(*4ay8u5Ckfdd
zZd51FeBmPI$o@pG-eh&xw%~<GiedTccs<Z|ork}BDLEiZ6c*qT`o^<yt5$a%#kPHA
zNE*gB*(LEX;t~>jNGvVUzlj;KfRuBPoD|kGc+rgmqhevZV=DaRpa7?k)Y$xhpSwp~
zEg&%4sg*ydimm8G@F_9NBGx5a<^l89g$agm28sQq51qTJ$jw-XC`$cf*0PSr`NePy
z7h`*HL<@g!Po|!Ke_}l-vW4wcbROG#g6ECNLVH!yh{jb5)*^gI#fECWuZ(!dyPMlT
zB{8ozoBy%>@XX|Vk9N;q+VIRkNX0X~z6ULfFH6WgG;I6>3O_s1pT?W5oHp4k7gcRK
z=5gEU-m#?M^i(pr#JjXt$%}|%*#vx;nj5|1Yl6A(EOSUMjYq0v<E`sE8?#)j!I_h+
z(0OGX_$nin^g(b0_ymhHkg6E#1as+>!`0bWQO#_4@#C?bp)Hw&rK@}OTX;tQtSv1h
zgyCmiy#?2sL0g47+GXB0S^aA6SHj%l@7_g|E<Tkz=^=5|aQc0loXK6`>XZZ{X4=qw
zPmkBix=MyEg7T-#Vj}&?G;p`8g>TS0Yo7~39(_3bhpJ!T<=5~Hv+IroLZ+lLaVJwn
ziMk)WB%x~2F<D~2buo175+jS`nTxn8uFKc`XqsP5zj|(<T+_XDRp5LPubfqtqz&2r
zwJ^o=dd<#1{uHDz2~vC-p{L^^iIuc^$~R<SOvFDm5_Y*k(98K*<J5y5gl;&4=%Q#*
z^t>+O5@FUqW$P^V{H*f$c8T_8uGrO`v}0suY75;(6ob+ty4N&MGPf|kjNr)dwxPW$
z_P71LLHNPn_N>*z)h)06eIly+KA^ea1Ugsj&FibW4@$?!*7k;HlID814(5B-XU|>#
zcjmSl)S*Q7SOHnhcO2PYA=T!&EQ`FGZ_A8bdwRB`vmZ6+08ynQ@+MY!{h%Oz(J48J
zEib^nsbIqARg-+nmz@40zO_2n+6(9Jf4&;gdeKjG`q*pj<dmx)#A)vn;oS?4F<H=m
zO>&F_bK$zmFUhB0cHTM}B|M<(-MRf)&Wa<}@YnMv{nvQZZb~zpB4j06bv~(#bjlsf
zPns05nhnbSZZ)rjR7D6y?@QT$AT0qYhwX*ejX$jPC<M4RFwdz4pXIv|kT<-Pj9wP9
zSGfvwPTSotIijm7BWi29{ik`}=Mp}hTyhkB!V^O-StDxce3A8zQ>(;j0ftqPy~Hb?
zcL_R#V^&-`rbH>a8X6k-N${|U+55Zt1_o{h9>g2d3!?jJ(bOJ9inAZ>Q)G1ivLur4
z){QT_XImW>ENbWVvb;Z6{|~y!Jy<|DYX>h)cs$?#!`fR%RkghVy9fxVG=iIu*h+_#
zln4k&NeD=TbV+x!L6MN|29c5jBBgYRbW3+hNsEF=_`Tb6eq-GGjdB0G>yI;#qp;Up
zYtH$;@0{~_3^Cs~`&Y*{xQW<tP7G#qq*<H;Z9-cb7S|>TsVMY=uY4k<(sHiZf}KQy
zbOlp?^cO5vb30~c$&-UoZsdnLJ?oifeX=uGV~J_ojo(`rZmtaY4Dm)pr<<BlE9#b)
zw=C@vf2`!DSWhp%$vGhTG^nV0-(C0i7YT~gS0k*Cu>7++H2Y@P)q*0HaHyVOVm&Js
zN*j@~#-hY{$y}k4A|U+Mh56a*s7LOU8ds$eoJu$zxUqxg&cyM>E2!6-rPywSW&zTg
zm?B)Uu3F30ZN8K}Oohx!DB8|pY>d`h!tso1OmAJ>DG+2S8Qs)9g)YCC*i&!_`IIbi
z$|4OLp`>$RCzg$Jxfk&K#p27d6W>a&i?b7x@?Q|y6xZjrdioj-HeXl?OEMdsGz-gf
zt)Kn=xdpjj`uZRb>afyskc*4!BBBk>tN*<&@X<|s0SkYiE<HRvZWbn}fBGJ#W)<qP
z_obyzevZ|L?1YBhpwO$SBzPjjWTQQ1p4=w+9r-mlF=dfUaZAV4Sj<>#O02^6gI<s0
zKpSsFeAshJS{=#@<Lz;4-Iq>UZ(^|Kox2xjiW*V9b4bO^>n_vDMp51QiC^TqI|4b<
zxB2_sM6UT6;rFaPX;DNdA=igT3XB+DVjw+a>A5Lq-={su#JSekaS6wW)|tnpMx>~=
zPVw_M#r-X(q{wKh6kGDE0hc!w6`ZVV5F74kA8hfnBlestW2`BvR-7pcyPsplDrUOp
z8#`N|{N}fl8KOH}QV|<@DW++*Bpw6ZpZbJWB^`Eu?{a&I2-@EV=&$*oZ{Ao9wKX-|
ze3Sx#n>okNxxFx0)a08C3o$wVRPwF63;=p`tl8g(NI7XB6Km0Mj!@s-LQ?@<Ni%e&
z(foG|7(=PT%#6Cmnt$WY(=*HJr%zE&l}B7fX+1ixh{OrEE{%U+{VIB0OOR=o)820W
z)iq}Y(zMi%Hpx$-I_0f95{epG4<6PzNL(|+s3(P;28`zM^eG`{4Ra2UOqByK8KsXX
z^0tMmS`07|iYN^;3sBtnuE^5yPP_N_<1`}m>VEl53I9ZITuw=fl$gtEE^0_j)TNY{
zw#tp|>DFt?j<8cXW#qxb%zpXFD?*85)WaiHTbww-B1p=%RGNJvukxg)nMmr^OWZk#
z=Ke#u-??7)+BX=)ze*cnQ4%lSnf7a|V?SW1?)((!L>nT*|CsU=*~Z`#nu7G?XN#wI
zxM98Cc1p5iH9CEfyfEA7f1Vcl8MSTyj8@^EH+Fb@%p)n{4*zBp98X1W!f;_YUvh+n
zCs-{y{XM5#d$@)SGCbE~&TK!KnAi)Of3I0Q?f+jieog?%&OZ{;umLtKwaEW)>^>4Z
zAe3L}7V`9bzAvvv_*Lul33kv_#LPI#?WJ-AhFqW3u>g0~1UG7hHNAmO5BJ)Mk`B{U
zMyD}}v%qE^K2s*krS{qhZlcs~6^(ryOns%$OP*$S+C)_I_~EV3Gik?o-p;NbIf;~-
zbaN^CkCu&CJV||7G7$S=r6R$1$T6v4-fZZHdkQ(xCtB$whI>Z@Hjm7iUh)=Ik`>3}
zX&OIS@BZz@f*To#;-{8%cgtwHRWrErkdo_*72)$pTI`Q_<~MPe#FISv?!M?)<}jQ3
z#SvM|{Xwjil>yfoi_zr!8#xbLlZr~mYew;8#CobOR2*}Wn^sr2nbO<w1BB+4OZJE?
z{`jL%C^+@AJ;kSS{(I{^M8pf?G&$;A&i6l5Rw%J%Qtip(qQ+z8p86d#<o|#jjb|b=
z|260sk=}W>jfUS3*trhAW)0N#^xcE^j|K(?2RofMe)p&JnoDh1K*iDU_>Ev-!mAka
zt4RJKXQldO0qqgFlVMxIS~K%lu^jFbogsq<X1z>nS?8{!G?zAR?<stb?yQw}$azTe
zJ)EByRmSPW%Y=MRCK}81QPnG1y|-?JpB48b1pJ}#J&gyviUu?j#`>K(`Mlnf+PcB|
zvrNx!2ZeNdr!`u+^Gy5Mf6N!Y&Qm5VGAu7#!S$RC&k^f#g@jnzj}E@ntPdkPeJ_GF
z70gs-v6S~EvJ40r*{~&ywrZru?UXUodq-_1Q3?E%vPV&m%)*}#=F2O3jGL{z2o47{
zXO+n=m!c&vRTuul%ljo?U-Py07c|c&InlrpE1b<dt)H_X4G2I?-5GI29EO-)>$hZ$
zkDO_0$()^UMrFJB0|^kqd27CQ;L7bC3tN&{&m3)UmyFN-7Y&Hh+-=bslSQ%S!<y`!
z+2#w!;{KN-@8i;E@No&hPl@<$G&%~{qx=Ljb>}!JemTD8v!yE&(<WmaT;@*1{H5p`
z#>!9cNwyd@Q(oJ<qk|aD;mW;osWI4=m&_o@Iz4?v;ir1~IWnS{`-rKL33rqxszr<_
zUx<8N$y#?f<ct3C9LLwf{sWXMjYHwlYp2Ioz6Mq?V5#z?J#q>p#@wl_6vVKiJv4ix
zoSBexXk{Ef()9W1s<jKTrnBqw!p)iyY<ef1;Ec(8-GznT(+^Q~;V&?Yh^fX0>*h|&
zHIgNsz20uPQxwl@<$15~CVz6n1G7a{DhoBl2B)uJpLqHXm8KA*W?(T2<@*}ZCxNT9
zYtALC#xQ1k)IYNXS>;Sz6r+8Kdahji+>M;R=a;|TyKn39l-Ng?f^2xDd2hpgHoZ}G
z4B{`C$(r_1mAktju>G+6-xT(H=`9Qg{yT73zm411DNJj^!GMZ6ka`BMI=iW%rmoH#
zcG*qr(bjAmpmd32&A%)iGG9CHWSCtKG5z|*=brBMFXlox2{N|h1yi;ieRebRb8|N{
zsO<^kIotMYD4!Bt6T)bq1N8Vzu|-N)6kEHnlkl|@QG#CXxpe_w+tJg>W99v2UR`=s
z@ysKcs)--|pP1*2X}|Z6@;ta1Zgd)_up||`9j8Pq*oo4qB9F##mkszy(Z4yGvEZ!Z
zdg5-IYD=p?Y$+7m&uF-0rHp~cJygU%w8l^-vF8Hqc_m9b{E$u2(#dz4W&xiM*WA=Y
zi`h+c$XdM-EB@v3HksItd;1B4AVK0G_YbO<wtCBNzZ-8~P3gYJ)hl%WYGdFLBkf&c
ziG595!#tF6BW<!QIfKgQ-0q#xri~*@Cj_&9SHGP-2BS9nZQ+8G?_;NWmDPXK{9`Vq
zBsYPUoj-npj1jQ@3oN7j>lh3{Bl>>-z18QdP~6mLW<mmrr@g;FvI|$^{&|F#6V$MP
zo=5!2S1fyQVf(mHUKdvq&k{U;D8S#r%&8Hv=TP0KJ{9F?G>$jQHK+yO&h|Uf0Ucly
z9B}L}-YQ;Q{yi{PnEF*^X2;Lkhum%6>QLzBjs8(RZe|a>(}y(IFMWRZR)q2`f{Z&=
zkqHBNU4jR*W&c52xg0x{&KP4E*~!N|(^wgf7*4faAvy(w&Z2UVdLZgdb>(MOz^P8!
zfaISyGnXqG3k<CB#>?)Sd`<gI#CY^li$~CeAe%Om@9RH16HZhKM2x!-`-(mqk?a_>
z$cpq%95$<33=kF$U0UPUHJVgyEAn;V^&P(%MHPN%6qo7HX|ILEz$Co>Vv<eqG^6Pz
zMHoj}?XA=g`U$-&u4l(6|I|d2fEWVC2D-GQikP{m{!OXK5_@-{qZOf2J^Y2)53vQF
zM?>L0Q?z^m57`61{P^u(J<|w$l2eij-FI1{Uf=zG`VE}GvG}U}3)hxb*l-FG1mXYU
z<lphd&=W4OEYK&$VP{LQahEXPp{>BFSi}drQ^1X&)-ytkxhoUYW<D0`p&3A>TNZ+X
z!j`jimwtbBhW#jGV`D3w(ap`D;J@PHG*25*+5;AJv~`C<rHq5mF^v%ML{u*u5tu%=
zl!IDV>~=MIAF3VZNnC0(4iF|WzS$|^K4c|9kAdK*dK0VIb?e@&7H<hA--)6E{anJD
z_cn@&h>vwDb&f9InEcV=xs-iH`MqnWQuezp^)amF*%hwL*drPl6qk-`r`XMJ)W`}j
zI6Ryq>B{~ni=pVxa$q%_(Z^ao*oODDn>)2nXz(_*XQ5HcgTgyxBIT(Grx`)7l_%P^
zU00tzd_Zub-}8~5uAtQ1+!;fXuybzo84X=K>Hv8p8yP!yla=5bz7PghrU)jMB3}G~
zS%8g#`4hj&t#G~!eD3{o)%LsL(WcGQ<SN&Mx}rQQPn;`HVCx|iZ7eFi&VPSM^=saz
zZCO_lC>}!>1>OGqSI7QYsDb6HaqbTcc)L>{hgUooYdPl3eP^&a4vuV{`=kDtAVS~T
z&5S+!smE&nLDxWEAER0vRT(R6*O`!KU8KT)*S3B0v2O*vndC+t#gOr6@T-`t!Y^U|
zT|4EE>DiS7cbvYF&3rX}a`CQEy5%8_2-hiTWp55PM)`1SI+3ZCe&14*ych2#XTyd&
zA8QC{e-X+3XFVM%X}1ENnipH6SiQ8~nqz+t$=EG8Vi3gPeT;0BTcL~$yH?Nt274jN
zqO5G>Z3lL=Z87)Vl4RC9=EyhdXBVH3s@0GExA8HoZWiVS51Vo2Pq+@%;H%%h)jFKF
zirL8|ixK9=%Y#dHY3;Rv{I%}hnDAaR{FVpUf<tQG+18#i#$3~J_)<~&X%zM9<D0KZ
zEX9}a;^@E4XmXlLoV+|o^fHW*`}XCH!3Eo+Q&cK!?&x3J8Ry{2^Klok%<A3$*}rzp
zwi%ALp{t93R*kj)8-1EJ(QVC|pMbVKHUG&3nrk&Iv!J!!euB#F$p$Q0v@%*FUR^GV
zs&XT#olzk(sPY<NI~RO2Y~L?51wVKquN7es&PMffB;*E<JpGk)Eg<zP^UhGQt+Vev
zuGviv<=j;}d7sGG5@YrO9OU<HUqQFzB8U99F1Nl#DW^!RaRuGz_viK>x$|`3C_Q7I
zu<~@4SC|Y>OxyDwx6%6Wtzr>6g~>I~Di&-c)=5#Z139YTMX)Wu*XW2O*0@T2Kl9G~
zELQGaHd@_rIdi77P1~7rCf>^gRDCKx{qbvr3E0|GyYI2Cbx~m8-MUA27m>1rc}pS_
z#`{xJ8KU^_D;7rD?wW;CVc6Ndqj5(RmBZG>k^--6`34l5W)?1uhMIdIf1h0H^=xLh
zF0M5C<kgJQ=X&^A((+3~UF``CP;}~b-(75*{%;<2$i?~f&+kXK-T)K_&h5hMdNJoQ
z1FoJnJWqCW=Vx`b@rwN~v7BnAq9zkv`P`?3V?5&M^2?W;W4&?7bM2yz^Z6vY*41b>
z@;D^zb*Mi|i0C$Cint)@E2tcY97oGyP&8A@k*;e`GL9c|k&#;8=ulS_b6X@|x&4iv
zNw<?nBAQ~?1-IoU&J85PEhD|@N}&PieiAucJK2>k?UzmzSKCBbWg|ODqo{Dn7?>sG
z#vG^c+oxLjSfjp#ac^gQFRE`!5fY7);We>U=)s#R61u@Gl$|tU$&8!%>h~oieGH28
z6ZY$BqhRF<YJ<;B6J--{7vK1=<>y<If9G8zk9^T%#Sn8t*60TnPP~Eq+V!cmxR<t+
z&OCc}?d`Z4<19T4-%s@6FOzD$FBLDDIEI++-**uui4N}!arq!k8GGg?N^1z~)pK(|
z7J`$BBGufus)%`q(}qLTYHMcK689Se`I#?b4jziwEpx4;Q;IJa1O1prbTY<y=&oY9
zi{Hgn3e3b;94Kt^Ar9!yce|W{;dW$rzg%ZX&V7`dl8&F;6l<JEmhJHIz{uy<t!<t2
zJ}sI1#q5^3-O~5>9zE{zO4A$)Fj=(4FZ?`i(~y~_$sbFF_j>ueKPru6iG%Rc?-)I#
zN}jBZ(?9htc$6fZQUX$DKEu27k%u9yB%)=thhJ&r4P8T0%`gUM8UwwR8iNmo1{ja2
z(lFdegvh)JJWSb?3D{dL-$?pD8%U3+7*?zz*{RWwuAC|293bRA>wriJ@2e&6&8sRF
zNCr%z5T1?|lX8s3FDMK|=fNG(xBt~1njQW&8yaNZj}9;X{C@w(n=gvu21Zw+9oxXY
zbdsO3SIa4+Ewm2Pi)?f(TZ5_y<emt%&SD8)+7b$Q>lwfo&@I<h|G2`*$%H-*GoUT-
zv*s*5#!%TME8)FI(>8Uq>)#w@-RBjpGnqQ~SqM-TbbF^fEie2vNIKVcp}@NrY|dVX
zKT`X{Cz7t?$p0CwU?W*0wPk=xaF<MrnPOoth9snFO?fZBX7);1(-mBw(&dttGikS?
zuuW%_$iCYd&VTgsO~4XP)b<tA2al!b12~3$HOyHS8iZj+=iR)q8qGW}Zhab(Q6b+e
za%~!A^XsGGZ8awGXL4rIU#u><bno%F#K1nVA&)j&a@ptcBTx8Ks9cax1#5nG-wat1
zy=U{kSj!rgO*F*ult%j2UFzl^%|FwRCHEMVlg5@GX5ziday7unBKBRPbJ=*`U>d6g
zfi$UTA5O-)|H3};+wHrTYbwiq0?bi2m`d8Jx|Qf%VuXVl%x@+RE{`e*+tD}E>b@Xz
z)D0zkGxFfax|5Mi+f^Y6e-VFL``0Gd+p+Wn#1e#3`xxo?#lBkTrC}1<VvKgRe7?Pl
zlc8CA&5IeL&xtl$3I+H1uRn~Rg}v^;Al)hty5t;2+hVXeuv`{ZONR6yzS4IIb@`{x
zZ1;n(u|R_`&SZ_Q`0lxc>zV1)EETvFg?6a>1DeJ?9eW*I)R!O7N1KJYX_+{cNM=2n
zPsDC{ph&p>0BiA(+x{*li^6CARcBFJ4Yv;)v*#Y^gg}u&U*DSFphvKrU$DLAchjG5
zJ2)bNw`P}=le(SLKXH>IT~MSoap^I98B3N*V(HZj3llZ5RUF12#JAO^xK<p8-e!G%
z6>q*WEL3sd;rLh`i=G<yNco4gPe$)`qh0?|4DPm@U$Nai0v6Nbju<oBc`C9xt>dXN
zuyGfauX@w^U<wFl4w!~-=XP^-N(ekx8FNwWl95duiMtq{45iIyC|^J+9auR9%HNz&
zUmqyEsI^tx|Gb8=xXyab*wBp9nSSosEwf0^_itp{&EAvjd%czui8ooqFm-<Ei%?@9
z*W1<*%eJHbGH9WPBNp+F>RN5ft<+Gy6EolJnRW*pPh32g?r#CP@uc!&wX68Z^)k8y
z;q`MKZsp$1|FsWFCI4>&S<M`wN%38R!s}X)82xA^Eh@1nw@wpS4>`xfh{M4B$x#t;
z@niTmaD#k*Yz%Ybv-<Jj!!9o(K6<C&MUtin5nT?-cK))xN21YfB2nQnvhm%FpLA83
z410ux=@j@aTgdyk17A>LoUNF7LYC<@zWs7Ph8p#|<~{A;3@j2OXJ*bnNyLuMog$@$
zR`=sSpS;aHXTy(X!`fK2t!6K(7AnG)41CLn;X%R6bbEY6?Q|Lc7hBYgNV@`lDmqSs
z0#hDdW?Vrvk?zJ|C3}$pNhnR<;ZN1?Fzxjg&reM#UhDe$LOw{q_S@(y3T9+Vt`P3q
zm}1nWsL#P8aafWj1Yac)9K^#S5!EA#OJNBacl&zFNP7OP$VT6R^5`e2|AwgFr+<Tt
zfWGxZv^)fM(OFua0ujx=VUYD>ksfblY8Z|40EX{uzJ%5~Oq+1d^J$+2ABNq`1yCVj
zbBB=lg3`#>-G972JgR9rQ8f#@LiV_W9araV>f%<|BHFtpVoPdloxSze2B(`=HpQwj
zfGQHGZ-j%CY`YvZ{6ZwDoO_3^P|AtnyIhY%@9Ngd$ydb|>py}dDJ^BGW-stMWSvB;
zdYCY1xE<-E^Kh87PK5d|VzI((naCu*N!w!-RmNE6&VRMY5VtuFMERzthtPySGRi)<
zK1G**;GJ@rQkRpEP5D?|!9>fBsMD%~bLsK2=w$AwN;4ZC@%QdFRjJO=GWR!yS`$vH
z^l_Ky1G+pIvyKME?T8w$F23{p%JaB3?Qm>N1Fv;%Z+G|O%nqC}8|Ci@FZlZj=^yv#
z{Qoz8(ZTqI(h%p+3DJD;zs&@FXB)%0veC3qdOk@Pd_PZjO+?mYZPmHxAB5n8Guh~5
zG-wr~Zik1hP&a{V@6R&}014h%^YHj{VVp9;U&J>nv0Fn)Errcd@u4KJ4^Nh$`1RrA
zv=WPq$O^L9Y|ZWWE1$U;#1p!@in*_#auJwbPOy&daQgFO-iQ<t8{sqUV@HN;Cwngi
zlSA%|`~z*Xsxnrk+o!f44Y2Rt8U3x+tJt%Nab%k@X~D}lUds|sU6v4Lgd_5-F1t>H
zhHPeT^uniE)Q=T|Ud<;7=E?gC=k5w&S7)(Km1l}3b!c>lF?T;Bl?a{bD|X=d<Lel`
z=r*(U7oicm_TYRa%A4WN00!oi>WX07Hz!dsg%vjCF#d9ZKnaEprl6tYb2JV(YNdGV
z{5ZP{@{P(VNJGSm?|uERNB?Pt>is`-Z()zj%E2#TTK|KKMpb8dY$9{|JBAHHXu#P;
z3|~j;2_VHifz-4)QeO{8W#Fhfk-BP|YA$yXCCQ>p(4ml!BMXenJxB{S1jAKKxy5%0
zl|rSa^Q&D!t;-uZ#<#vV{n|K4?#vHVe(8?=cEqeu-nMt(hBbyGORGE{t^9h9enIP;
zPjosB3<TPlcun{xy;E&}rnB!z3P%gavAwN+t-O};7R8;r`pGOj1~)#vytkt;8GtZE
zwZeWYF`q}hhPb7kh78lZ+jxz6EKT(isrSYta9~+ToA?Hkcz=~;vbkth`+<N*?twmk
znH!7z^{Di6vPmiXkBppBo1S%6!5OL%@!N*Y{+viis1Am#Pbc#O?`{72*`H+VU;&4K
z82SF_ph6!1`#S#gC_oQ{OWr_f_Z5pi@Ef3{t4^y9Z(oM>x<d0q)aw&;@dBXPUP3hf
zaDs7RVPUX<b$$4fP)1D+Lb{8Br{46YEUtw<AyqURe&6l)CRy^V!MPoRE3-6&Y4Wv-
zjl@CQIzBa76jP20`C(5ola2B5TTrrzc4301$p#j2mT#_6*2~ByONHS^ws&WYZnk~S
zuBxvTI*&e)a<Z<a(XcP@;!!BUy_(yfEg*YCR2eJ4lmv^Xbxvhuv(V$2UYc751@9%t
zfbQf!hCUv&ma-aa(SL*=Y0SMl=A7GP%Djo+OiYaA#*}f?mg%6s%@vB-hHrr%Ds;!U
zAA|HE_5)Q!vdRlga#Rppwwb#>y!Uo|Z0@a}U9i+F*myACW@w!Kv3@?WqpmXH_pRu;
zR+gAXq1h1i<eWdpduioI?`k<+C9$uxvgHk$jP7(|wwWr%^Teqqu1@RA7uc0DGgb`e
zVrM8S_qvN0g<UDg6`cI}%iT&f@qnfjbJ?$S_@29&t3Fe4BFf<BytPqZmnVzqmmTn%
zL7H4zx@%;>hCXV*P5U|!7g3Ke1$-!6@JR45JG40{PPwa}GRJqr@dNA!Ln9;c-DYs!
zxoX_*KG!Xo3_;CK=h}>QFG{V%?f?=-Y2rqf0pjpO?$NJ!YoTSs-R`&t4RN)PgDJ=q
zg+;4SwI98h$hrb*`dt-p1highr|u`_xEh&D-Q#+aas8HBFmFy~Tu!l9$ol7(0>KH!
zag+l;?8S{;4D4znRGF%LUZfc5UL{pzZ(|&pYf?Aey4uV9M&jOc%5-*>MvrUvZ}EN>
z<-}KwU{~T;?@hqJE%@qll<%kIjxkAIyX%K{iSSX(ZxBSq99q2jVboI3sl%<qZS1sb
z_iv9x#J=~mBt{7)zd4@ImJKB7;cl%mN(&Y3AIVv@?&vyp+YoV|rS;U5s{fvOWKa%k
z6@TeXlXt8ZFDXdCF0jrOTpNcZ^D(I9O-!hy@-k*B(~U3CVFxDg#>&9~77sT!;KiWQ
zXS_dD)#M&#P}|8-B9|$0AFJ2?VCN(wQ=qm8y`tunvn;uqP*Tx&wb#_Fi`bN@&@A~z
zvCH?Yq^6`RBwu{0$6d6#sXBiWsD$vOlaa_5d|1k&pcsizZH~M9@sXJ?Cq9pzwvp#+
z&en*w#6_mUofJ(c61L?%&i2lEz0fEUB&Ad^KXcsdkC0De6sZ~SwW}>>Bzcf_(#p_W
z9K4$?tjWnt!I&IGYfSYoJZE{Gh7;A1T}OP$#=)4^Q5{$K_c2y(m~!Y|Z}co{YVwEk
zO`E<UYnt=n@;j>u{GWYqVcsGYjgd*#d7yxEcK-8FQc0SL0TW3<Omz3K$~7@&HsQ+P
z+CSn|qMSn3-Y7Tkfyn;rx2|4~*SA3qr1X<hss+CczC8Wy+IAlPNKPi<&QQa#K_G*<
zHsxU$z9}l0$AWLHI0K>OM1qrMV<MdwHYTUSYZuXt?VgyJJd0<~W+#3_VF3@>5$eks
z#4VuJM0#8Mwb!^@w>%|jUr-t;a`xtJ+k)O8XM}Y-b}CL`bHCr-&Ap6JvcxORiZ~Qn
zjX9>FT`5DM65$clx|;J&84r2~Tuc=a!4HVBAGDx^;VDao8s8g3_ZCMM2`nNEEFk|-
znSQJ)H0|a!jguEIOpH^IU(-`$wyUsXj+GON%Kcyw0fS&|X}$5GW<g?q1kV$u^OVJ4
zgdhWRTgp<NaIS>Q!w9|#c_#}5iRI^1o?vUK=ak_I^cJD=r3B?ej!Jn1rhDR3%F;Qg
zrJSW;{#$X1i8>FIPfC+`a%f5=+wgfT-i{A2OAoCv8Qj{Ee#)Cjc(c_ta_1<hT+ynF
z+kD=pB)9z#n=dP=lu4#QABTtXcbcVJgRU7TYs7fd8le`&1bGGf(5#?j?DgwR(kXFE
z<Gu>9x4-moBbOB^NmX+%s)@u9772T&C^$2X*H*@@3p}04$qk_axlBuROR(@jCop>b
z{rh)dl{pRw?(`6oAvIgwx?a!-RuoMGCd=N+3hy~Rz7&Hr2L+krucr42(^c$bS7n2}
zR*q*x_V4m32Fb)Tn0r2TNoTisV>v2M-H{R%_L!0h4jZn=Q4Vq=P0P7iQCNoILRxW~
zL)<dkjZ;3n)7-`h3~TI9nXuM2N}MYcNMqX*I9*fm-b|gg>{H!yaGG0X_QsUuog?nm
zQmCHrz~{?&c)0o%Pw8{rb8Uykpfq{=fAaLKPsx*JKGiV_29xSC^}M@~pzKy`oPO{;
z!Z=ft%#!JGN!z0z*kNqFkFKBwmqobFYF-Bke43oSc9}83F;q|bbDKV~XIA0I<6knL
z@yX2aC&WHjLf8NW;rQ;aELnc&20~O0wP3Xn1A`F`HjB<@^{&D>d~S;3w{O8D`P^<s
zn%{`?{>(?9R!jfb?f6*5P`cy1RQQ2c*sk5P3!$NFuSF~v{O~<0VLbx#7F)i`*S#at
z9=ulmTOFw+ecJl6TkDr)Zkr>>atiZ#hOd3Yw+!Y}(8*~V;}SG4FPlEXzqX9zmws;D
zt@v^kdTB(WUXxjYV407v9``pb_xJDFIGSg_-#bq+OY54{*HQfW@+iu;hnR;qus}cM
zOTud2irUW*P0HSDD2tR~at=;KE7gr4%HChBbID}pGbhGQr3K9OCi<(1x8F3xJ*TvP
z(m2oh-MBfGr6ylmvNvdVujElmlz(X)S<0~4b;{fb&L{RGQKj7Y;@@MVr5~cPZx}4W
zIJ6kSa3U10f`qHj144tnV|<Lxz%|3hHVs%FHMVTaQq<P&w;Q6uJhVR^3%vK5Tz@2G
z7RpobrhN^%J-2W54UZ2u=RQBR_DW3BGe6NWUzJR~?yp|b+#9_r$$py&?rluiE2LQB
zP(oc!v!0o=6hUH|NAO6ysZg4!s{YLLZ5Ur^<UwSF%j!NiwJv$mUK#!9LC`2qDVtq3
z-$+t)v!!_3pZT5NQ$wur46Ip%c1SX^9)frN|5SW<l<+K8CbsmuN5>PH8Kj*CpUm8Y
zSpvm*?KEk{_4wJX@{BNKW>2$uglgZnS09o(A7*z(#9yy<x8NTU8@UwgL{4;fZ)e93
z_y_O~R3#4q%Mb+z#z`JVy90c(kuB4|urWO4ZKz8UQBU3;yZx0oMZR3q=d7`Bm#3G7
z?NS6H`0RKL%uf{3^YAKi60hv=vX@jIPP<F>UlxpWtzC8EO?M#=BuUfmV-ZjAviliQ
zF@0pBuan_+T5d0%6eq?^Mpa61cwMFEF?EN0VO|z-FC)q`Cc#+ot%1Gh%?=jtdo-~O
zq<zGy%JLnb^7aoEjzTn*ub9473|TGks5f||ADl$5T*`7Bk$Gi%<KeM%f)STs;OcQ&
zfCy<KXT!T;RP~53$DK&x=ZF=5k@!QucFDFdj&#;mMg8D=zk}wo%S$q|)`9$Z<Jnf7
zJph-qw31O<b&`0!6}B^I;+d5dqNeAsd5h)^x+}FZ=ihz<7~p{c<=*L=*nw*9V%gEO
z=_*X|87_l|?nj;(dTHI)w=6}5bmi3qv;xa3UUkar&3ejI)mJD&-0^W#x?@R%ADPy*
z-Y3T!fluO5Q^BEOvzk9-rkD}3`o*$O8Wlb-U%*)!*0r3&$kN^zgwI(J%0fL|-ze>L
z@tjhI>9>JQhY8!el8?SfhBgF|w^A+lQ)Dtpxf#>bvB5ZDb23#2#1^4RL~PrWs3|e0
zN7&~7$ezx-*Ox!te)ePG%3-(t+$X8IRb63~%Q6UF>5_&0AalefZ!ZCBleugm47Q+-
z0w=ES7SN=ss;ezU=9NzBO=W~T?z$tt9*9|6@>YU=1*bs)-G49$<<Ubh0@#3XfjRNi
z|3?LXegaQN1&68P`O%J_pWj}U<xM@dcIG6W!9(xg8t>&#c*nQA#x%u@pQpg{_&yzH
zw!QJd<BPz=Skerc5Xvv7Ka^BdG4%E9)t;BhTC)@deOL846ODsiBWwmDZt;@{KY!Sd
zs$RE}BG)8FSh(DzvI|A{IFQbpbRarHg(%H`*-tPa-?9ES$X<3z+EEQ_s34Ox$7B`y
zi93tn4Hjj>G-1t=s_>-<x5<vZNkz-&CHwQVX<@zBKiaoKiWD_$A35AKm>Y7o^?5h1
zd-t1_vw;V2P2ubstUxY&Xk?qb+q$i|S@qtN*inij*|z&*V^bsxMY!<^TEZJ3MGFxc
z!o6I(#4+9DfZznwzs?3AP#8S+>quD<N;0>bt8-HiNzbV<*U73_=5<hIsUewOVZsk%
zza<H2IcmIu#<H$sz^3gsv#G0E(5o6IV@3K@<(?sphW*#@hY~Z%ABml29jiT|5Tvt?
zu#!BP^dCr!kc$!cEW{VbD%EFUtblXhn1la$C_WF8w*z6q_2{dPq}4mGw;J>{W@bXH
zQu@>#h->^RhY9WHLMPJF5m#=;e3!E_46ll!L@jqT9J`B#Tj#b#JSw`*_c`7;JAbaJ
zsX%akKT%C|;|`GsTN`1~so!#*Xn5Bx_8;GK20Zm9nrvnO48zx9R;e?17{L>@l8~6V
zH1{3-j)agx^v0d`%I8!LG)zz4DBYyY{O3zU2Evrd>?z&l&1qg}*qfc@cJ+02BH(fb
zp8#w2V2H6%gz;XEvsy=4!WFX?KZ@k;XT4#Tyr~zq0_{E=GSh626mI5Kl6i97=rQA9
zxnaMtZ%a=}+0ljQNRh`gzxEFQP!h>2{Zjlg0=e=k!6qZm=>wD0>>KX7huN`A%fVfY
zy-e@qcn89|1jII9XOl*-yw4l|`m7X%&%+x>d5a?*SH>p4$ndit?H%>|eTCc`3LCC6
z<CD`$zw7-h+Pjs~^h55JKjO!}?G;0oGvDOrV`xZ6GWD@v<RUus?ULMp7cdm0q_D>8
z(1*B%_#wjyC<ji=L!0}F8<|Ih4`#VLBA9s9so1GudZwbf8Vhi8fE2w%(M9qMr=1uh
zcsoP~;Yj|>WD?Vyl9&B81B&AnQF>$cB`XtFW<!d#)5M6UOoKY5ig;R&OcAlMijPXW
zV~X?I32q^IpHnJjq{bj#_Q98|$R1pz^(HUn(d8(C&vMj<^L@<>%U`lSRp&o%iqSiN
zGtH+)-D6YCeNIcI#&8Q|Jtb;nmSAzIk|Qx$RJC+uwY3yLti}$KKfOeAYJ4YBQ!TF)
z%}$rKF$lJ?WzIJ&7*5?`H~nH)aY~u1KVj%2RWJ1iRl0=+mK`0f9eTZUtNLMJXU94J
z1Q%N3u`_xco%|&1U}v|pwe={!&ZRbEe7d5<j8_NDE76^(<L}`SJgnwb{<I|dYDEy-
zrKJrhGLd0lTGv<DJoQHeN2Gd8^Tkv5dV5PU?-jb0$ab212`3ACd__(AcIrToa{UdP
zGMBjYp!^7?Zda?CuU{aD(b0cokI$p!B50O0N}ycY7S7%l%HsXbK<!zFm*R1!#@@_;
zYMRr#ZjxYBM3}|TTw4Ow*E+My8L_-2N)rMj-VYR9tf>cyNlZUF+3h$a@||j%=YO+x
zn{d8K#Z~i|_p#asw;4`_aS{E(AVbcgc?#+o!-XvS4|ey)t7GGrB7B!KJ6r_^ARsL*
zDWREn`Abg5B}b1GE(lY2@^np&RUF0TaG}b}J%`-pKu9?GR%jjG2!LelZEE@jZm&iu
z1-3uG+F9W?Kp@Yp!R05F5a&<E*O*0abxZEE_G@`=rhjak^*vK1ruFmhKkaXGrtApn
zVW&ipkg>7)hFD#l(JZPHY>)aD|C6EG)#&!fs{7>npMI=wGU?8n`9axNKAV;I7NBB6
zyI5vC6+^rf9C<%sQ|fS5O)NJuD!mS)G<g*?^pvr;lVB$8MkX?qRE$JNk;GJaeLARJ
zuUA7YNcy_fIC;lC_ok-)l#M&L=qmn#1h`EIU*h-!1WO!ryMR4P?6)8S4F^Cd_W*+d
zn0)G;1`Hz(s{PT%t-AVCRJC&1nZE)hX$CXq3`JZ<-$&=3vFQjB9$p^Ws|EKNYYw`s
zx~mcjWR84vnNswqP48#TW|FNEGMZWS4w3dPv9*3TXS(^!rZ{Dq-A0O51y>XCizi%b
zMlo*ehIY<UL~70Bu_Q~ET>KTYnk#q7BFclDQiq)qf2NL@-_;1pe1(!$IM$uMg_QbQ
zk;kwsBY)MDsXuaeVsDOm;igcIvD1in>yJ*I%OuRm@boM018d%=rGnGT2LLdS?9o9F
zcL7+BzZ0D8R4+7n9+;Ra0=WYm3}7C$Z#d|{rSo-M?Ma01<!0W*h;RciY}Wd_ndwBM
ztR#8TB%U;O71Wh`<SQLJkHQ=asn;X!PNfc&?b0ht-%aX8==5+}`rj*l8|T%!+_cuT
zR+@CBNVrIdD6TFWG5AWsFe%LQVPAzw<2{cPBz0L0Id?jn?E<l>S!h?m&@$7|>{1|o
zX5xq2ng6_23DZthuGS;-n0n`x#s8UOg-liM6FF;ir&Jco@ktU-N0;1HU#VfS(*&uL
zES!;67FExAF*U~T^*S8My(dl4AxoFwP8A+n3+{vTsTK~fMDjoh^APlv3_+8ChJq8@
zhCVwV(CU|Cpafbm<6)R)5}SaSF={1mWYc5%l!YFd_9e!oM8U>R@xwEejV_W?o-DU&
z5Jf6N9s1c=(;;%lp6H+7hXq;3+v8*8Nh;D2u}o{+`L!&3=Se%nrX|nR+<1k-$P9bL
z_BL#o+3i<<`#iZ!Cd$Om{Epy6mxamXOLfh&uLe0E4?mR-XR@vxanFzzFl}!n-kqx`
zR~hecMbW+2ROFS>7nw!0F<MR|)NWIzZlLa9W+j<L<j%#AVo|)Yj9`4YNK#uG4tW9w
z#_J~u?pP>@mf7<uz+ec{#JyoT8=Ea~Rd{|Tkrf609vY4Wq%XlbO3ao?=6qW_yZ-gV
z$Vi=qW8rm(2^tzQT;}0o%^w$`N4^mvSv@4*^uYJvA94FgohH3u@eK7ao5?<uUtU>(
zky^dziNRd#M?2ZU)Iv2@WSXd#vx*AQ&i2wl9@*Ol6KhTbJ4zXIq?|k>LL-dEy64_c
z_o4aM?&ekfaT-?`YPOg@dCYjJcV+miF7+ndCXWw}btV^#pyoQ{C{2-bCcl}?faJ|#
z0#B=Niz;jfJa5iS{p*qqC@%@3{skL~fDlAH{N`c!tIk4|Y=6Mip-DXeRl<OgYf|>W
z(|4ck7}z;hR#si>hr=RA2cENtN<SYzrg&=`!$;B?>W^K5G!^g|@}DR$l7?+m;~e)T
znS=RDHdGKMeZ3BCU7WNY7RQ>n*(Xy9c<CWYi>#;|SF1@Gfg%CgJen*;CYPsW_mu*}
zuC)dgM9d8--n-wPxWud3f#~)0tIxD}rKO>FK0F~`a43TlR>wO-<=aq7s;Yq7oPh3$
z+@cCKfrgb9ky~|YJ;1ATYAJ{ZH5VLo(+AYq+uJx0nsjI*V_9fZp=CjpD#-t<38f;<
zdEm*G$lGD{&a^y**o4RjiFBq}Pce-`OS;;3=M;)I#ym0(pRkQhPNod5*Voq{o;2JH
zp0a(>sXf%(Zt>aqI-=CHL*;|!q<iTIB6{7mftR-9<*Uy4`(ATJ&nh+5$!o9BdZw*^
zNYqGTN?J<%>2#l-K&!W;A}_%Qh2r~*@rht%oNaNKEDH<;-{;Lv$}(16E!dLuQ|e+F
zc1LQJXsiAzfA`LA(iuBIY9wal=V_?R{Fg7hAjP`4xS+=iA_i}XH}QSiXxNTN7OU2S
z7@3=!o6*~=<ANXsj=?|G)1$_IATl>QKE4)g>@hf#!FRO_uV+jJwJdG?r+({juhBnx
zf^K)sx%PrH)3{V~?V3vK`Ul?$&fF`qK&d726!?po?x-NOUxX$Ids|Rov0t!Z*mD2=
zefW@o3I<2>7vp{c45K}vbsw)8bN)!fzn8dCyxmN<Sw(p{Po{F=h*HxYUk6QRs;WkQ
z!nZ9O)KAet#EOtIi0pYRw#F+y8aTM(lqcW`QEK&Olq;T>fMOhoSWEZi(2rQ?Ej;2o
zeF_Bg*ZaFcgcO{Uz~~FS6(2RY#ivijjJS0<-%r9WMGvNUIQq7KL#emo+tyaDxGN_7
zYl$nYOKSoY;Uua*@V{YXt&_wiIHS6D&w(>~4qgnyUqEbM0YUxEkNlS~WYjq*(m}a^
z2tM(hN0`pI{}5L}e*_j`cv7%IWcXC@3lTAa%%vCof0?{fFX<-U>4m_+L1?Ge(>Pm>
zCPZN{8ZYWaDWGwpVOFqvY}nVQ9GFz3!%%UMVc>+nfaZ}07(f0*a0Xz}9U)~zFq%4n
zW9xl1Wf`^+M5c_0Y(W1YxCon|?bVA$DJ?S|NLMfT`yBj&(}az_C(cOSGNaZFv%fVC
zs2G+dI%26vFMuURcpa?<K}+}Yuah(a2oWqgPZZFoG;luL+`<0KqeuVfs4w=5Xb~)W
zGgd_TpI^~`pp&OSDZa{j1dZkc)7m@`z0uRy->c<;`ZR$kiQkTmp&p#61@o_Ygcook
zL9XCCrlIxjX=7bZj&YSbIvR#c$V%bYUFXZNV>eyUVcyCTJ)OYC9if2o|2x#eAB;qW
zu3IdM=fN(>jW#fupgE_*N;nuseIkc_d}zYj@BsQL8l6dEshppm4~Ia?DhlY&+;n`5
zmK5lnLes41pBiCP^YZV@3L`i+w`rf%I(LtA?JO*MD@q@DHUM+HYJ`#jt?&R?BZ>-H
z_xoG%o!YN)!^)QUC*##kZhy{?$%fC57ygt-``N<Zl@bF;3ff94{bSnZJw&PKznRKo
z8m#uuhYxPB)|8vsyZ_JIw_x|B-1!T9@3=E7sRD4p1a)Qjj*Kp3lRt8x$ABg&H@z<f
z-d0*aD_dJ>^H(V0C^A1Qh?k#SxysS|>GIzOYr9%K^k2&*U_dtY@5P8gfacV}C2^&N
zZ+~S}o;lMMOkbqKfFu;3u8rU{JX^kj)>I<Xfd6l`&ihdx9vuLgq_2m!%iK#YUj>#)
z5tOptm{gIWA3=Z=4N5Zy9jC*^a_RrkY>>bF@4Jxk|NEr^dK&n91&{{dG(EWwlLH_}
zv|&cfGSMv2c7j)SVr;B^<p8W8PhI-&rYc%|eIeTi_*@ax#TkhGI-LNo2P3kIKS(O+
zoKrgv)KRIfBIk3U$A$rym7TrPuD-n72~Iwt&Q|D-ucJaWEPxV+UK{4B->v|}o=8+1
z;`B4KSoyIb<t=iA%?(oYCyKa&qwrWDo%6>I<lj`h7Mox4BY2Piz|Io$t0R6MTA-2*
z_+g&7)?00d4FJ!TxojK(VfaHzQj{t&HrDe_74whwbD-V+`j!x)H8{HBLBss}063#G
zG^h=YH8^=ew~uN7>#F&k1JgWA(;Z3ls~Et8N#HC08&uZH(ueDV3+h<SfHB#iL$B|;
zAc8wm;B}{S8&#Ed9oMmp)ZPz0`I6iuEe&98px*adRCXX1P{$BQ_3PQ!K4jIP5iVsr
z1iE@sDA3TgO7$rt%_^rhmKomMc<PxW^ed*MPsRUxJeVf^fCmk*%&zA1ndY6wKssoM
z7ymT`iPhqx!GAQ0h1StK8_;9PZc(84dWK7=RqON1?JuCV9!m8B*tynb&t*YhjuKav
z2BG0SkKMDD#RGN9`~;{I|2WM4)8MIZa~>P*8x#t?ByIUXs)={l_UtLuFCMi(9yQT<
zPazBpihX(M2T!=rPXO^^AKy3Z%JapzM_gf@E02=7=F}Ah(*1y1777mahwUrSsNz3I
z)x$ObA&CfFBys8GtR@~t-JQ@MnVhUS?sC#d<;HL0j&Nq7wTyUp>jCj~oK6k%V1604
z$84*ATU#{{r|I)7P~mMRN*e*vNC<hw{q_=_$__UJ*3~fPEFq&2nC%s%0U}QoxELGT
zZ3bvlN~8!#v(Z*~G({F9p`SpA<PAu82hi$Dp!RG2iLjd)Ry+-O?{44$@K5O<(CtgO
zg-Y4@^59<8SZ|>3FXAfyem>f81xCGNs1K3d@2_Wu#-x7(7=ll)%r8SZ<kp*?TNBX|
z`(0>z@OWK8!CGnkZW;`D06_$F{y&AlCpcaBa{-D^F{3(XeU0EydlYC>89oDs5$){T
zo&La{J^21<<8L?_z6~-;Wl&sgXzp}*7WWy!YnQL~Z(EbYLk=GQ4NZNeZ6AKetE}L;
z_}yK5BwE_nP*hi!7V7QoEko~V1{`4$puR1D81opq-FNs!hoXD$s^>-El@J}QUqn5>
z27=$8lF$tJB$<9kQ|OL|o(bOj|11XCB@AM@An62}EFdAPMZwAZ^5t*qGYyNf|99Ik
zt{lxcpq5_VxcF)K=V#4I)QnHwR-N>9P9p&c{&!lQBHr3BWMu@>Bb%y=iZ;O-2A*ZO
zK|Yk_02;0e#@*G^i%7wFZ9H17#4y|Gs-nim%+PP&zJXiPvD3+YZ~i=e;cN{)KRY3H
zNFt?C#FN)gdj87Pa-kDiPXfvo@cVP4qdyw={PwV3n3f|*PMX9$<JY~UZ|5hd5qj)*
zg{mPTx}|^->XXpAsQ1ufGzxW=%Tplaneikzv=pf0Fz+Pr9HBk0uC73$Ed}-`NaqL8
z8>RrB+<eeM{j%#oGqtrt?y^F@KKjMrW*cfr4sH*>0n0I9(|*^`aEA2)_Hk^S`#9l-
z;^YP_5z<n=bPxpzIF7Bz*?wEtTOghQR22P7Emlw+k?2G@6x}OQ?s?er!+ICo<mt&E
zN-Vk8Z%c214LiEH2jBYty5G<wf@W}9GhNqd@Z=$Zo#~vv4{F!5!k>c&fHG26-Mt;$
zzH-uh7JV!c_=a%nb*@z3N>@IGs<Hj%hGFK@wL2{NFdC!KN&%x0n7|)OqwN~TX8IZy
za{t%6CV#r{iYe*C_;B<~)By;ahoe@4jDICJpP9GNX2A&$q{vbb+0|QZH$-_06jOPP
zKVf?}H?n@T9$`W%FvY)=?}fgt$Rs8GvJ>}}^}8^Z?7<r{9sl-i)c-p7u<>iN^Y6*c
zx8KOeGZD=HNFDSI4u!Pqv1koA>#a_HqcLviF$=J-%F>k<{b~y2(WqszZ2C8_cc$Lc
z@$AVObpD77YDfY41C+oZPLF1?QV`L8PppOWCt({f8&9dXAc|TL|MlqyR*R@dlQ5>C
z3A!0B$U4}L-p0+}0ibL1fec}3*A7a{2<`o@Nyr4)5|MA<DX%*Vn?~%N!aLy+8tT&I
zyxM~`(45D<;x(TqA0KK34lo#eUg5aZ&c-o5deh+#GZAhEidAzBi~8S@^S{v&UYfE-
z{{0SA3R=PLJ?sIR1PBV>Bo-GcXV$?07mH6z8GZjq`$yb6Gu{&zh;QqDi{^0$7a;*5
zt#~3Jrp-YPH(CnT07YP(R+MaXq9?ZgrAzCEq=`D!_6Gf@q+!@3@~qcxp~bYJH=oES
zTtmOH9YXy3jJA6O4LoZAkjWO?Dyal5<ju}huySZ<8Nk*8!SAiN(AeV!plZWA!qE%=
zAAIu{hlAqHg)mE`!u#g8LcJgaQjPfTyo8FTrVEg->3_7H%33BW@44R0=1}(MZ1B%n
zj8{~w5&D-Rm{Ta9MY5y6gbSfwcJ=Q%3&g(?SI`UGf3L@wP%ZrT%m0tK=l_Sl>KHTU
z*hUah4vWY%`?M%pudlJqe@>g<zk5e6$=w0z7m<lKF}hcoZUbJPW=Hz(2Qo6u3A`h(
zW#BgUVB3~xcU~;7ey_;~0u`0}KLKx>JnsFu$wQI+lEO8vzp*ER(rVGzwst9)I&=eE
zZD^zIb9(L$TcFlf#iM64Xaqm!Dl!ztFBETT9|Xo>8)$_eWD2tP{tdDNc(D2Qxr4tt
z*KSBXeAvEW@$Wz59)BHphX-v9M3|zPuc1~DA(eE2L-N(Fd-v`obLcpOR$c4Klg}pQ
za9jwr%5LZdtmI=4hmI6<AA;Bct=UsjiZs_jvs=)xT6kAMD@Hi(1Q0ZF_NTvhGh7B(
z&Ay|<MdE^ly7erd0g<hezY!crQr7#^Jz%!NdBANHa+-D2bbYC6MA<aL4>nZM@t%P8
zt3%uM5cS}I&B>wh=XiedQxT}!031ajpK#GJbR$vgX)TC`ASTO_yNxm_*M@=_ObDl7
z3-*Ix`c!k}zAkiOv`2Y%c3Vgp{x_U!Z2;NUa)2UJyh1+0^idMW)QGY&G=0b9Y^@6s
z2X6i-OtOLyX2Nu=&7rBMcMk?a=&$d!%S{~joAhU5iM*Bt?515e^OKd+_`97lf`fyh
zD2Z|aymWi(>92*A{mj2wAA})(LITj0-JyB~F{1SCpcLJ&u;Y#^=sx5js(l!$L>~=(
zd|=W#ay=LwAHP_=gQARC0=TdWI+8kd(??^dM~l?K1DJas6jM1d-H;yVrhwRn7J@-3
z3pBnNvYh3cyFSyXQ?($F2PTG!9oG&Lr1~l;5s(<bgxvlj*}$EW1U}prB!)`2Nnbjk
z_x?BvLE?AM)V6CeH%jDLv%-D)M)TgJsgL(z@2BS(gg`7&&Cs@?Z)<CHSnql|K)Mz6
zr5@PMg!HKpjP4a(hbj5x<Fe=p_pfakHHFzIf1peGwp0s69geE2kUu|OT^8P0Cq%!W
z9h@*uY(flt`wi#;32WV;9?@+U7YbXlAq>riK{6lmWvKW0<;cPo|KIQZ7G|JC_6K6F
zREYl!%1zoKKb@PJss&jMK(*PuWg0<ehMxK^TBv@>LHi^uq1uSVMUB)Q9QL5aa$o#j
zf@BqhEAAd1&7gcn$I-53kmjg4In*{=?=|A#&f-Ej0^aVbk00lu@`jes!^?vDbBx;C
zTe6+2yZfyiZN>nJv@f_gAWuveu=56+P!ot${;Y^!toSFL{K?l+SC3a@0;LP;Cq!gT
zFeAgQWclpEr(=F2jVy=yuH+f|sj2h5E|2y-omq&QzPO|@cLRtDkYc=|T7)<PZ5OZi
z*s}*w76^degYTz}@Lowx;KG8<DKsv$)2%3>Wv%AlW1!7i0PSV=*;nRaIujUU{1)z9
zBsS`cwxOJM(QR!sD~V+ocQkL81y0@JCrjVPio-icHeFp!9g(pc-@Z+EHtxtX#fRw*
zp<@hB-xR7}@Bv6vVO0fwHm<EVV6}zTrK{kfU@7~gP<bNL#QeN1E!RVYGhm=f56w$}
zLJgf~!0FqVdDt`pC7f`<cLwzWC@6;vgHI&96B^^L=MW<ILzKuqn4%Ujc*E9?C{5Ak
zvBh^-x~u1nAI1B^()lcvMKZbOT|rVKlMX{i`SJn!KK^$bpZNAe($I<d!Dlk*Dv10c
z`>XR**U_1Rpi@D*R(}`W9wBFMp0IszT#`hhK+jny_O(>(F+{0@s0$Y)kh0}R{coK9
zg1zj2g8={YEko2|sSNK<7ibEu-+guY)JMn|L8>ZBdxxF<-o~cias2`?4B2Q?!JG-h
zje<0&cpV)a9E{JhFE+D7H)3UJH+OfrqG03a3ABbD-sBy~$e~<8M}qR(d}N4D5O8s|
zlQe#bnn1^ZUwjbo9BsIWPU7~20prMtxy}3E=hW~33-#6u9(N><bQL%XTG0m9s<)}W
z@Bof%s-fQa6+%p9xP3}K3$OryVjiwL26YLc<L?bo+@uTX=+V^804W07cth|}LeNlQ
z8))lpz`?K*`a%8KC;G!}<cK0-)+OYO@79M?xL_#1AG*oY@kX2ipZMn&$c;SyK|@vT
zW{yN1BtmGEcvUh*e!}^P`2}pq#7W*wdO#@dZ?w;CFeAlw=Z-k2eR1%0lkVD0^CPDL
zk}kGu`D*|@&7d$Mq&$hvax5St9S+$DUcZDeh5m#tKV37XW64y`1}uO3qgJA!iHYh3
zo!vso%KM&8b=sDemP?1)a_OOO?vCN&@9r(pK#*bh>(dSN(^>$H(J{zNq20Y80nCEf
z8FC+Qcv(Z_9Y8B0HGoeCnu+0%<t-G*p4MQt(Sg_jG$ZF9-urP<ZNny&UrQlj8xV-k
zkEq%Cp!?%STL9%xhMPZZeC|McoQq3|6Pnd>r(tg&i(sJ^9W?|v;h|qXSUmJ&@i)*Z
ze{0Mh<o6oACZU4*4K+wD&>cgU2DPi`U^s0{4FvO>=cx3c5RE07U3s6e(NX?_F9pY^
zjYKFR^rr`D8R^}#;b*>vzrQ5IuN(v!hF>-Tt*y!pd1K!eH}E_s6Au@o;pfHgWp1Hk
zNP`J-Nne<7g#)m^Y`Xq1Hr(YF-<UXhDpy-AZZ9K<xt(h);(_k(+=RwB7mwAgf>0Gx
zwlKLb2G|NbIvu}5G7OPG?#WpGqhy(Wz4B$;ybz5XV?8kUW~Eh|;NAx=G$$Y+FprKM
zL**2_+F=F8shu2%{`#OCfdbtz#2VEfKFk609pX@QmP@ovvIR9_hR)pZARGf`NPWLS
z|A(a17vBE`caU5ExHvyVr=}o~A)*ib<O2)zeF3ruxc35VP8YLku=o`Jn-3WJTIil#
zeXsTh9WS-&Me+a=*TQLX9;$sJzlk}|1X{KL;v*rvTm9+X+KX&wx-Sn@?$r_acexA3
zcV91vJs!TGRYpHbKWHMfMh+4{)JLn<KOj(I*2Ue$Ku1SiC*Rz*#vjt*=rc!@Tjke5
zOr!;iW(M^~5I5vt={9kZ-d9tWe#v^?DD>|KB-&ie`gi6Ifv7rfqyLLSQER#w7`kOE
zqy8Pf(0v)a<4V%)*IakZ9bQ`c;SOqi{P2O(5Y=?n@_oS&DwE-wxBg`RImz}56A!35
zR>MX<v$f58^YP;(NZgtX1)q#u&<(@{5ku$^W>L1_z4Z=jCX8pzqxp1h@nGZPa&HBw
z$L|@9JiK9WJ7{Bf_X3JqH<X&8Ahu(Dw~5HLhqX{TAL>~C2Z61)j&^jjWYx?*&7LTn
zdo2HJUYKrKbua#@tQ<LPxRlPMoPlU$KZO`<GoWZqpUVRtHnA!)RtT_Y$L0>hr;TA7
z5E^jOYAKxeHlIDJ^8bYg7058!@+LUS0!nfLGevMPmppaHu-?nZ`&-tC2!#;n2ZZX^
zqhX`4-(mU!YIZPpYOiey+>SB*#?Y(ztIv#+r0SvCi7TpJW<OU42EZ4guxOM4mH0~s
zutE*K7$%ZAul3B~?SsoV^dFy9RG+IE7@R{Klp4AV9UpqVnWMx(AYID`KS!0>tnJlh
z%5j&!1;rHts$X%gkdBb3B7(sf--ZHL20*0R%7&O{p-sEZzPQbyt6Uy)ZWGX+KHlE&
z!WKc{jj>Mkq#)fMYI^g@jhT+0uE1idv?~O*3lIf>lA+6t7Yvj_J5~RuvTF@#G77^p
zt5qt?Ad|GT1T!!-v(zqX+LWx6NF+0FnaWzFq2bKgXNF2>6T@37Y?L*E3@>Hda;B~9
zM>6yBL+8BAOj(ks&2(+cp7VA27tz1{*x>#4o%6oW`#kSCPai2tU?2qp+X%HrkE!rA
z7I6|BjK_5ZgGwdl3z~tN;H0c;qTac2IUN1xRLX9ZLx3vVU5hT-?ofst>@zZ73esXK
zkO;O)4x$F3FcEr{IhO|0zx`J~^^?u76$?k6aVw`~m;fOz6JoywoL)|f0zw`!+gN@9
zhSMrl80rG?d(vjenw!6%bN+}wd|uDrPL)cu4{HjH^~5j2`5um)hwK>vOrN`vlRd!%
zzE3FJl3eTyFBUgQjj%nD0;`C{Qv^ighsj-4C;4`7zQ+zRO|Pvu?wh)Qqu3J5GROLb
zwL5A(#v%yp%+Dn$cvijBdUq#b^h~NDsAF2nM>!TlX#Aqht!VYe<!sjCJ})o(_A9u$
zpM8Kr8fK;rW8OuVr#mDCB(vx+)O=-D=)7O*Z?8WW5D*hH4033L{JIe&sr!fq9s<Fn
zJy-R0%osF$bcq9}K(P5Q>$_Q^{(K!-n7r?pWDm)#V(qk~6tC9l0oIIWd;^0x&Y)&U
z#fg@AA|Kw%CzsM2!quau;Zf@zv;%PmC6z@fK6Kq;6h~K~AuDb~FEb8|3O3ZKu$Enm
z#0GErHjw+|p)uSh_;9@1OPgom#)B6|szg(O2gfUVL?}=gsZqG5u_Eb2m4~Jegekzv
z=3Rk)cd+-C$mN5uPBp2g{Jc56b-aU@qauTX6ohog+LWVu6xr<BKlaqWp-yN}PyHsq
z`}+r4hE=L-@ZhMAYMvzIS(<|quPY0(LL6$wTl@6mFe5ATEDwcpL>Z>xDT9)XGWE**
zm}3*x9q8T!godrwaw)vlXAWEqA1d^H!$e_(u~)+KH4z1KzIrcrrp+(|iy}A#bu>N3
zX$c56uCc94gDJu-v%$|zvKEeQm^waN$}3n<6BfUnr|3F-rgJT$v&8PQL=!#wjf(WV
zdy&gkM879xi4nXy83TUHwuyi<TZyb>CZp?BuJujmG+(<x)W3iWjdc$}aXm_!e~Y&-
zb+BK-2<E?HE~?m=B=ImRqsCKP4$A^X_(q$2CBbd(Zil2syB5)HIV>ct99L4Xi1X
zNu^onVSA=dyAtY62|X>slNKFpg&yWCg-hi-_Tm{zBoGKRVUzFooqK?>8bU=9ms6`j
zdC7TaI`|J(2%i4L2xZtb{$dhb%>JTa(0w|b4n!;et#<s;lm6qY#^tj)tzb#V>FAEK
L!;U-&jL-W4W%zWJ
diff --git a/public/feature-selection.md b/public/feature-selection.md
index ba76ab1..897766d 100644
--- a/public/feature-selection.md
+++ b/public/feature-selection.md
@@ -400,10 +400,7 @@ sctnorm_data <- sctransform::vst(umi = deng_sparse, min_cells = 1,
latent_var = "log10_total_counts_endogenous")
```
-```
-##
|
| | 0%
|
|======== | 12%
|
|================ | 25%
|
|======================== | 38%
|
|================================ | 50%
|
|========================================= | 62%
|
|================================================= | 75%
|
|========================================================= | 88%
|
|=================================================================| 100%
-##
|
| | 0%
|
|= | 1%
|
|== | 2%
|
|== | 4%
|
|=== | 5%
|
|==== | 6%
|
|===== | 7%
|
|===== | 8%
|
|====== | 10%
|
|======= | 11%
|
|======== | 12%
|
|========= | 13%
|
|========= | 14%
|
|========== | 15%
|
|=========== | 17%
|
|============ | 18%
|
|============ | 19%
|
|============= | 20%
|
|============== | 21%
|
|=============== | 23%
|
|=============== | 24%
|
|================ | 25%
|
|================= | 26%
|
|================== | 27%
|
|=================== | 29%
|
|=================== | 30%
|
|==================== | 31%
|
|===================== | 32%
|
|====================== | 33%
|
|====================== | 35%
|
|======================= | 36%
|
|======================== | 37%
|
|========================= | 38%
|
|========================== | 39%
|
|========================== | 40%
|
|=========================== | 42%
|
|============================ | 43%
|
|============================= | 44%
|
|============================= | 45%
|
|============================== | 46%
|
|=============================== | 48%
|
|================================ | 49%
|
|================================ | 50%
|
|================================= | 51%
|
|================================== | 52%
|
|=================================== | 54%
|
|==================================== | 55%
|
|==================================== | 56%
|
|===================================== | 57%
|
|====================================== | 58%
|
|======================================= | 60%
|
|======================================= | 61%
|
|======================================== | 62%
|
|========================================= | 63%
|
|========================================== | 64%
|
|=========================================== | 65%
|
|=========================================== | 67%
|
|============================================ | 68%
|
|============================================= | 69%
|
|============================================== | 70%
|
|============================================== | 71%
|
|=============================================== | 73%
|
|================================================ | 74%
|
|================================================= | 75%
|
|================================================== | 76%
|
|================================================== | 77%
|
|=================================================== | 79%
|
|==================================================== | 80%
|
|===================================================== | 81%
|
|===================================================== | 82%
|
|====================================================== | 83%
|
|======================================================= | 85%
|
|======================================================== | 86%
|
|======================================================== | 87%
|
|========================================================= | 88%
|
|========================================================== | 89%
|
|=========================================================== | 90%
|
|============================================================ | 92%
|
|============================================================ | 93%
|
|============================================================= | 94%
|
|============================================================== | 95%
|
|=============================================================== | 96%
|
|=============================================================== | 98%
|
|================================================================ | 99%
|
|=================================================================| 100%
-```
+
```r
sctnorm_data$model_str
@@ -419,7 +416,8 @@ sctnorm_data$model_str
library(ggplot2)
ggplot(sctnorm_data$gene_attr, aes(residual_variance)) +
geom_histogram(binwidth=0.1) +
- geom_vline(xintercept=1, color='red') + xlim(0, 10)
+ geom_vline(xintercept=1, color='red') + xlim(0, 10) +
+ theme_bw()
```
<img src="feature-selection_files/figure-html/sctransform-feature-select-1.png" width="90%" style="display: block; margin: auto;" />
@@ -516,9 +514,10 @@ M3DropExpressionHeatmap(
)
```
-<img src="feature-selection_files/figure-html/unnamed-chunk-16-1.png" width="90%" style="display: block; margin: auto;" />
+<img src="feature-selection_files/figure-html/unnamed-chunk-17-1.png" width="90%" style="display: block; margin: auto;" />
-We can also consider how consistent each feature selection method is with the others using the Jaccard Index:
+We can also consider how consistent each feature selection method is with the
+others using the Jaccard Index:
```r
@@ -532,15 +531,6 @@ to be differentially expressed? How consistent are the different methods for
this dataset?
-```r
-M3DropExpressionHeatmap(
- DANB_genes,
- expr_matrix,
- cell_labels = celltype_labs
-)
-```
-
-<img src="feature-selection_files/figure-html/unnamed-chunk-18-1.png" width="90%" style="display: block; margin: auto;" />
diff --git a/public/feature-selection_files/figure-html/sctransform-feature-select-1.png b/public/feature-selection_files/figure-html/sctransform-feature-select-1.png
index 030a8ee4981994c89499c157c2d4e74ea02c50ed..499171ad11954637d3357394588ef45880895aa8 100644
GIT binary patch
literal 19711
zcmeHv2UJv9)^1?}MFAD1B{ppX0t$-cETA9~lqeZRa+I746+|VefMiff5(*?|3RFO{
z<V=C&oO40Fed+G$ne`_BGxKJ>_iC+{uBsc(-DjV@zy0m+)bra4(kG5lA48!~CvM6}
zDWOn@#Zjn(6(k4X6SqTBf$-<3jf{pJ3PtCO{6`ctwq%Gx{fN3Lbxp-NdUn9gMtjU-
zaY?#W^R?mDW6S$AZYEsAr`jk@9zCY}(fhUct+sGEYU*n>-Vu><nipcoer|i|?Z|ab
z5Ti$a=)=34x47tdmb#UnN`!MWGV=Jm&X;`4Y-JgCO6f_~EsN`29fN~nO+v1Q2Hs<#
zxf98|?tA)gI&$1%*IG2@oSJ)bF6C)nB7!k)b@omkg}*3k`HF)mlsM`DJ-j(Uu?YWC
zczF?{P+q7*!tmzMk3(?$k0>H?ctb?u4F8gd|HV^|1;mQCxs1M&z9B75BjU%Wicw<^
zm6c7wU@&<dJ3<bdU1<5wpIH;_TdpfRgpJt>B&uBKwpgiB3pVaB%hSa4nk^@(r5P%k
zzzLR?mI1M3zO}J!;|&pQlh17ulu|;J%uG#}qTlfK*lE7IZDML_x~k1DSEQZMVaA#m
zEtb4nmx-_I!|kmb(DuI;`Prx;F-&)RC5}+qk^=*OyJUskU3Zx2q#Mz<9^$D8;2Yc&
z!mbDf#8$PO*ncI4j5o*OT3T8rr=%QvO-(oE+dJRXjinUVmzS5ndGqEl=~=lBIxeOc
zRrk?ov}{V+{;Q>J`0|q{PvYa_S)y$u;#of3s~cN>C+VvsOGihyGSO_kYR}*B_3PJ)
zii+06TQnjk$&}MNbkVzOAxiIV-_13-6QBI~o@}C$o*wS~bw66#SA4|e^bKUe4RdzA
zlarIZdFCt*r={J%#r{?E^iNFffAW;uCaZ_^*C(f@&XwTN>vLMMN_m=PR{f!6Wn}^3
zR4CMCn(l*tmp}fS2QB`t<+PVUYg^mZC9lE3!H5W0QsR>T9b^0F7xBN@Xn*Ixd~PVB
zlw?zqlapJNVeNk9ar;LC(ZB5(E^xaZkWW@i3kVD(BO~K={YhG#BP@rs>i)x7Tauz(
z7P`!)n`&&K5GyExa#K{;LT5isPMToU%x53)OQfizs-@*emZqqs_4wEpS<H>fuXo{G
zYooHToUv`T7u*zR=;^I2^X$0ws(GXPt#}}$nD)n2888mfyw&Ci^7rR<J!^f>-aa=m
zF|j2l+#62_PAX=J5Fz$)PH0SlBdUbA?xb~C@D!=0sHDfZXY1OgX<{^mwp1>jH7Iko
zI$}T+*M~_`VPhhSv%7TZl8%nftv44<SET~2Opw=wL~isRJ}@xwhNAH)+Z{zg-I(Cn
znHh6aQ;m=Ml`4(CtamP+-PzeumW4Cng#_qxw6wHzbRxsvr>T+1#t}wNCm5nMJvkXJ
zhW11v+l?DHjvP56fmgL;%hQ}&>(WzXJ#)<Gy5CtIS3z1B%i7x7CC%Iqx4)@v*)9%M
zT1?1V#kFONECz2kJ`9IU^w)AwQ^?ngEq}89D(pWJ|4VY&zs-gIr%Cqz5A3hH1QIxm
zWE2&fzZ`URb2Bz#1`n#Kr2iYp<u4lb?YGIJ-zZ&OU8zM511jpCee}<QqrZ5Izl^8;
z4X1#4^ndd3@Msp@nT-{3Tc7P&`R>OV=<lDKpD()lP4aaAXcd)Sf4*g3Af3?m&JNWj
zP5Vv_V~^E%2Av|?vE$@NzzQj$GhXQBT9ySYVee)DuJEBjqSDmttaiRd&!dCH^l1Fj
zTwejsb7#&t&STyG1ab;%*o;@4kkfpGajZ)nYjU)09V?9DbPc}TV~5wWS0zOyqj)-X
zCKFp8A8!DmXl1-nQF!S~jMJbCVRwU5yU^yy5kRUH_FvbGhd9etTRA<K{JQkeyFOI9
zg%4_9KPR^C$xc*Ziviq5!)pP!Nru(I!C}CCrIB4dgO-|F@O#D16wPt)hBn47BJ?a<
zXq~d6NT^cravi&tre<{pC*?5){1CCSY+r$O+@nf3@Upzo%?d1jxn5FIk~Pr@yE7n-
zpKQ3=EXO*B!xD_ec6#jh&0+d_rn!Qlq|9w2Ddd>Xr{^rO&R>Gm((hj3HCp;!)h6g%
zy0^C%BjiNykRK`wW2D=OkGk1m##8cg;-*6IIp<Obj`wP59cUK0BH2VP$I9N?s9AwV
zBrjl+knrsijG>!hvd->8^&B>5v924lUB_j0NGbSZUO|%R`NF&wb@kSPax7LXv3+1b
zWbeX8Lw}K7UvDowBY;kOa(e6LSdqBx_T)il4<{$5th*4@qh<}F@AW(+mNz`2Ru^*d
zCjwSjKJD(svwl@Knjgo1>=;!`QOR~(u63=&$R^&O8*RJe=N0{RPA&Mb`#Sx%E0IjT
z-+}@Ikq3^)GPDd1#wt;}-4pS60_B2!WW#HbMGYBjj~11Nw=v7hxX#LvOIrCByW4Bl
zrJjBHmOc{q=KG6I3r8Pe3#;$h5uclz+sFG&{*jMDl_q}5E_e~Ry>sKBDqCol)AoJ=
zFl7_2lmc!dC?vEGp)qPXEa0>GvkMouUX`8tI!79sq?*<N*+xkg$_L$}kX)lX0n7Ia
z-f|3VqOQ7sW#_UEl3Io$RU8{%do9e*E3lq8e!Sf*?|h&G!?|;{qK%;e5iryk`_`L$
z1NLn+nS>JTPRaWEy35Kq9qxRL6*z)Mg_FHKcVC?Exx1_|Z`vFMxw)h3VacXv{HiVv
z_4W0Y6c<yA(2-r`=f8`jVi!n>IbPsgoeG2g{{A7dOfZ$z#HD$`e2GdacP}=@2yHZy
z^(NlQRyQ%dp*z74XMt-@7~GCvS~!K#%wtPbfs{(iZ}TNc*JTXgL|rI*vfE|wPPt%>
zQ;RHd?zZ_O<~4zI;F?<#af+-l&flLKu)K&X|APk?<mF*Ba+niWG1eaDc#Tc=(7FQb
z?p#Rgbt)b1gTGCfmm;f<T_X?7Ojm{ux$vU+x~cE*@Nmg|vH8Ma86<mkJ&(19<H%Z`
zdO36Y((2k;fJdmSBmJgXp6gs*mr+-==k`<_0Y6c5gj25^|3=HIC)czsK1g(Xb0mmU
zr+BsE(ZQ<wS!HFr`F&Peg*L;RZn3`%lFpWH5$ZoImhg<dCIbM4@ONn{J@+Me)B?-C
z^-rXnv#=&BA0IaF%Gm9$5p`@2Zji_6gAKxMi^w)lEAS5w`!d9~%MWffISo4YS)O1(
z*159zy896X3m9Gb`^wjUL%97%>S`p_i0iJduF46&Ehum@GJ=Y4@y7ZeSKBruA`P_C
zQxFJi8vp5(_Mgr-UOjJrgYn^G{|E9XQcijiGLw^yzY|6AS;t01fKRv>kpJWS#=p`*
z_GkMC5fPDqSeWN;rT>Is#C3?!^F<S}Zu3Q%<=fL*f$rN=$vKs47s=oOBh}u;(h&Nv
zyIQgkWy;6C0)=6L#0?u-T8aJYx#4yN`H2&WArMiGjUK``m+Rppv6Y6atciy8ZyFoE
z!)N+$BKnPo(2)LjC#A&%zt>^33OHafe;6^(>xJZ!13-cgy~4+uxY8^}*fc^|C3!1b
zBEmOG^4%o{!qQ3gLDv~fjcs3NXJ?dkxr>q?crS|Usy)f>bVpi&)xdV_MyavUSp@0l
zG>ooS=s68IP-)v#b`x|TR-Iu@BxZ15Y!vMu?Cj*V9xQb#9id}aOaEZ}29EzW%1pJm
zk0s!rFQE$_3vNLE6e#xi!<Sxs;o21p!&Av|3amXPh)LQo8D0!%ei8WJ%N|CPKRd$z
zh>J}39z=V~Cbr^mVq9EYmEmLcVT!}2AdS7fDR-@6p*L@)d}n^g7rp6Az&8`p)zVIr
z1K+g9c@oZ!lrJM9grT>>up4ezK0!f2rW`mC6_}dgMMy?(C(~G$Ug=BO%P%OK1C*s(
zWNT<_JVDub0*={4PaoS9BdmxuPwxf_&2P>ci)meu8)KP<3wT{|VA}WvodEj4F8XlF
zwYbAMUhyAh%ty)Sg~OGKzrSElGU0*`D_T18h&_9<4dGgZw!uMB)g03!K&IWjxW2K$
zhg7JL$Voqc{@f%VE(x4l0VI0!**?A(Ro}bMN-2cYkD29}r2*K;OkfR_g)H@;*`V{*
zpuZ*0eoe}BnV-MASF@|>PEvojUoHR+4IBCC!w<msma3>W*4O8|v*KfgOeLVWyM(pQ
zyi>g=JnHhgvB9<WT^0`jhuiDXMrEUon+qX%j?2|*!HT-?#x(LB(<6oJ=Td8#c~deq
zGuel%i^kpnL|9#4AADFtcPoqoGm#M~ee2dOFxV#_QW}w0@if%POBR834v>POdNgf{
z79c%)(PZ@^e?#{bo|u@JKPgHZ=ajA50ATo%(aEwlMqD-C!*A`Etmn?1`{4(GIPw@Z
zx81caWmy0p@Zce`iLglK=dF@go1&f&lN$*Y*p+lVa2sM-i&E~oM?V2*G)X>+j84#g
zEL44dprjzS1lBH!`F2-{6uHRiw^Y@%&P+YR&=c}lfT7r}C~T4ATrbnDH@SIvWj*qp
z7%lbYea{l;IJ1c4)9$f%@7`s4%$e)$^mZ|q*CqrmAnSmuDTD<65VhwK?^zSpt&`1=
zG*)p4JO;Oo!9}LJz+2R5$OiD|&r!5*GlIJ>=@i>%^KIb>yExZ3$mJSSGQ5Cw?E0gt
zr2*(}^aNBzM$5mrK-gOV#(_1Fl(W=k_><4tMN&8`QbUJ`@b!F<oUp#W{tyytMgoO&
z-RAN#-N)FI<2+qOkOl3P#8bwSH8VfI*I+EV(rE2zw=qAUuH&Ezq-HJ$viOYBBKS#n
zeZ}y@<nBWU32S-;hm8TJ=8F9wvmWs-^Hs@gcD<4;z{H4%Dp&*+7q3bZ#l=+41Bn~?
z`zKhtiKY-G^O@t9_OBXI+$4eacbxCv>d5ruNnFivDl<QFmN=)IMQp3~IWhQCQ-d6g
z@0^-?g`&F*9ts0R^mf~V`-ITOpxZ)4g}Cfg@k~aVF%kg3<${Hg2vZ}viNq4EdErCw
zaiAHqXh^w!<>O}e@vDGmCZh%HjP&;-<_<DNIdQwQhs5S4CxOguIcFT51(RN6H_@5%
zBb;nv>u?xPh25-5iA1LMG7)YDFw}2cx;`70xLliquvsHESYWM(MicN`E9&WYA6B0;
z2B(o9{t1qKD<CglL0I$^>o0sbaz03yi<_H!ZyPYF$D|~~_GdBtXS-$*C)u;eSQ}FY
zB_|;?CyVV)@tAj7^kk1cb5&$LK}O~|LWAQc;8$2g_4XrRmg`0ZSR!sOM{Fl&b~)Ry
zo}*~=HAEeU!BQ9CvrC*7Jik9@L8jU)Z#$9G186IcsatxfZlB;j-~7Q;P~JI?R0pso
z0-Iymn>$s2-YE#${Nh%my|>+k-6KXX5{nVGnhC3lgw;s%41t;SoasnTIGa1M_<$#r
zc!2r<50>C|=LIIB?Lyo*DXj{JpXzNV>bW+%4JxyRLdeHcp_i!EF1~sSgs|x<C7d0p
zqZ9Xtu(yGYQ!3uuo(a-iFlZ85C|#TBN)9RCC|l^r;fJG4G{NwLWp2u{RJzW?T7jjL
z@BNfyGfS6cfAv_^1&v8%S)jpc_@V32f!#kz0#15yhFwV(3HJCm=i^+)BSKnlvc#w~
zBcA%!6jm;hXOv~pYwGAcaK@ugcWco28a;67pa5iwnbR`7uuIi6P*pzl_2mSk`Z9QK
zelVbi&IpXo1BwW^DHN$6esj8Q>LR_}4!zw0-0lD@Fk`~rF2mlUucF9Wdp$?VY`e1J
z-1IcWzTO<;W~2<&DRDG>f+lRB38gDdQ7;5w0gAV!un#HALhe)tvV5U@M@beY5FUTy
zjxUrl@-%!_>2?}0I`DB3QV(<UnX-++o!tdAp$om+HPH}Z_eBwk7xW09=LoUbX61kr
zZlG82uyH9ok=MA&0{vzKQ<%1GEmIg2F~S@Db_n8t)#K!}0p@A~HUVfuRt>}jxpPvE
zZpuO2hI&NI#|a5N4`@4))rthPa!t(ME{@=VQQN7~!&ia7tu;QK8!X#_Lf*vEa`&6B
zXnSj`((iGSuo*-sv>GS|PL)o`QSNfOHV1n2JVQ!{84ln+m?!%W;Z1T9yA)uZ5W-P7
z^!REMzro{sY3iA}IY#obrZb(G-*6GcGbrK{LIx2R8vClZlc#r!Rb+Ry?e_z)V7idj
zLvfxAcD<&_i6MJCSVBoG5|zZ;QrU<0DbC2N#!Xs*4b{iV$-91cxbIbd%CfNb6mhnr
z^_*B?UL<mdrxzdC(^+s;mz{z_#k2lZPq=|VH}Z{hJbbfU&#B02i7VfY!r{jceFoYp
z&V9Kyr1gxt_MP9o4jkt0NBwKErcgzL{S}L}MemCjX#+SZ5nFn$m=JRI;@!nsMbGSC
z$H~@iH&W$Cg>%Arbm=(hWZf;DN{X5Xhk;?auT6Ih3=AARcn~NV_t~r(q_(tJ^w=0E
z04^mZ{3;BMJEr)6XreuocEEHG0*?YDH#n5u?zB3NKPe|?1;S_9dawD6_F3d;OflKJ
zW{d8R!#&1vI#|!$QkRv$%{$;8ETT)#5sdnj#_9w58XO89IB+mdqs(>f3AyNIDC7~q
zuze*?*1twSjHUxHPI(ahYWJgG1QPwQJ8YCqNRVg}Fg~_$8ZINFY`dTTE)V=GVfnwN
zI6^u@s3fI7VIeEpv;QAwrV(mZzZJMtX8Lb^eL`2S5<y<R>UO{r7N;IzyDMlr{uWSs
zz#O=YtZ|laeg_uPakje!hr^n*yw7P8oI$D(U<HC)S%Rs5E%6VzC*8i#03^yYcAT@k
z>{KmF9Hhy=LP$D_>{A|fjrm@BIYy0`g2C-KpVxt~G;K?gO|<P$Ro4NO1g%?$(@-uV
zIS^SjI}2DefT9|{AHesLB!gqWSk=F|1iWW%n?m2mdy>-9(nv#iW<1IoaQ@i0Z%_b<
z*!S<>OOV^3LLJDs86Aj%zi0uHV_n%25g3`Do9nNmcY#uLvywb1B;Ok6>HaGvlP@{x
zG}r4egDIfrw|NV+Xh*85d1pH0lUv7pKGTmQ;f0$!M9Fod1n2Rku~~SfA*6M0cL%+m
z6L(3s)H(aN>v*AI5hHngb~z2gHYZ`3lUxkHI3c=GbXrmPp+&=fmIUSp9~yCnUClqB
zHqu?`*OOzt^h%wVYQ*-I^!CQ|bb;XofU>cGBRpZi>%+VuRBRl+HqN3q*VIDHeZMVU
zQsRbZT#5h)l%JOe6yBppk4AnF9)zJWxXotq>FT9*K)toNXyZZdR1EdUevd3q({lDf
zI9bu|K$Payt;;p}k;2x!@@d)}U1mH8W42eW!gdDO&+G|qcnfL)$9MbOsB(&mk}U8_
zDr`Ki9JEFjpKIsTt_li9R_|&EpUq*}=ZcpIZjiz~@FNU*5Ot`^7k%RJqb#_c!41*H
zN8}I0>h>Z6`7=D_+}w6xR9Sb011m@721+*S_4bx&GJz=M2$cmyRI^<{opARe{o2Em
zI(z7iBq>RHqZF0pFrm1}(Js;Vwnf70XMZTVpH_>3ifV3D+3NJGkdcYp*+heV#&nD&
zOK4{{rx~JHNGmyd^K%wEWZbsG7$fPgFGPg;@DGR~kymg>h`0^m8lZ07%Oq@P?yS$z
zlq8ju2qkh~zI;2aBar{H=Yt17yAjUQT<rm_5;6sPRT{loJ%h!MaTXL5Fsw1VTm}P_
zvA6W}Y#G(iQD|DhU_0eR8(@T7T(6bPtgV{|m(PoVi~;<2dfIGNieD~Ivr&OU>jLFI
zze-02*bBZ6#%GZvfFh%WLQ6|aBza7J-SllnMn-3+M!6k#G}JD$ldJur$%bPcot=)e
zd=a}oZ!BdD;?Odze?(m_LiuZnA5zzKVJi7(J64DI!fU2mqRX#>N|&|)@31sys;73C
zt($WjH_=L;ZIJ!V3H++=pIvkr%#Bh5s#Glvs#5S4AX$5R(_?7a&iWx`D!DV_6v0Ee
z1qFROp?n5$<_JlhH;quJy9=l0dU9A2x%X(75vFv#X$-m=fj{8!E6v7FYMR)@QYv9J
z@ALdYxJuDMsOk0rpVIoxO*t*CzDOQ(C0X2dXF)aYqf(0dP9IKzRR`27zea)Di$^!Z
zbX}*``>b)$$EbWloMR5XPI~b2W{-Kh4l@TR%MFs>Hf#S0v+DR|b8&G|$7vuBU<Q~I
zS(JtQb8jEc6xa5l!wjetcSkw5^{rr_U@d&NmdEN5AkDD!a31IhoNfK3C|*m~)fQ<6
z=(Qx?3PS?K-HZ7J1vp?oNvSx5=l7qB4*C}e7YnI(b14Xo501kpWM*ap=^Q6Upz<81
zLV(f+mar==Vp<7ppHi3|%f9@w#ZRQ*c3RN$1@Vd4dR7qKn!o+85!dR?A$N84u42&9
zV6^yBw8~au7E0&x`;rXyNokD6@;Ri}7XE8izI==99dY2DKh1;*ziK4l4{bGvE424n
z{yW<Hf2KE!u!pF?_O`aRNmhV=^S=*Wu1Ra2eqnAd1|by1m9zevvO6WU2$6pN)YMdj
zv$(bOLPG-pbEDJ$Nh5oK5(+S6Y;5ceMIsdH`+t>r{)~_fQFfq|e_@G1Xms@|V9ao~
zKVjehjCcG)^0@yDPTd#bL3MQg{COb0Ahri)Xkv`0jt~?3`ufrcoeLLLE<Dj`mN)we
zG-*JGs0>_Eey@pvPx?j2crjTRBYXRHqy-u3wf36NKubPRDa&!0SxablcNgl`fLK!B
zbGM?9#^bFT+amW_zLSe5zV-HMUKm}~11iH9I|*zWyntzw3sdx%Rz6McJoJb-a4CZg
zx}Qonw~%-anmrXZ2;VAcs#@|^fDs^LmLYsxeSYMdH)r?rJks6kRFmeLxRu|L5Mm2V
z+!#+vfv4@Zj8PU8gV2_npP#>>I6C?C>C<c{FGyTMf`ZU`GYL1q$w2BzQITcMgGP#j
zgZxB7cy487r6%T0UvhtvDs<#L$b2M_M(e9ruar_A?BAOGtRHJ)XQvw69N-DacGT6?
zt=O|nVbtlv2oZ=r!IFn-FOh=q_CFIzqQvRf{-n)w?mxLQ|D2c;f#yFZz+(NKGBY{#
zx14|I;wnnM?)fSa>i$2px+^v+4$6_@vdK{YU`>Ra$X)$Kk8(llI}wWivB;n5RS5-U
zB|(0vvUq;aBTvu$5bIBT?V8M;1_^FHOUA7C-((xjE-AM)G}P&G+OhZb=Uz%1$ksMn
z$;$7fZ?{iuP}5=fKp|8Aq3ZG(1|`z#cbQ^+A4P2KKGYKui+ptN!4adThKb!Sn*}IV
zBZ_Rc2JPmHz!5<2OMxiUP^gzEBBY}Ka~~|yI-?e)*5ghski`BBy_X@wNkm2hS>wPV
zBw3<RKUYw=qQv_IX{(zrcmU%vFSXyELZMFmi1h!UY9Km*^sD}^4~7I5QC<q)uPwph
z1JC#Sgm4FOMAnPk^7uPq)I$64Cer@+>hp)M;f8P1F4xn+-APZvBUwp)f)i|LB`5#Z
z<Nd(^Io}SVhA78d;k<z-f4J~(_x<fr|1glh_(6po-2c?f;<?%SFwTWoq}5~3<N6oP
z3|@f}R`)F^1WRp_{q^JAHGK<uGPMda+%ykBcZ&g;Gq-RVm=tG{r!ahY{cdV~gkXpb
zq*;SP_3eIoN1<5%@U)0wCN+;EkH>NCf157kVx>L6)_$L7c0TlU2`qE?&(1n3p=+1~
z2>rkGbp`htkR4tq7^2_}n39S)5^(#%2q(E~6Zn#$Q!wK7hky3=sGthV^}r$J11P;4
zza6mu7@Nn8dJm#x0+4Ht4jpY<yZV?8HFRTtJ`{(KQUTDR_d_jwIL)FkIyxE>64Kt;
zxjxxq@bx7leB|%vXXjJ`ZbF<DS5fi~9ed>fYN(22k&N}ig}cS}DJ>?)k01Ac{yZf;
zy`izOvAJ0fn*HD2Ne&DMf^msi1-mDjVrCwk&_0jy;*juKxa;EL;^>&)VnQqAIO~7z
zYObcGq~vGlr2qrq2k_by$SQ!r^H%5Ko|3}DKRu@Wd?>->XOy0#*Ftx708La>RB&*x
zadRw2DaD&YFvbeBCDK9km)P0+fQ15{b7r0wCfoU#V&M%GO7}SmM-<<(ITogOjM1uS
z>?~6md%M|M_!Waemx&lW-W^$JUZf6^3k56c=O*71f7>Nlq~rJ4wwIKALh%z5Q<a&j
znOQ2u`}gm^Lucyb$&*$lv@i(?RZOVo-GpptKw=%VZVipVSr^#ZPfL9005zmZnktl@
z*&&R`a<->oy)oq^$%6JRJT&xU0mGdpy~d@$nQMbf9L1DG<p+WLl6dy=<;%{Ii8I%(
zT?6&djrgpLj3&p=aiFo--M|&-SaC%hKOz|w<@^}Z<(Q9drnQxoqqPByW9aw<VIo?@
zEkBs2bZb0Hr;K!>Z>aR?(<5SH*o-vX)~(}o^v9LlyXZX0Fn#)55g}CcH08&SJfZkx
z!Yx>S6mDN<oT^r^d(D(PvbwrDDT%pHl>kJs*!JZ4zA;8dMgRe>WrKNh_C@34M*GHU
zFJ`1^J2L#jm(%fy70HjWi#i2cydu2rtdHt#-&LMGv`J>dP2G~J*Zbns0@V2h`6+!5
z)fHK^mpjzo=XW+Y2PuLhqGE#xnu+3G3*s^|&nVu*<67`)1-$Q?S*tT4PV^52`XKXe
z)+fg;po|kc%tY2(mgME->khNUC{R&Q49$<rG;lqw^T9cIc$7i@p0dwKrQm4k?@yO=
z05k+t=fD6h{skBcwhgRga`%6=-OvyhN1@w<11j}REG$;L(JJn5dMq+hQcg;2?(D4a
zHMZsE=C*fr`FeZ9`;wANo1uVn67Bj72uVE*^8?HW+=;)BjQCK1MM6VEK}}~-Hr)_$
zwa%}wkiYK)@JG`AKeQOd!2Hoi1zh?(E>iT$b`v*7Pvz;qkA;@XoT=+Suy~pazqHjI
zbz9<oL;Bs*)6-oj_Qq875WF|a(Qv6mAE3X5QPWd7F3ES>p;Bx#BN1=b*OYH0O{I`K
zM0e`csgR~euV0@^Qza&&rI3)4mcDuz!WQ%@(oPNu4J|Chy?Mjz-JNe4HP)MqOfocV
zB}oAH4ChzxM|SrkMCAs-%<@WU9iS_=F5gPxqRz?6S^}vqCp&xFls!oKN=j%D9v`*n
z*`M5!)!p3<-6!Z}TMrcT@bU4nv885bXQ!mxjBgR%8V#lwIuFYYsEjCzAv!Lz_78=H
zh0)Q`&{2I87Ut{YlbD>0bLi5sRM6YcNM7|Phv-5>LRLqE6^l#GAZMZ&s`hjHZ-EaM
z<RK*L!Rwbu_<!36?ekV%oZHRly_NZr1u%l8xs?^~562})FluRPcFz3Q(#~XMeQH)L
zoG<B|Sp(-u>nKi@D3pQ*xw3LFg+zSIp+koXO9VF0JgL;@rhfAHasL1X{zdHrGYbn!
zh(Kn0NiNi5)|xgpA4_N+>s^UzgbgneBw}J>$QSV~AG&7X96WxKcI{$7Kmc>_O_Jd(
zbesQ;kt!<*i5V-PdZ3sPw4Z!gLet8d(__IK<wLRW!$l<mTy198Gj%0MsE#<-tB<4}
z8$N~abmjuDezVLFO7WQBBys}FL+^*9Ry5*`+QKY}E8#o6eSA#0scY)fLd4p<?pM7y
zvrxJcNO8aRHB&@H#Jm;RkB@+n<<!iTAz1<<wK0;XexQ-)XPeE%VIYj8NglSz^C2_^
zawO4{%9pXR9Nsbt3c3YWF(pw4zux=gebms<kcf!LZDZcSNlUxhj`RAy`=Chw0UUM3
zb~7{%y|)ExTH+bRA89Emu(8)6pij{F&4-Lq?(Xi;5`n-XegN#r#Ka`=42r6RgrA-G
zh+lfuKG+5}7|BQ+kTqcZqqnuS``g=LC(~1MhWYvY!sEX|#>?J+2|NA<H@tcWPKfgf
zJp3-DprCN`=1r)ug6Kt_9zVzR@cS27VDsrjFJ-P@zkcuDy@wB%g2eXjDl5l#n8EXl
z-2d|I;YhWQw>Q7iXV5PoeH&hNLnEW6D8A;zxx@X<sx`vNG@H*NBO}4MH42YDe*6fX
znF>#)X!D_})U-4#^q34lV+i^A%k$F^{F|Gtp?mAdyX5m#(re@B;lqbPvB5(f08H<d
zD_0;E78Mn3ZEXP)MJs4;veAx`Nk~t(0JX*&UwaeoNJvIw_$-f|b)+xUdW+NHBWw+z
zqojP0_s#L>5Kpx5xWGV#(+8DQV9|NiJ32Zd8pnwa9^t=xW`f!|@$uuw9ck)%DlU4@
zgbz6{sO##+#>7~HGr<52s*hvT`o4YpXx5R6bPzy0pjqbX;Oy+I-i7)K;jIdWKKk_)
zC_uvWJY8gDWB_Uab%&(>)YMdjWCO@aPC{ankP5+nYh}X8;R#XmaKn}6sUxCH+}!qa
zy?OcdX{o8OPDOKiqC-Q+^i{!3p)e{XW#t{9#<6GuaH>1^2AzH)->7iI2GH>F^6{~-
zuz(0xE3M-gqrKn&=yONDe}|UtY>>o5)e~OYfF|~JQVeMKFV9ZadAY<WghfQ8;N4Vo
zb@!kdTT~L@MfKhOAPJ+bot-?hva|DMhq~U}d_HPEBqCx9G?EQ~VBpE%wNARDFv?ir
zCh*57Csfu@BSS5%#{b-T@2}0x3)9r7sYArX($}x|a4>K^cxJnlm!6*9M|0R&K!MNe
zK8Qdio`D>D5QoDJSQ3p6DZlb%T-BXlooYiO$Fq<S$~4uKloW|)FJ8QWd6trrve!A`
zweb*N{i(IJ6%41Yre>DcyScducAUv5QNWB_bC#+l2f4uIDc&a}jL!DtNIV0DRLc^E
zzpJ8VOJ#JJs;{1P*V`-)lvKTDs+qcF7Y%1={hGQ^&H>-Qe+R3E%JMib>J#$`I0449
zn+WLw)HeVI2kp?=OPUXMNDn*vDln`>TcMV)^BW*WXa4zT{&H}eP5!tS;4Pf$T3YPh
zBu9^$icm_Oq@)~OSg_`%o|&F5&OK5g#Ldf_p_wO3a>cCuf^;nNsgozKxGaydXO?m?
zGc$8@=e~dc6DOy2TarABVyt$l^Fv2RUXSyOTnhAXLoZ+<K7Ep4^d4#JdYD1v9dw=E
zGqEhXQlCO1ccVZnz6CDM%fsVfdcuq9GIap#yJ2N#pXte&fF|hVS7wNM81yXk97bz{
ziBC|kBKnQ?6lKuQ_e{3Lmn3C*x$(O+*cB5kFE0b|11-*t8&97^+5B=R=ByQ4>VO+0
zEnxa_%`q8OBaPW&YE(~zT+;09Ech0^h%3^xuPa@RxoSW84f@P{63;TRd%X@P4he^i
zAnRZJoS2yHs0<6ka8uEd^6KQD$cYB)S#QSw0>m(_Gix{ETa=P!%uoqQ2^#=*ynTJK
zfY1Yv#}-%*RXmb-w!Cbso=f)9>&bpNDMYyG?kt1v_p6)xDvOSYR{e6xs+t;7Mompk
zHg<N5T8x0*4VQajFZuNj{>T~MQfNQbT3Ra1RJJkIR<k9zi^qFY<R=qXXbCvOvp)(_
zF2=#KIdXz})ZG#mow7UIGR07twuHoEh2+x`P^jF+2-*yJQTzn{vuE)F97m?kgd3C!
zX%LNMU9lgIKAO8NcsKmq59OaL4Px6)xNF$i*+BrYxwBC+q<xTK1l%08FoxgVZEJ1y
zrU0qBxyPB#Uolh5@I_X*<X4%9ybK7Dc2i|#3PJJGL7r<J>JlVl^HLS&{AgsHoJcp@
z(h`HkVmlJ-*TEeqMbEg9EDl<?Cfqd3E6&YbZREqLFe9+j9TZvhb#)LE<_d6w#f!kI
z8$-GSsiOk8JrPsc!azw^<*L<=pWX6ktq&>H_{4;|sw(TP>FH_c7M7c|{1jYEdHVF{
z+=@jmDmTPMG?lBH$r(gTp$3`@9o9bBJuLLfx8|!0_HW=eD6%l5T^${&Dk|Wtj>ShR
zNGYkP;Qs0)E#2LP`jrRz4#4A<gK+ASSnuBV@W%0j#AFu?GPtP&G%;2d7AhQ*P%(&t
zf|Q=?73&b&FT=UW#>N(cquUvo5a_DtQc+iLj<_oAf@vVP=88yCh)KP8j^AeJYO}Bb
z>nw~DwQ%}I0QDIvs<7Z-JJ=5f{tmVVRWvBk>z5*ah|VN>`KnU?Hb<pq%gow3pMO9A
zIMFyXG;OBaQ@|)mNlB14zI^$DNI^9;G$1GGwCPq@YC9lPLk=B{upW!RXU__|PcDED
z4ahMo!&G%h)W6=|c1=?iJ>{a(pn%9&QC<@x{{s@^uhSg;>2KePLsv@$>RdIQ_NN5{
zj#09S$BrJIdjC}5L)+ZO-NB7O6l(AhQltMd+7+Lh2mRR4%=Y@+P91wD2_r1|{(-Y3
zm3#+Kiz-M7-+z&VV;(l4*f_B-5;mdYjeX9zid^Iu?7V0SYNU5uxXtlKz;LiGl#>+z
zYgy~-zm-jdWS<j)sQ>&p%lU0bzrq$FGw#Un@bH#+X`~25il>}$FfsIr9~c@|Rae8;
zFh8EV+sN(#5My@d7%R@arfYI32NhgH1G4dXXlMu`vFLiYL9#+j_Da%O4($&r&fv|w
zr2aH~3W-VpTY54e{c1u#9`+0<DJgyW^y$EX1MlPGuX1tiEr%hSa5x=7Qwe+mBsjLv
z>Fj!r9AyjGUQ-v<n{DWK72_~UQ?L@ikFBxB?m9v<`uX$cnivSV>xf_qGW;xBN>x=A
z!ftIt!)!-d*p2w3Cr;1_J1?ed<m6iom~ll|)a%V=9Yei*dJgK3e9v9iG4IW#8U``w
z*|LSEu4!Z^CEZ}nzxVkmH1Bwu6CnAC?XCu^<|Qk}<)4-Yc3g|9skvGGO{R8HYbt%2
zu9zp@xsMtV)gkRXK%^4ShKBUhFtMK7ritXHw!<jY@d)I10lERLb&r?O3pu7!{KUo8
zYUUy@A8;eyG_wb`ulV@*<mdI6VxQ2vFJ4Q03bA~>?n0a~<XZs#`;TqCKqr8$fxaN|
zp+k2qKPaUP!p^Jp!OiWp8MoERmO%wR>p=_Ez579`C@-l(gvMg@-dy}l&S%m6wry&@
za3l~Kmo&$b>}A*iYU|5Db>#G<x0o<1MDs)S_Usu%_GLgZXDKORBgznT6ECo_ne7U%
zPqig8h`Qe;xdOVMl7(_1M#gK&Z82i#JrGOavJ7footLJy=m5Tg0Nw0kj4+)Hu9NQ|
zpJu;%cMoFgOjjm$rAcUKZDyjEyb?Hq<4?W4y#a>6fHr1(+8%Jl2s%vT2zyRY6&o6k
zZ7z+#Ru~E@s)^oRg$OP~AciEKK_l`64R1q!1(d02?y*2n<w}{bXqivYSO*2W;i0G;
z1YHx%8LM(qLPEk1$DcxrbFROr&4L#K5zG1W1{GdJYEh-T>wU28#jD5Sti*!{5Bfp0
z?y<dUYGuW7>Cynm=s+V8s(LntUyTUG^>AhkSe*WbRv|X;LQt(L#0s0L4goZV9)rX)
z2t82hYGOS0wkAR?C*T(aTu&Pg(>e9u<EFNBDn=9bI>qw4a3yvV3WhGWwzfcj&8RYX
ztiFPDk=^Mdvglgo3F=u(E0AQKO`O?$B~72DIp$7YTKhm&MutM-OHECb9CP0R@S4JG
zKS-A>T7AQORuhO941e}jS5e8;ErGOP*a4ew%<_ieGhjb_C^RwapUK5?2d2QfP&Zx@
zbNqhyFfhPK?}0*s1k_jZQM^pd%$k?bpi7yanNelyfO3HYi?>b71Bh2T{FKI<0u*&n
zf!2M3dVrM^z8;_Gs!mx?P0O%NxS3hD9=ZG-<~!*5bJMbEXp5ua#~^4^M&Fy{X^zcx
zQ^S$~)aOG1z2mEd;;t?iSjhmS&q^R2d9~ArNEjQ8R-T@K+kowBzkan*HSgQ0p0lwH
z5{#K22@(U1p;ehp%lqqfr|Q?J5pwXRzz1EAwT_#?%spz(TVr7b^SKLOkX1~Ilva%1
zKZv-lf{yN9-nR!_tOLo263#8f4R(}CAmz^P&IbFf5Z&91Up8=P+|>Hynk!R_4qWg2
z4gZgqE(6F^P#+YilWYONAIKm!zg!0qEVcA5l$jl=rKP1%9BPmNMtqQ_)j2o$G0)O-
zq-oM72sSMy&rNQ7d3l*<mZ_0E9Q}GSzQsgiu(dVYw2hfj3aUU52el6m3OS`8K#hJv
zxDFCV?^Ey7X@#9{M`+?-uxH%nO29mOMlx0f(-*oo3}HtH)Rz##{HQn~Rz_YixM5~C
zU6r3)Sa>($Dt>z=(>g~SBBzAJCs>x8`Qv1CVxI1RB*49-18KoDdO-52J_4c!D%ldp
zWQbp^tgKM8f|Nir-$G+1V({Xt!BfjRt-ZY1htl@0LC`+7RQr(N8eFTQrDYzGnStEu
z6d@_fN-0ff&lh7?!-f*)KvIr3#e2m#(R|WNisqo-2GK+PY}aj7)x=Vg<Hy}c0{D^?
z<KW?6gFrtfW&lL2P!fP;)?p*qOkY9f`8i17{>z`5<QzcTXy@WZn9(B?BXHw(uO@^-
zbEnjBF2gzoP)UOu&H|<cg;(9D@$vEKXj;ZE$n?6=eTnGI-wJU08X*E(0P~Bqi&}I@
zT3jEvX=p?&-~aaZS|E4&FXKhpAL1lXgvHE#f{LQX+=Ol#U`R1k66xs|$LKeqpivav
z8qKPqza=XRE?c^rT*wZ~VUAnw-np~|HrR#cfnTaQaYRx|>We{;$eZBc72wJU5K;kg
zfxk^cQS*+{T%@(nCrK{iz5h#Vkr$pIsG#D|rm%Ft3iW6TF<7`o_s1I!UXuoDosE+=
z`bv2lV$Gjcfgk?HaZADzBwO?zt1W)L>!6(Ofm#PjsuhUCD=SDs0^9}Y3%xs|2NfqL
z8(TKvGH-nb?2zbXH#oXQl~(4x1xll1jIQgm8Y(K33=BBk;9{Bk_wR%H?%us&D3{=Y
zLI+sy=_V@4#|rn%Vdk1dpn_rJ40*IlXFHArhQ|o_={2nF2CbOngxNEH|5A|tXXoVj
z`S}IW3fRKD9%DqdFHWar_ToN*mZgqV=xTLd0gzK{oV_z9nDq2q9cKulhI@F}ebJkw
z%;-I~<g6n-Wdte|9Hec8=ACa-6gwl4kesaNI+ZwYY00<HlI<tyOD3Q+xMgq#HME5g
zf4MV&bySXA2EtJ_LaFIoZEdZ9fI!`<1*FGyQu1?LQW3?oumj0Dr($WO1`Ye5c-1wS
zCCqcgVMj<*+X!quR&Z%C5<DXT?(^9*D#i&S0c%`P>r%PPijg7e@!aOtyfxhW3J;H}
zz&Zfy`L9_My~zC|_U{i2EPFGKgPmQg+`VY!%u^p9R>^pw(g5Mhmu(=)?iW+8AOgxi
zd{OavfuYNh%?zCqi!KhW{Pf0HmwJ(5;2!eLLC@E5qM6>$-(O{L4d@CE?ZUTTobxn2
zU~7qH=<Hsn;|l$yg>B%Q($p}v38m&p&L;i|d_un&%!IMGK&U5J)Ru2p+1R!}GwkVa
zJ%mJRUACqcwUJ@n{qb7FYfEU;(9OGoioebeG>tLP3Rp`8{xy_cJ-^_dre>sVggy{%
z5EM+y%s|6f7to*oIyg8Kvj-ZX3kFq}WMyTM1$*y_j>MD&^c6tQm}pCM9|(p!ckWnO
zTW%~Yr6k8HF@HdVHj>w(TVHDk+B@L;dHC+<V6q>nn6nO|Dq;b3WoYCWLCpiO4K{n=
zU|l@yvn+s^lhQE_zl;+W5;8hIPA_2lGb`&91SmCL0f_sMr0_d9f+yS$!mx~-T)PSP
z*w`4z+10G($Vf;&dfN#>6hqc5KupL(C+LMYD~TBps>#4$1Vp2}R{cMmIn$A;hXrL-
zoug!o!Uil(PL1q@{Cr2CS0LCE-d=kGU>7C?(eMMg1X-JslJc(Q848Nauq_@$Rj^@=
z3`Ez!T1h@VeuX*!K6P0r+kmtYQq8~n+)*DO9VC4C{R#-lYEK_4MsQW--`yz4-`NO{
zjxL2T2oKN0!!rQz14t$8TBp_y&?l{}w%~*P{r$ig!DbQ@Kp(PO3bbh`RBbpBYVjU`
zB6WplP&{YF+y`|w)Hiu{qI5iFA&HByVQwx2^yauy7rU9dm6erHRoL8~+ncGISs;9}
zEDw+xB&DOLnMoKQKY3zFqphbW22@7hiQw0-$rwb19cS+{N<Dax(4ht#uccL@T3Sv{
z4p3g`{4I?hQ}je``G^QVe<4WH8t=!LW6tB8-4;Iht(#1p5_4NmpX)_PL9X*<7zmGF
zQt{X6V9Z4bbLkZbWNQrn!~396h5aCYK|$oOuiAtgI$p)|#WNsGzkU1m%djwGR(!=l
za>_Gj$^g&v;oR*YAVJxoi3xo1f?B|K6c(_are^9PYiX0bUPVCH041;>F-P`LynXu?
zdXdPc7w{xY=9{E33Iz~}f!=^kOl&^`&BM>n#Dqx6cYt&~LPpy?s0O7UvWo>OY+rH)
zdibFdN=o1exb4OpfO{0+dQhRNN$i{`S>AYm0H;~tE((>92(YOzjJViX`ZH(1K+wd2
zUt<!6xrYt>009Pnd+rYnMmZ&Y`(+hMQ2e*{>i^cQAG%@-jgU}q8sIzVF3wI&bit4~
zETO8?eS*|>+EZ{lEHvuqE~X1JW!&mJi1O;%Z#=`bPwk(+U%CC;Dp9!l@7jRhTJnqN
Y6ou~fcC(j{kte))T|p{CLjUpq0-^F`GXMYp
literal 19271
zcmeHv2Ut|umTn;mhyhHXND#4Af}nsPAe4;?S`w6;K~Qqexlq7FQc03UED(wyp$HNR
zML=@SIp>`7TZeAnz5QnH%)LE#-psu3)z{rsoI1774r{OfU;kRWU*4AzKSW7Ki9(?c
z-Mw>528G&p1BD_jq}T&joc7-Gg}43Yca*JAD2C_Aza)M`bB|G|GpM__ewDKipX|cE
zR=07PotxRpC(gT{d*|`!lP}3Z!VU6^dr4Ss4~aMRD#eqUoaOP6QZ*g3z7hAK-gltZ
zVBt~go_%<lh{J&r?;c+Kq2!}|GrHB5noc6@<MGr3%*<~;hjkfS+RZGKF11}~^N<Y6
z&0TSwcFEsXnRZPdNe>scTge~kOb;<6ghB`1hJ#EN;T=^tx8EM#C~g#zqEI(bdl=!5
zJ=C-CUuriua<~z-_d5Ks_e?JdG6WJT_=AMvZ~f#(K^^H0FUQ^|8D^U0kLqW(O=HC2
zcPhWeswD9_K3h)HtBKUz#&$O$uRxjcnHeTVM$^S>Pa>?p?#rRoxRcXqBxEPmR2t5s
zCq+<k8Svqc9Vg}f1%s<kR8E({xbMDv7@xCP+u6~26}M<&^XuHrJ)A|*cGH~!^|Q0)
zSS&WCw2y*;fk9YUI3<5sC5F6@B1A%WdvlEyhry-U&2)?T6&<1U{1z@?wLIOW8ZSpD
zd_er#*hhcM95qaQSyTfJhmv`}m%8Y`J=Q-lJ^$T*GVjBPQW4KlV|3csne5KLh^wos
zD`J|QnlkyW2G+rDPWB%&kAKei-JD~{-Hyp{24B#q?dTBV@duOS_2BulHv7-%)W5eg
z{%1Vpwb>%-wG3v+GN+COnboU$f7iDE&mP<len+>=hPJklvPX2n#bIp6DGB@-oQw$5
zSVc^3Zf+e5y=KJCVapst0$o3k344xO^0HX;{m*uxlF|2n=%z2<OE1&KT5O+*s_77_
zie2vNaWznhYzVzSC6JV!Ze?wqQI~G+k!r@DWZig+Eu;B9TVP4S+tAupE?RICN|n!R
zVIPbh@lB~_HgdY~U9UZIe$6>i(}_STF6mz}WVtM5m8Kc0z!yfa3zbb(GG3(c<`3e7
z##WWBVyC)tvk>R^ihtMXf!CuudGh40*Yp1j?oiCn+}Y-^fL?XDAz{7bw3$THb%~cU
z@w`UOi2?PswY9yyT8KaE>gp=io?B|sG+R7F&m2`#6CuQp<Gp^pv!|zL)Z&_`xVX5q
zwDgOa1e0I<%POPLXq;TU9Jsd*<jd&$?|Ag83tTqX0x>aqeH0fWtYxM!W#_R{s-LyK
zzT`6Pmi-FLU3l_ux_5J0N0nPSYLWK8nwia1N&wVdW(a@s597mswxRrK;QId^`!i5q
zc#t)?;uzQH)Ko;sT`-{TJ%8F?AWr@LrGSbdF+XUCI_!VAJ3rGiN^(BUtfxRP(m}V>
zmqEyO(!S4=_Avdm*HyYqj-%20x62N2<<0iGQ<=7<;fO@+bZ3rUl*@9d$a3m0_kt>C
zwP70GsYo)+N?)J*p1;y96u&gloOJrssj<;frEK%Q>8@OUllBaUg<(~*{H1WK>X6i8
z_{rs=P{CdyA)y+<iNwbhL6=lBje81Qj+Jg!M+mi~Xrj5fEti@UQ<T$V<=74#KHP0p
zBkYIXUY*M7ah=IusSe@MBclN(SZJ+3-cqP(+xA#<y*{`(QQ2y)n6@SgjqNW!&1Zbg
zdbD;dE~>zGs$C{NKxTY=oGrNGUJ%DAdU|@hzOBVeWMEBWwT&d$elanzNay*ofO>gF
z^}w=6C5$yA3rw56<g%DBezV9YyIq!4IoGS{IEMTB^=m+VZqL@V#SHWw=w7bv)cRTt
zR;0@dNTgOM?~+lkw3?=-CWbYtCJI^|=qA|D^`~B47_JIyE`B~SGt=|MW}+^JQ#F$#
z%B*{5Do4$9(nmD9w)LTI>p|xN8`HD?WskT+Y&*EB%qBmT0W?SfG^G26o*(>Vpi9Wt
zA@W|TF_8SUobDnLh2FGO5B=K8Xn>1}b+~6Kv%aw*ivdz8&cqiH5dlp<dh|$3OX~|Q
zlPRn)am9&fw>S{SXF_Swkei&GEarE)L05|?QFdO`c`GB%clRYG{q@Q<!%&4?bn@S-
z&#=r1&u<8KbabQ>-eZ;!=o?Ct<FVcQ)qQMdYk5MySo;d%<gfoe0U19|t*YEnWDC?O
z$fD^Zoc<v_(O+~)E!%u)yh$7_!p+Ui%gg(9q+ZEWG<vz?l{-0=ueUd^WB947q#L+u
z$p8$_kf5@W5aTdtnbUr(IQr)E?#Y~|Vywq0bJV5_pOE@6dayi7Z)?x0e)Hx?jR8Pq
zcylEhpOI8uT^&$AI{Hag9J$5^JrWdbA64Fkohj~d01`Yy*M(2F_Y~Ncl@}J?AgD0d
zC2c$*B{yUiv{kNHyd=`e8W(N}be?f*HB#7Vd8TKlS)}SzZBvu{fz`ggKHH7u%e#FX
zTv#(Cv{!1Pr{d+<eD*m{MF#WwO;1ltoFDjPz_;dHKr<VNDegAl1A<?yUFT}R2i%^c
zcPc_x_Tq5}6KZQ;_YCldX{RdXrilA9UG=A2g&B1ntH<rKf2S2NF2}W@U?VdQ<+Mj%
zXc1fIHF)EOUTTyz;#coTdt8xiC%n>W#ftNn7IByqn`_8A3HvJcuGd~?&S2G4?c12K
zj-G8>7^0K&qep{6J!?{!vA6d)L;hmSvX~YPClisVo=lSt#e(_3b_R=Q&z?<Z5BL@o
z6o6?MCFkhs{@i9^ty3LYW|PwKEz|q22nsrO*|an<3JiGj6wG>Zd0*1V(65u^@5*r9
zS{G+>v2KW!JV3+In(wp%u}-Q|-cXQg$<`QgO!XjivLQO2)D`FqxRXwI9Y1;(uCMpF
z@~z9>{z4_P+PhGLCR&YDx25Z8TG!oX+F332bMVjk?U%C2@ub@y{iPgN`<`D|lI~us
zw(GX6xO7MpX;v0*qd|%ULzg7}DN*8oHrN7PMCsEESvvIZ%g@i};n@#sT=xgI(tFhL
zoj`Iu@Rx4xKMh&`S1JGCX<<~-do@me$GzZNX+{qI15x=uXTA}HMr{)<bFR-l-I&fb
z6C(qs9P0aD4Ai^9;N|im%NTJm(DvXz(Vb81y){BJc?;D-Gl7a40@LMjk&X$O*^yN+
zz8f9oEen1-TRl6%h$D9H4BS|r!Xx+wWGA?GS2N)`J`1u0D-IldNE<zTlkx5p<!W4%
zs~|4Jyzkr3Yi0Rl+okC3IX~>?fCZIlXST)Hr~69PG?Ns_$;cudhC_%Oxx{;{>gHef
znVDdq8GS4N1FO#&9Y>{i7Ntvt?H8)}qka&pbko7IWy0XmC_~-Rqw7Nz!DgM=bHXzY
zHI>GP;i^jIV0ED;c58`N!@jQ-tKl#d$clp%o2k<1jI0>?lAGHz=WEBIk(V9G3PXHf
zCCS+vj1YykGz+SNmHZi(jgB6X$H(A1lz50*q2EHItTZklTpgkNV+x9eOs)dL@ZDt>
z-O=;5@ZpB=xF9LI`p1tuSnLis{qsuc`gI>zJI}&*882BWR!urGyIfYfc2@m%RyB8)
zG-G07j&UU`;Frvfz%A{P`6N61*ad#<EIHPEw)ZP*2r|FdV!!O!j@ns^LNCQjH%TQB
zr%cRp7whi@b12u>)m^!rj`WXsU$Jm!NOSvfQny*|RA!CKwAI?CT)_uKr#LCAXo+4M
z^k>DfCujG2X>Rr(uR>;x{-!!sY#Kr-X;yWZ8(Ch&$C(@3L_E<1UbVA5vqR%m93L9X
zu(-I$>*(>)JOA*9n3$qS6VWwiSD->Zkxv07iK~+OsY;bYmOc#6EFd1_3$tnD4U;%8
z>lAbUVk;76Ue_h^CaH1i&G3e`OYc!vSKsbdNI$i~oCGKjL#qeZytBQLW!%Os-;m)h
zah_+{{oXOUFq6rO2wj~P-mp~Rw`Gqe0oa_R(ltY?`g+I#<p2d;fwY_wGTiIjU<k}4
z*^M|B8^&kcYQD3z(qr3U0`TxIAw)$LgfJea4tOlQSP^aoFbm3;eIRDYhre5Y@i=|7
z99xrXk`SQzwQH?NoM>lfm#Wm6Wu}Q}W-wUbq^!7`&krxHtnfS1`yyd*Lj!`tKlL=A
z2~Kfs$0<DptcDLBJSfK&C|2|Bh?L;i$9DPKlCF&sY`BSa`R{8ZQAEHm04)uhCV3YZ
zmnG+mFy~r(V9v3l(a(c8)xS6{jUzU?*dV=A)w5aU#rZ`aB)emIl-5lN@=M0Mh9av@
zf~~sR;+-#i?b@o3ne)Kup4F1?J0C+*7!liyZ4yiwMn2Few47Qc?radF5(MBmZu=Wg
z%o3MWiC5)8ltrPAneRvJ_g~XA-zSH)UQ+t3m9{fTXwksydBJ_Pk>ixBz*!`kkj-7V
z7yiPh6s%WuU*+ab144nA^)>rhEzDTI7gr<*m%<$oAG_JYPC?KAU^&JG@qRXV7sNmn
zHC>kQnp@+i^uiz13`2A8O(bU|CxQQoY_!#g%odUY7a*>W<5#9S_>+)L?xt|{m|gVF
z4{?$CCsfY8$f%s0ob<Gik<>csj@JB8cU>D|#T`1$S6R8+VsYjD!j@^R73fX%U#^&S
zeYuJYsH(30?Vd&(+Vx`@HWSS$E>lLVIJ^7_b)L@x`VT>N2(f=6Bni73pTORGq2L_C
zM$yo@f{m`3ZkrZ$Qc_Y@+(Zho;CBZJcOm{He6=5O9Z}nhaTC9J!K4uT2kVn<>Bx^o
z)<<JJMIVy!!SbMz;*xo0qc%E6&fA;C%Y_QrO@~03RCk-!#@4nuof+=Xx3bx{8C<Z4
ziw{M1>^nE&1mY5Y7oN4)b`Cq^WY)^0UDJTjY;SKXr|VwQ$Xl)CseuhCn+<@E(wCM!
zHj7@b^J`90UHQS{cku9G#%+5$yOrl6i_z%q0kjCX{Mbh~;Z|7Se2)T^B-de{DCJb`
z;%A3WmozzH40g7+de)n>IJ0}7zMN4+2#`c#H}rh1Qg6GTYx~3U@;A=|ipgpY?FMl+
zc6Kv8L@b~K5>A1A2nq_W4{>30pxLzw&15Gnq)*~7ES{R{>84#@0_r<+tRN!W=^$=(
z3~0=0#LE?|RhezqF>TeIHp`nE!ETQLi=1lHi&AgNLwXqmhUYY$qXz^}iNkfqsYeKC
zs^47Q!rE!m>^?=;A;s>6$Q61)>(NN3>9q;s_Jm{Rotr;H>e}gX$3vS`uCwj|^`Tdd
ze3fT(s?j@}O?bt)fP$T^nU-{9tLUrR>~lsUEX0;Yrpxbf=A6SV&R1~#{CcU|Qv?@K
z_DITHlAw}=-L=AJ(6M4K+PHvi@Weye>`|`kV*&L*_+@@K@um~AGcGeuvKY;s^_DEt
zF2S#9JDW8-o5;{pm*BC5kKmT5^~N~vkV??J$^+S%Tvz*ak{t%$h<C3PtU#oy%N;^6
zYH9x2%dJy6ni~Yo4M65C0B@_7WOb&sAL3F%QyCRp#LbKbsfqD%I(qufRGm_2ARi#8
ziDsvdX}b@c5&8rVnAMGrc=lddj9sTi>FDTamt9YUOgm^~%TpbGIg_Bosb!g}N9=Cp
zO!*o0(e$=Sb-S)5cZgp3T?hC<8O&Y*prFF87NIx$s9;m3x3OjqAf6>7&atMjB~dNM
za;Q9z{4l-!a+{teK+TgUPa-2DVXC66ss(T|1{gjB!={W4_Y}m�)$=!1?YQ6$M;s
z%uZy0w>_UG4sJr<(3?eQIeZgLuBOOTMnku88+0-XyS--2w-HU{a?!u6G5t2&uP+Vu
zh2CmFC#ewF{L28)A3uEz{yv6jOP`>!HEl<9g3zbs=e_EpJ4t3P>^N&sCJ+L0j6=1+
zdF|B+b{WiRe$zy~-Nns>#ogsHi`y&2oosgORtr`bw+NJ=>E~MfW-$g&6^VWVTZ;{{
zn4Jamj_hC79(<%E>j_HFf#k%bQ*?9*e`y%h3tWKfa(Wbl-4MVbZzh7<?-BtW)n^<P
zF=KttnZO9!LyzUOBHvt70RSjIq4+U?&#Zg1kd#W|^W^r%47UH}1sRN@hQnjwU5}Y5
zuUMF(o@={2*~W?k1MhJdi3r3z?tBXIVMoUXxD9R`uha6RG<LmVX_qp!D-=XxubXw}
z<<1mrtWTssR;pkQOn|tx4BSC`ZGH&iesFxMS*9+Nsihj=aohXhUMGMk*(*HIwTy@_
zdqi;75WG$G5Q%D>R8&+eOH1HeHH91{#l=g(bZn5wF6R=mPO3KQqMGR-pCIxO1n;2k
z4s<s)G%P^h=3&R@_dPp3-b0PFn}nDWhi1WM!N&B)xFT_VGQDPbX$c^?2DUN8wV)c=
zat4RJ1(%JwAruzswo_bMK2n3kur<PVl<4zt{dMf%QAc>!`tr}r_Wcv%iddOHh|3a}
z{%1sGe=`yKADtQ`5rgtq`0E^3p|?SVTTiyd06%f9N~d5Vt%5Tbn4hofrY8{n*{|fl
zB<p*6kVI&DjmU-$(?;vtU+(#?{d%6TD_|&0>~)qDiJF<5q+jW+^ZOVOY2W`62!M~b
zx3#r32dGFZ(_J86wdXl3BxQ9wRtt<Yrtkhz4Zm*_yn<=L+VB8pM~>CV`qG5Bm{@Yb
z`uJ6&W>A%YTmmqS%#||1hUowuu^aec9${D9V`yJIZ~Jd+hR#3%yXSWW&%;wEXIWTS
zq(#;qVa5{h$>oo@b^Jya))3rc#Z`sz6Mt(}Qf2DsIucemFI45)&2R={?gewI19k&+
zEUdAJR0V4|8kn13#w{XFuM>^_gPsT*y^IqGg_}XWA<51-!sf>Dge=5GBks)wL=g1O
z+OEW?W3;}$E`wQf-kv2lqT$lGo*COb=&!P?wtTeN<Jz6)5ViXKg6onZ)~4^9XS!}x
zJHQkI3O=X#3s(ERu*-VbOd!9h3$t5WTdZv;Jk8Hq033ip5!cI<vB^oGEii2GFlG<u
z`oJ$Nwd(jWY^^>AWC1CwXGGA4(o=NGM?3XhRptOYhf4RAor^aoLdvAACUb_~VfVS0
zl#eWgNR)scrqiRjD=HcrqW8CQNwSAkwF_0953az$Le;lY)$_jmEz^}DwX5$w-x&d<
zo_{IrjJP=nl4!vzM!D{6^z0Opi`;i=`RY#I@DOd~C(A+e98|35&wIZ07l8xXYSP?l
zs`E=xAtdDHZrnoSOIQOj1fk_RZBgg7rWEEVT}XuuYt|6b`PS0>E=JW5+w7F+Djqas
zq_ri2=BdJZL{*xd;p!#VSBQKq0RBoAgAle7#>6cT^>{hoHEF|Qk>=!|v%Q3!aw$2b
zx62wp%`Rme8ymaJdI-V}e3J!j3DY%mEl^~Qs~*uZO#?h_`J>nTW0<h%_ol<Xx3YdG
zB|n_kmU4+ADTKHgTPxuj3SweR3=7U0BF=WMC4EMm3}iE!rf*{wAZNH6G+}U-y@gMH
zD;E%rmoxM?qe*Ra?WJd6SPE}8HcTM{f&qV+EOO9C<MDXg6E6PfI0l{zJrWb-&L&av
z_@-2Gh;2e;66DyxN?kiTx@}kcgEd`qmP=r7cEdzgMWJ^9o=5BaX4=x@La<68M-$x8
zAh2K2q`P5VwK>G^sXO1m0aNQ1d{**eaK+<v<qcdL=%gxze%{`#LXw~4*xI<N&ij{n
z@5{??Fa|@>(;I<Ri`X*c(@8PXpO4X%A?fK4u8j+@oosz0Be=;p4-$vr)W|c4`n^>*
z0VtYi{JP{_Wq#AyGwwi$|8&b7LJ{oxSez_|p!lr?B;yn83LgUswx-OOwy9wM7c4}~
zd<@{s8GM_S`BNg@^x`V8pGe9w?ao_+2s=fX`|{;kuw|F+g(xNl26YIqTQ7|oCFd`<
zJBtuu1E)9-u@hPn4<9<zWl_oip&?9si<(uHs>W}E=4}m9P)MS{y|iDQ0y#XYhU(Cv
zCaHH^DjA~(G*`c6pDso|#)g@yK!_RRC-TLhA$H#Z8Yo|IvbWDx;y`3ftKmwAirujZ
z!q|}epPe>cMX<IZYTFv}BSl3;uyfaOn(H_uE3-9&#ZGO@45&d;0@4}|;9L>56(M9-
z9Vxu=!HaW!wG{1IDO4|Mcm+^ZB8O)GD#*I>cm*I{hB7<j5i`ysm$Ev!8Fn9PNcdrd
z<k8;~ena2)w>hK9rSAU`@m~F|T=C2n9tr<I4i!3s|MxY%zf;mg>O{2iEOR<XAuNAC
zc5PQ2CV@AJY71$<mF4B?%5xB~DEvWl{rf72{-eP8x1X{mMuo}<-IXu9ySqa|Ku1-1
z`6uMUKb>Pnila~_aldQ0FG^3@gYEp23a|bXrVUA9qGC1vV5PFf|IIu7uavPN)1DCl
zSr0w#5Habw*t9myO{q9=*Xil$sYQj0A)r6VxqM1x`2w<}5{FdN^T!xSf`K0AnH$D>
z#kTRd*KH8F8eNZmh9VEn;B+V}nG!GoA+X7iuv<8i0U1KE!kUaXZ{9%C?~SvF=7uOZ
zJCpeb(Tv0eAtKM*(-iF1#D&#ps4(LUzQ^k0>#M*P=y*W~GqkV<3L%j<%$RTDlYt6+
z4RFmR31}G?kkFI>?%c4(AP{rAkUy+_B{V<=GFpU~ja#(RJ@oVq+glr9Ypv7c;|VS#
z41j*%@9G9_6oC*I-dipcFL&{{42GPF5ilyeI{ID4ZWhg|-^oAZP0ff=FkX)B1dI!~
z-*L))fGCg`1qFLI&G#FMq$<(V(HYKTjBi3Zv3VBcyhh*YV}n=!gN0Uz^LT$Muwv*X
z?c(pA;{L#Yv8&s)bx}xS|D~8g|5)|ElkDo{Ttu0a`z(^6v@QOT!nneoC*<#Fw#x+}
zvsUpB?I$cb<NGV;w{OmEV<7!A@Vnpr`+|_(nL<+Dn3p@4&6l&mgCr;w??3oHHBqX<
zRE8C9SH&?>ROLAczj}8v?Pe?<1ioY{je7F%BpLO<*^3mcuMA!UORC;UyqF=Au2P{I
z8e-5kA#eIP*R(yT$yAv$r`yP?OF~kyydq)3lky3#kMl#NSHX><M-=wwXzC8Hl&)<J
zmsS^6{y129ohNEVvq+%Ep_<34+J3WoA$$b<;T<;=BDA60_EI2r_V-;Fft6~1L0$}^
zj`cZ51ZpAVMUfzq0o3AN_FzO^_ph3pLarVV{@E;}J?e(j!yqBJdf_ZIp!UoIo~(s_
zhGcbsqLb`_IfmEKGl(7hs~2>m$x(&Ol{omFAld(J_)iYtobJM@NhtA{cozgu%i#YP
z<DmXIuodV~XK<BjCk!-?{BJ+k34WkaHEgmB&PP)y_7`Zj`3PM5{Olz}mu_KN6o^>$
z*CRy6-aDQBfC+%<=kxdc^*p*Q7oz~SdXF#upOb<#R_HGo!d=`XX@20~0L%<&?JhC+
z>$PNt2j8g~rf`5ZNJfzYG7v5H>_w0eg*sPA4I)J$FDQb)nSn7&AN0o(`C6@#C-%M7
zruytLxUt!S>i=Au-BrsfG+AEmmED6f6Z?6?dvdS>`vbb|q^LVS$jS`%9&T9TdCGw5
z72SQTUEg6e)NpswkaTN6IbKy|B?kvbVq)TCXU>8f32BMXX<7z`sc~DFYkqCvCw4b>
zuIubY6}lhkoq8J<mTNz!ov)G7WC+n)MR|EzTAHP$<uDY=nD^dL%z|v(k6&LMUcT#p
zUO<VIcm(tr=E4pI8JV|l-bA-di2Kl8HEHLCq*-WaD3C`N5a*zlr+K^ye^XRctxF7s
znwwqZM<H|Y*y|5(P<e+)x-%gL=I7%(f9_mmxPUB9W<RsFU>C&uPUDU7{r&w(s#zk-
ztvbo3EU>`2=FfX5P=zc<dQEC4mLT&GNZk)Al5BmhXp({-y?|v^=v4s$f!%4iFz(iE
zR*HT6-iz@@DNA7oBrZKeL+O}rX={IIOZfQl9P=#$gE0`(Zr;49UV9CCcE>9UbxwOr
z%cS*lbdky)E^)W4=<IAIif9Eq%h|J)3N};iO>)nWDX)F_@g%N?Bw~|q?wDJInyZ+=
zwvn&iCgb3#nGfpFxlf6S$3^$<+jo@-okBrDF}t+XG_fQvFCTPz8`43rCDPT959E9I
zW{As1h$e0K$co~d*4Nf@G7<W1e(V1I*X~y(qC~pB(g7?tbmyAq9rA4$vnF$o-Ws>t
zyg(Lq!Toq?`|wC@-XReYk@5qjM2cy5lo^c0U7yCNN}o5hy}f;X-LXO*!hWpC)}n01
zP|fuPZw0)KDNBcYR1_1k32qoNy!J70H!mro6}mzGh}!O2^Q8hw*7@KFidjB=UYIOd
zSy?ZmK>HaeM2a>UH}7m}pxM9wLt1@l>2qnA2-LLS4gvE7W#-P^`5_^p9G>g*Aq9_b
zm{|G{$b2f_aY-dr+jGb=Uqkc3gE|o(n>|Si_)W$Kva$`Wt)t_^cQ{(L?mwHnHfIhg
zV@l=(JU&96Is98qjdWbYer71cQla-FrInc`lQDhvbOYv5o-@M7$ERE()trgW=lq#7
zg%LX`{RB}_Q4i{*uDt!UGWaIYq+zNtylxv5hYu@=)#a`c4a&1Rr1sjM*4Ebcpq7-B
zeEj&a`WI`1g7N-huX3-^QT>WTknnzfn87e-6ZDp8dT+_1;U&j>p{$0jQ$Autp2yH)
zF?BE@0-Vz&)=q(6wR%UhPy2`!WtAKX+4dY%9eC#K;^HaGrD0Af%YSqyHYX`IHny2;
z>YIG~0D6#fWMG^uJGZq}31^n{`E#vt6KMDz)JKjSk@yvvM3lZ6bPihZ_xJath8i*M
zEe{qCuyBxckBEMZjs22nf!u~l`PD7UWOH@SknrWxr%}j`D(WWTlakca9^JLDNR^6n
zg1An->jrYG+sFW;eaD9nABHPK{NKDug|rg*fZ5qu*wJ7YK4J@yu2pXd*hK<V25dym
zqUTh8zP{C!mDgQ2?eE^b8z&VZBO}8IDGQpol->IZ$0%l(U-|iA$8f=FUC4nElv{8=
z;12RScLO<I@z>t(|LF_wZEZ;NeEt0VzG|7<u&c;xYWB3YUPM-nEwH?)>dm_=*IHY1
z(r1@!`b)ube8gBvi@SLF_!Q*iD44GaPQM)Je|C_}eLm^R$%FI^{NJ-mge{UR^u%Hw
zP<)NH;13K8gm#JwuCfgolOAVRNK{JK^`X|T`*7R9z#!T5@R=uFxprJipKnmifizV0
z?n+Tp70EgC{_iiLs7j8)0_5^M5d3%V1d%Hs;5hRwQPFRZ2~_K%zj0Wn)b|o6=kmgW
zkp1j?d`Ca;K|ub0aPbOt24^*0x7S9zXt^kvA>Dm~j&6K>7<DuovP4jK=|O$v%9XA!
zHdZ!PsQrzNjmK$dD4D-~`_?}&pbmZ5L+0KWW>#=SbkzFG_wTn9`N?13{PovgU0m`p
zI6Ce}FOXjS0Y{;G|AvhjD)OTk1|d5e5)$I+=?U`(>IUOwtwIo(q1r(xjqJu*91iE;
z;IMDsKFDYefU3E<wUui#!3Ww@U5q&SzI|=7MNnXhq;_c(;ohncp3?ZKeQGtzBiDmZ
z+rKnwNfw6h6ez978^;Fx(3u+hTj=aRzk2m5M%*t_#ASVPtN{==36Ecxn``@GgAbI<
zW1gq(%@;K_od#C}9z_8U>NE#CJ3woBSy>1gyA4%}Lb1@d;^N|Ty&68@k2hoLV6rZ@
z_`w1bm)ni_yX|8l<l~#h-P};=o<a9eeto?HHA7_GH*qri$jP&^6LuXhQW{^KklkF!
zGBiA#tdYO|rQGS}AakKp!P~cQy}b|SYoHAqKY^CCwz1LD*qEq77>B%~Ge}zsDH;q%
zkJfizMOhjc8qUwno#HcAGBh*<`RVD?r|{u0gJ6bkRp|WuJbG(Px+0isWnm#bE@5zR
z5Tx@=J9m<mz8^@BG=8~u&3<crDX0QoOxR6}n7Vh7k*0d`YDT?p_UzdM9RVu=$W3|m
zigMy%x6@gw73kkz6M%-E9!-kqhOtPO<u=F@0$@+X+z*#0JrfMB3#s{o)WAtW>rdQT
z8gUJ<M65f)Y^<yTj*Fl09TfIwIQiYE&%*3#UH0(s=yaS&N;W;vi-8>j`R9@hg9b2v
z8X6ki{Ld@58298o2blT`iHMhr9Wo?14*qx}`XW3$d^wrqwG>ptLJT@IPeMv|5nVt-
zOKWEzgQ6-OBD+7?ktI!GF%n@1YWkNim)z*{*yb;LbQggj7#$lcM)Bs|JN-=P+FgnV
zDk{jRAq%{WCz-vz+@qu<C&vp(jkGjwU`p@ay@QDqn$EtNG~A<MpU4-rpk|6<zV+~7
zAMReT2en;~OV*aEMbeYtg@hkPv>ipPTONi4!Lw(-8OuYCSn_dVxR-AW%HA8+3Z^v>
z(?rB#h4^!vLHw==4s3xef}rK#56G|5awuu7dG5J>Gpxn|CTf*9y#hA-y`-d_cmnKL
zAm!Edz4la!%F3)B6qJ;PBFAqXp{DMgn83G8;1d$s31o#ljm^!;Dg+G073WoRr^xe1
z>F5M4`oI6`PIg;NjEtN-I4DS0PtU9^Z3s#M4$yK|{`m3UY%gQUSF6a1L-%E6{ey!q
zcznjL3npK6n@#&sq}X0`m6w--S!E+j6|BCwxw)k!%jl3BIe1YonoDe)oYVEV3OFb?
z*>>*IrKGhe@Fro`EVM!3gkn#0By1n30cE<PeQSf4#{3XDGOio8wzj~66!3ua1gm4e
zKk1w;qf|^C1vBtc6*YW#d^v~Llp^UFA@{GZLF9;v>H$lJ;snW%-~tn}!}P0A(t@F|
zSe<=1a+TU#b9r}79&c`bepp2B>>&iRb^5p2iaY0%kiZ7qATuF3St_L^tUN>WkXvKG
zqATd^uV26B?{RL3{JPM*G}a(a@jynV-@BRQ=x2xwElIgnz=eR<P*JN{bzp~$i?^3Y
z_G|XLcPDp=m$Gt5TLSo2Hm*eSqoqcuL0roOEtf`kL`2d@$ZX{bX~Y5iP=A}BN7=Ip
zA!DDl#H=`h{sHsDkm6%>DDRcxZN$#Ke0-Y5tVLgZ`zD$$52fA5L~q@?r4%JuH%EuM
zJGQhAHpYM9g81E;maEL4PhiLo@Q@ZcwK`N=<vigxGB&QPuBMS1ccq1G{20ufx>q<n
zCB@9rGL2drEU*ge3G8;4s<ejxQVdO=Voh%z8X6*8%Fk*Zvj85SLflrNi0+J_us>M3
z+fQ9kae$62E-hUR3#dlS;T!%e6-oDk4-;A=NrCpn38a#&eD6U5fdG0nD<^03m^EyF
zt%YwOZiQdbDS@+&?P{dGBrwyny}t@I<POn}fYB|C)YO!fv2t-K2Fc0GPl09*HHl>I
z%-q~>4W9HpOkP1|o;S`rii!KtossGYRrVqR+2?QIiTvIyI6rvs0F?EzA3s`itn?HV
z6zuKom6eqNk;Gygfbsy%45dwm^#)r^N;0tmL%n$MB2-Gfr~Z(cX$zUNpnYQAC+8qN
z5VD=I*?-cf1aOvBCmG;hB`G;6N#3>A=hZ96p+LpXM`vXVm4EBbyMUk|wjPFwfsvf%
z!VWn(xyndkRfnWXDznQc&r3%pa*Q>^)v%}JX|qiVzj=<DIq{5&iIIUJA|%8CxF9%H
zsR%*b$B);cG;6u$d$0W=H*Y#Rx_~IHs>Y@!<(|uIY=(eLJ=mSCwS^IOHn#DJ31GVe
z{r#>GMaRX(84=o-4Y+!_s|81LItvd#@pg?qFK`BpnHP4+S7(hO=txVeH;y*AYhy!b
zW8->xolQ3m#Ab+WxBg|^`tOSjf8QOPL1AHd(EQk-S`MFVR7B2be**w--#&tD(PZQB
za_*%XCvg<2=3kIZgqWdFv$n#Hi}v83J*dmd$^ZsDdS5_Ld;$r3XuW)WUE%nLdKcv;
z+7|*!;VYo1Ag}$1B%v_{h4K%EPs7m*JoVWN7xd-_%b>AZLjqeMg0*t<fMI5kI|gs?
z#d_>Ro&H%C7I9ejEaFyDe0+Ry=)}Z?VxrQU$VkQ$CvbK8f;QugfbAWoxh7yEP(Gut
zQ9m3$GSQMEeed1@cpW@A2}=yF47<JQz;0#;MHm=Quuh}Y!qK`Ic{X_jgc1OMfwM@3
zaQ|}UN~&y}l&h;Ngb?sR@Pbj;wINz|A(Qlyl9JD#F9%|58YKCZSu@T1M293zdJ4MU
zG`CxQPoh6kx`G^yK^o!YtcK(|m;;i2hm#YD*jun^!R=!1-J579;KgG0A3i+YL)`H`
z#bZ0&X>j=@M}_804khaKGf0wfWm*h~4Lw~&YC9m;3^TJPKM$E=OsZrUpQndMhW#&+
z7z`xaqAC;e&HJ7PUIVl1$TOFc@=bGwA|l--FixLSJSAz6xytT?EZa#T+eGTKmoL{E
z;~}A_%({#)tkq=D6n^obIB<YR)pe@<s*hNMN;*X2Fc%y~>GiHc5b@uOXGWum1n%+?
zsKrsy)SS6vG$qiVl+RMSlI^@^iAJN-56QDNJ!f)lZ9fh520F;T?-+wJx~lTu21J1f
zP-i@-ks~;<l3^e~+@un2Bw}}97v$w#f812cguQMvE*DexsZJjR6n^K`S-^AHdca*q
zhKCv9G*oi#ba_pU+4lA2c-gqfYZjsuSL|nd_a8eC06T8|g<Ub(d8Nw^+@yfR{KtqS
zM=0@u<R!Dmix)5K$K&J34$;ZU%BBOwgyuyyXN#ad(|Y>(`<98*badJ}It>jC8!IzC
zxO=qjU(LZju#nFNsRJTeof2;W+esxTqO)2NGN}Iu{OSNRl+Rv<3eJi>J+2!`^A5hJ
z`KymdGZ-fYvUJmtuVh1>5{kB&n3<XV&r4z?B#ia-Tfw%#UHXU(0EdRKA8MRTGRt7n
zRtNp1A$(!JWoS4KA!iR1y@HWJWVyAm!gSsKzVhSxXI3XrXO0DLf4w^oRbG^R$p06>
z8Dc}P5Jz!OYW^<k27uQ}%5Y&PzRQ>IQyc*vwYh4MP5@l^k~RfyJIw3@2U0Y#=$Jnw
z1wu~!W=-=t^q>pRA${l0MOIdb)f=SIkffJy7EC3FBPXU%%XrB&&1J(DH?a!UmRD4V
z?5Xm;YQ6CBIU)M}`}dOv$tw0h=JRQq*W{!zxvJ5^3snbk-x-S^ubB~Q-@*y8lkyT|
zibG87`@io`QegL(U0K<I!E)F+f?xgc;cP>c$u&h1lw}_h;d)SiYiY5A185c&7P=Kk
z1=jeuAtbTkOd1qJgd|14=7pN5Up$oZ9c|RrBhqFe8YuT-m5p6p%`lJ8hjT5H2K7!e
z`EhwlP=^PJ{RMf1&_ea3j`S}r#Xx)=gn~+7vsn#GFn<T8>b=u7F>x&rbM@i3z0BWh
z&^yL_zq(O>)8{p9&$vrb2kX$-D5porB(Ruzx;r(FS;J{NWdQaCPpFu_AN0;O<%$E)
z`vCuOC<SCdyXHOi1afZFZP2s3UbKiG1}oM6{sO|VHsk28TKB(5&%l|UW|<Y}yC*e(
zyO8DJi?mx~`%Z`=)@x!a4I_IyY6_YjcnlR9qz<q{&7tEW)om^=F0|FKcLRIWb%(Th
z?V@Lgbn$8F>5ygCWB&gA<*_PL<*aYIMyl8QeLv@vBAe0DIv<D^cq2}aYp^FYQur^K
z85*{yJ@%qL3$>>4agk{`E13~^6e`CYQ9nf~qCGD1l=?9##?lbihQk668nE*6$~gc7
z-H*e<X8X$DX@1keVGW8{ApnV!3=0Yfu+E=iy?F8d@IfLJEUR)*GchrpKJ5fr;6zee
zESw=uRL|uT651Fn^Cxc3-vi>P`~*}-jeJJ|yExE5UcP(@!6Y0dP=<dNLb@g1bRVCO
zsBfq7%NB0WD-8$;pkbGj$^WVak{@rCqT>Dg?<HPhA^85(l(|#XoQZ6V-zORt%&x*S
zHjePy$%MzvMi+smXy_B#f#(B+6XN4pL3CwdiGj)=z$`exxIs#Fy*5Ui%BkIIuK)Is
zXJE*<<MQO#B5Eg?xcM028_^j#;4+}EuRxOB>Z8JDL#zSk(Zu{1lQ@ilx>Z&l7wv?a
zq9CICwcTz@`c7T}J-B$N+-F+!#V|{UmzP%{EmVmT;vSj^A?E%NQPE+t8^$<jL9J-j
zyt#0n-(h|b>P<ez#j&px0?jw=$ee<@Q{bOWJi6XXaoOyk-6io#Jfy?VZ~(Ajp#l>~
zi0I9mQD6bk3lNupfUJO~grH$P?p~mFmAIo&-N(EB0Y~Pm#Or3d^EUujKj5bAV7Csr
zoA|gp@m2}x`<0hthCCy9O0w3}_Mz^0AbU~eG3EzSl!ep-szV7%hY9$Ke9IvWaDOSO
z>X9g{>tySdn7UOYOZnps%i7vnGgFCfyA8wyMvo<!cN_^pmm%_#XTAmD(fq=Kj<&Xn
zk&MtwFRy!d@0L|mbQHKa0oh3t`lS*tm+<n~g)eyohMZD3x<2H|{kr?Sc(pvrjRTSU
z-^<5(Z-HCPN_zJB^Jh5RauF8r{rg@pC?s;D?uRH0N-&d`4uR4ToA;SpN6iQix<eps
zl1)ZXV4yN*9-t#Pb{lrwrG|LwZ;SSM%Q4pJii(PG*jAn5fxJ9Hr}QxMEexg{PC1OW
zH`~rKO6EdA7t<u`%qqaKITle#RIcjRo_UN~fI6Z;)*<>g5PO7##7oo!1qbWp&w}nB
z5MO~*Z_yk8<~$7buZ9+Z24^#94ggIiToc|#Vny0Zv9iqH!Fm$2+ARF8&%c;oyT~vD
zC8F|VXOw)SW>%4B`@ek~U}Xlbc{$vvS{UqQ`Xxx>H}H*yg!#=W*gMdYkj6t;=z!=t
zJ~NgULjsGKH?=6ei1TV~^v$4s64EcT9yyY&LS-^X3mj}sERJ+&5bnEu`*x5K91>_D
zsbK_4B-_0N9RVF9;k!Ll`py<ng#}LTc0h7w9kdjvOi7E&v#No0IE^H`w5mYONVGPF
z@!L(c6D|dn)zs{C&A95V?^aSf&;IJQl57T!GvuvFp&JRGov>at{ZMfLt1KMVXmpm>
z)g1=qSGD7^fPnH^h*t5d6Bnc-jSCE+db-@FGwA5iqX9|VP%zA{Q!Gh&-~bHIF#W4k
zv~?!rE|S%9WY$QuK{<dEDV$~|r89F-S)9-P>lV<OY=egL6?@Qt=)emku$g^e#Xmgn
zPNGnsW5xX#VfTV-cGl4u0J>9PJys7q_l$@L1VNfPmN=kt?CcX@OLKE`P`jI%R_1wt
zHWI4Qd$yOeSj2syHeO#%EnF;ym6f%Ph$UJYWkp3rv4*Px_Y{FGyEM@fCF1f0yR!||
zKy;8%H!+z?29IafP0z^K4V)AZxZUz*gwzV8BcP1v6Qp}aYop<W_AQ7ZAyxp{APfEn
zGe8WWK5BS)IMiflWP~4rB&hjTR8Tm~c-<a~l1a%9Lc|Wlc6Bty4|rZ+$+gXw?U#Yy
z6c!eOiVvM;yZQBkWauO1!~xZgIVXubca-3G7JwbxeL>>gXHY9PW{5=C#;`@>q@$`q
zAFHZ@+G}aJloViAgz!%9Kk`nXx6rjupDwbuH1ric52H-c$ZyA#f#pNeh%e<jM6}8T
za0=;L%}q@qkuSQ{^!4>^ZI@e9bv&sdOAvGjN}L!)oU@0X!Sr5`3O{+(Fo60j2S=qb
z9<nDiS&&RPb?Vg4<_KDKGchrPXcF2p$9VFjlDvGAc4{V}Ig+KjUC1y_IP}YRF7+>u
zauCMKS9QnCpd-^ncPM3Iccqa8VQWxiq$|u5q{Ms}g$2)_7sEFh@`l1nbVH389QLlL
zs;a84<~!j!Uv^<(VF5h<6fgyTPEIL&Q$o`?XkQPDp5<?^Prxq0%w|3(5_jMTJ}_9j
z4Zu(HqC+GkB>VU8hjjrdOyBEn{jInLSUD~hmVqEu)BTi`lm`z=NJuzO5n3Q_2?N<D
zBQsC|-vtyG%J!ZeJarU~^iWd+I-)_vgacA-JdX;ML&@!NHw%ij8G2NLokjdFNQ(e{
zg@ZDYZ{HqeWQ5~x5Jmzi1=z0yGU5wlK5^4#7q35gi^bqOc0($Z@ovWQXK)4Ye@SG|
zo`fSBy%Ip{fXCX>EYHm$tUNapq-eiik!(WsVlk~|CrpJcjY8znmgFfCRG|)%{zhK=
ycYh8a&fWN#9R1sw?Y}SRgvS1j?D)?%R+$cNtnskNTgW5bxO-dbR<fwp)Bgp%e4T*+
diff --git a/public/feature-selection_files/figure-html/unnamed-chunk-17-1.png b/public/feature-selection_files/figure-html/unnamed-chunk-17-1.png
new file mode 100644
index 0000000000000000000000000000000000000000..ae725c711aabf2823fefc1f9c075d3cf90ff0e06
GIT binary patch
literal 466884
zcmeFZcRbhs|2L{Mltfd5d{lM_QJF;&$;zG$duMO@grr0vBqNd)%HA}{%qBb8duMa*
zufEs0UFUXw=a1`L=lpT~ak+iJpO269e!t$&*Yojs+}HE<L{3J6V(*E)BqSshk~gj?
zkdW-WLPE0JgKRr~;&I4$7XR8~c|*;bgoO4n@&9f9gR^=hB>#{|Uc0L3@MfahQBzTG
zYiriz=T*L|;ybvOD7tDJtIoCY-KtfX|G~~%JykPR)tGr9B{Q>Gvs$D2Lap?z>h5pv
z<gQ)aM$NaaeaZFM(E4U>ajnJF-6LLoBjYQNDZ>WeQ1Tdf&lhLM${!ZT72r}<Yrk~u
z{Li;Z2YziMzLVRwUGVQuSg&~OCce3{lWgYi4-!bWo%;LDk$*}_iEpB}?{N7014R!K
zO5z)jy;T4A7rCQ1wVk9{KqK3f<=i<Nd;5#_^m1Y2ZD|F0#8+4WRYFacNt^e+<Bb^x
zvewkwNv^oY%O5W5;w4Ft;Ls_a7#}y8VkPO)coPwkk&#iWg{xhp6`CR0d>j`SNA;z$
z(rBdq?NI7Y;}~WsL&JpR<Ya$;|2&h2uLlMOX!va^+S}W^y#CvzZhigoMU<>>bTrR;
zSjM_-`>!eLqeolwtPO}y-17Of-QN%MKlL&He_5;lnHN!QncX~n`gHN?SaM@yBYzL4
z;<viG>8v(w9{VH2$B`>(w)N1-GH$V#;Oyj`bdbnyt*Fi`ubUj|SI=O|wzZJ!k8rw>
zutIJgd|V}i$@u;klftHFGoi1AxE2-E{p|TozIs17#Kh0f-|9e4yrAV$;y6iK)9A!&
zJDagfBhO81tLtL%dYxaB^<^jAqcr^NJATw=m)B)IDUr)yI=ZX1u&nQTqCy6fwtv#f
zKTmltU$o`d@{8I}yqG=1(Es>W`kz^z|FR$d_lx}38vS2qP5yQZlB}ub#M^8tsS_>9
zA*k{^lWm(4Qc}KDr&(A=n`A|J?b$sNYiepnMn-DGFA7|`6k2eUgz8_kprwCVZok(o
zadWMU6dK~#!K`!rdU?TgF*=CHT$V-eW~{$3H_GCl9cW}zJIy*W^V~L8eGZ)I$g!}P
zQYX3nct5RiN2XC*s#dKQ*&XBFV%NUDKC{kjUVD0y8F#cn%Oz_Yo5P~d=tSHWMjFs|
z&M#InMTHjZh<5q(=@WjrwY3#*OtMM&^ylAh`ajYl|JPam|9vI@D;LNAzB~W>?)>+D
zQd$M%=D~lMnwt9X;m`u#6OG1MqCV^E>oqmf)@=%hl$DibWMqa?0Xa)+(7NQZJUl$m
z?pS>9O^KRUe|vJMR!g*&*SzZz14CJt5{7Z;A+*J$R{;Uh%)U-*59jCSv(!@p0|SGD
zSBw8FI=R}}*=cJ>=8>bZo#$DMsN8m?+uGXtkf`8X#hLHVX?g6~m)-z%y}uRCFCY+J
zK!um&xqm=_nDZq69U-3g1c<y6yx_DkR2yDYSlFCf=*4=Lk#R4*sF>JEUSr)U^(mR-
z$B$1<P5Fy#=Hl%XAEi0tC6rcwJ)#ueT)uCu@?c3LUAOWj!_6A4vhH(2LRzW3q|s7;
z!Kjkeg9ish9UL8PCw?|`Wpzc|yMMp`_wRiB>7MATq}FX#_WZVELCVQ3qc&*Naufvg
z^I*-(&)-WQ>G1mr#YsL)lW0akK|uutg&M7$(TwNr{e{8*57_p<6yz1HG*LP#ssOuD
zh4Nkvuc7^!wBOWPZO-^wiE0=c8R?ms*eA<orPnuG#)}5I8q3SeOG-Y8jg7s2yG)-~
z%Ba>ZNwL3*#;NF~j;5)Jnc0246_K2f=9#2ZP7%fWvgec+M9GSZy=95(@hDKz+P%EK
z?(&w|$*hmIy~E5~(ACK3N%rz{MXT_10xJJYC3^U<3HeyrIDIY+GjSI}6UIqIEPs{a
zQ@X6re!u_yc}l<5Npea`_qj?Y0lNu@U!~i4UeS9xOyv##`|rPYlN~KU<vg!GVfETG
z3@GV@UCMlq=${iKYe><^dGm(m<jIrsul^3Y#amjt9TMeZud{1pU#L!v!ynRn`uX`e
zR#S=oY;WH~FDN8bt0CE6?&n4I{P}Zz_p9g5sfPUht5sK3310MnAsQZz-u0vjVWhkF
z(}=hgx~~1n%6U34pi6(v$!XP_;-s+!Ctv|RJ^ggilJ@*it%(IE{(5P*CkbUj<w!&9
zQ(xb)I})R#qfPO$X_G~oxt8?*{1ctMM7&EEE!m96>r4FnM~@uwJ9+U(L&K*(f2?MH
zeP+D%dSR?3`H$U!qetyl7mPAEUz6eY6Uermk~_3}_ip-cjd3?!U0iCks?F32>?ZNz
zT3Q57z%NCg_<ylU{@<{uWd0r<EE&bt>lfkS;rP()Sk4RPT|d8kiNRXybBZ-TS`u%K
z1{|N9{Li(JG;`Y0{u-`}+G@TnyNIiNzGM>PI6p+qp*gd#aKYlZs1H!n_ww>=i{73>
zy?v(ym#0g%{>;zw5Px)tN#^j;qa7U`um9FBNrKK8e`#k&hww}(scm7C)ynGX>w+Eh
zo|d-67q9&hQL+bH8%yED&t~T4xb62~Iaueb*wU_DyOwFv_M^+I>-C2Z=jgv_SQN#j
zHiXR1&H^KeY^`T_?VNuh--eebxMXfdYno0Pb5&&^Q?1sGTP{o8_Cp+R8Ml*?j!S+&
zJH_(1wy$)bJ9kd%=1t(U<W%9l=;&ymz=x!}Ul#;uWZe1u@4I*JoVb0DE}i(xV57}X
z_+2OCvK>=oW0RRS>GnOs_VVRRl=PImv2n~_0{bgc{QnEbWwWLxZvOtOSFbu1^?Zpb
zUU2_bUcQ$eL=4q~jj|OI6}44y#y_-RFG;SzUxJ<Vr{7<sc;*ZFP-+Z~^PdTnm49CH
zG94DatI#ncFBz3hMeyus<Fc|cQ8E>kw$>Dl@Pb!cf#KmNj~^ce$Q&Itno{4Cy?5_7
z?&NsgKRZcstN#+6q@l4fR!@h47ZQJ_x=p6k$I`@~9(A4hyjxpan}DTLGMWB=OD%f)
zLMdsfknWE+mrJ%bo#SO9E}ZboGf7O1i8)Pw4X8Pk>prfZotcFt&uXv=SE=K+q6f-M
zLNav__agW42d#qaj~~yUJ6D4{oQ{RnDzFPH@YVP;8Xt8KB0y<`sK;&(=NnD$Z=u1J
ztj|@iW(+9VqU+F^o1442xeaj)99>^*)6sF66(9Z)@ptp)I^$#fI(5&?jNS7Xzl|Zv
zjJOJ-9o1-kVGj&EY-(y+LzG;u^G6?AEIu~df9b;iwZJ}zQa0P)4B<f2KXvMqsL#ZN
zDg8G}k@a6gL$9Ku=#Cu8GHvG;5D>6#`&-Se2Yx+tn*8ELj{Xu^>1RFsgLl2RwbgEA
zZqQcaFd9|SdHtHug@pw^vySFL8H^WCD)OV}P!lN`5&HW2*Ciyj*5~VRbJ8**Vosed
zC0%?yp=EDtOUtAGjOz6H^XGYZtSbWOMSX6^%ZQ^+3>&`GFko#%#q8|<q-qs-QhoQQ
zOIs_N?#j!Uvd_O)=F3^U95c1_boCJlWwQyfudxk2xotQF7QB~<IC0=W->+YHp66pZ
z#&$Y8uLZNIv<{wv+JWKsnBt^zh(LF`UUe9cfs3o_xK(_@V^p1izW!8C(OOQg8~NV7
zQqt0y+1cjp>4O3EV%qK-wsdq+{2b+lzkmOJ#i6y@X;H$!$e5p>|7Wt(9(!hEbul?(
zdwP1hOr)SA_Api`LcpHm%o#DV12i;Um<{~NSAQqqa<0_={P|NloUgV^sW~42gva2A
zs_MsGD@Ca?r0ZB9jU00=MMd3Q@#Gfme4A0U*pqywKR@07en?hOK4dYpq1Sy&$Y!LT
zXd#}#!Ae$EbCE*M*xd!jElK!5t+yyjHdn_z_Z%A2*9rcGw`~4&E1Zw`pM1~>L3>a*
zD^tZqqYJOGth;vaZo6YoLUJs*iIFBnSwm5=Ioqt$UwE~mw^xLNgX8R3U5qyj$C}z&
zS|KMJX=!P#*83dLsm@$~R#8<ohV@#RAI?%Yb8%V6TLQz3r<H6j^}4sIF+@g2$_gzu
zW7o8OP`hm)!24N#8%e@_+$Y|f)4Z|FQZ6no5tI8#EUA;5PB}0!#iL;SPViRM+f3qX
zczB6GH|sNBy}Z0k+EO<bnq<e*&t@#oRdWWue5t9WMR`i_XQt6@de4xMwpZ*L_wL<W
z-`E(g4Ywbtc)`znf8ysSVvnr5qwmsAeA1*j0&v)xq{K%5Ejg_?-)V8IqesQk($fEw
zkSgy95=)6@BM*Cfdpdl~_Rh71(RsXmB%smy%Dk<bf1YV)_ARp6#+#g#3mjNH?2^vj
z-mT@?{>sYAxtQLps>a6jY<qcHyv<mneXnbd?RYD0OzWTLU%r0zqC!WUE?zS?n;tLs
zI|<y_>$YZQHjUy6RdH4GDpt$T7xl@fsnh3>l$1;_a3;pDz0jYZ_c0n67#NsjBV9IE
zhHK@uHms(Jcc>}Z+L%VKkCpImt(}UAjU6}L*MLpg{Z{O8emk1*`KL|?ejO2iai|0>
z!+1*FSW8tkbX^wP^464<rKKS@c1yB~UP-OcR3twuN%L{+Z@eC{f&Ped*zk8_L(w_>
zdU%vwy?N}pCsmZ&s*%3_`-liFT=f;R(2Ev5Z949g{r&g#l;(M?BV?F7N1Ed6QaI8L
z3%zo4b1}9!HL^dH>yadwEuJp5=qbF+&)?D5XjK)&GL#zEit4G_s+iI{RQsB@z-ck5
zk83I2c`SiM&H!`Ui|P=gG~Rr-v9k_Fv76bns5;65jih^myp(nc0|VdpypWxplojmC
zGNImfDxt21?$_6^Uwa+;Dd@kUJqy^5=}uW0Yq_}<Q+>hw>FCIxDB8b&zo<`PVPQT;
za%5iHbI8$_b#wFc1z-UNQLb2S{}zWcTwGjEMcN$osyv&Un;8am90J!4Un#mbL=qJm
zx(o<0I5Z>-fPeGVIW7w>Td^M_sk0;Roj(gXD3Y|yqJK|!7vwlEP32^~c=zrs{kOTn
z>h7*C<H8pwFPf{WshM@>FWRwgyK~*h$Ot1OE-fw1tBkfd#u8dB)o+wL?pJ<>hVo$s
z6kqEHHQSH%7PNuWqRGlB<_4~{ojT#SpOX~zKmI19H`SE~$cM=>*rTDUn(MS^T%_$T
zP!M{-sPUa-pz+K#zw1p&O3Bccdw=xE({-(oOplK{ugvN7Yv8tCz&%O#m%e%P<OM@H
zMMcFl?V>-^y*lRp3*Fxv8sy2|HjPS2NmXrD?cBN3`+HaTRBi0`gy-1z0wN+?Gksrk
zN)iDVdp55R)r5ULc*H}>kLGe?Z*R$;>=Fa0P0oLs%U_|kR<TW5%3nR~%rR|G$9;IT
zn-b{6irLp{e(099%0q!tQ=u8K8$jDamzDIWs9tPgXxp_)lC(V1t|gB1`t8Af1H)BK
zO&O`xNpw@~xQzXjl>P|`2^V`^G9&{Td3$c4jzvYk+?Exx6$n13kqrj4p>1yb;UPf8
z2lcEZp!KYVg5bzV4o_8Vq_5r-)63=9Ed{pYjPbmEseOZk44xxBMb6=TW>XWdZr{HB
z=-+>x7DgTj^ePVe`ugtOyZ2=<>0;ocM`GsYQ~&NHA8=yRLqlxFMa4Mo{rvf}$mVi?
zf_$vo>S(-xhN`IOzd1QellzLrHXaO<uE*UBNpg|a*B^?$`iMij@Mp2>+8K%GUAK1!
z-o0**x|H<bJa_Kd^XErJZNSm?1&4JOxnMKVw;hY(*7I$r_WqgsAXfU>`5Q7a=mJrl
z*=8CIq~-o}Q7>OA+;n}ZFsYR`1y%1%X|nu{8#mO|Uq5|%v%LVg(2MHPE{YR8`qJ&r
zw-pr7%oKN1%jGg)C%)k`dtFda05Zv{Yh=XY>Co?Y5k0lqwNzlb@OEVrK+qbU`}(Jt
z8Oj^_BM<AUs!j+x%%In6WEq1<ek!myeR~j`kl$|N*r`))%QJm<zj`0<wOwDHefjbr
zIr&owI@f0DmatkOH$@V;g3XOJ9pI)vIXoC$C#0n>xo^6tt9ShR{K%q&<PdNj#La>2
zwt9ZF0(=Y%as1tFiHV7#J{1)e!0Re2cOqn{X=v7e2uuqCN93rzRZgC4O$pa@j6aRC
zZAa}YPicWfVKC*Wky<8e140#P>uglJ9Hpivr^oH<ab4;jn;z`QGQo_+rRd#~+EJ5|
zO6npb^8*te)4DB2{AvGp|K9NaXtd~y?wji%ZZ-J%`BG{5!;THlzn^lR(0-ambHqOI
z2%GZZBS)0l#ZC`vdwY7C{`~lMPU7g{!|&d|cU$gzoMUaP8J%7EX&e*HtSk3H9;MIo
z=Q7gL6AiHv;&+#Smp#R&LyJ3h(Oi@LsMAv`D=Xzx&C2+?Yueg9&uInzgLZ~)<L621
z`8*Eb6Vo?5R1TMc<V;kBpjuW|R>0;kVfEHlZTPipY%*h*CHzmN81|!Du@E^Kx~oNu
zmoGb_y%rZ24|3cGGiCE6BO_zBcg*PO>YA7!fOeZx@X%2jnnEbLCj>u%E$k8tz$h(O
zzbO~XzY+K*DoO;Ot+e!tz5NpK44+~BKkV$a%iCVPdX>fHo>uI*vDk*;9vBp~@a>SS
zX-8%vCiRmiPXH5puzT(r8RZ!^#PBD7n^`r`(>uO-KewT~yJ)|1^>9LN_#0u@)!K`_
zA2$05Y)B9we*b2}3s0#zQ;oE)qy(mXqH|qn;HeY5ox%R>7}ve&o+6497jk25-zry_
zn+XUMaF(p6^ZWOfxVxhw1Z+m+2G7(*iIkw33tS5P@%eLKSDtlwPEDjxXZ`FkIy#+(
zLr`#bQ=Cv-DJR|$RoLV9V(H&_%r-1Wu*eXuB5j}tyccrzrk%0FWLDe3Lx<SHMy)41
zc<H~DJ*8$Ft^HA3OF>S)_NUVV7M`O(Sx|Llr6gJ3)YN9w)_VME9V#O9(W9@xE~*>x
zg(xGC)L?(vZDT3?6f@`)20z{$5PcUPzl5DVL8_i<c;L{X+aU~LUKttl_(a^g6#?LJ
z7{3~7YNIy%^qyW`Why$Zi>0KL&9{#8N2Hp{Hh63!-M3X&Q}e-admZgJ`3DytSXxqv
z<`xwApWscJlh8LX0F230Nz+#P@k!8eZUCdcsHkXKHJHSbNmWBbHk>bo-~YqVS5GPt
z;HuTdaTD7g|7yB5e*aE@utDJ~X>HhZy%?9lHA7_k_SIBYCZ-&mzHa6ETf4|9INbTn
znKNlx1+69STUJaWQT(>7moMjaW$jB!OGq%pmTPg;)zs7sE^412uEPpUTf|37UBFJ7
zd-9vneDrhUZaSBLLLQPd`&@l6)DSNlRbOAvaP!qV))brP*6RzS7+G&FTjRnErW!q7
z2UeQ^Z@2(t+Z%^-7A-Uq(4`5|#dF}5RE?Y;^^@89cw3WJ!watgV9{eQ@$uO;C&*_t
zq^YJ|FmAp<Han3~*Yjh?FEsfm0s9~2<wJZ=)c~*)Z^tL)O^M0L1yKE77;S2KGf6{B
zYi41w)w{L1WXD=ad*HwU2oBiS5$LKnZun4rX>H9$vjcBOt-&Bk8X~{sF!Ku?{bxr<
zj|`WUWpP%PEyEe1MW+q)JpucvLZ}T@^OLwT))V7XzklC5*7k&Tvb%r)GJh5qgCDJ&
zIeprb3UI@lfhSeFr~^wPE4=dUjZ#cxViU<$y%;5zYFRX11((5le;bs{#lA^k`x--F
z0Pq9Dp28LOTUM`{cpp>Jx!v6G#KobeQ(A7y#-2uN1&XG`2C(2Itq5F3_2VXXkI8`M
zK+<bX)mrPauInDNHjxBWZZEmy8>3m|q{LBPtY3S=@p35t`MX~{(HoRg)Q|Tve?Px_
z$Bxhs4k5w8wosY?&x(sv_PK{2<<LxMF?Pqc853c^U=S26T=l2iyO&#dqN%9~Nc5&x
zNN`Zl0K8_f8msABH*cCW#FP=NrdG=xJshQhFK>-!OwS_(9n<-aMt*pMbrj!daeR5#
z4^ZttSpY{zh=k}CE>ON8tQr?S1)e)0vUF+zBk=mQYoXF<K7M|@+T34zd!tAw?}OHR
zP>E)O&hqkR#W0*j3-F?1l6jLb@_U#+LMFLob#+zwLM<-`M`~u~0(L-7uYv9E$)BIF
z#qkxptFFjpWiCY+C_FC4w$S(KQ{aY>b7~5^dF-dIcIH@MG$uXB35{V+pU>E3H}O;6
zeY*>Gh0L2v1Q@g*Z%wi2Ee68}yPkn>{Q9EB)X>n-^t4XH2~T@X=nxEN0uCKKShevE
zz{PZNtR+jWZR=;gZE|?HM&6`NSXh{-PibkX6=f1`zTYt}(fudV-XtfR0Gpw|CDYJt
z!f<PzAW8i(=;tSX{rW3sBcVqhK725Ku0P!v_mt{hsmC_X!WmJF+bH+Vm4QH6bu~41
zR0uwC%p>;Gr|%6`1$P(NU;H3;mg(RrL5KSK{GivblbS}4o>P^Z)JZmGSI<lsv3Qu4
zW?^V(7_7mJ*n*{H0+W0HmoHz6SBApDfkT|rOka0_jpg~ZL5u>x&}?s^GZ6#dz}9Az
zjXW3sV$3EV%|&Q+BzCSp5HiqExJ5eOUTFv%SA5)m1jNL|usS}AVdkz>IeXzk=3K@b
zVDFwr>9FHG`e>Iq=H2RKF9HJo@m&7>l=B3yaZp5r>tsh3wt4rEI2*tH6wRSS^JUaJ
zg!ta#t_(T|AQTl9HS3q5U%Qu#EMfhLZ;YZFLkiZ0&TaYaYH;*xh~TG=9lK;d)y3Kt
z&&<Zn-3Y$rK<f(}prNj=>=^eOQtJj97>tA9bNU>B{_3i#`{;z%l}(bl99w(xZN~xP
z#e3$~rb{SK@_mS5Geiwx<bSoaxO(*=RSe=Nxmst?9ia%cOwgwp9v3XqF2S9|ltRBc
zCnC~YFJFj1gcN`Rs~kAz$;`oF4$n2qz26wza&}?i96P(Mr6n^fE9<#)AJ%8nidT)r
z?b&sT1-ZG?tAwgPUbG&P?k7EW_Ut>^DB+_=kCqD!&%L($^XCsf%v{Uu!*PJhSSBmu
zoUE*@N-pfEu&Ai%$w@6aIXO*DQzN6}G&F(+KWM0_L(IGL_s}mm6;*}?;hI3%ss`&b
z)l($1N;dw4D<`99d9>Mz-@W^0DNcWAZgPHckymZU-R^wb2M-<`DPlwqJZJB7wVj1>
zV{IvI?#oxyhx=$;h^d*`AeWAu9OR|<EylL|-OwmcxvxL?dS=i`T3A>Z4GnHFP(@Eq
z59mIIK=8hJonjY9ln3sfCl#u1PDgD1wyEg{uzk=}HqLZDL2PEF)M&-ZZR;3TOpJ`m
z);gGHw=FF{u1`=OIkJa-bFFua|I($i3=EFW&a#n$c`t{ncBKQz)qE7~!>cS!_qzZ7
zwnxm}qmO}N|9)sURzMlm-Oa=x)~h-Unqg%?TV>D0!jc%%rwHH$sOrA4sDjRyyyX1V
z6gJX7o>W+Kr=m?@ODo2bCzxdi&Rkz!URKP!U@kA;fDv{5IgMHa)gb5!kFfCOD~`l~
zurM_{-iH>&E9Em=P$ZSwX+r`7A<omCJQ;2!%Qg712r!inwK%{bE)SvR57ZBpjPGgS
zmD{#$gT7KC$ip!X^#Ln)B<t{wUAwe%E&HC!iu3>tL1Faky?vY%DVS$zr-EL-{0-Vi
z{U+;OTpZMDLdv$8s$|a6tA6$MG3CkLQ*?B_pe|Jf%urvA*84FLd)(G0$3imk8^FMd
z!!L@!(5=?Rp-nhAEMwiKO?&SL!&%cU<WiQCyJN-L1!e;ZB(^CcB2psuc>fV`fy6Go
z8Hj@Po`#L@o)mf%e!6T8rpWVs=Kj{^2JVF;dC7I9g9i`lc6t_OXYbL_(13S>j}PPn
ze9nN@3)W^u-vgBrk)=u>RS=~&Z{7q3-VaSYb@V8oadSe5wo~G3y*DE6+VB5Sd-e%g
zra*nKnHkHkEfe09bmoRHxavo30Ajd{Zr~-nbBw@F2KReiLYFRmNLtOF233qP2W@vE
zC8sB8J>;P1$l@w7csn}<;GvN{fRa??yi_GQS5ApxC5{h|iOmsiJ~-{LIHu(6?3|*^
zCa{Guk)=KfjK;9LO%wF}F`XN;z@`b5GdM^PjJY-!Da@`seE6_@TTe?1FB8-E-rnBj
z6B828X^smzShm~h4$`=>u_dRwAF}0-kQAE?V!3T@z1^MS0vZG(qdxLngW3w41C@dN
z5kHpMh21v`fhqm`Zb3%^Ah{m<B5Vbl?|%8SL}s3w==J|fo_svZyOnP@IrjTEw17hf
z2E)cjMf7WqtsDs0OHNL~ISTNrYvQJc`b@LB5h0mzUk!$3_@xK;c*i~S2+euRq$Noy
zZ=3d}xM}0NN|UrA<=R_9C^#q%-aM?19KtA%%VZ)fEG$e+!vuVe>LsU#cB7}fhk^n&
zm+M$!JmBTly7iqqcQ6K$&-Fvaw32@#rO0i02UD?S-^^U5)i<95Xf!E5`fq`1EkP@s
zJ0WUcb<(0xzCo!NNL<(IDGEdDW0KvKD_5+n(y4xfoas#$0Slo*ZkbEV$n4*@FG$M^
z)DME?5egdAvE73Ql2TF!MPX{eu~U*i?05Zs*QA=J<~fn8Kt?U29=!TiSs7C2bc(wM
zs9D(Ag)jl09p?dO>emgifNHTX_BE$gz9Qe?(D3j{2`6mM_9rUp>Z~EplZC^yv@|sb
z##z<^XlZF-2%DNU8)re)#6|@%aGtNdI9*|>v!cAZybPo5>QwWkyd%`q)jF5CxvkLG
zap8eEbrAwNrUIDBuV<x(2z3vv5uzs>ol0-wZKl8<27cG)F;c3R;XT2YDn=#3rZzEw
z2O1F-WpVfJT?-3D&LB;o$T5G1A>em$;<_{y6k-|-!Q^32%g8)OGsRYkVMhPN>>ozM
z=<e<=Ssi0rS;oAbnVErOLCDC#G)3ony<kxmX<KyFob9C!tnO6?R1kIqpra6}${T@T
znbOzvIygA4ZCr0@6!$X9X^aJesaS?jVfS)HFKnB>Es!_uEMvT0aG%Bn2z~=!QekJ5
z;kTD2+UL9Ndw1^G0c#t&suW+6c8Qx7pS-w)#6^?V4^>L?t4q^5e@Hvu-#VG1JU%kA
z4A@)t?Hg_)T7rrjAB^`X$D!kawSPvNn3$O>FdSz-z2v%tsa;!JJ99ol2Ii6oc)J%l
zwX$|FSG(qBhe;Z-XO)DPA&>BcWxfmzHLR!s%t9wi92iCO#Oeex$!4dg^SiFvT)XBu
zdyHZw;*OD#8rn^5^$%De7$i_7S}Q9@D_)!d0UbfjKx@JT8@Th>3M#J|c6T7-tt3O;
zs}2siKxX1mpV9Pp?b_9|lcIfTJG{3bPA;xb*yosVbFzt4zp>9@2|(jxV9*0RTU(k=
z8yH19Ks9mY)y(O*Z|JS}11v`3rd3sc%*bFX7?RV~)kP__TYtbt!!n*z{aA{diN;o4
zeUp#oXJ_Y0ek$BlU>fNEY2@^cO-<Nl7r`gf*Zh2aUxRMbZfQgY23mti0nbB>=<Mvg
zXjp$m{xBM^qf;h;Ih2nof<KyMbzqR4Nb6vD%;@CcaO`nFXlN*y1JsEV+Cq6DzDKjT
zKe=yhLftEZYYy7MA@HGDm&yUo*)GacF0;SO0MZLhi>s=t=H}*Jehv1bN?*AHWR#tq
z?NlUu@uK~&(ucsw`EfdGGKnMbbtL0+Wa7a|#$fN|jeDQa`Eon90oNIHE4)r{{@Lud
zsE`n*w%?707qI=)-zGutC?B^C`}pyrYP#-|j0|f#yX^S*_>hp0K0x`*Z{MzA7GZwT
z2-tnVZE9#}II_rHSrj55PF!8q;a`J$R&k&9(LMq3@)w-*dGzQ}p?-mOT8Yi*OBBw7
zBu)+vzJUN*0XxN&yBFak0#3RU@+q}35Kmg+oNwRvprD|o9%osy2fx2P!M;N(l&~^+
zH)*3><|+Xr$?1Rh_k((gEdL@sP72ipX3or5a#~dbo2U=+dWib|fGdVuiVngZh+St0
z<MBEV?ix@Vx-@Yw(=SVs!R}^T3xvIK5h*?2V$~|fyW;XNoOF+cbKUp8o9XlBYCw26
z%EnNYcd{y&ZH{MTY-|-JG}&9S^_5a2D7oI`!U;gUt@U9Mm`+%s3;X>2pFDX%nsVsS
zAtsppkZ>~1I$LLoQkq7Qm++#(tx8eP;$AR2b;<G{5IP_gAbUZpfg2znKqYWC2s2Gm
zCB-y#ads9WM8F{qnJ8g1!>@imJ|oSEfqng#Av&%cUO7?KX=Z8)glh}NikbTU{reN{
zuPCa&<QO*mMyGQhdHZ<4{xxpFy0;{#VQ=vU=<>ctJMmYt;MKr)qt<bGfKr<)hqS1u
zU3`&=30>euYEo!K1nse7hG>qt+8(A);MwUxf9)$Pblb?k9{a@KAACP`_D<B}Q%*O?
zxO6M1^3?m_ry(|>fB*iO_;<lt9jJh>=eIo?lm3#%wc<BCIJk)3S5>(a?+tt4ri@Ha
zfxSiW<OCW903gJeVACleUIL!a&SKQCva{p!Kk@Tp#}{}NcPWA)%OYDV{_ED3@bHjK
z5EmEUxqJ5(?j{UZ#5gMI>b9VF@bK{X?e0Hj0_m*sBg-RS^N=Z1Qhwtj+fJ1hrA9~p
zLg$>@LVuvUU>G3Sy$7Rin9AE)DniB}^sGBnSD=*v&_E3RFUWaRo41ygF|f0nfrF(N
zF!J*9UcTJk)~3?42D0Vt?XBDxq|Jl98<^OrJEwj3ZXdATK9TqF@zb3-vYRC_a`c=|
zHaC--R3xCNQD_}U6)-;9fD9>}{~0=l>HYh+u|bWD9Q(^D`pv^wD>G7O`@a*DMQ>Uw
z-zHHxd2wN(rlKMgD-I@i2z-2DvNNY^Ns;Um?1`_(-Gjjybw#v+vawPrDJe~jjr(r?
zi$x8lP1OXHJjUk&`xHEJba54XO*%@rXs$2h^5x6!>$8sq?;R1xw63kL=Gn)7R1{>L
zNkBj&wZtrR=pPk53tTg9d{L1r{;8eTn`zXvINnAWLXNq{SsiGn+Jz4CWOoe=m<og@
zCnjF=nVq1cOKUNv$df6y2g9>c&FZt0Olv!-vylu#4gxDo7pIlMkU@5!9w_1k`{woB
zKVSDdL6BHvv6d}LHd>Qa(f~<d`n0vTtI5R3+_-V+!EaBLJpE6J>(_<XCNd}mXRa`C
zc1#9Dv_$aRa-XA%h>YBXmhA$lz{kf2qBhrNkKI&P*Jhj*y!7k1VO9qWYbR&tYSRq#
zSfE}YT}i&$iuVa92MX*hP<HQi1k?V}xgH_2RKruJXp?aG@Zo`>p%c&ZQQ7F{Umro_
zlx<f?Y#T>Y1)#rp{1><{qjcy;0BaC_|KmL6uyBD^18R?A!!(WBqz|{&4<hsQ5UxRm
zegqOmU_i~yieHO}!HzDgoXnn6DV=>8#xc+@fJ8FnOq5t}p`$gN=nrZc5Pmqc@^K-I
zq>=ly<^+f~jik-_2?jQ{aZFHAAN1l%t}~bcfVRMxL@&zD26l5p#D#z+U%yX6lI3?=
zFofZ_zISnE=7yvsSK$|I5|vcV1ENTjm}8Ehtje`MghLoaN`&fnHD^iC*ZyjTCM^iS
z15$KWHu-%5w{}_Gym>Qh7c8y-z$We|rBzi#o*6<&-fZ8y2Ezf>V`}J26KIfvwqwok
zH^}LsEnpt9ab7b(>f%ujU<W=m3roZJBF429Cwc(v!TnQIqOdYP&q(e=P1d>q0GvR{
z!xz)zocd1ZZVCkviem?u%iaADZF6%~Hz|nXsIA3op?3g*uyAk)V{Smqh5cZ_ouot7
zH#y0^HF5*H4P42nB`Fv}GOkHXObqTE5Xu6o2ik!v3J$^qJAzK5HrS@vL{@8#j*fFe
zDK2EsYFaR{E`(*<fo`GGDyQrBL8ib)<hh*kwXV(rgaERv#m|p-;eDV1z%|EBG%_(^
z>m@M4x3V%KAQLQ|tD0;1w$GLfaQ?{?wU2i`gELXMvqAofmkvAa=`b8&KM-QcP(nSW
zzSqM^dcT`FvIXr00~eQ}%Z(K$`BwaZXp`Ul*=%!MXX~IS{J+8d=1rcO%s)$sp5!)E
zbDaL#(p2|fq3sM?er^#YaKsy2LCFJas}?}_OkMinU>@bvMl*N1+`a~$1}C^1eB=JT
zdsRmnx9(gt{aL?U4(l4*bS3?RW*#@V`p1v;mT5FThN?9L<wNIkfl(2{sY3w5+9(kn
z4#t7LK7!prra(3Qoaw^Cf(#er=T}_~P3O{nE?^6?@$us^5jXf$>TsL$IAdupmmp(V
zrDGN*COs4f%N6`=0(ac|a?~I^bs_;~V*>{R-lq!|=e=yyCfY>#_wOMEoMD~4F7vkn
zJ8w!!Jqzcl!b^uDD}!xUXxS$kI9x>r+d#GdxttN0k(JlKr-Ynba1#d29f|27FK>0b
zElr1-kTDg0sDD@&tm*FF$QzDCI#dxOv06Ef*|)N#;w*R`{^qe$XPomv1*9W2rUrDs
z?!JpEW3)&4q^M<-x3((lpV!dng#N_h%YCPmg#H^^_|vCPb(|-8+pEX$)!*MgHl{u`
zaQNcI91P8b+}xi7M>0Nr3WH}T`8^~jCnts(V&+$zN$~4rWCh<ial!D8iOKl%G^acD
zN~$Xs8*Eq92U`0{ZBH<VTVz})mh`kqv^8CxtB?_mj1mjwhyFl_uB1bpL)z^#V0cx*
zz{?@D)!11+3O`!LHCAWMJ@f;nI|EPaRsXv0FQnfX&orL`rFG|Lpt+B;={Gfi(<`cz
zShidap~K}^Rn#GWVqUnjy)ozh_x<fp_%ZIq<#iu@fdxCTs(~gy7cSBI&#(&o5yj^+
zIXFR;nHkh8?`^@JhuFfUl~_~tmu$9S%|@D!Xu`N1X72Q}SBQ=1Y^}Dz$M>QF{8BkA
z{yYxH9SRE%e?chhu=opcIDgWi=dY4A<lCC8%;K~}!~=@-i9LrHD;PuvEa?NE+ys(J
zO-+UO{VF4Ikcyo&&kF;ll1|T@4&ZcM{*OH6i3>M2nGG1LDNR8?pHcP`f4++rF-vjz
zNY_7V^hBE&i2wCM;uOxR@qI&*ppx+ms<&#~6-1NSmmA(3{kOiakNr#nzKbFC@a9A|
z5<#eRa(YmLRAyhARpR=-F55}|5I%;trTR^@ehLOS?}~@TfAIPH`32wariSR7&1DV;
zA3TRz^cl@%ZcJ)^es!500UGB60?SyDQ3!#=lLDV&xh_hvq3Su*GOIgxe&Js+L7!Y!
zkco6~cJ@acU^y+D#-KUJqBp(nrF1K;Ay7^XvsJUIv~&$dLACNdAo=_EtvA;l^LDPZ
zuRv%W^tak44}oZ~WiP~&1ZLm$>SYws>kl)WBGkK(xi}zN@n_`3d6zpTe{7oLtTtb7
zFBKAxoT^w18*ule0tk6wbQVe|a%6uI!vPy>YiAVWvn`)0rQf^u9gA)-WTks(hqA&7
z<91rCE{x6@U#Sk^jN-aqj!5Ld9<^Y|QeEBMz#oOS<I42kAV)Mn+wS)o(es4*4MI!p
zMTOSkju>7sf_%_!;Ye|+XO3X^9Th#x#Dv>9g4`d}^pAaeYtXA{A@nFKznTyT9-i`z
z(bdy~lsvY$3R#xdxVZxS)sp2*kv0-0p@cje#<DgAoo3KqZ&>|i`pE%6J8w6Yya=$3
ztB-b7&V~`E2XpEQqoe;}V`Jmwl$8&HXDBPOVFPLhIRX7~7>4%}<SHP$v<a#EdI<D2
zI<OZ(4+(qL*fzch*NAzkv0&~9VL*MQ77`Q$ieXAqJgZ{yYKbth=eEE`t;9`?0NBe#
zswhBQKEn1&H>m08SViw)b8d)6;tx=55-BiL$J3+i=mP<;2|_ru_L0+8-cN_VR!$oZ
z^oI0p+o%m9FXYr5K}=QZDRygrCJ7b(t+gyi)!^`O8)DTM)p=e%K4i%20Tfh}GjejK
z;d(2-Kmezt<yVA$v&M=}HRxFK8C#bKyyX3`Q&w&TX;rv=d(hYnm%uH}cT^NqnQ)gO
zH>Q(UL-3?}g!aiP(0={dG5X!tDy#<q2BEP_?*GG=i&z$V<te8T`u-3Z`5>s81lQ1Z
zc-zG@IyM4#8CR+o^)4z(N1XH>`o*GC5zTduUZ?g$;jdq_MwyJPY8SiY;SVP2YO1Tp
ze}0O^B|f|GJ4%uYcee;H55r-g(+L)`g~c?`;)!Yb&G(4;1#c^zX;ezTlS?yBA7uzs
zI^1}2msG`@R)o4VXpay4{(YLX93f!_gOA}ZhpJlEAP^)rjV9%VhH18?C?zY;%_RQ_
zuGHNCOL-~r)P;AznG0|N;<FF8n6K_g1m+M(+BcD}UvA~*=bv!bs-TX4&|f~6TvJ!a
z$-^^`aQB=7`HL4XPWb7A5i2R9gZ5U9isC1bqAwnI)GhS(nv=a<{LqCW{#H0+=b=IW
z^pH!etWwz}$Lb0bj<>sH1C0O(tCBS&$e+3V;_d4Uzq5`NYHDi7)sOBwLyd4M>S(%P
zS~xJI2z(a7Agh0i;G;qWBb53;r3Fz@QJi(1!(fI)k4{kx!0TP0d-L(#S+Yk&zzCKi
z!iLP9Ya5_T)%reA)(IaAS`v7G3AAnuz(LIn)F9+SnA>a1%lnR<j|Rr|zPpv)Zh~WJ
zbN3CcTKHF}CkI1xHt{MH7pu7TTS?zmo0FrvZ1qmMe@>!ZJqI=)avfy!?}2V8_c&T;
zYxh9@ett@b^`sXPyJ*Y#xS_0^RGlC1iUDBfxWBpdK$MINLjwN=r3n8-;tEa=oPFZA
z;lBq<n~2h$DJ4yifIqEgWHbu%clqh*0&*zhcXQ)V%<yQuuTJO4Mh3uh><94WUO#r=
z0DYa{Kq2qS<6FeS#u6m2cx~#CXr_60$G~BFPR=?9&A2@)IbeHwfU_VN9*-Y?FWFq=
zbX2-5D=XVy8HIrHO@Mkm3r8fDz#<WK!k7v|YZ3bwylX=1@R1MHW}=auSw>AmpT3{6
zwzPyCI5R&VD7&<@6!Q7XD<+jN1d>J@A;pW?DP6vF$#C;6vs9F@E72%C@taWX!d!F)
zo|GXuGvE)a26{A{g1LnSQ;6m5n%&4L{S8~PhLb+4>w~X8XjG3ecKXbjTl~im*tnB!
z2-aW){0#^~NJ!yY+HNa@FwLtU4I>+bdC6yf`bApk^;oWV5At+F0EdwY0HY9sTIaY|
zdr;{!G}s)oPUXs$!V~Cd)3$bYuQ+pS_<(3%B$GnODuF!XZQuL(^Ihzd^!sKA>kj_;
z4j~ReX#rj9?c28y^#X={tT@r{gTx%6Nv*=Tt<H^MuEI%3Bv8fjY;?etb074><R+#O
z)>CXfaAenh8V6v=#zuuOlEI`qFlOeI#v0?Q0dn?zO&K&A2OS!CYC5;Kf|5vmhx3{+
zMwu^b5^;q6CKf=$fDgKyMTlXocNKw3SsnEdYzwj2z#Hkh0~MTN1t#Lt7UX1Pybhmw
zZ4KCXL(~VD{zTfNh=72P26d+b=?iwTDSsGgON%PJjyUT~MxC$#K#y3pkEz;6V4D)3
z*~a>ET{D=t_2Y}&(>U0(xm2=c22)0p+I6fs(ds}J$l&nMP*pTrh8idV)Yd_}fv{Cr
z^ABc!izC|k)gAFwXr4r+Po)l;5b3Qv<2wu?`2phZ<KkF+6;xH3C9d|)8gaMS^nLLH
z3aQR<E`N61n{l6HaUN2@L2p)EZod7bTv_e|`%+5gQV8j<TSF3xdFBW`qAFjd>;lTg
zOgb+aJSQXshr@J|wV=>N>!pqwVQA1W*xcOxY`xjRsn4=<`TxuUIK2uAs;Kjl)C31y
zsedcxMFkThBR#z%UGHg0$rhN?;J3%n+>l2FC#~?eM%(fG&PYZ`qaajHW6dmIk7y4H
zSm9%?9F~=>L%qY_#jjUz=3}5D#CkI4K(&Y?Ex%2`q#S6~ItDzpFM{L)AIZe!F?Dcs
zTT`<OzX`3CspK+6S~>0jTM3eM4{*RokJ23|1FGymoAY4uW#u0z_uK|YXue1$(qLMe
zGNLxW!#zV}t;|>d_zmbpXrEx3VOs&cjaJHDnyd0;IDtb%PH>-g@7#GSj9U*H$(;0_
zAsp6_^C$eT)PtsIE03by>RjaE$%u}=l3JmZ99+>ff>}}(=phrqf4rB?xsneHWz@t-
z{|))j!{RLVo*zHMIpw_gGB6NYMDM=i+z{vWp`%!N_I!S{8wEimv#NKyFEmJil+GQ#
z8s9{;DJ0kc#a;-pL&fG`Wql0=Qg9MZ*8_X|kl5>Nr^#XO&Ea!FJd1Lk%B!!Jb1cu$
ztvq<VT-U!Ac7@)nnb}z*q~`XS;<kIw`ic60zJ*EZhCZ;e;;tFzQ`Xd^LAMGDvO)F+
z{othi)nhm`rDQdDe)sOj5J4&rr6V3tMLrMU-3MYS>VpEqNUuC^saSj>{Uxl`A@GyA
zf1ddGT(TOd05-jMESAIhm8h6l2)hR3reyf<sJorW_>>^+sh5hRVJO@$Xb1aG2^tED
z%)hGWCX$8eEt0!Du=JJRLSMbgwi#6j3?>_xo<lagipvk8#oSz*s1K5KCpoXZYa6fD
znkd4AC8XiI6Ul;V2>d;sO?JiI!eX4@WMIGlGB&m!zYf`y(KEqiCvnKCB2qW-YWAGg
zG30PD4aMWvkb+;uv5@3Kb4@j?et?>nk1iqQvhUVe@9&o`U#@)r3CzkLrbK;!{M0T;
z%Z~`WB;O7_k~mj_^3xMMv_*3Y2tGtYD=*|-l8<S~i|#p5vdhyd90tos$`G<Lp=fC)
z*L>s)edywg){6W%yE}E@51}kb%H`0W2Xg9Rb5xlnE0C|eEq>7NU3kyOG~&Y>K}H-?
z)a|uuzuDA%W*>DJD3NxbG+#J~2$9d6Yifh%*nVyix)flTI@w(l6K9A@?ptfUP(GQL
z()^c)(|VxKJ*N{%Z5s!68vJZGH&6*UUb5J#0XTx_*6*n4B3LGsi(_U;56t+&6~M5*
z=2j#P5e@lxbksl#;@r$)+ChsuckedfK!-8MH67RVhdpg=IRIFYMdn0)yO$iSe%X5-
z4D9%pYN5j?Q%w-{NwjICvUHsjJ|k|7@TF0%wor`^3FWU>X1&ElKs9K+k((vRNuS+R
zE9&|NnokEtp8mA<b-;loh)p%;4<aYF9y=kGGFvr}^9~Arj?Lg7Da|~qvgHd5=g)sc
z1If%(v@@xmiHeLQ#11IbmvetWX@Ke$tfKuwzG`4~tiXQy75(kBHUnMVAZM2Q#95>3
zu-!4b**sN|fIuP{@zs4=pVP&o=icv@^e%^QQ+=4d&S)TU7-uc=5z?Z+Mi?n}ldQ7j
zFbmD!T*Q!@-})&qUHTzuZ7b@m=aGNzR`@)-BI-R6cbe?2huq=A@`~TKpN>`vh<X*%
zqOM_*V(W3q_uOY+(%t_)RVd!ey<^*F`NQqWre7F6pY_sxcd>H#!4x$-Abhd^;nFx|
zuHzK{Qjc|=P}HOXlNy@WuJ>h1EJ|@w!Pt5x4-okj=XVZM78_xEeg3W}D2ZgYDemZ9
zrIB0Sn6969(;2SSfV%<{W#K3f%;ju|f}&1IF)=&aAis^Y8{gef)3Jh=1UDgNI0#Lk
zX;-quDMwxKHdgmY*4QOlu6y60vwa9kQitKls$_HV<IV|GF}h2q`MMs3kWkUuRDo^2
zuLp_6Mi<i0J<wnB9*+ype;3*Ogd7FTnYLD$$voQAtGvfidWdLwj5{D2?z}k0`{4IA
zTJrM%IFL!&HwDn72y!(tRj)@Cv5S+JSBY}1*kIvYzv0^l*oPfCy)v?vFQUt!0^5&M
zoosZ)r|k!r<~V0!1TF&1gtW^n=7(Wf7gX!SfvY4=KFR7?V~8Ga_cYkM`+g!m1z^oW
zr#)0q9mm1o+wY|tj8@#23VL4*<uo_+*N9OHW#UL5ybz3t(aLfFAtJf|R@93vt<VbG
z44hm~Xh-t!JdQDp_Kkou_JRX~0U&;bWdhyB%!3=1RZLnrR=vGKl#+y*+kJCB>Y{m<
zYUtHDn8T)COmWSi9E11t6E*YFS@?GQ)N_0e&<ntu5rQFZEcT`|&a45<yx;i@ladIs
zBRo!+_)5vGC~=)RzP3FN=^O`MgdiG)VMtDuiTOfFb7=-E&voWZe_V)mI=jPbwB(lx
z?@cHwpiXAi6HOX7_#M=BFSYa1%))<QSwv#{ct|8~&ik^ZhF-RQ&yj13IpvO!Jw}r$
zY6O{b3<IUJO?o~ftvxt)gFK?}@gAJQwmoGO_U+p@_<voNUnx+~-B~6fKWb<W9C#5J
zDAw{)RDwJTGfWM!8ANqQuF5JVDlkxTQ!;31XBjKuQ+AIJYn2){tiBI7U#-^Jj0sXN
za>{y2ZZiVo)q`7ZL^{llcai*93Vl8(UTWc76?UFZ=D~AvQc&71GfJEv?I{w_>&->}
zl}S4EAF=@?oY1DbQ1GySaeT)eCEw*Vp0ce$m0SI`+^2iuT8>w5@X4#gIV8>=*H@AU
zD=1djLA`?yp&-=_zo4VqBTm$7FVL;zty@HD0f+^MDl*41uu*a1F1OG7qz&KqXV0EN
zNx*VmYx}q(Zu_|z5|7idO*1{VZCYvS`)Dp%LO=gA-BEse_*luY1eLT%)1S?$KY-o&
ztp<FKW{_LwH0iVgARBf%+~vET5)Nuk-1MxlHqNMjqYcMrq26SrIe2Uo>eka*eDU1F
zFY)53no>A5tltmaN3lnP0|R5D#64m!k-UxWt%aRngCIu9vQ-=#)pg<sGtN+U=!~KZ
zK6(DURY~2$f5bu!Rh;=pg89!7c}JTOq;&r2*y+fbx3MC#usm1l+&5#bDY|T$Zb7Jj
z>q`%E(7Ihvtqlx9+i8>`;@ee=3@8Fx+yA+e0S8whg6djGSTntNbf(A7QzXB9f21V`
zH74Fd{;~(42%ZY^!Y`x3|NNUlWE^a-n*I{Cv9Uq^()BR){rmT~7UD%}5m!nh^`-`(
z_im$O4hNtx08u7fK`I6Es&o0J@!GBLJ8(WOcL&=x`^;+_aCVWWEdbBGYW-aMEZP9x
z>l7X~#E%p<qU`fXagVH?kxImm$E@~1JZb6K3kx6r>9*LSVw-(qo7SuiC>@b4M}lVi
zz11sw9=+W`^6MMj=FDTb;n>so!V$e2EWF4u;d{6=v~;%ZdLg3+^}dl(3SLR9w*A}*
zcsnY>rkEh7%54z1ll&+$a9Z}=wxkr9A)_ctlT8P_AEfkE#EQzSX2l7DiDTl8tdqEV
zVMokKNT^A$?Hbjl0Em`hW#m88{}m&u!HMHU?gJGEHuhLnDsA(a9+}ApQXGGm!rvFe
zm#>Io+-;pVBAhAy7Q1#E!^V|F5^_P3(mfHyM8p==jZwu9gDk93t$LVJc=;FlVXyOa
z5lE#46q)mRI4FPwxDhI_WUYIe*{F6n$~`r(-V|FFlLUa%Z79sZ#xTLv6Zy%|_Kd{i
zk;y`973febO44ZJR~Ge2uH*(rMy7iGLC1ZDPJx(czM*ydT{uPgQ(pnUY$wNIxrEro
za_|GqLzB_o<(l%j?9tJ}@C!y(on|=@9%Kq0ju=Lur7QuV=X6<-zoGuJU-j2EvXgi#
zl~4D|aK$D(xf~_y2pMW`sR24dJ>2Z4+hTs7VG=P8?wD=bZiTZlm~^ahXmam)>P)zK
zcuEkNh5kg`ZveLZbAbx12;qX7Y>Sh?p&k*vsvx%1Tq3rM7&s16*})>oGTXu_7swBj
z0FpNU&H}2r$_Vr5*T4{boywsfbEr@ViafklSxL#fiS%lYf{An>Vj!E9Naravh;&GZ
z5#SL0`f$?**V|kZ*WE6X1{5UB0)}hG*rA!1Z%Sl@u;32yg5Je7L&reGN=4Q35T32@
zk@Tno$ro?n4dSRoki2H>yl+z!8lO4H!e|{h7H$mDUf$}O*VWb*5p76)2#G)9+&ZE2
zwT|+ccP%%-x}W&;9f6S5Ka&L*!WjF!7Co8;=@JqW<J?A23NiB=k53RYJtAVGcWYCH
zP7oslEjkw$ZyWbYDwtIdHU}cq0|Re_oRyyrg4q%>9jG6SByeGe_2ma~&47!O@6)rV
zz|6*V+4Cha*gIk3<0N+pdhfkjXT*gc<(iOud5Ub+=z$?*5G-)q?yh+qs$Cdozd&{`
zp=g;R9b!J-Q;E9){tF_4x%VnOd<`)`?K`{!+em)h+l743T`>iPM*Qh;O;`pL6C@R0
zbQ1>>pup{0o{g~Y$-`3B=nxMWfR3!?#>Wh3(ct|cE+|z_bdS6=k!8F0jc`U0;2yg+
z4!%iXKSZ_xI~4I<#G%F4CaK5aMxptzs-z-n-2?_{+MN&i=DoV|Gz4GZSz~yEGrz9#
zcy(gCnLc)m!?`|102IV6SHR?OP$LN$4g>|&Fm2H8p>(2$Jix;ptk*EX<)0KFrEXat
zeU$@;f-Sjb5FZi30TCxh>|#ox1*$=Ma)E_^1aZC)A_V%vrRe1{s1@*(qtCbkxY@KQ
zskp*0k86^{QD^ZT#L`@MaVfN`eD3exmf9hehzJpp3;L)9-TbDr)lr<^S1nTv(N9Dx
z#K%Rvh*%^*%KH9%Hl?IYj5VyQMRz{0p}BUqH+oYM@-<@K`?xaJjN3fWdZ6sOqgjM#
z*|ih(Hy2U@gLps9rFy{|PEJm^FGN}vqzo;#c>ad~#C7`~M*|-`ST8pqK{2rr`#h6P
z&L}4?SGCBA*KZ4Zkof?Pp5NVZ55+E$c>&vIdTSt-eE=x%Vw5aU$A5c#3YY@`Cni}i
zr;c_(6ZRxh9@sr##Hi>PutwCQ1^N~a;n^_ektC_46+6uSZmbo?_HGHcC{~MCi~z#H
z&NWhkjEyZ@Tj<omw1rc~X6@;5KicN-*oZg$w(xP3Fh-Q5;9b%^cuPVe`ZygYeWboK
zC?&|f&D2oTgcB*vvWSo{fsLdRJv}`Y%!$X%7~FZd`_~s>#JyfeR!>2~hvrMVPiiRY
zKMf&7o3Jl{JDqUUX-v>jk7CjkChi)Js6(b11N6xUh$dpeQq$LBulv2?)N#Y0!S=kt
z5=VL!&GKbP2;{fydwvghlX#>{V}xT5YIUTL{5m}dK#3u}3AP!e0DpWH%Ii~3O0L{e
z3}lZPeN1?G*SIapQhNIO&v9}Irp?y$)<%g(Eig@x0`_S;as{PHkhB-Z+v?W!AmQOT
z06Lk5@(=jBE+#3bbQC$;fA`D!CJZB!R^ES17@wJh*%2)-4<phLD=U>qG_5d$$UVL9
zPDXn^B;NYE%BmK^3<|6lFRB<A;zVN$k(~)<YXgY3?#C`FFDqk-tJz@%MKvupCT6HE
zsu!kL$;PAw%m6^MpP++@g8zAt&&+|zgP}n|ih!axNXEj(R?Wq8faGH-sU<xT^n(4{
z6ooy7OglQOufIR!*}5M;_W#so3P7gVOTqVG1pp&3jS)KjYV18mtR(T}cHqd7xFD=%
zH_qIiluFUDJg|M+DG&08FV0AeJzEITw0aWO;EEs(Q0!gukK6wKCA2g0TOK+Y`nNop
zP)JjKHW;@~eO}b)x8VT+a`>p&uVv-sj7&`MG)vqd?1&(uf=48ka2_CuME7Tji$t(f
ziz^k4<zlx@AYZjfj^lq`{EF(MV-C~OIG+U@^0MRHyOn+jw-{N)_+4NO<~UZAEKck;
z<sA2T`4%&Wm=GvyLS|_+|NFE=JeFoR$AxXhcqh_b`z+hJIXS2C6gr&Wc%zVno=F&K
zjZa|5yoDC7&MAS1L6~>*BgurI4Dc8B;tKW=9=!7*h#%)3kj6N``S%GP#3hmqh#vZd
zT{+j|Je_B{GAy#Sg2^E#g`%8-VSre&tw=TQZ-Qb!Bwi7?C7zx;tRF#JA@m~rDskkm
zi<10`8sV!!_h!KqLP!04lOyk4rpAu{EQ8$GmqWj3SD*oHB1<<uh$G18+$lE-WW%@_
zV8*f7VzfgJY?Eol>9GdjL99fB8VMOSqK(NrmjR4gaOeu6J3-)#E)q{g#h2x0hELXg
znCu(17H+W&GuXq!*vKqn2hbSesgY>s2<brYhr-}xEJ+;O!W9q(4Dsp>4d@ZrPi64v
zdO-WW&`d)J1p;V=rvmsr^127}r~qO(z>d~WHIS9~LyLF>pf*czNXSJH3Y0yOsYk28
zi8uJ7d^yBJG9gi`XPXjMDYWu7ASFOsB5VeW!;5Vv^*;PXc_}=xW5o2&Zpu^VCXfEN
zeHfHa#y$hF2f{QG&GA7BD0TFJIV1#`WJbI&#T`uuB}3xbu>-#*aR}oHP(mMEJ<z-%
zunT1DT0DyIAqDVsCSZ$3PU28GDi5)}O>hB#NE;|dRt%K{0k!KigRywQy*YnhTr&_7
z)@l=Ga=6J7(Sdu5G4zNzhEUBYf~Jqhciz2*P6aGRuu@=KVf-O~p3r~pLv(Xq?v7=c
zcH2mIO?2hm9+apiAA0Z*z7rZ9OB^^OH?ApW$_=@Ephz@$`K@-WG$iI`TrUp~Au~e`
z>PBxu;Gk3+vwjq(m1UfW1;s#%d;cB*Xk#!59L<Ag=!{JViEthWFHEoW7SPdDZvS(n
zN%7beduY^LT(j8u1Q_4$0{qgVqVpFRu_ytA0_JByZ$VK*T-zejW?;M%|9JudGFyc6
zBhPvKKOc<bijSt|_H_&QwN4^W9*6$PkGM2=kdpv(7FTrl)S%Zm1B1H_r}O|V?PM{L
zxJimz!qIV@qa_gAPzS07&Cqz~wijVxmx&X>MLM=EO2m_=fG7+nk+c@TaY(EmK7sIj
z4G%hmL0thpH)cO-p%~I57}L8ZIN+>t(1Y;uC(U#3;=vI5W9i^!1U@60Hzp$9JRf>>
z`wvQ&YrV!BX;b=x)ghG2w=Gyc@VZ}ckJqE!bMWKM(rtr$Bie_hPG<g2Jljcy?fdZ-
zaF34}BI1yL$>J!S=!5v);CU?H_&yeRYMl&HfW>Jj2FEHfhaSf<%*9Ge^pYqr$l0Fr
z=^7YFV2qoe#JyE{#|J%5JHYG``i@t}F6XO18KAEd8eg+FqP8J?IHg)%L;+-=_m=o)
zaSlB<H+Nx2^p(*Ai*VmV>`qGg0PG7dHs6*?1X=)}xOiA)2BJj~{7ejWn3!vr+l1tU
zwBmF});Qvv{N|cJmx%N|lz?CbJdgsgmcYNHd_F!thG3OwH??#IsA#mnI7O_x@(0xe
z0mlkas6>nn?;Nav&VWZ0WUgrAIOQB#$!)1YJm!Gu?{hiu{zIdnJ|#FzC$ip0DV2z%
zmMbW}Qj#K<Ki%=;?YPCjc(`AGu!RUh*7V+QZF2itIlLLV;lOi&DMLUTgrkg&$NVn#
zKyOe@R3MVBEwF+a7zWEvT9^V*;}-x~QMIk$!T>Vej>8f7pt84aO~SE(B1Ob74;|ux
z{DYT0OHbeTO2b?db%PLaee`D_LA<vDhAYNiE6zsX7$!P_ingO3o=yShkRY`<VfNar
z-auMPDuxf?3!Li0V<U!|z45Nf$;xH`8XRT`IwhM><WALl1MP&G`S|<e0JGhdlf(gU
zl~kH~Zx|5s!g43^<kMd8gbWHy>-@o28aN@FKmj_4wmSz(N7H#8P$Po^*@!=`IA|JY
z(16B?osWeb=W9+<y4kzi_$$0i+mj>0Hki%`$LCYPz^*qth6o5+AfOH8u-!<aM3te@
z5hm)JH!fc(F5;m_r=uyrQ}DUBWnJxkjJ4dE*#|JF*J%l0Eq@Z=O$GeOgHJB%LMQ$@
zh{f@GZ{(yKGotw*>zt3KKwCS(b?+K7zKIlImkZ}=_%4`rEC9)IcLw0e4E5f`Ffh2A
z^Dt8U%1JEkz3e`fl2s+VYy!o$rO&31+>UNDJHJMn)z?<CnbqzMmfN{>bxE?@8(|NW
zMEtvVipk2iM4p0Syf(`PmnDrX!!YfI{NCK$jAk-+`+HegSe<CjRr`M8Kl$)fgpQ5R
zred&q(Et}*1BffJLP#vfxTPwNV#u|gxE*brv|04LyuoH)ahoDTLyy((axINEGX#A>
zZ^FkgYCIcFv1iZ!!QOv|Qyu^D!?>9wlv!D+$d<h+k`RfkvbP*$bnHz+WbawoWSs2G
z>|Kg;Y=w+tWXtG&o<5(?_r8DE_51sG{r<SSy1G)vIq&!D{dzs0kM$(o;el5=6gUo!
zgiFIOAzu-;7K}YE9Sg1<;du588HyZWoFh0z&8t~qy}*M2<}8t_99ZM<ALbL;l*#Y{
zre2IKx7C3BrhH-;-VC77qgYB<>2>g)3d#S-0<^L;k(ru04vzxt?Mv3J)uzB=;19JS
zK12OSI6jOESNYH|hzM%B0PBT8EGjJQOU;xE1K>B;YgjosdmI#=JuC91vtoc%^Z^QL
zc$`vk@6`>V054=}BHNna8_SY@vV8%BluW$@GHBAdj~Cy*c5mEnK=fOgaWgbLd#LQO
zlyQ^29w@Ff{7fcp*$ig`5Cj5#xHmHZAbQ$-XEB??t%EZkO(8`KR<4Sg8gvkrP|Mr)
zK7#EWl4!PNf!=FJD8OR_Wi)uQ3&~-tsN4Cfs$i=C921}#*43<V*8E#5!|)JKy*xN@
zPZIslOM-Nthfv4#i^A^nIhP!yJn+>58wwEO^z7L)SUzwG*=qtiNgBxEiA<V&3E1%0
z%<IOV?rI!whYSGZ37JaoPQHR`s1QVj9PNa-y8+KSY*}h88?Yfm5B&FgnXd@EJviOb
zQbzE7z(o<JxdL5HT*DrYVu9b<Dvhvd0j!YKcn5ZHa3a9j8?WiuxQjb3REnXpQCj>1
zAP?$t2UK-dOwrB2F|<j~LjX-|eEj?Pm6_(|4=w*GvLRKjy_SRMpP~dXW^vD*0?lX8
z{{pwTw@?nAGU$qZ;CKce$aN2^?-gYCq0S0-Qc;w{Nd?d2Dx*6fAY=v1#+Tr#!Wj)(
z(LBv(@Zdv9XeoB|ndLOw@ccUDVSt1?%=ad~tf1f)bQ@3ulA{Hn_Kj8Llkh%x4i5(O
zzU&`w@bTf!Y*^;_%%}f7w(-K#$mGtP!aoB5HuBXAN_x<i@*zG!GwI*InF_)h&?~Xd
zcER}qH4CU;W&xyuRc{D)9tTzd2n2w|3OUFZ(6C#<84BKsRb!|db93F+<gxCgAd&s{
z)eCkFvbgC4O{jCelZ{h2jzB;3)KgalC-8z5uTls{d7t)gVR!+~wxa)gbu4u)#0Ov<
z>%BzJ!txhtI5>+Qq2Zz21%$uyM2fqGnwINv?MhMchx!$+lV1Q?gQ5|GdnDog!y$mn
z6r!~qbFS1Zf|s<e3u_^Vz90R9;fWUjjmV(3K<xtUs3pm{|NTUjSTX~D7BPp+mHi+8
z(*jIFDo?y72zUSnqXY%3>g;=Hxo~C|;CG=9ERKHyR|8IXAZJxv80ZyhB7Yi%*yjl$
zCg8+h4S^>L>eN5q&;Rd-$U3u<ZI(6ejpK67wg9EX#5?1^W|GoToyrjceCQ^uP1xt5
zzXU-8+2-R~2aqkUhZa40_tGfZXUx_fp74lokDqA+p$9-j%-(;-3P1q8;N3(dVR!_*
z)=8+;JrCiMS!tEgbHn?lSx}eV1U(84*3(>pZx7|GoAhG<5I+9;3#2b`k00D5&j9&#
zrb6Rp-v<v~Yp%eZsi*nRgaSb7Dmz0sTW~RXprZmIfl49VaOh(Fcn?MA7Z%`7KIM-K
zlj7pSr3rZIkG*hXm6S}KBtbKJ{c-(>>%bMCJ#%#xzB~;gZ_W2U|1Ib7;?L7(<N1MB
z5@_R7;M-LSp;sHol#vqr`l~Np$U4fvL5*`4Iy0cabO9weT-Z5+Li1@OuDm{l0w>Cv
zQPAR*kvo9e!1_8k-h%EPbX@wJ+JGy-Vv%4@yad&XQ8E-OI4iBAH|P%EGPC^mc0lQB
zL*NaPEMUxV!I(HcYZ0Q^Fm1N1TW|c1-vQbJ%?%_Tr~)BCFq$dhVg<YeoCqU+)wnc4
zlQDpC;OV``3HuhV+JPGSB+G{sy5|(Y^bT=!9S)q!{RWWhhlcffJf%N?9Q}pw`MnQU
zl0ubW@QoWD`7wYw^W(wSwldYQ4`dniPxR#ju;G9?YYbWyfb2dNbp3CCxp3`bbvoVX
zC)l	e?SAjT4}%l%G*GQ^*MrLotehZ2knm*<EKy*8{e9Wvq+^Y+5NPbx=CsunVaD
zJ#iidz`@mN$3@`bgEtT-n#`RG=gbHg$l!}1yU+p9ZAbuyLiI8j5#WFN8=?Hd;oxr!
zpaO$SocsPg(D9zocUTBDFQ(ezx&^#9L7+~By5b=x^rQ^{snZ}I!Q-O(@ZnfJW$t4r
zSn5Ga2W1#+E})SA3r`oW6Y2a5TjMk^Yf=0EZC~;H`3-FJmtdEb?*k1tY&fS&wdPQ$
zP7OK34hnZu%Q{&OE<O|r=z$NlKf>X8gIjZLb|2udQmCn+p8~nEt_obksI8%k(9_~K
ze{`Jjg%=DO<w-c-0Brz2PozINv<<+hSPcCp09FmOyC9>+f`Jz*jB2>GAlmgp!8f&i
z@xO=JKNg1!sJ;Y1VCW6x>cKvMD}CX8|An=Q19iZr7IKaj;vwM{jKh@x)Dh^ly7Jg%
z_@pc#jbKskLQQKEcLeo3q)UKCSQ13-P%h#shv{OtjJPlz(0l=!TLYIHurJsN1!QHL
zK#Kqi(WNl%rWO>kkjRgV%ZHl-4I13EZ6M77xrW|4Gd><V$Oc%YdC(bDJLA)^u&f;)
z9@L>c4@dt#r71_2u3+8Mk>R>Rbr+m4q(et^0Z;bh+x5k-X&Is(#p9uB+7pn}ZJF^3
z6}eNvWZ{ujf%D!KrYr%WKZ6OXTBZ3<^d|H#HkvdH*&2V1ou(Z<tv$3dwciMi_;a*+
zgeo`PxaDPZsNday<=D?_9R2)m|GC1F_+ryuD}V{TN&NhbU9wdk7wSwq#v(BhT%(=k
zZ?>+@tsI1^G?3Es)2HI$AQiYgi7jEEdBWw5ee>SHhfp)<$)gm<b3tMWr7&bU1t0Oj
z`N*r8eHSuYjRCa1R&|bsC3G;eN8IZk|F5+vrt-aDXWG*3$FoiAcMUwhZ8xpYYx8x?
zzhdLk?Z(QvJbF0n!+Pr8@ztS?xZ^ZgOK~d1hln|f`rNlO+n;vKt5!Z_bu=oWydBV(
zj33K`XYGW92uIcp9v__YAkb3%nYzAoTYOz_Q)Fl7zIfHLx-z;L@67@>+~$PUN+XG3
z(D9y1ZY(gfKYzr5&*8xL@y35fp}=}-AtwFrkQeyi>iPc;dciHUVEliXv$((F`QO6(
zm%01zg9~T=8_A0Ms15JG(_`T8w=exKniW1cOZeX@GPut&#ruDM2<|%kznAOZRe(SK
zf3&(Tf{!eB>dgOsDjpF&Fn|C3_5W9^J)V0FUgeF!V=vF?u<M?OeM-MpLfB=fu)H;V
z<Li~9!PORH<7px8xA(-i@E7)KH?EDC{3d8D_qKj%bl>m9^vP4X#z-Uds0Yo-rIWFS
zUHPv-&4&yO$vw1VklBCI!ikg?@0aDDIL#<)&ZU<WDN&cx{A|&07+a(}OonQj`sLoz
z@QmsFf#rCPDmG}OiaVF??_#09;meOjs(r4{>a$#h5;Pm=%Z_pj5BG<quZwgdf~GEY
z$cQv(hpgGnuqC!i{X)y7p0ql=K0nd=_D@trjRgyfmt_6+R@JamzYm7&#<Y$2utT+X
zT%mx~kXTkz=cmwb%qTMZL2-uiM4uh2Bkt<8JbHAd!c)zCp&1=XCe`uftX=s<G2`Jk
zt}c4$P<fxUsL#yp-XN1oFQG?MSjp12{pK~Hyzi#mB)MIU$_Rcbeq|KRH}5V<hinmW
zWSSsH6qs81nHaNq-4J%`Ikbs2GAUDRTI&d(qGdQ;6n$dn=higodxJ}`ZJ~Q>cz#a7
z3K{G2Mx8>>&ewlw;tv0-x<r#1VmLtzUm3276QGjaY;`>y8*fu~+&%68QhfJwwxr*u
zYXyG216DIm^~c@pkV163=R!<UlJ2-Y9v)3E!z$7`T_Qip>p`QO$=V|E(>23bPqB)z
zN;ygSqk08vfqhHAk7K7Rbx)VNhFHA27R0d$^(dQmGS9i`@uOXNos-dzqQ8QyciLVD
zx9(h*iEw#%s>;uU@ohJnD7Pj#a+Ugv8b6Jx79Nt<_$*uZhwqQm(Gkn<F>1l<<D(;F
zTFn@4M~`27VmkyA2ufGA0%$~z^xNEPIi4YRuDdM}uRIQ4<?RvSLX!w=h*kxlV~ws(
zkF3kFa9$8++PDPwIOn;McDK)SZ_SS>b-CW5g-4vB%mvDqhLaK(_T_!Wmf6!NU){sI
z66NXe)V$2HEabyCZ*Nx?wDp~&=Cw=$(om$x!K=R$jJ_wX?dYQwkQ#(N&#W@@Ms
zbd5W?;!z;Okae79WODTWaPA#B)=lMd62gdcieqo;eS@LzzGvg}#nr#VPdtdS8O(f9
zOZXnOpM#I$wr-hdqRI><BYlM%;(Tr&@uhV03YT@rGRe?bO4Ga0yd7dI73m_mg0~!!
zyZ>b}Y3&Af;-;H(eWC{Q2M@X{%IH>OW@b!9%$`X8WzILpcld`R@?IB<l8`eXZ@dr6
zZxl5~)6;On>BlirPVk9@RhmXGCYe3HM11@ptJ%h04c}a;LA?#%Qkvtsg-Af%Xr@T&
z7M|MRTL(rZxl|WBhI;SR^<)-x9p|gZvB3%f+7{&_#7ef&eBl`psBR_EHwq}~)W<2?
z%^K@BnL^nYdXr~Ra=n_2r6M=0uuYXOyB~G5guASdr)Wg8uyDT!etX{8???5pP1Bpa
zWHn*AlXphh6jsyd_KvvV?XQWh7cB4dSKqsCbEJ>fmx_FGBR}OWXQY*Ie1&{e7=N#b
zi%ss!9s=ozP>24aJIe|!zF!bN_!IYCN=w4oCbiY0h!PGh=d^V0^lI#1Cr@&2;?VKj
z$$o9~5n0#BZ&+CpFCan?JXt31ZCYq5Ow;`{=m%EpPL(gw#LZ>@JrZFX)Ut2q`9JSI
zk#Wevd9RW8+a%zo1?i{{y-T2K90TTnKVl!@HLsN>M5yn-pUqVMw9iN|LPk}m(>q=^
zlKo@iyf<xslv3>wgM5m8-&b8smtm8cqHAgw+A;myS|<AIJFdGEY;q#0AL=&b$K>;c
ztP7%q4Bhl>Cm-Flma1!Lv6>jxJM5JW5%i3*b$grkppv}!q3h%ODZ>XX&wBMn*j}i+
z@UA(i&)Act9cj!a<yI6BX>Ve-GHu(~n27AgEE}RH%jPfMULPtcYWsY$bL&dz+gX>c
z3gZe2k!sQ>oV!__%?IXb%;bA)$zqA~$Sc1F3JIo=+b5NZ2Kx+sdn6Mc<up~B2uIWJ
zuc8cNcHOcY$nl$K0`Mqrr*zWH{+(D(%FeS})#2<BEni<{^S-UmBStCD@<@NoWUHqs
z&NINFL?Ym7f0^I_D<UIA(vKoXVBjM5#_j5faxFF`@_KCh(~|C}z+B>0qdD0H=X6HY
zh>k~Zp9+6vNUwn%L%7=IHziTRh2&SFSXG^{4=M_nFPD_?smikc37F`7rqy?^nt#;k
z+bBDS0&{c+o(ug1_4m87QIjEhV@~yn7iMG+=U)E6Tnz6VcGIdRWq58X^&*tMy28+-
zJ~8(90x7Y+oa)-mj)1LiAy`(nr2!s%T8Sh4bC1NH3H>SRoKAC>1@Kz!!Gp&tmhj8M
z0(v_oP7$D!{EmOJfGZqC$M11oH`g&kH*o8+gNy(WD9|EDMMmxxUp6Izs<2nMggCRx
zQR+(L!gD8NYTIe|cvQD}x&@&Q6-90c!Y=5gR}WfXbFr!94PHh_<id4@XkM+9S_bz%
zc?)-rS~9O31I~sr#GBkuyTJ+U&vJp3%DxJopTsZ5KZaQEFA;WmUE1-_=@-N(=P(*`
zHB(fR1e{wu9jI=VjgV-n!0&fHN2oM&c{E-9l)}oLqE$5QJ61f8b<=KVQ)XL{qkIbO
z-F#pAx?O45NmN=J^XkM#fkKSTcg$HAN-7$!+g&#YS7eW=>`3=%&NvfXM3%6lC)ULS
zJ<ehUNfpmpyF{VS;8_}oNQIBn5z|qM>6{w;;b@@-fky)<5&RD3NKUN5X5^3O2T&}4
zXfV&?CO^L;pq_xB0nuIlI5*_%zl&t-3N1t88or!o_x)eGR#KD{D^ayK=ebwLv!jIv
zSD4V{dV#ycc@ohn8ll;wZwuL<e|+1w-o(7<S8|<iwcU<^k0xp4Rpeg2SGVVd<ZCHD
zq^y5DJg>$N`?O7l@I_aRR+7He3qm#OI8=x6+~}4`q~OSx(oEm%w=&x{@j%i$V|g)F
zBWZSR&v@64dbnKC4%np#=5M7fzWQiavy#P_dqSfWJyhXDOZe5Ry<C*dt|Zm3t()qc
z&zwW*#TkFD%nnbOxNXO29eIu}(rk}A&_@%Ar7S+MO1N0!?pQ`%^aj;MvR{(2Rcg-S
zV|&P1-if4S(bDPAC{f0qqn?Fe5s12tPftGvw@-#>CdAo6OtPrky1`7^qrHERn^oWE
zeT%h;cS)+^ZcGv8@eQFn2mJlVgVPJAIlLi+y}a=Z=JFKNHyVjVUSYZgJ|Oy062$w_
zoywh}PDBIyb`RYw-bh(aQcq+VJJEMAYtX&Hj8uGRTaV-ND3!4kur4SW3Mut7wXQFj
zsP?f~NLT5d%9;%N{;jOUIe1NiWv4r;?)*Z-jeSY2&FZ)(-0El(sk)NT*a?&BnV@Sg
z6S%SI_KRqn>gsaQq)R2IuU_2W>)1!j#GREYiFvEVr=e-ZgzXEY3OHND7gO=VCC_ZI
z;+j86g=qV2<{47U5{g{8_+(;VKtXXPe_(9@b+zpSr5c!FKnvjGHtD3qO41Ph?^4`T
zH~U5L^!-2-)xL>|wak;L3QLAP|C0WpyxKU^gtIqVMwaIb@H>1^`VAjbsQP8I8FiI8
zDdRPpr?yLtOiHf_uG8U3eODWfw_?WXMs*KRbntAL{uyNFqU`9INw<ux?v6LIxctze
z)Oh)1!NRa|guPg_a#tUrcxI0$s$-7E&9H=bOs1VZ-r+%cW7GiC(o(16j|MUy4$T6u
zbIM*x*~-=46^?z^@ft>D+-o0%b+J3QAx*t3Kl%6`Dpc5tV_peKoasGXCn9f+i@Wki
zox?FpVxe3HGP_SvE|)}|hktkQU&e>T4akH(1QlN6LSo>u9XJC4eg%=}E$Gx|CN9uH
zo0|RLbNw*Ny<9r<M<BBbqilrnDKT>_8nfT}Ix)U@M&jP}Gy(=M7YlmNuF9vD13a^@
zjJ0Rx341$*B?LsCRt?@oW|y;M8Jv03NQVi^E+-EU_hNFtjCqmH>$RBF@zvLR(aUs|
z0$olcdN)OTv*Pq~2_@Mh@A1o&*Zr}A_GS^9cN&aIgJ&A-&g=W6GY!u-P{wn;-%;S8
z(Y~VFp+P*nek1Q|9cGJvhkzkh(b;QwiBO7tMn*4)X`9sZ&g4jHr8bwe@Pkg7F;3I`
z&RZ``dG_F3v$n9ViM==rvfd3~)?qsxOcmh<AL~Eu1Eh8USq(u}GLR&;FB(kzuZ}t9
z+|@l2JH4hYE9O;e6kV*`mpnL!d~^XR_{^#p8N5}W*4?v>F+}??)x?VlRWR*hF1bs%
z&`KG;8_;9HcZ>8l$8$*;IKy-OVe6E=Y*Ri@Y(#MddEC2pjQ&N_!2(3<n~ZOjrrUxD
zZGwi7^<*{PA}@K4qttTcKJ4(N4v#-XK6VykHxI?5Q1&{lT`Ek$B;*+wi5{VAG#J69
z;`uv+Jf>KZ_9vW{t=fENobX##WY3D$htqzs52V<Lk`>3|tL?MM4`MpalI;0Y9I&T_
zu~mm9U0NLHj3wPIz9wW+YF;WKI{~Z)Y<e!RmjZqXv^Qk<<9q<Xo8%?_;#dDypa}48
zR_7#_b}f2kO6<Q~iaM%iIA$vQCgUU%;d2}FLd}UYLjR3{TN06n&PA1?ISmtXPv(*)
zXRRrhvpokNx}QIMr~R#ccd<WKgt(7yBuan+u`FonMT?N-l|s`aA9%U#hubyX6#4kM
zR88>==Q8^FnZOK2loOVxl1zr-h?m<ne5jUd#(s}jfVK%qOSK<t?aL~qA@2KSGRQ`y
zGo-1&tTfD+cjv<3tZE>h&K&oun!GDdWg1hjk_PRMaK&i#f!F-eO6E_=t*bSnzB+g9
z6?4t;?0{#s1*jrWFZnGb=z_vVS9Jq;j|{n)zXqO`EP&C(+dd%kCQb6Yi7xk;=q{=4
zx$rb+O2#6iLqM<P!@3drO{HQ8`Ol9F+#}`#AL<4=Yb!}7PPXn=xtXd_-zh#gt3)x*
zoT@NP)MogRB9|vRj9=@Xgsz+yoyW_rXZO%7`uS?366yBIw>7q-Hr~E6S3y>jGoMd$
z*1sbvCS_Mt>E);a$~rSnYh~e>xSEP{OxJAAOU$(vEFByipIeRgIa25u?^xtEr4_&~
zna+e}pJQtKo#8xYTiH5anHgU?XyV5%{b~13D9zC*@kuIrO+Z9#9@FZZr|)?E>5*+c
zTjhp$YZLYxv-6>o+sbclBZc)i#53(W(eO$6`U-)d(@V}10ZRWCfGM#%<-&}GUPYow
z=}d_*-_cn#iRloPS&mdS#+ku}>NZtLU80B+I*!$4TxGv~is?4ptk2E(eo5x9His0e
zsNQ=q!DiHZ+*c=Mvn4EVT$ERT(%BozUTt1|q!3f~tzxrktH&O#@J04eyktkQoGnkU
z(Siem)yug0f>7w>rWc*Qdm{HVN|{ct^-XynK9_aJ1-qUkucnRPze1{RW^4Phj%_{f
z62R-aE85W@rGch;;pFaxDO|k2q#Z&OH<5Z}^pWwXY=i309FEHhm+7RjtERJ-3W<7C
zBx#sIX65kD1eA>bsXzPW9UtCRIpfCpm=5JLCUp?Pl+`o+Y=k=Cu50SE<c8?E3|;}n
z5t{8z$t#VR$tO*rO-Gt>_nhLWT-Fuk$)0v`$EUnCrn)+p^!dgdYe2czSNA%Z5=1B0
zMGMBrIA@0AHp9VqpD!5OVwo?LPn_jPeb9Rzqh$UfuPQz~jPi*kFLdABTlNg7j0$;W
z9M)?&pV^t(?o-G<JAH;Scq_1+bY8x7fB2GHKi}O<rJX6^ismWj1T9(~TaF0xyRVP#
zct0BHBar4UM)?LJre#Ho<<t;YTat+X-Nc@$!_r>KcS&o`O_etgR!(tK8w$!wLv5pS
zZs*Th6Vgn*qm!{{tC`9i@WJ>Cf89qZ`yi&O!_uo$JLr45e9YE->)(2cqXIk-7ul-|
zv9B?{&z!aGb(Sm@1p_~gXtP#+D0$$7U|sD|CQA6O@Tj5Oed$G%Lp^i0lA|oyArF>3
zCN8l;oe^2xoQ=t`cRVY!8ep)bPEq7WlZ!@yi-={I{>~ni?x5xTS+^{D%8>K(UQ2h*
zS;~B5vO}eWsC)Mq%=)%y5L7<EPGJV5gI|>I_M__)s()Qc!z7g^d|nhZkqXP$x;Hvn
z!Qa4GIhZ%M6YXfsM`>~G>Ffg0Y4C<J7R1iLpuZ2A0Q2P@WZk)ocLOdBtZf67*pO5K
zp4(*>P&hRLl>{0mFrVTmN&$gKoZkVY2kv8aq!9$Uz-w-AXokboJlG*7&1db!4zdY8
zW#nf}y^aj9Zl)F<ov1&vfXEUv<!<Z~*ksl`!3c?p5~eV+vgdOqlBHGHo4D~`Ch=-6
z|5<b5Ovj<ao#j*GBbJ#wBGM)-Ac171w9V2#uFSzuH2TVLDqXzBfm9Kqt23!2<#wd6
zy6T}ps?k(Il*W-`Ve*a=TM-qh9?K>skt$|W8@J)hf~4o782YPm)lS+jyk_Kffyw98
zjs0k~wLAM-gDR`6FC!9GWNuVkpHC%2uHSoc%Gg<<m*GX=S62}HuA1BCvc%KoWv}zz
z;AjTk7*fgQCAxvGxdIL`&^myMG8V5HE*9u&xN<XL)(J4ltDoF(#68eLwrQKVtV_$(
zP3N2%+QvKE-@mjPCm&`QaU2@>I8#Y=aYi)s2^V*7vhj>4pdzYVKS^KwJ#|U3yP87B
zkxIB(a;^byC{LjVbv{*xX{Jx*Xq{+vj%VvhSJV5~y2{8c>r$7f!>lP-M&hI8(IPL`
z`5V%Iy&jD!jaRWdan5&Zm$||bU+;>jtu>c)+jh{>lo=0+JkNExF!N9BVd0BUiLw04
zzwS^Qe#;3{dt;_^ul(IKTHITI!;$Nvd|l+a#94dqF|)pVXFD46n;M2m&TiIBd#(bP
zgNwp}cMk$6Z6LO9=K4V}6A1lb`W!A*PaV{-Fi)!JX$>ysA0*!Dq43FxoGo^s<2&7}
zX$J01<-+V*+#jz<Uwjbo3Py6aOo)<DepzOvOCehjXBM2exPEz=@h92*73>|m0;-al
zPiroHbnjne&4rlx?p!EX)?>NvH0@SN@~%O*{OFU~;DP;+&XiqF&x=_#Mih6SZy4fJ
z7-Q62lG018_%my7j@NII)!D4HP3B}n@h=T83;B*b$}$nsp(-IPDq)S)K7S|I(~Exl
zNw{P_<;sP5n^4zg%|O~&)q8_G(aLunlBG*}{t#5A|3wbf?3i=>NWXl^@9%J;XKTNN
zeDK!S9(?-61W7CT1VydAHS>%K+s$}FJ-uTt2Nn0{KV!eIVndS~DTP0#elca<*+sHb
z%!EvU6a=2Ucy3+we-trjxInC`%DD^rRgj$8^d}2|1q$dsP+c$!+YGD1hzCen@P(8!
zIFXqk;|fF`IAc?2CGi2oy6_m*3(Ly-LeKyxT{Km|Kyuul^0UfD<bPTKA(cX)(Qx!8
zsCzV2pq=KJeSd27&iG$_d;RIG&qMxS_&Oz)Bjra4snZwtee4rHVTT;Ak!{Yi*!YTD
zM*16D&LieVWHd%(9b?qjUTtt@%aaOk_E87W<`yuN8?9IFSXy7!=oAv!=A@~@FjF-j
ze&D}lS|v?%bgrA+oJna7&9W_Gq4uM)jPof`z?s|Cl{9J86ArAaF>`tu5%#=k1aXYF
z17!`4#1RD-$%?z9onCXr3MrKzh?G=Jz4_jJur7H0y6&ubC{0~zwmBC`GgL4x*DQ|S
zqOMr%X<tLTUq-zfFPh7~gH&wfh|`FDQ_lGWofIN_4{=_4LU}2<L-!tE3xOOMSa7N1
zptAs}8MvWf?9UTupF!ye{UMN!x}{Ix5*2_Tk2@DMB~3t{;&dt$9ZzP#m7N9iUqJ+@
zo+7BoSp|F@=#4;%<q7u-oJqc`r8Ve(tNPK0j|`x?7m<GKgK`rX8+SS=*~IcihQ^jn
ze{Mq9+60y^sFx>LiOII1htW@!#P*tnQr-{Wz~{p-W3O!GIIg`qc0_)>yt690&!sbw
zWNeveBd-&-XiAdoV?R<Xn7N#?)|ofT17k36@fFREO2~@H8XBKA_1Kdk+JtNp58ty=
z&^pQb_<oRG*6;pNK|*p)$2~E>8KE2hQ0>GtrsDE|D?^bnk?!^!7q=g41Sg@zLZ6is
zc|fGmuR#Cj@5n2~tqU$1jy$J3uQo|;N}fi{HhF)O`Qlyw8kPXgkA2IE@?l?0EKf6B
z!-*D|d#8z<13qT|kYP$6H<_07r2CaoW3hdaMmP<%O<$t+e0PjPZ}s><-s8tseyi~E
z(1ra*A-_54?+LqmBFFW&uWY3LWlBo(neL{>c2qF1|C~eFz2AOs-OCuv^gQuZP$$*;
z$n7M#`T}y^b07`$05c8570^Mx45$adIb-k_(uNMZyYJ(yJv4QAcNG=E4n-nk1;jEi
zt1&RRf%pJ)WE{CbQR9X};i9y~Z7<`jIF_jtNu8MkgWvn4N~%~#%~5Xq(IL|YM~q1>
zgTKXT2pu)ses2<UCY`S<$Ue{r{LR)!f3bo6xYESem8{9bpygTYxqh*Cue+6<GhK)9
z_#O2(2k0_%wQqg-cu+LjQ(ovfm}a=Z&;Mf{`PQV@5+NGsGQn4?nb55Ig<pSA*&)xN
zSF<_&gWW>lt^2VPw)CQ$U+6}tzsKHwATc6(t!MNJ_2`c$SNEO8@>>)WzpK3ZFoy6h
zY-sMhRv{OCSFO$ZC&R)|fm4En^Kn!6_!d(f%pacyHI3X~(`nk{=X%eqb=f+dH=Zic
z%e!Pc_+zNdUBbd;wjIGWqn+EC@<yMHPaQ3gtiQgQHGkwnf42N=fnZeS;&Rv&R*Ndx
zF=LtZ##q0~N1m^vyb_7{`N7R(YHaOicb>Zop^lE5uu__X(q4={Ba_}^){OSi!i-<H
zWB%^E%NGo}K{`r($G6rwyf(X)f6JwUW!=N$a^9)n=&r`=&d6P=*siCdq{SPI5Hkdl
z01zwSG-ZqZUmVt^K~RB)w0=;}K_3p{1#qT*hzDzAJILa}81Nj_2V+KFrLYB_W`3*<
zAd|tfyfPXxU9s|Xxcj*hnKT(`mX)COp}4b(hiGZzJ3IgMRoNv)jN%5m=tYS^t8Y(t
zy`r(D=$YxeqP+<Zs7&fyFFzX9<fEq*4KR2$IOm*W(k9?L-9F{<eLWly8pge$(<R+~
zmj`#P)%`4M>?t1(3?{eKkEQmC95vozdl;T5rX=6hMkoBfyetQsJ$R05k<2bh#(J!m
z_SysGuOA4QXrycs*W$ii(sIxHlDzxe>i30&pUI^yGGxlOoRUGk$Ic5h9>z0HLnbQ+
z4=^iKQCVDjLS1{3T|^|#kqp$Lv-0W}TBao@$TPJE`Z75Y%kDa44`_<XV9fR&h;w{F
zd<3TmNNmBF0n^H+hn2A~ZL{#7t_yTjHO>nvx!)l23v@c*O|i)R2BJGD2t0uu4Cf;N
zWig!7<8a21i%ph8od>cxX!{<fiwkga+Cmu!@tP74Z45IowRH_ez~ct`h4P!b`&Ul>
zQ`W?W1ti7%MC(WTdkG+o11Dtej`vkr=(7f7te0EoILf7+i)i;6y*U$PxN|N4V=Pzb
zHRUreyrX5jBAysMb^77-N<Ve}s<M}mwy0+bld>sH(HIs;crE-WZ(==Xg(0mVoheFh
zs-V>2Y|$_)rsYAay)g}UOW)~G<%15L$#PY~WD>U_I_2(!uNG(<3(wnDB1)oTjVBKE
z4E;<b+@gmD91g_TLQ8ulvWZoT4B}$KYu~F2>&>)+(LY~fR<Ze3;Z-HYuMCC*#y@ir
zFn%Xu{Zmzu(JsJH{IdyLC7$;|xMoL&Oy)Vszm1|&2WD1G8Dn;;jZC!I`Ut#VW&Vw-
zCEMKVdh=Zp6-6jKA$mRBwzGe{1pTZcDy(UsjI)r`;-=UiX_8X!pAl=_jkPij5#Eo2
zz2vVNpL<^+WJsy2;=W06_KJ$h8%k$m=jPB3>&HBYTraDMr(XwH6T1g`t4-O-_S}=8
zv{KL~*m*98`LjkjJ!tXcd3;Jx*C(3kGt?^x-vvVcCI>{5C-ce#CYivSgY5*p;^s`Y
zK(VO%8BO;`^Uc8L&z4ep6%=YjPm|h{jyJtEF701mmIWw<dS%mR|5W2!9zio`Hg2cf
z<GbGVBj<ja)LyGh@PJprADt4kj-ZRInz2r`Ecx6Ao+MrbbLFs9r*^9NAOkwtnv&K|
zHTlBLkUiJXjQ$?ma5V&5poHZ|LOz-?mq49am&e)%na4BjUs{$fwa(Ey&)t?id7m7T
zIS{mFbg{+vNctP+`TEh!kv_%ufm{g|H3U+1cx1)SZwWm&pT)d86S#h@COVp-v%0k(
z&(Y3#L4d3MV*i)(eUcR2NA=b@`-(0_;v46y&C3P3*7`g#!x0<0^(h)AS+!V?F1m)Q
zpZH`)F_K)XLu^T#***SmEawL^Wzv$93vfcU-tO)Kt^6p>XMpp-86w?q0^1EPTOMpU
zrA7mk;vhwY1XUiaE9kFqSwCQ2(go8X*pEKIgW_v&Hw<Sz6C6kk-RK#wQQ}A0POIQK
z&uP6(RvXcAWAM_C{;rR`!G}oU&}lMT(?!}#Xx)!4u8uFP?G=oWZcVWNd1v)}55-E;
zgGD|3>2%BSdO{sPFl+>-CNmayRZtWluDWrAojLw0g}#%YM-jmsK%zg^-lXY~lui2+
z+edk&$UXvpolaN3wX4^vGT|X|WLG19SV8|zTcb(}lT0gfI+N!7E!&Ziv`v`~Qtn`s
z(U0JFR5v)HW_aARLyp^*$({LYmXq|>3(QPR<MPFQ-R6fFrDl`&0~Uq8)nMw<B?yLz
zzb4w24b-@i#(+6y3N{qE;|uN8xM`F)otneIUCw7X>k34_q#HuI0X04SKFHqlb8~&b
zqya9*>G~>!nu_6VI!|C|%7&(D{mf^(f3S*4(Yl-G5cZ~VDx6JPfV4t>l%|Z&w5NvI
zv+E(W34yA@g0(lkHcj~H-*UYF_Rm7Z{TbDfueED(4^;HN+VjtuT~vGLCa&3Lx`L2>
zF8N|uQUR&Y)ST`fw&k$U8;^OSHT7BKbtxX>IbzLR^Dxd_D*C^IEV<7f2tAGoLGC#;
z=!)Oea~h;L6!6O#yVY01>vnZBEG_npdDzBw_}O{>Xjbko7na{`QKCPK_g%i?y;T-M
zo2gddo@0L6ygeG8a=d1sQxx5o&!A}LZ@|@-L7-Lc#Da8I;P%nKZzYSWomE-ZA0`)=
z>Ka_&PuH~@uGhpEE2R8M@>X!WZeIHP#imEPh2^IuC4zVN<1sAh8T43gk!Jm<pYM+n
zV$*G-hLEU%HvFCE17AJ|$*R6&dK+>*jl`PlndD+rf+53T!(Rhpx*{Q6*bO}0A38sj
z_EXIZ_MZX4E{tmj87X+YnrA>42%0lcFiV3y44g#}S-J&U<5Y;@#`%Z92?BdQWTE1M
zpU3&LK|&5XFVB65ID(nJxTJK5*RueHu7kq|O%>}lDX5ttq2$T&*qj`=I5qMB|8(|!
zvHxUUQBj?9qm^Lj2Q&R_UsW<mg^WBV)^L4KPik;9crnnoZg}E*^5a{agF*8@BS_;1
z+O3c|8fLTl`8FQRi^($F1r_5>5|#Z!vVxe7>vuZ>?EPFGKCyDllh$9srYe`zz21Gm
zDj#o;y@6bOXI<g)w9+9r??r^j328ZoPhU%vY*q4x8>^I9^5jW8>g9bpIlW)(dl$<+
zWb7j>hdHPuY%fR3J70O^)~dZX<HS>?A=r&MhvvK4^{^uI?AGSs9*I8dwa}6yw&K35
zOWSX;2Cvz%<yI_8>Yin_JQ9mO<=cNN+`_cyDr(d-9}karzvo^XkiXGFkd=|a#KhG2
ze69^AjMb|!1J@5IE_MI)U2w#zs;Oz?TCDqHUS7}{LnN^<44O&UkS}xl3k@C&^=O9H
z0n8(y_N@aYK5nQZ9Op)07J>>0W-5ZC<iMA;gZ%%=+T~815jB-6mZ%2yC~EYm4e7+=
z`71}1`KhUDCc4Mi)k~<OW2o2!lPP`Q$@$8*hE=$4-E#fkrP@UMoT+cIT{^GIUv#56
z&g*|RyK=^!lP?}{qeN!ui^sjh3pq9DG|uaS7`~L8*GD~)og4Ggu4uHQ*A3DqZxqmD
zcL(M9<*tfS%QCR^tx#L?Ql_Pi@FiQzaz6F3nr7?jby>&n5B745v2#E@RN<3SaWB{z
zY}0XbW89t^c`n)HgKgpdRd-fWr!Oequppt4GRjg`4Lz0uHH~@IPaDKa`O>$Nlz<M0
z<Vjyzo-@-iKf2`|$u_~`1*;OQYXC?;gn0usj#-k%{#hV~2A_CJQj!}44T3>H9maTH
zCirB;q5A>svS45W!L~i5^1v`WxzpcofZ75Z#8ceZZ77%+U<&$C)qiyv@x=I<rF~{^
zPJ5G2E1`zC-^%#dKgo1k{$j~=YbG^ny>Kyo+R04C<wtf%!wJ`Y=JkX18II5D*a8MG
zjig|~%dyrIckE;(td5(yW6WpOxP?vgHz-!bO|k~tWku3vTWG$J>exWXr6|CG3H`CP
zmiANHP|(s?Yw{HrLkjK97qw-((SuWu1}#v2J+YL<PS^W;UEVi8=LyO`?h|_0U8la5
z&VR?$4l5yRfYfs-BYaq%$+UA~X-s#RQW<iqP_FwA{fw4Z@`})CS9Io;#=5+{#7wdm
za@DmjZKcb#Q=Gq&Q?F3UvR7P3;Afs|hASrs6(7)By%%O-M5z#@*TTLI&ga2ofu9g+
zH<mB~V|R_4j$s4{*W-fhc<`ouhw2f~9$a3q1G@Z9)>|;cf@-{JK33JcInj*x|CC12
zcI95;CXXn8Tt}*jR~J#+S()aa73Qy5BMezHgA2l+R<sfPV|MM*GQBW$)4SO#;hRIA
z7Ug_hd&@M|IfA8{2x)1%9d`8lyL%%^jkgCpZXPkp%*Rw45=y(Cr@ZI2e<*CXRVk3)
zj7-7Pvg^qlOPtW(f4t}K%u3j$$6&c5&>SCx<Z{;9H&t!BGi0-0pFQd*^?=>R$n}rI
zxMDX3RqlIkQSnPH?~zJ!!dc6dx?sa43~R^we2K~vUlx5OA$?lAwngt3@hh19HifNY
zjo9m+w@=S{YEXBdZX(_%e~LJ6SM4O=C))&DZ92?<1nL-KFD9Vv2U#`o*-ZdzaMlX2
zcdvs)y&k*<5Lkoru>ev75_y>F0K)@s!4MNrMTcY%Gb>~9&N5&R?A?BCYDBX=qudgG
zdM_&1LUXdhS?ZBVzziQ#`(t#mccd(5om!1%Vjvmg@4mmkmhEceJAw^TyUUc%AHCzr
z!~}-d@vrVrd=Foca{SSjseWEL_h)oUN5Avk{6tg~YHmQ4DtXx88L!vsxp`p)S&QxP
znG`veDba-Amsx*rS^fqxw2a`(H*``$_PP3xD1%2A9Ao`%kE$i9Ijd*PFRT%hxVmOX
zKI2}vBvkQkM9nEGp?~ewNo4xU+O*O+$uRpahA-8(EnOCajQNT@e4{M3{p0=Dq<`0L
zatlfrkN0f6aJ3L{l1c0M%*b(0wEJ&`(@CJ%m_SMv=H=hv>?FrhnW3oO$VbSpl^5@c
z2mPr39d%6X$)VaV?efg+4$051p5yaI*!-OAkPZ6t2JfHW_<YnZB=_YBWz>Qob{%Ox
zc)d9;ZaOsfYSH%e#X|D+K(STw-<8St-)IX8vRpJToibOObgbl&p6~!`QTWNVZWc39
z|B#n7BToJ=J(2ytw4CQ}etbuVRO8UIrD(HEH$GX>1y>g&L_30Q5PX=aF)<g*??5;=
z#A=j*Kp!?2uy{1UrVXIbas+=9^s9dX8V9c@xU_>ac0NG7ME2{?Pi8rFKY2-dQZ|%}
z7oDG^9+V1Ss?0D}U!;G0P?Kvna(Yj*k@M}uD6bp(2J+i|(QlC%7JZV=6OY;G3$zT1
z7)0BjOn2~)Iqm<EjLJ{s9a?mWxAVVP+0Q>gg+V-IcMcbk(h0E-BGJ<|Rg$_vwp#O}
zwI^$BEy|WGh`sk3+W$F&PD<P2zL^gng5=!3#&xN8nSy-AQDUMo#eq_P0#J1F5*thn
zi6-_xE0tb0Bxnxa;gFIo*Z+Ornl&G(HAvCJrp5O0K)O1RPN+t!B&8-QQjSaUui)DQ
zgB$ank<8;QS0)yuW!KR|Z^d~wPtC4u^56Q$sYq=9=C13aT(y*{3Tq&qek6^oiR@EC
z%3bxT;n0YaQ6CnPtPYT=TpJlYcd4X?Aws4?h}X+mx|xLDlaBIqsLdmR_3$7eWZEgu
zZW`IexLcC@D3c8p^{0tm$l5elLyE7Zj4?RMmY&wFD{z|RkSV82sVE?OsO<~OG;9}$
zht+1UzK>Q6-)`lqo|O5!5dWm)@sL$9J0qC}s^=@lgoM(l3gP=gzs`!}N_i4iHn2xx
zT0xnrwaEwJm?T2b^mA@RL$IMcI95gL<%v-;n!*l&7vc3%t_`QYr~&1hX#a<IIkiKU
z6;|>&C>kXucR!%X@Hm(rkV%uL=F|>1Fw~Q7bK4x5RcP@AieT!*UZ20Su8d`L8roRV
z%X$g4){9tlSjO?%K6h8c>z_3<K{q&uep&_$$nfY?hfv+I%fXcH-b#rxZM=k@o!FKa
z+H%6`R(@+8_eP6$|BzYzG^;m0tiX(*?pp7%ig<sqU$`1Y=YEA7E3H{{fs$V0QQc*x
zQm3Iw&YEc2%r%0?cTCw#FC$xWeu|H7SWt&lHq=sb63K9eBQy<6yoUp`D>>M1^6hG@
zy=IHI$chSEmFZq#mL<=d2@S=1I+y!niD$uN;9XwDfZm8=dfS$F-r{>Jvh?nPGOL-}
za;0NHv;RMu@Fnf+N!z1~SIOo|+=tX<7BpNy(kt=+nNuTX&V<E0Q3^J=r$;QLK2Bn>
zs(!e@asMcFIcBY`oH;tkN?(PYGS0Z82ZR}YXD)aN?ad-81*ngHS4>~vaaJeVi)HG&
zPTaUwjr8AjcdMD6ux$xq9-fXJkQ}t~w>GCf>)G626*ahrh*fQy3dyWeov1goe5Fu%
z?Im0M%?=f&D3SRfN#pJpv!ptdY`-`X;?hz2H!<>Oq6j`=g)|x2<krm2A#`Zmrqoix
z$xLDtT_s{N4Q@a3y}h18B#3xVJK;Ma$9EToApNE_W;y`e9y&yb8|2Id$_K}pbx*)<
zu>q+xlTAKS4b|Wbg3R9TzCKlDWe*6wfI(9HH-e=9RdSZ1WR0&&t~`Gez@KshiEOzk
zm154DSg8||w~;5Az8HuQWR=jI3UbWc$O)>X`DL1VZS_Du>AtAWs6xGLn~Yy2Hh)%}
z(?VfjAapf(P$phKHT|7Y#*D29vqMQ3FJ0yG35I!9*ROh)KW{wZJMXye72%I}`E;!N
zj!R;{efxv4J&TTAW>=(5pH!vljhS;k;dNt7IJ>UA;Ukf8F3~&Fq}V&=F}6YLAxG4s
zUM+%)3^V-UGPPb`$tP&lovdE|uqz^c`hJas+bx@GexQm!>&4G&@DLiy&pqkv@{~QR
z`hPew#+oGJ1Kf0U1X|-?1`kvf-lxZhI5P-aurZxGrNHLilMXc&OyNzbKH-{=6;mo?
zcFFv$huFlAI(xj2TNz_*!&~TTl74fanWonp$u%Cy_z^K0mqo+<A~{}%>BY>uNi}SW
z+wgLOd6~<8{eFhVG+7;i(CU{J^rennNu4V-L&fL97%E8~V&n^I$y}4X8AlvYxj)tB
zdpTVnVP_wf=b1=M8tMe4rfM}@5tTYXiG_Z@M73V#ztQ<jiNuS#ORW3zCAK5{o-jE*
zbo|@u@Vg1*{CJn81{E(SU7fKXd26l|Sl+9nU$lSq>(RPA%heX^|L-kWNj&(GYfd3M
z4;Y?ezz%RBGavE(;^y*#F%!~4!d|~l7qQa;LErA3|C=ETCprMs6E{c-oW!2s=ZA#m
zlg3~wLd$u)T8`&#vHV<l*PT8e6N`Gs$YhwCeDYd$AOAY#>By4)=9NxR3d^=!WCTS4
zL5YgIa(Z_6;CLU+FP|?bbUon@9jvVrU27U-d-{!s$VBLaZjfT!k|NJr-;76aN})zG
z@EC?1k&gqioeO^wW#kPOaj=dMtjh;}N)%zBV?5sB-&*rnT=o9)M>=Nfq=msU{DO1I
zIhpwF;Co_z*Ic~IEvG)%b)oIl?nid-d8byz@$aAiiRn3|5H`uXbf(ef&le5LShvrM
z$Ld>c{Tnv+Lg8=pR_47;9d64EG)}Ucu3WiK@<n`x=vh-5F^O2`FM=F9yf}l~%))x-
zXe0+uDFhLm;!pkNSba~WMIzIFHK&BxE1#y_A33w9Uv4?SG`mRnmIV`|^dbG4SemvG
zij_8)WY;o4u-iSO=2uOtH_=|r=X9arrv}ei0;_UnXGt|9Z|{v>7VG+Z=>V62_diMw
zTx_RcaRr9R8}iw3wlx^B1ne&On7zQg1>Q6$i04lB|860%Fi);}!r^J{b5pp9;0qhf
zJjsoNY4+BT%?jhtpkn;i453wAU?nfi&wSE=w1;Rsh{Dr^%(0oWw?w$~C&9?{_Q7_A
z1b0X{*(XxnvWhzDRTFV4QN2l@B2<C0D3({T=reUB@>#@W>ucFqC~Vv|4gMj?cQc(b
zoIi??^$bViYo&X(hdu`(jI2Xr_ZG{6K4oO-T~aSGmw0MFeUDjMUxb5O8l@~IAF#NC
zV13|XQ>Es&sEBDurter(PI#AYvCro5dUsZSgOyCC_%i3SS1&ZsVq<i(`qz2aR@WT{
zJg=2w=+;o(Rrep4+lY8B7sR1DL?*9a)ob>Y>U(|Icy=LTHu+IU`xolC0V}g8X=a{H
zHjR6O)h%7^?G{#6F!~H~E~O<TJivqxh(9i5a>nBqQ|>p|N&(77L1m0HtOACVC70C`
z4sG@cY_JgB;s*Y5;6uSP-QC~+Ix0#>1v1{O;7foB*xlz+IrC3>(6r<|)x$fnTgmI<
z`JBhC#y7N*EP_XRgh<S$L!|2lavdGkgo&0A%8Ma#7In-@|M1Xg)s$*B>0S2PI>Qfq
z``niZ&07`kh!VCRE6}|eAic0EXm39F0gd>ML@m&ri43TzvFNxY(HCQoC)FOhs+VlY
z$EYE=!sYgkBQ14W{r%0GAG9VJ+VhatAE`ur(N5R1k@XyPOnfP_S6XortzULwbeuCH
zem%#inxo^7O0rm2)Ak*b2U65cUJUd1y>y(n8y&qkH00${_txI#^^z4`b7EAUbm6{$
zxTiNd(9S&i;C_*{Rwc@exA^M|S0j#5Du<{#-AU>w$!mT^D!2Xfqjy2Z$A04mBbYED
z2jdV3<7pW6mirCT06h1wg~SJbC#%Mg#A8m0i>-lZ3iy1ubYL#^1v@HWK|eRN<In%c
zv+!b8^^(57n_F{|z0x{~E00c>Rf^R{PHDdNO$#1`ik|3=uMVY!7qbh`Jlzh<$n7Cb
zVG6O<3Nx8_Fn_nVR}24Hn}WWT=uDH0j|EfTvg_7e4JVz8I_W|&zbcV$i9}b$Cs_1s
z)2nL#WWM(=7g{MaK_R>TJZ0N(G#jfir@gS1aArX8>QJ?Q?rR@LE%pjjZQlls*RyI0
zX>##()4%J>H?W=E)f&xzf)Kad`1S4++{)e2?M&`TeDeJ9T-^lvgo<pf1fP|ikv#W@
z%uze$(Kq$l7GEMuxhr)x#u`D*CzkQlY($N$P10IAH@oY9qcALIDJ6BDFbFNZQM9jq
z9f8*jvUJF}z@;?;5-}vRKMB=-Ei6&c&O%DZ3Is8_f$bL(li+~|m+juhOjc@YDo7w8
zC1iKxp&TUfS^}}`>be7x_Ko^gzS?0zyzq+{f(@w>Wx4pXhuP>V57k*g!g6c(JC@Ri
zgoq(aeLvArEL|^+PG)tb{*L}JS2XuS0*i^t^HL3F#oj%{_4Adc2nS?cA(rvmIxlnl
zRfK?xKI_6Xf-*BbSUTT2<X+o}YZUEIH1C4sW}e{v^)p0XxA#v?r0lhfj{c_wc!4_5
zwu)8cb7}GXBz2C#nUqq0x3hZqZndvebtuy`=Gs|i!K}VV5;@-ja8;`D3Y8Ks?Nfnv
zrmnUCY^0@7EV_IA=|Y^tV;w_cCej5e=BQdb6H=XqM<tf?f#)_=3UMkC$gu^!NEw{R
zxJO*YY#*|iaQi8)O@;#y7<MNJc)>y-Fc|Lv4TB6U2&?%@0z1Spgjh2|(fqHWaN@uI
z>(bF$Eq}x4jd*|LsL5bvs#-VWIjlZMP%)O$QJr9(3ggN+&SP`J>mfMbx`q)Qt_XQH
zPxIr>bvcEUVfW-dNtO4NE$nGBWKt2&CEXC)Wn6dtt@E3SxDR?P(Fp1GxxTo%?0h86
zWBCUcu9|Z%_bc<ZE?(VvPNyVy)#d(;IPpl;-e|8iPv>xIJKB6+Gh<<?v<$BH@#R-X
z2UoeP(c;7tIi34&FWsrC+2iAJ{w%-qJkgj<sgW=(t6yP}Y_x^jn$d*pGH^Z7yhB)_
zT&Gy3Cu@H$a($FtyfkR?gH^Qkk=V-EunO;at%=<b{C}ll37Jm?onno^uNdLNxBS<N
z3y@udAC7yP0;w|gDeXD2tI2tMHW-g1yWY;EN>Y<0uMOs)r2br~M44%yhd0@EshovN
zIUH7cKJ4BKa~k4Q?B>j#q_i2D4N6tQ3ac-cqF7i~DIM!AWAzlL_zRj}PMxX#m}A~*
zja1!hG@(@h+M+H<ViYg#dVqHMUDCbu>Bj7OghZ0+?-aK%HDA-u_5IQF=CFLY&guVp
zE=h6p{<t^qUOBJDbx+3cuPQsWBqk1J+(|2PvC{5JQh!_ybBoUAzBYJu;OsJ~Xm>c*
zyG+>cW}yE5$6Q@`9WSZqerbkR2<<GUEKK@sZ#|`Git%r@3c~e&;uO^HmM|2i&NGGg
z<5L3nO<T8``M!qu^A<$eWmk(6Ot$a$aUvPVQsbX9xg)7sBojw`Oi=bxX1$?Nbmnds
z0~=NM(t~yrZdGKMEFhj2Erm5LY+7~H=~RBmStP7<yngiD$1TS?1|`~UyC*$A9rtUb
zBou|!?)#J48%C>!9b^x6E)T!dWwE=sUis&>c2%vpTvN6g4Bn7;;yGt|BfjcI$+gez
z4x&;eDH(TtkHQ_@lkBnVO<7M8zsu;&VvcEc=tka@(EEpFU~Uu$sd9Wdb>56PYO%{t
z7O66<{EFebpX2S!wmlWXTuX>!l*j=F+5`~-Va}`3Jc*O>dhPIKaqN>n0!tp8cP>h?
zns*>3ghtB(J)ql68$doF930ePT6N@fpt?HIB>%wwmw2Cr%y&z)L>yMzbTAs5O{%4L
zO(0DqpBhnKfF0V%+#jS+u~z%TUiq>^;dSvl>R>EU-x;a$objkOp{Hgo?K+4Qc>+5=
zl&Ws`m)#P<S3Z#BydC<Z`lr#PQD+&|o65YN6PjwG4lY+cnbhagZR%@Y)dZB?Z<>Pp
z6#gt!^Umn)Q7_j<D09eUZT6iQ-P@x+Ulh8v@U7z_p)us)1IG+_3GA%Wkca>yA6c1Q
zpqv5;-4w(pz)2-9_XLBFgB7p9@l&(<lAxH~r1;bL8fk?9B7y%fnK^u-Z{d}U-j}ts
z&yqrE-Gy&dta{m!V$2&)!^fFL4;dMl!EX|0-H(tFrQEiiXtKAOHY0YI>We9HGcjz!
z==LZKJR2=CU!~AfJkLFWwyjBU$&lV2#dMjnG#<Xi*qhvJU(ft|clhzyDEG72n~cSy
zoazVXuaKJE+=yN~X4bSO;oV<2IIuv6uG-9M5B}~XTJ7W)d;NW(uB)iKS7#=M7vy}?
zM^Wjo?>Si=X4l_3%8jEQBT=(wPzl$UN3zB3_Jv2Bnvdx9svQ65lg~;?!3EJaLxwAE
z&?AHrD@ZK<e<%#){YmiRFFa*#x@kAV+-UGbeX+8{PBYwLGw13UUXp3?ST~(qpvd@y
zmQhE7tLTvPNsNQ%+|P#bktbBLW%|*j^mKcC)-|p1WgpV2*-d!8Zf~zFeG?p-LCf<?
zZ?^95jeCeRmHWNFZalO1HITRYaKZ3aS;$>2$=XRo^?((FP2%V3>g*7M&lWcHqd$7t
zRZJYEfKR9Ql)P$Z_I59=X3!yr)b43D`JKh7yuSRAl>O+8zVWhHk0d>%Ge>t&GFhTz
zD|Wr35$tHh9wNZ4OZ39dBG)^=N)aCP<^?du4l@Z&n22?zPom23UfitDf*;9ST=kyt
z>rzgw+azOEfoa}0f&J}<atfNgy<Z}omspmHFsjv3b#+oQHrt(FiNA8&uJ<u(+?x(j
zw??u)dn2urHWY}=_Zj#S)EK#^B}B>L_PBwcb6v>v**%+554xkUzNw+fDP*TWS%{C_
zymhM)jnsSezSb!oF;mal(v58zY@fVg;D?X3s9_k=j)LR~(7Hn6?(X^&U}b=Rt3P}Q
z^If+AD97az;zCXZ1uJ3N0APoZWD3qSCJ3Si77oIDaC4JWFE84CFCxZg#?x?)7r}1|
z{vG{jhTZ09!F3>*MBzdMziJPC`)GM0k!X8rwBgbMjhizk)1Lo&dCD60`I+kXEUUi<
z*`Z=NlDP6v@95LvyNp*+r6Oxa0T1`IHZRaIs0>O3k~51sHZX14=9y$4a^$u=e%T>H
z6X{=<!YhPgzU+KiLWlI)(MI?8js?l@;j0CUe8@c>w}@h|SXHU*M8?sJAIXu;X4GS-
zY0apY4x$GskzY(Ug3M#8FW8kI#nKxNj&xF)ZFx5^gvKhjGcbEsVqc*yOi@c)jK%F&
zWxVdsxy|>ZJL(bQ3*7{MPA%~PZZHM#h`3;5-WK4__d%WVf3fw}K~+X=)HfWu8<g%Y
z>F#ce?hugf?rxCQLn#PKNSDMRq$Q<WQp!U&ew*ic-goAkdH>R324}p_x%a+et@ZN-
z^?v4yr%#`P_>ft_l}AX+|ALGqCGSC$%V&vevV4TGvJylDo0xB?QZLrzz7^jM^3`qu
z^Q?=9AD7Y84^B&k>PoJ+Vg4TOE-?tKB|>KR37s~&!Mtr^I<#KI8c#`1+ehf#ep9?5
zdnfkBm0yC$PwU{j5ksEyr)!6YFMs5N`}7TXP4I2?PAX#C#pWZP+2z-T??&83)S-~g
zyN7ya_5MIXD=yEvpZj@zHtfvw33JJzrQ__x+p6FWDZkv9A%wp#YhP-L%a<GNN!)v`
z&oY;hlHgRI@PwTv2hxUgwdI}}PNaNR3iS>tu&48CR7ArJZsQLLQ=)#EIG-b}l)Hgs
z@`o_fWmgv^zEa!HcYOiI3@r`*k-S+EYYNZbHp>vbdEUvl$`fGPG3BiG%v=q3;u`C6
zdv#13l{m4_vtPwzIzqhA@42V+-;vI{>?A!^HwKw7toA4P)WyLHkUEzzc0c4<XIwmz
z?y}o!YR$uJ=s|vBb)n0q*|4AJ&I#G3abhsa#qc}0UoH3fv!*?4+1FfW9Vu5V8?Jh;
zlvcUPr=r4ZbE?7`m=ZyWG|Kfj6&ik~FHieNs-lBWP0L~ZyOyLeC=?!`*9FO`LEuyM
z0hu;n@O9G<4tEf)#9jhY^xOxTvcZO_2()NF7JDZj)6$0o+_3|5f7BcVj+-nIO+<w|
z)na`m=dJW6pQ4&*T&jH|e`>_h9~=Eb=EL;2?5r;7-I2a*um+BgJePbEltbmPQR7<%
zJIGl{#L*F`nL?|!9~==g6>^k&L%+LG_bJ@KL#&J0fVaj2)0b8I=k}g$Iy{X5bzg35
zW~Xk7rn=hOq+bW!M_(JWl~ss6rro;pT?yH_SJrJPCYK`gFG;sPM)egZyh6A88@)&J
z@gg;0;efrSK@-EJLydUbAN3!t?Q_92jW65Tdu3HStXn7l32?ibWxwS0g_qPCm52oS
zj8mp2i;{2t4CG<xZyg7D)Q^Y}5I^)>%?TVHAg&yQH`l$`1H1XhbUAP^JVw?6$`nZK
z%K#`|uxkS?u8tb;ZN3GhVt{y<h-rm$!vE8e<v=8YI_E97f1okh>p|i6T9{4@rGKBE
zYfwrOSkoYqIJUw@<1mCcXGT?ax>hrPWH1iet}m2KMIzN2^n;Os@`OMJ=z#}I<YaZd
zYVNz*3z0sok16Hnv|_PW1P)xN8u9sryr^ZRSKn}4X2#n(+q``mzfm3sO`n`loN;V~
zuBSLfKx^J{#cK^rSKr4gSy&9`4~xVj9=vgX4cS|ymXN(WQM_!I3mBx8R=zL*fsAI}
zV5`-IImUQdi({pX00I<lk;=Onro`IKWcyV`A*0@$!pj)T-+uHhk7{Sb|IG(nx|R>Q
zJKcG8$!QHv#;UZt(lNhsets2XXCzfDx6j8h;oW*@{@(Z<E8!dK)@dh8-Rw0)MU=r;
z@YKQ2Nrw7Y7PPTB%nI!E^`Y=k%joLyEyGS}=F{A<-z~F}`RB>ccHYl5|Fd|uL;2UY
zKY)DfIM|%cxaRquPh_6p==-PR+}s5aGuj#ub+r#->!!hO4}6;+V=ftJt_MK#@(pC4
zfxVACfbRe>q#2+P06)@2O-j%~!>nmJU<g)L<^eS}@K6A<@?&B?h@uJ(mEZM1ky1|n
z+Lv2buu|=%r}8&R`(K5X_*5AD1N-DAIvlf{AnNy3Lu%jMU6FM4p{r#Py8erj(A^{2
zsMorouk>daiZGIV`y+p$%}8r+Vla$z+DVMfwEBd<7tB@8aUT=^bc<j>$W@SDV4X0<
zGg!RqvL!MZ?DawKi=yrK0YSX<#2nMjT9wT|0(nntZ8juq+f0R*KAaR+TT+(pNA$*L
z*;aAs%SlO+ozPjgzcbpm(j39bLV6*e(l|#&E1iqrKB_8y!<b=%Ft~&4U%&Nb{UjpW
z^+HX3CR62zwKKzD3Xkc2{Zj^s^)4+AGK<!fD__oAqWqxOT^=vW`)jGKZ#)^`z8T5$
z8?20(+8c{c^W|pT$#tf&2Y%SyRuqMxic*Olq(QF#S)<8*m2S?nK+l0P-WVJZXM9OC
z*3{HgS04t!&>S|KM_{-57`6t05?6qj6bJ%#J3v@tip0qPUdUAszMO~0sSiM801Q*p
zmoHzcs+|7|_6~VOPXqD;Z4Dq_EP;C)K;M?YhkJ8#1A;8yEbb)BRl#-!o=@93UwQcY
zWJ6X>ojpRh1aNcYgYT)vNFK(!4t4#aYd()J+S|`Xyc4-!Zq(jmiNC}%32+#`rfLgz
zQ3@#UuxCOfbWnCxD?#MxM&@FWV59Q);(SJk{br{6e9WSY+Abr^hXB@+>RreTRS98T
z>y1A=k3y|iq0P*uX|#$%q|J&={)g>7Vy1+9<gjm%5W5;(gZi-d+xv#zvf8gLLYllA
z@90zGyyOi$W?dbc%R^7tbrF_Mfa;^zgIUUUJuBaP?3@dcn>2<s5jrZvtfqW<v7p4J
z-_!nD=4>HfvrWEIN<_y<M9@08JalW$94dvC%F2cTwUCjrPqEwp$rYvOSMn4bX}86N
zbE?Idq3UsYngE4bguh&l{RT?7d%1VnS|8MPc-)V|V$^(fo&Ao4>T%oGF8I38A*M5<
zLmK3UU{~j`%;)3Kqk<gP>{F;1%EIfhoTwgy=vTdN_?udNw>S#P63ZZp@jjjmHDV9{
zY|}`AlXsUk>Q=4~aZ*awHY4;KnurLb*^t)yDNM{7a%dlkLhQsQ-VSqQk{&=CZJ&v&
z>j`0V*8h-7v!G($7}aGC;rFCCY4!BBh!ir;ZmXdE7V@V8il)tbRn&=EDwxyFa$Yd)
zP1f@@HMMSrM$DN7U3YCGP4`aG@u`#Cet*;OlRm_*=~4MNv=q{-x@}r?6|eB<N^`l;
z%Kkze(uPEHIp9>W#$jV=pS~V<JN#Rk|7Co2>mr{L=N#kEJ?bJ@xc?&X+}`s+!PaX#
z@kXeUcqVVM&wZa`JbUi9DlZzf8p%@A2o-Ix$TgI{Es!!*SF_2nUA|g_*i%=zxLD~G
z;$~XRk~H?8Ek_wInNO8FkgwKSH}suWydP)MmSz3ZPM7`;g%Z8)MtC*qfvPTGaEtOP
z1qCYqjM0sLuApHW*Ip<5s~r05p>GEq4f-Y4{R3~D;fh_>J1zx+ffB?JR*~v9XQl&v
za%#k+*wQR->ooZbOf96YRrI+2@BFFA>`AU{3v98m&msr*h%2$5Lz+h6?_C?yQhTr2
zcinD6O8$5!3;gf9VHmb^HbI3_HRvD`v=Q7O!BN`I6gGv2lE({q$d7mxGATk?vd`0E
zGaHmX8L^19OK@UKYzsNc#8gv@kR+Ck+<|%gYeR*;EdMBfBDDL4z|LuDZ_#j)MCLQo
zu6A^=gt+Ab%SgM}c+VS?uDE2`TduYQ2`Y_Wk*UhjPbc8qa3cy2a9qqraG9dlvCtYs
z0M;W6>ZH|*IL3<eU8S%VS(qFonpVT4WWMo~^2V-Rg{uBqazZz`f$UN?x?z$Bnq75S
zA@`2ZeT&u&lF^{&JvRxqFK0&<OyqrnmK<?dnJ*<G+t`%)4H=cR3owBoUu24YV``?l
z?pg=a*(>%2Oy$e9#_&>(jbbrA3)@MoD+{oM72@37-uv}jGaV|@p>+U(0DyyoNVil<
z-vnT}0mQw==~1!{coe95o9gR9CNX@*$c2j6T*jz#$s>&eF6#bDu$G;nUv>5_YRk#8
z<w6`Ip#r(2bYgSyrsU;xN;SHxA)oYt#_`RFo6r0d!TS4wwp5Z*W73~!+pyBy+TO%n
z0cs&z=vO6rj*im>jrf0EwwK>XjcAhl(RYck-#hw}a-ZqDOLu0LUNblh)O;oiftD-I
zhNdpi^QIz`6C4b%ROydSSqR4TqN&P{bp;(P36GNb84Ug#Mw@eLo-m(Jh-Is`&0u!S
z78V?{nss>bj)$K0SX2*vEGOc&drXcebcjF2dh-Ql%Iq4(VdI^XT?CH8!r&58Cj}OW
zG&bu5QS6Vmq8T^X0s>^3Q^VBw_&7-N#qS0&wo^>%S$EsQor8@9)1m);%@9d^Lka_;
zy1d@lx?S~_I=G}=_o8xLOOSm>@}Cx+KUmm%l3{|Z<5-D3O&Oy(t@ZK;Ib?{^*z&@I
zY`%IDpJdG`sO~`we%CR{XRWtQb3=woY*Y!MEGmOlYlK8Bv9Cj=o^;@9rb0Dwq=<#H
zMYimH#X}ARcJ6lWLV}CGxSHn5SOzn?bJg?pe-XshrA|GVineD=MrwN5L+PlZ$>Ykt
z{%~Rs@wFQ;_$f}58jou-A1E$=@+v2o#v-wLU#)=pLF_w3BvJR^x|fGfH_?LX3IGA`
zfjS6}4rCMqvzF(NcoINtVe?)4@cumrG!_iLy8=T{C-8JYgg?smH3Wo&KgJ_JMyeux
zfkg~70l&m6QF>3W&Xhdk556t0yS?-ncDJBwdqKZlGbt-s-I^2#lYig%GCTPa>ud}q
z7~g{U8aV^@q(Tf5mC+vTqFx<*$|LL6ZNE&zC*-f|t34+hK8={TDjho%{$rX~@3+07
zHp8;6>s1Y)yvmxb&{fOU>txqVed|haQ{9e}-_XW*F)d|CJiFvxOk!b+ESTfzekj5G
zu~_1hgN?}_FJIl`ly|dw7?+>o7hTt?-!V(PQBm#TF<-`3jFFxHW8N!1fUG+|!1S{e
zkM}e3C&C!~nIfZMsvk5WYI%`a!niZlc0W*SgD;KjvO5^*53fQ>m>Av4aeheO8DEZ;
z;a8S%O4wxYyBpW=%jO}Z>TXnjbkS~YS8)o-5$Kwq^}`J$Z(r7Sg=uo_5wlaZr54K|
zIMD=hJ7W$|vqVHpF0UUR<YJsVQKN52cd0chp1mQnS~bk1V=}6>Zm&eEOKfoS)SXSh
z=I@)@!XH<U>_<ngk2DXG%A?33=?tX-S(UfLW)FN|r2Q>$i-Rr_XrAw^Xl~~K_2Wy(
z<KhZ9WbZdwq#xZ$%E^@1zY};!-*y(bc4Iuo*gU4D0vO1v=EY3eqyO9_U6SzWHLsM=
z&d=}bsLEisCO0SkL@lzN_4N^22$|Yp`r}2sXq8t>9>YP*<K<Q;e4~1$>!o{c{`veY
z>*^JHo5((~C0{y_Y;^2|3G6;bo<#lmd@QgR6Yfm^o!U3kS3lR7A!+J~)EBQm4vmm`
zGsC1Bq#qoH_O6BjNA(3!0;-6_;|!!2G$j>~Zoi0!n?P^MuXNVS(g$!=8*vrf_XWR`
zk@!O82uVMjf4)T^1N7It;U}bDrmH*9sLk;b)ZlBbbMgZQ!+y3!^9g$S8`&}<O@ze?
zNh&_!Vj%|mFbBN5l;E>ZkF;`-Zci5pl4|}wvPVD$D%hW1>WqZBynV}lHvwjT_}xH~
zXbT*4KpWS+1?s&=*(OLA4Fu3Jo5iuWGXJg3;OTR2Sq#_sC*|@o1=Ysfrc|9~RJslc
zvFO!FrHtj-X7K}%p0TyMSn@(eWQVfo^-I_AA#%(2sH2|8L&XtF==8>gk))(mW?io|
z&`ZCL{Q1s7<FWthd}>6b9^KB`c_38jX_yczx_KIZ0LJPlT%{(1zKbdzuY9J<yYN~=
zi~kt9f2*YL2gM@UL&~MN5@6I=D=f_>eqeP-l^F3;_2`ea#3xughTjnysPlCfB@N)-
za`OH_U3fqBYa%pP)}5@Z+yNyg!IV#@cCw=kB4eIMp8pCD>EQa#(2^>r=Pw>(7+Q8x
zIZqSB485oTWV^rAmh@V%FMWi00Y)BYAQNUFNL>et?i#Qqjll<C!N7hhA3L&pU_u1J
zHfLcKT-pD-PUvffG40Ve>G?K`$d(8BX`WN0s4p6-dgvm<)sc)1zq+=HX9So>d1#IQ
zR7B2s@8DrWr|D+d?}+C|V?IH(Qu~jabb*I!yf|8mUhGNPn4+ySUqlP_19^b4Tf=$z
zo#|>U7mViVk!F}Konr|`P~6=+ibjD0Sohj%{Wp}+m_3_DZaZ=$l8~ip5)1oU`^h`j
z@mQ6wG5zmhS-2R_e^FD}xDCgv6VjKH>Ade6{EFxO^p;K0?@%LO60yr_A3FOMCP6?g
zvR1){<@V5dd3iUIvaE9O7(op3jex*90Nk(5;E#V}|Ja_YDu#XgfAn1-GkgPZL8t&v
z2DAmhzjO`^**r##oQuJ_NGFt_*1dRQO(;6nGh0N2!45NsIv%F7$O`VQ+%oEHmqE{E
z`qA2DIxbfAfO1-?JJ`#{GINRe)|~8P3^~b=;tAvLC?Oe{r|7*spPGC*R;WHa#55-q
z{S5CX?XIGZ{<Sc<HQ@HF&#un@vo49?;ERqXdhsW9!!tB1W@dXS=?qlwF0=eg9-_C>
z)DWpuh_cWeNi+?KJKq#iXWj7jaTsTjV#mWWTx`Es&pw+<7{Yre>m(FYb!f%#Ji;Fq
z+lo}1V6pcZy#WbQ_Nr4WPcC84XW8(i#LJenXoCCa7j4`b!p1W+v8_#F!{R4Iw3!jj
z@_Ly^J$*X+NR4m{JDWy?Lj^l3;Y!=iL=lXZWIfD4nc2oP*phR)a@4uE-{y#eUwwS0
z{_0V(tcP~*nrk|D2y)r)1zUobdgyfHn<&rg9C(i3t3$((Dm|Qx%W?S@hG=*SsrN)l
zT8TtqWK2;-VZTa4#_}nh0cZk%ia<rwPaSXo@aYqv?V`EgRR&0(i_4D7_HI09@V7^#
z^51~7-D7}Yrt$jq{BPUoD44r~aQz#QFC2LKVHGIst$+?DS>$)@_rF@zoqvl4B>z)6
z)uWm6qc)HcOivs(1j{%<XQfjLn>}uJh;GMvJT259iO{CCUuO^gyaYwvSvl`#yKz{H
zQyq$m?x{%*_wnfvKC5CCHut5c(otoH)L(C&e6%E3I)JFKjkU}dx#W6mcS*_cS=-V~
za$=7@r+G(Nxx|9qxm7Y;C_nOMQjR0@Na&Jl@lV8hLvXefG(muRcqp|`ybC7~Zq%8K
zhK`ax$HDo{S5Rla=Kxegq8_ki+seU*pQBx0D9t<K5Vp1L=QdE(&`;<$u*u`_Rq?Xo
zH(MOt9fHDTDQa*yf2RqOyEDF_mRmIy5EPuAo(`gA*d+QtCF6^=sZb7BaI$}}sOOcf
zmRrBY7aKVW410*mmJQKlp)+dCFi(Wo>DbgSt=Uj|G8bqJrjZhKtqT2T-Fcx5sz*K@
zCx!HmD<&)TVs7n|1${>PSE@}d+n>{-{b2<$c*-AU?;Fd1m??4pE-I8VPoQR*42Opg
z<`UaS+<vTR=&$?|u6&EuWP$!Mu+`aeS7huvsm!SvGCPbC5wSna<Kgzx(Nr-%oFxiF
zGkBOyThRUOMqITnq4W-v*5)4N`|Z^*@eA;{kMPA-6-<>*Mu*yP0|Wl^f7>j3VTba-
z(;xU*!{^#^H9tz4+8+fPK^AxmzYs#twDm)>H<KlAYHK(7&1762<DLS>g?=TvA6{h*
zq-BX7*1h!G1_y|Db4MOC*9@U?6eEAwA$zA{Ea7&cx|!~`3Xc5hRMrj;O??;|i)CMf
z`CBJ6iG4oW!zd1n;385&1<_Kx3q&FGu6-_yywU>Ew(fi*S(_&Uch!L|Tf0T+DYQv`
z^h^g;6StNC=n*9?)v#Hk;k*N?$F=3?nCKw7w@s0ZL3d8O&rXV#b>Z)Z6o_C?pc;+*
z66NRVLmyC96oUuje9s%`wd1c?S|YoCsu?9yUIC50_tDa|Jk8BGm?b@;WtD{mExIGY
z1t}yT@ED<;DvvvVxCk&WTR_-h+8G@5^~jsm{Xdf>C55M=A@wap1|;PPWr{p<nV<Dk
z<&E(y40Z+SyE7{<O04G0mnslu%%Xx#O7URDgHQgC79c5Nw((e<(Re3@PvFefJ!o1r
zGkcepOk|c3yK~keH#PHT_k75eIxFAXxu4xXmEsJL_{iQJAlz#O<9%pAWa6t5r}$NU
z%)_e-@n1vnr>xi_AT+(Q@gM&DdD+IGC7eqHDNwg-1mA#!$J3PBO;sU8Bwa=DSJTE?
zG}pb*h}w?N1sd~f+2JoZ0#iqbyZqI?C1PiTPgCFJ80#X!74yM+Xmtivv>j5m6b9Mj
ze*<^K!TiS`oCLq$8@Bnn0lolWY_&Pg*FJU*49X=%B)+DYIoW9uD2ANoe+YIdVq$rT
zT=!w;J`#FY@`=4$p@;I8tc9T*!F;$2jX3JBkB!7l=GmA`j5<uE^Uz<vckVZ+A)O(O
zRtqPgX&?(17q#$m!!lJ8Auu*hUy*Y`P27p`8bGdPI%oR$zFTcn2gy?@%)Kuxme}D*
z1P+pZMHnA#=S#~yslSa|(V?80u4x`pDu==Ks8k^ph-j1-n0jCEGcvCwaPDHFi2`p3
zzeqw+R(`O3%{!zLY@tC=uzuo3!J+Zh$9X3s&5Tkg5>q!SajkWSwE*%DR8Wu548W6K
zl|D&JIoq3dxVt(AllMgcI0ML9P<9%`LLc{tfcX3XXrMrl{s?*o?k<4*`U}Qh7l5N}
zUkwKJhGCt+$Ot&CC!iP$Ir1p@4xlan`6^Lvg;yc*xY^_q>z)34XWMe?v1U;(u>;+Z
zBu--L?k((!V9BFq&vEW&I5I!s`sKx7-Hcuk$M0zLsU4%B8uhzwk9C?Yy*HWyI`TDo
z;UBeP0V<iU1QL%~CgS2|$k;lu5>W_S=-1d#qwH|;x%>b&i>A60#FOy7tZ&?9hqP~V
zs(iTcGNVPf(&B#3yOT3sbczKH$0Zo&5BoJT*1i#=p=s>Nes&hD3~TA6|C;w_&0Dou
z+-Ir)D+Fe<k%F|d_Em6aBm!QiH)nJ!3C}X+E~Nc}{x*m;RYoR3q5#rN?1Uh<Eeih#
zTLnWxpg955(3b#>?c{U_P<McJvI_{^e!y77({W`94A6j24`e_=fFP;;LFf>0hfDw*
z8}JrJMR&mEho%J;c~1Td^9~eXfI)Ec>!tQ1uqqsjJ4e{X^s#JB`(#`eEe7YE)%!&k
zA`=i9Z0S<EUQY%SL0QrIJq8_vtX@9IEkUYS5)Qh{e>yZ3@ejR6>x;P<4v%||EwPuc
z=T0iqA!gLWSx*24S7e0OGW*dl$23$ee&EpC8%8gPK(UUd!-$-0aZY;n|0I~-ZEu)o
z<DbDi(lssH5rWBV@z!G`N+3!m7-xSh*Z}f530~8~w7EnkA*{gQK@{=N@L@Q1q;RAQ
z2k{~G&jme)mZsL&XS5lEOa$*2Lg<X}m?HT$US&brkL-xZ5*UZ}y100EF#wOXu&@9|
z<E9=z1p&X-6YxZeHUq%(l1B$i&^+KH1OSi6I=`>44``wun^>sFsNcoBtvot#Vci1k
zGr!Y<fV~a}{INCq26SnlLEwq32CXoWmWV})?%JssxZV%C*8UvDb#A75*9SAvxKA67
ztHmlz+|Kw_-Qq>5kD}1hJE|JVVAch*Qp{t;HC#X0b17NmAt}(pn&I7AvCo@Oi2i-4
zPm=2IVv}9`d%E$$*K$QLW?GDVe9VxEPJ6{G`>DzW`_EyALaH<q+)uI(F?6;8ayfA~
z-@6iDz=Vjm6W?cMm<`EGcvq~Rqgk`FC$W$-A-<|FjK?j1U;YD?@<+Jt`aar`Gdj$o
z<QpPW|KHjO_Nu~77anfH0sSw_CkgTGT!-ZKnP+uvyq`qK1}3co(67;pbv$G~!*pv!
zELV*c7}~!RkFkE=7lb;u7UEhodsrk#H+yWsmcl4Md`e}1C#uGuUu?B#wpVw|{HN&X
zYn;ZQ#Ji7~ztyO&;4>v;$KOoY<mlKmXf<t+^}S6G{4qwz-eSm3HD*ZCDCXK3Wmcui
zIXort`^o;R`y(;G-0){+$cumhEEH5Uo2W<5+4=eTO*%L&zz5M;2on|*1X4g#x=0|<
z00O~CeBk*11-2O7JOBp)e(+0o7!-324GmG9TPc!cEolE)Y*_VZFEx4xt^XBJ@U%xT
zc%OGZR@C&gRw?iHc*=Vjx8%D=Ir6JDu4leR+4`Tvv7KXH>BEg~`FCIas>Y<y_%cn9
zC=@~atY_((YXo_QFBKLY-Tn47yjMczgLPR<f(N3^PDE$`T{H7YkQ9LmCEEV#4B}z!
zfW?)t%e?40V&+r?;)T6F#hp8^nYr<|P>DH6zREYAY=`se9=GZT4bzFQnI~q(jti%p
z>I=Dlr)KbK6%{NyJ5h5&i9A`p%8bq>Rrubrr`ze|%Asn(l}Di|v`o--$Ld#%Jp8$t
zUZ{;o*96EHZPUt#6=$PtR?rVyM4eYS*9ORpk)~4ifM@mpXg|PZZt%6gQorUmsAYi@
z%m95I@Zt1<=$ET$i9Q?j$6zA?;z^E|JjTv<CpH!UGUK?9;?fQ;@W1`8e!ww^<g}S`
zrg<~U_*X-4Hg@eS`6`PnIx2RpwP_FkRhDnR$a7Ig{B4tvElnLx*Df+|MRlrwi|@Sr
zh6exXURnK);8^sn)lFT!<w?8UGa6g`#werTPy32Z@p|?$^8se<PJnqHD$+0OW90nv
z4+WiXp%n2ptvPcP0`v56<(BICS=X;1t#W6RLb&(BB;yoX!K-bQDvov)WWJWuhx*&x
zZROv5Sw=l~=%dOd8;U5615X7!VBXdlXYYvzV0(U>(OmYf5A**D0t0@JkX&&4r__^8
zHrG?iH6Q;eAbD6*LKbPcSSU<<dBYw44O=u+U;q(~<u@#?p&0MqY0N_*JVqj8W!8J=
zEiC5kUsYT>E(cevgvP|Vm7%F9A=6$yTuA$Vk%@*9b;maHjlqKWEgTx@!X&zXc9O0f
zDw&adT%;aZp{)`Mv5JKX$%Y9v_gKvv8WF}ACX?CU!S4f()fceJV6)THk1RjnPI&A(
z03;@|H<<$tHhcj1xdO7T0Hf=rnOP@bSmSpC5va%MPhpxsco!J?v;(i-|1Qn$<ZEH!
z&U>YGm)#dtyik&Zy9>yzdPr+?U6%r^zUjjBV*_)!nmq}6R$7Fo59JI-I$zb;pXqf|
zsW~(ewIylJVcKI^-!#+3XLiEtssj&8S}YC0A895D^Y?4R!7NJ&JATw%)D!M*OH9dx
zZps!xb~ns^Jrm#QnsHUVANAHrMn~`Ra+SNfLS%1P4a-bw)g5heLy^;6)@EsK)I2Mr
z+SDuunR?x5+cu*!2V%^45tPQtKSxA+eCTNQ`XLFGOf_Iw1NGHe^2;YOc!8FTg+%V(
zM^q0u>#OqRLFkglX4zY761f7Uot;GI2bcBRNz)g8`hSXFchsyi;_Yssz2?*Zl^5VF
zn&xg`u**e%#!;qbKv*~)9kLj0Xh#q;T&r_blQKp{Ci|1z7_Zu9^jRO<PZ9bjr6O2{
zk*~XjCP}Z576dWm`$c=|Iy-9WlxS1x(02_A(WsSnW#+69w^87PDRIaTKqCJFRjyG5
z{mBA?1xsvpX7rknZ1V)|4~*grGS@w1)2E1gio9;00<R~<Ufd^St-+jZ));r<NcEFX
zrqg#&R(y}NdmXAO1lMVs+f8Bjr#H~FQ$*A`tSb{fmYO=S=4ed)?+AsP<_z$-=1Quv
z8%V`ub%&&deX;J2&SG-{uZmQB2`4ca?28Nsklqz(KN+gsN_Rviu&JVL-g!ES26w1a
zTS{_$ecTdCFuD}+Q$0$4J!gmB9n+cHMAmEc?{Y1b`Y*(V;kMK=U**kg!*C|M+qJbY
zB%QFBY<V>-@rl+qBEJxv&ZL?wqAu|AvaTv|I2e!l(9aOL#aK26cbJz2R<6+RG4}?w
z-lkMQRPR)J!e>?%3g`w~*V{~FSc*`0xWlSTv<0scLWvq36x#6f);tg+$e?Lv4?U}R
z;<zMm*p3}=%M>suzn0HVOZRE~W!Ap77?bWmB)WHqSJ;iMP82tNQS>jMF_2>`?fS!$
zR%Tx=pS&2b)=Zfr(|mE6+7ti5$;)V9)7-*{;C8L@ha{wP3t|vy&b}$!ZAg=Wj?4DD
zuzQ>M_H10XBPdvvxvQ*Imf)bUmM-)S!xIyFtn+5Ck`Yy-L+r2C)iEan&_j&iVfk<8
zOj#%RCn9ff|H*e%GD@eqoWu4ehag9Xky~lVqX@`{OWO||rO(+oD6*V)wvkZD9-6%`
zd@w^^IURDy+Mti|NxR-HbJN^kQOCz-ep5DrmD9P`e;w5sNxekVe~rYxh7dZigtR(0
z=L?A4%K?Ae!Bqx$^mn5^9jEtyLpr%w0*l&=(bs{QtL>n67?VaTht~pR4&mV7fZ!=M
z*V!PQ|25y{RKCxJ3Joa`tM=q+%(>XRe*ZcyoIx}Z2v_*XmJk~o6oTWuXv8%&yfy%f
zw`Zt-CPJd(so_avz|paav^HWH^^W@&zaL&v2TmSdn>E?Uc{R;R_!u3V>WkFqHG~y%
zF;r0=By71bCFHW_ScUA9E5<1b!f8|XV}h*tNZ;o3t#{=3!vcrVgzC*+Yn^!;BIeCn
zP2tO1L{6fUi7p-7K_ivpJ;ZkhGb04LN7jv@akd%vu6WaZ9AkI|+k$8jA9@Mz?f#k6
zyTWDfYz0|*!;BHUpIR&0Bhn=~oR$bOFu!3jAYiR|TR{aKG1%1>-O9l4c4}I_SO<Id
zN3toX3cy5dIt$VX_(fp!9fc2Q)tu8Cq&%iezz_?}vRK!5Xe9srjv;~8kZu0Jms`@)
z&!CT4s~^Q`toa{imi82Pkh*WxYyW{iPKZRhE$3p-u64}^cZd{Uk9zb4#YyDMd{Y;Z
zx4y2svLUnWW{=Fr+BrM+KBI3E_~9S+I=X9k(4%jfjx}<yDuw_VKi4SxE`gsuv7kq(
zAEpwSLEo$?Gd(|0I|n6ULLz@=m${bqkB!cjIFat%R>m~Fo0#FbD29Xf!tti;a_g(o
zmzC!qXopKrm2+eTp{1?6gLKObux8#T&HV-}D7;$~?gIK&CEk&61!^si{SYG2mr1l6
z2yLYAJ)Qm))iZx8Mv-fd9HNqY#8ZAs7JCae23}rXH>cr{kO@Vy$8>El*#@{ha;ZRH
zR{u57U;GA8tL-_fl*7rAVL<A`%--E|qj|N78JJA@8mAH_pUfR5*-SK;3mwOnT)L$q
zKv}EkM+JkbW`Dfp6X-eS5Dt_ukps@VGq2rxq(E+IOP!L<ygp?Xk@x+8p4fL36&o?z
z68Yx`Ceq1ayth;YcHb^3_ylj5f@O8{ZC7IXh3N>OUeJWmhtn>l-Q6ejHR?*PFBVK2
z&iN;*6#q=upw6gdm%)vY%zj^;zAWQ&>x2@8#Rw@}T~Fz2S;RL#Aui0v;DY4lV64?t
z&^b`NAsK9)q!8)`HZt@M0`q%s7CbFW(I>$OVhMj`0w^<HTn(-B@aY$mV(P(XNK-M)
zQY#_S!2Jf;UlsZ_0nZ2J*sjFE75riKZd)Et(i3<mc?@b9%kcdV!+2;Pub_d6u28x&
z`?b>8h_D;2D}&uUj6<6!66U)$@oE8qF~4LTEQY;(1^ii~j7$eTB@Kxc#6fN75J#ch
zQgAyr$BH<vIGJk$j3vocH@ji!)p?KhsV;&>@Vas0gIeV1yV3DGG_Dk#Bm%0qazxOv
zc~fG`O{~$K#buIn(w}Mg+QAnMs`!E-ET8A#L+I7kVks@I^jr3hPbq2rJ_t@l7V8k$
zl@Q8^H_%Q9j3uDYiSI3T@l}zw5@=;YC_LYG6Igh{v#SqK{uUviepjuaPh1T<_`sJk
z&khG+EP#H^{%Q><OIPOR^k2R_1^hlM5KZ(*X1vPQTNC&3L<2bB3Fl%qh8>ogi1>QS
zV;$>FYTpOKr13?D_{mfCJ1s-M>&!c(5cVL4A3iw&pED!tviikG)|uF@-(cAZ+8D$n
zbEGL^eCo@A&=hAjGk|#T{z{24JW?Ck;`rG9+DuN01xefs0@_={AvTVJm6hk%s&3UA
z<8S+B|32L6iZ1?;_MDqo_|3;^GvLrr)T~@@N++dS6MQn4u4|yEIPDp;SIqh2nSA_;
zOZ&^sv_H&Fl6*hDWOy4!<snHk{s}=}|NOhd&S}?L-SD;eDd{V{L59MZrMH8hpqmQ@
z{t+o|PTtEgm#t)nC})J7LfkxsF~4qa^cBCpkonkQ0t`;#%<@fkl2@dLH7GiM+h_Ft
zpSqgr9L458;Or$M#T@1z6}zBuL1tnLwKo(q{-NCL*lZ+zBtI`3ER?+x3UgOs%fp{X
zwlVcC9FgVDi9?h_<u9{YVyB3ze}|F`6huIP`T)Xl7Pum%BFBL&2=uM^a$wNpJvIH$
zCN1E<B~T{PScAbF?W|W3Q4hwISll=Wl$91|Q3{u9OfN~fMYzW(w_o~GJx(=tMr219
zZCmO=#lwNa`;m&GqU?v@ZbmtRf$$kj*>`S@iA2j_XJsQJBA1y6Ih-Y-yPjbHi^+BS
z!Oo=He~{3C@Q~-;=Hn(Zes`LVmJznC;-Ewsn$W<t+La-@!yG|raE9G=1>fd+9bAXc
zwq8$$&Z{*eF{jG>s<lG@rwGDuh<<?ZSuhr%sB<L&BI+-gv$*<tcT*g-_lLuRoVuwM
zi8}>6iInJ2qd}p3zo#wfT4Es6Neif!=fG$l_;)J7dua>^-0ypxK_n1p5<w4xF@&@V
ze2<UlM@j#)RPP583HX1Hc!pE_8}uuV%g>0ygdQAHj{Rn6QgVKcVa+<|p=zIECvx?q
zlVx-RTZ|h<jY~G=gs@4Xk36q+$53`GHPU}N1l^L`SMWa!=kb&1IEGkuS+5ih%s^Av
znVR$a(iIO!aR#~}_Oc?2L=sV(++wuG<S|Ut7TqWn7?z?t^#rm9ZV!<cBNjW|AvbR1
zyh#_-QU+}Bg|&RuG=AwY%B5=fvTfI}>6M=;og<AviA3U-w>QNbZr7&>-KvBb6g7(8
z^6!|jE7?a4pQQF`t#Cqng=s%igK_`3i1nykC*brw#;<~4B|N&oU3nUE@Q@x?7YZm3
zwZq)EfX~}7CUq-uy_x?1Y8o5^^d<lQ%BrZ&;cUtypGFU>x|bN*FORDztN)k=uZXi!
z8ER8`lG|10Crl7f`<BiMl(fSJ9e&)7T~9YeW~-Vav<X6`Iw9JIxON)mU!nvO4XUlG
z@dEc+e7GTOTna+LjBa;%cx6$JVX>Vzi?4+usgK=dWu`NvGt%dH(jvwu{kw9E^!ufL
z2f9*=EU02}IHN;@-K8hqyuZpr_Ya}A`E)*V(TCpK^>#KD@14if-BZLWN?i5c4`nV`
zg)Z~%ySwp~&~t>2Sh}sG22L58?{%##2VB3d{X$8K!`AXiKxML?C^!HnvFpnJ?O}b_
z8$ym8-*VqoM*Kuqz(`Ta+`)PKDpTmlb~_?lrMjT4zCH#Ab2ke@n|79o^v(q1@!o15
z+1TU22I~`(!aG7+1y)Wc^l8!3`XQ_~S<xp$rma?xft}3^1{8vxs;+)I`fbRbUasr2
zx2}ZZxme9GUvx>^+?mP73Jz%&rdMt#(9oZ%ZrSgGsJt`3iOG^126qgsGx>*!Hr!Nj
zLMYpQK_p%jilN<FX@0!X@0njF_D+%S=5OZleTy->N7q#>Eu<4Xm^TeI(e9i-B&ei_
zoKPa@|CDFfoQT5vStG;_>xj9J9%GYnP$E()hUUL7!^X(Gw#!^=!pLr4X~;}X9)@$0
zfL!^vYDF380lk%_*Xb7=^0=&bh)iBM<qKVxC9ncF+PpYe+dXyNp@!)7DrShxm)}>b
z5UD3m(RNw$uhxbxF6bbWF@7Nn)}1EsC_<$2T|<`9rMz}hZ_ejD@0^F3;If`H)=&JJ
z=(Y>mIrwz3JaiKxaP}rh!?3kdIgt!%T=&HB`SShiM6y#8Ep#AN5`_{0GTp6Gu7y<&
zO&$t1nmMt^r83)~hngJLpNTfb(^Z~)pF&01?szq{122%9X)Qui;GPiWfjqs)2$-r8
zlRR+e3M>=&RE$^}dWL_2s1&!K9CwG1;MT1!Qf%cKHb@;t3ja?NkGAx|(B6|&bR*E~
z0pEYoUB&|5me%{MKEU|W3{{!OiUJwYY&TdnB7H~RHkt`GCi#EWc17~LC|g#Z>Wry%
ze=BSE78@rW?fz}t@_&b(n}-`I#z6H?lp=k?{swceXI62kl_CBKxLXWGHfBYWhf&8H
zZoPUSqR>G4lQ?r)gzoHRf|Jw1ofo;#oXFy0kWx)0mef1!<G|QlN#RdveNjZt5Gv1t
z^xI7CL|w95Xn^vq*}_wsS)o^dMGNOJ_le`vuuy+@S5Vr=XveQqLj$xC8gM)26=^~#
zG{>58P)RjERjOM%UHKFo773LuFd+vF3{KuF$1g+h{lf+q)|e$ETOh%4jcdaL!!hHG
zIEYDX7l!Q~MgE*K+yjjCq28?fsCcTPaL5Cp%l=FwURw-2+1MpU8WcJ+uZqT)3>^J2
z51QZt-nDN~iB&$X3m{t`g%yAlqNNrO3UYD)PGunWe82<Q#pjhSK@LEf51`jMptk|1
z)@l`ACp?O$!nD1$q{Idk6_55zfZ3Hp2L<XQ85Y=6*GU2U_^~5e->OyzKL)>f0DcSv
z&LJo11yIjP)u=Hnj61RR&i4NuX5&b!VWV%al<MIh!lv}c{nCVXz6-Hhs6>A4tvwW~
z(!lymKNfc?tKNFTmH73inweMlzON4HWw|x!xK+i*n-+8|reFu3wIe>9D=u51EcHSO
zD#Wry*PmV2oCKeW*MFJbJtNafDKRy7f2aSNx84F$cSr1MZjp~AA?dh$5c})N9IZxk
z)HMNRb#0RjF_(TCg(1@>!Y`@UVdwT}O&wnwP^iUwUK?NQrVtwI>HKKOzVd+z5;0OQ
zTqGfUqC*DihNRPR)Md0M4(7LobZ+Ohk)B!e=h;iOM#HjPgm(Ke&eq@a)}L>aIaaWk
zQ3$ulBKDz+>~C}*j^NOf-{5l~u*2`{q7sn%9AxHD*Nu0P5&dMY;g3_L@AYH}WIRV8
z69B-f1!LO&^*r_i00LW@@4p8W3GE<O3#?}9_j{tFqd@|06n^l{Q~|d^?WS<&wI+H|
zRn^hFZ9(O?Z?pH2**)BYTX>RZ<Fg$X4Zx@E{b!OXviiS0*VbdFK%;Mmvhv>Q<%=%y
z{V#U<C@bH57hUAvLGXCozV1qtVY9;_yR}oMQu`6%?|F%f9a*jH<md4fkl$eWqPIs^
z7WPc%6jDoblsxkgSsvhZp5ehBj1?91;|jpI!+nOB@->QqbM>t_ine}~Grb7&%yO?6
zMYF>dy{eUT_#q={LgUkIu|TSuxt89)#@9Ob_2iCrRw45ln4KMmi6LPg1U3EZ*V}p%
zq6fjVNpmCQzTYuvjBf%{Pjw5p$TX;pt~Q#zzI!JHyTK?~uMz9*=7_M_SKv|3J&1&e
zIP$ebf+z@MnW^G8!=(m{3mX-jh+AlX5*ve55F!68n9@1C(?i>^Qn6q(`Q`?@=a4!i
zit*<LpYi?mk-3i_A1(t>h6DZKw=ZAjTfH1W=m5xc=&+w+-ii5b<zjE&a<f+sHWP!5
z#J;`^ErCtJLt8*mZVEIufOq`Lb@uOen2V#M1RxkcegdFd>l0P`?+I_!fA`_TYVap`
z6E4Fy#-aXTJc2Hj>^WSQ@oi-HV@cL^{S$uC7#;ebwdrEw9^@Axvc;T4nHVqY3uJI7
zscdQu>C4U;j$Sxb8!yFmH3iplU>%>xE}~I-Yq|c=CTwr46zf$zAhggk86re#?8<Q9
z!zqV`NG@V}w<Rm-yhJERz`UxoSVj!H$T*?JZML*&h~>!7*2GcGB)B^tK{o!`_zZ$S
zjy&k6ZGMP~10V+#NO+gbXL%y~FnNA7<kAc>lDyLI4g*YrF_fA|6iFf|!2pvDHiAb5
zAi}I$52VD8fjqcQ=Vh^-7?k##NFuE(pt*1U_i)RjU%gfsfs6U$KVca$__%->0|E<s
zC`h=Q?uk)?N1>v^%brv3n7;4f+Mxu4E*Rv1N^NDl9F_hT_>UDaAvhU`%+YXqI@mbR
zVgfBL(|>*YB!);48NKoXZ@KFbPUxA99P`9QnRWyJ`EFHa?5SZjO}uNJU3(y^Lf@qL
zcRXLorg!UVhX^uVTHM(u$kigeWE!Fdt)#T(Wlr1G?OT$YvvS47iQ8&q*xC)tGuNrc
z77>L1Dqx-zrAm3VyP*SH2}_5dfg5#rxq!u4i7K&L|IJ?Jm@wyzZU>1ooU3WENGju{
z-7AC!7TP~SY)d|<tc6tZ_x6fwW_Mwnjfh|I8WWA_^S<Bf7%}yoV>IGXHg@UmoIc6U
zl__{GjPeFOv^Cd;QPp^?ac?mZK>+sQtV(!!MqPzkr(F}_3^qfi=kjMn`4;l^bIvDf
zFOASVw9b{FLc=EGK*bjfRvgjY%CeNHjvQr8Mrrce?QONnnz{i~#xMRYPEH-NW)<6$
zh-sa|>0WAM{IIFG%x>SToBgUD&+z${cPJ}lmf7T24Plwl%7Sya7)K$R=|dSi;rFbp
zEZ|$=xaomV2Vbp!{`?u(C;CD3L&ss`VjvL)?f=mNVA61#w&@3~4Q}B-+8rGo1A)nf
zj8osdGYGsFU{~P=QfR;#_T@oH{y+8I)~>`k+RtwX@$8;iQ5(_`0$!AD_+`=eGX*0T
z<NqWVgIU|77`@v9+i6AJEk>$B)IXZC#`)9ZALyI4{?<>wK;4&!Ih3)E%q;VnTP;$r
z_k4Xr@#hfIGE8r6xyD|TT+3a)!i{iXrh1%2z~pz(Ku*BzHen4_%&DJapN+>XrsJ#0
z_qWBVj14zU-N1PdZ6-kcNFI1jKb6p1aj&%;A9D6GdyaBeo<QAOnCTDmFGdc-(_(%k
zq*zS**EvDgRo`Rh+I0odOD8X?GihqCILmw4pBEJRE{cJ$m9Ik{x+Rg(hSUKc&7N&=
zvt=E~B@kuJZdZ?9=q@YyuyK{nw)Lm!>zmK}g&jrg9>PV!mm7mk9=x4jhZpNt89Pku
z5B_-Gz_Na@xP~%{gE-vTRU24~vmRtb5cNI>B}gg*@?z%MJ9Ve6H04x;fG5|hUk4oA
z*y*r>zF0Z$(FCYQykA1SPVl$;iV5&4V8t&F*3@*hL14-HsGkC|VJMB7ILKI{2JHx7
z(JO>qF2#B}0x&!pmFGCPyE~7QT-pH89i*qsu0Bdja;%cCSO49wehWS?Cye<kOD*>}
z0RBWiG;n<95fVlkyn8CbJ%^hTltepu$}b@vGQTqZJvA9Oi6Q)Q&iyb_=xTZ@)K;)Z
z3KoenfX1!b)@GcA`pp^TyAz@wy7i#9?qE1m6s@c<<+I^R1P|jPsv&nWl#=SMHXCQE
z>X)PoWz0Y0NYpP&MzEmT;%Oz5?;LMi<gS=p-JRmpd@;sS@z~R|Y}ar01;vIbiwDDE
zUKa5ETgne0P(8m<<+4Dg6wB-9mVIIAFtgJp`QG|S4!wZuCemWBqfMc{>Zn4zP*6r3
z*KlR+TR^bVpNYoYi|RzEblM`@tKAZZe%S&TQvju=z}iP##^8;xn1_X2xTJHgh`A(z
zz8p&58v2!i-e)nm8{HXQBp7F!_^wBxIJW@0%L<SQJm57sFN3?{8!ov(Sxd_`NYeGc
zT90{z5G>HvL^ySG{~1;WZ^xu6izbLpug5L=2c)i|K++9_JWdw}^HKUic<%qTfGv+X
zF12p7cdzm))OA<OZjVdjSxxwfl{qmsb3r7w5~nuoMGTGw3Ue&~SeR3iGoExECk=d}
zSJ?=!LcL0#ycSWQO^@_OAK*ArelPlyePL-HEr@&Yop;}JmgE=PxffYG;j{kOte;In
z_BGy*SC`}FAM!TRm_j%L{;f10oINo-L>aAh)}hZ=DEalB`R9rT|1jGroWWdjjvxhl
z>c`gcKX(n)+nZm6<~6l>VSR$JvAJKRx74GgBl&sCGI_8z3O{}_m0v8XfIxFXod3*=
zsN;@c?|_hy+TSQtYyQ=_&ayb4>eKD=tD7!}5WD$@P<iE!B)O#KSpcCZ7^wI_{LEsT
zp9g?u?CtM^t9GFZuOQ&4g@07!F~D8~c!D1V7cfM$D`}w3m{MiQt9RSz11YXlZoLEm
z0cs+Pv09n91Pt=v>XDgaK6t0Q2L2iUA-2*Alkbg2P0o#pOTb_``^_w5HRy7BX2!pd
z{l5#WR}pCW4BgzgJUfExLzuSDS$DUHt}))Tn<FFE2g%U9hpA%bk-V<0Thdd5zx&h3
zA9wF|Luk?BrSia&Z5O2({PcNP%52!I+P6%bBBHocLpM_YEA{)z%BJ4^EVRwLm<jw*
zh!-Lkp(%+3!DQiqX65xjo1I?f>zKj|6sqmEB_tn{8>~3xSAMQDVYBeD_oW0O;%$x!
zmJBmie=1%-UC5C#DxtTO@s%L9E{ci5773FUsOsX|m?8X$!H4v*f2UMgr!m0!X9^r9
zA3#}=X#SLlh-%wj4(qz18ipotJS@u4GddVY7_iGjqOkDgE9F&);D4vdN&V3U%}$3m
zjU7=KhvWJ0QGdH&JbyidB7u$f=Br*bf|=tqumX+<ld^S*X+z>|Bi!tkfSf_{l~4pR
z9|e{n)30mF(Q#qwuHQ!oAx52%_x3I{<_vcW0?w|%WV?PdG(*<Mijcn$dHEs;XXvmm
z9%SSqX0hw5e5xxogwPZwrSbu)V~B9QSFbVV6kfcAoz|!AtWNkAc8@ZK_TB%b`-_F|
z3cTye#vflhsN5YP&o-T#9B_Q_A&KtjF&D-imBYkqM|V{>P*B3=B*CEC7Gmu)Tf>o?
zL844Wk6uF;X(zYAEE-#v{qN9WobHUUkJ)!O(`nSZW3H+6UWa>U)l~de{G{k*SWK#e
zQCc3U+4GMuk8%Z>cTLPNA`hgHbo+f&Mi;Vy>iq(@*Yl99&0{pl?g~X){X%K2Nz7d~
zjw;2%z-Nc}20u0zMW-FLp(_P-)~D~R@C~B!Y^gi)RS(?M251X_+yOJh7=GAuICggJ
znrZ<Lmu*|3Lp?{ddmZ+^xB*?}N`9ANZHY6k=KjJc<XU*=I`y+>l=QV?Fotlzdq(p6
zs_aYLJACq|TiG}5_6aM02HyIytp>u@x@mTtZ|V-Ee>GWnp^At!@{ji-2xD<NzHu0q
zMGe3yr}mM9W&~f$e*DRC8o#OXQuR3!HTeay$iLOw(iZjq>)$dC+fiYJHa$3nn27Cm
z)>?AdhGPuir%pz4TGrd0$B`l)A*_F7LFQp+mi)CrOSLf*IV3|p@3LLSUOXc00~wmK
zhc)1KYQ3<4-}D)jsM?}TAQb(;Utm&{PNVh9p(}V3PEXi!ep1IAT`0t3-3lyMapFG=
znre~K{NzMjc++c7<0MBgYt5}2b}Jln)to;>XRGu{Y0u&f1b+UBjNkZKG6R1NE2DE@
z?E{q>x-R!`>ZsoH)N56{0;Y*n3ocDD4D{$beVUQ=+e@`6r&vHJd(>M!uIoS^F=oNz
zyfWLw`)P}HcO(W#6mhb%)31AzRNdc&C#~|ozSSUYPPFF_k(WtWU197hJ^rzJ4kx}v
zX7vifmErWpn8V^g&Rjv1(B$?thjbENl3BSRn)-Em%Vf?A$D~*V{Nm%oTLuCs|CZjI
z?*$_E_2}C)xNTS(8>zq9n%JIVF~Qq=tm&_ahW2_kx$1uMLiW1f4>(yw51z0rIKF;{
z`+D%LOA?Gd%p=X(y@Sa#-%kMpZ#2Bv#$e*$7>0-_eQIH=KoR5SN3Kg0ZCvSUcBMS%
ztRF-+!CzEqT<BAv8L~0)LRM3tDGGxY%|aK8q+`G_PI*^!cEh~f>V`j}SNx>pXZb)x
z?>dY0_28!zsa9}yl9>h8z*Rxr@ZtTFpS{0-B-~#9mG*_3YyQKPzN4l4@7bup3Lo9u
zrBf>>gD<EDJHKAxW6a;8BGT6jw3FZ2>9&bPGfgFt4kX{IBVWoViC)dbIn>GZ?PPGz
z7sYATlK2v>;Z^Fa>$H~Eu5*`ZatC&c$i6q51Ppnf_v;YbADDXaaHy$p94yeyBZ7nD
zC8-Gf)9xE9Y0$6y_Vw!gXsq3BwC-={mRc_42lPr?e%f@E#tn?OR^?z9GRV5$c#bAa
z30GNIX`elZNfPNa*AgA_&?68Ww>G`NynGuu!;=BIBZ!^!6(zm`s=UWL+cw{C8yM>Y
zN1pW?2Oj^JHTL)kJj9D&t{+1a+zet1Hu_V{z_kvN=a{wgB>?24W&EY>QT>!w04Q=n
zxg_cfUjy+TAizWL^g$2%e`9V<^dQ~PQt3n_GLemOISTTIQzKm4Ve)F$a;`n<rMGm*
z-(dYeIw}O3hML<h&ThOR)TM=8%ca#~tuhXwGc~C8#I)v&r8ub3qZhH`(L=Nx?#M<a
zgnNwS-f6e9NS<2ps?Uk@(S7_aU!fPcv0S~;-n4Z5OI3%-Io3w?MC@pGnqRc31!tgO
zqNm4+HWK%xcx&EgjSd|m22aOPEbMn=uoL@-lXB>6Xh7%TUwMiZ7p;7rPskAuk&)Ul
zW(Lk$PNAWb@9%lLHQ$M1-2*wk8xS&97`M2Ce7(nPIN-t|$Uy4=-s#513*fM(1Y>^S
zbOMiO0DOy{XSk+7IzePOQ1->(bGN~}BXGs+fCkkfMe%<}FJ_z2z9BqRSb8}xO2~J(
zh=&J{>)7a1Lnkwoi?5<cbdO8ZL}5$Rt|04@n>d=*rMfst)(ILju9uUAjhUh25h{9@
z<;Ly_jo{Y2b5&^eGI(uJ+Qk11fkiVCCBtTz?EA!XBU;**Q5UZgQcNsukT9pB8a@~G
zQg%5VRg9*#1n0btkdS1Q8~gQx7@FD6AM<Z~!(p+2`v^G$ld(pk{4$D`p1DA{ibZe4
zmRC#(;anpPv!0nVi_fHR<%pK6XO6Wy6d5VU5($wf?fU>j4}At0_SUBl95@W#6}}Fi
zO&>E3qXG3cEDY&!3DSA7;81Y4$s+7HH(qHZTnQr^Dg`QK(MVp;-SMaVZ?K>86}wg{
zhjngc8G$?p5CMJy@OY2Yo_tY{H*;1KqSq{duTzGrPqLg#Pc3(4sl>F^t1pgVkc>ud
z+o0P<XHw_2)}y{~Ba0X}VF}MJaVEPxy`6<IF=gl7=&bma_uA`xD{g)EgN%;QZj(vu
zjlZf#Dw$|TDj&i4|Hsx_22|O#UAuHQO1BcyA>Ca{gLEU^-OVDD7NlEHy1PLTl#<Rx
zH_{F6$#dV&`+j?W`>*H^*R{CjJkK%4F{(Q)gs&~+u_V*=n7;LRM2`n>N1%sW_j!(J
zJ$H-jyWPn!?t+A9!W@3+P46lf%eo|^{qY7<iS7p+4({&(Zsbn0F|GGDn}PV^Mn8Ug
z2xf-cH1FPB>KT$HttHuvduz-totAXAqv{N4g)h~AjpXW9Hp@n0kM4et3&C-a*e(~#
zT#l*B&XL}&LAhr6<Y%uapIU#&n<_TnBZdhpBo(qkNRSt%h>}eK$46L$x$>^_o|KW6
zDag@7K7;W0!mUy13ESmyt<B6#y8dlO-CDHEuA*Rdlg|aJP=%Kk3Rh0Uh+Lx{K&AzR
z3|xg5>Li^knjDeNJGr|tj#OsDp)0Y*vw*172}n+z?~I!PxFK~Iut7gTXN&-V?!pm}
z`hfNHAp~w^a<UFw)NdAys!jXf@-EeRovazQ`}|7hwgr89bC;bx|3*!`$ge>VyQ1ew
z>QcWd&~qqtuI7mGl@;8~wXrwLtDoH~v(zKLD&RW9zZ|H{aPCaPcxM{P$>uOhnbTTh
zf_(!O^D*3^sCN1MyODA}(yQ^cdmF_5A-8~vt0E>%?`3p(itK!jCAy|Mv9>m%Zm##1
z{ZGcq56@MO;WW&=dcw7!MU7AKbQG$fXIddrjFmw0g3G38`<~t4e=H3*BbjcDGxDfO
zEcJ5Ab=vv5BXqkk2@!q^GfEew{N`3N&DpDMfwpial-Wz0VI)y1Y`SnC?ru0z15VUf
zSoKaVbQ}JISQxjsouJSLvPaogd_gyS-`Z1Q8Zd_kT(zz|fAj^cmr+m_0P3<2r%Go4
z(eH{v*yowV4oLNgfKMCXQRBcL0EX2g&MgQ$zR41}00~KJ2M3YWFnph@BhVqkOk6(n
zuZzaxXJ_-xAun2BZ;PzbF_}v?YlUPdGk%#-aB3sUdG%SHx2SN3wCSTzCDS@H=Ky)3
z%GyjSO77_o{5<=<0H?d(#%-md9`o-pP8B(eU9VQclm7NPL%(hXd|hHhz4c&M{hcmk
z?9q}`P3D0_5abpijliuSWZq(9yZ(bFxJ96m*=b53_hICPDs^>3gTHn!&da4BTT({5
zMfPW^apkw&%BoGpeEu*RZ-)o2y761@7wFFlrbaET_xX0(yIx6~s5I82(9eHG97A0#
zi$ga_LzE=NH^(+%;p#%*9ZrOo$D|IdT9nRlzx)NqD;WEh2}>^S_g^M+h-!h1|2pZ)
zHK@XD-)DUS%$iZ^fwnqOK?G)Vqr=)!5yceducf6KAO(1Ta|Q^CS)gn4x!eITngds2
z8>klrblKvLjsO6dJ?;f7ohJ)5fY$#3oz(zP3l6sQCmY)a1L3scJ#hWcX<TRER|rh$
z?!+n;(7W0YSYd77SCHT``h>YlE=SVDTXVJjF2V?x$k-#$u*whkbtX0q?0*wtG37$1
zojv-~xFfIm*5T4b$`zaqW`5W{=ZMq!gn71quUWrW16N7M5;S5n*pFFTbI5sI8jj<~
zB+gqFmMeKz)<=P!Ym`1fL+cW*eW>Var1vY2jOo|3DBJ$gda+9SJSO`hU4H&cGI
zJ)cc<8ao0&OwjVSs{A8f+=_nxMi{RA*J-?fo-gN#U#u6Gz>8hGua{#HJPza%w|E?v
z&daSoU7`FytKZw(Yp{>8bi4iUjYdNcr5(lxn$^EbO(U_B)psEf(zP{;O#4+zWs+~V
z^(r#|R|q($Q9jOlqhfPTCRT8#7M|$d2_g|gP0GT8AQrb-Q@Hg5FA{%Hmsz4Jl<*vL
zOC83bToo+p%4NH0HDtc`+o`MRdzFhI)YU;YP0YWa*<XsE;7x<gX1KJRg3tC>jHHmJ
z%M+80v)JT9(~4wlT6xY*#rhe18kSr&lKKvQgy1_EM7-hG#EDo=zAHgJO?A@nv6eS`
zwZ}CDxH|kK9%MBaUGy~Xpxpl~4?uG|vM^&>-_)IA$8a9D{Q^7I+n&a{M*N9Vl)k?O
zY^#6lC=g-L`*mQ+1BP`Lv-*Q2`6a_m{0g{!kv>utEwH<qE1~~UmLQN)L2wnLcma!%
z7J(M0$>u&-$MP0ohFV`jrNmvg_5Oq;1jP`ksWUT*zJbEU>cu>n57Y!HOcUxYzbB=H
zussw<^&wsp`2n<XufC5hQ~2U~U0LsjahuolRk{nAr*wVk&*%D!Lp+1q2IuxU>H3s0
zjFRxv+ie_nj*pZgk8MIabq%q)PBUMFUtI|WqH(fC7BP?0;H(CFPS|v1ifD7H!zi;`
zcDMZ$KK}UeBM4;NfY-*%;^HD$C6D@TalO-bmInKSb4N6(^SNbDWvTyOKKx9{zoK>B
z{`ei%(ThY~gEqPS9i`I-%_s@3RJ>bA&l1n8RX__?!+wAU2L4-C$S$%q*`qrQeh=be
zM9;pG^{l>6$(gGz&QTp?5<b2p)3v-?ZCmBJGfk<6edJ}0bdT+-r1Vb7aUQ3#f+rHz
z%bGd<_71gFrFZQo$dI$xIoYvNX**>0JbCa8ew2yR5HSc!ADc?xcU~}9<wf$22qG!&
zq2=O=e+RFd3e5a4>$79IWN`wx<}xSHmjzBuP*fA=xA6k}r#(Sxx>)4mt6A(T^0#35
zy8M)w05mPTKdnz+h$lPl^>eQZ-Qqlt?T!~LvO~TziCJMhv)QYHqapPDMK3EFr)^n$
zrHO{iPYj2Jt$Vg<Y^nrnYb5V_(O%QA{!sX`-MIBq6HY`t&Gip$%Yhwz9?q5qJ6_<N
zYW)B=R48TijCss5dG@r<XB2e<;jslCjv}yc0G6ku9QD#`wR(Vry+s?!e1)SDiEw__
zTS8DlfzBsrET*Ju_(v>M)=vD4((;}_j7ye8Yyq<orAxw@3^z)M1h+xeHXvlu;hsQe
zJfVkTh)TB2=BCj{$%F<2R!A6%oeAQw)wh<VU6qFIw<QI!^I+|1V376L25zL_&i-`X
zJk_&;m=1VFwu0)&<JCg>BrQN_0xhlJlzNJrQiuIk5<CQTRr4S^2NXD9F-vQX%Jccx
z*P9Dx)DdlqqtX<{*z!phUs&-pTdub{2Tv(s7&}8XbI_;%`Sa^&79)zR!%s+W{+6;E
zkt1WTg?k58(Pd%^V%sMl)C8wK)+4}Q*bkE^afydD%l7VGyoDF8s*%Ox&s<pW3PakV
zuTE0rLwsfzzy0Nuh(@kvQ+cC03SKvB{S$7kiDJkH&dMspo683>VjgLoE0yovM)<Lm
zZAvZOeKht;QdMgw3qO9N7U^5{(ioc&KxIO!7mwwFF9`+LeT22q(S?5GCB(`u^;#x;
ztkki-DeFe93592oYLmg(2;GpD&#T)itA!8r2D$0RR4Fqc$f$pLqf>3_8SqQuq6t)g
z`QHp1VfEwO_CU}HnE3#|FdKB*#;~?n0S$;cj76{E{Afuq%xN{8kiu<De0|`LA=?>z
z=u^I~;9K`|FHx^PLC7W(mIC?(q!Rr;4|WU(+BS_{oV@!Eoi>aDEj(=)&|{iBI7ivH
z2Z!KCyKf)}QJQ`T@#)KG`$9~5Op0)w3S`x~%qt?;+E)9>g_~mm<sD@kv5Q66wC=DN
zaw$5$TRxJ-;gW^LJH!+21|1kFZE~Ff$xCId@j!#b8#6Y(PySUUs$3V+#T!di&%rf1
zB~{c7EY<O?v|4zy+)G;JZ|mG;KO%CBquRq+^-0OF?z(n~prz9--IAnmQLnM^7tIa2
z@q>_^yDTuy9Lj_W3O4)ua%*+xNu#m93RAr$-`EPPcR@HUoV#rV+el%Md<lX33t~?u
zV1fCR5_q!zoU9K3?43QBt3kk7{M9iSm8|US7D0?-IpFRPI2g|X0vVNh(Pfwgu+FWm
zt-V2VK=ff(c{G!sYqi3c`Jb1%4EILYK5sDDzOHX|kkU)iz~?F)YF<$h?vK5S#vfp$
z(rd)@2iB#x)NGh()FtMrOPOvzF)5j4H%}mvZdfd=ZjOu`FLZn0Mg49vW5*w&LD^{z
zSNi;BjhhB#gDSx=U5{QyM{h?JkCMu~GM;0@2hmNdmx0u>TEJh>a9qU!IjzNAuz`V4
zLx1(AE9S6U8x^(^2N(BwPc8QS$+1wAz#79ktilvdOkX#*38oiG%v?{U-u$be@lzp7
zz5N9qbD1j~2M@U~OwcesCxesToD5v*w`>RS+w2XnmwwwweZLck#7v~W+Ue~4Jx%Q-
z15Iau!F2#wIIBr#BZ8GckbMdvao@Bt9G|WNVkX!MH-b1PDA)n7JXauRwEJ9uoA`83
zIQrF&!XL7K266c5U}bgkEZ@$&K#}U7iHLqIsQ1!aG<y?sv9yMytFRtl<j;CeaS@hq
zM$oEX30DMsOh0F@R(UHMJkTpE#0jDBm}Azjk3jv|#{OCKJ%S6HERj^%WzSS|<gK3&
zsZJouRk*$EKz^@;77w3LLijTA6)ddxp9Ar9KEdgTHKUf4X5o`l6f-pCu2tlBQukPG
zec#lgRAHtuNmbME5*ww7W;m4#*VM7=o&VZYtLF~D>ZUUr+dqT#>vs|qd~L9cIqVO!
zrnHUlI6p8F<z<qR(j`BhGl<zuOIy7235@1o?X97%?g|JPPsmZAIeg$6A>wn&H3~MW
zGVTWI4yE@-0tjt^uv{MSj8YmScDTxVQh^94hUbX?>J(wLv_f=Q6>i_3V?0Z~b{?<P
zwi8B*H!2fM(Q9;W<|hi}@o4oq#Rc|M9738f;nZdQ57t+<&2H%7{4B|A3afw9p3l|`
zeeE!bAc^N_)g#DVqHg={({IMSI+<F3lq?kU@dCw0>4FBk@-Y2jVox)~nhy3^`AniB
zs9@~UIl@zD`tg3i=fXPL(%L<BZ9d5J)uG7M`KM`_ob|55XsaR$!n-belZiA*Wv!$0
zHA?nxS}nqKUl*n$*<r{(!}%+vOgD&xziAwJqs*sEm|de-$ya6-d@&$e3XfwxF$CRl
zO@tVt*WGe_DKTq1URtBwyQ)erAggV|A{P3%N?Wuk)o4<Bda<Q9LXJYMvw4e`J%+Wu
zswnH0=s&$BB>Ck#agnM-_}DmX#RRcJ^pVb`C-v*k%5{rsiLB>V8TV(zd;Xp&&hwJ{
z7#eR)>e|}g3?SwTN#2N4<Q3AFiVSM-s4NWlzEG6EIK9>`$<;_db-P`{tar9WR4VJT
z?EFOrVnU-9sRlfNXoAxNpmn}r4dr*YuySeiI5!$_dAZ>DcOtc868L_B&vzYY7A)$b
zrLg~m=_0W5!1|lQ$0DPa+yL*p#C)*mZ~o&HOG9+?MHaR(EmuV;jKHtI_73aG=r4zM
zeRaYL(ez?yspL6SWm$|K`8BA`jZHXtu-7*6z8T3w--o>Z&_SZ~-EL3<d!U=x9ee8Y
zYgT_E7HmNRRZp}p4~q2e4u$OqU+@Ou*0=C>YGRDNB7!dY41bbMht;BsBp{C~y)F~R
zS`YAM=R)vP%e@)PLf`H43Tg>t&9%|(ki<Ua<on(4KJ=OEi~NdGZWP``^5*cj51B!g
z1d8*NH3ji?&>P%i7g2QKD`QC!xra%F%ni;2RLU(%)Jz@fd04YFLgRoiQDlk^Tsw1%
z2I_PE`S5?v8W82yE=i#Zsl<|4sc7GGHkD|-4}v@wYZTHjqxse+NQ=>#Y`q)X+{wW3
z6;7?^iwXZJy|G@qL>%5v;)aeU6op!p@Q+NRkBm}6CR3sZN=q;<Y%zHI7^+zEOexq|
zQ^t}SB=l0gwGa63VhoZV=P`xMb*FhgXh1|X>8p9}X<vt+7}wYi?U{PKbs@Nogr^^8
z-PMmyD~_?WfOiQ&PC+jEdB%UC+^&5lTED?@SI$*Iar#%@D(G_5wE(ZtS(4_tuf5(!
zy`2(YRegIuaXA{gjUlcNhlF)#?ys=2_#~i(VqL#yn?WV6TuLW96)968VeoJIT950;
z_Dui51pa>&!_80;Tge?0iB|t4aVKHo_k+E>GzjmqrB$Yhb+lNOf8IsQeQ2Dq;p284
zsrYHTmr@_ppsuf|E-6w+t!Z9lhr-vGBHE{6{LUahu=kOQLzOFu22KZ-AjIV~SW>KC
zGbO$=zdkEB`P;J@Depa`|9SynyovdbQX?MU1Qu~%v3k44Jg1*yWU}K?;4bqJ{brLS
z1LN?z;)m<CeTYk{EANAj$VTtZ2df|%1k4O=Eb!nWQaWol=98b%kHArqaAxyXHa8wa
zM&=Scu7kSP$+KBh_G&k|@Lt7_JX~A1iZBo58_l;3873BR{(rr)<>`l&1xRewls)+R
zmizK31TW1S@}2S{jbH3|U91Pe5#~w5@O+jDo{_`9Pm`Zofoi4Pcd!*h&@Q`o-<+LM
zxLyx*@7*uf=dZrmFUO#{?Rv}8Hs~bxt&0p--#`QtP2?3D0^+LB^lKW1mxt*asD!X{
zGWexgbN;a0l$JIhC?CUZ%sf|#Zh2dC%aGKuN}3detI9C4;E2hxl#xGqx02t#SdSZ}
z7sjya?zOQLibdUO>mq`@zO-n%gZgYWe>6QE<6dQc-A}$auf)~9!ZO+~O3Xo2MTdyO
zsR4aj78-X2;q-tdODo`iJt32*!z%p`ZNZ)G#~wi|06_e&knxKeLZ)`@1Zsp<Zl@bT
zl9Utt+oypa#QmwmfO+p~0HBjVhYf%MxdG(mQ6uFn)~A21xW_ZWo{6*0h$6U3fpkAn
z!-)F{*kgyW_0r@^ubg%c7KD3r9>gUq80!`mKCQ<psVnNBC!+JQwHR8b?YFd%@O1WB
z(~J-5tIESSburUsMDV3?OCih{zAEvXuR&Mg8zB>-h5e?M_WN_{bEPaw#$#MY6{!c;
z;2n4BFk8#O;$vBoCFT=WxRNeQmv6EkB&F0er2=0H$oQ5w8^fD9(O?PNl1$HEhZ}V+
z8M5w+cTAm2=KtOIf@EM5wJosaeT9=CX#)|pVaUwN$)W@0o;l6oGCczXIRM-cfI-`!
z{@X#v127_8{aFb-hIRu3BtGIJm>`}iZ$agb4@i?#f}Tcj8wTxM03!1O6#9&Vq|#Fc
z$1(730l-~{mw5kG>5<O6(C_c}tb0ZtFa`eLb=&R*s`*9*6vS+lo1L1>HwW#%iw_(9
z3QMPEvbm#uJYkU*>f0$e_ElS?rg|u7faIl?XoLIG>nn<vy-8x8+C9IP1!#X*kho&c
zP+X+D={nX*Xn9}r495IsFt<<+<3F~ZJ-8<y783hV93#m8Oj50`VW%Cp%mt39Y+&x1
zo5}<MqaSZjhdRI-vlv&L@>PRFQG~lH!X~-AdI4|san%FQ8K+A(!*RHaGohgus3clh
zSzHtXa}TLQlL=T5fv9R0*cyRzh*Uzm&T5=CRlf#&W&lpO4Db*juz#ViDF(Ji(!q{a
zR(z*}FN^{oF2G6!_zf=)7d-DS4?%%Z8vw07ndNYLfV#qK+7}62q)cbUv0{cYtWRv)
zFQksR*!R@QW*^{PM)=ug*o^fq@2}*DLJo$iQp#XX%bc8Ege>0X7AsD4p~urtqePa|
zAT@?&`bAZ>Tl;euz9THWsIIK^QU7Xwv3YtXN#J8y&lBiZP;V7h(lc&7Bq$jd{h%fI
zj@pr(wN55MCNv~3uYqgnHo0LU-!#1VwZ%d+Bhe%@Ia>7N*E+bIr~pLG-xJkeIzGJ`
z%XF>p7X^tu6dfe^!YYEStiI;jZzw|NShj&YY@X2#Bqr)gm1R!p>i7^PjHa<-8@ACQ
z#&H|tn8uE%X=qqH%P#XNp6-;bo#$+Vmrv!wNt@rD>523hBUYRCTU=IZZ_m0@N5Xn>
zQW(6+M-m)`%5UMxF*Dx=bT^2&o4vG3@|dD9caGUMH}e*{bEU@@?6th*)czn7TzHTp
zoBtBNJyi=Gl6SbU2l0K|^~{aW19n<OPg4d^8J?<AK*8;yYtG#wxB&-((Jk9`gunB;
zpN&o_^BUlijGVd=pR@>2==1PYJd>=hq|@%>zNUFB^Yl$W?t-_qv5`P|;;(^fr3c_*
zq41bB0eOZA&_;$Ocu@89lP5#if@5bp$T4WRq2Rb+KV{H9zGgnh8LRCBz7#o%R5UiY
zXq4M5`<r;<^g1mOd-?}ff4M?J>T1o;*gw2m%lu?F%^)M=h6lSp^`?-Bl}kz@Dc{KM
z4CYaXxaX@3$64`*Sp?qTJ0M0ika`;dNSh|g@MBT4Qd5EwvtXt%84XQ*m@Dzin%Fb)
zJ{>Oaa271`sYSzq)()+;obY321_6$!zzBWk#WReU=o4eRrYe)F3>cT4!HV(SwHo}@
z1!59`{&#FC;ZnPU3WDrznT_!8M6jnr`HzKEa@4<fNr_rP*J;SWu0q<h{l$~-@s<*K
zKlrK4%goH|?b}~T$|BxC3=;z0N9r)}Sv;g!W~Tuk=+j~qh^Uyr`g42-s<g{=>%TQL
zfPR<8-xSy2g_8qTHQ`1PIDl=D10qBLU_+iG8u$o!EKlkJoBysNSXcD}^4%!7$Xh-_
z52c>~fM#*QXCHgyp>@Uz0bgLPR~>KFPuOS~=jtY|W>Q%b-o-o~kC_t9nn=qw9_3wk
zD2Ryh8i#vaS44~XN-OU?Tn^WaEI1pw{XP7q;K;^ADW2YQU=gnFIO^v#L{gH|%t6yL
z@$$5!FtH(aX4YM+Zf$|>5y~uiPmqlLwsc@o^Wu(!a;f|;+fSG&fmqEv8jn6Vhr{BO
zpyRMd=|Cv@&RCKxA6CL_H#;V2#e_n=jO)B%?72sLk^H5&nsEYy(f|Rs{8H|{|4u+q
zqxAIDXKLS4#rYk7TdSovWPkk7lTF8`>T@_hA{70Mq5J!lBU0-H!(QLY(L{x)?_vdR
zsH5hv;<rDi(sfn#Jnmxe*)Xdq$%`BC*cu?~v$99Gsi|ARDTvFGP2q|^HuicsetQb{
z#3ILR;nia);+In>q;xw=*N(?n)w<TI?hhrmc7)sAk6oQvoxt|@(D3}i=|O}g+C@lI
zpDw^aYm)}%AT+}hU?6e_vc$0oNOXZ$n*<7o{)QrBKQ8?VC}sl)hqZU&=le5`z_0r2
z*ROD#TVSjsXgXICIspY_LL6aL=06gF8mtw1N%5a+nJ})(yX}+X5l53C|G;FM=PDj^
z-)>Ebn%h2V81w&R-48si5H;rCL<wNaI3Zf4QwaNb9`Pfe27hMnge`)5@6j^*y&ZCK
z8SCPybAQnrg8I#U_s}B$ahni<2us6I!pevrH$rl)?N{X(YIyoZ)jE;PzL{8SERT8R
z0eDvnsNsVW+L#CtXe%#^A-6?-z9lXgSl5BAf7r^I5kGsWk&T+gjMQBy3?z-G#O@l@
zYArU~2+w|a2rp)6M?sVx&Gl*3{6mdPCA-Gqf-|vzn7{Bdw_{9;>nP@fcFeNBU*M0z
zm)S`TxidZ!4y(xh$eEh=QX0273Ma>K?ah6Lxu0Z|O0nuq=iE5?cs)s9t_&p_R<c%?
zx!lSHHkQDMMxWagx7@1uOe9)R9-3+o8{AR}PfCOfeQn_}dHd}GdaEO5ifyDA&#k_4
z$mV%4?@vgS@!si~9t#w|IEhsQ1;G7?1U(J_DpCZTGr+wH&Tkt)Ms<D*+#ZfyL9m^-
zQ<X}f&>Kh~Pe&4Xv}n}8{N(|D1ZJrR5K^Aiy7u2pfQ&ssy@4Nywi=aK$6FO=r`_}Y
z>k|exhWFxobOHQVa!%6>J0kU(G42CyLpnD*sio8e?VQZNt*@8WY@81-_UUTyb>R3r
z3tHiCmT5}HnT;PJg+p={Y4Q_kEGHo+Bx9#mfAT>HR;8eOk(NjdHq?vO=v}N<Q`JQW
zjx5u*1|*VU=aYAv%uS8zIfJu;#sYC*px1*EIm}w+Yw9Yy%dxDA?qM>g1j#bS7Q+Io
z9)Uo;%k(m3e?n{I6knVjq&(hbIJ9@{r2Qh+T8JXK?}FY%(YMcI)?`ULD!28;+9PW3
zpu4$&fF3$E2+{ukp+@i|v}??NND~^I1L`o?RQW%i<#Ynji10fgB{?j&c>~PF5vVQk
z_kWluQj|n_Dmo*!%mjbKkqlriz=$dW4FXw_Vo-8o7AHJCG2t?;V`<<%rHMEY0QnaU
z0Wt_fA^OrYD-u4>(JepK$4e;=Kc7M2F~H<l9u_2>I1uj=YI)tFbu($kqRJ1iB8W3(
z{4IVe|3zlGI=YJr{d)|T!dHAh$AdLHjNu}4dkCV-zIQVU-EM@P<ZG!!+y-?@Skk?=
z#+|x5r#+Ry>7p_;WMy)$KQq$W8mnSLW*psI=!uG_h(;>4v<x{_Mc?=cbA|X?a}d5K
z9>IG_ZkKcCaf*k^R%%R(v6OO8al<1$SRxGn^XTaC&QRp81v4^XU6XSMuh+9={aY)e
zYuI0`4dM<p!93z4bo;!!0>r69-4Z#yQU5cS?vsW3%}=Y5PNKhobamrd5mf0$nH$>(
zw$s**KjU6&93M*j<fdnl)6w8tV<k30;m6W_)qZA>p$+|o_Ih76LQkuLf}u#WYc9je
zW>u}yk7?rh21HqYdh_5zF3Gp68-rU93`x>&DCU!nY(u(r%_PQgh{9DV>iBTqdyA`4
zdlJojh!=WA*BFA(g#64c)A1??2<DA6;B;B?NZ`4}noP^dqvH~n)f1opd|PshXUL~A
zsk=-?1}WoH;J?<5W@qZ%t<_Hy|A8m;SAXT*W%y@);~hcfG%O?h(;%7(gg&OUi7JaE
z*<96EA90O%8Pw32Rj?shon!q-ZeTi{pDHCI{#S(%Bk&2<it8U?p|lxp#BUK7FEt;g
z;gkO=CRizDKAD1et+>o_r@ttd`T3Rcissl^r{(i*rS<9$C7UTo7SG?@@bSsMq9G85
zOJf>+MZ8;9LAq)?Avu8VV}WRS9rrdFMLwG8^_Q+lt!z)s-c$s?IumbutFZ*=#!#|7
zVHb*}rMJBUErvW3gz#k`_LM}e`1mmarB|;OiCCqh?3|1VQK!eQUWZR0`R_7QnFH1c
zVvaVV;LByb7a;`EeXsHjxKjvGW8us6UUmurt6by72mYat|2*aYLA~o43h7Hj6q>}0
zOc#P@YzQG@%e?8|WMR~Qxwi#{Yp=OuyCagoZjU5frErlnl(!y;2R;Av4S#-7U9){E
zW~c(0ToQ}WPg6X*=oG#6HZ|W}#$7^aR`>onwO*TFOKxi9`0a5rpE)0)i;ym3O}yJq
zw<D9#!NlKbq1o14|8JaFHKEs+!3#J%pOJ2#;iY;>4YU8zO$qMomc)JTEld5@a>z$%
zi1Qemxr~M0S1MbBX>`Kg{sT@ww`pMaiJM4F;N}ATl))#<ae+=@dFWB-TFN3VNb9z=
zw1Dgp_+_s!@CJ@2rEH-apz4!z+dS)3$*o-xo&9$Z*9~q|ODB**Xv@wNnJ$l^!<{z%
z`3LSf&x1`^TFE8e13@*Tz(J^XY<)7SG^=7*f$Y~?_e8*|=A)*MYBH=(P}Oi7gns%I
zVDYw^gndem3ayxjW)L^Exndu(s7vZ+(U(hNtckJ|h;pYApQhY7Zr)dDCQz#XhTe2c
zeo{#KZMe5NE&;3qPB7HQLsJLgK9UHTzR915wv6X!C4$Caux5O0e<+%A3=6TczWHOf
zFqYpACw5+CX{jJ^dOT4^K?ta(sAw|@7<CMN58XlO;0CxA{8ut;6T@=YF(-f|HZToC
zbZe@akJ1Scd02zwFSKUDTLj!>#NT(kKB8mji#+IGF&{h1y>UU*k(cu=8T`aAU_&;<
zxcUiuakD6uqt4Quk5TmC{=90>U+l$~IJnR7Y%RQPF`DY?K2Yidom7`F`{R%bY3zE!
zJ9~sCf#iwzCiRt(++Xjg-otr?h|k#4K@7RQI+;MSijH*fFS6pCj?@8qAOrDAb38=O
zktulgf~q?{h+e6u$%o<d++#0gvSjezKYt(pfW?7<=aPGz@Z~IU5EusBY?fBEfPzKU
z;w+DO5M8bVR!BhP0J=jhNcjN_#nVb1I17e8F`=hoP>QtWc7g2s4H)wL{wd1f0e&x>
zkanSk>~|FZ?As-oj-!^NIAMJ>_?nW-`i(NMu?rUYmCI7zNyP?pzQzzJsj^)new!YN
zT{vR23b_@FHPITh$<umnH;KobP_(b5i)hHCh`Yz39P#Y~b#H~=LjbNltdg+k@~ZEU
zK+A%S5PsqKOZ>`Dlwy}`X(IM*Df*~ZTTp>Ogv>|p@|F3p@IGfn{0utJ@!*$21qgI=
zb2gDW#0<4HEIq1;@CYq>nRjp#*xj~y25K~M_oXB0$3B^lMkBUaC8edl;A$Qx`gjdA
zhd5%cEdc3jUyEi!L%UC5(F2wga)~B@OvD!0$pwlIz@GufI4cM_fm$!$wJ3VlmYsY6
zsDCDs37~f1iVwnI%1=|6A?WZ0{Z@yYbC+$WJB#Dwg9$H?d(|@@sb6}e6V$^PkcD&o
zI9p>N)148nV*tc@eOOJ635gHTa7BfH0PoTtOqhFnI6W6GDT&3KctqD|H)qV_&nnR>
zx^*g#8^2&=Bhjaa=qog!sSZZcGbb=-sXuDhup)n)uE52AmBgh8antx)pL(#jN;6-b
zY<I8pO~{|nIqrHcab6FZDZ$Vof!XT{B{lAm{p}|<aB}!j3{^tDb{@j%6~=}*2Qo*n
zH8;BYpI~bTH|KDOBe|zr^yfBMJsjm&rSI#U5@z~%Gn}&&4yUyKvbor;80P0CV*ZSL
zVcx8NCH^JOQPPXBS&Nb{L~U+TQDM7~IW%K(a)BebAbE@7?DxT^FNXF-7aj=(BXvG6
z#w@yc%Y+`k9o@}gho+<NBE4aG)jk$e6Yqg7<|2#!P{{eA-bV2;dnCqRtvyA`QiSmI
z&<I727fU!zM_a)!{u{O_N=eafya4jDF186t0bTW--U+t1k>4v@M8IhPWI90o6aiDN
zGPtUP{-nyLwdkI0Y>-OJ<aY%O{bj$iUr!|i;n=NiyK0dYq6byIpma&^y6Vf9Eg-6(
zP-Bn_)B*Pr;2KbHnxnM&#mW3bXor<QFh(eV;hb=85fn9Q|Kww`LGdy!_|<-5tHp~x
zJXq_JvgqtVM5;ldrFK7g|A6bPpVL=(-TbMVFD*&vctCRk9pV_|`#Lw@s@4$3?9cX<
z1~d4QImO;T`SM9vXkZzdo5S}@pa8l&X%pn{XXUfbapOZQTXq=fu8C>o*mzU*u8Hfp
z<jq=;Ks<gPXVo|YZZJEp^(*!rwzaZ~h<LHsA;_5M-}|$tSsv&`Zd+-VkDy{e^meD9
zvSsfZc)|Z)3K{^GIb<DmfJ!b<eFKzUKovd&<^o_i07O6PuonQYObB)hcYit^*+v_-
z|GPUZiNNvsTu%Ro)IPU9pZ&Z`QX28SN0fzlCx7laGZZ5*KgVjp1Hti_A}mlGPek}4
zKW!L~QMRVU;&`IQ>tY-6ATQ>n1OnuB3S5>L6HW#d@8>-cCs$PS76K<T%ABt@45=`v
za0peo?<_EgL8`#!b5edKOCdicO~qTuEwy@rV6+@#pYJa=keM>A2m~wzab0npMcg9c
zRzRK;U@9`f3;+NXh=?7{&E9*HUqR|q4j{i#=`+V#JstDA7I1DsqwJz#w*4qm+&`x~
z?0#4A*K-Qk5~1Fi!odQ(p&hmp`xqr;TIK!EVyKW%)oFq6l`z_O8pU{Wc0zF*=MZ~E
z!Kwy!3@#;n>H{gMS#K#6VYc}LBkV`mYHze-Ry>Xhb!x9c-nKqeLjejcxb5y6AJWs^
zb!+kfzJ+Q**20P;=E0Y|;=S2i0&E&3uj>saL}Ic<_)&j<;L)#UKYF)eEjQiIi(WQ1
z;;Q-jz$Yk%jE-5ZPGjgB)K571&$G<|lKV@5M3xarzOFfaE<IB!tszKM!bbjk<<ygM
zbRq;(z!%+&^<M7>ok$l9lYiY%em!v@i7r+(S2ibPm{ntmst$S1Xzy+aLX+1m8!<eZ
zb7dZw<_$Pj(9NU}I8pG*|GzwB3eT>=w@5yT?pKbek=y~8n-Bi;zWbl60Yst`@uv&K
zWaBb5O7wU49-^4?i!w!I?<$sUG6X+T@pJ*b5JU7YF6Cda2c_o5*o=$c{B#!*Wz4<5
zTYWb^jLb3><wTbij24ly3S~Q_)i0XV6C+7>bk9f5@nK2>4r1a7X86xA%vEM3Y~zK`
zLy{Bo@%8tisgV^}wMfwOIT?xlA@WN+Uu{HpydEyJSUg@$K4cz={bNeoHf)uBoPM^C
z0mGWMm`%Dg*RQUrWVIil6rRf?Jo(+0X|={XvJFMoa6{~n#@~n9rs-0M*)hT?3I+@7
z=K0j(Fh<q)wD~4iO-A@BkNaj}ou)K(&NnK<E<9LrmV>>rDVR+B_h~c#%evrmz5Gqu
zaKv!m4n=R(rsp>zM|dgdF0tPN$G|aq_xno^<%H(P^}q#<>ve#Ch{w)TcyT?HkwcA%
zb{;glOox@aNDFt$e0mV@bD?shGQRN@VKdYK;2egTT-M&;z+`&a27d_6rt;l?MgKR$
zkME@W(*~=DQ(<XKV+$8e@*r&$m+m*gz#VK4TUq6jGBTY262Ck&w?>P+z1A*0LF#o>
zWOdzXbW#UeL2&_z1(D<q0)f8!;UB226zA8ys0#3WuXsfsYI`VE+_u8`^9=CRe4Q#(
z9Lhexv}GAYpB}(!4ooW3`zjdGyrAPMii0ch)5UHJ@F*=2%lI<gQJ9pEM%OXkRG<m7
zo$xo24Z|UD9Gezn&&g<bd2&0H;s%cD1kxe(1y5%5hcEIxY#zD7cX6%sqfei=E(DT8
zlQXVYne^s^|DY2q8;AnQ(=WcprH-!bU2fO(+!U_BC3HeK%n=~~P3Qee5CQ3V*`OpX
zg)EKBabLhS=cnLbnc@Ef-;nf$u9g<T9Ww#*0=Wch_39P%k2-8K&;GBpLH>h7cZX8^
z4urU(i_0n8W$QFl?<94Qr+1eW=8*Tlg3zNS;x2r$#b#cvGB-__$lIErPVrXL;l0_7
z!!EP8O4#KD0^DLOza<;nf*>N!Z}D9Gx<2EAk6=?rC`Cy2OSxWg@RT85jLs~5xTeI#
z`J5Pw+=`VWZsL8~SS0jy|1J5J-=?HL>HPZ3TZ5Ep3V}5B3hDjTnxs$K?a~5t>Rn5N
zB<%Hl={d$#6teknj$D7Bd|j`_U|*isH=;0<QRUX4`-R}W;IO#REzq`Fk8A)mJEM2+
zJV6){+;7&Y!z6g_fDAMPj8FeG58W=L{hy2o*FkEC`N9vz{|2Qfymq+DVd@N~Ygl)^
zyfR3?7MaV9n6JpFR87y!E4mqXHeu$uYR(7O?|7?ffsU?aCERdn%-=FTJNR3%rdUTk
zA7TD{xWxJ)CF_;FYEYI$@ZHvmC4E3d``srB+MSgYX*mAx(9e;UsJGi(IaCy`xVQ<_
zW4#vPW-KSewL2f_m?)K^ud|G&Oq<CMc=TDEj4hP%&}VdtLR!bX=g^nvG$2iJ?;J2o
z!*n}!OzHC+dPBW7Q++5bjEgLU)j7r4^I>HO_0X9Q;F&8wml&eiJ%e#$>`6xBb0g5*
zPZE)P29I!FEjf(h2;nWc0_&$t$9co97uhr;-mDc;$q@<8V<#$Y5(txx^?Btm3<h1U
z6e7t>R=UB2?FOR-SawknA_YxR-7B#$YPz#VDFs-51_n!j5OsSq8feILJe<l#$z%7q
zGwc7QIt@RSsJXbo)WNY$d}FaA)s>Ca8C;O-43-jm)`@S2(9)OJn^~%Mx;!<XDip$%
zE5LvXAN}gmGOGJf#T-|Rw(XXBjpPkhSarC*HLh5@1PrZE34M}`o1pG=wRi?B>KEO{
z1i@QG&RKbJx?w6BH?pI}GJ)^vFi?i>_E$-W^|7zD80QLa$6~5f25ZG&Q}-9f*7rQU
zQ8OQTJJ{+-;NcUSk(ZZQ$Fse<H>$%$srF&tbX8N>mDee*d!R!KIcZJ@eTuq&)E8iu
zyGJ462G@^R4VFpIzFy_ueI0Erb{8Xtfch}l);K0$7Ru*#O}dzInHj7@<YQc(mYwl4
zS9dt?!v6DqcfF~t&e(gzglQ;0YA+fU2M)Fe{@~CFy>1VrhMA)3#D(D)D4c1a6$+G`
zAPOHp%`W|fMr}Zr0;i18<7w(suEG}-BUw)rf*5XvUL)vatRNNfYpR<Dl(eT){Dtg*
z7-a0MMEB08Hq5m(c>f-h(8;00;*OUu(!?VP#m|mzBeZu2@r=r-(jmDoRN0I2tKY!1
zX3>d}$7Z;Sg=8GcD_4{;;R@G>(c_`Ep(pQh6<dbRWq1%uJrjrO$(O3Bd<37(XAv01
z=f_P(hPYzzNNe+oxsJrAy{@BN${!%<q;=tQR%a-@gmIozPKIknnSQ7zD3%N-=;sSz
zN!dL}_Ci9L`f}713E{9gle*eXXoavZmVdvLys;J2zLmkGf1t*AedhUdOJT<hbGoTo
zwjC=0#~LF0#mQcXV~^rUJs9)(N$nacUcu3VB2nIzMwp%<jO6>FZ(UCpKck1ecl1C7
z+GGp#=0$vbDmxMKItC~~kn1`Iz(G&oO#^%v&`W6mOhe8C<X2#st?xE2t(cNLRR5o7
zD8B$kd>>X%M6Rn1Z$LQ`z4uzBj1?ASt&(V~iTuA_0Ln|+<nLF{$0B!~gW9+o7LM^o
z>I&B(3&Tjr34`_TNhc+OK7P0mjLsX59dHqp+`)grIZw)wy)(46K>hJbTZS|uc3&Ef
zyd2J3?U7|eO#$B+8!|GAWtEi_h5obUz_<<Ld|yJF;)|4rm~X1o_g7Yjcus7@ZPRq8
zT|W^^xSi>_Fm57niG>(QTt1u}Bk()*xfLNJ@K}k4VT22{@KrC&1(d=ji5x)KqhV$0
zkB>R7JF2Md@-QcA)CA9AsoPl>tJ2P{XMb$wD>=oG&Hpu-p%;2h#dpOXw-s~~HI`sj
z@G5VxyI`BjD9T|V*8Uf@>_TfHC`Jqf7RV8>Apu#k_dr~qM!Sc{7IFe3^5Yh7QQsYK
z-Gi*dYaX5>0L*^cG~_`jZb24tu<<`Lb1WA8%j(eYTYXoc$$(|8t)YAv^&0(!6n`n=
zsp54-cv?UJHak$&{}3WlsI5z6b@mj^@Cj$+w6VAnyhbUmO@BdCM#c1Aq{%c7V0KNy
zXv6vLU#DEMKIWT}IR#6X3HZwAUoEt3=G9>$_sQFoZ-=zrA+R42Mi@$VyykDRdtk>T
zGVF#o@p3e2mx0|bwcVGzWAU7KRY%Y9@e-7)p@Jt({0#R38prk`$Wdmuq3TO`VIx-=
z!|r0@7(BM?AYzpbvtOx13R#q6W48|VD<tHjw@1OivPL6krAFaBb;=;rH26@p0Q+6i
z*<r*be)joZ7iHl6$={otzusU)eE6kn#eK#A<h_$tdex3k?VnaI2?f0{uF!rZ><7oT
z9!B%}RV*@;ZQ81h)`&JPuMikyKg(WbLHd}_9SAk^$Au2Vh868uV~8XP6q#S#!1BkC
z&ho{GZGExoB0BD}Ss<;%KGCGptsWIG!iPer=8AC-V_Z#eGQo5s#vRNY)UMxnwl_Yu
zNO^wTChr$pxH|UmZa01XGf!MY@$5Gg@r9(gw0-!^_|hK40>sD;xIxw^Bs^>|r|p_e
zVH9E0CsH?c2Pf1~lVkGw*xlq?K5yrHDe=gzNy8`=yh2I_bfpQc#j!BkBeKH$s#=O8
zmi$$MXA}oJ2B=|KRz?E85eC!=2p^|^4muM*E%aH6^#kO01ooZLn~os3sE$6Fu7}4q
zwH|Le9K-<72KV=b@^5v(gAb|1-`14}2jF1<Q`ytJ1{h5LsgEU_iX=aCbO^Zncz!6Q
zl7V8}RN1yg?f9{69G|IO$F&LRnN{Z3JC%>YY{nT)=%EWHO>FPbi?HLl4Q$D+OHRGM
z9={H1A<jf+ojWE{)FxZT7DRls^h|j(+NRI{QZ1rzEPh4Nr?fF~DKYB(i<n6IsZpAJ
zGQ2nQBFXhwLUjtqI6eVFx3x*;Xid7L;z57@gw|I}C>I>s=w+=oD^5Qnok!uoaZ)5U
z53PMKMHGOzuv&c{5bzc}+{flgm)6Hby@SRoPX0G^HDoz$oXtpnf@eWCM0=+A>(t29
zZ-m!>_~7E37c7Se=;D{>z-^~bf*w8P_TPSAKpEfy-+hWD+igJwl|`;F?9g^FHuVPz
z;oHE+?Lg+JCG3FXP>}4JnVwz--?yCWKKfiZQHRARtF!%bTQivL!EgvlFn;}S!C?3B
zp!hg`M-J5a=iyMpX3#{T$upRr)*B|<LM$n%j`A9SSVS8iPt2I365Qx*rGoS}&D37!
z!TbA*4*_ARAU4MnbIEA1sWLmSSBS}&IYvzvxx?6~AcmM-+%F?08aX)K)?H&WN$|>^
z7sn$|JQ2~ddplk#@X&3}T3B7ff+!l>WJ-di<E+VOHc-jO20sA~jXy#h`4P<zZWh^L
zcI`yghq(9F3C=2tpbKwqTJ~4%zR3U|uO&@=2fk0pMr_I^2bF(@>k2|&cGn!5gxa@;
z+BQ?E&1aZ*M-k2;$E;4Z3zG2jBG*HZ#?ZrA1hS8ju)$6QGyf-=Z;ax42!T@93Ed}5
zk&>oIj%=Ljek_{gwjUKWt$ca->-c#+?ubXAyihRaaG1$=+@L!75hQ%uh%=I4+;!-I
zvMDA@@J{BK-NsLJISj$=Hm#6IXF2uZUq+|x@FvJ;NO*$eOWg*c!sE}GtLD*1$ESh_
zV2Lj6xH$q>t(5eB4Htt}wd$#POZ+=y(n;D@I~g}I04sHYASoyj_pbP7VqytcbFC;G
zgWCoF$VILRB@W|p<|yYG)Z_YSOD@?Yvn=WU7Z!`dBM$b_PaG#xX}Q*Q^ULtT|6>$b
z51)B#uKn74+*prkS+wsWHq24{8ejY+$9dLFN$B%G<pX%PC%O5En12_^4IYAi^sX5M
z^WT%{4}_){UL)V@oIIM_1#{ufi^ip$p(HC4%s}y<ov4h!+)0tDqz^zkoCgz*!qioR
zq0Sfaq3rn|$dVKJTMbR~aDod3(Ca^sV7RpWzNm6tK-ReEcP7XEc_5WP;yAqP?EY*k
zrx(VZkE%^TG7PTrlT+|U&B-wnQK*?bEF9WGMEI}QZ?l9Ask}P^>-kod_o1-d>}_xk
zmJ3af(+;n#s3&6dKf{GD;k2Az9IfX`Ds}mH7r-=y(*jH^&Ohr~GjQ_P$lJpdi~4e5
z<_<DU1bN`kZ7fJB7yJTV@_q@@^yWkOxQ~;Aj2?}CLEdhsa1py0r`L-g%ew6;<Ku#2
z;u`)|UGiO3)8nD(+NTJH;AI`2Qd@=&qm9INyZGRY)I~;y!*=6y^BYIK8j;^c)<|JS
zd^Up|(uyP)_S-PNWOTMf*U&*Ych4D6&H0b@@gsml+Z4@egE8q>Rx4bGYfDw-ku(<Y
zz!>rw#zU`mjIz;TCQ@8Rz}7mXlzjf{YN>eSZ{tJfG}*zQF8{fyN;P8GUpJQ1p*EXQ
zO~t&SEKJ_EAh|FwX8wTx*wO%g$@~`_a4_3-HgKub#Yk9Tg!$lzY2_Z^zj}B#T6`H&
zm8k$uexT|<jzL7+K*a?GII8R)fF=EY6F72fL4M>H*cgItJzyRC{oy<ckiY*Iu2&1G
zS^N)fO%pR4o)WgxU@m|(UJNN*B3LWiq>bSX(<W5<^TFtA=sv#$Z`FsU+fB=hsbuPN
zC9w(J9mocP%NQm46m{vJZpB=URWOslN)-1GdAaZyP`vGOg>pBUl~30As-C1Tu)oBM
zg?}SZ1-*pB%wU5jW}-IcLEDBX!xNEorB=K5g%{SC<SU9%*ol_)Ro-=_jjlH0Ob-)^
zn-+H)%n4b@ce$ogo!^C23J`Vn>h#&A!P}RIRuZ+kPz85h8ppt~JrD}>Gfd4>zNbl5
zbgz~|TxNx*(8`4sr0Wcm+K*>m`qmU*MSe=9;ArCRMg)hn`yTLJm@B9~gTq3Ewj@$=
zVrlA_vwf1GUM`*C+@dF@zIh+#X$XAkEcAYqeG2XS7hIPkc=gxv&*6F*<M71^BzScy
z<V{qalZ?XHhgI57%8ACv{C+>z`bE5JBuPRj@mKQAHkF43qIa({nVHmI{?a)1iVZP?
z4qJVd<wHQ#qDhayVax9dF35*pf4_A#uzY8Dm3^0PyHtBQ-#a~hf!(|8TYgbipM6nw
zx7kwZdjhI?YQY=<>^8kd6rPLDXWOHc9HxDGj_vh8@mlSLcn$>{fkF;{e}75I-qv?t
zL|ma<<|Q^lBA0c-`@CC!8-4|t5D|s6?vRZMM{MRce0`Pr7R@=D*$HD>ZKK1-ZYkBB
zEw2(ii_E*-IwRY%6Q4aZ3k%!LOf5ljA7#XKbv@3$<po1=zycOsAAkGUV`%-#NU-yR
z#AnZmGlh8LkU8x7aI{)Im$%R=>frnsJ<_3{<I{{e+gkM*Op3N$nNIvzZA-2@R09sR
z;Z?(gj=xd<G+p1UnMd%MNSD+j8Q|)fROE;_TN@ju%ck>j!>bKg%=$D8p7poZI|Hy)
zuqSI&H@OcJ{-sGUE={(~bo|Y6<2e1+-!TMV26RWWzN(au_`i%9)JOXN+DR<*B6YyG
zuvLvn<i2>JD9Xk47t+Butu_JZN2HU`%g<ZcPJFM<?=>~~kvoctia-hrFsX;YRd*h^
zC!bP7z%m0Y1lfX~N7pCoY|R^qH)q>{Yxp@kpmPe8nt`kqHSsk%TifwdGdp+)7iT$t
z{QxweS%1WV72^BuDs7nT8iV*7iKlR_h3A>zO{X_$;*k5w#k+Y|9pB<N9AQSrQRv?#
zv?Vy7*+D=lfV*GT%y?8BTFe}upsr*r$_0w?=?W_GXNt}d&LZ@klCIuvkw5|Tw_R+6
zVTVc21dNmBaZerbKTx7^o@A8zG7qal`<#@dg^|3hd~d6)dc23km$+w5hAA2gD7%cd
z@@5!H5~xM13V-J^I|i_w@7Z6xqJm<s4U?4hHeO7?CZw6&buEM|8rjT+G3D4sqIXwP
zA9!qa4qv9K0E#{xWOL1h+&HZ<i{*K^W)=3{^geQVEjm?Z_3@8SLY-r<_ks|G>sud%
zAbBq|9DQxo&`~nt&jDoSNIe4RpiyFXpaT0+8peo&L|<GTN+`F+L;ZnjK}C9#>>8Ma
zeSv`$SX}Jw?aRSb2fUmh3Ig(xn?Sni1gtO6xFm8pYxWcveCne;i3@y&<`259K!zCD
zL7M@Zp3QF+eSfC%&v*gyqEKMd&)`weW>u6+?zOLVBfRS3_9quVn_wsp>6jeN^a>-*
z7tV@Pw^L$UkJ*-7z)m1MLt!tmF;EdEdjgw*dv&G-!fd;5bW^LBi9O1+!Oa(*UHq6k
z8UHfeF5`SGIM8BlYm6bxW&ssO8m(__gSbaK3mvYBg?V4@IH(ILej0Wf|HJl*xv}mI
zSx+?gj=Y5?znAA|P-0T`y=8{{^oq^EtGHQT<bF;TXjhX0O=t6Q;fCaAc8EQRcM^|I
zK0mQ+sB5ve?DsmKkgi_&!Z$AKu(%hi;o+qW+f$NDg8XD|<tCVIFlzA7DnuoNE1a2K
za$Uarv6R1fOs1Bo-0@#4Ot3NKPvMpcRD0)+sHtQm_h>u-IQ1HeEUK-iCulX63*uZJ
zpqjQ>pLGSHLpF|rI&8c^b`&`LfV?^u{0D^KfrAjVgh`^jkd1A-nAU?}Q)2OsQnEh1
zQwCLDSv~i$<<Vr_uYlEqqCtH_)MuJ{kpvl?4^0DyJtJMzXxA2Y#JH86U&<k(8^4$T
z4)goPX?aJ)$o;1dLQdVl1}@m^W(}+{=eP0aO5~^xlv4b)N-$^fWYzL_8a%<#4o-R*
zXc4>W?PYUJNR+UT`o|4t^8}6hQ9(VJJ~|PjpjX?)_A!o<g^&I(Bt;Wn%$j!)Z|#6c
zzSrg(dz|1PW(Yc#8;{*3DO}1+r>@CTnD6UQlsu_SgK1MqFM^ibrLC3=tbWHC3Abs>
ztv~2QUxMrH*x?);9mK-wwN2!*eXG2!wU4lThi^7X4<UYuJH0<HCcBegXt9m{UA1gO
zht~dhOO-uw71wPD8L|LMgFfpFuoQvh5+E#u<B*V$Jk@`KRnB*TV_^Hb1~Bc5AIbrE
z4%sW-TV0le@p)>;>N`xxfe-vwCFP7Y5k_~Zo@Mn5w_L}YP~qL_4&*NW!><Q(ovvP#
z>dxixx|G*_N>F;+WG?#VS`Ae`?>F%t=HV+6$j@|$Ja7vQ;n{*_@C6ik&WL>}4-J@H
z$Jbv65S>=J4_E&TJgPkXqVJU0rDh+zxiJtTs=z5h9=K}m?tD>S(OqzXs0DXUag+2J
zYLd!fwb$Ctm#+QtEJ^XV<O7NJ$DY<-y>gUgE^Fj|S*oZgP1jxDU`bn|pN}>|51*R|
zw#V{}7TA(qgVwYRhnC%^MyPt5De$`sC}k@;XzfcvooAl)@S~9-#GK|OjDxz^rFnQ^
z#`d9Cvs#Ce623}&e$Ep6j9~`-SyGW@Q)|a2)9)k$UKI;z``fx&UHr~>w1CWCy0qZW
zPu7m_F9`gJ-r*P=Zi>NgBe@so`ib#|*PUQ7DU9|j$!62eyx%iEt_s?D$a`a_hQVuU
zN|CUgMSMQREcXaAOOhPy#pG??aO_WnE2lOavsvi51r{*|-1%XKKZ@YfzP~*~PdTFV
z+1a_8=gjW^!r`gE+Kb2HV<W2Nbs+CnoSQitmfw#}DD1_y(G&gU9m=YVs!F5p?w~Ty
zE0wHNENKWbCkX=WWW+~u3f{0C!yRNTB_pEs`SECnqLw%wxp$lg`LdX}1`zr2mmCGG
z!A(~_uS%I7amyu!Owiq6Q@I1l+N)?AJNP0#?jYAXm@*@^Z&Q;lh(_I-;D(yNa`AZ)
zcRs$uFn*D#M^>KxJwZIg>i*J_Wc-(A5eWGy9C_ik?1)hn!{j*ge<ht_$$+X~lG}+&
ztV0Ab1{I>-^eW^Vbp`<MAs@h1JVEdQ!y@tyGqBlyf#+dZpB0%m2h?<$nXQA%h3Hw@
z=;YKCX!y!kRHA)rPW+!k3?x_oRM8$=c6xiNUvr&A=e?;;Ue#G$86)QQ^|jLOM_a{^
zwjCTM;)x0#sNZE<wv>Y>=$AjCXBOXJJkqz!W^(V9S@dA1K3W^3t72-Z9gmgach6JV
zB@y9PiJV=g3S6qMMa3_R+*<mB_w3hqtvkWh8Lg_$Fj^jcm2^V0GlyB~ioYT1;S_i=
zRL1h<_L~0>U4I!>WwgHW!m!9i3re>jASn%tMhWTeQjqTM?rxM8knZjUh?InMcjuxT
z&cojS{k~(IG0r!KL%&RT=Dg#&eivLex~SDZCfOnM)rp-G>2F=05)rv4zEZjQZ5LvJ
zcg9sz!QLH)OI$(B=hKkTmR(pkn(?P#4t1Ugy!Vhp<#%04BrKiZqbNYj419IVxl^S7
z90w|H**ePdZc{uk-|XeQ3y6ZDzG?GI_yAhyVJecQK4_aRtWth0D)*@gHvgvxz95fJ
zT#_QD@x7lKb9egK&X<LFn%(U@qx4raacJ`G$jd)fhS!u=+J40I!HC#Zx#|$Gt-~Bv
zX}*iU`cVgGlFj^Z<piQJ^Z(=hjS>87Ww)mM9jje2-z>uPdkxXVOvv;6Mh*1>%nnD9
zO%{4fJhoW9fZS+_B4}ia!I;BW?29aDaiDJR-iBDBQGH)sIO?rOe~Gd-BU<<8Lxvda
zbd4Z1G@9~8iML7P#30~-j0NIp)>QsYZFVQKQD;XE<#9}7HVb``s!atZzVJ`6HL1$G
z_y}R&Aa8YQ+m!;hwwGvIhSTcXagctDm9?0N(Od7=3rIK(7mT?Z-$$%H*0y3wMOaV9
zb_n`SLL;i$UUy^5$Y8w389iSB`OK}Y<vjM7l99frQR>d*wG6wl8YR6!2#XTSrs`=$
z1|x2&tkez{n$IUseGAQsZGchV(q5Z2M_A#)mY4cZ>WQr6hB9vKK4?X|^cS?PH7d3c
z<xfvF=w4~T4Lx7kGWq1&Q1JND2{AQLI_N6BL+n-;AwB3AdXU}f=9Y_y7f5=98KiJx
zEo$Dp{o;ryl4~3D1qG_5Jj1qa!Bd%#&4A9z4zG2X<F008$bmJzf)Ej81-eJ-51QeA
z{9WYiWyEGFlVBcfYvkz3GP~?316&2$&n(1=Kjr2(yTu?)v3C&mzW4!jwJl@#%_r`Y
zs2t(C3Am8<&+7k_j<h-wXFlQ~IPoaPV!KkhQ;NJZ6{*PVXja;H7=JeHv}TaUb>p3L
z3G;D(gI$>UXW&(GJKNXGxq<iE_huim%i8+rS<7dnInr>orq|D>iV&!iFsXvE9Rf2x
zl0Oci2PRCjKG|3Qq?>gp9B}^Uvzd9xF&Ex)XnEgoqC+k=OL+%th0B$&d0d6^GbN#p
z5Im243#q4d+BTqnT#|$@r4%irkPx;Wayka5E*5{`f-~;plooz<jrw+L=v2u^s3nU2
z4fY0BhWuzGiwZ|O=`K(f@EyB;PuJk6!SD*fP>b&C%W5!v{PVDqL7~YflKd^}T>x60
z!1|CDTr#?T5bqtoti)VYQ1&(B7#7`V;<;_+7z6R_+TuH@wMKB$Vif`LMI&=2`Ls_D
z2_oMt_XZjxLEWBt>`z+?E2)vnKwX6jQA}1;Is>RbxX$uDq)`w{9EA(ZW&5DVp1hvJ
z2QfZ}m5hcJYTTNLT?wD5u!BW)SQh9Sk%;vLr6<v|A@q~gJ*P~2%&^RY2%G>z#U?g|
zOV(xZSHA*&?mbM`ZcEY}?zE0W7xS|jOuonxN-9(=lI__6dvTOo>*ZBUeH70;BcH76
z;(xUx_y@h8TkYA=3laGlwG2&gnCOC#-+2A8hQ=TKy)9=dRAu`}JKui^h_wNa%75K$
z8hXxe9_C(rNC0aIp!fj_7MT-eaLd{MT>;94V?B$nP`uvq7w1+Z)5fAEO>`_{>m!V!
zck{^+j5p*OS;Rx5{f$7g5wWJT8FJ|e4o6J{Xu!wMB`5NIo78H=-j2N#0uUfDK;DIh
z+&#*A7o(J-OFrn~zXN8`+>e>;p%4~4a(!At1{qqX0wdcxc{R~W@zvDLs!}2++|{Fv
z@wr9BP<T{60^twoGg?r79U-v=M#%4GYOpa^8B|n6k7})Upk9oVDcV4|T-QJ2+ORPY
zOlAg;x|)X=S+W^l7X<UGa5;p`*!=u7b2Bt4p%>_2@2-M8Yl$P&4D+v-2#z6ujeu|-
zf>~1a2<nEu4`Pm2db+FhB;&X+SHE%}Rt>1s_Sa<iq2DD#jFfD*x==hO&ZN^&*3r?C
zo4dADN@XC#jv^!;QWD~_+8o=ZXK6M8St#tuk`_>8uGD;t@pmUVD59Z9-e~cL)g#s)
zPdMNX{>xxQ(ZyvF4d>FJJkQIRx3wN}m@0C}5F}(_po_-n;;0}_5v$~phJva*r&mpO
zeELQcj<{x^XlmWKBr%AHIGCPB?$I_PG`E@u(-w|@TzD18&Z@%XfG>d>y^=^@(O{`W
z-`tLf*|(KR2)R|<``$RHs-DX!D|6Li4X28h+*fU25bt0FZ1~OqE_w75k33$Pl>(ZS
zmtO}<)X2xTALr2&dov|9S7m;mg@2imUN8rxs6q{c$fA%ppJ41ngs&3^-pz-?pT1k=
z45=0%tg&~nbIaeWM*lM}Hz*205lS7pJXv{OSb4g70fYcO(90U}YoCOqmj;hNBgJ=w
zY$|az@oWDXwQ2X8x%4g6l-<<q=qEAuDmdhDJVcL6!i!hue&c3OX-Kwu$l~*)#f{dk
zE}sMC@(pDy7G{~4ljexEDQn5}U3d?SYi=PKjz?df$q01t@7_H59OAP_8!=%J|FWAE
z0KfGc+_5Wq=*SnU91pN2C1l*T;&8s>?`Ji_6wr0c+!BMCj+F<e!(vW>ZV#!t*%Ffs
z1It_Y0NVF?u+M2V67n;6N!RoQFGE%JXB5rcT0tTq+R5=Tiq)-o@~CsF+l?4O(m8KW
zV}gKaTpJvLEFoewDUW<7c31&!Yn?h449QqW0GYEgWK6=9xGkgWxukw#wOe5(apN7}
zl0d)$<c`4dDhTIkL-=V!CHqblXem`xCKw7c&V--Og;VuC_RhAH76O0<@ju-;0Y8GR
zmgzj6JSAhdS|8P>H`x1It7$)U^5jtJcg4+m5VP^ccWq(JcM*JCBH|-IcHrDS;NSa*
zLrcEF7rJ(rd`cT{ocrpFOy2#yc?+!UYb_SwFZzwWkP$t{EgcS@J_SK4HxzfBpMWk6
z&%C#qZ@^KAjiQu-77~q@<SfFAjw$w;2DK={)cX);M<9|6LuL1FZj;@1Ym()*G{Wt3
zhQ`OCfILBqJ!y4$<W^Z)0zOMkZ7W~=q|W!paR#=*1Wd49j125JCusO5yVFKXp?m{T
z3hWlgk)Q9M-+`LYx;{3l1X1j>LwUI>*$8$oMVUyC%CvLgXXkO)U-8;@OZbQ{E^d3F
zG!In|2W~neaKIWk0z!0Wf5b+wN$xROA$I_EBXGSP0cqSMwr%#4N|NmWG5Tzy(-B2T
zC3iG#O%EYm@Cv=6n`h4I)=tSNIz$<e%nrpx`&F~Db`p`Gv;Lb)gf=ROt=&ZjD;WCt
zbP|tRd9w7s@!tu+d)n?6J0-MHvy<i~`x8Q~=CU(iK84m35Ej$)s*3)|?eoS#)B@|6
zt&?WnKdtGO<p!nxwY;B2XoctYMarm0_${Qu<V#~;PGl6X4L!+Lhm#r08k4a}X52Pd
zL1{M1EG<i7*_l5a{)Lticr%sBfwPIf%iMK$=kY$euz=MEo0$P-S}`4l9=n!cPK9aW
zeB0LBBQ=C3naWp6#>pGZ+c%1vDLvDtN?!QAWMvwal0d#4KgvzDq@E8Xmg#0nwkdu1
z@d{V@BEQ>b)95>nF8pguvi`VIOy@QejG5TjlnJ?10v0lCYA79xgZ&gSBkPy%w~a{k
zuX9G0mHLril~@~f`WQ(0+(_52hJ^{*CKUFKX?iWv5%}`W*^K$8MXuI`wJK8QXG@k<
z{bWAtv~Okk_)|HC1pRp*pFD9`tIx$aie6xMAlQ)vLqc?<r6cX9qMUS<hX9)U$G1@l
z{0NM*T{D3|Zw3s3gK;b@EF7BU>ByIR`q}?ek8%bthlqVG<xzom`iC^Xk}}g~!ewcO
zZ>e$h7EI=ro5F|ezA9hhC}LXP7+tPXM7|3_vZXa$A)~jOrU>c~<pv|v;=ocwgL75k
zPLMi9?-u$IU2Bb0j1upLh+2?S8aB$-!DKYt&4zSkLdnkQ8tQa7q*I(e5Q;jHRJopR
zaVR1KX|l?<SVkX+0^Tv-)tG|{d3o%E_<<5#)1e)n+a3*&2zlo6Z_G7<V0BhJs7V{U
z!<3IRTc+A?)2`!YcK^cf<Ke^5tHs=<+K^iQa05+ELHJ6#$-j8e2wcMQ+HltjG}1T;
z<ilkY%P!+t$>)7|_9w(DBDcNu4q#^9(t;hl^5K74fEHkcJ{bEv!U6m5U5cQ*i>Jv4
zj-#ZG%V|iQ;XIRj5LDtVYesOsr`$^8sSN3WcS1k}6VAsSrJzmd^jwLd)30HqA9W=}
zAQGF8yt=EsX4^7xTmrwxdT@r<{h7_k)UB18LZ3%QxM;*=kd%{Q{Wx~rJ%3Scq^RS)
zS~<72%9!>`2=fD<+AillcKIKO>H~hKSZlp98D``+D!uOnWT=#u80vO*<{ti8V!A0)
z(#nwq+_R;ag*Y=BGjv}FSSm<=tr=WcZR6j4t76srn3VV0g9V8=PNygkwJK?peU(xe
zD<*=jwE4I)<Z{8iSc%C{I>3(=y$TX2tJ--H+wSD?r<+*Xv$w@h44do*@Za-rbH8My
z0m(W*at@<<nUpKx37Rq1f2zRCRPXk!sc!W84EAnB>K2gMB)@0(Egwh^FWIjOAy5rL
zHw$wdEeAxzsiKYZK_||Gqr7gFNh#%293O#()v4OAlUp!Yn3_ilPa#LSE)7y84on_k
zI=iObvnUt0CU}e%WQs)rkY|t3r<>qfc&bDAKXmROAz_;JJFW*N!(GgA6{BY<QIND!
z1;@Vaf^@?aj3W4C41e|@9kd4q>C~2Y(aJkj!<{rAd6{-42CNMFG$CN?^z{@#o45OH
z)~##?8GmxQU8uud3T-lk$Vt>)n`OJU!{(DZd|nOFtgS!a*}=pa^Fat5XH*!*ym??^
zMe^(!=)I2K85bIhC8(Ja7)my*eA^}d?}=c}N{mqO0YOL}Oh*x>ok%b_t0VGuiYD+$
zF0J26#3Q0>KWnCsp!hJ~E&K()l`V;|p_gDejjWnK-BE5fax-!pW~C#Boe-=+gmf`0
zq(++fN?nXZn*crE;d)Ie<CaG_Cr+Pl5%0O&wIO~ZUb2HU7%S@w9WGlkWfNNaBasyi
z7Cea-t(3aXt`}2TSwpFPnWDf6vuPhit2j}9nHVg8_2)38?wpNY11{Lu%1v+$srt~Y
zy}WjUP{2eg-VaNl&==iMhIp1AF-3@v$WFHobOkS0MQZ;^r%7O*_-TyDTBcQ8$ja^B
z*s%E8e{@yyWsapdHHPH{(ix)`^`}VU2>wz&opajx^?}IE2A$s$dO^s`oLJiL@Q*zV
zvH3S*+#INNgqJI{UKH%DS7;+VvmaX0Jr<Kxiuq>A@a*^8seYjCdR@b#9vG1g0b3HO
z6(tpK%O7*Um&=*Bo@%6WwOJ9~^y(ezFKER)PKG3=I~qvX-Y+!T?TW-h$l;(liyMPo
ztb$1(LeDMNPEc3d{RCl`V`yaUXyfbZC`h+-?JYEW5pkK<3u8<CwCEBm^NsS|wD^3?
zBdwPgOO~hp6Lz^lzXse5xBZBhCTCZqq@gP^yw|S_#M<QNyKaZP00T|oRgevQ!Co-s
zFY(Z;b*MyIHGw45oHaRb%oO(azv~vWR}hjftP^+*_oo`k;tFYf4OC^A8sBuk2cmP?
zf6qW1H^WJu;G3wjzNI{w5k}rsO58x6v?d=c>H143@cI1@_c7g#%uu|drqj8foo}!|
zljL1hn0JC4Vu#{?YzU@gs?p%^;~J3}x+RZ$j3Ih#)vfi<wpf<Nug&}p*hC^J7|&Zr
zBUYb~K`4olNw+^rn3MZLpnuQX_stv7=ji>VZ6Bi|2@p<r7zp;egt*YIQPBx%dr}}c
zTv6`JKes&`Sv`;NNauLY{M&Y+bJ!ca2%`PLR6gR&>Y+8AgPI{C%#?zHB_3Dh&6EUk
zey?TsYLQ)ot@+=bzjH;S1NsF+&qaqGK5so$5l3=fewKf#5bVTr<sRUFPyiVc|DGfW
z{<vO9lc(xB3;@J#9_x9aLt<^et~;*bc6b?*#6a4fJ9JBTQm?$ho@8B3Ob;JjP^}5v
zdu^0YW~kN*UGQ4VeH3KV7M6piqQ1;gA=a6=KY+G(w!Ga*xbiR34+r8NGRxK6Rs2b{
zDR^4?d$BF+?REPE=)({ta+h*r2tFQvShqmtOf$Qp4mK?e&tp!{?IU1H?`sG&805?%
z`;tFtGW#V>D0~}N^|?hUq`c2S;IYUyvBha4LSe<){H8HCa9ODq1^->!-z&rq0SQC(
z?d`p~<BIKW3TpyPbcY3n$E#{bn7V?<_N={)7*s*)i(&k9;`MZ#!Nxmrf0-!u_joF7
zjl2neUcJrBR9sxM?(YnU9!BJ^X24VXdu{8prG9($Q0_bUoSS-W;8j5N+}CT0J^Gy6
zZg0<Ev;wc?_IwAEg|HE_`X$ovA80KX(+}OxPYs>>CjCy8J8HZl&)bn%$|3qTDq1}7
zap^uuhaTkr6LKzZ&qfs#-BFl!f6KG@WO{p#SBvIr)~IWfa`X32DWRA!bF$1Z_rz_f
zC)<{Xt-WrL@z(`uglNn9-a(_0^(l5cNS6MI>UvA!@~ElhO42XB#%~#d7g1{yIKP;J
zE0QE&mc;d|hXr(BWmYS>Ox76x$|)zPQy<lJpTCZh592%Xnb(w{SF9H#ANZMmB2n!<
z4}g!as{)W{fD|8)nm$hmKTgDuL0Vi-vfMNb9@Yt7{2xHr)$33V!T+mR>cTRiS_-IZ
zg=3EMZ!Z3n$76n75a2Fj_SyY0XbJd@@XSQPZh=J4@9Y*-*$bW?MGF6Y#y9Vu3RyaF
zJA;pz_8sK@I<Rny_?yd58le>r^N|A*{nayfuDMHruYB8r%?T+_wfKS|3iF!xgtyLV
zZP@wl=xHZFxEE)-JxY(l$|hx}(P*2LMc2VTClH>9$N{r{q)m-2Sg<rFas+-S|9o8Z
zQqkuZ?V2IaTPXQ_Np%p`?qJ64=;&*#DgMzBnR0j%qt9s)CwLudNbJah;+sEUl$FAy
zhn<D;+8J$2tM}ao3UsSq=@U;@5d}U6yuk?ISy_`soVx-VoI-X&|Dv(Ry1I+~sRMw(
zN5p0b1>i0QK%xtvEZvBK90NY+WUqT*Z8Iux{uhX5+katV0RIX=MtT75=S_#^1)ElD
zKnYMYdTr6z{IVj;ErDma*peDd4M)`e>_vy7=%sHc9oxp}rs#r@?<@02cmd~5%Z%vS
zO*Lqge%`S2uzpj#G1guCry%>3Wy~dZ;$pIDTN~uNa3XVq&cl==k~iTvCaY@y=^_;T
z4QnQ;Cgsa_H5%~v8MoKQi4W75BkmxVP6Y#oXP2i@Bc@sAq|Yz73MH6Q!YOK^Iwace
zYS2^C2Yg_1kzn@rbrq!Ld_hs#R2uLT@exSnton&NS8SR%R5eGA7+|t}#YnsYX9+Ez
zlB-j|#+gSRc39b^PFMBds5ZljRox1Z2n$1~^fFDVSAzwT9ajO#*)fn#XSLK)UtN7#
z(R$nh{EZkYpt*g5q6o#gt^y<(0RV_Np&<O&jn4Xa%K@+s0bBMy;E-Q(ScbV~m<-52
z=>BImfq?=y@89Tb1|ICi<Nd2W5_D~{_Kh*fdMp7Bm`TXd`U^*67%9Y=LM|b=9+wUZ
zc$!7Jz|yg5OgSh7l{5b)mw9zg^hb!WV7DYajDSstl~eS6`uziJ+A{So^2eOsZ2nqt
zVFL5!xhr}-agFe$W;_>+Dp}%)*Zu3@OvKqeOpk6mVJ{5)J0Wcf1y37gQ8*2_W3w(O
zju(w}xoyD05?8Zgv_t*}<AoJ(j-QMRUXUHVR4^f4l5V>(h!XNEXwO=oevD)%vXDG#
zsubOxV})EkP=yAu+ME6`D6}3NFgt&Vs1k-^a#QoCz?b(zHR-&>jN;}+kp`SfATnkP
zK#1>)BB}+12QPpTz??(}5DNfiDPTOz9NN0OJa7eCMLql8H>Mf(5~x(b`~o2E08|pd
zsbAUobT^hOZs2{XHfQ>uW!M^=2m}TzSVmeMm%QULgk<z2c*;8j(q6;F3m<T8*GSNp
zzY=v{Vb3)1UKCl!W~*+tDu3MHL!xi|>fJjVlr}+lmWm4#K@N&06G0)5q4Fn9#T&zu
zw^J4fN$}%AN0)0Z7^&|v^!rQBLz%oi%T|=BQJu@fLS+sQ?8F-|rQ1N{2<xtN)BcUv
z#2D?O@}8hi{Dh=+i9s5eL0HD9OidO9g^FE0T?vRpoh+tRS?=1^dQA%b3^GVC`{`VF
zNc3YV%IopkCvGo`2jU<cm-e&L(06XOV)Cte({969Np~{Pem@?m7>A2W@|?nPb17tf
z-y49K|FY8t1blk`ML}MjtgHaq17MyA(5`m?=8ZETk*p6}0>lOY1R98LU`RK8DZYuY
z;GSw8<z7{92viKhcf2w>4ine^$sb{xn89{d-ZeCX2mRGXDVPk=i_3aX=H#UE;e#2a
z>&#p|R)Fi`rFg75C9p#On<4412i$cF?_{g&;|)@~u5JT0(s-oK8|f9s(9*IgSr7a$
z&u<9bVnw`vJw(v@391mbt{v431|7NJr~B3l4qPCBq@}&0*8}o4O>+YaC0NRqe_zE0
zl^M>WEFbd~<yYgB7!`6ZuPasltPxM2LnqS}=R-2@!C#n_z57X~^jbbJ^W06GRZhHi
z&HN@}ld&1ufbnJnqceDv*H-+%N~}0?-?r&t+eP^NTDjg6%l=f$#({Urn)1St%I}C9
z2`0ORCO-btmm%;7yd@@TjY`7eUuiz8nT3#5d{~7`bmM~cVuZyKx>@b;zCQ*|w1?se
z25_H%r8Wu%Aq+TveLyk}u*CuLq^M8Ne-#67)=sMnkF+{JJo8jKD2QM<f|RK<Awht!
zfw|jSYiDHb`xy_vDO>j}Hvz_Z-;5D4{-B>LKL0BkRtJ`rKg`?g;J>=}eGM~MHVrO(
z)OJ;y*p>vXMu~(^e-k)FOV*gu72=EnYl6*BXK$-A=jLa-c$<HD@dXfZcTWG<!an~(
z{fG+vrX8pE*C?A+&bmr&`wP*$;<7CCQ-fiEYPK_Z+~z2WmgpJCn3@Le?{GxzCc(Tc
z5_nRCv&jaXU_4MEn|9G08W%nF9Ld~NH34pD*~9>(7JiM`SKdLj8iux<`I&|KnE72p
zI*4Oc{&+nh&y?@~NmOJaJdcTEd+$J2z*Kb&4L(3*#)}Z&xx@PfEXHG_3+U_tX^h4H
zM_X8jg8%>PnlrP!wD0W3z^>yk!?-j8FNX;}%C}Gk$;x=B`6hj>T_b7XP_s3t#PNH=
zw~?P(@{&PfTEyzUY1s@sUqGM7ZlkH_+}Kd5UH+tOkki5VSIZ8p_yP@5b4g(%%K}-1
zV{am@Nrw@<rlrG}@9Hllt9yG~X5-SVV@ddPG99sTSh^Fql8Mm0Np4V~K33`v7}IvN
zI9x$%?`Pw60y@vAr*~K^RkabFca;`8lG&a>8}^FE{*14IA+<C7G*_?(;#M6pYCp1H
zVunm{500>IUQSJ>V1z#B;boM!?L5!dvcG6EDD|E(NUr~kN|8wNWtRT`t<cSUz*M>`
z&(3qhrUK^j5Bl;E$IT}A_Gn&oPM1(U4lAk>@P{Z3ALL8!;Exca)`8M^%O~?2^HI_o
zuoD{-0ZYyuDrR-~8fvgv;pk*S%h$Po8LaOm{TW!n@9nShgiNZhR)do*2}`TY@XCL5
zneB)(dB4gk_JfSJNr<=<RaSYG+P2gBT7arLe~44wuho8f+f}epb<N2Qr~^(vhB-)`
zk+x0Yk8*aWGaeUx`#8h_8g}hWq^uf8fQb_hMOvrPtyYp0Ng8T=)BJ*Y{(w{UN0d?_
zF6J{#jf^GyO8mykV!o|ydsAGK;SYfV)^O;~ef&SMaJ>GV&;p{X%mUV5Q79?I16a;-
z6jqX^tTmltpH~e8)|8kk$*1!~p<JD$sxe~OU9tZyJi0y|I=v^qN~zVn+b6%hcMQZj
zv-+8c&23$f__L}(5js^^R}?E!1MidgkLcsrs`bzJgI=|6$G-#ST%V?e2SW9j%yt^n
z+&%XZr3tgrFR!r)oEkXXMTC^C4%|GG9P*byUn~!th(-_ib$<0lL?`#4y@Gu~@%<;M
zT{UT05&kAF8{q`W_Fq1pM~(Urs6xf1+k8jX8I#TgIYBFb>Nc|VYM@c^M^<Ek_@%@0
z?BeH|p6t_n@3P~}_IctIeyqeJWnqfRCD-F-S!iDsI-!o24rUhKRUWCkFKR!LeFLSO
zH*JvL=ZZ5LvF|$Y8fBA38IOwL+zu~nCO{~b@qF?|L-zx~NtC4Ub^>6C;47B_+Ega}
zHn)jiazN#)to}064`B(e@E2Bu%`7|O!=dnmtSa5SgXs`%<7{AX%Wel5(-Yg4Uuk|F
zna3>d44>F%KBQ0pwT5!Em*S5YK}sb8b;Jam8*V+}bYr1spXy1GX+E9TU`h4v2w0HE
z1odua5JMp*uq?_m4l=Q=<t8t5@Ki>{Uj#4k9kd4r;e;6_&)MPi5rJp`f9jQA^l$60
z=$MS+(2aKkhV{aR`PhHpx5Npzqz}}3#j8iCDVKNU-(I@;FFA&x%ZrNQ)9>sZLi-AQ
zFEWz)Ggm%W1MpC+2Ou=V{h+)N$V#m#FFyj38~1?0@{5mM6Xhw>b-B2_-1>SA$iM?=
z$t1+Y?5|pZs2L|NC*<WH-c?GN7fO#T6~WnMW|<07r(3qK^di73##du)D&7I0Z_CN=
znVp7}lqElXeRxXY-Xp(*TaI+N!w|hO8Q@26M=TgWVdGX-kBP_Bdu7!0VAjQVE1c5<
zZugMl+xCA$Z*Q7vCKWY4#Ll|ttWSG{KlqAO$kXj9mc-_nV~(3%9_R09Pbm#nRnxVi
z;A<fejF$TPB0;F<5Or&O@4IcGzt1eK6+C1|6dC?x2aST?l#r#X5e#=e?r<$!P5QdC
z|6M0<o2XDwr>sEQs!*51;=JFw$Csd>re5JL?coiqvvPer&Lwfm9cqQRzq2{hUjFYA
zXm$}sTPx7suR)&y;T8aj>QV4HO9U+6UQZ9Vtep>MfHO)EAZY@&_GiGKV`XW1zbh%s
z@B8%7g9Tyw@5;#FY0CiM0ziPuwg+4Ip=OB1(#EEuxcK(6(pS*S&B$a(br%qH*};vq
z>?!0HC?cF#$t9^*7l@D;H~d4FmFRlfkxwE5An|UWZliI)vK52z7wq|wgIm^|gWs{i
z`EBFf@B(#s>(J-?+u#QZw(~Nh8MHZRMJzU5Wy%jEp98>~sr+Nb3$F3G`(zQ`qpg{u
zzHlt7HIC+Q3s2ZxElu!dpEC%Q_jW@Txn^yafHG9W9K0G1`(UQY)uahMtj-~A#Lq%!
zT3jV(@U6K0GR0M`G)t=w2j<F9hsNVyg5Tpg;%A9eg29?W#W}!l*bDM69FGn#*4Y5*
z;Xw8I=NiBWmR5EE_<&e)Krai>K>#Ct|BIIt&}#kr`KejAqM@MyXbR8`Zn^<o-1OMk
z*yJRq*9{CnbODUX_7m@up%ae(2;c1B?6#^#JFZd#L}8JsPj8=54ndh7u1@eL&6vL6
zfl|dhHN$&^Tljkt@pv_Pwv7NI58;LYPJeS{c~;J*Y|W$g!CcD(sjZvP4C4JV671sx
zt$#jNq-rD>B_VgH=`ItE<Sp>i_EX()VxpnP8F+D#6-F{0%@*P!Z??yFLb)CUe&dip
zC_5*GH&`latArb{R`5A*3(i)jQdIoZ5L^~;=!j2rgL$9nrwi&7D1;d_K~SY{d3f?<
z>z||JP)0~HMc#ob{Z^%N8nMaTbe3^dfuM$p+5WsGsxpbSUm)LWweJ7;!vGNciT71)
zcKg{N<4n1ZD}W5q_r9EJbve>*vU@>sQi#n0M+k^4^#Q0Rpne0Aa)7g%nw(q&oVqW4
z6W}Q`yuQ_UUiB~f3KXp+C={LdG2#)g@3z%?lbs&^^(v(KIA}W@U+yzgZzU<}Fy3ul
zSzqZa)5^&16ci$yy{8!%YQ_MURH*4sNy)qX0pct_zDBsniqT)*jegpcuw%LUgtfA+
z>yJS!4in#faIL-~r=S9&v_GKl9)5~Z*$MwW#_MwRH4qcENlimJLTe{t#7<>k1*s)6
zk<F)6Pdzu{-M)L8h=kkW0{fe;rGNOH&T=vlei6Pm9Izh}Ht@E`L9kF4$V2HoV&Ne-
z{!{YdDP7z}9_N>v?Y?K}j%35rv7x-j0fc)kJmOtcMXzPB)_J;GlW{<?s_<vph2DYh
z<zfpm2k08I>#RR~o|{F3RpJhcYp*#zmQn=Mt?r3yeEzoNsN9^h@@oGmB{b%<ltVH{
zJKo2G&)*Kqx;qcdr&D``k==hi-P!$q4Ec*CO2gpMypLeewjsVKXWCtM#Yj~)ANU9E
z<7<%<FJ0Ubd@cQ_klpw7sT|>2%bc!uaLnd6rMdaEavG;49WP|L@9bNa2KU-PSFzOt
ztc2zauJ)%&fBg!1SQU(7`p*WrX9XpzbnG0CIrP_<&cK&Kd0D$5zn+HkHX??TBE(*8
z#{Gp^i)UA)RN$sAh|hT!M=?X*o2~U(M1O15G}TW;Ne$ziy|{cNTpLpiTel7a&DcV7
z*!RdFd?q)%Nxdk82RBwNu-1{JCXWkqIbpNj^8FrUVR!*M?Qwc$;>tf1yVdt!t(HpX
zuAndyiy!tUw4eQ9CCH(WI?LCao35t_4sh9WEOu}xJtwby-OWiv(wtyN7(Kq31z7f7
zk$zcUfL-e&fngrr(4pT4%8EZHzEgt<X&xlaUdTRUIifQF{}qT{1)8ZpQACM_W3hmv
zd228ka8dmb69$mOf}U4FIA^c#fHx{XH`fU0RsopeiSIKIP3BekZI$DHs)StB4Cq|9
zoF`cV&1RixyD4~UkTIq8!<a${J4aO?`%c|LCgMk%8Nc$9vJbh~UD9X8lkZ*Y&Pza}
zwi@D#RPY}lqHxrg^Fb^uE;o=+JwYc1hDq%}0ZRDI<H0suR$^}4(D&p5mcu4jH>~xZ
zzCIsTShya3P?<;;@uW72Fombq4j=7_mvAH*?<A|oc`{Xk1(8WI{XMq_TnG^YhF)1Q
z(!&}l*D}0NwdhQU4^m?=z0M^t;FFK(!a7CtkiGBA;+PM88T_I#I5U3K$DPvn!_glj
zyzSRTLI9o7-sTz0fN{;JM3szh5N@w_4d4eo_;674g$5unymzviZEmM8F%ggV*E2IS
zkztv<FsdNnO?uD);LQMER8L386R?s34^?)?e>H_b_yIB&siuZTBM^SzB<X4Re`1&%
zgp*M+Etm-q>cf~<XJoN-kEqScriU!a$jUsMgszQ%v&B1FoS)N*Y`%A_sv6v3anQ(D
zVl+F&7UKG<Oc+l!8rf;q5EEEGWDsz6<+nqN74VZRX$pGh{Rs%jrbl~n(&YUAaJOs_
zprovzQx9@RymGv?c|`r#tCh)Gjc@HT(1Jpfg)Pn;cS}1~S|ru#sOQ?`*Yg490=C;e
zPo<24&`7P#lZh=ygj_}#)sRWhuJ*=jp=>CEn2~J5J*&Qhd@T%P$mW&Um6{1K_qahf
zyY?P$qo(c6qeg9YEMpULE#v;D{9`>4_&||sIjAFh-o_bJv7Jm4LaMz`17f_G|Hs;l
z_?pKT=|S&}C4V7xF;e;8Nrnk<!qtcmn@LP=$#}ny1EjLs?=nbnV&T`xY8hi;em6Ip
zEsD%v>7~S2lRhVx?jEvVBeK#tk>FY#&@R-mPtA8oZEN+Nt~Xx8-^~I2)6*bBq#1W#
zg!lRgNY13zXap^Gaex1I)%JM=*zbuFzD;plTLbs^SA95ET(<1)gw5Zs`kvCFVu{&K
z$KVexcKh28^9dVg1~I;W%~h7M`|e~Z$H)^!Bv<Y^VLeK~;R15rnw4!*g!o_K4zklK
zt=X{o`TS%cEAxFt0Kem6)x>nU^$~*kS35lV=pouvqzro$PbdJt^eFpSH7w>hB+;65
zwk+tUy|^Wk-TD_=K}E@XBxU2NR(IXxN0&F4WLPxs5K;p2a<INr+F5an(c}JSF7A%_
zn+M(Ah6-EMfzNfe6EEV=f&*NpYEtq;x<ND7v!s=dEu@mNd1>X{l0>T$s|PRnTysXG
zbrr$-&8A{Ebk3M1C*ysk<Fu6GeI}e2(rVcU^LRI)yO^`RoZ2QJ3SrO09CvEG{g28V
z1p_vq7YK5*%dDG1Ar{!fY^DR>CG;n!mSQrHKYaStnOq=^&tiRL7lPjQS=U~Kd*DUz
z_}^aVv>vIH=Y-|L|9NizdFEJ$MK=}S&EG^@`&tjfY)^h!%`KgqoOCYcEVtu{Am&N^
zDVCN49T~BXq>1LxyfcckU^C32>6f%pDo%LrU#*KWFZxjYT{3N1a%VTECN7;LC1b-c
zi2a8A0b~diu|kW#Lmge{9$o{57uCCaf5}&NxDhV1n-v4^_z!7kJ{l-g1GeyhG#hqR
z!7iGI{82r5_^YU(`*@=T^q;QuE8U*C3TP#UvvL<liG?EX2t&y`MMnAO_%aCDwY_=g
z=ti|2cj;#IM-K|Um7h`~Rpj3)m{~i5!eT&BzP&ai4?HXx<h9>Le(I`jj@Dn}a|G~x
zsO`|YJ^<><Vwv=>GuKMG#JtFmiHmK!(;yCR=YFNSSh^FY@9i*a>Mn-I^0s?pI^whP
zU&lk+9szU7ihy3da<w2(LkCXH2k|aze)tjrt1xlu%OqACS-HOU+6IO-oWHI@*8Z43
z2K**pH{-Vzn>$n3l4+&*zV+rixgT}FTL%<)x#FQCfT5>9j*2QshNamU0Ia8TTYCVE
zz>kqwKEaZiHviKCGy&nLFJbbxLXIy<LI7Ed|B`Caw1ewW6orfv2)zNAp)Ejt37E0k
zZ@1Hd*x63U9r=4BpF|)xv<Ohk0EN&Ctd-YfFzKNJn25FmlTVj|`|$s}_<-r%uy^zH
z!;1RcEOr*-s-Kn<UC;aJZkaK=CQ^}K-@V_8X?!-FJ&e@t>@815X7*_pKj095MiX1U
zj%!0B<31=wQFTHaAh?q)&mM3O_o-FGV93Oe8#W3G)^Qs%o|Let>sddl{XLVjjf|lm
z_Pu~vkMAe5IA+m14kyD<FfY0)3#x$10aq}VHuo&V=4)7PAhAR1PEJL5CU<V2C%m;5
zdM2)G$}K9VZ|JjfPU#z5Uf7j~#eSl!D&dFCir1l8*y^96SlNlkNE%m=lePlWXLpr%
zp`&#}pt4x{y>ktWSy9sgek%_lXy{VK6k7~Fq;bd}vlUwKM#7YGEoQ~rEf5#_XX65O
zt-KCTLYSaNUzAl9c-pmoT;w6XWpbH)%Hi-bJR*T#7J7uv8#tiD>ub^%Fw7{9D!Y-D
zF;4>YE6AZk6%ZW=;QvB#UWWNVLgUVT3+w-MgrboHJ=h9>+8r4A11$j2OHS^5y(IyQ
z?rbskn$S6x*Gh-CMuo2XesN(#eSN0$v{opoLq8_ZVwLy3%YCkuGVokE?Tx>1u7MQ+
zFg`RzH39+(UYf6$ku}T}J`2d4rnKK#DXcx?P@kDR#)+W1AMHg3UD&(-kXlZyzWk#O
zhs>=IAggWWu7d}ES40Zt{uehvkWDkKTU(8=yWBIVU}G;9nSK8kM6Nduaay*g*D1$z
z^6YIoDp2^S?CTM_Zg5I;5PPPHm%)Jw8l>%ZB8siDqfmfoe-ZlgYij@t0ZqaT8Q!%v
zw<Js;VfqluzF>QCxWRlhhg7~@d}w(l8S3!52?X^jn=0yDJ4-)8eUyn{LaH(*OQ_uh
z<Nzo}j($&Rlo(Ef(p~jPci-E3;YOj5wQFpoF(bxMq*YT#SWst3z0t*}Tbf^=Y3?`X
z%|yp`TumdJ8L$4(8gWef3229-IEqZ295Pf56_?&vfQ`3z2BqmEI(e%h6JP6ZGfT_X
z?H`svklA<F)pNh4)r(Nzn<M6P*aS9xfFQ}`WLXd}BQ>u0cpglbk6;(<c(o#g^RS?_
z1Ie=F9=o}~V(=h-7uzHepph2>q8;F?8#cXJFj)nPSWf^9NA5hS1Z13A2b3bZg}iu7
z<n1zX@2&UcJr6_G)d-(3en8G-tc~umj~?(tz{Fc&3cu50K}7kQr9YZybn8fr+3tGh
zf|`B^Hr5$LyMJE6&KjJKo2eyKjzcR#!B57OWz@`&lfqH5LTc}k;MG2bLx3qEv^ePw
z5%XpbqAAILtqV7y#!!c-Mj?OeF+V`tl$}&d*!_c(`NRePYIk9G<4-l!yiPm+%9JBz
zRe0V`om&zvqsn-Hti-pK!!S9;G??73>@_QBhkC<S|BbiVBjeHN$7@x==6_!FSw0;6
z495ehzt+*e`jr`i-J!{nS?GjB@ds=lt;cJ5#iXp`43>XAY#u~zUR_c}ROuQ#y#3Nv
znir<$^LziNf6SS!QJx?jX=eP8{_`tZT?>3Dx+{b0<jql)LoUtdt@CedJ>w|$n475%
ztQXRsOk3XF*{R#VmrpUv{PsRr@`!NLqK7`2mR_`Q>11kwPDA`N)fWpqMXd;z9hx8~
zBl<R^Z{|NRh^eB^(Tub98}Hp3DL-Uyj1rx)pHc^MR;SX<lcwA&5157SrN#)XfC
zk?&vyL>+;-yyKkVcaoWOJ)#rHEb_jDwDs}eXUWOsHn!uY{*98ws%H5yRm1JB>WL-e
z>U{q*?T1G=Cul9;g6syM>RbY`7yQ7T3~W8ueaou=8p2DqAh1`W3c~hUMF4gw9)Jz{
zfnwYHP!rgBzBn@j&{@JB*@9pO&zA<-PZx!2S-^$-l79Ao%f7=&bF}}IF0K?gbSK8?
zeZPJW`6qrvLmzLdvkf?Q1)Mhg9V1$BcC%Hz@z7tW7m+IZQ?!R)vJ9E>4B0>bp6Y#2
zE{mx5Mt4z=ZgxAps260O!?0(oqxzDmaFia-1wDv{NHLWPbn<0LY~tf%#{ZIzGpsBt
zRlKl@*I}ej_OtK}bmIQ1`{50S&M_&Y68O^S^=Z5Sn3;UK(C)Dgj+=qFPcHE{6e*Pq
ze<xD#F}3+$R5XU}<wZCci!tJDs3~!pAs#_}V=vclv0$6126Z|Ko7|=75*5Eam5;du
zw)l*;?U?Ft=p7!rwr{JE>zfPiS-#^>tcu65ONud5wRks-!Tq`?z6=bZX2MsL2k|dk
z5D(qq=%KjFUj|OQu?;bce=PN|XDhHD7_$jw^Db$oOJN<`IWi0N?FtAu+Zi~Lcq4{d
zJ71c!=SjslU=F`oM<uPVC!u<*`tY0LRT#Z6e~_ueA^78sA(L!nP`_ymxu#6+c%n)G
z1JC~IWtY+_JN9ElwIh4dYaah8O`K}*=VdLCY_WAwJK9tOc`wb08}!k=sC8E7N$0Q+
z?K!eh`g9~F#6vWqKLv;zSWZ6N=hd9924ZhJG`|pHj~AO87abyfdw^FTc>8Ie#sa6O
zr(bfbDTKW4F7_UJs=xLDPN(Z=o@GCyu$N5A{6zT{0G>L+i*SMFO#L$IahrkOEyQV#
zY;8TX$Mlc#&;Rz=sM;<uc3e?%T2S*Od(cH7ypI!&AXt);*%m|Ph$!T;$7H*o&Vvd|
z@)eYWY$o?L1C2ZDF&ozof<KUYdd1^(pb}E^FHJW6GSj0f9D4U$U6ioA)&<!77MZc_
zF(kkeVINSw?+dG>Uw>fwEI44YlfHd$J0?_{AO1V~4{~rYGVS8i&rUQ(|2M^u&tcLf
zK-SD1|3@L^(?m^zFoK|s(Bprg1Cj%+7@O?DX`gsF55=|wA`m|DLqWexXaSC-T%<AT
z&(qhjsCmvHDJJDSwV)p@-4yGD7fSbQ1&B3@hr(%7>OnZ&6#<v5Ptf2&gbZB`n#<Rc
zMSH{1W^ZsMTjEDZ$zvy~CYtia(;f=iSRv+L_Xd@vKfHSLQzlKM%!+IXPekm@_@V=6
z`FF6z&t=8@4UzUn2@W>0>heSps2PMMir%u^O=OV780og^wb-8?TYA~~bEJnqNB=^(
zGs$s=eod~hFrnW^W{aSCgN1Fru3>*KN>mF%W${?Ya6HA5N{U=Qgnx}*#$0hODTh$O
zg}8~Mg&Ufch&wo`1SVNwGXMB_F3h652sQY{)LQ#(n3&s2vyk)#s1tyA;pX~!E`_KU
zx@M@*MXoN(&I6mvGawM>Fdeb7wg$3f$e-DQUL+|mz|fb>p%=;ci~krX=&W4>=zu^;
zTc7iER-e;Iv85BH8sh(0;|^HwJ%&o(B$Zx5Dc;%Hklf2S@HS;565X)(8Nv^{3i;?S
z>z?HnW6X5c{j`Lyrs53F;=!VUfbCViir_|rFPxVD+(}gdR$a8S-p_Onb}9Ac-I!82
zItH|i1Q_6{wg!#{<~R&l7p&rL-T7#WUW1yE<ezWHf3fS(_Ek)rsdJ&B$y$iGd-)e2
zi#YEl1ZmPyaJGYKLKi;IBZAyAa>@AZ=ujU#&~O%w0`0E;0dfe%;#auRZjP9QV!^J9
zDfB)4G0(*Ow8OX}C?>|Io9(JdPxq)=aEf-5zwF$<yNU$sJ(RyLMK;abZ?l$^6b=hH
zO21886T1|0Q;5U;7EwGt{xyV@nx$-4S8%-Ce+AG*0#j6OAk`K4>Rtw~T__X}k0-vY
zD}Sb;p*S%B((mOI-OXD}v%Rl?l$PVkP`m8gfUB2N2Lk52H==p)S#;@HTy=EPAK8*p
zhO?c<rC+dW9H#R0<^H}v-Xtr4F9z5+teRChlCd;%7ys?E{<Uoql-oYoKH0L&jsVNn
z&=rd}cMecN6k*4#yjm*c=e3-RI=}SQG3haCwKiTwIF6JDxxbmDHhQ9Ok>7t8olQVw
zu44hXMimY6gKK5x|5or~f4JhFd3Ha&t|KFyX`Bg3ilX>j++zlM7;DH2?8Q=S0hi=_
z>iI?O($p}4q1MBGB#tst3rD;Q{te@m>BoBKl!H#Yn!=)C5~xZ>lqSS*pVRvus>4Hh
zIc+jlAA$zcb(EJV64x91-k4-wBt3w)O?-viYZ0ueVIWC;W91*{--8bwOC}R9^GzG{
zqURXwDd4<a^rJILfAxEio;T1$6AfOPT)Vgp5tEE_6Fe^Vo?8OLTo*QsMPOH&IH*8G
zPOFFF1JqW)@y*qk$N*)NWE9~k01c-(`2-|@0$H>6fW#L81*@#IRHypOCrOGY00Ss=
zP*(eN?fZP)|2Fnz_q!HKvHYL9dHDtaFiHSf=s?xhmL~+jxKYU641q}bs~*LDXeAKU
z0C1!M%YZkKV{Apz{35tnY&y;IJO(y9M~7R3|0N=nr$4>cM$6Zb5>+5z<Aft~%PI)s
zu7+!&emKN^jeY}Jp36^ZSToFgZ@h!Hshe?UK{Yby^h1|cb#0w62t1%OBSvG!fz^wY
zbB#2tZkg82h;f3n!ywXYyL^Gwz!fkf>Vj1&V*L&L?tAkGlu)#CH8(O|x3la~{8<!o
zAufE{{9)<~ud4I+>I5n%u7_Ce3v5KfOs<X28@UL}p~2)0<^D6LprUWK6tr%RMv4+p
z$XhcgQfRC42(bhGalfGE@kUo6@-jMAV-Iq~6<SYEmpGl2dS6A5S0W--8(f3J+rBBt
zrld4XB5?I_(`|>(`=CHRH=nbIiL%<G+NF*ydHCe5*Z1zNSICuHf-Hx8EUVaG@jccO
zoRRrqFkP#gvX$>E^&6vOT>bw&udTZH1LFMU&UW0TlR+W`#KKdEocj%jnX2fyh83WU
za^B9YtA8&6ZWMNlX5?APrH7L(bnIY6;Y=P6;P`^HcL1`MlE&9op=J(;Qx~v+IUqx<
z`qBPXsd}Z|2Q)BkwmMj&nt3FgqNsA=;E3vF>nTjoc8#LNGydX<HxTQ?)<+?Enuvuf
z<c6YQksC(|*?V@gne5QGiMOyHcG9N)<K9OnD-#3PiSaMwCLZ*l)VVpB0$C*R`EN7}
ztN(uF2`VVvO`|N#>A5*n%-?7AgI9Tc8WgW2uS#vL{Z1RC5+%XfCXjeyyVu>N=Peo_
z?^E*{O8cotpVXVesBF#w(?W<lB<j8Rr}*$$6Tmvpluv8I>JQf`?-MW!zw%M{Kr^NO
zv7liOCG=`q_#{K)459J!SkM&G^K+4T`yp$2bDlL)IN9G8FlR_`n6hu_&-~D$`3M7=
z#~v|MnF!yoTKhw&S*QcqM}3wcJME-C^j_h%<)&F9?<4`%ojOQz$`_;C*#c6TJdc9M
z9$qw8cnk9Riq2ewi3#e@#(Qp}aKq1=`8gS_QKI)PXEI8li675jBr85q(ZOp7(tjvZ
zs`eu_`NEkhf{p5HO!tFC$ytyv)`vx``qRXGNAKX&MjmVV`)U`f?Xj>on?Gf~*1~-k
z;yfswgzs8&!oqpKpyjlhDB|FDuTU09FyGrrqoaxPV0;KS@y)qQ71><+R;xF~t$+*G
z+wASNCcgAa<<IJjTWUs$?%H^2Oyo1jgzKUP|2CsHvMilo{)5@aip)E8VjWrX`tl`t
zF_a&-`24{vUBx77b|vu={&YV=ky@@TUrk7|c^cOB)H@rRE8iZiuerdx&Qs_m^zC~T
zn9#543o;eQ4bhjhj7R3b?XP{ux|N_|eabK<)=-l+gm{q32SdTqLjI43Zv<)}aNYJm
zv2J%KIE!d<4wB0ym?#X?pJ0Km8_CBrqg0!FNtM5bMVRThk*@!aMg*(I+>~aDlhnhm
zwDc*Mn75fe%dc;}K@nZ@b~B>-ZMBYs{*-`LW4%jxLbGF%7$LeORJ~vrX-m!>Ktv^F
zu(Kz$Jg#LxTJd|E#&@4=-jkS-%H}N-8{b}~{T3}4$HlM;gg;K5(QJ>IR@WFz;&aE3
za)E;Q<4R3F5QA>jYdgq-S4=-6n=+*^_x0q$!Dln*j!f8C8+Y!{)Fl?lYDxdZAmQ|;
zJz0CM)oW0<d*DSut!-jX(T3s_HtwWJw$G9l9d9LO1;>NY4m_D=4Gklem#es#T(HHe
zIO<EKiS2vS1MC%Xx|0}Go*q}8+cVnr90q7330Rkb-2|Y8o|Jz)7WDh?gJwU&q2t2S
znfR;|+6ak6jIaSM!G6`&3{-opo_(u-qeWGriqWl=QQ4U+y8nj{^kJmV-)8S1ZV~IY
z0tZG9S|i%eo8>HfQvVj2@tWx%7}x&G*sh%MjtBYRNUzcw7mWWWJhOmK_2}bIzmLiF
zf|(+dWAduJ(e(pJ!I^7rOq+=H0jZg6)z{rvBv)i{n#+IgeZF=ED`ZbOp;9qD%2N5F
zy$#`JBN$^I3k{4-$ozw2C*Pfj%ZuO$@19VFtdAhCjsE?Q*AvVd!NT*^SRnTK!ih9Y
zk^%nW?c!WIi7GT{1=Me`cWD3Urx2ZUd@(w-Qlq|`SY!S10?Vim=l<J23~NnU<6&~^
zxCiTtaA04rjLr0JX9$uMwf4qw<R0YOpIToBMUbs>jBpIyn}*r~j}2h@n*{b+u|OCi
zaLz!&aukt@dWbLZ`T>g`OiWDmj;H?}@9E9##8ugf=93RD&d^$eIhR!}WHNJkEte5R
zI&}VSHYW;f_CcJ-k5TU&+lY7NyZ?@RA?`NS;Km#e|6hS~3u8>3`I2ES@EmkAmiZ3T
ze$K7Xj>XEP(3V1gz@Nitgq2Knf4hAv=bJv0tva+2$4ba}!bVYOkTvDls<oFxrn&?3
zr093Lk|=Mj4tNru(jX8$HvAgI(D5YD`N=909@0H4&U-nv1*kn^kx!DS{AS=A-qeN5
zHAUP(R2<5=^etHEIS@wa_<Y|cAxMp^TPxy1S#hA12&pDpb0-lXZWF&@QAle~-JN1T
z7VCqP_j}0SuK<(rg+puLb=nIk3kO4IfQ$_wTl4v7<%u~6_HaI`0PG2afxyL=l!(^D
z8h~l?g02M;`}#;7WuKoOUurKPFwP3dSOPk&jlS4aLFkj?3H<;0VB~Ul$iiC)*KO&{
z*mrnBaO+}NQAQfh?J%Bl=eI40VV6uNGMO<rJy^I8WxbV|jJN8J&DIF{n!%<EK7XaL
zvB->9Z?PCn(Yt-DK)Y3<B3fJrRw6ESBapdYqPp}#IYI7Ll9uR2Uw<$0VUCp4_ry#E
ztb6ZmM%eq?@FMRDpf`D`mhpnJX|C3PyEIkF(LOXZO?ZW36&h%ec8BOaEOhs1(P|WZ
z2Qi8wvZ;2_ek$;hqd;nz7O?tFz}T!CJ1x1qftk7@%l!)W?GUGp_!G7oOX~=s&J$|V
zU0~&Xoq*9Y5qx)t?^-wd0lFQTP<vq;586u5ijcl7XeC`+o3??woDEsKB+&-h2RJOC
z?s5m_RPsW%n?TxLCh%vVmskQe=V7njJ^>+!SI0~DKO<R6N=xqtH9E%sU($mYb9qC9
z3m{TZDU|oV-Ae6?rFdSCWCi{gq;uirj-cv+hjUt;DB0f9We*#%Sx<FjEwqN5P@M=f
zJm*4mY{=3Fx68e8ot&uw7q=>CVewVIwYYc?@PJz~uc`+dgcEe*6a5)HpBMder=c6Y
zqHnFASlk7s9D@&8BPZ$e$0t`<`-6t2T~Z}aeQH&xlIlOf$Z2>tGhd^P8iy`u=Wj2E
zxjMXj=m?)`A~hLWzhWm{9j?xMemjT|OYP@{=}mU?x@M&t^zD(u^rOhh4p|-^GI$Ec
z4|TBb0MER(qxMhnNA@zXJN3dko}x38G<C)0$NSfS5cs7)y_~WLC8hCU(^5~n9NrC<
z$rEv|fLrAGWrm-Z!tHC=q$O~rjsiMGK!MzBx7Pi#-UV(~aiFXn<v%C`1ItPvVe%`*
z{Vb5|c@4lvj{%W<zpL)(+ti^gowDoQe{X}>0E`#F^@=6tdjD+wKP~bM^n6ka1f3Sb
zS3cYiHTb6Bvr2b+p85Z<byfj!ZQZhl#@*e6JHcH81h){}A-KD{1^3`?!QI^<xH}2%
zu0if%|NC4!Cl9>jt-I%1bJVE%iVp?G7i=s&x0TrS)&RU3qcMPsh9EITvG=>#(iwus
zb|a*`@7Ms8eo~wB{uW`#>Fl#=&vOe9S{e?i{^Yu38@~9vk4{_tQA0k8smt3g=#^J%
z4CKd(I`z0i%;5BzOYx&)<tg<KR)M?@+-bVKfD8>d<(6|J;YENQ4;<4C>e{sk7|9*v
zz$4Kq8;UnlOCJ0py}uf+V6`YVpW*G5%TRD=$S9ge(Xu;~XRbY3TP3*mHA)VZC{G?r
zDM=-MJ=p`o^qWiLX0H~?=EM~@MKkT8@&SiK%UX^|AaKGZqVNHB&re&gZG!i?>}q%H
zo&EdXzB|EpZe?XPC-km@J32a6>2`?10uNF^wfzgU!(4BE``49R4>4I-O$Vcs$rR-N
z$g&{d(yMo76Vux?UqoD9j}uIMkZ|FBrT1NkRAV8!F?hxhbYP{fg*r;eo0;Jkxvjp^
zIJ=KS!Ge}UHZzSTFqQA{&6~`cU`3&tbxrd#3o}yiY)&N4jWxpnm^AT<fTb`eEpW??
zv*W>8g2K=G0x~FGQn|1~Uxmpc7@B%cBI&lx{D>)dJ$BQSDVnZbqYNR4<0Ze6f543|
zgi~oVyt|x{7f)o}yNl9t@NJR1GGJ+d4eR2wMy(#aTko2nw8x~K7GKDc<cK_OSAcmy
z%ju^8n5fVT!xRpGZS~yJ;sD?g_<U;X`|gfyvRTgpPBze}Xb({1NS>xbMPY}CT-Sij
zH!$9I0%i8U0hF?(nVH*8oFu@80*>$M%*+g+L;O$Rq->>s99g7s$zeL0c0~&>n=YK0
zx^PRZuS;~^S<!puA9T%8PL*u>g_mwhU1;5<wPTZ8%wJNCC4alHJSVp)+hIJSDu2lc
z-77+GKS}$|K<lCF4JI|cmg$J!0N%g@yhR-TLixyKZX(dT6D8Us@|kphgMaQFRdU0i
zlFNyGxxkjgmuHP2Zj}3NaZLpOaGh%FThtVchV6;jwGUA&5@0fJgHF#q8BQU;xI%)q
zg+c5h@mWWg82Q)FynZH29k9>37ka3xngi#}Uzs3K2s*p-hfkuCG-@VsZklrCkJ>09
z-mb=&-@BQB<Ld>SSD=dbFVI+dAEEbb_*(WJ{sHin%!}n332)~>UE*tnt@rV1(`IEw
zMaT67UyR_>0XPKod-1$3&;j@_dyk*lkjwM#WN>g0sDVKu<gTu)v;p3Aw9$8d|0eV5
zZJt!jXy>|th)q|-*135$ubYUc74}L%aqXjb&~4D}jek>NOfE#Y{&D=_4g~{mgKAG}
z^u*V%V#u6U{+7U#iN+}sS<dswfs*ZqY+!V9h9EQY4oFFxh_`>amW9;t5wz0LgcYMb
zM%v%dvZqU9_0=j}sIRPmI_cE>d@(0ve%J;7p%e+QC0W2<m;|M?!4w=|mpxcBBbWb9
zY3a`{MOEV)r#yRTYX3&Sl%@D9X7LHWx!RCneNd2rWv8E-dM;I=dSZ-fN+{@0G@KKv
zdkTEXpWi#+J@-&*4#A=<+TTIYvbp6FJkn91(<rfEA<xB!O!yKJf%2JquFjg1I&}c$
zoZ--l=N7;Wlsy$^IE(_tT3bym+BN_@0r>C^(|W$Z{Y&4#uBr2&_7UgJf|my?w#3)s
z%1TDfG%X=x;zI7>x^(3Z-LCoTe=fts24RhC`TC?9_q&N7wR=ckplM0Yjf<*M8;YZl
zTZKs3I2RGC9oa=+Q8AY9%?{(ok`o=H2s0)~)9ouG94D#YOLB(A^VGF}yT^ulR@t%`
zk1K9t;E7pf1C<FYU?I|_Y%b?%K*WHhcX((DM!|Q@a({!ul?;@Hl*tLhs;R4@69~2{
z1Ihmk;M<Y?j>-k_(GtPhEyH!aAmK#&GKplv5>Qanq(GEvxS`UdG(U2-(^P(;5JO4S
z<i2#PvSc8)hj8eio6V_-_E!>d+HO3fyj`FGH$|Cb20*h2?gG~MfCu#p(KDt;dbxZ=
zA~L~%{p{>{&!|s^g-ep3H;2PlJK^B`_8<ITUu3{&Z&<c1tUXSVHC$>Yf`*$~qcVhP
zW@Ew14Wi(12SSa-bqDCe3Wwo=U<E#2EzEDKOf1~c^!{YUmCPYd*6Pqe>!4XW^({YB
z3-b%Cis=TE4G|p}A@6lTD8((XpT{D;THOM|W&vW2{E{GA=KZ=66H<`opPN6E^ABUw
zp4->(7Qx*`hVtFVIoX0EO4qvr6_VXu6HYFn8EX>}f`+a?azr;4B+a-b%Qk=VCmV;Z
zlum12z`MU)nMJ|tKH(_SrIloa>4d2NoARa)^}cK9aykh0wV4vRx}Q;_$MSA}IQhM!
z)y2stsR?p}yMu7vX2`j~MG1Ax^xZ%t1e6GhA9YR@gvTt5Y=wks)s{{_NHek&4%&O!
z+FS5BSs<;eAg7}oBDWzObAI8gb&C1KJ)Q>654Vq#Me=p`*v*$gA`*dPYBmvVi|%K0
zbaq1R%=e{_ZGx)fxS4ByU*gc*Rrc^9z@nScIDF(^qMJD!ACz}!o4ANo5&msnf(0V8
z#MCo(D|Ii~0iF4d^Q5bAGkX>zTZ0=(p>m><tcC{kG2z2BLi+#<V6hNHAn#CLf3nfR
zSEX}b2yA<S=4o4!ts3tC@&eqC`MxarzHHogro4I16i5M58W12M;B`7^cfY>!eBcxL
zHwKOO;GjIaR&nd<?f3!f$TOv<^V)EAI0=HuaLC-P`j(y=zPD96_oC;IFxix75tpgH
zMQ=eN$5s4azoh~Xj19!KSJ^(jAO?BRN%L6C0Z2|Vk%*Uos~2t1qC#V(uE<(zpUnl4
z6K??S4t!jS$e|XQ|6BugD)p*bP1uI4-AU0)z7ozjVN}YTD<lHc8`R>G#CUQu>xc6-
zC)?iOP84OqgSlD)=ZsJnhI)4i8!;5whN;T<G7x7vvBfb0()k3=Y_;}a<QT4#``HAo
zeMh>Ito#hSpOw|hOe>VxM7r+>)&7LAzm$L`Li6`tl+)JnF)#KU*a)4phk$&cokGZq
zU}S|+pE45DP7)DHi>(w!Ef-+gt<Y&}%qO`4u39Pd+VcPr35l4WJIHR`d67}CQ=2Q)
zcM^ie-5AhxJXjvsNUR^-<X+E559^CNO=TicG7oPixa^_HGrCYpxD`!V`o}{=RbnB>
z{vz7L1r}|K&=#pvC*b&Bj+N=8um52Q8wXdd%KQ3rv^UIRD{c}cc$O*#)UU)>9Ztz{
z0o7;o2fyO`;_FFHU*jhYbc_m<!0$)7WKc2<NvT&(ZP~%73m>Fhn3AZ&Y(|Cc0w$*X
zLOQwS5`OJb?rHX{g!n+QPg$p4-b!OJ2brE$ryJ`JSjWs$t3G?W&}fE2_?N`rITMgD
zt$`{PaRZcD6MAGpgEc0WBpi&j4_e63kSmmItDf<SNR|D6=>(DMA`*5=lt^<R$nraU
zG<Wh=G0m(DXQ2t*eYDa~Frum|$)dlO_nCKScpL0aIgBPG&2r;WdRFkms1+cPW!#PR
zl0*$4KpT;ut~G@8V0La41%JL&Qhqu>U4d&7Nu9weFX2IN+0_qyQo>(MQPmuwom4FK
zZeezGsWAfqbj)j9CpJ(&+7BJ=Z@=NEsQqk{TC<|{FkLpDAvMb)=;7vA{Q_8B%;`9=
z;O{{Z)j3lxu&2jMw;v#kNNT~P{S-nqH6{GH^4AR>mT>=Ce|NhYp?<fc1Ct_<K7G3>
z79tYxxG_o5Y4m-21qiP9C(CuErL^ZAO$`m<GH>^R|1p~e0yG8l>oluP4JSDz56#T|
z3<J<Z9VCy-5BYs${x@t3R*_NzrbuIq0_`uf6w+f6df?){*4<gAkzz1DY3pS5RvDvS
zs4NB(U5v%1;E2$duxOBo1R@Dz6QPi&ScXZdCN}CdHB<h{WZdw#Ui!TxAl~c+|3!B;
zdFyIZ99~70ZF6-XH1+}_eSYMUVO@;It}@)Jy?Yj!jXmx@ByMl}lv-`H)fY02S0c*n
zXDJhqU%+Gt<7z_-M|P$ZfFUc7dKNn-b@2_}CodK2H3(dASUlhbw3T2f&UNctUB&b8
zEyh}h%uaCIqhfEAVIl?gJRkgCMFkv2m-XTu#kiZOLhN}`BZkbg^SGZa1T-)LMr#~t
zHo#B$|E{@#wMf|9kV?b9DQF-K(W@n>N}O~3OX>>i6wWl$&W$_EZE^FvG)euTk!E#J
zZ#wP_E2Ub_=0O}x$smT#;B<E_T9?j#Q$<5DV|bC&9|Fvi5WG<@Tf}agYG}DqcPEFo
zo*>i^etWexTMjGA3VBOmE>gNV#BN!*>CK#^^{CZdHhq}YN*<AQ74JaJNNVj~2+2Kp
ziog6gCB9K?^C6bE$PvB=AMM=PzyW%PuEDXQ(^Z@av~@ELbvwdN5U>y@k>Ix*524X@
zPoG_w!tP4C-><-CPg64fL^{d+t1GH3g8wMHg6YfGF1FJN7gHQjb*=W6C<|Td)^=gN
z6iC`~7L>W_!2xpdR%!Es^6KmGt~qSq%iIWUG!7CMYsObZZqKXV{h|H{xk5XA$+Df+
zx#)A=JlMe*TT~!iKR;xaJOS6%B%*s;vNs+oWN~lj;Y|4{L$Iu|XAbdQmtAFO$71#n
z`2cv|;LL0IH)V~7UZS^DD^|LdPaSB&42YFj{1$LxZXkDZSz@e?X=5n*7UY516t#lr
zW~jcAv@l(yx-WC*?6c93$>`lud4IyEPZLbFACPM()s$F7v3;E#)75fAm<97RG#}op
zP1W?gRW*CgSDUI@THc!+PJQnF|NXTL4q~}<tjRwJ?*mSU1<l)iFsP>iqdH@|)xzx5
z<rWd@yw1N3XOCI*LpYy1ut?T;CcCc@vAimhf8dLE2e`CdFX6i_iGJOZmFrg7qXJn$
zLRDCM9vUL7oK|z>6q+UAvV=nt3{ZmId^XWnZ0L#hcO8T`bN9F2sV}6LmTBkXHCFCE
z8#4SjCUw{eSDjvOJzX%Qf9)2_)(bVMzs!Gf{4It+Q4(x8G_>%_$2FSEe&=F;sSWH^
zBAze<xf=`S=9Ao1MkKiiQv3SXKvx3iK|%cm{IgWk3IiuGPXE?GUO$`s5&j?;DJgsx
z@cnfykjH%wO*Nt_b9gmJ41*!_OaKECvCJP^Y&UzWHpq=Dwj5&#akh*54bO7`{7mA$
z6Xzmimf}BY1fcDKx$AG+5d|PUzf&aAQl9f}qu$2fbdZP^Atw;qHxm>T$x!0-g|a<=
zDpHQz9yQzcsTLWHJZkq(q{0St6d7odFTG5-B!qZxkzx3c&0Tixw!bjk1i9N901=9$
zO0t}FBic;xN6#8-H=gptQVlScABK3nPcs@4^obusNxsX#!PP&}xCl-8-!F38?fHIz
zJE`PqoKrlFLNGivkDdsLY91k0Ec)nz@pr43X$hO2WyE0MVyk02_q#gELhF#%?bhy@
zh>paW^3^feIi_oSZn*%Cz`UtN-4IKT(Y7AG;t5885C@Cqe!-OG(#LKKOyZS=Wn0}0
zs6)5pl5^jwt#P@FjH@k7<7~K`U@(NXlljULh%P{FGK%K;1}I2Clcutk)+!K!4SjE*
z51In9#%j9mg}}BBaJcyZo|zCNf`ye8kK1`QA)sRzNX?w9kSNT50N5q~=f%zBv5v6{
zd&6SkQFgr|_+@FUarfaAD~gYT`+Iwmd$f1;lj6o^TvhZ{D!<VA<c6dm^muMhy@4?n
z*|FUkdv{(ULZ0(<?5L8N_N)(op-Xy2Ya|03QxpQ4N{5Cql$eR&-?|)WIJ*klON^3P
z&YJ#T79<)!YT!RfxPc_ovxd^7Ju9Gb@R}7$j`1`!gZ<4Hzs${1F`?7*;0u^4cmI?j
zv#Ugj?FVnifjeNA1I-r`5=}*auLrpr#)`>4HjuUAM8V)NMGGZG@x!1_#U%t7FdK}8
zq9$X$`L*jg2j+eJTrl|Nr6H^%Yk$f<udx8{E)0rC@k^0+DUtC^e5SY!LX*+{1R2<h
zY)6?$&Kc5n(s(7K?#kFHry_MUgVjZ2f9~3l-SJc_!!sD%HWy&@?1F2!<p)_7hFJUY
z$prI<3PKg*JS|dDwfe6p@xAu5d`^f<za8hkL(VJM12`&IX(1dsZBWq%MAnsWl;clO
zUou$M9z)A(kRk22ZW)9pFzM=qpOz8^WQsk@#pB}4NxP|SVLCh#^PAGZfc-6?(6j?A
zmG|Og=9IA)0Dot+;s5Sk5V|c@=m5S;J%FkXund~4mS=zsJsP>hnllc<P}lvxkC^`q
z$L%!k_gfCJ-G|<;9N)LM4(&G#lJ0{X&v<C^h-B&D-CTxAS`=hNN2D5d$#2Hu?JG-X
z4QBU|HAWkI)XnjzjpiN1c{h$>_o9IuyrPtDtneI*2-EcIjISfqN_s;9F1MBLF?b(k
z26isvmon`_o~G)kj9owBTn1vU>FOd!hKfEqkM7X=jFofsKY_PZZkIAvZ}M5?joT<;
zpL?+m+22wD0tYyoQ(-JV?1kt+`utFmt#f8D<C<SQp@%mHJc<>OZMy$ZEg59&uU<-s
z-4A{AzkmlEa?8cfjEK(dTGqZ0<Z9a1)6gTm8=w1e&nw@IS~3qkyFu)7k2+Vv1>r}7
zW#y+k4Gs(>Jh3jeuGQu3Z=VtVceuF?clSn!+3}ZynL9#AGfiL=LqDJ#i;RNnu>R&+
zQG)u>5mV;B?{{m<uLUcoaP}r<QJ64eYdwTo>}2hV&ev-;ndyp8_Utge&>X}BS<oq_
z6254*g!~KK<XaAiA4hnhdeFZ7&}zBmnYSO?Aw`84(NV8)C7X*BmZp@0#F=|`5{fIj
zWfQruuA&?K253Q7A%$w1fZ=bh;=FOjI0-eSeS`-aLBMZs)dG_`Y_C_}kml0%satQU
zbbnkuz_|9cYCq?C6w>FA22r>PH(w+6<p6HbpZe+t`AaTziZ3EU(hEUTe2HQ*iSQHP
zx^z%R0Ur2cMgv;iqu)I)*RFT8QVBemma%QBUo!xB=o76j^pEcSMT8VA2JR;{UrF!9
zGNk`}SlgARjVCrf)Nfqu6Uf}pQhPsxz3IiUJRYbL^q&59BWw-$OC-%o2S(Gg4`)bu
z9++C35AYDH|3=XObD1=eRuA_^IR?vZ&uCU<@$Yl=Tf_1nVaH{xg@|B`-|>+DY7WP%
zIh7yM;+<6*xaF?H^F7)(+<$DWfP)*YPq$DVM)zB^_mLQ3#a!xs=m!KldC_g+Gt-Vk
z?;IlWORr`G@Sc4NhR75wFpI#;TcoE@yUd-+QWa>1#+>!&<W1Tr2aqzVIT{UQExU+2
z4=z#@AS~d};|NQAc|)p=kO(lvuvkCjNFFlHRI;L38lfe|chT5pBqjs@BxVykjM~it
zgL5J)0P&tFdUu2aPNe^ff%GwD3<;NoRNR^O4H?M)0v3t??kCS)U>W^Ce697v?8!HK
zu!dvai2A1y$^-QC%@|{GHx$($LxH{K6NWHLN^n&7q{j6N$|$49e(=VuqSgwl{iMIX
zJ&-l#$hT`93}ae-GIlL7P(Zaf6}{wK5?pL`nF5<}C*XlHL)2I{m9q{mqK+h5A`&$a
z1t)~q@gHNhuj>DUHA_alpW2InfMmI3q(McOfqPfmC)THlW!CA~Sps(Cc5H4H1JZ$Q
z>3tdrwuqRJgo_@67HLIHUP4U2gWH0rWJcDDGj^0?s6}DU81z}ngY!-^sZ7NNFtJl9
z$nhQ-5P@vtJTLlt8F~gUbHii9LL;X@%PiHWfK?bS|IiQvkNxsMTL~T$xy$NEXd+*K
zb7)IW;q0zsq6fg76$4P|fVHXMeuksV$<p+~f=dqJ17HfO(r&o|%FwMXE%^W&3vj!R
zC9pZTaZuv<cR_X5{a5^C)Zgaf8&p$sX+e*Gfm}RJBF4`PoV$p1u!LWVY=aBzqE%uO
z@?B85l8k(z5}ftf<vz6`vnSh<{?8KDs@<c;{y*@mmFxo0M7c9fyC7`A1%w5nOyGO!
zlMoSkaRs7ub%Z;a=5iMNDz+dwalsX&`&?{hQJVRyXZp!VwUQ^ja6e5sjzF8}V}NtN
z<UrV>$u!mUEr|bQ&3r%#n8r&*@gbQ<QP0SRcUz+XpV5Tp&d{aNzWIr5i1itl7u!Vx
z*}f@W$jpUBBozrToop$|c>g6ek=Q~+4rwOj5E6N)Ug}QPRemTBL_t8*<pWQV{QRqi
zIc}8a0!XyIJ7jm0)Q|;krT`UH8%RLhuQ@6(rL>(kt`0^M5r{Uwz5abKLjmlQF#x#h
zdVli0T|6y49msgT0&JYQxj8~0;n}p|Vab$oyxH|8j-yi#Floorxh4UOBG7^24zp1w
zCQz+q)3OU-BQ)FH>|6J>kpCkr4sIJMtk(JD@24!3g~nfbX$dLg)X1PlZs9#ZqQ9&`
z1-xQCbNYwr(0OlhxZP5nkCXeYjQRNFgGH0jscCFd-6fvpVq6fkq@tI7{H9XMvPiby
zt2G6MNgHumv$k9*UoC_8>!=&wjl1WBaZ3({!)@DaV<mRe<nt`nL+N>}^LeD^k-;jf
z`BDS&LN^cusLpSwgU;gei(C)d)HWSQW_Y@du<4dEL^);t8G7Gq^Jm|mI%lf56V5js
zwv7Ork3z9L=r~fl5Ar)4zIF?SD6wwIuijuf1Kkx}LNm-uWsuNTuVvZYP3@qn(iY#?
zD+6h?E)YcN_wV|9*0%pEwa)n%@WlZatrfnrW+T9k3J_pA0F!(&vtB3gU%-pG9QXkP
z#;XjVdInfz<1lL012kzM<8TZhj1b5GvFa}b$%8Oc%6kFkf2&FXCU3hlMTw-bU3vb?
zegvjw{U;~X93jPjtwcZ<ahlT&xFkrhJ)85K-<zm9^e4*%ovUsXqEHYIO%`A6p181h
zam_MCy6$J;)R4ZAIcVTwCJULRGQU-Cja+$n+NHuDY&J_?EyMqdu`hM6+<wZPcmg66
zk5lm2?L!!wH2PW&WQ)d+fRF(Y$OqF?1@vJX@{{mX1_EA8Bn$X_OCAmNP!?(6xMQy(
z5$f4;D$QQn4ys~lT-BggDBMxVOdf<CQ#?t=(~dT^K`$Y;i-=tS*5;=z-~3A$Y-OJZ
zPmIpC%=-Yf&-T6g!fFgIQuPS>KvYve?A8bnu}Pk{VBQHYNcit%SkZWFRR1%2X#VYa
z@=g1Hh%(<EF9IZ^5n$gc@VJveEtdwQP0oRQGw>I<Hr@SSOG6YA!L^pY=U7cGtx3VZ
zCqS4Ss1p}jPhiB*Ao<4_YSigyK}UBZKg0photmO!l0>nFnQzDVNJUxsogRe{ES>`u
z!rO^5l5v#G$f?VwBYS_NqfO!5IVw=vmczpxZSS$l;Pj?x*V!l^35t7Srs2dAGEtqx
zQo}R9YK&ehZL-R@ZPrFc=0<I49Yi^f>mJNY{&IJ2*iFHRRad*l_?3CATVMYz=Rw8|
z^UJW9x+WFHW8Wj{_$1)Ab<m3zZ*0!ELTt!RR{BL0FE!(h87AEwX~~YoH~BZ%I<KIO
zBheq$K&`Fs@MZY4Oq|tIB(rv{lPuQ`iK|3h;YnxglTO);HY+sJ>UnjZpfAtb!<_j(
zr6I-uS1&hvcBb*3+)-cd(3pwwA`szHn6TLF)7Gmrlb-EKET5kfcSV0SDk~E<7MX0F
z*yIqD+RCUWIWm|OHAJ$zL{n!@#My#$A~MwbsI+Df<pm8*UUpz)7J5OW2qw<l3!+ts
zjV~mCxEQouQzvv(6p;Jw+ih|x6;9<v@q{hE9Tory{R7_zSPw1C&mSsy+?{Bss9=a5
z0OAyr8tH%&py95E0NStnS<C*r0z)a24E$<@)a$;<!R9tJI0I{Y_jly>Zj-|qOVHH9
z0w?f}297KcH7N8*rX?Nw2Yl&=_b@km2%s=sead{nhNd{y_bSLhDk<6_(w@2K*?<Or
zeeclp8K}7FyL$*mGB=>-mLJ=Bc_bxL%29xqj=R>q5#`p_`$LWe2Gwd1BLGgpwi@CX
z>kf;Bv9oZz4B8!sR6HLa9dpclRu^nHi9D7X82gYherISf3DxKo>Q`@FIggU9EfeQQ
ztKA%)9Y`K41GBrft5q?M9LVP-<zLYYRSQQUF1EpHoX)pucOegy`5~=VP@A#Q+QnZ7
z{@t?(ofQoC2<1$M<TE)yuuR_&k#cVaU7Y<;BqjRVKRjOBu_g-hhbVcA$aBbAQUdAk
zXHf@?XT`0m9|?Sglk6fm!hgR8T;h~8p=8T}8(Z~QnoaUHLS(NOIAD4_ezKf6U9Kwz
zc5pytACTH10x~}UdExl@IQX*DWGp!lMX=d+vlG}kJzj(gwF6@+@IVCq{r4J~d`Xmj
z<kgjx_r_YT4L76Ty}|2kt_t_EW0J}LAnZQ=mvU^I4yTZFd6we1&$pwqK-SE)F)-?d
zf45Fj21zdTqfTa}i3TJ0;Y?dbFN1QYUiGTgBq<@*nyKoMm0*5}m}iKX#G5|ks>W7Q
z-pJ?@MSY!7kyG-<U@itp)inYJp`%K|Imrr!$jtLMS|`y-Xxz^=jPBQjK63@-q($tL
zVro@%^Us$kB>~t4sJu^~<#1IHNko4Lpt{|HYE}${VR$vkz|sZNvR4uIm6eGjTk(Pw
zajjJ@-=1{WnqRUbLZL-R8%x!NiD6GdVDHJNT<Q2P-P-&`V8~1Oh~4Lga1KlJyQ$*$
zt^%34FZzZp)DV~xF&j(<6-x+#sZbJY)`npDL1x7ob1^lZ8&lQS&D86%GM6SPryy<7
zE1gss&KVCs4mbCtz2HOZ1H|X*__l@5o|N))eaV!qZb?3knjIe`17Fm;h#KQ&j|;pW
z{#5?i&M`_G5F4{>{phzOrver$C!O4IIUow5)2;jr!C8mtq&B%&gU%AXLZ9pX5jo|j
zzh7FSUG|@*<7%bZg1edm^;6tOPu7`;%y#GubIf*$o<y^f1N*P4Pk`AU9<lF_0qL>K
z46`-NMmT^b@dE5b0Dl7qprGmL>19(l3H?2(+kBjG6@>*V!2pwz4qz#EXwmNSc>!*F
z_Pub_@2yloK6Ci`D3i|%@Ywh~j_D!evmb<!N5hgu;&UAN!~85c_x{h1q~^7@s;NCq
zzHiCt_phiFjj6M@YC>ThdvKh*y3++QZM>{HIoA=TnFC_N^wxT1^(VUtL=>kjgBTLG
zQ3p(Q+Y|PM$JD`5Dh(<S!}d-%jyI;RHSE|xu3!rh%C8*+w-CnU1X~E+niUy`h1hod
z)C!uH<3#n@6e1rpF*O!yM81T-RgK+ygAg9@&kSI2Rz00g|CG`V(Gqm;N|UM#Md)qe
zx)I0kH*wet+n^dB2vY@AaD^O0cny-_!ED%z@IcZx3wCGST}iY7QN9u6-#+@#8;@yz
zH}IW;!krNOv`g(%S7uw~0A0)h^F^Yu#e|z=3m!~Qm@|M-v78W{#;Pd}bqJj<obibh
zt(%KgJD-%>C}Nf!GDe4G!MzzGV9s+`4eQ_Cugg|u>EWEpGSK?dq+>M-3tu5tupu#l
zQa1C8at*@c{<w*D@gU&)ru?ZPlKc7<4$nOs8ONLjR48|c-Vd+pjb=f<W9m@uVl-YK
z&fwwHP(>5XKH9A+0|6=P)bKd?A<`)-ay4jdVQ}A6TwwLfE1O}11X#HH#ttoE;J%X~
ze2@sydTb}WqKnBt^fWj%KU22g9x1~IctyKx7&mPp;&Tg!NW)1p1Cn+aWlrM*9UM84
zEq;~-JwHgF7kI6vyuZ(@HBA|S;!L-_XqL$^Kgp6>qNKR4VnTdqqzA{*2{l2>WaNN9
zxOtQkL5DBz^{Yb`tbUTJU%jgS2BIS@i0?_MUH^otMP@RI*~yjbX0iL!T^#YR-wNUc
z0!66>DBEyzd?0%G{<Xz%shdZ3ta}H-ltq-fM`QaZ*;#DYYesQgZp@IQnLNY?e}#b|
zuvrtIq16!0o5>8uS+d{_J*UyoQ4EoZ5ZxNP8T#ixpgYs2l<L<thZc+**r3q8+d(^w
z61`y(b<<}W(jKUef{PCpe7Fw~zn;(aulaLw*l&VzjdPN&cLYwis(;g7_(b^>f@viY
z#rDG`HiT~EcZF#C(HBGt@?h2^41qg@xgj(~>}OH?$|$&PNK}3`@8`8Ve4G#AxbP^s
z6EC7AuHMYmnK!^iOK#)aG^^QY)(Iw!gY2c9&O0S>W43xsLRMX(rfE#<uAEn#36L!P
zx#sU{`>(I!g45yk>DmD-=EJ!rlL}@8VDpu~^8tZ-W#P$8)gtWi>ffn?y@;J9P@po>
z!}tu%zt+k!WA+X*qf?mY+FLogl1=1?*u&I(%_Tx?Q(hJ{u2Bh-#Lh#T*`eD>yIMkm
zvBj$F3NC~!RlxN;%<(;l;TKhoXEgQOA|@rl)lP0;HYoOYNiMMKo)H7VJ3`i9h%Q2D
zKHFg&^K>i2u5XD|;>re!p~KvRRRBpid()ORmN^iS+K<zEgyv3HhsCY=kch5AL8u)s
z2R!%BB_ZV>OU6g~m|`u#j%^t9eROjmwBpjFGD?s_ISBOgHBw8eRiN9mK+Txls$pE}
z&b6MTTaG<(tq@&6sE{6*n}D=~InYhGShYDqo&6qs=_)Gvw)ZO)0E;>SP9b2#@&pnr
z_vf2k`2w<O?B+m~J&-{X3q=M3NE-l9hxci>jp#orN<O~DR_@D@Y?5#b>5oWh1RpY9
z|J%4{AE;t@$9X5495F5JbIB8y5*<Qo0<|V9n7yhq7xdeg+DU#~@atCWDgS-(ITpR1
z@LhhmzHMffKIq^Z$eQcrJqjKa?Y`{X51|11v#YK$k>oWNX|fxk{*YlZg@3zx2^@Qz
z_tZSgYVl%hMavyI)1J{f3nzeF)OcX#ma3f|ocSchppU<xs~~uBy}Q<ZY<HoI22&bU
zSQOPbc&XDS;|)aQhD1$5pgc4H7wW|XUTzf{e93=sVrmQwR^TM+&FYuD2)GvZoQHlN
zsNnvj*P7}wWBfV#3phdSFw{qS6Yf|;=7=7EfOjzJ-gvs}L2l@KUJvl^0WH{qmq7oc
z7XWT4&hoGT6m1RDOy^;;&^0@;(3;}^Z^hjH(|CVIyy!o*Q>AnDVjSGaz7bXgCB)^g
zmEQIGZyaro+fq}HFQ2QvDaAA2f_F!#%z3xmb6C!W{UQ0OhG9Y0$NyhmfS+V3_q)MV
zFRN%fo#o6v@uUHjzvaHttJq37Va9eT-(ehdLCH}*_C)3(#tPCF2PgVjf}LWu#3*j*
zv&w~;3#aRL=c6kH9k~6a6jX8N{7r?*G9;*xVRxjIve4X$3{#gG*YG_N$IYm2X1C-8
z12RzL>R}1Ah}yfAV~AZu?iWJ%G}3yoHxY-iqj@jh{fUbKB?Q6tOK6o~y{xT(Q3@`W
zM}?xmr9r{C2H}!%|4lO5kq;pw32nwL<m??o&;?sU>ldBnzW9>(0fN_rl;ItXFlfER
z1zU#01tl-NNZT$9BssO{t1@xhugtG`303$JpPFjX2B!1=H0OosNG(M?9ofZ?d8f92
zeyMj`xMHMU3Z37w^T>0+k|mT_8|W=HP>Un%mpU8@{PVmVZ>83i7;3`#XC4?7@*Y^F
z2Z&@@+`l_>LFy{(Ll#_e{X{XTA1_<-DL?vjK)S?RdERq36@aX%UoDmr1I)n!0Iv(c
zH2?r(Vc1;YWbJ2p+Ps!c`gUGKMiOwH0kXpA+sjUZf-cY!IzB!Q%x15L3ckF6pA%Jd
z!_(H%GSK4sobuoHIz6pwkL$Bu`f#9x0_>s*@J?f#z&Kou@v!ft^$PHDO;a`R4QnhV
zHotw+w+MFC!0B!@Q2d=r9iZP-=Ky;I`q8jAV)4MJmb&MqHry?%=!G!Qs?W^M`UUBr
zx`z`c_RcCe)7{z>L=_BetT84KJO{0nu1F=8RaOeu49(F#_GHlXXUPLz%1WNi2~z$m
z3#2Ky*@a3hHzo!0@agQOHX73|di+zO^|YigkHstZ(2@R_)Uw2Z&w*rknYcq*cqDjh
z?UMzc_z5~GBPFuDr#~}V`c1T|NFBW&wpB`5K^3(cMGbm<%>c7@95P5ALWJjpO*g%p
zL)s|j!<IJP!&zWj^c~INw=DpG;P!I62t0{G4W6`_{=s_L^+3%QD{KOp*!Py4C8HQ3
zhhegJU+rOWb|;XZeV&vTxSazI+fj8NvZaN^sH>l+!ao_=5(_h!4d@D<{jZA#qsJnq
z=nqs^73@s#v{Gwg&K-~|p6w$UB%0r{{j{K`taiN*w~$-HGV6K}A!SoU?({(-->40b
zE3L8d2NB%zo0me|fi~gV4-5}MuZ=_yUJhiFbp;I$Xw_ePHA;~&UaOt5BlQ9|Rk(4x
zAW&w8?NufO8QSRx=xh&<^%aB~Df$QFpFbJ;Ck){8x+Oxs%2033EI(^a<ll`UiC)kl
z`gbB<odv$;c4Wm4p6e;QQGO1X!ZOyd^kqgF55+NKYVFXtDA3>2{sq0kBM!h0K4d!k
z8T=0KglfFyT@(+Uv&XgH#=5dYtUep8q?j_ES=_|43jSz_+tH9f!AaL+WZ+PoBS*9N
z`#`TyN)bTH_Qd!;Z?{9dcQ(1)oh$<>^aZZY%P2tZ4MP1tiotGr{if@tH&7i)3<Onu
zRsjjE3b4!o8{x;df78rBJP$}S%X}v<r~B8HWl`cEx@B%%$u`t*-zt%+&`0$v7cEC<
z2dcjDCRz;yv*X<(@n<dnj_>UiMa93)MW8<^keBTOUwccqoBn$XJyt9PVjCWuK8tu@
zv6+6*Fe`p@LAxF$nmkMKp6`ehnUXM&s@giQK?HA;LdYnk8+Hrr3PJ-vmKwyaUqy2$
zwBgoVx+Law-WNXvomOi|()Ua8T+n%|LrmUYH|G%)q%OgtX+P)k!HA!qJ{a}j=;C$V
z4F)@WpoStR_equmRj7>l`lB;G@g`!dSEn(PF?rC-(0e_Ro&+P&je?0GIs{ChS=be!
zr)d1vv3eG;d9JRS01Am{O+!yFfP82akmLq7zIjTnJy1A^z=i)ieI)>z-~)7EO-;?S
z=Iv;}&5YU$bOrMPD8zS|SAK^z5dQ!Gis$ph4rK4??h*%Wo|C$&m%>=(PQcFwV~n^a
z8tgH~|3qL(b}2@UTDiY<8mCXA+0ExUMpXkp&o2Z0_eNbIlFw?THqHqtk#>&^8cAku
zUs=5-%DSQfsqNl;X$Ruu3-eZh1YnCCjEzzh)&xg17M@LQ`uT@rC)S4i?{DdK?MXQF
z@LcMV>%5CzQNy^p5h&Z2fyY9hTsbCE7zo}BuQ5-(B=a1{!8U75oU%0Yp0@r_<PVrG
z7?p&30D{w~`m8X)mQeBblb!2y;7yqWT><+8(jQyMlK!5yaX#=xn3rnm3ktsD>%M)^
z*L-1o{1{Ll2piz^pDlmuYAA)swr^&K+mUVgL9zxpVcPsv3;h$&3=CuxN=r*y0OZEI
zSPlpsbrZan2UEEzKm&8je%9YX0$T>{=4t?J^QdRD+4%xsJ2e2^QHnZq?(VJbe%D`B
zb@7P+geGD_BmO0e6>Ba)vDzsXUK8IPS$z7dW%hvb!36?x&fKD5W<?`i7$$Y1nw_u}
z);2^LEFB%PA33czoiu)R&Ik25NYT$ezH6SH9cMav3(GC{(1BU!B)u*BCw2REi#HWd
zPf7G@$N=U8P;dZW`o_DqtfuBVuc{^h2&O<4x2S>Tl2>f(66NQqa;3+%<1JC&>hJ!O
z82*Q0Efj=Q#Ey<0)#b1KP}eHHpQ+uwi_6Jgk?%+Dqamh~g14XXkjpviQny0SwK<a5
z^Ij8w@g|+<?|)pH>16(<uyvwJ<>q?PLBc`9ST=_8#%fwuT3BV=T*amuELb~iu^2ga
zmzM~scJR@?W@q|_$I9yqD-z?xP1$78vpYEzXAg;mOuhpvMfO2dp-$e<@6P^xYlhR=
zl+vFT1uLTufyT9HqG9#|v{D9M59KsN(mru))-IXJ<e5mDrX5*AfgY*7emt8aGrbzb
z83w3|)4UzW#;J*zSFJEy@)biUcWD&Z^t%|F7}1`cznkZu1Es8Q2k9HWL`Z68b>Je5
zm<(X?2F@vEQRZB&mfH0+4v3!k*lIJnT$L2Y$82RtDn%EjFxdAmAs7BCIeU#;W@>}O
zqZ=*>fpPtyhw=R6;)+h<uQqE%?qKOG-S<IKx)KfSbtiwxCK*EU<B<~Uk;%-eXhQm(
zL7eV=<0rWW^c4(|pU@K8nb>k{545sW$n4TTFBV?to^n26M25ad_EGOsJbiMRI4PO$
zn5(PwH%ru27b!Xm@qwIv9@XeI>!NIBYyB|ElA~XKxYuHvBF<(yGxmvmbF9#m)TFvN
z6oUj|Z)Qy64&n#74C|NHAlmBcAHeMyXkKJBn<CxU9*QQ4;XNt=%JTjKT?s8fJwmI?
zX&Ss43A@=8AU3QO%B0lR){Z1l``%1T0!aIJw?1(7{`vFg1P~noto@i+Sb&H8;;gN%
z4$&toR(%VD!fYY-<Hd>sGyldaGG7y!SU<%0O7Mr8{6@u!uf-GDoFzj1!rpR@!!nBz
zaGEW{)KqqJv2z~&$Qc=W0z#5}Iv-a*h*Wg4|Cz4*L6j;hCS?w?(81%q`4SV-^66Sf
zj5F3}t2$xq_bl?rm&zQb+Bs{29LIQKfm^x>1H=Ar$)J;iGs2C}g^B`2HIK<BcF-0a
z^Mb!?*&5cE?zzUt#0~aE9U~RuzU|K#{)o7SYwE~9?TCKLgQ!Pl*WsaLq!05>_c)Qs
z5o8zR%cS58&#cT%9Csk?u1lANz%C(Zzhq$K=d7iLp_3b5m$|p-7~=gX>~w2h)?i7>
zqI(YJ&~p?u_Dv}%M~NqKLzQbZ3*}~vDR&+I<d-`pR8u!KtR&EK2An$kdwPP#ujjHa
z*3^;>aVYy4<CoZ3Jxf0PB*}Z-e$OE}jwRAt$2N7crnn?|alLS=uNJdk_rZ8S-ju2}
z+Hlqlm`l6x(71hq&ral_MWvz679}L$Sm70h=2Es*Cd!qwO;|_1RoVJ6Dj4)h?(ouF
z>!2LLD>(rB$0XQvp|L4((U_tN^h_`nhfS-HwUjz2RC9SJK=zBYJM5CwNBmY;MKrZO
z>@6c|9$vhFY%k`dlGC4ibr^<<W}oZ4BC;qP2yeec?($BLeV1ohM)B~yDBaHB+bP^_
zHG~S4$3T7My)k&Wn1&>=^UTdJqW<AUzP@lGG0m$l>pW5k9^P7W9I>H5i+G}H)Rl6U
z@Y^%fWxF^8l~2SQpdNwrQgXIFLq0&lrE&bk+0bq}?VH<d3!RoD{|d&5nm!x6(UP7^
zFQIzHX{KII)FeTIg18+S{B>hU&~nyw7T0Z^XO3UA4s|(>bgpl?D6EcLs8mXbWi2y=
zM&`ll^jBK00Gi>c{E8w&OhqE(!~~IW)P{exdxe!_D-kD2dc2~7k-KOiJACW$0UkRG
z)7-}xXx^wpWPO$X;4)@wL-C{b91a@?oS6=}gtFb(uZq3M>x=Wz)`^)G{`jA*>7>`M
zuQ*%H&2(kcpEp0wt2Q@%$u&E5M&zg41|5jk!P_G}#DLu?!`~Oys=7JZtX5yoEEC{Z
z)A|HYigTxk<WvP2q5b_mM+_DPCAK(F+jpQtQ`7Am^6%%7HW#d$f|1o*p@_E~HQJm}
zy8zYrCGU^_o7{_mZ#~5gjzESaZ!G+nJe$18q`(}!LGf5#YS2Y$)5x>c6{iPsktwss
zx4g`Jn9nX&&Ez4_-kcW)<|=CgGmsV^TGcxOiE+&FW~p`Dg?5!eRy|1}1JDjyds|&b
z*ZzD|NHgZLDPVFbQ0c_ur;?@BPH81}WRhbL(Uim0SW-;UIa*C~MZ&HO{UM#vPfC_Z
zIMyKNrerA5y@FO2o%zVdAJ4v=cw|vrxgIcDG0=+Q639|}y%=6#P`(I^Q&cDQb!jU2
zW8L-ncQC`@a0*ar_@OZaGBAtLqcwFtTZUE+NCL|z{5^?5;&h#+?muzzM2hglZX{c(
z8Ez(8kcoKPfx1ON@7@HU*!Dw2_t|fc*=pMM;=m88(RNc87=LrcU;<Tr0BZQ=^BxyH
zuy0a$ADg&r)_$s%Y1W&4bUK&<5;9ny?md~%!39MEzD2c;E^5nZ`W2TqW@GhY41j0n
zMy*Tan3<N<8*Lw)fb31*OhSua)xWU8boGLmg|4afIw@|4Rz?nOt<R624a{z<IW(%o
zMy}8_#MUmR3dx<U?SHzNHoWEK6T+|Bfe$-Ez!!5A@GO;<!yeS7V3Ikod>E03UXT?c
zJ0AVL&)B<(F@!k!lasQe_(QABXPa)a`2}Sq4V)b76h|=IRL=d~Ig(aW3ag0Z2(}*(
zE;mJ|{G$6Y>#L1qG7Cdg8%?RLr;G#Gv_$!^H6}hM)X}HJ@`&I?{)8TBNy2AXwEB$P
zd!0=8H1J;#T}OFy3~OH#>BNOZxd=TMrc=prI{mX=I;O&Odk5*oxg$$&dU~Ejd0NYK
zAV|>Cw#3x5?#Sjzx1*X9=(rB=d-n+AV1MmOmBLuv;$;r{$NnwwL0G5W{k7<BP+FtI
z1S4?0Yr68ab5&Dccmn)n^^4@%9OxOaC+a9GI{=FGd%?s+%QMu&{ig5R0FEC2>%%s%
z0Rf6rW`P9g;cQ^<hcq^H?5Fof!os?Pr9SZk;Y=|W;dm}G518I3FY;0|Ifc`N#!tkq
zCt>>Oe-6dHxEEh6qF+_hgcs!}1gD0@4Bku*g`Qgsmd9F!Jq(Ma_PVh)wSK_dNKtMd
z#6YL%BA%Bc^Iq}VTQOouGFeNR2~SW!DbphF<F5Brf;+<zqmADal?iOH$+}F3JEl6t
za}A6Mr^tsZr+8D(OAqVL><;UhQycZlMx-goxd1>zQ5H{}=vjsSBe`KMCtZP|di0t!
zG{&@12CSE*ZB*)hZFns7lWJrki$7{{A#xWY@*`hI+v`>$4!B?P#SYHMQrPO*1pXFt
zbs*l7V1-J2lNop!sO0ofY;=$urAQRO6g^3sHvirANtR{qD?Bw!Tm6)1M}FyArHGU)
z4bkC|!J*K>!gu+J3yy<qVvbca=B7CFX%fxvE_o>v?#pVPH4Y*q3(2_VWY^~c{l|P(
zFwWD;AIiqggAWF+u)X)SofG+lZRA$A81hlDC3Zk7m1h}_s)xR%y75d>bn}+GRbFER
zDl^GR7~h8uOqEClb>$IB_5#0TGyV*ZRv7Ss&rP@tV=wk(l&b$@CNzvvBTt_&O=fky
zT)6a*4gxaKxI#Y9L2ww-GBUSS@7HI*rwVMN0dSpw(}Cjt8ju-b0$QzrxV0}3NFA_N
z0Aj)KEF1ty40M%Dq_XV;%M0$q0`}v6fcE}+*VM(K^WsW?j^Gsl380L^b()*pn{B;}
zdN2l3T{*cfHyXQPB;;3MU9lE6%@_TWWM$&#Y$PV*R;W&XsMPR7ZZXaj{WPE7EftMu
zn9)fkhHr@Z5apLti$q5yN9gxWGaiQa#=uS6FSCy@N9pXw>9h4uFyx||8}L>Vv&b?k
zsMy$wKJ{S@7~zF@^5_+ddsI!aLnTq~zYQV5dt5~~;7=XVa8@-zIBD2|{BhJe9AM**
z#(YFe-^8RdkrWZAdB3h~RzE7@cvM_EAx)VrkHQL&?6?H!?aG%RMc##wi@dn98{WG}
z@53n$S*<(QDuMO0nDd0H(-0K8I$Kz!cxIj=<hRND6e+>Lv5OqU7@~(;O0unz_l29w
zs$zk?d{g>><%z$v3Uc0_k%_k;D4m3YYVbL(On4D~IRYQ$F>K>px)FG|4TC^93EKbw
zpm}+DKn&P*KigN3sTZ`_>U<2G!z=*)7=g|B^sdx;JzfEqKSW}FH$Y#6A@RC!-_KP0
z`t_@l(j{=L0pFHBfDM%-wErY0Hx3{S@77&6zbFCsM@b^*IpBMr;EkA~In(&}t#*R@
zAZoxBvG8S&`Ab->eY#~%VOl6p@~CQ?z}R_5Gz~KKb-r#GyDf%rK2pPWA?AL`ZmQ27
zhZVCW-03Eb0Svw(YZvk8#-E@rKPytO79GjS)-7Wm^ttWK)*J|4zf@?YAy&7;MJ2Kx
z2~v?j$lK^fk-k7{sU>9C#oTJ7jsYt9{O@4h-*StITm08?J1tH?r^cS{-?r*<jl54G
zW0{ytim=c7c&@=lJE%QZIV~+4L39E$VBg@=9hpL7oe6H7*=aIc|NPZc%|9v6Ku-)G
zFM7<ugm%)J`ncniUzch^VMQm`x_GEIG?NDMFQ=)gPDMCrCVMJvSO%X~=F>4zfxQ4+
z$1|I6ulK-(8(7<YbVdVty$c$)n;XCj4M1ye0-N7;0DJ)u<=?s?P<~|#ZSpjI8&3l)
z%AI+6f2w?6j@McoNqioDm-ikY9Zdj6iw>ZB3PAe@SKOHf^alfPGy&+x>Yn{;c)rn&
zt&bNqP@J5e+T}4|!%))XQk|{6Z_*>JTgitAUKtdZMfFfT2MqiO0y1uFv$DNA*O%W>
zgbED9`kA&-^)GpD@lH_=C{ez77LJmG+Rv24Mp0}Nz*1uF@Oth14k+=%x+2<Qw^x?F
zmk0*Vz{JT~gA5iSnsc#wL-@y@RH(uQFRoPQcsjHZcYn`KA7UsgQPYR<_Cc%1z3_Ul
zRESiVePW+wAjJeVIM^Gz<$sWyHB{nuqH!wVmrBBe(36Pzg@?iM#KC)&%um<SP`gR5
zP;wD^&K5?~7*tJmke13?$lyW#Rj!L{`8)|Wg%>-fUt{f!F39wEf9|tnNj)l)cZa>R
z$9A5@rz+pL`LFVn4!Pznd9t#m7Bh<=ib7&_{u$*sV@3V1;yR1w`eIdfsS7KtxAg1E
zgvZtlv3P$B-2z;ZG_~lqAKh<#p7dHgx6rCsu(GLPts*pRjrKm9(7S*wuX;d#E5X&S
zw+|->au@P8J^b9rC>cA}lEzb~zcBq`Fqadhaqc`Z?=-g2yi*iPDMjf%Ckef*`d3xo
zeA%j1u(TEbR{sg*#s#8Arjw*vGAd?+)dea%c9OJ@+y)s6NFhw<xbG$bOg08uT8&y`
zDeQS|dwY98@yT=)7Z(Q(+eFLL)6+tQR<X|j$wUh_qoy&ImY$xF%~~^1B?xrfRctxG
z%KkgDnKe?l_~*#K*0@>(g@WzGUcP!B&t&ti>SCU85x`nl^wp?(2p##UF8XC>K|7Ze
z$;w=;)zR+K`qm;pIrkRE@*1gd>B#v=Ak-(+D+PA#9gZV$s-WGDEJ8~hCD_)%hnfz8
zPVi^+Oi*im8pb_#aSO3;eW7V)<AaED<X=jxebq?Uf(572+4<wJ^d&zo@sJvd-G5wW
z!Jg64&|2C#lN89P;ru9N_9-Ul&NT;3z^P{T1w0*>5~n&a9Hg^pltg<MrZVZ<L0Ev%
zuveMiH8Y-l)i@;;5Md|%M|$uxDDk&EuGvv&6@;lagjfzW!FaS39t_A`qOXPLl&D)b
zeQq3bcgi+7h$*8eBS+$|FsI5Bc>Gj-5l_yc`T@0k#sdKSU<O)efT;g0g$v+(k^&H6
zz$E<)1lNhZZ>E8=HV>fm!KV3l2q3$42fx+~5fcEVg6~CI78dW%zwEc?ec(v90kMpT
z@899I_9x-P!Lmt3>IM_U6rOiZzt3&T;S6O#q**K96N3G1B-+NGkhj{$ZbYbuvoepQ
z(I4s_t5ZW3B}eLPNP=w@yixoN(F=}`C$I3CCw2pdYAiRDY}tj;e`&~-FBhkSrjHvu
zt?T>BU_&?gU+~*pTkw(_@$jJ%nnDPUU2f$XMMvgY&~CV%MW+)|L$OmiK^OLj*%Ny@
zP0xma!>}}|h*6gj-a3*ZBT8#rt?{ubQ95)zSz@**N=MLmLN-JKzw>r+&8Yeb09Y=C
zU3yLn=!`27v0mB<yK;UA+hUX49zH?LPmBwq>oh+|-jj{1p~Ll-CY9`xc2T|;o;qFM
zOKo!J?G24N(lZ;d@_|XW3P^*$A^%+lZN>|}!K0?B3Ebza-izM=r=-niKi3IB@;wL2
z$ll=!i<LV2liAsZxxPT64tVnEsi~?q*sMPRfa4Y5MYYuv2z(W3@f(1<t$^s{o|^*n
z&%IzC!M1Ys&fw^rn(0UOQ{dIS`K92(Q$^JLRU=`1-+AuTXxK%pGhf~h?9VcTNE=$Z
z57^3FYJL*Shms|`+M@dw(MXi@Xa(s0QXaIM>6!AW(4Bjz5ucB%7$0lN*z-ArDTULu
z{I5_Bugx9~zo&hz&p{_hvQ9U%vIW5tk%;6o^=->o-@zQ|ly`uc4JmVSr;qkDUP;O1
zQyqU7U^;deSGDETNU`QD$cb)d=i{|T2tg^6fVavq8IU&v7MZCCdJw_0ibRv06D1gj
z$7aT{j11EbAOpwDpupPE5o=DUbPh523%|9f8bT`{_`e@^wQ|FkPk(sn;Ng_F#U-ri
zZhw(1r*1i+eCn8rnbO;hHK-vy8m|;97faaaJ~WN?!SkoY2svt^SQ7Yb_>YkDuy{59
znY<XvT&q4BtKHF!KlY3%8~4FZ^RICK*FhfyBn_P0^C&9V>P?wGoZZqz8kq3>49EFt
zC1QiZUF%){UmsjRJ45NM7fCdye%@9|li#~_Z1ZSaw$~4w57lPL`2@&vmGC}RZbZZf
z+4I7_p+LiZuk`=ItLaT%6{!lf!fzctYA!4GNecd=HBF?S12eW)muKv{-OadhO`cq6
z%p{&u^&<~9Y;INfp6YV`pHJL0=-lG0bf@^j*V(gnioDdfXxi{}>SlcfH|V!;N%NlK
z+X0dB@~rYA-MDfz6lFx<<1T|fSP=O0p}Z8HOg0~Tyvp)_=YPClHCq_NvTKUQNPa#L
z!g?X&b=jXc_lW37{mToDZ!i*Ve!K&Dj3MyBRf!B)yeZsTj@b)uSci>?kwL0AOlbou
z)9e_u>+*<w)5pWa+(I<9ypn;s_)*Gg$RF*0vGtZgS$1pxFx{QfAdPf)N=r#M(kb2D
z(k<QHf^<tr3DOOMbR*roi@o>re)@lL?!kLx=DN;vt>gHms-OaoI-RH;XN1+rBR}rP
z+%6f{epTtDbsy#!>CTvu20X)A(qGa&wFx(}E$xamG;E_utr*2v>cPgF4EP-W2YW|`
zCfMISEA*8{8J^BG&2T;5POIKvqg#fejY;|!$m*u8bG-jA%%pPn>prMu0)Hf{#!Qi6
zZimtXf8|NIN!0Eof@@?0Gc)PY=%Q1wIg7gDLUn+MrTAs2fy4}ZGKReoLeb~D&6~g&
zg`E%iW_~AizjIJgTHOnFL%)fkl@#lL(S;Op+AvM}@h4b14H2hbU#(^$XU#-&r8>9R
zqJ>BM>+QdU5eYfRA;=T&=tW%^m{8tBcmZYS^aHKI5T*2Vp9+TXMDNr{%z5S~HF(aX
zF#w%>Y7+JM8WQB2=BR#AIZDtj-!0K|1O5H{(;f$|=sxMF!{3-RO8iU>L;9B3FYo(>
z6NVKva7PIw;)j<~PT*zZTOIV=NW({XKgmj<m2vk?S#C`+KRZsUV2X4^V{;oYQfUq6
zm$|DU94jK&rnf7%B@Id$mn8e;)8tiX*&pN7x2>g@@8iDBGLh2BBr@z3AXh^)7akL5
z330QITP;poFwS;lb@qAw!tkf=TJq??sSaq_rAKP7i%PrDoNQuvA1#N38othik|GU8
z-{t*9#*0mo`?<$*4XOVN;jWCDOwGBNIr6Hd4?R7X6_-x?gKbhy-%X+=dzUt{0&_qK
zIZ$_h`Olzcj!Fof8%*HCvm0*n8TUJ6t!tL;k&Mw`k(a=<ca@Uxn5CUWyZe&%T)E*}
zA*aRiiX(pITAhHO>L05^vOkQXiDgk2p*75mi&K4SA1ZJzLPfQ($?$wLL{XQ1Y{QT*
zwAQ!#F>kpw`|LOKBI0uDG2Xj;e8SRIbNl=!QJAJQ?21z@9lLCTsNS!3mfX^r;)w^n
zTNTY5XI4Mrr0N$`W!ymg3BvFoO&ZECI$6xj<6myea~F{nYqlxO3Z>HRLI2ji{GS$p
zc|w(*cmtAhX*7dDwRiOv`e~y)6@xTi!;oLa>Z?aKmOZ2VjQF(M!LlAS8w-CJ9jo3b
zEIjfAF`E+t)L^Lj9Ly1?6PB80jeCB{m%u+DaVIh|611MZW}A#Mw^sqiJJfdo_=3BQ
zegut-i~zBH<$CC;A{8D05U&NdlH#iQ^0ck6vmUoJi(XR5MB-oMf9Q@Lvr7lWek?4x
zMM0yuYMmwhTmw0;Z26DlDOWbFPAX^rOXErog<vH|ouJ?kkGIZ-o@A0<);EJR85r-F
zeoh<>N+yWhMX)6Gb@nq(OX9`D({Bl#W8oC02A5asXst)R6^oK5ndBVu2q}M)=f~i_
zFJj8h<V&7J89JWMV0To}v{62wa{PAVr(p>VQDciaaqKLW`_Wz&g&3+QONCog<JX|6
z2MgY2X<GdamA6zqGFkET6E4!jYhkkKB?cD<SQKS>cR3ZxYVEEKcQO|yhjb?C%`0*$
zBb*B#$!tm9WzzqQhxm$}k`*Rst$38g9Vo--2_Hbx7=1^nx*BfiI|&h!_y9fq+qiNN
zExuJ#H*3w~Dmv9igi~3OdoNxLg=luwupeLHzB|w1_vX-=aVcYpsE*iWlMe~Gqzl!+
zd;8HnRw|g{SiW1zK5LTnX^OSc<80ee<~41hO3~e{<@nBG86ttN+*F^^|0d8>Vw2;u
z!6-(zi1@uHq2U@z6IUBN?zXIggHUfA>QwZW;DpWby<P;$6`*wW1s%DsTOv^Ox4Z0P
zy=bv23LG~81_J#JYhHkvAB_y-86p;^4JSO_{h7-)zn<WVuaI8F?+r{MonnPCGfrXE
zKRbWZVyswO?Ti|psLBIznm%X67Zqe5%yZ#tRN)yqBdCbyX$#x_&W-GF=DqN5($#S|
z{CZqw@BG4xM`GvvqKxNtzzeZZB9Ct&KXbt_r)S=sq2pUFCJUg~Qq~Efz@Qq!>UzZA
z7-H4V0eXgRIU)i#xT4wGP-8=}>CDAvRlZVN>@%`E#F;-`W*6|y<m&<@5>pF_YnZ0K
z$ugJw$n<&9Uj*gcC6ln`-pg<G$b`qH7~BLtK+A<4c9{@gF^}8)qN$jvP3r!r$(|uK
zPm@=CQBk+%d<lTWWy9YF-{`_=dQo2THWm3V@3|vHMPMV{ES{OSnjB>CymnV!TZe!<
zLJxpyueENV&cPjQl)z&Jd=!O1_cPAt%Qm3q4@lt^|Cc9V4tg~TEAXsdf)UsKc&V|f
zstPoAc&GqD@@s3h&=OQG!hb&U=oZs|0;j%N_ueXFS-+dunY)i1VevbVVI2@Wk=}`^
z+J0~S806?<(?|WOXMBd5!`5n|XlzL3Jvzp@QH5%r%8QhM5Uv7))WsnTjcCE*DV0m2
zXGU)flu(ItTq|56=`^R4Wz_L0d9)1MiTzToZsg5O=8W)0zHvh_r*9{onq|^9P?z@6
zlktjXFCVXjI4QGc?@7+Yd$~_HT1f{jSQXPx<R%J}vzE7aicD-paXPvfHGN;0NECGq
z9vl1o8?Su5u)LSedw;2jpL~_?qvcHbsHK-o1wFD7O=P3&_pxOGhU&EE6uC*Kn?hub
zdC1JtBkGK3eg6l`b4dYT`Z0e+%(SymVR6hdGv{Ab3Ookh@A5KB6;<~8%O;c4)q<-q
zGns{14;f(jOUq$z=~YXrfN2<H{{f&G{Q2Ga1O)8!ZpBLgiMHNuR+kn)r2(|!4dnH|
zIDS7)=RUjq8^9O&*N+XFqwfb;{3gNvFPlWOA(;yeDeRc96i+UOQihlNc0z-!26kvr
zn9P8@tDW|DM8{SC{7mdbm=d87%!E=q&s6MnZ{o`rX3A2|Oi{&MYPa!}tKUs8GUX=P
zH+x6ar0KjgzRF?G;tVWnA!DBiRNgA%29L)oia`fJ-Z2U(*|e^XuQ4L`|8Q9%K2-FC
z!<7#pZl^$(F+*B=>%%y_&w3G(`V5^-N&Tr~J72z&LIy>{>(-jz)6w!Ma%j3;qz(a6
ztuH82HXn0$$X$bMoK$vRIY%r30fGTe)<sF_(Q9X-mC8c+9wy?=J?f;A1DuBrxoIZX
zWKfFB30=69Xb+FUxyWJj(1<A3n(pdpmM)3PiFz&hejY~_{=y~%u>NLx!)G4RS?V^7
zNW=~l3>NMcMY`y^soxsbc`9P-B9%->xNAjqnrG#T7k&t|u!U{=msh39yXz+O=837v
z-Tnu+0IdXL-1P^`jcs=%d!J0|;BQyjx9S?1)-adKavV;-nT!HxvktgUAWGMhmVXZ$
zkdN~n5ZA!23yZ6AM-|83T=9UX<$!j?S&W{lQ&z75w)Q&ii&LIE-KRU6V|%iB3|GMX
zDWbq%f7M6V5iBqMbtu>urF<1}Y_b>Rtb~X0jqL>#O9E=%8{pi)YJ3ioyGC0Uz|+7n
z&fCX#^ZJ)SM*yA!r*TvQ_ANlpE(*D>+5HbOdoDap)k|&Ke|c}Z*`$>zfyC3^BU)PT
zuz=-Sh1Y{O>B?6JD~^-Tjnx0$jC5k!U%54VM+Kg|^Rn_Svx88|`f(8lYh^cv7gMQ1
z292CfGkNnvp>B#lG1eCx1q$^72P@eC*U%+EgjFF-APiY=La0!pVF*1~WagA*MHnQW
zQ!tNMLtnat7C!1wM6NT@Nt4obYGDb<3$bobq^3<i?-3uA#Zk7*gpoVoRP}!Bkr<rX
z5BG~#I}n!375aPZp$j9%<BST?!KBh58Hap@lrY`$D@nYxc49%1oO|G=UuId-t`~!Q
z<iqvVneUWz{g#E*B^pji<;Bd<OIb*<c{0vZ25LygW$__biwJr1s9!)h2YEXQvSDON
zAe%t)QXynlT$w0`A*BK~#KiMpgQGD|nNODBUudNQnrV<kB4<3GM0+=ahio<hGg6+F
z=;s>Y!NPtwd}+0JEXlPW0a+c1UAU7%PO$c{|85HE^g@|+*Wn<FdD`<$9^~gWM9K5n
zy8eP8e_3A`7edW)8!fe@XZ6^^o6Aobu(c@|wSBa;>^fmH^-xjbuA$7l)5|heD|@w<
zjxRR(OlR6!txnq@)>5NdhYJ{Hz(~^sz&#*s@&ietS<aUQ&NVG9Ex`LR-U@Ko<Wk>*
z)1{@}2`O%}|Lw7de{M0DFGbN72kaK&lndw&Y%1&vGfulCz6iX<{jTB>H~Cyp1C4qE
zMQ7rPu40FApq5!0_@VjN(Y-SYEtDXdGe@=v&w9H&s@(K~<PdkVhsLrUJ8EV^QV#Y9
zN&O)<91N<T!d;>dCd)gj2RH8s94CgitI*c!8-ArmC%yFxh3#WgkNTxMuD_^|D(+IH
zX4;cz`y2j|;W&N>U5_T#h960SbfOd8jW#_^$XfogGE4rOtW)@KnX?q)Z|iT&fh4RZ
zPH6HknV%M-kxC8n^5FY?N-o4QE*mumh6!vae0L@KhO<_@o!V4RhZ<RbnFa1DV8|oF
zDhB@^VCOrYo)*P=Z#DWoIV5oL*Vf+RevnW@-GG_gcdKp1E7g4g>M>HCn4VkqI_R5j
z;=WxnzI+c*q)z$MzwE^!vt!x-pL5Usr~H2H)N)Wdx(&>Zw5*jBBCP8KWHm}tKiBlI
zPkd7U+zf<Z*+}sr3uRkr1gX5(b-qca2;<#Tp}@Q%TJe3~SEqW`8I#W<F0MtoI7lRf
z?widwWoS0+_1-1$bkii{*7BUSMMzj=^=tF8r8!6HdcsT6R+DCC&?fvJj_VYMI-Lw=
z>6S$9${Ujg?(=arwK%iskRS;Y16pIC$c(LMCiyEUoBH^v8f5?Q@l@Fr{k0HQ2$hWN
zKLPQG?LguAS}_U~hmBxfs;N17emGTX9kXAomo$77r-%qtiqF&DJpS`oVV<-tcGC*U
zJ}bY_;TtOVnQVLtK15pN;NkeY?cm|ueiYBI4~MPWVus;W@+#Kd_D|h2WUFEEMk)be
ziBRk(_d!$dzB6p5eecAf$mw!+JBTav=hm3Vh?h#ER7y*`H(9>mA;L|n2t<81<zK7A
zsqhC8-ur<YG3{B|Uz@;dYwBMJXACRstXsa)S=AAByC_PhEj?+S%@+&(m9kF=RELnZ
zUTI8Nds3_Xo|w*}+=1MS%<!9*r4FMMc|yc44p#%jy~^}Qgd@$CLdiH&4l4D5M)YD>
zpD%)!{~ca;KkCi@nA<Y;&Sw*7Sb{xeBeEpdNhKnO{iHvkkHF!7xJ7!ed2iK|k@zlE
zygLD_6!O|_i*Q{70fq}=AqqB+NOQf382SE72~Fd!>CsLtu0$QzjF7pA_(Ocy=j~t`
zIm&qey#oXlIChJthGysHo^J<5YAPz0z#Gf&e$oNNw;;5#JwJ+s-{lr4Y_pszHL5dM
zKLO`&$9mQSXs><*|GDCISUuhfQY?XvCWeT|ZGWm59PF=oj-N8WEyw?NvXa4S-$ysh
zxHsXMp2Uv~6()n~pb0HmNcqEkFNrQluprpX?H<diXG!@TMkvSz-$hm~1pE7CLC9vo
zI2|*E65P^HMU!s3AV)%K8Tu0_*={-xvY5a@$?}Sc4vmK4`Y<<LPFYByCOKXBw%Ei@
zXt#4aZGthgH}7JtYi@~)XyhD>F60&n()NEOCvHrNO`3?MQluO}+t3->p&JT&%O9QX
z7h!R06Y95eADUL>72roPi7OYd5IN1>mf5PHaVrV@Yb5!={H}1A&~^s_Njr}wt?0<C
zL3Bop;Wp1YVH;xR6k4H&(j_i&A}Px&Z8{k>85jLqGgn51=&qh+nS=g|mK49Y?9v5f
z7Zx{DhaPeu-vTmo%phKwjjjXW;(7l^$RC9A%-cP%Ub#C{+P_rg*<EcAqFV2YT!&46
zuL&XgMUNk#fMF#45dM9_X2<zpPe!bK-|<5rrwzx~c3y!TbD5IbqzPI-IV1(LNj6xV
zjjBx?HI#2-lx@Y_w5=vN@t30X`Hj#U!$}>b&AdT2B4^Qg+DR(8q@HZaoMB{nJ`Wo!
zI~!8fRTXVUMC9s?GL}(hEhoVr;SMlMeb(I=0Agp03tg?n+kl}cc_|t(Q1>-#^wCA}
z0LrA%)l0J!i9~m;<fEn02+H8XtyPGKSt5K<Ryl501AAf;ROm84qi#EeI*L|ngRxti
zg6{B}69I_``E9pss8w3Xa;2i8fVZSEj|T)~i-`>)C43%l7a|prl9Le5aw-1z@d&*`
z_dy$?<@vBqSvS=p{4YFrf4_N7m|5BVy{^mz_oqP=@~N9Q0fPcp)?d-Cm(nDJlB^ob
zqf6tW&yOUZ%!$Y|<bv-Tc;=R~BIoYE;2Gp$KUX?57F+OU?4j)%@rk;@h^<4Y$S!;?
zcj=#9Yn?()Js`1NpWTDs_ftB=Kv>kj-n102>Ztfs$w$|#s%{lBxX;O5KubImI<gjc
z{KWmJx!DwUAgZnzI3$Kkq?HFV`z9#NsHc)D7GIY$C}6Kv&69%i`08x3<B!^^i9d{0
zo>*S9T9v&Hn&Z2`Z<_)~0#*z7qBpXL0-V8f(gN19ow9jfnDa@h_69W*!=M%_e_(0S
zT^`P#0_7Sb1B27}s?WvPE2)<4yuH0GayP65aw}IVHEUldZa|{BjK_dxTTsdYVl2T8
z+zEXBURMX(SpqMQ7x;`?%G%m@bGr6s#b4U@3Zh<L{=fXbkHA~r4!WMfO63UL7J#8{
z1{Ub?R*<J)2oeH720(3PrOkZJDjP@vUo=Z~-Jg=2w+5;cY0~tQUx2^nwp;1|{{(X+
zG93eh^>WiO7wFsrFm~Y$(5W!5J`;t$4|qMmCE6z7+i<w)&-omeLY3RK(dJHf0(=<Y
zkOdXWm?1F}5*Mt7M%MK{U%be!uZTKx;rECBu3PD?o9MK&u=sLiiumijmP5#c?}8%n
z9b=y$$9tH!xp~@=#Bef+f{@B0i%BbU+kACKY`Ipfd{?c-Yixm--;#@fwQ{M811s=^
z+wBV~mu*3N8Q-c~V(HqB+j`isff#1y4JN{`?8TyQtEpu+!JnfZAygO?mJI{O;RCF-
zY?WZFv88m&1OVf_-$Jxs8gLp*VlTcr;RK=JD<^9=@o~k9XqdW8H}G2TJG|Oj1gXI8
za!3^g+3R=qYE($<?EV*H54=A6pdAH7@%S4W82AAJEB`LTyLafqw??}wudz&^!%*b$
ztZ%&ab#wxuA<%FrLnHsXKx?i|O)HR-<os}by1l<TghwN80ZGlILSA~_$Blq~5wUOG
z#@k)ln=H(BZeDd;P6g??;EMxc3^$dAPX{W}B$76;AF_Ds!0^Sh;t-5Id<;?rF8j!y
z9e|Q{U|^tJ2Mps>Ajy~N*5_~OO-F;D4gXlUn|dR-=Fk%o^ZuDM)tcvdGx*ATL|dXE
zJrMumA`CrmD~0L3H5kEBApGc37g`e(W!h${<B{Vww3AmpOhIWfE!(>>F&kSgA)G*d
zCmP$LsBi9G^*+x{;^fVlc3$kijc<id<%7H!bRVZ;#PP}oOqRc=o+B*y>|D+^VUP8q
z6gWkVygQp^H;|%DFTBbx3RBAp=A?U9*jMdb)&#OhC<9GC{cb1;Aax`>B3BJJo*UlE
zBXmM&ND>THEZ8T^tLrB$rJi1lBH}zQFnRYyih1EMh?~!i;egN@NeOX@Z(~AY0tfGw
z5wfek{v0%8F9E`T0^E(&y3L>gw6UUs!K}c2e0F{wylUP4V1-qM@<9T$%~z;L!2QSa
z?W8@NcKfgQ1ZoF$`aJ#{Bzuip0=fE<yDNva-F`q>`l>DkT=m^gkiP5pbPwcQLtaab
zuUrmj5^VtelFv^M0u()`V2N&NxdmjJ0w1QS_BvRP{lNEqy+6IXWK)Z}Ur80C_bLD(
zu-cL`*Oj!b>rfUKXk39hPd+;3B-t`8(BC32UdYs6DLzj%Cx`F$x=>^&vs{$oe+Q)&
zGQl3fD7`ZQ7606+_U4xza>uwGcIKVbJIt+(g`NALh@Xn^GR|?+A3_}7rKqEt&RKno
zflvsl9?h5aI<|10_`DDgd#ygwsHKVjFdOLP-9pK>6Wq`et1cu}TEkR19X2sz6EA9x
zbPm6eZic~*L3bd}^`qBuU!+$(Ug!Hak0SrCiGKSYF(}$MKaL)@_lXZLvuD|AAW0d5
zjTl`tWUMHXYq<kV0~JjP3rSHeh1q|~D(7H&h+F(**6u*rlhT2AQ9L!;M|5A(Fw`dh
zGL5(9B*JWs{ker;F}9&JMu$U4D5f}5D!0tJj9~F54MXpE-xS;KV>($qkA7=YMnITv
zCmZ#XST5nVK(cCCgM1s)rAg%H(sbj&s1Y?04|g?*^VXRq{#F^QJVWx#@~odBEQN^1
z>u~}nyt^wvgj3V~e6N_zUv1dk1#Il)GbbbhZY!YQ3Sdi}$q=t!yU4{a4$y+M{&yfM
z28snVCa{_O1Q`QNhhB4=Pxn{4?QV9So}R$Byz@Kv1=NXq1GW^jVp#)B@OzQ_ZkEcs
z-Id-@WOSgtPrhXS_xkbz(+KzHq}R0>SaO^|M`@1pIA0)1%Ij2h#D>toG=00^Ltebs
z6_c896xDQDU?0V#Ou4cSKnOMNiP@&4A97npbw&N(hg_?i!`icEc<A)ZRpz?o$Wd#V
z7#D@nW+M7d+z>N!6oM;s$~qKA|J~zjw9GrChyCp;*b<ivS`g+Xos`tImy}0~^F*`7
zA-Vs!`@4P?caeITE7=`xhqN^3pqL%q=MuiLWsdhP++H8s6~)wkxg~10Gmy7;b1R=W
zU6OIU>o|c9AgO&J{+f{48EXwgE;k!3ASMFUINHw^(g7Xcfzq#Hh=cIQgWw2a5@94c
zQ92@(mn*^~vC2%lD&bIfZsaC7-sdRV2B!(9f{RiuYdq`s*WeqzVE=4Cmg4fLnuY7T
zXg{NV0<8|A2kd!wfuJ4>Y77C0k6kxi;~xZA@}|E;li^^u<w|^18arT+{je5+^<60%
z%E9y!(i|=Or(2aA9CX=~n`|DLm!V=GpuoEME$YlaW?&t0?3%W;;X|N{JUW27t5;z-
z$R7aXE(n1DCqlF3WYF3p2x*y_n==4v1(4@>1p>+yPd!1OFsM7dd-#(S=Qp<rPwdc>
z#pnDpj;tG8o=J-Q<=_ae)@e*MH~_IPAdCm3ekuVPo)=``hFNd_ce)0EnVJCsh!_SW
zd$ZlLlq)Jof)NCMIF_#4ztc*;Y1FvmTP9xB))Xe|TqKoa)sp^=cl!I3+^LNr*CEN$
zFvr{5Z`@-;d><RtadmiD#10`syth7XZFVV2oSu1x>GL-U?<rZIp+^VC;nMd>3KX6Z
z|C$^dt0m2YQK>G?N&y4A_xSFFJnZR$PyfT2K%dF_@f#;O)l!o0eV*s#R9_vt+{Xw0
zX^%K@I=5rz)YUI}(GJJ+_d=yvDYv18xjVKl(z#&NJ_=6aShlHfk`Zm+08vV((Q$}>
zLsLD)(gYLcn+v_NTTi~fYwi78W)Q}zi&mY`#YTCTHT)3ETzTE!unG3cZ22yml-d=H
z@pHJLs+&x1t-QoD8sgm00($qIN&^2i6uUu0jlcQ3AXd4~eAxrMx9q_F2iBLx@q_VJ
zpyMJ24YKTEdTkSbJT_y19g9qrZTE1#R%AT@8oZ1CGb+*qaRR#_c<1%BeSTeR9>7>N
zX7A?=;v~Umuk^(EsW${Po;`2TiddCtoOZwXf%XG%X@mUMG%u=caerVu1uYYH0Nl6l
zx-$oFcD6%4*j}H2DfJ52e}AQONOO-#{g<=^-<Io8`tb?1Sa~TV1H|&MzO!h~N5^Rj
zcx+2F%z;4HJPk}Qai~2N*<9)E@0?mVe@-2ic13qWeR#9_%mj7dV@iyQMrp}c4DbU3
z_bwODZn(qE(xA`Njbxsv2j29I+e=d#QM**o3OI3T=uA|6$YkuRlhGlF$wIfC`%ux)
z2p!M|sSXP#^VPO{oHVK@!O8YpZ)S8&A#o&M2z7X0tVpx}SRl4o>e1ic0V{L4>SV-H
zr#x=xl?bIGTc>rZgrRWD0On$la>Qx7bGHBmooTqh=|txL_)nV5_mb@89~pQ~JJy4c
z*L-hQ!HL+z#{(W~5J5yPiQfz+Q1I&5t+rjg8nZ4ZB!HT$rtP2t__MY^+l(lmHrv^~
zmqZ*8qAY`iswHst-GB(nX~2?nT#P%9XM<24Cf%kE@YmqC=xJ*5nEy)a@_jG>JvMC`
z<;^P&eW>p=YdTK59?lH<djxi40h0!rK|DcdH!}y^^K0fM$hiVS+$S(5m#SBipWgm&
zBGp+xW;EnJA~xdWLu%}SXZP5KU<k$Q|4VrIp=NP3b7tZ5%?4tENDj>GbRQv^rDW=p
zsDiq3+qCHbY@8zkXOsMz39)<cbklMplBPNY#v_$d*SI0>iAFp$R5m`+c9PQm6WgKF
zkcGyXrGG?^p7Dmu$s0$3KU|H5kZvC%7N)u1V{%5e9ZZy&cVsMy(;wodpjrlbZMw!b
zCNFIrL-k2C9y^r<3yJa&XG7HIH$yDwxZVc9#65i$JhO_wfMh$nw1JxFKMx?5J~*$2
z{}LP9AZS9bV(7vk2qb+~!HQ*yrFDSLIf2gjBsNVqMDjt2l|QekJ@Rs)V8wd@bx)c#
z{2N*srAqoje_+Oo{cuSBwJu>OARWPH<_C0FKy~#8Xi@Fk_Dg_F?+@P%2uY74;Mf7{
z2uOC`1?Qskgcy7$nEq*jfC!|B0xA;@jTpRhJSF{C{||_ugOLo%M<Om4bY=hrtf{Z>
z(?Xp|EqEBzzIeO3UcI__{GWaPe;3c|F9#<1=|;KEV*i)t*TN#uJMzzfz6Y38FJ6tQ
z%l6&>!JIjrl4ukv%F5D2{9j8CP1@hR&a}X|gXbX|l(>F@MC?cf<y?U)ILO|~K{m;$
zCu7sZ2ZfD;u`$B+@Xtq2(DI(gD+jJ<F`n?ul}|=lT5MWxl9D&2*-n$u_h{|A=zhz@
zqXWNt4_ZY5&7QdSy4^aqQVK$Yag#UfaTf8fp{1vsE)~M%PY`(riNsZNoB@*aKS=2j
zE4&I5aNL#<6nd3>VUSJ?#OSxn$Aj)|;l`EZ*5jTk_VxC#``=R3$-g38f6oQ1xr;?q
zQgT&DZ2f9iSqyPk^tG3<iv1~F6B-jF$ax^(YEekbBlB*|vu=^unCrH-?)rOpR&f~A
zj&45JY<#Yf;O#AC8#9E6cY$`S*@U$hrgvyDv=kSnIB&|nVluf>FMb*Lu{4e#SzKFQ
z7$JgVmd^YM-i3r)ay5k>>Eu2Ko&93DI5UoL&UA%HP4{5QNZ{+VpQt}G@$MB1K%{i9
zOyUZU_!)=OPjyMD9k*}itvtCT_I%?JI^!Ym;~EkR7Kh5*IAJCn@$JtJd&hZ~MLCgF
zP&~`Egbq!i7j;={&p&LG7)l?KH$lC8@o7}agUSB6rtv#X0Q<=NKMZ#U*ZDAXE-e&v
z1a$d~F*4(=tdQP#cuNlYV%qT=mQVQ1b}T*7sn2Qm(3icju(v8rPzNd>1f)kb>(=(~
zCaxAC8)gzk4}+WYoat&kg!4B3vJqb~TE1n4&F%>N=rB1@kc6o`nX&W-%3JnYB92ZX
zB|DZmoFqUadWw0cFZjzzfr{h|l+rF0F0^fXnIaV_(U9HX{eeYx8Y?IN@U;+J+439t
zlK;~JyoK{tvxWH1oi++}HTQngY_HO8V(Sd&4g+T4^YY!Bbn5fEEqQ-t&UilsD9p@#
zk|B!i_L>TlT)tK#Hs`WkLe$K8C|1{ZdDCfAPX|xjZhIH$uE|nj_Q)=|rO#(Gp=&fc
zy|tmP`AQRX|3k{z;Yjlhn+(!>{it%O?9?LSX{+Cf7UMHnEHOK5SZxImPnk^)_HF*;
z8mmPid7otFkX=%O{yQu?xUFcPv~FONI1SeBXP}la)M|{v$c<E`9WACMzp_(c4`JK-
z2C~J@G{LRy*cX!@$LCB<UnB2l`(Wg@Av4r<k!xlU!X}IfF%?XF>3=jTjZo`YV>cc8
zevD+}^wZ@i8?`QMK4!h5fkpi(#mMth1&$HMTwqx!rhxbgCj&Q>JLG3>pOyl?z_!K&
zmkT3#mZC@|z7Y4lC~|=lBWG=3*3Up@xa3P=w;1U2nEOsTJ-6&RIT;b;wtE-(?H^LK
z@AD$Osm>6BF3cL)lKbuCa16At1a|ep(MYZrEph?xa14M;u;5C_%0@V!09$a&R-!zi
z`Z$P?7>prm20Jqli=vS5Ujq0;VRGoTfCdBzl~q;w99B1Tj;`kX52FZ9T-YW@oDS)O
zO)$T}d?tBN?4M&`Z6o@EyM8PvaS2_b`i=9e924Hm8|q^e-tfhy_ekC|<cTUa7Wqa>
z6r6^H(@x}54^_%%msT56-VaSa81jYjaVuTkc{c=}KH)tk0xT0up>iy0q!U4MRXru>
zi)!yEP=oo|-pnFE)VU79#}~L(8)N1?G3Pcf<k8nVljnYybQzHekK#;d=^7ib%faBK
zZj3ZoQVYkW)8&Twpd*J8VQ6;IxGL^v-MF0ae*Fiz8?oJzc(ytlw>+#-_=+kJo>~?j
z-K*vi5A){XzEz;;DZO38W7InPp8IqJ!nj^Ro7oC=JG;$C?KN;m;)6Z*b~CQFww8>;
z`~#rOLH6TGmN)pEy)X9w=?)>M+HFDc-_zCOfu~y>MR3A}TQrimqtI%2DGl$z<9q05
zKaawrnnH_OpBb2$z_0ZaJlQWCu4CV_#mdBK!>eEvXgTpl9DAgau$p+9&_d;wbK*2*
z&^p}DF~_<{<(=|X4Yr5j@Y951y&9%`=G9Oppp^1nJSDhhoM5R@kljh<*IM1~n-}<%
zyA3m)75jGJkfnte2QqMAmEIw2iPF8%jb&yPOcP|y3N()>HGtsbWXQFkCX^4uUz5L^
zIKo{CC57?<I(`H1V?awj9hQLXF(54uM<vqG(|eum8|?o)1HZXG2yFqV3s~6>Hu}O#
z&&v#f0s)|H2H@wQL7dmcQmXnh7+boZj_twY)RPi+{_9v<M&<~MYQbc}rT%jZ#@d3R
z$tlVVNl14wA30g*7osd-Q~A;EI429(B|Hy3n96wPnkrRO?|t$9eBxW2qcX^YUg>R4
zJNYAg%{ozz(IeJ&RYqmIlhM_Mzd?rhvEsvzd~}phuA*;}-}142u;T7e(OFJ$)V*{U
zF^hNUb)ljDWXBq3mOsC?^pO;!;VfiNe#Hv*XKKWJ3}Le0YEf!&e83<P2~3TR48>Ih
zb%I-uxp1m+w8CQza>7~1Ua$C`;aG!TuWv+%R-uW>KpOFs%kswGz-UCL%^>D5Il~6g
zA5^(r;^|OM7`w`f!-ak&lbG|i*DiO-X#}Xy11h_E3YW*af{A<i%1)lThVTmXr|eyZ
zF*}qP%kl;XSR2NoU%$^C&VD2AQ>)`js-uD%A1>*GMi-oDw3&Z(0%QQd3*=pbo1K1F
z4}{~WtIq;=E&#zYK!v8o?b*ibunkxVu$FaQRolN7Xo8Bjm962VR2IWnCu<v<Q!q4w
z1~^XFP<N64*=Ll{g#INpzx(J<=H0ii-HjK?I~K;2IC<+#PKM+@AF#dXhWq)bHde)A
zI(a`?I~=aaYLk?!WRemJYKh*>z!(1+t!Smt*D~|+7%;8NDVSfbRC_4A`>QUZm(T0`
zrddM-Cl@qF>GU%ANrx!h`L{pTCn@jbNf&NTxnNS`@KF`zkupP&NOQ`S8oN1mDj@fB
zBH%AvCMKhpZV+jT895g%#>v2(h`Y&&ATbCoM`e2<S{1P1-*o2PZ3UKm_nU4WvbITI
zEMY>qnWw{X@@Qm|ox&s=;8X~xW?C9Ez}>K-gdp58u^Bl}Pg3|4_%fB+H3Nodu)Tl>
zyz$i>nC<M4Ut3+Ru&ro6Tan`Y`E30MXh`S(`-Ku{X_^623{FSe<)&(oJ^@x5xfBiH
ztp_jsDIn*-|CeYl`>If)vUKVY*qp1L6;SoplzKb1B>jh8W+QN$*c-Z?kVLg&pwWPN
z`K9%qzBiEx5|f9ld(p?w_3w)4aT#Snlu2m(x5FQol$L(Q@vh#I?p;4%q6a9`zu`Z1
znm%4$dKYedjnkA8Z#NM~2A87g%y_FG!ip=N@%CH)H@&>|%d9XnqD=4z+Lvoa-Eiz}
z!(XjKgO0R{%zugXrQ{=MB?!}htatH0T22(E7%u!sz$S(ng8fc>U7J^NipxS?nc%RO
z>f+*3)0Wz7hT_BL-+`lf$`z2E3)?cDHSv>FbHPZqGyJ>rk}lMR!wHBDkb_4udsu61
zYyNK-1Re2ipc}+x7$+qU&}-A1jpI&@SXd&lFp?voMu)ITo7O_CIY$btzEyd<sZ*B`
zXv?wmEtM3fcD7@vN8x!C)xww(E$YhzYOHa0{+4OA+-SLc&t#In6e<T7Ti0{*w(zi^
zn**NOH-WGdGQ$`mZh`NZ$|)YMb6Oj%|6%gbw6Pow0Xe+YyhSCr9@*t?__)af#UFC9
zu0<6jncpXN!FhCSsdR*1Qe0gkl9jI(`suW}SOF<N(S0MxU<AT)ddM!2=PMb7H{SYc
zop`oftfwy6esv?p5NU!hdfBd-OW#gJ;(y~8FzW<LS}&VpZ^enj(l211b1Tx37P5TI
z(Q?=gkdQf_3;0bRUSu3_tg)U(8Ft<45abk5zdt0sepYMcN=-Mw9789y!TWdU;+=to
z^L1Df$KvEO-&S1SwL~U?)_g^N<i5qe)|=Wdu#FafA1zcp`F^g8w*F;Z)`$Mg5(v~}
z$1`#>__8<oFk{hX^FK;XzgjX55b9?p|0ALvO_=KNjlF_af7?SL$!;FVqJYNihNYLR
zUmDSvoo4H1B+{q@?Ls&mfE<7|Uuc|+$_yWX`+F{$canJ|DmFz1c}Dgl@n+5UX(8Sw
z>?xSY#3&V7nL>)gdt6j8+C-Ea>>?uG`}Y^ed~CEpm*s^)k7dHR*HqH|z<h#jqDk~B
zChbO07!l8n3{1seZnl2`mq(?3yBlz(0OYs}#Av)G5!Qe%^kh{<&xhk?UC^rt%x7TL
z>F2uvpn%Kin(xKV7+_~aUhaMagvSkV0eHB$W}Vv?p8}QsYZ0eH7BZ7Tdr$t5n!U6%
zAX~)OKee0WC={>H0`JwTb$ul&{R9?~jtr!;OXXq(>X`;{YO>6dv~j%5%G{i@%i%ob
zJ6OAraJ7YRt#e13qZc;9s6`cc4@`HaYz^9QCaRo^wIwqVZUZi;Ci&{5m)dfVcv|FR
zJ+>k?QK8A~O9qT}5o6@<re@~SG~+YMddS8h&}ASEG^Z5Pq>0S%Wo+b=Jf;(-B*-&S
zC`(O!OOd8~4DEoxkZ2=)*QG{`er<C(U!AH3Qo~;%j%77_@2hb*GUO#@1;x}*5`NN1
zTg+Grb~`sTyiOCRgJ!cBv}c3)AQ$=U;rOBu)FW5`&jAc-1};_IE+0=Y-!X&E*-&JB
zzx(}C|NH6Ok5q0t0sf#56&{^*1>6~6W(0-w;beXbuMP_x4UHyHw#uyE20rO0prK{4
zeR8M$ADJkRE_B@qlw>EgE~~p7<-yUN=s0l~8(C2b)A|mVUj)VNCTD~RaI%>6{Fa=*
zEw3-zM`3JeJKK5FaG{6`h+17=eviGP9XmJ6bhj-OV}v^1YB+@Qrtd(TqCr%iHbl#M
z0XWVYhD+UoRJG`2Mi4V~6{a;Pw4x0pzT!)(=uJ_*rpotRhqM!M>1ER;q;+kx=QI82
zAs^^<BV#$KM%eZVxmcmZt4tIh@n9+7M~b7wQZ%F3^t??i2GW7|2QzcsfaYzxj5t(%
zi>SRBB5}0%Ys>iQ7V?M_GZNdv&g#{?uNEWwc@H5pk4fKB5V%{>8F%Z^mfR)$2pi%8
zOoSO-;tJk3-4>|i_;@SG&ci7*5S+}z;phc4Q<z=B{MWe?*3iSl4fv)(cTt^nWGKZy
z)n!9^sx<Xzr54{u^PxJ>W@E2}5gK|%FCw`|m+SsCnAnlYdp;Nb?Yt%}>RyTn>N{Qz
zgs&G&UxrR$=Mxk+EH%R#ToR8tZYuQiXlbb~F5oJ%tHWH7|LAJgZU>+7Ob1(XY;J6y
z_EEwV`Qkd{_n@4t1fuD#Woz~UO!)~t{2`l^+%<R6p{S?28)H>hy-J%Y0itcG|KMTK
zn?ls_dJKlcrGL^cgv)uTFlC%I!OCS2EVu+qv%PNlsd?Q8Y$-uJ$#Uo1$JP{;3gs9s
zw9^i70#BK0Z}*f^6!dn3Qk`$V6r#D2dbA&wRX|n79kfu>i50@lsurT1uDDe^eeHdV
zxlWCR)efZBZ#cO*o7ZUu#ea;`x;w07dr~l_=nG!7-gCj{Pkzo8tnp+;CK7E;7R{c}
z9D<HV{po&j9Z2XddU=q?_;0+GYkJyVjGb1yGQwmEo}Izre&kDcqpd{w^VWVp2MxRD
zERD$b>F!07jNi3b-1Z{mho|XK+qwm$7oALA!+1M()$hA04myvtk(Pg@Y#3sY{2?Pe
zp%k0IW7wLgxj2BML9_{#iSf_~;lY;0(h~Z`(;DVEd+-6<X{XyxD(pte=*6KDP0MSX
zubGi4Q5N%W{syL%<jiA45bAjC^p_<Cq~pNY#gAEqiNUl^L|>m%Kc+){jK*vu@`rxk
zAF47hYn9bDG0h9R1k)}Ip$6AU&^WkO)ok~>T=a($UO^=ja(*AJ00ZoPEgMr?(mj3N
zVNqLAu2SFEoHD1cUU5%~e%oK0Lql@ELToSf56Uz(xL+#tO|W2RhP{Z}$-Ia)GSs)b
zFg^)X4(}!NmOl(V&#qmTu~Qd1<W39wN}iyfR?!gRm8jnYzuV*cvZ8ol=*1-KqT(jt
z)!u;YIBi+QR<3LbmYBDl&=Ih&Ne8G_fre@vw1@LPP($>_$S6e?%R)cS8hU(w?I&*u
zvZ|}+#6kz+c@QF?;;;qAw6Q~N{3~w4&BiMz^epxaS&D6#)jWS%4-q4)Gbyz@fRz21
zmtcX?L5ghMi|XEuo}AuSsql%TPDR4eD2%B>J%2yj<>Vc(En8NJQ#7R>iGHrgLUNg&
z4V76)AWvrf!0>*;B;yUc(gea<4=b59c8M@la*5($epxqMW1VU_G&ag?iIllDT^LsX
zH9<mN0asfr9>Ng+-g}$Gv3@^2X(e8~6iV8(Z0h9CybC&*`8#R<3^g*P(hdj2DaBlR
zzSxixN@l(@)~r!nBv)T<6D7PhLr1D^IzBa0QX82T6Viid6Sc*g3Mx%#Kdfng9i}rf
z2zOV&h2#Sw;lc%72XHm@z$8uK{&}fkKl9I{xuj&M^9fK-gE%uWGqY_FBhg5UwZw%C
z={KB6{krY|4ELO+0^EJC4FX^tI%i=J3)%_zPr$^|$*dMlig>;<^X1*Q5ia_p_kY2&
z#m70)r9e7qd5^cui&sWj`pd1!rtCP9CGM1WbP8ta`j8GvHo&UUF65za7vh+OP}j+b
zq-@!ld{~v&6+6cEw^&4;e=!Bbc`{;P;K*ZOc2XbZ#`|rx<AP8g0nXIKh0vtW6Eo=X
z-jk2f{o#@EEMF1-fVe#CX)3$GKw7o)gt&zfoT1|x)EuN-{)E6wlY$+~YKi;}CN(l7
zrVh0k>vDrO!%5Sfj7f#Aaksp0^eXgwc-2I29wsN(b~aRWu6eCx*CNs>sU4~p3ZnF(
zRxK}ng-h6E^xh$``h+5p)~PFA|C}vRAlmGV0kG*nf;8#flswC8q8=9)7bwYdVnFYR
z0UYuPz$=GHEr72LL=@Qqh6xVk&9`v&DIR3}dst+=Dn0FQCikF&8H9#j-aZIR)3LCC
zz|d~z&m+n7n)<HlM^`Z37;+~b=y)EtAI8s5M)2Yqs(-p2ZHoP#4m3Tzd@EElDINb?
zLoUFkG-T@6UNer|eZ5_UDDO=UQ*+dr<awo_Q>U-h{g$172Yp1gyO$o#ZzPovU6-IS
znGL)vi5*Cx)nOS?AwT|o>LUKs;Cfa<X#vj`g@%(XU4hm~LOfK$7RPUGe?zL*xc5g@
z41^dTnzS0l$>j^O!rRDfYcU8jMYFebmH6I0rS6wvAg|W3dqG9^`mviyT!tGSeQ-$m
zO!y4*TchTC(s7-&$>f-u6$M3b5ko!xP+uKh<yJ*HKfm{8it&fjLxWf(3QEOn-iC}m
zvxR?C^^3ie!UiS0=UId6IlQ;?x3d~(ABBU~CO;%+O4+kuz2A|p+hDAS;P$W8{*wQ3
zx;N|*DeD&%nM>?(Ihv#5h$QoUrr!r?3XODnb~>Q3b#O$1^h+W8VKrXSlot8ES>EcG
zg}ahclL`y=vq)^hdxbnMMyEuc9<TVE+)91Zy%X^*2?kjtMHv6dQse!TdWOw@!UVtd
z8ioq3l<AniI!0u$@y}cr5JvQ>5UoF5Kev7$A*Mj+ISTy~>C&7p>_s|xbUb(v+^Vqp
zZ_lE4^Vgq*`Rz!cpgRF!Re&xGcvZ>1nR);^gpv>GANBQDOB6BzGGPU_H85cUR;v4~
z7kPAaRI^H}4seP9lEBBu2NvGjXpV6$;131T1n?|5fJCbzH54#rwu4qE@Vq^Oer5bx
zBL0S+6X<q=G4TMUjfLDNQ_+ZGD6oP}+xu>|;-lsUfp_`oRiJ{qaW!uUG9kmAPeuT-
z280dJf9h=)>jB6Q1es=_^?IewL>lZBAi<r_xc>{FHur(n#9H`DDPD9_<lb-C)hhFz
z=)rbzG$FU*Lf+i^5;6@(TVPwvlwfmdAl1lRa;tP{E?4Z~z2UT+d7$CLo`6(iXAicm
zc({i)L)TkRf|p=Jl08>@Y0PEYN6r{xUl_x`1T0UO-OL2ZbDvEYWZ%js*v*Ij$X~ge
zFxE;xde1fc%SD@}>+kHldPC{zY%Vp8xRHdIpl@3&NVVRMnJ>$DVH8uBB*y=?Mr$tq
znz_`~(j$&8F?UdBdiAjRYA_;aggqJ1;=Gkq?n5k>Xg^l2#A*C2*6MbKWQ<bOw~M$t
zkgZk=uRMlOp-&nySRdA@=TaJ7RWroQXR@791F5!LtRK70EVnr782xjJxN!gopTyM&
z?%L`mDc>5UeZV4=Q)W&^STerb!F!QR3sEQEa_fmjDWxBrocfFECqKDuI@K!OE#*r$
zu%v=66=u9ojiXLf`_6NwJ4mDb{9nVQw=3s<Q3mw5*hIGsvY-wFuI|LS#|sqZj((@H
zf*Qf0=(|5b6k0gPce~%j5+;PT8;;MRBiV~d;puEzOlhw_+<h&Wv@(-x{0Np@sk$9+
z)GCHWJ|1i3`{cLXa&Pqng}m9=^oXG!7a}izu~=NzXmL5ssY`d8Pqb(Jgjl`c#Ln0I
zW<p64VvFqUgW8@Jmd!&!%-N%0T1SyilPADiO3w9#6%c+v(*hblFF;Bl0k`b}7$X-!
z4?0jetpi9#7x?)BnD_z`e6zd`%7He<aa>(p9kjyUf<|!naj+@9svYET&r3y~%AI$|
z$6En^xPHBCF9NO@9@_<n=eyn4f*;V9C=4(jLcbT%FmtLN_r0a!<&E$iRq^HPhee)f
zQX&2nL{=VKaFOA6-%4sA0yYT9H&&;L<;egkjBnrpT4S)OzQ8JGv3i?liRH?XaXm_3
z()<59z<pxV@G*85O6&STR{yTQwhB#WZj9oP$TuXX^a3%u`I9DB6Gb4d#4Q;Y`>6P1
zI{W>X5ssC=doJwaGFL5-jY8qAVzGqD+=_C4dR2lQ`2QtBA1ME&Z;|o1n3;TLg&Czq
zDt${`tS*pXl_4cmcBtgx&c22f0W+gwNOWvgm=}PcM4}X`H1tMG6~ilgkC>QQ`WHWP
z_uTuW_ZbeIBHzn%hHR~x+Ut|~$!9lPxZOg(h{V}Co+HG5?d=S@H&S(sy?=s=F*=V6
zL%)CD#v+USSR^GCH1tEV(FX1=g8%P91GD+=tb6hEH_uG7^t7`2)CN-NkzK#f$OK9c
z1r`WzCK<jyK@_7Hq*8E7^&DiHb}4E^x9JuJa+kWtJS&K{{VVK2fseF|QT2U$RhUCk
z{a#NnVIPJKW~NRsxI;lQ!r7i>4m~vJ4`O;pOw?|R;bD~9j-Xe9BG%r3?Tt4g8&5%N
zzomBNyGKgD_SiO|Bm|lz9m>-;+Asew3w1^I-3#I5$J=-)4x);SB=znv1CRUJ)ET`P
zFWRviDpgnMu06|<q2(5&<HHz#=xj1c{7p!du8X?wtl5fnkI~$X1Kxs{r#~-GgCfs$
z;J^Y}tMN286A<U}dX<8+^woAZBLoQiG60MKS`omApeg6Q{*d9z{X7u$G<S8qlAeF=
z=bE#eUs1)gjlTbC^jQ4<Mb+1{Kh5NP0gv1%+|kmu$P>8B*X+BW);tI6-^#rzAO}IE
zNTz+)e%3o?W>O&H_!Leu2YxL$;WgCMs<iTtlo7FTpm>`7>uLtVwegX2^q7cs>Kh66
zjlcKX$npwq>g4CG=4>BY?(q5Em%i;B^I=}}?a$s~4QZAsU$cmd+Cmyc+f!?B)15N>
z`)SHhZ4yWR)+C9y<dOg<+t%Q7!wU|RaxRXQ90fhq-X?Fcy2K!}x%(6s^|>UbI3@jn
zC$f)AJ$;H*NV^3Y5(n=^fq-`eKTe@>n+|F*LgYw(%v2=GqP&^hx=TT!&tb^%XHD4h
zAd(?y4_t{X^ZwDwJ-3~=0vbBa{2TKw%@&a*i(FaRpX%jV@b*O^TlIl^0-6KfjsO?8
z%N_sxOX&@MsHm7Z2bv54E>zs5J6)s;#;nqYws<Avz9i`%P!=5_QBuXc;T*tM(EhK6
zp8%EOFWdTRYS=A(h~~VDd~=P=5S7`a2Km*@9$oGE!rx|`j*JWgwvBC{G7a6%mDmtl
zi5VE~vW@J|UIBJtV{ghMFS`TJo05~{7g7h9!$%&A!lu#(FlRHf8_-eE94b>i=btoZ
zw;tlXak75>vvNMdPU6GUfMz3;drzUYsrqj%df;<1Z9|Xd10NXkrVMWFVH(Wqi<4$t
z5|?y|y0U17p#2xXSL(L#Y4c~yAplN+whIv00g%w(duQ`h0?F?HZ=D6#ca??a|Jw-z
zfFE!eDXs>H2*ckRBcA=a{mJv%@%tkf{<YLJoY-mTl~-{5+aC`PjEk<|L@X(~dF=!S
z6b1iT5A-%FILmxNzfnff6k^wc$9mqW{c!`wRkPj92t2nZ(bzZ1d`TPn!g~b~-uJ|?
zVc7G#<ZFjcWsG8m7V;#($o;%9#dumN#H)ri_m$sj41+mz|AMXnCYzUAHi?Av->#MU
z$M};!N#H)cU!lDCH<6TH756+lpBsS@AP6D5xD0`-w_iCa?^L(G=lqvsOPhFH=Xa!w
zsIl-~yiTf><_C&kXXg7pytv{l!|Lxo5f+<&DW|fN(oND`s@|yfYOJFcRjKF+NAS<(
zj`DbPBE~%VCGjpl{J6T0+Kc@42A+b}q)vJp#>sKCS#&j?ezP0}<a;T%xM+&mHQN2*
z!axk_t!qw>zzi18_mOXlq8)~!q|lS=WyA9r#0mX$#%)(?b0#6GPBrsrV}mF4OV0au
zY|8y&#n3!NC_)0(AHC&m29v@sUvV3mrpNO&Tmov4iRdi)<)3X3a>;!V_9CEG)z8at
ziT<WJx9j0Ar83}gXVT9K{<MTISd<_3g~&M2TPsPyoMDO9882^#9|`nevFP%B({s4R
zX(0IC#&gKKxCDjZ=-a)Kt385FYJ+Le)BDYD;H>cn8Y7@AvY9Lx05;&tiV8ITy*%*q
zCxCYO0BGyg{0)p5{|&jNI{X1tsJ`IGK#RIuZzd0}ucc;tLx9!3Jl&M~>;qWr{#7XG
zDj{sJFotT#2>I;ZJ(}?O)6ZxEpcE@`K53X%YzJL#x(${It`Z;;H5{ER$Knc$YC@}R
zr}Ij8S{nH_c%P~dE4fy&2=S^*i9aS1hhiO4rqg;qKXU7@anan&`3LQi<1K?^Gs3t9
zQ@`_qaZ(H2S;96kXjr*JAtB`Zs6{ASxE2vUftQ#VH0-{#8Ax6D#!Z#JJo1>EkDYOt
zF(E?3Y04!!Na)VAJF`TZ531(r^;8r5A-{)v5;7<h+h()tB^s^h%I#|N^j6k-zhZ{l
z^BH>38W3>Xj~qj|Li`xuNuxx`-r~@*WG;51yTH!boBSya1Nm)D-b`7W_ATzAwR|ef
zkH}r!rBO49DcP2?FkyW`RGL&B1_Z=OGWN)Ryd75qq109+l%WlY%5s8qabyNgj=66q
z6s}e<WrUO0+@;-1vO?u`8E}l2fgrUt81dH>Bf2Dn<5+wftGR9oof<2LsQzBI7jkV1
zUu_w;n9L*_Rvw<?_EHvsO6LUHKa)E+;s4VDFq4XZUtgUl_?@K&>D`R)28ThRDV{J%
z?Y+&vix(^JU5+5s*nBbFQ{#gn+#J~Rfxt<r2ai^mn2NPJgr2+?dyo?e91rv02mzN?
zWK<MTl!4)W<v+R`5Jbl9dA<dnlCq|zYmjq24fP1}$=tURq)(dv_>HErbYF}MDDm$X
z0oVENJHxvXF!W?Q!;`p7sB7wTIc*K)2zi5N3RfxR>({R-DX(HIfj@VOfF^jQ!b>dG
zrZ=Lfdv?P>j1s6`;M-klvhyBgYPQ@L!ke9)1)jdw*k_=9z5W4D#=DEgyB-h-4IfL)
zcMe31K=jt>S5#4P07@FP8Z1>jJ?{YRz6`)wK$Rv?N`qF6R>SA>)C+sHAR)|w_l>7F
zmUh~SXGF{b_l2fyEPWw|@4ppikBs95Y|}#iSTHG^uJ~n$bfZ}DGc3iP1{uECR6j4e
z$@#PVLWmEqo*WVRBU8DOUv!*kkxS~X(S#vo%`9Rj)rZ)bf*@fZRV-ggY37{%Ow?Rn
zo_I=LA+6Nbqe3ZL4X8a9!g%y){~_78RRr(hiwv`aGb5@tq6epG70Fu3qu+3(%><Hu
zCxK^AvDr`A8x&X8QSSCaU38tuSk#Ml*+$BSm0jv^Zi(xli=@d+E`wC~w0(Ch=|2*+
z#Fac3{}X4=jBW$kaNzqlog1vq_ncfx364d$ecw65VP|!q2n;AxE+{%Dl#kg<j-jM8
z9&r^h&KgpQ(0DPo@F5wfymiNM^a5p!I9xx~qd(PJ6AgQ0@4<h#T?`5|J~(sP|Asiq
z?_uY}$yY4H7m3*&SkoQ7{}~E(XD0dh&%2*c_d#0b0_4h+qO(8PsK2jCk&WDmj!o+H
zk6Gfx3`_Gd%8j~7NDPittM5t;mr<BpSzL5X{=;;e`v1r}%djlBHCof%-HmigcXxMp
zBc0MEs32X^NFxeJN{2MkA>G~Ga3*{2bN-z5V_hq`^!>hf&L_sWM;l5HUZ#W{{t>*X
zue7K9pF`iUUX;O(%Z7S#P2=$n-~Co?u}e_WkIRxz&%Sb%fmKh%#D2Pb8qAKuUQFCx
zCr575`zLo7I|o=GGLrmhS5{Qv=_yL|k@Bh!h#+l8vh?FKg5Ln2uP?LyufkuyCiri{
z$sZ}U;>PKjjhikjYDVT8-3nULzqJ_xc>dc_ArGMQvKIbjHIVp<BL_~CMh#8PB#RLc
z19cCS@~>U0Xh|{6ZB~eTE6jFw;uxJuX73`u?vqxsFaaK8Z;2DR5(6~S1kt$XA0F})
zl;{suv2ioE;)P-i)7|^Xd+I^8W)o>L{H1rTB~AT%>)$r0tqxIEEK`X`p*6UuX%mZc
zyvFa!&_`6)^&o8d^&Hbaz1fI25Sc#_W&fe6D==kVkw?`RvG(}>-l7+h>PJevdUW&?
zgtS2P_YcdI4kFghv*-C0lv~oHkU7l8G17JS+C)b_RB?V*{CUimJng#7c5s4X$X~R2
zi}O4!FygG0)|z(F4d7eX`Zol-#EVu?M<%=Sb<;mNQ@S_vR#XcJxryKV`cypsfZVlL
z!sYO<G45x=)N@%F#9{axQh}@yHD&(yqZV1px?3VfXc?w-#QWjryrq<~3PnNqx+B2}
zbXJ%>g{KgY9pMbJvcUvl5U<P~sN>AA`mUSW-F<#g$M;P;rN!!A%LHx#S8BTA*TaK3
zRxLt>c(dP2r7_q?6Z*Jzr1YFKP@aF;Tw;E|g-Y3X;+m<*P8g%~%f5U+4%^Gf$)(B&
zJFCy$X;^{jj(47GFd+DS^BQIQW63X5mNFBVgd8nm>7*}p(jI+$J9y=$$OjU+dFroU
z3LzkbE)xZWhZA5(Tn48aDBJ&2!h^LmSYZR_gy&+T8_=0@1=d$o9D<t-q+fcCT%D}E
zfUMUeK*&{B9|tN8u>XGs5f*!eKFIj2LR-n2KnnowKMrvC0SNdpa7R4?SxXwLu>i;h
zh!cIjecjOk5r3R8&*N>v>IEF5%|^c*%c(d2S_Oy@T~KLhL#rt78Ln)LoEz)Xbb{u?
z?oO&tpB4`ys-rXS<y{u+9DLNaPre;xJUj46@KPjmV37VIqTTOuM66r#g}q?YoK-+n
z`HL1V;blvL?<W+2{<00CD(|qYPl8dp@s1dpwo<zEFXZHX`g?B7HvHFiHZXyi6)cPO
z)}&l}eqgb1=lF@xV0~2BqL9Kg)U}O!>rdj@&Nw;8-hs5@+E_DhE%CbkNyz?aUeKWW
zoQxz=)>L7oY!=q+0k9XL#ZuvK7Kh3z6vX?N5zgTXQ~BFhtIEn|xOTm@Plei-K$p{o
z-NatQI6jH6W85;d^2@c#NGK!6ZbB>8-Dx>g=HJJcv7{UdRj5wh+6njlUE@?z>Se;9
z(-kv3)+pYe&tqQRzZ*XDNzZgx@9)8~+M33Ug7|f!?oau@a$L|y|7iEW#SFY*s&Vx+
z*!{*zb}J}}BQ=A*o!6FWv`c-(WrS5o#1$pyA5t^-)_%q@Tko*xZ=18?dB)P1{M&E{
zoDX_c?xqu=pJNA(rb5FGnDusi4aRmAWZ1`tFhjrB+=~Y_*WD{!OQJnP@nrM^7Gyzu
zjJS}_4+YgHXf!@EkYP|}c8jACdHI^2dRQ~s2CQ)4Qr!v%sMgy7)u2SI9sszz|AbAa
zaPt6IEH2<ioYs9?m<PJGVlsQ+(9qYPt1>s6@dV_Mr|HU|*Gu%Zj|9_+Jy83Ls=fm$
zuw6drE5VLeBfG(S8`NLyCL+F9TkxwG)aPv_u^^i_8vWK3IBSgvH840So1V(OPM3k`
zDha4}$+8tk;&1d<XM$<drl?E33e7Pj3lW;r=Aze%saB;Sq+^^!*g#zP8f@84IliVR
zwEm!pFv_(%1@{-=>v(-PcxJ_@O2x(;6z_L0oz`6hMZ!cRHiUZ4qDhpV_Cy5`M#gx#
zFCCJ~)V<%arKQ#Z1@R_Hq0oq0UHV4p%0YxYzol!6`<GbiZ1iL|u@=^1k&tY9v=7}b
zJsi_(natGCM<h)@#2F|`pFip?h*@DE9#m1++Vj6P`AoB5=W0)e#Aqf~otV#|)kSxO
zG~(*)r=_bjCGKS8?I+jAqbk28{Wr3$$R>j4`aK~h+zcGue#q!C|De}*N|?{P$?v)%
zOY3*NFTB#T5@EZa|Jb#D!Y21oID(6=ZuzL|XdREe@)xBp;d5%qPt>4l<RxX%$tiJT
zX*)TJ=#?{C%Wv!Y87U#G8ViMNp>S0E2NmLN<TBF1Eu_{$32*R}wKrfAqR5l^Y~iy@
z>x|d*c7dyL{JSn2kR>Vq1vQc8_=)J_8hQ!v^?>nZnP$oBG@eNpj}LmB><ivJRLg_9
zfq@?g>59v7UsJcu%24I^dAU#2eZIa01m6+9jhOg{PKjV(`*>BKqb~8du6E#bKdwcQ
zw*ho1n0CFID#`d<SAmT(7woLTK)>+*wEg*@{a4o7>qr5h6!~^oTTZ(Uej>Z;JOcSy
zcGE>DJQ;zoUu~N?$O^-LqvSdQZn?mc+#tVw3(#YNP||D<kks*ezx=zahvY2wp?Il@
zug6k7;7IvnSbSQsh^Z~E7KTR;+m4H!En13iP&v*Iu0!ovs~XD3>>0zrEl2b2=|X;&
zGucsp(O0ZGIm)Bec!t-UMIuMIw{cywrv2AEIL`$!24$j}M<w!YItk%ra&BiG=5N=N
zn;$P}_m&T)K|f7@*h>*JlJIs=8u@)HKm=%T82nj4_P&CTT{@|_UhZ+EE9qg}&50H2
zq}$r#p?Nxt#Etf}4sjY?iD@67Ahz+VH`5=eSjgJNE+0P?7n6|w)+dcdUOO;VAim@0
z`Arm{FG4t4^DY&PogNj0ueYeh%=#2647gaXqDUx=zw(GSlH$ib>(7VE*W(DsnbN)*
z_-AnW8$FS(4%>rgYD&u^DtHD9Q#wD|(%9&F5MwV?_fXj)7zd`GjtTb540NIPe=2Wg
z#Vb`kIheSQ{$vTarrYX3GKnUK@0YH$TZ5DFPw%I)Kyr>M9Z@nh8V!lb`*k2LecECR
z);BSUWqO?w*#d8^t6A^-3K%ZoFMj^2x4Ll#YNMiO5Fz^))W(m0uvH6drAB^(a@+;1
z%3dM3z{>-y3CFLMQ6G75z<vp6^nfAaKSj2n^<Z*`PmvY`Fg|>nX!dX(PUpa;Qvu-H
z9U#F+gB0o9Auw(C=+4Bo=Ye@DOU<l!+%6LPB8PR4>F3RiQ`$~1(lE8~W7N)_Vlq!9
zQ|w(qZL>?o-E1loRE_zhfS7a1Ob=NM5^_I#Jm;YGMk^NoX%?)vTt(ilu%HY)EtX3?
zLdhTWG@FY%ZS>HVFWZ8{C1{sC!nnvq#fX*VKf`g@tNJvWY|!0cn|G_~gW7wL5)+|A
zx~h{jAtjN1`dYn{ZelSz_vxCDvnD3FR5eky(rS?oQXZrGWf8C2TEXOp7&qk5e)j!c
zm$!c2bG*EMscy-o3cav`KslM92ExxKP8AH*j`!kd$G(LR%VGlXETn9O`n3j^;UAl0
z;dY^njj|TemZET;uWSvzp*o5*ok_W2nx;MvEhCo=ukGBKy3yfaoU>pI?IlP$e5+<H
z)v=h%Tam^Oyin)UQb}Zr$oe2fS{vDqILTG_1)eOl@HAjEd#*AmJd8~8$vTjyLT=@K
zC_%Kn<VP%Vbe&wcAeHOA<kW?-XSsa~2w$1JflDEVJ{&9&+>=ZMz>a>-;C2iGt$Z*@
z7;byMKL8q_;I$9<scC7s?t=`k?biRt^#12m=YaNF=S)pcublvf|4Zm)P8Wcsu>Rgm
zeDybs{N9@^kqmihe|cyJL{Pz<NHo%UAR3Ct|6$zBBW=VBju_x*;_@^EJD1r?)0enl
zjD}X2Tv5*>(U$U|zOr_=s)OEZpLdI{?<N`QjEhwT$wG+@;aC)4h^RA=Dfp|RrxyNd
z>u;TDHaE#J{N1ftb6yD55y^NMl=(02pJni3xu=WL$e&hiZzvVLyXPUy$}t-D%>rxk
zuyet*b58NC-eHczfh!zQW3&JMSYaGY7@47CIwC#-ug7~!wwlcXSH@+{+<>gx2iZ5x
zQLLo-E(d*{1&#DS0?c~4FOz2c11t(R-ySv9B8a1(I8sl4oAS9d@4O4ad)zGf@xqyW
zNSmu2J@Mft)`95*_Q^O!#PV`li9gCb>L8vxYUVdpfG?;}Z4w(-Tn*miiMXxa&`&qX
zCP=gQFp15%dV&x)F!{49IhJ_N^KRo8i*z=X<KwT(Z1?+o5nrA8qB5L)BP*F$6XhM6
zHaid)z=sL^+)iyB&A{EMzr?RQ$v{7=)LTtw5a=E<#wtMmh!RswE}U<T=c_kUqoLAk
z$PScqbxAcTm|DhRKkS9D=dEomX7;{x@dsb-(~<S**fXUdMH9QUxPccQ6tBX-;sns|
zV8{c9P8I;9O6>rO1RULZExu=%vLx!7nl+ZPF|GR-QBomsec)usyx#yVJ5o{X10ZC%
z0k`q&^t3RrmV&);nVhfOY80u=;b#y_gIgvF%%<S7@a<^hPg!Q~+#$=<5v`;A)p4_z
z{LDBuT9`b1l>*1Jc!_%bJ~^=ia*ef(=i}G!kZE#Hc>5s=*=BB@OjzynaJEP+u<HIc
zzU=%VqYhgY{EZ*0UR<HeA`daF98VT}%S7NelL#rJ8n_tF6B_nvly#483j@vLb~L+%
zNUuCfmCQuY9{wpPdk4blpNG&?hvSF~FJEB_J&IM(@**-+cl<=SliJ?k<3LiEapxm|
zrv1$88~XRU$>k#al6>L=S#G*KbAH+}2@A0;BvRWnruf)T_}SH2qSPm=qs`s7YsAu1
zBqBWxyZ@%UCq7IvY_{u5B=6(?Z9-*=PwKouynIud;_>q@`mgMxqG=*=Z7kWG_|!k8
zZYeV4X3mo;cyJ~|kA};s0#8NKn)Yu)VE@(6C~$Y)+BqAk?Qba^d9gvN6Dp@}dn(n(
z@FBkyD9&Pw!W@@guc=yT_|*q>{@an_6tWxs>4O&4Dhn|U>P~;IZJqQnMEtNlLdTj?
z_c{}v^2nJ*@P?tLCuVkwRhQaR(;Mmk?GkntLI3&|tiqC~TN@ksqQeiPL%^pDf4Cz{
zCVwu>w<F-SKUE+b2ZlDyO-=XUO3?)~m~0O)>`{Db0)haTwq0OE^zr@S;Bc<QpKLZ7
zQrpqj^ru8DF!#{*$khJ`ulcKwXY!U*at{aIJDHUq%4e_<EU;S?4bZ2N^titSyn4_t
z4Q?<-=QllYVAI;%tG>a@_)MxnWy-OUc=!5-ApPX`9a{K+|7WQ66B#ekfH-&jXtw9f
zTt=Hd)mt5V{In|sRG*SLjxuMh-1?#^$b`uIZb_`-&}MhKo5Rcsb%;x}iFb0SJ?pw9
z<d9}E0K_J<B_@)<jl<99){_?QHc;D1cFalHGmb@G4rC&~VPh=zOlhO)c}~B1jr?A&
zB4eX|g5XycV9SeKcv+wIeJ^#j5{$;6w$NbR;6t3aWQABhAGxS9H?_NygI4scU5`^&
zBw@+0IQz92af$WIa3j5SkWt|=<1Rgk|K{p?vJx&~$G|W#6*UsI-y<B`fx&?Rlri0t
zX_buKKT++$<lA_!iQHWoM&C)u38#D$h)eyZ*(0(;plk-7LZv5`_nqw_ugCM{(ZUUg
zJo6X<2qFqY=!gJ>wW@_z8gnRHSm_JcDy;yjg|c&<@~Je$wT{E*5<$Kv8%=dnYIwE-
ziO%}!9SBB5`1@{6%&_xT`!Ov;oD-?2Px~s%zqkak2xNw-V3xpW(Jsy2p_T16ehXsZ
zJ!R5e7DYV#IDXeJ^92EXeFPy1{Api&#HU8mz<Aq3AGB|EqcIqB>}46$B((=biXX-b
zBR=9Zol?~|$XRL)knYibvUDuNeq-b#HdDj;Gt|I&RBniiGf~c3rO^&vk1w|6CvQ!=
z_yeNAryy;UZP|0%h%OaN%yW&lu)z?8E1WJ4K^FPJ)P2)F<W7k7_~ZZxgqL5Oc0n>b
zrSl^so5)iVzV8m~0=WuP;TeS1_$Ww+ytIpSptj`xehiX=npC9`Kb<VY&&(QDT!fya
zpw_h4LhBM(ty;|*jg)Mkwae4uSY^>zmifxP^f47_KK1KzW_Wsn|JM>6z|8*sg`#<#
zRYTB2Pv>dHTu~m4{0*b01A>JQDm|1M-xIDfg6(#A8H94NiZJ0*$0Cg=Q^1bk%2z-l
z0y9V+0Dc5wh}o&BL+~2qdKGyy0fi^osx&+ECPh<t{0dmHOp&j3?!%Mf+?60+_rM@R
z+?EVTri225ULdr|Y-O~YZZV9bM%R28FD=y!q5%nZmj}kl7BxoP5rHq`_ep9#q|r`(
z(~loaSkG}S!&0-KzkI&o3d~^Xfi+Mr%O?)=sn{Z{lP0G!)|VXHiij=<^%-2i6BeP{
z)Xy+td2Hps<RP`AAb*3bAWFFV$xO0-q_Wa%xjDcc&sVK8Q&{l^Pp~OUg1pl|dNVwy
zLh(>tjWF5eQ=+fnxtxsQl)p6_WgI?5QRVV@2J+)fBV0wFuhAyfg*$A73|rNwd;gm&
zR+Ee?#;VVkDcqA!^)az2P*u)hI7N}tURBdDSlmm$tc4a_z=EHJbLinSN0P`sM0Bf%
z^L$pV6broE+x?-+_b)>Q?f(n|;yx|+?vQ!q$!t4ZOJfTkI?DYf2;>i9yq~g;=XdNy
zWQ3vTj<jN;$nv077iA`sM}U1IGUsX_Xp2#gB}>bI6+GhCeh;BlJ}cN!%Rd6AjRf&A
zt<Zps@dExiql|JeN9ANORrk0mpbG3FMgcPt406EEAACM-K!>KG-_XYQ`s$GYA92|`
z4>^R~58$1wFl-p%2c?c6!rJSyEv@ac2w3q?U)2OnUXEawVQG2^`tdq&(}JJ)N|*z?
zlLE2*W*AeF)o`TgvZt;1yn8RBLIXpy3a#&sYByIMrgPcWRH?zU;d`D1F6{hCenU}$
z3(y(Tbg5+MVVe3{UwMDpgfU&M@cd|#b7!hUtfvceO1o}3mS{&aSIzk38k=v+W^}m4
zeD@hhL)9qZ`-*?5<m(@J?#Q*uCm=-^rS4EAEt^uoTY90z!FXqr-1idw>~@5Gi%C##
ztkQcy(2o8Q`-^H~n&dBmbg`nUD0>RYDR$hUh2mBMs|vPy>rCmGH@*doa%)WA7dCM@
zxNUyQ(pj~Xoep5dB{Q~4p72M!W0n-=IL|wj{j+8gpMD!HaZYK9cPQtI*H0rvZK+<k
z2mPngBpz@2y7OrG3CYTri<6`V7LA!TnyZsPjsMb{K=g=KZu^OvAy(##Ez!~BlRS67
z*3r5oV|+S`<aFW@6{L2;5FaH*U+8pq&J?$iU_@0X;;Kqw+6W$ly{Oz*@;nrrknJOn
zbp#r=&u<D%TWxAhs~n3BKe?PTPoJw@kv~1p{~=6=(|WRPAAu95<YEA2Y=(8upJ1SY
zr_IiY1I!dQcN<{5j*|s*+_vkw%2og!dJRX#Ru#&Bf9MSU3P<w^gbYO2Mz9#v@__=#
zb~s(#*f<cRJT3u`cQu;>Sf9OytAc_V@bQg7{_kY*QJWAd;x)pmqt$^0chL_=u_^TA
z7Y{xX$GvgxcuRe9b9;mBwqj|ftUs|-@Pfbbf{<`=Ph_29coV*SDUIvW#w9@RUufQ}
z949Y&cS}zW$-U;V5sVf)r?DSCYJ2q=?%0`t;GUOridJ;f$2M#Pa-Y`O6u^RR8P3-p
z*<y?hghVWK1PJwtZl^&a4>%?KB)Vdit8%aMf{+s25}k3huuKTD(~H;yl)SavB_XPW
z+M*XX_LzFKR>38na`_W-xHHHg5+cCL+c14N?m5Dz!Q=QZOM;Wp;#?-is{dRJk%89}
z0Papd;Lvngyt{DE9)>x=lEI*$;lQiHfDEJ`Fs;VcctYmBEhxhHWF6S$bsQ=-K+D>z
zD*?|8cJF~y_wicb7KJ_j8>!07gk`Sc0q*PMiAKC_`?_ipJ2_Zb5A?H8noFvlPdV>H
z7iC&4$M`*s$A15yR@h|S44)`)x3K4a_fdGTz2~}It|~JD;Z(d4j3QL{)?juPfqff{
zR2kn6u;~BV9Auib%1olO4Irgc%@G2Vf2W0dfai4rTgzAJns{q`7YI9grDmK2-8474
zk4xh(dCeLd*1!9G)=Lb886ajV8K^ia24Cenz^W+>#<)PzruNU~jotRCiN>KWV*|9e
zXDaE7O>X)gzlmZT>xfxwc$pCA{Ky(vbM_yVZV-KQRT8&5neX9z$X<e(?zGHfY-6Vv
zX=R$cVt?Ow{iOuY*JUL(8ha*Ajsq?VYp+<`VcIvkLHQqRa1nM}waYssEJ498q1+Dl
zd31iM-`KKP>ivj4mKwowy5_<Mg)OM#TrDpg4Vc0UhRj?QB6lXIwb6Swg{*VM-SLh!
zQz#1O-`SYA`}uj>h!x(%IG?8G_5u>6x;oi0^>{{x>XDSs1cm<kQTG>~C-ni@7lrBI
ztpZ`e7`!NpuI=yrbQ&Y_o&LGUP5%g3NiUd1Cu^Ezo93-I7nIu(h_r0QMQ<AE3*h`r
z(}L=J;MD>`e}>*swEpF$(L}dVIT<n?DKGbMCRo%?e~T>ee&4Qgo$ZqmG{wLWR2i%Z
zQzYk1G5Sc!I6U3~O|}^iY9Tt}z->x^0|%>g_^OS>hG4vQ=-mkWkKEbJ{;Y)YM`m1w
zh$RYuBx-vCO4e-PtT#3WD#4>y{?RL`ToK=+&vS&|2MDv+^s4dzO6f<#@;(^I@2>-w
z{%nQ5rm5))_}^cHS%7I0d=a3?-vc^xCeKT5D_dM;dDHx|Jc4z39vfAj1Od*E5Co^%
zFgP6cZ+H=H(nWG#%)Ue7J~Hc6%p<LTq>#phL85Q@M?OYD&uIq<Z>8b*SwoCUQeDbI
zT~1Eo{K@S^-#@#8?%*)XAN$+l&VRFGM{{N`D+C^{kG}7o(JH120R;tMUWwk1$K?dw
z+p|_o!(<sjJ%Ry^?Pz`I8)6<QWg$?=Gcq$59sp1+W7@;3BMxLR4^`;bhydaMP*|dY
z*x_%{tc<LzCg4#3@(=a)4OnuTc+XismH{EBKL{vlzn`v*B^MO|OcIdo@rwBdF9HJt
z1HdE(0>jTT;3Ggn!<}-BgC7efgs&_waIg6T`WhG_PPYfY0OebrNvj{&+Ajmp1z2vZ
z0ImkWDdY%4`s+i9zS|x2r*FXaED%-=q3Im`Rr{ww(MKS@Q;d_~7Rlo={&&pKS1Y6$
z)!|yziyC~=l*X^p^Qn?@B5DyK`1vnyL%%*B-XU_5CH%JB#P~&8jWV3G7f1D2^R<R*
zI3G7U$k>JUo<2w^-+MJYg2v-tppcoyd+rmF3CKOIV1Wb^ieO6Ac?hR8;-L_6C|C9<
z3zW@Rfn63@hj(FT(qdATVz|)4U83)!t{xz+l^#;_E@3Lr#D<Hj|CW|;opo1Tbq+>d
zrAyZ7nuWeqFG5?=MErcChLXqnPgq#s@s}3&y6W*SeESI&CW&fA;(EV^Ia&HO5~B-B
z;Y=7BmyJ#-_R~<a?tp)ZDk+5y4=^;m%Xt6t$&);=6|H5BJ5pj^L~wAG?K8LCix-;%
zBb~LK8_szas4tIlI(R!tDn&?VLImZfb^^sS8HD`DB95YX0G)nCvYym#^!)p&P?;XB
z3$+Clk}pSZp=az*b)grix+9!5gziq3)448&-oBpQ>>ST~$>j~MUJbQ>_?JhyW1>yl
zwX*)o%GSdFFC*Zy+B&>H1sQ#AQW$wF6t;j4rgPKY8_VI|FT}4qgs!eGkOuy4rEN(%
z<OPfu--9njYK@~xCeIIG)9X!t9TRT$Cn%;e+t1fB(B6^pyVK}vZ*BC&k-x^+0?x(=
z;9mfq5SR;r-G)f?tZgqWT^d9?sEL66Y2e^BC99^F)d1`&RISgi!AifVxETESBLIp6
ziSIk2w6wHKK=BsO+Xk>2ul{CWvIT$s4oWlUB?FOEJ)(bLKK>g>2E@bRj{a3sv$45!
zMIiqA2Zu^TpL~n>81L%c{KBEUFa7+6t<2FWzHsZ%%c?LOO+7+=S3mdNTePY??81O9
zbdE6wzu6;o^c|hicC0&SgMW>*rq4*7u{rfRmv^u)5SZIEhw?Mk1f7O9ne&m<O^+hy
zeZRiZZEkG-b&UDi!tW>PW}uawCSb$<<hST=m0lOL@Uz5b2e;-+#rEG~TV*u?0r{Zb
z_UudifOs|2v9<IEhRw!L(trnq3eb0t2$r)<@$KcX7PD?CFX%OAHSYBTeM^&jWzcQf
z!LAAD&|!xZ{m*Jb&d!_YWWAqCY7iv0!?Q#_$9*R`D`J1?DwPx)scfA^hOlv@Ub0Ws
z%wivNJ^O7Rp`6$*%^81I@D@AdM@k$_q<YsT0y5X4+`pdh=~p`S>FliYRpf8;XM+^+
zAJmy9hWzy(LRcrVX+GcPehEV6Msw+I%X$BgsPv0{pj|F~6nFEq6tpsV1>=DIALef5
zv?eG1RTdJH9y8CT+5-t^Zv?CmLqTj`b;ns@qzJBC0f#J->jCU0S^Q&?ON0snk16=$
zgH*@x6zV99pXo;;HZG^nr#&714-|WBer#c34Xttv#2-_`ay6j1L$DS@PC9v*4;8Ge
z&69c@o3dEUuEsc&NSK+RIQ-PCbx?f*K4I4bZIb)eps@e76nzIk9C-kfD50f-f&vk@
zgD2Qyw1C>JsHg~t%wNF(E8wdHgpS*rn^N?>O<vH1d(;#D`uh6v@^>QOpagYV8aV$+
z?<xa?EHb`CEC$~!`AE6yc(}SFo>u1pdIJdX?)uBSB4pVc17st|EA65T40}Kru)o~;
z0P>l|m9DT}Ia`2^$OHZpkSMpky&VLsD?l{tFjFx%8gyL)^eBLuCo7Velk>b+lG_G;
zf#CfCE4*&-Z;+6YRr$A)!2;;j!4G~{E!!E6`(T)wlA9@}+?gWEPu-r!ch381w|1wq
zr46H2S9xF~ZHRo=E|f=Un+_UH_T%NeC(I6<$$8`Q_5k!_Evgk34bk3sO(=|ela%tm
zYLZ>k1)KU*{5|Z_&5m1>rqDm`7Bz1x9#T0&ZD+T4$!TDxWq`#;FEJyAqxZp|7b~jx
zUxn8&<BoVq-3_8**C|?$feMCn@!Q=JF(3C%RYvN7#X}SRSjriUQ~jWXUYSbc@wf4#
zNi)q!WRzYh<|EAad?*#=8!cnV5w+KzXxrbkbl6TmI-<6kh{QUF|3u|^AT4Kk!7H~?
zEzpk98UGr2R!yGQjy51jSiu^@1(h|MjgoT7GTHD?;=Y*hgvty)`SG+jodJG#_FNaG
zU^S=98%E0s!eD2%YJ_$!CW;=!(?vXQ<$l4Of}P?dSyVIf%G+K?U1)gQ_M0Tnc%GCC
zg`}BTXH)uR3t7dqeo1ajro)GJKd{`}Ot9a4SUm2+b}c?W4kN%D%EkE}k2S+_Y4nB>
zd+hKMFQaD>gNl6T9;#20h<tOZin2H5nWakXW{u8YsO|Q&8y!fA;1OHmNcbm!9^f@N
zlP&me2yEc)KzP<jj_^YRFeHKVPUcHkWC{KK<z5Z=@&W}?rCxQIsVOi+15GdP`u)_@
z6xh1F2Fw9Yn6iq>Gmr^mUe}Z($y-}n(>0;J5fpp?1EBB04g~_$h(#+vcW`Le31U25
zKmwZYG)pLq3bV<*85`nht*xtxTA0w5Sh-bW_HMfb1M6`}s)o<pDm=6RrMM}gb5Jr1
zTsY|>!+jox%9v%2S3T4cUU|3hamH%RMe`YEBem52ZR0Fu>gNv-m#MQGr-;Y;E1nG=
zfwiur7@Zs*WWlL8l8gEBpUXsY-l~!!rdbD$&vfdBV8jK-<++H_VQ6uPoO`J=rjk|O
zg*0O+b1idL*FvYg1&}l+%q2t@4<XJo*~0z5dFF_B|JDribiUa@u{ti|%X@czR5a|V
zh5~M+b1<jGmcOk7aIV9{Lu%RB7$D{v5j?2?FRHn@xx4#0AY8rxk>NF9J#qDdwbTaC
z-QNzGK1<MYIWPJGydlmXGI4qN0qQuRU*Hk}cg%RtE0xP@TH9yQ4Zb}|)WpbW5itMh
za(ur5y9xlwl7oy?Amm6+PR8jw`GU#a1x0?QE1LN7H{sF6f|-$<`zp(0<dbX>mRw$M
zr=QcORa$H-lyP*K`^uDlpC1w>UB5EP7j`0r(P`l45v=Fmc1szhQ^uh91ymNX=<rT-
zIS3NHKobsGQ(q9F9gw6jdFK=RmCG-AF%`ujcSwzzAMdSrw(;u6vKnkei$g03d_DMa
zbd0)oY(wR;TFgjP8h=F*k*ZLcz5((5&+t_kEX8jKHhwdcU2W;O`0rt4ElEuijP<*i
zoG0CoHlvg8wv3YSpTZZ$cE6>-pT|6DTff9ge~xa3>8BGcW9$#LPH_m|`q&&pB=N&Y
zxT?}SwXIy=8GRgI%@q~WuLbo!C6-B_xVDv8XTg^JrWX1rA<X6TPP6zslz?qK=Fi86
z-D;_7=MSg$gS+42Nb&<{mkgWV00Y~`;+=XB6gm1kedzGQ&si2=qFf8g%U4n<C<k5-
zW>8^F0&@_#u-_DcCMZ(nTKvGtoh{%+byHGUD7WJK$)L{RwR8Zs3~I>dj!<X-)!2TW
zMQ@dX4b;xg4$vM?6L<iM*Yh@SJHPMgDmYQe7U+7h!AIs2b2l3N+-<)pu>tfqUIUFe
zVo)pii|6Ot!guQMR%9y#kfL+_v?<MmQF1@u<Z_QJ8XWhE*=K&h^R@f!wRtmf;IjDp
zc>3Ps&w9Et$LXRXi&KYJf~bLWP!wxoc^IG&6v5aPZN3R)x}%8Y=p*pGRp%@Yku15N
z+}omH#MDrKFQyGE9w!nqDv=>Pr*^D~7zRb3XDslCz1Y>dA9v?p|0%B81{|F|vrEFS
zh_VhB=@*Uu9{MErvv@DzUk2{kuKny<w@fXev!;W%IMO5tguKUSZ57px)?Zd|uBDm1
zLY{UD*iR`QsueJABBvqW6G}{l$}ry;=6gl*R=iUcvAB|bSAq19LRMnC#?!Y0708YA
z!%0opA*-=q-!F@eua@b9Z*;77xA^9J=3Q{dfOiSRoD%Um8yOe~fYksfs$Tc|Ux>Ir
zM-;fs*V+TB31AcQ_P(kCi~%ils!Vgw%~@h}bo2#SV@3r}T0rSvZQ0ib7&QqcF&wWY
zB&Z}`PC)6lxNx@t`kPliGx$dU!u|+Y!ssAhBbu$PR2}a&0{{r)#h@@2KbRQMtd3(3
z?%zxM^fQ|pWldTW_f4IJ=1i+`&aOzrmuar{bQn#h;9f1k()gB-6%YX5RpSTcNHhtU
zf4$j|+9)t~sqn*L6(m2KzV&`e`}mXkkKwurM{CEvJv>6+XH2Mf8z{fhnEay81<-Es
zWYg?L0?k-a9JjthUN@Xz`gV7bc2*0UOK}7!D(~j`e*Hsx$u@1c2OpQQy1s@cs~fPJ
zDp#N78_3W~`}>I2jUir5P3;tTeOUFXItV;~5FR|XE07ED`oQuaa<j9ulagw{x${Oj
zqp+yxl>rAH19*%p%dP&J8XDlO;Bs4+a{qBMmfsCvfM36UwQrXba*p}R?KlHg>n0%D
z7d&d)ocC|2p^Gkr-Q)mal}4=q)cHobq>v5OiVlALis*r*o~_Kf(uzrZ$!!Qh=LD-|
ztasDDxAo9By-~_g6Ced;*bej-Q}SU=e9q}M7*C9zzI(ZN?4m-VTBN|DFmLW7E+Ka$
zZ2wT$vJ&pky_c|MLLf1VEx>ml=}9~{hM&SX6PZSYmGo_l7gk2Mn|-UWPmP!HU=@j`
zDGsGb|9uD-_oACxPL-+q4YJX9FJSW5eusD4sE3??4DF3EjUgj-P^S8xn6tRUj(;pq
zfqT>9$8%~qwCSV$`@$cg;VQ5JouNKdZGpO#7=Fkr7FKOCjUuNrGe1_Yd3GS*u$;Qe
zM}%+}>a72~b$?q<76$-XNhB_kd>)oxM<N;xSFv4Xfm@Iwln9l+W3mkDUahkmWc(bo
zOF%Ajgz(4j8OW4Nin`v)F;fXhA;?<vH6CCDwUf}yxEG<ILhoWS#<f!>E=V>Cs_{)E
z_OyC@?}I`wYQzZhX|XaUrKCT$x^a6UO_x#Gzgn!rYFbdS{_c=v90WDGUi(dhO%f5~
zbD!(A`r8StAA+eKV&qg$*z4{ZahPiV;;+`6N}I<HMvj_%ICMW8kVN=J_pF<dcWnqC
zhj@iBJXyStK;OW4_^|Qs&HGGp|IJ};yLCzF$l5dl9)n8*SO=L)F#`SI?)soU0Wo2U
zsAF2GY~+PdC0U%<9I-2E%GWpMOC)PYAM!C&ORS!674+zz2tBE0-+{+-#j89&pS3yT
z8_KoiLw2aHY7(E6FV1Oboj78jQEnXivNM;e#psu@SA9b~cgOe;m$XTuYMbe#nFkSW
zzqhc+WWy>A?d(#1W8?F?aTAjcY5OMdb5kuODp1{vqv<S+bwhjUU~vT@5XPd6g%*aJ
z{#tgn(4&OLP9-hw6l$$M;XJ2V7Xjv_1L2md5Ne4K-t!M<geNI4Z@r)nF(YTG_$BKF
z?ryyr0p5m~k3<o{U0g@q2Xqv7PWLGU0v@yeK`bBqdzi%pj8$y8Jelym4qfBIEVS&{
zp(TeOL%y*}?<g_4e&JjCdN8wI#v>CIucfq~E1gU%r43Pzz2#@cackPdCeRQkFU@52
z;zjjwK|l~zf%*39J-mhdl&u;QER+C^F5WTO0}o*{5jo~<s$L`&Or0(B+>gA!gTlWA
zSecJQE0fM1r^!#Aga`9+eIn%G$k_fA&6z)4sp|@FLd8RoM*bVK+W9HjB%p0O5bAkM
zgV;<yY;`S2hDK;n+duHLnbb`Tm6HZG`HRs@v8YacIT9L~5FdEfV9*G<T2R})B3WMr
z6TMb8HlPxGP5%N@E6`#{fC*F#2RM3fz}N=F?6n3ycq2KF{{7nuDoJ!Qp?{!<0nzQh
zL79ka9AkF5JFY5p29pAD!pzJZ0EROFnx<x8U;vH{0ALpay!L^CfvWPVe=^`Gw;Q9N
zr7Z$88_=YmfJ1+?9-KfpczCJF$!Zb7Me+ZA-~~J3Od=2G3;iq9QJ%4nXTygqtfS9Q
z`8k(9?V>;2e`7D#drfd(HqcOpSNLlDCcc$Ji0FTVnp-4mWwAhj+4Z<!{#P~GG!6G}
zal4m(nphM%!Bk&^?VLX4;~M|w9RqtpWAa-sRj+UrIsvwDf3fBu;s}*4^011|vx3F^
z?*tOb6`FJs_<rw$%|b&fb@uaiszN^T--;E10Mq5t0c50QSN-CiBsNdZ4zfr*NkNAN
zx|@{mO49hWzLpBOWHH*?EK0c4ljM(^Go<e}0<PWeJm*>>HQYm($pXGi@Nz<})C9TD
za&D=Vqt~tV5gP94?)%LLpguU<YqXY7_%dNyd7Rz1ydQ;XN^dxw?k68xSJ>)s37syU
z*O+w66ylOq6oGQaj>K_`r_q4g&L5+;*u^w)B4}cxL(alC`t~NCT<|5O4R(KUkBTH}
zYTmUov^$;k9BS{|Wo;$GshL=w%}%!-E8AIJ2RYE-0qevGn05dmCzx)4`&Y<*g2r+f
zgz^DduzAd@_ICxyjlo=yz;Ze0;Ry7h#vmO|=<J~f-&Dw9suVPiudAiszkh>1_xtWQ
z4jW+M0iUmFgEJ}kRvZFXKF2m7*z$pT3mF-CXZWiJh@b-{EdT$$6@j;FQTFz){l^2?
zSf%9Vnu2PqKYMR)4-rx%6ecJgz>Db^lM@8z_nH|(NB+28Y#UbO=)yUFo0vnNiHDdJ
z1e%@AmvCbCc6w`Q0x}fkM!znh?BI`?u%$|zE!|f9YBBoWb7TGFt=@CJ74Il`qc*6G
z<S3#fO*r<Mv(psgC_Yr63RuuEQ0!(CQx$fp%Y687KzX26@gZc}lYU?GMPuiDf#mI|
z_zg^Y4|@c8d;n>#8`u7A*A{`)-yZh?)qLCD^=$>LfkvVPGM~-w;USpYQ#qkQ?Xe=m
z)lxp)Uk{GsNub!nNg-qP?(WXcv1U7sXUddIpN+~2FP1x@wzSrtPX*RK{B(CWMa*9|
z^)o(0HLedZW6o*bR?#88M^w1-q`((rE<}u{mZZZUt0S%*Y4pID=qabJ1~2P8fa$mS
zo>??$=;&PU7R0rIH6kXY2vp9k6Hray8+(p}sX$6rR#tBA3MjFFuHqP=n@yDD<@vo2
z^#EGob=3f*p3({-aV{X3Vm+E|xyDwtK<0~4Ib$@pQV1I>D`+XNLEA!A|KyH$3kGw*
zaK8u8e}RY9eMT7wO7$?H8L{a)W5<ygDJdek54o%7a`}Xg@vkLXza^_>ms~N*;K?uH
zhxg^5;kX}t>Q1^=NP=YLl-Y1PR#4itaRg--l|#mtM^<*S4N=4{)H|>fl?yE%=stli
z)sTe4+W84hoYACG-pnt|=Y8Ck9q{v9vzB5p#~P~6H`d2j&v}A$E@<pJhQGtmB+Kb{
z1wFFxSmM$1n|q~yDD|ll6R^Ceuj<GYGPD`}yM_MYSP9b8Hbxw~P?AARYU{_n>`TZt
zrtnJ`CgWRdD`}T4ye%@jiITIgTVMVyDY*3#;NT4zGL-1vMW431%Fpd7?|6iFEs;Kv
z%H&Db=lEq4kbHg^O=)nuBCL}%uH<Cegnk#lS#`5-wKrys2sgdLee9DU`cwbLVl!@e
zNI&#a=Em2U_Y)W1)2|a;<8Q$S14m5ieDj1~4Ld8hDlg?$STgiV=_nASm=Af_Q<P#c
zPEfIke*5NHE;IVLF*IX4e6tVQ(o6HE_);lflkvfPR2IJFYT#xDFKCCzl6;^P-}tR&
ztFEdI?g3L<Et{rQM_biUSdCxC0Vhpi+cL#n7O!#a;53r9F6U+Ijr+4#PBCI2jv?I<
zdvUjkzZU$#wL29S2WUP)GiwQIZqFhx+z0M($K{s0&$zA(+`Z{wGL+>tqYuvY-t<@3
zr7Tz#fExjk4aBUxihRj9t@;7qyGZmI{7t>%tV+W2khV77(Anz<0_;e(L>?m^A0J;c
zAUZ-Isbyluh@<{<^smB)=^b9&|E7#$xmWxkK;qXtkj~Lf<KYWOIy0wfxic57#h3P$
zwjKWxy5z}z3ePO`CL0G`+K^dLb6SCY?0ZRkR*Y59{J3G2<>xxCU$VO&#rodZU9u~!
z+Gox+894=>^L*-iKhDJ8*56r58do!z;L9@yVUPE@(R1f)lFN|}l1!8Dr>~#covH3O
zZ!uS#F3Zi*5^7y!lj7N!sYn)-coy(z@vDLgO&03smgN(jAX}ldi2)z`(E>VVRwwj?
zMPfMe`E;!L&v+B=KYUNg{Xsiqa#>E%%5)XIF%@4fu?*{<gN5xiEe(fOJ`)BFRFi&v
zI3M>qjxOp?p(*}ND_qepM{rl9+}V#`RGWAOP5XO!Zr>ce6a5@hn`ru%4_>`nYTfm3
zl*;+U!Dn8<YpK&e@6LDDn?F&PKop)+-O`v_9o4!FK*z;L!<crMQ)3q*3usZru(zk-
zBO3Y0+*|DXb^DPg?hSK|M;>M3wL%&1QX)pDu;@S777h?YN|Q_l-ae8FP0O2JI&27c
z-H!+1eEFW;%Y6cI<3_D?=J!P=dvq!C&%5cL#}|=#0`syV`$!U_P;y6zQ5d9Nx2XK}
z@2*We-_&M%(YGYBVu0Z%7;u6_2oj-xWGb(m#l*x!Ks2`k5(nT|3P%SnJ5Y}NHd+L_
zanP9oO!|0-;P141VE?SCsR6?*PGBfdFOV51@3NrY1(Qj0^EJ@4=R<u1c_5(e3kE_z
zfYL?~MWtGk$Q6U)CK7@(fr8sUi-zfckT{Dt#e`a!C=?|YD(kjHLaC$b*yX&%dyjcv
zqaH!90~M0V%S{?bK*M+5cIq%Wj_S84t`>^((%Zc>&~ZSPb+S82rU+4kc)pl~kkBA>
zJTMLQp%=sa0%qx(gsYEf9Bub+e^jQ23Ul{gWah_Y*C#4*Cnf{#+T0_IaM>zhNnYY{
zMg|b}XA!218wRL`OnK2TC}kfKYBg*kh3;U;##ERnL8FhagkUgpOU;Q!&KV-ciN9<C
z!{=`GRp2}F34@-K12(}Hnq)GqnWup9CQ~nWT~uQ-bY`sV{DFNpZ4rGiTL3aC@#QMt
zKLsrc{8js3r?R^&dbN029`WiQL=``14#dxD-W)}R7iK_4#cz79u2SdD&<l{jX;2JM
zKFuLRGa5RPg25h0Pj&?UAdtjB)$1AyrcpV7BPwJhl!g2Rn4!78>!0K(?twWH2z%>6
z-ZEIG7%ty|X@?2GA%S%rZEO?xP<Wl@FM;ebUOSu5?He<A?|)+A--AuI2+$}1z5Xr0
z)f-ou2zMLp0(S`?7?%LOxAXPk99a3qI;H%t^z)nO-wQdjjMae0`H|1XM3|^Fc7`v3
z$Lhq~8@etnf`*uCA#Z{TxwK;@RZYDJTaS@HpHgSj$CQ@o&+2!l9(p$6HY&8E=N@Az
zUxE@N=*b%-%Nl~=GG0T_)n%Rm-KVAzE)f7-mpUObydVx&d!daigL9D3;dfY_<6-!w
z2%VXo{f}-Ca;I>*5DX~;&Oa;v{bocZ!BI-=5m-2M!7kyH?1FAm+o*&AguDcvVuX*_
zX^Uj;k{ulKV=SiuyE&x=X=uB+8h`(S3C}Hvegj+GBLGMMr4cnhkErO&5L>$t;BqJ^
zDuP|+14yp{!6`XpYfvp5Z-j-PfC=<d)mR{?xn2XMcBz;lm**-?+c!5i!QhbFd9ks!
z*0VpJ5*VI|-`d1fI7s(sptNvogBRhon*I|qYPtHF4*+H%7hqoXic|Vwpt5}SpE}Bc
zYn`^E@0W1%PH5VgN4#qU#X%SXB~8C2`DK@vstR886l9zu&WM8Z1svg4UI$#<3Hz}@
zaV0u)-?+oRT^#qv?=gZ-`wU}d))MhM2i%^Q_#rrI?8#FcI~Fl_M3NLz{3%|4R%iUv
zJLKo@^4SE)31X*bzK-&5CP&bCtCiD<VP->QH{FFHf&^6}s!rA1%mC}ukQSZTVZ-Wp
zFE>OCcSyNe$Mhx?XOBeoX^JwkpB?Ph0?emUi2f~mo>+qEKZT^wJP?Dl;z_Qm>e*MJ
z?gPc({rOQS3~AD)?ce8r>UAs~dUTDA%1eqtUi?kzd2E8<Ymr>>d}f`$0_@>HfRVxD
zM1=VX_=Q`5YZ4get`25hK!XFmfMD#G!RKZn#W(`~7#Nsq4-N*Td@xV~F*d@M!>=4l
zO3BDq4j9<|y>4nog)W9avtl(CqMk6*)BB!w!h_^6vl#xXsn=PeAJB4u+FDGf?wiGL
zh!^lfPzl)00N4dIUMV1?=nGLwT3Q2mlfbyWW4jy^>JiB1MV#hqH~J_|wYN?;$X{;3
zcL6wWR1T$S<HeN45FkY&Dt?NtgMK?vjs$L2964Z-64fGfZUmu8FyylEM=6Oup)bLG
zi=u9m+@e-f&-A#4Lzt2`Mv5{DoV~j*NgLO5b5aBUVAC<4uTMYZ3G0RA9|<Ei;Ur7u
zvFgZEUA~S*eYh=%@TvRiQpUXJk4et)86l~%L7tI*@`M6tq#^kM$UPFjx!e#*dUJ=I
zpcF)|XY-yUoW<g~a&A7bsw=|72x|@AKF~suHPc8|n3Lui8}O!gD`N;`h{GevLNi>t
zM@=+tu%g44FEdm_7_54I4k{%KbtbyMi!%93eYNOOF26hAxcI@lZxPi^Hm2|<wp0M`
z9tKLC8s-*Y%QFEUB^DqqWqw@;p2TNnF62wXTfWvPy|JXkzQUnNkZgffy#LuxkwQ{R
zlVn?7?s^7Ix#ED#z0CB{4K!y%Z<vZ0Oa9~0iEK&-0w}cvNc*T=Gdk=pV%uv5`VIB|
zK(nckONj^>cPt*W3}}RO8NHpEupcy#Kk7&XHXvFva&cJ7IPU{wMPZke!xg&(9>Prs
zNt?bSyLb}?HJzex8%<=UL8Dpn&nu7lhRByl!Vsyg#mh_W{0WQqlMk%lAB7V^D@m-C
zJlBUNPY9v$KE4Qp&{k>sA`G($H^|mCRRV6SFY@WPV}U|h^rsc^t}6*X`wik^T?nmi
ztDSK7Rs*t^IG!Yw0tm72vb}v6A({i2MwSTKnVZtj>ak26U~QpYu7mgolRNA~TVvxt
zg2~DifC`;pO?BTMHGLSDZ3e*;VJ=r{Iyy7pj0ZbJndb+PRbgvm)2k5$gH<Xp_K5}h
zljKnx(pejsne&a40nO(uT;mGO_#Yb={uR>=L=e&k)~0&%iH;dOrH2~=AMYOj`r{=x
zTVy3A^&l7?nU4qG?R|c%p52_2-Q@43V@CW;<h=Waa5^o-&**)L#qrNY5#f7yp&LE(
zPt)vPHml12mkSWF=&b6WU9i%%K-uFMl@qfz7isuHegCeUtO`TQ(m7&rq&a8e9GB3)
z>6e8z*)4sBLUJkF*uB#L=7T?+j5i$Z*P0N~jTA{lOfzeQDzp~TJU!{LX_=<y9#U_k
z_qZET4^7G~s(cVRAFkgsy~U;`^_SAMR?zPvND_?I7z`Ch`zl!C`_4`Oya8znhAaHA
zI`iR;Z!Y?SglO2L>{%Tw(z1p~=mk+5t62TnpnkY>_)tdkR3Y-3ryGI7W8si57wkMC
z1%3|{z1^NqQ+rzPW_w@tyN~-=NAwMnp_8-X7I_k~SZIP-TEDYbCr8rH?cJ1M+t`1J
znGlvA;lzDknH85YytEjXYW_ZoP&<TQO~C2^-&QfsF+l>03S~-aQAMlfRf-7}0MqJc
z?Ab>eXu$xeJ3gRX`l%qy=`_!kxC};BaO=aE?T(Fa+3v|z%L^|&{c%<t8}Qm#$-g{j
zroj8g44aru=XYr)Z1G3v9o!<|=j@G?SYEi!9Eb%ceaWVIkG2Fw-bETBD&eC-H7dEy
z&fl2?k<T4YvPr>^pcG~uQ+DuaSE!GSl-rN(TQmh9h75~|;y{qV0=9hpO)AfFX*l?t
zMw5OKTEFKkA9YKv#X8(&(5$?`apsv1j(L;W$!DlXA?{;y_SG%|0%h+{0O3e~?B-vi
zV>M0PnaCxzRhbVM{ePEDiVG~=IT>{JIWH_@(=yWG_SxSAj#K1U|EUqv#8=~ywN!FB
z&}M392*Jy7zv>+MfMSJ_Xq9POOJrl*=!DC1_7L6SWXQ+~rI~g%{14N0%RtBE{fV6k
zns>vSG)q<24}a`i*h)R}lSDmnQ#BDa{_I%=kz67YJ{7FX;&IMju>CzvP0M1*IH)@^
z+JqmOrB6)ATO<9IC%@vmJkMz)6nz)JL-MT%m%nsDm*DO@+Da*Q>~VagFvZ3@HG~{e
z;$@zMzbM;BnNlyit#Z-Lk<j58*+?AkxG(H&TPD$B9rR&ra@BD^)KW^c`~7>PUt-_h
zg)3IZ*azcc8=(T<qI$LY0fXzG-rz8w;VLn=!&IJlIM_rz0n6ko-WQZxN6&`<89=9$
zt_EZ%z=;b2B%eVu6$?}P3IS`s?O|It9L)$JqUq2T1*)x^hn1IQ0!=WG0}ITo-F=#P
zh>o@a&4CYXKld+pKcW<#7Gv)#{nWd<F6W}LP5k)1IlDQWEY#u$Yi+lz8R_Nc@tWi1
zb9QMS%7~wkk>Uot##Vp(`TxpitLjIi5=$iU8rD2sj*y8r_-w9Ul}ybzp`0#dkCFPa
z4_f&v>UWd}Ryx?OqCy>g{gWfH<(i*h^~~UTZSf;{E8AA5@M0+*$1rCt><MnNq`Km2
zT-5KEtc~9}+2sXIhh4BAa#}!rzV8N3ij;CW!8|3hkSQeR#9-xHBOgf>63u^%Qj!VF
zi9=zj@+t)_gNrcAq{3Se?F3KZT!N2(Tv~`GDtp<Pa(yc~wr{_kGuzD#2RK~eSFqU`
zsiXeZm2;{LpRba&%h7lWjGdDhk{oDwf`E#wTdG!lGm6HVgo15;VMN4sszujaEZc|G
z@N3y?)N7o`Z(#EaM-s1Wdq!$lk>rt7W*hB1Uo8%SrFY!fge?IES9NWB?{s_D_oI5Z
z`nmy>W;nv5uP?E!b_^(L$8J!EizqlsTs_|<kt<O-NbPM;@xn&0<flS?SV@TeRQUR0
z+zMehdWVOx<ErfC<d@9r?;tiqKaVS@EYnARG5N__9Yx~uOH;xhjQ}#C4pO@B<6K`u
zN?Ue89R9np0M%PD<D~7s7Iky{rNO#|j+h*p@ogd6xJI=X5~Yt&<Wa+zV<W1L&mZgW
z6}whn1KAW64T0ebm3Q%UTGtfBKKTQg;%lI(O7=Hub3p(4qw*5|N1ml)#jWoZj{^eM
zqQPA7Kb^dkE?p=Lg!6rFrLwwKKpt%l4ZU4xRMmoHPODsB+k8$K;rvbmrG2WDkuX&K
zzQwk=^{O=evWHxakZ8tkLM_HbFR~#bR!IV07I{j)GCom)dyMT2U!ncjLRI?@$`2lB
z{*`YYAPTWJOl?uc)31N){+{hjHXchzH<9%g)l3L3xJ|jys^4WW{S0{mO<5<xWucaN
zyN)cxfMz3Ei!#s!V~jcf3F<c@(Hr}M%Hn$uRTl}SORq~gJo3%uUt(xDMnCi7);9(<
z*gy9SvTGxI5$4J+5>@8i;5n`u3viXAJ6xb2>6?oBxeUv!SJPsc3*?cQ>kT2T4^K|^
zkJB-eB4ODjU21fQ45DqkF*C8Eyn)fNxl`dVdPAs_W8FdU)?#>S*K|=%(Gga;jUvf1
z)-|l3qoSmRov<HPY{MMJpn$@Tc2k1wt&V>U+md%HP3}&%;H05#V@V>%IFvjkXBa=}
zr84wq2>$HAX&q6dd%@k1<nvS)Q8vF1QN3f#kt!N9nc+t<?%&tTc<uPtJz7diqVqoz
z{8X_f|5(q@+W<vSvQbcc^IX-2#TJ$r#j%A0>%94qWunyrqtJRoMLWPj7jG=<m@nc`
zyz5_0#Iu(+K6LP3?%B<q9Z<XG>DSo2>ds$-SHr@>Knnsyn!qQ1R+MJq2Z%aETz0O2
zumzMQf&jgG+<dYO!W5i9x+)0x19^SbpB=OdT+fkCE5WWkkya6er*MP%R+b!=p#aPZ
z->lAf(fXekII?~f+*K=0I=e;iZ-&O_<5a?Qf${wNrKcWcG6xoJMdzA@a=$~dK1#9D
z<Pk#*kFmex=%d)S$Nj@k|8ImFhlKO#ZCxL&82Rim<xt``yCd}n%*xB1HbO$vdQ(nH
z*HSOj(J(^q?kf5OTf>6SsXP;!Mj!BU#gzg{J6}H1{V8`KGPU9>BQCXge=RGx+IlgG
zlbbI%kH2%>@Wyi+ZlxfAQoLJr$0kZc7>1kl)6JX_)-{cMu0-EM08eU2fr#)r^}Lj&
z{JgY>UhZMj(<gV@i!K&6fqQ`g8{0<g|3lSV0A;y_?ZR}YNOyNB-QC^N-AGG!iP9n6
zjdV!2G}7HjcPfql;`{db=NxCxp4oc<XLz1>t^2+b{<<YucG+{2Wy#X3^v4*-fbf^S
z;`U#7Gb=1pCzx{)X-GL^x*3@^hnPa4g>i9M;x9E{$WmZ8u#X$j^fxNo4ZMULQXju8
z_nfbi_;I#C>pxO_cS!$>V?Z!rX_i3$nCUX=e9C;!e{pGS6hVP&%)q0ya)CM;J=frb
zeVfC09*RPsQCsv}V1+(zDRzeKjU$3~th2)`Etz$m+*B#DrDWf$D+rw2LM!t<O4Q5c
z)|Dam_nQR$@EK@n=W(n&S_Z!xp}&_K{B}{Ac_#-)<0c~aRBoDQ)a+ye(3=V1^MBRI
z3=lf%*P2R#efH~@FF^bI!)hWMNZmZZ&I@!BKwsgu^8ykis=y^Sp2-XHm<)GDK;Du?
z)bP-dC!nmA_)!mey7qZwVeiBv(AEIiFpvr$A9s*Ra9IXkJ@DSK>isw=0J%;_->ak8
zfw}w`kpGsJdtk=}Py!t(FOU!eCchcP8LqCbhQOoGgQXcTU4YI8IL7{~EMt&WZgU65
zBQ=S|JdPqYgzCvP-t0YgGa;e@3|;!s*|EcWgMJsmn$>txp-E&B?<nzMc%+<AjK~V(
z8AVf<Hkc^ZFnkY(Sf8%F8lw+M#9z6K-)DNfY{u+%#5Xzw?}y4Vz*RjCRcdErqw^8p
z?I1BOODfa)O%1<cpp<FPv4`k^oLz(2QBCR6+>C?>m6FJm`UPvHPe$B|#+$iX-*^}+
z5)I)dmNz&&UOj;vFl&A9t4icXLxWsmf{CG`DDr7)n6Z+FikNQP!ZFXQ2Nv5WKFURb
zTdv;nP(=?d60-2~*7_byYDqduduPG5YROExGA@mTpOC4nQ;|b(H3_*(yci>?EGu&;
zeRc>A>e-Gm@vL5Kn^dbnY9@+Uon^0;$+$yD@)Jev-_IKCcT`TCN@zby%+x$KVrb4n
ze|Pvia6C-Are(^Sv&1R&zOkwq7TZHA4`Job-rqDUxCyb9sZzMmi$VTH4`0{_|48G=
zw{2j)t0UOxL3_I&EXQ~FWtY+flk+Bkm>#JoUr{>jZxm-F{kz4=AISNHY2WWO@bv)+
zQC3z4o|-|sr!!E4fa7F(W`;6B7oZ&gOL_)ai91-<0qr=D3dl;C@V_oPAT1Rr(PIG7
z2wp2oE31hd;VvXw?_lQyqzk}bJOE$>7;FAailg%i)d3L~NDw^VIR85L+KB)t4IB^)
z47kr0*U@9L*DOMSNr7Ov;40uE24@w3ToeHa04~E6|F{MuL=EW0_$d-jYt9LpH@H8D
z65+`LLc6DvSH4aLEMk(ss}ij?CYJChL1rL_T83u+ccsKKA){(Ep?7vAh3MlZ{@8K0
zsuZ~N@z6B)gVYuM$Bd7{p?I^A*s-K!QV1S)XwxjB)jmf0Mf-8~u~#zIKlPnSax2gj
zv0&+(IXZMxzO1BLyPk^4!Bi!atr2l5^}wl+1!M_S^eN2pA-=bVH^|v7xVmDXiM&O1
z(H`K<$6e~Gq@RA|vo6eH8&Ch~GwK<wVEkB@sq?LFYCb}2H=5loDWX-CF|>YDuZ(Pa
z$+^%-FqWd$f73pY`Oo++7;uv5+uJT}^tx$J%2?{yQdj3Oitf%jh!7^)xTOEpm=T8E
z>s;~f;nq-GW8LFOE0dNwgbrvj${~tQIngIoLQGSJJdzx%3AUHM@55~VV3;!Y#|UwC
z+dxWOBwVahc}maC4{|}iZmwGoQYR$tAsox90T=eljX{D{Oh2JL*?0%a0ftJ|Oc{ye
zM<pzw1H}!(+63fA@9&Eqi0xw(KhF5@ULy7e!OJ*Cf}J?aFn!6pmau_vWdkwa+L9nM
z^Y$9>yc-%g{Hf{b%T@)i<airEKH&e1!2qiaP=5av{<rztP3<auUZ21AW@8}A6o~o+
zQ>0y7TweQ0040rQ2I5KCfR7R+mJ}BjzIHigf%60izDB?w!8*`S{Yt$R7E%EO>HYib
z^6yo)fF*f#ErY)sSQdOixygc2!1G8lV|DZIFU<kQP{JCMQaoO+Zo7j11oc;C6VtZi
z=*11e>a(O{{IId--ksFX+6ND?yO7dYbmq|Wj02+8^OSSs&K*oY$t+-!CTi*Nmh?7j
zm9r`H&TGd}#<GHnijWBk?hwnWj9K@snu)4iWlfAWx6R;7hz`-aP>J#XI0o5Fxb<V4
zkR>$5)_>&){q`WUosSAjJR7Mds!a5&pw8r=4Q&any|ME1B8&oLhqIGTg|-4F#RO%V
zITYnc9ql;_8B6!KG3B(Yg_&+70EvXo&qqtVODJ8UU8xQ+KYT|(9oBOAk#Jkl*HXTa
z*YwmeEzZaQOPV)2IGI;AzGpdT=aYYYXaAb5T%g-o43R;m<XG$OaqTfAj=lDRa{&X9
z3IC+@A49Z;H-&VCFi1jfaJrE?6!}Hqtg80+i2f?2yUQF^hawii-|_CDd-GU8QGBD9
zT6d+y_EI-0V`d2-j^~@W&9^<=OM0hgrc=LvO4qBCo_}%PwvZhPIE&y+GmF(gusdQM
z2LIqnl@OV$e`J~VI8=aKr@IJy_Ti-J;xbccbBjHPX5O4t*N3+A(9tDvd?@hc>TEu#
z8x2P%eF5nuudFxt15)e30CWhnX&pdU1)M07g)J_3Ab`0G$RhwS-qzgg348@v{FJR-
z=fX;SkT1aH1ID5Z_C0V>x+&au0!;<TzvZR)A`HMnu#)Yx=78&x8-T-o=zc#&KsvNE
ziOph-iIS3%6kL2%IymgWPZtC)*y~RMHXCrqf~dFc8)w9)ZqdhI4CiiPiL_<!-V3LS
z(ThRhlzttg`sKpKlfjrVCpzJQI&teA#fUA#XVWPxdVOeqj&8kJ$am2sli-9_hKaCc
zjDG9m89x+C`+f!{lEa)hIKt;ln28gr@fPj`(`|_6{-+~b?2G8U5-E4;0<OO2I41FU
zMvQOX^JVCiaPBG#wX4S<{FuH-0B_ruMXw{GbWyWu9-o&P5o)_FH_K_-HAsywhk<Y5
zzUk(qjV^m)7i=Quj0`*`Kg9Rn*3INWqJFJU@+#=J!V}OCs>zJ?<ulj2ro=KEa_&xv
z%S;_RaGKC!V~CKxmQ%#yPT_?UyWZ_6DQPH5FnJq!AMvavn_d0Y)yZM2#*lm++bH}~
zH9oHw;jU>eh_v{jMkaGnum!L9@T6BNr1MPMj+h(&A*GWiH){j4a4S8^fA<e<i$QhN
zddWkz6IQ6<?P(lhN~jJV&CEi964BPSsmKP!@0MIUh(o43>39;DuLstU3t1lymO7dC
z`scNXCu*%fL5Uiz;o7DPI2jhI{=gq)gpV#Ga}u9)ttdAa6yF4y^Pp?>Win43@a&*Z
zf)8X>f~+=ym%D9ze0;@pj>Ea{DN#n_6B9s#F#+;S)YQ~iI&P*xfMC_pcP}WXX~YY3
zfeR5sLql+%Wqa-64@zePI;JlIozUzI2(e$eF+wH5KeHr)zOJC9IeU0wf_q>rlQ&WR
z922yxpI#1<k_!3W0X+vUvo43zrbwa)R5B!Sq03B#`&T899lgi@&KsGVwkjoE`;1Gu
ztJ5nD^$g{+@NJCHjotFq@xh?Qon8K=yn{f1=b0Qt;@lzoX&GaIRj!3?r~rE6d>$cf
z-VL?-Z`jt$l~@93Uu5@Dl)@z1Z)8JnQPEQpic>?5x+}99evL*shaak>3gU-);no+P
zwRKQ3p`=p>p-!t{HY128Ku0@lv>&j155b0nF;J&5vQpW;sL;46(kDuY&q*3w*VwEw
zC7z8ZPH4BkfkB!is7GzV*13E)Vc3urCV+4-*Kf#wVh-DDnKG6#dD&CZz)6K4YX^_u
zTO--+CsAhP$z_xF!I)OhbHzsxc2}IgWN~3wMgur_;DbD|>{`v8AzKWQyh$~)$;x+T
zm!=IQg&zoapiizPX?twyJ9>T~e({?Bbv3yu+-pta_kDM3Lu}Uib55o+zLb>_<C&wp
zhM}$Ivlr4R{|G+U(I%7<<)ps>hM2kcLI8E5P<)N?0$dhJtX@|~>~E5DN(nNQvH2cu
zOc_C$IK=hM&S7jl81JvFC6Nn$al``&ZtsL?rmez^W8$bV!}m8Of-c#NMF-k1_*8h=
z{OAP?CM91!`;dfA-T`6%PCuA^>{k!?YXHHp3H}GyfWZAuB50>{-ZA|M{5r9qvu<)j
z*!b1K_o`I~MkoTa*Ei_>IKogoo+zMaL!Vw<bigs<?5j#e(g`Lo>@Y(V{CDQSTm^i9
zpfp+ms6OeMs~1`Z<>V*>SdXV0SF81zR(GHCkfT=?H)43#jd{JFT6|nQ2Y+7i-AFhG
z<#_#Sy&C!3&GYoB*FCe1tKyAU7iv@V_jylG`{&i;htBM+{u<y_6HZmh`ed4Yn1Xiu
z<VFokBHV-{)2^_qvL&F%EvSTFXw^I0bMhn+nL;0gMH@`Bu-j>S<hkBEOCwm~Q;tK^
z+bH_;k9(LlED+tqlWn@A>?BSIV%|KRa*((jf4Dr>S5{OBR3l`OG*c@Uj1Z$F5?lJ5
z(`)5dwEShTr9vKlH+!a_V0^zjxWbp~p<7-AwqDtayc%h+1|c;naUrkTlT!Fnz0)G~
zn-^jE-<tXn+O+N54}HuRT(Gh<2grh0obFYQd|w5Q__n>t?1R1k7WwT~GhyZ3oFFJL
zSG8TLZ%NQQrq0EOvhZYCkw9399VVH_5mZ4aa*Rw^MLC={?>KVHIH88lJ!1J$BA--e
z;jh8?<b@uQ8`JW)9pHua?58LYqcg&NAhd_i;}fwo(w*lif>m_j36%*MOJhZ3`$KP{
zX~nVW@Zd3tb|Yi-7be>Gd%LANB29!*{9!cwCDIFmwnZy#YqhPw)ez-(?P?ZKW4ctg
zdviFW?B=e7l3;%E=?~@qS~@b`?f&IIJHV3X<zBzr0ZAUqAgy!*ILfaUe*gXrlG^t7
z_C5jKAQ;D2QD4FdKYpIXdrf!ReL4~buUyX44(&iHkQH|UlQPR3a6Aw4?q`}s;j<YB
zCPZHV*~ePF)dT<!9)N#BqG|{Hu!G4Sy!W7`9DM0?7Pf)%rg`_c@T%dBB(}HV98ojY
zP(Sh6Cl^E=he4=3R&IgbqlmzxAb)>~=A3t@X+q(BrS#PnbVl&Rt-J>C<G-=QgW`Uo
z6%Q2~-8ao>9}mAp@clVm8lni#kFZW};IIbY;(p~(#T7K;EIaP|@|lDiMp4rxFbqO?
zl~lTi62_K@4*g&?-?_||h&)WHGk6MKEd>_of_#(it|v{NGUpaH8M*|b;aE<DH4o3i
zQhGLYZ6_jBXIZ`Kn#TG=9OXP&<CSya%5I!@CPp9Ynb#&@`}qBz?(*{~%oG6j3c5PW
zbmaKKiUBSIK$Qc9%`D&&0mawrYqFu9DS>l$xjhJe$MaPNk3cSmK*dINvew3ZH3$mY
zsyAeZMn}Is)jDnU0uJnmTUy{0;QbWsx8K?CVf*8|cAd#3(&?U^Z^zVBq>^d(Fiwtx
z%F2nBhHfTqBgM_~Gw3)<_!-{1u?C9hApT5uIz?0#Ug(7mb(0PqM1H|Rd@)?1kx8Hm
ziq5DWo-WNn*-R0;BtfdG6|uq(HLWC0R7j#I7W~4tAU?l!T(@XkLI*d1Z66RWrE6P?
z5}V-1ef1cK^%IE~u7T@A=-qM62K-uN=^r0&XGWLBR3w@cg`V45q}{CG7uFk9iG`n#
zDVXwmV*$~kJraVj9ppnY$daNbs9X3yb2AUor2l1k2EC<lxUz3NHU19Oveqf-o8mZi
zEtO@UremhYc<GgAM-uU&p36A79=Z=#PKDT|O|!V>izYGApZZK6bh!kV%1uTHcWPMr
z3kS3>gYzIP21(RaVxJBblIO_!!$sLeJ6G+gSD+yIQ(m*b7m^0Adn^)X1IML4UMPm0
zy!FoRZZr|E3xF>`&IS_$!!jU`qhLWI^t$(PB}h$WVq_!)3MXLn;jvM}X5pNRN|X%T
z0PAYA^L7+Fkk`fN%o1Zp`g0Ee7i#xq{Hy2WY*+e50VwC`c}7Z!;&Szb&|vpI$xI#V
zu#=2Qjel49fk+N?-<^r^H4=tNf~u%%iF3S2_MKnf{yfftTaATPdDk@f_WWRMZ6D!+
z4aOm`k^U$)i?D)9HWI}%WoqL9!`N;}Vn)+&>+e$!nky5HO1*nC;}15)EDvbT&#}k`
zS$;RFg80Kw(We$9Sumu`H3en6dVqx@K)IEZ3>|x$G@eX9>&Ah~dw?=1Eflu0C?L)x
zy&2=v-fZ-CUi37MtGmv);_9r>a9oOW$Anl5f2$*%yJDx5dw?Y1&&{6;6+<REw&+V#
z&kL^V5+2dnB!N>*`t`?Iq9LpxufN_YlbOHs%L;L}DSvg=UJ;0Uuo+%jGoG58bTn{?
za$`xufSxWgMZVkWkU#Nq)SiU;--tP5edl*-@3D~&=J0K{kexkhTu$WH<@U4Z6*?`x
zl<?&-4`{<5$u&0K*KwVAIWUM4vtPPZsR}0lM)Szh4MfH}LT($QuwaCI$kxF8d%m#&
zXcRE5<D1zoRQU~4r$|&)1B4S0$gr@mAZ^ME7&P154%Jjt*uX~=ct<#RdGD=+AD5!=
z-&0g<fu{;awpif!;RLk<05jmUncitV&R3_Wq}&EgK-JR^+V7QcApOr)Tfl|@_CX+h
znnv~m!nt_iy@{MIn;9B21rX^$5ee`Av`s4Q{{SFUq7BLX7vNdv2Is^gBakocVgyg?
z@9$1SdMz7U(8Xl2T-EakI3&VoMxpczu2pQDO-i<9e_o3D^ixZrNHM}+n!r^lOVXit
zB7PnNGenP4SQCigN-fP(ACkv!;%3?GplhfHe#1?~63lM@`wMm@Yiqn}Q7H6ATGB){
zcTTJ&zB|1r586nPi^bE?l_Z=~PR8+C5?ZMDrZJm)nE8tNhh|Z{XKRRwWCyg&N1W>|
zZa0MuA}X<Pjf7fvR$WRD$HJ5W`hB6%YlW#71mA>~@ak8N=?QGqeQ9tUcU+66Q?I73
zM)68$25JH~DDRqhk_gSLHd?aq*?S;Q7t2X)D+Rh0ns?H~)FZ#Me$5qc1hr>>KF_L*
z+r1zVKeG$NLZKUzABbW}Oih!_O``RiEVqZ_=1IflkWoSG+iZkFHok8V7lrpBrb=_I
z)%VwE5B-EtE<7esQXqF)%kkFliD3FFDwk1RtAFpDjF8sQ--Lt2_qgx~O=`2?V@k<}
zeFO^m>{O<YW3rz1m1Zdbv;gG94`lM-(+mbHb93`mw;9DhM{|z=c?1!;Rhr+mfDGpj
zSY^Py)(!M%AWs>XWN=K%DW&&bUy`SN;Q$~8c}*e!OI=EDVl+DtxPe;^PsrC(Q{z!$
z%N%o)GVcYL)MFR77<*qOR{_8($V1Vc12mQKj5(l-kC1#^U}l?$4^amLt5nIDg#!J|
z3LzM!BowG+c3dwg%wr=+_I89)_~3Zl#o^sMOed8g=S7PT_hRF^yPI?jA}GRG&c^Hu
zoCcRzi=Y-t!#M@T{JG!9jqv-?624=&5(rrL9HQXX{;{zVtuNSiKtphF*KI<-6wgn6
z8EwHP#eK-?l$oq>^k$mWS=s#rUo@bS>N_ih_J|66Jj|R_bm8t5grCN`*oyx9vLA%q
zJ#WKB(>r$k6x~T7S(tj>)1{Rk82=)+W$~na@FZb;LaH{s6Hp}CrX%WG@9*mmi*V&C
z$ZWt(llidOh}Xab8np)q8@|7V|36v)?H8+pj)4da%>)_(tAFL)QwDS;nbf2QQw)`z
zozm^gAI-MY252vLTumj_*s_ih<v-9_<GevK6@_J1+|d_5?arZgAZCvIo>~vBf4pP9
ze@ZIWUMLiXB&0U$GB-!SPQpM&15pV>eT_kIj}ez4)Bclf5x4bBe0~J4K5=z(j<;X5
zFY;S4llk{eKL(%7kav&fyGusY%mV-7bbhy33yhiL4#z>%UrZn0mDWEnIl@_7xUu!l
z^{2AMi)u!Li~ZGw4PFs&zWf5umqt0e9pnuF$k8997Ir=DvQpj>@qenw&CLa=$)G8$
z9mG5V1Y2~>0({NcQhf<~F%T#5dn}{S{$B!0&l=yuTU^?&5TpdJ8Jqu}CjPzZk-!Nv
zIx+DIB|ww5Yz89(1-~z-LgU`>y#^?Q&1|VE=j?l+j^XOVszaDsr$==z4vv=2X7i-d
ztZF(J^U@P`6^ZfAYR-<S3@X8Ig)GU@v>OU@3dVlYaP-P59<Mf?9J^BKtV_VVTA1?_
za>yCjyF>bYsj+VoGS1RjOsMtpStSySi?6SCA*i6lB2fB=1>e?T{1#kTXWwOahdjcf
zLBAb5-{?cOrp=tSF@{e&yH+ifnSz@X-@%=6GJQozg@ab88D0Qey#&))qfpML=>*RZ
zqVP9&6kq0gZ8XPZzOqCLP~EM*1j34s(C!@DF--am@s9V$Iy4~@Qxo_TX^pEc&?)WF
z60_eC%&9HDQ=9yqGxCwlj=bo!`yMJ)MvKgDbRNdLFblE{AClmUdk5k~xJ(~nxU4*E
zPOLqYB6S;+Cz5*hO262t^!n(-Z&D}~DQa}&HB*!#=V#1C+?ccZemYu&S<_>ecYh9B
zKI_evX#Mpy+0;W}h+v-{T)JY~=I6Q77->W;a$Z^#m&|@nmbuHb3u!ax@YX?pH5*<}
z2nT?yZLnGW`t^&Mk+JQyp)US&lg-SlpLC&I^ZPdzg9nhAP5*{D2b4~d^T;bHvCv0a
zwljiRgU`*{#^w;2wOs`@xmqcc3F^r#R`4$fao4>0-Yb@qlmw0_ZpCbYmfT$9lf_za
zce!o00i7)fq2REYE_^+e4wVC3lzG4f!{=6o>7!?OgPzS-6#e1w*@WC-cJ)lc<4odg
z1IA!I9DW1`d-X&Itr1$5tOo7Ock`)+MU<b>_v@KYMIR|N=`%k(^>P@ZCH*~{g;_CE
zW4OiToa;~o#6$+_h&jBvAaRvqe00>D%H2&7&9^SKd}8xv8EpJL-aB5kWhba%;v$wv
z;e6?mnSHC=lR-iH^CpJ<>xVd)Uh(-B9SYIJFq9X#Lp0yv#P-h3f*6wF4<x7FsTRb0
zSjA`8jXxG}3l7}vgD1b6oNz}~d=t3t`~$f=u)Q=+xk+K+bB=z-<HWq%#zh9%s3i2R
z*N!ipEL^situT0eSKkJ?&eg+Y!V@}*?=!N`4z^l%x!hcFf_4r2QZFH|Zx@+x`tLK<
zXc4Xv2}Of$O~-duo@CZ_7l#Tql!wqQ_EMeCSH~cdK*A{NS6%Q7Q3-*X?ML+<U2@kG
z=P<PB;Y{W!rLFr`YyDwoYlfkd{%;m-#!80xS(JszfvEE8!%bLTj$3oZ;lV3dzZCtZ
z_HzA)MU9Ziub<{D4b3__w6Dt~<P!}~?V1*CXSTg5+y+;8zMXyXr>APUaR@fO!C|WF
zI{KQec~H|N^DjkJ&%V*?tL!4@^|UZUlO_((8$N(n?ESlU;GqkFF$FwvfE1-!Wx3D4
zCP;xp#Slmqfy@`2H44hg8*LuvHYHh~z~ONVbk^XM0<b2aUh2C4)2jlQ5e&cJ6^t>{
zw1ZO0=Ws!K3%QO5*0*dRCjn>@56GPW5oC`6z+9V52>)8N13aiz?N@TGuO|1`FXD3>
z!n+1<v<;ZBz%;b`<r&yYij}gw!QW~Gkkoj_NDdc7nf99=L({x!Cb62>JBlDd5#{%E
zB#8(;yAHuSAJ}C!x8zI(P0&LHMqTVs3_|D7YW&C#-g?ZUJsG2>O_UK?XBPVBg<gc)
z;27gjc*7twAk-bM8W18}6d3b_oE0NiZm`iAaGT2fOl9q^y%3N%mCB=DU=wzF@MUq2
zOXS)S{5HrLlK(7T$b|xlH=N(Lf&o>pA@fmQD9c2M%TKPiIMF@O>u~cT#Q)E`^c4O#
zSgXvswLAJxozRw>Gb`jU<T-7`)9iVc(UPBK_H=@C%oL22<7D9#RrUuM?PN{=CPORs
zJ#hD{2fo5CXP}S<#4;4VI&{H60VJMymze>8QFskk2i9`HFzf&ZAzi@h>eU$mCI}EE
zA}<fR)4*EZTu@k82(UiPA9X-A&BDxly4e!~62T5ZVIQEWC@FNnx|zcC;msgYj!q^M
z&Yg}E7-%N|Q>qPOmcU{u4e&>hRRaQ*fDIm404)HO_8PJT0(seuyCGP*x$WlddxBwK
zn{~iGP6A2*!He-)9}$eqQmS3O4oH*Nj4S`=2Vf0s0>sLjns^Z?mN>>T|3D{U!$m(9
z^rvMw{l5Gx!4V%lrlg&%dM-p9{=;4!qqLJ>x8HB!i6@WinkMTrQPMnH4i^V45{TDH
zRSxp8gabkgQ<5w5rLIKE5L;8<$Z+ZO{p|hm*2AF@+G<F;cn6Zk5bB(a%Xq|f)b&Cf
zWoMH-PA0AOo$d49GX4?0A^ggt*X9D$PH4h!eD>0p%)T@c1B{{3+(Bs(3O+vdX-aJ}
zG0{hI1@DIH_wyZLriXd0Fh_yQCDNRnD=N~Xm_rktt#3kG14*;WOykTH)-4wW!tM#S
zQbzc#^2uyviV(ZP(m~xrVNC!6-cNHsk2Ir>9Zz(~_0)L_Xs-`uM<)zsnZYBRc+ILG
zg5YiCOI+)euhdl27Vq*!Gs7RkOPk*Oqsvx1d;E;C-Q&HkDI~{eC{}$cw9ogGapgdX
z{fNx1JpCNk7)nx%D}UrGF#rV&JAGT)*TLr&{HjxoT3%`I&IeonBH+FI$+->|89;Fp
zm;o$VAFE<kGc*+9JQS2lc7d-G4@bENUk!q3<SPEa*chJ!&I-_{@Tde0VAg1FZ%4$U
z88RgViz$eFDKB?}66QJBNB7cq-A_#(_DA8y-?eG94f17TK18NCwvAxA(3v`ZhO9i0
zoKK0GV)Y78AQ$G?!&Zp=WlRStD*WIof*6N1d;gaWBjQK&nH0SKRrlCO(>3+yr}cq5
zzZwTQ@_A7;l)!i8u`o(SC{zUab<D?8NCT-F)kIgEyPSoF+YE$hJD-~B<MBT=v=3G5
zRKg@!mJ#RPYrkXC(tt19L5iA+8)s_$vyw8qrXK91jp_4Lgd^o1*g|MOY>zM{ux8`B
z{6S<;)yC`=Rrnlzyh<A7Z4L3kx$C2kT&;kLL#mEp%D_Ekp|MMnAz3`h1ZL@1iVN+Q
zy+?t6f`de<=1TB8qA*?g+Q<B=#-?cZJY8b32bfpnJFU$bhF(T-Mw-b96N6BLwUETS
zWRJz!(v%XnheF<y5Nrl8K^cn;2HuRK)fj^6eh3D5#gvlmG7n6FHu}5ul*_Fe3_%Q{
zVu2q0Kv(q)0`h+WsWSMq0-Gct1l=oj8-bVNZ+*_Q{bqNN-vh+{znhzz*T@2p*zy6C
z`hfH*G$I}q9UadR`VzogK7cf}Bk(Xe7xZ71d`JJj!E~0yHB_B`5Fp2&Fmt{L39T&~
z!o&?$8grxD+3A>MlgV9v7_uB5)pe)ZqgJ=3qmLwC;gzmMNC*x5*vgmdsXXBV6(HSx
z@KJCLHjA*BOumd&XBK+4(~6unpiZaP7~WQy&?(4vNLf2+1<n$N%qa|Q_jj-yjOP@l
z3Pf@2@7m6{xiZ9s(gg?i`>0=75va5#v-<ut+l7e94|OVrgj$imJEC2DPp7uj9ZBQ0
zjB+HTAQ*@Mix?N#hrq?ZoojqW0-11;G(u=;Q~9@SWm48)g!V$Dx-G_a%N*6~7{Sm(
zJ;)yV+USkjy&U(J*riY?9V}^Hug%w4ST2t;L|uJiP3%si?~)%=8pDi`u+~InY>2$g
zoeluB#dPy6f84MYCTTD!@VNU)D?DrWdCONVpSKgv0%tNWV;9ny$wy-11fdPx8*wQq
z%~ojkXscA7%&=6H{Q}g@?a&G%ihi`H_5LFb%mV0`&|q@n#Hsz+9RbnMeLeFdiDH?Y
zkLBHGXY3G?kjnZL=OH(5AwAOo#llc{1h1Rf?RDPVS*quwyyRr=EDq#u+v_i~ON1Z0
z&*1AY2zfb)EsbtP-n_+)yRmP2_i<H2B!Ib11UJ?!3T1&b$QJ5wmN>Ot*PC7({tMGi
zX|>*_8DjXpku(;n)Zua9HsnJCR_@9Vw|jP`bIO~5`1-&J`mD&1Zt8AV)lTsbJOZ74
zjY`_Qhm1NbUs0wVPT1UXAPoFXol(LWZQD;;ub91uRRR|lWIKq(Bo6x?ntdkv>$JpC
zfwOLaZhTIs7(&`W2jS;e{XiC%abrK3QN^DI=-9pQ!$@R5`b2J1##n=m0;K){o(gc_
zEI|GfLF(V^url)D{vX(Vh3_^)22#QC^jb&+E+$!7Ss)_J04{IzvE3FagbR>qwE==9
zNUEoSGYIZ<3z6!=4+eMB>=I(O3CEhbkbkY{1C#*#F}$A#zH*6F;sji}VUcIWR}(l{
zQ*vEIsJh(4z@P({iM=XRHfyLt)a{n)I6Sg`20TnuES}*No*Nj)3+KUx;Gp7@5i~ZB
z(9M68PWaeIz2>pURy>P;f~p{Eejqiki~dDMI~LJ0@)PI|VsLyf`i|tST@l0kQ2T+o
z+=P#D;=;jg*EVx7ed&gJhr&d6s@}IfM%(@7G<lE0ZGEcq(JAk!ak|+N^?1GwMB<)j
z8Qvk97tY)=4UUI7b6*sg-kWy}eisY;2V$9Krl&!!77**Qfms|BDmBX{(wtGxmTNL5
zh@Sxg6X0b00WJi7nc*n-(*Q!0P3*i~g(2b;3l#RfyU3RWqADQTNA1P8%5(-fpwAa|
zuvAXd6gbEN3K|8Zdu{`&Au@UQ0|leBe9nTyo<UMRA7V(h;2;%=8nm4|pfRVMFLmTt
z$&(OTK@-o~p(+Vd9t1i(;#hOBM-B^#I3$Ud9@4dn5d^llO4@I_ridY^QvM@XcV*Ui
zMr#_E)KHh=Yzj<oia5k{@#Ph0;SUK_;_w(oRW|2sWELD9m~u521qf`OB`KS%J8>oE
z>i8d2A>Hy8V3YAI-bm9YbxGb@fBuTN@LW(Hq{>=@hH-`_hXf^g+#JwZ@#*s?giC}c
zH3LXY584=vGwewVsgFb#?r^6}zL&Gfb{F|i-|+lchy?wh8n?WIT>e$6m&B;aAjCnC
z-aA$U&I(j(gT48cjt4#RHj}wMAg`PsOgZiC0%l`C(^>=WJn+vea}RVqroiL_#EilM
zV0QxK>+4utYYL0a52QXoq~Uk@yZ^HCG*UA9)rm$H^rait^YEd+A5UgjDX?MULJ85J
za{QPqv7skx%wYY~EK%PnJ`{~>!WDypTZvw_yEC03RJ%W3FxuRt1wnYHyks~(QNJ0_
zPHuN`8<)sv<;UTO$u{NK*g!$pi8}9_vVti>zQBXPs_h$Fr6-ytBowtASlup*w;>;c
z7AAV&mV7<QZ-Vq&q);Vsw@Q&^QuV#~P^5+Dz8ES_TIIZaW8gG6qL9!>$!MJk^4W6A
za(i3UJNKiGv%-If)g8CeWQNz4I(NR>yIt%CBiWOAQ*&XPe4S!ukicpqv3p_IgzfjV
z77KM-K_-MS071cM7)8j<A}Hwh|BLo+f?<&<pq_wY3TzGbQGjap(fwf$#CaYBmO-=t
z<ZuJctH2)|0&k~5zrjxha|aA0Q-L_12bof2k?EsHlk~bs6GBkD=)Qkaf*EmP|EO1^
zWk|)yZflTfXli_te}A%?%O7!_r7!|bBO?Lwy@)HbFxr>Rt*QB`w3QEZ5rbd&hU{RK
zB@<EuHxO6iav9&{@@9z_FNas4dJpg*lr!UI=jqVFY8&MBSw)k4e<OCgm5LxZX``N=
z!4^cs7y)G>lLC*Gaj0dtj`q;*gn|=Bi8FA~_i56V`Uv1x$W+rIwkmkGRC@epO0(<<
zO}xP#RhbDvu;HGKvpUX)ssz~3W<T7WV=z1<rJ@28!^jkSHdy7}-^M+rZ;G8GczFA^
zXo;^xDxG4A<za0IT)duc8v*|S1y<d%m)`a7`5c(|xCiWkr5?=nUl1;Un=6ak(GVmp
z0HXi3Af*easlj&vkf-bZm*Z<Mpkj`YV5g?w)_*xWd2N&8UWCEs?%C3z5CzJJzWZ_e
zsw^CGUWC)j;x<|j+i7I=?Nt(ie8_l@ib_{7EZd6z3(3wj1hof^=Z<#X#rXR@?COoq
zO$tU6T{bvJ!ajISOL~W@>!{jNKt;vv)6d9a=9X0NZ%}0Qx!d{~k_}U3su>FV_o%10
zACO28BU5IzO;i>fzUd6pO@&S<k|#!*_3QS^^I1Dq929MwTT{;q5oD%scP-iy4BZ)+
zsM8>e<}-xH8=@2(Xt{=(?czDw-s}!c?AVhhuD#1Y7M;EPVz7X1PQKUp@{J$^g=oB!
zKyPJ)Lgkjc{vM{B!PMEXl<&YuS5OE_(;+Cfd9tLaXm@94EQ5Q34bmT6DX$6`podul
z11#uG1d&`BtQ|KAm&h0YkB`;gvv%%3+v7(suj_2zRG;r+H>bXqJF%I}kH6I-u+z9U
zsE7+pU@A}&(KMhF>85X0Vuwhv9z1f5q?sRd=0&xoZVV08&X8E+h)(Y7y`db|vhjPD
zWj84>5amGxr{Ox{BgcM2)5sc};J>nxQubF@fUxSBwm<YUlHeTgjSAESxgl%c!!_Y%
zHH=VIsp0|VS`H~!8`=v3N8gC;HS4R&93v0w{msIpYif(@o@&mO)0;b6DA_{axXGsO
zIQPNBZsrLXymN6%980UfGi)|{L;qYQ{RwRpT}Ds-$rI#4gm`RMw}fC-$%Rg9cWxKH
zi`d|=;b<*|7uqUY?dG~To5weYM59$d<@aV7pgK7x3Hmo&7MeFCUvkrs`#N_9dW<Ti
zzlaW%r{{A0+$~kay*<sg#Y^QD_0L^b4~jc36h-a#(f><O0UZ!3^6;^<P(}KB$qHGb
zQt>NXWz)q6Tb=FI$0xm=H;TXdH)L?{5#j4#hbPca-nCG=*^^iq-nvkI0!2+@zkUgV
zs0nZHS35A6dp`ktBnY}^1#zkUU$9@TlwjjE)YV-sQO*G_aA}x3F#f*m3;!!K>hcF4
zmseRiIBJ0Ov#7A}XHzyO<bRL0oHv?CBKNT=xVv558-^YwBW3t#Gi`n9uf<~LcUNau
zRf+XOlHID&Cvuq+gw;%zUspk&;NE$~3w|RkxY^_rT*e^KM)dBsZPy<(gT&o5Vc-ug
z;G|*GH}dBk!zi}XygB%|E=P5J+<CxuA(6Aqrw92D8%@JzVK+oy`7JJmETO*I0fj;+
zT8Ef9?!mg6%G*%lw_nZPkG+vY7{d^aMrnZ-zvw%zPCVzd#`|f_=1~D1K^dvru0Q#`
zO5~R9@Mstje&K24p#~;gf7tIm8)KnaCanJa%_8YyNlYj08A$r^QLYLlf1{@n2HOcT
zW<lfvc+0`%l_d2MXsN;7<}h6-3$8+-^0)ySwdABE6p*|O@@oP1XAMmD{{H?Ffv<$b
zzrRggS)hFhz>&WHIbq}1|8v6L&Hw#L@n4=(wp2`x3Nij+bKAQ^>w8JWGZQrBu`6v4
z^&bj6@H0bUHR(r_yAHR|d_j)>)6(oJRbNNx6@|UUOd@l(5L7taZ;;TU0!x{o;9DwU
zvxx;^pj=~*%SOo{2}K8@T}6}~2Se!3k!^xJCh(*K$&-R;ErU;xJ5Ws=$hCzdNT91%
z2B^PwidOwNqxHWx3_&q<`Y=yORkPgiv9C0f6a^|P&ElQ>&>WNvE_IWnq$97YQxwDR
zK!s>>9dx%^E|~MIZJJWMT4>4-=KZVUzqZ3Lkm7a3-seh@Nod5F8-4LX@s;Fp*^vRU
zjM40`5t#s~DpAbP5<IUQ{_n(vg!Mdlp!T3V6OoS)`#2b~uX@keKrC9qbO6H`fa)gm
z4Z%b`OiI$5lh{@fmUj-pn<udIe%OhBJJaKf_(XFteB!ZK%*Ue8KwaO`$@nb7A-Mfi
zhD>pPvfJdiB;%mNnVarA40F#}JH7&cV;l>pBr(Q}-&1S9Bs_uxmsy~M^G2Zgc1kAc
zd&si*LrEaNmuSyo%IMN48tUId_CXRswk)k7F22=Jo~(E|!rS<6$M)wZ4o4XIABc!-
zu8KWzTMiUHl%I4XNACjuur*=X>cWS~P~ze?SG&j1U;h3WRE_XDfCJPIOqJj|=k<HI
zc|U#!c|^hZH5B4?%OPNk&OD<gF@^p#v3-Q#VP)w>JH}ts=I_j7NrP?@JBNM{w}8~^
zY!^zOWzs-03>{~Px12>rUO#S*To#MKww+E?s&W+Q3v*#E9w;y!!^I)vbx=j_a>Eid
zsI{gTu54BI5VXuE$cxV*)k1rkSe)HmB$Cj5*kB$6lgP&!n0-XVCnPhMJZ@+*`R;o?
zv{-lS^cp13W*u3;?&Px&m8w|oy@nym6x!LII@C?e=YEv&l(&P{Nf-?ToFgjes?Xo7
zpiZpU(DkjRA_y^h1W_xgdct^umRS(IjzaX9rS+e-%M}BaMgDu;;ofd;g_EP6$3Yqf
zz*HT2Z!*3$BXg@`DFqK}YG8@2w1g-m<^iUZbu&2UMj)cBS3LBMhQVLUHKRTlROsNg
z(FT8!h@i^{NP`@x$qmuEN!Np3Lbu#7rzCeXSxO>nuW(ar(HOqe5MrfI2b2(4g`&G?
z<S?RvH@iXZfz*9iUE>4jKKgu5$Luu4P_*=jf-E8nx^M%C@>?@&|9HP4xTZow1xul=
zV%`MFIcZaf;AjSS9vmKOZ)LFsQBcEgeUNAIl%_m!lRz+ZGYE{0w_clqLJzaL4TKex
z&OIBH_{=UOru40OFkUqDq9^E4>9ZU9terD$Ek78W0YlkjJw;(Q21JARuiQ331l6d4
zv7)4=W)ja8yeB{%?+FrwKz&;*%=EwR|I)ca>L;<f=yrILH&2cmzK0pt?Vgk+bJ|5X
z`Jvx9#qjT>>7)!mlb5wa<%Bg%z#NhJ$AmTv!^lJ^1=_FhUGmTR$^3Qq=lMibig8wu
zg%?f^-&m3QadvkSb+7%o42{FZvtIocGnY8ID+a0LK|BaGdy6O|D-lmUqdUsZyU%3<
zOV%1CQSM-8z1@V`j@z6#LX0P=N!GfsrOe8jd*~mme;u&4V?x!LA1~uKONb{p`1v6O
zVTA5KFi7M+^zmY+(uf2|lxU`GK-r9$?PxEEl1e_rh-3$pLl-udd;$R(9|P%S3X2gf
zQJhOG=KShzdWLZo3=kITzwy|vLOmPZybsLme?YRF^oP7v^t?$(BaW&shq7#Q8Y?$e
zu^SYGds*muad&pU1RhP0wD=E*@&J-^0nBzE7pk&+5UILfBN_kz)CyQ2klOGs<n3lp
zKKSe*`Wkg>JMn$KaOE{o%>MgX@Fm}f*KNgx>58j?DQyI|6rN37=XMrV2`%vguCuZ2
z>*r19xx^`DZoIX<!>2)X6K}XIhjm$J`b5L3Kh}`eaZdM>11R-qx?9hxH9<&_)0A^@
z8PYOe(bYfoh@%j<+#yE3oUQPBOD;%shtL;VjdE>jNNgu|S*$c)ZRee{VfcxVa@y0?
zK>n4o=_@sbwO2u<w2;X5%ak%e`^*dRyF*wW-!rt6PdZuWi7)qnRO@@McP3xcIZm~R
z7W@wmo2xvd%&(o*w-hg*wRz}8Cs!NxZDvn=vGYY&2HJiXoYRQU<B6zC2O?%hEx7T`
z1eu6Cr#7`;ONLvL8l`A`&P8Mqld%zC`-QEj;{j<n(#m#={dQl5U;KKRtR?H*x+7(f
zJXtr_mqqg3oodX4%fV8=asMV|$JCHf{8?nmfX~l`)O0G8EFOeU0&XU{^3xBOwm#S)
zbu2JR9f(*1lA1PtxL(?+194mube^MbT*bj-jg=A&xH&a915oGgzPxLv&yX{h%R@AK
zZL<q@JDA~$iyV%<1di(C^^QwiYs^(~MsGX6_+o|rfG->5{YP{E;{vGOq?MF_C(eh$
z*Bw-T_k+phHInN!e;LHVx`Ol?U}GX^sRSQ3aQTi64|{>cJh1zZ3q78Iz7}rB^~@BY
zDroZ5s@fwr3HqN@$*iz!A6r?udl6i3#MA@4)_y*z7WjcG{^ch3I(9UJkLZ^;gEEiZ
zE;k8(u+$I^Sn4MKeemAkt@F(w+y7)uiXaMA(WY=*6<C8dDN;U2D1MOL!N<zy=9jYG
zA2&dBM2s+*mX@)GF!_TiAk2MI9KtxM&4;S~hBiV=Xy`YK5&UQnOXuWw9KNRGj|6c?
z%AG81QN8S}#D%J0B8|CJC&!S1t|A+l{EhK+<SdFnBH^Lp^C}EE%s+ES*Y0heOcl4n
zxs7AImobJ3T@ATGBuwozEWtqPx!XS2spjVvJ;*>n2?$|;JMb$8ag|G`2l#s|l>bKy
zpy2sZ;YnlpYElK*2$w@0L(MC@{@QN?fTz@yl$7}Rc<}F}q#Hm%5t#Xd&dE<lvxgwn
z?zOD=^?MxGiJaSMk$qu+Rr)1QchfEu!bn5o2Iz0TCH?GKI|dEcvdYS_9hqQ(CEtYd
z)pw~CGm+iz2#HK_2N9ko=<tP8!DHQT;>hGmI70s9EjT~8rNJ)ePV6tkj3ib>z-X62
zRQJUns_e^r#l6{f{H&rNs4u`)+aA@ncSWv%S~{8r`kB{aU*28KXk_!T8ww~qV6Mgw
zwlOfk<&kC;O&%M<8#v7+i=IVRBhD!oU<Z@Tsft6&hfk<c9_xkpY#)qeU2$O*#?EYf
zf8TvvIz41dzusq_$+rYkC^6^y=-mC2{f&1VabfwCEQOmIc}VKkosUK1y$M7y*_1Tv
ztoU%V0D>)1_Jw4VZ8M?RPS(Qdgr-~-(<`Uv3ZhIvZB(D2_l@;T@h`vzUG~6}f@SOc
zJm6m&`yODK06cOJ{=-g*1`-6LPR5e{PpnsrwhfSzcK-gt_*+vK3UQX`r^Q6L73?#_
zl*={$U*UBe$prC7w_`;)wYWL>`jA6lqmX*p^npI*{$yufU2N_sX$5Hny`1bd8W(cQ
z;HYir9+-?UJdqvyF`B=9Y}nW5<te-B3X?B)Mz79$X&Y@0W0_8dJfF7dpSJd~7hdqL
zjIb~-3BKQcHeM)98f5%}Xo}8V5R-fnLb3At0E=AzBm)(?h%%DQXM~j*t?BRN?Z31h
z1D~egvo71JxSu@Bhi2J#Euhy&>oU`1Aba#O#tUK&8>89Z_c!<QLUr6h(PdnInKCEO
z0w)Z0&$04%6=lbP%ZC-B6MZ&3EyMc2L)s-ht;m<T8HWckGc<_p!dZk1K6B5QpKKD6
z%0}o00-H&*{djn74KsEtCdp0LE4>k#-n&7aa1vyLf9hxL-1KyD+cqOMFJ`_wP&b)W
z$zhb^jSa~J8vJW{U>1rFOx^B;fk{t6Tvv3n_^uFa9QEPww5z=w()WuYr8u?Nk(;iQ
zzWP#6F`*Q}{bBcC5szg8G-%i>I9WY^gBBy+11upcvF6K{c}^{kr=c&#sbdrFGoOBm
zu3t?KVhr*QpaXn%5%`*bPGqK3wO}Y2WZ?jJFZ<Q)Yr_C2B?1T!2>Jv~f4ro=7oq^}
z)zsL23??uMniwDV2hIcC%(aJ`nT!FoajUkMtegO+m#2H~RVVTGBdx5VU%yT#^Fr8P
z<#k|3L2b|O9)`#YBk^ue+;3-9QBRIHKJtWGxZ|sf=@U%&WZK!dh*j@8z+;0N_ybDN
zk6_`FU+uGahV19e);J<P;j^EkKgl5t4%}<MiT|Lbl5$b-v7D3^6?V!>U0$<-kt1&P
zKok^PrVfGP{4>=nYS2A%ID9uIVuiC7N+)g5zPO!NHUcz6Y~EtraYyya9#r$LT89Yn
z5mAqFGQVVU(Lc4<xiZ3LcNdzTeJ&#Yy=z>pUdFFACioojGW>wEy)IYFVc+h8gJDd(
znJ30#cgA9WDJRD&oZ~2hkrc9dnBo}y)PuTb{%%VShL1BoJ>>kuG#6UH9BB||`!P51
zAqA|nO5?VYsRxj05DWVYh?(Ak(xzvSOMMP-3_oB{#WzDE6<P&P18B}bp6a$o*W(&U
zTV!cH$Onj07Z9D%mLU5@*K|ue`E~X9RTI9IM>HcPzTXr62D|<jI6Nl6?-}T_UzGsh
zSOep|2Vj4VKsXmb;>U-EJ{Lg&?P*bsw1}h64Ems*LLegzpLvKnEbce!j36I{^vD<8
z6mvq$$oyX+@cV=lRBZz*9xYm?ngkCbCQBDthl(17dE(s!oq{vNfezPKC&9NrcK^!%
z+jVgKmoFdC5%<zwY!fm>n&YEg*ZgbH^M}d>8cI2yFn)uvh1|hDp2t^e$hMX@uuUGY
z-p}}sf$`5X8cxdvJ#cea_}P=1DJ7R!^Gcoyc?tKP-@4L~dMT)yT{|_nyWi7kpdR$P
z9*rFIB>5DJ^nVeAV$qm!OPn0Kfvq)X-w{;eaGZ&@q%GN-Rz7O~@mFv0rpYWMSsZ!j
z$I2llf2cif+(Xp!QK`q~T(JcgnNDEi8(x*TJQAs#-$8ldcdfKP6PS&##eCY$se&u0
zjNZ6IzBxxAxmiRKO1AtG9;Pnx&-`Bm8Jetb$xJnQ>pPs5EHr2@&3nVeY`e*D7RX!v
zwtT)e&+b29#P^qk^TYcjmMfWY{-OV1j;aZ(84gEx3ekzOz_4IyG#P;^|C-vuw5KFq
zSZwl!&lD6e0GWmm$m@t^2l3i_uW0KuIB>yb)B?ikU%fg&l{!@Y+WEoifB6*zsy2Zd
z5AbcfUq=2XqY4;(x_~?Fe>18&7|O3B#Zc?IH#mRiH6vVnf$glQI01=k&!LD|Kt-^H
z`szajh1rx(5p%JjutJcLI@3eW2l#=jGeerh#_4poH<d_YPJ2B~2WpA@haHqq?-6B>
zo3cycXt-vsr=34psI_&&D8;quDBHu~cm0WTPvugm;{xM&TD)FBmgv~0OvadXD8=6~
zHqkuB#P*-R+%gC8`X68(5<93s(Wb@)hb$(W5F6+7EYZaI5pxl*4R141@nVq{y%WwU
z3tUr#a#1<Po_S97Bs^j)*B`!@C}7<^-4sGWaQWMlOl0|qOytPEnWN?U%c!(95<C)|
z3*6;G5A&P7*_y7_%bh;kK60QXUkRc?_W0zwI%$#)!82{_g4z;zJzlhY^x@Xc8#8kh
zx^nJ@aSXaT(Lzj$&yRW`<t<6K7$t^Uop=-Ro2fGOyWi)jWZ#;gS4}LWufw!S-Q`t}
zkb<-G->{s|)(kta#>Y~r2$qWC+}U=658SJwe`o`MF`&x}<gFiqAYAZS&cbHY!ZQQT
zV&6Vg?)C@UqK-h2cfhxm8k<txj&Z|tn4Bk^v82C*1lMdY`XS}7fLx^c?<9Dk8Vvk|
z?%Nhq^FKxPOkwI`R+fhojw)RCXla`Zw~WFtp1UgZX`LtI4%?x>f_Crn-b)85GpZWi
z33Lw4$1%yve?a1}rK4*e387DE{#2ZtqN)fx8v?`E>X3n^n_;WdO@i<K`3<g(v>=)n
zw8uwM3uPG*@;ZvF<}=Y@6-da5+`=S!iudv=jfZZWSxT*-LN2p0L=fJ}Dmam4F0YB$
zoh&{%)_LR@xlEC5pyE>L^mM8xeFQ&Dsa2t(E(D3d(*cc{b44Hs`Sjwa^3c*%Z7GT#
zBj3ODwU%mqVqg5!LoSXf>zf}|q3vp@xO7%Ze+$v%u<y@b0yn;XtLs!SE_isHrFMfJ
z5zuy8o@kG)bDvbNtL-iLbH0MVDCW148K-=gV46ZXiz~<ttt!XTo1~Z+;#k~K>AP#O
zWBFS@qupBh(mjC>VZ<_~+$$9pqnE2KeYT#vJZi3xvd3ox$EReBr6pLgDwBDg!<<`T
z{e(A}j5JeYnT40zDt&KDjL|my7Qt}~`wCLXq=SCA$tS}iYiY5b4jwG5p3Ii;!@}L;
zXxDj4s>3RGo0;^!>8qTF4ecWC47~7DFzf=SPZX_|C0xwXf3TpQBKu^ix&y#u^(yya
zr{U%G0<H~!Ic;}!{+ZW%9bbXM1}OeoftW^~MHXcQ#+Jpcg?KM00?Cm<n!8HLGJxMQ
zHiN^`b|<!N;90398alxp)2*`!<9^5UIWjNe$^U+eYH(%U`}!IwtLWga=jS%!TF1|m
zff=3m_y9X`&mg10I}aU+wfk!hacfV`jAtfE|Dd*E12F~9HmY`ml;V5fG^}jX(T_jA
zf8bgAB(f`>!sm^YLUiyw3~vCk-{-(iBp3W_1k^|0RH9C(Yc#smPeIH-Uu=<Y38+Gb
zp(lfar-$}Ef1#;2UPI$YiWf>8bo6T_^WoBPjn*PIEM0<yX*k#|I)sWF&3bqA%ABx#
z@rwdKt4xZ-%%BtR43@NO93_hOXLG$a7AJ_UKad;0-8pcxi&T+Yxy;GK5axPnKA0sV
zSO@l~O5>(bnEf%QN`Eut-yHsjXE^ONRJcpDpdau1aN`w9N~q#J(bPaHk)x;Dvx%-F
zVNXxt+oKs1d+CDcv2lH_q55{--jqfn$KK_sQ9g|$9oqL{ZyRY--WLhZG$r^1+-em$
z=fLQAAwQLmPgTvLL!ZSV9<>;xr)R-84{JXfXo&Q08dK^tL2=?k=A3+*-j)1E4NDDw
z-uc(m{}Qv!6lKzJ`k*Lzvg<$+9*@~Okvn82-tnVuK*RwJLW-7$hy^ty!Fpu@PC2=v
zRp-B>7Yjs<_evCyFJR1yGB0lf2C7ln^MTY?wYi0bAkc~qq=Jw@YCxyik`WP~ZaTE~
zl8l_f9PlaO-iM1m!c@M%_1lPt=rG1wWzTF)??o@E3pSVr$ZM|@9o<i`*_ojIWv;j>
zPIl3~iI(V{IL>S&UzSr}v`L;DT<WFqC9ai%DATPVp`9?CWu7>>_8I=#(0DzA-P9qm
ziIwxNz;D?Un#ZA@KZu_?rR+ed96I2uTTR3_qAq>ym(YFJRmpT%f@vnyYCo~;yOs}T
z!L+;;#=0avzBl%f?XHy-EM1}hzT~S~Gc<}o(K1EMYVr;tLzK%`j70h+IY?ETug4bV
zZIa;Ep}`G|J&arqP+id^>yq$P-|NSfCw9}J5V$YsJ|p8X<5Xbq997f=4GHC)S79Fi
zIP*D~(e(~+I<17U=c9w0)H4>r(hR3hP*8UC+pg_&xf1iR$l=*Rg`Ot9h|TA3A{R{e
zL&nmwAU1v@C-i8}CAzG|Q~37RmYq&@riu7ywE*0GA7K^s@U_5QvpvoFP+xo5a^n<E
zUp_5V17b(m=7`@+#aTB0bEE(#EJ%h)mt(7wrByCcT?p<#O*mY(_0jf)i(=Vrn>M)r
zIQZiN<=rk0QZ;|6h^KubiPV6OBzZ*A5wtQ-L;T#jo@VbhxOjo!A8eiGQHQTVoi?pR
ztOhUvfC8jM+<IjJb6z-fYeCit5K5e^;F4Bqp$^Kvg?^O{u7m2&fmGqAE%aC+B)4w2
zK5=xx|BtP&463q?+NDFfrMsj<x?4a%K|mx01Qh9Rq(eYjrCU^5O1c{altxmzL)vfg
zp83wqnK?85aQ19A%zo}z>snW!j7^ge6Au8)FjZlB>zNB@ie<D7$j)KH$S)v(j!Oml
zaryI}AGyjVJ_ntUfw%hS4~>LJ8JsxK&-D%rK&XxQE#1gTnDzMrQ5@Uc^*i=^7)_=3
zS~ZIt4{X9lf<{mNhK4(Z(d=EMU%b9}FI6`8rJI5<OywWa7(xGC3FJYAmkb=nuf>FG
z!}8*NKYmy5Zx8;S&!-U1?-PZxjpeQpjPIacpBv_gCdKe^NODDrw8Qsah{reYK-UnB
zx3P~2t7=<V-kv@Vv%VLX1wO5fRCdGTIA3E9*0l1*)j}08>D%U9*JaIkb!N(CaM$gK
z+&ko+Ak!!1(fi$(jb=h=ylLRE9-Ii;H1nlnG~%R2d1_?Z6F+W`hI?=BwQ@2Q<Ma0>
z$D9@;3uO6Mds08F<8GnNiu*coDJg%)GH+b|AAMIxYQ0%|=<%_OpOvGdBT!Ztm7c~x
zU?mGH>upYu<CiCIJ0DmCN-syRt3%kNc!SwYwe{fw%n$laZfzq#Gjx6FJ5U7`_^n$B
zBqxATs4$4VonpU$?+p<0;W?lhv4fiIKVOlL5Xf>2n#k)VvSy5HQOq=^T34gq3?Ea?
zsFrKaU2e1<<+Dnz6<_R81f&hKtS_G@wETI(Toi*`M=Wn--lJdyzQp#STOaDBiIPg`
z>NOqWFei7Ed>|F}K9p^Ha5{f#tB6WPty-@3?8BY#g1mmmR_Ro(M}Dlx;wph9HE54n
zs^mYj_td^X8b=XxDaR*e6aVlL2djY;a+&(gG(YzkJuTP|!O77UT^|w&EPBj^+4`f(
zSkI8J3;QUT%FZ&WYqTkS=RrV0wzO^2)#9Y)t3Ax&{`-&atqCr?Z`(Ar9RD{wpMw74
zk<rd?e3@#BmYy68Gj>&@GA&2;Oggl1nWRqCZ`QJBh751?U-~P)dYx}aQigGcsicL{
zilo%iSKL!jQHPL&7J*OvPH`$F`0B<(z-nkkV$ak5PkJyJ|FCqhr&S%~IHq5wt%~wV
zW)e(3Ls_uncmH4&x@BgVtQUAtFJ+D0B+i-|;-ro}suEO9If-V?QpV$Ak15PSNv^%_
z+Jq=+80+w9jCalu$y^D;-0iT4@5B3VtewM*@?2*Rf0SNnGZ(VkjsAS4G^*5umYOLm
z``G2r-NO<Tn^b{cr%(L~1#Pqz5bzH7g2loXqznaVW<S2f(~+q4G@4)wdH;NuFi{sH
z@K1|B3_HQaugIjiiLU_C0*UYVp8V9Kg|JF#X-Jq{y@j$MyHpy8+i(EDin_HVVK93U
zEefizTYnMjA2|pg6MNW{QJSEc{#pFwR-gn)Zhr>ekHI3l*#Zu5Wkp3a->tNSxfGg%
zCXnDVc4gdJBEjMWza-#t&qI58xZ1xq_>mQv{Psto{QwhopcO|)M}t%~6FU9Nzk4QC
z)<0l{-U{a64d7t{zbjkN9+GP~&a(cB-FL+cWC9V8up;@!_rv^V^}?0rH@}k8>N<n-
z7_Rhb9q-hmXOMPl-R(6}TB{H1vHV?*W_OVz>qbN#yR)JGlbI&ggslGEBI%vQP>BSJ
z<&A&w$`<RCy~!vz&sP2%qGXBr$GKw0`(Mi9n&^8yZOYTle&&|HfMbnZBd+p_jPu1%
zY0medtQ<;2rJHsVfk1=)#@~sBs;xD%bIMyzlX!OY$iL*`+%ozpeiW}q$fI$LIb(a9
z<!gQv{<2A5EtkNs_;pr?QSIrN$Wi_(&LP+SqN)<QZ`*jemaP16+fVuA=&)&$*9Rz4
zT4;!yR7PXsG_>OO^ix)@j2N8GGSBm;*fyo67b|cM_0Fg&-@ekxxx+a%94K#n*IQ=<
z#p=%lb%3~TYRTjs#E9536m-@FTBYvVQ1grcMvWd>d+z2>qPq^G6=aJDLGg!nl;aen
z83@8&iFJzqygIJZHbV6F^FwrxbTz=Lbv8F-Tg$g19vi!=!3#njxWRc3&J086!TYz3
z{!aA_s7AWnA<{()6hO58SB~cDFiQviiSNx8h>jqEk{DB;8}D}2z?lT*5%rh5-?8r8
z0YSj;{K7(Kk_*^B6z1G@EAc?|eo|uio)*wl_ik!;g`%_Oo0C#>S|46^_6R=!iq?VC
zB7NRL#C`#=sxmH+`g(_k{;aNEo@}`TiTs6y1r^*azz!D`6-~PL<lgEtJjeRLU$nh!
zNC^n?^4Uh@;Hg{9Fhx%-#W4S1?<@O^^XJLIyK&>xR;JCnHo>eZettBJ_?o`rdX3mz
z6ItHf-?A#-9uF2+zOrPK3XAWhugU&-s#qMJzWZU{LvB{f%>8G^?ib~?+)dr86)_Wc
zuOeHC7i}S{%Rxd|n-+w&L18k7c#PV4YZ4SpMqwAkCDsx-f3-5+Mq?buQ=Hn#VPOT+
zH0}P`dQr<mhQoT6S6%co7SqskYkwf;M6xrQ%Di!Wyzbh(Xv=igUc8zmnJ$Iw%eew&
zEZ^`Xexu9#+zeFtknD>fPLf9ywTKVdQ3h%rkR=omj|qL3bs%hdSG7flbuzBw92?qD
z<Z-_vH5(<l!3a;YY}l|x?xRcLOGo~@GK<Nwk6!h)mEjIAQ|cc7JyIx=d`zt9jEYxg
zU@};a@EDWCt+32IFrdd^f!F=r*3GBxzvVS(3KlKB2_EAA1~xDk%MvW-Xt}Qt1AigV
z{dqI4UMrfx^>6kwb~Zm^2|0m2S8nuajy#(2&%4)~L_iz>`Nj=sFp@c+9s)!B)-wx^
zlC*bEzUY^y9wnJCbwv1Hp5l~AV#YWrEWG7IM#C1l+^(brApnRIUi_y!=g!OA{Ph)H
z9i9ix5r6J7j1H%2>@)fPWQWmE@LPmSyoR|}NnO{G5eTSPVAZ_k1A~dQM&%JWeF`)E
zE+CrhRw)gmG5b2yBA*Zp`o$MqVu2}I4m8E7wQ7?RG7IJV4|?fSe(?RwV3IyqvHSL;
z>800-G!tg>S_HWq9;)psy%Z<b2)ptt_9i>JUP}X#`+FOs<^{IunQpv`?Iix%iQA@!
z7Ax8B;=ME8=s&;i$V9#F`<zbjS)!o+zKF$zq;RRq&n-fcnIF#Me}l~*>*@#mp-E-U
z`Bxlt#$``WHN4UndQPy9uXnBXlVmMRa>I$Yhqg_sQL#+`Iovap=tZPMU?_G@3XQ-z
zJ#Q}I)0`ttvz5%`A*QxrB25*6VS!Pq+|ab&(R|1hBL3wYb4e$JU-<|Az1T}m!N%8R
z2`l@;+C5k3q9V=0!1nC(Rt}|wcz^+d#pH*eH(GS*K}o%Hr^AUeycU&>Xc!!oSXE>W
ze*Gv4GSaoNSu17~BgPBAr2k5I4aOldc992;Uj!EDmUMM*7IT_XZs6Rb5KU)62#WcU
zi*WWZNuo38MIQaH?mj^xDV7aAc6HNe$A@~G%o6t*pV_>pb66!OHh|+ED5jtunE0$`
z4?QY8znsh=aQ3@Ha<3)V4dl!o2TS1Imu%clh_kBF!Tkm<jax<gtt$-}jFe|m2-%+9
zO4kGg66_%Y>Wg;a5Lm0h=~NBt3CKRvRe4Z#LTtS?ls+07xU-AEdW9NE3a&RJ_qqFK
za*uxg(CXk0R`@+JVLS6|ML+*%{Hj6qc4z%kVB?svG*gD(NL1X`qosP&yQGOqvBSon
z!iDUVm>q2R6r$8>(SE8~ILicuA0M`gCo$~o>*G#l^6DrUi#enV;YxN+H$}$cdh+Za
zO!bdHRlVLItw}wt<rkqx*LhZ@{vaf4mB%G~iq*XGj12!GZ-zA6hmpK+_GL^D%^G7r
zH3J*7&`YKU%c&VH&;F*FWt-|W-iMsukq6=?B+vKp`>`>M%m=iYi9;e$a%9)#weV@U
z`vp5tT(=2{<#>LJv>S^_s`ZD3Q~x8}s6prsvgA{fq(qg%@-B=?`*8NK_oWn?;+`Ic
zAi5ufAN}^bd=2FzXt-bi_!lxo-QY!N1>Y8pK-MJW#NS%_ze|VIz9u-y0pnG^xr7KF
zcwn1vh37GDH}2tTAndMJFtdm1GbK4$2(;>87M0<9It8rQ+x%=A|EmL#A<jWj0?vtd
z#oaimE5PRtlE28!r>kGT>YaCXa$;z61x~FEcn(#~!SAVo+)SRPZ~`HsoV4W_$5`sg
zv}eb(g=KY(SU>*SQE3%XF*vmH_RISyY#+(@xGNwz@y+nO5Awq>l$pHLv0)z``^Tmm
zXUM_mRnOsPz+L4mBxK3deM0RR``J2Mc?mb4&7DZL%;#Dm-gM>8sg7K+k>T_pug$eO
zvO>gY7+HE48SUuSMO&3Krgt+p*Yl?7<@$zo0vSxU97G4#)jvi8qwD<S%2DA~+_m87
zl@qv7&LZO7mgl7=?LWYP#C)B^Lv9u*XrsN%8k|gUE!!_lc4)CnSSX}rfWGqHC#xck
zT<5Z{?v(+R^I!JWuO2VCG1|3=pWd%~`>%La;)r18^&2-D4~*7+nyC3Dq{NRSv*)>E
z13rZzyI0j6Z}F?YDXcT=xW02vzQT^q+s8k{$jcS~Lx1>m|3D@i(L8lCa7$Z}tAQRT
z?fpeye6eW*auv%+2ddhyEi?>2p6+1kJ8~2CYq{K%>uZ7Am^4(}Yv@Is?IxtgL`~~@
zua;4xL&NjMHhg#_(6*Lvj;f2-@$Zz?)Z8U}PNBVmi?ufq%SI0T@=U-YA@!jW>PtA)
zy`jK-;A{ANBun;|SULm*J221exhnwc!77uhJo_q9N%XK~Z~EJ3XbnMWW&}Qmw;^8R
z<2pB6fMdc^xCGZs3iEl7Wt=;&Ov+4Up|gzU1L8jv7Ksl9NVyFs%X7b?XF(D>@PnhT
zsJ#~CRj4uqPCJ_B-ZiVK8WQ1%?)ed&=e{?Oz_=R7cXWD_!9uM`E`iIoplM=R<0tOa
zxADt;&i6Hb%_0p#Ek@jpnZ9JI2qEXe&bwX$cfEjZTnRhfSnF@ZMib0SbdIZ>F$P#u
zwN;!g_;~u<^hFD(w7AZa4Q&-TUU5DHh<}jl>E-96^dy@w9I{3)JJCgHBT+s*X?0JC
zvemfB&Lj6x#yDVWxkPYrdG;p`o!M{?*}*H3ha!(p>cij>7MoQ^SWR-v43Fmv^#h;v
zR+binJh2tt1+F~VA!R?ycVVbpj8aaLc?I<m41t(Ic^HC$&aG~~qo#zF%(w{I-RRyA
zOpsg75tEOD0u`N_zGa3KIltjzB+F4?Q>Hm91gIDy3<SC)4myZBC%^L*Kmr8hgByBz
z)&DmnQ&?b}+IvUM$#V=+;hCCE;1QgPhp~m7?SFFbLH@m1x8#IrNrbn@I7sQ_dO>;k
zT9QYGwZ$>st-r|oGPKiN-%&b8T$YgHO9iery3JsD2354m>nJs}QOstA8+|8AIaQ^U
zBc>|xEX7Gh*V(rvFKDJKJ$G_Y-xdl`he&J06}_BBU@a`Cn~-eV(Nwsh{42N+jAn74
z$a>?cP2ddPvovXy_~WvdyR9x155{Qi_w-RFW4zRxGIF!4`aFIju0A=-E!4+6>&VVD
zG0^92w0a$9b0ksz`!zEER4uEl0Rqa9mGx8~+4>4;sGHywXPS7vWcC%4<R`>vooKSv
zrkrodS<aO$h|g3~LI;z-A4q1?Bg;jWbx8yx1pJY>`d=;pEp6xC7xx0?Nk1AKNBPf7
zh?^r~=Dz}j^xZTDkX)V6n?iiHB^ZL5sMVZW^EaMQEV^h6lrx1PQmvE)Ff`H;bG9Jz
z;9LgNFiU3faUulUN%xm2vv6XSO+EbWUPvrl)Isvp!tAQVbwOBF+jYTM?iIpBPHO^-
z6Sbo<fmQ3X{v3m|UfB=BsfLWDa;|)kZekHDpNP{(5SS_H?Y0v8s<e@GcLeUfND_`e
zYip$jtK6?(a$}-!lhqKFN>}_32(9P6teMACv-tENCbp%$UYc+3j=Bj-bmBD2%;su+
zns#h8of7IM-z|>x+L?{*VY86nhZLTnG%GcCF}!bcs*mT_nF7NnW#ckCczL*~kt&6i
zMV_5ej6Y;HWo127(nvjjJt^Fl{kOi7LiK|sE;9YtamPo2pG8qBgahxE4?Tk8+A=9o
z1LUytP!KE(H?|*aSWaS;Em0)tE_JIm)})r$rhFLHHV-?);E3y{NVGOBRZ$MOd9Cls
zozTa;@<w3Gl4bE~A;zb`ndLQl+4cBN!`<(e^CJE~Oznw;0|@F+{)$#8XTJ4`cj=^8
zd1L1MLHi4Ch<bb5kHf|VJ9$Z$G@pKCP%}N46QPpdH75JiS}v5QO(MC58c`!OZ}2kq
zkKV8a-{cg-4Y}KQtEEUyRhdA`n}$JLq04qQgsHnk4<~uT#V|6qne^VxV~X!>P-vT4
z2iOYzl3F3h_m1>;KjR(hs(057xW8z+AQO!g`4Wrk3Eo9{|GTGYst1m>nZ+|SPc+t%
zA>6iMC0<SHYysI^9VoK-s!1`l(x3(rT`E3hQ%)yzY^Ln$jmm!B840u3xn}==0Hi_h
z6rTWg9yk=lpT1ACe$Mo^`$1gockSgnj8Fgk`HwDIsE&N!KEY@#`S;~jad)sULwN($
zx7Gw59^ES%BaV)5D{{Y;nUDs)|2fuglMhIj=FG3mHJT>eZ438wU9qC!j-6e%%h;MZ
z!meXI5gOY-EfzW@m_9r`=MM=*9Qe%Cq8RN?|JdhR&<kgC5mh+o?L8M3?2s{vua08x
z-;%!Ev9^k0W%+%+tR}>JA?k}=Ikw@HCb4z@=P{@I*_p+(sI)*M=d<WgRV+j83A2Nk
zqb)hr<k#~YZZ<a;7L4uSWnG^TD?prmkuv1wQIq)_tw?f?&d2MKiX1_$7wU$g2Ue%3
zl#EsW&<roid(0lu2WyM(YvNt^%@fj>P8szlaZ$(W(WE$S&|c8@=MZY;jkPyLw@1F?
zik0F!bzDeZKu)3|^(AO{ZeA9x;<%KzMbMG>w~(6RZzjzS6JNI8!gBLy|L&>u#jeNn
z$ejk&an}6@PeZf3E3OqW#3Yi3e<mK_{tY(NOF;-nFT*)@u$PIQ$3dS&9#G=_KL6M*
z?z5f>M-rK0tZ8<Ag0w9lc=HXO>EiC(A<mh)Y|5hhpkJ{IZubWV4l+ZBz*#dWlHQG6
z05-QXrG1Rb#mOlFeGSmEjK016xieD(rVJb}1g<bAKJubVp|q{IdaeYrCRFFIiDu~N
z<I=u76;uAE*U7kkZ<mk5d#j9?ESz<0{zgBCk54x0o)c=jmJGRtb*f3CeeiTAVHv`G
zL^Of1LnHg_2nI}+)`wgb-KJ?s$6Q3m^c`WpXa8-`p3D2k>_?0#y~j1r!3JTb7=K(U
z^1aM%qWtIoa(*a@u*}`_T2~C>cfI(IxxC4I9PlAEyN$nvGDaVle73`0waNPG!4H{l
znRkv&7x+V^q?stJn?|jqMHXdPD_1%DWZO4pel-J6VU6_Cj4sgpl6q45liM%HljH?^
z{J@n9)A_d<R`hzxEPd)Klw7pF>LZf@nyUZqJ0x!E(1ppCxk5(>yM~JIc?VFcK!@BZ
zxv!SYNiJkN3BvHtI-d@2`9e^wLRGmwn%@uHEParvLZMo!nsg5s{_3i#eeHPCS72sl
z51=)O2%)OPsrJMSfo>D1a1#DEK1Atgu@v_=fq*2~<+3?$15dE(8WP3sN_tiCy@1>+
zxH8ios-fZ0T!G(#^37dQr##C`c_do7rE)B>tNm5s^1mDpu`k-0nI(fO$=*mVvYYEy
z9Ndk0NUUFypoBq_%GHW<dNBUn^_2pnE)VlmwD7gDTuR@V|MeZ_wf6oW8NBwMm`+9p
za(E&uMmQY%1oyDY-Gef0)YFAN@#eX6O6c;GkRAm)pko#V742bmVw}ilrDo3S_-Za)
z&1PT>%kxmH-w!L1{v_Jn?Tn3{`#}ba`s+Ua9P6hbjh+b7L6XPivkGRo_0LjCT-dxy
z&FIx7c@X;gTjOll2&~>)BQ!R}{i^T?BP5F)Yu(eim)ey$m2k(xVJY8y`B8k78_l(z
z{=+zK9MNXW%EfXoo+*>gFj8{~*9{lU2VS*&(tM8_1PWdjNO+c6u0-EHu313xpf?bK
zICTILrQ{ZF*}O1&1Pi%>f`VH&nntga$Z-E#P8YndXJCK|tU|%9m_w&X>(k?WFaQKj
zkR#wqV9ajR<l|X3sK%C<i+}OVzVW`?LME6@{J#1l4D;``W=J4k;PGd_i2S>;+-r9W
z8s$Am05nq=0{o!kzd4BY|Du(R^xJGWLlO|H<xeND8usDNytRu5X9Fl(U%}AgU4RdC
zEN%@j6S?K2!BPpRAzu<~r<NR&uFh3?LXRJb)%$W`g?#g8YyZZ|Q)x|!*CUAOk!eW1
zi71-54PJ7dFK~^J$&<a_AT^*E7T-bjAMNTJ>M9s`Eka|{K=jqg)$X0rHDA(}lc$i_
z3I~&+rnk_brDyf4s4>hU4h{G22Q1%O&2b1QC98BB$zDni5M`^$KlM&6TiC@kT4(F)
z;#%z2@Ah$Uz*cd6ZcQ#aa1%qHv1jWNMON)3PK0$9C2-VFAXLdZuTzB95{&A_>{%m^
z^AgFhshyrl`?rxJx=y7*DYseNH*OY^L~aqy=?0Hx51vODjqYOiXejp{xRvD=q}8tz
zHYKwLANPKCel%`-rY<Wgsfnh1K;>tS{j+OJkjTLgqu={SLbglJ-2|mRep~tRXcs>@
zvEWyTJuSAAXpLqWVNMuS41?U|#)9sr*7JRR#@nAl&zep#Fl0%zOnt3iSq4R1@1{u;
zDfBD%K4d#^aMH$1dx8E;DTWtBr?=boS&iMhe}14GfzG}57Ek_n%T2o7?7CmYz!MwR
z#^0S8cX(_`9D3kiTWVP6q!4`tGWF>OPv=j9+-6!a68m7T25=>#w>o%)h`DX2e)v!i
zkGnI944m4fM@e9r=tFP87b)fZX8`Pqz`~~G?$KwH>*D{5TMza3KdW<Eg?vcx)V}Xo
z!J7IKuqZg+fx}+J$HK++6+V#6*uxCYZCGx9!Cu540);trzlcD$1JF2o7vphDSlr~*
zzg@}d-1Qlr2sW$c$7hmk2F6|?QzELRJ!#iZOl!ZzzC7}h6k;RP2nckOVz`?>EE{{W
z`gYvBEZdqqcoowZrF2uVZo9p6nf=8Oy*=Uw(JXPJJ^8s|`%DE!Z%Q--XZ-HZOiYwG
zl>7S!tqIRgS=C7ca#1OXm)IB!$#{YTWKl-%5>ygq2m5-dX|=W-v=~2-iX$2=9eLIt
zmT8%}o;~CvmZT>dF{cs0g?&eM&SoJfFK^<$ZA*)BMFZf~3f7|me3lh_d^3#q*_W}i
z!>+Z2=#K#!zWuJCJF|nZ4ggw!VRrSkW}X6wX0g#R3*hAf(X8iCmCpMd4Sp`Ezb7r-
z3_f@Sod?M1xOw^c@OU^T|1cBxy+fA*rUIynKobJOx){C}poonk<KeE>gkytMBTYZL
zk<$EDa|>9)ZNgwTtv@J?7@yd!vGP<iLwX@NBGv-69S{U3XJ_T;yJjdb_IMW`PdH%&
zK%WDl`441vE!r{ZQcC{Bx#z};DHmf2o7tx{I=Idp!8rbJg+`xK15jLgm!HVPsVA_7
zq&dI&&CH(%EMYZ))Q^AH5x65R77Q}BMO>4V3>g3L6#Kf$@I=vHMprXsd2TnfP-BFt
zwc?w8|74uR7{_DOrA_qkg#E{Equz!|I~#Vvopi_HjtW>trMM}oq>a8`o?y#It4aOn
zDP$e8%;egd**ITw_%_#I^@Hp0a!L{M8?qw%4X1hiv87EsmlwE0=NpUhbHNEp25jCE
zHA5T^WYHy*0>ns_LPjv_f?WJQE(K0W+zBYQI4H@Lv|(BFk?~q6my(E&W7^jXXpCQ&
z3trrE5#ikbLt63p<X=%wW(47ZhJndAn&v|hLQ`jycDp#TsHHfje^=qB-%cc%m!ex^
z=;_uF`hd%fkb8Y19)c$vX)2EB^M`Yp*z}v{)jDRz=K$3WlnXgaN}bWpx-pFmyz<<C
zVNx9<MdPnuA1JjQASCUZZFt<V%n>a%qQFocMMaVjKp3UVlbpk-{fwlW&3bi|`LAK4
z;3I=SkWzjE8EqI)e+NJh$Vf>cucH{CqOMeUsSKp6a8+Df@A)@-oxHq!`MVIE5E|2y
z`j38NV%&{^{|3^k%$BFEX*}A%Wmwwta0O0xUI>N(%<3l~i=fR0V~Z)!_rWlN9i0Yp
z$5&HKGGM3&qp#bltNeK<{LjQ~$`bUQw^@xtBFG9>Fy#i*#B0z_{O7*7JL?Ia!~(+-
zl^~+Ool%U9jR9n4(CFnlEqc4j7ex1swn#EF{_Hw@rtC8blAH2aa9y{RC?cJ<s!JjE
zQnYK5*P`(-;O<GPm(}T0c=}RBCZRzh;$W39<=S-b=^H0s!iMXM^vydKWo9F^9O?9Y
z?#?zss@7p~Mr4KI=^B+Ar{}ftNRP@)=RF=pPANE&|G@PcLG&r$9W#z3ZlUs^Ip1q<
zXAuv}R49n*9(SyA!QSM-V%qP!$;a7HjIG4ENR@cH`#UR(!+n~OEnUEqhBgq-%UXWm
zsAt$v{bN=MUa|kn4LzE39__axMJcr-EQ6w_@{jgjN2I<}<@ZPT6Fxage2nV@4<nin
z4rGt5uQdz|Zv81d;JCC71N}q@`G&y`^ee+@qDRne-bS-Pf0N;J*bC*^!}t98hMo&V
zZ(0&m4e30N28G$R85F{`sU?DMELt;uO{2f(VCD4gXdggEH!PLGp*gP$$!;sVsY^V)
zAMWdj@?=~l%y+yV$(kFp1HU~xs>}IJ9vpFXRk33GPBp3Cn;4rC7ri@Am{u~pu+E<$
zJ1@AN?`HK_i3VHJIfk1eVm@QAKup9TEVhu}pf7kWh>t=eN83h&DZ3yI<u~9Y_oROp
zYh}j(``9Ye_g9nCvv7P&-1L?i<^Jx3yTfY6Nr^e#d8<-6yJ{a2X$ox+`p2gTNN7pU
zj;VxtYRt~PcJ-nWSZ3RfUwD3r$hSayWzyRrv99!M`Qn$nFTYEzrJRSB61vJ&&xuv$
zDz2tJT_vyTTgs1Y%(EDQWO>JqJYIAWxJKV(^@fDYk=Ru29lxwip*{J!<FX{cyVBic
zoTZ>u_dC#~B9_x#L<Ol7vygEpMbXc0!MdjT6Mxfnh3rNz-}(=H`atOj6$~U=_-d^e
zTo;%%qYB6CBsFsE8*EK&+{3#w$&Z2$5f2QdR7-+%6q5Y~*h=t1U$<A7B?=4(m~M<3
zcIw3<#hDGC>fl?rRBkJ4w9i`DuIV-26A6yhW6wBRaB)YQVy$ogO(RtRsa`FrkuJ4%
zBY|rN1g{V>69qL|7u=+J*qKQRPBusI0+Z;tq6RiPe=ea6ygWsGU%a!N?Ao$K!Al?(
zN$PHc`0@rl-&i9+I6pS5MOjS_k>%&nBi3A7(+OGe``9(~Q3yV@ma{Vz8EK0YC)T8+
z%-AC9r#8bOe=~<dei2d82jUShWM>ndX=BxM%w&)y1<JN+Bde3V#iNpPT3Bq!qH*qA
z)9Q8K4V;)Oi*tF9?rB{X#&=$3M#wAsj+P-aO3L7Qe4_`pScSYu7Eb4=G;O8i;lX(=
zyN4Xxt~L3OmeNs=+2bDC3c7}fd~fWN#f_D#ke>pw7MGr16v(}^HFIWo_phAazoq&o
ziY!a+VHgw{s)F+La%@y~kUk&(Y&k)Un$NMqYanb%W`PZd<N_uW@!V&B20zv{O+u+z
z0>K;*8f41j6`4czX(SB8u~?qlUyY<nB=pUWRB;oRpY;a`g^Llo(tX(sS8v4oU1d~=
z)jwP*H{DfzK31-Ks9t=d#MMRaFiu{1Bd_v+W=&9R&883cy!ynR(ci^LtW^Qsgj6Nl
zwLMw<eV1c(C274cl3Gl5Xzu|6BQHnxzP)6jjB%TSXRRQ%wdv$cZ1`Zcyy*V3E;4Gh
zJ*TSB2Z!6e57#kp9qnnqY1MZuKJ?sHZbv7XNoc-5$dBNe%(|vW|C>zGk?nJG@0*oo
zD&6r=q&10*1=PZ++2PFHt4AbHLR>fqghZ0$x{=q=qOH)JUx+R;Ve|#)qUJ}YU_`9v
zPa8#KF|JckrO%%VzOah03QDltPznC=m_onK$r4oAy>^}K0VBw;n&p=J(=TKHWQJc+
z#}ex<yem48!K03ikdY|a4?fk!oD*e#NFtSo?qoGk(9D(ZcwTxS;vA0Pobf;+Y|Pw-
zInX6W9b2L#7HQ6N;=x;Y+J44MeUj@4c}o0~-Zx!#`UUyqYVOm{Dxxl_I>WK~^P$O2
zGV{-kUE-b#pH2SpA}8dRpf9+n|1$Iyui2UsQ&1}V^A53-^kGS^ro6<fi>x~lDQ{&0
zVjgovmM{{Cyre55YYhASAtC>(>0U}G&-XNkrG~zZx1;+l{)fG+ofucZ2%`1gE{70a
z=tEAyJS56v0rC~o6B3+(h7VeGja1%j=wDl_nGOgD&+zF9DI|i8m4e%R%o}$TGag|1
zui6Py*ZUj)#z?ubB>Gl@m4rTurn2CgBBg9l3M%`BFBu3}Ki64<<6e<Tt+;4oaZcs0
z<;bhD@K6i<eP#k?DxR0DxI{SX_&K#+704ECv#0dPA5Ro8Cv9opFJ2WKyC7Jv()YZ4
z&5}G7m66Nc7e2R9q(z1JXECLCIzb&TqC4h=K5Hi70g@%coJ?;}&iPm@T?U11q2v<#
z(>})v>#vP-i^LVbm^oF0S|&i}0f<&tDuDQ$;B3vqQwlc%l=Ckq%ND^@tfI1#5ycO3
zk-!VED>aP93*N7UC!y8A{l_MjH&_a;2{b23oZJuD?lA~t>m8)EZ35S-<rREp8&=is
z%INt_CXXj)IF}H&!>Zg7_3W!&c>YjY;ou!wqA6e#R)TAUJH5X{Cmum@8T0BM@c{PI
zgjen|dX8_kqhnk1yf!uiH4Mb)g*jv*XS5VvIpfl`--+f+A|-z3z+fxUllkkNOSrP?
zTpd-js<suQ;zvEje8eopAa3;Zs{QnMrtZ7WO{p@b-G{6i!>g%dGrTOcZLUT+a%gsM
z0-WxctAFA3^C}>g8$Q`wuiKwSzqpvE_6uD-!kRCc_#SH8J?6T}fvG06KA60OWNA;4
zH4{co6=%{q&tkggzA<*9u;1PFJ`ArJBRQbPcB2oMijQZl$;BE&Hcc*xVqNr56MNt^
zC8$Hnu9JFSPja*Q>!UK;DgNC+6S#dZPj>(nv5u~TwhBV+8E5`M)uj#>aaoxIG{btv
zo|X%PDn7w9|1Ge<&m;03+Wk0a2Wa`OkQMRkF^6%iM;L?Km4;2WdhZJF8-&gF{ySzY
zO;2KIS}{=Dd!SQcK{nEewwo%WN%-K|WspA9Bt(O4QuyN1p_=IU${Ckou?&e8<>||;
zC4}hJ0`DIth}S#IvBS!1`hDZFqL{ucfxc|tu%8Q2p0@voMIqy2lk>EEr{*_9`u3}P
zW;1A+8Hr0>P(>F{-p{9lkHDj5Z1NYLXoQN7uoFX`4ihKgzk?07Ap8p$B@O~B@o=TL
zE48%wrXKi8V0Z>XvE7-Py$Z{IkP(5$B#`5&rm_v`nfB@Bm;`CQXSL&*kbb>Ezg~>*
zq0QG@oR#|Xi(kc<tYvwmGJMgKZslR8gl=`W6nchC6(UWERVd|_)-#O;n}-i5>j(nb
zaPCLXp0TJR3EZdb3Tzj7;JeauXJDjj7*oPgaosko?WCgnSa2hi5Ieb)#NUU1gnBx_
z^y9{<SzZk;P`|q4UA#ZA1uJWQ8Y#^|pPX6qQh63nV`@Kw|Av)mUm>r8{_dz+*AD7!
z$)TCsWJ_2V^wM9VjaHVuC6klcb6rjo#Xw)kjm@`X`Z8IQUg>ovr%bpuos63kIsO>{
ziMNGyrtj%f@O;el-mQbe3_SjaGNt{Yk_C$xf6X+JANgu2a0bP-gkcaclp{DVm?_%z
zzH?ZiH^^?=?DjhR%Df#>(-@FO6KMa5vM?&yaox{vJ-;gPS6F&(%Dd%xdxn*Zgf|qo
z88Ct5cM2WX-R})jQF(n6P?^l?PLkooxai8BmeWGXD8YD5EA`xJrFKbzX!9R?x6|ZW
zi`u2yz$ckfg`yf+7V*0ZC%)r36Zu3w9W<BtaY1fu4Ey<y`ZPXZE?F$Ia<GYMFcCAW
z70EgB_KC424yL0?^$^{WRct^%xzmG?uQv1`Vl9}kv#-Y&I&g5HNCi48jIuro+B^o2
z3RoP#LWRi)OuBaf4=9G?<>kvwV2J>P2bEF>66=0`4gSHS7in5uB-1;OgwBr+3_CMg
z#=;V`3F>&4etRR8$cIJ>5t01hsB-p09Ye(M+HssK{VcCnjkOtZ*|QK(miLY7fH*YV
zO8v0^K?bHdijScp8PW>!6HVrTIK{oJUbH4_{)3K0(TPabMWLcMD`H6h2wR_VFLx|!
zvki-O*aQVvaG%R8z+ODX!1RIQ6K6dzWy!f~8hO}v8^x#|^N*VRz?@@?lcwB+*L_<J
z>$;E4TNiAnFP;i<4sAN3^dsEC{bY$j%WZfdFOR@^o!{@+8!Fo>Fw|v<gKGDj4l=!s
z-C8R&vhm)bvf;}-M>oVWV$nIei#VsARfE5aaDu^viDxJqwD+mocM=^p?wg8#twfwc
zjL#f0UiZ<1FY*QL-I263gc!~XJR-hN35&neEe-TZ{d}M&fpJgEgf_u3<H{nN3O72g
zB~u|71rF`tu0Q|W_sXef82#0RtThc?k!<lE82UQsqzcgz`&5l6_tj&M#%N0gWQC1v
zVcLjor+oFo6i$D%<=RtQX@nQVx`eKsXl5v>{xOV_S%fmIMl%3KpS7d{r_9{U8hNKT
z_e-ys>E0--jG5wdlaUI9_q<FkP>oUtoD&Eho=})l@or|IVG7=RfQfKZaio#Vs*bW=
z-4OguTt=nRX{zRF?6DLV`_sFxvKFd*mQbuqV_EYVnD$u-{!d|fU_4`oF0@8EgW>r-
zZ{0`u;)yirjp~vo)xo}-x8?UyWY*zi8a;1mCRxq$YQ6bG#0|wTY^{{5MNXX;3hk1f
zJnu}1?=AKxr0R3~LVz5P-sdZ)`Z-zjFAlgwm!D|q4nplL8dK|xtEnrz)Z7JyoqO86
zPmylQ+>jBwykzeCy@}2jX6yN#MLC`zm4%HGHsp*H;SpPBSiM4mskUIogUXOZHqO;O
zmfG@t&e)*&cp9I0X*@N2&A5-AGOWG!_#!)TvxSwFRqwOz4s>JNu-dC6kB*LB{rcj$
zAalU{N=c~;EN`%|ux^c_|6Ml!1HugZKUYZ81pT;TUi{Ukm|(j71Xj)6iPGO-<hm^V
z1i-J~U@lL}C4-oXPp_fqfMiczy@Py;<P<EU!efi9yfIgShmy2YT1mIw7P9h`P_N`{
zRX$mFo;X_lPn@c0z2@D}^!AT$<W|Lef?r=2DHMI)Y9)Fs-1c$w^RFbOtnaH2IHAgS
zS@fb+LfKf0{WM1Z@oSh~OQd7qmUrhTktB>It3W!3hldIr)p}h>H-XE?ERCmZl%f$8
zt)CPZ81EeeGq(|pnE*Ee?9Q^*N)V|TN)44CXTSmTIzL<mQ(K{b_nGz)83hEK!LwR6
z{q^SfC&;A7-L%aQ11ah)YrQKKDA|%QF=zcQnjd5R_u2eKcHRR0vDD~u=3_$>TE_)^
zuWv%$2D{7nv~hX|tv`3Pzqqb<P>#|+rxUCB5p;CE=zw!aSXB(=`U=H^Gwk@29IL><
z+C;WCo#amDj4G$=rD=#;&rdFM;cb&sk9&;k_fK7RWN2S6u;y9y^;Tw-<8>qFqsb&B
z&=@0T*1CM1vC3_6WNv>=_becH$aqVNVDd{a-dZvDV|-%Pa#$z7PAG_IWgT^{y<2||
z^8bpQ$Ti=7$Q5|k(j`pvDyP-6%Sn};GLa?_5IT?5z9g{I^&1jhyKC<C|0y{Mkfa?J
zS^$5emGIbyI2h~SO_J&0%(0&dHjB!%zQpvmc4EHU<=qek2gU33t#R)$-9Cw?8?s^a
zuGfxa%D3n>?B;*Nvo>4J*u|2CR6zNwhx{0DQM%;}fu-zpjlIcRiu=Im7zcVDV21#q
zZdwTQ2Gg!cpA8&b5xr|Bt0a6*C?z+tN`Jbsl$^aM^|Gv6LUSRm!HDOZ<#YDT{t-tH
z8n$1SI`8WbLVYvbM@^;)b!#wWcz$10p{H@}K6Z_kwP>G8m7+?;9PL&+NBHYBlGMob
z)jEv1t9Qhl{V!+B&F}5Fc&?{stESoFUfkDdT&Q)srOCw}R8@taQ3GO5bWnJ67y{Te
zDAnUWm=gUj7l0UPTh~{<bw`Xjl+olR`CaqqP2TS1)-U&}pA|TE6W;$w)5ym%W+P-M
zHn!+<SC2xs0i{t{?7;ltoxqG*oBKLbgEU&#txoTDB7_Rj8;SO)0=p%$cRefc3r{m*
zkM!GoFP|IjG8~9?e2OH)^TB9-^s4&{&Yw|pr`FQ#5Le1}lh?lk8gX`bcwa|~bzk3f
z@o#K0&vIftXd}lyB}9y2_MmYurp@|>81H{QKxIjuegHNg#;!k~5S-dYdoG5M!Bcz7
zhbMVFq6Y3|Ey#Fx&2ecYCShK~n(5;NjO|;wCiJK<S$iH0wz2&HWDi505}@vs=7)!e
zFav9VNab6XSc;WqHm4l=Kn$O74_<)iyJ@^_!OF#F`BvUBrYY?Uq45yzwE-0v+{KJR
z;vMY4CN$?=RN_?Umoo`7#OCU~)O&oAYpfjT8S=&-oGI@qSw_DO7VykyR&c@KFG79m
z4?LdqqFuW$oohQ2F~`h*ax9;vOW)&i5X$);l<B!-)9|9zam~2r!08e7Uwl1D8Y4wK
zrc;cKPa2{Vo^sWA)g3mo2nyS33FuZPBVvr6_A%nNv$9gAh6G$+4AIZl=In%D2xzM(
zIuLQkWo3EyZ!0<76t34n^Gtsjwo55IP~<XMH+HN~e|(H#n1JI=>J%4kcAqTk<E!0&
z$2=GPQ$!`Q*>`EGLV8CKGUzp5z9jQ}ql~07`;+YNJg;AwNc9&a>LZB=%(Hd+2U+jN
zFa{G20+580SGp#(rJ@pw(Db?jcWDehK1<en5ri^Def+mSY^vvGmyrIZjo%zssb#9B
z*%s~DO!eznD$xp{Ib&SMEC82dIFVf&xL1F-r<_-l^pu2ji?kLY+)A(u{Cev((#39x
zQMLDegC-O>lfd$)h15QONR!q5qW=Tr-71FH;Kh`lo^FKZ{s;{N^UCJUYJZCIq&I}$
zmik|BLI0Tnks#2J`T}zgK=o+8+c520U={TFK-^E5o5W{sNu0BKL|%7{qJoj~<4@Xk
z*C!SK3c49nS{Roz{W7!9aQK@if~BJw!<g|T_ma8#a^HEqNx>McG-&z5-Q40BXIgLZ
zA98*w$<8WbmEv*2;{5?37zb5|MReqKzv?*rvX|?RA7#xCUhjrqjlO&?%{u&)A>B;!
zc(}6tW90mw&pYiJTrO;t=sQ}EB{`f^Av-gisv(&};@*HUNyMZjMT!LNOoiAX`dhbc
z7P<W8#T?z(t3s*c)cJAuj#ZMnK4TgcW}kVT{t(ws7x~D;?Gv%zV$};an1!vmANes&
z`OdPtOmE#xw!CUfdN|%_iFIyw5xgwF68}Y~tiV=F1?4+(2Q(INh6%!;@i#D2q2PW3
z2bnIYa=?E8_-)`B2hut&;|6`2C;Iw5Qx9RDiH?2Op%s;^0W>&Zeh-}WNZUeb4dh^y
zn`2oJ27!R;7FoUh`m4&JO@lcHOiLtSpag>t0YJB<d?Qnu@4V|dyZ9yUcUBR8`C8<`
z>xFyA%qQi}ORAsU)V-c~UOoOQp*%15lxnE#h5S0=Pp`!LhTmpV-c>3rnAuBJILw(M
z7DP_Oj(QOs{AxWH;@ZyAs^fSYI!eCs0Ncdt59#$*@3pS;g3V56%H0j}&cEaGe?<)+
zB6f?~)+z?Po#f1>bQekSLqSf86{HcCjVl#0ly5)CN^xlCI~V_?L`R5GW^A`P#CBMt
zJ)ovX<F<R{>qj}LvuG5RlB!p0PPn?<EgvhK>qA5v(7lN>#^J5^75Onj&uKOpUBJjw
z?S(Q;u+g&Pb$BA7!hSN0;=}DFt@7<n7Ji~qqwk{3HNiULNLXDk%e>+7=bJo@Sc*W9
z1%UmyCwy<laC_6sheBX(A(+;I{Xa~PQl)&on3BP91c>H<-h;EeKOA$QdNGe8<vQJ+
zy99QCAv_a!YfoPvI3Gks^8rQRy5Ho+3FK42LnRxl63+)1W(*}3((Fq8PCf%inRq4x
ztVn^vxHDM}milL5d@sNe5Aau<EInVWO?(WazZ#Dzh7et9gx+J)N&n4$WP*e!@u=ZL
z$e{Ua=jU`->52%2GQ|0uMh92-eCR7&8=l~P#9QAbFvgaM)0Fb>OFXjG65`K4dE8Vb
zo7C9deVF@r-iiN?T_Gxt=!_?pP290}OuFO*G4ezj491stjFbjlCS)=~s3Ns?dXL@|
zwFgXM5s^6rky&$k>Lw#A;G=v;NwjAY5@{i4x;i*F)hcO!x++wU6V)7=T+P(<kytkx
zvtC=@0XLFj)H$%&$c1ObC7)+x@nM~RN<<E&LUee5VC0Uwdv1+~z&#Y1fZ##nK)DR`
z<i>!?OuQ|tg_wuQq>r8}*GNtzHMg02N)Y25#%G95Kj{guE1f|aHuto-Oh_4bAuMEh
zgZD9!sw=;^zvcON)pFb`xGUzMRfo#52FCrj$?mu55wNqa4pW-*EEeGr+-jL_$BEzy
z3-{B>y(h&`(0<p<l=AfS1c|||6YokdaHN22vrD8Y0oFV}fCT`9+a%+l{=2L1T3||H
z-4=`q^`Q~aLvDHE5G??=9%zuzX*?D{S&$40fo6Z;ox`#)fZ+}plsJP$dbo%o;3#{*
zqJ&$qUw$6k%OEvp=&k_ldiZPXVTZy$FkJl&Co8;QHTVJb6(uP#vEa*bYxqgPv~GRO
zbj8hJ;0XpxLS0}Z$^~{eN*3lFL&P|cx*LmshC`Vn=7>itB>`T|Fh%i$s}ojeE?)r@
zN4Jz{DAu`ZW`Uy3fX8m58M+^6qTzf0CuVkv^Kr;#`93l>UbcXLXM<00$iBB|gSBJk
zz+F>$bLJ%MRWs|}9=+a+Fjl?u!Mg%k>%U8+Hb+Vvsh?IA7xgt1l$eY=QaUM1a;dXF
z8gtNOH+-Gq(@TgUGBHTJ(K>s?Nj(?Jb>BLd`=q;jC8fQEzC@x_zN$<*x%K2o{8{aF
ze$bJ!*2zjyw}<BxPiL>^3s?EYt2JMhzRy^Xs5~qSo$qBcI7__fNOE(>T`Vydwx#@r
z*eCp0<Azi$*vNo~*gaZdVUj~#?}s__LWg2<!GW#aVvS7JqJly6`yy3|kV2XpeKkzJ
z(8iA{7#|2ptyNbB|K#AIc)c9YoRxXn%U5tL?}hS=YAgB`byVkz4OfRk#$Ralg8xXS
zi7Z!|eR+v7YxBzAJ|(8-BvcadutSn`r08l0Ii_EJLGj^nPwJ@PM0!eft^1u9rm1&%
zl&PzpJ1>7=z8^AjUL0$(sAoKlvRIyRihl59Ng&m74QRFoeVjX54it;ArFp+iyxYFa
z#L{81V!dD%((_-f()AOG<|Ae%)=9dvxe_?&lZm_xZAVV??d5qJo^kjW7F^`cQy4j_
z;M74aohSs$weGWSpyoMD&LQNlM(O7E(FeUg>XoZw+=tA+ZAj;ZVS#l&uxH?Af$`fW
zgfRI5&~<AaT`mvZi}OkkK~qS_qA|ElgQLeSU#X9T_2CB>aMGid+#E{%q57AZmGw91
zdHw%g{)Q+yFaxlk^AQ+IrjqvaS&4;gjuvXB&2e@Eh5Z)}oCZ}zu(5vo@4c6;wgnzc
ze=_K_xQyzLzfDAP+&f?I#g{6xUdEd_C53CYbj~=(eCKbWq`kFkNz;#OhWaMPzptie
zpIVNNth_=MRwg@7x0`f+_``%q_nFWPp>ZeS2y5<y1kri>&oKYYC(7<O`y-Fm_5`gQ
z8_2n0>Nv>}xydjrn%BE7=)a$Ozk^s#IZB%-vt8|%*e36=-=BM~#Qu0SIiXRewd?7&
zf%5F@s6iy|#<88$wU_+o9Q5>^SuA^cS5D~;Uzwqzpf@{dG}^WjUpvhPP?<!%jB1M6
zvM5M*`t6L4F_fyBMGn#RWEs7r%T6*G{G*k&vBch4V2T0tO@a^oC6`G_U30PJn&`14
zV$$;z76E1H)6cd+Yrz_HXeaSzdo1kKUK-&a9`4y_Yae%;RZ$MwU+b4@#~vWEB$asD
zA$6V}ZMx@Gb8RVt%}x~Jud-b6nvpGu=C|MF#5rwcW=E!Q8chU|U5qxPjg2#h&x4GU
zkA9T$s`mKGe4RTT*f2?qZ|N0ioId8zi((op7H?UgvucP@iV?Rd8&10nn00$^`+>#=
z%X?|JQDp6X=Azr>Y?q?rllK~0NoMKt_9a#ZZeo{cRx$Ux?ylXNVu<P>&O~@?)}9g6
zOm?_6ApLiLOw-)F(tL91s_dilA!VA)SClREW6vDc`G?n8R+S(5-Sk$*rt#Mz-;)On
zjc|;_yk^S9#?j$Eec&z`=E)K|z&SPgN?|x^syvg!d$ekVhim}hOq9aP&oq)LEWPu|
zlk+!s6O1Us>qdG%ee=@B@gDK<!gj2PlW|=Ly2n^J9+)X$r2*+Mhet;V@$vlp{E#c+
z1AXZ>9K)au0>@<zHnt+I>^88dff;j4tg5PNF|dOGp@0CIr*Mp~tgJw?2#oo`hKNyG
z`gc~}(Mn)5&<cQO;tJP29P_sUM8Ff82UR-sCJ<F*dVK^xQ&m+3npa4^K*f@gS^-z=
z&56=xD6m242p_6{Zxl{y?wr9%AdrD&sb;~{)RgeNhxv-}tsD||A#mI{fwTgZIZVJa
z!CM=)CPN_G!Lfxt`aCU5X+I;u_jrb)yT$5Ef{Fua-KJy3>3`fc7R(GYIa`-<ryj@7
z-RK8BcFvX&M(3I{t;9^U!jfOF%T3MN`nCSeBKrvOj%90+>C<Ce7GCF`gsr5_x@Ocr
zB0X=*rbe7Uqr0|Cm{Ithk_?%hh-1#9J>CBMOqVb|Lu60PD`++nt^7>Lm6}S9-{y@r
z`&<Z?WQhxj)Zs>&m!cBJxrU=wr0PKQUD4pIpz(?i0cLpwU3()t?Q&?mQ`vPY4+0)>
zm6>ly_$<x6=^*$tmDtnnyKP|?fW|&)t0v4()m4^7_6;%SwO0&vO>GpZmwrhM!iSXO
z!$>g?e&V!{b<%aNKlX;?tZPIbm5Yh-WjU6?Evv{2lX0wn9}#iyBb;OrUiMdveq;|3
z+o#`t1WYYZj$Tu{&%Vpd%!K<bJ$<eu{Z%~pSN?{OppWm~IYJEvH|w936^HCLQRhE~
z?sKmEjS_%tF*2G%#S9fgBe29cbWzd)_^}6iA!v$gfIlMi))r(aK<IceoY4qkGssjG
zv@^V#OBH%O4IdcI2RCocM8a)f#Ne+|>H(^wyl3zi0K3Cq64E5Ds^Fu6VYtVd=@F0S
z``03zA1yjDsEka?v7hr%hXFSm&fL%xSAou<Vop<e?66syiPlr@DEZi07V>+-#0fle
zX(2kw$Bn~=n<f01=Hr`#<u7~RkZz(jy4VO8Aq?v&^0R%oT#LZeGeDT_N#x$;A~8-Q
z@y>Zkkd(t5W$_SAQYuy_`{=XAv}kEAYX(Vwg-l$hA3B}J68qBEL${s-(mO&u;>o)o
z<T%Vq?ie19YCjWc*>S6nRL%=H-rV>^uewc2w;+o?H2PlJvHm(_=<_)C)I*q{^g5?=
zT?ON$OV3Wkxr$%+$(l0~z1;icU?P}YFKryJN&J%m=Vhp5H<v9V)wzYOD-QV=9Hxo2
zCfse&dOVCd;(?TGsRLeGi)=a{c40oPO3AVBMP&#{6paj6oz1dwzv{UxNEuYxB9^%v
zyO`1(d@S6%k?j;l6iHp)Ia`0HpHyyWXXVBVq^FUPRQM2DsYQrm%k>aZ|9vN-bn?LW
zjm`8;HC$`;#kj+_5_XoDqn(KZR3BMKh}=U=Cli-mtYR!@Ma0L)vCF?GxuZ{10$Uwm
zBo&CQ<K%3BAfj8p>HDu<P!?n+CEb7C5e`%LHnxi~yw&g)XrlRZeBzRlIz_Eepv1og
zC?Eyn2KG9z&yJFx&ALDa^7l3(p;y1Qp`&w$k>t_g;XEu*FleZq;V5l*-aF4&3q>ZZ
zDI<OTv%`KKwb)~Dx{Brl_oeNbn$lHFP|=gq??WR<A>v?KZgR_24Od(Mo$8x91bDUn
z&xcoMq`xJ}bE3`c-~4P=N}JKrxu=L~m6N6HE;-ncF3~}pM)k8PCpOHEapLPl#=?{M
zhtF}GT}?Vz-y+}JB$60+@o*ID-jEz5_PCDJRlInPvFXjlBAv%>5MCw!z?Zi_9bcRI
z;{|Etd9U$d2gc-sW8vte9L`LU!UDTArq%sQR4SLk@9&Aje~#6MO$6u48#<yKYy5a}
zXQa`&gga<JR5`@hWK%OTN5Xi}m#0X2j=_^wz;FE+IXSUVxyA42D;DYu(WmnmCxzdS
z2V7%ac?MtWhkqb+DU{^gNMq*=%^)d0;!yuYXR;fhOSg?dn&j{v+1rQzGGLf%Fzo~C
ztek>919s87hpRZb3GJx$-Zsez=-%JU<8oFQutq}ju{76>UGDzFJ}f)SrA3fpK=CSg
zy8eJ%FnL{%hU?o;vopbj{q8j>vR4raE&ZXLBWcbhgzX&&6L`PS!adYU_Vv$V)YORn
zQ3;ZKCl?fok!7CnNL-n84t7KT;5>SR-m(5oz6;}Aoh;Xbja<We(suiNwqM-Rs0Jl}
z@H<bsb2y9C1{nw-)zs9)p~Md-V7ztq^t(A<OGN!*4y8UI;!V)Ko9}rUWKo5TfUAl>
z+(>ZXyd76e0eYDX)cL?`_M0$rSM+dFzh#WWZ6Wxd1gkw1CwGTf&L2JvjJq&tD7jp&
zIwFW3eh@rAow2{g*<dY#^~abdKsaE)hV}NAYn3YMT<{R98K$`X+}}BKkohe8h#xzK
zXO)$e0oVhrO0n+OX`rAo{v{;3@#4qM{)<jae>{>-qv=R+8ScJu6viC#+>X<{=jT1c
zDCZs+Vd`X^Ng(!3Z*4hY)bR&6`tlmkcp09AyJJilOd3_Vr9==0ef|E%=Hc*L*->Sj
zlQ17**RX&M|HE%>qjp7xq%Nu7ah1Z3+fF`fyrSRkyqZ1Sa}%XNtLs0;CbpJ-L*qfq
zcaAbtS|k^o5ue3@yRR2v%XX1xW@4+k_xiHOxJDzxxxd8qli+9dbOW;)Lf&-5T{;td
zZQa#ASN+g~8DYxla7#awfsBPLz6VoOyr`O)f<6NX7l!Dc)z-<Ck|SL65mkPyQgzO#
z4<i*|)fH!cxr-7_{*K`t$p@pwJ?@-rI21B{4j&j87_2k{sXJOk`L^nXCXd1#?(eAG
zxm%j?ZjAUY0H4|+cSyLuZ&yHj=?QlY_}w+b7hhVxc{?UVohj~6@H}W)TUk+9`NiFM
zJPO5w_4iw5A>92YK96QK&j3q<2WSH&%kA(0<}7%$+$9l2J83Y4<+0HQN;@R>1}M{b
zu0Rv{5tJc#UOb<C=3wkH3u<HxZ#aQ2qsraQ2f+3cNQ&U6GgJMQ**mt9RX!1Mp^r0T
zm4Y)f*(S}j*n4hOL%W=Nt<^Lxhlq&rf7p5psI0fH?U(K@>FyLzy1PR`LQ+B+q(cxS
zrKLeYkQ9(o1Stt6q(Mr$K}6{i@SFGZyx)1x8RIzi*kg}f-rWE7Uu&*8uj_YxvcDk@
z`=xp5>MbgSdB--?hmyy|{?`<~(hu#bJLZe8(fshOuZ!2YnK1ZlKc|dvWPkNcdLsU8
ztoNZnBSEJk4Oa1XPf#gUd?&^7LWusW)fX*2S!{<Mla$3<;xtOs((<o{yM|dh`OF?)
zal2W4j1d*oU+q_a^BMy~%QuwU&G02nw%h*Gy9Bw>9BO`n5-nVwHiwF=BN2~w)<=GI
zRGx`P`%|+oYPX@~$^Y^HoY>)8^f%(x8&0HKS8NSO6bhzT=A(LR_fd3SJPqRy2%1fc
z(lH*d=5Zi8H>lOqc6dYTN&Z33b2&I->1ebp(#b_i+ssDqyL7PEC&8E=^4E*mIvjoZ
zYN}CuIUJH=44vq$k77vc(8I-+TeZ&~xtF}T6<v+ux5m_PIDS=HzO|=GqrpD7<<yo~
z`j9Q{?BmSR#3s6_(#l2R5%G`Ri!aKKlHO&L;q3cgN8vf((}=`V3a%nRIlZzs`k-Tk
zAl(JH`$NUS!^>;-IRv`=B*apnGX_sXJDfXU?vZ~h!u3SY0_!Q*)7O)zAbUAWP;n{S
z2~TAo4hllZM*ynrH>Q`I-Y=r?tu@T?=HW^P$xP=kU4xt^IkX$dPax(x2SQQ}G%5sj
z5t)|IpisLEgrKJUXY_+uUpgLssKt+XQ3h*+yLgGcbQs6`L`_bfQNha)oo{m^xr@lk
z(nCMS#?5f%6!q#k0p<?U_nUcSxA$JIueuqjKdv;o{rna@Cku|8uOr1BB$gBRpDu(x
zQ8S18N7<r&r%1ViY)8N-uGkYgxn8GgEA9sL?oI0+MsKqFK{@pano7qqNlGONad~{B
zt#5Xly(lzx>GK(rH?ENXB7Z+ncy4{Avyc<{q3a=1)@`j_5A)eRZh4BZ<CTuDU-(e&
zi1a<$Q@`Wmh8&o0EvxrTK~${Ga(-Mj$sI5DZ{&-d>Rr6Huj3MHFX`okvCZ|{PsV;Q
zCPlU>2^(vT<C2IPphgJ(vhdA7cjx$WYz3-XEaSm}PZM!RtGjJOuZ!sC2}&?|-LrKA
z@9>TGS&~?ux5<>Ox9<MP!5(iN{+zy-Z1O-rk8rk1OMRbAfUE=`|7U;<{r3ByD(E>o
z=n09xr>D@)x=kWa*uJcr%dCI$<m>0*HGGrbu`*xhUA{LVdk8lXV%^pHm?7}bmOfjs
zbYcIE8!LKH+gwpzs{t`KiLSOb%)^`^02!f0K?KBr{ALC!NT@+T`s6)ycN&7d)3j{>
zXb{<fNasD3WPsi224o41fWUE&e+wHqXpRB&^cQBch|&SFx1t0$VO_jL`30VaeFN}4
z9F6^eHh?+w!C;B`Lom`u80Y~Rm)ZvQy@sGOH=9A=8?cd|#4>d)g4adSMhosfmH`{&
z{#dhguw<=gMW6s-4pAE+d99L^{pPdq5XaY#O5tWty1vV|o0f!%#%7#F48@Jx<<@?3
zQv4;kg@aNU;k*5GbkdCVV6D`_cs*n47*&rmkLR6k$-4yct9He(xm!Lu%lc`z`2Bbk
zKE1PhZFp$af*St!w>{alwtif$2g!>K$Hl;S<`Y!bYP|>AqT78vl)m?C1xF2-Mkd0N
zFdwrR&~fb38ojj`o<r(?TzY>j+8clQ5$CPRmQqEleU#%^y&(T-b#*MyH5!q_!uD`_
zBi;Qz<6`6|?rq%2*BV8`iq3g&Lxqg+0Sc$}NrN<U&%b*03K@4neQ|i{f%Ifd&h?%m
zKYGQwy;68(vfv-){FEH$Sf<iCL;D{=$NzLJZeB)Mpms$+%O|{D5!`0II-vY&MoK;O
zSgf}$M59EDlx<#RYwue|*7D=wgtdcD!g9QXS4hzmo6LLC*A!OAwAzpKyod7iA2(gA
z1FD}S;mKRBCj+aJO73{?6mvXRNLZ_mN+xXdSqYKnBiJcfWed*TJdg_{nYMSbjK6Xn
zSE?<^EKLaOO5{Jyp}&|euIyV`ednWV@s0i*%%I8&+rq-afJE+OQBCxQHsybTUvRPQ
z?ux|S8q7X|D1{pHmMM$LzaQiSnD&+Q{*#M$v7UO0iLluBWWh45Hv4p#qRG#7x(oXb
zr2%f-3Ur{d1#ML1<vXFgJ?vviqT~o^SBS&`B*#QjLhadqsG@GoJEi@p97jrliI!KZ
zw_eIZuz=O<ZCFHI4961tb=(a<C=ALJ3i3SK?(5MR)X)W@n&LOTTj=JVl2F!mEZQo~
zWv*jM)}q^+tu7mQnsdf0B&c^`V!@xz%|vK2P*Hr3%XEvV!rJ)_SvkXs*-Or$72{nD
z6mo}+$w&Rk@|i^_pRaTRf|tYI%+k6kJ4CyC>8{B&zm;Al+RlxLb^Cr>;-e>BMi$41
z%YZ_w#^+C*KfJ`DBlMV-{vasa-KNo;jJIBpaJw@lWW)Iu*Q4H%UsKa|<nddQ&qfuq
zWviGai~R+BOm`O#v7$}8jkstgb9#&)Ug77Aps#;d=;WXAFL>oCFhr33TK~@Bt9qQC
zS_5Qx8OEFXvKnL|qB|nxoDyt*{N2OO9*?zPdl}mHW8cWL)u|8nyp{e!Z*46sQ(fF8
zOxTn9k}iEVmAQ;ow$M49i26rQ(_ruY*|}_r?YvdO$b7CLg?R(Ccjn$$LkhP?GK4W>
zAM^K>w4geU2U1DN9I;B`4>+28`xPaBt>xyK)A4F&dMqFmODz7v<eyoF^wxwBFM)1S
zC?}P`&tX|K;{CUB^v+GequEX8cp1A_D@@fo^)v~tzfaiS>1EHlz4^W@^`NDE>;00C
zOhXmr-^{*T4QrPAMCs2sN!Bc0`48#ZL~hUOJqfxQdZXKIeKLX6%gS(JnJ92G{v^Pt
z(fapCO2rt$EUa@pM#U9>mYq4lGFeVx6RNhm#Y6qt(f2qe?@Qd++{PU<XYk6UGK^g^
zv5JYAL0q^H>O4U>VMU;54!Sz%WqJ7-diYQX{RV{^{5`n&BNS?|Rx?Z=l90hhshT^}
zlcn}8f(@WB7Z7Mlh42D#&9(^I!(kkDM|bsybB!w?2z7LH9z2+W_W`<=hl@dfsBEfR
zem5g<gW?|0oCjVmk5P5}ouF@NTw@3n0!)Zr%Kl27ygsqTT538q@(G>}YsA!lbaS@>
zZL7I{MnE)UqCYrIDzaq^`=UnEGwvS_?)wGj>e>ANs|6U<XrZ-i>5wT@ix7wobLT_;
z(YG_6Yc+a!5Ort9v<%;QKH-DubE86kWYZXrq=Tn#bKC~c8@~Seu+$qG)fqLm(QZK3
zI_t8aSZ&bGSaeid!Xf-zEc36Yn1^=9Bk|^W#t$0XU5@hw9RyrXBMv{h^2uC_Pk0y%
zY*AM$C7QVoQ#~Zf(7zgc8ie3}VcimD!D7Jptu3A;L=$CiOJ?~mn{yJ4&EchVPJ(*Y
zo^A#;=ccGEs#uX3bL<bsHGu+o%q~9eFbwfl9H~M)-Q_)9)iEL=i_i)2%U9DGE%KK?
zy=H5E8vM}-t!l)SHjtuNAf-!Hd1B3oO+|5DpvXDhEu4;z8FF|u_w-)X^}L1LCwhGt
zA&M*qY)UKM$1z%BP37GCR7>6m$%9&%;p~oqiK8gP4O8Xztm2C;La)9m7+8m`4)mD}
zO?zmL=Su4%VSSotsUI&hkk4SR7OY|rD!l$mg~5_5((xvr_Hdxj#-sQJZBN=xXtx+X
z+m_-O4nrloj8*K%?Kd=dv!&bP4}YUC;WqYRNq*6;P}oU6ChoTvl>U8Zpxw`oRD219
zCWxsW1;t0_X*U?evdS-k4hB+*&7ecrlZ6mLK~Tnf!A-c2fq=nV-1blD7124aK<n+h
zcYUA}0FJa9K$GyI&xM>9Iyf=Dd58yIG#xALV`fMtfA;U}*}vm5SyyP7gG~_T<`%5v
zN|`k<`>_O%9BjZWHd-J{S^}<#abEr?u#eskOCX3j;5mXWlRHRb9*GQE!fYquRfx|=
zUUK<ra<@-gPSqqSrbmhn_^kKmwaMI(2By5u1}S9ZVzT%X<rsrM3Ce4Yr&8>O&Xw(G
z`pO(W9={hJNF!;KJ(sM?rZ$T6LO>K#B4lCAIn+q?QcDdvu~DQ&ghg}Me4^%h=2qU6
zg_I++xxuY1SEOZvXQ)-ETBDTWS9F$`y1sqIXrCLtx_`MnB!U$<dg*p$<Y^dSwpu|P
zmRu5LzrRu1626~GnT9<`X!1v@fT=1nUyRHq-tUR7%$>xGM=oA}acLCJDab~d=ho0k
zxX!M)ZQc4pri1Sn3}_1Is_D`;%73`cUXZSOtCjZluweBDg=-iWxdl~);c#7|yVL_>
zWYOPe!FL`he@S(=k6q;y>9*jNP--ejKt^Vy{Z1*Pu+5#9TWLFO->$c%Bd*M`M$Oyv
zmZPNi`*sQ+C=|3*k{n$+JnYsY7!UM_okUJJ{;*vd+$AG$B4~dpbFEG1)^BJqkt^Hu
zFh5>0ef@0!We)0Z9ofx@T#r|bLp@(61NwD6PXjlk;t0y#V&`z5?<VtgW%`pLCG3@A
zwANlaV;x1A+4DOU<Zy;5XW-&dIy3To&f@$Oc3eHCYC>30@G0_jbkK6Yt=G#e68s>v
zr`D)459Omr|A8=OEX1_g8<7*jaPhZ!w>mEEa+TBF?dze!GPJ?nAfpEcJU63-iin#5
zxF}r{-{74>47bM3CFIv8LRx0ugTOIZyD&fkvp~^WPePpSduT(*n(7Cx+5JHXc#d}_
zcnqJDHpIbKG3VCe3jba-Aw$UO3l2E$#e<)%HF7AP_q?Kc#!4tPl)rww$y!+dO-?A!
zR^NgoyGisK=N-~jw_?0O$}<}?%(oV_I%ge!_eZ)FrNrM5Slv+0ZSzjg{D?bUkJH?&
z;=lA!(zT*u@*_1Xotb`^f)NycB`aEM+3(fDIwaUotEC)^vb>0QukB4x|2MmKbWUsS
zGd8nPjDW^-PjM4%jp$0AW;;-eJbBGZn3YC{d&@eI2{o%v`uPiL5>ZCe4PskgYL&N#
zb-Q&h#zR{(=cnFmle{@Anr`AKjzJRjNMo45!IQ-?XHq>|Nm{U6@JD8)!ndg{!N<ZV
z+>auTEBMOxnJcTQ#qdi@;5Q}lBl5A(tjH=(CpxDa($<FgyHx0Y!%8P8ShwXC_9Q-X
zTnDyF-)DWoEV(^igugA3!$C8JLGX_zndent79>vlEE7&+{6TLcDAJGg<+b6@7kj<+
z_k|R3chitPhf$<v7>NX9m&$%??Jz?iBZkq_;u6Z^sd2th7reDvv29@^>?a1I-MOx5
zhv%)kZbYw5b=Px>!uwo{SZIgEqp&z6QJOvM{86raj~3aFK1hlf-)Fm6KW-mKsr2L)
zw0mG%_(0d`Mc<Q96wa$T)iZ^+f3(IKoN-1C9g>UR6OoH9eQ~5T)Ay%r;=a~w`(i`x
zsHV4-_7Nu-4SE$Va5I6X(tMe2eDlW*95`2LZ0JMIS3th!3T6P{G{TXKI6ZA$E@0q@
zP*MP??}N+iIOPP87h=NU(47TybJNd?N{121ZG|<(axeT{T5?X#518I_-7g)?xyw^u
z0#lSRsh@D2`2+Cbh&I37sXYX88XBjR|9{?mUUt7mFj9j`(>!Re;lo!|-6$-y-$t$+
zG43CX9yLmMk=<6=d+H~x^LLfGd30sOyeZ}9UrsDS!Y~?Z2e#n93n!SG>mSoBS2LY0
zTKtQt%<$1H+_5#D-6!<IBqKXYjkYo8$7uXTaTwgc0cg(_!`-Giz4FdZTB)XWp>3jZ
z5x+?s&$0acN(aMdFYp6nPqSA$Q1pjW2Ht=EDHt_{PhHo#J8$~n!@Rdt+m)1FJB{zJ
z3+CEvO9C9W<OSq<f!K88)!bT=z<cxMWWq0swv9zb`U<y)Hu-)^h}zFI^*&IrXVHw5
zrSH~?kiwOY6YQdxN=%hr=PVUZjXDr~@c32Mx^hf8<+0mO(2S}{lcmy9o=Fy*TMdxC
zWMq48K(#JRNp)AMa7{<`u8&37W*sZu%t;3sUplq86~}I=*1)AlZ4<^|*q<2x(x-Cs
zPd_SMQ;uyA2n+WryXM-^bzu)#>>IAKna?Zgq04B7$%&4}W4orXWzzIH1abt?iZ*=k
zy4fF87#8!JTsyIUuVykW6PGho%5F8DU_G_fw$A&n+(J$^&3xnKNSdAG*v7eBLrv-y
z%~#MCv$5?hw44FYIo!<vnry$o&&I=?{vH&9QXn#hMrO$M$uxB5aX<8P;6wWz(J2KI
z-+vwS+crtkr{8#Lj(^P_b>RwB!NnIYz3o6H2bq}%oX;S~iE*H(w&6A?PtMN1fJ6yt
zS=oO%&efkleu0Sp1`S9R4C#1ycEJzcx|S$u0fvWh=ObvxN!xu(>sta@5V7>r7=&<Y
zwFCgl!oVCnK>UAx<UhL@uxt{!0fF2Ze1>_ru*2ONe&hZBibf^@a{J%eA_6h+O0))y
z?ztU*Ve-vE*W6rBxSi<s>D2+o9O-d4DkdI2(ra}$d@k`JUrF&qZjIU|>Z_ceVb9&f
zkmhE{xI&D`P2zH2^$&V<cYCWJMdgid>~X3I(A}LA@}^QDRAARCc|pL^6(Hl3#p)t>
zi{C2!#gz_51CvVcrqlFBw3-+8EwbV!@1}y{(~hpP<Ec9;cUc0a$C@){o^yzqeUUxd
zIxjgY7JF4<_kkvSh<a1yO}!+W1ad$rp2hw))=b;|(E^(+!l8GQTYAnnr(ul$%zQn)
z$q(65vP+kG`9;G`kVtaNZ6&0lHOT#2mk9no_x`}}vm_)YYvQ{G-+E!!IyT22(P#J8
zZ|gp$z;BEy5oSAVH5+GKPbf@4!&%?ti})GZ<lUMlAMxxFE8E0wg@+v5(;qW^;u(ZC
zoYry$MlYP-m$XR^ZF-tKt=y;DZXijpe$U)|U-|<5`4`C?$%mZ6OSL;#)Wl|}cD%2{
zz?&m{L{&1RIGTUyM*G`2@|P-_)H^!QE^K|@bWBMo!53(nk?jf&A2P4>(74mWj^enf
z$E%9ANST_Se**-Ud1$5p4Hn!#EGqHIe}VVH!p0VP^A~Qm@Ko*L;tZDz*a&HpvOhzI
zMm34vyaMe8RLO48z*Vw_DC#z7^^Kj*H#ck-J%df|@#{$qQG9x-CgUe9(AGgDs)5!L
zZY~V4o5If6^C(&kvn44XZ-vk-(&ARg^s|yXeEA}TX9mMAZ&;T|cyV*(SQPYL90<v#
zZXGJWoE1PxbIw@timJP1PLs>O(9g1jFG7NW|Cs~C2+i!1sBR=)0t?Me1s~)?q;z>N
z>F?G1e9dkrv$+5JU&JX2b4T*NK|>tTRBE*NE~CgW?mt@`5&|03ygiBK0EZL8fiSC8
z4u8oH_x&9T-~XD6Z6?6+9;n}Io!cQg=d}uQVA;s@T~j~NxhJ88>7kC&lKUat<3LJu
zA!kVQSfa+ypfsSq(hdpznYy|;6}K>H)7$5ZGWR@|>$a=aSYvUhLP<W^xhoct7_c&J
zqH4AunWQOIn6o{d68_N6;e~xcuT92=tC2Hm=_~Ut!9lm7RK8j$psSE3*YnwV@mXtX
zwCoS2kp=(zT;20c%~^*QDgqvppXW&^hgrHUnOPU*ODP<d*S21Meeh-vQV;qI-{rP1
z{4(}SPO>O4p-2?BNzr{b(#S8tv|;_^2yH2qF|M^M*R|XSWt#AJP;4M}NM64RwvCF_
zTeU}DZ7(*2#j8*hUx(!2_|w!+-VIHPOsG@^v%c|+M<jI)kAsy*!ezH`7!C&8H@LXF
zM`#Y-%R)7`TQ<};QLo*Gq8t+S;8F@=199uF2-t7dx3<cPi=`m83@Wq>kjVl~Z}Ow-
zLz}_>F?6c!_)AC~PB=!PG4DqwGAsq1t4Tc;d*H#mDFgKTS&;ugWrlDeL2c&`5OLK+
zTJfVnVely(?ppqnfVJm5T@Ay9vTGj0ienfFfk_LrpD)12H46k3z}Fz?%Lpbvd^%ZA
z)@qD7Mrmnj1u(lei#=KJnGObHJwiYSAm*tW%g-R;1tuK))xUZe9c^Shgu?TG6l9py
z3N=Trj;&ks@iI~w#nL~r1@5J~v$=0M6PQf(71(zlI-YuDb`49AWDYzkNc5B)`8A=|
zh?JWA_B%x@P8Fr!j8A&#ALu5~)G49<OzpWg5fP}MR~;S5ALvr1tqm1<7cL$Y7CD7A
z-Z)4~*7!!x+GOt|DGhXi?k7Iq3r0JaXL(NlgK^iLilR~d#=2d>C%P`#b}f2;U}vXc
z#-LCoa90;c<;B1pFlRX`vj^_ppY?6#GH0%SB@q=s(}zB^#=D%#{MF@f*OQdK<X~c1
zDzR(&Q))*2Z^x0as3!`KQC@XFUsu14lJfZN%N?%e^{OoKX*StKqFyv?&CG+t*xoNS
zS9>gqNWsL9VjVTv2W16!7cRa9TT|sBaUUlHQC!Q@2_@^tjBysteBi%?=sII6qtNrZ
z$MUxMtVsS0<6bLmdz;9G7h(C|@dtJI*g8Gr^)Q>s>7UEW+*4kO9wpz2>rm$J_t0Ws
z9FBOOciN#JowrAT9WA_aB_hX?5S98kS&Ts_hvyvCliW$~tI3;EDIZIn{86*7Es1W)
zXp+)3wap!&u}R+(njc^_Uit(!o;!8gWRk_<G?`_0<CVJnp2Q=%G}J(aNp^aF7vwc5
zI5}1Phlm^qng$RxBHIjtvZWf-X9#2k)NY6Z3{dPa)Bb<U_-$VaddD)W<CtYiLxclj
zcl<tEs+0Ev8rKEGzMhEn2XYzsUGiWRLazqSM44GW9Q~=RR{k2iZ+$z<2S&$jtgr4|
zO)0?U&p`D@!dC1}(m?0(9k=}DgFWJXGNtE(%pzl5LYnmDx?6>ATMda;L0BKyH$y@K
z<%Dj_P#>$=VCP96(($&PU3sh;NnLilzZC894~hzjTtI);FkimatI#P-&@BI^C=hpr
zARozREMea`1Z%n>BQ$!{u%O%WG{sHewmt@T7(0Vn*G7@(Hu4i)7MG7t({58nt4`kg
zCZR2MMRf6|lM^FEfy)}HbIZx|8@fy{2D<o2M@#t5YVw^&(rR}xjE8%|G*elrk7KSU
z=*x!oGJi^ZBMA#ywkCKAl?-CO2X!tq5q{6U--5~^_qMeHVEn*h3EF~`w6qUU{DMpr
z;dg+*EW`jv#5G6I9<FHS&E7B8J5-@qzFdiBh!WqIUxivG8??#t^72<@mtO@!#z1T|
z^EZz<3#eq!t%w&yV6kU|V*H6lRB?N{CvY0XHR2+zw`yZJwc;Dm@{%i8^}mVc%|?^R
z;OTBKc5<6;AK5YAjc>ho?YV&Vwc@t5;Ur`6RN!$c9k+sSAb&CM4$+qI2M*oGjFn$9
zxl6vQOP1NjWxGH47*<ZUq^1?0a`(LE`(E-x5#f#!0Y^TLAn%yrh?SZvse~xWXN9#W
znPuYPtb69uNN53@N2IcGS7Qwp36CD0t1KEg@<}Wed{@Pknr+B#Xr&6H|Ik~zF+Xt8
z9s8#T*`12uwiD}MOW{DLDj^e<m7(EzLO8(+TTb6Q^B37d>RP|&ER<1waD(oVt^ZN^
z^By~T1HFI~?=Ihzq|vQLtHT#MrdE6J>zNAFGm%X0G*H+VZTEJ?&g)&6b=hosEUxnE
z$4mbx!PfKUJGij!5~(^y8hVUYKJoH=<W3>={R(3cO+soGY}Xke?@3Q@0I+o5DY)y|
z*x0E4Q(wM*?H<p?%gc)FuF3Z2{w?g4FhXQ~Jv|RdQmQd|UkcuJxKrOXDOO11@gRJ<
ztl&*@rKz&>mY(gQeqWBHquur`-L;7Ht!?i8(nsG%J&~NtyIwu-!NM-rL8IHOFQ}An
z7g)q#eyzu^W^}TK);^ZA@lv)Y{~_y;=hCU}j?qqZ@%2g#d&We5L8?axiF!X{TXeOH
zke~+-(($~E_uqk+viU*R`~!+u&C{Z#6AvxWFMaG{l#C1><cPB8k0Q--cW+DM%ewt8
zq+i2l=^(DeOmR7P)sNpOkTrYr;dS^ARJK(sUI~NmnQiz%*zLg?%K}_>y4zm3>)C+}
zf$OtY+70(HlXvq)Y6Y-<qRPzJNJYHI%b*e@PIDJ8w-VK4WgihROiRGLf&K$M;MEZ-
zQc?~b@11crXpMms_2S|JBo0y@%b|jsz}<0lbOccXqMn~Lvb=_ltznJD^{1_T8qhL0
z{t6?+e%iGHxLJf?8VV|eFPqO4@@bYn|AR@Wu5XJ%E-kA9mUJ}U+~%UYdCsD$R*Ri<
zx){@rgu%o{a-7R=zm%{hL0p0{f?5Y6`KaGs9<c<@bebMrDpL5DJu50|@5%S&9DWKK
z-_86@7DYZYJwN66j{X5sKz;uAcZ3FNHp{~4O!P#7_6_vy)eo89>>-_{g?>FPuFngm
zIkuk*mzWyQxJ5?dI{rT5ceB==jx)_aBNKD=dc*Qb`IWM148Gc&(gO;!MCTw;N0giY
zA4_o&vHyR{0oX_9{(GB%UN@h@G7N9PgO8Z?gEtxQSMSU|3C-BQCIhSN%6_!$l{L5r
zj+bDgg>UkEwRvgDM+H^_lCTcNv*-Ec>Pwo3&E1v>H3Ayyx0;^h99ffvTHs`HQsFgP
z+&eVZMtMf@CHn>W(J00$$LOt!vLVGp*0&8WJj2m&!ZRIzvTOLGpbN;MqPbXCb8>!7
z;A-Z1RiJv)ZF9jg;fQpt(Kzxak#i&Xv-jk~ZR^=1!}CzGFY7-)peAH=8VY#4+KV{Y
zbq&=C3YrM@&gyP?)v^}qLg~7$U6RR0FG204@p7%RcYyv)8WNB94;FffG(8>Dpj|EI
zrj1}E5lNy{?YBK<xeA=Z<d;MwOkuiWN?1?9Qv^~NP-D^q1*6$#;JZE%bD@>)atVD(
zl9+DLw#;eDZ;CylVBIW(n#WD(K7Yq!kcxg6GK_l~b{b``n@&r9N%@q`Iq;yr<`Kr^
z!*NZ{z0xzvM&7=o?U(-o>%+_N^7E#sG2=U@coYU&kqGK<?UQPt3<_AkRW0b{`hu5J
zduQ82ZNgBCp~dB0@FvQvj6X@j9h%OpmqHf4LEO2L6k69lQ9iA!W1H*AT0%OeJR>f8
zC4$ekn6_V2n*Ua+38N-F=J;BOX-vG_=H=XE5V4Utaa2pv=_?nSB;XMsa&xM_7Sz{6
zzMawgzkX;HDf;tqBCbe5M>HYQ4xFCRHEMsxO1HkzzsT&TijO6=s#!*vL-~h%#!7Tv
zy=ZU?W%f-;IY`}hF{^39AYVSA^~?)acMTwAJA268?{%sig}3N)F92CaM!IA1-Urzq
z`L<Z0<4Z!gET!HbpO)(J=EYrf(s~BqW@uny{A{c1<sju3TPEc&mI(}ZVHmwZL4L>?
zjhyy6!Z451JcdwKg0QBON%(ZnXY3@G?wW|6F#UY^o^%F|#xZFDgP~vbPkpA^0wXE!
z#JS9VT1P6R)wMY~;V(t;sp!vR@5YqP?i;2|ut>dkQw&QYOf+VYiSHoxe?X8|d+C~l
z;n_tbL-b#ei5;neI|CzT<P!Gf7Cv)wh5M7|G-S-7U0nf{I=e@ZYbRwzT}&14&)
zeJ?G;Jz`>k9^0eH7wX?UY=O=2bBnl-;42rE^etm$-GAhVd;U4v%eLgxVMZ(6225+{
z=P@OZD{z%AwlN9v+;@eRN7uNg>pjwIgsuJWkBXsVX8mF-H|k|ltx0NVN{a9evT<gF
zo6H7p4a#g)n$>blS-ja`eNmVqVZms(mPXRO9&fvcGVKLss~IPHCxmtKL;Qvu5ro@Q
z{GVRQ(-Zs^l-qhc`YV>CL74r`M#ueTNo$Z0y|*9w0cSZvp#NigJRR%5hVqwK;`>)Y
zBbkLb#kfC|E~L(5t{U%%$~{DN3HOF%Luq~^@?>|--YV<hz9LH7c>%Oz3X<h<hNy$?
zQ6%iP`M|;M6Vh+OG|mGt7At0-y|qruqdDXN$Z$P4`h}6Ov2ob=Ba=NYpX0}1iEuY9
zt{tC?fb&WveeUMBD9sDU>ZtdE9Y$Z`1~XJ%-RG&F#tdt$LajMd%w0wCZmQ~{#K%r2
zvglFRJ#}4Xzx~`U>7w?|PInR^lM`hgoZcWYW)QVr(w4^QP-Q~RZ<2q{oL4re^oupj
z5|r3b-oPCxKmvOp^M8I;WbD><&hH$~3^%Sj1tNW4Z7Ffn^@qkxc|Nzu+&fzXV;%Nj
zvP&NX3h9i$(L39q_6|Q)FuDEJROQq&kg)rF=dHXV5)(bUqve2hQfCwsN#Oct>7pr`
z%{Akl>yJrFwT<jEM-~D03o!*}OroWFhHAlBoxkqSVDv}u?cJr-E4-b5$31I!xhOu@
z?lht<Q6yRgZN?=KO@`u3UU{8F_05Qq)*<ak$;mvLH2Z5s-@ITU1BJq0;R{%`Ha-_f
zSpC9<^LWv=Yb7`iJY`I*mdK=)AFJ<(Q=P7+J$a)<MS2c1_<7$s*P&OU&wjowW0uUd
zPhZi9K!7w}j-GpN-4tDLFaz}fm*vd6qka$VhMcKGIsIlO4EZ!edGmSf(f7&Va$#|+
zUXousxfY|i^vu&QM|7{^L)fTXjaz`49@Fg*kky21J<^7KkjDT1d*yp~ZY6c~nip?)
zs$X&2>SL6rj%Z%)L{2f<W;D?g5+d&r=&2<=n7cAe8Jap8@yV9%#`xs+H#CyZTOF6d
zr4y5JC1L`1h3rwNU3f=#`kGYXRSc^Fkq<K?Z-X92?T4v!{Qm{@0Dcn$DN4(bzc2+^
zOdxm1rxi;+g>yRwNJM1ws0>Nmc*k!h>QQermRFW+m7`K*Q_8<ok?00>F?%(;)mnTb
zP&l(BzFuCx=-T)LG@?q<w&tdJe4O}RUY!T`I#ApJ>U93|+qf`BH_xwI%%g1unv|m~
zp~_zi?&J&$uLSs0y~pw&lcCn}j^P(`Pmacsz_^er;ZYzBcf(5Fi{^+h#Ji~T#-jB(
zw6MapmX$krO1(b%1N}AG9W=DW@k)x)ze~>*r1lygKgnP^KCN}}ean6ulb@1;IV2(@
z@}5F=z%q2Kf%1EVP~~Mjl*-utF9SusaI2#`66-i&z!Lw^UC{}@GOv@;WhWrY^O)9_
zxB$JGkZD7Vbo^IkO*(QP{s4Lp-$372Z1p4`qrw;Dp-yi<eBq*6kfE*9!?-G(vrN3|
z6!%iM{<AfG_n*)8<GiU$kB<*ktUD@a2F3<#@M%(8g`O{BP*HWh^J&h19=v7zQNFY*
zgNnD?OmT{sc}%b3(^ARfQyhH_PGJ<##*YKU5X_)T-&`hc{<EbhJ!j@5l!~z9EFcW2
z6vm{))NvD)b{{IJeN2zZ{~oDHmV&)x0=qw{tVNfpiNW*Nv^$xrQe+h)d0}_|%1GTx
z<8+^;-6ca+o(`S!AHNiPYErgPg{gq3u#MXXS#Cc+P5*h5AS9h7Kw9`d=QM3)iZ(DZ
zfFN(SYurxAJNKvZlhKkB=AY~tp|V<7ne;A{FPY9n>z=O{#?pMC8x64XZ5&ouxl-|~
zcszYX6<Q^wH^fh0_k;n<X`JA?xdh+A@L+6DhCrRuuvJJUH{hIUOZF4z0PQ)b@@4ls
zP~i^r6xzpJJu(PbPlTG@Oy#Jio#cY7`-~@Y>;ciThPkeO>B$|!LXP@gM<%{{A8oF`
zKl)@^A0CLoJI81d<Ifz#)RtK*K!&Hy7pTlUa6(#~=7H5oVM>6yu#T3%bt+EajrFMj
zza`il2RHEZ-daC)vkz)ly@nK?WoBd(p0LhANHX$WLCrfR3Mzt>Dx21JXkzi$Or!*z
zPb%)q-(2>x1U&V0_<ytj<t!cxEd^LoX69)JMc?-ZPIJ=2IxHB-P(aM;X%c6&NbshP
z|53##A(arTsHh)w!VwwS!^1ZaO|<*{ZE8lwM+niddYEz!06&0T{``Es=dPNBGFh4O
z24ud7=$jFV-Kuk4a%LswP*VS$_|-*wuITD%nY;QQRyVM%18*k<vu!twdi&U+w9?Ka
zLkFc%cPPq2hVyP&H0`c6x<r9PD<O*ePF14%atS`CeSlK{{k6${epuz8|1W`YXV+vO
z3>mJ!{+_{7+d1pCiz&Pk4x@SzKFa~^FXDMaOL5vVj~%?sH%A$5(2A#OGrc#|vK}dh
zi9a>d|Ak7$X>AZgukc4vV*=BvnN$mlP<nri=&?f3#g4HF-(Bm5vsLSpz)zTKyYiU)
zd;FG9^Ia%o7Q#N?^7ag|H)ZO>7G^J(tz0^F$lb$Rp#d%<SfS5hGJxjuac81z31Xk*
z^WGgJawH*LZiZ6WWu}%R-=BH-eH-YaL2I2SXb-Xx_)29=hOmgm#KJOh&GN9jyX+;r
zLc=y_$Lmz4(8BSM^^WP;Cl$9>z9n}INL1^!Y7=5?9_;J+$LB5*2}RH|m-1xk^(-<4
z>*E$x6}C4=B<<XN40pkDn4xj0mi-Fy$`A{l3oNVQq7J{vw^o&2qxx<CF!8dAocq
zp><Z&Mt4IJPT1$JQ6>{@y<63d&&rl<m5Gr{sQ>Z4RvsiuPa#P!$gQl!FKd4G3Q|LY
zr+3z<+V9#i#$e5@DLzM*33QM-Iyl|QV@dsl7v$`ZW5IYDS1-6f+wGZr?jRz?%DVp|
z6sRoO+1Wt2YHOX_+iG-V7zvQcy1DoJ(h$HLFp}|;)8<i*Ky<`2Gexbt&}_88hKkT3
z^ccyqbqw^$pE6sU%*H7`7MPD#sWr%r?T;(QeCWsB<<*s9UK{BxaAo9}-t;H)H!aGn
zn7)wlZCw-*42{P}p|&sTwmuer{xf&uSeNi267>OEXn{Az3<gy;?fZsH?3J2Jri|q_
zK2?D~iV9kefhc%|9HW}w6b+7FF{9)BjyM=2^ma67$d`yXL%sgi%ZkrItw8G`rvKjh
zFy?#Pgeo=WFJH}TsgV1uO-S0w88u!pa!8gLL`({~+)eAbX{ielhjFnSEy(=$Mzo#B
z4`cm@YkfNh3#duoxFDi6LH?$CLxBBMYg_q;*@tPJaR;#(hjiON=odZKjMdf4U#Xf{
zHGAh;M9~+@ntkLvQQN<j&24c+P~e~}6qIQ-u3=WPn%WWZg*pB+<JNUYm42c&wxaS}
znq%w}a|00p(*S8;yxwrlC^s>o6z_M(cWuVa@qM8z_&L~WBuiPDUx_zmydBHEw<(lW
z9l1O{s4Winzt;@SBUt%-NY66rRVXdpzdr2!MKXh5TPoYHREnvUmKN2EL*jFNg2xvP
zZPn@&wLQlVJxmEqj)W*OGv{xI=M+(uVkXGLjK_nQfe{!4?7$>CN&EPn#kRlD(G#%I
z0)7B=keU4!8=Q^)-CV<%DlaV!!Bn|r`BadN%?>W1pD(n>2A`epuR#CW1z0XWHu%Bg
z4y#1fb`Sn>5NxuU-^|kqNMaBaFoo#dx55P?uYSMIv@W4dPUyb!+WyE4Kg%o&M+e%O
z6fUhsygxB(Lh@YSAN(tnC-ud10x@&*qPgN~%037B(V}BD-qW?;#fgnV%&&vqrh4=}
zbzpJNLQC?`JV@9#@px8+S3M;@Y2;8cfKRn0DUES=9P2dKk|P0)5+B*T>9-GYT<PM+
z##cl<QFpA~AE}n0n-0dwH_TtqsQwP7PL1-b`k{G@B{HzoYP7T6I;@l*P<hOu{244q
zLmwM|=`j;Z%PiJ;`H@jQ=p*XDC(>h-6Rl?B-Hww}DUqwP86(1a5&5T~7v<qc@8<=&
zVxwaI^*PiE3Q7Gq46nbaf4T-9CqRcipw$O>8o-9nK&I-+HKGX*JIqj)U=eU|5W^p6
z)?b2r7oy7q;8%S&0H}=%70|C)LChnqto-XgTrmZk$<x<dm?1Bi0s{0-TwnD0ulH;2
z(n-{zvAyS;H#vsP1M#hO(#>(wnBgZS4goHMTBcnO$h2_3>|@k^F(=ONxIj9Y`S<wG
z5Nbum)Y$<#mLQjD@gueZ3vFffU8ihx3QC=8TJE;&Y*b%T&4H>bC-GvFS*vi<l`8Rt
z))3l05)O?g^wlp*9~Bg2k(Br0MK3XI{qp-9eNsRC=yfmw=In^<s!R|td`z8dt`kQj
zNhaz%$yST06;)2VvW-bG8n37}2y+K@A2i;ZosJZDVV%6q*>P^VO<DYJ<-2^}N;DdB
z6g#!jKendwmP5=3+LIe(mGha@d&S-*#N36!nTB^Fl&$Y;=CSPH&{G}l9UVQgBVLZb
z{~9NoSUs71Q@w?d7xhp%9Nk{|cLC+sFJEHM6OIah${flc9_fd(Oz;&+TWa4o(hgZJ
zV(&$sBDV-(Trnw0v1njb@8SN~YSn5QVRp@}P%*TnB%Ce3R!)4Po^BUzskmyoJHT`D
zy09&A{RdHal^<h2y4)%9RzugV!fTlUhM7LxmsrKuF|@ws<*jNTv5YnS*9`xLI>?WI
zijATc>+dsgO;Ml?6{X##jQ5zYQF<HcEqQOsha-rCrdP5|di|}_vDpdL@?F~>ahTCA
zM9+RxZT(bxV=uMfbW}xEs(8`4GArkDI2}Wiw$VA39x21aGqAKI%gGrd2*H&n``zi`
z^}wB$29`%xmx7<)8K74n>!8k3cEFj2n7Gb$PUNYlqvOum(zDNATRKP2qVcFwa&k<~
z%xLN9A(EBZ-QAro$b!YAkoH_gK=<OYdyD7vv-9<LX_k#t;`<Gpm^aXZ15gE)jSC|3
zw@laXaKRbfgP>K+Gk>snBW$7Usig5V`f`K^lA7tvu1x3FjmGCklKk00c&5==b~)d9
z<jj(j5;u8Lg&!t9Q13H(!O`h#d6+!n=_hn2VrA!$_faO@P6Dw2Q@oY+`e!lf=ib~Y
z14+-qT_iZH6J91h@ONs88^R-K7b4xExuq!e<M1Y+3C&%s`s1>@tW_R^uf5F-KBWhj
zTI@4QsXtX1vx-Z!=Rg*MC_r#cwZcG_n3x#kc&#-x0{0cR|6T6Z?C<Zx0fzXNK+n|F
z)C5JqChowuZ}gBr4Fgzwn$i$A5x4ns82{4BxDeApqYV`mmC6R1lz0RLA$twels4AZ
z)&N|IuZxL^(UrMahqu_a0n=v;)lyHd7Tlo`5fOlX{`JcRDD}`O?)mbi6$CSWOTnVg
zLckfSpwI=jQrLYF;;cpJSivI|6B82>@`MisQin}}x5YZIC43MO0dUlQ_TIS{5^@6?
ze$c^;SQ=Vb(9_aB1)NexM+a;XFhqHIEeqQV>>GWQGyvLyeWu?Fw(>(r5ddL@ot+&z
z8k!WiQ0waIAP_T|fz6fBEhH93gD};*0f{0A621KV2=VY*q5MH)Wg-yP?Cd>P3i)DB
z-asMXF&R%K%t%H5`}ZIBBJYpLcp+;&^|$<uzSL(9EifG8B)2})uUe}xbBnu;*LqO#
z(4rcH#wPxn^&YC4p~tO~vao+niwXn8wMqt)t{xBN{VSSmjZo~+I;qKCzu_fpTX$3!
zl9Cd8RH9kcIH8RBX$JqvaZ%LYlmz1v0}qa6BS+?jV)ZpLqz43!V`_#3tG1YTvy|1I
zh0cX#d3e&V6kc+=<NNNU5`Ha1UA~rgandhQyb=BNMEOrqlYA4}KW?s%DZc6f>PC2(
zcVF+IRCb(G2g=or&4yAnJWA_x+Qax29krlk&dM)*i=LhyF`*5<^uBj*9HyNJGY;^M
z!nuzjdc+sLbEuT!1!0>Oa}&x|Nu-^vvr(;T6YhbhEb{0J*7+aMebhp^9UB{)n@jtC
zEm`m*kjh3!N5LQthb|vKzZ;wf!~QyXdRt`YAauc_5%~pCB_6OAq2h#20PO|Dn<AoV
zyeRL0B!DEi3qW#+=kyskoA4nJ2zi9=vy(1U!14yHKx^D*hRV|Z{{HdML54_VaF-+G
zqkzHpzFT^J?tjDpk9{2*LGYw;Z`FVB!2aeBJbFYPBK!e>n<}$U^%l~z>eKtn@ZSQy
z4kIoT^v#H0aHhkG_yhkU1z5ypkx|nNG8A48h@|Oiu-fUR1m>Kv#<fj}DbPq=6ieoO
z*X={IPbrG~tc3TJPvCcQBa1wSQDtCDZG3K1ZT1n9dQ_PaJ73iZy5dXs0N;&I9_8h#
zs*$%7-5GZKGnHz{?>L-Xa%NWMVv%LPo|G`iH|32>t;48)K>i(5;$Ln{gVafAv3CqU
z5p@hbYf-{&#~3HVH#6sxbA<_UpW}XiBXM*gSM>X-s_GDWm8q=QXf993rYWM<^G*!&
zu;|NsDWPxMZ>IxmoqFxOmGO)iO>QGO{O2ohg<WC+HaB=>;kE461;bUkPIY-XBCx05
z_7Vo?2M6$~{D#*G^thY<U}|A|b9DjZaC|H*<9geEu=x)5KK$U&NeM_qge(sBOu93@
zM7f1~%Z+Xeh@6r7dLdEK#;mL?c(W=%IRY;&TuRLv-OMd47DJIyNk~aw`>$d@HPqMF
zhZMs%MMd4+-QmxlOG!z=7!?8R0*W9EHz30l{KQoi1qfV00*z>n76R(xv-e|iU|<(^
z`LlzAw-wRwz#%7>UqB!!DT#yp9M&E@aN!=1Ea|^}ZO_Wi?l$*vsJEAcpT8Oq2=EIN
z!ieDKbYEz0fFJ@$^!Az+p>puwpP4a!f4T?)d)TPjf!%?Oj4bNDDCM=O1+PbY@Xz5H
z_}O9106xc8OWEK&Gm5=B0|LXZ#|y~SyVU}HBk!e`T=YWKhozo;5D#GYO;(`D%u$O!
zwzX*MojoBEPolYcK7qeq!)i3EtfSGL_~^D_IomcgB3%2H2^~?e*qnsKaa@;Ku+*%u
zAKo%GtztlV#$-Xb%83+eyuySoloA*kuZ&s#SVI*#nbp^6?Y8&Jh|L$7$xW@y`yb5Z
zGUFD;BEIXCG+KolII~fs<VP0MeBlzg@=s9;L<$%)u~3a{SV5;L)f?gPIU(~#sY%(X
zzUO2WI+6Esm^e^qsZ{aBF%or`@0VH}d*b|^%XYggvICm3>A+-nRYlq+%9Nh8ISa>I
zK@Q7tdTVRR85zE?Wyi!|!LtTo#=C-oWst~*St9V<aI^p?_a81Hp#V2GHy77ic%@;G
z2)qg?w9Q{sxdBTNGD{pGYvkfHXpYVngWTohLi=q^!5%1{Ap<EC5G?@|7E3tKfumPf
zQt+UFV58%)on3?bl8mURC?lg4U@qXiJD-M^7!Dm!m>{0k-Mf<$q{ijO3JMAUmhflq
z21+liL<D6BC`mA1n|Y7VbR1s?#|a!<{N~LD&8-#dM+nFzSeIdSY>m7o#K(W<Jqf=p
zY*77_f0x4v*>&@^77;%cDC5qSYN9^ngBg{XnVE+tPB0@Yi;|q&?mZ1P{T1+*U?|O=
zx&s;~#E_28&){^)-rl~srA5?v3NMjTd|#yQr$2l046;7y=(^QUb}L5IapEhUr^JFg
zxV7`0A9YAZkXERQ6t*|=CLbYb5^XNBe5$&Tu?kHr?EL($bC$mycebGE-)({{N9;6F
zt$Q2yLQT9v2rCC}M>u{^`>E7UCv|Jxag=?#vPlc|%W#L(bBy89S8)wuGB<1q-wc`L
z>q+GaS6)8(7ceXpg=bs4vg}97PEAN)t4O4kdMckUpCFr>`-IX}sP46GJ6b7cirZ-H
zpf1)8$*W?!N3jiaG^}1_zZp4<P?vpb)o~mOOh@-$Fp1&^HBsI*<FPQ>*E^46TvRWR
zucyVE6>N%=8Y}g$2_NkWG2znsPm&lMDbm50A2KsDYibZ^sK0~4BexAy+(6Fn-gfdp
zUOud>Yzxi^Fp(o1TktmK>~{D-ipY^Y?pq6(7j6#c;Ua&AV;&e2e4L#7XJ>Gf4-O3>
zLg0YC2^$r#;MZ1G#-O$UJx{$l>8$iTxn4BcIdFoULBtkc2Nu=jmn5(xK!-+a;{vYp
za7@yBbV(4&UI+Z1_=(s$i8j~(-~k>^KPVAbe8pNhUz8-1lbdS>iwb<D@Uc?-u0W0e
z=0t;?u80UUFVRPj;C(I<A(1@nl&7(*wL-YUm?shoJLb^X>n0Xt_^`*txgIQkmEhh9
z<Ir@C(`--u_I_p!hv?P1>%E)<^q+MnIexN_*q^lzim4<#?5sr3H;sqX;^nr?&k=s_
z0V6NA6MpBc{O$}_dti(Sqfz@zi7o{l+L(5J$h|`nyn__>?mJdG>I^wzMv-N2$}8xe
z7+uWvR@^ml)-w~U^=-4nz@xmqTtAxmWmv93FIr(6cnkfMh;805fB?ZcgbOWv?WCln
zY~<&v3=Mr$uv31)kt%>OZ1E|-oR*fBhsQpcb~E_RC2V@|-dp#_L%9TiB;g)-TcaEN
z;z7ZYN;m`ERv?9dkcwSUP!QlU!$>}dokPF8<Lh9b7|QR#H$XSUE?#w~!>qH+IZg<d
zAxc;cQNP7pQLp3hy<<Bg);2IbD#wW^w!4zJ%iuzk$5hCgQXIczZojWsMp0!rj)|Z!
zQ$V#!UVnv8$yQI)ExU}OyY2bFh9nD>LQ?14qrN%$<y~VXQmjgJQIy9DvtF&HeT)GI
zRWEB$kv`}h8lpHWFbfHGpvK<E-akh73OF~uh~{u5XW=f3W)hbd8=;WPQTtAd{EY(R
zy0;L2U2H$FB^_HgiOf!_w$SVi^6w=6$uafsIO9U77-kIAvCd60eY_+>k=pr@i_47O
zT;IvjWndrDGCKoGsI9&I10Pe^t6*lU^SXM_I0#_6aB~5T_Yp|iKyA5Mfl6uE00oH2
zLN#m@y*)k9v^)W|5jHk9getHH=UpU94TV#I20#oBqkw=5AX>rrS1^0nV7C)$<|UA4
z0!&B1tf{uC$scr^P?z0i2y>ScHb9>Kw3;IoMvL{$sY0BYGLv^a3jKca&67P&vA&kh
zY{SD^Pb@BMM%};0#P=VP`S(SAb!^iUqn6~brv24V-I2V7zKr~%3uUlJ!0(;0Z|9OD
z{_*+hh}7HleWyYUWo5J4WV7h3oJ3J(E7Fm&C7x&4KEf_aNGFtw^BHD*kL<61-BJFG
zlGRXGZnKZYXuslg#O<1&LZ!p~udo~kDPAO7K^@2IN?wW}KbI?kRs7b&w`vrDyHCn#
z(d1>)q&t$dM7G7+%%57eEu*0-(W&w^e4f{7=66x$YAlk_2zmOhwCa-gIBN0ty>cF$
zr;yBhkp%BH^f%?7db+vs-~53ztllIB;Nu81t;5<}KY%|O6=mXp`tU9QR>#N3Aq+VT
z#nQ~og@CyUb|XmreOpoOI$4oE^qSwYop&PPr%Y3HbT6E6k`AK<pn_q83`LXrVz9u0
zFbVoeL5O390tt08l3%Mfuph@(?yxMjLW{!Z@c?h<r0okAq~A<x|7@*9{59&_u<x}P
zAAhkF+JBo^Qqik^xpklzsefhhs9bPn+z+{cgRNP^7vskmW5g^enYl7D%9z${{1QdW
z^A#hk)!P0a9nPWW6k8X#oXOG#ZA%VMFc{cU>f~7rUyx^4T&KLp@I#X%lX30T8~8QC
z^Px3mYplkpm$S<^MKXtM^9zXum+F<w$IAyyc>Z#p_#NvQMQp`PUy2C2M(5}fOp8C*
zeD^J(>()~>CxS2W`0Na!-Bwoq>ID&waGZr}9{x|J(@35qhn|<39FFu02pwyOvwQP1
znDA@icm$^xTw#y&jmXZSH0*nAcJCg_Gj|vlff_ho(9&`VRCOvUDp65UA`YV+gQE}N
zZcahbL&+l`!13yN`Jq!G5a$sPT%hEJfKV82eA$kaP-LD%xhLEMkB!a48TU7q^--hS
z>?xH~&_3+Z^Z+OX%^18bB_$<L1I)wg0X~dU-PiOK6sI7fQC5|VRb2?BEN)`VwvSJz
z^{}bXd1qHKjw^K`wn2kL@}AsUl0zj`B!s8bLEh4tznA>4aIaHL|1@f`4)X)gJ96RM
zZy$(Flwgi)NX}yNV3B@OuZ&%P82%TDJ*n;tkNB7fxAzLWxQM1pk@8-1-z~Jq3vurF
zayxv_H7k+TH%w|GarXLN1z8<+qBHs|-LtA;ydeAaDNp*>?(hNjK-oo%<(+yrl>X<)
znW<soDRJ70d9p!zn%74dxi97#E*D^pDJm$y^=J&fJ-F+?680s86h1JOfJsyHY|a|}
zCi`)IHW2&$n+&*Csa4JOm#?q+EPMSH1Asa!es~L!J|8d0!0;MIM1H@Fv%@c;ybnC7
zCAonr&3&e}u(cI&#fHt?PUEVzrKKf1vYnfZjLhJK^nBd<4%+C|^2*8zJkh~{fjJO2
z!Y6tL3NIL`rKP6>t5xdc`+Z>RKJ$Mrjfz6s?u}}^ee$N?u<-U}DK5>23c3=sjePyX
z(psEO;T2WJ6~#S~H?j%KA=;0!unfG3LN87?J{1u2qT=et+9WX<YH5W83DSR?8#8P`
zF5tB;Bw{Y{)AK^UpY(Z_2#v{}4wH{;WbKw2fh-39^;ecK?jM-z7g<8oKf=_RcIMT?
zD5p@>nGz?cLbGyc+1d%4<n^4NREU_N5JsLbH!YBUKbFV9)VV|=rltNO9f46aO7h%y
z*=XKX#wb#-XQo->x>wEL!@I;;daUN@q(l_eP1@ok0*{a|K_~GQjEe)-*+TV>>?~}C
z(2Kk0k2`r}(^-zX2`8J6P@gttZr3fD5})(T+58R8kR5;WENyNjQ#oUh!5w|_m+!si
zq5Du@yB_#q4&$lxT0IPH_<(vXaW8-^wY;T+jWUJdzHVB73fZcMMu5~U>h`}W&^Vlu
zNk%haMkaWKfm8dpyEl#3g(<3u9m|9am1FjRf%sJkzLhhxB5vW_A?*pZhS7eEoQ9+p
zL%+U&crEo*_?p@;4NXmL_WK|iqO$q=^(!g6mNC%ZPzlS?I3YzQ5ZIvC*Vi!QXnA_!
z>6Lqu%%ljE>$tc$xRBlAGhN@?!{5qGPlt|5E2IR1!R{es3&HTW+3$}GwBexl)Yqp5
zp)`md)1So!`J^>0IQ;0HuuF>#iZ(mpBBq-!)lW$y=D}F=MW|=^b!L2Nl?Wo(3@-g8
zrKS8P^|oLtM#$d${@BNZ8gv)dDybQSPC6ZNnDr$@ToYQr2Zlj<_KO2(PJ!P^8uk<D
zH~>_xTW|SpQK`n5mG1D<62iJ~nUor~g1I#`&KEf;!97dZf~<D84vh3H2%<)=5{(-=
z%V#MT7zrFt^jtOhG9%k(>%KJ}4W<!tH^dW1k-ekqO6*+wmzd60GBgvZ#FZl)JA-CQ
zoWcEr=MMEd&JtogL1S4oaXcOuM$*b3w@9YH=h%LG_e7=f2g99DPLgSOXcM=(z9$|~
z(^V%D1S4gP=@px%eu+(XM*7LQX!y+1{%wUn@!QB+yk$EkJNA3!cHcVbj1#L;w!ZxI
z%|au<;8>{(xni^B!#Jpsa%GxoT24X#9)z5_8)nZDOXJF8VirJAucg?hn-LwWT7-5#
ziO;PN7aENw+1OcXeHiyOHE%@!hEAipS1?N2*v)wU-W2$B@TiD{mt^7dePeRshg8QE
zCVh(SE?Lrs-_&AyQw`83MIBJ}f07&<w%KbeNS8l<wzI9}gQ<t1+RmO^Y>3i@M0HuA
zGWbB5ptg4<DTeZP`p@+!qJ@mtPqKIy?{pMr))`t8yXoAWS#zn5{`tUVG7328_3)&2
zc6ML`c7=(FjSK9{P+5M4Gh!td>Smw_(?O#FdIE?z0a`?da_H_N7?uzyptjSTboT<d
zM!p1X0oZ^cx*J%W2w^b5>johh8lHV(5N&T^H7BB}i75Mrhhcs*4LzeF6}ngFy8;8l
zG1K@xU=b*Pc<bHD=B5bfh@tG~;p20KBLUW!$gL~V(dle!nbh^Vxd!K3HiO;WML>*M
zRXGmchdUv3Po>1gFTg{3OTc2VuMdd^&Er>#f_V22EZ&>{!`62|W8MFM+m}r?nb{+o
z#6^U%vUm2#EL-;8BqL;G%gmOMy~!#gMY5HZ9TLym?|1(H^PJ~A_c`6?+@o+^-|O>v
zzhATac`PV3=vQN*vxk3SW+{H{SIX~?RF*M54~7FbcgLr`GmNox5KIU-5cydraJ3kU
zQhbjmd)~=_{r)WWmEjyxJn<ej_L*V|)^LjFV!4VgXHPWNjhJfQ%P0$W&6Wd1Qt$)^
zXE#QibJ+P!e@fzJPYoZolDGZ=_Y-}yZbuxIhHTqfn`(;+IZkLGl+LEP#1dl4*60|i
z{5ZuNU2g@`y+?lICVCxHsI$kzs_{l6dbo5L+uq#Mow8lZ8SR{$qIsH`TUY3F(fG&Q
z)r?*W3Xxt}gWFbdC;@zCiE^AoR4->_v90@;gPE}z=h4NJ<HxiMVl{Asit|}Irz|B&
z@l^`TmFS*2%FX76)+>#LQ=PI-vtGn(qc^iA?en!32)=Q3-&*^EIk@FjiPCoDNxzDq
zyR3G#*5b9!40s|WTp{dbRl(ll)A^k@ctpZlb!hs2rTBs*JNeB2<^o82N-W77)pCDX
zCgvJ4#+IdfTy&-J8FL!-bSL!P(8C&Jl0l@!A`bb7qrQ%q^4^tS%2ZZg$seN0IyXKq
zpL?1)+w4|+H%v-g{2c16u?Ywyp&A!>si1L1Rn_>oIAMuv(6Ra1n<7iFto6XU&dtRI
zlFAX0G69IE8nLeH?(U}D2=t)Yj6wSi&yV}h3BLBz{M=l#{y1u|t~8J6B&Y?PY#UsD
z0l&#@qbBun6GO}1s2ealK67!|hd>b`TCq+lXr33;Go@r?W?q4B#0#bnZn__}*0E=t
zU<S3Ti^yW8Z-vnl_F0R#l$4Y%8SM2m#gA2)ryG)}>WJ(}HOmk!ly)o5ZB_S#eFWwg
z3p3O-k4hs1H)itvPzL<_1G4I+WyG=ZF(Qh`dh($!3S1ZSu2^!d=f$x9oaQa=yM*R?
zbjG)vm1JPZYfhFkmL9X~5<ZDn)fynkZ>YgaaV`?HOMevQCf8RV&d(;+djAb&QJ3Zu
zbVjPKIy36{m+S+Ho2wR~LNcS-ryMdILCK%<=q8etKQWuGa(vxKhP<SEY0mYqIa0?b
zp-1TxEB_#)kLW{z*$c8o^B+a?yvrpmaZCGJB^PMb`o?mIrI|e*ui#+BU%Z$`A~|J2
zZH)C-6-v^>GR|xPUzt`h7PhpxUbyk3)DkKu&PxtHmMw}l6Rvh1V9&q3G-I=m%}rNV
zmNNLg`w8`3nJOwDj9QbR*X$}%ev0#vKT>3*3MzK6kGKnCALj0G7&aA^TuKYOUu0Am
z6W56*_*P)G>klap5{aXjD)W*I(U|>os}ju*K2LllOLeTV&ex^P5&SsD3lX${HhO!P
zskOOOn?UtaSXcfZriIDi@3+KWv*zPrid|Nnots?at<t!n7gZYjx8m_#Uv^I-WD)-;
z(_40ArKP3a-Q58K0FYJfjW{_C%`nx+(a{(1$dzxk<{SXpeGNfDT7k55C+rX-Qp)&h
zYHEi%ySuykq@_i$zaTBQVZb(l@)a;o!5s?#w=l%j8CiUfgY*qBTHXOVgWruREFxmz
zKY_&m{s0gUha_~kW7$B;Cv5kO5)yMRbcFc$w8FL%@N~oEY%3)QS&lx(j%w+5w+oFw
zcsj2_$U7`Q0#}kQ%W|2wZGHE8dwZeQ6`w(>74X%R0GJv6Lg_oTB?N|2s-j{O5_&#=
zekWZ8pyP(G<t;c_=;NVB$^)M7{XVbKQI^nk|D@O5qYNZoy!*HzZcMM@eVH<CO2x)x
zeZ@KBNbr}%jwHnIi-FQsv-<u8Cn?%b!{fPyqm*3sR8KD0B$-y2L|?iZ1&!II^m7*S
z+xpui97I}6nysa8qmSU3?&6`F&c(R-Sia@>d3&D5^ycW03BFKg=nag~aKpbrEqDr9
zR%ho^IS&pA(DqoJ)1)>V$}Wo8ikR1u&FUWV8kN{8JTZ>o2sBI6Q{H79^TL=GCM&Xd
z%N2?*v_Qh{D!U*u|2*M^f^P!n0C%WtzxQ(ZaOA|w9m<o)1ep}lPt-n|NEsTVrbTtM
zVd;w*X%Z!IxpQ@DTKxjHd0j8OvVi4E8mq$k$%}+@2hFIHdVT!Ylu;I)<%F{gj6cn!
zXb?#iOo~6d2{bM{4Id^szjS?MrY9PQ-b`2?rCIqNF{ikVu02dbR4cUXl7L9R%@?ss
zmQdWar4kX7ppgF_QzS#}v^F*;p74nVTahGgW%$F+5j>vSgDNV&BkGxcrlfs*aa5D1
zrz&2WIL|EXN#48H{nV3C2VxEerC@Xflp%uu4re_yI5-$8pzR<63-Zt*braBa0LoMO
zOrKqfu(NMK<_p04{OKydzT6r3JQtReV;T_9{;1<EUOpk`9$=bapxXkd0ggBz53T_q
zsJa1d%-{3#YcU}B)j@OwQKF*hD(l2}{jWcK@HH};A4wMit`Q1O1Ry#Kz;hp8Umz;|
zhLTu;g!6?id%X(%r6wtG-F*bkLG)^8ef`PXaLNL>@*%-tMV3fX7=ANM1HGf8JHRtQ
zzPzB&EbQ)^(92Z+HR?SA=)%uXiz5!<@7L4E^_gr~zju5*IyNQ+XE&@lqf#f3M^8G(
z=;!YbpOp77rvm*XVA(JC@L}iy10CJyWBpCWYJ|yWRW+aNovw7wUP3}Hg4ENc_*qs$
zlp7RRxTc95MRZBhyf^IBU9@;YICIcC6Y6niEHXz%CK&dV<e6SNFvt`3XV2-!UqHyo
zv3Uqb`Q5vGtpg;F+hxA7c^JEzM^Q$5JxwUU2+fMotmqn7@p<Nbb@RkSnrKaNMK*<f
z=P=nmPQhy`=@lU_&GzWxv`4Fj25nPWMo0#M&2lmGcRBx8*7#`&mlRQTW=inMWKtrk
zDXCX(w$vUmZ;vEid{KH})@%02f=zTmT=sL(Vx!Zx<Hx_46ur^9$c0oJPC4P!%|UJz
zR3_VtV5!CDYf<E}QqIKrzI%A&TahfW5@Gq>UABcu-lZZZQF<uzzrs1jZz&}@u)f)0
z8RTFJLc}<tDP~uA@tF?bi4q^|XsMAtyo<wpV^GLNE~3!w^ANFHYjUL{LEH}?|3D{h
z?6myd+?AlRD=x)h?OdE3cD3Zd6tV;ci<%4R`~I3P*g7mNu|^-`r2+MYlxQ2lbhs7o
zKARUi$hv0W0BVhiin0ZZFr2B<(kPbOkiMbc>g58Pz{S6RSNksmwac(g$opS1TusOl
ziP%moLOh_0iwiWX508#sH!K1CfAafB)kf$qf;)PHlJT*zkD;_aC$0FRuF-MSisYW(
zf$nhC9AqB}St+FKfE(KO=R_Xb+dF}QS3ouq(uu#mf?emD%>r=uas+~Fd8MQlTAy9p
z|2*Fru5SWkAb8m54|$|!;$^^qlN}nrg@(v$zUq7uo^_B92=xQC1@N57wB2buP~kuv
zZLG*%{|T;ZN@{8&l1A2dgpsGfyhac)nCK9F|9;)se){PlgHDX^*E$<D7<iSHxh2xU
zc4#$w;N+XtoWYKrH;|zHTk$KVlwB^r-gG?sMr@B_9r9s0mSWm=o}V|1AciW*GNY`E
z-7ObKrmt6cv`nItWJGFcG?DxPBlJHa@t&|%u}ZiFA0R_(S=Lzw2)ZYt9c&W|<lZYP
zJ)snv&KUW}7F)l6c32VP!P>kz7);K<QvA}7LV$&@YjS|kF4L{63h~(pt@GC|@;T!(
zb%N3A<C#4>I+iTjsTVKesz>c-f8bM1U=5w8Vd2kWV6(hl|2~A$cm`(#AV<LI{Fv5O
zv&Z!qM0a`s8PnGkFAVUo)Ll>A06E>};<AVMY51&z-G_{ve7abTfmUhh*RN(EmjRWB
zH0o_=tN=*@WQYC&6cy^2raA(z^7C&!d@jbtHC)j-S6GD}M<?+f;3H_hSOXdW^r0z$
zQQte7kcF#{n%^ww!e0b=dL04R(*p^o4RBsUoVFx4cX?CO?2jKEFq}cm!Yri3bn%4T
zpr*bKIEAkdd&h4;X5ot;ys5w=j-0Smh*(N2F4fr5i^djk+{aw{Ec>-9Qz#_7T{vk%
zsE_GrPq9<OezE=!%E8UY=8k^YwA8I!ykE)X`^=Kfy%OkNeC)V^lzu%N%Qf8B==j1u
z(mDb=P+p@;F4Xz<47YS<U+~wsSRAKu;wHwY^NiHP*}c}pi=D==MYb)S##v1lRqmk}
zS)@duG)$!4s6hC=L)DeX5yqBs9OB79u3M~9BC`jG*N7Zj(D;O@uSOI^eF+P($^}K1
zPgOAeCs<o|LMyPXb%I|4dB2}#FOP1O!l>hJt4=2%OxVF4jDI*W!K%r}6Qo9)5LnF8
zoJ;ksU@=LEV;Vb^)KRyo8#Am{LfA<GUyw>)FhL(Zn(m*8Rto2uY?XI{2xAtq`b1i`
zPlS7_+dX2Ayk(+!>)6B=B`UGX6VGGaU*I|%8kV}$SFbP-h|G_UUqqS`5K@b~j2&1n
zw(Z#eR4IoyK8upvYrtbm=44@Efl(UHhOv>6ql1I8U-Z<@qPleBtK?ou?7B%vT_eFa
z6*Y0zm}0?4bTSvWe_NE5S+)i#uRk-N)e=v^z^D5~%69KX?%jlj@UwBDA!!Gj+Y~?1
zIkLR0ylP!Ezv30~Fi!*;P2gRK7UGdTi00{0RvKcV6K}E_I(C+^{fiQeg-8wc!Qo;h
zoMTJT59nQ``<_d0sfX-1*pGdnEAf}EZ#GjPyUeihBiH1Dt3y;ElL1k0>2IqpD+0Wf
zk*u)Nus<}#MI$SpHTf0n{j*sU^Mpyg?(Ca&Z}(s<z4oJOp|O%;Kelr5c}knIj=qAk
zv*;3JidrdsQu(3snT<qsrc5nXxyAT%|IS;%C`B1uDj&;AP`f&sX}%?z_OH^jivF}6
zT<U1c`+)WX9%_*90K576YHNKxH8Ydj0NOP`)8Gb`7l51qH{%B`h1-ueO^Bw#7fEn0
zu3LXp-<0V&0KEyzbCb!tX`bsSIEY*l>c4K+cqw&W^7eyeE*2xheN!#s4bn}Ip{F<m
z-YG1D6E2El=J*p<)%Cb2h+k+iEJh^D!Wa>8H>@1*W!a@j+@@?8Ls;syh!6?#1<@kt
zmlK)b_`!;y2+-<{zPa2#<j{xc^4!DJag&*UihpU%{w2v|e|0&Mq)J#|j}YsGGBTq5
z$HM+Njb@m=1nv2aiqI9D>NA~i(#}mi#6v|scSnj`r%+F>Jy_Ts7h3OHZo~BfHF-bQ
zN8^`g-7uTN&`eECp!P#CSrKu&4?fyJXPq>z;Bo-T{H<XNVhZ32dcHe<SAPO)lgvmr
zxUuYZaZs8yfw8gB_NQcHiqkxWX>C6ogX7U`DKYBhq_Bf;VnHgDlv?!SWJym7xMJ9E
zq~0)oG7riIEc~B@#hiNpG-M;aUCqt&K79BK$Hg_$Kuo*`qJt~=1!xz<?`<u#NeF9d
zXzX80uaI67>Wc(o<bbfvL9;Auq}L<^h}inCPoS+QA(5!-JeVe-jj7s;9{Zh<8Xk)R
z+j*s=vfJxPUrLrx^W;bs%in%by|tS+nqS*m_l=F^nA>$&cuIf0%KCG=b#3{C0B!8p
z2F+rp>;9rbKWEfmwUg8f^5^6xCW;pFwM46P1MEFQg}x3=v3?lAtE|h9lO6F6oN`u7
z^aq|=S3LV*PS8{HuZf^voo9AWWHsGkc9`zZ`Y>f`S{O5#S72Zuhpq>x0YC-1yuAGX
zh|XpQ1_mZ4-2i3$^yw2+4uRz3TjO}`UAX-Jg3}8E2*1K485;UVYd80a8OI)PB=q*+
zl+g(G!z~UCh&~%{9!MsM<NA_$wMlha$#K*6Do#05dLNryyzBmPlRnoyI(?3bH^`0)
zLmn4(LO>y-?>@@!#}r%gR0m3E?)W8$Uh@sHXqtLH+Rc%dICqaN@bF4)VtT&p%LGU+
zYTObUIm2=Zl0@OH`4voAS5@Bdv((E~;AV%?PQ*G|1-ezP6vN(7NpHY|cjAH>uT+{C
zJ&YA42m>fwQYBE>qF4+jP%@8BQEGRCw$S_Q_7aLzvUkO=p5|63mb{3FoAcn^6wE>v
z`>_6uUZN$s0Ad2V<buEd0tOrW@AC5Upg922!tr~{F~kGxRY9zN0E98_JbL5=F9o6w
z?Kg1QFk*v<0k{znyL=(*v|vMwHsoI6)R^8&(yiHwbFP*Pxc~cjs1WTDt>rRCnCh~k
zRmn13<Aqq*YKHM#uF1WY7NfNJGpM;}0%fZb1sq$BT;nL3!H9&eox(tUN4B6FJ;vmG
zh6L1qlTbOm!eopo_57I|Y!w?@AKgr_LMEC7cx*TtorIO!28js=;ZN5HjpV)Uv~ipL
z6*^7KrFruaJ|U(k?Uo2%B_sy#X1!3R6nhkG+U&XpO!;CxY#Tu6fcP&~z!MgUgoFf;
z3(l)Pd9n^!Zcb85p5b|&H~AMocjC4-2@6Xb{r<KtLvQhr_E#-woyn4NuYW>ogWq5y
zRiTMo2)^UG1Y3j^zvu(HKO<&cgk~?fbt<+KQ5jo&r5uJY^L@pv3GQeAA@tM`%m{5<
z6L^R_JZ4~qMN80TOG%(j>6ZmzWtS~KcN%VmW$P`DG95vDp&JOwK#QcP7!AtFs!nKo
zz63SlwT^ViDg#`_*O?=Wov8jFHZ)7zJQfM4N{pM3d!~(J#d_jV%D9Kb+&Naa1!{c8
zIaq0>#myDk-n3%Su&0>Ru;K3{P@o32j-sXgT_;+0Hcgm4%~)b_G{oo~T8)V9$NwHK
z^m_jAXRi3SX-b#DLZ8=KQd_}GQ9%ki!Ov|yg?|Xz4JH_QSSWdJyw0k)b>m6wSQuSr
zv9j<L_pG|}NO;7v!^wy7p<b>|z6}%EttfhXvi6Jd0=axs&yzFI2;P6%{Ol~qvNNkS
z+s&3$J@)k5fcaysk5#-LSjtB5F}xmsVZjOsK~qy3ho|rTQ{^~k$g_nT1cX?UNF+pI
z1Ve)E{>Hp2KXMNXze!kusMUnfMp423(@3ha(Putmot5df*b9z*>gHKo6uZMFq=?@m
z#qbw=PgGOC^ve$}h0(lv=yX#EwUj3@DSemMKS&Jo#-9W$ad%Ewhf0jsCcW}8DuloF
zjM_;D%{_5)krIB5la=Mn^fkTge8tL)kWy&%jtTp$4jt~7Kb<!dBA0^inB~p{Jr_%k
z{!nOYsF|7arKZo_Xj!?p@%<z+Z;4m`k0|<wWhTU2%>Lsu^jFRmW@N63HM(uf&mz^R
zls#_B@qUiVrF2i*u;&t^y%(i_hB5f}vHK@I8M{WDq+V4OEgK?*Im9njy|iUDIR*t>
zMFLs&GxdWN6k&|lk5N$&?=B82?e$CLCyJz_%e(IW&5US#P{A(YZDuTEH?YMOZkJPG
zSk{Pc?|VgHMn&%h5&@b*1U-wk_pWu&>k8$Ia^$N2N~-|c<hSH7^Mf0xPZGAbsE|t(
z>9*1{B+M^3?akgFw6WO4_;IvNxeCbU6<SWJdT0F6OUS5}J#+QGBHu-)KJD}^QCRl(
zcEakYtPaO^mw(Oa=fF<($clqYj?d7Gz@O0xkt{#<YPJRFqWB27n6mKo6k<^leB0fU
z*m{{rcvG6py%rsaBhZ{WgOm%Jny5@PM~rq<60-e<Tn!q~l3WnEtNdKECbX{~J^Au6
za^gb(3Kv7#pph6GE#rF2^YFRoV*1DW3Tc8U6q$aWEfKU{Qsy$*>^Wh(CwNlADBOE2
z+upytBr-;^j5|ugw*E}qEh$2srfFvzYwisySUP7qx+a<T_xJbq%;H`^U_6`zUnT|t
zngBU6#7y)7C=ZIBVLxXW&aclzKpx<K>9FX-b#r-kVD>clzemRG_cp$S+38ohJiKnK
z45ECc3(1Yift~~pFtVfK*QsPXTN<fFn@otM(<5mP@cU?*D$w{+bsZ8XQDpgO_BPMs
z_x!ui)yia(&_7Ph-e2(wjyA|(Wsf>iN;Em5$#NMQM%#Oqgo_+=33}QE1(hp{w9`{X
z_^7<o>EAH*PLb5kY-as!ZEeR-n@RB6M7O_xxFakqj6_}lTJZ!^3TD<|1ihH+s)DWU
z&ubtU?nn^OBq5Hy@ryg*%BOO+gGyu<RvUte+^vHfD;C|}dgy0^V*LyF+x!R_28UzD
z$z<ANmPc=>Dh+mKti7xI^1d|9@jF;F8(k_Y{;O`mCGwW|{xFjk;oa|)@EI0{ejXRY
zFcar2HqM#DH(7BzwS3>6qR6(n)BUtyb!kW|;^pIin3i}`&`JS9Z<^!gAy2int!<Qi
z5q3||hx;TC)q|$@dS?P(49rTP7S)1`!`#x&PHFW;PzS-N=(D#d(?1Kj)*zYM2h1oL
z0mJ+spoJNL>EqzA1!?!f!UAM3rMHilP~u~P>NBms{%_9dR@{k^yK!!?B)!=rdR4Gy
z_PvteN+NWxcbx?B1#4%smJbrglkE;sXp2$KT3-K9uCQrokCNsxypY-MCU;1(kfe5t
z+h=|t9@Cf55tfCg7%B8M(3RGUuVs|jr!~t;T=qT>?VR27MXi}*!*LobAA-AkG*d)9
zRov3IX=q)8e>L2mn^e6`BOBR$d@r#P^>jSzKjX_4{KNwNP+@Z&5(PhJ|11c_LqkJN
zAy^UAtZ+KQBM7U0&NX8NKYt4VO(37W2Cg8T%6sL-om|d}Yjq+lhLDW{e}9xNxCR<^
zNI82D5Fiy;4SErH*x|Rmh>gvJ3`pSd+ge+X{2#Qz0PY8fFGPcwCJ$K!YQa<hoty&2
zYE=BrH-nBk=d@lv%9`LMDtRS(!XSHU+Eu(md)4{|7pcY=N!PkpXvOodH!pTH(CkjT
zes^dUBYoD~Tf){imCEpZT;3B%rcO8CohUIQE+D19Ir=BzikyNRi!&ryamvi@Rw=1s
zax#{}+aC_EtqB};eA>{Ed5oo<4*LB*cXy0Mf5_pdSuhGQO5Z-u5F?A&=?M_~hJFQ^
zlocjzEwFC`atK_V0Vr(^4AQHroHR5NVc>--$Lp;db`bu43O*CRi_?8ja?@mV1H|nJ
z*Z+Ujy1${P3iM9^Z2&Mg6dG4!ljH9RGa{s|LKSaAJ5dR<QGVP!sK~%`K-y;L0GI&a
zKS%bXLBSb)n*&$ib=6DrH@+0!Z&2q?XZkL!Bd=a{I^j|~nDr?B&nDWP+2Zq^lCz5#
z{20kSmd^dLjd3BCk0!Z3*kdPB_g?6JcxUT=IO%pe*U&CBc!5y7pDbrgA~;w}@YZS8
z;*yyw0C~~Ee1dn-JQC$_kya$6m)Y4BMI7=2^A&+DKd13Oa^7In;4!ns_&)BPUeEVP
zR|h$M`aqtKp9ur3iXN#uyxYysN+&zGU&Ku1ED>>Z#X8J-s@E<QCot~yal71ocW^fW
zLo1gD9a+u)&5Pdr=c0U_;p(t`m!Tv^%kQ9PT3oF2n7grm(LY8A^f!fhwmR}6ZSN)v
zzuhzLYdhA?wnm6hQZY~J8Jt&Dcvi5laH8y$Q{J<4;JpORTTi^lO)7y?@&Sj=SOz}7
z;xbg*NE+G$5tipDHnIk*zqD-@=_r3Av4qk2@b`U!s-l&7ZsK}%u>No{CZ3r+K-?uf
zSTRUjQl~fvzHB7tULZ(5Kn@Mkr>_kTX=hC!-~8}F;+i}~PuhbyVR(2L<J~cUBY@n-
z)j;|Zps<4#CCP}`m>7ut+xq=G=gpg^9DAYwO?OglEmSJbtrP6n*?hU;%^4s5I6lrE
z_()Ol*F+w=r6cG8AO@m#<ADdQ&Wl2U?)V3f5@!>m=a-{gKJOC_Bh$^FjZYrmpzx~u
zUi<m+Po{uX(WYDVXcLp2UJMa}t8*$f7c#ZW!8Ed9FGMwdXY;@#qLoEOBTLio_v&Bu
zO=Y9}6ZOQsTYgWQY;zyEgzgn?lvXCuF}KOCCZieR{=OA4y+dX!5OPjVrZ7+Kh2i0<
zu`<Ds^2_YK&r{qFT6XGf7(628uPU?A{&juVO}$kw>zT>f82Wcv*)U(^7wX-;DW0Bm
zDTU1NP~x+k5MS(u{a19-$h<g#oc<I_WB|v3YXEXT`91?O{Ds*byIGpCLtik1#y`Oq
zK3(g~Q)0b0!*`|39oJB&G$ZRGCYa#eadG}?ZFxxd1@j>1?iX5)$W&7gOu#7TLC*~D
z30txq6b`KG`;3YOUitw%=H})G{nd0)_3T8~p`dWqT$4eN#_bHAiwJ_9&nk3?H1)+%
zDw0pjDN>$&HOQ;|>_Y=@pW}ydBO@aKd<pd5V!r<C_-QNX34u6=5%~~8^Z<_ZJzReT
z5b5ILA~XSAEA`=;K3^CM;$G=PeX3NcPp0A9{b`4D@4<P$A}0NjNv*hey{xFM+S|4!
zy3E@Eprj8io>;}DjOot4XD>r6HFvjY$HzY*lfR1BpI)I6`P;12A=pn<*L0-FAi@|e
zB6C&OgxP5t{D%DJ2<>i^53#S&(#&jZrDx_r-v0Bv54Vp3LLt*&X*&f&|IR8M+u|ao
zjRY2T^y1w<LBiXKboTA8cU5>FXhs#?BOa;k)g@Xo=)?*`V6?pOUN=7(inMRGN%>5@
ztcaRD=-$ALL8GEwsWX83ExOZCQn_M^`dgy>jm1QvF+P4T@d!~`zuPB`nZX5?jAl|A
z-ha<kGzf^zSi5+RyiTI&-)cP!-?c?S;@PqE5n=Xln9LniDhJ?vb@%A*4EcBeQl8X_
ztmSXmFU8U~#7@~Pz2)KaGb~jpt$gjY9o4I%kF^*nan4RJqVE2<r{=eoSkn1hh>*^+
zVSnStbfa|~7`827D1vwT@XwzsDAq{?SjXEOI2Ks2T-~4%e7gqLD$sWUU;|}4;8NAo
z){djSdjLUFA~{107a+&?g$H1D)e3Gi=x2HXEj#~wZhAa$z~xOuXP|_*u&$6QQ}5mY
z%z*EFft8@q7$m;Msb_k%2SgHtJ>2Mr$|q3g<vg=-pt?5Lz&~MddjR*1N5M1E<`s&>
zCu$XP2{_<p)#FXS!ooB$vVHUicV~6StB4X^dBh@$d1J`JV;R?T*;FyW>r%x<o4;VV
zBe{70kM)e-G17kG74I(wA8g$J$pt{vrN7$MB>r0^9n4a2U;1k@-(0+iX3*<A;^i8}
z_~!%(6{37Ob;hB;Mx`%Mr>UI<2nF22yz-Lpdg%44oBC_9EaW9n(J`MeZ=`X5`QAWC
zggH_$wqGt0cy5Ht|1#liuj3BZSgBkI-kvH)<;Lc@vtU=Stn5#MsHOWbwm*SRy77uO
zUoS6r=y!#Q4k{6VT=?GR``q51%hD0_a@T_CnRk!B&(GVp)M3%a*M7OjtD~?zD;T?d
zOSfCZsySAM#5$PbytjBWy_EsyA%S#|c&Xu}Bugk^Zz6WLDJj|5UHk;hX~VBm4Xa{V
zdht<;AFGMcnIlBJzk4@(&suHjw#DDa(Rn`9pO+V8v45j~2`P@PL2iHASdXtn<IWg`
z9wgu2EqO~cK=EmoxhmU}W;)N}ItATkOWTsZ&+jh^70S+6?e+>u{dOZm{dDBd#A8|5
zSy4o}$K{UOf~<n^IC8PR-M|~Lz|)9PjdMTfC!;DkTt1}53CP{9K*b^|`Xa@7H=DP-
z-oeabGIymb{orx1+px+3<D=WlQj0Ft8|bUJ+d&P&YP~^NRJg6&`H)2odFz|kp^2bP
z#3R(z*5)y4+Pi)R(^al1Js7Vd2$+o|v7QNmPLR2AB40J;V=?MBXXOJ?1#xznOxAxx
z78&B=fhJU@LFPo>Qa`Z2_AGwgl&Mi>C=4t&C1;Wz{r4cPlPc-%o)wawnq@pRE>f?m
zk7;<y_>^C-Rz`rInJ!8xmm#UfkNJ}r&k`En(}*h>c5nIEuQUQbZ=0-!4>M#(GwgLF
z{afNhA3A*?Mj&)3gRe~f{e7?fd%4Dyaw@@I{4@;G7nap|LfY<s!lM(q@}%g(qLaJ{
z+)Li^yVIsxka*C@)xZDIc$0352}#aZ9cwg#sVd8%aT)ctgmmcjV;5;b6&Z~E%(uk_
z5o6iaHtmUJ-#$e~5wc5gw4{nDcI7P%SBpA6X=q~WZN{-Wc>m&v;=7Fh^Fea%j*Y`0
zhmFU^<-*Ul=8ExFwZ^x-HQR6K$_pk+GB%3Lc1|Z1Dc{+0l|ZNY4^mdDRSc~RV=6UK
z*J>y5MS@hI6_V28YCvLs6W7nUvu<ZM0-1)BHCEb1&WGi#$j$YQ_LZ6oKC;v@d4KQV
zTNCfsgV*#7?GJM2>hsa^-Z>r`-T0;M&el{bL*6ST{p|!bP|K&5g_N(<(!p$Br-=J;
z;eKmVb*Ltd;sj1-4WG6+)rSOy!~R7PO@&hHjC#T*k(s$Z6o0ihK4e5hnl$d@A0~C8
z56jNo8SkM^YWiX486p^T+S;FzdDsr<e7wQ4RO9}!!-}xg5M!y#M?K}844yp6z1KH`
z$b#~$P>KHzlAv3JPsZSwqB@FMpyL({^JYDiYMepmeki;skJ<Aq1%t)tuEiQD<C7LP
zJYsF;9;251P0<ikCt~x;&lpk#ueZ^qup8NAQ%`+RbsBI`4h^>3QYjy0Uv|<D{!ypg
z!tXJ$ZLo+M6J_*Hc&=foUzW4e5f&|MF32?R^3u^m!v4<$D<|C@5`o9|KUW7(G2KfL
z)9*CBIlixG0+tTMc^fFu;5k42`}ZXf)7QiC=Ia0IqG2_J5$I?)Ub$y5*e0$9L`DG2
z1MNW%vESELU5~BQbYb5Ax?xkwu)!~XZ9xrrwz{@<_V+O-6{Kqe6Q-n~prEKYG&Xi}
zczA8tP*E9isA}^BGEHxbn$M(_ik5bS$^lHvx)it5C@CmFx{hRGTDp!Kgzt{Z5(s=E
z<Q_OUMt~?qM~ixuVt+g_82p^g^Z9SzEx(qt-x(Hp11--ym`rI^FWh}J<`bVU-DJ1K
zP`JbMs~a<i{x#N~Si;)y^G9TfvtOC*2XFp8`!H*_@}+NlQ9VeCk+&pX83rENRCCe+
zrM(M#{L*tVED4pdyU~gtwX3lIFpd~#b&iXf+((+y=(d{UI_sc~5ZGY_$T+6{Aw5dS
zG78!?q|NqGBoTADh)wZ$5bTvYL|!f-Jl{9;tpF>EVR%|8K6+sC_~D$iN7r2G8(E8u
z;ycmbb7exQEPudt2c=!d0M}i&L!v#+2MwaS_?Y^l1C~f-=ik#)ZIOMjy27d|piOBu
zt+xnvXaO(@z(-}z1`>V)K@|a-^ZLD-3UzJm)s>YVDhDu8s1nwkfnCULw%T0h*9nBg
zb`Phd90r!n$;!eD_xAf$m=&GZMi6^&j}n?~-r_{h!5!}eB6arWKm27k@AEmGqG(~N
zCNq=Hbrz^%&GsaRFuWADO3?OhcqI{uanJq0NPW4&am0#EH3qALG`*{93mzM<^N{Av
zpH#~%YHGaBp*l<Tk(UXI$Np0^!M#-7>0%E<86IR#p`T2sM{Bv|StGZX^O6H)%o2vM
zyuaN~>Lq+Eo0ZVyK-v&Rg5Tp}(ABsW@ylv(QvX}%T>Ccz<A`<^PuN{IK@<TR{G#Ef
z071h52};Zp_?4QPDhebljCCN{J?kO57Z(+^cW?k%lphR&*~h19B6%^H!?FeX;i-qt
zMiM$YI(SjZ$X1t@64TSYVYC212jt+7vczg&b}%Ee1&s%&g~2BY(h%@!-wU_^bjR5N
z_S?NbaBU*+snm6K*Vos9nL3=(QUjcohmX$*vYlZ^{P^+XO@1?J3yWn^wZ)9CTUk<1
z6JreP8IfVY@%uoz+XzJ|ko5R8!X<!D!Z!l;8CV{#WlP?^FLot`bNMc7p2+7Wp^ujg
zYNGZQeG};Y`b*z;Noc|Df%uq{?zD_IrDV{TxjylZN0JPMF??hV&PXkfIyt5<lGN6>
z*_QOG<m;y?U){5>U?ae!y}}m?e-rF?d3X1oX$!ty9QvEEitx82)$(O&(kuFQjRF?-
z_nX#!xStD8KfKY`RPtBfoz3Qh`JkO&L>(nRty^9N#r7hmzFm@1;hn5#?)p$7{>mDA
zV$^>ftU62~FUva5Zm6l#h{$D!=JMslqn0)^Pfp7dz9=^@vYqYg%5foHb=tzD9=f4o
zSfj#yh~~sA+M9)GOvkx%fyS&AyY|EA_R#9^H%3{ZtYq{m)TFif`Xkdy^_)}B=??{!
z&f(%#2Od)jQE37f8N3yqZz*%<4lp>zf=$lYl7e>V0w2*fb{^?Kb)VR$w~ubt?n1I|
z7c&GQ!086=E;V?&!ORF6+;p(<!Vch=U1~{Wj2nSAPGt#}+MVfg${f$^j0_r}7{MzH
zB40^}<_0mhWgJ+4!^6UYI$FTd%f!TFRcByea4o3(%6L6XMq!IExx<qK^=V4rE(6~`
zl*WPp9fG;7Th2i#kbbrJ?*t-y*5|+{<qs(?03?XNEzJS1!?S0*(WJVX1<XFS(x%AT
zfcJ(EDqEP2Xg2$`(#$Ylf7uh6awSE7xUJl>b{z8v<)lKBC-=%qW0t>)yz;G9X*m^O
zY7qi852X>!qi<h^v)}G%A2`zI>Uc$3P%}1Od}Uxq7Za8k*2^P;b+fV|h2pXCB7F!&
zWGKG3_Y~Kqfq>4ow0}_jA+~idKT-ZLjl6)+N|Z~GxWQsqyteVzYOP{^VM?YHX5SU6
z8#P3Rl9fLKq~sD$ZcPiBC&)~&%g)r)`5@BP0t7Dkuga0RZ_a+Dyj-MT4ox7qsr;2L
zUknTP!UVlKe62h8Q_5I<DOG}nFp5bzhc(1!NY7-f2c|@tq@T0|#cekfuZsP8Kv5U}
zxNi*mOX05kr#`o?oR>1~{>#R6M1()$PYpBKutegbeCST!<(7H&Ce(`@W~Mxf8g;h%
z92RlR2)FeXDuQosXYm*%6#ch0Ev}~}Q>s(sn;8O=`)1#dSZYYa!hF5GfvOVd2YKvR
z4kh_a!o9lpAit-!tN_F0>OQFX{lO3dmfoR}k@-5Cm)?&CS0JeN4rSQmS}UBH7o$HR
zc?W8Du3i4ubx=?yL5F-ze8g=IAmbCvc34PYaI`Nny&e)X?>Gtevq6i6<t6I1*y~e4
zq^z&4^z({YFRc4N9dPySHvEr8(UVYfM`Q5vEdS}EE9dB^v-44xU!a=GRpj)bFTe8e
zqL}uLo1*f<P*2S$nCq(2w^#c&l+Ti&i79=-9dRD5)5}x7=MnCYb%!HflFez9q4!Jt
zs^50uV3dgc-gykp9)GWSi{I3_!IbQ2Yphe`u@!OIt+1usnS3|vV0?>3>VvFE51Hqy
zxQx;0-PE;oo$s_<r=C3w<7m|CzGWyVVv&=@7~s0kjgqz)zuyy;jQM~o%^?b1PiL9<
z*l<51%%-bY#$1`7%)+>BbpgTkuS?w>=PP69=0Duhi=aX!oWLxZj(*NLG!u`DNrUNr
zEgywi{96ib-8ytrm|o}0Wu|B^BK@`-TQqXXxxXSL5MdogJyKOn!^TyeUM_*Fh=)D=
z_D#wj!KSRU)BAIXOm^{nH=98$mwp-kKjmIkY|n}Ip|Mt7R|BquYYh&dxQD7<ph>M$
z{`~zr-NAz5V2;6@Ibb$>KMPVR|H9xft+P1#b^W>x9x-=FCFOSt2@NKOh8eG4+iFR+
z`<)#KjUz1u)2S>$>gqIAa^tcgKi>ipApYb0g7ohx1tNm^N@Cx*A=3`VH&-zWsx6ai
zLem}_3y97Qf-OB_qL=STMw|6*D_-1rsjI_GKOv?|G8p29LQq<`7p-$R{?s`CE&9(_
z&Uk5!6xnQi1PSS#WxAY4p51ouG<w^yQ1!BS3E48q<R;3?Jck=>z*#>Q>?Ao+D>~d9
z<m@LgQbmYpV|1ne#j;6qt9<k@vIObr=o70Ok+>?tsK=8|!G!aAKb2!Y%qVBs-9_Xq
zB%i+;QHZ6$^}>&6f0wCrG-*q{s^ZCpcD<*Oi-)T+Q%)Z_ZmUH4VlLLl6o(SSD!kqs
z)FQ9b$F=IKxz3s2ucGapU{ClP=Sg0f(`7z|`%qgO28)8_l@;he8-rIo5QO2Nysg;u
zgYcA#3%{)QM#V7KQy8`Td4o+9j$0(8a{xmO87xJlz{!<Qn*nNncjOXi1!AK)I7H*(
z@CO~Ma6#$&bFz3GrhaNmNEQA2rQ=fPR~USnm?b1K1!iDt6%6kEBq_YOOkCGxhf><8
zj1}onLbXAQ6>$21B7ekFumYv;N7*;VPT5Z*c;rPlioMyLm;O}5nE4v#o?AYh_6t@G
zspL-eUCm1?w0+5l_Ql8Iz2{oqAbU!2X=uOVv)d+yeF49OlmaUZBW@Jr?~ddBmA;R}
z+~ZEYnyShrX?w{KgMIMujY_C&NjXg_@x5%(FF~gm#FFD253A`2=wsp}XHZ;c&*;BR
z*?5g2J`fCL*q?NsmAzR}4?Qnq$x>0#4_#5$S|@2e6pO!{pqG$PZ6?X##2OEX$@_w!
zTi5Un&gZIz7FXDaA|fM&`ZvE+G2Fb#E#?jIGm+$xdMFkFAw9C>`9phDd`uW)0GUPx
zT%5v--gS5Vr@MDyadGAq%z9vzy4lN~xiVXRA0&G!DsgxH{o!Am`pFbJ24gL}f46;E
zVo5|GM#x8KtL564-~0L5Q^LZ}<sZ;^(${ur*Zm|$NfQDn@{xF|GvP*Jg81|#K?0d{
zrg^vn^oO*^_#0+gLmuk0MzVxVyfK7~b2!}9$Wp^}T9-KB!tf>a2q<EdNeJms4wyer
z$mp2%k$+*#F})kY{w31lMko(T(g@K8_UjujDX0=Ey|GEjm=jv%RT)gXU#KK$-;`r|
zWnp;A60?Ys)vwPH862X3k>nOX;t)<b$~BtFY|z<Ux`(wynX0zm*As3><{fqHNnqVS
zM61`1mNohXp@2GFJHo+EVbX&qCU^hS<|GGRV#J%(KM!wndUcZLQ}&kjEr;lfZrqpR
zY-u5W{`lfV@x77G%87KAj_M^>dX(z@p1LT$t`4Qtx%v>gqezzAd#j5Ig6cm-SMKjp
zarYx6=}k>ZB>G>!d^ryCNvO2USq_CU;e*G=TVrQ`|7NzO#MQv+6cV^#q*PHR<fKf6
zi<|@P1888VE!*4M!SWA^dVB(crxUqdbkFCzsJMA~3GwhO<5JSn^vb{fkLOf#TJ6cs
zKcL{^Y9R83$GGJc`<&%qyLu@`8>x?NXI|5(1J=~F)+3f^vr+-T4bq-$`Xqrf7<hD~
zG46<wP>=VLVjg-4-V@x(;Ts*LvYbkf=T7J4b1h|>ca?A5Pe&n`zgHNfTJDBh%{HV}
zkl0P^ezW*~V!<QgUrfCV<%4T_(=M}2WSL%4#rlODJ|epLyPO>aQDb5{AFO?D{RrG!
zK^37PoLi@^uGX-Np0Gk!M9l7@wECARMZe(Otil)+;WXF}xD@bv#o<FcUf&^8h{!gr
zKOlMk`U#PAJKE|TqSLZO^+yC{6lt$u8(QY^oQzYWP2H{7x!3_MKgzRa;>;Hcmc%18
zW2C`d!H<($T3W>iWJ7Un+;9|CDZW14e~7V8b|`bJ(w7sDvgeyuOG#vtjMeOCY8DB6
z#U7lQah4_Q*bW2F47=VfrPjDL)Q>pRcW~Z4W5zlP$?L3xbf+|d^_7)6sM(IE;~oe#
z`r!HKab2!L2b6}wp!jJf%D`7mRrN`n<lpT&a2g)$?J<s5n0B<E5%EjiEsn&ZeIfZ3
zGtk9)d`IJx$ZAgV?O4gZmN`7<&}(3aVKCGWgE?N9lpQb1;W#*rByA#8*_l>kVqKn=
zJX}jWelU_LfHU{j;ZK#q*x0|h!G8y0QsW%hxw50qd-`8(ewIlT_SJP@G(JmNCW&<E
z?B4h0ouK;>elN;^L|_RGMH@}M&c%?j#O;Q{2I$L3G~OikR!;_>PfbbOb<u0R7-W@O
z9(gtViI~cYxB^lH1}|4a`7!xrZulH3ME@{~GY;hm2-trjFFW|rn)IaiUb1qD9FBU(
z^JJrYVk2P;w5^7{nAqyf;(T10%29#5t_V`}oA239=bh{fmQtz@-v!H1@ZFPON>_<T
zHQmG(WRCdz%%U@DX^^ir0<ANf7U4QOBrHx4im!%iIqO-P%>#KQpw1Xe7aG_W+=j4!
zkh*v0X#J<MRhHVCT|&Ya{MBG=a&dD5S=rxfy*qKP+n_W-ekJ!FNNOQ6jm6S&u`{^!
zWQ=OkDC|0@Mc^tiDJlP5I1F2mo&taBkNGz6Yw8t2z|$^ta2_%o3~iqLnFvY-7%tP~
z?w&=P@qr$Gt$G%30+AXDg^$#|)Vyu?ZOe_V&K1)oUm_`;gReD#CMp)iKBjLnWlQwl
z7mD3Yu#!QKavKvtDfV7b`ZfKOR;UG&I|Kh{MoCaMl|~2|?#U2=h#3xc8sjnaSN406
z|2biQ&rCVwl@pSZg`0k#n}&Ly<7>e}tlg$#(k!Y%KTq}|N~9<XQo|=U!b)Sn;0|r?
zl@X2wYcZB$hkHlEF3ysws%;vgLNTSk_T0Fy2h)RAsZ@wA&7L=6^dD+!{e^N_Kxz5a
zNhveiqlyv<_m0?5&%C3fqwDU+Yq4)v7x1@0dDQv8AO>m$u4@PsD1m$=7<T~cdAQE_
zMRUpn^RlXg=aW`0ie5KpgB0iy#w}$n;s3WOk<x%nCJtU(aA{Afj7)$&8Gx9K@(I0g
z$d~#b{|;<38JU@nqYD;pz|HKZK%qdI!&WtvY@?f&xG=nA`me;7z!O2x`ke7y_Klo}
zG6YW_X*am2<46-!E9L9HdXR-qw8Ns&74uHw9^)ywG}f;~fmy3lS_W$F`12n2pwSTg
z_hcJ;k0WI^v-WV9YIB?VSEL_u5oRIivcd6`<~$x=is<}7=t*09BJn^u-la2^i#*=)
zx%tx|-Hy;0F9z?y{EJAYl|E|uX{RCVt$x24Ym~RyMpVR)#7TxG{fPOD$!XtE^kG&R
z_LXW5ojJ3y(6EH78&C~1oEisBhZI-}ul`dy5FC`v(#V$xN((lfjSotW{XCca#>5v@
zgfZ#9JB^i#eZ)fPdJ^Lw#7&!T+f087MGqg@<F3B1&<mkwpzO~M{F05u&Gi390TK!I
z<Kp2(65Kq23cIEcAFd8_u8dl}YR*6z&JMCpZfLxN=@cw~Jlx!P*w|i>WCv*vf`Woi
z#<S_DslNg-AMlUoj1Cfnz_K-2(<l<(0$|bkdB&BP?+MS<7Q9^)yhaKp*!vqg@-9uy
z%>;DfM-ZUP!NCDZM*WZx#ruQ1q7AYNCSj2Kb96*zy1c%A0@;><$J2VC000uRtQRHE
zmxy2rn?*#k&FE_q1uFgmy3?T{!E@9o%fE`g!K;gA$`}`K;`Iv_{}Lb%^_Ok3)W(PJ
zRh3ws@{TUWmiSq?@MO(~RIYn!mXRrxxRCi%QphR23OW-jx;iYy5}4Y4Ruoz2%(L4O
z5$1V-k>o&ti))187X2=AxsR?K-)b$d8bR;+^6b_seibdNK|Mj)F^*@}j4cl8ModNv
zLsf=vuC~`w;0?Nr&yO{gv_zy?QGHjLjtv*?jZb`APbbtT_mMzJm04!=c$II#l`QdX
zM33@^ydRC?IwF5VzOp>7hD0|V<z?8Y2#!IQ*CcVhrIw2%vr*fLbKL$LbM4f2=G=B$
z)n*_-l|-j~O&)%Z4OU6>uE1?oOncH*BGvop;Nb3FQd$D399GfRvH0FUrW8;1xjY3k
zJydBv3%aCQy@z1%DY}mOF|3D==R-NUURW!CZ*BdZRJ*66t^JxgJXlo%hG#Gaz`b)9
z)NJq{`~igkMF%+<8T@W*h(G{f(8kJY6+9IH$c|oH+Hae*dV#?t{-@`ou6JCBTA>^N
z%Ydx{D=Hr;1+1t?$3-)YlrTf=b-XPs1Vd4<fG9L10=|__1ZiZDQV6n_A27lwD=BTx
zyt|o|lbn1As_EZzHaM5m|4k=c`T|ZX@E&BUyoCfspkovM4Gj;&)BAB~$UF|BQ7wV-
z_QSt`6TTg4^+2ojx}1%_AH4O~R?#QdwyWPTlLB&VMSl-iSstEkNHKw(fB`y4Go9KE
zqIY>gh;a%9Fj8lQZzNeBYC6vcNpkS=Mx>Exj%DFjupjcuZ9f2+N0iWGrlT>YnvECO
zR*iig2GycthxZ~~Wu`{NZy3_rlqj>ZfCPtNLeebB&&s&JE4i#ob>_}3OP(S2wY1>X
zFhMeEnHiyE1j9*%-X})ETtg(K2)VQaDc)|4-=Ow;<zAW2FEuv2MgbN5<{M~}>g4k{
zTex2~+{QMitKW4A(wDF1Y<Wl==nWKw{k+T{y2H`Y7Q0mI`-W=o1Xbo`#O2o5{c$RZ
z|K<^bd(jErAc)@u-#CbX!QGe(21G~{0%Z{(m(S;29)jNFYr|KV_#yZSK;2Jsb011d
z25H}2Kx9|{zyOH4(*>Rgrkg;km&9%pvy_y{pM@F5%@)MM_wSOBP6&t={7I0jLnUIb
z4eJ>^94{H}wOb7(fl#OIbU7B9zZUt9j*oYsJ`U7P&@v3>5mGuj0%2FsGCvU!1Fh5d
z7LRMe121nj2<ss<4A9Qmc7I<8JAvaLa>90D4h7XSm>9T}*5v7>{F)4WJD_y)+xw?@
zA|zfH9an#@7(;>tJORkQZQODMbw3b?5(o-?$UKyS&=~+%yuG|2M`#zWemHmNg>8v-
z7aNWzf`k$S3JRM>w5O|<vE96v?+8?j;+-oV{*=2^nclA)?0wz(X#TV~=F#)ziN0m!
zMFU2}%P^#x)S&bpYyXY0&5ajjQ@9peq@T)sMz(flzo0I7Avy8FYAbxakJs3VYx$N7
z5;ebA80e0EE<R_xJPEDfKVc~IAdh%663lMR=N+AlNMAQDp>5?))Gv7#tWDjZGBZz+
zc1Zq5{muU7$12^k3$r-&_=M@-y^vREpny`2;Um6pyJeDYgg$7#afiTFn)cgM_QR{|
zd;PVwE3LGK)vL;=KSM&VIJH`D+m_(+KAWI#(DlP}eR<2NSmw=S^(?K;H#UiaFZb6>
z6*I?8zNcaSz1#aS$cElJ<CXrvuN}gM<{rVBYQ1v0Ns+LHxa-izr*ob#9f6STT44fq
zAy9I)Lp}k-gN?lw2vv)#Dk*VxbF+*~S9yDI;97@f3Zaow`WhMnK1a66Lr37r-CUT?
zkT=!?v<s*icv@^hmkw+Uc)eXlF0SKofZt5K_V2=3@Egt;5cvD~A>VHSha(f@4?91I
z=>*~MfG9ecG{&X=#yJiA_`z^^%cRxzMjfPW0OtKMhX}lyXu9x4AXa6**81b#Qco4w
zb-}X%Usb0i?0L1r&%EG_kkvbxDrjl<2GPq=8MA^Zls1P77kJ}SBZI6yFJ1N3Ci^um
zF?!>aZX~CnEGql;&rrTe`|K<&GRwz^O&#bjNgBCNr={E^PjdfV#LGr5E=Aw|UN-L+
ze%WyXEZhksDOh*uWi_`M2Z#x=wEVtJ2#Q*v=w*?Y(^6`3WD904+!lzXIzl8brQrS^
zBogGLGbDKH8Z8<3qXoTOllW3Lo<y!`@sd<XUW7M3f_Rd5nRJjItvRUG^;R=|uaLZ2
z%-#;Oss6D?XCvvi>TT4s{6yxrv4+YK<coYX_=0!E#$0;7xls<ZWqK*2o^9r>|Bn^`
zr%ScFZZqJo)W3jNKJWHae32Vt(GxXgk8W~$L`T>X66~TTc%J_%>ntuRGH!Bax^=4?
zETfRx#LdCc1m-<}POc#rI9$Q@iNM56r~3`l9Y8Dv4_`{br2)4+d>%him6w$0L#$H=
z#E-(IV{Kz|og4}%*2rrCsOkcfDjT=+7yG6Jv>dMsR}&`1C!DeO1S=hyhQZ(frjGx(
z(;UCT41$M;2i=sPo830R%uotz62PZA##H|wBiX7Q1WBDiLD+TeBv{Pg>l(NDG{DRW
zn!)R94;}z*ZS5Q>|BH(Y;iD`$2%NfvF$2y#h_Do4W$nwNBPJs|8V|g51Ctu0Ay)3w
z(@fyQJhAM+`u#w+xgEE&ah~=p^-Rdc%bwf3TC&t>&a6(a-X)2P=v&u|1et@2_Rt;7
z9Ii?aTAJ#`EY>`%);Idt>RaM+x+l|Si|h@NPap53Oc*~QO^T_<`if~~v0aOv8J_$v
z!77S}vmv%%t;UQimF!HT+aJ4Ncrd!iq~Tu49I_W(`O;oX<Q?b4n9h(!QiPQ-hVF04
z($)zwYsbf22!D<b=tlS3w+~P^SCe)1UZv&ueD~0H(Ho+Cf#30ELZF>ak9naH;nVEQ
z>R~)W{`qYz$=6`jYn`k)vla7RZGwleLetwD7_ti|s4vyNZJAS>;q2hZb#tLK-xmAn
z0WaX`UJnuI33u1l*0#1jKp7p|qYTHn_d9Q%FPL9{-oe&1I51FLQ86+;&Ii^%IQ8LO
z1|MMC-O7dWahM|=P8T6fisH866hLi@i)Q`$@L9d%G}F9mOwi5hx_BK<OGiBgn&sJ!
zz`!;`A+y{kF6;L6VH3$pxunt=Sd81a==TSP@V&)Kd@^q+2nDkYG6uR#i{oE9SgpAf
zb(-FPq8s`H>p7MqLsJ}W;5+3~wXsNE#cUPB&m<1VEqbFhc5*@Tnh4VBoug;bdW3PU
zVytrbXB;R=%%M3h6&K04tt^cp$Xpj+-HgM@KGc>8^T7hF9PPALl=Y)tg0`01INnm2
zzMdW%g&(%0+%4`?3u-Eo#1964!8%*sYa}qbAKU@REiClxdmbMPAj1pL!(=OeA+ye7
zCf&s~W-RakTYW=%Q=aiWSBz5Ju11Udz7j$o^E-rZspGL%iK1HjYB6CUu45hWoua|9
z=!8S7I*LQnc}bP}jwG=XG#nM~ktX-w6`Dno-$OyRn<(9XRHXj_yBCih3$Z*)*K%>H
z?}J}6rgmvRzM6!m^5<VyUi1eVl+3f%?t3GFv$91?*a{1Vw6~W0zRA~QE1ut^Egp&e
zfkzN5U->@HBN%H&u|}xCR5xZ(&!+oYQO&<-sPBOk(o?*B_U{vYh>$ny3|rL)N!Iz(
z7#C3{Z;7)h{~=|^q_advd!+L`57j#voPl5VNh}w-Wa=?~Y81Um6-x4GF}r4^@!BLT
zTmNiJ5@mI3-WSWbl(N^hh#duM7wuIaGCx@NjN#6T#=~5>|J(}aPCJr>p4CgboJDcd
z;8b~48TXftWYb$|inWk^mbM?c(<}0~vTa>M2JJ_X?m1+$9IxNDp)r09#6O@La0;f@
z_g^;ki`2E%a|pcUR<^q3ce9f`CTpKj8ENlDCq3}~%$-K+Ex&u=r{=f)T1EjW7-u@S
zei$jXe!E@Yl14Rw_g@)5y6>X5R*C+*X}puwg*gl-?CQfjueR?`LXmjoe%O*~7ZFVH
zTAe1k-#?-$z9qEyxl6Lqc1!flNQ)Si$4jRvZXsGWOdGW*?`9SUsU=cc%CjoUtnD2z
zI7z!PD<ds_YSs~tWAbQ!##gE|8E9TpoFz4o&Bk#Kw{pFhd8LIcNFuh8w*C2%d-Y?J
zw#}-B@`u|Ir*5TsDe3~fiF7TI6L)}ghXamX%`l$_SO;-PB<Ssxb78FjCjPn_7=nZ1
zYH&!|9Os)r>vnxBIzSL#`*$}^5Er4M^Ac<a4=j)i36n)m=8~)^I7wY(ju=yJ<Ro)$
ztu`F&`uj?=F`*Co1@L>t{&PaP@W-^fsdX9khUmm=aZSdDr>}azORc5XTP>tD2X!3{
zeI4_|8mh%h?%(&U-e+rXx2#e=(6NcB3Rm8f-4|H$dSt)XVYf$gSjmMns_t~wkw=-w
z9B00&g&<CqZ@&m|ku&Xk+&GKq0@X<mq)NT&`_LU;7Qc#<{DiVENZ~|wz*m8FFYpm&
zQWUzqd*lU`{i(3+?1o6tpBF+$*_-sgQAp+b1)yPQ)&A3#JTud!N<z-v0LojwQ7d#P
zG-wPcExwD_QHG$-zaDO33dqmThj9Sreh^m|wW4)EkO4$(gVzq`h5x)hSoZk;hpo2`
zs&Wnch3S@V5f;+YNOyNhgOms=(jX1e-5pXYAt9ww(jf~FPy|Gfl$I_50nf#|zjx-F
zGsnO7>=^-B&vW0`^~(dsqtq|Dbe8Qu#Yge&zGZMnM#=`>_#UgokW5f}H`e&L&ICoC
z;`BuA9&V5pBWvMSyh*8dqAV+JU2&yxG?(zBu8MDnpk!qX*8zE=W76-c8_9y9$xFPl
zRnsvF{hmap%vp6ldV=h8w1^RD-QPy9?w}Bx-<TwRRM?G$Z)l!CdQ<H|@80dGp}ucy
zkkLtg$-k#kcG*5F(Acwyz16lPl^MV*_~y?EN+y5RgUHBRLCD_GCB2XQxNbyhoHx%X
z9ct$e8d;6;pR@QTkb7fg3NlP|3%;du|Mq4lPy9BSVm%RUW}(!Hs0#ZYRK%)kXuya)
z2a<(fzkY#4brkk8(90ZyuMlQ#(7eEycYJbkwe@cF+UW#JeMoo$?CjbM{s?m}9)$i1
z;3n#n)smk>uX!1t2Z9c_p@W@g{KzDcH-=4imUr29yZZ-?JaL=)-74-9af$4CFh1(;
zx0Dumgj$MHY<q*o*+jNcMJMf#>Av(+-v@;B#6*e3eq1B&Y=05EH`jE&XoRp)7~lLr
zTDfCr7(BPs9o2fG<VDbdb|T5qiYVr)mRM%PDK@P6Om<OYyBE5XJRXp@bvyyqJT{`I
zwG128oipziqZhx72eP4S3j6dUVhoOME7W1P{^)ze94Zy~MT(qolKBd6o&Isz;&xhq
z9{gs&$FUA2yD&D|JbVZdu0SCj!EXizkiPzY7%7Ee^8r{2^7XH~lE9?k14|aHl(70d
zhn!MRtq|{*;$ZfoP7cR95Zli=*bcUo!^#}0{2iL<G&X&Rmo(L{ef89Hk1cM0F3o*9
z%!A;!Pl@@s)T82uRqpwZApkT3i|AH*jgE0*^82SP8d1d~H7CN8k<ajxtS?V9<Wj3c
zW_v55TXegFIre0Ihw26y4wFo;I&+Cm4S3xX_$1}Jo#SSa1RHJ3Ij!k26Vt0-V=g`f
zhNt^~;ooA%TKV?+9SdRWrL^e^MyWJ`5VG3risCRW<p;Lvmi}5OgHF{M3NMP~S!$ls
zT3yh6$W5CG*aoa@p7yFqpCKdunO_;7=#z~*YER#E5td}(5+RJV-oCw?DdQS(uPOYq
zEeYpnqDSj}r4LgtBf4)sb|M%nuz8KzqB5DBDZS4rdlE8^GI4rRd3&uRQbgNwBjP)r
zbJQP<{njVCZ~G*&{XUvpsc`NI8(r{Ic;7sjN*hzUu|%J$vq@*B@8YtHL?U5tXA~3j
z{rXA?G9pA6k`fYTA;l7u4}=WTTPrIWkfjd*RjaSZr>P;{j#m3`to@z?LSWarb_;<a
zegriKowvL)PHK$@?IQS*HJg~4B6gvOUdECWv2fg&MkL*DXF0aEfMxGog3ZXQ<oc}Q
z8U=+aR9u0feC(XgcvL-B<cjSH#;OqUn%BVz{@9#cBB@xdO;mPqs`cG+OU*A@)d7~G
ztPTvw(fU)<-g_UGE<8{yiI|5FK@PrBreR3@q<E?rQ9;=(6ucKTj5SRy<b`69miJ?+
zPskCjgjMk)bfY;w+%Z9R4ON*oool#30cxziJ{apAk&*)Yey-YY@SE+EGf2!|ZblU&
z7jcL#K%144n>!6CDG8G@M7{liXk}sl1(43Qcx~tA=U*27yC?&x2`GbRU^N02DfL6R
z9^w)cs~zZl{^unwc}W$MZyVf(W!x%?Vj>`!t)~BTU|xx!o@gPCsn1(rH`l=3hlI|b
z13az2R0Cyi*OhxVrLW_DSuh~?KdWuRIt+dN)YtE>1k0VdY<Y3vfv{qHDp^vJ!(7R4
z=~SIH*!6OCrw(O0*;b#tO7BJ|aAc$67imo4?+ELz$mR0W<b+1Wt*v)kTJ0|YLD|Vl
zf!T2|V1iz!6wGXj$WeKqCC*lA@!68mGOwjy9oZvhdT#3~8sOEp&qVu%;q04Z!GL#$
z;r@x(&d`%2G@Zy)dp`15Zl<N}SvkA_cq?UqM*$snB#3Fy{y~2>$PI~T1=k~}EU(>V
zpqzmP;@ad6P}p^TDrDjakc0P-potiiYQ0vE)0bVF)pwbhzs;&~i8fMRVMRoJzPTpE
zP_He7TSqz~F<?sJsB^)RZAx2gS#_`Hoh-M==NUG8MTFd)JsW+@4L)xU8)hy>HKX|q
zs^DIMJS;i9$w;44B)Q_i*d%o-A>E7P7M2puDy(4Ep0vG`tc7*-fhSIFgYj`M<r*3L
z<+k2qC->Sj3rW!|6Cu8#BJ-288q{8=Mxx-cg&AZbXHBX)(}qR|JckC_lv0Vtw4Hty
zuuTM}Be0)aE;6`&8JN$feeWzvBU#3pHfOftjpA$5z1i)CCrQW8xd(SZ-rdLA?(X%F
z9S(+}M8I$$$m&{9W>Q-Oh6Y&vEgGHkO+%96;(#*;=EMl5TnJUY&WLd#vcUfTY>=+M
z(Y_6L3<rhbsNNYRMpm$1>fL^gwV;DvgZW?>y9&JsW#*_eE@mC2ILv_epQOupXZ;XH
z;osq)1-xy^KtVMvHmn9Hpv>^ZeVLUNdqj%I@|wS|r6oUJKcI^BIj<@{zN~_EGqvqA
z!6&@MtLQXzqVZN#FDd7>w`kH_qS!RPTTnKBL+2G<k9JT-6Ab_I@b2w5f0kxqE@!Gs
zmxFJFY6{i&A3Z87kN)#>(+(06Sh8Xtb`!q{TTxiwHubc1qB^Y@)WKsYTE^QAl|&k#
zWd-*8u2)~XX8$uwih2muG<~+cx+(2q+xt<Jz!H5_@&}@(CUsgAxj)t0iJb@nBu;#1
z*H2Sr^GOxYBvz5@f%W5LN7$Tu3vJ=iMtQ%7(EEL#*KIM+BYdg)QQZUkW<Le5s3fLh
zt<ND)cp0TnFeoV$rbQnK^mrD3MmSJTp$i<{3geBIolJYTHhJ1kyNZ@cZ0Z%)aqFA?
zx~m*-HdVbH|9w>INI?QFLd#CtXcXIG(q@&EuEiy(3Lf+t?EV{sb9&F_UkPn}`mpZh
zNqkU=Ip>y)=V*yWyem(8!tUGYy!z+j<9UOlEd75Uqk?6KH(~IDY&MTiC~j%b1cnp@
z_${T&3ov${^a)7Oq;Pua?+Lv}GOLYIY~g(^#`=s<SZ7)59uak&3*(kK_H%RCFA#Sl
za`Mvqb6bxV!CHr2p7o4r#zVsW57QrZf&2_2RYn@Y<sP!$atsvT$3hz+YusG6OOdVL
zsk|P#jga`_Zq+qK1w27d)WljyBK${^UW2MEzTGFr`{5Sz?yc5m)>_sR9GLxK1f0ZV
zPMd@`{=Uf0$tEvcFzm*XM%f}dO>qmA>J$Pe0<y=D{PgJP*|jfF0(6sFxlK0B2IyGt
zQ91Xfs(x!GKSI;h+HaJrdi7gL+9l~SG+r_JeM;PA)Km}F7_MriZMg7&yv{lLt+l&u
zZ}Qtq5xd7Mru{5zxds;tp2UAW>!$D^%Ac!b@niBW4?5;~d{SHETU04>le8$@gx}@S
zlj&$${$QUM`A0`-b>cB=aH9yGHhLyCcLu*Cb1?!7K%<Vk3QIp~CjUs1Yha_7)1OX<
zY-!TO8Q0}5Yz%&K7xo=$%QTcJHCIiV4d<^bvs+VKoma|yv@qDhS`CA21V6lss~a1p
zW@ctJ1qK6${~HxxX!_{|WS0TL4)SIn(BaO+OpdUSpI#qsps^k=;eY}ta6v)R(&kt$
zD!LHiXL+J60Tc<Ty;fmPhBO`JinzPWo>7)5ILuvoo*^<(h^ekD>W}2A$~3iEL*Gf$
z!gnxyTG&>_%3_nSkp2cf{~CPK`4(x)<@U3tHZH5Tzr^9>ddECeGuCt;pwhB!*u)I(
zj>#g{`J(lxGuE_pU>I*#e#sE~1yQp~3}Z*h-to3-Jx`P}wVX>=S6qj_Z3Jd;abclt
zxA(}$@(1h8Wi^>Q+_WukB^a0qT}V2tmXA`LeWU*(MCjbqWcuA^B|>|vL3{!U`H-$9
zRg(4p8}Mi1v*zHR4)sl#_>_WAmbdTE4;6S-Kc=FjNdF(7PBP;~4F?AYghE@#gYnc3
zrrndD$d{)euz(4#kNPjn#*omB2zub;D~mo6njJAG*4bUsghCqKUHpc*v@}cSNfwu!
zPJ^Z}GRU;={Ry=#|D99KZr2C*Vu)%VH@qp!CzG%FYq2n6HS<t$0BKuitDx5#@;oA+
z4Tb`roGlvuGc2{^DWM@eo2hp;a&JDEGKSXh*n7zO+(m5<|3~q6-bY-|s81V>_^>VI
zb#Yg9zxREGb<xOd)NwaE!d|?aXR9`QW^I-M$t?=z{^rsa8V5>DWIVmJLiQ)5^O!R)
zQEX48)H3=-cJMH733h6W>sTz{U|zi&mA>EPx(L>^I<yXGegNDJ#P5)y&ui7*3d29d
z+31&Qa&U1S!4?4RLC`26_YO@4!s5WF0<oLi5abSj?aRTov5EFz#UdR+;ALT(70$b|
zh~{5pK|fL}jDvcSpFf+we?sz*3&=wOfiW==PdjS#C5$I;P|ENNWP`%y2+{03N?TIo
zI$3Bs<oKL;T5nO}^$`ZB<%*wmAA~ArAB&K-=OcW7wW@#ltdY)SB$i|FtK#?P{dU?&
za#csg?853ct+8)7uPrJt#8XGSq9~mxIq%pyJs3E$=GrVz{f)JxnXw?7^D_lW4T*1*
zyzxFS>C{q%_Ch(N$IhYTZV0`ywEmyVeLPG&gEv)p5eJwQ#W=C}hzzAWd{-vvc3<Q&
z#hEZUUWLUb-W+_>BWxxcay!(K5J3=KZ$NCTVpqkkTbwy)#(`$RvAvu0JumOOzn}Yy
z<+jq~QHJDI77>v@bIfZVlhfhj_=w@iSi8@sJ&sud+X4h=F8!3JndzAHmVW0c%9Z3h
zf?i(x{sNSjenKC7!ng?K&nHId%<3s4vnH}uT9(;!e7+oQ#7#Uik$)^*K8;m?xcne{
zTw8G>{DfYAb&zoL4%>QCffq>-=3XxjV=Iky#dv*@kA!pycIz-*Q5AC;eVyr&@d0@s
zcEWh`-de6t_(q9_1#Mt_Q>ArB1`nmUa<|uqrmMGd3?yPNq|WL;ys6mJ5t{)w01GQ?
zwb_SF7%CxV4roG%xxPm1z&ZzzDiCX6VuX4jX8>>^=KPw`g(x3TmotYW2M3=*JPqWo
z12`+=w$$s=-khobTs*qdm<t4B9Z+;u;FMK^=Pg@pZ%tZFW_<@=swh48sY`~VV)N8Z
zBg>=7L}nq{wu~9n_hZ7(>g6(cdKfw$>Rp(8FFzM1*-uQwF1Kjo%XY5)!10mjeVVJ$
zhg*8YA=^%&e5=8dS$JiN3&@E>#eQZJ+u$#v_THgbc4IumQajqsNE>7-r;j8aBPo>p
zh>$ksM;8Q}h9Pt$x5Q->7mH@}R-SL@k~fpT`-00zI(6swxdytFdi_w{gK{t5PXqL+
zv5fA0n~~m5M2XPOY+F2sLi+u%1&?qz;%nrmHbKQ{taZWt%A$U^S7!YNu2!jf^|*|}
z4m$kw;!n)$Y9$H3K0O{bF1TUYtSlVe&&Ze&C-s#o;KyttQsYpB{dZObvAv#`>;a2H
zqVRw*#r&gXL!aLw+M(!V#m-%k8HF_)2eo=SgshFHMFTFiW7ErW(pD%}$JJ8;I~1B<
zgir4G$WZyDr(*KUUHrD#VU$Ke`$e|Tk-J1a>5(OZJIhl(m8!9sKFQy~qU8g*sMnQN
z5E3_92>#<;2$2JeKsYhbsnzDq2XKLaLirNOl;lH*1Xsbp050M6A1DoYLws$u0j<ZO
zj>`}}Pl)$o_t$8`8n3gYRL|Ni^|?owevi{F=Cz7Tqr8w)&!)<&NrGP<x~E{qa^h6e
zi>UoFUjIeK#=_mBW)+dnM_Kk&yy}v+Rjn*y_QMT5tOyscJLkF6hHR!JtV`7taYtjU
z5?X{kxUZCTpW(=UVwIJ!p4!s(wPj9yh=b)Zs5cmv?x~vcHJmN<6${2tO0BM1M7qsF
z<V#nsoA&%A<GZ;mW<H-NhO<qM;@ir76exEvX|d~f6t=Xc$#s2S41A4zasEN-fHW(U
zjE1t(;qsLy8iUn`sVPEcts<Ivx_dvPhLtNsa_A3rcAD6xJ5MOKRSz;>-W3(2<YFY7
z6ib~1^?-To9#-e(-F2PtliIW&3dg+ns%|{LT@qp}m)c0MIP4?E7Zsz2ER(i*Jp4kZ
z?lldU`$uz0)phYDgB?Dy0ez%1=VtWT$HSfYvo8L{8!!94dr8f3>z_qb2Z)$aKi7!(
z0?}4b;c%_vuVq6ZP#C~&0|9@>D_K@c`2gI&M+VWg<nkDpm_Xg1mNl+mW_5maU3}s=
zjFe{D_af7rt3LH5_Rg)G2-jcRWc|E>GNxAW_`qlF(S}3pHg|o#9FCih9{(AmL(95a
zcZqU%(GUDWnWV<fLwRmKwYc_vKS@SAJp?1$Ww$)_#x7oWxHB)Q_*=}4*bXXpx@X=f
zt;TmND%i%DRPGy<W+%6ed#Izj#VYO0A8c60d}DrYvo2rWr0Tj*nJ3)*)WV`}qJ);p
z^=kx6LaS6JgLqB+3auel_czQ4Mp@>!#!vkc?i?yBT~tey9t+<i4nPUuQAJ5{j+tCu
zEbFW_5_nCI^}IiHl|=Qs@X<+f|2GGz+6n$Oc?snVA&Ma<`Y=0%{5Y$(11+3nDY~`w
z!VbSb_>#-_+Dj1W<3d!_YbmNGITNC&uWVT9Z})N#8g<FIm|EchobFeu@Ad1r7;^k|
zqzM|s81`7lYP6C5kKbgCcW~uS66qP^sej$jPyUVC$@UhZ^5Qe{#iN%Gmv4WaNcnSC
zL3nW=YM9nvC;2s8i;p2b9eSaam6TS%r?a*O%*bWX-<kPqU-{qNj*d5Po`5j~#*V#v
zI&}EgpVhqw2z~Q^ihVjIpOX+DsVP;{<R)cyFZ<ZfR1u4|we0023lA3t=yUhle;u01
zg-Pz8kV<`UL)>sEPPpZ@8ulZ3tZ0TswQHewVxkS#cGUNnUE<1k%o2n2pYT)JU^z^V
z7xgb2ixosWhg{`wy^Qh@wL2&XUM0r|8sT$#N=XB~_U;W%dKwWD=t;toT*VGy#-D57
zPlc{+?nYTZF`ZdYOkDmR7Gw8WWdqyc^>|BId%^uDnKJ<aZyM0l8pliqf>dypKg!v0
z7Nu$-JaSH|nJPtk1Uik3#NM_Mzj7m5dKMhBzf2`27)>GWXNE1jr)Vi`Db+i`S}bzM
z6ou5A;#GJj8n1&Re=A<hJCeS=>crPSYc!cd-l6?e@J)ARI10$L3tI9SsoC+=2~FZ%
zK=oF66xVx0o}r~fZKb%F$EoC@<oNfn3&vlN?YR3$T$!6x3O~?v#_$tRRzHBs9v?Sg
zRBZD*zE0qUOx>-mEwJLlhC2&mBSeq-?liCQKq$Gc?iYv;jqL32>w9bZj`i-{cW}jl
z)aj$w_JL{5B_6ij%b?BUkp||vyD1S@AX)$k6U37bT^G3l<^=L{F+suiVB`Un12Ck{
zUteKLpI(3Bpj*gxHg9>xAviuXos*w`UB&?EoosAupsz6ir6G(+tgNdrc((6<x~Y+8
zc^m%{qE4<K93WEj#XT!P%>X(%0KK-q*A(tL6T5<X20C@BOzM{48^}OUptZHNkI!iW
z6g;fudjn8;mzA~D?8DPltlkK5P{k}TVt!Xgfiym^J-cPqH^xa}UXPw1$@FQ=5Eijm
zS9E(}wP#8^p{&JktD0uBbJIh;muR|fm(9LcTHs-_Z>ievUQck-DkQ0j_|feYBCFIW
z1FQi}(m#b<W1NpOdhSujdW4h_O){5%MSOHpauj+=ewd%GX&J%A#KyMKD-ja@&<?LT
ztpn2+H>LV5v+9tE>1bbBT7}8nGhF%`(ppC)Pn16`BryjG-Q!SjbDD8Z6#l%=6ZUzi
zGf6n7uzT=6PFT|A{^8?9aIuy|IJQv@7U+vcbXC0`Qm0#8VJQv?qC+O(m{O*E-tFvA
zLop#i$q%<9p1Po4HK&q}&{&8de)V*s0^CrxF96`a=Cr|df$l#zXbdRG1^76CCpMF=
zhhr9OHj#>P^www$Kn_F88Zv|q-epS&Yl#_)_L?oi2Fn~gNz;ur28C<j-GdNtoUG2j
z)J=qvrZFlccHC{O@v2QW2V%zrd(3HBud(=$R%iOEvNn&oLeW*_7#!W|>EcmoLm<Ce
z{<-Ml$pFq2o>}A#>nz>460&B^Msd|KWKsj}(?LO-x?3}g;fX1{;$uSNz2k?^@dWb8
z28r@<cb~N13aBpBI5#b4S;ct6`_R`~t-z7$BCn|zZ;v|hs>9|bZBRy4l^U509$(l0
zY5|)642mZ$*MwG}sfOy5sPXWLVmcgd9}KKf-JxbgM$3%hFs?B#h0&?~Y_WDS)p2`3
zWlrVC7>*nsehXUIBzh@eQfNU#Lr$JvP|yz4Jls2!<m8&!d@o@ED<W^&ZkPcG=?eU3
z$Gh`ZIQ-yQBAu89@}F=907!UMtl(D<iSJ-pgGdZuX?#GV2DTV3tM&_cmms9!8f5xj
z-K1;G51OF&@Kph^{M6S6Uoj9Im%w|SfkFvPx~+~s>Ott_KiKf&c^G}~r%!%U{-7cF
zcd;g;qO3ewVfY((FkrCf8k}xc59^kqy4^Dpr2X4y)~~0rB}jr^<4pSJuB{S^ul_}T
zt|%t@a-?+y*E@53E$fP!TQM>Totz8bOeo5}PFMI&yh5nCHmu#Hc)&iL=*XB?5|Xu{
zHFe)sS<C%7?--^Zv5?r<P;pJO)I+yz)!uKPIdJFQ6F80NS#=hN1a8v$44KW*%nMNG
zc^GX-FpAPG%j9+AwHl~;2%1M|?#TA)EqR!BP4gMtSLVQ7jxE$m)$nOnO3yDu-s_5-
z>qF^#ni$!_#~CoA&du-s-f69}wFApuf92he-#KT=V`7Fg3ru0-zamfF7KRqeN11AZ
zzFMsR_+F2kq+$!mXnpb)(<0SE9C1nZnywo21JTF&K2hHc9#eirqE}sRu8!@7$7}MI
z#-~4fT%L03N)U8pGJ-?$u3)~!mLdwhawG-KN`ClEFn&<ihfaLPUJ&C!?=PdyrhGiq
zphB=BtctVGzG*>KSU=@1L}y%AMaoATTl%hmvWMmGb#5vgTXv5g!6)JXh9(efbam`Z
z)iJTMvVv>?NORb}ySn-oL##un<j3FM_XgQf<Ih(T+6>Tk0x876c9P0NsdTx&w^aC-
zPd6p~PaMIJ0wTccTq)Q+jLP-u{Z#z?{NV5d2g;Bjf=3hac($rLuEW1UqkPziKq;*W
zH#uf~+1zcpWWS~}7E0k~S%bJM_pJhDWfKy9h`N{=KXc;SlG%E{BtQChJf%}Gm}*P2
zGd4z<_m7gjvg$~oatuc-%?7e^Z->Hms2JDS>!ANGCPM%9KFL9APBh!-atdV*dT^Gm
z)1OSX!_Q^+&PDkWyB?SXMA7_thglF$R<~aL%A^9%df$Ddky~OiY2e<iUxCO0B{WQ&
zi4UVFGZxR0ytLIwoLxFj&deZ_CvD7?-AppF%(CBgyl&1dN7{!iP^e_KEO*S-+5q^P
zU7agyVq)^-$&(WG47kkrJvYaptK*AD2B~&0bO^SCZby>j0AjP?)zj9{kO1WstZ3WY
zNok8_*9RdmpvzZ4T!G8|ACQ3FetzfRE9Sp%)CIv(ckkYfAdZQNVVU~)KXd-I%^9?o
zAOePu5+cJ9%@II~JviYBKkfMUw*!PaeickWN*mT`*tK<CbF8(sx;Xqkd)7H^_>9gi
z8?3%%_*T|-ucPidIPe_3%KmeJJEMisllJLp+bttES^0d)Lu_i+<i{xO>yf2Cr^KPO
zGat`ybxnAF^NUI?FNp9aVIrbsLX~eo#T)cbAUI?ldW+t=Ec2nN+eAI>aN>Tv&p2jE
z{UIujz)=NqnCj~5fvQLw?$?Lh=rr+cl&kJ~CDnTH!8J)l^3>Uv`P8|2tsf1P5Hdws
zh&1S{ji9z}DNUmE1pkOK?Ej6AVfipOustS#cyM?`We@MpLfTftcXqYks7%`AM7Jc}
zxX)j!1e4}3R<~`=ba6~8K1`#cQ=4q>?pg2JZ$AG;<h$w?_Lij$on}N`-X*GD5N)qA
zc&j0Rg13fP_|6N0pDVBHL#zf$ZXmDl)gLpmw=wU8*<5<epil49q71ziFG*MVTupyq
zH?tQX){~3aKCE&k^ow)IeO5RWF+U{59K<50uP^+Lt6Y<D!wrA?L6m;$PJTYVMaj^e
z0REOINeV<qotrU7P+!wR%7|t+KQ4^SLGxpX^Ey}QdJk_a2x-Bq0MzCw81&&VzSsx1
zG7_YCR1_3_3|`w^EPGh%Q*|cauXDZYNl#%y!exX|BdPWk0npM4gYgU2LwF(8Soh%V
zW7UD+K5sa9iJ$@le92W+Tycb(%QyV$zu_{1$`+e5;o}~O=4l#dC;{tQmxp5wmg&;4
zO7jfn!JS|4YwCB-=faZv`1jF+m+08mBgrRS@d#tXmPWJR51CU1aXp-|=kVZ4-xInQ
z6!)Df`{QjQVkGjb(PtH<F}|j6B+3>Um;wZ2exG?sm6C6Z+E=p8o>B}?zj4kCxgX9Y
zO`EFhYl&3!>%1{e)=}<#e}{30LbA3v0&k%tC?v7YOSNWcX6qqKRFrj>neGkwkaI=#
zQnsN3ISW5s@}=UNZhAW{znYZ1k{?VWIet;loaQXWsqcwxs&#%_v%qQdNnS+F8LDVg
z-CNaHz$_$~R(P?pZM{w@zxFwRNbQZv3R0>!w=`34g}iEUbEG9WMF?MZUkdH!=Mr`{
z$>xA6JS%bfV1~zHR{63?6gf8%gQk4fDNoA`Uh}DctxYEgoTm)2Bu|&2V!&6<T|wnj
zf4J)~_`wDhRBG2r-c9H|Bd`><9}IE=@&ZcQuzZ*i5AHG05oUE#{Q@yRJ{8Zk7!qLL
zbnt<vrRgsPgN9N-C_6QENzMFwgVX)hpKzWRin=X<r7SflHZhS92M00gw-AC2d};tp
zm+<B{!1#OTlH=Qr1{j{;I%d-;$dmH-f;ws_X4!3CqyK?EAHfj(aKY}Ne8k1~ouo_1
zT1_{V{oO6bylRsJi(8vd38m;{$?=;kJ@rK>@Nc*F?i%8m3>wd8i}zK^X=UP-x;t=$
zE>q0194p!<zkWTiAWNp}{i$?=I9SSpfxluf%aR0PD1%APsr$;@npFE3HQa#9&Zc=1
z-SNBATctF#u;ZmOGlp78?s;ix%t50?RsZH?(cR}ddJY7Lx=y0DDsi(?6vt-FdPQx)
zibnIF*sY!6%yIZnwJQ8)(*l$6WgE7Nj6<B|62dgm_qbJ@xjp)ACFpsUw9bFtp={YD
z4H4%!Lv>30a<lmr_o>t1F3rNf{&XpaQ)hG~krc5|3^B|vgg*SebBaEwDC1f`T3UL|
zn4@1k_!b@}jyuaD*F4iAjUT8;THLj0(Wz=}g?{<0;vrviF<F!!ElyvyfB;2AwMSX2
z|0&i0{iX(z{mR@+?lvarDPHnDrPG;y$Rx$@Gd=9Sn*g)cwa(E}>M|DOK5(`}YJ&sl
zeVW`9pG_TOWnJIT7iWk42{%Ec-$&;GLLh+;8!^Mg^3dFVE!?>1qSyILYHcI7P?pA~
zQ}L{{N`x8)Tu9Nr?!S?dkpYD`KYty__F*pt?c_HFBB|c=`_CRo?D)1*^>)5+wZmrD
z3-n9~wqX48e56`s4uK?=Vi&O>ZBfcs|A}X1B=DA#CKrF94`2E|X<<ou+}9Ko3qsc4
z7L|s>UB)T-bxIuRnv~wi`>cUNYC~fa<4Xw`+kB28-<`VGOB>WuZ@1eCG|T=hPK~GK
zWz1ejY`bsT$9fVuy(iO-As2t0X((f>C93Dl)D~y=(V45hwksMnjH0C6Vi0F6>wej}
zGU0o7ZrlrMOS=hIqfV8>C5roocP&ysTq^5k%=sqMkdf+%+0Q7(sOZVDh6UyETi3A^
z8XN8nY^r(|)ac-?^xOI`1<thX43T&l5`>5_S_Pzxeh#&I%XEr0Va`nu#(HGp2R~95
zT0lJdb}!=uF-1B)=@0C)9MZW$T&y`4qPLZkt$Uh9z_x=K3U)iIHa{U@I$&V#ii@|v
zs3RYJ9q$Co=DtUN9(-VNpq)*m6;j8!_txygb-$;IiU<t7@BtJ|?E<(8S28|hwPl-G
z>7#$Azle^*pf`Rcf1#fT{pTvLm2je$uy+_JRDM8cI<VF)K-^v<chL3$cRk2^o`ahP
zeikYClHdYJ&hmJ`>-F#Oa7d5x+&w(T{n-e10PFFR>$<U7AA;W_wQ^`xx<_AiqP-w;
zkT)ji1}M6HM|>pEDM?b9aMW4D#-Hq!3V#k*_IViKocD+<v9gi@rJg+bpJ;Dmn$RjA
z8d+b9l={(2d;vqbb?II*n>g>=hNn^3KB&o0(NaB;Op$N%>$YQA3~G|CFHvq+h1oa1
zuiU$;u1#xIXI669u-$MUE>k-{+UGg4t><ZuvV7gkT8`%PR{Y-BU9>d1*~=(DisXAu
zUz%{qXiO(ayD_zxg^rdexWcB#kF-az-ss-&O?gEcf?-wKrM?uXH}HgNW93`!0mrZ^
z`%`Nz1Ab;tlOqnj6{?T|eV5<f18gbu#7+ur2zJ~9w_x%=vn9;!@;G&4t+}#6Qp&Hx
zceeV;gIA(R_97jOFYG&G3F^tKx6W#=PIUhn<a9!l22_|YUxF|wdHbet_2VWC%T`D<
zm5+vPWoP<BCD7(9&!xO~@|qvLJU9d2jSTcrk#XBTew=keHZ^9rS^1*93uLx%6<f7D
zvj-#<LXA!#Ar%HQ3tiphygZ147=@$zS!Xb+y7y8y>mJV$tNVA3(D!C(rt2$K{64SS
zVy1m!`Kn0g@27<zutquQ4A6JwbxH>qnO>>=m7EtfK_L%2S4}R6D(=<1c{HV~tYj?_
zW}IAr!D;!y_NAy^cGxFhh2%e;xI(Bt3rVWn&TH8QafD$fQ7W(QL?<EMHYlryV`NLm
z_NDw(ZqK4LAY{%{CCcRQ)kvFYMmkPNBK5p3qH|m=F&CVN>gKt>c5a?+PBU7CjW6A3
z(yzBfISbgo+|WzV{XB4o?Pt>ni)#$(Q_W?XHUDS@#|7<=H|@mJL)tWo3MkKx<mQrX
zxA(hxoLSyehk3_lzO*DG46ZbA%yc%@t-w2OMld|SOehw5GUep+I`ky@Gq##pJVifh
zN2Qw}wybd3uS}6b7VUdn`6#@uTjdzECNH-rZr_|yTaf$^%PV!I@1Pp9!WLaX9=)iN
z^gv&0F)lPaT=(wVG<BMFuNRRY3~1{x;qLT<Rwb#N4v4b--S}Ia^1DQc46K{~uKvg{
zDnitTojYf^sMl6@bLLH<r^`RC8=Jn%tE<N@>NF+a#QiN|0>OY$^nOVFA3Ts<3`A=l
z|3l?__r3zi@Qc((W}%&%^X25P^NPmwQ^WlChgI1wQN`<$E>Z8*ic@kVv*JUH#|ihI
zquSPvb1}Pb*ypkDuJgE12AO_KR=4zyos>>68FS)D!62BcDQN7hR5%ej9%FrihT$Tu
zRkThQS>=tm^~CeB<KS(TK_2me7=-vID%BnvyzI$=JSkgop5~b@k7M6-d=-3VgAh3m
zJ;dMEN5v7ojv<FR{<wxLsQCkO1)Ic}!Qb_^w${|m`-X5{D{X|ieGo8oOrkS^y6%M0
z5=~2#)@NtOD8hoNv5uwDzaI^LPbYejg)eL468(@C-JTIA`NX$rkfb<RSCh2b*f+ZK
zL}X`7(x=fWEIz~bq^ADkMRKLm{#c~i--L9BzJ(uLHG_ip=6;@LvK%&@o9`_+{qm7o
zKgZ_|EyAy4?F?MVr&3K{`r3J{%l}&1Lc1hrps`T)sjiO*-s_aLw8o9Fc-nhMnrg)t
z-L|Y&w6-+CR?8;FmKjfVCj%F1aA~3p+m8w1vl4{5RoGPFRGp}?VmSGK0eeC7gP7N!
zw@2yeTLUwT_Yg0Z_me2%MzDE?ELgCi=msjtp}`seLSjlvqsey2a5RRO-<JMkaWS(F
z1E}5mMQqNo)WV~pfHMgMffbOWTCjKl@db~<*4coota)}%S=5N#Dmg?*|52>Ni)?(J
zw(z?CEC9huuo^JnN6Nfr9G@(5kA*(ACuKb`GMvuo602My;?r;wMX$SzUvrUzZP@$A
zSoS0Cez}G9{cQd*Bk937*amiFiXW;usk8Tlgi;oX7AO)39^u(ueBB6t^g3F>oa*WL
z14d;kR}Mc04lx^p9c$vyV(hr5{z%$KTK8U(n!Y*6b<^Tkr1e?(9jn(pf?6DmpQ&7b
zlvS-;<ZNYywY8i&sqKy{N7Qy8riO_i`_hym_Rkmf*7QBAPp%Zj2J&l9d+0TqRfDx%
z@7ldLCOGfo+dtwEH+Y!*5cy6{6mveEPOdh=J+S*$nqiJ5s@8N$K%(Gr_G7XID(Zin
zRu$h)ru+-cDm|V{f4DR6Wd4)f^6N8HG#sk3^zX4RmAl!)N?#?RoD8h>*s7*`-WkZg
zwcDI*K462(E!@t-PJ;YX%ndYlXe(K4ClQT+Ei#$0;M%(~^DYH4J(H6cUSEmQz$Y6e
zdI)j6$PO@-T?;suV-`MInvwfKqacu8(DV#=?B%pWjaH#_TUFrohZb~oSO}pz?|ZM{
z0O%-~lRjMtixgVcoJWMggS0*S(HQ5Rt}cqi4eZ_sPxeerHdCpAH@?+FH|PBIvp6fA
z=$I1Xc{u$g4mg<G*t-7KJzO6-$>oZ!L92c_EM$NGvQ+QKZ=1AsIwBoq@31nuLfbeD
zqta(oeKRJ@Xdj*RD~@PY?V}!KrBv2(G16p~Wy(nq>e`}zCZFZ#qx`wCsHR9?igToS
zYqFFy-pukB!kAL_94(N}mAV*fwuEe;$Z}vt2<iFGw>##0s&kx1#^{%>EHPsFV$}|t
z_0(5he>WXSt5f4M8ORe^3*D%l0?M-g4Y51m1nX)aC{8!pU1oJ|yw<~%A8?$ooEF#J
zNtc@Zj$t1j!r~B|^6*KhT586p>L(5oDcjU<eZ#T#XH4|6M@r%=Sp}J>1Nc3jyH;JO
zpM;DW+Y~?L@EDXG)BR~M##`zAq5=0ES#g0$N_fl~e$ksO!SJd)J>x<ajUSpAwBlnM
z!E|(A<YW;^yMxGPzTRW)1z;o10ROp$z&pTJ1hL_}A9tlsH(<&Iq;Lp{MCdq<6{`X8
z^WecENc_|t0+xDXuIsOYt}fzf?m9OuMgkHal0)kXZMr~TAN~H$d*_b2^8>K8!N}DD
zaHaKV3X=-dDyxm2K*n0YvoQFk;!u5B`=AGam3vENP(60t*exFoom#<X7H@7u<C8Uc
z_q{kP3p#Wh;-?6>;iZuM1qWHiE_^$lS|~`2Y+zH%^?B+{a&rDQQ~Q?^&8@c5DH==f
zB8ldg`2q5enlKk0O<}*_WqcjiVNg?X8(p<MuY{;yP@NQO_Xa1%1C;~yFIuMZw)#X2
zEjo{a`+pH(FF)zA%&-Y8XZOBmyiTp;a8tiI4i$0BMxkv^O}DqmIc=F{TscaJ-vPr@
z-)~ALv9Rpm-(o!`OEo8Z89F1uh00Op2b$5E1THZHXV>77Vb=z<CczfxryFZ{%d)68
z4pizlL%SsQQ-!7|Udo_N@O3dMKK4!V_g$`!AkyGSu^6+UxhYK1(>Fm@mh%Qp)e`e*
z_u-8L<E|SA&k{BB-{9!YlyEYoM-f`z7G((2VYHVxO^Oyj)jqf=ta{Dy{#8Md->>{s
zjM$Q>DHh&@7ZIORVkiCOhMW9y&`myxrr;HqM^&LNyZSaSIn2um+z;W#0T0-X8*dHD
z^&rHmR6GA1Fkd`I@D6t3SfK&<4p%KGUV{KghQ|Y}sQQ(eawb<0JP+~B`M|mel(gT$
zsP;x<pr)p#qWS}K6%{$T<X$H_90IM-lLrvmb+J3(_ORVvuJ8t(0sOy0R%uvyZ6)0X
zg%zNX;0d+`$UFG=$@<qGh4Gt$Pin#LBOQ1S=EOEwyCJ)GeZC_I?gtq9ykOgcZ@dFm
zS2+B^!w#rO7VlTU;@~d17?Iee6M8z{_Gj)UF>x(i4dCVQ6_`qZ6lfUGrCYjyJaU5M
ze=tOvH#*Pmzz+wf48-$sGci4c0CB)q4yUG|6yS$?#?kR>foq7<=`XH~?Mvf7M_9K9
zAKNeuZ?qpq8LwR|YbUQ22}7d#RPf&WQoL82!h#9XxO9dZ6Ul7)(P`~JQQ8EbVI1c_
zO1Kx`XDN_$FV~U((@160!-Y>ZM&{o;yE<`-&3T4&S`}AVQc#RlB<wEZj1w3dL?yGI
z)Rq`KCm%)qd1dP#_npGt5j!!8O|^PU3$HYw`uP|+L6O4KAwucZoG2yiM+@8MahzuV
zC<@$oDd;~oob_R$YkbPu%%LqYn29v*O2bbGdqL2SmoK1eX8ih}3!mc)cCqIfhPU_L
zJ-S_FQP(v#jj=~QJ7~jHQ(1kG{D8$d8l##1bWty9aVd(>#;K*q<mSOxD`z_$GJ#5X
zy=o(%&fqrnm)d0c2uq#^yf1H*&A-wOBWundI(P1&;Jm+Zws;_K(Jk;*UcX%d^-kW6
za33AKI@6E(mnp5ISGMjjegiUQ0;~?CbwSx)|F<XzY=ff#lo0hm)<TZazteu1M<dJh
zX@J1ci@6sA;_3CLg^qY3JbDELW&nvw9s8|WCVgla8~ON4IPh{l9RM0gPBOU?f?{l_
zucDIIgh0T9<$>CNgBhG~gx&9W-WD(jjth8Ze&1VzOvWb=QF{6v9JbdN4lHvVZj<mu
zT-{IMn}V(;eL$6pmbL}zt#szYiLC<mBiJ7P1jrWlK1nEn+$!Jcf@DuH-5I<}3{4O@
z-S1~0x+z@so)8-g3mQ!q;cnz1DXbAi@C=3<J8$@{)>?6v3<Xd5lV;}*wpz>*NFTob
zHy|PRveO^cI-6aWh^HTcVf`G_%__TdC|NC+J%Zr?fyptg{^@&eB(as<-(Z{4+gwkP
zY74a}A(&`H>rHMeL;JV!Y3LohfA+pO8W6XQNhRq2i<7JrSto#LuBj%cKJt?N4Y|X`
zQ^u~cXeN*2hkIW4q_IgaVm*it;_}8L1{9)F*awP=4>2uU{76*rDK*-k+!aG?UJR-a
zV6``H5@ectE;HdKAHMpfX;CboWO=syC54C77G_?KGa7o4=b=bh=Tx;+aw-H-y^aI&
zK1X$_Gry7T%c~H-2%LXSY<%A-=6;hQcu52F_ePlK4{Krn=gS!|Bx(5gB`P8!5ON8C
z?*%ubVTFO1?}06_4V`E*K6?wmc)(H)TN}K+5Y4#Yab1KBkSJ6-nBmkx^9t~;OhEp^
z1PIuhrj{0kJRB8LaO{8?{t1{T0cn?_JiU&22Jtx(^fUwn=HR%^*`CR9O~$<XIWWXA
z!0OQ8>$)MILnegJ7#bD^*80EDY8iO+RplD1hk7$0z2JX-gjn-eP#I9t?1aMzU73G?
z?1g$p7sx>X=ub>cZ219zIHwTm2}QAWUfa{~{6PMsu!u+_oGd`Zd;~ta1-4DV4#wnv
zT<d@UfVfV*g*2Drjc;X;<LU+^GBik}!Gn6ZaYGuS?*6CgNezyyOL(xLtQoSS;BlO;
zGJOYkGi3PUjo)AeuGt>R^2M>Hsg#h9FLm5Nc>H0q0ftXl3ueK0!Z(E<P5&B%@zRtM
zcjcZ&hq>4>JQ8RyYMk>%_^FC-rU`qAy`{yiA*#(yyU7r)Sx;Ed=PTsiz+BS%MU3>f
zL;|mh*}yZhs82szbPd~8lhrW-)%3H_AKZ!}?R=6Zko*&|V~9VTKqtf1l8#$}n*QfT
zK~d(drh3@`v<ImS2jyQ~zplboRVY8ksM>|#bmOZfzzdLo#)H6@lS-4^)GXspO@aX-
z$cs_pgr#HgF=5xaRi`lzxmDNO?_}0x)9{nfTOTVIlk(6{CHCKpUDOKgxxLJ!_Bv3b
zLb<4Fl~|dCUl*0<@o&~ua)LKFC^VY)^-DGK<ViEhswnf?&~`AR9x)fI@6SYkl5Iv^
zI6J+C@1ZUr>tpRE``qD<923Dq!-m^T4EZApvt9HC6sP0@g!r9nQEU_ewHJFFez)9>
zwrySsu;A9qV-UI1AkVqxzROxzq0|V`Eqo%gxBRN+;PQdWhi)3T8<%ECx!%w8*Qx}7
zfAxS29dG)!`Cm^`dwZ^oy)f!X!^2xvI9c`q8rmWB10Eg{dB{*+f)E7>*9BRi(!dRc
z)8Bf&SqcB$!_hXHCw3PGYykZmz*qxtA@3+b92c)>H=4|&&(t^dae$Q#fTW~P{mriT
zNILH?OyIU=+}S_96HDm{0VTC$TzktangAoBm}_U<Rj>Pns(Q1issWMqFYWoUZTX$%
z03KXV`xo&iYkkrd<9r8f#^Dx5x9DRV6c6se5IyW%ACd4r0bNx^#ZfvVUydN3%Jvt%
z@6bhafS444wN-$c?ep{T1l9V&2);WTDs$y@lJaH?{L5EwYShLmDOqzr>mt)I4oX$K
zatrZ)v};vArjI1;2w-+L)&3a0C_(l{{JWu`QRPSJoF==O`83-L@?hR!WKUTldhFgE
zv6q1rsxCOBMyW!l?+0_21Q!14JRMs!l%;)mnxtxd=$}23ea*-Li~uh!@ZA5vQ+^0p
zQ6%hG&mlzx>OVN{+_@f0VFr+Jv2^=s10yS$j^sTc@PI(WV}wHKs~?XGA;!W0=Q_Fr
zUe?mmQhHHWYZz%^CdI?S!6730W3q6a*AsBD-%s(rqLm5f;yQf^G|FphYxi9$K(GnW
zpTn0<V+ukDkH4F@AU|4(JDxw|yLSicC-x7T;nc<d)dHZR7CO9IlEMf`U45qagWwgB
z>A|g2@E!GvWbVn<GKDb*ve9I##uqzVChPD^&M9_1xIbcuy@7cLU%8lxKiJ$_g}oou
z(wPaJa+x45G#5=Tn+aV6si6>N+qlvbPNI}m!>RdI-j^oX>pA=9uP+8ILki8O24)`m
z?y*W-P}^)jFs)hA$6~3(RV^W<QPaphT7+7&@`2wrQ^)a#l@UjkWj*oRJK4J^A~+%I
z-Da-s+s<oVEHQ##`Fk2)1!M;qP#D>w=ur#>@sck}Q2DifQ&{-3J1+yHJ78(!6^5LE
zWpi-Y!(1jG4YCEe%0Y$&olE^t=q(=&X^%B<V?&=d8p$d2Ie;2O;#$mb{R(ua6>mXu
z0PGQF?;a(zc`q`Ec1K)Y{oS2!_IT|32f{0;KItB5h%D~U-OsrgBDa_&3z4iBi7v=p
z&x;pT<FhMAXZ%~+yBtAW6whop-6BLE$os%muiW`zqAjmxz`L`NFJn&PTY|*hwk{r?
z_hP&QMNsvaWc@-0Z{Zhcus^e2cdwmkW>rmL4$*O0wR`^^Ny=rw>&GkFCcGg!7{=3T
ze*WMU`MeK(>#cZmBKKkDnr`bB?&|DLe-@!};no6kr<)^&HGw7A)=X@cNX~(pwMxhR
zr=$VHN@RZ61h@a9=iWM{;6xl9l$Z@*T{t9qg>j$vFv*%zjbgS+e$?fekKMvgQW&|T
zRrhK(E^E^8zD7W(^OiM5r8(klD~bs6?}+uDX0~^&2x@CQk<OT9vE4s|jQ}BeArXw-
zE#*%m*~ngdd`(f22kV=v!qr`3(5`Z!B{FMpjihvUQ*avj1Z;pm4VJEfs;VkbF!=z{
zyaY3ETvC#Z=cWN%xR4*U{)2|$`p@nULL#F17EcFwvagSz|4Uf+9WEd9oe>PW2iGc8
zC4146Zhc*4!iB=zr?H63#gO69!ne&MQw24NTj(dZj#2s#LI^fL^7kTWKD=THq58sY
z#CW?at3FNQQMOyGx0UhxI)6jftOJfzdn$g_8a$NUhPOCl?umU|3s}V)_2uSmNxAy<
zQOo9g10~VX&d-=l`9{Oh@Ay(Q*J2hr$`{%6Ewc{{NYwhjwK->xqm*xV%&=KNFKm-f
zpS@TwG@&?FT(J$SPfN$`;VQ)b%9k#y9Tfe`Zh?c94DSF{R6637$A@jlpI#<g)K>p~
zde32O-pExweq1sWTVND={`u@1nw73D9|WR+eC<CAGxW}Y%lSI<2DD*754E$I27*>i
z@@nt8U<_t~YvUhmCa_H0lJp@K!QnZQkG>v3u3JsKyu4gp_rNHPB(NF@*I0o355aMZ
z^)qtsO~Oq9O=4rR6JHs0B4pL;zGEt6-hl0v2+n13FRw~=+VNB^!5@dei3K;tGEy#j
z&0;3g?o*Ecnc*3!$^LArOOkEW6wY44To7O{P|~_oWBV(hfz8oo>F{$JX97W5W|+%_
zKTbj#W-_83Jv9MW(X93*wR4EUI=fMLcNtP&)<}UlgQVU@TeogL(sVr}b-*lR3=y|r
ztB#*4pPYQCT8S+oiWljJP2cddoYx?S0_Vz<`@&Gw3RkynKP_}LLf_|x0M<Ws4&LN>
ze9M`VEA|}Mj<pP&_PCHnd<fDm*jm_y2M!c^*E8I~PRgY#ZYw@j;wR($b3V_73H@)T
z1I9@uUSl>J*l#?ZlWAWi>);flk`}LIYQ7saPWq*F&dRkX*(P#Nhfp>aM^cKlgcHTo
zC59_SE0p&=Cj;x7_qN3r`B1wex4MO?j-`EYI(K8tTO*<hBUfEujn74jRpWdhU_#e1
z;%2x%<2Rmz@>)LIm&u>Qv<UMlJSo(skl|Fz<2{I>hQJV2(ZYu0^uB=?w@aMJn#(U_
zS0{36W18H^?mEY5>)$G7i?EUN{K(_9r2UrJzwu4b192utcZz%7@p?g}0cF$G>$S6J
zE>s1O<ONEr<+U{t`!QP}rC92JSl#^ZpN(Z7!j{%J(2>fQl2}lKK8k*5tBaBS1uYw~
z$10A+ckwDsC>FJTmq%wP;)7Y$RR{$y%7Hmq`_BN(ThjKeTk+iSQ&l!!ACYeAv34qc
zsj?Ws51{nZt5ZsKbuYW9^kZ1|B4A+Y;~GY(7Z$)B(+PRMe26DK#~B`;7e3!BDmu(z
z_S|~n))uEYviY>`7y3a;^1}(mFlHZru0rhz49(Wxs>4jdpXu>-*#&yBL~K4T&Ymot
zEMp9OI3NFAkzBUdhl8Zb3Q+1NJ^hXPpBf#(y_a~P)bHxp?<32@FqV^p@e`3Zl$G)=
zP3&dWcaw@>tO*N{Ho9&Kqt@Tji%!YUX^Z_<(N}k0aQcvM@xE%kpOU)rbo*(MX*-dv
zFY}y^oCOKfu3+&>Y{{07$>$HB6cVGmUMptiEmWeUZttnH_)gFW<1FAxI%8+1*`&7z
ztxM%Z6c7n@FU+T*a7Nl3a1TZer=^eK-XSgPQhb?QPijoi_o`rd1u1ZQkN-A$?j6cy
z386*3#W?Cyc(IF$ihynhLsH50jDO2iR~K++uQPYGI0I;+fJq&y1k4&7&w#sCR94RP
zvQ>)u@9pIaX(a7;mQYn_jLGwGzvV+fHiyCbNiGvpjlod>tDtIGGZK3Uk%L~iIvlQx
zoGI~D5HV$q<?0<~d%X15CA;88=S`i{mX%^}L53{^1FL#n(}9usS+!cXvSmt*vr?(`
zLcY)0ad3XmN~N_}c2zBl$MXwz(|w-RLy|WN4H7wfQ6dKXNc_2QryQNvvWYLx4Nr^h
zSZ)3Ok-K3e8xo*OYY`V^r+!oX;pN%yb9SeACsIcvQbxzfe1Bld^W$V#71{EKMq6#I
zvEQ-dEoL#ih%Sd$+k;l<h>pNzm0rr(H@m4*Z>>6>!<-4ChJtPv0rl4_kQxP3DW!ZX
zbU@Ds91a5<Z-KVk9TDf=xwJcW*Q45}p{sE?{ATNIGFGBr`D5I)Gx^r<*Kj2RR_ls*
zjo+_2Nw-dz>H7Y4tFh$_*S$JPGr~!I)2W53(zg>Gu*6?~PRN^d$1G3_NoPb?aigm&
zg3VCaeM-_xJuB`rZfwpWmZco#r^*`2k4p)@<@q}EH`0dwE>}vJC%1pRxXs4BcaTSm
zWsby7?l{O5h&!90C>v7`wEuYfmDAdkZ3gz3H4o=A&FpW1n|I~q`QL|!XV9!Y$iCZ$
zXT_2ckK%r=neM-E7;m=GvAu!L)g9}A-sz2T1porfD_5}4gC&qXoLbVyRb5>ja+e`A
z3vzz}E0cU50FV+Gx!}A5t=#ix&jjB?9MaL`eV6SY@33(K>{X1+n=s}g@KwS_<z2pR
zR=>gN<ln3J5S?@y;z=p4%U2X*t;VjXdSXkdOt|STNpFg;HETCr{bsd3R8uNKEzz-<
zh4*pys=^rcedpNmk>u59$%{w~_hPYJ?}N43@BGWpcCr(O>?gwOF?8;PsTPuug?;v)
z<vh{7B<CE(3=Rled`uQ^R_r0Mk-|uHt7d00jRbGg4RQFdoUM6TZo1Ja=Hp`9!+?|;
zZOgq@|A-h}w6QMBe0okj4l;TgYHO6>T3#}GjLi*Ft?<D8p=^W2fy+g$FOj-i!sQu=
z4%60r^F+sP-CcAmJN-HyT&!}3Nd17U2zs20R2B_VQquObQqe9~W#!1Sy}z&!T|+Yv
zKnO@71~xW8K;8iVLL!~d>0(sUEeT3e(%a$duzN${Ht1HHfX;_VBt8|RC;$Bl(aC&d
zBnHrZTzoG$x0ric2M(s|WnPG{vB~)j@6QU8C|XRO@~6)IEgR&_NyouB($d-u&u?W5
z#T{dx(L^qL6!T%sM$)35j`^f?+Mv@0-zD6ut7rDjbcjh=nLK-X*c9~z+nrvmE~zyz
z*rwT?KpI_AEa?k2^#ig<rYDNJ9&))n1NuHIv@R=5ZBGYc-E7TKMgz!itlBDyNK&2h
zhqEYRg>$l^kt=&W7h_;<zTlHx94a$>mulQf_v=&s7wq73>hrSCO}p_Y(h)HRxrw1I
z_Y3nLkALwWp*&^Bk_Iaq=xM>}g`s~2K5^(+*E2A9274puJ-z2zeZhkQaLK^%@C`yj
zO8K8|{kN`@?7vs%ubo1MBLE}6V4}W`ZwRvO11<LTprK0T*DwEwcM3^_hm(4Uj?^D#
zj6$at#<>h}p(oV9io>I<4>3xiG^THj?NX!>lTj(0#++M~oksDU#V%A$l8k8lHGn&+
z$kBd@LhL&6yK_i;wmbT9>i&$Yecy}Q`0UA(-2c*5`BEYZM94U_r5c|9@<l~@JYBb}
zq%PMM56)&^M{$++<UAh4iAAOInvIUZ3N+3dk>Nn!mr#Fhf69g**cV!OEZS;07JE0^
z!q-wQA0esU$YbKrVn<4k9{?rL(C8)&;tBwjVYYPwj<_d^Xuj^D3Q!BAWMmL|2ubPY
zp_veb=G7I739*aVf*Az`&xg1h!6xuy4~d8OpGoHpnGf0VXim@ggO9%@ban$#*_p6y
zW1i9JR*`VCiwGZ>U&O4u<D9WU;ZMgpjdifi_BLHHYmIy`HF1-%2Vu7q%R$qm3UA*S
zXZXJiI=Ua^npf&(;YD)w2B@d*4=W{do~s$LCtndVp9;7azlgd0xBG6NvEg!;mA2G~
zQQ|6sj5u|LbbQu)s6x1&n!%xjQ1YKM|4WjEKpxfPA)@KJb#6nWg)YbuQ5lW&8}pYA
z`6+~JnPG42M9#?|r<bzGKqNZfg*z=i-v=6`9gyWhD2Fukn84$b2Y5Ni20^at52>Q`
z^gE1u^$)L0TOq96xp^fM76P!I!f3JvK$MroIy@Nn2obogg=8Hm@wsK^%ma(%(zs;P
zsAtAKSBFB2C{u7PE1?D)_@?rqNTE|==aZB~bJffCe4|#lHxQm*_<z`X3#h8P?q8S=
zK|s1Y1Zf26Qc92#0g)6i=q~AQDFLOVBt$~GyHQf<20^5|`Q~}wd&jun|6ay3#^Vr<
zoU`}ZbItXuiED$|BOcGWYuP5G>XM?8gGpbG9M9@i3&sUhmAfgGXLha*68(aBe7k!7
z?-rF$<NnSl^{}7cUXx`lHY3I`Qcp9&H|r7Aj_Hl&+Hn7NYJmb#^Zs>Sossxi#3(#$
zKkbN<cmoZHdlFqZ`RQu$&6u&cHzfb9^ABQ()N1D!c=Xh9;RI8QHrdqH1xM(N?A<PW
z&)}1jB^kk4we&j1oJl1oo<37JU6N%N+H^`@;})=U17;9{M+0dcG?bK-w6y6TKmKLd
zg~0_d2p0GNnw&4t-p`*OZ>6NC!`z@TaI?UX^*&@bh>y(KB;ioYEC9)HaC&+Qa$h~$
zLO}R{D|ikowCKTVTM$u9xsCQ>=e)!;QSi?btC*jQ;>2FVzi`Ugr#5<hUE0$;yHDTo
zWzH@vTe+t{e0=F(E%H6`_Ml;r?yo?eD2%G^*M($>I-ALLJ#RW&(=iKF7HPtin(=Et
zRjcoM^9+Ai|I+Q5Dg1D`kR<QT94<~06KGjY^OMiQoQ&A|Z}mCf-3&+jlZ~O+h?;?9
z)YwM)`~t~%H8*qn$!GG5cCkImCb|_xf}>wA+cK!RAAHpy-b_93?IBD${%c7goj58G
zTiuC0#YkjpTJPUaJX!RC<0SYFpM%iT`liR)^1Uu7JF+y<^t<-<_K4Z1Un?Qb_BQ4H
zp5ouQv8kz^aN%$mpiqMd!0d=f>U=#LEYCO$+9igw)wV`PM}wGmw-TS=2jO5e;52@C
zxf!gmucHxYfHsFV_5#Dmrqnw=Y_tc?Y-z70SvY%}PH(MMx#7pH?Te2-igP6V{^UjS
z<0wlpw?7ZNTH<Ah!j(2xK0V7t*2b%GGtNR!ZzL~$vl=Mx?=Ti(&hwa|n3Y-lOp%D?
zs;8E|fSBUG#_u-29K4^8zGEMWA2fW$!aifKN-Hf0;Q1o`6CF3&!$Co+U21YcaUz{j
zb(nJpO)namrhVrDe_nQb=C$0i=>iQ7JaYBw3c35+zR^0@$D2cjSKlgluV;OV=9?z5
zIj|$ZxQQ48kYwat3!NlXDv*cq{nwxbSQRDT%MQU9vEd+5jLRxg&RwM`)miGR;hSW~
zvRu7A;<~i&c|i|ayM9I8gu^ykn#78UrIB9I5}-1ZmDW|l7$b1-<s}BXQ_m0z4`y#X
zis*CE^rU_zoRpu;Ym7e26EEAobVn_R*B2>gzD(ye3XRlW(cl%fji&D#XTyqW&H6Y}
z;%_Tbb$X*^tuVuE6~Z}(BpSlhZo*dO%_fcZH-++-f@(_gJ5)kH&bRLriMZXlp#xc~
zbAFdF6HpSNrRwphcXH`Ez6qmaPd3zLYRh({lBy05ouBpd=utO^-Zq&5+MR9mbYXt`
zG=ji6zp=;b7<>)13nqT8GRvi0&l28r+x_hui(c7SL7omg`|PpLVP<Q>T_tCC;(x^B
zq3=t7zVkZS?cIc2MUPI!jxpod%yFPU(!R!2FsV}EtPUUFaQI_8H=;NmL(MXD9>b!4
z^F>}fr#4^NuGPgm)pw--*x73s+7bBS<A0qkie(u;8M64bwV@)i1R&tM)ekxlt-1FT
zr~)7X7J+uc#>R#XBm=@%1Y>+#gKk})ZThV6JFs3ZW+v8STST#VPwphB<l^PUbbLT7
z7P3Y6)Z?ek`D(}f!SdTh3QMzD?E1Dp^99wlII1JPz;tig9a*HbiD0R(dUSQ_tB&Te
zILfF)d=8qv`5j?9!#4gH>zTd@S~)3)tMiecx%oM6ndOLFSrk?Uv69u@UQ)%Q4(<_u
zzDZUzA2OV4>Q`(@O@dkRk7YjFS;X*xg5|qi>#8rfe;hntxtfK8&DRqx<$1T&m1^(h
zZrQnNdieUk$MyF`@Z8|=L6f<)7ycmloy;D3i;nvd1@^icPL2w4Q`9lNP%*3M!BKIq
z3i3uQz4^D_tod2%$*DbwjwXl9`>WU{6MKaL*cP)g_1s5splznTyeDVykx}YRaKX`P
zmr@!IK2cy4nol0Hf?(@(uRhhj!1gc9&o!GNDm0>%q=_hPN8`kTo0s~`njGR3hHbts
z;Rfe6SJO#-G_Qo)_K~YU?GQ)J%*^;)F4F<WdXIzS*6rIgA`UAMk8m$g7Yej8Poon^
zXE~k~s-%fl0`q}zR~-CYYLf<z1;%oLHG--_00bkhbM9*pvkkgSGFi?SRhwYKgJ-XP
zHSq<4IDr#MQdK!hs|@$yj>OIHr|<E~M}7{GDe&Al{6GXB<I`H{%;WBXjgLpSR2s{E
zr}4yPQ?W)cF?d9O9lqP(dFH_I2)v0fy5kNB$upq60r&wJhXX=P9aSLL6ttpb1O&!w
zX?NS5Gf&v;XioQ0ev|c(x@j`Cq>MtDmrTz%W>vrVMeu#w*U5|ROenNjc)7Yrj6R6m
zlSCN(bvLqatop1rQ-)@Eu13fXt_<tBt=NjwVOB!xq8PgX-9GVmb!vUe5>ljXa%v>L
z-C$oTEpa(731N%#-F7)i&VBY3U*8mN=1ZR28&8q${tGSOks`8dJB+0d7`Z}9Rc-57
z+25UgGhM0JXD^X(M6*hFdib}#YWRx@*E=d|USnT^B^aGo^fd1$99E!fIE20cA)w{t
zv;qdadd}k?h}A(T2`)>+mx#=6R8&;B3>#;T@NLMdn1rSS2sVW76%cdSA|dm+85{`+
zM;Kz<ETjv^i)}TM8MVuhp56)vHHX{bLm|MvNWm3B!*8Yt_0ae=2=+E7%i%9x=;|Wa
zGl)<D5;aU(fsETKglt~BU$%tKc7^kEPxV>5N{kEcWC~IQnekJW=Z!<5q)I!z%r6#<
zo0|^qo+Yr_CT6bTn#rKW%ir67icaEs_(EtyfX7^R;UT|;LSoonPsLDjtxa!c7F+aU
z{|7IBr|ZGF&)%+me~5_6an)}3mi6BG<BlFls5Zsd^Ecq@W#L3PdxCR^=Q*{=F+(Tc
zqw7Gm$?P5Z>6iVb`$zbGmG-=?T{NB3$kATXywthD0$SIf+5stmxCS@4Af=_e43FR=
zidVI?waGGc001rl&fqbu3};y12(1G=0O?XNR32t50cSW|Wxa>F2btM6(A`6dRuBPj
z<8?3}6>K3-whud>oZ$h|LX8LrpSG#z;^i&vxc2q+1w;+>Z|AW331ne@?GVc@_a$mv
z;6d?eLmADBhD@3W=9yd4(N;xUBEjB4cB`Hn`m>KG>EsS9WEzI}xtF-^Ypbyy)N58X
zB_V6$hGh|36k^pslAlMO*J56OnH5I4*_%*Fpo&?~U5t|dKvj=2dy9go(_O;|L;I0@
z`m1=a-S@_~bo|Ivb#gqI;?E`pW%#Yg`jlFyunDEG?Y_Ke{nBwFz>)7iLSV<UfANDl
zwYQ6_O+%cb9sf$h=xo<ACD;Yyz#AxFfXWU_T_eFG3;?wgfT)1S0CNBpptHI7MRhUg
zifC_)7&<_BEeheBDK>T3c!)rAID`X93qKDL<kv7^0ruP28DJWoP}z2m*F<Aok^yT!
z^bjAL0ZtFJbaX!JLz#$Pc&-64fB~!=K-;>35)~21AW{R$1GqbgxOy0tfv^!j08tWb
z<j~s1nKI*Ebs_pb5H^7c2f<5#=DZnj&84L!^4Awo5d>WMEXMBQ``rLtt1QL}R^!FC
zAYi8uY&Nh?fdtSg0Wob2m=eeaEPgSH8-6b@U;B|#4U8c~1VMg0(9PhdggGbT5bl8>
zxJT*8xO*y&>8azlPgs|Bf0a)b)Gwj7I8o$SS4cO<<t`w#PIcLLUT3=WWG-{<vZhLX
zQ)Jc_Kjw3=BBa1(A{4|+whh<`sA~*;fJ;eEr+$TUMy#uBhAxvj8GX`Qy_9TV=-nTT
zG^;>lfqOOcqCT?yvasCX?#ceeZq$bX`So1VzG}KTJ4(lLn$^`)bq2d1gOULb%_k!-
z>q;QC0+Hnmd?j!|;I;mn4H4D53o=-Y!ER;@9Uu{d)BDNq7lwS1@X2*+>`bhzHbH}Z
zbC@TEj)9?Fs1-KzceK8ohNP(8#RSM9XqX0m{5ZP&n2z{r0v;XFUV>XfOzZ-#sZpf`
z3H1%wzEx6$wqVbghV**)<s>DVy1L|4R4K{%Y(Jp%ASm^5c;K4B{LhjqO{`IEV=yRh
zNPCrIJ^6hV{v9djzI(TOVcsVqLmzU70Ltgl(;DIZ4oU-9LzkfNC}oq90>dqgDc{L}
z8xDtYSQREj2F~_rpK*_-tvQGlEHL{#xG_Qn9E!d(^q6^jW^ocWpc_^nEJqi3*=#W`
zUY2-Ql^tMcYRXnFt%bGE_O2g(k7H?QY0>>r&QnzWM&_HEyP;jU@YLyG8~#4Ewj%n|
z_r6?{bc!w0s3oM5N`40#WkuaiyP?ps6e}an_=wd9Y}jM+MSN=E7&x`?dE!y<uY|Fs
zLs;W3IT?6-QxXzDyFlk2Jp=U_%8_{V9sqY>j_*(6*#V&yqFNmOWePm~lVS_51s!l0
zGN9F#qbzzbBMwM<jULX5iaooF?XXPW!LtBM+;*Zg^YiD0vToXc6J^V=6TpjL5bamE
zy>sA2g)Mm+6oQCr4qilakov)4=;KmQ*L%7hlO6a$&;)Big-1m}0V(JKK&TCeBg&wU
z5E?$q@a7<O{Upf57z4c00Ysk=6BA=G*uXyt`R8!p62E(Q9U(IVkP%vH_J7szkb$YW
z888kgexNc&Xe_KIc41F{QDyZUCi{VU2llOM*oZ*1@oD`V4w;J|^PG$OEKvgPQ}(C^
z!Q4K5SsB|+fz+Hy!g^A+XPJ=lFyO+hsQR+LJR{8IGrp&^Ai=`#gjN07Z!Ilk2H);D
z`<9(!rAsPi$-9R=+&p2G>_Ur`->qFL|F@VDo>LeBVUv~p2|uU?kZbNr=;|*THoOX_
zRC9k4_ce&QIOmAUC5~^m>cB;+o?>}1F5Xr6$J(SII)sIw*iBnkJMYYS!CX<$#eFlV
zKZctNQ9s8ZphJ9Qz*!LyKi{h7&O6DB0zu^#67o*<Ir!pX3%0FU#2Cx~TM~SwZ$Y>&
zh?qRS57CLiIhh|i-2>Q7ePH~oIA)C4J%VBdlx9d32O|YkK8lyjP_p3uNP!9g+A$E(
zAqXwlm(wJ@JOKNq9)iUKGXS79cKb53%K=z{H?&BB1PEXWwtAb!%G35U$lj1V8hZ*B
z<L98O3j65;$X)vFNe*~&ualZDJ0Eu59F_P)(Mi$f75G5h1H7r`n>l4s5$BDBwFJmX
zfWU_@%4CfbqmU???y*q-_Y(+8I56hr<Nzj!LpCnq_OE)I=%;oH+rR0L`EP9*10?V#
ze?7<2cplHs*NifU$1IMeft4?wbl;@*b+&ut&%wWDZk&D(VmW7}7S2fMn_c#XVu}4#
zDDu<44uq=-`*3e|a3*Y$7h&23*!He{RA}CJQT&|HdiUa-?;HL`9sXp_;Kg&SY?V`S
zTg-*UzH!PB0utvS;=!)6>rfqzy=<*vu3d88{od8-_alq<gHTZO8r{B0^G)aC_=c6l
z;W#29`Jsn}tQeL+n4c(bWmQCw1^?e^>_*>`{NGxD6T@cjE1(n#bxN9EcHY{Qy4kMZ
zap1be5a<Td*JhA_0D}(sqLDOWiIdO$>?8<JVYvg7yMT)+8#-?I&KjO1cXxM01RD&L
z7Bua`O_eW(Y6$>_=SD$ZAOS!@hgQ4El3sP)Gcd@-%6Nwsh>M>YQc@66Q6vGgwv$3y
z=Iz>V?_0bB*%7y4!`(o{REGkUy2W5BTDJv1!n8x;R5cZqj?LKsklr=IQx2;|Nm=<t
zrNuAUy#gct5pF!2Z&8|C;O)qNUAX6RkJPQb-9r(t*YJ9G3geGXY+StfpUakM<m8Hn
z`|h18*KHKJVZ<M>DkwfS-nZ!p3^eP^DRSdBnpVTIfA#|ZyfJ14&0#hZ1x>vx^1gPv
z+Y;7UpVk(tVzwfot+&HlGJJNHK!!CPeOaU;Ut#euM{8fP&Phh4aKqmlu7;Gz{Gna`
zufu(M(oF?y4Fv4kS`tl<#H5mZmYL!<`?^YK*|q)L>U|8+oBB&M;3Giju&j)53sgFW
zA)4h7I`6yR3SeU2gyDCyFi)iaRS}_XT2Cc#Ug!hXfoO3j%N4NrKz$>EExtPq;}0kd
zvp~)RZHR0r#5bMnsGZItYFyQ{&C|EH>_B;_K<nP|^a&hXkj3T2?{aYH)j1UqWWm~p
zjzZIFln9@Wf<nnf6ALlr8}=ikS_gAz{<!^`ZDjOHTOEE1*x}NT2;+F!3gJk+-R1e(
zIIA8;@3T=_jcq4>IUG(WI$zHBA22M@s$~uj8^vyKqxh3oI&Mlg_OAJa4c2!9a!uPI
zY<@ocImw-0K7Wx0x>haxCp^DVDaIzd>54V7fA~z5Uzs#)I6|YF`P+?chs)NS_O`(~
z@@HbptfG=(XNyhtWU^sWH^FfXaXfPxqKKJ+K$kzC{1zEq|7?97$Dx;aY*ovCbn;L{
z-v6}Le%@e8N|oBXc-6#~)Pu~t?MQI};aYX@0hK{AD!pr3x7m+n*kcEN{v?%!2^XeP
zE|E~F3yDsl;mQVq92j1SWkF2-3cLj@c!)EB#1u%9MSBIw6?1ZO+z7`jt*3<~BpNH)
zVQ{9;QU`V@NJiQMh<hhgWgF4bvZTb_ncYd!FPFa#jO4r~n72oAd_NgzbQPJJAweY~
zsx%}=4H1Ai;>m_`?B*-x`3JX%co!pz?{c5Ab*5np-1$pYpsW{Dk4N^godj9Xmm6bB
zLydjsgN5qDn2za2VOn!{?FKK+!w^Tu{7)8U7G8wB!gj@Vrc%v`(yqpC;gWcLcL<O~
zqjGmxu5ammoME&o`$svKCSW_Cl{JbzHGS)r_pdY6Sx2wvDx7)5t_xWL3@17Tnn5B+
z-a#`*xZ)}=uojgvr2Wqd(6|lih>3`nv5gQy8t_f9)1l%v1lCIiK)TLg7jRM_S?#4O
z%Br%n|Az9;BY^9Uoa?`4e?i*m31nv5HOqeFlRqVG8Oqx$ztD`C$#R)hQ=T0qF5Uit
zvSY3h+tc-C%S|TEr&+6)zha;L7<s8Nh`#8H@i&rCrve3oPceUwVh6RwA7U!4xhX}^
z=DykH!0^765P?aTg47;bi7nz0P@VWYlz<Tem9u@s?mn>LqpMjWWXv^_9CFgmzB`Dq
zEfm(SnJ9DV?aLqKN#hnl>PE&9)6RG)5N!5QiEw;n<y<vQkAWXO|BsTh1}(_Yzv@*M
zvLR2xQ)%SB`k}P6v_FX}_g?h-_i!|Ih8gW}-tlvXh^J^MaA24QLp?w^JR0uBvI}r2
zV?O;nL=J{1ynQQPb8M)t#UlwJjj&n1K*S>~Kqh6+_LVG_+F?Bb<9#hbqjBi<GTm|r
z7^UVlg7gedNpvq+I2y|*tM+P>Nl>NlNQ+Li|E-|`H#hn(rIy&5X@`CH)Gu)>BtuG@
zRQSGF?z<J;NOw#U$4fe=nWgwbi;i)8_14O(%*Dyn@gs>To^&u$*4!%(Xulwfk=GMO
z#}wOT)#tZw#MS&^(pEkCwa(84hwI!C)v~lDA#)qG$c<d8G`PXQMq!6xpB_mL>ACz*
zv`fytdy;~=Gz%)HwO^~=kw4=+<qn$_6wx0?;?O2+f}nl5M~~d9B;+bNmtvvZz(y+`
zwugj}mO{2<YGR@`NZyRR%ktXFGVCS58HdzU+Z~&Z7UPLQd)x%dW`+*f$Ll~&JCc9{
zqWN8`e9J=L4MeL6r+f|Z{vaHDw~MNQgCGLg$6NCLxP^J93zbYj=l6EKR^;cSNK5Y$
zU3&Q#V|#QteL^Se&J5lkX3@rki`P#nL?UeJ%%UWG=X@SNqL-8ZKE3~Jx25pHfr!Qw
zv>rj%97kXE({Nm0#8Mp!H_=roRa+Bf@jh3hHGU`KOe9gE$>SSRCyPcaDjXC|X~$8_
z61{Rce2h<RzUHd+T7Sa-o_UGh(%pvLHk|*Hbv=Zm+XMjf;0So|X2=-&Q7FHlz*T<o
z<O*gDSAwY?bbGnExwFt>!QPk(!*5_5(mZSkgtrZ0oH1xM3JMC~MY32Q`d;FJPR9!c
zD_KoRiG7Rw4;w!0mE-^!SdMf5$ETRY`Mj+LLt4}8$oL4djNFCd;%Q!(cLg~j?@dpj
zJvnf>ZJg4{srP3t_-tb=dv&#aOt}x)cOX8xrbWr_`P)#7V6m+y9*p#Ass`o+Kb*UG
z3F;cuwddbva?*1o-n)0(fn7N6>nN+&NUgy)Q8FcVrLThGGBu{=w^_-ECB86iaV66|
zQK56OrvD(eAG`62QCQ9^wuP$&HR7#VlU9suXt<X3*O#%yw;nNg-ctDSDO+^8%}^_p
ztr!9Y0cIoo4|oQCiGjYp@W{wie)B$P>uKQt4Ba5?k{h`&6lk-o8~R1q*x*AKgDM-2
z6}K3`o(D@U9ZIs)&DkK>I1Jvh4}z~&8%`0>eZxsB7cK`P)O1Uct(|38Qs%$Tjl{IH
ztpYy9KV>k8?xkK0tUJi{U+)c{ueP0s!=5{-)7zS(-!J}+6&%3%8_wPmkO}rE`g}x`
z0+^cE*w};wr^Pn(&M{Z+;)gNj)8pBqy0~Nax?+=-T{*5T+{}oS%vv!V`KRbo+x<9?
z=88v=PE}N|0{`K%Ha4pc5qdR0?;D=uG8LYGg<^6rVeyR|@3ShUJItJOtX|sx@j{^I
zm+Y$?CLDs6si9@(?Aih{dDV-CU^%`cUy^2|hb>brpYF`Pv29}_CZ_PbqcBa!A{m?R
z@kxTrJc!8fz3O@ZW9s~~BVr73jzrViotdQ6U^p8albypr2UvO73{${^fae672XLcv
z3kkVEzBhu$gujO4mTmo36*!R*>PN&W76wCJ_p)W&2M;@hl0ms=<pCQUqOkz6Btm`x
zr=ByPo1L39Vf(C#02)ZPyFi26x&Z^W!%6O`rV8(603ZhkLN5Cj;02S350e`a5-d>2
zW8vX(ZyDpGprBj>WY-K3IY6usRFD{PH!cqsU=c9-OioUgG#*dEd6;B-pz{bzrEL|<
zk^egNeq8)-+bgG42PbbNp*}$o^~*-9K8&mVw~z)=l;l{0F04I*g5<8s{Z8kBU?WkL
zNo5Qp8Ba*;%10HG&*ZD=MVs;X^!H?A2dI&hhtay1$uJTF&fe|eFJOPa`}qL(kq@)r
zhv&<*Jwb-kZ=N_0+&X0!NF5576QV|cVfda@kn^XH9BS(CXYQ-hoyPZmXEV<qIp-6h
z1-!Ab*#_aM?8ArPAJwaP!w|SWl8eaTM?pn}Gt4z)i@~9?0akHt<!Ft)DMJT%L4pXN
ze*-A`v9j{hLC$Rg&==^COL<>HNQa)5)_oYc1%TT((DUt%!tMjJYoAYrC2<>UOqS<`
zG@kq&U4t=>f@V9k;wLkXa8hr86%E(x-><JHFwG-T(bW}LdjN?5#Ih-U4angC<(KO<
zJO`9J9dhB}RPfl$*UtXR_r#PfzUxD4_%_lUcLY}Qc<Zt&$;Z{z682X#(siF{cpNia
zL`E>&<mSw8YjbkAU?Xeq)0*zQd4ZwOcr1*~Z<pk1loUT0|NEUo-t|2P!ydm*jG*m4
zyly>*F)?|)T;kdLNF<De7oYC5@>#Jntvy}mQR{x+Y~b=XuXXU={23k=QiN!0xIfUv
za3qDygpL22W)8HbDB;q;6Dw@o;@eI8&I%wBAWmTyN)vbAhqPKanST<rOiWI$f#c@L
zR0Cw|K|wf&;7rN=9wtCjcsMy5V0h$}o7!;;%WhMf#L0|+%jN`PzXGS3>#XxQoCZZ*
zHp#)c1=uIRX0KrIAuL(AYai68g{+d<);wW}+cX~i2BfF4Lb(CP9}4$hf$z7$xYZxZ
z7nFBrxX^Gj0Oytl9czHU|H$a5>(&$^z!Q(07m4T;<2EHHq?&=E0M1b*4f}om=s4#m
zJ3D(f&2R(ZMnfyw2&Zzm0)TQ)i;8m>+b0OBG<qV7hW^RQv3u{+>3w7@j_L9D!^zKW
zT0Mpq@wY1`Ndyb^4c*t6KdQMD2RuA{s*Y>M6W+>SkbWuIph^JwVLrnWjY5F5kH)dH
zT;ZVct%klH5v1`P^trMIngvf%%$h{ScOqFRKTe(f0SU|i)ErKRKl}R5SK`$`V+4Uv
zm4HftSOx<V^F6f)<dbITm%WsOf&vp%B(zVUmG%Z81^}&-3IdoD3e+?Z7vL6wd8BUq
z5nj8km}=sC9WWi1oRShT)?7As_ZAvd4FZ_((F`+4;W7Z83Thqr62CxT{wg0eo4vi_
zT3}wCyAY%r&Oxa^Lz4FN^bF&727K%Wl&xZLe1VGvMMLp;B<VIHqv!@e3<Svz`^2YD
zqSjOQ&tx+*Ghs`4x$`Tign-6yYoCrJ3^z&4Ou=g;DuY_33618<dW;-((}`J`#P>dl
zTB10VxPoD;Sf}^`LYtcWdfLbzpJJbw@jEtY<ros*zPoBtLE93C|0v?Yq)D+&(7pZE
zGt$wi6zS)Ga~Jo-xyr7-9LoLVczXHXGOXHYI$xS~=9Zq*P!JaqQy}Mn@u`UY6|C*u
z3|LG13BNty;BE5yzkuJ)r1xSFnK%`sN^o&->{}tm&0L=D*@^!#@&(KcV6^t_?F$la
zzY_*1EJQ>^m=Nd!-8nQ906&+(@;ib2Jc#guWqb;?_iQN(U*d2GF<TL&*%0W>!o~*3
z{to<R3m6ZNIKjj4On6yu9!QNB0k<(Md)Wyb*2(rPL?TQAL<7&1kmc{qXtC{eKx<%W
zl6?JLUrO^r;QL_01KTyzarY6+2|Q_uMRB#^RTtdRsrJTol4afp*+>m!)G062gIYoU
z<Iv%h=OyGaRea0jJa*l|0bNYOxpt^LDPGK7xKAgs;(RGHU{03)e)0V;Py3+R&zZ?K
z@^C4b^J4jIc=95H><62^1V&TCfa^8>Sm0OR%PEJr>wA%TN!p#r5x?c+Alrbq$eOJo
zs{c;(Ima2DXYCUt5#jUd<w2hQ=DJ;c6lqh9=+KCW6hTYv%9z4uMXN{yeZ4=M9n2w=
z5CR{ozS?r@C-4~7=KlNGUWhxXP#V#4pnk$rIxFR~!PY6l-V=DxvJs%(z(?SwI2io)
z8#U^CnL_MC;u)dUk0<XLdItZnPJ>i}0#D!tzM^+TZ+X%8*0W<1wj$C2e3-6FS!Blj
zX5f`|3;o*g<2lo7{Ui7LWi2aRy%j;bOC$ZFiG=t*UVSIW{zk^T7S56vjTq{~VPChR
zQB~E=&*^w0>FaiPEMyvsr|(z%5P87EGx+qq1lV$*J%L*%8w!O7m`X9IhO}Z0w^&tE
zPZ2g$NY!hDX(RVQFK-Jcd$7>D*r>YLM0b9H#~Bnkq%S-`GGe-TiRCz#`m=qPcdm<@
z?$yNSf$3g;hbKd8PX_N|s6-N8{i>ugUY;e@P`h@1!D0V6DRgS8WNp>x#h8uy(s)hX
z>xJ>a@{VWnIo!uq%<|%2+`<W1E|3}t<vF7_tB_y5Cbd;x>#Dlfv|2l#u4!eP;+rx;
zh5MWMUP@(uCj*A!zO_U^U6sSG$<R-%Ct8n(<aM#`unCi$lWJ)R4WO%hl;+I;UL{<%
zjHI|#I@<r^(I{t(^Iu~&+KFw)Zg-*Gb`-Cg!mZZ*3~%PUop+zlyfYa~oJRJQ4pR#o
zqOBX7SW0`7C<pOW?63BNofoRh`ony1&y2qLdJ650zP=!VKLp5GQ01yL;$(c5t6!4)
z$zz2}RH8lar?0#bvtv%>K^1RAIxo?AjV$7I&fB&X?}|CEzkx)Bjo1jFvIh|$;#{WZ
zuM<=Csh{YotAC#BfyV?2q-LHfO})pe8Mvl+0ujw7un$r11!UoMj{}1s1vqo@K2AgG
zSy<#Ys}Bo)dB3kMIsqyMNxuiZkDCLVVk&b<jB@nB;Y0H0a#pUH)i~eFk{)P_wYI$)
zo|Dykze=U$iub^TAl?fNjd4XM$Jg^aKI!bZd6e(n3%B#JAVZ<uTlZzkDM`kkQJg%Y
zYNDw%RmGvz9$ff55t>0`;dYbl5SVSK?}7{i#ysuI@JH=79W&=X-dagt2pq18Z9z3d
zp(7;~g8dQtY`{iO=6$3@Mb8000UBi-HYRXM^FoIL(F@RX!|=%ezx%Po9jD<b76|RR
z6@{Z(P<yC<@>A(N=scK1^Q5j1Tlc_?S;)Le{u+<>>O1Zu(Iu2>hOpazCzVH%Z!tgH
zMITZ8t`kjSN#a#&t+o<Cg_ggTDzG?X(@A&z39X~$qB|%Zx5hWoiy=ZR!?SOav|j_g
zApe*j?X1`(0iz1V>j?*1kqX@adUVxOeP`9(%M*M*d^|izgecC7n*r(>p_YaB4I4Z+
z1d?)dZ^H&YQ)#IKU9gecVi4Ga5$R39(2b+|xd!4i!lwYq1ls}j!?pGjexk15Tym!M
z*dBv<HB7xy?j!`O_R?bHLN8p0lyvYMsE(1uw}J=^@<?rW&5IkBid+4;=yWpsO7~<L
z5(WCccJU{^8<}A8TgEm&NYFP@Cy#w?(BF<n^M^#{Q-lJuUVa0vjv*m!N$!5Z9VHDh
z({)+f{)cPMt^{_OT#-zY$u#OjXh{YlSYqR@wCG~id?Oo!2?ViI7l}q^<lYN)q|Tu$
zI59ilGJcVgtXpP9J7}rveU$X7Oz`@3cB9&_%mzkzVXFzCh#^!A$jf)YN&<Y_+0_LJ
zt_V9C{PkC0*Py2SmqB~<JJS+2900n4kQGhEhV&j{YBkB+lYd9#>taXe6c$B@;{SkT
z6lug`Cd+4!jZ5yJg6xgmC(?1zOs-<xzv($q593igbS4vbax=}tm@~9txZZQt#s=Jg
zm6bTvzoM<`Hq^m*?~nQ3R`6*QJ+5S;Vtb!$bd>p2`3alK$3qi|mi7^1mO-6VNghe2
zsDMsEV_A!k6#o+yokRV0{e=*NvN3<`32y&o3N_NlGrr8JrK80<$Sq%Gtk1{7{FeMR
z9;k{+Nw&GHZ~V3Fp}>4KIcPq}i9*WpQ*nvz!TqL4>Vhk$wq-=hIspMaA^=wcW<^2X
zro6m7^vhMY^WJcUfEu~Q04zdwb~doRbD;dpKIY(s$XsajZnM=4ncgLQTQ9zLh1w&F
zFN>tKR+@{q@{Zr<yS_P%0Nn(H%!-o~tgF8NdGhB-pfo|L>-o^p!2P@2s1cHh(Vqlg
zTxy|Hib~ZFT@XiqVs{o6!11!=FwG?reMQD`KHd@Js2<IIs3viw_2$hwOkJRTw^;_=
z4>*`*aEkx4I`y$k`p$o>^|DFK^~d)1&jfSs{xMG&MY=2$oMNADDpiw=aW~#axo}V*
zk|=`rA&TQ%*rWJqcI<Wof56g~+ln6J(^%xw&ES=1eS9+pe4S}^m7}y$&zw4+PvPW=
zcuY{muPKN*4Wkh2q~VabNxa!6H+*ep)%p7$1ynU~a*aXPk@n%k5j2H?fq_MUGDAND
z;pn(9L;yrK@oJK_z&0!g7jxAB5Qn&Cx(iPT+~!c!>V}e-{6g*`iM(t0tjU7Y$8S1p
z@KHgo`eS~C@b}f{5|t?iG0QY6xMH=miuH9bmtAUuIev=~jJ^5F<IsJpa;WUIu#@C<
zD{|g_t<M!cBoQrQqbNQ<+Fgy}!z(Wpg^xQ|RZiPLIe4cS9rW*H=16w7_g3dq)kX18
z^(W74tCD^}N`Yn<%7?-wOB)@za3tTCZCrUWWz!p^ZeF(*6q|80!yUL(yIDeR#am*#
zy!5%vFXcajS)XIwM00(oMUu(Wtdgk1NHUV>Ff3=<6FrD1*noz2|7>*{-&P-$Ga+Q>
zvbNZ7u@1wgwbL2pKPuoX+|oFuIW!gFiT=D@mi0i5JGMxyi%1I?-wJfi&v+R+Oup?Y
zruJRy^~%0SCav-mqLK<eAfaffe(_l^AiT@M>vfekvytVH)I#G)=8blt1$K^@x~nWy
zD_id6_~Jpv_zB4G3Cc&}J|rRbV7<eC){Lrdc&wYjamSNv$mz#FNsyu8=_7m-I0E!f
zM^QJwm)(oAyVhxs^!T3dC+8D4-D5HmQc&vt9W8Cho8_O-B>Fs`Ny*q7t7VT@#^$lZ
zk8Mc|9^TGXaqrqQ@z}Dd5`c>}g2MTlt;&-2EJ(&>`f(Vm1NWGK;J&N1Kl83-z`zrA
zKXn<3glq@1n7@ksW%yMOjaFPNzx3EpX-nA?!<e4){U-|<U^1tmU=QpW92^`NDAFlO
zCwK|=4`^Q6L%@c=^5@Sj283p%#4s%}5eAlPs5RBWsqa5nZR1KKXc&O++L~{cqNo21
zAQKERDR}me(*DBL^gl9mYAV#hi;;uWN$ihneDXIgL*+8zmh}2@e`^$fGk|BOxlmbP
zTn)D&qZOa?V_1}H$K8L<%Jmfo5_dR6=~1#yj@?V+i%@qe<oZAR6S^rh(s5|h@DtgM
zy{XS1+I>iRPKbok4A>Ra3K#|;)8-!6k^%Xdz>I^QhJ%9x+#9-(**@@5z<S5Awxtp=
zwV`dE_wenBz$x+4CHn*!<&f?{2%Et?)zi8C@hbJzyErMLifhM;8dlL=iH>@|)lmx`
z(UXPY7zJ=n>6DRLqocUFP!|ZlMKR#b|9s9w7Tu|1<aN}B!vlg2Gz<(-8<xUBVizt&
zTF+BM*xCNit-Q`=w$A5#G(%j<89G$ZGF-1$8!ZsR)2W~ASGQ<zO+w_xmb@A^bTVnq
zt>kZ>^mPhj*N?R4yX&(A3X=O6wCXY!_`PLi)eT{Pmys>}Nw31>+7#?|?N;BC7=IOe
zvS4sZ9<6EQ;cg=QS&9TpHCd8u92X4I|I=CS=4@_mE+;Rq`jH=9C-US{3v7>YR^c=4
zI;|PM4q(FaeEhf%SQ&`tc-dG0l8Gm&!e#Kk-zg5TCEc>)^|TH970)uSEcUtK^8s~K
zwW$d0DM?jL-`n`IO_YMas}_!@I+3?5vWwSwW8)ett8j~I#yxVS*3}#Q$VfP=%!D3i
zBqcYl=LbD@Q;q5OB9n7){#AcYH?A)4A+_*njKJE$gUzb{7mNNW9*KnJrk+2M;q`xq
zs04Ix82%@3^Bz??;s0}6#by9Kyh0@TFf590I<|cx9d%*<76jr25>S^)QW6qD;})cP
zJ%L9K4*Q76j=*HVgh3wkOYIU!?qGa6?m&ntafS&JCO7{>PqY(~USpSuHyMsd@@Opy
z|Kr34GPTo3GP*@cGhfWlTgze{Dg}6y3trWt+YF(Qe4PFdRo!jxwRV1-9ja`po^#@o
zi{sGNJzchty-I>QWzX0`ZM{q`S*_RmOo1}oo?m?W-eBu9|9Q{;a+7z`O`@oWX)0>0
zcPiclSH>L=-nzVOnQ|6UXnd_dVrXcGV(Z%MMJv2=3~~#Vj2Bv3D<X}cY65Q!$OmAm
zl%JQuJs<e=V7tL$xCR{#04@f>m;$F@#Q_2z^9AP_cV9RJ*MbxV8<BJYU;XuB+?!~F
z)mw$+I?+gTbIu#|gTXRf4;cI_{U@FXW=m8p`~4HNS{O9J*Yd_~QH~1dUU%8MS1&oI
zElWs^K2Y5&@<C2b<;jD$>Fg4($ach|`4<JZTfI&X6ZdjXRYp2pZ*|^yCMmujI5mj=
z&LsYZG>xpUjPWxr8!jil)Cqy%=@MnuKh@n}J6Sqh6UNo32nU(9pK0BZ6o@hM5D)?f
zWEhVGXXO1nVp8xj*Vz5nOC;>NJp<|qfbkAt_X8XW#%M9~@(xK!oZy3qU*gSp@hni;
zMHL973G_X!#n&}=iQqtC^lnRVuu6HMgfF>AcCg%osOivbPOOQ>`3K6biy|*xSRb$5
zu0Ra8go1>mCewjOKxodh-<;kdg6&@j7<H#7sFiaRtu^ZXUYowyaNkzdbqdSBJ?$xG
z$Lu1iDEwkD)Z6IE|JDMO-_bdVY;b(E@v=6pP>=9B&{nP23#mAne2;uH(4{AQ#*Vp(
z`mKz4T@)3XkfhE(hA``zkg1ibE(Q|*y@!*x83sj8+n0}!uDY|i@*Z|4j2KT8WHKG$
zA=Nmc)Qt+W2cSxlB@#%Hd0wHHpeO37Z6`Mn_a6DS@-Te<y^C=`$+D$tU;RzoiP@OF
zP5hIzRXs+jb*abGCq^B(WAg&Ly3WJDKWsgGV!G;MBJiv(%i~5VIaxpXak9c?bWrXa
z-sFNpiHcRrmu2|8JvI2VYtaW*F?2FWwfnsoBw}GFF<U)EW+<fNA4u}?Ri7_La31<X
z)qvCmC%8j^E<<oD^mqGi6z~2gTD3V<sf?uoMH>p|tk=mbxau+>HVni`kT)j=C@#o+
zz*+kUYZx#ufYQ&42d@JIusqS_fN4fxR16&;`+hO!Wxv?wqh54qLyl^T?jo|`YVLzh
z7|oS?u3D+QFl8E^CyZ=pUMBc<dU{Hqlc2}>2#wH030W5Zp0wtjU6qB)vb*O<(H#Td
zlq=(+O!tyPwjao7$Y_#=(Eg#%z}fYFpTp1U`{fJzsik@vgJp8;+h5Y3i}aJ!8L>8q
zNB$W~Rx1mpWvz|FDV<lmb~=zys#QQz_VKqJ=l<8&i{z1}y|Pp$8h<pmCTQ_)(~cj<
z)N++-{B%Jnniq8L7hllWHza4FyT9lfXS`JR*+PVLkv;?+muMiwGvRd9TyGuXl!&C~
zh-=ER6WQYL&F5vC$v&aard}(1$(0G5xy<caOj<YNdC8KxZ|Rf{vZ2rx61I*b5U;VA
zcmF}W0GuuU<?xr=uNooI6^GfatFv&@N=2VGUGSn5;?X%~we*S?>ot<8_Y=6>8zNyW
z>%1|2K0}&(8jh*4LV-&4Fx-!Gu%YImo<K_%&RQI)sVBgLbH{R@tb4nNnpnJ9ytoe)
zox|rId|<@leT&AWMDViwjorqF^=EH~BxEaH>;j~pWZs;Ot?m}a8>sBDi%Kc|x}bmU
z*)faZ9FWd0P41TW&{pY3sPMg&uc0n1c}RID<I1YLWXCKj6MHKP1#)7tCyTmDX`UqO
zYFS3q5yU2CckapSA^m*CsOxy>jJ3~YHs1HZ!Lju0Y(LF<rc)6AzvF*e@<PjB&i|p(
zs?O@){&%V`H}1;jd&q;N_Reozw0FZi!;`4R=+J1IjEukYX9j<ExtvQ!5~~*uUo=5e
zNwRp-;ddeC!Egs$_q>Me>^g<7o^?ribzQQ1D^+8<xjzH#i7T}7N^?o|=?R!5ideJ>
zWRs>AM<ynUsn+v%t=3VutG0zd^DREQPhY1*_q<wKT{2qii%H7wc55v(Gy@-G?r&)$
zUfeQTcGX0Ir1u$4kiIE7bk$oDRfx#mkZd2;c>3Sz182m&xQK=Z(N~J;tI>OT<Q813
zNUvtFY6fCRH*W^#K6WWQGxKTwE`!p_OFn6)sEhW98HG?zJ<B)rGgCxg&%BKGhr3@R
z2k(l0mVe!aA8|JYjrc=pDE%8VGlf`#ggX?Iv8C8|$kAovSg#t^4{O;9;y3zc>*}7)
zKM1V<{jJ{VYQt*D(4oS#{~dK1er?!6TplZ2>t_ziXB4Ep^E~z5e-!n-KgcRqPZK`=
zTo!SQc|qCSbsne~nB7zf*fh{htRP7G@}&t#T(I`-S#KVBNI?b?j2}5cC^11(2o%^k
z1ih|<1g=OU`>;g0Wo8F7y`9j)0cGe7?FS&G^PrA|ly1Pi*Q%K(0aFm$X($KJC=?GC
zX6A~wqX;<(;Io|Ll?db&Di6>JvrslbZ3dciayq&UAT|>dK}=W*_NAD21|WsMch3^y
zOb{VHAZBM`VgjVMq<*^&@!sLpfbkl^lSFO`Ki~!2rf~^25vw$>c&db?<jO&60TPdW
zXY3*=OPLw32oU*?=tY&>*Kkl|x7+%iJvB;Q(xl#rXKNxEyW_uzBX#qnrggxY?#MX7
z>t~qTw@MnGd!)*~SCD-vKOC+4N@(fZNn{;qYF<>T$)aPYsahb4jX;-fx=(*}+opLJ
zcMlm&OJS3Y#LXt|YqeKBQPdA`&0G|2o=5)>DlX>zAr-dJyyDjr*GT7?ycdZy!^sh5
zpx}LHKgg!_`A>=sYvCgXCo^GsmwZ~3YPEIqC_yRVfrkS)9l!azjxPqWNZt4yklUrE
ztKN0@Jd|9KCZJ-K6s%1gn||3r*C?S<sMg^a8|`9+HA{c?MYPO(2s`sjUGOPQSrAYd
z-QC>^3JN;l*91leI<Atx4<Uxn0b<uc5{d{u0{WA}6s80L06YhIFOMEQ0@mOaM1;mH
z7~?jNYSAOV@9pbDOu-4%r2Y>MzYOFhLQ4!NI4B$tlZ1FcCR2roqRCN;mjuNmEEz;&
z9rqeSfG8oQ6h<$Y^df=*AsL!SuVVd!j$timgHdS_0d0`gUBRO)Wx5Fq3ZbU~2^KVZ
z2$FRD&E&KWNXct-L4%Dj4I!u?MC75*)juQ1_~5Qo2Eq}v14bOD%rICA^xhB^h6uU<
zWey@bvlruyRb~TtLgpe|u|tJj(>^f8>ni#3>~u+8waCuX5qyoz9c%R=BXeWo+8tuh
zy%jF8*6F3F+AEgi5}Gp{{8FSMmOnXu``=Qq;9^$6a|)$Rs}Ou+o4{*~sE`l5XkG2H
zBivDJC<}y&&n-I)0@$e}jFD6=YJvq6MzN=33PVC%C}(i2x|zt@?DOBX<{`B_CTC?T
zt>?K<Mcq)AM(0%Du;Ucb-)Zfu=`taVz1&0SPEbo|!}m3c)c@pK@`iBJ2+1q-Sz}ld
z9_6c5hVF90E>!vFSS&<&izW{=JWzi~D192``aX;`OO~cXd+CYt(o!gc#h!BY<IA?y
zZnW)WAA@VbG8*@I$&a|5kN@=0XMHJeBvRUhQ9}u-sfdw6pfg2Cc!7Ow@B-vq1^3RK
zUqFU}NApWgPD>ofAY}qD5M%fZOR9nR0t#jSg>8_X=VLkIU4-Hn{sT!lz%l>J+zL4@
zz><52r^BF>8_W5oD-dDA1Tv4&Cl4fme+0=8B5f8N)!tx%1==0b`Zj^T{UAOJKj^v9
z`1k_{EJPbv0FNGZfZ`8olpsKIaNi?bL4tGyH+Fex2|C1`nq|BRghv}TOF&u*ORQ3G
zVeu3IPYmR+rluxL;vpg-aR%N9*g9|c1hns84<z#e`-4!M&zVC#l02G&$^<Mb)HQiH
ziXfEKa6!O9a{A+e{OSkbn&<$xso!Y=Hkr)Ssw4DHZr?blub+KSqvUH~tnA;?H)K2b
z6t9)JFL|b2`cGI__^hROT2YXj`wBf26go_FxmAx)Mxt6n?!5Bs(!J}V!^#rK=Phb@
zsSt*1G4{M8=HrU{+ed$TG1u$nS1{VF?9det0%D@SDw#=!BskN19K@Vr?pA1AZ86T;
z911<O9JI46$mFO^6vvs68?`(aXj$%_^TD>)Dt|2yYq(0(ne<Dq#m-QAS%;rUQXfZm
z=QR^{b=SOd+Lf|h^{Dwu-^~bx%w1B}yq*+B+NOx7qe&CvbdjdI<S2PNiTiG@+^WJ0
ztxDgxy=fxF<Yvvw_^W4Qb=j@|pjC|-#q6*Uz1H}xJd=oWpW)CKgwt0bI|tegggdHm
z!(hfraz;i5@QoioQczL-+j9d76C%NCq3k2FNMU<`8!iR7qN=JYq!5%4YD1-YOas!+
zPx#{M)KQ?0?}o)w=c#e5c?bOx?k(hi)xme6V?9fRA*ztLXVI6y4!8O5T;m0_o#~Je
z3bv{C4mFsE1V0>2D^UlTrJ(HqAyxinJ6Sp0ZfI9i_*~$aWevk4x~L))WbvW6z@nRl
z-?zDGwRfip2y8gKz&a}f=St}g0Ckh_J@{BZJ__W41O`?RDP2c55QB5yUOZ?*TWSr!
zg!<A1zbJ}EtO`hM;}I#xKanLvZ9pah$6DC;L7A*q-1}0P`kQ9%<KEt0c&LuAs^OEs
zpZULy^u#3Ut}fkJ{ce;lZTq>!!StH!r7emB7nYl5R)p7n=g`l$-eNh~-d^$+e9aE1
z{p7(`sKO;n2K$$Zp7zhJhC(=F1i0L#=hmYn-kvGbUs+KxJUyl@hB2Ntsg&;y_Q{f8
z>0@oqg^p~|zbyMjHZqmx_#lXH*}cX8HfJw=xss1}&8440L4@os#loK4@aY5J6wR#r
zPDl?<M-m;oCYs2ugq}6~ve8LxI@=yj)KXq@H=s+>bBm3};fI~x=BIsosFGMcIT4=~
zbL&$~$75IYnemR+UbT3~`%Bc)37uX%_DMTI*!sJK_>5*0I)Zd#;JC^GgdM>@M>YaY
z2lJL9%K+X$#M8pEcpYib1bk(R5D}}&uA4Y22Cm|hCtk}@4`4D2Xy~e-_DoFZwzf*p
zLME1Dy89mr*WykFjx68zkYWlJ-+Wg(cqLH2^4{Lpurj8qti@mi0jDeEI_@F19oUs3
z%b+-%T@wg^H`?g0KS*4CJx&mH2mB>Hrx|b;X~yc`Q`yv*0Ou>=aR?K#Q-w7&TawJT
zY+>m@paV2c2qGFXFk6P<jp=J?b&&sqYEm*sVVdiqwoL7u#NBg3Omee!PP|yv+0$>T
z6kiiY?7GD4vY*U5l`<hWvP{GDR*$W-*{zA5{b4CT5^2c7er!Hc$(b^iP;IOqv~V$*
z7jb)+6G5~c;*nN840xn^4Oq?Luh4oP2l~d=(ilbD2%`&L(q4=aKg2P+8!Uz=H`Vi-
z5`7WXVC;@t4_8ku;g`+*`8T}pcVg!{lQH+^?e(v?jXT83KE{Vpx%msGS20cr`hIe_
z8#+{;LD@xqe&6Ihm#c@;<hx;blEDK2?HtdGssXkRNWF;r@L~1H1JXe-N$LTK@X`$B
z1Gr{Y;M)UmeboIcp00Pb1^%R8)Ek_Hpix2Sp`am1s(hlTeg_P@dU{~9Q|4;;^T`si
zLx6~iuM2Va=5*odE0aU?5Xfqadv209myTV!5ZmY#y_&lY?*LRIogo~S^HBL=Mu-#C
z7myS-IsJ{3!*o{6gNO+sg59P~r^qq{Y|z&#_*-Q1-yj)2&C!)LOR0WC$t?xa2*Y~+
zjo#&kqidhX-&o=&Ogh~Eu%O=N<(=h?)Kh+}AM=lQze*Tw?U$SMDOaceZRG+&xj!O3
zi|CxpM8jKo+!^CrD@{(S`}bdxY5r<=rg+vj6ws>tk5r4WUP22+B-!__#>ikZse;e0
zhVO)kC;ngI7W+txs${~aLNl#<2GP&2>K1ys(6a(|@yR7=glQ6LG>h-kOqNAm#<L@{
zNCZZ>W;!TYsF*GVn4%D|iwFv36{%|>FZbfF&uE!|8JEjtc@{cp*rE{obxaH|peaz#
z&Jv*jQY7fX1qa%}OSOacJsTrqR#Cva#yO}<FxLw9%>GtOyP)v93oy~h#lanXkZ4rW
z+jWppf+^k!`b@X8ee*6|xI53)MnC|>M7rzmh3K2SE{>t`c7`qr{JpPRj(NLO)5S&L
zun!G4<ig)b_*{EJ=1#$Fn0kokGY{?~ctaBI`#FR6Ool$oAdms6f=qkAbJy##h2W)h
z%(TD!E@7|vFl%v-Ib+g{QiBZVh)k9)WpWc^DE=}p&rt|c$b8x>D-8J^u1vkimw#uM
zoos?sIN|=8{IH&s@Ka(sr@B}UCd`U_C2BkFXCa)@6||}~A2#PlnsF#l@fElk8lHv?
zJnPzy8Na2#<cQu#ZaNy>_WV+*KOfDZi#sXm1ASY{XNNtzYzE@;N3yIprT8aO8QVV<
z%?BssO%&NaUg0F*SNP$Uby3_}EN(?sK5Qq@*cP?lc;s|z*|w)z>RSi0GF|F`dF9|u
z^n)iX{4@(6W3#XA?9WPdg_k8wwk7OwrR2X8WOue1`;+!P&H9r?_kHqmyd{j>Kr)IY
z_=a;qDCWwTMMW>@jhP~Dt;R1Wo1DA{;<Ed_G%O5`j)kP$hI5C=OOJS679SDTYo-D{
z3u*>vMqu0m%;h{j8%b*Wchm%(J5XO^Kt?(`Ix4$MEdL0`qwxUU29VOc>i0=BS^zSu
zTyfYXVSC_PnLAP&pDOM?auQPFgdAr4;j+n&kq?Lf3dlbIgBIHKC8RU&x<YgkqzQVQ
zY{Li^#NvX*X6X1s5X842Bw7cnmxV>)fRbR<ZtHii=FNMF?p0WCr!9L-nH|R>Vs(~T
zKRwxgNxXFYzDns^^fNEi=HG>bbHrBcLSy}GWvHdARl~z0&nlH7Go||O$>X`6-jS+u
zX?ydG|EmB~e<{rac@nci@oT-FGk-$+w$$g|lpkbnN2jWKAb&o9naiWgcfCxLe%}qF
z$t$rdU$n3D81o?*<2AJoleO>kWuaq>L47I|o#}7pfO_?DWdRDop%!C(I`UBq)z+R7
zu}!8%GR+a{j8{8zy2&AGgW!e84N5T1Z1$R;nrjGV_6mK<e2|OrA{m3FxX|B{#W+rk
zR2%`yzdkQJ>k~>fH8F{CNbDPmvDshBHTJAcKcMYg_(->k!-%9kl2SmAv&cYKGwYT{
z!-cMC`1q2;{<c8ujD|{Bui&VHee!<zF2R$kL6|Xj0!NxPKTO)t_wSp*)}u%ToxwAp
zLf(P#3?R6-piFE+It8#7%#s;WKGz^vQBhT$gDGZk{!aS%@j0MFFmR(w7fP(xWRq+H
zJkhAXnXzhMrYJ`MkEojTxa&tR9z$H})q0To!P9?%Hv#s%ii!%**XhH(Y+?@sWERA#
zyj`%a!cR7av%6stf$=gUEzJNt-_y3uU;{(6+2F>s9nR{6BV3&m1HXu+RrfHni|+>u
zYjVTt_(aDuA;t8mrRUpw@0ohXoJtA4de{;3Z1uHSv+F9S2XzprYGF8!h+^X0-iz!?
z+y5ekw5j?be`b?cpT64=wcz-m%3ixqW5!jKIrr9AxVWhm1Hw%C^cK7dq-nwa8!V9(
z-YnSrgeb!l;aY4&<9X#v%f$4KqLZe+cTnGpVv_o=cVfPMEP>%^TB;rL)n+lnx6`tB
z;Ib5X{b5g;5y}{EKEE`F$vR)r^cm?stCMGole`nFJ6EYPPT@^2v&)hgdg#}pSSqx_
za$O4R=i5&Yp4yU@ebr4nE$q$viQYjcadsR++V$+>^$dzC)dw>3dR6^28A0Y*>$W&J
zVI=4g($F-%8D{i0VLv+<0f!k_DBXIYGy|m(oK#^mJC&5eDV`sSGKVg0d_nzJspHtL
z*K2thwV!HUfChws=KZ9Sr#B$sHs6AQbl>6Vg@7#(FBh@~zgbC@&FsdW8#ErHP->w<
z*MR;Jd9b*wCwQj68I4`1fuyBsX4aqGkoJrnqnArbBq}7ub5*1PCtsal&h49UE=A1D
z1@h^|P<3Yzm2zbGiubHZgKTuM;t%{P4^8D9rfwZWr&x;SgUfD)kn5V;G+}M~UEE6^
z!%GZIsgx<BQJQuM4oo2)X|KuVJvg7ZXG`F%%=J8ZmXMscyQBPv&ws`lT`Si^9DIRj
zZY_2=GK_z$336#$%Bkp&GEH0m2B2#i4LPF@b8C3ZJvm=#A0^EHOjedSP(2^|Nr-Sf
zGVp@2V1;jGnT_28HT+hS@5`|2E*rKpBpY<um1+8_mWX>#_4s&4=o;<Fl;z#!ZU~7e
z#X<=UuEflBJki|!mI6|Q1wG#_j-zFaCz3r`zN^<FhJrRgC+=2SWR3Q9<s^vcLnrvk
zVT{QQZx^)LonKwMCNdwIb-e_icOmRjV9&IPECZ$j2vYW^U)&n!KxAr(yu)8Lu8|Zt
zu+C~k7A217({e|xg0nJkawVSUy{_KDL!aRLgoZd8l^1sh&oFv~aHK`KLy3ZWUUcb_
zHJ=l{SmW)o`*9;?o$5~k={F<V_${XeNVO^lvA<aI$S({2zB~Jor%3jZoPs?4K(W;C
zJ_{zJILps>!7)L>h2jqfyjsd-erM6O2?jGfI5jPOBUnc^6HCE;S6XBuei4cOX^Q6D
zp9OB^;5bS(p2s|xWLVoL7q6%W9iMXV1~R<X;>VzU_1c)Lct|qGdGFzfNc(zf?M%Sq
zK>};~rQ%+8j8OZuZJrIj*u$b$KMYbdRElg9lx6L{+TK#>c$6h9_oVheDeChNYRo*l
z^D=LnQ4*C(T>kTIe77Jh{7T_DGCTICRE`re;ZPUnd$ZiO&TMpYwEM`8hvs)|*$tKd
z`0$+vQgQHV1;ihQXx^HmG?E!YnY#n?PrpEX2qb>FLpx_!k~AQPSwP&+xX=V?>i&<h
zC1GBw8|k;AHd_D@gHExMVJZcj;h@KG2hk0HQvJQXXUlXq>o3slF&9@pXHm9tOxt9U
zQmVJr8r0yVWet94@QM=o_$0U}UfYR3E7>UYgo`0ZM3GIG+`(Ce+qE=5_5|;(0RM=Z
zJ_=b^<pcvo(cY5y$dGr##~Nb07KeFXd%x@9uuft5Cc2(*`%}HsspTi7QL{YbG7@o<
zr)3MAhepb&KFX<_G*)lW2gn`vl&Z=~TGLlX(w=4sjE3KI>f9m{eV4D$lmAa%LdP!m
z)R6o`NI~VUAu)!BdX$iE&m!kem1!r>6~XvcvBuo1`013IV~0(LikS=1aoYXqmql`Y
z3X{BVp-b7c;&C?Qzt39nFTdaQ|6}VdfT{|+e_^^CDQTp;yOmTBK`8-AK|oSUx}+PV
z5kv(PDJki01r(&=P|__3Qr|l7`@i>ocjh|GsLVJX&e{9fYyC1l&FMwawCtJVQ4#x~
zX#G!R1fU&A#03-z&1TMieiy)%!9p$7GYQ@T@H-kn0yi+PQREz+n`8ZT2O!)AgYkdq
z)F9Ai=L(6tt@MGZ0~`?BFq|g}#4cQdHXg!7J~=;!IS!y3_{XzNx?6UrdpIrs!eHX~
z-rsLjW!(<~F%$bxSjVw=)eL^MAiFrgj89{Qgb@9hnw`^iL2m2W6HBvnYhToH(gi-d
zSfPYobo}<rR?F{U;Sz_V8~U65*rfCG+LS+~Uwtf1uhXHU+2ud!H=raJdvp3@*2cn4
zwlRj-NJ@C4BwnSk{(hU*E#ecEy1bEooONk(m5M(7s89BbJkNFKj~=`yTn#q09Erga
zh;i>O-gm%hrZ?#6i7w=M|13nES~kGK1(#V1^!oq@16frwVRjDQ4H#ZCg**Xtf_R7L
z07muDI)m?#0T4-mooTF)Fd~4@-XMg7cl!LbU=LXHkz)AN)EkoQUwvU+EjalF3!<_R
zS2N|lwh({{NORK`^lXWj0zoS=_kz4s+6B>;uk?OUKZyXqtPj~v_VZ0ryi=`#*U+`(
zADBQR!j2#X{1o9!C=c`wB<3K&@`_Cuw*VP|xP{ff;QBuX;0g5aPe5R<`zaoj<)D-o
z?kQ_NF&1nU=>bp$I%y$9y5;iZapv8hVI=x2L#sarjbz0FRnPo2d>g6f>ln$tr(hGT
zr#RzKY`!=|qpo0i-<7B`+D)yU9o*F_BTY#1=^xqG-Anb_iY~=OksDTeX^XV?>1pCa
z<4&NBP`*ay<T$8T(NCJdaY{MkJN>PIN!CUpMpng0D$FP6C=2+qGKj)EXibN2w7K@(
z-?!Wl`ay_QN6&`)S$^!a!r`}pY-@>YDg+CZ8P{-ga1_BQ99!uC{uTH%tYRrBD1=%)
z_5syFx(4<V0Mdub>#=nAmIsAP1AH)Xa(WoLdF5ABxWHHh_`b*K(zY7DcTqi{a>&aM
zmeb$Ae*-4y32GR?@L=<wgulTf72xMT(3lgAPYq_XWzg0m4NQ<CGz&lg$Qa?|fBN+4
zKjBGaPTJaS7IyIG%gJ2=2z}r!izGVWwsHdB&*bDJ>_AR12Ll^@Ir!x25V8_dr?(&g
zVHiF+fTv_UHebN#CI%!00F?lmg973S$Pf0!yupk0wlHq32)+-&hrP(>Iuw+EoE$8q
zL8p5^-p3qwT~SbaRgLh(q}_eJ;KgD~)@$`ruqlNlN3=-ftEk6eAHI2u1yk@n9A`J)
zyIF<Z*ck0maSbat8izrigjI`W7Cr>q2X&}#h;$1V@4Q%jj!tAp^)tk+AmZnuuYI56
z@B5Mo$&<moGE<dH7N4TdZXL=WPT}QblrtaUpdkod_ZLE+D|l2eefjr^*zaj!F)kN*
z+n{B~U7V2tz8kJizb9}VeRPBth4%IVQHPy-tY{wDj|#jmtdG$#F)^{RvlSNTR@-n{
z1H6WmXuzHh9YQB?Tg`$Ke#N4HE*MaLSuU;(NVo7@NzS>0?~R=a#uQ|C`MmEQ2xJ#u
zVu6Rux#>U^?yhdM79_je;6V$E2~48!Njon;N|66o+_ZHLk)v?6&j6wf>Lvhd5cG^b
zD@jN+k7{4uHW{b_sF#FaM-CuFI0B3(-S`RyDfn-iL23aeE+nwc3(+<UHdU(*>dK<{
za$I>@lRb0of*E=p*?;2J?zWFpF-pBQW&B@S0HYSdXI;iRIzp*hX<>{b2sZPGE}G-h
zg{z=KRE<n6$h?a@S8B14T`B3_5qf1bG&wZVUrgwS<$W;6T*#62hvg|-e)zlFGI@6d
zhcd4G?^16{oy+dtu2NX8=js0KAe_f&>>HVNF8G_i*a21jFGeHQ`UO3)zK{ql?&yQY
z9ZK)Ul|(+fy8)a_-*c-jl?W5COG|GU!%u_k;?XZNL1sRIiB=Z45rCpjyk)_x4UJ&^
zNCzNtL*KX`IMCl;@~|X%WjFE3HvH&}5HuBPuu2W%lDf6^3Y<C6#v});ARsZwcN_4y
z253eBNG2230{E29Q4<8=@`msUxZjYCssLP;>3^OE83*iyBk-OMNI;qW)9z>r<cA6t
z!E121aR>;MgEt25w1A~34j>B);N#hEl!YiTE-o$@zGk3b42e4cDi8YzBsYQ?4idz2
z0qkez_ykq!a3_n~45a=~p^J}?b-1Hew~E*tzoMBpG=O4e3t4-ypf78@u^?CZ+!gfC
z?N7vl%k}H|ZqJB72H{{jtm?OhM|JtaZBzr_>=4FI$xb&{ay#$~<l-)<YTg{CO$wy`
zqP{wG)gw-8HfnnsGwvN_%De8V@#%)q?Ut_42Ui3>?JU)I3X@t$DNEk9Ws2P`@w<+Q
zI1`l}`O6Yn4Ngq(qcylJDs$bsfNRhf&M0`pM0$|kJ%xiVaySeis>L=I$#TS20{8FJ
zJP$HBrC$v}jZeT;6<aA{`@QsWowjN`mwFhUROip1;P`nH0K~{*hCTT<0NU`5BRjSr
z*535_PrH!8h3vVbL3s)8V%#7!=b>OXCz5+aM(cAEXY86wsMf#v%*In#;zXlT@F-O&
zKGDwN;ip`5FYYJ{JLXl_qrD5uryna3s`T#SWiZvKeM7)T(o2Ow@JeDc^MMH31^)^w
znt0LeQ)yYLcfInNqIuh%SG?z3#At_ayEel`2eaD-Ml$~}uce@wBOYyDd3-oUXij-_
z;=0zN#odl{w?<joYf|l`b}*7?pGTMfGjbb-JGkY_9u)R~z7!bTKLb4F&@J&6HY6B6
zkia`M+66*m#Wf5d&^H8U%1iJ+o&VYR0>&i(f%o8;P2-_bm;q!MM)l*3vno$pBm(OS
zGa;;C)qlBXm2mN!oXb{`#5AM`?MP>-k~2&)pgXhpHc^Z+2u9Hdy8OL;$>DajkBS=A
z5@F0!+tX=esh|G6=n<uPaGhzjRhJn`5N^z;i__t*c2tdH^(?TFjiFxFoxOZY`Mkh|
zPZbaShB&d)g=DsWo}f&w&?BYis%H5@G|Zw(%T9I4nwqj)x3tv+b}b;)J*W28-G2v&
zY#v624y(6~%45pvW?YPg1zZC9ei&Vh_YQ7w7qZg`CAZ(9Ueip>P?QY}w$;`$DdBrg
zVg(|q%ut1s<YqOq3iEb2>incu;3yTh?jz}$1k(K)?oH@8`nh!sx0MI5;PPj3U_yl!
zq$TK50z3f<k`w$l<>ci2&kk4DhTpUTrk;|LQs+3O`)fD05{wGh-z02~MvGsOQJ&sS
z=l2J-2}nk30*aCA(9U#PX>QqQ7z?){qH_PWsQ!#ou|%+6pImwL*~9VDm0^)*T_}+_
zKB8Sl5>Fqvb|!8Ri?&XpF^<>|?4cq2+2RD*Ngg8(IJ@Y%I^J}LRkQQ$8!jJMkg_*X
zs~hz>zbg1Lg)dY<(Vx_?;z~!amWA>%V3M#q?<M&fHYZ-8@|W&NdXm)e;jRMZ?Az5M
zs}D3eKB-PF`1@AQp_M18;o|!NPJ#^3-PX4gy?Il&`sijF=8qlA17iL^)RiZm{5%Yl
z+%CbE{^5nQgq$hz>z-%AZmg>~tdylS{eIj&X5^2P8Kw`NX4r*~4luS8DNDKoMa6X6
z^|Eol*|0semDCgbJf8GKj*-aRHR!tntLsBfj40Rl+WH<W6VbQ099^+$2hr{;*FN#P
z-`$SJj`KjKmG5EOT_S^0*&hAqcXp!u`C&m5cB0(3UaxxdJ)v&~d&JyRAB{PNk+{I+
zQTO++yL37l!@^UJD%i#)4PRFvIO2A6N}a6SHhKhmvc`%#CB(k|MQ>4Ppqtt_w>l})
ztEfHNCVf90G;x?M)DwSp9VAX5`;W9Vt}r_I$W-meJFy25_nHJm9ls^k#lEk=|Ehyy
zGB~?(y*xqm%oO|TRkqm9J-!9T4Y9!BnhKIV;T=1^-NZYeZqoC;US&ERlxBKkPo$vy
z6G1j2w<=H}lJ%Q&G;VeSG1WGVF5BbM7Dw>pL-EY$>z=1Bs*?1(hJBd{j1RpJEmTn&
zVuWfBI6a)|e-w6E5hT7rt6XbZ)C&5o)pllSC45aVvVW=L=CN@i(j)%Qxm_`kwy&4E
zAqMkht2Fxri4(io<9|%3b*vf@imcbRN>@xPTlWG*2co)TbQy8lDla#AJxzoDD#w#8
z*e`vd+h-<~JKMjhd9}_N!bgACvJn%R4F<t<7w}l8wgQ+Nq$(8^B<ZC+T|GVj4qZAK
zkpZu@j!3eOh)z<Gy&9h*)ujMF7@G$#93^--zpoL?zu`vdT<~R=$HQ-z%BhaydECoz
zlPg}Z*J+qZyz7;cdTO{Y?j7ZmTvaxEwa^(c8|KWv{7e*6mNaiKW<NCV5uX_hpKN}k
zn9aAHm{}A4S$_ZEQfRwt7f~Cg(O8^X6Rc{5$${YqJBBS3?t*=W94!D)9T+v$H8g?=
zJS}1=_ix7i*p@l+Z7J&eD-lZ@#57<fS##PX87jBIN{m`;_3v9{xkoT_qm$<R{T7A3
zN}`2pn;kTC|HO4e);>lKLp!ODlI^<ksP4CmgAAXBKK0~3PQ~S}A4$GOsLP*u9v9&~
zQBI%9?_hIKhL>^y03LM4Am0*RgalC8OECh!S69K>0uQAc7)xWx_T^ph{t2q$d&j9h
zdsxwyVw`?spJ}2$%f((>$Xq=JFZQ(3m(LJ^dbUV}<1H+ckLSj6htJBgPt)0Qu*m%~
z|E{QpWrw!e{H@y<c&eYM2!Gn^`}`rq<JZPHeG~An1c)>cX9R%N)gP?wXGef^A_D;}
zEtilcW2Aj@t}*=?YB^?;YN0S#Z|{5;@Aq?N7Zo>RGrN*xx31k$f2nLaC?!dxt}oa_
zS&-!V?Uayp?v!5ThnVQt=kWa5jGIU7Our9G6Y=OBx*ttSEj}mpe#!h^rTfK`i9Q|F
zV++hC>$qohWc#p{LU{co4EYAID1(<6fYzd-A_)h5Sr?d;U<bKxVq$_xwJ#l&t4jXT
zaI~Rz%Q}W)ITbIK<F>BSli+lj+wD6VW9x6c3Y^0%5nAS!IyRP68o9sS#wBLjldDDw
z+*5_VDLs9Mo)E<O{qwDQL)<MUkH$1=w??#t#c$zXvnfmNIN|41>hfIR-Nn37S+H7M
z{*+Cb1EG*dxmED-!U&n^1_wT%zkUmWu;zo#8=}@|X7x*6)wVf^YJO?Coe&cd|L;m)
zY3mT{Xak$F!?-d<VbA<N!-#(u6=rMtBpNYooAJSYE5%RclaC)iR_UPrfi}E+^_h6E
zh-hA~uU?~J#HwTCkPWw>eoMy-$I{~8+i();{C-g)BLpm3NSig}FP%c1D~y^T>~(-}
zMo4tqYuMs1pJ;?B2GVZy7fsh|FwF`dWD$N%55%o?B1U*5=$6EcOJ;UyV=6vKAaTNS
zI-*{#V^rxoTKomCY3hrMrl5<p`aq&n9a`AZh+fO9ChEpl{yi-Ne+$lUna(f@ihkAS
zMN~?Jc@weaka#)bG=FCv8>@0TBU3&o+~G8?=IMj6^CjfRgN-v)NFQKo`23)p-~<p6
zhJ+$`?eeI@DG*c$q(5+5NNEtz>%c*}){O4H<wM?h7tK?0t=nI|`Ze$+8qe9dH<%Wo
zPoU_GGHnP+8s?u*WVR@D9j~D1ezHOYtw7{)go*Vzj~gMM8(DBQTe8!d_uYW>=+HEE
z-$|-;?^tEb`Cz=sN`CUqg}M>tzqLL5j&*GgE2C)e#@y6xd#qt;OIrC9tJm$l<}YlF
zEG>QiPJK0$7cv=pCpJw)4rfs)!uBZWmm055u^jqrM&%w|CcTy9&URF=+xsBUf`WfG
zrx8bJ{;3?ng!*`0c&RNwb<Xb02={<yHRaABA$huY7yloZClBv(7NaGz^^RZbOs<9&
zatTmyST~2{WBQT&_l3C9ds7HL;N*|2Syj)MGso&p>tT&^TT)`CL4VSE_wf~PEpa@(
z3YQNqLW(NGFp06`s5#ELEUkbev+KL2E{hPQ+<f;XqUum+v0Q0-?M!;#<#y)dy>vWh
z!a(;<ri@veK3m<XfA~Q%t?cd6F#)l2ckoY{-i8GY4-P&C_AsD@(AgLW1(^HnE+ucq
zv6!P0-$K_3Vi#_+T5}P^KayXerVy<yRCJM9sp+s1pe8{aI_ICY`$e$PQ2%X{p^A_7
zVkTB6I!`6r=TAsfwp7%gr@f;s6q)w!{4#$`&z8zB0FRuM?yx_HZH-=;P38sX+YT!_
z<z3v`<@JcWvr<cA6*spele)?P`T{Emh1JmV!Rcn3np*m;Co`}DacE`T07xEANZ*+c
zH#KoiA!B6&K#DJ0cAz8Ngi9Z>Bbuet#*g0=<>Gq4zZ=%r=tns+Gr1YCvZ3Y|h?pX@
zBTk(T`Ib=<MIk8$)NjGNk<HL<vZzVg4h+A*ftj9ehV#R+Ws6Y1iKJIf>-YBq+nr6k
zy>fdfbMV=4Sp51D49P@3M~i*OIR%a0aF*C7xR!ro_(A9+?5+NTe2Z`5AL63E$;(5=
zMbd80>eQ*4^7Kym`t40!=bBcSD=oAX+z9+MiUY+z`3&8oW2|6%J-fG!h#E+Ap<tvT
zxElH}_J>j+ns_c<fr+1pcwd^31CwblYjQ#O4tBVOMg_ZGevp*=4;cy83wp=k>hBxd
zLE3t*41zYJt?a98VK0Zu#wwE2x5I+oz@iV%6M)5nF)xtSobWX6>FxcyK57M+ZOir_
zh=Kw+C>2EMLIwi3Y^DMHfE1ALd2;7~h9TF>5BD-Hoo622W=2(LI^V~hx#}Nq6@J}R
z8!-Hm4<WXAXS8yzlxg@cc)GPBACYG*U?fHn_6FR|!yG1!-H_=0i(OL8mU0#)heMrw
z`&|OM52d`8+-p>qagvAk@w{{7@K-X^{HD3@m`*#rb$!w0Y*}yRi}EE6U3&B7PDjPK
ze<;IVpwdb9<o5)H8-ka%6Gtf697jg>ev{*O_2=c^%QxLbopx<wru&G#04o{L0t!$@
zD~}oo%PQ=_080Ql(}0vOLV7Ytj9vmu1E>yAr|d#P2hh~*3@QeQ3K*nz0R9ZRRzOQc
zxo=VsUxr>j%K0sL^3~a>%6rOWJpK87{z;Xqprx=Q!G`4f8P2htoW!<OLhSsRvtHD7
zl=oTMP8kxWi*Q6T+uQdJdZ(5iu+wqK#Gl43(uOjR^Gf-xyf2Zd6*yZ=s#m;OO(HSw
zsqySI;a&f(Wh!k&<Ey5q7rXI2cLzBF(r3f5*IZ>EmdWL!^4k-W_e)(!?~yW$bP*&`
zs6=zz>wNrZTC9=z*Ul0#(VvQLpK21}edD1R8s4r}&4CuNLqhy7cGp0ZKw{1@v_bz}
z0MrulC&oWNP8Sjfyc1HSg?gY=?Gx;<5W&)0rxg$o0Dv+)Oe?0h<&ELN#T?tTYT`B+
z)MH;E8yeewwJ$4qldhI^?)M^<9YKx0S=<r+YA%tvPCe13%e+YCDRJrMnYR@kI<Y~t
z+XUazMDh(?{O((_KS;U~ZiPxpvqn&@oF+K4GSKZ6vFn`{G)>Njq}j3snxDy6<KM|n
z;j0!_CfmAwK-kdmM{8N(DxkvBs7kWH>h7=NAp2g=TO9YM+GbH1*hH?4wh!M&_~B_4
zFDLGa`Sd5dP6+jhL|!Cg&>v*SJZNv>^XcXLUidX<`WxQID9^`bseWw_1*ZoU&K3)1
zf<ZHD2Dw1+u!&%UE%trw!OLbqI3RfSeWR8h4qVMQ-<PyrcD`K*AatVb>pJ%P?Wvk3
z*SnNy(pTQSPcd!8)Qj38WUVO$I^cJyR(3A>ZqiNO1*E(2Zm~)s4w7Q>OqpBrf@*p@
zqzT$>6i>v^<1GTJ1)G8d@p>ljToX(CoX583?7y%U^dXo=!7A}g<45n3P%nM1nJV&!
z5nEwKgC_Yo>rM28H;Yfq?R7ZkyYHAv^DM>XXraszl{3d%Gdm}yO=vciPnPk_C+B!o
zEKw{Gq0XDU$n@MeF}DelSk$qi(kCibj=SyCWuO^=$|@i@#441q6u^iSf&(qEeSQux
z7}Ow)1cV4~5fO-qUFZN^_Et$z9+Jw0KmG5yVGL0tfwNAHoHRo+!p;2XnDR&S7If#!
z=QS&WnlSSO7FAzA=Lj6_r?X<;ywJ!~`L-}EsAwdhS;=K+hGlqAd1F{J(X3{-4~1OS
zSk?xCUi4R>SZ#%$@{@o|bESV*`LqaE-Z0q$KE=?6rSczIhb0xgYt8;djN|Mb&ZhD=
z-Nf-}=pA}gQ>UIh&k+aRZ6IyQ7WxHH#eId#vGlH8h|=-ishP0<RXPRA2>60Z^K79L
z@WMm*=l_{A;1Cf1q%O2iq0%M*O{2)v<+fYM933F}XF-Mo<u?%al$4Qy%pL~}IEi*|
zy5<vd+OC8n69Tis^^MC$Q^O70V)PoP(z4<SaMtveQi|B;x?%S9toe24sm%N|jZ0bB
zut~Vu%;bkPD^`kK?YEA<xgY<S$r@p;br>W2a2Jo~X6VpoiqdLpZ#v$xIF8q-+{FT3
zZrGa97_*fKX61PkiU#e%BsC-aCeyR=&SdlMwwb)HGF~{Y9@f}D>Y2=TZt(&590uZv
z+@p`No&_9{(a}IojPR5<C1+=!Lm~|_Curp<yhA6KLI6ilJuWISWaW5BHdK|VzVnpy
zG#4f2K=4m!`<7XQ=InV@8AkHdc7MZ*ip0_d{$FR_yxQ7A)UTzl6&cI5mQ=4#UnFKR
z$nMbKeG?-^hk$*Z{?`_IiZr*hEjd)(wnJu^ei?Y$FfCIVi<U)aKmWt*R9ivY9eT{l
zEo^ewGP%m_=o{~KDvv;<hurMmtEr!o%(0ln9sQyteLN}e!S?lTlxU90<=vU)uFO9X
zgP!+2DDKr;cdAF+WRP9lIxKw?MWrRH^lXBPDY8M%@B#JVek+KX*_A`UA_^c#4b(V6
zbRAO*w<JY3S|G%lJ(*I>gVJl{I1G4HY$XzlhWfSGN>E3Dz8oaTH83rM6z%ul2IwdN
z6bpdwIsh{nWW5uI%kxJkJN^;L@iRzop3gk6;SU;XSVDWoYH921W8fFb(YyFJ<Y$r@
z3fqq-=W1A%?d%MZ7bYxwrmpxJUpR8Y9Rux*HamJgkFKVw46wWR5QcV<v(t@r`*S)A
zRLzADVux|{VO>R&*)Ttg^HMVp`$b!niXNgHhwJO;CBx#($cs@farTw?@DU3=3BtII
z_JNTAitq<wELKl3T6u&-OI^onbo+Zc4|w<Cifvt`WT}l4I$2Y=o+_F@Ki*o?+lxh7
zO6S0Df#h2N+=l><A3%=i`tpHjA5c%LSVE|G|Kt_tK4#j0VzQn&5^fgz&YQ?vu|+W}
z4R6Or>|T?R_<%k8Z5lI_9_5OHB$aOS$bAtHmqb)H;kM2vS4pUOL=j3T_d*0yW$$6)
zH&IvG^p{a;vd`O!6ZUo=4^=1;e=zO47op!~8>~ipq2_2n4@f0LZI<ATC&ym5jL5&=
z(Y;-m^4`PEr&&Wwwvux2Rc2eb0Lqzc;!*Npy5srn!9iso^zt<8H@ge2GmDJOYOO1^
zkNx{?aVeD@m>c3SxewIMn51&?CeYr9jpt$4JLr^#F(gigxw|9p;{^B>9ewz+85x8H
zQQI)v+;iGE@P;hQfP*EK_T>E!Z*fkmka6GP<wYMp0I{_62&v4nedGW8_~qJA=Fzl6
zdD`@7o$HGie?S*+;_&$cnsUQPcBC7J*P<5(aU|d5+@)K`NW+iB*Dl7U=R#zN!fyi(
zYrSijQehIykOpM&!}^DJrzY1BYW$4j3;NC5w~Nw5((BJ7MLcAT$ubiV=CSlEydvz=
zLCwthT_`>zhCB=uNzYNvg4Hrn0*cJT#%x|~QWUtLsvNY%mzPlPzwN3^s6JGp?Hbng
zUo;6dq#RI~^z8o7An2|pPaHphLcU+6(_<huH|d18>(?@+jTe_Zucf8>WL}`7m1f
z5i_?N$!?*F0=tIhP`#3=?qZQfOWQ|Bvcz7q<Y)F@C##?7fpHhOV!(aJfTDn#rvMa1
zwQtx6ibv1_0H6fD44G9aOi`c)jfsovc0j79!H4|@ny|nnm@R0b4AB#%)4*zg=$^)k
zSav^1!04^&GKt!?fw>{#GF5_5=IiU(ps^mwS9Fi*&uTzY%Rcax#`6IyqI=`tz4`-M
zysqn%SAh<T66IXSpB$|dsB&uFAy^|0<1z#D1!Ut3CoO#|S*FqR8WOWC7CmJ2m*-k{
zm(D}!)Z4$U9uWzzgi}}GF@Xo?6)D5Bn{OTH&(xlx`fB`0rxm}ohQA_YtiJjV!)4+#
zr6)b^o<vL<anrW-T4MJmLM!&}4vS>@1rL+<Kehl%R0@KZ@s#2s!GqdzmiO+Q#&jo}
zzMTszYWR0$a=0(DF<JgRVU9{Yfa5GrVzJj6ja;MxuynucPKoG>{>eK)$>R$&RRCcP
zO#2?B?_Prg+RXoW95@pgJ%_R-h<ooqOz|qj!8`nThnrz+(XViIK-_zi+K*e4Ko-e*
z!JX>`kTLL?(3tWOn4Sx9h;{>`k5w!m7<Pcw3|lQ!jmr|Y!L!;1x)h{-*=gbqqLwa{
zFK5VW(GS`E`=?OPYV!9r^!(cJTs~w++fuTUw<Qh)=Pa*XPF0|)$xeT<EYW+8!|*y$
z+Q^NXP@?$9!JY;4M%mETqXTjWwDiuaN1=YpT`K1*qz<gEa-=hA7n-=@UOE=a??RSm
z^{Ae1OgS<ea{YTgtc>(^AUjZ`q^ABZfW2D?4q9+~iHRK}#c7Z0c0s<~YB%~8K&5|l
zzun#3kOMeeDR9fZeuCU93PX$$$oP9~M!yj%uB6ONjgKJyfrASa;W~zf8JU^5Xz~gQ
z*D$<T$6g*J1cJBqlf(00b~$$~IRdR+pGumAVZ+nwD}KoebA}&5bTk$ANoNPyF3L5(
zm)kA*KSbz0FJkeI)@{><8#@#Kwovq0dc2IZ60rO!9aS)NnV^MV{fmTlY}uBMX5;ze
zR}SII0y_7KZLe84Y7zJ-N_gTOfs_^RUYw<sN;c4syp>yzEGjE)Li<M*$6><g{U#2i
z1jw*?P$}8O64FV!jJ~zJUj}Fu3{?)0M*|NbJEOZD8KC~d$HxcC#C@fYv}f}AJn)*B
zY~o<7%=8>S(+jXzBb^M$5;b@?Vk=?$y@U|B*h;YQK(s)^FUL5n#QUV!h6fECNun7k
ztH1hVot9D$sUsP&%Ao=+r%6DrmCY=KFzrHFxR-kL&97Lj<X;5jW~ql#zKhAOznsKs
zg8gvbN|IJ483~U3!7DGmJL&dSZy7Hn86iH&5J#7Pl~NI#<JZqWscVut&$90mtoiJe
zSC9s^<#JcHGd{kev+9ocb)3zI4~eJFx%xpwq$A?HZo>wO3*<bU>(dngH9=IKNKc>j
zA|!tU$A7*3Wf(LW%lPiU)5C-)M#HaQK*^JGXSXU<OJIOX1*({R2+4=syl|lt7(M^Z
zZU9FQa=ZpOq2YSDf)Bg;hj|=3(`0y_SCeS)WDC8ZW8PnC4*Egnk<?gUs>TuQ>b98M
zf4fzE?Is_yRgI+Q8R4vta@Vr%KeE+aQ9Qi8iRY6`^Lo<l{Up`giLC09$h1u%<=@b%
z5G^{AGUYG*H&9UCpd?^&7ZV*tohGw6a3(Hj9Fi`136UNv{tAw;Bk~%ck-qsGJ?qUy
zQ?}wo*R&beH~KDtXOaaS*uDH?ev>)w1%KHpvmyEw?%l(qBRxGmh)P6u9#NTjGxPA^
zo2<hl`7cOTpb6tCAgV2M2g&Q}F15M_lBf!R5B&M_qQ?*}AxI%KhCYb{A%GDf-<*g+
z7I_nZNd+pN-hmktJY2y3!kPOu?U%i%a3rRmBKGm2WhHwKHMzx+K1oqM`5U4z37)|Z
zn-O%OhnXG~b+YeNd6JxZD=SlRHF)P$F4cX>`EF1><>>7GoLcq85Zi1jxa8k-P+eQf
z85f;@UqN~sX{cjpl%iA2aGGw04(|%Term$M;V-x$>-6Mr_szTyo$Nf{k5`~ww_9+=
z6isTx@fP4cmS#pQFE7JA4=)_pzJl0UxRv+eK{^ggHjr2FHP`Gb!GBW%vbNx3g&h5B
zFduZ@1z{`Xb6Yv%k2B|RaCrYJf1+U7h0|jgcT)^JiljQtB0VfDEFhKs2g$?7eMz@~
zLo<T11m^)O@PEZi7!-09#?qNLuCozyo`?&`Z4|ryFD<}>k(e)aDd*8%?dsp@GuE*y
z<LDbXJBbb1QfspqhZh$%ng~DLr8jC>DczZTKchuAf>E1M<!T|qZd=T|_%l!cUrXXI
zZ63bV)?*jFeU*L?8FpzBsa&kkj>kU44D|C$92WU5+&6HY7hNc5-gU3xpp%CrG&@WG
z<>&g3Z0<}JsD8Mv-${c~d-d~pT)rm@3@PoReW_$eyU)6yCp@I-*RTKKT9Ey>Z9iWe
z4U1O|+pmZ_R*uq=K8j~$%g*m*y770&u6wM8E~_gQ6Bvz@$ECnQsmKq|`(F^YQ2lok
z04<A94`fUftegXD;1{?LhYWaxi5cZVVL<FFo43Bcj?|)pJuX=Wayt=_Mm#V){04kG
zpr@p<g2*FqVl}43joU>t5B7Z}_|+h|#CrRePl8U9fWnKXHV<D?K?Eqi($M1rrnW-7
zjN(_7l2)Zjtu48u#PyPy3o>;Y<v%voX{`7zUU`|^y{B6*on>l-nG(bIv9nm7+HQ>K
z)*h$zgCx3+0pj-OLK)fhoIc~M{L%cXwU&Y&XPz_--LKckR9UanG5Bff+B4XE4lw)m
zQiR*=LR~f^wx1iuJSuh#9!tS0au*$Bnr*S*ux7O487J&2<M+F#WK<No@ruhweCBmO
z)wk1R+sG5bQNP66M(>PM*5oUl6$#2KcCQDEf3;)%@Vhm9I)eVMtpPS9B2V|!{I~TZ
zNF4-h6Ud4j8mqmgqxj(%vpjf&L#9i6ATmrXmSC~YsIU?jO#NDl>^ay}!Y(+yi3Pt=
zq;4r1d-R#2GzuRD??lqY#H7?Eb<Dh0bUKzBf7EFcXdt{wd?qWI-aS_q(KSF$`*w9*
z9WxR#^`9;vXfa*)hCW1m%a!li{FFb>*P^gug<xAK4?18+@w<2wgF#BZ8GMjTs*B3Q
z6dfqBqwIF_b5xUN;1#dN(kx-sT)5e-`zoaS;LJi=90#czVdCJ>&N2K&3R}H9EX9X|
z$SMqgJpNt9M@E8}Ne7}GN<|+PCb23gFq-LBsb}DuqYiI*{wO2*+2+j`>EouV=x9aN
zco5V69OX;4WH?2XcOstx#@eSY5iwOP%}4lp7Icmi^>GFQ+<ydLjXkZky|066$L!ax
zs49E|CDwGkTZ%O6-}7VkR6i8*G9Kb6!`Cr$_td30%<SG{Ve6fK)n%0LWNe{os;iAE
zBg*K>f%d>?6H{|t4L|#{H^$_QF8u--0qp*gq=0k>TwY%kos!Z^IGI4B6X2}=U)RMl
zqFE5Wf7X+rdvqTMsWt(bzFHYb_8`Xj{7H`?m`8zew|Sp?Gfo!B@#pu`if;NbJadZ-
z3jCtv+ZoCD$#wq|_Vb`Md;%|<kCJ|NHU$Q?7W#>FCz%yl%3f(Wl_#MTH}?JpTOkI0
zrB%;j5na)!UnmZ<qr_TI`)aK^z8Gv9S)HTEMc%rq@YCQS;<i@$X{Vk;vJbAZ9LOLB
z1iH!08BX(CEG*Ew@DWosL0M?uH~x~E;#rCPLjMuRjy=JBU}^l(%!<l?J`}CMY;0W6
z=8qSYAPsafh<{1$vv*1w81+&6%7sSuY1a4dN0yad2@8YRE0^s;s`;om-i~u2Cj=?a
znuWtwC6gz1-sy8Zs`h5VYWRd{jFa#r%G}Y3icX8q$l6JvfuyC_x6L<V?On7IHmgUK
z`*3KzRm7b6&@^r4P%*7_YSNKFdkUA<g}9=RiT0(P!4KiMkVJ`zlbIrp7u+`sJbEE<
zSOK)X@SZ-08Y3{^MG#XF_rO7YUDtZaCm<joEbIm_GO)ZW=@@mZ{Dond0pPQREchtS
zZwGKgA>qZc!ZYaZ(1aS@{{F83FM<2WtVEa1H=!IL6+BAs?F0V3_3u{i%d&SOzl@}0
z*7XT$R}D$Nk)pF@3RO3r#p2|m(msxM?EM-X8MPgxf2cl_7CKGe#g7}$uAh3x@jdHA
z@*cbQKn5o{+lgfx(TyepOsNS({HWPguG{VoK3{Nq1bW{B*Wsh&Ccnxj8UMPKh91o0
zKm0Y`O<%;oGaMR4Dg6)|sc?hf-91QQX7K+r3Uwl_C({lR3x4jv=|Kp#F_@)wbQ0gZ
z351PE_pUW}OgOowAp$7V4N$nfWueu54sLyT^pF2@)r1Q)HzlQ$nid3H`g=De{>R=%
z=*fda5F=DpfA^6HT5Q$Ym~mr;@GbK`Zu<<D+L9mmmz|{^>J>^xw{rR!JFfd~tQUy2
zc@VAfFL<tUF%Zz~p>eC4TVAZhd#kPnM(H7rjJar^VxGM)@nhY`sm2HXr>i8Y=3zvn
zZ+{e%HIJ>33B^T9Ec@?*hZ(!1<brg!bDFer^n#kK`ycCY?u6b_omD>UQ+h$dvxjMX
z5l7-xTEAt&-+D9u>iz!j<i;3*%&#`4k#TWa&{_kUVp#1&L`1-QGE99AgDK28{^BP9
zmO+#D29%2N)^vr}a)pzjwE$f#@^lEtlV@NBZd)*Rn#ZcBsUba_?N0Hk<o6H}bPw05
zMXhf%mRm^}1W=K8&!6g7Dtc^mC0gkSKNj1IQv5J*D`qDN8gUeh>=~TX-J8(kjUSfc
zd?!2pR9}M{E0`V^uG*`sGInr^8}yh7D!PnBay^Rh7}2ar9X05_wP??yNe<$ucC|Hz
zx*zGpKlNLA;zv$Q5n$PGn2>+#+W*#Gq0AdKo`l5u@Rg*rZ^h0sOYx5u6ux(Tt8r6|
zI7O;Qq4f?~oyI+YQwql?XAMp3JLLjUiew=lu5i#I(~*FU0z`6<nih-<{0hacG&82_
zTGsE#C)_x4H~atXEI|=mt)?G|zABx(k4wOd5S3f3*Bryj?2Bve$IC~`>S$9Q`pJ{w
zc1i;2?a9>aY39n&4?Y^2V8jSfrcZbOjaYHPuCsX3v(=(7)@tLa^&wHJzdynxr+N1E
zrk4`X<#w}b=kCw8J8-G~A-Q|7=)&X(Z@R&MqqvCp{{Xga0~au?_jq`CkUy=-_Z8fn
z+s|W{I4yz=Qb0id9hTCo?3|nnfJH?jcSh|T+bxT~P972@t}b*NKFg@@%ehF>h#^sz
z$<bh7m5vRraNsnzlZ6`9@9l4ss>jhSTO}2FRm{bMrAP+W-QJt<{KIo_Obm|*YfQwQ
zIpA-~rBfi@UuoO=iS~7b_7U#LE|WmP5ZSt)zA7{N6(zz4yTvJ`=~=j+z&%NUHdl2q
zr;a}c?V**O35gjJxW^w6-#tqI9gt?}Sb#qGv=uau#vr<a23m-(pd%+gT8v<vhc1eX
zWb+zvPCI<ROi1V^hZ7j|)*qj=UV)zcFL)oD;S6hcO8wALpiCxHxjJ>nSf;W)XZA<5
zkvyWMNu7!CoplvY;%!XMK(Qy5SvQOgt5c*fMYWerhHCwKxcVnCe&8zxu=L!y$!*6c
zSulC*@-aW9-|c0P3}MP%gbr0)7T#U;djlBw0dHSt9vauJ#@yW3K2Tt(eT)!0v_l0Z
zDGm>f!M0#cYwPfkfikONc+mH1M%RZZhVJxH=cAfa3sG@-#be1x$KG_ubo^#K?mipG
zBq8ge+NPlNu?y>6Mj&$SSr{KW`}SZo9-1FPR;Bd*A%@U0I3^_D2)nA|v>LVXX(8O+
z9x_=jX&&D*`Z|IpANjxk>&}?_<kC|oP^sROUU$@q)30gBYcxhb?2ockit3pe5}M}z
z{ecO?x{Q~!t9?UsD6X9O1LZb@8)$}oA!h7LTFRe9^W70#WT(HBBKj8O4|m)xJa4yz
zuk2y+rk3B~oMKS3bw2y5ayI-x@>^@YtiNi*a`?zZXB71*Bu!nfDRg5czz$<$ZCz^C
z+yEdfeC3Kh(={=fg$bn#8`aI-9oZZU-v-S$5xw*fr0g*>`#q(r2B}u+?~#Q(eo6n1
zzje5sHGGk)l{;m7yPf#nWV}s_9IszEVu=x1N&a|w{}tz_MChaA2}_&87<ZIk8vW>f
zp~kLB!qJu@K=(~xOoI?JQ90&Lc#-z<&5!;rj%rmVK89w#ipq0nd+;MEw}CO*1p@v+
z#}6nX&}JZ0&ye=8hZhUvt_;M9KX&@cw*TM)Z0t|rJ0R3+o!El7#z4@=K(dXEb7*L!
zwq+4~+_qz_c$bvkCjtAw@eV1ucouE<AAV$T9Ba?YYui6zc@;p4AKn^io%HoXfJ2Xb
zDoVn8itCt|;N=@OO1&qQF%&aZ7m8grMd-34*rA^%f8bDH6fqid%I7C>-#3)Jxz}O9
zGWOOK<vLlIdy?4%wE%7S-T9ORYq#zs&!!GXj%aJzf;`1PW&$TAh%tqd%n5jg!H|N~
z!a_e#Y$b5K;Li4fU|6K$J(Wuj8ryv#5Do;skmUoh_u$x1=uH9RG9<%*QVa4Jt*x!!
z0gVV<gW!tXr>}*DAB4gLn`u+A{}H<sX5lwm$9pyM?(Z5N7Oh;aoTFP)XHMYt^4%Vg
zHjJc@6v*kzS)q2@MbWXaHpiTC@8-(hrDiAXTMHg4LNQDgx+v+6N~)j@Jjo6951d?W
zE^)-b-un{0HmZ(F+)PLnE~4M@`QfJ2Sbb0x@mK2OK&?IumSn@&Ae=#h8zUS&tmRs*
z-P(o-q_P=w<j4+!+ph?GpwSVYTGz0UdVo6s$j`g4d7u3%rLp3bkdP1(N)i$W#TCGr
zu%g4#1QvSWkpQDQg0~4^9T<TU;^L0!e=Q$WJ1<;i+UEIOxF)6B*cJRop<+FET=e85
z>PJ&!&}6uo{FsTKBAJ)${-Ob4>H51~Uvg1<iKf&`OI(?y4pgPr5=tUy;m^V%zAP#`
zFDj>Yd+Jr-wOmryr}-i@OYVyEu3d>nl*Wd6vJ3LJ2X4wG&&UWGr)}R?<FI5UZ1R~g
z=v?5_y$m!}eSBKpUC+r&@bJe@flaCY6BJN^c~9}tWrla;y3t(7rg}BBTiSNa`b*B;
zST<H}=im_+7w6-94ke*bIsAQS2(o}=TfYI@T~$@pWVQ$1VSpXi9#ca)z?ZuJI~{<=
z3e3#t*hFA@w2>_F`hfhgRSQQ!+6lkmvcSXU8ekoOD^CCW$V4EkBtV^h*9ZZRNGWK#
z03r=yq=q1e1Iz*-K}hOd29>)mFwT%xO=ATNEC7ft0*L`&LI+L<zyl??)GEq{wX6T5
zSvsbFX(Ib#?5|e^Sx1t%CmA^n;*q)+w(IG;f{aoszOvYFjT_*Hlf?JDfl*{)LyjM=
z<H@)^tpjSA1xD*HpG|ILvc$_W&Dsf`C@)D9)XE&pPp^DVuQPxARhNQ6fjpA1$xr$v
zyXzBCZIZXdhLLYumP6Sex)jHn0QiE;90gBzk^{sjfCRT0Lf{}*r#pt~+;4-%%B=h^
zvK}2;10iKOFFV^8LN8u6&qK$LS;Gr19v+^dF$nVoeNj%sT`ENaS$tgrS+36(V=;qo
z_RSZiM+M$9J=ZnD_M+)~Bf(qfjr*NAaJWnD%+!27m>~1EaDKgeUrDfq#Gh4Sb!ib=
zvtQaoUr!w>2Ro-usJ(?wc_YFe8-Fb(dxR^DLHjn?&G>-Pd$-4BQM)l|Qbo4l*4$Ne
z;S6|ebL23{%-U!pRAh*pBye&Ep|_U)M0>8_N_HmvAQ4~hnVpX_KEDC#!(S*mW~vDc
zroTQy@(YB+NCA`&T@@FE60_jz@mV;8Lj+*16R7BG1lSJbfmT*lF!QGU-)?7UWM2G%
zDVg92YR**Ea8^%C_l78H@A07iNX|fO;qS+meZJO?Yxv(SMmZVKlYG8+X>8vk_?UD4
zjgt6Je~qVD&sW!ksD=f7rmcQV-W$DE@8e(M5dO~a|Msf9cyh1jPVWHK&aykr!2R;R
zzo9D`3^<?Hl=3R>-KBh6zkg8az%bA?oHJOj$M#S*YA+FU9s}fNz>QG}y!z4ilLe`7
z&@3zs!mfy;ujb#N7HHL}lJnGJ*{?Zh+sjH@v}9ty?{H=?TFR!=iB`*G=59#sun|BJ
zn(Ri;lNKg^TVJF9Lo8*78K3jjs-D`b9+b4=X}8V7kg^dR7h7@Wu?3S0>X^cD(RLN2
zunMV@6dl0xhEnshu%pB0iT7Ove9UeYwzTFyRBR@Uv|;}Gx^CXeF+Dy1Apaq?`yloE
z7Ksnm){-SD-B={Tc<A4i8A$dz7MOmJDgO$t+ag_h<Hv&)s7f*Xh38F3lMtR)6|spb
zQCrEznd;IEc7Q1NJ%VsfeT<^KFF4G~oJrBDSRNRDnBe6>>P5--1t-HTc*ON@hr81;
z5Cpv^Ee{VjZ?2nEZtG%2dqTocmsm=9H*4>-WAt4}w=vqyr;WMoQg!aM3Ak;yoeUI;
zrJ@uEjNNn`mQKD}1>SO)PWLj|wWE<b{MCuxbALwY1_Rw&N^dgx2$q!H=Z9EPHq@C5
zN{26&q<G!y_oXMVsAcR!^p8^3Z(gh}&tO};SfOewv*j`*r&$T*zLwp842u{r31=`^
zLn+P<I8T7t4w3L)1-lmvvI`3kUPcXw0EAt^(E(HVWQiWf<TjFM0f^88xN$I6&dex#
zjQmH_M}Z;xDt*8^1Jknt1bT>b^a!6&6!!2>rk|HQ8ZWr|NXecBuLTBaVZ2KU7+Z=o
zN!Pk}n&jRaDrAWIiQVbVMR9Jczy6(gsfQK*Mn17SSyPKVcM>VR4?Ee2WqX$XHlQup
z#S`#wQdll??pm|r9$&GpB`aUPy%%N@wKfI<R##V7BoAbjAa?=|r{x+DXu`J`5+eR%
zYlJx+(uw}Z));UyWeZ8UwFF3~BNURK!ioim@JHn3gG=-g*PDsJZ32}E*L#ajWL1Gz
zTUUh$?cs<)R(_j7tW|1ldlbcDKkkET3%B*XLmm`#Jzj*59xZ-J{J0(3(%}mYyJk)9
zA+~T55cz@>$`9bvVcDa5FJDR{)pe|_tjPK$WLXOEf3W$2_Rp|H_dS@mAhQW<FJ-_&
zLD1++=sIn=`sdJN2r)g7mfj4F5XgC`3A2g+R?(;(n&Nbw)(sB{3$loNqxy8)tE3Zd
zw+7pS0&mqXh`g&|;+q=o<5<{#tya^^^bamQ!k>lFc=+CK$>MKF{2BV5Hp+Tn*1G;6
zv+?b1ND($J#El$eB%Il@GrV(Q^>Ld@%rKaEH?STVyNfjN%OCG9AFd8U?qMcWuUhd+
zOTUB!=$6(0zvV3~9GL$-7|(#DGO@FFK`JaqGf>}&sq%h_3)y^V=A}E{SU3|W6jpI1
zB{hb!<&XRLt%3jwZ&$(LRKT|c(rZyHhlh)I)VUM>Vfvz3b{{=4Ih5lq2_n}$EIIB<
zNc3}+d~9!5^4f<v3@3`%V8pf6R{4)vszF_f6*am2?B!Gs(qo0}Xj^E#X1v<RUI6TW
z9jL%mCqs)xp#BnIGeZXSw})UNgRPJw8DNnxSs@+3GWOJOP1iw`<k}lPANE|9K%4NM
zLdD2m>@(VDgKak!WH@E^s`?)gb3Rwn{S@Q-SU$jP+uWJTI?QKMUD!{6NrBA}!EAy3
zsrXrQNPN|O<BFzlkG8P2RBj*IelMUtMHbCXR#<@86B0|_Z+60#er}0?s}5<31t;h~
zWLC`?@aQ0zLf&7G0JZ5cg#0fMP5^cfWbwwpt;OK~NaQ(b(TNk=_sv}xqDsGU+j)?=
z8iPS=oAt>&DrMdoRvnt@r1<(|-k*64eX?5{8kvV3Yd6}^7@lfuSIKU9FDI(<*lVei
zlwyy6<^2Qf<}{>ez_aG#!;%n8KV{_(@R$R%_7dbdAWz%{(KWahFJP^k1EVge*r1=O
zt$>W2+=BplyWBMLy4*<jzoQ{8A(XV7`-e=TU`ER>fafR1yHvDuKh){u>*gE8xvs0S
zZUeWuXb{4?lA9?&0}O5{KVhM*$Z;Zm@ce`Ew!}(Wm_d~wy3yR=LgkWg!NaD?4^3e<
zfgS0rIreP!9kKADK#uOU^@~qNhE{+PT#!h?^Ea^x$C=t4$VP<1+oFjr*d;c>H(U9#
z9LEkH`7i)r(zRa3FhL`CNTBPyBa&us$s|kKhfP4=b!lbtU3HJ~Aa<tmEPZL@bx_`X
zf#es&o##!5#)p+b5z#jB#)#Y1L#XS4eb~<?Qn1v@_J$4H(b$@F7-t<bJ_d#O@DIm_
zle3$N7IS_t_AwjRZA>cCFCgU4F|J9Ud;MfQh{|Tr=>N!`v))=Y8Y$)N?ZJ#es7c#~
z5jUflm4w=7An{>=&Jf3#KD+RdOVOGY;`xL(Wtt1;=1Nf5s)~_PjjQ#fVow`-eJq`}
zD9XC;14{M*%|Y_{1?<Zz2W6tGv@zuJN%b;Ll{{!$2Kxw~8S_R@#alg}-#%N-<Qak+
z+0-u&#Z0>b5Qf!1F^e;c33sta8eGie9QiO$>})(C##4<cKdd6z_zBnkczXo?{ac5R
zlRee7xaf`>iGKZUr~moh)WG&!RLy%hJB*)uMQ<!2O!q(A?*B+O+n<9iFs{<ERfS&G
zxKahbOQf_$jymtb)!8I2<;;av=zX<@J5_`4z1mr@J%f7?I%sx*$yVY#PdDrI-KZKJ
z)!ymV{p(a)^J7z&!r;DXz#{7EVpbQUB2)OnmpX$`V~&Vg>e_+i!zt5Csz%wbAFdqM
z={(2R+}CV`4k*YBZb*zi<k<_~p?9d9$>qtn8#V1-{g}Axi}rhMO~QUGQb-?~2!RbW
zuCW*DVE}8aMhd%;f;S{$0<r;fGYu)}C`^$Miownr*0dM&Kcf`2caA@O)j()h_XlsB
zrSJvr?GtCV*<8`-l%x}OBK{55`zNiq*uFeQy;@8RWzXo8W#d_~-7T0BaythmlVT&8
z=`Ga90$m?ge1A3&j#uzIi$wVwE4z06i1T#y1}Ffhzt|?k^~!?96fB*)t=9qN6Ekp&
zLCOPC%HOk$jrkvu<O8L)ltiwjQ%<j#spaP-vTDYALQOcmp6b*KF}(+;yNWvg^C#mi
z3KdUKq-ao`h%8cg;*AC;-<4k1Qb49!{|(mxJ5UODT_g=!si|=YBTkZ>O(I+D0Jhg$
zeLVW*HFF$3+PndF0AxNwssTSY_rSnF7DOyVLV`Vb9>6i6aIr`nTM4es>mBF7!NEZ=
zIOj+>n}I~-jLqc&BywIbA;90hGy^RCpCODJ$NP-;4>O(sqJP?8Da7!d3g!~N3w1~3
zxQt(5V*kY~m-=^(zfXS%&zxNJEAif1tCGMd>9Kf?&7*OJwP;AO&Q?`dGaQbxPFFQE
z*Di(mK7{Tgf~!mHrjN3J&j>v#BRRQ9;MD~rQf}vZ&C`H;r@>>(xX$SksC~!)djaqj
z#6duD=l=svhO-V!4Vkzp0?%b+1lwHLh+;1cs#z$B4+>wcHHig!rysX^&!b}fomx*$
z5stoY`+nAWf!}@H*`_W-wu&aGOs4Z(%2i_eN`(03xTQ|c#y3Hw>dHowAH(Z(yq|yK
zWPV#<s!H#h|J7iM@<MxPb7|9`PdCa1OYP{BjDfTnCJn-k_F?@B6WJzSMM&XZ76I7D
zAyLdG7TFjrCG{2b4Y8G=s0NpPywC}lUO+(g&vE-d0C33<aJ?AWN9{@epIwo<*z3c8
zrWc%zpV}W^&WAI6A`+|~km;XsTBBmbR^9aeVsWL=XM*CV&Uf2@P+{0`zOzG>^KYJE
z8!gu3&)-Dx$i;iEb(~v2gqSO%a-Sz}_Tvz0Kpih+DbQGfW3{rfvLzgTXGrM%>jlZT
zC8norX60UhVZe(3w~1SQGk*c{6$qi1gq@B2-BtfJo#w6`EBPqTn~!qQ(%ZLDk|pb2
zVL1A7cixezk3FWU_)1N2km<5Q`sL<M$BFCLsH>IxpR*!Fs@K$AW*(5)q~yd@@|>z%
z#o@p1`O;h$>aEzn7kW;dfwzF|HDbi^d<8O~{C;QJdhX5VCMUbW6&MnN7N7x`<^K-+
z;$1LNq|X1(8xtgn#nAcbrEqs{lbwWxcSLAP5jkY~<^N1Vf1alhN_E?2MX@Wy$jqdR
z7T=Wmcqx2|xioEPhF!Gw^zXdQD8E8{wOk7dQ#juDD3swezci1a8}saLrw5rkyia*5
z-YXm^J)~CaD6tC5{#t5wFO^@fV7Jb+UEol}hF?J{vE?9A!4=mk*7dWPP|>sV@X0)(
z_7m)(9xG|=GwI2^2am!9$thZTYIWej3$}FvSny%of{OwKVvDfjo7ii>7!DFTm{&kR
zOKk;WA86iFsi1YD$nDYwOASTxq*jgs&J|XnkddmkaJMOm6+#1nHW6pEavpk-`<gK_
z@{4Cm$hYt(dK6f?N<#)~ocgNX?7V9$=<MIiozTdsx)pi`=3T3@P&A5(UDztOw2cnf
z1%;9<4!%5%S-{(sK2>_y9;lY%J<i{uiua0=+s`;x-Lfd@4u0uHGR^<e0w5P3b<{mK
zEN{nPs)>j%x*KzzT^<{KhsP+-OuB{k1$CK^qC<OSr1F{Lb}U1E3}4Qc=x}P!Vx3WP
z)9M>52`0H~e`^@HIrCsqhFm%9XVJZ>$If><XA^9e)wqn?uu1=WB(|d^5dO~h)lz@q
z*pKZ(CrO+qgEHW2{{xXg6&-k|+y3<h+bbcGk`;~5WvM|D!QOW)**?yW`XTfMg#vW1
z<t>#z)dX38Sv*<X(>1ZDT3}TDg*zdzpt&E@gDtKd5}{%z*K;$Dnj(30k{<yQRt736
z2n$?2--D+Fw*foepMTMvPntMw+8f{oJ=vYxI!0!yN`qtqiiD@8mJt8B6-40>j7@uY
zFz`BlE%3s{;P#hp={I!3Xa?ymxPiCny{oWfxD;k9qwTV-zmhZ-MX%A*<)&3^J*!k{
z`$ST&geKtlw_L=6874cO!m;Y44>tzn%?DU$Do9Rpja<vdq<{$p@3Oy}Tb1`0H{4U0
zW5>&%yb(G9Zs7>j%ebNIUW`b$UZJRjiPR9@VaOaFn&4yl+f)91({3owF7=g$I*FzF
z9Di)&lkBj7AmQI|i+jah0@;$n=hG)=7iLSme>`!;sa`bN|9-(!77MYf2jiLbo@bG2
zjncnPSUoq<op)PeC*t1YVTjy)t87?`TdH0%^0G~IGyhFaV%vX~9Rg5DfSLpfdqG$S
z5MRq9AgK(i?Esg`l<{%`(1+RzPChyBeRD8IXliOcefpvNch3E0-)1vT87hYVj&TFV
z2#tHit`xB+mVZTl6s9q{THe+{K`lqo_nWTiAB>=oFg=SRcz;M*EPk!bvJt``fJvv7
z)5FMNvQT(Pc?V}AfW)ft6F#CU&J?rADK1;mA{eP(jgNmC3z!<R?(jdJ*{2W_h|J*i
zJ9U8ucS!MpAWthxOL;K4fRkQUM&=x8IETazYGe-h{|aVhWn&{`G;>U;2PhPT|6A}R
zf?St@^hkMv|E|V1n6jL&!J9cNE8wm;blX!p#-<LXV)#hooaTpm1<fnbP#&>1!UsHz
z8Wqx%3oj!Z_4Uaj*xupGk#td?k|^J|wiBhGp)y&QW4I5ZM_6L~KDGeP2eJw$zzN}@
z08!v%G&E;muqlT<1DrWeW4{5W&%-mgb&RaBgZ&<OyHiOJIc|a#0ogg>J444?jo++V
z$c4=`883SoxkpU?!?@~I(}i)2di>2*>~yA%h+NJq^cXX%>YG^wzYF-Mh1$8NvESx~
zhd2>)_+w5SiqueUd1i)IRIHQ#ob=eSn2OjPa?0?QNPC%!E=`nLS93U5_E5n*WL(fj
z!2zBV0O=j$dMEUflajVme*#p}+M3mh7v_yM+EySVkSo%3H5W6p1whA;gwcr|6(0`~
zMC$N-K{6AfPWj3Nvf7x}lxvtl6WW0Xm<x=ZPV0k=y<twol&GfRi$z52!hNwXP$-+<
zO*HGarc+?ARiQ^ab9U(q>XEbPvoPHw(I)0FiAhRE|J?m`i=f{2R*v)?%+xepeHUBL
zTVuYw=I4XH!G|+E*_{H0MfxX3z)b7`=%{yJt_H4B$V8)ceivB!|9~flL1+ccEVBO^
zN^IZ<03o<b-44-zF)3_I+TUtan2i)zOdWffr^R~-9#)hE$K~nM1h?5M^|;04F1+_F
zx&$z25EEVHGu^7_rQ-$?^);sg?`B`@6z7xhZq=y>V0pc0bbpk(x<#-4+MsK{69`<?
zvp8^X#>Y84e-r82yXj!?6;Dz-@*hjo1J8h88Sj$^TiWl{Ji%mhL@P9l-Oub2(rK`Z
zX|8sdAR6d<KG#qKEG8%o;F{n5{|I~QuqxNCUz85%?vxNgP(T`#QbIxL4nYY~LXhs1
zPH7MU328(^x)BsmQfkr&2$PiNjJekL?){y!_dfd{uXU{==JVY57{7c`JM$VI|Kq*Y
zp6>4W-)pGKbcp*!<x%hK>;NX&0sn~30_yC1AW{N~W|<)~91N#k0Qr}hL?--eUD1m0
zU+w7X3$xa{ruHy2js{urCF%V>ZQZrlF}+Fz0ai(3G;XI$@69Ljm6D1pa+G~#6g^V7
zjQ#EMPdtZhl6%_tKN7oEnZ(g>mSM&WmnX^VrM5V{e9c4XQ1HkoOvU*YoAcxA1EiD8
zn1h;S;f_>S{=E+#w(jA)s#-|HSNxN~lNI@cyZUQf?3Gy2^LZ#tOnK7cf!4U?I4Uho
zNJPa^pxQf3RitN^?R#tfo4K5da+<j|?bCR~Zy`S~^Gu<q2{T(6L9AAUoKb%U&{eN8
zGTO$aJ=)#<`R=p)tW1i&pQ(IE7B7_v`qSIR##v1C<Nuxd%MwoMSi}1GsPd4Dv*8N=
ze*E%>byph#f?SWNgL8BXR;eGsHD1!<I!<P|dX=rAqFaPRf!8n*ef~WmIjdg}4Fzm6
zI~ZE!7}<&c#Ff`^O$<D#UY=L9(DYp)=JI~LgdSKZVOK8yA??%8iLfPJn}vk6X!(bv
z{qK}sGi~82kuU8IhEpJgbolYy9_s(Qpyjkk8#|l?ZQDmgFC1d{6mVJ~BG`y#&J3uP
zT03I0bH~4v+(wez{Pajl2V`g09-w~juKpPq^Dn&c3do(GEUA7-AkX~!M|W&)^y&Ql
z4+(y~*vBGzMVRU@d3^tDS^G4n<mVpWPORB@n;b3_$Cg#vF_DEn`<4H5t{j6L#syQY
zaVtuM4Iy17kpDEk5fu}|0xlX56X}k1H}5(<Ed|Zx5<n2ZO``Iu{s9%$sD_j`h3WHm
zB2RR4<}e0lNt&^lEk!2ERqXKFN3(;oM%H(eR$ChdvZ-QBX@@=!-rrmtIT^y)ap1<8
z9F=`T$0UcZ`-75YwvhGL4K;QpkMxKL8Z1UG`Y)P>X*c^NMQ^%HW<<OCPg%)HmG8BT
zE7Nrw2;OYQUwx^m<B4VFxx%Jv=eWfEOT7Kwv6u&&%EMQB?paJP0`WIb@{qWe*Qzrm
zUzvZEJ7SQ5V3LBh@p2Z6O;Cn?0Tl~MUJYPHx{Ow~jCXf5Q+ho4S+8d35H)Hv3XlF1
zBIsoK;<K5o0fMvZ)td(AD|J*#7qkf&S&1566_`tX9j8w?@t>I3kqA32H9Yw^{sI4C
z9Y%PXbB-%zzE*}5+po=v&aX`l++D_EIRw?o!A;ah03Xf1o_YayEL>&+HN}8*0>3*j
zIH<0y+&3@~85Q-^hoG@%5h{t?piBVDvqFJne2^-b4~o|cxZoB*qlmJs57$N2fw-Ax
zivMnHpnE|O(N6)RuBf*6#y`}yE|S9ihcB7ME$H<viId|z3CLsEJXz5ydpxIIDs*2B
zk>bSCjkL2W2?qHkQg5v$;SG;pS4c0#_{@8kx94$jMdJy5((m@omplJvW+m!^hX$gP
zdvwRWVev#oDkJAPapd59c?o?daFjNJ)*G@JeD)q9na+*w0;bLt<aqz<lR)vh*q!`w
zh%YAL+doJDj)880U^|qY^0g#)ElU(GU@#zfS{NdZr(qxA&$s_GzlkK0-KyPoZ%cDl
zBsOlI?N&%NP046fn6+(xct*<*WBee;16h&ZRIKC^Z>=;K{c?Zt^0f>tha|b0zWS0}
zON5>P<&qD0CUK5UuH;M=(C7HvxZe0(5YMPR`M;%pgEr-h#&cfn;t{9@>DB`Tmzas&
zSE+*(bwE8tQxb4RE_eTsNPo3Ua;>qC(M_i!ek^N5$r772rG<3$0zDM_ECB<T@hzJq
zD+MlZ+BF7hJ~`E3iDWy%alX3=PZX#<D1I_hH7dMz@5y!Zyy|KeW%zYsn&XJ?jNrL$
znNI|fP~{LcgtJm)%2OW*&(F(+NbZzVT_D3FRPf%W$eWC+9u^o=NUZnDZ3Lav1brof
zaGOzZ_Mr@S8uyNXFI0mO76u`JC*dwOu6=1-!~~B9h=OS?AcqVVzb0y2D%4LCMR(WD
zumn@!?PQ}ei@dE1h2v3hJ9WV6$zUNRqgzV^?kz`H4})+1-4RM_BrRAZ&+bwnymOZt
z=c=nCH$mE~%1ka+7s<&egf<%wIWn$*<(iMuA)dXonr~|m#g+JF^3C|aTO-j`Ojl)B
zB0_ZW>KYJ#116<6I@K?Wp82~1c6Ay&Se@tJP;%qNn+I{e`iRk&a;2Ot%znnitnpvM
zT#Q>q^c;EdxI5J}*w*ioC5i}xt`2@E&}61T6eCEULE(GT=0~2ciTg6p9}r2Rs-y(E
zIRofKA51pMO_;C&*2<2_O@pfAErOP1sI^S)?w5%S6O$L+g+^m}lpLx(UpD8$uCmJY
znmuPvXf$rWt#|k$BG7`W+jk+ZtUsD#;Z*Ndei%V-OTC1fLhfV6ss3Kbbc+I)6!=Xd
zE8(|KL?>to)nY)GfdCU8`{<Y$^#>260M!5=WalIDFTh!tHoC>#dJX>tC<3OZjk@(b
zJWgOSRL_*qhM@@lCa3`?rbgcV3%UUFg*GmSnM<wDN;I&$OZWT1i2o|lb{#vVcn)hS
zx`_|tAi>eCYwaxi_{4ZLx{)L<MmjOqwbE&L?;c;@d2QYmrx#h3z_Xyr_4l^X+6Eom
zUnDQWJlL(T(_bH0t|!dm6*b~8`W=egdNBn{HS@oBFThiNqx6I$4-B47ncVySo}nda
zScHchq1KkvK7wOW(jS-Ee8*v2R?Y6%VdD{@i_W)--x(z}ZW1QSUtN<ehh?1}slH_O
z;o5QR#7*qX3=Q(~Zuk5Y<=?*zVOrZUeiX|5EqwH$6$`ti!)BlSNdDy%<*&H8XCIoG
zzYkt;aJ^3k%*H!`*MEa=kt#X!A?C%<sS>+wIulrBGuX*i#TWNz1lJ!6n^U~zKJ_5=
zPbS{gOu6}aN)azVdn8CA{;QOh;M?a~cmD^42&l2FLG|5(`OYx!UzzECcw*^jxmIiD
zNCC5JDvW%qks2#vwrG);mV{EYRrK!~oUbmXCD}$w&2wPNIp-CAaMai=j9HDj`z;N*
z+H?EQ{BEVGbn9T?gvk~!!ttFsvR%Y`2V3uX`&=7SNnX3)j#_X+IIn$mW{MMeZJWZU
z7USE8Xku#C`OJ^jQ-$N=h#%#g@7_HH`uC4C$~<-f0rOA}1a*R_h$?{J{sM0RgQv|R
zj~ZM$V6%k0$i)9oq$xalpLh89|3O29HzfD#+|~-Wx6LLelyO~1%j&e_Ij5J5*UY!f
zKmvDWu+zN2gQL-!&}vVm_TXDBZogmSpO4<YelL48u5igZ+yOh+NarDX*_FPt2iI6C
zy{Cq+xlSGUQT6g_i!=w4*gv-Y-gW!PMging2^12a<-6bLrG{R4yrgJh&GX9hF&l5V
zWSvyHJp>oQQV@wM6M;Gq7Ze2o@suwi829i`)D)z)(t>AUnNqJ6Ak!i+=YV_x63<3a
z%+kagkh9v|47Ie=^TL>TJdOKVwZn|qG%Rn0X0<6{F#P_L_Ta3+h3N4B_Ta7df=4=2
zO6=4~t_2LOy{Z+q+r=l}bcm?VC@UJ5{6pTbSnQ6ayD@XD#?U$)`|GP7qc==s5bwpi
zX~duDsAiExa30ZrxysEkTJol^COjAI_J_w`nOd1PsgPh3Y5Mbd%E`$|Wz_$#n-m<M
zD5EnF_u#!c2C@`_mv7#=bBB|Y6BL~yB4f#6|5u<D5TG-NfP>RubEN1eIBeG_kTSry
zRQjQ$+H)6&wP3sj+YVfiHFnC8F50Ne5eR2eWF8O0l`ba3CQNF`)DSyu$kPF~*$_*L
zxvY&5>(Grxk}*ID8hqQ@lvlBxoN4(M-<&=^;g9j}jMr$s<-q9B8QY?{VC1Ot(wnq^
zHZe0lU^WE7#7HmC&d*LNcW`w-F(JL~=hW`2yPrqeN!8a1AFcm5e?l6M@7TT@Rju1<
z_4Mh(G+~?7?>|^9Va=nUs0Q#D3@Wj=-lnH-@M7QjAL5@=krc@BL6Nn9;zh!#2x=8n
zCL**Cp^y|XuK<}?3uS0vask{K#rMFu*H4c8-=MmX1bdsIeE8l!>a~0N=<4keRzD1x
z)A!N&4!T~%){geu4HiluquK8)VYI5O6#A_u<tcti=&#J=w|M$#{o>ls!)T%$$>4c!
zD^?;&&5185+b>GHZ=>JZiPf@H_l%;w;I%CGL#56`(W*Cw4`6W6&;#;!AZ$lKxCAvz
z;6(yY4xI%g7Y=;=3QHr1*dV9G7{CnB-)Q86CiF79=@m)&`-YQCu2=`vhx-r7y5vYH
zy&`Z(&x_0`6bx7l+=5Q7Q+ZRWsw!e<X@pZo=wK^6A8xjm#iPz+tyGbH96|jn`BA%e
zNn(J}GP{WeJCz(cao=`~g%0&*(rrm0&y~$rRWiPr85yaQLVyiiY`J_?0y!}}G62A!
z`0d2&e0*N8&O&FIJ`|0D3yfdCN`VKp*`j0OjBq1R;hFq;6=tBirXJ+wNaJik4`7{O
zlR6do{7AO!wtVkRmy*%PAyR6s>Dh@fKmXo3Ct4tU;4$MV%oSgs_!6DiT5JCn_5*gF
zCn*D|XPjz;?(sFPQ$PB~1nkIXcp{IDg{C>^_eJ#VwJ~(D;+=2x;*w<-#pI4qJykmJ
zBqJ*N<V1f+2D<QOxU2!r0#gWl_9&kdX#afO-Rm`q;gNSdXa=NUHOsTCu1*Y!??4j|
zsA;%;dR!dYr7TP^Y&9nEr$uFoM)8LaIP9y^@@whBHss%r_3vRdvgYB<=ht<-&*ZaX
z&Lcwj*)sVkURA1cZLBBp3_dOU{23Ydi2Lb>U9VHNZ|1G%cx`QepQ!)QjBJX?)t9MO
zlaD$?_cS2we{sc{LEbJ29}mN~Afw4yxs$FE|Lg8rT)XI6`rO$w_?<%+@5R5>%38X*
zERwHFfY(0~1utIH+WQDlf)#)K2&&nI=KU;)d0eGwIqCv^FfbV3498LN5hyAfCS?c;
z`UuB-ak0c|#w(0WZR;>U8mt_2KSicQsn3<CNQ|3&#Omu_K87*UnzoEm-IYJl8wDz_
zjIQ2wbFy38VXmwfIEgnN3*=y6+j>s^>d5-i+K*ebNu*X0g8?&W2Wp3AJlJ??;w8C$
z3z0ikXC6eUr&jWh#8xKOt8f4tlqKcv1V-5;4fuV(1dSgm_V+9hntyU2eHgYifR&Ps
zoRszTQ~O>{)ja<TbPB5L1m#UNA*+Lb8%QJ_9i7*(6s@kTlz~MR#2GNvpc1&h_V+`y
zr>V#9e3<s9*Le)&pCGW?Y>dMEd)CNjs=qeObhy7i#dD)>z|8C;AQa3^zd<&eLNT95
zF0(~Bw?Upl^!?m~CNG#juagE#R>`C!IgVn0jG&Pfj~Suh+^{NTQ=(%~`BYn7N-DLS
z8Cgks_vDaaE4H?4=aR?;dqy8S>6gN*f+L@#RzHHjp2o4%?ROpJFB^izuW>{>jy>VQ
z3t$yiQ)nd!K%i@NYp6({p5|Dc)7<af7<1$M)%H2k7(doyK7JzAA|>}C65{}!cvW7m
zt~?@0Y<?L(kd@#mqZOHVt>YX9OOON$JI61!K$>RR09L#J1m%L90G`@n8i6$0@Ndb2
z2cws&^i%$inzp>nQl3Ob{^2lQQ*SxcI>Y>JlO6BWt6!q4sG_0&d@Y<LdinaOcmMo@
z9Slxq@{MtS7HO%|_@r2uy~o%5{Tav-^5Q7TV&s%1*6K-|TcTTd0|ZKqEC)kpzDn0@
z$(fp%T)^$x3`?pCO1}OuTc+vVyLYml;1~vUPSN`km3|JHP9%(C6>xgF&D1R^!W$z-
zB!Kw#G1m~+wjfYXTcwn~wlnWm9kG<@#SE@Y`--<^9{0l{zZ{*&X4<-U8mhSq`t(Qb
zN~VHr%1P-r6yiAv)Rqfrra2zRRJ)-2_At3-fXEkKS`>u=WDVd>I-pF>SEbpLhB)1M
zIF-t_Te`Zs;F}rf?+<L>?u)>4lXXb5=0jSlxTAe)c&`BB_KkpQv}^8F(b6WTO76S~
ztaw(k^r?ztC-?X>S%pP5uN;B61A><pf#HP;%^iC%+(RgD4q#Z>kg^Py&UB^4eE@m2
zb&a+4^a>LVpfnM#qqnK4$4%Sb_P`c{7*)51`bdxOZBo*0^Y$PTnIkhOS3+rdV8}w;
zg>{>U6~T#PLW)Ha<7#Jt%j$C2>?$(mJ$YGtg!_Z=<;7EZwudJb9aPs;Sj4UpG;L!N
z$eA5sU<DZ8t(B)H%)scVu$17Enol!gmQefsx~{+2v3&5?m6?FDFx|b(hQ-fHeJ+KT
z;zjU<-+{05-E5M^I5d?A_#Ug~kAUIZSW~ka=)!!hM(1fLGyzPm1&&AX#5=SH;h)UH
z>jjD8zW|Fs<;k)@A?2@{A`xQL0n&!)5Xs%rsp9tF5AG59pk#J|#?L+FMfW4ZLo_<;
zyWR5%M?<=OyUlil$gCgp+FYX95(($UJ6LS@35^C19X5)x=M8bLq7jPK)ndI-6y2t+
z`byC=)Fv6G8~l9XPVZFb7y+J#v9SH8Fne_8>-i%h%a0IfFDD9Bo4>L!ay(Vvb?Tzh
zwFAF4Z2oZhH2waNo~VI}JS4bsg})Igmp=j{RJCQ_<j)a^R${Pke9SWnkBhWtuenS;
z8I6am1O0gXL>tDLB$H>?ouk5`?^aO@Gw2xY<Nm8`8?BftaicO^mR0Pm3hHi6(MH;D
zxQ?i!F({sFw)}MNb@QfhUu(bDU3)F=<BbV+44M;&R)$;eF3$mgRDeT#0pZ&Opbv0#
zg@=d3pP!-5B!2|_)-8LP+ZoGpPzd9FcI22p0`e_X$&jk*{9V*5EtiYNFyK;g5*+;M
z#}Luivt#8>pOTH&GB~rijd5ch*ZHh;hmJ$Ur|dTJ&Qe3H47pg|DsX;lA3VsfVfn74
z#xvR2p7U~;A|Da$cTXlDe@QuR*-T^ifo2MPX?Q0cmU`oMI9>xE1=HngN5@KybqE*-
zo!Bfq<nXlmwqes~X=xe3APtwNG!z<O(-_@^eNv%T8vWmoov$=|%lEaE)Mu%{+Nqy4
z-L{+4#AByaHDjLnBd+5Ew`~GryiUCcrDCkQ#5z*ZZM1}^sV@gY3u?DsZA|*iVyS$O
z-G7M8s>FTQY^AYD_qlB{m2Oh5gWl|nk<#?RHQi|RZ#IQNeI0SyR0xM9<;+TD_dmF*
zwIm|w$t<su4XOm%tY|fqaDS=pP`$3H)@SqA@1aP#%-;6-9)07pgD>SWo2ljJ@0^nY
zYE>{wWk5}>5nK=doK{eXo(G4L3hH%0fQesAMO#-F0yLYzygzr;E&4${J1aYT4kSy!
z+gLrNJI0uX%?LyZAPoKjtPFfm<E4f)>%W7->xKvdeu{0#k$iwc&MUiB6r2e2Zo=QW
zi5h>N@6E<JZn~}dU8w%JkM@2;`qhdesZN^FaUs^+M7Z{f1>*QJgl58?NrsP;aGwg@
ziRiJdwW4xoF^}^7MIoIujD7WjD_!n7l{RZcf~Ho<Qdiq5P41P+q5__Q)K>x7hX;r%
zj0NB+$6%n4X8-5Lqd*RBdx&44vn$;S;aN84KKO%+*qHj=b08(G94mp$^PU}|4%a-0
zwYiKZvtoK=tc3YY`rN--cgh>_y8|O@|MpPZ2607}b(5)LOT)a(6V@n;bBVlx;HYOx
zpK4O%+UE!^6saAX{5r23q3q(Q6GU5E8@RWXfz(%k2y$248or8QLYe_nZ+UvBWAq6_
zR`ZPubgr7bPa-7gq4fvh8~4{v=h=uZ(CXP+)!TLsxc442yiDIDH^#$%yh!G!`)%Q<
zSC5%P@>A@uFk@XMbi(^`8yGT@l9EC~)v(>&zI_`+EgPu5$UJ2VmeYE8<w1&PqN({4
z8~~6m>I%IaFC~rdqVAiAPoHv1<;jv)V59TeD&gTqwf)pd8Q;nfynTT#wUm@xENUM(
z|9K^S?eT)lQo{4D&}j~THC$P)v9UilvLu&2&T)QGLJaczzhK2YHAV^_`fG}4(`<>o
zA&3@_!lnJI_R@{}0)5=OLZirJ>uR8TDWiNlDH8U|Z{NO2LwFzR6acm5Y}25L)4>vC
zjo*)Ew3%ye(y)bq1=LjE>{UPWy1@^1E78;NA;sDm3CBI8#g|p1I=Dh+cUNu*_XO+u
z#7=(JycLCB`Cj7vUspVJK5@<t3==(?fW3K2Gs<@U{dc?$?}=!-ahatnOz8x+#75hK
zkPhqjB4(pI<|tWo{KK}L+%TG<pbAz@V05!vj=$NX8qYwN2VwRPR8`YqBcakYx&`+d
zTz0xTIuKs_EmN`<To;vke7w9HR(DP(L0W`E!t4dt?zMbdTU+qSHu#)-kRbzD6{4PF
zFbj70n@V`)#u7*$jdqA;na0QRVtC{=)mLVoabDW)=Sa9I5=lxSzu!Bm>d!O1nI07S
zy!l-1n_xnsb(wkmERQ#3m$~eX@-3E2G!+wZYTp`mCb|D;0kTv?Y3|9@ZI<1T<+9;k
zRW8Gx3u*T46QwT?qM-fKsmr{x^E#wI*qGsP#`F1^{C%zRVU>`Un^<SQ=i|PRRbdBa
z8dUfSc<3QfJ}o)97DOJrWp(e1i;JtOcAuM`8UUfJrWUPX3s(u$V$e!^IP+1fs;iqq
z(lO*YEPSEAY1RrEgK(#`18(wqZK&-(&lqT)m@%I)pOrg&WR+xk;Op*P=Czz5M2TDp
z74o`mP|j@E+?*A^r$mF0_Uza@?c(1@R>TTv`LI*vjR&v$YzI_khPvkT(3<G6RKM6G
zUMV5)=+tAupV=-{oBtJ1?h-$98x7}*phw&tp1oRpqkR3_r{1@#O)3by;ip1<oV@we
ze0mOV@x38u0np;&q9SqFdLdg=5)^5Ad}F|ffDY@^C*dP~K5Ea+${wgXiI2x$SA>D|
zCxX_^A!gs){d2T=`!Uv5?42v!kNPHdt%L@6Up6b-Qbf6T-gjW-IdtoNzol%BE7Tbr
z{Z+j!C)g~B9owt(@P%RKwAY>aRFI0%<Ths|8U3k^CWvt$^(uU%UdqgIL+VYl-BRxO
z&c`Ur20E$B;nkaNF84%7V}n-Z$`fJ1*MQ$U{1~Xw9Zugidr({ngL7$NVF60^U<Lsh
zrY+#g@Du`NezXHRH#lq7Axh@L`wA=SoLQMK6ZL9%RsMIoJ!nuo^kdT9XObFG3FdnP
zS=!S6JB`@0_Zgc>G%aKG)v5+#y-16HejpeZdTdg(f^(}<I1AhK9zS;c#7-S@1kZ8F
z1W#E7-W0$@d@nD+gj5eXn&7@f^$n~pFKfe<sI8p@Hmj6di=Y`TE-PccX?7PJ()t+9
zB_*g%WmxE+ySN-ILVyEs`)?ByCtef~pf1b;N7>dz+Q&0A1Ok{FUm5#th6X@Jw9x9!
zk$p88-%D?|RI<M>=m9Ast`|S+d61kzQ(U?^wk)X>etD!3{2#%%{Rg$E!mk8w?Th0<
zU-02%Wo2DJFPib|$)}*9<`oba1Or%K9~f99Ra;qPypG^|kbwjN*kNH6z8DZ1bl#et
z{BO@~7M9(jWg(TdPsRWp()=a~74I!%PW&b>M$Tu`zZ^?KCk;9t5A7E5(N8cFyGuxD
zm>W2l&<WEs^Q?L-r1{#%x|GW}UPlFS7~lHDkHCI~+Hii>aUl+9oi_a%7EZ{l&c~&w
zyfBg)NeCKqtSx=E>+$Q|$(w!!hrOvw;P5oKz2`zfDwWGmcQP8f^uU4Yx{QXWm|`sT
ziBb$Xspy7I{5TuE&AJb62Z!!+I)zs5*k^BE`my4b1zLR+8`ouQ3@52scJp<!+m$%~
zrMW}Gd(F`MeQQov#k8N*vyg3LQhXNnI8u(|RMwHu1GRQ;D;13yV)Z$j#fN5L1nRY4
zVn=Rj<t$&|t>gx~xZZFASNYRNO6yg3gd17nBWQ-FJ^o6juudrQAp;P?W%`JmM~t+&
z4oPl9e=M6N+`gO^hOTy458m(XFbH&d5MF26&Gp3U&R)mPGok{<```L|IVD$Y4iSg*
zSWd8+Mfu|G#>T&31%~NOW=!-Sx!_U`m(Ci+SaN23;cx@-PphRd2rLHoznF5yF|WRQ
z*w0}6AGa*p|MzmW=IM>Up1=erF+v#lS}D3<<?E>|%yM%%XOd%mq&H$BIvBzoBD1`h
zw}b3x)k$eiSSh@%I2&B-zKOe$F+1KA7gxQ?)PEq5Q}k8$xpFCk<%hMAyqolhTS1C_
zCl2Oa_et&MM>IYl#Lk`s{ofWZ2>Es0oVW$uBzbuXa0TPxcVMH(yx9CQcTs#xFBS8h
zx)OurgT%Ih{71{;%uZx&I=|gmlsEmX!$nS8i}cepqsZtPmYnbjuhxCN*Z=W!BVDzC
zN&}xRijIC>;~DAy-#W&d4|2T*xZ~iogI5^baWHN#0MZ8J;3{y!(0EeTuwLBW-f(ju
zBO{|43u=WIfq5g3=mMAgc!4@g#5Xlca!did0NgyD)87WKB)$t>p5>K4!^xv#Gz#t+
zZJ6T~ATvqcV1C$!zV~B?C^&KKD9VHz-}b<-ew@)xlG<3JiO;kZAL~=wkZoz?!!{X_
zBEu>h;cE8jVAf&GyC$MOvY}`8Dkmj4Qam#q!HvIeKHA(FP&Z#}->oI_)IfV*?qzXa
zuau8_qj7kmM|+o0icFCScXm;x-OCO;IoMkOB_Kkz8+que7(>-$%h|HPVm8dTsR;?W
ziS!^|g{AE#oc<6T_yv;k!0f70R8=MTY!F;Gbr4il3ydzbR>C-3V!WZlN$>mbG%xsu
z3B+N`#O2hagGViob~6dnxs#-5&*lS3ytGO?!ao|8J|=FNO(Uke94+`IN_V__)ila%
znc>x6xXvxC%kN#3Mvg}05S-KrjWN}kwx2R<u(^G(9xK56{NX#<ROWYwm!gI%FiDN1
zVaq;yCNsu_<}}HRxN5fc2=nUT&+`rHJVD#+hnt*Bm`%^v+%;TGaW)dhG6M-?7Tocg
zP1~mO7PrGoHisI`2Z(d)Q}8*I(j=H!bn$;IkJP%mm2%#a3SOgeUN<o$@)g>>yzR@z
zb;xrBg?4oSNTj8uL41)3RJE!U!JYpEmC4o}`FpB%`=RJer(HVaJ=;y(%tw*zV5OmW
z93g+tXbpuPy~@E=Qv7zmAOZc)$>)jOBqOd069@hUJ!kpM&0kW2N}d@t?`exqtmA`l
zrNT8`W~SBgap)On+Bsal5Y&_#xdj+mW5yg%ha{JC_-ilBw8VV2ma<B_#_o`F#|?=H
zz$W-VTy`o&r~*20>KIo(K|Pt!FY*JTf{sEO2)w0mF5saB$yk1VK6QHLwN4Dw(>g(8
zOta?|{dc=c;xdwHj2WBo;NV4jZaGs*gs&jq+vG_-XY`PJ_C~j9%4iD(##b2MTz^P;
zJw!sBKKGn%eR$LMzNz1@Sgb>nab`xGy$?7$krghoMtZ%7%2_#+T3p9<WyC|}_qZIa
zQL7JJGQ4l!gnI-PX$stbBzGm`j~_rI7_?O-Y5Z?cNw}~jAfE?j$7#@{6Y$r)11Bb2
z_HSg~tdRo7CKg2i-m}^6EqN(!Qt!9js?SG}bljlvY+FJk*f(JrIO(&+f2?VSu%pqg
zr;iFqa9#%+Mc*R*JAbvbX>0dIG{JnE%(IUb%9q~h2-S|(D6Fii=h5PF-gQW$SmF3v
zpC88+dfG}8oC7Kf;dB+wzcuo;z@`TK9V)vjUyF|#`U>>i-Q7VI3pN>j{Yi+rpYzx#
zg$?HskG8R~Hz3{7^tV-bT!0{hC4Li7aL||aefx$Yw~GxB|4dSKtcXgymigaP3oP#_
zGwS)cfA&v)<zT@wZcRvaS;Nw;IYOEV&rMJAB%61{OK&^27Te3dru|mR4dKA@_bI&1
zh%-i-J?*1>S#{-amPtFyEq0z<<G@3&{O?yQdWC9&t<m`L!F+(e%z^|mDi-U?QCLLB
zUhKH6x<E;uX)uleB3F4^AU70WwoxtskxIja$P}X|8Q!<*U}RaT6_`v;a_?PcW_f-$
zZ<S`+nhc4LI;O=?BmBNdBfYZytEwP|O<b!e1IP2Q>O;F(W*-Wt8UJZ4@_D&Jkxwc)
zzpt9&g=c)By{K(wq2227ZdY}h?QNsMr7Vi!czv_7gZE`0xwt;d85R=`zupV2Yv{OY
zKZ;CoH+9e~6st`6AH*)bSi;;Gkx08iUeie$Ydy=Q?9r2OuKk>#V~QI?#{b`O>0#>z
z`n+2kgHy{+h^v&vq44lVdMgLRTYLvw=;!l4S#@n9ybPWc$q1`TtVwr{6cxzk5)0Ez
z5Z9pLwD|D86N5sNmc@aM7ZG{gZ=PYT;wd5hy|HcQoK8PY1P$r*S8HZHCoiQRpO7-P
zSi6#r<^%h(o#I@G`fd>tH>A5g#w*i6B()}7H{cnLVKGg{TlqJ%(NI|#-)parI~&#X
z3s6aq`5&}n&OV@&SfGImn$>RG&z^y^Iy!Wco9UmOT<7oc?2h#5Vm8I{i)ik;2KFvy
z9khw^3S`L1YHW=vUC)ojPsj$pRW@lnWHKbTmEyU}lD5ld-&(B1?!Fe8<7Xe#`~@A`
zkkpt=VLxs4sZ!!6k!@8O)-T!2#H2gyN|yIWlz%)OvQCTQb~{-&ccVV)2ql3C{!#FM
zwLk~dyecoo1uz2uUcz%;w^`K>F>O1om?WDs8&BR_tLH^#u!?;%Rqem?&^b}8Zsmy?
zc?HICT7VQzf>;@TZ90^-@_4EA1rFeRq`Zh92rsxC*i)5vqp)tMRKBCkBoK%Qc+;ov
zwU5hdzIQh8z<uU6jgh7IC-io)p2G5w+kC(JB#<GT=L5kyZVl2;#FrLHKj+!RRtvRU
z$V9i}b~DJ-k10xi*cw`^yLqILfWsajogRp5GK*n<u80$ZdB`3#oYI25vQ5CU$YGQ6
zCK6UQa4$ZEYCxcGV7UfTQ;eH?l~41y+~?pUr|R3zCzUWIAN>AV&@2Fyu(absX9BnS
zhy46+AgrwF=hsw`)i?prTG89%?SGv={QDEw-Xomyi!2E5>U45sh~kPAetfQpfJ*s#
z+(}4kxZUp;(ot{avMyzpVhP3~u@)>|E2?RdFXuBxDRyDc|G_l;79vTENh9t}G8#O4
za--rsuhGqd`;7IZ*Q30I)n3Sz;vwW3Bj;nu<FS1Jd;>lTU~-irP)!-TFDC(OX$LNn
zlv@^n5mMK-f<H|_uL1$svJqSXfExf*pz3oBj}<KDrAGC;;k;$Q<P?{boc$VaJ_OS#
z36x{PnF`w!s$dgb-sIi-K~evp-Rqd!ABz)q23fO={SwC-lo`u;JCgI%Wq5{5@!SSq
zz#khw=lt5-8nP{0sqaxRhBX;3ib=+}<`h%7tGkoDcvabR`6HCYEq26OhSjhzy%EW$
zZ={GdUNOsEdf!2zn#)?c^8LIo_TBApbG)PW_IBtEge(fnXV0$Z1L}#&QH4+CT0Vd@
zG7u|J=VuQ^Q}ELRWDcUN2It?v)Mm$;qGBVBAR-3dB=bwiVZ46rnj8ER6e|v&GVpXw
zAc_V~xYCE+{3`!G%(?~Nx6_c?BC~%O@5i>EdPcHqRJRJqe&QW`uv>Gyt}E=dBlmYz
z_dpMEjBPJ(crCT3SL%)NPqvzRL)*XdTSJWAPSiK`KCMfA{gTqvGeVI@w81s@lL)7?
z$L@9*1*E!j3Gm$!5N)A36Cer<txQ)IZeSvAdPsI7Xt;zQr`dN#?!moMNpI0lZ>m+5
zUX#&T&=`*YJZWMzUJFDMC|4a$9y8wQAgBv#uEpgsu{d{FQE<pX^;3dc2q1~h(Jv@c
zkqg?yF6d;g<wHLv%%_POpvI2sdNPn~^=1!(Op=q54z^|tc@6?u&JfVo#((3+Im9Y5
zZ@mfj)B6YTbI9rO!wYpioOo+|aJdlca<`nkypZGdQaGA^ZP8Y`S@g--0NRpwvT}=`
zz=3#^mBKBO6dHE5JjUzqTykpjT9vWeLdoz?v<sKNYI2pPi8}}&{V<tEu}xnJ=C$i6
z-kUk#Nn55Ocl071U^A^Dvx*@JBVd|UVc0Z4Ksm!6ph%z(e+9Duav731S`JF>&tdMe
zo@qFMb@;sH^0dW@vr^LM3_Nl#ZESdspH2r~ppx8SeT8R0TYD5NNT?Ke5S5s~9t)Z8
zhoIj$fJcHO7u)1NHxnyG?|hL1qu_By{ihXOEW5TrBjw>PnwcFoqd-a)j7tBckY;(o
zzf~l69QGK$Kd_K;ec8V^$Ad6ZYdNI!!dD*g!c*Ke;TQ^@Ey9Wl;oo<A8pJW_X<U_{
za`kR!Z@wyZ$sAAP8SWA7+rDM;iR0F*Q(iUED{=RkQz0P~q!%P}P&@t%6{Jif-~%wH
z0EE5*9tNa$o-Bq5PYuKrWM7^EMz9QgKB}l3kiQEkfdUat(}xcq0I!8?t=_@GS~u!A
zwtwJJSc;5?&{GcL+o@Wg&bHCeuQmk=96#8VWnbzObXp=o9E6zqAiC98h*qc~+(pum
zjVrB+?fL`^TOuwwST%@;?8NUs6Hh{t?V0sgm8l<RIu%I+F?J%(Y;NoG=;b7JT=On>
zXm)uNVor}KiEtfCnpvN9dQr$+Pd`pYU;;_$rpIE{&U=;Hjr~90&+y{>w~gBJ_g{N=
zPAjwOvLaV;<KCTC@-B+K_K~|+h8L@kul&NS@SWR~+gC#i1iOWDH?Aa_7nhK94RgKK
zD=#dg*xJD{X_wbeJ5}VKIsLMwrN4^DbFVY$ha6|ULApnnpE~P5H(~}AQszhdhGg4a
zGpVs-*=RWof-6VY-VFp6VzWGxH&lCxff-hdxosEe%gS`Oq@ZU}F}Jh>n+%y1f!C-%
z8*FetBzEwbg-9p9#19s%`%3T2uKl;M0W;53TIs5WTcAF}YLk#~%3`Cdhm=%3yV;g*
z`SWM$FMbXM`>L0IPrsWm@*T};#&_<+5$^aeb+x2@0cmLx29H3gJv=>S&B%134Vo2?
zDV1j7jY-5nCe8j6(kt#(n;C-IbIS1z{F0I~3PTkfO;0&O^tma+S5<xpEi1pPPN|NG
zPoJPd!gIoWr<p%w>wiuS$BS^>!S1#Xt<W%jLKks$*E0@+e|{sceGZ>KEs?mO6E?w^
zKM)C1uPOo@|M+9}<FdsHc0Z!Ld8*K!SbU_vwNBerq`62o)$J^0!a~{UjcM0_AqvK8
zBd>bNUpfTjWEl&lE%(v73C=4D3uhImE8(eW^QgYlQAe012@bmbFT+6}%m1>lf1eM)
zW@ea@#X+o3`(@=Np3&VC{bdpL?R0cX<w-%gWNiMXlJixekO$TZ2Hu$}b4*0a9EUf(
z4qYAv$~aZymMB;=NuRL#&o6xb(CDCn=*1+6IGEQmYs`6m&-;$U6&j=99HK{r>}fUW
zShGAdw)b{xXYZHQB*u02DJo$!7Z+c@bH^8w4nVaN)Aa;m0bqHXg|!uU$$|%|8jl{K
zwE)INh7NmA1dQCb8lG|OHO1ktZoHODZB(k3n!}L^^q$FzduW*5yvUNGs?sDOni|Ct
zEyuOj@sT0qd+YFk+WS<!1Rl(*Sw6q%wdo?P1o;98i%INVLR`DJb+H1br~QuSz3WnG
zUj`WaAoQ=Qla@^YYteZpmU|&rhh2SfKuAC=%-Xn(nhpO50-1o-g`#Di{3n$tQ6-cw
zi@<sZN@{9KN-q#dgMB0HQUe8rL<e9uZe2uCvGOFjc!}ljr7kHmNYW9iOH3G+@4s|Q
z>J8Zm&aDhW<HS5=``Fn}Sd_!D{$pOoMmpSIH)lR6uA_2JhMadjJ;)=e9n(;9KF!ZH
zhD1DSRE+Qq{(k08rQmyR9@cRlj9EvT$R@do-qY`*72V-cq#-0}1i6m17|o!xfc9_@
zkb&4jr3j#5DA$228gk=#^2-``zk*9+e{)jk!UBcri(R3^B$4^kxJ*Zp_fFz>fZ9vB
zdnuR*%V_ym^OVkC8g?aQE2iTmm&(bb35ITzWhHexd(|m4ATeIE7&d>ftiaqHn$A#r
z&wFimC0?$7@)5>)_<XGA?9jLE*zpES9HI;KTiYBSig#bVP=2<8InGuU{Q2ce(iZ$-
z-J;ObzlpvReItQ48;|rtf4Kg5caC>a!H=re69cUXT%SfxeVjY?@EeDeQItkr)V?ec
zXzEkor{~~-Ir2rVWQc40bwhhqj1&s9hUK(Y(eux<bPwFP&<U=P3O%@|06PDNp<dv?
z9K5p`z{Xp@V3!%71)7#dic7P840{3^g@B|i^@eiE^iF;}<rBMxp`Yyc$V<QAyE`t0
zkA@nfU&77scYX9Za9@zL6eO_7zu$5?v+c8+kPZ3+bFj368wN<`e64B)(YvHr<7~!5
zvR(^_`R%HwOH$uXb$~a@$}q0k_NDUDUlo-Mo?ygSbRD~X98>sfF;+yGrzR?sZln(%
zcNYg&`F6%G1?%h<R>546&L`dxBBhU%bzb+kbBIc7p58mm=|0HXmOqZYjd5pzgyzQQ
zrHs?T<mak{^T#bnE88-XK&;`|`#Y5{NR7TMN?8)j*onBCCrI=ygL&dF1b)sz@D^mA
z*q?!9?iYOTIdEe^X7w>D?i^JT>wDC}vao&*lr|K-!8<t#?zQan^e-T`3;GO{FgA+u
zg94P8Gi08+C+VDzA(Gl{_8`s6bbWHOGKf`lJ~&&G+AYg(vSnZYL*QN{!YsYQ{A6Qo
z)ub-YQR=)l!8$+0HK@|0S*AX0MW!J(*rdlXjv|A@LkYVFAaF*~h_0&Y>KGRFl+X{=
zs4o|U^N2g|xyzRV1>DwvbK`0+&+Cpp2YL<89}g-@1!oz@m>?&}!S@%XWr&sPAHU^P
zBT+}9ndqK=G=oayFvWFSy1r1CSTWB)v^q@$9%jKCo1phh6yLm^RcbM}{?7a5o#ErK
zN#SDEZw46utK4~=gZsyrM$Eu43SZvfyYAz(xrfLMX6G;UlI$4>A_R}|qXJwr7c`dT
z9|ox^%_~>mQj8VQuO!eOp}VmMNo?Z_ei1A$`am;q)dJz@>vyQ&wXySKG&HT5eTMfa
z|4N2<KuNtdlMJV1UcR58lkrd!8h;HX=AfjId{rdYiU6g5oCA9^wo?yXi75r|8(nR=
z2qOh~*dt(6PSgMn7XETI+qYR`eaz4v`c}9pW`ytmm%zbj?HFS_#BIzaf;MF>L5P9$
z1_08*0z^X4a`P@>16%OimejK1<Gj&Wb(kyZ;3aF#+6&ox4oI4w`^cM{$o=Q)U3V1h
z14lPn7dc)dBT;zwqU@`mQ_~Vf#d`F`sXJ~9S4BN7aLQ@hhbV7W^kYvOy~ghdZmz34
z;=Xg-2ZPdrZ#aRs_y5@JW8GK2?Tyx(MU7)O7Wiuo3T?~JE{fg~2%YwFPhVV2MBfwl
z7S`oalELr^4vX|3rwL4~e8x4-G*BKtFYt}K=Z!{AUJP1laMpt-$$2E1tg#%YQylbC
zG%v8Ja{N&G6o^QBQi)Pt0MBZ1{;n?!MbsnEZEoUvQKoj>o;dD2Aj70cd%30>X3_Iz
z;pg)^eovHjvGOJoY%~K~XSTI4rXH)thNCg>klA5aRt4^0Ww_G69uZOyNcY@!jvWia
z@evUyJ!d5;B8^Q{4@v$Nd;B~o$N>mdxbNMd0TYBDDL2jAK_|1APJvbV4>4lq&pp34
zs+b@>OWp9C-Nc(kwB+UmIz~#8<0v&+dR*VlAgx`R(KlidKElKaXIPn+0x#LjW=D_@
zCi5__Bjghlu3C68Vt=Rf>`w?gA=kjKZ0(8LAk6?Z6R>2(g@qu|L`49BoD|ZfDIhWC
z-oNM|Xv>dH@0N2Hcu|F`j>w^nDGp|EI5`Fecoc{TvFJx$5o!CwqWv+VmwuNcL^JA9
zmqx5pXYuq)L#eQ5seUcQ6N|=`%-b$)G~I1WAq|<jiyT&b*KN*!-Y*D$=ES&E-?}3>
zKk858Y1dBHMt$GZTc>SoF~CUAC-mabCQOqDv$Q<w!w<g%uztLK`ytWx*C!jGR-IoN
z$)fH=<_xy1=YRf$WbLhx?W*|`trU-m_}qJ6W$<P;M@QxM)4Aj$Cv$!5wP$x56C|SA
zR5S&D)<6hc%!6l^N^+gZH$T0MIDed!n&QeNqnix-?S^|!EG}$Wr7#ZP=aPD*9?QxU
zx!+sCiHSBrQZKJpye3$*)lYc+s`TX$9eJez(y?=m!do$c!hc)WLwCP1q|d~LuXn!p
zVSw<|3Gp`;f9tJWbDFAVk+jYC#z=*KaA75y6Rhjz$P8CD&&C_hG#)<|q1V9YSHW||
z%><IZZrOUCavr;?spt}Jwdx<V!B~bEA8TaY6*Z*xXgcqI;B@*HoT$;*9R5K){`U?M
zn<1WL&?^1zqv9p?C&?<$M48WJii30(RoQ!uN|n>nrImNcG{=Slc!oJ<Bg6>K|A$Vf
zltq{hH3X?G8W1+R-#ZD}>Kv2viy0-tdl{;GwJ2ghkp^wsM(JsJtY6Ppf8RLnxHsJr
z_#+&R7##LZ2gek?0!L@-VkLq0B>IvwMK3|`-bpqlV1`d_m4l1K-0&f`b;@vTnUs@L
z`mrkUChQ_JsnC-?#E*vXpD)^Bh`2Sc-`*$odWN#RvA8qAf2RUJm5`+M&BlQ#P9tl`
zfs5>t+e?h=#N>#$hTi+;Hw|w@(r#3Zg?<sRaTgIrh8Sps*`<^fDsvN`y*rqz<+<?B
z?l>--W5!}}JmOd)4<tc8jg$}3GHZX;NyU?XTwV4bEx^-cYp;76r)Bv|ld0qE2eQJt
zB{`U8!V!4v2#T=(2r2U1e0;|Hfe|cYLBCwSE!1mgw@dHRH&lJW;7#Oy9!2{If5UOy
ztg;7@8k8h~tebQgpLXSqs#_>4)th_79UP*{y!GY5B6akO$=ergJwo{c;m1=XX3epV
z_wErA`OI`a(rCZy@2mVw+Ru{i<?PF3|BYj{9us8##gYm-as=~Edk8@$sP3@I?qYdi
z{QEft_=%S96Z3z0r(4<0#XBf{9?H^v2jO1tW6fePW3(sV(OQr>;?k(czRak9gYd1C
z8JFzVO;*{+*`*B3@7My9v{%N%`g@OCLyLPTyqmVrCJhHZ_WUkG&uWk>kDxwJd~E-E
zzi61y|HDF0?1Lw(TGfF=V)-_<yw_Oj?$A#KG#>E$WHHifs^LY@2$)F0Mt-#SU(1Q3
z<E_qC3sinKj8Y$k0+()q>I)i#fBR$N0#G&zOxjU0jJQCX=r=e66!S0?>Iz)ewUR#l
zd!);@S`bLZY>994AY2B<2?Fkl5GInO&V;(+bdT9PsQYE;EfFjCXTeK5#>UiNT4yrl
zRQNfX<OPL7+DRcMOL5yAbqLuheuhLx6xUC^y6m|K*Iie0wQW9Ga`rS#0Su+m_w34j
zzjGU`RK6Nmy;+%zJdz2q^1lO0fl*ykX%MDCV24Jw=<_i?6AkF6H3b<cEL%VV#>bPB
zB4Ho|pUb7Oo*wE-fXV#z`Up?n;r)MgH&)nEVGg@3v8I{MOg&g{{9y%fK3BJO5maHZ
zbDYSfiu_0`J;NlUIWb7r)vEta`fTaP{Tr3mXo?29ql~vBGqjJ8WJ8!K44>+Wg&7Lq
zP%rA|wbhvI;1UZD+V35D*k<V?=p}1lGILpC8qc%rV_lx)}AVeb9WKA@c3Z7udi
zMb?`rn(JqaS5?GRrgdXh&U1DqYKa`jaJliKex@pNbD*1o@E|+;j%9BwoB%xs$CxBi
z72w!`-WiD8t$z2;46Yt^sT~DKK7ffBG8>96(OxGdBw%8o_#)HGlkvaXb1=}Yh7NCr
z{pWeCeM-)qF!B5Hz)oI%=C^b$XW$-s$4Tp%Z{M$Nh=>yS==H!MFeP2dLel*Te+iQU
zp=k$WkZ65u&bETPHhWOCEdTW#$8onmeL6L--{maV7zY|XcvBZ?)T#R>5(|g?T2>|%
zGK8pli-}_WB<^(Z8L5JSkY0<}|88pn4C!7ZEef~=Z_Xb`-~#E<1cv$rYcnq&0<tO2
z!Bzl)w@kjr{ie-_HRS-4{YiUXhM#*r{ErNz8}O9UxxD#bSG=4X>Z4{H>e1~n9FM%L
zZ<$7_WRvn*E_aL*J#$0ntUMr}Y*3yaJC#YpZ#Xzxmr460FLi1yGRLhPSbzFz5-EXC
zSJy@}wfHS$NrRxdoyc1xp&wztAsbQmtcE1RSRYUBeRzEQ{m#qarGOQCVd?jsJ$f%@
z&oc~89oU#}5Tcvv>50LM5+5HwFz^6HE}?7%0CjnIG-wn9JqBrlV3O~|$U2ktvIjfT
zY-2s3)L>IMpC|D>N(M&vaLOJCLbH4KLJl;;LjFtgAWt1GG~F5ciR-Vt!Eh;MzHTpF
zN=AyDnbb4WKe#Ej2zSg)+^U7lG`Ys@ZvuSc_6RHSGmi9(<+VLp7K-N@$0OoFq2k+Y
zgTi4Gg+d;h<Nk>~F1iCHhbbD@F*Uf~v*`6H(KtM@efr+MIgB(b!>{L2rhD9C>tgx3
z<DxFMm8$_GqN4h9UiS6EQ(5^}>3dm}SEz`c+g3T1@(Cle?6arG-agv7MaiL38=8h>
zPaCFXor`oJK>B)T*u*j{E&jpjxSHK2Om9ScrKB1nr6D(~6uMl?W?eu^20EbjP5)zA
zn46L`K-~9H10ukEK<I}{%;<+a%9H;`fx)kb2&@}QCve+acMO?|mt^a@b7v|9@mj`4
ziY}A*EBcp}0KOpQdbzFr&ykN`8q|7q%1bcFz2Tm$xLB|t^FJ%kDGIH9nHpiGAxn3K
z`IUD*jUa2mW{$yI=UN)R?H3>f9~Yv3m0C?g5JM31aN|NUBs5|(EF|{()v>5Uhm(m~
z;vW~sO1-!r$<c+ZVX5Mkc+=Cf7+W~rWK3`dqxUQbb0GMOm{E+hxnxjY24r)f1A+~y
zrk<ebpPvYoDtV)Jx(ZHE=;-|ohM#Zg6gIL682^!Ou<-BaNvBSa8F_A`$11M4;d<^`
z-PFX7_m)-)^4fjR{iCPWq-Ak9PkoiUM@E6z{nU;Vo3-G%N94U$)t>SEt3-_<334oB
zaxB9vV>6%U6CrzU^3HeV-*(?GS=V^b;+2pDI!Zs5ncJ9v*t*Z`ZuvElN36pLmOdzK
zkIl@K264LRtQ+QPVLC|LA;i<^yZCB}@t3z}Z4k%~JaiQ>zJP>siHf2^fmMn?EeMq8
z3{)5DKYO+Ui0@3Ty=las7}|e+qEXygU2X2g?EA)o!fY>Cv8C38e~@I1A2&Asop*_G
z#p69$`fN$yf*vz@xxR6d{I}*<_`;u05H}u;FRCth`(kbKDD-T451~52c)<`mz3p2Q
z^6>LqtmmOX(BPiawpnwd<M)&!Tt>&6R{e3+B5ffAN9E#o*4_P^Z%jw5$~<?l)wdRD
z-VBip;w^c^c-z`|nuTzi$K5<9!K{hsvebSL=bTXV)c!PP{W4f2_A<CXzmPXXQoLTA
z#62*DI*kSUB}-}pdHTXZbhtWQmg9wNVA;pQ)qqA#j<cql+`T@%FOJbeeLr{^;dW3j
z+@n9t*TPm~dE44+s2*K;;=6H*jvSmdRnE09GcLUZ)u;(0hiQPvoFB#Gk$z#sE3%~*
z<V0s3awfP{tA_4t%ynhC+b@Fs{<%>nkAbGGTtBihvXN4`$K=Bzv+<&J^yLAE@X_DA
zHb(N^C<dKgmNXkoe0MSO^J^<qzr0DKV&2EnEA><m=rNf~Q--io$(`Jjbs(a_p!U-`
zc=((nNEg=xsSrPb4~x)e&UFul7H2jU#^%m3PrV~wX7{amTSF@*Ii8w=L(DAoz}Xd0
zZLNB-Y86Z-?)MVOeI1++2y-al$Mad}?YjMUSdl<Yarn=AdB}&%HPwtv{&`xRZOyi&
zR6Yi5ZvPH?-&2sQ8#Z<I_)KpX{*YtiK&>KbizV31%^ZtS^H!D^;s&FdR=D@uFidJk
z7nv6F#6tAq*z1DP?7yhG^O|<L=LCtJ$fxZdxg{QbR45kkp`c+8*YvsZ0FPK;Lg739
zie7E2m6esLV;9xsU*F3D+n?i*Z&|D_)Ze`VL<-r}dv;*-gkuJ}x>9dH2j|dkJ^6nY
z(2gl@yZ*8hfnzME3YN`x#P>XXLRW6j6aLv-;*tq_)^IhUIIkl#kzF*-(4NNo1zArk
zuCnblyx~O)FNd$eCJwkxdW++n9i&L$R8ju8@2<@hS$?SEG?bzMNG{NvK#v?R@RE~O
z2?7Ek|E{0nC3{q+>+6b--~6qh-)>ctRGRs&>Ri!vOnM1l^@MrpnxL^N-byXu8Kv6z
zTXL=9vR$wEb$Kh7;4O)zMF(XMO${{tK?wqu@f@;dJj<?cLDm@jQmOE&%9BX%XKs7p
z`ilRbB)reT$pM1xHi(MNa$iY>it}svs7zLAD8_)37NvVfNx0{OX|nz|u9k@p4;c!z
zlC!ff0bNk^iq`or;`HfKFNeBinrLs=!!fl`N>{zd9dc+k{@j-Y#CtN0%gW9KUafkj
z6KBW90zG#SweMo+4Fq3Ak^hyx?7LviT;g+!alN?pz@M&VA6FI+pJw5y5i23V8ECa$
z)-S)!hVKuI_80_S|EoB6TBZdgyr9qjpN^F0Fq2Nha0f;|Q|Lz5{P18BragdTKclMZ
z2xw5%*(fm-6zWLR5Yt3-dHmh-Mmgi$xgS%GIsPkNM97g`*UE9F8X*2V<H>tQV_WV2
z@(zd#k)~BhK}vHB?HCf=r>T962YFFUOVXyv(ffZy3v$?}HA!eg#zj`@1Fq7}5;Rjw
zcUMd|91|P2_FUH%UejOO@xvTl6eNBTERgB3MsFT~nNw-r?Dfn$>3Z5z0nzLyc1dhK
zFPbJ{GJ^O7keaLm8i$%2j9Q_m9vaRS;UhvxYrt>?eo%&pF0l6*KYlz6vLK+H?j)Od
z{N~Q~($LcS1cIkK=fBleir^)H#8<FB*@5d0tT9YdZVq5NvIj>rq`-E@pmZ&NXIw??
zXT2aX{PiF^eP=MrfP_5Lj`8RIIpR{LeNcD(s3@R(Hf(C5BW`(Xhl9bV^|X6D$>e^B
z#{`z>)X+k>6;-i+71kh*S7T#lJZThTho^a2B~e1z{C(w^Slwtk1LL26(57WFj>!wZ
zR1^|7Iw9KIud8ENoyls2ribS{K9O$hI{9|nKIK4GAnozUw}RGJL(wIZ$H&JYr9JIn
zxgfoK1^Wh|ltz%jtfMmqA1QQ#P+iJMOE<yWtx^QCc0E4oOTi1G51_t4{WefH65L{o
zx-BQ8z^9{B#+sT!PddZa*Vo~7z5hyM3^f7EVWLGy(1j5f(`HPyoW2$~DvuHOo*}?=
zFWE8q>tO8^K%6n(ZOR*E7P=Jib?hUP9Qolpff=t{Q8jW-kt413x?1^;5_M5;tQfH`
zVP<$m%0`lLVIQ?(WA4WG$aagmRxpbQi0W2+2m1bU)%Sw?;&^R1m&VxnF`Pv%E-ny(
zIGvouu|?7Xl010gzh_B*fvM*oO#m2i+`&q;1?j_Jym<s4GywH1;HgDbg?+MqY+zuZ
zP+-aM&n26zwW+NQXkWO*zB|Y9t`82w$LId;nAF#2Y&Gx7H%K<yW@>!Ex#f_9+Xk~7
zqhE-k5ZTTxnq-HuYn8J^gt}Nq(es;p;`Jw%nFQW{ROUd87n1uyzPslR$GEb11fdZz
zJGy?r={{sg02hz4vZ>5CbP&N93z#?PjT@KZRY7pMK2;3aU~m{RLnIGqF93<6{Tp=&
zE<t7}2FTX}4Krv^06ne;nF30h2_{xhKd2Oe1Bu_XS?WDSb!g{5Fc~SP`W3Su80Egd
zizEUDkcexRY0}aO87jp*su)D+f*llRaSB;KhO{<|F@KA{|9!ms4!<vABtev|rabU~
z)~$^Zg|;EkEn{@WFr~hv-F@qYOXHEz=CYbsWO`mTW)>~|r%i{%=8rPcx8=)+Oa05>
z2W~1wG2NM&Lh6q>ccdsn%((-^#=MPkedju~EYcU2f)0|f8*w_5xt-tQJ+nEg>bUxb
z<*n-N+T=&&Z0=vlz?Y@X%oB6)bm*|qgN36qf@^CAdnW4_hWt=vja{cJ?Z!-BMQ#K2
z@YRnDa!UVV<=6yLpY4HI?Bn?||Ep0>_MpP5c_l%PXA8KySprrmf*dOx-7F44<11Vo
z4$M5&@;EcdEgzN3#Q%q`vyO`L-Mc;=!Z37qN+Y23P$CTi3aF%jfPysAT_W8%gdl=Q
zOE*ZDfP@l*bPwI|UidrbiL;)UKV7<(b92uX`@8pNb0m7$<UZP8;<EWv`rxIP`6P`(
zFap<<h5QubpFu9j-E@b=9bi=y!uuo%sv`qWE`~UD7F3%qB~o!2nu}ExjWun>xJ$jf
z`dq9xa@D00(H=@BzAO4gMHNXLnfxvKBkOt`$&3Rfx&2esjxiC2`Ji#ex^Piy;wxse
zI09<EkrBPbXy?3@)*;KETQv=<fHw|a1K_5se*N=S+`BE`@@|Rv{t|4C-O*Ww;cMWu
z`>Wa8Q(avhXp^so;j@4o_kZuvT*VT9_h|RpO-R<xO#0LVB)QG#z74D`_<by2|E5GA
zM01|}rj;TTyGI;ZMiN0UZEReL*@lUB?kz0Gc#8Q5Di|2@CaM-T5~@qpr>5lpBI{w#
z&nQ1+()W(f=q+HZ0my4)+`2Qs-Uk$OKoVTy-y}hTi-y(z&gGnerrT;zCwLoYA0MA_
znKT3`&0*L@@$4%OAQIdrA8B_DSKmFqfQVLcA9|qlyOVJhWH?y8xkP{9^fR@^M>D|}
zyKF8*`S^2(u{VN(2#G<LyX-L4SmLGa_$i%KV|FTsCF)`)8#jn_8`;V}g4&6xL$j_c
zQ*xfqYI2wUK3h4YkV5~Zecz`{QbEBmRwpi(muNaotluN6<pkmDw}}9dO#sgkSbiUK
z-v2)~{=F=9kQM`O8?bDofa)7rS$}P=lDRjpUuO$?fkQtQ0WIZC#=kaoUvbmhn=}UW
zxshQqd5QNn_Gi;5^dD`_S6bU5`fhgIjE4^rV#nU)HvXAXeq?>Imr)V@=O&Yj70LV7
zXYJu2C(8qicz+HrIyWcAA+|I%8`d9duFazu^T{T>agF0YBzZKH3)dV}YB(rl&n;D4
zA2>aupZjR*{j=hpCtCA<ANQo;J41se?tH)$pyI!Qy`8BARjjw|Q7VN%=5XE^w+1g4
z81&sPFksR6)9%yihYDCFb;x!+fctoVLiOSM9XvdccE9c!W+%Pf%|Hr`;ygq*s;wR;
zK%>{4W?dD^O#6n*uys-HG2yaCSFKzTjhb6&S6AiK@UUS9F;~tj&w$L*S|1EATv^&2
zjrL-Lr6>DVY!`Vxfz2N#2;0nXW`duTZT3o2RCk41UD7er4;DkIBQ1ro4BRr%OCrJM
z8moe_H+82Y7zW~Mxw(I&Z_b7RvtjX(Oa3@0Rs~z{6CE8V@TtJT#1+8(%Jpw!E<juZ
z#u1f5fS4yGCkHlUq3a8Mp5rOA=v$;&FojW=ug-t%*OErGFigU~+AnCuvLO!b<x?vf
zD8TV(*AG^+G$(&{y$lgTm&6RclBw+Va`Dp6^;0f#?#N!H6;6BKys)56EQlL}S1Ip!
zy|jq6&XFR6PVmfPHkh;a+Uh`6qc8F)2g6#2SsYx+tXe)qmc^ilP>wl|^7OXe2?Sq6
zKza;#?xq0y7>F<s23X_&geTmFpFtW1>=eKv^D>%V%0%y<z|I><rRGncRzjsOO@ZkL
zn4iImyHzcw_0N$UP*^b=;TI5zsYQc5hgSNiHtU5P9HI3!f=b^;2A-a?iH*=jo#j2G
zD%sQxl~+oy$82OwLY81Xp(~#-&gk-LYP`guF?ES*TECfhA!anM$z?b0Ly!jBd?vvZ
zDk#Xr;H=?TjD^kSeW+_$Qn!{lBPk-`o+y(V57({sdxQ7GC})B&I8R_G%4MmE&^I(F
zW=oH=k=0eD(9V1F1z6DzG=0y<K=5nmKcYVx2DfItVQ}vU1&Rnc-~FXtV0!{o#FC#s
ze}WXyDUjlxX={T6$N{iLo!-6;U@K31VEekJ?H}VUgcG6sTQHjM&Am&XG6>|AC&EvK
z+?wS??LoRUMaA?v|KM=cWj^f9AyMR3+D8*NA@n&>Wg~Gb{0Sz$DYK8Vda!EzMousb
ztEzpzJB;jfxiloYQDsoHSzFvPYu&3-?H~&zL)|*ZP$e^etF@-LvitxtS!Q3kF!+Z>
zvl*{hXhAkfx%*0>XHn*D`sdB}7wCt|43>R25x&h{wQj8It#4+_?><3o0Yb(u2v&oM
zwz8%s!~Zr+KQp+!i)p3^EPxISKUP;D4}+G^bSRzpI8X~fJA(AVfDky@&VeWz=mfcq
z64rX`PFJo1v)}du38w#k2_z{8ppBJ##df4B+XNvV8C#hcn>V6vWHL9UMcqZicDZ&R
ze7iKC^`xSz;j~U^4ACIG-5on5kZfXYWF#g1DVy93@n)mPiCaljC;sUHPUe1OX|(16
zlzPf$_j^#brZLRe`SFniM^fBezvd0Bg{#)8R@sTVw_^0tBNhUV*LF~f;7&iX2L0-L
z`Z{(B&yI}i%Q7}N5rHPBy6V}~q2&7(4w63<iBoboot*{^U*Z1`cQzwpF9C0k#5`P-
z8#v6G{AQpwJ9SQ2jkbh=Vkx@=tF#{Z!ohroj#LTGWU|%sm|`j#E2mWSrLkp2q0_`?
z#`cC-1y){kHe#jiKH2;W-|x?!?k?J|2mzbgi{6sek9e^QyxB%&nDnkg-TfHOsS_88
ztM;A!X8SGm4_eJwGQQPe&V@FQO3=XGt!1rzNrLH;Gc(rZ9uDTiOlDzr&DmydRt5Wc
zpHME3g7`3&XM)!LEd+Nv<P;cta$WmZwQd^!u`m&w(!R;R&20Ugb&7xIduVgn5$$1w
zV%$D}r75+L%vv{pQ?zzBFWO_L@?fFmuWp0dT`O00d97z0?b|af1--tgxl&B+P(T-^
z$@-9JyF1-N2<v!4uQA>2A~3(yC1&=A!CnNO?5XH2t#dTvA<FDbd~Ip|rRSBrUPk3|
z*c?3%O!oa*tt`q6XCp(c?0KRX-r5<g{@!IAzoGv-pqY5(483m2W$xH4+F>el&~8a|
z3oR3uH*#$<L(u)XTI21UL@nXKHNc*EvL<H!SSn(v{&#|$2z5<N%Z2^s-pHM8COf{?
zEIN1619fLKg0CZ3`VU*VAKE7(wN6cC=POsIsiIgXjA@sYaHJxAUy~j&x9YuDo5+^d
zb&L38R@+1W#hA8ss|e0rDs8+n9LxmkQr@>*DYfR#T=L%(Kc7ol0=3QHYyKSQ_SzdD
zhj)Ec>iadp10YU8<aTDn@ODIh%U}Rk*hFohrCopl1>L)xTZtYULTz3%je9#Dy#;2J
zS7w>M7C9($-@jYGkg4e%1Oz`cNqk^y^>f7+4k?yYL@U@`=O~n?UdD$6!j}(=YeB#I
z+r1dejZd;XjF8CsCrT``#SdHi-%@@w{V*PNw`;BW)2YTf{i8cyQ3A^8&~q^_nAhtA
zPF5HVX>2fy>k&6{fR>U1Wr2C{*bt9gsdNXwwq22VV@jl`wU`*)h)+4%RpR@epU#}B
zQ^x3#59<=kEHWIWRaz(Sw+8X7!SJX3Z;tpJtgeP@VCparbWvbsz3r?kDtZk(l;C4W
zY8Qbhce(z6ITZL8!a4Hw()@15vaWBDhabMGi~bX4FKdm5ZKE*6M%{DvJ~>R9Y*~UF
zd8J7yC~O@(VpR}JS+KA<WfObK><uxYr-Ca43zwX?hJHmUL9dQF7cE5csIr>8YKvku
z_eK2v_@b=*1GZm*K|Ln?lHZpU-#QQTP$D?Ghk>9Y{iC<Z+sjFRRYjOL3i+JL$F6iF
zJyn?){CeY>Wrf@gjF(pfI}<m0Em%4%NkRnolddY?8K2^7_l5UrX$@1@W$SifJ-VJ|
z9qd^`4>&QamDd-8I41TSds2tH^xVrj4Dq9j<CB(colR-^aXEPZlHc6x@miizpqSVD
zEb40qKblBv$W^kNTa619&7HGwCK~zXrx4?BuDnRVF1~1k`XE7D<|}ja)?{!H^7`|h
z13;pL1O;_V4F11z&;Lkl&wwTPACvqo9uSyQ<G_@ZkQjJJKs3G#M%S6KgFYH;1l@ev
z1I@s=>~(k~;th*L9oBEOGy=<k2j4w?k@nW7qXn}|z8#E`ziTU3*gFK2hPRA0*hrnZ
zEUMmM-0MJ_x`NZT1xU)~DI44Io~fDQNhYziy$D{&qJDAK6o9X2PGf+)x(8j-NFWLN
z8bDBn>my@wE(?dzrt#QXX~<_ej7~!qSuDTKQ6A7e55<@Jk%a~%`0&1D(@8X6;Nk%L
z=ot`2Hh<UHff^%F(=u1|l-uPKCWy5Qb8skf-UsJJa6*Zoml8M9yoFf<<wzWyiNSVL
z2j&gO+rOiMFCF|jBSI4{S(pGS)o;L8(tFOmv)y3yU!Gh%Npd8Dzo_8&=@a$`lII-_
z3<-^LFX2_Hfx|^cSXA=$BkAeOf#%&z-{EjC_&`^d%G*^*qG97+BMR21Id#Kdd95Lp
z!fqJI@o51uSK%1uHcW4Y_J)xcnj^OQFI$BqgoSCahB4ST!$tEOj~*cC@%)BZ<+<!H
zlS|~{zkH^2mfos(yQ~{$bb@NQ=VJ4fF<vEwmi$zm*rj_=ha;qBhwu^k`K`g<_u}_F
zI7&K$6a+9%gIB`@RT><H!O-mI_&BYU$04Xq1pDn<Fnt0a8T<gn0H_FGN}KD=dx`VM
z!Q;TjrzE7fh0bkHm7BS{--;8Uj{}T`ZJMV4K{&ixwKUf4Dq76ywN}K4xrg+FQg{&a
zwD-!Ro6|O28xxPZw+S><R3@!5vLf@`+Ng|lO^4M`!CsUe!#4)`-W`!;kce;z78^=C
z{OT#c_WdW)gIU>4Dkj?h1a*BKeO&>`Bdv5<2hG@j?Evv+#dpzX$2KY;W;+$VVjYx&
z%A>+>kgp|sQrWer>VQ`f92&p@>{ua_^61}Q01(&1xCA#(K*%yOFvtLO9WYJ<6lz)7
zQ(zzE&QIcbwhzJ){06m;IlqB38CYz)F(r{;40DUj1Zo)5eF>F+*ktww+U0srGb4PX
zrkv;zS0iuNjBA<+oMf$-mK3#mXdxsj!Dw5`_X$=MZMYG(Tk~HHA2YuB5&y?Hi#g`a
zZ&99O?XQ$%#xTgDd})YC!=HCOdMbEFBQCu}9SI3}8HiQQCCKZ~C|$V@n9CMllQ}wp
zeJP2#r;|@|mi}?t^GQ$hQFRnPIv+>iDnfLmca)iB5MhwEx-Udn79Ed9imMsO*Ot*e
zP|W$<JATeb`Na^)KBCyZ_OuGGo(}mVWodL9#kvOZ<D+%L-bYgV45(-3JMi&9YoivJ
z2!nRv+uSI)ErMx2XFkvly}`H`ka_{!@i6xTACPZAmL1f!gkOxBf$!SE2jffT>&4~%
z<Zci|?B{O*!BIP}MH;YFd+dFu07pQoM~fd7|4!x1@x3}tzO{0ghY)h^)1k*OZ8CoC
z?Jzw&!s{3~D1s{xb`;Xoc|Z=NXRziV(V-cSLsk#1qVP0+cs0Fw@sj_gQ&sdgnpv-+
zh+RDQx*q;BiJgyW!ef+ViMF~Y?BCx_>*hKFX?s8`TGJSNvSyLu&R3a|=g&o^V^8(7
zg^f!pn$OqGyb!+;2}cr7m|Z*lBotuYe2qWc+&J7R4A8cpBTjZ^C0>tzzWvsK+dgng
zoiFqIx&z$!-F$XU_+=k=X@=8~7<f78{`Z-7`Wd-f{y3<By7fT<qeLwbtUv|nG{`Ul
zTLcz9r9HUBfp^acKytuU+-_KUUL)#f=U)*f#5t$tDanw%(*e(+M+g(XmCwFK2R4q0
z>h)*U5WyB<Rud{Q#-0yC=L4?2VR&N+R!Sv8>e}jP!~utQ?-iE?V{=#Fko2fh79(-6
zj8F*M7U~GmwI9A4{0tS<0ZTQurI7!tMRm8q0VpEGROLr8MG7|bVk&1=D)f#Rq81T{
zK--D#g6T@{bw*@GQxU`Qnh@{*T4OfvAyF|U-Mre81+brvs}Z%BnZ$*EJ@F9chxhNN
zF7+NC0E;yFso#N;_ovPE4?FV6H6h+jlCgyD(0ha44Ur~jl5tZb>K<ZeW!~$2LT(%$
z6wIrCc2sdRsf(~|BTcF+N-wPRi4`tHhE9TY-h7btDs+>q9NEN`@K$pH0e-@NCY|Ov
z-D^V|fWehQauB>s8n;#^EW>y2v`5b}D#xXVcGd~1IJf^}zt>`zG=PNFRf;+?S>=%!
z>^&V{IIez6*|~OcwDyY<%=in&_f;igu&#|TGgoGx$-GwaCvL5eWzv*;1jI+5Y3|A`
zr7@;PCOX%kx=FO){97TzMAfVx=~#>Im~{yhvtDDT+j9T<HmaE+qwsfGMtXDw_oXoA
zO|k*fwXfujHvxr1IO1_ZL_M_n_33~_#2PNQVCzJ_6Bnnjbn<r>gz{<kv(m_|_c~Bd
zLT%-Ag~l{O<R~Up?!xq;f$rNNN?7_5KI$haw-=jVgwBccaz7c>LcES7q~;WV3cUy{
zBt3mTR5ZQ2$-2QNA<+P2dLZ)ZsZxS*&Il;?1-bQ1z^p0<>pD;fR5(wOYagRE;F4n3
z{r{OI5IV5v`|E^w<&w2aH(x1zE%s;W0HqEeA7P>u)7`i!VVpC2kUV8=jBQS4Jvs@w
z?wcy<;a51If3pIs>4ib7F@0sdf^NjvID4;KeW{G@7YexU@SGbQM}(t%b9&jhfqnh(
zQX9{jxF(Tom{WVy5iWC>!}(;@RWKEgYLf^<o^8vF7vBzT@Oa^oA}k%nIA=^ThE5Cy
znir=`W0=wyqDU<QnRZFxQ?239s*!q3fb_Wl5g9%no~<7r71h-TeZe44#CmiIC|kUo
z2nX*|Kmh^5IEcIf=7ygxM~fQO->jngbuQ=QM{k28muz9JFV~&7vEA}r<XVC#S~*WQ
zw(DzfjIrTf-D^xIca)vocK1EINSxi!GxwU!A3WNg?r1K6bPOcqZst-YW!p*0eUR2M
z5{s$i-mK5eFr<1-v%fXaf)T*_#=e^WET#H<DsSj%==na@A=?)6V?7W3V&Wrl>R=Nk
z)PrlzajuTTYp>L|!}l2}os^;t<a<6My(Pjn1dONd$Q^!zq6kteFr@WNlAM(tlwvtD
z`HlCk;1V3Yiswe_vq{{Dc$L2H+K4NhzDwzRVcP1IK2op#L)rTY4K9w;ds~P|K|EBV
zDk~!hV|`n6jBpFPg{AtZkKa1UTXchM+oGLM&PCrcxAtav(0A%LO8|}TmQh#gd-Vp0
zF2_6hhL3^h=LQz@fPer%KD*sH*T)oZAZOq;A-}~9Z7Oeh`Eih(7xCI@aBz3UrpI7v
zK{h*{@v~UMb;6xv7RNgDOXW!CswZ$oT?mHhh(<;3nmYui@^$sep{yq>84)%|7!Zp1
z#958{p~F*?+`g*Tw`~rySC_RllEc*-d8ejc7|j|>8wfYkgwPKW%@_LVi~K53qYMy(
zLqF)8*2>C0U~($DzzJS_FZu%2-6|z;?*aN2H7=rHSdm!bij$xN?N+a~17{s@=)3t5
z?c@C0wnl2dhXv>=wFQ_kkkyWQYXe>j)W5Sk6IAGK5#z!iRPJHaZ1J8{J~gRw9**yo
z*ZG#s;`)yn7m-KgaSpqb3_3F0{QHj~va-)9)kiC=*yZazxeC1obON5$iJGI@GrYxI
z!QlKhc%lE&E%TLrD1IsB#?vu3i9A7=tPyXDV&`d?|EhmxJe5q&w}~&$v4VX0m?wTW
z;?+a3U9Q)ic&UTErXbxf<gp1gGr}tw87vuC++*I_G_|AE#fPzc2Y@Ir8%Y5}R#4B2
zM0P;I_~*9tni-+|&j|9BKen5bIMoxZ9m^H>U73OSB(E21PA_dd*yu3N8g*eS_8RK%
z+5<r@;LwVVzX3LOzs9?*T2u!;>z@Bi<(vS+v51jN%5KbV25dCvVr{#cp7085fsXol
z%U(W9$I6)m!47>{wUUvDm+9t=0q2o|cpOIE<B)*CZ{p@7^n$y%?(2v7!Uvm=!t;@&
z32*dhlo0*gJvo_u;eW)a59$q1?uT_LGP0t!fU_ewmAjuJ7c`}g#_vxWu%N;JX32r1
zb*8<#Lb(%4imbO#(}I10^BsEdk~9~FSNx1mGrsZmPDjQw2}U*L*me8e&tf)mu6fH>
zNsN{qqaJ6I65UJ7nJ0_+ELP^uS8Q1hj#)J{Bip9DGIwT+X6b_~CjU)-$q;u!hxFb*
z$Pm6y)d1fE`LJ?_W8^8N0Bx{jve;qpF2*?yWz^4-)I;|k>_JZVh=q%49U@Cvfl_qn
zspxVHh8G}X_#ULs<5LN;iiji=Awj5t!S~VuT)0e~z$V35i$;#D-wtyo5P3(3J>b3H
z(I2GAM-pRMl*KqSnR}7>vOfimqN!E6{kY&O2wPf1)kq^bnn{O9`MK8foxjeLYT`9U
zon_Gb;BuxVPI8fD;ipR9@%fY8Q9BacQzt51%*T+pZNb0%G*$a#3uz;tYcTTlg~vze
ztmdQDPkwmKFdWD3!TEHg>Op6CNKN!1oW*PtW$u2UCiQLtHb&QkjA?Ba5<}9f1LqW&
zHd}yx4zR96=SQ2npgjVN*nn=F2lQD$iU1!;M<v$y6aL>zH5WJc0@Kg@!nzCsZG+6=
zJq<KRQjTdfHwHH+JNFm)izhAT9+w@FPF<bSh(=wfYT6$nXIjH}e;8zFE^TkLPWiX6
zOVA&z#Y!yo4ohiD-x>C{g+=<h0U?OSL)7Y~LE1z2hCicW--Qo%6@G=cAY^XOSW0~9
zXtYCj?z?bjvPKNOIYeNwQ^G&<Am@Vepg9NKGMqtwt!Zgp0<*cm<4ulqe2fdCd?ggG
zUz+0dE)so4;8QT=zR{XzmmyB;n*e(wB-^x2GX&sy7#3;XFJx0J^*-(T8k`l|vUIZv
z^s=d6OouZ2yeQG=^u>o&)X06dnx~(~_6H~Cdy3%ZS%|{|3WYCrtCxY$R-M3Yh(Oi?
zHpD7X&YSq%6DeDPxrfpejgRmpIy<xsnV2@XP({h{jgswa`;81r?3f=0{*6>ik?ejw
zU$VcfEO}*%>*gq3hHKq6F(1&UTGJ6U+D$D6I|(6AJ&8ySB{{tJ;=b26vtrGtz$(=A
z`zAZY4=>Zr+~~Xps?U1w%`qJsU601zi7}pS)mBM%I!%C-qPuG^sp;88>_30aWcj-q
zBT%Q+f>r1Vy7?XS6q5L>n61y}&*`zclrN3fuufOn8L<Moo#<4ONv2Y;M3NIs>*g6K
zZ)7|^A?eVopC(8ydh(p9UJ7|z0ib0IoOOhuHRwZW;DVEBNf%_VT>iRZk-@LydF!&?
zOpoY9GNsp6JndZX8G0Q#R`2gKg%^$(epd*5q=3h1t>~rH&r)eD#RswS;R_dN#+m@I
z_b;>+(|fv9LY&spM~~Z0?7K7?W#vxJ#t+SdBt_9Z$v?Ajk06D|r{VbHtjgQ1ja`B6
z;i9J&KNV&d`dOQPK)m^Kqq8Oh*~^&lMi~%)s5LP6`W_<)s^v<GAF_m=-`)GpvtVzY
z*5p@rV&WEr!3=VdRM&WB?7|VWZpyxHQfXLr?Z(4?sOkb&0>ir|Ys7Z&QjC$Wf<^E?
zmh+*n4I_9ff92(S6v%49-}gMb*6d`L$$X$U-;dq34G;VTPfYze_%&jlVXlW*(t(+X
zk0gD}L-p^hMI&_cDFVMp=2Fu{(pw0sgTC+~9KPfh4w9=ssaEoCBmaSq0ECf#%Me=}
z7QGfzh^r$hWPj%YgXB>JtG-*u0`gZVT#L+3E~=|6tKbINaT+>Na}#Hs2n9(dFbJQn
zvewDJrG7JbZrz)2NCR;Z05z-wHxak<dXS1fEAOWN0<dDgzHNeW$&f_!fw9t^e{T^Y
z11Q4{&GCM5C&lP?wNFf&b5ZT?JL#kw5w$8B9X|e|tQhY%h`DGUBXpm%Wa7J!bt{uC
z%pA{9iTG_8UK8d#OlknTyS1aK?5WVG;%d;upOCgj+DDa3&+%Ar?IOZqxU|tn-$}V8
zgeU7S|D@G5*2KMx^gT!3E$X)67Jh|Q7Xq8Z`4JIxd4cwO3gYx>pMoQT)%73nA*417
zLi0ck%ojmL@!sVDD3IBjYq|heC2`lS(@ql2+n%S}oSaRSNbKKVO`GyoD<-$3nMAJ;
z$GcWboSgtp3ZHbj8B!{%jgQWf3_B$^YClObh8dzFDDj~<Tphei9kOT6vLX7=ap7*o
z1fNc1oBxup?f3J2eNEG4bcUK?-O9787^XsdW5g$fM6i%YXB#fNGAcBX-pXgRy-PYB
z9KxeKIz9}nZVPn>6OcnD;-g!o*y8b!DbZb*2+g@>#zo$`ucqgZhCABGSPq6_EPstS
zG3jU_S^O+%P}bz86jA=XHIY8GU!ui&^>*H%;kopkR8jfpe2!=|gl#v38)TPRupR2j
zQA!@9DnWlqe|go?Y)d#qj0C2K*(T3-K$9^tngf*~FRHAF{)XGSBWd&iVb0L733zyJ
z(fnZHegi6r!OUa`*kAIWfPVt+^dPWV|8AF_0tuKpL%{b{1t5(1<F}pEx1%cHe8Q~r
zZ73k&`n%eniX$bxUW;2~e5a$Z4lD<yQZyU32NTqCaMByFEFgQK!|?Zd^Sx_=IkHI9
z@I3b*5l*Bo9m6p>FvLwzcC6_r3LL7Twuj*%zIq{zrA$Kwt6Srvh3K{2bj*c^wjoUv
zKR&)&#F&ug80;B>S;;Dy*eJM_oUU->|Ne{~)dfRze@2!NQ=#v6h~coip-0<PjtVgT
z7t2$n5WMHW3^D{}>nepnrgK>vxt;g|+@F-x6|h5h0HF^CYHdU5J*>bS8yKf)#T?Cn
zi@@i6EQ>3j9n7`U(<L02ls=>Q0;~p@QGuJdFL-djfinsaDm{Qe25$ESRaJ+@SHGn)
zAOD?rR3e+?EjU1^Z4q-ahEcUP7Rw2?Ac>nAN|n3pUfBr!*yL_@80KyBm@RqfNLzD)
z+tal81)?{*mQifZrII7$(k@rcH*Y;oB*pW&#M#&?6CNX#5s4sXP4laq$HNYNG|c01
zLFU+FwtlC3q0YKf5|2u|AFVVA@qcQSz^0m`c)>^C8@wPI__a9X*j2DV#Cm&NN`m=#
zq5ae<aN&2SVvYoUq1KT&!R7CVS_(!Ec9Y&$JszlT8U6+OrCSK-EEGpNeT1I24CO%}
zqbA=CGYj2af%BZ3=>~o;tVxvSK6%P}$SJh{pCI^O^bK%WP>iAl4Y9iUPfSf0Km=3-
zJZd1--wyJC1qpyEaB+YJ0&bx9Ecy~aVK+brBLNiQ3}`|xzP--ho!<cr+`qyC4`L7b
z>+xxf%iL=SKTSjq^@;Fz?0dgx{yfu%`})#ss7cC(j@Jt4A@NOC=o|vA41GdEjkg(9
zO_=32xP3nLlaxskuW>tmZ9{S`=&-A1Zqi4<F&&T6>Q~;@=P}e8wcJU6FC+YN@x71L
zun=aCYC!{SJjt6;OS0<k$F?|2><!H83&pB}nx3(yu|mzTN-=XOS2_a;k}m8DU6Pil
zS3B4QmUlEE&NPj6XH&T!*tAs^uJlWVU+FK5DneWjf_a-D<_u-cjLT-dU5c_tR=RAt
zbuaA;df?EQ^Q6*;YtO3qwPK(+H#Tv*JRPPBV8(-GyO(N$+5)`XfO`R2JwamycyzaH
z6FdsOh=vgmLzKJ@1n~V90K(%ux|qLd&dW0gh)#h09smn{YHVyyf;dQu1BX|cd2ifY
z(`MXD;I%#m_Wv7j&F}f|_jU1h%%6wZ^O~FRwE}y1XrkMe$d}OK#m2)WALlVDKJ<^C
zRdJ|j=H6xpGbSF|3^v;svjo)*80-NdpV||(jP~s8&sXx_7n^f1pDeChe6^GNR2D!J
z^Z}I05!(+a(RwBJ+-G!hFO+8w3*d&LQI4118Kd|$Q;>Obz<Lo#hW(@>80I+JvFK+f
z(z9iya^7axbv4pG=)$xhIpc8fI3R2x^xfL9=&EYW;j1C`6d-;*#6M$J?cFrlRIpL{
zth{wQsQ{UXTWf!Py$7&ufbTmy8vQQh1>$6DdJNcsfGraQKV}{KdBNXfI<Y%(mir5g
zAM6!@mtGIIEM~cso6?KWv)a(Bgxoa`$A2lnq5j9-%1cx`cXL@&;G7fbvXz)Tz}_?n
z;r3Y{s-d*Bbb|@tlS3#MUt2gvEKB(nNStdS+0D<&L+H~o3}Y#}ljsqecMywRy`v8)
z-5w!d6A><r#-64GY>JaePnJbk!AqvG7t|{Z`<wYh!*~}quC*~+`H`umIvf%cPHI71
z2(xmK^6mh!bI`})<md=w)Bv1QfK&GdHBi8?c{1ZP3=#nFq@+hX|NTt?nBS>j`r$W=
z2se$#i~4q(ElY#zlqq|QiyIehMA1t=hjeizsH}~N5gDCpM>bLrj}XoY=4!I3QS>tK
zn;pMjBnZd*mF5`C5q+<|{MQ)69O1#C>W?RmA)6>Z!b=NY!d>U==HDK4u)0>4X`^bn
z*A2AR$<UDmZw<%}5ik&hDDG3OzSqC=+<1lY4S7&~0%vD=1v&XuMRNKZ2H2h1XB5Z)
zv47@ogviT73e`8W-gI_&+Z?uAA)I^n@{;ejHi(<uClJz@LyI29G;+z4K%vEac}J;c
zKtS6b9VXl|*M{WmAaD@oZ(MONe|VjIDToG@@k)~=c23vRA_zG17QVC)R+$r@kigm^
zEPe1N_(7`xUXy;KPISUy1-W*LRmeNh@FPLT|Nd{}&0*<0ux?@g`hu`iwJR&$vOBc&
z;w~MK@h%953#H1@ZRO`UN3#rWQge%j^rK@=P>n>G`e|j(neDS%2^KDMAgh|E)Nx-7
z&r{=aV}lN#Kpoe6Fa`Gutv@SMrQ4qc5UgC>lN7GQu)d4%Hu3&8bl>hQEYJ?Kfpxte
zPBy@hpTNUS2~xcO(l5QJ#9rJ(hI|_%TONxtTw73up(RCUaU3jNv`V%#!4;B9hw?v5
z4wyF^H=96H-zN``)7^tFkD+vI+}G#XbI<c;m7l2WHp{+RQeF^7h*~(%KHgvQB}=41
z6QN<)D_$(}aAe#h1L=Vt7wnGCaSzOg!Q{Vsp1)tAIy!pWDor6OlyyX)d8{m21-B+P
zlVWm}A%5!ggSJEaX$s?TEnecmVbx{dml^c;iCj6He$g5w(nD}M`CU19X&qzJkm3*W
zYw=UJ5wD0PNo2j+rdMPlUDq>Eq;b0E@>CUoZ9af)l#GHxenevBhay9!q<e+-9mVfv
zN&LpwBl6H&mpyPS-4?!qZjy})i@3j%_dguo$_HfzU(Q30c(WQKL+6>I{6nX4S-ZPd
zIBl>$1WNsswTZbuHORXP;U&;~)DvHAfr5P(ZHMM}IU6c%VB6=g%F_56s6b8E+WQeV
zJS^+YGK&n>$_msx!!%7(lqR<9pJ|%u7+=r{qx?~CC~OXxxbcv(ch5Ob%bv&QM?h53
zV{X`llHxOi27d0M&o*G-x#2*|;k84GaIc7?W8qh5SS?|tvZF+=tI{rlC>$B!nAhO=
ztp`|XmuCl{FhJ?&EU;+l^L*MMLW1hsp`oEU@cp((HmnB7Ol*2L6Hr?Mz8SJ%1Y2^$
zn<NbPmSELCRqvQd(A#Z>*p_dMxJV>TG%9Cx3UJeBbw(BAc1y4xIED=zcU~N%UmWd~
zt}@PD!w=|F?!;r>pj2Fi?1U}Zq&NNwfzK@ke>dI$Zu&l_>QVMKCx3-B`k;W{GH^%v
zgPYjo%mK3{`EsOpT=b7HECy~g*h*U&uF*H);-0X*AJd0V>E%yMhRHv%a&q>6>>XQx
zan9F}{PdJ3MglGXuu=n(F_pBBmw}5kvK1XP+=v4t+CZuh_{87<b$cRTT3xj?H*W-%
zopUHKjk^Hd84OA`ioTRQuQ2Zge|56>nfwk{#IfSv`!Dre@Ejnd{+?eEug6)9+z#(!
zg?5<+cM4_2Mj1S0{Eaf9v4vy1MmuEL&XJF^j%K-bH_UJsk(?(l2;I$6rpIgz9m}jo
zN4uJyfzFJqCON-ntzr9(64ONRpqq%$-qtkqoD1ce>Uav<Tj2qIbLYG8jFR<DirUph
zOI8A^Eg2(UC#YI2JHY&kl<)K^=g#Zwt1bLNB*Ns4-%66kOLYr`g#<OK5CQmyygx6p
z68B^ISqvJKz$Rc9Q<9+e>Q6R3_6~pX))aN`$M?Gew3iMdShGVCU1o^h?^i0)xzQ93
zoiU{x_>wAR0qcv$Quc<5#$OLi{s*@WRCxewDB!N%=1hQ3e*|=&9B*0w$i)Q5V`(?g
zQ4<QGxdm?ncX|u3et<A-;cl{Nh8)J<3lA<cV(`P4J)}n2>0R-98&SNDqH*&IZf(iU
z;AQ0+v>6+>hIkSpx2N&1MC7dphp{f(G_A6w%-t#%;P>oFd0=Op*?bDfEfr0Nf|#A3
zZ1+MMy_eJs=V^`kV9r_4`y7FzsE#C7OhZeWM)FeHnLN!s+@_AHeqNtUycjP=r9Dp~
zeNR_@{XF+QYu;XLfhDj`E4P00Z){)sx|)yUPC8mxkTZ$8=u_K(x26KapJ}03;SDOF
zRNI^S!PB!5a-oMyqCTulb^2cY|6<AjhdyA+93DF7KLJuSaAblf^B%MDIuHyJ8?&<!
zy&PFvvkfO;vR0s;etdng3&5*sGl?MUi1l|mRLz52;)#D}%<-idJ&!ZJdj!pHCmx#8
z0J5aI*Ico9+x9w0L2R{%)<BfsaxUp*t6GO0g-R7OvClI#(G-WmPjB{hFh=8KUN<rd
z2{CYd-|bes!@b1{O^+8JQ#|IUub4)%rAB5w^bPNQwb`O~L`uBsf_Zk>rp@T?a2OOY
zwHyi+`k|v27g@MFGQhra5^J1)$3+dHKJ8YFa)`}AEg`M!xIVzBzYD#L<HHqm+jz8V
z>3ah`y}T?*K2mo>z~f?HhKQtj4Jup~9X;G_f<JJj^SU}h@a$)PZ=u=-CCw_ffHDt|
zX}9K8;GX|8pOHU&3+M*ZkYg~0hoLgu$XZw|-!_+kiO{J=nuwhbaL<6;O7cwNtWFsI
z-{&NY;nnKAQzq7^OZM~?ZVUfWtKs9aBKQoVem&ZYH#RESoVJ-@T`oFbi4a>%FkW&>
zuWbyjmJz~KnT+0un=qNW5*Ii50GY<oB!(Xuemb+z-acLEp)o=@>TNi@p{X&6q?_#T
zS$N7N>TMuxFb}nk{sxy%-}-D02Z+ancQdUi7e8N=zkT*jlkJ_-9H$_IKeVZ!)En`d
z?oydbmyJ<`$?0AQby;=?c3F%a+ZC!-+gqu1Jt*peELN)D!^*H$hVNG?XeV^zAMH%#
zlSB4cvJ3dM*Ouw?kdglpsMMc4J-?i*tf+uppDu#2b-eT`a7)eRs}>L0IR4uU@P82G
zGGN}%0kT0hEUd3j#ZAefH~(&%944bvI(l9%mSN{jvYNqgM+2G3so&GqF*OWnMtR&r
zJ)XJ@JF80Vwol$3Ids9g`t}8*l~`^=WX|Pnin^ZSbZZpk@1!5gx@lptGmnrtq%qgN
zY%FGbN-}K*namM5-)7-uqV$H~po>Qu5c>Npv;07JclBDq5lldtc#J$Xp*&F2h&qbO
z*{J*FWrXgxwPe3Oa8%v=HCH3XYihycPoki<uIz4bbL1GL-KWQiDV_(#-qb+}^O+M7
z!FDsIMA+H*jACm&vFn5)qyNtf=4SSgP$%E_{+*3{#Z0c4mn_ke09luCFkDI_`Mb)x
z(zGK481w<}xe=g1MGs~G4%-+IC&8uI5+rPvphh4n1>zc$<KtCtXFUKN3hWo48s?lo
zp7ifq213}c@v*cgCQi_?BvD5#J<W&2DpVvnlayXa$!Ju#l*?{#J5_qQk#jNJHyQL#
zzE?=U&|)9h^NhWjf)THcj_3=2EnMHe9j5HbZlX^uqve8K_D(p}=Y0!7h!3|{rkvn)
zhGu3DKUb{7sd<;;Rqc{*ukoL(b<+bc{1!Rpi~%+Pa8XG9*7!}=J@^c{h`)txEMEKO
zlItm&RFk`#|AI{=r2Oag<I+G_k%VWVd=o*)x|a9S>qxAEB-PyY@`)2#ZDNTwjK3cS
zR85t1mvj{T*hk$W)NE@TH%l3!(;O)upG5r{=0aqpka4IQU4J4Rvw>vicluqcb1Hy`
zeAz2x+AycwGlc;}0=s(QVJ@2#vxo$z%hwdCuZD$)=uA=;XJ_n!-(`=~JUzn5r>Ty)
zDRuYa*~L`(HHGTa<X1(1z#ByW;k$I!=TXTj{Tnt0%S|!e2J7Vx3SCX<_xGG_ajckF
zgTv=a<sjA?+2v`9@BRoRJN+1sE_1XRPR^bqGi=Za(HAKIBmRF6u|sNF4=i$fZuZk-
zka3g=jr(yEmqTY8YcPS6-c`djh`jQkQ{@HHeg*Udak6ARXPE37)3X%ts+Oy`vj0SA
zFMIyX#NP8yOqVNcHmdFb)8v$Ayryo!S+R5}sO{II=#K82;4eXT;YPG@{;Wr^x~1ei
z671>7BZrVJRd^k~%YY)&l-T^i5v@iMJ%{g=X<MO;GY6?c>d6@o{Zbtz0Sml^_1@t~
z+uD6nFV=UR3%p3u6je^CRh(&#!DQTQDS@Fy@;KuSWi=#|m({G5THE=XfXVv2j~UUV
z4n)7Fym^}AHTm90w}(oazX=?7VTs=lO5SR%_ZtRhvU-;{048}k42rlC5)&;fEidLw
zt*zHV4;+A3jRWBagc}Fa?t`|TgkMMhSedXuAuDdK(sK5&v$Ekrs>kzC=)+YJrai5S
zxl8+c8fk{r;*ERrsPzoBmNbXUSb~mBJs4q!A+4pZ&HJ?L>w~{tj%){Q=|Ucu1{Z%4
z`2BzadD%{0xOb|v!k{f>S+UO++JmjDscKrwl^5d>$G;|%l*y4v(UbS4KAeR_e4j1?
zgyF`|G3PL-9}UIz1`*Xio2wkCH3Ajz3(S*vNCybR<zsoLj(!)0qJZVl`&Z;{Npk|U
zhf2j+*20)LZW)8&-37-eXlbP+Yw&C{crYpBMc#sP9X~?)VyhAa9-)*1*}z?2(y-Il
z+v|Qjo#$LT@>lATe~#!~Na48$iJ6W=@kz3V&#Pk7JdquYYj>F`lk;{`(utTog;0<p
z?$$nr1Tn=Zx4V2Omow_iyAToc9UW8LW18se$7}7j(X^wilfS;3N6$#|5YvJ7`y=!+
zWK4mL=oiLhE}6L4;K3eIB5lj(KNObkcN%ZR9*Z8KP}$|G>Ilx$xI-Xjv^~pQg3eh3
z+(UL>ChuxL@$enSq=Uu6jf$g+=Pa)cVk%<ZVg1;|j5!@aug37oy=?Us-AjYMx$IMl
z(K*gZ)5aB?4syA_X=5Wt=+=Kn`bhAdJl<}&0t*6YE<T{SYG<mPg_n0599cm%B?uq=
zCpeH;Q&HqUA~Gk%_y?dpsr`jr(>DMGZ?M%M{d@0KLLF`>h>H=j>mZ%ce;$~7Y-$#Y
zCRh83j<eDQ$zDsSCC}8qzWyuZFn4J_IWIcj^p7{$Kv8^N42j@eWpdUIm{i5!4rfm;
z^l8_3E^o$g@?$@_YJvN}&Clii_>~AScq|5nQ@%clU|HCtiKj?9;oxu)q{3CJS6Z`W
zR27b$lok2TU24FT2PMeThVvUKJ$PX!O-0d468X-#RqgbgnQqr4T7psxCJ_3#jc0*~
zB6U%sj%95Te|~eIW8NmxM0Y1`m8;rFg*=OMMx{0y-h5bJ6B}KpNQrhEN&&{(J!$Fl
zwU0n^xovqjsJ(@#JXJ|dOw9D$soNWMxGj4FMPR@=_2Tj4Tkk38QONyIpQWJ)_lNH<
zLEg3*aCvtd<Lxh09{rt8#Gt{QHGi_9!ee5;&pF3a%mwk7=Sz^?_#QV)HHUA!_LRqY
zry5SA#S_42M2(vBXcIHg%Gl=*<lFPFS5JaGWck7ytN3-jUueC-EXvg<;x>|T`zm}#
znwRS}k-}TR@DGq#(k2VemLpbDYL?a*N^_}z7f+|AItg-YtunM{qymw6D|LFfUQ(4J
zrc#r)ngdB3GdjjpwqG_!U{E5vOQ^;^Nr6#j;C?=#nUt4|USeaCk!OI{{@D|afh|oh
z!{u?z0|QUl-Exa^al_6b`eTJ3xaTTFFz>3*0c49N+gPcTcDq64&X^Yy(IW?uE|_kg
zl{laa_a0V_1~U<lP_fy*_K=A;wUbM!(70O2(G)DC3EAs7BWw-Dl4mv7dOr{&JnNkQ
z!jh5Ev@)SX;BHh1b|n~6>&+RnM+?6^6%VpFB9U@qI{39kMex0#AVe-nO-hz_-;C6R
zT3#v8r3cHR|A<K@Ea)=Eq6@tRka~a}4LDz&!GRKFM#0_P1>E|81kTOHMf?P~)vf`0
zc5SkB-Yi<`0eCbZnhu<y*Px%(=g<4+>4qSf2}bv0AkG8)u@8SQJPKk#5)hPQ4fq%A
zLI(VTnGVlO9Yvx9j#gb>Z{ziEyfY17q9T=p>TL)Zq-JxEPA8+_Gd?U}P(?yCf4Z|9
z+}o^cJ`cdZ<}$1Eo<*xLI}gu74=3(bNPK$}Frw!c!?3ZbR12>*R(wuOudg&?gcfd+
z>U?K4Z|Lkyg(8i};-zE_4xx!4(K8I^Rn{z%L*fuSlzEFPG<p*@UbHd`tJ!S&_5sFc
z#xX4BYRwr<BQdC(QzXpEpC&EoGE|%2@0ohsC8}$!l|mzQYf6#xE7hj-!2ii?>a6^v
zR9CePFARkM<?738{#b6~=n>r^CPUbuCp_2rKFUVF{|z848~I)xfv|W9=p6zo9*Dcz
z0Rt`Q1_0OQh<kt~;J#5<a12m7+utUe4~8VbbHAlj1KaE+NdHrt0h$R|gzLevUFzy^
z3<$!})g6&IilF-VB}4;p^ex+99qV({5K(q^Jx||q`h~h*`>$i%*1l(MT`Z)76&M4V
z6FRug{b<Eo>U?V`1Tmilm0Y$NE`Gi@AhBeZ^((Em*vE-L^E17C{AWl|{rPSRd=xE5
z)sm(~b|Sx#(KD8W3=6ilylI+OV?m9!C5^EgIPL~T_)jj-z`06=^ZHAa*-=Qgl+7q_
z%GgZbbeim=I9fdpQlQYyi_}uM?nd<}QSmc(q;!%k^ToH0sYCm`ytT{^ks2|qS?OrY
zp~yCpAZgCE&aH0P7ire}!6<`v>jD8LEnv=d1?xp9o$D0v7K4U7@B<_ipALu!k8!gX
zxV-@O{3#H@0XAw}&&WN$zWyA@ql3f4zQ@y+Ad%<;z&<{pZyY3uhkAS8SJy=1{qxj3
z$vjlgHc{SCq=*%we`*+eWHe&*h-p8XoHXWxK`ab~$KBJfq&@fv>xcd-_TuN_AHBw&
zS*XGI4Ibig8fMcJwY5E^W+T_|*%ANs`FDFZ-V-A{RvTv*0ebo*tI@h#I2Nwqw7?F<
zzI@Z${G|;nwxEkw???`-e4j;R%4>c=L^Ev{>IDU$)385F2;AXRbG7ZHTtTOzqId0|
z9?EIa_9__hmn=OTC1b+w9IeGN({xsSo1z`tEGD5%gErBQh!HPrf=1V}(y$_L5u1Qf
z&uyj#zH=Zb<u;}+0=}vM8m$gkfo%bpw+k1DjDTb~h{yp*_5oO-!P8t_T}@6(f`OeL
zBq=~9+!r7KNVb~(G4pFzdB5cmMcYLXzL9}8z7_bi%pRRI$^Bu2(@EeXrH_C6<2M%q
zrvisl70?WZ=M(-X>QMHz1>EwZAQ?O@`AM1PpDAc=)JMTMnMCCCA>J`vIP;AtVgxak
za@=GIba6Bb>!OD`@dz}k@26^k;FL2s8O1)x7VCM|v+^=U7gG{%fIo4Ro=FN>cE@DQ
zHN}#${xobCXLI-!?Ocs^Rs@T;6KAXF)C>Qkb61aXsR*}GPPXF8kDI4!$D)~%9js|6
z%_MjIM)ir~j)}b14_aR^%Oc+G5|miZU?6ZB1LccR6}E6ZaydgSmKyD@oX+YZ!xa=Y
z`ac#alzzyPef#nEq(wh%*#-?$>$~Um7x<1`jxr0vIKN0<p{Y)7I<{GSVRN5AXLo;n
zkE%LbH3RX&TCHRudr0z0=?DjIgx&aZEh2FgO=~y<-z;;%Z{kruj;WNDkc<y!72&#y
zBPt4mzTphfodV_f_`QB&XrRrzfmiUzP%Zx9vLP?OzBzHm?m&M950h#F&*4h11ZMs-
zYr#09h5jy!yW|m50gw%5MzB8di=i{SCfQ@m{rxpL$v`FXud9lybKi6!HPPB&c9H~b
z+u}UWqy{uXbN2+=pH=)p3HNY7DbO}0H$UbK6Rf1Zlc@OZGWh+>DDN(fDB~C0{rmBJ
zukS7rLvq&yykq4BwVMgp(Mna7?De1Po2(1oWwh+2%?*DSjA3Ngt&KVd6CtCQvx7GI
z)LxY)J;a0!q0+PUm@HWJ-&r`O4kz5#Syr8*7I!+VA`NW(^jL#=De)1(>`u1CfDpR3
z{h<=ZRj}Fai;&LyTw0Wvs59%Rtae+_a<%$m9jjTUc<{N}m?r$hkV_Tu&(~<{`GqN|
zpS$AiGka?qZ#RXIe>vC=EGeOoxfv#|$A+OGnEjf+N#-+0Olt9Weyzbz6$s_Qw3KEP
zpw)WqARqnCPZ8H+A3X-cu#1-O1#f26xg&2;5e8wS8Ad84gX8uaV^y^P+Q-dC_t&4F
zK(b>F_4Qz@9hlqvsPy`Vv@f7MlV=YwoI64s{8jenv#)zxvtd?Con+M2Ca#)@q{yRI
zEPIR1L;X^PjTcXtiLIX!oT2XXV#z+xMdKHfh2lXa6P}6HbE$|I3wcZt$nrO}#gbVp
zc{wmP{Gs!IXCHQ-(LZ#fPmpRL*+k|wM>#TLA*tyn`c}@#3-+HEN%ky{)U)&{XWnWy
zvc*o&6z`7j6Q<yodM;XjMKl=1A1!Uu$r7S=x@G6pSp?SOC7bZi+ZJ}NeEGwjnb9nk
znzU(M3ogZy?yq5y3ypF2@I0X27o`%WdBsh84YEmG^!0W#$zR4Qak+^`;f^AUA_R}+
ze^m5|Gi-;<6%NQVY@_5&jzZotKp7Ytnen$6*fNdp=ZXfr?O`+*edIUq(0_+#gv-=-
zGv5%JHjI$U7m;~Vqp3ncCCzJUsH9MBbNLz8c(*?+#QDp}MLUrjHg;$VTF6NJE>7S0
zI<sqx7@^nGHD39V4pO~JI}VvZ!X<hp9ZXi_<7t8rH4wX9ZeW}CV=$Thn5)<r3NQm-
zXerm#M}8t0(aaxiGOY<5#G^D#9Bnh^e8_5ZVLc@19osWreq{WI%j_a&IGi0Tquhhe
z%}t!XQARW7?UR5xJ5?v#OEPkTAnS5xQK>qwb+uhJAAT!M5BGgV6czopdi9Fmgh}{Z
zG6S|xm=2FegkBzwe--dxh}6GBAXkuF9>+9dOf5cq=&jfPjy>W6q2VaTera03p~e5I
zL|Ua$_Ov<CEH~L!GgPW1XXVIQKP<0~X`j%883~5qb(<v(AY?TxzFBMucmI@^x3pQ>
zvI8okfcg}95BOYoxwy^`$23VWe8xX(0oXgc*tt~$De!V^5r~S43R70ithec=Vg~oN
z^tCb_lJTr9+2;M^^2W^BpO8Bi`P$)Z`daF4W*{u6TdjDOm~o$>{xFf(g>kqi(WW8o
z7n>V_@fyb&nRoATWk>#SmfhaACYr#|7^^LW_VAhdv!}vdymwo!j(GC)`?>TIs-saB
zzS)a3?;UOTHXnXzqL7+HlZ^jVvWpQ<#Fru5F09nle#X%&?W|Cr(CV-3g3b=9&+#aF
zK)+xvQRf5v!Jh(jJVVvcYUl;;+NtB?&9dDfG>vQWUR`e%Nhb+y)Ntk|P8{}pUXrSd
zFxypydkEo0?7BE?!=n>MRAy;nY9RL0gV`|FnmqmBI3aRDkzIHc3TZ&dY_qvI(=y+0
zF|lo-mnOCQEA@(bGW_36s9HLFe?mr*2#j!sgwQ)XHuL%B-?|<8q~NnyMSuKV&>|dx
zsuF4B$RKXlr>fc6p;xi7mL6}{J~NqOsDH@u)IG;_m^K{!rIR0hy=lKcTN;md<8S1?
z1!aQI=9ny;m+ZsB+j^!zI7|xOUuJ#js=S>f{C>(7oQ#3)3dp=`qxt=yEd0}MqvbFh
zMDAyR^#Ppk>Jb5WfP-f5XTBl<z1@4-q>%NVs6~ZD&e1`0f~CJZH|w!Oyw8N2>Jx1+
zcCfz4IEjez_Bdm6LiMws8<gpd`s^We7(5D8qnKKjdeA94mRvXBPB7;xc6RAJxP6<1
z{K3X2+nWSWpNSh`_b`j`rltt70qX=Y>SnD8$k$Yiz{@igJ)`E`N|a;+4394BjrMw6
z<Z+uK?utiGB40$$h^qWLXhIF1aXuWjVk!P^ft&J_l|>@^M53sI$iXjPlQQWLZ;Ua>
zn^-+Xo))b`@a%gTwz2QoZ%yLV1ZO`zC$%@ip$2z9abo+N?Jt9Vpe!NFsCz45NKG&4
zR`$pLU(GCU-<I540b?NmWqbu@e7W0CB^M;Yr9d6SG>P-PJU*)->N;t8j1dv;yFl^H
zT?KGX1Vz5VdUQ6I3v==$Ll0{|JwPL1`lAx-Sub!JqbFtb@QSKCspUhj;C?bz0k*u7
zl>MI|TKN>!EFRMISAK7pJlrSD?O4v#dfuaQve6#jn>;MJ!b`Nj;He8fU_SpA*FDp>
zDR++`Mz~seF1y4=vp&(e;B@eN-F#7E(2jz#qpC`eh<H%Qo>Jcva|%o+L}9!ojX-2!
zsO3k?gR!N{B`DrW5C>AcXfBjxF5VmQQ5|mI<05s{t|z4vY!FZoRL!1wbDU==@~upS
ziN8S4&QkQyQYYGNa?Hbf_+_EYtN9nd-|W%2N-50|AOAsfKD%^I+Auzju`_$i?-%Fq
zuW3pxSjq!^PkX+O5FJ6MsrUldoI*)<J9qPZuE5<M7CjQMv@NVeX+A)XW!TUAyefMe
zunxcMwgU2gez~PXz(K2oXeagK&LM45YF+=8y<EX$`uc2BI=6m&Cymt}JP0qEM=u}2
z#pxx+*3&gk2R-qrO?1-ok3{j)M<KDkJ)fCMak7!co)S#xK{Rab<ME3lPlGL*t7P+s
z#H^+kC^rfMJ%3R^;-VP&H26ByY9;7Ceb`J;)BP&cLx#`x@yLJK>a#>9dWmelfcEp{
zG+ZPE1)bc4fJk;Dg7SF3>dDzkSP{9@lZ;V|W0yz|RSZJPnoxQQ@@x&$S4-184Rmp}
zao7@Sjqklt6j1alMgTqGq_qQu+hZ-;<MS3%kT<C8h;3H+f@P?eCW!=|WR6T{;^2`M
zK<)r#1YNhS<i5ZZ7)tBd10X>lAf171U0qoLumv;VF2{b3({%fQgo%2Vf2G={+QQaj
z5w6oh)-2u!BYi8z#shgR%OdJ0K29;+E;GYTSe)=no7d@ItB<gHnX|EvFMd&n1(DcE
z$FZ%fqd97_*C4;~XjNzu@&`0#hLk_t{c_(bcH_H7r32ESa4TMt`3(Co!*d$@^9>6j
zULvCNNT*h@f<(~x7o`x;J-_V5<3qC3+jCSK@-aT+bvzEAwZw3Hv<CNBFK(nh{^Ig+
zzV5w0B_hm+N0G(7awr4CJe>1kZs^{WD!*xTVAY7wT6Q0fBy-?^JL<&8@!!Mefd=yi
z2`doqMUO(vwFnRO6xHnYKBv)e+slJx(_)>}taxpm>AbO>xxx<k5=X44=cAgF|-
zpoG%hAT8aXQX-|&Al)6(oty6NzH1-9-@W7Bary6z<MC|X{jN3VeC88KRuR12XUzUN
zlz;lHrD0ceS6KSq1PvzrZqg1ao3;dAJ#0?$-Z$9pA}_9HWpO))%XxN})=Z|)@aP>z
z1`zuQHGRK-uO2}jR8NlgvW$s|H0gAzT{$$IqF~3omfvy}|M>$~IGKZqla{=LbQlEj
z05*As^Mo!~18ig*%nyOJHw+AF5&$oX7VW)JsQNIue=;a3d9@l3s5>X%Us2KS&I`lu
z%l<4+nDg`F7!{OH>3NSZ#bYI?QKg_t`6A3%wG*zP;>0f4`)GB~KX@4Mk-K0|;7($#
z#!V7^Hbp;#Y&}jqrRSYfQt|UAtzCd7XeJ*)zF7=g>?nV1?CrcR_IN5S(QSmz@k;8%
z-xGHB!=r}cV~h&VW-JEJx=a)@w)aL%-|NlHbtDH5g|J=hz@i7r%n5uV;Y>1$-1b_`
zs+oz7S>e+QS-&_R6LIImAY`Se+xOEuTAO)KHa%cy2CTO>dP$dpo2=_6sSEMCY`%5~
z^gk2h7Ti`jPpa^|@%{WqY}Z4wE-VR3R{%kRTTNswArO7RzYVlWAv!DZdy9L8Kh<uZ
zs}=HG1>$-1&6)15l``a2trg=jzHgI=G@Yenrx=^18=|xGU7)?FVs0*|%-N&uKxc7k
zbz@jvU8RhcGC|dtM{hkoKZ3ULxM4yewVy;evz?D=5WKE?#86ub3CafWcCqU<Eq<2N
z6MJtO<DNk`$I)^0YLBwwwT4}x&(d6c_B8%z3|hsSmp0Y#*mO8R+Y!CEly<O%J`E+l
zA0B^)eQf>yiY*-PI2QZR%KF$MZZySkIJK$IB+0jAc8oUGcQHI}acCjL)xyG@{E;GT
zC*VIUDA*fPpQ9gR7()CyY{SQLel*{+DRF)~z{l-nlb%B35tA_Id^Zl(eDKgHOP?}D
zLNq$oD%#<omYA#trszOb&IWNO$)OmRd)+?ttPq1XTXV^Kl`7tZyw>-PE9B;r8{g@d
zZ5dq;Lnb3hCG9_k?8BK~I}Q?Zn*F_dB_eidH+83ZJ|PeT-=%Jr;0~fy!gkw7UWGka
zfz)oERbKDe8v4Wr%rPWNJbrq;EU7mmwfVdBibG`~6M?RA2p7}HBMI7rpob9a>Ag3;
z%i-O+b*R#&7Az9Z;orF-OS)JFxe-f$t$T?r)ii?b2BX^k_dBCqG>>Wu=lm$4%Dg3b
z;a&YUS5?pOdqGyo#W!@j8AXUhvf<$QhC$+h@8Yj)s>~*O?-ml#%xqE_*XNr}+vZEy
zLnAkZ8>n_j+-F!g-;*_P<JhT`eQ9?Ey#m8NH{*FoQ2NP2)RbrH$(^~?&2QflV|c(2
zXsq2YyluH`>l+okmMESr!@$pwhTOjYU|-({!2Jb^C!kw_;|SqgwJfC#Kpq8jfw#D!
z?Zrj_w}O*diu9)ehXtO!1?b~DLv(wwNU0(J5IyEYIhD}Q%}m^To$>FTm-9~A6zfi7
zDb5g_M^ZNiUZq9Gw^J2~hhQUC;9Je_xH;XO7zXr^8qZq}7Ch}h-%cJ}yXG*V5y^ly
zZ+7uG4N%8^Wi#t9v_%LteB$R*S!L55zC1>*%&gq(A4IXVmmNtIx<v7(5WQt&?Zm}Q
z=Sc{Z#)&<8?UcXUrI{i^*38y)dW91Fv<57Ucimm(SiDioA9CH9um*YG$p$XE!1NKA
zMMU!UC3ACga0s}d_<))TcXz7UNPh!7l+MPr0Wu<aX`DTd`izG1zws;+9V(?z+GvI?
z1!D-=zni$5eUXNm9>swrUJ<u(#}=ZaM<`6|KREJO(tACtOzl0b`;&g`s;Z|txzaKo
zxUvSczmnZ|&jUv_30taKIMSR?8?Q~Ty22!@pVIkt21X%dGp-@Kd4#|05j;y#DZ@u(
z<XoNz;b<VS=P?iw;Qi5toI!gCaCDFnItLIjfSlU|qJv1IpMdlYk1+yH48V{O?5zOL
z+YGP4_x7j@zKjLpJ;m8U;pW6xN4swF&Dax@*N<Ot4xJ6zduKNURAkl9LxnR!tBx2J
zJZ!_ZaowG(9crhL9L5mN8AQby<3F-oBHi&Hedyha)Bbr=btSB$>3zpr;k%544S727
z+_qi&3{7hn(z*S-Rq?A64hJ*l%ipVGqRk&7As1+=^JR3!pYlKR4B0a6O5WjQ)4_1!
zl5sx_clm2>$FkDVob$Z?h~!JLICj{!!qbg7WacK;U+2$jpQKQ$Ai&mBqO7IfLgL-p
zxB8nSEhiA<y*-GXjcF0?Qhf&r?j<E~vHg6ty(w@XsCC{kL#zQ$1GptEc%A&U-2b@J
z?EW7#I*(jjymTp}tW0d*d`3ex;0WVn^>C5q^SW6+kLlStUC@loVDL-kcJTOS(iFeH
zIUzgbo&ERB=v}>(pSYJ#sQ$~ArFg}o|HB2~@P>F8XH7#EkVM{|m!e&xlw;cnS=c#=
z<}DII_!JJ&<uX<^?4<@J9qcf|IL-#mUsOkW?`wV>*2%^RsBfixE^-LY)gr(nfmsuQ
zk8^<dVVI;|g@sAP7O-TDAmazr=`M*wVDSXJOrC?$;eCG!zBRKc(gt`7yUE=gG~{P&
zc+eYh?h;qG@mT2^-x;GTLCX^=9D%5NnFKXc%V~ym92OJQp;N3aZj^tfd-^I!D2@Dn
z3Ae<MuJGxU??P0)W;cTKV9ospgtEM@zDwfS9WZfO6l3zft=E*GLk~LIIsBQHWpviE
zWJ@RFXqSpM29fW2Sr&QC$ZWa>ZRBkiaIv%a87gVZ{G(nxyezI6{W4S0Yat?Ih8nIM
z05on90LA_)s<i@h5zw{=)xFZzK3Hs$l!pEK`4hN~cKQ|;6p%r^+yGh$w_;Uws^x{j
z$AD6BH>%ja^7Hsun@#$&8ui&KBqn!1sJLrojNrU-ZV4<w25A(6plp@aH^SpQ>9eQ)
z(E%LTXdMe8W-TH*dl9lEY79emm2xfu`_JR5nyZ}ZM|=a`;#B7%JDF_>C0`?lj|X8I
zVj$d<53P-|9A*CC_|97@PiPk-Dr|;!8nxEpQO+XF;w^I6nF8$j^qq#~;ml%b>Pz75
z2e=H2z@8FZ8Z^NEBN&GQxE-WjR)Xay+*%#PVv7Nk_1m{^7M`Ru|6tQY(ZjM(fm0)S
z2v^PmqwHqR`ZwEcXbYb+&F8}wDxd1pzwI>jzXd>qtH+-tCOeZOD>j2)+CM|~rnKX8
zWraV)bvU?h8SCvImUnBNj8uB0e$Xk>M}LZ;BpgUoy3+R)$*5{rSOeGOG}}ATxq*x7
z@#VN8#efn-H;p0*e|-<{G!@w#i&DLTga0ff7)vnUwZCyyOuG2zUy2|1a)!d9QdK5B
zPE)iWb)jElaSaeQnMU_KF=qV_@;Q)h?NC_WQ;(ChX!<5+f-ArNY>y14$AO>u?#{3o
z?MxPFPG6L<5ak{ej5<Ix0>kYPF!EJ`og5#-laP&DK7nN!Q0hd6PZb(A)Ph|RSPiL_
zTmaw0hEvUUt1ElIe+|IC{{}6Rl1WZ|AjOetV{RVRF6t^qEe7T3x7nTkyaPPax3rGI
zS2n9JS0jQ#A5mdFM!)2w)#$M|eD)3RRc~!NwJKRh{kQa-x(Gta`6Z4e3I^lU>jCGE
z9QMbrE%I)<rT0)au@j)*BgMVaa;5zUoXYqqZ@>SDLyeFt(S|1bIiFp&Ee9PjN8*<j
zwxr7|HFb)Xi}E|@M?ThFfeq1iJK*MGhFx_a#uB=zFk;;9&+BgSets17zo{x}<byjO
zDK^>@l+d3{(d-4X6s!KYWY=mq1WQZ!g|}m52t+XfqNPq)774-)c@kjk5)E(or2R1{
zmLvIC!=D2?vr$yKcyS;)XA7NufzVhr+Z)FP2|Fvq!?|L4%z56qH8+|-fc{XnyE?n+
z(Jo25z*`;@lmRBovartr?@7R&U}qOfLFsQR_rEs|&*Rbkj~sDa_qZ%A@#bja9dWKG
zi2rbj-FP}w=e5PgP{8ac`6^8=aRcO0*2d7vvKi7J6W;!Fzu_4a;o?@g3O%$dbOhYl
zqzNtq!-0~+N2!vww{N*ve88rWkk)^Lh>9(r(4zgaA!d5s3)(G=O5K5Aj%9#^t(<4%
zOoiyP$Jd2O+~IeHYNu|c5q-M;Z1HzEr6mqkG65Rm0x6yJ1rijAXYR>Knrbt&2<p8w
z0fE@J<!jX`PR#&Jpfmbn;RGZYf`nEbAY%hs1`)tG0^Ez=I{x!7QBhHWzWEtSKYYbZ
zqHl+ICjeaKfeym=?)nV8ZV@HF?ESQ|;9#oS_K3guVeXG}qt0R}2(@Z|`R!Aik{?~V
zUp#T~$M>)tvwN6(QpG>=j5)F0@O@ICRc;p4p(ROjWH?q5{7r-}cGka8nF+<qd?bN_
zeKe%lzj7O)=b4;QUsJP-H)Z@)tuo}>^y{1P{8GueCTkI4QO&Nb^Vj=3n@7L+XMa*V
z^X|}d7bZZ=U=8ya8Np@TcNa?Xrru450<SOni_{APWV2U5&~EkeXLbT#+u1*bpqhaV
zp<t(K2J~*)JY#RRs@P!{L`^ZugB8~mC~pv8vm)SJZT}xyQi^uk9N!mS$FS;v7)MAN
zfb+QCqGRx+i~JEOJr@7o8HYEOsQ<;;-cGvL9iBsqW0<tALR8+DQMcn&6J=39>PrMZ
z{@NR&Ph9>sh%~;WtW;s9c-!B449Nsbn0(!JEr%8iCidb^2z_IC5Yb)ll$yhosct4M
zk+-yK^PEH>U(n7M<e_hsX@t9Hm245*4vY_xoL=`$zm4J3Use8i?x&99{B;%iyTjpe
zRzR^uO<qw+cUBW3lKAdXh|dc|!?4&3x;nh8(0A*^Ix@af?hBFcY~3}Yu}gZzS5c3P
z!wiYhlgQ$@rHb-pMER~Kf4C27kvlz3ngUUcsQ@ztJ~7ci0t56{VEudvqAlFO;uH$_
z$6#Yh3T$WKez6~?`GCeK(8WMnx&<ClB8uVz7}j8${Y}W$5VX6=oNp#h#Si}-<8!)G
z6jES};dA;lF5DB6PORd`yP9CGQc$DeJ-=WA!Oi-8!?QMFqAy{#QX5Jopzw@JnuQe2
zc>s37_s1j^XD`JzzkL5snZD=IY@Svb50;Y;G3!F-U2O#^JwIXu0j|=^d`Xis=IU|v
z<b)7>oH3<K<*dn1Hom31KQX%~TZeELdoe`c%440`m-r@-dx!=oa|YIvya@Y<F06u<
zxrk+;x2O{xkn^^tw9)%ENBTR@keW57ZdBJ8L!@*%rVbmyXB(Xb{b%W0eFG$nz8nw2
zN9ewiG47K-l$#M6{XsMS(@Ju~R}S)@w~kRU{i_(>xeh*fMZSBW2n5(Ou(@(tsGrHv
z29FB(z1r=Tc0Kvo)c|HuxSsI;?yums;2IhlhK4o~BEWKy#tr5Vmb2uhKEVA3wAOpT
z3~6w1&=ss~TIfdo*iLJuggAKR{fzi@MpA{tyvamlo_$U?c_zZeQZXPsJzOS}VzMYg
z`dW%InmuNCZAZrAoZcmNv$N%R#w4MLU+b|x?q^75I0P3nyBKn^;a)2y5mr{_;k~!%
z$l&+>&2O`X@0!rbS$~Ig2ji;}Sw!E0clp|gAKQBeOKbZgLlFo$`uRIzQ)6)*v$MDV
z6dhrj)a+*2+N{3Q$7VBZOB;8f<kP}NLV{?o(pR4@Te+^;(p$!u0-t)|^lbow2yf0S
zvG~<sgh9*ypXRIzXbFMsB#2Lrq?V}t{re-ZI0tPSTw@D-SAhttJXaZJ00E!{A>!4k
z2NUbH&pA7nVVc)ht#nR~%6AcpFs8o{rTUyN5(l!3*Y1t<E{2!7$17E-caK(j*qO&6
zY1;X@lFtPE9NtQ(?sXmT|6%T!k_`}?r!{SO|EPKP-Qxxvi@!wg<wrv0f||7juRjqa
zVIEGj;P+&C=3Gv}G(OcfDz9VldFN0VSMD{ilQ-@L$TD|q?BR%>S132-jfFVoB12`H
zTqHt*I3ABTcu^0b4AKj=9!+vjLq#MJxXV7KG92p>Y{?=R1Rw-wAq>7`&{HDs<*x}y
zZXBTdYmT_ioQ6+MyJ>rq<UCNE930z4zTOKNO63_Uth$wfW;Kn?nj5Vq5<lxQu$<KX
z@LQ+!E%1Z_21j(~hUlQN1<VI^yi3rm1BjB$G)i=v#Z(pC`8L4U6PO`Qk(L9=8nD!I
zIart{)dKEfFJB6{?$3>?A+K4MkqjWi_tA%V9tP%6@8KWfUxmCOj(YT$>&+qkZpks{
z&ilR$Ml1)Uv0S7w+@{;R__Vd8k3ML9qcgz5*4^OU8+$W_p5j`V_gj&`@dGyxBrAkH
zr04mN)`dHDBN6IqUVucx^jDthG+Djy%&(#8_W8gn1&!i|#2$z(@(yC7ZuGAXM4;O&
zqgufDhFfdbutxNWwNegt^*4wK&5R5m+QK479L3BbJu-AJyBRIz=i)_C+D|yVVdiIZ
zg0>YKNLX3gODXU+MpEAO1Q&gd#g^uGHa={<7e!WUuug4)=_n1^!AIfg$zF>QE#{_(
zg%<>LAi+39x-Y!B<%k=@CXgQhrRr`|Q4&}{&RlKeg?5Z#W&xi2HSqi>@wz(Bk`1u|
zDVt?w4j|cG^0EaN*fIe9Zx!gnL6^#XdzicJ4?m^<Emp|}zOAC9TL^{~Nw;E$YqwdM
zYbIg8ua-W>ewUv)`V~PIyL(VQ%&d{kLi0A_;K^A7j5A=BOwa-|Jw>sKmcKkm?QbF7
z)~~A{#jl;qx@@^bQfmt2bCFufuvEI@d%$|WSw5>#cs=HQGSAq|1>O|dHu7I<iw{HU
zS(4s|PIlQ*JniG@9K-26^dvvsG<YBx@yE*E-0}OY4ZoNrU8(NaI>=$dhsly63uh|9
z$B`(W9lZ#)xGcX}Xq0T6E5C6bjw|=PyJdJ*9Hj8$qBJhKJmmh_%;0S>Qlr|{js!s|
zS||d}2ptc4I)YKyi)pG&X|er5Zd4n&Wx%8X=KUj}&x%$6-ea$e4gX?#0o8OMCLuA0
zP6=4v0QDsp)T|fkuK*A^56mOg)CLOj(yxI|>4-Q2-n&8~k>-(Yqj|cHxe@h|@w-n{
z5e>xUh#e@VqI^WRc&a|OkIBNqI%2)a<9w@kvs;$<oKaYW)%T{tr%?U$_fhQLp$nsU
zq;o1o9i+!H5G)Ce+HEoTBrkngIQ9=BxI;ACqvKfn>y+h8EtfrL?d?xJKBAi({VDq7
zx#9!I5&DY{mmHf+Xt3FU&X@<~e#9jFVH#P3H!3s_G0`TZ*>N^s*Ev-R@fM4etLP-d
znK%RIgB|%01|#IMiDsT7)kk7ldULkXN0}*Yh>)KzMxk8B$rfizch`#<q?4mjw6dZY
z)jMV9+(Q)oxRC@<euOpO{70a$5q%fX*8Cqh84y18l-TWk0%L|pj!-pZ{r(Z_$@&}7
zf#b0XNbuc8hEVE0YCQ6iLW-NJXX`T8oR}P~x!UcC${xOyn4<b>uvK_PUjI^YF;(Aa
z&%D<~1qv8ytYS@a5i{~pBslpal<A!$dy^=}+|XiPBZ{zIcM!V1>#Z#&_G3Jmlf<<x
zVjlEwFYTcy&STv=8FJ0t%8`9nwP#e1m*l9a=m(V=)=CeNUxW&$AC2K-XEGqPP<6z5
z&C^c?Tgd$tA*)Tif(A+-w27G=J4H1+{%fCsdPE!g1H3Pp=HfDTVht#hA7Txu=F=c5
zX^un6;pc&MFE$&c?elK6x5k$;6b!^^M1L(M_J%Lx^jewNCH5Cml$nu)*oI|38yXUo
zwcJy^MtUOh{kWNsgFUAwP$B-hxwmulg$cVihT{!V`-@qlf(70bWm+*)npC86k=0p*
z#y7&q30CBX9ev!N7q(A{mva%n<kw0h2$9la$Y@K%6kFU(BRLX+hKtp2``-Gp!O!Z+
zn39B~OhzqT#$SYk?cfQ?kk4#~-;Mu1>kB-u@Mt<~cavdwof}Al&*$D86uG8LPm=9V
z>TGo(P`L~H9}$XLhI@r`sZ3oR=^`;S-j7|r59Z>zB$TEX5>Y!zk&q#zv;0;2Do#f0
zd~w(9wZ9-s`xvxR7=aKH10i=uD|lB`6BNFyi`b3!oB-OA*_*kR*qUR$>W=6U?3J=+
z`%=aHvRS5sHJ?I}woLKIWah@p<m6w)rjKB6h}LhONrMRGg;ydwne&Kc8s0WLmKcYI
zn@UPCr+S^^H{@@BI3qVs7*l%sDY82BnWn7b-=P+TKcC`n=8;&9eJC-jg{a7yKVur}
z)>_QbK{kpQUO@=g-S&=oFQyf(P$14Ig{D}6;sc8GN|&c|l<VHiD-Dej5I2RPE)9=S
z1tBe94|y$Ga|BOzVa@vn9JS-3;uZe)WLVyIr7}vhQM5g#4*AX5C9jO>wa2tmaG2cK
zFSu%u)45dj2<Z!(8L1>k=5rcJgN%N;1mB_$2S-oyi7wWMBo3#Ul+D7rsXFXxh&v6N
zB~)S;KRx3!<`2jh=p5O=U-navY;+11;f_6homW}A`K3TnG&U1!So#S^`5kNj*ET4{
zbX;{ShxeuB&<B%Eg-(Pq0Y5rqL5yrVM&sUEiK}EsiYR2FOpq5O@T&Q~@5_@X-ySED
zufAqenPu^9P>EDspe>knKu%3?9slc#=3VAYC3iE!g?BCBM`U1#<@-U`Dq-fUNPftM
zFJxyy!4K4k$Hc?~U!Lv&#$i<b5wK~5$2Wu09lPuT@0Eq+kkgTAa;LaE%B8<@9a(=r
z4KDSlF8QEL+a^immxaH=q4wlWtD9TOzFPQ8mbZC%<(+KdQ|(VZ`R@;(f61Yk4`tZ3
zDFXW(lZTkj6Z<H((S@uRF}akNfYq1=vV%y#mjFTqfm^8WQMi#805Jj2QF7}?JaF!}
zjBr2sD+D)NOioUQXUl+I3vh(*rw4t`xAHPTPgbR#0fi?O0){HUnE*xuzTd!T=(Poi
zdGWnnp@9oaP5T!bJV7RdFtGCkfkg!VU{5^&90^iE1fs=ICKxZCuw!_IckcTI1jw!g
zh);c(BB{{k`%=*pFo9!8Dp_9anvqV4E-1|B>`Oz=Mapi{uYdY0X#n<=x|}KMjRUHz
zvb+3AOqn@DR7qV81i~9~AJdsZ-Bqp)i41>{t#AiJmwXmD+5{4VfQ}o;w0Jucl9I?x
z8-W`p7zp2jI2Q0r!BgqM=Zxe9pS*8yP^dG4LTDd^X#-cy3f^4c+|mVHIjCIcj=<0u
z1!keGk(|yHKn~s6{#6WJ4rSPM0z?uJ(6jsbF?+4cp6L6CS0h@K|IywinzhhuE=!4y
zocrYt+2wi8c?>b`?t?R!W?Oa`2|2V$d6W=qmrW)R+*gD$J6XwFg>k*&5iXhujopIA
z_=Qr*tz8|dDEa(OB`o%PoV!IqNTeh9-zQuz0G%0#zW@;C`+t04!A=g{vL7WSCBTBL
zGX<d2U@99SJ!!?_?gxQ1xw-EF*${3nLf8c#*YN#~z`-<WLo@9MgyGk}b?gTvSW`(3
z8gFa>YZ3G^k-U>ezTP0JXT3-e1&+yglWRcUFkQdm)<^l3FiOYSgB*Req*_smi9~Go
zDY27fsKL_#Tf{$4!u^UDvw*`oLd4<mrtBR32BxMa`>cdaD&kn8pC7?;(jliBF(y4X
zVF$k7tj<KpPEh*XY2*lE6wj4Wsx-s-p_C6{u$(Cw8UF*Fm{flOJb+o)ei=;XGgZYn
z4!~lt3ogWje>%Xlgu~Qz9%ojjs^#zhUcO-0F7jH9RfO9u0w%RM*lhwzkJ`t<zki?a
z!b7Bf{$w-l2Y=N>k-;qRZZTB_y9oej1NRodTy=1C+=@{(_@D!?PD64C<6)SqrW?BZ
zPS2zrup}o=u7AS5AJq@o5&M&3xWnA#Z47(mKbbjHN2j@oVQxoQJN{lkpBEj~DdAqW
zuK5|-w#+~ksHNwAI&#FijPcC>6F};y(K54HpD_RUqy}qCfuf}FBx&ze?mqLp#(%S*
z7Wy-!be!EX&f+(&^7<e}h`M?05$HY*JhpPc=q(IT7)!Wl4!mc=KmY-RUmGQDkYD-v
z!YdK{@OB>XOfvwnxgb9uKD&cee6;X#D0mDnwY3Mo3UTAB;PSeFG2XQ6$^8JJ>+Td*
zd7SUofLrL{D&qm<DXD|80OU{QR2Z4d{YM7;AjQ;W`{l<Tn$c;x0=Zsc>#cS53wkD6
z%0xRrG%<MaTE_kCwo!VTP|%1=Ht$^M$@i&w#_jw(s#A|hu;(cY*j<{?A#`iX5(a2F
ziH2{S$w%60+nJI%Ro9jo(uR6q6el3`Innspl`@0=4*&aBgC?~*C^I1X2_E|dn6)WW
zBfwJv#6#U}Yd7(Ag5Tr;1i;#Ya|&FE!1%}yf@1-<7Qn^eDp~(sKJZ1vaUJZt0p@U%
z9Ss$YWwVXuGN_#cK~jKH58cks7IodHybH=fR||qS<uJC>q^zu%-L0-xSqp|@PQ@Zi
z`i9sKV~)`m0c52Z&zPCbsZi7;Gi@aO-NeYGGtsFHSx>7)i`BkJ34NK(I!$po7C#Zo
zVJ>0WSQ9oMRd%nwUlnY4s$aXbhQmaoX|#nXR04tE1g$xA&=JT%XOi%5EH$%SOZ@+#
zu@e5tWjbC$DG|@*IvOJ=-Qy%$&O>E3-}R9p^YUI>NH-P|3PK!mjx}zBT{`LXq&Shg
zJ25@<ep53RBfrl>ANm#k&HT98jjec-^mhRGk);wwS`7V1<P7}@sb{*Hd^HzQsq$@8
z<2}JUS(!MY?&4j-Rwl3L%F|M@E@MF%5B^J(>{H@R0BNGcJRiZK*9}zg8iJ8-AB0@0
zw2KIvahGjYqV0`sc}o62e>DsxeZr0?1xF<re>b4O2?<w8Sati!l;<$T@R3?(F`xIX
z+Y>uK+w{hn;9rQB^GpItsCwi~)XUPQBcb0I<FsaPHaIgH`+rkqYhDI$NAlo|upH$R
zPZ`HY%v;CV`aMB5*OnN9?Ykkx5?%rYve<t03iwWo3kob38}C4Xk1Mc`oTdTtv7OJK
zAKfbw2LJao75peK5lR@pu~Ni~9O~~3Xn!z3WC}#@_Ei5x;Dazh*A*X4cb4R-?>v5#
zn}$r|YiqvRdd5Q^5Z(4+-Z$Zrf&V=GG!=71&upNj<wZeC+kEDeh;GbVreyuM5$>Qi
z;sQ(%T=J@EqGzBE{E-CH-x>(dT5qO3{O@J@Amy-$LLI8IwPVs4+xTuZ)GKcCrEAA5
zLxiEh%O6w(*l%eQ2tK-@LgfmX{;qpCuSVmT9#|;*@h8o}WRt|DDLD5?=#nFxh_?fZ
z?HU9ej%t3?oi^m9uxbpYBkC6)I(dlkY;^FU8%95UmU`tQp$*d?a*lazxT+uq?H=)r
zl{eXVj;Sm9hCm0LW3cW5*L+-ZvU!9EaEuOXXab%9@Ou*!dmyxef>H>`VvPWEB7CBH
z2`C|8ygh}NIlzS!>cj>rw4M`}|FN0okTV*!9T9N7Ued<liF~abY)fXxHVP3zT)-lu
zq;|k33`2*qi_={*MvD{p+c-UvSAVlv>EjF#CVQQnjx1bJ<8Dn#H~HHTuD0&;-{|?N
zaXEJJ<-@V^(XtiPm+*@xmG9kJZ!K0KchhYd=qkdAIk$nZ9Gv0v{rOpN*1`D(&beve
z$^!*zAG9pMILb;NqXE3}UI>mb<dS3_qct9s^x`<q*`=ucZruisE1Q&Ao}cXoN?2FP
z)uqruU1=DDA|(bz7CuSWbR$=l5Z`;4!igeg(zj<uG-Y>C(J4Q59*H`(*BFPSxs_4D
zFROStCb(a}5-dC2q2%=U-LKgIHdJhww*a&|1P`g{bVQ{h2f!*IEDcPqz#;7h`2BdE
zZJ%|J7?Hvi50uNuYB0=FgSMcoYmL8A(B`?0tjYJIlQ>C4R6fs5e59|AC(Vjap;Byd
zCWGa&D>9RbJm~$AE@a2xGK54mQ<#D(^+rdh8ju6zFeE^rqoLb+s`=;ea7z`SHUQ%@
zXu=|SK_9RWY_dQ-w1$^yyHH$V|H+_U=fI^9L<@HWc~MqL8$PDz874-E^Ib(7-{dHq
zF$1tiZ>ID@`8b~2KC}lNowS)+GL(AUe5H6bB>gc@I#_xo#>6P!n+`cdv_uG7DJ&k@
z>raSuit?|Pm`1xlJnBZGR_;1~WHY+UpBSl86lk(O*z`JM(8%6tsZe?T&TY@tKCj;V
z9`4}a0QRZFpyGgs^gNYs4HyDj(+A!IC)hUtLt$fM1EPq@Kh|%+;{qQ&^y$b?8Fkyk
z{m~7k`=PaV+Uicy9Ivj|n$$860%$QP@g+i^ng`7A6CafXhtJ`BSj=ox_2<ucB3>`*
zmX|LnP_?u*QhPhDD<SZz`-A@s9%a&ur-wOASgM?)0rPBJP@thha5zC!q0h!tb+AQ|
z>E0qv)v%Z)H7B$eM)8pB8=NTT^kapSO_K0-H0DYskIXNpP~741HLzQUdjSD=h|ZJ%
zh^Pe!2&$TM2<Kh@E3|lf@Nj?d|5Tvrl_*D)h5yEN1~w#`M0BY4yIG1-+Ik<WXSEip
z-7i~Ix<;+O?vm(-e?15A*Yxp`ToT%iboY(LNKfn!?n$2SNXh9HvA+a|>U;Y?lO6A2
zE6U16^&ft}EHCbFjs!1!MQB@yumcheT24+*7q#auFkYLUqUyo>$D82Gma*O93h0h#
z6K~cvCi2TkMR>F&O|URzcty|Fr1j^7U4}A=6*2QBP(+(~SL}Q7T)q+C>TOa|<8RWb
z?onBK-T;S~(6ojL@89WvbqbILU$wXR#3Irq?jEb`2n97YN2gv&hDjn}8~mm|@5ZM=
zdH^mEz<bpUu&06HljUxs8OA@D|HWGKPT%Y6xZ$@6vLulo;y}?rU^)sL*CPMKyI#33
zseFs?H*W5U;eFep{oX7zD-$z5mgSvVeNSakhESmw1=qeQQ`(oWWQzZX3qbnI3JDwx
zT@+^K*eC5F%`|=%!&6jXBUciX_jKgYREeRGWR}HJO2V)}70<1jOZ@|;$0x(^bOp>#
z+|lPt0hT?p{26=2D+mIFG1@=)^u=(V7TGJ$$$A$pJuj`-I*0J~N~raG)W#j&@?Lce
z<9J7RFoqZ^EIw(!84!R&FErah7mD1NWcurqJuL$__dx(IbaSHc>p}XzMOk-G4{xXV
zzg3y^j2H?3e^k2PfJ(Qw*UNLMMf?m4PiB#^#S%LqI*tL2{o)wt6tA|k8fg8{p|8_N
zgb@g|J)@|ej0FL`hP!UNV9*BRJ&f*@s9hR{O{t8d*ogfXVXI7tS8mPU6*nAS?HNPo
zkZqM<Kpzd}uy*+E4qwatLDoh2kG=qP!`cZZ#NO<hby|5>`9_CQI8k&Edl}}RhyCeq
zabczrYwvZp(gIzak$30)lY3nGU0U18EPfV6`E3MEX-`3FrHCAftuu#7U8L~(Kq3nL
zW9`j~!S5E1H}ymLML`N;bzZI0<Flu95XZWnIV=ma{_|fee_oVXwzA`x_63;RhvL~b
z-JQ3G5rU!vCZsz6=A8jz!ao{K)x66rASVPvsAi_9K6?FoS|-IZ>Nc`0)vZlJC=Pco
zh`G3j<uGEv3=9!he2-BtUg_P)JN7tlW}YY&TgA)K4ZoF3mRmD0EFL>s5=Gn1t_LII
z`ShE7&o2BLDrShvRX64v@uxXuG8#Oy_)2Ct=<`o)1|!Got&oJJWZu*JBAcxz#y!FH
z0tFLv)8D`yDj_NPun2lgQ1#0|#sc`Lp!NX!a=8jGX=!P9_Zr^ye*Qr(m_Iu3z$CR+
zU&j4U+!mQHx7+%=gCbm>;?K;0owOVEv`XF+J)5bwNar!1J!AI*JYhZgEfo50ormo-
zk=6I{@$CzPc<5!xWX)YMXrJ4k(88KEtI<;zur+^#l=1_0g-H!$9arq{U_VEi2`)p1
zc5I2TjjF$TQ35KCv83{^WObSlgtmRY&$v46qby180`6}D>YD}dFTpeyNhxwXW%?nF
z9?XD1B>WtR>_NK>uch_wj;8&ckrbe47`}cj=yAFU?k><W%gx4L{-Zz!5W3x+&`zqC
zv=hnwc7V}MMm{Qu_+}VDRiw76(Cy`f>-E`Khv2y-4w3rn!9so%=&rt=Osh&kN#C?!
zw{S<s-{ZAnrhC6pT&VZZh}>P6)zpgJP3!M4I>pGqk5isi%Xr6oFym!qZc_@+I0L35
z`j9nGzUL@DYrTo^{o?H6eWx#Y>cER_wxO<wdjlSp3My(n0EjI-34H$nhf+xD3nH5d
z**Z4+Fs8%ks)SZOahoFX_JtcxiNW)shDDQRP9zPfC^a1I+X|GtU;N$5GWu!A5DWqO
zO}f(<<)DJ6ICW{zD17%rE7Bjbk9EHcey2aQHy(bD$!F5y9s!CsB@*p(ltwTdbpbbN
zuqYA!7X}SRZjkHefb=l$x(IAHcF-j+;SMj=_A7uUb`F>+Of%{2H2-eEH7x4Fdl$uJ
z+qaXTze7A%9YH|Kss8FwHfM?M&hhYAb2JwxpIW_0JO1Z=8p32lwlu^T&p)B8^c!=j
zb96h-F<Q$d37M|-RKNcOj^!WzvoUDsDjF(_Mn=vMCj(*}5u9`fK^fX91s%fhA62$f
zm1Hg|NuS#ygF5gC?{}K+cK~y39mVHl{qIJ)=ROz-fxDd=@c0HcoSWb@M*d+w`X8t8
zqB&muF|i<nRGA`|h8m33D0vh!3}OFt_mflD3C!i#xUF5gmW1-#wu%|PzdHLe?2Vcc
zjZ={MWxIX&SLWx7hhxja*uMjCMm+NJ?SC@AO?{S_dyk^<QH&Vj5GO{Sm-gJ<-NcwX
znp^07ZV2U(P;uUY1Yr&OLJM_K#J2$138{@el*`Bd$Hx^V?CLg4L`b!3Ul|9cEBKDO
zWM0A|-)5O8BiTD!wUeG$Y9<Kt&v@#7J}vBUC#btGX@;5!!!pDV=W7rQ%S>-$6a0RS
z=cE0xq(EA>bGDSIoUEoQ4&5_|vhG4^u1ngb+oMcf%0G;HW7A(BSy%dd`+QJd%i|N}
ze|5_YCzKtMny>3+a=7uK2fSar`)n@RnbXLRUZP<9>}|30=zSYwwRAg~-g7kOecX6B
zKya2^tu#@Nqf}49{#LvL7^ab=Qx#%}?^>P}^vc5Of_DAR?|KeDjVxpm`pRh%5Ay_=
zlBRi~1639VfLiQ<<pKC!s%mR%L6Zbl=Ji0aB<j4q>Inm*IuLd=0gpCd3;{UWTGJ`b
zU}Li1^x!jdKcd1t4`^+GqX-PXz5o;YOz8l)<r~dizRSB57R4s;>gIC`5&eU1@Gd5_
zdw3+1SePUQ6*;=<$fIT4ikkB3DcvMy#QoaH*lM2=!{mAQy`$$aWH&K2<c*qE=~6j+
zOm!&-Q0NVk0y)iwvYk@e(Dsn2ILouo!jHpF%zVyFV~9}mRm>&sW8U}mZ8${<P+fY(
z=-ZD*Cif({JE`w~a2{RP+7D7n{`F`kYjbSvcL+tCuUUaM8}?r{e08NS2IpCrNvZiT
zx7X>8mHhl+`Ns?}eNj6b4aSU_esh{<`hZi}nF7un&=b&sE*n6Kr+~3%jd2S?*+hMA
zFTo=2(ng>Yu1p5xH*^{=yX7XZ@O-!$^aVtY<CQ2e8$d#3P>7fUn{@zyRoTpcnOaJE
zW1}=y6#iHrzBm3|x-==YfAf7}cf%bPzr)kGoc!4dtcg(`EeADiiyYEndQnOx)8=fc
zO1!IOf;ITz<2cb=ZE+;_w|c$iZ|kJMPu-&X(S?$B;%Ht8QK^&l^Zfa1*}na!i`1$`
zTrB})X*fZ1e-Hm*vQG93-ui^%SL7y8SpeC_9k617Al=JTrV(Ub*@Hv+tEdPBqMpM;
z-~rpx8KjC<SO2HA-UEPX6M)f02hK$);6XTcux9vsu{SGJ+5oO_U>*Q~E+~L**TKtV
zJyXG?k~FjgUJl?_<_>@qHQ}W|3~oX3Z{WbuP2|_E-S_?oO>?iDFjdg!4PpA5#LPfv
zGQwfDE~+C2Wg04@T9waJS)a?j>8SKgU|8ZUySU(?_RnjxoT^cfIC5dpSEp|6#&>u}
z{19Xi>}he3aY1>IPi0{r-_(kCjgY*1^s33UVEyf_ZG*%n+TKn|Q3X-RZ-wsZ^c+>;
zI*%PZx@E^5Nidh1Mv3G?Jk^asvUwM!V}BC}fd>~o4!MBE(Q*es^lI;~cm7KP2PwZe
zqJ0J+q6e^rY3$qaE0~0YTtU7nNC&e5a1eNSiyk|ijSs+KJ4*bxySmhM1ui@8A1;(t
zc@%%eQ8T=f`cb{+dV|BsapbXTxI^2mKOfnGnQ}W9gc#8wOfp54*w6i74nt<HE~FrG
zZpHqQX_2mpW{c@oNT!$Dc3bQ(siF7R4lpXD0CdU`obTp8Nj$H`E1&5cH{=(UQ_&ym
zXt8)?jD(b}(sU~pRw3hKR+UDdj773~Fa`z4^0bFQ-l2XmtCyvGJ6w)0&Ug#ZEm9B(
z3%+lgnzbYloC0(*_q*nj{GH#NMwGzYyfayx!J7-HN}vQP2B?)<jsJw_9XqNkTbO~8
z10bync;=DIj3v-HUTuL~Q=l}5n}UQHWq52C0D6SrZe<SQzgon!xSP%AAZHKK;hP(A
z<Vfp_X>TZfl2$_uYA8f%j@OHfKjn-<nJ_7HymmqZm@~Ni^PdVh0{bW4AZH<HEj1&D
zn=UTLu%B9T>vpV9`fdOhOCfhKU-?U`I4nMle4}c0Xz=bdqnMsFoz4=f&i2u8E{Zev
z7vy(`+m;Q7-!rE}TYam^c!j3X?@?F}(>N=T4d$T>WtG_eA4@FN)k2WTo?FI+)Ffd?
zBc}}*?q;*j7aVQ^nI?0F*D)Bg0N!Z=tocAGJ_7%w|N8a&2uon+K#wKC%pCH0aAS4#
z<*QduH;KURM7Pex8k~?wUN9fY%gX~#>c2fbtel(@dljP*yxRKq9l#~y<ZRN22HYu~
zDS-RMZCHN^cFmtpWwQUn<#dsk-NNJJj_2O|@<qs;_@ezmv}XB&lY#k4aLlrgOXKrF
zYo1kyTGVO)rfihuW*l1V(+HBsjOA;R-mln62A2v#pZ-2zElGZ*LbF_gw{-k5_5)&Y
ztfQ~MRSC9|8g|<{8i{U<*+SE2O$Tztr$OS91Z5mB`)B7Z4hdeaCoUGoeg1=+L#xt>
z(viGE);H!1=Zw$0zbh^H2}zNYM-#`sycUi*YNNTg15aeq&~p!NO`DNnWMFUye^UE%
zBCT2x@NL9YX;{<A$q6_Yh48lw2oAt0f#avq08s;GnNPX7xg{kfO9%M}#re&;@zUSZ
z{Kuq?c}g3l*vM@_M1DOkVur`@^6iSqA%QO2TXczqij)(a;+$T`hPd$*kCLHa^*9Fg
zs)&zVXa4kuwlipyKav`!^XnHi8aQ5mH@Z%oiFa{(Q4veeij-e19fz<+aJKPMJ1hF9
z6!`(C^oF2Af-#M;0Baf-g7+i$o>=u2kl!xG(yci{4Le&{ef}76sG?G&oC>bv1y?x%
z{xQ5YR~Or>_)t{Sx!xShph!$Y0xT8M?K{c9i2=*Ai|tt!xcCX=B)S2w3b6D6T^c-V
zIy&Q_jmGct1tsj|Ch+ixRR80vNOx)i70+aQj7-#(YdlkG9hDOqn;aXC{6x~#U>Wzj
zrZ|Ed;payS+>FRsFmaTQ@wTPwr4b=Q-*3}}4Awt#W+TQk`eYSO#Z>Q=Lz)cA$_H$`
z)P0CCMgI&eDU03WRlm6Jl_osvvC(F&o6cZz*vx+J_se>wng)~p*gT$`W_qiyou={o
z5rJKTQ?m`>mbckW)-m2fSv~4?G2S8GO&!O@7{zL`s;!JgA_n0>Z=Lsf1aFw6A<dET
za<mE4;7GB+iO6aAC#v|@&uk8Jx>-kVhIWinJVs=lx}%Qhtv$AI=rf{=eA5NvrctAi
z0~_=1e?d>SUNxg96{I5Yf4_ec;z#(3+U6niMb(w}kNljtruvWWp=-_CLmAHla(SCv
zJS2L<Ot#5HYf&0P4!^?!a+|VGuP~j}Ey_?+O3Qu)1ILO*&PEE%;h#fd0vK?zP)r9#
ziPT2S@{}<0xgTO-LzFZzj?FrYt#Lpj-6_HC`uVm_olluj&hW*}9>Humo<+@TjdLbz
zFSE*6@1faP3TJk|CDf6sfCW9nmwM9bk@xL6q#beLDx!iUk7;4yGFDzjiac-eMl`dd
z3G~NWZ9I#E_MpGBvux>ZuD+4&U}t@3Q|a1)XhKgeW_!Y?a3S-RRb+!d>eLxS0<eou
zqu9t08=uU@NE54i9`}oCc|I#L(ocCOhF2Se>heYi`?1r{y05l0o3D(*)Tq`wavXg;
z+med%k#G{u*U@sMr=sp0BaP~NxDyu9pMA~uz;zdE7^^B>Ko<^rbc^-vO`4jTDRflf
zdof#?jo*tA^e+5Mg}{H3&^csvK?mSU!D5HHHf?MmdVQ9g?Ms}wp^H)=GFTpa#%9!R
zU9Fxdt`gJi`}yT2X6<6I?6tG=!`GrMRD1=Y?h8P#T^t=US@n4aVl-PV@Me;ul5v7h
zt2+^K(zLJrejp#C9bMtk5*ZD;U!f$@W?ek~D{51xWaQ)TjfN6I9=@9Rmit_3@%hv%
zoluh{vdUxP4aV|cUN?m3?Mv2_nYgJ+yUL5O<`fPOo$tM2SVO*dc-M)itCW2In{dq^
zN-HbsClb_6l1_c1d)ZMV_XB;?1T{ni%`m(vd%L$D9oC+F6L;nj^4DBj8gI$U#`B1J
z_PxD^A?nlV>6F1G`$zQjppP^>4%}=*WF{%UAhl9%HyErfB;A<|k7?ZBi^(gG2B5{i
zc6-R0d>K-oH?)eP$Qs8hVA(i~6BO}MXj8c+JPd<EXsL&HDVg$WHpQ4`tZ)&U5+v;h
zMDv@Muli(ZR|VE3c3pa|!X&$`FmcG{@`;Rn2=X61s;=IRe2{jPK9Swb!Ww<$iE=6M
z<G>_jLGQ95^9?S;IUVd9W3xTR;S<Kq3=v@n;yx-B!8ju>@|EA$u{w^7%olks(SL9O
zXny7UaPZ&_Y+(WO)eT_65XoCRQ&oBS4xn&dAI!*zk9P!yLQg(7M}iyp{`Lx7J%&v_
z-k`rpY}*rpKHQ$b12e!V?g@yWP~a>C{+K`~aKD2uxZs(Lk-VT~ySh8@H3G__h%3PJ
zglBL&tn~u=UYgJKR<y*q4m^ncg9tZwF#yPc0XyjQfiA$4yLR)tTnNBf4F2<-NlZ?z
z@^o#RX#Up#OhT)yR4nJ+_T&RT#2djrVLKor5$&{A7LPd<FOSc1)E+EaTis5ONNPqk
zlo*j*e{FP63OOv|A~o#GAM|{iBOd6{-IRGq$bJ;BP4Rkwk&0!1Gxh<?)#`n6i1vKO
zr7ZVF#|D9Fe|#0fxqmQKE;kyf=yntD`<D+7MUGaD>zQ?uYs-WLzMB{L=OItf9v&OA
zT90+nd{XEUSY>@O<h&)p*c|?eg3fJ)pyKU%WH-g?hrAf76`WRg`CqDTSY}l<1wn3N
zxKzogPld9vF{)pnQ?*`%#C^Y}vtx)=XQ`$ge7opd>)l?k9k3APbU(`;hL;)Ea<6Bh
zZiQ}0L}@Mj2IJI_Z+DHMkN#LI<m#u)I2!c<?PC0#l@g8IeL<pM?jzBsG)#SYxL>4~
zO6~4wJ1j0i5*HSg271T<y={ZEI$reTkh41N>SQ~L2j^ytUia;Hm_(vW%({ensdyTb
z8uV%v7|@-;V>ZFC4d@d5p64G;`+*Ov>+TdUs9~=Q^?+Y&sbVyBXNv2Bdmb=c0_$4c
zKOf2P-Q23zI>E~RbZ^!bAR+U0u1#Rm0e1=lG8hWeqT21Bz?2>|LuFt{1f4#dzpx0F
z+@ODc|Nk$hg9V(WasA&Y<!oyZ7I)ol*~rKUU<Q!GEx-+RbT;7~GGU+^jE*8NQvCii
zbTEc-GwTme@S`~Mn(o}7aFd0{_wEy9&ZNyrbT~08#Emf{tf>peeyFJspPS9v(7(q_
z*}KS1ss(qZc;#y!P`zIv_E4J#^x9Bf4{enPJ)uyAjG1#75sf%XHw3jo@W;J!?T7wS
zieiT7lN60vRscfl8*{gnq+ixHtO4FJu!c|N@@mL74&STrh#n@Vg-=&n&MF41S8eEY
z(NSJCW|DqK@IK7x5_KA3VU6_eL-BbrR7QKi%FHGpX`)2pMtp}hTzqS-O3J?#+)jh5
z=A|k^Wi~uiCZ&)6DC!u<f1l7cXzQKN$0O`1mf#+8@RWw`vnF7V-DJv|uiTnUX1pb9
zK;<SwgW$o$9u*~Y>tM>tZ>BD%3fmdy)U*h>NjL7y7+g`TeJB46h%y;&%VEHA{1s@b
zR8&;NT=zj+`r6RYr<*P$At8a%g9SsidvK5$2^V+qkM-BJ&W>;rxDX8p9~*hs+i)c*
zd5oI@QUkvP2-U^y{|$p-{A%BX;o)Uq_*tHJ`=72*PR{S62<UV%yg+me_=A96nsnGd
zdDIMYX5ce&gU4Adcwf9i`u;HmLxx7tvC$-y-FY^lL0sG_<649-IE3U<svEoUX=n7K
ztFaIs@d^0Y2VXxQK4Ca@fyrM%ApQzHd~V~e>TbmDq8OfG#(V}!v7yH1u_d@-lcpS5
zJaP9CJ9nkgTz?{xLP9P(tq4x5rx7w+{L{^me$dB=3~kd87>CC6>!-_@$0Y^H?|GsU
z&YYERCgH1eJwXxRZRTc}hjw>5>tW&2Jtfq699L(@nrzh_$4ubcyeYCx_igVm9DxR}
zj~gkXFo5Q*a0%jqGm1!XZu-ZkmtH+C7>%Pkk|>SYW`gKmQxX!-n(7g})nvpHeoV)l
z5IQaYHL;B0+cg}T3l$86^K*peokk@ebl)5tdM@59z%e|)q=363Y8yC@Q`pwq4@slX
zgMKmZ+j7mFh<`|k?My|FgDH6Gj~+c*0ACYGTMQ#)UI2pmMWAp5{{=5lI3%)5g!hB<
zefxFsc0B;MejGUTja%lWxd5uv!!k*epSSSsVOv-;xbAO&E>E|%LeMgl@DdzsY%0;y
zI2A6kr&bAn?L;1Xz{Tc~l}2&s>F%j<jm6>CkAH4W;rAOTEFR$BZSxVwm$f1=qF+1b
z;No}`W_kL%V|mw4j3js8-6Ae;GX?X~7~3BcC_v5|LpzEmB<h9Nd~sar1MpY4$SbRy
zIEQFduwvgfW!mV~p0O0%EhHzqHKnKOx8JVHQ>SO<bd>38tM~`=W>D<)9H8#$Mu<<f
z#qq}$tJT{@(>FV>3D5O*BB~*8wHWfuos>35ZQ*>HkC+SzG5TeYV{cCM+|<pn0pZd4
zM~^%;HHSvD@q@<6j5NK*p6Orp9djkCRInoI7|oWV1oAwW%Q$>R#274XoQM!xIt-7B
z2G+n!lU}xmr<n-Km+b>I76)%8?rzPVZ(0Fr<;68|z<Y9RH^;n8iGo>!X@zaldaoWz
z<8>sbck!nDOnQ&J$-=}5|E@ErHq8GPO?7`Lki`8u1GS^s<qhg_LJ;H)t@11jdUl$i
z*BF!bMQ4uXRGuZbMS3*d(dT>D*SI%O)77ip)#9}t6Lk;_gk0fr5;0>Ft$Hj<%GBQU
zHBL!p7Coe5MJl~ucKDKR?pXpthO_xsGny$nvk^{TEYigMmZA+tErhYb&%Eo*>WsED
z9+Da~#w<Sj?Yzg|H$|A96vw*+prJe5CnOs>cz1tne?f5h<qJ7mvs(VopYZW~6d1q3
zXBb;x;tck=)!;D8-PZhFI;X%D+bsdJdn76E+lPC==Jkbxwr?s9H@X3bzbzPN2Q0+7
zeU8Gf_0(Ws{al=%e+l-@B%FGTzJ<Sk!|xK1u;g>KmfUAV_Yd=Xc8uBPG;IU>@Kf<T
zS7XPlhs9zu&4E{glsxrTE|I%<zP0TG=3K0N28)E*mp8;d^sP>PsaG|^)4D8c%6r(d
zCbdq_)D(+nJ9-i)8X4Sv=(i#LSQ0+;#HW3yNB{Kka<(YvO&n#CSfq!1pX+<BnnU^F
zUbP{<I!&n!Sh}!~|8)T0uh|5DS&W5k6zaYSu2n-F0pWssrmw%cKBCld#`4hwPZq^o
zdSymgAMQSB=5scYgxwrdPZ8u`37>i+@*Uy}C+fY_@yz*F(dSA;!*rmeYUrT+)7PP0
zQ$~{&W+Wsfm+%Ye>W}L<y=4#$QpX4#=PBI@w8`omDP;i(*)I$0C2;F7EDVoR{Yb;)
zP%eS|qquK4IL&<up{!zkc{K$2anfQ%uh_S_tgk&81)Ufg+x{j$l3hOzx0}tlA9IM4
zzzEG$vrxq(IB@yjq-=<*tC`;a4LZmAlwLM~d}gWs_UxOuXGWM!WgREmDU$m+RqV^f
z-PHzW#bLT0lJ%gwdaY3g%t*ckZ?nbUbCW(V%!M%Si=Yas4p4moN6kI^nG>e12Hsr#
zRgY%sRu2BV4%EM)3+$+myAO92i`{MMJk-2b!d4X|>e2`Ip3<MLS4%cA;$lXCnqf0t
z27DJq@qHTs*$<$F0zyKQq>j_?lF3ZbaL8Y3X_dR5yjS+Pkf;Zn6o+iyb)XX#17hI_
zUa%qXUJhfP`D5+biplH+953Ny5xi^gBA)FVys63uL_y%x0^T`a5X_YTW%Tg?05u#@
z13WB4=W)0nDabP8Jn#Y}4K*-{gZ1+jz@h=hQcA`}BJ-bIgwkypP2xf0#!~+VhS%p}
zk%i50!BRa_rCOE#f}>pBU4Yy9CZ7<J7!qUYS7*0nCptlTGATBwc8fUPeQJh?)bE~K
z?j^eL=5dSNyX`$pTN-YPjSzNVp!)7snc{QwfWC_Fs5Y5lf)8=6^qeJLuBnsN0><34
z%sT8Vx+W5myMvuD$xVAdO?M|^sIpvb6is=Ipr%-D9A!UG@_3E#CWn)A@UY$jx=0X=
z<wyvDswi5}pL^2Sc5Q73XJS&Rwbi@QJ)ndoxnG~>qqq8~@roj>W_?Ae7<G!w=Yrx<
z^+*uJ@l!F)@2pTZSwq~CkfYV(2%fAoT#VmkthgafdYbr)^G<(7wrYX~UP1aQ+&!=S
z=s1gu%7c9AvtapNgHo^R3(8;jjka`Y3_9eY)u5;67u<$YoWEOD|8}c?JQ>QxoHglK
z`LR7yWb13>cP;%ZeE$qRw;Tc5+o)0YDBLuz+XCFEwdPi%CFL+d1w)0Rk`g<BAY-Cd
z!}+&>echP?4`Binx@17;>rG?_(S7w`On6;rB}ptE*w_eW5x8sxw4wkd1KQ3OIG+B#
zpVYKJQQNS__u)P;bRI;)UX231IH2o_oP%}Z|I6BQJ%QqnD&6V-OSi3rlLa?kRfwi;
z0D}qWfd@LT4*v6gY{9JO8ek-=^wzONkZNlZ$J&+E6MG+)e{H;FUy0ri&3sC!uR+k`
zFRGv!_xEB<^o4&ru7iOk=d#*+`i8mDU*=MH)kfM>kiY+j3!qJ`<@ajQ=})t4P>xA=
zmCYxpQyleyB4UNcoAC416Y1pAK!Uhyd1;;PLwj~y-MZ5X2x$z`pvoZY*jm{EsdQcf
z9v?C>pA@7I#Z%>-CFDlKWPXr)nuGaUBVc<tdAzO9VT7Jev<lHh+ys@P)xK~1sK_nV
zoJFDK^cdG5Jhslx<h39bggwvg#l;*|;cM#HAcS388^5=Y5D{MSZ&_nI&wT%6R(?y!
zps1>Cwdyw*G`1J8x9NhufX=c`j|iqvd0KCjd(Z{e18Opu5A4TYD1w*>M=<>TUv!;?
zUzP2<<u~0S-HmigcS}fvbO}gzcY`1;-Q6wSNK0+Hq(O2^cQ_Bf_dPT7IcMfC5chue
zeP7SD*7`1vA>W6?Qh-M=0k~s;!emjei(P;WOk^q(OQNH%{{&d!JdWndffqes-DT((
zvFgwXl*YbJDF6`|XbD&YHp9Sp$~$xdSgU@7A^~(T-XYh+nLR*KAmy@*=lBfpaGwE{
z1aQ3ucikQ@o&sNfMXkBg=6~GhtZin%bpuEU3Ff=@UDpeViHSh5-&+X`oPV`f+y{2>
z?BKPhkdf@$apm_{SRcPOjmzAG6|XecF#RDuCqsfR`g6&Bz+wG6znG-mj~x1-@>u@v
z%n<W{nVm81n=(UKFPoG*@r3}Qwmw>lEyakocL?n69W_WxtKA&dJ$gtgpafbBuaEOu
z8*i8LW{=Xu!6X(&9RD)JRo0ssq6t_SSBQ_uB5a&|`T&-?b7Jpt_xsk;+F8S#Nka#t
z)M2`!qGvjXM!(@JvLBa61Go~uUHa%L1-O~JCrlsR-U!NW?rl0^2nln$R@D{}x{hJH
zJ_3)?Slunln#h{`o?r~pnauJ0sjDE4E$m8pF@JJq%*c-)g^WZ3$9E$tAt|`DkT=!H
zU6LXHkWJr&_aZoQ_B$VUsZil1aivDqI^L7znWme}VM1B|=)0JM9s6ONMW5&c_3=-b
z`7Yv(W&q2vr_+J;6RdVRNz~Hlbhs}uBaK3B(z!x;pno{%n4nE86mCXn9v)`}v>%dF
zjA6jlz9i^sHY!6w5fju9)}9QDF4!o40EOeN&5-5h+-M@<GeYH(@>35})oM^LgV8m{
z@6pz5jNM@E%jQ=Q<rUi6>}^4jpl;j}uVup_ttbRi!Tt%w|2s`kM8;oNH=!Jbzc+nf
zgY%(g5>YmcpLEMsuj(XiNUIj!lnhYMt)@;Jz6A?N`6uNokV|0P*GHHmcD>l_x^0r4
zZ2kKK_kEBrISwq|G0|ka_X;QXmnG`wTjhsFjpgF)O+0+yB~FBWxPt?ip%Ct}EebRA
z=tdP&bC5j_nuD~x?cJ6hmsnun@`<xVp&LHt{!tDO^e6Tc>1Vo5s?pJA;7Y|b#;ZIb
zIPF1Y<~`U7Q>X9kN8iK9Gf^l(aG6xL|DbkuF%j4lD*SEEgm4UUZ1Sxc#xDsP^A2Qn
zNs`!gc27~b$G@2sI+v8!v9LvdsPhN*aU2d&ZRFMTwh!ICpC6NE$WW)9eYM*U9WMm?
zK_Du>pS;0o1#!aS40D-q2cHcSRF@YrLx?Wx%|gd0Dy6I)h{lNjsj3jm)g@Wn2x0&K
zAOQr<LfI4Q+poCHP_pXY7#}XOlcH=Mpofg_Zdu$FP~;&PdfT8K(KO0Cf}s;?a8jni
zg7)Ht6e9SILXHM77MU^q4O%}0aa3Zq_mfD}Gy)q!gxvZ$NrNe*<_{3ZS~n0H&4J#+
z1ndQTn5)^FJW5HeEM!a@P&qeC-+hy8DQ~p&A{1$nw~R-iz!4NkcwYc2JOUFY^irHH
z0gW7LtrVH5aqRojFxgm&qA+t3D0|*}Uh`Q?cm*XTfjVl^&crOdke5Bz*i|)tvM-+e
z*$3+RQbkfr3oAJh52`@oYKbu9MBG~!A&GbwEXU{D^b<cdX93Cxj%3F7_wi8bEtfNf
zFR%`KO-npoPQA8~IBdKCz4jfD=G8m&|C9OwJhd<P`vJEd8xUZ!T{4aH0}eevw73Jz
z9#04Fo0O#hX%rYXTI_5Zi?!PSdCcBWgp##aFwbV1Z<Rg7HsRFUNDTxDAp~~0sBx+h
z&?pC{_o|#uh%hKM=*Siuv%d>93#?o9ZDPD{RvzULt%QX_XBMZ+x=G>m3sTy2=h788
zt~4X<F4AH|KVV4mRrdbY`{m<EfeC!5KMT8|WGtO6=5K{#U%gb0eMIVC#WssN&Kj*D
zepNxmjE10l(DNc_8~TRv${QXQwn%d3<r8_mawjSL_YtY92lNE|Jz^``9{jAB<DYK?
z@|MxbSR*TQ7#)am@*y@+^Bea9n-;OQm@4`4dF0Sg2oZUU%R#Ju^q(ZoAkCdm|9{`{
zZ$ZqUjRtcCz~TOihyv0pkHDS#eM%%##7|)35|Fm7fDk264pRs*@%`s~%E$JkH^B`I
zm5kxo{`+g0b!;RoIs)UH3Ho&}F^ad06OH-0qHtmLe($kP>I2p=FOCXERLcDmy9BX-
z*yf6KDpgC7S+`p_Ga4bgr}(WyKbI1pPjQ62(UH@^H^qGjdo+2leyTpQLIBpDbf4<B
zU;KmD(*gp;*@Y`fyyMKpqT!+L+x^wtNzM{dZ^V346^y#YIDkb?uq6RzL4h?;%Q<fB
zBSC<UUW(AyA|kwYEiJ=A-ZCv48_+GuaOqW8&}27G>44>>Qi&I3BUP?ztR&((Ry*pY
zR)i8Rd#_6iU6$Uv#6>XVpu+=g4Ryv=Xba}O34JIG=%Bm;QyPpb2WS_d<r@KWE?`yc
zG#|rbY*$MA?=hrTGHlbLVaM~$>PEm{KhtqQKzg<O0PD8tm;YNwhk}jgLHp+>lq!}W
zA2LCgJaB_1FEPCdf~k8`ZihaaQzPLJFjO`}$ei5o=E3C}*sE`TsKIq0X>X(j&m$om
zns||-5DE&!b<I1=G%xn>$#nz)$OjD4HSP^q=|jn{$n7P8e$t@(Ilvm$<4EIh+lAkL
z9ZwWt8)R%$Acs+d&YlanSy6iyUGxtzwMEAp#*<HTFlWACQp}P$`%|6$s=$&-Rk&Gh
zG4=Kh@<Z$@?#jgWZ1?r<rU+W>-@FGO!jraTiW6e`I;-W0xZ*@4u<U|y51CIrL6hWp
zp~OjO!RZv<<jgLc{LI*e#>~lNZn)J5{(#o5Uh+Ywt>KTiE%3Vp1_-12PtrhAXgHcs
zU0+{cP3;1hOz?4VI)Tp+utZ|hDRlxfAdpMRJoP*EiIfD^;{j8`w^iD2oNiRAj4Q8p
zHa9WJ53Xa7va$dts=cP8>A0+5buG6gbtB?Pj5i}QLcPl5I~Mb!JFI+dE&>qc;41U-
z;tPJ)cbu>DWV<{JUnS=MZ2JASN*)rKYJ6d`u;D9LHk=e$UoU_)Py23fWAa48C6C{I
zV5gt-1XGf6JpG$YR0`^-KT%KD{Q^labxP|9GE4Oam=cl&NQ%j}Ys4Ahgr^2&E_?e4
zpn{bsjhFA|aMybUdYngEpiuF*opPKVH@h|+a=7hAp%KZ{tbM;d#Z0vS@#aD9FguVe
z<fz|`%7Pi;<#!lPtXymhg}n>&O#k?0Qf@Yr<MXsJ)4e_7fkx5T;`do{9{PSE{!4Ph
zLF7!;O_;=adjI5cndXm3V^JUgZEWE?PS|f%xZheL+3xkueT#7P!*yib{L9bZ?-CrH
zLx@esD@*5dCTF`$8L!rkZoqX1;nZ65>rP5b?Qj2{g`<qF#AS`BDTKPO;owETi!M>8
z6H_!%6JDM(MsKrc?Mq-7MM1^nsU@zB6W3qFzFa*N<~Du17Jp|t@YaDEvOLt@S>R#t
z+_Wg@OZp5;2rec?I8qn$blXhMCW?I!`uRUoV)Y!qfh<xckgx;FdtO@=fU_M44R%VS
zoc2G@sVf`!K$;S6Slu1TUNMU>72sq0eh_%R`94*w;nUh$sn4mR@SYhWnBjfkHH3yw
zE>H4KW_0KswG%#nUKb2&cD|mW5)8eXc@IIN_%skK@J{yhe7p+w!emdB@ZfvD9kh>M
zY!M6|Z>c@P$-{tZ{NolTB)qO!OJKoff>~nuo%IGiTlL0TIc0ulv(W6&bWwfJgf9Ov
z3G`J-GIV+sL*?r_nd8z{%v<f0#f4KGAy_r_u21PN`o~7a@o?gY7o#7<3Ot6C51>RW
zy|*K41_^%SNoiuvsohQF&7t}qyFqC^lfsFbc}u9Ip$1q6?=DhR9yHmL(uM)YjvY|R
z48*pML%~zog139X3o}rZ5W@l3J4E-hT(GFzLjk?o5ZL18`rYVk_W%?BDUfmdJ(2n9
zhIzl#)!O%;rEb4Ss3Cqqh`yHfUx}JAxsLH53?yL;Berz=Wlml+ZJDtM)VkERjhlYB
z!5KG?nj8})1zHhwS7nH~Ka~-x_`!LQ<1>v<nHGLTak83ljILp^Er0RfFMUVLB(4Ij
z{tb&$v$Ma8(cl&=!oiZhki)L=r$&rgL>M0;7|MIb-FGC3T6ZN?$NTfeB(Bxm&#vr2
z>Fc;R=+@87@zUS+KYrwUx6tm<-E*Y#$J>}cw3v)9$(iD9?PAdW6i%Zcc#9oJ$zsqO
zQMd_}`o<^k3(K89Vthq4wb+3t!O|ja!uLt77qJ@myT#>(7wD7fXG?`_baaE8ut_X0
z!nRjNB9O!yiY5fqvR?qKB8frW|8aHW)zScT5R?1gnE<EzTjd;J`HDe@_yoYh0B5VJ
zuC8|<(8&xW+DwP$lpX;dYOQwtHgHJAH9I(kp!|ni<nN|b+od@l*~2170U7FAFhq6#
zsTC^HvZ-Y%K!ma+Sh*$fHvv+j<j_{CT8merZZm~4?dU;U<Z>eeTQUs?9q9(v@wB9e
zOSmx4y^Un4pgm(xygZR>GHQCZ<#u#;o~RFk6Q0=~=Uvk!gVus+ASFPUJUquip7F0_
zU4A!IB}bIzZR{qzEZ)6RX-8*HRuK+rg-i5WyR51Nze7Nm)dqB_(NM*oPah_IVSb1F
zn!tY;ZwZjy1D|_nWH#*jMe3S^N{UvrCTG`vq@cTWOLNK@aA${93E6q>$p1Z3C8e_<
zf|H2b{TNv-H&)KLH&}QzHt(#1uja&gQyI+=G9U;y+SkXExBG^{L1G%7L|YjZgCW9c
zhTcej7?4|}!=mw3Sv4EZKlMY)eO#QF@ecKaz5gPIskNUAFA(bBd)Gum$yV{qD;@ql
zV9hp3na=CY<9j9O(zoG%M=Q*zeT@~Y|ISxt-w)|~ZXx~FDeeP-A!F@W{y%qdTrMO&
z6JM_|n8eVDYVtq#`j8poG{I!w?CMyBU=1KX$&Z?;yikqwM}%M}v&i%T!B>00O%6Ez
z2u#rh4)TD)P6E?**F)#qH4h9jp}Vre*rQ)<?;!u#%>zc5Du8(haMH?D3oRejm4&Y(
zM7gx<sE_{z-(B@e29;ewt=wJ1>MltN6KJz-qdmfKk6yDIq%j+hj>GH<9oJz*7GcmC
zb$F&nj0S~uQ<odsEH%_(z40_KWc`5ZB`ibI_)8AD0_vF9q-Co*LQNR>c2kfhXj4LV
zDoZJl*yE6c>VM5pmJolsx+D@ckv<Si{3UZ+{}@Gd6qlR>mA`Mf#3sX1nZ3M-H5=D7
z-f<IFb4r_!&4PXq*F^Gd<m*iTtWL@{%Cd2q<dwi#65ng2c7A4nJf+y|gK(}b|CR|T
zj7$&)BO+`szdh%PKs;UeF|PatGJDNHvALgU=yWB2#ge<lUAE$GP8t62Kw&f2m*yLs
z18WvvQAxIB&Z#Cd*+=#t*9JFu@d_)x40a@!j?PQC$JuUvMHxr+3g;p#dh~SuO;LyX
zaH|SlQhosj<%di<F(vN3ZL@Btz%*YCljBahs@O1&`*=6c7wwzl<;p;WobEqdD=k#I
zDB=+2ZS!_<izQkgn>_e^9M4j*q(mmA<kY#Bt!mMw><j%b`Z7?k5k5J^2_^2uno~zK
zqoL|N3thf{R4J!x8BQ=~phHzb&L+c)+ul$TYUm2*j)|2B8%~>{`RAccg$LRqx#gyH
z-5e9j-PQq_zszf?CNWZSswzi`v$xl*?_7R<OgAPeYuSAaM)4l$9=V;Lx0JgcQg%_|
zA!~3Y6w3Ow;|;(BWb@Val{3HDg;HM4#90_=lNo7ny5*8tOuAjW=LzJU@QBvhCxc<=
zja8M8AO(?Ge)BI|9QQ>T*&M%3kkQ1@uv!)43y{9(5^Lnd>p6_>2bhS0@51f#E`BYK
zwz7NUIub+qVmD~HLhyV-aK_nhA3`pmJAI;lzsst>n%Suhd!}s)h{rlo{^)XS2cZez
z^TP8#w))^|r%Dh$^gh#_Ug;*K1TBJ>&TD5>^e%ZOV!SeI5d%j?vHlI62fa}aYQ6_-
z_xV2$_Rz8i^UB?xM`X{U2p`RP1S>=)@Ol-dw;Nq3z1Zg^{|55+&~p=cGY~f)$<awJ
z@MC27XMZA|9AZ&uKME4J;Nk5nVWbv)gAStY9py12BHCDB-I{r~6WS7&S{mL+@)5uE
zJ7(^d)cG9;3U<KVIt6s6`dlk;91${+zJwc47>Jxwl5pJXAD9yztlZc87K*&(%HBky
zI)IVb=l<Xc&DgSv@<F~uD0kNtkI0=s1#SLrs}B3FNufpPl&9%+3tZ!3s6Hh%54;ii
zEak-p=JcXMeT#4-tN<a#|E^yA*3zOPyA**7>-Z6YugRR!o<O?@gPDYNEv(Xr;S`4L
zV=m~bca{lGL|xsYx+LbxJZOaj_JDrDf!v^hi~!CD1s}%u;D8&Y$1=rB`)rVQURhB%
zS3v;@#sEoE%QP%V_3W!yu8-2D$q4H8`|eRn<8{o4r-rjzp-%A`tmlV`QYJq~S*Cxo
zRwBzUq<g(%0#odKS)k<hd?teMTJ?|=fpvJ6x4xHCFiGLzW+4;`t@kqAW8m=krV`?c
zK?n*xB27=p&EC($%JEqW7+LtAHbDvNj;vl`Rq<;<=;!kbiL|v>D+t|9NX3Bb(iT27
zCnXr=Nn5)?A%OLYk7&%1*vMSm0Gvi;ezyrGEarR{k+X$S_y>t0vg1qF$QLl^VTvRX
z&shYI0!8aq2!U^a^OOGm6Xhi|^hh8=E4>12onI(FifyP*4~r(4B9D%|ySK{-GH`a4
zhC(n`4bxqirx^bh{t2{f0WX(H#D%b`#TQXq5?&LwX+cz?*r%Lq=(nIYKBX0F=-=Qc
zc|c2rkq?MbK=4g42blVR6(q2=Gy;6OK)y#W+wYZQ2G~)IPymN=wrIc$FxD*A8f^gO
zP?jC|Os$yz5kk8c7gW(Zx$0er@4rx6{{<iCUV3o(328SlS=cvs8bAYus4bKiCHu<@
z*v_cl1Y-ET4GUa<4I2))S<GWU(mW|W?`n#TcCt6`?x%kR#c?*-@DYT+Csl|kSEmiO
z(i})i(WdKrh`Tmwvdkko;U9%liQ*R}4AYKFFLZzAsv79P-}egoYD+Qz32{S4ax_o*
z^oWUeA>(*6pv1JUq^z&>-dIXjZcW+x4Q`>ks}AQHx-{{#%iSR5Q(LPW9s6<}Y2p-|
zu5v$F!!N?q8@YWijtpac3hSQRTe0Z|2Ko=~O<Qoi!l|i8Ke$KOp%%9plDobks>GoM
z|8DkMvmN_>ARKyeccu-H>e1jaA{uT|fEkKW9CW7(yDQ^=Ty9JZuxH6wm@A$GFU0sy
zS2>mn4=!o|_}F0A<{VLubcXspQvw+TCpN?P{q$EG*xI;nNlKy6FMIT^U&Pi}WjeWO
zt3zJol_+2QTQ$*k61zB`np8fS{S{VMki&0FXw>BwQI(X|9)))Z1I-95QL=Lx_nozu
zAh(8Z3DnL!5ZaM?nvMhFB@i8Y1xNt7H_zc%Qh?l6{aq3;A_ID+M{$?}TbJw8-8m9r
zX9?PC`s@pL>zC{r13JaFZm;IV)(e@DdU!~KN`g|mBV|y8giiaT7B6hCz4{oCE@EBS
zJN^mCz;m9U31ZTl1Rq!exC$Q;H(aiz);~_KItVQ^22GGXUT}_)*yd$lHwkH9cM_5K
zgRk!nu{n7jH45}wLD_R2Bjs{3XH<tE*WY5|;u1e++O|q~J%`;Ezxi^D6SAP|6e$LP
z@6a7l%{$?HFcosy*>-CXVA#lbdCw7QPgp!c+{XAvia$`p>y%A?-lD9#;j<I6x!7w=
zs0rhF$RJ>TUTs$*w$*n?-=HugtDW?sJh3SUs@^ws@*Fd=%Iab>o_Q<D(1@6x4W1t>
z5uOjXZsGk{^9hqAhfsR8D*uFTf?=AN-^(d;2h%<qKj;xi5lj4ENdUK_UM)>cw*&B2
z^QyfbU_<}|Y%vUSLsiv;B|c!BeI*_MmgkuwIl$HID(mn60<@B6G$Z_zHtp|5_oV?p
zAH6LQIJ?nYpvC5S<M%`rQCrh0HDZ0~9l{x$P#Z-t{4E7;qt1>{udG(f_<+wfayBXy
z<E;TSjelL9Kp&^%dfteay;M9NRmegD(BYFEBzcf}g5p)WIkBh2KT49<PeO!z{e8sn
zo~!`BGDMoz)lDq8mQu1J;C#u{h&mN|gIx<r7^E$Va#}G?5lEFyGV?U2c0Ea0G#0Oh
zt7c}>>rF+%DLl|JP-xyIMxO*i;gCIMf%Q1VPLF7M2e93yIZQqiA!K2&7X*Rq@KQ$c
zACloM*?TDy`n!2@%vF&#z9PG%Tx|hDD2|B@aE9an4aq-~-4-Q)JTy>7F*rB~XjwsW
z;b1zR*DTC`BP!O!An{=$cD@e&BShK@qI3sX9`NTMHc$;2!iSMEX}cB;9vqds^X7!l
zF6O|-<be*y5xv1)-c?dGMcI<29FI#m{V9tz)Z`q@g#_pBkMG|0S|C=B=@63P716a@
zN9(Zb3zC{9uFvSOUQuo=+=I-}9|dlzXTQj`?Mm)ZCXx49e9anqG87vL+ViVZwlj{H
zvx|?LS*?(uEW*V3S_2b>B4!%DSM{COr_V@EHa#n<`;Tk8&Q1C}T9|_?Dio&}qVlBr
z8a7^SI229;#;-<Hq&guK1h~1z4=>h~BA+y+!{YYCa7aSaI#WM{GDB-nn9>Anhbl#|
zby`#-j<jXkyY16Nn7g8SP#<&88;5wKcka;)C#m5^Uin$OMv;jr1?OQPhSDmdi<Nq{
zbPf0yj?S5fH}=P;bBUkRw^&YZ12S^ucMdwbePFfAJ4E6(r~2CTvC?Gocr7W7lR^K_
zy$DYlU}@!LzU|=G#Av!=(&n}{{AbLKR!zzXg44N42;=B40kY`uN8CM%7l->I83N6d
zk{X{#!1jaM#3B!iI1Kv2)7dIJh>S-cM|kvWo@mO)Cynr7g4qUa?b)#b1U}QnMmSB}
z5lVRO{k-SnAO20Hvj)r8+A`X>{bo0B$2}W0khVo`40{_uG=J2X7_2jr9;B}A{nFoW
z3RirPOC0C$%vbrqzQDuauu|sl_N}3L!J64+M1ypliOqQ3J6}20L)YvQx5qq)w>5JS
z-3Ak0Uk<wJQovs(LrXZ?15w!0!oBj@O*?WJFFe11*1H=u8W9{a+$l?r^HGey{pn^D
zO!+}y6;es}ZRn@Tm~hSqi*sA+6YVq<8TFAICN+8Jwrv->6@VN@JlrYJGFi`{gAsp)
z%rcaO2(38>o^i$PMY9jUYt2L@0l(8h^^SrZtB848G~UFFox#5F&Hk)L5TwDH9|he~
z`Kh8}(dBq<1OBE?o5dP|S3wqV8FB-gm&u`{qa$ER2YhWm2-E?a5`fA?b>kv)q`U&a
z-{CnhQ-l;<S0;meV`ddNrCFF=`+*7;<$qBzrjJ|tO|M<q$Zji%-#`!SO4j_rJ<;U;
zZ1R`dqf>IEk@tXYo9QzHI&6Af*Fx6}6ZXh2Q-(bdR6iB826kXru+_npv9TpA5=DbC
zp#dt)++J9(5kCM<ne<)OqmMRQmPA~#BUn|wh5l{16p?o<umqJyH{U<sT->5!G~3@0
z>^hc5lw~-#h7a`QjLGMoDIK1lkqG!8IjVY(HL7amE7ylb#xcy9=RF0Oj)#m&oVTAv
z)STwMx0H<W7WRVWL1ba}o)$4cm^Kt5mx%fiIxdqS1G_e0tfHe&Up>{+!x=Dq8>C2n
zPy!sk4$*D@KTN^@CM;k-o?$-x4;VRm8K(DtlD}w=BzLmTJ#JnEJ_p=en}lux_=$JY
z(0u3#U!cXrj-!FhZjYKEdre|(4aF9vwtR=UK<QY;xxL=U&5*$2NE)lq4+Ofrt-@bH
zEao@dDA=1Wk$AV>dnV|9BtOcq`%+AD90@{V?Y~SD&lO*zWoS7n{g`*xs4EJ)x^gnI
z45V$H^kq)I=Od@MIMmY=L^Wgell6fD5P_6V5+DO4=qjvQ6uTc64p)r8_&mWT|CeBS
z?D`N4_v9u|s2L+R2Bfu$(O_^?LOaAS)6I6g?K)j4#xJGu=l}fNkXo($f1?i+{9r}c
z*c<?D83m7d2{?y=Is{;kMg2aOnU(bgI2!~3Abqu7%d07Qg=`4n9|y8PPy`9aLkmm)
zY1?2b$O^TZPkq~8bIV&HhJ(I$3?o5xp<VF#@Aup5^N-2qD{;O2!Fib3vJ(jya)#c6
zg=sV)NN@e4OFr?$m_L8;<U7#*FE7A1-sCr`T+Ylaq|`1+A2{BN;LxIu#i^ft2h-yY
zip>!sV&BVCOb}Qi^E>kWcpP4T)V&qCZ8~+!ZCVhqwKMqZxa3o9A$;tW({$sqM!rbO
z1Y?8$u9Wg1aKg>XuuK?#rR5X>t<GcSvG=Z7UxDlX<0X?W>6*iDaHax(_zSEt=vZAV
zEj3R`*P`uOC9DitkgJ!FPwbd&$$7%n*e-n!)_2u#7m4#}>?d{xhEnkMD1_x!<q+go
z6mVR%77jouK09#{1!E}*h(9PwD4;HdDykjBva0Ow(Q~RY)d{MXi{2D-*rai`=Nxuq
z3<aq_qEH;gORwAsP%6A+s7SZda~BT0dyWGcKkmc$?3cQ79=kuO-deHld!z|+KVf~r
z0mss6*Uw+}K2C?v|0SiOJL7kr<NDmw`G)@taxL^|(AxNxM9h4YzH<1b|4<7f5*op_
z`1nIv62umRl*&mt-7%xig`aaNYgG5W_W@0Efwuz@PxjZC0C=qdOND(i=)cYG{WF-}
z72SX0Je6Ve&R1{d?z3+K)#-X>B9xZo*KTwh`t8(2PTa+ir87`xmZ-1Kn_XtsA6Df*
zGe}owSB0p#9+`TeR{`N{EK8lyxYcx&=5Na%?MvgQnhdTdYCL3_pf^dS<@l<>kvQIF
zBeMtth6MFGx@q#u95F}b(nD0({g_Q*_aW$<ZGB7oR8T>uAdF6O{-7x&-&hjv7<5+Z
z_u^~QNquie=$p6ZqAJ5cKBAmcM0rZm2FObGi;d;dhJ%w{CHA~T<F;dIbanD7Sbs>A
zOH;%hhrugh6Hn5=Pu2z4@K<W#D5&L6T8%oQ>o#C&k8y^G2%9L#vqj`0P6$Z6P>7ms
z*2vvznWl=dhATD+Y}uZYunK9)%RdJuWiE4|>+ti~ElKY8u>MJs*IhaeS}%_+Lc}eY
z0ui0Et0OJWTC$BELDrAntLa{r+voDY%1-7|;AQ`4<|?*|&&e!t%3db>#fH}Qsa$x3
zr^*aB2Xw-M;ah9i1<Z!ifI|bwjb=IiK-zd%Xj$LzI<bn!z9ZqcCYpiiX%W*rFRK+%
z+~I-?OewWzGYd)l_?#^kR|l&oKb5faj7%!<XNp&*H7Z(INhN0`64ote796+qMZXli
zncQ9Q3rs4qBOjJ;$p^nKQ<GbAVbp?elj^%2L~M?XRw*SITx!{GjRnI%v}X3Co6*P#
z;1XnFq#t*tO}AVpccc|~4Esq@q-M|oZ=fg?R|0;M-2s1c7vNX{DDtZS8s^ouI85pR
zM0h&^^v|;4-g8h^@BWDDEP>y1a8tm8-qtCUWYm*2#Ca?-iQmxx`H(A(^O$x=Kka7N
z_mN@0SZm!$W-BhvfP<V|#J~T5Ct?)dX%IH`62?z<wv~ir{4g0G2PIv;1F5FrA;YrK
zEzrYD{JQzmp|eFH^*oG%c#@J&#cT;_kw&<@g+e&85=`}-BBk=Qcu}*lkL~s6>I9{J
zbt@X^<YO54bzRpI6O-W^@%=Nc;I-Dt{kUpj`>~asge038k-=^fO+#=gI1zj1TWu2o
z2WLZzJA74W31&Ukfl@@;yS*H$lq_(XyV!m%hS!7X-N(uDZYs3Z5>mawpE>G#a1`#W
zjk)|h$YOCJ*=*RyKbw7I{Z2B-W(laC0w*2P!yL-XgA*P7+N!omXNufp`9gF~#)`+E
z-3?iTG|0qK>z}|%Ect*M4fkNgha|;nm)EBR6K8YU#v`_g@>du@;Q?+hVZg);SOFaX
z2M}Obx3#s+67ll}G(0^$J)lj4A4pUKC;_{rx~<=t4y<36o}VfHIW1^{7V}Wq(R#^D
z#Z3d<$SpC-rF;MM&_L21KmT<!|1pm(HVMb$?o7g^nxH3R@K!$f4`bt$RF2I)uYgBa
z64XlQyA-J4oFKQQIgJ^9y2WHrP^tnVgknIF_<OLnf8$AdXv(i|;+<TmWIJ;B{2$SE
zOLjK#FAI0_BFVW+R2o8GW+O<+<%u!*N;_+K%<h&`v0sQj&xeraXXlB|kuz;+{4D^A
z=yG6>0(A)0ZHumst)rMGXg%k5iYWuAu)q9W#k~VPme>l1#akL<n-$XJmH41EzDpmM
zo+$7pyZaGP3(y?Vh<StntUZv}vA48Dr2LS@SMRXVy)zugmXzQFl-f-Jgb+Y`h$Z3%
zlDL}m)VH^R|2(Miu<N5V^>#5VM>T}p#Z8HF*8EPZFl^I(AGA-S*7f3lC0>|8z7<vM
zEd3p234Ys!(|pX?Xt7_7QJ6&zOOR8)^svA3o<-QUJ(`4eym0^|MwmxJ(i=;dFFcU_
z6W%GxU_8rTc9675T<XU0ekA$9@Z``14?5l>itbJ7cj@Xw%}<LkHHZ;yMN}&}$uh_y
z8g*R!yvInt%$r-jdEeXepfkG3Jj30k)I^ML?eZW^7QZtTHcSfiQ}qgXER6~`f~uc%
z->)c)%g0ue>5KJTq*S1+i89O(Sz>hx*c1!S<rmAaJ@YO0g0%%#2Zy@kuSjayVLbIb
zul4|Omh&J4vQ|Ln1z>!yFJ!M)cXAQmhpWTt>gq6WXTZ;fL<uCjU(uSx0&~Z~-sJy2
zQieW{4uX0fE%%tP+G;kKxVkr}onPKIs&BfsO)mnt!BhF?_=jIAl!$nF8b<G2_|XNp
zD8y}{(MaN>bz|k;)=i)-waeWE+mYkiF1p5gN7J4Jdj)2RkkTtXw<oDVJNuYag4I2^
z{wQ3UiGJD{<=)ljvoi@K33#ACq?3IpHi;{o!gn*bS%pd#%|pfk0TsmH8w$oM<9+;*
zQVg8zw}>ioD7rps9)d2hM~mW(xQCVl9qR(>UTs|M9{#jE57le2eo-5YK^-N9W~D8S
ziv@3feMpPNGQe<$fOKVIB_eoax1&-^MK$%_uhEssi;cd!-nF3pR4N+HUBY+YOnv~v
z#d!ezHO6sT*3{z*cb#>=N3c^_GeS3}M8J$3oq^|8*eeHZ`TIVAImBnx=L3GA3kwSm
z4-db8{{}36yrJNwCC|Ulx8#0T)5|xdDF7_*^}u&W6prDZm)p$$5o_dgZ|TIx=>J<o
zr4&5?>1yFHOcu!k2c&phEHN;LmKiu`vOCQo$6j>4zMS{jNy9Cx{lxOFD?3^d5JK9V
zm#jj+uf-a`t{Rbupk>Lexwm@;>t6X|hbZb#M=a5UNY5N1cwl*^oe7VT<l`e8ZrL^R
z9)>irZ1tWguUuQQIok|)Kg~+~%-~ucsUT`570AIoDImDnJ5ap$%SZZ&d^Fu`ba+uN
zK3ukyspfaI0Z+kzk>0zR@}*GA>0%diSOVM3+#+#=)TY6ySu!N^WQ6<StIW>M8Kv#B
zyLb$2o^WH~Sq00dTOceKFc^hf3)mn5VGwv7iUjggxj<G94Gj$r+DJ?576?n90qF~!
z2D4G%M-1#%GI}a8y|wDINcf#kSf2XxFv3M1abMsE=O=G^i`Hn)d>oi&2BAy*3<wqc
zWe>Z4A6+FaksZMr2k=|A@|C4xtY)kGzqt-rAGE6_mO!M%vbkLlU1>LU5F$JzsD7d>
z|4id8d*o({!sp_5e*1EGy-jl9%o2HHXTfx#PgY}l?vDI4F1l9hsqUPtX6=0g=2akX
z)&znvuBKX%uBUTuFifzxdK%-C&qF-Atj@xpP?Ww-4ra|b91?5?j+l^jQeJ6{WBB!M
zMkjHOtwxH#Eoiz}A!mfDzY%;<{}~+AQsz#@SkQ86ZWb9uRKYDb8&cX$+V)b@ndccu
z%9k<pOR{i}0jlKJ&>?aP7_!8_PZ`=Tp?At;Nds|DUn`w!HQ>wmm?Nm+Q7M4|b<_lJ
z>*1>NR>^8;k6@<YfQV|J{vrOBE-V`p4INYTZM#5;@4Zp?;PvsxkJ>N4siYmS!uASH
zm}8o0Ang(zUAhuFoiK-SvpKZSmu||5!O%)Ze$a0>#__zc<lLV$tsVUpT(vK;W@1x7
z@lC<Cots~aT`Z0<IBX`43)NlMem0Ob8-<Yx>l@x|F)N2KI02a`!2fCmWNd&J4qw1%
z@OX82S+4A74d}xF1@tp;%ZWTp$Jwv7H#wRCB!E|bM8Gz7t|wq*_rEG6e>SMUjrZAf
z*)4OTQOPe=`dpz@>bJ&)x5lb;jL^;k`Kf_i8Io_%r(u~rglgJoo)t`{eMDTU^C$2Z
z6NPYc#;%o2{W|5SqdenH4ccF4Y#F%zEZqf-_DJtdJ6sQBQdkqZn@91{9LQ$z%E^O1
zk~hsz(2?$RBRZ+FQpm2AJ#?2kX*@|~O_f%*UotEl;!`{770yH50h#<#5DZd*$@Sh-
zc0KMUw(AE3(3s1!&V;{}cdz@_%!5g5R5r5s#ybtUft0PHTJEmUPcAuj3N@^0Q~_VM
z*i)(C;>$~$F@)-FvS;ww6s1Z<#RPO2n;ipd2u_WR#j1R%H#PL4laId#MK&i(VGR%s
z;6*GRq;0}cxB%laa9#s3G9VbRx_;Da_+IJt1G3V;D>Nr=<{2hm+^W;*LdQddoPS$Q
zRWKGDAz86v8%>0yDuI6a_qa?AMC7(ZjF1BW=F<VC|DBbhak_lPts{>A;M>*FNJpDx
zySo5Z{BG*N8i6W~>Q#I!+}h^vtdKm*RUhT~MLYZ&maLREP8Vo=`mRQZS;^K<B`jj%
zd`Oj!;(qW?G0TNFf_{P7S0<~>mW-jI@lqQUnzi8Ua#&`V6}yh#R1})*j%+J%5Cl6F
ziG7#R>u8_+WYVl29cPj(wtxr5!am5IimtXRsVBdm=hvT$K0bq&re4|p32MagYkX+i
zb>tS0hhv=}acC86nCG>=FVotL{Ne6V@1Z$_td||woS}R0|2<uG-gsst)rc0!JL7P1
ztRr<`)aSj~S(dOLIe=eWcUsYtS)Dg^DBQEh_2FZ85nyO{3_LLjo_mkfmE0ozqkK5|
zbN!58T?yuu9#TiB12h}#p4G|?CC2PWGB1zjfXvuLmyX{XhXRxytJ<rsiYpmv=?+!T
z9u;eG^?r57y{m>InOeq#BOI=bm-p&T403fgyh{$Ij~tES5cJl@zgiT17!iI^cCICO
zW)Dn(7<;P(rQll{v7V-YQ+h3gqSb{I?SAWoW*Fi+W*Sg&lhwtP-Kb2*-njYAC&=3e
zSsh}yw?*T{hgRfRsDhKEz8g~wC+e{`|6bTY%=`MN0Qh&CHUjO#4<?6dRNr&ggWB7q
zLO3^71PebEe|NL^^j^C%VVPwZUSkJTF{pUo%=%>d^=3BET2M_mWz~}5ZH2FW<;4hw
zn<`VqzSMI%&ZLG#0Ckf1^cSZ!zVI>h9t_()zQIdI${+y><9(r3lhwwIgzQXXHY{C_
zD5@a+@9%yu7;&yy(j>h@0Gi1cmI_g#MJ88Zly^wa21e8HnXv>{b4x;1z}qFBMu#m%
z%$5>_xRH$=)hNE;?XQid?#&s`-N|U%IMz6`4`)Gxjp`@~EK{G~TMmblF5~cuue(7X
z#NMND6ty+ldC)7I^u*HK*gSr=-2^F`yo>MU$>>c>%t!DCP(l%;?%Ig?#l_};84kE!
zA|w%WAAjw?S`?~Sr{Mvrswa@}ex(?{lBxkj_eCXuF$Roq8#b5x&yH;WzJ@=M-Eqy>
zx4%JJ?V>oIF>#5Uh!?$Da~B!0%O(A6)xqaFmY<RHRAnqU&ixI;>7(zH##pQO1PSn2
zU$gcp4JKg;&dF6?)-dQ4Ok<Mnv^xHFn0@|6%BdKFk9E>dZ}Q!g_Jkfp0kx>OnVNE<
zusE2fhJG<9jZ_C8Q&m5EYL~-oQi~wuw>e%fPVZ@?nvL$KZM<%Je*<oY$q1C}P<)4P
z*|K_ESz3R<)etUI(%UOV_oamBkZh)jW<$ctpUsh9p22DzQ>^fhQz_Sb-5K^@dCxWy
z#R#4Ob6GP#cpEv3jam(BT{2pOjPUrw58@28lUSVzBgIS~uNf)>>YLAoduM@84OmTF
z$Qf)vcFzs;Gsa$vaUK!b9RPeaa2}-v@ZTey=6?Av&yT!3Jl#OibmBKQ;3B`+9i0++
zta{4wZ}s@E$%l|%Gz;h%EDKm?#d)vn<e!O~l@V|ut5>Teq1RXbKI}oyl3F(*c7d=#
z6TUnk=f_8bhAsh8bxfvjDTkVB;dZOnxs9Jb8q1Bmq|5Jk-U>R-d}*PLx44u<C{n4h
zG0F%BujaT|q0G7^T1kbI;!5DRWh+VwpJ_aQ9h$Z*wm}j`ufIZKQ`19Kkzf+}2@9nn
z_}ErA0b8GC<dL|J<9E1Rr-@NiKf_90Dtwk$Nlk+K!woC#*Aky&rrgnD2CARL4kw#f
zt$?6b7}X8kTPC9}CtN{!*&K;n20hTAKdN25GGq3E#@A@>)>Q}4zPd^b$sG@Dcl@!4
z)AqnC@C3N*UQs}O82)vh=i4yAO;BEb2t$4+hPVYF`?~>PeMV*`;FNj@A%EITGmSmZ
z(iD@F4B6cU-UR`GBsO5A+A53{K+c`TxD~kIbbj3vnGv>e<?YSRfMPxLN@~Vo9C*@7
zOq+8zHaH*1eWKh^k~CW+jyjeRboWr;Lg7gyeLp%kIwjL1eiA-pToVHuylF<9Q23I;
z`Yi3hru>zq3AZg$8_x9Pv|Ml9T@jVhK!7J}W}Vae*&@<|oK~{*Q8`5Gums%G(ZGVE
z<d3zZgdaes^4rl+m#q1LXrf!{3j&jj+d$nmx$0*CVQso-WABLZ_k&r5_8a+K{&?K4
z90~Q$g?^JqDKm8DK2D#d!1ONhH<W!SJX=r}WTQ_rII5&zmO)XxFAfYoeGJokQUf2&
zBpC>)e`d8$A19381<!uzH-bf%nmEusxMY3Xqtl$0d&Tk|W-z2P3T=I~yU=|1WQptN
zDpVD1d6$;agCnL-)-(cPEk~Y46}sHDg~J=#19`k4>TN@P5d25r&gmXnmJCCF#@fCd
z#@_u)X~Sm8p@3xISToM4_5f20{Xj4yOD@PIW>4IX#$@L#KZVcDc_b2n+%vfn%n-s?
z29V<A2%g{yAJeyh92Oy$CAhM-+Z#Y&X9JKZ6nxe!z;db8^DzHv0<Wm7dAQ8|>pO_6
zB?L6L0@H78_rnoTvfBaRBbL518XW5Z+abUa=Lkg92mD(X|MR<9@89e|z8rz&>`5dW
zgJ?l<4&f3*SM=|mr2Q=cbx^gCYXl(XQHI^v$H`pIn2pi%{faJVEaV;gv8d3~lq4Zl
z-w}k!DF{<Rd!Pt+?F01L1qxfex9zJ2DYe}@mV7!=Op{vvb0qK;NzfyzIa1udiUZ$6
zgmAw6Puy&JdWgNA-PHH>?y-iYGfX91W&3Z)jI4{|%wa20=`*B-kFt)8<soifuKbCF
zN*?XgU0<YT)eBm$J`J;CF)6AE##kN<K*LxCO-LxQ#*(ls<S&#!-(xs`kPm1C7d@y>
z!wdf`YMO@{?CSjdlh=CWw)45B@N`KqH352#qCVn=)xcZW>g>c{re{Sq3hyuIz4a04
z#N1qqf{j{M&0)RKEo*zDw*O=SszV)yQw<mYvZzZElnh!$6OP1y#Mmt1N)D4LEW0{a
zbngE9w8&p#%NX@P33X=Kh$8I$R=UZ9J-dqX51RXu{1ph9*}pvJp@b-1y^AqP9h1?e
z<OX`Xk*7@wsv$Gq8H^Z8rDO=POmGNsK8!g8oa1Hu4E}VsF36?9A*WbaQ}YK9-cTq>
z0A>iVG$R&pwL~;osxtv{=+1~+uN{2=%3tJhc?u7G9cWH+ad9y)$o9h<1oYt)R)dG^
zQ(wB9eqFJDCOTVBNI(^)cb^+X?40974}w>s<E}PsmzDU$AX<E9YCg82UMl>ctXSAw
z7muT4!@y6qz)ELw)|`Shqz;cDlT$1*?a&NfIGXv5?S*2KnkqFGDtQWYy*0NbP`IDj
z=v;}!ki!eyzIYxwtF|ou0yoP>|0>~PXuuDh?a(9tRM(R4;wt&&CL#5Es3wu9P@U^z
zT;<EydP*Cgd}gGj^0*Sz0js(@Dox*d+KTg)>9xlvby;lI2O|<(lL}ta!4U0X_MEe0
z_s?%m6WnA@R1h*MmA=M=A>-jOda^1p+_;lGu<`8K<g(VR_ZOp;g{G_z`t<E!o7r2R
zmSw~B*VQ{o^C=J_>V>eY#S-9l3C9|*8r6BXjV|QHfwn)_p3wbBPA05jZYj9Rcl|k^
z{E`RIr9(Gj+T~RY$2;#3l8I4E6PoN$?5kNw`HQc%6CIp|?pPwE3Sm(O8D_UQVoz}J
zlizj<-L$e;)NI}`=lFII^anBT*zS?q*-Vew@0g^M7sN^@BhH%yg@IEEe=g$xO~&J$
zwvn*ulgQLo!3fX(JhG!`_$QwwXN<`;(O$Z%nj&25NveC@gyP!`zBB(c1?Rk-8$sJe
z6J=m#^IAHNc2FaDtzF^k4u#DL3;QfGu%!IuWWbf^tMDx!6J>UsGvuH)GB(gh(sQ#u
zZ*L0Lt`kPZ$Y=wI^I}Q>V+?Q|=-$-<lr&)erwj#_$Xq-;FBhpjNu`a=%_|nFLI8sV
zXw^8`=m|hH0Y;rdnV1aVx|k_exQ+n0ie*2mn-PFbdqQD}Nd#D7tc&y-!aS~IfZb?L
zsZPR;I4tP4EbX6pIIT$q$2kPDf@bF_hY4>ysx<y<g7F2FZ{P(9BAbg*Omzp5vPg+b
z${Ctz$z^y!Pq7P^x?tRlTSuV!t7)~g$M!I%hS@h;JjVS@MdaQJx4UjmvJ<uI+*qJy
z72%zH)?)08pB2u$T_#>38?lP-BF-6<`#E;otC&A~AuiN>Mf`;eEistr4OORN)w_()
zRP0PF6hDm<aZQpYGt%jZ{(^U6R%Olv;R!_4Wv=eKjpS;!r9u^9gE@Jz0w`thAwOp6
zgoj|7afnk-Y3&Gz1T|0}hdw!s{b{^HnE3Li>T}HJ+?l7#cDf$3EUaw_8ZOIZ&ioc~
z(sI+d%(SA;6K#b^cCcMbE0-7PRvTIGQPehNv2#den5u+w(3Q{*9D34U!+1-?Hx();
z0qMi7X6Ny1hVLrwuoj3av9zrsBFBO%Q#Ci4*2?{LMlt#u%FbntzF$RZyn`ypa4eOs
zvU(Y43lp`qY78sx-%a3}A+}<uU1JWuR3OyTxFQ=W=S|bd=~@}1Drx}henX25PaZ(E
zzeV}&)6ew53F-kw0#3hN6{*ek!lbRt?2w?eA?nlC2g@mW^SlrzASJF3jA2tkm*Yru
zS+7-XfLk4%n1}g=D;x=!a?{xJ&pae0`yKo*Gl7(9ECGi^K$_y>Eag9o<CK@H1kK|O
z#wWkkxdKB({cYk@DgW=1;o143usP|fPo`8IKaq^u%3PN|JVRo0pG2Q2&DmxIR6w}V
z296nd2gTWF&l816z3=OWsFPOmH+a6o4_`Apn^>zTY#R2`V5ClRxv?dZ$C`RXt-C+(
z`&_rAQFtR0<O$u@em!M<3d(NJ`ehF!I4=>WSSaYEjaWzCFhN8ut6*y`pxiwI3_d)?
zBcS$Fd8)tLP4Gy4i5Akp9$wS9GsQ*8voth%=vP|wSTuz>h#J&QRL#?c9O8Wb9dE18
zRu>odH5|P*7|eEoC-QFR=MVC1g+eZ6{Wn!G%WKZ<!(q+uaA7-ghL`y8^p+o?R>2T)
z>WgNMsdp4Ga%b?`LD{TKpV3hgLbdCIV^W8p(5=13Y|`3ju<DuY9QPRN5M`;e4H{59
zOSr->S%-e0t1Cb$o7c`_5gTC&t1qCuzd>Llw<gSY=VF22r6Km{OOT5ewmuC=5&<8n
zZ&W|`vm3^_%nt@N;l|_W?G1C3D%VnWuMrSOMGXRnO(#@NdOiAvJ&W6ksn%vnp-V@~
zy2M4vP?CULfc3d88DoJ&L166+XAYIn+2#|rkrn+@y(HIN`RYsYS%g6+W(1sv_=Tj-
zlLCQU_uw9uV`s&T1jH0rFcMMcVW1E?8LV!xne6wb`q_jh7Ek9vm1$BH|F%KM1JoTw
zMa9=#vk`E>0IN*El@07EfwsiglpvrxDEnW01MWAyPEV(%jtmxny#Kn-Y)0;C+&-S!
zyJ^8{Htwj>sb)xr?H>H791i_M(M0P{wFR+jdQvRUn=pE6g017;965p2!-(9EHDgQ2
z;|DCk=(~ufyG>?dWoMbyg=){V2|;OV?pZlr&~Tm>f$d8E=(sp*R|aG8us@kj7?0B^
z><p0Y`8{-Vl|P$oO6vB2T0ruIddZ-?sW80Tl++T)f%-w$>iJYXEty+)IEjF-jl%Y<
z$kJE!8m13i0-q6v)CZ8&ZD`60PErp%K5iD4_QuimCv*QS++&#t@L@e!*-5U^4%85d
z5Ep+jJjku!yjGd@i{eklDDPI+{Vd@=u2U@;3-hD2{;d_Fuwi5)2Jqj9B^B^Ov1=z{
z)X0ai#0&p8`(;9A`hLG&ImSKb5#_sEw1Q60v1e#3=yz&HmgT*7_P5+T{a~Z#xqB0C
zjRP0He_xMY1kUDR6r&N$=7g(R_HBO!$Rh;8qs#tH{=-8`>xh(rFE;v}w48O8!i|6o
zSF)hV(dx}xA4xH*z=fuQ&(L~4aUY$-At5XF2iYGHNgY<}wP$K9^kdbM_C%6s;=qK%
zma}t-T+rV**Tqr%)R}Powokm*_@s%7EX5jPJyYjaazu2|R2Kypzn*Az(tm-I%vCht
z&HQuWh3F?Ir&RKN#@SVAAjP{O&NWAY*h)1B=4K9|z8Nx{zECg>U1)DsksyO#F$wo=
zC$0s-U^OuMgUBybsPBrnSJG1BF8}2PV5vahsiQz#W_q?x7OujEjsamII9iSNCJ?ep
zQ(X&`#$i!)L5@Q5e^6WLv(_2=c-PQW^6YyUF8-0URm6OZYJBRr)I+vrbt2;AWI!}R
zYEbcovgp>iwubOC{(GX?LMykN24??JGFdc5;T~#vS1NhxrczK)NiU}YA=ka;t%zC7
zL|jyd3Yhpz+g0kLvz7<Tq8Z4v@)Z9==X;=tWfIL2+&9Rs-l&8V%9Wm<HuMrTiI3G8
z@}WCSnd_(EVnlEdT#>nWge+K{9>(?arCP9fLN9`BGK8xun#H~r7r_j#re;#Qzxp}(
z2vV`q8rA5xi6)jxMFCME;%d?+qBg!tN-Zh10Uw5>2f|<TQ3lky334rqi-c#)hcrew
zuiJ~QlYX8c!$g|6H_b(X$dsHD`Qsg34LvTmu0?QV>9C4Mr{%66$KE?scoP6ipqrm=
zE}=pQBJX2wxjvC(LiU$<tdti@Vz}_2ei~*ag||o2XW<3G&YxNWdn3dNC47CSZvxEW
z^3vVj37_n0WBRr8jV+@isa$rQorf{RMJ9}4DyQ&6<;gvXNVSO~L5{*<2QoB%RFVj9
zLt+hR=|iilK?1J0E<v9Pm6@njq<+K)-&?+~)Gz)Kj&&_Aif;~s!p)7BMjEO6wZ^cq
zsQP<*G*k`UE%ee<QWsybl^9Oc_Y=5ZJK1k)!7*b<#jJh=PT92CA-kTmzg32e6%>eY
zwl7S-NSI*Tq~B0J#J4qYP&8E1dlh^6m#IwI=2WOqL=eq+_p#>(PiN}u8o@b$(yxNN
z@yx}Ai-+n%Efrgt?7Lyfb2@A8=v9}0$QE|H@|XWYT1#mlI(bkc*d;hhwa{6fp3y9;
z5xg@=PZzsCDprk5G5KC?fTOf6pUWqxvhfi)570QwtViO<Ffd4yP#U71T6Q9_Xc|50
ztTy`)$g_mJoB^m9qRDs~$KP}Ezi%X3&xeR>dtSV~pI#wz=W+NOND~tiKs<G=(dzUu
zMF60P0AEl>xM-+hhuC+jRW80P0Z+GUzM~(-`n*B=LM|49?h%RYfve*<E5C1+3P_Kt
zi)B^14SoEuqeBdy(gkK|mcdsIofnR)`Im7p%|y;i5DG)0q1p~bX*|n%fxtgLyEm!2
zc&;G=ss&ZzH+ibXpuieDA`AzFQFY56%PQlJZgC>Rd<%XJN9yBsd3BT+6L)y^rTiaQ
zp4~H{;4we;Pk1L9&{hq7HYoyH+2_zVmSYHLl}g=Eu2LbSTyM7Jhi7l?Tv>fcu22Se
zLWZDQ0=EjnVUYaTUiJ{cc`!swL8HY2mk)I+l(BMxkUdWSh5#pm)7C#ZKgb(DWx*O~
z-7w5cLQnB)GL1C9OMZYk5KB|ZZ&9NCicWT8D|`mz?SLu)(QbgE4HOGCH#T+x4L*SJ
zKp!z5fa1tNcsBu>^2uEJtX<1mib<+9;XhL?B~m9OvuWA(qgQhv>2q4R+{{S8k?_Ly
zdJrV{Y0^DYdNuO=hD^y{@Anpict@D&tT=@1sM7{nULP{9EWZi0ED1qwj`YC%_SGHB
zHkQ^i=mD#&HwY3ld^IhtG&QePpIa`Ez$d;)gR4EWF=LC9B_aIR8SUU&4i5cb_oy7h
z_5n*M^WqJ7bweA?df(*@6O?%)^9EAh@YVC@Qf+k`=<Z~WrG&<AD~$rl2>5a^jBs`X
z`oufa`JNLqXKNm4%Mw2#>cTFZ@-L)mZLa3W8r1UpMF8xSB!k;H^UU_H&D&>h?^A8!
zTVG+Ou6AvMA#|}|jo_~T#n@X$RoS*(xO7UFG)OK|1?dLqZt0YekdW?FkS;0dl15l`
zBOplEl5VLbh;;6Y=Xu|6e0z`Y$96dUp=0P^aeLj@dCobH8Sa32v;Hkw9FWwj4H~|5
zbkNWO(s0Ad?Qc&xfFUt86}KKro&r2}K(P|o$qnTKa6tejdLXBT_X526X+oUe=EGtl
zo_;ps*KOE;m2#77cCVLCQ}xc*LRM^L*>4m(RaXD1;XkVy==SJQkCxE+i!|A_Osz;D
z>=m_>jl?TSz#H^hWD*Busdq&C1srmXR2^Si%&RTK;@59~xN9(#oOs#bk-ehXBkezI
z@JW3%Ia|Y_H^;n+OmK$#<nZFz=`>EXv)yK=){S_L#3SDZlv=aWIRkD>@!-aHhYqma
zb?px-9WgHui_I5YRo}U`wh3p`JHN4y5HS1{@QCTgg?7`3lu3qqTboU-69FC>Eo-15
z9RdC_j6?n_I@3c8sGP)$Y$H(R6u*(%tGtr{b)4ps!0#g-e@{4Xc)L12QEX62JfE6O
zS0;Am0$o8+weEn0V|6jInHm{<ikH2+F4%%&P_xwO<OPBt8^}`s1pvthv>*_-ZhFW%
zY5+4Z+!gNzSnL8osb(B#rUc#$lQyqsrFWJ91`4Koo83tRes8Py|9-}~C^W4zu@iPl
z*DRGpvf)#umQ%6i=oX??9=yTSsh2cTiX=WNpY7grgqu<swzd%-Ogmmji!0CVdPFOD
z+RzhX((tz27Iic5y>gB4LLuclh?~phT)@kiI*~oSe|zm(>OvAYElM{B<s^UK4}YZJ
z`bA4;$$xsFD(xAy{$&l_`qf9965lGR93!?=Rcw3&sEbO^Xk0D<`Mf+CWlBK~wxHq}
zQgk6zpDl}g2FQxVLPvhsCBJ~>nv8W<N~!r`^Km)K+PQWzIWYP8l<*xqy5wzMNfFu&
z-rW0SG;|5^9xYtBEA;7nCr$ebhoBX3tWUvm^D_wagC?eXQ1(~f(b1uTaVviRSDahF
z#tgs!AF}*n4}&a-0ZtEdwQ~Huo91vOXr&Td<{4ibA`~+EIoph*Y-I2oV0CC>w8ZbH
zPm6}BrF`U<WF#koT;=k03UT7I6^Iy}bEKk!7YK0p(rV}hO|*97>TZ4{l5cuYF?)P3
zhbF_wJfaNy#02yU)36kCMm{0){_63WM9(zPdw<ROS<0=`uF$idZx$VAWWn-pRor9U
z8)Qb7R1qE%`oRx`#8eP!pSACNF(}Xc>lX}e*~7+N<^PaJE;tsBN6yjnfHi8p;m;FM
zibv|pRd9i0rcl9f6Y2<q5LrZC?%G%ftcmul<HUx&daAiR3o5{QS4AugO}?^h*b%b!
z=f#g;cTTx$y5;$%G+fqcEBbRsTA(uB*yr``3*kC<?!RH1^jB_BueB^=11Y(a3HZx`
z+xZcV#!T&?M(SCOe*Ii|JyKnD3$db!)B`d%HZqogPTR-gaOh6ppEyt22ErbQWa13@
z)6cx!CT`o$r_h#Z4vapx#6{5`oQD|v<{BVjm}<kPy)<9=5#A-EUmTV8V`q|fS^_P4
zVW&nr@QvJX+QbG+=iD}1;tie!+ViE{EQmq<*lhch?w19*m(}OP(%+{E^O?fX%F6P^
z13X^UWa3KYiGB>H7BGuO(j@`yjx-`(M*tr3(9Kh&UuyyA-^U9eFI)kRFW`IvwjQ+L
zz-xFTuu?p@COjq1?a}{zXUf9of=f#6)qUXCuou5dnzI9JUKC6CXxGH$eb#K(C{}$*
zQLbQqJx=J=>BwJa+?V;fRtOnAi>ZM<ScoKBYj;d#21k*dWW>@Ft$SVrp&sv<>+c_)
zGUnHyRjtJ`SwyShr7+Fs{=W-c+^rvtGL{?_aqL_BX*fTX6olBl=hm?=tR)1`xmyNS
zf<%SVb&>Qnk-2R~qJPPB3<u|gm$Md<bLYuU^L*QHHG4OM+S^yJA3sZnIj2z<b=qQD
zG`~9)7V5bR&ycO+MvUI}h&+>fB9Nf7C0L*2h;a*Q1b{Xr{t*}*K)l==@B!sMKCT7Y
zI9}jIFWB~gBjp|jAR_oZ00K2%AQuOKm*>%@H|wDC1_oe-_&wlt2nF=0haMhskK(ic
z3=`UYvGy)3@lBw$-VlMiPl0x~2Ci?BM2A0@Bk?APlo5UBP7TSBc0RE3JF$`gQPa*s
zGz=%*<E%fb=#A5ABZf@&vv;GmBS;JQ61~#y_U`x}r*rm|s>?SR9aSL0iXwem0UPo@
z+?cu*Zfb{W&c#`#wCP<KQfehA0({Ji2r<`heSTSV&JZtg2TD{w`9PG59j<<jEsvyV
z7>++He*CwG)*~zY0IH?iTjff7O;JzFv{yJ|l%V^$AP%oGT(YbT&HB_s^KlAlZQzqX
z+X+rqZTs7S&%Z2`h3}XBN(VNiXFY?_qihVYY2pouq@IHTdPx-l%G&L(yn;uVY%^1y
z9VY!AJyI138Vh2C+RbBtItoDZX~rHu!G7Mr)U*>E+x~w6CKNO}P)ap{8jHZ=q#UZZ
zU5H7{Di3unf5*guGld_py&ed9pr!|x9@MC9&Kf#D6cs!_P=+)7k5Sj<&EKk?6~1qd
z&S(xC2lzh1pF6+Mc(v!%&dgcAaA;kyd$J5+<*wtm0tnD7Y)<Lbm9wJYuWecmv{_uY
zuxbB=-eR3t+Y!evXf`D)3t^QNZ|lD}vxvrM16_>N!T(zEJU=hp@4atwX?s@{qPbz2
z!#9+L7J|(C>cjAiv6~vLhIbKdD5vQ5ZgC=W9`sjlOzpPZ6kzV(p4*{zZE7wFcRCx1
z<9fI}Z*>xM9Ow*VJqT8jfFLgXR8`=9cd>yJq3BE>)-n8<{f0hp2|;K>Xs(ybnDlzR
zfgK4}E$2%<T=cj+coGeh_yFQy)8L4luUDJ&7XY~el1hI3;$LkP&b7=&qtPoG-F*M@
z-!1mV@SqOf9m?x=9Yx5QDymu5wH=*@Tb8$|cl)XGs&QdLmR)?xQ9y>rPJeRC0m7?_
zPghtcuLnCL3u^u%9h4RNXupk6cahsW^8A9eZ~|Mt2WW!qtvXwbcH^{IF)}{$ztWjX
zws+0c7iOKjrLfi!p;B9N<D`>Rmnb-_Fh7WwLW&Y<3lSdTLA-RZh=<cz*||=}ef_vH
z!B4240ENZd{X$l17HW?Y_4g3<rf^i<2;#LeOE{Yu&^34`WLJhjqXR_-rs0gUmzFk!
z$(ZA*%o!Ha33LXZr8-|*Mz<`uej1giL`l(NtQY0t!<F|GUckSif=m7T)l<2Qc2*kP
z>#iLVb+~G*#o4_6!ExiVFuem8bXio96}~bO_qf@-UvqB7PrgefjfK)@Z)#U&Tv25O
z{Yv5sakdtt&+jXmJK3-?dUb)UMK^E{mSucgk(7l)A+)U)0c&wFO4}RK%93+|9b~jL
z&ksKG{i^C<&Yu-H{&uP5PK*0EAl=ETD}EgsS6nzrAngn+xDmgST_;|w$I|?TmtX~o
z1W0S3VoFo@b>-g^Ud%=qnelqd%$d!(#yJYTMpmPhn9|&NGLSvgTJVnbz-b?ispe5t
z8=dB(jOY7BJ+z;Uu&#qs;s`1FHYZ;|4z)XNSjS|BB}D}EF9}=h4YsewYUSUi#O~^6
z48MDe#}jD`;Vkb79@U7NaWBn9*xQpvf=P-(r?FpBOn6-vm$C~Z-Yh%&TOF8>t``&E
zU8RkR6-uhEo<DI#%3+XGktXyykb}5&ks1+-|7uKL-bmhJ(1SKE*ah6|Kt_8L-~F(&
zj+a4oH#XpZG^jL=^$X#Bqr<CX4+L~rflTO$L@ML=?v{Mz$41l#>@~?)c7qZdxm%Nc
zW|W}^F1fw9ok@jmb&aU%<QN(LbVQ`QJC^VBlEgejbT3jV2ujP4dbuQXEF8D;vS_tr
z4I>Cx`beO;p#>u-uEFNrQ!Kc*c^<6xt+hBpkMYSRgPL=d26v~A(_+<Xl&VY?IaFSG
z+TVradQ%Q;+X|Fr=ioM+6P~?eZ$K`2HlotCi|owV5x!|z%Akl8U03|dfOi|Iy0~Gu
zfS_O6h8tO!lBwH1VbCx5XN_KTd)SQ>i3h1H5_W=P>-VA9Z3h-Nq)w39-3L?WLoqC<
z5CKl}KPlCITcGxQ^o$S{?0(m3K?Nn~7cvRFJq6oe-3`JS*?*tWj~xNs^WwLaM~%f#
zCIgH3ccyD0!DxRf-5WHj3v{iMI%It8<_!@tG2!Bmz<Gr7Zq2@qe(W10F-pEe58<7l
z;^z<9q#~)4*;T-qt*e5IVXcL5=H@!aySW?JaH%V+vG@4(PxKZVgvDekp~dH@vdXc9
zr$21RW6C%^nA9e2R_=7uyz$_e`x2pBr?}Bw28kTnc-cl~w(2wyQ-914GN%7rx{AW4
z<nkDvGrlFEP?6v+p)4FW>D-Y*wGj@d5t>Iw;TaY<;&t-&ol_kvdbL%5*7W<+NdImE
zZ=UgfqT+?1IE}tw$<sUL)t6qK-%IgTg0`Z2?%H!3o*uA~=u1sTRbrE?dj|^5k4Gh~
z?Rzn-amqB4qsjCzFT1M<k>`rzE(U%whKjlg6tHQ|2Gt~NtCr6{^C9sUY{g3_x&ZHC
z{;;=z@EC9e)cTzJ%N&SS@eOD@_l2ghnt|SWknM7IaPR}Qu>U;9u?G_(hrgEsZ*zK9
zAj764ln$M5dT7zAV=!E$6)^EQT~KypM(icN{?Sj&jVr7j2s$Z6m_)QdUXW{vM7FTY
z`;E8tI$1Z*<+5^w$EDDbAlFDQ0Au`z{Ue5=rukIH7_t-MY%)5@7>sG(N2~I!*7J@h
ze6x@e8<pqgDnZtv$r^789<@`&4Cb1MwMq)J%bDthRQciaH4mQpG6xSBZvWIo%A$J=
z^S0}B)6{au64BB&%OWMPbzbY&XM8(3>Bd9uco{o`_8umNa2B0bTmg)Cw56w{HQ#Ix
z_CAk_*!Vb=nkh}L%pa9hEcn;N{a{n+_b$2nl6qIZGt4AUI(QR2qTA;L*!ejZeJp_c
zq0WlS;sSc$D?!=-$XqcoF;gXKhajp5emt~I#nE<xTM+PkF9L8T5VhF+1b{bwYdEdi
zu<`db$Ta^Mpj}y9yeZ=L-#zcV_b*Y+jukzFk@LLH{TUGvan2RY@&yX|n@Xv(nypsn
z#YqA?^#Y2QE;lK%w<4Nu)A!!GjI)`}$GqYSe5v|@uqS=sMIFW`(d6Im#+GBh^9~+w
z@tM&jmfGS0m!z2sjB0p;;h4KACN@GIK{0rooT8swt=me2G-}4;Iu-I1!VVp5+Fx&;
zWV*Y+`PPYESL*Bg)*%x$B0JH>;B%0h_P2f}R=a7r$xj4=WR}`bE3JC8B2(AJa6imX
zlcpZem{481IEca!>3W2uX`}@qpE&HZCW-0|L{1*JxQ?pjJA6!K8jn@B(SMuK;P3g{
znrX`RHM)SC(NtJ-ztE2fg?VWzg;!deJ0`ULtO7QMWj%DHhWrz;q`HOv@=3FqW{==`
zhN8+e&693ej((>vPE4Y3Iy~GqVN`}uh~A$5e~9dlit-TI#S8F0nuzUl#qho;8e6fw
zQQyeLl23a1BrWG}GHe{7)zXee$RJL|bD^s6@p=X0=(kk5UU6$9|7rLn%MuUM(SyYo
z^xX0K;?XaH9&q4rpbvYXv;&Yk@af~xI{+#k5XO^O)J%Y`3D7Sf3^@bzDp2x-M=N#%
z$}}FpRMpMf8Njjro2>KV8#vW;0g+4!*7EL61od+3;6r5Ski4E>TOdg(?AVxs(3GKr
zZKu|QQn4<~v3~JSD8<hfqq8&Pi0U^iC5s)QKNhrWeu!#5QA)(Mt78;BLUu+?XHiaU
zIiH~2bMQo0BV4B@KiK%eOW-0D6K37B%>B!vD;}y*##v!qQC=P<iJqywOWzku%itIF
zNsIy&{NL0-czjkXjrov}Ko6Q3U>07D5_m~dT*-5sYUo4u>!sLeG8^*rUC2}|v7-SO
z84I<(<8*vlK}kK?*6yQk=%#gPJAkdZyE)Gcn!QHs=k~{LJpz=>eP=Xf^_T=iyH)Hm
zjJFq7RIAoG=6~_Kt*Y#t#GvyDOiN-Vr+-~gQ_0rh#KV~on)W*!l~_;BOp`(9pnY|-
zu_X6XAer=%{FF?lq;!`(I(F9II+wqQg{fvnb62|61;_rwprYf%-R$;)fT#K*=R$$X
zb?($Q(MM^p%vnH7rjeDu03Bshpl$R4Obc2JdL!|;{a_%v^w2*Q1_<Usc>X)mKx_uI
zX@>p%eK56AO9`yMX8>IqL{b9aH$m;U4{*0+f%V8?iNPNr9e{inP6l#Lzk(7&J3Q6S
ziw!k^Fl!?7#OR80W5xC73vIjkwk3sm^d<6E_cnJn3oI+IFSE}SF{u|-d$AbZjYL&!
z8-H?~j!mJ;-rfkQz3`Bjr|efd-LrD&%x*bcJRcl+2A!x)_)8Jco5k}o9jZ*$T&X6x
zQ2X`v)c%9Y)!X8cg*OUkv{v6cZ&l*I*_S8?j}=8ZogM#W30ruE)WQ=inpr!BWYKK5
z`{I^|9+Zrg6q}pg38NmdN&NPC%Z+RxXN;W|)<h8;WVPX8)NY)<h<lN<^1NKdMvBV0
zr0Znji?fg;XCLI|XWj<%$7j>!ln!T}XKNa;!_?UC!RQumCic^0x9Lv+vUdSg98$78
zbd`eW02!A-eJK!Y!CJ(q>FpZ$#6iRde5RS1nPAPdf-hxhxp8~GB5pMp4-QCxhUN^b
z0lx;^UO6te35FekrfxXsM9Tok4qzhz5a}ZSv!5m7$G$>gV*k!1R@7d`RYtm-v+>U-
z1imdtPf1wJ7gtFuQF7y%Gz=+D$!_ijiQ;0iWffQ^7YIRw;Cw9x+b-7Mx~8V{2l!sj
zZp>)zO;4yuVv30BnHr#R!}RjT4Y|HlIRMjXC?^~ZIPQ{uq0CH_eI!*m;5WeC-K4a;
zYc?kD?$82Jinj3yw4LTNNd2^6`x9#YB`?L(cZL$NAzx$>YnunI2r;eBPPQCU4(Qmz
zEQ=X^3%|qQ4gQ1tpT250Dd(e&oJF#;{I)O6Jx9y+@L~ORPtgSFY(__Zd5*9OcUOI8
zQP;=trD5vStVC)&O`J=vysv=Te)~vToNPKn%~xqx)F0LWiRW_t(c~9BuW|0arM_cr
zCq9ZPkt0T#9u12j=P3q`3J`gDp!PqgouEJbwx813sK%`O|93<Itg>v8I$bvUm)m_0
zK}Zh3&V<3H^<l;8v=sG0>|sC6AlE=AdgLL<Uvi|d-JQexapiEmMmR|Vn=M$-XrD!k
z|G5qUGIGK;p)pr9#q-k05nQxbow;GsY5xp5bQ&5jdztt(1no_Q&~0boqC3`2m0dVR
z%v|me!L*Cy{=%-3mbafUr8Q@gM(&+5xFPmLxog@|V^Q~5vJ+39CYc3KXzgf8OIIV>
zEIL;ZmsY+Bf0>v<+Nh<Mbrzpd&Kle(oSq_<x<pqb9i$b+S^oA7Wpc)Rhs&2uHJzsj
z6@K<Rh3vG|aukgrX(Tv``FnXMr?~2}D*N0rw`9ti_xKl_aX~9ZIj`}g;oQ9IqC~fC
zU!0<{2D7^O`S}AkC|A5L)`0Ey8Z@eas?>*f0}z$LTpb7+aX>wjt*!0DsUF;QzBls*
zU^76Uf-i^w02gFc$op*OqleDyxz4*&{GQ)St=#P=lMkE0u&1Dkv$(jJf5q=B5Ul?r
zM??815&wBJyueXdwJWOPt-*Fd20T3Jb?o?7tcB_~y`Wg!nGFi95etvvQGhvl!y}67
zW{9C4wZQ*6#RD`sJ&J<D1l>kO{7bc0R4tB?jIgYg-;dIEh{k_paS3Mn4TYPJWqdtI
zZ}-P@@;NvR?ckkp`KU5dQ*B|S+QSt>m*cW9Xq~p?`h=awHbhK)yFkegy%BGO`JOQ2
zvhdNL8Rbb@-P|N%sr(_>8C+{0?IQ-Og#7T}cUl4!ExS5o>(gnf4-%e_TI<OWj>?sG
zd|U~0`)V_egpfn7l5UGrQO+uOG1nx92FOd)IT04L*A7FCUv)XfL$l~g<#G}oG5lNU
zny*$^{vDZm4}+^|ZYByTYOC0M3crf0QZ{#5Q()Ql@`b?G8j@$UBE?TjVKt&vtMboL
z2@+~mDM$(bcu=PIQNX_7Oqa@7PS`Q1eoYHg9eH0FST%>-4zV|y(%DBU7^t=0bdXiC
zQH-XBfzCm%P6d;^4YAF{ui}NlcvqYmDdj_^Gmsee$45Cz-U-xw(F|~(*N{k6H%h}w
zo-?-OnEi6~R^)7AilPdh8OU1UxfHU5JCnH30n|KN*P-Y+`-SeLufJApG7Q4X%8Bho
zc)J#+D*n}!W=t#`jm~x)|EaxI{YFncy=+LtAFU<Q7+59QZ(@p^6Pws#o%Lj(a8US{
zvVjlb->lVh^yTktMED=~f_>;q*H$26WQ$ThP}T(A$bH6kSRNGnaJNa!TO@$MZd&x+
z?wgc?E{jh^Un#`@PM1snB}5FA5>x5qUsX#iL>Mbv$3U2o$-Sn@*f2BF>j80O`?q!y
z$h4dG6Va&|YzL$A=c*xsGv#_{u#G(FVP3Ydvu@q-npTzTRhx<VsmH#Gz7QV=A$EOy
z=%{9kkxc}8EfR<kw_DV99Z)UltCc~iVcdb3d#=+slaIVHRldTtfJZ5?qjvN?E(iME
zv1La@XM;ADf7Py$`jT*^F8-%qsaRCD>6vuP>Du*3;%X<wn{n^&+T+KVtH3Ac6Mswc
zWXF8eMk`|u@!E#sJ;~O@GoL#PEGUg6(#0Ez9XuYqyu+FDIri$d$!gP1kPFNLrKI;K
zYWMD7UK~Pp0u3l&wCp%K2bIP&z}d(Tyz-!xQ;z0(Ea2>`Ga&nbE8M*2ioY{JM<=NY
zK^ACcasNB9UnnonVTP$`rV1djdXF-4OwoR}zvp1W|D~9}{a-JDG4iIYO!@vd#r>ah
zR}0@skBe7Diyw`D$75n;+7EJx=SP*VZdC;n263pNk2*Vc{~6*@w6JEd0*j_SKJ=XJ
zgb))gHKZyP#aScXX8iHc9|xRY$#$iq9u7VZod#QtyaFPK2VICZCjm&}oo!_Jb`?y`
zXp<Oo3-l{c5lVO-lnb>M#wdzbI!!B@NQ#tuI}xMqsOo#Qv$~^Y(Y^vd?b4d?%?vO8
zfl`a(=Z?9nhjq&r{3VBW6c#|K^W+HhSqg6@Yjqrjb1P@?Dg?9wz{f+T2}&CHf|S!>
zx-;;;zh4$(q8(U&L2$<aWZPD|LqTD5AXxHN8@KZP@6XH2a3gz?5W&~y72&JsqJ=M`
zgz%UmwTK_pQlh`!ep>h;moX#RRod1mT9d4Iz!|05sv^9hO<nSqly1k%EW`nc8~Ffk
z)3=+R5JyjOo;34AFB%*?uZ)?3Q&`+=oozT+roEweMy5;h99bqSFf{n`EYi(+;&!sb
z*l7+fgFL<@em$N5VfU*^RF$ROd186&rJrB!&Q!i*AW2{~*^Y9+6TOnuEt!~NRI8nl
zE)}lXcr}-xgTrJ^e6s34sfE3|@qRszZIH3GjCv&0b@Ed-%pU&&^dEzgy))DMQ&Zp}
zB9pRpbcBPnB<Oi+xA+zX3XmN@CC27p!s+QLz*MkiJxSU0gwM~kdLD*jlRZ3f;1%5t
zz~rC7&Bno3U-&-<d}f!DK+)0;<gV2BHj^{(`+=XOp?@~%O7YTcYoLL7^fGqCpM}C<
z1tWN=;8kU3Dr`CbytedbEO{;;_ChBd&(w1^tQ^gOA><BfnFWUmi<XOBEaZjf^4^T@
zp>PSaAS;^@)O=kes!_+JC_Oy*L{yvJg^5J|d{-?)_8>JhSCj6jUZC8Mdw0(z@$Z|o
z4ivA9dV{?_F1z6=wyR(b;V*knN*<x1Qs4$jMvO@H%)%o-fS`3r+@;dG-C*_y<<}EI
z?;?gO#@+PpLj+>bKl9}t$x(bw!|9|DSI0qG0oUyZs~&LfvHEGUk^$?L`|K;5aC|`0
zM8fk!bX4rV1$jAfP*m6oELp%M3YxC?LCNwEG_oP|zbY<G4fS?Fb#(;X3itO@V+uCq
ztwl&E(orVM*bJ>=Hpye+gH*Vfdt0QssSsj&nl7fD6Kj`hKejS+q=C)ma#6dqP3sFO
zBU|K`z6{H|LWMX;wJ0VGeCx)v3SdvPD6P<xJ?7krXiIxUzeVC6nn{O%n2W6(=W!s6
zmFp~(*(H3stf}iig|!#Zo`{mLtUAEF)S(6I*DaA%FrzpOs3f8caKxw)pvItP6R~Ys
zWS~YjEDSPWx|u)7Xe%;G3es8vnE=Eu^SL;}$oZC1BH)`10uN{_=U*Kt55SoPEY+8-
zK<a+buhGShg7Kxm(g0M4d;DJf`QV$CTLll&3;XHP2e36T!FuiFMLy7HA0EXAl@Xd<
zLEx2=>b5ypJC}D}0QHOxP<ml$8=tup`_~ZDE*Pzby2NN{IZZ1+|K+f4ez2p;AXV)b
zzN^VCqrnUpUIAU#rN-z&Y^x6@dQP&y*6L_Gfj>^jk<TQ_Le>SJ!f?bC-Qe{zjt$*T
z_ZUw07Sh3##*nK)u1^V$O?3RoTC(Hl?dy$aI!&9ORBysSfdVWkg?K;djHUE*j*GXA
z7on1vjz;A{JBFgK>hQc=G~6)#eKE>JzG5?fF|ZVrTvliHf6w$o-$Aa1f#}E)zO_HQ
z%*@v1k(0Wx5hXXd_qm?hhEqoYyWm&7dx`sy!}jd6qw1mxO~U7P@jb;muW%~9QVX|i
zs-HtfyR!7lWlp6cHP?$XoiaeJJ)|V-81SG^4}S85)c}q(Da@AxG!jC=vj%{!VfbPX
z)$NzVrps;Ke<Q_C^7hWWxarUT;X&lmcu6?P@FGG5b<ErcnST&!PyQG!oS8U2miMEi
z<g32*I#xX`vg@eje9SCKo~(ts6zf^DRDyZZ#l%}#bmyI+C_!$9)P07c=)h;2?B$z%
zUz-5&>DD515)^gX_byH<pCOepvO?kf6{_X%_f^OQ)J?RsJ;;Xxa-v*hgr_=wZbh+M
z{N;({w+r5PyLHbctd`MjnCxwyO(>QymX4KJ)(|PDqh#F=TAur^+L<8hNDhm{%XrE@
zVYieCSwEsiFc_qBGyLqoTVa87Q?i3sULqB^m7>Q5wEXT6RG>`eaFES`4E+OR4+NM8
zAd|?QpbQ-p`EY_1{n2VSSXXd!HLZp;F8l1??)`^u0xqNtH;Hh*A6UtP2p;OZIC*1>
zOf==}RRruxsc1sQqLKmCIbBouKGd#MnZ>F_5s1`>6!U?mcShF2cj;9M3)2>9V-3Af
z9yPL(lg~X|m#Ss*AtHWPU3(b{iOW;w(@e3OlQU2}Ul@Bs0cHIPfWlU?Gn;EY5B%;q
zPdAU~mc;Xtwio5ZYwf{;EcR}pbH_Ow>xi%PO3%SgLgFvtJYA)zf>Puvo5xFptALte
zBA5>SZQa>bP1ldI+J+rO-_t9-XyY7i#4MLp%$_-Tsc)<9lb5=GaBT->xj%+a-6Z!<
zlKB=A%`hC%hk<G60UZJ=ZNxX@r6pFuZu%<cW|IXSC~MAv*9+j!LFIEhV9tYP&E2``
z72si!#(0=`IU5)2z&s4D`fBOVt-)*I=UI)%e;6qR)uuIPYJu!Gw--1C*n#TyivGj>
z=D`Y6TG=F5dD}08cUQ&>e+D<o(ykYuFiD{XI~h9D=3*kbzZLWNcGE-4ekdRvs3a|2
zi`v&rXghGmJNd-1Uec^9p7kp=IGE40t_In;9~)eRs&ZB8p{z%a4vvU29eo;_nIldM
zh8L!+Oq$Pe#2UN@Ns9x5+ya?viQQV<^?0ipRRoVzxkM~f{hT_<M-`t3)XjHJBHfEY
z($QMFM9qy7qG?^Nf0D;>o$DUD^9U|3M6_6jb3%~o8O1)CUZ<k>N=JB#(*K%CYZn1W
z@n%QoBr1iOP{j23wqiu~Y=J@hlNLgiSv=R}<9R{ulV{V_445MBTCdx~@J@%)zKVcN
zJIP&_C97JAUfwKMR-NA_@HtODLHJ8VwH+Y%ETc|!KuhlKntgde-mQw*Aym~cqu<iI
zPFx7Nh6LRVg1i|cK(cG$XpZ2I&4f`s$Vemhm+FElU{eqPh}vxMZxNhrR@S-CI0ZSv
z7_O4<<}X-oIp-5-p(k9wU2A$Nzw7Tz?MLURt8HxXKbkEu<L2^AZ{pP<C@_@u^Sw}4
z^2!MjLfcg(kh8#JX;iHJj*Y5rf+$ZK)t<ZPL!+Co6SpFP)#9<QC9;*g`%R^iv3*!c
z*RG{kcuT{9?){3wC`5?dWg0)`=#$~Xm6Tre^BEYCQe5im?Z~tu{Un?iX3R-Qq-1}i
zHCoxEjQEH<{=_k{OEaSMCt(Ut<9T@;j@EM($N5*@=xeW$XWr@{HSi)5RKDYXZ~Zi)
z_78oYyd|2$hXdQ>4Lf9VoZPO*LnAvu^nC-dkS@ifH$lf9x0MI<XeGFkgDz#;s<aK_
zxKzITgL^{<#MW~<Ac0xQW7wfAp=zul=Htb;g%Rq9G>QAddRFVIW@fG)uAkm!^uZ=S
zyH@%`a0=VxPc3d*rjuV!{M;oOi@5rj=f!&H!`QD$gqbV5$Wkb%^fM4IMXHQVjA{#B
zhS$_4;1pd<+NLHMMtQ~Aeu6mAglQC~bE+zznA2ytSgpVGo_n>wjM~Ufc`(5Y&%???
z%vhfs80d()Atm7At?2sA=Pxet8SDcUv@t4IVyAB1GIE<_9gBHxmY)23QrEbxLJq>t
zViklM*3^>FY~NRKW@j^hGsrJiOq-&yxK@hB)4+7$NPIrJa+j>lXgFzwSd!dwQd=Ni
zpB0xKc}PX&^B703c$D|rq)sa1i}MMlVs2QqFcCX)UT<fajRLJHCMMb}DX~l_s}%{Q
zTe*_XcP&C<yWRxeFW<=5B_*qs+}uw$IM~B9UJ}|^Lw@3VadQasVj;vIdS?`vXR%8T
zBt=jQu2u9>^tsV1`Rzk;3&LoMH%pJMCJ!*_poDobymua*U)zzTkasBQMu_`5G!JqN
zY+_74>=ms{IRxfTb!~icU!to0_sSUaliPW5zU__kc~6LO3kTB?@@wpm3nk+;ig8iY
z&$BO8-aWN7HkEK9IMD2}i#MYYMmte`18o$XNA;!A;1`yhtdOCoCgwDjO_1mt{rQYD
zl6fJacG0fR8=x_uib4JA#%Mxx?jolNcVaNRe&`RH7(35xUB;(q6CO8jgmFwO%dl*G
zHH_N793%Fd?^eT1+=Jd5hq!_9sl{>t_iE<<GhltYI2Zcw9OVTksck2(eY>rrh*o~y
z2S`0N<r2fgKPOM75s}nW9DJ-sr(7>IuusI?u$6SdE!Qrn>pJN*Puk%uA_pO)-QJ*Y
z6gQ#Bd+uaQ&G=99{<=FPvdTP%JugRWftd2s^Q@DA{Zyu;5;=;r_@#a%Y!?)h*tXxu
zTd!61_`>0Lm24yj2wx7lb5gsE5_9ny%%)3ezG$F#P@n|-kHQsZa(j*NA1|i#j%BY(
zISR!~g<j~pMQ4Y;j@YFJYq)e4VMpbfjVTjO=_gvpS2UP?ihZ3WlEa-7E;W&(D@{b&
z`QnnKXjaRtOiH<pIcTGd6cqYS;<khy??O@dU!wlXhF`QgrWw>Ecw?2C$_WKmHC49T
zM2;g*!xSm|DkgqWpnUe}M6@SP@*kfJwf=BhWSFW}m711@tz0eirO_f%NGm~UIt+Yu
z%d_%4xY45FJ+WDh1%iY!nG4j>IDc%p5zq8i-DHcy1X`uHCGQ#zgVBY8{%MH?*P=bp
z_D~{zy9?SsD@{Aa!ruO0sue521;D-lElTO36$0?}+(Ej0^wTqBmG2>Lhsc{K|CoOn
zk9-D{Phq#h#ww{h%hA8rN>wwdG4>u&<>sFU*f#n(gpSIi2=@nXuT8NcNE{1gma5mG
zut~*0T6mIUhnP_AQ;g|<MC2$6N;*oMu<=pO#b~!gaqZyyDl(HCIu;N%XbQ$y)XEo7
zX~cLu4{oQim1<2ADXHiWTRPLSJY>D0&k?x(wl&R&r@WEvYOHRNfqYo4h$=tUybZ6D
zlxdsd$I}TMN2M<9%f7+qi4`vTMtsBNA2ejHj@QQd_%)U8uDrh@2eSL~n+mM9pE1`H
zCXvlIe8E4XpSbyCNnq#lX*eQvf`&Wr6I>Y&RzvYV^V&^<8ar&1hql!J%0U1??FmrC
zc`~cCV9EnpgE){5=)(YzFkls#R$}Ad#pwWjIn_nQdVn2u1<0uxi^e+1THBU;bTbXc
zm9p7>d(ln|&rFp6`q|FjDTE5g2G-mLaZvv1^XLuViRfQ4+|+vU0%05+`Bh})T&CT&
z`Vn;7KlYT#924tSqx#5faM`&+ab&6M@9?NM^~IR&kf3>$P4jte`ia9u9_+xZKL_sq
zf<dbI4ib|lW}y`B^>Nu}!APEL*k3g4zeo-bGQ}et4PY?7Em`n0B#YW_JrKN6*`h4#
zN6BU3e_Gy>MOP7nB1Lj0JVY~QPjmr>I<dQp4Ls2kb&NGoV<ZgXzt|{uK;udW0szps
zpbkHu`&}FXjAbNYuqgoGd;r+cQNY3hN(!hiHs}^K?YjQh^~-wGb@QTCLib>JSvJ&C
zeU=duPyJ1pWN$|qZp32I+FbT;_iP@g6>ZLV56s2YsqRVZc>a`r_m^Wav(oRY2z9JD
z@<b|neeAR1Bz`Kl!vz`8tY62*`#D~ZFk!|w=Z%v)F(gRbVjG&b#LU)1Khi=Q16|$^
zMSQ?3A~TSFj@~tD=}B70mZ{!gFvL~cap6pDZQB20DA;p5Dw7siTt4m4%iirya?+k<
zmf~qCiMG8@XG3U~@<^#Vj=;zhzu|Gju1LM5NWEBoQ>3-?IJG_8??ic&p`Q=yI51J&
zeQ3eaxy_hJwFeS+7#VO?TK3H(2@~mn>BJZ>5z({AwQZ5^n6Wn595aSgY3IdPy!my~
z{dP~;@C&$rP7f$!pW03W{z4Z}zWDzlGqHAx9@O*(fGRU!FVzAM;`JGjPe3W^F6lDu
zKd%VECxx3ZJEJCEhlSZ^lc;ObB#c{cf*X-trMC-<p$yS=+!PW@!(+2OtFXqLel+?)
zlX{08PPzR(N26HVXY-f+nDG%J!yAt5DR8vLY9)61U5OpV7@Jtuo^*dD@`i}TYx@<w
zx2-rtpU^%d74eR8ptoaL$i6Mv?`uq^WtL}pzk_d3ypqZ#H#hmRV#hFK)10wL>p1Sb
zkoWaVwckFjii{I1VjmT|Kj1OU1Wn=$H9q44dzuqzUa{lt^*7`d+{q;?$n#dxBfLR=
zjaDSXm8Znkji(upTx2Ntb!_IvZeA|I@!<X8?4QHD)M0;cr|%MVXgYZGLeLU#);<x0
zi=##Et<!=a1B>#fBVb>qaUYii4<Vc1Ljkfhu3#a!nS;Fyzz;-X*Pe9s$58s7|Mq`)
zK0!k*I<@<FEEp)??dxti{igoss5{4;SNatKlOE^r{KBI)g@JfrjQ^NaDTlW)uRC=b
z|Lw%pWU9-wnLi_L(n-L9dLnX8(1tm8c#eLiqE4^U?g8HxTp!I@nW*#Ja>1jbqP)lh
zH%%iDUQc}ij5g-v0vRb})Lo=m9zWC|*?JRP1B$<dEa$%(D0v9mmA<<Ss&|ZpW+l!n
zY)7!hww!#(=I45LpG3BghlkU+r{!KzHX?2D_vl?yjGt?F2%{Tvc5deNT~W#7wBjvs
z#%fr&z)?VvMb`BP)1=ABM4P>x_2)#JcnjNWTG-Ex{z!6Yhh^uqacLTQ)dfCVG8THd
zg<XhXXaB)uwMHo_2fCfeZxSKYn0(h{t5Ca8YlSDCc2uT$Om$1q-yB#_dJ2mA8mVxu
zVLQaP%z3YoPR#F`-9nK<ZbH4Nj_4~D>2fICDMb%_-KLuy$E5r^+NOG?>}KoK6O(GT
zkZ;zJU;#J5OxWtH5E>Q}Y%L{^BA2;@8%Q7$YEYUif9iesTt=JL$1?&8a;w<2-bl~i
zi-KX}z&|<%(gC1*j$F{yDo4y;RqS#ToH`NsVy9(lBcGma{NNco0IxYY@v8}N3=d7E
zahu+qRtJiP)qrobp;L2F*Yf|F13bN2F&}jM2So&X;-NXD^h-o*(A1?>o>JmPq}}gS
zT(uO=DJuu#wn%&RsWutP>0!C>lllYv5qPqMF#dkNknAT&S=dK3qSE4P4J}s-K22Se
znyqn1v)RHFbPraCR=eubyByA^Wq9S&bXB(HltVf;+$@}1OtidMoa3C_EOHg?OQTfB
zmvx8O<>6@5FlPh<o-F2QBwmL3?|Ws|h~sU%$(^$jSq@N%zrGXC>`GJe_)*pC7zZRh
zg(ZEyW{nG{`KvWr@_SuAGyR*T^kz`2vs6oyW-dj7cC&F*h{83&a>C-9qT%-|xq#(u
zL(KVSl{2)NFg!CJx^o(+6MKKK*bCm{=m?TkNNy|A!jm8;t#9Z*pWUub!H7ORE==#e
zM2p9ntc(_CE*)W#3MVP&=hLR_(Ouu+JrXF;OJ4=hh+Uu`VyppUssHWi9556u+nfGr
z5BYbMSM&0q^dl*qCk%QebSgcsGh6n$TK6R8CG*}Z%=%d&F^|U31m<@+pIaN<M{jsi
znhhjJ6!|9ejT&YZkYCx^GY1v()+#zs)E;O=in7pE5eMjqT(b#L3hIWNuuRBLJl~5b
zGSON>zv7JHD*l6nFf!Rlp6etCoy`3G$+S8apu1(cTu2c@@{+jx+0GQoDG`MHjQMQ2
zEjxD=bJ!)36;9d;wR`5Ec;Z<T+b0_N?5StLv7r&v(4?*=Qf%tsq~`b8{SO+R>Fu5#
zCnqPU9nR)+oR1X0`FxpP&iC&vmw}z+YLDJ}zD<iG`*Y&u@6Oi^O;dE;Dwp3dYEv4O
zo@`9kGG!1}ptIbZ&}8>5%}}U8X@lG4<K7_pT$PsQb?($NJJfz?&3LDtmfdNk7eb|X
z65O)B#Ys#T(+0)mqehR%Q6O}Gn<VO<%sZJ`=N7?~6iE=A!FHl!@u3_o8$!_%-W-&a
zCDrlLC2E?l#913hs01OUAyVh%HnaNJR}W$>bnX}LcN8$U&ghVNwHZ}Tg};OyMph~)
z=yAlnMSR)}_<AjIgqTqnR+@_)$QXXHivOcUIx?p+qc6)MMcs8+_3#lsa?rsJ{rOf^
zJtWh|G=FwzcS|0RQA5eZs<jPaZ}8Z+6EV}liX_^}G^38$V0;)?tws=&4#K24TXz1r
zzg`Y&uP8lAg{elgQAjtWrEaU|tu8a*p1IE;f{;wfEqeETLo-`bXz!MYtitZ=f%;O(
zQVAdPvRW-d+fZW6s2@zMAAX_0`6`iY$=tg(hjI*B9z8ALebtq|fuG5dOIg^Z(-OFr
z*>8?H4xHsQqCW1w7rg;5DHGVCKRvUQ!uTHqnIUw}r}{tsXZsc8oC0KZY_x=osPeIi
z1TWLkI=Ip4K<|`R7F8V54>`>`6q&8q>-*ND0Y~vG#WlR|GYvFN2lUpb0^i7!X&#T|
z8N9iOXVcXbbl;<|w~TXX=J|x8$H=Ff7+ya8tVsf*C+A#5kBo==f=HmC0zy)6S<~Pk
zX_kR2DI@ZefGK%yVt4`pg*t)$CqvAOafjLa+zBy(vNF>?+&9Q*5DHxh@jj%24GB&L
z%n+B8W<t#Mpz(X26{Cq|F_;AP#pT~$fxq2y7Jw4%@9(d=3i<CtiF9}}w%~d)BcY=6
zs-y-Pf2UC>gE!c;{dN1wi-l(_Y}&ko#may|y<(^=Ajuk_^77D9wP?MVt4i|4cc%JP
z!FM6wiLKlJo(-6V;%YG4wMsbh1jAM1-c{vWYVXTjMIsviUQo?E7xzhSvbeIc=|Zzp
zL`_LTU`?4sW^$f7>$-Q6(TG317bE-7FBpho=aGnW`FSE0^?PH(_lV`>FynCC_M(?2
zb_BtgOLuB(aqJy_jAGM%FM_8&hmZypCSbHI5bF24H`sdL)AggoCHfWZOn;5nAQu#L
zf9$>3q3oQ%O)C*+1FR`@M_>~DQeC|QB1|CKXhe7PkO2p`cHl^{8O`zrJikbMn!uYs
zluk|Nz?ye|gm?ecalRh(j0l7s?VH|T&A+L3baDdWoGAdYf9RrbdefozpCE!AhM%Ih
zVAt5*)KL;ji1{JCP;wCMB!zf-=#bb<#WN<H160{9O2iiQA~(hAd~`v#^!C+&xArSm
zse(6Ug<uQ0u1bWGssx*!7pRzo<XSzKFwSJ#<lJ|f3iH@AEPih0aZqJE6c!L&KJJ+;
z#-aV*%bD9kXZ%16CZm*w{ODlrmDpSmJST0+=ALfyPkjo^0c_KYV4WQG3r|@u{15tL
z<QZAdS3Pz2*(VEq0?!Z|I0{|b^zgts6R?`n!AcxBJ^vA}D$C1#L3X9%q=<VYNBmxR
z<#H7KQ6pFZ118hngCQpf5!ng!X@WbG=+#aE@KWVaP*Rd{=)c`ekOP6n1Mr!GWXsrt
zQqzX}5Bl0td=jt}fA_46x?3Nh6~Zcv4RLdgL=m%gujn;K;Jj(jYjsieI;*eM`jbvP
z&*08^$QEClk^}7EaShh_$k>kYOU1PF^u-d%CX}8G4iKNnST0M>w`NKAK;(0F)CzAm
zxVieS8co?g#VZ@8pBesJKRxWCCjVV=^9g23T7jXB#N_qsDSWfu*tsGKOJWV!-**WF
z=Dc@o4boqy@VNaAbt$XCN>gxDyX6h9PAi8L`Zq;=DPgQHZol>zOdY0N&8izFLdvyX
z`DP=UM`Ocgu6J}~BW<sqy1QQC8~IOsFG``!&-C%}|AY7O%+E!zuyujGvu*s5x0?NM
z2vy`=3s=R(t9m!0rxpz7M1O4er89@a@%!&;tm-u09Y|xm<B0Fmg?@d5j^H68l5HJ`
z(SBAd{zCVMs-0?)L*A@CrxunOo^NvFF=IMX$=mj@N~nAagHZqbx8R{Ygw<|T2j1?7
zpkg1H8yhcyVnNdjkCBWQ^kKkV=+yU~02%EO2EE^Dx#`1vAcX;VWd}9py;vsa0OAUM
z?47#(_mE3<x-#`zg&%3(Xj}5fBS1~F16Ug|E(jF6`iW3hG-W|LdrnIGtzu?4v-qT1
zh`-f|?@9oF2P0eF?Zh?#6Dzgs%a7cI30d!6Bd{6qszvV$^%CVPbyEAk_x1K{7pTAe
zIB&w3(Rlqm5b3=aVzpFWA<^ia0M3&W)hU7dVUN8Z3c@c+@xI+rX1+6|7AjtzOd`!L
zj#0u5TJmU|#Qv-9;<UMi-N)P2?zYzwOj2EC8GI!{uEuQW^Ry1*`1WZ=ZEW=0xuPUf
zH(`17=Pd9ZH_2b}_Rk#g_ZL++p=EUNJZg73Q&a|}KQNw=9G16jD15)`hEtqg&6_UM
zRhcP$U%^ZGNmDC#gYaFWM-zpb+Kb{9ULx(h`O(#76i#l9=%wm_uyxHz%H!~LY^`rC
zlPc7@_D2n8e>dwQ+pRjh=i2-)yLvp#lvoruhy$dzuG!o;3{+{q>HOCVP+tmA&Y-^b
za-FQR3E-PSMJ;#O|Hj~evj|)6H>gp*a=%);Cj8e~7&EtgM=5foC)(0B()gF_PT+2K
z!V@Z^VrFf|YD?|qzl1L}rIb1EelRs<I$g4Omrj2r?XDcb9$J&#z9j<!*L4V-@xDXc
z2B!&!lrXn7bXmh{>3f|FAG!3LPg7qb0~m#J>%-iKB~coOA-#y7T$bdE?lvZmlTk}Z
zR2K9vA(32&?gN|lY2{?&!;kr;I!}?mGQ+v+CB0vcz5BYChk}L$6%lN1N<+zm1}&m5
z<X!MRKlj&|V<H)tb<jOV{1NVF_U<>YF`g&aH4QxOS236P_L~b*I85Y~SSIk!;m!Li
zVv68Q)tKAN56iw~B>m#YwPT2Jh<@c3$FMuhqq2nZ0i_v@B3;;PSB2?)i<;XmEVB;B
z&x6IKD(ergGrd3NPg-(l!3%=&JSkI*JUsdb0=;Gb$L75+<%RE;088}hbiWY@^`N|n
z8eodS8RmR_ez?LMc9+(9V+}lrV6ZbVFu)a94f;od7yYN3pyPV;3yxuQ_vecdH0+e`
zEezKr-p)$S?2k+)Hxh0`T(Brgiv4TohVosiHeXLLzZUlXn`^ms^Q9hrUW%2xsb%q}
z*>K26`~foEPb6y>c=(7E#HG?b$mKC8Qik`U{h4C=W<4+6+}ry!pQjElxv@Y+(PaYH
zqtvF;J^xNOpp<-d`Z+einpYFAkhF8u8SVb7mV&(UXaut%9!O)J-o*G6^^hDT-f+{D
z;t$Y*IyB)iqrnr|-dw`bB4z&6wdCW1e!2hN!X$~>XEDd@gjv~>)KLL{eS`yb2xSS|
z)P?SAM(S?X^dv!bHrpH}>Td!skADbPvB%zAP1=(~+J6tBG49@GUnrd*zGkqZRlo42
zCcSCXv^o{}<9KVgsp_Jr)u*42Dq9fp?gsmGOwHKz#;QUe&x>o5Xf8~wrsUHTpL!*B
zk8V2+ya5``o7-=1UYS&_utdMPR$Ytk5FzHIE>Pmbw!4-XI65wAPl={-x)iQzE%6dG
ze~$>pqQ6q*gs{mI?L$tLKi`t&_Ox~=gI?F|Xj%Ojq%3*{;ZZGnjNeHhDK~qu@F&`6
zeW4dAU962AEwKCNK4a5Xs^O^U`66fotFNk34ZMDcfj=a1$AtDPfS0E+@cs_iBC+ZH
zE_!JLfNahMdYXVcdv0b%^kOwsIwBrt?;80(C<Az~8bb3FYK>s=#4({zw@F0Bn^9%R
zGaRa1%qWB{lIi_&@#(A@ocid{W5;W0MdZ@VLCl3G5|WKZF#bLtVMkhF>r=2<gX|U|
zmuG80g74I^33Q_itppHO6qVB9-q7r`Pjt<_1)%yoBsTF;!_2jyZ?WyYR!cYBBddVX
zF~o;!6Ji_hD$?@#87fqh7&YY(x@L7uIIVy^ULtGC^|UpVw-1)`{08+e!nHhy*OhOu
zcj4|MS8_{ovsp&&No<aq95zD|wH{s8`hwrPQ;}ONUvCMl9S1%R<~$ZbwN;Pk*l=%=
zx7B%DY0ScDU9XMU#ILjcHHW|uePUERZ5;bYRTkMIA~7+qmF&RhaWm4(;nH5vND?dc
z2ED&$c3J7~N1NZlV{8A5)eAtVOC_p<aBjY)tt);m*xHZ;2lh-}5MSdXmogMsm4-<&
ziN*x=a9<l?AG3s$GQ@%XL+r;IP(n1w_}R#bwX72<yHKZN=QB;Nn>mr!5W*>`ZWXB_
zVg1}(09Wa=mt2-3{Y=;Sf4Ex|Nk_1A*>ljoTPm~K)qf+%e)Xs}0b?Q(j+fNEHH4C%
zyd$*qXF>89vJub_Gg)nR7&+@zvef@^I9yUCI74u7MvA90OY^=ya=Om!O&fA@sagN7
z&-fgU%i76BYHX;VOZO+KUg;COmiou}k;i0fQJLJ38*{xcCCrpTv5C;@Fsy=@yHyiL
z%93gA1>Dm1<=0;!p__1YK1tlR4y{YH-sm|}wLBixa^oFB_h3=mT060MDoAT(!7rrY
zh66AiFS*9Xf)v;T<=9FGokspuUu!6PBU34-4R2yywn30Tx4Y|~JVrLvKi(PluXEV_
zdw7+lO~d(YiM)h6r%74TUNQ2fQ{_G(fLG3vE@n7-tTD}_U$Y$(3m?_B8&{&VntcxN
z9i*B6)<pz7Va|94<k3>>B3gBuESMP?lP)y`O5&v)BKVkdX)vV9$8y-y3snx6ljBj0
z$HXOg<J{%4*qRqC2A=(|hGHiLWj>(OOUJLKSfss`7Cv^J=T}|G1GIVQ61tz#KJ)nZ
zhT9wBbbRNl%CJgDg|V3peBlV8UZXo1O+mDhvL13C!cRqzGn{e6f66ybcP0t|^5Vfa
z3&On~Ly!`yg#e7T%Eo1(-%T5{)uuV#!_*)D<MpBO;vAJ}u(yK<7|#p6=NITmS&Wc!
z9<;@;rp8dA-iE37`v}ARj15&dgJ&ru;8PdlxauWUN_LWmUg^AewsoN^s2Tll>?8k7
z*=n*J(A{_G8arULPt0^}UNO?vydXGugqv{<mvJBtTFRyF_^sTu<2CMtJgPqhQ?v|f
zUx2ERxbGiScRL+koXY0(=d%n>mPk_Zp6M^(S`>u9Golgvvv%8e(1_l{CUVeP<az(#
zuG^52K2dD5vqmvA$caKi;%i97ew6Sxp}6JZ*7bG76rSbMu19G&*REXXjokq2O#*e$
z=+8XOZbI0LpWX-4$j;(gqn{G+)9|fWjuB>vYJr9@&~cnneFK~+zrhvz>NRlxgv(q#
zd_V~W40M=nNf{x8*T@^)Y7X7rn1)(WA={M5+6i2U4m0dn6qjf)4qimLqV6A<$z$2{
zC%h7>flB5jH<xQAZXTcCyE&?R^HK7Ser=z_A%TV9;^b<{zQAzA)}SEq?0lY6DMZ5_
z=X|1mhR7>hr9f@Xxn`8(ZU)IBenNB$S4=}@eXx_|l21I=zY1bpg`Y_kT^$KIWWM(L
z4s*`Jjq!gaJNmuDfy}9*G*9eh$ZNEjXG}cE+BZ69-MFUcwn9O;{l%im{x$wRO<HVx
z=34F)dD)W=C@`PvQK_BUaX^l_z)%@X99Km(q!nXg4W6Ubjq7RzqekmtM<B?K(|WB2
zk7V+%`0N9CAV4v^1H76CfhrJ0pN#-71R!d%h2CWVNNIu`jrad0Z2cR@dH|J@u<K^I
zjS6N9dv>fvP*PA(s0!^CqSN|4eaIVZmU7J+`PvN|euJmowg0*AFDy&95~kfreJ0uT
z+@N?=Cj%b0L~@G=ttK?YAC{$9yZZ6>$Z<6?hgm~-EG3u7ibZ4U{YT}#d&|6Ac)e;~
z*odQpq!^Y>Tf|7|Zq1a|fhH>7PBT<29H;Y^soN*_LxzE35?U!seA-kPk2VI0>UdMc
z?K%)TCx7HQ(t60cJD4CK7_iPESB}}Nbi^v>tve={j>jKPRJi*wejW?pf>$^gP^vMc
zY6{U(SwRcv{7T<y2|+&eZw?C`)wqx66GA_9r^+?VT<l8u*9HD*SoPdRK9MYdobw_}
z$zf_Rgcui&kfO%-hM(HWF$^ieI+?xn9Z<Ef46=cGxA2W)LUmj4i0%kTKI1xi#tmRf
z1d`Z8BOh3;{GM;vzxcCpeY)=n;!XgY%%xwmI>->`U}yIeNJV$xe?GXAffO5lPu~Y3
z;FcE##V^1+-_p_otnXh(h2CuR#|(hh4nTQ)_y^dln)1uaApiM3*y4(qG}TXgZ|A1Z
z@OJV_e*S;hddsk`qPE*tx}>C}TcoACOS-#3y1P3C1SF+PO1is2x;v%2q@+2M=h^Q*
z*FI-|^zz$c{pXtZxX1Vn%T%XHCR{6pHl`c|Bm_Yh=y%~r*#fS=xJCmCL;RdctV+?M
zPe^9NGjvw9hq&L}l0x8pH-zJ!I*^Oq0m;hZ2f1swCAd8;sp%IDPGYkqIKTdP=3f@>
z4+YiobEvJ^IC-Y<!(~78*GOKDf9ny3(J%6&VJkWj!5;u*OK+sbnds2Xqc0GaepQq^
z7JYT`^H|7A^`AAuryt=eIZX%}$Fh>&h$U}q%FVtxsGTpI(Bb8JcHM;X3AER*ROm&V
zw~9EG2UrE{XS)*ucir*sEEzdKT&@o-P+4dvINX>(m#?BBy6@@w_cYRI3wd=odjt}h
z24La?)hD;BXTJYH`7IKuj(ryl;3qtfnDMjNuXnzZasZ$Al|}*V%+=C=z$_02ez1)k
z2Y$Cu5Jv+JCGgCFrT1i|sRp#Eq6$2olgIEf15F*Rdnl0>z;&+vd&V>mNcBdaI%8P-
zSxNPl2O;A+_eT+*MIVUl4y5-@&ge7;R5nzqWN>0Ya5bC!)T2IZ$)jAkI-VY_(pN(+
zRA3U=gXJq3%#SxhI#7f>EA>inBs_Fev2NxxxO8n4%<qd;lFCT63R03nOv{rp2>e8{
zbi^Pe(tZ#HRkh^h$)`Y^O?<OGW#p17v}on8MX$UB&4!y~_ZIl*Vfj0glJg{{Oro9@
zBHxrX74<DYHXX4CB?ds<Bjl!Ru$LsiMx<hX9tYKjF1yyE{rm8<Kqg}%p&C21rm^kY
zVaUWVYBHUsBQV1G0^6VOY17_m$IElp^Hm`#|E+<tG6stK-##41*7I%v1P8XkSJC8^
zd(7wM3XTp?e+7mNY~ddONeUWjFTvvtLwgM)$IJ6`{jc|x8FU7|p)ry{XpK&fnN^#O
zu&t6=IPe%FsDJAo*a`7<#7-y-a_Emm^Ykp=Pafa2K9keoGMXYUQ9D0siF{@iR^3)(
zOX3B*ffS9F$K1abu_UGbc*^_KOM?igW<_X`(au)ZrxwBWKhfkM<rg`TQRWMXxuxpm
zRWHcgV>V!uOJ<0;M^|W8rM-?A74C(K6WRtW6d7b9WYXqioQ|h|an<lCU+M4=>2>Sf
z{g}S9vzh+${AaIp-PKPP<B^;EiZ7f}RD}0@W+4_eyo@@#?O#q{laPp#GjeLBK_uG%
zvGQu8b!?LJT@MpEqThlL!Ik=8bQ93nDv@#hTO;`M@rc}I*G1q#Q2RK|uKf<21Kyww
z<90ghd1hhZc3A(px~j?n6#4@F{Pi*a|ME#T@Q($uX>yz!!LNXw)3vsT*INTf((JyP
z4hUw&;4p5ZH<Gxj#ncSZmnJQfrx2pJ2HHwbHHKJ&WlmX>49xwOyxQ&!q;A97+JyK(
z1u@)X4l-u*ryu&9--M6y`{q{U-VAyn#U3Lyyve1k`7ZQ{0&DW>hodio?nvD3vBHF^
z*>cWDugRT1`G}#uY<;243z6w_E>PR<mXEfgOm}zHvM(X1OgN6S0mz%$2n#>I5P#~Z
z6?(erQxcM;HVIlf#@Y;L6<p+Gi#W)l`86x=b6hI~-rhp<ufEG|=rrz}*8BPzS^?ww
zpT-XY&Ti2>rPhHr6<pa1I{+js<mLGuEE$&O+v~xC0UVOxqht^Kn0r}%&%kTo1^U+}
zCMto0l^vQt_<TYHbrsa}0PTkpv`K;JaoTHE#8Cw&uJfoZ^5j>X{e6SQhB<=SXHqn6
z*ELuCsc47=fk|X;dO7Kb3K6L4&389yjI=jKc9sVX^)ajUz0=%-as#^Gue>40;s&0l
zCb+X=VO^Fv-nB$c`>!RSn103bG_QzR?Rb2&6&b0JRXHyCy#M4Jm}FdGBm&4b6kXU=
zm(nc|Qzmd1#ZX%!Arn@7g(}w(@7#GlQFW!QJhKNFjuBr3{VrDRHeZ}>6i@A~Z4sE#
zxDE0gd-_g&6Snk(FUpBeNV&{dMz50-h%Urp*mQXAJxEMq<Cc9z)NwH-m0yAX9wC_r
z`u<`@&hCLK4w3f5#9E#gmp1jA@X?_vgjSp03Zj6D;Md<MRhIXK7>@1?Q?i%*|5Quh
za($GW=4-=-&aIoq5Tx0+{BB9(5}$3_ST@QqTVKUgebi%^@N=_S*EBtlhQjKvMlr$B
zW73?=g_}$X>#);_-3ha!>xn}XY-Nw&Rz15{sU<h;q5z5K&IIhVpqf;k#pV7NIO(H8
z>MyYcq26@+R~B`L3!c(i)Z9CrMuF+MRslBJ#$sb9&Q{(>Gk;O&=93XkCQCRag^z<w
zlihpe-^zyei%JLB5`HC_&rx31dG|KzEB!ZdS@&n|FP_v><w_YWL#Ws8N^+Ff8+E$^
zY&4R!9H-<$!d})@Y0xJW1E+G+;H&n=2L0UZz}Rqr5YMNChqhxW+bS+8eL<VZ{Tm3P
zrvsup2=!-i*b!Ma?ZN-Y^7Q-f(Uw4)&FFpipUQA$4?W-m8EDnLo-c>M{*gRhp(vk&
z|MRPdCUqy2>wOk6Xb|!AIeGpvg}X@1)3{1JX{irmkC+&OXq-D=zhbhK+BV};h+n&t
zw;h&{HtEV7c2eam6=+g7K>h2GZ4|mT?EYHgn^C&GRnMSge3*qGTH@Q8*46TFR6>j7
za)ki#h|A=<(*)hTf2H%ZnR}|dTuN6FC{&<0I))|PQ&v2dLWme9*>s$@x6#9ba;$hO
z!aZ`Lz=`)eX4=?E9PzUP?WBCGi*HzPO;{Jbth~s+#Tuv0M0>=Xb|RzpVSrr)yQsm`
zdsoG;8W!BT-#BjuXVph^dKtoAn;ZdOdSg6bKG!6!WJ^SJ2&PNkyq1?levraf<FtH2
z@~R636(#C$I$b>b*WYnAB*GiIChk?;gN%U3IR^ikHN6nT2P&_;vl)wc+CQ41qjJTu
z3)<V$c0E#^@jRhgRySfzxU$%vr$uP`cPjqKSusE+5FP3Ad<*N3M9K<o6eZ#zn;)-W
zrTRJ=W4~)ZxyBuWWjsrU(dunI+5|npAy$k@PcHG0johvTA=e+PtYE>B%6>-21eWb)
zPmqfuI^48w%^7~DbpJ>;<Z&9V*J^(d!?4LIPQTHkc09@_JR1WznhoRvJN<HQFW$+M
zk)zHqG_c5Y1`5f4DnxYMbnoYuzI1nF{V&V1E1~;A`cHKKH>&DMD36e!@?z{y(tM(5
zv%f}n>AxLnWwaBSb!c0WX1H0*WZQu^S`&4@P^J!N;br1^Y#xMzS{m5*3TNG{Us^NX
z%bU^A_9)=_xW8l+2;rS{{u-L$>YJjrX8HC-A54*J@W`ePmR1n8!D+z^Em%jT;&xP-
z0(s~CSo-`^`=pfT7c|^w>O&d|V()w+=+i%ZFX(OxF8h~bArq*2Sg`{;5%I>C%S~5;
z?`E+!3u!TnJsBR$R-t3oVyvEU+eAGoeuDaq5On?R3Cz8SAG(Bg2$4@^(C{{d=Yk23
zXBc)bwwy20FHpk66Z+ZLYWXR^(tVu@ge|t?<v~=_0aWoFXb-=p_PK6QC;}QRaz32b
zYNhdtNl-r=xmXnji1wSmES%FGS_OT!rU_`5f}Bc=TjtD<;eJnD_Rf>H1W#~71y?59
z3)H1fe{+FU`vYOJ{f?ww5HD7h2?k%wIvqGPGU7{#vQ1KK_CLAbl^00XjM3>x#z3St
zSFAQAR4!KaV<yDEVMg&5Zg^3??U}QVf2)R}F8S%>(ZqLtXM!T9#KVXqY2_mswUEs>
z<}+|iMk<YK`thp&AoirJ+RKV6rkR9wCi&^!(HNPP3{9#dVtLx{wklwJJ=v2-LzU;C
z7>jsAD)$++a5{r1#CLq+mQXvk0$3y`vV~r6=YYWI4jk?=@0rN{@7_Up!<*wpj#X#n
z*JiAz1Nre(wvud`iWoYy+hN8I?~U$|Gte)f>$dtDX&HHFRsWxN44#h?!NT=WB}DJH
z1B4b9S1(uH8%wSNWXNZp*#tU>{HXjn?l)byzjTYcMi!+5O|ok~QCQDH9p+A!k_UKt
zmo`@;o5}Gb=M;WMi?{1vQNsPjYFf%_MeS6D5CKgj-Dx+G!*plAsEBM?>B)ryPuHEP
zfp=?dLxWcoGi_mj=_6p?B2v1H1|8>$|Ar${HD|sC8^6FRxeyjAfGX<)sx-xUCr{0j
zOO!}Hzxj9#Z&W=LMbS4ng<*JA(BZ(oV8Uol0TYt+_UEa73r)bE2U+}?+PR81jP!K=
zx=A5%W;QBuxJ>WmwLb>zR!c4fz1<IfR0zoJvCbLvJ65%SFl%q>=A?tj1jvXA-|Ld$
zWJa*7UIw_qSukvcpt0MntxQay3IE`9Fap?#SD?uM*P8flsQZ8%Y!;3V55Wz}_4OVL
zY>TBeV_G$)vR%;U|I@Nn+H^CO)DZEmZfsM;IoWi0X0h_F9(qPO=LZdH&E@$dF3qVd
z1f`yb@|d@8Q=vRbSDBc<O+0VnSkh8oV+d>WW{OC}Z{t9t#2&VvSFCRoO|*>sPni!s
zSxUP8a;b<xjY<naBzwHqMqDXQh+;>Hmyjy+;>Ect_#`!jHnHaMJ-KH~FbhU^l0?Ow
z-GSmHO3go6-c~K*zV<5Uloai#VA@XQF0QJ_^-aeBq^_@)gH#|5|KW0SiCjteU~$Lh
zt~8>bf?AB3GK1rNl<|9um%0O~a)_mD8(fIv9W$JXg1sp?>}+|4vf@`?bcfrI1hj6#
z`Bh_ruWNwvqkNo_dktxx#4{IK-i1!XyTzS8nq^VZf~Ucm)}cqfN^KapAGIa2SUvYG
zZ#<+HhZAGzfSUE|Z(oLe1~Io~24|cfE4sThR{&K+2<lNl{15z<?EH?6iI*!4ML=o`
zj1-yw2Xq1$l<t9!Lkw2VVMLxEgU`W!IRk`KVIV7FtZi&SSj5NectKI2QUGjO&48le
zygy;x()K?;3tw~|o}2d|5I<-NAv&@6&Vk*?$=RmQjt3#dGpY_Fh+AcPMWvraX#EX+
z=5~}e3L!s=D_yg$Wf$slOQPUETe}=%@2#64Y#!zmif)R}^xuaUqIV#Q+@b^9Ls-q<
zx9V@Mh3f7|>vL3Id1=XX&9Nj;kelL1?x>o7=hB@Bc-B*ZK<D<UUm@8?tK)yjBXw4Y
z0Zq*#H->Nv%2+;!+4Vu5MIRu=zoyP(eC%9~Tw&L}!;qhXUtb(|w+=c1->H&b<<4s3
zlKuW0Qj7_2T+cV{qe-ukdSdVME)YCA15-cz2B_uD1YaOPTVeRW%w9L(`K6_%f>{g$
zI=~OS*w^2|n4l;@=<>(s-|MCa*VW4|NBWWURk=alA7xstC*n_N%&zi_`y-Bc-d0BD
zWU`#$`*SWjp!%INB}>;vTiz<dw{bTzviCx+EjBw%NrDViHrVnN@+%?m2`&pErPhJy
z(g9bYrPfO48!u*OCtG#DhOYkh4GW>YQz4_nP{PdkNcj2Ugx1`sfXnnI&A~cdN=#Z7
z_l|paUqfJ&+NoDY_5wa1644R`JL~Oe?IgMflXQ=_P;{V$xxyBbJ$L5i(-znG^~!it
zh11zXX<ODFFWmff7(rIsKk$CE-K-ro>z8|#x)dHi{E#qXz+g8lvL2OCW1CNu|F$5-
zEQA*^I8Wu4VcL7!pVJ^NBexY6I2#sGSPoV+XhXz>)_=GR*#$nQN3`y`-l5XC8>)XT
zya`+d?nE?aw%}~q59-t#$@<sh{-`qJB<B?5p%>bJ8w_@Xw^WN9n=)uzIxmP-n9-o!
z{k`M2oJS-hVejZx6~;#5h73olv!@FhcWRr2YYTdWw4TL${Xev>UJK=6Ej7tmdhDvV
z$qhGD{~FVm-XnI`_?4M(u|ur*Ov=*O#vHXvAt3hNgT29dmBw(mo9Al@i$Yb4$i;+l
zS_7j;;z1FU1BBTYt8~Z51!N;D_1R7DMi7{NjXHv!q1LMoV1u=^wdDt4QMXl>dEf_Z
zXlP&r;1NtxzX>6@SL0uzy56EmvhJ&GVd@#5!*&Lk0+*JT!5q4)1pfq{YyCKX-%ay;
zEWEd{a8`gG!+;6x53X_5-wm!oKOye>N3I)oXeVISww1nOAIy%S9XRks;$k{mXF3;V
zO-(iVTB4{0tQ0O3_Gh`3`TZ=Bk&20=>O7`%C4p5-QL({~)h(kNb2R@d!TCr|hW<Ea
zsrB{zKB-)rx~wh{(h)$J^rqh+K7=UqEZE8)PF%vxsHE5a1AxAgQ{$9QbuO$zS0D9(
zvKbcf#Yk9}nJuX<*L~7=g>;NzB{G<ht2<&h?rKqz%Y^2iYAC*8CA;r?dkv7RMM$T(
zq(SDfK823inkCWoMM`^}nfUECEAP}%`AvM}>duJq*WDI#b%DIWycE*@ZPL)6sbK1`
zV|^&YjzS$qF0*qZ#Qfa!2#1wDD^6)4nmyrhT#5eqwj|?@Z3=lp>np3c|F4NN?DCnD
z^;5raRn2+G+pAn=OqloPJS5|eB}9~ma)n&y=vcRw!NgDd5+HP+nBoUi>`c&!>IIHN
z6rN*y@K4a<VGU@XE43EN@Efm{U|8xpOaSYwm?sYQwKlis8=w{xRls{JolE!TE$LfA
z?kn);yaN#JXW%9T9u>dk&;F>?!Th8-U4KVHIqK`{lAq@i==MC9iZjS@F|miPW?aLm
z1&w7bp!3$~zl2O|4NH;#wm@|;%3K*$%PE|wzTrYL7h7>?lPZyixD17%Z-3A9VQk=~
zoo%TtUs2z0pG421XX;TQP-<lnZ>;tvQI0#mR7AKVgc(VDzmq_6as%S`mLS`WO-X)7
zV`y1;Qq89p*l)5m0($I^F0_{vJ_`;r>=}8Er<>Unzy8My@QmiUS6n=&Rj`sV8SSI^
zPA>D{U#Bt~kM@sG^6+g}oy07jKPH*>5|twK8fn+mwitQg)?z^B(h3k|L97aJMqVqm
z0FK?OgsLrMJ3#*PzE>yBB`JqwrS7J$ug2YWjmABEz-eX9N{{3FM^guQAPG^lN`<ty
zKDPNmEoS{wKsKJW<ufx%4CqVcv@)>S#HrdW?Umd$hzr@%eNb-}n<awFBt)9GGC^m*
zSu2-n#jGw_8+gejJ%f>T8N^tG7%$YR50vZ{{IDk&eC3?sgt3nasTi<qgNj}L_&5?l
zL!?rG4o|pnt86b(<pEEaPCg>&wo*qL__)PVm8>a?7u}fD!dy`Pe5&#{#j)QS%k2;<
z-O+=Il1kKHHH0YgZ&bz3hnBKGv(5w`&3)QG)bMBN$}!5EJ-S74ii(P;l;=+k7H7Oj
zO_h&|JC<Zz<qVU-e&|B`ks^p!zb!JaywE#qdd>VUXYlHBOUqoBPtaG^etzs}Q^LjX
zxV!B_q=0ZYVUNdY{valW%$4*D#o;{0D>;?X_irRnM460#C-ffvvH47N8yp-OdesT#
zf{mYdYOejgoL{Wf3*BSi#4cY0$AuBGqtG!W7eT%N+jwJw3r|I(>U?_A@)A>}r|BG?
z5Z@zL`0$b@yHJFQimsXk$;rF{zpR5&X!Qb*bvvxUw6og?AU=PwyOalRO{Q+RUWAX1
znzM=0wAu+s-H<*v{nRIktF%~cNsaKCYDh`a{aKjjGVn%MEgQ++&msV|Z1dDD$O_>~
zMnS5$L204sPs*uPA&)NPB(hTQpM8yBd>vQ(@dEncGgQ5SpwR11DhkM~*olc)nyaxl
zE{Ix~go4(jiF?<VGHpe<8~;>P7xb8y`Zg?ff9fW%83|#3*IWhW0I{3`@f2<+-o1>7
zfu4r%T%jJnbI>pLj)KDBWNQ=#z0IGa%Nr6r!pnp!o>ExF!n+xgDXFX2RVM^}v<UgS
zZ#HHg8)oMzFIvTlQ&Y?TWO~rmB|tR4*VzAHB^Xl=T@c@a!uvjfy%*YzD1|@+5AV%-
zGzbRa3ClBTdR0;iL}kyVmQO>*x`u?y$V!=+k*&M^;CaB<2#66pfqx7~Cx7i)t}^Zy
zC*W~EUkCe#_dKsEI54icf#^vS2;+*~RD6#W-p6=%|JE6in4TSqJ+0{@6<5Gcr~B6f
z3|d;K-c#-r`|G7hXqPSfk70w6&Cd=cFJsxZ&CihrbkFZEY~mXBgo0nn>~E)A>*@pP
zzI^hTU$^cT6fH-r6Hy!vbh4eNipVLDg18A1AO2$d?66l%3nCpFlBCbvb(i0oB~tKJ
zG~ZgJHXsV-%e2RFw6_Z56;@)J?9t}aI5fyK8~FPR;)D>6qKp1)=uqcuH8QeKD+&H&
z7(=h4YWQdvQdLNJD4bIhZ%!V^OP&>JD!*RBo&Q)VJx@!ykw`q8vAES0h19ju*zR5W
zI3rAy#Vp8+!p!LnzjnBjMti{b6N57Ex3b_k8R~rY^GVcz$4y?r{uWF?p*S>8^oJOJ
zZ_#=`(V($1^wm=l&r>jB_}wg;xq&^|+UaM*|NR57!eaPU3q7D(fPH~5f+px>brLIg
z5HfM?^09~`NZb+9^|aPzAlne;#xwOMsr)5^hJt9rwi?&sL}yVo|7(Jj{>GRk;*0kL
ziqe5yRi5yEbGqES2fYRF#4)`>7n1JC=&^wY3B@Is8`im`?^@=&i~oc{f}OWjXXgms
z&?Efm;wK6pogZz=i0#C!8O;Pdx2Tn@w7fgQvj!llNt9$jJWEic9+R-~4E$lZJ9yC(
z?Ysj8Ke&bQNr&khu!^L7x4(C`gD<nhJ-2owbr)S78b>(oPaX?#cUixuk;!v$o0-2M
z<OcoZ#qo>}BEULNryR0|>!QDh=6MnT^sqH>g8)d!%2#|G05dtgHe+n`V#vRiKZ6T?
zGtg?+oTp_e4e#RMUV~t-3gemI%LC{P1v~C%urfd(wO(z$uIxe4t~H+o0Idel0%6kw
zmGye-5CH&Ks-i!GdLNa=kv~J0X53tp0zv?>rPk^22L$f=j%U&#T-D84+W>^a3FpvL
z*K_|hYM$ZMEGT`I-9Xcs>v_`(5%{MTjArW}&^uTFkY=`FP9S&P330a>=;F_CMeUqO
zCwb-)$~zifK&HJ9RR^JXiF*@O1R*4*0f@`gR2wmfIRb~teg)_4^$-?NQfSn3D$3J0
z2*YHM_UjLtMTG6;O`ZmCKbbvqiHY)h$Um$TQ<?=O@IHK}g5x&|4j8dL3c&N6>iBm>
z$KH%~3zTTtOkNM5jJ!SsMnDVzz>_5SM}XVWqq*b<j{_XBudCJ^ng7V#U>68(Z@Q$x
z;H!TEc3GssNQ|xa#|u?v=?=dKzLR5sPu%AsI5K!%u}o&g+FON<gx^gnQu{8L`84yl
zyzx`-mm8wWLXd8iMSqO%S3XqC*h<)4r=cG~X@5nI9kZmb&X6o~S*!cPFMQiJt(>eG
zBa30dQ>K0sU`lQkmRTxdia(HEZoL%!(o|WfAZDN0m#`ybiqguD<nuQF2uld<+)iG*
zMJX#4Pe|cHx7&3?$<i|UYC2wYifh%+17Sbsq%416(B-6tQ+i0uUUv!3|2MqCMC+S}
z{(ZfWOz6SoqBJ;PpmG2@$BWCdO+yG;rpIo|Yugkhq=47WF$@y6v$Hdx#r*ArLTx=L
zNE1%!tkA641+NRwYpRatxDq&UErH@+qE^<t9*6|GHroLyj}n~du?kd}V(S?1>LDhp
z-AM8Nj7&=8P%a8{NPC>{=N}$TVU<2T)|zOar(6D<EMH>aky@`aZ<1+(bo?D}OyDfp
zz5d~xwT-en%3NZ9A-B+3{=r$L7X?}Ag%?ZId8m6B-%?(M>hX9oYk-hc*{p#eNBAt*
z=Z-6W@I-E^f00WvB2f9?>4JJD%}r}+C*yxf5<+OViL~mz2h#eUAWszrHjQAT2uI{@
z0GJv=;R|ix=JM~4-%A{&G@xT%-)_a|JB_lvp4qU-c$mT(;0N_u=3&3l9R$j!5U&s@
z&|89o+u;tA=bjNeIwH$I-+y%4&s!~rn)1IA``MyKKJn3{a5$QI;aBiEQN508S)NYM
zO7vB^B^qY3*t0;$JLg<NXcYhX!LnKg-S=YM2QK|z=s37Fiv?&1cDY@$^q6BTP}d$W
z5oi6DhhoE03~C+|#YFa%r;TXeVb%1(UMSX=RB-7oPCW-|OF~H&!Rd*Bzb`S5EyGR{
zHxFN<a@}Qu;c%_y0_jyEXNbYKxIet;Ic*#a=`yag@^Rr4u$?H#=ga&N)p1`ovx87l
z!OIUWan*qK_KJSZC*}Y$BA9AWi1}OF+I&FnIA6ol0D#|k0EZnwU<H5`9b8U;>6)I!
z6o>)F;uc5XNAWr=|IZ2X2g+m@%VH&oh~u-Qun$c-&R7HfuSX4$uCsu`gSR2QrE?NY
zUHp+{KPFaV1Z8(h(?9CWcJSjFqbvD&%p9MTrn_l<Ms->6Fo4#8tyRvqTFsVS-|<-?
zUr~R~gY*fAqflr^*5ZUvoa4U~b(^Sy)sa?e#n`5Fb``&E$Z8s}j#a#haLL{~yBi{D
zp<=I-`p>fy3RN$%zH2fnNeYk0y+|0d5Nod4?o4{gRwQMQ?-$KCg&A{M%=9o?Do*K)
z7K7W)`@-{hFsD2uUtiy4((M`~v5hlPCU=qEly*5YrmaST!h7Bc0R<b37K%c65As|(
z4t-d_QHu*iLtyL&3vD7{&d2kfy^$2B|6{g@=Y1Tc%6bIbGi+gVJG+j}2-?uMxJrA^
z^T=Ppt%%}Fr~D(?M@?dvPwf15^WMv2R*CMG)_a!MnCPub+*Q*#4Po{*yfY%v>XaWF
z11P*LE%){wH3;;H>0m!1qbdIesk5r3DzUSt^RyCcB*mTnTrPIDMNGD37f2`5;T!Y4
zMX4t4p$<iHLQe))lOy8{7sV8YsG-=iIc)4DN7Y}ghZ?i~2}o%f`ME7EA|a|bt<lZ=
zc4%y~=Q?k{%lTGO`Dbq`FYHXSo=L&*v<Q2#q@X4;G3jSI){~s)3{ggFn9teVHg~0z
zTv0EO8u%B2wQl}PPRpAJM;@#$B!~P)=%}eHd>X`%@npVp$ND_}tZy_;{4BJ=auz@2
zeiMqx6^1d?Jf`^?91seGgrsqjzmPY2`j9+S@Fd~hX1jfCjatcidE8^@c=gu4JdVE*
z2sZ)*$}1%%3=I~ApwXVRYBynXPXI*id=8bf4$GfF<9OS^=?#q%kfeo0j7LNCEqtzb
z@Yqgk%Z9{qTm_U;jLum#wIq??hxru<3wSH>e?HUt$BAp3OEIXr+!W|$Gkg-Chu3lt
z%O91Pd5Y$w2(-UZ3%G|j9LQDqi$~*5VI~^tWIH_hn_Losmva2xF!@=dF`+o(eZErj
zis`QRM2twm1y?vm*?UNqBwa(5K()&0%1F++Tz5m#PWPoO*a&zNe(rAjJ`q-i@R(xf
zuU0!^TI8{6u@J{gDUJm8+|))A@d|I250F21G@EX9(JL2PF+e9#38Vg1&x|zKLXW$^
z#Ojgqs2)_TW*oZ9YsGQh;d<0)L~Q##-+ogE>ML+SmIxS;Eo^Ol|2%lU)Xb86h6ZzL
z&i^~7&Z<RjHnUTR6^;;89<+@f0?v`lph+86VP0Q61*_A5WRmrno8m|-nu0CV3>R}N
zf417!@S=xc&)gy%{I<t@m-U?%80QRzuBV-SR<cY+yc-#h0=0uYadCe&%GfY-llJtR
zMs9UYx8G!wcCw1{e7|FpzV|@qImO*TAWNNn{PF3@eUX@?#kMIpa~ZvFV_)+EYyzm{
zQomIaef$-b&OS9+7^;_`D=L^<=(5g|gC7-+{!u4{zbgh)_;r%d_<NzBEi52}uD;BX
zi7;ep<L{;1!K#qRr12a2_uXXJK}*u5vB~45qtdFBetYYURDTkNAqA@jOr26GyZn{=
z!3P4XFIFdw%>v^7uHyYY%9~nQkQV4f?*2EG)hM>4VFP_kn(L_->TU3cCnGFIA%7;)
z@6hEcD!%=4o9Vr5u}<_^ms(ZkdFhKwzJS1YmW}zOn|d>DRaw)kTLz0G>^`Uyz17uU
zrNkQ|M`}OTbjqQzqi9*>3iZo<;K~TT^@qAHBUdGtBnGnec0z1t8)u+Re)sjgL#*7x
z=#GW`+?TjiA*XfPLUyQMJ26Z2jJVkh?H?Zu!fbG`Z1hs({#C8Rh<nnaX5iW|K*aY$
z?dV4vOg_ii83#Zk|3iqU^-|JA)<LqZB~&93YS=sz4?lquk9yApc(>qJ0dELm8g_s{
zXi=C^56ZE@$DGh{fE0Lh7)-jyfddT?hebl)YE~Kb0e!>?=$kJft-5O4a#G%W_)8x6
zC)zyGU4$>d`Nawv(z%+Y_USo&wo*R8nq{}tet$6DVk;_J)w94Fv%#YYz0(aJnXPXZ
znqelxDS-cHFBcacdm!%rh5z&4x?yLDpDY6+h<+N*!S<$4^zODBB!uH}VNW*-rL7i4
zH7HVu$MgxfpCPrx_|DNQzfq5&eTC;j;K|9j5b0==Smq}a-lrrJ7P}&?4ds=+%pv>W
zOmL-X&E+Xs#uQ=>@W#Af;d2USciGx%$Kwv<V%D3-%HCHcwfF`SGaWPg_7?}s3#eZ4
z1!)UfiSHsXRkB1O0&b&{I72W<s)W9JM)vb!PWSh3K^4^}$L#^D@}>{Ll`qc^KreoU
z(!Oqvz#y2!sNW9aEp(dI+a(~2iNx5O+;}GPp8<v+s?o>%)-#d!2V|0uGeUVA)4N)J
zdy`oPH7p7uU#_oV6^>5D72!JaXV~00s#EzDH5x3a5PCFzq6bv6{o$c#bHW7S^t;Cd
z?t%=vq6|h1>aA@`GulrGCu2!0%T+?-N<8YHI?odJgLWelEL2YFbIf{G^)B>yzK1ag
z+brYK5J1Q{;t~es<ei1Vw`Y*f&pS;Zh(jqr=-$u;SI(OaOAhSl|C;LSPxAV>1HKzm
zF7qb+H|B$}2L2|7%`{TP!4FrSchNL8;cPn&oWct53n=FwlK*`lBS;%vvbanX-j~r{
z^W9k3D{IEt&AeJHZ8f90?(rn}CewFGjZi4IYmcOtKI1X)Lp4T)J^33CD{qccmb~}b
zK4<6WnVFSYUrgw>t7LnqQE@wc=IPd;AIq%E`WLRqX8qfotSMPu0%fz4yVc9wr3M5n
zT#}kzgmrSW5Idw~h@BCSg~sm{ljI4kRug>WB5W5TfpSOaWxZz&2v<X|6iu}5C|nk`
z3O%3ugF<4ExmVZoFoE9~<@iJQ^bd;oR&exT=KcSkGL4^d%E|&veke<2rJ$7yO$!x|
z!<qGJDR?HCyD-SIGaFwBts73p;^d3@n^-omz^!Rgb2!JN{F=|>G8yq2nx+0iY_7$K
zJ;X{jPsIJ}%;aBT4v<`hDrb5Pct*&J*iNaj|4murd>@PL&$r_VEb2*b{$3pLwsL3D
znLH=0a6Htv7QoxQJuHt3x0~JjCM~SPWG4;C4s~W(!eCXV6QB>FW}w^o;~cpnH7#$i
zsRi-!gJuv~mR;?=KBTKjTcCGRZa018c4jq8^ISh!vAaiysHM}{|B$p?{8!HFGt!Jz
zfaHDCc&j&Zy4;!sy%>7+)L8KslG6&^$8m=Gy_lpzO(@S=tBn9+Fl%-OK#9P&09G&%
zK%-=BY;1t%=X}vD%jaT{Dhv(O9^1d7gh7~^H29T2_WFemdy6{-pq#JfAV44KyZOcR
z{XgSn&xdm^Y3IXp`g@-^SI@Skn%P8_fDm*nkph}iZu3~cnbi-Y*HUv=^o)R~5lde8
zs1D31jGvs;dKT<PsmRwRpGvC}sc3oL4v-Tb;}zRrk<jK~mJBRNRxw#Z-4mOX7~I8r
z-k{+n69MZuNjZ^yn>JJ)_$0H!w2)GBZrJ80(%pbUXuT45Dg5*rvOGQ;W~^&#>7vW7
zLKb4ags2d?`tG`aQL7Z@#gN>`KPXs2k9F_2dSV`@7DfD1-&>C{29%BcsO}`vTdXcu
z`LkMlO?sg?6*Xg;bK$I__y?i+xJyLB>Hc^m1fb}nh_B6uhkxEc7N+_TeK8e$<F0>A
z>?T;{GeLSqS=-Ry_cv011stQPX=&0O{++L<D)0v%y0u?sfVk&v{j%-DTtoYH+MmY)
z{SMzg*HVc8K0}eD?==?n--M%)XAfm575YhL4RZ%`x$XU{|H3Owdf_Gd6Gpc-lwI{t
z<+UD&af%wvnF%P}2bC{l3p`glU@wutj6r6)uKez)#QOGt|9D`L(dR4RGcC18+An+j
zRy{A_t#cqs=~EtmNN~mx=@vhzL$E)2_a4rx<oKs7r^6AY{oT~I^IA;SadqO2J_?F0
zM09@TS#_(@9&2_3YP_<m>0h~wT4;>KH65>nZO-h53tYD~^TJylgB%E;an{>l4(s2;
zuj>l+Ll~R?QwY4ja|uNs?J0y{+yBw(bNij2?ztZ#TlpjE@t|qe7=O|lzlGa`Db66O
zi;9@33Vi0MmAa1vvG5s8CVJVydYDaCUC5jWNB$Qt#AcG5nI(oSar~(L1$C+?s{_;(
zB!rW?({kfCMBKVKA1)Voq3{E`Rrjd_&i3~?0iXmdr0tq^l7Kjp><b;B5700G%2@4r
zeK>UnhT~O`*!uIZ_78ix3RZLoO#bHP-cH>XNBosdSO4n%eIF0P5Nn&O(kk;d?#(?<
zxF7~?oi1lXehW1BjwhSC9?AGCBfbfpC^h`rdS%rYO^$|PSoqJen1o2x2zj47DxvLG
z>x7}KtAls)bS~7eS3WtxA8ziQG^1WQV=h397&3O*XhE5~nhnpoHO2R-_DebI@;Twf
z&oT*WOH#l<UVh)IK>d3uGIV!6nqQB9fH+r}$J<0R#Er(7!oPK0K$|uuLLdz_%z=~<
zX{DZslgx9X&##tx-pua4-In;E(Zq;BTQ0C-&VB6pI}}a0a#y@hVW3_q<9pwZT&5C{
z!9C)yYWAc*4Yv-wHDa4_F|GeT{be!KZ&bSfpwC-;d0x|NZrmF!(jDT?{!by*Mk2}M
zGyF#51-%BHp65QQZNzp_<Z#$<*JKi&h39nWn>(E?AKHE)iR8~ECix~eQOk_T_g9nA
zip=_4E*|3tG6d+c`WUS6H16pO7{E42{4VKxq-pXqOk|$A1o7V1hj)`+y5llqtd$ew
zkdg+t3hh&WH;V&!Qfa0p1>ezh7WAy|1l>d-rVL`*i3I(SW_HO6jb4669a;{MQVCCy
zCASIOOFYvu5hDA*%PrDI{#+zuRxGW}Qh~A$-i4>D=~v@EkU#v}q`g7SjQ2r)^6QQW
z0CD#~rv@RDQ7@QukLKF+ME`r$vBtWGx0!`sFdE>Bj96@HpRqWjoBkH9h{~%QxTk25
zw3Y2c$o6fpA$|}HsuDj>r|$%HldlJxT)OA33aE!ddWcR&$S}FxmZIkqvnltTd0c(k
zPshwV1-goyrlRc&v|Ute3WmpSE)I-?&MPeYMo&@Z3-hLkT+u4Z)P;qN#n1D$)f<b#
zIS|@>xH~$Dw=1+!G?x%v$D+#uNvWFV+_J|LUY-i<AY}QnEeKgl!tWQ@{+3L=u$)m}
zR~?mFr*i1^HON*u<2#2K4>v)9F@jlC*sJ?w-Su87hmm2)fHWwcrPMza!P(DpBOuvi
z`xQ+J?m?3AAHEUsHD7H3yZjm0{wQQXz4Q=2pGVM^g9rJZ+j$?@4*0<8%*bo@$A1S6
zAz(K)MwMw{h)1we;Naxbg?`AT6*EI=Ez34lZy3TnvHSQz6STd0)*^n_#T-@RJ6C4r
zSt58Em)R~4dY@^Nm`!*&t(E%02E$$ZtPDl!nKY7DVg-}NVed=MGtptq7bPn*__hxJ
ze7$L9-_Ly3se^9wHph~(^zNfeWUjs*?8{4H@kK6{4j<~~s&ub*mw2b!ho7nD>x=Jp
zpv>>8x(!PN%$Fg)g%t{;UXcrT!2h_bhYUg1{x_yCj*<<_pVqi^wIIg|KQhk9Xt}f`
zhssMB8~z>w@3-CX>SAXx64g0^?|)Ysw^NU*N9-=JUQ@^Y-2M@N7b>@WE#fFh=D)KJ
zPOytFXj`DP5^~E0ZM(FRDSd<*&K-Gs;9S5Bgx+uB%*)i<&hJ7BYm^M$78A#bZ!e`F
zu{y8tixzsg{mTnY7xvHiu04aCJK@Caw113$GGh{p8hL{~l^gU<3sEQ&MMMIoJe|7u
zd4h^Ch2Y1c^qRy2pM1v24|PYxgJ0Jd$OXt>oE?YG4Qy<)|4nA)S3n(G{A{LpS;C?D
zMqN28^*f}|dCyJaCSc4g3PI~e`hB|BU9z;_gc8^%#jivaXdEdo<6d+T=1CwWC;;;p
zV83LBB>9U)`|H!Knm0)ZaN{?0A?+jyMcycy@noob8j7sa`|!bmAx#vBf_QjwozwDc
zf=?rSA)|I890UlR4aCxB0+)kOP0T&qQBuV`i#TOkR5*>?`O`_Pm$ar3tWI45p^eyw
z@KaN=LMv<!yF+ZXDE|^&F=83;^dN3E+uA1Fsx>VJvfIi1@qz@kC={!leCq62YD!X%
zmX!Q*_V9vPQM1-OmrvKjP7Qa(7VA+xkH8n3&Yk>DwSr9aI6a&CpKEvE$#uRcj6B12
z;}j-7jq;v~<j-t3DHh9n>^c!$W@1YEn}Z7Juzn#qfl4FGjN+@TQH^`_`43bUmR0%B
zHep<eN)0AB#ciExMtRo@WSgBC;qWL8Sq@s<nMAhB{Gj*&Xc`T8^=94eO;>d2IU<5S
zqQ|^IJNpgHHLql>*Qp9*Ola%XzkQ`JN{*fQCkV4#`~hP<!Ku)tV+Ri<P}N!SW3T!U
z^Rbbk)I5V0R!kDZu)j*WXKOsHK@(T_b=M8VP~9=~2lOyi;~mrkV^l4?QR#qvDRnx-
zGS}_6BhJrCHWWxYbQvaMRzk8oe&44<&36&RYWsF(4~>|p#+QrW7F(_w%!ZAaQ0g(U
zPa_+#BWsmaJa~rh^`JgP%)DFv^z*|YW{#ZbL2RR?w5pt(@!#`zex*ru$&Hx@>0%1X
zBZAGagthHQ#Vq;QHp>u{cAU_8$bVZ&R9GOIeG>)bnp!VS+h)KT(3gG7-oGGjbJtg^
z?UM*RsdKwGY}Gto@RhmPDY@`Ye}rQ3BfC{|QFlcFyrnunOwOFD1z`^DS>js)FQsxM
zMUlI0rSUS@o#jf~FYj)pvVA>z<qU~My#0Zn#0Z)~&>_gv5cX~rlY*d)ulgdlh<Cp6
z0c*AE>#;MWw4upI)YYeH+Cu!ichkb~63>lRb`~)0PKpPzja`Q5*~Lp6j<g(IV`tfl
zo9q@*1|9Wq&#m8bm0<JgZg6Rfp?4S~k42#63&gn1<uqXmU@MWe6)J~{ow8{AbJWk9
z#(hp7FUS7?$COtK`L)P@zY;}o?H@%cek-RUFL*DPA0^QrTh~udPv5!p*^J2}X)Y=z
z%qSn$(%tr~XROKL)t4QKh1lxc*DIs6g(ydQuID$2a{TZZ<o?3ZZG23ufq%t+D5%4I
ztXguCiGyB5NGA1;dm4i5*PNLDZ=FtQ@kPi)=$<J}&-IKUS6^I3!hQ;&j5b#ldMqZ0
zkADl!KJwIdp=4K*zu1_yJYip0iKw7Av5o(a7XZ&;eov&qW)zbK$%x8!V#debMRX~w
z)ZI~wNN1k<tqdI>%jW9WZt_{A7^sG<_T1dllU4rSU+*SJQ1Ffml<^;N^1a?KlngS~
zBE020_`}z7m&147@wmhInxp{1IFNOJ0lc&4w2r$pV2{ZHOBaCg*998;PO?6~%c06K
zFBqzUw%jJod;Thiva(VH%tM69!KNY5`%{r-)N+?4sHMV~uQlqdSoNJ9rEGPd)(01a
zr__h?exVLr<}{?5-4hjkS4Zf89H+p8w;M)CAwR##$~GVEmTv-M0bw%=RJ44iJKz07
zHS{F-p&|={78dV}o7jTjg_t;H3IEKo=z&;iGqciSoyh6dqs;QMgJ%`-VdC=ABRj=H
zJ{i+E2qRiq_<zav)01fLJWH(63Tu$PQz}(aJ5wgZWblmBq-plp;KG`#Ef6?7`*+^b
z38iA$=c{}TO659^bllY)Hh@?_`l5cV@>3kTBd!&YnMRcLrA@t!<je4xGaxFFnZ$6F
zAMJNx7Jj*dpruMx+oACKYgPN}ng!%kfrCY0X=w@Y-{wd~LRs0^p1}XT;tuse&k?|}
z1FA+1sQ+a+`Oh{_I4}Dt|4;Co9Aw2}oxs`ZL0x?eGH`~Migl``#AUOl5e4$O92)F@
z2%532bRDw1M#ry_2g%s)4f4~{hlaz>EnGs2r9?~~q$>Klw1nbU5kntuPb9dP1q$zj
z_)uoB3smpTRl;@M{P}Sbqu$?SOMYYGO#>yL{%gg#AKv@igN$o98KH+D?Qe(#pGjVA
z9)+v|9SAK&M(22o3X_u>M^*S^{?C`dHW9#g(jZ~r3g>Bg?>~{8xfV}@IaM5aV3s@`
zpZ!*<##2j8A-a&>LFsdTl?;9o{iPZ_1;&_hRBVy1`5Q6P#e-|1GN<)d0p=B;rovGk
zTo0uCAUM0lYLoTO0McM^YhmNykWXJoak?lcJEw+w6+j&h{Tj-aq4nMNVs1yKTiu#{
zX+$^Wx_2qCQZ~~*>rs}$vu)UP)9&9>x9al$d<@blkjYx8^Gw(Ip@wa?iI!%ntYv;l
ztBY^vpcce#?Zdoe5URx5qC{9t8`B5*bdStT!M65E2xouZZvQc;MP5@CGOBEV<ixTS
zK7}J0xzvU+R!%JGMBknQ@<iYpq(6n|bs3`@C}+N|PkRg>6QE$cuRS1gle^6g)Z7nW
zL}`9|_uBx=eK<;Uwo(=LSAj$1tjKB#N%fP<-xHGkr(H+lg76>c>E%O&gxvplOT6!t
zzvT7?DG;2eav7il#+s8T<=ZzaNGX24D_a!xFSw%Em0kgBnSoj2s<sTa5WV_=?~BYB
zjAoZ)A7H#^`o9tzvROG!R}QTd)IG5qGz`USGkr-2E2nAL<fp~xO)BVzj!*S)8rJu)
zfbIKs^RNJ6X5S*abb#V`<gV`?vdVOqO@Aklam2n1C2wUW_e1B7%qm`DEEtB$b5&*n
z^q??wfGN1+a*T%(^3U8{ft!0WiN}9#3fc{}eIlt6r<|zf8AQwZ6@+nI8!xHi&;wjY
z%aZ2T)I10}fl5chj_U_%c$rcewQm~Iipt)3wEn5pKpCyc|0vom2+5Hgt#sl@xs5p`
zFjPLZfU(N-tG&E};fpNPQZ@@&k6h^ZNI*lz&CN=-Fe+!=+&ffTNfesW_YkS4a(Sd=
zG@|C*q%pH&FC#0^Ji>6{AHT0x%<re8&Ria2GUbG7X{YjEHu<A#7Pi2tB}XUu#ZSP@
zS~y2V{jBWatF_}r1p?arvcm`C<=#YbGE5?#t+Sl5$?%}d8!X@a`jfmluJe4f`&Xd^
z6qcNUi?x=vHV_aWK;jgDpEf`a?c!o*I7Z<47NmuLqTL4r^G^>W>fKeEm6nvB6%vDN
z9b{1-$7V_C^ocNkGXJ;1e-bTRHP??5NG&*-rF8SpJ4hMj;<z-ADK9V2Q^a6rSa21l
z#*S#TDA5P=yt_hq-@huLgxzWU=OKpoisN45O5vW{d<$>i4=vgLdNc;#Yl;44em<u2
zPcu#2G3hM=>@=ze_5{KTTa+OhlCv%cZFsDm$3xK;;lu`3z^XnM5PjvSh_f8jT~oET
z+a^+OQmXA!BeG2pJg}Fv+X|f+BzgUw;hc%>^{sO$QM*=trzdcz^B2mk=bCTyz%S75
z@-p4cI9fJ{s4tsKXhEM(7zSI2vxW$eN{<W5M6Jsq<}vy$!M7E95)_qEpFrKeY$wc$
z6Px?}gn-0Qt<MwEZDj2g39A^EpeEB4?0Ff5VIHPE%(;ZSo3~{W#IOD4Tx%lW5j{~~
zN+>q&)U1Ve3y#mX?>~_Qe*%VPGq3{(43?da=cA5x;Fy+`m3{3M0Ea1yQExaB=oxrr
z5^LMFxd3lKqUiA$0C@C8;&g!36KKoC<8eLCi{aO@?#Dy>?`LaH=QeRp9qDscG#VYu
zF`fXX*iI${7mT_Mr%6?j-?FCn^3By8rt69GV3CX8BZ|^8;|Zf;xsSt*CC{g1$KK8*
z%g4COWk?82*J#+2dbRW1;-(pTyMGfXwCBU!%J0gz6wEQ-sE+<DjBG5FE9UhJjwW=%
z7g|42-kYS&$^NUrJtugWJN=RLB)XtLL*Qylh8SY$B$sZW`Ll#+c-ZJ2bpV{ThhM6I
zyhu^4M{=AQb-u-XK*Pp}V~jh4<J2VYl2_f)51&F|HRrb{K_>xj-F`voAJaR{a?8qW
z0Llp%R!uX;m;L`c+&T18O6%Wl;pca3ct)J_>;zo7T1t^)EZG#ZJLB_bO?<0S&(bR2
zs8#QG)s@=(HhuRXC`1^A*Jx6Uia8@@%y@Oe*gUPDuo%7CSi_QH&!9|(xQ2<+{NAzr
z#TwOcAVMbR#2j;{<ZsOc?{s#N<f+@cq}YS&vKbFo40YWo!S*g^U2g7B<~O2QS}5T@
zLHjHwI3+z+vfLxrYIoJST|)j(e{&sVDmxbL2xqn_P8?kElIv|j4*0>aFogc6jf#3p
zY!9V?_`L?6LeTd@pEqQgsl3sr>2x!;Vclw$QRm|lt@c*~!wNXOTT?#*Z*lIuA*P~(
z;QIN4<)H4N4Y?0K7EX*JO1#{5qso2aRz{+LMEzg(Ht6;oL8xKFEs2q`D7Spy&pa@S
z{Q|=*o3x+vEDy{Eak1#=A#XCT=t2a`4~srJ6YW9CroyBT(;+td=5nQsnGm~>Npc$J
z*fbQb!ga)Bw<UT&c+Q!mT3F&xrS$h<PWJGcqBNT+HZXQmhxIWHafaDKCLI5^xsbuH
zVjS}QeW2;A7TNmItT&$C9a}?zm0k+$-CPChkY9KZpC<F0o(c>81&XsS!2Y2u<2d41
zFvpL0S^R0TZJ>~?@9O>GnB-0d<0t)OMV>Ka+MTn3&4bt&#~Z;c>I^8#WLjrK1D-eO
zC77w-gu#VigyIXjdtpn_Gc-TMf8Pp2jN5eEFZgj-P~4Cc*h6vI)I**n&bJa@Byb>k
z6j?s)P^GfVXMA=>h=xJlj{KR+SnC&qdj+#9xtE%mlo&nGb=h+Yb-i`KM{WfDSe}@>
zP<o>=1xrpxE|wp3sLI1fsH?CEtJsj^eYp@V^l)S7KsU;o3ab!jkSrLlZt2x=pjjF9
zyE}DgSdpVN!}K`pWGd#o{jm54*OT+2D;M$ph+DI~1+le_;tJ+n`CK|hWol%tD^wyc
zxR+%}%TsY7OWKFpP9}Kawnw8v>{8Tqd@hgN!!(7w`#K46Q>(-$rnsRlcgwPSNPYsl
zPUp%hg*NT~tA|r|%Gb<`NZ~tV_DdsF1m7w++8LU*<3QzMTV9?qsADb6^gMid>UaTt
z#z0`wa~!1X%PgrNM}M_<{!ZSl&}#Uq78waWdY!MNr&222gYBP_g~1cg1?fDf`WfZ`
zO|_daQdo<2nSn<hp*3j?rJ78!sUfbJv+avYJ$K-&aqW{<%h;@{X>IH32`{(!^Eymh
zLGrY`+2wAji>O;o85Dbf8$*|gEmfl8gtYu1H%XX9JoK^&71jGTWmo5~M8Dyy7$V>q
zvwXP0qBDMs<RIO*ZF<E{YW<)LNaQCIO0M@<^!lwoif-^pSpK|Mm;JNto@c4q*m?X*
zNXFRgMidQOgPLEz2^uR+9LY&x{V>~(xR+%5-LDzX61#F;H<nLcZ3KQcr#aabnA*I5
zUNWO9=_YKK|1zS}BD2crFUctq;it@M*Cyq3xI*DErgvt6O+RTczFn&WSTa0MXFWS#
z&#J#7HGm15fU~l!Z2g|mhp-rI_q$t=*u4_6vBs`rsy!>sSB$p$Whqqa`sRq@&0fT~
z#>t*c%~Gs15s$xi{ry*|B>7ow#bmgBh|Ivq1ARhiF@lXim%Han&75=1tuh>W#H@!?
z;@N|jaf1veE+(>k_5!){R5#59*WFi!eul(=MuWJWnp>w^m$KuDQTn1=D9wZm%|@8K
z&zMJ>8Kr$pr_`eyNvOjtp9&KEzN;5{@U*!~>Nw1P{HLp%!n<$FW7uCdP_v@XP$$cx
zc~zAY0UOI#m*d0`NfK-288!GlicV3*5;;k};dX5(Qm$jr%%^^8o_zR>cFB)`7Ebg>
z3ay=g#A3d8UNLXlr|EF@zrAvn+)uDZ1KD;4csV{NJ|?Ex?J;pjhqwbrQ$F=Za$>~M
zU&h5g%0p=~6Q;j3R)5v;bvBUciiwkATb;j?YSK^e?x!R`54Y!A6IKq!a=#3^Y<4dA
zHT3&;vg$BaXR7xX)#BkXgb%szX*gg$#3YOI^gegflu5xK`M2fa)FYri;W7_-(yxzV
z2zLe-B8DV<w$od?gOgq1EPrIrJ|b>mr*B?rwh~8<l*(DWU<8u*Vubp%ynM-Hc#0oL
z2bf)!gv?oKgZ4HMxtTB1<^W$_wC*vUGaaKd5bE3DIcsHcIh=WI0Mcu{1%bzBKvww!
zc1)nT)epGxBXJnp!S`4Mo{*3*hW~yaKqIK+j%jGBWXb+}shonU5J0_9W$<ami%reD
z+rwm*QE3nnJ7%^1ei^HJ#vSvC?P-jQ9<tuq)qb9+pF0XPE=F;Y5DG0BAIJxJ8|-#Z
z5r^qtqyDz_g)2UR`pJOT2^_}qdv7zZaBvI0nR{v`nCi*aC7*;8Bb#B0$kM)_T(|cT
zZ~1}EC)#~*Re-{@T)ZRi+NrsZFEg$6^=NT3Q)}qwKUEQY@}GW0+QmT$?P3{52k-8q
zml5$UW|qQmtJ`sAkW0QP`*#EW@uNyq9#>%y(s^%eA#<0oWC+wu*TM8TUFLzh*f
z42bLlu(uZ;p-B8?UA}lZTCFy}a1-COXJko1BD~9mSV0?+n=HR`V%c%@^0%WhRysvk
z0kyZ@r`cj{SIsZSBF7@0!9e{U0eqSrsSC^=C_j*+98cpoD{nbPB(+|uwdf~w>*d#f
zxu5p~boW(<enQ|2qpeg&j{L8@#|+nQ-^R)sjtYxKSEZbAuoQyLP+g<(9pj_Zda*ff
zHE{-%Fx#PtYg@aZ)H_6Q_d_Q0k)wfG$T$B|$!CCroC_0nIk2=W4$ZB-?>LIkg8Kik
z^_Edpc47A~ozf-U-6cqOrwB-cbc4XA8>A#81!<(DyF;WA*n~8Q(v5U;7LV_HV*JlH
z$KaED@B3cYy5^j}`5;VShEtu@KbBX<j5pJ27_7SX<3p&3ir^n5S}Ewam@iFJddn>F
zQ`tp?Q<roV-zr&GMm+JgA8Y$gZRZ*}B$!SsJ%X`>Sq<O@7L;PsyQ#-A(1Vxx7aXro
zrmcv&>=-P?AQ{}9{@w_N>xTI}tU>HAtXNZTj|9aUc$VZS)y`4Ymyq@q&`_7e^oe0J
zlNkJ0&3CH~-p(3+8Afj`M@o6ujh|oawnF4fw*8^OL&(O77LkPQMOeVY-8I1fG^no5
zmg~9AnMII4h3m*6b08AN54_=%n1I;<3R+nM0S(g;<R}p#r62!C9wn?PKwMcpOGRgH
zU5BgR);C4cM-xU~fkY|T=u`Cmd1K5RWM9)XsU0p8cKj(R=SmTdK1WUF4W5m03FLm_
zv%UN$EsY~l%fxWHe)*Db^S(FQ+ox2F-ZSD0kdhy^TFGC#<iZw0#9j>g;o+p`FP{YH
z@pm&gTqtukBd#-@D7+aueWjI)B;qlN5`sK4{ujnusC}2YY_?wMYoO+z;=Rvv-ba!M
zF~KH^lO<6(CQBdTOz`yKpB;ljkL);~F5912!(pchazQu!%-d92m1WkL4P)CM4prtf
z%}+{a_lVmf+%crXQA?HL9B=Z<`0wKq1^D7!WAo(@0?v1TK2?=>1^6?E8B1+;cl{sM
z%*(x5=e}qHP}cBA8cVbu*c1upa**U{j!{uDVsDZ^)>T}c_(uJtAZwqj3!`iZ){~N3
zUZb7<kqBSP*CE#6KD|efeK(_Hd0#39bGDXsT~L#90!vKt^?dg}F9_%FxcBqdzatX{
zF5Q+F@?0irBejSKq|`}=q$ln@+A|{r$M>8gUMNUg97y2$M4qxuE9{bGs+5I64(D}H
zS-euU{K@^sOOq(gz9&YO3}_C*+fPk&dlebgj=V5N_$&FPW*frD&Asi3muqMgpu+82
zYS~+9Kw<X0HW)Tf)Ayo|nUV3l2A;1RW-TZjqry<xenj&&h8Oakqk(Dw7J^KyONm3B
z&uI7Ca$W2+eH>g}a$8!wL0!cSNS}$=&y)koAYT|4=(P~P`;8?XfoaqgaIXezo8UUr
z1uDRRi*@8Z04q2xc|GOmf$jVD=+|vbx)05NqX!cGF@*SqcxIuPtrsJexQLpa>bxL3
zxjL%Iy~+iC{jg8icd}zj<sorG2oyViBhoh8&L6HW80BRD$SkXBV>whx<poYr>U%``
zm9zQj7V!sZkiu7F+_!KDe2t>Y&=m6l>h-St%41tt^hG4j_q{Bi?1Se_s99ghaf~I+
z($c>)jW-fOJ^4Kv_YApiaDZkC*>1l3@r_B^65qyFVy%7I<H!5D=xp(moc;@VNC&CG
zWDllf+6AV*<rHex5N>U)6xaUACY(Fk#DX*=8pC5@j}pi-V3z`ziZMj&`uI{_<Gw4r
zfHM?$ofe2nZ3reW&n4FZ5dS)k1qG}2Cb#-1c^w`1tR~mPPo0O(j~C8>*tIqg&)L9b
zJw|rd;rMS#drx<))=3UquM+;NM1-RLl|!u0u38fj?4<E({M9gg$Jbm2Toz)5?^hml
zQdUwVIs~9T8WC>wvRg@0pRfLCgi;4agWREwyafe1@#Qsn0>}HzxX}d8vU#=JCap_b
z1X=<g7zb`~;Y8lL$xoGQmQ@<GJf=W%Zxk#vniie<UA1M=%NJ+b18G*;q!t}T7)n>d
z&Kp@3;ZLdg63%}2^+B$Q9x;DOWy-uY#W<wG>Q(cOMmA#4Q9@zDEG8?eN3_t|nhjwT
zhJJBE=P#S#RzkIc!dW_+ew|s5I`+Y{luwN7@;w2+p+2#V-Prs_n&BiO?yb)mWjBA$
z;|THLN}B9IlOC4El%)>-%PC41h#^oU^!}_odW&B8%GPI>t4XT@X7QPWbmB_nJ`V{=
zE`5ycvU9n^I=h<>HBTO|Lg^iDVKPM3sH;5_b0nFzoSgY#-RyJsE%{p#KC50x&MOU9
zheah>c!tvGPsVeyUWRT$jE=h1jtsfWGu~exC?<Q2iZ2bMSk)Bq3xDVe0x#gk%zFBX
zP*+J_T+3kk9WG9<nE`#~A9C5kt*fKjqV3l@v8^tp{CXpwMm!tt;pDCNk9~)w4%j?z
zdS&UH=3eoiiQ49HFa|f7Fni(2l|19H?PxiRFhY{;A>7FO>IGAw@|z42-Lu!tc=dlf
zFv`fC<6%@^P7Rr+tGqG6CkXmWD^>REqB}HpaXOhp2Ieawm3U1fgj?I8M@VI$M^obu
z%X0C81ubd4E>bMa;yBh^Tue6`I*!MFRx!%*524X$TSO{Ue-j6{s9!u%=JY|4b9iVz
zx9%tGDQ?9zwKpF4Z$vb$2)SpbrY|?xA|;5n@p1S*=NErXN*Aq1=N2OMZ2iLvimFei
z)p(JYgPjVg&mfdG-=u!flVs<r<17)r5f3dq*J!AD6)<`rBYu{10p(y*65f2x^h^&R
zI{|Fbb*El|)L7?4IhsDf&vhO`c3X(^w_1>&hbcHswAWu!>`@o%MnhdVNdv$9s`Y6j
z74kqcToqaQ$lN6{9a3p-QYsUBXQkWgH5_}?pcS6K*X+Z*B-ORuD8&<dFkTXKE0`z!
zqWb37J#7}{>Q{~KCSgv!fT0(hM|Y$-a*EHg(TqIe#}_~8ZQd&uEH>YzWw7pbb%-r0
zrc&6|EEM+M-Vhf3HgrN(&aCSd!i`u=uYXrIHd&l)tsgLB>^mXKt@Jr9M%HYczC82y
z-iy1!eXupy+^`d`X^8536K$^O%qpJxIH%%Ed#mwau6kXmxRBe|A&ruw6SKzR7R5vJ
znp8_DzHry%^N4Tu0O2-nv%PO}l_e){mf4JTMKb|vJML!-)0UwSuW5gr6b2fpWM)ce
z@Za<ZnQpPvn=p@k_k`)gPNgWBZekMCy6qpAp<<c3^1mc7Ck#QehoHM^NofE*<glep
z!GeMEThy0)!O@^@+4+=}vXr}#ErQEG&GGL3q*GM<EkC+33G{^<PtLTZ{`T4bE<IVw
zJs%JB(Vxf7(vHJ~a$>yPbGaS!ZGVTp-w^f?pdE!?y@5tT#*^NDr%7}n*mBldvL}!X
zSp*ERme}*(VVXw1^uZMGvEyE|_V=JZMb(}T0)S<^Y~K>qHS+igaD>Fm)8IDhGen<;
zKi4GpKibv4&~X3(-fqWi!$wIZbA^eL*(}b_iHYFw+>uHeePjKq2H%{8MpzOl&cNQU
zS;MDrllLWA7xfCy5{TKWju1zKo9tD!26Bz~1}o_-BF4kZs~t(bF+W<sqiY$wA1>8U
zRcHLj*u1b3I|Dt5KqGAn_wz)<Q>pAbNPcb2Rrd=<@+HM+U3KU>?BXJGp6qJLqDEXO
zdF5N{_vR{e+|Yc~^dzk=LYj3(ODwQD2%n^UZIGSa7pFffnj8<~KWn@0r{L%vXkFie
zAoq+PGxU>rbMeXhKiD5!82Dxrf2l5Zsj|~T8m>ihgJmB~1%d)TxQE4^5knLBj8KAx
z522h-4F@r>ZDl7eVNhk$%{dx|hdWvlkHQEJUPet5-QUz_Pj$C{q8R(*$bG@EoCB~4
zARE6B1PlKsBQa&GQSsj%=#$G`m+0b&-OiD;x@h4UvPdlNc<VD?V~>tP2Aa$1IgfW+
z$RG3(n3%kgB!V_(@%`VltlQn8yijX`qZHmWIg4+$@b(ZSix@;Q>wEl}*>d$akn%nt
zE!9)-SjArml}zgV;{3P4p&)r6*2AOI{$aahxh1br^UY^=TgR|C%_2iXRGha))4kX@
zOxr4&hm}n}O(?TBak`ZUJJc{mlAGQKh9<Yz-GOZ3kja_)FjB`}ThHS<K~befiWG;X
zF|pi8ratS%we6aES8M{K{K><wVGhKc9M><VasdfOiR=o8#F;wGKj*pLjdW+XN2JW=
zn#%Q8IZXzII|X<}nCr^Uz#INTaS6eV=L?jy<!Jk5=nlr(w{va%uQauZKuxY+?jEuc
z)r&~<`hrS2AN`sXrP4*3w0B|LO}4^wNn?r&+8Ja`0oREf#Rb7ujYo9gO)W_YSynqh
z@w2zzgDg5;f|3(6kec-dqYX#vc0Ldru_#2Ye1UiCi((Sc%bwiMAnFCEc?}?x4*-x)
ze*!yOA)m8tu*f|EL9eGf=2Nc#vsTeF5<Z)q$-+KJt>nKW4us-Hb?I#fke?^NLGsX|
zY{Q%UK>n8=nrmCrc=<VGb6zet!G35;fq_d9#XY$?R2*Hs#5e7`aYOO0=S0c)^WBun
zEOE-(6$Le8YFIl}bU%&aj!_{AMhD*f`sa4eq(AWr`^qH6>0<McwC-sulvV>{giOwH
zv{5q&FhZW=?e-K}e<N>V-)WYt$4a)gGaH1C4!qVfG>}Zq9-A2)^s{r&!}!69`h(1I
z532_vu~##{24kW2HM^3pWHeli$eW7NdRKlT!4_pQB9F9}eo(e3ZkSBO%LU749|q;_
ziC_m(mK}E|BTqF7PjnV=sg5Umd9qWSBlbHC513|`K^A#>nlJF-4z$njw1U|ij8#v-
z(<nT~Y}bBbFeZru_3b|wINce?KK4z%X_Lxc_ab-x)tF^}-ODs5KF<X)^aJX9n7!3;
z$Ef$`6*18$n8-9C>$agd6MbsJ3aSST9UcXzA0YQzbQS(EGB!uD5?#%7NyWo{FT!&T
zCYoR4^2ZfYcS0x#N7ZWgf`%(h$%Uer*YQTqeu-^GeBiMo39v*r7E%shOjiv?<h_j;
z%a$6WSr7g>UF~5^Ps36zST=4!qQ!To9*aFzf`Yqxcw4q|QJ)w`3Au*|&nI9SW$kqX
zbkJL{X>zi&BN6pEd-_Gd10p-P1cRM_-34%hO=9lNRQT?e7H4E+Gy=^AxT4O0vRyL(
zRGtsKPbpyRp3IkS0rz_*CV&J%{WM>Pt%M&0rv)*SSUKF$P!m~jeVY{ZNKT`~DQr2=
zmd*OeTMHy=eh9jrWIH55#4%x$bTK7!FLWVg;oYzka?>AA1l{o{5!eoiY;#}t<_S}O
zh7^-U!{X7~HP8BMp2!X1l!4;z-_tnq9a%7AH1U1Kk|c2M6iMrJ02<LweGi+zqgKy>
zN>!-sK|vTxl^bm34cAaoFgJ!+V9?;=uwBG}a-MGwcY5&fzg_^Sx=80(GA<E8yJ?#X
zD7qsNI&_8}J{Og7F7$U1i>EHDMwA#25d$o4Xz_Ci{V=|??P{VMBv9?c@_Q<X<jUDb
zA|Wh*Ozh_2_XV{mqR8>p23X}dI5|B4a4?4_YdG}jQbHXD!g)`X^B_-#PJIWoZGGUt
z+@G)e-WJr&NC0FnG5Fi_=u2V$+r>VG9i4L0b=;*Lsq*sTW%NDj@+=jz^~&NAT?_j7
zGfkN+N1s;mkrwObc<L|>NSx8gLhvN62ZEWzdUWrQ;~mq|!&|Jj1G9oj8~o|XFCKlK
z=Hvwdq-}{N2q)9d#pB83#Z-ar*%@fXjxWNeqQAbzf|AN`e%1D{sx0{|G1cecFMN}$
z%H_*sJz~5eUSF<=lINkD)*eYWp4?G?IPEQ0zGE3gkhygs%~D|ZJK#$uLVWi?Txo(j
z8K#mnDT4bO=aNQYQ<d%2ph<-!cY1pVX=^Nc(SCM`*VSYR-v+Qda8-LQg(_+Z(gKIC
z34)z|aKEumFlP&H8qj0=>s2jy<b2`VaTal3dD@lA?YpCEi+wMX8dyG;(HEMEBk}je
zOY(Oo8wTznLSYb6gPl;h_=YwX`5}k`v^buR<5pwyPG5yF($=sd(R@P~W-=8)18?Ol
zN{MRK@#Js*`{w}kD~<{HS)8D692C7*J^ec_E)HObRkB6q-BzJ_(ogotJn4v;)`)+g
z2OAp&ED;Y+K}o!|*kvgJ%lse|)lw80uanbEdN^4`*)_OQuMb*p7AfCkBYP*0(~`v7
zKsg>>PiLKMb<a9o+^mW1YB6+gs~8GHMsU0dg96RavQgnU6+?LA^!uMJB1-O@kXz@$
zEu%Q5P`qGD(1On)Uy7^XVb`-y8LC1(r+?*~hbL6@L8_CHd+-Fif<S2qmx{fZi)m1f
zYmf^8Doih41lesP%#TT!Npr((il33o3)uNK?7~LBare@-wMl!EH^;z0U%<UloZzzN
zd>6pFo;E!PQl9*Hjc2sv^enG}d`VmjeVTrVI==p(#6J?8CN2irGoMhGPtq-L7(C@>
zLEBr!0DK@AoxpXH9OPrao5zdlI53hT{1XFhP(;IxX`taKh!<bl9EG|D3dPV-VKA=;
zi^UtO6ZGH8T3VV{ti}%_Zf~W3C7ZWTi#&c!+PtnZahq+2IaPtPyLW++Z?EAK>hKY9
zfhwGWTevBeCS-3W;&czub+A>UE2`JKaO_wg^&lEc&vp{0%wkKK(~Z5dBH&!$H>|rv
zChq;kOlDQGhzlY4vz||H#mA=E)w3>y#yIMfO5TghOAjz3$dAdQ@{z!Oqk<SqY%@UM
za}{@B{Mq-$$?lC68sNgppe!#)+;`{)V38PnG=u7EzwOGi!fk_CM_{}fOpT+9d&G>1
z!CHcb*1w6TTJ#vwXvUDa6No#;uMx)9-i4*+%5ckuqr25)yhmT~IEQlNDl^1Q8cS85
zz2$zcs25)XkvlTa`Z<d}<Zx7(C3SKf14{Uasn~a&lGKCHK1|JiJjKvJ9~JrBZGRh1
zm&tV@8|kSa=&@P4Gitl>u|D-{^P*9M@27zfm61Ws!1B$5MA#m7PGlKm4X7aE5LQD-
z=ro-?F7n-CayQWAvloU=rFFOw+2tuek%jIzvNKAaW|#OAI=-qwRkf$rjR+6Xx8|x&
z=N5!P3M2G_Uw`)TZ4yifQMEQEo5ZPV(CxUG3}vDQ<^KwO6p>dMaE->~%UU|wr}C?$
z5^7f1zu5iMEc}=&ypEn#AlQ)OqZ$RwnCLQKZR=^ErtA2#D!EnuE!;WnHPtFM)QoFh
z7+TnpIXJY<MhMR2792y0p*dEYRG50WkJzrZ9wOXNrVmOr04WmpGKx$U+K>Q~Yxei<
zXfI_2&;+*U$P1j~Rp>FP-qthIPvr)0gohG()uE5Urb{y6Ncp^ZZ8Ic|wwrd*b(+OM
znjU0c95J`>9mo4)Jzcf&ry=8sI-4>XD=ZKCuJzy}+5i1Nbr$zFFkOwrE^zqkvno(Z
zogSZd&xnrgH?FXAsdt+6&H=Xl8jOZ>9&Zg-9gDUMihr-(2XlIwNun(B5kn2R<o(Ix
zU#_IyNH6jw(Yo+;)Iq%KOdRekF4TrvR>Zv+6n=jsi^qMzxF2$iJH|}chJgshTCP@b
z{uv*7_WXM#3Ae|6&Fc$l{IQ2Q^_<5IEXsyw<g-2qiNAWPSbzQeWDe<+leyB)p03M>
zE8iEpVwJ&%v-|$8Xe%tFJm)2;`$_`}si&rHG~^~;n5q>gn&ag$SXeKDd@i^F?H3pW
zb{#m`a|;V)H~XDW6<E$tQT>rTHV=ZPD<;krwkMNFqA1ZK`RP?YrLN~y-``!ldSi@U
zJ*(E1{8+tiQ5d~%9PKs7eeLt8qH(YRot(1jz0AHBlyEOk<Ze!CIIM}H6s2QCZ6alh
z-X*n;g3eV<(h2Y<_%5VxlZ)gE%#JttE<{A4>IiNpDc@G7U$Dr(^_Ia+z?gTG*{iRu
zAmPE@Db3Ci`eTH=IAF{c4I<O`(~IiAjQ2MW`$)b_p3Nnt&i0G?7t3bixP9nA+poo0
zTc*Yh(h@a8xpfVCS&gfPWaD<8F+8=9Tg>rA{6uZyZ++7KardMF%$`}<6^`%14*LnV
z(EJCA$qGc}Ir=k%A^4{#W$w#k(`p_nLqeKeW(gl=fz-Z;dX(5OqhU2?3>x(AbR&jf
zX&Y-Bt2A;txiW0oIaMgtGvWt1n_Vh)L<d%a9R-C96zdVDb>>Euz%wFNh+ICB&ih$4
zlVo)a!tFEcj3mXFV0$QvoUh0|s|cfm_?JgxP)ZetTAbz(;dg891bd4ugbBIwROO|z
znHEhLu=*(PN;Q>N+{QkD9RZZcwk90C=Qt@Sv_D+b7%Q?`Bz#%1zC}_mFURNKE#ese
zdav3w94eJ8Ov@w4L=qSlk!``uDxWKibq890uYf<(dAaq8%hmzV21>h^VDw#l>P-Ad
zD<1$r(9P#F2ET*F0mF-k!*Fh9<^`YyNMp`h)tx<YA8c%(WL`m5o}s+TM*<Q_Lk-=w
z+x;rJlFUK}c}7ae)!ORJ?@k=810A%DyI#jT(N%x?slv#MB4UR)@iVBR(dad`6C+Je
zBk#|v^Hq(P91F;NYP^h&SK8bB>kc(3sdr|G-nI9(rEva2B;9XgnkFFo%XIZAGWrPa
z!2&+16j_?z^%fHHnXX|NtEw$`>CR?U{x~wegAW*qbdCNYYHK-)qLU+!DxNRdLE7g^
ziuL^$PI<PJeU_XbC*4W%U9Zk`02a*-RX%we7EUDByv*R#&22(4xpgRxv@SZFIADqd
z!wdfs=j^<C8`a(QaI;4%ANP#<2bg6+(tisuGC&%JQ8lCfZC^C_)DD*1#*Ny&T%)=L
z`1zOLjj%s~MgT|QVNLvD4Qv#c8zW*v|0zR!$P|^Y6`8YSH|cD{rYI;Jh68LzOwT7z
zs}LQS8&dsY9-E??9FRAWypHY>PaQNWE0=e0w;LTj6AVfXDf?l~(v#N|O$)=PCYHBp
zNPoyzVrD(Cb~WKuyWuevyuVkFvw%Vz;*e#y1jO-X+<PjWWHE?qUpMQ-Mh}wYW?Khh
zg2pOGb#s~aAdV{Xx#UK8N-3RkNtwt9H~Xb*BOih#JpP{3Oz&Hmj5<dXe0F0DXw0Nl
z0ZLXJiegM;B<?L6B-#UeO_3E&L$psMQUe*`qZ}oVz4zSEwLd<NrHnha%x2KE)AoMq
zfv-~2BsP|54&@5o?D!!x3*hee=g|q-Krmvi*>w#t^1Y^11=#iLx50%%zuCnM#SG{k
z@|6DWQQgi!2{LGO*!k7<2<%^Jf7b@OZtR*ct2^V8pB_wWn98dfbD_tC`cxh}iP^`5
zh;H4kPt4uQNQnA~JuRR3BL!V{YCr28cDXOW=Qh_iV$3yvx!g<he2@&y_b}}EAk!Vs
zlTC*3N$74To(9@cXAZFvb3`Db2}Yu~K_m%kbvf8~&l`G;V?9~w`H*S7uSgFctb$>;
zo~Gv2=9VZz5LqIrJ&;UvU#juj>kT(;uwHcPye29nHCLt&ew+iXQ&qD*o$pl&+QjLZ
z@3LbCDjN@{0wvFPJQxF^MJvqd5zm>DG4Z02KZ<r_3}+&Ac}o0K+d5)Ug03V!of?}Y
zsn^e>H+Se*E;aAoc)!yVd9)t(7ML7tp2J`GzF%0{l6<!|GTDlU`lmz%m)ku>*>q_A
ztj|(>thLhMr!b2=Uqt()Qia&@`UXLzTIZ-<_4h`BwBji%h=Qd{Z_4Dff6%1Vosq&^
zOQ8B^>q)dM+zaA^3TR3~n{0xMzk+5kJj9x&(TW6aHwauwo}l?p4Ft!(zXN9ZEg+$U
zVG9WffeW9K@M=7E4*)^lTpm$MJ?Ao&Ffbr>bXk=6=k|_kw%9=r^!r}NXv3mvQ>^z#
zjuw}1D!c!uy_H(l4|n9=1Z6mNtQvqZr4ns)>Bg40Kb6=Nl!0-iSxLe5(l1`%2v#O4
z;@dEOv~dg2-%5XH^yxW`lJpc0G88U>LdvJG6>IuY4*g*AjSqQ>>F1ZNdleW)BpDPj
ztLV(-ss%9hjZ!igT%-@~NW-Jsd^6|WHtlj&a#6uzA5qJti|%vpl!R^FXnHiueHFg(
zqqtdc%V<an3ufxTBG{zEqiHZtlO!<h&Je}*SDCYDMyyQgMhB8iS7KeXRf@eleuBQ<
z?3M*y)a8IJ3MBwrf)_+4AQC-+bHV220W^J+gZK}q;P5zTn1yKO1)h!y021l#&0ZDJ
z;`e^Z|D-w$@!%?~`gE!!XVO@NCd)h`Si&!;ueRk_s*Ypw^$y>_O{$o77-&ZSI>SDu
zu^p@)vJMj=y)3<`mP*O233?sK)XtZ?TqYvBd3RvLF6~`>tgz6!{W?Svsm?}+?I@X}
zjh^&ND#LOhYJI3YRiuGpnI9|;4FtzYdO4EP;{_hR_U*9R@=;%+kq1L8&UJr4Us&Yb
zX;0O{{9=CePlCAj2WGTq-=c1?uRzwx|KT(z5D=0gz`_)G(*Y9*td=;#TtGI^|MB)0
zI7gP{<0(1-ALi*zhf9Kz*lkXX)`e%Zb7Q{?$M@@bLYTbos%5WOqAuWj_pI8!>JWQ@
zqDF()^AR&BMF>M<K+i&nouG1d=Q7<NN&vg9$EAdme$68u!h?N=TwF&m$aMSe-9FXb
zWb)pmG<J40(7zKMsFfEpqvvdQdLIdJ7GC>ksB>MT%=Mg~DY>EwX6=XG3u?{1f5xY9
zeql?w-|JOzO8JI=AF3*e5CnXZ<eQCmuoZlgIq0wDizlij5cE!nBC5z;*$uyZEsB^9
zUI7Mr{Ls<PTs3RuDa$eXc71`YN9qoOLFo$Kqj1dJlCBh%p2&n^$!PK_LxUUmOByY)
z++#7B+=SvP7r30&e{w7a^V?!uYE{o-ph8^p8MqiHs<RuaU-mjBl4?Z>2Aw#fbuc!d
zK;1nPFf!n=H2l3XGRN!gQ!J?Hj}s+>F(<x#8-}q*^sytsQkS$JvDKF)Z$DAu-};jL
z+~}OONh_Newj!GG*1-T_ABjFQVyfGVWu>SLRjJ^W`Zz0&>rmsotWOuHfSr1fvfQPq
zoIZq5zdLhfYPZnUMBA04rMB<O*}}e^JA`m)2)8Llk|3|WiOR1ZJ>lvWTYngh>hvg#
zonMq$^~L#jgCn61GnQ+&-wSeISoB`SDTbfTzwQq*T$<8Y%nrFJq}8u1fkzvO#Qd8A
zO+Ucpk=3J=s>{gASjTO=;IXV86S7M$SKP{(`hHM12SHX`&B7RVBI=2`V>wGcU6bGW
z+c?z+YGz-(ZL=}4+6?I=G)NNB%8zHkgt>5wt~krT6KMhDLbb550@{RmZXwMEv<@~S
zt6ArGrV=%?GN_h~r~6p6t9J;|9S?Rmsn+g?ev9};mK&(eEKOLzU;_2O;!Qw6YTd7`
zJR~Eg%ZYj-IDvBqIAy@z?(rK|KsA6H;4dz&$o_jm+c5n&LxvX?UmhR#&(=HmQdirb
zC<bA?(nl}ucqSYXpQV#sK>gAEeyiNdqV8|zk35&@O7pR3jXcJ)Nv9=2<?IZ|as!@b
zCq-_w(-@MyP<UqH{x+uU=$+IYkt6nTTWyxXjvmtqml?2oMF?t6IV}z>99y>tv&%gE
z{yM(bVJ1$~f%(|B!1?RV^vD3JHP&ssaPHhGWGHxc8z(pr80Wy!w+XukFgpK&3Xdf>
z^>4CAK18J-45g%`p4pr|s1QhT(jM6U<P#ojACqW0Fx~9#nJtVrB5Hb^BYP)A!tN|R
zlLY@LUs%8T(66=JCRR@sgEHkGk*dQp{)ZBIE8DxLF`}AsgWPkbEju@G7s*=&gI1#L
zpuAHK!@yezPcqwa!)-oNEG*S{q{X7C&1k3=l7rcCo~AopT<5G*<kNm?*0l8{(3F;M
zD-#Ll8oehjm12Xxh>8%2Gcf(d(U<TGYVg2k(DIPQF96)%OIboRc?x?Y*=p&#NX;H2
zOlmgKulB9j<Q%?ETX!mp2ZF^=Ab9u@WrFqMIG9goDhz<)@awZvt1Uor75;jP*nr_;
z74(+1f}nnpTGj%XUV$3`glw!2Kn2oFMH|@f7OQ2ENHNu1g4K>=ZMNaRLyP1aJm>Pn
z>kZ7H@9DL!_0puUp9>$n=aJcAO^ZiI%xxD$Zty-@@3CE`l(I!?EuQGU%ElNAyft9e
zi3lsxnoG3u#{QjAjsAI}e{UbJ$ohi<{W0aA4-ApV<JOScVvGf$Yj870OfenABh*CK
zZBJU;ki743!+E>o0pl<KbGqcU;C^e$qz!tmT?fWZ!lb$i#Yecn5@qUFC>Nu#Tt(3D
zF~bS@ClNTX{3JMN;SZ3^fteoof8#3hdu%5#HUYR|EZIw*Fs}ax=LRSRz{L#&d|;7S
z_^Ms@aCr3K1VAV7$e0dxb~k_H1N}g4ZP#%RI%pdL8%S$qhets70HrPuN0*?r3uJA`
zd974xIu4BfXQzSM{=t0K_?OD6OPf?1!l##_gb{Ox?urwxkx8*ygRV@yN$M$04ho(^
zerwbDW--^A9RktWI>L2Hsq}Z~wIXDt*hmW0FDZVA^2B_5FIo+0>`FSj;f!7pyD1>Q
zuIjrhY5S3*h3%@|u<-V`6=LA$`mCOfrGs;K&1fHp^L^<841dwtw9<ySxoU-S1MTs&
z|JOc5DKR8%d>__2p<=q*7w|7JC3=GdQ!sfWvMvTt`QGgDyaN;$<7!h$dHI3<SW+xN
ztpdN8QsCllJ7`?2wN%#90<_yFrvo5Wole9DxPu=Pm_eDjAOG*XOsT~5%nU$&rF8(u
zlE8|BgPA|kf0)~Gi8P6V^_K{L(E4?}BR5;q(+?7T%T95nVLXbJ(}g5wh1FGgzn2n`
zcclEis}oyn2q7oPEXII)tz^_gtO^5-$(L{uCU^vFL=AuaZA^ojW<M5eM4r~k(WE@1
z4XWjaQ!HT(Xi<oE%vzSATo|)?)Q6V|%q#B=V8%GH=I>0?i6(9!46yx9wfV53F^%Md
z%5u*|kmxK3%HSP-BKh>A1jy!jw~6O1uf$TkCFQx`3SD%>*Y+NZljR&9aMHcbZ+D7^
zUSA5o9oMl$$tBaqY@4O})AC_gIswI8-g8RKLdcd?qd4gkSIZuANHd`iis(p2=~nVX
z37s@SSmwva@a}O<^dsr4s%a$hh{!R)0baMJeu1KL!<G{;?*#sTaB~tzQxg*tAo7AO
z<?DM3tc+ST$KV%QNU8i>&}H>(XX+9N3;&G}KFG)PulNN=`wuG8tBr2j0>d=?H8$eO
zrJHY(PjrTiVG>;Q?&E~YJkp(p{aozkb5+~#BT?|6{t2<$VHeai3a?56bwA*=?(1k9
z7QPirL=6qU(e-j?kNL@>bMR`7eD4<3ow{(0RdV)>poglpA~3nGkcYuJtwPy3DfJTD
zUxL9d=<RiAN=3<f)4Q*QyPUSqLQKDvl)dhBHIW%$!6!eccG6lz-Z)rr&^%Xeab3vG
znvuMfHpgHnS>E=`9mE@@#tII%)EKA#77`z4CAF2KC7h83`&rRvEAGB{l2WUYvlzuc
z^~0oAwP;NR?t&7%<D200NBvROzTdClf-==qreQbva;s0r4=A$|hSr-?`SUG8XP8pD
zkzH%9HCevCF{03@K_#I-bdbN`qUjcc^QNOaEqQjskK?dDVL9kfoL3EA2cW>g12CHp
z4h{g8o273u;{O0`-~Kn!2Rv1;g03y&PQPn_gnZ)m0ITCpJm~WS-^lXH$`daT74PnZ
z(;xn67&s#is*=J{om}f<`O~3fUD;kt7rPM3o-zl$QsHGVkz?3vwW*anc$t=KU^^@n
z@MYKqhG238&y@2vh$<3=z<&<2#DGG4*mBR?GUvFVtW(Q&J3o;1eh<H<jOL~3niD7G
zdG&<0FJfnkWLVtCWk>4}8!O7~pxnPYyk|z3D9;<n8`)utmk^p%YAkSW+#w%d1`$TX
z+mj5~wM@K%NLaboOh`xn_=M9&4(%x#c`P^^xH@s8)8wz-&8N9)+<(>}J<-p9*L$9v
z>YYVSs%<<au8>XgsS=6X$!fq~20>#Gg<L}a9>!1gOFIf?*Ujb_XG~_mr;f?6;-tj&
zGJ@YP2F24D80)2zzCyom^(D#IVfD%%q!k958lzIPVP<)vrQF#_LNg7Qhol_mYLEi(
zzVmJr$KM3kq#Ukdc|^e+R6I-sYV!RNRbRny?9E2H*g1JFW5@E=6Fe^C>AYKW=JDi!
zIP*lz1;r9$NdT`m%v$9K+7$!$Dw;OObHssx5-i?<5Yc(DV1F_IayjZxn+LF)Kz{bT
z8t8FgLa%}t9T0pWd-Bx3{}EiAy(ko9wIKgm5P7y?ZHQNPAFa#J*R)g|FL!Sz@}~a{
z{;tr^ywBsjD4!3g3NyZ|T_0w!I8RJ3MbcRai;4G)C&*716D^aBEm~uxWr>h|)F-PE
z`T(6Of~JwZDMtu5d6f<6@4OZI71mz?b%ma+QSWJfeID9NK077x)#5vp+0jfNlUGY(
zY~`zSFuucgd%b|SQ0^Q3qCS4UeJABTT%;LJ{k(9BkSiLE5l*qlhqOTTCMB6^u7bfe
zu(LJyy@4D0fK#3BLb1*H&T0Urs~*`u`A+f`iFc=7c+6a1o_xbbBk{je>eJ=k`R5mp
z4QB!(EYn40^ol%gnVBpMlhOcY!AEE$R{<~2mt%0VCN03$6F<fucBX4;CR55Bq@K~P
zVi<F0HPYV(2>dROXZG%E+o8$fo^Z5s@}-aj&#z;}W4wl_qO!m7%A2el*n{LrtKfDH
z3&j6mz+|W{58_^g$y08(A?9N3&*8<f-*a32q@BC@^CeU{kSyS*_^N#S<#A^U+iS{v
zlhAbXkxZ=Z1MWwEtsN{|mC|wdcNc^?x{rd>n3K7@=7TGR;*}YJECFGfo41s6O=kn#
z1rcWUBSzvoJH+Q3kB6(@tIu!8myK_v0|Y2PwN#%CB<lW}_V2z+{vLO2N=d`6s{Al+
zYt$NTzVZ9&?-FMKzCljcC89?jfvMWC)(2rb&$R^mfHQ+-$IJx^dT*^W{m6_JI+ua-
zGOEbpPaK#N$Y^B3r>7~O<en86R#e;%|4Mu4?xwgM){-0XkbWAGQ86N{U$oaWR4mt7
z%a*B>CpdIRNE`9Noa<hVzm;YU&=UBF@krg+?M1<7<j(W(u(#1fxafs|*7Ayl1KTwe
z+!PV0D&Le&X?I%mRAa4N=EZxwe1S5?nS+=qJLv#(gmx=y*7b^M=;P9Rj&H${vmqQF
zQCRYxF2<#&?bIesuD5jC7<NqC#H4dxZ=0w%lrXdWXH8KAPd9#To14jW>!7mHF~KA3
zV0>^6Jwr0%PtuKGmdVlj5G4|G7&^MXv*x#%&A2P-@wh<`t)fQK(I@P#Jn)sQAbswr
zI8u``Mrh~xsj-pQP<HA>W%b0`vtAHOk%{cT%<Q;?F!q-ixn>_B&m<i`Z08*upArZA
z9OH-ACcmWaWUUcL6ghl1E;V3%52n3QW(t0av8Kgr=4rfKFW0QkQrrJ)TAcGcFS|`|
z-7672d5rH=P4+5_#xNJF;p~hKp;`E3+E=ywxjV(XU)#8=Td2!kt&Q~7&Xgfj_n(N<
z^DmR_UAIKfbLipBM*?%r*LsG01c+6A{Jj%%dNO}rf|xD5b2fHQ3=n8P@+pj&JcLKE
zMRnD{``z-$!EC;FrCBJcwd-n1YL*kUqVIeRR!d_m8KlU=?H{+sbTWw>(CZvN#zor8
z<&{y(+dRQ+_D{TaKV7bY8E5S0ecM0G84@>Cb<>$V{;t`}dyLJk9ZUQKpi{%KQ@1Nh
zPH3+3mRKHV{JY7!OqS%ExBF^jQss~^yT$#iu6GP*_Av=KTfOMMu}BJ*Qon!aamPMi
z{-CMfd|a)iE`~wYophyfJu|WzJ`9bD3MP*uUVceX*jLSy-7^p;0F%lgPp0iX=L*1n
z5Je%ujHW5g#BR)i=F$LlSMXvC*faQL=jez*?FU57>v2HF#O?vDB-UWy1&}|W;u`vZ
zOOxR{MU>y?vnJvI=BiU^I1lC#Y0Q@vU`6>o0xM0m11xut$y_7=QF@bqE06qty#U$%
z`2VDV1nM&(P?gAREx$a~tx0M#02Cn2n`u&7augCizT}XASQx*rmZ=%4`b>rHNZ&d~
zaLk}lL8I3VVyW(bzID(Z6{r}qOL83U$PN*-gTQ$%9}uiaSpo#%i2M1GmTFb{m_ML0
zymxO1h8>nL{LHdN?07p$i(%ms@d^zmxSy}`=k$`6@Y!1_Jc)=nHLf|fbzK5sXvIau
z+zLzGg*%F<)UQw!ECljG>l)Z832YN&U&%kt3HllCcBrHCAED}${yRg>K8*XMGQsC>
zYCKjA^!3FqYT_&O8|=V_8$dFj0=KZpWY|)3AXf7E^XE&D+rsVv__M`@1t}EJ5a9)A
zu5ln-0`5<oe!tPd{;Pd6<Etxt@c2?){68o4`z(0QE;oJH6kH==M=`vs`c*fnH4)YZ
z=oi|uA0g|lun}`H&sk7pN|Ql{kHM`D55$}!3orj;gv)y|+1GZ_ky}#skij?Z_fDvP
zkbYyZE$;|=Sh=GH$u?#Ma?Ji&pfR-`R1Ts88F@#`y4zJ`)#X{B8_>y0b<P%Clvzs|
z+=Or$PkFt&>2M<vDm2j*{;?srdb^hyA!*1jL`%LLQMZanMsqhr(8Z@Mn)~e{Mfy#U
zP(XdD7|lxIcazU6aCImO+ZHFQaozGiV%mk>jcr4#4*sTAr>Xd)Ja5&*>q(b%q--W6
zj>@eW$2#I}yug1-+kl<F_<!sHB#fSTfCjb!PLJaVaX-*}f<er)zWD3m0(5BtsB*pg
z&Z~X5wOE0NeQWVHkbag%`Tx;iz&Eqbyq@h({@+dGD0oJ+N0=njTc9RoHzr^(nY(!5
zOB*{U=PLuDM}I}WH;RdDk5WVye2jRmi8r7D)rKH~>dRwkY?d-%%fiat+89Otl~xKC
z#D6Qoki&DIX;>=rAQ@|r((KBaDO!zaAYfi<S#9$t2pbY^hx;~_+$-c4*C64jo!lfr
zo|#kp3Q!e|#liSv7SVS~Tyvg$VsJKJLnlDsw~AuckQtYoP3TNn&Czt7V%SORN8-F@
z&4GI~bh4B{2V1{;eDe9uGlbvY^Ylo#E%puF4Dmb_{{q~Lsvz}5hMKkX;Y{|M4Lok-
z^|fa{*BaMK%oT;49mg*et-A#?uisgsQTKQ&T@$TPN%wKlmF%bxbQ<$xa&e`bUnMlR
z2#zdls>Lztxtp@s*jOvQ<jz)mwlmyMj3dM`E(Jf$FItrRiUMvmU!PIO!s%QzMf8g?
z#u==DE(P3Sti=`YW%(!l0NsZ*!<y=E4c$vrs3JadG&i}@LkU>Vd+p7JP}kM+T#1KJ
zjNliY{xq?z53CO*iJyFo-v@1=PjMFTg+8@XgL0&YHqh|<l*1ZfZ`%Kl1NhVo@(r0X
zS-zp6VHC`D`*q`()a3wU*Z+Z-Ri}Ioc+SQ|oA#7m9kyWnzeE3D?USyIwi^vr0O7?u
zB!A~dk(Cb7Gm`n-U$aWh1dE`Oce|TVZ3yj>-TLI9U*5kKiv;alQTdx*HCGBw%kkI{
z<vD(0j4cbSY+V6td+dRAGzGc>FGq!FrHA_Vn!`BX?feH6q2t>oZiZS@<G%NA<$Q>6
z*|1wbzM2*NaZLiy<6Ak_ov8=TIWrMy)dV{%U6IA_izaqTd=;5-<`NnGjCwZH&oF|V
zv^F3lQMriMUy^=7b{476&UOkQe5w<?x;{c#8fwq7s+ooLv<PmBa{_MiA}I8$O}{;f
zI^a$GWG?IpLj}DC)=}NGVVz+Y7Z*=uA7G(n<mTpvVg{hwPX$6f;poyRpuZYCTm`>_
zk7~DG1pQOfc*0iHMiHy2k~%TT%b6s9YLzaka(-P`HsQqCSC~#{*pH$5y-lq>jU4^Q
z14o8+yq1&Ztd&V-PV9_2S$~$1{0x8N`?JFk(FbCC>Dzi~fpJ73Vs1^^O}dVj4BCmE
z+3HQ)jM~F51AIRtf#Ot>@?Ndo_iy%>JzM?NSe7PxZV_Qm=ISUr12tZ2W$GFA&q>g&
z5TUXICf92w+dSv%#0guR>Dc{bhh*P{9DQrmHmYWtQL)_aNXaS=uCJU`_&>;mPSe>I
zD%Wz&PvGkymPIl4F$S9H7x-rvJ9jc|T%QptoQu^NB~^8O0*1|IiMBaut$)e;*2iGv
zrP<iqlLA*BNC+~jWzLcRpA^3cY(fshtE8Me3jlbh4%^E1bppvXdbp~~C8YoLa$bq3
zwd5-l81*sI#4UJhHqu6(M0Zy5>ISA1h_PTNAp74ZqGK7`AUIZJNWCh+UEd`{*V^$6
z$v~<Nq2J5BmUsE48S$KCpuE6AQtFqX&z>WE&Qi3~l+aK7F;76uX@BINX6{U%qPYKN
zRB$gpl6(L~&wD{dVp*Xar~Cr54lzH&Bih%qIuz5U)FoLq*~Cr5e_dyg%!_0xj`x)o
zVoLi2g%`;q4f4QFY;mWnlB#26nZ4YNI)*`Fz)+ae3Rde!s^(S>b*Rz6nXDz+)sAmQ
zsZ^D^E?clk8{{B{vr`bT*8s%#9`y8zU9E-!#LjK!WrsTM6@czM{>BOfh&CIr5CZ1T
zhpxxlE+9`n=~$)VX(j>Jps@G;z&TJDKoQCS-WQa8IojIh`8vV>56De+-(j5B_y#5K
znI3up$`&0}#Z_Y>JOABcgdh>5-jqTk2K&a-EX)m1JiVFn(z3%BgVw!E7xLx8&Ln`y
zhEtuhWXxAN!Q%jvdh%uf*$OW?*JHJmNH?_gHj}m=ucglq8X$6gG4t~aefV*m4+cqy
zQ<^U{uO+>>KWMNU`37OWe=oZ~S#uD1)K)JymFFuGvPO;jGd2vEj}%_@ipV<hmGc`8
zAza!3N~EvwN*$i1O#!w2fC-5X{bvh{<PzKPPj11p>`9AvB5Z;lML}J08{c##F6393
z{krORR1Xygz#Cscp-2|S9mx)#RO+z@oip>PAOZA`1J&=z?-}@b8Th!gB}OEbfbfv0
z%+azICkz28KLGA9oBW~(YR@@bPk=3U1(cjqhb;oY=k2e@2Y~qy17>4TKG9fTF9Lu)
z?&F<t{~qYXZg@VWCAI14>(gMw7gMe7CsS}56Z~86ic3BjWE2&Weknd3S(v@fw~J5_
zDxRJ4=kp2<;St#Jg*{ufz|2beD8!o|>N_)GEfW7O3}bQS<NSA&Lb=f@rtoU%0eZf_
zNi;uRvxe3B1a;~+5b0K4WmVr&wW(UF=8dR|Itck?B?h)Z7(6N`y=Ctg_0`yDwrP1$
zWJ%)=B9bqDiN!2^{m#l%@<k+@b0@FR`)c8@nz+OnTVn-TKh@4nqtU$AvwK_e>5O>!
zNz9MAisy~KL2@)Uf5=<Y7jN=yE?|MZ7Y>u(Von=%omXu@D<_<AxbRw7h$1@xgTB6|
zYL4d}s;JaI)d65)Xd8l5JX^<JH+gr49bkQV5MVDLIq6&1+C~%_{T=UObi>@r>ylf9
z`N}aWZPSljhottc6Di9~ZV`C_b0iFg#Lq)v-^RIjZ-c%4cW%_BI7RPk?OH#o0JxK5
z(6R5TBeJb}8%Zy8;^)_nqS?+isOr}jeu+ZF#@Vv{Sn#GAjoMNx@^+q3<Ic?YeIk6q
z>fgkDBE@$*i}4!7^yu6hslq6twk5G`nK_H`7D`KHg>*gMbY|^SHQ6y=L1TSd#K;|y
z6RP;pvQF65i}6Nw+*I-2>^~<Hu9MS$bG8bVfk)dFt_c-%5P(N?)acUZO^R~)=`k3r
zJ}C3=695G==1%;gso&Ni9}4SC<7Ix|7)u}s)D=!N4!vISWOS(0Y+XZ5hh_`yaumEg
zt~Y&0VbR*2Dbcjk0DS|mYJS&9dMxcNw5aE}MW*SdPJxbtco5o1FN^I3B6YpmiyBP9
z#Whp-LR<##p?h!$5ZYi_y+w{~Dma*fB@bfXe4}sa`u1v3{H;GZhbnK^s^F`HX@5Vv
zy41BFnab_3eySn)LI{jfYX6oE$6MWtOf1%IAX$R{s|Y?{JG@C-$U6Sb@Z=Ez9c>75
zhoF)d2a{etCilVT!sS$Vg*4Gi-__Eaw1bi_{DL0stl(V8o!I27C91yes%X%e+RYYa
zCqJr^b#9{lKC5~78IWPykz(P~FyNq>Ns$UJQ<m!*`0SDH&rpGzI_n!<9zc5Bl7CA&
zr{+Um!6FGYm)=SkafNQo(9@uOof7eL%wq!a{sI>`aS$d4axMl)O%@caJ-y`m1v<Gw
z*Ts*5f9Zg~o1f`$ElB15eGgxy;<YpI=_eO>`Np)Q<f$jgbkpITt!oz4eD!BBDBoG{
znwn0$JyCK5Z6LUf^gfRq>pw7jhcFhoF&6I_O_+sh6s#EMU(1v=BQ_!wABri-Lb>Nz
zckhvGma1NG;}a}#n0;2J8Osm+La=tHcH3iqd+y|}o}ocV-6Jm<K9zYwCR8Boj@O&V
z`(tCrCQ63fp31HHxWFi8B{ezCz>KPZISf+hd5t77kon-a5Qu6(gUN|u5S&x%O46?`
zT;!QR7@VGyv$kW$j&g^mF2W7jp93y+5bfT}u&?w6)Moiu5=+XICnB@d_q-CGclbV*
zro1kwt)Hs33>-^EBsd}+&FF#{f_}rR;9+c^G%?9UZq0IhY%4-73(qOU;+7C^9E!2?
zo7?&JIvy=IrLbfx-Of?t8+$hgZ3N|pJ;sruQKC?D!;H-b7`E(JvXr!hnq5=xjgYfD
z(MtIAvnUHAn|%UNL{%2~^g;tvJaW^+mZgWAJd_aq5gcA{NT!T?P|_8CA=vlPr;5GV
zvTg9*9WFxRQ9a+#s~@6`R~L?)r<s*ns3iKRr6Fi1zpDHw42nr;;{@M=5>61x`2;FX
z^JQZ|w;~bSo8yin|Dy?cN^&qb{OOAUp-*}2EAVkVRgC)rpMpTw^(Z(QO+Z<fy4dyl
zLW6zR?eY-?K;ZX58fO0m{?^hloE;qPj}DCS;VarR5)u-ithrUR&FvO0!Zrl?W|r>U
zOAE<#FehxSm82Ub)3#Vgna^wzmllISYc)A}*8%bYq(D+vu=pe?8Fd!9F_OGPvYE+1
zQLPbvy~RQ(yrkgy{YU>?A6tpv)6<w5O>SMM8t#h|<Z}&Bp=0;@(r+~h`=LLa)+!>C
zqvy%lvrlg(!n;k}CuD)H_gUD}NlR<$?)p?6OyeM#arh^OGhj6snL#bntDo5V1Eu%_
z;G(hOJar*GMbQ~Sd4?`9d4n}7;7t`Or>TLeqriu)z%d{!%2Rmvin#sy-o0`tAq9{c
zh!|}>$~F?y^Gj1Puj$59CJ88HDYA9&yI(r?5KF2$4&J%3#nmu%+38#E8C&8$BtI`C
z8hMbg;F*dvOm7c0&})&r)H$368=3xcq2iGT+*hd%0{DR(0$2HSc<A;o4R7L<@j}%`
z8@8}y{j-xZPhr2rjNKWpA4n8B_|9{k;V-j9w}ukv8XJ~p2#^c;41Fp|PF)*diSYIg
zF=Nrev6`XG^cgC1JDVvR77H{^&vbn){3dH=5!$P*w#J>7_K0hOAVOPj-c026CpDRp
z12vFZu^z9NR`2@b21D*5WV!>xHtkEgB$tj*S??CI-w&V~f`s{76f=;4p#)?nK)IDh
z0m<|Sfaf+^_+1rvzXt|-pQjpx@8a%pr(i0G6Z`{E6=A4&peaEs2XhwhNhxrs%cXQ~
zNtJ!W(5NGZ3)j*7hZ7-vuS;(AMS~l{JUfwEYP3|AUcG;7MqJ{lk}c)kmol8}w_8vG
zu^w<*J2|rWj(zUMe7>GGY=2{CRH<e{bMWH)GqoUbjMDX=ie9Xk&utNQdbNLx=SCZj
z1Z~&_htm63mUCU|i0ETqZb>^6$I<_Kzk{3<OOmqBno_R#!Whn@@pkRABqujxS#yn$
z5jGyd0FA5uMe4A?TZwh*Hwk3C8CP4(y0fq-0G-@A6?Ke&?vZzBLvo~{xt8OeaR?ty
z_$itB((7H>%5|Qb)9TEWFs8-u+Hb@V3s`1t1x{F9BLTQB;10w^rR1~Gczn2*Mgiu7
z=OAcgy9YvX;7zL(h(#uNyc&x2Fa)ggfSBpj9Ry1q27ZQMU=7CxrmFbmM*64IrFt}f
zSe5T*Z700@C?io?tOUHn_QLY#jYk!F)-Q6+B?~V@_ESlt>jl_I%#um+uohvsKICF^
za@(;>`xP&1#JN-o9<Wx;D3w$T#*Eo@s$bp9i1=;Q>20W(%Mpw8MVS1&j`=Zh|F9J$
zj@O+c#;Qut54$WOY-^dpckZ$y?EqcAGh=w+vyh&daHoW&){EZtb<vU#xoU^k$s7$M
zOfvAeB@G{wkkuQdU&~P0k|Mu}H=R1vPP+RW>kc=E3#wMnY`HPXY<5>uo#acZW+LCP
zvBD6#@ma13uY}*jVMIsBG!vX;=bw;HL<>6p@*MnnVWhcIxwgAOKULxzRK&ZgRH}*e
zJ;0%aK#2wd-cZg!`#75K0yk)ZC716nfgN*Fk?|$g&Yr@{C;kC2+*s4b_h!{m>A4Vn
zQr(V$vW)Vl%uj7$sAy=|NnX>J$Lz+-{Z5P+V-%2*E1Srb<+#WF(<o6S8qTDVyax#P
zuX1GJ^7dbsqbDS3HAxrN?KEi6YbMZVh9Am}#Lu&bj!o#c`rW|nF4f77(W3Ruo6!4;
z%^eK7LgAGW5o1F9H9sZQW2R@8%q3Y#2>!x4JC6%)=vx67yrB|oqc&<TM>l;%%~x*?
z*s>DUgNop7u-boUPvCmuzh22<IUQ<4GF3OIQtNzG?~tcD!fRIc=Vf5ICUFY@vwOO`
ztEBT3zLryq{!s<QRj^7hZgkK?`7JMgGf`_fVl|%4?kNbuXZrg3;6r*`x$JB@8~N<q
z`4Sv^PwhW*l@~&||JipPlxZO0p)6|j@|IEsd61VReAsFEV;OKB7m!U!s~IL6RFrnV
z-`i53B-_Kc1-E@APigmI&Q-ejq#Ql&8pE_cQQ`B&+KTAX(s9GezPz(V>2SZW!xyW@
z$;DaF=jE*aHW7TEx9~g<eOU`t5tY1AHFUAmio$eH@|BOe=y<E{$%nHO+dvn&Of`L)
z?eeMd$o<9&M2QGBd1>ggz_zR&*?ru*e;2KfDDCgnrsLmK@i`oNN=cDbXV=Zv9=%&V
zkhJd!R@11!7DTGKz<8UNQ%ZKYqrF{J`FX|dJ@#<EfPNR_26d#0TtcAgkQ;4DnV>V;
z&uCV(#+F_+=SFt)061qYcO`ioHA=IGqyrly1xk9-L^b<AN>g=?=xGQYciBq!Bf^EF
zfw*%lCi3AUiW;l>Hs@mOf|Q?Jz;M(N`R~f|B6v1LMY8<ayXdBg3ZMJ`i><ees;X<-
zhG|4Pr5gzeQMyaILmEVKlS+3<DBXy3mvncxz^0^2K)So%$>sfgzdnEA7&07e)|&G?
zk6bn6R?hYyUk+V%$+@Le8H-bO^Idd8+x5_)oZhnhu+%`w89*$8f31%ps6wKE)VaNU
z@DAd2W6kBCtzn)&Gy>HqBgh&GYnU1lByuP|eAkU|>aoI@V^|#^A1Xq11R9&nLe+47
zVk_61c7V*`2d!TOK*Wi(K{kzvdX6&hHjP*7lP0-ntW?-)u-zu3w=a!=!i;Y+*JfaU
z<ws(Id=0Yj+?AsDL{70y_@gvBYxYjNJlw}G1E~L9?=)^Jf>Ck^p5c4MLnuhE)6})|
zKXG)TTXKXfeP>{5BrMo2sZ)s33L7+iWpTkNA5=umt^a=hx%M%}Nays)oYR&Emfc(H
zcw*zpaRf2jVCXcmb7QPch)uwyxJm}6Xi9<wA4avPWz(2};|<TmHZp$=S)JJa<Ya8*
zrW|n$w4SA1^4lwX>3mxgy%*#%^YsLk)<(7a;)euU)p%Yh_s~P4rge`GBR=y8GAbW1
z{uBQIq7+LExL<)=6Fl&jfmjbfy5bEkpm(WRsGyqdGmr<hosG*qbs7WZv8*t;)1(T3
zlMX;cyRi2iruWeo)x;<54B#)UpA3zMEtf2H3zZX!67o3@{~p4zx@XP%i&+H@mbR<?
zxWqaWTEhZgpV`bLK)*Z0l-6$SBrv_Rl2}-<u@_p|j>Uuf+xFPER2QtRqCZPvL4x%|
z<YVXu9BXRqK9$eyRA!FKG(ti+xacEW8QvkX@*;k|LBBr4T*ol{^^<&OittT>+)s&a
zUrAE5g9=s@Rz;k$l_W}f4%t$fc&q&|a^7Weu|@NcPhaEGnKR`abGW6hNHLXfb5i@Z
zqSi6dh(AK1R^A0UDUkque>$H1`qS$_0gk(Sv)&-YWjO?ik<52RIDb53#&Vk~E-=q_
zB|DFRPp5jnmve2IOK~ft{O2}LMn8KY{UXo%H!WjSZkIgL^(p23+*GPZ!)GxgRQYcc
zcb@IM<u_By{&s)HG?%s7%ng4Qo}mDL65wpzCJ?|SpHH8|`f)Qw7ZfEu*+$Vx#)Yd|
zmD7d1z_r%qes1~S)OmKWIL~`om40u%F&O`ZoC77-)7(~LHGQ!?u?f1Q7n|Kq0fwr(
zS9?u~b>-_TPlJje#6yoM@F7<AQjp^$%JQPtQ2<J2V1`bVB=$Xs*s*RusUKe1g+e2z
z3Y`ez*0!w?v(B0u@h33#HrUmqLjW5d)Et$0o!4e$1e6SYkXjr<Hn}Yj%-&$!8(fbQ
zfUmV%V5fl-Tp)Py6>sDSfgFoG1eX=pvMIC7!)7tc`MJ)bNLd}jKpOQAtgDpHJ22=F
zFl&|DEw?r}Yy#tOYVrG$o!KgLC#Q1|lL^^e0MVsSJ^>K!41Pn4;2!|d)fq2S@Zg}V
z%!<Pd$m{}7+S57ygl#^}+zQ-_XW*}Vn+AZU0;#<|M;*w8%T8zkd`Gabu!z!|;*joe
z3^8bl`8SQG3d|~Qtnk4X>0?KBF~=fonv*R*^I79qa1KUah17|T?s3GCeB5)CTPv2L
zzjeX*?$+Vp?Xarr+IhR+p}IP8H?W_aMXeE6H~$48+4{QV;#4Z{=WfAy0OmW*XKmRV
zdE8C5{*OC}v)kaoqr!tg$68p3GSrO4fBTW-ew0k1Tt!6UmqB1F=lbxDEI!?F(x9AS
zkOgzA+HL-n&BxcNwT>_rgGQM=E9KGooeYZJ!MP-bd(x>z)$yl8qn?X$I5wQapT;L6
z&XB**Z}xhVQJiQhm$?IekDz?=_I$Sv$R0qBbDGm{ZD5K`2Jx>o(+0P@hL7%`N9QTu
zc&5VmDQIADa1f}Gfh^e?Xy2lxh!RPF@*1=-1k*$c*bl_ejWnzQHVb_3Jm{`^YHkG9
z?I%e)FumVQ<_l@~lhk29^Au@^MQzZ4Ga({LwMQC1=$^kPJf^}je#GlC7sI{NdCsI~
z9*j-Exf`?OeNk+ai@~2W;Zr@cS>cAb@9ahXnD6jG3QIYL(r)(c4tr1o6H8?A&$^T^
zDSIo8q4MX*#F%Wieh2QT%SB(`ClQsR1l_^9Yw?{WY>d*NeqN4sp}Oc{NtV;j*@94A
z@Ywx5qL%|jI=C+Ped6ChG45vn@rUKmeTG^iDW>aD)X~z|!v(li4y(wav<l+}2>Y{c
zXO)*SMyS)-=p5waqy9|F%1L~ruavY3SRq1sya5(V;kM4}cjGL2-3jlD^getk6$`we
zeI>fA8kd-82;zT68lIM((xM{b*B^WxY@r#VyVGSZBli!NZOg4*x9?u)$K4(uEH=69
z&uJJK*ix9TJVAfEySqLovFT5Bnc#>uEHh{^11u{LhXc{zA+Uye-(Kuv^3vii@CHDU
z5lo1+Q8O=@KbsVfDQCT_(b(Qqz_lkjd~U-8v~6v^wc%XE14#%}3H<Ffv(a|*7}ogi
z%)|`Lo5ZMd+u|@yI8L2K331HZVfXMdos^Q2E-?)G%*^iZ6gXv717cKV`S<i5f1#}X
zC@E8f-`kI}D?)^U#yNq`>iFxh-g+&E6xNcPkP{~8_Y8gWSL3sE_ZHr;Xn}O7nad3h
z`3|-~7&;A<Qae+{sSZ!#K=4JrLh=Q`M-;%Zb^NF2gf?1gHIXA=iT4tmOk^H=6%B7;
zUTKz+3VB}r9Zptj+a>G|z^9_5q#UxSHe@#x2sEs;A1q7eXK9u&l_<WKTQQw5Iv`Ra
z#MJ)4Mwh25Q~HNuPWh|dFU^JMBOgy^EM#ZeH}i(mYz##|^uu1`j{Y%u7pQMA*80MS
z@q99vqc&|0d$ap>M%HnCVLx0{t!uKupO4B`vYWk?*EN1*SwsC}rM22pI~pj|nQuc3
z?H>9RR?2GfR@r`jQ0k(!s@Y!&|E%Ur<>;oS&SB8Eve4Bz!kFB{mU~~kBI(_p)rS`d
zVGv^eDiPur!iW+qJba(vtC?{(kax@<5r_{BmOC9~yjuNB<#9ZXyFLY_UoKzMM*qtA
zQx&O&l#fU-A&~C~gsngM9_|6g>kY({x0i>8Rc6CrDg2Xa39JubTQrOmyqNL2y%<j6
zJq7Rhs26Znl|8v9z;by7o;ADR<wP96_NQmXs@ALCczWq2g@MLf{>#2!MMFoc{je?e
zKJ7BzF8kOQ1D~H65ZX5dB_=e7gijO`7g;fvxwWlgx>-Mn-$wBex&?dT+e<twr8-Qc
z`|v;Hh6V|zy1#sQ=!;h(Y11=Ua}sl`vC6BHy1cSFi0qHXrPz}>4jM4Dbd5~teD;gt
zjmeFcXQ+Mz>ALs{|8)L|O}*?)=3V{^IPdcR(*lUg>AE)FL0db59}N$diI0ge^84PS
z^S7-=-Bmm+--uswA@({P-l_ggN&faO`=t!-vvnBwa<xQ$eMTY7EfW=)_d_Skwgf7d
zoI9{%RO@XwM$pc#mq|!YKc~X1-4z?cTv^?RQuUty7@_3VvD9g8HvZPtB7q@%^gN7!
zcU<6B?Ls{45~CqR>*pTCb<~{1R+~gw?=2=`Vs=Zo9m#CxFRqnEDZx?>MWdfqS~$iG
z<DBk!%z0!YzXgY@**GLUL$`gCn%w*~F67Bih==Zb_lJsS{BFv1B8DF2F<v)bS)5kW
zj&8BL|6It4?p^1t)f<FXgnrkr6ljAPj4$UlKEKM{OL-4GAA&{2#ZRS)pr|XOwe<m*
z;m&D~0QO&6TDk;U;GdGD-)m?9X~9mcl28MXUO(CAD=RBOd<NuVFKBw=X#xZ6pgUNT
zpE7uWEW_|u69iW5nU{!29=pfAF6EKy;U7-S-VKE1yo{glK`=kh-w=>pAHDH=E-X?#
zulDg!j0KhJ%<Stp??Bx#S7jNs8!=3Flls=NwGAyS29Gioy$*H>$;*%5Q`YfZ2f4n|
z)`tko8c~J7-AJ&RDvlek7F8-FxohVoW@lg`2KU=JP0Ij}eJNU60`$UUVvR6QE4h81
zESUgWp<c~N=AMq`C}06idi8?!su4SYn*TlKYhK41gH&8*JoH%O7~=jTxoWP;uoQF_
zJvQT$WBGKG7y@<LXATletr2qh4NM~IA48XV#WO3^IXqN^rTQutOp_twu+|Jb3Gc(Q
z&(}Y9GP|x|>L6fxiijk`auLi>@7=WdKg#Br{-wm<mi+sekxT`hYwD@Xcd@Nsus`OS
zo4<a0Bc72FmH1(Z&QRy52h@c{C~MS;cY3_wp0Y^xKSDTcVNQu1ishx}RIPhf&4T;I
zTU8P5<WJ2b)9QKP_TZ8|XJth0s$XPB>^%fca!-wgqJqPHB3*XYr0efKVG9Q(FG_q&
zJIV|8RqnpYwDSD?d*#=NAh8cqHyaDHX9uE2hjr+#p|JG!rN9wkdQ6MOn@GP^;=>__
zuO?(S*tB||RtkO^E$8*j?~myc#@3)O4;t88BW;VaVpbU9#x2dW<c#)k;bsVCBRGiL
zO%%6>o#zXL-o{=L^vPZxE<RKCr}yPGD<s?5IOI5^Lf5XVTA;(4Y+*ROPp~?#6qt?=
z%51&fFqM129dIhv`_iS&nwG!30G&sik{Kh!p;>v3tC!gFX=E`~*e$-54)!`n62qd1
zZlNFqy+VLsFUHXH+p&(c;S!$v-m5=ODDp;bHn4P(NB<o~<M7Km8Qua)<~r*bY(W#P
z-Q~L95%WKOqXO-s^h8o<ZH{5F`QCq}t0&Jl?IffZ3ui*w^}7yfyCMq2(U4wRyA^86
z4l*bUlly9asdk&KNRtbp4WFqQ5?{f{C3hu_FdO1Al1%`gsNBbxXr;(-_MMn!1%WkG
z>Ur_~n4`B}Q2NTfW@I!@bgu?Bk~T2yGop8@2|YwVx2xkse||+6a;8Y4ErTO6pGiwn
zm%HfrrWtn#P7u>{?fZ+1*Gs=njv%C1H98+xJDDV2kdnQhCH;h7MDa6ur@J#SHs3(9
z)Z_91A0I!M)Lt6Uqxtel_9MKT&~%w_zKqgRThR6n5;~b*y&?gnUo3T49sckr{|;yf
z_7$z}r)#(%4^sXIkWZ9`o~<c^V>}x&V%aFFbmD6vJfl6F77YD`h_XkrrLe94V__9`
z+&qgh-0}OGz2jrzYaiWgSL>7|yn9$`E64k{)4y0_bu_GP#iitSdKta&uSrD-3uwLy
zp}MPCa5ew7SKQ`;YH2s}BCR)P@Ox+9EAGu1JN|sRR2>+>E~CrCV!r`l;g2Aty>PW)
zffA_FLTc}ea^*r=TnF>~m%2DarnQm?BaJd5<AaC9tC<;CN?-b!DkKw<>T;|rsGJhH
zr~S}@R&eMA)>55cVr<+w4s*<jzz<uLCky*cGa&i-tOmX)Dk=h;x+_RseyVCPH8s64
zk86)4dixhFDNUgK^ywPwC9xv~H`;bBi`6p(Axg@La)%YVa+}<NBfjU8-+nTY$hf{l
zN3V$tU*|%m9aqI3dTIT8^|4zm6YHWhqO&cq<cd^~Ej6L8$~B|6W)daYrYh<$&YpY6
zl&L8KPpM7xr$)@*rLHK~%zM8mmDKX~wDf&MYpGDX+9h>pYHP&Ww<z<uP3y3h2VtI@
zs46=!g-?GSvla}<Ss^N@F*(->Re4$Nt7@+zIq~N&rp;E41{EX@9q|B9d*e;TGS^p*
z!R3Lj-*2krI%bQb0?5)nq?fz$9#I~7T<mSnRIEJ-Hw;?b^})#a6z>HlLU79qgF<Dn
z-T1XnPfejy2;F@*j%WauatttH1DhzIBD6kI!TVu8>*oL|YSq1%dxdW}CRx=GIA0Ju
z(~YjViTTXLYwi`P*Lywou3#}@MFpyULPjBu$CodRF~o6wk9f%z{q7YeMO4OHZkfXU
zKcesJ#9qJdN6N**saM+@f*f0F3;$xpMgI_WH5y9z4*9&|7(=N=FL%@Am~9-XpF8_~
zes;&N+``T+w;|PMNZBJow3RvOta+4Q*7tQRoJF0;!dQf>H{s&56Srr-r=1;-S-ZiM
z<mS9EPk8>xk#I{!Dt9H5k80ySw)yWJJ#&jFIz$Ay97mNVTj4NNYGo6stiA89Z02ig
z?3N#Z6RG6qPsb63@2^)2vLlFraVDZ2812sidrk`E+~9J11f&E88Q&SGn%8Y~gn+k>
zUMbCUkTE}JzV;{8e|xUD`-+o#iAg43xn8TU(^iu)Ri*mx)`HS+e;OWSX+FyPC3jj0
z8DYKIr@N<eQlR~ecw1aH-$J&g{h|6r9Cqjt!)JV*9;rw9+P;feli}dPscF*!#W3E|
zz_`>I%HFRz85Es1fs3{B8yURoT%YinzrDdiu}=BD22&Q5Lb0DoZcWUy!b@h2=rJqC
z$L+-Ax3FO~ZAg=;e8K!NM}6xVvkx6!>e+6y=362Qq^n?hn2UPZSA7z4m2zolaLmJ!
zF!(xk6M1_%n1g??E~)54BU}^ju$u55bC`6*Mf-Y(f{Wv4Oh{Iu$`93JoLNegl7Tx0
zR>xVf^2W3%MK|Yp3;2dtFa)f(iW_xXZu}0SV(E8xb=+I&bfT9Bi<lr-=H%ogP0#}r
zQ<U)H2m!(itltN~Ee?cNk0*(30^o_fxw&E0Z(Jumd|~KW;b04*4xY5}p!c@4^=1b!
zJs1>1o&f9tE?wz5w<Ix2uwExg#*khSLYAWG7GSJ{_O|}?>#LZdM560^GFbJj3&Ix}
z<4Ma=Q((FAdI;p$##MA}mwkk5b~G-EPT)dVRG$0QQI)v9Xe3V5wP1Xi=_8y&POH=x
zL)I;qE68AnECMl^Z23)JC%#29_57>_T1cDDs3oCex~>|`l|F{I8vvc?Fz6VMk&4dx
ztb-7-6YJMLp}P6t5F6piKct^7plYs&JfLROBUyQ5nVQ*zx{Wg(PX<w>s4o>rC|&1r
z`#tT%jBHT(`8&!{iKnMy#BOVNTy@3;GrH2E&^5gKGlftnIL1cZR*nY%u_qNq2*8;T
z@VS6t+yPVr0ee(wS=r(5l6g=;)#|W0qFrScA0OWW4m!XVUI9Z`qx1ew%I;Wp-`i1v
zi8{Mw$K*uDfH(HAu*l3Gt%bIzoZE9+7{jc^37+rw@?^3KsjGKeWWFS+Zmn2A^P7i8
zNm~b*=q=lyZd);pOMeSL=D0<&$*=RmX{8uG)MtR?V5IyA9$?u;rq$QT*Tm-JBmo;#
z(6<!qm{<IZ+A(JJYTN7&gK<H^W<N?o@OGK5Do^$=xeeNfTpC@dY=?VIyS6F<353R0
zA`<u?icgyM+otg_I#3uj`;Y{K7X4V$stNNG4qKDY+kW}M^|hlE&-_kDQs|CquNGx#
zc+0MQ>QMC3(%&MP7~L~UxXUrarX7oE3tPR0=kIL#X;&)i+pe+jt0P7?`Bo%mjm*B-
zn2vQHRbhwD_<Iel^d5dV<EEAI7Ye>c?`{IxVj=~#dw;60?7s;pV(T@3h~myx9saDy
z6B7Ko_5LOQK$ItM9m>y6Uc`mDGC|S1ah~_%b8w(yG4Qz!R}6(}@7L*#74;v_6q{T3
z8S={r_S^$GLyF8mm2IZrSE`sy1T7ircd()1KxX*pkbbKNdc!XE=j%Rn`0FvZIF#x)
zIX{`GK(Ag9CWVmsND3$`zIzJu1)MJ%$OHrc+rfO@AxKO1+}72V{cp_7GXio1>3Xt1
zaz;bz{lyk<(xItKl7dHR{SS*O$c$4dq1dHASJ|dh*4GQuc_mZC#NsGnX=9vnmXJoH
z)&e?E)6zU;A7J@Tj2dH#G$~Kjhja`T{cEAW=YtLPCABALiDBklh_b?5t*Z?USY<c@
z1p77$vaNsPUT9Uyy&ETZ$w)&#jXalrBXGu)v8BGgaG<46H^Mnl!7-p%CzXbk9cZ?{
zny60VFX_HJ9)`mn!ZU6xNOzF4|K<HyHU-?432{XriX7d|zGi$2j%uoBNyXuhZDc0c
z49tp&zj7;nWo2bg7_jj5dTdBY2!M>p_?_1Uj+8SgguOk1I}&ilz`pOf5w8j2{obpq
z1D<8$*V}<Go+vDU4T<Eff|gyPNrh$hG?Zf2Twigwuc>rtfjXkORI4|NxRUlecpLqc
zg5d$`OelLSifEbkH#TA74A#*{>R4SDt88gX4UHH|xy$3P(VGN69nLH&`d}FwKyfWq
zV5Y;6I8!dv8D;HK=|Di1fd1r+tPIZ_42}O8Y^NwwdLYJDd_$|2>*pc$@vw_eVSE@|
zcdux+{D>PQ-6Xei5J%m^IkejiK3NREYbtLRkif**{ygPmS)hk8725MX4DAopnSt?R
zFawN^Y3h5P>B%_vFo-~N8@8xnpxNARH_>z$aa%rPY#!~0FZ5rU&)gVV5}};?x#WH&
zy^)5shaSGDJ*GteX1?0z_kIDiJA*ida&!~{8D0gP!I<{lSbd82os(>u#86ox2yAE&
z+C)!AO(I;q52)?l_laGytM+5kT-CC~K0;0tvS_e|=Sv#&Re?)?uJc*`W||+mvzyBp
zO*t$`398`L)6t>^_tibgh1+3bxpQ}4D)&d1QBcH-<Uc>M$h78aKDL*iQyU1n@2(LY
z<cwV`LCv|=-7P>ClIg(a&}Bk|vP8A~a4Uii@lPS7i7izc$S4X_CXYJ7hxm!Cz{9->
zr=@mg2THxk{XCx}<-99jiLjZqKTfInLd_rxAP8Mz&=CGjB?t13PBiqPSbDT-<YPQ5
z@jSaUztnBVxawNn7=z54L;Yh4%ryLxdnuirV>TJSK8%2G*l8kOYtA!Ote*Qn7&~(U
z`%F-s2wtTIIdV!C#p&ZOxP{K(b9PEM85s){60*O5Y&0u#+wTbGZ3dzlB9G=+hVsex
zzS~ZLt<6aid_hVR&av==@7HJiYcAMtHC}rsOyvu+297&^)8U{0(1Ac4nGe=8a>Xn;
zQi*sd-&qo>(A*%hrva&6zTO$zV(r3rH)9C~+>|T`a1>ZkkZKl8Pn<)Su&e`{XC+#X
z3#9_q{Qm2;FtEYV8V=~)M}2cFaSR67CtN%CieIb!KUSjf=~(zS28D6<<h@6tHJ%O?
zWevuv9pN}zbnqQ;gQZPMj+UlFqOa6zpubz@lv$E3WMe!FXw1sgBPl$A^Ip-`N~4xc
z`aEYHWzNTDvHj);m0gp64PG<CFVg5UgG43%<Zst1N<yp(@kiE=&7PO57uzVHa^1E=
zjUp{*c%n4cj}WHDcB@OR4Bk*v^Rf$oxlc3#U_f6nF+JViKw#LxI}O0$#zwxi0su0w
z>eZM3{Ampund%nANHLMg;r<&q8T{A`URQZ$8#hsYY4XK6+}=nIBQOAu>mG=bn)%{h
zSr*_?zt?rZXI+%TgX;~sG};j_un8Za&3Hv96leJ<ZIl{m3uXViCs<G9*PG4MoJE|_
zXn!fd98chns7jy^glGM=z{7+nT>P;?G7%7<RQrvc9%<n=_sG#m!mJ*_M`rftN0MQn
zWRZxMWq*bljVA+&fC3*(Phj+jExt{rqv02nY~c--Y^5z45o2p{q?(t|ps{9>=Uyk1
zD0cv^PH}khwu9b;r?|~U5LN$V^3%ujqX5PNz*D(^iN|Gc<~W>ti3bn}6E+%LPf)f<
z-dL@`5$voelMYNw0nEFa#W=0b_EV&7+a~;MCfPlbx_djDq2C!^d(N^YxYY>vScQ(^
z6c)$4Zjk*b$KluP_uaV@<hH-YUu(_sidaQ&;>fAwAU5PE_wj#_qn~4`ULz||`koeL
zuP^V}C<HZ|h{A0r2(NpUvYXyu7E^RqhvVqIO)y^V#v)HCO2m1etDk7FdBp8ve`|ju
zkVYRJoKq~;2CS)UUfXiIb+-FUEgrFD_6S0n4_<$|zX8K3#WKK@4exg}pDgPmsr*lH
z{l8tJ{tfrPT>|uBdhqPL&Oe$Q$vj%N+!9}>Q_Y99i4%jSigLkM8HW)x-sjp<4~m_?
zwRxB38AXFibtW?>B9%H~T$j3E&3=Nl%?IyjWz2v#hsS`!*GRj{mqe?>&yo`ZF`bx`
zhHaRPmW>k5{e5Cky^z{g=&!1lg1oHyC?F<4dde~+Zb9DkH%Xm2b$pJ{48!ZEG3Qhc
za@x)_ILF^BAr@TtcyZ_x8p{Hq>oPN-9@f=TJu*X@{OXA$0&xw14Vp6aYfnr}WYex(
z2W*e`-z0NefS`fAou`a`P+8CdItmh4^}(PvJrGNuZa*lR8BX!vZ#Ehc(-RFYUAtOk
zBps2-RD4sMuOhQzf~U&2TGhe0o7pvpXo$ewR$h1PB0BIJLH2jJVZXlL+WDD{W(bYv
z*>R(A9v@vt3Uz1$N77v?{uI<$x~!KgRX!h!n40akc_m0M;|~-6x||-hhI!^2J-Z10
zo@mu}(ssM_NAIkL<uk2C9hntKWBrAl8azdOZ~4@fv9EjE@uz*n1zYh>1{h0i24{>r
zFj4|S)j7G{1%w9!91u(-PcScgA88eUe}VWa)$?QkJi_(BXO+mR&j->ON_6X-x1dx#
zL8iF>E*rY{nfXy6t^L8l8J|1tH`2yuVRI4GqjO!xPGM)?HA778nMO&(Yv&T;kWJQU
z3)I(xiRs8IqTemXe(hDO*;l8$rSQaO8g{IfmT|UTcH*^|{>6mwfj8?FVR#W@j*A@q
zu%xUcyv)snfzJLn$x-omiL<a!0ZeIQoeh+|p<KEPgJ#h*ESUqmE|E&*6se-wA-?q+
z-EyABBe-f$!MvO>`LVat71M(8s`+anwSBd)v%G8^s*6Env0$IE8rz);(?QF9nM)8I
zUq-Kw+EtpeNth({zS&ArSvg(c9P0+u_q2eFHOXgQV5b4r>g|+yU{ll3m;&{tw;&<*
zY-?-{P*gi}HN_640A?K(IF$!vjGDF9|K4#?Fr66%piFsHbCgQtE#$+(KJd8GZeWsY
z2!s%lyZ%gaR&De-c`b-gq*7}<A-Vqgci_PU@jko2sEssS6-QNXgjE$CA?dE94tqfD
zvf`&I<FP`c(9Se3KEip<wdcPxtVuVc*{?6wvcYucj_^>i#kIvU?{{+s3(M}gCll59
zbrJD}p7Q(mT%bx~6xi)3JdZkno8@AS;&CPkVTsq}x3;<0CjWB7R#xcmQhg6Vkb*6_
z#8?Vv)!z5tqWkn#YKxG>6SFeSDeDPhHBc#fW&3<cq(^(bQrJx;#dvP(7D9YuZe&4>
zMbwQt1NVTF^hOb1iMfS?!Eyj4z$Z~l&sVZx{!Y0wLcZf?roQ=Z@q{Y_zZ=4`Dhmv+
z=qLL*vF)?p8Ia91%TMeG>(;?;5Jd|bC%8875<W$Sboe8VG=S$b0%SY`>rN@intVbw
z;x!Glb#--BRM>%o;A!7!9rXLZ2?9X~X*;*bwX*X)SQjTJKB_4_q8^FjkaZt9!pUMb
zJ)>J}9XgqGF9|*Kp7*Tbuzs(^H}J!ey-0f6bSIESfF<(eU4ldun_96l4n*sP6Y53k
zTr*k5z^HmOE0Vzc3g&z~OLCDyV>SDkfOBiuaMHcknhqJXLdR?JSxomVIgwb|Fv4~a
z6uJ7@zZb<BqdAq9v8_iAbvFMYim}jF{%xM7b*aWMS<L$^W3;UW#cfz$D)EC-M=MiH
zR+vNB;fUD62KF>LE2=j{{3sT0-bUR}W<pMhPh>zac8Nay#?40oy;No<P|T56J$sdF
z{pEdGdD$yJ@pV;^A%ra*!unF<KXB1&eTsYe&x!e7eNXuGC7(42`ehHf2-q*A9lRJV
zHn+T^Y%<W4^Wm@Zf6|YsW!UA?(&tn~Uc{6XWNo~r9p53XP8f0jfnDN;Jv^RxpHbMV
zM*=|=q<}4@W+WARmt!QiOo^Wy)ee^brntDiu6P1BGCZ2o(PJuooNY@aWn6N7mCuHb
zOxx?8KlJSqZ6XEq_#f}%!HOlaqKp0SlbOZL6oxsmuA&G{L!60jNjkCZY43<7^bw)%
zWr}lG;qY0uhX@?ii@GY{mfF#2(L;#EAO`F*F)kl}l9y=B2b$r#3F*1zf5>4s!#XGL
zf=7#f_MC_qE1O-XKJ9&5?B<vi;y$tnx!f8;jhS~20gRScSe%DDKG_#s_`+Z)@)ga0
zU`|(hd$8WJY8JxAZmdMniy9*oObBD88I|R3-g8PTGAo*M+e^dO=Mm{K2s(se_HXqO
zbeHg2)b#y@Dk-et4F4FV+-%5tc4qx;pEr;AobO(JMR8!4mszvGxwkv_Cn92)QuYCr
z-l$vG-dkyrUv^ATu2oJsElkpKU*wtvU$)&b0mp?sV>C99)OB;A)@I)Q^57o4qOQQ9
zF~Xa4i2=o=tF>G91_0FL<Rs4~NJpsyDPBMp+zd`<g~@H;FS>ea*12?B=dB9*H%9My
ztiWRkkiI76q|D$|-eB=@Ur?RNEitbDbbor3yNfAJ7bzICmWf{br5e9vw6MTzjv5sw
zZq1E=rd$K3@SO<t0PeKT=ZNqnX?EiK3_3q4sF0IXUw>30(XFpHD@Ttc+&0(uhRJw^
z+;f|mGlP-OUiQg$^XKyuV(icEfcXwUIRj6<q~JaM48ghrW-^c*lJE2Q0CYVG2oDXL
zX~_a^Cr=`Ph0UjD0U_tx9_|%kmIR)<bWjloylcxqw?NL)SZ{#EwQu!G86SBRnXBqx
zwa9g5L_bR}Q;|4ywcFvB)z0C#lIlGxQY8fwHKbub2N5R-YDHqDVvGP4BU-RkA|3r2
z)IWoZ1}V4DNgPQVc{mLX!nYuj)?HP)>D`xhQg}$MSK~9Pd9_4$(c34<{>&3}5dpgR
zsnQJuJ8Vv>DGeX*fVd5B0KrfIMe<~!+9=Oj*g`P(lIt2+N&&|X7I?QgNIvf-_`b_*
ziu;1f%9Ec}Bkn*M;(#FZPfFr)xa0+f2v(5ipA)MXgU~t<sM^+q_gUJC8!*z8ra1@0
z<zMdira?-0))9Q|;`W-RT<tP#HcI%^)$kmb3^ar{971*ea|Ir0HXkcjii8C%=v`OU
zmZMITc!BGwT#V%F^tDqyqmxGVAa;z%&(<+DbX6*sBAv)O1*d-&%l#ccK7=D}mg7Fm
z(4u$g%GWACkEf4j6TgjoQJENugo7zy3ma@rplE-GgRa|ct)+T7k~(%&Hp2dS7|mXu
zj+r<v92G@LEFWSm>@>%Q(@Yi>NfZ2=djDO|)8PvuE@0u2^gj3CKT-3A`Dr^Tw}3x>
z(hPy=s7$x+0H{I$mE7jtPZj(WW@LEP`2zGi)mw~Z0sB!YkV=9yC}M8g1yJb*9)CgS
zpSfDwDYs7vN3Tlj{{Rdn<xbhK0OTLNYo0fGM*gHV$}S*x9k6z=&<&_^W$=2q7WIcO
zOsxFGmJ8{EO;U}P-E(v(m#g0nQ66`QC}}=B>5%<HQ5yEj{U+dEg;*|qvmll%^a6@G
z0k@R=Noq*W^(Nsy`@ono9+~!5xyffEScdx9ItY>2TUXd7Jt3@<*HrO<)F6L%y!v7`
z&+3ITH&0yqi(FsT8j3q7y$CN1WEDUdy!fdL9r#E=|J(vlOAQST0m?y3Q&ZEx;2`BT
z-{&U(_OR`-8&_!$Sl;#Z^??8bOwL{48*RYo0Peb{K^i<&sSYIEwxq!P=0N@=g;z-7
zIUb--x1KH~69PcV^a~&Z5ozT9PVJ8@M42%xl2{~r)tc{Sfs7VY9x+ZDgGf7@*DXS_
zPZu)D`Ap4De7;c@k|FL*-DTypz>LmUP9F-~i>!1t<nfPR5-<_%B0U)jaWx%NhhryX
zk&j57&bT&$U7P3%so4B3U$$^)h&spyWni}iPo}tZS%;(zW=Bq%u`P%V?LVl)dc!w)
z@y)=fXX?gn-bGK1?N7$|e;$rbKFO&GCw*}1FU|n=%?F*?2!ir6>rCUnG4Gd=4?xNn
zP^RyU=MI7QDb?ZWw0IH&0j2uT^4@Y=8<<B&8UO}gZMVF{tNH%@dqczYTc*C2REMiC
ze=vQny1*fLd$zrnG7ol3BJ&h>AQ^gER?ftd-u)v5YmuFct%?3m3$P??om{C+h9H-{
zq4HJ3-`1$AEI`T7o31}NvLm2sWhK|5C#WXj)s-*v8_k;^h=pB-gZwDfeHutOYTQ53
z^^t|_mED+D6A8mBV`VG<=Bqx4i+SkHOMGnm3yD^Nk-_T9ErS<Hsbdw1F}roKj!BLw
zAL6)qYw7F0qD!2Hwbod2;Fm7waq$IHsNVJX&w>x|db|chSs#T@b91xj&Dr*}o<lfV
zX7I`aSf+}Lik3iHBN)ZdK{E*Gx_SDXfP)!?rLoc=8~7L)8kVu)iEY8d!F?3NaaD-C
zU)FFR+9I}UgNUFjCS>^~`C9g52C^-C${k=nhBG?p&6vTp`y9F+eVrkTa`}NcP6&O!
z0;ypZR7J71!<EcUC>5hqL}A>~u*T!;Z>#w|5a4V{DLEc+Z=>U%O*rcO&>)P9#L|~A
z!1*@yGsI+WNIWF}tsRX%oG?gi0HVx2kbCp%-USdPpb}FD9H1!lDX%~O=>|!CKfis|
z$Avpg0qtf>K;C&8$mW@8KALvAIXa4cHI^*}UJW4ZoCgSYK~WJ1H;8X8pgjUQCOi8~
zyhB!}fA|RPfFD~g7o8f~j_-N_P}$MJENYo|lz53ytFc9VA=Q2sSJkr2js{D&gm!gX
zXOmd}8~amMN?J9i1sofNA&@KUE2T-oZh0^UJ@@jZ7sGgB?M3BiS_{I8nB7U&G&Gw}
z`X9_$_k@34AiGnnL^AVi!08}{Gl?aAZhHugzo^Kj&I@I7i<j_|Z``=A+K_`$>iF89
z^-&~7IwU}2IV3S#g;<h|X1fa)MewNKD%;)ej0q-fZPtze4k`Lx3ZKH55Zi)?R}gNa
zf}<OTJ|}QPaKIs~k3N}9ygO~@0=b&t={=^LU?>7vlRfcNyXEL=g(i~{qEu?y^GLc{
z+9w<`0?C{69QKE%#n0yt<%<NV0Ylc&sr#_2}>kuiTbQ1<UZ<^HZ-d*|>uIrnZ
zP<)&@KO@i^^ryrgNcY-)Cmta)qlGCwWUM0IXVYCEuNciZQ7)J|@xzP#7oD?D)~vds
z|IQ}9ckjU@m;Vga8N2#cVQyGyY^|L@$s5?lxn>Sg)j$E30hwf33M?#vqmr-x28}En
zS4tL4kvwNESY&cBN?XS0K;?NH_&PMXT-?9X*3gZ-1k2>zc<9B=4KB-_YVX1ySQU5c
zVw>GqJb3LW@_y!+t#viHNX)`l$uI49$EfE&Y$nrQbG_l$k0j-bXOPN0Bdo*xOyQRA
zICd)Ul|OxcsN_|@N80jSW<|8CmSK@L&2*i(hk64Yw)Vs3H!0^+-YQ{ou;+k#=Ww>F
zkJqIG@x>jWoE%3$BWq!4sp6w6ICSaL7gngj@~#O|2EoK7skHkz#1-)GCn7{h`wiDI
zFa7&U^bNj7&Z&Trh@8qK+$5~Rr`K<Tt8<cLQeIn;U(xdN$4tS`X!S*5PfaZ*-(t;w
z?q(k-_%JHAFgc2;_~#Jq%&<e%a96h6bzIceXXfR5d;SCQWw?z29OrE(;w=+BMIata
z33#AG53G9O^Z1>a_zbxem4J+<C+IKNT+PD1Z6f$De!&Mm_hkAx?lxT~Hw|y7rse=V
zaZfiYATQ?tCv-Y0>;opl`oAd6-7dfl26zUgq&IXYOb>0pc>a6T^D4~dgZZ7u+}jn{
z?M2Fh+JqoiFaCONE*xKzEs;|(MphR0d7kFH6poGB^z(AL?&r7nNijH2>ePrk*NJ&-
zvWm2rQ$H@!H8}M?<(}S(+8%AQxf{ntQQ~RrGj#A-$rJE7OwoNfdK|h}F<!Dq>raOJ
z<f1wCt2g*<G3zNWm7s*s=i5RET9OcfkFlmo>>(D4Ue6;=y%+K7oxS(lOLgxpzRzDO
z#m|D-8%KP6$GEoaOl^#!xVM9PlqIGIB6>b#CyHB{svXPK7bR5Ts(xrcylJC9UbSy4
z%|4>QJTveeh94chH)^_FPpJDeeJxC_`8v!2t(NK!Q_JYX<^qLjfo0NTH!nA?lC0-5
zJVgd1x7Dug#9hoWCwrwf>(09c3Tg92>ODk@Oj25nF5<@0UcHWWlQFAQJy@t%g8<wa
zoj>k{=|mFTa4&A6(({sc!O|<^_UlaoQgDck^B&<bq4Y4>IAj$(5^r{V^sXHbFwgSW
z3p^tV%vE}Hz8cd><r2oXQDcZ|Hkr9M9oal!LRPYKR1)R$+h-0~^zd{~e3W$wc^r7x
z8YlCDxcbjwDX4?nQc9*yR_DBQx7gWtBsYRZMTZrCp)!njr7;-#+y8<8G!OHpifn?)
zo-pTY-LiL6R#ui~nZbW|=K4%i_XIG3r$1h&1DCz!a_jw1?J7k9_H@K@mqUR30Nm=w
z?IB&F-U;x`18lDejO769iOOC1aaXB8<N6;CKfAm9=9$0-{tTLo9U2#P%%>fj*!7(i
zq!aP>SXXmc_L;<hrO-MSUu$I*@#e$S8K0F6mPNQUeJSoOUsC(Y3!^G+k~6JgzI9g-
ztPpE7TiA6&@8WA;;|Gn$F|p+Eh|ay(Tj69o_?Xk(i~dC}J}DfuJ-qw$K!r3;oDqd~
zawnWEt*g|WBynN)O`Duk<O7{Pkp?p}3Ua!G2qB>+ikwAJCFeQJ>bK`9vZ!&eg9EuG
zI1g+Yguzg6%HKp|`;CP-XZvWhZb>gIidAQtQ0b9aQX4LS4<R=;=|q0GuCNfXZ+vI~
zIY-m!=8E>+G<{;~7eWF{UuYfyeaZ!&i#|EE2MHTo(J%U*AXUG``T7n=!6P3Kq|8>o
z;(xw7oerG#Pl*{IcbnhkVDE(dstwrg?r$#*D@_JKet$i<<-k1#1i73pD<B}lu3;mA
z(~6j2z-8I1uCj8Rm)oc_;3?ep*LSfGkXXZ7$iKU820@65!yzge=6i3&l*66|h;x}7
zjWW@UZbV)R`YTpSHy@WU{(T&t#8hU*$%>|lY_sEbDbFbGL;sj+DXG=PQgK7<t~i4c
zJVRYHf)@9DI>%hQn>%Xcs~TpQm`#`q0)ivQTK)u%SNsSi@6^cVac@Ua`L<z(KcsTU
z=BNim5Qqq&N>uN3%#u2Gt#1_gkYos`xuh;EbUnV*4qo!7U!S*tpAqZC{nG%QWLapn
zIS*w=zi+V3`&sA1cP@Vy{%f7^H=UAr5E=7|#2c<>`2l1(K@s65nJXcPnw~;O9p5y_
zvh_<ptTc|3Zzh?E$<-Tm4&rOglUejP3S?q9<`alFd{Uvd5ow);d=!}b(iEGR(TjKg
zM(}YToy9U9lM84GJg-jxQ0on1_&}HJHmLiFXcs<%ia$Be$i2=~y!yFYkHbNtfy-op
zO2Z>?jM^M5Gyolp4*=ua?l#y)zq4mI{C^)fUVM8#+)iZ`x5?Qj&*VmWQGa)S!Mc;l
zbV!rZaaybg#$K&Q71k{65}J=@JQ<&&5wfeAK@LreO<9w1ZO%zSzd_53xI5)TnvIPk
z`R%HxNjzwDFiu+J=+a|@nPlo_U0Rf``C!4A6Jf<9ri`&mp$1$@?iA6MNj?#RuR`&b
zYhDlxOm@WIhpqI60v^OUOc*EYth#+<^+~6gtXwy7JV=k;41L&V{KnoLEtD5dw|vgM
zrfbI#DA$aca>LE`nB3a;yI}SN_eP5uwvR1Z1LEsJ-D=6PLU=!NbI+Fww1OV_45e>z
zF0*pkP1qnqVkQ{Pi?8R9ywW~mU6JnW?gHshgULV)Sm1oyg+U0%)YO!MHvrc>&c>wd
zW-B*9kA3xj`fK1;)~fjU4v^VqBPk8mvz5R|F=1Hyzai}k_e$MaGaCB-Iv_c6oMRsM
zVV?6|uIV1~4olf3c7G-ZVJYH6cY+*}p)!(bQ#WjNR9e&<k--IP0tsH>#jh4K<`<VI
zV`lS(2s5~H%h-I+;lob+2uEZDP?Lm}vW;wZ(Xb%Tp!5iL6s#f*r8W{#<u(+K)fQIz
zIf<C}5Z$lVSGwjFZyE&29X(VtCrXoSr@Kbk-7w~mZo2mwf(TFjOJmsuj(QyCCUQ`I
zblD*jjmbjXWisFFP1;*Zm8ca{<o@R9?BObdKU0uUa0Njyuc|L$Cdq@RV7v&EP~aqx
z?sg65uyrry1D+R38%xL?W466~IGS+<x$#fL^v!mDoz=80sBOtlbKe1$KDTacseY^*
zP}z5RxZDP$dZTHA>A=sB;-Ho%540P@c0ThT1hv6w@svsgw&lb5I=d}sCeU<H9w~Uw
z{{BZ4MQdYv>WH4OpWuWd&kM6H*UTMI)`iX7%&^y;VKq@~^~T|7?ytuwz8f7<G3P{V
z5gj&T9Lw@>A6?8e<|k>Y+i)JP^@6ro$N23u5XF~&d%lm{Xfu`Y(!*spOR}uw`!guE
z)$P>&orC+3eIK)0-?@h4x-cEn307*L+-1kf(wKA!`5~cOf;H@Z=ARjkmxjT$e0f&N
zKRAE;*ji!}Y_H_js*EyF&5xUy!^>RA-8Z`CeO1kiTuN{E5Xz8-#a43N34>}j|NQu+
zYn#ckX#@6JGGleu)n-fp`wmAq8(TGIct@g5+OkBug%s1iWl)q@_xK@~lM=@ADECL%
zB=rg;zgB!}--4}gX>B_p+5^OKNrn^G0P6`@4;>E{u91bWI)MLSJ>dEM)2;X9pa(K$
zMmDx5XO0rjD#GRhSVxXR4e$N{OUh7c4v;{P%dy?B$0{*_Kd)W^ehwCHc|FmF?0=vn
z{n2E|a;-A4U=FQ$t%KKouks=H0_Ph5!GDN|E-Hzvach+uMSq634ppG93cx_mP3|O|
zeMoc5#Nl#F7**%~HPRF@nLU1iO5APa^Sx1?jLbVGz^VzpMeTVJQ$BnZM1s|6&f|ym
zy232AGhTJZ7joKhnc{a>bRFf>MEqYh#g<!hu+%kG)1eVubu1DQ=&si}9L1L}=Bm}K
z@1&YG=esf1vRX`DO+tryzIOCFgmK915=oq|(m~NIQA1&iTHt1k?y3Xl@(3Vh)A(){
z);~DV+qv?;)fw-KoAgIUNR-oDkiEst+4aM;!2ZX>hRCkO29!-CQiyz+coP^9*s+&m
z8=hq*;4UkvCgTP&mh8SlAokvn>I{a@=aG~ag(*!|K_oN5TSK#}yEx84Zke(~r~J95
z^2c~lr_+>SusYc7Zwmtc%E3><mo)^07QwS|&-(t(j&YdaqE>cw_u4=E8-UqUdjrcQ
zQ`NI%%+dP}TbMuUdyF8zl(^wEyP@DzXw3_Q$9^9YnXF9<LZ7fA1U`u#&bMtAGpHZT
zgVZ`uM{Ob><!F07aLb43REG^Tz3NarX`xQ)jbAbB7cu?X>!|<zXyepJGLB>W<u*Q;
z%`86qhh-MqR1eX?lQkbb)VB^Ox>3x|t4W7yKjPwdW~O0TUQPe<`wKf>?>?Gpo1-gI
z1*JV-rxqQE*{tIjfF_JpF7~T?4^-V(M>`5!N#V{6Za%}!ZKWAyM)E;?<8hv$tMoif
ziN9nT<L$TgJ7+$4k!&i9_Yns5ce&?<qJ6A1=Gm^0rP{Py<7l$NzCGm`x2p?PEEFZ|
z*nTV&lG^P-0$!<%1U*3xNZ9&-yXUyc38D6EZ7btcetVW^i8WptOU}KB+&hB7X(_}i
zS2K@UoQ4yx%-wMn<uA{a(cszuW&pU_$E!Z!G!BUB0d4?P>Lc(}0*UYfupbwfwax)u
z*yMZy<G*1;8m`P{-?^LkoN&V0K!+*C;9cljnSM_$^xJ@1g6IW=YW4cGN{nlQNeqNW
z{p`X9b*mRGHuO0valKOeg|(@i-Tg~B6CFV|!CA(YxsIK})HJ=ZSvN;%212*v(KHgH
z!_^`C+j8{<B3}IP{)0nCN=j?qu)4O;if?whCKi9;!q1S_Ym;waYSz=@Si;z6V|jE0
zP4VuK^M}pXlWGPtN-!zDsh{LqbMtta%WRpc5k0#tVZz6)&Ym}P9&>&iyv#EX;&PIj
z*Z5Nd2ZE=X6`G>AlT!(vXO_B>sf!`9QHNH;PTp-oY|FFn_ak!0uyAr!GSdO@3{Hq^
z;1YVu32#t(O7I0_-!*9y5ZnO^B&f*r0hI&)!P3<)t-<;0H~aA5rnH=wN^EobYBp%R
zpKbQRXq3Z_M5nY6#Ui&<U8Du8q-V<5m6*|5$HFdx=1b##Fn;##o{2r!3$<BR88>X`
z{p50RZle;uOqPz|cgc$=*v%Zvg<vdMy%Lx|V*B!fhCHp2!pYG#Cvh~$_B&bF+Dwt+
zi$`YZq`4j*n=AUXnO;sjvBZ}+d}S)Q<eW2fs|W>!fvtyolo<S%BpE?=DEtIunicWd
z))Hn$TRi;4?>|&&^Y<GXL?8`VDZBALXKFA{k1B<6{uP)H6#+LPxT&5%8Bj0=VD2<E
zCBdl;!K3r@b1<}~zc%XhM??jyBsbtaK?JzNRFMXNuYQ)6Cd99TBNGz|&gXx~wUB_9
zOLVYnBWbFGOH*DGZi5Tsp4F+Y0lAS-M)|$I!Nd{rMF)*Sht{-xx@C?AHTApehC3G8
z4C?6ZpPJVV{96&TzdL#t1vN-Mi|se&91}k@X|#AH(vvQJxpF%H8#7cipoPhqL&Fpj
zig~OT)Q_GU!j(9$aFgSx&V+7jXfVYA-vd-=9<QY=y-=%W@u%B8%-=Mjw8ksy^dX^r
zK;6#llT@O<|3K2igWfNUSL!&-wIySXe3EDI-XwdJdw|M$DSQvvRj7<F`CDDm5Vj-+
z`UKg2w@&J&Cg-&hG0S%rB^NkX%*eAH8(wZy$=pXPo>lupCeuQP2Y=2EJzWOss^aJI
zy-}95-rope2kW*6I_6PX@cUHXL}I4DfoCY7{DUQBJeHhi+rm5|-q5&DfrOi|PO;1K
zdtbUo$`>Sl4ytCuCQ$U&o4T{bEL*-5I5EJ6`S`|&{BJu$BZghvs90aut=zo|rf1mr
zap6jmc^VjbyFf+-z{NvAj{>FCiXX5~)`PeOFzNo_bK221Pptvd8JIEjL1@g=TGAIu
zVVLvMl%NCtNp7T!3FvKq;*J!y%M89(^PCqn5am=Z8@#XBUljB+YEkD5MHKVlp)A>L
z6r7Ts`Q}GOK1_b$v>w`zcjM}=*yuJ2463=9b-ViWViFOE2CB#rd%+2o@-zP9#~CCq
zDOeS*kqX8$4+{DzF%}ZdBMLlKXEJ5A(Y?qUZQ`M8gTIZk$c>Za11_L3hmB@AxLpGn
zf6l9Y#^mU~`MJn@u-TtWSB}tX3x=?3bHr3b6A~Sk@-94t=7leV|85SaM&-@)&$x>8
zO-+!xKFbepIg#)TZTLpOx7j*Zl{G*|TUMp<+5&a|bf$)$aZefBH>AbbpXVi^sP1>#
zK3aQ7O;xM_s9l6$F4)t=qFa4eq_<wa#9OmxfBpXl;A0A&DZ8$K1y4^?a~c>e&C|U=
zly{jI@EQQ+4^Vf4EN=iIg~XE5l3)FUkFXtn+bmYRy1e8@^5nXdIzOEc6BqFL8%ehr
ztxQ(rfTSFp=Jo6y8if7+?c-au)^LyOxv)->`&zrSsM{}0^|DAYU#gS0PFNy%JvN#y
zNDk8>3#gRoaS1y_kNp(k7Zb%Z^l?%2)0!Q1Q|XM>@}C>}N_mMWvNlKEvJBFpNQ$g1
zYOa>`FNhE`(&LQ%u}@@X(PO!vePH;bHCs_1vL}A$OYV<3)>TS0MCQBn+uV6%vF2d2
zLAZblzVD;W=V63DS({_~C#!=*IrEW<d4geba#b(9zg-MnK)(fvZ^c&PuHE;P!Zd2t
zR41m?dyRThJhwcADmCzKk!SzVs=nuWZ-A(TeknFDA|+&_vA#;|%IX+3;Zh((RdTC<
z&R6YV4Smr_dc>>T$&4u~wY|~*Eji0bN~dC>Vku$N{|AaAy$4dSRHv}9;TN;+nRjD_
zLInzGHdKPwFDpa8NHSTti*e8YE_T?vm_W~52I?D7-!==>;vgKjn^#j;mmeJ8a%?T?
zLD0j6h6&y}=lwYlGh_>n^N|MdvU~tvOyntaxnbbIQ9L2&b7-=^=3%dY(35^sIeSy9
zHYx02{g&#oGWbWZTC2h~mak37f;)lj>$WD#?ocg~?t#-}LTBC#9R$`7nAM^8CpUh}
zL-)twMV&(9Er;jw8?lZ1$pL2YGkRPh(;AwPyDgH3C=VV1I04QE@$<7ul~+oc#zgCs
zRA>^_qNh`RrHt0`<@2`P!zae@-DT{jR9_H+CsvMj=!y9VCN@*(pS#qpH!CRo*dbJb
zSle6jq+py_#_-|#`4@+1&}pe!e3=Q|M7FGXwKvz6XBIWAWpPXQy!-I_?J1DwhZ-D?
zVvVZ4O`Z58#$+^=T$8CxpETydAA50g_dO2toi&uCHD1lvUjOHgCi|h_#aT6ay(s@|
z2YMLgQT@kN{0R#{!K)1%52~m5OBi{h+=ik<b#}PADHF^3`$`Ae`cL3FPY?&u<ky$_
zLMYdTu7wL`pHT`jL;KbJrUM`|Ss7+!iPM~SDh$6aOgdovE(3oFHx6-bxSDp}ann+~
z6~lDf{~I*2Z4-3Ib6D+m@8JXGBgQ+^mFL?zV*53b{H^fMcRQW;n%_WHH~RJas?U~e
zQP5_=@#k1w@=$64K%0F*Le~Mceg{vvkp0+KSq9bn)c>JZ=tN?6eOI%@=Ma=~zX51g
zUtz#|NhEo9N&A<DDJ~+^CDQ8r9B~BCYeiFE&!CN&iFXZDd{Wa{AQ$bA-Vx$cdHaTg
z17$Cakgwl{h^bL|i_%Sp&Ol5mV9=cX0BU?r^|fe<GmGv{T)qYYPr*D&g^H4duR6X~
z^g=jGW&^hmD~s5;u@F!FQ9BXY4nyY<K0JE=csic}UFU}nUW5DA&FYEy7Tp~04ebMZ
zb}^RMA7#oaL!~oCh|5^}9?sB%N(0duykzPxq-pMrA8wXh0>M!&{8<BVweQ=6tL5}A
z;CsLP5^CokI^g4z-s+W<Y969RWEP5<ioE$lhmP)XUe_SJ&WfFwP_tFhycV$Sz7mW^
zWDjal^xZb%8y*4q21s~=Clz1YRS%oH`w9>*0WK2IFm{()W7$PTmf*T)<YN1uKgzY?
z!merevStg5cvB`@L{#14y3T)D1|bOl*XgzX8^QNOJF?2r8h8ygbXtrietM*~bx;Zp
zY4Ubmx5?TUv3hh)IpePzHbrD}_C_b|gyV4sSEl&MT^TQt=h(8l8Bu$3Ka>ABmG`?C
zLKq_yCobO%B)y)2+*?kkJNPKS(vA7{a`ifA9SiQGzyj@r_65%W<LfP>x{BJaU%I=c
zJEf$%yGxJ`k(U0`(%mg04FV$FB_X9K-3`*+9cOX-+~Xb3d(Jpt^qWKW-mG=SoWIG>
zMgEW?p!;_oIen>8tPs~k3Srm6Rav90Uh)!xTrn0EZ5+cpLW(;aZs+lm%+&4D5?X;g
z=Lt$_?_qD2{G~UJCtTgELRf-tQ*S1Qn?<mD*!Rfea@u3$bZ=M&^4W5ED~t%~e|8g_
zUjwrV?@Zf}*UR8X-nkoi^mBT=Xs_$&5=C&r*RE7xbS`esO5}Z{^&pmVRb8&JVDfc2
z+7Rfx7dhS*bh7VX*crQ#0#|BFJONtt@0P+ft6KwPwWkInO?iES^C>M`#S1OL8@6At
zj=_TG`$Pmr15qDXGC10l8={%q)!+E+=E#xU|4=RotA!lRyO6u=jzVwlm==Bz4u~Qq
zfE)Yc#6VaNbL|r!Yhgp7d5w8W`-3QV)&6pE^y(eU)K6Ha!KCxusF>1lVhw2&hkTOy
zoj=GzOy7${VQ&NW84-woOZJLtVY*k7$jW79V?5@mox5DFHW{X`idi4B!9>OW=R!lz
z>@0={8Gqj{IAj=J&Xd!Oh@e)VusTS^<o*d6xg%%VCX-^GjawMEii2BZnv-HwkbxrM
zWv`iS!i8Xc3W~t=ilisNRO1=rS^qn(l{ED}_tTHdp9g-l_!a$GV_9sA!MFY(sjX^I
zD;dTyW=YEe<&SFqFP)Z}0<s0wj(S()^+s(4<63VuMP-BSwsa36_p);qGv<gyf9Yw&
zU7pDYCan<D<}>zUE4j7;voX%HKYQHknZ(OBI`G4jQr+Vs;_*drOSR|T>vKV81D4R8
z(Wz6Txw2O6-$qkE6VpJo&bq8l(jkztP*a9p?G)8lp8_Wn5i1%a^S}NP=ve7S*7Gaj
z8>yAjp&{s8im=<VaE@;J84IpYgccME9=dhZ+GvRKXk#S?@?JIV=_*9VtFuZ)&=*x2
zl_|WqJ;${2+eTls*Ye&R1{j47KzhgjRFhqctH~EYIk7`F3)_E0(;lCfLN{n74iT$W
zGL^HYPyL?EgPvHFqew7%R7qlM7f53`FRXX-D(;fV2D!@2vl^1z!hsl6PeFPJj5oy!
z6WsMgY?jU6SDUxP*FK^_`$5l2BG;6S>VNubad#6K5{Su(RnYl0%wIhA60V6c7MX;f
zN(Conq%5P2^fnNocO>#%rAAStwRNdxfD)6_%B}wn?n6OZF7TcL!rU4do%(DU`uX{J
zdEJ2i(l!5Fg;HxRu%)Ht|B`l_Pr_U8Au$65q60z@7hfC0I;utUV26iYwFi}>`J*>)
z`f1-=%<x(xcw_Py3h(z_G|Mcv!m)UUXW@T;Y%H-eXPU~x#3YZK>=KOmG%nY35~1?c
zr>Hr4hPP9%tyY(Y2E;~x4T2qL@@`Trd7C)&!M-Otp_J`b;tb-St-z<Ln~~qcf1~@c
z;5*inq1JU()f0(=s=STE;hI3(f3*N+9;qFlQ(O`6wUkgiKca~ljQyTMNd9Ia81y@b
zayY-QPHNPcd7We{zKGSn@OSY$3EIZ$tD0l0?n};F%zOg<?4kCT-8$!S{^y0=R3CYC
ztKUM4>kEe~JKj2#x;3P@c)swj&g@=&rM<4k{L`PFhB?&mjq6JV(}d}&N40J!%lxjL
zmqJFv><W>n60-T}&(1Sqwc#AEFEkI7)3WCZ=t5LH#y+QzT%yFwk9Jtz2_mkI6jo`q
zYV425wWj8zann7g_tpIoOe@*<9)1yFzK-ubJ5~_}dofX_(EHX8!r^_U?4I<i-gn}@
z$3(MDYS`-()7d+3>{NdDYvNZyMFt;?x;A2G8mj>TyRk25{`&YYeU|T*fbyWxes&DJ
zQNATg$QCT}zivSu(>F5IipjpFaG7t6^nJQ?-%_-o({?LL?oH9et*XjSgM#sq&*vH3
z@nh|W)8y5?7EU(iFBr%E=Pl?BuWHZ8O-otWXKWH4AH*A9HpCkN2uKbsndEtfW;%Z^
zyNVH{q4ras-rOi%18VvZ)6eh1?Sd(tKD$5UY~Ok+dJTFaE(#<e!$O*weuhB*rnCu{
z?7>}}*o7ajwvy1P*{G7Rvnldm&NdN_&v7s;Fg~YcXZMyoCqggDJHddsBQOU@_QKbV
zXQ#C%xN5mB66F^0CAqy6$vcR;ibsJiG+3(LmrSCPb_jxy;)4H_!mNUhOsL4txjxyB
z{d6?~=j#}A&lN`yLG~=>2k?|J*bcCM0EuIOM^XmlNPvyL1wt2A11rnQNC0UBD5zaQ
zY%UqtPVn&X$dO_%hs}ijb0{Ug#_&y=ZX=Ua`<vqcZOk+sbHKihRUSi^SNqAKScEm$
zs>99ZTj>JcE*aMbtSNgUUN^>X*?#Y-Lzh@SE0qtMA&3DVkl5*Bv*MtM?GzKGR|3K;
z%^5W(5n|Ba>=>B{%C4KCammF<C2_}mTDqSO*ZwWSY5xAf@^ZUTUoL?_IZgPD64Aih
zQ6iSeIQ?SmIh-nWQ=)M+CIRxQ>k-7lyKxh@SeG^;1UWx)|4Ykhq!a|Q1gn;9o8VHz
zvV%folwUUvUfRPl!>ZU(UElX-2{T-ZROU6U$CDLg_2KH65)k;h#AT(nEd~&;*_m26
zaUkZ}Xq?0-cOm-KW7P(^U(rwhAeo-nEMKLh@lMJDQT5aPme?~H^f}oP5Wur(j)7W=
z|8Bqb|3wWFfaw4-C{*?~r<p1<0LpuKW`_gtHxQrL0|h&f3uS?+4shr$v?>3Oa2YvJ
ztqen0W_J~eE{>fsHo$+k>Z0y}>s%hn!D2R(w9qc-mgU~BR)zR)PlaT*dLyr<sCY23
zmiSNVt)OxrD>;Z~kavd-3ap<mU{SSO7G?#<8Wq^52;XZ>IarHzJf%%PjomsueTCyT
zhK=v6=#-0f!@ESEgCNfDIF!xyV<jkAhv&DfW%tiv82@TK$c)NMLYgs3e{Jg=lXP@x
zou^33iPJ1%pmd<#P|p&!7|xtDlaRJebfSJMB}gu;YwEo-aL+WS0hLC-tC1@qLagnX
z+VUd6ZLhOcIMDxQBOP#Y>w#`8j!X!+yc=6u0I_?tpL~9$eWt~IFASaJ*Wh5Q+fI^e
zn~Cp9?@;sqpQeA2;2q+>*>_Us-*y>`Q4uPYD(_lV<jjsb`$z@;$vOD@!DCxzn|Zah
z5cs+AqN8{sn8k_q0>44-7?W4F<r4CtdvyBx)h{&*e<kaV{7Lu|Vza}8=IN7(Q#v>~
zh9rAau9Cge=p?J)k!&P8)Sx(1-@|CXq-t^MZefjT`LvfOkBd%Q7uC8isNbv-+y^~+
z(Zz-*=eK{G&OI8?5U$E?n^oPO)xy{!cBZV9K4{z}taF0%YtARCQR75c-=+I?ND+hb
zVjG4!drOw0shrYmGdVZ*Pu2VrM27|=giv}Hi_UQ!yy*C>UvjA5G^s>{qSVt5oc@g1
zJDBB#p)Hgeo>#REsw5goL*;^5sV*(dGLTk)Jj$)-un+*3|Jv?z^?2yfkqO3wz@)js
z4rHIL?t2jM9zdVz3RrdkHUN-Us(`lgObP>nb-^w0MoxZn4WENC+W&dNGORS|p@p{r
zn^-@}q@-5Pm8Ln1^Wjur`l*skt%vrHe4!ZkI#*Iydxq%8k}*9A&TDXa90=b__At(8
z-y-i!Y4v}b`@lfhJ1@b&ND`muqLzpF_32~XL&D=HO(^#ryGD{Mt)#8LZ#vn@m;`Km
zRsxB_^eJDNFOR$1)LK6Yqec;Z&{&j2`SdF6g*1<reW|~i16Mx|VqtAooUf5~5Pj&)
zRaHZWe39(1ISUSVg0z}~P{T4g$cMcW?HhZ`-sVR1*Z8e0T6U<BL-r?j2iT&0L{>3r
z$Jq};Ii7F%{8DM5{=@d~c$n{)oS4{OY`p@WZ?VIszvN!)iGY^|c47YD90jf0uh5aF
z14n-n;J|lqH~_i?41x88+9AO`q2-$)u+galy*n^BJI*&a0553FciZ`YRe2cgac`Nw
zDpw%%oy+Ascb<IemJVZ(7d0X=YkU?p3cG-;b15xJIo)1{iQ;Ti$P`xo+Ea}g|1cS5
zTgsi(d;ben-9vSrBDa_AQx(tzu#cJgElLGrk*us^n@4c9bX4n2H8NlAJu<8~SRG<W
zmGqms;=<!!QWsfL(qzP6S}D#*zEL2km>85+D6GkE7!^Ez>_j&gaLJ!RoQ#96bBa78
zU{-tJAuJut{eun}l|c4czblp@VsO@&VzX_@cZ9o3pv|q+HwdJbrAPAPnW2V2Vn~dG
zda<epv4Q?Ol+gGZ_#D_6%o|-cevtrf4-gHOR91>zEw~;50pJ_i_kgYj?iL`STL$>O
z|H}wLi@O^j@t@`eJSK02`p^{MB_%6UfQ{S;e~j!Akj8QJc`_@b+Zpj-fXHk9L<`6=
z@NU#x-f5sx_ugk;scdE|N+IHPq1oQq&10(9v_N~!&>B<a|Fr>q7~OJLJ1RTji+gTz
zQ7JrL5K7prN<FNc4Gm|AbsU1YQ1an5wEm%lq!7_Y$+!fm_V0LvF7vF!Y}s#IZvASj
zFU(g=)U${!LEKVT+XxThfsJxmIxWf7c_%|@fh>SYFyY>-f6_`G_^Y+10<R9(-f*wD
zzrz07eFG(kA^eI&rg5Z0lSzf`hj0;UrGtMSGC%jn-iBdY3ba%?P+If8y$m#7)5Off
zJeK>{y=h2oi%4kw*=glfh=D?v`<-&OKrbwF;fIgODM@mlhwS^-hB|9SPG}rsEf=}$
zd<?RWOtv22pVn#x5o9$&&}W;^k!GHyXffkfm8jWHQ#7Od4R@(*nl{2&#_f^ybwrCy
zE`V6j22gmdU>Zj7+CLYk5W*7^ym;E5B_}46(n8*cBNdFXiGVXLcK3Wm;BURTneQ@?
zjI=YGtEDj4ZT*NX{`W7p{c_Wjl6wDH>${erG{QWueJGv0X-7Jr6Aul1!TLTQG&<}#
zOo+Mf+d1Kt3<>dO!ATFO7PO~8=f!}0>i<F)jl0Loq#ky8ee!J8vX>-<)J<B}4y3IY
zKX^+L$`D^vESlUbEL|1SWjlt)%`?W{CyDKwYeVUf6*qpn@n3hCbKZf_71rgpFS{JU
zUyIccbzQQe|4ldOquoSk)rLl&C?-v<Q4dIaT~kjbQnd5Xc+@~p09TX_HD+fci15d&
z3)B8JMX<Yiki-Sk{yQx}xNxp)nYWIx+!0cZ65Snd>9Kxbz+aa&`TUxg<#dLSV&TVK
znCz9r6qTP;WIZK<W$5IfW2vMQGlAFbQl4aHcBm@#pw-OCD4ZKlL(wUiX|H=V2Tc6i
zh@0Vh0{x>>ee1impBKa`G|2}e9yT`(tRvZ+rjM%nQM8#<D6O;EF+~8!t|iBLOBIRq
zxtv8c(BziH&E9Nx!h!Fx`sA`2f^Qjs;Ec!4!)Jz5PcNKg5$s9hGllH)SvAaqb(Rx0
zg~fKH=ffxceFb8R>mm`<+GfVq;9^AMpc?OA89a<-#S*8y<@J-|P=W~e<5Kn;NS*%h
zxts?rW|x1XK{trQFRsFx{Xm&_Mb(f}8m;-a*oUe;{n(!XVk9Uu8erTzG*;X>P%L4r
z-GfoJjMO_2SXolS$ilL>(0m5`6VEE6%?~#qio@9T4-fD{IZRh9+7yE^{ahVjLj3Hx
zh9&=ZW%C9WH!mv`##8@D<*`O!dYBS5BiJ3g`EmI-5Mjhf24`w@88iD(%ZEl&ySKD1
zO2ezWB1?4-P2)wx+N?>52*?|1XGn^0xyxA)YneHlr*+8XmW@Nq>cwh4w#}v&$R>-z
zoEhy+>^jijGj17oXSyT$8-5E_ih?jHJrZ5qX1V*oJIAgjpTk5spF8L@(z4OO7AzKs
zXssY-aI2A>@UD3;d7LwnBn9IP%<wyYB3q)Ct`!(-(4^C3K~pghgYVF9k-i<zt$f5r
zYm8hje)2WBpt{91+P<?)uU6^k8>?nH;$AF_O_O;wlNKVlM{qzsONHyKN1qd6j%KP0
znk5f`<Q~MK?gK3l5L@{7;_GU^e!b+}|DTOM+*|lZs&j7#6+c&Yv-xWaZ3`G`Oi)eS
z((O{5s=&|h?9ImABW`bshRLUjPNjxiX(lDCw<IRXly)x1Do1ZvFR8L%7VEePhLzGO
z2y74?zvNQYn9v!(z5JF}RL<l^+KNkJDP(WZ{f_do`ka<hcp^Q*`(2G>NE~eOF9QfN
zUn^eD85^~@8De8WeL+Ke3A<dup`{U@>3%B1=3^%p*+s9?F>4{kM))?VfmC9RT&5@N
z<DTzHorO97{X?ZvsJlJBCd$LFOEKQC*GN3n+Y?E3X_j{nN;FRn*g{`90T_bG$$ppW
z98iF+4iCU`2q;?Pgii+ye_nA~^tIh=W&#gyJNOG2SJ1pBfVBJy$W7P{n>gfFp1E*0
zXIs<L)5C!IS2wPz)EGMZ?*ft47dS4pnuUII7VFb3hC-QICY>$tlbliElq1%^0Xg$&
zQ?o3+Up-ifEM-Xx{uQ(1JCJdI?EWP8rC;jppM$g@Q8^(NhSl9f@0ftCxN*qqyRt4o
zh*(qY<`Nf?^|ICPA%WE)FZ&y?|M_6xw^L?`b)sv(bhpiQi$g#HU+ASg18V?D%JP~M
zabKkl<~|hG4XkZlQIPMg@S`v;7m}(A!?jp>j5xz5)}r_Qb|VIT_?(@EFv6nen0vKZ
z(BRCjRktO$!hCtU-qP^7m9=H{BP^wCJGoZ`Msd8M0SDUtF4v`i7GX7PU=CRD02g<=
z%ZB2AryS321hC}!e$q!`_1U=(WQ4)YOZfRc0B?&oNW3!oaI?{D^0>*@@yyF3WYu>A
zaboL3PU8PgWGNg^vfI$udOP|y+$z*IA6sW7y!giAqUdbz>vpkWWhI0KT!<6@<oM|~
z5%L|csgA-VQ-yV}@zZxBC*lmK8wUZ!!kOn%b3Sj>)cvDF-c55hRfr7W?h<PLz!I;&
z+Aq7t)b>NFUo_2CRADM8{Uf0!_ynVxEpeK7N%L@R{RwkJ=8<~!d|lS=L06-d|HZ~V
zh;bmYiE%?9c}#uH6c~T<{rLCmf?T_l*VhHk`*?!ghSW*qcAj4ono8uwpK7q7SXl}l
z=Cxhf!e$tL%epC#g=u)Qm2)cU&Q#m<QXT^ynY+9Dvtu}kPRS)3XuEF#U<wGw$Uqdu
zP;($GqAGxL0$%=5Gq4jskDWmU_gU1>`!GFA$fKgH%npcB!zn(@fLKSsMJb-|-d{<W
zdM_?69uUgT-sClW>CoJ9)VG&MQ0Y}8vtqEMZ)c^>-*caVdo;LaSzIjRt>yTUHJd$A
z(6P}cQ(rHjn`#M%hwaJxz4Xj!IN$9E&*CAe?dz<(Tskj6qlxVbv6=R|ov~z}&6mD*
zs#BL}HF(2kPZJT%eC6bAMNK6j&0}!bE(}Xga<D7weK1$VG6NBtTiv^*9coVW;=@*H
zT6tvYaNzc9;)p!NwpE*Jm9b&P|3#eiB)yaZfgi-haDJ_iSn*1_4kg?%5lvA<RG<E<
zlvy`{F=<ns?^_=0JP!wfhaOA3&TTPnboaz%wqdP>#QfRHje>8ZR8pj?R7vC%Mc<1!
zZzjaz$&-~@-kB^2{^+CnhRkD56fbl>vp@kcY=?`%)<zBR9_3UsdClNl(=W?=-zp<&
z>B`hu&9f#YD9_zqC|lHO_Zh+RB9xf(<v=tWd&4&oQTub4ue}sr(83T&f4u$0t;Er2
zaRjEKNM2e_2fmtnW?nWze_NyxXYT37I(TxR@axr(BXhqyXfy#)>L43Wacd|m%N2;`
z?*KRy^yok%0EQo~LkEE81TtD?fuaP2cs{Kh|8KvJNeIF__<tj$LVU@b9tP!tMeB*r
z7>7w=w!`WzFMHPIn1%NiBhTMi7Zae<Hk>KZCB5C7ja*1^SLf5%y*b9?lvKW;swq81
zaE(yLm@twH_Dr^BAD^+<O@VbzWuw2#7z=^lg}_?peuv22&8wKN@6S--X#W(8Y@&f@
zr75PU``nxWcb5L8(N5IM)=dGi)G!2^Ou*63dzRdyzo)t$=Cd7rdiJm8JzQB)Ilt_I
zT@U@9o}nM<DIY<OwIq~VR^4AbYL=z><9$x=VmBf@cK^(GW}eKi$0%klX4biTNb{&`
z6l_c9oP*Q_oit=$412BSr(j&%QI91gDvqYDMa~FpAz+gG0tW&JHW4Kx@(1AZ4|ns+
zAHdL!t?jt`nfPzfAGdrv)%e^r0#R#PYU&0?IyD3wNZ-DG^#*K-aR)QVzxfdra+`5z
zkqADCp)aGKs1x>pvVcmrWqorH*Dth=bosTktK}Zg7PB2>CDMg#xKaj8x$G*qtRGni
zFG|YfXnd5uB|8#wHM)=Pc#Vx|9a9jM5;}9UVIMJn>YR5UB(s=!Ec#nA)jp-$=-NOw
zKAbF>3HjAhE{Vx*LL1mmMWlQFMm>kQJ?aC2w%d=P^f)}ciTu5ZDoc`0>LYC_RlNfX
zHN8iv;gf+Pon$YYuOki#FVA&bA3xtojaj(i`O#?2L-z^91aH4!fP<$y-%n1K85C4^
zhTAo0VEB|}La7TS(!YZhMRj3LvG(*mAT;Rf$UOeFeMj#zDrKP68k;uIq~3NC5I2nd
zA1(l03=BQgfGe)LpZwWr2zKz^AU{U<>HZ7=y!U}HHLe|#h+_q0>7YMD{wP^;1&*`l
zUo)TE+D(q>29;l>!Kdy(p&P)nhT&wgekKTR*5LWz5S~O|EK3#Ywf*3R<LBA`KCkDM
zPuxKyC|M?|&_$vxtu$3Ng=<3{f|c4EcRVkLy{1kuTx^PFPbZ?js>#obCnwlcd_x}&
z(ws<jm=>G<{fCFf3~HvC`5enYjU>0i{zlyiHI&FjD>$H=7k4Dwr5~1k)v;uD{+4HA
zLbCQjL_!6vuF>6MJqXq=@msYO;^qh+3<4Ufd>n3C2J*{C7aTnP&x&HUHhlfua)r7-
zj6-(pRCPzAV{|6qcQ-zdRU-TJ3DCPRwJyfpcfVWdp=sSID~t>N%KusHzqpn36ojgu
zTz<}T7qQ7b-)^-^*EYrob)ZG>A`;nDrBI-Wdq&5|m6TqW_iUWk1jr9_g>hbV>_`~j
ziq<jc<B%j6wZ!adjFyX`n_R8`=C&kzIW*onv#?R;uO}+Hn}#?&Hc7WmmBOF}Qz>$c
z0~z2JFDN+4L+i+SwY9rIF;Q7ow6l)9@m2z!UwgFR1Orc-QG#$O`Qm2Z_*A-kpLzaH
z1(!`2^--Y<)u@?u>{I2kVyO_6^({$O=ES39abbltW3g*e?|3#(jVs5{MH^&kH3LFy
z5tF3}${)PIPOX2kHgy<^0`5d~W=$0Jp`0E>#?;0n&zXJc_jmQ{mF|wy+O_xt=GuBH
zK@&=$gp+5={k88MB(ryHl=5{IG@lk^yERdHr&W?(7*7P+@(EpJ=2u<h9E_PjO&-*y
z9_&vT4!3#q%U4>+EZW#@NRMkG8IHwJ^|diBK@~_mo*Hwn=AF+B$%4dm@Pi1PAepKh
zPnXq7Y{5^yYwVrhw<z5XyF?i&`fc1<`WbH0699uW3<z6!qaNS5R{a$XAflIVL$a0*
zd-znf7oZ4J3H}XwXPg%)h3Tbd%S)ydW10h4-dl#i*a0F#M!{H$s5rmQ|No`&TStE{
z^Y39?N6+j8c-<)Gg3fXYoqJc*-IDB<xBf?;c@;gFi-32uNNt^^r#~MSR$1)MURnUB
z8=2VYEAG95i*t>mBrsy57vy%8-#xT){1WNtQ>1n8Z7yn_Tu>j9^_YAx2B0TgOxmEM
z66>Inz!lX`yeU7k$E`Sn^u9Weq&=QfJ2atGG12YD_){gbzyA>%*{5dSvagg=Qdcvj
zyvWvxo69g>@KdOn)$92p^emzrH>BB#Px_y>L*T7lGK^W?5)p6mcRLii_r-<f=8A+N
zEB*Zo^#n(nWsWO_Uib(5e;dm&o`2PIBjlArv#F8IY8Q7Pb8QUK?=ciU25+&Bi<B72
zEsEhKK;pKlAM;YPt8_4H60}Uiu?5Xa@;@M`_2<HoS6C&Q^&6IIlg|53c%==b9Rot&
z2z4LMqf2mh8vHJ7onPc*J&C@c_YP5&&PWLXtV(pzUZJsO2^b%L!4MZ4S@+F?I}BkV
z>gs%DMPjJiS2rkrLSLSgFpMW@%^fVRh2-^e%4@C~lJ?z@f-*VmqwiDChkMQ4_SvL&
zP;|%JSU*q9<>lvem^(v`ZtVSi`EBQ;RX*4ZiwdNPZ#parA^Y!;{<TUR*+jT4q;*Tg
zxb4}%8aoYtBzW8ER`R{V?#prPhZjEyvCtg05e4ass&U3q2%x|E$jw8cDuFZdTqh|P
zjMD$VHW;q=z91F~2q|X3eGW#N&-{L!vey^jENyAI1s(uyBwr(=MPPS{7ufu0;MmUN
zF$XAZ&nse>DAdf(@f3Fw?OwQqR%J?sX6)vx{7Se7?=yd%Ipw7|dU+9k;XHl_@<^0R
zu!H=)7>zuR56oNEK@qJguB82ax0dnLs)BDPFZX#zpxlLQcx9VjQHoRq6iU@ue-3ld
z$vd@&uxrrUWU|}5O0<d<7s?F#Am5y!%+nu@uP^~Y67kC%=tum4VlBYRDSmNjqmQU6
zPa=E6`wf;q1c6|-XrKC^)_Wey3rXDavQEh8FiSXD9qccd(92S3Xe?@k=?-l=DbaUF
z@u^FC)g=wSMdeAFXlNvsT^)X&2O~BxV!u3G^tqh161$kt0{VQQvm*wmP~bs!t=|AK
zZd?G516Wr}ZsRH-2!VvdwDUR40MxdIC(YoV`d@TW!l)@k0R6&Jck4OsWH@)Uo9T0j
zBw{mEvn8Zip8;;2q42Q@?K4_o85PCp)zZXoYDdi0ip=7U<A;b(xxr&8Y6ZHH8sEut
zA&h>K#Q1ADjo&;xAK{U<<yo9#+v{>2IbNNOzv~Vl6H_kJw4t(Q@Xo~HO`!YLS6YD|
zOBK{X_Q8FAgHht|%mZB)l!&<vv;(u!rp>(j@AjjPLUq?j*}|BhSfWdn-JjD8g)(#2
zVo<!v#korPR$tm<(i+RT++t<KW>)dF>w*x9d<deVPkJn*hi`O^dIP3^1yyA5Q?eRT
zG%HPv=W$b=E2XnNC)ri^^P+76e9-%usytwK2IxxAJb<#_A3V`#mJ6Y=XP3Y;DGNNY
z55S}e3QVIGH}I8Nyl>h063zZTrS?A+koc&^1lH{ep#z3Xdi)A^D~t(R%8U)gPW+@Z
zt_?a`t7%P0`-}W@O{v@O<`Fl&35u#BRE9^dElKuWyc<IB!NPse&F6J~S}r!6Ae{~~
z>uAMUozO_NN*S|t7o?d`?uYeZV}&^@)imM=&TdZe2ct!VCrOX&^*4t*2X9>#wfo5_
zCZ!XMMHe|fy)>P6O!q56eRDG(AySUREwwb|5cyeAoH>yPk2~Wt@r%)F?#=GBlz20V
zFGg~y$7XSbrE>vf6_UW{IpR$Fc2=_sNN^!y@=^$sv}4UUHRx5TchT>y8--)j(vOHm
z)Rd%Fo|j;NnZa({ruV4%rK!@W^|EEJ!l2!|-t{mLkz5aWt?O*Yfr00LFCv;<P6VD$
ze(;3>Ym-kmWT)SW#^>EJ`Fg?-BQY4Y9u?Z>RV=Vvbscx)iC0^o7`s@(s!N4!^>IIA
zf4d8#<pmlnPnJowD&xLTC)&=ly35@O;g_EEU<fpr<%~>CMY&OXT?YGi1{FWnwxejM
zDE`VnKy#%$J+TSKaDWwO3W?dDq(&VpjVP0zN`tNIA&X7BLfdot<0*RK_GPly=A}ri
zXTOouaknv}q4o_o7Q^miJ^o_JB5fZt+)Q^_gQ_j9+Y9}le}KE1-X@Q<S{rWYbx6Hy
zM=7f^$@Mx(EHO6si!Ti4e1CVX5}ls@+Nc&~T)OqlrP3cea7u3T1U~O>!0hL0fF>S|
zT-Xy(>w!<~1-EqqX5i6M`&~9tw#<LE03hqV5zI&?rly86xDXR>{-gQEBdd!c<%Nv-
z!>f0B&A2g<^iyd!iK0H<5QX^<>wbDd=0a5qeXGb}?<h;FF>xQoJga$P+@dq4tDuK1
z&NoSb>!J}F4YeCql-$cUrZk(rq&@0rNn+jX*m-&DjUYM_wUBabN|!hs)Y1dJ%R8}`
zDyERDwlGe?VrKUu$Y)Tlk{#fw#^uz^rUMbTNgFND!5`=^8Ui{TR+B~?BDiyBJ~815
zKF+E_BHVK3=G=J$uYUhx3NuE=@0`{>;iI;u<^JPi9I8qeKtNX%#=09avct;ui~i%=
zCvh_15B4E=6=9!eJZ1jYzt9-*y8w18z?uP=Ni4uaJ&!nm8r%m&ZFu2aFJSfo;joq#
z7oaNu8l2Am<<-||Ibf&zZ(-TEM?23gE18oJW<Oh*_BuuOOxgx#&Hy`w&<lsR)y?<q
zfVWZsBa>HyR4AQ7RimM|m8^t=-dIg;5h)E#doonK+G{Zc>yK>u@+4`rJbg=-v!%V~
z=@YTaW~gB|03@($KIWANnwLf#Zsi{xC`K3%%a?Nqtw?DWSJWQ&dXooR@@8CS$io+1
z<5JstB@t+f`GL2BEi=3lnls@u@JydQQest#tnZ_X(W4vES`v4vK_Zd`-~MMZZ<k+^
z2aQR-d3IW+>)dsN#Z<;WDm)m?Dw7+`1{(?)6z=k?_&gsgd4+Rv<M%hc<i&UY2ON&v
zrXoXo^5xJ?E&cmCFEO_V%g=XlLD?f>=s1kVbN(zX=LZ3Acg5<mIC$^hd=?F9k-InR
zzkt51ji^)XELRE6fNpuHw|hCyT9-__@mC4wi&898_A2tJi?+jjttz><-rP%TvF*4E
zzAqy`-;4PP^ZcCTw07`TE85wif_Q(m+Vy#BW0&<;G4y<-dmxJH79Q^fyeWy+{^R*o
zHJH7_R_!H?<jhtg3(g)4_|Lg>=39WBE8XFFZ3GpuBWkJiuWz33del7?U9Qswa&6A)
z)IYZ`*;<4=g@r`jjOsBD$K@+85mcYm6$-t(RS*dg?WFiOa;Dk*Hs4~QdwArCc5R>R
zSeCOK)^SpP&w>9^;0WvfKw-0*J-yYzmVRXP&IR)}_G);-VT2)NB+@I9e=G8qK4)Oi
zY>-aqvf7UL)nUoB_8D&GzCd+25zse_WIDk94HWboRdTD-_7B^}{QG9aWX$ovIA2W>
z6X(XwNz2V6ly~6L?mbPT-Na3RXkI~_Wb2!^{oa>2_=LGXKF0ZeHWc$_*d+Xu4jtU`
zVdd&P!|`qt83-a*dUVz~zVKO#UviLh3-(l}N)JzMiibO+S-)08X1Ji6TTgy<Lj<=p
zJ}!@$S9*F}I@X=<`OBmHuKB&1QURtRS1IRZ_<2YJ6)cS$?>z2=g55GxmLi^o<0IrS
zUWi_0@PTUi;u4kYN-`K@zdzjTAVi}7eZwNhY&ADIO1SBJ&CFaw*(zz%)!Vt4`dfp2
z<#poF)R0}uH690s4ryMYpK+)M#WZOUGRmCLFWYsPbmx-9f7_QWuQAUXp^N^FWDzbp
z$6tEvKNd0R`rFNiX~l;R>${&*woy<@xW~BhbaCiw23}&+uidUxVjzuFIf#Evw>xDT
zwx6agxL3EEmLYJEm4@P>vAuTH2DHoS2f^&mQ_K0Q_!ElojSZ~Xj;<d781vrPU&-I}
zs>1@u?$K<%p*CyIO5_Km<VDIQhe~sIPqoylbzLGE60QImxAlIE!&>o>?QLFp&uT`k
z)GCFMIqJ^M{r8_#En!6+-tdCWe#=@hygg96oxln0{wswEq(R2rL%=kt__K>52rzXG
ze;zzH%)b``7T)P^C#<WZkkvh7BqStjcf6$+^#oaZ#<)*7r3}?pfpto7^aPY<@!=f$
zW1&lw4Qsan4lI9K)3~9uZ_1L1*LdOx42||og}$7;$5p*4FW*KOvd<ZjIf2ZZ#l0K1
z9g9A_M762SebEc$z?xs*7%&xOB@v5ctrja78R9<+@k83!O~ROE=x@|q9BjbAD`Y%F
z#n1^Z2-tA0-EJwEiXBb=!8&q(mN6hUOtJUzZ9yH<Z@4l(14f!`+5EOOH_glZghMt$
z6s|Fna0;;q?I}27^wUHYU8>o6gH!ZmvD$Pdl~EFrjl{k@Qn!Q^sSsWJY%DWbxNTDQ
z9;F)I85*p#L^c~-umq06XZfEfgP(Nipb!_Txi_Fa1R(}su#w}YNkcddRCoX`H2(hG
z-hUWouyCcGs5D9)Fr25u7TVvDt&Q+>p4el;1I7xlTs7d0HB3d#_mqRyv2V5M&2u@}
zRS7L;jEA2_uY{vxYxiWKJ}f$ilSgBA%+*r+H^bb7kl=p%`2MhKj~eWBWMA4z6Q4Cc
z!D*yQ)fQz~j9zA;9}Ju5HzZ6Im3ij}RuF#Oj&$+nu3zPGKLwiHct`*Gy<v2*LB5zv
zSce#uK^qeF39bAU;o;=T0n!ic#DmNM@I3q{RE*w}xLzmCnF?B{{V2BRQA_f|y^f1%
zS1?B~z{LQwT|^b<>DRdal+c$_BaG_jg`;8d!u+<RbPY3>$9jhZ1s0^!#j^_5c;S8F
z<@)9+iJ?vO5#`)?<|T@P_?lA|fwSNK7wOe9fGGtPyse#`&&4i}<5C;N!?qkK;;pjW
z2|jQD^K;JqIs+JJo7~M!gLo_*aNPkgRV)eLhdqPk+jRe%^yg58#TNJ0)i4lYHsb`=
z0-~2Q7SEL{DDMAHz5;&vYLOID-gAz^Tcmc3v|64L%eb<~3_IBgxgYP|bGp5zty`o@
z;<jCr!>m@COQDBMcW``@Mbi<!OZZlLa#vP5TZIk{DTP-{WcDxTS1SuK(*7+2?=W^&
zNS#GwVN9E$C_|QfxqmjS+F15oL$_h7ObrK%923&_9m20Q={AemQlA)}t0ul;!~3eJ
zKf81jXF@smZfdBmI0KcF9BVSTF2^&5XrGAr+~<YYR8Q*Wu+j`FMwXv9Ce6c{c1X@t
z?MM~Kir;2(-`VqyO{}`&fL!LYQd%iR0k*o%TLeV!%rvst)w?b!CIH2(h*<!=5hxIz
zO^466dN6o1tbL~fN-Pj2WdH=_T3WS0bp)Jsp!Pom#n@+l=QY5#a&^7{+@pIbOcA&J
z>i((eX~0<p7@+6)DUYG{yTexSa)z3bap_4x3?v8&sLmXv|2F{zo8K1FeyCJQm5tvx
zoZIR+b?%6cXqW*iMfY~|BT~6Iw0w{hU+->m%tvKoG3(5!vACk<EV>H%6-<D5bMZv8
zJ#fU1;Ot0}Mjkas$+o>e{j&ZkBbe;=5N<mEcX$x<54yljpTxx7Pf0&V^J{CE>{*>N
zP5JwNZ)~^$0FJ`==|%R<77i<Vaq;ZVL=Til3#lZOWq>wC_6H=-ijWCYl^p(0DwZmN
zA$>fpBATvn5!J_Y_}BXt1sl51t-rj{My@b;I4LFHg3aHW6c7Ri6GFZCosX)?|0NOo
zjey!yE|L4n|4vT;r{phS#UlrLLa?S2+5*tDXWg5j%+>P4p~u<gAJ?IFuz><4TLt|w
z$a>xepCs^+1K<+a6oWP%tV2QW$&vrfph-5s&Cf<P1Y${2V2!*}_lz`u!DCXE=;d}>
zFTFetL255_ogvjKt9|g!J+ZGlY=pE8>cNtl15qOD8-uG*0@}t<C+p^yx4e_uw0&Q?
z=xt)ZU(8eSh?+_HqzziwJs4~mCadJt&Y7mqC5@2LwF?RkX&w4h{4&`XA<usmq^NKa
zULGi2CZIXPLvvKom1AyPqGF3y7S$1xW)%@AY=)y{y6VD;d1m9L^%Y%;2=<;C^*3AL
zAFepL)J9E@azawOAb0gA-faE6^}E9Epn}?mqH<``Bj#!+e0lpvy`2@A5ZAxku!F1L
zynNpB*pnHm6hP6|?Ng+Z6m~YA|K4`EagbOy{N@fHmQ%c4v-emyL@EWZf}@Hyv2$9U
z(qY$@HTdQo|GNsq90v;)kECgSzk!n+?t2#jgHLI98LR8a2bR#oK{e{c`Fft%nJ0#)
zsv>{T-MR{$DFz}EN8Y8gt{Duw_dS)Pq%1|XyX}m9{mOjr0h*5i)AZ7Pura9}9tYZ5
zQXdmAyL;X?{;zb09ljPGKve=67kz{E{_{p1m2cCN5qxZE99d`3lVw9>*I6k$;hJKN
zC^%Q35c&c_-X`foXMbS18qr_PXmPRxW9NNP6<)R7&WAa|BTx6F9-ba~t`yNTI1j}F
zTgYv?)~4a&I_^(FCvxN+$qBI^jdQJx5*E!ng8su+cUzA{^#?K!R0mS`Nv{cV+spA0
zw?S|pA)kSs@Q5|jH}|oWQUimDKTxWwJlOj~dAJ0OeTo$qms(<6smTfPP@f3Z9TJSf
zf5v676qEBDkDknGe)fFZxXzF$jwB*F3l`EVUBM<GF%v|7Jd^uD^1CF`17H^|11rkY
zZROJ^uok@Re5NFVZPQRQol@EYfN29?<27*Ig<+8Czj-6z)1U*FS5Eot@WH@ZDMy&E
zGJ4g6{KTO=Iws@lwxnl3tQd1S?$YA|8)(ppo)+oGo=(>)CEkbac_)EtAII0!O%!43
zd{d-wDmbFg6bn%^u6(rIT$!v(xLu&F!dXf-VW8{(5-MY6$#_iNU`dgx`)a<kf~6EM
z<)%}TiMYB_Sf=otoFXV$JzxG0TtP$qbvYcxCUxFZ@sUh}e~MSPP>M~bLVJr3GW3^;
z35=JG67j6Q*56w#zrkgTsuV;+>mf2~NZV}~1|Uab$cVGeS+lwqYnjGrNl4rxMK!|b
zkDmIxvEXny&a3M;n-1BKANnL&3WHq%gZzW`M<v|#zLnS=7{r}}g5a*3@cRg8a~HyM
zfQZ)rvNk8{!|e{3wLGh5Tit8-kwBV+?qSE%BY4Ig`T1+l_yceYDvllJ{}12?2M|JG
z^a)=qE5ng;<kG|n_H=Sq34ms1M`X&_1o<;oE993WlM_;Edh%zuC0=irg=om{mUpDR
z+oU#Mp^lYyC_^nJ?l8e_1Tp)P>OGd4$}6W`3r8CUIazA!;&$aGMm(~&6x7}(F5N`Y
z*<^y!Y7ucs@lYdhA5YhTeqsKQ(#%AIg4!PhFZfBiedCT=1vra+$BnkmrhFxoSgFz6
zM5f1<kNPJXae52i+X#s)qjV9MD8S9(42aa9U7x*6#(o!*;KHb^*B{gW*OM`#2Tt$R
z*u8_tL_!+Cs7W|WDnw80H%C2eF1?VW;xg>{5&Tyn{3FJz^frt_jd!nu*VeFz-PI%n
z$Zzx1y;Vl^iFeAI1MgqxeNNdLIY?*Zmp_{rg7gY?xesQr7&j(-q2jg;&N<6@{LTAi
z#1S<RQ{x>>K-fqlH$rBgDnm@mG@G;Fo#xi=tFOJ;y$bX~4!rN*4DtJ&4(JTT(K9X)
zrwZ;DMiR-3ge*~jgZT>lBrO0G^vnSQ5I{Lnjc@vZVE9kJr?PUea0G-A!*DA^kQ1CA
zVu+&rp2;+*h1DgD#(fqx0f;HyeKhTg`tN^CtnP#t;;bcQ23B>&GuTzl<7FN0jB<F9
zqbtmC<L5zla<dW~n#>W+CrC&vhCQaiqbqvbu-inb+LW))^Oj97D<bmTYC*{UEKkWx
zZoSp2U!=t;?O$gIbf8bLOBsl#96t9<6NVWvu8C}XAU)_$Pus^B=-__x+7%k%9m$0?
zc(;5=M^Y{izNr6T{pYNa{E~Df(LU&DW4De~#WkoBM<c%QBKnKHo%gYYklHT7>?2Do
z6+OOgYKIhiAF|CtDLL&a)-K0%M~cd1#^r=DWu8*yI0)f{{OY^Vq5j!0^|{tS-fWra
zph*6G0cPG-T}OR;{dwd#Km0<92tTf-8zsVWU)C?p)$GLGM_!5HFgn8}2hT$(&8yBk
z_VUY*b;DA+lHQU=bW5C;tuL{zfpvufz-K{dfg`vg!L-*IgoZ5xc&BC}8!!Dopzi&o
zt_c`ZI_j4@7{Ot;1_T5UbgBx#+6OmgT@o~7k2(T6-_5qKG-HFeOEeUF@>6TnA+zS{
zeC#EgLvmv}r8mcFg{qkK)5z3IJstCzZegEq=cBl#Xh{=t#O2Cti=%U;I&2tBFGXKM
z8l7Cscxz<#w~Y<YAejt88MHYJ$EVDYP}h6SFTDhPleopaHZfpb)R?^6#X`Bf(Z))1
z?t(Xl1(nh@toDcWcSOLHt$_E|i6QrS$OYdkz}99)(er%TRNL-=8Igx0$!1_z;fPzz
zNmOxQs!e6{^C5zDLDF!RUObDHUF`g#r5Ps`qj!_XwsPo*ox3Vlx&ja>?nC7!9gkH%
zFrEXqpYyl1RqsG}<TErOoD8DJY&D4Vk6V~Pew~&SE58;c<@RtHBEMGu<w*YtJ+@ee
zQac;fDKExQ{4YMNkfTtDaS$6jWakx$pyNXIy6=u|@eUNHiyx3E3kasVi4EZPaU^)9
znH3y~RuO*nRfVl(+TZoyY+;ji0JTwr%1?bxtIVaE#j2;_r3^$_9oqN~+yM#s0jO0~
zN=lfh0OB`DlrU^j1NiEzWi>%8C2*Lg8XCIrn8H{Z*m|&!(#?b#c+%2%bd<z+dNTul
zw5uqITnXZFS9gEQ+uL^()&69DI9o!yxM4x#nKXK6@iD&8fM>J(B?mi^xsE32y1FIs
zvU%=$8sAqEQJ^K;vtBx@FGyF}ZwdO|<RX%xUFdjrb`~&c2LAlH@DyI#@<sgK)N~CL
zeD6o|djWbw5Wq6QzRtMKvl{pnz~LPi7stlR8XF()4@gUxr2Gk)nRlmy>>hhlv78W)
zXbVcY=llWSH(#u?(HhwAOomm%s-WkP+n#LJvyYW6%Njf$;5K`~*EWa~2<Pwd=|`on
ztC*JI;~8<HF~WjK8Z>*dtBH}Hf3^fdP=ABhoW^K$+B77iQL4??9oA4<-Nd@TRde^7
z<1RilhgRu5QjgH_042P6`GnVs#C|ITqoLtbr*fpJDVckdD2F_>zs2ev`<h3W!J&((
zq*wv$R|!@Ar)1f~_-xoPmxPYNTpI~{y5o-sy4z}3<9nU#dR3-inxDz1YskPucD=B$
zP*+z6x&e{X0h*ZVprD|T5V*dXCg;DOxNS~Bd{tUnnyj?+OM`}&tgH^8ZUQaWe7lc_
zo7*`^@lHxkex}!lgoLQOtn46(NWgLC+M#SptOmGpKOIMj8E<~{G*a}$KG{O2;Xq89
zl>34#Nt<#Hxni$qh8CEvyVgXdcTc~`NjVyUe>dx@ez$8n;)8X(N-ct=vENbJ&<bs(
z_9!G1Y*qDitxhUx`pz+1j_f>SW8_?z$<K0tX`}~1L+)v9S?8!Tdb-V$Aso4(^Lxf|
z!S9o;#^D_2@;C%Ua-q|$6{yDu#BHmut3?rBxNHyAop4~Q)VZuX5!Z<HWO8yEF};rQ
zYC%&pI51I2VnPkYG5U!SlA@%j2(r6wLC^#S`F#!xGT56KRhb5w5rNz}Wfc`3v2U71
zihvLN!U8DgpIt`~NP`*Cn>TNs)j5`*f(hpW8IW{o4m%O=P+R;kd<Xhv7?30bLtj7{
zZo|2L{dtzEXPANK7Myq1S;nsMG+eK@L*DAiVvu$J;&*JnlwN5iR6ynau8RKg8`7l1
z?I0dFOtO-K+dy69o(q`!40zm1V-ypQ6%B-*8Phh=UF*xWRd{mi&YWoB6%DHqS6IgZ
z8os4o5!m<N?~ZZ<<!C!YFbI|?)^h_q=~mEPtG0r-&MZ4ckzb>E-HE?c{mzyDfb;<B
znBulJ;Tt4BU*CJ6+eAf01(lyckzy)<Z-Z1UVJ<E%QPD>re!m93WRT&ftFKS|;>8<n
zZ9IJZULv4~T?7KMYhW(u03pSRiHR}Q;0r@QCw^(%*5qoHI~$DQvVz<_31@?Mo6yr`
z3B#IB+tvErwB`l*uQGZ5#MQY*?wioQ2P?K?Dx%J5o-2|P1h=g^5_t08Y2itpXUQI(
zC#G%tV*!DCHzj643<#p40z)shW228XuTcdV5q8&;uK(zaWWn<O4&6aAtWA)z4dmQP
zsJ@lC?x8cjlQdp{_rrNB>51U56TK%oFg5kP8u`<=Y%4<_DPzLj-!LopSRYFxe=ty-
z6sJ)fLk~{|mk<u{KcU-4K1%35LD|GhikWr>FzbAM`}Xa`SK!~<83!*ui`yp2E94P0
zc7UyI{o%tS=%=6gxd63p2Ta==8ynz+QI(hHAiIu;h{)iw5(QH=v8Q`ief>F5Naq(6
zG@oJ#NvdH8OEi7*GB{Pmf7o)HjMyXj=>PWKn>)c>zS8IO(;tsAPqITXezlWD%%r0Y
ze^-T*^uKq(44mHLUx5PhMh@HU)a1TgljgN%n65HjD^qjY4PvFgQ`cP*2%}tKFwv&(
zgIU^}xEJ`#`FO=gvvm2?`ZM_U6w}g50dAkwH>NG!1XBx9h&XM&=slLP4(CWqrGws!
zwijL|I98aVs*^NBFxQWiQ~lCy*yw#un+?as^w~9=A6l=sdk<-Y<7tOim-rn8tC7Bk
zvJ8dzdaok{QEl9yT^<cBK9wC~GQ7^lWrpR>@L!Y+K0b=VOh*mC*GkV16FM&E^X(T~
zcYvu-JdRc2NNk#!yZ8NGVu-rJj(tsaeK(lsKhT78?4L0*w^9xB7|^ym8pL1Va?KCF
z1!v6ZjEpG|XeVb+=d>sxg0n&4=B$#SM!cq;G(O<<fS=%RPQF8nSbG%>P@Di00s+DH
zG1W~?P1pdN_kv4SnT8JtHb4aTP>z^CFtHJ`8Aim$s>sXpyYHs#bozkUog816-YER7
z;T)iyY<bZWCk5UTR-lyIO7Bly1YyD6)npz|S-ka*Qor2JiveAy`*^<X4<#nj{N|R|
zs4drQgR8PTr+RFz391Ebz8A?3GW+4a^XNy%0}+SeV%~<)B;*wSwkyJ=OUnp<>zu_@
z43QGZbWZ~HkGUpQX|@>#jpRSaZr}=<MhMkwto-zMj?cO)Yn$y2OSNNUqrU#T7j;Pb
z^b<DO=BM0AuglFnJ$dEIQj_3$<6I!35!2(#Ho=xt_JU9ziR0<n93~@eMmq#-pO^gK
zC+x&eIiaihk5d&Ils^CL;)83hm-%Ble1hmS8^ITMyBdUxA@_~<Xv{ap=OJprZH~;-
ze<X=bG=dT_o6<1WGsIZ*BvcFrQ5HY#NHkJul=LKyQLNH>wITafj~-Dtl9?QSoxX&H
z#^mH{3>1YtMiE!k<I1qeJd{)<nj|KNCf~<G6;&FB5AbN_46x)Go8!bp_-e}b^u=ac
zRv|FZG}WcJizmN4S>e6@Aht>WX{YB1$SJ{kQAsW=7#H*B@WQFpp6TN;=8ch^9#RBN
z&b^0J8&Q>-zBOr;1k626K8qr@XyfO#R#QB0=dqRX=+HJ~(gV5ehd@%#AWFlKCRlcM
z*yw(VdVAYI1Mamb_S0>C#y&gLFuTpACTk>5U!&KIA7n(SQ5%#^hc0aTyEV-C>|Yx|
z`JPL>#rqx%pQsVo|GkxYWs~_DX<fzVgoX5E0MqkbDouDPF1uYxyl9|q$i#dY<-Jb!
zav{_f?u8$&b8<!|JGnzbflb8IApV+TxO0KHRiw~ZKI=*rc5~SMXmH2Z75Z{w=NuFJ
z5|mFb=6sJm;r+!|WZoYygx_8UdKVM64M8mhKwS)^t6%THB4nkSs#l&7pCrOA1tw8Y
zcxsZhjU&d1e!u+^*TC5ALw1zBQi_FD|8v(s;2JAwxAIK$mV8m8ncs|ky%RU244cf;
z<YaegP&COC4YPUna4VX}MMv^ZGnB;X3ElNxsGV&B!yrIy-?b-Q;NYrpQ9OVUn{?k)
zeqxV(x3>Sc!AHT_P^<@NcPt@{rbAP+Z0&gd>a9VK;@;TzBaMlO(V;%nYr;P<b%U36
zOpvxRlXndcujeloSg%|soM3MV>hz=v|FW7d!;>DPHF!soqRBG$yP2kbgZ%tn;hl=|
zQuW|0I2rAgE$ms^RU(aSA*@BEQztFV{hmuOhe^JTQ^Ff^@jv(emAC#mcls5&AeR)V
zt^NWFu*lhOF0|^(XLh4Mz&{EI2!Ls_#<F9-5(4~xe(;n2z(&{u67w!{bPVYwE2kf+
zJ|`RGZJC|RMH7e=_a~JvJ-e^@J{<Tlal9|r>S8*%u6@6D@qvkfLkrsf%l&5YH5-O3
zPU7;l%+`yA=~Q&M0@|<GSK5;TIi2#OE@Yh-Z;bspB<rtVuIE}B=cM@lhDN&x*DZNO
zX(D3{hr`u!JeCMY<NVQ9-l2z7OFay=maJ(KgD8j2Uo=pl*Zyj)zW-N67Qa}q(9G!?
z-bVzP#krLe6w%MUsjt){1wBcchS~k$rQ7qNyD6gP)ZVEdqh5T<)t!(n-Lu%kcn<lP
z{`Mw0J-yNA>iy=QKz1gko1NmEPhjp?VI))uz59xbD=|p|THqLN)pi0yxM>+C%mN;>
zWH4YEKat%dkeqUwrtkOP4$iewfeI|Nc*I?36E;inBUInA6_hUAkCZObCdV}ag2FN7
zl#5iTOZ?a7TVePpSU2^Pc1WCHlh;3e*dIb(vZP$LzlWa!et+SbM^P%i24vdgBHM}t
zO0+LP8LzJfWLMp`u^^%y<Si}0K2Wdgic?HZnQebfrN7WZsNBI`I{mK}05hPRmhW4r
z-h%1q^@_t>@J(qkKS!HbBm6h98H>rT`D@*t859>r#1o7*aN?1v3gBc$d{)p1(f!@M
z)HK6?Z`LmGREfX)yUm@UsvsyFX<Zd2I}GaRYl($xkVuZMa(j=-!(qoD%0r>$U>b0l
zk^;LpxETaJ4u6wfudS_tSgBT-Xae^3b4^eZJu4G{XuhzhXc4qu%26CZAG0h5zBm~f
znbFbFXRoQEBFZ$ytLp8a&(&YScUa7p0%4y7q*El367?7#26ng-LhNG?;>k*(>+#Lq
z*K29Jg2@yg)Adn{2EOO#NDQ3}6^rT3gk2Py=l)=7Y?!u;>*U5rN)VnjhjyA6@bHuI
z5AfMsE3zc-O+NCA{4Us`jKPK%^rmZr<(DyG>N-t7!8;C)HNMA`gxflSCevROfgj7s
z-Z(79cGVq_x|@3;@VxTmBK0RH-ytt^Gz%Dp`Mfl_6|nyIN*T!%fw}J3uA8ErNCI7;
zy+r8ibmxVOT^X)m#1kr8J>}6+K$)=VXI~CzDjbd#VLl1N{?#(rl{v;rsvO47|A)P|
zaI3Oi+J{9zkT&S<mXeYZ5K&SI=|<^P8cFFEB~(BVK{^EKP6Y)NB}7<+phzr0U{Q;2
zZhiLtz59LN-}n6kABV@@htI<U>%Q)5X3jb1oEbU4!|MUkGPvQVT6cJU!=emG3<yBA
zCJz(dXMzp{+1b19q3+(j`|0CHz=OY`@{qANoi1cCU16bsRT&Xf@R+*-!&uv(BL?yb
z_%B?BpDRM{_T2Uc5_0S5M2K2+qf^xPno7%0yzvysdmfD`<DV|QU*8tlcvAErc8n}C
z{+?iGUv$I@2@6(Mo`AV!$9tG;-OKW~mzTl9)0>uDE|uqRu+|R^;n=8o>^_tf$OyYa
z?W-=0dNuoaAz|={;zq+5A=;BvMOB3nhe<%?!Uw0WcjVNi6276d&vXuHE0-_-LYZ<C
zB;HnPJK1!hp1X9-%Q6_n%$9SWN%$v;kg?oST;U1WU!<9){VqCN*p0y5G@LhRLE`~R
zfWw<r+9w3lwv4%pitwILA;_t}WS6`ng9adC5A%GHn{{}2h-9Ral9Fs}dH&nWg2pwz
zpvEE~XBwp87ZfbJRW=EOYrDF-_NZ0r4q;m2b!~08&&vwx#tjV((4_zBR@oB)+R<br
zA?+n4YrY`ReBM0rho{qLA@5~du@0>pr8xL9icj)lx_*(Lsz1A)zR7+q@T=w_(Yht-
zpk}{YhKAFGag@&4WuftOMs?gl8tOe4g?wsUVT*vkM88)3xSFFR{S`UCcTSQdYHdXF
zrn08w83atFh9T)KzLF>EQa+2H*QI}_&V(sCafmY){Vhp7ERMy~Dcpt7f8J8cXW<+*
z<)(|@_Ny~(Y&p{e26*jyDV9zH;VP!Q^RFygy6HAg-xze~<sOYsOuWVO`!Rqv=$XG&
zVcr76kK(J~eB$Hdp<TJJua6wokW^N>!whNtVm%zUo;cUNk1y55L`C7dNz;`6fV9i9
zN<&F`8!qk}gbc?PL8sLMo90x<y1Uvpf4%TE&c?+G6ovN=#H7>Q8z9r;36q^&;qL#{
zF_$!R+gHkHEoiV!_43b8!kD{EOwGP?dK|&BjXJVnntksH)+54vOuti{uwD>k%2vK#
zqaXP76z<qv%-x%X7jPv%b=&c2o6ecYYop1qPtdQMFuENmUZ;tQO7}sUq=<Ir!%bnI
z<YsT_y<OsaHE59~0Tzp!r-GY47opnGKM!$Ymg*GiIefom`QTQ0VDy9vacv(@g)WhC
z7>cYFY~Ca(?~CbAS8a|=NvCe;t|i|ymGfO?mi;O;V`lf*G&O~qtDREWowe7=Ht1YM
zgRs<8%UA$G&~&pOkhCH`&FKP04^vXA96$3V_1%TzQ)Rw?Q9%K;M0@cfwYY9;(?TY1
zN+FSpw6eW@8`fq9pX3au`;)Xq%b+*4<!SC}Wob}q5aXFsFJToj-Z1`b@N0SH(BYRR
zl(nBKTU4FL*f&J?ZcW78%Cb6e!bjia8}q2EVEC!HvFBG>r$cw?o-#J5y-ZwQx7?B0
z*4HufpuL<deZGCZ)-sk0`z4VCpRY6LMLo&8nZgd@lBr)OZ2ZG%7dtBYy(n79%rE9F
zbqHJL@psDc1f~&rb-Rgg_SkTd5FAF&W0_`F@Lw>!S}%`d-ehK}?5Vfl$hJo<F}8mi
z!3sE{47$Eogrtlw6b|ymJbdxtOg~POh=nUf*QYQX_Jz+E+zFWQNXGhd>H{%h`kqWo
z6Am4m4(?vzlGPC`-j*nTzfb0+;mwY3AE=(Vn!Cgm9v3g6l6#D7g9aXsj9y~!(C+5V
zo6tf32FA4%XwrW&V+NCi%L=K3MWGhsT6<w(p^!!EAq?|^0<5N%7IveLnbroX*E9-2
zhoC7`S66p~-G<00deOHi*gF>HE`Goz8~Ag4_8pd5HuUr<q1lIXZ)9m~O-_+m_wBlL
zGh5cCKG*t4%*2mR`OaL<S3T!gAVx^1`3+|Ew<Y=M#i3Aq1+mWrQf!RTlM^RiNSwM^
zu!}N|dMKuendlH;X-o3YQu*#<B%DI&E2_fi&LoR};_6r`Kko-iRD}DUaOM8hn)>b&
zA9|M$iI+pH7({S$p6wGex6(6=p;mISEy>ymp<T>_zfPHRqSO_v57?D!_Qmk7EYZqd
z3)65d{xDPiL1kTBA#Z9{#e%WfmV1fpM$;qn*Gik@e!M80053_ZS#r9-cb4=0243B?
zm$OjexO6>Dc^L0L&W;8x#wX@iTy14G+s|F=M`Gz#U<p&7&yn57M`J%bw$OpqR2Gjf
zFLdoJHye>mhVFif7+zyyXMDrr`LQ&2TE$@9H8doODaGyCvZUU|=PT2hXL9sHsC7*P
z0+a?sK$bxrj5%4FyE8)I`i}LJ&xX$pua6FQc*&b9eC3w&b^_ZItQ#2Hd(M{+cRtJ<
zyRhI?;G+Oyb)S%q${o*1;fl4?sem5Gl5f(L#mhXu9q*O-zSAwaltdT4)2ou~D)@>b
zSXgyB@l^0gcOsvv^|^G+-tsA_mmw}}s<{MXoE_`M=dQ<E%%&giRi}@=B%%#G?_U|Y
zIkwu5tIfiSWLWRP)9<m=x`(9V7HlalcjPoKO;aC_oE%yRAHZ8SuoEeGRH`b=&XPm$
z$!m-{m?g9ALdepDt;ix--Hoeb4t^BFS*aG)UXKS{aI|evb=awpl3P?OQm2L#PpO@d
zDZZ5OY#-C;k4tp%TyrIn>+P+x9lH)U8dlgtWgg7E3zL;wzBF%X#d>wsE-dOWMP9)$
z7K2%sB{8oW`F=V);f1+}@>=`6vT+D;R=-X=n!u8`nuEsl^3hlB0@@{~>vKbLQFVow
zCSC$Ay*9q+ka;Do6L0yXV~0{ytHzHo_yHot&jLAdo<&?)kihXleO|vgClVA?m4kcX
zO|ejylMhOcN!!`k`7xiqwY4>ucDAf#`-!bBAe|8E5*U?%cRFP^LKtMcOQBH<!sDok
ze&3%{OQ7lgz&jdc+3}u$OrC`TD=0WVRC5rHpG3#ZPqvrF%T)V$lMvlxV#!0W*YiQC
z>~aLkMS1&+MaWirTsh$k(W#*)o077%pI)w6nx{V-O}gx=Jv>4*SbfIgfWnM05i`jb
zc~0_-&$kYhtJ@|*2L0P8pWe|i|DK)SOV|eR6DayNXWshc+_h&YqLgNeF07=rglb~#
zsmS$P+;gxF*x+kX(TSvps1h;<94@6L-BcRh%kreG*-LW+l9+<j?P#aVC_i6wmucx1
ztY~pgk-}1LyM_LqV4Na7#xe(QOmkrvS7Ur&mYgsrCRuxZatom-K*+(x&0PWO+Ms|7
zUHN*pwj4I4(Ber;OFL#BP-Z|X3W*Qi?1|^N72m@3E8d4I#z-yGY@4g6_?UJCsxM>A
zC*4HD*BF8dZw9HHSno5AZn4AJ?xOVZ8eP{mHrH_ZR;JQ=EwqWpx-aeEG5yX`iv;7x
zz{9(GLt@xLrR9T<%iqsdtjURX(*=LRS5ArP_qtK>H2M{}SGdg5W_D$?zlAZ$uwauN
zO57pPREJpGRK4KzVVG9Pn787ucAE9TUHzjH+m71Bkb|w|2(2?-aeKNVUNtIcf@@dI
ztItr6Vt(MJW|kzimLyfg^>fQKU-<bh`u&9^f%5^xk~s0AgpsxB)VkfI-tM8=<`=sy
z)T?-j<jyf*9zJ~7-{0RAMK0+)js{;l)ZcFp^fmBx1)5KH{ukh`cJt;4ke)DInU;xZ
z8kjlhyNklTR2NJ!hg(D392`@yUKt6ZkUS~kofl4EP$1`OB@NLkCBaY%yTt5|(y9io
zrp~DL5bmH<G_m{9Z7d<O?S6ZvJ_L&U4xvU@PMk*Hq72Hp!lX9Ylx*N8dm`b5{Jr+(
zER|gX+jxJOWV18F^nF5XAxq1j?MN34cP%~g++Iwps7hr0m>$@x^O7?~C*<IoPxZ`n
zrN3Z`Cg5rBxz(zN!<DA$pTDeo;<*I}lfmNk0}KN{2&3C%2mCD`uKtXDkfgfy$};D?
zoS#>EGBtbqvlO<?no|W?)bv*dM)AzK@q}sy^lwjpxzWBw#vuHQU_EE~iqCS6`hhnJ
zHlm@Y1J+%}(W>{3oXU+F?>Us*D${x<H3F3qx7Ix_R@PZqbVGm9{)V^r4s2ez1X3=T
z;{8Cx8!Q#p1}=X8{xUxwkc7DF6b9M?O<Dt`{~q5+sDbM5@96jD8;wnuE-}(*rU&Db
z_>eSS)XIt?kYuh2V8mMfDzXed!C!#gpkidg_VTvn8sla@zWgnF`B=Yj?9MdXK3mdr
zr=;c(iz}CddJ-u}HlLP{n_vbwv2up;hrFj6Dk-j!Pc1Ele0VJz>MQ<EX$?1VlK8Q*
zyU0D%#qDJhZLeOwhR>z0F2dxpGY)#Hq{+KCGwYHqS*Sh;^dI4r7XPsG#NB&MQS!d!
zMrAQfQ4V<cCYvR>YeZ~z))=F5>mY5}ulLs(;f6QM2V8T~?%0s-ihhT$pEqVR>mK-3
z2dsDnK}R%uDmHB3-10Ck+j1%1^45)JYwwlzzTRFcYHDQr9PD3Q`%?CFPud5iu(y!<
z`}gl#Wmqwz?~99T<5lzhDeN%%TU%ZI7ibFs2Lo3O01lQ-<p86eA(EDr^=B;`>U0<(
z&ocY(xkX$b6^xaoaL3azId2Y>pDfdB%_(0vfi~y3v8hgm{G@z-dI?|m%l8e>l;Zjj
zcbGU%N(O8c8Vat6NqNoc-q$lEZB>X4kHD39;oWBTWo6s(bYCZb{rzofkFIUY1~Qa)
zBhA2*CjI{WPnNvPTV&=*GvNXDmLm*%gJp!06tesIt?dGFRcgHvE3cv-k9;KUE(&>Z
zUxBub>y^AFMaJ#hm6}rhroS=S1?9LjB-$+tc>9MaKZ5co?HJT;o-++(bM>bPo-~&e
zWS?mt%A>lYw9R)q<5pyNp!%7cg=c27rV?4ap=rhCWByyD-3gLQIDo$HZsCql3%H$E
zul6o~F5wT{05TrghW_p`KQfjJW|MgV^@|MM0(l&b4NyWqCth>^xrvX=_LeTBr8(&l
zMsnb+=iKcU7CUqyzc&&?acYoSvz|gymUoRl`k=}+q^-0>`&L{K7tPn0aA(LRiP1af
z3vVaZ$CbPKnKK8;naDbD#>JpD?+n{+@K;y#CoK!ls$TgPiMhlQz-Xx4V53)%Ja)_3
zrNNrbRA<cnMqP$KC*u|G5L~f<=x>JVF?mX8oVWKsy4*c~_V7_2QzdrzjTLkk9}>#h
zAc!3I6bX%tw*YvyzlowhEI);sr8o&Y3@FhK-q$rZH!m};g^)=^ObjNOoRbs0x$qXI
zUSVO;XR&$9J}f{%hL=2q1o6t{5vWYjV7WS;kBMKMetxSv3vc4ri5chiT?a{u6*mLN
z%hXDOv=3J)HeXp(?}>)`TF_ky+Ba`XHm#8w-}_Eod-g_dMEQ?M*TG*b;B}n7Sdw=1
zEn!n$-9J6l85`ogVv>GdTQqFI&~fyDITU9?3WZI;_l=vN?oJfhnNLz6qq}Gi)ia3Z
z^JKC%&RvnDFmO)c{{B4&ho7)^bRRxvxpD0>jCQb&f1I9<EaZG~HNiSw(6rvYH=Y)$
zxmmPfVeA(|w6HzLYr<VOwqP_hst-gh#;tFx1&h>%(3{H%wvSoYI~5-Ne3c$>ftleM
zQM;K11-7?znwvl-hJokNX}kFjvI1{YK}_S0G}=;<ioffd*G55OeBf)dE32!hvH2BT
z*%VgnV&kl3B8j0()r;b&{6M-+r-K3Po3S$I*6_0Fk9{xhOBotoLFp1{w?<cx<cM`W
z_36HqGEDl1W~-4w2ep>H6T%5<{DCnrq{R|*++k{cW_IQzu5@|2*yaQF9fGy@o8jLz
zd^_;9^VpJt!&@)x3ie#PiE@?w=trgSNVzoT>P7~yC03Ba?=yL6xNjtbUs*_9I20Pb
z@uAu3j344+3B%Mm`g6E%vXb|6PtFYuF`TVvTfvdXv$F75HXtL8;zIutvOG@`oXv~f
zjF#PFAs{TtKiJ6IyB{=6vEdu`>;ccEOU5?|I&b{}+w7On%bGOe*ub%0A6pgdC#c-N
zo{H8rVX&0J`$<)!yB_?8N)r>iLghH4hv(zegU38&@tv%)-ul%}o%CFZLdKy{Lf|%I
z^MPO|`QTPFhqa-ubg{w@*%I=l0J+BXUxa5{@TdDxFQIkdQ814&pPR7pE7objn(ZZ>
zo6o`zmR(=r5(L(xwnZw5--?{c;G#CW;@#Qd#7L!v!;C|dFcWrjvwbXxAiMn!HT2{J
zb1wBvjucg3kZg58Ot3ziY8(q;LP$(UjfM~=T6cLa+3u&J+#FX~gbW%RVtTdPVue6*
z6*qjp-qZe=ufeKpN{Ml*ve`A4j7sU{t22*T$VXod)UrpLL34YtUXeBSF5J|cH`|G>
zIXD#c&GQQUK6~kb$j*OI%nsAd4bzjCi2uCu3+B!J1V!{|b*IBvlui?yxXdXP?w{iI
zUA)Bzn>z|F^uApp+UOgjeA063l;8JkeNQ{XvMGHQp`CDG+R|CtN{E94%>rX_3_>e_
zqEibAG2seSt2&V(b~epa;p-vpJ(S|YOMa6V!~E?s=*-MaO%Rqs?G<nh^7h!=@d7Ah
z6g)mp$aZp}D@?IdcpdC*1@%_A1lsoNILjwz)LJ9&+F|z`9H|+D$)<8x^c@8>1}vAw
z8|0}@(b06Cz{@$(D$jNLbTxVak0IDqJ+z8M3d3EVIPjd`DC;l|RZCpdr(&rih!V=>
zp-?t<_jM*VW2G6LcS`dZHi&SvC1|awxd??~==7I!M_qPxT^kT;n<_Jr{1nOz$u3we
zB)iC3D^OY;!T<{pRqVot2bUo1IQr_xj~~#u`9$sP*|UEh=lS?@JNu`$ugg_<KS@_v
zI&(s{P)T(WEc#QkXL3Y6nTL)-AH}eQwY3@?=xT3~GbLr|pY2Xm4{N<dz(Bpsu_Z_D
zTn=KX+b<tV(uCg|{o$FN@;d53GE?O+^X$d|XMfxj8&t%nw;H$|Sc}W|`{OgNgjhVN
za_=%_H0b=YB8XB?sc4}#eSE^^?mKdPJs#^BM&G2qbM*8kwT}9|hTw4T+_~f6;Be(i
zH|%ry`0?Y;`pgWVa)?X@Wya!cY;!M?<moQm`vK9&0>-Y8(n|>Uii(O-2^v4j&c=ee
z<QT3JRLcvDfoKUMyy*Hhbc`ut`l#Mf;ZtXmzz<m`p$|u>oEOa&vyt8>exbIN_kufg
zNy?WO*p_3B46*YTv$@}zKNx!k_<wt*x1P(o?l%8I!|5&2&+W>PLjeW`YAXNIgY@Gm
z1ro)R%yxP>^=v01?;23&l0_EEU-R6f2x0&I^5siluzPxX3Jh`pIj5wIfIc)MBLg^a
zG#V{t_o2plVspI8rr<EkXL@gY%);*W?OOYhFn%QQioX298`aZu2YcZa*_A>qPkt<h
z@~F9>)5k3AV5TdKP;x;Jw@IY0GwW*bM_SQYPnO_g-Ld3kk5!h(jJ_r_J)f6m_oC(|
z^jhb7?JT*TokZO~E6eyoi+xvtGSzxCoS1@Y)6K|GZ<C<niDIGpO#+4R1dl7KDcllE
zeRADzZ;fRVi!VPQd)6Lr>TZgb*mx3u`BbR{Gkc(#-SA^KVdV$Wf$3@n^REJg#wkDh
zoTJ-ycEjfK*Ol+@N(z$&LM<QqifP|Np!5duf)&^jh7r@**}1T=5Egc_*U-bmBZ`cX
zh=>TgHxvxOHs+sao{wbo-7t927Cju}({%dn3(_Fhi3abecLrzzRY6lu_p+_Q(}Q>Q
z>`ZlM<nfP)h+oBZ&1mWuYU9pe{P@I$xzYkdsRn}+HPnWNlg^qFcjd4EBuMLvVt(4V
z^U}=Agmk59vzq!-decT5^L~(_1{uzYAcJo=y}WFQF`sM%^DC&SMMq^WF2{OA+)r9-
z*P|r=(XM*s${@7vz#ixQy`>x=+hJdf0bJAJ&|p~2XJcbSKuUKHQI1VFPt0#*sQodp
zVZ7c@)qPyH@@>)!%7=c(U2V}US)?9Y4+utQjcUW4zD0fQB(?f6Cf-cn&e=0CzI^po
zTU?Vu`GZMY6YYrprYviZL!C=Qi65Rnt-%<03lp_~^S@{msJPThS|2e0g#^6qY9+F1
z$*#VDdBNUuH%dwpf~S^!)8=Y==U;Acl8<=rJ*tg3_=sUDx&M>s&}%W|>xkt7zW8KG
znf&YLtqCU^9|fwN87hn3l8EwAX`Q%mN0lI@kgJm3DT#_VYz2)XYu-1+A@t>Y@N|gM
zeEV2lb@UqnUw+D0kZ8e59XX~UV9Ogo+YR#>wR7aN2&zg@?Lc%o13rRMMSOI02284j
z;mc{jj%H`KLNERc)g;&zE-5X&2YnHvCRPN02?ly^)ai7anV<rL-RZHe9E@1qas?{I
ziIDI7k;||uTWN0V!`R^Ghu^CDo`&y5QMvBEdd*xidp}0#T9ukVu}=v`q8=k(cJ<q@
z8s@q$wMW0Ox7mZy{#G5#C#UZ9N8d9qQ(nZwNxuiNuKyy=91$^d49Y!iOdz8&@dep*
zfw}*=p*D1vfG>f0>of=^LJH9f!p{ax0yPu;SG#_B@<oy3tls=_8%;ZZLGn)^pHISd
z`$g;Q&TAZWW}{L3%$17!C?Q&c=AKv|e8J|c>`4u$PHkglF>RKuY!iVSN8~>%W3=YW
z(=Ce7ZF51y^{2ZO7UUm7odU&nGKhI7r{;3?*)!X3ZM`_87hTRD%m*$TztkC1)Vj;r
zIWyT|`2iz~?oYR=eQAD>uW<0S`YctlC6BqmuLa*pbEoe^L=lZ+8>%N<XHVVP(>~Y;
zFd5n!kXN8F*II2iG2A{^_xyW@_3Xz75jJ$bP`h}`J>7E3C^<>O(9nm4U|R9d0|7GW
zzx#U1riz`7Y_sy{Nr7ZWaEOq|oVwNH(0P8I^T+8GB5_M|QkKgGLF&xRx9Lt#w>|XP
zLl=!Pa0nZHk#79r8c14yyYHKp;M&WGcr`X0!U#%BpATfVh3d`JL=sI5_?oie3D4X*
z!uOjCjSN|<-9_<D$LH4P6h%~xE)U4g+c_QhPbnX&%(r~VnerX{`n%kFNx;;|U`Y%&
z$s+Xnr0r-5ouGhdu}x2v+80A<&oF)B4HmClvPJIBl7yiIYH+rAOn(`5vgQh*AC^1@
z@OqA7akJ}j&F&G`tt<dR)z3+RwtL)`7<Yk|z?AE9BO8@Y{cK&#in75Xec{ReS@MT0
zPK3P-WE#$XyHV-HB*t14hRR31z=fsTaU4=qQsfgg4A`;CgcG(cRCuFYG|zMAuvXi+
zRwYXfdz?)5$8FOH>25W}{c^%axnG2<`GS7`04ZkH*~*APc29`>`gSaR{hi#SzR^UU
z-*b!@V3RUCmNY@E{sr14Krj<FBgn(!iwY%>aGPeJqWS{cUSPFRPoGnHcF7-!$opnN
zzrt9x!!fbB{Zos~v~5g1(IQs-2Q7#Ghh0w}I%Nijtdq_#%f=Lu7@Q1JIcm$ro7Taa
zwwL%YbIio;UBLWECD{HRJmAD^%~Roawb=#haopi|sEpM)=`VlS%YIyLIMt!udP9%C
zl=b*sju=xa=U#R(X1c5FR9ollFI5dG%FZ_aFN)<PHY+n(O;3YsrqNk*{MJ1SbjBwx
z5(VmPzNTm+c2(UXrCqxo>(jPZ!(#l7RL@7kJXWgCz1#8bQf8Y--1`rz$qMHpq<)5e
zUOXB2S!ZQod4&7v;Dc{&?xyZn)EiDn;rXsp@^>9@s0Pk2iJcCvZx$t49%8X(M8D~O
ziH;3jB~R--V|TOl5__D8TMPc71@UTo)Wb>JS|u6O<ApfIyqB9oO&9@8^7)n<4YWNe
z#EEgg8~ffXw1>J`No`exBxO@`o990~I7NL9h!8I-f^^v>_Tb5kVe7dFZ(GK8kB&CB
za^0={kTl~EY8O?CCZd}^R7S}HL4^i;7e`@ddzUbzQms%^g@u+mc4j&{XV09;t?ML1
zYGn0vW2dTKv|Q=CDYQDkR2!jtVsbt-j)2*AX3&Xu?z&B4v-D}EiW|FzwJ(DTBGcA6
z!$hjO!zZTvZmGiDp$7qD)&gva5q;cl$zg8?I~bkUDq<@>STZP*iBg>yuVh<3SGN2<
zcsnf%A02w?a4&Y>pO7X-d3uRpy>GwaezCl$U{rEVGOmWqa>_5t%5ePop_gOIj+=)p
zy^%MLr$P#q1fD%+6dV7S7T{zhMXJug2D3tiOwmSRWV2OIkI(j=Xz(Sw6PxW~|C6Yz
z`q@rSD{2e9Z`4BO&VY|$Y|4ulFM2APq5BGWto`4gfLVdzHS@<ib#1HTRqTR-tJ4Ac
zzsfrB|G@YuRQo{DEfAFAPyg0!+coUBC?-?FZHzd)tu)BlRae}NzkZ@`h`2Xh+AKsU
zBCl_5$TPe=^6^Yg_n7A1N>%iwampVZY+YnUsaoMbVr%gB4f-D}hYrPu99}vuALo{y
ztMZ$`BPKR!oW^vd2Q0|)LXntUHoB3qdCrMKN+DRNCS>RlPUM-|WT#=$SKLD^vEuxB
z`~uO3&pV1f=UgB9MORg7%DAtJCwu9E>Etb&C|u_M1f{?TsHv&lx^-*5H-R}|rRw`Y
z`ctw%MMXs=rIR+!pqSBoa?$Vi$Z@OiqqH>dwJARsSFRjICjO}(Dpk!e_`|<sSqdSK
z6)FDyNn~AbN94~CPK}y<MQj9QWSXEqr~p?1ra9mfQ_)0vKu8@O9i4c6e0Q;=xj7J2
zbx;=rDmuOjkTK*_X7Jz1%F3b_$JO);`7i(TgW<;?_Xv{&d1M_|`E4!kP6r76ht{+K
zjY}?j!`vL36nq%&6dfB&B)6U=LKVh!=HH*K15xM(9d7hNkQeKfKR#3t+0x3E&CJN4
zVP>{4H*d9ldv;5?OZaLcgCCSTVX#|dexEtcB_-{De+H?m5f?oH|EXzc0L?H9LJ;6E
zZ?y#-K{bY1*0-{z<~OpJ(0x`3$`eXTosgz1zJIz499}_w{%D28%;7#D<6}Tx>1k>H
zve})TO1G;NPa{0jzkbIVya!lX+%OixfBq2SAYtuae~)GfK@@8L`a9vt|Nmcx5uPlD
zv3$f@W1%dBy)-g@o3@aa3k0`-j1#VtV<xX|L5<5-2~p8%(NGYue=aeA>F=*$9<PXq
z$n!xctb)zc+Hgbr2slEJ6v#3qjV=2L(kX*=+_|$T)OH9uc3oi3=)@ga+M*p8BJ#yk
zMb1-EF-d!Nmq-lW-H6p>92|=Zt9uDrdH7O$%(oeA^t#8%iQQ$RP~lZmUZ*W>Pe%0(
zW!sTAJBBLrmglo&{Y3fsouH#0QHx)@maM-w>5}~3-p_n9R{KaXbS!NaGkN#kwqYRW
z#+&iofKXa|WB<|!Pkz)=#>d18E-|<J&i%=(K2si1nCqZCU28p9BZ@G_w4f*JTF9s@
z2DXd(=9qKRW=uQ1Xz!y!le>e{sWdPp9WBHP<dAV}JD$7-^%vRVNE1~u|i9tlXT
zVK*CHWEG4JfqUHxUp+mX92`K;>))sc{S(Yi66=Kl`BhG17q-SEMMYuQ`QtCK@}LfQ
zb@RpK8y6Yp@k-E#Z*@UdI9cmtaKrG%4R;tyDb`zjtIW9Mmf)5_8{lhveEctT1iUel
zv<?Hg%2AE?e(Jz}YFe>7r50`S^77dt-q6>xw6LIeBRcQ`Mq+fj15J+apnmmgq){Dc
zut-2?4oiR`Z%&k1lY$MG;wI>_gc|%A=F1Crx}U}~=wj&D;=WAVY$Svm_=1K3;+sj}
z`fp!Z*dkZL63KkB|4uhK&Vp3WE<wJM?Ep#>`QFFfU-OQ3Pf8Qj>>3{aP@W8{V8y1Z
z1Q>MhigXD>w}Z~?xuibb*>el+ed%!w0+`bT6E+)3+6QhIW+f0StZSz^7_h*eJ$LRC
z97fym(K;lBox#+BOP9;1fX3vPlpGU|hkY%`P<U880J86M+*&JeO!yH{c2d{Yo&k2C
zi(DZPCLuS2JRZIW2K`=zJ5ok@1bQe_j~>d3)_q5aSHRv@0^|G683yDG3)UfPV$(J^
zJ-dWqe*~<9@r1dyQ!q^D--rBMF&w!euoZ|6POSrEjAL!sT4(`>0kFU}l!hrS-0i5#
z-64w%=DB7<V*|G%(n{l*lnA6ZaAlAN7x>M~a4(Er<IhZ9GeIBWTyedcqtP4Bn{$e{
zz<yPZYDUU80$AE#leNE)5t-1H53Efaj6sN_7AglS_F%ouqQiE9;<5yL5Ftw+Z>s_e
zC7a19x9T0HxC)MGs?|2?{+rKR`sP%bKT-vfZnOzZHnCMF-3NyaMKurbrhO;jqd3E`
zuG<kAp|E)y(-HQ}Jz0+G7*lh+c-A!>QA7|gYWPD_9$0mq!zV6T*+b|<fccU`{H5P+
zRp9N}!3_Rd7`O~2g7-(^Pz*iX|5dSA^C2cSR@C6V)95P??4jSE>kHn4h-iKeQY>Q9
zE-9Zi2Ah@62;#@r+2UMBUyT46HQ0s}5c2c$j}CUjD+s}vz{1W7v=u~8*jHF4PNs9#
zP4r_LykFR!(3YRiap{sjoX=tuw18Z{ex33>TMlt6X|0d&f^x^#P7AJb7)=1rH+U#4
zCiWUOWq)z*sFQ$`2!;cjwq3~R9HTI*fwOXBXzm10!~o9c@Bp(hUvN4n80!ac#WuCY
zn?6u%F6xBmv$+FY9oFjGXfCJqDva8k%Lq0glmUM-Kp^P11G6s1f@;<5%tW8gpD#9c
zc3tdqK=APAXf}%Za)dd7e5>2RMML3pWYvfp*#S4=g2={PLx=LY5Jk$Rd-nJ4-LtmN
z<GBSBt)Rqr@agzAR8TgD9F2@79`Wje!Bj&S+)4$V8jKUG2{Qz1fKs7cm#{I+wf6dT
zYpV;Ck{7{YgxP{`h0Ng&P4CDHRa%?H*>Y%_cx$(utfH!_8mC~4TzXGWWO(Rp6Y%Jd
zv$D))yMT<*=b@XCx^}(!?KKl{+i;a{OArP>mHt!Vw#AR=UkY<mUS%ZNyMca#Mn=E6
zgXJ`Pz_*r8gt@uo3u3S#&R3h?_KQSRuvY)Q!t$D$ho#8v0SmLFxeD(xLXE8{A=LHi
zA;slHU3eLMSKg3J+roXfxSr!Ya_~Qob*7J`iw2(f(CRjkCLcWp<9VM^VA+%OUQ&;O
z{AydngRe;bGo=*KFueeBTzFJUh3lG{0DC;}MS6HQfEDzC?Ko~Tt$u!fsDn@7iHi*?
z<e?8C<{UQ{Cua+04)*9^tO2rdYd+Ca^n{7c&_kRd?)2ro<jfQ#TF6`nxMWb-M!HPO
zD52lhpu(h1>u>?2zFJyZX)fSuHNY3zeR!7n_%UJ+rKP2io{76m-dh>3`j^{Khi`d*
zE)w99Wcn&;SO13(5;J$MBoE=wL{7@kZ04d|tl|@x<o2O%3k~5+Gan})olsH=`?otz
zejhD4(f#W`uCB~ly$yU~=+Fet`~bEvy}w%s<+h>~7yT=15~mtzH<V9EYi%6i6j4lw
z`li<I{t1Eh$1Rr=Pr|7y?AIjm9ty?nl>cyIo;QWIy!`wtSO#hI#`ie_V$V*+9mB)<
zPuQpG^`uA&E!f@HM@>x~K#6QkF4iyM3p6w~ev*=MbHV`TAc7Tt0oMp4{Lx1a;DeEB
z*?hr+hzI}>%Rpm_tXszb$@hEt^RIXO70-a=1o!=(<pKyVlf%!l#xVg`Z2?P=h?wO;
zPrk{obp85USa&pBX{8(#S8df5Db$Qsig;m<=~Yyl)4V#l35}R8Q}tD0<FM@%5cQpF
zmf8Qu2W%RILjA4x&>e;oLgBaO4smO3${W-HZZ+)&*WFPYA`8F|lL4i(>deY~g98J<
zV2b`8%C&y>lvwu|z)ZWr4AxlI|J!A47Mu(gLch4|meiA8a$jRM*r>)wC1-ye+Vmhr
zccww=qBhpn5V!|XE^PgwNkY`phUjx-L0pRR^7;7@vl{gegq3OSAFxCxTS22AQgDOu
z0Q>_^o^V^C+z)8sN#@OF9dmQnJ7F7bKZpP!!9NQ-)&~r*HYF{V&3E;&IhyP4`8Uyy
zv^KM|v#8_!eN*)J<&(!ZN+<HDy_^n4I|P0cn6dOd(iE?G(Z_e0@8S@Rq~qu{^;|ad
zrz4xq`S+iN5ee4B?_|%{_ObE*Oci{CHRrh+S|)c(Za>+ODIW;J68_>M2shZH19%+p
z@E4(j6P7E1d)Qve3I6huIlQ+cY^4g*w-gC(jqFe8)-^TN5OcfzKw}<7y1^%X``sg$
z%0al581bl^|DJS2L<As~#R)C5hplsZNuS3%R+Ixq93!Z*MXMv%++0@0NfL@^q{sFq
z?>0*$dPlU*>01Ha59VuYn{S{G(UR!%LoiQSs7AvqAaE^c2!`O>#>&kOU?1^rvBV?7
zgb`KD0}EnbJjHQM4-b($WBxlU6X07rd9J8A8rZ9juzr%drhNHr)>&kR4N#9DLou3d
z0{7PmkSM>fu+C}B6@#9QB4?IRX!hO6YxW9xG+Hjq&Arr1?^bG1F%2Ux;p^PFbI6nt
zI1%W)BO=;(D2n}U*!&iIepQ>GEB#lY;AGV6(&3!K_=?;E6O#ba4Wgqem4m~OoL`4O
zr7h>}4G8Ck4v`5w)zzZChM<T6p$ue|@D;F><@3a2OmIBRAUfSPzNfDb{A~arL};&#
zPE3?YDh&|NR7^ORF)`jTTl&qm6Cv!PpK~ZESRC4!nwkO*6|wl|VXuYdc?jHnd__^Q
zBSCW7_p`o%QEE4TAe4JSzYDt%e3q7$z=LE*F{b$_BtM*_g!u6W;0Xj+NMrlJ8tP!p
z762SS*=%IYN|;h}e!PM<Euf9OBOHM-ZIeS@x)=rR2}K5HmsN~S+|C}3!kELlbm-4m
zEJ+%)e?5BiNVpdnu(#fN;0k@c1L;CTA3kJDd069L&lmKK@V(wUZj&VE4SNMh0guYb
zWr?I^X7Vb?Q#5#-6r*o)+$8zv@W8V4VdZB~12F|^8FvW-_&P<#fC0S$j10$bEe`D~
z?DY`yRZf10u^oUnsk9msR?FXQce7WW4Xm#Dt^dIG^|Pk|8>z5UIt~@DV!wPbS6+=o
zxs1pwpq4J#4s}SveY=JxqP?Un^^vL>o)W3&1E=42JpIOnzFM5``F)8m<~2K5)bqCw
za`bBb?uW1tGW&jiY%u6v@C*t$O>2!XwgYN8u*(U=)KrX&a)B7+eztW|E0YJ#*E2M;
z(!3oU9E5JglHg-3f&-ITm1z(ICZ)TWJcdbm=o<kuD*}*c(S}SB($V<{?07{R)>s0M
zx5&&2zL0YKtui`h=ArN4iGvO?9s>`3g_FqLs;52gKki1Q!nG5-nyal%Yosh=8~~|J
z9F^c%1qj4LFjlKu8(mh`5-BeylkmnqhZ%jBv2}@sUbRW-oQBiErQe%dTNMq9bX)6S
z70dvOss*n_w5q+aA31s0bkdx@Z)}3*)8sV~nMkn$dzqk+==RG9wG{!+{H4Mo7=qDU
z6x6kzqxB8U#KH96rg8^w^ibbj9E4h&0i-)3*4@$IPM#Vm%O9eZRgB=0i5*{#onVbI
z=yy+;w<O(oh$)PJL_$u^Ea_?rYydLC1IP|2w7jl%WZ~Q(dMfS&IJE6^naSAU5^y7a
zVB03H4L#NQ-VuPm2Zx4sePsa&Knwa}6fE{FGi!Q-e;vY|TeL3YAa^R{837~LN|2~{
z<G@{F0?HN<+JI<o%$~D#a;nJHj{H&k*GQA)2xg=vDWCYdxa6EqWL9W}WE2t!@LvX|
z9{4sZ;BJ!Q;$Gh&HqX_52>${cw>gZq0ca7g;M#_ugtXt2QW&yGy=dxB^3PIK4je^i
znf^G*<m_y7kXR5gL&G=J#PoI^L$@keI5j0D<T5aIKwd^BU@$`jeq`(SG!sYwUh>4X
zVcB|ClDqkB>w7&aBYm$Q>h2UNn8Lxr8ulZ|%f12#_*AIP&lmovJNg?;j{&T|p(**T
zTfq->Imo&bm&uDxVBoN)V6=I_2TXs9JYCSF_tTjJjv~kwNIi<f_iRP68xBHr4&q2s
z;mG^}Ml8X6afRUN!!BEJvVg}+&}PU<v6|<4o74=Eb7eG;P25E%yf9;}uH7Jl7~b|o
zwdmmYPhCSp`=EOG?683R!;^pP98w?|$Z^3dXn^m8M}%p(ut*^opVoFB)kLb38{TEq
z^!CBm=NCQk&XhWX?&bs3*p`OeK!p^2h8>v!2k8V5O7hSO6f5R%#XekvJTbkSe*u%p
zGwvFJ5qM|3DQKb`;O|c0(I7}Be>;=jwLVnj4Ipyx)fqVtqN2v&s=^L2aE9zx!vl<E
zEZ_Wi!W@|Ot7exW`27CNr2pyhO5pPLmrE)DV1LWMo(e=Aqe4*NLVpVQF6!Hd&I}D-
zStu__J*$1H@dq8T@jxCj0VzMkan(eIiCkrZjkdv>S6ce<z%ZesRAKuY%sldHr1B@^
zG?^N@Jw6HKiI9K*2{EzLRQ(2|?ob7V5L@Fhf7M7QU><%t=Ej9Ctoz;{3wr{=PROkB
zH#DsjqxT^EtT!w%?FmzIcdxaF>)AhhUXM$zGokxN;Ac<-8I_AsE@U^<cZ<XE2W<)B
zytN5%8-N(_^{uC!=*|-Fj*ECGxMmRTw)#AK8d~Vz!AFsF`m$2+)YX46)2_T>@d;2m
znLmfm+q*I3D-lG6Fdl`vQ#2yYE(O(td9Z>hCOVoz;qAM3jx()t$9B=*LJ5k7r4&5~
zn7WTLmuva&RoV{_0p4uR&}9^`<dQM03AjYF1dy2t<cn%*?;xwqN=v&1&F+w<m4cP7
z6|tHNJaYDEQ*tU}9Q_pF@4pXZ(MLeikZ9)t&jDtU%B_7${9m8w8}f;u?H_`kfB>Sv
z1;H6U`SpiTMo&*)axOz?J%#@l@Z#NQe(Ud>n4Sc_ibp_T!Ec1`d5cFf5n~`vx?eD%
z2g7@yD<7zUx^in+nVgfG`xxXC5(*BZuWsJ%gwF$5->faD#h6=XkPHG22icb!O@a@I
zJ<z-|`uF-XWPQ;nq8wz36ZV>;!H*4Jk}j#ciyH6+C2%Vmz{Q^W011@eQtk3zdGlt6
zZjN)6hc0HPSCQ|YJE6T~raSq)2Ov)mt)P~NMkGiupkK?)`{&2+$jBqePfRC#wqOqg
z%tVHX0U%BWsT#D;fxo+@bt&xpYvqq685IfVfWP7V7ObwoW6dVT)Opz;sn-3yOgkfq
zk!$67m$1R<_;f%v^728uYv0-qH`U>ygYYpfE-pchO#PC+a&za6>YgK_6eMW)UN<8W
z)X1KshnL;K`W#?~9FobFw@*e40bno#QU#hao?P;BygdVn>OBZxW8kLWxR~@BLcbZe
zMuw#k994yNtArNHDf-d9W5J{6(J?4rLR>SsFP*Q*-3gS_=mk{fKZ!aGZN&rdk%Kvd
zFpAd<5@Bfcr?mn7je(ihV|B+LsjRFvaR+~#vy6W!dxDMC=IFT8wFqC4-CcrCmtjWV
zFhaHEv5Mf8agnWcIG|nFLaCt8R$8i&1|*?WAjVx!PY(hqQ1NeR;CW%=$TM*f8IBF2
z6e&aH)i)Fux;qM2^hR>6MCB!`cVvfJ3vPpl_5u0{LeL$onW?FBxrLOuGV$I^<@Uet
zkWuc-Mn{;c0a))`&(sVv;n?id&--C4rCY0YGqK0AFt`qsl=x~~TwIGwOZ1T=)wk8V
zggreyAu+v!9L;~fMLe0Z{=e;8z-P~S6h}^yR=xN!a3goxb2Yi<#SifHLpch^FlzlN
zG!?<DgXEdbHq+JmHU)~cP^g`EQetv`*NcAq^eKr!TJ-+@Z_p(AL8=SMtQ)k!0h8{k
z`Jb;t+^rF}BJJYHXB)xz{S!XIwhbLRH6(u@pXhCMbv1Y)WDIwA%(+8O7s&GdkJ%Fc
zy&!@_NGCAFXN0tZiib290erGnxLG1EFR1?UYf^a5tK<*5r0TpcQ*;OaeBRCc9xgYn
zu;mFGfj?i)sP<4u6w)Bt{pMSAn#XI61VqPr?fNc1iHM1?_Cz9ZlHP4^KTx@dT6I2v
zmrEa61>^|WKEwua!eM0zfY;F=XaqNo@QuKVn1dh{uxt{&<OhB6ZhjK*!W9$~lao&N
zQG(ar0z?I#Xd@U&Z6fJiPf$Ak<N3T(Pwyfg*pzBvaS@B|B8M(#<8CAjUzxKct^KN0
zPeG7Vt*a6h`4&PWgtlfYnxdj2H=qlE<3c78CIK*siHU&@C1H{mU?!1PNH+x(e9DVi
z&8>JQ=7J(%I)=HjjI*K|ki?JE(l&$B9z6mtgRA%Ik3V8KIjPAtg^Se5F8$_`n}&n~
z;sr(lY0LvQe!$xM+8ia_Kd4~Wu6V3`xFc_yZxonVYb`Hf84d4Z`#|G6tA5!j4}n_)
z*A;2S!O58!oL^ATSRCmak!uU4#D=6OtCje?nNOZH-aqih4guzeH0$(#d<x}y_NATE
zVXxwwo0}nnxA6L`4|6YV;~|f??~Xo$<zWEv6-;W}Q-He}Jad27i0ZZSSvYAavM&_8
zF~RTtyhTnEV1@%pvz9F<HN7kC#UwXDuO;KFJ`fM@4R+i_5|A-i#v>dGpk0WkygWSa
z|LH7GwR%t;b-2`h^Zx2m2N%r&xM_p~2FeGt+b1Exiy$MzS>-x+fz47KA5YQp2W)G~
z5U~Ndpnat21s<MjT3S1*R?g0)4V#XTXfsh$+x@jb+j+46d=4xxJLk6w;YZFRaE#*j
zio+cwCpz+=qk#_6K1#}3h^Jk`u=iGXB8^c;r>PT}Kmx2?q*bY56(lEl02TqZH<ma?
z8_=k|skZ=dR690IW-|J)>@i*e5@!C(YrWtI3l1*?KUsesY1Q4^yZ@pRE(&y-9_GMx
z17v}i0^B%>#BlK|YI8ZFIv<aaz=2R_%7vFQyi>CT{gDiKXLUZ9|HA@1XD$E2!qO73
zr53CxJ<|K)-Gry%z9+wMbpdZV4_!Lt5N5jL8o*avKn69qQ+spBwQhegd9R)iAz&E{
z-QU0Q_FsR9;PRA*YeRY!W^iBg04X~C&?ETdTK!t(9Nrl^28E!hpL`S#aBt)(zz>4l
zlU~|$0p_(pB}hA)0SGl9h7NCHV4@b%$_+0oCO*Cy&JU;$(CAVAy}xYqeH{?0HneGZ
z0mHzJM7Zo+T}F+jw`5eH<tUXKdTsnsN$KFk7=;iOa-z8vh|i&O+0Yji5vc+Wj9eDo
z4ti!fCNjL8kJEo|z`;K5EZfO9dQkj475L602N@m;z+LFn-5phMe(@RF3G>(B>B`^h
zx#e_HyzUvEw7Ji?9lCDW?-`!=kJ)^F*veHy4n(^3A4}Pv1h?_Sa^BX?4%|sOU?pT)
zE_QF}JFn6|9&Y6q`GbHz<Rl^ISp!Smc~~<@5A%IKaYm-x3oh_qC1MmXe$feeN@g&;
zC?rXO<|-0H())bI0rW^}49FMgd43+A;k@CLybXuU+9f~8W&ebM(?p2#ih*!5(ScA#
z&<2tZrQtJY&cH4F1<koIP>HYBB8Kt4iQ5R-4#D3zz1CTn-{%P9R}`Q+1sNN3QVIwO
z4INg3(}Y#SRDZnM#f?cQKD2$+%h*40g5k^cD~fv8IXF1LUtxioe$BF&%F#<<fmp^x
z1e~iwJfXFLS3C|SDkUW)h>q;+>;~ng4nD}Eym$*)j&YNBnH3FazYty&in+i~z<1ud
zm8Jl|@S?onYY48sZ~sR$yG%>q^pEZ2hB_hlHaxs1|J5sd=&uFOln@hh9lX1mnsJN2
z7d~xELO7&ZcY}jj{yNGFlQj;hSy}IoGqbYpuhxzk>u&#Vb)O4e!m+Wjd{bG9e{xX!
zxmpi2Q3`b&dN(PsvFO1+?uyg|Ty7eO)!>yNLziOt%YBcw#|GZLLs$)<2)>#r=fr-o
z_k=hz$byCyf5?V2U`3&Z1mF@mn_vy^${!Gao^GT;j@Ss%3c@g=P<^hH4*>#lp<<v+
zA=v`na*@Bh9;%76z_EG%r`MabA~xRy@T{q=4OuSCRDBBjxFNHLPa+QzU+DH9pZvGy
zTl;I+7^u7hX8rGVmVs%3zqs{W1(fzOo;;a^$w{E3UBoJ8UGfS#+BOieqBI}mz8=ro
zs@7;>Wj}rvT%>u4{J-iqkyhuasR^D(%2Sq&ECBDjC9Ix6Cl1%kE$BxZVzb%<V6$R6
zqMV$!;bk1=z-4cN5z?mr2`atE!yX|eI-tFSV8p{#PEcas{F&pT{~q}+psy#joMmJb
zykqDGBz$UWD%^Opj;AXB<;B4<6li3AgoG`EnEFZ1D3qt61^7#M;KOd3Indx!Mn(z(
z?!M%`l3_&yS;y`8%-t&OtV{Y6FJYwi?;`sIE}tL6vyfwokszJJP}&k#n5wc-1)AbW
zWMU#ux_{-p?{z_>n5Cw!zNY|o2DUU?OgGn~gy8s^Vekym>7#i_-$bnPPqu%svZYfn
z%d<ai#?;8`Xn@obkTG}ACdgvAxw#F{cT)ZYao`#lEGXBeTbe*%0ZGmKfdO62*J~op
z`3GX3oeXH`-jL7;KZj5L`p)}CNC#lS{U+2XIHCRxd?grY)3?8mQDOAD0PYy{Y-WKk
z0Tv0Vb3m~J#wYv2`Cv0voJTHji;H_f$T-Y_4dcH?i&De4H=+=<f5VA?_>cRPKfg@Q
zs*#b~+<2YhN(i**4Z_hhS@#fS|HgpMy7=acNPK;5*^O@Cd0>jCV35?EL7J^=k1PJm
z!-)2R5daSO2K|w%P^1Aj2hOBb!TK5y7+3$^tcOpZ%6KmH!vo8~f*~*;g!BMd449${
z^r2Aio-jrX>}w=Kb=)12tAp?e5|_%#N)VDJLJ1GVG(e4|X_5twV5a&fw`AElVJWFC
zwhBHLxcgv$CV$bWCA2LeGu3w6j=yct%~3}F$%KKp6z^7#)Irj2DZCm;>M4+tM*>tV
z7-W5grKKn0Wy;baLmwYEG=qmL?h&|{IOd5Amxd}cELo{Hu64x5v2t!ivVd;{__bR3
zvbh<V5p(+VX`FJXiM4P+)6`FpMO9T*f%@CLWT`U`86<)E0;Q9{#{gGhm*mZ8kVbX=
ze}As?=g-3-W{Z3QunSeugBN^|+CUs??A9RZ8gC0ehUy>O4Qr$7`g+3+mBFWt--vL#
zpq2;&vRSwHPgX0Sni6!07<r+-`-v$jO2m7vJ0>S+zX-Y;;GA&uXE{^gDD=w}RG{P&
zZu8C{f@<-S84~VC0V<ao*A_#(MWrx=5#DCF)CfIJDuJ5*@f>Vy)_~nDg7$738D$<@
zM_K`BE+{AfmTR;~w@)}8%u*iRj!VUH|H%{K)6?PB<z0nwsyhUMbslQD;VScY3lE;4
zzVTm+(0csKZp88qL9<fu;w6PR3B`ijz3R*QJXhy_$Fht6=DU^8QSW@3EdrDM0?A7g
zh+r82u%YF{EY_;?kJ8iE0S5vQag4Yo5;y`TX>hF`udaFYEZ(fsM;i{9bpmm#1k4-$
z4=MSIb*A11X~O>Qy272o45+drlLdt1LE^HoU`zav0L#M8{sN2%>1souJy1E@KR>Bz
zS%qCkucay#whM`{9N@Nom3j%Uexu>jeNFTlWxi73yY1KZ!*RX*zwOGmUfXx2*9`u-
zni~T}TAznYG9td~jZL1tLX;w>`WJcwgJd8k7iCZ*N#-er+qRV3LYks7PkHvQD<^K{
zlG}+vJOgwkg11hLj;;sD22w0z9UW`UQV8NezD8PQxHeePz%{eXz4jLDBX(pGsH0Kf
z%!owgZ^!rX+#?EX^tBCc_n|L5e+eS6Ph-XD>6S3PA9@YGZ<nDZM=o%rzt2u}BvR-P
z?6|5nm#&*toNFLLJWy0#%Nc#1Eg*4+4uX-+=F4<*M@S~&YEcOoR-(x-M}W&~$PAs?
z8lH~q&)XpSn?BX!Tck1_AYH%E6bR}T`g7+};UYbHRO7$xNNf%H(ca!(FSDy3)KtN@
zwVzFSxUsQu$T__L^hOEGyl$^=JRI}??XtwBmqO1Sq@71UkE=m@h8`rWwqKZk{Q}PX
zk2^Sclt%md*|HuGE^zp3bwFuoHt#S1sL)OLM0ZlpKCj9n+2lM%j(pW6T42(+z`xVz
z4^xYR`yvYy7M%bN_su(ivJor>_$aemw{}4M0h*EauyGKnK*L~idiofEHgHibkljIx
z9l?N#+RpN4rys+)fC7X`=7GZ)f?<S^wcJwdEyP==iTDt9ojPfS9OF9wNQoe>cS&nk
zyran=nJ9~oS_sL*d^hHZX7I_|P;pn~<z-?e0^j}t!W9mgEf)$AdPeEcv-rRTc(cUD
zrSTCPMrHxud*WoCaVP(|Ji3h-%LfR+KlAHL83;;{DT%Z;;41;D_(PQmob%C$AAlKy
z3iBfnmMp0bOEV?)8Gtna@hS$>0A5GJcSDYMk-Xv^3+G)=PaR!dS{tS$ZdqAmm6@yt
zqaBc`$o2yMKnyh3gp<i$&7FVr_%ZmBG8lIXlEmk@ZqNTQkD@&I2@sjQpdJ7#r|bX|
z-+A^L+H?9@aW@`b`}^e5(Ao^U_w+HYQ2PU^()T>lsrgSP7ZuE996siEcLV>x4GRIH
zkeV<6Og;ey7RY$c-xNZQggDaIOv|ec2u_~7AJX2x4JApaWR2;f!l&}ke0MB@Z&159
z>7Mgec32?n^uj#)J<bos=w_&FK_t&riHCt+KH$T^^MlSr@F9?VP{eVE-||G#EwL0=
zm&>=VK)BuVV-Nd3Pc)H7d	q`|oETE6Usc;I;g3y#544Er>1&jp|@mO@#gI;TVg*
z<;zF9;=eyr^cq6L7I4PE)T_dfn4J})Ej<<ZWh?yqqI&%|cNwZCYDX!A9A+$e`T3th
zDI0#)dlj~=E<h)5XFh+HdIlweX_#Y@bAKl@vm3_gu0miI4Znxs`1`1etpAi8bd5gR
z6w-*=_UEa@b!&s)e+_Xwm;>g6hWR|b{ErKUgzmxvrkt1xun}&aG+pJ8;a}3`nZj0`
zaCKGVX+(hfg>_+rSu%CO$5`D0jTBB7M}`F|{GcIa88Rx(ae_Z$-q^Uf68(}pR?m=^
z6no4l;hdpu&Gz=~TL}K=6+|Q>0v|)kn;gR5IEc9_$*e~f=R9tsdpr0^%#)9BW?Y`>
z{BRz5KwNdOVPr@EB^@ZHlpDOiCUUMz7#hBUA=*PX8%rBocn!W=wRePX;O7`Om)iUt
zq%d-AMJ!W#Y!b3&i~HO9aO<C5bnpZd1cL+~%yVz^I}vBlmt^ERIB?@iE3ovSRh%-@
zqc7`x{z*iEXGIMDN9Ryz7a$qe|5p4^iC=(3#@faPTGH^pC<^R@@M4h}5imj7FWYZ1
z6Hq=fj|Lc8c=ILr5qOHGt~{<q!d8qoIR0Cr%49y_lVTlT1!M{o51ruGfnC9fppiTk
z(4@WZ?-xF%ZhIE{_bD;o^(;W=RQvhi<eywQAn`tz*pl%9fD8kR`{D=ebXrj4hKT{J
zM8J}N09e5n2+E051J;9I4^bsFt@h1Ie=|YX-0G&OFT&hwP_#sLT*8p=YE9?-jJL2)
zkH!WdllZY^e8itZiADAgk%xzcD%gag5L%aP5eca3!QJ~@VUZ*91ymrw0Raxb4<4YE
zkA&#IzC4eG4c0Ln6-YECfZhX62P8-^*Y*&cjAYlm(K#DL@X`oD6<(3k*EfPTrSOZ-
zacQ8A<1DmPCc`9+nv_<5y=Dk>D&ee^M3|2qh69Z+_Hh*|$dn00?gF&wWX(_bU!-IK
z{bMHdQMr<0=l~|J<-HDWk(}78Y3lVvi0astRYGFtv4MFJTHQiN#}hbZBc{Sgs~Y<e
zYhb30yEULblLBUBP{DB)><|h)AZ5nBMHI%slR64?%Ka<8Pvo7Zo?Dp*KT2sqaB*N2
zIALf>yuHcE`KRX{?f{TNpP*<9C9dDloEV?8USbG}yV<U&7kPOA6Kn4-Y4sYKnnK(B
z65o#wfx>-TVo*U5ZD8`x?cESYUTzWHTtK2Gms1VCkTh7_)dae4eoI;W2IU&+>ij}N
zIiPs8_(IKJQ00M0R(i*g47A3<Cdk_LCM?><f=J=FetdW)bF#HOWr9GuJ9T5%<T*U6
zGl3s%a(;lQ5c*2)#Y}YXZ~rQU@f>+4cp|mYiF!Zo{KxCt*_ahez1zHKqZ(`VQ51I6
zfb7S#LJ)LB{N3{<S_{e>e2}C)D`st78n>&SHFctoOv%Xs>=}e^Td{uz2-N00TMr5S
z*#UMyKpa!y%bsK~&Xq$>&MYyB?#!9lCCz*&+<r%@PFwFKVIFM#4|0JxkzPofu^UOj
zQ(j|cfa2D72(Z`WVO#?M9xPPk-VlWlAz1+Y^$Tdifo6uDL9jm3ao{anPfakRzxDD)
ze4v7H0(Q(6j*iQ)XU8`Cb&LCKC+LaVeZJZPwiAU?G$hLiDFbd<7IF`m9tAPlkhS2H
z4j}6w<evs&gl$&9xZqtPWvhs@U7ekvee;Eid%_zKx|Sy+GKD>)8qI;y9wGTQdF}dY
z!aQIMxjwSg?a8^+d@CBruLcGOOCk4#n!X~f3>|@AJ4G<r88HPE_#J?D7dn4Z;)SuS
zycB<cK+tShdI>QDrfWi={?$Wm;XK{ESMM=@m;#zxs8MvA)PR|Q1+GrKE)>PFpgfD`
zv6l?l@RKL+XtsQ1K}rA?`C(uHmlNp6eW=zVhlS7!Xp8@h>%E45zQ)0jVD|KPPh>j@
zphc}r(c2xcap$<5*#tC?2AJ-1+TA@pKyEuFhbXAbo6z&ZYiB5BtzNR1oFFqveh54z
zFy25u0a+|UVl&$r0Yu!1S2qIYL6`O6iTJM%GV3c}%D!p_L;2_O5IF+LeIx$TV}vu;
zG&CT?j<TWw4o!k&9@<_3w{NKerFV0^BElQI=K~t^F&xq^Aa8pCFf<n{#d>(&y^Hi%
zK701;9Ugk1h>OMqZS7C#Xpz%X_eOh2#Rj2pbNmyhu_!$!NYa9#&J2Ai7n6di&!6Yu
z<_-rVBWO?okSe@!30_1XADz*K*|R*+jEWSkHxZ>!XD8&ApwVW&bPq~{$m;|Cszv}w
zfmc>m5K(Tm?1fe?-`(P57D6^O=Fyo;7q6+QO*Y)MgOkcCCp_~+iYA0KGmI&x$UMN>
z&vqnzw)y<Y8+6iPgdT9g?+j(P{6DQ-c~Fyg8djQC6j@V`lyX>s1+4;-S{6{D62l>c
z*a6u<YKWY*CJ_XU${`d`!xgFQs^QQ<uA;0C8bA)QC`S|sL2C@4cmS3`&_GuTVqu>z
zVA~n%?mwG9GLvEQeZTqm<$a&`eV+IE35VJ1#<C|KqqkI=Or<L+Tr&`RUu?xc0J1ey
zWpS(AU!fd2PfJ)~WvhM`FKg%+hqGji%T61&uVOy)yGWDYAtsN!w@zGhObru2t=D76
zyh~0NW=bOe)m8!%L-cV`*#}Lnv$X}2U7fPp=g48@SXM&MN^0n4Vp-Ks%}g=~7SCAz
z4r=~d2(`)gEj~6>Ns0UG(S;x11{1Nr=V0+Ajy`uuZM2UYxuO4qLq=qYo&K4M+=){s
zIx#AFn{tMsJfD%zi={m58gDMvgbmjRk<x7bQOi2E;Da6LW3B(067R|C4F?R@qh>E|
ziMH%w9ZpKs{<j1SnwHL#$@<aI8j%T4$N#hS>#MI^(aR?#6We3^?(J|RL0ZR)-SFo+
z+~5H2+O}#5LiyD6)QjoAm->$6#)k-G%CRk8YvoEs$?4v0JcByY4m?1@81A^4$HE)F
zWr5CgIvv(n{_r&61<EGsi@zaxOE1pWG)Z<KQ=Yc(^71-9;ks+rIdsbh?pOVMZTi=+
z0&Da7nym|9Nf4ZooFD7nE#BI~53s+RJHTPiY*EuUca5~3tKtg``$CVf8JdlvT)J3J
za~+s(($KN*mdE7#UofHlnzv9-4HDXhugZwC3zm^5YS8oTgAM>8q14gf7z@um#BFB8
z!o;OI3SO3LWa@^F!8-*&O~LHY*M)vZF2BFFh!X(%9YPUCWbG55m38H@QC9i}&7DNT
z(fnE>A-c!wZhu#YT@LgJ>ge$kjnb7TTqy!i<Hr^lP@;<xYemm}7+9GcaRQQOxC^{D
zvRUzv=-*wwbctQTFHyY6)a=@fXYpxevr%538c0VY4N<gpQNM)rX_KOiHu5bEx=h5<
zFDGAFK%@B^v=L^4idvgYXZ5N+>hogB0=TJ7&DLPS3coWIwTM9VKobc;$F@}8M|o*<
zlGFGWzyVu9SKmIP463lr=AP^mxcc14(hK6_T<?fd1!h;akr4>lfY;A)gb)sWEh;RO
zw3GlCR`O?3aC+j8$t=-7e(WLGs!r_B)*PN-W3_%UU`mSDf$up5r?evusX<D1$Rg(N
z|4_Yo5{k5}(a}+)BPjFzQ%@x#)&v2dBA<m<o8Yf&P~86WaMglM9d$j|eYjb(&}Jjk
z;iKX7d?Q}}>L_udc}+oi`R8IGU)O#pt}5xg_Wr23n8As@32iF&6d|XAxkHl*;N2xn
zFTk(WZwjG;@Y_N5o3F)WrK}L`xZcX}$MFE;XGbc-b#LGtb1skxnz>7l=4EIeGWnQy
zyK{8!&gS9>szb9=X0AYR6-yXS?tl3PC>hJ+=e`F-HAbXbLAMa~85CHPy0-VjAN??w
z7bpj0yp1Xsqgk#SongIT`_nEunVvy3+WfCZL7({jrPe+}4$I4)<$tgr`3G#d@Q$Y~
zVHSOFd!#4AkPwYqCr}SBV4~Jld+>5|@6GmhF0dGi8`z3kbZfBRMz`E?rHea=SnvQt
z_FbM8Hz>og3@m>h0otV}0qqt9x{{5V*!Hlw0PoNir@X*1c>O6Y#ohxZS%}|&TsarC
zoyhgKAhZKBsYWh3kX|%`qb6>#He04r_qufesq7z8?E#$)S|KD2C%#8w$4sgI$0}U0
zDYI{x-FJ=`55n?|Jk!Gfrqr~KkeUEZ{3wwWcQuoobmq~z%<d>NpFKL2=+cDhwsoqk
z)6h(e<JV`Ga*UT3Fk^UN?Pg)_u(^S}{BO&L(}UKq7q@h?tRCC#h0vXr10iO*q5UWh
zp-(G=97ep{Aqv*LCmM4aTirfK`gQ(&Cy2k3zH~qLgt8kAZ~1A5mT5_LHX2@>cij<{
zgu$_~rm|)G)H+<^>Dv9pC~u{R{56IQp%ml7dINX?#0^eTKo=tnTX0qV1}E~Ngm#9Q
zVL0s5dQaN=G-43#5lLnLHt0GDporg7%&G$fECPk-;97H2s5*P~*f(K@9Mwr*e~+r9
z4S6esq&<G<o%~*PPd7rnldv=<Yj^OIoluJug*ZYaix%=PonN1UFn~(*ejQ&8n5tba
zj4@t99N{!bcU)RKQ~$|M=RXME0NS=$YAd!H^02sAxcz!Ak>ZHSz&tcMm*5)yi%yy}
zS}P*Xv7m<>sTxl*wb@(ylil4eJ;N}=1cla{Il?(d0*1gGgGS&~?;YW$DYWX!bEB-D
zU(7Q~I&MjN9H9XXxH8=tQ2<`nF%a15;w&2~M3ZMx1Nc%*rSV~c;?t><yq)v%f_0p(
zd_q`{5QB%S1I@)&fEPaJDVpjBFg87eO4Auv3J0rTwk#yOSCEq?^DxD(8ERa%<=x7a
zx4#7m3~>`t%8Dhfy>}{>OeOx8Wx$Ku+S^?0lJX(@hsp}?_Qqdrq={d`koEqeH;-bO
z1a(J{1(mu7S|PNxQ8~tf^t4QU`zsG-=Pcu$%*92oZ+}aA*oAQS3;1u)Bnjc`{y67K
zCvQTw(=2r=ZgSrytvMJ%9+-Y6B)y`|(IX$g$N%%Yc6p%CyQE%`i%ZYh;>@I9pzTQb
E4|c6|H~;_u
literal 0
HcmV?d00001
diff --git a/public/figures/rotation2.png b/public/figures/rotation2.png
index 655a7b3b16da0649ea51250383e02d2216b1f8cf..df72366f4f91ddaa2ecedf2cee587391fe0a2f2d 100644
GIT binary patch
literal 84008
zcmeGEg;!kL@&yV5fdC;$&_Iv|f=d(JA-EIV-QC?Gf#43og9mrl1a}P*G`KbH`gSMh
zp8Na8_x^)-&lsVhd+)W^s#P^>&Z^ZX^n;u@>I;GwFfcHvk`f|{FfefaFfj0FNY8<H
zdIv{0VPIZLSO^P$kQ5dMeQ>lhwXimUfsqJJR6|r&8X(BjQj|0gK$1Xi3suaMM$Q(+
zh@qWBk_2UUf58wr7|aQ@!h2PjT|yRCju2C42o5(qLN`&+(7;1sS6<HZFVDPM_IToQ
z+8z>k^7b28Y+`}gQ9jF?)K<px=ap=y=O_Ef#>f^ax(6fj6}8s?o&CnirlPC1Hmg7L
z_><D|GW_T2j;)-HTZj9OuuMVf?Pvbo@6$<R&dxymFfh8q$%Ch`pj*MVi(2m@OnLt~
z!ROCDsuy=_SZbGc<6CNHS4&203$~)bFh};qo4|fug1;z*^TpkmXh*Fo5dkH^d=(Dn
zi~+A9gQ7mVtLrXfQv|zqlCHnWEcLTDed&1Wt`Vf35iZrAZP>(`%<=F<-}jW%s@>y{
z&NF9DreWO5Y^L6@z@?Ov@a4Hf!&`DnTtlDFE8z&VUY`|;C0?cE)r-sCIHHx}>kA#w
zu6`1GZ~eld@hu0XX6{%&c8C*cFdaMt_O=rin-d=LrU5d+sO5aZ^&D(E&3Yx9)4m6D
zqF(+3ji?-^R+pdF+YPki4jN2~f^SB>-w@U|UVpA5H63)q%$a8YA{+Y|i$$MYshe)S
zAz)6PIuuFa%qX7O<o5}Imqw;HNY6S}VmNYQb<kVEFfZ5)FRL(Y1!;{k`(p-cCwW42
zIB~xy=q0Msc9hO5sW{dfL&)TPjQhx<+T<c<B%d74mKgPgDn{BM3MQ-5NvC%s=;ytA
z1gij}0ufba?8qCU!YD*A{Dl8AAy^b@{UI17L3WG=R}R-My}elb&S%Uq2p>B|bMe2#
z<`Beon!!=S`MrM&fBM~nv{-?Z+W&SeNb_O}!MIoqMVZC16YKMtAa?(!4xD0*xc7Dg
ztLWceJ*{S-8;yLD<+{v`LS>sEh&1$1&S%k=d`TXRNgn!JM0^n*z5C(B{Q70^2+`Gd
zAH<voOL=!8b8=qFMNlo)p$zU=vQIKPN(3xqT)2^PJHpPX7Xm7wA`V0p^zDyiall#)
zjQ*H8=Z<j>L9Qc|-55OR*nSj8TT#|A5_ib|nn0SMAJ%onQkPN7hp3Uj_E0ahr_S<x
ze-NMWW?5i6O$tSy<f4tD9%&&uqeo7EyQ)i_T;HItlJWr4RU{NqZGxm&g>{ud7e^j#
z16WLS;Ym?x-eTQo-Oxq6C%vBfw?z_IvoPmonRJRlv#Q^tU}Fc0``=yahvl~IFw`C7
zdp3J)N*6wYU+~)ZaMj^3nA$ozo{rUYrg2~{NnrgwuS!PSv1}3XU^p9+Dq?WHxip@>
zhf)6eY=zoLAFVXt*>E3`JFFkZ%O9QQ7$}(UX}`di&<E~oJTC}H(I=*cHPPo%e@6RV
ztP<e>rsX^TI1*YA*6Pbfq;mf^tHj!T8LM17uy*fB0zq#-MloR+b;DJOroVFQMno3*
z5o7+ASW<K{mR=-~IwqwbF7KsAs4`hvtmcN=28JUXS9C3@Ta35_-sy{*&xX{fY=R>n
zc%0$)f~qH|Szl#*HqBO=Agg_?6Q=r=ZHKWImM=h8#O^C($Eg<Y*%#d2Zu)n4!-(tp
zRq6yup#zok>NKiRKlLxvS?;qc3?S+pm#|c8FVjD@bm9<(QvLS!rsaR57pS(zbNu`s
z+ZWaE<JGDjl5-%<_moxfRm|R3)ksrF6dxUbu>W}f!{VCV1#=lQRD^OOa|d;$SJ{x=
z;kg5{1D^x>31?O0-1`HHSc%@ZW{NO0N!{d|@lq1|5-k#a5^9nec~`~^)d=$$gmQA^
z(*0)xn;RJ$xf>-Lg&X`~j6F$f;-UFS)KfG=)LJwn2}22TQY0$Tmhz}yDHUsq&c5MH
zd+u56`RrLSFfh<D=#^Dz8kRL_;%Iu+jau+c-U?0?a!qj7BC{gc(Ae-mI3Z{dwhXz3
zT*RrVotyLgbIn`HTj5(To8U`(oAP==uPE0<*Pu%k2p%^!krq+?=-Ujk49AQI?qru{
z7n)|*W<s6JL+d5lCE?}<XRnLbp0=J<o*tgk=dODhvt9-AlMPeoQ+PXg`*sroMJwMs
zU(dWm3mQ}JoEzjE*<l3{%)PNktwtSu>H4OY;QaO8n<!Qpc6!!QW?sX&(e5v<GK?(A
zO%YAe9`QF0pXV_yF@DGN2=9ex6P=Ele^aQ89sf3M9zB7Y8{JF4&a_Urj?)|2i!Ni2
zMHOE~IVHpXC7pej*pg}5kJ`_Ccicz#C^e@*uHdAAMW*44E;EFUg(I9PKDCU6$7052
zlog$Qj9t&hce-^b(BPFhX}!9Q!|<AX5^4CzpovPQT$LxiECV?MPEs0!7Q<cXL0Mes
zmKLPSQ(w03vTC$e*JjCZ$;ilnrPs7THe*CbE37QKtlzZ^qOsuSdg)5ziUJ{kWX`{t
zcY=f;>>nKQj1vVC7I05<YP-GVzUAEFEO%>N`^fFV9hzR8&d8HHsyk}9eKBg&h1BI8
zA{qSiWy_|JlR*o1<8%`*!6+dypZDW&?{Bc!T!h4%D#PyiS9;ofI!-zb&C5<xZf_v$
zD`oSL#FluTmA1i$X2d1(MWZP3_`adoQSwjZ91*RMfn&n;rtzAdvzp|F<l&O#lA(oO
zo~4#wcS+F!^66ukSx)WnD;O(W?IAt_*B&>UcaXEYg_RzGKEJ}J8imW;kGb_xdq|Zp
zRuQbx%+ZYz3J`5ySff|JTtoN?&xclzh6`_p;ydVSY*yn|rT4KhxL*h@xOM&7!PFrt
z#4!6+c7Ar5!L5O$L81YASJ{u6ANxPN$au+3MF^wciinApe{StzTR&~8Tg;qT&NYkV
z#}N&e`dl30NeIDa2)88;io)kJ{rTnYUH!YbFTLs*Ly<Z-cc4*zTgyc|qfn#uUe!n+
z%p+U@mPczias$U7qaPbWNkfM)k0`j_(!^=Txx`Vuou%xMMwZn`ndG<aZq!(3EJ)1@
zQ%akZuo$pdnDp!miPU3hcM9D87>CS3^-G>U-Q72CAa7ApoN`}gOLjR+PC{OCCFL;`
zZ>Z$=g{eJDF^lIl;iKlG)B8&Oy06l&LE1FlsrWHX%x4;^f-}XXj0!Q|w5J)iKGXGp
zYshOjOgn}`N9Hr9veM#OsG`%8Gu<R|zyq=AsfPUd_EKrn8k%G_S$iBVBh$nh3D#+Z
zvGNHVn{PUw-BElBTBGX84eSgo4!oL*D};cj=@PJYQx92vPR<KOe~WeucbXlW)ehID
zbJ=a>Y8+^!nUUA9m^KVoWh(I&I@xwF5}kcJbKH91UvYUHys^X0qc>+{r_0n@JW=YF
zccJ)2Q5~m+@_=Wn{Sk}_w$wSOa$i~l=Lb%rn3S7rnq(y%Cu?8NL$<@R?vhOzZFIKk
zth*f790yL*=mJ#_)QcLb%}x4>-<1%k)~F_z`_`DArk-t*4{?;|m#dW8RD3Qs*EFlK
zy=j(D%o%*6LaO3bEL(!7)}aMf_j3_G4!(^veKW-FyZCn5*~_VWE0~}q^^~ET0YNL%
zT6Wp<5-&^7vLVHqZsF3S#n|gE>YAv~vdzlME%i`aHDrcnuh~_0&c(!S=di#t`F6zX
zi`U>~U|U$5-(%|I{)mslo#y4;L4|<6*VkLny1vD;Nv5{!LWSwM<%D0;uIA_2Nv2O*
zK^>@1Hg^U?T`J-)qv?61_%yw1pVTL+me(iOm#C`coNHxlo7@~12lfklGcEauTy7Ur
zj#;S2s>g_V@azwdJvz=p7_YU>TX$Tle#dR+2X%No`d0odsry}hwOK&du9mtWR!7uE
z;C#_tH*RHC?o^@I`pPL6Vmdjp&_KCp*}>5Ga3FV>k?e+Yc)673m1W;?9&i|R8d896
z^|*Om!3WWWh!cO}Z$9VzebR>J+jl0g;pe?a?<?e|_&B|00b#i^3u*b$Qhv|%I5xUH
zx$Uz=;kWys^6=w#Pe4b|Q~NYadEr_9fyq+|MMb2Zogd4othAl>QCEY9-Q99xJBM$_
zdeB%%4T%yzKP2rk^t@=TW_^1Lte|&zwS93V?ZKS6NA3ST*whs6*pdh4Tp8x|@yqu_
z746$a@CqxkDoFQKrR^xi-6;N^b2QQW>FY2DpGIsMH-g(vzh%CD`2jupd%-J@f{>Qf
z@aJ~CAFm!BDn?*HY|oB0W>!`j+B=@kR9_zu!9>Zctbh}RKDq_T21q$~NigAgQ$0QR
zUG~2d9vlw>qy@6QgoYCg3@!!qAFQO}+hZ6Q*h~v$b!T;18Ezvx8%6_TJ3|vjcN=@)
zY8V(^cW&TU8xv;(kh_hwtrNF9AK9NPxPjlHZ-dD|e=c#h;v-X+{QwfSb2I_5F|sl;
zk@3F(fk3>D#-`kgB4YpC4*bPOX7224&kY8<xw$dAu`t>>nt|VOadCl}n8D1<48Ro(
zP9C<-2JQ^DPUL?F`Oi2aCQe3<7WU2-cD5ksxCVxHF3x;pWY7ow``_Prnz&p1_er)+
z|11kwAQ<`y_#Gn?_}{UCTX~`Ha(}RJH?dY1v9K|*bpoEj&+(3#_s{kJf1mvKiT~$L
zjsM>Hj){fy|K9q4KKkcYUNCe8|7S&i&GqM9z+U_>c)|bLp8rKIPwod`I|waA<duO}
zIOyI0FNnYo>c6kh-(yy`2q<h|U<6?#McymB!yYUlx?`)%cAh+gj}xRuZo69cLVT}`
zt$ZM*052Mghwuvil?e6+5kb)p7}j$LdN?1vMc)f@OB}T&j|)|-Wd2@oVb@}obd6_t
z^2qe&@!B38&R7|4AUyKgUVJ%g6J81Ohk---=Z8OOOaM#@6)Y?~h9JzJ9|3*{NHI@!
z`l$bX3zk%Hi}at5q3?FS74*0Mp^x)_u7ESn{6Bxe%fP|+Q@&Jv_1~L7f?N3i{p){2
z{LdDD9qxaA@n28)pDq4p3)uf*=fA1wf42BvPW?+tVE@0#FFIamx47ysn+~teI_-R~
z(Cc8VR|?If6@LDdHFkv8jXWvq55u*z!}abjpPPYSzHuniZg>2tX`;n|ik4d~BH^4Q
z6UU;3OOpu}lfoM&t$L@B6dgMmR^mn+f3uG^@cr7!ai`mZ%lou6ozG9STEsZPdLo5_
za`4jZZkXf^gNjtQWL;cSzH<O!5!%;eYkvBpN4GM<%8Ulzp8M0@^$R6W<bx1@4A2?I
zUq*@12^S)l9xpC-pSg!?TJ2K8UZnYf*g{uq5N{xHZ#@Ow{&5W_rOmS9zR^DUfID4(
z+1P@Qn^}mvo}Lb(l~AX=qAlsOeCLpH-}XBux3QRE$G5@DsLxFmL!ul8*3q%&Tl63H
zDoF4moy$+7J)=Vhch1wqjhGt}&oWCNFCNUND$mL!3#m3$Ykir~ti2|$C-XB~bC!V?
z%>QBP^c|y46Q$l`lS+H_!)~)jkrIDa>(9D?rq3?$aTJ37>GX`W<bU{a3_lzmSTC_9
z<ev66#l5M}frdthIz+^H5Ts@kWFMV5osGI}vVMp~?B$%M27W8dJuT_|&DiJ3@{m2{
zeqU@oeT#^k#Vi4r?S=F{w`jidW4hzTE!(`$+xNb@ty){9zwFBQ)ct-35KI=>zUy<d
zqeHQ2>sj~JqzZ}3a?&c3Obk5zmFu!(n~MQU2e4_?gl|EA7Y>7Tp4O_KWW&EU8D|k>
zm&nPn9)6Ku*R+o|h$v8zOkVHLbuw9_gVWTYP}JQc={uWz80=l8y;Z@tqu5|rrS7r&
zJ5}+me8dnt!<WY^G>@Z>eeHUm#llYs{aH)-i`w>}$I>15gZwmY)ZvR%wHkycA|<^0
zwCFz1Yh(;i$O_+f*dJaWsQk5pK~Oi7T96SVS*3k%WpE$IX3<N?Ga}7y=yX+kWUzhI
zYw`N>G2-I%L2p5aovkj?fq1dKzKn_|cZl69;Q4HH^rO-xA(s)jx~&zDQ~<qc$!H51
z!uI4nihE<a?Aqk`(}VNVI;bEq&AM&9BCpzQ(V0`V>jU8QFYUOKBcS%cNQWa@zF+E}
z)VKAKUic9FzWys~(dNjJ>OjTNWwUbH#V?`(f^c51O<j-meHF$&3;iL&>@I><gucs+
z0)|D>b!+g<eDW`ov%zmvZ+>-f`;2P22`)FF7IJ!?1}Zg~ZgYD54qNcQ*-HJixhWpU
z?!XPw!(ajok;bGh`Ujjq9}q_Mn#tT+d57{nR6`{1tG%Nm?k`D_ANnrL$r8i+ni5**
z#xr-eDd}tT)13}`M)2cB`Mt99H~Le1mTVbKo(?!E+XSu`6qburxON?_5c=Hi1~=x@
zjEl>*=UTCAFTS|7wdK@))0B|QY@<eReN2nJo6{~-DI;S({;j!1HuFj%2?&kq#&3Tt
z;xBlMWbXT07wZv~7E*RyspdqZMqT(&(kCx}ch%I<TwA8LxbAz2%AI)=TIDwo6;ya2
z8Z|~5Jrld7@`9_KsxBu0!dEfss_b<ZdaGEW?F*gGnrw(kX97j9nh)#=sa9CC97l3|
z|8UBIO5V^;6XQG|QVbDqX&!WEKG`1x|8-Q&7v5ZMB{HdX6T1lt^`U~MFWZD!`y3R9
zPRqpej`DgKf8O$`3)@!2J70cYQH8|6(kpYG@6f0VJhklGFpJ<cL5YJ%%Q)jk&wd3{
zW_CEM=r&fQ+Wf$pO}@^oyD+a<!nYGhIFa-}=>DFJjf4Rzgo)JoD=H+c0+I!EXi;XL
zc<_TWJ3NaPnJ+D@unfKJ-dx?aTP#+zJ>+ItQnN{K*ZH~J6$#UFN2RaFA(MN}44-PO
zB*oEb<t;o+=ET5oF(h;y5yJQXb{lIlgz}OA5O(9y#k?c$gfSt+re=(9zBwnq#KY^C
zWlEKCgY;6x^V&GLDh-{%5rmb;I$6r$IekXv8J@Y(r;j~nEe8j=aB#*X?;T%L0U3=7
zt^FU&bcYL(&x{WVX_4dLyFc-qtTcp`Mm;=vgqyFtYgE!9N`2?$t`*(&rnWkY&v%af
zr^_1eAii}jcYAGqvNUa@D|a?YI|k?uHc|KmEHgUn-)sQO$Ygfm>+ukd!&r9jAYmn)
zLO!zqxBfH-x6vKG#X$UP;O_c&U42nr7EuS&Nx5Q6Is@AR)}c~Olk%kzENnH2L)Y~<
ze7}MBS(EdhrLSVRk0l|x-v$!NMKYvQrO80tYLrr1z})Y|8{D4aAc)#E@~vjlC#n>o
z*mk*v6;-mY+J-jA2S&7iJHn9Q024%t>*54LhsWU<;SaM3=)`irZM&(SPYRlAUDRy(
z{L-CzSGz-iVV=UMpzPg|Woa^)fR5zcdQZ`oaa?2nux1mV-{&%}N!_qUe6Rt$WN4v?
zQAqS~{0U|r{TpE%DK77`zm*O6>P`x+=b`LDrcJ}IuUZ)(^BEV??$*thgjQQ&G#$2>
z8O8IhBI2fTRZD4aQv^H)wz?+$P9u4{w;qmc)fGLLlzwU_*zUvk?~0L3QWYR_<=KJp
zLjC~G0bFJ;y1efrC5;LwWMOE*G;Mgj>_~Me$%jg(em~r!%Nl(36MO_%Wo?jTcoDQR
zypYtW{@ksUfuR`3l}0`q4sPT81Nws#CMe{QZ|lWhFjenV3S-M4;|^j-?Cu#-+c@|{
z=h%DMu)b<BU%CC!y81z<?gB)m>-@ZVxju7y!4gNdbpYb#_PtQ`-gmq#j>juu!Dq60
zT<1*+_1m%|p`DCq7_Rd}8nusq<}3skB%numHcKpXfx}j=E$F$dBYL`hnt3+oONLsx
zfR;&tXI(Rwk{sxu5qWOARei2aB`7EVFwVyT>$tP5RsIsXT_AXP;@6jHggh>!qH1we
zW(m_3G4h(qVEVct_bdkR39|E--gu)e3P#)#Fk<t;P9fmy0^fsg43J~G?qOF?|11<v
zZFQ&U>~yvAsfqQ26NXvzsP)U-@#GWd0RntdE+aAub}d};A(1Asro7sacY}<G&Pq&9
z^ThZUO9G5qw~Kl@zh>wT6*F}afUTh*x!-Pc+zhi`sFy_};ipG<fgLlMFD)%1^3lNn
zzW=+QUlZIP&&9y`(sJqFdVAxTTp}I*t}|<7o{VH{dBf3`t|?x}_4Kd13!jgloSdBQ
zl~fFdkoZz3Gd`sKs5BmkJ3Z+mkv`iRkvzlAxyl?8f}%bWY`~SDE_h{Z<<ObJ!%1}B
z5o2Xfc`F)xbl<4@*kWHelwH_9r}$z!%7I3{0=naI=%Z(cb5+8cwdSN=mj@1Buv|`C
z2^agbSfG}l*%*K00S05oAdT2F$R^eN%+SQs-02~qyyLdVF{S0!f9Q}Uc$slNhq)!8
zPz@H=(Q^QC#pCK|1&sQJJ)zC(%G1XC>G1(MrtL-5tG}Z;V>Vi+^^}*{1Y%@RcenB`
z)yMHpmqs-8gZIbewcnQ16S;7^iWEegcD%C57@WLA0R~+OSmk{BS)vx1xqfrD{RTBE
zGBPoWh-Z+*@8012by`J^{qG;}{iYZ*e`|Y4*a4AV@`Ef#51W(ewFJ-Z*AjZFou^(E
zo^6l5qFCuTc=}BwM<u%k42>yh%?_{Y1!2SIb+4=<#>1l`pjInZ9@vqcNj_uLYd?6~
zBkd_i=>7h0R%L>3*Q?Z7ezIs&G9qI(iAkxbi=}^spE3AwVse0Pwb>^+Y82ztV;oEJ
zyg}}Amvt)m^7DS&1bdUDDM@`64A*=EIlbF>@{#BH4(aw-R<gxZ!2nQ7-M2Sis4p8%
z=bAdvQA3K!;Jgm}o2~SbURFiIW+t1zw4eXcWW44yGMN`}XnI^TqR7w@*{I~)ythFg
zZ!^zS@T=NzN0DAH!uwWeXyf3pjuEz6jhH<ZzTSGCOgf1^RxX1(MM|_cn#2x%Y)c5v
zxaRr(KcMv4zXe(7&{AE<b47_kR<lvR>plMY0CTdF56>~~KpM-h{6(ejvGLm*6Ah1*
zvY|e?h)t#`yv)s7<nlk`b(Woe2x&C1EL(J>S>YxnlN3Red-33Tk*(({-_xp<AJnG6
z%!dYn|2`|Pqtig^!_D#WiVnf#)pr6%@eD)8%}44vhn-qyBEH$pabe;z@{tm3N17|;
z@uzi)YU6c-zO74!p~3hvI_~yD*UbU9t%3T7!gMsH4k2HUTxp*|=62Ak<m&CkejHej
zpUd^&OYRHU>YzXzXpq6e!wKupobsK{G?drOMc&CP6=~D6%My6}WVdZRTkz{|&o#>!
zRcjJSkMJr8RZ1xY>y0ka#+%wW|GM|w_MB`~ge|O|_O{?SSL1ToS{WcdSKkcp9Yo|y
zE7+>!pLZLr4vM3260^`G?~sq`dw);$)hN#I`Zr=9GQd5sOaIBFui<>Cz)72F87va!
zL+u_#i5o+SY$F7_7GHX_mI$OWm_6F+h4q*T?b3F-XSlX&Wk|eBx_d>q67$c)3omyu
zcE|3P=s!7{N$+MW)#=?Ap`1RtrJ3CHuAd6^g-w<g96bhsR8Wn~qTzDIBIDY9?zro*
zKs?my|2XXff-8|+3}fz-GctXh2?_6l3{>_ML^@w#rkhUfIJn_h%zn+2*19C*BPV%i
zR)CW7Y6d^+T5rBp+~m^@T&SkmD&wKXGA)g-*{*0@YBOJc?NP6TQ>4LdSFK0u>?Iif
z$&X%u8q05vcAHU~?eg`xh)R*xyXc;_q9k270H)&8Y?}uhJmHKH5$OK$g)IN5Anh7D
zU9n%ms)U~fw(Cjj2DcJ*A;rH6JVz<<<5MJmKwufLZMp2FbiZ6TyiIo+#VTpB)ZI`-
zaFWozl$f`(Iy>wtT$-uLD)6WiV$L%nx>J+RG6QQT4b*T9rJN;i)Rv)&%Vj3F)r0N_
zp9&+T_dv1rq-gmswpf3?#>&vB7B`C}cH{1dNt}LHYR%yp+0k%8U}v9sV=od-pxC7R
z>t%S=q}*O3o`i%1Muw^8)6)k$IO8k11hT(ktN;!m6tP)&N7c@wwV9Rc?mrOl*=*|Q
ze;pqUxh4^$ep7T?p!Y|obi(b-EgT&R>UvDxk)U}hrrGoLTOUmz=^V-YWyQPOp=HxH
z4?KNDWqDUgO$s;c9bOf&KOFazE|4>FP2l^{Ua0;<Aq4_p>#fnlW#@@o>++-q7Eg7r
zdY6l@O%@Iky-aQcGwO*K;ko=K*j}?{O|z4H-eC%HtS2Si4Bv_itCt^HPhXUjgVOb@
zj?1(i>7aJ?YEjYth-|m(wGWQ>=b{Vh>$27K3Kdm1t5|xLAOuG(`Eax4<cnG?_mdtx
zla2n^C@jqXIu;CU30!KJT%R-vr>`7<hP9|V{q!8cOgl`$!<c4XufVj@lqDf3&7OYc
zjqhgWbbxUU3(#!nxvEW|E7XTu@ji>>y+7`fD<czhU0X%@PXlOGWA)=D!9p(qSm%hB
zE3}ZWAllmY9`R!#B%!dPbMI$KzCx~;<6-()qaTpN+Q8{Ve^Lu9e4vPa`Gi&L$mNf(
zcf<IhU~(ss=P8$4vZ3KO#2`5FXyU|Xm;J%RrItwCM6llS>yTF82T$Eelo&4&mcJGj
z1PLO<Em&E1M5Mn<**sG#lPxw}2^p(>)#!ebQ)~HC3YT78Kb;9c)N11aOnes82=B{z
zGx&ZBr#GDcnLm7PXKP}}M%S(u!xceVg@WGbRPwnxoV1`)lgrNd`}W&CI`J;CXkrE+
zKPFWf^$}#ftg;`k{0sR2?k{3+rq~;mp2WG#^b)i<(W!8X_44b@E>R9nO6V`t+f;j;
znXX%xX*DFhtUssa^SVqpS?}Y~9Iv<0y4fwvim>?=zWDY1GtU?z?tc&na94KN+}Szy
zH_Itbz@T12CEDDD5$**^g(C@t0i8zCe5Nl`#+BO6C#6rv1fKd!HEIaW7*$KZlxo&V
zt*xy^R7)o_N=6ZK0k9_YpFsuHQOqk&+_i$kdWv?~*q_amq-*IODvoG(dlI1Rgu7|g
zTRV8oeEUW{K~u2*vt+yWAxX=YRL~Xk_kS$)F~3u<1Z@D3dxkTyt=F`5tL{`f3oUV2
zw6ri=(A&FpV<5h79lzsx4aH)my=~~yVZHYisO8&-RTfwx_zEK*^}m~jqznsT%Ve?%
zr`Plv-j;1`Qy|^-)$_<ANq(k@HJ*)a^Q+cDOQS~ReDCKFq@KlW6a&<fm_1(IS!XqC
ze6rS4ZP@c-zRD=XdZm5oda=o=P`lCo{R=!sdJ3rorbnq{MuupC$HpCZ65PKzWl~GO
z{f~cArOPg<8_CZ)=ndtZs;4n$vMU{$1sHS%4-A1j4xE$7M8o>UNqpWmEV-sBd8~nr
zt0d@uxJkqL-JgWWWN@pP4u2s{HDB1v@p#_ivQPO85iJ1@;f4BAq~~9Zyq4+AYU|w+
zb8XH|;I(&haC)_GL2bV`O{3A`S~lT<M?}Q1IhYv#0*Cf<6rY?Wsi2(HX9!xrP%?O^
zI}~g4;c6v0@(l;~pi*@lgBH6+vvZMharazl!gUooG}Z(M;n8}slG~5UW0cGo3lCrh
z=1La$O!95w$p+?viUY_5{Ryev$dG<j`91kgJX!phI_-RhF0nnD5&0w(9ubiM_#gr7
zMZ=0O9XB!8iDH|li_r{0+0Z}aMHBg8E(;X@*rGCX#JM@Ebm^HFSX-(zUa`Hp`uGYY
zco}UaLHtw6Kb^%)E``gffYo+!4&u^r`OAvg{aC+Y;r0?jM=l=a+!87D*Y5W;$5*N3
zrzc|zo5v?8zFZ^zqbhj@KU;md*by%(U|_5Le1!LQ4&gRFe@435OxBCI8RpX|y(G3e
zI<2*s(k{jZ>uS3~er+ns{i8-LNbPqA*=}ws+D;)yEt~f}CH#DwR`P1ednR@=g1@Jp
zIWcvh01`2S(^+nnQPB6WX*<GWD86~{<41U-q*OY!^cCzGR(tNx`~Z2DBnpK5vu(11
zdW&hdLvlAOlR@<c0qtBP3vHH?^Eq5TPE1j81wiG@VvuN&N}3R4HvDDcwV8IYGL1Bz
zYQ7YXMu%^k^is#uqZR?X_0E4M%20XMiSJ=>;MnBNcA;?k5pQ4mx3|XBEhc9cIy_R0
zkN<1Nknx)V@kj!S)Da=P5r_M3EP3_zdo&{M{$xGhUB#!GG5&af1U4ny<?0_UHua(e
zF=*Bv_x<Lg{NoBSC^An@4c^Q~A@b#GQ)&c~)@ZsSSIDLWBp+e8BENUtIH#6s#k*4J
z7RYBYUM)JwuNiiDckC9VMXXzX9saxH{u--mn<bMrb7Wkxt7+KwD^cc@3L4BQ^4~pU
zfKmwJKxFl#4ADx9%>p}@_jTnv<d9MALhyu!&S(aY*>GSomy_v)0oLvAP`=mI;pulo
zl14(sGt${It=as=Sp)*?1+OTV9IU(Mim|SfKan4(wEA$wK5)>3=reg8fiLpN6ZTX$
zN%dvd9s_Q}S@7zDW_^8q^QW3#BD%o+2j|xxeP}eQ^Stj*`X*aFoV;Qe##VgqWY0}n
zM$$NVPI0XC+w{M~73p=fFZd`bx}S}3gg-CX64jfW^5?hHeJcDuvAphawuN7)hUFPM
z;uh!vxFx6+Au6L4B#)|h5MR|to5H{y?|tD}b1a6sRzf9+ww6{Xy8=MV1Xi=z7;%GI
z4p-Pk4<`}$z!slL-@o;w_st<YzLLZ?0CbT04P0Vg_YYw>bd;er>b2JMid(}e@rzv)
zE$vNLbL}i`{jSLTe-w^xR<&4Cd2|E3LaQLV7RW~yjgarC%6EB=I^~`j{M8Ho#W5;;
zKdf(1E1P_cl=)={REd>PKHOa;zakfFoIYU>5TCC$F&Ro?V7$w#73?G4f4$K?w4LS0
zNW|kRqkV98w6$z>_kCBiUivr`NJ$?XI@espO|JX)>B(D9joGw(*VR+1^s~Gl78tqQ
zzO(sNKc6_dC^NhHqWqE`7H*@nnIuWe>0(bMcia8({-&3|s;WxtYf)QHs8W%|(Fs6N
z)1w}i+*SsJ(fKxBEB>yXxD*8@>WZvKpSs;>*b|o1*1wgnTBez^9?fEMdW7=w&@&nW
z`HDBs_?-&ySB!SJv4zQIn}sxe<kf;-H=8$?iG(ilS#59iMwe+i7`Z{S<y>L;LZO7r
z)n*Vs6m=9@U{+t7b)MK~7VqBt|H{0BqPYVv>!oIu!2}v3@1<Ic_!Gs&6c)3Cw0zk#
zcE_D@QjIFZPYUe5_wEzPd)`&NkJsy`15{a@L{fd6V7+$jVzr7x<-=$&bdKBE|IRTJ
zPGES+NQT2^bI+z?q@Po(!hYg@Uc2~+%UPB3sa8eRhTp)tM1@o}m{+4KpBUjgDS)?x
zR|ENpx2HPM#C#j~H)p-rqrgd<id;D$@0$Sb5OvhdY%%$k+^ov9cpUF&rtI#@Pl|xk
z{%h;w?S8dE*Yk-4t7hKYo!s6p2J6zakJ0tQ3-Rs~XS*H`ZSMPg^;v1U#x3w!Q1Ew0
z)^7HeZAR65+b92Y7udoPAZ|-X8oj7FsfD9afAU4<#-b&G9-I7uTjf$SIWm9_m|f!)
z<v`Nz>)#a8NsThq*=-#JylHq3{I-jn9(zTF#%tZ7QL?IqVXg-;5sA6t(Nd8FY#W^c
z&*Z#z$D=Ab9)A@L>*=*#5HE~Lf~$1`<^RMFJf+M6eaAiI-Y$VEppj4`VtM^bsbryG
zn`PQ3yX^pY8YR|{!Y&2kRRA^tmsXtQg&>z}&);-tvVAz1uPIz~Tk(k!UiN!>I33|w
z`7DPI*%zG}vC!m@#WB;hoGrI`i5MCc#g2DpvLtm>_0WAzwm@+$0!YIj!l1`#1g)bg
zhOz}5D<!F`-46<>v$Pn*oZ9(7PhnNq{^8bTAQ_xR$m2S^yLT?yjzwh~5m~HJQ$VlX
z_~9Ps8<0#?3S?5&oP9@z?ypw--o$_5v^k!_qigHCRGJF6PF}@=mSxZb8an1cXR5^Y
z&Q%DG;zJ)FFDT+iAHQSb0!t$GOmmSr1@LM0a*x%025%z_mtoJ<%MxV-jPWZvQNYhP
zmt+1h=WE-dUe>@aUwuQszdLA-Lcd@yqnp+`b1I6qr>U~1dOFeylO!+I<BS6mlvDG4
z%J824rZCxHr<aVib3Q?U#BMR!ZIT9l!K(Giw2TSd<hY56sy;<#^y#4$I`)z9zuQua
zpzChdWIb=hP^ML*d9(Qm?Ww>8#Rk88lo2>*m5fv+pP{G`)ZIOFchmtM<2{pEGtBbN
z;`6GHt@^>Mr8`rqvFZ18m&Iy1-A}b$=@^r6PP`C(2OvzdOO4$&)GUIaMg-q`s|uM%
zhqTS`@d1A4N%W*+OpqYj#9c;A42XNAHcGr6e9N5K&bu8Q%EfA<z1|zSdA>V!ITd=T
z`gDIb=D1+fz%@8&DEibT`1FjF0;R2=M!|>#IyNUfw5KLNuR9zr;4+~YMADq!=xnYt
zsHj8x3EG%2Uy|?pxg+DnjW51ta<TVQu}rhByQk>Z_xjj?yx|nk2pLhiO{qL?hX=}A
zN8lo;<s<)Vd1P-+pPFH9bHF;z#*`_nl>r<5NffmhjRexbo+f<>te6Z3w^Kvui^VmR
z0;U@LPz#q+&f%-)HmUW%XEy%adOAqAmBXqbFMCwg7VxiE3W=|F?}ndlRQ3QEsG6i3
ztsIl&@<OvnDgy%>u+8_h;-*Lv-)n;gwafD<`Js=<Sc|sOk_LB|kj;{ccE?{TUXgWI
zoMm`=fWa4J{@qVj_+Xh^aaG&q*ge)Fx<L{=3X*d>{WozEnhklSLM}Y8j-Qt_h=j7i
z-Ma~shqxnePXHazxR7wb42kpw&@SV$Wiv@D!lK;e-a!-Gz5|#e<zI6gqgbybgWCG&
z8@x%ue7d3p$^%wS{5Zn$K<nk>VUZj}yTMkcDjESOsI|UB^LV(uh$<P5Ar0#8>kF47
zh)WfXF4~?X#l6fI`t+iAdX~%aEni(hRO};^!|AY*I9V!n-c(=B`SSg1r9iE(D_(TQ
zQ{{eoWLK_ivX&e1z8UFexfiNgHrX@)QjuL<to4LX7OT+pO^<3+8@~(u`Oc`f-z>{#
z%Q;ct;XHoPV>?66WZ)*pV$t$vF@@FaW16v!S41+s1{t?-Rw5K^#iTgP_QQ2;^ezEY
z%KvLhcLZPEN_onM%AcnQt#?8?Gzv_;jy|-(1%O*2Evm_G&SVQC7FKlv0GPDg<~1}|
zWfUoYW^#Ejue9uQrQ;N9Jzp(KMoymZezGRFdDt$K&Z&^;xkpndOD+}>^Z0Pbljw0b
z+3aF9(K^t~YCbNA%b>YY);w$T2v|KU=D$`))~;`hxjO&c<9MD|S8I!2OG}wy3nuc$
zlM43%qV&K?@rl^}KZ5Zsf$?4pGOBxDG|3UC1Mse>SEx(c<(?&srLI&GJq?fRfju^n
zfUkD3Y8h>zTn00<o_m^vNFRGLgO(~9;WdY>+*E<AXpr(qP5QLsM*ph`ea&ZXcR3z$
zeh(LFceBQRx4Bny%SfKF5KM1qf#f?C6HwaN*uJ@AVB@8g7Sqyf2##Y3uC-0-6l%qU
zb&OeB?IZRYerLRvpRCKQ+nB~?m9$O^Wj`gVWpRy-oVhYo&nMn}=Z5cUy??wra)k1+
zC<NQt@{Hjx@4Du+JA8dKTHULfil=Ume|MRzb_U3qc-~`DNO2}oJmx^gtHy5KAgNAa
z8Hgm_A6U=Cq;UP98~I<1bBC9sT$I>%J*htH;L0ptoevq5F7f=tYg52G43O%egW&ye
zH*UfoOPDw~Cc_}L3SGX!kyH(#XNG4$Y_@q`#2s}!>28f>*;$8$hQ@9VC5LBrE#-W-
z*`3Uf%rtddP|~~vXn22~WV~W+i-1=&1U2VhcEAfKETG9S#6jFJtuMRJp6%xo+MjU#
zglW0!ul&LjU@M^JPXu4L0Agqq4pqPtt=*x?fB?qtV!}+OdW6QtAbB)zT;try!_9UU
zp3m;staKK?k1>Gw1N_#SK={8A{nuxY5nK=CV{~)N3SHieH-)j5N@+H9cGOtR3c+pE
z*2rC?I8%$JvD+*Xi$7C?ymD<w=W^<O&EXAjAGfr~szGiKi8Z_<Of^Quyw3+Kb~f~C
zYd&p0B;3y5UJ|hOYvD93Oy&UbY54Ev2Y`>)8gZ%}3IV^2EZI)PBPqkY#uG)EQU)MF
zwn@ni;41&9WDHbImmg?86C(>b;7bdFMxVP&E|n7Xs+`uFt+b@c_Cz{0xq92WOxnI(
z5#9FIvr(SYgPJkVqTkIl41h_^3jZ}}BU}ycVLW<))>Fe?2ER+bG3jJ8!Xc4tR?;g_
zVYFA+Xt4$*>(%ikWPyU4Ta#7)=Kz=UK~>`Bk54GQDBe~xrLh2?cynjPZ$vjwRZ1wp
zuwQFFA;c;nHzev+$|hm@r=E%=6F{fNR<?l2<+v7@|9pA2`U~$2)T=9hlmcG;W$D<y
zMO)Uz%w$4)lKzh#{La91Q&@Jo&b$4TKRtzGq1g}$W{c6DC+Abi=8XUjHg{cbg>>a(
zfkL`;wg{jEKNgVV1MywB1D~X4CYv9&zn?l<0gbeigGM}%pzD#4#b-cHh4e>mFat6u
z;4S<=dO$vBCUV5XD0kx-5NpG)@?2`*af1_q@sA5arYL~%r<S%fUkQS=5nPEm$;aB-
zhEF%I{7S1?i<8En0G0&+*!9v`WwRmNMrHGoHa$T6i#q+U)CO;f3h8xxx{5uF1-FZn
z_7rKnq0_!v4(Uk*hV8N0A_InvK=9S6)$8>;@(tE-qc`%Ljhz&&Zdnk)heHDz%Ru2b
zn;HP-Ft<c2A((&<ug1^wxl?`)Cem#J4AF6O5N9Bbqe8hzQ52{*z4d#%?=@D<ELWRq
zcJVU`CFHjSNE#nQ*x<U&kUKZwCK4wQpg@KFV-7H9>SdL3WLS8i_p1QpSG%7Wk~8T7
zjGYh=Q$WU{zd7Axf!hEID-r;JQK*$`$I&QJHYD?IZrhx$G<hxAN^8GPxe?QBm?O+{
zk+$w~Qv;@}h9xB=0Zm`Fl*xd)B_+29)XaQ`Uq`Lo$}&<M8_dkAy3?e%h{$K#+2wV4
zfd^#*R&x-S<A!~ctL*-a&9xzy-%0ThyBosTqMn>42mOI9mI+cLux~9fA26f<l927p
z(F7EfkPu*r6tlZ%pe-Sw$d))&DF3F5`T&c4_o%+yY#^@Z3xjL-=U33;3XSr&m?``4
z-y{{WJ^Q8kE<^Ejiu|v~1*>Cb7_f=6S(~22ZLk__z1@YL8PYvX#{*cFJ-E_tg@3-@
zCau<LR?hjQqv8<HQ7bvn;!Eas+2ah>Jm7X0%Oo=4E7Mw$OU$!~yqC-fgZ#glH&A00
zpt#V2(%^Wu@aFZ&x+5fYJLSlEM>GVDD1vyyEYm|QCnqOD+Rx&iR-@q|k0RJJ(P?N%
zr&yy{ngad+STi7Cg%ts-zO|#n`ve2`o}S6)))`vNYQ31zas)Eu+lq}Sp2HZxD~13z
zLpw1sak>!qjQMb3MDozAf~i@}hDK@H<z<ZzPZm-m77z@DLK^+hU>Gjj5CUkQ2>b!;
z={JSk2y8n^9aR9)B49lFV@T^A1{5YAMkpMqAH5Y@@E4A3bw!$&Rb~J-NUDzu5@ffk
zBzA<7aX0BE5U?kX0YD%0wJ^P|--8RZr38@LDT-Z;aG-#KFHGO;cEqUn)UH<WV8Bq8
z)*i#*p#LnCyey4Mcd!kZi`RDprDLFMg!sg_@dB7rE&Mq}8)TtDx-W_-a<MNJ_@2?}
zveyxQ(ehwI1(|%Lx+PcH!qin_A`b!1iK}@%>8gT1%se^j8=?1rsjv^pW`S&){r0QH
zva@20@5AjttH;>}P~T&;SU&e;8`0_s!|BP~f=sQfZ62|SGbnU#_LBkiduk2q_@GKq
z3?`6E624W*j{{Rf94X7m2IR9C+%GF{fax|pJ>Hp2<cNwfS!Yp;JTuaHflE)F<#U-b
zU92J<l{En36KAN~6t54SE)*8E&@J(=8=MyEj08$;Z?MCJ#DVEKA5y3R@e#oARY@Gs
z!izgZGex;Bp%D?RaM~HDU`EE#FBD_GILVAU%#<%CB!yKgbZuma|Ac!6Ps6*PwWE2n
zd6HO0xNT~bWwC5pW%({8N;GoM-O6kQP_vNopfM<FeSl35?9O+`LUTa<!`F0vLc!Yr
z^du%~1UeD-+o7bTFWp_lpnVY%;De-K)HhPS5l?7d<G*oJ_aIq*kMH2DAflu3RMD|@
zWbEuS>Q6rN?>&y*>{~2}@u^7<;tb&rr`Phq0Fd%*m2w>Z2{;aNH<m;WJ#$C<wTr^_
zXqf@1m9Tk!zHn3Xiid=o=8SU#R%fYJ+c75D0?q4=Ep7j_n%%?)a5tzAh|HE63j>d8
z9WJ+!oR<N{z;IOI;e+2P0r<0ai?}577i2=#Za{sJ$!rof@eE3C-hdY@?y$z93Sk`p
z=_E?^K&_DTabqx1S}Kv20+1&x!O9!`zkSJ~$Nc6QS038?FeSG>zpTeQBak>u=P+HU
zsl`gfI0gZv4>ovh90L#vk$3$nfXdf@VGg=qbQ&9oqmYg`=_6oj(P9;x$uuV7S7>#2
z7)W6$OkmXcg%pE=L;Ds8ZFbWEmM7CJE;o(L*Yy&kI>(vMM}6CEuM!gLWhM4auU1)H
zfQ=|RGdhC7V|tqNv??wnak0Crgnlsx$qm+LqTFSFruTY1?-ZY^elVS@W=GnCoBakT
z5wpOVdOb%e<2gOMs9wz?4|Q|8)0t}aG2iEl8crX8xW0JxpR<%C%D^MuyR?`C`3FAM
z-<3X{-$xTDy%K9Q+Gm?rrl*VgWnH`mpkcDwL>eF9ASaHQ?Q;!R#~L?dS~FA47q)uu
zHK!TBq)#c~!Bzlc>3Yn)hN91RUqlN5V9a9w=MBin$Wbu!_lCNTze<I{toaK7Nh36h
z3z5-eC}Gd4bpE1=V`$PJ&qn_<9}`X$$aZB?3SesBHR!Z{!W>vECM=Qa1kiFZ`rOmx
zw5>R8Nt9JevlNU@!U%K~lCacJ`de14tGr8N$7bSQ^hoZT;zxuf0UpNiPJu=pI?l!D
zge@=*ZU9ifPy<R`6j|P<l3}T(u+^qjuYrn=a)p9YyI#_Wqh<rU?293#D*)w1j}JCf
z0C1o~e-oqwM8@0^2qF#>Ac*&c$F1CYxm5%3eM<2t!gr1!tMN3>pJ|2r<14#gzP!d~
zHILDbD58*Vc;JcsT<BBF>s0Xa^t=D_IF6)R+vW7RBxWc~G*zknQ>o2K0bpVpj!G__
zDOkcApx)I$8X@1VijtfG%}aePou}(<WzpR_WTe2OZ{NQXX<>F$o630)5nF$z229NU
z2$kV10Kf@!3@&(}U>Ebzzrbpt#w;3oE?{ka-2}iwF}vz=zpEuT;w$ziu`5rbdTSoS
z-&N%v!sQ1kHt~V13E$}RTv%Ev4|#xmyrSWl2ZPP@bnR(H>=Dzp`^V!dDecd96u7)D
zOQEN2oOPb~Z+FPa^=BN<#>0Ugz(l5z?7nJ~7*=S>ymYzrb7?AqfBMq-&B{U`3cw|R
zazWNtpcjFbswFB6aF}j*XY(H5jEQI;HTr8N!I?5GGx)Aw3#HOPZX#mY|7pV^GXvqY
zlKiUt`!)WZw~n++(MLfkU^|s)`+VO+3wYQKp<+OQBO#mXdmqfby8+4+&^l|i^RD7N
z&{~?PDQ)Wk0vanrw^=Nbptl<oGP;#Of~!+Yf4t>qDb*9#L_b?d21f%-N-mV(4juqo
z$MHp4f-r!DfWCUfvXPtu$Y%-P&pj;^WUO<3rCyk9JN`8Q+T8e6XJv+xv_CX1?>6w5
zyUn2U0Ev7dd386a1x>(;<Nz%o;JZY12e#V3LzERb-y<X;*oSXr=kT*wCDLCVJhH??
z4A7-`s8nv+u{@m$%uRwPv$j~`e_NJDK}Vaf3+(MhFd?Zwu;gdgTjQ*N2Xh5L=??(x
z3`TuXE^l5hfYtRzOH^~q6Rb~CwHvL$7mxFs<&%@;9`BA4=feD>fhh2SA25JZ0tRC`
zLMa32;5hcqY(>_)t!rRyrv#vVJEx_3u=Ha!1O5Arh^E*X2JSehaQv2F3Cvv?%h6vD
z$l7QdEy4>xf}Mu{Rc}Lgwmp^%kSDLU+Aob{llK!e^|f|0r^M(7iYj|RZb?&9X1@j0
z$9!QrA^kWM>LF3%#K81TU`t>fAH0I4+v8B_6`&Q*qjOSVwe++%GQj0#353)b(AA!l
zk5dAds{{c0VF-{6ks24gI!4*240*0;?=#t35~6nuq!HC<XY$kG;O~JN#DTm{RK_9T
zWV^m7=FlQ~Y^PO48zs=4O9mRppSOfv8y3%Zj0Z9c^IBvXO&Zv!sriV%twNhVkHG3K
z8<_g!0V=xTyt%yr1fwY&R2KuCiXlMutz8Zd%^XqV5V$$CFgO?#MBr}(!Cp}KX*;jU
zdW&}+0Z;X%+JfH&rjed`oBjr<cFL{-l&u=*<n1oEwLr_=n3$Lwz&ga_He^zAH@C|5
zB(}a0CaH5bFfd%zgZ^4T8?eB39wAc<)L^@|<50qi2uq}ytwHa3d0>&}y#O>fj0Y1W
zi|hBu5r!J7MPkUcKFScxNdVa*G+fFTNJW>=XhU8S0t@ME!mEV`W+J`{@Vnj*D5wb+
zN8Kq_rx!WYO|DC+-~Van&Cn{LzzP6t1$uV$c@*IPtBWX_0LjRv`r6h*C7+oPjt3?P
zsJz4mx@QUim7sX{?w#1!NxpRQ#>g1Q;NVChJuEi(i|le;zDv#Roz3o7Alg#^lMKM;
zdfFqaKLoV-E*Un6+3WC^L61w{Q-1A8gC55MnmYqP#RkfVpbb-Urgosgm8aY0i3xNJ
zP*h1`W3$Q{7NZQtrelip|3bPiw2_HIhlq*|EKslstM(ZXRFbQwn?t=r?m*gWneZxI
zsiV^HbGiW2(n_&PKx<&>{S&ILB)nF;r*=hpA3XUbG&!Wzl}}3mywvmHa`yztW8oFi
z>OFv)im*iOQ0YMq^V4YO_)~wsgb|XkRP=7i!{g013DCp|cRpO4=ghmLw5oq`rdVSt
zOQW#=zA3Jzy=iW}xxgiDyrUhvUsjVNTEbd_1(+ji?v}_d095J3d+9(K)|>Pz>^9Ks
zFupom68n(OW~EA_S^I5*r)1rG%4(wXA=B$H76ApfKNO3qdkUj&ICefRaRxHMp1<*!
z)HAhT%?XB+11t+1kwaz!M*q-~tBnqq4aOiL0Rt8J2JhqVh=%g91!`q&13=$69-yz1
zLC;b1fXX?4&v@t6&P1-*B{C7C!{vbnje6zRjo}m}pa5lguD`GkJsJX4bK*z!Ey2ni
z7YH<}n`mxn+Jn_rnhnVWQZwI>l5Ma-F~rai%O2&L0>YJR<Qvy3IHYSqL9Ylm$S;Z&
zpQ{Y-hl^Qg_8I`_h=Va|jLTiTJU<Q4nux2nSs?gc;^Sp0SMj})*z5O?PrWxTf#?iF
zfD%2K%!r~WSI7;nD#r@g84m-ztNCR~WdkX<xUa>{^>*C5_&Wcq07`|)99xA6-P5@_
zb!PQB(i<5Lzzoj0+uasWBjXOH0}kO$QR#VMNlw@8G{(1m5d%~-lGOBkR8l$Y7(Grm
zPBdo+djZlwU=+5{U}qQMG_xW%^1<K<^{28;joBExXL*C&3M07nIB<v4ID>0!NpX9W
zRI$>U1!{{?;uQvQwTL7}oo0!Asl+_daNMXTYWpG?SU3yd8`0@v<LQ(>@CO2ik{L@=
zubcBOjd*}`yh;bS)p(f}2f5%fAPr}`EV=6df;b4RRJ-g=zY7*{U;5r9Ho~91y|>iT
zP^#TD`P$InX^HiT(NZIxQZ`S!$r0M5-<>Xsr`M?NhG2xlnWRcBwdh{hi_NZyu3W_`
zA<p8rO+mHyugP*9o`EcZ4l5HW3<+|m4+d_r?vm?2Wy|j!Z22L@6%V-rHT%w4xZ5{*
zHDgQAR?e)RA3n`gYld)$%Fc(6cI`L4uWe%~q;c(j^4U)5t_eI|3qODP8uTmtz+z%$
z5;$P{=6zFCq%Uw7#{_t$BcN@Pby8i@skzP)9cbLtD$SPYH69kI`w9rT93=p~ng^T)
zQUu!Wp;45%pPq#zvO+s1O15%IGk`Z)FpS;+d4&RwyIsBS-g2zSG-Nze$1dEoYW%Bu
zA1#N?uj$v}2W9PrHUN!b@w5ge>_$F!F{AO7WgUl6TfIOo!!jazxz(d)IF(Jhc6*^c
zq5LdH+43^sp=5T<YPP&TE6X{_i3*+b=hS{Gt3@2E_1rkp;1r8dh*H-zrYbN61DBSr
zBSYYj@=>N!4-$N?|ML{?Q8lXNF9Lq;fErzJ*|F0Cj)&a?J%Gtl4VLvycKM5o%@*JY
zNk34#GhS+T0q`ePUZW4Z|8Cj$&SoBHYwm=5EaMW*WUpu3T^)gel+VI!Y3{}LZKmU8
z3R%8MauH_Y$S->LH+bG}7m|E;9i<>dv+qXhEPuv*$Wll6&;JXc<*<3^8XY!S3LCU)
z1~4;$XHM7WQ0wXWjYh%1&A_vEPU{-oVT3Cc%6Tj)P@zuvyWF1d_Ri^}x-T*OVktBF
z<f4c!J5<oto=Pj{W#K|={*caYlN!q)9HQl}<?PB!1eZ;-?2L&)ggIF#PeP89o+%)n
z;zd#au@3KyF+)CvD}G@pQM#Pvz+!y4#!P;l5S{NF1Gc&$?FV}YRJuhbJwprx(gtV|
z;TIs`RN-s!Zh#UghwkK*HSTgS&z#<58m~w7NnB=&0TKbB)p$u;Yihf!mnj>Pytg)L
z+)`qTRn238B`rGyG9##}_iG9d#c7j<c7=X`cDCmiJmrwt%fuk9t!AE2?`Q_6<OOWt
z`)`@Q7Ot*9MzP6O0S||Mo#IO;v|lrPCsYEscALN4OJ=)eUh>Tpz8$vclb_5F<!v2M
zrHxIeIt&T7zRWa2WkM(BHQ%6<BYeG}^|fzW;Gs>%@}TB0_u`;$a#fQ>UfK4ie08@<
z70Kkjnb19B%AJLpR>r>VzJ=DZ`#S16!5a=+Yxp%=I>rBouD1@WqHX(yVF?N<QUcNo
zq$C9arArX$?ovQfN>bVYq#J2a5Gm;nQ96~74rys51q8lx?kB!|?03I^J@;`uGHd3V
z>pJ5X=LGrDLd9|#)SWqK3^DO^3zGv-#Wj>*x#aGZ&wqEi5mH;g`?#DtwTwo>)9=}0
zmwA?0J_sK|Dfqf@!uc{3>VNV6NWzn1Chj-Uy`bl*l3Z=)bir)*?3hx&T=H42&xy&i
zl9Bz^!Q;;Uscw<s{sXT+vw>~$&q-J{WF0RHMKGIOK#?Nt4qBDb9d733;dH+f)>lpO
z3wqSd!a${){w-D#DwGE)N?3-fMaf{|hI71-a>xhc!GzQDOS*wlZ#^@oHr{`!Iy17K
zTHx#zQjDeY0CZrY>QUw2JDypN!7Z3|0^dgpD2|CTYuIZx-ie}ek)k<_=Hy~My#1yb
zdWs+nlpPkY`_S|}lnjDQ^WVvKorOPr&>#H$`FLvZofIE$@i4A<xwc?#Ch>D&ylNNA
zmyJU?%{<VKneRQeu`kcb*4Vg|<+Qt*#xE3S(SzRkdf_O`c#GK_GOx^b{(R!To8I|L
z@to3OgKn<IKks5W^oKXT6Xsml!NwH34119<K`Q4n+|BXK1wGh{R$RrP1DS6XPIZtP
ztg>puwGR<#FA299Cd1+rKimB#7PcS5tXxZ-7R61krsr}hNnh6LAyjUve=;H0A<}z=
z+-h!*YFyn8f2Sg_4tOiIclUAUv&Ei9{Ft$C$JLQ&3WV4p+OnYH&up@PiU0Tc5ShES
zWC)^`SwoGV6qrVC)oqE&ld~dPhrRLD7TQ`%mD5%-;|@RtO%<d!IGa8_f5vr7^^{XS
ztcx`Dp(vDcrP2>>_?KL47re?KDmwk=6W8%ddgGqOzT3pW8)$zn!|PSYX}9}AXR;p{
zk0EexlerN1bsN<9%{s?<8FKE&uYS2t0~K1mfn7=a^m~ScOzpkYw^C%(Aq7(G&Ore_
zOf*jjNn*6^Hg{^wLOULdy&Cx@O3f;_tB0MkY8hFuF*IYm@v!ocNl0_<3Tg#OYf9S?
zGGKcRwk4JU%JCC-eWFUa@$^9d2m+!xkfCiF!v_h|dsV70)u}xZeHEg&(I_&Sx^byM
z`<+Nzo$Cfq7oYg>X|H@C|H~|gBhn@Mh_%<d=5dbRYY&;IU-i5Y|8FaN3y?;oL`qLO
zKXFSOOM-&=NWQAl1C}*{iyOH=nskgOL%@(Q+Z-srHe8r3j=4-@MDqQOtaJUg=T^fq
zMyGbE|IlZP>UmE!wjyC&MQiPjR1Ln$n*=KGt}tDMEJKT61-&`CK-7dD#d1#B0zGG#
z(a)(mH_B#4Kx-5T9UUFt)dakM|2{R~o~214*RqvN2xxk`fTOitun={edo@(+8N0x$
zGEF44t9O*G94H4UJ+8kvLZ@fdN$7k1ix0d82SS1+!!!si8uouzYA<#qanpl#jq@m$
zuOj7x;UF)<48{O+NwEgtX*5-<eY8_pS~)|;P1fl$yh4^FvE=MysHXqh52PddxRlrn
z(DDXdu|yY|hP#l8QkNBQ^`{CvlPSG#9`__wv?OJCV^%*z9yamoYSIL<Jb3WT=N2`b
zQhpeTmoPE01|-Fetp^ndpDp!p59C{kdq6pO^Ui$$trq))wqhY?W9{`gBxy<(&4R);
z9%?ZPtI>5=3I=Vfqk`Ci{yw9H{W~_XA6#r$xOMM%7PiY^p#UclP}#b=vGWGXYULXO
zI4B$jx?-nAx&8veXUlzjFXZvUzom=WEBL6ETdG?1zkAJVGpyjebT4&SfPhSKqtb3l
z@E=tRAbm<!v+o`|$#-+AGsZl1B4Cr>Iv~lC-gu#vr*_HT4~g>~6O!+}0C!(!dl(L$
z*fgwiH_Zzs)bSZ2#T1s~WS(}$8>xoCRz|5Q<~Uz#k!B`Ky#44!RLx_kij~T?e$<{a
z-ZChO%YH)EMai*sn6C^ifu6=?4XBpH8}5{MGb88v(E=K3HwkgiFi;43no3^ly*_K#
zCUAm)ZgJ1|S3BQwn}#MV6r72U9UdO$JgGyP>R-0cq26&y;WX}iURiEue-GT0Jip%L
zf$uggE3bsw-w$b}e@#futFf8v)1o&pA0tFpG+VKGHz~Qu^KviHQnrQIPW#9snpivv
z-bj$cj^40-v}LHYDR8Q3d|?4d>+YV!JBvTRybK@Y^)O3mAuW&3E41qM8mKZgZ*MF>
z6BNJ$e0jcXS;YwHQC>j<n*QsTe-*z8q<P*UoBpAhrJmzB+9*}fWuX~g>^fdN-=PDV
zBk54*<!P>ZPVkcautCSMT3Ta@g?Wi$AM;j&igGXsG^r$9t5}r~UrlCc^%CS@wKPzr
zP~p0hAcYe5mDI+_<-$W9{C6=<z>7*vKVRdxrTr<TrKQDP#8uCJ=x_V6lhL;{5$T+S
zzDVw}jn?{ajDmF)+=KYjY6^mtoT<aTOI|pCq@fMwDxl(3LE7L&rSI3UB-O>42Q7h%
z{<V#@;kaLEiSM*AUJ+)M%(tKXq#P$px?Oo|yh8pW9)(#?QbMjc+bzvCBYDNp@E(Sk
zi~NyPW2HKI%8Xbj1jYNlMX(_s2M>|=XOtXPp5PDYWERFO()rZttnh8s<PqIVJFRal
zRCW|xtBjgrB9&Y^#o}6@#@Ng5lEf<{LSFRToW1Py%y6JKyZv-7<zM<*wg-3wup}5Y
zguEC02}te%lflg$r1U9MoySvuvwHrT>D3*!qI#n5!~vEW=i>_%rB6IxRCPPrvPBB%
zG1Xhjuf=!r<0NAH6Ce;-6lJIRzX`}&&|=AmTl5SnkOE!HXJk8Q&_PH@82-CMkW-iW
zVrLv%g7eCNbe={oJrEy<y`87dv4x(>57SH7IB30167tkO^H@!>zf|RBffao@$KT%(
z3)wP9Bm5L%pa9|+xf7skN%IIVV87}?``&7`S?Y}}XwTcaJ)mRau4G&uwKA;Qs$(<T
z-5iWpny7wm<ng<o^`D?;f&{$}b<+AV9FQq&d0c@by^iy%7%SCC&mv<2s`6iMsj5YA
zgKh4n-nW#?bj(0dfc-$Z&hQE6Br~njjP=p0twt4Xx$9R8Y^mZYm8G%j{|B#wLyEb<
ztt2aZ`$Nj`&p*)bs}<;QcgAxhF95*vlWTq;&SnRZW~`eHa8a(dPWnFM_Sm}yg!JFA
zZ2wzui%Nu)Lf9ej){7@^jf2Q?g=4!vLVq#m^MS5)05tA@)Gl<AOF<Yg(YP!KZ!x3J
zocEppoTASDcbtGG<u|<<B+H)IZgu)ydT7w+nx2Lqm!Q8&QtG=%>>mjk>spO|7j`0~
zmR^bigv!{&2C0}{{L_1zKBn&m{yM7i{3ANJK02RE%$Hn*!ypfPQP)7@8bAD+Nu6mq
z@P`9>CMS(pD<V&776-5WGLWXws^C8@Uwo-X=#PQ?L@}l0GcQmEuInp@gTp$L`TJG_
zNvTx=(EfP&OHr7q`2jR2?N{RTaLM~<FFX$T-|w~Q26(W6v`mI)P8MET0c77WnDZ%?
z{l4DanQ82B(ja(9e|K%mm~XH-yk$E5VNbMRaYEOBH@>5vn2g<Utbrp~Zn@I@A9Vf;
z<Tk2xx5xue=t2&<nq>f^GWEYDW*>LnR}nwV0os$Bh5Db?qaLxhWe3K<ir<^sxLvP>
zTDV=mV!#7w;g$o>EbzZq5`el{`z<a|Qz$XZ5Fw9^B?$*#Kx30(WL66z0LPWrfWs}J
znnjIn$`7~dt96ih!j+eB25NOt@6}{sj|8?nU7#0+Cd4y3lM0|NO_TOBtQEfT=XzCV
z5t>mlKV;WPKYf$0HUbZ8_4Lv08aud)ntlTiVe63oIzN*eE1r+dKHkq?i1&}sF4IVm
z!+8}Acg!-S_^B0%La$$edlVkem~1QI_sr80_S*+Xf@*mVuHE~&LE;~gTj)w%5S)b5
zRA-JjIKQg=?D}CdFcm+%vF&JMH8nn^aldv_m;Y*ZwHelZoJfz$l2Dlb$4cBu@W-r;
zKk;nYNZvDYxR;1HPErT{-&gjW2~SSAny!+wbA#??N=<~74tCTRFeCIZuJC)6q<nV&
zp|)E$W2|In|1UJ_@<Vvlk@bZJu@K_^CEI;f))b^X-1V-aot<!@m*f`lMczn&_{$cg
zv%e!bwD+V-^Aw6@9&jTg`x_jei(tnneY*9~!+eLo`|2r8A-iJUa+yJTFwTFO|4zVJ
z)-z1Nyp1yW2?)5;$^c`3lh(O&|4cEE06;~?hLRU54>>ONkPCS1WFhLS4}A^j_C6W?
z+T+@|IWv`!)qetq3X%vH>$)qrFD6<*3Vb2?6Yx=|pG}xYn{``APhAQy4v0zPfq|6+
z{ZAGIKQ)9#17vArt^e>AA~$Fbz>5JXP<M&^5u<N~lF=czJ=IixW$dk_W`h<%)FVWl
z7GEXe#hFC2uw64^a0~T?HKU;|5T7<4!5_Ik|E1TjvWo*UPEJE3wxzZ8A#~sipXxTF
zfeU;HuoZ*)2L&3gePDnQ;|jT$Pkq5mv1%|MHG99nW%mO6X$S2x`kj_3AWxEuX&T`$
z&3bM%&vgNqFvtHa3J0sA>62ky=+A1Xg2K;#bf@S(2-Nzu9RhSjC#WmKGR6#*ORsf*
zN7rfQYXv+wk}=G-Jw1rGrH9EO_}~k36rkt$kwb*aM9$r++r6G5uyyy)VsO&>V~`f(
z2Y#O=21!@~mB{lUQ=5vBYRmq2JKv@7A6D5-Wr4nf(}nN*@VqlfXL+9VG2L}bWF?Fm
zGgz%*b6=e<9r)l#=$6bPg=UAi)x1*~_)QuFCf^#C<Op&2F*kmL+o^!t>+zQt*x_Wm
zlZJs8J0KlI0qfPZR`i(@fHl|LN>D-H6yN-jpP*s&L-}%?{j6HMp#%+3v-roL86SHd
zrAr|GGXS=kvZO3juYr3Ti*p1x*8V^sbVDJtn46Op4HahaleFzh%Sb9>;+uD#^h7c#
zCRJ+~0t5MLW)xRF`#{9hwwbR0yPnIrfTh=3k1}W7N$oNLjw<YWf`$@<VLT{v(y-vH
zf;mZK8c_1R&8dlwdye4VDN_6~QwFeEhyCYMrrspJXSw-_TxVw|_D9dp%sX|90S<G+
zCL}xT+H;JkMf5X|AdyiGSBdR$rGbHdi(5NLy!f&u{tjT(i-{I#+|MJ4iHPcrf*ao^
zfS2Y7tl?pqq#$(R4lw_<m0~w&auSlR-5KodQBTueU-Gsm!O<R{pR5GX8VL1fG%q8O
zjlVL{-AV_PpWsE^mkXC@+{F>Gh!i{TV)D{`@Ff(--cpw-Z`bwAbonI>UHelhR-T75
zha;W2&&b(p79xbvhkV^2hpnpANQa>HKf|m9Lq;MysHGogS)2eV)=*gw`<dr)3l4(K
zAT68BRvAn}xO@*UHo4qWm5848xk!MwX~3HHVr$^8TyNfDDDK1cMbH*D{j;{O{*SvR
z`o~fQOL`w(6T>BZntv#QLHV^-D~v)+2k0ZhjOGFD?E;;($<>^D&c7nLnRKg+>!T&~
z#P-8vKd{I%{kYuL?JLM1g~E<LbV{pyU~vkP$hZ9`g$>gbS!>Rt;~~_Pl*tRWzVQ^Y
zj93G@5EfJIF>((7WjqoPL`ou)nMUuOjjEa81Nyb+m9}?x$ZW*(Ov6t0R&EN;Py1nB
zm{ej?TMPGBtNz*>PeDu^Cm~8Rph17fGcD@dls_-Q2>&m3-|>(_kA#r|UDMEzJ}9In
z9owl9?V~&xDOTcKFUjhvKz_OOW8+;(Cjz^Dy0H($r3jX@aOpuCjeygAr8HryJqDX^
zwxA>kGcroWxUc@j8$2(ZN71Hp!JUc`iqMZ0p1&u_Qr&;i*{HBlGMw=TGzfQ}NANj}
zOq->yD4&-XQlPazsz?M}C68X8FS~&9hpwAS*6n5GpMO(AkXrt-WN>Yy3b`r4oCDjd
znnA(A(GVEBK$2_*_qqeXSPfPO-X`@e5BZ^zp}bP*vhIn7f**XeDi{8Uo&QyL=80ZT
z^X$V3a;ZCDO-_K=EswZT)<;Wda$5LDEU5j(;Q_A=2}#v?ffsF^SmqkAKr8GSF>iX3
z?<(`#Pp=O}e<jg>SU6$q#JYR1SZHDM@Mun;LDO;UgGBL@p6azvb)nFRj|S$nrm0F9
zGY!#^byCl-uT;n0jQkJKJMb?_q5wI(z=s(Y-_m6K>Vcl{{brJUtEknKR$jrN-?zKI
zV5+}5QrO$xgNtv{ejwo@9Isml;`7UlAxAmg)%f?hyvxVdr&Uu-MGXf@6SqnlHhZ88
zy${<&+zzXEI|8~;UjqSF6i$|cxTmSh4QVhqa>q)xZ?CSqgP5T$5-U|s&+`#67w{uI
zD6`%K+pRAgGuzy^EKbTw&B8m-wAU=r9!|R5PLD)CRI26_4?DI}WH9s18=IMBflRpR
z#uKo`;_YVYJV09_RrQiq|MyrZ2y*U+c>@GVixLdi_B00YnxX7TFOOQq##mYVjQ|xW
zTdl@Qvxjok+c!oHQ$>`GhX6=SF=+JC<uUJMDy;RnmH7TKJ72}xl=;Huli}w{#P9--
zXME2MLG54{Dxs8jN%z7TP<oVBYt9NhSD-9_y%Opc22(T8;*|>0(pUuBWliAFH-}bQ
zCXXLakncO+3q$>gk|zb<jTX-TE{nDC4p6Wsll9tW0z%brXf)qiomA=AE^Rv>QOI60
zcBea#ix2bwpF{?=4o3J_yFDQL@&xF)Uy0nmtF1mX<$XBC<M2~FSEqlxg;8r<f*NZ8
z(V1~n2xuoEY?^=o^L-5e`zS#M$(IVf&k9UE+C$0b`4dVu54M}}<q=8);A)u+D_XnE
zleIrHh|DT;o-ErrM4M4c#s+f>RBUn$T^>XgUB}vr%av|hMmIfQU;K0F8r61n+1Zk{
zl3A~Ff6X(CTSoQO?X|Yz=txLl7mhZ+S85=?pA>lk?dOM$c~WgsnDoc(fw9vd)mMr?
zs|@IA(q86*c~`!mPeu*3V2P_~41csK=pN9L{>_f_pxWqztSkAH(2>;?5v|I%eA7sf
zV>1CO<Qn>N`1!$_=7kMxE+Fh+c7!@~=RL3J-q0P<@Iua)c$RNzDF@8Y<iib{vv!W$
zTH6Ou(-2)@U|_iSLdLsa$=7rJvzQ=9*|msY!0~Vs23_n)Bb|ESX;^Wo29$^hw3w3z
zu9awTul&+j+UQO`&%H$=zqF&(x>E@dQ5O*5*-)~C|7}mo(G3jzW&d%>ez=DO0V6&r
zCR1=xj^nYXzY4~|3W5sOZxSbImKHN#tPiW>?Dz6VoL8lON=uo(NwX53LHmrthL256
zvsE%BW%BM&+hw>Q*4USq@JaFFT{>RmNc)x{$}}+YMv)o0OTb=R{`h=<+-2oxSZ&O0
zA?1C~MAyHh4$<kuy@TBQ$Gk6JH?p|TwcwhPilm-?qhVO9SiNE8J$u`@(JSqmlmP0#
zVvP^T`OkJ*he0~iSbJi5-~f1>CE~f9>K1zItxHNVLeX&tJh)29-}Ba0*VBmaO6$M%
zkKxnW%IzaROQB5K+3DsIYFIefw-;LM9;*}HSkg!nP`~K$+1Rj?jBMlWeqXL6YvV76
zE2&O;FU@<uW;V0#6+!-s7V&g_6BH!d+CN6(--PJ4LQllm{z9-_XV$qEB7WnFL9KJ=
zFWg3uJ%?eaUXb>5C}2N+occj9BqSuJGlp3nOxd9{Pc{gLrx##bJRchLcF}o#t>pIS
z1=oYWBpyy+#xy-CFP+q5lcUfK<!!qSMEA_E#eMUic?~})Sk`jFlZR*YsI4>C*l}JV
ztO?7c^rtWHAzD44;0I{+GIsgM9@v><@6LFs^PVPEA?8fAN?Y9;@PlN5;zNcXXG8j+
z+|p0C!dkOGH)(C8$R2A<&uuS((rh!hInDJM>o*3n?C;rQ(W;;B4YbFxYIfn&@K
z*Zp!<X+(q#KzF$|H*Yu<o=G*`Sa9&<sW!q=15%zOsZ+u@V**HS^=~D0H?2+b%DNQ6
zEdkZ|Kay5%iJ+sq?SF-`rAR3FtQp`0yC~c!J^v-J!tL~?uzh%n+@O2-?{QL!=%0uZ
z31gh0#BJWuGx+P!S=#Zsr=mG)ge-t{L80a!Nm_gy;dexvA9-<h4*E?^6ou`o^EbCC
zmjpt0ru~V`m?!^`bV~c!4Xq($lp-~P)MaO)E4Q%?M>0vqJqzaJA!@S2!#ODki0r-p
zQR?-6*~nrSn~`dQb60e03CC|^WANFp(WP7JA8ugQRfa&rA`GFyv+|KV4$`(YDJ~EZ
z;Gi*6G3_CH%EaT^kFl&P4mW9dzRFQdep27@f!GciHqh4nT#!_EuzBT%xguT;X2BEx
z@4WWMh6zXK&{l}fn1~rfr~CTurnGDsuW2azUfNf_unkiN<RIvWKB7{JLuSkTPs)CU
z%>+NP;?kJDsHrF02IdaZ2#D+W#_TbE1{36)Csp^H7J{NkIo&oV)f&A#Zr-l^mgc57
zSR1Ct>WQx}zgFql`>k~8ko!Pg$lKbXK#DER=h*7zgOZDLAcFr1#nM<Ap1!0w95pOE
z`UF354BTIluaP#1SXr13R!+g`YUvX1Fdeb6?`ef;$19`oi=9c@I_JFT;m<8x-@Q*x
zI1|B9EwAmnv1)!aKmTCyuhloMot3RwNV!iG_WD2j`pUP1R&SOSlFuhMQH4**7y=4*
zya{h$D&zWe!^90HZqQgWl<6R206O0M9W{**Xv5aGTCKUFy@0E@=Gv#HSEYD`sk74D
zSm?>_u5<W={pYD0JHLn2mB~d$4~!gorwX`mR+(XX!RQB-s?(8e7c}UBpx{?&C^H~K
zt-$n`K)3Z#I(*@6KZK8P9(~<tYhk=D@>MWv7PKJ5y=Iv;K`~|ZyZbVUW$TgIhCH2&
ziKnwtPP3CM3>VC(Db(_{IIN~>D-bE4Qo88V6e;!omD~8<0xA}5gLLF@Ldy{NV&?RA
zwJQJz)tv_PC@c1iQ@P_8(=gh?44MfZrv+I=XvRG$>H7?fJyxO2o5O|4+$nTma8PPy
zi?-hUV!FJLcsC(fiQ}nxuJ&F~{lVP(wxgKUUF-4k+<x`?Zhqov&@@sFn%dOymA$_B
zT~Mh8(6Y|e-<2>91x=s;2lk6|m8DH7<hU5cwre<O6IJm$DpZ2bvS6Ds^;&g*eA?ST
z{rGfno#fccccpLc(c=Cs8?%*TcljS73t_QB`RUP!0)pRm)WodSq3Zp?<u!Lp>g9rF
z*7B)wBTw<dwek5vkq%_I1yWel#7t3#@L+wFfc-<Y>2$;RCZ^Mk881$1f8OigACVrI
zsJ~P_-6%OeF|}Kou?g>>O#gJ3%)@Z&)P%6c$F+#NYzENju%?mvmm;3heJKKAMjHSw
zgeZk=JoVV?e-P$42uw<Sm9?!DIt!jj>iEFPQS02l^t?IX2BKah!rZkF`Z1H*vfN*8
z2gV5nS6abj_n3*TeYPhteCM9}2w`|N0Z1QSp#aWt8tQRX$euT!y;gE~ca%UJk>Kj~
z69girljTa*?;2)qHPE=Vf4J&zg21ZrLefI&3_zVt{f*EMR%%f~%(<-Cjpxnr)TT?<
zY#!A3C|))`O7BVgT?m$j@1x5AHijo)@84DQEWHAVy!Y`QcYvm)^<BJ-nB#`QOj1GJ
zPOwphqJ?Ut?iUzhR1o0U!X|BM6f5V9gIAY}W#)!OAWMw-k57SKz<U@re(x3L?s!IH
z_ovC>cZa8cB1WV6Fd)gS6(XMYRnKl>ByASzlss+=^#{`^Pa8*F{sVGUCOe$9F1G}m
zvcF<@Oh4YE7!hrWvj1V@6vMf`(|hK7xw{6!ZfZ*kn`mvW^g}&9dit+#6JchokBpzN
z^DmW~Co*cE-NsD|L^>dC+%=lKxtOf|gg@XT?DC*#9nQ4?43Q3DTtMA^p#tZ=$sgX0
z*HK!l^lHm@a_FvS;OahmVFXU;(Cc;(-9WNcc_Wdt9=kKCN_UrjP2Trvk!*D0WjZ7x
zyt^CUT?<H2PYmEz{_Gje)B%dR9NqkB<wHG#58OKH&rP?4f98K2I6Rk=WR4WK%ygq?
z7{a124o0z_<gkc6(tKWle(}2W*Sk8-A93_-I6>&%7r`04WLEv(B_y{RUPp>Qf9abx
zKW*F9aF-cxvqyM&w`N)hhK-~go=gjQ+-uxzl)q@RU*RJ8L%4-L@b&A?Jk9(Cc$HQq
zU6rDhZj*OZ!zrw$p>X<e>N{(@yqk*EBk6}4V^7PXcEwdePqcnbWe`VkietPM9JUjp
zGyY4JDUv+XNX|G*<~y<)aY9Q|P042+TW&X{heDyUz^w)Xzjri4^0XlaKyYb_;5&9B
zlfW`E(6>N?HtaI`2CGLFej(H-ThR)OC2~+@`vPvH-xb23&`^!pYcUDN(PnqK3KI>5
z>y572zRmkVmg;aW71R<+eg}(WPX!BWjtpB`h4lnXH>?|!$FrHj!ja2sYivMFYE9H0
zDsSMH+{C>Rgn?b^pVFGUl;XFEH?1pd)K}DXN7fHZwn+dpXy}{v>#pD1m-~dy4u4I>
znvK<eOmCSU_Kd{Ok)XOs#&aK`BeOwl#9EHZB!z)8s#cSBQ?=QzoPi<Gym9d>Tk&dv
z=hje?uuzmACae<WcdL|AQOv1iVeC>-^#cY>q7D(vSZ5ha>2#l$44FG2YSlVcg<rxi
z`ZDFX3Mj8Vp~U%mW90YYVFIvBav`J~8nt&PF1X<oihm(kxGy8d8}!($!7t;<O-v%$
zQ?c8*Uw_g_MEdE%FD3sdD-Xd6eTeaO4?semxtFwAmaj25ZW7IJcKC{VN~jT;ZX5)D
zl-A>)+(J7Ovid7r$H^71z7HL4V)rPgz$OD`J1jbN*(@P3L54WLKd}`G_iYfy<A|!W
zN@LQ$DeU+pP9vqZGvoMbgSAgpy$8i~0#7LO7BvfWR9~y03n^QiK*F>5hB-~eu|-r=
zRByzDnF#G43KzYz^E18^2kx;alQ$6SsuBkG=dEuO%ofd)<?L^+i7}JCVE%B>kkcg%
z2hq?xxtIi#90ccGO8z%Yc_()ruKw8Gw!4zAa_NYc2#xs^b-iQ!<7j^nTsZ6(Utc0t
zkNnRB!)5a}ZHsa|;qqDUT;qzja)Vm6&Q?&$s@xh!dx;1OYY0|?J|XwV;|+;Hm;14d
zUq!z*H^*TpD=BHwk?SP3?T^Yf<-sKjS3N>T75!}q9}FrG-NwKS>L)xOXIw5Ck6`Sx
z{kr&GOnx*od#C5lH=Mj#cwTuBk89Rg;w*q%ZOQ8O4g6n>jEulHX)i#<lK0g}Qu4)6
zfv!5p8{U7i=#EJ7u$yGUEF*>mt_$R_qs1<5{fxnzj%5(klvhY*HoH2gcc<2q%xdal
zN3#oC_Y3SRS+Kw42&Bv=(h48+I2w(^tcuv%G(xTg&x7y}<#C>vRfz}5fSqLlT&vMw
zp}M`HZzR5JAVmZ}ku`D8$`F>THfuBjOBOAHsegPYNM-6o_IMY#`$ZUM<OF*4FUyp7
zZ<@~(GDUk8$sXHX6H6aIdd*wlpikqmK#0sCjAhl7YrQTcOn2!L+Ar$L5dbN1&<k||
z?fMam$F^0<?_T&HbF(k*AZ*kev(lI~y@|<2m?2&nUBzLUze&qK5gdw5*lz~A;had^
z9rG187QL35<GG*8ePK>X3Y7reoYt0>4rKZfSg}i=^irte4{NTXHEA{rp4Boiw{%2R
z*mn(eo~x9!e{@Pn$4lhBMs*Jj3Xa$rUpJ%5THo`t0Wj?_#=30f90_QLOQZ0EF|c=D
z(tlf<CPUTUb-uiCGI!1B6_!CfhL#c;haLmCjuX;-jvtCt2assC99;u#{pv^&7YN78
zhyS*RQRcKA0c^GagJ9IE-F2--PVU@V_*C_LvQtb~usn}Rwm+c!DZ$Fo7|gR_*s9+R
z$GUVWKX5lCER3ov$a@;JZF;Rww60o|yZ0!-p6Xpt9FKmDf$c=fFe!mzh<t;g<w+N;
zU8t8$qay^9XY`~4#ARl~h70xc*$F#1LY;bb9=0{xxWC0i4NpwyhXuvWLod;ZsI?JU
zFf_xtk*`U8eYCwO%D*{lo+Oh9Pc3e}TzlhIBNpuWYr1(o;)(AT-2CEeG9#7BxlAz&
zyaPJ<HbAuEOxmplDRFiDAq<k#+diUnIj?rW9{Xxclw@axlC`M>K{lf`p`G7$@LuaZ
zTL+cYPcRg6^^t&ZQ^0l04v|oLYJmLJB#&Y28EYCDTZe3NfL5j!o7H{~!^G{e#)uVl
z<#FD^q^F<joku~+>AX7ha4c!60e_5L#U18^GOB@Vxgt0v!DiQh==NpI%VzK0gLivK
zFfT6{Jeq&VU;?n$%h3v(1a!=W$C1>06V^Ohv5v+PA2CI5HaA0~n+-xqr_D(LM6OVv
zU#0Ze^jvmvc(YYtPPfGW{i8eUMFy*t3O7hUYFXc*>R1koj3n@YE(Kd!ej6WUfp>nR
z=`zpb+~46(`H6~A@bhf$V_*5z(E6iCys22cILIW8LNqY&`tJ|VYky9^_@UkMiymtp
zreelGThIZ6o6JCDDQ7!keNez_C-&EuS>VWd%Pts8OOWY;(fTJX+f?V?-OTUbRrc{w
zf15Gr$EJg8Ht2Dfzev3(#?9}n#b+JwTNc8-5eIKTRixd+22RTG*A^uP6I~QRB|#`i
zgbmYf^rVX!ll<0c^r}IBc2EoMAij_wSE9C9-i9Z1_WrN2C+!LpjQ&^5S{`u8d7~Y{
z;mxW=K`unaC!7@&xJMB1Li5>_XWskY)#+HFNZMven-hK}Eq?eU&5+9I6K7uxq&$PP
zCXnD`>r#VPA~mOmz8QNiwxPb>3{rwxp|n`;kMg?Vw-0}-I(d(nCB`QW7lN4AnyQfa
z*%)r_`nEV-OEt%!%yFh|BI|d1K+*<2C{mIbMK$7!#rTaO8ELASv?>BMHfM~Hq>LIP
zKs-TR*r6&R>vN8&c-W8h>s+6%Kr0YRevWT7@HC*hhRnrPZoH)VvljzjcUu?CMqq;e
zRm~$|@EYm&OF=V0MX4#J+@tHT_SZBIdeZV}K2sRSdqIo_l0|7qNjvre&b75tIB$l-
zd?`9Ukj47&gQ;FZelP*W0xQE~2ohkOkJD-s$RWMiECo5+97e?OxPMhv%ab%Mq<c)y
z*_p_(^{}q;DKdxckna^{NqaH*BRZXjGA<$uPXnlfgkTa!mE5DiK*BNECTk>LEIEdZ
z$@|-K2M!t#b<km&B{yBLgc4YlWUII|DS5cj+Y|Td)!4@7wvN%UOXYzqG$j(#Hx5Go
z93STmIgT?gnLg0RmcV)PDmnA^8xEVmO%Yz&oaRi~CPqk@b+0Jzy?H^O;rYzss*{9=
z-+Z*64Y40uMj`?-Ox~rD;^1K0>pFa`-V%4$=L)N)iF|#11qe3Tn7L%E$PGVPRy*5k
z>L6iU(+}%iY#0<de8^P;Xzzuf=*9gF#7zX)ao>hwyxPf-c&Wiy4<YsAWslK7k|(L(
zue98LP%{#DP9-}`ul|cJs<VhcKA@t@X5Ruy>nHMlsH3x;r5~Gj;OL%QO-Z<kd4V`6
zJe)L3xY-jBU_FU8IUYHM_i{8&7!&%cZC&<t4<<si2k$a2(lw~{d~=Zv`|X`~;2kEw
zUu<*Fg{XQ97IRC;$!OaLQdeVoxd#W)ZGOyG8b7h4sL03?NF#(S`lv_(9Kpmi*63Z=
z<(4w7Hfezp`piK>AspvZ)%=YyxTf>(Z;3h8cg4-3!r~}~Z4=mrVmfE_&oLq6a+)+z
zrD3s)V>~9e`X0IQ2<QkWpn0xpy}!{he<40t|4~D^-OcBGk=Oi1$=iNjgxV81o30$b
z4*X!fK?$V$JKZBHM*A-;nBiW#Mtc2%L|b4F{{BVR^Bj!=>MZFGrEZQ#X3qITdCs{K
z9kxhy468I|ZrJ>0@e-`k-;54!*`{$UC_FUNex`|dJ|XN#BcYV7BU`q-@Z2IJ9gBZw
zc=KC0{2_h-lD}sA@~4?0e;?xVa!H|>m>iDxti~WVBBNUJA}{V>Pv}j2_F^{@4YN&F
znxXy8#btW3LPFpuNPr)WfqVTP{3hx_&lO==xCVZ-Xptgn32j2$(Hw}cJ;q^+stNGb
z{=Icut-E7r`H$JKzQ5XgwTFdg>-YcHm1~ufl$6Y}pJ}wlCg<*WJsAuO_c?NohNK*4
z&%Hir@8p?bVdFo4{}WkxcUp&w*ih2fV9YvM5*6cME{F#F!-R^nn_?f$J}{0K<VYK&
zSE>J)+;d`Mb4xuhNXyri9+Sv@8#V)NJ^sCyC<fT3ehvb>xH>^i;1XX1DN;P}3J*0V
z4Lu&C2WnSHu*s*({GF{^%k4;yYrkv!r+R&13QrwAwv7YtQ4}*aMTT<$K!mQ9>Nd3w
zDK3L|YBfXUcBZJ-slv#!*3lR&*`NNfNql~C{=~W*4Y^ukU~!beL<E(8cRdoDa=skz
ze9f<Ipw`i2<7{0P#qg5?2{g_4Dbkp*NjTBPRPk8saz8h8Js18Qv2d)t{9A8s;4Aj8
z<@l+G{Nrxg6h%?^jXsMEs&FiJ1rzTM^CPoGTn?1%8vkxDMy_s6?7yDhfdlUS(;|K!
zQ#!2U@*S0H4^X6xk#D`Ujnc}czS0wy<2d^kBwby9N0w8-hZc&$z@5}aHVVmIF4xcS
zCo}eQ^)$F|W17D5<(U1557BGmE=(q6g0)Rx68B#p*qmM1k%KK=gykWM8!6tBibWn@
z`<yEM&u5~+zK``gzWa;08LWM^+c#kKLg1cV9WOaP_qZwUpK{knI2lV;+-%^T3NCI#
z?(27t#~$ZeP3b*+<o3a35Y?u{@bew=v_sq}T4zWMrVXchja4A`b1$2PoX<O=@@W3}
zZai8H{_(}O@c-o>oAj)EJMFDM<=DMI85iSr@z`eH9KsIf2y*x1XS3@&u&o3lFgyft
zb>23$rD~fUjI>wa_PD>#9{MzwIh9WR5b|3Bq}a9NfIHonU~P^tqNF1IuyGma3MUp)
zoo><_bsyVBXvIkwu37#2;>>XIW6`;*yW((h{B3tu<l=MbN}W}oe`UL{X=Ozs+w}Jy
zi}j<&P%ZRG!|66S%i>FfplX5osz`L3+#k^BhfYqVKTjc1yqNLIlziPXHD&1C7giIc
zip%5t&Ii0gX@$(G6B@m}+3wen<%M|Xs@m?LcO(Tr>wC}XI+24kil7YyY(!L4>>yK!
z&etxIgUOn$Pz)j_9q6v+mX_k@bCr#}WPOBgd~h+sE<$#*{zF1o*11+FCa%LH%ly8+
zoX7_MQS-GeMz(1Yx23JE3*4mUP%f;BFfqxzS>Q46l7*@)8^jg^MaE)`@!bjMH#aD>
z5@AxIIgCmtqM`ZJCod}-2}AI1J(_|Pj~l_sU@9h%_4NF0V_24A%;oXZu_(waH{hj*
z%`*4#B*1?>!wt`g^1DJT&e94Nc%))N>^Xeu>j+H%V@N+bT&YJSgUFBy#Ux(UM`Ul_
zys?fuf+1CrfKhaS?GhQbpawmh6@Y-DH@GDmaR~*y86~=p<M9*XKI2)x`;m|eMNBC2
z5_HbyY@Z=JBCu&R70Vz+Tuv?+Aq)lGHrYYYN?brCWUcei4roQ9E@;}+U(|x6<puZl
z*Hvz<ILCDH9;f{_<&Z7YA|VRS?z5HmdUC0G3TyG$SKT80aFNEf=?(7}Zm1U9ZQWmC
zh00>EHR4458qA3RC_p+oI+`lUf97*hQPJNGdtYLFe0*e_B)}3(8?zz>f)nFXuP3v-
z&s)_72HPvUS3DD3HO*uXkCjfg(eU~m;kZ(cxTVxwgzMwUu1lgW(i4!9GJ$qm{oP?(
z7$s}L*Z#ezUKCq9z>gaFt<dcKGw7#~!a_9XQL?{Uk>*xU-G<%G!ik)Dy%24y4=!a_
zf`lG6VZn<~{CPj==UX@jru@Q^C>aK*>%sop31#e%l*fv;|HjzMP|~LpmB@I!F5u2J
zt~xFGNCziGF<;~)Ief=>hqkm%WFhhSKsLu<?bz$)R0b0w*icN4486t5u=1j0n~a$6
ziK<;UlDtkfs*quTH6FVk^vGS!uK1kGo(z|mK0v%aL>&a3iTb-@pV>5_XQ`jqboKc5
zj)&Q0|E<;3`rND%(QQ0<{K4wzfKdoCwh@;PqhMvkuiH;ntG?C&jhCT$rh^%tBzxrM
zM$K{>qG-xb=}e?u-QE7g7;%u8PLW{H(SMu#;Pcdk_BdaD>?7K{useDlz&(12W=pTY
zTg-X+C4#{Og>q-XKZ>Yx+xj&9`+Hj1@H^=%$hg<%bQKdIV7cRrfBf0^jobbc@&kc!
z%jxg()06{4{f{=8F^O&y!aWiT#C$Mggg_XFdl=~#g^OPL1H>a@roqL-)BN30Y3(69
z6`*O#oAq>UydwY4$w@Z|Ef6T&Y5S){qL7<i(vhZ@klb!gd-hX{!&&2-$?^@>=A~<G
z^N{$N(D3vq<^in#fH6e3SuqzlW!zgKo*<(`HFKwJJ;GGcSTDx9yX8T@LJtNx)!gZD
zTCq=B5zriQboe+Prpcc8gk)uDlW<&B#@39^oLajzTj+v962*-q*bSLe?VT2|HUdJD
z!b+$%28^iCE)N#c7nimPlD)v*3Ey~#f-%0bDk_nA@3aA~V|+`OQL<BSGs0Q%Ze2I0
z%vG=Is~vrj8y5#(p1V9a{bFS+3-u^tXe<<=!KH@EV;$#rbtba6$Gua8aqltuIb3N$
zrwh8s0kNtXe>pacQ!_6X91w=WA|iv5oVN+)66oF~u%F8uygGUqeBD*Bal@phE>mr3
znw&8d>@u8uHp3dP<%;!sWl#(zO0Wr+_Sg!Kx!{%fkie_vA%0u>C*$w)+rqncbrZk)
z@0xE_H80x9z0)g^@mTfq!$5{}U7lfqVaj^uqIDM>nBnlzAvZYiG^LyqE@P;+{s1+M
zb~w`u4gKSwZOtbl;_2oiru4OMLoJnX*x&Q=S2koc*_SV0tog{<hLH+y3Cd_&PTzqf
zq|d*DIm?8rlhRa|zL_wieBW9%sQUT+7ur|94U8~FYZvHb&ZV6G{ad;>dks>VDP&dt
z%JX|Cwn+B45ES^ZNfN7avySOp&sAe$Zll{cs>7zebg$hT`*(Xs5T;|OB*Xvmi?QNz
zT_PSX<4QF|q&d<**ZpZ1zH{A4J=lQm3YptF?XgUqbLt)mQQ94e(#v=H?p;EnG)9Qw
z!=@H2En8tWHvW{s(%X!;Bz%tQBYt9vSQNrudLidM-?l<V>BvtL0b8f~8m!XDZ)^)S
z4EXCS7_5N|m@f%~f)%6b&aXy|{<&V5NIM~_t+aV2IMIkqkABjd)VV#YJ0Dvnl1Pno
zoXFmjuM3RnW`iA4Pqc8vVB&?M<q)ISKQJ2M$$IM<T#$Gg+R`p#G2simNS@rx`v}pb
zr^c>mIDMq>>!wE`WxaIp$5bd&HzeO)8BrgsRh-C{lV5v#U>jLiU?ge?G)_ivgqi52
z!&t~~L7zW=MrPUpzWpIM+HAA^>HmB67qFOmgwQ7u4=i<c8y>5Y50zAR*$cx!AY6R>
zgg<}WHU04qi5A2TwzpMkB8=T<v5~2X8BVm6u#b+AB=Ie$oCVqW&bR+WVX@1YOq|*5
z%&MK1+bzFj?rx~gm&2H!t%C`U9ZS8*i!e+z&&&nd=4_DosKM+wiHjkSV@rb5S{v1Q
zM+9Mk3+HX*_2m3*A65-o5=F+=9h$jYTedDzmgw<*qMl)SQ0Y~$Lzw{M$gGDx(is^U
zslimk3hU75fsbzkzhAbux7S49w=qHL>DvsjbW*ipF~bnJ3gm-NWt$AJ8jp`s*!6w2
zx<AG)K=E+p<O599?EXG8GNKLN<=`@`bJfhwhB+*;v-kc9rARMR-<WNl3%7Q}hsInZ
z3<8nz8#*H5oCFZ_4%aw6u^%qC+uYo={^1TICRo=|_{$}*ZFFA3Tj%?0tIKvPl4I>T
zg&i8z+1Ux5I3t+6)$za5#bSP*n*21{_h;wh-_nyLQvW}{9LCCvt0ol<rTZowP65&H
z2HH*YBlcI0QP@TW5^yUNK9vP=*E`}}MDXrn_ye02$A}uEx0|e{bK9CGX*s69SPgj7
zi@>=^0ea?*fv_7So+*N{S`!V&_D&lb#Z!$s5;DWVF!|u)rCq%$yQfvOZqPKnjevVS
z@{$V~fT~{U(o5QhO|Nkn0MZ4y5F;<IhKj=lJhl!?g1!#=5{Fqyh?AXBvOZiefK9Zw
z+%9S)qWi#{E8k}P1iwY#)iG!kbqHE$(3>|giIL-8^300DH1dcVjj7E*Ku&%ONRfX=
zLBkv;Mo{<3dKzKS3vhF*A~O#W22d_1VAL2#(=3h!2HnN7sDAyVtAA)1=gT4V<nV1n
z>Sv$*+R0if>#fM~KwlG6=@TfQRCL*r_@Ay8bKytA(}cj&)ck#D!$bJ<vJ(?}k^z$p
z?Eq#=gpm!U7Sghtu3vGG>A3TEDcL?xB?Rc7{5%(y9#t6q{d;e(hv0o^xm}Uc6rJ|h
zIqL9)v!>VI(;1uxok@nHe0-0;Ro++t&{hsiGD9wdw96K7u67aJxyas1mlbxL51wpO
z1r7*&K1RL<J|j=%vcAsi_qvZ4Z{%0IN4$AMh_eVj@eXhaX%v)l$Q-Suf9o39U#7x~
z0dM!h{iDU*Mj|qoo6To?lmzY7T0sAq!Q7M8XLhs{3SyjMF_6rVt;PMfMRy5l**L%a
z<|SgmKoK<SaG(8pA7KXU?<!`)Iu?&lGr<QSQN}EA77=mod;}!RSm1Kl_^f{<Xn)w~
zS6Xv5I}sLWIFaASw=|gH7o9E%`|}IzG9P<LfIx}|FjeU48ViO3RWw9VY&h<9e#G})
zzkp)Jz`<642X`SBqf{eB#8XT3bWdHk*u;Ob(R;!w=w;dO5+?(o(LKPm#Q0@bnaJs0
zm+oP?>2GerTxkiIp<@)8jY{M}H~xMh-bO_iDde)s;N#=N1A}R<W>Q&Q_>FL2xsaxk
z#~XOVQHe8{L=My_f^;%Y19;Ww=%|w$Cr%S+OExVV77ouIIcmwGuBkLW;)T`D4LO3F
zsguCN4>kKDMdPnumKC(`$Q}C#dV^jf6jCt_yri|GNi|Y+w0_qV?{F(F+G`eIXdatk
zc9M}0TT&0gj@x&OPsFkxZ=gB4?Pu=Ynux!q?oAg?nC5@|Sx30zav!yX7q8X__}ZRU
z!GEF+1VOXGn%Ilk&`_nMT@;IHddcj!{TkYD)<?nD?MM5b=4(`?VmW&opX}{fO<4~Y
z+`4e_Y9!18#~J8YnPw~Jg2qrB6#&hit>vNP&KTkM)AtEeFD1te1KXjo+rvd)Bgd8u
zxJJ!7Qe-?L#x3<NaG|8}N=tK{RzO2IKPQbI^Cf;I^}rIjP=a76obq{{rl+U9aJ~_O
z859#~xGF!+7e404F4YuP6bieKF?*GTBMe0a%E|bjKTUvA4$jKTGP~V8CT6f!zRrk$
zz7pZ^<|^~pSaotVLo(TZLbcF{M*QVTG6I=dpco}2Bv?)1VrZ#=O_An4^Xd@TB=;ds
zDlRA_MaTJV(h6Dl29<?(iNIrdF#3&}2F(#OD|LK6Keb1Cg}jVQQK77!5EZSmbM6>-
z7s}$U+_p@-e#?kym#%K2-RD$6X+!T*c=mbWM5z{%(&H**j_)lPAa4<koU}^{iVzcr
zHnSZsGGjztl?eUY=HAXGENp;Ga;<@ng%EWfDC}+Bmb3ojR^rCe-B|aKyVP;onBf*3
zQ#bc|lgK;pArKJ|pkX{&jmAe6e<;hN=ah(wk)&&LG~qN17<u0!?`Q^AacPLQfk8@F
zlo!D8V=zMr)GYeu3B`$;?-b0fW_(MoJ3Xt~a60x`sv2`LTRyy|{oavBtw!^cf$rIE
z`nfDLV4BbG=DgfNx}OzfXHT~d^GBk_#?Ny0+Zg=f%oiAqDs2-BbV?)(Sz)B%$G9a@
z!!ypfwaR`TcFvs_wnoA%^0v>GVxV*DGu<-U`iOx+5cBZ9ga(e&by^8_9wZ}Iz=icE
z&OcP8p~m(&Kln2-LXBJB0)yX?VX+?Pr-zGs6`pg43qs?h=~vR29vq&o-_~g6CwLrH
z5*!+cO&2L5BJwowj}jD{s!(i_y3}j-d=Re;&aukT#T93{Io}GA#C&76lqlg{RqaHr
zD*2K15{BkD1<6SYU$VH&y$8KRe>>ol9S*~(?U1xUn}8ZaDOHxfx!$35Ao}z!vHuo-
zdV;iAT0c)`;dd#XMG|B3qg4#V6Ow^`Q>Fz~w}i(EDA?t|aG}8`VsYvb3ft;0Y^&Za
zQ+a(^e_N}=LH8JfpfKh5M=`D)8<q`uo?ODZ>d(uISYfJzreiCu*S5bpk?a;SEZ$=&
z(c*^hdhB)lXg?PSVEXMN@#V3ov1q%Tex{qZmnY^+H>=q6v^-*+6OMfGq903N&fUIT
zfCf{l@o<rG5zUTN0XGHDlZ>8y_&^I2&_K~JH1#3aP!ccchVTI6eT2NsnfCZfc$ov6
zIlr0E4jjTtMv0~B(dwI4y1PpujXRdRa#r3^r;njPc%f<L#R>XU!HfQ(j~Ng;50b1r
zm_rBpW-r0EhGV+q)-;41qYWbpnC%cl`dUu*mm-IJzBcQvvgxa`9DBc2^n54exGzWk
zeAEDjiF{Lcf+BF9&TVXPKp|ovpmehhAI=<fRXtn&{|Tdg*f=I6{0RP`>?Lz;RxMjD
zx7@1sv)F?t>w;eDqB=KLe>udT`qB>HPa5V*HWzapW!=xTrcFvtPENWxJq9mR7LCB(
zJ@>1hvZ88zGfKKzpee~v##k94Xb!n<i(ocT=*d2Q{LbCoT{e-&T%+?z!2rF~eLD)D
zn44nbH!X_p+oYc5ERif0lF<&Yb}PY6{?ERt{t9t5bkmo$#jkEb$EzvKwS#N=n)Gws
zh>@qFpzAsdCMIT0>0IDbvc)pmlpKpPJjmB&4=%~Y?erMintpWyq`n>snLbLfw2e7f
zNW)2ql(bnK6LT`QHV|K^7C{vH80<D0F+-^p|C{`G1K4R*$mv05Pp_G$p_<<<c(I)^
ztK<6{x^b(ivw_@z`fanPshMMeSg;7?u!(FQJ!XE7<ovwld-mFl7?@X8g&}#s1fTFh
zD=j$kF!7!Pumw_JCK#hZ9<;tkMU`?g<*0j-Z=_eH#&{;Xrd3+)Svg+{i4IhFaIIm+
zR-XXCeQjl{90xcR(ER*b$e?NjMnGm0Dp>^2(0=8N)O-5td*&+kmvse(nQ9VdF6HT4
z50hYoV#9Zp@v4vO&NP5~!>S4(y}J72b$b>##Q{!a%r+P(*|=fQMkA58i>*M&{FOll
zx*ZIy1ziGUx71oTbJZK~F?>Fwd2*<;l&Z-V9~m)o`Fabw3~Jd(afF`eQ%<7lUPOw3
z6#08}FNq;6fJ7gcb*Qzq)k^=Rrs)FJ8Mt0FZFvU1nA>@V2XxPnQT5bM%pRObCCipw
zJQ%DM5PowB*+}9@1#^+Xl^f|m=a0khxGACtIz9@5aF09gM8_>2r_4`0P0%F|>*B?{
z(S^O`xi5`(pR7m0H=G7)D{QnRrZ=ZpP6_@hAkTUv11<fGiW6EJmTx`SXf`EO0fW24
zv@J9W;z(E2%?BEo*Qi0xf?x+Q^HZb(b-LY5{*1I}%m==+HUI`&iedJ1pSn1W+@^9n
z!FA+CqnBahJnIX!_^)<`;swSI)lJV<;D8aM%s7gij+6zBd?Ce*utRq3U?7X&O_1Ec
z<86b$)q&*|K|SxWH^_!@LIBRYL+;^^VCg8^G*doG;GnOgq$LShf6oTeT7RP$V@E!3
z1iF{#cn<x%So_MDWp7_epR0|w6VAs*tbC~xK=6Dmw^QQ&4cSAS1_I79AzIlD5rur(
zpzZ5>i>0Qfwg7XJS+9A3Y?XCt0`N|13eyv6Nwn#Y8kn7h_+o#EvC|tFCDltsNAGtv
zd_GGE*tzdFUvBr7(g+4IzEB`1ShBOTTb-K4@_<(a*aC8fuwErE(VLt!r=)7?kbuO2
z=sPn8Aq6#cp;k1|BC$G+j`IO|S%EXuKI)aQLD@h~%?L;>qGyO(!uv|Hv312KLF9qG
zmEjHU_OhAE^kKYRKs}>i$dWt+3bYmlY7C&_NbdJuM>}#XHikh6zR8ZDY&*u7&n^_7
z`uFw8{R6Dr!yRSz)37IK136a|nX#8@TxQ#<1HjID6|e8fI7Wg<qzi_3Z~@e(sNXB%
z%Bd#fTR(Hw<a(fVV~&f1BEIa|{UNGI$xWC%rTVO?9w1B&od+<_&1}5fO0DFvbdI##
z`n4WJ;1!P?#D`V-?Uqm~{z-}#y@w)rN00@zcr=^#Cs}v*YB|j1+1X4UZDce&(uuN&
zq@LY<Q*M{TDPyHruNbq#^TB?e-MhpoG}y--z}|;Y^Jl%{mU}$^n#4?)N(XvhtLge0
zg*0K^LYAEL2k{a$FCowEz^>ysC%JtWV@m9Wfdv2Iq2KTnEvh35!Kd~mt6wUjZ!V3J
z;@c*7Dt|VLR{ktx1$!i1(t|c9KuaV4ZACRssWsZxbZfc+K!EFY^FKxXX50Z)T?A{M
zRwhl5{J)B)2k<-8QL{eki0bJzrPV759Pw9=e~@mu&mIP9KjEfG4=T44S{P2f&(Zx{
z*vRnsRKP~>Zh?Vuy}N2$W23|Di@`1*oc)jR84l3oD_q2<DbR|m;Os*p`v1Ln6oE}I
zXqCEFpC*(u8N7R&EVs6#`pzN#Os52K<Xxo|HF)i6@?%`JxuI!rP<_!P?XG=V@B`PO
zgcGQG0pEt|UmfWqD?F`IFmWeC6<|`kRSpBw%#Wl~8xcy`b}doY6B($Of_*><ulb0Y
zpr?<5$BOsqxW;Q;G))pPz<yX%u$f)&2b?G(UG#OkEJ7yw?TBwa2~!Usq8!C?eUg)_
ztI57dH(^E40WDGtXfJa~%(C2{4YNe1_Rn%dPT7Ms8yx&;F$kC9PnEY)5hW6D!@d4z
z6wK^$F#!axVeh|5Pfv$WXz7sbiLcxFRLn2icTbcZSm7UTqQ!9CM<*Wn3TL>1A!4Qf
zePEZ7|I-I}j^8_)C-b$r7(YhYh5x^A6<Zt)Q|m|$aq#fs5dBVJ)4S~lAQE6eqs37d
zE+8MsVI`LKd9zUUWHXAG3?2yk$fLXZ%twji!6)-9mzUzAZks7xzU#lRa27x<)e%H^
zGfO#LlvS+sedDAu5<{<d{Jr)T!Krem<ma6pV#F;WU&uRx_=KpF$agME$<n*s?vi|8
zEd%K25DYC#&_15AT9f4LPKjeat7`6K&T>gU(#jb67|RE4?7?E|dO!*U9De#`tXDJy
z<au{|!u%5Pn7+7ItMi+YFJJ@zcL`sE_M@l4$-e<ZQstroo_gX*)<C6&@H3j2`1lo%
zjP3L!i3VynVz(!7^>V}}8k6?UeV@OhT3G-i?FU<!Q*R%;T@{zycKOa+`044XIgFeJ
z##VEmCA?y?3CJNUc*=O!&qrZ7;{2Z@tRD5@h*Qyudg-*z(Pw?tm2$+#kzcqLpwsvC
zW9wHwX7eAU0AlT)jqAxJu+Q0A>xNI&d#Lk+aSI%~nwg|Jx*%U75eb?DO}Rd+#>Wh-
zXYnz}8U8;5=f7dndSdb6KxAe&$m290;T1FqS`)MY?+_0%w@w&Gm%!#o?sF1RZioBu
zxz&`B$EQZ&AGN{nZwXA|3)wOj5lRwKQs(C!(ivod`qyeP+hq&)8du8&<g6jcIqqHk
z5!orRfWG@LTvqy>?hxrz*`)@HoPog;TXI0Rd21Q;iIF+!K6<asO!)Y7Hqz5+V^agy
z10Bt1@=M*U^{V>)=Qg!ib~CA-&L5^gTqKqI5*bW2YYO0ozXq~7DE|M=A%TIvI6Etx
zEbe*`(OiFdftbv$TmQ~JxDaT6F&9z@D6Pd`dFF8$scRNMkmmHM_&39QB+LZo-1~MS
zZ2~f*yy`YEPGiR{6U6`gNW!6~k>-7%OHwomw8<?Px%~c<>tV#1dl8k;a(!*;MvGQh
zcjq6>vr5HA06!v|E<kPbSN!+x95!@+H5s_iyxtRv4+n$sMh-rifi*@GdDdgpY=5Z;
zGJhAPeSPNTpaq7I)&S~+#hDqPH02vYd%W(5TWfKe+q04%%zmkZfsXqbbeEIS>31Mn
zKYt!vRAjGL;20274Z<}jrXU-nNSUnLvBOfd?T}gMZ(~JH(Xq2Dh<F9kQxYVv_%i<q
zeQOx>2;fH#&;y$P*`8gMsM<SC>E-3#_peW2-ij=i1);?hZ9eOTx}j(MS%McGud0Tw
zdO#(iK6hjHfh*i30LQs0z3$bKj_qS}W=J!@3?V1AX_juD`1|S0P4;VpfBrwZ-a4qu
zu<I69L;;bO?nYXXPAO>w1SvsUx};0GTR^1@RJxJw1_?o0I;BfmJp1-J&zbL?bH0BZ
zW}NxmbzS?~d+oK>zWw|vhAG2KO_MMa(^9~YLVz$j8=*`=@8$rosu{q?2&|gK%CU&v
zUrF@GU7=yh`@6@Nzf>FsKa}G}3zY7xT29+IL(iuYe+wPU|5;3Aq{e&d6D)dEQ)B`U
zfHoB$@_DZ!04mK@VYvR5#60H#^8I4DEaflpUsg$HxBnXclB6vwa!)G-s8gsi4|ewt
z4m8+01$Cn9U6^SrSh}#oRm-Vs;wK_fJbxti$3E_>6K>^e+eOm(H)}xagV;JHZbh4B
zd(bMJyIcVi9+;F~zw0sGn7MXOKaLz(*#M*1oEE*TzPfhlSpKJkmmf>_Aqpvm1Oqbz
z1G+S`Bw?H|i4h@gC%T@*`?$2P@{y8^42PdbEt7iw#E%vf*B+GHX*0??CIS+|_I~rZ
z!^Mo6ELre_xKG#e<^;o2UGH-q!*bF_pwHjlc6TBHrd_rpOI1YaB8~E6SP0hCzOb{&
zD-|T&|KC0QqdWh4_>KD$N1f|?Kz)5IhfZ~`&6|=JnxC4#p=sy1zm%xDB5)A$(Xl!c
zPIH6+QLt>^s{>Ri!Ia@SG&yMT*E=2NLlN*Yw6~`=@a^+HBDS9}5+M=cd5OMW-TZs<
zti1}L(fvv5B6(0Uk3^J?$^c6o;>v%~*}nhw_X_3bR-ZmuS}cmOR_1i^*EO%hqp9#N
zRow`=8ef4Bze>Sr39J%aJ+UrU_Tpy1&HwGjx}OSHQ{exI9gyUlWhBpvql9<6Ehlvg
zFUv~Tjmp$s=H%YmPWI8|pLzzsTO8z+dHG~vNv=f3{tHZ9b$4AiwSPgguV>JRJah+s
zkl~%;+}~?guKfLbBI&aHU#r5+bTs$JBa^|zS&6ukG>6GSta3#GG+{J10|Gu|zeD#V
ze4PKR*0X*b(}0{MfQ~NWB@4^DmoyyjkBJfn2~beMFAD4O!1glSlBX<DX+UUz=i4{I
z^UeKj($dnhqvNDnV~V*4C{zmXpewCQzc?m=Nq`wI5s%vNN0i7ph5F9EZgb*QUxSl{
zU={S7wI{m?6URU&?F4|3+v*1k0~6B%;J@a*$y|n1;F8k`5&C<Tqsht1$!m^YOyr@S
z#YhO=G<AONK0^QryjKgm)2$dfnno6bnim*?f`SS`o*o{}z)=uga#8E7#w2w=>0{CF
zxzDA0Fmv2R8SP*_Cgh>2<CC6|5%cH#*aQanf{F_rHmb&w=)O;pRsk8*v|)f0e*mgB
z_t*{{+nhXt1DyCFftSVoK9oqY83x$>A*lE6-E-Jmkf~5ljf=aYQ$grIk*!8AEiL^H
zihr4iKDUPH;EE|#%imd^+2Uf<vlwDC%N0GV9Iw*TqhS<0jgSx-aDDHae$vL)Q6|FU
zT4;b#PY6MA-5Cn@nW@va$SR8fZb7wnmG<~FQtC}bl{EI#z-agDK+dEF@?b0MecGMj
zp&?un5_CgD!=Rv`XTT@yDa9otdpp%$wMfjp-Kt!@Q&9h!`-5PiwN9UI30+a-m1JK)
z%x{7x1u;m*^QFC=obEy1>|b2W4c@t=V6*n{(IZ^YOhn{|G9!7PL?~=bY{q0qJ$Mav
z!Y-Rtf#_lBlAD;YSz6)Djm*zyH!F)HG!qvWH>-?W9S}QL!We`|USZ5Oow_?gv>7g3
zG&1a}EVZ}3rlo7fL5N=qYHtysePZEt(ydvK<OaXxwPtl>A1K$<rt7kXZ;kYyTv$q?
zrl8t&oysxkq?DlH;n67QG5`r;&y;mRH`L1%s$!=Mz?+WM)Ki`J6W=UzRown9uUhfY
zG(Dnv=QIF$hx%{e=Gg|Y&$X=J?mx+P-4uD<1m1Kd&`Ji1#0_9#hn{%%Q7)Xqn&Scw
z)tB$xa9U3Wj^|AG8J*h?(syPH_^2A{9UGjzrH~`25U6+)Nfx0#Y`g%$sMDKXr&4+b
zN&a}bC4qtGFGfN!<xRpBY`m_8z54kOa@-js65prkriITN4lWy(ql@j*)daQ0^Yt2T
zo`fJbn1<kT7=sg8i|~<!V|ewP#8L1GjRB=}2Qzrhwfht37QdbkWnoN~H)0FAJbWJN
zLN1z3dqdxFOueEGU>~6QAyH`ga}Z@IBdk!pA=9TBvd@5b!fNwYIy-LAZbAO*3ptb+
z*)ehd$mPQYl2FZ~&LxcWIlX{lyX3QG<b5+dvxnDn#Psbf9e7z2IVTfUkpyAk;mv@?
zC$%rY%q~{X;7=fTynDrHtAkYL@ZRHwi$|E{_PR3dtVEF^-qbFQiT{t^k~j`6sSxK7
zcEPntL*0~?Fs4*oUzxJ2#R4Ey>$+2{Q6^ng2d{3u<s=QsUs9Lo+ykU`<}7K`EYvQc
zlPM*7Km^C10~0)##gN66D{>UMwb?X9W5^K+$#c|$;|t-nQ%I=PN!OQ%I|3T-kJ^or
z+n(2Fi%uSm9MSt4-Up66Dm67VA+1zHY~_q+Uc{51V14n^#(grW6pHvO7y^hUCs3k{
zbQR84S8TVh>tf&plqukdV(5Fy2<El9`1W#Dm31i9`W{?|-p_8JNLg88<(m)~w&nl9
z2UfN;z|p#*$!+uruMlGzN#HGM-oGVp)|W-4E2k3%$4@gXXUbb?eS*nwDHD$}-ebnN
zSFf^ch@?VpsRan`$dS2G#W0PD#vQ+!7+a2yW;Fa6oqy=8V7f{;`8gG4--dyrZXSdW
zGJwTaCD@>}BF(N8T0mLuX*9=-BOs1wcBzUg1C6{C%;$*ylHsXfHbSrwOd)pJy!L01
z-TnN!71sI5(N4)$(Jw2LjB0XL&D^XZDb=_4F@Wjy{6}_t^#_rE6^IJ*v$r>GeyAaL
zE%SD(O89Dtq?}eg1_6^qTdB=l;>W%|u6O;s{FYc;e<blQ&pc5J_4`X%;(%QMu_wZ9
z#sdvsuNq1~-QQ)n|6VbqpQRt=$|%1eulS}b-+BltC|8mssKkA}3nj2~hpzD7`r8vG
zq-J0({aw5<EbD}&pcK$W5@A<%-LE#`=i9Za8&t?zpt<@GDIjlKeqBU3W-877veR)*
za3UsE81K$Cv+f6FrElL`@_Ae^re%G<o7vT53n$h(DQV{u`Vy3qcl;5dUBS6Fd={uh
z5%!i^)<ld3viYtHle<WvEC?n?dqP+f29d|hxk<|J+oLHJ4@*5qKMJ@xHEMaB8fbwN
z$b_J7`E&mVfj2CtJ0+0~G>71OF?4;dX_D}pcg82OQ}N>-4}%b|Mb&wg_T$+jRIO3P
zJ3i0Pi^i)jJ{m_0v9O?nYlJ8nzg@m}S9{HyU?kW!^}|cwy7hWQ7-0`OpO(2C)6vjQ
zfQd=?9p|q`y++~%{i~*=;j#@4)G3@9YRk*Q%sBFr#@k@NM_Jf->1kGij)|#}*S*rS
zFY@ozBWr^vyG%J0d2J+Cd`q-|QSschS`gCjsr$hDVLFeA-tIuP+Ke%&Tx4i?STk8n
z9+%Eory&w@#3y5($J^0h|1b~6laF_t?N>076VU+=9+vYS-e!moytt`QHtXN|D2e7f
z&4#HeR#@DBTJBVMdJ78kR9;Bohz5as&J{H^HSKCAMhGXNfWk^h)<Qpq6o6S-NUXlY
zk^9r@<UjE`8g4hQ5B=Ok11`bW-rXaT))e3NSY+?=hW@CYNJsxC0>`u68x=zAsoPZE
zyAQh79Uya$Pe=%WvP1HNiQKxCj_A?e-UIL-OnQWkjeX?smVyd8GQtRrbaldHwgAqQ
zuMuI_<!Dlx8XLz$Y|;8x8Y&Oz{@75&JoI@N;qK)n#WyW_zFGEs_%jx;rJd~w4a>S?
zZAx{P43_@${76fNQ|RtyvMuubA@tUJ-Y9vM>1|#-$Io#NlhDX%*;(|GQbwM6ggsjM
zSGr^%ah||D-h>+=GO&{w(D>`42ns&oUa7|d8zd{wUq3O;4Gw=jCiq+P@qMX^93EZ=
zkScntj8=#;n2>c}30$8|t>N~5B3K$uj^QQVIt<(v6SUry0tVJ=4KvGkJtUcfG>^tu
z2mZ4nV_+#wJC2T9{718<T^xm96_*?wI;$W1<B);_h2Ac@Y0ltx1!N4!N~r=;jHz3?
z;E^8EwkKjDVr@meJYF<lpN-3wp}9X!tYNTr%g>OjV4oc*+7c++$Vu_kBIeI1+*p2a
zcyJGk|3_wxy{aG=p3Fl|>Ngnlx^p$jMyLJ1>f&#YCU8qr>FDV6<gsTgH#JEtKTRg-
z7J)q|*OUbBuy)9%n2Qey@6K8IgMsLEd?Rvq>Q%Y&^;(4p_nNC*+h@X35)%U<Ju!i^
zQM=3>3y54v+=Xf%Z`{D92!mGnT+K$|0ZlFi6ud8)A<i5H=`4|agOAM@8A9A6;O`=w
zuzM6WJ$ZYEbm~T5i&S~9Vsl%YG)&!GM2Kwz3HPPdAN8)6FkoT84npyO(vbvQa`F4y
ztzQ0TZ>k`B6E%6H2H{GMy+%7~sX$*M$=RpkZ>gbF9KzgiHR&XCcY0oCj3ucRbG$hb
z2!N2$#mSz4%lhN^<FOnKG?;1G1g9w;8QD!k!&$oCJ%)dq6zBt`^p<5Dp~xZ?aN=9L
zfx1#C5M}QdIlP_|>n5o5X0Te@Xqv$b6n!W#+}B6x?fq^m;RI6{HgV@)cJS5Kx<UjK
zK4aX=dVr;;Qn@$W5E8_f1&c*aIT~J3@{hCHv5_5R{f>V*@Tv|v7J^-R`};c}1VsZ2
z<r$>GR?Zn==FXuuL*#-^S*7}qVTXdov>D959)ZU}xz&imr$Qo3+2EUm5nKLzV@v}G
z2=I~-wnFmS?%OHk*3a)OU9nM`OB6icwRjPrRglDXMq)HwL(^2`4tKBK{y`=Z3}(ci
z!E6DAO<nx1g@@b2UvOBp^0Vu@5yq*38D1A;r;;F;aRen2EghZYQ(_z*93<!zGsEL}
z4Vg`=z%to9yz>kVWQ&fi&LS)I&$o*025{_S><V%Ty-@K-mD@`4skjX4#-9&(QV0&a
zX-b!zq$r2hrO-pr^}9U%g5M1;CA?2pc#yY04%)cVr^Th}PiUW=y|*q9Pu8l;pYGjY
znBzn>_-iH1x1~I~ZYRA(qvV<E6V8rhT!Mr$zzBlj*jWU*Yw-~!kI$37Bm(jd5V8z{
zzrV=AH=Z8f_q@3Ojx2wCSdN@m@6RlVp(=^LDEK}86UWT@cuxqU3e*3$u<Cq)y{o0$
zalze!?;;;cT~F(-E0@H!2VVR+p3Ori@^}(_kjz`p2UqYRZr8#iB@G7%``P-B90(3I
zDFgq~H*5F`UzvK&^dnyW3N5Tqd2{~WW=qU~`KlWYjnQ-l_q`QL(H!E@f+wM5ByMhd
zEj5HoG<=arsVnmZ@;o)tLxpqEL|g};UA2Sk^Od2_@%htYd+&c4!6<A{J^Ho{J7tMu
zwC9$74z;`tt}}}m-~Mi(H|X5X<5i(9ays#rWPXf;HOOjT80Y;ZhDtO7>;Q8FI_2f%
zSs#Rj>F*KtMihICo0$pn^73ZxjO(Yv`EGUn6cYKzcN3K_O`VrLGLS=A0pdz^){=Xs
z9+E6XS{gHN$w{=-h+d3(>dSGEj4HPjCb9k4ujdanSyRTkna<UXf!CNIy7T=ZbvrnF
zILQ=C7wjG#Y2`IR4y<7`Jv20wfA)&;TWZ#)<UT(@Yd_#rGbFZn!KMCp3z60hfUM0z
zo=)GXh$aj1t=6IJ0Hf)`4u%G&PiZ9)=c<ZH0p7dIk?lAeN2*vdjS0$L39e@VoC$dB
zGnlrfqyGf{x)HF<t%7w5<pmW(e~#6Axe<~EzMo-_U*HAkZV18<C&z=CogoMzPdz=y
z1%(L&94FB?j{0wep$X2?$_wwam?XBZRi76<IOgNsC#+~E&oLC~CM6~9iL@!z?uyt2
z8|*z85<ee^Bi01Ghd#d5ot;>u3<9D5<Gb;FL`&EIZIi38O~@ro2@8>f#$`1`v`pMT
zeAw+->o(7IvU}mnB8r`|;rks^cz@^z8}*)^xEn@`>d(p6))8XLzIbte#`{2-0vx7+
zTXstKI80fpuCsLVV#n{Vo=hoj{I`F&>ZUyWbjAyv%3%mK!ag_0uQKC>&G?YnE6wU;
zyXf>)9M)%3t;ebblD*e(?qpoVwQdLcV=>sD*PSdxR+H~$6_xs{w$vhrED1<_6-d;d
zKN9(OPVynF8<ThW{T1li_$VG;R%ZmxGtS=1aNNw58s)g}2Sy8|z1Cfzy&sz$^gZNJ
zO!m`~HkY*-mRa$MeCAjnOR;8_=2P?@SHd^xDf(G#Bo!1KoU=w;^ShJ++3l}h!RaaA
zy(d-)i0vlPaGT2H>!twBhunXj)I&Y=mMGO}w!eZq-~L+A<HNGYKbXcC7+pL)YxWs?
zb4$Jbpjy3-fyK;+N%jBE`Uo(xp5AMzsjsHGbG@~OG_Tx)e}(W%Bmf^(wW`;CP8MK$
zQ?99Us!;1BBa7Vzd6UWaby9kf^sM@hQRt@9v;De1+I8E~4O$BCqYp+1mQn&`lT_dN
zCfQV!BC18`r`(_YT;t8Zi}ml^z5^eeKV8684?)nVn3MN!p@dru?Trh6@9MuRlgl05
z>(2FMKggBm>7DK}w^8{Ym|;?jXSA%24<Xb(s>ogB`<;|EQ1`E?9sxblYJqa?(Jkaq
zo_<x*`iW+DWlR{iBJY_tzecbEExEnYz~=)-uLdx_h}klT>WX9d={7)#%xK%cm6Fdl
zBZDLdg-B*yu@YEcg6I~=ubH`Uf(&wI_+;lvaBB_WX7SAfCT836w`qw<F>{-uRe7oe
zhg;6{45y*hQgj-dKdTAA0pkhnG=qGY&9_7>cfjaFq;umQ*?mi}h@nAF9)bU>rg(;e
zKWh6kl-!Z!0ptzGd?Vb&4=I(NI^dpTe;UuKY*^-;k8f6X)JWN-+eloyop5^z)Li}1
z9{R5&sDxgyOjg?Cbf+<s9=rcLMS0)_2nPyHy&!=H2z_rZrNXegvHtO-2e(!zG$sDt
zPT3x%THg9d(o9k+0k`uWZJLmm{Hkl7+1p?=lfx$2=i2-Nh7%xEH-;`236J?LK=b#X
zCh~vYv2t+WhRLAd{C^EN34}`+|5EBJa2YfSbAo>Qe}@p7(rx2t+@f06s~8(cU3zK)
zes>k~BBkteW4-KSx}NayY}|tkA?P|=?1K8rviF$6*~(`X-e}hrJhIJD;HxhH#Hbz%
zENB|GytRg&V@=f3tXIId6g)fH(i>Xwp#HZPkhVb1?w<J*<VaoTX}e5HZXy<^ZnC$I
zvDVbMJ4kNWFnHbn>WoaXs!Dg$7^X>yRc|+45%F<WqrJz^iCQrszWruqYSk8qLpE9z
ziqrc(ShsGqJ$0K7h6c?u@Gfk(O<4X{*f2rlvkiz(szS1oC+Va|y+o)C`BNnH`FdLK
zi|u5_#I`d&uZ=XAe<wajn<nrgqpMpaxVN9iaoYQg9wTGm)J0ps3%@@@G>>oPO`bB}
z8W8etJ*|1soMPx}SxEAqWaKH5`Vexlx$(h8EC#MjRia%jLG4}~;i@$Dike}n_2fm_
zYqSuO5a}Al4rfQo1~t|C*ht@kIr8VJB%OEU&x@T;ndMZ*t-oTH-sQS?Prd!gB{a0Y
zB`^Lby8d5Dh>e_tv?F9?35kg%^egv$wdwCh|Be}>whSJPmim2@{1d}^8(1CeZG4!G
zk24^T-`WYNEIP%tt0C+qi6PrdJT6F&iTbf5S=oKl2~r@<@k+!7V9+H4QXVLFkuwn0
z?Cbn}IN(*J212$FAdCPeyLG~pA4kp;t;hLfIU@>{qa(W)fBGtVRybb8$NR&4s@#Xc
z5t`q#HdubxjZW>}OcA?y+omdpD~jo;x3b{mYHnACPv9|LY}6CTj>q-?v*cZwa0v(k
zDTQ6<#Q&b+6rxs2yMGBS*S)RS{$;>LddsTa@K4gnj8rH#Es$gwPXs&<S@08_<M4ix
zPKfcAPgZKN06ySa^fs#Pb)%-*L>512XzyE@21W4ThwlD+J`3deZn%8?#SPDgE!7vY
zDM!P>fd#$&Hfp~M|D0j-cT@F-&0LQLI2|o^JgXWrXB3>(q;TWY($mw~;#AXxt^@R`
zFU=v{c{aBxGZhppoKi*HS=lFPx+UQaL&35&^OD>1y=8tUt^O-Ew2);elkmF=;iRXe
z5xM4)pqjR(<x~0XcQc>BDDA<zPLr_b{L*<L?{3b#KKpQ5Y^R%~&GPDv52^TH7u193
zhn})A!3mxz(ot@fY8W_JHWBNZD8KED!NnYs)NAmw!V+dlg%C(5Tvh@^?~q=V&)qxU
zX<Q7Y_HD9P{M+&SST!)EGE>Ve7RNRqRcLgGRqw6jDyQjO>g>Yq*k@__8d*!L8qcCk
zRgYWMB@OY|wVW3|^$Lcx*2pXKH%4*^CT=1(E_h|zyoQ^$Mku9scVGv$0ckrb$cYkf
z^qt1Mq)b}Q?YL-rgPj7x(Sook#TTrXZ8F}~b5~qDGq}G0xo)4U-i<?#CjCxtW4$^j
z8#8&{>)#Wg!4r5rGE0YX6rdjd96))8_9|Xisi(-!@$V}2bIvVYPhQbj$B$^1DV1i;
zyi<w01tlNY!<B3t?-xG7`*?#_a`-ICMvZdg-v`cv_gz3|eANw+PWG2|HemXvrBO)B
z$jrB9;>Rz4s=Ukf<M<X;b-~vj*;V!koe*)4=G>33YcGnGFS_r=kWXsz^HIps<d-&<
zg|xduB<Vp1-1XkQ?`AHqZ+DrwtcY6tES2A>l@aE48__9v@U$T<`hhLyyN4;(n%VaY
zQa82bF1mSqV_PGlzwR-gdq#>^Q{9+;6nkkZ+)tjz<X@@+2VTA(iir2c?Jg>@X0vDR
z_>>FZD?i4i?W^9yQfw8g@u9lBnCC^xp@gJ<P3%2pzu$_tT&YAX5;=o!oG&zAjbEDy
zxin3^V#Ww3AEL!rZEfZU<5ZN1Ve|6MXp70ByC-HNcMJTzXbEtBA4$&6h|X<oZ6%OT
zjc&=c@JHILs@gps+hxYF2{WIk)s6ZOIQ0U4XycJFX(f`Je%0uVAxBk7uQ$!7dMLGk
zwLwv@yEJEb{35Wi(c0@pd*(&&?2|v;mMIF<;yUAp&-Ex<?ca;*tU9;cgL@i<u&8Iz
zhHr;}*U`+ePdnRw2^Sk3lXBoED4Zo)2$8ULLW81K^8EoZ&tAd2szC$o)f8J?ah;29
zx5M1XDf{f$E8=4%DOD)eNB*dC?+_hNWM|~3=_p7!Qk6++^U%9G>Kgew=2``r%fm0c
z9xImHYsu8su@Q>Aau~_1qwjFNTtYj0NRrpXt3PDEps+bX3~TuV+!%3Ru!U$4{7$Hn
zDJhw(t}YpHsJQ3Lw&YX}M#wx?i8OZ?0y+AU37a|Q7t}R0Xp5F{$wOjeV?AHje{Uup
z-4O{UZERm?yEE0MYN!2hftkOJ_mElGooRvsqe>hW^KqtBOcP?Zf$8Ah&4|p#!EsLB
zZvRa0ncClza!t(lEB*Qi`hDSy!^0OK&$<fKNoiTx5d2<X3q1g^0go(~SZ~5+nXe%(
z-I=tJ>~cx47rRyKa%tN(_l}=a#o!h4<Kz)w=eZ+Cn`*jFj3Oj+D`?G6(YtQ$04HMi
zchpWXe*w=0%I}~J+i7cZH3~9fL8TlX=mQ~*94NTvR#(xwzcJIDg3u)U(R&mSx(@>3
zLLb^4&qs0zTUuK5=|s{_5-m7mT1%f#oh16y_0Gp+{EkBV(=Fqx?GCa48fw@W-U25b
z!?19?CZjyJ-AhYLi;)5FsJiT>Y+pyovKxW#eesy>N48e=BM-cmQY#U!Bb$q(DSPd&
zHl)B{q1}2-MfW-|AYkz0LmW_P-T<a22LdZT&e#5KmQNf?ps}|+fM!D^4$4#Ns5R>F
zj4jA!58uy25(9u1Xnk2uS_t5)dM)I8uDovZx>(}jqWfM%-Q)4gBeuvs!Jn3&_W?Ay
zXjy>jCg3o4<?MJT7V;IMnvCP1UtV;^9tbwTQv3F|@nXjC>!ZAr#NmC{`nDo^D>S3>
zc~v_qwUd-c{3ku+5DP@Wr=YY`i4jfx_SIpW%MXRiqRf7F0J!xt(9j)ie`%09onz9S
zmQxk<f1l1XSgrA}9PHNzMG@jiUMHQqS-bWsi(!KZ9Ua{+7$6$KP!uZ{onzrF4L{4?
zFmaFhb(0YBQ(X07TLSTFy$vf8M{CsF;Y|I>U-N$$<`8^b)JjP3bpYxMzbXwHVusG+
z7^Y$$KRSa`ry|#~bFI3-l#b~@&}V)GW7yN}L^(pFX9kQpf6%<<D0`gVeC<I$n*yAF
z=tY4X8f-hOf~c#XxoN2L>`gDYU*P$)g!QQHTJ6oAyC=22%W%0nzRUb%_n6c7dL6=2
zLz+fjKVLaXc)%-P{nR{Gs5JK`mXB^F+l(zJ=P$UYgc+XWAq=7lPyIn-Flu3}`*Sqq
zzEM#5<Fm-H&uGT-xq7ve*-wwvbP~vcYhL_X7}7b7Nvm5|{i=DfguBN)>p7CCZ_pBm
zoYyR6@W{QJKT@LoHE2?zJzS5~dKA{aI3HPKE%q!^<ezODy&6#HfCpA9(B(x%)yFbq
z^25N(>nJvAE%rLL1FX$@<V|Iq%@VnQ0}ar81Ar=+D@W{6RJ*XD>@`4gxfCdnVM^}j
zR5h<k#am2U7@Z|PLAaXgL-&7YLcAEJrpt2>sU6SsLq;i)w8r?t{`qJ=sd;}|PD{Cm
zmtn<q7?w>2l<t;mI3h0>J7X7rRxen5CMXdFIe0|?!uG1f?Ly&XUcE_Fcz1#MuLlY7
za9M@6F58a^&DXkWg=)cji3KGKF8I4h{*}S^5qggB$Em|^G$wxBH^&1litp<>D(0*o
zeBDt^sL6w&6-5RRLr=Y`R;-y+Mw>`-=r}tAwv!_cq$!{yM?r@3f!?dYn3=c|+akF!
zF4^oPak2P*55z}*{vYje1`xZP4JP<71P~V3$M7=IP&n{iS?u_<lu#`C4b}5HQ||qC
zeaoBYgyMEwdjmQ`>Z1{Lnf4Q}kHO1zA>D1J8E`30x;SH3H1$mMErg&c$`CI%!xy2K
z$<s^Cd(o{y-1cnBzl`sf>?a!PTl^oM{v2;$T2uXsp{^x~!ih*ZK79#IXXCg!O}!mu
ztfo6u*T{f6bLvVwYA625#X8Oqn`%=Nn{u*J<13oZuRbq1mP-B^_iHeh^0TWpf3;x)
zJwVsEsUZy5AfLZO<$GdO5y8GX{b#&xCs+J*Tpr>V`Hx%oAyl_iVEs~cJs!Amu8NWj
zi&^hOtF;}%Io<j)Xo808d?=D}`aJUJ#K61wx=<xLkDdYF>Km;%#>k9*TE|!!)ZPve
zdBLY&R48F)%{8!Ec6p=ZDYRIuC412wIZD+U>qphnejhGZWPRsy3H?XDZnN$|9f&IC
zLSQ9NI}DAR`M~!)%hw(%LCyGU%5y}i@ZGB1r|c0NVQi6R?e;eKU3c!>(c&Q5pN>;@
z2Y5jiytW?!vxhMX97J=p5?vaFiG-JpVFvHzl8)j+v8fM=6K9H;U|c1hxW}_tA%I$M
zL}hLoJNIqJNm#-*O-ZKNakE6J5nr+_ark9<Sk=!l<$yx{H=B60Z?NQK?H4wB5us^(
zpnDvUs3O207wP2^@vn9Fl;ji5I`wj_(`K0Cbr=~LQB^qEV2_t%<y|fnoZGIdHvCOS
zKirn^D-~RUR^B#}fJ~c5{ow!+&64rFu@M?>*SDIehqK`wIb|v3y5tT%wyg(~+IgE`
zv$%Ua>$kX^Vkiqx$Anj#^#%C60(!^)(;;xeDZ|&O*S8gNj0Y4I@#57D^Qy@w-34U9
zo<c$~v8W;$NEB9eoS>q)?lh6%_k`llxAu|~%Qptvl~=^My!W6j@%V6<EW$mOF`yl?
z;4rWcq5~qO?HbRYVCe>&gyb5)9o>JAJW1LapPe<#vs2|@(2AVJ^4rIO_$!%fd(r*0
zupj~uE49c=Q`JA?4*F&<p>!pEy;Le9eG~pUFXTTeyF==}RKT(p;zI7@MSp8e>x=d^
zym%3}ZGCX+!Y=*5{+&Y!MNmLMn~}s4&Q#eLitvDV?ue1NP(l^ngh+_@do=`n2h2EY
z254@imrG4A^TPE-Zjpvcp->@v;^UW;z>g9u7SOP$6L#hwwNV^eSO5LU&s(g4z`L&3
zI*ChLu5?Y_ydD5K8e!q7uxULi1e@DS1ZuNxvB2zKasS0HL%T_^Fb*0_Q@Js)4?BF|
z0YAr7%xTVWzdC>r>wpRC(eAGDrl~x#R$fu;l=1qHn-K5*$WophQ6c$`g0GOD6>2k?
z_)xY({7!zm7rUeml?Xe*xGRm$X(A5uXI;*0j|zimSQMktzf?!1JB%6T5bB^x`#{GQ
z@*FckI*pwEdzp64GbabS?NfXOQDd@|qpZD>NAxt8OYIvmi=pBR@y7IiPG2DTYAV1|
zt0h}xp0Z!j=D~OcAKU2{Y3U7OB%yCf)Cj5hYOH}G_O@Qtx()D`A&o6Owb~C_9z><$
zS0PnyJj@jroRSk#pOnfcx>hsRF*q}S$ecpNw8MN=7}BJ#1ln2~WUv{Zno#vPaosE9
zGKs<)-7+nO#iLg{+CuMk|4wh0zUwBl3i;)dp>eTgEUX5?_RODLC_X~pGdD{U`(u)H
z;Q7p4*Lypf?!-YzsNH8_yw?Joe{|j0v9-ohvqzGTxmc8G0=EavQJ|Uca;av7ZH|`S
z*J+AL(`M$07DzQ7-Gkp?T<oa*iR7ZGO0Pm)4}M<9*dU5NjG`#Oi;yE5uP@ZnA#&pM
z?}Z|z`)u*`pHAAe#@A+v{V#0nP7<R}x?OUwPiBch3}txag#4OCr|>ka(^7J!1T?q3
zKRRB!$H|Gh^!Zv7=o@_R3A_~n&CbIkDi!oESDXlui|GX11xYL~Wsln4*OSv^2gLTB
z_uhm|=MX6d9F6brBgMdHg4L_jG2)JRi()^YGyEDP|Hg*%G!lD^TdahNV~j27*-7G;
zKc2Ycu9+qBs{yQVs;0JnuXMI`_qgj@s{F1LAD;y}SWCuD#%jl)Al>wJUb!RcJAc42
zPMHTi0v&h8I-aiuUvAYa#hR=(m-S?_H_}WjWSg8MKE$yJ;!`FOpCA&^LHn;-#>ox=
zF*&~UZ3)*~Dbk6(u6W`_fj`PoiVd&+n)6=3f~o<T56Uc8c;y>$9b*&m7kczR3RL_`
zBUQy~S80(f%9Ktp>c6$X)<YUa08neM0*F~b_RH-lhltQ?qv`Tz)jG6$%zt;kKzZUr
zp~DxJ$&P_*zokp=c8u{*<}7h~bGT`{h8$9Gx752wmD=#Tk-?F{wh|J2Hhl)3a(PUC
zv-_|2B`tz(oLeSY&>l0;G_ot7^WOMgYqO+^z1zXvn)$N`^H2BoY523EX~d#X_#6JY
zwlVT0Wjo0gCFU;Ll|(MgU%6^mqM=DI9Fealy<?nNh(UGjxNH<Zt%8M_Q0VyzkF5Bq
zMu)0v=fJh|%}Hcwd-;ynsv~7Pqr{8>I|{XLBN`k3Mz9Me=3Xl>appHnE~e8SzM+NP
zC(ft;n>n-gS?Wo*?OXVBEboDz)0<No$9MmS{PG5VGF`sWroxA1o-X4;LOg#e66dSL
zDv^;HCjP@zMTv`UaZceN89(Z>H{z$s8*Q0CuQdBNRB!EG2hj@RgqjjXzT-py&t-Q{
zjcTwjg~`6XKXA2NcBuRT_l!?nIxO>jumMRNzB?V3S?9ZInR@F!cN1po8QG<&6uXz#
zUJ(JGe~&^BU?@xX1h>pA24VYI6s8Lfjpz~V&A6QzO^cC?5k;?SIhm(Se2v5#r*s?1
zr11I%J5SdL>eQ`N*ty0UecM$S@V)rou(+0)!c!@BM7#YW=<2VI>YVwGvoTuftQ=Kc
zmg9SkUB?_<|LzdyWi{>9GNR7;{OF7B0&?<8Q~K|6K4*!&-&Vt}RUj5FQx2vaoJeC@
zhPflK=J#S|D0i<M`g`XSQu6)Jb%Pk1tfw2d$5`n<C{U$v8HRYzDC1P?93K>o;9?3!
zNqEX)udqjU7A>gukABm%d+)X!tu%sfueZSb<mLzQ2^3ZXy8lm+vvv~|k3>Z7T@`|3
z(%Z|>ZmGwN7T_GlHc^UhSSM9z$%z3cAp_y)BGa~Dbb<Wz!t!!3ctSqT)4~FUn?F>s
z6}j%yG8hcu;vPoqqgw)IiBwv<$1S2E;yMY@gPAr2S@~^&NIkW?<n;WE?Kv<J%U=aG
zJrv(;kBAP}t<=&qnigsv=v2(BtB{<Sm^cC94T3hAfXPx=Z0r-ZZjf_V?RAhlf<MmU
z*C{&<<LbKj0OjKp8SAb6nnjGwaPiP0B8s+V6Jnbo_rBb#tiDd6*17+QV;P|Om>{r7
zGU;J_$95BRSn+$oO#ZFm(1-bh#oaP#Mad;Hi1M_sLRq^KJP;7vURCt>D_v0)Rn<^*
z^I^63lGjmDQE8y<3VCV^*jPq-ZC9hg`TzM5-vg&Ii&Jr{3E4g7PI^JcVWxWU_;17Q
zi5`4s9;du+!pJZu4~s(7l20&M68^xXoyQ=@b6<`u826O`gn!YKaPKm4%XX*~eICHz
zXE5p99fY;c1%xu1oSA+ly0=KUufX^iN$`1?-`P=}l2I%ExdcVDpRO-@W1&#Ux6R&9
z+Z88?=dL-QBwN2{>RYAdHw7Xk)u5>pOEA23V)GWBPt3)xUigsxR=UdUh<+zhUQZFr
zPtB)`m_32#(TH8RSpI0-9-&?5eivbCfhx`VIQ{z5#3o3xZu#v$$e*?o_A6x|t*)@9
zJaOmoEw%0!@>)hr@nW+2zES}GG%?>L+R&Vq#zt~ra9<@&VT^1;Io)buuhxcOl!KWW
z4Q9`_fMfd}^n;;*aqe-;AI5`n;uh&WRNz{D(N!L;4mH!yY-*5N<sR8(?xd)Q7O$2~
zx<b#cFZIF-0`10tnAdYvxZ+V(Z%sOK#a|k8j+B71aRWP7#ah3iLm@55C6CNFwb;(M
z2sBZm<^vhgg3c>6f`U4FG+tg_9|7eh;kCLASyRr4ACVId%6>`^VJiOJ;S>GIo=k7s
zR!BH@bq|?qJHNcFF9&j@sUCru4=2(G`t-SVOW2u~0~4pQnkwg)r_prCEIt4MlT7)k
zO$7dRAimJ|XE&OOFe$_RyQj!i9|V~G#MWxSH5R2g^%YIOeJ(cJMO8lb&9x~&q_A++
zzZW?Kia=V1;8}spDN-h{`F(HLD9$ZX9~)2HfIi;)=7x@SM~jnl<Qh@ZZM%So?}8?B
z5hQ2+(nT!&w6t^56i~B=zCBMO^xGecG%hjMOHdY~o?A6zAhmpXIgQjqkF*wuVC794
zza8&Rzy}ixXdE^KpvI&rwG#l%fXAWfWWMivg=R&-2ur*dFoI3Z&2vM&Wo4>*)(eBo
z%U*;@i1}TL0EsXHdhPfyxR^CC<CB-tSQh0(+A*Nb3&_B-^p!F+f^oN#Iy`Z~8)z}(
z{h1>BU*%rd8KpV|Q$=M+9bAD=N5vgZ5#RxTtW4}G?4j44E%Vt-`)O@_mUUsw*Q=Gh
z8(LOc8u#{X1f<gQV5};qq!eV6k@vKg4_0I-7<sXkuutr=Q-U%Z^a*U-V3id%p6ppb
zITRD*Ne;C?G6B`P-D6q`y^BlJ&z8u~Nu)n*ptw8x?L)1W=a4H&Z$<Fs#3sePWJ3zl
zb{(Tk8>GZAXX$+*v*DJ}qBpxaWWKw-XggT`K(1k*?lHp#D0L2?_P@bs!*lQ6vmPgA
zwk}nXJ=7Z4Ekv=pTw6IuF3-ln)(!oPCpw3aC2JPTZF>#7NhE~GRf8Ox{{H>@$3lj$
zuuv9MGb$IjiSk7vqS*Vy1GOdSFHOS-oo4$Wo79_YQ`|<n-9D=^qGL4A@X<yiBHZU6
zpvd6G72BC$S-0<Hm4DzQ7IHHQC3D~3Hb3p}y=kwcbc={XH|RPh5yIbPZ4R}mA@FCP
zpE4am#(#Ax^G^qXNhTdTd;Z|f7c&Z<RPcV5zNH`}41V?MHoywH?eawPwn71cfod@6
z1yLUchY~olCu38YB{sb|fE3Y){c^@i*l&L@b^YVt-!8OjdhT&A5eDSZt2avm5ujz!
zXCTU8zu|xCN7=z2dDv2O>Ymd23L_m)OVCfdGAoNg<a8-<ywnU6sEE%>T)I8^0k%jY
z)3w1H#l{<hf@UvX<|P-5dDG!vN)f}Gg@HiLP5#%A;U6Fj8~d>Kb(E;c3)}zN!&_Xn
zP;~sAznyw37bxknGoyp%zkb*b-GN;76ZFCLZ@Slw{Dy#6dr494gu|6vY^PTBI-_8u
z@BA!yv2X@!KPhSCCp0s2lZ<rcD^`dLL2uaO%AD6~962Z|&G6;Zr#rC+;I;P(H+j6%
z-`~F)$73K6bst~5TCh26gEDq__3|`NYG$L|XIkU~zARK%T|$S<#3_`$wTQ*T*jt>V
zjt<yqwztZoG>?C&p6@<<959;Am_KD|@>^Tdcv;j`V+O#Y!Ag5Wxt|NYS}o7y6xMVr
ztnOr%j?+hYb@h}4`6Z5+cz|9YoApH_X1i_d@^q$z?5OzVlHwbH{*Sla0mu@3?Mik0
zH|SL#9%Mm%9$Y*hM+vVV(xkkJ4LXvDW&C8k=>^G4Mr{#kp}hvZ;UBsXXfXvt_c`~L
zt8qm!QLVPLt(;ug&3UaH^-tcv_pmU=6JMSrwyTs|^~$H-r*CARfv%|C1_WK@m!<gs
zg>F`!BjKKDTX5@-#k#A_OiDiQyDp&zCl31O`hG<hEsR<>F_x3#;@&~xyW4_kMW1f-
zt?Y#yyJ`57I-hgbSEkn|)Te>%Eri;Zc`?F;R<aWZ$>zu{)rL0JhC;LXsyU%QMx^)-
z2r<p#kwq#tlGbzopc;Afqfo>B!1_<Ioqeojpfz1#hzo(E_x_SR%%gnl5j&737zo}{
zNk64FiALFpc&&bP{icbW4nV^Yh-}K`2#3`F%_%f?FjG#tvA!4E?G;FUeV*wOC*cUE
zBylKFZw+F$Qki=1i<`jeKB0(Rkc+UZI#>P_)>iJ~FQc(+-^dff2N%FxM*MEaLF?3$
z#+)f7zeYR8G2y}RL$Ao79>KXqj>b)Hb*>z$UK5V9Y*R{><2?8)grawn7`zruX+3x8
zi--P6{0%kt|1LUP3zPm+h9*~#`5Jggw}+3ARtCAGiZl@92H#+rXUprrS5dYhqzhBt
z3tM)6Zn>=eL9xrcW_Q<NSrdi=W|cl!^YwK(>$%79hzzCs4rz$EAQ2n?R7d9Kj^4~J
zGk=o=^oqEBoh(;EjwccQgHKhd7BTHRHg5KU_3Exi<5+08a=b0o(Z0^2oS$`$Fj8yo
z0b}InG_!tvQlDGGtt>F&?6GEN=I|+$#_g4ADGndg=39XrNTHoQS-b1=K;aMC0KI#w
z^7nA@rs=X7VK#hioL3|PcK;7Iu|x@ZbPAET0XdCr&+O~qL*w&YAYG=>h|8sfZ)iIu
zfb^T5mzec&N;EOt%Xeu{h%0gBLUwxh!I24o7`oSP=Bx#B8LTCck8Xi$IT#~%(8r3P
zgiG02wrkUA%DD<pM2&$rG*C%ygEgR3rkKyGU0xqM9v+?%g+sSlpHT4k&O0N3nT#xj
zAdHcXrHTg9S+*(7x0o-yw(O?#KzC&_?y%pJD+NHvGVoax)eqe0^?Oc{(VxRcULkf!
zcdqWcjxjyMCmZ#Y_qU0TTQwB-WyLa?oxZY1vq3TNbLy7p<R!tVEi}EsXk5_1?~hAT
zertk6@)->7$kK`uKbgBGC%~_xTnKZ}8a^|!%>dPI57OJ!LaNjujYvZszP)LORxB9T
z#!uzBM$1@upxMOF@a!R+6-0_db%dd|E2`UOSyqj+a#b3i)Guvbxl-JKmLDCG*o6l(
ziz2+gFW<8MbneYsPL(*u0_3ne`QT(N$FHSEeup9Yu+*$~w}ae%$*!yH$A)!bwQK>E
zYKBO49Cxzec$>;y=w^S*5G4m3@NTNVs=B<})+Aw3-F^iAq`v%D>GZM92Xp!Jsu_D;
z6ql2)o{vW;%m$n!q8;bPKH&cmoT+-*Cj6-=oj2|!;)5ir!oK_&Ni|+9Q2gA&s#P^v
zI82``XgJljE)UC3E2@*u*RHT4H1OKuO%rzO&ws}|%`h4PT5<ynt8kyR<2X&@oQ+ib
z2LEw3cFNLy&|sMn@=E2Cfjwi%<FqlkCOcH)*r$&!mqZ;`ZHHvF!>Fm&sMT1m#wxQ~
zFfu$tUIn2<-R2B(3tpEL-@Qs6i<~ygQphWfSQUCrt-Bx1<QYxx&(O?IyKavA3-8ov
zU@WDjrPZZi)+al`l;2h`0Dqf`J^6SIhzTcPe?>!tiPw{ieHzs(+lWjzvc&~D$j46$
z5XM}Yi_N|8%}MaMRG6lie4P@{peBso_?~HV+--8L8t%baZ8w-1(u|`vor<m3zNhCb
zpGkFEUtl9d!*A#tS|1fI2@R{CwA6s*g%M!CKryuW%(fnfej6;oI^t-h9LAoyy@yl?
zSKM(%3UwdIdL<wh$v12i+xa9}w9LcFHVFNI&S?Ib>`kKJn|r7j0<R^^kIXJg*I8CL
z#iI^y^)|AvyDA&U#8&YJT$(<8#{PsAg7~MF&eW&r@V4>>;+)T!ji#wQtVPw;f49_3
zPk#{$`5nzYWr_C{NwNS?jRg*aTCgdBc!|hT8OwqIJNvCzu`?FWqs<(;N4GWK1Vs_#
zbwJ0j1oYJ(B9?>^MxRB7hpbF<9JjNGT$3hxS}oE&HU0=ez*qL$Qgi+K{87g5HC5Ln
z`J+K!s8rV4oV1_7f<8!m7T!dBaJ*Pq0r@rSb$RW|{_MFO+ph|EEp!PuR3h1YTj7tA
zlT5>n*o`JYQ;{QG(k7VPMYzKE!_3Sq$Hu$yVjnzH|F~5M*%qpuMk(Hp1nl`8G^&7K
z9R5!nqC$`Bc9ARY;g%1#qlx8Ln$P5BuOZ5BUNwB9Gei_2F+WscLo-86De0P515oi*
zz8C?T$07XCe(F!7T~Vy>)7A=K5@trmJGJdF?l%MxpjLGuUM~wH3<+ku6F+HF4;h?-
z(QU#_Y4JFuy@_4AEc6qCk$D6oTt`?`40E}t&@@+n!)m*%YNucH0Z+Ud@9mE-;uD&y
zKcAk<{D;Pg7^jc6JZ8eI-}{X%y(9FI_sHqZm%B$_dpek^HVzo~yS&Qen<A=`#`fca
zXg-H-TYP`~C0|+*y$To<6bV7ne1GKA)njuwbo`0lb1ZlPgNv2i&~fT+MW+S6!)<@|
zJ!bNmznRGs{h2>o$HBd_M^g$wF|~uWUt91^&Tggb?fr_lo;b&{Sk?1wmw!t%aIA6i
zz35B<rlIt62{N(sO&*w^hs$eqkx0|_IQ%4}U4eEljxjL<T_2;7h>9u(`0Om?K{@&T
zW!_AT`k=?|{1MWS$gG-+%22AyPI|<E*X=U)6s^Qsj^UQ&!!`jNd<SAAN3Is2>g8h~
zX*^777+X+nsJD3f^Lv@th0lS#H;2zw{`-7*Go02u1|1!W{`wtE`X*H=ph*K9F-!^r
z)=kWgo<B#U>f_W6#Pa6F+Thi`RQ>^5`5+r;h?hRzoNc7`I@;{+^CX60N_1M#CTHC#
z$v+`_*cO4FyheiL_DU!^3sj1!>ajsD61xaX@2d6#tnJ2t>$gDHaK?B;7$>7l{#Yu|
zNAtq8`$f(<PZJYX8GbCHZBQHTZobX%?mUzJNgQUv!OvsNC)DjfuET9{uA0sl*;7eO
zo}v;eC=Uq%Y5h+X49mSubNaI@q~`T&5~Wl=ETo8Ft1WF|TV<>X66w7mDo^?p#(e~Z
zgb<yFewAm5)K-CUJC3o?-hNdfDYjUX={%6G8S{+*J%83i;WUw8AZyB0AbLGQyqfkc
zA9{(rPkxpS^1k#Ap03E|u~9(pv*RKCRzi?VWXox!j_x%vTwa3nF`t5-h_Ol#$+!cB
zXzye(HqSXHCx_Lz9oV|j;BdrZ9jwpold*KbTx90LPe+FWx)&{+aH03-6OXY-|AxsW
z*R)02?DG;^@J>F)$&_zO!Uz-B@eNN0z;&2&0^%cZ8E^SHF|@D_XKwa5?^yYKlyI#e
zHS)7jka!aG8Z}y(+`^3W;j{ICYaKYVi@JY$<b*?)hj*k@%-^zdq3G1L(ZvBfIj=u_
z>j7V<d<#zaeWUHTf%m4hUQ6*0k<NFHCyQO*_XQ99mwSpfpXXJ9WUz)xQkbny-7xd_
zB=On>H2HZ4?>)NuKYA{wot%DOeKyk(`n_ICU7(3q@`@InE5;tR_~D=w$z9_hAugS5
z29>?Pm&f82{wi7?kwQz(+JFfiZj7mZ`alH^6A>Y5k99J@gyJN$>3tAj2$XlfLJJ0Z
zl7}`A{r1IQo#rCSDjBtT!B|9?c2`4Z-M{W~#MNdpHD6P;Cr2Rvt>7ff`M^+;dnmKg
z>z7obp4okl>fgb&Q!~vt{0V!5iDIZX(ejM{HMCqM&y|EA?cBgIxp(>aVUsQ+nQ0D_
z07`~Hx%Q(eq>3r+a;fy}O(~xp*v<vHPZuC1(eJ~F`~zW=frU>4m6l_b+g~gkR@SsM
z4aB7Ib(LGP>tP%MD|tqcXQByMnX@jYqnl!EnE#6NWT-FCrxL%|Z8a}j)A@HzcEC3A
z{Pyo&oUGEOo+j2-6o#Nh5iVQ3ziLLx(P@ARa4Oxq-B+tfjhI%={!0#kMGb0O$&0;6
zUCp$pr_mgZf1cQWNE}d=khlW=Awh89>l9o>jI_K6YnRlDXI6e2R9=3+BEJ7c!CV<Q
zf=B4Elb_kuZt>}|-$YsP!XIP+h#9(+dk=qLr2Zq37!6{%+|7D&Z7?%m5X0;p$^ZDk
zPdYEBCQVL^eWQrb=~qy5pXvrw`J`%w2+1GPb_;-6&qu8oGe*H33szd%tKey_X*A0q
z7*^4jQCf|N@Rioz^OA#DC>hqX2auq~eVgE2_YnGU{|s~eo+tXJJGnb0IuEd8lZ@U?
zmV*dVMcjN0a>e8Qw;T9!16_ApY6?Ke4FSOOE4E~>?j78DHZ?X=lXPu124@3pZS4mC
z9t(3&kRfs)M0}g{Tg8}aRTOsGGK2ZvTyvmiM=cbMti7@`PCy|?x-#EuRmt}faS*!D
zNh19Qsu56itC#{Hu^xyxpOyFDymaou(?-lZuBwn$G2|&W<_mr19g6UuIoS{9M8CEB
zRoCEyW>>@>Ofv#J$uB$FGl58VNI4bzbhBGlgo}&o2aM%n#J2=4NxWsQ^6~B);7gf8
z-B$O!Pt(uIs>XJK+0B;F+;k~Y+T|=!k?)S3FEKQnRB3AM5wWtFScdm+(^BYxZ9O+#
zz90y18FHs?%)_u-f848%=c23?#CW-fc$VI%2Zd!0N!Mp-s?Rsu^4O1VbvKOFy4izJ
zhxG|}Y7cVZrmrCOD>_R|fta>NG~NTA01{UatHSKacB@Ah-PgQ+w5RhAW$Lp#P(6B$
zGI5P5UWyxOzl)H&)zE!-JjC8Bb+5a-L$F(xnGf9=gP%!d)*q{O;5k;A-S3+xClfKd
ztcLwo9wmlyPPlsnaIn9bPGg=pprfbPv|0z9^+$ktPA_`3$c+)|B0hmY!t30NZoT77
z4o6B4`&)M}x{r?|o1!VL$o{Ts|MjEWsb4YZHE&gT(6GXJP?reXPuK%xyv_&ym`VW-
z5b;z%8;OdN(qp#Dg@b~}Ir!k-nG;lMlf@=5;I+_i)MD|ZwfxuN-Y2xw_nNJFzEU}g
zZ3QC4`A^niwI-Ho)&UZ(K%tjwxbCqK&b)g#teSU8q?!5Y+yfkc-n~HO+ZK%eg=yj_
z^2<v0+tA1j=^xnYdx?6|TAa3;B!7RIBd4hlZ;|eLjkf<5a#I<1tY6Tg)C5Rtv3OKb
z`EPF8c%S|HG7bi}led_C4c=(reJf31r}F@PRnHjP*iu}zH^@GSyp#aIPMlo+{-K8!
zDaAhpLYeip=QVTcJ|sONzGuIfA*+=NUkXUw-%n2R?O{EJr1l4^6L|am0EO*6WH~?c
zLlF$=vx>*-TY-kH5u4w>3kQ5`>&JI=E|x~7R2J&rc+tf3h<P;-1hAfrQ={s!{Fe&g
zh5!V1JgyaubWY%~7z+~*$iVk3;KUmyFC;a+5+pQYUC?PMlwV){{_){Q5W3>d?kxQ7
zyz8-jwa?#BcI3ybBhx$$Ol2()X~B2=0M2GT;_M&3f?tNht5m*~J{VzzVX7lf6mPd3
z=d17(|KKFUYx@DznLm17s4bh--OB*MeO{7NiJja+Jaj||ML)uFX8jP7FNd_jS-@J`
zQs=~1K5fr0DEgw?VA(-0R;VXazj^j-#XzHor;IbN{8-+ih>3W8=BrRf{V~}v*s23J
z)Rg!Qx@)T#)DT;(BQq5d+9F``0JaRl$Vt5S+%m}zjM;GSl53aTqw*2HX~ElCLpl2!
z^XTGFFn*KqGOl=;NS2TM+TL6sPOhg6MdY)j206V_t9qDB78(9vsf^iZ0a6_N=+^{Q
z38vD%w77e)53vcwR6dx7J%XrLa&}!ptJh3sDs6Rg#<}H8zDWa}LeLVr4&nX<7u`t#
z&=cUmTPygbno+ii+n`60iL?5j_T8zJ{0dtWKQ_X}cUZC+jE85Sl%I07h4FOR=y=C7
zUPbsZ$!#U3*#wzI3<q)rgQIdXsqaSOH=`c2r}EvJAbnCma(yapWEMO%7GO+)Mz;hA
zZojltrGqhWyGTFzP@jI_{%K<Q5X{aK0H5Yu$p%7pwid6m!(Xho($F1pp7e*a5I^8p
zOl;^<s1{LTo4me(u!8*;@PN7#Mf(b8;Wd1W`HI4`#3Ebm@waB{6BDm)(eruT<}_Qu
zDS40=93HnJqCr#JuV2jUibPSgZ0v0H1<al4TH*nbgQ%PD&2!}UsBkC*aFyRyc3wtt
zcJ+)NB<|>oVT69=Dt}xti8@|pp}MR}6d9V&9$6qsMfa?aa=)6uh%K)XCJA3*h>!t(
z)xPbSu=7fkf?VmdW|Vy0ikqM>wi?bvcS+Rd_wil!fsT*kurmLA&X){zw&Bm#D`!my
z|9G%r;-|+ho!nl(X!Vr_zWN5rhI5W-wFh1!`@rJ2|JQdsa+#bUGCx==lCDHxi{X0d
z@L-wIL)<|^Jf;T=VPYj%8>qhLTl|}o6_^OwNukTg)|X+%q3<gW{cvT*@1AJ<H^lhG
zRx8g<K8^ATPkmAwwopD}onLJeXKw-Co&6Ki!>lO%#L%z}7^aaOMndP#=$+2k%yHbq
zTFOA7Q}4+uDJ4}sulf$ycI0?fESF24_CmD9?7WE;4Rb1i6E|3o9dcxMB~e`PX#9GG
z|M&@4(<Z!io%`60|7X=GeQ4KB9YuXzaqcnw6&1{<R2gZQRno#>a8%wx$$%~W+?Yd<
zD>L7pGkkoLk4{glD(uT2J>o;}$#q1se2o_XV?b^E5U8&s3gz0&K*yya!kP$T7BdeI
zqfNc$BIXAOZyY)~&?sfVlx!rTJa~H-A9~9e=oE_h(DDL+Q$L^<bC&LM$?H6L5%?{;
zLrVqY1a1uu??o&aW=f?ivb(a0JhBB=8A0V<Ri=psdA2L=a~K8rodOZwcT#yNDbmbd
zE~$1M<$f56Y#Xl_Kj~%Dh1utF7YJ_^kZ{JhqUsg0BpFrjc94Jr1VR2PSQ527%vhd}
zZhqqh&crVB`&HlqhQt5l;=0uwBLXmqJ#?E1zmZJu!z|m&p4(az)L$;et%55uUf643
z4a|)F)V*s^3GS+<!q?1y_akfz{YysMr|N>805pK(C#zG?CkHD~Y)VBMESA5m@fIY{
zYoH8{?0#6@LtGgr{q_W`+6KW5hA>s9Z5L730xF(6=uoQ8o?#jO$f!?Ut=KkEB6-kl
z!8ZAuH==;vd`JV>DLWrKv2lIXYjbkHQagLgia|!RMknalne@JWif~9Ul_W80Xacl1
z(T$~$Hm4)F9Y|KlRh2~~Nq#pu;jdcId_Va6gG!s-TN8jn)qgOirV*sdfb;f`&vlo7
z&hyr8gQ_CPM(DO0d#E>4BwLK~vHXn(;h$;a*%>e}5Q*(MfgCU2j!z>jrXta+czrPf
z&np~I&3bKtm$%ZIXNNQneV895_=oiw1DwmcGzD!X+IVVdkx1%Foig+6$wODuCpHDV
zUHOW{#olK=aTZ>brGlz_L(vq1>bBofVQ6AR3VXPUf)`{*QaWsHf$XV=-`XE@+6vc!
zP1C#QD8QeXY$36kGyx9i_ks)OWUWX)ZGlC?|KVYf%4e#;$T5)0Z{Gna#)wsZRv?i-
z`~PC=y~C;g!~gM!Xo#{RE3*jMdt^sQHld6tduLP0%HBJB@0FcWRtPz=NA|&yz5VXP
z`}6yJzt{D>uKMpd=k<Dydpz#P{kUl>ce~$}GF1`U6-N!cc55qt#NS|)He60?Wnxl8
zUr?VdKbT)#RxV`m=fRv970+w6wa&7<$B$A>HVq)ZzjOQa<Z$vdU(t&p&u<sqCz$dD
zaoiENgM0`W7^{bg#_KoJJ|v5Ftc3nrEyl53MD0#3o$`8U;H=>1drvW`PbV8)?5~Xy
zjf*1v@oA$NE|nQ)5uUDs+g@Ky?f64(&(q;oHNwtF{k@ZnF4*jbuc~Aalh#pVM7!jO
zyqw&VRqcX`TqJE6!)UVc1&i@I9?|_-!e}+An_f{{VbL?X){W}E9|=cgTHbUr6vgfW
z-#jYGTZ=V@{MD){)KjkJ?QAkB5Pj@z<I0!rFwLKJeo7OYM2T{^2<em6gGVlPaZntD
z8H&?G243m_katUb&FGlt)t0sdGF-l9NyrD*x;yhv4~3m|JjsqXugV36vXzJV>y+J>
z6P`iW*I_Utft&23>-!A>e_|^8p?UBtI<X`6m1IKdtE>X>b{z^O8U=l<I+fy)jEZ)D
zSxMDX&}}yqXPlHHvQX)Q(9!Nx_r@E8GXgSIHY=^<MJhBx6au#$(Cs*~{cL)=hRIO5
zY()pSoYw+KE!afYx4(%>$_2mF!AlV&3eMeUk7H%|S`QJ)9>m|#lly=OYfk_9Iq`h%
zE$&+VTAe}>ZS%<ivXf7b!skBA$j18S<~Qh>#Vva!*Um4{hNeyPT&56<{!l_n)%s!F
zbfy2H4(rO>LBlMN+5WelUXN~MPbG_r`@+G&u{YFwk|mWTz-}`>&zIpixd8L_<~Z3_
z;@|Rgk=_lGQQ-@S^Y|i%<M9oT@2<IDE15pb%q-WABV3doq+5_`4HR?TTI^dKDoHJu
zkxM5m^V1TX6}^Fg)@S*`pz*(8D`a3=VZO4IF!}-xF_o@*Pb>4@45p|q6VomvNfnvA
z(c*K|{6!@d6V@mErO<!sEDW#J3W+21bu{$4i$2Hf?nsy5n9_bqpU93z;IU<R`bq*F
zp{(;KQyPN4s6vaG{&9kZJ7Kd8Nd83=M8Bts=-h{ay<dSRY+po@-5V|(WESIRvCP#N
zGpHX>c*iyjRgV%SUS<Uacgx(Mz`(B|ltNcHI0o-I`t!&7{igFEyd7ZC9=X+jQ!oSv
zL;wy6;-EVF@`%KA^SZOS9$xQcFBUB?j(N7k6=SaFZ$`Lq<D~qn`uydlr=MX0=%)^P
zMKIdCpNDiXF<XyXB137H#4+zz?Uj?cf8Vd_P3f^IxFp2h*G`WJks}c*Q}d6b6m|dX
z%6jMbY?!)vKorOGFBjy>BOuoWkXux?{HuAnK>LEUzJiMjB?U#{&37PDe-n=2(-~df
z`G6c3nA^adQqjN{9b0X@ne1<&P3gH-yRZ(rj9d<h-cTvFdOS7edrf#lgS(&WiZyQa
z_foT}Qf%o)!MkDG{AE#z=!$o003iwm0hKzlNr$-R`Z|7ox<+WD`<8~9?ATNMch(=(
zFg18jJMt^{lIHHrs9_Zs{tA@ixoq%CwOGN`>@q7UXh#}ybh&8Xfj-Py*O*<X5q0Y=
zh4}l6|Hml?T9Be;CgJq`bggBypcKqkdJDqjQ@`_6U#n|b5S1_40EW)|5AB+>bkH5h
z@Z19+wjk^9c3eihz<2x?Nq!t=Ey2x{b$Yn=Yg~!YU-E7*jA7&5pW9c8muu>`iGRQD
zS2Y*c<c#>Y+B%U-@$^xFdy7Q>4va^LBGu7|n6sy6X)Is9-@BnNRoS6?zuF(7^QwsZ
zEZr{n9k_QL<#<Jg-`wTJzp-eTLC|am^X8+f(x*IJkW=PoCm0R%{qXqQx7Xa&<dHS_
zwaHzvN|h#2Zhe>z4W{%~78^9{7a;;qHL<cDxp(49<nukOd68=F$KNF^Oe*Ga%saqQ
z-@8?jLqD~HrGMnk;`BYmzMY@(qnQs<XL<Fzjhvrw>5VJK_(^Klm#E<-PfKmKH4Wc|
zMg5$)8q@7MbIL=hhdQ~HR;3d+q2s9}@?PVG?VEq!N#kvMIPd8*K#$&y{}Ejn&gDf8
z`VY<wEC{AQCCJdx%26-B`G2!O`xO731Rg(M8>{W~qoAe^g}^97KPb`G5@lL-$!^Z>
zx{l^>aLSNg5L(^Ps|*o*E{?)L9~SLFW;8MG-O9DZP?%<1)Aw41)2hx{g$5a6C{P2%
z{}s;x#&9Zq&wUe%i3U*GSQD=o68&KPY2s3~Q9a3YvZ=MkoqqZZ%5(7xJ~T_9g)hi(
zb^LMow(_mMu~Hp1mJM>{m=H7}ckiDSDLQYMAvDf*i+CnUD}MC(2=`<pyOudJ(x>bq
zW?z<(IdQUt^IErqPYw`D<-RaOBOc2e=Xtgy!C2s*3dl7_Wl1#Xbv9UR>+2GI8vIH^
z6jb~Uv(}7F7<mWFLHcQn|79vp_ZrF%KV|LYFG2D|UMFTYGT7|RwAM@oLHSdTpmC@5
z6@IV>qlE3X7VllS4e#XWb;{)bljEa$b$Y7bbB`n0c3XQwVa#}7zX3JZP?dX2PuKUw
zkxjP<xs@`)_99#}3iIk&EZA2iZ>tQ($wMnX4Qs{z{36%f=CT)A7mwT<t2)nBr9NN8
z(7qog{g&IvM6fxR<e_B}7nVa^ncX<h27z#H?{}wGk@{ZP_{;o1eGveuv0dg_n6zIv
zyOMHZR^cS8Pv*!f$UU%m&s?+fEnFq|X9D_McJavv<s3H9HkPyi9O)kuFjuOl#{XJN
zVrW$#aHP*aN&gADBenf*c70|A$F-YS2TkDX)4PY2f>!jE-(;1Y#orXs{Et!&{K@|%
zXjhWg#XS=s`qJX30`!a*{H<{)^7R_;lPb7>6|M1(R#iD42zGxV23?OcA89fm_oF`H
zFC1L@k5F&*xG(+tf6wwAaM5QJI`@%I=ntEA_K>5iQY`X9g`@4Gv>dszBD-WXZu00C
zq@UtNf9C&Ok+IE|LJ_U1xlE0}Hxa89|B|PWdin*z|MMjOccp(ft{k}NA4{zg3oo_u
z1<z-N52Y(+JU2ErreS2fBpX7Z62IHf*mwgf7+^Jk6mtO@L9%uC&g9|Y_t9+FDwVQN
zLTGy$s_iyi0i0uJ{ep@iDYdVoMkBQM?p=<EIDqt2TuqIrCshpHHUkdyA}FFtLQ<#R
z`RYc;O^arbC=ctsC|yDF@?2nr6D>gdSh;xtALearFYKX;0^Xd~H|kJEms(MWn1>3!
zX!`s&M5xqiT+q?L)m6~W&MxXgjJh!h!+~wZfswSbFi0XiIyx%_g5;0D3(7_6;GOFt
zg^9<bsXB}~jVsp@K-6GC=WAWC3llk0B)aG~mPNAGn0E=S27@nlL;$*W1P|}eXlVo}
z`u%i+Mt^__b5=-zYpQ`_QOorPp~D$q7s;a2ru_0HDp9nC4tm1_AdU>cN<Ay0nJXjF
zjVpx=|8$bKc3DGvQ&HZPS95GfEo-KM-vhIUHE)p?%B>J>kcIjA8w(gaqQ&MHK>_q;
zH#X|Ljh6;v^yX)GZ40X(sTWq?wD)3;r|t`mLs=}XmD5T=e7DQ+k#X(nlwQN%1vWXY
z8naB(S+ngeG|ONx`zC0!_2np21ItNpGQUiNLFUf><E^#v+fWQ@gG%a+TeouESh~<>
z)q4Q<2o;+QN&MmIQ^9+uL;HuWbRZNEjp?D%tV2L+eksE)tXZ$EROEzP10^r@HJ+P3
zMX{~JK2J`uS3|`Q^P)S!thMmRh2`jrztSJx)%l?L&^Y)xD+a5C+itk=ikQ=Nrk>2(
zp=$K>IWx1v-0cSR1z3l-w>8A^GS+m|F>Mw6Tz??1Fp#rj+Xa;VV{}H>2<o_aUhPmF
zRXqZXt*Y~6Zwwddw6^l96*4%GqK5EN4G}mK@<fyn?;|d0czF2U0kQ;5;@UeL-Nliy
zJ#61VUzM;}@$@?vP%h@$6RHfZt0sjrPW9D{YfF6uip%e#azoOs<a^tH^cTtg>l%^d
zci50nk-ndDb$#=PM<e+QtzH@Fm{EsyqLVRqB9+64u!sb0<M?zXSGVYItdvNjH>e-E
zPs`q%_5uY_I%?spk<nbq<R~EM*6y?n)KkuRwRqn^^(9)I1i!4Ir>BRl?*hY!uf>dR
z>2sfv2BsI&=WY81H-W0<D^Orm_CqT^Sov|;Bfe4Y!azP5hxh&i{S-pilUtCJmS4%}
zhE-pMBntihz9%#~s}UXzy{s~nU*9_Z<9A}_*>!)UzqkM9#RlOJU4v`s&MHy+NUqi|
zO0>_OFKpb~*H{S@$r-GDIo<Nc)Ivyo2kI-GhJDaMmju%*rAV&k<-#D7T%a3@9xT$K
zCEo*#i+W1W<^RIPWi+l|YO2QCc((qz(Hx7`99vRD(f%6C*F1YeYq_?GZ>HVF%R6T3
zS4+l6o1UwWpiE1I{a-2U<nL@u%r2->iRcdf=w3zArn@rCKCAus?Gb6|gXIS?)*>l2
zW@|`Oltr*Ep2GVjIl<JBH0z^RuDXl+u0{+EsVZLMr8IlD9%Y22DDf<dy>E7=Ct_w{
z`ighEEsCkmoGC6{ob4u^vg;Kv;zNlY|6!(;LOau+oy@d$m#vTE<KyMz<i0HSWk8Ys
z5{zYvlB37L#s(ch(DZ^D?i1<iUuy(cVRl=XH{oSrG1e=$cbSNnTN=D}ADZ1bF&s9k
zu+zlMzCRXBFZqB}n2P#0rt>pWmG#Q+yEE9HmI%he32m*9yak$M>=Wac9P=*`YquRa
z+U^;*6iW;>d1f<_tChsLO(cmIPoaWqWSk_rE~(pf&3pXoPCexK_J+vu+7eX&$8jPl
zgwFz3W+mj_e2oNdRz1SvB~SpI`Dpt7JWI1j>&h9SUMG|+f^yJcCkoia=t<_pfB6kC
zg89(d2#puWjWTbhK&%*!dlquoIAZpaVY;Yd_&lSl#C)l|Xjz7I3r+bRr>sd@UcEG?
zTRPKAvif7J+30G@hr;C(H!UF};?bki9NJ>)qjh$QM|E*-UeCSxNSYAr21J4BSmkeW
zCtY(11-bKM+^kzjH?Fp@Oj@;$j0a$|-?`sPZLhzgy6CRL1Z^AXU+t;T>H}5T8#!}+
z9GkoRMN05C9fX2u@>xf>S!TtWA@mnMJ=%Ot>;n8D`LWJt3c|)Nixj|M`vQH-QKYpn
z10ZZS+rmw7x8fSw#PYxU(ulgxmClzrXI>Zk!t~8|f^0;Hv*$=4!|hNK=AA<?>%JXY
z_HjER>(kPzCzQ#F>TO<r&ZT!l6#2S!Z~G~G?VA$U>Sa7=5UUGXDtBd*r@>z)4`IU5
zPb_(+V%^VX^0#`3gtXjKZg^6^8N2+7<tlVH$@mYAqx(3Kk0<wo;$^gI?q=%s6PErb
zy%$8`?LW()5Hqzt{S93*xU$bUykXn~Yz=?F*762TR9B4hTB8hguqx?E!=-2=f|Vou
z<SdMbbD5U%>K&0k24`vWHbFwpyW(=D>C3+{v0m)I@$?c~XB1`E*ODxK*G?TC^Kq9@
z>nysr5SCv#o}I0d`CMCIJEu6rg1tX8YU+09^V^c8sP7AwwmJWPM-{|B$(lNri3$k!
z*f^~!1?{{Ow>IbA$=t6s+J#4_>>+Qwq?^=V4~V4RGO|qL(13Zg9HMUM+<hn>0X2Ej
zE<U1@NKF-yYtY%U@MF1bMY!6*|8C6tI~!qm?zHZw2VHvu<KcAvfq`!`Kap^-;z#;Q
zxc>wyHCBbNsj+eHd%By$GfO$CKe&2@GkE_kc{<(S4jnpE?ufyn|FQnL;}lmxb==@1
z(&tANbNobt2e0!fm!wWw^Ns7>{dZ17Lk<?LTN#qr)mEyeSNk%gizF7hllfy4d`3?z
zxOX>%G6d6%{w~*|=6wCvhYPOLj{3j6BOCW`s1+lbJa<U&^r&rJu4K$J{Yl?H$<e8K
zC&#PF>~G#;*3#T)+P#ZeM=RU3C%hs%_2exS=-vfCC^Xe+dw-+bR!?D*s-hvfJ+QQp
zsEeZ0J;+Q+Q4!6vE`|9kRdwzsM=nybvUI?vkLKvEiRwMnk!Y^6o}@DH*p9y0k*&Va
zu=<bZ?3f09*<~?$u)W*3pRmh!)8{^?#l@N4DkqD;M_=t#Gp-Q3ofIQvr2M^T<%pP{
zC+!&_IU0D}6w(yNbrG#zYse>y4ON5-c;Oa;Z!z7g4y>6=Hjn0J8sm;NAE%|)8KyvT
zD0rS67IP%BD-Q=!azK4G;Wz#dH)XBeer@u2f8$4YX-Te?>H6bI^3Ha2mg5>m-tE!#
zbJu8fLMw8k>szlk(dE|(T67gk98-y5ed8mZFK=p9Aatyq45}9x*yEv4rY;T5*@>d=
znO8@o5>8K*H0)7s&Ms+pZxOTXO^q(N-l6~1s}|iQ+$?5&+cQY?X|7nRn5Rg>V9_)5
zX(ejM4p?tI6MH>zC>{-eUt_w0SZhC2u9p7mia1rv)lDm8WPkRVz`Ehzr5)6yHOI2A
z78||jhIvWj2dFxx0U%k|U3#YZ^(XnuRDeSGGnzYX59ltAFD7oElpH*taJnBT`YboK
z!eG&ogJCnN8Q*XtUBq{-e#p!%>gA}fRrO|ott!IMZ7g1*=qKOT>7~rkY;m^tAxy&P
zXwBYKwZRD5+@>pmH+WkJ@g-7n`y^wCGXA}<8`#ppE9LKfD;xlo;6;jTw9|ctxfoDN
z!&mr@E;RxsCNni#%RP4da@t|QTJ+Biy@bJE%WZMJi08f2v+gF}6Uw%_PhPTK-yp52
z59S`iHoANJRBy(OuJT!MC-KJM!WC<!oJ<ythzATPm83x@m}fh?H*zK-?JU1g#Q%}3
zdCAu?@~48T{#^=0Q6(LL&k;;Wdj8`h8FRUB*1==U{jxSHH1ShS?W)4uf6pZSe1GR}
z9KX4J+PtUB>dT_V8})cEgb@Vo*!Tf@M+e9ABCSHfYW>RYP1RGDW<!5)yLp+t%&H}P
zlN=0xlppWShaUUtq&}yAur!J|xFk{=4#!RO{J8Zbc1Qh&_PK0Nt(rsYfG^2>h#D6^
zlXnwnaU^Iwo&lb!^g*a%uzY6FuU}7yJ7zxIwi1WdXT{j_^Z`y;M@jtyFU1pVzY+C|
z>Wf_Fl##O(_+CeRhRQ@C;xAZXUeu;@E>REm=&$h=jdfAC=4J?tre*wVDo9U;vF=*R
zkgJF`J$R~!w0Ie{LDVkc<JX2xL?(WF3Yt=%__HN_sLZ8O&zsGOc-wAep$iJTdQUG)
z!#LVd&_K$ir;8au&)F$A;(paHwI9wJJqOx;(6US9<K<CKei+Q(>Jlotx;*8ZX1STd
zys=%<=l9^%M2N&t!mY%?>|2S5pOl7?w}t=Vx4)I0$gq<ZqoW&F)Oqx9V`9O7$oixd
z+smrMI)_k2c$lCqm|J2x{s4yT(YBa|qS1n+S0WK{flL#VpC}Ql`_Oe#6b<KYCPeP*
zmt@eY1~wfp=vrsD+BrEng%6^&=%Jn($8SrEhIT)F`t-kAqvF{&q-PMCp1r}BEnXik
zwXm}OxD*p@6!470qeB!l6_oplrWSldsa9Wdc-n29M8-W}9r^uiZSxD;^eyN5?T=2i
zeEf^w>ly>zEFtlHb=*EF6MkGA&-~@00KS{GZ<?nDjYK5fJK7~3EnO8qiN0<x@(QSW
zSCH94n)AzLPWr;_<!_I=`6g)?7^J@|K`*&sL6{%?m8HP~QXsy)2eoH>PtRh~>h_Ua
zF3A8@a9xhu#8-AZfO0%8o82#*;P+IhV*|Hc3~K4B9owTD5|`hTxCU)axT)T_9oQIz
z$HMGSL;Lp1ZlE_dF>zRW?%g-oSXqBcy}c_xZA}PCEQ&-qr%sQ@DOM-Z*T)ZcTZ>Uo
ztn?%$3v7zG)OvyIi7!<HlA)fVDk^u!S!8UeGJj!);vPP?`vLR*NR^gsr)DY+d1thv
ze9o8!a^YQ@QY{H*d~|-NtSge6FwBxtNr~z;#=x(+A~vhsLz29<)Ef8HYeyEo|K=J8
zvwYO*x!;(KyC-XD{u+2L48x(w#5^0+30(l3jbJwr4G0Q~ga*Dz9r{c#WABX&{4HcJ
zVCZ7GM{5r-q;GpIC^4l(|IO*?<QPg-tPgF^x5P0CMk;qQUmtPNORG#o_EdCyd#(4Z
zOP+l)sZMRARkI}e>%QHn;q+>zPEIY-Urbef@s~@Rq@IkAhRL?mW6W|s;%e!S7cd0u
z{WivGul6sk`j(qdUd|vi7|#9dP+#&vW%N0BKeiOqeCSv-3JHp=Y_}FwSgx7BszHxT
zgieU}-ygoc)6GF3P7{ae(WFIR5t}G7FpX+pHIE51wa#Pse)SStclPwb57Ei4JgyW~
zF8LqxWu5i=Ldq{uZbnCw8>&Z6p#voBM68lR1~F?i%Hlgyvyz#Y3BtIXrI?PJ6h#xO
z`xY|=GRn2_=ZRTolj;d%D06OL;?jh5U^;J~YVS~sMi*C*+zZo9&|qQIM4&aq_VroW
z=UN;Ce-NU&<!iMcQ(t?${hh#a&*F#9{@6Cteu4O7C9;jjEcaCDk9)%j!Xkq<L}##Y
z+vE8%WtHjcI_tV4|1yc7c=wiDjxD>oM24a^s}fgnX}m9BviW%UDR+(^n`V~(5^UX1
zx7QlDyY)iYW3Gdk0o%~-QCfq5G>f9zJ=G`72XPrm%ii~R9~)FEUQ*PGFf5SU6+(6f
zE50>|;2I3L#_LYqtT;i18g6T-&6pJ#>K}cTr!~E*hGlHcY!P$|1JiCEZ>}`Je6G!<
z{-e^ZM6n#?nk`pfPOi%xco5t@lDJy;*rVN`JvBTD5&SnlOOUezsfbKL>rZtZc})cA
zcseg6Sv2TVO^dE7H6BaZ=jj#OeCU-I?|E<s$EF;;=`yB=6Mr`fV;qI7otj9ga@k^s
z_;kq!SNtm_E?{8Msy<)*9nEQ5z3{s#9oxQsnZV$7KM;lM=QdWyy7PMene_5Lt+P4E
zVapVJF34*!W-pcESajvh##S?fkRpqHTuO+y1+#R0DG?2gX;0~~>F=BS=E2(9HS#8#
z9YVc4l_?E9NfWjtSa5jUu?1`2PB9O0_H`Ke#P}&q@HV1Og?RN}vMC-LVCOVCHO_V?
z(>3~aukT)`5MfaE*z;QvniYVa!}0Ce4>Go7qD_Yvu#9W4#OR)Sds7^|&?~iT-lA?C
z+mo_(DrO(-BIUMHmPG$j!4>*Cjq>`wDsg`{qKKpI-@!byDP1fKlSEs)y`f1=Ue<pW
zY{zm}hK+xGxh+y{GLNITBBjuqRk(UIHK;z@XI_9^#ey~a$<FRU4xCa+AzB@TVvfej
zURz<|C^253!tNngNujP;NlFGCY*QMsR^xG)@ZUP!gpFvjO>ei56!xn_M}KXXzwX<2
zwQ5QTRek&W{+{Sjo1><iMqvHO5cgfWMigGdm{Xu6_K}?UbvdbbHY7AOeok9W$yJIn
z%KwsXFCae(q_c&Gy7ERFmi09ylu}}#UoHMitH5oO#i;0xYJVw{W~uC5b0!^TuBeih
z$k;CDP2mL^Qio{e#IYR91myyC-Yu)oP35&DydB{oP0D(u(i6uo<J)SHn#{D;qKL<K
zpVusK4yDDfSKn>3kAl<U@XhvdR~=pwdz;eHVc7fTigCBqtp1a_D<=u1_~*axT_cno
ztw0(T-m8~VsBSjls@vFGB~f)Gyw2E%Gt<9u(5jC2S3y(#n#XtIpzvM;v&fi|F2*5A
z7iF(?zc#hVe(8-)f411$-F^sp(#@fjsvhma=anj#`7!MhKKTEbW)v5{KJJf~TB*^L
zns|V5-P-hi6uaLw)L>G%)r8HT59nJ#uwE_R-re2xsAhC|Z%<~Ow^zGLSO3^TCI4cG
z*FO0@oi9htSSR+2?}fK^tc&ML*(V+%>YGra!?c689+v#by3M1#DeZDcR9_||`7b|F
zw|F(jW22VY?S*9#jYs^Jx)bW8u3MW$7d?Z$DZ>0OP2Y!y>Rw!R=oVO8(RnK9a{S24
z)V0Zj=hb*=W;5f8B-|tdImXf<;`=Ddb%k<P(#cEpI+FQ>N2iw>%@6<7bE&SL^hyTL
z2I^!zwcM?m&Qd0Ae>+Huns}YKW69h_XjyRhI_34D^Cn-{)T0#qw_+pJ3BrG}<@2kX
zcpa#DluvZL{`q{%H@Vtjqxt#z7A+0VO+zoOt8g^A+)F&l)n+tZVkkEpv#(?s%{E#E
z-$l+}^+($>Z&D2Fg4S0Rcaqs76Ks7O-040iZe5b|bM}m+JPdK8`24a~%bd(KG+0#h
zV`8noj7Rf`5ei9}AlF6y(s5lmS%7J`c{_-L-%fDpmg@=rGnP3MuDE&IsXzCIeuv<3
zx~yeqqWE&3sZH3jGTvN-gGAqYQVItd$7_$IXoCG%bmwTOp}FGPo9yD>`L~cImk$ZV
zVXdCxZtWR2wU%rb(xxdkt$9=tvBWV+BY(MX@pR9uG9@Zx$V(rms8K(lnAe$|{rX+K
zG;%~~*}jM<up@bEc=EP&!M=2T%mCY3g6s+^3m=P0B>t|fa?&G5&jIp&EMu>)D_7mX
zwA%PRLEUw*jdmPu8Y(Q*?W&WW{pXZL@4Pk^A>!uL5zm!_G&pYY8sYz}+0lo7FgNV#
z&-0_A2WzOjugN>FKO<Wz^G$xvPh9%TT)DQs(S4c9uV0=#*(#5rhL;6ZrYB}G>ik&r
z#J1|Eev{B((~NKWoL6J<qpI=I58v996%P5lq6u?;Qeo{nU9%n?;bmhHLFJ<?W7~K!
z%W-h1X%)eWjonD*bgOqiTD_F<?q%fWQ+B63`V_fR3EL0~flT9$i2iCzUG%WFMN|DV
z-*kHAna#MBUNytR3G!wsCx$o8H_}wG>LzqXtH$j0GhSUfr4sQ#Ayx(Nvwu7qaOC6V
z7{sV#v-6GEXW%tp8(vyQAsS^Hs_ni01qx=(is5tHd2JnTe!ItF+@Iu?BeQ3j^dZ^#
znZ`rGNi~)!KHPSU05gIfOsv_d;E8{crg|ph^BsMEU!Eq2Rj-n2?;PTyCrZO~CwVos
zsNaR!sxV`R285cTK?<IeUEs~PZ{c9GFtH|*D<5a~Od2{c#Mhenv7v+)6SFw22b=Ln
z$s9SQGjjA;E=*W{#+*tnIi<hcF;A7luU01}>aM81G<5*Q_WwOs)_XFK^_d11R=5SH
zmI(cf=S}e+%`E*bK9$--VR7Si^!4@KBqe2n!5k5o*jKb#h8I6^pZU3GpJEGUz8x78
zQy=MB6>a#=eaq23Fu%FwA$D9f?x^WpVKM2frj#POu)9~hEuLx7cPnou;ri1mi-&n@
z2YEb6ilqFtr`-nb6VkhGGZ%zXYxA<l9JRk+D3ba=*68Czk4G`^d*Wjq4-eb;jN9^4
z8&jSw&>(>e@Xb#Fgn}~V!fEwK%Wj};>6cneoexS2@+d)@uT^yhyd9*;l7`Q`wsKAa
z97X(Ng-o3m^u@hXZiHRDP$txXjoaQr)_fYG!yGge7wsr?)O%_FZ&ye$;i=mKKa8$<
z(Rj4KsQ^@|Ip79HLfaA3WVajq3S2h}QW~03Q7i|VDA>r4NH%R}@q>?AuiZb@{;luy
zq3k-U9>UoI32#PdU5Jqh{z>&`-A&wy79D`l5J<sABH$2++JxAN>~`cPykBo)y<GL$
z&V3>jGFNEmgw0D4wP5bt?}XP*%%Ty+Ve~@|6#gTtH!q>z@&X1EE<srGgDYEijL|>e
zr<7PBDWjxs?GU!PaC2_ASFk<cTb{W=wy-xs5)nuuh+hlr4~^&`n7FO0&dM!}{N|o*
z6ua@qT?TDs#c49o-*RQcL-uOihr-!t5(<xp@qYwZdroG(UF=#*3r7#IjZC^>-sa8|
z>iz+Nc1l5q()l~2?E2531DydzLe(rYAd}|+L41@V9AEKN?aTFn^Kb3~Utcj62C)<)
zO^#QCtVg|4b`LKL(rJG7#r|C6;oKM*%6Bz#SE7v`6mdannFW@+Vi`RtuN`DSie8eZ
zbj7l>lP95S7pTmMn`S2$L|_Tg5dzw|>%{#XWfm7#qCQ<aX3C5#C>$NOpI}kR6kg7c
zM|J&ZZc?Zf7&J{5P3uyE*c&*v9l&un0p=T`8t}pZrHWs^(lEi;(ic7IM!NvD6m|97
zCg2*!fbXuz6bNO7wb?4$Jv7d{uVbQtSX~Ja*+4GJ&i;%Ka`yH}R{3TNmE26gPSWke
z#7>Xw1ss>7hyxvyB9!g>Ufptytp(D;25@6_e1?Z?heOZ@z+1c&ee_7?-h|wwp~>;!
zkFn;z%kEX#x)(IKQ54qAavBEe3$Di@AwF!Z$&ld)*v<O4wzm3Du%?K4H4W{o1=r2!
z!$kHhgJw^}MUMlI|9R*S@X%aQ0)Ce8(3O4W+BH_F?_KkHZ6BNdq${b^rk%K$CrANA
zP=vF3laR0|pQw(;f8sJi+`WsnMy};8_8buOqhR#3&Z>i;Z*y!&vQpbGp>C*R)vVDb
zhU7H=Ek6rcF8GMU4~R>w;G1I%h({lZq5QV7O-nZ?PirMVco}IRSeXwQIA^~zK5cly
zW<Fu#?%v=I!zIgK4KT7iKnkNrKy+Ewj5DIA5`#iqXL~qZQGFZZ_-`A%+$VRICYzhl
zg#wsV#!g;$9<|dDyoO7Y>nqSygo$Nr@5zcp*iN|%xZm$vRH!k~)({-i>UdqC%E*0z
zUAOu%5F%-Gq9wX2m#B-Jg^k+@w95>Ae?nu{;-3+@i*`Pk*v23xj(F|nN&!m1)Oa`0
zSDKSXT)gK3m4Rc^1&m?$kD~GA`b~*d-xja#Z^(4C>vuC)J4`L#6pTj0EMa0Nd*A8?
zEF3U3=_rMgosVFa!XuEXEXpS#Pxya5G1rO6Wu~lw#H;jurG>gV_4)0N-SRlXpOy6b
z$}M5?P9&5WZY!6_c}}HzooKT)AK7()=F3KR17x!38;ZW?VSRSb(HFm4W_r7?%XqpI
zE8~YP!$#-f_-%z9i`YHOl4&i?wnJdentbubK+mxbeQM>|yfTt^^@A_~YW;btOnD%c
zI>3VI10B)muQh|O{iI??!*qop>|$tVU@%VB?t{&8s}jdTmhJr3OTz0d?{JFzHY;QP
z!JbKrB{o#*my0H87C#d>%fTDp`bs>WHG6kv*6za&mC_4@(81w8@ssYV6A|Or=UwGy
zK_Ut@UMwBUQJ&%)pEiQTderwI(ypj`s_4PrGR~nqxJb?c*Ea0}4Kum<7GXLo^0Q10
zO9h;{)Z^=O!Wfw4ryTpXCrV_zFOpAXPMbAz)UGY{Ny(FT5tbf<otW!jO0CS-C^Vq{
zY>^bA3iHK?z&Ncn9a_}_ide*uUG<^7LqT&^$adyEaeLLzq^6-xa+tPVr7=4&c(^g&
zZLa>~fdG}|nQbqxhFfGF>eXr>f-$^HkSgq<ltRw0e4UC1?3OvQd}C3Ow5x7kG+#?W
z7N+q2(V;K~whO}4Yt=C|1W455^w72*fmUQ;#wT4AT00gTasiW54tkzsLQaK8`wOWW
z@dAzJMca|vY?VDG=tc(Oh+4YUn7>SD>)_1}@5@eBE&Co0;_d@aLCbfKPdw^TmpXP@
zX9FTs8oN8|UOgBuHwi*dO-T>(i~A{p*sz4-7um&D|5L|>eK_y9Y0#$7xxkU*Cf<*_
zz{z+n(+G*$9#e$T!q0eBbT?(6PzQs2R4Hcd<i!fYv$LQ8v2VrJy6nk!!m!5Be_}XF
zodY^x@32vLPc1wSdYJ7zHousRZ<z~LJw(lmLYo%in@d~Be(GeQ5fLRND>QDsBMuwj
ze5u1A`EDCP<(KLmzc$UyoSGx36>{8v7icOAIxIeCeX(lwP5I1=VLgRory95}kd76B
zL+?czBdoS>PI~X~l4td^dDcm52LY47g>ZZWvzw)biHFbY9)O*Yot<z)Rn5~N-MrY7
zH=fivyfTk}-T2M?pq~SFGR1ZIUcry@iM$=2kOMcHrL0)_Ecxid&RZZ_GRszek9!q%
z*ysLTxan`-r9`vEdndV8YFdiYv*YaxZC|I>JrGrqCD&kCF)G=Gp3Pd#5`6@vu^x?-
zWJO6VLdbKgPj+tDG_`7(^6+)6U44oX)YAIXrLPXxSf@_fFFHFW_=@848~wNjoxmTT
z2(o3}O+B+MV_>xYOR`r43SIrG4yV4Czi3nGr4$wA$<x--cc~2F>D5I2T6Q-`UMO&W
z?r0*UcV%Q$p?4FcAUYuQ$dV1EdgN>#iDTm2_!lO)%EQpSEI7dk+eXUXQQlR*9!Erd
z56*RpbwsO?E}X|A??P41trigxG4}JtZU9%@m{-bb2vJ9hq<~Qi+rG__PA}vswJDa7
zyLG%_hS(W}G<DFNVQwPKnwG6fyVX;2sT+d6H;uOo6dqeoHt7{N?&u&}1RDPq*nim0
z8erx&Mn>W2F<1k)TEq7;wcfuvZR#Hb-i7!(OO(b211w_(2$vpL9Bm}0dGmG%=l|nT
zPOoRhIJzAK@7qna$9wS|xHxwan`EjFZfacSVU5goeqKfU{*oSE$H6`rHo%wbv>py6
zR!wjy$;pMmvDSH^&7x@bU@)N-E?lkS&}Yyq7DY)NE~W5f8G@(Nzz%}RMFE%Wyx8&P
z1o2%a8eGyBwh#thlcv;Xt{8CxV3y>vo(Rp?<Zm&@Jw9SJ^yXMcS$mGYbhyXSr_z7g
zA-^#go7xG(R!zRXzl?~&!fSt>rON7X-5Qi2vVfe4P&UB-^Xe0Pbp?f>Lwf>O;Y0Nt
zzQtst#*9QJ<rD{B^;JKm!#AKOHrK`8Ow{;o6*XArXr8B%@d4dlwRC0nB&1suy-Pmr
z5D>^B-q`WngIywhxI-yCSLfCs-jlR_T>8weuFZ;#UD|#nq9<9XYtrk`>yxr(6DSr{
z1J^`oKr?^fQ<GUA?b2vX3GwVMY7%v$di#3y2iN3F>G*id8-wIgF5>L_W}8%J_dN@&
zTo!IBoxHcVyDk4DMTNvX+qfxrbzRh!m!Mi0$Z)p<M$QN|<IqXelEdZXx^+NV71AVp
zIgh9L^x~v)6brR0WT18CrLO_r7r`AtVkv5Rcc6*RHXW{2%qwl$q)bj5pPMuVZ||Qa
z52e7wNFyu+=-E9NPuXlX4Bl!|m#~^#VboC&E77ahz+~M@!_e-^1|9JZ*FD9Y$HqG#
z44{|p916>5G58$uic%0;@-Q8ra9Pht@5hMdVDQg1_JuR7zy_@L@bF(r6zAQr!HeY|
zT1h7i?jvgwqaDrFL^KYB^@kFAM=M{cvN*i1!u4V=l1Wo%{eVwxrC9ZA>6%l+md^G=
zk>sF4=a6mauD{1Z-`3jtr;nj0;LNpUgP(jr$zNy52;aR?66Dl%c&cmkKAJVL9cMgI
z?pZ)X`rw`7x@G2J$SuDt6S(?mT-<=MWm$G}orcc02J73_Vnqqsuc8<Jf=?xwy#Z#K
z!_u4Wof!MS$ykxq;y16S@{(61vazr#kLi4WUEt_jCHNiG5N_B+3+g?{v=}Z&P#CkO
zW~UBp_SZKZ{2B-PWaQcf<hYrhoRs-3LZ^X@PUkcC)lUZjaVYuZ<=Z}m6k*MKFESqQ
znI!gU&2=Q}$?RA$?r-Wp6aEYQ3{KZAGcxEowix@|r?dEN$cLNAyrUW-S#6#W#qLOI
z<s92Zm&%tLP?Rl<un{zo$dOwdn+Dao0(y!&0=49*Gt(x)06<Rk{Wiz<-mkO<9*{gL
zIrd`%Xf)Xjg5`iw<}SsePWl_UexgY^(bSa^Qk_{zRSpSFl^+u>EzNf)DxiI3Q)&z!
zc}NweG%(gofHkkNeK}d7uni$Cy_F-11r6e2@&Pv)K1U{zJR3R7p)%n-C9&}~5wT%v
z^UySJf0vK1X!Ua8-MtmVOwKCl${n7&LMmC}R^Ky63AF-{vsIe^8E?djEKJ)6{u&}#
zFZl%BbK(L9y-28CkW`?ET~Ao5s~wMwvo&A5%(R!Pz^W|9Y9OrG`6CYv@}0Mc>y{kz
zpbX{TO8J5F`-4slKpmZT1*_apT)$?uw7~AW!4IRsg@1zmxvnotKzC%>Aqet{4#*;l
z_S=E%SEi9UP+x~Hy7!4kRx37Hsn;B6dKwqJrhIVRV?aFe_sI9T&gcqe69|8QF^|Wj
zZ2qG>H{OrI95BjPUe@&~ycOo=UaEz#5;5d{=~zG%<w=Reu_(arU7|F>`?)4mFW4=S
zBmOx@7faYb_LA#@mge%|azV+FM%OR<MZH;QYzewF3q_*`gI|M~63<S|TR1V-L+E5}
zbHz2Twl{xA#k3fZ#W>bW8Qbjscv_t4!SmL@{hze<XPdO2$wHbAI=&^bAsHIwzjnw&
zpc5o<iDhSh`S$49aiCR(pv}dolbC_9T^?iKVdi_e)ggX7+`^&qD2Il|*PKN^y$Td0
z*|kc=fi+0<fCkAOLaP6!<w`q*!E`jHCpNY+@Xj<{5b0L@d}7*twOby;WlTA7)=SKq
zhun-6$(ydpb&tTltT3@JR^pc#I@Sfv{&+#hd_YYOgx`f^h+_Q#HlBH)G~`IWINR=a
zWf#v(-aFW`YnU63rdN%ly_0PA47F=iO@DUQi8v`R)Xr^`SL07WUnetw3K6mTuJ>Nq
z5*Q@+iyt+g9xKE2(ihQgT$H*7ZAL=p8E6yiNt5v(svDTucbLbJH2CE8@+W)dC4F(x
zcPUsU4J>E{(uKR~$UFqvgEfku-Mh_e5e9}kDCW&3559I+<14&bbYc&zdkcde!S-tu
z*U=C8<psnFet5X!my5+UaNChJ)G=%Cy1VKcH_R+wJ*|+lNgHtCF8Y{O6~?pY3B6P0
zE}Jhy>6Y}2EHk<km6P~YV9p&KsON8+eZx6FJ8xNGd(Yr#^cS*we%3-*aIhdX>LUu&
zMh1Mk>P+ToUSB}ex7Dd_L)!wqsOW@_oz5WvfIi^hDm41*X98IYZ7c+{<6ZEQ&TJS>
zIlOx~Ps%gJD;NV0h>KP4zdWvzogk|h{I2eHy6D=Ycu8zht24H|q%d(eMQ<$MJ{+#L
zd9?dL>OuaKw70-G`jMcoQmDmYPPQCWwBLM|(&N5Yg2N-I8?ti2NA7yN>CN7*0c*A}
z4;*E(M+TGWQNkX6jV9wqj%p}+q?lS|g73-ivH@%f2VxNqYr&Y4o|ZEoih=e2Ulxpk
zC&VGnVW+#BFUfWXNHWR-da_K$6XaXmYd?+*;GSFKLO`N>Ix|wSi$$JZ-0-2xnalIp
z{9XwPrF`m9qdILSJ~tL_o}F!i_Rrum|9+roX~7I951XW{k$=esV1|Y;Z_PF2@b4QY
z;}k~)5<_Q~ia-urIg`pd<4tT@4jSt*TeTEw3RFUlIj><Obsj_aYhoVr$1LYNL_mPa
z*^G6Al^_6PKP%0vBVW-k_(##p@0gtH@t0&QU%fv=4K84kLS}WuC{-z*i9I{)g$l1}
z=4MCk=-0?RO>=1Sr!rzYJ3$wGo`au#$J+Uif`Q->#{SRY&HfH`ge3~2qTFhTm*rkE
zDt|ur-zTpB7X2N(6opKHXtpj*1m?yNS9SXzYLQsO9c)Q$J_Am4EfswqOW{+cH(0-F
z(LBZ6NXy8{`uhdjZevRzqi@m12)p*UQz3Yy|9nX?u!P}3Q>fenANa^!ZbzM3R~^-v
zh4w9)Y1gCy*acNdvZ}LUBpMHU1Kv<XWRK_tCX^KUR)v|zC%D*=hyqF0SNe(NRyTGE
ze$Jr*A6(;fcm%>S0rmN-QWD~8JS*(lwS53WZ*O4FcK1X%b{$P}_xPXr>ql_W<;WF_
z8KT8M<IL77oQCtY6+U*<YvP4R2s8mOzsv8uFo_!nc1AJEjIbJWnj(y_s&G{Is)_Q~
zM|7tJiBVx}yJ~!|73kpor~Llhxp3j`99jziy&&swsdg;CrQj0aE_e(78!F<QKU9>-
z2oo~pC7URSZ=LTo`JEzjzQQz9y58O^qaQ?W&=3@32o#x&Q`M!t9djWz8K<4nj8Q<N
z4+J*e5Wir&6DO5mf)DL~`)6+a1A0^*NMD_c39T&Dz1~?z=F|7znY{q-cR_sRy0wqZ
zwf013%1A2|Tf`>m&lNXOHB}u1>q|tO#(%#}@C5GES;2)M1Y<vX+N-O4+wbF_g6J-G
zYmw1kxvatG$5s5xV{dPZd8vX2#JDxy!q)quWP8I`j8-4^@`N$lVt*VRAUL}(7+9Ea
zx-Q=Cqy32e^&U;Ch;v!t=-Tm1lkpL5wmW*LtU}#er>^~uXD8ba_LfrcfddOa<}^_l
z)TPx$6JP2hRx@G~<fk!f-(CE!^53u1JOYm{)siSjgd6MazW0Z0iQlFviQlou?ADsK
zuKrqWc9M$jIW7SB*$9}QSDWdMahKmKh*NRC2tE>?gp&~dwpI#7wa^(Z@>AyB+J9&(
z6|B|zEhg7^B_A8yc3mgx$YNAntRwQDxMOXhXMjWCI?sQ%5SJbd<ypA}*U$TC*}vIj
zNf54#`pibhrv-9>*N?$^GcEL{k{-uHu|s7uH}|gWc6iU(;iL&80r&&F#BC=`CH(eH
z&6P-u)Pz_^w|a$(d9Hc(optD*au_wv3UF!c@!_t5g+(DSd1O0dSj~OsN)LV0zMb#b
zXLz?Ga;Zx1$cyDMj>w}OiQ%eVcsb;U?{oV*JQN)I5DZ7Xe~(25!*-$Vaqvp}NEyuK
zt+knc3#g<j_;z}9y#QuX@~8JYV4m-qDqsqEM5|w)e(At)+4yO>vGhAwrnuJ5xPs~@
z%hO*c<yPe0H5S8$*nc6g?1F(La}XzK+!b|NiQ^fRK;8F(VFUf;CJN}pmS^?rqQrkj
z$@?Na?)6((bp(PKIhSVX+SnoX^X!MBuE$Vx<Y6%@_079@4F_$<c8RrKbu~z3OXq{F
zSGCaFZ30PZx^o22HKdazN;IUYM5`=aEnn>sqhbPmt=(J%guD!5MCU;!flVRYjxtHf
zwzqetSZ7^?iiQ5TjFJXgQhQWrc<$N9_N5tZE<{Z?COle8YJqqfz%T83r=rKng6hBt
zF&W23_^p80@Lh20dBXo%2_NB)*9zr32Lc>I2c6|nFuGe;m3i#&>B;>kpS+{k^mL#H
znh~Ni!sDO+MeQ~O062fU+t=oBl^+cHsQt6LhKgV6`z<Twb(02q#byKz<yJbjGe8yQ
zw4Z;h4gG{4Z}TYu$A}S{$xHK<Ay|}P)-1ly-n5q<#jGx$o{<rmEw}jX&7}KgFi*4A
zw<@Z(Ar|Y2hNlg0Y|T^bK*cx{ve~AD^0PYi1q@lp;3;`192oy#DqU;$kYx*R9-`u|
z``u|$1!JExy<cx-T?oETC2WRmlq}W&>!(&U{?b*`1JnxahD~B0HM#E>IvtFI@KVS7
z%Y??DaFo}SX!mY{2h=mpAhf8BIY};Q`Z<C9k7pi7Tn6ko8S(642#Jkfqj>Vq!h0k^
z8mqCMsrT`JCubg8i|88UN3+C%7qE8dLBqTbYh&8HR%3B$9$!aot787y_lhuWBZp$q
z{G8Wzi@)x`+#F|P=*dG!y1Md>3@I#7klxpN!tF1%{^cT+nHCD}oyU;`Hc&htR{8eO
z^eyXDrnmdr81|B|S=!3c!uviG{fSSX8*IF6KuuHBT?<-C7;46y601J@HHVnFRHGYz
zUk~Opz<ZY^fOw@8nqUvYu*${&k!gItV$k->yU;Nln562p(Bo3L-`+IxKTFI6OPtJ2
zzQwSJsdS}%^0-V-bl>V-AJ6>9IxR$zS=v;L;{Xm4EfL@{7p*DvtsKF+vkM8CPQVOw
z30Eb&!VYRaJ<(0^I&sl1Hx5w${&jL!A?E%)G&skso)4`QADgq!i`(K~I3Ut%yM|49
z+1FbYbEAwfU}M&M-)?1AJEN;%Awgm8q?-8SNOo5E2OYe2m<`NxrJek><JvkD0t*G(
zT#KQ!)aieN&KQKt5o%Wr7MkZ`bTeTw`k}`F`B1DVtmXf4av5ks<0>_>dwC#m=u_yX
z7t~z8IET*g4!#2tPm;`*#`E#G(ILT?ZR;Nlp4JkpO7~St-a~`R&_l@yDgx$I6;!gP
zX1EBkgC~<lp(2dX#~cF&<4_3uycA7flLT95D=Fdk_TJQc?*<Q)tqX!@_fPMp1y$_W
zcGK(rY?Vi$mMsUL2AEIw{^Hke_6SAB`0|SE03=)(NOCZh+*El#3GpO_-!>gu{f6^j
zrvdI5s!{xFnN&KEh(kme4dbDGCUCHZIV2y-O5A}TN{T7Bite0^bgsKpQ>bgF+1OPN
z?Mp7u`d?&I4^^1idJoY1`Joe#4*J>sMY?<iD@huq(5w&!6Rz8IjHMQsz#I%5WNb%P
zwI)vZ%=?~Sg3oX!zFD>|S|?zwTyGB=qHp(-%_`<uLDEhvsu{di!`0X3vtH;^-*gCU
zh5E^T7{nS2R6-Z?`7*_ec2GCX1T_`T*S~W=Axw7oZ&3gD?EmZUpPPz{I-k7dsWNQS
z2Y*wvOdLr{T}USQkw_NAxhg@t1Eg*4?Yue7b$-_cRmeK2s!K2bEBQ#}Ls0ZoHU?Ra
zwQ{Xpbzvn;C35I?uvAE{g0WU__ETZrkz9`l<gYqvK%87lK^}=o3#izpo0iAkTE7B&
zRkqoa@UQH|LT3T)*Jltb%wLq-J-+&fI4rcjvsQ%Tc?yNlbhG^X`dw!|N+x`LgT7-9
zRnN8Iinc55(02Bjr<?YPxYOiAD6Unh=h3PPc04+N!P18iPh1qt`6-N1kGYX+J=F1g
zSSXmS@_7>lXS(KQSd`=DkPnw>PdgL=q>;o(N@K4s8KkXz)ZIJinkO3D!x;XJFrfb9
zceW4SgkX%6D2NY;xG@F@oMGzOr)1UGh&6DKeFE)_B@nAcL(Inciu^aPYj@qVE$9)L
z1HI1}(9Jm%@dR%peF{EJ7W|{JdgZTt;)e6*^ydc0of&+0=<l89vf`erf3t2jA9%}(
zxqIY35tNx&9ckbGHOkPG@ZO<5#w?M;2&QmxN+F8%Sa9&Ewp>Ja-?_NvxBxKNpRdk>
zEH3Y5hmn@(fWqeiF*uB+FMXC=K0mLwD<CMtMCoD@9D4>|f8pBB)c7v(V^wnS3F*-<
z^&NCm>tzQ%y>}afng*7vbjLkHs3#k&YVW?<o^6Z;A(WeCdIPv5X}B(yE9EU7^w191
zEqw0F0?V)FDyr6%Yngj{brMLBcqmX+AWcrBFcY=wOP9`)@V&Bu#_fuq)!scMS;m;z
zI}0=7p={ctW~CG}j2TZB)|^@|`9YcUJ~HO`CfPDGQX}1FKH729w8ZBPB=}D=Wbpck
z|3TF(*{zUa64G{h==4{sTKDTZM=eX?@%+Za`lc&!jWxs(<yMq9J&|;6P^TF0V^pHD
zimipTt#(Q8FHHB*8eps()BW^{1bXRXK`*uwa=}8E_Jeh*|G;5dX*h)U=sFzV5Vse4
zA9X}+Z;TgG>K}&L8Ts6Ty5HlC*%0~KuIgU$K+tx2t)Bbf-aZL2F#~AD-=wByhoJ`l
z>$Bwm+?DN=v!m3<=A@%Rji8v3I|vB@w;qV67U~N+s}#AK3llXzolfSeGJ{O(3-#<@
zog{+YUnf}v1xFGL%K%s?*h;Mb>f4MuXKP*Xv4QXO>yqp1b+~LSBkt+3#i{+7vnAJS
zPJTYRrI)X|s4%fv3GH@3`Tt&qOmI2XABD${w}u-aC_}i<rAhi7SbV#F9&&zFhj%Te
zlWh*hlAsKWwdAKMaW{tecsmCvpDbS{<I%e!BiN0`vD33gW7zbV!J5eDE2Y^-IHr_M
z2o&p7<u`!*_0s|kRv?wizjTh=JS&~i5ZJ+?ZVwRfNybdO*1iB~O?{AYmlar-ZgbLb
zeahFP9XHm;$lv=xlmj3MVNtOA&Wd(Hy06s`&Za{XpjN@?ii5@z-fg@$hUDiV?i39K
zk?$_OE5<VT!u<t1e`Ko2RIF$8-Z#eL&1#mx>btDS9Yex<+Vsl#9!g`M)LCQhYa3$E
zL9?jtLv4jGua5tsW4m!}C&S4l!gCCT4DN`jS{O=5hei!!zx5uVI|kROH${~B1b$j-
z#zf0n6-K#7W=tZ*ZUHpGh^88RE%WS&WD1>a5C2vdxw6<ZAaK5xoam|!4UK_wwRkS(
z#$w*>+0ppXU^Y>&iMyKGHS-aC2~W*ro}W=y0A+azuhM<-%aSAuL7;a7({!eTtGy3B
zIg}#ii<$eYwU>VB-<3U2eJ}WY0uS&`ro$)cE__&cYQTik%NGcl3JRY)>m04`4_D~T
zNKqa9PnNC^5wZT0KSTnUE!W$-_^6^{{a86JxfU7e<!OG8HyQuP{`SLpsBg>xyF_w(
zz0j$)<yyNAqG)vL&2YnJ+zq411mC%6S>&y%EHq~qo&EC5LJpZ!_KE2Z0q#rjlUGm-
z6>KRiOjOFdH3Jv6&g@N;<5dh1KdJL{-2#l|3n2%GF)11?fYj?mwtu(_IQ)jVoK-U_
zyv?fEqF;LCd|SP}zoBFJ+XQul&wQR^&qDbl%-WNS1sT%|r~$pn_*<bc3cPch_83h{
zrRB}(boY6VHQNX^LN04arref8I_)HbIODy_lFo=Y@DOilA)C5Fhhv*B{s431c4|qO
zSnMiSU2FOG&2}7i?zF<haFYLWPn&G;<MDqbO5W0k^?5hE9=PN3YH{*M<9=_XW9Gxb
zuRm5_o#pkg4n1IMgsdMgst{mv-VB3w7MkAr&N|Dn7aE8nm0+!<O|5a7orzjMLFcuk
z++J`Z^rk&Y5v;nr$WVK?$Gzt!{{gUf5_S7Huc5!g^!^wFwPzz@F&}P;p9r}^yrE0*
zh@Vjguw}ZSEN=pe5D{TvG%#GQ9McZm2m_SApEkL>1Ox|HVcPTSQ+u4#Xubd>;H0q5
zMT^~kJ4`u6lt~#ci3ta<t8Uyu`<2TKg89a)#im>kUF`x8b`A`EG#S^+_K8L}X%8L>
z(tA%^M?8Tfp#Vttn8EZ}+2jJ|i+iw$T`w{QvN4zN+6|6MRTz)TyBE1R`T$31Onme>
zg+gZaTUj``1Vm9HjEn37y$v*?-6&xI|8uk#DQDeKjhfKYzy_mFO!@U0|L17|p4to|
z=)+vP+<tgHrJMx&k+54!`+NsL_Q6H8HHC>E{*Ko>cfn|K23Uz2%rd1Kx&6)*k$Uuu
zRkTZ38Y(g9ADfL@-9u*!#%kiJKEIm%wx}1gy?RZzlHA42;o4Ln-k8=F@EixJo|Zc{
zPaGI#{nXwFJ<OO)H3^&x#|QVdqi|Gxbs-tDkw`RH4o}MjRn>|U*^Z&@MfX`wlTIzw
z2M+nZo@enGmg*FYjEq3n0llcl-8Z{8Kr|M6bDiQU2D-+?E+KU_lZU2c!d=ewItRc=
zy8(jzr8>s3jsq@jy<(>gM<8K>XfX0>egM2SbfQHj=#a~8j`-<n)@$IlgSMX8n1YQ8
zIj)K+!U9VyK!%9{Q7VxoE^7i@G$%+af}$-P^VQ{cC=VYV2AO=@$&eZ9|D<zgzn5_P
z<H!g542ULW(IXtucsT{X%@<UbnK+wHWo`pd5&E+gZ{O1>jGNq9L0?qN%ZnGkS~qUT
zT%+KBqLd=M)OUntmjI)|&EoGx%oa#FaU{cy_%&!)G4^Zr#yR&2cw~lV5_Vn|#gS?X
z+jZ5|-l^2_6{4XQe)Fqw7^#d|u1Ug6>n$#b4RSGzAm<$&e4Ecz<gF-y@QbflC5M0f
z#bw~KllA?r4<UVk*UqGz>KN^q$c_{8tneqn;@6QXW>!k;pp|kft9LNKMtd_9_Jsvv
zfJi_Xc8k@-wteEE`rHYD6uPzrB%;WCyxZt#M;sIK)d<iSR^p~PbbB?IRMK?NX+XGh
zCyWh@T-~3&r=M}-F3qxg{-OD63T(Ts+sWhVh@#rrps8}Jj<#KBlSiD&ZKEa)G)nYW
z`Do1f*))rj9A#y5bj<eo(9y1Up0`rkuRJ2bEQuTqELZ3T)Zd~;H4xyU`5J%HDSA~f
z88HN$AFI6D{fQ-D&+E9vX-&GhR}?)v-__|lN*q4wV6_A7;nJiSU>8EvpWbsB44oxC
zhWe5M=*eV4CAWj`tT>8$_Y?l)lH{9%2l^YaqFpw7>n}=t_MsaL&BUX(?s5A+jNAX$
z-j%;YxwrA`M}(7*gi*+HkT$6><j9h#sFar(iWD)HiR>gNWy!9PsSI7Vk-^ju>YO6P
zIVNUoLzXE!iG~s0`;l{XUGJapUd@j)bA6v@zR!2=<#T`T`x9Y-_VNzJt2-{c=US<q
z*>_jeM@wBkjkRA`U!<l&dKPx8*foD1Ls|KBVpB`iog8hW2YPsH5oQ)7R#8$KrxRiP
zyPJ}{wiHm1G!VItz{yJH5i#2W8<n;?JR#>Z3}h{?vzwcKJggIHI9UF-p;hf|&M*8(
zn6$-AZ18j>nuq4pxQ#y6Cmt`-QpdgSdBve7##Tp<v`k-hhDlk8JbZ$00naFoD2|O9
zvHG;FKa|7r1whA^wu6-W^3|^~$0HTP7K|%)MAs7B&q7;GUchvpLS;K-GWg}A1~k}T
zn&5O4VvF)s8+^0T4<m{Po}VnpG+QRy<t4sg=*~7*3H<p_M-k!vl^VYgXm(Kt7zJ_B
zz%{L&K>TQkaPRe@_{SoWn-mQlfEk%y*p+67Rfhy%t`h^@D<6(ZfXgy|J$$lNaz-Z6
z%C6dSTkj0z)RS_WbW?DD<%PaHl^qbQ3C9E%T-nqJ^9vdB*TWgA4Wv!r9Bt97s}8G0
zN$DZ&QhT7~<}whCuHfg5aSzh-RudWO=eT<fba;J(+7~cEaGBAxp<rjF51JLOu}$ip
z3bH%f7T-xzp4a}a9>`57boOZ>Z06z5R@v<{XnOx}0QtqjVC-30Q@8on06f96BYbrU
zhZIidaq+!c2tAP)#w~F0c_TGtjSU|g%d#&-C|!eLPwiHXOT?EBcy_ms2YmBXMlHQ}
z#{HoF%}6B{?F%+9q>ebXGmp^9n`5voB($hXbKJ|z5KAcV;=&g5E>}i_f>pEa2?Hr<
z<MY!C?x>FLPkq=!mF`d}G*o;$*-?~%kO=x}-3`3$Nao!{HVPHYcDWb>e{-c9?5C{~
zGt!BE4O{$K1}i3%Pj5Zj8;{}1YR|C0y0xbx05#f@Cjjk_4+uKh2OZV>@O=(ceE-xG
zg-O(@nM*!XevsV?h>-;}KH7Lu4aa#+z&d}a()q`X*B7PqRmc{O;c@E(_CX#z4=t=G
zgLFLJBc5wdF|QB}Ewf119KUq)C;;fYH=D~QvT*c=Fq-{X(S;~&%FxXW7=4C11cKT{
zhod)2ZPw~v=)u>W4~R?QoNCse>MYy2sOpjQ5cJP>U9pUAz%XycwQB*5w0+o54W8kn
zc6KLKge3Y_Al5GJ?Bp$32tyXzy6F{{x>s!<PRd|}Ak5R{t>vXuM`1QLHBPV8*Vo${
z)6C+xF<3642X)vsU*Letl-L!Q!n8JoU|V9jWy%8>2M-`6JtnP#z3K^=;k_fvbML2E
zSGX2vjHFEb-XCFRQ$+7<pSUvhv{o*LS>SLI8(vtu4pP_hL$<`>WJ{#Z4;*$Bw#^7x
z`Iv<t1{ftE;6#OJ&)n$y6vOeXQ@Lih$qx(CH0EAaL(;1}8NSHQV9zsg89-WTBw3^s
zPlEn&;_Ekg_@-?<`nS{d?jtNkeiw{05j`8>P&k%Gf66K{d(cMlimKL2_f@&LUf7yZ
zaoU#1>VI}vZG8Ixu%FJoSLzL=6N5N<>^-yGKp5-6IGqG^D%JhWF)7d~!f?08>G2Oc
zsricjfQsc4%UziiFQOG;WzdZ2<5-?dA0@X(kHyy>M`|Ld`)GSU%2JU(kdlmgjpi}l
zEtxqYnw4HG`<&3P=MiwNx1~7m5lol!XiV4o51s1tLTSyR-GjP-b>3x}bl#~52iho~
zO$i&kDEhqKPF2A8BOalHVBHyvaFc!W^K)evC@@PlfLToBqWTd&BByG51tTOOA>r#~
z$vE-<xoI??FZo58Z%3{@qh&&8LQL;$YES9${_V7<rjOqP`PwEjPS7Rb6Fiw~m{|be
zS&p*{1q1qqhFC!2$IA@PDFQV&dHA3zfOC>6-6X4*p_~JbII+QuF-Okh)RHd7NKAwH
zWOBdJI7+6KxZnN6+E$bcOo%ptc3v_dHl!*SM?-t7S3qsh=%{t_1Sf8lJhWbDO3~)o
z#Xo#Rz|vBV$r`fK*3A-mHd1Zp`gc8Tv<h2`BoQw85rXVp#1I?8tAuxjxko%0zqJK6
zsN=vPr-9mqD*NNZFjbULT1u1v5+H225Wp44mPoARl;wF?wJ;u#oIY!W>0DZ+s_elJ
zehKS&iV*y~Gtrj>*?<||(cW9~C5fdIx)qsffwXOK@)N%)qi)?yi{iq1OA*d~^#a)t
zTw@zm82e(!N)*aJDnEHqB_h+>tcdeZ-MMrizxRzBasYng-?LL~+%g!falsKJKLzy^
zi%Nrga<GT(!{;Kw21VZNBzp0<2@J<(JQ5!}<3-16?0aELImWiEqLwu0H&SqY*4%e;
z$Z8G(CbFp@m!J+2(OHd5K$p%b1W%Nm?unvBt{E9Ab1*jMG0UUU-WSmRxH!g9vQJkE
zFd(xH{7k~+mLswaecsk&5fQ7_x$&k3%ENOA;z?!^Vn0<BL+6s1p|853IV@edK^M~a
zEVVXOM_!EB+bNMdT4#DHubb<3(LUO7RKt+kk+Zr)p;PhJL(u@ZN;8t_ecoe?5=}sJ
zKT|a?_kgd;9YzbnDdAJjB%MHQ=k?{1<M2oT+4}1*uDcmUy+8`w=hb_T3Mhpm0npQu
zz_&0g>A1;1b<>iYH=D|A67GnN*sgItVcZ&WJL_mqW4I@w=%gqlFT)C$$j8l-o}3`2
z7nRo9BlMMdCCFuv0ltCLH5?bf1QnJu_qg8aCA_y*=((|I+}wQSK5e*ENHJvh8KdNB
zV9LWrrMVA8qs{pp>Qe26VvM%V9DX^yp^ne^o4mKckceXyf%X&(Ug9^_q~Qo4GCIAW
zWu$Ns5k|MKcI4^0SiR!73bK1ub(wR1;M8QOSG$tu^mpR7?RQTd%O<09l8(+g@`r5n
z7Sd;}R(yyZKsg1;^vtg+4S4I%K`Qv?Nz^?n>s#*5iJRmO#Av>=uL6OTYg%N&?dQCu
zqH+g*v-k#rL0f99ikIfJ5wJA*>u45G?SKT9l}wdC=#6$~lC^G$D^fLZE(E2d%_^2i
z%9N5&imwod%<M~Ny%7HmC5TM^*wNr!{1W<W<GE)+%qQ1>E!C%MKt`D@Ym11g50DBr
z0?18Oc)kQ9rBbx_YinaxR-m^Y5;^MVpD6hK&+?s=_xsj>6~+x07LhlXWQ2^DJX^!4
zSk_qw(%>t*@R|7>h!xX7OF+LPfZ&r1z>WntFq_GXe7v&o2;EHYPOldq(Wn|=<liW(
z9tTug&>F7;M9pPS(1&T50(qqRjjtQ^#vF%%Yu5zvuPaPlWRO9e<M!RVG6u)&aY39w
zI>~}w6C9v_edZyvlnFy%4MF9}LwMq3>Bmo%d{^VlA-Fab)0A1msy}RrtPmW2CtB}L
z>ezK>i~3-S2b5aq5I~+@x+N-m!TK-r%AIfifHdp2hqm9Hk^&<Hr$V|eZi&fLxD}wB
z1|yZP6;`(w)CKxj<s1nl0jz67ak22wzgp9S3}jw%Z}sQ@2IhNtcFn9n<R2#tas4~7
z`l%v1R2aJ}{le!K3OY3A5}rO|f)0!6lP8ma7Wa60kSW><ba4NrOSWDF1A<zfRR)Hp
z&mvy4n1JpELO4<9k|+EehC(>`JH_fXZzM0p@l|JN7Zgl0?684vmfN`J^N-86v2#nS
zrw-knR5u!l3bhyXf-FU$8cA|t%Jikordk9Fty%(Ga{lhcJkC*QZ3x9Qn@{U5V%Pbe
zA1%KFs}c}}v0gm~*;yN){mBLSe@;F0cL0Eh6rUlp+X)HjNYw@mx#^PIEC@)X&Tr@k
z&{7#!8^Yko?YoQuw%XpsL!J`eB!DoI{xW&8hA`~-9p#Glx7?ku1xMzKJP8zoqmP<&
z*RCkB5DxK{>eersk>~~Z;4io05%o1D>eh|Vt#Y~y(sqcBj_l#3Lh|gH`{^~<vNia7
z11|=!m%~1%N7kV;_#guMJY0H4^mW%UB6#Otko;dT>KBw#7Tno^Ak6oY9<tU4Xh5P!
z9*Z{ojuj&7cdDY%)c71pr1$pw6%PXYe&Y41M<;&Vz|ULyxl2FK($9a~PrLNfRQ_}*
d|F>>;CVT^tbYs*-hkpaSEPltBl1-d${1=ICR?z?e
literal 61135
zcmeFYWmg?x(<KZ9f(4fl+}+*X-CaX)ceez0cXxO9K!5-Ng1ZHG3vSbg+;h(}>-_`o
zhhd$yfYaTV)>XCluIeyFc?kqKY&bA5Fa#+{QDrbN@Ix@LcYZMMfp1W>GPc0L;D#(j
zL=>e&L<kif?MyAKO~Ak;!;(^<RTCCb{m))YIJ5~Nl!fiSIzvdp@}UcHFTh9<<^`rA
ztBQ)5I6%#R4TmYEX{XHJ&<4|jCk(eiq4f{9jTIC0p~tMvz4SGN?KsQ2UGqp_+4D{N
zm6hf-k>x}Vrg&~0M~R>gL8zBXg?M|LKQuTn?eGi+-53B-``&*nE;QB1=sQ?k+VvUp
z98~V`b@tAeO260Vo^a+AicK)EAfn8lN%m7H{1N+B(UO_4V23cDIW*I#(zlObD#GI+
zP)@V9w=M9~wtrBG7nFDt_jjSFLxU-pHVh1d#Uh~a@I@p<{vdiJw5HpJ3xpwA58w%z
z*d>nKhPs-XW+B%KuC@4M@Q3u3&NQEwJR^&C@1Q{zc1?m1rKnEhHD~^!hm22-JE0#-
ziP-=bIl7W{d)!l*<?A-BtS%OJKg4O`EBaLtxDv~+IQO9m#*`B@()EmHM)%+ZNMBly
zOj-5q4_Bn!C@i$&Fe!V|s9r2)sdU+6G;&e#%lEv=yuR!L%%;H&kdyFcn(^2utVdgP
zEfGbVmk%Doel?4ozLyOpGB1w$;4<AD2?U=A1$exgeY0b^a8yufYNAH3F0!t};vXZJ
zySCdzEsPxf^wWD*=!e5&&&EXYw~yBt@9~Oj-}Ref-GLb(M|$rQeprC;GJJ;>ity!9
zU9MYcBa29z4wLkX<v_M@)ZIBb)|f5E*2-q<L+_Ufd4VuDK9w$*$@7Nh56ocE6Da0s
zO?7_IxkjrwCx1)EU@nxXp*Q|eM5|`9*<@H#_=Ah)!l(wk{|)}W7hRM1nhQc>BTN++
zMp%e6^xY^J^tli>^0y>HXlt<hT;yXgFF`6!7{qVJ8>E~Fhu@)of2a=7$$iHQ78CH{
zgMW%4WMqH?%vXD4sC;4USo$xJT7u2U?;JzC^9(6*!@r^CevyQc%EL8BQ-#40D*8=S
z3it4d8;MPXBUgT(Xa*WV#4c}w5stjSyq4Yi!$im@Ml{5)B%4L{%$*S9!B-nL_OQC(
zIsQi*rgxZ6V9DPZHkHr?;}lsF@kdYx1U(9bl`cw26S0~Q)%>Z&)p9Krqe|Il_!2){
z!(GEhiK$FFH<B%3;Q2=jJN>5lee_#rvS{CUpWB({0lyuI@9Rr&o?#;+Cf3If@MsZI
zgOxwFjl-FeQk_yOQlV49e_>%p6dB3Y$}fOf<FZ3_yzjv1Akc}h>2v-3SXaP_EC0?c
zz^Omz&qAxLF260oDdZ{hDZMS&Es8?l(I1-&-#hnC<Q^1*NP*~{z@7+#A2Dc&FyfFO
zg((AMH02iLIfczhSBO3!4~C71qUGZ-#it6d2+|VGA=jXKg`G)~#`6!SHHMNB?!-$=
zmPpP^`4lRA!Kmk2%;*fHC9@+TAmfN5h+kKtL^lqnAj^)IS`;tK*UjTC@>b2I)}*RM
zZ-qO;7(qWoKc((eC#A%uV#Y|JGNr+!$yVwtxRVac{ZhGI^+R2|M77vizf8wMHLcvb
z0Jl7|x>N1G^%7x+2qQDRF1!X#gG^zkb_65Impa^1@VeNsG^13aRHN)&xuzPLTC!!h
zW!|CGtm`Za8wQ(KlX;VxrHSRo*)Oc<W2uArMU&0b^3(0+IeX?4M&p}fi_9ga<EvZ*
zGkfJ;<ySNCGgh+%rG9g{R(F<#md7)t^X~a!bFA~ag>A}L{<~^p8cu3^?c+PY=u*8r
zPf6%BM|Ej*t)k|Ps+P42mbjN*mWWS$mNXg-4t_iHx+pul9_dbfnkzbNKZ0|1JJO%?
z5z;7NIk5PP>Ph1xsvyH4s8H@ES)*sCyDlmq?N{Ji^@8>;AH1J%*sw(?;(KUbwNa>1
zv{BP03CUNK{!qKd`O>ldZ*^e~kr$?0o?Ap{E@;V8%~DNLHB<vL{mwxaK?go8m7n@)
zXRUj*Lb$9?4aYecSbB`XbvU(QXm50!$NPUdWm9BoFx4!_TMsw>s;_K5Zphby(y?hQ
zZ}H??xA%Q|%DP(K^=ojgm2cqx{JbDOK>pjbK(1g+N5@Gg+9vJ9hbKHMXVnw1J&qg9
z8{WrvH++byA;=+Ph;)bscv-ju(QMKE^1<@3@;maYAJoLLjA^#oSq2wJJ-V)-_7v!&
z>C@;-^j_?noaJ2jPPrR<zku6)kAr%)eXzA|5wT@<Yxny47<0;u#D~-@5j4c2@J^xH
ztZ0vLIx?+~_q+Fr$qCsF_ulpQ<pHlMw*;h-q4kp9l2wfXj**s`+p?T)gL;Fe_0XPg
zuh_4}V6uXWz2pA2$?OsR<)5P<xuL2NtPzNz#UPX3^TD$tVM22R_YwsVbqITY#HK^1
zuS9~%tNg8(r_d+crylrR57R+ut+bfGx5>WAwP}Mg6S{*kL^4R+Mcg96AI%&UFWw|d
zBhC<39sYv6g{Fc|5|KsF!G5EjX_`q`O@#lE0MFo)K>LE*MfSiu8QkP;h68QOdgs|G
zoKe=4BD#)NT?a0&`!q;dVcEWmK!#&QS12#mxFpSN&c2J?<DJfJPe(VW5D(i<;x)r~
z9c85{#d@8~>TRQL=$_P9=?ywcj7}+7Nv_mOA~x1*^FvW>S#29`em<h-PDQa)YU{Dz
z!<tExRQ1R^5npI@)sMB9h!IgWqzQ+Wr9_IUnQ>Q>)1`Y7ZcN(Dl1zMbKXqOHqTW&K
zQ)|)4s9CG`WL#!=EMePc%VeYD^5nvCe3)aN$Jd6glF^;7Uo-SsdkD~dT`|T9#Zl&X
zYM=Bpo*cZ*_{`3>Yq7Vpd+oRPs^`)z+|AkJ)o`@?ZM~r9qxX9EfbD2E-8x(=6bF12
zd<1-t^^SGd{kJhBG67j@nWeezRfop_yal{IJUt#hS9}^}`VsoWb&UE7TMi$$@29t3
z$!Bd!)&}183=TEUHI<~Tg+@7>-FT1PiI*}2i5^L_$yP~rRIjx;9j~Y06Ytodn~*T^
zpPmXfhO$LoLJp}TX~L0=k<9RXeMuiAmlYy&%Bk6C;AwjBG4PY{;05NicU09}bdT<C
zEL*j;`Mf_5heapwQ{Y(AS|QF(S;8v>s7$Fa_{!h49XbC#NM?y-VKa*wPtGaGrYZe)
zs6HPxb9H2b;DC^|_imzvwVgftao{ke;NxHVL_O7x)@RfU<+Y-)(Zv*r3{kn7^n{E@
zo#YnYZd9)w-=qAwn+hR~8iT72*P^IJ*ZcP6Yj_S_+svNfRxQ8L3-wi-kmWsJm%D4-
z4r8xXyb>M+ym7p!EO>5))$7(}?}@#&rpL<17JORo--{Ttv(sILI&=LepFC4<&c_NW
zCAMOmyqLP66cV%11!g_9FESSGnwTXP2l#WkmnVp``A+x#_B`obKBfe8?j`OGd~5%v
zCekeOG59%{N1xW0>0J4*<CEHpK;o;?%hKQLMFHN|Rz6f7=5z5U(?2J3ZrEqh-7S9W
z%-HM?&a^((Pa@wXqGE>lnfRN0qVIV*yD#BSWrj5xYNFP^c3;aED#(T|e7>2X^cO~#
zmxkClQ39iM08``vBc#vHE-Qgde<5HL+Yq?;yTV5n4W_ySfgENoi3aw_7Z-=ABo^2o
z%Ql79>+0(GtU@Z~+B{t+dHvH|nV0DTF^#~%6wLc1I~A)YC-qJ{4E+(tzqsx|%U3y3
z9_;s|wapgBq7xtY$ES!VG>KjGZ`lyFya2|{vQX7@)|8XwHny{&H~M1t*@WKR#vXvY
zU|_uN+`ykUCeB8L?l#u8PTcN%#BX<S1Al|QW*{bfyT#dxk62Sqkx<0W(S(qVo|T@F
zm>-UikdW8$iz&CVsQ7;#2ma$DHg|Tm=VoAVb91A2W1+WmG-F`m;^JapWM*JyrUUMv
zbMmltHgc!4bt3uK$p3Cf)Wpfy(Zb%@!p@cu)UMHII~Qj@Vq#E7|NZ$lP7`;F|I?GL
z(|@J~OppO|g@K8lk>S5>1CR28zU5Z5a5u5m6t%E1v2_Ca;AiDx<bAvU|8wR4^!PuX
z)cQY9a&oc#&nN%KmH#}+%K)0d|CrFf)q49DST24zUWWfJJwF^5xPluPm>`&xsF12V
z_;D7rx2oFGD*<6)ydWGbU*K=AGc{2vWehI^3?+?KJ-1t*)zzNvv+kpgv-W|eYP?Zm
z>d#_IqUnFhyT~9>g<-)V4q^jepYb{!MzXvphGiWou6TS0)4ayp_Oc(lM0}mbJ+k*$
zTMNmIh`~__-#)cu0m0437(8MSq=IjsTo}dDd$E5P3BhsDaut{FHfyc^b5$^J*UcYN
z^6g_S>o07x71CcF2L>Ap`UIt~|F>BtaJZ%@0>lpS|Fny4=?neuG0EORNXi*@U(RFf
ze~-Ze9pe4J4neE>|CaRsPevnby~5!d1=^Rd*}V-Bw^F{tP&J&amJ5o+!Xl*1m2r(>
zF^SQ1p9@t+&1=T5o2QCoQoe|2S641&kt~{pZ!au<=E~Nf{TUN&PCL1|L_;j9Js>W5
zc2hUSK&G#ZmLb_6jL_K?sM7UrXks)+V2!M!etdY_w`zO%=#euCx*t4<8!ManEDlnV
zkPsF<DRCHwX3A>j_SEL{_6<`RbDo=wg{oYgD0DbO;&48K*5zh9iQ}DWo>2~*%;-*F
zVrhNVC$pW1s-YP(7?8Lid6jD4e-+6*@zEeLB^fssX$~*>QYOVJlkWT!Izq`SAX6d_
zal2%wI{^%K#tOnHFKYW>`Em4PM$E_vAJ=UAJfFnGsNa)UMrSvz+?ua>t7xFw^Mvoi
zu(!wY$yj`x%Jy7H@e(CB5x1=4r3`6L>#r)@Pe141KkAc3{t}ozz0FyY?Mo9jGeShV
zu1Be<M(0c_fB6Bix3-`Haz-%b5Ln;}`?Jcy#pFL*U$v=CFa!|k{5mT-hKfgyH;1P<
z3j-4MD`U}?&{>P~1*XKi1aOC)+Hb#6T<-K>p2iBSPpwm}9~xfF6<i9yyGdOPIF^))
zC~s|_Uf`M74?$Y|-neYMv9<Ah2)p%*ZA^fYcUd-{-nfvfl$iF4$xbL~v^dR58~2&V
zfrqy!^!rfm2Ir#4XS+rV8!JeN8X9d)OP3xzsw5YPHyvs_R#Zg()zcF1Bh|acZ)NY6
z%nPPy@BPlsen-qa#uG%3-mMKK-SJ?!bKW_tB=cSbIN_x7z0R_&Ztp5lB|%i>tQFX(
zc(|M@rd`fBQnjBa)ZR+l7Hcqh3urhCWxrbHco)i5bv$7@lpCzN*p`SxoD*{Hp+KAq
z)r|s<_`3|)^!F0IIWrN~f#b!w1~7S?1$DG-OxxehML7<mEF%lPcacvM5<FSqgj26B
zA_Q$F&d?ljb2NkELBlTn@z)~PYaKqB({;Xzd1aS<*C8ekuT`-~^BEDW<M$35)j9aA
zXXuBy9y6UvsDuH6WMD^@^JRPERrzF<b@!_0jY2jnwx85z)L~Wjd)&PubZ4qseR($#
z$0!jBTq;;4Gces`yOsyI@yjQm((4wgCVXn1u@>kGI&n@ftc75mZL_vkzh*UH1%
z?rjW7F_O#sKyRt+@d0)Ri5|eWxVQ4KT$0s*)vorNd1*kR&7`EGlAr_lCtJHwWqg|l
z$Fa!{pX}CPcDS@%M?a)6N4Kw!?cyZ=xzt`Rs_ALvX=>!yDC^J8g;rOgP2Uc`hIs?b
z5#p|T@|MWElO97^^g~1M!%j0`ZvMoz(*ukjvd*&pcr5AkaHW9PjSRB3Yb`nMH&!lr
zjg-N?ulJiN?yM3&e~>!Qd)Y`Sm@(2U2u98C(nVW(xG$`R5V(-2IiOZ~;E9<rk{WkT
z14ThdkUiIO1!PH#w_n%V)nA8lZ>e@Kd(at^tX|@>yxb4y4~bmg@5WJ0(JcBrELHu9
z`BV#Ww!%E9;$XsGJlT~dUBgQxDbV`*3sxDq)8?%?l7I*kjCzV?4?V6ri`0asmJ(kA
z?#*NJAkQjez78q6Wfxsnb9(jYvN-niZXa3bAzI&R6A1J}?f2uOpa?Cf26HUns!wnJ
z`6SgdL(_|AZaI0=c5{_~(x*#Pz-;nC_StynvD7v!zO*fvX%-J0&SkZ3FG&iB^}X@E
zh~F&E*7Rk)YIy9W=kV>>2m7?Iei7Lq)OZx<in8PKo~XO7{&uzX_*JS0^trS%R`J$n
z5)2ls%R2hi^`D3xj7z_qW7m#x48C|sA*INvDZHUo;+!UPO#1!~QfxIdeLB=!CM~+Y
z-69ZB$SsG|?YCf`qb==dwmqy%`!mIS-=pBxVUr2YQRYSAeB-{RAz+)ksR<se{~a6Q
zSDc8RU$Nr+HQL7Y+mPP{=-L!SSf|wHt?CTHKzze0QuC58*IcByq(3t(n*W}7`)Vm9
z+TO_A{3E#aj4`x^uhh764RZYmz%lKJn^#jH#A7IK7!vTxdT2Lu^NqfyG#0`JM^^NX
zyHv}~P9T$_Bc|QXGyvt!@7FQ?mS<}S+H6f13(W-GAbY<5Co%NtiA}E)lw8Gmd@KDh
zP!uT_H5@W>dp$T=`gz-(!r?xP*k{krUtwm_$e=*+>6x(iC!g-JX+qg4fQXJ>KGj0M
z4MEaSqPRm5N8S17aq5hyxT{<u(<)k#0rXjMwHvl>i9xvA9=C2f!Lz8p@Cik&buy?Y
zOW|DEhLypWU(sc0&8s`F8LK+Wv<1S7`o#k<1En17)T*B|0;Pl-Z>mr9)n*fokg*0b
zkc-s15RWusfa!a#xMPB_*<Dia_pSS-Xf65x`9`0tn*9Ths<w7KZoU0ZaOfqA#a|0i
z747pI9<vmN*4&!UH}2$bh|V7g#+n1hd1}<K<7c`)9Fa6UTZP>``aJ0jTf~qHFit&*
z4G%4lQ8SVlHlj$_*@&JTIS(4LMp^x^P&tsjAr#DO9&$2d0NFurn16)<i+7%v=cldZ
zGNOog1vU%?eb^p<XPeEV2Yd;8*(?PFO%gy$rHBR*+L7hb{<AC$F-(q>y0cCtn*lL>
zC=lMec$C_AsbuN%sAd0XHXW_npbgQItIjNwIg52-S~zfK4gQ_kPXSr)1LQrMubvw@
zY&+t}r+_1y>5GM~N15^m-UJopFiZ4{l>oIVZ<la`cn>K|ZT*dcMul635yHZ${UMJb
z0UnP$Fc1S+>rwmLoYTc|C-1X#M|0y^rJ-S`B7Kg>7=|0lxItJcCL?~71IG}Q?zOlG
zZPw=h;grC2&={8_+I6h1@ER-~MTW-;R^$!pjskVEl?MM*N$f1^QP4zqKK$Gm`-#fe
zv;TR=#qy~C@T9H&OMx5h(<}vCQ_s(OJ<#fwz7OEFsd7uf^jc<Xinz@&xRN7Ts&KI!
zvg&Txt%WQ9le+it$xHurqEAnLvD=YoIpF~J80w=GkJg4WogaQCO)KH+)tvtQ7Ozcn
z??BFK&ODoChOmujkjL9<OF;53C(<n`*XY2(PX6kCPK;+0Y0?r|;%@T2)D3%j$f8r$
z{KFqE_NB4MuTEpPyIl!>METTN-;SWN$WD49sYSztvnk?Re+it)+NE<DV=AUwh3>Zx
zk@;u$J!AEUAu8obrRVKY9&3UuV;pzVGaHB=)Nl4B*aTyEcJOGhXo%&%-NNDtBi{WY
zUCWyDl9Ci}aE$v@7-eeC-tHAoN+E99;gTft5aul;pjS0D$)Fii^E~~7y3Mspz+E~z
zhbrDl%*2tnMw7iHrx};4W!CiLgSpD_30eUeIkRX!o0a=9qWZL)C}X&<?<A2{8{H7>
zmEY>LNbq%O$HE@EWy#R@cW(=g0}<2Jv}jQ^U;0sw1bg%y8qY97ze;4dRi>Nn^5erW
z05}j1%*togZ`qlcU*nY2xNnpFs+m@@8>FMmlX{*e9HvHkDaV&xyVv7rCg^!7J?>9g
zU=##qbRG&Hh7Q*<UOdda&g5h&Mc(L?q74Le^o~xpm;AC9cW2$}i*>);k%3e22=o!+
zXkSyBBWFwPRQhtMQxsdy0SKUmkpJdeVxM(Al4dM7P5+3ZeTAV}g##ce&y&n~;s(Ck
zxJSyRx@je&7vocRJcS&t{2S5Wd(bW;Z$oYnyQrca{mq1+n)(wU5fUPaW}`}ghC)4w
zLWEiq^r@;^a0$F>5qRG3%9le@n@p6`boOws{W(psqGcrFA30PF0{fcR`};%9Ln34N
zp!VPJs&T8y?9;mHsA0;P?CcL$AfN3Id59Ol#^bb;Lx5c)=GDFkV?&-tud=G&MSqq#
zPyWU&VXz@!k}sbm4(eA%l^PL?>vl0eYL8vpbw#CjtCU(v$L;|r0&ram>4GlelMe`D
zGj&L84?=l!Iq%p1(+37PTlm~ueu~{a)ej3byV`2H?nwhU7quMhqyIdc-MgfhGM_(@
z?RFbcExku_<nDv*Q>3V|6IMt6&%;&0qMKVyGME?ao3LSt@vIS+bmLi^v%Fmd(6fJU
za97C=0X*W*H0<bnybfdx^%jTj$rMkneEk;NEbFySEkrzS(u0G8!=!`+lCZF_`1p9@
zljW9_YQ2t;EVnf(x%3%^SHU3$ECJA%1Q}5zrNZO&%j#_F+O7I>tMwXw-+H2@(bCb$
zt$FO>U61^<Uw0YU7aABE8ufeG^Behw#80`oxhbxeD)DAA$cB)vW|;{o{QRWQ^_Bhg
z+N(>6Ms(Y8M?5-eS5_Xq@Yeu)*$Jb_MvlynQZ_HeJf!E=me1k0QLVfzmQ5oz@V*Ed
za>RV&`LK|f;MO1RPj+!Vj2(hA`Q7rCvU*O#*&Wws5NG+<KT@bOgtswN9~ZDE(`tRD
zoazrjN|~+Dka2LR+uq$RKR8P<@YRY>NLa1zbierQu^IGn<uXm^-!M}lv02Rt(cY5{
z<GgZ7+IF?;HQD8dAyjt1(=UzMUw7Y%x_rJ}AN?6eQe@OW+Om)*0^N4j{kVNKA&~O(
zr)0~t@BOHOw2@Js4nGSheE35`qzDF@ewZV!evrv<t$nC=6JBjFQ}DPN<ACZZj#RGE
z@7ivf*LR|6x8MAFyw<f$x32MtMx#0rgGT+XoU8fYiQ9kzKL)#5Ytho5VXYRfursD-
z8wqkqO)^^emBx}3YmCs(bh6T>@*WBQICZCCLV^FjaKjVbDu>8K<SmFxZJg8~$=sBE
z9`($oX50v)U{?D%r2TiYKw|cjk&zLz*NydP1JQOCk6ZHd<1NqZYKvXYbX^T1uEaF*
zVV&{NL%GHO9!Y?p{tMK-^)(YxQA&eIV->GRV-$xpy(-pR#Ft7t5qh<e&YLAGsG9O(
z`7G`>ST@=p&vA_Db7=fds#Vh)JRlRji|K_=k5D&qXgh!^j<FzX5O0a&=;pM>8mp|n
z%@^Mjkv;1T3DVNis<)b_A08b|a6MTXt~KhXM(E<zd#^Ge5se%74H`*WOe_c+ibON4
z<l0Q(1ZyXU&ufmZ!{uns)`M-#9#^h_?m4yKFg<?f&68}T3GNOPYh8;(@4;zHX>J8O
zt}ZmA5};A{bTvi%!dg|<pZVc)wt1DbCl)xHE~~CTef@3S%iqF6Q`PToGemwqSZTiA
zWVF!ZYFGaL;rq?W@=kTfX}ryH^MTgk^WDYPRK6H|NoP5JVp7uZT9?<V{Lx%hhK{}*
z3$TcuI=E^_q<27U7KC^qI<HZfV(TEhYCg+Y6AEk8uaN1$y5A%5na!TH^Nu5;m`D!C
zEAD>AK8GyWWHKHsRjNbmyTCgdCh$HFFiw8xbUo2-`x8!6*w{EzMoUE{C7;Q;nW&NV
zEk@u)({wC-$C+AuIxQ_Nxxl+5ffkX`^M=(?zuUWQh&jSkOZLsq4TU$B$0&9fUR|4o
z9IFshs^(vea|104EDKaU>vS>c1*jVa8&O)_XHA$-^N>7M6%`55$Yswdr&@pX1;LZ?
z@GKu#Vjbu^jj`DhM@gsB--<oV_q^=P{d$MQyP*;{2o)(l{SY)Z@|WA2;>~ZCVuQCD
zj~Q5=M7zu<-r$R2YkaU;k+f~2ZW|ZF_PNMVoJeDlsG{2<wh!q`KUY!U3+f*UWZSpv
zzAwJSav_&XFFZU<i+-=)jeIB;fyt$Z213xrF?_`aQxs<p+KnZHl_PvvL*AfpNC-Xw
zxy!&uEa4Q+tMOYp*f}P_;TcWtXrb&kgRq{esw!15VB{%K@R*VfreoV0Jr7Ag1_!xU
zdu+iGCcC$yd8j2eqOjSNajbh|t$&1~90nbnr;`SvcD=qlW~B>mGeb%`JPB>6=A}cg
zMW%L@sf>+Yv4T2=;fAO^e{oN`qOC#+Ob<k7vz%D>@I|o<++S%hi{ZWeNy6;+@+6HC
zhz0D}<UuyO?Mi8Mj>qmNj5QSo@3XGk?KvGgHOxOS(BbpF0q?H=SawZh@n`_&Xvg_9
zf}xvIB>02FNX0=wOM!{q(QKmtZw|=Ad=2PrASjX&ifiMUlO4l@7dH+_d?KC!1GBOX
zwM(Jb%XDvz4oAY}Bt$-1f7<0px_)`N?eW5BExd$e;D6d-@Kdt-6RlR)MOM7;lU2^F
zTrI6<aGP-QMxcC%>{&}R)ou7JJbCh>aDE;;*Z>Pz_q#@YU7X{Ckt>E>WFv|d&cT}3
zS(1jn$H4xK<(?5qw8eBWS5}O1rG|0%Y6@(@7lq`t>}nBsdxbBl3LpbqL%Ca};W3%k
zzrDkXHWRS7kw{~zPcl{)^uAdRU7B7caW?y$e?{C)Kecdjc)yo(>ulL{$)w%$@^F+j
zj>qTO*a_?f|3?emLT-}n!^|yb5nj;72N06idRs*oNe*!!BuR<HL&Pgr!Lv~!;Bn6&
zU_Pa8R`19ZR5v!VrZJm@CnhGU>LU%>U>WJytSEU1WALlGjkUG!spVN!N`uCD9WNNP
z8-0Cd$4qy2@{z+?on9ju!$vbtKG5@bu8=LIA#bohdAD?lLXLW{Rqfw7wBnT%S}kHG
zrWYpC(&3-2<a>v=LvC+&!47fNGlm`r&nA<#EH=7f>tL#8t*1^Qyjr3_z(LuKyZM<K
zuX`B?$4T=-3rcs^UT|94T6O6JmfY0U2lunb><T2H+4+;@uGFb(cNp_A(y$qxq2Se^
z<@p{}wXEdYEHw_()wF-QU2%%3)bDD)bZ(9Cx!*|{nXO=+9wP8&BEAvB;qRtne~ZS=
zWaoYPtiue{EGO%KmFSAR>itZW<QR_o`?NnEe$;mt;(ypDY0+8e^k~r0cVT|H^?TKT
zlAfFp6GYRkG3fF2OrBWxVZ**r<KgcSVwVIh7CT97mJaQ@O@sZ=)J<A8Uv<`)r~dWn
zOu1r>c9S%e5Yr(!`=3&aKFSBTp2sW|7KWaudYxE|5;%U&^Bu{B6r1~vxdq5K<P;C)
zI#kXWV?*qwa6%YXXViS`r^c;jCG2x|Zq#I~=5cRQ&tm$^{&4T*`H_rb$oovO1Wgyw
zkk@ruj>BR({kgH`(;qiu>=o+oF`v4Z#YucBoP7A;Zd|<7pUt>HJwRdyBrQ9B=|5#D
zUX6~jpiKywvzGZX4L|eQs0xx7h&O0=l4omOI;+^OLw%AT>9wL^z0?idR$ZdC^!>W;
zcQc@pw>-b%%spHm6*+7TdM0o3_;NN{&C5sQ@sI=2RK8j_n4<MdG!BRSU-un)v045f
zbGhBN4NF;@VZc(68j?U@MUHuRR^amMn=e%etSyTydy}j+%IBg#_=raF6#*utPc>EB
zJxGpKrQH;tOsB)`@bGX{lNDXJLna*YS%a>j(PR{pA})BN`|-3RnK+8w!0UvKZ0b%|
zt%c4n%J+Ge{xt55^FyTddaavkg*y+i%N<5ZZfOPGJp}N*+-*VhGg?alSmj08w(~;#
z`x2}2xAzD$^4hSlu!rt<=bQ4=V=$tQ7k|XaYVGU#ig9&XY}E#hfT)5WblcMNTxF^7
zN<bWAG*8zViR#O1SdMG86slNUQY@EoNYLeZyXVQgv|GAVG1My!Oj$@cx3o|evx?i&
zqXh}7l_&WK;X$|5!0*|mX|B`xK-uHrproj^we>RH?_oLza=P8K&$)H0{d_oqVyDLM
zxnjk2+2-=RABiSTT<=)v!~zbddvY|HZaPEttd(6~O>QB)fg09o*%Vel_E-FtXS)_(
z@;}@k+WGf_h|9q6G@8vNa5p+hxk)Hxb@9PDikpN)gxh)F(0yXT%5$yLL*7Ij$C*>@
zH)6Zn8U1-(Fhir&*WU<OjDpQJ%e&gDRa+NZL!&M0zB*M-QS$kUI7&wNAX8G!>b;mI
z1FFH;rP45&XH+aJ+l;&J?>0P*4o=)-`1J~cFOrqo56dgIXEh95X!_pc0b$gBbe@Iq
z!NBJ_DNnLsyxrx<n|#W=rd(y6Gvsa0Bzs>WH=<3*r}n?=sVE<2Np5v}Q_pBBxXNjk
zylf{Z@XG5=<Or-YVhsbpv0^UPDDH&n-ZMfPu8Csm7bx5Yw3F0&dR130yDT-n8_UNT
zO*9&RKT=EqshFow(!Ckn1cFuL<La2JdL6DV%TrUKa#~tx#{huT3LY95kcz?QBjw^+
zEVUHeaX943#sA1716ZvHgyx^l*BTwNtyCb;BnTYQ_j~EHt2S@i%#_OTV;o{%7vg8j
z=2eFvCAEkGB18q`nn5yIjbEIR=h)1g+;-8>L&hBJwr~z0w=%=rWPw7LWUoGCxXh@@
zW;pGrJRj%iLg?b<53n-9Jj7V&0o!;G^{7R0KiFdBGTV%1^U#DpSj@AmZVDKj-1D6Y
zc<=vA1`7A6=Sbjz=HkdSkhNdwP(S#Kh=?RPI7o)JJ!NvL5RW#ep1p#(RpQkAwYERb
z=_r3zACsE(^>Y^kJxUnhDGY`}Xk^&w^XMv+83pV&wXxBUA@lX_t^>X9%LAe|&D}*a
zY>IWRwywrdcn+Hqesty1qkffbJ`fx6kAg8I^?AB;NaOQrCVXNMpA{1mL&e9Z$C5Ix
zf&MYKKU<N4ZPelFGd8Y!?<-Ml)jaJmO-|%EcCIe(aeeJ?HFJGEeAx|Ji(Et)!9*0q
z2RpyVjN`=y2^-JEj0~EfpdiZ_s6->3t&axYO3}Dn`H(A38E3v(2kASmPy5$dWW<$m
zI=()?0HtrJWW)=US`FYP_K#zMyh}67j=S2MsL*dcwesh->%0g?J$Bj~=eqvezoQkO
zt+$c5=NUUiEq#?%O`xOMzLqh`6tolycLf>^pcjgPsjMytp-ius!a9)GdQ5fuJW^MD
z$2;oZk)Vm;^Klnk#v7%U4=Qnb$CM+C7pf5D^G1?0P$?-XV^vDzrKF_7ERdK+_&xuY
z66P0W>%Xw-U0yOAh6JCXg^)_+%siY#?|5#ZTWS#V{-f8W?BLc?k&}%jRbhBI(b3V>
zxE_1vr<yVxS<bYskGNB{0V}LT=lwDrtEpn|gO(tWBmR-<PKw`!QfN&>-#Ap(t8`kb
zSDMa~CRk`!>rQ{K)M*c9D3p1vPxqEd<soL84P=At%Krq`aH#+LH)xsu;N8owWp>t1
zkz*Nirz1&f0-4NREm&iCR)?VvZ9K^bQC2~_q*ddlZ@~lDb57*Y(9qcNEFKz>I!rok
z$^r&HxKC>reUc9VMvDc1_Z|c*f8e-PN>m@w#%+H8^gzOSwzMfT5Cii5An^0sr_cz}
zb^kY!i?X+O=h7V3G8%~}Wo2D|U*C-6{bmS(`n98@V<M7^wRI({-I}f#+0lAWkEpo#
zNWR(-=}BoDkNRV>5_7%Vd8=_7KLT764GR80?Enka{|H0)tL<{LT=(mXml_2bnV9Fz
zahWIw7njzjIH5`-N_MwXT`u?Y+{={UR^YN!iF_6*8=G2~*DzG8vDR5Mo11A!uH%qn
z(8P18UfA9F!pOt~8;m~^!&vd#i7kOd#%wemijGf8Dw@k-YM(=UncF;D1Sn4ujF<66
zlv9q5yCT1Vldj$1`Sam-x@`>(7j|0sWZCG_Z#z;~{Gc7n#fBv8UC`aS7$VSknMAhk
z#7*GeZ#`*VhAgn`ti2cnyd_;K_E3A1)d-gkwSgVyX8MWqiedz^=T=~|yvKKUz(Wj{
zjC;LV4FjxTU_?a3tZIuIGTM)GaoRHg;$b*^nBLwRib(+xs51K@neOs7W4+o1yrY|n
zWtk&Lw>URz3M_t=(r=qoSNLyZN{6JTrcP883A|XO-PzlN*H6U{k@N#ll;t!+tF=)H
ztq+%dfA(~}W5&Jy^rR9Iv(Fc+hEXWFPpb`Ica^Th-x@iDti_CqYdrnDV*~&2_wFkc
z{Fm`eF6rZIs!O-zFWT%^=S_HI)Wn>wL-k*U@|uZ%IKCmo&k%Wed8il|MY=WR-@t`q
zl-Qd)f9#1>)b9wYcU!2OXp4@N@{h?KL8=f1ai?appC!GWP)RV9L1avHtFiN#YRf)n
zF31N!4^Y<iRN{Xchj**|RF-by@vU6Hd~L2oaei516z2^`rla+?GmFmvC<<8=`)cl5
zx`#Qiy|PkPE@$GASw%jlBlqK{ZUZhxsrSxdY_#xmvT!c7{2pr@por%#1x9k1^L%XP
zxbAa1oGbKgM$5i!DysiidVu8CENOEP?P|Q0x*E2{xBU!?MwTkH$e_lD|L#?QC9?bZ
zcW9HjO0AJ{uk~)9L!axz*?Qk+&zP$3{vT@C4wM`>^Y8IzTV!RE*~6RxE0oG}CF?VO
zbJgG?5ONvp7+5Jpp|Hi@uP!fDH5CKjKmVOpQ2W8Gms*z{#h8y3aEr~aqHZT(vrwG9
zNLnBF3wKsrV7ucTP!RI&gD>e@ykMm8r?Tt(^XCsK2Zu&fGSN7)rS(Vvn{_BF`+6_E
zR)g6@GM$-ML?%6}&E4L-Yd%jhv@p6Ql3}VG==_oz%7XDv4MpQ6ND%m_Hd`+eFI2vp
z+XULs<8s`V#E7!q|D9KF?bVHYcXuhTGguYYC>NeM>2nah6NVJDg!XCo-&t)%p`@cr
zij4fwb~!?$_Te1<BfV;LISLlk(d^>lB1ByBd!l-Kk7ga5>QA>5`-D;Z(L3Qqm#M;f
zVP6UUdFV<QTuysI^-9gW9}A`Q-o-Hl0`w7>bn)MyPRKZFW=ge9)>^@(m`km6cbEiP
z(Q>_#dC+!2Q482dLVp<J&`q1<+OVNL8TFr+HhaIysoW}c0CYx00z^1ElsX8|jj{gn
zVAE?>bCr`weBExi&!Ib~nj8kJ@=F#+)3UojDb238<{MukRTP6@qHC9)o_i-d(HD%v
zBH`dht0F0Ysa)EX_k;VN?+XW8sb6Zbvy(0uO%0J7Rl3`#jGiK`uQTCO-<aX(dH3%w
zHA1lUeIVL+@)o$%986W3AjRxZ3jVEoqw%%p6cD&duRp%#{96QCm`E%p;S&ZM%_<?1
z1IBIje&V5DT!88PFuG3@wh0Tx_;;T(1QQbzb?GpG(p3!;0s|p2jv-NoA9SB(VC_Eh
zE8|ZyC<Qx5%x7$Me1zPWIDsNnCweoMR#`BVpUA|GKtOYx;Jf`9hDK4Cn=2?iD)Pnb
z!kmf&yyzsAszrZbwN4iK6DHg5&yD)bv__^;u$ngD5`Wpmf4v9#f070BD?w)d`}bhl
z@#V?Gg)I=yX09^L&^hY4Sm{N;jv!X<@z-;)U3+=e3LDkH1Yfn^n3Jg9Yc|zcDCnen
zi-Q&HWM<-OwL6ztue2&PMd&pmPk0?K)Ja!1D5U6wv#!)t<H@;I9`a&EmsW_3jXH7W
z-=Ly{(x40RV1L{Nu70sx#`rynjEs!TgkqDJKiR;;!p2!uw~5<!-<xWs&FZ@nwDT_A
zIFrPz&S+I*uk@)fUCF`Ni`qbhh=I06aT$^@bm8vL{$#<3B>ePfs_9_6y$w0cC7}5b
zuKT@qW%7C`+jMTa`~3I|lA9z~z=k6jV`f*WiG&BOn7Y!+C4kf$pDl01+l1u7j(QjP
zQHc>q=puCs3JPY|Cc3<ClNS~=$=14C8O2BM@9!-OBX9cp`)8XBX@gxX5{)S;0WG&9
ztkL&*+U#;$w!k*It~7~9on$ONvP>H=#o4~W1kh&pwm=%jUaz{X4?`1p=dySC+Y6V%
z!^4wNQ%h(2y?CT?I^=7k1*fWW7!`g%2?nzRqNSYK*3$6s@KlX~z_l?UE2}D?x{v`-
zuDrU$stB=113Q@g3eciMuFc82;`<><>|5=b)Uv?lODo2I9kH~EpRiG@lLq9H`<I=L
zWpIpEwX9JC0_I5g5{9IxXdo{@%tt~iWK!s>2lNSy8@pYO)Y|~+Hp|Tdi9UT&yB!?*
zdZ^J84{|7gGG92CGd(>$tJ--4g&o3?q~yjBE1s9lG27}~CM;ihUqDJB_H(7pX(ybf
z8hHg;Wfs^aJvRNyH}Awx=5MjfVmAIWL4m)lxQnTsO?rX*5?~4{1;>EtQya0Bn<cw#
z|3vWs2~L34uXL)8CEMB_=KFHLXNfLgHjYd78`+^?=6PgDRt$R&cd=6t(awM_EuGVN
zzG?{HOEwq*ha4adY?kpJ_%Nz|FF!=S{rU&r&a=S+QHh`WkpxoZSqcUKjh0%2O5u-%
zi&|u~+vy6`f(rJqT47vDT3VU-3gtH(%;F6_6;<JKRt3BrAi(SDYg2}>k7=l^o%al~
z8KovCCl{a2moX#B!UAR(9ufpH!wmz7RL?<edwu=voghMYMlcZ{1@(>gyU%#q1X;%0
zAKc0n1fEr4n-+t{v-xPSJdC5T9lDtCq6tu<%a&UuW`C|RO<Z5CB~8fO2YHtqgE$>A
z2?-g1fB+`8t2+2@0x+cP#o9oSl|IRXS@konO^MAOe=U7C$;L85O+^*AvZ8yxUl5Zx
z%RU~^bO#)1llf{rY5%cm@H`2e40apkqY-5HAJ@T#Bu%FtQ9qhbZRP^evv|mdZoPNZ
zp>2$#a8Hy<SI^x6$nGWD5Anue1i&@z`+Lh3a`@}LZf)7rjt|NgJ~Q+4uWgxQLquHf
zajbi*RC$Ti5=A55uvyJf`k6=m977eqvq$g(5Q@q7uTYkMqiyH_j4wXSnMoxfOff3f
z@V>Dgs14H2&~&SSsteh~rCm(xq!7%z$;PmH!@v`;hJhdQg5xmeVu=#7r+{dlh=U=%
zSq=NO)2RQwR+ncJwp2m%7A2mMpv$Q3ypvuGlTGxs{a>i>z={`%zt~hKMsO)r&t^p{
z6jvpxgv@d796&$Byf1LE>q1;#h5gMpniV$Tc#ia&c2i~)AccYu$f}jF{XVcq{m7Df
zwM4P*Msl93?Jf`zb_LfKGa+njl@((z&4!RMJ#x{+r(<a5$-kxBjFWWFpWNW*S6esu
zx%@8uhsZZE-$z^m;N7dTAHocX20T|AD4<|9!wnAOpsXBEtJ5rN<6Gx`@n>|Ct0`MB
z75W2KZlA}WhRFw3(T~%!lE_9ZdE#0w5XH_|7rCintkqd5H%VoZ1@gf5K>{@ZYe3<t
z*F-oQ2-Ef2K@!#iIWlI8Dbnxgw<IyV`PEP~7J(>$_Fn~1c+@#xBb4Yk_CVaDUQ^gX
zlb)CBnpssY;>7R0@E4tYML+M*!>k1QRO&`zV5}%(_<5DqVg#z^hA)i4d_rhGogxUZ
z<NMwj9RLuYIh(~MGDse<KzUC0H?rU&0Y-APJC;$Qq2?9f#H7uRBUc~?!xiZHE0t+P
zf}5URekTpqrKK*0vX1R&+J{Bi#Jh)+%i(Wqc=h{$-~rBucNMO(E?eo0!N%p-Kuyi8
zdmTGyr52+7`CSl|W>!miT~Gxe0okKE5baNxeg1>~wD?~0F~8KGrJJjn%n>`3kMtS{
zvhjmN2s`6EXR3LML{AG}0Gtjf|J@o~d`?yku&8Qomh86-S~Ib~g{h{QLKe4Lm6LG;
zf`Y|NsgmQoo|_tGi}|E5h>D1J*`GPeBNX<>E@w4-h&~17Kv=_ne~iqn!(1&_qahnd
zHV<zE=VWNW5}uJ!tb8lsbtMNQ0%^W#hG?QM!hJI=qG(q0ST4rKkvg_*V!<CiDSOZW
z($!Rj21DCsFwP45uYJxZ{4ndK^7`t@5F@@VlP_nGEyRDJ=L79k3RllnslJgMQg41X
z0Uf?thJeIGbdyS`j|`O}{U-3ju-}7$cOFAG`+~~M`GjPd_@bTw5sv!E;Rn9mLTgy#
z5sOOA?#1&>*f9R6<^~SL-+~(iiGKA;Uoq`ZK3MD{vTv;tf(5Mg`1N=it$q?->2R}S
z!$2^aLmNRh#yuLw;jmS;nuTErH>4=r@+G0;j+(B(?l$15Zu*tx>hafBGa!whs28P4
zfw3OttuZ8UP1k<IUk>Y*k>z^ONcN+i*RvWsQ5<WE;^xRUcVGJPXv(&*rg6UV%pq(o
zrOz4V*#VW*KK*f3z-B{ofy3ZJBp)xgD2PG#BWh?q2CXx$ZNlqiz^bgde<F)4G>Uuv
zErJC5VIrD9pt}5^!8=QQd{%VzPPePetJo#hbTaROX#H6dsPU0#wN3{rLOEdwdtp{G
z)vL70ylzj`grlM;0G>kv1qEek90BANY5M7TkON|z)YX%LbaR_>;k9qmzH8Hu=7Smn
z>~0FnQ%wydTO-Xu*>&KgJ!Vts0LUDM7y_A3mZ(1+n?xnFnV)$;`wYl7%`Tn0t^1VR
z7!9I3>rr4u&}r3+*4_s@SrV45wHjL#94L;NrI)$F#5$kY@2UY#`;aQ&`e?qwML+OQ
zAVEF-RIA=Ii)(csdmI4SD=tm3UV7gfH@t&JERE|nek|)hjsIzCgWIsek92@SQSjK>
zVce$nC3pg~dcpAs0Dgib0k4$ud%m7e%D4U@NZ?|;^?~Pj;KQh$DBQQ0rflpW_PFit
z`GXMrb-SMQQ%(HMyR!e*LILZP$>Szp-_Ss3hxr-d9n0;3>8Og2KKS(6!gjv{cK0Jj
zjC29xRadcDv;|q#(p<Gt=7b$T7*3%g^oEFW3gCZ^MZm1405Ft{*GGwI)t~BGeH6Gs
z0T6ICAtk~&l)4krvMY?@RX8LY%6Wsy@kT`WXAz)(f@*7kBN9r&5URTZf*$P|=BeU>
z6E`{eV10EDP45J@&&!d)EA@1-T*9d_LGpV9Ke)ip&d)h=CxjPF0&+<>vqsr|Ff(2E
zd48u6Rc}&U74rUkO-^`17a%^z%!^c>0O~iaDDa|0pK;d`t$z%g?qKxCfsy>ET@71&
z9P)(V-*}^$@vqWAIR^pYkb!CrNJzqNpNGFnLUMo4Gm(Y(;IR7KKJ#HYG#BLO^S&o4
zgI8se%NTC|%Qz~t&ch}qjH5zND|BB5Au;0%F=`4d#@BCP?Df6xv0m?n1VF?ZVvAW*
zrQiJnY#y&fBo<N6^NAhJz%u<8Q2uX7Atl|_%)W*5(=x*(Xjx?ZGaT>YYF;9irpcTM
zWE6HlYAJ9q+Tk(3=JXn1i<@R~yD0N0f5#Z1S6Snp{F)!(_?W{kEu_?zZF2Xr!tfxS
z;_A{<ZM)D$IJ_OoEs4)+mjJ|v9!NtzAc$Fge;LOTJL*vXZV%7UQS=cLuO9v2pg>2d
z(B^ytc;&zy<``g9g3pA88cME38A&RnG|k!0W3JqY({qJ(tzSEgxrE9J-f2V6pt$S5
z)zKY>_sS5I$lQ}%RjgNiiX~%hVrONs3o7acD%5VE#G2n+F1WDaKr?{S&MGbJwlac8
zw)32an1fU!f`Hn~z%iM(G@c$RWlbw7AR1aM21(fMlNv>hz01{P?}Otf0b2Sb&Hfgf
zZ^+MI>S>30wZ1G3)1Ty<NVd37bJJG-Ulo;E$dt77DKYA}O`SL28kFgdYK2cw0qK$6
zPXDb`{V=c>o`4|nDSuQ*lh?)YFf@6JEscLV`))>!Kd8O>=T-X~mym&s&ZbU2Yu-)O
zr)zY0*LER&8f^ks77a%=;{utT0+MwDmWa<UDGrp4@cm^^)8mQ9GA8jVnzN<Uszvgu
z;ppbx?g1mIwe+gCUT_+0oVOoJXRa)=z{8yTzluj|AgNj1D&3NCn>z>l8+fGLDOc-g
zg=UqY;9T$m_DtR){5mARrmt#rCZpTX;R?HU@O3Uva!-z!+!7$01maJ;smy?^Nllf2
zlwziJa~hC_M+?k+6*O}?Km9i?`$>3XKmk$8HxE$9+4^;)Zxf4s+xT&=fx$GLY1Wgy
zxpAm~V_iU5Ot?SQ%p-ChsvqdT%tu?<or0IF6b8W~R|-XaefkhYym$a)dYGA%C90*y
z^q;0?5{K0Rw?8_Gy;9BuoF^_wfRt;QTtKx6kBA_np^*XfND3g?i+XH@hl4`{P#IKI
zfLvj-p1Z%6`fc_>Edr|lj)rMkVb;NR9Y5S>V{G{1t~7{mU_soB*=Sx;0Kr3o75w7l
z==cTDWiI>R8Gfd-Srz8z3j@E%f!uD<)1Qw$v4F#uQdLbH>R_OzjtAJ-C;;|pp^=KE
z_M{YKzGMy^mTznxaZ8C}t=9dbS}d9Iw*A5X{6zu8%5v9GI6W>4L0pL0<xuthxM2cv
z2v8rVAa8R!fy^$m{f6K@$R`2LF8CHv$?s;-%w(a~2qX`MN#oaqIeYcDdzu27tS{~g
z?ZyYZ5Sv*fhl1|X$0We9>LRfRvQ=q3Zq?RHjZ%!%u5zj4;#t6?r9XepFF(?zU|~@S
z^AZvYknCra!nZH5!f4roHY-k-FY3tZjpPP_m@A21L{PNE0hjeK)_Vvc@Qpn_ww_)d
zTDk_(0w0bt`MlJnWn^Z#U56%-q|8NG`aL~&F?=$lVi28&raT}=c!IbUv(X<xYiS45
zD~w|`4b(uPVq=#_evh<8{F<GdOdf^(sfMDzucNR~G@ad!p{hfH*)pH`Oj#^V7F#y1
z8WL5Ipj8}C5Gg_rFuGC#KqgH+wOy#q^GsXCsO%#e6fXmE>m$EuP4@Ywa^nVCk7lSX
zP(Ique7Lff@BK5p)OmaSmYISi1doh08bd%C9Hlk#X$MsQuS%SA`9w>c6#V@9fCR&U
zIxUvYc4|Bqs7uR5q4IuE3gD?0e3(lKU_ndS6G2@-BB68$a^oXHN(H;k($6#&Gu2pB
zg_h-d6B#Kvxg<blFF$aEVXN#i{`|QRD9Ui`{Iz0+eUgl;P5NxMUR=D$rx$X6Lk85+
zo;4Uvyv1d37&h@1fN^!uYBx%DKOEASY@T>_X!f51VdVn>zwYj@G!h^SUJh6M3sCpA
z+qu$@)PE4pPiIEsB<}vSnT8(5(9qpXv~%$%cvs6i#G}8@0#Qc@246j)>IGotrlE9=
zw>QfuAUM|C3mR=#wUw2X69ri3GKs!w_7DEN2PH(#dS3NUyB}>$RuR6>sC*OOj9<=e
zV4Y*(?Of-f(<+Y6ILw>j#8El2fA$0zvMOUT8ijmm*^N{JIY{m-1klbP1@k-u(4X)3
zkvGw|H(gLuGZmG;l1(9%QAo~ai&pciu?;rLs39KWWUxC=F}*Q<?BM3E`bxpWkDuF<
zSy1yA>{$YS`cW&uV0?E9^fWa~eMx}=<bzv4^%?=H%hX6&?UuiErGx6XBMBxz^f~|=
zrI%9Mz>eSbI2H8^4BK3>MwNC^ajPB!@)D_%_HF7hNF&!=#yiR`(<5V^@{+N`swBca
zIGn98*&2+JKiLF3I>55&$2twhv5f^Ng%kElRQwqW<xIEP2qwr4=1N1>zAOWY6qD5x
z_dh^|(=2-9qxpl7#llbTsmJE9lOmJOTjHprzH;2@Rlk?39K4Rrzg$2jbyla-y-pW^
zNagGD815TR5REYBT+06{1G<U8jG1M*c!~oPH>dKaHHT<hCgd^#e>S41t>Ya5WiCMO
zCGva>^{^Laobqqkq6cjSJ~$v@4Mmx~g{~x6Lfq1BJTl>s&xfsmfHJ~4`cu&AeB--i
z0^-a-BdhYzrkjrbZJrg6)ED>J*G}Urq=IYvdH8$=M#kyKZS8U6b=1;_guf@(i*GOd
z&3HkiwhuNkyS6UXn?wK=cRJDdeB~boYmG5KyBfb*V8wC;!=EfQRe)e?yuz~Yyp*$(
zQ_n#nkZ>t?6W-xcyWglf!YDp8$_;iSe+8k}9Htt8s{y5|jM704b0SE5suqh?BtW5n
zT_TX+wP{%`F3xfhFaeAr3)^>&>?6HYh)~OZiHCO%PsKOW4K+S+u}0P>L;I&XLuVq{
z;oF1h5OCGVjXR>6fE$^K#ocwJkFay(RlYW;KDE9q?(5%0!KR1p8?bp?D-Y7?A#!Oo
zYX#o}1lPO5MI6~)^V{pg*}AmvR<&pI=3~+~)Ey3vjCm&Biy>J}=N>?Gx?HlV83vp>
zuX+$rwq@W)hjr0Wo#(|H1~p6Gi{jEWc_9jlRe<g((7tIG2{}(4n(`uoXVsQ^7z~q6
zX6+T$RkHQxPi7!?!F=dGDHZHA<Xwq7g{@o=P>-rpBkej`BmKU(yQcfWvdNX-=fN2x
z?n8mq_EtAgqcO%dPib`q=uqWP<&6{VvjF_4#^=a>d;QaL^?s&I#gh9GP*lQU#0P8B
zgB`F$F(D9NjqOlH@i1qr529-7xAVg!3tp<w5{lG>$2e9crKOdH<OZW~N*=0TdwaVK
zrF{X$$?UwZXnVf-5c}jVn|DK^%MM6mihi($=m_w(tyDgj!xRv&pGogTjM1Vr41Cn&
z5R4D8r`JO>Y?6?Ba7e6%8ja2@K=sy4qbE+0yFl@PyRwO_tq<#&`eek1P^P~0&z3l+
z+M$ubzD8(q*?eAb5RHP3X_lau7j87KKqU{?fnY1~0GXn9TX6_M-H-UlpuYA=6d`#P
z%Y)b*1`@F^M5%ewTuT52BJAKxt2I}#Tla`F@BgCet)r^yy1rpJ9;I8QyF*e^2|?+U
z5J40?gmg$FsURxdDJUVSbb}~JBT9FOfHWeV-`w~8yzlqC|2VEOF30hlwbxp6&R^~8
zC(ov~o{Tlw$G&b4Ul%YVH5jPG?BGn;zSla?LH%vN?y2F2rgDFqoB-EPLa1RN0#c>n
znerSXnv7<Fah+^>TeGfXkW3}6eyrDA54iX)<W0hS8%@M+w5;EW=Z8P$jGw+IT)2N2
zF*GS7&U1rR;Cw;l+Ifr(?fcj30yEyL*F?9AUzNxg{e4_u3|5-Dg}y?dE6`NfxXig9
z<|s^zjBLhzsG@H@qaY_Yhw8ljjq;I%hW#oFZpLrm0M&f#pAxHIV~u~nl}M6ckz5t|
zm38$|yuytU9-X%9Ae1rHYjjyqr51Ypg68MyNU2@e6+0C$@^-g>)kLuBc&xBO)6=kC
z-kaeOyG<Bh%7Llg6wz3?&lRZ6z6{}i#k=*bLLxVBqQW{Ww^QiO$78|Ir4kC786uBH
zWJ(?L*QQQ#>eA*TFHzN)si~@eX$j^L7QVYlK63$#HBwlNH1)_FLWLGQ8Xoa5Gp~C5
z4PVs658%+sw(#9QQ05CLa|?H)H}f0r9=c3952O~==yBi-H!YVEPv$qB?iuUDOz$7L
zYiR0^x@>bS%eof@6M!OmR+sSS`e1%+c1})mTYZQQB?urxuj=+w-NC%3Wi<`u=F1b>
zEq-&|VK;-3E{=e*7o$Tzz2(R)ov|KGSk&XOHu`R|m1~ee=;CegT{1CH+<-2^loBQQ
zJ*bA5PD0!M*7Azx!f2o0=~4bq;Z}OQrLTQ70$SF6(f`VvKh@5-DL;P`bJ!xUrJ=Wo
zdCed|RXP`(eJ=6C|E8Y7BF+RfsuO!ZOE5@_$&U40z|hwbx};+L`XgnGE1{4-oQR>&
zDxQQ9forPO4eJ}FO6J!0qb;OEg~U!q>)Z-yOy<!q&eb(F4Nkw3gcR)bZU+_3Qli3k
z*C~q<X)BL#0xEeqphh*bVJVa;yd>^CIs7-YI{W3h>Q2dptAsUgJ%8bS5sN3aEBt&>
zDp2dQEQi3exLiO2sx@(AQ!g!b$92Z?wZuGh8`9_Dp_%O1iIzRvFg@~xj$pf8_Dtt~
zDDA`0<SJ&ER_3!xj@nh=R6m1LT`7mfYHg?cYL*k%H7NTf=^a;L-1kE>*o~<<l-
zW$nu<cFtPp^T|gfwEWJGXS!q9)dtUgdea`=;Oq3+UCF8H->GQ7?x%gS;qf`Pblj5J
zi3n3BfUW5}u|HN~1<NJI8L<1%(7vTn)g$t&x2qeAXXD|5nOZc%5a+{R3VqfCqc_sS
z`drni8e2Sx1lZ7)KQV5rZaW?|5nm|jLhMQ19R0QbEd6WT13<wxQuGrdjnTrB`^^+H
zq*1%1YVnumsYj9G_|*Z08*yEq&qTEj&F9;(P-zkzp&Lm;n7BJfpn$SnpjkBBI68!8
zJC5I^jw@p|C4|n+KDE6GncwKus{S*-4Y6#ky~N2GeC$({H6a^i`^d+*Sk#AxeF;?W
zqD!})U*b*_xX0|VPN#UD)TE?+wI)Jn?EiLqt(S&H|4$YGOvU7=W0Ah@qp8IWLksr9
zvi;-g?31q+l)PF`nCeD(M5LvsFoZ7cPs!+sSfAF}NZu`-u~Iayo)IyNgc~U+w3*;x
z4QAcsFfB*<0`&{ZHjJR1Lbgbun-$vp*4EXjz8j$>ID^G^^DeA7mzE>fWiZxc{ng@|
zEXNT^n-Th+VrrUer{jeaAp}=%(`<sCBIeJZCj<XX|ArUyaS!Gutu#c*n=C~JAjW-M
zF%;F|#%Qh5!*kb+h2l-)ziAfqjVQveq+u6*l+QuESUsL-Brq@|G(^-QZdd<GDwb2L
ziq30wX}i$@*D1Wtq2^x!e1}`ASgg~43w2<$1fsXZFdE!xH@DK$B+I^3L|~Zxu-HH>
z0i#j8>F51vpE8flhr8od_NnCNH8Ee>X^l;Dv$OM}-bdJPm7l_+Uf)+AWkqH*)y#&5
z2X{n_>mH}S;2;uh>{h$7;Nq0NG*ud=86taKjNr@Jh+zhUuz9HIOMbNY7hD=I5dGbi
z4?iuP!})IRj|x*?Y_~GE==joM?)RcESEV@wEtmq$*E!##^;ZemgF3m=J);L7vx|L)
zF!btXtjr%JWaf7}IWv?qWPIZ!d~QZx#8wJmT?z0pUlW8uDU)38=GJ5osaiBYFLzW}
z@1|FShTWT264RvC2eQ>5V+0K!2f!J+X9Emc=C|bF>cIJp!F+%Y5fv>5)`m2@(UG!M
zoF;!ABld4LyN~1Rub^V&;>^B<S1#~=tdYkPwOluqyEHGT?xE0JY`M)R@EyMj_G#4=
ztJzCr4&V)>A7j2d&h>L=@AY<s>i09p9RKsCu2F)I220=5bx~nd(}-synpH^^kSp~G
zA)Xhd)IslOgLhr*Xi)Dy_#}{BJN~VcxBicBlmb~}^;!A*!9~(ok)!wn^^>2sFWTdL
z6tuwIdntQzEBrmI<JXYKw~2I$zvodeVG=)ODMc3iv3NoeVuc$P^wU%0aeV4DDS<8I
zNtj?>*g+#4fG)yosQg`$Ci%$H=<n|@@iD2T2KOyxx0)~5Q1ao5<W`tHGolY{yGZuW
zXQ3+|gx!&O0bC_}ZGY<W@|4%pf}1%<Q|s#1Q>QQg?~l!tArBCId>Q}m*CWA)(;T?7
zudnc$gZ?2VJ^fm(*SEXVW)aF4`Zlx^`Sq2Ds}2!Y#;z({xe1d;qJ_NgVN{Nh_Sx$|
zWbcmyFkQ6!LB|TN*AMQ&b2dVBivu6D?hVWxi5@zTKyC85iL)03wTS~gD}QlL3Z@35
z?%)Xu#fp-mw(F%ER~PcZL`I$ZxCjKg;g6XIdyo6#Jt?9Ujju@BS~z_&rv{mIbNkpm
z-Jhe`nB%>5Fk^h|;#VlzeZhDIbf5*FL0vPFJH=YClXcti<>ncyoUF}xX=R$?d&Ww}
zxpHgp|6$ub3Dnv8_3h09@S%5gTaq|J<Pb&sM$J6&6^YxFwqX5bw8uz!0evOxIDJ#}
zeOss~&$}$b`UTN}&p7Xx6Mx^+ZOMML`O$`x_t7O5F92Z|auOfLTr;jpA`jFVgT8O*
zY>?EJ<Ct_dbX=w{NE$f%JPe9N<{;B<wB!~sqfC+Fz#rnUk06|5(YpEf1>d8l2XJf)
zS$w~sXop7-&l5oV1#c0Z&o;D8_g-HYt`GNV)yvkgI{LvyE&V=Y;R(H4VT$1U>Ds3s
z7OX=bxNrYf+0A+Z(t<(*Ubxh+hzkHmVXA~8orj^g3uweRE{yqFiZ;%I;lQ_0O4c8T
z|CYK9dr577wZ3uz*uHQX)B3kfnI_+2zmt5TuG&^tvpu})yUM_8I*n``sfFVeEZ^Wt
ziQIp^<PWNLj)e=`%f=CW!gsNO1@subxXn)x=N0gqg+=eA-ADqJwp`Q=Ket8b1LJD2
zIxZV89yj>TL&8Ax<bktG{_l)UjN#%N^&KKsKgSnR&<>qq{r%=P7P5(8-0d;fpzlI+
zVTUD%+mB~YCKY%SB=N|){)xJpnf=+tw_j<V{^blSnb0-$)NU1H_G|o)(bL@(4>j;h
zXLdmIpYQ&|<vPn#dx|V;yV;*GJdUt1j0j<Go)WFpWHsDGxTb?QScEr(c8yIgXobB8
z-K+i;6~YPS5XI}U?!Hzj?vxvb)~hpmSte`V3!kpr403t>dH0g=qM^s3e1?dy@Su0S
z1J%-}vy!O-irLV*l^)MaaEnQ^V%_6<v3Rml_-SxQH1}&^j5eeEKHQ2AinS=)wBi)s
zMdxamI~;4X{B9^KYdiZ17ESG!UuYjx$ee5`RJKL9xt`QeNx9~^Tx@YqDlIK_?cN?y
z$TO?Iyh4Ney$t0bPz!6IiBwJcwv~P`O_p}i#g-B8*$(cQCdszTs)xZWulT39#jOn%
zss27rpUA*_9NzRrs}2U#ASSL*gOE%hin+UD(pjzjWdc(wHQs%smVJv%AtboXLG^Hy
zc=kk}<&#kuKeF9h+?&-3*WrC^xp~thuNHG9<*h-~*{d*G(c81cA@)4G+)oB#Z45(g
zcUDKV8f``|Ykjgn5qkbonl(5-D5z&xZ0Cp5hHHZotV;QCk=JV>{+`|zNmz;5laO88
z^0=g=ya$!4taTkCj10nsJiVzQ9kTw@8sxu9!`UhD3}JvZ7AbHi!vF8!mnVWkI2>b@
z8XGfu%JT@atFCQf)HX{zp|z`#c4*vWr=cP8p(UYC>2qCA&8*aeQ+gAGTl<JZ`^D@n
zGc-=LkIle`EmuMw;6uJ=-F97UFDOKtm1b-{QkMUQ`<gcGgJ$|}A+y$WUuOMZe7C&~
z`#h<qMxM#qw7WxMn_R%g{SyY*G*JNr*r6hX4Wt~G6(7U7N|-r6+wYP$BB5OIRDB-B
zWj*fKfJvBJn&9N1T@;B$_aIUg#g`WF<k&LF0-RcA*A@~V8QjpQm0x!MmetS2*Cjf!
z>^VF-95bHs<#t-;Rx>X!$3DTY;*pLe8Edk#L<k2Eve5``VVOHIQjt%4T#o6;hP53U
z-WMZwzGhmuRUNrXiQ(7%pa?K*85td#shJpkSxHuXn9+|gC%x|#p2H&OMFt#J7kb-o
z^C5$Do(FoCcReMhPBW^e>eQq>J;Jy(xVx2kQRs8J<}5Z|4QZx!J=PpEa#U)_1C(2~
zX>Es&t|p9kRl3r6C)(;)&-;9Ei~2!&mhX0<h42&J*2FxbHi6E^5``;rR6ld7xh_pa
zoUgDM7iw9o5ly(vz?pT#mNaa}jAuyZl+j%(^?U(Y7t(BW$&xFS@aqww(G3S<370pL
z2B*u2d7}cZ07`v@IRR0oHAkYMT5ye8+a4zq$M}C8JDRxC-y>9<jiIf>)Vj<$58*kj
z)c?;pB&FaYcon-7yU5}@Mqg+`s{5<>I0g{J#Oq_=;g@UVM9gm4CozZi)1vHm9%KGQ
zSZKb=nTDpqNA2}4vhr`6w~Hmq-2C5izsw#LOuqRa2tNkmBDC`g<=?m=q)&oetyq}f
z(kg4h{`tSLbodOFS62$;p<Z7xDgtdfX$AT!Uw2%V<hR`Y8EJOKOCE1Tid*E#^LT*q
z)_+whgFG>^4uLu@f_p$*Y~onDmlU<&vuW$Ygj+z4@r5QLlXa`V{bhDZ&E!tghe#Xl
z^oh3rETG;?80w`4J^%C6NhMs$loK2!t-U|by(3x(`HN63tzT{65Z$At*Fql2C6s`F
zjKgw-+XwI){J73X<+R1H8UUX`ocS*XxmIqOF8mK&V?~h?+$jnlVbS_Eh0GN9XUgCC
zG59NDEZTSPveeerf=QLt%gc+Lp8gt;+vJRl0zyLi#<Kjt<v9AMTYGtsJQ~rFr+wOk
z!FzqBKm*pp-t{Kr^)zduOHR!d6+_l$K0ku#kqPQGVozND@$R|n#^inP{f%p**lJq9
z7sQ;LJmUr#B8U%hBS3%52Ib+~zcW*>DsvF{S?1fiR1mI{IT{38uxVppwP;w)5s{vo
z1{TYk=$$ZX5jNl+UhylAj4IVZqYFOb-{pNWu>kvUl`8tieLmUlE_0ZY0`?&>4G>So
za2j^qT=nQ^%*VLk?&7IZhO~I2k?QZOIM{)g#wmwcZ0t$3w+5~~j`b?Py<_QWs0ecD
z08&O-zXyoy2pC+7up$$RvupB2l>864K!y|_6og{$`u6SHT|K?*+qCBlr6N}q2c<tA
zk>IJ(tc`~a{2e5_wy-qf=F&Bfjd$=IOKI>dvr7!Nl}$KS>s8%pQd`z&MJ1-MoSJD-
zpy=q#*ZnZ~hnm$9w`QKivVwgMuV13{v-NpPh3IlB2QZqK$q9TFfnXJhvjb^fCO@v+
z0}yK=P9U3<i6RoX;-a7ocP$Tm&=*yT9`0KeK4P{WZ9dVOr;nW&pjX3b^Y~05crJEy
zy4~;}Ddu1p7U37ow>R^1KNTAV1&)oCTP<{u&G(9u--w7_<W|r~edS2QleA~a0+g6s
zM$kA*FQkOv9Ry=3_Jh{!-bX_N$|oZq(~X{o%q8il()(5GROwFliFy>3w1uZ_gO22k
z4W>j+lPah`vmPiiGP0PI6dod4qjSmCvGNbD%l&tZDs2{qKm86ASBb6Jb2yBkMvQ7(
zZ}B4TpQxk!IGghwKeH}ggyVXmB1dTxDo|8wcF`e@oPr`=K=fIT8GVGCy|gIdtGGC9
z@l_zg8Gi#0K33A~k1p~LI@%n!OGcV%8+ELve&i}=S4+sl;w<^C$Uv?*CZRYR3tr5Q
zAMX?_RtEE30Cbl!sa_q$$#H(+^}DRI#Ynk&Pb2+1JiWn7*hf0Y(ZXkPN$jj|bjy$U
zK+n9Tj>Wn>Rqs(a%kHzcrgI5HW#O?hr~+*m$AwFT+R^Q^UxTCf$180YB5rI%^<Vla
zd=PRk=N4-pMOb*{`$rmYVu<bMbAVN`k$!M4G+V30$BaD#SMqU4mKpD58wI`|Htf%2
zTzq_b&P{W=M5_*=JcPYlz`7MS@ZY9C8~nG}8`~>M|NA88YP^Laqmk$&s}SWr7p0(j
zdRF6025)70+94|jyo3MViYDXl|9jbwhBdz~=KP)SL7cQ#(6EzM<hv^NiqMhmfEnSj
zt}NJ%m05I!5*aKRoDXXVG|Q8hAXy^>a(uuA<Yl0FDyB*o{Zs9|p4KOvX{f&b-U$TF
z;3bA6srFFNQEu2=Ahlcha{GTjdQ)Q*WARO%mywhydz%lw`*o@qTN~oAE<1icHF#BN
zcF{5>AQI^a(J{TSz0kyg?_-3$&g=QQi8qbUirS?Nm)hJ@Mvqfo!6tzHuT^K43Rg`6
z`r+wXRGI*n$ofR-)SHEqza|W;rua8++%N`8a;cP<K)IO`(8{LF4l&pRsF3E;$;XG@
zEh+<NVlnuVWrs7lZrW7z^u-UF_;|}u5MBUx<)tl8$l8#bCG)&PtC46OVs2?|_(7Pv
zQ=IZ?TBLM|?%lgRDUYe~29x0Lw&9M!F_Oz9HLT~oH@wl%@Ga+qjQAVkXzHwqJX}j)
z;6jGv6%;IX{`^GLomX~yO2|c2nw8)?$)Gwd;XAEqU~L#W`dTzJ=3x39sS`8TBZlM<
zNcpyeuyC0$n{}3AI2&k3$1AK^5xvC2MsF2)l=!mK@AkeX&gKBlCM%<{_xhyh5Ypn?
z-$;-%26ZO>o{Y4)clzu1n3%m?|GZ2NMBWN+gbvWHS%7;j2G~HjZ{p`#Uh<NCUPv&e
z`qLW6LEw7_)|NNs(z<pYQKsM<^hyBMWa-8;o7mqAkFGZ!RYm$UTb22do`kmTh~+kc
zRgiz=p-=J7`oz8PA~N~QpTH}fRP{}seCrB!pUxj&w~PNZ?z^ea?g|L=-8nj#W{>eP
zx3$nBb0+*mf5Sa*d7bxD!`+gc+#!;!u1g1j=x4XVmGnPL^Gplt)}5VuZpN~Hb+;4j
zB+R_M?;PHdELqfOk(#J>OoXI?+rgy4o7XAu2E~B3u}ziu1Rm4bD}hi@I>5hoaWg5z
z0k(3EPU1bH6GOZ&8vF^#^_ZMb8Jv{(Vc+ORLdeEopRfZd8D3E6;ycV9n1ZnCaZG(6
z&e-A(1Rfj_J)f*Q`s>!~zjH34PK=A|fV>3(a6{`%sCz&Cxm*8q;h4TQS6?6@Etb`o
z(!1!njw?9YRtSjXq#r*HWQ0JYQ`|%iXm0evvD|aU8-1#KGGrg^t&L@&$*;*VF()`S
z?k22_SE?aS^U3Uz_UnXAv+@fmPTyrI*M5}sp7+o{I81xMBj7CExJ@<kjlf46W8Qlk
zRjJW@Li=E%aqd5zObS-3*HD2zf{0VO7}hwwvzw~Zzi*--F~@(g)M2Ww(%a*v_0Ix3
zNfXmEPX2Sf6!T4!70;B3B`9qLt8+A$ZNzW(<XuF$_HDD8^R8-ZW*w5rq!LS@N=ll*
zLl~!R?8b0jl_F-(v(%Syk9F#Pxn(C5TjSag6T@dZ8wUf5l8+1>#s_mr7!w-S)^ptu
zx!p<bPZ@YP7qS0kq`LiNeF%aTra!o*^arD*m>}u5LgC<uH}ArdbwT_T^mZbL8}*xA
zfRg?$ZD)wp$x`fm?fWi)#rN6f2w45|FwD$}=X~!;z{VJb5DdW-qU)ptD$p_l9r~g>
z7s_e_Czd!LTVXQS$W`WXpz>ELpZsKz^vb<0mQEdz@SxCup@n{RcD#GT@W44LDTxcj
zUDcN_U*_@<tia1y22-yZf?HL3EOeg8p(+tjrn}io5*ld?%IUd$L1)YlB!;13eYd|R
z*($nCR9LL(TFznnUmbh>u^ctZ!_!TF0YrLTN85%0B<($RGD|CD-$5s6B8&YH9P@If
zB^PC_)uk~njHd=GECe*N>r>wPy_3)qu6ky8ALrdItM6&~&nk6wb$S0C2BO#G1EM?E
zw%JBW$Z=gzq<;_({ffTHWs|nk$?d^YUJ#d*J=P}~Sc4wK<!HxRbloKOXTw79{Xleq
z3gB)wLG#woF*R}isC{ZBTK5(d3eO<@!-j_@y0byW{-`G|_mzoy;nj3WKF&RV<NG*Y
z(~^_9c@2uRof{$X;g;xBu~y4HgWovhc?!^gNxkS(gN-af5#Z?R>RJKG1qEaqB(f)&
zVXdZ5+;{%y^sSB%wPd%<PNdO_NOVo^gcv)xyI0L#EN!bwNW#}rRdp$BCnV3~MO2Hd
zUc9UNn&rqg`$&nNtqP|6`ub}IweFx|{=cLQHJ8t;VXt}q@qFKi65TvE3T7$paXl3D
z+%kn)6EW$vlx}0bdACP_JdXnPAnPN=S_2o1ZQ^KC^GlyC!z!x58RHKY<H6}45lbO=
zL=(jtbEPb6eI2r?107F~s39jp1y>8d+p)-4Bs#zZ*J)*fUn}SoCZ;WAtampiDs4GO
zDe6Gz)}OD-iKs=`fNHMOJcz%JkN3}$AD?3<GS2ZV*~|zhm{Q=Oo<NP25b`mAz5eH6
zF=6YX3{_V^T41EWAnVtF&p4j#MG0eL(y|xg-m0>CL6dAuooj}UWapMXcx~On#};VB
z(wx6(gzD`^8mtg3^bHOUMSCwvr}52ewCN&^&)Hh<6#l^&xU)VXtapCr%Ryd30E3gs
zTl6t#v9#GykBX%Eamw-4`&1mrxaV=$^3yBdKHFBY&~R}7N}+X=8Ib3XVf*$5iO^0P
z!<nhPlQII3)fRPN48el1zjdyK&wihBydn{8o;?quXhXb64AS0t{{&sy2m%dA$?Ty=
z>XIg~ol|Es<%DIg8W=Er1VyZYWotO5#pNi?iz!a%l-xot(Qt^NwFZy|7cj;HXM|Xr
zOq2~H+Y*uyb;NkUh4*lSxw8OlCo4l#xGM;)6|xVi(V7eKT~k{2G5v3@Fl?5Zu||*h
zi71b=Db@@H-lBG&7za@+Ps{iFxK2TGyzniQV2qyln_r>@#0GA2Z+=C^f6No4%D}H4
zE2~T16PG^MNda;76m46z=w<6T=9^C*JV+y?3Mhs=>Z4#v3WW9x9{;Ena>^2j#St*Z
za+~aUyIVjX>p$*QZcFuB3PnocG&y_T9}DC*Zn!)gUKftg%$<K7K^VQ-p7KcqQ^m{I
zGr4c%7`e%&Jp$|Mc8d1&CC___7W7t(`vfGnNh8Lbh|vPq9R%KbF9g*k=Yz>URtKH_
zYF|#Mn2oq{<qKIEJC^}26)Y)GOuuLV!z{C&fN}i8hY#IR%nE}>B|1uf9Wjvofb!r%
z3w?PwXkh)fZhpIuggC{(Ht{mIz`12W*^XFohdenh6I|l>nJ>S6jFDp^m3VegauaN7
zxqr)qM4Rj<#A<aXPJSVg8DLbbJPi48%-d+le}2|BPH+1?jQFy(7HKkL3H%D|<3FR$
z<RzTghI)=ubwk30oWE>ZItYWpxwk>k<8^tpI)N_wLGSnkU--tvgG+AVB86Xt$#Iq8
znh1Diw{{(GG*J#bxTbpR#m93H<6{m^_pXB;t~U3L+PjCpjxo97VN<0J8A*0VV6Gs|
zgMTvc==Z22c?mZ*Rrr^S-4kd9VZ-Mw2ZVvj4+aQQZWwf4?2{SD^Pf5p3);2jAkRbY
z{oTL$+i$_WjMuE>_4Nhb!+KeLJv}a7Cw1R?2Z37Ie+@-r)*BH+;Kh3&`_Z0$T1Y?x
zbq2biJ%LA6ny6b!Oi=qdG}H1XOB-sv)T0$L$=XENTE{RuIa<W`#hf=Q^j<~S+1-!4
zqRgZXmHfhPXXy-^sV)jYJDaC(1_$*jP1sJdi^*GQ0=4N@{VL~PtaVB_dfTM7D%aYW
z##qx=gzMa(z(XToK&Fi3UMkv770dQJGKc_<+<^$#fU&Gx<9<;ADF-%`yn0QU-~PTm
z-zDq*x7efnGbratf;j_u*Z}nW@v`Fb$-ktgX==Tm#Eh|NucE28S|dBC;SZ-VS2@xS
zNRMc62dj(tq|@^ik+5E-OhKlWgczWe;$%<eNMJs`D`|3e^h;s;tXfH9(;1+%Lw^r9
z@giLqU%w_c9sGI&Q-9X4FpM|-7yTcR)FPG=;nPI4fT@kX2>2Hir6Kjr0WPOO5)|;_
zx>@F-+Xz3%o<cSD>ta?pqO7<FU_I}hqn$&7?J*l$kD?nKmEtd6P|f3zFvLNzz2|o@
zhhw1<5q;f{POj+hTPQXp(mPSYp5;fk>^;dWW8|)p1DGCJQhbKxg#SHqYph}&x4D3p
ztV8f?$S1c#gJSgR=;-;F(C|Lv(t7;RgjVvNf7N1y+omY}<ceHWwc`vww70slgp)ic
zNrCx?pusEP_HMWJDd>Afo~H)4#R$9a!&G1iv5M+;i`k{8+{b^S)S}x$XvM>9F{7=>
z0Nl7gt;?)V#CwwTiV;6FWbe(R6M4ZED;De<6q!QF=^4bwil|$Pv%!%Ae47Vv^Xb_*
zx<+H@bf<C6Xz1zf$BEtl8bQ}cGnQ&#&Wtw-GsXBNl0XxvEu@E*^LS&v9h3BhZvSv=
zy-Tb-_|_(ammLe2?f7ndp-Jo3I$6Ak0w5FTtL|e)71-Bu2c{?bhK5|D$`|n3%rsK2
z|4kMe4lcv@+Fw=gu5Zwqu$9V=Uiur{R9zX5)#8UX(=1+7=DX1f022Y6k4miMM98t_
zz+x4odf0fnH_>H8^Xn38N&RM%aj|53YwO^_-dW>LD1;R}9{*nQ_OEb}QiF9m7|`-@
ztqyd|61G?`m}$1OwDcB~hN10lfm-5Cd$VR#fHa;dJtfO2NHw{{Iel*vReylIB*jBn
z5?ZmIe&wFE4KUkxaPpS-7Cd2n6n%rUTD<tV{Ovo>v05UJ#;h`S4P^oBS^S=ETbr<6
zihVT-9z1m3EOrlHqfx<Fxe;1v63l7|e9;i8mG7HHe@yIeUi8-wRGBtDs%YLoWdkdo
z!{A5~73X}f(7yW^V>Q)ou6BMZKSjZKXz9D-xOIPnS+EQw78Vb3k9Are)q8AC3qLz>
zQc+eedC)D^fGeVsnE*%HmRdqU2^A=Z^%XJ2BOR#T4^k~(Main%G*R0Gm!|~<+8?Ya
zJG$&8-=^F<jGhbs-NxH6LthAXV4fs=#Ubd}bYz81%|jR|5eh`7lSAw6S`~JvHK(C6
z$_;D_CNH<VtjSAwvDKab6G+1;w92YDy=C(7vtJ|NA30rSl8=rgri#4u_sVVWW?NHW
zJovOYF*dYj@<6*4JSbrrG>i->rB<BMKfN`#EY-sqI1VE0k3?M!m;NJ;5tMiS3iq(t
z?{IFX+qC6n74G&+5V2*UbR;=q_hH@uk4)HE8OaBuYt|qDJlRt>vrs<LZC$>(Jma~E
zcZVNxrlqjMq(IMqn>a(79hXtDVDxz%4~wVH({^vGPBN`tgGEp%-l2Kv+2m(&Czj+7
zrP5E107G*hr2d|fl|E<FK1MUy2{r`LQYhw7Nz$^%z0;hive&pcwL7`r)EhVdp?9h@
zWG6J1tdabImgvo4rM*$73%>0HvP@gwZ=(V=1LW!dXhofJV#|`^f;qJCW1VWP#WMeW
z#l*nCtBO;sieX#h5(FEDZyKE1>ug<K|74%q{_z=%v7Ors-3z}vV{Kw1ArYYibPH&i
z>C3j_<~_KAP>isAOxO4k^hTW$6jz9q&EVq$ZrS6pzBs1&aV`aOVLRQ!L0v6wHJc)A
zpVWs(zoQ^;Jk<cw1>#+wSgc1}q%4C+ou6K2x<EwWx<jOhQAQM16Hk7%qyL|q9elQ|
zI_lP#ij#x+NM68d-tqqeEwpNOsRi41gUZW@D_!^klcf$cGvCW3?TP}^%fO0`XimG5
zh;(O^lVaMf)}q`%rPh(BlSLKW6T`*(|Mw=?w4}`)m(3*MRaV4wQ81XYcL`osFeNLx
z;KSQrLl0(@OAEQnAGx{v`Nk*d32gh579W<F27+JrXR)+N$x?6Xhxd`d_o@lfBg+lj
z^1q=Ofktcr(Qcrs27>34;=NOcZk4gO30C8Z-3Ly|HwTThOZiVB5g|W-<KW$FrzoNA
zAKb|@Fz6-A_|`2~-d6@mk6f&By$tmpzy)N1W!v~(J}S8j^iwyApWoXsq|&i6H_sEb
z)?x{NV^+WrVhJc}d4m{${w8qt){o3b1<3Q15ClC2Q~NE~<9eQPQP|pg`i-lKKewi;
zQoLX8N?BfbR@#ziy#)W59|9)+S5n91@^LokS;enBc6`UF(jTO`^JcA=-c_k?{nJ!e
zuPA79AuqWG?Xf*0(G5k^9$P@ZWf2)`1J`sZv7OlI$@T~8yM}fU&13SkePuNF)rfdl
z^fqW;;{y#rPTT&^ln`u{H!3j+?W%lC*r^mxGEXm*mwc%>q#v#EF&Hkn?KuCk{UbFw
z0?j4Nq>4KxfLeROHvFdzqSAO$=eHyhLD_Yx<tS9S69LY<e+-O#r9z7d(;w--N{NbH
z2+R;K>ZhjwC+ee$C((o;vMR|+u$`e>{U?Gqnv7N4w0`0`Do$QPhJA32wYd|~!-mk0
zR$S2Sqx#8m&<T8$$3oWv)yeNi8HV+ksr*`uzJ7M##m8ZdIk7P@dJnci-21TB&a8me
zi^_RExcS;;Yg*sv(Rdz&Euf~>VhWsP4X}1VUqy_TNZ?C}JsV#EnIRevDEF%r?{WPt
zLd8+3b~hltD4vRvUpJ((NK89a_@lJ@n&A+o^b4*RG`BRjF34|UDh0k$sANU}FEbHI
z(!6r-=7*+J+zgH5Fs$Lsx#>X&ob2rD6St>iRwBdH+t-`d?w?mF?{Pm>+eFf*AR$lO
zJ{B6lHMGQg;yp*K%?vaju4xyo?H4L`W4v9EDa4uGH%$GTz%rGkKzL_7NcxQm7F4$X
z5Oqo9%@yLgac|!ADz!gBU$UgW&uPB&g>OJi=b$-EuUo1J@iG4Qy&cU2D8t;qzX|$5
zIlJ%P>v8jmdbFoVz0YyAp|u~P>jv=PI%@cQI}~D&nDX$NDJ7YiZ<*FuSa^`7|G4F%
z7OU<B=`)LkF+-OnU(gGH-VBodBzD)6iPT^Kx{mt!^Jf?3813rvz`F}<@;%iJ4Zi*7
zR-4kzSvSA$ZsJ6}K-&b6Drag6w7IGaw6#$YQi)GeP(Fy5Z*^az;CvJ_@4uE-ll`_v
zeDa2AU8%<Ax1EncY;3R5xcYjt6FwdI@l#$N_a^q=t{QD_-1ztX#y{FQpAR?tV)^V@
zgD(2acrwpbNK8HBxqL!`cb!G<ox_V4l<>V)$Z?5@4Tu%a4*UGOAlt`y3<QKzYvX<E
z^%3zUNe?S$uK9+B6GuO!?^@XZeBLOP86s?G&~6K~>&g{MN~;0k`kW)LaP&zuG%<`y
z@xCnBoaD_e;%P~Qv|{QZ#PmF&yJ4e)ySgIFQYU9eiG0uMb2B=Q+zR8xg<7LSh_2tJ
z!5JnsXN90hz=OC=>Rd~m#08?|Ovy9pD+$`Cp2(7%KYz@E{fH&%?c0yH_aIWNaAfWG
z7Z2qTGLqr?;Vret$5+d2r$3oPS4UKC^SNbe3Cj9HpZ{68sbd-vS@p8>KpdX3DNf+~
z_bh>*H^DD3I6cI|_TcWN?**q0>n*>k{h0wStWGHYh{;7Jpg;lVp2=ib9oR&)(3O=u
z5AeE@w_&5R|C2;bJ8ycB$7<wRXWyg)R}(usy9?wiK~orMcK=37?|Zh{0rZo%3j;0f
zZLtA9c&49d0wrb*E^}X(y7kLjt6%Jwyne8`-Lpr=ZE1MA*AB?qi>6Mpn$sYQ4_6P0
zksQ4ji~w{@0Z!3i_bO;CUm87+S?t}hx=Z5dd5@=Cb7UH`gN@U(^*nQ<XzCBcVr+mc
zqVoRtr_7OU)*MxmujmxP`PNhZmydc>(r>eIPQAFam^J!Gw%ylzUSQ$_FW?BT=qm`G
zFqEKoWP>kUB|tK{O<!SI*5YEkj_EzRw7x0i^vpJl1TvoUyUg_q*XA72Jgf)Xsva=6
z(%#y6v|s1;17JcT9(`xkuF@=o5=<RWxMEJeY%q@hI$|?cm)dqUei`CLjfR0}tN6XN
zG_v8AnqJUs;L{v{-9>BENP8HJMgcl56@Zgr!ilYf8<#NBk;ofCJzeL&@OdTvOVd9H
z*<^>(h_d2*y4Vv9i2-@STkL1x0`2S-pW*xa_wVk;JS91<E6UaL*VoTjSuKJ$hgRed
zipDL_XJ?1Z_Z$A!RGndbuBvV<itACI+-Pq4M<CF^H1gnSIQ|wk?ego__*bGXoD<I~
z(S7I?G8RAb$nq5g;GG1Dj)_E`;(5zE?Rrv~LU+8t$=C&#^Ebx7gDf4T*z%GmWvh&A
zcr<w_ctZsypSy2Po4n7;il5L<ydDuB6OchZ+h3hQ%vXO0^^s|-t$Nugx=mzL_zv78
z91rpF@oj=>ewNz3YFc<LR<23D<p!kvBgR`*8R*H|rl)UFV-@!tNv8ODZs&%F-FrXz
z?zs$qWok-qdsILl1ssSz66PCnsE?f5Pv_n@RC9H2-HMzZy(6z+M3sO+;y@<g+uK`x
zi(w-zK`(xk;ZTZ9v_77>CM2)8WB=h=3*!7e#&cSp@Uv`qjz+!4>M4~uW}YbNi&WRD
zJZ^OdRC?A8^h4YN0+ge=Enx&N`$*q)|B=fz%Q6IV4VhC&E=9wfa*y28$}A*}_ookK
zy}Po~ay+@kJrUB;d63kW`Jek8g6`!v)Jk&jdO^&Vu-CSEEyV8TK&yV)wmz?{L>5~4
z<N3TYEw))UR6Bl`MSftftFn_wt?k_y6Rj8YyD<Cy29aP~hToA&K|z6@p;}KS)KGqe
z&U$pVorv&os`BzdCT`_|cn7rD8#>1mp=Gjcv$s)>-}|C$25t$P)Xk@`y|N#;doTMT
z!|g-36t=;>W#kT8X1WZyn&??$tc<zGJCMT>AJ2QQ>z%^Om8m`fHqs|(i7es@GAn<T
zW<?b3{?)D!>EQ8xd)DU`M|s_50+qq%v9CM_5Iz>6^?a>u_vLy>z#de8kLa&rgUuQS
zb1o$$q~lxVF8e7q;4{M2bt{)KB43Tt?s~hory?but#yW^fwgr$)YW!vbD{d_8s{u?
zE33jXB&kI1H*-IxElfvk-tem9SQ-0%X}ZK-QP(kGhmDTvqb%fG5`kW}|JX!6>rF)P
zr?*(Rex|agR!f$+4WqrJ+xWy?zbRV;q4gOat(WmXYv__6yw+183$dApv(HKN4As-f
zVN~^JZ<e<4r@s$v86BIpfzGuIepwsO{Vb7wx|GhxmnH$$3^dkZ{l^<BW%<)GS}{v-
zpiMON)Y!2xXRoZ34SK{g)c}$I`w3ecztp*f1>5Vqor-oeEBolWC+X13p>N*k=HA;n
zClYeMzCKl7Ek;AB`3CS*S@PLORk9I0$G1_$<Q)P<QS7uk%zR|@s~akv#4@+^I=aDX
zq-tc8QeiXHHRtVw(bS9>ZwVQ=%t5|&56;a0d~c?$#S_>3g5gw5Z%Psu{X~eA_HmAJ
z$z=EiGe-ZDQm|?$nGoXR$3XbC8~t%FMC^#&nfU6Pq=Mmw(r^-wmDqIZW<DlBUJ~29
zc>2L&%Arxx!1Z>?q(p9cx~MomaVcb#6`#PqA*Uk-?mVe1Jt8zzJ1D$n$jLK^Vx}&~
zx%?DtYRGCr-#HR(@maZ<7$ug9(a<WNpzAgg5u`xuW3H>i8ZJ+t>YuD^Z8-)0`ISkX
z&~A3acW>>!t-i90OIdbyHdTuE{o(*>w%H3%bz}sU?O5<?Qktt*x7kh&U+oE5r+>BR
ziC?d@SnF*y6Apa}($kfx*Y|e-A1bn(xZ$x;<gqgGfb>H<qvtF(wWv*;M)&W<W5{%F
zLev1ZtZjQS0kL?^bgQuoV<D9?*I9=u7$<v5(nRo0HxXPcXdgnzyPx(+e@N&mHFtQp
zakhDW=2*KsY#g7TDDt*bO1aq>E|*3(^HF|sCyK!RMDxzEUp(sr9E593r~U6MEz;8Q
zq8Y9~iOS9e2jDw}1qhv1%@&Fc@w(UdR$9N}S{$-U9L=Ad{25I4!qJ4d&2+YZkDl4*
zn<imQtRA`Y*$2CuKmJ7HGmPtxr_0xq3qgrFfUkEEPec?L#-X1j!1ZJGGJ=RRFqh(B
ze?%#}AAU|%AqCsV^is*Id-2TKTXZ2WW~oP?JJ@`EC(@eZPy=B>-d?hJ2l&wEe+s)i
zp@P!nDB+whYGzYQG>s4)Xr?3h`T#7g5FkZHcLJg~o$^^`g%IWQv(xz6_zmhFVDNuH
zd0jmeOhli=V72ZJ)l!G}rb=JaHwrd7pFvyxK!&Z)kW(B3?a5yB+%xoXo70n^3uXwW
z1{4_e(Js7Am>^0nfV|{PKu|8QWP*(p7kxEpFDLT%N^j}iU&h@vXQf7T2>yj+^AzY8
z{)U(|8!`KbM{VH}2f^&lFLJ^nBdd9aYd(N}S5oE{m3q&QQafT2%h3-TleNp51{L%G
zz<DBXm7^pfPE~};qwUwED0B8*LTb3>(xPFg;cma0KxbDxZ#<5WntgC+hLoG?;VxK%
zs>nA&7MS|4T)ASiO!u>dv``8JGl$rqXlX$Dw=umI<7AzR;t;ogH}DQF1X||$vw62S
zo&8WF+5PgzpXc`GyFk3H_9lnzrPJOnj1fKtr?soxW5`4P?*65d^~aZ_F>QqGC3T-I
zZg&T9U)d|UR(o_?Iw@NAVD@<z1+^bm(rOF2l;yC*Zlm=82O<F4UN@<}2C9xT&462y
zC%!MnWPw<k{k@ET|H-y|uG%e*4;=ecNtj#8bJG;^G*_?Y7HVGX36OPE6Urjnwb|d8
z+Mbv>Gw5wteM_U1V<@J?XT$df@<<=W|C9+!W}AHphs#eQZ;c$!kaf#{CaI^iVCT(~
zYV|d~^v65D-W-J+gcVi3+i*)Gl?5}f=_lhvrqO!$^}9Z^buO?O{E_LhUB@CrxfvDM
zn0yD!Ez@+o!Z(#27-FByZ5$;s^@sXhq_ye^a>G-bkx&jPBccd$Zl0$i4qGONAaj#?
z1KLal57~dp&53x|&l2am8_gzQu;3#PNcvj)N+-ovA*F&?#QiSnT}aK>$|b0$l|#Q;
z_k8!KI7!z+@(T)7uZ0^MUHxQyRc+l6CC+nipTUm<+n>2vcjinuW(^0=kSRdHX!OFv
z3g$;Pk3Usv|Ju&^T{A4~mpM(h>SC=U^4n*#@m_Fps~zPpdl__y3#sMps-UF4G|7SY
z+L&A-k4%Z(Vzn)oOP^;Fh_jYAFdz*<!s%qgSdQgTM7VN-rTg^|urOBQRUcPfdxxga
zYISDk$Bv%0nU!l%b~YOl{ca9o1{b6h{UIp#pc8IUStnyv<k~dHeQ(BnM^RA~5MceN
z@SYxZwL62NgD(#TFWVG`Ce5`Yee>5ZqEdFc9(!|NElXCg*aE0m!05~+&~)(r`kPd)
z&I^tMcd6`Oi=5W`c-wUU5uOVtoZ}MmdD%jKu-FzOahvXOk(yE@Lp;K%JOnK-`<`3(
zuNl&wa?^xLFltwh5d8$9k{rxG?sHFc^Gt9P^^MsBp5FsaN<8QR)SSIUsGa+i`ft|c
z3~gUiXU?5D+WgWlIed^^J*28my_iY2C`_tn9OPm;LtXwC$<o;drbGqep2pAH-d?v{
zFx);H$T(v|=9qk$fBz0OQD^c2vKprrY-1$k2PD`@H$l{`Mc=d{wqaeYJf9GkN1<`m
zdhmjoyLr`{f!QQC=m1U;88-4l2;r8m3?8uk26@@pgIS0=)UiR@LLb%gUGrE3dyNbe
zGA>p1(p8x@XVXTbwpC0-hUnv`?B!b0)z;SAm96&fPADZFP?%^EB#!MElwBg<B7{e2
zRr4>OZT2q8&_$EsC}2*6e^DSYbM#4z%LY#X6N4x9x@~=-^fO{SPvp6ahoL6qP?~H3
z_n+KZeMmk%U2#~X!v3M${I)8A8;`MW*nJ?6893x#axySr$-G6UX=Hk7tBu7un1`{u
zI4zua{$PG?(GkV`-2t@<cc~K#d?tli84vl^B~-?<4Au{Q`qrs;<H}XMIbLvCu{&Mt
z0<X|)Bf4g1y%E!r5FIdu#((|2yV`c=XDPpG_|CdEm%kULsls}o?LCP@J!20oOlc30
z5+__yl!TttnjLcN&w0NcwD(2#la0W>$@w|=2e$DbP)U(*;X~u_iRzMA5IRK>OH*Ok
zPMXEm<H{4>*H5mn?Q3q>kXx@3Ygb$mL{c->;i7O*`i>J5@Dz^;r4OpqhFYcxz0xz%
zF<)I>HsQ%S<(5md3~dltr<Yyu<A?S_E1E-B9aiHlVgn=ekcmg9$zy#rf|nDVA3X_A
z<5|ut7I~+@TkBr3D-2EMcEBIt?s!WTe-L@%D8%u4;wxO{mEaU|i7d1S<Qa57ut}>3
zC<$T%Jjf(K@Lu$w(O{U~f%ls6>V*4hQWZyF;}f32(Iy&}MnKyRr#AgKkM}nzd$Q-c
z2I%m3ff{yb+%-rRvrmz0Ap83oCgEmj_)!~kJs+Y1)NqULmn$YX@QS~3^{_wvb~wQ{
zXkMysaJ6vKW%ybc69egz)mtw`Xeje7`?u^aMT>FPu%!d9j(Fq2&C3K?gK790oynES
zq%$hbZs;dU>rz!k$>;}~Osq@UdKD|hzTdwQh`Ky$|6rp+dprjBpeNJK1xP>3zD;xJ
zc4z!Vnv+v0{#H#V0-a_u60QD1(&(3<*xtzCwq?VvCX;x^f1h7$fRU+t`fq&PWlN(g
zHZS6z?N51J6w0wzLF(lr2z_w*)r#k~)sx_37y`f086I)_*k72exB?X<m$GZT-d7O~
zU15)@J!Ew|ASg|DW-4+Bl9(492aEX-_hy~funeY__7gZ)@|@y^yZ%anM&K!~Q{=cL
z-F*VQn)K$vry_(IUQecI@9H~i@)#>3`P13@g$9-T&3i|P+XMbv1)})Y-Lgn(NKlaj
za|sFk;Tu+<>J9LP_1^pY*c#b--PLJPzR61!_T18`tcS-}dBtJkAii?2LyTXyqs8#p
z2XT3hG(h;Zy)==Cz{7^Tga+r?u$P@Q{c|4VPBL(C{w0?wk~?t+b`=l^TP^FfSp9Z9
z*OqFnN;GQ;>4bZoQ%6Uqa(^~^f97mYd<@)QX@DT?)fF=`?SPa@uQbcP@#O-X7dqA-
zJv*yZA@S<`Os3Z-n7k?FNCJ3fjAOVn{1UU)tzZ1^e(^CFp+YPahu~X!FF<`@MFe6e
zCnw$`_NV03)Z8yg7!CFY75$g0hC5wg+b7^TDcUC!e2NLUM=tU7<K4w#sa$(wf>_zu
zM^n>}>Rcn@z$3SyQM5snM3ey%|Bt5@q0XM3H3gp_Rc;&L^?Y`>*RCdIQ2Rf^334a8
zH>`@{XWkk=A>@|*6d56Eug*y=$<@1cIEtxa|Dtvu+UDjP_hAM^j0cKgR6qaV1YC0~
zC4_Z9Mb=$po}O)%45j3vX1=f&J8o4?Y|C8E!S<xP`JQ+yWx0LYWXQ3$E#Aw%I@jg*
zmOn^s`4TaoXk|VlxX&b#QN-~589v_i<mSSE{Y0w=W4qksS02t7jQ49mihh@MC+N~x
zsHum08yspEt|E4%o)l5Fi}SN8j%wEd5PP5oA7Ru~ln&Rx>`Qx2b1m=as*eXrpds(^
zb}gzCZ~5B^0_C`J3iP}okbzQP>}6&{OA?^tjn6ngS+co0^+QK>s_p>9sm+z}gFY^F
zkE>*MqIn7hI&jp&dO@6=z;f%F-BYnp1yg5dXJPXWQVZj7-C3uHsCR8ewQ#O%IEXm8
z1zP|<Bj2LKPO++uYW(@i@ZZ|EU=7nDKe^c!3wSSTzn#5S$c`PazjsMwRam8Z8dhI#
zuYRE9tTW+<df>$P!75@?J2CFt06@_!11e3Y{-sEUJc^i1!uSFAqfdjWm}HLj?SI_d
z#6yv(B|Sts0I%!0&Ejwnr_Fssu5&Lqlzoxd#&ReFyapjz-7X&f_TVZ#r|~>bm2gLU
z?(Rj~%a*A+rA%<%u>6JV=_MJJQB`Ce9lY_3)fqpoI$Rl-cldnNuWo1@l?+==23gv2
zh4zr+8-f0P(vPJkb2b+mV`JH+zK+tVJtBCD=)B-vljEsMFYO5oQM~FA8t#lgQ!(Ev
z3F22jy(TbJT$8{<!%*Os8Fu}6Sp;36zG(Q=PO#nE)shmA_?N6%2DPDB9L&Yd{tLuG
z^Y(1BJg7$}NvvKM7sgjUDZe34G8Y10(t#|T%JWDepFaxd*Qz`V-B)VIueQ*w&QZ7B
z60eB=Pa&~FM5~s0qd(-BOy5Wj4@Nu340GQkbt*yfwmD#B&ZwgT5=lFH1mG?hW>3OQ
zNeZdld*KED*AJ;{Ru{T94)_B{G=7$b^^|TjMJyUN-S}!Ji6?>lUn=qGJ19-|5}S7J
z!{s0M?bBff?uwhc-rg_&m;>*C8NMGQF;D$(V|0Nnf5-8gazfhEj&N&o`KNpentY(W
zMn1%mwd?GF4m)jI#$DAhV(5mbYRIm`(o<i|b6Cg};N7NNLy7{?bR1Yu`9?KpbCj$j
zEM9~jvdvb*w)DGEv6du2>gjVUAueGx3uE@EPR%L>bNJP>ESzl?A4T|d8NZ+?7H!8A
z<<_9yG~@EXSh&dIY3;nxQZmM*#_5Y|*~xov<_h-5TCB-4mEnjzCqM}nO*$x@gdID2
zWQjhS=J_8(4-M4>_h^mC2z^~$R!~C3*FIfRwY1Dda$Suoo-iZV6Tpof*QzI3KtqoD
zYl-Z7epuj58j>mwIozTteWnQ#7`Yy6EE<Z3g*pmH7ZmVFx~;?&L0gVQ#ZgmJtL8Cx
zL8kr6P$@>q8dU4h$toZLoLr&jwoimT4WJid`O#BBXt|X-t)hkBY!jA1@k$2koJ-v#
zL~{7KfJ5wL>{0Brf5WFl!cB?+Hf6(=?|prVpFW=%z4be?mIO3r=;+t{{D1IiLV78^
z{{DWhVFMMR=jchbfYk>Z3%wtr1D-XmB)wDKSAAtyrhLH-G%|KGO(qQfC(gynS$5EC
zPQsk-0)?;}qU<iR^!@KMMk<GX-CgkeA7dGj&q+s^UW;(m<qmk80*VfV2Wrmxmsn1_
zct0t_%c*+zOPFA(S7E75+7m=$<ycXU0v&NN!i|!{zYC>Qt6y{|?n}A6D=WKOqGaF4
zTneI|PN?5(5&>=h&%ek7X<1yc7Gkh<mv2AiE5}QaUSjU*?q-*kPFI`3-uCEp@J0^G
zek7UkA5QeN;GOn5Q$dwR1fF|kvs}S|<h;W@9+!|XuKz*$tHZr-d=P_RDvmvFIvO4(
zj@;+N>-<s0INzT*+RfzVsMA`E(GlR(1LyU@vd+T70tqo%%V7R`V0R5Fu?oDk%pBCS
z+wfA7LJKEbi{267nRx+Ho6C0;A#I8ccnL^`^i8a14d)bjLSCX?9y$qTN{nyca$I|E
ze4Ph}_7B31N%Bbo-~)ZW`*(UN*C;#+4rOqp#61zO`{|0UHiLLGxpi}u0hlVwl6k6l
z{+wA%%m8^^2_BwxUDg#f`(L66+zQLPKL4#BeommH0b?xPz*z<VuJY@s=zG_zl0)(~
zzypH>3jw%kuxOBEq7dM$yauqKFgOhXI*lGKHa32Swj4qd^)xlL8TT^Gv>>By*&C;g
zsYil-8pyL+NT*_#kQjaJ+W>F7nSF>r;_}nTA2l*}-ClLlt-f8VR(8H$S@rGwWFfwv
zHUF>5CgNAKx!T~pYg4!nx(Aaph^*@Z+=1xZm2&6MUC{jg7XN%0UX~a_eRc8`F}3h*
zzy11|POwyRL#;8$0FfpW_CCP4^-<!%<H1h8*(?6foRzQI|G=3}x?b`8rnB+BqI6L5
z<yJ}-qQJ@ouyC*=kjS?;lxm(e&T-dzI(kJ`e*JpvR!3WI)zg6_W+XH)Pa+-k^sNB3
znQ0+nyI@B04$1o*YGSK*q^@VzGHofgywDxF`DobY|6~D>{#>y+Rj1oGQzUHXsPZOn
zDf0q$w%LL!q3<tPp&u&B^3ztuA}=?5panObciS`h0CG>v!;p89!|NPRi}rr*_LefG
zk!thlDCiki+2yC}C}c9P?4{`4it{q%lRK9fv(JD=d@q0QF~&Ez`AGU=nb*0s{nLp%
z!5upQt&o~X&;`==!B5NUFc56-XYYC8Y#LT>M$f(&9k7YO+#92%3lCK@7lXnV4Mpmd
zpL8rVny%4)-sx8ZrSMe?k?@T#bln~Cobr0#Q$*jCV+2lpOv{xs^WkpQVDC6q$;1Y<
zH$r94`IN85=kbfMy7wmQ=}C9acR%^ZBUY8M9mxD1d|SFfN}ce{`GDX<)2I3kDJib}
zoK6t?KZ1`r6MefD{t^!%Svb4PiHrmP7%t}6@Oe;PxzdTexJzQ$UNeC>W{%-slc?QW
zct>4sPXRPkI>wBavrg2nNfQ^PW|`PoSmd4L(>UvTU%*h?1UjE}+WA(4Biuj_N(*J@
z{Il%6R%ZGfD;GWcNGDRlp9MW%O;XL~6u>hduT+LOu0EMVR+Zk{_MZJ;a`*lGnw~+V
z^ESi~@i>}ysA*~@AnDDy;21FE0d$&tiyp4-8EW3D!EU_YZ+Q~gFNqCYd!E`Y9UHT<
zi|(EV(^zHsjCV3olPmaXLP!|-`(%!bw*L}|@b;ASF2nw=E;6px1R^2Va%u5&9h5f(
zK3frE`x@d?=1swyu+JVsX<J{o(7Jd?94Nl@L9KF`DVZMul1p=EX^AK-8x7xzsXD0!
zv2VJs^KUxNGw@}!B#PgR_%g($UcbVDEB5hLtIpNO;mMU=91pAcke5+<Qew}ai+JAi
z8KWWJQbnciUFm9TY=Z}{=wUPH_wTIqnmmyRUjq$CsKB$JO?an`u&^+V<%r)*DduHL
zpp}IMUXY{H=enyzvQYse<TVYJi<KJYEy~UHcwA45g71ffrvdc%)##yEyYNha!o#gk
z_HSBZz_LN`kcfgf+)ON7!MYBu!~-R)40z1cgmE`Fp~(L=`5g!aI*u%;So-Bxy__Ov
zF$YNbT0-DbDM&pJmt@cLHJy!lUI@dh`fAiu#WY~h`;muxn}M^j*QY-mf3Oy-RPjDS
zY|k(?=Qz$#aaQ%KAzy4Wf~IO?PHNFG0bd~$;sJS(6g4EgDjlUnrTXvf4g{mUd#u_b
zE8ZohE}@+e6_u%8f_TcVtRa*0QtI&l5%=~DJWoz26CM!+#tW?QdY%;SJM7+1i*A`{
zh%DB${W7Y4Lpl!eA{|I%Rl*mu%`}T~B?O))pSAteXaIyXMl_6lF9q<Df-VRZc`aI<
zMQU|>RQ|+fLu-T{8*s8s_GZCEemdGL>NnSXV)*SC3LRJi8-iTCW(ACM3dWCAHd9vq
zxmXVT+ul#i(6!XBqN93RaX<9^#dk`EJs}^OR)_JvoWol|R+HU^dY9lG>DZh9L6SV7
zgyN166r8Q60yuVdWT{P*8s9WWFIl&XQBhZq1H->uZvt&wSlg`<kWBNG^U&?cgASx|
zTOx#Fy6XG0zb%^pm#=7#Wkt&H7^2$Cw>)rVf3Yh4e?+}^Jk|gEKaQ6|3X#fIkz|FC
zElO4q**hzH?_Jq5vRBH=CdXb;WM}V{k?f3P9OHLA_5OZ-w_E?^ob!A>=5^h#`~7}}
zzeh^BhrpP$Np3<eT`B|_LH3;+g)hyM?(4x0Mx&-}6Ni3U_ebyDs%!y>mk~<oLD^M;
zHrqjr>#!%}4)($8`>TrE_h53QML>>`*#llq84|;ItxLcvNp%B9+6J3=%NzP<47fh1
z|L@*v%wb3RK)4Vi_jc$x&0n{0+2fNFYej~u3ree~@Kle-8T!bVS&X{?I)9#BZo5QC
zz*IK-&H}v2mcQ}U8yrw_8+;3DVZDwSQe$s**Csa1#UVWXx=JN_9%({)mz(uV)z#O|
zdJW^T0<14OWMMnfBH${$hsYQofk%yqF4xx1;?wWhL>+(MOb<K#T#fwZ@q_TC7T_r`
zgetOwsB@>=*f+y=5bh-iH#0q)4Pq_JQnu2@2krQchh5GBbYASS=NR;U$*$Gyvl7>c
zUO3A8yXZ3NA`W3(N<8zeud%K`urssP;Op@F&@4yTvA8IuwtIK+8cc2j*czZQH;nO8
zr1iS{Sot-zG7Gl$eHRqpSJdcGuu3;SC#a3Qq3?f*`|h@)b6t~Ty;yQdL|CBO;_;%u
z=n-7TBnS@$``(Y$kM{WU*HnIdbUYYqXID{e|BA96W_dGu|Me^S<(N@<KI8Tg(H2rZ
z5lz`e&y{N1+=7?|M|gr$2B^`UQmdld&*AE%xIenf!`ts-I8@$~k-PI~t-mDyQhz=|
z)I?HH@<h^v%J9e-8w;Ep6}N}tgPH}^fymy4=|>U&#zS5Q@nsFsH)PU!s%LVjK59rp
z!y=TQFu|RfWVm}+Ma^&b2twT$&7V-^|M8Z9Y`N;>oAf#;N84KIye*V7dYL+N^a;a8
zD_K%9D--EfKmlcw3|W?~Q!Td`J{$wCaM0~(r!m;-7c2~X_G%x+H}1F>6C4!u+^N^m
z_My+0FJEG$np;La+H0&RJW`>}q1}tu{o~aVCYLtm5cKC1fzHxO4CS>R>Gk@1NcXVy
z4y95~YZTVp{mPIPG-mhX?VaEA^FKiS79(%<rK{{flGV@PYS=K+&_Gq&QF(2uyy_xy
z+v9*PTEM0yQP|N(?BIa%;KzCU{3pg436H81X32`L)d9>>1wJ_o0I*;Er1h1v?OPDp
z0uu0CDANy7<!Z+J0;)Zq9@3f5)@d{Xyc3skNMz!LzA~YK!i+eOnh{Vsb;b7Kb(GF`
z@^`o{ZW$c5wv%gr?9xST*br7Dnj(Pg9=~hpDo*mh#@$(Fxw~E9c?ZGuJQA@?21JBC
zENX>u^#U&H`->T<gfPBh<(`YYijGbLJ%%IJ#o@^Cw8F@9=38YE_(W#6`-_6#10(#d
z?{@;r5t&;{=O&yISGZJPtM34xqpVwY)8He7>7&o)3@b;agR6+@Vedj8;tP&?Va{TE
zSA982aJG`H>)!!Z^;uYtdik}U#C0S}02y!uS3uL(g5kw1szigZhSC`7o~a^q(q*mx
zI);$27w(oktn2&OdQdD#@Bq>F)<yvpexRUnA4tD*EsdF&W7mCU70YPCl{O`CKZajJ
zS9JBD9O#OW^q2@vkBv}r%`sdYk`hoZ=X&Y~QbzGB##Cv<i+N(!Dqg#E@t?b9)SN1N
zgQ@G_()2A2p15-xA}kH+U&IMmmU((UKoM}EUtTl@GM&5xp4g$;po_BWYGXr;+gl#4
zu2n-+6wBYZ1XS=<6175`d@p=7&<2MI#M1rq9rZ=@QfjLZtgDUNu&&ns>aQe=VR3gu
zrkMLm(fD2Y3%1xs&N+VtcEOj_Mf~pDn9_cRJ`%ZYTE6wiuYZVupU&N!^N*<XSvfI&
z3URT^|GC9)K<mXCjVM*}p#x$s2eDP4G#g9H%d4_W&Kh4C=FHOttI1j*Uu}WALvD`d
zz0))71w4w)rfCGrCnRyyru_NeKUW}p-`uz3x5Tnw<2yy2XPIX<T6U19;afiN9{8%C
z8>!S<&dk|G#;_g^GOpSisDyg1``--l5(@=kc@BD%Geokci$D}-^DaAk?B2Au?&IGw
z($cf(_qpjIzad8A&Y2G-ZRpEBktvWMPrl96+s?1hXRA#0-YR=>g)+e3!qo{SO`k`l
z(z}EKH8Q1kzqSwaRiel+8bOt+OW#@Pn!-iI=1V%m_6L!6m@1o`&1r!D$|c^H9(+Q^
zLE{MVtuvst?tA;ij?d_^Z2c9^;o;@|r{ZYx;Zh#4eEqXr_T{)>d6R-@a>6ve<aECL
z@iAxW!`C&>JKxTlUBQe!@C{#46K{>;|7fBgfdR^Q44|-TdAU=LJ7ltJF8V4U0AiR)
zf)li!-^v0-gInw&^y())>L^ds$!fH^?!LL`$o;u;orA~ytZvh}!^yY%Tu8^>Qfwlw
zk*Zp@es+ApquYRsW)o%1mO+&fc-ZeikG~RT9{Gmu&Pep|S_faHpDygl+DI&#RF~Ng
z#nRo3J_*cnS$bZBkXhx$5T_mBMN3r_Cq{&VX<6JBH~$z{xS@CspY>FJ?81#ca8!vw
z{BzbPYhw6S5jX<6w@i7J_1fPfYkkPO>dKAm19t5098WOOv!fyq%Ykk(Mu=(2V(_t9
zyzxU4&XsQ#JnW8<xTv+ff|A^iQhj{h`D}BqZa>R1kn}_>DFc|1c8uT+RO_@@s99Kn
z2D6-F-qyx)mGEKY;gjGHu4xS@u)pb>S5&XDHu#cmf5ZE<=ECEkI`ibhb)m&QMF*YJ
zVhQu9NJ8b7EagLu{NFEwsEiFs7C@W#)9oRZ-R9hXqH=(Qil>+RUJC)895S`rOU0H?
zZ~H_~AjVfscz6uPg2tU$8;Cy=Sv6}}O>M*Kd$f9{UqV!c^SeQ=5xmwDuGK`UL^<`k
z&kxUkBVW{i#Z45KJ{ivNb`Wry(xZmcz0-j<+b7F2!bqNnpsd0MUt=qMu+T2UMY<dS
zF(_we+Llsst5l9c51H&MaVc@p?`E@@0$!zg=?ylZ4%Bo&fLYBIWVZBI&fOqIE_qW@
z*oB`m^uMX$ne&d&5LqU}wl4*#c2q!?@9BOt;&uspf3pRfZG`L=+J5q_u>L-#yXemi
z={Gw!C+inXKa02*udnTj7~H0&qbt&Se^cOUZ1LYWjZ<&YFGVSCT6PVME2fY*vCbM?
zwF=iwNlY~ReCO<RqleRtn20jTf(rXlnRw+7|C^Tef*Hz!(o1~(M}xoIBbi%vj`=cV
z{?>E0^JHgAXnSJNF^Hk38#w!|ez-C50A*<{BPFHqRfvAXhQRDS{nCR$#2(w=DUl+A
z7D<D<)^O;$5mHLnKzKymY9*OYq&^BJCMKG7d6>%94A<hRs<wUX%UpIg@_&G0g{XUT
zqDO3mULVgDYS$nc{W<Y4z3U|1&}&EmoHYt!$Ensi4HnJI=USrfquV&iT39Lfj=-Ae
zg*c)6AH<^m42)k=cNBz)mkMn6qq~8h8ANw}k%C9$Y&BoQKFLED{WY{+Cb<{jlW+eS
zZSW`{wXbBQa%|(O=)n7q_*BdHPY|(BI|Q{cg3qY0HhXaymmVMPDm~Bb6sgiD@{=&?
z5!wzFQ1fp#FMijOS~=>>SKmzhz_`13qh*$3mBpZHOpExY%On&-?@Hm<Mt$ui_$Cal
zQsC)e1P-b%*<J;Fuir%crh1UGZuMu$tR(Ke=I<Sf%lv3g*|-&LmJy7fR(@(hVLELf
zmrnItb$jT%qTxRUWf5ut2dOHo@1fUl!aWTGkKhU&5R9$4F%+MYG#*^4CfT}5J*-#i
z*FRG!0v*#R9@u=iU=Xx{AQLC@9}@oj3~tf?c>14>5ph??`=Qi_J3~Jn{60jwKxo-C
zy~F<~ouJg38lAC$YT)!n?dv!l<|M0~)_NTM#X}(a5F;1xK!Fm&Lm&1>lMfSmHt~HC
zDZ?6_K~Oa>4{=oCt@XTPvo(oBf4--9Ws-1Tn;W^DdAP$z#Mg-0J^Y{GH@5P`2A2$n
z^#4?oT<1OdO-iZrq>`;{_0gdQzq3V+T=IkG;3;8}j>`e(Poxh9sc3oTA29HdHG2Jp
zpeIIZ1N7t?k6UDpV)#roZD(Ji<~R1$Cg0dZKcGh7J*Z<MvFEkE-?S*g*)esV?*D}L
zrgYRRFlFfOt%(@B$EySfb9ARU&kU%-(#yGw&sz47;oC^A;Rfb6VF;+(nR&1Lxfd<H
zE2>+mIaU#-;NE}5bc0T{JQ5ej7osx~$pp{$!;41O757Kyul$J}lJ=|5kfQqa5+O43
zfwgoE!F{?pew=A*;TssP-FG<xt>salZwVyfywut{TBsV@YJ;a_P)Ng)_Z<HH)!Iw)
zL+SGCPW5D?k-X7<MY-%I=05)qz+3$Pi@DX&jV7Xo9YNf`Q4!Q*H3b*f9&@v@F(A+G
z5(<Z?!P0@AD%l+&RVZt84vL(QUczK$m~|jHz7MVtVk;qi=us|9P|GhW(cYu`Q)JG+
z_ixlhNlf`gB(jrgjE2i9HKWI*CbUsMntv#GjS01j)SW7HQ*!>%FG)A=W2YXXcknk4
zpt!YM>(K1B!I@z2*e?J-IUTxw|A3w%=PnnKJfU2F!Xy_@zj-Y@zGu_!e^Y`)@VJg5
z{h7G;qNkG5`C69;MC7ux2A{KQRnmjoLM%ApKPI9Tx&!FQT~@|l;*bZo1B9qN(hkz~
zyiyxxN?O{&mkRwuW0}oA+Toc`Bw!h8?`P}nh}!vAIfxv!FB96Grd726?I#~=KmC0&
zWv9I1WVhH!fl!<qi=1t2ieD%z57ux%ff??Lo1mBZf_UeUh*I`ey6r68ND*vaPvl;6
zYuxvP5%~jbN+$tDl_hDUfMRf`?~Qx;^P6F#J8&M+dt=6@Uqn*{-)Fyi<x0*llw@OC
zxhCGw>5*(ALE4grr05T!wl|2u_@*aLGSU9Y^-{dk8#XP5;k%jAIgSL7Z^%DYeq4Ob
zb9sOnL<GZ=AGhd#^6>DOiBhEj?TiKR>M~@zYjfxOAO<l~jSnFf!~6P|cjMOP&}%sf
z`+Vk4zZe+{QDz>%etn^;n)hH3jn0B-n%8O~=TUuG*}&AedMdI2EFg+3rywVE<MzE(
z#kkd6PBwPCiF&0wD6XrdQ+D#kjT>W_e4{K7<RX9^v+e)ewuv%OL3#1IcA5ph){3i@
zOI_WxUpqP~hCjAS0f1@7J9nfKj1!7Rw`nh5PLFMbR&Z-oVgEWmAmxi1o04KaQnlTF
z>CqUS3`-3Uxp+AmTGgV9o%!c4Q8GZE%pB**A&!NGh4v}R*GS9+3}FP8AXgt+xrzft
zEr7RYztE<>yZiOw?&*ZB#+lH~a_qhlOPGvJ*O1c0z2Vnt1`&um<fu9o@7sR^^$h2J
zPbt~;5cg}oMJn?$Ug=ZD)w*%7@_I}3ZqYyinD8pALUy%n<wf+`gV8XhSrP+tg6u}{
zX~1<KBw4Pke6V}r(j}A=VG-mak-+0v+Wcl^SU#<HpZilY*|@sKUDxtT#dS~pkoU?1
zYV9h+a%6_CYoC3iD82sx+2(atD9~#W7U;l53UOhuUsSKKN*N2_ogN0OsNKsqFFhn8
zB+Mgsbm2zq-9ssPWY#>BHf9A8pR)UY;Jm`Tb8$UWfeOp)C0aI(HfkX$!rVMT;N~;h
zn$LOVq5NdGRpCbSdi2%99Hgpt(7t^^=E|2v(A?&XemO|>-$0~#I^8-hv*&Dg?z=V%
z9Kab&UkvPN!Q$3w6Zf=ts&}WYdqW)ZeqOa3MoIJTU2f7))#?i90)=cQ2-`~yT8W_J
zW}pUXMLDG%SRX8K3n3N(jw_PaKJoUOJcMJ;9L|fOADh*xWG<G4CHzAvx8H?_+jL5f
zO&kE1%JFBu^>n>iLp7vr%f$&i>Fn(6D&>O+;}Gz=3n&T(B-N$9t#Eohzj<&IxB+y&
zgMx&Hzu$cs!)t+BCzWK2dB;d}kg#cI&aA){%<vHDGv8){3r9Y4v<Qqx`U+7UD-mpY
zRgmVq<{xU3Yc}alO}%^LQfJ9U>%J?EuK%(6H9rhyPp6LUc|Noh`nr&I@$5oDs;hFZ
zH$)!JBtg&Lq7Pc*Ln5ZnxoYJ@%R}oD@J)g;EgtZ3rX7{Pz>EE6dngF}rH-jstiND#
z4@=?BfYYtHOQ|;%UMMoB9Y+>;3U!vyCZuMu%}L$<M!}ggH#Y~}5ZlejN1CkwB@5Os
zAalqgzxM{&g_IBo@nJO;P07yC^hY_HR(VZ3Zxx64W!hKv3u5=uz->JN4i<Kkj>GB&
zr_dAZJsz!#7=&EkDNxEXorszvz{jh(D>YFq7FSD(p1Wbdkh>rvoP4OXYQpkD?QHvf
z^C8xSpBV@(0W3FVt*i>&w4h7JgcoLw%c%XzAMnv;NouTyp~rzsL!j~eglbL5k{ZwX
z-jelNUiGm@yj|2Cfy6{Xj0_Av09RmylQIRTHN6A~5acuexvHHYrAc~hlgl4WxJ=%a
zDMa*s)-^A$yqbGqNfro6KkPTw`ni@ycwbDNY&;|-?VO}$yMx?OP@_H3?fUJ{T1=^>
z4JA?DM1$uU|E)y4sbloT0_cP&(ic5w)vfI*XD1JJPPc5y_Q3jXp4Kg89SdlW>vIa1
zDrP$V@M%PMj7mFF3c$==uxD)!D1{x0MNk<8llt_-!F3ElZOxsIpVTV?(flgIZ}BlK
zziE)GcIFn$oCueK?@;Hb)(*o_Nlyn>DEjfVp_kNrTOyHm=bMPP>*@6;4J&?Zi)t0R
z(F~l=*^Uc0R!NXw7yy!Vq3oNqy4Pogl(iWOOHF|?Q|A6B{2T(YXnlmGMURbSukIuw
zbd&L7VQqPBf`nfvP3~82&6M3YrI`5mRoUyT;ms-HE#1Jm`-iqm+g{G@*?UvWPZmZ+
z$=y%<u~)%D3G@p7@IKc5eS3n6S}I0dtpa8v?*g8dWFZ6(5bHx>?mwdp&kt!E9Nke-
zT%Hd3<^k~^4IItbprWX#uFeeCh`4IL$h}ISVn_Nk<6eK?tnX0Un}A#Tv|}=achNlW
z;w4kiz4;?$*agT|`k?s;!KF(v#l`m!D(m$Fm0^|cvu<mfiZ~bBXPbOENr}2~Ihs$;
zaAL1x>5Ut0nRX5<Or?fxq~LR>%)Pw7??TRW2;DKCzqb5#v_*D+D41|P-oUH)%^5OK
zURjpi<XdNZKiyELDo9!&Zf1!2y(fKALjAe0uu!!eI-T@EuO~#ahj7jboa%6n&RX|~
z$oaSrhzPly{B(#nsH^+=KtN@vrD8#?yI1n&rSl`%aJ0liMZF!8h9hi3;CjM@BdinD
zo&B$5xQj&{(H7A)3fj4>?eA0aMBjmb(o%36oX+$6wsqsrEzkX%It~QFZF)%X{&oyd
zYk`0~LT!$Tx_0TE9+f^^bx}!4=4!G3u9r9%e^1l0qx=H<SYv5h)8pesf9=lc2D#vf
z4Re>#W#@H_=Hq6h%1Fm3w#`aM^FY_yX}!%(z3f?ooM%b3VtBs$_+laAKL7IN%X!#m
z$Qk}QCnpm0T~a_XW#r`SU360e1AIu4k)@p^dCO;P3nV#;p0gjzTbcHH;<huh%Z!$d
z#Y6RV>x{c70m+Hm+Oi7@4Sm5ogt+%1-c#b@;>%M_J!czW7e+)!^wG(1V;4rgBdabO
zMPp8G_b~WNETLQxWuk$4HRpo|YF&v9(B0heum;X;MP=noi-HpB)WpQx)gn+{;u@W;
zzeZK${f#n?GE#W5)OW@SfzY!aPr_1DUps&E#jqo*xr9e+1RY0@=xObht5@&ZvvuaL
zWI;vX2f~L1qn218W({@yLW&Tin`Ssda*Kn_bKYT^dR(pT?Hq$n`I;}^PTafwG}RNW
zj<l2=EajVYh`va9U#cs)VgDB)^PM{iH!auvBSa3Rfc%j8Z9;=W2OwQ~Z0lQ%6sU@@
zK)Q<TvRX-z(y!Djmz5k?_x~a`;PdnIQc$~_UszzSNJsqrPU>dIskr|@qi7UIN=%HA
z6p<rB$>2YuPw2Z|g~x-hL;_d;=lGGlo$86qzh!n7)#lDSMd~m=5B`DFhMrj%sAE9b
zb%j;;7CzpQdrv&4M7i~J;UgjLeivpM@|!NLfU*FntQ3`;oS*vj6b_R}p9%z{z~CQ9
zW9;N(I+{?2OKLa1cFotfN$<LaCUB$Efg_k7i<%Xs`Lg`s1HJ34-?e#Y>9X6tQa__W
zNfh<?(W9kcq&x--Bp4P*o`179)pm=JfqlLv6N8k+_)j+y`gUV|UXz(Ce8w%C8)43x
zN>G$v3!NBpR|`izC-fBLg+jtO*qcXbL}~AyV&Kg{DzuPQLcrVWGdc)8C)P+!UkK?n
zV!;RX9oUlYe1W6Tr-EcAbWBsSNq*e+D+IHLwHKSGgl!~p-=Zw^)e0f{q+!LJWmm3L
zQ+juO7Pde)0**$`FRsgtJs%ejGeVvjqMU!<QDP%eZ@BoUtEBq&+m3zg65h*dpc#gY
zv$froph=UGF?oG`FfUFZ^n5ncj-2tM&;wY_Qwa6P^46~>Ys`5$u@SKpPg>nZ48#4@
zi=N+QVTnG*>~(;&whZ03=r%KAh<G1@zcovbVR_(vbV&q_;O+f~#n31iRU6)HvUy7c
zxikf-r~2aI$)p;!VWX_yr19xFXk_R!3CSxHrt23~In0nW?}+EVZ1^AEkKo|o&bYD-
zl4T_MJ=|R}=_khiR)e@$kDdA(yoWgKPP%`C4gQ19CZxC<pE-W>aIA&%EEThWW2XG_
zm5|XV^bmSn&F|`;x<YEm)tVTU&!)sjh7(3M9Y2ex8?015^~9%(p6t&pZ^pBIaeUz;
zkmkBbfrOHzPWC@K!IPYjI@beUj0-vogPTdHU3uS9dhOZq$4(EddUl`oyN{>h({3ma
z!t&y7b&d^(;K*SWG=IvG;eCq7seH?U!NH2W{pG>;9~}%goS-g51Yx>vhV?l1%W~8)
zAmFJU`d?VS4%@&9Zvo4_rSO&spx)w^MdNTzTG5y!K{D_W61BVpR-xEGq&H0_UFO1G
zJ8P1?9lk0$W21h7*i`K`QWmGjc7_0`=8YYe@PCVHMWcG*j;HTmn37Xw7-wx>_kX3T
z=GLN9%)@khQ!>`V?l?${dWaMq4o$EO0UB%9twh;fDw4=4`DW=5MZKs$!V<t%fl_yF
zu12C;AbW|!E%7wH)t&0HTJ4|83_2E5hq`sYvhG<feZ73r$N1d1Tbr}ZiXfQ*b3pRS
zOHTp5()qT`uH7s#3YKlkQ`u==x$6Nx=KSnNYQjT8$T};LR!qa58E9_YYdG3_>O)qI
z5$BQ*{S^=_Dbhy}j={-?{9>ut_W8uIh7@S@4G20w=4UuuSch=yK?UgXvDWV)E2pNP
zL=;$iT}V#6A8O}EVGm-D!L4oZZ#RNWZ~4QukCtJy!WxHr8yv!JJJ8W#5{Kl~0AZ2Q
z$Z0w6r&i$~%}{*2V{sW>-7|Z3YTCSo{d3u@w)LiOL@ZU3L0Elh-Hvp4Bx1l%HgqpQ
zd`Y@fk@JfmzBm>b#mYjNFeLF|b8W6wQzvD|I2^$$zb^j$CTuxY_MG;|>Sz-0aEO3O
zPbwQCRye$@S3k9R3|=8B+4ZKWgOL{-APuTSP8nsx|MI7fnl2nTp&&$Je(kB#`L@Dx
zJWKo;j`C!kK0X?<N5f|SOHp8rEfm7zfFaPAe8E<m95X{m&24w2)|k%u#el2~kE63P
z;1ZSb7wz&dW8d9i@^AnL7J%Huw9ebWtNI0Hyg}FXarIwgez_DoD@6^3M3H|eH{p=Y
zQJQ*i{VJ7tQpj^{Pf6EJ5j41$wIdd!&JCE9#$Ez15|BqC#$bqrgTv}bZ_Zt$7#!)-
z50jPR&t=0h7Hz9Cv;nfa$4_uOSe35JGIZu}CbiVC--tXv;cskWQu8>cHx|N!T;Wad
zF8y3*O-%`TtrFhIJ@?;H6;|Kk5gSH?kFTn5>4SiN`0ldS+!9he{McFIbN<VVK)R`t
z3=6g!#2r2BSDpwFTdqLV-T3taY2j>fqAT-+hP&(8g4IGGu?xA_FMjuRwJt~%f*Oah
z9wkRTksf;iw+P^52s!dnlnr<Z?e9Dguw_WFOtp=ozO6-~8CZPq<aOaQYW6o(VDSa_
ziAy3(PXDc$<{l1FU4uB-ka-Vc!pO!0-#P-gu)QF;5&yiI{LZ7vskhCh{QUgO3fE)1
zff)TMwy3|aZy>$c-&hwt)U$OKC?JWu^E-6&Zx0IyJUyRn>>JFJbM`fuC%M(N%I&^;
zLi-LW%~$>U7CNlhq|cSy)FL;M`Zi$)E{t<oFYX<`o@p+TdG#viFw|%*jEXNeK_GVe
zU*M30$nabpYAY?7<W+yv4z`xDU6gdl|I8fLE=FyuunIGb2+8uU$(78AQl);sxAOhZ
zGE&Bi9uB+vQ_F`+(S_d~JnZK|q=%yYMnAOa;g5TxmDum}c=}XX=V#?!K6X1R95fNg
z_3DA|@ddjm>7#+Nin=Jizs^&-erbX4Z`D`nzfmqKEP5K$8VnI~vpx`bct@JmeVpZ^
z&65khQ}v!T-+%wQNu4nhfE_#e_u`Yi#sU!#HzG;IBN!T{ri<@$(Z*NX#<b6ktxNjh
zwXKmwl^NOS5qedv?RFL9U6Gx#Vat^rX<)x|2Qe&G%yIm1wr0q2uM2mu_<wb#^ktkM
z2Fh;ruwnS1K)&C&pbGS<BZ{ODzTPndwMqYHs-esJ0G-3OLuPjH?Q#Bzk>;}>>C~RA
zi-;!5G|;5hS$|{vYQ@LmF8|-0)b~K4hy*K0wQ#ZbZ)y2gYV+=2tj#Jn1XKti0+MHV
zz+Cb@nXqFz&}Tski&%aqqz5t8)&kvrBaM5F`^g{TQAM>3XAFO>wIIdMf_nbgNn*36
zOGqgBcdnJnjl1~<&wG>+dh+e!rV9KN=_@Wsz@smpmpsSRlN?vYvb(7E5W>M@B}L&2
z4B#&Tm2RffZPC+DM8SiW7m12)e8sf@9KEkVlds0IY-OnRUtCIrBeV<1u-9fNUqe^q
zwsPD@DfN}^osz#GT`J{|MY$(?(!2~^*bv;PRr;PkRbic$0os!uLwu#tPfv&)+o`|&
z@lWSYnY=m#`%(<28@Z>>KNc-A@K$-3Kczo8$W%?&D<HLADKN?+74I2@=$+Xt4SFcq
zA4LP&0jFNFwEOovC70pD<&eIO%iI;~U`7}LkQ1jQuU@uioh;q~Z<$S`9!ig`dmFH2
zU0PwjvSXmeFEl;}+3m|GN|9muwpOn$(VcaU^?d?bCl>=N`v{i1=JS(})%_Pt<hPUg
zWA*0{P#2OSgnZD7_cNyJbhXuj`GLC*CQ!d_ynTk&5@i$*4XTjU_5g}BbE`*(-AcE8
zPmKMb*jm*lv2?7Ybe#B~;MvQjBGbKt@A7ARS|gH~JO)U8p9G{|2B_$a{l^=E{Lm4S
zeTla8ey)2E@A*u{O7wF9_s5tvYV(&L{|Eg3A5GdzwK<RXQEN4(+A!!9`Kq(03DQ$W
zs&O1n&N|CSLKCTU<tdTJ>c7hhr0%gf%U1<2s%c35OP-h@Jr^X%5Pe}^-%ezoe>F8I
ze1SN56rpYaW&w{ttKp@C4xzK3f6u({&wlC8sLKC_lhg*`>9{{|KUPB2QmQO=sI|BJ
zL;vypA9yX*SOpPT_rjkqsJbuovh6)9T_sl6FLOxWc1}kM8}M%(5^5(p^CHi_^kn<j
z5{A`RrgHrzTrYK%ID{fw4^Ty9S)5a*%j*Z`q;wnUsKB>Yx0b~-<bMMW3(U!N-p_al
z+a7HM_=7;Je;YzYHzR#D1$<sHP<q1);&;<o<>gn?Z?Lv=t+ucJ`Aj<S+WYQ5pdMJ7
zVm_yPj@U1BKX2v5RM~Ag_?1`vSN){pXX;wn|IMiYoFKy`yUU4$J<9FBMGeiz@zZX9
z$<8$WA5#DS^b#v5RKu5h%>ZN^0_&c1c+4Er=#NAl;CcvcgPQK}EzP}~AU)8}6A@5Z
zDFzsiNBYwGyecx_5NE*~)g)D36WSPb{bTp{WBm>1gwB$WO{U?Q+26E~zp)X9QD32O
zA0$&*d%)=47gA;!96=EM8QAw+z`jRLo)EFf8rpBaT~fu2cF(yw>u2dp=!KJ0&yP;q
zTzjf?vi-Y9*3l6)Ffbq`B^CJA-(Tj7ap;)Q10SH~Gt8*MlzH(aA9j0KLQ=;8LJRFt
z9*x4~HFf)Z#K0Kxb;REuBIyihgbP_Pa$?-Pd6R*aRc`wEzj>iUFrQw%<!Za~>x*jq
z)i<+7bAL$m3!6ir?*QCoA!rX|w>k6B_m#m_Z7nT}G1Z1Uh^%ptklW%6BE-i<TuH7Q
zDbY>yy3(`c<@BP_hk3skc&4g={i@2aEhr-4!p5ers-n`4VEP-i+u_s?Y{X<_WClF%
zge+KR00#d8={1N%!ethtirRDDXL}+IF0x}+htvLw9RtQvk8N8^c}>6a$Qma8VQRvT
zA!zimtgNDv^{onQBl@zQQc26onllUmwNd5+^nx)&6~tRwPt~dqjv`$B-li)INoQEe
z5g3b%Mc@rj@MwZwqLx?s<E`Y1<WLDc=xUG9k2`>NJHX|npb&}J14xEbGkfnh(`7(B
z+gE$AAYo4O3ZJum)=QQEGe~lJiHi3JIEQ5_v$V99e+wE$PJ@8Pg;Uu>`LvN}0o<YW
zyOEPmAa@79jv{;2ei3mwu!UklEDLK7m-A#Yp5OZB4At|k7Aor;id`te47OQq_XBgC
z3GunQ+jl2m!4`iPYNZ1v+jSmi`M38!D*>L}ymm+p(KwKf;$>$(=%OYRPfSW;Y1seH
zF|b-W+j-r6P+3{o?9}z-=%5q?tYeoOQ|)bRY}TC3>A(UZp)AwW%6xAV6m0+<0?>;p
z3QxYYc4EBC*~W5bICgcMQO18Ss5iERi7dMu&`!2^nj~T$^%`#or=!x+bd$m|ZC3S%
zwTX(l^0%?YC+j`kfk>&}6aicL1d-rm8xY#(%g33RyW;`7D%m3Z+`ASLd$9dQkKU_k
zqD2ENX5Mk>`aLm3VP%nN&cVBnb(xr$I1VKCn*+}O@gB**Do?|8iSHC`Ri4tdun2dY
z{231Vn2FE0#buW+mow@IQDeGB`u&GFsqcd~YNAHp2{hc(F9`;}&~}(VW%bnk^1#4r
z2;7HM@OsW)nQQ~ykWmtXr@+m#Gi7jl609r$UE|58avucWkkr-58r9Kf%_}1S24sQ=
zkCdD|^I2%x16y%WEyS2`;qO3>qf8N8c0&h&FE+{Gyb-1NQ9bDbarJ=K7PsP_U0qLw
zyqrTWM2U8tq54dhoYTOj&Hu{^n0z^IQMr#n`mBl*CSimadA#)Ans3ucZ$Tl}>>jn-
z&vKH+yAZw`>81)!mz-?O`BT}wp)7arn$TyAH8{uBljpWXH`e=`g3PbowLadXC$N1!
zb7}t%0MHc+P~g9UU+`Si_O*LohBVSGRocQLzkKcN4)GO3up7EC7soKmMK$7y$Yri~
z=exoE!gZ(jNleN%6c>%4d74K1rbanHj$Z{IO)lYu|G(;O+GU`-iBkTo%G;hFVTLPt
zW8e;jtKW8KN&al}7HE=n*?_`;Vjd$WdOzxh-!;blF9<*Lev+3&<zy&|sC$hLv}sh(
zrp(qasXch%-)to5)cY!rztO*!s|w|X=qq70vcPIg3uWyrk?Gj&Eh&TosN<hiEqhiP
zkq7s_a#cQ;l3{gh_9b{0+^m1$EI5yBG=gKOgVh7A1l(oT$sE4c3+AI*UW+*Jq5GXt
ztq><g2&3Z*<HzFsBQ`*9{sXW(@sgoF<RBLNaCt_bOZ2)eoCwBG<)WP4b%%r-v6Mrw
z%>uw$EYeu?Ymg0W`F^m;E`<)DD6R13S3)n0gRUS{4_r!wz~k|aZ<X!+8eWf?`{i-o
z7gp4h(wZ&G2{td0Ol|d}C4n?S+(*z5aPE+;=b}q>&L)@_^m6Xwfg`=N0K4uMT!QLZ
zIQeSTv>}KHk!r$1=RBZV8kb>`6ma!&&%OJdKNc>Ee-**fWpPq54Hde-9IUe!i@HEr
zWHc6lmI->_d#q(0o@tKz%x*67y0{+Y;{ow_S!xkMcQk7k%0VFkE^Cr|aCe9Z4E&a1
zS(w{E#DWR$mjBYeRH43dB}1+_)Wbodb9OxGi)jQg6%}&VFv8#KaFL*S4Z5Q~DJo|1
zof)|}$Oe{Gn8m#hVB<mOg5`B~!SpH%^@bLD=;PVA`XH>788JHH=eH3+Tob~UG~Kk1
zY;)am_`9GmMq03<x}Q>t&>10a?{d|}MNiYMqyo<<n(wfPqYq|s8aR8d#K?#y!~*6f
zBlkkKXqo0MCAZP4I)_^E2c7Ym>qg)jb*6R#mZt_s1Y##GMIVWfdn|VN);QiHx**NT
z`lqr9{6pM}YSsP;$KHFO+X9zOR!~H%26Wo^TpT`6Ov?%o+{+M(xOINS*MlD08xeM-
z_vUk+OYkzUhw|HhN=g|<HiSj1>T+^&mYt?=%f8J*TCf8BmPyUO^jH^J2vMCi1Ez&Y
z2#w|NgzjMNP^gV}O@2kO2bdz`(=`SH2Is@-Ue%t#U_Q7zaJb3!w3^$=w&%`&$^?Qe
zvHV^wf9$ZBfyCJ*NQ}V1h9tjP1@C@08XOza5zcwDBeg|j&uS@=@Gpkd<A&YRl_R7|
z(lJRmv|vg_LisW{+|jf2|AJ2sXzdFXzl&!QK`Yv6^|2@JkiZguFd~D4QL1qTNf|u?
z%V~w!G|>?Gy_Cc8+^)ps*dRzc3+xzX@Zl$J4NN%5clm{EwbaV?W;jIDddrl)^>@kU
zk1d@1H(;dqAXerzo-ZLK9RA(WI|uCi^`OgKRzA*22Cf(B>CU1&FEO|pGT*3a=-i@X
z?c%ba`DoC~RDR?3KO{H}x!n5FF?#A*SK=T@ycfNmK)sMD43d|#pgtK%=r0C8E4;O5
zSjDRLDI$E3tFmf>@4Nd)1AfA<euURDs;f0Xbq_W(lIJ#UR3`HS&XR$5SlWSZvpIEt
zEvsK75k>v!>-?L-Fm%PES(o(N0T7tqgWm)&1XOQ^%}{S*Pvxm{>~6)?gD(@Temx|7
z7A~7maKfZ>mzr*vu0@Z5zNcW06lLVWOm;IRHI-f0`xuq4+o1D!u&G`U$03wXROj(n
za74tlw@r^a&HjZ-3~*6!P+Dqsl@!m@4E2e2mJ|<oLgkm7KW|n+tnqS%8_?qsySRe|
z4sT{K1iTdT_pD&O&x8F;zV?;NHS5l}&Lc(3kZQ(9Ki>MD7=)vslczd>x#c~OWS!Ys
zK-WN4h$#AFjm|<$Fu%HhiVMx*YSoA`8c7T|?xben;E;D(8_QhVgK#Gks`_?zb^|r#
z_x^EIdXQAaP)t-KmGMkp!I|}-zfS3>gBl<fB|A`|H$QJo<snLVSd8EeM-f;jqW2t^
zUm$8oA@qpB$?(_PJAr@_`uxt<j39si&znK~byC}Zw^je;5;O9+dcg-^{QCn@7eS1Y
zYrg-y+aUpX&vEK5tNlsa+!?uJVE?0K5@boWT*6zu{1v?3xGYBQ5nSjyHD=}Dh=Ya{
z(x4>K8oV+DEwpBgaf(5T`6)o?^k^G(GwgQb{pdej*vF?d9C33@*DjCP&WBozDCHE?
zJvA(z;GOdBELnEqg=qLZ5p~XL){0IMhM$4q5fbbL1qG4P((3Sqq`}tkh-?I8WN-@&
z4zX<IBKHSQZ!=yMG@E<eonwi+5d89*+_R@TY39^4D<;F32!0iba1g&CeOi3==IBf$
z1Wg0)w@(04i=(+*TwLt0ya}`E6G3u^nfV=JpMZ3-8hS*j4biD+r+f+zYw~l!kc|I!
zSw}sz5P5@|wm?7!&zmFXs%zq*jF!|4RnWD<aIPf`dTtiP)&mT0G*M~G1yl{!{n-E-
z`c6%lky^jT-)Y|L^3X1_v9I~g^PCm3j|#)TXUna-UN;#cc*SpFA>qOM9TvuF-NS^q
zcz7M6Cx3|-=4v2Gkdc**Vd7$Sw67W;eiFAvY>2a85!yciZecm!v5MYQOgbf1pCCOp
z09G~M-b|lu*Qo2nIucJu|NM}Bspd)dRb7GER|N#04pDLSroMAQEFgNE`F!!~gYGoZ
zqS&gx9f|rv1;>66b-IXRQ(q}Cf6Z^&$KVRV10&;tqQZ?Mj1`zF^67eORXx#83(%}b
zg$72?vzVBrk&_O{t*0$}_m()Mw1_^#=Z<Z@b@S$cw9Uzz!OP%71K-z~s_*8<eLKw)
zoxrMInxT@>>!x9MJ>rJRKuc({&PPmqK&HAvVEGh<fuOXOV5-LeB7%<eQ6gx>OhY*U
z*UDYr$aYX!m4aQO*`EGrxA{AV$~T)uT;n)LZ$pCwDvsN&usLYv7B{t@rxZpKX}7%E
zhzQ4zRVO>@r<NVJg&st7WG>5}v)}s&BkXXlWIjh8K0Z~NokM5{u)>oEbd4==<U-1i
zE82YCqfpH_S~U@k1{=FJ59zvQeQAjLSG4D@wIVKjwoXKoqxP#D7dL90?MlloELh)>
zP=L%&<k1XZ>FrJrczBc%8!q{j=1u=a1Kx|G=Po^_v>b;9F+zt+pROhaMV3MMYRS;2
z)}AG$`Dk(T@dZ@#(rN=|{oXEVZ+#xRrR>=(mnpt?kl78WoOr}zbw<y0j8WlIIdvgg
zJlWx)NH3V0*K`z){g9g&wZCV+>TRJ{mE86ZE-*!v8?%XLt^{HV7L&MfzJsZoZhbT~
z>D@g46{)X`X|`PNgj!uUz@SG~!!%^854}N`jEYlOtX?TpGU~c!i#3pZXTX@W+dW%B
zFe0-&t1R7FRw}Q2jO*56c{EEkZa9?d&vQ%Di{ZP-6kopB%-V?b#bPQ2n)CwV0EoDC
zerkY_Y?tPvC&-rux*PQ~|IP-`-7TSmHtjP!UPt?Gdt0*oaK|Ne|19>8+*FgMwuvs+
zDhB1NFO}jyENG?ycY<vM-=oBOTErC!V+%-$-T2*ykWo&Hl$9(5FfH<i7TiYA>=mUB
z^Yt0&AhP^+A8_$=MGxPcA6(piV-Kq%rTMw0>>g)?RLF<eF|K||=cxVbhb2SEO2fs%
zcD}&-%wEC+7*;wF7R~B^p-7AS5}GT>565D_MeZ)J<?Pp-y=-XU&|VqIP5kuhP^PtT
zu1r4Y0&$ceQy;Y~VNe1Ci5~6*^T?&%a9ZK&DaMf}5x{QB&C45fjE_HFR&B^t_1D#U
zLQikuvrIWvLzKCYSQFu%|InX*-QmmF%F6HKqOz0zg@uf<i(Zgp;Je@$e?9BS+;Grk
z{f)+H#6|-ruAWIgHGd(3o?q(T!fRKGXkds+u89xzreLIBSR6BE8sAQ-->GI8VLV3>
zRS|G=tw~>RkYVN;Zs+SY_AiBCIKuO52yqCkQkhhm3cK+4H8TDw;X8JICic$lSv_<y
z_Dn=4zkfZhdX*@pd;g%Uh44?==TK&q(8JDu)!WP1&ID+nqEhjk3us+Rs=0hMPWOX&
z<@LW+N5Z9l`tgkRN=0R#@_aPX*4b+LL{^l1<JQKp)EFb*$?o#6tP(c};OK78n0*C*
zJ>6RZ>FJ@OKk<X9*rA++MG=w1Drg{Z;5o`HHreX`*f|Qj|Mcd6CMQodP_hL{-~WN8
zmvO*a)O2S8N{#ocTL=q5?d2qF&`*{q-NPAsyfEbHG5!{t>!{l~15>Fht<dqK8fiBN
z@xm@Xy~R9$Bphu&eng%g7M<FeeTYC7&(`j+?yx&;J#<z=_44T02>beg0kB)>Arr$+
z5_`ee?LUOaOcm;17NcI>o&MbVh`;o&cH7AxDy8moN$W;8;Ehh1uzZ~s{%n959}Cl+
zSgD&Nc+nVeR#`j0XeqE)fnjFTD31kKuIS667`3tNuu_cI6cWDc;%f1~;f;p4D2mFu
z_PLpv*+3?Udy>8kVBmsVNw65~n7<Zx89$JM=cwQ9W*szgKt%}acuDnzL}%1WZlvd<
z{ZBn!k&|<%K0A)yStDfxOHi^$!)NjpVH{|2u6R<mW?7YI@^cZLEbOlG_}g7DwvHpA
zA(WkgY905r=Ns|1(+<&7jCOTY7whA_uMDsmJLN0xY0!HU;isbqu!bEg0(f7jXh(9W
z&i}Y3x+rzvii!Q=OvfDcL}!$JSeKm1Szab;3BLocUuaNOBo5-%D%=UipRabI^lt>+
z&5)+%g9P8AyY08Z7fU%wbcMH|ZP!TC3jX#n3fs8lW7`g-Rl^zE(y_)p0yV8mKE
zutjpfSsV6=j&wq6z4Es7l($o$7DU-ct?$Pcuj=XR%^rGG?fJ274Yq52&M%i=we%t(
zJYxj=2*y^zU87#Lm}ovv?7jcy3OPAJY$d0X<ZGr@q<j-}zaEfqYHJk1L;l=cJu|aJ
zkNDb{8+Tff!f&11Zf>29=7>MB=<$xyCq=cFCe_d{$}_=lTm%(#@m==D68ovwOP?L-
zkWx&Q5joG+;?YId8SjdA5Scqo_aM$zwGlpoxMLG5&Qq>WVmWl#5!a<eP7dwrfn-L6
z83G0}S!h8m|DmUdA8DMfmpZsiE|ia3MT0#-p2fEuA|j$f&4Eqsbx$BaP{zD*X*gI+
z3M<50_A|~p*6gvEIe*ud@K^`PrHBavNEFq6@YLg$w4OM|bx$<#W_>4Rn4!QKLg!3Y
zeG5x9F*d$15vd^)$a8#x*%<B+pU?O2MJ<!x^ZaT-$vcFfV#;O-eXYNjw3IqQS0|)*
zH?U}56;xJ3$w7BPvle35*J`6+Q)IV>8WtG5@^l=Fqb)<hy-iGy0+UBxWp+x*ZR}1K
z+gn66^n5+xJ!^akQYLn}=IbxMX64J<??d%-+`3`%2!*DRodpb3i%umJ3+o12`q9G|
zWe->+X^m%MNgsKG)b;LdRHnx^3Xp(6?#`Nf(E&Yw#bmS&(NVob1ZM0NN#fe|r>lAi
z4>CSUV1`5ZsQK1(tyS=bY;3|1?Fa_H(mrThaidFi&~ZD}<rjft_4rudF4UrL9%J};
zxl{P<vmn21QONkqI%!d3rRk7X;!PWf{qVu3p<`v2dmLceSu4PyZ8J9hZlJ_6rxRF}
zw+>q#*a>bxLnRw7-|SR386b*Il4dCmJH+d+fx$X}fLZ8l_noD5agF8mhqQ88U@lzn
z%pZ!wDo7*=*{fs)=QMP~9(d-n)P7fGgEi9ms^NoL?@2)(#Wh{$r-3#`-0HyeLu$1l
za93&L4kZk#B%q5LbR6YGFd~}NqYaXp#onHKj%|J6nBi_}%AvD-mK{0!_+S1Op0Tja
zthE%NsRuaLc0S)rO}1a8vMt=bCFdDVlGRz319Cb<7kk2KHqaDWtLQpe=3O_pIV$N|
zt`*3$rYm}%O<7Xs>#@0}3*yBDlZUjHjNVDwUq#him|r`W5T&ZHuJE)@Q4TZAt(d8a
zBVi_h8_9RZ2B3n6p2QlBiD*38<;&w((~XNAxAqPz*XAz!G~uot_3hE<wR_)Uj$ck9
zX`2`hLLxh!=ST<S$(0Xd)o=URwsDvmU1aj~{+ez?cwFpPwxhQfYR>9O^@srk#z3tI
zFX12#UF0n=KXT$2z{|GaYii0>O}AIH;=6#Ten~e;;BpRVtT`-Manc=Y5OHcRIbKO^
zgU{43*`1CJ8hk%QvT8A?PZfNcn{yrHxn@{sdU^=Xs=t;_cqS4~EV%ZHJdfmky8zGK
z)Q6;yj#fxBDg1b4@2W{#X;}E0Zh-&&xbebg@2OfHqJEOB>yEdlEFcMRBL&QE_lKoh
zj)pWG(W(vnzlx6?<s4)aJSBodfuC@JedE@o@xMea8-YOF_NmQ}TI&3^7Aq*C-2323
zX{9f3{S3YTC+6F+d8?$4^Vz^6c6Q}ow(_Dz8d586_mp{izL0^cUqii{0^Y&sZd>2f
z{r-QfR8pHu@cQPJhjIl7cy#>ziP7IIkE$6Tor?Ph7aP`=aTEB<x#9hc2SycOxO5Q^
zC9~H~Uo+z6soVNx+kum6?H7SUE)uz+Ydy#2*NDjSfWMC~2KXHowS#sX-x_SSo}Tx~
zWJc95Rko{{B=4Ng3P*p+kJUf_Z|VMf*bDJdJh$mGwufk=BO2^IPTiUsWii7gx8+U#
zSFj3)0*zpI_r?Y*dmh)Cu1VX+u<#AtX|D7y6Zd%^HUU&TwsERA@(>;}4<=6Nf-
z4U}CxIh=49b=nM-plLqY1<1#6!bfdPSMbr<8pK5kvh)%4DW21IGi9}$91^886AkOJ
zBsYkYe(CN#n>|6LEU7000_6k4|DVey%^v}D(Qn{KM#Ry?{3<njlB>YIf{{ZHmsm>B
zRHvP-YcYDL!r=A25-cfV%sO7-mwk#EUI~}oJ%{;EF94S>TC;`eN7r1X_u4moePvkI
zUeJ7FE#S>^H~T^|YxFQ|6iwm><=&ILTx#oSiFe7)!!k^nYcYYT{h!7*Mzz9W<tvPj
zP4X|P<wO#8VtM%(k<Y#16W#7->&hCQ_Sosw<a7yTKj}VB|H*Cu6xSUsPTk~A)vByz
zN*(4;P#C;Oq)RjySAbC>_0?&s7pAUZrl$f*R|~tGElve;5<01;)vc(~q%h{wCrWxN
zun&?ExCfE^aACjg_3+fGwwUrBv%`LqXIbnmywG>z2+_es8E$CC3SdGs90j7SgL!VK
z<DV4KdL~jTUY{k_WLBuzBjV9Tm@M1Vu^T?M$N~Jn#qE*(ccek5Qe?W!JB9JL4E1;e
zt*4QD|A}MpH`J$N5Elz+LJi?3;+&sFI)ChR84eD-4j8bNEiiPz#+bv4hRqdwr_dLO
zzgczTB|PJ?a3GqoUpWU4lOo8q#u}!|hGE|<1?nACnL2rPeIRN&HW%H0qlffI$cH~g
zc&N@K@Xb`)+zi}3UyoOw#jO?<Ey15Thh9sA(`CjBMr@D!HyQL`IobVn>0ryZjnVYo
z8_e*hL;X_$^<M@}lmp#G$e}ee4qLHa*vo71ur%20V6*1a)>@)a0J`W+iMMchbZ27Z
zk7M(O!wwi6P#eG!b3dvp-E+-4HfIg69#L9Sz!ZBQe_2tQANxAd;Dk?a4F&bhyU2u5
z67goSgDV8AJ$r73W_Zl^`$JoiZ70><!@Q1p3;(F1%<!jal!cAvtLIjAtp(WWSlgn$
zd{-vIzV7-sbb^oPu>dj&UT2f=1s*kZp(lG>3JWt##|Hbhs5@E)Z?y;>)l-hC%2Pb5
zjL2MnPDwo!nO-5}ggxNYBV47A)K$|TYj_s7TSGJ65DvMGJ1qHVe~0&1cj&C}T+iU`
zD{#(a|Jbg2db61OIDZTLmo$GV2s7Ij7?qozx{2|v>k9t67b?SG*;wWr(3_CK=tgz5
z8g;*H-75;%vt$DKPfYiksrTCIUwuy)-fqM?km$+KuZK7z4JZ2;i-d;dc(~vnW-)I5
zF_>Ej&x@||Ui)f0{|S~ZD;yx2i%oeV$m>~qCfxw?{eyu+sa0M1XYW@0VUzuDF(TkN
z``30EVQD@27IoJ_LvPP-FuWPz1u)j8T*ZQWMZ)~y9=y<<o)L!kgmIq{dsUZX+^z|h
zEpv7czp=NcGTo|fwv@O9OM~IJXUN7q53g?>N~ZaT-gj%8XRB@Ri4i-xC~q~wJM4JH
z)Bx7(o!NrdG#2Nq&%o+dSPL{Jt%9C`jcxt6F)P;GMqS-XL@0reD7bs74HJY|pMekB
zq5=&vbs!5tM&d2y#$R<DckbYMlq-eZo$Qfxk)zYK6atqQkIP#lNPf_kUY5cil~NNA
zWG%H0{&?>V>)p9Z&RchbYqlL0!#4OsH`133Qn}X&3oAbaR{Ade=*GWEPY@aT_U-Ch
zi%61EQoUz9PJI>D*%-98R5nI;dRTW_vtoIox*>_<v`|1f`{jst-Src5<y8d&Trn{k
zY<!e}RnDLvL9(bdTKAfQqh&}g6Le{Rf3-{cL%hhQZXQmc3_TW3FzBSoKZ!qdzD0jD
zoX1Pv`&(1?^Fb$nHeC@_z{NCf=3uKjfmoc`2B$>2yFOU>cWz;&tF#bgPQ;6SZ!>m#
zGpuVZuk@z@z5VgrYC|dy?TI<x3HR4ezGB&zeH5H2-6lo`@eLP;`&gR1wKKZCC({DH
zem@!hgcndf_9<N$9zZ)D>uoh*gV23#Z=5FYI$P^=b#)@TsMEvJuQzIETd{)uPBl)i
z;fB!9_~OzJ(C+vB{Si)pf4bY66!L2A>h8(PD4E}>fdA_wcY*pFGVp{xVtDX}G(Hb`
z@$r#w{I%jSR^A{^9*NbkUZ!^*Q^fQrN_EdF*Wv>yzK@RynU8`y8q?a(!VszM60Cy}
ziYUD>cu@3-|KjIO-4G*fDR@TunTs%<++_+wpOBx<@`RTWQ|9T)RSOIgd3!1l{$Dn|
zFZ{9(DGrGl<9mhk&^G5jDmim7Da5oZmekD5*6SD*C?;U8$S~>jl=W!%s+KK24!vFy
z*4r`OYxA#tByeIT^1Pythc&%aem9`^)}B?AoVuYO?HAEBNn(?1>cRICdmXqqc;XwD
zoF0-tJu%m<PHKJ^{*<Uc`(ZH-JfRA_wAHS_-+N%8vR!ZI7IHisBc!DDl#=saJX7+e
z5BpNyJcG~iaK##*!jw<$eE(G<5Foal;B@L}@I~Nsx5$Ng_%%hz01MVik>GE(UxoBD
z8t|2cyCOd+`EDpEkIPwmYBzrQ)}bu?Zc}%<J-X}B&-b)CYTgAGZr=6vNh0x4sA&uN
zW>9(CclD!E)^QQ{w)|%^y%!HKMXtxY`|1B%aWm(U=iDUyi(e=&)_Kv}U0Wn3Z%3C{
zzIvwNS>Wr_vE6B24SbwKQXhqt4zeM!4-z<RwZC_>HG`j;7Y`m5nQW;fHY5?8ItE1A
zV&hIk!U$f{y-VAMLMCQ><$_BbyW@$uXd2<k3V-xWgVP#c*pRP}2>j@w&0BI3n?$i^
zf6tvdwmgTG^Vt5EsklsK|DNPI5-i_B2`uqR$0>4+<t*H9-C8V_0ot}7r3cA$60ggJ
z{JuoLU!*)M!AN4`3Ud+X{rJ@fCK8g96&_95rRb-RGg`bo30jHM_zO9Xy^N{P;k`UY
zF&%ZyPzVRW6WUMlq?QqqJaEnRo0?xTrrM)sn#%9^!*DcQp+zHMe|zs!s+#xOebE<K
z*s2Uz=}zA(Uh}#N`A$Uj?{Kve_dL+Z3w~@EPt5jff0iuZD~vcjj5r}|u$rG8VoG9-
ziH+!;yWuuY@7r@>=_=vvaD6A14<#z*4YP+AV;6@Pd#rOM@lO@5hDJ~Cm}Tb9-<F$Z
zuLM@^<Igsva-v_K3NYZGm}g^u#KCvq!p3)GYQUPH#eGkj^SNfG;pBt~1}iD6^=B>f
zrY?(7xE=k>1!QS#Uj2EV1e(9<{4sTlIUdH_8o(57B&LW(E6z5k1RwkDs=pW>_?Y9e
zXEphwBKz8bt8@0!JyDresz=iAe1n$-l$L~gcqdXcACGh2&DnYMAC2Islo3yu5W!!e
zbBE{;Vst0_ZqHu?a%8sn{S4f{M@e#7Y_j?<i7eiq)vE0sB`ZdwP0G_gvR&|a^$i|D
zOP{>E-jql1QT#{_{cEIq*8rnb+~ABC8(F{vyEpZ|J|QmqO<!-CoR8$XpZ9c$pDsP#
z`+I1<U$oXx=AWgKxcSW)O~_xFNKNyIFpKEJpU>|GCc_m3?io~1jP%KvJ74S1uDS5}
zL#d8*OgWc$<*<lAj2qrT*+S5p=1f$XmoBrV6icSrRU^i>H1EI(0e;^!meiwzC)iQ8
zFjy@menuqsl6^LHz3c1Vt9TYoAs4%D^|7k$mGh^lu02M#ge30p{^~l$GPW;G#uS+e
z(w_gBE*z8n7#^23C6}(M-4bwfSkP%NdKEbz60I{4LPWfi6<mEg*W4mTo6p2T!;aDK
zoEFJ4+mTk0#gD983)x+9jMKu^&bMy-;JIYNa1hJ%iB#P5`{djzdVsBCZUkA#zZ25W
z<5yB+&o+4dPQp2Kst`Cu6*==&o4T=TGaU^J7oVaEu4%Qtbo?GYt;9lDVWi=5fR!kE
zBX;jn!`noDn=V^gudB^J(`+O73W{4wbN;xrY)ZK;#=a}{ctWw_&7PiVPV{_^;?LWr
zlK;d_XJdly-{wqazs!xtZ**n2FG{}e&ajNnC)ev9lXLxJR=caeDay=D9*$QX(4)LL
z+%|{bm@*K@g`{u&%5@ua%!rzrN^b38()G1D4SndqRDs=g9p1s9vgt0q!v)_@t;<hO
zR(7<i#O|0XJi1fVV0^m!UUs&j{JZ&3f70i-k4L!bP%hMAGR1Ye`>O6Ce>l>pi&?D%
zbn5jOp3+@q?%239*CG79%n&sYe*NKTgu2AiV%uL!982|6Lr?DG!#`{TKl|8MxeuN+
zafQ$kl)pX9eJ@hx@%2s;?{|`era0%V2tWJSiklo(ow1Dl%s+`GW=QV|q|9W0c}A~)
z9#_lPCvdOssQ!gU>Ai%HO`a)MQGtB*JCky5^WX22Ci&B&$Vj5ga^+=@E5tu29^zG8
zD-}reRQJ9*U$0X22($g{$Cg056vzM9-g&(>)ofuLBPc}-ReF^YkS0xf3su?&2uKs9
zL+B8YARwrOUPOvO=uM><ssaf$ROx&mEdenE2t}GGNI3EQ3+MLiXKwcFXD(*V?Df9u
zHy5L%ZLFyZ`YfS)Hq0em=};x~mF0nj(o0d;ij0PhrL=<7gJAzCCcZTT^A)u+Z~^%2
zq-?Ok7+LSZ={}^K*2Tubj*#V_Rf&Dc!4N165ENWU(o8Mu@EFXZzO(JiqzYTPbmWwD
z&IY?Um<h>_)wc46@v^fTV%2w!5b7%S@zT{MZ)*~t92?l|mCJcn_U(49CwkAPy<TcT
zPkHg)YBPCvS0Jalaeb-5F!Yz2EmVdngRV5^VD=7pCFL4w@1`nQPU9Ijdyr^?^Hgy?
z@5&&V@9qt*yPaHO*HD=J-Iz+-$yD2c$&=jEkYDD@r9D!P{8{j*x|zzmmIBRasd3ld
zKkf?=HfUG7SZCRyN0Aw35661bh`Z*ej)++cR-<U0;-BtMH2$2*B*Z*?ShYqYpmsm7
zhp>ZT9`v}m?-{YMfy|?xFV01<9!*P*KJaplE5Jj!KZufj&BRRw?Gj^#P1eaQUecJ>
zj6P38RHngsNa2xl@=7NbpXkFCmOX`-ADEeCWOVxW`NaRbHWzcB<+>{GPemMVF8%i1
zls(X{s=etF(Dr^(qQL$oULe2#^)y5n84o+*6Dcr5*(JPUcc_9$r3xMdDeA$`Mqb)~
zVK9)5rx@bwW3|!l##8qjoXs>PTWvLj3t4qx$Ilx^%@t>??lf(#u}y<I3>PNrMztp=
zOJ2MZb#H+Ws_a=1Z0Clz^@3L!47Pql;qH3=MJ(ohF1tWy2OFlQ?(6#G3nG!+6}k-%
zmO#$+tc(&)1$FbN$8c($)Gh$S4;cWnW$#w1W}577J$@g8>++#9^&pACR`<P+WB5EG
zQ!dYLG}ul^WRsK<H}R&K%dXHjX}q}&7JF<i&a;X<;^kL6`$uG<1nhC#JDMCjM6kr%
z9@`>y^Xo|ijeeXMeP~~SPR+`X%5RzEgL!hML9ZQp!A=jR<RJiqQ5VKQMZaYSGrD3d
zn2*$yF%N8$z7jlVW(z8g+F_xIZ8Uio<`L<Tvs5fyyvD;OaKh@4!!`(sk!Tz*8wLx4
z%5tM(bFF3h*UzsG)}Zaq(0xjsn|b}%Ys>T^R9C1KNH?{*U;On3FOIS{vj_F3hP2Zz
z>gH<l?Z>AgxoExD8d1%70<Be{H&J#kFuHr-WBB{HC;Lvy+0Am*_v5sFy(I({?xaoA
z6fL)$8@B8m(yzO?MIbT{w#Ic9{0Ql(|8jF$d$4f$k#oEsD3AhBWUTe8q4=|Cc2Q>t
zNY6ltcf3W!dYD9X-}jsXPgGmjl!hjJZTGcRYZIRBTi-oTnkZB^n2634h+Ostpa0V}
znHDvR;{#>sX%a_CIGPtKF-*95?rx0AqP_1Yz7-9>=R3-orF>*Xi<WpoL)oqtdjRe;
zArU(WA{m^QP@5+_>c7(E?SE=3TF=!u$E=J9+Co?zE9BOAC0>ueVUsJo9`YkS&C)gG
zjygvBe(k+62IGpoe2tIgK2?9{HTklf*dSHAyD;GokG1q8{Fo&#WvyK7KAGhF5wSjy
z2sLsq1c{LUloVPj?QS{h1Yxy#^VF(S5=7of)dFz|8$}1VyDsp;E;|4|jnq%xy;-%@
zd^2@aydf^>@AX+6`@L*d+}A6(i+_8#406YBLZUh%W=Y?9M=aCv78pC~&(i~W`{J)u
z>8t`DUVs?p4MZ1jTKL$_54j=>cVcX+XT-2ZUu4x)R2Nu)%d)`1Gv;m;pNqG>g4Ca=
zV)-wNj=SlNLU${ok5wAFu(^`XMQ;1ruP)Cn0+PM@(($2$TBUXuH(hwCnB;E4n6$>@
zSk0Bdx$md9PE_Q0J|d&-n+c*=y0e|nA))ygqP(=NN^eug44n_CTzB#Omb)JCk0wEQ
zh82uo)5SnTR318lZ6c%dzImx8fjsI1W>1ZA9y352^iSf~iD+hNHn40F+5SBp_;i&z
z)Ef{Kb>X$3-sctWp@1T}Yh){N#J*30cNedf{*VsiF2|@<Xb9D>3%FkK!MCyL+H-d`
zE9UA8QCZ1Mi0{>gmS~Z#3L_#>$&YY#HAd@My`~4qbGYgwv>VYNb`y1e92(7mC>sz1
z9gmSLVaefRjV4*wPOAn9!>-W|IX%eezaAL*lI&n10N1QOuh|j?roQP7-Uc}!xgr6o
z7yED9;qKlk64dE*|Cer*Ym<m@_xlY!sZ*njetD0BV=*Tj3B1WN{A$sHi|L$lvZ9Ak
zUO_odKlEc$jwIK0zhwwzfWm^EQ3|KTZy~2(@<sDK$8Agc!)1j=v}?MyWTAEn>Sd??
zbdQ_@ZbjOdcS-cl9<i3e%-SpF1SpUx5JHc5zNX|NOY-u32dWJe|Fv%SBJgATOnf({
zqP0(Wy8CudXZE`DM)jdS2f@%W0MA}pHptamAD2N9Kuf@Oef@mjbfk@uThA!ZQsFfC
z0m0CY=VDELE1v)A`L$`f@RY4tUUYd_$2yd{MHOwW#!Ss_qP3&?3<oumhkT>DJi$s3
zV2H8K;)Clrn#+?QCKU0Gf!-u<>r^IUoD;z2;*L5E7C!}5SAIQJ_<(VCl3vlb`kHuS
z@2Obs;<?g$+a9^j{TQNX*5!($jYJ;|I>k<Vh$))!5Md)O{cOf0L&KNJ^;d~8bHeVr
zfjLe+B}eLhDZ56PqV;@ho=&Dlw{iQU3&-v2EzQF5-IqP!RW{YiC9)y^(qoh9vjpmW
zGj~)QKx7%w_LlPS@%65RV;78Flyj6{9fEr9gr`=1>>f`~@$k<QjRM!GZ~3j;X?ODj
zT;pF(6S-G*u*7TsloTIbg(~YoAJ{K=wLw*5H~?)9hJ@r+#cvGiKDVc7xKQ3f#sBb{
zbv@kTHdnqpf}d}F#N-sA)!V0%+tQI-6?m7H39J39<U_`L>4a-n5Hz8LO|}rxQ@OgX
zB30p}_Lhz!Xvd6kF@Ad3>TvDJivMHxA(&~?Lpns6%s^YV7`(c*6@Bb^8D&6h;o*E>
zv5KKzXjW({tE-~+5}b<$?gqqEMLSS&vy)2}KWZCxsw)%1WX?y7BnVG)r90`DRo8jG
zhpgJILZrqSJ|%p1a$Mo}js^s<Ztc6Kq_>7=q<fDw<LOy_9sKN;L!ULG--??nWc~^h
zxyW$R-uKOJ=OZcIdn;wGIKa1WvZRKpJ#u|eWOic$2;eVCc>cqV4tG*i%iKvi1F`bt
zCKU<ZR-{c7_%X))+jp@>L$Q847dok5lJ$n&H6Eq+p(7;R$+y7!_j*Zec{@!pGQiyZ
z^1bnIIA$5|5TSn-VU>}MFn4l23)9u3K96a5E!Ec^;ljP5)DxtY#RDHTU3zrwsP@#3
zdz-~51~7s}lTKghF;H9q3dq0$L8&IRrO=KM6XW*&ewn&0d`kp3weU-wxRe5~7ENc3
zEOp_5uL7%H*xEkJ8mj8UMUNz6-H!7KZr(j#*M64B{JqYwLT`cWzJr0CE0z2?Pt?^Q
z37_2VB?|kPKPxm-;5Hpkj`7l}+5Ki2#R$f|pDGn3^9xHdFj4okWI+v{J5LmF3Uht4
z_8D|EyAjK!PPaU#F%3Rjz}+2P)@Z>YQTVCRR$i6*q2;q;W3Tnn!`4PIT2a)lCfWSl
zY&);i`!rMS&rv#bk2IC`EXy#tz`h<H0HM4YDp0cHnJ?8A$4H*5xhR=BB@;xZzXVx?
z;x0pEQs<7|XYQ!DEi*i&KMw~6E&CB!m^c0~$wRn)jt6{O+fdNFWz_oF@dSKjMMW6v
zFC>H9Kbcm53sq%H-H!B+%Bgr{=|+LiLC8i4u|+F0qBiqqJiYkn{-o80#R6rA!UI0g
z7v)?p{n>mkjX-sUjX$Hvq1>oqEdB8;1Gy%+pSaT5_#Ka#DWNw(s@a+Ph9P0L7E4b3
zu#G`1&cHZE)lo6iG@&Z*9V&Qfs`YT=#RDqRu_=6H2u3&Y<+ar@A$|Ib2TRO(B-o6l
zFSwC^NQLGGMw^1NnNewsWP&`1=N(p~Bz@;O!vNTNPtNq0<VG=b*=6$(w|2s|&|*ed
z$~Nax)Ncn_@y!83*yNk<8Z2CEgN%LSme>Q8tRegJX1%4CT~9L*7ma#vn>sztFaeF2
zQYo=+w%{^4LoR)-xoa$LWE912uzC@5>oqU)$QMZ#@M^)+TfeeZz5rs5Q79(OhTps!
z`<`7xCG+Uf(nwDsv3y3qdcv1*ujjzJXgAu6lPvi~M0i=956yn!1tajq9iyw|0G_iv
z%p_FX9mN!qG(!1H%Zw$~(t_H}S_{ldUPvhAeR0k$BF}Dz>$@hwh7;KUxN@OqEZn=0
zswkw^%zs(DI_I?L=hl;*E;FPFv87}1fZ^$tx&=F3D(e%!rq6Zxt}44dStm^A*QO@D
zNP&T`8EMv9lZ*~wPq$Qal_)fPXq?r}rPjQZ6xHs+uz*%A3QDb2K&&WMO}9gCF)|Sr
z%u&pw54#ylTu`iQ?U#YlBtsuzynR-muEs7$(yxx)je8bp$q!V92jy9yUfDtlESxm~
z10;#r2E<270RJS0W@l8xJI|0#-i7+vIySg{Th{ezY3Kliq354|UAY78Lp8vrMI=^r
zkokpHHN)4;M|#S_oqj^6)Lfhq)iold4I_&(I0%i2xE+%$Df4gDU)=c3yj%eo`vIl7
z9s8V-tiSsIyfP(6>tD+8!*-AW_C%-u_skF=I)CC-Lc!5?!9?Ep66GZuk_}I0IAzxf
zqVLd};&IPE{3Sh$T-uR;CrxhManI2+B#9gA4F7#4_h_k-{a{%9M>4AXZ;L07;EKN$
oPu_Wd2mJr@|HJaXY=>X>IsukZ>>>v86y(Q9&rG*o=W*PB0A_w5Hvj+t
diff --git a/public/figures/soneson-de-benchmark-fig5.png b/public/figures/soneson-de-benchmark-fig5.png
new file mode 100644
index 0000000000000000000000000000000000000000..dab02c3998c0c9aff91c3ec70484c6e14bc5f9c9
GIT binary patch
literal 129298
zcma%@by!?Mn)MqeXo5Qd65QPyNN{(z;10oEf(Ca98mw^$?(XjH?(Y6|l9}0=eRlWx
z>Yr{dw{I6$s_LBcdkL145k*G8LjV8($l_u`3IG6PIsgEb2oDL~0%<u@2Y!LF|17Qq
z4-db%F1rT)@vVcfnuDT^v4gXooe@CM)X~Ag$j-ob><s|$9w09CNy%m5D9u>_L-euN
z#Q8L0^CVyN^u6!<Eckq!kJNK)2x?i;AF|3h(A-zLlDgEgL8kg->`Jsg`q<F#pg&Pf
ztnVG~Ie#Tkz4h|;`AQ({th;f__G46c>FAhcl(+WC+4%Mcu27~N03I6ho51^53^^Rg
zKW~3l3BG^(``rWzcsux=1kay6-cla_*(_id^k*|<F5&MFzJ-r-`g;hu1(N^R;lF?G
ze>?Dh|J=nZYQWwbWo2b8`a~@w!9XNEMw~QaVN!W(Yx;=I4^sR4`|4_Hl!;$CQ+IZZ
znVa!39G#p*#!GcjB7145sYz!=5D^i9z~+%i&Il6|6Uh%~XdoP<o+uK*ILX4I-wp1=
zoqjnd1%=5^UtJ}ouFdm481K1XdN_fO39K9(_M8NER^Zp!*;!Q-FBzE#HCm#mHT(Ld
z!a{1hi221umLEeSk!Zmmcz9B@&gLy^a&xy|znl#Z4Iv>Rt<hmZx-#Sf?>?m_#Hp5v
z+<B|XYDs2~r>3TIOAZVS#KgpiB~84Wm1KPAF_Mf!B<A;`{k#uZNdBf52^l#&Je)_e
zqOy{Og{8lmiL}T#@%3s1jW6T%XueV;nJD6|yFeB_HnS0=rluxB?jc9R*?S$$39%6-
zgn*5sqa}3(9UU3wyBJt1iN#+-y7i3A%nIS;6XWKj=HZ$q#bsqS=H?6PF|o0+>FL%v
zy3!pOwWO9kqWlgCRaI48y}cacb9T^Vh9UGe2K^eAmX@Zh8Yb)YkLTPmuy*aD@(x|!
z-=%%T#Khe4Eu%AwBb$5J&Y;5P3k!?MoH8zCf75$)bu~0J#4UMoaiO57*k65aZM^Nx
zmxgRp5cQ(&l9w=cD`?#DvcVJW<n!KDqmx?A?|b^L26mAgr4j-RMz}+BxsWvOo55m@
z3uT0D!0?3QX2JfuYW7U(&)rM`pXE!e(@PE|rs4=sF=0-Pe9}vIzo9E(2Uc}wvr9}f
z`D|Hm$6L&yIa(SnPo}qH>r0`vb6}{<vF_&Uh+q^1N&05$(8*h5qI$T&t}fMC9`!+I
zfhO$JU`mR02IdX6DC5;yCCG6!(F+vv0q~-e<w~6q`3CgY=Rm|oM%dsr{3_*zi%O+3
z5C53l%^5KY4>$r{&svi+i~Szlqj4eWc~+CkoM9+i(T<c2zX%bgXD50)P!#j~K|~-%
z>cYZ2J#;SfJm`jq1=NUNM5Q_vMdWm2ITsriqd^jGWzBC4@^0%jkk-B3K5Lj$Y!%In
z<)FvUE1IB5G}2xsjv-Na_Wn$X;?;<SicOxu^EH(0ly-{I@hjmrlUp4Z;&X}y<ToV$
z-;ZwJYCsm%`cexN>`jWeq<i~uw);pet~x$*v{PtSV8{S@`NEgi$=gxd8W4C8;y+)@
zf>~YKE&Rb1;ZV(CO(#+RuvtCX`cl4cx%cv;hY}zlPmEpV%n-0o%qXK;9hiD1=w2$}
zfK=W1hBk}c>aMiAQ&W-QbP;`+wbrl*0&rII5JH^}&4O3EFLbstzhkqv7MgK%fA{4%
zE0&*u@zZMQM;jA_i!!K}y|?gN#IPO7P9K1+e!dlfpp6s@O9_V3Ri~0S0H0YcT@LSE
zviZ4JAw%pu;h=yem!#C*U?8(7&+}P~tk+<Ct2A=M<p_p~Q+C!~m~OAU<yb}3&=a_M
z$heZVQoqc7PMgZWW|&KP09B!KaR3kG6@ul?o#;pm5g<i>k7dklef9n89AvS~MN|o;
zD_)2c8k0PcN*}fA?QXe5f9|r|%yVwrp9NO^l3cgtlBUg5hj_uNC$Zi0H&V1({Za<!
z5V}A3OdxYYH$;;N5q`Dm4Zp4dz0`32tdusw6fv?F-maR$hx54k?YS1}B{`ev>#+*U
zm73=bsLpO{NB1_Uq~(IC5p~yA$NVmL4~=Rij=+xFaz`SA#Kt@r1qSfGGz_u+>#mV)
zT9VN=yZw2LID2yv-X~g}x18qSF*u5&!`sW{Wba(k35H@TXO*kL>0oaD5nU5}S--PH
zJi1A#H9UHF%!C&4m`E>N<(C@#q+)2Oy7EKiTd}34COaOHz2r|NzPnBir-)toQsyi)
zJ&nvc+&2UtZ?qED2O-F>4pbLa_6sW0Iw?@GXW$iK9UJbo<iGEVUBU6>*O|+^3<1Uc
z`WZw(H6mT-Kux<nOa}q}=ExB|CaSXyNo$%`#vP%xDtX1*kD=~N!mR)7w^#HBVy$wP
zp1nahXYVV+?4R4+s4Pt_uLpOc<%>u4yEUgxK_jh6u3q1`5d0au&TbYyLJ2|un$EO!
zwKt@nj*a%H-SMKf2{V9R%}8puCJbIFg6;tm3#zErEDNy|wr^Tl&pSqUQ-W;ZuUG`S
zqtyxOL8pBrz*A33_bzzJ58NC@Qhbldt{ou>U7JOa)=tRba?5YNJ@OGQ>>?{$d~c?@
z$gip+N}RgdeyTt$FNP7xP_eGVZJfpejN@xS`rPf8cb3EAXUC#M7y$sur3|)O9xrYO
zi6;gPDF-|+C^${rnSUnHH%79}M9JCP=oOQ(;gA5Iz{No2m7s*>X5E%<&XX6#%;$#i
zmK{m}fN^Q2EY0KY-V@++H{aZg97tU9xReeH0AM`&gxh<&ITYx+{}f!n>_`H(Fb&YZ
zpK8xI(Ph(t1L&lP1&-}I<Y0@+!=^<5g2k?Ou%|A1Vun<aCGzl)v920rAmT+}5DJ8-
zy<#ty8{a-xK?4d86EsI_)wo#zfV%wB;$#XKQa#ku$KX~!OpmXKf2Q^CWZM{V19#Qm
z$c}58>CKBQVl8Y#gu<7&-<g{mO}dilBRf`goj?ITRI?$sO$`*<uaH{p$?+6>yQf{`
z?W4!pA7tM^JGs(ua2%+ufzSsNA_=Zd{mP@u>0K0*sQ^EFk(kwmjgVz**_qt3S4b9E
zP`c7mE^o?;Z0T!dKGkwCwXJS>+`2uO1+xX3?~6@(zt}zcnfwSaTEZ$UO_0hI|L~&l
z1txF&)1So%8hDhtrm*C^t52J_)b+Ps7n)uB#i%tllnCY2OM+z4N+r+6iu<!JR~<#5
z_Z<R^@I!4LYn73C<vd|1L&ZF-<gIm!`#e88n;-)1GXGbTwD4BvR_lF=2SPOZBKp#)
ziW=xQxBBKxd8m9}Q19eao=A7p$&BiHabU$<z-P6(`7}YzuY(_3dNFPt<Cj-2x2$ub
z-b{C+R#QiCR|Z0v^q-~EXIM5kQBBs0_<cSDm0ki1uc?;sU87LmCPMAyqqcK@6Xd#Z
z2n0aep-v9Qz_*Wpsc7pFHJ6P_gnLSSB=CI}tFtxGw)b*0eC2e~3Dc1I4eRZh<`#f0
zsd4GFkq5hF)pqhyme?Kv;G#apJWJ?^*h&!V*5be2e5?qE1h^M~^~rG9OKC-5BezjE
z4KFx{=UEk%{JP@z3+G$!ihVECB5~0rx`iu({<(9Y>MlRVT^0=Fx2IvK@9$n9Hp}yY
zG^oHn8;lD{eJ}Nzi^fG{SSJl1=8a0D^t&|e!-(F*b4>|i;)jjKM@Sd|;7dZN%FxVr
z{<<3hL;2XB-0NKjC5eS+FUQx%kR66hZ-4w$_ksG!av7AJp_vFvca_v~e;2-Y^<@0W
zWglK4`?P!e!Q+V|2#S{bG$dqUD=OBT+IGW3YG3nvOBUDZczh@}gHDqR$zJU#$3s}k
zg%yGQ%!^<~O7=5Pq=K1}u=Gmkk;F=hrf*@TBd$yPBxMAA-@WUt*Tt$`GXypw3^S(U
za~JX7Y2Y)$keBw?{IyV{MiZp@QUG9VxVaWKL&rKC0$@3t&ey44^)PszaEJ*%-DR=c
z@a9nlJiwY?o!ekvCO~`e8;!}pd}bp!eH|a$2*R0(Z1%Et*uf%CqNO9P`f_dVKGn5*
zm(3U|t?B*jxZIS12>|%WRUJ3;8-hfMb#6P)E>~TuPbo<@wO&V)4+jKEI&(R&!(0vA
zx8rMDo{zA=VgN^baBQJ_xA(cRC0S1x!scr_yYY?G<e@j6-SC5W49;C(Lb2NM<uXJo
zSBeU!X=ytK#$>;yH_)ic?A~nE7Bm{$N?dAbF1mUi^mp-Yw_(kCe)v6W*zq2hfN#?B
z?7jW*NVqd2&8jXs=y+&^7V8id*SJIwV)gk+L#)}Ef5UREiF)l21=l*Ex${0Nq4Wg*
zXxs$G*635=bvC&LnXpA8-y|)_8=u>ghJ)r~QNBvPwdpbA(0JU(ZLQUFN6Tys2!P|<
zy;enK<cyYi%=Ns&Gv=)@O&=^2o4QLn%cGcQN&^vKE=6<W*OLV3R94-!I{!Q>Q)L0e
z$6b0}J`_(=9w5g)t@}hGx3HMO2EpS6t109{_SQ<A%r{?#Q?Fkma29<9UPx4nqFu>e
zk;w<u%7f%5npclM)fROG3B3N2icASb6M9j49Y|xj$>jblP$+e+5w$^U?nIoU*QcYD
zOHoxzlv6(j78<u$p)aa72EL^xM<+1fc(u=Ps;i3WgOgY6fGN;VSI6pIiqzdeaVZ-U
z3-u}6ot=LY8=I@<=x1oa;*O=2EtGt(L$@O!ABA#y`?Es3&0c*dAt(yj%57X~n#4SO
z#(;(l`V*4S^ap}T^x3KL@D&0zPackEok+$o0?~rh(Z;9p=a8Z9TC@l$0w{nErW<pW
zn8lIxY;DDD!mE*pU@soBa)k-c>DRs{XNS|{LD#T$cEh)Kn2uIjyq4Sn8G5Ex(|HB2
z>^f1ma5=kyU!E1!)y1t_ouEItS>vY1#|uw=izqE`@fv+zxcA_Dqo_nZJw7h)dO8IH
zkxx8UYiejvpU#%bQ8F_#=O|FUQIsNAG#Whnt$iM=$>1mK2hWCvr0m*fCnpu>nNuCk
zs4zmZv&rHYrd8K2?_Y<#jt4XYUpd-M7;#WgP@ph9czAfQLfPK8n^exLsHhBl3<wC=
zy0PeGwA>rZ9B8)zi#ke5oTxQaK*{Ls@XKBb_5r;C0UMsZBD49`?yKu*@$37${BuuO
z>w^b=>fg(@i-@<%<V#KOe#p}p;4MU^vF!?4kcYhi%g}!)QM1=t2#VHEe^l&0L~7qF
zwLgmjG~_2wPhfEJTWBUWHsukOPTQueEXZD4w3({v-z{De4<A1zB}F``gK=o7NmHXy
zh_s-zl>D}^qpeMVOZhE8PFtG}D^xs5K~<H5m6afWEhQ<5l0s^oQ%7B$Dlt~wK@!|V
zMNI^JBeU`)xVOB~Jv==<x0OBt0EvT`!9uSV?W&X*e<f5wLBS#ugeAZid=5%^1wT>8
zt0*f+%akg~VEPNZKaH*8uY0tBl8r2#5xEkIR`Xn{vyF&|Nc(*P$H&L@<IY~7&Fkvo
zI}ni6inUyx9~=PyE(`nJ5oMVZ&-)7_5fNA}#dxH_Wl4}z!kJ6c_wVp{%3)cY<6j{F
zkdTmZJc7NY{A1CqQTCQcbLBEJGHD;dEjl`SOX>~N4#+5j5?iOyi;x8WDU$D@uP@(X
zMN#8-!{buaa;&s@HgWhZmRB1bB}3$F{pTjB@aRPVY7Gtr6-2LI&zYq;>8S=pL`0o|
z$ciX0*`kqsKg>I)IOs1`>5=M*LLgF8tJN!we<US2B;@4f<>ll=u_$L-UxdHXx=02H
ztVo){0qQtGbL!~nB<R<cF$0XknR4)yc%#V8-;<fq64a}=iZBKsl0h5^c_7iL1^+_$
zAH|CZ7@QHRMJXnS4QOmez3#&Me5!Sx0M<nsU*C85S!{@`C%_-$_D^wT`%0yHl2hf;
zj<U+Wk(+gI4ajk%$;}7k)bu7(v++FqFG7F~;^Akh>Z64`;AcMDI;MapB){O(6K!B|
zwaM9LIH*rvfALHHAhdx6sXJ^&_P$!7p6K0cE?>)T{AwUmI<7RylT?1mL_$Wc!gsPc
znq{VNhmLuX&7#wrCTjD4myDkLTx~_9k!daph+z~ZI&9^OHRdkbM+K|I%7ABEni*-f
zV{TH0mgm9w-QfflNGM*Vgu*ubm=QwYCF951oOk1_xV+}cuZ5$$(q?7S*9!q6jw0SI
zwlk}>56O)8OW!n8XUl~s@jxi0*}NjC947C)wyFN1NnMXgDC7Itt8bH-mX~o(CSdP*
z{yZ=6KB~eQOOJ}6u;`!shn<ev7FAG9<d&;D#3yeUd#zYhz<tspkxp<k-n{|h+8s+B
zs&nwM$Z=;LZBT3`u9}t;@f)Rv)>l1DcXk%Na62B4`F)p`d8*Ph@tauS35nTR2viBF
zi7w>^n`8O)`U4HE@(cgBh|E`cG92xNJH$?Va{cxO!KZlbW*oS?7*>q@<Jd+5<G<<J
zre><XR-C&>!S_+l5b?vHkAW++s(31!OW%LFgrpNm8~u<tuMAbSzg`mkftdBVqh5ld
zitkRZ7x_GH6>TD`G?n{hcm9_N*Et+{AMxo5p+eA{b)BNdyv#VJw_+Uow&|zd-HR?_
z{<}t1m2Ox%#QvdCaNCXJxG36)q?;0dc0KoPF0hfPingE3Ci)l;-$;Z;QfwwVamhnT
zX<<s;Qr`o*+IX;<P5z$j`)5jyYL#7BHjy#@7_dy+86O8^)me7$p~RfF^7J67>e644
zb@#MdNcUgbJ3#6SiBT|*T4(Wqb>>Sp4pVC!URAHHi6V0^T4&omzt3)joP|Ak*cRbN
zg#-A^41J&6&60HCS{HRH)@?Kz4Q}M}ot020xSrkTnWx(>&vS+=)oDCF8`gqo!`EGY
zxO{A@{^sthJ9T}XEImACa6O;G@A3V^YXg6Arlf1EP3l~u)pKAOYFa2g76jm{j``j^
zSh?z?fR!t4Nu)5$KGtO7Bi9$Y0N3r~5)9RzwAEUJ&4KNrmWT7JP11LJgG!@#;5i)Z
z6dL|)o96WZnSKZeXkEd=ENj8M31gbyg{nR|?RCBNv$2J{r@tWB<royXI6A1#nuQFh
zK%P^&A1vx6!gMxL9-|<Zp$c0(KJSsQZ(_CV^p~Gxf3l+hGMsPJBJ$(BPD2s3xsHp@
zSS{4wWCu%nhYyK0J`aK-dt~k|P_W?uVv2q(8kGi@9jLn}^(oP}S4TIlidbd3-2Lvu
z{Yk3*neO~)tcSfH^j14v7G?R)b2vm+BeB6Z?Cbq{eReOyJZ5TCtk>?|LV<zFsjQ_u
zYpy>Ga7)bAx+7OnkE*Gq0U_()05;Xw(AXdH{Rl6&MORK+C_{b8Q%4f|w@DG{<wROo
zp!Br{S<~A;VzEykQ*MmnUS?bj0hJ+^hNdx*TTVu;%fbd`)ygilwl7V@{x;2sOtJwh
zW;W9$zdvSqkzZiLE6Li#kloVv6q^SntvN;KQst3zy;`-l_#ykCb93}khc`m1FXY+F
zr9U{s7woA4U|xkm_Y6M*`kBtTx@B7&Der(^S0^J#N_lDI8~E4{UAH!KeueuL*<^U^
zyHY)OZ{~O9@b8Q%_>S-$=E;<h+<@TAz}grfe$kG}V-VKj5p_+?ej%<QGsICNzUuAB
zyQ)7QFxR|-6ml7uGCB&U=Gc^wIMd?xwb4&Av%S?St@gp=@{H}97cAvlexMWQ%ohWp
ziO#6dS)yi->sd(ij{Cy`w4sJZD%VrCoxb&4_&);@EQ0_3Hj6L|7jLl=3P8t|h4vfM
zytCbH{h7;l_?l=5*^cLt6ok*t35WaJbT{CK&Fe`g<Vc$=uKn5wFSb?bM*8!M_7X{x
z2DJqjPtVo^=~&4WVlDSER@3tY*<&*RK!CXBqK#qo0m=GQNiLA~&6S1hm`Q|2qg|Gp
z_|~&(StI%-N13fY0I+xCN5>R0xWR@#PYIxO&k4nxP?|kefK$T5q|8C1iptSJ9Ui}!
zZ}~UDAD8HSns~c_h}Ls-p0?ah(E1S{g|E0GsnK!Tg%ALkb{s6(eaF+w_+M%~Q|$Vh
zyBv??mGw&?FEpg9>O$%IF^{snyo*|YkAQ}d3#9#ks}1rNXo6!)m?Y64AnDWH1JyV@
z*sB{AH4K<7YkG3)+KZq#$xrAkMt(H50s!C#H>^{E_D_+akBL_J_Xobjji-f1A7O;8
zl1lsxc4zjEP$6r)0RWvhfS)K%4tq`5=4$GD-=OKS0VZIzV`{#@lpyjJ@Rm+{`6d!R
z;4{SYZqd4yb(*iWjXoeJ7$%q5%W6%m(W(r!X1cn+no}5Xm0JDX^Z|N1^&uaaDX=my
z9L|kZx8GH<O(qIl_!4gRKdAcoN^7dTQ@oP3e_i&3#8IVV;q^=cei1cDiwhW=@Ds>X
zLXVH~)&~drnak$_@)lv5lWAM{iRjLeH(ksTaF!7S4Tl3Y<;Rf2zi@V6kL%1pjx$B+
zd@|^duGcK*nh*fFtMX0;UwKMx@dp=sNt&@S4`3RRu)M#PK{tbbI-5eEdzc>JC-}l-
z{90ezb&^nAf7=kCc<T9{S}|q#L~S}|m|d;G`Eq&irMv)F;fwsmZkAaJb1LM_soL)T
z3G+~cOJb<1%PBIs9NFLOBx=TKwP1lbD2-P})=;{BEf>N^fhc*)=xkbb>YQH}McXF8
zDPl9y1$i0Gi|d9$mVr)P*iz_X+N7vQMoy;}7TmYo-1*Zh+mP^VLPesCt0u>7T5_<-
zrw=JQ6r5_$;0gr@sTsmH%L*{q2kXUtF_-Z^2Pfhi-I}<6m;4Y*?c-SCmPQSuNz+W5
zsl?Sbo38Vus5ZN`Od=etV~~(up#){_Z?VYE=G;$QzPNwC3$AWjNhi#IPGtMMVzbr=
z4tg%=t36{zmD09WBYMg~cP@^^m7yC9I)i!c^k>Q%Q?OqW>~|wFRfM!$X$6L{O0~Zz
zxE!Hp44Y&z4_a7+C}s;r+N9QQ^6`1Jte(B}QfaWLdgv=VyB-Gq>{1|NV6c4LVaa8;
zf7Sv&lkW$g4UR#Q`^dfxM`L9iPthjjrrQMCzQ~HKyTAs!^Nnt>2>|_k^DL5KtJo55
zFtXsiXK#-I7=VBEIaixXj}Ic+;y}3n$ka-!dB1!N3&leRkfRPS%<p%P*6u&Fha~=o
z5doN*Z$N5VGs6&t-g;_s=fAh9U-1bIfW!qXOMUY)_y0RXe<P~JU$eVW(v8nM_w5VS
zGb#>7+{JTlq|?K)-*p?St1aVQ%MSGFJxNv9i@!X?Ug@Mo3bz!INv_>j*xV~=pKWpS
zoZR9-K7Ho!<1<*+Vw;f=?bUlx4<0?;tqC{x_Ln7Oo4xMV;P6C-%DeYwms;{RJ5@r?
zI*w6YdAMQm2DjHy6-%HUP<C~<H^o-9^_R`5?U$QFUqNT&(FLHvcOuDN<B15vl#=$m
zL`?(0SkF+pna24nscI`f!lQ(4UXo_gmx`+IV~}(irzm&jM5SNHloV(2>&Zv16BQv6
zuD$Og9@&*=hB5XUMf&)O?*xdz{?BqPZY>Zu23W?=WCEu=;LDB5oZyd;SoP`(`s@bU
zollzX>Fo$F<AIfV>D|EgO1vZuSDb`o4Ywo^MPUOKrDyFpHVHXtRmbhuZAIn?!wpp0
z<Ezy~%y6>;0BsNe0NWX#9gV5Cj@vge@9(kkPC-xOo__f8Gcl9T8|izY^x&lOgM?Gn
zYf0-yi)lB$uMe*D6L*%Wy|x!@&?qZDZ=cqqqt4I%j?2_}(SyaQ>p2`irEi_YxGNBr
zMIE0?WAR+?K3-}yqvFC`ev?G7q>2h~n_Q8N#a5FA7+Y4-WqTnr-ClY<oQfA^;HuUK
z1(#g<N2<a|5q1&u;hll*erC%{wWfupuJUJoI4b}AZ3_$eUGTn;Y_ZJ*@lqueg9YxC
zL1QRK7DJ&3W}&?{qt7Di?u8k*P>EiMj@v+w)wVw0I(u?W!c>0B742vrVc@%EB2aZ=
zjw&=IEes56>KRr!I9>xNam4HOX^KPZ%61963x#Dx&9m;FnN|yx$YVC=u;JDySHE)}
zDz46#AO2->|8vKZ>+=z}YGUmTo(CdCkgsGgH;ASbs;xm36Kpw@?c;h#kyM(EjK7<G
zS1r=%{^PCn`$8fi^1E*7E@xv>Wa(ACBSSd5U46Wr&ZS}Z>VX<(lh@_aqW#7C>xxjc
zo-g>!@X!LYJ>8uk#arCK85PgugY2GLJoWKhW#W<-8tkM<oNZ&92vv%VMUR(SGOyOv
z`d>?WZS3RntRGVso!i>HE?Yk@1aXhjF)-M~@}L377w~>dZh9tW<_d6wRM@aSq_Tlp
z82SE=%!QZey>+<0VNu0nU3|Q<g#`_6?-ea*-f<CEN>I??Y^@!w0P}sF9CSQNAc_(7
z=^g^$&NK|{YWx7&_P+Hz{D#P<X+&lZ@Cgl-R8&N-Un@G|vo<rEUs{r)zT2s(S#DsU
z#TpzL8Id3*Il&2U|El!nMGG}=VnTt3IYRx%j~|YQjW~E3;7FB93|d#!^>*E9Nu+_5
zojnGTFJ)PJkd~Gf+{J>m6l6SBc)oO>CPX3eRR%S$1Rl~ekuzEQ;>8T1D&y1#kCTRK
zzC}wNg0wDQCP=Z-G#c<KcWadlBQ@!}($KO=6Q&379!1S1Xs)t3>Ib!_deg%YL2vwM
zPlgz>E-2OJ4PF_Ylh#w;qr|yztCJOWe77sW4m=G0VF7rNL%&N5*i1WLBr%&rq{yo#
zf655jQhuXay5u?XZm)h=lbwEjQ*RabN!i_iX|p+$<*ymi#4xe)mUYpt+diX67~A6!
zH*K>z(wRZ6>h|OCe5ZOP_s4PptATI$*c^2g4?G`6I9tA`tO3)<f4#%nXp-9RlNU35
z8mm0bt?EQ_{T=f+QHWhsAa?Do>2*%)Vzb6=89K+r>V5<-Fo--GEp0%Pva;YsXVWDo
z@NmR!S#(i_Kq~&)9=?pX)^iu=@X|fBktmyPj0M!_kQ_>EF0=LhLm5QfLJMoAh<(dv
z!6lT09zc|(CE%+<&pX%UhZVTHlW@sBZ#q5{0k4n%)6ZWAVQs3z4oMh3dJ-2#w!A8t
zwwh*_ae>JTq}po>3Ja1`i&Xel?U;T;D=VuH=AYmC_ZyOm)yh@Z)NF9dbR;Jy<Au*y
zkp~Hpz6<UCAeBiuVCa;>k|{?Cz61K33%@Yp;LKR<<cobcFmN5@5Xe>7zp_?;u&dXi
z#OPSN4QOa+kT_X<wLA;>oT)`m9JMBys}L>5`o0|wOj7uML*RpEKKo(`Bvcw#(+q+#
zzySEDGa!dtf+Gq*MHLz1tS}VdOhZN<U4NIi_>vfA+R=^~P97#8M#Gvo2;t!BKq$W;
zUV2w}2=Bl&c=@$f>~Z-!aEaT%E?zpBRh%oRJ||~uy)$S_>fDT5lP{x8%kDsnF<xqb
z2>=*M;gIE$ecT>Qq@tqQl8R@7d%g=+-R(_CNEl3Hh<$NQpwk2`$=6|@dn%VuaVesc
zOZ`$DSYZHb4eyLC<wdFKl_rO8cK!XAiEe4)*X(x>4+r~>!zmJAOG`$E+{8Qzrq^Nt
zV!K81>sQA8H8^N!N{i{0wMN)1b2|_(5Ez7nJ8@s0m9=rQ+_)uGEyvo5aHm$k6=|Qi
zU-vzgjhL9&^SShgJQ&{?&ETgnDU8vpckfrC1V**0SHL!+m~75wP)x0lfFoxgYhH&q
z@L#l6{lhnc&3XU8{Ck!(<<UX*hE)maPmql0BX8H(l%ZbT&mRnMM-lGyfz7R+${p#F
zIjp_y>P{;6Lb72pN%_o6iDDl}rGVnzkn)NmR@=tD`qK%NIb{x_=cfJ?AUC_y0wlLC
zeOur%qo(@@c}1ruB=cMGUFIK1fVU=`Frwe-AiJa9EFENQaF)^@qfrg($<;JV6Uq1L
zqfuNTwcsebTQdgdQ+3uzAVP>%Q-lvPJ1mJ0SrYX&ud>_)x@n;%f(ZkiZSK&I=0HDU
z8_pkHO-{EBYVo3YN?Hm76?8_(<Og%#1EJ&DB|f0Nk&t9PBQ+oRSu#-gv8*?qVQ|XU
zN{QvY`7zXqUwXSu*1pkR13H@#*q;)qafkT!_8Zs7FXKNYd%a${PBsP8C5m<sV!R(W
z%jGg5z-idh@^PC@G-|zWsrhQ5Y78N+rUYSmdwi+t>@11ktP;;x-gR{-YXcuhz*z$}
zRe;@>dxmHyXv(R4eKx#x61@0@!6=PDxg4BzOxPSs>2LWhQ0)-Z!e$?e``yvCsXmkK
z;^fx07hx!pQ6Eq6!M2-MK_Iq(&ERk5XPEHR-F+~vi8N6n@lmE^;pEX`X3gBRq6J+q
zG;Z!s*#P)@M5!6g;}3q3;~4M@DF)_-zL5%Uh}iL|2G8P+ybMQUxe~R?7ENK8+TJhO
zXr3#F@q;T2d+CiMmag2-ZB6@hnzIj5XJ5<P3en46Unbk5+{nm^!MO@0{ot%DuzpAL
z)dm@*^hqG^=_T`8lzA9SThlT^Vd#NdX!6DK$L^`7a|w^NXWy#&`9);)>M}NE{;65q
z7d%2}$orINJL}hqQwJpM)0<r$p(n%0(c-ouWpCY*W12+m(YQ9<$5T;@rCaBdla#i`
zie>MH$M<A{MbRy*{A_BjYzJkLJPCch#jSN$XV|9=o1sf|;g-E+DA`_iFE8a>mQ}5S
zNyiJ5CMr0*_jXOWHK6M%-7d*lX&0Nsod7~9@bVfZNDKY;<Bm9+^vZFX=!kTro6<gs
zf2hloU>j18w<DXqk@`bu@dSB2DBzM38xaek?W(D8R(JfXx;>SFvV}5Ap783*iU1cy
z&8T2f{At;nNhf0ytkCNqq{^90pHr{EKjW<p+WbRtlBgp}i`U6QuKaGcP&PLAY!Gxn
zb8#+mdWAzb0Z)I?qH1S0OY&8ZSH*?_hbI!i^?cD26#(dpw<W<oX`(GfuPk0Nrq^Na
z4@3d`K>tB75FcKhS>PTO*dr;*rg{u%ef@Gxi5F!b+i4?0Zlt0}tKIyJB~t~08dI*8
z1Z#DUm_m%eQv1XQ*<T)XFw3g+eyzuiutw^2Qop|L-_l6MW_G?I(#PS7V0Jt8gZk|V
zH1Xu%V%L<p*AET%rv1RXnobU5%Jl6bc#fX2!Znf6iBM-Nr~QE7SdoXp_j)-*Cu4Y3
zDvz|U>4o~6Pe`s~>;CF{3t!TMP2ua!<F@|jj#?XODe(r;tuK0G!e26PDqPj8%kAse
z=Q3EyPDR;ObJiD!CB8N=Z_)3Y7Ok)8OyOj&HrAfO@bVU`!72<k3Iyv}O>TcAt@jyp
z($^k0L6a8=1LPydZt8<PZn0C}n_r90ehb6s!_T<oowEuh2>2%O(%N&T9z1bfu0Bde
zOc7v3pym0vB{?d&&p;&lk^Gq{C;`pk=EogfD;(heuu9zi!)|d1t0l7@<lx_Ak55kz
zCI2U8p<bp>mXWjF<zbL=^{m=!&#gijWx|JE;u>@PG~Rhv6||UIm)ZL{WP2^6+79=x
zYDJoR?lpYbVUq!8&&yuFK8o0?HyM-S!vKsT9m+o^9~^Ak+ynn-`y&5#_ApM~;<n6b
zvK#QfS|UX%$T%aLTGyD4TBQW6uh}Z}eovP^s9Pj&`(9J3@RO6Bn#e`}-Eu(qyee4j
zkh9P4UH{x(In=>yji{_D2^u@f*73JCH=D8kG(bfee{KOKx?tt*SyfUhUD{0r*_Q7<
z4ahGlA`!?0T!@_Tn{6}y4T^9%twiMwzqC*=JlT&|N#n{u96A?YIymDRYc~yc(=?5i
zIn#w@{>ukQs<_eQyjElbokwcaBmJcxUvAqDiTu0ad2iBrh)e^(?jV18!Y#Y~@)QAq
z)p(x@=rK&4{P>jOUjC6iJ(2F>%<1HjmQc0Udu+fc%KJ+mZXf`BFTXl7JJ!%cF}UD$
zzk}f7KV6Z1(JbXy)6WzD6CjlFBFa-+&3&a?*Eq{zXQ()l!pG{ad!M|rqjb?O2P@)N
zm#rCpO&&N)vHp))Jf{WG-@d}4{GYN9*3`gwl(po}BD!dm7%0<qGz$}Sf|p+H-t!ii
z5HXxX*w3!%C(BTK;%&6&J@vc$ME=BmG#FwqvtgwoE;QdC$eYvgEq)o&!FEVwfshso
z<pK_3qH)@g7pTqbIy6J|Lv(ItrZ8utzlPBju1`9+*{Z3DJ0QD)igOd!pmKaIKr%LD
z?>th70+3v33f5G!fTSYweMtWCN?hmN$L^XX&7hTE#RIAN1%-I%(kk|&cHoH@_p>F5
zX`t3v<y#1Z=b8idFmW~eE@XgO5k}!)fT1tL!N<F#&&Fda;_Yv2+~*FBJ-IjB&?5G$
zZG|yJGJ^J5MwJ|&3=|q(u8^&j9&Dz6OHRa(&CAi0^Pl$IS%bD!nLWJ+28x8kgOI8x
zK!7ESfe4MMxe!R7{}P;lK&x<Un`5j`*}=M^7*?f&qibhBjQ!w#SU7)YZFZj)u<Ec8
zPRn@xM3eaGXB8C7U@!p+MJ&try<jQw5o71Y1Zh>(#P%;?@!M!@A4RvZ{OFVr=xAwi
zuGx}`)AQMc6cq&p1?z=$b#?RVlEMtk5l-J>Eo%->&CC$d4T`?iXEE5as|Q6#56qnI
zB&^)u-~S-M&x&BeDQuq|A15L7xNI*h!zd{(#;LAOD*h&P#s=15zN71VhIa5asMNjN
zpajK+{=9|;aJJYOC&+ro8BvLZtnABgmM^TMla3qwooNr~H)_b-4^14MGG7Sm9aW84
z1cHraL+Ohz%a!@Ki6ecoWqAJT&7Zx$Q0L<C;{Fp!(4vSQ!sHh+?sIAp$YvKLd&hrB
zTyBTEl>wI}*M=?hn-g}$rfpJ`+<PQpSx56W^f~<pJ^a5>$KOA33i7eDvvY7HijeUJ
zD3V4?W$-O8HCZSqIyzpb@i<drAiPlo@36A6G7zx7z7EcFKM=(B8zN%UgA-M-{EG+;
zC7bP$&lU;CValo$qQuZ?_0pzKM3<gO=r^RrvS{~(p<I}L4hanfi$(I?xv2t0I=aS~
zA`5eKQc}`BnAL#+^MN?)`n_7~<qf;~Enj}`7Z19U((O-R-Zh=q^>b-BnP`NAz5OBW
zyI`T&QteoY+yN#J$+9G=osIy+cv+8|BXwhAa;{#G)DL|lqiJ;oO-=X189KZ6+N!El
z?&`&>Z;Q1ys^Ab9@ukW25}Zl%NFpF0WMyafSC4mhcP}p!t|*X1-6||t6m3c)FT!eK
zz6CO!baN6#=FuM0(b3rvcxSGQOvTA-3Tsl$YIc_|ERZ6*6NO7pE%XJNfOi;}Secso
zki)3R8VFuWE~YxNWJ{<obnBOkeZV`#3e~gw3`&Mcrcy7pt8Yqa_*%!@pobfKHYB*)
z^WmT0!5I<h=qfO!q#iHKrV1~>VYX{m-%Z;{&IYt=S53G9fk5nG(OFEs;INdA>$b99
zVgLoa#MabYq*<0{_MdYciK<0e&mA;mHi~vn)(tPhjjON>=4LNu`q6t>1D`DLzRi|5
z`Yzt)eIZ(+YS9p4aeg7a0r=^hq`>wtG6Mt5XnF_Ws2R-LR&DVO6$B2Td}}J3h<J|x
z<x~O&e8<tN*<68$npAkw4juORQ(vPKgdDNT2!2YNKk#lGke*sG;qoab`Wtw>OPp9_
zeh=$bjo~}7a@fF%;KMp`CC)kX`PgV$3M)IH>y$EP%mQDDFp4COyul0I)-n2~CP|7#
zIz<RSrOOdX-D31Ygw2yn!m=MPT58PVEM@Ad4>|+1T=@&xAc|2~S!_OQfe4#1S3G=3
zndFl@ZW@Q8IE=2sXbk(UD^6JmuhWJ&9b<Zx+q4kbwkYNQ9r>1OH<9cwjkBOC+DYQQ
zla6iA2HlrE3{A$}EMTmpK;@6@jdF}s^t1_(O7S_bVeMYOvV9)^7akmX<}RbIvzNIx
zH8T?22QOh%A$<%qmU8A$@neQ@h5Pf!b+r{`$(}q@DfWnsWn8awhth9%T6El4y{xAL
z?3dULrj;f~N&{)HhenRwnYR{x%v4%?82@zmJl`$b!_Yde5A+(~#I`rPE(!`#eRe!p
z$b@^Bl6q%WI|7^AztBiGT#a0UVMV6x2n_(p*>}e|#tz<idi?Sl@6W(aLK2IRw>a4L
zbkF*+lVHgP0IaC!%6G?p5!qx<gJ0oUe3D*<KaT}!uk;~U6EEAh4EHTW&A)8OkeKJ^
zTcQ;q-|&0B4(VGAXlnWjEVx%PLW6x5LII;nv*1jQ!T7*wP7YGq^sGElMRB2b{EaSb
zs-vE9_3x=aq!u}RKJ+7YT6!ycPe(#`Fi^1RosR6DfbRXp_v!p(nZ)t?aUf4_{4s|1
zIft;BVg#0h2fggmIaG3L3eh!Xfe>d@sDqwgLV)4UF1Xnb;NL5s_hKF7yfnGAuYh3(
zm*q};f3{;WH!nCCBV_4rj@h|59j(@54fIcve+wrrtaFw<cMMe&=7yQI#ODP!r<+Z}
z6kM6c9_~Jy26s1Q+&nB)0pHY*Pvb^me$1VE-)VA(bmAc~j8pEE(pqV4MIt(LY7g}v
zIczwb1`C-?MkxLIwm<QFxz}+5km6*=p(!95TlCrSLB>ha^=N<jThXjFj|Yn?;H*cr
z_T`E1tJPZi8n&Znv!>!7NO=d9n6$t31l3|sVPy-S;>KFDb^TCqH!D=Q*=4ekt)csB
z+Y3caQcuTKbP}uyc5jd8>g?_d%e;7>>%^us8y^bM{;}{N&>HSE2@z3Hb1@5I-I%WJ
zNM|B{^!PdR{LFdkbw+pcepNVq^T~K#EM2=<<w`?Rz6K(N+S~PdE_<W27~x^7lPbWr
z5%?f|sQRBFD{m^cr{OXv&4NF<?rOF#tZK2<^1<}TpW*bYEg+}hlWxg;x$An6{q53l
zpSzpWV-r>AEJNB>^N!(A(biaVhD`Fcfdc>kU%Yz_V$l4rKo`*UL)0WZ3B%?5V{N=H
zjy>tuh5UlYnC`;kgGz~itS-M|AUu3nrNR?mUpKNdGP+fO8^BjztFHAuW#<~v+>*(z
ze;lcZ{-}-Ee>mneW!QgmO#I%KU#gac8K1rVHk2@EWJS8nH53_+>CgyU|JIF#as=O+
zkDvGpn65;436;9kWk!rO*su@D@Hmt^b6;!8I~LS(RmpPjw4Ax@>lN3-hf`hUyPvpJ
zcnIy44;J?x%FKmMJ1(RCSBMK2v*kzQ)Pv)B|Nc<fax1nfHOa;@7R+J0M1*h<Qb<_n
z0_&FBOUBk#YeqCZTU_sw1^A&b0OykiK?ca|A|HTA^)AQbgR0(iKgm;D)2UUhRCSdH
z)?xmU*%JLvnJshC<6O&y$XWKxyGuSN5J15GHU$U|#-wA;AIus9!6hiESDK=&$)_Og
zM3?)unOqiaTC1j(7To~!+aP8`@t?Zx8hrLs3-RdFlBB1tF;%xDJ2pC-U0`bS7*10k
zBeC0pyaLP$-iTq-<P?<ZR{jlU3qHrV0a--{O&(=r*}+yJo;ALTtD??I^Q!x-C{AUs
zvlE>CQv#SE{xzU~GNZf+W~qD*8n$OHzo!}C003G_sw%^=kkN8E4_?iq)PuGz&(B3Z
zxEJ7YMjPDg+Eb-r;dQ-__)uo=*53?K?KZPTrAVwsVFzeMVCuuJALa>>0RX~4;%H2r
z){Be7ciBAYb=evymF!0;)ewO9w4sf*H$&(A^e4JCR$E1gUeMUpe^XefzbUM>`vlSN
z3^sZr;yvKKMnl6f@jHY7$cItY&iW;8nB|o&KrA`dzkqGNIh9%R*^MhA0_lvOsfxta
zChz(*>+9uvAvx02YCN{`Me&Q7lq5xyUoI0DiFv^e_hyZpW3?f|aJooNDqkUO3?vO_
zILe;_E+k%BhKz!R&<;T^udrXxGh2u&%QvBL6-R3{!FGzO*oemwa3LB7OUWl6R_jvh
z+^Z-OY<a)fZ;ffI)`VLnx(0T0zS{Ikvy@coTwmEH&y9vgxsc!lOvEQga@1BqB1_X@
zfRi9O4B@_Nx&Pv-0SExO=QsE$Ue<Z6m?)XI<>kQ7e|T-pfy)2jwTnNkXM}>R2EHPw
zwHl=5H4ZW!ZfMi%tT%^0Kju#aBQWs&VXrSZ%o<OXjw3r|i1H{ZKw4)L0D(D2xeMmI
z1Db=o42Gc6+Rr?_=b}x4)^Az~9%J(o6N*XMN$(FTl?^B;%MARoC_5%5J~X@!&!W2&
zPBvXv;|2i4n9+1tnbVeo#s!AF$9cUbGHqU{r;?hCGTC6i{u}BYX8#Y=+t`h#HJs^R
z<n}HQKJ=Z-5zv|U7m)F(OGC#76?N*NaANbg(EmyC&x*LOaq32#Pth^Pn+LBqd1G_h
zbBI2q)rBtOq`pnnOdj7yeI$)1P~)BLb~%7ev(D+8_<Fgl2YW{F0Bu<bl}tDau*G&I
z;_>e6-m7z!RpwIxYhf1osj$<>vghe$+S|zL6#85a_=5_;)|E5S^zN*9dxtkpsL7W^
z+Vw7f0#;wIN3ZPBI;zzkCX-|St9r1{ZshOX=0a;eIv|L8fgkV`lcbwa@^s?l_bn}i
z!;??tO9jq%sWI9%`Ts@Jf+kA&il%&3iT(r>_dLDFuyv`xY1M7BruP^6YPc2~9rZoS
z){;rxOZ7yoC&x6XclnvC<vb=TYTHi_0k@2Zf@CStu{%}`Q=D!VXVqoet95zERzpWW
zK$u`6`uZ{ZEjTA|oYI=bwphMmLrUFwooBRt&23g>gJ&1faXnldeR>8re$DdhzH463
z3}Txe?dOh`=9F*qWr!%tY`hk?VI*#}gel@YF;+FdLGY3dY26;Ge?r{?rQ2ZEnt!Gf
z6D8UFz>RFStNz7~x~<}cVbyjOG|*68R7TC@vi{uo{z*V5Q$Rz5Eg44W6-K}UztSW#
zS*t4wE#1C93PCQwyn_PvYoOHoPjB)<zJ%!P1mq8D_H&Y>Up3G>hYI+0-7q#^ZG7{k
zvLIQ<(Owx0xw6uCL~At&6%dRlTA`2&NF}j)m+g=>laFA=(4P3FABNaRXC)F`9hkM)
znSWb@1%$*v`r#vWX4C=Ee6igOtvf>+Q;1$Ia%j~G<yapDwp&+>mu?KjZX8}nEB&aA
zK56gLzrmz8d%ctjxRPRc%~ZiBM&xKY!Qs3o4%NNW9tmZYkwzS2t*|BFnyTw{%=;Vd
zvdNJnj@la&7uYDy8bF;00_31h$!dLXc5|`6Uj=cho7L*hIIOOT<W_GvwAN8PWDR0J
z5(dW*9(x~_)iG$CgBnA}yUNHy*k`v*zTQbyw)+iLn*p0404bPV$_V1Ssxu-XGfo~~
z)x17V-sTlIX-v8F$<bILv^9f{@`b}oC@JO4RlSuz|E#*b<S(Y*ibL6nLm`*Pjh&ZX
z#zlfvCb`ZJC)F#A1~ni{;e$@vB+0O0xYJ5E@@jITQw=^ATSv<)DnbEx!%`$VFaigZ
zoX9Zs4nQ3WihBFr#2)0aREdgUZ1ht{TzbU87V*0toDOd`x%Sz(3$V+bYBtGocj723
zmJ|b3WpXC%Z$#d~j5dRV6gVJ?v9`6)m$#n}o6+%W*91xFj4j8*E<%~HWOd#u6m-hy
zQ~~vag$Z^s3Iec)hdVZRb8^%=ugmru2KQ=mT{J%Yt)_K0C_Bd%3S}idmEYVa`cPtY
zsSx$pYSB|vK0)}t2Xf?twW|=}-d>CxB{k2_SSKW5d8AI*0VZl?HgskB#7)j0;<-41
z1^J<$Go$(qUr*al_vc>4&fIk{8Sh>r+h28I%btc8jS&xpmP<z209%9=XDH>%<buX{
zZ9kh4e^=K;-4eZ{AScDNzs0qIF?rLhco(nZ-%@6T2jd6(m#&sucs*|W8xIQnv&i>e
zH{i@21TF}Ti9tiVXGRFn2SdgW58CP};2PKS^YafY@L<8NsHn)n!Li*jH#Y~S&(Xl3
z{>JffN$CokbAC?F2Ouy_3!jjX5DxW3A_hCO8%#Z;1^fF`fpK!Pi4R5`I?Zm%T3S*g
zOsJ@+P=2NU7(|h`SNn=~?HugvL~Q19c6wS`T7rU5^=s~~u2d9JiHV87Ib(}Wa4GQ7
z@i7m$GFaTfp-PRGTrZ^GQ08~OrbkCcmYtvfJ=FkAEVDB+<3+9E<Kl)B0X6Cw`S@B|
zTGF);QozT#m<kRF2}xwojj_mXZhi(I@E?W0&w3I>peR))y5Mxv-chhKGcch8wr;ew
z)5^Amrs6VxRpjug3NP5(+k@*ydD*~4v*187F1HyRiWk<j$i<!=;T<M4RdxAlOH9yX
zAPf!+Ag~c`!I!g<B`JI}lg<RA(sl!$pH{4b{n`7nqVf&Qxag;+rw1lvxbI-Clye>H
zsVCCY(ya95%zkQ0c9i$@h!~lb6&Dv5mDmw|cA?g`9*^p1!oIorUGxhk-V+kA%#flp
zyGrc?i>Hf0eUp>1B8SOnL;a2O<O;RbTi^sIaZowo27DYa^KVl`Uo@y3eG^uEB*Nw=
z(m)hU(^_6Guf9-JSXjr#2Gd1YX}WHBaoPGiW@yTrKzW-Jqo>@CC-fQ34GV!1Z<|&#
z3zS1ST=-EpR}N*&ZsvVD-a7u$&z;otfNBSHw1|R1|G1R|2r7g54d~o75-TRmg!~>N
zN?3J_g~cs&$Kr~fDwE8&1~I1D(7B6O-*Ey+t1Cx1rpRcI)nNqPv6AtW!M_swj9pdX
zhWPTHOXA}l55kZ}sJqr30)8kdT7>d+@)fORC(Z|7hMp;_d-Xz9zRy%9$mTid>10!v
z8Snr(Q4aET9L&UD|Gku#Jh6fPAK3K05cH=4shWc3-mv|Xo`FO4b>w|LlhHt6KV<>t
z#N5t}f$;;J2k*?4qb^EWDDc`HgWGkp!nT3BjLt}1^)|@xYEBk2lk@IagO?x#Ve9$t
zMA#_zPj-UE%#5MV(_!?Uoy<be_|Y9EAU~4>Blp)oS%9nx@nZJ5*Q;li&=M*zMI*~w
zXWGtjTW@Y0L8g5it{JLO`r>kYRpxEUjo;u6Vgj$Frg~wHmnHQc;KCHORdf>2y-Y`y
zgCjDXYI7OhRhxB!3DiFiZr>`zpL$%wPrDXG^6FhXxR<YLtyT+HMWGI7$%ltKryd`O
zUo*ZVHiBwS2O~Iuug9Suc~BVcyJ*+Pdq`|Nx&rq`cobc%Q3!kR{;0nv_vrr~`<zS(
zyDE3Y(>Q0?L%UgDCWI^U!P$r*HewJZPIlQPW3Jgm<D&)1sIgDqAm6wN)F!nojjnI4
zbTrxFj)}cK2fZy7ZY#lGl|9y~!k)%$X1X(<gfsBw{q^e9rfa{3<`{L0&v}mwMwgDy
zGKkZ8+@4~z+uv~QJ4ckJaXa0-blpgscH#DV0?BEYJ^A<!yQkAC$*tU!X3w!SbsWt0
z;fOt&HkFh_7Sb|yygB*L4%zT!$(!4CPQMox;eSnz{_&1_un9LBD$uLKt>Qrc$-GmQ
z{#L1|9-D~Fmmdc@;<t~P!~dZlPW32^>EWV%nHV@vY3h33iBxvl%KajL#O{7lf6Q~5
zdC6d$uKOhday^u|soAN&O%4EH@R(IibV2ua$88u$hc$HVHHp+^fSP%p4_%#MDiYRs
zJZQHPaliOLzn)00b9WCWX_3JsZ9XS6*x9@y<jUD?Mm37W(F+#ZHIDB$X(f?W8;^1E
zP;MJ8&3sqLL-KVsPjDR>^Y4YBi347{nMNeY_WheABGz!a^}5H}tb3FVxH)8hNX`b|
zUtcv_oi5gQZy^91CbvW!I9^pJ_U?G#Mf(vH`^fYDc&^v+Hxx5fc!Qg}9?C`^IXLeI
z@84*vixnyE=e$Yxl*UNrJqKtpp)8Iv&i6L7{T|al9SX<4K%jV={}Ia<rvm?$+-Ohz
zQ7;(5c=e8?Q&R(=OOdWWGz1vhHn+g@DTr6zZ4zD>%XCtEz2OefnxvrIof18Mb9A9%
zZ9P@qCQXq*N6d9F4r@SWpnaB8r~vRuF3he78Nf^3u++cm!H)la69#3=7>@GyM1V`n
zd=6yizMk3h<WAZDe^!r*nf$IE#l5hsX`g6LIn}v|lpc<Pl)Ob<Qa9N=T`tpn2=)r{
zA1n-|sV=7b)X|)zF|_Z8I>!k2<{}-6K@Xht-e&ErnTB3y{y1SVc4X86UOr5BnIjZ#
z9vH(_pr^Ar@DBC-sRV@p_;61Q<I>1@sGPgeJnZCP*H`>0qg);nK!m@ev-80l(mpX6
zXuN)oNZCH#Iji_-R7%FL)oijDaru$<l!4E&ZOsPu@4xeS7QkI6W+Vz-sJs~SdlDgO
z{jig0MAO>1{N+m?3?&(#=1%bHeD#To2X1Tb)p;gEOCtmLwged0n|51<-}zaf3SqIm
zDMXhkUU4fxI9=6QrGGDl1r_}!8HN+U&En1ZQ156q_BnDtC35w<%&1LG2FonvW0$v=
zY)7xRJ!f0iWodrCGz!;!9va0+Z`{B-DuOHO%l;Sm-~YA%(YTeKQ|YX`Vwok-QWcC^
z@2vbuoO%F&8VlKsby|(*ZI{7o1b_35YWrn>PYQ6y*dFd`LtP~yTQZnU^B^<vB5q$z
zP0t094tsU@Ik@c+(WMfw-f8^$f1G^<P#s;kBnd%+yGw9)_u%gC!QF#f2p0&!-66QU
zySsaE_u%e3<p1B>+PC|*wstC2)Fs@xGv}U}>94!LJ|4AvmYYsbiiy2>rR^_GwyWa+
z2k@D4@n)5fc{&@h{L$d<-mWDSup<s|&c9agHeDzT*dL5S7_B41{4;Qg{~JW*;aKe~
z@$!{TtYhJ+)+iA$POL?M@VdRUBD!9E{!#6BS@f-($GAcB24OD*sMzf)#52%);vfp=
zB9cqO&`OUVWU3QiZ1%58mrG(xva~XrGHbgT#g*e@oxJ<!E5npNfXx`}ISr2SYdIB4
zLi#EV2uLsPfK>xXa@P!n4;cam?&t;qfOUZ4hDu`>%{VKixB~s*9nAa#C*CL05=F|D
zO~AYqwloA!LnDz`WUNtCgAB$9WN8RaFrfi%B<dwA!$e-X{vFja7R7#h2=)fgvqBYW
z;Z-U6JE71_r2>UdOyd+;KT<(Pf4d$Xj>~{<Kn(KS)(`Cu2>hQredBm|S;m7wM*e?*
zR1Bb?&^Z%L^cZ(c2sGO+^D60AHTYCSzNZn^G>F@t_of1^9U%usZBb^Qh_(z9E|m}H
zc+qSO^e};~t7cLNht%|)xOmfe+Ci<D?`x3c!vCDH-or;of--q`@#2rP!m34y#?BG5
zu=!C`@vWt9DOV`7ptO{%(uxi2Gk_!ADHH%Q$*Ed_lGNa*RBqM6O5OK3saybUZsQqM
zFAObJya&U<!TH<L2nQ*wtn38z=zaR(=hq2jw*Wni>FKMVA@tSN)!lLDUditc4-bJ}
zw;?jXL*~Vwp>uY9eH~Zt1N81WJ3DiRzm`MjlgF^JvI407Ra-0LH061cgJDLukJFNM
zH_v!xfBf}wRr6KwOmXWGu6-(G;<i>M`^&^?z~6ul9wC(^`%5unvC>cra{-sRRK(IG
zMslDj=HDco+~+mO)F;UQC0ysV7->v`ik`l#sEAlSsk*v4P;6doptQ8KT(6ZlLB`nJ
z+}z5lSSLCuNs@l}V>ja)tmZui%xXX!hNDeQWhE0k`^gh!%;412RF5IkTU)0S5a%-V
z*7Fw^7q^Xv%Wj?MsFbciDI+frNG-q+^EBHI`x~2>oV)Qd>q?_JJ2@%K@miak4~&kI
z&5O~{&?rxr&3H8Gq$ei>Qw9#QySG=gF$YMJ$;$ekY6LVC4oSKL!w2}i92>npf6quu
zTbY>=p}#9DD;sLG1HKq8F0SoGa|;U#Q&UL0LZksts$+(jGFDjD(NO5MEh*~KT0j;{
zZQ4apRZ}xHHdZN4L1pX3m>+No;c!W~F&j_+NQpzIVv{u&x-<lcTXEM7zkYq9p$P#Q
z0k+#H(I?#(-8|q+R8ms1oRPKvY<(`}>|R`#GdVaY**JdAe2)@QZeyz>M|=m&i?K1?
z>fNHEq5)tI=oAl7sVFAg-QB6d6ekr46B}Y+U<`STY}iXc2{ct42xPb<p+J8CTz0iz
zjoys7`NIL+(Se!5LDa*mar>BB(Rnz|$^e+Xnga5M^jkedv%<JHxk-bvah`rtSZ+d&
z#tUW5S;F%IVL2nC&C8Uuw50e?iCux^0s(KhIRlWhej40hyUam|$fH4P@+seZKnt_h
zRnN)`1(~SP6=hp;eZH&-x}3TCp~X^Aq~suzsQ`>ljJ-@>wvxT%_{FQyX$yEV=NjkB
zDw!Wr7o33|gfR>Z0vd#1Nw%t@RjpQWou%$<MqPNF){<6jZFk+`T+!@YYlmiB<|Y_6
zvG$GLM-o5MNQZ<qLQ2rLt+JUSZ+_pXJxBR;pfRBRcD42NaXS%?l*w{xOtB6Qy~h$F
zkf^p^J1>Q0hXQ6w?fGOdf$7QuFFT-Qs!_AqD8DPwz3(~YE7dp?dvV!u`V%*w6^`Fv
zuXVW8qVfe45@*PwcbpW824=R23Q5WD3jHKMn%R!8M@vn(+SqtF{pPD$v+Aj(&%cAs
zkCeT7L}G<!wX=ikZ<vZ^-`Amsbu1=dHw>A60PDDX*J1?)ww@v8<9)gPktU+P{N374
z_nI>#*k`+|Md0>MDKwMUFQyJ3SJ>=**E|M1L4ZEfb!_3EQ&|Z5bgI#^gZ($DI2++6
z{7*<+J`cwFMj#}`6g+2ga;oCM14c&cp(`Yc8*pUIymVgsLp4R%`NG$UO609p*{Hng
zfpb`jN1^ZUe({`rCII{9i{d=JGT^Na6K8DGwXsHQN0EB?WUmfFLRq_anOgs)iHk_K
zou_~2Gnm++UQbr{3G}0?yZZfm%x4sR9rdKIZrwEoB<eayD7vXD0e{|uy`6yDE+fEa
zVUK&ST$C2=m~9ID8U8$s$Hq??-L6;hlDzXuum5ED0a2WeDkB2+*?P8Yep8*w_mv!F
zG`OYSlNOVx>ac#kMa|38+WAUJ)+|yN?3*4B7}z-G&zhKgr!ewzU4idGB%nyY*9%dD
zk(rPLY6&=DWABULXH4b~j-aI$&$_nzAwy5|N-(e-e6VkO*d_*oNm5=8J79o)tR&2e
zYzQV~HXXL!23lRL%xiW&(2nEFpBCAm)1RLVz=);Be4Edw{Vgsq$-Yz_%%z8A;14Pg
ziENA7F5M|xj|vDhgA)t@2HDe0G3Y%ghSvw1(dZkjrPYvtlpt>}ZX-=aA!`}y5q-0)
zHjl^s`>s2llqVvKR~r?R1mDG{l>DtBO`oQS$MmO%U5>W0jLOH9`O?=F`jRH9jgGnU
zkrlP^vrgFY)8EP5zEfEWG*1~}cyDLn3$N=M(dHJaBJgDy1XY^I>2mbwTVM+3GOk@q
zI%T@@@(Lfa&q8as(Qnm8xYM*dhfj21_rU@@J<s(OPcGUx$Xa$p8Aprd^?X1O_>%7O
zJ2km!optr3<l>T=;k7UQPye_J@(BEHv2WhuIQ^i>N^z{;dNytK?DN~)P>Fb)x6wH*
zWND17(?w+RT7Y4tKh^Y_qc^I_$=43oNaDm-t4-SQ^@j~E?@IakcDl0UtYwH_%<dS1
z%a<5F*=VmGJZT4ynP8dK#9$1I_LJ~wU+-ZWI&q^VNcr1BfjS0e)n8jE{H~oM>Y{!3
zTZ-x|DI@RKbj|_=GA4<-_~e&FM4Y=OvoTN6q(+|d#|T%k?YwVl%`-iFV!?pOv1s)b
z-kZIE8I;V_qkRFN-4ewyKJl0RHTSD_JRLkRu&3^QICtk3*_~4sNV)sQ9}`dCuxzCf
z(^h{AcuqI?nChVJDIP_q3GmkJ;Zs0T+{LtJAW*%UX65JlWrm&h*bVvDJ)a-guh5Tu
zs(y8dwRlvc(|g?*i9!`<j#Q0xcj))b_TMF-qL^JFm*lq$CnE+WwCmN~EYUf2=a;SF
zCuz~iFV$O~H_c9q%Po2_v7Gk3)GBwI(WmfGTc4j;VGrilx3F1uVM<orczzdej5Ry?
ziG{=KI!#z#r5s+K!DuO3b0!F-lXSngn42;l9|KL~K6i`iC0@##s6~U0sr%@>L*w6P
zEgSC|@if^EK7|0*(Y|O^pZ+3lkX=znej>~fxC;eB>So@~cIpkQy^XP583a;e8ZH*F
zr16MA+8@dVv?(!EP1hRZVwDx6+&7;Eb?D3@HNlWI>z6R}$J<c7cjj7YtXeGPPkGh4
z?2}*3p5hr1rp@k?czj2WQjL<*kO`fh^-gN#AIQDyEY<1HD<Zs4cq<=VY?K$$C9Oe7
zQE3G_7#ZFa<n&Y*-U-Q<&C23<a`M3;vN8|uSz{~Sk9H(i5(z&_xGP+q_3vu@HOUI+
z?TpdI$5F_3i<<)I+AA-Y+%9j&$#l6~&P2Xi_MMhjqr7k?iJ6PO<V+Akq(NO+aDht|
z;}xFFlCnGZGRndR8tAA>e_O{<RS%R>r18%-G5$1FPb4_R`s*+(lf0tLZ-dizRx6Xi
zJQF!lZMMW^{N48>Qn6!tsRZ-m-@4r?4|-+#nzi6z+qVZUp?E@44EHv0t+re$*X8n&
zRd9tKMul-JF?N$$rQ$Rd+;z^k+mEnYg>$=;WQ!g(w>D!;cBOg9SVD4Ieh0|R9)k&6
zi^4(BfpX!GO5RjE9^a@j)V2K_mRm{#^}f8Xn?-$@<m82wiy%Z2l1Ml`TvK)?f}CIE
z>v%XH`}TV0y;U<C(#i=<)N_u_ANhJ6wx|VqF!$N%#2Yr!-PN$o@I6=Rg*tHo{s6DW
zc**l6FVvQP!ImBYE^lL`mxvdSs0Vj_??*565#bgJ-L`%ck(2g=4+uXTNeJ)NL|V+(
zb5E(h&Tbvb?9^+0y;~4E%BJfACkmx@aIt2sT!8zE?IgUF>X<}m6&)sk^&-L`5rB7j
z0Nd$sceZggMjp{WT@{MY1H=pl1k#YlSQr>&TAbh9%$1bMek_fi?d$6!A|jH?jSi$i
z2+G!+L?=Q+YmxYbGyz*8pFuz0)Y{5-yq%JqY^m87fjbX0#W36h9RbN0^78WZ3DOLV
zR!8(WU(C(#T%*h1-h4F%LavD^civfAT7rUra4zo^XSg?_kjY8#g7nXfd*fOWf~IK(
zp}v`s9b>Sw<KLcmcr;-h-ek=3_bXL6emhDI%2P9-F;LMc5dp?5)Mo3;@ctxOAQ1>V
ziC@7x6zImdHqu22169D+JA6GcZ*EK{KnS&+3dc>NoNm8gTO6*h{yAi&t&t~2?TqN1
zEglrEP%g!jF}`<s-|8r)K^q?wByN|cKUy{Ii%Orc6yn#|&~Oz`17s$$uvF_g^cpjJ
zo@3S8n!g}CJUlRXUtq%pHa9;yC3*qJ9rAYE*~gsWd>b?o=|;ia=q;`~%y1};a7t6O
z<VX?cXM}Cd6DXqXBW@<5dGjqMNAcm%XO}M23;UQjqGVSTHD~s^0BQhZV2VgJ;$j`i
zuh$JnB-lUw=|Z+_`zdYI0fa;))2J=-tE^m6a${$}Dmqge;g8nA58$E7srX6h)^MLO
z6am<Q+dcOsehjIo%-X``cdW`3OxyO<HA>V3y(K2!jr={_5#59Gs59WIJ>W5WfxhVK
z%Wbxe3(+3htZRQfAPcUu-16X6M$oh;sjGlT-fU@aOMUJfgjAxBDQFT4-w#9p?o(i3
zEnm&$qP@29q#sTQcTkAL*2p|>=o#Bz+CM=V3FoW34D8Xv&rPnbm|x`U%WmjtuG<zA
zo3Vd6ANAw$N!e3)_3Sx=w<w~Y=CKG2SHvHl{{8#T6%y3~K~||y1u&$MN}6%$0<{;w
zX3I)DJF~TRig1QEH#C@sPXn^V&d$zN_~hc^;zWfLBS@>1o{CD55{*^IffLWu^Kn(G
z4alJ^E3+*pUF+!)v0C47iuM9JO^l3;Mz<5<<A-*>&Lz)HPdnM~UqF`vSt(^@;d);H
zlcF_yvwF0hwRH*GSw&u+7%j%Mw9i_bw?oV2OB>+%1E_BGXhbkR;xd@rD{qpN-|gpC
zppwis)$!1N_fH^410T~&jkUSlh_p(%Q@jZh-62b-Dyi)!pH(^X2#@npbK0>n)OEFI
zUi`46AF;D>AMI(x`J00V3IpZtbstw*D#eEKFfewYupy<G1d-Cy)A8dsH#e>3%dm0T
z6`jc}**6@uOvkixEqHxjc!TY!hQEn@2@DKO9^Gm6yaibPeS9Of{+DUZ@~?XRh7K|^
zp&*N2dHnaXK`L+kJ5G^LwZAitQtqyp^Hiu?TU&W(O-xJxFJZQ8Xer#-<E5De8DX~s
z2{==l^5BjoLfIG)#v?DEkExNCK1u=j7&L%_2QUnp$audunv!@~ZgkS5jTgIcg~1&?
zAk(K$xIJBK?|zF3<+-=v^t|V>v%nco<%uAw1;uj!w+}8DpdE;YjxOx)eY4-L6=n*8
zSKeGc+G_@HxV@7^*O8VFQj>q9^Lt_S+C=yQ3uk}V;JIRyGJM(tBRAX*w!6CHqr!^a
zFUB@cj^0Qb0@SYoMa5H6L8(H=4lN(LPLm*hex-^qKq%wSM^Dr$Et{+!X2O@4jVq?~
zm!z)IAp%8@`WMQT?ow(8!WcFSD4#paJ2{Qz<7nszN!%L6GF`=t2p2R}MXGXh>{;rI
z$?Tl@anOxW3Mg`VyF1=?9A1@F%RnhQ&x)sxDoQp}2m}+#tkYWRy2O!I(2LRBW98i(
zB%G}7@y~XYkwdx)M3llIgl(tPt6ig;S?S+nu?(~Rin5WL)m9i4E$x`Gto>#aH;5~9
z@2BI0puP~APV=K>;5exG36l<?R>}3{WBDh)*AMoY0Ayv(qUCKjI!d>yHBJzCw=VEb
z#s?g1oow&m(B>VO1c0$Sra!X-<_c%^V;=XRPcQ!YpsGKYLAJH`vSDW&y^7igVFON;
zlJ`n&^Al&msLymf`nuN*2L_ep`9&kM;bN_H*UBfdJL(<<YY_SPf6JB~h<Qx?m8$J;
zG{|@Jp6r}L(82W9>Gh-sVKjEKWDpK1dKr~us{LjK5eB1!X&E*jUk_(GcfcE=`5a@I
zZPto<lZ54@QJn6<Q?*!bPxu{e6eaE}HI|3NG{5d8w3@*homl^2Rule<j0!KGDWJ|&
z<STDy!~8krpJ^^iPANcMZu7*PBl87JJM+Q<KCgRbzPg&YzhKP>?l@kLKLJLir<e+V
zQ!!2&+l*#PbKm)uuLnKoQA<bFLDgiFxVv_P7Y`R=dP8xr4hIXE@kwIknrF_*Fq!?<
zLh@xJ*LUC2^UCI@Uxr8yU8&Y<z&{-WceI{;xOAr4jHkKA_CraKLU#Zv6G}UWDg2kA
z&2TYQO<CRMnFN0%p@xG2#Q2~C({$eWBDWE8P?P%Zg{MLi>>m7?Q%`cb0`O+fd4Zi<
zBoBr5qvZ!8d0<$<{(gW8qqmvNwMDbTi4rO?#GZT~)qAtCuSSvIyEe&3X8W6s-XSc{
z3=bp3p`%d|v`Pj{D68&z=oH_^dJ2r*+LNG~JhZ)r!P-}|&F*PId8bo?YeIc~D+&<J
zn;&tf!MEqf^lXt*dEDUxTJD>`!HMe9>GN!3EX;`(sBMIsJglFXQWkN`DAa+SR=@4^
z-cw|ffkn^#_SUeU>d1#HLupRK^MQ`XT;*M)3mDi7IOBs{3crfO^GK91#ir(lom^cP
za@Xkl_d1FmBXQyPyFXJC@0jCH*Zuy8+fBKrBOD1nm(4=ClzMv#{mKvXt18=j03K;?
zxK?_8>bJbRQO?CwzP=uZo6XIK>6^BeHJ;(V{XW~o){U>0qPpkD;556w2_`&7_cA=d
zv8ESid+0pV|5Hfs*jmz3v@*fiS=I$7;`e#~PH^?OJ&VIP=+b3*k4O6m*@`*naTy`a
zLveA|Z|jln2E3DVucIAm<gIK^GUxHVImlaBR0D7C4PwEREOvs`zO%L6{X=1AD2``2
zL%D1AaH4N>>f&YCP%5obV)eRu*E);X)<1K1X>sc_bb8Rx?!-#7DLwk2o4IlHp&^c>
zrnCc=?AWr_>Czh~_fsf(SaL1Tl0`fgnc1DPvnpMM={hJr%1=UFQLH-rqpBSoTP8YI
zpn+N`x-sew!uPO}60z~R=2m@WoSh3sY70+NUB`%u60dU8V4~R$P}r__6Iq6^#3Ng-
zqI0j+QD#M<RIk+V%~let!gZd?!B_b<QLEaY9$)6Fn2DB}npbqc%8OQBq!17t9dz|q
z!Sa$R(a&~#fX4{;_PG0qGsqDKYtOcD{9di`CyPiaZ_(;kiQ|QNtiYuD*$L<oDYey(
zx?klF4|D0yRCXS=ZZg2Iy9wra4@tZN@oYHlAOixe*?xd><KyL>v2-meOKp%S*5ed1
zABZHnDpIS~;OEs#Fs-y(Yx^MBFg=+62;$e(av&ig0a`O%bEBJR!rR(N{3mw;zkGWQ
z9U77Xc@;cdoORSh+Zh>c0gn2zJf`jb!DXH1f!`CE!lJ~;VP5W@ETbb$Xh%oW`4K{y
zzY@GCDDvs?g}}jqU6Pe<J8|A5qw69I`Mgw9Q&S^d<VAUj_tV?7*4DDEZ1Y^)F9zTT
zK_S>!T4qHtKz2(Hr&L!vX=~$_Zr@IGive?6l(814&k1O&0ULksph}s0io4JwG-VFf
zy$}5AF9Y%R<Lxp4w)A(gL6d_!jvm>wjBs1$Zk($-rdfbuPb!JC+Mq)p)IC`vkqZD9
zscv-t&IuebaU>BVBa&7{XaGTTbL(P^pahG+K%@yN0IaE)nAoe%1uhN_^!HyIvVefE
zuivg74J3ulF>*(f0>9rUTN@aVP_LI}lC9LBO&InhyN3z*zN#Py*DWI}TPr4VV|Zc0
zoFqc*ju3+g)&Wa$j5+R2XU!`9qfbD9-EmujgQGrtTvSxFva<3k9??t}s}9>KyzEw|
za1f)10TCK9a^^x`ZcYx6jW+G1T6lW3kdn<qJ32brA3-QS18$Xp#13>H$V%QFJ*j_(
zg!K@|Mnl^^S>?KEtf{#giley-R~*_dOXX0WzU$8<ffJd!WCuJGqeQo^r>g)Eq32Vd
z#e0-DYn?KPk|6C5$Ik|WwJvv=lG0v3t>HBe#K7)Duv`CTl$Rezkk-^(0Gf&q8l#!6
z)JJ@kr`?QS3BC`Cv0h<y>v<ltNlOnSbOZYYc-DOgwQMuM%gAZ2^lm*M)+M^<nfIiL
z8(m?A>E?#Abc{w22_>%+KSZIZjMii)obG<nkLW2~^OwYYXi@$8p_7(hp-K@BUo+mc
zpNekdPv*p&8zy2<nO3`$yIymZNx`RhQb}103d!YpzR^*x49hPLABk2X6#FLREAV7z
z<KE~-F7@GpzO&|*OxY%{qE#^!{e1!e8#%`xd@3q?_))!t2|gk9!d86#VJvG~N}lXv
zNywx}I;e0^NH~HST)oKees*mt`5Q1dX#Aa)m{W^rF6WBcHmz+mRZ-Iycw|JlR9eXp
z9>i!E<D|&GXq#L>Dm(8irwSXD!UFS^Xk8b0(!Ww(cm@H{*njMs`sh+wEnf38te<w0
ze_fsg4@5jzcK7LT1q`(e*x>s9EG0rF=6(e{@qfuQ2*{y`#fRQ_qXYcnqT#aBm;De1
ze*MSpo$yXrk^4qFfqO^!s-ABqfhFJn!wW$9FX$i@8X6M-2+lV;)7|fYpLrsXw!ta?
z#7~6gq;DAs=Tg?B-pG#ED}Y#1W<UiS?jymF=^Jg;+%SYX_XP^<;ng`3xXxY_zd{AT
zvAtYN85$l<Q9VExp7iT5u=!qJVi)4d^^y)#Kpqj3%1cYc?88A5Sb%;E{jr)9y8S`*
zZbhv(0i!RC+n2BO*TRIeTTklXa~R=Q*+nTkk@OJRp@fUpz(D!beY?TW#@D6Ud)3hO
zl`P_mEJ#Ae%9b<1u^0(V)k1jKd?$WL#8Uqa+tp3=;nzG+*Gxc+ovnlEI!GBdy(bb;
z>CqY8K=3s=`Heg`J8x8_0!@^~%GCJ&5)aurfW%}s!z#g+U%TuYEuAt%hk$oKZik0H
zXOE0vnbBKgqG*^HsMvli-3_fzK<KB9)64N)9F%Mb=RHMI3pO+cum4_bR9;<DmiZ*Y
zuBY|bhg*D`fUCt!Pzxm_kyK|lyLnAGhR1bY4XY`dgz4JC!EJsL<>*ET_N@jS49uL3
z<td89t0FpwXO@&0*Kq5EIS2%C2^j=|z1QE1h6>HL))-Ujg2g{{tQdhT*?EqL@vOt=
zIG@%M+mHzQb2t8w@ba+JMl6KVYVZ<ITh3s&ovYJ`l#uRikYsU{456Q2m`E_}^FplR
zy%U4pj>#e7+j4RH&>`<qjy)h2vAoquCo*?j*E?T*Dx%-$d^&_vz6d0o$06Cn{KXF6
z=owSL`#%)0prGVRc<`|+vN6)mz|9jPV+@S_2tkd!m;ueOPj^JV<Bo8g@Vf8W$>V1c
za2u9|A_Dzhg>7G~G^h&E!f<6R8nQfG%x%L1A$7@$`&97Ca9nOzsz4Yv&_B2jV_nTJ
z{$L8ZnS=7Z8J4oc2NBdm2|;hnO{+27Y<>bE^_$&&Zqw4xhMhwAXV5aYI2^I`lj9S~
z+t9t0H?dJn`#%qGy2ZA0Q|($R3ko^XdD`3mddYTCkHbK#XMSk%<el+J<*;5|L@(#&
zK*QiLDC1wnzx~iqn2>-^O+%?f1i~7-bS)uVO?IfaomeEqyfq>QNpu?Beul2Es65b+
z5|Wq46js1PeY<+V_7Qj(-5B$E5Bhrd-7<~N%sI$~pz9HEcV<0!b~mqk9vk%SD-N<<
z)k#1zTCjhBGtidDRIVR1PCJyYlUj-_Bfu4hCKA0FoVI|06iz2_XI6e;_51|d;)L9T
z{rd@SC}JdH2pufpcI^sXgj^4uF|L758WI_OiKjQDG>>7>m7Z7M!(_}5)xC*n4#v70
z9c|{-Zdfk#V$89S)_+bJm3@`*R^RUFNvQOKLYxtlNWZzx8g-?`z<YS6(;JEp&{keV
z>KX;c8LWl0W19nbG>S5GadQsno-eGtUkzn=Pbfz*eL%=QW%xLL8`-^y6w%KnCbosy
za)4EP+P%{~!Y*=U)%<X9*lIF%Dvv#IUaiG$db<f<&5`KaYM&_Cn|nOmHe8kFV3>!$
z8sB2F5s&tgIxwzJSZvta)A}--HEOgeK)883mVNUXhEw*HQ}t-8U<HNXTdH9Bn`lsn
zJIP?2NC!TR2#33HFQ@A&p%F<HjtdnC=ixQW>0e=Eb~Cz>u8Fp9Zn(*B({6Yn4>boj
zB?_1Cim1PUOuo!U($QIEH{lso!tvTr<3wCe=Wyw%pMP#@`)XK1)ip|C`?w3Q_rP)L
z?IV3r!1s&p!^?21ODzsfnSCGQ5Q+3*${qbmsE%q#X-;AhO~{;-PAT7fte=Fo#m6ul
zbU0_kE&Y2NwyXD66Ktop^>Jv*^oZG(2SoSKZ#!@py0i`m+Z|i+{T?~RDRwzW-J;!>
zXc<?UqoKbbG>a=;`p1^lsx%ilF}Ea3Ge4-l)@8~NU96E;#+4*+My<;6efATB5j7_9
zcFr>@D7261Lc6$`BI8Si6|Hz()o7uIa%BS_X?vL5MX5159c?y+mn6qszu|1eqU`4$
z!FLV{(_IAZ^$&vhdZv3B&<CC)4_p>~>gZgzxDDQXsWRN@8Mt?J{Hcu+T4~z9yIh@E
ze9uI_4D3-&jq^M*Vkp1TW<2ZxQ~w9PLxEx$I#XJ72iRGcq$lCLIuP_h6A*i(pOiu}
zx|jw{#Q(;*jaF(6)njtQ;o=^H>FDZ?;@~=@R&fNz#i^Ot;^N}^ef}a#!I*77-lmH~
zPd^W^JvwALCsLzqu2a+(EBz)q4h{~v69HAEXS0Bas;gzs!qPO@Us}3S6Z-sc%~D*R
zALX??HTC<q#<Zc04L~LtiBd57`#e9GYh7Jm+gMxQ{q%tAE+E&>I4yXiCs|#-Ndp8Z
z>a~%|<vqX<+uGWOo8ys~S`>Qk++JRxz|fI$?r=NCbC$(<0Zc|n5w$e;;9gVXwKpU@
zMt8>;Pe)lkjpW*5wLq;^#03Fx>fZ_tOo7WD>`Z1LN%)w5X$y=J4S)R^<qcB)y&(ZV
z|B`879W3AapxxOdr%FIMY?N?BBGII+3D2D2R$*aT_(0XbS>_!gjMUTa6S@NKzb$-`
zv9#@q2nY5JQ*4nT?KLN>FMTxvu#zqg7CK=ln3(JU`DF)<mJ>VWDJ+`P7u{{b9-z?l
z`gwg{U8e$j503|+sdc}RdZ)>YizR0(TZNkM>ps$`Q@27J-!0#0-|a;}#BeeGzB?>D
z{PA?Y6PP>D2YY|HchI<*0z)qUtTBD@d@6qBnap^@DwD!K+S8M>Wu&Gycf3@8&`3Rh
zdfA(jiBD+4ywK?nb<jx6*!SJt&PvMhs`olqRqm=K00e4i_&R1)P*}+2dV<HNPK-Z|
zxRzdIaes1~t)mLdXQ!Mm$HsP?%9I!r<8-+z>rqC1mB#Pu#L8L-b|xg%tde(Xt-igf
z@!7fmNRossn!dChh>|uKLGwXURadKmxtz14%O)Udw%aC|+EKh_7qM3b$ZaVgav8Z=
z#!=R*u*nhK>;R=S86!Z*4+#brW3;2tIZ!JH=(d4G`H)F<Jf-GMv1F*8?^Wd2OA)c3
z?uADoh8U7Zn=yNns~WB)7A_TSx4lweB}Q@&pnl~=G89SJVag?AFjaN$6sO<1F>7tx
zZa+06Ve(zloK%!D`bfWjV$IcEEIR$7yf}UjP(-#lA0%^?WTk;fs^ALJ%P&P`Bih9_
zIk}7KZBkla_7^^T>v?)!u;uC!M@b|?YUaJD=yGwa%}enE{BU%QQR3pjXKQQ9ye5)_
zY2os+uuKZ?O)1Qk$ci3Qn?+^2k05EyK-LyyK00y|BS(vdXlD3CW5f_u9PA%SaF$c6
zTTQH3hojq0znO8$dQh0M^OlOJu#|;p?uXJbVxpL?4|LFFgaHM8de%^4eI~x-z`;9n
z6)^hOlzA0OP4Tg#7)fY|v9?gzr|C6cXhKG4)BP+7U${SVepiKay_$t2J?aXU!}wC4
zkwt^-d-pxp$eOzziEPjHPy6&AM%$g1Os&aCcuA<XHP4-s=P9v~iA9qMnrh5ZY=i8}
z3Dt;la{HK0yLN%jV84GVv0s><ipx({FHGWp#&l#bIu?58e~)pF(pL9<NdRqBnl5KC
zvE$d{6xFmI&D)NVhE}JNrzRVfRSMsCa`>-u&2FNh@h^|dX~sD0EQz+ix)?t0IMKB9
z+>V{Bxt6!G7H4Trd@{k&PChh%CIT%Lb|-wV0e{8+0^)tE4lyF~W85BO0>tW*OZYI|
zLo7`5ve};Gd>+@&A5Gu+{~@jH&$485iPU@XTA^~kivZShh<K?xN_dW{ce3+Fm+7%t
z{3`R~TGuDDq$q7OyV}M+?d%kmz^hE+$q)<81^kV|0rOB_1n-O3B^OPnqF{@CzM^Zb
zaPY5DQOCL6J5YKo)VB?`w{7+Lqp~;pt%&o$7Jtrn**GCwiy3c?%*ymJ5#}e1syr&F
zhVdlgl%q_i%5f`P`G6RO2$Z9_cZ1iUMLiVuV7pR9Mri$VZFthnK`A2n=hTyayGEtw
zbfM;=mCUM*&q@FLKwoHeyH}m#;LvE066iy!`rqQ=l{V*OVsHaeGD^_|@hY-}3)ek`
z#p8l;rR=m{Gyx&4^ca=NsOO9dH5I)+B7@S0@)zfLYCo}3#Azt~0iJ3n!SnG-R!T}B
zf2F!ytSCJq!PU?OKIYUV3ZiWyKdt$!2{N&$db@U$;dAu7(C!OTjQi<RIC?n*<m;&r
zT`-bT-m!MA+sfeq3588tVv?)T>tf*sOTs8VdY#*CZRqy2_9_nBMhGc(s^&k3OKHjG
zsUp%KsHCF8m09>F(?h~3P=JclbKfwge+K&<H}^Ya)KpbTitru2372J$xxCu$ij<59
z=h~WUgm5?4m78bG>7(?b5pF8Zm(Hw=V)2uvm;@Bem`MCr&DSaY_GNXEPoSC2SlVWM
zP0_)5+nsowwROF->7i1NMS^7{V+!hoUbD5}VCkP;Yq`5mCo{-F)5@EMs4+h21x~JO
zFH82O|L|+oUmh}Jy5VE8iHD&<14S%RA5$lhvzyi8$%^Ihf5tz^d3Of|N6K}?sy{|r
zP(+yUdo9{BUd0p#9GJE1vyHB4B)V-MA?}6WI@u#U?<-x$U>sYtd2Ko>XCx7}?BoGl
zrS)lm{_$_dh1}=7?+bQwLsZA$SJzN<npj!tI8Ibs8^=BW3Y2vzA>jT898M0<h~m)y
zFqxohd%b^-vwP7N34^JRk&C)2_EYhgDA|6HI0*YIwvad)ArA_J(Tpe^EFwHSJpQ9Y
z4VJP=8gKIA0!x3`G6n5g6T_jHOYJYtmk3#>ryqAVm-8a*yf^u(xe&djp=~Dwh#5;;
zEe4l!Wp1?$;6xw|dV&-D>Hs*r<I%{9o6ak(<*vTn&H)cNVQ3a+Hk;QUOi3~yR0sd^
zGA~>9!W0oqa>3lX8b0jIemva7BfpBl_VBoqC4OJsR&xMN7H``LOV1j{uz)kEVt6FA
z)4aA3aox&Eq<i@D*#fSQz+*2~-MZK^-@TEqW*CxEeYxSxbG(12vCFDK<S3nz@s~S$
zZocrX3LpBvkLojXn+PnURGdc7`9cv}HxYAn6ZISd?(|NWhxLI2IXMCy>;c+fZWIRL
zhNvRum*tnO`r3H-E(g3V9Bh7<IqvC&Zq<wdsisT&C*7smxaZK8`DHa=HkE2p-7XS9
zMkPf~6`Z23!&Cf==W%QZ+1x`VFCx~~wgctoly2&@q2#x##ajq6D+}NaIc1VrL8|U2
z=BXd*)7rM3kFwJ2<n&rO*o%b})T3RlugY%o%bG=QGT3upx8~QFaoX2q#W$i56HcXR
zQG+jt=gU^LcX=&_KI4OslvZBd2Y+@Sz@r$99Yn;xrkV*DZHOpys{gAo+$@bse&-N-
zv}hsS{bJ0;Vf;W^Oh1a!?K72=$z8h_p@*@Bq3ojfySanuHpsQR<(Q5(4JtIbY14jd
z9T73@&U`(Fyd4{4!&7aCa66LqSsWGh*5VO8#+SRoRN?W1``j-{aOL>BOZbu2yyq#T
zs^hbGCP@3dZ<ts(qPmq2<ZYFiKMun;;|VbG=G1GkhN%#l*y1_XEsx(-!inGv<C^Du
z%RDhy_z0f+1JK2Oiebkrt<YO<D>EQY3r}Z>C00b)8P3em3?>Y~eSr5WDg(iLeK-C(
zoH?YSS1uO2CRsJZ*Ye1!@WX<1O=7a3$Jw(*3;O4d!Ig(rh+b*mA@1mhz9&7&HUgq-
z&mB}gQhh~v!&tj%XOAM+FTZl)yxh08qDQXQQVV}CpX<LKwo%Wvg@>hT=9^S6zAkGQ
zE-!Wa7HmB_RNWG;V!4g3x?4TuH&Wfg9BD;n=2rKE$<x%`&^Ki^OQ|+Dv2hSo`^Y7q
ztBQ_2L)z*iQlJ7~4>7V3Gza42$)7eG_X7x<Cm+4=K16zZm!3?qFpj&t)0f#BTQd#Y
zBNX(b&%)mlgctAQ{oLK%*@T8>=~SuXGBXV@iC9^CkZ@?FayEv5bvcI3O-%z2osvpp
zBYyNa019^QJ2v*+qN)Q3jKy}l1PmSdh|Vv|G9M50upWcU8g$Ck((KxL&mM12=h--?
zphp0blI9*d6PId(Rfmhy95cR_k)!{E`^X$|(JD0DG_b~@6n{|UlyqB0Mn+!1s43uN
zewUTAD%oaY53GFnYjWdM{~i(&^2bS>otas_Nljf%ht;Jn&{0En51>`OFF;Gwc*(-l
zMl)2nOMX4WKL}eKh<gMhc>gWoolI%q0WKf|sS_3Zz&X8qdn`Wtvvdacf*r{cv{=m-
z0sc#2Jm-zlIlK6F*=NgXJ_tSGuku%j0b_vp)7CltAcXTR;ZHm|u%afgy(u)n#+$F;
z^C=@XRz*XjfX(gB;*%sZC+F{>p`vbLG#EfZW(vIsrTYE}Xz~g|BrLONaomvt7XAq9
zKoSB%4=3=bbu=^*V`D|S(FKu!6987Jz>lx1s{`VMsnKAHf+VAJ09$Z_!xpQ!D+L7w
zCK}p=^vggL3E;Nnp#_Y<OiWBy(ZFy3|B+)68Xk@T*f!oP7taFwUU%d%gTuhYq#!2;
z#<U*TT=$3#9UGs3uwuu?RIv--?G!SJzmlG2W@cJics=}pFq*Epxw>wk1j53{m)#N~
zg9cu^0N&i>KA<hGsfpWT5LhJA>(Tz%1t`!^QBVrxD9sT^rl+fYUtcD2-gm%K9q*7;
zT4OBqr(dw<^Bf2t9v!jewgQrQV<Xp+@h4UFcpLPt79~0h20FUZP0pVhv1a9N?72UC
z4P`CLi;JydsbE4W%UKU-2l=A3niPc>fhg3Yqoe26n8GnDyLg;k3=gCanG0j_31UZ#
zOqfCM4+jZp(O>}FONzqA!GU-p@1CqI8m4Oz{8@TYT1u*j>qeHAKWsZhgjm)B6Z(U!
zl6zYvqN=*w)T7zd5NmF0X{jtF+A7Bdkv#^Px<^h=BfC5hv$?--u5<5Oi6x`n?=|Gw
zjqU&UJb=##?lr_w=hxR;iPX;`JBASLb@r$WqjmBaoR4+!`#eEvG0KuxG7&!25`D!C
zXaR1Dx%k~PE^6rEbtWpVwA825E0hK}Gmd`>f=XSiCv6Qrg618qMVm}jysuGLj%=+b
zYJVXoW@ZI1Of!E%U^kJ06tzge+Q#rOry!h^@o@-nas>dqP&ayDaSB<WmKb_p$<A-K
z1EqKuKs9nTB1w@axqlckm6Mkq1wMpQx>;&-IeK1O-AB>{G30X%Gbd|!RF6G)uEyg~
ze_}0OvlzRHg)6ezO{AADP?{EKH4N>F_v_+UU(O%BH)cC*6(x#K9{(U=@MI?-s!sfJ
z1|i-5`>QRH)Y$27-~0uG<so<BTD2!4+-L-^_S>PA$K0^Q%-Z2!>ZT0IEL~!InZ*Pl
z&70)@Yd*f;QNjPwo<B2uR?}Z;-5I7ur|=Un*j5Td-yCcjC@mIvmF_yzV6mOVN(nb3
z{r`mKRn7k!G!Lg=d+3|LW^wVoY+?&#djA(bzp&F1$WxqOCH?Fj#v`Dn(e$Lhz?dG9
z5w}{gyg&BuKTUyvo01IS!%*e%6bwR>X7Fu0iRFFj2cg2QEMlU^uRQM7PFk_saNq0>
z*2n8pYQJ;{{xPg)dVKKJx8E%t!?dX~I;fmf6*j5(FccC-{diYrlw^Y_PZC%OSE36U
zD1)^FX@%eiFtcZ&xqM%q_G@CI%!U$ZU3&<r9}l!W43NPY@abot@>oyCr*m(V8Eg&c
zu`iD*mC;XmTd)<-DOO6mA0krzOexZS+iEr*{UaO_4M6%Iulq1eIh1sVXR}IV3$b3-
z^4oU@F}l>__>wz;vNbKYkA#&0)Y2J|KREguosfk9R8LrG<DdUHL%4*QL_Oi~F{AlQ
zRx$C`(|JL0lB}tp9lcw324cj`tEk0z*kao~XmMyV)t?A7BNbfHRF|~DdEe|Lj^T0m
z`8$#j<2^jsH#6`;p0ADomNr&d@He0^9$gq%N}Y@eI&kq8pl|xRZ*7zD1DhmJK54zA
z!TU+%yxW2LzXAVsvg#ZwVau+$3X*f=crSDpWk1k#pKT9*UQ6r2COrzv?6zL=sI_2V
zJ+;Hu0-8gOcQHn}HlO!)&L}3!rR^Vm9yYJts>bXtjMKLGC@+s;?QC+ds1IhB`j9M1
z4J<4IZ(IAXoTj#?!+!9Tu@YUUU*AE?Z#>J{ABEzDY~n8X=&Y=vkFq9+v%<*%v=W^Q
z!k8(%d1KHMlOKO1u9rx0JJ6o`)osmHvzOurt~_~_6z7(@+V?ac)t$B{>gBs#M6kSB
zq}$0tyRS5TcE<<-9Y9EePHwPjDM~fg>sZZp@EZOELZEcnBO9LR|G_-DVa>13NGJAU
z=MyRCWGVFEZ<Sek)fYu5pxgMzpTU<eO{tg*bdRjvbD-#nuv%a~DA4SE{WIgu2@IBA
zSDZ`8&9(f7%0oW`4ouXf4s3j;CM$H~s>7K~^TN{^4zEP$gAX$9wTMYB7aDnoou>Yo
z89H<_0*}u{7B78WJtX?RoUSby{!aVi2}KrP=M$ezOH-%#Y4v?4q63ILa+wmC(T;DC
z{^iqu|1~DA{bNi_<>(kkwnFJ@^cws0!TFjx)yfz|A_B9?-p0)NwNrhsIz&0bi`(ih
zl1d;)YS9jtur>fm@5N(b(XM_3KBLLU)tLIPbw$~#Sx}<~t9!d(K<Rr4H)h-~LIPyd
z2@@`&th?V)ZrIuMmYQxr3(EfQi0s}(>Z9$+nXz;(+iiY>`#En#j;dma-g95;<Sp?Y
zyOehFDnCa~T1>>-@JTVq@EcPJ4ecep_La99;^^!DQbTN=y?Co+Re1uBGGL<$Rwr?#
z_dF`*X}AsLfI9jlc@=oCUDeXo5|!Y%Bc$VT6JU}zX@%jHmgg}Ne`8htu<UMleY}`g
z#rGFB$Rl!my};UvEtn42F(W~3$R_D(La<cZ`Tr|LxMp$TA!8QY^#$4MC8GQ?6+L5q
z02II3(S3k5_v4GgTVB8K>$lA8ycXYIUB@eYQ1cH*pEQ>z3#f|=tr8v_kpQHKf8PmI
z=p!-xN}>_V7wg{*5wxm~`Fy7njDC=YMgmfvrln^O))oh`>!~4yWA`f@+h>WnM#U(P
zeK$y&{S=b?1g=f|=etuOK7k+HD6cy|6i8G}o*K8e>M<c8t;&r2w>bOQm~$3Mi?yqj
zPHJTljR6}XF$+<y;u=MVHk7V^_0`j@q%8SyLlu<-pz1KjSEhxuIyA>e{ioYSh0OMF
z$0W!Q7RGXfurgO7;0aj>YpJjECO7E;tQAn+({t-0l6m_`@B2^f9J?ukT#l>jSGe7X
zGx#>Ip~FONkh%?~a)?TXoW!?C8;-BY%C#|%y__x%TProuzc)qK6z99P3OKKjRlU|w
zJ!j0w|4;9H!83Bn;mf$R8lIe8B(#&9Z_U#l?;|!WMRFIm2NQR0V4WWSv0Jmij57$y
z@aVwskUgpI5W={)2L9l%@|vJ=XJaR@RYczM?cw7#_w3>ny&g8{gToNag{3(LpTs{{
zBwgK8k-=(FAa{J9ozUCR8=HoCLvKIwys^S)=Lsvl_bxlHjB}auu3MObALp*;<0!YV
z9=@IO{bQ(~vX3o;UndT$#g`!z-!{L-`5Jv3p*s9kW=IS^_eu0o+D{$mx&1nY-kfDh
zQK+c;eHZw6U!Du-!1enY&teG&ijnhFD$%4cX7N>v2z){^$+2>x9Vc>Nl&ug=IwO+>
zi_G1+XGP@wCLMYeialy*;%K9DTrhLJL;}&N@wo>nJS6x98O<A%s5LFw=J@Vqlq6}4
z_{cKm+>MLkA{w;zb-wWF+*`^N8egkjI3%mLp$G%7Wt_{&G9-_Ne1)QuUQ$@lQwV*g
ze4X{<EcN@v#!9BEG>?5xN>xsdiRAikw~S8(TA0p~TQBFX<eijH(C2DD2}_$ryh~TJ
zKGyvz>>5|(VzIaE@jw_*?xVg|WY#BKs}9Ic-EBP0cG`L#g1GG&3E2*h-5P(ZpZS}A
zs~_5bsvp4&BgsoovxUT!5RQ@6FE7_!2IS}obqtU6!!CWnNiN)d5sTm3K_nzp(#`bJ
z>2arNai_9d{j5jkM4+z#(+#a@KMH|UmaN&gC=|ftjf;9<B1pr?o?^4AW+X>b0pp#2
zl0M!im*Wn*Slg0^ARVQ=o}|3KK-2%5dQU_z_}9kJz~>pdd$^3g9Ked2r1SZ-s9^WE
zm5*_y26X0zv$_Y_eG~V^GI0d(Pp|R9S(2;OD3-Z#u^s_yx|u0ym8mXYg5^HXk*Kx9
z^6F2zW_512D<a;poS8gikXff7w6k2?^hP7Z8PeHQhdp3|Lf`4C=TApI%YAR)f$`4i
zrQzyXgdlt(yB>)_7l*MndGYzDP^P(!P41;MmZ^DxE>lTkW0EBp;>i^kUa49k0Ga6%
zrtJZ9GaF44F$ns5q*U(Jdlp7_EQXi=@B%PSM1KJM6H0~V4O6qTCe;h$1{c>?S2Z<7
zm@)FvIU>ZFm{<wJv((zFA%p7Fam-17Or-b$D-3P^($S!A`hO|WlA?hU4b~<CoYiwC
zr-r+}BH(n_bj;_F?$zW?CUx7eplNZT4?||;8bCJv*qS=^LI_1~1y~3?D;^=`k6<mp
z^wj>6v;QfhoV5tu`+4c<>4}O$gz0xNT6cVVM@~+TAHTc18ykxjoueE$4zwo@4@*x+
zM@JK*1e-S)GGYM>2u|ZAs{jcaF)_jnnLzj8%}v@?O`Md8p&@arq8woI77m2#WQ|uG
z7$0X~V8~DK0x*X1^w>2g;DrSiyFVaX>+0%SY92-l28u2qXN0>xo|7Lix9F~fUn~{W
z)v*IQk>17Q&GFIx{_k_eTqQDc^19mEN&DUn`#=QzqNJzq-@jK?F?;v{>8j^$Y26io
zl;G&dEI5H3Z)IzHvbB|M(dc<=`{pLvhJu8&497r&{s1g2an-lR2`qof!y_C61ICb3
zlhK+sMy_SW6-&{?DFFkRd4Mtvs5>hvDnh02!!X-xxtmMWq!$5)4$Tx3`ca}1Vo3+^
zSBr~H-GI493CKDjVdRmVEXC>VTewLMbF;NA3krgYk))e7tmI^2nO<AdcOw1_{8oe3
z#o0L*M?*|35IBsyn)%sTbPNp3;GSs(U=2=n^?BVzV81}mq{WBb!$V6et0e;};1xZ+
zi&LBYtg3;9e!!om?5#a~j6#*<m>A_=2bGPP=<@vN<a+eS$49Hxvs|%f>MadzXj^6Y
zk|FYCz=f>52=QJ}Q1D$CZ0NjNKXvI8w^d=GWM3e$Q~I|H8xI2kOiWB*C`Pw2(a|TN
zN7S?&^R;e}0eI2!Ybu<vWTvAwdMW78N9-p7HwH?cU}hAisya%1rjaxNBtN@FWd;Ez
zA+h3_6^(2&aS}!yS>{24pW=wv%%Gy05Rt4CZxOg|plj7)zf$41Ft(Jia5s@~pn|iB
zscC$4be0KlS-*St4v2?UX<cbw^9L<y#yvLWE4MSwqEOX0w{{G~bQG4dWamdG*3X(h
zsu$Z7(=Vwhrjs#D)(e|Q##hF5W;*z>9VK1?K4FTC!Yha2itTyDYc-{fnH9<}+LO?s
zJ@#c)_aE0RB)HF>S80GHzt{}}=ji?Ql3LBjpm9qBI(|f7^4zRhxM0;gu1<`ZYz`hK
zrnTz<qKV=u9ZcnnSBM16mhU4~6UuoIg9d*eBoO1T{DvV5EPelP3dw_OTbST~socU{
zB_3y2wA)6M98m61#pq`>4AM(NmYW_f+ezUf*tUQt;;-tAk3e|HI-!`y{iSpM_J#oY
zatPnUQknjZ`07~ewJIZWy~Q+BW}iLcf7E7GF+Bt!MYA|iU7P1$QRFiUCm3UD_lWJ7
zMn}H>0;Bn>mY&fn{?9sTQh4u<UXx|1UqwOXccaFyf9tCDWt5F&kLTZoKg$-!V6X&|
zQ_$S=QfCxyrt7b|`rxPBisYe{BW(2BpIS|h+83SZs};K;6jQto=jp8C>0Zqr{ffzw
zjc9@oLBeZ3RbJ;q<2NfswlV_MdtbaDQd!^h1+aCdQMmuqH=<my7P8x0wZA$|Pax=G
z=yHFptCQ~uMefd*u~%E>_sMD)MtiU1y1#AjpEFQU1!Y>bYrSnVwm;bYl@Nwg(Zx;e
z^Lm#4X2=nB41!%EyY==@*kgH!9@n-sR!;M|KH-mz2bgX8%;aaYHo<hq@-WP<qHyr(
z%?A<M3sn8{^3X}w8;fLCh^F0=|L8~r(<2(=i#0A-E|-^;W$|^ZoyezUOKq=)9=Zw0
z`8n%<GDBnul+8Zu?|%>hj*u*kGd{oY_`eD!`<>Q&syC-=B3WEPrz^a^+|0YS7ZD`X
zw?3XF(IP*$%P~vZP4C->7qHKn=1+I@9&_xb%!*xhh(*-!HJV=-ycRo4qGygcs(xmh
z1*2R-a~l1_A)_*4Jq*rvT~)7@C-2(P%J5!X2RZdWa&ZRvd@Xzsj7TZrcBa%i<hh0?
zBp2d-r>u7@oR`KMzmQvlnD>9Eb+nAsJ_Hg~@!$8nz+%7W>atno(_Zs3spKn@;Bn`k
zH@{fCCUFD2>)3Y;`e=PJt!^JPcZ(Bj2bN7+2n~Q<RHT02h3HAKvt5FJ%rnV#eFNTI
z7p0F`w#MqPKet|gv-U^)SY!8<H3k=gM(*to?-|B&RvhjEVzY(&eeme|R5U3f@>~uU
zj35n=jo<(wNBU#cp^nOTA2*Ri!F(hZK1|ysq_R*QAiNZQ&9>vWdkVrDIuR%~0K$a&
zyf+S9hY+QLy)2HBMnuG@^q;P!MCzXFEBkM1$Zi{cgLVMHSzW;FI;xGo)p)+2+;M|>
zg!i~n%>n1zE4E*=|0Z0-Du|6`W(R{tKMQznK{Z*j_Ou@eT@;c8r$9zbB;xnOr}6f=
ziOn2zQKb%iIN2BIZi+STrR(PBPpd4UBw{CL-z{fR)Nl2^@-lczL!5=)cv|1lZ$B<l
zbjC1RA_?>(N)VJv?)|XI_q*o{W9B@<XTWF!w*K+i`K=y!?zao6{lgjV5C(@W@o(|q
zPm<5W<!*2CshadqqNQY*e|h2uQ(s|Jvum2vcAz-OlA1@;*>E-|X^s5o8XKe1zPqeo
z8$>54GFQqY6yGeauR}YFh{dt-PS67wUW&O-#>^9I=sTp#wr+QNpA#MHp;v4FI`+XL
z>`bil8QfQz%=c1a)K9}ki;!mGa&-AxkDd#U=%b$VWe>)!o1M=@_&s}$ka0pLKLvK@
zND6Dj?S=PAHd#Iv3>wKq`#!ypb9gzL&+|8bluvheJZc)nbc9fnl<m{^)oY62y1(I=
zJx}9f_<`K)zHu{rAI9u(P>X+w>EqGXxr|Pfcba-nG60L4aMGkoZ%Y-j^m0Oh*`x3Y
z@1Hp(#A3u`vKP<_i|6F)#xb(A+BN0gQBX*Oz=7~`HW3^Fc_?9sAQtZ=oF`v(IEBab
zhe8&oNZIpc-^8Kbr<qIgtWV^tH%<i7f7{)v+hecov47R~vXIhu&9aru8KIT%=V>F8
z@01g8r+Fv*S!nKfdU*Yg7aEq@cTCzJ>h%5Z+;Ro@?x#!pR@2iKw&&^PSkC}wx`BzQ
z1*32Is-B}<C!p52q1F{w1I{)=3eWcE)6t}#qlm{3<tN2T$46*aZ^8z_s?b{tYJ-?k
zT81_`oBf|X!(Q(@$d$kSs>K2KNdbo5+6nwFecWjRsOQ36G)GR=QgLc}dKg@U@SJX#
zW0+_9F)nOf%RNaq(LzN$hsdSLWX#AyoZ(KYbbhr7fN_E8s&?s}2trBw!q7zaTmPqh
zi<PTiXN6@cV_9iFvWDz@vKt&EIMLUueZ|rYH)3Fg9ikaNqu~ER+FJls)rS9~TUts$
zkS<X=qy=dNl$34|=?3X8K^o}>0qO2;>F)0C?z%7fedqkoKkhv<caP&ZBYW+=7Hhrl
z^E|)u^J6he0@*k4@bLLfaq;obh<U_Yv7&R;y}e0%fp5EYB`><Sz!3Kp7VG)Ovb~&o
zm&(~*9(4@`ZxMZ56HbKM78*C^QX87|_S^J!rWm8oU)c(897f4N*oQMmL2jaRm?bw=
zOd3Ucf^&L-!e?Mn@vkB@{CUq~wSF(fZiHM=?&NMGrD}auaDPj5v7}V<tmHicDV8tP
zA(OjwejhEUL$SYudT@-^T^Q}Xg9AtX@*uD|2dwe97r>(<^aChUi<Lkf7iX$wY;0_5
zN>|?mRA{HCHM1IWa&nZBqId;>%LF|AS?InLSEZzQ^c%Ln`BMsozfx9E5I(?>5Eo|&
zIJr+;WsVj9^B<Mq<3>jZk$Q)R!&;XNRH$iaun=KU6bVp8a)tM-;+<1IO@dMx;AA~(
z!2azNs<fzRaALx3N%g(_Fz3QgUg!b2eOK7krDPI))bghYMDU+CTbV;ayY3$SqJ(kf
zt9bU5?*tSrDK5z#1N~va<6=Qtl|3*y;X?APDZrIf5E$fu*W*?S-m`(({cIKZ;Dbuh
z@D{^I3$U)@1bbJ%UftbX0JLN&XkcSzdfG?@c;~l$VMI{`R~l6DRtXhKv_SQj!j9NH
zKcCdGLog>1whG>|_LT!g5!CIVmXC`9lra#=<=ACsV>3qZCF2w2{z9V^n)Qo$CLrf5
z-C;ui`RmvFR~SRp<-aW%7z)o*cK1N;I4CAZ#2OM46JukQ3tuI-E>%@mgHBgnO^xMy
z%w6K@i9MH-laquPa2Ejr#llyO>FMdf*H7aZ$Rj}P{a=pKP5$Lw(3d1{TwR;O+)5p$
zSkRjgMgfuDJG*_BO&K#(@zpaROU44KJ3Q?#UskIMzUh9b&W}L4a&7=7RHKQzySsUL
zw0Iszt1YF<<@ov`V|8Lx4kvoys3E_zxJib{bO<6xr>2yxbk6qhogQU<j~apysf~BP
zL1qAuJpykFTJuj#*3kpW`HxW2xK@`$V4MMr9(ZYMk7#xE^+^DEU-a!stbB4EE5B@(
z*?e6WbGANHmV{wgxuwc0A7He?$w^q6Jmeu(DUOM93MGheb$xBC1a28aa?PQvmYAOT
z*pb&)(f41_Ow|l=<;`DeKLc+54gt;&_jhGwERG%aq@~9zl^WjUSP+d5h8=IplRMNE
zGof<cwa*ic)w7dm;mtDR3y(#n=gk(s*6jH}!qvmV_sdv#Ox5Cy<54DO6O^PLyv3JO
zpeBSXUh+L#;i4DnqrYq}M|V_;=j1-_$$wDs*(oyl0B}gPlR7cps+@r=gUO=F6p8tX
zym=;r)P5512HBw<;g?fCL)W*G<L=!f!nH_jOC{f<li6=GUMUYW`i6z)7=c?QgVI}g
zuVAN5<0VLTwVp5U(l#|6lIY7;dCN_nN{};;0q-)xeFaq^Pj3E3Ua`NALrwQY+bk;V
znX^sB;gT$3pyB5g9*e=j=DWQr6}vi}_@5+cd?t&l`(I2Cf7;0C5--@&mge82!OUvy
zcH2P(rQpK5H_|=gkC>qugi|$FISq->QrM*LE5;QS0x*$#mS|kL%hu#;&ucY=j<#6M
z>E>-ze|`dUo&~$v?~S{6Z%3g-a%Qvk;zMY}X#>j@cC=6`T=X@5G9u$Zxtm?oKl1OB
zo&@rogy^n4+R0-pu=wYi?<JUpo%i)lRQ~Eh7x3-8vOV8TjP%gFkCc{IjI%aq=*l11
z$P0E>3PoW~tf|Zr4HzCl+WQF${fB*#1aD2}(@^=)yFpgGN?aktM)F=kqdLMfNabdv
zn^9wY9rX!wg)>u^xCPmH62{km6mXPtmks6(9G-LbXTx;30yWTjZpAKRN&)b67*sjW
zE559=DI9jAK@1=dZ^7;)hI3|B+ML=Wy8Ut1_4n;FVUlmJwnE)BYBjA_I`4G`ux>Uk
zv`K!wN61#iu%nB!6E3Ckj1N*dTcfozX!%F@03U^llpTqv+p%dU6XxJLP&h%|)2)IG
z&o;(dM%r`UhU42loEJzx=72M9hJhh-nfk=I#p@9>kP#doM;tR@H$DlDO{rSTtIsY)
zqY}Nc9RDpJfPIQf(AfSI=*~lKw%0xUOgeEPTquugox2;nLwEU1Q189qcZ(mCTZ<Dj
zQaW5}Z_(J#HOn0Ry_m?T@==aq{^|kIe8Vf;j-5iAH#tTUaeSqn&wI||gMZo4UyiC!
zppg|6lR`7WLLxlij{z=?G};G3$Dh4eM##pJc)evwftpZ1;9@gzUb$!S?Nmf4kTGcX
zq&cJcUG(?buiIt^nl~SR{nlQqlinLx96L^p;cgtYHZ8OuOP<JpR}lchkjL5OB|Aw@
zzgdjc3oxLCo9S%nGC#(iVJpDf=mh)J?CqKP`CNScVm!hD9fHV*zBl-%fHB8I)XtxU
zLi)?B;cSFy57sHRfQCB*MrE7N?8zVgl|Hgtb9x1A$OEDovzf8lQFp?xTJM+K_;%(}
z6hyW4y!}azReoH^A7R|xK247q?P>&@tJlMh5rQ?W04GCtHAlr64<oyVDG~{*YW(Z4
zug8ahjL{cS=#LUQ4;vKZ);GE1h<ea#-bI(D<*bgjb9+1}c9e>)vR%_;LnRA6XILyT
zvMAz{2J@NmG^nKMq0Y}8>Jdj8OysD?6P>&a<y>WRtZOJ1Qp@o&iEtY86`Csc%^G7l
z6NJ|)_l1#D8u~bd{e|(OX#^yvH==(GeP}4IOS$oW|Hk@6eV)yLDt%j`ZP|#J>`^;+
zIVjrj!}RK6hKvv?WJ#O*r#hT_<5S^sHY;7-*L#k8fQUSjr$QIq0}KQV&!H}zK|LZN
z=IZKdWyPFWi%&iR_Oeo2Be0K1OQY8}5fBoxiuvS@Z3hM-r-$`_jU_<sXiXDi2Ei>t
zg*tBqvNRiA)y(u|3qDZ-V$)_d*vG7_tw+l+F)@AHzBqPWoSuSd1mTO&4}iY#f#D6<
zr>v|_+$gWWMh;%}k+)!);;1|1z?Bp(8;$SX(jpN00dN((nh#G;M`_h&W@i(Ulcf%D
z_I7tcHYsqsW=MThn*b687qpicm>B%KZ~q5noJgnGt1w{V>d32SYMRfX67;GI41U1K
zZMk`HaPX0S4G0L7p&vG9=N78~(IG<!#L?qZ`=WtwzhY4nSXhvsFaN0CFP<{#;|C1P
zY`JOhMw%|g+%b81dGMt{Nd$Z)0QW{F`xm#|kB$|?;F0$T;Dox?j@`Jgz}zWL5cWax
z7zG(w9F#kBFGGFjA;bG!irI2y-w|!49!ax-Wtt6_f?l2Cir<gB`@h1zqonMdo2zdH
zBth%5ZF$E6<mzR1J=dRxTn@*t1U}50%FI3=dc77-E-`G<0e(N=7r0fOv;5X1j#apH
zireWt4?|lz@is%O8(rXJV?h56r{eVO*6-KPg`n%3d{FS$x3;FVfR7ibL{p-j=`(fL
z^W@dT+?HeT?vm?IkbRf8uP+m)<~QpvBFTq$DTVWjCk%eSFUB4<Fmd?OliO~9F(UpY
zLL}%5i?6zLv!`h3U_43vg?dGCE%S*h#8NqqnbhISSGVNJ+JuKBr}KSoD}6Km>}-ix
zrncVQvzqMH)m1R~G?J-!A+$oiXUqT+Nr9)Z0+}^3X{9RFb8~)(Qkg-h9#6ybGkJ-6
zD%K7kWZY%&oi!dW$VNY*(L!26yD~OLp0fS9GYrb&=qR~FoQ~F!W7}s@(Qa_Y*&pSt
zXn9dwv2B6BnrbXqOy<o7)OSxhRe(?<O~Fn{LmcfJswRt;4yJN;D$`7!^Ilsa4xenG
z4_k3yXAZ1_+Spg*jw8`vn<x(kWvb{57EWLWMh007y|Pcxv0ciE`#$=6@omB5kr}MH
zL}4X$2v4$ICaZ&;%}#35%zi{t7Zi1Mo()p}8Y*6DcqSfX)R`kRA2&b6XnYcu!gHjP
zE@O2q_Uo43)0_=e5ck)ww?<uq+nfCXBG(tdQlgi1XR`hqA98CMLHJ0OrJi<|Xl!Rs
z;`>+?@3#VC%s8`6<n=TBd}}Cl9To(ITJf3qs4r>ONcxv^f4dBkEd_<NqIMkWnI%so
zPrIsY&vpvxho$c=5PCA%`$V;nKBu^hF9lCaVbI;$4UTnh&5tEGN)GKhw)5zNg9sak
zO4u>t)1{h^=N3IqovQJV&aSHi9tMHDS6A5NEfNv3PV?ohPEuWcyAlrhPNeAm*Cog8
zFQTjti?dcv_O{;7r4`-XY}GBcwW55$oAH$?NI(!XtbZZzZ@isu&CLvr3U>S~Rz_PC
z@jbMdzek5Gg*<Sc%_f|4F!+b%#*_EoTkb_2J?|eFxgu*%nFtV64N(1}@U+9*fv~@}
z4z2%<d($W?$P$eFEH6c`9xU0N^=sxDt}o$TchcOwq|mK-<J^bdXq>A)MBD;HuZc`G
z<i=CV+Ry_=L(3wG{%R3}&z)~GHBLF3D`JauGIoaU7_7v`ni7945C)!Ug*^4h24RbQ
zz$-K2a?F!sCQUWrmK(VZyA{>d;kq;+R22>hV(^idNq^WUUP3Pk+C=50RKgLiFIp3j
zG!}Utwmpyb0m4zocSD5<Tn@TfLvu<u&q-Gj9EW%CgmiVe`%lYKt)X^_nSA&@8-3>^
zdEkqXLZzQ^UD!=iWxqH7Mv54h?8;_&niM3G@!JetA#t|mj-2zxx;>j?obm_v9j(D>
z|9Gg)NO~fEYrL?_1?^YwA5TZCMabdv<SUa(M-t~(=uD9;<X8<W3oKPBq?SdcEn5mT
zlQ5jT&0-8aq4L<xo&No7G)P1jdgxTm$bc!amM;{<y@|nEXfWjmzH~ZqJg>ha<?{k%
z_EtP#YEZB+J*M3t8VCg``#o2uYR;+K_g#P-$P&E+CM0I;DC$JG2cxE+PTkcr?;F>+
zze&I*QbPav05^Y6s*M1XVGGP(&G{me74u$<nH*Y99p`+|py{waLBd3lFGn05?oX*F
zTdu908cu~ky5qJTKO5>#G?;~M?e7chC>L^L?}$I^xz`olId&FTiF|(2>T|~Xo%RUV
zo?^5CoDN9#S|oi_E=Yog0C5Kfsi?@@mni|lM(-!th)no-l6}N}zeL8Vs255rw-rV9
zK*h#n3t)sy&!>z?|I+6UvSgDQ7%Vakt4&GiO1+CWOF#*hkW_qfqjB+evkND~wsYo*
zvpo#B;nb80%p|iube|-@%?^S{3je<PCd!#}u(JVGvb?fAQ{mBUoXq3q2X>>@jzZr2
zH>3r-W2Kgs!y^PX1CDdGO>C?~uo%+J!fg+{I>;V>Z(@f*co+uMpKZJ9uAAclaIsmN
z_w1xScIvt8mP4?oPl&$-HWePIS*=?7WmRA9r=-`Wz5@5zpveYZJgvR6#ToVxY*1MD
zWwN3fYGISp_>R`A{uL|q^7picwckjLk`mrshr{tE*JuXTr!WEo-iM)PG~jQ~iyddt
z7yF@W_{ZGy8&eQvZL;&TPd}KhIP(c4L4o*P60iB1$dd}=r{A;~9dF{A2HZd_<LGYv
zf#e3gQk{O@iY=5@3>=J<B}1J=+S$(uK@ojZZGPEIwV+<rY7m||dWHU=jFrOC$*6Aa
zAo<gfp}j`|af!|W0X+2}2M_WyHt2fQs5xUAd+X|DQe<gbIZ^2yT`lfHd&ojkr1a#M
z*?|#_WK>(1E9yD8y@qh&xa24brp*oA$nyLLLv?5`jnm2SmYh+o>EsZVykLbqGpAy1
z>FRoXUMF@}SmV>smuKjgeFFES*@+}SW(BkY!cM0?*#x!sCnC0C%$-W=2c3#4M`8sV
z^NRj_GTXqRI4UDnGeTNZ^-Q0fLEg7oC!JQOjn(9&e+_lnWVoX>tM)A!){}2Ruafz*
zIyo~6^WgbzKH>U_^O0VzjYZ)UsAHD{m+TD<S*h!97?E*P)kS5)<lNDx=*3rUl6u1O
z>Tt=oM{kDdRqq1?z>l6vWn|2c_7{(cd}e~TWK*Uh6T+I#t{z4xcd-gi3On^E6|V~@
z^^w4g#3U#U!(=N)cDiGaDh^1toY<S|HT|jFk(yC@@HAStw-MvvEUOu^h!rYAhGhMH
z|J;R)`|){`sdA8{qoNAUneD`zo+6Fw5P^aK=S>p;wo<E>$T-4%tFE?%J3Br$GBJ6N
zHmq+pEJ09?+5|>Ere<apWDG)^s*;-%Ql;-n(B5)zOy$Tye)M#}@Nb;Vu}CSwL&S+z
zHPqB-Umf7QDFTkAyWxvF+t1_liz=8tH@W-xz-1$n=B_XDF~4~;h}iJqRqA4lH|)|b
zmqzKgfsIB)9$}_S%8-p5EN8_KW#9)OBhOnBJT(oKzZf4AGdVRig|Ui{lVWU?bN7B~
z!if*iSiPg9m~FwKf`TNpwbST+4j%U<CL~-}m=DL7XtgrP@+59w*%!tCB;9auEI&#}
zKJRC7uV;f9runcD{wI>&+#{9i{@8o-6pwX4?ydFkXz2Ojs~3M)Ca~Jy+cdSAKi-*t
zpGvThtR5h48Cv7`0CNSz<ZmPh(LF*xP?_^}m~ew-r{F!o$OnfogF9C)2c!v5E3#8|
zui3^ROQC%eCr>-i@@!oiG$17ZL4%1{t|Gzj-~72qDbG#y@CigFyR6W2VR$%ICOhl)
z&89V5{M`mD@F>#8iJa?;5hoAta;EWo=D{}~H|n~0%9<8sWJG-4|L(v*G7UhL4K_P3
zSgFYFrg2MohiI?PHZP3e+CH+C>h%pLP~YxOm2M0q%Z7g~9zY>D(Y+D#dyhdxBzd)?
zT%z;TzoDV@_$qd%-JjY>#>2ydp1zPm5qM6`*Exj8MR=Iq<yFtHh`Dm&_P3~JW%ng;
zj0_%vYAqrn0;EzH$>?&`avy|@^~&h?C!`SE0vVsNWY~h+dWK)BXWXbSI@z@$Z6YOz
zRkvJ$W6jp{*>4xJVij}cI>W~gmz9m@aj7Xj+F8>Eqp7D)pN{_OuCA!X4)ju|hB;Qq
zu!Sq2#jJ`rBIv}s9_1d!1L%F3g;GiJlgchptjMW)+93_9ybP=Bwc9+hezM#smct(c
zDT7~od#k?wD1Pv_{+A1&_)<B0Ropxu>mgsT{bO3eu)(U2!56>&`fqk`kVnM#kkyob
z+tIJR3$y91r7y5LR2FZ$M3>e{7o|4&isU`rhoGptdBa))YCx1i|KYE|V3y@g5EII6
zrznSiX^hf$@9BJYv1M_uH{aCWZDggp+B_>aGkkLxh0&nRxDcDC4ZXcmju!)Tccg(Z
zBSSjr;;UE{eGHtinz7jjBTX;svzv-?R8@k3@v?A+mX8OoG8K6C!?(*HL%0_*ZQUWS
zyJdzab@t>8u;atu;83##Scf#}QK7xRNh0;n#ieGH6>`jdj=9tFgiV&enej!gQ1%yF
zWl4(I>Bt=V@fXh_DR{T^=O$W%@}t|nFQ+Syp2ElvXT8l3uCWjo(w6xllS<23uwRm}
z8^y{ZFqheUkoqx88ZMG^SP90{_A9b{stI-T0W~dk#K%6ym}x4{35rB6=iBp>gjBfq
z9W4%vmy1}$fkiqkO?>wV7LU>44oC(LMRwP}P&R1pl|{-HUuP~{;1=J0pTzSBsEj78
zJU&;XnLkRjev73+!GFIj{SG`|w`-r}vl;EWzjxkC-&lMwcd6JD=$SlNcGILcaS5Xk
zyZYK4Lsx5;?8N&eg^|F4|4)tNHc_UAV?`~@XkhkGW2J?iJoYBBgI<MgOeofN?>60O
zD@a&yLGwH*nK7UHJ8!i$2PaipnAr|Ki`71*6I)Y!7=!l$jm%PzR6k+u<^Jpz^eLa%
zRhm_!hMR)YOiSg7lij_i9l<m)+2R=$b}IvSx7n(bxC((uxYa&79u8A~HohgwLmmFh
zVD%3<B;qcabcm>Brr2_r+;#S><XhgOliHn=*|K-N1}>kdAnr9JTMn$ttd=!aH^_wh
z?qjN+19=}DV+-Nhd-o+kaggi#uvdxicZEULs4SLol>9zpCnTP|1&?0#pTgE!u1gDF
zG5uL^#48>Ao5`M$5Mpj8x3;V>E5@wvKkk{1GFKFj(+>6sI${5(BJ~zOSrfT7v9Lw{
zXsOYnw?o2??j4um==w&62S2nme$u`3dTndtezk*BE-w-!kHq=tclwg9W5K-SDGh~`
z2Ck7c`}qBPP$!%HhDTDl>%nnUevz!TxFXJQzc=|z%T9`$lX(CR*1m6U&T4(nt$mmG
zSEHov?`KZuA$Q9yTc0%ViStK4KjA}>K*pUcJ>i|jt#p{pm9U=DZg9LmmS3%5g{9jP
zSr?zSDDCRCa+eTW^<zed9*XI8?<v(X`VN64gL3Xiquy##>`xW^_*fhl_N`^kjc#L+
z<RAno7e{t-(yfl{-VH5^WfjOL9*!!L8<)}$Gu@0fVcrj24G-C}!=QjJ@o?!ZEWYuo
zI=xScelA5<VeD|(s#r|EQ$Rk)V|RV=ZeaNS-FI|1>X*t-AqF*NR@(L>SqDj28Qji?
zb(EGg$1LSGGCFq4rYEY!fp6P#;A8#l%y=cM>)X<(kH1@a<3PgRy%RXsx8HS&xj8*Q
ztIdv`n82HzD%t&9a{WvZ5gJmiROGbtW_3vaxms@?7qmX@obBfCpwaDf8=|@R<u!^*
zvqryuo<!-(-R9On&v!_17+)DDyGb64*&mH1xy3Q{hLP~tkfs-$GsBznCyGH#@4-cN
zsoVR}KFx_t8BX@H)F#t>j;93;6zLwCoBkx%rJ#COQ9)h^DSV|d#}k7DX~HUh9VtQm
z^9L0IL}l4*KA%0YWL=Q-Iq-dGY1_$&O#_C=ZJIamRd?TS@Sc~;%j5i*yW5kgzRJrt
zhO+=SEGy2Hr2!fZ_wp>WZnB){o7EAgt87J7^Mt)j#dwSJ#dV<r#~IGR`&T(o2VJ^q
z&J5cr;&098kc}}RkSbSW#gHMP&oo|jQ1d@PzvCuk#9m%zQY#-w0wJk^gUe??=S)OJ
z0MQz28(6tQtoY7q6?G+H6Wxq+w@{E>PJ^xOT$#pOgPr`U!06ZVeaO)2tSKX${rTAi
z@KLt5dp*}N`}_1|^S}Ezui+uzTLmEekUH|lpXiob2U86%P*@KSi{Ka?7{=V^*dqmO
z)G54Od8jZUBs31zOTUlEc$0Y0O4=y)CXVLfsPS@)u(Hw<1)bpg?d(d0o_}Wc`dg)U
z&jzQ~qtHBsd|GK5^dhb?;9?L4%?05Diqq9d-O<hn_lv^03cYWQm6<L}k_SW4Djg?K
zg!GgqFSH?L9|yNgiD%;NqwkA3XutjFVOd{W`I-$?^w#7wL{T)+Rp%(f;3Bcn6nENj
ztEn89s80LRzDMN->)Am@S>VBV1YPIGh=rfhw<oO?l?E)F1m%Jn53_&sBcP&yK|FQX
z@hyd<5t(~9x+PCa$qE8YVZF^!gHC5gxJZTTTf?l{bUu0Yk<ln8TprguL+_`Sx`j#a
z0>YElvp)J7pM?nD-_w(@UfYi4uAO%0ZBBk^cjs^D<<+2)Q&fN9boTq|t@K6!Nkai@
zzLTun!o&cqPFu&=O5vB|(<`ydJVGd0u&!Ul^An@hy>)+4YIl{Q%7CYnntHSFjdsB%
zfBv@+HpHDN204}U!cd_)M$4e7?S!a(l?FoIU0=;`x#H_sCqym{%~zUOX;QLy)I6s7
z9-Bp!dc{qnnxoDpI-aPl)~?H`YuYj|hOqhF%j8G}?B9uM#K$&1V|9a9<D0~Vm`1F2
zX9NM!ymh=TBS$fT!*Sa!t4^UJ<9*XFyq)@zwuBCvBX}0QexP5TB^n2F(WA3sFL0Ng
zj_kaIVk7<FRO?0R4sOh61}&`mFJFrZ+Dh$KMuKKO--|7oqvCfG9ON@<(rtn6Z?}yr
zy?wEexwE$3?49W9?YvZU>mJ7V#=AC?yD)8LA60Umsg=8VyG$!=+Ii-2%Xc1c#GySi
ztFY%Yh8!^umQ48K?uHL%a@LR@m<QaFF-QnxAD&4H5hfY=LJ1Mebz84Ln+Q3HHovzu
z9E{HQ!_~s6mYQ^4kC$?eg}4)mC;o@d>`6-r(Zl`w8_ncaa+s8a>8CA98dCzU(T0S&
z+8YAJ?<>oO{qsO#HRy3PSyou|>Qh4eNl9{jMwAkfa(Be3-YO^?n`J33c(+C>=!ASX
zjIx$She2!i7llm}9A{M572FU2?M+JXn!Ex|LH*Y#$t;OgENiuo3PJqVL%G|Pqqsdi
zU81;DIl9)a8(*J0c;mgE=&v?1jBaL^k?Y$0C51g|nhoEik^94|i*j^GNy7tU8pTie
z@hB{wr&Hy<1q}=?uiF-B4CdIy&I6fI@ZM$O(bi`x<%C{Wyr$G7eD#4D|Ez1wQ=*(<
z_(X_{Mqk9ZUXi^)I-ol9n8Hn+Vgm=4$*^UCNpH8OH=n=nrg~;;=n0SGZUx@xY%nV1
z4a&3&1uqLPos`btKo7OC>cdD){syNlO~D$7lXX=*ye@BYlDEG`G!(LREiL|J(6Zku
z`lRUs;eP38R((oJ_Bc1*BRJM8KBV?)XTBU>Hf}D^e5J#Dpr2AE*2z9b&t=&P56m^z
zMu`@UPL|t{@O9ag1p`~hx!z(yeijxEELjX|{NO>5$yb<}nli*vQC1!+UcegpIPt-q
z#M$+G#Ag$e+vD^nSO9uVH-)F6kIqd?3lHU0*{Rx}Z}rw9Cx^<1E)uCx*;rp!kwt7+
zZ_ajma|y_ND&F9)-8j*jk|=BF)e~4xRBT3I-Nq?yO?kzcv$cJH_f9R_;w^!?y1LsK
z5@IuUOpF1nTSUAK&^BU4E|!+5G$bVveQ!;X5fLz5`<ySo`B}dwKL>+)=lazp6nT)p
zHcNSCrdYC#7_Bxo?@9q&lbYa&B78413PIiXGGaczuM&Fz5&XHe>(ru)ds6t@joauA
z#9nB1s1s@~rPjp>`v5mWe`)_LQw|Z*#9~Xx*&gXnHPLJH6BkVWw3xiCas1I>ocW+Z
z*G2W=Id3x8+DInBL9>~sPr}C5SbM2kjl;{yBjWpA>BKTqzNSJ!hDI*VBv||>f5%AA
z1f_}Gt^}+dgW~k52{;Y6KRC_vHul>KPUmmFOhXU9?OU8R_-D@Gaog&SZU0~Ty6V><
zMBLq7U0QE&bWr4}$1aan^7AwXv_Q~Ejpd5ZIM*tBL`h{OF}Gux-V(5Z0}KbMw?0~v
zpuu9zMAX;U=XJe}Q6ap$y@f-@8Ps?g-bJrg<*tP@^>Ny$T!jR!H;xraNK@05+w~T3
zVdLYpwL5~x5~ehOYw+GQt5I`hX(<vS;xKKU<Czh#5H4RFh+`EK5y`Ay1$`AT#~a<=
z+}qpRxpAZ~6G-v(_5B1Gsf^C8izipNQ>FUGc<pU%z#&)Kik6b{gO!Acsp;NWu3|Rq
zLVLR&NF0pwo+#7=@pr!#f!S;lhgC*Wl7`bq4UKs(_-9#TmVkf^V4fl|Z@&5NQKDqU
z6rH#~t=GBv2NM&MQSm)M?8sMmcH&1)BQIyBC{GIaQ_!fepupCun}v;}{(hTZ<}=8g
z(K9kPF!(`|pvJRRPA|FK+p~ogmtCKpE<_)liHF>R{`Kyy;vB7sXvdp8L8F0OIp#po
ztH(jP$p<iT0H2cI?3ViOM_xpBow$M=`e<<xpdk1j%yz!4&*-e>k)(ZLoN*2Y2|jiG
zRCkIcGHq<K{$|``;(LIy%M?pH*Q6Qrqeq^g{8uuiM7{!ZY#}yDG*|Fw^H>y?T_<N0
zjoR?&=r84AVEs*ZNq+p*;p5t5uy^_zR=RTsT+~zVMRs;}@BsiEdLhU(NaL3$C!8cA
ze<cqAd)aYRhOIjZ3hfFU+m`FE*r7I`U{2@ISW8xADj}rWlrFy9A3iyKfw_Sw9}4%=
zhia5CsK4NS%F+%`&FL{!#hWD8k*yUNYl9<!;looRcfoST4HDt^_n<jbDXUzQCOd_z
zc<Mb`uuZ*%7>9HkU(zY+XYGAlkRv<5)cmO=I}z!9A|4O_re6uw+xGAXYx;<hDojr)
z3OP8sY3xEAfy{C02m|b!pZJ@spDsU+v&8tu+1#XxwBQqeCk$Tdo8>9wEnhSGckEy4
zg&xt&T!x7n`?h%@0hEaLrn?La9Y3|ly^-1Zx^P#@iyNKYGLa9qt)%bxi3{R&q@e$R
zCV$5Mp8x&W-;|<(YP+W!Usb8Uxg#}rpfdBhO-Rf6LFS1k_A_=8LlZL5>aQ<p(`{&f
zVor>TZ8_?}5rCQHC*v=>cwprJXHeUj{G^5W!DhRfqmZot`u}3={{x;3_0MGf7QZ<s
zNv(z;F+%!d<rzvGhh2orjpUZn|G&Av(*a}pl^uhc(~ks-aZ6mD6|XG~M+2#|4n%Fq
zHcGg@Gc(_}wxrpfZ_W}cDBliNl+!EimHLKb6E&Kw&p4sPzFAS10y*J%EaxV2ktd_d
zUg97_tVxvU+d|F@$#~X5oV|9K;{#|{F#cSX5&_6U8UGU`+a$jM$$D4&v#ONvXRlZ)
zgIz~LdT}tS3@)-eVx<PmlTZ7v-<6w&)D(Lj3bp#wSMEi}oJQ>2=!GQIFNMqR1e2eo
zPO$oScRMB+>IoU<R<N_T`!o2!p%M^Z_nnQ-ej9nWj*2vCpPMb>CjZz{nl5m;t&Va}
zFl%HiT<WdGxC`lvSwM=G4`J^G6>l+BKdDDyHfWz0h3*tiEJL!GrOee!H)Mu#Dekv>
zM`p&IZL6!`pCf<*lmzVqahmg2i>dP)J>t2VBR4W+>A~C6Qopnd6E3FLwgE-ktK)m@
zLsOZ|l6}R(9=lum{AqR-!FloYd$Tz6EZepEp)}vbfA(`TaeU6NIYX%5KP56Ze5WlW
zA8xyYS7~$nssIy<;`Vxts#tN;CzhOY^9-RqDbNX~kmKRVpO{AYKE~e6@5fWj>>J@{
z4~;Hb#-8IW){1T*L#>Hv8T0!WW_EiEkKHbcRv*IaCAFmll;H<g2Xto(#<fit9^gdJ
zAj>uGW@9$;jWuJ=wSlt~|2h8KZ(e_(pKG>K3X%7EJCeMWE&z^!K%g22vG~6Wn7xm5
zHMyq*%}tfwe`s#5s6pD~AcozES^ZW7D=}g$fR3=~HP}rT5)X;a_*9K3bS^IXs|vTE
zS}Zi|KMT3v<J*hPDLL<4s0Ic1@MuhKGtF3CVK4lY3iR9GX>1z<_E{>u^JU#$z+Q9q
zzSSk@8BbnLi#saRVGTuNa+MheMOLHV+Axhxz|(I&o>BXRd^L<7w>Rz!oS+W3lK#_1
zv9n!P)wQ_osB<VJX#O<F%8~yWWsAC}joeThPlp15M6iyXH4XO{xXisAnVa(-FV%4J
zABiPW(3lXmv26D$!b%!z^r5|~M%$TF?QY*rt%Ks|>l(|y^L1#|3aBhd-u-5$`cUz}
z3_7`F<$<LlG(I%<{f677;NqMBeDY^SEEVUmMfP@=Cm9-WMynDe7LSM>NdyUmF9=%j
znd@e1F&nbhjC~R8l`|eadcd2{ljkpj#;2(mVK~)3P13eQ44l48ii9Sev9wQdaSOIq
zeBAf(ArCk=ud!r%%f_J&yX!Q!@{>Yag<%Zln`pY@$#r859N$oXynL!2|AU{n>J1YQ
zIVbt``kI)g^W{wW?d0#dr0HegSGzg&``P))-|yps*fZAm6zikI{d0<P^rkM~x5=MA
zik!LJsqrZ|tGUeRFw~uIokZh6Aa9&+uSXD{FL!GMMYesEvKr;yu{nU68GVoa;e8(t
z*2BVJ%>LqfODj_tM!G4i{|)~2mZO=UU`@W;#TWal1N_XshwY~wmXm>N?}F7FF&cRx
zJ@yGo0nm8<XiR>2efT!*Bbb)v<bNU2Us5U05Htw*0;Xzj2lKH}n52j9%mtzjY81?u
zQ;{~Ic@S_tG#9GZJ6ABIt&Zjd#q5MWf(H8MRKF^l^5Ny;HbW{B-s{LC-ojY|4Udbw
ziPjGZ9UCu={FH{H)_vnBHiGYeH4kL&V{4lm%o5fd&^s*@obRp=7JXaJ$e0aKWhZ2?
zjbR&!o^iRWJ%~L+Q5`1ZS*W;hv<;GziM2hM$Rhad3XCp9D~n5oyUl!rR{dW^W^b?+
za-3sqwZX78yDf#F`ar;}uX^yCasPYKD4*S=NpqSfkk6{{raV?Ae%vUK#j@+kqgw|W
zUc@4GF%sl}p_vI7*L!Ag7J3IRcAR$2%iP+8mCq4cSxD^tot8}T^5N@=I5~~+k>WVl
zjCAI^b-|DJhg=TiAoR%@)odOo@Qr8$M(1OmTZ?I+SucLYIbXWQ5^NPf_?EGAbbpaq
ziLCQv(B)2k&d?H?m%AZXr>h}*KY0lPk*i!dh0e4^(SJgs=CBw(V|4*nn*@h2!}WP@
z-MjC>VYc)sOvbqeDMEotx3pO2bnzR94FOOID0frPjL~8(emjq(^cjgyhhh`sS3qg4
zL4d*!m(C&+p_8{MSLaZqYyLp|Y@{ud%zg1oSOX%@bHz_NX)v(UY1k1>RYrcE?WDQw
zBsH7Un6!c%SA;{g%u6}xMiG)sm&5dUJf59X<d_7;TDaEe&Vee2>69KexX#saVhTZ1
zV-E049MLUOGQ;st`%FeD6p`4*8a@nQALS(w=ATVp6lPBKU9!2}p63O&yjXEfI={9q
z+UZf;Vgs{=+ris1u26nnhTJ^UJE<K!oYT~fBus^L)EyRt3MImPrMdGjPN`o3mUeD7
zdmoSI^6P^OXf++okX*&%E`$sfB)J#5`ZSWKRPUyk`&kV79rQs<HF!SFVsR6BOBd#k
zJ=G@Tq0Xys<*G`YieI#1c0b&Eit%}8&8!`6u}OF^;PH~qUsK^tsHl9Vqx*TNrADu~
zlP=R%WBH(tDANwdI$cksdj86kq@1#7ijb{j`N;md`#NQ82=kZ!JEETUFCdJ|%V=Nv
zN6V8O8$3g#Ann(5C1EelJ|1qt2<Hb&i0`ST|FpbjO+S}Ed<}J@-;gZ*gQ>7?g5wg}
z_&^qsCl$+CK}@?`nGgI)hDnCAFlxqTJT3E*+CUUCOdKdpd2uUT{G>ejSDJ+DL3B(z
zy{kGg>2Fpme1nX!-u?y(wJ631(c6hMIB0jp_e4RogM>9R7eS}@mF!e7<4O19zqS|Z
zUo5nYEu;px$JRb$qR@xBV)sCU;V<ZEwFH>ZUMovTr-@LuoJ`%Tl#y~r4Zt1??0$ud
zDYRwn*n$6CUDC>>REyFp#fGI;CBNO0`nj?JOWb(q{F}=+m*&!k50t~d2PmYjPN_Pa
z{ul1Gn{1YZVEau9o%9Ef)FaS(jGaOm(&$XeSufnjjD?!WV)Kie%MTXnFU5i6hZ~`V
zG7K2X^Zgk(KK4mhwE~X9qK=M^mX?g=S4>`TD1gsp<TeGIT8N3Imi!?6Xu#8whleN5
zJA|0m%*5o^B94D*ns5*Rpwwh!!lI&t`Ta={K&GUKNXI!wx(qHp{><>O0KfmhMhF3i
z%t%mRU|?$MOQUAuw-!GECNx$3GL({@KDY&w*^{KVug}GWm4e!<s;UYU|A-(Qoe5ar
zqi&q#RD=FtRE|1)@2MvmqIZ9P|K4lr$Zg=`IO;jDas&kp&1xJG87cqi6Cd5>{rx>T
zd7)yTU)wUU4wpr00D?f^^`oaHARwTwPFTM9C|K;DFU-pNASs#g;&!}mNGlrAqb@R=
zn|&uvrmd`!{*{ZwkD11j5*g<5iShBM$Vdmokxn2HP|??K7!=(D2ehFbA&(+eW~H!H
z5ES(CZrd4q3Ha8!Sdp-t1v=@wahhDl@9m6!*=EbBeERf>5-m)9qF<IhUa<~`%>>8m
z$T8(MD3gO$T)MwB?Nf)pKVsjg2JoO!Q4uA*)Rk9Ij=fUJ<|ZR+?admVEQ%7y%_=Oc
zEGZcl-&<SLO=__orYq(1UH0qm2dCMkQv$@AFB?knbbo{`XQfABIXntT6Q+{lv8W<X
z2uw9(veLkJ(=!6jHz4SwZ^Dv{MwhmbHm`eBbdSn#OM*5HE{f4xL0VI@Fm@W`uXp$K
zP?h;(d($%%QP9)Z{&R5%`4RMMxv+1zN_-+&)$>|LmjY%JO1eZXr%C{a$_yRaptz~p
zPxrk-Ujs*_l@@D9juM|ELQ4zgX+gykDvYW{oyt6E*7zRL@(y7L)fz_xVnQdUURKt=
zTIU9vECNpmO&?%QnF(9V^L7x(rs0(saWLH2(3i0>q%X#Z_HBM$iFoOOB+OYZMyuPF
zsM-*2+K{V_s@##YQ!}|DF1aFO@cAp}z{iN}xnp!k#)WE+TMbUOFnWbl)wn2Wga*8{
zfdASm37P%dDqTSR&#lry8LTlw`=8!vfokX23@L|qv(+Y?Gl}@*I}NnQt^A+5@t(!E
z{W3h+P3z_CdyeuA^>=j_5wpGX5fj(Go}WgeBiSp861+l$2$KQdbeqU~Z$WAUmVwBO
zZ+KET;_KRbCDEOII8jT9`iKI3y(WIZ(JCizFBlTtbE{%P`<FNYL2$dB$lh2l<2C#g
zp*F{2c^+b18JKM0n$%Csh+3~fFs(9+Q7ZbDzIVrBe$CsWnEUV4q!1?8@$1%CYZ>9!
zbK~p=>$B45d(Rb%{Vx|>YeQog7?0zznAAq#3Z<%XT(_ic$riMSmp{iRScMEW{jij*
z-?Z^GW!CBvpGdpWT#w4}c=xgK9nQ|hw6?8gY?4~k`a-?M9{<-Qr4HT8z-JjwTjku;
zpZ+U422>ST?Fs(U$Z<P!XqLMIGO$|P?@XmFe$wF=y5Tu2aWH<q?)7Llg(~Sa)+eH=
z)9*X<f^WLZbzfiuE7J)2Ygbm&PfebQ`pc!Vg~S@%W}B<fPy6!I7EZ~SePHOPUA8UP
zM^0ua>Pzn>O=r@~0IW4sq;+6=^O~G{?Yd!#OyB%cXRIdeBRHR+)RGb+{W#@V>8+#r
z*{YlF(?uo)XGRu_#mhnSg3NXDgn33grKWaO2@t@tzTbc3CCqTMtfJRkT3Y)8nV9Qj
zMjr$8w6DLLs+GH(+=j|ts14Z1x~{}WYD2w9q-&N=+MK^13*ZULa%Ls`xph6?mfPqX
zX`v<c>~UP~ar(NO0zTTb(foWUzqf316P{}7g4afLy7cG+8{FY>xN7CXd;R2oO6T)M
zE#c-wSc#_$D#^O+>eJPXb%vvM1BfF;JoXw9Rag#jIs3|mchK^We6MoL*T=nf@%s5(
zug_J=wKBT!PwgXuoU+6(NSloN-RhP*{6j@Btdi%0f(HWUR^(4l8j7N0R{Mj0+~E@4
z5UumnyWE)>t)G>{*;UZKi<u?&)%{JSz}+ccXLV!Qy+=nRAIh6R^Lz5iiT+#4m4f*!
z!@j*B>Ba>!jQ*!Y{XRixk3=u1t)AW_0`%DYcP=~U=sqBJ8R1qy5oRcP&X>Ba?IM+^
z``gKQUy(2f`QE9tJ;PB4vw{B>mg3&2zvdILbvp>`G8Ip(COKW)LyR|!SA^MY^r##S
zsx1_MMvAs@eW#GNavOqOG5%YZec)d%K=@wuZGgG0xE;BUom;J(8ISQ!+!Hm>nV|@~
z65#z74S9Q!XM=)j#OO3a{R||zSlm3jU?n%o&3V&Az+$e@7}cR@KE4ETzusvS5vyBJ
zU4$mCyWerw<oMq$)?cKG`X8i9NKif>s=Um~;K28C->jmH65?KxQA4COJyl+)s#8;2
zJLov>bcQ$-OB8k2gQ>7{sPNwr+4c>e(u}+4*4S|rW)<^ET79)~D))jidTVktt_5MZ
z&iMz`DupsyT+%}Ma;%Z#fer9E(1l(2v}%#MlRzM+PfqmCcu&v9vf71^ij2|iA_eXG
zuv-LY0IUj_Upzkln;;j)|9?Y}tDkUVws-XLF%6$ZL6LZ|w_v?uVqx;N266JDrh{Lq
zo%{92IKIr<ZtH`Rcj!;}6h*d5{=i&1h3q@O*JNNnTTYr*sz_t*89@uw>^NE7@h-Tn
zDcmVJ{C0V>-NRAwrt|^HgMF10tuq<v|Ggcn`)}GYLLml8$G9}`3^-v=W{}tLy)?@B
zT5yMtZ>Jf%udes5s`{`f@Yj38c;DrFAJ>{BRSfIfJ9R#z)4d!;=H&?Gq2ji{Ctl96
z+)n&faol#k$IWY{`mQ0mfi7+}9J{N3FIs~S4~e}cgii0^Sg=xqrSrYeMdMTDh8>l9
zzX1B5&n`)HU|d}`;>be8-uJcHJ)@h$dQA!zJH2=2Q##EnUf{{6H;9mHf2jLvWe+=F
zs_~4>k|;SK>-Cq9s;RI3Pm-SH#o2BF6Zbd1i#gqcnX#lf0=%eCv!fACmOB|MZKxx9
z*I(<S^9Vcqr_k%jj+G5<_-DJ$NHz79`j8UM=TtL;rhA>ue^DDvG{AdOHHRaAzPYix
z-~59XCL>8yt&9KCG3?y;yQ=`JSB1^sI&(+V<Ol>JnHxelkX(732AL^`X(_^~cad1!
z-~|kOqx1g(&KlfFNh_@={+TUXAiSQh2Ka&7x4sW~{)4^WGXm%bp0ez<*-v#7C94A5
zMO=y$fzyHm85sKcr)ZJF2#lQBKirI{!j(XZH1S+j%bl0p)~^m^p}uKvKQw1&waTJ6
z5eKK}jm$ggTaC*1j5YH+PhS6_g8bm6sE+^7<Ux%aQ{8{@nQlrG#{CV$LMiy#2IojK
zFWZH#XMIvV&v8#rO1h`VAIb_m_!%5`KWfQu7fDX_f3Ye1Vlxx4=hwYAcR5viM5B}z
zf|(s+ougkFxz((jG~-DezV0F&7b!bn_qBAw{8`Zd2^$SJcm{E=h<mL&_~bPmAhKwt
zwKs<bH5ZLFk4i#ewuP5E4{O?ovC8G*-Wd=U*l$_aD5W|rjUyw<KqV>7FuLE2bIXwZ
zGJa3?Mn$9p2id2(ZnP>j%$nt?4eW$)ZZO0h9c$t#%xfB0$RKC-bCFNjmOg@3sIVOd
zEGbdi7_sguhYkdO3Zx!n7tck8wx|(}61_B446T-;IAE#pPf+!1%BVxK>iEx1lIXoc
zQtefO6*sK>=6^H7>&wwx5{QG&3eWpM+QW!JS{SmVPArnLHu99!KUJlfp|B!#oI0;p
z^e^>La{_+UvTqhH&W6^A^Crncx&4;rNHYWv8KQyiz*53zw`sP(K75lrETrpb7fW7r
zep<Po)3c^r<<u+(OA0S=US;j~9{8JNIb(Rn#Ks!hzJ41F)FaYwfoS_@Zf?(pUDd=W
zkYj{*QGQ^=LGFWQe*yuK_8<W<PWw@IO5p(o0b<OWn1^d}LYU~>!UZk5d^u{6qqH5q
z_#8$W1okL4n;RL0iKffZ(`{MH%8oQ3HiU)(d4XqhCV_LLsJyDGSRW%0$g|Z-*$Ib|
zyYe`6XG(F*d(FY1a14y(2I)UopS&+3s~bb`ICc25ST-UEIoz%x4Q;U+C1qP|{>moX
zTlz@*Z!zX^yW<|P0Jwr+KmStzlAv`iU=1_Nh>D7W=%*}~nD5`euOpMhibsWpdaS&K
zrF#DSIndekh3)Q|7@gdJh7NdT?#P`h0N2Np<KwKcq4{|YD<dE_1w1(bbYT9n=Ss@V
z)YpVvn4424K`U#F=vf2V@}r(03vzdJGfNp*y$G86<NBvQc4W-}k+DBohAroO)R)FL
zCaHw1*c%y9moHjX&)(nN7)OB)3B07OK%XT6@TR+Tfs_wYQXOxoRnu^BaX~h{VbtpS
zI=~lYkbsdVJLpn2#(>5pA%VcirVId6MMds^DSPKuj8B~-tAYg`O~bP55(YM$?ClNC
zBY~`BeEqdfdX7<_#ySll0nae4^W`CF@=RW#SWO5`ep&Hj3-h$Px*B}k7=aj~O<m+f
z6|=p7lb;f;>+!0ew;>10>xmFC-8#6?l-%50z3H1hv#{Wj;wWvvc*|Fl*U(4`3lm5Q
zhNEM}u}7a~EbnM<Kd!=no`XYdt^~ZnGUq*EplDT5!7E=BY0SDAX!*GJ8u-3QC2?hI
z$9|!#w(VEwv6c^d)IX{19==+7ukIBZ>459aSu(Zz1RAa^8pxMlQBcTcrMZgHJ^4{i
zD0@>6UrfhR5o5?l`USZ5jE|42G_&Wp2q@(APd4t(XDiPHH_>B3Inc<y;{*Pd7fcOg
z%I_5N>rNuL2^$Quq`3a5O!|8Q46_`6DuxyF6DpVcQX<iHAb4i2D(T~1hDFM-6>nCR
zSY4qV*mDM{8DWdTuoH`q+9H!&aqg!>QIrHT8e=7TF{B+aA>V%7fL4z6daGKCJ0yRf
zB=wKFglUK1)+iVjwqx}rz2aOOUJ)`hFY=#u@U>uW8gM9VDb=jWCEMcPtA|m*o*%Bl
z+%|a0V27b=g!Ki1TV$Zt!&Kl}Af-eh7jRu$uUB0ef<x~=QXA>cR_b>KuW4{$YV22j
z88fJA=3GsFYBC963{4;EhiUd?;#y7b)=z)6438s+3wX2LN3y(5QA><0qd&jZ%|s$n
z?PZ?N7MJZ%Nj80Vnehh0oR~Qa-t~RS#ciObDO?_<qy3SQ_%Kp-amSBh+05(MA(q$w
ziEgKRVF2nxzBspwmU8$mhcATDOUyhm`{@%7Twe0r|B3QvYu>J|db;~c;f8j3)w_cs
z{_0#qki6G^Vgv#Up$X!~mtW(u87FxT_(?@!@Jp3B-XnS_EW))F?tF_`K>cxhApNJX
zHyxP`9XX%>FyLbUWhbxrWP;w2!eDIZ#!%|z1%tEx@Wbma(54ku*IM2F9O`MPic&t@
z-7SD^g&(**kNu_o<!1egEOWm)>4@pBot>rwhL%&+6P!oUazKg)bjNpBD{fZyrPJW*
zRw%alVT~?Q(OaYGpYE{l27c>jYVg)M&JK3LW5hYJ?2o6yQxyMy!ZiBO|H3pl2jftG
z7o}SX;r-aBIpxK%enWQQfc9EYXL~y3dpMeDr;QQjn$Yb`Wc#uJ7SfeSNP5G}b<W-E
z;&^jCH`=>njIwW{Z2Lxejyx1SQ|XL^`KW)dgQ~L9UQX!Vq5y5D8R1_nhUg=B6FVml
zvu%jt(7;WLhEczP{Qt<wt7YHshuZ1-XtVCtSckxaAmw09cl_n_gkm9x^4<MdbqNs@
zs{_(MqLB$())%Gh`NxY;kVyf3RlGT;`y6S|Q)H!tR1yv=seXSlHMc+?89y*xqXz+{
z@F%ZO;_q<9!({#3vPK^vW)DjZ?e9(HvBteZFUJom@d!8E>OOUXJE>yhn4w{caZcGv
z$cKsJC6lV%_4po{$^bw1rFQ{BDsL@1Yz;HG?wHmGuOJBjKrcxOBT%1u(iOLVS1L}O
zjy{A{y7NtY3;-EZr)KE11n`#H`-t>^klHlDH3xmGPA^Or#3BESiPn^x1_L2LMS21=
z<Q1AqS@^fmKYQ^{oevS(&vjGy4{W%<J%+Q5wDv^%F!P)eCgk&YP&j08E}D2UwC27C
zC0xp6QPmL@pV{HQd+_28#c4C{qw3$G-jBw&m1&g2CvHXm6y@K?s?>5Iw5a%d8maJP
zP!PV;uUQOFAVvf@j)#KSaqaH0rqI5=W`VV(hnvMoS;~WMFGt230z>?Q{TdvuhOvq7
zZRvQ~EGsiBY6Mb99Lo;964_Q!T+QCVfHlE<2p9M2rq+FQb7pU+FY<p?*K&bXsAlwB
zv}9CAW5UA!!XqP-^8Rbv>)-r;aXt8jPa`bqyibtI`emmdXl*<sICglvz%Cj8F!mg{
z+~fAx5mcYPa&?159lb4n0ndU-s)M0C6Yls2IAM74cTZk5_1Lf1*?X(d8@xyuIv|>h
zv@BWh?25D1NMqC4I3g@`zqV(-GMBrSgM~JwDx2zJd0e6+fH0$PwC>Z-{}FP5s$pKY
z)lZp`<;^vp3?n+as;HkRHU1UWT^8Rcyhd^kU5EUsCMc0r#+I4(rQ)k>aqdcozT)T)
z122ja`Q}$UU<4sxJtP|3jrLhkpwqlecDTQZfGovayID|gAIb?vq=u4gHm$wcZ9Sv$
z@$p7OkeFDxJCHKR?Sw)^F<y#e4h>5ut))1h5rse|$NA$22vom3gKW0rSZnh`|GZIs
zm~D~@IiOZ9G0(Zt2lDi>J@&h%Z1q-U2!bNf<?8uteRDzPlNPpTO0^DJCvHR+22cJG
zA8i!rCm0UCbsPA+CDA4mv|2;QU%fX*<8hI5c#1Xbzk92voig}sE(qq4F*P_Gj}GCg
zgykjgyGdoC$xJ#})hk@!{H)*TRF^szqsO)#o(mgqr1@(jz+Rz0c-*m<D9EX3v+LtX
z)1KmS<p*jF9c(dJ+q;CmE7Oo|8))0vKFzpT4JecP*}h2#!Q^BBEX*;*FIy-Cp)K;S
z!y*CORQPDWT2C=x_<v)}#Z=jKijJ}3om64u3m|9mI&!LgXCTk@(K_u9j_nbfDrYK@
z0SJL;aCsCaWKrXm67%&%pm@e&MZEFy%l<bCaxxak{0Zd*D_>-ir@yZ@c3i)}6UqIQ
zpTX<OCa%bL{YgDCE?Zs%Q%GVBOZ+%^i)JTx>P4d0f$Rl>;D@AJpRQV3sh*>ptcst5
zYI~eX8DN`)4+m4lf)ajjBVM}<^ca1?FU*1=d3dEG(!!Mf<M@u54kj;YUXR<bWl3$7
znmv82h0hYvB|h(Mna`E7_Dr@7#6(zDzTlqIT2!sNwj1)STHp8T{iw`G!tH6zgO;bC
z11g~0-0WKw>Cvt(zdlzNAyDyx;PEcbLI2Ru(D9`~AfEYB9OH@U)ofvDnKGoI3Cdj%
z&HcqF7)<Opw`?|btiFDY5Pc0x1>7%eXdNXaB;@6>A`5Z(6A}{M5(En~DF8ath5TVa
zKmZ6gg{9(5qz5kNUJRih5Rs6wIrIR}==0}81sGlm3V6V`_GMyW8Rde;hJ2Ed0Sue>
zbeHt>^l_PR7p8|`4O9((6m&k4{1ZJ!=>GompThWGLKfdW)Q5o|k5T6N`RRur5j-cS
zr<r04H!gC<wjW`Ea6e>ZWB?Jch~?zuWJ#o@4H=-KqQ;$+t$lS+R>mz?MgS!k04z#>
z0f-<y-P;p0x~Cizm9&ONMmgEpTj7h^I0|xd-?VUGSzTOQv{z8AydJNiM4F)VD99FI
zzC`p+Eh~#qIqd80wYIiq0p9JRn22o;T#wv3+84P}o`s;|{_-VNSw>b?&=gO70d8S*
zR8CRxUpaAzy8r(}*H?zcv36TFK@udm2Z!M9Zo%DM0t5)|?n#i~1b24}?(Xi5ySuwh
zCFeUc_s*T+S3ST}(p~k|+IuentFlS$dsYVU)_l1;TL+9`jz2;}Ljy76`Q#t7FTo7n
z`c-E@9;q)8r~PEr?Y0gJe>zZ^Ea?3LKJ=(4p^*x>vXL_AO}5L9Qti4eR{HSBCLy3r
z?kL>idTuxZJ1ov1dPw!5fQ#L6PXP%q#RlA=vl0@p&6VtNU3B~3jC4xJGmwH5l!3t4
zot<*5mmC12=jACy7j0;qyz{PW5uwEt7ZtUeSHca`K~=5(t!loLB^rW_Am*`Ns?U$M
z564wW4fo#iY^?(@rkQPC$j0-89z@iwRH!<${{rPVS;*D9Zp*s6n4g~yWC18Ulq6Z5
z?{`Z6hckwV99ev*+3P}Pv8(-I(Jg@_6CPDoJenY7Knj?8d_@vs%=G|sG;VlSn%jME
zo3Rfi3i>ZvYWKdH&Qiz>Kp?{@Y~2J~R^%oj8w$Sr3F?Q(k5KYM)9mv!Cv+~$4(*j@
zd{4s186C?NR8<4V^drrLvmi>;IgtTd(XOS+Xa+9?;k)0LTs+Z49iZ)Y2Kb>FGEV2@
zB;`JRxLutgXhv->+xw<^Z&ewd+f?3XcYM%qrUTc(5f#t#lexx*$AGT$i0}{ns^}xa
zlhR=tju0}S_jBwL0(RN0>8XlzJ3QSG6*x*Jy$BhcfsmG&Yun!q`?7<7quzC>%#g-u
zcP`|v7#3>wl@9O8`fTGiK#Li$-2FqZTHSwWw^#8Q4?HBFp91NnJ6@cfFOE3`<09k3
z@A_?iSNCM>`~~ab{?9WpnO|^OhQHz=Wo=?JXwmX4Px;@tRW`?gBCv0FNA6jRf{nL#
zHfdPnF?j`EecA{gZ~Cq&NRXN><o;DzODX@WvX(mxKLmHru|-=B$+r>y-V(0zYM)zQ
z0T&HcFY1@xoiel$Haa=AV8Q#wz4ch-(cn1Ui+7-1!z2CYoGt=|?l#-x_&5R|4{EZu
z4)T6h`RFtmKmEA8yn@ifuQ0i};n8UKDSK&j&^e6Sbv4>>k;bxoH1Bv+J9hzJ!~dB>
zm@od9IYjdfQsl~$<)VLF#cI!MtInJ|jbPlxb_|oY^C|zWcek(+da+bkgEGGejLU`Z
z)1{w!Ie;d7AQnwJe<hYx@5DFcnuDeXR(+hy22IY-;XM{ExPccPVfD%I{m4r290Q_`
z#mVugpwQ%{dAG%e<L-_2(-K5+9n>vHfm>p^rBpbtUAct+EH9VKk)ae?q=^on^M#(G
z@=b1eU8(N#`AWLYm%3x!FpS=(+qvtKoyj?)CXN!FmhIvpE>vHR9Nl}fv4EKmH)(EK
zAsq}zZ^ZvhS0^$4Qm^*Sj04^{Eo>Lhw|gB9GCgR$c3)_<e(COD<6u};mq{HyF-tJ~
zYS`bNmioFrT0gRRv<P!~#H7#X0}E=0i}>#{9k$ln>m>Y(i9YyEsnQl&vfa*B{wwLd
zeT%>qHswDxNi097(yvIXBO?ZR0q?7$XN+vA(Vh$f;fJB_^l<%w2)QLLWN)v(Jd*x4
z0#(_CQi~-p+uM32m6Wr?`223Y%nv3>8G=c%i4pt5XZzx(B*sYCpF@_0252Fob={?o
zG2xwUo~;H=(`9Y%2eZ;o+dDo5Ai`s_5cdzoz=B5jw`Mh7@T&Z`GvkdocqY#5LGLD}
z5DuqsZg;h^1e2;whZ9~G&+exu0^dS_eh)*<WX=u0C(sdH>f<ME<9)CMcxhci0T~ao
znkOM$a-e_tfbWQ#+FW|QMo@pOH=nf!gS<e#Qe_IHmh2z)sZAZY@Sv*uw_CiveeTb{
zy)a$obYs3a+3fyN^_Btu5$`vxxE1fsq3LE*5|{XC-RCYDX`rxkg;ZxCyxyMND`4FQ
z+T#Cq`hDpfYjY=@cFJ*$0l_=MA0^G6)}58`%TBxLA97wf2x!s&PZ|`Yua${4D2aOT
zqb_#Q&|r~m(og^SWXG?KWzoU{NKIFaRatpNH`6Cb%@uQy#M<;=m+LVEQ;yl2j<EL8
z-gnb#ssPi(H%Y72eJ$d@>R#4(dH=Hva7*m&<J1}$Zt@#WyvQ0kp(hUPQ-cy-x}NTX
ze<Ul`q=HLnHf&bPg_Z*mS&kHS0o}-YJ<i*Wh1=M*1q7s(^HrKxj&R+}Gi!Cz0a8}(
z=WE?JI!m<BZ}6AF^eCc=P~JxWu#0}+St_IH5}~jefilRa;)bg&8!Js0x0Obo{m%jd
zU+a#)puDC=epYv9*mQEzJeon<-K=Kk6;niCKRj?W5b9@1%WGcn*GMFIt@fK;T}89D
zf&8caMTxZO=1HFw7xa-6B>1{KhUoKEACKLo|A(wN{gU*^fUD<rThk6g>hDu3o28X<
z;UkavQIwjbCin23A;OjP)_qqQF*8{wgNv4a(nAxgkj@s9u`56;jzIpsVALx~b!FQ9
zI%D+S?)u?u+FjC0ZHppPU}s@in|}u6O&96&=C3C4p75F<%#O+GG&s}WY)s?NI&Jt6
z#e-!9wt2Z(WUFc=0}A#`*dxf<=Z9m{%O!V0ne03kpL*|<HqXmC>F-)25S@(n>A&xX
zInwWd1%0?9dbK9>?v!_R*lXVo9s(5VH|3dLcEjSW|6ZYWY8rC=u@6uMwKKr{mBIL3
z!FVWX#B!G?Gymn$lq$AYC;le2@7yUG-c5v_LCuRQJ@kEH|3+_3S1CqFr9`-|GW`G2
z9B@5e_l@wy3fv!ZbM^Hjt1QES*kB(Xq~`pVrg{DC1dw=Iz>jZ^a7=Mo<;+<%fB@C%
zXAIeT0KdQY&W!ZYGpBeLxPw=wB@C96pC50CEVp(xlln+wTv9;ddqakm(o0*NOc#m%
zOSQ|aWYmA>Ldgkje@#Ogo`y>;bx1d9vOnz!Z2SX7aE@cwo{>tk?<)2h^p%jht0xEj
zn@vuE*t_FGIY;4R+QF{?sVRAYNF@~>0M1eu;hIt*2Xi~AL+Pdu<NI6Tfl>X9oDZRb
zkxIos>1ZdN(Dxgh>9;;J18-s#mFyokdS9`_biZ;G3q5@+NlKa!Wdk(t^eW%<b;j8D
ziw{98x0xm<F(Zk+WuN-$oiEA5EWQpxgPN^7WIkoK5f4K}`goY96Rar%j)LnhfkeUp
zQ-1^%9v(hZVNZD5_N&DRi-tB1r|oCuXn23*y{Y|x0DSMo@bGZz*x+DH+r+(T;_n9s
z2f%c$sXzt&Y2&<vRo)RAG>pyfYkvj=u|81VscG%{LxN!5;{wfTiQMOj<-gz*4-XF=
z4mx*@hli8%Yb&552lAApKAJJ%V=`84nWyc+fv`CpR3#;0L3%keK(6}TAG`1GHkKt`
z%_|w1UAVZoAZ*dhZ5PB=KrfE&NdfpF&7}(y`Jf?x^9^AIpmZC8=*x5Q0PE{Mg!5S@
z+20}lAD)hn&DsXXABg>b8g4HBR}SR4O7j5MeLWf(YGP{Y(*z<GT3A>ZXSlM$rhNlo
zpjahBA3yYk8BU267x31TuY&43&&wk>kDvx1aCM$OkZ42`D+Q-Siy1Pu`|9?mkKW06
z<nzH3T@(m!dZfO4<L5i@<wo)>Q6^82Xq;BDP{pv~&WFGgF|cdf{xt_^z)t|dP3j%M
zgwaOUyv^=f5U}p4L4rp>aI|ydd#=sMAmZjuN{UIyY%-hB8Tl36mL^u1w#ewPBQqj-
zA)n4KD=C>tt~yxtdi2ax{)`^t^LWfLs4p)e@h<Gf9jh#PmcP7=C7Ybhusa9{%B^Xm
zrKWE5dSqv#g4Ny4?m0D!OL>o^Y=mHLK9w&&n{o}90|0V(7IUR-oyBGN-j*9>5-yJ$
z+U+$4y=Dyuf8putmRL5->6`#0!V{pS`%(#r+^MO9lVV~<SAV;D2d=%|Qn00p%UT^w
z7bb<s0!HL%yl%p>MZYXs96F%pa)pU(jLrKPlj1Fct8@u8yPD2Vf!_1ixPlpTs?_wa
z7l@iv4w^s1$l5OV_8QhB$>UHoYoah_tMQZzRaEhYXub3+mFTkoW1$0VdIXT|>XR;B
zX4J2Z!sNFzOI>z4EHy^hrGQU&kKYyCjt6Wu_gj6r&E8~~s95IM`1ufr#(KvypU;LW
zpVW>gkIjIIPZ#?b;~53bHre18ql?jwboL#ReWzn3Z<Qmc(nm>bu}fRY)7^wm;EK0D
zNo!8<fYXEyLo?+LD2e&myrh^i)38K$=+Tl#TWS6i63L7!PpR-=F3$|+`(Noh<&hHv
z(7>QC1YG1uIN$eBX*ki7frN>2(r;ZFo`E&dF9UrV^vy9>Of-1U<m3%>-<fre!qw|M
z&zLWHWm!aeBGfzL>2V&3x6n``3JU5fN4i)jx*i>k)YK<h;F?({buSk>3w87!dTOGq
zHzcZpBEri1Y(Jph4QxFNGC7)pcjukbA0I`m?Z;BM92#C5Saw$)Io|5O;dInsc*htV
zZjg{uW$RU;CREz6q5JeAokm*21y|<%FBf3VC>2`&O@hdh9aVA~el&6_dou&}6F50>
z_`@Ru`MEZv-#Rm#C7*PiBB`$9LJ790O3sfIF0>0)wsIAsA@<)#0t+@LbtmqXfF+P<
z>fP~qpWJ3daie#geJJevpy2wdKzTkX&t&zVRQpM{mp9tHi^@nX6oN!%;zY<n3?Y<<
zC+qmT2i3CG=t(CsWY-vk@I|;=!_RU7X-Ni?(@1tkxA!uSOw}54t9j+oxrhQ3=Lci6
zas*th2g6}}*-m6jTZ^W06dZiMDBu{ivwi9X^9z8HY)ypIY8k570j(c#KkG(L(DjxZ
zmld<c+tKzsoucg6$JI2p1+VelJF;V7xi~lO&{zpn`j%Id2LiXXRXI;jZw}3RL^K~{
z!-+_qRTlb1^biOvakUx$AOOOZ3f%7xza@S^8oio{aBH44?`e6$kahad8Lt)2Y30Lt
z2riM=gn4?q$f0M0{bDg(BN`_wMK8h6Xg&8}wfN2RyQx{myx@P1Oz3aGY5(%&P{7&P
z)En84n(VojuVBvh<oHk^?CZ!vpQ^69Ub7Zk`}1y#$I0lkL$hI>JdFJYsx;%HBHD<y
z_@2z$*K2PqtUhCh9~k#8<rGqQ<Z>soS?Axbny~bzdE^qeN&-H4tyD$wtlOR5;W}G)
z^+mXVUt-oL@6|V!&K%aS%cdS<-lif-QpU0o@|&)^!ml4TsoU^NmMXd2>fV)B!MxWs
z?p}pzj20zA_CdN96~*{bQrpUom{qOq!rTsa8DN}o7Wh@A&$_Byw$(AxPvETGGoNIM
zW7j#89pNBwoZgM?%*gb3&(0C>=5~Pol}i8ytERcQytU4#>~*C;i(D>7%<|kBztQ$|
z`6}hdkhUq}k-)u#u(I6eS$#J0RJ|(4&4vB%<VW@CN%u#?0aRV4wCR^&vy%cO`fZIB
z7GMq|?{KsX=}^JRa6zJ%8P>Q~Z`ZoSMGpEGTt?%82HeNoVhW3m@iX#NQniDr+2EC*
zUwAmN4PtGkR&U4S_eYm%4L~=Zj}q`!&nw?4=;rEQho579?NEUbB5<N*{3l#a;@QnS
zRQGDcXX2)wV3^GbZPMy!Myz+MhVR60Nt7l}>C`=%z1LgGPy{*jAwWS>MjztEbK4L?
zg5WjH^c-&^pvI)B&QaDY?E3nK$kX`I!pgYbNb<b#yW=255jja<txY_SHZ7aGEf}{I
zZZ||y1$`|k#xej5k`GIw4F`ve#ue0Or%=$By*)c68@yacR7_(l=Y}5N?1VbAGUGQ=
zRY!s%ovsrNXU;Z8zuUh7QJ?6-7dt&Uo9H(ZZ48dQNu~M_$HfQ%vaJz1RC683g?an&
zUDJKhy@}z$Lawt6=(9%Bhl#y#mN-O%O%P{Oc{Y=ps#-Wb_kT|EJC!W2uEL6pr1!$q
zRES4>N;=2utqv3DleYN#B6xW2<PQuFcNGa4W(VG*hO+gQ*9jO+@~fV4dKyV+PS%T-
z;&#(%Zik<!L3@b&$`8{5O=w!sBKym0?=l}lapG9BVxpD(HLv!UxrGqbtEyOhpGqtZ
zfUo}jq8%My%g*dRHjFP-aUq*m_nsqnhF2Z3!~)8@?l!$eV|10dk*~N5?xXWH&h<)O
z?n;2nyJQH2rRH_?eY_I!5`1VxAQHDxdjdJPtc8_Jkj!Q{nYIUJb4>_<d}e=jd)!3{
zois%m014K;I5$dv+By!z$aVQfY7lhFN{S2mq=y(i4G)zblTffZ`#psh@^q(o=LD^f
z$x#>O&pAM4K?lU;F;CmO8G>{iI-dsIXX<<wTo1orP5Oy!SEX~LjTm{cjEyC&bh+wY
zF&&I17EdfWZ*zuM!~g>7uO`a*O|a=Jjh^RPF~hd2Ke;(UWhWbk5L5;c!P+NOKWsX)
zE{ySXQn7V?{K4%)|E!p!0q1bE<m5%Ag&#qJPFFWwtBG6bX(#OV#}$Y2N-KFS_0PLt
zvlCL6UYgK3JKHo#B$ff&=lz!{$Et`2IUNsb-s4YZlGc;aANthf=CP&b<WntIuRe4Q
ztRk8tEH_>jZg93SnFFXb7B(77{d8{t6ZkJ%DQ*JV3ZNNODm#({C=(9aAByfgj2
zQ$vaz)K+-Q#5kS%^B15`)T;0P6>uoWd&AjntJ)q#I+TYO2?Bj)6^-to86%uOF`ByM
z#F<U<yjr0GXZe!CHzyTAl4o1<Ft2SeBx?oC*WdiGX@h;&lD&JnJ5yOmGV-M(S3E4l
z<auqgQu$p%bKKC8LuO!Kl^tkrhX!gx|Kl+#Y@GUMnd~UN-;K>uUCp0}rMsuLcca*H
zKi&noXuKrB{Gb;|?<Bye9>rW$D`&`COEA$jFgAUh+Pk=<v_zVcJcAgbVI*&whXuu`
znkP9^ehI#h8Li0JwBII)k{NwFr3DdEQX{5Fq08RX`a`O?fM#u=z>#+BWn4O7MPg8e
zE`7#qXpDjJS1fUhsHK^IoL%{i|Aiq$4Gfs+&JZ_S#NzY!6kJUU5*#oVeCryizF6Vm
zDUOjGR*0MnvXSoVZ+D-<H=12h$u^+~lydSiV^oE)svMQhdqxFwKO+a<^TkncgDV6o
zE_ogdAHbn^U*uqsVyb1W9u^K57x0w2PQ_yNAKin)r5SSRcd$%sU2)^$l0wJsf|>RW
zbEjLy%;5>98SbX@HLOE1tVJ%q-38|?cU!sw9?{mBT=T)^=BWEEJP?9_9$Hq`is;6#
zgi6?tk&)3t9f+CD(^B-?%!&V*VP;NERkI%pz+s^8U1N6<PBnydxGeSw105Xzc5_+6
zlX;B76XOc*iyR=v{cXU6J5~Fu81Y?FQj(RsEqk)zS>g{sX8U${WMpVa_1-^6oCO!R
z9^kAy{sdgodjpZQ(7%<FnHm{Q?yUF^OoPEM3K#DKqNJUFNsz(7z)kWrzVZDzp8$BM
zFLmnq@ZAAamzeM6#f!vuYG7mI1Jyg*$&NlA*w#k#R`T36ZS7?5Ou3(#R)=L)(hZFz
z0X2_|78lpH(7M_lllsKSuM&(up++VI|8P?_Rw3QZe*E41<@~2`0JM95p6owce-H|=
zC4@MMbAfaUvx9}J%rkek-W3)mFhfU4S?_X6z@}WJYNk9(7)8(J`0(q^eWH!5Ogg_V
zx9Z*X;p`u+vdlKM*2x9V^h4Cxu70y?R1%eDVt{7Vv)$9w@oX(Tk|PvhfhNFiVP<=d
z>C*X+hi6{(bV#540<A8pqZ>nfzVOIGwb_)43jd7P<<7_-56{F(Rxh6Z!_S9(jg5^C
zyJO1Qu+=Ehn!GM?R|x)nNbFnQ83|DQj(g*JE&RD)z!`nD)hjuvP)hUq{i^IQ`uSJW
zNF~zvq#7#ayn;fnB(~d|<HdpkO7pxGnyZI-7s>-Al%R5@1vgJoqZS>9P1;I~Y(2LN
zSF0WK%X?29+N0Fk^pZlQu$NeKuLTV1AoEqKMb)9o0j)#zo0zd(X=$E_zRdwj(*n*&
zHseuQqoBLVkHVSApjJEh{PiuhHwA^N?unE7w3yP;P0d02wB@g9qV6xTUZR$Lz<^?X
zn?S7bEd#5k{+GG3$RXtuqu8t-dSZ*?^N{tLnwrT;Kq;Qxz0tVPMrLu~WJ1^~n5lcl
z<STLwK@zINV;X$tta=Wpw6zv2?r9-YZ`JZ_2Doo{4L&!m!9%@)ZKnwn`XXxv#yEJl
zaB4MZzGY0Ksorm<WO4s@$6fhVld7rxNzA1Kkyw|CKEZ;XrIX<XsH)r4Y_Zgp7#JAb
zn&15=6v{M`<-sbc&CWH!vQ5HFYrHrZX(iN}78|3O(S^A*ij1l>*)kN|nv)``4Z(8u
zQR#BCxltgsPy2Y#S8|vXijlj@_2ImJhC)B}#BF9`Xs9%zGhI;WjYa99m5T;dQ|Z~1
zNwZ0MjU^IMoo*f(7B3FXWZ-5M^=QY7X!hoOExxEwX`pSSmSA<~(<m|aM5`LGfgPtn
z`l-tv$x{~$z7rVNC8-Y$4GSNBYuV_C?yKKI<$_&OLP9=->F}-ULIWr^h{xk@I=j2h
zEjHm-nVW!3TTd0=^~=S#lZ}Js=_@3s!CrPXn86WU5{8>AKZSW%KNkF#p~D^*l((VQ
z&r@+Y={ln=k3)&^Y+~7JV@{8(l*EHsa!;7yNZMRB8Cs^NT1_FVyWNE63~_%REFxHe
z{fiTPd31!(IeU=cbgU0;3Fc(=+p>q}jj{?DRuD+BcjTF;3{JI1Wou#irQu*K{j}^&
z_al5O!DacS3~vCEBkNaM_vgK}4FP$b#n-b@Y7efWa9D>jE1lo#B46kuB0;^Z*LogT
zTbMSwDFtp$2D8?2=eYKhD`$><b&rEyFPx0B@#eV7Sa$7O&AB<cF^<%>UEwMfQb_{|
zhgEFa;UB4dyxnK%8^5hC`Qgu!9}#==^%DB!-~(&Hg3uuw1ErhID|xOZ<xj2_XYY1D
zoT->B5+7SjH8dHk!NQ}eO`OyfeBPzjbN8+@eWNnEO3Q}^qWkuGgTp#2_>1>xxk8eX
zqWgiSBhPF${k7V&Ub-s5T@fWZwGOpyb~^odkU(_JM$B0swDq^PdPEHuI{+gDwc1{n
zHcAW3=bU9E_jtn#?DB6oY|KvC{Re<ZZ&feFr8LYajJq61@exaxc`h0Shf-3|S3p$}
zvQ0EQDGWHC>7TmT+3B#0L*Z7+4n7?0l>V--CTWa{p55C2B%>uF1-OT84?f4IXgTdt
zT~hqkTb5A8XPQ#p9jVFSwCp}dJM8<q4hmp#CX|A`eq!4r9!^}<so>{1y4Zeero*;K
z9PKHtS;cSW8c2#VBgw(QH()_lqz9dffWzmN^&O5CofnDQhk>}R#LxJM*S&YxMh5V@
zc&g@!N7K;TtciZ*#TrF1yEU_D7LN_*^dTLy9embxd_`${tNY66(}40Kx)FGH>r387
z3}6jYY@40K!vTON`LMyl?%n=h3XR-DrT~1IVei%vSxk`c<HZ`3dPJf&eeai?C7vUJ
zPOqah4FZthr-KSf>+idkJhvo#FXn3r#4M2PcQ*Brh=S9f59Ex*kW_5;VeFvuc!NG1
zBnhCVR4KoeUv#1&UO!<d?rlJNdC{91Jx(Q*REov6e?ZBPq6}|vBq6K7#hpZqu)8z4
z_WxnX&%twXJG1gEcH}(+0*PEle;QJQeu((Myepw$Zm+$`r;P7@?rc{s$)5&E5y6BZ
zrr#1r`ht4?DMJyc2?U><VoGVRfA`%tY(rtc0ZF)4^kI&*eB@hepJ~&qa>!%DpG|GB
z>WZ~ntc$4TEU?&~E^kYI1VtE-wj9+YIZED{uXeUe9G?=dyv|35K{9wh7Gw&Pa<S8!
zr%ukl_d_}>#F`wHWoZ{eZd<n4!>q`93+hK)x?mJD|Ez6$+P}@}e%c<F2%lAg*8*RN
zGIedc*7wY6IX7195<%!SS6WP3n(o3M%qHuh))B0&2w_qk@cZN2Y*uytpNqSrP`*WL
ziR>(+&=g*$lj(>cRBO+q4*%+Y=iX$*Wn#qog|(R`)A>mVU&<D*bMM%&wuq1tS|+p5
z{ixM4XydY#FH=*_H+<bl?m+_PC10n3f(|*|KePlv0@pu`?li9_*3GPZG4i1{qt=YI
zc<*KtO>XeG%Oa1vIHpH$1&h(NIy-8ATsG4m%9oMqPAuS}`@LV9Y;qwDce%!qsC+%)
zL*|3z9*bY@*q|f~Kn9s|Yj|bcMhw9}n=JPfn07mu#~rik1J@3_=W37W@M$8w1u5+9
zwtWrq)YJINA#UztEq7?$){Hin4hs_Tnt#kX5G%l{&dYEy$7>A!WPu*^?GTIb5<ky#
zF%XgHklD?WfrN^a@|xww?S$Ps9mNL<7eLJKM8=Q-j}p{?+%od_87LseSVfO?m*`%9
z8tn+p3Xfqp5OTAR_w#U}Q6IxmVqNR$;pIw7i6=^(qmzEfHJv~iO)(mcL#0%=@pXM#
zg_(tVUu6wbXRcb#Mq5jx(|qG9NkbkQ$Ldm@b&TEN&{rIXWce;tQKL^zK~w>~W#KW9
zpO?UzGrcj8t2VCKsd3M(2^86Rw7(>*2$l=aO&Y_$b5iWt$N1*CIozL7V1pzE8xkma
z?xZ@&-_E8H7Q5iL4OrfV-jPOD|GAV~)^2ez^~vMq2NsW~Ldxs8r5b};?XnUV8zsiP
zb-}g~$d>Ct8BBo?3G1^s&>HS{^`pm8;e!FzUdC$m5aWrU1>7?1xslcJuUB!3Jc{>Q
zeNoXj#)%Inu&-|C8MVq=Ot`5pX0GznXLlI|P~$UEM+-k~Z(i?R%cW|Pn>;s}<+1u!
z$Q!ir0#}X(T;&a19nPgnG{y!d6mswVitT-Ni#*E9^uw2T4yeTWyrU<$zx~B`8w_1x
zi?5sM^TAzUS&mGvURUKm1zK_OM9A`68tHf-CRa%<YoKs0VcozJI$qHz$@H6DmrFS>
z#f9C6qb*B_KEo`UcgnJOprFdTZcC;sXwVw}yE|*2368#OhS916PL<f{+#ZTqc^6Ya
z;-hS|L4)y7@0;SJE`IS#k2spr0~=NIu=en%Vx||k4>@Y9wI-v_36RNknjf@!H`}*A
z427M8?Vd6-YY(mU!WZ_rWWw#AKq3XAB!6M)F9~yILj8vJ4hXW&qNSK13sajm<1oJ3
zSDx?SP(sO1&T|8=G+A}Zx%``+OV|02@;qw}(=H@HwASkT(^6t;*JyNy%lLF**hksu
z<9)}ZRh@|JLuc9r8_&<Jfoif#i8Ud$Vp{m~Suz|cd}Eh&zH~$3iAT4Gq>`K`ubX^j
zA|F5*M>{{)NU{|nzifVI==R}GYurSz0pdRGcI;kN!%dw-r|8_OU3$)CKBYfz`i&kP
zNPv8Y`UfSXm^W9^3l1x161uBQ*Hb=Ty0d-Z=WevtwT14$oDK$k0oF_#9;Ow(YX*89
zkG?Y<rU3<N@n92H1L4>98kaJWqYvz;AVH-E>b;0pBOiA%U#8M#FTSP-{pe~JG#{&J
z->AQLrbjn)9miNJ(6F1p9@HWaNAp>!G9IBcYOH=}yR*6vx$%nWG5<j5VpTdIewu1X
z2gh02ekeG#hZU_@hmT`>9xp3b3Hsb{v=O!deOVh;xj+N~3h+~J?}@&Y{R%R9p^&%p
zjPpD-sK#UDg0xvxB;Q4Y5WHjON?q-5Xf^>G?{5y&pIH8K*6|t^zEyvb!)-Ne*EHF@
z)mdN@u2>}XvwW?{zW(-lWhb?oh+E@yx^-TRsYOGVE4k<1^(H)JT#xN_E62~BL7)B&
zDA5}&W#c)O%~RAW)a8@aoPXqP39*3OxLNeG3`+`Q2c7N6G7VA#sTD{NpkWx8{jO%W
z7-?X$I!hqfm{opKgnWsYZW8&XYCl6=G}EtEQh2;2tAzjQdml5oMR5LC;k9GFe27f4
z5)wwBRArT<s1nx9!u?3RKhvohw&b4V*>^E$&W0=dG~4CxCsJ4u{LN^1^rm|g9-UIB
z5BLky1b;sXN=v0y>6FuHQ@-M~<Ox!IzD!32by*QYONCLxuiwE(xEB|x{?a5J)WvNY
zL-APflse)c4KP+R8z#v}J{rUZZE?NvwKRRiSFpI3>NJ0IXwn$g+d2N=znuJ8ra?ti
z=ip{_X!LY1WM7+QBbw_YufimI&AvtP<vtg;tVe$y50}NzO0Io9+`~=_f{NAx=7{TL
z6!vL*Xmzs~J`YbRNAiQ71QbX!;*(}rU?XS3%0*D)Hi+oK&Pqy*Np`let^%&Kk8~Yy
zd$;Q)pe~PAHyxU!Ezgl%NKDfVKGc}UEgtv7=JqtADl?KPcSZEIaK~@-a+f!eQfmo_
zU8dL!rHU`&eibkb<GQXmSE1lbI3Il1F__l|sSgKP*i*iHNBS}|S(djxxNds^A4-KM
zqo`Q1EDlQ_ZP*s|jp|d^O>#tGK|z9gzH-Q$=y~!8aY;$Zil{@So0xBftzM6{`{mdO
zAXn7K_t45fQq&|*1cab~(Y4FzikZtC(GSBj2qX`t&~H>;Ue7nB!eP(cQv}RyGG`X%
zu>eoa#)jcpQBDpK^q?l9%-HjpaREBLbpIZx`XYK@fO?u16CQ{iVAR!JcK(=jVA;%@
zjm5AT0+mj+0nnR(L%fC&NUL=%cqKT^t`3=La9TLJ7cGFFt0DSZRq~3HI2)29xlqFf
zz~(=TN|Fk*wGZXmIhBXHu|fQ@<k803jlb91B<0UPJxRBdp~40O-0M4iA@sV5j?L!B
z(g+{dS6KpN=r;GnGNWfb=SLn<M?U1&(7#y7vuDkO|8cabkmo6k;J3JSYlf^tlsFco
zpV*(iJ%G#kcVAHa0RkydssC-|16wbdk>0ZegoNqQ(cd?7PGR4D`;(Faeqj};Y;NXd
zX8!eU3Q7nY8ym<6lf()L3{+Q9QLshm`W;0oF7?;HjDn0zfv1n(>p??PvnFnOc2>as
zN`ewyi4n*P1FXlw4AQ}A5;8Jdww%*=muF|=6BA~1g(W4SK|vXqK;W#Gi;K&CCtyr=
zabXV^4$<BpMGEvuv;=mxw|jbe6nVq}A-lHrA{aGO0UH-riVpbnhZYyL7s7IKa)9hG
z^YHh0oC@4kEtQoQ1JM-dEB+`@fY^h_c1>`<v%kN8a#G2><M!spT58sYL_pvbaA2Dr
zod85YqoasUh3~r6sgB*|BkX+j+~>d0v`QVTtErLG9sg0b#KzLMZ1yJ&GO!M=ds<Q)
z16JbxGM~z5_s#miGXp>_3s3>;=;-urJH%KGBrzAdC7)B9hQ$2M3dX{^t&z=GC)=&L
zjAeEx5g~~R9nQZWY?#j!9Cye0qWI1m5asZg<zqe}iNegMbUIItuG@w>Ub4>TqT>}8
z75$340hpIsdWqSxsG7<)ob31Wg|)Sdi_ovBm8saIv!mOho|_SxBvBGTEKJe%YIKmX
z2Tn7oPdGgw%?Hj4=uassMr8_fM@we|v6EKLJZ3(R^u;oIbxLyIg@?-j9s$URhNC}C
zW!^Wl6l*Ri>Ba+YiSAkIV{CG!X)hb|1nFAClRi1}K<bKmbeVO|^8ll%G6e)zl&RlZ
za;YV3@Yd#io%R9FnctW+l}mbY-A#vl6R@`?B^flc6B3PP`0t3Az(d){70shy;?GQO
z=rR*~8`Z-%e4ME(UkxLRbLF%aqFK13IPgbE;KI+Lf@?h0`Ywd?Q2akygj!T_*Lsq+
zc*2EmW8pf{mSi(gu`;62XSZ+H*xX~cM4G7#jFVZEs*fax`(xNAq2n0^L6`I<F-(x6
zs4~bABC03g?M($PT;VJ3ggs+L-<8UXFzSf;m74Ceo9Bdt;{o+Erqf29t>@gJ8{~|w
zeeBQ50<<>1m$`lN{Q9Cp7n;5V&y!!8&2v+4g^ekoMja!ep*BwA|CHu;5yXYTTumP3
zdD~iplW9)3XW<S`3*=gGvgMWk*Fa7<K1M*G#R5yW!{$Vg?N{vkhJm`V6gg|HD=`ga
zt&aTSuf+pKfUT|Hm%GZbIOnXL8Gqd-&0dSv&}t6e<@4iK`*Z<BnJLkI<-d>XhW@+W
z3;q~X*3xTy?dL}x3vpS#R?n8({$hS9pWKUJk9(S=8CK82?Vzcfz$)tzrMpFW4V@I!
zm-=>DUlZoP5H#qu=&8BUjfR%KG{|~ui_Pr;IU2k@)Z@>jUbf^jP^jvX##}B-0HGL#
zXTQI58A=_uoY3GMVDmj~^ZRZX<6(#1TkHVRUHRG<BX#GUw<wXanP$qGHID?*$@Z68
z)E?cgr8%pwK?(`Zu95=256z~;E}fez=WIty0TG0!C3Jkh%f}F#Jnw~Y)kmEB$yOD?
zv>;@kphi3`OMdU*Vsb<fk@xG>WEbiXtn!1|8fc^P$6D2_{+CM)@*8VXim;PXnEyx7
zY;O7P>Iw!Z2K&}qc{w{~jCSHem~g0W5g#LL37aTtsmwBnujk0>Ivi?KJ)#JF*ldS6
ziV5P`BKUf^;&%|R&yIW1)(Z!2o#pUZov!n8X<mbXE8U&O!cax7TzFVeac>?gqowz#
zx494a4$zL$QSZbhgo%-JQM8+N1L>DMIQS^mFTjbAkMjJ##v5;uJGgk9&Z>3mP*G1_
zD$P?K*G^9{&_G#N@E_uy9a+k^!&)hyJ9~{6ZMM-s8&A?Kx=UEE`YLh*ef84G`H0xn
z2YQM1)J$7fq;jN+cn<p_5{7KRHL{umJ=RyZALTc62%*z2FYC|geDj=V8+8%54^v4-
zn^|CO%=BgCJ5ahi@$nKXBp%fHVoQLv8Lp=K>Qd#7(siUhnl){047B1-MFqi-=;z7Q
z7OcZ$4t_IQuje!RDk`^M$o7{;V}zXQMs0@IUu5yzhfR;mE=+k-D4QMBJvkd)e^%j^
z-mGu9HBBBl^EXw2{a{75qp$Uhzzj>f=l02bAYV!v@l#>*Zbv@6J3E2*A8sxWmN&%-
zPgZly6d%&x3V(K%xF96e1c`L~v~w;-gemoEKJrAjNV+NchEbRGX83DC1M#0)Dd@Gi
zk^*|QUm*<}eQ%%_0)(EbPJ6Q;aO%Am=)^ttDIJzJzBJ{FFC>UDHU1Ha=Z+a2gquYu
zqVhFN`zAG)76e+hKN*DOA=Ezr6R-ks4!OZdDW@7fA@sh4FN9A;plh*B1qZbE{B%oe
zr<M)zj-+gfc0BQ-kNGV*5K+Vabs4T44gULgRQCBpNYJwR&cT2?C&-uL@R#1dTmWH#
zSJ6+1wC~`d_p}xux_l{poQ{Y2TFmskSg$dc=+kLBzV1!XWRVuA0<-&9+OR)W>Fvuw
zD<)mNWl#ayu7mvnO~}xJ9iPz@m<eVG+#3V~BBG@$1o0Vdg55$YYilv9PmXJ(GA6sH
zptnb2w(|M-TIyW}?%ghZ#-2l|3VaHgLA~QFlR(f4a&Afr^>CK_DHzXHXJm8~bWv5A
zY=2}tY*nHyuQM^HfIk@A)MEBqx7zgbtT%GT2>*%|;UPSw=@`}hC0sBYSlQ0&h#=b8
zV9Mui0gDJN$oI$C!FZTq1*Pl3e#=i7Vc==10ZM8n;&^pZn6EDZa(xvi$C6=H7%Fo|
zJ7g~G+76>-HMb0pq91eFzez?|;5n+_I}o_kl@Sg^#&?l9y(w&V$_m#<vcEt8R^RN2
z{q(pbGILi?g(EUAeI<SURZEE3n}_w@!|i#db%S*SB<tm+$K}|jl!Exh6h*Xux;=O0
zBtSMyfWti;eRePFCUH8ZCtGb$criDZc6)NdUhqy1Qx+{hlQsf~Xlk|riH?K)!DvXM
zft>!Ow7|ndx2b)6QYAo(US6ihCpgy52@4Be0@g!i=@$xxCmLof!{*un89a!nP&!1u
z%;uh&jl5MUGXfqoZYx7lfWb;A8-tm?RE>?SXlpg{1Lv*&z%4GL*~E?!hknn|1#*6i
ztEN~6dB8t&^`>$Bryck4P8ZsR*E8K*-(;-&p=MF-Q?;*Jl#t5?H@xy2D{;nsdd<5R
z7o;}~bGTZ7rCA2fJuP1GoniXx%I}n-g{*|tcqkoevc|gE5eY57o^FvEwwe)UN-8gm
ztG-vs^T&pM&vR3?m!nJP|L^os_9ryaDDO$zfs&M{)qL`YWHr1o)+<d`0$=N|mcCw|
zw%nZ2+S)Ow=)aG?I8V(Hs2g+Sz?`nsZ|aFrwbkxjf4|JMVM2TB!G>pxqlqIaY4Vi(
z%^bzt=A9tY7BE)!!Ash%4B;@x8eU`{H2)3-!iLd<z>**3$b|4sd>v56OaHj)flU|x
znYr;3Wc>S;XCC0$dOj}4Vm2LpHghc(geA}3UgsEPzeNcHhqYL9b3=a8O`^OX4J-Kw
zkby)})(GQZq>=2acb1aaHHrfV;o~)a4G88Z($-%U*iDoWdg?gCK}65mCwkFeow>3j
zLV?x}j4&J9E?g$hFd#>nKeX*mmZ1a#mFbtUJn<=)J57C1Xy#@G?`O=@KtSU++#!&*
z@ZkM2dS1H-P^e=|$xpcIoHFo06Fx^@Th;`;QYKyUdabKP=n#cO7hvCDg-{*6_xGVv
zHq46lVL$-IBiH}9LgSDTcD!Nz9!#Yp?1;leRHqQ5A#-@J)TVLvF{UgVJ01jXRS}+H
zf_=#yttbv!M->*nP;z$1|A-oj>{AgJAxX*3SW*@6L%LhPsA1z5!~BK7&y<@;Sr>b7
zT#NL!EymS|2TnotPTWK&1^&--M9=8B#SDX)MUhxUZKUe{(%IU+6pWNvO&vBGKw$sj
zQAa^d`LKh)Xn5anVjmIl;3074k;CVmCl$g`=U5s|9TCTsM%tc6Qxz+`>jd(6p2URR
ze(rS7QzrtVeAlE>m9Zwij*XkhvONg-xt{%Fc0!)T@}fp=E(DE-W%wGcguEA$*iG#M
zf-j#%QriSBo@;VdYwek?7{C6++@MaNsKt%#1J~%>r){T;1Irxqchr;gpKN5@4kItX
zew`gT988cPKw_`uXK1^p0+*+PUcBIvfxV-FB1;E%j29gpJyk>l3~n+$9~do`vL(?5
z@+OIlR5&kM4ED3;ncPT@9DVADaSC)mpQciPZ$%AR?2zA>rx|0wc<MyuGY`i(+;*-$
z(tKJAfznqKONg7{p)2NqR>pL6Z;BfuItWBx$^0xOsJu6RVfQ!~uTOn<@c!d89!=cr
z={bizF6L;ejY8ja?SB4pZNbAuT^#(B$x=8MYmNX&(RDN81J~fmVhaDziU7Qh&@8w$
zgg|4ad!Qw{@4XDZwt6bPb+kq!n7$D|B+-(N{1>ap(3;;?-o*R&?>+g`wZsdvvL>Ce
z$qLKL@_t*efqrYy?!V`N0Ln3-Y*KD$%AAUgSs=>`79k;s5FcRz^isH`BWD$Pd17Q)
z7jHs4K1<lJJ*t0;Fi0pee>7`QRaKoHRTL5ul9M|TK=-WB&;e9NBTOGZestGHdH&Xc
z1?LY;0H?o|XJvgeup)2*ghyyl=ckA-`u?x>w{vy^y+b@Vb&4gP$q8CnOxLdjDd&g&
zD<mYy`Z|Axx*KgGUP8mAhX#eYB+zuyw@jOF6Dczi{`biDP9IX%`%g|9)L-HYa1}v5
z)Hy6lz@VDn`$^*XGr*0VOmyTWU|?d3(qfJR(k%fVsiUN!AxZpDuD#3mO+f85Dd`53
zd4Pf+sLGa>bo5`9i+)Rx0Xf(fU%zI2mJ$-m1kyk!KjI<ob_F6$<2l&cMvmqbmzK&(
zNC4#{AVJe!WN*>~ltqC5gIClV5JHrfpRdd#4un~fl4diYdb+u}0S0pWOLaijG@z<d
zb{GbH5lY>_m_RJZSVTlbKBgz|?Es<S`@evEqQOBaxI9J#Ko=J+H%LQ6BP}hR?Ho={
zP7YLz1=6BKtx{(4k_crOzeBGsBv;Y4Gz*H0rKLR-6%|cPcHTlOSLRJ0h7jdvq*nL!
z^*I=;n17k+*J4>SO-xQcJUEbY+0fL~M8})j-4*dFS=`8H@OlJX?o7-hWwWD_X@-kc
zhX*I^935lQ(qeu&*5s)TXfQ+wpUnXF)4476^_(m$Q%iUFn#%sUjf4Vg$2olT^m3|&
zO1h;fB{jpmA$l$DlB)>YTU)?WK_GD3^Y#U)Dl`X!m5#17(u}gVzsA80MZbl(*k-kL
z@)oZ=nqGaj0Q*oGwiS@aRaeKy!~ngdqX$&2n@8tKf=lLbdG(SwWs21c2lwj(<IkVR
zwSFZhC&$L-Dq{<QRVr%5MUU7v!}=8BfvIoopQ*3*r6YVaF#RsBPd)mnA+7G2FYF%Y
z946S4Fsm2c?duS8OzCLb_)X4QIe6<mB_|BXQFv}(6K;`=Thgq&P}TFS`ng#RfvnbK
zKQ1rly1r2?*N8Y|;LsvjL`zqNW|H}MA)T#dVuf2&x+SKhra2-t^ipcei3&<TbRr>3
z&IG1a`GoGz4EPt;Oi_G{qvbu=1P9!*^2;d{7>jFYh#M(!ijOqDVX<}(M9T-xh8id7
zOR3q6)5TqwZqzglM^Fh>QoUaL^s{**pPfnni!}6TNIc?<P&paOtCT{Q7=XQvSnUBo
z|M=z0xqy*=Y(PE_dAO!m4e~L-6!{?jx5;v69~7e8Nr+VsJI?wA>JLle{5nY8`mW*3
zeRkh#@Vi_fS<GM(QhJqbv;W!kaxq7Gj#^>UBmEOtGu!xm-~XtXWTV;FHE=vH+;uWV
zhRizg+B(EStpTh6N=LJMKAFlX!TlKG7i}V6t=_?dGONyE<KL5uF%g#1OfFAo*tu6|
zk0s~*|0}N~xNr4qx%YQ+Dcr(DW{NYSiL>+N9TkK|pwFTI^L|h0&6%=@v)1A98vlWR
ztIU#~I?o9BvTZxGo@+gbZyl<0IFCG-43F6XQJh(<h9Px_<Nh9}dAnpfE8GsBUkAid
z&9!BrV1}_-U-CW7<_m9qG?|BuMz?Q8>S6^`2rCV31x_*AmZS$lTYkGefFjtCiWj;1
zyxeTR755F(VHq(io#5XPuJb#~)0Q_4>JrMwcpG$8rd#jS@B$Py{W&13r_?h``n5;(
zCviTZ9q!MK1ZfIk)Z(6k3ZlPdL^%-qL$FxSOZ{xDA)?bSb(z)VL*}X{^)upKL>Ldh
z9{c%K;vS6eLSORku~gOKJuS=2L`zW2mB-KwLAicCL!lcM$WF`gc`|>Wfl$Cb>gj8X
z?s-_YP{W2bHA=4fEFHfd=ic1V@LkaFgsXz|qf75qH*Re$0snuCG=qo3g5UWAI8g#g
zJ<ruU8e+4t9=4TD$c|U9E$hvficQT4SNt^AExa7F2?4lp|BwjH8*!HlE#eoLAbbtX
ztVObUMm4y9gh8$ywTAa<sA@J~L!qc!WA4e!{~q>(1^E`g*Q)E3rf1`%6q*}_Vthn!
zoQ#aYzzS(9RJlA`=ql1<0gqJ1K!ZMC=~dsxkD!g@uA0F|f3x{QDZhmLf2yl2iX|lf
zGV0r{EmMENL7!=6<X717ra!mvYNYcYav>8{0L14(b8}fjCLm`A6+|S(#ig1cn!ZvR
z0=s7J><ojP7EAZ$v6dXPwY|+4DbZM{k{%zcEY4C@YjzK3ij>e~0OUEE);`roMaMF1
z#Fd>`RJ7(6l$FSp45MtTI%y^L^UT#mBc|hjQ+rkH`iE4cUtYV(34Uh4zOYZokt2$w
zmYY656p~BxbFs=wmO=$Zva+)~yU4(T%9vbxT2E<n()^7OK1D*g=rxE_<c7`8&Pq!F
zP0u^wS8GZr;I&3Lfm7I2uOTQkmkqw(>Etj_yk|x%ldDvrW|Fm{MejDVW6;KAE{f2x
z%3bpCs-BK^;IjC@k}{-ji^G<OgLGfLR$L)^MNi#F?X*kwzK`sime8fLv!a%#{rkqU
ze;PGDSdE)c+oW5a9FJD5QGn)x;^C;sEpYP6OKq63ok~@Spk;iv{>Z*Pc&Y-3txhEV
z08Sg^NM+P~5c4}(<Cy)9*=jWL5_n1tz0};VzeBg+UMD>Drm<-Fs8_NvvjXDgykmb&
z#@b3zN};_ndOn>=s?Yd~G1<q&a~rrK(E^lzZhapN)@bN>g69oY=i$B{iN#?f$)M2F
zhVkspdCnfGU_B4()U=Vtnz>~S)fx8#ob~S2(XvyD*}U36kiK><-{ymH?x+&mv&kmS
zly3;dZnC3pL-OVXZT!(Zs{-<tX=zc;>5bP$hOedx-){5J4Iz)#>1H~=Ty%tKb_sVk
zR-?QaF@OqQHL;`V)ufKw@@v<Gp5IW}Eo0Lx&0R?TchDI<;SU@6;mJbolYA@)-O_|0
z;&T3RePj_XE-~z<`IK)e(}RkEg>lmVfW`gJ+6{}FRR0s1dMsE!&8B*Xv)m}Sr8aYa
z0Km$VEbyNCmBZo1b#L;8=HgBYQzJQFnKQgfr1|Be!53MoAaiI|lSdC1qK7yEtZ~g8
zaX3^aFqjE9EKm7Xs4xeZ<cMCt9FL-agwx$OIU6vt4iB~=GE$AO$t6c^hrL%rgwH&j
z-g%b_o_lXez~v=`-ZcFV>Z$IJ|AdYq(WYUEKH!Yds-{aEqEt+2u;+~6{W|%MNvy0d
z25r`5;X=QyX6*U1FtK5;RXKL}<{w^U+^X+T4NbS7ZAs8hw9S3xkKaaTG;`sw;fwuA
zMMmbus$@PD*0Ad1H8rpHv0sB>T67WI>vsSYi<?93;>Md7URsPeuNO1`HYDK__GDs&
z9oWYLTH63KOC|h=0f1^8xpk$Gx&ap@RH;jWIm_BB`b3a|j?VDrIc37Hs3<020&ubk
z(E1Dvh}rraot%K?e2z3QQgN4<JT4+sSBP9O#{>ZY0<d`nQbYRtCER`H+E6{&*w}zL
zO3`of`F~t`lUVCD$qo+S;NS|l^0KqL3~LnYpPoE374Ag8=>yGbKypQQ7Z4CI`PhXD
z6$SWE9peGuc4lVL(nbT&%P1>f0{^G4|9ZYDZXRxCVL?Mpokfq~cSoK3hi!!Xu3G>n
zMlA5p*55bopWpq<OMJp2N+s3@cA}&teEb>k8%F5O|4Aa8dA8i-0wtut*ke+4eRcKs
zk_tYet#eu%8Ih*Ss3<E($H$8w;{j>wDypj50;o{uC(AtMi8?amQ^O@AGCw9KC;xgQ
z0LX4=XvimOtr&0&I6Rb&-`d>;EV39-p8(^mKW10E1%UEBb(JDYVx`4nc6?m0Bc{2z
zxuM}c9uDvl#)-bCf@rL$U}9mpl!kr<H1xn^!N=pw$;oMP`xfBvl#4B-i>8%rRkBS>
z4XDu;Pj}lbjgHD`g=S}G$JU<$cYz|a>2&;<R)b{Y*+jN@Sb|JxD5|DKQ70U*4<OD3
z{0ktR0zcH6?9j@@RM6T_{3Dcrk_*7B=F}LhDNBavPu$Q#slrWM(55Hih3{wzxnMwE
z4_8s(?|XY+;btqEm2}e-IUK;|`<;PEgoES$)KW9(TK)iC)sY@>cXpSOf{Rtlw9M2?
zW28EB+1IYlmrn=x7euB%sr8}50~)uSsRezJXGOI_$<l3UGE|R8d9+-9&pTv%eA#tw
zYIvFtcJteprqWm|NL~`3S<^z9{nau70|&3{NWhsQCPt*xFP7QSJAn=JKNA~la=U8D
zYQ_N)Z6@A_<nZ}B86ku8YRE6LvF7#O<AgK7nBvZ&)}jV)->z$|ljpcs9`$FA#L8M&
z654(r>P-2*2nFO7@pJmP*;Y<Vp4xfGl;SZ7ImA)wujRL*lOb?dbRGa5nU?(YLmkBz
zSzrQ@XS`5jBX-pbA;(ZXEjhFj7Kp|Jqu;{2LVXFPsq7|(c8HyXKZG{(HpmXg{*$v}
zsYjsXE;jkTQLN$eA)RJlS~ube_7gWQi(=RJ5~_bN=wn>O#MHD7H4o42$vI`?YO9|l
zSuR4VN-d41avqzFM%Xeh3tBUG(=B`cwmvAE=0KC@+QFfQ<8uu^Gjgu}GFpt*s$D0d
zHLLx#rwayvzDQ1v)|DerS9eqmr5bmho1ZbqZl<H3i(4}4xf$4=Kc!YygvI(XYxTgN
z3sC*RszRvVliSNYX_VO5725#Ck>*uHgD%GmN$2{pN7v~6S74u^$&W5N7)9oV)!NbG
zy{bMhz@dm%^v|vnd;sTMCeMs)A)|>y@wZs7ZW{|Pfi7zELyAr^2@Y19-`-P@IJo_Q
zV$3VNUC5@Wb3M$$Bm3v++(XeScM}@$c;pDH_#kB{SDs2}`?;4jx1gU8FF6-SIoY22
z@yJyy-{mb*olWx!<I`+{MF?%O_kULfDWDoDKCEjx_>6q0JO(@IW5sTqk<!E;rySeh
zVKMi;(`ESQXhh#r;ue3g)ZxNCl<`$kd>M$f@$hV782l+s+i@f=%W8w4$%6kh`>3mf
z7e9jH7eEX0t-qTY(KfI%6Lln|C?A*#OsHNW3xYQ)(`k79rCfZ%Yy1KQF8)whL~7!G
z(A<ED9vH^yZTO5$hu3b~d-91YGp!AV?*|wB#7AMznT)sc0OmNw=}o?WaA&4Y|Iv!<
zDJI_o{xTGVRz~2J@@V!JviJA*pYvmN4FhjLw)zAqYX?jYLp=$hF&=@>;`I^BXhV>o
zuM&Lh16F4#R=avRefsb5SiYFF!@R!7nuG|#m030$-t#-4TP7-Nk9lkN3BQs3pHaa(
zDN1e41A~Z5hap%-C{W~?VFX>8hqQaUU$IY>$*znAcNvevVgSu%tqq}>ox<#3p}r5t
zEd)WAnESj18{axs>p~qPqtfGJ;H}Tim(BK&Retk5d5iF{5UqSi=TB>po(KNb4pRuW
z$lW%#xQ(JEdk~;X$U5H8D0fDMf5~w|dxJ#d1%KA*0%B4c$X{XxM$&rC^~?;%P9Kz3
zF{jyOGZh>k&tWOHZ`RqAQ&k5I8BXC7SQh>lZ*Kt<N4Rc_P9On-OA;hV2myk-TLQt|
z-Q696had^T-QC^Y-ED9ioWb4ob&`Gd+2@@7Zryj^t2Z@O=}Iy^Ju}_?uWx;8eQUhW
zVLNAxALdisD|ZqBmo@)SqdCJ%uYY#|e&f^!nTHSO@oiw^%@45npl>@(i(YYz(+~`;
z+vuYooYFk%>-7h-YVZ!a=zn!_QSW{Q4t_uu*ObKjL;}*G%)I11dLN7m0x8!JR_a~F
zy#~Ge`gDIAFW(!YJ<DY6u{;B9=1{$PZ?yvu_Iv7{8p=xKN?QieKmS44mxLIa>-+Y4
zG7fmTIqp?BwhG!wl3TUZTQ7ao=K$XI&-(Kn6Xhg)Jlesn_L1jEfmV!%)!8!cAcksh
zDUq;^2?hSvl5o3N*{I@L^^2WP?Q_r!PLtlU^BcKAEL~&)w`!Gt((fq2Le{v|Skcm+
z_#CF%G5JR+$Enz8w|nv%7(cz>w!OK5z9iR5&%x8ls71GKWp3hmlghgi>RTK~=+M-*
z(;)8p9~+H{-88Eadu-_nqnQK~;i+l6vVP#U1-UWOS1c^e@g_!0**B?iOHE%<uRgaq
z-vzdC0N`=-wa5&{-|uiEY|?<Y#m?IYR>W7ao&sZL1mZb}=VtNb3|9<`{GT$ai~pZx
zRO$}Rf4}bx`2Qmnll(NnKW#Nh2G82;=DOcjBW+o}HLU&&%yob*{eynTKtuP^DQnl%
zH;_&f4jnr<NK2-~2szBRV@o^E)^K~5;i5rsZ=~%~0HA^XBZF=b*4H)hKr3vc&(SD&
zPwRMv6qCF>jy+Lp)J1MD_BAcb(rjWz2`WE8@NXnJDP<FX+1??MLG#J-$_dxX{3E|F
zps)+}sHv|An)tx&4HPC)7FBz>shH)gOHm3gYnvbCz@T?rR-=7qULe-(PixjX@B#&4
zui!%p_0B`7$saI_-085(yArKekyEvc7`So471R5nVO+!tO`b}J#Rc5M5EeI;Ma8BR
z;V7Y~;;p+yfSQhzye%}XAX=}~YmX6Npw;XoD^Gl&k||Q7e>^yqyc}UYu(><3f7%tY
z=@fmUm$W!yjV!B~OT%|zc|=)4soE<>RTbn`O&5iYv`@J%qTTCn_fm%dudJ_uGk{8b
zo?#AE9f+sQQPute%;jw8VD!KA%IuApDsv(-TDrLU&B@{=d$dp19Oj~c-tjN-!ic)T
z-`3v%U=D^oqPTCm1K<_2#gS1^4h{}TBX|uYcVJA+YL=k`6BCj1B~y%yoClZjHC0tv
z<0b^od$-7w<Z%gNUP`jEwoXoO5JginDZfR3|9&1)0$O33tWHb&*1@3{=N}Ld;1J;L
z{j7SW(9FGm#e92=g?awG3wT%1r(#8%x1o`=vT|~EzjxvH3SVBPEF#>rQaeff=?I`d
z5k9$sD-+0!=4%wU_x1p1zs!88X7hT=wg8-q5-_Uv2AXSbZfYtT8<&`f_55@3=3Cr!
z#~I*aM#RbX(*G?p;3THh=0hHozru%R1b_Gb(^mRz!Jz^ToBy@i{PsiwNcT7EI<fs6
z=2>+T0cdP`I%k}BlT!Rc1OQLP`oE;*<>di}bj^-UJ7Aze{^HU~9l*;vi0bPD0qPXh
z_6C)6$U=!MWk6Cxo}nEuEf;|8+22dEvq_Vqu0l~-L_SbbP^3GB04Ac}LMqbD%}szW
zeI?P~-(M}R0*u2dEGoKR@EO$uTzU%<u=)A<t0!MyNdP}*Vc{LHBcL)cU<54R?!jO}
z*CQF1Xn*A7DkYX*20Yx{Ma6u>>ir`lA%GSrK;$TdI%kmSg&&i$Wi%}^A|eb3L+CbW
z8*|+EC015t%li5{K<ehlQ|jPZCvs@0odE$HCUpqCFDq7IzPX%j0o3P%>xFkg+4lr}
zSUBXe>W3<HVSr&)QNgL+>yuj<KGr1B{0cCc0nc-dEEnr+=jT%~6ELx`fQCbUHDWM$
zHh?e5iUv4(Hmk*VAaeR7i#m|b;bJ}5^?tj(CBn|q47z=IXk~0XqZW~x`m{YxVm4DA
z(xbs)o#U|Doo3D)5SLJ0uHP%RtVRkD(qv?EOp4T{wR6_Y|1b!VVh)Xyjdy$qwCFzG
zw*HdADlhi(yAC4a9hoJGd4WRbh0kN&B@fq1|L)<GT^6v$(Kbztm%n%MVKb95kW^J@
z&8bbMT4ZKSq`xOi-e|f^Q0s=57RGo^OmhG_mg+zB$-q_Zy^Z17`x-(`W_=!Z_fPCf
zl{MZ4o19{nAL%)1yS~~L5|SU=t8SR`&YW`8M2|qAQvW#9LFkt)u3XNBVD%xX?t#!0
z=F90`%I*g29f~VyJ$PsCUI4zTxv{ItCpf+^T0D31d%jXSR}zgZSuxH1>(JSuC@MX2
zz=_m+plS=HupI6p_m7z956o;YtaP)sS39&~Xvj#Zmgi$rc7s*gJ9{O2JH_)k|AK&g
ze?^EydDL0?8R#A5+6W=<#m5s%Ez+DUbI9m|^@+u3YfEw9zk=9P?S0G}+!-$pC-P)g
zhcj<a>q~7)8?7dXypRt}S)0;POTK^Gu&<9JX^$W$U)tM#(!hhhXx{X8m=R05trRTN
z9pagPf(4-)E-tpN7sx1zXD@l~FqYh&K^qG}Cy(Dtd++zSu|ij22~h9?wfH#eu1B$E
zF8P`&2U1So>~$oWzs1JZeFK<I-ho8Fd{(ev$A}*!0mQYE%`=2N_1)^R1)xB=%e$My
zzFIuqP9!`IXRo<rdh3q0bj}QEuQe2DXZOa^MQAAOghTkyUujM$-v1}KI70M)fs22v
z4Y<A^X~fUC`en~ndztQ|<7{D+8A028FkiFw*G>adm4fh>g;XZa-K^OdD)#^0VjjBx
zQq^u#-6=F99xGPm`&?*(351j1nDe^ys<DopHjxAdWsYpl-SJFGMMDi^sjuJs^qiQC
zhVA8AM;w*%Ve7_Z0he?<pZCSCP{Hoc_!Lg-k{8{&Bq6CPd_qX@^hxD+GGckq($8qR
zBmB1ipvyy|+sR9NUyD^Gkqw=^wV2c^<2_RCOFpi1c1Pi=U0v_xGN1UCC)MCW!L9x=
zU#i*h6wzx<p*g6p*Kj(Ltg$KuUpCoc9UR#tl(DNg)*m)LLC%?%mh<g8^c&&J|K^Y3
zKgQ*GtsY53B30*lZcE!*9mcS)qjz~`X;lFv=f%R4*SQWY+A)xkY(jLOFb?&vx=ukL
zJh@OwySLoN3-#DLC(5wB$nm&k?OvUJ4xkJ;d1pK(*ECmgwx3k=o1YhD;6cHnxii!#
z$Z-rN_tID33i+d_3WK=bq`{+?0Fg>k^R*FGv+l~uRjOmNm<j$e)%`>In-70zZ6g+R
zQaZX+<X;q45<IQCb0G^y*%1t+|AX?z_zSe}8)a%LCOZkC&=@Qo1kk(HZbEhLtC;g|
zu*y$H!z1z24jRr|H7LqGmdm{0wX~9G`PN6PLs)MA;PZ+ZGuI9}_iAfhovh0%w4<l}
z{vL1aR*%WC)M@;;*ws=y`~Ge4*ON%5&>Y;AcR!a8SsVgY#$iDQ@K!E3Bo{hqE0FL(
z({qTok6O>I>G;K6CRlla;qx)T;61wwh1<L>ns9A$fs`;eCXXH#IqJa3-WW8`#9bg=
zxil@Z9^Kn-;&QgkiI)n)t4-`4IX1;J#Qzuj4D%$+UqJt8+1EGlElYNG_H<2EBR=-B
z0VUrW$t<y_`Ii+R?`qZ}Z<A3$rI_merpGgTAuhal)TLKyA|Ql+&wBs6YQpX=*w#DN
zbMr2JM1FMos})yGjiEiChV$Pc03f4OZz;TpiZwm-FB<i#X-tNl|EV0JtDjs+drsVt
z@(;<@-oJ6MgbTrgzWu-Qu;}yQZvHzDi@S!nbg82O4ISMN?=SpOc6J5yfxOM?xr?j+
zr0A8I75M)+cAqBx=}5V1;w}DHM+#Wsf8j`BVEf;4q+H5x*y112w;1;g>PB#SEBJHC
z_LjnPxWIuOyZGQI@c;?Q@-sH8r%*2=D%3=tr7URdNL|IY{$w(fa%Me2cWidim&nQ*
zhR*uGwvv-DX`~iB^)JR;|DpJCVEwK5Y2@$<zI(UQ_#n89AL@Am{q;Gu_8jFu=L3M(
z|2ZGPV4Owpk9F)im0vFM=6c`-D(X87rOli#8eDF7H0Jx|56ie!sPrFD=5)!QN`FG6
zrtX5yY-dsr`3}B~$}R_-r?PsmHP!m(tw_oZ4QqQMlJ2uf*5po@0wcIXN*2mZT2H)h
z2-R3@ji+hn@k|{J0vVTVF1bgSVSpSQql)Fy&=0G1PoY<Jn3h1UOCtIAz#t)%uwb+n
zbUIQ<2vd_~;~^sfl#b}67d-5l$Z|!4mv&3+@N_C*ddoXwgyRlje;FGd9Uf)S(@G&z
zJ1zg2fd238+7$zP5yE}P3IYk~e>9J0m%4WujbX_Q+5zuAt<`SQ&0opBDYSH7tga>_
zYIgor{c)uarW95Zt&;)QaUuK}w%6PSAb*M(q=n>Z(pxWlEJVQs>EL{Qp~20u><g!}
z<#qb1*SP<RP-yU3B-8OFfuS8Q2FTYsa^fa9Y0%tAGln-MXm8{&i@<~oiI&GqgLx00
zC^nhDZKGPlC>4o^JLMr>`jg>ZC_ypyeQv1y?Z_ndTN>FI?zL3n--8LFjcGB%OH{P7
zbs_08Ko>TRFQSUVksQYQ2!w(_0^y4GN357OiI6giHJkEyHCfh|0LEyd(>HOZ_UbH8
zUw<!`V|Fb@fW#1nb8OG)Sm&nT_ZoD-7M=h4V@rPpnfb1MKues-GEu-6M%=mS*NPSu
z(+R9~=3X9iQbgx`5iE*Do9RQt`zlsLZscV3(eX`j%Zh`s=s5qVUL3i7+v><7izqH`
z-#2wm<%)h0YH}9i2RA+pU?y)km``KN+DL?^_C_o2-MR()rC%U5vbD$A<^QUiT%uEP
z@)XvVSWdu59imwEj;P6()K*WHrf_CHAWl5oD57zT9ayE@PP}52F*Q|ZUKbVCYl3A0
zpW-?0?^i)AcHM|EKn6UhhAf1;1IeP;RN2n3F~3_Sd&Yvj*|BoiXGl!!+$iGWl0u1*
zap2RdZF#?8mhIHX=NiucqQlwy=@nF^J{RKg^ym@&t?I+}o<L)AeRWmU`Nc)|?Vt$K
z>ngSvASWj$fPn^Ov6bXh1}iGeQzIIhnDlMhq4X!h7+P9WQSHD0gMxwZ3BW9GDvzV0
zMk!)Vi3rNnEIK<o8_s9XS++8^0(2Q34^PHN+^`vSHSC_oH5Js<%~x7qo)>+LnN{D%
z>wd#xmQnsi-@|MY2iTUCFT!v;n#FjH9u5gSM@6D8^DtV5e>G!B!z6vC$K7h}7RO<~
zHMIE%h17TFC`oY8Yw~RD7u?*g0X2cTxja=4eyk7d#Mqe3k{-|;c!l^<eIUC7hFE!q
zxYW0xaBpM7fFyS8x_4!+&h*3blDPp8T3$RGEYuIo)_BV~8g6a0m8EMwGcEk_75L)~
zGKpL8#=`6@AeWgy92)BG-aN`HpUp|}_E?s=vyoVuPc-w$c#}dvgYN1$HS_dBV`g9>
z7Lt#gQqEyviRLasAB{N82nSk;{ES=Kq&XJe7TE2D{LKI~W(E%eU0=6r_E>X(yR!%k
zV7@5<ayZ~Y)c=+`>(ADsq|9L$xu_gj<aiwr-Jwykg&4sYAM`;K528XH)ANx$TP|Pb
z<95^13j2@FaeA?AIoAhVd{p>eZ5Q2$!OiENjRVQaBK!5qA<Cy5_^AH6scNUM5&h&u
zjTeEr&N`KIVfRm@Hz1HZGuZP0JP#H#cg5aYYOJk18#Mjo=jW%Zt9!07RS_I3MUZX9
zak_x|LOnI5mO;NK5AAgbFxMHVv!Mmwjw*CJjA{7ZzI_`?z$G;LI-o3`DW_05cBb@R
zM$SrLRJ~NISwmA>ijSI>w#DfHk4O2!qVp&>M7DOH!#zn{WZUH}k84%<_@IkCP-Fwy
zk2%l+kr`VLo8_2Py>fPD=BUF~f3w?jT;!g?9Z_u7kpk9(Pov7AgglE&OX{A0kVvcE
z&M$=uV^HTLR)317_tICSKIgnC7@q^&)s?krY-eYupzw-ExtsfkBi7yLXhaZEc9poH
zhI1~m@(+swa)05gSApGl2e2F?Aq)qiQ_<OVeR3LUx(a0%OBI)UGf<g}Hw(I%U*5~c
zIsr*D8*w?f*RqbAN~uF+S$M@lzA{m&)-ai@KNOYcww19&(R~}L1`Y6)e^5J<4@`s{
z@g0tH-XI2D%obrQD!+-)+solbAxR7acJh)V>P3!vw`93W5$yrclnAkm(wj{wpu(2L
z`w><x<@t1|OHEcSWT}tEcW+Dg{oQ1?=ExhBn59bE7EzWm<|AuT%mAU&XdI^beWrqv
zp%2-Y!3m@qBbap?_zb{=YmL(d>oEk0_u-S3$dSPxTie+K!5mqycI83WD%k{`3fv_s
z%0EtD8PN(4dbQv~`{JU=zlz0kQc6_rp^<Ok$A?j2%U$?msky2evd0SPF#4m)FEGB7
zBMZ&?cu=YyE2Nye<3XzJUAgliwOzg%FXOWwGDW0tXCjQgsW?fjk`5<#c1*UBL%k&R
zn`&N{h)HmHP`<)BB96G$Q%eM${%%;YIB$L$HjX@nr**&a?(y=u?5B7atG)5-oR|<#
zWaAw?^+so0<}#m6s?_Iw30-GDP?K9zle8&}-Yzsa6LOo*V|!0q_@b-6K7p3j{;Kxu
zZbRXcOy=tf_wGxG>*Tsz4jSyk*1J_IA%K@i;K^=eDLO>`Rs}>)HEBo9DLYwQi|ehL
zlq_&>d?GETpv{lA)gV7WTHtFhuO}=Bg)n;V7nIqB1jl-PYc!mwtdr+Ufz+BGeHVc8
z!>JeSV$l+ChK=3FkYOuMGc%x22RYFDqIXy-K5U_u)4fDNO|Y$LXUNlL<5L$@1rHxo
zqCL8}?gbAbxpN$&gTkDEnXOkyJw(U$YyIUkJTTyn!9e)nxw`}KGg#?hwl4<V@%8#j
zi|@Zb+TZjgJPzMwMOKG;-I%SN9$@)cW>^hh#W`2&K+anHxR&d#_*NQ8?$!*JVvv|M
zwOj9tik9hQbB*iSsOs5u7oZ-oC7N!G*Fy&KIBW2KKEJz6ofE8a(CNLtzLilpCT_;H
z_Dm{uZKBi8e#0Y8r<P5p)LCds!2#a&`c@d#1S;x;oBn89Wn3NNkn<SAOw1e3(xs&A
z$dHkc{$bho@~r#_ESrlwZkwL&H6qK!3w;zM?kF~sQFb@i@}8->Z(hPbHAH4snJkza
z9KVz1<wwA9aeizdIbbfayy%C8rYcov-g$7?$0c&_4CEtSMVL#%_!xVRLtef44*zK$
zP&a8+EesBriPVG!zX*vE#iq+8IWp9~Vwq(Bxz1%SbVXxds*Mnf`gXv>hi!3oC{B=@
zr}|FmiS&UWm2IouqqcXGm+#w0_Ewwo^W};cmJi9QFVb5r7OoEF;Q6jB8?Me4ry?MC
zXYT_oJc{w839nuDQqTBHEeI^Usn*b_Z^`P<>U*{w<h_JNPapY0evBR}emzBn^d!gM
zUDrOu+F32DPhiCOz(3l4A_rP;UP!+Nvfe7E*zYWkYsUmV-qM91u^|b^uZjTEg#@;1
zFRpaV!uOpH_8D}A%vRNR84Cl<V;#E*ONh3Obk`^BH<Sl!2^(TmPV`i$R9$xO=G?^H
z_Fa;2-L9Mz%(^(2@0Yze!^GeDDqNIP)Nsk$rTX%TjW)K<Gu_SjB@%KIxrk*6QMCk%
zc(~tL4c*+77%D%0oqtf#+h5`uXK?#bzK)9j%NHK$Qz0;PQTkOhyL)G!jU!TzT{1o+
zS06fYR+vaMPVC@RjUnyG#CUs{#Obsj)_FrwLoCzn{Awrkkk=L8!+p@tBN4r~VJ5>v
zcp9w?bBWy}bJ}I=DspKKfw=1;zS@QSv8&2ujCVqRtwVO2ogZPxDT%3Yrl!>D2WdK?
zB?f=pR9yFR)he-X-C@Zka?Yc#wJYvA0<pdqAN;<PA`7=FNbLYvnKE>4Nl>E{_;NGe
zZ9aO>@xB($8NKES{q)mZ*VK1cOdPK|DGyjz$Z?I7-W<uLzvTWgwBWGP;WG&yFvjpI
zPF@rK;wz!;+9DL6`XJF^b8@a%>j3AFTw~ELgAK=zP_EI;t)9T)it0p`SI~5SV+({Z
zjq>H{<M79|_2u1=_ZTo@?6*DpebF3Km~)BGv|V!;IYE|M7whU$TbNmRRlU(01!hp)
zP0ugN3Y5;Kvt?&GscethN_wo%OC%sn^-q0aeKC%tU!9i7ig~~8^gb>Qz&m4wArfb~
z4*zPx@#%M;)Bf}eFCi?YWkrx6U>%2>8<a%=0<93NBqY9+(f5G$Mz>;h@A<gbAifu)
zO%0eMe!k+pw!K+(e>9#TcVS!xYbn1G*5GxZl+*Wqhu_Q4@+oy^V>3rQtBc#Syda#}
zJ^e?Uv1t}QaaKfD7g>|alxPb6YpO}hg?4yCbPyP5dVMO#EggjF4hYGT1fVnGH+l9d
z^nQn3Z$Q>)g6=nW1w{$RqCV2I+N?;IH$1Req#j<!h#J)m*Kz0<+d0FBsx&=GiOCuY
zYTY;6yKRMP5enUg;BE#!_c4a!QXtS~Jo@DDSyOZC#xU>-n;nJdb(;_Zv0)E{11W@b
znpr738JKxvowIbU+8MO+>=_XqeGn?>+mrl(zPWL?44DRREYF#_Gn^HR-e~ce6H?6n
zJd5)=>uY`lU1Xl#l(W!%H9pARfqD1ZR;H8o(r9Y6!Hlv;g0wKsV3*rUL?)LqTp5Pm
z)yw*?-{Kl{oL0PdD1(Siu<p&b!6Enx-_i9P@d?qnase|8=Bj(FE^#mG<%|y$)?Ex-
zBByJp7~`%*GKJ-Lp$7SWGXSSA%Au%C21eA#z7Y*EDD(5TeCdy>X#GK85HAYu6c5iE
zcc1`I1;+AOEY{E6OL`Qwh|sbMN^zbgxPkssCOb334Gc-<!*Lb0kXp6nlzh1akpbI?
zQ%E&+bc}T>OnjJ-j!=adg+Og}a~1g4?;YsTTr?ndnxV`ecNr?cns0E`u<oMksr8qd
zB)flae~ovWM?WB*`%%@Mrau<R^o0_Iev>Yk!@1AfZqr*y&w>S7;}DYIZOLYHQSU82
zAipk`s>oa+xzDpuT|F@YuI}4uCfBadb@Tumfe(e(Jw-w#`|?db-M*31dW6K#b%HMv
z>e!6#w=$}N@LB?6Gl}04`-%Xo-0<za`_3m3BfXl*$;@D%_A?DTVZzr12lTq<Q;s{z
zG_5#?gPEIyp9Q{o{isr(cNiTQD6n?Oa3>{8Z)wEi?`v!O)~)9l{z0xJB1#ON93CYT
z2-qey{~0EF6XJlrcBY-b9uypWaYD`MtvkTm0x9hy56vwsT=<++RIYiYPK>}mI;-LV
zW$+D)mMjG%C9?{`1>Ou*q^ZM36XGq+k<I>qsn=goc3Ub&j`kZTXK`d{@4M~i{!s_+
zi&_`OozOEZM%QtXmT(Mhk{i^|nG+KeXVeR_QoQN$?%tn1aoyCQ)+F@TI)8-P>?Og=
zU-T&EtC6RUzS|*fEv`LtD~PIl1Mz+XsggEMbcMUTaDP}ItGw9JDZKcie}&qU_Oh)N
zMk4$B&RgIHRuD$odTx80^5iy^oj(ST=H5{Jd+ql^t2=3%N`DiC${B|E=T-+G{(Av!
zRpJ+ap#Sg75(H}Fdo{2;PeMXcSy2%;37<g~JpkC*)zsB%Re%^ktHnAX`wvAKh%w=D
zyHsEUU~qOrLxPab2hk895ZxosMo35q2qI~AJHNWJUZ}AIf>^>e>TEveD}Zr{OLN)W
zuWc^wzX%E%8X19+etXqxYUtqM0PVbHt7o#->B0U!@7+F=<9fCE3?)$Nk$M4{B)7M>
zG%<jBUO1F+yipjCVe#>`z6n&IY_?hb&YzwZ?hY8?0XKL76ne7W3nU7j!`$sxjsh=G
zqXsI;nG(&+Sa-m|4XB?A-*$F%075a-=R)XRz-YJ^-(x3O?CtG|xW9fnA_NY1@8}3k
zkrLz{1%CWksS@z^l|991>nTPLf*-%5X=!O`tXTHaJYU*wL0VUOmdMXBDlm}FXQpW<
zuN@^hrQQI=4;RUzJpi<45<<nT%J_=PqPUiWzohcS8-a936B7|u3u(P5Xmz7PF5nWU
z1)(vDi)3kcWpfYa1s?~<d{l_N+}a?=bIjNs(2#rYs&rpakqLCs09<b$iC6$3?12M{
z0pLLL^G#*+aNP$6-8oqdG$d((Dj{Bi3^Rc9MyOI{a;ut+^#lw207T^^KG<bP9iQv@
zo+H-ND!`tV1Ovs`E|?ZGV4HMVLT)}xdGStBU)D24P|)|YCSG$y>7S#=!Mt(fN#CVp
zS!k^Khz6_;yh^6RI7-7TrPJkEt|>n)XXo=qOKVwkxpCFfb*2KCmHpda)`!!}z8gs2
zMIkp(+m*=_!}C^DNF02v7BgG`yo&Nb@5QoUma1wYy3%m<SM7dmCI{0xy*vaDmtrFZ
zJ<6hC@gYgdd{=#j&EjB3e0@CcmmB;k75UXm^G&|pK$~-FtV>$t$~@VfcqT~dG_i_$
z`h)JVNnHnq>ATW#_xHY&B5?*Hn)C69G)U6%I7$;AZ&)0AE>OPLo{vp-;X}%wj5LH=
z&?jo`4%l_T`xHyXb6(bd!b*boH+#i;a^_BdaQsF!(md-IqS-e+ge`h{jY<qy@z7dA
zDpS6@L`ckW0M@lgHn32BE694|4+lTYzOaHbS(=zyoI$;_bvXzB#NB++v-zSW3C+u8
z?g2&HBA@W7w?=l&SNsR+2j<q@e!*xKNeNga5&~pmUmJDB*80+DC%N+v4(ntso$qPD
zC4Kc3_7f93oyJ!+UFx(f(})IyAX9kIinjPf@WtTh!0iL3qic*?WkeuWjR(YeXTF-;
zXH<gqVFgbliX2j}2o@~Ts~c)mqd%&LEZ_7rKRsI}n8PODd$c~RZ)O!VraUi>+l~F6
z`==y1J`%j4CM$tCBVg{R&h{HIXEWZ(%B<A4vybYFTB2^1rqyU7h?MK8Lfd9C)1VWk
z1wgbQMsMeU=8xb*1Ah`<blI;@v%!d0tNL6C)8tz0$rgYF#^wIVYjKL8aeXgDMCtT+
zBfL=htiZti$E6Rs#Qjh}U|+*EQt#m=Ro^^0`BgFzw|Un>EMm+SAG_C$l!Q{GX(H`|
zKZ?0^`gBC>76j;HyNWf3JC}yH`*7bN5Pwm~^<OSH#pmd#K8~2r?g=(A2B8sMw}Lc<
zfcxIIS<gR_IAm}feX(U>-Hxc_phE~D{kC`EhcjYA-Ij@h>)I57{VhByN`TcT02P>R
zSJdy(ZnR!=mPnvz@;X0s!}$Izc&px`S>v%D`yf<$y?#F-_d$G)A#2GPNgy?bZ3^oD
z)ME3g_c1Z0FRXy|@ZLL-1F?d8cQzHe%*h&4)YNG7DHp=TrY-7md47$C)#ylAy|)wi
z`K7_gDg#fiRnztPPINL7FWUai(v%%0ah3>gg~g%2xL;RcY=I9s+8^j=U2IfDR-!rm
z+O5trEzvJndNf>{X4!RHO;2zTUF;^3hDq61-QAglg<|dU!T0=Fk(Oca&4H*_p?=2s
z>1#b(0~gEomemUQ##-UH;Z}V6GlT6Nb?Hdd5JSNSM>4Gun<UQ<diq3!l?P3Mp-%~y
zZ$g7>m86&Bz+1WS@#So#5J`#V+v4%!Y^K^SHm_u5Bfd&VLekxbds$b=!&J&#EA3(y
zZ@cii9P07Lv){GlWA(P9sv{lw2{=ShfBvn4AklKg#$dbWrBt)Be{=*w|N3Z>IChXq
zO-3U_2s*#(0d)AV)7_P3|G+bz0P5?$1o`QWuJ^*-Yv*M1b+QWrv7DNsic;<;x$>xa
zHtUlmENn4qVY<YHkRRy$b+VyH(2La%sT?;7z`i6x1CWGO0VtofU^`Nz#d%ZPxv~oL
z^l3#MptrolnfO;Y3?MngXXyNE9Y2iG4wfs~m<?{_p0Y?_?JAI>E~1ehmSS4iRpdyC
zpIfK){jx1Su*9Lee@ls3>ruNeWFTgx>jFC{lBTdD9~53R<f0T<UwvVU`#kh*wW)sK
zp#hW<ga7B|?&h4F@h-<~d|IB}*9wpb@ZPET0~<UOZ<a5$?Db4_Dh*Ee8zj}1EWbHM
zukQnp+yGVqVKs*bY8k)VBNJ=MMbn}nw?l<;65|IKu(;fVrV_SjG+#RibvjysuE*8(
zlwQ3kNVjujj}v>Z^mbWFEFtS>W@k4B|8GcNUq(z}X2S1!d+hG*wU)>X(0Sj`7XJgM
zS7>#Htm9~>jjnuktzWs2Y#@L`aghp>8i<!4Hw4P3HiqarSqW}0aghK?bW=-f<t26^
z$gJVXD$igJ>dW(*X?X>OY1x!-{)rCTEB=_)%hX;B7SbtBTp8b{O5{Or{{npx?R!!V
zN~OGo8dz@a-zCL2>C%{TTsGq(#lyoDjKHg9QHp}1zQ9&ztI_-M!A_B7hD`VPA*aZk
z7Yv6Man%<>F)|vdL@oBWMMNc&arMN$aZac;Dkm4P#*BM!2Qj5-;~VLe_xwS1A>|mM
zL!LI|!oPmr4(;(t-abm8P++kEzXO7CxoW|$q1md4+8{OK+u`dPKIq7<XyGUiO~KbU
zE??WvQ{^psMiX@wxG!k!kCI;WVw&R>f=7yzYS|{N?u&F2yqlV$FbR2nmnm(n)d>tl
z)pxs(@u)kEExYUb##XBvPjlNZdVP~)@OhdUzXhXrdK`}1o4d=;pq|pNzUB0&xeu6#
z$h<RRfA5QPsQsg8pNyBIe?n$CXVBS}Cq}|)yg@5Trwc7n_{4hTd=k1HckOjXuLDh;
z*e^s2*{|W$3Ybm)fm%b$%g(Da390oRu({uz9ZvQrxC}bdv0lYIzi?4H*4AzO!4i7Z
zDd|6i?9NEureIE_HvAu2fYGAixMed}Km3JRZRt+$`E0w@e%L3vJTG(Q{5oIX%vbU}
zp~aT@PVq@3G21eZq%o%=(Ocp#11b$HNaAa{!OO_~V-;iBUvdQK=*a{I3ps@;h#AbR
zWi|N0^FN6j`pK(5qzVq0)~%sqBAe2-OJdfk3}l8g_(c>~=K<`Wc~1fnqPVD~8&0`z
zF3Sym0;%>bVPt5b8Yz+Sz^p&BSW86yCTlh$Z7}qs%O1r&Yorq&-j#r>1;3OaEV$O@
z^z^D`qeVd>P>YI=PhBHAI!V6Ne0|r#d`yo1`RBr;E%)dIji37-%`|lge$-}<K7$d$
z6{Kb^mr1to4L79o<D=`cf7JRs!wPS{qbcp8A&5gz4Zfo?-X5L8B*3b+xP(NOE>3VN
z@U&Wokd9hWN{*V+J36zu5q_|GIMD2`MIhcR=nmM~M5dA^g7<;a;V!n{iEH2gSf!&g
zM23L{sB2pN?OC=h;5k+o2Z)(^q~nv^ZVsW$8UXMxosLG7jk$AhRb8=R|BZpv$B>4G
z87ixxZ37F;8u{qp*(-T}`-22K;JGY*s!AzX`zw)IW2%x_(RVPq=Yx|gT|e~XtN$sU
ztM}_Y&Zdlf3s(M*)OzoR0Uz!uuEs(RH}J$OsnaMCI*q3!ZFYNA&g`tKJ1EFe61l8=
zYQ8J69qmrOP>U^IlW(k}J<0|I(N9AZ7KpyaK$0PbOawLIk=od~G30$r&hD!3ak%yE
zA&q<<npD=>2aY-E`kz)3om;Y;C_rDIbSPg}r;|PZ4D??(l{@Hz5mAXhM2qFajmeoa
z;gp^aQoKUUju`2sf%8dkaVF>g`9U;ZLWnM1gH~DJ*#_8*_>eq9OBUI!=V8{boUb64
ze-6;Mw6R#vpY?k!H3s@uJprH9hMn0d4L~_W!~p#QJnkdCYc2k40odpF<2N}0+|F8`
z4UlZe%gF<#>qw<a4EZdg#b~C#R+ag@q^H>KU1u?m(frRslglMTMD_f$u}sf7d8P
z+dv3*R8o?}5h0-XN=j1m-+o`O@wn0s>*{j~_(>X_k4kuHsaaTl>+ZC42)LY>8C*Ed
za$8z>fe;m~QyOaO`-g`qn(^^*{`4@dQ@8W&bY9n1K+*=diXl7=fODm;uIgUl<0~{m
z?ld;qpx*V1?QsE~8(_lH&CSg@jQMg)b9}t&pmey%D_mSrx*H%q=h?GoyD`0?L^G3<
zW8$7yhf6L^vHJDm;^J7CnA=O4K%*lu@vTBW=vY?FO=#CJ{`<O#fD59GSWIYfadATx
zFeD040oK@NQfCMn)>O0L;(=2lBIG(53iahv#CI3NfZWUCq9QeFprhi~P3q!GsGvE=
zX2h5O*?cmqIX|C*jjdL*(Mf`=T482t3aG{4;NS{ECr0}Ff#k{4<1~B~Akz}CZUgTG
zBy0ljWWAhHP<VfTe}3+OVk#{r28;&zEoa0~k(30akHNQYing}4B`M^J%1*%?wo@Bk
zlUbV7Z=f3+uZ}gNZ~`N!2r~K$*s190WjxM3!BenuB>{prum#?)=h1*VQ!e%r2rlaA
z;K#c%p`;n4DF%mKW?i#;$cCix`UvR&<<#z<QCAuo66@NGRHMNP+)noDNPi2p5M4^P
zAJlBUKvyM3S+$CF_iV3ObK)bLv10<*u8BG5dB@qs;x0RxLNf=mQ8la5_Uy)9qr77`
znW2Q-;QdE0FE8NB11$fPH!6v&mh&~1;w)tm5tuanfNxJ`+xat4ZnCl}b@u6%&sUop
zTUr8jo}64n&4&882(Li)21TOU!rA%a%cP7ds<*{m37Yb8Vup%NqdC5(2IsEcZ}|yW
zf-vDidw71Sy2sus48JAMVkOn}cZ_-p6)SeFWmQYWp16+vAR^@9vr_FvR`~w${z54~
zZDR690AG7#kwo0;{#H0@{O4<|h32n*@69nsi8vh|J?%WR<18)qATGyQrrOWdTCXdw
z`&Wl!?X-rBy5d}?Q=SntI-FK-*1D@H<fI^S#1|RTDKC1ibl`f!4J!w5H0eJL*9Ex~
z=U8vf+qPxR$v3E1en$Hyt^Aw%&Py-w{Hn7a%HXS7F&@bzf1uS@R&fnE;ybW$(m2<c
z-^;8GB5I^8O4487BwDeWJEuOJ49&edm~UJG!nxXG*!lA)9<Osyt{f~6f;j*nC#R{Q
zMsBR)pniNe9xPyq3jj5V)-uOViu&|=?;gs?A}LlTqvv?<D(IQnO?u|wdec0Y?k!#$
zin7&?@?JxCirHxCjyKyXVg4}lkk>(-C9O?n-SysH!K^ck?y*JeOwL2U)W3{*(Gsan
zEGKxQ^BWwjYquoSx!-l^B<87~@gywVAwze_u~?n0tn>#dGf=5h$_*BL%WpAOpHAFp
zhvUY#AL@Vnu&wqRchG+TX4iPOeo0Q*gt*uJw|0gK@;%kJ@5rFG<!6P1`!~sgxiQ7{
zvW1(a1OI4f)I9AsKpR5PJ5acW`CQEcQknJa`=a42r8u@UTX-F8J<#_1OTx~M7-MAq
zXZckl6kX3zrug<RNBYcvkB!f3reuF*jfezKox*CMdvK?Z>w2#x;SS5j-FSF=B)`s+
z_}-C;0Ef1{eW|{~O*a&x+e+}C9SO*wH|~GbK``12-d;#!#Av|5Kkt3IBRCtmg4`^{
z&=Hm#q(QW4#l?q-&xLQ@=&OI)HacC-HU~}eGoQ0GF1+MkEG}1n;WG81LI8nSQQ$mf
zZi2ReO~WQ~^vwhFcw~UOq(<X@7j$n1&0)c66JxC0KDMpovj_a;2@AX?eA?7+!k0j6
z<yWfl9QjkzcI>3GYwK&wd`!Rv7FQ$oD>u`JIR4A2Yb`Y^QvNHu?m*iUUwS^$o!1de
zVt9!&7-M@CyIN9f*#v<-Rcv{`cv}qnV|^a>lU+-ZsYq9E{x-JLg0xCm7IL+4Yi!4f
zNa&i9Qb()HnE9{7#qluASj03{H8i9c-HWKT_9Ch2O66>qiidCzDA4)i+S7*7w3&iX
zfs))C8s?JdKO}$<fJBtSQ{^=Z84KGHe~1hT`pz@`%%mFV<H>ZFJ>3qk-#E|Ea412*
zQbx|(^WJp9Erd!_1v}Ki4TM?&ZtzYX#k&J~og{t|%e2YMEy4|qE~6WdBm(c%l~Pyc
z922W<SF(xj?5T(rCBxb$p8YwkO(r>wI@zr7L$tN352cz5x|#K(9G9{k2kGAAUrk1K
z!1K}aC5=8=+<q9HabTG4wa|2=S1vt@vJDBU)mBTR4ykkBRxoJxC-_6hKSP7Rb_Nju
z62bd}HLHv6Ek|;$p#}{}yA-;gChT7yLh{jiiEw7Jbs)dyd>UO7S&ew=FO>VH?Kxaw
zoh?%#84HxMTg6!E9PIp*E|ywrOA|ln43B>t&T&rFWT$6DY(gMc>bUX(QwyHFykka-
zN#zSYN2rAD8nt$2d_?kwqH6Awe#v_sBFoX4?&-YG|9->{n`^thgh;fl<(Q_ZI}E`8
zTdQ7XFjG>WS(}f}kD$NJahc?0FmrpNMb}%3MH;IlT|aqmT++5UZrv41Z2kttPNr~B
zAw#&;^G>9)#9n=yg?FsOee$sI?xr$k|F%H-Oc1??@r1B$V|yg}8NJ9K_5}2mjo?b-
zM5Tp)Vw?3!>0nV=!lKc;a1=#DE(I_4wkRXqQtxQ4q&PWcURhuwUKbp1-SWoyyj<;c
zHZf$SHood^yp9O0k7Y-R7uMnz8QWS*ik*UaEGo_w5_w|!NTF((my#z_v2>!$d%zSg
zA)C3f7>vQJapK4_lhc8LEAt@p**28U7hOPbr5L6%>Q#JH46yvjQHZ%Xm9iVtqw{+`
zT*UT}LVjt`3M1rOQ_k<xaB_0e(uSDn*wrt#w|{23c|V>m@WZ4I43Nh35g%MGb`>u?
zz>p>Ny^Tb1v0$-Mu!v`Uh~wS{e6%Jx1Dv9Aab#%zs~gnJUlwq3C_y@>YRj3Z#D`LQ
zgxPgD2>JBfQ*OKh6rOb6(F(I;cd=FFA6=!RF=sls#yaj`XWT91N84Ib5I~Q~IzY4_
z_$9EwSJevEmX*nriit!}Q&DB&ePRL-gFCPG(t99oT8{xm85oKQOix*QAK4G&eDAz4
z0@6s*Z2*%mqThFaD#B1>1A}v|2w-juFdowNRFP5<z-o75o|cxD^72^8%Hm`b!0Ios
z4@{oieqp4i*Rk1>;SRWjhv`J05;lMwh+ySHAUXqZ3w!CDJ_B8w`~wksG1A|l{KkfV
zPA}lkzkqSY`r9eOO-DyZMFk@s09%KEd7aA2wcYRE1Of_v(TI^8WZ(b+;JzCJF!{H)
zuE0!dWdGDu?K6{IBVT@9VDxIUECTTF!2hD*d-+{NN-Cy*n_4Fy=m+EsQ!!!u`t?gp
zTzrRgd2mqNV?R-W5=i_bM)>Z}2J9YC-aCpL8Ic{dM*}J!iLF696(HdxIa!kK=JN7#
zcfCU-LPAU|Bi5ZT6uQ2iX+;5qjspgVSa%@G@S@!MN&Hk&LLw<Sd5Q)Y)dFC!Bhnkd
zM+<D9M_2>#=BB1E|Kc9cQ>m(yjFw;GH(s+EY6I&hlhp;lh!$Snmha|*Q_<x`a^A+H
zsgJ*^gui^TAysUU^iyb_ihB+mOyP_eFz<$ff`Xas>{aZ-w4(Mt-*xVrKw#`mKtMS&
zmEp?d?g?4BRdHWmXQx2(7LO;i{1a_aRtkf?DMjp{<w8xd>*@O1n#rQRU@%8yx`Uls
znpKn6Q;Tmpi5@N(VQ64rV18arGY{}K1Q(`)zlL->qlT!Rs0U`JrxTNr<@oF8bmc|c
z6Yv+6=Gi+tE2r)sA77(}w*=ZsatF7~S~xX29jH+QrwRZnfod_mNzJd!T08o(arJ5w
z*@~xlLtRA$h+3~vsi>^{4Va_v3r@`i{EPi4UxRqX0H!*I#zcO|ImeYSmomfAJS{vw
zR&O!9fC|YrT|gkl2+KFDaSI>wr(K?FAoF52Mx0o-UD?RqB&~lzVVweBJ^$e1;io4N
zGM|L1K)j2RWuh!xoQ{f%1t9KI1|>-IBF*virpdqLS-67c>!|r`1G5sdw63@v|Ho>4
z`2t9gSZR$^i>PCf@K&mV=BBu?NS#sfLB9|ILejh$Jm)}9+pmR$7uwl&AK9(t?IO)|
z`iEX1n7*-l=_8!Ektiyru`ACK^t?xc?HJ3f@v64zW0dAZS)Kx=`I#PG_Irwn+?LPB
zx2=Jx_z-srXm=~9XR`7Vd3!cHvXrKEGct|wLZPqUz;q84_8)K$U`?n0E&u%lW!d=I
zaKAD6KA^3Auu}<C`1M(8&Tp-XOy>U+{8j=?&-mZLZ(}GDkNfARr7;h<DKno6(0lCh
z%D!H;u)r4SAY=XkJjY5nBNNhO7Ke+AJu!-32voTB`)gk6UyyV>0du$$7&6E2?6oUL
zUH=Oiezv;iYnghb+2C~0zrqwLX&O+@=-9hq+PZP2=5}IX1MhRn)wnhKU^;;RBkoLl
zzVqxajLd6eI6A#Z53Im^>Tcv8@$y(hTCXiQ{$D9hFgE`iC*F%q_wtMBWB}F-A(T0x
ziik&_{i(m+pz{%{Q9UP_7uV-v`3?#u-eTu>!eV_$!kK=Ejbs~(9Y&gB`yb+!l-5rs
z&8Xqd&{8h2)cU=z@nv!_g<?EB@{^sM^c|EKT~T@zpZD%#t@qLPg5gSEJFgHs{}<V=
zlQO#*-Au0dRp5ty1>tkb?C`kW4#~MTmwNWi8D;<x1bRv}Y7)1xaV|O5n$2`pd56aa
z{9G8)(g!WkS9XH>R?7#r^=LCrx+K0b59<e=TrVUw?3pQfPIf~$9$<g?e_?y)8%FIi
z+DFUNs&O}yIXNp&<$s<~XE2v!n4XUi{(k6#PTz_Z8C}6=jo4ftg!t#gzCXX8ow+*U
z(_2HQx`wvLrq&zaXc}a%a`ry{R<{^+N4(_mFK$eTNOZS^&UpB=aBGRY2VSI)#r1sT
zk!DR*&~~VNO26S!#ish#7m;|p28+W6q#FZqI{xj``aQZgVWoU8{@nDh$w`iFYI}AO
zPYY7bV+x2}NB2!j>GefT8Ze1{f5Xxus!N-PPi#nUQ&UJ<)mkpbs=I#0JUrWwt{Kw6
zusT@^p3M5WaD@f#RIcwTQm-OUekYDfr*2C?gq09+b^hoRWn4=(EojV&wyp21Zcnm1
zYjFiV(~2flb|#S4y*=OeM*qJT%rqTxjxKCbgoCXQb9q}F&tyA>vn>Zk4|wB+-x=<<
zTSCX9^k1TtCUJRj9rn{L1zuV6sos;N=hz~G{`3IQzI7WBNAs6_WuQ$#-^%^a%x@<o
zs$ZG5^M6FN7v&vl&BB)7UEh#c+WMleRX;gNX+O)s6%p7CIC8BevR9e(I7sO}K>vrd
zrsH3vHPBs*l7bm6sEdagi_r<2<yU|+HeaA=14dJ5Nxk#c{aNH`cRMzfC5GEk+}fZ(
z({K~K^p;8+FBjA%{)dHsBJVprrF=cJG!Wz+21D$Ni#&gS%+k3Hpg!!csPVO?ecZlb
zb;ql70(V#YC@AqQlYBdU-;(xW3_Ujay=t@RP-7HC5k5;fy^tmCE+$A)E8uLYjpZSH
z0GrD9<P&XqKAC@Qp7=S1UE|Kz=j{{5$afd-ySlb>p{GY+wdgosQG&oi;4$o&LS$rR
z2}mrXLr~!bC|~nS9H|l)VqsgTv!9Rgw^U2dv<Q&9^U&3GCiY;DvH#;7Yb6Op34O)r
z(de+%d?90anqnGg?N-WB&RnKy>GE4;bI97(FkpM>)A+LD8KtkyM9Nu>grj~Qi$}dv
zi_o|`+}y_k^01S$R(hNv>|!Umuhvs-;p!F1-vtiu*&BNYDNZSU!^9ShhDsYp0+m7d
zy;V&SD(5$&^;y>TnTLxl_IJ14NQt>AbrD!6UyDO??DNmNyB=qf!Gr}CE1KU>34!hl
z(d2)r2$U6I3~jqM1#;iBOh@$C;;$o}<Kj!xVK=pi)^?^5kG=$pa@bQg1exNGK~S;<
z1*f^6q$HKPdp3EsxpN<HBl6V;c^BT^Y_BvC?uswdCpRrR1VqL4()sU;c4E6CxW@?T
z0SB9SOC}~ohsUdXheZG_Au%q7*sqFC_Pl$)IlfMb$zUTvYW0c_O*kGi@tx}e1qk$8
zhww;|_a(ko%6Dr8A%COVCBRvls3oeMsKIzoVIc<2Uo6JWZQ0sT0!7jK?&kVaqOE<8
z)!SCCug~q52J#==C89}9Ph_#3N{~oAltWGp8F7K;!NH?vXHhZgg3<H%Ks{8Nlna5n
z-Vzp=oTaFpB`?hiqeH^p;>h`el*8o8U9;u^;Pfk?y?4nO@|00_+K(Tbjh$gSNu+Oc
zJ08;cfdn5jv}ab~n)Txxg7#ZIGz_SR%#Dj4IIUf27?@*7Q|GD{r#!BbQfj^&K9K0*
z#;t$RCP^}d>IA;l=CdK2u#WS5oT9P6+SKd23C{h*@n^NU?)?;{p~ka``CCKuul0;h
zLE%%TcB@C0s&GBcIUbRTF0a|u)Wf~1xRb|}vATUO%YW807QSJ3i<wZo)`S+PuwKU3
z{6EbXjQhtunDB8C>WAiP`Hb&pmS4<y1=5Ecd|UY(BD{vqe;VXFNhUaQA_(yB+M!cB
zxi4XxE^d7_xIal~(sLcRIlS&cuX_2&;$SK~VqWSKc3$l~vR7~RgyzTOiMQ39@&#cP
zCKQ9%>tQU|C+u#9n94e2fxe&Vm9EBMnsuy%)%9p5TPh6b9l+e)W6>w$k|p143DjkV
zPDS)W9G<rhXDx;HJcJP@hRKhAJEuu%x^Je@My=OZIahPJnOiF;+DLNMe5-7%?t{&<
zkNhLNF$1nhM7m#DrN&f0r3TE$j7r>vdds1Ha%N7KyT@W{J#;-RXo}0?j!h>laH(F>
zN#LT8*V6wk7fLs(b<cWKza}>V?g1B_e<$OCM^hGmJhMjso;Kxd-y$YS`{l9)@<zj#
z|4sA3E70{ja0&n6MZXc|fO;TapC3*RM~82z#c`?YrzOSUsC14~e}l3Ko|dfu3V0z#
zfXLUyiP2u0{V<-rTOej)WSv~Pib(v5a0#n7--8rO{3}gv>$$&zRmLlMicLvJluZ_#
ztpW^{OqC-m1-gQg0&~ea{9!mmf$a1A08@h<K;I)rp+??1pXGt+sQlhL(biF8Z{tpx
z?>)U)_4^-TCe=``AWXd5F@&OO*&pbDm;t6<#=BCTH1!yxhq>&zLUXxjz5k2OvIxYt
zc-a}i0U2tYI!~(nE#0iYI^|d$R3FN9RUYq~0Bo2TWvu@8+^s`dwp}vY^_sei(^$m<
z(I~hvlC)YLv_hk!aAibGM^~Dcmu64;d-&wKopy`i;O1#i5VC8cKw?6InrgG$1`vGs
z<vqrqVsB|l)1%cXTqG(rRoZRFOrTS_W=29>e1a8xd9V$H(APCp^s56t4Hp-V=8eXN
zhTZM$DwS7=g08Nd&2G#L46@7quZe*d18N>==u||%15gGm*VO>^0UceamJUEK145$R
z7=UjExO%M!ZJ_=EW;D^=0L2nFWH44XTP{8(M(BtTs7--r`$?J?FJ1su5>P7ve=(ZE
zlZhP%Y?Pn$(sPLaiwOes>~E#W>nWlO4qmt+TjD#?c?RUk{-!+vZv?`(`d7a<{-Dv{
zTBz4R#{rm|`Majo1m<?8bn8{$e?Z6pIt3qgsLKpYO!63vaw{q#AoQGYKC9c?c~;?K
z*}y!}^TY9uj_;$;LUo{2G+@L<QRXI;*3Z)c;wAt>y}1n#C(T-1x{0=UdwT~2^t*}j
zhOGatM}0O78C7LvF@W!gjcsOP!i}zf253CsP=3S=0Q68myGS&G`s2rU2y4wBS_=w(
zL2!Dm65W}Yn1CHW2etKnJeaxs!Mw|1M;f)qo*$xGYqbQ-dQzhXniQ+6t9o#o97fz3
z`2qdf?3UjfPCERM5Qts9QQoo+EiN{7V`5{+MnrT#S!5iiK2F<LxlB8ckzKH*@6D8+
z)k!Llw~A(QKJQOrwM@7LZ7q*3Gln7U7*f;Imq{kF(!>DW0WRmmu|{D{E&b!Jqsd?>
zokkma2KMY&x&RH0_Q->%hzJnFkp(T#=ykowYTwm!f4Fs|749(jnE(1EuCi!Z%l)bN
z1=~0e)aq?Nz#&Z6+e2$C7YfLqfZ&sJ4N+Xqvm9yH?2S~O;*R)pF`$FvGqtP(gh&7;
zoShd+?bT{5E(m{nCR{o1lT(t*C>w<@y1t|yz03&Ak)ppKOuWijWPF3o$!uWC`Wd0#
zd0xu<<Bx*czL7@ed1=b%fp*SP`9_?Ak~O)94a6FMD&MiTl$m&BGf8IIOvuHZ4>KG`
z0eVdKa*oKTpPA01BAVJVN$L!J-3&`X38L769OHrs&dZ>9gT?$9eX%L^D{x^kY~fhB
z7{ji}RJ6SZrS#k+=Z%l6hJJaTsG9)RliKylG>L@$c{AeqVjkR<@<X2E(NEv@z>010
zdP8ao+kEM%eW&*ZhdYfZdtjhgJ*<-?p^p|*?5~z!J^V5i9r-c16ur6CRrG%2cuSmv
z4iWBOib0}W8-zbF643aW{Nigd?c@OhRrOK%e?}=_$4>X-zFB&6@9D5Equ#?s2m?x`
zKK_mbobed`XXlX=z~!c@$|2Zs3l?td#qF_9q<7M93K}5(yM%v3gOR;BA6l&pwR?LV
z(xM3$g1<je5uhqRvQ(*j*lQekzSIz$#Mm+ON!`syAF{b8fNe<n80hSm^mN;W-BX47
z4D^RfZ6ea7V`nWFSlM5GpQ8Ax7hjzx$2|0fav>o2l(q5H8V!NnI%rCW!zE~N)tE^W
zWYcOiqU|JQuj5kwO1B?=?Zy85@1^^w9F-4Wn=C9JLdxA_cX)qLN8ai{2WfpUU=USG
zx%Iq+fC=3Qje8)?1krfqBS0K>D(XgyQ&)al=Mr8aRbQd!gF|GDz`KLCTx5qnKzQxl
zPX9%TkHcfT;9{27a<~Y<v^<i23^wE86KrP5#-4n0$-(IS8mX#@&TG;V%Vp;*fy4Zi
zei|pJKR*3~D0VM{^Svqxn|gQ!#YVL>wlv%0vzedQw{=9IIIBz*#i32nqT32w>jB1;
zsMAkwR(CG+|6h!~1yoh-zcso6MY^R!y1QGtyIZ=uL`oW@yFsKuK%{Ha-QC^YUEk98
z{h#liJI=Y|uHkSf3VZFn*V@l~=5NMdguFCxbPctpgXC8Y^=DND5tXM^?p<a(OWorj
zk32PgF48ld+bQOMD2r4pK@p~b<0TyY57X@NItaW&6G%C68IS+b0)RkgtwKo|`fOeu
zH<UahdJ-erExR4@MUg_H1G&95Ncwh-qS8Z~Sn!Dd0d@m5jm6RPjR&8~^;fAk@eO7z
zd_zP4HyH>F@ZV>Ki^#z}zqeS^lbRY&vnD5#`dWO+=%Ac4_N-0zcv<JxJN(Em8`FLg
z?i07%c5XbsmA{mD`zsb0`JkDu@SvszkmkkB?vStWd*3NT`|f3xso3h^lAZqNT5Wd!
z%&&3$n&Z%;(Ahj24@0cG#!RwRLDcAoa)9o14q|p~KWc-TRKpe-qqv(L%O~I-Hb?zS
z6bGUJIv83e_ba?}<GwVp0Q{+gpYH#;Km<NEEjRCeli`-Zlc}13PrJhB)1|*3<sEWu
zp*V@eX>FjQ&ka7^*tWRy63yHnV%i_#eDngIH7M^{Ps#9e&haPM<O|Rgv^RZv+F2r^
zovW0pUaI6EN(Wm6SwQA4lXeAhbO~o%yQS?AqoYYB)o6DAh<i;PgN1Fh!nLvD5@A7(
zR7DM{2u*LWEP?-p6FxBA4`jPsrJ4zsxz0T(0kqd->`lC>H2E^#R{V>hC7empGI7J?
z`A!G<9gWl#Y1YN$_m)1u!1mY>x7(|%zs|mI2SvHW52wEb#c7HOP-x?luWD-hm9oL3
zwXf|gMq}VUC|(zsST@M9TH-{u{Y<+EvM)o&_M#m{QeSxaZhkn~j%j5Kx_g!Ke9SSx
z#KIy~7>HX7-mI;yczV><(rN(s)*{uZ&f3~vzs3-LdOtSuVBu1qnN&tZ=#P^DL}aRL
zfp9`gL;VMhS)l_=VEtiaWNcUpI*_|~+czt%;Vq#NI2KwC1~5R@)G2DGZViP&{tvI{
zBy~w|s3kKVmpw%t9ht%>W_~s|B6lYzwD4{hLNX`9y`!HmItmKW`WLR(u@(8{4^ibX
zIZDf3@W9ZYd=&^DTsAT^6sp_ONlUe)u?QK_3lt_6ZUKVQKe4dKo$l?;O-+f?G65tk
zWsw5J8WCi{k4t-mKTA3wY{r%Z*bv~x_(x{&*Omm_9-JRNurq~oEP%XkM{<NtAjc-E
z^@2r7Lqj5t4AGvCFnVyiL?=(VSX0)VQUW@F7zJjEo=j?Hc6Jgk=zC#dA@fs7Wu+2B
z@}vV0<#_M)5+dW{?aeQQ^18aU$z}KH6R6+U9jM|44gtkK)VH1<LCY3U%*>IF_%D-t
zJy9@#>kJqn=Yim?be+Lb^U<tjuy=YEt&hk{pqOB>j<5)F9NF+RxkMzcsg2Fj1uF*!
z2Qjf<7Oh6ePyOfG+9!-KQA+uY@6VqL6tYJ?H8&R@Ci~J<)B>xm=j{n0AtAjWJRBUL
z-WD27{8(YPbVq)WWZZj0n@IO%MLYuA(8_Azf>l7^Wq-2pN;mQBXjcBHqWrKoiXb=h
z$#SxwcvKOlsWIp0#J8+cyX8h8(!A!0j*boi9zJ)s<X<#l>bvKNDdn77wcZ(0irk<e
zDf#(g3zlCapRb9C0_p2N)GQ@TaD{|_sR+k3`l+}#U=*FAm(Gu)Ek27jkeF7>*V;uZ
z1(zN3^8}~kswrK&o%BdXwqd{pm6;k+uJ)?xb?4s?zCY5K6#Ec(qJu=jY*j(PCni!@
z;t)qRov$aw<h>NXM8H}M?Z()sap<|V&xUy57+F%<q1-fuZ!cF0_trI(iL?Cs!SPcW
zDzG$fXy;+Oem@v!5J-GH$h+Lxa*xm&QkAA^h}%o)ek>c`Q&6T!wbhO1&tNTr#(b$S
z6d(0dE>753q6!BC_rH{MrkG_}e741ul%#iY*!SOuW$^~X%nBSQz;Yi?m04&L_<-?O
zIt{bV)&D7mZDhho6}4VkYCf@+11?w<0a}QZ31N2Pxvy=%-e~QOkVUKmnz3Ty%`AZe
zBhztzuLZvZbQrPP;n5@l0%^@MuROb+eIK?wO;Hl_@mmCy^@v;b3pKV=RE-+#pJDnC
z);BjVaj!i}ye9L@Ev?J6_We)*9&kB7WUjAE7P|Bpm{K98jL$Dg(yhAssSEW5@qXxe
zdqB=aZfKq0(Z0uY3!d4Vb~Xx%VmNDJS^HTot;oxX=V~LMK5z;$%r79seiYU~Vc!aZ
z)(-OTEp&?ad*cNhiT4|UpzJL|APR9=DP4tKhpphM<MWUWBZct56}%2-hPoC{$~hB2
zaExoJX)_pcMcmzAoNKMv1om}|t$oKa$HNbJaJ{TjOCVof5_nw8F05OrZ*EJTq<caY
zjKaA!{u~Lm{`k(ooK@=NIy?Hc(sOkKU4!$A*?+yGjS?Ee1E3U;G&9wM%}s#50@H0w
z^%;yM{SyOs)9wS6j--O-^<T^VfANggyhr|Y(CrJlqNn5hM5h=`P66Iwa(3eNBRS3b
zNSNU5liQw`$wTfie^`_CY}QW_RAH0-;s*2?ev{i(7hZPygNNd=&1BLll~G^Y<VM?t
z4){be6QaLEr@LRj=sjf#55hPxw~{QgDcjgi&zG-0)b3fTk_Zo&GdsRdIsJ}WPXEY%
zwlJ*4Q(UHGY8Qn@Y&vn8KAN;BKksQG<$j4}fR0@&!fBtqL)QG|N}PZU|E}vR(w`^j
z6WZ|@?G$sJG7?qs_)9@mU6s}m{P8P_osHQLNmkZ^cj;@~OH|{q@9xbqVe+DviP_vR
zM&jfWwKsykYx{8nX|CftGQ5Az^n+0rA&;*S8y2zXfG9b2w2>%;V8+T=`mEE}-{l|H
z_f;^3CG%0<^Yat@zGptEVyQ<5oO4|@gYsTrpXZNt$LfR-1ibFBN4Qh&pNI^c0VgJP
z_BKWwf&rs_iaPQ?R6t~rq;RoKR%zQ9Gt<U)H~xyxufowEZ98vs`xay_n{>Z8GWD!!
zxjk8}f=!R-0dO#DI^B{nK8r*o;C?&4xwomqaI_f6HPeE5%=_EtYoc_yVvz$9Rsz94
zq%WS~XStW_F1|&qPS3vIv<AK$PTib3o?Yek(SSI3{VbDn7P=D9f*Rw@H7?*ZEAy{I
zjuKyTAf|?(pkWE{d0M<?wd4>_CO=RT;8@w%gwmGM(!l18w<xF=h?%izKh(Now*4Ym
zQ-K@+M7*!jCB45->sMw(&5RDhuLDya0GSZS=4NsEA)xM!e~d;5v(dT@F`u=aI0#7g
zIT|hVa^Mu|u|ppVR>%_-D4DGfW_d|I&qmaARYBN?{=3%{;1U(mResA-RqJCd$itxc
zubWP!(GkD*4$>Q%1^cY~Lsjr0uTPY^0cv!gVD0%Q+=|6t5N3*_5ZT!OXgK^zSk@=T
z6(NFAl=~0EH!ASCu=@|ItPL5FgeN#<n*NyO>LOPO`1~8}wx@gq3I^h;?~34gXM<wF
zv=a9$s4Rq)C%rlARh)=Kir33S#LJL;2x8~EzWSGwK?PBQHYq!OUyuF)p{E352ki~<
z$RvR%!BtoE_{+RLm$QwD=u0a??v6l&e8tJ`sP^x}Qh~)ZjofZciWR72{N;u}>R4e}
zKz2i@ZIi+2JNTQrwG=>UBUM&{R)a)~JML@3ClE0=b>J_hzx>fWDdI0WPN!=M%F7~*
zveX*1KB#G^6%a`2vO4*j?7ZjZVB1%^7Dv&JQ`EM+{@E8>Qo7-U$GSN%<5pS#>A%sq
z)F@5=7*c|wu4puBq_nbADs8bdH84jtlj|4_sN_UT32qXk)%7cl<3*F5Tq~v~@T}>|
zs%>b11wdDMqK(DEwu0$!;6sruGU+t)r1k~8%n_Fj&U71%^$>mrdn8X_N)LaUl(b{w
z4jLmu;)JqpTh8Zb7-EiM(<U8boU*NOnKaFc*IDCQ9Xv*Z$KcBbfCU3LNU#4-3W9Cg
zAH$CLPo3L-tI6i%l;&zwk^H>wZmfYjJfMjeJ1(wU@0%knyGq(=bVNk815bC7K){^_
zWI+dJVk)}^#pabpMh1`f_e)W+6=A8ol$aU$A08f->Hv$fwDgd3IQ6Mw|9afbNJU0|
zX{j|Z#?GTFIQV7~_ocS>U=d6lh@bgx3pg;Fnk%*@>j9vXnNh|b0gx-x)6j@$JpEWO
zZ*coLsp;4{sY~IDdrvl>2h!o9djX=Mlr<yB5PRCQdi`?R-9-$Bn+tgaIOyF9a8vvs
zietS1>zIg0rycgS=M-^S20N64yDM`^Nk_3c0w*)ze*>6^$`7r0nOjwS`~-rZUAsB1
z5snV;dpsv<&h~89A=r7(!UBp_Y5IUZ2Y^$w{u-P6=MVofGJjR|z~BCbaEbxIoF4!<
zrsn1<1Wpks%EhYBkGFMob@r7B|H)|J<!yq1(#Kf_0;TtXsq~i>@ZARdwa^7H{|3UH
zuXNwO`Eyijb{U-m*?E$2c?WX&%KLkJZ{EGzyc?XYc)UF||7%tQT1%p$7<-wLlamb^
zUBa?x0Z*A9)VmTqfN#<Pif=|2=PHd65%lG?0Uf93-5D{z1{e&^<Z-pClq8EY?u|ly
zBSd<y%fQLSrRg0kEGjB0E)Lz&2AtOB)|JzPp_o{AcR1F51E8%W<oo=q@%-uj5(ps&
zQYCO$d&b6obpvVWsHmtyqiTRr4WL>O{y~rWnC_FR%9dJg(Fb9c`p$sgt}(x|GFJ3X
zCEiX|PwQJa8TotM$yzIG>#FOPL#`gx7T2P07B)73*9<V$K^OQ08}gQv>mI6<=cyG@
z^Tzd?kV(}_%}1d-NtcuHh1<*)zY!{udE9KKNsUq?&c4{<Tus}X>6f6Hpmbza)0i$G
zpfP!YX(2hDW@jJ0;t#@C`O>eE3{Zo4qzvxE0;1Due$QtcypDkDEO`*te{Y;Q<A4Pr
zQtqiYEECpWG5IEK0LB`=Aw&gwx{Z+kxFq(epnxJ!F+vJOO~WisSxYN+2fdi8iWY39
zm@Yo86L<Q%r$^k?5-Uv9DA=w<38bbW|Ko~REAjgg=&Vv2V1BM~FR$<}0Zk4mwY@C{
ztE-p|X-WC#0dWzn#NgPE^`W+so#`{(Cb(LVxaGK-(6Y9JU-#JgjAN!|QVp$i{6vF(
zeMv%%Y)ebgPC{RoF16s3z?s#w*qfvY8T!JJ*@l5#TBD?)D@)4M(&GiIF{sSi1I<o{
z$!<B@$bcAJ9D!&hi(p*@T`-De>EUX8W|0>zBMIbW;EF>NPg;M!Wb9XEv!cC!V1q=j
zM7)O^PX}~OMo6b~zN`$S2BG^p4ZzgY@+RS=g6@NYssJ~^mvbRqVJp9`w)W1t-N1@M
zmzvM|5@G*N|G)5KtBfwNem72*2iHDfor3>`cxC378#ho`BQR`V5B}9a*~bLs08*k6
z4ld~H!yWTdDw)Ox@0)f(1^X694?o62tvga5eAbiRGhFZ4uSnn#v$&;0L84dVTW~jJ
zx!s;|An6o_uh(R-XJhS64}KsDbuj}&Sv)IUBmLd;UQbRfLSPKbbH@x~;a2btbcP1w
z$bktf6d=?2qsaLj&9<!h|Hz0qEdTGK$_zSwcK43PkR!izyHlO1<qUwb79HOX>h!OZ
z)0rc_S?k+rS^O_)z(n%@OByhHgvpBAB6xeoq{%^e*X4%_sNTFjC5#$v&@inEk?QI!
zOg6hYC&^n`tEQ&s0^{VX$DOL}T9q3@tqa{*RAGe0ob);cXEc5OFS+vRDp4NE707zJ
zt5BZ5X}7!($#DL~9HltMtj3t<S5qfC9&+^J|95Oo!g*x&ZNRcCK>#;%XDN%91-Eom
z{>yQlZ}5Mn?xf5nI3Rt<KXN=T3(LB+dbjzo(b)>3z1rmg((lH*41Rh64@gIw)+2Uy
zQ@j6QDGt|JNMv{GBXuEt_OKxo;gaAz{;EPfRr}v-6xs9-mOm&}UH^U@wt0$H43>Cu
z=T;C1c%7W&_Kx?~>CV-`I{x&eUvM{h2GJ(!<|wY?Go(kEW2OhG!ZmE%w|y2)$&R~{
zzUAv2Xo(G^{D&xPzAb2KbM9-F6WJjS><U62C0uAVx3}oK%72lP2*$<3+ZZ_bCJo6A
z=0Q*VDH}dyQGIp1NB22W188cN?slzXu@*pO#jd_5M#zO)TSZg`Hr?;UQk%`4USo-4
z>171Y{@9<q&nBXu8xoOEDEj7XAs5cV68a>r(<pmhSzf9jO6|ZeB8_w$e9C=S#}ldV
zETRAAmb`#(8h>+bT;!<4;!Z?va`j;CvBtE2WrR*;*Ihk#u6`il5q+tQd^h=dIT(@2
zGjj7G1*o0aIk?Vb8Ht6kg#McRF@z7G(li%rdxmkEY@Yx((vT}{;mswpT2fxOgx*{O
zL&TLH_dxQ!!OaNo_pq(w%~3lv$=o2M2~SkfG$*&p!{Rx48*_<nH;yje!}&oEv6jmt
z5)KScp^shuA6h~!ililYh+QvVa)5*f6XesY+mT&HR+DVL%OkGU)a6tUP_=~plZU8m
zTdh(6t#1lzb4XK*y0`Ql<6*6?)rEGehj_T1%%Ss12JHF<NZC-%NBio2QzNTV;%N1{
zrN4>$n`#W6$KI%N$<kQI_F|X-^q%<Nk`)+H3CpIJ6z^H&s@?J@+uG9;&ckJ<w5Z9L
z#6lmv&2mW4$C@;c9l!P&v2b^2xkni|5cUY$1$Nct+DUg-8RH0fx5kWo6C~)X(jM*u
zrd_V@3fOL5@p8saR{QlVItY2&lY22g3P=-|To4Sz=)}`1h@?|7W!$3WSxqOlQ%0Ym
zv6hz8442uSZC3uOh(0aNly5B>E4_gAyX%?^-#Gl>4nzF$LOcm4NRfdbA-ecGWyi-7
zh7$61Y?Y;=y{NsI`shd-R>;Dd@ElD!O<HxA4^JUEQt$E0MvbxK93xDHW2v|vTN<N8
za;e?F`WmC_2n{A1vAb$dyJ`>c%#7vjfqY@3Z3dI=%hA3`lMW^n?0vjLCM~FZU-Ja5
z95pQ^n86rz%xAjV342(DuF|lL_}%W){@ir`uVE`rwQ$433M4J18$Qxaj|R=f934&_
z`qbW|MrXV8U9U0Nhq*Ca5)9V^m^ZMN=4Z6DSKc&N-jYu#Y1-)mQNv~`U(ZS+hz(1m
z)qK9U<^HxgWa$_4YyZ@DU(8TKx~mCJ(@S3omVfsZA^E+@No0`{$0at1O+_<!m=Q6}
zz*X`LA~(-XOQa*g%(hln3SDiuKp<TAEOm&3_B&u|@t`wyio(H?s2+z?Qv-#Doyv4z
zMA9S-H@pMcm>Iv&4kqUpko~Njw`qvR1~ovd=l&oi`lzp!bH68y{XD7zZfxX{S&|&7
zBuSc<XwCg`xW?MH9&qWI<mb%^<vGPlit-90OOyD6>TiGExgeA_arFP#U-CDl5lGR^
z!I!Rx0jwVbqoc_>d{5LUZ^o<46}-Kllj4B(mAN@hG<ozl<Hah4072A`DJ~%awBE%#
zAb_Be3F(^Tc>#8in>$sPATu-b_*e()4(^SAXedmMVyO3L>lhLh8xGI0??S(^3i9%{
zc6Q>Ne*$KIXy`J$KchEeBcr}Q%`Sbtg~OO(DJdx>B{WX$L~Ir);oVmEnu>}sDJhcW
z!1(OXK~FB6!$d+N`~f8fMgWM|VzY?(i3fy2>oO!~7z+pp0AodZa==jnL=TW-c>ze(
z9(*redj^C90D99ce?g$PeSZ28U@c)`VYdz}?CnpFjv^XW-)xj7-0WTHBIJ?Np_?*R
zSICtX6~!d}@vQ)7Lu(iMyMV^E#YvjWX<}sCNd_nLK($7SOI=5Ymi8DBGQMZO)<vW=
zmD8FM9Q+bjCojI>!KV*sV4V@oAyrPuWDAPMt9bws?W9FndUv*1W~`zrqD*4amhNFc
zkaz7gp|7U4eUef1vp6}QqG3tHY2xMS-Wk1<g#Q>WU*cOTA@GELPw1<wt81y;3X53A
zGFg9qp<`B1UjPd8WPlw3JcDA_uypDM>y<t(GLSq*LsQn@chNB0C9H;biA8pxsiZ_q
zdAz0lVr^TuYf1t9e7;BOLLRx?8|pB1C7{ZX_88z+)TV1j*?DP+p0K$4J%CSy&<Zu6
zc32vRqMHuhw1Rc5MfJm{X0*<W$APpTC>_a}!2|E5L5zl}vn2;q*2CiCc6ZW^#9=(Y
zMG;lSBqlMc=n|4|peGA-@8@J-pTBXTp_WcvL!Kqkny}*i9Ck`%7t0M}ao+NDpiwh1
zO)IU)t*$N<bhb3m6q}_)^=eG%#o(m2_-tCK3Tr^EGVHQ!wCQ(@3!Z9Lfd~t2p;Kc*
zQs35yt&e7NQ~}>(-@hWEfrak9>9_M+#%xq2-WsS)3}H^UzMeKy_PXn?gL!S<<(A;^
z)_c0%y0IJ9@qIus&s_B32w3%DWU%8f*{35KzST_H3Ot3Qzkx|vU5%Mq?DqY_4|y&~
z@~6ur2Vai5u+A1d$ih6S{ucD3;XqBQEXHWexZj|#Hi{_+1PZNUJYMjUFUqedrs2#w
zKVdt3o?zI}e{|KE7*c{D%fHXo2kt=2KMmXVIhw<K>5aLI=^FU{7xkor=4DIAg8KX%
zI}&wuR#A>Ugd=JUi##o-wY}UVuB21(#DD7tx_rY*d~Q8@8Q{M)F}&J(-ZitXdJmxC
zNSP|nox>wL<IQ1~FNfSA9uBobkf~`gyVDRn^?bI%6weIZ@KkUpMdEcK&Jis+6|j0p
z5HLIKf$ch+IvbNg{%t)s(rGTs?Co{~v0}dS!TNrc%F}7z$wb(UdU|NteJBu&>Ecp>
zVnDiwg8?MR+ZUVz@yFLcG*(-#V{Ty^^|5*8Cn?uP=bA4xU~{Z{y(c~UucaYBCOEQC
zIb0@^K#EdJBn>0$@2`4p^&F-);Bfk6a(>^vniP8j`bx&=^1!+3RrhdO6ft$E({oK&
z=Q8}%{SJN0Czruzl<G7qem3*lpnMb9z5PQr>LL;6_s77GRX}N+-<=8D(Q!m2Z_vHk
zn-oZpBp%@@a*CstTZiA_l}@ecZzvOjWdfwh4i#i1LnxGPU*E%KlhOHY5y-`Yus9Qe
zjni+#+6O~#R^r)Ly{fEN=byr8e_An?>0oLv-rnYgL%7j=7?~IRu`A5nM~{giFwafN
z)w33|$mw&EA1NZTQIPY@$*}lpdqndNu2Bt!?N4fcsDgiiFjTQ5)t5R3ePz9v)Ro`}
z^X|wuK+Y*3@Ejp(%F-tWEq%U8EO`jMFSvNdvSYKm_c8|>!6)-Wn#!wx|3vtBwr6%_
z{cI1_TIU&$w_?|`p>&Kn46D+?U}hbG1P44e6sX994(=?UV!8f0?&B@2pV^-)^xP7~
z)HG4KF*BC%?Z-Eul$|jGWDLe!=d>no+l9Dg83}xy0U*p^_$%tmC8pd(g0EQgAs$|x
zY$XnY8bY2j$WZLwnu&wco|{;>yT4!Ehk{`POocJ4Mt5x0bfBl?Y+5B6kWLBdtOi^O
zf6GTUHet|=3Ds2en%s?jo|@|YPNT6Vv37dI#Kgr`n!PN0Z_UdcjW;>_2r9pBetwL9
zXK8gH+h<>t3~GMwLR0fRn+K}5%NFBpO;+=cuse_yafdsf_9N{3)6MSR7^o*mFsz2h
zWb5B8v1*Fmy_+0)v3eP3cpbUARP)HlAGWxl5_iu8zKADGnr!@1uXq8pCtjZnWjq9S
znHx1Q7V~gvZ@S9SjplT&PQ=IJxScpszjuxM=WT)!ll<SXm{ho%^xKBmkQX}JMcQ>-
zhE@5aAM|}Ni?s_qcB}pZ6md(Ql=l3cbQDca0#a_&X6U;Sb1%;$Z+SCr-?|v{@m_Zh
zjG+nJvB)2@n2L{j({hY1n}R*n6`mggjR$wjqbpx+Goc$@|MvJn=D<juC)P}sgFv4!
z8iT<>i+kC16*?SK88oFY$gi4ris0zqdIwzNg`)}~vsl9mEEAUK5TN?t=e=XfnOnsm
z1s-8+&byP_n2df_4y0<hBqO%xEETZpK=k)&Z_SUD@O-Y7jyFSyBF6!FppTsAdL9R3
zbnw-Dgy*lK3(UnB@n~e_%1klubmu##A=bQ;KYi?BR@}noR>4L&E#~!um?196!wwSd
z%EK<Fy2BRwB%MyeL{0TsK}yn*WhPHkf}N>(lZ3*1^fv#^jFRgc1WH#T>M?;k?0$8K
zZ)h8_Huv9N(EGph?qd3mgvgEc2G5}6oW3^sWUtXKsYQ~HR>7xF4ISGe%mb>NhhLrK
z{+z34ylV6@4IgVpPd(_f9lci(-Rr~a_ZbhkZpt&W%H3ec*Bln~kud_m*5y0&6<%5G
zWyY?*D_O=>h0y%&d`XUtBCK?>Ep@V`HhN9sQy{*6`zFmgxfVO>gI16t*L@7%q|Q%<
z^VTYztEi*|m#vk>!bhxQinhSxk>-}VMSg_2;VKOSwzX}k0{A83zuIM--O8O6NX@S9
z%^MlhLvcl+A;H}X$YQVW@}H&4W0=$im@MtNS3DI$-egO^H|KNj|9m3cks!AST>vzU
zDQ?GD-(T$v+>k~UM)?s;U%1|zZuuMZ>|NbI(!wqFwNFa!4_YbsnsZW4zDh4KdN)C!
zkYge14^5uUua%z-mNeE9HcH~67;vUsk#^d8+<Ex`hMH7^4ko0KNjDDCvf`~!l<EIy
z0g9Do{5XHj+o(-*@G1lCX?I=%uqvuFY9hJAk8D7DGcfXG_zrwMp%(c805)Al%&GDj
z^2x()56A(33OSN%n}M(=-7_sZ%uM-L$bbq!u2rZ;fDHs#jm^#7wPJX|1^p<Vr#J=*
zq>IbSj*HfOh1k07@y?GG!Vv20qO7Jz<5&k=d!Icn=P+omgwg(KsR66sbvq_Aikhj0
zYCX6KbV}URe#%MtXLs}GQ=I0b4hK*N4Rno6ME!-R8!}@1rewMdx6`yNGQG?QhZFhX
zM`^`?JqQTe_5Tp>-QL#L2DB{KlCiTVF2Q|(3z{g?;hc9}0I(E5){)+pbSx}1sua%T
zcNkUP^~X~}`h5+g#th%y->23AI))!Fwq=~!-CbQ1^;oCp=2GI~NMa==H39dPGtiAp
zFC`-bbnOwdR(G8PShu*S+K#29sHksbgaXS8p#D@;ROZ)!_Ki3lBOuGKrMcPUPhBCP
z0|P*8cefbu&G~tN1)H0@A=f`UD@$KbPmbYkWo6~}pc3GJ0?Mm_{|9)NhK3OSZJR5W
z+Qsv*Q6bHL<g&{_4C&loYH*g3l9KALG9N{dHcnty8+N3Yr93(gFog%~Fms4+k9r_Y
z%Mx*JDggr&(4R;E2Do0$^p+1w5<)7Xh4MPu(zv*|z`tA#5*Y<bQmc3c>z5T6Co|}o
z^y0&=zw?k4Ssr+U<~lVsm5_J?oDm>b(*PizoaN;pvt4XPV^?plb;<0Wg&MW>u}4lM
z0C0~!Q2_{_k}@RFSX}Nc@;6-H3@e(_??4(?J_0&yxh}7HXnOVA(I%ID65bsyqVyjW
zCA7wAREL^{1%K+VwJd?}9tB>(@e6DA%nRxgr*_{ft}F?)QnhJ{^%TIx9u_7Q^5)f0
z={c?VFY;7bV3s{Fi8r;*sXm&Xv8GAEJD2`>DNk!%@`L!)v@qvF1to0k$6B*EzlNpt
zm*qvQG`!s=UdniwD8;<B1o*+`NeuG*%w8tRlSZKxZ~~LJ$8tTHvR3bBSyGVwy)YcD
z#H5;*%0sh8()Iksa45~eModYCO3u%k4x_h5iX%)U>nYf|EZuN!&^s25k`CJ}UQAt)
z0^1itNs#K_&2);)O0S?mmHzb3B~LVH^sUlO)&K}?5QY`^&RN%$n^k#$_*muNNlddB
zOy<wnVQHiEtTA~k<<#LGgz5Qa=+r(`Uy9^~QV0>x@8gr8NLS0vVXX+WDHS^J->CIJ
ztveMU7hH7U_85}9$dwm8Z=tML&E!YRQq3`9b$G~#t?jt7-ep)GE*d{iW!vRNUUoO<
zx`00kF^H7@ypngg<h|AxO9+jjg>E-(7{Wl7AbGtkA(uVT8}ZT}4g!4-!}DHWXi31j
zKB(n?Du{HOwh_#ZP2g{E;btMOO0e2F;WZOBfahs6|7W2(hxm)(M)%w*&mC*+G{Scx
zI^QYuzPY03!3*MDRC3;Y<?{-{^Kj3^LJ$46hqy^;C#USVfAT{gx7L1h#*ddFkj}}x
zl{t3bITb6pf8R=kp3m80HFggjSzeB<d({_J60S2jD)W999x=IGy}Bc2)tyND^ZE;8
zzyg)K-cwfpW&r8inXHk8>vajY6Qp?zA4fG#c9%sI1Ll9)$vDkUw4%k}jjJ|DbJ07n
z78CS&Q>JLy=$UyA96S7CY5FCi_|ZUYD_XqH)&-YIkKAFXv$>PM%Ne(pwAjtf2Nvl-
zaYGVM_qV?{PDS}-BQ>{m-5givz53rVkkE{j!Eh-~c=~$D8@ZV1svn8Z`nT5N_a`p9
zP<j1!mUoC~N3N@yFeW|CH|u>e$^7Lw|6=3P`7cZ&)r%aj-@eRD1%0fmV$M}ue%igA
z?tySPF1Op!lrv3y^LgBy;XPgyBHU32AoApH(V)9f8;0RcCre<3kWD5$X`C4N%>tZ9
zNvrpZTV&$vw_-OM5a?>e+5M@}tvd3k+}lukuG=PZT&TUJ8fc7Rj~0UfPvzm&jUkHs
zDG0m(TAhG`WpCrnI>t6;1kmJ~!-`iI;5n0o_*%5KGySQSAyeljdIR6w96j_)EG_gb
zP_T^s2Ng~r>vl1Ij-8dQbaU{!rPO^)#}QfufdqG#lf{;>f;Jkz<?GpMw9s0W+ay^y
zj3bKt-QR>pTk=L36TLuZ=6sV%_h_E6WFKGZdZz|W;M*F8tV{M5R4jSbj!ym`{8yJK
z)g3V|H~uW_wfwrQ2m|!3VvXbMfBv!{tZgDX=;ORT**7Pwjb-oto&}4Up1@WsZYc21
z{T<G^angddi~hCb+?R%ufLwO{*{%zGo+o;KoK(YI!sH)||1K%7*d>cUg921@XXLd!
znfFaSR&qCG%wFQ=EjLJf(KDvRa65NoSt|HioW^5&gKBEH*M$a=v9zObNqH5&yQQ+^
zQj%L;F6q@}Yg`_{8Tn*#yFb^=eyQEF`v5+9mHk`#Jowd!nU_tN&HW%6oxctS!g$Y9
zp4ZX(RMIwMOUw$q$Ve3H)k@a3+b2scKJJipCDBL2s1_rIE&9J;G#A!?ub$_zXL+?j
zGQq7OaDO&EX?ZCTyhiI|-VTQ#8|n9Avh>C8*5-v0zR|FX$CsX2YsOd*zwjxEBva})
zw<paj=4YZXwe2a6t_(wDv>6Jpuk@VR?LD?H5$p&`<0BKp3g8-zLtlL-qJ#z}%NxYh
z2lO>oiwwhSw4eeuxuPu-wrb_IREA|qzc}aX5(_EyJLvaVFsRJn3Mq9jaH}iYDCzYQ
zD@izSdU30OVkS)KDc;kXN*Dcj3v!Brki4YtN!<4pAu&2W>`P$tNS2_s{zh-Nrh@Gh
zga%7a0j}U_lGm~(sg(BYy-JtS%)_TG#H&FDyLaosiYpByl!z)3Y9dsX`&zYmN_8-U
z;JJI>xDYteXHz5~vmga79!f;2=8tMB5eFUzRP-{E&(Z*&wgfZu>vW`)vr$c<Kg=fP
zFG+D8Rb6fQU1C3cc+qG}7#`LI>VVbM#CDRI08z9qhgh*D-N@)DWimdHfvKa@B!@W&
zH17rnL!%W~u%!XhOdF!!&GWwPymugA^2w1-uk)vyD^{%W)UVqJ2M^C(^=x<u$iYsK
zCW~us=5uNX;%)$YHvyU#O`?^Z-HUj@tH&9z0!~jYQ0WQ@`6*J78Gh?G87N45`xSs<
zfRz>rRzL^^c%ZF6rD*x3i{b&m7Y~3=H?q6o;bBGtFd3E?6ciL7f1k=HK{3d$CIwpB
zfOR2Gh<5A0!KVLOIea1VHTpDwRGj4G_&Y%I_Oq;P|7s?Z8Ym?OCXjE0Vty5rmD!q1
znQ^-SCB1-N4ORuPc>{pTjaf-VL<DGJZcu}vpr8QGkDdtDf6b}kUjStaG`i^kBRfE=
zKSSIOjOZBkn`0!&UTx1D@!cI9Vi0|R);A#`h=w&Fy5E_r>=8Flc|RPBvF~kmzlpY1
z%{;U+F!9vZmS(sExGV(dToM1#b%!lX4Y1e!pU4>ia0BwbFQ%oy<aTL59oW-OOL}hg
z8{kgUO&ui4XODfiLj?VqMw0`60AwNoGV^aMy3DTU(Z7QLB|Ms8HAUKl&R4deX?&#K
zwzlv2WWZa-%37r!B+@a}U9E9Qfow?)n7qTo!p0|x3f2a$H|2(Znh7}fMBu1e9rAzU
z16K(xr|EXV_&Yc{T2fQf(RrP%`9&p7$bd_&TvA+Cwu)u8{S{CzQ=2u&@FyoG;s~e!
zRTA*F#lrh=ckUHZcj`z3ZymsB;#%O6akMg%@c~U1^QOlk72Q^_rG4BKv68?AXxe?(
z9`MfOBsYy*Zi<QDK`edEpfy;k`)5Hing1Wu-GsUZNcDgb_SS)>5a*NQ0nESey|Ho!
z%V~ttzMd(g>|wJo%`t-@=SE_^*^%l)zhC+7puEU79QoHmYtO%&T$w_@S_9=f<>KlD
z!;6H?@}Ja;3obM{pGwtQPsUZh0ledCk=x~pV#7T;MWXgrHYY=v>P)4}uBmcyoi1_u
z{Mag`ww6i|c|j`o$c2JH*D%s3lEut6l{NjyWAaTqqdB&zQ*#2lsakS324@YU!o)st
zyQOrhQ7E4Gz;*!L+qDv2%o1wvH^n;Boi~@C)O_BDB^l%|19VG-*BQB2({4z$RW^<F
zapkNXcW<7u<=bT@kwqOXm85Hh`5)0XZKV2?_^X~=B==fE>;-lvo9v&Z+p6_@USH0c
zL@lrU1W#-6xskEehQ}7lZhyT*rEvjt5~Y`hMWsaB(@Svnx;MGf<yqef)l5nax?W$J
z#Q^y1@TF8M;l<kBliz!{<f`gR<lVu?G7wN7=)+GBmpWB5yX0N@-m2EFd}nAPlpo@G
zDdbcR{fSnPvA)jZ>MVa(8tA(kI3-wU^cZa)0|0s!zbD7l99S;A5CPay-R`O|gT97(
z9?#l_7!8DuZiH1+oZQtC7^dbShEBT4rB=VlT4iFyyQ=ME|4tP9uJxy3(Tgz6&R*MF
zi0SOM{?hqa6$11%x$$ukqLjmii<jD_<itGNP;y}6#|ehJ{qU3Yr9L`(!=CK|j-lmM
zFmrC*y9$0zfuU@X)23s`D9PnL_+z~8rCkrvT`@|AGWQ(Fif*;@cQoPuY_13xBs^gI
zw^I(s#yLt(zoqD5{!DYC`9PdZ3$2&P`R!_JV!JPJNVz1n=`;n_n|==jic796v`?Im
zz&|Xz-Es67Zy8(McFXPY+@HzU<H^q9x5)DuFnE`%wRt;o2`O|QP(@imxvc>=w?o+Z
zM0s142c?wmM15uF7h2@ubfb9ptKoPSstEfgi>JfT+{n<b_zjn0;(O=9iFW&l!df=L
z15u1sPk))|dD3;M_cR<(g`+r@w6d*kClkvNxCGf!&fv>2@4Bb}0|&t;E7gum3ccME
zD2b>mCJU`KV(Ktn=N)mrI;CFYqai~2eEY~IwGe{F7)6q4cOrIgX`-s6{BpP>)Eeq!
z;asPniG_&4kP)^>Li3F0k!g1Y2`d$btoY)iJ%*y|=hrv<F#w^L-IP8)Gg$zHN*p)E
zuQuZP3w%;=Itf5rRs(?!Hf|#>PPjdmi|dc74?VFEE^sQJ9ic#9xoF9#95(a)-4&9%
z0sko!ryj$b7}b@P1}2NqnSH2UXd(m!8VI4Cm36%bdPFH2>yp99d+YsA6+(+yFdwz!
z@qNhrX-Nh)gkO;q)VYco8*gLadkB~5sDQ%kcp<;^3Jg@xj|9@eoeF({oZF&dP8O#V
zB6wWhG2itoAMhn|Po7{yy{lF0x*+8lKumwza}8*D9G!Qhr)Au~dg$kGjJ&5WMg@W1
z;5<Gz-ll@ryE=b%Ik$H{(l@BwoAJ;~bN{ySIg@@}A?4H`9U87bKWv8JFU)2j0iOJy
zv)j6XhfpH)eHfdsXTi}}y?{*=`v>?T?U_YT*uy+Pd;YQvEfXpn@qRL^SaCfP*Y+6v
zrm`NN>FjTe;8UNONQmdb$j-Y%c^DWucw_E6^($}dfW7}h!jwHIL>%_ybP>I@?#@cM
zYd+@EJ#Hd8s<1l~Mg~=x&MYfp`Cu@wk**Qn*QjR^zDfjB;pP@NUhRg?vZC~`C|tFC
zot%9O{ImPM&}n0*zbC@UL;=qgTrITc>E~F6jVnc?BSol62{;|0{_neiZ`h$5n?miJ
z=Z?gw_foef<~z%&x{pAML#MOU4(ZF2r`EYU31NZwPbY?^`coV5*7HpsCaZ$LoIt3Y
zYnm^yz|*_8{SFxFnEx;!JcKnTg3H?ldh<;-86jrdo0Gg6@<cmkX7j$oWoSSHHJTf<
zj<JiPLj`B*{4^it+dJiWyQPPEy^>k~<4Zm+4AA$6ih49(_If;Y5R8whl4Tjp9p8)R
z3Kx*-s7Z$z-u*@qI}Ly5FmTf|N}ybYjSi>I3(SfR+H>PD!zf9AeF86Vfy$Sshw)2`
ze?qQ_Wj6qYk{ndO;L$;#-7EddJ`Hx#Bb&HiFDGS>d`)5D&nwL{=3nS^nLa|Pe8Nv*
z;9qjhPc$`+L!K9*hdsCa?hX*n8wRQ37F-Ah)wXveptbk>^$tg8FHppb=H&-zK2A)x
zVmbBYMwS|jYNy~O-Fdq4yF0LNgq_Vy*u@AqiOTjCS*VW4bO$q$eT)m&Xy21{TnWGM
z#c^kug$MNGYN6T3r~T6XT7HSFt_ppYlf&l`9vk|rr306}fRQTAdw|VUb-1)*(n%hn
z$Gdlks;Yt&ZRvZjnyhx=XzV<g6qR(mWg*^>-^K+B$ob}{`atYybS7TK{I|0Ge3f)$
zPSDsRZ?ciK)N7^a{bY4-LJdDOo`&|DrD*y02uYA@joz5YPb*0zw2KAb%oe?T(!)N>
zu$W1mWTU@h?03kjba4H|s8Bb8d4IU{VDK<y7_$Bq_Bj%nNPf@?`d$Rj0l!zki~XPd
z4~xu1*baq25z8JMyDLYK#m|cPuQ!V&N>o$PIKHj?d5572wiACh5v-%L-4#X^guJ&!
z<t-M!*{7&WkfLTj>!A-i@150MnV1A;dg{V~KDIMcSH#}lbWu8*8I^S8I))A`t}{n2
zCljp_T|GMxQ5v%=d59es+P}tOP!uKyWHG0bx;PLhDCkIrM_A0mF?!+R=tv%J9GCyt
zJ~4z>*d%PBSZPR2$)F{+M`ow^=QR?$V#%bS!?sUovY*)74#{OPP*2z`TxzNJJ)fJd
zgPC<S)-9f5P%*p86Sd81I=s2G($^Cjs$ktMZ@tkT#RL@<>`=^=rb~1<9pK7Lj+7(t
zC6qcKMY2|N%WiZ(Q!x;cxpH&X$!ekAq@kSQc7s4%azPaIqf%blPdC53EyWHJRfzu{
zl+j0vza8$zuA@`HrAaqx<Vu47pS!sQ(}f}Zu4`AnM<UE=b`0^;w3Zk3+=S*91-Lpd
zQ`A>vA!GnIckRx&Ju^R+6Pb<b-7ng#F53qp=I(PL0%;Gk>?bs!PgtK1j5d!_@q!oL
zNkM$I+i1F&%FzOvnJd%lyydzAhgI-}LAiK0y7f+0ozckepMrb#u6cVRbXj_ZyamLh
z*$IDL)U_fe4e@Nvc5=P+i_hAT2IGVfWbS3vh}{9LnW4X<pym02B#3o3S15SiihD|q
z^7FcUP-sF0QMZwsMWDsW6cObYJ5<P?vD*x{jhU5L;2zdw<Z?;jbzDK_AI6ksPE&ea
zYZF*}d3bjt5cN&gl&C_y4Eb+svlrpqh{_Fr#xDV0=0u$p&;fK(lwKx+4lAlM!b5pO
zT3z#n2XtN3bbrr)Xw~+7mH24Q_|m)<j@YN21Cx*M=D<h8L_akIFn%T|v4v=vvpm<D
zY^$yX-^lNzseX7s*46XFOH+Y}pvYK@y2~#~&4E%K2*y|szV(zQa;x7uKCe@4Rhed?
zTz4{C-5RxXowvI-HVk(vX&6QxhOwaO-{II>nBN~aby-+Ct*dWuS75z-+jx^nUtRRe
zhZ6*<W=AUV_8GN)e$w~6s?1?GeqX=vpfEo`5>xF<qKv@EbXlrVrFzo=?P`q>@0-wL
zjLTn@S^TqDTaNNuo|eyd_&{%4D=0aUebhQtl3nazLqL*IX_Y_viNk_{!PLdd;Dsw6
zPptonDU$C7PhkO?h?WU&x{X6+rt%Bo;!V5#R&jT}i^`0uN1{N~poF-vsY6-8FTBgd
z8j2j2#dij+4Wio5fud)$d*a7~nO1QL!%yP&vyC7SRI#Zyhfbc$iFVX?v^L>##gDVZ
z;}?f)N1(0K+(6-7Z8>G@K9!lYl%Avt(%}7bnM}#It#Ni|=l6N#0i&Rh+gClc*%=Xy
zaiWx9`IX>o7Q=1LMpyg&bcX_PkjJ5~OF^x`C97cOCmikunkV?lw(-I5P{-cY8jnwj
zVqW8)26oIC0EsX)HSwhk_Ri7KkXhXg1+a+(qDr^oL;wZx;5Liz!xeQy!a5u7FhEvw
zc$))$<>W!~-9O1)V6e}ig#U-Q_;@iAG~|1rP@})V@a@+hKYjou1ps00;-acyzYO2C
zdkJvh{nLPjY8Fu3)^5#LnF9g^li(y(K+REVa|ZmDE$9mjQvj#ANT>SS80mbV%^OHp
z)jb1rt#rIcpYJcWOEoHZ$nGHhK9G}d%fNtvNYoOm!^3T0&zX^d?-Z4qn%YmXEA|1!
zApZa7hWGMw^MZC9B{5Kku0mC2otUp|3AodRP{?Efc?fXyCr!-)3kgRY4p33<CzRe@
zYE)VO<A=X40Z?R@DW6PVTv9?(7Z)yH=*)#bAGfn(<^*5B!*OTBq2s1BmyGU3PY>ka
z66;(%Tw4Q;9vumQET*>B4Nw{Yb~fpJpZoS?NitvpLGa$|@5c3!XxGjHuC!bFgaQ&&
zqB>Ek!RYDvm=w3Pw6wQpK_j+5y=eq17of-6?wfD3p2}(t0wtd%)`%<a<w``)OxrHI
z!~<HGtStGF1R<@XI%^SaX<&!Jpx+$2iH1*_P(}(G%HUQ}kFIz+H_i+u;O_l$wFg+#
z=ad10f(QtrWw^6Z4|vTp{T*a3q9El6$K5L)g-_j72)y9H5tLzU*7G(X*w&KT(!!$N
zVI2|z+i!iKRt=QGY#jWP(BRqIwXA@&f#>1wj*GW0OHLo?IS16qBMCIERtrBq&38B#
z%A;VscbWnGWyHWw1+D;U>M-3ixk$Ko$gBTKYTOX=xN$QLD$5dD##&g^?U1pBP!5h7
ziCgTctxMJt=T*vcpD;v8T)sS%0z|%+b#&u1#cqly$#`jKmA9j;mP!LAdY5W}E&;@+
zt2T#{xW|P<ylJ}?JZTis^kR-R%=_I)8InX-x@C`4$u0U_?DTo2pQnhXa_^H;%yy~=
zzYD<-WD$=298{Xo&bVbf4zM@U+?r$uC@srTUEK7!;{YOSE>-`@1eR_T&W8kvf#H(;
zkIanqW5ry;TD>e8Nuk~PPEo}drF`)-RMsVbN&XbKb}Vi_-tTIUs=)cSxP^Bc0d&V<
z>%scD;y!fJWJ9?S6hL5V(EORn3qfwUcAU3_kj7=dS2aEm=g<!*d?R~k`gBUkM=YI-
z{Nzzbehv3Ym0iTTZl&{q*J=aUaAln7<#ZE5Tt4FY1m{bN4tJ7z=4u+x$h*XD89ZKV
z{#YrRj$amVaBAT?T)L^kftwiFG!sc0xfnm9>Lsgri=)Mu&OStNEXNkZ@Gl)pqpj4J
zmsQ2Urg?=w*EuYznnqYjxwf~u>%I(b>{7eFd~IG^**SGnm*cDVY(|w&SmmvDy>zCB
zH%5d5N#51GH&v6X@2~T;4}Qy~EcAC+k(ZhaDG**QW4#e&znEiQ=k_DK{_KV*{nd@d
z;K9&x6kKh6$(@q~E?7#oSjjXSJ{vy*5e0edYK$U1@KUq_AwfOW_|0CcIj#YbW4P92
ze-#Wq|7|0@LWRNTdRqsjZae4TraY&*Jjy^4_q)1?w|iNK_4{P=Y?mm*mvkvPP23j4
zp}pgF>(NN$%iXa@JI@SKWzGlx2k{8j8;6tg*sD<^-HaOdgNRl52fKPN!?;2-tttC(
zs5)7lPgy7e%Lwec|2)3Hb)SqRL$7W~RIO#I2TK#3Ci}MPM_~pHghm?st=s<m!C2VT
zd{tKWRc7=D?J)=t8KbenDoqs*_l(Zz@aDx2&z!o!WAVt_i87fc7XcB^G0EqIRwVJN
zp3}_TxBeUN%oX$%1}ZRq4f6-zE1Z~1z5Btjt-QAkiK=wDb(C{v=qyp~tkC`Ib_x}V
z7aiVNhP=(M<Yx+RB9f0WUrqkK66KG(6?EN_5kgpn62(d!F7FXZ9m9tj=j0Q!sl7Yd
zw9CwplcpM`C;!KFja;-W&V3$tA}*)A5TQX594V=#R94Q7hDaVlWAmHOuXnjD)JJzg
zAq|K&@Utf(Pr<G`UM_ti34DCc^eRT2U9EN0Z$Y7Hc{01`cs9^-H&)G#JYmPY6CbYk
z!l=sU+VU$_^Ky`EKwoPeFVmHLI3Vy`)=t$ruN^@uuePmu%Lmtw^NUR0NLCF7jC-l@
z0Asnd98sIaAs6Rjx0?A>kR<%@mA}6MnZrc`0#p>f$~w@ryX9KA@q4oTRFA38yz8bH
z(S9d^SjZ2L@jVK?^H9vRUpfO8q$G{~sV;W4`QeqHaR72KW#ZQl&ZlP#&q={#iR{zc
zJx?_*zh=MND!lnnCWR!3*8U#V)G^05gpw9x`iCcS!>6P1VSmUE16(*5_4m@K5Fh?*
zc3%#*(Z5750Opq6m&)&zP|sNMr@OqbpJX56!*vR8@LrrDkwIUJLiIW4nqD&qW`AGA
z$ya1A<u0bI#;w>$VwfD=9<G=_1fwHYp^d&pKCRo5&;L=?LLQV8&+iTS5;08cn~2ir
zw#3<ztXuK4SB|TzP`Y6=cEx;&v@Hb+J<t(a^{#u;jBSKa_q<JRBX5TXAM-xf^+ils
zw=&$%6pkX#4u-lp(w6tSEQKH+=3L6dJ7C5`pb4>B)mqH_nVJ(Re#q5D_`3cdEkHk>
z|A<$U<s`}?zxd6G{&M4^*Q9eBih;&6XX##`g4+me6!YEsO=PyG<>pvSy`{w~uo3rt
zbV%$BL6ng$*N;E)R^=EC5J43k`MVdl>yRg+08ItTxm^jOCS3%W*QHV#&u=0YU@|u1
zH%;Jn6@xzXBWdy7GZTPdguEShIs?DlUhi_=YQ)gV#a(Mw({flBv&O$#h|R7vAyd57
zS6DnOMck(B<r(I3IvVF;T<zhtHn$sgS#f$jxL}a|P;y#+K>)TI8Ob`w(;bX{_ja|b
zH^?Ll+uk3F(J|is)z!$s>Q<NZaPPz+1vBf50}S3*s+UKdU2@M61|l>IIM4^%&&`6L
zdQ9iTu*)ay=ac%8RC|No`GDuW`xRuOkhrXVTknt4WDjF$G)(4Tf7DJ+u|$i*VQt3_
zDF}>&f_`dtS?n|P^z7?K{FE`|hT(XAy((|6%=_+Ed>C_h0bt%YM2cKr_Zc{k2Ubis
z`PgWQvR4|M9+)^;2Vbo15>Y@M3BSVUadQLwftMHrvLXzJ^eUF(6fo4Go3?Jh;e2?*
zcKcpqqXOF97!uT8K}S>e9wNKfSK)z{niv&WRVq_Ja3b-YUYQPFqvO4<--5|ElSbXm
zAVJF`JrTmLm)WZtc<<V3ni^A$*%Q@3&3mlL-w=DD-?|w>g4QxtXff|g%mOpz&}LR!
zT(iwN9V=JUXCGvvgW#bpKEXY;Gkqw@$`EwpZxII7pC8exU87#gtzM7D9rzDjahUMY
z+L3`kRJ9QAYLWcYg?s`aku<L7?{+6fPTdF;k0}`mj3b~xznU?Jjt8kio2Lcr%GgXY
z?{ivv>o>1kIF1Zf-m+`|qlk-^BW1%6W?bO#LIs_DBh=+``~2z`bIhvYDksRD^7unh
zSEI7J^ti;`!0yi!(d#J!?ti5TiXR>s^0?%mH;0-`T|lDyH6G7T{=26Kne|d9W6-**
zb14%ftpH1~0!JdAuPg)y5`D{A0bS*48LQgH4ag5ru1Pc$_0;=&BZujAc(iNdb8+&Y
zQ-TiI+#eUJ$(xd+xM~w@m+sRcNS}7;)3)w!_(Wx$_oCjN>WNEKX53q!Stb*moP+0m
ztij&a+45D6E*AHBW_Be|j;6<(&>)c9=tvo|?zx0)=JsAqvRgT}Rrxnuy0|}L#m|Bp
z5znki5<F$RRRg<`56p6&vRaGAzZ~<$+Mf4R+dol*$`{SYM^0_2fB&{Ev8Wy1txF9x
zJ}qdATN0#1(vMr`GhRPv)6cTYq`#PLxNf~F?nLT@K!3m^639rJMmQcZ?r=Qn)R@F6
zNvTeqZG0gN{U1pOI9|P_w%gwDeR${1A0)XX_WI!J%}3VR`pR=WK7n>mL-o0C4B{Z+
zyr2+MI_=5rGCE@nnwn|nAK)C=DL@m8__YZ9IEm7l$w)_O8~woj{npoE3ber*k*D-$
zaBH4b5pK|}&+m4kq~|$qVqK)7N`PN>-bj(OJGO4W-`|J8ds~kI`s#12tWSD+Y#6mM
z)HU@*tW`*L1u5F{2>f*S^8GaAkqf6ZY=G7(Kl|uM9us#9{#8W(9&Y*Oz9qb6EGm8P
z8ceo$59UPU=cZDN2G6+;z~fjE=59wpv0E#c5=SM_YLoDqMTt;q|Fl!S?7J_uG?NuK
z6mp)J?Z8*_!PLBM=kqgnVU+x|{1T75&PEe@Nd9nYSn;U<4C@A3sTM=laYaQ_!^NXs
z{xcHam(MP!6R!WNJ14>N=$H|!{En-6<5Q8=V4^uK4c#X;@{@@QJbTn~>z;ZbK!BR{
z%ZW~<#|gvba@CiESxS5z0eA0+XZu6YS1T(!|CUA%GP+*dyf5w7nSLQo%!&>}>?314
zOkt0=x%HR-hqJc~t0U~XG!FrSTW}|MaCZsr?jAh2yCrxI?(XjH?(XjH?hbR3_v`7N
zo|&Gj=lm-8aj2{6DeBp4-)n6XO&ELP`!aQqE;6~#3ItOID=3=G-Q)Zt7vjWq0uB(T
zR;);co$3U9rz-VGvOgP~5|iH80O=x-c}SB`|CABLaXoJ1vi0$%jh}6;brxInNonNi
z5A0n<Y58NPcLT#9X@u5U#x9B+U%e6}jnu9+4K&8r6OmZ1nB%s1!96F6+h3%$-oe)-
zo(^|`9wJ2n>)kAVsUmxD@&p@-$Dia@X)UY@E}D<|S3<qDgNIk#pV*LqYrBvDB5&s(
zU0)guQ#x3wA{MI-zlR_7>X58(>bV_VR4UeFZ4{CQ29OTJtF695acAX+<l_JSPPATd
z_H1~s!#|qda^0}h-m)Q`$M`=QT%3Ow(6NoDH|ZC8MWO)?$=j*r@RN<f0B9|4D+|KX
zi#&Z_AsCwVCjzJo*j@_{Lp{Q#PFzB<n~cK!o;`uF<~%?4Y<zHOlAH!Bg6v*n!phe~
z;h7P+xu$q6LN2?I0m#Pq2&wKM1hL2L_%nvH?v0$K_KuAd*q3QUw2-ANl<X!YpVY%9
z5oj!-4Tt4FS{`ENJAfZ;o0IzIy>9%sELxO(KSkgCz+Wt1O41-rGBOY==#%S=b7w$x
zpDn`6)QVi`MHXx)6u|7QhaY2DE!n(f)(+a+V|^UW>cfE_X$ycz(s1!k=e~XJmhyQ6
z4g!$8K>5%MNzfeA`>Uo*%o=HpOB^Bdj2V2ZX10_Z<>9uvsK7YHY+Wm|_Jcphxo9@`
zTLf_&rAJzRWwV#QSB|K2d0Tb9ZhRuL|7!_^Z?>W(Po;p&Q7bEiNEa|l5+8}YLRmuz
z-F=N??&xeJV{ch0RvKw$vM`_M9!uAJQmoi>x$UnI5)j72`lZW9Wm!USkeeurNf#T*
z(kO-6LPpS->J{co_+Cft<eqXpJ-dbL*RD8=19-cb>`lYG&uw4~#`q;O%9Van-xu7B
zdBio8Dmcp_=spIO1+y@5k$xH^QCi4I8#d6>&{3eiwh~KOl`RlHe_nALZVy78H>Jq8
zAHn^;);V2O5~F|8%m5VFU{$+`SL2)5oUh_qQcwC>udI}Fu>AA<v^12M!NG|s6Wr1#
z#c9%gPw2Pwy%_rczG7uX@S}L6$UG^wGj)mmsYXkuUh7T0@p+Acwc#lX8%&05Y4x)X
zH#ct*x(%8`$Hw+&DE_fg%)@1u`pN9>=QR*ewS4fvb9F(Rlfl=e)>wigm2Qg3R+O}|
zf>pioN}m&fQ1(@D<HRbWH(!QHsIZD6q(2=3kj;S&ShxX&bVQwTn$bTt-;eJn+rTR>
z_sZlQ(9;Wd5RnN_^DXvdfg*ZvVr7@Yi?Bz?g63ytn3<T0i`f<D(fklpMX%L3xwz)%
zaiRu8tR?fz&Fdwqe;61jf=nH!XoaQUyZ}K0R){U2pZ~hM&6tSoY%DF+t0hFhGH*7&
zf%@oz)M~~u*kFVE=dTo91vQ<k!{5s%mzJ8Em&KvMB_Q-b$YXsjXc`ZwbFXrj7R#Df
z20mZ!XDp>o6Az*mq9Uc~9OA3OJTHS}CnhE^HJe{=HbIekIM~=QVX@Xf%mMREFt!_?
zH|j=C7RUuJRpygn0;c&MLD})7ngR8Qi;JF~x!Hg1OPk<Yb1HvP4fMC)W{100k1*ba
zwlr(aTJ@CpN*mcuwG#T~C(QgeGcfT{G20)h(%@qBesYQLHDP!>VO+Bm=vFN*aAznV
z5uLe;-+-S$jn!8q0kn^EizeSUwY|8DIeC`J(!c+2ko9;Q?<4EJenyk~3=5fD_g_2(
zA=YXZ@_*b?9sbiuyD+}Uuo5(?;P5@lDtimrZ~=n8MB?f>Q$NupQ=FE+{1GN4uCjr&
z#Zyy=(sQCgh92adkXKOXx?%$dHTg-S#0OV#sZ^}VFk#!PyL=p^IsQTx0irosn;$Wo
zAjG{wbeY~7sdSz^i8IsZ<6Tv?EM*1+k%EX*k?~kjopFEk7Go*dfY&a}NY5G;?^o9)
zk!z5O_UF%^UFjtazLT?-f;|vzVfgbWB?#C4n$Ah_y}kv0gYBX&oSW0a>*c<#s><x?
z@p!HTm)$y&IZt&Wt<f{cQev<j{}b1caU;mEzGurpO9-M~3HiOH$7iMD`|>5gHTkYx
zTO%Wp?elX1H74V+=u^Qb{OEDXQ8n`ga)eqd^KU^Q^$0X{mBbXd7J1QOX^|5DF`&vP
z6p_lx&(DvKpB5hh((WP%c!^DihhtZKE)o9=U4T<z36&%clRT&L&=0&(B#5BU>OQzB
z%I>E#(~4tN$yz8AY)H}ms@HjGAEwq=^VFl=!JRs=GbHKZ;7~(X&^^K`prQ0l!`c%}
z$9fnMU_Es5&ENipieP55Xh#q<H<kKK5M8Ecx~0D_YM3kjsJ77S^4qpa!)ylV%ZpAl
zOeRZoN+xUf(`QS)@=NQ4BgR0HjjDfrT4_Ml{P>{i{L+&eWisFUu84&*lK#IK12AP(
zmp@vZw0e4-=7&1yU0W7gZfGf3ao;sS=3D*^7xcw>Gj)rD4PKXJ_Ht%(JY*=Z`}=HW
zO>R8t@uGEdYI$?KBn1vN0NN!%qIONQfn10*JrPXhZys4d`7TvgbOl}*B}Z?v`SVdc
zSUMAC+@(=+<1z(GSc1iBEE!Visze#VC|{w(BVQ`xyfk^o;bDI0c3;almgz2vU6Mdl
zL9UKye^y}PLVKi~{$&x3u?(w{y0nPc7>km|7qUEja7ejaM(JULXft$p_nPcY_DEQ7
z^!4(uTmHe?C7D39(?`>3w_Qzd9lw6D<lDc^LnJX$e(J*h*)Yr2&vGz{^C$cqHK~+g
ze3u7n@i*&WAOn?V%N@b|h5{-SAo9O^r7oFU^@z*~2$pdBaB7^h;XsdA_+Qo5e;TNY
z##D4r3WtEf3w3YHj1reGb_&Ds{P3jHP(f$+hIt(Xdv5h^Z93QM*D`>+CH&MTq{Ys^
zP|Yx(3Har&r=_4e=bz%)@?fI=iv(SG)uO{%Dw&gNvqrq-KVXHs^FQY*sGp-IGjk?W
zLJ$4<oxsJrd<~cEAn*L$xw9AncU%@WrTAq@ZA0R}APSk5e-OnJonA{Ni+fMv)QaCi
zIxgY<MApOFJ%?DXwg0o|zb4pkSHkU9|6Ti0r^BBq@z`87Bfct1vXG>^_I;Tp*P`AT
z+Rb=Lks6Y$4iEUuSrw3=_?l~```a?6lqkctyLBEq`esb`mR0LnSNgT)TB!r(TBxvD
zxu=sKEEccpZn{L2-nRF<ce$^UU@NPJi66V(@s30w1|eXb78!+AZkzy?kj+Jy`#~Ar
zLk@qdlDUeZLHQG2;V`gC>1dO^Ur8&O(1{p$!P}L0d>VC`3yYred*&dt7Cm2&+vUhw
zG%S1~mvh7Iuw5&>i@uT2o0V$IEvDSz;WvqxJ63J!Ok`|t8m9wE`byyrqq7OpEFSX5
zr=K;j|Fcjtzwmeq<`L~cXn6>78_Q#Mn8vzH44ugK85ihmwET#i2tJFz1ps<A{-e~i
zda%-s!)o9+9@&5Wm3w_Z9w6XRFH6Y5_V~k95eAy+0r6tm#!OsMLrKSaR8I=Z17Z1I
z7%-i@dr5+#jiP{o`Rw9a-7VoY)fS}9aDQkb0ETRw3J<&LnHLN|&coAS^SQf*X%n+*
zkBV~mP@i1<{SH^~aFgc4K>jw=SElrW@WJ^T3e+7IuE0HA^BE7f&~TF|SdcrPvKqCK
zuu)}#X1afIx?uL|`4gn^=fF4ULCe12OWK#fe|${)vvvQ^>%dH#N~n~;MI6WD)d8FP
zW1Ru(+_;9+FGT-utnX<APJFC(8@a}NVQK#5BxTo|mxsX}hMr6?2d@3Qtm5<3Rc#}x
z{x?Bj-)KygmRFK;f=I%S+^DOEzVqPr(EH!dMi}<`Ow~zuF5QWo^?3!6S19R8)lYp(
zRZk;F!AFCXX$z<r_kesdQ88Xw4hBWCr@<;Qz@)3`*=SkPxYqdrsi<~@>_~Haq=V^P
zYT7pgBH(}1O!g_(S~8McOzqEh4h&|A|8b?gY7v?b8Rzyh<)=Dq<3cspS4U~o1xOCe
zHK!f>sxV+g(l9NFWsF>ujR|asfXw|W%Fcvj#~oC}woG^0MLv))1O`Zc0a9P7`L!^D
z{n}K+h?@ugn%L<u1=5g_+Ke+3|LUIHWzYlhTMoB&Y1#Ti{|f>d9YFs)nrF~cCGcA(
z5!47ScmRsD7h~(2#`xd4*sL8a$!MQG?AP(l7;gE3;b55~1y3NjFMw39_c$~Ez@AHy
zl|cGW0Np7+xB<iqe&lMe{o?W?3MdCXG~fwUymOt--TBB^+}Ia{b1^FeN5dM~SeN@c
zVY3z==;k*{=7z%3-~Cg_Qga(FU;FHi2~F2&bHIrtE5=R^FnN5`E_!9g?X5vhxsEqT
zc<@dZj#PF+MyfbiMF0_1qZ?~tnbbjim?y`;(h@|r?k;Tc2-Q<#Rg<xl*od<|OU|lb
z8Q4Dt#B(l~`F=v3;HdU|lq!S$c!1@M(by`Yt3M6{>>)=9(l777%y12PgTwVj*-LC0
z8z#izZ7H9m>_1XDTqOc;LIX;`J=~g|>Id}>=0Bzj5V_%@qz`RCBiA)mnK?#25C-^}
z#`2k!8O@k0oZfhm$7DR^jVD2-J4@Ipbv+8Ovj&wMdHI5nM@-TGU${Xq6$m#lZ_C~w
zqOu7ZU~$&-_Vk&2=<!MoofF<eughrHl~GJg)kSpgHwvHZa^m5&`bx``y@!SO-|=l)
z7bGoLoQFf!tMRekU2PciFaPWX+te4vTr%nm>y$2_x_Sgj%(%Ujazd`j!|r3dssvP5
z@BFQ+b@E3KCH^e)xGbC<%(XWAChD1v>-e12rPBiBWyWMG)z~Ba_hwn+^V4*&T`ASJ
z@Ni6jIwbanyeMe%i67frTPIZ$pR#`41Qpc)+hkZ7&GeYZ+Q+k`#A)Cxb%Ef&k1WAb
zgYnj7)(Ih_mm2Mv)cz~p|2}L$0`l5Fo@SZ~fiyw~i~lLTp*wKOF*UH1=k5f@1szcN
z|Lo8MWG;@aw38cj?|(!5`fCcogHD^XZfhV2)?3K%_8H$$lrCu}lP`lf4+ly8X=UTH
zlnMUzi9X(kQI16eN>6A{xUA#EGO;HE1VC6r47`8<63}Uz-26KrZQ&Iacj0kG5g<-F
zm7_k27=}ES_PirJK`Ypa^_)H<ySmJ+hzkWcfeb=)pcsG2Dp(TyCdzzFh_`6EqE{$E
z)Xrj-VBi{-kJ{EGxCED?4!fRul_)xwEIXWBJY{d~)7$Ky8Lx^3?2}v&CswePFb=ae
z3-}E(&+DF;6;pFib%@SjQ^bxyEswIe%3b1vvfGUDEsUt4`7*NP*dDLNs-+4;acDuN
zdA>(w$dxb_h`Hrgdt(_ph&WH+CyT$w6OpFD=y>IHaR$b5pOek&B*jW)M_P5Vew7PR
zJ<9$qGSvmM7JhO{2pl;r7~r&cZJlUZF@YR9aw;m9SvHkv1*aYy`d-ckR1K|Qvj{Z!
zEnL|3`HI>9H#FWvij~#9JZyh_e3<eRvl<0BSLeO4&HInG>#QHfC-j9Jqg*jZ4P?{>
zpV(_%m=<zBP5Epd!>&%I!v0{{f^g}jR~duH&s1c~g=TNvQ2J|cv?&q11KAsusK-xJ
zUYE+~R?56-wBOESl2=|QLx1H*TUz^-r=_J!M^gfuHf-$t{4z}T;T+GnwSFq-zgg$<
z1k=kb%d`dU?e4PRx>51kVul#klz{yL<tfEUjydQRm41s7Hv-YyYCnJcxNQ9uttSm4
z_0te(R8x#d@emJ|n8W--1xWE~Tr3^X{kncIU_I$z7$(~DR;bhL7nY0|@3Y-tCxHSS
zOb=y=A2l^KL7i-7=BL$sP^N-$?AMC2c2MzFtUPQ|v*$a}ExeYj80#DgBG)xX{^H%u
z?0M8FV%o$}m36hdzBWHrKR^UC47TKfQ=G5o$in0#5x%FA(vw1RRguOwEBU&;OGKD<
z@lo=HYaLo0{%2Nn9jFX2M8Zq){}F)L41yh)E&~-pHKxZ}wc*8-(pFykrrum#O!kU+
zkomuJ62L%qdW=M6pziB`m2TjgqCx*$g#T1m(9u7yGN>B-*9-ki&i@mgkpJUr0{uGj
zzxaah)9)fg(u-`}10S6=a#Axy!OMI$Jy(mq<g?oE+`R~7oK5K4^y8{QJ@gad9U#HD
zZt$_74`G{r00XpT0zL+r4&Km1Il}>;C&6NrUw+jbU~(&dSQ!!uFU!Y9-PTIo6r|0Q
z6v^_|T%GErBrM<G-(+xEEhna%jM9Jop=Wu?{V2+o|Ax;&d#LPgc)<@#vX8qdEc2?z
zZ^i$R3&HM8SY<2oLoY|p1{vQZ#K%b?VzY&?H0LaJ(g6;iGJ|KGrm^a!K<1?<1C3o`
zouDSX1jk)QvbwViy}nD&TBs~f7t^g`}=GU*ttW-7&-z*H6tL@Mx;o+Som)s>aK
zet5z6FlsA45Wg#^LS|`_J<^9d5slh?bsL`<PlM%kIPcCk6Z6)!TreHYE!vQ~d+CpT
z())ZGg5Vv*rHYHq;@wrGS#gw7;KT0k2Yz+^c)Rs`p;vXC?)Y1QDq{2N<^_~#fmd>)
zV<v5OJtcF?>hOTV!<Zkv*<6j-1mnxO^D-95!+#Sq?LhsQ;W?c{WU-O>Tgpbc((+kW
zYig!zRy;-ZBRVAp$8BpD37k$x+vDz7lQ7I@E&fqux(t_H^8)SbPjj?wY1aM}YoX~?
zO54h3{TU92*(i{00&5ykR6gF_ZR7ac+bJhYXuk1^%kljn(-5Y<^k?r~9%l3f!Wa=r
z-32tJWC_+Qg2}naa6^{xp3EiwARf>VYJ*SreV;RGX(g`S!K9OCs$URn;Cffnc$Ew5
z;c{?6@xhx*?O(ZARtO28->tN!^HE8TLZ>KFH2E^H3(8rqURUagg0;53f82g1A77dY
zl9?iG<UOy`R_;Z&;|{`+S58&qHGhAw8cOkQUXl{=d7j(%x$l4m!QswalFN{LW@--=
zN%I>5T97&Bns?9EPwQ|nePbU<RrxnFw4v(}h$)gJ-_EGs9^xd0(ajQkwD{UvzQGOr
zTn-oVtH6+YZ~5hA)^+h+>ouh&OhwyA(yU2oZa}O^LFPc@dc)I_;{ji+?tvZ>-|Qsj
z+(=Bag~K8SDs0KcCS83iIG5D1_3N0CweU@c6zyQ;fJA{<0zm9t6X#&`budfZmP
z>d1T{kfWNx!{qJCj=Jw-8JcZ4H`lY{WdoBpm!xp@amX83KGFc^@*IxiWO6V(2eo~!
z9YMdrunPU*a`M>sxdYrvA|=^1F}(f#qt0djx4g3+o{tHkU!)gi^#zsWALl$|;v#Y4
zWi?u=xs||L*Ol5x4A{I#Ne_i@xoB3z!|6<kj3YNMIWpJJ*y&hY86WU#<Ef@k>mKJ#
z2c9mpH+G_`IhjQPM-6WV(S^Z8<&A#=_SAnu_2@w-^z3<0On_YF{O~22o3z=i8=6&f
zX@J&KVJNuer&rUx)v4jfay&TDd}_yvw5VG5>I+EFOt5YtsC_O31(e>Kp&w`^tahp&
zZMbe@at@yEVgn}e#{C1SyeYPPtUG6>h$8*2*%b|8U)o1HNH(|#d#WxKqqhfZA_yCU
zX$S<6?`u+y2(R3QKEwGaO+Lt7Qw>eqN2`a=wWl&L1&o#zzm1CgbOo7qo+q3}`}?P1
z>9T#rBJ(2%OXP`*+7JSVjF`&9$~%O=U`K$g-?b$Jp8%Ob(?dzz8Wa6i{`r#wwUv1e
zCNGfZ9f?{~y@Y;mU|4xePkVUtVSD+0Y4N9$bnyf&KV1xDuU-cJcz6Z{@3g#fUzgo5
z;)RrQ4@TZ^uMXXE{r&T|sCE-52qRmP5D)^%R5LEL@GWu#JpGD|B?E$knwsW6@AE?X
z@E`<`&x3Yn#b{Lf-|K=d(9rng*6UxU6WZMasd}BCN5q33d02}w?|KqPM?E4AiHnb!
z{OJflSC;?|L&2+mp!8-7Y^IF$CEC^qW^F3{H&k?nYUSe(2I=X;#f#~Cnhf(II?3Lz
z9MOgS!AZYS)NU*|U$+?Ao%loz=Qa=+(1?KM>T>B!>)(BYG3yXL#zhtO+v2#4@WM%X
zsYpwzxcj$bMY)HNDPe`QTie!3=K}r!XBsMM(0X=|Ap~qmn<Sv%7S9MuUPoEnvNO+1
z3r%TlO8Q+64sc<<#I;77w|JMv3;DFxTCD>MwJ}cXz&rJ#MIYX*-VayP<7P@(d&N0`
zvF{uePACc2#Y>(H>Tp%#5jqV&Px`j+iyYqUxM9O-j2YGsGEiOC=Wa@R9_OFZ@I#)?
zw*$Wkv7qm%+y=JTw5bliJHz;?2BnS_ZCM3^7HaA-)W>+W{FxLP%n&vw)JD;E=3Rh`
z!TTCYEC0DZwoUtXtd52mUElzUzY4|KQ+XQYP9}}%(0^kAhIv$|!im^y&0vv&P%H7^
zj1!FYIO;FHkDduWUr2rsZ7D0tvO?+R06J|p<!hN+tW&$SOwZeFP+oerY)g}0SBCx!
zv1h2*BFyu-)(#~u_W9{+So)>;@aE~7rWV0B-3WZ4`M0!{dfIh;s|UU%%-pQ2l6;ZG
z>7Qp4dbx^>S`e<tVqR$-vop$S?~X;(Q>J56!B6UAk2vLYeb2L&UtR7p0<E0=F{}0~
z4v&u~XU*DktPm~FZmYvm<_ir<U(C8i+oNmA*Kh^q>F1}5)jb>X&t|TGNiFc}yMeR!
z3EZe4W)pQpRUh}_*g-k}ZxDFDiEnpIzry|==&>oCPJx<#Y?i?>HfDWg7aiqV9Y3Vb
z--xnFi^$Wbym^|!e$Ix#^WALU585ic?!oA7H>rOBWmS^;zwqPE8r~<|xE~BOj@(%x
zXbc#lm#XRK<mJ(RxOHolChNStigsVUdAx^(N_l9mH*v6I7*=K25C|(cLd%R$H)0!+
zk?%WJ=Wn04H^pD?zQbA1_cTKT9us6u29+pITR$i(%M?#tlT*p7PM~s{(y3hDnhrf$
z=Zy}VuFRHJMhBsNiDVwsur&0{K8j1ZtisAH2K{gl71U)#1VX3n+XT^UHXYwwcC`)+
zIWf3BS_XVw=X=jERT~i(qQ1^y9%%Env;HVqaKuhqDY;!{gzg*t=&XXFK@&i>?z@}J
zbnR!D(5MHWBZYCgxH(Uc2=}q6Hg5`}ta$R$+-ZGN)_e+waMHoi9qpYO2r?#LIuD?2
zxONWC_^7{e%V^&(-+?B^LB+V>L*`J8Kj>pLF|;c#v49*+cnqJ-`U=-3cDkObM6}Ju
z&J(VgjpBY}He<`o1WK&CkjW8BQmG)&mf>*X+A?=v9~hTDSXo>;fiD%axGmzMzVOjI
zyi!&0w{s~X|3k^|E+nZ>BKiVU=Y)6gxk}M5E&VP8w&TRvp<C4dLhV!}dQ$DC6>2|B
zjNfaVCi|+W6RhKD0Q7D3&{lDgt>hFDJ0tzG?RW5=lB%Qp28vaCknA;}#*RJ=)_FQT
z#|=?(cFcbK6*i$x39PoC$9`}M&&r`(cI^@pU8gQWfdu^0JF2a9;L}|*s#t>h;NAU`
zGl+BrD|aDojZi?jEE44}gbdLYqG>sr$xK*^o6l*~pZ>y{raUVv!Od*g#3tdmy`^Yr
zgwGwMe@frZ66$7=#bq`6JAUgL=w}FN<fekTUj}Jjdlh7%>8XvXPjXp9s^c<RvS=e1
z2y>efb8WHC^>)sLUp(Zl>-UTm9+2&XjZ4FF_CA)E^HV1^CDiT*25MPblekzX%i%ZD
zesI9Y^pG;v_=+Llc?#i>M^Hw~7judtK0}|=`m55LkW&*83_Dl+5+e5tw_Y|<+KSD6
z_nZU$tUq^e{nGdXt@W1Af!qjbH8H;ia&GBwFN&0ZdU=5Zdm1iA9HgX1Y>)juOBqJ7
z`DgW1-eG3oh|V%i6|8bMlHCb0lN>e;Oz`Yd72c9uIin5^O6AZ`UntwA_()E8UndKp
zW^cKMx?^S}ve`za6=YPD#9b}QJe;HulsC*)CpJBFQP54af5>Zw&)_i}E~L}?_UCiO
zUPphCZ3qjf<VW)&pDP$;j*3!XRJY%A80W{hzAoOmS5+UkpCcC>L<P8;eNTV$y!l?7
zd=aOKCW4E~yXzQl%Ag>-q~QWt{1lJL6Znznf?*NNH87h)37k)NJS}PC@%xjV3d}(j
zaq^*S<gQnw<K_q#oxW_jc7oCLFpNT!u=NynYnhJ>m8#j3z>&IOWK5LMKVp!6>uU(i
zD)ohia{D5nZgHjZ8JK<A9XxdX$rWr3vWRB@l|w`Ukx5vAci`7$V(y8{`Ff+P=ZmES
zOm^WOqV7UXqDi71@LnB`N}Bs+B#TA%j*QUhxO2?y)EYPBZJUr8_*$9te&fyLa}@Z7
znK9q_n;o!e!Nq=OlHgU^Yk~Ca^ygOsft6Ko%lkep?$mbPK6+J0JNef5h#*_G6x!^Z
z3Z0Kaui)rV_m}P2<zgyp)6-rluF({NW82R4%dQ{bcF#AVqhCZSeux!0m-R^W?~Be3
zKISB-CCQ;(><;5g1?eBtx3j{3H6IQ4Fz_Vb#%n`D6hOw)=(p_OKRRE(=j!I!_$<ks
zO=q`IzU*yl*Ug3jB!UhnD&{piD{7NMaP>rH7-Q(6=6G2?OWZdbb8Vh=I0YDI^+%tU
zP&l83zA@czvdF9-_v>?F2<XRNXrk|+TL(tcLjib0#wEBFBsG0KI8W@_4xqa-GUnHP
z5+~5vW4Ei~$#j?9?p{d<ED)D6ZfDe(C&~3jJ(m0n`5NCZYeGZp58(TxWEb7OigGcK
zlJnNY78}(Woz&m$^etN~#P+3k?eypb#lDOtGssJ6gibTLN*(4{^9k!TTHps3bv({9
zKnQTeUGOsqqXi@p9;2WOaIT<hae0$K<GP);?^e~FimZ=B<CG@?<Kvq{<)MJ(2Haj<
zBhs9S%JkK?UX?Dd{S_K#Xq*lYYnZ;g%Ft^Z@smUmb$**<FaRH|?*zsju!JP!nI;`i
z<|w>VLiHIZ<ApyqvZ_fHN+x;IXDrnr8AHm@#5uAfYwh{TV8HNnzYCVr#}P5!Z+voo
z_{@%@*9R4<kpI5mZTS*mX83O%Rs_ENUX`?z1$+GiU(;WGa8z_vWtVWy_cpoYu%jM&
zM}c?&4w!^=tj59jwH+z9PCfIHwzLR$h>jOBA}fzbu3O1Qz&+3uzs73a-?gb?SQc}x
zV@G@cn#BS150A?kapm=<^y({hd*NZfka2snv8uVuZq6AvY?u%o#S5(Kc${V!5Ag}a
zB8=Uzx2&OM93Rk65PnSY8fH9E`*7IJ*@;VC>oIHf9;l^tIDpi1eF}K75}@W^^imlN
zZ}NM&K4iEbSw!a>>9&be$lWFTc4vHHfoz8j=FaK;nC>y;jnkI%0{b#FG-mfyMzEey
z>)Cv~6U@7y9^dXwVw}Z*54glki@&d6z`-JYUKu4;*38SOCM`3R<9gHIEnmPoJ7vwg
zNOR#xSySCqv@_V`g4(lohcet^pn2=72xMK;$>y&zGCab@#JPTojX5@%+fBva?;SS0
z$I0R<(pYg_p4o5ZWpWGli9c_hgX?D_NU7H|+QHZ<-5eWON8nAw<_{^*0$XuY=`q6;
zxiH$l=pc$%)rmYLThcKE1565a?L)vNXk1@T_q>7@&QCM49{WV+jc`ixKe|D;M>i|d
zppNisUUF2ppWAS<0p>cN!!hwrLBJ_Fn;<D_N1LMpBHUcu1CpcsIYEQr_J7V=zo}r%
z&Fy&;{p$oA%-0+dEX?tk!DvzEkbQM37Q{pXyW_c0mDXHXgA{$yc?V5`%nw82;d~#@
zG$-04Hp9g)a_RItK4GkmRbm6yFaUr%Q5xU)-ML^V#~q)4h6Sd99{2;e9G84a@p~h0
z91&mVfx7Hjgb+8<{TKss*0t_-OJAVX5P?N;tk||oj%$hNKx@OmN{vkGJXx!uOH&WS
zJ?Om<xR%bg)7$|&cK?%h`SlkeaGoHEi0B}0)ME&zw(9WyPn)R&79}t{6zH33O6IhP
z4_h*UP#-_7V;>Ser5>#bSFxa9x9|?WXaNOi&yATLcW?G8WYFj{k(muM?Nf1bn!Bi`
z3v4!nQFMxT&h!!9DY>y2D1zREWW}rBprn#UNX``OQ&O><C+j#_J;`yH*7fO@@SleN
z0v1FP>HR8BzP*wm8dTI%d5hVB6R0mq@UqkorhMnNaM&UKQlL!83Vc77PKT>o(={dz
zr2ulJmF{^qH7zScL=bT#_s<&ACt~rYphNXf&tj~08#P|P8U8efv%coQpg!n*uCuDP
zwpoVa*g*ueNiS<OoyZirQ!{((ELK&6BYZ2qv0>n1*)K>H|M)shO8iHdND@BP;SuHY
z9wQgU8CLim6kcFh$KxD>bV>dXH`q+jSjs3qq4~T8TY1@~s6Srf=5#O7Up|%f<)zB0
z{vdX~bBX^MrE+jXH9(oNr2YYS3w%B4s;?%Mu^grY19W~kT34jK9L<=v`fB<dSG?p%
z0;?hL5F<_|Bk@FqgbYzJMeLw8lyx;UB$54YwdjDE+SWH~dT0W+jdUCDo$LBoPa%2;
zJ&tlInSAV2_4f52S%uR4rv6H3HIAyl<T@?&>Ha1z9zJLp`i%XWQOuW=KU*lzYZgag
zn(ZTP6p3u}>5I6DSD||*V@eMX`9UaPQ%$8N<A$>se9|%=IUE$8fC#<Tt=ZUi<}X_L
zQ(NM&^)03d+jD<bk3Cuv%DBBLJ`C6BK}Du2x4nTWu*aJma68PxRlP+ib#*u+mLaQE
z{;`8KeIOQOkY2b9m3aNiWbNu^9rMv$d7=VaFHqE?jT13?2UpF=c~SSa$%bS&B}>WE
zQkxs96ojT`k0Qe3OH>L3$^|Djx+Y{Sb<OKzJ%`vJ^wgWf>YCgJ<|cq4z<<%<zIv~g
zP5rc4$qAkQy^{p`W~%H(56x2a7zM>z2*2&m$X1g*aRUo88E08h(ic<+(&sSkW^<uU
zaRGvX?8K+@HU9I1->k6;aXvS*e=vnwPwQO0miZ}YT{P?hd1kx3a|H>%l)E|SV4&-!
zgX)?*e3a>=U4zq(dHYVMm#O@>UYOhI)?4ZXW=@Qoexq}wAz@?)de+6YwQL<S9o%iT
zW=Q_&dk$N=-VtTA2%;1vkbHA=fWM3R!^mSv4XDOjQSmCTsQJ7lbQR-|AEaxqVbhHf
zNLhwOqWAH**nh)Xeg0Vy-@V9%>eH{h9)>&6Lotuc-PWN8n-kVSbVS=`Z^eofXOMEt
zziYzpr4%5Z?Yli4&7vumj%&qi*mXD)M7Y#~DW>B|Z^r9Pl=axZKDXs!=EoCC$rCQ>
z#1VV(YYJ6n66>IBYP$xKkECs^?M*JRZ!B_aE8WK3`9!x)p);rUyUwRpDzHqksiC*d
zpHKn@De^M&buLmVQ5f}fTX!}vOBvPK+1B&d=8G^vCT*>@Xmdv|h%Z0kJYS&2R5F~m
zWd^8L8JXiPP`}N406VM-r%_EMmCBsa9hz75)&Jd7wiq~2eK(p~ImIN5=S#!^w!?}Y
z_VY|Z>#Lp8hktbVS?$M^qety_Cl;97g;Xn<Ol9>a1W2EYLO1|m!%txdr#<JZbJy$(
z(9ntO1sX0yvIHBEMG;Myk6(^2CRIg1k*%75J-lG}utONYCcHn35_`rL;1vca)y7fS
z@qQ9%WQ8OLz9IyYS+tj%^YciyJr`=bX128zk*2>iwE`(=$re#Y4qa4{GAel!7&wo0
zPJ2_oTeMh3@aM1~Ecl?3@YcGnA{Np6s7+0tX6?@>@U`K;O%ziaE#-uM=hfYIJT2%V
z8R$dg@irR}m!RYTZKt5Uqwn)uvesV+YL;QysJJbcPfMr!rn&-SV#o?IUf%0_6_nR{
zRA=tT`ERpP-f+Ndxji|}lc~U7?@Zx$Vh?h)haZVD+2@@Tfj<Vuwp$-fD~A|o;36I(
zF!Z%Am9@yQGujL%3mTKa^E>WG+DDXza4d^LYfm~V&GpTvpSy_T#LiefGgeO5&#oC~
zUov~sO&P6uhRlU(-!9A?Ia(Kgkx|fFH$?4AWGyWzge+KcMc+#p7v2HpOst~Bn`av6
ztNmd)0G$<%_7!jZE`s0Yv*Zi{)A9HnaUBFaTm+ZMB9xRAz1w3ON8Q~~)5&Qr?+6`m
zj-;*X$Wl^OnpY)Yb1=?-qJY`r@>G$a0BHVg^yV0>ul|?`nWni-2%@wW_615MsBOE1
zCP&Rr_#DvrFt1ZJ8!Y=Kx>@<ngoozWpW~=B@NO~BEi+Q)AKl05k7UcW*e8#0sc6ql
z&K721O(1c%aNNj#mC%rZeM?Mus#>BSJfy^E<pIlFkmS~|NNvcFEO{ewG;?J{6(b~!
z*YLo^XIW6%D<8wu&<eyln+kJtnT-c+pl^~h_8)K0FHy#f<+4ZEvx=z4JlxseRXL@E
zCDxV=1DZ+mUhw|zRA(7v1#Z`GK+`Uk7w#EA)!WT|SQ6LvKL1F*4Z~&?FMK|2FejmX
zdA{+jN*szg>+fg{o!ctU$pmN7UIy_7o9u<jBuXGraOHjQ)N+Sh6yL%u%pLmvnRDK9
zz`<gd)EB@zml*|)EL`l<g>6xuT%<9*9a_Pwx6xsJWzWzAzZd^j2&z2ZKAVrouMY?(
z%?KB)44nR=@^W+ry=`vApg@{if+`OO+26q{tCt++e?$-S3S@fR%#eg8laKYW>pjC;
zMt`q`AVXMrW}u*cL9e>`dADgb6YA>o#Wq%fJDs$#!TBuZyn>;+ecF1%g>S9>YnRdz
zZTR}UvM-OxhsXLv5@@y`rX+XZmSX$--FD4-j;UyS_X94gMcUYRD<_TX0vAX*n*kAg
zJ+lNyH?8RaWALB6EBc=1Sn+52l{6ZD-&`dM>PkokXbDNte{DmAs!d?iD*Lz}EGrkA
z3MWdv9Cyo)z9QkJbPA$CY^iD^AplL`Z&Ho9<z=GfANVfLpAH`%$V=i^g0FvK?Mwr!
z1RAtXh)wI6>>B*ATKU01qJgqE@5|G^0Gde9WNj<RMWJe7AWLCEb$*^=@lEc$BNLo;
zR}1ldf~dOops)XeqIjPwhFcx4KE~LbUzl40#Xt0btkudcGeqg`M?o2nLZ{;!iE0CP
zsnYwlRu6+E(#=h(h8IZ-5B<(oO#}KJKJO1zpVe^5x`=nA1%{afvn%zXM2+Mmtfmk7
z*Bn?xV0P+q^)(`E;8v^%SMUf|8l}~H-(nv{KILG`fXWpI*3Nvm**L#lH6gRSMlg~2
zE`!U&85f5x1fZ>Mk|rK>nFF-G5GGwq_((_w3w2<0DYQOj2B55*V~=v#@p#o0ku@D~
zh1wt(`cOVg7t1A?64xl`Mk{_id4&bMqWs&=6R4equeBwzl=p=M-wAA}s@kLMsS4tp
z0)aTn^6H5}ux&<7U@<0$kDRTJ1A+&qzNM?8J1RSS$yy@vc>J0h9y4`#`8(q2iq|v=
z89%F#W-ebhz8MORK#*qPfa(Cow2;~_FDDjXVD&JnQ6NzMRl#b#g2<i&-FdWKf0Crr
znP()E7RTre+FUg|=WCOU7LTP+=nc7td=;Y~O7mOr=fC+}mFTA~*y+FM-Z|Xd+}Wmc
z=tq|%bYv{d7QuCoZ*ZKIbhQvW0O`uBr<A9wl6lrlySkg0@kFt1*^|5(61r~0Nx=<u
z1WlA5)0S0t@0@P4q%v|5q|uhm^o33x-LB>%9e|}q9qX*3q9%{=+RiO(_(r>VQ<z6C
zRNhS{x2F^poGf284_e449eGR<K2p&<54}-adBJ|!9Hm-s=cTDl@NZY`N4`n$d$EFB
zUH7#n$OIqzognd#G&-urTrusap5s5<=oFuzU~mekG>tTPO$7#u=7ynTsi+70s?IOC
zH1u%o(R;JP&)hSdnr5BPILE{5c(WK3*R@w;l|QSvdk$VZh2%?G7zbX)T16no=F>W_
z>@<$d)qBfK+RL4I>!obinrG;}y1XTy6@?0Dy_PPwRQFxFeiB%lGu2L97>&yC@=6Oj
z9t_zw-{6y8#l+JvYwz<S!l=S5?%N(j&6_qCcJ=rKlBt?p`2yE!pD^bA06NkB7N-Rt
zk51>GQ56XXl$`!Ps}@){Qcfx<%09(58NU<R%ga2zFwV$_`U}}Y6c@Ide|R$y8}T4^
zDWI3Bkz!mOvckiSc@Oc`|45BreDJ2@@GT7Q35<<KTqrYEZF9F}-I_h}FFA4}JW&AE
zJZ@PUvhNshIbKF;9z7Wrns_3D1H)6stppQhbLy&KU0?Ro`kqM;|CCC%w7XSa+Mule
zR148ilR@0i$e0Ts$4%sdAIY}yv`{bUoAX8p!!7r^{26ogp(o6?rdw!uV{d##cA-~2
zZb58`)?lIS-o8>zVxeihHbOlWb#T6inV`x7J6Kp~h82-^#HyeaT%b@%!}8MOU`&6l
z8$WB?r(9b*YwXW;KWRHMT|b(J>AAI+P=OF-i}uuYULxo`ioc3UHSy_tg-+c9FGu~6
z5h7}endsmCg08x1o6ia59a&5>nGnGqT83>r1#+*<Y6Dr@b5*=S{2G6=Q7sUl`*SjI
zwBOoR{q3kok(eJPAK4ZHI2n-<KnX$c3M!1NLZVgS<It4xPdeOec8?Mdg}T6)X?BYg
z=SLp!UnG?coViz8W_2%>(Q4MCRy?;fQktCnOV_7UZqHMHsNtoMPMZ!k-{K$+f8%DV
zLXsFW)>9PBtZR(D8G@C4SnBh3aE)dW(eIu1I;ikpmMETB^dTSh$mCF%J|E;}14W$B
z>(m)a3DveWBJpJxmr)UgADwAt>Lc>L{K_~;PF%%d6Ob1aP>5Dm)4aWsLZ!-NG9PLm
zL}0UDTfd8bb1fU1bl9;mv3W@zTW@>s9%it1tF2j=d@UENn(^NEbXd<wWphlM?1(^G
zxpq`cx!L#Z#QWgYASTgdE59QollqRVi?d*Wo%FN0LD^@trY|7DGw<^D(Tqwd<JrW>
zip`4Ws1S`Z;nIL!F2IEG)OVyq<N-AFI%Rx5lK(9GFl|*+CM2o_?n@h~M_7h`s8@t(
zQ@L~~M{ML(c4Z@wjC*#m-*r@4?;-0tc72n9j};_`Q8#pPY&O(r=Qy_cMKdMU=eXJN
zG4DLSub^w^5});!)S6`It<>BvHw<+BsH@Xz$xYL7rC=iuAd-Hm&si(_^p1s={N~p7
zPEB?J<$C0tzpJn5NC^0qPI6|%Td)WA%rCoFc|@pZsw34rhE?C|U>o!-2%1=Yc>nlG
zS9wAI$r|e29!vGINFTyX;~NX(n{2>Au8FVIU*VP{m!fw^gD%<Q(;B|ej`)05MSGkz
zD5uN^9(Ifkchq+IvrwomqB_PJ6d?0JoLgao^LxkM^MzUPS>YhJ3iX*=oNQ^yuU9av
zJ^J)rOtpCwQk6O<mfe6qYe$tBRKb5`X8z&eoVz;&O2mkZrNFnR8f{O&=KvF*oT6tZ
z+4~uGmEhd!{Pe7F_%aeq#GP!=^lL|KA5!YWPW9wvU#-@CqbfKTtr-aTgf+{(MC_Bf
z-&fJ3WE&-6Yq7DNG}7za*5yRvk4fLd3kH)WU|V!Y59xy5l26o}ZSlf#w_NrtWHrvh
zM7T)1u2A+;32d<DO`8}-o=78>^xogr&m2{ZLSe_UDTkk2onqQd2wxw#(Z!+&x6#ve
z$Brh|)#l|6D|QLgVh+Csh}rt{9p`xVT&UX00|1YS{9n)ht2p1-)j;M@!89p}3TDD^
zc*t+d^YQVh<ljqMIn5;r#jIb9A34ULXG{-}izL|!&c?|xEnCFG^L{++N)s6I!V4u6
z=Mdb`7kDsl8PM-=uOJ>0^YbtGmKcu5-!CnKC8vBRTYkhEIOpT}emNgEi<|UBc=AZZ
zjq70c;g$dL9QnfV!J&(PM^U|8McIr5_>MU}RH!-A6a4FN)x@n^ThwZ+XSS9d=+F&y
ziAUELA_p(EIFMYmed((Jg`pr~v`adKfS!l0mn;v=o~uTU8o6yDfgN;fveErcHQ>II
zHZwBn!#O^(<j6nT^L3Ljqb!HH0U_VHsYlb_3Do66Cc(%05|geWsZy<3?X>cIWw7Qz
zR>geEkJ|o!+0DOv0fi`wdavHEVd~B@H1gj_$b(FBFL97HR0a~HBpKi(Vz3PtCcIvk
zz{rCD|HvugP`CpLBMFig5eFJ{94P4sjyrR58;vuWBaZ|8aqE&!THSw=pYfs#)Gyt-
zg>l+3X$e^iRpZZM$dQNa_D97CzeymunKC20P6ufc=EjPDVW~Tp!a_R_>)P(m@|GK4
z{?6N{9dSe^9ZSGlPcq}WQJzgh@Do#N>C*4`K9h>)Xkw47r!5f*-&6US`a=;Fm%(Bt
zto>P&Db}QjG<2EV+HmZ}fG3JZZNTh6KGCGE2F@mf)9LD<6*yvTKqAa^mD2KmDtv*M
z-vGB%W(8b$!!Di6<gJzc938YfuaCVVrM|um!SkLLeX4pu*QGy*7_~P~6T?wc!#XDn
z(hJJ3=8GQ^kM*}O)u-_-pXf>Rvb#@j-k!cvwh)Tf<R5v5*lY^VO4H)RLaZd*3|YNi
z2Ut{6Ug<~b*BnH>S>`l7wJm+yu)kb+`EHmrC!6A2@2pv~w6U&moDydk5-yWXJoxYl
z@)8m9*E+>nqOUPJGR@bRAr8EA{*CGXa0jP!511R}Mel)qx+6u%GDEJ3(-T@Iozsse
zXBp&!6I^Kr!f_vW`lRNxjgbd4V!rGxL?!ruU$Ro%`R1c^ZmG%9*E!~}2?7N*e|!aJ
zZ9d|AGMVd^bs!;xj2D=vzoyH|P^p(xtPC&wFj@By#$;4VII<7YZ_eLV>tUcNzaQ9S
zvKU#%#8hMXQ)FH;0`2@`{~Ki)&Ev~&R)r=+X>aIbha3ZH(-%VE@U4R=hX|vTX<ng5
zO8}WwY6&>VOG0#ZrkU|p+@Dr5B;vrUa{laaSaByY<6S1Vj6l~--TcU9>GCpQ9PW84
z>!K62|I!?q-HQ%~*cRus#wl2Nf**J!nIebKQ`xvo`0M>vSbj5nFxFJ1v|>#O`cpM|
z%-ce#&X0mVC3EO_EA>mJ9Cp$+_@6%_510QuBuJFpD#hpOZ+-ob?AEP7>APtQ4frb?
z`l#%T&+Tq&T`GoW4aB$G!Q3<O;IeFG++5vskRLNwj4!0!+C+8!5~290LOI$(-1&Dg
z0`D~6diwI5neUBQhf<cF+>fZpl)0Y(0L*6zVF6`{5TZGe3OyrT8TFG$<UQ}lX$AH<
zXFlE3h5^r2cGIJAxDCGgtHs(kV%!ESQ%D<KBQ>%}kjCBc>ac&;)`d_%V)Zgr2rV=4
z`oiZW)b%9AN`lX=q!Fp3sn}m61f*^XCI&Grsv><9!qVD!nw?<ZZDQ^_AX;w^t=Jv<
z@s}JfUq>cx302x8uH$POmR}|sX0oq-M|rm7AIF98THArrxVJ?5Pb$)Mt;p718H;_~
z_-q3Q2tJm`$<;9HsK4URfLo+apM1D}CL2fOY+dV-2XO=bS~r)Q1{W%(M)l}dbZ4i}
z!$@R#d4zmu{1S_HhhzzN<d*uu(?G`SyNC!Y9zBv1Ya+<$f49BBAwY>SDBEZc(_oIr
zD#HNXb`)r{+Sg!FJdWL8aInl7U>dGt0*}PmJTKYYhlw&<iNx1LyJ6YYm6PPnJ-VWR
z3ILrD%fV)1!VPACyT)o`<@sj$x6whjb}jn2p-`QwxqSMFjq0skqoJb%oOWJc4q&l|
zE2Y)NE8xX}8U><DVQvkPzABdp0GiR);E_jDLL~L*O1tG8c6ZqBy6Yf1J%%KVE~24M
za_i5EZW4HP)Z{!Lf?0vm7GQ{`^_Br+uCzv@HahOEJ;rJ?fDmGZi&5OXmM_(lmOcMm
zrp>MCMGFKbj&h+jjLj&Ay3nJbi_)$#s;X5-R8|(&CU1Qw5fSLMy6j~h(m*FQCONU&
z$&`WzoyraQSv2BJeh?R4CA%lX;`h{d9+Dd2De6U(ZlBkV{O;*W)rVzH8)6<F<`B$r
zyhW>n<t98jVj`kTE3MyYEhEO(`-z4FUM%gB_yM9MS%fF;nZc(Ygm5q57TSn8Sy@$o
zLb5shX{ahnX~-6%4g&Y9DW>xFf{3|LTb;-|cc1`15w$zL(&Q6K-%3J<3e%`lmzfV!
zd)_ybfj;m(<)5kJBOM)CFWGf@Yy{DYK!LqSWE0i8hpgW0QE3@BrLyu;D(zl+sGysJ
zKtEx1t%v2@CfUVC>69R~6V>D`z(#)1R!_LPuTL{v((N$pph#!zi9CsG!7VL<3<k(F
zy`+Gfb>QO@=ZK3{Lck|;Z|-THs5}<u))yo+&Ji#fV^sb^99*1~oRoy1<$A8v;F^0F
zoR)i7=|eE3fF_dk5N|FYwy@`E1=TakZ$u#$n~bBihG3<B9I>JVlijZyMBw$z2GMdl
zA3lWR8=Em^x%@$vql4DryxQ|Wa|D;t;GG-uPY91URs(oJ5WL23kb!oRpw998<mg3Z
z`sXCr>vHAAZf{Ixoir-_V}eHZ<5M~{GT>D+9>(zK>RIMOg0P}9kLDyT!ZDVa{>c~J
zkNKBJB~|5F83J6i>i-W`#Sj|MR)2$gv;4ULA6v$%&qQVI-hV>b&nTth(t=S3R7H;9
zlqPnI>$3E-?<4pHq%Yn+LiiFv4?S8?^6kJFKSrZ!`Q`ttT~R?O&_Qd9N$U9U<*|1W
z$W9=o4^$APGcQAkD7*^AZuJ(Eb#f~E_4H*Uii^c4>mhh8#Q|1$bw6-GL5f9?p4SS;
zS~L&}2jIS^%Y7g;K35ysUd$v|MxbP(is?l|cnb;1?-L{!a&(=he;U{<D*QcB^i|dG
zE@4B3zs-@0tK4$1eC&QL-a~*Xxry4{@@CYlH8_w8C95gTbx(HFPAsMLpqA(RhZyE3
zwzr*=QVWR&?4EenYfohSo+Y;bWow;|XY8L|59*E^&xTXLoR^_n{hpWa=ql)Qd>Uo2
zUi!*C_hW4L)%L{X&+RA@5~`eN1~9B6Ri~dcm>W01X(xbm5UDcChIRb=VJ9}T*8$)y
zp8BcaYkdy!g>qT#Mg0=n|GMYRq}=l9*E-D^;1{ba7^8yZ-5Y2ElBldZF+zaLc2165
zUwX$?_GgN6)=`tG^P%wYozH`c9(SbjKKUV6&zp|}TC}uo@ScWjD<=Od<;Kd@3Glrl
z-WknmM-4dyitE?lE`q)pbAk*rAIhX&?Y;`5Qg^4jua9eGOb?~kP=`@aL)NA-3hvxt
zKSl5j7oFusiMO@)eRpHV%x4&UYO#bXoJd}9K%3g~6|sTWWJ6q>ws2D%18GZk_Gff7
zjKFpI56BGknLWZD%4PyFf<;=1a2_nX(_37;1VQx7DTn}wqBi@o#ajkqBCZAvM3Mvr
ztw#pdv#{;dOECPzp&u+O<dmV;Iwc0J-DAktd!T1}YAAtqs8c;55*yvSpdMY{2jA;(
zn!*em6*6)2BjLdZZDx-c`noK!9FGum2-gE`&>Vwt(UhpA=t|!`5$nW0IwC0~+c(<f
zBXv8rkipq@$hR49l26J`ac81hcRQFj5aS%WTPF>#D_n}Csid*w9*=8NW0fU9VBs_4
zG@cTC6o0eL-?ak=@RT;4z*o~rEE6RjRv%qUxsQKu3x|ABT5lSY<?43T53y>Z;V^jI
zI4=>uo+8>ZgUu%yh+tGg=|@#*i?MkBxVoyTp$KUI@nIauI8uY!jUhuoN&jnL%WSx2
ze7+N5c3A(mdu^TttjCyLt7x~!-RVawsl?EOxuJ)}VJk;VmrL^q+JOnj64ou*5Mr&1
zv$OLH#TlF{9^esK`=Fucs43`ROx=#^0TovcJt``OlwCPi)zeJy8&DOlo1{Tn(O1Mn
ziv^9;5()l~gwI<*G0UX>QvF>ym*5X|EnD++9WH#Y`<=~mp4WS*9|^p&O{wV*^*B-T
z(+u_X*vl0{ZN5!&m|mlJBqvaA6)>9TW@{G~cdoK$Hz6P8dNsUTZC&vm>}tmi7KS<G
z!@7MZqIzDm*pfBId^?8gHT2V>$zO!4-8utw?z1nE!2un=f7g<LUH~V$x_`oXT<AL*
zYqJ%;i;BqfxSmQ^{7Dwv+~O~TBDBU|!gP2!IziG?@6eI-UA}z_YGuiMMcA0R-A-&6
ziH?~t=Y&QKBBBJ!?*)x7xzV@+HKFdC7?Z6Wq#nYjdDu?Zdx&~Wn8EIA!uIzcOgh?5
zsUa5-0PYR7pa{l*g8wiE{d$||6ral-<gF)06139l`{!AA1rUNLX$rE5M9rGeWoHu|
zjz>MM1Tk^vk$2|*kG{?`tch;h;{jAaq$o;nf=F+IKtzfny^GRCrH9aa2cv=r5fDtI
zM(H9&)KC-w=~5CCkp2>SAV>?v2n6n+zVAKvIrp3|Gf(!K*&i}HYt~-tm;b{4aR15s
zpr^b<WeU<ld;2J?U*FxcDgwwPDdeDbiV-8(($clDnOvtET7v7IoOso!N+hjU(AZb?
zlw<2Y8CGfgw7AsVy6w36P*M&PgG{Gxnw${^gfQJpMR1!hGe-0*>=?4-X|?2@h1j6h
z^;-?x!Bt7gD7iZ!?7U~6CK4u|iYGiIRr-{W6jo&v-%ps-+VT2(%-Nig%=0|~r6IN>
z&gw=6%@Fv}MZyd%4f7>njp&`|)NNFEqfea9(_0-?ubn&Y$I)0J`4unRzl0w`0~_{0
zFydu!uab}LD58D?CfBe>Mz0Gz5&nnxfW7&Js3D~YgC=v<9{rd>)7_ub(toKLM!yU2
z!c`mGI5JiJLf<mPsoVZaHZ|>@azI$jg%gwE_ozhzViIDzORf5V7D4kfB;xH!fg*l2
zFhFR`&oqLKLLDjF)$q>ZWzLbhc2%jc4dIWH_j)O|-SW5TK`}+?Sz17J@3?!vjJGF9
zJSzz=*+_Np52m?MLkWbL+u6li3M$#~Ak5UGV=7$p&FVw_j7SM?Vmtp!wFO^$@*jx0
z^{_js8|2N;Qdjfz*ssoyGFx(rq!q!xbMV)NH9rdgPY+13IH-aaD)1~pf~r?|n5oz8
znW}~b4%iIqy~h-aolq5siKj~EVL~~f3H<0@>%yL&UgZ91?||eYzIQzuR?}#D=2Ji0
zZ5DBZ@paQGz9W8s)>k3FNAMh6SR6Tad5lJf&0&|6n3~)NFZG>CajcvtBkzJ%mqOqp
z{$>|U%R>eh?*pKs9zr3z8oY1Ou~Oa8@wGa`IX~n55f#lPf2!Oc&I*Zu0j^+eUF~Q;
zj#A?ziE5FRk(e1c+YWf>lPN+Buk)wbh0n`Q$fiscl}K-&5D;9sR5<QF_~4#hw^Iht
zEa4AQmBhR&(;(z_Asl0D>v3i~8yOo^sRI<PeMmfac9!woBeJ$ToA^Z&MYHwMdW5*B
z%;!%zTXhqG5AGO&m1ixUFxpwFOSdAh{z&kf$dj-a@Kr^ptNFqq0u=%c-dQIdOhJ>*
z@-la={$z2AvhL@L|HJHo=?&>F$}#FziFad7oAUVB=Us)bHqU&a^3|ZQT^M7v@9vUU
zNyOM(+)DL7RF!9zOPzAkH<@^JFfuAC)lX8QWXHEjN>%WHU-ShY|0)?zU#&JjlG%NI
zU6s$ksr!qk<7?cf|AKT`(I+>&jky{t`lBxE8mq)*n8>Du;2dvEEv*0qw6OebAuGXO
zDxDgC=~{+9FRL<Ji6*v7I&IT1D#)XO%lKs@&M)BY>}DV{A?is%>4$`h;^o}f1s#z?
z(ynYJgc2~IbTiM&x;Lv98@Mr%G4#&f(XgR(WkF%bi6X0<oYvqqyOZ6kO!w6>4Ht;s
zUwOVl?8iuIJX}c-QK=cMAH*~k<U;FRtyM7Fn&)dSc7hFh&b~c0q}Mm<jf;l|%A8Z<
z(sEXk*Wawo)G2*$sOf6J^I!@TNBG>}!c0Jj&9OsLZpm*oPTSo2qS4ZlkN1qHgP%T{
zhQ+31&$-`B&48D8!WF;gnHWnmLm$<wF8LdMwy~UUg4ML`=jjPYD;<!R?c5v-3B9hJ
zD8JLOA(go<n%vnKv`{AqglE~*;!51;rK?2Os}7Rk>L1NZUWe-N<}dGJe8#r~4Ab^w
zRZ-+dK<kE_BcbNEd2aWMDJDI>?0Bf*WA66QX}OH0a5e7hY;JQsd&jR_^bQvn0Cp9u
zYjvTy6JT4fsQ9_WvpJ8-KXmwdczQx0Kaiq>r#WUhPg^N`{4D>1dWTSth;c_h%zLJH
z$4lV8eJB*J6YDLat^@I|?b<u<rvlm&)yjfmA3CAWV@OD|tZr0cM`uSn%Ba!aTx@_4
zk)QpH&v+uDqdh}0(Dv^9TPJrNQ}U})_7aTG_OPJ-P4c5|jp;VaGDBB~uEwDqsIORs
zptM7{lG0`CmT-arGUerj)KI(0BmeXVyEH(L`g?g=mO3lXD2o2;j0T}(&Hft+$$>VU
zf#czOT3|^^amf|Lg#a6u**D?<4Q}Ts__Y{mwqZM;MD1%^W1y~}H+5wQa}(^wyil|6
z%)Mb90q=_AQfL4dGI_fWl~<An=I4xEnXVwBO1s^hm#uXKbDf}-`gDZNFox(YFKX==
zd7l;R#R3y!TVrU63R>FdJer*raqYpFxt{NIK;5J@2n3<0@ap18Um7{tiY%B|`JXQ-
zUDHXu?No6Mou=rf3}I{*B^@I`v$>gcQ5t()6Q5K`(~$;C)pU&QD%+JTO-8)4caIo_
z{GRA-9(?Q(j42e~f<RnuT$x;$omL&xdfZDN&zu?S!Qg=Mp^;mB9}+xUH+R2~);uR}
zodhm;NHSY>$Tr+cW(Yh<e*gmMt2GmcFvG-!i-K;pA)b4g6bc3X#GW&8;RH%`1PAG!
zRfu@%2RXoVqo(o;JGCvVG$c6%fVR+vI(6x+O_{<nq70QZaZT<|S!EZd%w3X~_i6>2
z@(y0ADu(1%4165Exqa+0`Iz#%Awkn<N4n^#ecfOruRNr<>W7P^0RR?-o%|XMio2<{
z=FY~J&L-?Mq6W7NTk8GvqsgQ8c^(|OFP`x0{}p1&MFM8hzux@SNz8N~(&C2~snqLS
z6}>bS+Nib@>fo3K<$0LYkQHxp0V|NP(sF+Z);Z^-CcNSEoS58J<B3oG&?)~y&HDRq
za-VUKZ6Nq>-heyDhdyqC`E=IuvEly{3Du)sC`TWhm4k<5SQ7^u`egP7tlId^()$Mx
z-b1!^e{&-gCfM87;y#Sz*J42G0c5q@EEnPMZ_!PR@MD$tfw6o9>u;rUZvF75ov$P$
zG_^qvZt9;H&Dc385ea_(fEkmg$Qy;#i6-Y_KRKD4k-PAYoCH<P?;h1H{_xhkk>PN`
zYaUT_UTXNNcVlVmOM=ytn=i>`4jJ<iW#e1KlpM}~=O%*cqN0rdqMDnbsPEDBo&1ZT
zEeKhrB&@Xe9?z*3Msd3cdO?<8i-b-<r(=|+7t(EN94_VYPV>Uo;*IvdvITUHTqD+S
zYa<0e20g40_A1}r=aq^sAd=Lk16$#YRjj>lZa*tfhX$4}`Q6g7aOhj2Cx%urWiCsW
z1;}-scszKx+~O3*@%RflAI9!Lqz4eUQXAwNmX$7P<1%}+Mk6)9TMzj(sMx2SB9-4*
zGn<uRBxKC04+`IoEh#Qm|7w`->J)uxev0SaU6(ZuAPGbF9L8RV`znV<^Bq}?y2Rrh
z5k(zPekbIwdYJ}4v47m#J#amLI+~H8q>Rk&*w<`6i@a_5UMYjoi-Y&N8_nb@h$HCM
z@h`*Uk9L&z7v?;TF9ib<eadIqCU^Gv6@x_KF@@zu21R`NmF+@ldPHoatIF=h0-@~|
z_DqWz6CplU&>K(sHz)%GGu!Xnmo>(N_3N?ajCAOXc5xYKJKIiaHme2a%E}t-`IlL+
zqU*D%{RQqvCTqDLaD$P<3rZzZ-P)p|*jla-_bm9UvLi1ml~yO(DX-D<J+0q_j08aY
zrzRaDk*#65Y_m-+L*ImTU+0N&S9<Fmt(T3r-<Dt3Eh5?Qwl=cSPY&&pOq|w=*AyX{
zzEZq4;{-t{c_Eg`a$f&l!C@Fg(Uyl!XkhyyEgcWWw#6K8gl=+0E0_aCm_zGAZ<bv6
zNY|Fim|?A$XPAyI_8aW|Wx%9CzkU6q%@uZHCcOjH@(Mc287n)mNMdTO2&by<!eQ0L
zZLw7BHClm)t~Jfy84UaS)-I7y&T|n4u!O_8o4F2OBJsLC7Zg?b1QLi*F<V0FRWPGh
zP9Z~mKv$Y>*W1JJWnAi34uXE+pex0_U$YVO0TGm~;FU<cbJq{hm3>b)tX*x#?!MI{
zW-@1Xea3la8Y@bWDP<@5s^j_$S(Hcbv1sCUFf=<d)?_nnFFl=!S9TEAeZVi#vZeXt
zzY<n~9N48;TnaGkcml<oHW;Z)3SV2%{=8LsMx<z}3}kb)AGPS@@SN+Qjxmbn@S(~l
z>@J3rGW-44iLw(B`-x><%7ZaCH*pd*^N*F*nAbWz#KUacbT0}y11%4LUm{2ZvgJZx
zdW0{1n84B-%#$z7z!U_sjDhmBx&8~sc{&x)1quO0c10-rh#Z$4H(;{2BU3)yFGx?C
zv7wXD2%9<eO&9Zgq)-%uEKO+rU5()g?>zZ0xFqn6?D03(Z?DAJB64|R&ui>EkpDsk
zoy?tL7gM`rl6hIz?3A0`;e*wWWF4Y(A~AVzwNTl)mDk4<)Rz)jo|wv}>n&|QY?1$c
zO-kHvhnvH}Nt59GZI)naYTWp<90qMpxHwA#q+Rpq#PvDl`d8z_G5TJw&oeXT90BfZ
zF8f4mt_aVzrzG|RyE;ff*63S54wl0?A@qkwP#F%m8>m#%ZI6CL5RO0IJ9Z`JJN`_~
zV|gO&p<y(V_B(7gddj;5$Nd=Na16*e19i*O!_ZYvRlbmH+0Lo8BeV=^z#tIp93DZm
zkf2}ZKOgmf*#KYvYY<o_hv)xy@b3wJ8~<GS_n_vwCWEiFO-}?0==K5v8R(c^tGs##
F_CNfU@BIJ(
literal 0
HcmV?d00001
diff --git a/public/handling-sparsity.html b/public/handling-sparsity.html
index 62aeaab..b62b434 100644
--- a/public/handling-sparsity.html
+++ b/public/handling-sparsity.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -517,7 +523,8 @@ However, scRNA-seq measurements typically suffer from large fractions of observe
These observed zero values can represent either missing data (i.e.~a gene is expressed but not detected by the sequencing technology) or true absence of expression. The proportion of zeros, or degree of sparsity, is thought to be due to imperfect reverse transcription and amplification, and other technical limitations (), and depends on the scRNA-seq platform used, the sequencing depth and the underlying expression level of the gene.
The term ``dropout’’ is often used to denote observed zero values in scRNA-seq data, but this term conflates zero values attributable to methodological noise and biologically-true zero expression, so we recommend against its use as a catch-all term for observed zeros.</p>
<p>Sparsity in scRNA-seq data can hinder downstream analyses, but it is challenging to model or handle it appropriately, and thus, there remains an ongoing need for improved methods.
-Sparsity pervades all aspects of scRNA-seq data analysis, but here we focus on the linked problems of learning latent spaces and <code>imputing'' expression values from scRNA-seq data (\autoref{fig:denoising-imputation}). Imputation,</code>data smoothing’’ and ``data reconstruction’’ approaches are closely linked to the challenges of normalization.
+Sparsity pervades all aspects of scRNA-seq data analysis, but here we focus on the linked problems of learning latent spaces and “imputing†expression values from scRNA-seq data.
+Imputation, “data smoothing†and “data reconstruction†approaches are closely linked to the challenges of normalization.
But whereas normalization generally aims to make expression values between cells more comparable to each other, imputation and data smoothing approaches aim to achieve adjusted data values that—it is hoped—better represent the true expression values.
Imputation methods could therefore be used for normalization, but do not entail all possible or useful approaches to normalization.</p>
</div>
@@ -526,8 +533,9 @@ Imputation methods could therefore be used for normalization, but do not entail
<p>The imputation of missing values has been very successful for genotype data.
Crucially, when imputing genotypes we often know which data are missing (e.g.~when no genotype call is possible due to no coverage of a locus, although see section for the challenges with data) and rich sources of external information are available (e.g.~haplotype reference panels).
Thus, genotype imputation is now highly accurate and a commonly-used step in data processing for genetic association studies .</p>
-<p>The situation is somewhat different for scRNA-seq data, as we do not routinely have external reference information to apply (see ).
-In addition, we can never be sure which observed zeros represent <code>missing data'' and which accurately represent a true gene expression level in the cell \citep{hicks_missing_2018}. Observed zeros can either represent</code>biological’’ zeros, i.e.~those present because the true expression level of a gene in a cell was zero.
+<p>The situation is somewhat different for scRNA-seq data, as we do not routinely have external reference information to apply.
+In addition, we can never be sure which observed zeros represent “missing data†and which accurately represent a true gene expression level in the cell .
+Observed zeros can either represent “biological†zeros, i.e.~those present because the true expression level of a gene in a cell was zero.
Or they they are the result of methodological noise, which can arise when a gene has true non-zero expression in a cell, but no counts are observed due to failures at any point in the complicated process of processing mRNA transcripts in cells into mapped reads.
Such noise can lead to artefactual zero that are either more systematic (e.g.~sequence-specific mRNA degradation during cell lysis) or that occur by chance (e.g.~barely expressed transcripts that at the same expression level will sometimes be detected and sometimes not, due to sampling variation, e.g~in the sequencing).
The high degree of sparsity in scRNA-seq data therefore arises from technical zeros and true biological zeros, which are difficult to distinguish from one another.</p>
@@ -542,12 +550,13 @@ For example, imputation could be particularly useful for many dimension reductio
It is therefore desirable to improve both statistical methods that work on sparse count data directly and approaches for data imputation for scRNA-seq data, whether by refining existing techniques or developing new ones (see also ).</p>
<p>We define three broad (and sometimes overlapping) categories of methods that can be used to ``impute’’ scRNA-seq data in the absence of an external reference:</p>
<ol style="list-style-type: decimal">
-<li>__Model-based imputation methods of technical zeros_ use probabilistic models to identify which observed zeros represent technical rather than biological zeros and aim to impute expression levels just for these technical zeros, leaving other observed expression levels untouched; or</li>
-<li>__Data-smoothing methods_ define sets of ``similar’’ cells (e.g.~cells that are neighbors in a graph or occupy a small region in a latent space) and adjust expression values for each cell based on expression values in similar cells.
+<li><strong>Model-based imputation methods of technical zeros</strong> use probabilistic models to identify which observed zeros represent technical rather than biological zeros and aim to impute expression levels just for these technical zeros, leaving other observed expression levels untouched; or</li>
+<li><strong>Data-smoothing methods</strong> define sets of “similar†cells (e.g.~cells that are neighbors in a graph or occupy a small region in a latent space) and adjust expression values for each cell based on expression values in similar cells.
These methods adjust all expression values, including technical zeros, biological zeros and observed non-zero values.</li>
-<li>__Data-reconstruction methods_ typically aim to define a latent space representation of the cells.
+<li><strong>Data-reconstruction methods</strong> typically aim to define a latent space representation of the cells.
This is often done through matrix factorization (e.g.~principal component analysis) or, increasingly, through machine learning approaches (e.g.~variational autoencoders that exploit deep neural networks to capture non-linear relationships).
-Although a broad class of methods, both matrix factorization methods and autoencoders (among others) are able to <code>reconstruct'' the observed data matrix from low-rank or simplified representations. The reconstructed data matrix will typically no longer be sparse (with many zeros) and the implicitly</code>imputed’’ data can be used for downstream applications that cannot handle sparse count data.</li>
+Although a broad class of methods, both matrix factorization methods and autoencoders (among others) are able to “reconstruct†the observed data matrix from low-rank or simplified representations.
+The reconstructed data matrix will typically no longer be sparse (with many zeros) and the implicitly “imputed†data can be used for downstream applications that cannot handle sparse count data.</li>
</ol>
<p>The first category of methods generally seeks to infer a probabilistic model that captures the data generation mechanism.
Such generative models can be used to identify, probabilistically, which observed zeros correspond to technical zeros (to be imputed) and which correspond to biological zeros (to be left alone).
@@ -563,8 +572,9 @@ Clustering methods that implicitly impute values, such as CIDR and BISCUIT , ar
<!-- } -->
<!-- \label{fig:denoising-imputation} -->
<!-- \end{figure*} -->
-<p>Data-smoothing methods, which adjust all gene expression levels based on expression levels in <code>similar'' cells, have also been proposed to handle imputation problems. We might regard these approaches as</code>denoising’’ methods.
-To take a simplified example (), we might imagine that single cells originally refer to points in two-dimensional space, but are likely to describe a one-dimensional curve; projecting data points onto that curve eventually allows imputation of the ``missing’’ values (but all points are adjusted, or smoothed, not just true technical zeros).
+<p>Data-smoothing methods, which adjust all gene expression levels based on expression levels in “similar†cells, have also been proposed to handle imputation problems.
+We might regard these approaches as “denoising†methods.
+To take a simplified example, we might imagine that single cells originally refer to points in two-dimensional space, but are likely to describe a one-dimensional curve; projecting data points onto that curve eventually allows imputation of the “missing†values (but all points are adjusted, or smoothed, not just true technical zeros).
Prominent data-smoothing approaches to handling sparse counts include:</p>
<ul>
<li>diffusion-based MAGIC </li>
@@ -574,9 +584,9 @@ Prominent data-smoothing approaches to handling sparse counts include:</p>
<li>locality sensitive imputation in LSImpute </li>
</ul>
<p>A major task in the analysis of high-dimensional single-cell data is to find low-dimensional representations of the data that capture the salient biological signals and render the data more interpretable and amenable to further analyses.
-As it happens, the matrix factorization and latent-space learning methods used for that task also provide another route for imputation through their ability to the observed data matrix from simplified representations of it.
- is one such standard matrix factorization method that can be applied to scRNA-seq data (preferably after suitable data normalization) as are other widely-used general statistical methods like and .
-As (linear) matrix factorization methods, , and decompose the observed data matrix into a ``small’’ number of factors in two low-rank matrices, one representing cell-by-factor weights and one gene-by-factor loadings.
+As it happens, the matrix factorization and latent-space learning methods used for that task also provide another route for imputation through their ability to <em>reconstruct</em> the observed data matrix from simplified representations of it.
+PCA is one such standard matrix factorization method that can be applied to scRNA-seq data (preferably after suitable data normalization) as are other widely-used general statistical methods like ICA and NMF.
+As (linear) matrix factorization methods, PCA, ICA and NMF decompose the observed data matrix into a “small†number of factors in two low-rank matrices, one representing cell-by-factor weights and one gene-by-factor loadings.
Many matrix factorization methods with tweaks for single-cell data have been proposed in recent years, including:</p>
<ul>
<li>ZIFA, a zero-inflated factor analysis </li>
@@ -644,76 +654,6 @@ Ideally, such a benchmarking platform would remain dynamic beyond an initial pub
Detailed benchmarking would also help to establish when normalization methods derived from explicit count models may be preferable to imputation.</p>
<p>Finally, scalability for large numbers of cells remains an ongoing concern for imputation, data smoothing and data reconstruction methods, as for all high-throughput single-cell methods and software (see ).</p>
-<div class="sourceCode" id="cb621"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb621-1" data-line-number="1"><span class="kw">library</span>(scater)</a></code></pre></div>
-<pre><code>## Loading required package: SingleCellExperiment</code></pre>
-<pre><code>## Loading required package: SummarizedExperiment</code></pre>
-<pre><code>## Loading required package: GenomicRanges</code></pre>
-<pre><code>## Loading required package: stats4</code></pre>
-<pre><code>## Loading required package: BiocGenerics</code></pre>
-<pre><code>## Loading required package: parallel</code></pre>
-<pre><code>##
-## Attaching package: 'BiocGenerics'</code></pre>
-<pre><code>## The following objects are masked from 'package:parallel':
-##
-## clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
-## clusterExport, clusterMap, parApply, parCapply, parLapply,
-## parLapplyLB, parRapply, parSapply, parSapplyLB</code></pre>
-<pre><code>## The following objects are masked from 'package:stats':
-##
-## IQR, mad, sd, var, xtabs</code></pre>
-<pre><code>## The following objects are masked from 'package:base':
-##
-## anyDuplicated, append, as.data.frame, basename, cbind,
-## colnames, dirname, do.call, duplicated, eval, evalq, Filter,
-## Find, get, grep, grepl, intersect, is.unsorted, lapply, Map,
-## mapply, match, mget, order, paste, pmax, pmax.int, pmin,
-## pmin.int, Position, rank, rbind, Reduce, rownames, sapply,
-## setdiff, sort, table, tapply, union, unique, unsplit, which,
-## which.max, which.min</code></pre>
-<pre><code>## Loading required package: S4Vectors</code></pre>
-<pre><code>##
-## Attaching package: 'S4Vectors'</code></pre>
-<pre><code>## The following object is masked from 'package:base':
-##
-## expand.grid</code></pre>
-<pre><code>## Loading required package: IRanges</code></pre>
-<pre><code>## Loading required package: GenomeInfoDb</code></pre>
-<pre><code>## Loading required package: Biobase</code></pre>
-<pre><code>## Welcome to Bioconductor
-##
-## Vignettes contain introductory material; view with
-## 'browseVignettes()'. To cite Bioconductor, see
-## 'citation("Biobase")', and for packages 'citation("pkgname")'.</code></pre>
-<pre><code>## Loading required package: DelayedArray</code></pre>
-<pre><code>## Loading required package: matrixStats</code></pre>
-<pre><code>##
-## Attaching package: 'matrixStats'</code></pre>
-<pre><code>## The following objects are masked from 'package:Biobase':
-##
-## anyMissing, rowMedians</code></pre>
-<pre><code>## Loading required package: BiocParallel</code></pre>
-<pre><code>##
-## Attaching package: 'DelayedArray'</code></pre>
-<pre><code>## The following objects are masked from 'package:matrixStats':
-##
-## colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges</code></pre>
-<pre><code>## The following objects are masked from 'package:base':
-##
-## aperm, apply, rowsum</code></pre>
-<pre><code>## Loading required package: ggplot2</code></pre>
-<pre><code>##
-## Attaching package: 'scater'</code></pre>
-<pre><code>## The following object is masked from 'package:S4Vectors':
-##
-## rename</code></pre>
-<pre><code>## The following object is masked from 'package:stats':
-##
-## filter</code></pre>
-<div class="sourceCode" id="cb651"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb651-1" data-line-number="1"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb651-2" data-line-number="2"><span class="kw">library</span>(glmpca)</a>
-<a class="sourceLine" id="cb651-3" data-line-number="3"><span class="kw">library</span>(ggplot2)</a>
-<a class="sourceLine" id="cb651-4" data-line-number="4"><span class="kw">library</span>(Polychrome)</a>
-<a class="sourceLine" id="cb651-5" data-line-number="5"><span class="kw">library</span>(slalom)</a></code></pre></div>
</div>
</div>
<h3> References</h3>
diff --git a/public/handling-sparsity.md b/public/handling-sparsity.md
index 9a68023..4645ab2 100644
--- a/public/handling-sparsity.md
+++ b/public/handling-sparsity.md
@@ -18,8 +18,8 @@ These observed zero values can represent either missing data (i.e.~a gene is exp
The term ``dropout'' is often used to denote observed zero values in scRNA-seq data, but this term conflates zero values attributable to methodological noise and biologically-true zero expression, so we recommend against its use as a catch-all term for observed zeros.
Sparsity in scRNA-seq data can hinder downstream analyses, but it is challenging to model or handle it appropriately, and thus, there remains an ongoing need for improved methods.
-Sparsity pervades all aspects of scRNA-seq data analysis, but here we focus on the linked problems of learning latent spaces and ``imputing'' expression values from scRNA-seq data (\autoref{fig:denoising-imputation}).
-Imputation, ``data smoothing'' and ``data reconstruction'' approaches are closely linked to the challenges of normalization.
+Sparsity pervades all aspects of scRNA-seq data analysis, but here we focus on the linked problems of learning latent spaces and "imputing" expression values from scRNA-seq data.
+Imputation, "data smoothing" and "data reconstruction" approaches are closely linked to the challenges of normalization.
But whereas normalization generally aims to make expression values between cells more comparable to each other, imputation and data smoothing approaches aim to achieve adjusted data values that---it is hoped---better represent the true expression values.
Imputation methods could therefore be used for normalization, but do not entail all possible or useful approaches to normalization.
@@ -30,9 +30,9 @@ The imputation of missing values has been very successful for genotype data.
Crucially, when imputing genotypes we often know which data are missing (e.g.~when no genotype call is possible due to no coverage of a locus, although see section \autoref{sec:dna-variation-calling} for the challenges with \ac{scdnaseq} data) and rich sources of external information are available (e.g.~haplotype reference panels).
Thus, genotype imputation is now highly accurate and a commonly-used step in data processing for genetic association studies \citep{Das2018-zs}.
-The situation is somewhat different for scRNA-seq data, as we do not routinely have external reference information to apply (see \autoref{sec:rna-ref-atlases}).
-In addition, we can never be sure which observed zeros represent ``missing data'' and which accurately represent a true gene expression level in the cell \citep{hicks_missing_2018}.
-Observed zeros can either represent ``biological'' zeros, i.e.~those present because the true expression level of a gene in a cell was zero.
+The situation is somewhat different for scRNA-seq data, as we do not routinely have external reference information to apply.
+In addition, we can never be sure which observed zeros represent "missing data" and which accurately represent a true gene expression level in the cell \citep{hicks_missing_2018}.
+Observed zeros can either represent "biological" zeros, i.e.~those present because the true expression level of a gene in a cell was zero.
Or they they are the result of methodological noise, which can arise when a gene has true non-zero expression in a cell, but no counts are observed due to failures at any point in the complicated process of processing mRNA transcripts in cells into mapped reads.
Such noise can lead to artefactual zero that are either more systematic (e.g.~sequence-specific mRNA degradation during cell lysis) or that occur by chance (e.g.~barely expressed transcripts that at the same expression level will sometimes be detected and sometimes not, due to sampling variation, e.g~in the sequencing).
The high degree of sparsity in scRNA-seq data therefore arises from technical zeros and true biological zeros, which are difficult to distinguish from one another.
@@ -49,13 +49,13 @@ It is therefore desirable to improve both statistical methods that work on spars
We define three broad (and sometimes overlapping) categories of methods that can be used to ``impute'' scRNA-seq data in the absence of an external reference:
-1. __Model-based imputation methods of technical zeros_ use probabilistic models to identify which observed zeros represent technical rather than biological zeros and aim to impute expression levels just for these technical zeros, leaving other observed expression levels untouched; or
-1. __Data-smoothing methods_ define sets of ``similar'' cells (e.g.~cells that are neighbors in a graph or occupy a small region in a latent space) and adjust expression values for each cell based on expression values in similar cells.
+1. __Model-based imputation methods of technical zeros__ use probabilistic models to identify which observed zeros represent technical rather than biological zeros and aim to impute expression levels just for these technical zeros, leaving other observed expression levels untouched; or
+1. __Data-smoothing methods__ define sets of "similar" cells (e.g.~cells that are neighbors in a graph or occupy a small region in a latent space) and adjust expression values for each cell based on expression values in similar cells.
These methods adjust all expression values, including technical zeros, biological zeros and observed non-zero values.
-1. __Data-reconstruction methods_ typically aim to define a latent space representation of the cells.
+1. __Data-reconstruction methods__ typically aim to define a latent space representation of the cells.
This is often done through matrix factorization (e.g.~principal component analysis) or, increasingly, through machine learning approaches (e.g.~variational autoencoders that exploit deep neural networks to capture non-linear relationships).
-Although a broad class of methods, both matrix factorization methods and autoencoders (among others) are able to ``reconstruct'' the observed data matrix from low-rank or simplified representations.
-The reconstructed data matrix will typically no longer be sparse (with many zeros) and the implicitly ``imputed'' data can be used for downstream applications that cannot handle sparse count data.
+Although a broad class of methods, both matrix factorization methods and autoencoders (among others) are able to "reconstruct" the observed data matrix from low-rank or simplified representations.
+The reconstructed data matrix will typically no longer be sparse (with many zeros) and the implicitly "imputed" data can be used for downstream applications that cannot handle sparse count data.
The first category of methods generally seeks to infer a probabilistic model that captures the data generation mechanism.
Such generative models can be used to identify, probabilistically, which observed zeros correspond to technical zeros (to be imputed) and which correspond to biological zeros (to be left alone).
@@ -73,9 +73,9 @@ Clustering methods that implicitly impute values, such as CIDR \citep{lin_cidr:_
<!-- \label{fig:denoising-imputation} -->
<!-- \end{figure*} -->
-Data-smoothing methods, which adjust all gene expression levels based on expression levels in ``similar'' cells, have also been proposed to handle imputation problems.
-We might regard these approaches as ``denoising'' methods.
-To take a simplified example (\autoref{fig:denoising-imputation}), we might imagine that single cells originally refer to points in two-dimensional space, but are likely to describe a one-dimensional curve; projecting data points onto that curve eventually allows imputation of the ``missing'' values (but all points are adjusted, or smoothed, not just true technical zeros).
+Data-smoothing methods, which adjust all gene expression levels based on expression levels in "similar" cells, have also been proposed to handle imputation problems.
+We might regard these approaches as "denoising" methods.
+To take a simplified example, we might imagine that single cells originally refer to points in two-dimensional space, but are likely to describe a one-dimensional curve; projecting data points onto that curve eventually allows imputation of the "missing" values (but all points are adjusted, or smoothed, not just true technical zeros).
Prominent data-smoothing approaches to handling sparse counts include:
- diffusion-based MAGIC \citep{dijk_recovering_2018}
@@ -86,9 +86,9 @@ Prominent data-smoothing approaches to handling sparse counts include:
A major task in the analysis of high-dimensional single-cell data is to find low-dimensional representations of the data that capture the salient biological signals and render the data more interpretable and amenable to further analyses.
-As it happens, the matrix factorization and latent-space learning methods used for that task also provide another route for imputation through their ability to \emph{reconstruct} the observed data matrix from simplified representations of it.
-\Ac{pca} is one such standard matrix factorization method that can be applied to scRNA-seq data (preferably after suitable data normalization) as are other widely-used general statistical methods like \ac{ica} and \ac{nmf}.
-As (linear) matrix factorization methods, \ac{pca}, \ac{ica} and \ac{nmf} decompose the observed data matrix into a ``small'' number of factors in two low-rank matrices, one representing cell-by-factor weights and one gene-by-factor loadings.
+As it happens, the matrix factorization and latent-space learning methods used for that task also provide another route for imputation through their ability to _reconstruct_ the observed data matrix from simplified representations of it.
+PCA is one such standard matrix factorization method that can be applied to scRNA-seq data (preferably after suitable data normalization) as are other widely-used general statistical methods like ICA and NMF.
+As (linear) matrix factorization methods, PCA, ICA and NMF decompose the observed data matrix into a "small" number of factors in two low-rank matrices, one representing cell-by-factor weights and one gene-by-factor loadings.
Many matrix factorization methods with tweaks for single-cell data have been proposed in recent years, including:
- ZIFA, a zero-inflated factor analysis \citep{pierson_zifa:_2015}
diff --git a/public/ideal-scrnaseq-pipeline-as-of-oct-2019.html b/public/ideal-scrnaseq-pipeline-as-of-oct-2019.html
index 28e1dc3..65b74ef 100644
--- a/public/ideal-scrnaseq-pipeline-as-of-oct-2019.html
+++ b/public/ideal-scrnaseq-pipeline-as-of-oct-2019.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -538,7 +544,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li>Cell clustering & cell-type identification benefits from large number of cells and doesn’t requireas high sequencing depth (~100,000 reads per cell).</li>
</ul></li>
</ul>
-<div class="sourceCode" id="cb903"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb903-1" data-line-number="1">knitr<span class="op">::</span><span class="kw">include_graphics</span>(<span class="st">"figures/Pipeline-batches.png"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb674"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb674-1" data-line-number="1">knitr<span class="op">::</span><span class="kw">include_graphics</span>(<span class="st">"figures/Pipeline-batches.png"</span>)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:pipeline-batches"></span>
<img src="figures/Pipeline-batches.png" alt="Appropriate approaches to batch effects in scRNASeq. Red arrows indicate batch effects which are (pale) or are not (vibrant) correctable through batch-correction." width="90%" />
<p class="caption">
diff --git a/public/imputation.html b/public/imputation.html
index ad2ed2c..4e17499 100644
--- a/public/imputation.html
+++ b/public/imputation.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -506,13 +512,13 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<section class="normal" id="section-">
<div id="imputation" class="section level1">
<h1><span class="header-section-number">13</span> Imputation</h1>
-<div class="sourceCode" id="cb809"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb809-1" data-line-number="1"><span class="kw">library</span>(scImpute)</a>
-<a class="sourceLine" id="cb809-2" data-line-number="2"><span class="kw">library</span>(SC3)</a>
-<a class="sourceLine" id="cb809-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb809-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb809-5" data-line-number="5"><span class="kw">library</span>(mclust)</a>
-<a class="sourceLine" id="cb809-6" data-line-number="6"><span class="kw">library</span>(DrImpute)</a>
-<a class="sourceLine" id="cb809-7" data-line-number="7"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb580"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb580-1" data-line-number="1"><span class="kw">library</span>(scImpute)</a>
+<a class="sourceLine" id="cb580-2" data-line-number="2"><span class="kw">library</span>(SC3)</a>
+<a class="sourceLine" id="cb580-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb580-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb580-5" data-line-number="5"><span class="kw">library</span>(mclust)</a>
+<a class="sourceLine" id="cb580-6" data-line-number="6"><span class="kw">library</span>(DrImpute)</a>
+<a class="sourceLine" id="cb580-7" data-line-number="7"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
<p>As discussed previously, one of the main challenges when analyzing scRNA-seq
data is the presence of zeros, or dropouts. The dropouts are assumed to have
arisen for three possible reasons:</p>
@@ -541,61 +547,61 @@ imputed all inflated zeros.</p>
<div id="scimpute" class="section level3">
<h3><span class="header-section-number">13.0.1</span> scImpute</h3>
<p>To test <code>scImpute</code>, we use the default parameters and we apply it to the Deng dataset that we have worked with before. scImpute takes a .csv or .txt file as an input:</p>
-<div class="sourceCode" id="cb810"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb810-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
-<a class="sourceLine" id="cb810-2" data-line-number="2"><span class="kw">write.csv</span>(<span class="kw">counts</span>(deng), <span class="st">"deng.csv"</span>)</a>
-<a class="sourceLine" id="cb810-3" data-line-number="3"><span class="kw">scimpute</span>(</a>
-<a class="sourceLine" id="cb810-4" data-line-number="4"> <span class="dt">count_path =</span> <span class="st">"deng.csv"</span>,</a>
-<a class="sourceLine" id="cb810-5" data-line-number="5"> <span class="dt">infile =</span> <span class="st">"csv"</span>,</a>
-<a class="sourceLine" id="cb810-6" data-line-number="6"> <span class="dt">outfile =</span> <span class="st">"txt"</span>, </a>
-<a class="sourceLine" id="cb810-7" data-line-number="7"> <span class="dt">out_dir =</span> <span class="st">"./"</span>,</a>
-<a class="sourceLine" id="cb810-8" data-line-number="8"> <span class="dt">Kcluster =</span> <span class="dv">10</span>,</a>
-<a class="sourceLine" id="cb810-9" data-line-number="9"> <span class="dt">ncores =</span> <span class="dv">2</span></a>
-<a class="sourceLine" id="cb810-10" data-line-number="10">)</a></code></pre></div>
+<div class="sourceCode" id="cb581"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb581-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
+<a class="sourceLine" id="cb581-2" data-line-number="2"><span class="kw">write.csv</span>(<span class="kw">counts</span>(deng), <span class="st">"deng.csv"</span>)</a>
+<a class="sourceLine" id="cb581-3" data-line-number="3"><span class="kw">scimpute</span>(</a>
+<a class="sourceLine" id="cb581-4" data-line-number="4"> <span class="dt">count_path =</span> <span class="st">"deng.csv"</span>,</a>
+<a class="sourceLine" id="cb581-5" data-line-number="5"> <span class="dt">infile =</span> <span class="st">"csv"</span>,</a>
+<a class="sourceLine" id="cb581-6" data-line-number="6"> <span class="dt">outfile =</span> <span class="st">"txt"</span>, </a>
+<a class="sourceLine" id="cb581-7" data-line-number="7"> <span class="dt">out_dir =</span> <span class="st">"./"</span>,</a>
+<a class="sourceLine" id="cb581-8" data-line-number="8"> <span class="dt">Kcluster =</span> <span class="dv">10</span>,</a>
+<a class="sourceLine" id="cb581-9" data-line-number="9"> <span class="dt">ncores =</span> <span class="dv">2</span></a>
+<a class="sourceLine" id="cb581-10" data-line-number="10">)</a></code></pre></div>
<p>Now we can compare the results with original data by considering a PCA plot</p>
-<div class="sourceCode" id="cb811"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb811-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"scimpute_count.txt"</span>)</a>
-<a class="sourceLine" id="cb811-2" data-line-number="2"><span class="kw">colnames</span>(res) <-<span class="st"> </span><span class="ot">NULL</span></a>
-<a class="sourceLine" id="cb811-3" data-line-number="3">res <-<span class="st"> </span><span class="kw">SingleCellExperiment</span>(</a>
-<a class="sourceLine" id="cb811-4" data-line-number="4"> <span class="dt">assays =</span> <span class="kw">list</span>(<span class="dt">logcounts =</span> <span class="kw">log2</span>(<span class="kw">as.matrix</span>(res) <span class="op">+</span><span class="st"> </span><span class="dv">1</span>)), </a>
-<a class="sourceLine" id="cb811-5" data-line-number="5"> <span class="dt">colData =</span> <span class="kw">colData</span>(deng)</a>
-<a class="sourceLine" id="cb811-6" data-line-number="6">)</a>
-<a class="sourceLine" id="cb811-7" data-line-number="7"><span class="kw">rowData</span>(res)<span class="op">$</span>feature_symbol <-<span class="st"> </span><span class="kw">rowData</span>(deng)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb811-8" data-line-number="8"><span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb811-9" data-line-number="9"> res, </a>
-<a class="sourceLine" id="cb811-10" data-line-number="10"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span></a>
-<a class="sourceLine" id="cb811-11" data-line-number="11">)</a></code></pre></div>
+<div class="sourceCode" id="cb582"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb582-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">read.table</span>(<span class="st">"scimpute_count.txt"</span>)</a>
+<a class="sourceLine" id="cb582-2" data-line-number="2"><span class="kw">colnames</span>(res) <-<span class="st"> </span><span class="ot">NULL</span></a>
+<a class="sourceLine" id="cb582-3" data-line-number="3">res <-<span class="st"> </span><span class="kw">SingleCellExperiment</span>(</a>
+<a class="sourceLine" id="cb582-4" data-line-number="4"> <span class="dt">assays =</span> <span class="kw">list</span>(<span class="dt">logcounts =</span> <span class="kw">log2</span>(<span class="kw">as.matrix</span>(res) <span class="op">+</span><span class="st"> </span><span class="dv">1</span>)), </a>
+<a class="sourceLine" id="cb582-5" data-line-number="5"> <span class="dt">colData =</span> <span class="kw">colData</span>(deng)</a>
+<a class="sourceLine" id="cb582-6" data-line-number="6">)</a>
+<a class="sourceLine" id="cb582-7" data-line-number="7"><span class="kw">rowData</span>(res)<span class="op">$</span>feature_symbol <-<span class="st"> </span><span class="kw">rowData</span>(deng)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb582-8" data-line-number="8"><span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb582-9" data-line-number="9"> res, </a>
+<a class="sourceLine" id="cb582-10" data-line-number="10"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span></a>
+<a class="sourceLine" id="cb582-11" data-line-number="11">)</a></code></pre></div>
<p>Compare this result to the original data in Chapter <a href="clustering-and-cell-annotation.html#clust-methods">10.2</a>. What are the most significant differences?</p>
<p>We can examine the expression of specific genes to directly see the effect of
imputation on the expression distribution.</p>
-<div class="sourceCode" id="cb812"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb812-1" data-line-number="1"><span class="kw">plotExpression</span>(res, <span class="kw">c</span>(<span class="st">"Sox2"</span>, <span class="st">"Eomes"</span>, <span class="st">"Zscan4d"</span>, <span class="st">"Fgf4"</span>))</a>
-<a class="sourceLine" id="cb812-2" data-line-number="2"><span class="kw">plotExpression</span>(deng, <span class="kw">c</span>(<span class="st">"Sox2"</span>, <span class="st">"Eomes"</span>, <span class="st">"Zscan4d"</span>, <span class="st">"Fgf4"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb583"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb583-1" data-line-number="1"><span class="kw">plotExpression</span>(res, <span class="kw">c</span>(<span class="st">"Sox2"</span>, <span class="st">"Eomes"</span>, <span class="st">"Zscan4d"</span>, <span class="st">"Fgf4"</span>))</a>
+<a class="sourceLine" id="cb583-2" data-line-number="2"><span class="kw">plotExpression</span>(deng, <span class="kw">c</span>(<span class="st">"Sox2"</span>, <span class="st">"Eomes"</span>, <span class="st">"Zscan4d"</span>, <span class="st">"Fgf4"</span>))</a></code></pre></div>
<p>To evaluate the impact of the imputation, we use <code>SC3</code> to cluster the imputed matrix</p>
-<div class="sourceCode" id="cb813"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb813-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">sc3_estimate_k</span>(res)</a>
-<a class="sourceLine" id="cb813-2" data-line-number="2"><span class="kw">metadata</span>(res)<span class="op">$</span>sc3<span class="op">$</span>k_estimation</a>
-<a class="sourceLine" id="cb813-3" data-line-number="3">res <-<span class="st"> </span><span class="kw">sc3</span>(res, <span class="dt">ks =</span> <span class="dv">10</span>, <span class="dt">n_cores =</span> <span class="dv">1</span>, <span class="dt">gene_filter =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb813-4" data-line-number="4"><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2, <span class="kw">colData</span>(res)<span class="op">$</span>sc3_<span class="dv">10</span>_clusters)</a>
-<a class="sourceLine" id="cb813-5" data-line-number="5"><span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb813-6" data-line-number="6"> res, </a>
-<a class="sourceLine" id="cb813-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"sc3_10_clusters"</span></a>
-<a class="sourceLine" id="cb813-8" data-line-number="8">)</a></code></pre></div>
+<div class="sourceCode" id="cb584"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb584-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">sc3_estimate_k</span>(res)</a>
+<a class="sourceLine" id="cb584-2" data-line-number="2"><span class="kw">metadata</span>(res)<span class="op">$</span>sc3<span class="op">$</span>k_estimation</a>
+<a class="sourceLine" id="cb584-3" data-line-number="3">res <-<span class="st"> </span><span class="kw">sc3</span>(res, <span class="dt">ks =</span> <span class="dv">10</span>, <span class="dt">n_cores =</span> <span class="dv">1</span>, <span class="dt">gene_filter =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb584-4" data-line-number="4"><span class="kw">adjustedRandIndex</span>(<span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2, <span class="kw">colData</span>(res)<span class="op">$</span>sc3_<span class="dv">10</span>_clusters)</a>
+<a class="sourceLine" id="cb584-5" data-line-number="5"><span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb584-6" data-line-number="6"> res, </a>
+<a class="sourceLine" id="cb584-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"sc3_10_clusters"</span></a>
+<a class="sourceLine" id="cb584-8" data-line-number="8">)</a></code></pre></div>
<p><strong>Exercise:</strong> Based on the PCA and the clustering results, do you think that imputation using <code>scImpute</code> is a good idea for the Deng dataset?</p>
</div>
<div id="drimpute" class="section level3">
<h3><span class="header-section-number">13.0.2</span> DrImpute</h3>
<p>We can do the same for DrImpute. DrImpute runs on a log-normalized expression matrix directly in R, we generate this matrix using scater, then run DrImpute. Unlike scImpute, DrImpute considers the consensus imputation across a range of ks using two differ correlation distances:</p>
-<div class="sourceCode" id="cb814"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb814-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">normalize</span>(deng)</a>
-<a class="sourceLine" id="cb814-2" data-line-number="2">res <-<span class="st"> </span><span class="kw">DrImpute</span>(deng<span class="op">@</span>assays[[<span class="st">"logcounts"</span>]], <span class="dt">ks=</span><span class="dv">8</span><span class="op">:</span><span class="dv">12</span>)</a>
-<a class="sourceLine" id="cb814-3" data-line-number="3"><span class="kw">colnames</span>(res) <-<span class="st"> </span><span class="kw">colnames</span>(deng)</a>
-<a class="sourceLine" id="cb814-4" data-line-number="4"><span class="kw">rownames</span>(res) <-<span class="st"> </span><span class="kw">rownames</span>(deng)</a>
-<a class="sourceLine" id="cb814-5" data-line-number="5">res <-<span class="st"> </span><span class="kw">SingleCellExperiment</span>(</a>
-<a class="sourceLine" id="cb814-6" data-line-number="6"> <span class="dt">assays =</span> <span class="kw">list</span>(<span class="dt">logcounts =</span> <span class="kw">as.matrix</span>(res)), </a>
-<a class="sourceLine" id="cb814-7" data-line-number="7"> <span class="dt">colData =</span> <span class="kw">colData</span>(deng)</a>
-<a class="sourceLine" id="cb814-8" data-line-number="8">)</a>
-<a class="sourceLine" id="cb814-9" data-line-number="9"><span class="kw">rowData</span>(res)<span class="op">$</span>feature_symbol <-<span class="st"> </span><span class="kw">rowData</span>(deng)<span class="op">$</span>feature_symbol</a>
-<a class="sourceLine" id="cb814-10" data-line-number="10"><span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb814-11" data-line-number="11"> res, </a>
-<a class="sourceLine" id="cb814-12" data-line-number="12"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span></a>
-<a class="sourceLine" id="cb814-13" data-line-number="13">)</a>
-<a class="sourceLine" id="cb814-14" data-line-number="14"><span class="kw">plotExpression</span>(res, <span class="kw">c</span>(<span class="st">"Sox2"</span>, <span class="st">"Eomes"</span>, <span class="st">"Zscan4d"</span>, <span class="st">"Fgf4"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb585"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb585-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">normalize</span>(deng)</a>
+<a class="sourceLine" id="cb585-2" data-line-number="2">res <-<span class="st"> </span><span class="kw">DrImpute</span>(deng<span class="op">@</span>assays[[<span class="st">"logcounts"</span>]], <span class="dt">ks=</span><span class="dv">8</span><span class="op">:</span><span class="dv">12</span>)</a>
+<a class="sourceLine" id="cb585-3" data-line-number="3"><span class="kw">colnames</span>(res) <-<span class="st"> </span><span class="kw">colnames</span>(deng)</a>
+<a class="sourceLine" id="cb585-4" data-line-number="4"><span class="kw">rownames</span>(res) <-<span class="st"> </span><span class="kw">rownames</span>(deng)</a>
+<a class="sourceLine" id="cb585-5" data-line-number="5">res <-<span class="st"> </span><span class="kw">SingleCellExperiment</span>(</a>
+<a class="sourceLine" id="cb585-6" data-line-number="6"> <span class="dt">assays =</span> <span class="kw">list</span>(<span class="dt">logcounts =</span> <span class="kw">as.matrix</span>(res)), </a>
+<a class="sourceLine" id="cb585-7" data-line-number="7"> <span class="dt">colData =</span> <span class="kw">colData</span>(deng)</a>
+<a class="sourceLine" id="cb585-8" data-line-number="8">)</a>
+<a class="sourceLine" id="cb585-9" data-line-number="9"><span class="kw">rowData</span>(res)<span class="op">$</span>feature_symbol <-<span class="st"> </span><span class="kw">rowData</span>(deng)<span class="op">$</span>feature_symbol</a>
+<a class="sourceLine" id="cb585-10" data-line-number="10"><span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb585-11" data-line-number="11"> res, </a>
+<a class="sourceLine" id="cb585-12" data-line-number="12"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span></a>
+<a class="sourceLine" id="cb585-13" data-line-number="13">)</a>
+<a class="sourceLine" id="cb585-14" data-line-number="14"><span class="kw">plotExpression</span>(res, <span class="kw">c</span>(<span class="st">"Sox2"</span>, <span class="st">"Eomes"</span>, <span class="st">"Zscan4d"</span>, <span class="st">"Fgf4"</span>))</a></code></pre></div>
<p><strong>Exercise:</strong> Check the sc3 clustering of the DrImpute matrix, do you think that imputation using <code>DrImpute</code> is a good idea for the Deng dataset?</p>
<p><strong>Exercise:</strong> What is the difference between <code>scImpute</code> and <code>DrImpute</code> based on the PCA and clustering analysis? Which one do you think is best to use?</p>
</div>
diff --git a/public/index.html b/public/index.html
index 07fb14f..23a2af6 100644
--- a/public/index.html
+++ b/public/index.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -506,8 +512,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<section class="normal" id="section-">
<div id="header">
<h1 class="title">Analysis of single cell RNA-seq data</h1>
-<p class="author"><em>Davis McCarthy (<a href = 'https://twitter.com/davisjmcc'>davisjmcc</a>), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (<a href = 'https://twitter.com/wikiselev'>wikiselev</a>), Tallulah Andrews (<a href = 'https://twitter.com/talandrews'>talandrews</a>), Jennifer Westoby (<a href = 'https://twitter.com/Jenni_Westoby'>Jenni_Westoby</a>), Maren Büttner (<a href = 'https://twitter.com/marenbuettner'>marenbuettner</a>), Jimmy Lee (<a href = 'https://twitter.com/THJimmyLee'>THJimmyLee</a>), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (<a href = 'https://twitter.com/m_hemberg'>m_hemberg</a>)</em></p>
-<p class="date"><em>2019-10-01</em></p>
+<p class="author"><em>Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (<a href = 'https://twitter.com/davisjmcc'>davisjmcc</a>)</em></p>
+<p class="date"><em>2019-10-02</em></p>
</div>
<div id="about-the-course" class="section level1">
<h1><span class="header-section-number">1</span> About the course</h1>
diff --git a/public/index.md b/public/index.md
index 870be57..8892eaf 100644
--- a/public/index.md
+++ b/public/index.md
@@ -1,7 +1,7 @@
---
title: "Analysis of single cell RNA-seq data"
-author: "Davis McCarthy (<a href = 'https://twitter.com/davisjmcc'>davisjmcc</a>), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (<a href = 'https://twitter.com/wikiselev'>wikiselev</a>), Tallulah Andrews (<a href = 'https://twitter.com/talandrews'>talandrews</a>), Jennifer Westoby (<a href = 'https://twitter.com/Jenni_Westoby'>Jenni_Westoby</a>), Maren Büttner (<a href = 'https://twitter.com/marenbuettner'>marenbuettner</a>), Jimmy Lee (<a href = 'https://twitter.com/THJimmyLee'>THJimmyLee</a>), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (<a href = 'https://twitter.com/m_hemberg'>m_hemberg</a>)"
-date: "2019-10-01"
+author: "Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (<a href = 'https://twitter.com/davisjmcc'>davisjmcc</a>)"
+date: "2019-10-02"
#knit: "bookdown::render_book"
documentclass: book
bibliography: [book.bib]
@@ -10,6 +10,18 @@ link-citations: yes
always_allow_html: yes
---
+This version of the course builds on the May 2019 version of the course authored
+by: Vladimir Kiselev (<a href = 'https://twitter.com/wikiselev'>wikiselev</a>),
+Tallulah Andrews (<a href = 'https://twitter.com/talandrews'>talandrews</a>),
+Davis J. McCarthy (<a href = 'https://twitter.com/davisjmcc'>davisjmcc</a>),
+Jennifer Westoby (<a href =
+'https://twitter.com/Jenni_Westoby'>Jenni_Westoby</a>), Maren Büttner (<a href =
+'https://twitter.com/marenbuettner'>marenbuettner</a>), Jimmy Lee (<a href =
+'https://twitter.com/THJimmyLee'>THJimmyLee</a>), Krzysztof Polanski, Sebastian
+Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo,
+Rocio Martinez Nunez and Martin Hemberg (<a href =
+'https://twitter.com/m_hemberg'>m_hemberg</a>)
+
# About the course
<!-- > > <span style="color:red">__Important!__ The course will be run on the __2nd - 3rd October 2019, both days 9:00-17:00 Melbourne, Australia time__. </span> -->
diff --git a/public/integrating-single-cell-omics-datasets.html b/public/integrating-single-cell-omics-datasets.html
index fc78e01..276d8c4 100644
--- a/public/integrating-single-cell-omics-datasets.html
+++ b/public/integrating-single-cell-omics-datasets.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -507,7 +513,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<div id="integrating-single-cell-omics-datasets" class="section level1">
<h1><span class="header-section-number">15</span> Integrating single-cell ’omics datasets</h1>
-<div class="sourceCode" id="cb866"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb866-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb637"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb637-1" data-line-number="1"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a></code></pre></div>
</div>
</section>
diff --git a/public/intro-to-R.md b/public/intro-to-R.md
index 59aa06c..ab4509b 100644
--- a/public/intro-to-R.md
+++ b/public/intro-to-R.md
@@ -562,7 +562,7 @@ ll
## $even_a_function
## function (..., deparse.level = 1)
## .Internal(cbind(deparse.level, ...))
-## <bytecode: 0x5600bf7f70f8>
+## <bytecode: 0x55625c0dc0f8>
## <environment: namespace:base>
```
diff --git a/public/intro.md b/public/intro.md
index 60cdae9..8e3d2ed 100644
--- a/public/intro.md
+++ b/public/intro.md
@@ -59,10 +59,32 @@ Today, there are also several different platforms available for carrying out one
## Challenges
-The main difference between bulk and single cell RNA-seq is that each sequencing library represents a single cell, instead of a population of cells. Therefore, significant attention has to be paid to comparison of the results from different cells (sequencing libraries). The main sources of discrepancy between the libraries are:
+The main difference between bulk and single cell RNA-seq is that each sequencing
+library represents a single cell, instead of a population of cells. Therefore,
+significant attention has to be paid to comparison of the results from different
+cells (sequencing libraries). The main sources of discrepancy between the
+libraries are:
+* __Reverse transcription__ to convert RNA to cDNA is at best <30% efficient
* __Amplification__ (up to 1 million fold)
-* __Gene 'dropouts'__ in which a gene is observed at a moderate expression level in one cell but is not detected in another cell [@Kharchenko2014-ts].
-
-In both cases the discrepancies are introduced due to low starting amounts of transcripts since the RNA comes from one cell only. Improving the transcript capture efficiency and reducing the amplification bias are currently active areas of research. However, as we shall see in this course, it is possible to alleviate some of these issues through proper normalization and corrections.
+* __Gene 'dropouts'__ in which a gene is observed at a moderate expression level in one cell but is not detected in another cell [@Kharchenko2014-ts]; this can be due to technical factors (e.g. inefficient RT) or true biological variability across cells.
+
+These discrepancies are introduced due to low starting amounts of transcripts
+since the RNA comes from one cell only. Improving the transcript capture
+efficiency and reducing the amplification bias are currently active areas of
+research. However, as we shall see in this course, it is possible to alleviate
+some of these issues through proper normalization and corrections and effective
+statistical models.
+
+For the analyst, the characteristics of single-cell RNA-seq data lead to
+challenges in handling:
+
+* __Sparsity__
+* __Variability__
+* __Scalability__
+* __Complexity__
+
+In this workshop we will present computational approaches that can allow us to
+face these challenges as we try to answer biological questions of interest from
+single-cell transcriptomic data.
diff --git a/public/introduction-to-rbioconductor.html b/public/introduction-to-rbioconductor.html
index b930fde..4b0feca 100644
--- a/public/introduction-to-rbioconductor.html
+++ b/public/introduction-to-rbioconductor.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -749,7 +755,7 @@ If we combine a character vector and a numeric vector into a matrix, all the dat
## $even_a_function
## function (..., deparse.level = 1)
## .Internal(cbind(deparse.level, ...))
-## <bytecode: 0x5600bf7f70f8>
+## <bytecode: 0x55625c0dc0f8>
## <environment: namespace:base></code></pre>
<p>Lists are most commonly used when returning a large number of results from a function that do not fit into any of the previous data structures.</p>
</div>
diff --git a/public/introduction-to-single-cell-rna-seq.html b/public/introduction-to-single-cell-rna-seq.html
index 25511a2..9d53eb0 100644
--- a/public/introduction-to-single-cell-rna-seq.html
+++ b/public/introduction-to-single-cell-rna-seq.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -563,12 +569,33 @@ Figure 2.2: Flowchart of the scRNA-seq analysis
</div>
<div id="challenges" class="section level2">
<h2><span class="header-section-number">2.5</span> Challenges</h2>
-<p>The main difference between bulk and single cell RNA-seq is that each sequencing library represents a single cell, instead of a population of cells. Therefore, significant attention has to be paid to comparison of the results from different cells (sequencing libraries). The main sources of discrepancy between the libraries are:</p>
+<p>The main difference between bulk and single cell RNA-seq is that each sequencing
+library represents a single cell, instead of a population of cells. Therefore,
+significant attention has to be paid to comparison of the results from different
+cells (sequencing libraries). The main sources of discrepancy between the
+libraries are:</p>
<ul>
+<li><strong>Reverse transcription</strong> to convert RNA to cDNA is at best <30% efficient</li>
<li><strong>Amplification</strong> (up to 1 million fold)</li>
-<li><strong>Gene ‘dropouts’</strong> in which a gene is observed at a moderate expression level in one cell but is not detected in another cell <span class="citation">(Kharchenko, Silberstein, and Scadden <a href="#ref-Kharchenko2014-ts">2014</a>)</span>.</li>
+<li><strong>Gene ‘dropouts’</strong> in which a gene is observed at a moderate expression level in one cell but is not detected in another cell <span class="citation">(Kharchenko, Silberstein, and Scadden <a href="#ref-Kharchenko2014-ts">2014</a>)</span>; this can be due to technical factors (e.g. inefficient RT) or true biological variability across cells.</li>
+</ul>
+<p>These discrepancies are introduced due to low starting amounts of transcripts
+since the RNA comes from one cell only. Improving the transcript capture
+efficiency and reducing the amplification bias are currently active areas of
+research. However, as we shall see in this course, it is possible to alleviate
+some of these issues through proper normalization and corrections and effective
+statistical models.</p>
+<p>For the analyst, the characteristics of single-cell RNA-seq data lead to
+challenges in handling:</p>
+<ul>
+<li><strong>Sparsity</strong></li>
+<li><strong>Variability</strong></li>
+<li><strong>Scalability</strong></li>
+<li><strong>Complexity</strong></li>
</ul>
-<p>In both cases the discrepancies are introduced due to low starting amounts of transcripts since the RNA comes from one cell only. Improving the transcript capture efficiency and reducing the amplification bias are currently active areas of research. However, as we shall see in this course, it is possible to alleviate some of these issues through proper normalization and corrections.</p>
+<p>In this workshop we will present computational approaches that can allow us to
+face these challenges as we try to answer biological questions of interest from
+single-cell transcriptomic data.</p>
</div>
<div id="experimental-methods" class="section level2">
diff --git a/public/latent-spaces.html b/public/latent-spaces.html
index ef3d3eb..4333b64 100644
--- a/public/latent-spaces.html
+++ b/public/latent-spaces.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -509,6 +515,12 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<p>In many cases we may like to think of cells sitting in a low-dimensional,
“latent†space that captures relationships between cells more intuitively than
the very high-dimensional gene expression space.</p>
+<div class="sourceCode" id="cb422"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb422-1" data-line-number="1"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb422-2" data-line-number="2"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb422-3" data-line-number="3"><span class="kw">library</span>(glmpca)</a>
+<a class="sourceLine" id="cb422-4" data-line-number="4"><span class="kw">library</span>(ggplot2)</a>
+<a class="sourceLine" id="cb422-5" data-line-number="5"><span class="kw">library</span>(Polychrome)</a>
+<a class="sourceLine" id="cb422-6" data-line-number="6"><span class="kw">library</span>(slalom)</a></code></pre></div>
<div id="dimensionality-reduction" class="section level2">
<h2><span class="header-section-number">9.1</span> Dimensionality reduction</h2>
<p><strong>Why?</strong><br />
@@ -573,21 +585,17 @@ largest eigen value accounts for the most variation.</p>
</div>
<div id="an-example-of-pca" class="section level5">
<h5><span class="header-section-number">9.1.1.1.3</span> An example of PCA</h5>
-<div class="sourceCode" id="cb652"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb652-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
-<a class="sourceLine" id="cb652-2" data-line-number="2">my_color1 <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">6</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
-<a class="sourceLine" id="cb652-3" data-line-number="3"><span class="kw">names</span>(my_color1) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(deng<span class="op">$</span>cell_type1))</a>
-<a class="sourceLine" id="cb652-4" data-line-number="4">my_color2 <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">10</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
-<a class="sourceLine" id="cb652-5" data-line-number="5"><span class="kw">names</span>(my_color2) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(deng<span class="op">$</span>cell_type2))</a>
-<a class="sourceLine" id="cb652-6" data-line-number="6">deng <-<span class="st"> </span><span class="kw">runPCA</span>(deng, <span class="dt">ncomponents =</span> <span class="dv">2</span>)</a>
-<a class="sourceLine" id="cb652-7" data-line-number="7"><span class="kw">plotPCA</span>(deng, <span class="dt">colour_by =</span> <span class="st">"cell_type1"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb652-8" data-line-number="8"><span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> my_color1)</a></code></pre></div>
-<pre><code>## Scale for 'fill' is already present. Adding another scale for 'fill',
-## which will replace the existing scale.</code></pre>
+<div class="sourceCode" id="cb423"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb423-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
+<a class="sourceLine" id="cb423-2" data-line-number="2">my_color1 <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">6</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
+<a class="sourceLine" id="cb423-3" data-line-number="3"><span class="kw">names</span>(my_color1) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(deng<span class="op">$</span>cell_type1))</a>
+<a class="sourceLine" id="cb423-4" data-line-number="4">my_color2 <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">10</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
+<a class="sourceLine" id="cb423-5" data-line-number="5"><span class="kw">names</span>(my_color2) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(deng<span class="op">$</span>cell_type2))</a>
+<a class="sourceLine" id="cb423-6" data-line-number="6">deng <-<span class="st"> </span><span class="kw">runPCA</span>(deng, <span class="dt">ncomponents =</span> <span class="dv">2</span>)</a>
+<a class="sourceLine" id="cb423-7" data-line-number="7"><span class="kw">plotPCA</span>(deng, <span class="dt">colour_by =</span> <span class="st">"cell_type1"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb423-8" data-line-number="8"><span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> my_color1)</a></code></pre></div>
<p><img src="latent-spaces_files/figure-html/unnamed-chunk-1-1.png" width="672" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb654"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb654-1" data-line-number="1"><span class="kw">plotPCA</span>(deng, <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb654-2" data-line-number="2"><span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> my_color2)</a></code></pre></div>
-<pre><code>## Scale for 'fill' is already present. Adding another scale for 'fill',
-## which will replace the existing scale.</code></pre>
+<div class="sourceCode" id="cb424"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb424-1" data-line-number="1"><span class="kw">plotPCA</span>(deng, <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb424-2" data-line-number="2"><span class="st"> </span><span class="kw">scale_fill_manual</span>(<span class="dt">values =</span> my_color2)</a></code></pre></div>
<p><img src="latent-spaces_files/figure-html/unnamed-chunk-1-2.png" width="672" style="display: block; margin: auto;" /></p>
</div>
<div id="advantages-and-limits-of-pca" class="section level5">
@@ -633,23 +641,23 @@ exponential-family distribution, and applies appropriate link functions to
<span class="math inline">\(u_i\)</span>’s in the same as a GLM does to non-Gaussian responses.</p>
<p>The following example compares GLM-PCA with Poisson marginals to the
traditional PCA, which is identical to the result from <code>plotPCA</code>.</p>
-<div class="sourceCode" id="cb656"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb656-1" data-line-number="1"><span class="co">## GLM-PCA</span></a>
-<a class="sourceLine" id="cb656-2" data-line-number="2">Y <-<span class="st"> </span><span class="kw">assay</span>(deng, <span class="st">"counts"</span>)</a>
-<a class="sourceLine" id="cb656-3" data-line-number="3">Y <-<span class="st"> </span>Y[<span class="kw">rowSums</span>(Y) <span class="op">></span><span class="st"> </span><span class="dv">0</span>, ]</a>
-<a class="sourceLine" id="cb656-4" data-line-number="4"><span class="kw">system.time</span>(res1 <-<span class="st"> </span><span class="kw">glmpca</span>(Y, <span class="dt">L=</span><span class="dv">2</span>, <span class="dt">fam=</span><span class="st">"poi"</span>, <span class="dt">verbose=</span><span class="ot">TRUE</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb425"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb425-1" data-line-number="1"><span class="co">## GLM-PCA</span></a>
+<a class="sourceLine" id="cb425-2" data-line-number="2">Y <-<span class="st"> </span><span class="kw">assay</span>(deng, <span class="st">"counts"</span>)</a>
+<a class="sourceLine" id="cb425-3" data-line-number="3">Y <-<span class="st"> </span>Y[<span class="kw">rowSums</span>(Y) <span class="op">></span><span class="st"> </span><span class="dv">0</span>, ]</a>
+<a class="sourceLine" id="cb425-4" data-line-number="4"><span class="kw">system.time</span>(res1 <-<span class="st"> </span><span class="kw">glmpca</span>(Y, <span class="dt">L=</span><span class="dv">2</span>, <span class="dt">fam=</span><span class="st">"poi"</span>, <span class="dt">verbose=</span><span class="ot">TRUE</span>))</a></code></pre></div>
<pre><code>## user system elapsed
-## 94.261 25.207 119.499</code></pre>
-<div class="sourceCode" id="cb658"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb658-1" data-line-number="1">pd1 <-<span class="st"> </span><span class="kw">data.frame</span>(res1<span class="op">$</span>factors, <span class="dt">dimreduce=</span><span class="st">"glmpca-poisson"</span>, <span class="dt">clust =</span> <span class="kw">factor</span>(deng<span class="op">$</span>cell_type2))</a>
-<a class="sourceLine" id="cb658-2" data-line-number="2"><span class="co">## traditional PCA</span></a>
-<a class="sourceLine" id="cb658-3" data-line-number="3">pd2 <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="kw">reducedDim</span>(deng, <span class="st">"PCA"</span>), <span class="dt">dimreduce=</span><span class="st">"runPCA"</span>, <span class="dt">clust =</span> <span class="kw">factor</span>(deng<span class="op">$</span>cell_type2))</a>
-<a class="sourceLine" id="cb658-4" data-line-number="4"><span class="kw">colnames</span>(pd2) <-<span class="st"> </span><span class="kw">colnames</span>(pd1)</a>
-<a class="sourceLine" id="cb658-5" data-line-number="5"><span class="co">## plot</span></a>
-<a class="sourceLine" id="cb658-6" data-line-number="6">pd <-<span class="st"> </span><span class="kw">rbind</span>(pd1, pd2)</a>
-<a class="sourceLine" id="cb658-7" data-line-number="7"><span class="kw">ggplot</span>(pd, <span class="kw">aes</span>(<span class="dt">x =</span> dim1, <span class="dt">y =</span> dim2, <span class="dt">colour =</span> clust)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb658-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">size=</span><span class="dv">2</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb658-9" data-line-number="9"><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>dimreduce, <span class="dt">scales=</span><span class="st">"free"</span>, <span class="dt">nrow=</span><span class="dv">3</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb658-10" data-line-number="10"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color2) <span class="op">+</span></a>
-<a class="sourceLine" id="cb658-11" data-line-number="11"><span class="st"> </span><span class="kw">theme_bw</span>()</a></code></pre></div>
+## 109.838 29.499 139.356</code></pre>
+<div class="sourceCode" id="cb427"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb427-1" data-line-number="1">pd1 <-<span class="st"> </span><span class="kw">data.frame</span>(res1<span class="op">$</span>factors, <span class="dt">dimreduce=</span><span class="st">"glmpca-poisson"</span>, <span class="dt">clust =</span> <span class="kw">factor</span>(deng<span class="op">$</span>cell_type2))</a>
+<a class="sourceLine" id="cb427-2" data-line-number="2"><span class="co">## traditional PCA</span></a>
+<a class="sourceLine" id="cb427-3" data-line-number="3">pd2 <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="kw">reducedDim</span>(deng, <span class="st">"PCA"</span>), <span class="dt">dimreduce=</span><span class="st">"runPCA"</span>, <span class="dt">clust =</span> <span class="kw">factor</span>(deng<span class="op">$</span>cell_type2))</a>
+<a class="sourceLine" id="cb427-4" data-line-number="4"><span class="kw">colnames</span>(pd2) <-<span class="st"> </span><span class="kw">colnames</span>(pd1)</a>
+<a class="sourceLine" id="cb427-5" data-line-number="5"><span class="co">## plot</span></a>
+<a class="sourceLine" id="cb427-6" data-line-number="6">pd <-<span class="st"> </span><span class="kw">rbind</span>(pd1, pd2)</a>
+<a class="sourceLine" id="cb427-7" data-line-number="7"><span class="kw">ggplot</span>(pd, <span class="kw">aes</span>(<span class="dt">x =</span> dim1, <span class="dt">y =</span> dim2, <span class="dt">colour =</span> clust)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb427-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">size=</span><span class="dv">2</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb427-9" data-line-number="9"><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>dimreduce, <span class="dt">scales=</span><span class="st">"free"</span>, <span class="dt">nrow=</span><span class="dv">3</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb427-10" data-line-number="10"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color2) <span class="op">+</span></a>
+<a class="sourceLine" id="cb427-11" data-line-number="11"><span class="st"> </span><span class="kw">theme_bw</span>()</a></code></pre></div>
<p><img src="latent-spaces_files/figure-html/glmpca-1.png" width="672" style="display: block; margin: auto;" /></p>
<p>Let us compare GLM-PCA and standard PCA (using normalized log-counts data) on
the Tung data, before cells have been QC’d.</p>
@@ -740,11 +748,11 @@ So for a pair of points (<span class="math inline">\(x_i\)</span> and <span clas
</div>
<div id="example-of-t-sne" class="section level4">
<h4><span class="header-section-number">9.1.2.4</span> <strong>Example of t-SNE:</strong>Â </h4>
-<div class="sourceCode" id="cb659"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb659-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
-<a class="sourceLine" id="cb659-2" data-line-number="2">tmp <-<span class="st"> </span><span class="kw">runTSNE</span>(muraro, <span class="dt">perplexity =</span> <span class="dv">3</span>)</a>
-<a class="sourceLine" id="cb659-3" data-line-number="3"><span class="kw">plotTSNE</span>(tmp, <span class="dt">colour_by =</span> <span class="st">"cell_type1"</span>)</a>
-<a class="sourceLine" id="cb659-4" data-line-number="4">tmp <-<span class="st"> </span><span class="kw">runTSNE</span>(muraro, <span class="dt">perplexity =</span> <span class="dv">50</span>)</a>
-<a class="sourceLine" id="cb659-5" data-line-number="5"><span class="kw">plotTSNE</span>(tmp, <span class="dt">colour_by =</span> <span class="st">"cell_type1"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb428"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb428-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/pancreas/muraro.rds"</span>)</a>
+<a class="sourceLine" id="cb428-2" data-line-number="2">tmp <-<span class="st"> </span><span class="kw">runTSNE</span>(muraro, <span class="dt">perplexity =</span> <span class="dv">3</span>)</a>
+<a class="sourceLine" id="cb428-3" data-line-number="3"><span class="kw">plotTSNE</span>(tmp, <span class="dt">colour_by =</span> <span class="st">"cell_type1"</span>)</a>
+<a class="sourceLine" id="cb428-4" data-line-number="4">tmp <-<span class="st"> </span><span class="kw">runTSNE</span>(muraro, <span class="dt">perplexity =</span> <span class="dv">50</span>)</a>
+<a class="sourceLine" id="cb428-5" data-line-number="5"><span class="kw">plotTSNE</span>(tmp, <span class="dt">colour_by =</span> <span class="st">"cell_type1"</span>)</a></code></pre></div>
<p><img src="latent-spaces_files/figure-html/tsne-1.png" width="672" style="display: block; margin: auto;" /><img src="latent-spaces_files/figure-html/tsne-2.png" width="672" style="display: block; margin: auto;" /></p>
</div>
<div id="limits-of-t-sne" class="section level4">
@@ -816,8 +824,8 @@ To be able to project this onto an undirected graph, we need to solve the disagr
</div>
<div id="example-of-umap" class="section level5">
<h5><span class="header-section-number">9.1.3.1.4</span> Example of UMAP</h5>
-<div class="sourceCode" id="cb660"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb660-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">runUMAP</span>(muraro)</a>
-<a class="sourceLine" id="cb660-2" data-line-number="2"><span class="kw">plotUMAP</span>(muraro, <span class="dt">colour_by=</span><span class="st">"cell_type1"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb429"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb429-1" data-line-number="1">muraro <-<span class="st"> </span><span class="kw">runUMAP</span>(muraro)</a>
+<a class="sourceLine" id="cb429-2" data-line-number="2"><span class="kw">plotUMAP</span>(muraro, <span class="dt">colour_by=</span><span class="st">"cell_type1"</span>)</a></code></pre></div>
<p><img src="latent-spaces_files/figure-html/umap-1.png" width="672" style="display: block; margin: auto;" /></p>
</div>
</div>
@@ -874,12 +882,12 @@ PHATE measures the distance between probability distributions <span class="math
</div>
<div id="example-of-phate" class="section level5">
<h5><span class="header-section-number">9.1.3.2.2</span> Example of PHATE</h5>
-<div class="sourceCode" id="cb661"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb661-1" data-line-number="1"><span class="kw">library</span>(phateR)</a>
-<a class="sourceLine" id="cb661-2" data-line-number="2">deng_phate <-<span class="st"> </span><span class="kw">phate</span>(<span class="kw">t</span>(<span class="kw">assay</span>(deng, <span class="st">"logcounts"</span>)))</a>
-<a class="sourceLine" id="cb661-3" data-line-number="3">dt <-<span class="st"> </span><span class="kw">data.frame</span>(deng_phate<span class="op">$</span>embedding, <span class="dt">clust =</span> deng<span class="op">$</span>cell_type1)</a>
-<a class="sourceLine" id="cb661-4" data-line-number="4"><span class="kw">palette</span>(<span class="kw">rainbow</span>(<span class="dv">10</span>))</a>
-<a class="sourceLine" id="cb661-5" data-line-number="5"><span class="kw">ggplot</span>(dt, <span class="kw">aes</span>(<span class="dt">x=</span>PHATE1, <span class="dt">y=</span>PHATE2, <span class="dt">color=</span>clust)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb661-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_point</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb430"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb430-1" data-line-number="1"><span class="kw">library</span>(phateR)</a>
+<a class="sourceLine" id="cb430-2" data-line-number="2">deng_phate <-<span class="st"> </span><span class="kw">phate</span>(<span class="kw">t</span>(<span class="kw">assay</span>(deng, <span class="st">"logcounts"</span>)))</a>
+<a class="sourceLine" id="cb430-3" data-line-number="3">dt <-<span class="st"> </span><span class="kw">data.frame</span>(deng_phate<span class="op">$</span>embedding, <span class="dt">clust =</span> deng<span class="op">$</span>cell_type1)</a>
+<a class="sourceLine" id="cb430-4" data-line-number="4"><span class="kw">palette</span>(<span class="kw">rainbow</span>(<span class="dv">10</span>))</a>
+<a class="sourceLine" id="cb430-5" data-line-number="5"><span class="kw">ggplot</span>(dt, <span class="kw">aes</span>(<span class="dt">x=</span>PHATE1, <span class="dt">y=</span>PHATE2, <span class="dt">color=</span>clust)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb430-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_point</span>()</a></code></pre></div>
<center>
<img src="figures/phate.png" />
</center>
@@ -947,16 +955,16 @@ Since we do not know anything about <span class="math inline">\(z_{g,k}\)</span>
<div id="example" class="section level4">
<h4><span class="header-section-number">9.2.1.2</span> Example</h4>
<p>First, get a geneset in a <code>GeneSetCollection</code> object.</p>
-<div class="sourceCode" id="cb662"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb662-1" data-line-number="1">gmtfile <-<span class="st"> </span><span class="kw">system.file</span>(<span class="st">"extdata"</span>, <span class="st">"reactome_subset.gmt"</span>, <span class="dt">package =</span> <span class="st">"slalom"</span>)</a>
-<a class="sourceLine" id="cb662-2" data-line-number="2">genesets <-<span class="st"> </span>GSEABase<span class="op">::</span><span class="kw">getGmt</span>(gmtfile)</a></code></pre></div>
+<div class="sourceCode" id="cb431"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb431-1" data-line-number="1">gmtfile <-<span class="st"> </span><span class="kw">system.file</span>(<span class="st">"extdata"</span>, <span class="st">"reactome_subset.gmt"</span>, <span class="dt">package =</span> <span class="st">"slalom"</span>)</a>
+<a class="sourceLine" id="cb431-2" data-line-number="2">genesets <-<span class="st"> </span>GSEABase<span class="op">::</span><span class="kw">getGmt</span>(gmtfile)</a></code></pre></div>
<p>Then we create an <code>Rcpp_SlalomModel</code> object containing the input data and genesets (and subsequent results) for the model.</p>
-<div class="sourceCode" id="cb663"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb663-1" data-line-number="1">model_deng <-<span class="st"> </span><span class="kw">newSlalomModel</span>(deng, genesets, <span class="dt">n_hidden =</span> <span class="dv">5</span>, <span class="dt">min_genes =</span> <span class="dv">10</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb432"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb432-1" data-line-number="1">model_deng <-<span class="st"> </span><span class="kw">newSlalomModel</span>(deng, genesets, <span class="dt">n_hidden =</span> <span class="dv">5</span>, <span class="dt">min_genes =</span> <span class="dv">10</span>)</a></code></pre></div>
<pre><code>## 29 annotated factors retained; 1 annotated factors dropped.
## 1072 genes retained for analysis.</code></pre>
<p>Initialize the model:</p>
-<div class="sourceCode" id="cb665"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb665-1" data-line-number="1">model_deng <-<span class="st"> </span><span class="kw">initSlalom</span>(model_deng, <span class="dt">seed =</span> <span class="dv">100</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb434"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb434-1" data-line-number="1">model_deng <-<span class="st"> </span><span class="kw">initSlalom</span>(model_deng, <span class="dt">seed =</span> <span class="dv">100</span>)</a></code></pre></div>
<p>Fit/train the model:</p>
-<div class="sourceCode" id="cb666"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb666-1" data-line-number="1">model_deng <-<span class="st"> </span><span class="kw">trainSlalom</span>(model_deng, <span class="dt">nIterations =</span> <span class="dv">1000</span>, <span class="dt">seed =</span> <span class="dv">100</span>, <span class="dt">tolerance =</span> <span class="fl">0.001</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb435"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb435-1" data-line-number="1">model_deng <-<span class="st"> </span><span class="kw">trainSlalom</span>(model_deng, <span class="dt">nIterations =</span> <span class="dv">1000</span>, <span class="dt">seed =</span> <span class="dv">100</span>, <span class="dt">tolerance =</span> <span class="fl">0.001</span>)</a></code></pre></div>
<pre><code>## pre-training model for faster convergence
## iteration 0
## Model not converged after 50 iterations.
@@ -981,10 +989,11 @@ Since we do not know anything about <span class="math inline">\(z_{g,k}\)</span>
## Model converged after 701 iterations.</code></pre>
<p>View results:<br />
The <code>plotRelevance</code> function displays the most relevant terms (factors/pathways) ranked by relevance, showing gene set size and the number of genes gained/lost as active in the pathway as learnt by the model.</p>
-<div class="sourceCode" id="cb668"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb668-1" data-line-number="1"><span class="kw">plotRelevance</span>(model_deng)</a></code></pre></div>
-<p><img src="latent-spaces_files/figure-html/unnamed-chunk-8-1.png" width="960" style="display: block; margin: auto;" />
-The <code>plotTerms</code> function shows the relevance of all terms in the model, enabling the identification of the most important pathways in the context of all that were included in the model.</p>
-<div class="sourceCode" id="cb669"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb669-1" data-line-number="1"><span class="kw">plotTerms</span>(model_deng)</a></code></pre></div>
+<div class="sourceCode" id="cb437"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb437-1" data-line-number="1"><span class="kw">plotRelevance</span>(model_deng) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>(<span class="dt">base_size =</span> <span class="dv">8</span>)</a></code></pre></div>
+<p><img src="latent-spaces_files/figure-html/unnamed-chunk-8-1.png" width="1344" style="display: block; margin: auto;" /></p>
+<pre><code>## NULL</code></pre>
+<p>The <code>plotTerms</code> function shows the relevance of all terms in the model, enabling the identification of the most important pathways in the context of all that were included in the model.</p>
+<div class="sourceCode" id="cb439"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb439-1" data-line-number="1"><span class="kw">plotTerms</span>(model_deng)</a></code></pre></div>
<p><img src="latent-spaces_files/figure-html/unnamed-chunk-9-1.png" width="672" style="display: block; margin: auto;" /></p>
</div>
</div>
@@ -1003,13 +1012,16 @@ The <code>plotTerms</code> function shows the relevance of all terms in the mode
Something that is not directly observable but is assumed to have an impact on the observed variables.</p></li>
<li><p><strong>Goal:</strong> We believe <span class="math inline">\(X\)</span> can be generated from <span class="math inline">\(Z\)</span> (with some trasformation), and want to sample more data from <span class="math inline">\(Z\)</span> that resembles <span class="math inline">\(X\)</span>.
So we want the to find the parameters <span class="math inline">\(\theta\)</span> such that the probability to generate <span class="math inline">\(X\)</span> from the distribution of <span class="math inline">\(Z\)</span>: <span class="math inline">\(P(X) = \int P(X|z; \theta) P(z) dz\)</span> is maximized.</p></li>
-<li><p><strong>How do we define <span class="math inline">\(Z\)</span>?</strong><br />
--<strong>The simpliest idea:</strong> <span class="math inline">\(Z \sim N(0, 1)\)</span>.
+<li><strong>How do we define <span class="math inline">\(Z\)</span>?</strong><br />
+
+<ul>
+<li><strong>The simplest idea:</strong> <span class="math inline">\(Z \sim N(0, 1)\)</span>.
It is not impossible, because “any distribution in d dimensions can be generated by taking a set of d variables that are normally distributed and mapping them through a sufficiently complicated function.â€<br />
-<strong>A better idea:</strong>
For most of <span class="math inline">\(z\)</span>, <span class="math inline">\(P(X|z; \theta)\)</span> will be close to zero, meaning it contribute almost nothing to the estimate of <span class="math inline">\(P(X)\)</span>. Thus, we want to sample only those values of <span class="math inline">\(Z\)</span> that are likely to produce <span class="math inline">\(X\)</span>.
Denote this distribution of <span class="math inline">\(Z\)</span> as <span class="math inline">\(Q(Z|X)\)</span> (it is infered and therefore depend on <span class="math inline">\(X\)</span>).<br />
-<strong>Advantage:</strong> There will be a lot less possible values of <span class="math inline">\(Z\)</span> under <span class="math inline">\(Q\)</span> compared to random sampling, therefore, it will be easier to compute <span class="math inline">\(E_{Z \sim Q} P(X|Z)\)</span>.</p></li>
+<strong>Advantage:</strong> There will be a lot less possible values of <span class="math inline">\(Z\)</span> under <span class="math inline">\(Q\)</span> compared to random sampling, therefore, it will be easier to compute <span class="math inline">\(E_{Z \sim Q} P(X|Z)\)</span>.</li>
+</ul></li>
</ul>
</div>
<div id="objective" class="section level3">
diff --git a/public/latent-spaces.md b/public/latent-spaces.md
index f998674..50fb678 100644
--- a/public/latent-spaces.md
+++ b/public/latent-spaces.md
@@ -4,164 +4,15 @@ output: html_document
+# Latent spaces
+In many cases we may like to think of cells sitting in a low-dimensional,
+"latent" space that captures relationships between cells more intuitively than
+the very high-dimensional gene expression space.
-```r
-library(scater)
-```
-
-```
-## Loading required package: SingleCellExperiment
-```
-
-```
-## Loading required package: SummarizedExperiment
-```
-
-```
-## Loading required package: GenomicRanges
-```
-
-```
-## Loading required package: stats4
-```
-
-```
-## Loading required package: BiocGenerics
-```
-
-```
-## Loading required package: parallel
-```
-
-```
-##
-## Attaching package: 'BiocGenerics'
-```
-
-```
-## The following objects are masked from 'package:parallel':
-##
-## clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
-## clusterExport, clusterMap, parApply, parCapply, parLapply,
-## parLapplyLB, parRapply, parSapply, parSapplyLB
-```
-
-```
-## The following objects are masked from 'package:stats':
-##
-## IQR, mad, sd, var, xtabs
-```
-
-```
-## The following objects are masked from 'package:base':
-##
-## anyDuplicated, append, as.data.frame, basename, cbind,
-## colnames, dirname, do.call, duplicated, eval, evalq, Filter,
-## Find, get, grep, grepl, intersect, is.unsorted, lapply, Map,
-## mapply, match, mget, order, paste, pmax, pmax.int, pmin,
-## pmin.int, Position, rank, rbind, Reduce, rownames, sapply,
-## setdiff, sort, table, tapply, union, unique, unsplit, which,
-## which.max, which.min
-```
-
-```
-## Loading required package: S4Vectors
-```
-
-```
-##
-## Attaching package: 'S4Vectors'
-```
-
-```
-## The following object is masked from 'package:base':
-##
-## expand.grid
-```
-
-```
-## Loading required package: IRanges
-```
-
-```
-## Loading required package: GenomeInfoDb
-```
-
-```
-## Loading required package: Biobase
-```
-
-```
-## Welcome to Bioconductor
-##
-## Vignettes contain introductory material; view with
-## 'browseVignettes()'. To cite Bioconductor, see
-## 'citation("Biobase")', and for packages 'citation("pkgname")'.
-```
-
-```
-## Loading required package: DelayedArray
-```
-
-```
-## Loading required package: matrixStats
-```
-
-```
-##
-## Attaching package: 'matrixStats'
-```
-
-```
-## The following objects are masked from 'package:Biobase':
-##
-## anyMissing, rowMedians
-```
-
-```
-## Loading required package: BiocParallel
-```
-
-```
-##
-## Attaching package: 'DelayedArray'
-```
-
-```
-## The following objects are masked from 'package:matrixStats':
-##
-## colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges
-```
-
-```
-## The following objects are masked from 'package:base':
-##
-## aperm, apply, rowsum
-```
-
-```
-## Loading required package: ggplot2
-```
-
-```
-##
-## Attaching package: 'scater'
-```
-
-```
-## The following object is masked from 'package:S4Vectors':
-##
-## rename
-```
-
-```
-## The following object is masked from 'package:stats':
-##
-## filter
-```
```r
+library(scater)
library(SingleCellExperiment)
library(glmpca)
library(ggplot2)
@@ -169,11 +20,6 @@ library(Polychrome)
library(slalom)
```
-# Latent spaces
-
-In many cases we may like to think of cells sitting in a low-dimensional,
-"latent" space that captures relationships between cells more intuitively than
-the very high-dimensional gene expression space.
## Dimensionality reduction
@@ -246,11 +92,6 @@ plotPCA(deng, colour_by = "cell_type1") +
scale_fill_manual(values = my_color1)
```
-```
-## Scale for 'fill' is already present. Adding another scale for 'fill',
-## which will replace the existing scale.
-```
-
<img src="latent-spaces_files/figure-html/unnamed-chunk-1-1.png" width="672" style="display: block; margin: auto;" />
```r
@@ -258,11 +99,6 @@ plotPCA(deng, colour_by = "cell_type2") +
scale_fill_manual(values = my_color2)
```
-```
-## Scale for 'fill' is already present. Adding another scale for 'fill',
-## which will replace the existing scale.
-```
-
<img src="latent-spaces_files/figure-html/unnamed-chunk-1-2.png" width="672" style="display: block; margin: auto;" />
##### Advantages and limits of PCA:
@@ -320,7 +156,7 @@ system.time(res1 <- glmpca(Y, L=2, fam="poi", verbose=TRUE))
```
## user system elapsed
-## 94.261 25.207 119.499
+## 109.838 29.499 139.356
```
```r
@@ -691,10 +527,14 @@ View results:\
The `plotRelevance` function displays the most relevant terms (factors/pathways) ranked by relevance, showing gene set size and the number of genes gained/lost as active in the pathway as learnt by the model.
```r
-plotRelevance(model_deng)
+plotRelevance(model_deng) + theme_classic(base_size = 8)
```
-<img src="latent-spaces_files/figure-html/unnamed-chunk-8-1.png" width="960" style="display: block; margin: auto;" />
+<img src="latent-spaces_files/figure-html/unnamed-chunk-8-1.png" width="1344" style="display: block; margin: auto;" />
+
+```
+## NULL
+```
The `plotTerms` function shows the relevance of all terms in the model, enabling the identification of the most important pathways in the context of all that were included in the model.
```r
@@ -719,9 +559,9 @@ So we want the to find the parameters $\theta$ such that the probability to gene
- __How do we define $Z$?__\
- -__The simpliest idea:__ $Z \sim N(0, 1)$.
+ - __The simplest idea:__ $Z \sim N(0, 1)$.
It is not impossible, because "any distribution in d dimensions can be generated by taking a set of d variables that are normally distributed and mapping them through a sufficiently complicated function. "\
- -__A better idea:__
+ -__A better idea:__
For most of $z$, $P(X|z; \theta)$ will be close to zero, meaning it contribute almost nothing to the estimate of $P(X)$. Thus, we want to sample only those values of $Z$ that are likely to produce $X$.
Denote this distribution of $Z$ as $Q(Z|X)$ (it is infered and therefore depend on $X$).\
__Advantage:__ There will be a lot less possible values of $Z$ under $Q$ compared to random sampling, therefore, it will be easier to compute $E_{Z \sim Q} P(X|Z)$.
diff --git a/public/latent-spaces_files/figure-html/glmpca-1.png b/public/latent-spaces_files/figure-html/glmpca-1.png
index 874a0cfbf9cc88ba2e143a78a404102ffad6c806..886a4e848259840e818bdfe29f51463fbf747570 100644
GIT binary patch
literal 106062
zcmcG$WmFwa&<1!DAOv@}1b252T-<`YTX5&%5`qT^?h-UWaCd?P_W;2z?(Pmd<o&)q
zyZdwZ>>NUdOV4z7b#>KKPgN8CQBev7kq{9C0-?xAgH=EvI8hJ?rt|G<;1h3Ha5V5A
zf}^yy3kXCK`tt8p%;u>%2=opl1OA}qk#VpDF~T;#gFmsfs5h@^*%cB+WO9Am7Wo64
zC@dg17aCr4t@=lxsb)Dm3+frBU-{0_BlIr_4h|MWOv+kJ=2$4bx@~y)IHngpPN7<c
zd+uQC{?>-$d{kh}zJ8d)!4#}a35?+7+JR~*!T)y)0+orsM*Hu61@2oX%zw8YuP9Ic
zr-1<oLGZuZ06fwEUz&dN;0GCAJzg*CmT4$Sy?W_vWvEa-6%!YCYnK+({F)*nx5)HF
zd#XrjcK<Rf`bD0g&g3%v7H&SixhZ9kD_m_Sq<q1?<!~$A;mQ^J<@X@rAB~MS1<3|y
zz|Z>d2tM0!vIS31PyhQk{O#?nCqHZebFj?8zxE(dD+tr$e{NX<U`hYG?L>MP_&>5b
zc`d#2Z*>3Pn$E9GNRhQ2HSepas0fmTLAr<D0$m;cUwV`lBmq7Vjp1-V_?wcFa&qFR
z1phK=DD2Bph-$VxKivzFynNz8=KB5r9Nnjvfllta67kr}%g7X$luUl&H0_JlZ+5lP
z(U~7iWC%qjI6G=NuJ^fF>x~>59E5u9myM5)qY!aF-0fF*wFy>R>Yq8y20BFtizy
zM$&nX7aA&RYt;%=6w)}Y=Bmx<69=uR2%{{zLr}KIvS)W)F)%PVEJyWPJ*xDW9lW4G
zcZZ8j=Uu@_TwGj$v}0pqfsZl;AogJJmpoBr<%wTG@JboH%6fWw>grU9vfh__TyA@R
zZqK(Fun{#4QtKtnYv$_h7U~_A+aDf$N~Z~Nak;%Nc6uZ6q$DJ`7_WBnVhmb6oHhp&
z<7t%2mp`%Mx8LoRCL|=}=8~t6;G(0W0}uGzoaov&QBhO>zGN>CRenCm&CQ*uF!X=8
zIh~)M|Mu-$v1$>se)FH@<>kcW7wI=614|!}RbE}~e0#Rp+uO@H^t-Q5jxtWj`zk*_
zpHZtaN8!@U!b13Z(Z!;MkDq_uq-tYhqxE(xeR_Ht37661Y=CBJYKnrKoRd(&+<X(V
z><a<jgeH6wu-+({m|sv}x7etR-TUPWY?NetdU}iB<6WLqOu0^-Y_Zx5Ud_T`McdVU
zyYGFNbb$&LB_%#`$j_fYhmu+D@9$Z3YWtNBrj$e;Z@06}*|nvmrA<ss6ciLBC4X-Y
zC0`#dTwg6Xv}ENp<E!iIF98iRv$7PyY;0`63N$q}Ei^bRw|QR=v2+Mp45#2K8gmjp
z-}H%WZEjXE5)l!VYLwboTUXcAumBP%)nt)!K9Ws!{}P*?e&2<}f*<v}zh63Q8&H?_
zhqIyD+FA(IvuIc3MQVa?0euuzx*qd?s%dQGegEDVSeA*232^?jwV~hbW)u-meQ{Qu
z&8z`r$t_0cDn+&cQ^IMgP+@<jY@ya_3K%>S?ohMa{@VI__|9-D$C&WFt(Vu`(Nc@$
zSk}^yIJf;7;2lS)mRU}<V?{+pB7pdlne}yQEJjq7gwzcW0Hd+o;E=6S>;uTZqUDHR
zD$A;2K~+VCuy7OTr{%DIAq1H~B|9uBDXH9`?e6AuJsW6xwmGElW6dmiS>gZ4AS5It
zDEP3MY)Hy#1j5+8yyJm-tak>&_&?t-i`*a7R904QDV_p7ZEtS&_Vsl<-R)n-FU%cY
z0qYm?<x8VMA&Ifi$uD>;YI&`8AJ2~;(J@GbeQu6{=Yx^(GM<6}Np%LXz99wWNXaQF
ziFlq-_Bmb731Gm%!&m4vO^%IKD5y(FNR(++b;Yi+BfE?VU4x~h7HsQ*4%$z;kfIMV
z!z91rvq6sZ$oZW&q^D#b9v=-oR)g=Lmyh??5VL*($kES|5@%aRX67eggNN-jZD*zP
zxmfr*Gsj97DrG|}gFWYKt-3?e9R7YKCLp+N=y;4;Z(M4DoC_YWsk%^=0LmsFii$B2
zfx|#-#eq?*R<fP#FU-g|Y{Y6iS6vXSy0N*5F@eIfIPPfe6%J<iJln|6r<@(CrT7ZS
z2WSh8ZNr-A3CAMwY?<;$e=$wyFI$TA@NbnVnA7^tkGq4V4}g8o7H(5eUveH|LQypj
zF(yXX82>Jgg@r|w<Z6~492~5`kji1Hm^ZPz-WL-S9lhoG1T0xJ6FeH}hNrNwu-{rw
zc$sAH`9qaypD?gC>ZKZw>txR!m(!ZdKIaO>YSx^Dkr5GkKGx;nO=$=gCT3iGJW*1D
zY{B{V7)>r9(0a!RK%dF^U3b1I7VS#|ite;u)*wqcd(lrM?8D1-j`m_#(Zuk)fWepL
z<OGBfQvF5sy}z<kRY##wc5&p~<8D~8<>o2NZ~xv-+Rf^FcR|O@JUTW8u^kv4rOtgX
z9#Ts<Ss<5e0PKLcILspN{k=V%vR{`!bUdg?Lh*2LP6d}2f1EYBZ1YQIEqiWfQb<J;
z1LFY%0gpoXr?Qp7d>%ux!k~>X5g8S=(BkO>FrbwWFTTf%GjBo~tXSk?!z+}|kd|bL
z9}<@4-fO9y6bAd@la7q9)KMW3$@dwNPn_Yts{ENpEdIB0fJsQ8Q{5WNCd0!k(kLYf
z-(P|(>jTbbIryo#D2twf!N%hN*b#lvBnyQ<kl(;OCf#wb;pZ?%<j&dJ+i$h5tgLX^
z%-H^|TwVDUBo#yIRvT}_nFfc1yXbqp6kVxLHx<pA_Oz~Z0}pt|0QmQS8`_y59!RIy
zx5*dgI+O)0<cQtRF%A;63oqXx^~Z<vF*i3iKy&?f3z7-zym_p>Sr`}?n3?Sx3zXMu
z7?k-`Ov*GCYV%Dq1iM+8D)jM4NFIkd#(rv5k#lgIKir-JgAf9|24Felsi&&Vhx8by
zPFVpd<t&H+2xUBvuUW~`+?;DEF*S8=bM>RWz5P^FwEZ4n1l=EYcgV8R(&nAjqw_*g
zN#<$2#|8$hT)WrK$3%`j)S@*fC)zq<Gct(DBch_*%+<N0*WV!Hvl?{<02B6ke!MQ#
zC<E-Yx9{s^YXV5{3m#ZPr>=qlru;jKND5q}m}$-VQLke5c)6ove|@gW#WHW^7*IT1
z92_TNO_8>Tje&T+=pmp}PaWQ3HCZqY4o+0P1GKe?BR7rJ_%(*Px%ngDj#1?153d|L
z9+Sd;$B-@0oJSM$#f2fi5l8BtAWGc*`fs}FFMw=3@A7!r|6*rCaIE8IE%K7j$Ib0h
zj-}0vJ+)bww9Vjoue4$Y5;HbDtk>qng)x%G#lXq=r;3fA|E_+)o+4M%z|;H~+IA^k
zcj$f}2m`N}!Ml1h#g=&Y9k2+bf?9?vfJa%Xv5cW;fH<gyhlj^gE95RG8CQs$Bx)Ma
zv9MfUUv~g7Q<t|ljmyUGW;HZqYA9X4P$8Wg1Mu@1c~dP6=KT0?07<!8?uY>co&rpr
z3E&-5Q&X>@-VQ!Ktzhzj;bApe>}x<ZEwg=RdY8(`0GkRJe`c-9cf!I@lPX>>Uo?Ey
zl~^fKE3E_I`-FAf{q?c`W}@Z`j7dqs5Bl{{L&KtG?&%~{gjc7x4|o`GcUUxvt$<XN
zm6bny_~7a3`6g&J5T5jJosDMRhhzJ2>)r?)z_GdlUZ)#Pgc$IKYV<BHE@c{}V&6Rg
z_3Y~E(&3c=94(%q&*^U>2VSu{Ek?jjS=4A3t3B;1`8&7C!*>Hy3phgl=M3?1aqHa=
z=Yh^i1wB}Kcr^1ShEv$qfj)WN_OR=GneR{u1wBqe$^04t2mn~6eb;6H<Ly^;Je9W`
zS#utzfyq6Ajx9zr01GiHm&|N#VPVag*3;7i*t{7Q!!g$3(u($GtEoajodLJDcX{{p
zct4iT<1m;&*W!M-_w@%S;YiDIdkbK+fF@hp+sR2uA;G~>q(WY&YrTMfX3AcJbld|b
zU~;a;Qcg~e#jt(YNzcs8%-Q)2fNlVY(PNqV^-seDfUx1h6<OHk?qV14x@jW*?L{!J
zK%Zg&i{NwGiw9YB>U(}%es=q{i_2o5r=f8*qwB!e+z!E7;-CkC9BCOD^{PyI=j&|Z
z<Ku-$kVG{*@d1$S*k#KNV9S`W5EP=VT`fR<pnw-J0a8;_^SM84K+)8gvaa*LUs$H6
zrw70rF-PvpP7CNWMt(sYmh7oez;IqK`-`x%v;Xr_W|o%cf)y&o1|F+$KM7EQ#^VYv
z$bDy5OkDi9?b@JE<;2R$iny=$_wQ%|4vW>U;FKz2pjpoSzfCknmpBOjqI2+M7q<9-
zG_Pzyif&^+URqdoy^Q(a_5U(3@YrN`uB)pnQpz43{&$Uza;J|l4%sg?*9D6M*y{yV
z{Q0AnsfdS<&kMj;z}NsQ?%L`&1pM;)XlWrDkUDVXm;=B%3-wiw99u4}7k>!%0-zOu
zbcyV(_yUz=WVGw7amLOOgUKl=^K)~%tm_8NssZop*As?8Lbq7GJ5{uQdB^=Pb^w9w
zssT;i*f0Zvu5p~!YB=cFn8V*nV?b{X0nBJ;XP0Nz9y>WXIbEuGE+_&yTD(8*Fl0_9
ziuw(#{=ss`^X06eVT-$+sHo^YVnc*Eo7lfGf<TMi3|KdSkO9r_KE2tQ$Ya8TR+~qT
zSnLB20rna{<UM(T%I(d1jHQ_wHV%&6QnTCcWWgcBK?H!z6|)4J?3Bh9!g2w0kBt}%
zUQ2W+vhOvi`fJNgu0o&K`09@nb$qxnez4f;u4pUi*g5c1SiVZJ9`m&;ufdpoL;8q?
zzrTMU8j9<eUq<K>vBvnok4k-ONEcphdd$hP1zD&)`_s=k>#qlxhAnDnBmDgQ6d>vv
z8h#fOQu<_=0Yx`Ac!*=?p=e~(xqL2LoUMv+(v&<)u2X=^d9jJv@eRe5k#TWxfLlEd
zv7C%T_?$CsJ#Ed!yf2_wF$?rhj);uhbL`tUJu}0OoHy|ai1cP_=4=5a0Ox<CRijTV
z>OS?tjg%;w3jXrtUEncqnFhn#*WIk|-@ng_?!{Bn&?r%(U%Wox4f?gxcw9X32{7j`
zkML(IqQe#m8P`--f9n*FSzA}|0U}w+yx1@R=uUo`tu*cq`_bB}S2|sv_p*b5OH}jh
zl)4>=kH~>Z7#kZ$xdUi(IvD{K)!t?`<g28qfkD<32=+te!Xb$l>QdIbx8R=h)-jPO
z<`oaN@UU&qG08O|;&|7!%sHn^hyJXS%o#Z1ilQZZDWq1S)y!Syo0JxbZZg-_EE1ZC
zT-pdlLzzCF5+21NlyPC<tj>K`esYy!H3gQqhldB==ylI_zuX&c9Qz#rbD#-be4IK2
zqDout>u<eGUnTSMo?kZxuP?o|pAZ)g((kse(|I8URw;<{FguyR$~`no`X@n025*9X
zO})QCEh0N_Zsr#og1?{?h6Y2OzRxXcne=_5jO?9^?)q=`ApL<p-4zmTh>K7%F@g8v
z9~(RR#g9ftD?q%FZZG0>LEGmfEK-+F8=+CEPM>Hpa}f<hW6`?(?5W7UHUgt;Fsy~D
zN4y`<iCL)ooKg&`)`7W?J@dPwluqyM@JG&0F)`vsg2`8TN2dZk+V03)_1-lFFWKWs
zOzfgHufHZ`VZR_2_9NL!VbZRc6_`n}Y8<lV7HHSnw^XxNT@3+ZA4C7g%fbcA;gt8u
zL(|rE-dXaH&6Hq+?;lsziq`>^UC%63qmQL_%P__D%6>+654_XfDNv!a_<qdWcc-E#
zW!uzc#;K_}9hQrap08Z&eK&8VQ#Ny28l}{%tHp>LEEcG}BT(*#>m?#0GAy?26s^6J
z={HOwCrut0n$_LM@#XJdE%NGxLjZ}auCAg$aPaU1NCERx`=UXjcmfdi!=mGBOT$sO
z;h0`l`HGvAT^<Ee9y`vv7wY5!R@kqm1ab_OEr<(KQB@^6<cAy)V*pNadW?R#@MRhF
ze_L1i-Oc#Vv{o^no47w7%;eH;S>oA0IG*dW`2UzS&SeBzEpM+Q2=+Mvan!q9fHL6L
zGx)rHtKZ^|F#+J$c};x4`q{kwd@`U*<S*o0*z}qJuNvxWUN-$1?gg^@WW>;%fNMWZ
zkcWfgva+54l7){tmm^gkz)<eW%CRcN89WXKEl2>v<r)anf>xB({MR}4^J1=DI>cS!
zh2mPFGvIsEUSEF&JnAOsE>FnvwkwWGj#w7}fG2B_EHik~U%&dSh0|yN;2fYe0OuMK
z5~87|2FN&7zTTuaA|N0jgsY+WMQWB<9;=}aSB)xXD@WZtOMY$CAeSb<Jl-%?$gjYC
z7~ge`;+}C}!zYY^$>4XhmX{x%HT2I+O488LDVg|0t(ej1xGGk}F<JNTZAF8PDP^V8
zEh>}t+hfmO#*<&2z-k$W&QE`O2dibX@IH&Zjt{w1BE~-+1VeIZXQp?;q|216GL9ir
zz<f`b4N^Pd;o$6++uIaEDXFQ;wW@MC5MLyb71yOQi-d=lpq8NVbiH1|Tx7wy_|(ng
zZQ>=xbhq@-4uh2@z`d_B3MJ{#<Mp0nOEMr&L?)hexI3T=3PJk>Ie8JB0q}m{Z5QYk
zd2^Rt+e-Qmn|;_H(9@6T2U$GtH@W0U+g%=N*`nO%4j+=n+GTEccese`uKrBnsVW)D
zXR)q9rEmu}NDcbu%~%Tz`zJLtIFPXjNhkdsbNj@B#oh7x$GnAw*_yp4ryE$(E*fD*
z6q8a>a5EzMU8|X-QD2$7eXC&8@Z}5KHBo|A2f(yk9{c(2?aXaO-(B{n0zGx-iHUc8
zhL4da6mt5aw>p~KPnY-0^>lG_kevzem?EC`lF(h#ZO^O<mUoFVMT@M)M<hJ%?k}9_
z65<OnxHI7#?9x(}ow4p;jx!Wa8-PGYoyun5ypM1njdX=AG>xtd3Z{~?Sfai6MaSBd
z&FsCUx_2j)7V@27%hIDxE`@niXHy|Gpg%N6ibh6WBma%yLf&M<U%PFNlOg2P-k39N
zQC9-<$0^8kO-kwu)h!l7-1yyzo95frlU~bZ;rp>7u<~$oMk&**f$Yeq_ui1o6ec)6
z3E;~zI{W!3k_=af*MFnY*gm|7E@<>*DTxg2Siqv;oC&)|+wR_-SX#)<cz_J|O|VIX
zHZUE!7q(Ya={rv3*!*=;q^J7?X4h|Or+CzP?&Er2`nZpVg&K?^pB8+^>zh^sB}*Qm
zS5UNiG>0VS4)G_>DKm^2^3^lr`&sP=x;8D-pOrIN7L>QXjcKfX29dRjJo|VH`L?kw
zUbz+W455xwN3j)Ojp5bQ)$MM4e7&wD3P)quWbERr?Nm8#Zs<+GDp=Q98A2pf3w&Rg
z5MA$D!NCg1(+lx~H&7k6zwfMv%@Q4h11C+L77O|%2mGD<1`4?hGlWtt*i+_D2?2c<
z)^2n9<=ddoV=0@C%1I!vlBz~-x7(H1n!naID_qW4>RdH?7B`4;{OB+@CHJU4$PEW*
z>`K9l5CV=%F^0HxvIMN24Jc{WyY+jpI!3Oxl<#?z?(DuASI8e)U_=r99LxV(uh)iz
zF2))ElY_-++vH&;2Jg|fkmefUyP`#$(x$&>p}XWq2{8rH_LCI{(<M7%8Iq_matv{B
z>ta{TSY6aeyaN&Q0$ctn$4a~`Q_a*(p!uJbnSda4P4o1OUVQU22T5sEnzs{mxr1H!
z1-4F|6NZZQ_Y&{Om9aaX#;$gt$}k}pcFnUU^$E#p_$btMk~p|H?puGGDDIWa3<m2L
z4#3#B80<d7<NFR-xaj#-t~nD%UL8zxEkX6UUeBWmO-K{T0I}@_`$F%p41qBrf1%Iw
zcg^~>O$A--Y}eZBZZ+mHj0r+E7*WrxBV#zDd`tsq4D9Wds@QyNjdN}*;9`BEOurFo
zE8p2uo0gH9TyrSF2XkdxMQZXj*z+YC+o_6FJE+W~Z0T**y6ZK9iT}|3;ZI5?*>*SH
zbh5>>DkgN;)%~c2tlMqX=z?AA66>i^gTbM}vDR<;${GXbnn%=?#0)31i`qYEOYe5?
zAK|Zv+wZ@_nHEv<EY_`;>f_iALrD}1Guoe$tPXvF7~_9v@f*fGt?TGph}FZZYYhhU
zj_x~y#E(Wa-Y#?ZiE$qecMGAf7f|qI?2{dcEW9p2*;=c6#<oEk-r+`M24-YBjL+5y
zwwfv}6m-K3Pp1pnh|ZB5EEc=_$cjUpgV23#rkTs*M;-wo$U(w}!D*FBagRxT{sG@)
zyYzwk(^=EkoSb(e1zm}CM}UoQ#e1<ACkpP>W!%e<a0g4Bza@EBcA07}L$<0MwyNwu
zg2L$;ba0;r|7z{FU$LA&E#Zl{Q+@%w64_s0E&BNA^t6m|mQjnEhL(~FZrf+;ZucZp
z(|d4C7N_$b3RYD=5V+h>{#(QJ_J;Na&pGdHbRtN)1Mpz#NTlE9XkR4`{k7UGGj}P|
zW>H=r>cjkL39Lc?81wKL^MmL1uh1+V!r2B$-##p02{is~f@C@jcC@(;+3lF=2pqq!
z{Aq_GA?X5Q&M;H&D(b?1lhj`eY(Fp;&Djah6j%#5-~Fci?B<?kvd#;cp0(#L^|qjO
z{83(_{dkR*<+H22@uFa+ge+fxT{dnvH_-g+Y}hbLwLx3ca03kwi9q|IIH-QaA??_A
zfVWhukw0(2)2~C@)_t!rdRO}HAmq<NTTtsE1=6CP>9tYKys)23(6q^=>pNh*kG{Ml
zXIg_Ye?GG_-3`<$zH8rw60Z&~E4Vm+;fNNA{BlufzF79iFzH5?`<wAjSCB-a2pAe)
z<#uIJ9`FK3nt!4r;np^2>~BbjA?R(MF1(L2A;CzMp1sAml^v>UeXQwobLk-EU*AOs
zo>)Y92~Ir%$=^R(F8J#(X)q-nRJKWhU&(82!*61NLyA>B_`^n3zG+fMw2vzTF01p^
ze@|fF;}!{RS5RS2d|1GZ?RomSO=EG6sHgaLj#o))LL1hAm0;vwPO8)H-zwla+I`>+
z2`lN1LwwH?NQBXSb$sx{Ct$<KP$_ggoHzPh_0IPB#U%#**Zc<-gC2_>MG{-jBGa?L
zI!E^(0r+G*MxlgpFTRTXFHgFiZEL3ZZ;k=AJRy1UqMb<n1Iw3Ph>{ZE?nVMg|I_>o
zR``gZeaq;Gmw<slsrp@;NakwGRARuC<#cq>o$jcx*JM8`_+=drU5m2qfH2&G_pZAo
zZcs)VceIC(beY<F?fPt5mO97Jp_GeNfs~_1R(flGVq|*5kK|{j0A8LRUudz4d+&hW
z_67J*s71Cc&AGehe_r`N$*z4#xh>*42REujBKp)qqjK(9rFdv2W2$dw`)!7=LxC18
zx*?64PXErDCrnDE6pjtNqv^AqL7eq-?_~f%AddF0%d^Y~HkrAucN1g33C(Q{zHNZX
zn1}i-cP+z6pUzc^v1j=Jl~g_H2AC)VqpurV`0k>yj!l~;$ZQQV&woDUMIfY6_?ksu
zVDx26R$ZA6#nT)Lq>(bePZj+v>Ymi7<-Wo@V8<itzrFLVL;A`m?J-BXd}~8FuKk0&
z8KHk??-@9Es@`H-ci}S=;)OS)S&ayt6o-%ygFaqv`cci-;*#I<Mt*)blBBfdKFzle
zB^*W{9}47NSJeMoN~3UZwbRw1!gMARxv1@ip)A=A9fGT$X0MYNX3S4$R1OR+&S>^~
zWc{gg@X|RoocBKs5Qk{xX_XqOG3wVe>JSUq1|C!x>O8NSbPmL6^T?5Tk3Ecg`uPu0
z6@1OsujPc;bb4MftBBr->OUg~0&GYde*H7{Rk`wqb1D{Tm>^D-)Y?_3ld2Ti!)`xM
zdV5U@W0cY$D>HNUsPkgREk}1=*I>lZSf(t)Ff(o@3g=GzUvKD=%k--~iu;(N10ic}
zx1&k>DGP;W&()ubLU4elNd3#69*?J!w2D>TGM&TlSC#A<grw-2D-FjB9h%rZHnIU<
ziV!Yhj^**P>P`NtJ*kCx4TfZnL8AN)RrWNI`^Rg%1^<S5=pRH0g?J~r0f$(o4*e^$
zXvZUxsUUTeSccdkrnH62v0;)+(GW+Uw#^E-u3$+xubLo-SfQ*Q1w^B+u&^{kNxQ*e
zg!Q5*86me-XKM>}^SW#?Qd|OlpW$yOKgKU=hfB_^$>Rp{I}Z5NQgjzD92Iizer;Y~
zktOWhxEy8js3&L~L7&d&u!`^ag)piZ(^=oy12`OTOac}`+5X2&4a-72EG;Vl>d((|
zhCYqC8bt^fbS&FJ#xmJm#Jm{*JF+vQ*Vc=A$ZGogYYUJ8{vJwt=K3yE4js0PI^O5|
z|JDL%04cdm=cXdlQ!lSJs4X{^vXM~^`18FDiMp=t5GxQRpSr#?7_+DW$OX(;vF{&?
z)v{0|X{;M`m-)?}RcNe9ba~@Yw+e^jADdW`7vWz0Y<MuQu=5=<Crx<1=ihBZX~0HI
zj-G3<Jn6eM;R^p6fksN6%`f9F1>ja%BdT-Zg^;`}hw~dXfjLUb$SRu4Vj_xI=ioFB
zokA_KYSzMQ=>Zf~%1Gk2yKrgBRdW9u;^!I-T9YsobJI{4j(aE5#TLIT+6WrdOyR4c
zfsC(uH3Q_avbo+8)Jphlm%qcEgU=oOf}o#j{{9K1k6zEfeV6M(quSu`^t~~scJ((9
zbl9gs9<QDc8T;LK-QQry6vXxa4Lj+td?kJtmBy;Kd%S(88YBs%E`W$#Y~n$m%rWYh
z5o@YEIRF1flza&Q(Lgi-ssxuwr}iJ$Repm2I^i_~vX?6gf8<XvZ-*cQhV&ThHob^^
zw^CK%vW5HhQ;dln%v7E(hbPEYNakbQgV1o=BocfEq8$(0DlJ!P{V@LgRm@FxmEkyH
zLAg6t41(TyhBnY^U4)SL?&v(8=sZoCO24^~yT4`%S|4mEgU#x+%+F?OF#HqabXul4
zY%jhU=Y=L<C*W@2rhc_ZoEIrKJpNW`M821tP-%BQ8q|WeaL5#e@h<n<$x1;C6DlGC
zG6I6r<t?B<9!!)cFZ$B5bhJy$pZx!%YIK_{;52!?@K^t%YV0pFaX*A(BuImM;xn5$
zOC%N}VLq+RUd<x)+VBTnn@cUzdDe>vly7PdoO%K2h7bfFarU$0HOmeDB-5pP(zlU_
zD3OR|&r`~LLsjQVi$0HwRzP$|OGjJASjO1TFf+YJMB4AP_+|gMVz!WS;WrH7-J_{8
z;Vo$CDjL7RSTvS|GPXofMgBSwj&H>GZPC}u;b3LX^pSrgW<CRclw{t-w0UZdI)COU
zz~@Aho)H`nYLo&bh!=l^{rhOi=kRuV(`ux-Na~XFq8#C_aU-^nFzfz;h741+*R{4M
zKVAh%p}gQ@ImAKd$#ZL)Ju_$RPg;)8@55!M6WtCZ{xL?)=V<)h`&2WG8sp(VCz%f^
zq+4?qf`1vExV~-g-tB8GFOMESdnJT`d863F`c>@vTV&fZ`21un*ze`#ip6RsVVZpe
zQIb;b`5L9V_`HbBllzy*-8c954F=dcW(^CMUP2fHX6ywjySt9fv7&@r0g`o>w7@Jl
z31MEpPO}MwFZ%rX^BWYRzn@I?^)uhSMegP$Ax2^@DPf?S*&<}(|25k4<@aUu&cf;@
z($ZJ9?dslacDFw1pAJFh;O7rwe_(Q(N3wr08?mP{;v!+(-rvg=Olk~?4*{0o-CIQ(
zW2a%)pi=4`zHgln<|K1pKYDg48n)<lpQlv!S4rk1XeVCHaNVrP-7AR)jd$hYLaPF0
zNW3}`l$Z#Z9z0zFHNMqyEC&MT>Q-)k-BE!h<GbPxWSBfqRb?)XTZ+y054nf)W#p#P
z>+H|+%5t>s+K`s@05aEW>s9!r*yi<pY%kOo<Ml#rWEN9bJXAx~hN|Mw70j|vo`@OV
z1FPdsyzD`J|8dIv-ufa@H^wJU)!pgnZvkVsyNP42=!{DBe%LvU)w^j@iY4u8tME&T
z4g<;<s$XJvE^6)ZDO*y!$v%odzvhzd^zgm{HKV-1x0ec^>iU}^4nuR?Y=@NGp#ndw
zID5nsv?X8bnt@!0)svdJ&<&LiA}OY$gcVzLwFk1vBMR@w9~OnXWnW6Ybu?-NUl+x(
zPxzj`0=cUGSK71q``t{&>h;EnrCY8>FKnMnx1=LaNlJMZ`nL1xZkd#D)f`h)y{>KH
z<92<s*1+kIH~cjL5mwwsWnG`*6*URF*j@{@L9Vv0JJbU%Svt)Ij>a^Kgh%$%C=1Ab
zKjYf#L?6X)7WW(gf*ijT{NzM|W0^OV{Rm|EA|i9Y;48tyf|gz@T^;{C2JodNE>V6V
zw+ic%OTK@rdVR)z$$oj);7<qCvd!S=3Il4==1SErS(c4#+Z3bhF`=`mT_!B}kyOr4
zis^l%vzhtBmNKr_8LM1$lxICg)EuA_r<YmkSyYcN7>1Ggh{Ks{@=*7(DY1ON-$I{F
zrI2`)<6RTG$u#x2edDVDNtNj4nejJ2>C3)Ypr!J(lp>Glie4vL1Ty^?=Gd8T&0Y1=
z_H+J63z&A$#j0z%&8PCw_kBck-UUc=Eq_gdN3ReqO6C>5*XRROQ>V>KUigzJc5%~8
zeul~EOc5Pd%js2Q(^^o)<W_bHi@|qM8iqxHkf?;7;T6q!x1B#cjSVZYsJ2ec#hT$}
zSNvdd*R)ftx%Ns%QqpG@?5)-V8&&-B{Y`zH&b(>H-9lALSyszG_G#jFU^@0g8&+OO
zKczEy?wP}Y#$lJ0Zac~NFtoLS?i0OJITHzeicGfbjO<!Mei&5;Y%)+&cESm0)%bd%
zX5_J-%mSK<<ST7kYz+C?C==4=s6rks-Nq7))>WrLdh7bQrM{j8O;&H{d%AYbS6&&&
zPd%>|o^_bq$DevRpN?MXZ8MK0Df^VG?mNh$-(cF=hjU-wY-Y!KMe!%Q^q93-__WBA
zqalUG%9^!4#mRqFuKb*VgD<J(<kLEdPr<{%B+tGa!u!>AH->YCDXx}xJ)kZlLYV5%
z0Q09N&!8#oodIH|#Fut8(0JLZ7#7H@UO^-xru_r|`ZN<&;>GgPnm=SJlOx4#EPgO1
ztVg76O6BV4WXMXVEmdQ2Ds}a>DC8pEE_0tsKp?PULet&)k?9AAb&UQ~@veL6l8T!8
zvhQvh?wMijdkpp=h1JbA9BLl0(QqNs(3e*ZcmrM5;19i(ZTO0lmA&mp*ye4b?)vL6
zOcDv_{OUy?*CKo97ts+wqJXhS0}1^NT@H(BpE!WBT!#ywVhw%Eq^YT!GeHS^en30#
zA&-+;!hH|&2s(dYVNQ~FYcgv=u+JtdR}ELQNOYk8nu%q=EvC9%8xXm^AO1rYvy%G;
zh(nuYKRDVda~#NPoc>T-N{{`<7R3G}`?+au-A0Aho9a?O+}#7TQ-5*^3lf^%bv-@h
z(WNuxjE8QRTq%O{%kp3>`SI~U9(Y9Bt|p0*!Ivf@TrPhgucO!-RretrAz{+*w(igR
zBfSzOj7sfP(mOfnS0cnqzSrE9&7-ro#I^8~gezjVZ$`O{m@jJ~(rsTRRYOAeg48zi
zv0i~hc>-~P-oN*3&&IW3%@;FoO%AgiRp5e}8IrU@v|?d35jlDs<+lxdslX`0$u5nm
zN)s~e%u(h3#Pl_&>eDD_KZdw&%?Z^uaS4>Ze#J4t*}~Xse(Sj|_>lkH8G8S-lIwh4
zCp-%SUlG?coh|Q@SC(73KT5Ga{k-^yQoA%P_M2eD>%Io|zkqeY0?>B=X>oOkJBb^l
z03f2gAjs>mpyOY$oGIZYn7ZlIL1AI9Q~O5^Wb8!`r0Wd7jjAmrwQno3q0IUnn<Q$?
zjm?igPQTCf7>TE4V^I798#2V?(miPEN5t)5VeTK{`?Kkw4H`MoL1rl(S!<=s*Fcxd
zC_x$1)ZCl$;r2N0XdYDqS?aqBojZXHXSpx~C;(L)sI1wERV>0fR&mkRWd(yLz8{qX
z;%UK%Bhq8$t5Kx@C|;TtHcvLL7D|hK{E*CVoD6K%VFKOO$&!FsaE|m5SFUhrW=K6x
z{xF*;t4qdfWMNJgy0kYLJ_4snrui&}M`oANh85ed+Uwq2`E@v$c^Uz<f(qEaPCOjV
zNpC|s(%XjRT)f@_mMLAsk00iy+d@af{XIKs6ouTtmea_frD?`p_Gq2#wm6Cb#@%jx
zbS0IFjeV)biS{=)=n5NT4t|Gs7)aD;S?gDwI+MSD`+dki9wK*^mnEMsaB?$w)=zWF
zWnhteM0C019P~<sm8+p*>P@Knd^4Ik3uG}!0ea|!Nh7^+O^D67{pK(I+_PWYgU46y
zr+31)Nhyt@dhKb*7N_A2Jp*V{yBCUl_g^Ql$(Fp>fTv<@*97OX0b7%PQ2eRh5U)oZ
zj1_0Wly;|8$=^CaYVq-yt)_1gYuv0{py`i;-m<owr6AD{#P_)d#*e=*I@;wvyY)<O
zQNWt`(W3GE<r9x`GP<g2_bj5IcOj@MfU4ufb?S_E1i#ko?<&uD?|>6tuYs73RP2#A
zqznUcefzr;CIF2st#?j|KN}uuQ3R<EOTYf;>85Mr=0;qsH~4U0Rj+{xYG2iu!}3zT
z&pXW9LR_Tv-Ep5&)hAHtNHGpq4ssb{*-X-(Bq%Mw)UM>O_8)#Lr6I!ZWbNnaWo(`_
zk*nIDfDu@Qpe$}(y05imy+4YQhdbxFu=^9HJfpl@{AfYkCcbP`L4I^eqobExweT|C
zmCfmMr?Vp3gwvp?!LmvtCKug32F7$IwP~T8Q-VW5$}$FnjqU}I@eT!?u21OAy?<?W
zgziEO#Q8K%t&1&NP>$lhA<qwV@(P(vZi4~d8LL6dkO{Xubx$zju;t^`;wPEeD`^^X
z@}x~na(Egrs(W>$@jCgN-xA2SyN)550$1%{`hP8x8ZgxUtyakDhi1m<M&(Uj^&}M@
zlQsM$SLL1``i5^^;U;LU(QoTK9ICm0rdRYi{9;?0qnYFt45$`BVxSWo_|fs_E03)|
zPRhf5V@8*}AnBxG#iZd;oYBpbZDf-=5iI;Zlt{}^Z~k&rnY~QCvh0TAgIOS(ZB8Dn
zxv3yh&sX-maZ(~E5<kiuJ6rr2i5&j7?A`+`62`8FOyMs>o5ZsoYsz|F5!3udF)$@k
z-p+mbA5%J;Ct?LH*?|OcoMq)Dnd&44g47J88v4F(XVJ_28!({8S1+T(SW9ydbe#Eh
zI&65HCs0A-xqq(tN)!#F4>i&>)RP|(LMULg)%!V~YF-ecG4JVnL_nT<Qqp=tF$<fK
z(aa!XankbL#oIhvaq5;QZB1CxxS6h&T*sQCB^s8(%K!aiFL#DoOY+&1LdT`5Q9o_f
ztTZEmT0_*G;D`4-ZYO-NK)f&Jte&BwkSsckuh*=GW8yof3nR+TQavGT;3U$I+K7jZ
zKOH=9#Y^bZ(0KbF`B5ps9J^WC`u+x>fO5*!e54}bde7$tb1t~DWOwD{>n2NZm6EZw
z0){R_N!k$;`@J3Qo|_za_uC&TFmkxhf_26H^sPHobgm*!UkU?ho|GLVY6{qq9430}
z9!uezOMyK+<&NqjrJOViN{;K%!gQM0p4-+BntyhB{hvZ-j&mkU7<74)3ZqQ2I<m{<
z?EQ^2h}8eoKA*Vn&kn)Rz=3w0tvfpJ9d7o2{W*>?n4jMBxJjz5TU}a0xnz=89g7^k
zs+Nw*uWac06Uf0E*|<W2DUa=@)Q}3039UH5qBzbK2s&NGC+M!3X+}l2&$0N`WXG+g
zC}rm%h-b{6>{FfA<EW`QjYt~g_|o+H((Hyy40n*xl<N=a%JQyhRX0@q$`3MAX|~c!
z&cXn7y5wWte#L;u6F8rLM-mv@CN1Xrw4f@di}kl$!2>S#ww&Bc@sm^G2X(vnQ}SXe
zpU;!yW6ST%^;+##8BJn;oS2pfD1`e{gcs_64=<R8ORVeVhVE62_k>)j4`yCafI!(V
z8&EH=3~T#o!1D?^-m7=oES1VsF<GWcc-)-9GV1fy`eKCieg-f19lL|bT-J$J5~c~Q
zP=`=o{X+EuZKLn3F~IoC(#I;1aXZ{qdb<7ID{01zSMS)L9eLxDS+wq)ZjE&9Il<Ld
zI{L@zPsU?N<=KZ43;!<0pBG=)>7+=_&GU_~(yBs`V(Y1Sc=r@1H#a#?eAft-VwTBI
z<*&Xc{5iHkPP|OV4>=^`@cDfr@W6>7Te}ByLHXi9sMZGE67)A@KUDwip<-d9nKk5K
zHNXZuNkc-LKx<8~eHNJKtDRC<gM6X-v)x$W;Zz4t&Dm<X011E$@|53LC42z)urF%T
z+3fYH-BOaU+!k_fr8gS9nt1id2xoeU7vz~~njD<yhv~K7{EhGKjTN8x8usHH4psJb
z4Yq-5EL$WZw4kwrmoHR7Zu(vZl6An<a~I1V__=Uy)3=`Vc0=V?v81_#a-*KdotVtt
z_l;YLiJ&{yI04Ehh}^^Dw_%tYegNpMyv|D%p5M|@mZUVfpgyfQ=2(6@-`iU1+to^A
z=!;~jFr82A<QT$>AoEe6mJ^6>lhnhe`u(vo1U2J(HNzoIloTgwgk`&T(CZ0b3{b$E
zE7>eIpQrYk<r{ZYCCZ2<xaDA_{{6auu+O*63#DjK<+kV4zakmua<+O2DKI4%G??*F
zTA$~TW~|wR(uY9u<ZtBlAFKi+cs}kvOS2j-X~m265;bU|w5cr}9252}P-j1!6@|;y
zh^;@Fmp=BF-;3g6c2!R2=8zZSF(|*whCktxUdikq9R=#BDpXZf-T3u^5|5MBZahXU
zbS$j(-A0h$cJh=NXM@4lusy7$W0fDRX<b3Y{^839kW0PLG1b&0^3Myn?=dbTjG#9n
zr_UO7xMboc=gBDzO6Ki;QCdl1KXho?&j@^L6E6x&HAP?1->s7XmXN|NonQ1d=%zY6
z$igP!!$Pzlef<gC{wA0_q-Wz?1XuE6n=d?R>L*fWi?CUJC#Qg0WO$;;^!{lSAA=O(
z6p<R`$ICHnw_^wYvxHm0X<}=y8}pz&vGchW7>2i4N)AizkEXAOro*~0<s=?OI%84@
zGS*^L6v%^+{6NcrV=kt2baX&X>Y67|F9HUGfdaaNrIu@;Qg=+``5_F0LXd<+bas#h
zOJq*bJ9?^jk(+D?=^~qKM+sthJ9P;dPUg)znn0Rd5oROni!~%NKBWnQkgTSdR8}>g
zow`z&mDza5iw%=4vKYMqfC!Tw`RSEm@CZY~FLhhc!-|b3ffX8uEY}VL;^d~ZZ-wez
z15s#M67mFi?r=-Tbi^Suy_I4cvN&+bGyOZEfan1xkvcOo@lUZB@?a-!bTxb2b{^S$
z)+Ju~>cREz;nEnSS>6$7_|C^VIgwy`akuQ;+6;s4o%!TR@ER)gg2KT|k+2cGb}Xw7
z8h?Br*db|UwYxW6>Y0@d6u|>U`Yg#qQIhLGA?nrf@-v_d6~HN>ckeo<*j~FLDCf^|
zM=;FB&dopZ8$6^m`4Uq7M#tEVvg1{mP3npggoto>Hr^bBy52l+EdUHkg^(CWA38?-
zDV6V4+l@YA!FGJF<crTiK3`!P)vVF%-?^JOjDZK`^x=z~ghb5e*35Mj<SERkni9AJ
z^hP%pHAd{a6R<1gb^ll&j|$TMWZk0OAXZ_<Lj+DavzLj=k1^DYEP`Z4?kPhdRgC*c
z>kVZ6py0K`I!)3Pq#p+iMN+$-<$r%VvgI2TB$FWcs0vOD)e|P|FmIfIgkK>%aMjz+
znbgePT_1PY&asCWhe;Q!2|wMe6A%ypHD0<6_Q2tv;v!Sn9mF+?=iEA70iDPRMrcPI
zUt>rZEqgu+ykuR0qw16-d#G^kBIbIa;T&NbIemsCN~1H`uMeA2F-rr2?v|mWK*A}C
zt>J5nh!#m~++AB#1NWe1(DW)#jCT%1OQbKGaR_4~|H}YIM8I*3!+5%Nn%ZyVFalw_
zox^3~CxE7DWaxq@bOYxY9)_DwE!&B{xtPrUS)Sufof7w(&`a->^Rua~Sd_^<hx=$_
zJ6h^2Ti{?W)1hfs7tibIkbFOR4(>oqivL`vvcc6uT^(ojQ*7$N=oM&(U3#Tr&GQM^
z=U`6DQDUj9qj#~=_RYJ6z{wF3K@W5U!Hc)qe%m1jOYb)s4~1lAV=M}z(fxVXCf^6r
z6VA+{6h%i?!zmc!OMd?)>i`rgg#hfyXyr}#woCLzlKxK)4LM$`O8#8`;gb(-eY|m3
zl6R75kLyg&(j!7?2Cjv<^*y5t3C`--VXv^_Es7sMhkcqm=*S%6%SeK>Hq!T*aIhgW
zM2N-D_@W_|FtvFe-+LDdqHBI5)J{FLEUA$*<9}ZH{3HKiC;zq84OamZoU0$goK08*
zx^e;KN@>o%iduK1*>|wX&pPLlr{Np1?Z>^$HL&*(oGoQ})$Y@KB<F&9q1Ii)`sN3l
zeKmBK3h-r$8q=`>i=b#s5bRS4aD?jR#DI7RvQ@1OP}&JrGcYKhwhjtf;Nrx~NtYfe
z1W-XPqDp_t7yLAi*sgMtR?F(Ju?n|!gkFa$j@g*P7W@1TUol+WeR#&E@cbKVfG9Bm
zAPZpZl!!SOde2l8x!Ile`g@8Mud9&-$c@j!z6`jU-_~*%7Wj;##7ieuZCx!nu%Ylj
zglgdR;$>B+hfbrmx|33gOFni#e_6b+=rN)2u50kA;yh^dS4nW*8~z-lCs-%*-M((v
z;MXt~S6h$?1)F%Kjm!xRb!_a<nthSl{WMa0>QmE}qZFfCEnLj7LJ!c`FZHvRQ#4@8
zSZSbWoA59qBBF#P2$r;UIy`a>tCT1j882MAYvS0!9I#$+&olCE_bKrRQ2sSBR1D>8
zX|FwIFFR9);O^I{c%-h|b3mdrloeT^a`wkS&~{<|;ivC^^NsA%n0`ubw?e$OjWbYY
z(Z<z3`7I@r6v&_02zC#3P#oRy9%vM)Czj-)42t@j#>c{qCVZi))hU$3rk4=@+?3Xp
z9R6_czN84vzqdnuU06o|H-<3NS2lln_R;JFl=T_*i9S<N3QV6^V*Kn04^-<#uX|(x
zXC4*Mh6e_;TV`Y;3*NoOjqFt}LvvxoH|0(*o4Fcue}n3NpLk>~nOC)YUrCW~_{8YH
zv212H39{d|8fkbqGTm}8#9GS>ldgZB<^J02^2$)((%A<wt6k3Nu6m=-bR-cw5%K&t
zo<~8#;zjYQXO`dnCvmB_U5PdV=_4VtH7^B^Q)Jkm82TK((MEV!Hb>6c*3aqfFl{Oi
zoN{bt_z(6TGjglu=|4G-p!jx$d^~a!E8qsV8_EyoJGT8XEc|wpyg^igOp1_#apNGH
zmwY)mEnR*k_snMGlXswRT?0FtM9cW51+0;WpcF$Sbk?O*reUAlU+vXWtD;i;p#r-i
zA1bB&L@@KCh1(cnUf*f@*}Ue1cjR~hQuW`%t1aQJH$j1f4~nmD1SwB6`OcKWdv0yW
z;|Jua<9pZ4xJJ{`(z5-W&n`<;iaoL*USY?(Pa;>)-YAGTe%{=3Q_N=ev6V5dA$N;b
z`%2UNl0yW&NVs?Ua`??j&Ye==W{qV+h25EMP1$Z4thWkTcc_0gS~LyB-^{DuveM>6
z@VJrbHAyI>(0ldL6|ZH<z@Mi{U>}dIL~}gg>*UmJBEcIu6bu0SU853=vsmXR#9JMn
zZ{8XH**b4H)gh;_9HFS`hi4bC!?4^J<Y0?PwS3mZ^cI))Y|Rcg24}58!y4sG8m`8K
z=2~vVKH3$3Y2YIKYlwqycY<`nGtFOd+AwJeZ(x~Jsu%vju3jhXeXg3Kj|%jnu)Xw2
zYKw@8R66CQ+A~>RdgUbp<DV!`o%co|CyKY7WW(7r`8Vu1TU;&ir4YkhSA>R~GeK}f
zLkFi2B>RWcIXlPIX%Hc74}qbUb<;8RZSp-;=xB|(&ct%eF`i8(2bACPVH)o5D-cL0
z@7pcfp^)dN;{gQ-LL9p4iVxNZ<e~WIt(f*BTwhqjmt<6pS(2GI+vyKqmg6?96~1Ik
zR8+cpt@{K^TrIEtecN<fI37_mDeS9sn5mI9fT&p^NaWUrR7^)rPDB%bHfq1m0R|H|
z4dC4?I&L1EzRr6e5@t);PFpk2KR(8iiBpFR2dS8T1bHC>I#8@ePYxt$a%s8u+HASg
zNum^^*`ttw6B!Hjb_xy4z!5v3M4q<4070Y;$e{s6*}zH3Xn}X*7(hPC38I}h;g}I$
z?6t7vEbM(>qqc6%qrZ7ahW+f3Afre=51mk*jhDkgTP*o>LH8Ch7egjG6d6N~l4|ek
zw3Qn_NjIyaNc}jqd&|;<lQMHML!zuw==$YPjnZF6Z;_E*kEK(yitFn&&|yQ2U&FxY
zvY?a|mzQhMCkp@7!>E<VK1-R;11GFl%7?M(z}Am4^OZ_JFnU1;I=@4X9yF7CRV<Wk
z8TTY8FLLEj8hCgr+7lXPZbN^d=xoiC9^s~*UE~lDIGO4R9{Uv2ORp+{OFi^crvzTx
z86$tBV%MLIgc`BF{hXsAkXl;N+?*D+=r|3#LiMfF5Qm6J4(#621{8`5KBP?xM?_Zq
z6eh&Nnz|58mEUp|=w@Xcx_iKjSbtqhBRIwU(Vy!$WL6cu$NTxn3m{h2^0pQAau*6C
zVmfvwT~8V1%C5BT&oP;Wn^D*rasFkWUXqgfSf@ZTYN#6A<3#)~`81{Pa{-^3SJ|ZI
zUHjy~$M9v~Cr5B32NDZzLa4*47$I8Wu``no$q$ry@x1NQi|JQ)h{YoSavBm_N2Iu4
z$dA}UYnJ5grjjvJM@|fTuxt%X>o8m)k2dGCjC}1LhwC>^vi#$QKR62p;XxfJ*#!hG
zna9S(<@Wn40SW}DGmZ`e`~@qVkVljq{O+GkZn8vOF;%JYJjnRoNLi9OsqQ<!+9>%b
z_<a2~>PAn@^Xt%gVxSl%V1aGq3hTg}iR_*ESc)JAHxvgs+$nh5pR^-?i7O%U;h0Gs
zIrc05s%$1ncxWyGB?c%f5Ti)biI~T@3zmGo$))J8Q8P={Hso+#0<2mnf2!pOvZM5C
zYFHwa&rAB>T7W+G3PJh2H?=A|^~D!k&Rd;8;&}GP5n#@DS+3capW=Ca27q#7o*c(X
z?P};pHx8^`HzKxzRC-f4cm|AcM&=RD<%oA7s(HOco#KvmzEKj9xH6P+7Z(>X!gu{_
zHkkuvUciAH;Lv1(>}IRyxgg2AfFYHd1s63vY>ZfyUk85ag)!Fke}!sNMi|1)tz0o(
z?6J;!8C+*kI9tgsj}@jQC*?X!nIB?2AC=>73~1zmLL<cpXnvTTy(O85s>ri_TQ!Av
z*P%Bw%XLpz#D&4>%7W4ud7*f>PGf_tO3hdX6BHwQoNNP@loUSg!7A0PfC6V)pl#mb
z;^GYS^gwaFJhg6>iG-+VKoJbAqqf}w3;4A<r{76p-}_g?P{{7N{+hSpM0liTQck=h
zryb?_HWjDM!*m`cF;i=nwnv-5XCU3S!x<|_d!0RU*vge_>-+uZ;JmGpHyw>CLr`sV
zb$w=Skm(4K5t!}$v%Hz-ReQKx30Evr#zzHPIJcu}Yr4;yV;YBuR-)KJ>6ajVL<ApG
z;FwBOc=#<4VN6X<%F4-c5sm<-U-6jrc3ji=1CAI3Q_dDVVo!HSC~a8t7>6d?YEr!|
zRqLV=hr&&ZA(X`ri$v7Gy5S*YDoo!OU!_cC`Z4<Z%RkLjr!eNl8#Wuc^*qQ7kq3EY
z4+y)iJY4bT)%zujZSn95u8GMcg+r1Cn_KAgtjb$%x4FnM#$*mMhVwt#z~n`C-Q$8$
zu(hJY5W(9F<ShW$sEy~Ls;Z`;+Ox_io!WgR3Y^e{kh8Hl0Y~3}%Cj6(YSe;wyoHa#
zbkVo_zM~MhV!Hl;E+!zs3jJbCcj}OE`+7RlwRu@-3o?7r=PaM*!Y36`QjKhpDW4nm
zHiG0YgQwOaY|>`fCvevW215M)*LiE-;1T-?+Mw>&CMjKLadTZPvbi>P`qkBGwCrHa
z76p?AI>wNk`N^JERj=oqylw|N1f_!r5Md*&R<d?!`8Kx0fLLV~tLV!goLEUu@wNyD
za&oygF4GrL=I!@9#Z~P*K(d*0H2bdO!=`Sr8P;4$xxFPXVw!B#kTfY4ndoV3kWRT|
z9`Xz=(NB3wEs0#w@U}?I8)`6l;&-p#u?l^Xi*a*Bw{*7rBL+~x-+B*?;2O0x7ANlt
z7|<u+4_*Ys5XOTeEhnF^Y7NewnubgI=o;^tvw>~D!i_A20r}V?IBEFK<vjv*TyU&4
zzRdiyfJc?&qQ>|FvlpY2TSf{_Fc9XHss<;7UhLlC59i*n=pOn(AKDqUx{b1I14ch9
z;RTGD%seHAT-y|Xk?*qg4!S+?G&=^0?7A!S3B|tG(E5<VDIQ5*Wf{g+T~3;#SsbIV
z<+5%)#C#Q)iLl9D|Geo`ii`CJ#+4MHbK2#~%us!#A)}7%4TdaR<5I5s8|6_5Kp7(B
zZEofHjikYjB!P{if|H|NI6Mq5xmJ5Eksv-Oz~LnulU;afS>GxP<Uol0a}sLQ3aRSi
zLMU0!i>8EXq$7Z+2o!KNL@#Wpy**$%SG*I^S`zRH?afKJeuviD@h{-y1wQlgE3W{V
z?i87BK@y;#G@xRDQTTWlJp<pIt%+3Qt&?@q1fp2xeNr?F`XRyRGP3<tx<`-?5x`#p
z*G^y$rk$VtTra<A-Iw?`rQP?EXsY*c^~Di{;u8M{Yi}J@W#6p}V^T_&q%<Oeq%?>N
zP*h4fB?P3q5tI%=KuQ{<L`u3tN)V9l66u!iZ!UPAect`YH_qAP9L64Fzr$y(d)@c_
zt2wWE&FdoToIh2Zj=wvj;-f)<s{OP9wda@4*OkvN`5M#%#D$fM5^=v$1SO09Il_gj
z?fs)=BJ@<})j+QHnQ}^pSy`ygkj^H4E>(f(9py@ukcHpYIl+gTY$NQ8ZK8wUzlHA;
zo9tkT@2e;YM@Haxdq%bex4hgMLpY<<+zdyCHYlRl)~xdz&DFpVhN==1hG8Lg&ghP@
zqGnd0;_Kr_8X^{sFK>LebtYoVH?`6aH2K99dUwQq>iLd4QGj`LI9tFpzZN<Qmp78N
z3f${}xNm`zRO)P8A{MUilm7-@SywYnpTpq#h{M;~v~~F7*j;2fjd4Eb%|`RQ1cS8Q
zW~P1X0_O;e$<|eC7blw&y_)au=ilBCh>oz!$3wBiK=MqX_X6!5)3M`Un}?>aN_cW|
zS?JAt?-K5Y+`^qwqjj~eU1a&rJo{zg!+!J!M`f(nzG`+0G4-6IRxg8%^4!UrY;A*9
z#X6~0*HPlnHAaxvQ*Fv(wGR=AIKX5ZQoqMA{kbq~-Mm=OHJ@Ksw`b*0#Km{dqQnT5
zv^JX?*M)J+B%*cH>T6d0%hM+sF2<RIv7s#Cnf&rl+W1F62Chh-%bI6U5QA~IP~*-p
zo5BA3R3grw{eepoe2z)(3%_57w0{mbyjQ>EH=)yU<Auc_iBq<M6~p2oRfdqhY>64s
ziSzVLpRbekcTPqGX0-Ot3LWM*pZ6V{)lG(1z7C_@{wy1Onb7o7`PDxo0W^D>1W_i0
zM5?dqubh1INGVH6a{Ssxo%@dE0h-GG+uxVd&@R&ugr<%WNQG>-cE@cUoUoe*(VK<y
zJc-@jIrfy~-%5ya@Oj3t9@FJ29Jl|%iI&?J?@FDrrS18o@RT*~bH*`cvgZ6|66@Qt
z7fVPupt9d9cVtZ-)${d8`}#4hJcYVW=qYv(zJJw*K%7-dq1mA+>9&-;HC1fc-1ibY
z8)tnXAN(`TFPpYE$-7akT9uq^v(-xLP(7HZP++eCT(#aIzOK~IWN+|o-Z)EZd8E6R
zA&ZV+)*sxCl(naRW(?uw3!OPusdFKAZ>;w=i_LSjStDX|A~78H0=WxXMzJf%`l}*;
zJoP7|mgAR+p^=;AI8uwP`6eDF-jmU|Wb;$LZiVA_7$Qu>|B-CPmHkUtoXE*!gwyaS
zRS-={+@;7m7@xkm2sgpv0m+To+5T<4$t=Z5PG$Ep#poB}H;yJxTnqcji4z>Pbu%z$
z>3v!F_59|fZQC1K(|?jh(J?$#@Zam3*!rxq7x;Nywf*lI@0YlbWsG#mT~E2G8*gTO
z7_p#05qx*~d})w+ectb*Vso9B{w$Vm+LM`<w{`2+!Dhe9<kysW{`n=rygxp}N~ckh
zXUT-aBH70iWf?t<0mBho(NuSou<(5KhdV?zBWVnjtx}ZY{^%6YVCYp{>7yVxXAAwh
zT@++OhCe}9`$wrbRC8321@EBh+4~UFiRIIW=2)tdh^E7L<1K?VeakVH(%Wwp4Rgjl
zR;_<0L}s2c^eb!%&o-v{6Ta3JpQT2bQeJ38wiu(3UJb^-xy1jF<;xtFlC6qZS4qeL
zV_HoXt+V5|9BqqJ+tU3x1%KyK8iRL;{*U2kvkr8OMCILfReqT{j}P-zHotMLsEe=s
zWX^U#$@G<lUKH4F9(B_(zea>)&__Ub#$)^kx$8DPr0>(Uu8_9~jamJS*5Vwad>9;G
zX%**($M-|<^^ilr(8>p|l@HA#Oux0PQkVCy^=#zLvM08Zo`|Oeh(C4oK=ESOmer0J
zS^N?cv8568QLWV~2Tli+suVNbsK<6Ir5QY0l`a!b6)JR#V-?zyebd%iwMPb!<tPfG
zYuAs5#df*}_%}A<cGLMw$*j<t#B2qSk5Bpg89e2dc`Q~P&W_TDORyokp3frW_OUCN
zw6*gwZ*0@!ax2_1&hF36X}a)ZnK?s#>F&}la@mzG^y_goRS1?auAau?ph|7(7fQAH
z*wJ76ZB^I5j_GEa4ouQ5<<bnh419Z0B_7>?YlYB6{GCtxBuztnW#p3R%ZHb+cl_fE
zyd8#WG4D!um3|BPJ6xjMy)<Vla-9XaKH2;fS|q;cE%Rg2(4=Y1zOl@#`jY;49P#(&
z--XeiZ-PsS*j)%1%^Aa*Q;P*f^F`r$Xf8WEN8d7ghRc;sH}9rs=4A2ZQo)FbZukX0
zCJ3anpO}-j6iX%QZ|0h7eBZ=0a_JooC5zADJBmI<#cE8cmE)}k+5X5MM`N;n{dn06
zYYh>A_-)@&allW7l36NS_sFe&qIOwn%<4*e-w`h{d=jO0Y48oAcxDt=ZeHnxMxpyn
zD=NwoBUkbsb#wF&edc@ja+VRUf$S0p$V~M)`W@+0F1su|Nfl71{mmkP@oaUKdqT<0
zp!96FX4_e)rJOJBhC-V`A+FpnD$h5!$>$LI1uFR>CNe{bAS+=P|M)(RJ%iqj#Ag<u
z+wdT^!!BOD&L-~H&Fhbx%GD|Qo;-<(<ln92BqP@@-!mp3PBCehB%6Xx-%@4!=;a+}
z>yc@chuGHy`!L58vt2whED?>G1xgfj!iJ&d-GT00R!%(fmaZ?dR%NIMtc;0#7#QIR
zWo5>reu*>4t#nQ3TlaSzyP<2Ie&lbCuiQq#Y1|;3dPLrGhadn{WGbW^O9AdOE|yA@
zXN?+kqz~eCKoy}6i!PJe`{G@2P;OeiyVrh+fq|7hu(0DVo9&o7`dI!3DdQrlbG4RH
zYm$5x9Ugf?v7(w<n^l~|3q_0SDXi>%=%W4rZ!!W^liu?w=r&~ZzUCt3D#{YdQEDfd
zDQoM(obrbZ@WTfjZ!x(+|Eq#6@ArQFl8yQ4+37%q=8|c)h5DwA&yjlXW64TxlY!FR
z@3Ac<t3%(E!!zj;XVoVcZTS=CH7VyBRG$P<9wpU_dZX-ICcbA?>oKqUIoEKAB-XXK
zhw)GQ%E~aAg7G{9*O!Mr$dP}O^x=+63E5ELcwL3`Rg@*#A|{{1WKFcJu^QWvdwsL|
zyA$KahoyRrL}TfurIg~xy#W@HGEAeB+cRaMYux5hHe;5`p$AGOU-A!|%z~=zS_;R`
zKZUY%309-FWuY!p%3<urSiYr{Ww%$tDl0AidZ&*{WCDgM<@|+km}~}Iuo{<kHu6C#
z4z8RcMNi?qCR20P;Wc!=*-j=~1fmiDXn6JI`E@-GFTv>3YRE(wncx*GDfF{((w3C?
zb(B3MG%qD~vVJk1`p*ZQQQ(7|S=3`M`uFg<c0Yb|7ZBPs*ZDfMR<G1>e*h^Tg@SUG
z1n#nHh(tYdUHbOX6l=s50+A8qT8nAh?5VV=QTgH1tAB1%`97B5zFb1Yn#vsn0$pCd
zvIey?m~<hxKc|>*R5d-J*Y7|?o4W8QwG}_jN0u`Nb@TiOP<Bu-95;kG^-M5^mDMVA
zPt5|nW}LlxCUwhv6%Yu?o2G@4Cq_wP0*X8PM?!D7{>B!sDXj;2McA-4Ieoi%ehm+2
zc;@|~o0uZAq?%kOIw|i9o(a8LTHJihTvAw_#;tLnL-BfiEm%5pB16K;U4GCK6#kHZ
zcBt?@`Q-Oh4&LUf%&}cOMka;M_SHSymA7fu%2n15hDJ<r&p(-zo8*B?rE6o8ojIY&
zCYHdJGFUmjRVBeP5{FnNprpSTdRg}*V&{z*?dL0JPGdY1o=ZYw;mK3_<X;@lFM?*o
zG*z!Wlpz22vxTFKm5jIx&il8M$n6N_c3m>MP#=K|OR855YjR>cZJ;U3F{=r&*rV^|
z1-Nw6ewn&0c3Mq0Z_b|*btn<a#;E5kux|*QU-l~h*jr!H@>kQo^ZB<P4ApS7m4?Mz
ziQ7kJ8QPd{z9wFb^Y?q)b)?@*^E)B<x3H;{d@xy(l|xp&j_?!6yWy`+Tei+~-duHm
zI%?4{b-7%*<2aMNjWvVGqIBIa!g>)mC1_wQ`@MJU@z|u^ley*>TQF@zFHUU~oS|P{
zl!A@;A}7~p)w2WGH;#J;%NE&-ip&1qE<K7>_Cqj^hKc=2QL<o|IgP2)s#5G<;@0i1
z#k0ynDlwv<T&8Fv-MG=tl-wIJ=Hg&KD&?&tuef>1rnJ^+O^5q+W5oFD`DStJb#D3t
zAscUWe~#_}I^#PIHtOf!M%f{P3G{0>Y)Ov<7k5;-S%_GDwBre{xjpyY>1GK(EIJ!}
zQaRcTBKjP{u`$Q)QyyC?iIDU0@_6aNuswClzU}?!dc*ko7K6DwEx&rFy`t8Zjlzzs
z&DgP{lzr-D3mW8o-;+ubyBo1daIe11>imas^es^-1r>e|<eSyrDY2sBo=pg(&dR>N
z@jh)VEIp#cBFcJ91i!2n;grvZD+ed~54q~|pB3Gxr*Pc(An{BsHnw0T+;wf|s<|}z
zo+I68<|`4Bg%WQugoX{DP|CD~ceq&Ndo)8>8tJ<HXSG%{-<!rf?yr@T7&C13S6)0m
z8W&6|{2<;%s*x(?@d!cnZ2Fw|qoP~%ZDmovH6+{k%#FDoaDS3o{b)h^-Y<oY&b~D8
zV%~UMzx;fm{>qAH<;ohBd9AX#VPTMbNyV?6VqgEP;yB&3%!%{4iLyrc!C?wiXk_B~
zBS0i3JltlsjWGNN9iD#;6!V#h%B^SH26EK95`+M~X!!nJz;@w2D2sS`d5xexxLwM!
zl6p+a(jr{e{yv0`K9}g?qJ0{oL>nOAp;e&kExEZ~bCf%7uFOPGP*8B~+BMJ(0yQM0
z8~|uunc$Bl<)0b-kbf1m8F8ne@Cv`VY;-9nR6OC&Nc8eI4{UVw*ON7FP-IstHipAR
z&5k`WDykF;u9f4$jvG@y!Wr9Vty8<pTo3+ULB(Rxs&WKq1%x)ZG0lxs(re~06M673
z&U0N94>hz_r4DGl3M9JsNzlm}Df7i`tYEhRa!Fs6Ok#P=;D0bgwfjRMw=<59lbX8T
zh)c=Hab3>R(`Hm{>s4{W4dIJD5oHgp_40(9edS4OC@q4^=-2JwqiPc_5NCT?heFf#
z^XFGp%SUuMP2X@yqLF%%Ks;1>SLFfY?9**TmjaTB7=<IH7BUFX4^hi0xn6%$u2(In
zErIlR^?61K(QS%{>-7mYkPt*x)lyPZ@BR!332|ryq|TXi<);ysR_&YdSC<95MooF5
z3NK^rF%mlT$%fPS>$<GtU__owy%6leWLvQpw4J&Z#7=|pNiQFZPxwRqcD$0W*U9U`
z;W%}dhxew#7w_@@tZq2)3O-SF31V-KZWp@anu=lQ>fv*{71QyeBDOR^^#rt0Km^9T
z6eMg&uL@LJPB-*ry;zUWmCt&{@Z!mnC##c>-Rgvzz1>-Uw>ioXb4e?GGUdkz8=qoq
z$iS_lF$%6ftkW$}VTr8hq<Q=?GIGEUqu!I<hjv^Y8YzC=#;t02nc3ZeZP_%dqot%I
zQMPsI=93Q(l8N6KNzvuzy=c|vpy7bt6*O~?XbFACrkR94IYP7PPnflVB8U9@m2~xh
z!ZCR%_v>t!YyoC<hYRTni=beY``PK9G$@T^s<7CXKTaa0F8vsw|Fl@&Av-?I%&YCM
z@kfndo|Lt3!=?@N`Z3RZN{WjOi`D!eGv_=<4H89)vE*|$=~}%~=BsyWIKA<u@X<It
zg;=lZicH@9*bY2@1dGIAVeu?)^3yc=P^MOk=!3T%26{o|g2|X7Qw8D4)0wrk-{(4F
zqY@L>1z&-bQ#`-jUn6?vhyXu`8uh-4@qxOG7n>4wbMH$-Xq8f_a@?%$1z_`!b-7y3
zF4O$snku&)<~;Fu@(XuUZQ=&pme5c}8hQV+8e?;*k1O@R)NEY`aTa%+r^7+2M2?|f
z>-Fn9EmrmRHwLaj1Xi>cDV4@rd%d0(^tp_SD_nIk1=ISCy$gAQZIMra;SEh}eRedL
zx?bM@7!`#t_xQ1&td5x3!at!^a&ofQWlGYpLv`vu^Yfs?$R~qagDTYX`3XJ^yfs+T
zAa>bVXg*nUuL{&LGap)d4%|~HDkRioFASGpE@CIlFfmo!4*KZZ`ow}!K#nAL>|(?m
zRZs3sDd%da9z}pG26Kc|YPaL=%5YH;*SxA>XB>6P!h(@x-e1aVSBgK{+?z!-I!=7)
zXZBi7VE(vvKIACExPNk<H|kn}BAuTR2sL$ne+nf@s59WnfvB1Z5jo0AQ0}KiLt0Iq
z@SBfJF1~cN<Tl%sztLEk6`ube&|<x-oJ+tDjA6F3DNk%`8=DBJSy<C1<Qnd?s>5R%
zHNAPRiI~T~$ZICA)qLmM?YURsU7vVysmqEdW@6gjpwa|-OK5rC(lbs8?jVNgedouI
zA0SL>d9|gf2{hkKK)n@MA+Ys@1OzZMF~M8sh%tpNMn}h;gt#Mh>d@a!z1d*m_6e1w
z30q;|O|@M+^gVNYa}`I5w2O1RR={;X|5xiCQeafr%~=zKz;55hbWE5BvX!@g@SW?P
z$qiqH-45yK=uF2ecA~W3{Ah3QHR1vd)n_s?4#TwZlJz?`1(Nh$<SFwv$NC#~P25Ir
zxryO%_aX|K65!+G({|e-#C=b~o&o|ZcJWwc^tUnh{rvo(PUBqk7!=Fm_-tHpH9{6v
zR@NV6-%5_hb(tm_y!SEX^55EX3<0HzhLO<_)V&aWRZcbp8*gd$6W?0!4iSrgF2+?H
z)Q+F%6u!ItRN~_8O>r|#d7_TKkU}6dc0zB_*GOMHDoPdRHCLQ+BkKo$E4+V_sGKMJ
zD7QZ(d0-PM%{_eH>1S)NZE!w^ep!NC4pRRPHucTTO^%pnIZ7Gn>B1-5z3{#TyOb;U
zp{xSBN4#sG)5UrPWSSbRG!zv2stbP_Y%ziyX)A3=V^b3}kiC~ciW&M+Ixn1^uAgC1
z@Y6Mt3pszBDFanL40q`m4sRQzuq0`X*@n=zJ`u}ja&P~vzUprp4RT&XE$HVb9~Xj*
z$JB8y#!yP?jXNk(6(_*!Ul}fhvI>$K2S?&s>hnpsBM`X}azCxwO1I-52Z65;a=vf+
zKk#&L%+WNE?_`ksqnq-ak`W`lf3~~A#j6$k=Df260$m)<ewm>610ujCBSl&L#?_9S
zzd`VJ4;1v!3SIR<qf=~W0zTJ5<u1t1E|;YM+J~<U4cCE}2J&)ZLszf`Eq9jsJyEei
z>MO=Cl0}un;3r9o6zn$Z9A0W-m#7fUhz~B;1fwXYmo?5uiu4mEF{>abeg?6ZYn*~u
zYcSb^PNy}H&3m&p#+RkAl$xVm?YslBt><E+AYB}YaCg)=1U*3^tKVK5YOGNYEGEXR
zQiYkBzc_8p3AbS&hj?S^x_3ctvhA4c^RW}^F-S+we@&~zaZ@+^2Lb`|dpWYzm@shj
zl{xc&{-CijJd2i1b|#*h-o5Q{S=i5#PA#DoyY^WrOGI<yWAQ}pE%76#34>~z{iAoO
zG0p0OPTAr_l()KTUbvn;Y-@gAU4tyFpm-cM8x)!ifAjXk!@~oC*0r;%AXDc}JUl#1
zD-pEeet8NN2H|OtLQythtX()oUwQPXkixbOO_R%jk#DJr`TA%?qFtTk)~61m58jeq
zrOP;Htx2s|wc2%@b8#ZI)-iY1ch_H-Pcrj4%#B3m;rXVOe&X=-;|=xW6?BB2a}<>N
z#qGsj=jsGMN|zOO|Ib)UU!~*u#SsVsn9VR#Km!>BmSIP&KI=tEgdwp_p&L`a$MjT2
zKx*hUE#c^$XFt<?e&t){CXVz*L>yZmt_b9P!dT-^|2Q8JH9uanb&{}v>Qd~Y^Hw2k
zAVJW1G4ZTL!_Mf3Y02{Fsm)gGy{i5;|0Zg7D>>|4DRN<HTzuv1z4NqCw(HN_90uD+
ziJ3YhIuk(v6e^8iPVvOT3wzZbc`wl4f3Z7N5<)V`Ad>DB@j(6`FqkuSsEljWgnQEX
z-4i@1RHFekX5Xs^i>~)q?)HU<bhvevJ3A;@u59>6r7!1c^BwJ82AD)~B%Z;d07vhq
z0p~=Go!*fT?TcOu)5)pV9LQIMvJ)e{r%t94A*HCyCwTBD+!u?&`A?{%m*Ldb)|SJ{
z&?ZQkGSbuEq~PB^+*!7ZAaTURaJ1}@Pw9ALLTOQ~gsWHfW_Es1tLT=u`PP^jWtVym
zv9g<`Q%9TH{KcbcXZF{Q-^VBIIr=zmo@YAn2wSM=T>APrN4>Q36Zcai@h*}hkTs`t
z-FPU;c?nGx;_>2avf830JH;_&;^?)Bti{7xCVr={2JPoDYu^LV>c-VVDtZ@dMCj4k
z2R7NQ_rVdVn3pV<Dv>JjUJXctAOy&!QTD6W-JPbwWp53(6_XgUzIy~4Q<rBBDp7ZF
zLyz|Qg(k1JAMCZ%sDW?-%vtwhi%Bgb!CJ#E%Gm7F<S}AOO4h0}SWMM6JI-$Q_9aIq
zCcWt$5UYD{&O_5Rc`s=8ZM-WmHXnI-^7b;N22-s~yS&=(<(!3F4UVy@x#b+>by4=;
zB4}<2*t6h{gRUybf)=Yr=#}k*Y}f8Y`Pt!MEpsKOHniW;7Hv3~yR4JgcVe5J)~iEK
zi8=61{>(IUMb~VU_<Zy0!_TYw8z7c^I|bxAt!A3v?_Ec}2at^ZVlO1*yp6N8DkFUG
z2R5P3Li@F`gAtRwat&iRwIR0WAbr2rIZ|eos+3Ki0(&nn1OH)~h~1Jx@tuc4Z*~6E
zU3-$5=-gQpd2lQ&g1l`HcaX52(}p{Q1JR5pmdgEjGeqRn5omTGeOf$h3a1$yw<4hC
z2!iHnz{T8gh8jC(mmnM#>kGCOApR({)As_z&hOp3cLEaLpyWLW0)s<CL!i{Gtg-}x
zvR!K&Q`!G=0R*>x!cLBQgX9-X4iMw~q5rL_stS@D^ZCwr1YLxbVaKOgzmSlSTKKol
zM3J+8W$h+VkzAk9EIR~U^np}KY>RcW4J;UDvBw(kc<CCowAPkyKIzw~nSi<-Jkz8g
z+!2QNZ;;&XUbF>)R`?^l>~(44%MQrMf`aHa$P@#V2+PpsnT(Va?2Ln$Y*m))G!36_
zUjL3%ZZ{iM(lJ+28G`fwj;+*szEO7y)bl}*u5|LvD0=~jnlehqSu#G^5aCKjB}Q<l
zZhKZA=TqCslZlvuWCY*^773uy4KYy_D6Yck6%-Hv!iC1g{6N|O6>CtZB;&Wu6u2wL
z95MOkXchK^3fsjL`7GE$LHV1ARl^Z>3y`&p3VasNzXNi+$f*P;LoByRx-1hN-V@+R
zL*4}{-|qv7*|4aDs~TuPpjX&(sxF#c?-P&N(!wF-5+{}>)}b^A=i|!=vLnTYr9U&=
zc#ubRGMcEWcw)#w!@5#KV7Gi^zB(fB`P_@gY(lT;kkpXmBMA2W(1*^K4NL#4H}#FP
zi;6zZ@V=LLfrJ*b`yqXlLO{H`piON2-INE^UnSm?TE%rq92(s(QUfJ2@)mAT%g(hy
zzYYp|5Rn=^!YtOgPtw*7IbmvdtNynNX~wB@%<+4JM$uRmB%NheGfH1ox<P9AjPd%E
zd)XE2TyGw;NWqf>=106)41%vZ8wOsSQT7x$-Q?*uZsX*Zx<Iy)sKqW}M;LP$>5s<b
zfq-U|4PVwre5(xYM4M^tb;PbqUvI<%iUi7&mloMtEpa~IkfQ^Wq%G+^s{;LW!E`7^
zrPgQ_kI1s9H|0!Bzww<rB_9cv^E4S~UaOS#uO`nl1>lUQZ5{dU7}yI~#W5F%Kg%m>
z#GN@FI1)O)lxQ7*6`2x`HD*e>s>cl7B%;#V)0U(X=}RIbKa67Aj69#EpYJ@jUyo-$
z*}1Dc;1;>lr?Q$wRULL-rvhjmzCZcfX+lX+#PX77scKjCS)`(}lA`P?KcXlyB2I0?
zb?La2RzOH4cIPTr!n`-Jy`bvUO)<v!daD})_gYXnjB0w9BJ*JZlkpd9(YSI{U-K<j
z=1u%nAYu~2-b`Xs&ggBSVB3E4CMt#_m2ObXv-B`L2eQaP!)udndR2DggX%i=N9FW+
z#hTy5z8Wu#`@oP^NK-prZDCiD0cF6zCiy|ttLVvk?i(1*B*C^8?4+Q2P>@@QMhO9P
z?h7<ZR_v{B-#8lLv5g+f)*a!rSOGT;vc_Ee&3EmR*awD>csy(VR9b{FbZvCaEs>>m
zGbu=dE+z}npdJ4unY=+8a$-_aHRSY)?MNS7_J7O}4q~>*X`;$Pl-f-~MC2o|QLL<_
z#BhUl-rDufhQgC4{vcqLZ&<9XrDe_&>(9i+rJ(l2y>3bvX4qC$yVW!Adfm-zbW+$U
zYUuI&-@W9rm@w$q<kzmWyHDfbo<XGlCh@q>W=%wn>KP(svLX#9u<7B(k1QMV7AtaJ
zAyt>)bpQIzc%^wS0dYM4tJkWC|H<+%Gup0y`R&E}aSbS0K3C$09`1Ziqc3)?83$&w
z-?M8D_g)#PUI2F+5CSDT<E1g)`%rClsW0H7Mu;*M0(kXKBej(Hv$)v$Wb_VRE3?>u
z9~(@x=QFB~D%k_Iv{7)I@c}LVbu8t^#sLF$>Vi%A=l8ddFMyLNaX3Tobx4E|`+6ym
zF<1~p+_&@+S67HNYua`D%oBK#8eXM`U6RO2U!k(LE2qlPQ34T%2;-QyE1>b}PiYZQ
zRdFn2chBAYeg3N`^%&O#%kGxQoE>Sa+_o0tVPRCv5~!)*qS?7b6ZWN#d(`VO&GVC5
zac(X0^Do@?)6tOH5Op2Vo8EIMt2o^{{(6PSQ!APYGX!mUK;ZSUw!)dqw&rk|zpDDe
zV%zNd6nX78w1R1=4>&I}6f`1u2u^sgRfCh%Rhztz^Rpw{&aYLXS@=uJ$`D^pPfDEh
z=hvDH-R*6>;~syOmI_|ovJ9_JZ46kVD!h0RM$zyppIhn{a8S!Rc5JzNm&?UhYM)w{
z$7UNpaM3#cex*9*;&w&vH*juDxh;L>X=Ct*s@5a1lnS9g%dQs>{|*VVUkWziUcBXS
zIX2{=P$6g2j{oAnJ%l>IKH}%2lTTP=>UPimTp9nAA@f&8_~O65#p<f_%%eNAD^W<R
zsn~pKP&z5_pyn*8q^stqf77YVjf<Cs17n&vT^8w{Ksve?N;dj{fU=8&m=G^iA;;e}
zNxe5&uVH;%cJSZ=`@4z<Bd4DHJhn9c00VcE2y<qYgy|xKOEQ44A<+-HiC%p6wnsAl
z1zw5bf#UJc6hpa<0(ktz9ipKyO<jBx<uW|x#XtVXM=y&)_`nx@1Yt&YJjvIK5-ti#
zA3YF(Q|{fXQU~#uliD4SzJ->Ajs&4fNSpw7nc?;Sd^p_<Q4&af4t-VS^cKS<B<u&t
z?<g(jMF=L}JT9aD&U=xLpxDhUr7cgc9j}-760;a!;`$>}B7bxo362!nganhf95DJq
z#32Oc7;7z@%@7#uO#4z{xHA(3{QmtL)Uy-c9A?3>3n;+W^G~7#N!MIK?^sD`0D?d`
z2i0I>h-wGZm@$Ydz`Y<-fjKHrqulxxxO9LG2XxSbC@clPEeWT=Gchr-RnLppAqXxE
z1H}T^D||mmY!afkmLuY{^Ym9mcDKKxCojp0=%*-U1A+uca}PWfJil?^0rJ@(NxXrL
z?LPDVL31z#*pHZ$j)LGiHgIzxgFK*~_F>t;*dH4k12}_Mc$OmuV8%JHTKV$_LLX#a
z52;;Ve(UsiU--CY<#?_vldhf~CI$xd`y|H1@PUwiFonPX1IhVFC0#!)wB8CmJ5?DT
z!!%@b%QtEY%oDjA-tHRz<MR^`vj0R^mAm`oFC70hAVm)VBREZ%Leg_zj)jPkfk8U@
zetoIG*lpn}7KOtI8ac>0<~w5d63>neAp(L-JDS@hQX&-$AWr8+&R!RvPM3#5NCx2%
z_=AAe4RjyvLUgEEXz;xD%?S%pJAgd^b(@f1Ol;XJjKOhVQk;p$Dk3Xavn`IpLyjik
zv6_d1ZgG<LyA(s_&I#@}aG$NSe-{=Oay2WFaot45EKDOI-A2FteaDz*L=+T4`mG;8
zx7$hJ#Dm!Jnk&EyUlg-J3*8%nO!S*`5mK)pk^xfy1Ohbh!K1)Bc(Ukqc)zh31ndyT
zLgtMlVl(#>>}gWFRi-h*CF?I{I`>9L`q{j+%D`!AlQ_U5&2CEB+_bcweh`~F%>9gk
zQQC&~E3owdyA=Td!>c!m0%!dh6G#A%hENa;3yh78p@s;y9!L=;r!51?=njKeUaQ~G
zq6R6H4o@ruZ6tbtm0Y=gBO3JO&nC2Pqg7oN=HlXFW?q_DgsF#yiAkF>Hm1>ns2qRu
zrxllml*{OY4I>VozkZ#^CB(;=7}dg;=Qr#@TIO``!I^ZjKqvs?^Hhay@gYYbq2Au!
z&KE3TzoG(>vIsyk;CBK#>|h_Vvpi@4L8V}qKnwKCZNZSrX7>XKrKqDb?T^pMs#TTQ
zyU1fc7X9hd5?U<um?6d1ADCC^wP58a9l_WV5)qjX<v&c5ho>_d%+-A3p1PwvMYz$A
z0h&!!HUELO>xhMiKtoQBlDg-A-K^V8@KJsFpv4g@z6_*4v3|V45T+`Djz7qZ8*#)y
z0)7I4w>5dGasL-EK@xZeV*L>FS<^s5F&-`>e1|B|dl7VjgoHH9#HA1bav)7AnshfK
z@2Mlj^;KK}WwfZ?A;LvJdw1IrV;@|!zz@KheBSk*WEmOT1+L%N($XT(;z;`Mw3K*M
z9`erZdEOvCZr7G|xhp`K;Byk%J_`sJ(x|AgOZX`Qf@dOKKO>08?JI>KHU|e2#jiGy
z04QY_18@SlLgsxFuv|jet_-oa@KbL%Cp%<;G<jJC+ymA8=7cRj1=4B81yv68t#AXI
zfHA-MdV^_b81N|NuPRpSwh8kc28H<}w;6)a&c%<OYR=<r0HJ@Q!HDb7>`&KigVNDO
zcVC`9pH#lMe&eRouR=QRzf1j;(dKVAlL*I5=yJp`Z=>Gep5jf8ii(Qun5%fsfHq`W
z(uQT@SuZL*pCy_+P)2!Jv0Gm=XS8w*i<l40T$~1Aselwb)uL?$q+%kwLwbmh@$t_Q
zkd1tGjt3ck2AUit0WiUFnU|u&i|w$7m%w8-;y6Qbwdy6)6c}j;tXF}}6B$1K)?n>v
zzf+{FJk$^-)1NWeoGR@w4XHkP@&oA+wQdVbvvicKwUkGCcfvcHTB}bq_~98yu{XTJ
z%@l%g6!WN89iBLK-)rPMHXWO_Q#7VX%;j7Ui|&dT)Os^PwB2Gbw3!x%DZ~8J81Oi$
zH0XSQiHM*6F(Lw2&e74ae;JH{7*b$NknMoqNT#0{Cfzm?>)JYo+zBAKTa=VFpf;VX
z?Ti}pOhTIY;awao$K+BcnSZu=<0QFf`tsJ84m5<+0lS*ayIqRDfX>{l`XH6I*Gb60
zpSxqiMM}ebCo7%UE%_ZxV4`ddD6LiRvtCv^slFltn=(xN`8zP~>wQ__TLj6@BDM>%
zkR--h)GUrUYTb4vy(mO@>O<wvwS=6zR<gbmynEm|T-LX1PgX53yi-O@q~8Y5A3(4S
z>gO7l-j3WSeczBqQ>?bSFn`7P*?*6O8KCI!LtiTGTW&A9BShgwT;PE*{Ul}ttY!cs
zpW)S^Bh5?$gPyow)eYUIoZyM_D*g&3MCXECmB$pUAN}6$XTNR?_l&CEeNt?OdOdh4
z@5aq6{^mqDQDO19fnh;hTpUJWky?%=TQ&G`G!P`yTI$5*F{5clLyGJqGX7G*9djR!
zzN#w0`8%_-?hCc`=B2f8&_Gr#wzIaM#B0*?866kesX!kLEKKHA#jpbqf0&MhFzlg@
zLNS=ajN^}pDE@&>+OQX_!h&_^u!Ks}ZSh_=U!?lo41mh{j3zRUKch*T9X?T^DSOf5
zp<_6*H8A$7TSmKFlU|rmY(m#$8o#o+%yp-{DN_V{{F_0Gg*#`8%LJmuJnO`FcgsSn
zpG@S<F<>HtIqG{zi<3zPT>fh>m<XVVL6jau&i5DK)=v0qZ6y(Ow0w0JFzM~Fa+?q;
zks60}Ey=-c*_gvouQ%ZRC2+O?l7`kli$_;sve_xDgIf%%a#(aU(-;fC%dV;Se-%|)
zJjtP`a=vBvsf<hsho9~u{Nx`h6gU(6BTjs`U7QCRogK||;Q$1~5~xsuj|&SkGakd*
zP{B;cgGss+u!-TJp%IH7f;kMQ5KcE3MGfX@uN#@aEKmW2>l@tLbQhSn!O4Rs2mUSq
z2~8g(Y+zqUT3cC62)b97qsYPlF{4!vz<4QY0=pLyHVN9HYM0U(tg!s+)A%!G!hc@h
z=Rylw%++A#{iJHS{egA<vfiZuk@F;_&k%ce@!Q7t@<%N~11wotQWVVL?Z0CiPhZQf
zyR$f1^?4=J6eI=|!yL#wi{Z7R!5v<;Z}|vO7B8x=w>Ow$Jxc911pr7`xCWpTD=RC2
zfA5pr0BD@3&CwUY{`8EDsECO7R3b>=+GH>nsyg7mw=z^9Mz!;f{wXB++r4n}&_Cku
z=eGdE0>=VWdmtn@>3boA^jbO{#=b<o@o5{a{|H;;Sk`QZl>}lv2u|3vs>-0Ye&<Cx
zTKo_9!^I3J^h%{!|7i{7#`3w{te*40!MtK~N5V$#tzHU?;J3y60)JX6;&wv2Xfou;
zUA-B>Z#$JKc|F+qGnUPi(}We<cs={<gw_ItELLk{<)stOCQ!Cl&eJ0N)FBhY@d^rd
z!Sj+=q3{IQ95{R-A$ufb1{F!D@qp_HHaYKoA)#?x2BJXa95rs82Cs;_$_B4qLHS3T
zIf8+X?gkvtzmgt8>0zrr7E2*+D`(DQ15RN$lS~kF;XgEX(a*plQ2G<s52rRTFoIJM
zjtD{walm{YK72cD3VQ;C!a2Y0CS=qrLMY|}dj9Fs@k_%3H@F15Op4Wt)hM_$w_^h_
zWNL*oR(kSS=f8Ynv~#q3^4PSBjVEVt`8fkVuD7r6OlbMY-Fx?Dd0~}ZHwL2$@Zv#=
zaas=h;y5<`i|q7&_X)iunca^OKlI;Wo#Z;Zr4bI28)Ea%N#9?OzdVp2oiXDy@k%=)
zicOmm1_+$kz(--_tP$my&ExLXz^32UUrm!wtp?!q0qz6D>ZgC(*&vz&YAA&1i;Ih_
zE}yrUNZy51R~^qQCk|?6*%C;d6t`#0bu3k^aArxZb~T<axTLq3RhMg^fd!(OZQCqZ
zB4BZ{PebzVXT(l6Fp#b_kCE|dyY}o3N1cS@oqq-8nh~Qtim)yxsrlO2iu9k=>PnU-
z!bE}#mc#~<Vq1Hc-zf;B6q>7}$F=rnaJA<zmiH87RZ|Xd$u(3m>pX~a&M)YJ0h!Wq
zaA~v<T1`eJ;^Idpfz`Pop!yj#73W8)u4@#Mp$hcNYi|cJg*?^~C3`QgcKhwdj|H)G
zwQ~~^S&|du4XR8qRY+u=rzE0}e33tu?0>IeBt7!<)AL5ZGG-dZdup%4Mir}hCXA~i
z3RdTGJ7yiMDe(L6sXrh)(KoG?<i%RmKL4S*D@@cVr?;I(SV9qMb~~N^h#&6pigwq`
zS$~S09`_O}*Q{&67O~crR`^s)pxQFH!)Qag`TVQD?nA=3f91J#WeKPDbmQ-~%e>Nk
z28Szt%w(gZHx9#X5_>gkR8&Q$LsSiksvA~z)n+e1j+?Mwdj$MG!gik8c}2a6zSk*_
zXt8(PiBEsjtWfO}nCNCyrP$$TJCZ0fHdIhBr+WUzMXz`oPF>RQb4@Y{Aza1`F(69V
zPd=7rWl#4r8OwaJ7oFfH&Y{}h4)vIc1D@~kIU1uy3|1=qjP*Jf#Jm1SvnW%a9@D&E
zj3Da0+tGUsGuVJ5!GW<yO-aplcfK`PQ?TnIV<sgBly-w-ro#lr&s<|imFE0`aTH+u
z9Ai2Z)*f1xcRR$K|D))A7{IAlfBhsVuSz=OTm+LhZ$Z|~hFM$d$yiU}_RpAJ#fKTA
zMRXwgK-|{UPA<rgMxLLU?7`+Esf(*$J-_;6X0wy1T1Da}E4(Mm8HR_n)aU;d4Fgj0
zDz=h!+Kv|KOd5|FgxML7WN&)Tr2P5Y@euX3n!4ng(*N;Rz|el2ySpyu!rh-?l1)W!
z_R<QazDsoM7uSJW$|cvdA4#DF)jeyjXJ<tjZ&<pz@S!TT`8=g!+i!KxPbD{VdFA}m
zx9ebtH>k51Sgab$0K;73zo=THIXZ&1<Hbk*H?Tn_88|M^^CGL3x%M<TfH&T0jvh80
zShTf^_p@M!s%ll$m~KIz9qT0!_eEz5lAvv|vWtC&lRs=q-g51PeE}6osQIdNch_(g
z{pdwr9&a;UpNA!uZV(b)V+j9YTs&Y$bg9cqjO~Knd-2@}3S@(HT<43o9s1PS@B7*+
zIz7$D%0k1!XjV2>R#t!tRMCm{#`p3>DT&_0zuxkEEg>06?ip`xuRNpq?L>L4N_i@L
zkuX?>VK+k=?FiqcrxN0ie{j-ep75zUlI)f6#eM3fz0Xzi4L5fuoDb*jkF(Oz$lqNI
zH6P<l&2%5EXfs;s%PM15vq<*XqYj=Szz|naQPE`lt$x1kLPQtUzRVxxk#VuZLI<z^
zRbNB12xP93(QUNEAL;?57}&9q_$FixNPH9heIXa=&D`Gp1f}d(L006%+lK0AU^xcq
zgd7tA(4FfzkzEV32m(@4=I|d&{P7+cy^GKT4nedbeSyjf-0xd<=Pk?<OK#9@km<Yi
zdh}AsD$4ukGp9l!VvmmF`XIT5vdja3<l%fiaO$1H61;L=KSi0cFzswHJ#7<FSnuR<
z@47B5LsTo=6Lw*n3O+Qy-#?hxn76NY`xihuzDpYznVZePuw_{CGD7>?K?kyU1k4RM
z<Cr7*1p}b6mH>s#2d{e&tWlDZlF%7ycY1sPQB59B2~_EDX(b?0YuEn<NC1QoE2E`d
zhKmo-{_FYy9hz%OW2j_z@>*NUkLSSf^=E5qG_cIhPEWGY3RPHS1UDO#9(qDvZg8Ij
zta`xd4HzJWP@w@-MF2e6Mxloh5D;W`3+$}0um+NLi2A_&5KI@{&dlEd8S-MPiyY2k
z#Q(6m+oPYHhkd|HMw0@E$<G8K0S1OSsJZ9x{{^qw$$TA8wVYGPUokK-!S&Z_^S5}s
zbSV_(!0JqL2!a&|??<6}K_OsoR6K%&sq*tJ;cRD)FowD=WHf&_$uQIw=rPZKv@S$i
z(^e!hUU1!)RR&H$Ee(w-xK?XxD{}+ue`Li_p`z#opIm3>ikU8Oa;pKmWZeQs0Bj&|
zwR}ePz+B_u!+NC6D$=Wt4QuT?#lKJ06X}Gbp|Dga_+|@<@c>u=9*B0V4Vqy2SUGMk
z^Za>E#qmUmS!}=YYEN3A4a8C+Zv=7S{vrDq<XH7VclZY_JkAVdq}7)2K4QV9NrCVW
zqEK-0gX-hwk*SpxQ<^0}v-)-Ze>2HGx*4CF*96a>+k?vP_3|5*!CB!+dNBmpEkhuD
z_$OQjEScraELBx+K{%pp^E|n%EZPs5;Xz{3rVETV-<Zp|pMG7O!uyKWG<H(<cR3K!
zw1<aWQ4mh!berT=6U~2ypt4~Mya=J<Ukz@v4T+@hef*@Pq`qinNTt!Fs1_O&wArl;
zb^ER}J5FQ$b4%J*7DC@CW1j~p;_o#$2KaA05{4k1H3RHTaphhwT69f=>2QJ{m{!W~
zjCidr0MJ<#LxY36cHZIwHQ&)x?4GeF{f&ZS-s&5~+KiCv*{rW_0!;<Orm(Q^mR_RU
zZp_9!(4c_%W^ZpVAt6Dy44Frf3XAZY<9%okc8hm^<oOR`TQ^xI?minSEXk3zJdBTO
zT^Six^rkr4eE8ceAZdO^fI=(}=FK~4MVp@|2fvvH!^6VBWAO<B0w=I`^zJaQ`I?-c
zzX3L&i4QCiCT+0s{#{o~4VW|KTVzHC{Ke01hx++3F}!OQX?w*wU!x&P{kNjC%lrRH
zoNl*I1le*$%Ef^F@+dO;>2^O>IQqGL!dD*o)+PRAW2pXtv1Bln$Qz)~h=9%yAh@uG
zfyF6eIVC!;^9OJr!2N)uk`IABU|bODK1u6=a8U<V6@X??n@0W&=|9WZqk@4bw5	
z9hSeLqJ91Ys8s{9s$7`>G%lcrWGqDkGFrihi}rls0`*0?eEHuk;6Fg{{{de9Kl<q7
zCH}Xc_96WQkirSDUjWY|KYqlK1FK5d9Ij(ij#b#1{GWi;D96B5+lQDrf!9jR@m}~3
z;M!^-|0a+w&*=CJFiX<Kj{gr)Wt2J*pasKb0QuVtXikB#E>z%*3x|=r5Xj8K68)-L
zICpxqZZTStL(9v?W&z9<`%1Tssd^yQM7GaLq*?*d0TqiJ$+Uz>ANo&>i7w(Ll&J@o
z4sIO7#P_`k&cz?$=#oO<`P1?7Ifdw8CH%_;sDF3uJt;R$3cynWsDNO?(O>eq*8reQ
z>+(21;2D6u9oQcSNz8z+nC8sO^PL3RjnIKJOds=X0LXDjGHbB^fAWWC$b0GWet2BE
z;>X0vS!nPN28?n_Ab72+Nw?g7l@yn6PtRed`6g0T2!zK7e}hrv|6&mT^CPDOAG+$4
zlLnWex=;Z#4*(Ou@4=;1z+iT64lfiz;~yNHo38-Iue1yt96dlfB??SSN}8HzB+&yl
z@#-#VZLvq)R@H{Zui6(PFN4t8Al?ugN*oF=W`v%mMw0L6K;Ou!{rrHI?9+XHXH02P
zt+)6U4(!d$0+-MyGlMCxaJDa(d31pyT#Lx*^gbsGiz(0oU>V>CHU<0h#|Qf<F!xuB
zgh5H8QMX{+9AtL5(d>8O&_uEZCKkbzP@e;+eS?2iuaSC!y8y`&f8dmyl9JNkovR_&
zt#2Iq4x8G)d4_KMh~zq9)w}=3Bc7F!%)Axl>jW&=X*^0Ux=UkTS|CQ#*a*hn?LZ@j
zzOIh8HrT4eY=W9}scHNhckD299=3$Yg}nP`p&j4xSg&JbWOUyhHf&gig2+Af67bw~
zpQv&I?sx^9Y2J%s{bq&38o3WMhrB1|gl^iWD`i*OE!(eegQK7#5FOIwWhRuSbb^LW
zd4MpCcWq-Q$+^M26!Ts^NWYH^3?x|cD%&e!jUitu@a^N&`5tzlJva6|U74cdiG6Ow
zA9%7zsFY2}Xq#sl2Nm&Z_%dg+M#3*|J*wJINl03;3DiUWlU8hfEAGRGjlJ5lc=lab
z8hNk|R!b*|(!p03smKykfPq@_Lm!WH6pcOMx`0Xlmwuo?TCZ;d<rYd{+mBkn#kJo!
zLMp92n`{cVTFZhX#_w^OeDccI>Yg6?;2AE`=bDUo8=$80OF|CXUyn(zhCo3fUK(P=
zjljZPBpNq>by%3=P5^apFE8MaRY=oK-MZoP_pdb##?70A=C}|4i&)&CicTDbq(>`X
z1xDA_>EnIMuMNP#LLeXux8K(5{)b__XV2jP7U0w3Fk5c^*9c{uPW)Ccw@%9lRLM~~
z)MF$9xC_u%BQD@v^1ul5?ZYBO5KvI8E+|f<{<{R-ztlQR2{n<7*1C(}78`XpbTdJ*
zX>Xz1)6af=VpXupYutRY(t!<k2W(&2yZ_hsFrX-M!EFT=ClO^U9jH6Jf%xzNSf2y<
zg(N;Q&F@1*1o|F;&F5;A%P;ulR#hE)Vhgu+bbwU`IE{a`x__}sJtq4m8MY$|MpqeS
zV0ZmXhqN%rQcwd%(89b;gBLnrGuFW&fq?+$4gkgmM!QgAqaq|!l$CwS6Z?u|7^t|+
zwm#Ex_fbSol)t7`2{djI4Ey~iI}_GaM~ILo#|7%&mo;K4mQJS>x^o%(oS)jK_g1+M
ziWJA*#9Cm8tRO8dZDmzZ|5BET07?t6qd*Y|hd(7d2`WnH=;)wecLLl0-@kuh+yP4J
z?d{dveLR2ulZ_-4!jDHwe$B>BGB!8$CQ)xMh>qk3bJ&OVA0B-@ne3Ur`+5P**_uX?
z9p&9YdaGr4snIP92LDfDu~thZGzC4r7D&$1J9Q}FhENEUK=}*;Yy}})CLB!1a*YWH
zU~1fsoQo9xWgXu@k)4cgd%ZZiJ=1-5(&5KTlTszHeZZ_%8u^of_^B#OksW^gS%j84
zVh;=BH5=|CwwKy^fWKo4Vmy!KtkzZEA(TI620_<tNpqtK7&tf{;9j1Q_@)BNg>X;<
zd%jpLJ}m4n*y2Jjj3RT>a5W`*6*9v4QnyvK|NL;#tM{`=F!$OwXNP_ISYb5@wwk|3
zAMZvj{?U^ArbKJQZNO)d-r(sv{g8$xn6}`P7-^t_8L#49X>$3Q2e7UDlKq%pIjJgg
zHoU7zS*dGS@>tF_pv>ZvtuCkBmq}|TW@ZpF!M{F%fsGB+t_rs!djsU(9N>vHC%fu^
zvzO{88NVI$hjtPLYP~_KY=<rieo@0hf4>{fYJZ735}$W$#k4O~Uv6$ylBn1^j*s7M
zry9n<+Tfvxh}Rp@bKSJkO8o9<vU3;i#)!A3G}ozn$jx{5WcgT?lXIjstV{cBqQanN
zvzx6WZ>Uv<u@lV6ktZ3zl2BoR2z9<Ik?qbMh)LfoFbmnQ43Sw>O($~IQ2^%&1xL^^
zfyZK_!Fkv9k$=a+nbzmn2SzG*dAn7M<Q8cuEHzAl4hc+Q@(5zNR4tm&pO{YoF1T8x
z8HvrKdb(&$M0+Z*TpKu)qZ+^_PPc2v0Oi8lNcUe}N?rh^!Il(?mW@c`Zitv2CY)LZ
z`8;BwNekt+<MAP81c8f=kO<{Tjx(`MAH7fBn@f8eO3a6EYfrt$)s}J;kw5iWdsUK0
zok*F&rfqkXwcYp4<7Oi+JUMG?YwtyHKBvM(Pc>1_|DPv;4=hrWp@A7*fcf}#r}IyP
z3MWs$%z}VBRpScn8g=GoMO&<IkkJJf0ogr^`(IA+4jv4IZ2u%1oXds|8b%s^>pzdZ
z7gbeN5q;Gz4)gy1w<X-XNjaQH=Qq@ry^@rBovY^cvN`KZamgxsJt~M`^2cWLv`WtY
zNPqUfB|Wmc&z}f;*bCMuU{JOo54Sfb6~m@Az-)ulxC$!RWo2a;U3LGP`s|@giwi6x
zFpM<=bQwy^$^FJiR2yQen`Ath3SU6^XmzBxeb9ng1^6T=Xq33PT3X2+5cqCdB@DY3
zTLZQ2aD~IYE&l$ldcJzv8?)`T@gvA4VNX)YfBA50t^<H%po&hotXD%m2fHThi;=;t
z?NMw{m5uWQ=Ib8hWdTjKLWykQKYDt5fvb7@7#Ol0U{$WoLWB$hAp{Rbn$shbPu$QA
zwmu}Q#AC|J9mC4pmUzA9owY@7$1Mx$nVWOj#gGg1={YO?k&d>M8Z0N)cnVm0M|-<o
zP*(pE)Ek*1q+&ae8yDb80={7H3Z2@}djRa!qJUz+D>{se?I9bK451`6fD!`aV-y0w
z5UW0ACB3{YhMX`dDOqlk{Hp`6+)9m}k5OD9rdkS@8dYmx#*zn=;}?pT^|UZXZVVI}
zU==d5vaUhF?iLu^<FYry?{h(x06c$)QmgiV2a4(2+w<V=08e9y5E6(_eno1lz`k6M
zzZ?1(pat+0A1!)4Gyb3l2g$BMV}6m49%T^PFZJiOoyL>ny$9kl6NY=PcIKwP*2Z^W
zgShI0kPA4f?+`@KeGBLUi%PzSpHhw*y}~+(he1_)2Kpy}#G&Q3)1Q&x%uGY`&abVl
z&5ud2>XQiu>=g)PCJc2bMIu^TH|zv4d}kDoq#h3cgm`fpImOwMWrN*_#>6{+q=_wS
z$`n~|eqV(~S|h(t0V6y_#rBNyVm+*34~3u4fqywe_!F8?!NY}ALId=jDsc0*nG3ov
zp4yEg2W@Bl%L-Wv2rd(_7b=Gr?0nY2bxs<3*O5q>el72XLQ$Y<o9w4kmg*9}FtzeZ
zo@S$7@y*4{Y{a8+(H}dIlp)b8+)6xy@%g7ccW^bTWH@onzbNNa9hXX5Av^SPug7JJ
zE(B|lcw<4+f*^`0&QhOuWL|o0ttj?RdgPOjLqYrwX&LF=ZSKfpP}ERum+jD&+irDk
zVC1Xd$^1LVai>kq)Illp=K+uD_6FKuE4ciO_(u}_oMKB6fgSnXGv7SUC(>Zz3G)f4
zB^XG0^qs0Q;1PQfL)1VJ*aWQ!z|nvL|Mo(+ZoxhT9DBL=#^}h~u?+jMFfF+->;CJA
zs<&3@SGL8k4Y|+V$CMvFh<=wuKJbF=rM<N$o1=`4XQ$#-Ys#COm2uVSZlg~W2*$A)
zZ^LW<#n5)fr@#}Q{h4N&$?4DRhYk+;eg5~b_<>;@><3+ub4=~G^dO5*gy0GnXd8L3
zt{S$Xz|$Gc4t$glDqz?+C!Cp8sRlN|x+Ib;Px$ze%VzEwjg*Yc8TdDwmP|?p-(z7p
zhN2imt@F!!gkOKbStj~DV&ttFLw7_wB})pomG~?)p<^~3S>&V6s7Mi*e11t&y514^
zh)E|%CFL)#I_wfJ8$y{hcSBI=zdNW4pAMhKheqIrMt@#y#1>+S?@|35?cM`*TewAc
z=oWzB1$usf4K*_}V=-PqZ_6<VJqv8L$31*+V1mNiJ~>+%cTgdi-$mWv9L;+7PJysq
z>zB!+>fL}$CQ`YA!A6qQC%NSk?8>_SB2Q8#NL&I*#Mx6OUOs%p!p=-W%gpmhMfT3q
z;WV?@Nh+IlA6eqa@ibQvi0YOF3=KMea;~fm@5MU+Y(R;FlMkIO*w`VEPXOu*iP_ZD
z%hl8=Pft$>=m1oi{~1%L|04|6_Qt_6L_ossr*Wqa4nhi7kh_#mppH>Do?3a_$2Myk
z6&fFM@}b2-8%5@HE4}3K!eJk_1yv5*(4r4~dqMDjeyvSmW;#u3Xj!7-pyc9Xq;dDX
zr|J)3=XRx_?~fCHU3aL3{S61Vc*;(VZulXB&$PlvVIW9oa)J9(Muwq=#uzZh$#8LT
zsi+d8qm5p@>W9?~;q5)Gs_58I>8EsffV;8WzWoy7G$;~7Z*NISNkT#bv^f0T+Z*)R
zJU9lv#!ujMLxcw)s{8&%vMiIWmDT3X&JIMIJ3HKe*$2pwFb`=_$?C$4%xjzbcL-kH
zGsw)klB1SdQX~(#YC~bs=bX_yme<BZPM%KP<=c`vHB{}quP^K~Ip*K-)IhPEWs^is
z@0)3pUu=pkum+hP(WZZ0G<@IG*~!X;{CnJj49Wqx$?eI%1ZN4!{iNT~fJ-h7p+Q$8
z3d-q3VqDzoF6n^EvnYGY5Fe}z)veZ_K^;F13gdN*#wA8deNXYFO;t<l)m45m-p!Ph
zq0znHj|AdGpF_a~1?A7$L+$ImTLb|oo;|&f=@=v>m%0N@P5m>2F74iUv_;(GC^AwQ
zzSa_^aXPu%{M@MZ{@>WgN(1!D=c%R;@-Xx`GoE<&sWelpDqhH~<P+#fe~vQ+aw2=e
z4I~lr<$dH^64e%?9*+6jjO1>6T)z}DeNNX0O^PeXJ?#9i@6x}h8OjpMKiyQIgn+_O
zz{vu%XXw<8_tpXZ4I26E{+-ju?>z)!5a6ozJod>+-8UB8>9)Sa-FK#F>#rs1;$<SF
zn(hZ>*<^`Wz8WAnjv4g(O|`(Ac&Miu`D&P>i*7Ht&F%LUuB%K_H~n4>!!ZxI>I+8Q
z8vsPYUwUWCDd>KrODCTi-FEkEhM_0G@XjjCWQ2I@S-jXu{Wq4=9uo}VUnWXgS_xS%
zGDX^sIlDSK=(k-(AHBOg;X&d9oFo8QIP7SA($0Map+GLn#AU~7r}gmRC1na#HMPG7
zt}ilP%v)*4vaql`i+>!SA)i$ieh1GV*k#Y+rQ<Ucm?5vs$;s)yk|zS(@opm$ADE^*
zcC0%OrKN*`2lAK>u5YIW?c#EBxVY1p^6y)_x(roIeq!4KQ-!9Xl);EswvLP_u`6$H
zePrx*fsf^9i8{9-{7})`IA|O5S!_N!BtG>Ks-BL5l${x;Wu?!PW&JMKT%T_HdS_oW
z4|k+q>hfEZ`4{ejlrpK^ADtM=*Pl8H0Qve{-Haqc$~zfQB@|hTh2JoU_j%Lg?M~)n
zYtQWWnhKQzXuM_VY%O|I<|iw6D2KvZT0$1#!%4{c9SVw1MA)|O`U78%-n0>-G_iv}
z4;#W!(M2RRRQG?FqRyu?JVTaBmN1T&;QzlA?ZQj2&?>BU+|e3aj<WE)a(2SQ-O;KF
zvrts?d?nP$5{L(kPm(JTC~mJ*A6LB_*LKg7GYN_$gv<2FolmVBvwsh?3pww)PaMHT
z%rz^`ypS~HBxz*8iSm+(y>^0{M)z(=mD>sSBSz%3w4*qOEInnj`m)$2K=6IT_4mg{
zVxLar%wFO@f0FB=jO}`=6#SF^eoP{HD5drAMbW17X-(qgoyPZl;n#sQ0%0(RCx`<}
z7KPbo9a+G=PK|>>u1Rit!+fBpKj{bji>S~!i?~kK`M5eeICT7Ii4<AJzIjnOd2~zg
zORXJkw$%4e{KI><`r6TurjDZVKFEEbPL|Ff?0~9+0BxVJ*^k&&F#Gp8ixrwQ;K5{b
zMk?LQ4uwo&za34-a+w`(erjUvh!2W8e>XsBhu3%`TTx(-TU~f7UQkLslk-MzL-nvg
zVYAz5hlu95#<N)X5sy%S6=HRwq5L1iAG*ZE>6A(lTKDUm1MMF(<kE0|9sRokvz@tp
zuvE@B3vfVrG>5#!yY%$*EG#P!P{C#jMWOqgoXBRcp#r@q7FAsn6O*Nt8_3uM#bXog
zsw?JQ%$R2eOHkKOQflqWcuLH~@JTBpOiJ8-w=eDP`wa$E$rpx7>OxL`KST7&(r$hB
z@i85&u8W*|w=-U#D^X;9aq;!Yjhh&c{=uG~{eP^z2{@K*+b%3=P#O$HltfYpWh(O{
zsZeGz7nLHZ5Se8NktB1*B2&g>9!e+_GG!K-GtcwCU+Q_+`o3-bYps9V{(F13_j#V=
zzVGY0&ht2rV?XwNKe`tAHBW`kjz<3wKRR;!0`K6U!M5!&XQu|wZ(T`|axGF|_a}8?
zVq)q-uBsIO4kNkQ*!q{oin1~?Y*rRCBO>$^6@BB)_?V{uhAX<(g^YJSt?7y8{+^N!
zk%B3MuX<ft-^$#zu(&8Ece^nu_<d<hi#2$zTwGj$4rOIzJiWa33qMFA=jA*4pLc1f
zV|zE8C$sp2`&_NOp_l*eS~PdceGZQO`UO<&_sB@O*FNff`!tx3fM9&;6rm6Un1?HF
zY;42{g;dr6P_)N+K|w*ctH6+71_hn69Bl)Uo80vyQ24-{VZc$_$VeG|0)v7sTMwdP
zNauE|K8`YrmVqI(yCJU;Rm#Z7h{piDC}IM`g)Q#@>r75ghFwBOM<FUo^i?ihxDa1<
zfd?8tJWsr&XI8|N5;=AW(@QR}%JzgHa-kt|8r&Vw^w7tF=E>uFGk7_^Ea#E|<XT<B
zL=C_d)+>t^ZdXM_MML>+-A9M4T5Rd}n8TXQojZ31k9UGP1<(e_HfXd00s<hXRFP@x
z=%57on*JMjiVQbu6>iE+WMt_6s@O8M{Z3U=bAa!iWK@ulMS_n{H7;RlauVE^+s4K=
zAfAFZ4<(dp&*7l|bRT;z$iLb$XW{vx^4Ma4Q^p}pu+?E1kdZNkyM-~FpbG)6f*uUQ
zI)c@PUfwx|)2QC{>=({*1wyiU_S`vOt6+Fr+t`$sl>sYDpAG=$v=%LfPoF;3*Vn@#
z7yW{Oz>>VNLRl#^MOD^j9($u(zTP@}v}rrLm}i8;>gnUhy{`s=O+{<E2H*yswQrM>
zpecLl>w6E71sZ%6*U||sJNQuaY#-j;-Iaf}J=Y>JHMOQ*gKlqSI<Ae`*S)$wR47nL
zK1$*4n1+5@P<hFi@nUx@4-TN%ORv8{MBn!1*VF>D@8|l#`iBtzL@5N}>=5!@j7&{^
z7V1vdpCL^{L$lRY(ut&V*G!BGyDIyh^}__G9%p61f>U@{n8~v3^xXW_JxAhfrk`!z
zapKBJFu*{c+a6IZey>|9Ld@>n2-*{u<mL4s1&4euz97aHlr2^@OEa_W+qY+AW{R2*
z)S$|h)gH%&z_kUOKinpsb7=JX<m~Jnv~1Bfl#+5uNlAIXf<_W94G((^zp&}tA-^ws
zxpn2F5O=^i_kJ%516o40I1N1jP0<P6!&De+sy>E?+!49sb93`)QPC9yo7hXAy3pb;
z;jxNLTdg<Z7fe6Tw7bi8$VWJM{+N^lT9r$;Jj#21hQ_U44!EwdSN(=JqJY$=bWVHC
z1WFu#$69uoi$(Z|KUh&+em~gVt<-OyRQ)Yp=5D};NhaoKTrV_s+}tVMt{iMgCBHmp
z1%d8)WiQxV+DKQ>p6SLifYFJLf<p0%C;Q$f=q%gX+M@sDX?hj=rDdo<Uxd*V{TL@F
zCp77g>lT~!^mB~b!-O2~Za?|UBQ%syMS5}rS5r@Hz~W5KUQQmmz;lRZe6#ud_*LaM
zBo<YKVzsYoA9D*dxhwXMSnH1?ryVO=6C>um5;#Wer7d0ZsKt<3yh~5V{&*R0wqd>w
zclV5>r29>P3@b}>f)+vw!<U29S+k!n70#?%dMm}7gGCt=i1^_z;~x@IVPOnz0qA(F
zr%&fpUA%tdM!-$fAx}nwtMJtz5<$4Qc=4jeg9k^VgMxy7{J6Y*`x8e;$H_+IY-nwX
z;FF!5OBSa3O-xLla2Gh>E6$*}@77Tt{Ga#et<f8CT}GcPDww0^*I$$RlT%Z0HSu4Z
zpTBnF#^S=lah=?EXs{zrNJc$#Z)<Od`%jLdVyS<Se6l{E;ljc~0-T006J1UBn*e~N
z_^wyHn0#NNI);d1f^HXheYm-@WOtQ^n}7UJ$v1A7fAr<*c_Qy1&LXRK%v;WdF+UU;
zQohiiR+xSDCujf$l}(w(>dZor0|4H{^G5EtdFTF{rl!@ZV}y>@`0&0v?0LAI8JwYk
zf#~hY^!h~Lc_J{1-~Y8$y}%M&cXO}IO#VS0^+%&@AAbFt0MqR%si{vt=&t*{=4Woe
zVnf;2PiU>r$gt$}C(fZD{N!>9B+t{QRde1J*`jwhH$HwIhl-~sIurh1uHga9PEN8P
zh*ydSDUqI@zCv}3D00l4+b+gK#i~`h)Ua|mX#c-G*jMx-FE&#o9FEm63z<v)z)Mg}
zBdUEoJaWM2F7<7@<`f?v&)Onr(xRgL1p|O*vS7jx$RJ(>@0{;f(W~g}Tm$7}kNTJt
zj8)3}r^Y&q4pLGoez3O?CqDu@-TG}Tj-zu6SaEjq;S`M2vC+)(tx7!Et}_E>x$XSV
z$5Ow>#vI1G{uw2Af9d7rg}b(8^XB_&`+2UA5Ijk|%#Lq!)o(~p#p%aC&*TV5)m<tY
zVHDk4S!Q3k2;KWhkCftHf~bPGjA;<2%*o3$qn_AIMn>3Q*ocq?E<lR$t~d9;-04sW
z30bk|Oon)4!EV}6t+rQt>{7i1>@U9e_I`2U?%i=vRv;`wL2F=a+zKwUZh<w?ZRzN+
zM+*&Ackf4RV`(qCD78d3xuCAm(GCPO;0#c6T*WTH>B;Xe2UQCW@@oGYXoc8C*WlYh
zGq?Sb+!2OTcO!L<ai}F7Wh7MA*rNS?efYvZnwtp#4A>jacKl9vUtG%f3p}T*BzGx1
zsfrMHKs=R#y}^wkZIV?2dmVjvo|W+{>6QCf#mez2tfOUQJUPJBp3<Fo<PP8+e=+j?
z@OS@Q^O%p4GV&~$At8K+IE)SYi~FbMpbo+$dBj*fU>|5+OGecI_iActDlb2`r1HRx
zh))@4z#?jZ<%u3Fq~I&)28~Zm!9`19M_&fk0eHB|r+fNy*s7@&|5<+xlH_RXE=Mr?
z4j{eTuwetvu_sTTKK1s-poE#}>HYjhFN%ta1mw#7uH5&UonNmaNl4^|(X+<=0y^Ff
z)_`1?>|5tUn7K&26tuutcCHw--|}zLB=L5<$49&nQh3}b^nGGX9k;aoWmb{I5}G0~
z>U)3v`czg%Rg3>pEC?j9ruA2l68JmFf#z-Pv72d+YfgV*iwF{WrI`?NW`LKMxBBI2
zYFgSi3P<5|a2i%&2$AZ$9k69_A9mLwa3uyGlW2zl)B|iysO@oMAT9zO?Dy|BBuXa?
z$}Vea2IR<~@dI}9eAkDKNM;QT>Ht3wxPNKs*|jT<-6$i$!0-XN0x#U&j~^u&eJsIo
z+otxRlst0_7Y`3<zC5XfiE<dJJs=AB1KhiFXEZ|VY7mrXCLQ@e)N-m+F#-bEgna3d
zl`S{7VvWv#Hek$c<9q(K!qMy|AR2fiF$Zbq2&<Eo8MtF=GW+t~`ab8E+)F~jL~=pu
zAC<!p|DfiRiY_iLhC*zJnnFPmk}LeHXO_xxDGe=KJ!5up@u_h!a+1u8{@drV8@Mi~
zMpm7jot?#|#BJd$*t$uCPYw?PcNB3-50o)1kt?@u1xG|U{5e~&!i9u{?9r)!TNA??
z{G=dA;_$BkWet&8i*qlmna0|3rY3tU`}+EDK!P-<IP++O42BEf1pyQER&R0JK#@@W
zK&!0%Qo*K+bmOZJONUA71ypUkw2h30fZSy_;VvwW=8YjNHzw;0|NQw6!P3D>KW#gI
z_v;&S1wq`pk>-qk=${4~5@`jmbhNeEetvccKs;MC(OsM<KUmrWfkLthJ1}Rga>=yI
zRizGyR>)fb4zL!UP&q~y`3@|)B&4f2AF&dk#kf%VA^TL+Z1JYe(#~@iNa9Qq)QZQN
zGuXJfecX{8KO`(AIvv)+EIY_4C~Sd*!meT7wooPpJGBvAUkbnD5(f-W%NrW1=N15a
zZsR6M5Z?t78iwFi;O&l(L+4ieemfcIohy|<HWO$mBH8}j2<H~^F+Y+k`&Bu*ke8j8
z0_h1IsIG}sZ5Y=jYi15XqJiZ=?@bWwR?uPBDG4U6KZg^nr3uwib#*mcG%Q^Fw@yt@
zAC5*p9nD<tD<q;nyIoo~($dvmvWg%h>50?aur@zoz>I`VKv0mo00~_bSa@dl@9S$2
zy#i?4l7jbd7z)F_c=>X_+f^hQNhZIndp40e6%^QcSh2Ca={}*lV{;8P*QGeoyH5X%
zxZqClJWbd$4#Nv6l@BGyaj;sU(}MbivKBIpSx^CogAYoqC@UzWn)P2|rsugLF;R2`
zS|cf>S*7Rd?jfg{w-uxO(mQEHwsC;`&w`D7@DVG6?p(t*tK^=7`HjD1rpCv!t!LQh
z?k3^Z*&`>ie!WGZGp=C>@>i^x1cVI24P)YL8+9KU=|907o>I)r><~^!^Eigzy(c;1
zw4K6;4V%*Op2}Ot{)$N?5vueL;5TS#Y0128=g!sfl3f$ir%0I5#0NsR3I>D8?b{IN
zWIr6t%-(eyPB4ABZI49-6-`u~H%z-cp*Gs3eMLd|ryUiE*Q?)ps}*$!eaHfl;=|6X
z`s2swN1w4#^iZH+eFAjEDj?cZGnLelYTGF&<YZ+zIwsLjLY4E@YP)&?BoUdgX~7oc
zw&U2QUJYl#fa|he@f@6-Dv1p(K?$4BoQbV0)j0Ow7R|8J-0bX;Xna*T>B>0k=;)v&
z)t0Oy%=}R*M4>1qCZ=E^5kKwTV3Y~1a#7*^-fijyW>c6nGc+WFkyGrVq6MF#LChR=
zeg8W}iHGl+zwXQ2;y;lrE{upBWr~@MRtFCr1PM1syAa<PeOUi+t5;-(hW*%jyBGw1
zqY$z_Os>#6(ovB2C<Y&um{N##o{)M0wq<@*D((ed2o&O0<5zG;N@;O=`M9G-&UDsD
zprP2IQA+#f>3@GzTRJ{|BoYYR+XwgVJp_)+m3ZpZsb%yBoj32894B6JYR^e5=md>*
zhy()AFBoj=b@&r`2AuFPyOEGWYLcS+zgh`w(R(=5mZza3S(#RbaLqy+;O!_XpbK!5
zgP+{cD9I3CvNfy|rSa~DlfS-@I(4DcL~+yCmwN2z(I1EdI611meqC8!PB`%2_cR$r
z-{UPjFVVyTFU-vyLgL`MFF4`#8<R9jwTR*xy4Xz3<G$x{1fgw+fGNdXTj9?kD=(rJ
zbH$MgK@&_hyHQvpcaM5!rKfjmLV&k~jYaEI{`aui`RB07wCUOqX-%_j)7+9ZIVvz#
zO(4!)-QANoZp%RNd^lCs(vk~q14bTQzjQ;HczZs2Z@D8JwQ(jeY~x7V`d`kA9o7W0
zM7)L^Lw-9MYN&Aq0v%A@ZGaf(Y(r2e@Vd!l6zK@(nNC=};8XxZF-a+&eW&!}b*miU
zNBjd?#rV*bS3Y9wQ+>LBev2gTnDw4<UteF)Rr+*WkvoC%0wljG{{7$2lsJgL@ZrM;
zsZTsrYb%{=c2H%KZs>dWSDnwZHC&9N{L`o1AnN!9aO*uC`r~v-!rqW)Y3g<r@lds(
zp}nn*&Mn7wA)RtowRJ$%!c4glWXQN1_y2xKobr2+RRaR{?%rJ!dy(PHm~0AZ$JejN
zxwtOHt2C+z{Q0swwk94P<bGin=Beu^{g3{Z^wCQfrJog-)dxEz<M$as6@$MH3(dIo
zjwoEe2qikvZ{42%`HY)9_Z{9W)g8Tc;DSR`e!0pssb;}}1%X^a|Blt0L%$*gz9%}O
z>h?fk1^h#?<PV&#;>70}zUu7R@gnVf*tzPg?^6y8qHJ*^)9hUb_U}gkWYf}W#qm4#
zBkdKoeeCyj{R6DVw>>}haAVrgB+F%Mn@1<V(I0=6VOWg@P{)@q7Y<W3x3>E1;|23B
zU5ZfjBUetnT7q2ZnD6<dw{Kw=mxF!<Wb9PFEf4#ssHst>x5A<zO5qgxy(cYKCVOR_
zB#L_`@FVDC5lBjS0F$#91Og?QUs@6t5|TOm92M{8O`G=6&<xy9%{_P?=#YX!P3P*Y
zAW&_jT5u-l?af4sAChxsA**qw5*`#rQhcb%`Wz~Rl~x9YEo@<`2w#A%o}MWrMMONS
ztII&{WGhybKX1*u1S$bu68r@}{-HnXN=ZRkTd7lTwRPg~=C5aCl)i=u3m!h~;(pu2
zMA%|z8sz}6EWD5;;q)+K*|>2dXg^1M&qKutGz-)sBrj&jb!%#Bu$MKpv;u!jB08a0
z9~c@s3_~FUgIBdTE98nB8Z2=1!ymF4cqK&EGMxBp|6*D+rbTE>qMAp4LES}+$XM1(
z>H?7c{QXr+A1C!Vfyawp8yrF1%X>0!)s;0i3IOiFAED$&>0t6FQ^NUa0TwPo0)%Y2
zxw-c_ppeVzCQI;X06nJy0E_qgb=;Q3G54bH2kBkcUM&qz>)m(}Ri{yCdz$jJurM$k
z%~m>aQ*Yh6AcZenE5Hb?CjuKx`C0;SNv5Wz%$oUD_a;o<->iM){z-oVBV+MgbIOoF
zjJl%uC2Bb19<YqvKY#fWKVPO10Olh6n53qGtOowbmS7s6nE_u<y9Z#!Xm_`y6rB1v
z3thi2eP59%TpZ$H9s)~ts=qqZ8{-*aC4qyW{yik&zV53a*{8a_Y1+MrKbyw9R=6Xy
z>~)g3qIk&e!Ji$j(EnwW(!ZTnN9}IXA>}AqZe1ulU90;ePTl+1)TG`j1`Re^sn6ZB
z*UaFO0MmiU?v2UV@W>s>NI&4l)ek+lBm;rurI=kydwbZ@8)PvLZ&}&cWI>{VHnKKr
ziUnBD`1_-Hia3Qov12iV5##>$?eV#4G@wV?a{Sy0dx?+`%?ZU}D<&*U=4fb6(ejsL
zK(7bA=js)%E4JA9ouDP)T0P>BRRRyfi39LCG3wKw5HiFP^N#&P@a9Tq_W>{?P=8le
z65a`{dx3{?YNY={r2_iyus0iXjMBr2?ozx<0mv|sk&f3jn5mwWLg){rC<04q77yl~
zCa>iy{TJ+MRhU%J-X2&~jCwHajXfB<5glx-tYB`cn|+rk2ltFA25$VByNFLMxboo<
z+LFWfncQO4H&m|(eMiLr=4b<~gWdi}sYv3A=2ee{CD3SFpuM_oF;*R}V;wKSq!6zH
zXrYbz+pAZv-pB<%fB90oFZLv_>}q38j4W+CZ?Lc>mnF50kx@cM1}`O;uPEd+FJC4j
zBYW|*e{(WzIgcE+8Z}m0_|&!mD<<5uPUQaRk^(J$OtJ5K3Q^N8;y}=1s<GtCF{(2z
zM+7(=4dP9-^`FI2<MG-x>QN#W2geilZgkgsdMclMK^n{qKggaQzu@4({{AeGK){DV
zHVbf+`M#y4{H0460mrJAWPUQI8(ZJj&JGaM!>(c{R40_RNaEdZR=hZN{Z9FZ4^jEj
z!E$OJo|=pAM%oM2O=M&we7)|di8C90fBgmD7rt9ppP$rCvFXZDB*XfPkGl5vQ43ej
z9<HBgG;q7U#2`Q`E6a=ktFejtjm1cdKf%KZ2o7!rvWTz^ch8pAR<pC*low)DbB;yY
zB8TOo9O*2IxZaE?j9CQihRY(91$ImC^UFLPPQ`t90#34D$owcm>5(HhP@SPSfz^bl
zwUdG(X>p=~q`;ncd~y<iV@lVXkj<k=C1M<0|ES~W369r@+zksdpO=P86@va-1Q;cs
z_iery1NM}Z`8rw^A@WdC3jfA2Q9n-XotH1^FWkT`X}kDaQBe`qp5HoF#buhC4K8ZH
z9oyyk6O^zAEPPa;(j$S?8(Rd8gfwhcG&nf5v+v>zL22<T;3UPXk`E0O1>5GqDS9bn
zF@!LN@6EMRBR&tO1lGXHi(%_+WeL0YKoYPgLxrBOr_aT_WO!lsDw-~hCG)b;fD~MF
z2<<ZPNkkiH)YGHQKj|~Gi+)%Ff@8$K&+Y17@P+hCJyGi37mP#tmzv*&R?}PLTJs_g
zKq>&cl+@|UCwIy{zt2{0T<0_aZU72~{FIu~^4w|5S58rbs>Ose4T>3TW}x_@_RChm
zf`|C-68(JM8(#4l>rXrGF~n4BGbs+iLQjmYTK!6Md)}znn3=w@N>gcg$Kliy=FE(Y
zj0f%Ke<J@~Sy=((C}g*2KJvC5lp2KP3o<fr6gWV+15zs>C<u~x!J|hC7yxp1oY8O?
z#*O#>1^o3TG1wcR9dK&`JQFL(|BNF7+33MjcZ<u)+}uZzd*7^OW)1;SW=>*$a=@Mm
z**TGXfwYsUTvORQiMU6t2sg`Ym~IiDjD5IgPw&`R%GiXubP6efOaXR$2^t6_<26Wb
zfqT3GW`-4h>;z3z_C!zla7MY%xuY}zR)15qdiPw>K!Iv6&9^Lr+|!F&D!3o0r+;<|
zdCK<K(w$A<5;L+m2*1(LfzOOa`n3!2I-j>)g?=FCoEw%)$o8p;iG3&ZrLJB3<w8!4
z-7?tKH4g3-79X}9U}DxIM;gzcM5%WGXBfVL$4wOM+V^y0iDGb~lol2Rz)!zbRz7+1
zge4ja&=z>fo-xU}jSB?Sv^bOq=qE2PPx#a+JZ5pbMLu!y&WZ}c|FI<%;e7w;``1tk
zgJOzO<+M*ZgP83p!CiXZb%~Ds_Q_p1wBhc)AHZL?YIgbXpS+IGih`d}();l<W~7DG
ziA;*h&-qwRc8E4eefs|ipOZ{>Ou2&XPqb}AnO6aY0sJ78EZ95ZYYXxw<yH^P#h;-X
zgC=MgKgRCNvs)5~s7BWYYWW}F*MAgc4(}Nmv4gZ9=|y{y!y4`cXC-oqp?jq4a=H<o
zx%7g=f^nqw(AIZ!bb#y1W5K+>v}bCtb_mBDp@+LfUX1+*;?s%oF*9|X9&$n!bMs>F
z-%L6c!oh^3rGgJgXCqEtm-){RcC-;l8tP7@Rn@_~<@GuB(#Y)p#7Yut_zE|`h6rU2
z%$z)K;=lID=`}qgm?`ToWjI!2zi*4E28FU0^eMP_QY#y($o`MNLBLDSA!GS12@1tX
z<os-E0p~&vM`K#s4!)*(gX-T8i`=$p8Sjuyiv_8@A;qNj4?O@sbu{V<7W#W7Byrk%
zth?afR90{ktWA%-e}9`Nj-6&4kumWdqEzJQ;_r;=J01D)D{Lh^0KJgv4L2k<VRwS^
zA)E3%JRBs`2_#BjWx~bk{9!7h^&(#ltd?kXR~76Rv$X;?D8+|vtLt`J`hm;%oXFJ=
zoCI*{aLD&OrUOVx0rbOoSjgV6>WOCowrpMW+3hBDmFWn-JE3+ZdS3lgXm_G?MEZtT
zNl6JZ`Grziz4M2kQ?-gatcuKa146=S(KEGBCPX;g#<i~ZEtX5+j)~^yhXS>D6^yW)
zhZiZjs7MnvmM1un5m-n`kr6!}OKdn;$5U-3BT@nEl85+8@GZe18SUuf?QJ(R<gaiP
zjY_5XX{0iUxBT57a6=^yxLqJr)D^6|w@PEL!wQ7i8dWsPzU*0?I`<lu&}GfTd5;X_
zKI(V=J8eJ8%MAfSqHf`8&$FNXt-(B0_hy$R0|uw|ds!UCyD9XqGnX_Caa_YN1Nb!B
zR_(C0Dk@q-LDQI`SA85q;32wlMshEkWPyYV_=E#W$m@5Yz(F7K;#mIFH=IDoVAAnz
z;nQ+pYGQJ-Tlem!e9gBQ?!dHu*+f2&{IO>O8F>Q|yl!tmh+yKfG9!H^GU!|Y18Qmk
zPjBH{No-ViJv0qmYjI4TD{#07D)F0Jk)6QL!ap#u3B7*6Cjr+J3*ymd!*L{pAXHnc
z_*Sh5n-(M@aBMr*R<pRWA_ITSAR~o`8g$`91tN(5DCdzNjRNv4;n}%!Csq)wx1)=S
z9Q@xC1>+9oJ=?6>ZP@Xz(^&waa5K5I-d8m@2fM=p3!jMcVQ#R_5HKHrM5*ak(<1l+
zi`vffoIH6SSgn6@a#%<qKpiRc2}GHZ<imR_PKmy4egTQ}{UUmbgJR3LTR6+t$u=ap
zagrOvp(H=qie&A;fdgL)uouw0$#Zo*3r2&!e)O#FKaiqh(TkdG0%xog-4{S(Xm~HZ
z@%Hu>3*AORQQr|uXe|JG!Bu_{=jtBXaa0OG1%R}QQX;rN<><<(T|z%lHAF&;m9-Z+
zt<>xGS6Nwe*hdjqO*kbc!%q{jB2v|L{q%}qcoiLeL_WN#e+o52zWJb%rR7|=EEI8s
zH4K&<j{2^yE@;w*L%BhWr$f|h8PbtQ$FXH7j6nL)>nj3eU_OpUgZ<iyB>@S7A&+~3
zuW0-xw%_eFI`FE;wj?hR6a^4EeralJYa=R8W5MAQ)<ct{%pkvq&i(t72npy+Km?tJ
zzf6TCo(XeylzJF#0Bjp){dIeJ<Y!0y9zQ;J(ZqB3H22d`-DG5k=63-nL;Z>umRL^C
zL!6uFY2527-Y{~e3v^cZxX4I}IkI}A82~RHHxc7YTXW)nXWR57-X$6)HB5su`{xOT
zr=g)dei>VKk4pg>FKAB*A*O&qOO$DLv#^HPu|=J&X{(vp6xDGNMjv;GZU(zR|1c76
zt-NMvcuopiUNNyj=xOvCL|y6W={Uf_Jb99}3))g#4BSYtEe@Q}ci{@f#W-%3O<|lz
zW>4+w<0BvAt6c?v?RE7izSKLJrViC1s-|=Bq{?o;H}`J%kxfS)W=%{@F=!K%&Fn(U
zzf7wb)FwMTntG2&BoChvegl9<A`>76GyBT?G|p-UHYcoeWGXM*0dOSC=Bu#x-muAh
z|Nf5lHo?;e=W1-6V+p%ki!j|yB6E9&kWu<eucATFLWsWYvU78(Y7sp=1;NvRkyg)P
zG}efeObV%hFlZ6MCpaq^#cVIL`%@9EBRJ~E#Pp&aY0ue<5)QkNvoe~R=##RehyrEl
zf)r4DD~QE5T}6QegfMo^`!rCp8p5#LV*pDPeThCzFbaTJ4@E~azv|_|5qf7ehk&ke
zfFR)nccv{Gc@L!Rz!I=)eT;vxPoa?qKG642eLA<$=23+5>m7bXpS!r$m?{rn4IneC
zsHhzr@zB%3o3kG<L$F6;gJwHbEiC`1n+bG`;1lTOnjeE>8yFktGN8|gd=L#jBxcQ-
z#(}lp=K+Nh02BHpuwjN5<XNWOm$kGwXtw2Of7>+uySc8SVhC_W+X2HpB6sZ(I`D~D
z#@NPOQzbO`5XWiGE}Xyiz)29nv9Iglz*kvmj9@%EI*OAL5fo~<qUFi$mQ4pKy^(FA
zna}SFTVKALd-v`ojGeJLP2p1E?~mC5n3?SYQWeVUlAv2W6udY=zzT+Az#wuy+-I~N
z^wYAT#y|$hh$Ipq?w~{a7_x4V1df?1<LXc~uOJWn7B2c^y{}zSlFFG_y@;5K>n7i^
z<L#;2_zFZ(`lNL6cjC8w@EAmhK`ts6w(goDAv%rL7M8F%mIflTpamC6S!9#wI58dP
zDe_Hd@eswx$yk@BFwg``9;qxM6ocl>PTUe4SW83__m_J|>33|3qW)W5bklC@x7cHl
z%BK?&*a90|4mJ{Q0uoxt`9D-mt^YR3Oat&A90#PNr0m%mNlIweAv6%CZm_zNmUe>+
zBDObNHS;jY0l*-A)%)bcVA5~{NVs}?Rh=3BV6}18e4ljvYD=}PqnKD_pGpoHez6i{
zHnS_2Vfcy<=;`i8<)%17x(Xl?ORuS;4Y)LhlHjz#5jlbz94_t<ZnM1a+3LT{yhx!@
z+MBlB&4XWl&jsIp;Z<<Nuq6FQ3^(6OM5<x>#juwXP^vgd?B2cmE+{VOODQNk^YfcR
zcLkU)0FD+kuY%+~-}V}%Lr=B-GXJ0(khWbZPC>aWosTtd{xmD?3E2Z);eq7Xu}6*^
z5dikms&8T<3W7f^Z6Njr2#RN=r3v#-mwk<l15STZN1kNEZ4YXv(i7*_t`^x>O8=re
z{t7b}s2({xLthPHqpXJ%-liR^6h|xW(=7uyFMj5c)7IWkEX#m}2$WW|o%R1~N}mWS
zu2`#?WPY^MZES3atmeXC3=T**Tt+7*CSK-zpOu9UVm}gd_*}}ksOHY)ZW8^Mf>(OS
z_Tqhu>;HU8zIfeD%g_CUjFJN-9i0^n6FsE5aYhXe28V~+698<M>0>uH^oJW-T0-10
zhzbqIB%DzQ>bnjI)i*TwYY`b`+jf5$esBjd&5$`gGjpUqz7Fvh=p9}}r#V?i>lQsl
z$!_c_)d^`=$rDhmjB50OfkTu|U%wWh$iqWt;5VA~aaev8JFB}r>hB{dc7M%2Ynyz@
zH|53e>%mSL#|X0!hlO6+9Bl|KpmGgE#0m-;7#V@BYu^1{8Ln7l1%QOXxIYw)t$AQM
z0x9nO4G1YPXo0B%!ooWh_5!p7ak$;Q8Hd1%Qj<UhRbG~$%6%CSP{vb*)AUIep$x-O
z3H3D+UO3TZV=3b5AzDDgfoM_gs52YOr2dx|({t6d*Eghre^D^!klC>&GzT{Cphtq7
zc^o)2HVxW0IJb-}u9s|a$GEOE$VJ2=9J)V|>*?v4EFrEVFv&7^uj(-d%Mr6cm_vjt
zj3yQcyb3q>f|U63cnRv2cl*$%ad23}_HF#!VSJn->hGe9&Pre>D^jHA^pQF0Ux75Y
z0~dxMi*&2apaXhyxg$?}d`$5;N)v&#D8;K-KYTcYh4v{LOe-KG1T}^$Pzy8!UG*5H
zi{T;**p2w^IAl2rkBW$Bzg5E*$?3i|GTm&W=PJnZFBiaMol1-?RP26OHRp|ve#k#{
zK$YPS2YC;d*)6n-W3=48y;%X0!IJOycUd%cWnyG5UOc`sZI!8s{ZxhI<@BjjFU1`?
z8XMowf5#95<+Rq{#<pXbARd)~<F|;$)4wo{=!-BNwu1rR-q8$;IEH`Lxt%Rn!QwAt
zXKQ<smlxfz04|-Ds54vO^c$scUJAh<4t6rvdwWQcKDZwhBVL91L2yW+I<7rKoEHFa
zq|cru<ZDtAckXaeg4RW+KbCnAADxSDhIK0U2O%P<r*HonpXT^lXvb?qH!TLCu<!o`
zSL@FDK<x{W|2>wrfoZHiP%bpeRq+QfdjK~yXQ%+6LX1H+`8dbQNG!cg3N?>M*oFzK
zQw8f0Xk4AtP2*aMEE8{ANQ*2**ri)-W=%^o!|Ku2P(@dMIks@qdh~*6%suLlSm!$B
zVF@Y;Anq6?&Jo{YUmuYQtW&nM5{Ej5w@nu_1Ox^mJt~k3JG%q$DRNw#gS{(ulBL<y
z=cSMnGuV+eJd23nrrCCnH1RmWIj|B5N0JE%L?W~cns3X<lLTBPKX~VYJIq>0^XMrO
zG`QLY2k%=XPdN8hjdt%|Dqk=@J)~kUy-7yR+%>h3`I8LKobmMiPxTrqTX?IV76i%G
zKHRgZnLNmXtE^&x`;-0&%9z;LfSYgxRvx@EYLGU4cNz%}&i#{c^Ff}`^5tjcD;0K7
z@%A$^>fW2VB!zr+4Q8o-*kUJeUQB*WcsC~mqxY-8H!aZCg#2PN&7M6NQGs;1XIOIP
zF55GA^hfc!7<Ng=KREc-ojXrk;#)w}bqD=5Fo<HaIa^?*zYOc8E16$<?<YS1eT359
zE0GbbMUYnw3|Mw|X=z*FBuQRVVD_!gX?|nula$2id;S`B^pMoi6DQK1?j1jT&B~^o
zZ+k@T*ZW3Rw1-R`WbX@n)#`<*1#(0hBm|6%qy7EoFoS^^+ML6Or8xJRtte>%QF)4l
z#M2YfA?}XRpFbzyp^a*$xwF#&O##H3rowyIuU&)a{m8Lnw@}2W_yarxXAxD(3MNbl
zfIW)U3Cd?5JB_O(!Q})zo2=brH)gTj^N-^g$*YXssi(QT#yT=;gKD-noJ7ZL8HTPr
z`Y^R0*$mX@pfbRWBs(t;W!f9C8GzqhhSoVT(b%I4iQMj5q`Hu95gH<NIuKCIp5P!u
z790^8DvX8zPJQIJb2w}ub_KZy`ClHmKC~FXw1<)Lk`w?q0NoE_k}ju3&odSw?ML*&
z8#+3Y2n*){`$pHU5sY`#`EC1WR9kG?A9ddOgNVreQ_PbQ%99aNQ$jkM^T_jZ+1c|t
zUoYJ3&Qsgx21;KQ8ezy`p5x``R|nX2m)Lx9b@dqHEbF6!f&yZ|6!tVR5e1sE>l!A$
z)&F~hth}iyaC=WUkGvG3CSEa9@E<N+L%#+43$5Bz9Cv`^!B5rF(gLP})N9YdO_4nv
z!+WJ|(j&`u>^pf4Y%I(`1D3^4a%N!0<<K-g>7Rctmh83`y}GqvmB&R_o=#Ga#i(KT
zB0}s~OJ*V}=h$zXis=-*{$fG@Mbt!5NLu5ed9k_q1sfZKRyw3SfBM5U<50E6eF|-&
z*()Px`iyg~2>oNeYp1*q$W!@!r6ANIsIPXq)ofheRH>x4x4`-W<|<0jeyd&DKG5wd
zo@mKzJ>x04^ZS<V$Bxyi+*$|gC7hiZt!^F-7mMmlMk0MUP?3efs40AL*Wq(-#5bnD
zHt#;AQzZSpYVCbcu<}2vdIBGJTipKm;Ju+qX_DrdtU?1T>Y%*^`!+jVSpWDdSB?rt
zu2z1FHqBC~dRxR-))swmr*GbthckyPcd>K6#vlLGixAR?wjS$=o4D8HzEIlw<0Hol
z^T#1ie`#g%PxSnO$0F@f|IcV^(%a4Ml9A^y@RdG8KJj9=-h#9h#n++8Tb-Ac`;=n5
zbi)(`50n}IcC}Gj|M+51sL$BNs@1whrYBk+;Lp-;{gE!ZpU;~kG=*#Axpcit+HF_+
zKVDosTQM3q;_R}@%EP{w$1fMDh3sui8clqC)`+uhfg<<k`lBf(!5bFDC@Fq+GD>cZ
zA{Txerg^zkN!z!yPu$>mTP^t?8ZiGZJ68o5b=N$85*HUIG%OU7vB4x!yTEKRLN%)V
zPr@l-iD?sz-*4XR*=)TK9g?_YeN$?=qNL*Wi+>?TXJSTpP3d-Xw%Cwip`eVnw-fYS
zrpV~T|9r@1OgI{12#86o8A|EU^g(QJ@t)COSikT{j8uy%yl^S{T~>o$f$!y%0<Fw{
zcKu;9(vfYmiZfNx8_dj=_StC#ZDbrgA=iIx{T_54P2iu(SG#eQU;UTI=h`>9W`Ab-
zlBjIPgk{0^i|wwfDiw*+2SrL0o&?)E`RnFwUjOYl2+QM4TP&EOQt^HBp5?KXURQlc
zmtS(U@W%${{y#U+ku3HSNhC@K#Wg1yi+Cerk5axnq!)KGMLknFX+LT2ubDi>sIxCL
z`R}yW;#3S!_>ymZp-4Ao{>_WfGir@cAFgax*q%lIWAa@vjh){wf7Px#$K%hOOHX~>
zcN}WP^wee3ykgIgi$9A*lGS?E@;3yyQ?~GMQ7^bG{-JA7P;3$jlDK+kr2Rr5^MzLn
z87KPo9uSw=xTVhK$(J_C6d3TuIBfpD$ggsF)ytekx^|0fr4IYOD{Xz-PA1>Hug{+p
zn}4({;dsxfkZQp?4oGx~mku_hL1pzT)wS23Tu$yy<J5T?{fTUGk|X_nqcOKm?)S2k
z!Ol(vCH*gF0|NNWxE?O4q;GQCbb4|8_v7)&h_s6RYW|h%>2w#x61kWQ_g#2Nm$=g_
zc)RtVxwXX@*5aIIN3H!}CV8g&^h&2Sh|zQ_2?mzCTJpU|+hPYoUo3jk$QXTh0e81(
z7n5vdg?j%u>$QfbhbVmi<cZ4IM$$9oV>EUdlc`H-)2%7fbE}J^Pp`(=$PaZWcaHqI
z5Q6W`lkj;eS6Wv@ZzG|&UYQjU731n{3{C1^a6M_};s45H>gn<Pkk%{#3xZp7Ww+H%
z5xRzz%Q`Fv+t>p5uK^RZ(9n(gJ<$91G1p4x*hHY-^~2Y{)ZzbE7#$XBV%D}7r1KY@
zzcEC%fh6+VKzp8G2@mE3oV>adStmt_cA>3CU{}kt)Og&~9>w_cu~X_YuF=~*Af|aH
zF)c~_TKv>BSE(KH%-Uhibte7MZ5BfS<U8t6Q8p!MOid3eE3+y28IAmNb*m`dt_XQs
zv3Ql-vL~f(Rhvm7@91mHmg`ww>%XqD+b=9|q9;Z8#ty9y1E&uF=cUtqDZMX-%j!cy
z!zY33^A7zUHdCdKa(O)_|5L3ZXJk<BS2DocW4HEPrMv$is{feKrq*U+^ByfJ=|92E
zD<gU+<3->;k6jVv=C^Arw;qF_bw<QMbxrA7XFbgx(>D40g3_s)KjIGR=_h=OZ2Y*}
znuk3_Oz7M!|24!2i^hUq!~Bd8^OaeidljVeLO0sFAHTkRPq290q*uhA`umv35?A(=
zg*T(3M2dORrhL2^s>Oe*>$)wx<>Yy89svSiVtRQ-|LhH}#ADnN7vEh9UP;WY3DVdT
zh<a`Rev#WhQh~<7QQp{i7>6;C)f3!f)e(FCzf`0h_6I?k85<iL7&z*C9xO2i8X6S^
z1qEetGZgX8j~=bgW)%U*^eEMbZ5fm=y_JD%hYt_fE5trJG<`)y;QhOs<aQbH&r=_6
zkH4k->M$9J!keQnTxBvP%df;FoR8w9AwNM%O%mDI99`ufpjTkVCuQt^n(|2QK`|bl
zaWKZIJU$`EudCw)rv>Rc%F>-Xb`bPT=q1)+Po#&yhJbD`0$xr`<jBI5gS7*4iAwQ(
z=n_*=NlF2pMxOzI%0sF37nEn1yCC~}n&48}PHd`7ht3<#NKgTPf_e)~$7b+5EAp)s
z>Lbi>Hv{YjYUhMiK61VvEiEw7CLEQ7gmRIAV2X3Xbfg@_igc}!hg6;guT*}Z<Gm;(
zYrAiF{*g8N=a*U)J+(<Wd`4ck%*aUMVq8cmOU8dx6i(fvb7P}%rwD^5vWhBK;)0Ln
z8{J;Rq#?K5xT0fs+`vicMyII>0v@r5wa#ncM8gIYz#IXgnY0Qp4}n(=QUf4j3==2-
z4t>Hv#@>VAhW-(+A+G@&A*T$D=C6<nAjiaAqZfW~dtx3F5tioX_lsE7G&Tmfqw?z+
z9%g{YH;QxvRFR8pa#FZvluwF4zN*87vFCV`6{8ehirO@S^A+fPk|<7JvCBCuU8(Dj
z#@)FhK2~ij?AUxVBujrowGD}B#y<JktWlc$O~lzyQOc8lr17cHX2G-v*XV5FB3UnV
zg5K5h@&V_RKnuToN;$YsqFLCYALNew@qe&wj4WcbpqVPgItDmQ$Tom=6ZI>sTn;mj
zu9d<DdjMTTZB!Asz}6fyHiGIP&d;AIO@;4IN%=MC#2GF4ET2D2FK(ZYk|}1(_4|Nx
zdcN3OanC++U^kN$3kj01NH)*Uf}z4*2ZPbJq$-OIB#w38GFwwl``dcdO4AGNLwn0j
z@OE!QO5<<>Srg~~fl#w21xhU#rVaM?HoTGl;*qqGloW$W?*rM-(Y|x*R=i0BY$4It
znE3qPDK(31ZD__ZqoY3!Ss*<K)WbP({5Tzaf4wPm*O}TCqphYZ@iR2gQhY7DKVU_&
zQfAb21If+L)|m(PPEGeSUuQMoE|tvCHF>;`jTK*;>T1KIi&GNw$ZlcIewd9dFozF*
zeBX}~VhB{UVWKt<24hH_Bx00Mxb1bQvBpD}bvZ#%2ZRnDbIJYMYc41Xics`|bOFF@
z=f0CJ3_REarcRM}UX)p|$i{66|2-f3Xei7tV)5kQ;{ub;mCvUT66??Q=~t%dnq6AX
zb!Mlx|1v)tZou`Plb~_R#qLYlrh3`TP4A(?MbJ%9xuZBmDF~kXNKKS88af!S$Bae`
zh-EQK8iUgRDe(*2`rn}EPP_KT+4;;MU9#el#JCqVqF4V5t42ule`3`rE>&8!(QheZ
zlD|-~yb{ahoAS*qadP65EQzD%JL5(Z+s*}2`(~X}q=lbT#vZ*VvM>d$nJ$kc^YB;K
zQjgt8C5FBHcXijE5~6Qu(Y94kz#dKA+Y7l5Ml@~x5upM)b~as};G9;K`B75RgPH{q
z5;LX20cXUJ9~E|;0&9yaS0bN2z9ESyPj@mpWtc8rkv+!Jl!0#_iKBI-^7a%<yTb9?
z%~|ux-BOYshLwe53%0dsXSu2SkdN)5rs92Ks`zlfqG@<GZ#7vpHHd5E>oz9yFYgjV
zR|Eb0l$nFBRxtkR#2`QBTzj1+Nk@00^N>4%wy#t@o^6Os5X<hZe~C3fmF_FInNj!M
zs}MfwmpH;gHpCZj9Xid*JpG})-qL5JAgFH0dts(4QYU(9SR*>ypsAu~h-Q?GO7ZH|
zC@z+#k#cRFFC?Re&!k4lL8xn=&mHWd`Sym!`+%1cj2@fcNBl?`$$q))walE8^CR6i
z=RgD-6Mw^V3fa0#q@0134@IV#RkjGS`Dt^dWa@DlpT;}G06#9%;aFyb^eZ?p!$Yy&
z<C!+s8~w547N2dSRA0o7N5w{`xHeL7pTB1C?u93?b}1F>?m4hJ{C5iQ^1f1X{^>zX
zdj&}7wJu}(h+tvSJcg@ROVQP_Wy}MG6P!^e2_B3;3X#cvhn6n2BASEt_Juh)r~Mri
zpj+!mrE`lvsHc!EFU;tp{xxMgeHf$0vYwH}%BfqdcMl$)>3hzz=VdXyli6hxXh^R&
zYg&*#6!8tq%!tpZ@t<vy!*3;CGB^-D#&+NNO~KX)r|6=VyQDedF1hplSEQ>hDf-RP
z1ot+Kd++NIP^1<t<C|&u-ysaNdsceCJovxB7&@+oLpTh<IRr&$6z<Vu6&AJu2^7SW
z)U>oi(FpQfn(y4*Z&ZhmK+MWQ4o+M?uuzD&nlAmr9au?diKNiB?Mj&2wzC4dM26iZ
zJZOz{=kX7DqT2)|)2&+?1(rq}Y)$52&J6r!i3i!<X5%NxJvy9wjXP;06M!{c=IpcI
z?P}B|R$wKfyRt;hOP`|+F%593i(G+bMK?l1LygBSxv+yry3O@tTU-8Y^*a^eW58y5
zbdJ*Ob+Fo_aslni^M~0dvbp`b?#JyAXH{|DSR&5+zBBQKUCKAVG=~S4<nH@Q1eea=
z9J%Q^ID8861k*3vy}VxXT$O|j2^}ajRbKe{QPa>6G8J$LyFc*Ws5*ra6~I9-2n%zp
z%@}<M*II(Rr+D{ns@##*yt%dJys`PXgx?#w`U?mBg5|6qKa(VNsR`Yk5V`fJe$+9w
zBo40O+}{aZ+oFe)vxiJ|)Fm|3pG7mDb!Lj3rjop{b%WCRLj~WiSw9?GU8SS&yH*iu
z{&8XTCtLpMvBJ=MCwcqZZK_w6Av)6rk4aMUkpxp5fG94m&5mFv3gnHVv0eZ^3RWs2
zVS%m#auX7;{XcCvXj`Lu0G>L_NLnC=-Van1<Xj#)5ML-ZJ1fO&gNqfRmtfrfJjKGi
zl6=2Fh~eR@L5_!5gx>LPJ>;@ma;wFblT5Nwg>0{{uKAM{uuj^XdA*o*YWy|d?=k%~
zuBwg=j=R$VV1OaQ3t;v2Yn&d2NRkMU3f5iCCy7}bL{vjop`+6d@Elt8w(Q<e38u?P
zP0+16`0$r6_*S5lVGCmF*b;<T826-AWN()dTjsUTFCahwXb(<&ocq|7g$sS5z~pCV
zW=v9c0^MB9Y|>?bLjq>+$jcX5&ls7TPd{gs#UQOyciK*g6{$2advAAA$O}Dry#mK&
z_`|;7<k9oOJVu$lZ+vP!sS>4+PtGWpm2KI1kmcDV<JK5Hlfk+jIe{CFX17<IH1B@*
zOFYHsF{35#>@f-wrohU3WQ7ez#>Tz(Pd_cr(!6+a2gz14QlMJNqm^$f#7KSQuOwnx
zs^1qf5_bP>=eo4YZ)9L(xwyFaekaqgGD@p>6;GD&w~cnv#7t+{LS;dnhTC9ip|^X8
zV!qKwB<kI-H(?75O&a`0<t35_&sOELS&OGSjt6H*o$r3)Ad>fc(>Ie90pAq8&Nuc=
zWvk4@V>;xb;Nzk^;4A#1hs!Q?sDf?nW<bG4$BQYI?c*2960Ywrdft`r>Gf-MH6F>p
zp5x4}_s2cwUVn%(89G7yGTvcEA*h(ea<Xt)eu3Mjovi-#fuc!MT^n8!iGfeIO4cUg
zP4(EcPHo<KP;~MY_ww`2S+RkCe({hwL-Dcc&#ZQ}ncZW8HWVDK5%gjv0c#Sv!dZ!n
zJND1i(uQzoWcGiTQ|*;vdf|GO%$xqr0CiK}f4;fA8@b5+!9}0eV?`^iDPt{VylAE|
zNi~RTG>GTSh@ScLIZ>^<E=8T=Y6utoDmdA8t9XQB{knHc#<5%__0f*3hvb+yfS>;O
zj*y)rJO5r)d*9t{D<)pw-If#GhR?oiV4vMJ&cJhipzfNW3aQIloY0}s2bSmlUP!%k
zQ1P5xNTtS}#}0Qs7u;5CdZM~o@uM(``pp8{u1s;6)5+JWpMEqgJlUkeAO3Oc*+a+t
zdKeva_tNhqk#OfbT&3_Jth(3b{z2dGSsU$l{dq3CB?YgLcGg{H;A=iupk+67zK7D_
zVSJyA+L!PHP9^6aU(C%Ln&;*pd=vlGy65UP2@;Z1p_$z^)%=E+D6Ch)9HU;5Fx~xi
zz)dHgYQC7#lH_SI%ijln?j!%WsOMQ7hdzJ9{TY_$G7aVR7O$wz#2W}^SZ4bc2&NBO
z>`Pot`kJ?mq+ry}ee1)v?nAHVUM`pn@c+F%hpKs;#{M~4FyC=M+^?hk%GcQ6J{?gn
z{LW2#>WsfGpV#F*sK9z8b0Yfh9dc<aAuH^U6SH_HHl>}%7gG?R6>7hYM88jbAOG+_
zg1%AIu}4Jm-sy08{(Ux|cgS_wJWXE_e{W#i@WzLfWH%g~53*1Rdrx?e33l~1SzXNd
z&+Qk$?cYC?w0-19$dM)H>&@Ldt?A;nk25r1mht`4Ii1x#_p)^1)xTe*h4RR_D4Ah~
zrbWwx+Y0JI4&8%~&6*s3i^-Xt=CCYb8?n;)_X%9OO4@mbhx8E31F_nI1~1j#7q1vg
zWM+T!s0Cz=#Zdme8T`)Vw(|eD%d40NY6rL6Rz2r1_+0ky&8`{QNIf6Ua;@!ka<2KA
z(ca`-zJFKP5!}Ml(W7>kUr&!bm(}7M;>zLr_h(|n&!o2XI;yMf{=R8V{%m2wx1yu}
z{!|S=ReW^r4aIULyOUJQmnPLRR`ba{f4|Sb1LFHo3$1=T5n=K)NI>@J+~7+NDmU^2
z;xT5)u77WE)^XfmCXJi(j^g<zu2#wy^m7ilRGyU!W%U_oAgBHNQBke?aI^NZP~F>W
zc24gsC3VF3@9$3wxBdO`A-u=QiuAWa-lkW&#%oJDm$D>|7=Km$`x#pwp83&mK;po8
z`u*QS>b4dgbz)lJPIMLXY}6)Qj~$0xo(0||D`eYFCy?7i|AsR$$2P5}<?nNCXGau2
zv$YwOS40<55-Le0B_*L;_2tteMe0Q={l)l2WmbyuivykaMnZ>;gp=<P&n;@ydE@8a
zq;nc|`@U&k(#n*fJoHOVQLz>$S*&~nXpV>WK2c?FK(+>^o2s5(XM@hL^xbWCKGNrl
zXmu~@&59UiK9HIs4bEo?IZLdWA+c$RqEw@zt2-KYKD41?v6hZ|$@OeP%i8^!a9PD<
z%e0?c`tXbEtWF;`oH@5x#!8w~s;iAY3{+-g4T=7F%E-wx9oAM~bQ~>b^_Rgx3gsML
z;!D3X(0<qnh1ZIZ&30^%$5R*gKbx-blwGsUW4Uh?(P7t8aPiMIu|%|l3pVXl*2?G!
zJT<H&+ivdkTQsf6%W%UX7fqffwf>~FqKa2roP_FqSGnV;{HP)vN(JvpG+BH##!y8y
ztxH*&ZzZF~(JKNe!X8czAmg1mQv%pyZN6L_4L^`w*@T6)n0?<V8=77{<yzRkJ?xap
ze5d$~_gGWm*9sOJj%b6{tiNC9)$??pP-D#-W8SmrW$MQ*v<+v;XP9yy<-d!OS7kh1
zbJzyJ;nxP)!OHNIQ}2pog&JAm;RjodqSeJ=0(<D}JV*iz;h@d$G(1{TLg{3`y3n6I
zYLMkfzHIVOgK1ZskD%A`l`y^UU9(2K4}L0-G|&*sPC;-wKvietR?gCf#&^#A=9e54
z<n?RgxbtTca^9Dzk{D**Ser7jcyNQw9M4<K<r$i%7_EY-mqa`Ih#xB(TZ&fJH^wV`
z^uRls0fJyK>E6AwFk8&h4jfJB2$g=dP#3XE!@$7dFT=vZ0zLc$$n61ka3e4iT3P)j
zJVvo|=VnK!0p8nA6GlVhAGUzS2Oo1N)QEMJbXgIDO*wCa;S3eFgOyb_M&j+<84fDM
zTN_~#>iO2qhZ0u5lys~FCag)!IsL;j`iyLIjt_Yl5C84&IwMV||2*{GlZGp<{1YC_
z^({5F%QT1NlT9>D6OzpjmNX}+uday2gz<f0;pH_$-h_TTTp9G!PH}Jy=k$kbWg7Xb
zB@+B|Ez^SQeDu(e0dxWYBMdWC4j<NB^x0rPsEK*6plj;u>swh7{5rJ82$AvX0Tve$
zNBFUb+)TR+eF6_8?GR1rrZmBdXlZH5@Wu^jK^Kudnowjk-}Vum{Q)N{Oo6#B5Q+le
z{4wxb3y_ZyRNbOo?OTqFXVFR@rq3NJ!9kS0%{@rKtVVv1Fp!Twz5t#@yKLsDAG%a7
zQvXyQy<mO4^tihEMj}GE7p)}u8eSv6o^tnq5)a*sN>c6R_iN|Ge6iFPtIQ6xAIt-G
zK#VI+PoIQ%#3<7m^lFlE<bq<8pIJ6L9|9f$aw1G6P%Ce9?S|(CxJQ#e`k<i=^Yi1q
zQtXKI5px<|zaeIVfSW@w4n=G%KmbcfV3+(1j>Q3=qR9#lNSxqIj$clQkH3I6-j^@6
zMwz(nvX?I1p|AmiAG6TtC@Iq*1_56k1b~M6`rGZfs!<9_xL2@a9`D;Xw3o-JXk@D$
z%^7ujo`D(5<t;l8Re95ru+VJUd64&ayTgw8lKaw!CkOY4F8ZyNiY<B_KKiRK*d-3>
z&~l&nb6q<>$|rfTbL&T0Sak8s_ql+{0&?lN)$Y^Z^ndQtwwX15{2*3QPLAku{vNI-
zC#(j*0^kk(3bvNk``fpwJlP;g0ab)#JZOc`T49lrq@sn36uD)W+vCR=1#yvS_xRv*
zwZxV7G5akfXiP#|d{ZPmB4VxCFk(Y71~sgFX7S;BkLh>lB-_Afp>^#cxaK}$i*P-%
z#ed^}dOd^a>Mpf*u5KooUF*<HMLy;6?AeQBhmI*<_N!IVIZNinchrSa@YvANXBGOi
zVtewsF4$d2izzIVc2Z4{T>NyBqGS3WV#ik-l5qExG6)$z=N;N7aw*)DN?Wz|p6I=4
zklMGo3f7&G{0uc9q6?Tyn|Iw&I&Tbm2FbI)!2ZGy5Q>uo@m&3g$A7@*oU}B-%YZ0m
zR6eWuHqmuP;t%m5LDMgP44>`~>9;|GEtu;Vj&;S7?=Z>)VQ%rMaEQDFZq`o}2$v$n
z-qsDG^jr!z=MWWlYP!h>2&;OXHV7|?kT2Kt>0+<n+jI`Qt+mk32Gyln;tc4bV0fR|
zB}%hzU-K=yQ9jc6syFKI^0rFaTAy8-_7n*Hs`>VP#^U<%TwnT#JcaV38X1d}JM9^L
zm%-PriQdk?yrHjY+ut;3KFaWp+Z@tLqlIU6&QC7~*!@l`CtL;~2*rWY(!Yr>*J^^9
z#0wNNI~FK+NEFo7=RQ%(zq3_2O4D-tJqDAOr>%^p^s|ivkkf+vSAF83?f8bubftJq
zGk%wwy9hE9fN33gTR%H=MkqOAeZ|Es(S30*+9VorenT-&>;W}eO{efHU*DWI+td4r
zB+ct)x&-|>>(!>2)@OWtZBM#(b3ba0?v;3FH~KcQXMg|IZV$U<ZoGZ(nM=C_(hbM3
z93gI6fNwsO0HK@k$s~>u5fMu}f5`U2!vn8e&l7Za(sT}6uL=`hHheb~;7fsN92iRy
zQKhb;LfHCnRzfW}g-OoO&L7_F{1YW0{6K1O#-Kpb^p|P4C2H!x>8i<am*gMG-TLH0
zL})z}I7;(**<Jdp!JTClC%N9QjtR<JF4yI$S;Y4wTW}_&8O4%c<B&?&z5nN!#<Jhz
zt*=iueo9o(uQ|V~r>Z@m;EwI}7{3|POS@Vy5)}*vllI((@Pb`1Oug=vlEO_A*I+bv
zAhpx_GA3tW=MSh>=VgRP6ceK*LD8R$fNg%S*gWdoG|jiT1#qTIvdbgQ(O!j70InRQ
zd?4pj;Qo${Gg`XTS?3mpFxEQxZY0@Fee%)<`AxnTWaJIk>$mo&G!g;Z>^jq}Kkv46
zTvq(mT4ro_qt5=<ZEm4$<GjZC#To+c8<$Q-3+QgLIOuhmihs%}dPL90ONI5w!VbE6
za-E^A*tr`WQAY>t0*mv@;4y(v6DTt~?dE{rTJqNsS{stP;GE%-Xgh@Mm$TK|NBdHl
znlExzw&;-o=wRAu^P1dM(uTE!Fh0=e*Ze9om`*hsWt*GwQ+jqM$zB<UhVN%LO_%EP
znCpMtLw(LNagd{FaM^g;mvph8YSC=tkGuUU#DlRox7|f-%2n(R=_iRs_l?o50+piv
z{PqJ6*cR9;#7yH&iiIAE%2qA2{qiknFW-9jyS?nH?eLur5rZ-cl2f+xsdmS$U%|-O
zv~VHzdVYfuHhXgU?*k+NssKo$w!fL;*Ixl=p`*LE5}re#W;Cu+weLJKE{G8-t$`90
z`%k4dpP980QB_s7u&~gn$xwSGp~oJpr9B(G8W}53`{2^Hi*rWV<m!WCo`YF4)7eiM
zYrlWBm>!h8qq+0t#JgfI(rfgCMF|6wN{dY=a|<_bt1=l;@Niwta$C*xD%6z`PjKP2
zF7`P~TrPj6(yzJP^Sv7{os6SnUY4QaJIiDuyCfaykYOa^=CAPJ?T$+FxucQ?OP~20
zU;D{5d~N%+^j}SC90sAZ&+=R;fS&;-AsNRcQGtM@l(@JcASRXRUmv|y8wQUW@$Bab
zn=OtIl|tuDNwSwqo1h+-HO#{}A3_#mxhAk^b?q0flLW!@0Xmvn8SQPOX|b_4Ak-wZ
zcoBM;)HBP+rk63^j?_`%C=#DLvkFjk8pugVNEpr~We${S=9ZV7BNdHxc2M{2%;R9G
z-6^V}cczoeIEP{TCZ>ls?sV`^Iuv~2q@CHsMVBpD*=6fDNoBt0S)Sb&Ey~@!c3*>x
z7<4qGEfWtcoe__7u~$kz`N*rl|Gn?Pd-EN+NoIkG><M3wJgMjuymzIuBTeyFK!JnT
zZpncMv)KwKWSQ1{`CtC3y8gm{!{AvL%WbbM$*-B{1r<i{tJU=ddntFOx{15nx_-OE
z8maX{B)TciN8p#KwtB85t;Of#8<_5XIzV2%+)?sCG3ya`;k-T&U83jc;epN|v+q$B
zmXh-FehkRFjPWT3gn}C$i91PZj51*hcDuPALhw$6nlguEjf_~NAlT9xI3~vI=kg#&
zb#uc=A?A$cWw-(e-r0mvIAg|{Ercxc{{@nJ(8b+(0x7~5-6QCUy_4g;b~0Fk>54|<
z;0<!LFwnm+dHAyDl=BA#5U3~%W~!uB52}m@>wj2zBV#6hW>2`mi0l3WR*^eO$;lSE
zfkWPGEiySVr7gu*1fmwYxoX9nt0%4XE$(x*Hx<VYPDhZnJkS69b5m22C#_MijA6tJ
zbvg5^POIGPQzfHEDl>gCO^E*C9?qPz!4$D8dAlM+?W3B#8&czHf_KRe*EN->oR~Wr
zV_mQsz_GWbJ(aWd`j~8%n9MPfF6ti-FfG<}DAQHC=V8^}9K(~rRX4bgOn)T}+C*}t
zy7@GTGkwd?sR7zF|Ngm&%@qd{Q!e!7mM&|^#Mj>B3zpMq_hq<Vb^BsQr<VKq!Pc=-
z^`5<=T9#s86*T2E)Ts8;^H{lXaz-cSHHv{SjM0R^+@U+3#hQhw8$6@B-ez?W($$Rf
zOKhAZbl%c$Is-yk^)X%#DI27?%kWvpuYuIJyt1-o2faC_?7>zr>x3NB?j$rnp*R4W
z4#Cdq!Grhb55rA0AF>BR&w{v^IcM7TlXy(}X(Wyc1Iwpje<}T{c921|GJQ6TA|x$P
z^tSEs2Pc2-<5ey<RytLy{PTog@15ZC&yCAmoc<}bRxiUYRjI7XUo3GTJ+NyVFQ;d(
z(cOT8))O-?t1B~iXg$igqH9@vVPk*Br?ayiKU$08o9{YVymXOwep{!??QtnGx$gGz
z-20(zY&jRtUg&iY?-1$vdF#~?3gaGC>v8HIx5iK3X0au0-6ZC1;#94hH?ULQV9!MK
zE`OJu=8c9sYBV>~Ir7N74x1OYc+8e6JRLP6CDU0$uAG;;5i)~IK7{n_pxv}$We>DB
zMhjJW3ACeQV{0FP3!~O~y2U_WzppxC%<3AV&)fN;)8OZVc5XuvibM-KgtqciBSq!R
z17W+U=R-l;%r0~?lpkZIVtW`S!IV07t;WmlgtWRhkNaePHubTpG>tccV{FRhzCr<u
zC$*V2l1d&kDIH_Zzd}hfKIAd}LPMeKzHd>%k<-uCbT+E(awwBK&bB6%sMlNFPnFL7
z|FHGeK~;Wl-0lVmMY_8|y1P@5knWUjq`ON%N(JfeM!HM7TN<QWy5TIozxTXz{x~zt
zC_1w@JbOLQiu<~+k8_~1LiIFH?6drGB|E0X(SvaLDPvIqGM^UX>_~>s4hP7{=3%-_
z$#{hJ#`vz&m^}1Ecs2d5664|q=hM3moKK7E2bD+K*Wq9BT}C7SwfHYG8=m78L+zuO
zK>C(UF(@5JDrhe9QM&Sd%%FTRfAI&`5pMU|Q$n+)8WYzdgjNypE3W#iAU2DWpzg~h
zcC4C^uz)ohqcDy<^>-hkO2Paj(IB`-FtanpfCT{1x`Gi}=Us@QSW>Vw7ck85jr&Sv
zXtI{`;@-2tuF-)~v46SDLX+~80CkvU#fNyjROV^<Uo!)FkS{&!=l5fJu7WqmA}xJ1
zKHPAs>2T|eKknNC6@mhlxk$z3j_nQ-SfYo`s(qqDb(ww+Z5{n_ysmQV>x`JByJr0{
zDY#0E%WD@bJ)O**v9O@ssLS--Bb_lY73^uCAORw4Cu0ZcI94ADrnJh`y`gpF3#R6G
zmWoyB;$C0>wn9o70l{5h6I8+*)Gt^vV`bn^8ZVRPTVdTyH~2KK>=#(gK}-vm-1%82
zqz(^yp029B>l2aJS2dr7?V{up`)}TlulyF}$|HWYS5KQd%C|9S1*9AOQ9*ZY8#fP;
zo^g1)eQ<ElV^kHR0AJ3xIUp25{7g80l%rFcy+;j>4<H?8)oL0V++LuFG5jQMk~<_8
zxBStc+ukIg9X5mWGe*T^486VC2}IG_n5#tXTBDQcL}N+qOs31eumMjF<&>$`D(9l%
z`vS~J8oPhAMjS50zgu&6hX2Q;xR=LKwWfxO-@3Dz)HOU=u$>Zvd3Du_w{x~#e(*1p
zq!NYCAF=h6{Z(gqR&|dW$aG=Wbza9nf*-M$L>l{sIg^mDUnkF7O|_eyRt5=*?WzZJ
zm)PwuH`nVjapNL_DFuM-4&ETG4g&%}So<vW3zNj9NJ&bNZw$eSS_-u0u8*{z%}nY#
zsZa@xo%hwh5Z@n>Cr=Xp+{kTUAfxB&&zUV?)MACoOGnFKt9age5SQlQVj`oX(M1ug
zsGwX%E8px%TEQS|T?!8&DYCcGoa_(gr+~h9cA1OC(e%e*tc|xT8QgK471lbKi?AQ|
zo<7sRkcIl_wA~EL2DwR5QxOqlP+A(nr>^|w1uN*ZLL&BZL}(9sXx)|^`atpW#o`Ex
z!M$1+VBL3(PAKf_{nK?^HfRf#V!hVDvoiLpMqs=nGj`+PihZWYv#QwpdlB3dkC>_z
z)u2d+*H>1fINcQ5Yx0r$uoV7H_{?_abLw+0x(eVR{(F%NXHv+!2)YWZC@Uxm#0w<(
zFNEJP1!X$^-6crUK60MlfB$){6sDxrTC{GoJ`fpF@ctsrd9Lynaq4P$P|^HmG{1e&
zgE)ZacXG7DHs*V1h}y$dY&CrW14MU|fnQS}_TOqvA-%+sT)@|79$~S<ly2G!`Qa39
z1sY7y?+n~}qx!X@795~ozYi$L92>pC>QHZ4)Sg9T<@FAR^b;l=x>$Qjm>6;Q==*5j
zzn{{azV{Z;-L?&S<9_>FiCI?9P0(`wn!2^ca=gS4W=#ziuar9obsvvr3)%GeK>-+!
zaNKaz^vb5x)vaYJbcO5hr$e7}nV8E5*QccSlPW%%JZ~np^6QfcUe6u%&D9yF*+x5t
z#A`(BF179q_hyXQ@~61<3vI_N^jtrjSwU`|>RnD4?av!-GnOG2rn1Z3+g9n!uV0OG
zs*mX94_=qyr!<G6iPe8i7ly8wu+aBDmAoIjLO3Vv69nfXR}^4{1J=l9#-BAc{{VgQ
zOP>gENrV1E;6eiTSjvc5m1c|0JR8_R-9FmCb*yI=AdwTcZp&@|Fs$qMixdJ`lR|<h
z5>u>R_|+=fg}e*wcMtPU$x}3bg%M&%)=#8-MZ=o3p-}Jj<S2p-&;K#&or?EfvWz~_
zH&nI+DYRrVw%4d)MD2ecRDQH{joU*9wrc93<2nv8NP;cD22I{-hNfF1&+=Z5mEH*O
zZJc*HjJ=aUa+s1f>kNN;ON{VEmy!2pf|DUAw9Q^$ayRDT-H+LqOmQ`$wKMyiul@PK
zA0|MFwV`{!RRwXWrU5xf?UL_V#Vq*XPPQY*aMa5N?gf?*E}T-BQmV`2VIufTONqn^
zoh}~G+@m*Y+F9|Vu7aYZF7CEXg@JXo5_D99-XYLGuB5cSvGH;r08aoAr0X~iFnLg<
zmcE7$ujaNUBa;;$xNkjt&eo9c@LJ(}Yz$y(d2he~M**)Pf3ao6#G69kkR;pKbvg9c
zY-?h~#qi!XCShwGb<0wOU+cX-f}JbOvEsiyR4vTcLIU~&&|=u|9>}l!pOo2%G2Bli
zu8^<au6c#gTS~VhA0dM6QXs~>m#*oFD}(u>hoevH=$5UsOk;Nv|E=zU=4^~QK@6vZ
z9Z~y_rlbCMQS)BL*!@b!-cNBz!tFT|%}el@r%JNC^>5KqV5_k+C8x1Rym+D@HRN9Q
z&VlUh#+PmQtl&o3yQTOC6l|cNf3^PuENa09!bQ=KkHmv3arh#~U}oH)R?!3snN&uC
zns&fAKz=sWx>YmKRLW0LJTxFdJHX|JCkuiHm;5O+#VTp+UL^Q+VDRu9>(cj-&m%oQ
zV?H@<p9?V#Ewi3Te7@fDq9Iz9l6yiOtnS`SB5jg-1@;A^MqLkr`&<pRGo!D`RLtaV
ze5X)|DT2ga!N<rQ2Qz{5p}vWfn!f65cf{&H!(nW0!+7_lQ&JTgJC=woR)M&Tch*=x
z(Q~wg6Jpie_veO*qNS3T$ttGQ?fB0s3XVPXXgVZKi2wK#e;VoIRlzfb74bytln8L<
zpg27>`<#NxHmGTLK}}|Vk9cEma|a8Z;fr{@_GO&06da$thL9>t=)Zke(Wr+`LJAW!
zmp5lwb)dq8-w1!6M6yAq___+6x|aE|Cc>^b#4{{dKu#hZiCh6Dpnu+6-+)$&L_UK)
z5DtgeyC(700P*Ime2CmM5y_{a4`D50z{CG5+4J1NdwJi@ybn_<qv;Kb&PPotxG&Ba
zUul}(%6zZ0bQZS`_ON}$|7w(Hu<Jyj$CYl0Z(T}0RA}mJOz*?27;zp6w~rWW#y3$O
z?RQqaI<{O^v%>(zkwtZRr747e1U5~S?=R~5g%e*F-(uxeD=A2Bwvw5Yk=2H@HSvk@
zw#upDP4^wzh{C{Erg64(awM^uzw!*N-gHpM7#AVO?fl|}A%}{(-}dhWV_770$ns4)
zO!`=pb2IweM_KUuAwe<?`+u>V^(ppqOe)i($~Y5Zp=OFqU6=&NOnE#}N{U`x<dqEV
z3CVxwA0rndenVOj8ZbDd%A))G@M{5y#^m#CV9|gaH`|8~>cQfH)6H-b_QB-q=R@gt
zo69bFJzFCrIS?2a=*}*4l6_&CEPBr{RI#HyPZy>!>4fU|8SLM|NEWxT6HDGi83b_E
z(SD!Ve@2Y$%D1@Q$&Edl9{TU;AHz5i%o|O$+p6))k25>WhHUS%LJyG59?(V+-=gPt
zdL)UXYRM1qN@2X646aLA{Y&!+AqOs<ghh?nx~=KxM>pIhSEj+j#euE1%T%uv+qd>F
z-tcTZIIpsfUt_pmq`*IZ!f8+IXt~ua@Z#LeM*HSR;DL&|`!1wg`%V(c<pw5K2vG}H
zL?0Qp9s7+(O=4*bHI}-kDtsO`D%zKX*f$8wa4RXNpZX8hH?OlU3b7*?4A)4-BzkED
zn5U)E3m<$8e7rvFy9tx5cnw>*;A)eiPI2F@zdJs`SZzM|?{d7iw^}19bwXqKe)G>>
zf_h!4d?v(tOG|))0P%7r`OHvFqNHLbC~b4N{FfU)#<)tU7UJ(o-^&$K5n{AE-R!#W
zrQZjFghKE56@1GkxhkqfXmFea*|XVB<|f`2ze@2w<2u$Z$Xk+4;Op~lo4^|tSk<jo
zKD;J9CW}$L4tgWd6d<SG<qj*ja7XY^K29=|%NoF3?Wlk);u?uUCMY#GH=co?$b2u7
zUCsKB1<m76yI}KHckEvMpE~Gzm~hpzj-2b2^NyOsw;FUq#ii;g;3(jeh^~aaehNN$
z@HnF=!<kW2g2b)>&ysMmAB8?F_mts3qa2>7Hf)TW1WkXpQv4X>1M192+zBjVoz7-%
zgIx@%;MVZZH6rA%&Ker?O~3YAIVQJqf73)%`RLPX{<m6Na&06?1mge7y+`{5>>#S4
z_3VmJ(AhCydDzjij$tv}oiT3PSDamm8?<Iu_@efjqBn@?{Y#i;GhT^=hj`Wa-?9>m
zRkaM3$y5JCCONR%p$tZC%7eXszu5ts-YLp-wyxiKO6LK|;B!^35?~S-h<xId{G!n_
zQyE=?Vb1Hs)L!#IXYM1pd+*0(OK`2{C+F@oDv9gBcEG~BQ<!qN{LzLpYE({;<*KTe
zLNpl4pG318&0PF0n#Z5JY~LqPk(Q}Qq>#V!+G3Mby8kf3{#Ub?S7v*BW)6v3)6mKh
zU8%EaB-ZrH>AKrw1<tCcBbl!f)F5gB3R;&OzCf4)#RmKeJ-UoQU*p<Nw>=J!()`nK
zNAtet88}<+je!nk4b+>A-Gfdt-lspOMjEZfSC$=n+&N2+sdjy2epWP4Ie+s_Y&O~b
zh$ADvtK{qz2UgVcp{xYtUr5y4*CB+#{9kt0$D*%Y_y_}}<YC_oY-{plhalBnWa7Mi
zSRxG&gFpnOp8KqWwC-|}AE*#LHzJ(DiP^HMyGX{(7f}z>Bw~tph%I9yIRie&G{r5R
z>kF*htl>)HQdDx6O_9idDZW)lxKnvS4aP#KR!6k#>D3;rh8EQnLGqt312PMAYwtWq
z2Q0M8M_YSUvn$#G1l6D6Wz^N0+6OpVxbeCNb0&eIv9;7�M#UXDye#jIS6Wuxy-^
zLV~wUm-gI2T~-Le46EUHaag=A#Vq$@w9p@TO)JjQH~kVh*Ja#;o3P~8;xJ4C(Wz<n
z(s*MxEIU%cTnEXNsvRkAYnBKgwjfnle+_x5S6gov_HiBRlyMd>AC9n5a`kLzJ`O9z
z4CD=hMX&OLV=pJ(irZhk?rkql__n;KRw=^4rJ`AWEve<<L|?c1Eiu8wKPk_!-&Xa}
z*hoKoeGU0)wtPDE+*-iV&B{=dZy~Z0{`U*iyRgx^FS!s>_5<pS2R=o;*-}wxjuyJ>
zbn%dPp~8xopz{yYlX)MX5;J{I&v%{<vnW2R&8IgZ)V+#m`0{G$2$^genI%AqDQ>Q7
z_j`z~t)z6nk1qrwxx!G!Y;)pr^D>s2l?NY))6VwmD4vU_)cKHbv4tJ({)G@Pk_9KR
z-E;;_<V=+l_tUo*vRgq!n3Q@$-bKkZu#>aoAL(JSba}mJTJXFv-Z!FWYu=6hP3Ew%
z=-Wt4yO2^gk#dw%&Tjcs|J>@Cc7D0vI`r$YM(w^=*c40VUHZxbo0mPMN!iAjHvtLe
zhIQe0JddNd7Vo&Z`lFB_sM;#dHKZfLxfNrvNuInF3mu7V6w}Lwfc+s?@mUWsydy!m
zR1)Agb6<-Z_-AG>)0lW0HS@x6=)D`~K1}j@N_M^MxP73oT8=uk6-(TW4R&~C#<P6C
z9FN*wsFjlefe={3W{QdOS5QR0RY>OCKNU3R`jvYAm4S}txbp`NZmHo;mr1~dU`gnh
z1|D84KTI_2+ubYUXNUOK#ak<D>eSmhN(Qoq<EH!GH(TVz=N=bbX?Mj-cww_AB+t3p
zc!#V!U0RO<!HPItFvN}G`Y2%#GM{#621cQ3T+)qrFefZ+E>QUNAGF&NV;{?Z@~8-e
zT5Af~PU)2U@CEgoDd}&=BJk<(1xb?<a~t+HK(S9Z;g?nE)1cnd2j=~qt-!-Z;Ikr0
z=&afZREvWjwWlv1brE2~{&2F(?E|JrXt;LlCQSKYx3?x<9;(h>a)qBuHGb-)`nK|o
zZD?i9!1`M4sPOUyPG@I0?;ns9JdAGdU2;WR`dmr`D@t{^S#3gj2qg}y&I?uK!q*0}
zVbh2tevwm*?Sm%!00)o1TSBF{_}5hk>MT~+gB$%fw@`P#CM;EllN1(Pv;mbj!Ua6%
zqXw2P>!T~ALqml4>K${K2&AnA@GdUs!jiED^%bkcXn%I9iu}r_)Unm|XYgi>;y4uX
z@G)lFm*F40a_1zAol<*zIGZKjUj$0;xo?WKH6w&XQ>u#}@b3ubwYB-J3`B-wEd9Pg
z-xex03{&I|!bAR>^)t~&P@-7^^l)}SHX3e8llEn!sU|B9cH7`+Sc0O1Sjg}SNY7sx
zN>8~xNTUH1w*5@=*Ng!|w~s(r63<=O!G)Ck`34fhV|M6M;U}ROyA^mas&?yeG7)=}
z&&yC{U<|&z%BY@BXzX8yXUQJ>9UxyHnIk#Fn>N*|{)Jg+F0td@$~qg2b$mK1^_&lX
zRW?Y}Fj?0W2K9X#ilMXY;4s`b^AhYg5THDm5(RcV@UXPdJ}Mk^uDSX&$Fh`=r|IV5
zAzWO~?GYnEc$lAcEVqam4PE=h89qM#hf?rM8%pp~l4UH^tp2%pAEp)J8|)!g=&oEC
z%k?Oe&26c*lG5rT6w<cR2U2=-DcG-n>yD8k-;;tr2t6$QKDReFY|d-qL1o#28F4!N
zPG;a;>)u;Qrnd`kUTYD(F&02+pCY=vIwaDyUwMU};8h!ZD^#xL^B-1YH5$WG5vf}7
z#e0nB9~Qtx{>K71B{&YUL0Z3jeof)3y?-=#>6ErC%set}J&Z@-Q#)#PST(!xQ+dex
z?Y2DVgP|au_E|Ha*jF`4W}YYRd(6Z9rTrryJTBIae8645WEB)*-1Sbr5`WygT|yIi
zDPsQpfUt>7JhSYWZ1-?XO!eCVv1NvmJZXNv@lU$mMcyOU$Li}<-ID&N!;aPau&eVp
znr`T9FZgRJ9?}@apWyy;Y3g(YOM1bqAh7YVfI~o~4SXZRrZrIS>79;uHY`x_{@U_2
z^}m<*+IMzYKzQmTZ>P~|4YS?6`KJM+F^zK`j>!To6n9w*`_Ag^q453SD{7=BKgHoc
zTrOy2({PC$IprOY4@x2k?aJqj<IrvM{1A~g?#`DN6g&EDRs9d8joafY!AU2tDVa;3
z<9CIIq)*j3f~b5_h*4I^iDs)_P?p_w5mL`gqw&UxtqTg8m~DWQ;W%UeZXKe&%Cygj
z0C=U>S<zXsMK|zL@V&zsmA}_UXg^+_2r`J^{bltk5P?xwIbd=id*0n!YAxf(A$uVl
zb97MNV7Vx={5NvE_K3dqv$KtJ%aN%esY)&!Klq5Mvbk`1kDB|mD3TsyOrEr{DtIyQ
zyK$PS>Le^>(DSGsj6g#<^W(CcA(EK@ZooSb=p|)dfB5jhLEuk;0*P2ZkasOSItso4
zxMqE3CtEB#ab1ozM_oL|<$q|~f|2xL13ND~O^kqt#gh9yN~BNM3CZbr$dlVual_w|
z5{zHit;2JqmqhVNgYQ;}(fL18{*Zv}8A+=&=?kx=j?6Megmt9-v^0~*`iStc`Onum
zcA3U@oWu6xibL7pDVSfD&`DE#4`1GW@A+KzSGlz=BCoV!SeV+zfAC#p34h2MfJVxS
zi?snY0ZQ>2*IU$bYf9JZW0OAkJm&tM*gp^vW8?PPP^qY|@4@CiUEvxlHpw<EA{1P1
zvS|dc!s`A@oj$_9Da0_&Z6mP?D!~}I6GmB%WhlDQ&E2e_S%>|@8B6sW^w$}&-WiWO
z4gYe@kF^@vHgrraL;F2*h*6~y_cM3D{vL=Ioe+ZKgg{N+iMp>2E|sKS(rNmcMET%N
zz>_~qz!eC3j+n55b%KM?GtJOEVN9PCr2+vT^Eh{D3EwQj|E1G3G~9BRy#YD^>^%6a
zMlfL9o^~kTomkyjV(k)1EgbCeZ<&Zfz|;HK)}JqBXbN;MwcsQ8x=Z1{49B!S8_w-`
zy;4gWZXNkH$LD|kyJt=08l4D9Rx80&Vx1$?Zbkj|#0~Z~o_&?{RmT34XgJqsI4XNS
zxouAGS}1?g5X7X$_bZ1DV<ILWR}{r2xtPV(h@zQ%Tl$myu8ARKwbc9PW<Ff#22UuI
zzwRjCs_tV5r3Eg9ooq^d3ZL!FY&Xe_W!hnMs)lP-1K)K()mV=drJHY`_7153?C&!z
z0pLbz`CHVadF1XB+zyIuX`cDz@V(N~P>=l7J#{|?)aF1Y@*(BRm|h49bu_5HGtg9l
zGUtQ}Mm0mE@Q~hRZ<(qVjcU8<sx^kinnw!dgQB=lfw_*t<=}Bmm7v^kYKp2Q9JnJp
z+7~5Q%zbK6Jv6Svr?q{`qvB%NTVYk8F@1`L$Mdh3^v%H=2ve7TV@eQX5Z)}F9YN^g
z5c5H0r8Mn#VU`<;!5TfvXMu+K{8x|!wCNkEx<jkaL=|P*OId5~Z#y8);dxwY==)&=
zJ?G%{>xrNKSYFwgS0&ex+>c>Q>A$@^;Wb_;JbL+U(e%`g1-$Hk*k%)0C7x_FYE*Rh
zVDo3vz--Pao^hC+fL~S7t^Oxxd1WyH;kQM$LEka_HglwFgiZU%N0Tz0ydx;8I?qa6
zkxi7}LU-~pW{>WN%EcRU+n#zZqLNotvcjXdjfDmk>r4dImj2baJnOUF&rBusHn$A}
z+3=)QpI+g<FXZNwmY4*~qo>x;YlPziRO1G1$0twu^p)JWFPoxm>pGrD^lC8X4%kSF
z!iL}QCNlNoP&u0#`06wNItFEZq(Qx-7eglxt4X!6g?N5*s{dX-eQ4s*q9LaY+sBc#
zqbc4vX0y=#<?|&ub01UQtR?+&pQhGO`bCt&N3XK@S_Jn4FvbD(S<(K4kA+nW6uiKR
z3ak|%;0su51OR#o0RZ6hX^bCWv}!9W74wvrLF<7Z;FTU8Q<l8&0oDN279gG7;ra2J
zpBPX+fcIMgJP$a_2VI^(JS!MIV{U2+x-|Cz^Ji7d$H(Wn-W3A+LB0<NtV#hMXc2TR
z0ICXbN#L6vBL^d+zkobw0MaXvP0`m6s>489`yw2Ev1mn70m}y+ofW8`fl{QdxA%+v
z{1&9NFHoGcUT^1z#|WJD1Lcf>YmPX;)|)cusqcixQZgqu`1(0ni+uJzF+MCoZq2N=
zr3+v8()Kf8!K_&myi7vJZN^ALjF*_HI4bu6oIet6pTEO=SYY-d>lHAap{_b*SVx3F
zBp`#LsNT;gjUjk*(foovhO<6yht*#1h1djqmA}Kw^(eN1bD)k{5vaPKS4`|OdIm}Q
zCH-yo!zw{Wy>;HZ7x9l$%#VLc!FU}``!GR4LfAI$U?hM_%}2?)pyG31VZ(QQfLIn-
zH)>aS`IaQnN!4uf7qn84g2)H=><`(0dhnkpmDkTCV{A&P1g|xO;_^7>$~AU)R}S`g
zK;;`)uek7|fZ7`neg7jIO9~5bx=Ef`z)39l&-YSNpsEJA8PIR@qNoSd9(i0?7d*fm
zL7{$lVBiz384!w)$60{S2OMQSJ)ZcT?Ee5Ef8g_rQ04=Y5}?}$3{3rsr!^qrUUDJn
z;>$;W=>P%>xJGi7Ede2!DH>E<QUbbGf2OCu#EJkJ+RfeFLN~~d2PQxeh&jvxatZ<g
zS_{w-(9@@_tqsu1|B$7J7qhSR98;~f&rX^f@CMB*5c1b;t=gM+Q^LFOUmR$!X&9#4
zl~Pqd_ES>HDT_(1CP}>9sm+7yrS@9WS0DbA3;iB*O1K6{2ob!CEs|jobS5b>Y*qy~
z&SvJO)2Cartc`2LL9y=Jivw7^88W-Ey!%P+u-ofs#ILOmnGe=9kA%J{f72({bT*m1
z+CM!v+P;Ys&o#Ooaiv}M*^dM@l~nx;WhHGb+s+&n{mVM)Tc(sDsH=a)4^JNNx=YSm
ztSa*gBT~UvuiqphHMi%V+gwXnbRB_C%<iD<V%?IFWz08H9$Q*z-#eHA+XWCNfX-I6
zw+rVv15qw0H*5puBqcrFjs+Jemq3Ib)Eba<R-28y_?^Je#t$pf^8j-Z$oK)`7?8j-
z3ho|g5f6`BkiGZ-u-gVc)1C+{aA)3tYU&Zi1Gsg-E8c@TzP``p3_ysR+Lyo`b^}me
z;4aiBZEzqds;vAMf}{TjeC9yv`vka)KPcro^~XSv2NoW{QLAD+BM5TXf#Vbi(;?E}
zA3uD+1MXz)GJODVff$q<fq=AEbA_39VZ>9XNb=nNjq;ZoFBAIj??}7Evo}(*%eqdN
z3{EpfvPU~ydbQo;w)Q?2)|F?4Idwhx?H_F+m{uqvSLdIf^cyZPbv^M%SKrQ$i7tz_
z_56u=hTTfZ?4bz=F-D&A(0A=qI$jGov3tn5XjlA&P3U{gA@6@amCUAnkp%mWFotmC
zu2b^LSG=|SE`=h4gI>uuXGf&HYA>U9dd0H1p<C6rqR}c|%_qE?OYs=r1)cf7EiwP)
zZ;d#$MmYkm0JjK5rYx4n^zMW516`*5_fZ_4W7YBmMJ_W$a~M*fj}&-(Dhoz}V?nPy
zh!0B|*#<=+U=00J?FLB%UE=_Efm#DV+vn9aU`PW+|5p$I!~&ELf=W!>271<eVVVKr
zUJGQ9y|=f3Ap+0YF^D1fi>ayUam5WtEmBD47^pf0Mm6vIqk2H3gWMgXc>=#`5F88V
z4^TSZ*<qZ>o|o_{V4z$!$R1ihVx4|e)x3TG3zM#FoZuksg?l49AT;+FQ8w6(#oi9Q
zq_MvHz3`7e&ap~yz>S!&Hn5f$!XY+;mN54^7kow~+l^h<B2G<OI+^W=xAa+NB)=cA
zV1!1;>QzXB29G|H49wi)YUvwm_o(q&`9zUuAeb8P5zqbVqGMmRr?}nH%0Vw!@SEMW
zjxj$ub(hJzyPID!kfQqNB;cM<-C|WfV@;n&P1N@qF`|PoTmjj9*=9-sgD2^&2o3k%
zMZ&*g@AO9-A_Kjn9%E~jV^8tvZQ46Qg3E2V2#rqL)Bj(DmG}_Xa?J7kOkj9JT3#O3
zAGnqP>otAq4n&P0`vZ{1yBDQ^Ja3x!yab(mATDPMM4Bzuk8LEj&se>9v%%a2CLNGu
z{y6_#no_$AWN6g`tObHfM1%wZn5yS?k~uWA`?AjgXf=^qj_FTn{AZNP69WdeOR0g@
z)KCInWOaZY#W?3|DD>!6^q<vksbADcbnPLbP9kNH*fK(+$S3wOWD_fP9g~x2#*DyJ
zVexhpKYFPhxq%&SKf9*2w%@-?x*np|TApt|L?lPuT9@h{`jt=2aXqCv95qa3T_%if
z6S>N*`LWJaj6FHnOlT$T^|naLNJsgps{alCHXfXzr80yKw@qm6b@efzVWF>FDX8fJ
z%rvwg*caW)(&e`{Bqw)|pd-|+2`TL{(b4~IH+<arv~UPaxDZlW+M*ZGw8`@e>Lj=z
z4-ek={fz{cmX^RX$V@}?`Od=jD5|{;xM*K!7vK#08WEAqW*Xts^#C5`geL~hIy@o7
zF2WP&ZE-?~Fw4+>X5e`|URIL0@U#nRWHo7=HZ_e;bYn?mepH(+2+31mp9|T?W1igB
zjzMdZqjA#1U(kf<wdQ`_i*0ohIYY7wJ5HI@AcC@eAK6_-NXl4v5gWx(Y+E>ve{dvh
zK8Hi{=h|*^raKC3_)ukn4$2jTZZC;;+}L!_U6905sA$JL!i6+wVuyVCh>1Cct5<VV
z6XTK|sSTn@c38dYWyfywrr@INm0HEoL!jHPeg1aAyIPpz(_%)LN#TY%IHhg~{3x5W
zs)eB9<1d_%6~HeGm<U_gkH-UC9XPu{EH8lgcK|01&`0dZ5M>$KsPJ$oNXcdIy#gTq
zw6zz2jT}TKfbcu(idHUQ<ON_o@I5Trv>X??kjeQf){E!U?ZN8nq{M!ZLH+w$;APhn
zAoPoC*CW^V`In{n+s)zxFMk!}vxIs=;p?r7hx@g@v%(maDy*)Zps9Q4_dhXw+%$q`
zv?SNE5q)LRL#>m_OM>;iH#BaSbnRCYzn@PS7HSMW%-kg(wLhuYx!wl<#z`}$5frkC
z-st>NED$#{P}!nFNI~;<&x_T;JIW6ef+=-TPeS5m2S0}GOf8?+#4{|MZ2n*?&F}*;
zn#hgoI<~JLwVfs=1=(5WD*H4({-f)Vljrz|_*Kwx$v9x)%j)V}LD1$)99lK!6`0pY
z0s%AmA|g&1aRuu=;J^TG1CYJ&8B9%lX~zH^cXEnn3ZwW}xJVWWEjnQQj0U|KvKD>v
z(pu<zKdC&r=Y5!fPg9@agsoLIvv+tcVa(d?G>7N^)Jr}lnu^9@IZ86A@9cS#+RH5K
zMnSU1ONz?i`peFMwkCv+|5(-g_sE1Q)JBhHax5BD$MKW_`rLf8p3P~<?xbwgvk483
z*CX`vTRpkdn}bBytHb5E7}1e-w7z)g{-W@KYM(7)>dCjb>w*--RGaEV6~CBy#zsf&
zfLTZOr#5ko6TW>$)GBC-;r<EGcsdAZ@8%d<0TQCz35(Qpa!drNueenpssseaEXpn|
zzTKX888Zj9>FGz9*8|0`W0W@M4RIN+abLE)S?WV;4BiMmi+S}7GJQ#zf2|8TJGm}j
zKdK3hpl41IEX`Q94>+WIQ^-<H=hg`fD>>#0K{_IDPw28Z#r_H?ksOU#Gw3lXE&YLC
zQHD)cfl_Yc&u0%lRe_10-o(++U&j#M-T!otg5dKg7&d!Jw{xkw_{J8yps&bnK+bL0
zy9ujNg4ezaJw$GcPNd`Y3DLPp#oEp2q1t^it1%n|DD8PDat6A-|Bn~$ozViumJt0_
zlhBV=R#y7@>54Qh2j$I6x*y5oAR<FDmoJ@CHy5tJ2M@`dus{qYa0)PG!-H@<Ri|`-
zb0MisGQYFA*QgEN2k&CwzRh*<Rm;9SF>DKyuSt0!JoC!sWJEShbEQmW520hp`$_v4
z;rT}Tf`(~6KphWB{a)JKPct<ijA>_<Ox(;Slo^e>qcnhE`*rxd{-HUPId*qU{Hi+k
z6m^r~Kz7Vapr_nTI#7bL+3}HK%)LESCa-+7uds2ae+MerG2MJViE0#H`ohugDe8t+
z;AA*V?9ofm=lTq)RjRIK6%7sd{Li%MtDNTh1hZqL|38jce<K>$v1axG2&h`t#=5Zq
z1dGfq|DYiPr@t|P^xTdKxQ<~Uz@r0t2)GlxG#L`OSKN(3Z^hM8+eF6GMFA247td%3
zVBxOH_TUk5Nq?^1U{q?H+ymgh<*tk$zZ^_Fm|BDqq5X~R@#5N3oQ^(un+jQ*#6R8W
zUk-ex^*2|(<_zjE`ExhWdkHOl-pVUJdB!@+Oi2_fJ+0V!-dcS1DH8EJyXbPoM`QY7
zbc<xJ#%DEn8fS6uw6QK&h}iC{^{vH0a#^{Lb)R2B#QJ}TI>B{0^e@l5v&`48Tj=>G
zTt0+&ANqSiGV`;#j7=!~^k)21bCknwuLS09HR=-u>^0CAxXX75Gi2#apR#;M2}DQ0
zjvnQ!m)+nRywecdzRL_@ADyXh)%u5Zs0l%1>~26>vw{To($Z4k0RV0Fane8H;s7&p
z-b-L#s@piZM++p3S0G{(fUCejc<I^d^Xn0`uL#|&y}F(QBePe}ZTa$iOj!6|$1AWT
z12$Q(Hk!5I0DVdi`y~};=k{$xX`qP@D7b-I1EdKcAt7<%A_B8CT##syDp=i?v)TZD
z6?D(*gP9(Pnn9oa2+J_=z^=G&L|wTXX`_G}HYzHXeQ_i6x7Zj#W;867_&1Z--3KSM
z|4td165LPqSj$Z-3;sGWtNFakOYjRFHVywiu-T1!+WyDWAi=GX-_-G(V&UzYiK!4Q
zDfMXgg-f3^x3o<X(f%hwo!-hw@(Pj?6rMcfN=JF+3PZI`P`~QYL>Afl*cU1poPwp@
zSj#Z^xb_^|a9Z{01H`cQRL>FxLdGfC=|UAPb(0&!NAjHPum6#R?v3p9-3|R^I?mg#
z$J}M+lo@Hg3TPZ`>!anzl3_qyAT2Aa1N=ikvIQIygt)j3ATA1Q;|?w?e-emCgZwy<
zps+O<55(0#2@e=yy-LH*3}6NA4RFwSO$IgwFG;Z=*b8JPgNIxw3dz%?Eb|DM3c=FU
z@vAO)=|ZI(V2o7O)J#lIXF`1qpjUPfgCYEM8gs??_Xu<uwt)pNn5{R#`WWOI|ClT+
zEN^F*{2UV&%?=tqVBca3oDZ`DrrFhyE2UQ3Rz$?#XX^DP<2}Y}h-2f@Ml*^d2s!|H
zg^P0(S?Y!VFN=B7!y&yX{r_PxljNu&K*&lShofVj^PVe3zD)i8_SR*=x5q7o?k#Nv
z-N7PN=PNvi@8Vkq;se@!uV%16glHN4g;5TTicN&>!G_SpN|d4`yNokS%1eL)cidiS
zV(h^atbV+;wZG&nde`0_mdw&C?oK{5rdbd4H23(0=UB@H(@*eLH|pI)B#Qj3{`P8I
zZ~JsN?$qe>Q*71q<Ywr3$jDjnYw$jAnHHRCX>Y}-ed5{|*dY32KHQp<QTem^{^@4n
z@GrYSvl80$yVCqv^UpcmIonuLh@USl+|{1a-f^St+kKLh5XtB(c<d>;^R|u4$Pfk!
zf3Twi)`u3S@-K>WU1;tvr`BYfld|MnCD>y@<ruJ&+hD0gW0xPu>zQF-9aO?7Z`4JV
zPaD9=s(59$$EQd+Ll2+g4~O>N+36u6K%ZIc_#i!@5M%c;ThNO;(S>Se{w}*Bc)N>~
z6@$qE_uLg%EhhHgvN{q(cc$D)hESl^AVcGxRelFC!QL55Sg{BxJ`rUWW`|&Fnk))M
zF;q@E{ip$<$xRx13}%HIl@^KV-9xh@?=dnr__2P3{Z1p~^BN9WW~@)He|vdw`7ih<
zAETGlE?2Oh9?=)&1)gKilIppn@jd5dC+?8rm<_w763_-_7vV~Jedwpcm4dT)l%2p6
zeSmi&tJh^#y^iq*JIb#eE(of?xi;G8IJeVqw?<(z9OCvyLKveYC6UxHAt^-LDN+~-
ze}e+?lZ~42TySpDqjtKcU4pM3HYZso7nMY27;e_b3J41n$3Piu5T)qb-<&DS&K>AA
z9Spdt2I+negE4b-%o7CSzdu1T(X~__4nk=NK(Sz|$!p*%U7VWnr2xinDZ|LP=9FHA
z@E`tB7%-JWL8ZQK*3!9ErHXV{O42@WK0*9H!$}4;d%AQQ4Ly8O7Nn<P9jNJodEF$e
zh)29h00oJ*=V^U)7aoi*gs~S%{@pWP?+SPJi!lt&okHU@caO1&?+MxUy#yPMUm-|Q
zUR0n#MLGV?M!jxV`G)UYep0`@<unpoOpuuRA5o<80{e>Mp#ct0H0Ysr!8d>t+@_jP
z`}f8M=Z3IOdn4tOhTEq4Ov7iCjBfRVZwi}OsflP^`n?{=tC4Ici@BYcJnyIu!f9_#
zFJuW)K}&P=G%TC%z`zgx$j13zf7sFv1MNqHF3yUJk9du=H?)!a#}B{0W-xo(ZX~-Y
z8)N0Ehiv0}ZwIS?=^wdz)3NEFoEE=s$7lAl)W&d0Xg+@&hoMbH4*PN5x_w*s?!9>v
z>jfhQ{oii*s4pqS<Sre?c!4qg@)r|TfARHh6hB{?lcNnv^(gTBZb@AqX-Z6feNqv#
zj{My+H+(|W-Y~m*PTdA!iN_dK>#fYuS0yMO+ONPHMnXh`qY?Llr}`42T(Eqsc-8(|
z7xSwfNn(c^sn{1)I<+ECu~z4MRcIg%CuFfq>utnUF2bAxCK6lQGF7@B&VOZQ2Cv3g
z<i^|$_R+66|J}fVONZ|sA{Jl`TqJF9`dNz33;6EMF;K{r`L$d}lB1J}bRnpnx&aTC
zag*{@cUHK*HNN$If(y}DdLM`_RBmCKzABCcec4k?1A8OGA_zFGf}gQK7f_*ARa4Vj
z_WDGzW2Daw+1$l!COyomq$ZF+QMHPc|K)`5#*G76`@y#+7G#y1afjUQ$+|(wAO8lQ
zPJU}K#?Op{n|8sxW|s*&twGuIs;yJyzPUa06;xG&$M+-w=el0aG_?yIs7mbkEv<lm
zyZvF8Y-(wAx}7;|gb>`^HkYS#dy^##14`AqLj3)MZfMV*%l*Fd(&!vT8VCr9RQ!gT
zMf?im|2%ExRRf%hMSw<^d@wm66kU`M%`+A5^WET>_j@VZQclL5wVEuaW!N`rsBNfS
zI9&Y0j&&poetXnj_08ETCI^_WFy$Q&y#kB35Z$s@GMs!+0-+OmIwzVshWNHx{wez@
zor^vlAT=@Kk^ExfGptRj&saWJOw7*c5|@7>kT{k-h`aA&LRJnTX|Cz()lR<DJ|b{5
z+9kZ#^!%jic=F3e2!|m;F1sbN_jxe+$#RBa8!rmg${rY5{(D%q1%{LUnNP4U-~3_r
z@9Qw*$mgFO)qLZ6a5{poy+vl>DdVDIblZIE^fgAzzn^1V28^J)i|yuu8qlY)4BED2
zo#c7LLTe9o<7!Uq(}Z7z1)f;4Nhys@@ofCRMypcqBd3;U)>}>HykP|P*KUw6F-4WX
znIVCFRn^+`X@qQisCJ5CsTvG+*mXPcO3XKc?^Kc9_j7lWFvUYl^`;mDztDTVj^l%v
zZSR`HDMw43K!FqH|6KWLG6wbUS*E7^IMa9dGDY8OAM=f9v{3dp<P+kC?!`7$*0_-&
zj<W3jt92V#W*>s&cj;|x!bCPVQ0qv)#4Tg6q3`BbdxS03E1F~ZIJEwZ@uvvBdt2t?
zbAiP5DQM=rhmnC-i-d)<a6z09O>A7SoVey!!ep{FUye4z4{$5>A~)<vtU3t)Nfqw?
z5lca_Gs@HQ(a2JtXKj1twF-x0`iH+8RnO5jB7W$V%pNYtVufjdD0!Koriqdm;L4On
zP<!XziBMWpi7%G<=jq$Dh|x;XN+lzm%snE&o<PrK<ED_|I2r`S-e+A;dZrbW{t<0e
zb7l|t`Cja|3ikrL_1F%{`dnbc3IgPLY{ds&S}ENR;<u7?RPWWg>JXCSbU`f%14A1a
z5lB;KA;Cf2`{yn773H>hWHRpC_r{WyinjjJ%#&Wc(fsAti>*iOCnqt2<#tJ}$lk(!
zM{VcB{3vgij@Zw!2dN%?oeCoy$eEocQuwWqGUNi3quSGJK1ig}aVgHnnDEM#BPfTc
zmrVN6#_(yX?k4Ql*T!)4Sl)j$3m5c3@~;n;D8=*J2|mgQNom!c%jDE&H|zXcNa=X5
zW4u~o0Bck9YMl4K{4R(yS?c*?LH&cLk&o{!-q?bDAZdQj72dMFwrA>D-gpyCYcFO>
zC5VXn9}AHAd6Au*ZNCd9%i&VL_WQ4Nsth+M9xOj`IjRq$Hq3OKr7qp?XIll5{6wy*
z;M)A`#zv12;2^4eNh)6_rA>t>y84tSp&hZOirQnh6!o0y=Br9G7pS=ztA|D;Yc{^i
zV%*!}0o&O{8(r=^Zmred6E?>y=P{7t8b{yHh8Foo_ArIb#-w6^FX~h1;SJjjbX)ML
z$N@UENHcIO1JmHRnkLb99>H_GieuOL?75~!LSAW?xK>CQoEr(ZX+Kh0%BNUOPw&+Y
z^J}^{@-ZiKyRC<rhwZoJD@An{OxjkHx=Oh`S#TRW;dETeyEF(S@)BFyMm;_?se&6M
z$=QA?Go$(NFpNE81-}>j)nvj>s5LB?<H*B~BLhu-p7353-G<>!FjG`qUlQtL2V+=v
zf6PTP{yoEVZy~=+u6NiNBv8J)sWzWNv`t<+^l1uDHe31EH+XF^@`q<p=Lj4ida4V7
ze(_3Y%6@J-B&qOfY&f&gll@L^X+KLHHsq_7alpq@HH$lIoc#+r9qE8IOG$kGdQ+8y
zOGr=0TUm>ZdV;8|oFwq$C_3LMPu^3Uk$E%KN%K-YEw+(NPUX)5$1ilg)QfoE7;>X2
zr${4GrS~n!KNdVqR(kHFGBQVBs<e9LZjyZD_xk6226_IJny6Cd#@4z1D~*mPQN{Z~
z`nZDgYQIVFfV`Nt>Soj5SeWF<cOczY#bh-FzQFO29`XN<tT)!zjJBGsUM`ew8oCw>
zRO{dQsq<!sq<2>f7RPfMn;*lFj)k~ro4j)JBjgd7<BIs2M3;y5e%*(kel^9#*5C8c
zIZ`KL2}`dFO{7xlzvW{)tCYbg`{&4*fSN>yKu1n)?8kO>jjmKxwchVR&S%Pw$?Gh`
zHzv@=Y6ztu5y((LXz+Y@nvvGF!}<Ex(#dARzx}_LKbJO3Lfci*U-MVIa)w(Hcu7Co
z^`4oH5PXNln0<9nl=0)Rbj3xNb3b}>w>Kr4^JBZ0ce`b`y_IJ&MMvvbKC)~du?z@7
z7Hc+5l#{9^EShckmxsBei%Zjqc`lzM6_vl!g!BSFGzIgOS9M&ZN8cbRGd~~4bJr7l
z3M<e5?UNhJhdkrPFM8b0#&CqSU#qmveP9scJsiK*N6BNE!F;pDFS65t@#69JA9XuC
zBo2uzOgf5(-I}L$5M1QXtIJk8uxor+zr1f-@$fFAY!2Vwfh$y7nDEJu9!jOHG*gIA
zt`Im`?7tA*a=k9cIPifDE?zoEKbwIz&?2m__Z@ccLxVl-6O{G+^Vq0Fl0ZCX?>-hT
zFGYx|G!jRRgjG)JN`mWQ7_Ww-or5wKbE1Tu@JGOK__$(2_9OjCrQ2+@u_Z;Zd{i&B
z#h2FHaK*(y{cB{%0+5ma_akd4$KyzRc3JUI?ZAkmDWpb8^7@cLAH8)%%P>~OZ+)R{
zEM}s8ve^j-`aO8}aYLNe!oP4-O@*#v;!M~+wpFB@2(0#5Bw?$VVCI2kTbeQux;h`v
zH}|N!ka`^i9NLPr^~w|YsvKo{qPVGjuh#ASS|d$Ys(1hSUtF!^L=iunz7`(7hF{ID
zgw@k}rlXnev9IguO54x5THNr~>~KPI3%b{^0wO#A=Yerc$dqzs*gUo1n^Z%RBUHL4
z<Ki2PoQH1;Tfmh*9Vfv-Y3%*{Bd+iKdJB_;eUYyAxQk{kPUyYt*IrQxWUZS#fnw7n
z_*_GRn|$*_-rA}KZHI2t>#C*+`0Vh__bJ0ks!yRy_l*|1dr5okE%l!^TOR%przf-(
z)WQ8+YxEUhzWALVes@2e6^;n>xqKMg9WO)DSttV~TZhQIEh1f1Za#-vii`;4AizrG
zDjl$?NR8k+9JHKX>rHW=PxiAZ03mLl^;fRO)(8a!vgKt%BE#b7NuJBV&GxG+9<|S(
zyPvi$PmtuL)N=P8my1sQhD5epqgNX#TbdHTG&#r!XhgtM%_yBK$Zr-bB$nL;w_B1c
zw!U)a!~8F7D6K+A4rQxzU_uloqr!OrlUu{G(u0|(Ez(9S%4>J_pI*7%gyV5p7S57J
zAJ)qEZ;yu8Dtw*xP=0nc58D(ajxy16ZQ-eZD2p>DO0h7@zOKbDY&Gn!#XL_)_=xfy
zYx$5$XVE>XDhbPt?^d1ii_H1|?*VvzDUF*sN2l#5z{Eh+g*&x!>-=WGO-aIkYwMt~
zWcRl*C8xUy5m##PUG_40?ftaUMq|No&uA=q!RqDCXnc3-`Iw(?>yoaV1SV^`gm^bi
z5RLp7I%`))RCf?i&}N@B{SB!0v&A-aoLnFlPBd#!;JWi=yf16E>6n4)#>MEpNS}uS
zZz`Ajb%$mT*+^URG+K=AA^WK;v!LN%f5lR3h{Tls2ma3w4o<X36M=t(X@!UOTp3oc
zgdA|v+*>A)UXzpKqp7oUl<xg?t#zM5x@}qTJ?t}0d18zZWw0<Pa65~|PKAXW!2>fp
z2&enW(y|jAuxI=bS~(E3(;JfKtSF`jg+X)5jp-IYc{8aN6|wMJXF!pEnN)j2)mN)l
zW}Yz!PVVl@aS*oBAPLR3ObX`k*{OuNtb!?#XWFn=D{&f{3I}J?pP@wWeCNHE?7?dC
zx1NaJ&K6>;Kh`_b!CNEz@2zn<&7zuoytmb&>ah8xD&8asnsrtZ%NKkwz+~wA@t!Yo
zAkN@feOzU%T}9fSd>_L|>5o(ctLJEgm#V1HuXF*Eav4=GeGN^SAikepqPGvvoSY@x
zw|2io7~b3T@43QYRbX?@eQi`Rq``(XVcSr=SnS8uSbBR=8mtWO5(Nu<dG*{I7PLDP
zQ7t2m;&=?Dd)?D|*IesAvpH#)@Jg5pD~_N!YJA5P3nj+njq74MMc+d(BW@`9TJz!3
zo|AQYN1jd_U#*66*-+4y^G2w8_GY+*4V}%t^&t*xQJAJ^P{nbC^)dfifoRXewodJM
zXaQ5AOF}~R??rt_b4s;sd|c<%Jd82)PQ*4EZcXn&?=l8S+`=F|v`ET-iIwATcuu<~
z^97GjB0cI-n!7_9<QyJY9GVhf%bC^!aqPaP^Xx8!2bCWkN-RVz%FX)~L>S<6YAY!2
z;j<xU9xKGvoi11!vApenduPU|Ez@9`!Fl=hks=#{WdlBnS5s0LN=B*+dQ;Di0`{xn
z506_jA?jgy#raEAoIcTIQ@GSf$?P?KH%$qQUf9i4IIxYpE#ha_rS~<Qzqh$X-i&Sq
z_fH2p`rQxgafA*}EB!PZMVJVwJ9C7L6aTl;bFN`O>%2ZfNlzdcc8j;jIXGv*<~O(>
z#+?b#se?j|Yfg?{k*%XP-E6d)bM%j9$Q82ZT7dcZQ*2fxg3p|8lA6nYlun?=aYqU&
zL)bh&I+b_-s;Mc3H4BX4rjRAdc^@A0o$!{&_yqL&L*%#N`^2ll?6yDjF_c#&XX+?C
z?gdw?f|8w?*!-rpBU44k2Cj>x{&s-D&P}ZQ$t97XE)1U>E-&UNUVxHGKnt~U9y|#C
zTM1=~6Mf@qvudB|Bq-xND$*-<KW#s{#<cupW=*_bdI4F`n>`;XcC%7FYNFfyz47A~
zs%n9D3)7c2zCvTV(UK*cOn!lKzSV4}Pv(70U#MG2O5aK<O(9%v6mcxq!p^Oo)5vMN
z_7da#X2qW(Mpr9i&P#=xn7LrWs>Fy?z5>dIKpo7ncRv?-jXH9(1bZ`Rg%UIp;&r@R
z7PR*g^sJOr6yq?mQ6f2dtWr?GDGSr9gO|t>=Tv3h>x`>auA-Hq)9+0csn375pXw;8
zp?7)I_=~J`)>yodvAAyxP<i8=2WM9l9^}vKHaza>7^q}q)`<H2{<Z)_YC^fWI^VQF
zCbf(v;=F~)tr%w~pMh4I&k&i>)q-xhIGJnVx6m}|M~Upr;$qrW-;2J|E{ePv*!YCW
zZ^aMaZ|~a|F9&q!(|J;>tL4kV%?|Z)vy1fIPTpq6-~X9x3{W8QbNJT!>I`bv!qoZ;
z=8^u#yw#a@Gx8pNc_?nN$PB6cfRPl1EfP}GR||}F#o2>|umM7<rQC(dwpaP61<+wk
zLuND%R>C|f-%iG9?|uaSz@Gd0g^TdUbtW3+Xf)pqJ-mOP#jo}@?WoV!=HB|1h|Yi0
z?zpIxJ6N3{P{m=j7-rlTT#dqKVkDxV($eRby_2rPKyyeMZIR)%k9{`ZaB!lzC9aSv
zwhGkz-8P9n9C3~0z&-DH5r|oYY}9@0`Sr_gVoyUZX(x503!^O!ZLyb)`&m`B7Z<Va
z9(U|>jrj-Hi3zSYfty~cUuNfnt&TlR^Ny*q4SsLiJ|Vwc4|ratquBmDmYd2Nk6<ga
z=IvMGZ*;dJ#CaPBKcq-E+AE*V`BLEJElD}d)pBviv|LLce~7~v;NWS%peivBzlWke
z4?QbP(0izvQCvr`d-e!{5q0UQBrsumdGii3)YNm5Yws$<1%m|&3=3&jrCY8>qp+n)
z3v=?2D|1#1iTI*(wxII=p2Q;XMQb6QFgP^^)R46I9I=b{4BrTwpF~_N%H<6xN^0by
zCl>A{2#HZuXfPR(rfCcQnqqo!vYxEkbc+Sj6m&1WE4m@Y@{`XJr+xe|>8=wuswclK
zxXD0`F8xy?zmsxT+LSV%{FoR^zp9yU_|R@(&Zat7jjNNC=j)&0xO!?ymoX+j?N78y
zjxtJ;cHm1_qP`<*T-lC2O^<y3ZOT)WQ+V-})6fUEGhL;OrCAErHG!~~`8qSGPz#kn
z)RHDKssd^OYUdZFtgpJM{Tm;?q-!oqr~a<9>>Fdw-X?5<H}Q5G;b|H6vj}s&RvWeQ
zZU**)z6pbKD$|%1@a*Vp*JifL-}JuhMpx*-w|R0C>5KTRSkz>tRVR+NiEmklb0;1!
z?b2LXA?(Q)vpB|E!gzf2e(LiWU?To)qBf?E$<%mM;ubW^<8|0|(a<LGL&s71Hk_BL
zPpPAxWPYpFvw}iv?+{0M|0tUpol{`?e@}N&bj{GSHTNv9dsFB&sk}Vr`zjKJ?URa9
z+O1TAn%<g*wr<al(osjtaII2b?Ug(DP1d_xei(&aJ8Wzr-*#6oZ@=4inOcOt(5;%#
zfLf*Z_}swSG^vcw(u}sQR=VzcSnde+W0wYUfuUde9b-QVh#n8-7Yw+9<-{lPZ==3C
zj>j63;aeZ`>V+3_B;HOWy}w8n$UmuRDqFTb48WNvHLik1L+qqmrMoX$5v1hDDvwjK
zLto_l4q%gV?b^Y)7p~G1Xa@mK@rwcENsv?I>@oiW1wXk&7BV365*8Mw%-y4o9^d}o
zbP#*|H<krkr3Wj@fG9h8VdWOWQUAD$a&YBCHE`U7UDE9cp6BbSX-P#n<%BLN+BVCG
zM~O+QH+Z}U&p4$F(dTNdUJVVEH7x7L)9jv|C(tKXy(N84+)3Bpwon`CB;qZ#PoNAA
zSJwRKZ#1KfRoz2=+C{eK-*}h^%f2I~s-HJNZfQe}nd8HD9a^zR7BphrTDV{$ZV;QZ
z6gwPE4o$1+#S*v2o%eG5{yvKDOO~K0thi!>1Qx&GGybawAD!yPR{sO^g;TPJ28Rvj
zrhLD-`1p8W`lBN6)daq{cn$qV@7uE%Y6;|++o0dBc%7h4JlviuwYnkxx2`3UAa%&!
zM#<oLB4ly&=V8^uora=?;;32gs3$<VTcTNCOFA;s*?I`~Ll05+4#0Gtex&8Qf;e!a
zZOvawF$B!*700RS(34Y3-ueVHY3&>Qe3UR>{eOu13ZSZ*_y4Pi3P`7<bazR23rI^#
zcXt~g-O}CNCEYD8-QC@J|I7QG-~8{q^Uj^|aL=CIJ<mS->?bHp?6gIYGk2Mpmt#Z+
z_+u->$3Je9Zxkie!M8fHcaLNxPrp<?{#T8H{+<X;gPp8;fF|&GD?1V9aMSxXeShj0
zI<QxMgRJy}nV8i|`TS~U^wnlcmoIrOKl;f)qGsJc&y|4%`%Eu{n_fbXVyWQ4%|s3>
zT+~o}uCpN8(hr#c1O`x#53SJ0V}}tw%AiZqmo&7r081_{3RDA4Ti<06|CfA?+U4dS
z?~sO_5*g@6)>-K8#d|{bk{NjMO<kC|l{_swzuRbfkWYNwyH!II3E26jzDqOzrceY%
z^v_V25s4gEnbK4hVv$RDMg}=2<!0A@lJ`9(4iTZMn}oew{9G>uYVCyKlDrBJMy|$|
z@^SIIWi8bD5&T4(Y1Bxe-=*?@r-PqTp}ONHdl7`|9+b!mu9(m}M?CXU_ghO33M6G$
zs94cdUhlO<v|&1znixtj!N;F)*67z@6oDNk`0on1Nbg;`lYpn!0N4N_A))B@t7mZI
zqBRkR<qW{g@O<nK#!792p}LxodzwYAUT2C?Q8J`LJnFZO7gh@+{uLtz5u}d%=kw3&
zME?FzBAZ?ZhU7~}+67V1TWW%2oVErpKnI6<_Ew~cU!_|9^Q+m@*UK_(>-`NKo2`<?
zu0HRkD*%hIZOpuhuVvPm(*|8`rcsNqqGK&jbl6t;YOh(bR)ez0m1Jm<e@4%TJA!0+
zQB1s-#ye57ca=MQTTF2aJA~gAelrBq5F{_0haD-Y67c==^tnVy**$A_c#|7WoXPxX
zd?3(Vvx@NxYt-yr9CG6NWrU6e{+PvhZI-~R14GB<f|3-57cHlP&@~PG1^2S1vw>$B
zF`%Sc`~{VW=-3S7l^&3e3&x^%2cYHBhP}duuOl~Zyxzx>V8eq!MYGK*AS-ZKY(q_z
zBLal=j?Ml;u6C<_<1V}Pzi4yo>FXexWK`e2GmSYPVoBAVE;S%tSK-vjavSX;;bG?c
z^D!nV7=EBCMzn!^x?+J31WD6Fu$TOOmzT(gjLx3qd?XSIeVG~{trl(M)8?&sQ+o2J
zpCTr>egH#<d*$lV59u)PwqLb>P~QMcN=pUb<%fldeAB~L*RETRdhglQZx!qY@;E7?
zRIKSdwKJ5^Lg(P1w+4Uz>7A<`KlF{%yrQrjt`Bdd$BnsasBrPe%koO`o^7+J3=YFm
z-9Wib_DMmTaBy5U^S1w{s_6gv^oBBjMOCBTeiHy#>E3n##2&Zl=d1*+XGImjB>_jv
zd%#c>IH8ct)jMnhv@4*M0AZzNz4tHSUB3yQ$=t@nI`;G)4QV2sM7op@9e)nr2$MyC
z3>%OX<mLPDsC!9-d6r8KJ4ccRksAewOk#BLJ3y@R(;q%Dwa;2PX{U(W)Kb&0IQ?iP
z-VqgL_m^^}*_GC9R-B>;F3s&cXhuieaG7xnRJzyG36i-|FtQ^N@0F2`wbArkobi(y
zTa3<pJY;6B?sXmBJa+M+7}Ozb+N%NEm8HYj<Ynlc`Z>X3bQY^|$RBc!g=H7Cn*4gZ
zj<i_oJ2mTmxUxwPabf7J0amSf4$NE8w2pW|Z)}xf?5HIn*oW^hZ>*b6#nod0$bD12
z%9x!iF(SftQbi2_dDWg(rlRHfr9=U^mjQLrwiA&edc2-#)cqz6ZUuY$;f~Tv^_Z|5
z)AK6J^4dSU$A=2?_9ba7%{xiV*N)C45JQJ4DrD<ul__5R&S;s!GnigfvsYXT)A*O%
zmD;mL^>f}`s2+Kyvn5o#mha3wk!sdObulS!ikAwWP_HACwI!6qFLpWTR$%=vlOwRE
zx8r^e%5NMxG+12cAdmSO=Z4|VL#2OCNs8{CKFVzp@oGE%Da_SE>3VDM32^wREBIpQ
zg0M1K7wvC5?<+YDKVB&TmtcMpBjq$&P)=d~gluV&876#RRS5H)vc!}m0Vvbn0DU8{
zxN6YFKBENy@<Yb}sP)}Us_D|}G~EDo%W{p9G@mCfy$4T!k>(dG)0LOiTqj?7x#Pux
z)y6w4<^+gA1+O-5nraT(&$^;fW>qzmdFPDhyc3eyz3T4wFM#fI&ANf#tuc<B6#RS9
z#F;INMfPA!s#7fcBx<NgSub*uh)lBdc90EMleiS9Xewl!R`o7y#%h5*R^y=YC@yJ8
z1>(NB!sknA!UbBl@(vkJVkSMwo*Ux#>qRA)D(pF;bR9Sb|LUyGVBU)VeKlr3K(GGz
znmH(mru<6RdBM6)*I|eqpj3dQnEQT7ou{8{0t-1Q={lfN0I9XX;bCz24FiDR>;r?|
zZ$`b#;rYG^JY=y4k*d{M0828+Atf=3iWE)}qMSw1{*@ddF7_Dx*Z8)Z98~G8qG{|C
zx5RiORP^Pb=A*}*1OeZ$a`>TIHtgzuUZ@p<@>Nk-5&S8i5)5}%FK_gM6@>I_&IU)m
z9H<Pet7LL>(=l^#la6Cd%gJ|(AfhhnyE_N(e&1{USs+a97DmN!@2?)Nuz)Enc^&5Z
z;N45$VhMnOz#<n2@~IR}^0VsyJ#Tsh$iMTDv{nEa<Nm;B`c{7B#lxJvpxMTi$VRN>
zrqLxX7$63Qaf~>WghE4#CaU~9vbtGsg^&u1UOKIZP6VX5A^921F>-}ONc23d_MWzi
zUS2UVCPQd&!Czw3Tju`W2?^DN%s@#>9vcSelMA`7za$3<Np4iPB+Dfz8twd3>RQBP
z7?LW==*U@37M?tE^pb6w66y-@=s86A?Jhvjyj<nwB|=`B9$UJCxfONC{*dCgK}8{+
zE%ib66VqdxpWt$6&XYKu7OCb48v$=-prM@-Prkbkz~n!RmG|}a0c5SXsOSxH%j4Dj
zv#~A!2L3yA-gj&O!iV)REWW=!w|M}|?i%132DF3{hqg{mPJsFuK+{kHJZ{zb52Wqb
z{3Z>vaxx_|@^0Wf0C@h8L!-5H3juAYMqA1TSo{`h!_BjV*KI)6nbF6sYCxlL+@mvQ
zObqODA}oGQJ_IieAy3UKqSj~dO0U)U<HQLM<z#G)FXg!q9<W>Mrb#&qo$Fi_>wfyV
zJoKd5RJ4$@FaIMpps%TMpx>KHmREIRL&)8cv)Rhr(av*8U(rwDz>)<iyIO+kK8J$6
zNgLi;un5$-8w(7{G3m)Y<Q`v$yzbVPA5&r$zRJuD)TibQzVfu@YEOwtmdQpkBHsNQ
zG0gpSqp26b;{-+R?ChSEfzGpl81fE)b?q(n^z`U}nJ*JdN1O?wJdjv+`5bGD1b>qY
zOy4d5lR+jbdt!HOZ4DS!PXYdl-Fgqe!6Onbbf}BlwkQS~jw*z<n!F74g=G#vdOoVz
zC0zEgY~4*lzE47(qR;L1{chE|BI7AK&_SCvZ+FlOPS}1Y1@o!=ku%sy;We~ur6rZE
zFbvDe@*#<8Ry`K@-E)+Gp(Dn`fc)_)xLvi`XvdO-yY$f6Wv?^Mi0=?SiTt@X|G-Ks
zz$kgz@TgfT3tg_Fp6<fD=zrw&3n!I*Cnis7^)kgR#!}r$@3q32djn$z?)R{#?{xlq
zNxYoo#d$jyx&;Rk1FpZ6zf9b(Wy%;fbjfLcjBt<>1u!fw`whwSEa3d&&<WP+qlSG3
z`4{1*=P55?JxPK5U|GvuA(@n#j@zb<_c>mPszr?kK;IsM=yz)a_*p){cfFkHFH%FF
zp>y7$|4V;V1#z_93Me`RlH5yy)Sy~41@&CPE5nPwlzq={@$c}kx-ninhhW-g>(3Lb
z#la+&M~oc0{<!}%{n94K#mE{=5X~^RVfzPZDQ?Z6r7dcgurHrl3a`1}b9sRCGP!Id
z(oE8ZY8P}LPF+4_3B%z>Ln)!mw6po4Sxzyyx&jCEpw^5HSW(ejq2KlKfA90nvAKc+
z;res@r7^9vB}6f>(B3CNIV(X@H&<?3v?NAJn8#m+cFu+TKHaK*QI_)84Nx)`6$P$r
z?>Vit?hRi(rGK+A?2jU6hy#=}9hXI?IFlTdpY68Kio9T}#mIR4{I(s|&U5of?0i0G
z2-MPh;j`G~JPeF1(-%W`Ih*C{GUmgdT!H0#O-*t@wYitOXR96`gA6!<d;#aXBP`;W
z;bddPU?XtXxz$;8D2J!;$XjC@<Duwiw;Yk^WE4bEhREH-K<gGkRv56eULJW~EJ{`;
z;50x2`$b`SXx4?iqE5oHgdQBGykbElo<JcXIl_(Lv9QT$^_s@R#VRq=Xy!DTm4{7J
zBx!LF#=boEfhL{YG@qw`E2ESe2TJn+roh|*ar#!dKpBv*w3}Q{f&I2Zo37(geXP!H
z2s})QCmwDGVe&FD94M4mmq{uuT%dBwQ`*ZgBn;xJ<b^UiNDYJVKwC6Am~tUqw^!8B
z^(5}#Co_g+?e0&WLAGz{$w*SD@Azc{rug<vA)@r~P}Tk!O>i^auZ_a=Liz&0^FkR6
z%vIWH4w(8VQCLS)PlD+!etMpNJ8%n0u>!VhfZ75N3?V_N<Kc-5#=z>&2i|7}H5!3H
z#;>YB1Eer$3gC4I>^(}u*C~DZCTY9`U#;AFX5Iu-akOQofY7#$9g~051q%PFmiKKI
zmpa=K<N@_-3YaGQI%x&e4~FMF3-clFWpa~jEwW!nGSKBmTV@^ajzt|+EcLP*W|{7K
zieBKVj5lQ~V%B45%U3F1mccu~>_EUh(J4ORuo(6MI!NG7L0)RdnNtd^{K`JCIzWw-
z&It-MYY3G9>7@22AZ{;V@;b%BRTp=5WZT<b1M&WZy1`l4Klc>`Vw=IEZo6U&7T<%<
z+xe$W0r?CA^9}KhhXW%ev7w^M)(kY9*n^XAJ{hI;SQPFT`ZQB5rzW4vDs)g={CshX
zXpQ8^`A-X7&6KGtqBHX%s@4*osEAkOo3l~XEZ7-+2-0_VzvH`JIA8gR?CdO#&4_Vw
z`PY~g^?hj1uk~%d3-@NKpeQnRIvwu=VD)rxyPamU#4uR7XkAuZY$+MUWB-3xfN)Em
zcoV0AJ@amlLT#!qp?rotB5O}d{G?<qp@X~d7j*}>kib6cI-ZoE>4xt;AGbj^v1$vl
z!EH|USjLbvnH1qzqhT)oHmqo)+4Bzl3O1+}g0!o5M*Pqg!V}Db{Yhi(;b_4adZe_y
z?97w;XJ7|urMKu@>iWrwnr|AV4BNopS2Zk@Y8svebyw`Rr>ki~wR35&oYncKEZX~i
zcLlleImTeR;4$uiKKh>g{LibHhg0w#*iQ<igO#1Dw)MXesZ8Zl8Bd}%jAq45Mflt=
z^6xniQV?K0`Q+7s>m&3N8*XUXKs)d-SafVRWgDo(KWGTkp7pyhQRurFO?oPHA+aC4
z^Ml%2yUXlh6=jR4$L_bZ3L~t*Sn>_uirx6sTdjhxp7Yi@;E8@4UeBHh1~<bN@Y1CQ
zxTh?c6&JkS6O}WhVl*8$jrOI-jP$3^b%S$bPMp&`-+gV-(7soLE)~7@?@CSG>)nn;
z&rnChO*rnbo7zq2!R_zQnjPIR4lDa+Y`ABSHGh?sENW&b4@fe(?Zq1nz1o<JYxZ^S
zszGrV0{J8Pg}}H>bG9a4rerYuP)c;S{{AQ5^vGv_>A1V-ChN%~NO;#D)50*XnH&WD
z_dYI6?GW43HuM{J@vO)IIxK|krv7ra#>J!h$-_W1{k{ldfMYga;x`*7``Hc{OpE-t
z&Q$)LdK^i>o&$E3q+z#H%|~j$ntor^dd%m<Wc*g^?ezHzv}gTd9E=h-gdtF^dH?Qp
zv(EBtU~-wXj7*>;Mt8v5;`$k3tl;iVd(dsn!QJ|G^MO=!be~FkIHu`Wog0B;MrUWI
zSLpjDrhr%u?{xR<d#X4M+5tt;m~o*4cy%&6S*e32U(YnuJIAT@`nTHfc7X%YeUaFI
zCL)$r13TxK`Z?4T6f(w4g@s>Qc1*u0EG+E1M$!0&Fe0WL0{c5T`ID%1T_d1a^k+Og
z%n=PpN$Fgnd`F1wAXo|P)6eS6n`gxYNn>z;6cGcwv<yoM%8j)L6g{cu;I>xcmRa0N
zVCqgZw4!g;G9ouUYjpMZ6Aq~PC4RKWLUmCXIDX_Gqa-1r_*}PK=N1LA)oU9nbf>1K
ze*F_nv1h`{c(xQGGVnA_3ji$D@>h@DIb`u%_TBBW`TL)5bAD?JivErj48-n;KmkKq
zULfjZZfOJc=$m|xt6{d?aa8D#q+!R%UP&eM-o*J@pmA`CKfEkVGsG@3R84x|1|i|K
z(pa414yPfH(tN&5#%Q~8bFYhhNW<gzPe12Kr67MG&#OVu8sPZ>s|3I{*#j=DQ=yr0
zWV`prt(2KEjLp?b=)OqUsJNeOQ8dS#QKWK_)y}6|(;pG1Uf|CBToeemP7xw`y#lK0
z)9jVkhUBnKL8p4FDta{2kSsS%l`gyB$b0V&tGHL<TB}#b3^C$|sttCZ5~^m|xLq&_
z;^j+wuCEWd3`dB^1iK^)&D?{ye<%{A2Ml89U_cmzZ(c9=0Tp#+nn~bmx$L%0FjDBm
zk#u-Dtqa^9SaIF~-tp1Fs|*9gy$m+RtlSo}!+0r#-zum5J}a$W84BQ>{9gWyM`uOt
zA#$LQo0=62Wt%%0(oP%;$=4a9$Q(TyY*bLijjE~rw!V(33ZgzoOI(K}i9N@zs!`@a
zT$1Xs6B(_PTu_pTUL4rHT<l`-$0`zKe^1MDe*=M@ylROAbav2JP_RwZt}&kk*27s@
zSu)bn_(=ZZS->Ap0=VCC^9b#HwmjN=7|IC}&I`*N9oFs5NgZl8;T7aTx_|ejE?D>W
z!~LzUH`Wq>0_<p2G1M;}75CFz-0oW%J|C*iktCp76<JonQqU8las@t4j1Vg0*r4Ir
z7?8<yJsw9MWu9HKohYG|v(Q3by@2&p0v?aRoI<14aux`Bz#|}th=}xtymtT=DF(L<
z!DBb=j@?vudLG}H6uyouZ3_6t01L}4+ZZt8O}CA?BW05FJxF8;g-#W$Vo$gp>bpVU
z3qSO~IVURL#;(1c1OaBwSL5FT)9RDeo0b{R4GI4R(}jGg%~Uk)g%Q&Ni~g#8i|pE4
z<9)2j)_1K-mLV&jzG{tmvzfVTKH{n1)MLH_3@wGR>EBGPIc6{0y5GV!VFQ;8K(LoI
zF?pf=^8PC-k=vV1_Qm*gg}*YbdF_17L=H05uCUM%&b`Iny&fAj+{Ip;A^gE5*9gV+
zc``kcOd5pd7Ey(bqO=K8PM4Aj(37@8(S|PIEGRQbt8uV!+Luf`C$H<m@b7lE+;=$Y
zKvHCr$1kQ9|E!&hkm5zqYr<@u4u2lmtD)ebJ5S695dfGP@S4|noFK1@6(d7akkfDd
z*VKl*8cO359^rsKC&niwZ8EIX?GDPzC>Y>>-sIv{p*H6hgjU?q3nE#@WeXD5!>8WX
z-qdN2rr#)6lP7{?Js-;s8mCPU+G4k<2bHyiUK9BJ8ci%QtfA!|G|xM(9lMOHduRZ8
zi}Yzq@3al?pN>5yPD?~qQ8|1^E8{tGoe?fq<NF{hBFQD1Lv;3@D(6l_IFo3w%0@lV
z=}d>{MEJzHyUU1e=vDQ59@Tqg_r#bL9}y0<h6J2fAMA2+RorCHVXoBeZRDe|^IWIv
zRI>9OSgAbB!AvQMvS8)BglvNIf>%+gea>Ej$MoBvv{5Dz=s=RWW7}ZN>v5nuaKc=d
z+3}ZhQKr`(L%TzNUFoS0$@8F!Q}<(@(f%#Z^7u$&|0V@V5M18I%m?m|p4<V)Jm7ig
zN&1h<>Y5zbTwKmYRHn{sYFpwo?d|UZk`k30>d7h9Ebj%Q7KcX8%B4D@esu9PZpJHH
zM-P~Mamb)i3!st>WJo~MRwNBXQvZiw-Asj!+FzZ2(n*PaOp>`55uhvnH=+E|LE&un
zHvW}?u_ehQ{<#}-TC3@MJ5DJMG-eDW$Zz2n$m!oS#ICglL55rGOhZH29J@vmcw6Lo
z`&dR(vczZU>^;b8Imm<9u%fIihlSTI?n<<&quRYqpIOt0%O0z&C}o5)&93?LEwJe|
zjXZYt+N*IdJKyh56S>G(XDvHxqA%su)Jgy*<%$B6jS`{R8oF3sDq4C$!xSu~CtRM1
zEl<<B0aShgik(>w1Jlz?i_7aavGEZ^^XL9{E+I>gvVZFTNKv|%oPv7rYk!`de^t^9
zd$3B;rlza)5L*TC1Ss!*hK-}c_^0s75cv=}Zfhcsj<NoujHyJpS?13y^DbrVeq&g!
znK#kwAX!#o#jJVT<+0mVkX|;9BV&3`egQ@TcYvO&e)}Kei%t##jhF;(mR7p^xSzBG
zLt+E>0;U|Yfz)FN;}E6GrM)(f*M0?Bmr7G!e@ZNenD#5w*0-z>`{_a@HQ0AkyE4}o
z;ln7^wkcSwnwa_dT5MW>qiP7{HczvuFZaB$A>9?ZyK@snhK%BaQmS*gC0~CKR*BVK
z^f5L4_vL$Jd$uKytv2eXlcb9@n;A}@yr;$fbKllUkoJw`{G3k*+eyeWP*+iqil>v&
zwREletA%3;WvQ?%$|xK2R5zSG#m!Pdd+gOkRm#-=E_3urbLxK9haOu5d4GaNOex-Q
zH*X|NQ7tk9`_iY-dCk2YD(OrmGohJ5$gVzH4}sKxiC)d;z2k@=|6mM5@Rvk)e=(VN
zuy?t$wpBiP!oNr}CQ|}>#8#<`cLAcw3i=4m=Y}MA1P}|&>w*G4(OfUwJd7YjH8C(A
zGgB8<*R_vVPmca9UQ#V05Bgo$tA534UP+jDh6wO00r{WCn&FNesWBXk2Ib#;3r2hH
zlFyR|N#6w!3ojjFT1QqLHzz%x(q<>urJ}qT%!?vEl&c+`3q%uvEoDq`7;c{CD(haX
z!S?G4mx=i!$zgSEG?$)S8#MG>d(Z<5JlUtmra}_^E{Y3UG<Q+<ONtygsrjDTRxggJ
zO!ay)Bi(uBi^ry1obxUPuco4J-xL)aiDDQB{FUs(kLMT9Yv*-?<O2XkIzgA%YxKo*
z-!1qS&I8^Kb{g}`WUi~VMaS;^sY?*~Q6eg%{y35RyR=voGfS=`+f1$551YoJ)iUQa
z(Zf~IIOg$i#$$*r+1gApl3+%SWRMDJ2q9r0RiQ#v=n@@pQ`)^WCz^Ix3##+9kxY~0
zOC{Bo?yP;rB>%ZbNUHL-_cl{`D){je54kj+#c`?af|<S^1)^p9-)M0dLwv61otxSU
z9#m5Z35InV)2tKc#Am@&xiK8YWv8)f<o8u$PR+Gxpwg}!PA#rNN8ODo=tanuCnpJN
zTq59VEG!HPaO6%IGc6VnVu`jt0=QCrvR~1S!n^7}Vn4x9+p~yi3l)!vKGOS77th!I
z-IwAp89K8H1{K!zJA)=ZkTbn8MOF*XV={<<+5M@9yk>#YxR2{y8()bK5HOB5b1~*P
z$Og~)nj7Gg(`Cz#;2s~3iKnGIJ7^|fQhLF|i5GH7J6aQ{%i?$c&Ai!{8ihR)!*sp9
zbKg6e!_E-N_e>eDa({{u_UE+W2VlO%ma>PmyYnZTHBv>8ySya<c^gUwXu}&+irO8{
z2fc36(;qpWY?&WMSzRh!51xhGQj7s)`cSP+qA+EB{UiC3jNLSvQgmbDL4B8Yb{L7a
zJqr5pzsT%B(!9#Uec`*QmVg#TvlnHdd82wuNGEAmbP6X$DZqg~IK=nUuWkzngEfEL
z&Z}>#ZnpeG2u+-y7RxL+EVNKkD0`#C2|k7dP#}^j9|M3_fug<#;vRo3pL-ZvyfqG#
z=WsL!L!iuA=%WhN`}=4!rrieEdaZW|`bu^A)HRG9;-7EGgSbarmn`_*jPhg(F@{2D
zix~dW4k{)RL$uPLha9<QhH_*Sy)JTY`6ITt=t~3SWzppaz5r>Dhp%^!$!&Txk<G5*
z<NVJ#$xsMt-Nh%|9ZJC>>ju*%pUiaJS&uV<3EhB@=Io)C(Vpde(+^%dDDW1atMdd@
zc-oh+d#DUh{VvYjnd-XkubgxM<Wr6C9R!=~UB(+z&dfHQKS|bU{mZ)TJ`3#*!IH5F
zWULN|^+qI_w&=11{ZDs1((+^^4R-L&clA+WvqKZ6Ux-@PnXKlv84ot^O+|GDUg+4$
zEn9C8`ABFYf3|}a`=x07I*BLHI!#K$XygGjIuR9i@-ptp`@SL#gkv)o4Lm}Yy-tdE
z$%l@!J~IS2aUTpiX1rO!;E%80zt%i|lM9~{VzPT9(xuIBz-IUFaU^tvMPa#)`W^~q
zPF&>49@X9@$$QTy?$Qc1TKQ45PfQT4i07WHBJ4jXyZ)Hg(rL+o{@=#zondX1_+mDh
zarknNfQE>X$_wr$=a-@H1w{|;r*DSjC#Lb5{CAyx<Kt-+-sX5NWr}mc2GN=>GPGD@
zKdz%+bvv-}_RWKbfNV2SXpL_N>G4q-V&c;j_SJA%ywfnySH7<Pvy_=0Wq93EJR}xV
z|HM<z=CB2jdUMQ!qs0HV*|{&-xMZ5}*^#md<)a&B1Gt!dS)PR9I2C7+m1~j~Hp%v+
z=0n#?tuBg}@Is~AUwUktP71w(X@i9Wh+Y$>_f2d)zE$KS=kJjtI<G^aEoKLgloq;b
z)1ze)UR`#Tv$x5VGrjT?540FL%AW@$mZiA(v5xx(*4K~q1e#atT|m=ES<DqCc-$n9
zHvn)<Oo-j(p_!=czExVLpv-}Ff}y?|TI?(r(f9G&YfoWv+JXm@$`q1<U;j`s#?vzM
z6uVq~&i4?T`$mHsU|nkB%YDE8K>xW<0ActDj$0d|q&jESe75WOL~@o=J4f&b`5##Q
zrjH=KHXg$!&4;({?Of19goCK3e|*#{F}H~Fw@0A?0hUPKi|YqF+cQ5vv3X9!Rq}#B
zjqc8Rn$q9Fnf-lm=>!hLP%?Yr^~Q(k91Ch82>_UqYqw`Dnc{0{)yQ$Ghp|B^!eW09
zmp~AK25~fcZb-<3;?qs*PV})<6kZJ;BHJOF^R;C|Q~Oqhz;P~7?fr2$I&)+6G89+y
zDI5}~Q=i~Hi}$g!gXQVW<X{%|J1H3BA10%?Wdx1358sNywvHG|7|MApLK@1gnfbtZ
z{+L-4q7Dz#>|cY--KSYsTcfr<1+U!d$7&zQ$7K*OcW}M=22A)q!8)zK=94GHL5=K|
zPP!V);^cg{o%V=RJ~-!(LCbMEhA@MNe3Q^VEO4u1mYU`*{|wSi=M(d%2-){BGBFvm
z>$yyGYdGnf9ar+!kIHNa-xsLrRDAi30b#!Hh2sm8;M*8vj{K#-0CrsRFJF30_(kgx
zfBiY;#}b9kBc0hH>;|WKzP1#|t}aq?Q`UIjl>;8EjZxwAP~$<%#mBVk*@?Bg1>0FK
z8r1oA2n4Lr4B!Ne0yE~#TN;{e<YonEEpK0_AwGlmepR(w>vfjU<Ocb38zFO1I_NAu
zYcN&fi-g!?rl?JSPOQOq?}@HAml||}Fc483VdT-<VXS)(j-}DK{T(8)-)NvTjVZ0}
z)~?;RyViRDX8xQQZs=%1EWXe3(m9M1HFu>H0Zh>EOg*oih<NhvzXUfARAKnIN>(cn
zP0hN!5S;!&c>)ThL#k`Mwm7JEau&5yE!MNK2lw*hcZ)i6Z-8{Mh%j5XSnb9*_?`4`
z3fQsuDUtXo-}eY0i2w&R+VAQtgwmdO&c`?ts-)pse_YFMV>qo_dht*n9pKc5#Si`r
zydgNCBZetxJsyq}>N*#4ewy{f$7&7lKmNeW{cL>Qww?Iyph8o_Ug5v1P1(U#C?&*g
ztD5$mTxglk<8mGqJ@L)Hn*|2!Rrfi@mdkg1p|4P{AhgV%EhPW_Ni{5;{+rR+QXEXt
zlYg(<nO7~(d7h7$OX-he$`V_3x#v$9`R|#zIi*`8M^Ubp^GvUdmPQ^gsY+%C9D@2B
zg7xl9ap!mfe*gDtf-jyMKu;QI9Fj4q`BFlz(bt`0PWu;H)@)DR?gY_|)kq}SB)bC<
z@?2nmERpv80R324XU(SjH5u+$-0Mq2fBu}h*fXe?#J&8~ubi&2g~3@;P9;m<xTC9-
zl~$hwjzbGqGmQ%(T!HxJ%koUU+y8Ex{_eS#dUb9|m#f1IEgmqIFmO9`nwRJML#z{}
zJ>*BBUW&_GMbR0}yOqR-wP$hsxjyt3)d`-4RF8TL9yb*3I}}%=vW7KE3S53k4_3H!
z=B#Pg7?U$i_;*H(L|&BlXJU!Yfg?Zw5_~@3#KRzu!d}Sf$>@?rx0|e5v6M6Frt=rH
zgjI>Pn%&v9aHafeexx$OK2d1R*%mNWZbnydW9K{PZ`~N4GdX)rkVAP_w1jMYTfD?a
z$Km}L?MTKWsQUk(q*QM}vi6X#!Shd?Nc68Nt7F)B8X{vuT4;C!<?TDBoteB5MRByW
zD@q@+%XT{cM|ov4xOm1^sEW^IqX}K}>;UvaqpkG6-xGubtLYBQT~1ZnQaVhY>5yuw
zlB6gdd1|h<FpLKkce5J&{3*ZBnU%W_Y<-TnKLw&m*`hoQ%MBmnSl|NW5r1$sc*)p?
ze}i#r=e<VbpbuwF7F^4+9Hl)>IEawo^Gy&eaE{C{ET)3LMk+3z#QZAih;p{E#}i8)
zlnLv}V{v4oB|ev7kYujGyW7-fdN19^rm71n=<&mN&k%~L3LO2990D122X8aO$FWt%
zK}W_q$dskko#7I8T+)<fPEy`2_pn27OkSr$kcO+k%l~eS+lKG@Ef^O0qic)aiCt?u
z4RZj(8%&_)2R{5D?)@>HNojw@^MG%-3pe1Q?;Sh!O!k04x<Pxj=)Ne1L@||;x%S}b
z5A<{+ysZ8443meLqCYnRH~JTKU}4E1Bhe}&6<4fveDO{ur)*A_saWLmMUWM2FyDfE
z(o@+ATQmEZVW_Gap(t130-uG`2Y9J}H9MA7Zv1!Q2S~B-a@fahxxA{}+}tX3Gngnc
z)W}J5BltIRA_l3*5dq0^l-o^J<0wzgb=G?@8;-XK<AsMl&6-Fz#~ceE=)81zTu=uY
zFWr+Vd%0uz8Iv6U<w9YT<?`qTt!7rmBx5%b*0&Y&Z0ogdAex<r&K^25ht7Gd@qSz@
z_#-2NNkbHGUEfWhIkk!|SaUux*2U8ef`c_$&u<(_p|}q<FSSlSx79I9MKOdhQl%zN
zY@TV}e7A8DYb29O`O-F#{_eKs{@r!+mV*FS&A{EreG1IDRDbJy3-z#5nME4(^L;nB
zeLbG@TD(B_Qx`oig_eRqklir3R0rekR3no&gA=@ZEFY%{4^QN|$|6)ZZqSdXqvShs
zd3VEr&Bi(YwpQ$B=}G74`5}f+jP0r5i{&sJ1NUa&YM1%kS4jRKUGn$yTlMxCbmbQ$
z8Q;Hr{WF7Ason(XQf~eF;b+)38z0z!H$R&88Hou0zQ#fof_nUVx<z@cjvmH9LCql_
z-6VBHrO=+w(aI|>{!})-e|hJ;bD#NHLql5h#|JGOfjDkIAWr#T_x;tc0G&s|lJLpA
zrlD$rixHFp2L=X4M?c5FFRy8IY}x~DDAY*RB6i%+l$7Dy!puzJtTA8TSEn%<DZk_5
z00m2bMB~qw6$yd1Zj*6a=M!{|W<Q_0Q2U^O0LAs$i!nAYM}%w3aHg>ZDXS#X|7Hl=
z_m_k#nc1pilj~sn$;0zZtb{;5KLeE8{CcEnY3fBsK8gQ|T#~hml9z5xjdD>tMT1Fb
zfP1_v>M4?%2Wt_y{?#vl3r?3QT7lKn8bp#wqILZq>(^CLtyj3)sXPH|&b{0&7M7+(
zWa;eXCeFWO24`YNs?2I)?oHH>#>0DBY8vMOcswS-8xx3lp>&?HTTf<tjfp<l&u!6$
z2W+!%3_<A7soOpH?R~k*Y4+4??W9GSXkQ%!C!1`9pZjy?8wO=FHuSMocvqkMgS{P_
zTiY*pZJf$N6tw5{5?o}{c+xaCJ*(Ur{nWg-T<^*~*1hh!am~Xwv7ehi_gWR>4P+<i
z<7wSttLD~&N9SI%T&m}T+y3O69K_T*zq5jED>e3lrTvfnSGA8WNeeP_jPs?(JkvZn
zMc3T-*)_*=(3$@&2Gt;SfP5=`2GP+Ul|8)r*#Gp)OX&T`I$5hx>wE|8<12@?;6vn?
zs-{}G^M}vv2rZ6HI82sF_eoykb4Y#9Q6Sw2gb0Wu*JRU$=5*1E&f+HXg!3HjqsiH`
zr*G{H_7Caqjr5f~&|(L#4YH)DzT;%5*|FhsUunE^02xU`GQrWNvrZP7ed9h}qou;k
z;S0M%t!dq^VB-P~R>t{V9Ve~1iuuRp4y7<@&1A#gPtSC|oy7m$RU*d<o;1a9WX%Kf
zwPrzK6lRa2xy(7YjcrsM543*#Qr_=cXzx$I3N>~QyxCziHuzJ)A`tH&JNAXH6=z@Z
z%2d&M0&yZ^RBG4?&VPLx$Gd`UTqx3T=B8Y#{cpXj#{B#J`SNOvOx_v64CxNw-2L9o
zFqnlqjn1xRW^GTKOvN{1^#3jfOFBebE^}1G&DO;(pren85PNuC^Y@rr*5_gKAz{bn
zZW*Q*&pg@&y8kX6ww-+E7rE%`9am(dhQq6z*lwQIrCaW8=R*-$)SV}<vOM{#A6yQp
zrvKkhGukN&*lDFx$%#&z67Eoj5s=B1dL1VPis>A+RE45h8n~TREFK-Z{D~uqbN<sm
zn^=k@gQw|vWIGv>QCLt?&;8s5jU6P;pq*nWb81liB=fD!7Ll2clb56_RRN|MN1-N`
ztU((SLqB;frVAv`Jr+HPYfqd9>&OkGyzRVNIxa`_xf)9qMn1(ATK^G0{}xzd*x>D_
z^{>+KF3<qmeA)83Y6XE1zyM$qq#+ZBc$4{Y+%)!p_G{B!&+?wmRTD==U+a$AB{riK
zVNXD&`dRc{*?pkFJnb}Ah21%At>%&o?`XOEbv1Ow{aR{2d!lmu@Dx{()hazAmlV_S
z??;LA8PYpON4kI-nCDl5n-Jh>A&v^v!cgpY`)c(|3oCckL2<6Q?<?Nf?WpVtAS%e3
z;aKV`gzv^3MSIU}XxIzSsrSo-(D6#`unV*Avs`+z!_rys{5Hv}gBf?%eSz7uLOzc;
zveSy-EOYfSR!3AvoP_OjBm6hPj(0=NW*y&z);76~mB;HvkKk#Ts^Bq4m@4wq(ViDg
zQ@;NOD(<`A@FXv@#QB#N&&*_OQz;_KZ2yWcx~D(8`crRD!1+UI_@nYMA(l?X%;~7X
zU5?NtuQIz+Yqgw|VeUu0RO84F>)_3U&C+Qfr?T45<OKodR60BSa_lyVcMSBbuVRS7
zy##|nfd#U&hXW@id`z~tI2%}vDCb#!?nEBxpB+k>qw5jS`OwuzX63{<zp9}wBu1l1
zUQS4XWwd4Vf+sDfUS6+bUmJSgclxLCbnVK|eoAp$*T?zs*!$7HKsdMKzqCjL=9!%1
zn9q9loh3Do$+hkxCGDkm%zjB3J|kDZ&b0jxXH-<w^Hv%t<{r;|KvoP{`S9h~n=pSb
z0{Tr8-RhyIU~i|)Q6(uG&|pZ(cd-KyG(<4nHR+e*Uf%wmc23AvJE-$Ka;??7T>91u
z9BJ-yZ|6*YYc+o!zDrw&gEFh?JTl%dCL59yJSQ{Nub&57(BIxplc`;2-{Efbc82g8
z`TMZ(OXhkZvlP1iDP9bactWH^g_JMq<<57WUokZhkj<kb&vjBFk&kT40<c-&H=^aN
z5zzHL;7Q-nDX#+C8enSzD%W7*(r5)BQ+zCSGYIoEO*!|0AKtPP4##8nDc#C>jg?4u
zA%)^j)mojT)hccAQuk*7YO_J>veZ<AIA(!FVQFHK8?VMr?nBV?4?aDQ&o`t=C7e={
z(4=JPANPUliJYaj&8t2Uo+&SHeFMdi6tq#bf&k->BCW>Gp^a&z)DZyKN$jI7f<0z+
zcJr3^m)?JnGi`r9&4MI$;)C$F^O@Tiza+7Qj3uP|9cCW8&GNQR(S!Y)?6jCSoQ65(
zimqvGYRFA{?DJN6n_eY5&(kuU@R<j_V>)d{#9n#wP4B!~e)o%Hv^eFgWs}BjjkK$^
zZGQ^-K<4fO%oUbH)T8$O<CnGPto45c>K#)Bx?SXk?xEoGU#0&RJPOQp&Yct9sJ%m=
zFKH)L*C&$!Z$0AXfdBPt*8ie=8}@VD{3bUlkAMH$yIb?h<80GF7AfJ&2JetkT*0;n
zpF*#&qhWQl*s9;!7Z+WBEjhKR(}SRKX^QgvnZ6^wiB}a*EgYmAs(dDX=V|ba8@+_P
z_r!(NCC7OPmFkE7*M#(c8J)S4^;R?Z?wpTfQ@g&<zF`0j{^s)EZhX-$DqK?Ys(w25
ztSWhfD)yfQe)G_y?03&5H(PnT4W?F}W<(6iqX<>1ri-tW8(X35TZxmpkAK`iPMGCQ
z&nFV#y%ut+WGp*s%AOiaJ9+)Ic2^t}N7WR|C}yup>#_4A8ELyPN8q8!IBRgzdL}hF
zmTkMX$m4Qwr??9=gW>Cc&G1Tza`stqy$SIw*IRcfh28`$A3hzKxy>ovZR*ioeXI6v
z^tgS$n;uj6iH=1ZhgaNb(Q#;z$C5UNj%iv1XG(TwI-6M_Z$+1}SyxAKEPGMIK=X3*
z`raA;&-U1|xTqhx!drw^`MR6q+Wi!auBFRRJCZFj2^sn0%)+9-HqAHI*3LTTA|_Sm
zPqz#64%UtC9c+v|Z$SeEEuI&`Z_d?&&3p9si}0MG=PROOXS?8SER=HjG^a7G^T|X`
z%EQ~<i|G@)*YCZ;!y}u=>n!~_zXr}EHq}_Q=F>GE6-@rPb{-E3Xi00!{iwtB?u7=)
z9(kCS;mwuqRU?At4Mqy8Lek%yW9|j(-4y73+4SC`NbDvf^j_B0aAqYEhMNWW34KE#
z!~#d5->#xaiSFtiU4&GQ9j#Zd>CEIi0VHaVupYXn6HQOFLmqZ95g7Cjd7nQJJ5lbN
z?%isgH#p~bSm<Eaef)CGp^bCF*~y4dU52PC8<_oy&yV6QUr&+EC~H=w0LtZcZPMed
z#e}?ORhY?r_-e9G#ZA#KRuC*8>6a(3z^Xjw=co2C|HMN%J6}3@mopZ$QEbX=Rtv0~
zN~afxUgzh*C;0q>a{h9%7}rt!(qMA$O|Eu#+bGLgnv^+d#%Cj@7_PSbQO7Imzcd+y
zMNvb2g`#8|*aI40zi?&kl8wym;L9Q(1vFI^g~$D=<}Ava#*yc!CM5J6d8~?mV0-Vn
z+EsZJd{VsE-i)ZWD|BCNWtVVnP<x{BQlrK$Okfb(;goG=5|=!6ANaoL&xOqEkQ$&R
zH$4VJ`8u@k0-aUHYnfx3(`aE^(ms5jU7l+8;>lA%>$9SwaxT-&XlmB;w1mu|Jck3*
zuD^pwQb{y!8Ipyr#984VHDon5^U`9kTPz!Mg0SyD4j1I$RdLq!KX#)`{+5|M7tc37
ziksT(?>$(kTzs@*v@?{qdqvvbGi08t6gh{kTlnW}L%dhD_8|WpkEaaIq@uZ7p}9-p
zWgwz~@Ru9FVR>A1ZceyAa4vLjC%d$we}ZvlQjZ#%#A+5&t3&c}FdD*wo@W(jH_@Mg
zUiqf+-z%hAk^Ja)ehYF+#I)r71hd4u(u70-Q%Rz7f0op1pW38Cw}Rt{+6Cf=`063q
z(#_%NsXtFv+w6$QX8j)`=UE^5RVDE#<dRD38~cBm=-8Fab9t0Gtep<g)UR$lx)K|-
zY$c?!HR#zEM%)%Z-FJuiBS{Ky?)G+NZkb`-&JDH5M3TGB|4PvW=S*G?A#{VH7=)M{
zh8u0vRTRG@{G6OYE(Q5~44rR0zM(3tL0&O2t~HsEv=Nk)q$;>rO8O>U_w7dj$xOt4
zw|#}ShY%2v5vxd_LCKaupub2IG$r<nm6IHqN^paI(ViYMcBv&xLTo)I@^l_a<~l#H
zuWTIoo8S-u7Ci{DuVKYKRGu#{l{0NcwtM=aRNG#>bzk?4=pi3vKlCBrZPEPdNW+s|
z_o>v}p2MSfl>@PWlb>O;^r@X*e!?p*>SIc_y49GPN~<k0w%IC)19M!X^5f{D;p*G7
zcr&*T1T~URGK6t<8c+%1xU5YTZ%0X!Tpt(XkWVLcF4m5X#roY6%ki?*y6QSL*WnjG
z%_NB8S?fnuQhV%cq*L5TiiGe&&CxfGD+QldD>#ripa_>bYzruijGtVFs{9#9dHixY
zs^3ik7s;-=jpefL>+LY{$`n-$eNO+%Ix;ptjMAGNZ%HW`%clNyXF=+m4YLR53S4U-
z-D%EGiAZ(hB<@ja0y65Cq-I=&G=&20hftcqB0B3yGpC}~8}%}SHz7MBZ|mJkY;WJ_
zF1Hx<qTH4Cr)Z&5f!3f1ANjs&DJ<Lr;>Cbm06qX4X<n0<y9?NeUuMY}8EqCDoPcQq
zJ3G6#H;{Gf2Tsg^0Rg79@h>2W=<+vZ>?4}}ONeLne+8-sk7MXei-lh|CQ<RFAW
zogqZC5qE%6-$^q$EOx}`Ew0d7zM1cQGsSw0v_eTuMdX3J__E|_Ew882B}=zOhiINF
z5jBwC%fU@sHsx|4*YnZK{X*V}K@ha`#(yfUjp%<u!OoMqm4<MGl`IK#WMtXJ#dP%a
z^n83?r)%BR)Tu5`u#mRg!GlPxtLlivd8ff%nN)q;+oM0-%eD+CYQr|uJItnXoYc{`
zhLWAKbEt8C)t@D3koTuUQ3Tf3`VzIT{1$>us;pEE)SdU|QerSwoQ;k##AH1TGh_On
zMK;=Aln8tW=HNi;9#|@X57^a%Ls<Yp2O_|gbUfAze*h&%Drfxe?hYuy17UH%=33IM
z(Dy52%sqecZHnUOB7M0ry>8@SYLJ1u=EA_4vo10;k78sAamH6)x?tU+JJ(O^D?PTp
zH`K>qxY9#I=%vq|?XR}P1j@<_cb+E)>Y&7j6TX7xX#Ak(Dl_in9r}$P(22+6_<M2#
z5Mfia(7XLI?i2<FhNIJ7qCBb~l+4dmscu^dKn4{^Ra*j0=B-cR>WFV4g6WD!i6;Z(
z50fADxxOQ(lOFQ1iBa{6FHZQ{xkkE$jW0LnFOM1B=7{+q$8W<N{AuzGZrq*8(EOdG
zW>x&v#!&5w5Es>c`9SIvt^x@bfT$r;qen>TuzKoOz@NZ30w~<#R=U7MO0v0Mm<mg}
zyEn}LfPt8@I4??BZ?bs2WSv<O;fZY?q(0sqhjN!^jV)bNzn5R&v>7`fHh4{TxiiN_
zEtm26?Q)7W=5p$#Q(>;@Rm&`TWHWg8*&?S-(7RMhbz60Gb>-hmNlG%!|Ni}3^er_#
zeY4knEglKDlk|(<1ksMKM?+PY$~4!5Y>O2Xy*s;Dm(}nOC=-RbPBB&OWG`FmR8fR;
z`B>}#?Hi#KyP$M-OydK==1GPoQcj(k5?hgi1tM}`k$K_{K6s1U2#PL|Gq6k3)4!pR
zpauT;@#8NCz}~;#2P(0-^`y@?h5Ngr-Jl|DE*(G@c4TBX@&2*&kekQ&UCs34xSC?Z
z7_nnDIC{jPVE5<Sl+>gfTDX|rztDx+3<V!E+<4D2PR6jaon|6D{0WdIMkHe;#pf!e
zHT{=Z%!=*6xH+vnEln16l0UkU3iqA(1rpmN0|(8ueM>~*JCQ0n%JSK>@iU|2vIa*6
zfF?l~-q1Pg`ZwHpOo%o~82r2s{fGefunee}Z;7RI#vLD;zH2d<;QTV0otvBc#RD9@
zJ%N!o;-FiqTG6D63Ww^>>0A6>RAJ!Wf!D(I!FLsr%r}41JVkDM=__yCs*QBfWCIV%
zNRM6e?6xA$IA26ygP7$A@v?tfap_b+pkH{6?rvR@BN{i6${%bZEt#hlC9e;cpOFqF
zU&>EPtDGZ`Iw@Ltw+&1V2310n8|5miqVG`glyXpnJ#W%WFFT9qn&D&*Z@y3Pa2~NI
zA$mU|Cn?>Ng|^yMYY|r!)eQIBdDP{cHyt+O2$PB+lw!i0Md$9;EL*YBD@+!I5%GGh
zjV650x(iGF_!r2Q%xNU{FbPWFEOmmfo}@fIGjKpucK;@F3yW^hoDH{;qR*7%7tuD|
z{z@?wgzydMsdwt%B@J)+A|=UaVx+Ui*cOzPlpG#zPJeAm=R~dlnfhH);~Q=!-)oo5
zobcvNIbATL8RaSO@`-~P+Vxr78l{_liNoC)aaQ%YW0T)VwIU5P_ac)v%d$<AD1ZIQ
zZby`bL}Q$9`3XPuTBV|eCKhFUU4tWucov;fdpdN-^mG-+E3N2mxLfrq=PkQ>UHn#8
z&7MZ=CWel^NB9v=>UP~j(|T7sD;8%8f0P^j^<A+E;l*X0fzw??Ksp2U>Gp_LrH(8e
z>N3004QJX@-<}n8m;LIt=ltP2f&aew{;}5yg9zMHY>Kaq;r1%ttQ7qQBAaIx92Yj+
zDEEi&&?He3;!qz_+;NWr<+)<!7ZA4K;e+(Rf5EN6OBQtgYG+nkJN)NskM!2`*{~()
zM@;0)6v@GywApXjHLv?E#)*;SCFI`{zsn<V3$*gltZ@7|##Cwab1!YNvwNZPOB}`D
z(eYcgsc9R&R%Mkk3f}<owJ>e&3&L^I1_RArgYvzrk^zHz`BXl;meSlM>6)|gAfh<v
z)l92NkZ4F-tXt|ad-;4#GG0w6<B8nF#fJZ}^*nJU^hD>4Gkyi*#cMf&fq+1pw9)3O
z=tD617b-NQUbecPu8of?PDD|rx@KzDSv#|5D$~Fb*VNSTjwB(<C>2fqLV*3nZQS5|
z*Z?R+zcztyN<_cm(^IU^u{&0Ys-~LS_Wph_YIqoP(|2DKpe-E7IYHhyl~-A*ND<v{
zcomBNIx8p$UifV%6F)yz>BN#q>Ruap@mRA)*Jiwxw4V4dN-IIWsb|c`=2W)LuUV*3
z>Mw%Yer-N=wWe7Q2t6{&)s8sRsqlF!KN<NH%B@|lQVq?}E$$#RT@Y<MBow`%#wPq&
z(Gs;y3sll6eMz`Wj)Z$Q5#GmnARahFld1J9Xj@g>QkS1R=7tf?++W1Cz!8ga$_%G9
zv2B#T5T;4vanf6tpO=Q0Dfy>xM@5wAq8qp2D%`j6{yH{Jb*4$nMrm&AQM=J8lWJgo
zzOjPX<}1Nq<>cffKR^FF(hEbxcu-CM)ku+}SfD*9|E-{~kf!3x0@{+`x>`~r%nMVB
zl8wfy>gwu0H$*=PRcIPbT0%oY$b5G$?<y-RS604G$ol#DEZt+H>ggd728!xeBxh13
z=4$r72_m*J!FdhWWDs(!S+t9G^n-Jh9M=OmI$;%VtsQ$-WPA1kzEo0FO1J>2AX5Rg
z`gYQWwZ-%61o=q@sDkw?y))w4qP{?&oTWEkdcb9oKWHFNo4)Qhx$a@+5)ze=;iQnN
zbD4BvSnH$>RF+p6Oc-pxkcC?6vve;CXbPlyH`F#*KLtBz-4NfN7hb+`CakoG^Ws55
zs<-$y)EX%(U^D;Zkr)HdQcsuTGG48IJ+R@E%4mRNywpmxcrr27JU@<y<aK>{UQk$!
zg{J4GF1C8P7T~ORqv;&4m(R2$=>J~AO9{j8dQ^{oTdj0e30q0HEd^AFPQcRa*b)is
zl4vl3K<WS_(7}?PU=8ej=!nUvsNO1#!U*p7peQ`An3#(^Oa&Mj_?rI~8z40L8J0C6
z=8o-E;A`nc6;x@28Bfw?Tb>In`*^=QHy&!>1An2Kh(?9<ydhw-B|bkJ4)y5$gl|3l
zy@;l;YFLYoo@QeI!rRJo9i3ZTOyV<!)7pxeN0p1Pq}%SH&xl)%MC<R0Xz^Rv8;#;B
z7tMytgA|lZ)q?ON9vw9$p1q}2A>tSO-b=nHi5Zkbe>_$KT6&R^|F%SEYOB*@1$UB&
zM0-$dXbsG_ikMc5aY~cS`ORKF17+LN!E-aTGksca@tPPP2hYyoxbt~Efj8C&c!vqS
zeYO(Pgn0!q&3Ks~;F>!^J~iu+J>)w&290_|5%1L~n-XEWa=T63+{-I;L%1$g;_X)Y
zF-*6^gUN-K6PSW`{qFt5vg_nr!`$B7r9~~ifbD=KR=zVqCdEjT$@<7Vez1^s8ULUA
zoqiD$LN|AJ{p(U=O<Ef@IGfvr0)%Zj?GL`9wFpGK4L-}n&8EMQ;1Tf!tlo{BgMazx
zaA3I_x+dHDkWp*W>_UeGwyG;k@BE+q?~fYg$<P4ep$zENGg+hn%bSY{c?5WP4EXM@
zK=eg|4-i2FcG)wcfyw>87~5N!f2`6U=PhC=Sw!Nf!uURTmGH&UZ2o2&ku3D;l9(S<
zdxsL=j4m9IHrKC~u37-QL=N`ZcTa<9go`ejtN6pyXV#u)J(crDm_FFE0+m7~<8;s+
zO_4h*8n0>8lAa?!92*^4tt$J&-ZCE@ZS`}tlQcT$$-coGxuw2Vbyd%z+*7j?Tt)Xr
zXs$XK6XeOevNkmpm7z3&<&znvPTpQSU<SweyQ{ai^=_}IX8=g*19^%sz~5=AL=%kK
zOBk5JfdRn25hYQtHjOMR+guF*z=O!$_np~W<$2okmT+;<NcTIuvqSiSo|k5`d8I~A
zxzr=aG{oBEKA30H9#JZMR?I57RMIyu#W+i`9FODlo5Kp_F1zoG1_rG;Roi)sTz0Bo
zj@S+I-!zDLHlnWkXJ1IOVHl^_dDgTx9TY)5EN*{>%igX%stjuZ7c`=ylNRtOE`PwD
z!2#bS-s0cyiY_MRKLvnID<&#h3@ogGya*7R2f^&|?h;Vd61&azz<kW7Wu4iC<0a0H
zA6(4WzWa8;o@%RB@6fH4nrix3FdF74Po49@*Ou;jkh3)ply7Wx3+03-rQLGG`@ZMf
z54y~`$Q~v;%{?eO8|=N(3SMd<E-9WllXfcY+174pI6JG8;zKj$yG;MY(7bq~4nquY
zgW+>E9A{pWem#*n+842M@?rk+`NfC=Ex*6Nx0$Q%FVzMFlmFM;SBFIzb^D^IgfvJ=
z2ns47AWD~xAR;9pl0$dP;LxFffTT!C3IZY}-QC?KFhdVr!_aZ}@O}55?>qOo&wbAM
z>+F9RX5Q!B@4NQeD}Q?}>PK3`Qad2hOFwd&%k{yF4xUKH5nwwRy*Vg__j<@{UIy>%
zhpuwNMa@irZ~O6=O!==|e=%p|UnWFZe7B{((PgbAb1pnEU2CPAu6=7zFvXf4<~Q<E
zVa4fqPnSE1t3IRXeo?g7A!g{pC4o}xTgu~JW8n3KB=QYjrdl?QfztzWTQOBVH0P-<
z=m1Y#rE{ir1<IE%tB0HS*_KJ<S9RxHte)np?Xp2gGH2gPS|WHkhbb`7Y0|b4ZP^cY
z-!(MY5YMVbq2^ba-?Y7qd2)2cbg||7D7Bp65I1|Lt6w$e*f2-Q_6=RO6ZhV{5I5Yb
zXLgl#Bozac{!Xvgf2mi^E&`jsm?X9t#9-GWyOLZ=JckX=T!(-(Y9v>GwckrN0PFBN
z3E13dB(j%?70F2TY+&Lp9*}N#sdJspU5O;5r+!ZyEp8XA!MgI5!LCNpPkaomYlX_F
zaUc-L*t26bEHLlvcH64(%Fzx5lk{885CVUFe3shFG0@eOSZ{NDlj?`*D`c>dD><Zl
z*X#2RVeav)Q4lFtaL<y*u=UuS|6+*1EsZt#d#}@VSfj>&FV0mQ`>AFRH~e_cN}e`$
zQ=Dy<Hz?ylP^yIpZ@B`*GKK|CY)-k19L58#lQ{+(((q>V9IWQP=VlfV%O+9;(c^HA
z-m76sb@0#hDGnJ}YAo1cvzDieJULi5w{BC}@Rj#)e@I>%%)lbHG5lx_vPnuxWINx@
zlAxxoDrh<v@W=}O6yx&|auuq5%qm^6VGSmFmhFp;?fF)=AjN(lS%0$2?a8K+kLYB5
zAAT%FC0{0I@N$n*Awt=!Z!f8xXj=Xp^?Q6TOYlN|=3#1upsMIO!w-BGF{SlatSc|s
zQ)vQBY{DLzBMWjH<+$zXO1U2<avS4oX+ZD1t+5;ouHx+EB;62RYBaq~_=U)(bX_-B
zC3|%QQHx+D9}<(f22Oj>+ykEV9kmQkK|6;m*v-SD<7r<qa`J;)N=Y0p1IdI>vIhcJ
zhC&s~TTLqN32-m;VV;-F7Z$^lPqN2r?|tpyBmFvFL{jbW?J(+Q#eGsUDjm+8+${9I
za_N`ARpFF)15Z(Z1OF+0`$;=dn^J0ofc5#!uq6|{=^{+MUw4;Qh`7~X!MUXo2&8?l
zVklL#baJnYc_eD7E2r}H>->B7wP##vbIPkL3$-|6Zrs3Yzr_dgTZ>Uu0vkO-o_V_;
zZn5~L{`&A(+2iy6s$elq)162VMII%<27B<|wj%$)X~YN8*F1ZNx1e`UO79L0!6>Dd
z;|329$_m4RwANcV&}ItAc>C*~nz+!CdL65~l@!+M526F^PRcBp>D?NHpccx12d$3i
zox*mkOAG!K|Kd7$f1YH6SBa5LIzLpah;d(-e$mSyt_>Ud+jGQ9j-D}6HUA#EG0ak`
z`WdNiH&ul3KFjZzTFl|p^Q?Al{A6@Ov^n9Ze;{X8bYMO0wP?uQCR|mWkQKf?!*r&~
zfY5!Lk0`O|i}1Mro8vqoKHMPo(09CwJuEmdOyC>CG<+`e?HcTFof}CX`kiB*UQdOm
ze%p_VK1m8%!`kmaf<5E()?B`V^Xx$q-2QKc<@qQDCfKmoUAQb%zOSONPpWyT*{*cp
z79k|S)|%R3UE+iIqq840vlk8xNvXf+95X{I&3>ie(28Vfj~!f~13|ym)xCjkQoW<P
z%I_js@*)?0GA|l?l&EO~TT(TZl(xvm5Zh1DQqgjS@K3?>W_o(th?`+``;+k7X@6zJ
zPFAZ0CAGzDJAaWlY%CI1pf}`xex2x(hab`(VyffqBrY2Ekwd{)VQDgPGcG2k`gp>h
zxolU=>%qqIs)=O0=~f0|9?c_{jiSz7jy7y`+Pvd(ufDkg^KCjA-HAe4LU|=dD5r%#
zAWb(ifztRSJ=A1@UhH`Q!5D5*Cry6g_TMGSR4V;LGNtDn>2)D1)AbHxW?MY_7hzgO
zRm5n!!<QISHa3M~UJ*{we&6TYY^!U1gV%j(1|w-*nj}a~^UWRYWrfdjrNM@}2Gbq>
z7?&PVy0MWK9BP&9_V8l81MMo_g+AS~y4EAAA5-}kNcPW2jYH4Y9mn%4p7R-@p65N8
zG4ANm1Qe6{@dHL%^_4XD)y1~d)Vqw6H9!CC4V6V}yO6?dr;1D$|1#I<nAIc#rn8gO
zp4Y&_q8`!t_XFwlCa{~#?1N-q2Fj6cV`ZVHa%;>=^4DCKd>KcUK;m-kIqboUShC6&
zgilz*Lyuphr#z>_1hh?m*GQS&71q1OQ^ZG~%y%?qj68kT5iRAhN<7k?)?8kdw9g^8
z9T;cmEU>n+l3ZJH>IzMRlkF`h(=$*PTMa?ue?Z%-6P%U|A(m!<-9enDP3g8H3tD9}
zJ=;vl<n7e&d%nYJW1|Uu9TLe!AP`$0?md3EJebNC-y`xeZPdL4hN1jodjIDKfp4(2
z$SF4A^C7_)y{?k24+M64Ciy<oZSu66iyJdi-eP@TClg^D+CwLd)O=@5N`*WNP?4DF
zhmU&;^Z^~T*mba~@JHja#(l@bp<~9bVRY@l=_Hriec$2TGNnT8wWC$MpZQ^Al7<?_
zwuKAV?K<~+x=Gz?B4fj)?vXsQ>m6Ke8*;*ZA7HV|Gxxf&w^mEgHGAJNQT?FpSXWvw
zh--5rT}|H2c<!!}l4RwDZ#^#41bpgHW0nm#7Q!E9ezLd;I%fYoUG|CmP)&W}z;G~)
zl8oyO;)(34%zzb^C3?PaQ}A47`V36?_M>3A{Um;KD$qARlf<k%gC8UjsBy8PY23hn
z?-AYNA=#QyrGm^}opzS}tGa!fp7_?xbG7BG6M}@DZJpe>&8q%K2uTo+^Lpf*WNGg+
z%`Q;-EoSwR?cBpnvkfmjgn-q-l7~p*qR8|yJ1N~0Z`9%Gy4BUNShvT>!^8dDpeSaq
zO!ce{;z_?%%hmm}2wSZ|O#aQ?#*M$l`P-F?jto~#7$nWAzKRp6Zele&`zw%+sVA9*
zwV4^~#c`u-V^|UHOjZ8p{ki46iGmU#My_@2$k9;QKWZ`eeHn(&_Crj`<zS3y^OHlp
zdC<`}9e>1i%$<z1hv1A8H7<GzPLJ9M5@-90cQcYNer0DlKL6G$?6{t@GPE4JVJIR!
zIdZklp{i^h&h9@K&(^z+c%z_@Yjqo|m_)IPNk3W2ba`!8vXb|VSZN~xJ^jHc$zIe+
zFD|;@_aVww>-Px?voBt`RXbGu3ZIV4v%l8<+Kh#w+kqzMt<s$7AIes~f)65In}28b
z9UjZlYUkaW`>0Y>vdQcWD^z1I$&TobM3tSDI${cw>-6@!N}a0K8A<a?QQ}k(juIYE
zuwK!mk>j9w_%!SCVa&psojna7#)3`f-1AIH%)#DI_zU>A`QFj73flUS-7K|(s+*JK
zPd+36fXuBC53i7}_XfPaWFBE_#<!G&x~3jBf~u#C_E;>yJi3H_Bk+aUDefspr_D7B
zGWs3V)%WkX7YcJ;9BgQV*yf&V*ZirCp{9EFz<1O2S(_%Ni?N*iXwS^wG$Pe{Z{O9K
zY>><kJ*u+}TcJ9uPm64t^e32@ZX2r#7vjf9$~#xRp(zDN?)oV%Eh(V~L7RNg-MzHJ
zu#-Ucs?tS{S~Z#TY9==y@z@@wGAL62)Baum0Gjr?n<?wMo4u{&Kr<FZ+*0Sz>8?%~
z6jh#SP;oueEZQyQ9ODREqo3cdRf#K}#q9UWI$U_7HQR9KWH-}KNvSWkAgydHBSsqx
z#dfO5265fVJAjOnEZB`}rVv@Xu25o;+N!i%Mwk=VXA+IR?xVJFJBSfP6!saK_lM!f
z_c%GbBO7nGVE8${7o6q(-cu%_$DpS1h-rM_8kx=IK6j5rs@;s>)t_J9I4Rk2`lB2~
z1}UcBc$b{R&Hcy2%dO96ny%HvE+9r_fNf&4Vh@CkwS=(TG?OEsc34!p6jb(w=N8ww
z6_E!yTzUp7Hv6TV0TRG-tN6|S8Rzb!;G0`i=u&~NI=L#$a*`bd0-JYJEL@i&NrCav
zG?dc+EXH?~o81zTI+6Hwu9>31=+PeC)cn%OM_f@-8_g=CzEWJ8KIrJ$1;Zp#_#vWW
zdzhogE?aOShnk9l7leQWvX#H3_}yR^hn0m}0;!gC{Qzrw-fVv20gbdfQ7-~*I>(Pj
zze+U)hmACc%Kja3&s9$oPj+~CpyKKDR-t~GJDq%VDVZ{qM%XQ~PKqP$XaP4vE~gC^
zr0(3IFs2X3kyZ^87aR(&B&8qW={e7u0fB%Ir%CGDebO`E5Ktrb5L!Od`V{4}&`n7L
zftJJ?Zetw|&WEIg1b?75ji2TT^J#R&;-@vP2deS8Po+qXZj~YwV-^%Wcs+sbs&)60
znDjtO#4OgK3e5)h^fK2xoyr-5`qP>ngOxn8^k+|?k{)Yi`G~B%-;c#i<Qm)M@?>XL
zUi&qjbS@MQBV^|@f<bD|POF!<dwb`T;6>qdT>TBAEi3B}>kG=7nLN={(S%6dSvEVN
z>*6dwOEWghwgjLe@#3h8&v-;zk+mlQPo7gixJ{uX^do()jQ$2oHN2<;{`i9}p<#QW
z7aGRPca<b*CnO;3F*b(|Rz@hQIZ8v6*g<&xO{|-jbR8>(%T<UXwVFv`>^{toJaZV&
z4t{SX#@1$HKC0+MKub@&%mOyIPJYED+;PyVwmmfY{OPDFOOAzP-DzwgV*2DB-skIq
z&CzxCGQrI6_nVKbT=sLzO{sv1I~csvn)%*uy@LkjzH|Pr<@(3>hkx4pQ{!9IIgAr4
z4hN?M8&eyvemw2!%2Aj%i>!ZmEX``V+D-6D1_QK?RBy}a>Tk<HDGGYJuY;VA)87HO
zd`-jwQAkjzMwx5m#IGwr5AW49y$oh%HRi+GL`s)lg^qmR8Uvy%*?bVBIuzuN1K3Y9
zT;9o9^O(M54C3oS5dW-$-G85$r<c^kLJnDGWo8#__hBsRLrsa>1V<4X208=NjoZyD
z3Rl?O8buPulVBm>=C1#$z7Fa7;bf}{5clVZdC1~Z1w6lNWZwsW@k60O`vo>t86S>3
zCzJ%jQdP3hg=pe1I)77}X%v#SHR-2_5Z7|jNt;$y|HH?dlFSlbcP~sg7qdsAMnE8s
zi=$Z8Frhqxk`25=E^aLfIN&X(7BZvA{q&FQved-4B&E(A6`j2}VATt8n7^bsTZ$vH
z>G5B=z7-XNMqvX-ycpji_ctLc8Nj;rNj<3>s&1#qHe+ypeXQEoO6^m|EqU@?D?Os4
z=bibJ#d%cCcF6sqQl{||i~Qe+(34p<ih>r4$wk76=9T$21v;liL#XD?qonyW+_Sl=
z*3O!RjFHldBzE@@IBxXfH;K*#CS88Z+`%?EARDH=RAy>@8U$>;;m_1y#%i#iUGZ2~
zvf$D@{n9d2BQ2GBUu*I$fvm|(n0}?qlMdZDA6C`^4YQ966>C#Rks<l_+x}2=(0uy!
z+QsOWluTMwTk6DzMFhdr_Q}bS%JTwPn0_TAi!VzzM^BwlBL(Ep|7PcoRAp)WvU_a!
z*dSS(1Mr0mA_V-AU)bgzQ+}p_@`$+zy)YjVs|W}E$7PUWMb3FGPob<)v5K){{m(z!
zTIJ{FJ*w2)&A*V4R#uaCSuDWK^zF8j8G^;AajgP<F~c==5B%X~Py2S(qUt+Ll){=6
z?Ir%akT;GFp|P)s{{#Q5c)g3@s~`26)L`PAm#dU9n#n1N_Z{wP*)>d7ZC$c?Aqz0b
zh$tkttKAjuFiO)KZ>gp0)LMswf<7$y=>s!<JsBAz=6y+(`bt&4WbYRto0~l+3<1A?
zryiI7i66Y(*;VVhYJY>JS+YLgt&WPNYL9*xXtv3MCLqhb$@8${a!nz++Fq+J&7Y@C
z<umIr(Ta8}29cXa@I-UBk!&aUMJ1B^4<6?sE8PxZnvq*T>j%n^qpft(fSHjcj!w=q
z+*5fuint%l93;$RcEZ_8ob&l;Uml^i9f>4ViRLmEw=YtQ?Q3eU1QiqP4Xy0O6y;G(
zKTyvamZ(KM-r2ZKa>~u|;Bk$KZh2z-J_)m6d4cRMy(4&L2SbzcyC<Os%gL|t<4*g<
zfksz<tEQc`&O9SH+u%ULj7=K{UvkLWk?N0|#z=1EzF(+pF7*_A{<pjDNh3-EJLw5i
zST`fY+(=zUbEf8KcUv`bxLCh>rplg4MG`3?CoA_{5em173Cat(4W&*>nWqXI!d8>N
z)O;=@jt6rlM$QGZIq_pk<BO!;W_C&>54EhCANjxM7Us{^>unKBLOl%H#T>Zowg~H0
z*ZtltUA$Npcz%x7i~ZEK1s;#vhh+~K4)^9_q4`~9PKI1uXN=FJ#qORQ+jcz36N%m?
z7<>>!h;M6Dr1iOcU-9}LP3XM9Y554&45xzf9Iq!vi3+Sgj&^ntt?jL@m!6k@`)+hR
zZ&)Z%(Jldpr_iJM%a-_<mxf)@le?_sPt4WoXpkP<Vx1AP#9)0>Sg=OEcLv4FwsV<t
zHxjqqr&UGYs(!Qm#^EUBd~!$n>0l@07RjsS(W5Dg=YrufaO=#y{X)&$vHDFw3z!IZ
zqeBRHB}lThCYKg6bQS5y8fbdxiud#<y!cX_^>$x@T?zll(a@a*enkVK{7vfk;36d~
z{{Vy^*n7%PR7RtMw4;1kZLWgDnj)RI_++$z<>LMF&gDbh>e>r1aecbN;!3(&U^C6V
z1~<GNTy6F%{KjNk>Bi{&qrCz7%ojxlT|ASCcFkkRHiRzZE`-|{`T<LvYkoHZq?X{U
z?KKNoHIH%@z>RV8K4OVIvvW_S1J^NQJYlQGt?nDhE?=EYkbr;B3_c6pm})@is<_@4
zaco{lQry78AVZ&D1yS$Z=PF@&L(IvRCIVGInRJ<5=Oku{J8u<w)$FLLkaiK&X|R@x
zHfId5<axYu{<D3|(8W0IWq7h>A^%Bk`D(|);Osn}Xekf4pAhZ~5Hd)KS{BTKOPy>Z
zy~e+KNVFACjUmm}7b0+9?%gWCR~0cO2XbW09kt<Z))yU9T}S+H`6=S=332@z^WM}|
z74_Odyc5i)F5kN~9%2yNL5jRv?dkBmBZk@Q9jvH%_O1#QW@cXXaW+uA-rASs98J^x
z{OfvtFDFk`qT9o|%EFiIF@Dm1QgCaTq0lg)FKZN(V{EP4<)F!E=Fri}2_+=yVoUY5
z=hXMwHT<r^3``UPdiME1Akm;U5Ts536k>pJk|0M9mUfsnCSfJSR%_2%u-qW5>bfWA
zR1Rb_j{OY^EYi&8>c_v=u1!EWdu1uIjDbfhqePqJGN%Lb3ddSeWyysvbWVJSdqomG
zQLQy%eWES_+#Ndv(^a--PHwunM;tpKV*{{8!Ub;cd=yqN>p^Tt{0@Z0cUu}twy4+W
zJe?8CVt+`W+SlQ<wZp8mPfZ`!T?xSSGZ3tUg~Nba+X8IwRRqbB|0^J}tA!xGe>*?t
z7ZYElSN@gh(9Gn@SeJ_GbpeGT05TxRN_5*(;@55O$#`KQBlpFYAWPU}$(P0Gm=Xfh
z(seMf0HB>16>@s=!S}W&fTzlhF0F0*8W7<;-9$4dT1#<JlS8PWy8zcgME9gVE<=$)
z3?N~a0*m~wLAl6fO2X`yQn1gb73&8qyn2i)@j7*K|3Jq}9e!vc>L|Nn?7Dhy9cwW=
zxajE<to?_RC!;(J;u*HglcRAjDXQQOvb-24j?l$x>Z6v$t=dTJR+ercJ7#Z2S1V?!
zW-%mhl`ZzKVSLFz)_;ptUSHoCmw+WVL$3UbVx}V;pD7IG0)u>B!MM)a-RXIwRL$##
z@)uvJ3SBP#0H03j_g0i;)I}#t?>tp-Oh{pXa#62nif0?zyemm|X!Q(vX>_W8t%~-X
znV+6mf|Su{-Pg5-iP@iI-lf*B+J`>G{}cniVt@bHRb(+tMAxI{Xt*J%oj2ya++plK
zsBAz|r^#q4^w1xfqc|s&=j6^^;WyjVpC@R)Tz;kIGpw(-^U*`DkzXYU38*q7t0GgU
zkk|3os2VBOB?Mj@y=QEtl)Z+&!}F~0?=0jEJ=+#xPZ||fvPU*a8s@<p74hGBE|i2K
z7Ot+sJwlH?q;M{GyyIgBp^^q|?!CQn;CORa=|jLlvsNS$8CUXc%h+Eq9E%*HBJ`_j
z+ED}5@d*7O+%Z+6WJ*qJqmQu3ZGV&QhASCs^*3qAo~8bM`8^u87PZ@Rk=r5U*=y(l
z0(EOycp&>H#AJ?Jb7Oye4=upL??$>l07L44WV?U&(Ad~JuGZrHP_QPT&RA`2Ei1Wa
zi!dZ}2zyuxV$2t(k_CecC1DRsu|_z%xKxOesc34-;x{DYP6>wxgY|tXSRi#e-WW&P
zS0%~2z?{X`)1T$>73ymD!wMV!0C6&R_Zk~@H0kzjp~8GCQerIIe2m1R+ijmIt0l9D
zpAfCMptTHkdMH9(uC1Xc8OM6%ChmQL8NXjiyUBEn)aJ|yrlbBM?U>{?p0~J&<tgER
zFn4DAhuMgY#`xK1j8)BInBDno2~AyX)iL|*u;c@yn`STJ)?-B2Lx0{zSZ#|l^$<7!
zdKY`?;@StvLa>aS!{{HpPg%=l>V^&GZ*(m19r$C#@#y8<%RfD+UYO4ep_8-;ewmw<
z^&7K;ZjE&TzbpA*!}l|a_o8Ie`Le3gz*jh;`qZx2zhIDhV}HhudR(lCyBym%m%ASO
zSquj&e=Y|p2-C)^zkJyWM|z+(ALu;G9|IN1{UFbkzf~FSyuva7Ys9N&!vZV=U@#cN
z0$RJ2rq$I|e3qvQU5oGGZF5=0T93L4opBj6Ml78~7+Iv)BOepZZ`zAdv^fC440p`X
zQ|>0Ak0zQWS_=5&Us@;#M&H1~U#A<=X0TQJ0H)d`xssyE0vHj2K+y0&K{?CRDqIKR
zBveF=XfVnp2}Qs{B|U2ci`@~2!S5sm%?mZ*o^HZvMSeu~6X;$=wktv;VbCwfyn8!4
z4Fu229pCs%O5&KSOqSW{RXaasG2Wc22ov9rt!nZSRZEue*mLzTHeLX5xhck*Q$G;y
z=$??<f)o(-T&<{tg!N7P8ATZAQr*Vvl|aU4G59k^&vRmW7KF?2P>f*dvE$ze_+Oy4
z$pSdM4Iq}bw%jcD`1tt5#HOZa>ls%McjkS`vebeWtLk-kcXw^4E2Z&QrYefc%F3`0
zt*oHX)AEIefCbdf9~c<eB*DX}m-v^}#KvVWhcnKlP{e*_x`diyKY8Ol!|G}5n7Jag
zNrID70`PI-Ak%JYY6?)DPEI9i9K@ugTO-+H;6b8Zr?+4q0%Uh%qCg#f)p-;uCLuu#
z^x_8n!c9XNv_e2Bz9(kA3;!64i&-O<-!lZQ$MsEUU=VZ5Wutzv?JM{=xwlP!;Mu1G
zbleddb^9Xc9z`HH`zW@5aNso`BKWt=&aSkp;S*jAmu6#Ojy(HKeEbKToI{o+6oJN<
zP|k-vbYjKy0Gy)>u#*;n7-askZ~t(ATgt=?E*XxNAb8b0*v8)yQ1hFJmREnK-bc3*
zrpyrqxKt*L=?owsv$L~7`83IkQ^x`g>l{5DozsO#rBxUf(F6Lw%W*`Fj*Wq~=k5T0
zK<H=K5_AiQA6s|fnIHS>6QDj_()i^7Z+nYVUE}C1ND*Iw*n{Xhr3B8E6elC7*O?Q%
z4V*g;Xql_pth8zl0O)pdiooVK6pW0Fl$1sAEd)T+m6r<*DZA)_ixm|Wb#$gcWj;U&
zB8=Pqy36)V17Omjry)ZZGv3R~%K-6_{_|(C&E!64$iA|&LM1)zb#X?`nMMgweZl-`
z$(QsQj`=iiAfq=Y;G*j{ZU}HGDJlviwD3H5z)M}o<#xDj0BIjDFnSoo7yU&lbs$ZK
z5;8b66fb62Ui9N1H=(|nNQomxPT}lr$`;cV5|;lj=*jHp|3FWEaP-H6)Bkfp4SzUZ
z^}Y|eO4`rB_vA_T@81uCUdzirrKZno1=FOY+$lOXFfhn)!ugIb!t#`V@3DD7zwniM
zN+8F~-*ZG+9_=prhJ);T90EsARrLivSf-4-2Sf|+g`0SN!vU2{gQ+%!{<*#_5Y)BH
zSVD?L0oO?b9y5TfUc<xdOB5Z0MH=`CH{}Qu(=F8xnLq6zyEj$PPw*q_N7(Z(e!T=Z
zN%#a}&nV}FY*z-;GZhne(P%foYu{d{uc$YL;nqOy9Q2w<Zvq?}kwYWn%|x>A^vATt
z8p{bdGl5*muxmJL)I3lfEiFr}-DXN9*xG1MadUVLvygrL*w_JRV<EsOW~bkdva+&r
zNfNwWm#Lnu8O=X>#r)N)`^5zRb~hmHg;KHjr}FV)sdSY%2@}oz`7lXEB_%=QEoEh8
z;@g4$7aq#bACGv*69+dw@eTferu$3)s2;90(OI}I!|VZD?q_+ik0`a#{xb5n)F%7Q
zgVnXQqQXKT(o8E?0Pp&Sr=+BS0@>xf*5(R1aEQ;p(+EWR%3}>iMdGmuFN0XnI)MTL
zz&EYvYKxnoj_e&@A_k#9bXWaF>HhO#+Oxgb_grWvkDsV&@Hm*hPZ3yHRP-)S$0C+T
zCSAn?)H=U@{W{o7bIpN06#P>I|2i+zXFl<Hd>lm)P^@_^zfKV!04k|7^BDOphXMRt
zL5>7W3R_W$HZkGT)YsS7)QkfKO<&#PsXHyKq5OJ<7Bs%T1f^)?kKNu3IoRJ9_}`$E
z49vhkc%Y~O?+#9}Z8;uOimZ8wR#S!h6U&mnImZ1d&%xGQ8_gB<I(K()C<qHvs`EU{
zP>A;rbgVaEXd4+Gj=e=M2h>`(z(2Q%>8H!RW`F(vXwn&`|4^F$1)2ZfzSMhEztNWf
z7-vzhi*`XlcoiyX<>B4Mu4xKdAj-Y7FEzV8Tdum>>Ts4xS9DL3xai}@5eBqPbiUy7
zO3|m_vTbWtIMx8@|4qawvIh{^o1xf9ofZpLQS^V8mXYx~oc-(@4tPMIj~sBbL}*aZ
zpk)ag8(WW~Ik?h%8f&;bv!W&^-#JD138KjHNSVY;yJM5Yfdrd)A|&JticwpQ=2-NC
ztATC-LINn7*PyUwZPg3#4akFECNJ&-RD91LgQlxjuU1!A&&|)%aO*g4{N?Aw+>ZA<
zM<sg+e6t(><3si}DM<q8nqR*jROm3#(3IKFHWn8087+SO`W2KlXM6m3U~+O2iS$}%
zj}V1#TBp)r4{r6-UgqTbQU=U36ca05(56PRAFyM;4Cz_rdFE=S<#{j-zd$EnY>U}B
zyDoM{0kl2<j!TG(i*s-Q0%8kq@^Ettj3R5?4mPK&fYv|*y(Q|XgMF>4OJetJFQ<jk
z7aoAk1#qLR{QM=gwVsouHj-z1L*Ndgu;m$zBEV%Qv!9tk^=Lq(0RVpox^yJ_9Z)kz
zpu{M)u>I;tHc(Ky%F2&jb{9Y)Y=GqkbAl?a(PX<*j(s5v!i7d{p?U6DyAdbk1(u#n
z`k>0If7T2*WdODb83l#m17OG;e|xA3Uf1>X(4kH1983xtK>RW3q6Tg1UvzxDe)ITX
zD>)*f0JK^Hj{!CUn1zJ?Y5N~1M70aHO$eyDpE6<@15}`K2SuhH1DMYH4%j@vz^T8V
z>~841eRhDnT?GFGYRgI-Eku%(<*0Fh2eIl#5U>#X&4JEMkHsV$mjGm@#;hAb44Q7x
zl94^bZ%D+tX8j45oFfOMByraJEkunQW_9FG<C8wIdHZ=#x15-mn4j~h={gh&1<F=n
zk^^YP>`uK(ScfwTc;`6JR4-rsk*=v}1~eap@)$*i4gF$cV}Ym=8FdElPfva0#*H8;
zR>&(Am9O&bRvHcAXi%X60K3~lu@NqPo=YwtyhTk-&!iET)jKP@PV{N^_Se_x0%a5s
zfLSwY!}{ZYXfFNn6|nz_NT~>=jhq07GFT-T(0(q%?v|(b|8XC>NHjoZwyx4fx`S`M
zM+vdv`(oJa?5satMMXu(NI@aizfN(wG`Jq=zJFh6@VWv}T`MO%KHhD<HDrmH5PLxd
z*1q?SR%DM1q2~`Gdk?_mX)<8~Ir=(mSaFkb>z|7b+5!3Fk&5rVQC5yv$-w$t+NIr$
z&#_kMQ_hGgtkw6&25ba?(9<h2RR9Ktq2U}TYOV@SwsDLAI(dS+vGw)!B#a^qq93}a
z4JaV5Oih;nA1Wl%Gr1ov#sKp}P%Qd&I_O3ebQ>JZ0KSDkR$_@Y{eBD7{BKZ)Rs{+@
z?-kvm?V2pMKu_A$d4SUaw!uBapdAAOv=;DR1cmkmB=&cAFLyr9ej^$1L$-;4--cf5
z0ZqNmW*R=7ot-VdcLCN9;L6?v;V0((ci=LYa%tf~5^9?9pY|)xxHl)3b+F_AVZdIx
lQP|)A|F-V`pi8|k@IIEMDBx&GVi^QSR$5Ui52F9^e*th##;yPW
literal 104442
zcmcfpby!tj^f!ubG3W;A?pC@%*raqyD-9CT9g1{GH%NDPw@6EOmvncXiQnJ*o_qhi
z&pqee4?Jx4TC6$dn4`yM5U3z0fsBBU0D(Y|r6i$B5Xehm2;_Mi91Qrx?FBRp{DA)=
zsbL3!5cxlSKMUVDHiAG%AyUwHD$dD!3nm}2HYQ<@*o@wDCW+wF*`q;SSw_1Hze%E_
z^SKs(P*B;+@Ww`O{D^bh9N;Qe^7AJt1~ieDNCXZ|Qj)^*R?ba`(Jy*`X3*H_u~oiz
zAi-qFinBL4A@@yC1{zrW>BVksk%#%;TL@%Wq3!v9@4r98I{KeaKS5sd|MylHSNIv~
ze{a!V{l9bTl>!Y~ujkbYY~up)4&%SI$Y+jLI+c}`MN?i1D}TfigLgnd|2&?jD4zLt
zT;tyz(2DH$aTmK&EZ}$cm;7H*O9C-zbX_)L(ubZ{4IzcWe*JnVg^%m$IuX`Ud$v-(
zzJURF;L}y%7eRr6@D2zNS%j$RXHTC%ApeK9fAw*5AR$vCe6hmleI6#fwKD-&zYUdk
z`G3ghfROCG0OVv0wS9eFSy3@MIx3O^_e3A&zvGd${1t+iF86eI2WrEg|9y7+Utu8-
zR$Qe1Sf;rOqyCvnleM)qSQJ9%ex_PN?k^u7?yeUaoxE=MYZpiaJ#NlcS68_fohhiO
zHcp3y9>I60xPhA5<a%!ujZC~Slrzb)I|!SA%ZibnesuR7N6-B@#c45rYBz-wgM{Sq
zdMoX4u6Fq2n<|SL+r8=Xv0V8nQ+DLxMvvQz>d#Ze{LW<+6|9_`oB{$K%WYrRdcv(|
zDzYhl0&(TzbK4q9@%8mJ8BSHrS1H!2C4Q^l6-}pHrCH2%7*eVM|Ly4ha>;tW?yZo}
zl2vVPPR_;QlGn}IHXa^cb*J%AvdiB;>DQ-Qs05rv#+ki_H=9Y;H5M~U3JRofBH(3i
zZeFU}Of3`tBPM3UBjnO-ys051BxG3d)}kkjNL5v}x3`x<Jfv<TRtrc(vr8~w<<H)q
z-ms7WM<XMnO5;I#Mn*%88n6}q;m5nvVXYdA1YU;%`Th0HO~LbVWwk;MHnuV2N+Kc8
zyYnf%(!9KQUWXk~RDtNIs4>9%tE;Puii*ekLobOiLYKqlOYX43so!6p!^Sdc<<Ls|
zqY$mGt;r{IAJ3SiS<cm1j%0}Orj$_2V0Fjox|*&13Wa7(?ef|G{m7aSM#Sg1{ySoN
zdirx|^CbGkaSzGk&2FiAH7^fOy+Kb{OiYYKII)23`tM(%1WWFxvWJK&ER_W%C7x#^
z5_Yz>0kjMZ44j-7U4fW|>ZQ7^p7%{Ir>~H3mp8GDE3X&b4h39JDEljlHLHVygA0p_
z2KxK?+^@duP8Jh&*K@t~%(7YS3N%S|`DMYGo16PSQbk+)Y0D(sUzUq&7tODp17-6@
z69FayZU0I8IyyQ~h<FFmgoN1Gq5}H*`?m&@YAt41(`Gdq?6?1pWFEFYdN%8p()OKf
z^b1|DM{V@Sk?`1d8CQCo^wR9l)zW0NK0e&`(xeUa_G$ofvDLK|OC#h3uMPkFd?(L;
z{C(}(T~2ODSzf^5>S%@Pee6K0KqK|ug45DMolT}(uG`;qfAMhQ{X8}?#d)A&`xWkh
zf0#6KdyCC(vSgYnDpk(MtAMNSfI;A>PfoI35+({uTN0z9qGDq?trwe^bsEqjMohKq
zzN~BxCZ%~jT+0jHvvY7vOwa)<<sU^OUt_)Wuo0(Mk}xla)eTONiiXCGWK9Ae9QEQ4
zGEw8f#EA?sMDp1Nhh3mpUPsICa)n5Nl);gO04)tL=i%XLblhL%F3EAF$;ise0>a$W
z)pa$lA};<bna7Thin;R*P)-A5;~Y{rARum=2_}RSeCX!~3vPE;$I!DL5-)ZON^q_T
zCaL+`I!pC-CKA3)j{CEfCd0g(uV24@IP`j?$jD7~H3!Pc(ake_nkgPyaR1!}Fr(S^
zyx<;}M?m1dek*m2+v@)2Jd)DodbFu`XS&<~u%8coFoCT{krOjQx76!qI~N#YS?aOA
z7>0%9RbU^W_S@NUlc|ZRTi2gD{T%jZCvI_tMkQrsJ;1$0fJ|f}-f_iRzWZmuND0HG
zKPi^^T&*=tMvKSoq{<<Rjg1YU<|IEK9+P^UIR?+q2J44_>)Bth`o5$@wF^*nzt9i@
zu9C&SXYD?)CdS6nkyQpgC_S-zdlpiWv$fVj_J0+^HKZb|fR2L0u?HH&(sH$m$kKEK
zw4+dkzH&xeL1B60{V6qrMEzX4sK4j^%|w_=zKU{=3|R&^vU(mdS65#2`-j`ZS3c=)
zpCo-kRsGmKh1dn~haBgB&dWaiiTGT(6!Hw$mo=i`jk|fl1*JJkn14e_jaKobU+6f0
zUTOOq8E{O9h=`}Br$kyOCno`UZkGqd%DnDZM?m3*l6ltbtsNYydtNsU_YLxGb2t6`
zDI7_up4rzEPI8Fr;yK7Mb+$d0`=raRXLWxwg3Wu}Fo8q?>sW%55FHI=_7nyJgeLOj
zCo&ReEU3wI$Lc3iQwIr<*YNzvGW>LoHDamAHDU=kmBu0(SHvX>IP}Jox?0G5+K;9U
z!d2DPQAq^d`=aUgXRCvQgYB?Nru4k-6WC158~zLf9jdFVyC??=fzSQrr@Tgj4E0U!
zS#i%>VI4)R!igR8%_bnHK;7IQuD51pX25Rk_-Vq!!_$D}0|wzxaxMu7f$5cx-Rb{_
zO_(6;PRiUV%*|o9l*Y!!F5#RUPY7cP5zoBM@w`8u+S%CwE_yhHuXfSy&~<nb&;@w-
z**gF7XeOzMkjloz#idiShug*P(|oB;TtdQi7pD9`0vin%m(x;<2Owgu+3k`h&0W9z
z!$H%j9E$;d+AF{&cCG)|lzDqrZqS2&&^I_}d1C(;7(rw%-iG{Iv$0>t#hG4L5BIkV
zTpQd4fbHi6m%vF)HGVn<ip?p=(8IU=cTsQnc&#TePqk2Ov8eBtjdmO`4fflt4m;x{
zo>!lM&;grTLbojN>jgbBSk~0<O&}3OScQPy6b*fUvAJ<k*d}wN&TK3vXV?U={XEsv
zdakDU=TGmoy2R}be`JDRHuGSG1$o3=rTl=rs;a8R3v33p7ZinLqJC&2fc6LAer6*w
zXgx0%oS^K^M<4Zu=W^vq$XOF)to$;kg5kyS!NPxJ{&_F+6h5berPfwTsV842i>#-p
z_}1w_JGguF>>4-p7mluTdXAgBmDRy&cW~g}lYSO?DJdI^fq{W!ZX0rRrVnKwJN=M3
zM5}@2d=lCeKB6Vw9HmF#j4LZEKf?$<T&)3XIHNcR%UK8<ldk)5_t`M(9tSM*hq9kp
zSx@#T@pFldT@a9yyQ{VE>fE^64~+eBEHoLwH1Y5@yJ3#~W(V~C<PpVjg?O8CnG7Xs
zR2pw=ZZ6u7$pY)Y<s!(%rCvC(=zcnw=6Pd==~UaYUo!{%CMRI}#s1u!1*b&mAvlJ4
zyJ3Oq&I4e<fVRmdaRTa>L%9}z_w@nRba!`uBc1oSTnNiu^?8Mi|K?*G*iD+p#SDl8
zUNdPX^Sg{1vM#vp76V6D$n{r%R0CMNtq}>5!QS5b-I7MlYV+)|ZMkIbPqlN^n)~zh
zcEAP#>jxZ|p2zt_hc6;g{;Wj}h<db&)l%dxk2+D^NdEWU{&_<sW#uPvv6!jY+uH;F
zr>mzY9FJ{tQp<Xw*^TR35XXbUVRv#LF!yn<au{sQ<P9!}8kp<XBLM*=i%p;Thk<4|
z0sH-Vszd-dWh*NycXxLX!hopmL#4Yw=Nn+|I)ESLvY1v-Q88r42glFva<abC>0hc<
z%Z#hh-P6;0e=!H7bg}G{sHdl=qM{;*jvgQGbLG=g6B4!`upS>STY)cX0Kr&BMh1mM
z*cZaM)YQdNy;dN$)fO|OxAEdRPr>FOUM8({o?XBPV7eRbPWp3Y5-@h45XfD*VQ*w<
z%gxRXaH5ATw~5R4fGsS{%${qZT!cDHNr9UQ*boSJvY>}6u!Ha8nD?hj_44eVnIhmm
z2bqQ3hvLal0xk?iV1z_d5Wz|iv?rJ04FX^AxRQ%L^No#-VS!6+Gcz-BaX$m`CkcYU
z@%(e8j<16^Kp^4@)MIRH?4P4j*40g=lyYr;0KTz3apmde!50Y5K-}UYBW=fIxp-o~
z34K|H^w@x?=SeiG%*Ngr@PONdPrt$tLr7=0?HlH-8iCwdAzI=ys1?Ck!pLz97lAuS
zc|Rfj|Ctz-g=l{P8?u}(Bl};e%+J2QK80M!pDcwo*r@{$r5`R5{ZAqUA>B(y^gt_T
zT-1Hq2-r8$Q?7$fA&x}A$vCd@BA!y}b+B)M3Vn=tCcFdhN}qA1RAkoJwn&O(9fsJ5
zc{N6aX0ck~M7kV}wnnj<n4-SE{=aK4+KnsGBg8Wm^Hu&`V|?xRsY=rlq$KK&jSE(_
zm=S7)8!p<j*S!{;c7*<j1g$d`obS*AXsN0F*6OJFtTi-dU`gEn80J2Q<GG7LEh*7y
zluKZxdZLLG4n*0|tO@gTSC70gcy+J}+IOIL-+3dx7*)<7y?TzmZO=Oodz{q%@rMx)
z85!Al;CF`LZhh8-0Ljv+%!e~ARaNZ%3J@ry%Ta143>sI?$Uwnwc|!MUii+uKg$7Tl
zoMas<erOoME<8NEtc&O=2p?#d$qIgkbN$Dv|DRIVHpVj`co1m~UnR}<JXINE`tFZ{
zj^IJwZK6*JaOg*zuE(N?7Tr=pArGry&2E%~?j?@UeUDF)Y)?5@0Q-~6X_N2EC%<hz
zjWNjGv8YBo+0?lhY`oH<K1LlTMKP#;q6_BvQ)+!BN>^OAbdsf{y-6>8=N_YvqawdF
z5v}p0Y0x(y(Tf<Wi5d7T$uDI{Q-a-n7hGi!*nTL;9{c8!$Yi2Xq-)%r;@$+AtBHiK
z!b_R@$?2ixe?dn@tKYlb-dixdZ65ly)19>=B6X-RFpZY|@*QcwXyQ_q-h+Z1){pjq
zteTHE4r|mp9gh3U9t42S(Zs=%hfEb+F?iRD4wSu(&N?q08OAlrE8&v6IXRQTan#qZ
z8An3ye)~`T%deS%#|coFL{?!<F!YJi=|HD%Nse5~t>a7NXM#h@zA933j~y|O4^iPc
zj6Rws-%uI3ZZ^WUr<K1sfwelJD#$&cE}j+rOtsOGJhh&3J8WIRDV-aXl~yaQ!<YAZ
z@YAgEBp+0_bz)8h@%{RO|8$E^a|lRqArN&?gn*L24VTX0EnOUr_`4^NwIezERyGcs
zJyi!yy(mWQA&ZcOyVlnz5GxX!rag%K{t{=y`RmQvb(W1rCtEi5MdK!&*pPokzyHbJ
zlt975s!@)??kTdm%6qT7eUHgi3BAH4x5;b4OpWsC_;qOR@b%NF{N%(sdY45TG-JWc
zV8_#`Tvz#|R~+LS-)l)d_*aWi&DN#m6(dz_t$nR9(Q!fu6GMQ)Bn_qyWzdzG^i|2X
zbZ@4VRI0`<kWf83{63oJtMRvXY|&D*mv7!Ea23K)GAf(rTRPe17wfJxk)C+pvRUaA
zwZ76+E#*a=cd2M1kDae}*JXVjoX?Jiew;ks82si_G<OBb+ZDB5286U`tvjPeo-NAH
z?ES7O^V!8;dP&WkmyX<+$biO)q=-zj;Uc~ANz$ra{@M+~CC2n2@;#uX92?v8^z;Fe
zSlv1NbWg!LDszl9HUR;_4kL_AB&Ec{&}q~Ew`GA@WTl8R5Bb~_xW3+LQ_yO7{@Z)&
z&kLxcz4if!ysKwLagHSw6bA=%C4I9!2@5nU6IyLx984#^#2qPfHVRD{AnxU7OsCb*
z?^paip2Evq+fg&)o?pQJWg4i8JNkHP_UO)W`hb9ueTtsZwa@!|pI7pE0|SeIWT1_1
z4WaF7ugF1u?R00)=bExtm~J`IOI5)QPD;A2KUkGS<8|xGG>efsmq~(_Uc4)t+lOY2
zm^u^3IeJ!nU?l7j>lTV$E}O9kqt`5)u+<(DAo!v!UCtQG=xh45_2gaGn-J;jf0ZHf
zXVh>avd>6dN=terBeQ6w6&8iZ)X017aM97t)-8hS`Hy&BqzxJu(k*AM*wOM|$F8fN
z%Rwo73y|lot#H`qGmB0gY58s!Ue%XHGjgO@xx3XA#b5*58PMhQNYQdh5@*AAS$R1y
z<$g`y?bkl6(ko=p=)tV2!nf2c6xX~#ckcC?wRkjz#IxapplvdJL3|c8M@u5dNE*$~
za&ga*ufJmCD438kD1#fpxmq*ymedmnWL=pVl2jz&OK@bsuFE>=_LvaA<cFdHgMuzW
ze?({}cvZE93&*kXS8ChDn!z#`s8+Jo<>v8i{p+xllgBf{e#%->a+fX7<9qA_gP2Sj
z-#9@PCg--tv3l#)KGMgAwRywa<9{ZC$|qs`wICOz)P)91L(wA97JX@j&{5>(Zg<y2
zeMNNb15-=2_F|l!CuV2aed96e;=o1ApDh`nN~Gpb#)H4b{?Xu%`Wqz4*1LB>m1a9l
zImr&3G~bF8RF#q9jNBZ_QYpxfi#HDR0y6bl&hB45EUB~YSHdLwQwEcGGI`!HB@D|i
zlA(_<kQ`5iZ;{lE461m^;cHbZ_VR4MmEp0~)@+VQx*IMC4I&4W+#My|9QtJZ=DVD;
z_DoI_@JV~yd;1hhkQV%`g%|EpbT}i6Kg6oyC;b>be<xnk*2R-#`PB$3r6z*O%_qs0
z4xO&s=tOUb4`!TuibYQ?%Rvh!`8(<Cp&n_=z0v;8Jz*oMXHB2yuCgIJCOTb^l3F^U
zP;oS0g1=O+5Jk&PpyjGZ$LXP~i?P{xDTiJ#i3fw{QT6H$vma$JqEJMO#-UL^pa#wI
z=mjz9s;LBKA<fKR)v|*=Qj_P;e#YbTF|gXb)7s+Wtw|S<z@Oo+PZ<f@pA1am_6vya
zq>)r?O1_uN=U~znhGX$0eXQx1^={e<xNnb}L7bJ`^;8c6bpcilv-zut`QoSqX92pP
zs|N&|?LOYILzfJ+UN@Aq+Z*SvR~K>X+vkWZUR_~-hqI_$yj}y60x+CmP|<ASaf2Ek
z=cf)Db#|$L6lfh`e*2{#iGe=@<Fu`iI~ViT2Y<|BaI0Tctj{p3V9|B-EsS<PXG3W5
zoUIY*?L|MVZFcFD3(D=9wav^<;!a9H^f!!SpVIxc!w9DXoXuvImRpjv0w>!h&7@^q
zdKS+MA}L)$t8!_*hvl)Sk}s+Blh8on<s%zlBjz*%-)CplCeo9cV$~dqLD#oELv}me
z^nUBk_iQtpt(sCz1k*H|Z!J{MPp$6#e%L8}{dRkcTHVB5gD^}g=u&W+!fZo6Gyy71
zS6cCSiwAyrpeZwEL+>T1bt8Bztc`d&3e|tEMor%Av*f~<5hU)N+2=s(DSNti6lDhf
zKXkWt`z%pp^pkfsX1eOQ)e2v4F1<Ie-MueE@~WH~D=0^r+af>s1;4XVnz!T@D<#LD
zCRHnUPHo^6=NLY;m^y-ZLgM9yxmnV6x!GI)dDY8{I;wm7r|VWiGQIhFmG2V;5rBdh
zJ|dge`G%}1(z%$78#GEIa0Q;hSY8sW?_a9i^Tx=evx(+kA<%mT6s6`|t!gR%Qj>P~
zn{H?>#X~mpkJurnZ%ja7{+SV>Qtu6Aq@F5z8)$Q<Gj_*QrrK~bhLbQkG)3m5;OeNx
z;t^)HvKm+`SEzZ%Eo8?Vm9RO8SO2*uKd!aNbrq#Xe(I)|lB&$d%`K)jXp6aVx=_-Z
zR(fCe*y_s8r>h?;j4<wfzX!K4mQ<`yEDE6hJA;fqESjm(vltl)tzy;24f+b>D2}88
zz07g!EE_@m8C5%#YkpNG%IwMUnb@?v8{|=45xO+ArC%HAGK^G1ncs7JV`V#R$oZti
z46n-Mj#<_t9oSTxB?E_*It<zwKmAm^(xPF24VMx!ZVdT|yUK&nWw%r<w?!SkVcim>
z&p*sIjIx)md)jh#?3K;YN+)Ktr70<A$kG_!x`y9lVO~IUP$qPgaof`&(~sr3Y4233
zKN)&q>BcWOxLHcDwQ&zq%Dsq3(o+H}lCph++bD@&tzYSO%J++s2BYUC3me!YoH7Xe
z@D=tb3CZfePrvSRqE<WXEFZ<=W&7TxJaie9n`eqteHU1j+0+ls8ZGQ?n!VQDeZ|Y>
zJ<8=89}uP(b%8O8fhUyShZB%2FsaO_a{MB&hxS^u6vHQ{=S_h+2?&IONW8R^v(uIm
zQZo`CA#<%sN(x0EEM%k+^|s!aV60xv)E=QO6h*5kh+$LxV#}B6N@d}kdFyi}VU3OB
zxl`b05{aR5$iLy)B2c46Gl5x)h#1=tyge4<_4jpJ<Yj<aN;=_rld;>+38o1LO~;R@
zJh$@JVTQ1m2-4zDGPnt3aGX3fr@+NfQ|d%WR27e@J0!DfYiJODOL6<0xzGu=TRdBt
z&V|mpkdiL8>s?o^6Q1^UR{zezJNoq1LR!1<twy8^q3u0^p~6dizi`Qg@YREhKUm)p
z`j0M`+GL3tJT8NqJW7>5Nb@p{@um>41th&mtTHFppRF}lp+WHbG#dF^?09&IHPCWO
z+Ijo=hKl0-xHyV}fJYox_+b6+FXbY+4`ttzi$i-tN%CD6$Ku_WY$#v@p3yF+uy}7x
zR5*j@vL>WC)-N=|q$WAm56^&zP8bVxwvJFwQB@oTdL3{|m5K}>SQ6BgN6CY{+C&j!
zs|^>{uc4zF^a-vdT9pZsV`&&^x$!pVom~bh_kLTGUHk=}DHv(zXlf6*bdJNts)C~B
zTxh$U7At?c;?<b0Z>@jcTEq3u%tYLC;9N#LUTH1XNYK&IU=LRfu8X4@^46ZVpdS>B
z?3J~Q#tBIh)Y8!m{~&#nFSXZ3JkJqVe*dkagv{yQ+2;E3x49kWni$c6dn=cdOkKot
z$?i&nSLK~IeOiugaH(&0(j5MU#yem`!cgdBs0yzyR(rQqM4t(Ir}DgvQz-7^aGLU*
zqvEl1P-|M`Ys?A!bMw1-2f_29+qYDLYb9Z5@(~Uc5jY${D&nymSi4rZY*4;b1OH3#
z^;w2MMhV925xHrN^Lx?wK_Ll}OuykoW-a{bk`vBa&C62a%Ek`XJ0fKwy@J<*<ntF*
z?zF>37LQg1TL<U2Do-*r^9E4>5}}_nn#8Z(zkwRzJfP$4;s3~^(khD`J~gvC*y#@Y
zHmz&z0LG#<O^d8Q38QQ6?gH`^dwpl&Ym(<nusU<x*lAa5Ct>BwBeqh5hGYV|&aT}F
zy`}*jH{U3popJhyCFOCFL7L)Ut(4$&Nmp0k`5_T26p;u5{&bE7t}_el)=C<gqj{Rp
zhC(T}tF+0Xt1m@AB-~-A0<mxZM5}l?vk4n6AGXBqkEy!f+qpcB%+4iT6k}y3@H3yj
z&ZY2~8GP`Q-^TM>IgIaH@~})PeycfAd3jVT8!`D<LMT|GqVl#k(4rP`+6&o8llu0^
zl~jois%3a1m4S(Xhu!zl6!*QlZFGRD2;d0F0nrm4cOBO0rFC~Ib`g@Gwqg_~3VAzJ
z(zg%uP9a17qQNXw4)Q_G5vzw3)H(0;nPaaU`*J^emvx}*<Ug24*k%YXCS`&(1CRH7
z_Y;`+LC(3yC77c^phNUKiz;8pO)CB|^{$6F?(O-IgQCPk`P|IIki<D#vF1sw?D46Q
zaAjofpDl9B$n7c_LQzZHhVR*U{6<$w)@cfVAEC44$}J+Ve2W||J!wYVBZ#-Q)l#7u
zdQ>;6Im!s=iUfY*mF%?Mr9kcyIY4v??f7I(k<A(@9r$_My|kg$U+{uhV=_vgO8h+(
zWT6+$f`p%!-e2$-I){&{MKm1Xs~k)v6iN_9Yji;pQFC-&Pcat`#fBA6JZhMx-51z)
z_5O401yjVIG;{KV;!PUQmZT%LS~z8TCU;^=Zx;+mI(%f#3WN^>>^&i|BDYwxG-FB;
zscIwpy4prk&{DWF-F@-oe3id8Up=F?^JMBB;%x5%s!}B5`{6yPT6ICj{M1lIBg$f}
zup-@NM}P0mH>#_&#bei;u(c3{%#3(7ZD#mTqv%4fhH)x20SXgb5i)wW^WU7m1&J&C
zn&cI0%n>@alpMHRb&j=<@(`pGzA~6KGHY=Wy`j^3Fbj4kRnO;SWm=sfPN`>*D9?PA
z%+ReNe!eFI>H|`W^VQv~1vH1ybK+~_iZKKnj!NIZbT0||zXQ?zhXwd5jqTd8pBTV8
zvf!w>@33;8c`C^nCsn7xfb=8&7y&sZpT?LQ1`_ZA)I3H5bMsc=S&K;v92PqBBqzSc
zL&<&Xko4`d>Ih~v5k<8d`cul4^9xXC9?exc`h<cFc5@<jTrk2KLLJ3Raw0#|eU>lg
z+1HSEkL|O%bT4`^b~4z0Mo!TGWlbD>)gj`|q_rNp9`Cd0h`&L4JSyH>)@6Q9%IZ!w
ziqPA6^TIl4JT3b@fy{>wYeXadI|~B7Dtz3t>1Z=~Z10Cp*?*n8JcE#0tPnFn+2=^?
zb4U_eij<o%BglW;!_Cx0S;8i?(#-7kZjE~cOf)VID($Fu)g1BZk&_>!r8b8IDaE3%
zO}USEe7*TRyKPO8lKZT-U?{q3I&JJ36!YQWvntDgKE^8k0f<IbN(DQH<Hyf5-bGbl
zG?Qbvl;17$f7N!F%2W6&dpL=3t{NsYHMh<2mNxV`L|77-2q^P0F1DUjMQ%d2M@H*}
zsP_&`-?Ru-)SZj19CU}cD?9m7jV*puO>x^kve4bCuPO43YvLv~eViqKZ^_WM{6ljC
zNp>+g=g1c3GboAGDAiv4yOSNg{Uj&4m)%`&EDG%>em~5AAIZ8jx{-oYZk1Bmal{o1
zCG@@M8}FYvjpV?nPv$Hi!OHN3$wnJ&iy?*xL)+6F0<=v`Ue>v)J7m`JHN!OquwF)d
zqQi@e@ZhR<zfyWHOCxhnbneuxEtlYyZ_AvZ=DIMP77(!KHMP`XN_YM~s5z`ak81Z2
zdLjhxlwFsA<%ILrs>d8gm`SE7wb2GfM_|%|6&<wqwyI_oXkN;0$j{ix?0?LCc_*ib
ze>}|p^_NYw-!?7;LJr&TNAx=eN`#RtDZ%<Eoh9~L^U`m4$lXH135|KhzM3gnoUek?
zHaJrQ0>+!^4wz}&t~sMm=&I?mqc;R88SCp@(i<a3xs;QX`sT&(T9tRlq8)y$9*Ul$
zK$eRuTVBM~*M;t$FEc$R1jK$a2Tg&1Z!||}=>yM-7ppVrjPQ<&-35P)pe^|Y<aLW+
zghd(^_e-`E`xCqf3A2y8{bJ5MxS-1!I4&hv1vHui!yR7E{unYp_?`Y))w>J{XL?0i
z^>lh)CA^&>3|`Ra|IP$-J{?LE%;WZcA?bsFRCia-j|SLoIf{L%&_RDi#o0@ha}bmA
z3Jtp>FJMXQif9-3i%%OWIgpc06|$MXx{jiOK%B=1<4{6MzOfkY%9r6I)g#DOjiA&U
zk7I31rnc?j)-&8rmr_xQeIo@uvx|cT>-D^H8=K>UM1;Ife-w+knvJt<_r`_A3^Aoz
zD*=C9evwiqRxU~iWZVyim|T^@cxhu!an|W;|2heheBdeF0WqtGY>g15Te^&^s)f*~
zj_l6jA}5C1b5+4ZOYmneI;j}91DX<Iv#3OUw6TuVZO?*sd3K&>Yo=Q|41c1&V94I$
z(wTC)dXQXwN8ZQhXy0>DoaS-UUOlzo4myvpJY@9ryr)BRh?fWXmFqjD1XEr&y^#b~
zP3L{^sjp?8K?1Bmt-d9yuzEGlX0lPg;6Y5x;O}0F;X?}@F~!yQ&-;(%G8W4xrr!No
zR~pd`9g$^|dAE@mTek|$n2L86tE~L~W)hKB-<Eh_Al`g|NDKQ56h9<f;)bP}KL()A
zoZ0e9T^b%#;@~x)E8>j#a;3BwO{T-n38vH=O}nnRA<p<XEH*XGOBgRHm%2K=NeCff
z^ter_#d*0q4}qXRlV5I^_%*DG9iErvwYi8MP}CZ^BC6z&867Uk#+}tWfpN-G;Qnja
zKo#c|dyKdK8r?ntJ^pSMi6?RkM|Q&p29T}5=+^{2{MbgVW$V@J9tpK#slo`9ZWhd3
zHJfoEIYxMtTr}vO&9ItS7`85^Y=~M%V!O@o`(^W$p9DY!KD;^1-!XSW%q-En6y2S)
zq?T)-F3Wud3BU!Jb4wnus>VOoEjG1RAlRYQr;myJG&t<f??_&hBw_tgfstj49_7MZ
zYQNUq|I#-tu5CQF`2vDwqyp{du&>|6xD-!aRCc4SXF19yN9`E9!E%#M*|{g#!}GJM
z9GeTp4cQ#v(tFg?&<N})d%QiVEGXz}OT~wf>Vtf_G(k;a!`<mwP)uJ54OwnJhHZFy
zR&C(O6@QZgSHieliE$#1tXCheWba{=BfAY9l+gw+D@nxcG5c&uq4_yLRtb!3nQP|c
zpfgS|cIA`Z;7Am*S4oNyt8dvWKl&$&oP87iOqDtE<?Qdu{p}?dR<at_qyJui#a;if
zkSnHHc|6x+&B!6<GYGV%Y)?c_RTcD#y+FV3>9w%|8WOQa>cyHHn?IVGnyg#z9YJgA
zl@Hn5x8(q=qMR!?*w<(7{-sKxNaZ+h>&=WLcDVAamrvRcz&=_dyqE=<pusuOI!0+v
zu6Ul8D4FSXjdTYG3R}-0Xba41e_6vUpxp>IP_vM&hUQ<${LM^CW@R)Lr*R@Nmof7*
z`<#XP4i=Jfa(Hgrb#&@_1elqp)#aEy;q{07dUK$COQY>Ovj>4B!}Y^>0$3GjU7gc;
zg062QrCIeX=t;)L##(_k4j<p`c5WKz+dSNT5_~Cv-Y-v?dO<(hl$eEq8vKJRVcM*#
zHuL26cg>hiyurux9T;h?{Ru1^5CvA71<YP8_UOo;`2|_kaMike{7jjMVM5|zXmH{e
zmLu1zU%|1Y>0EYHUu}2bV&mB8$SiJKub}HWdAnR`l7c+>9OC_kY1u$u-}Pc|CLb^?
zg%{Lx>sdB~gMwbO=rT%;ULCKQ48*68m<|}9MpC`!w46Nyjb9d>26i&C_SWUU`U~q0
zdC<v0EItnB`YUm^AFRM36M)do`5SJS;q#eC@|C~WxPmFG2N_oq0Tceril87QXu#vD
zE?c>`?x0sLe(XWr)Q&9*tBzDW_KVJ?Kg(hPL1)%?d$BfCsjwM!GLK^s_BjL^Q^vU5
z6N1NPJb>FX^#mUvX|mmreuu{Ebl|>~;>3z13gt~X_zFwR?RsYV?p=F<YN1vA#_Pv#
znZfqI;+8vpZmf{_v5QKwWess2bHn#YmSZgWjW4_<c>%2YFT*fb(`}=#o{^GQCYhN7
z7ln4sU%9%ZT$PelcfQ8MhbvC6n24)|u;d~mRG$`zH7*RX3f`p+{th{?0bZd*%z1=d
zYIL$#E6{Yl&L-^J{MW7Pe&)uIfQrh>d&Dr_5SGjZcLWsd7J=>%s)d-W1H9u_fXVw)
z<e>kTf`ce1{gC}EJu$X`HsUzbmFvi_^G4K0KlyY=;HM^TRFN`6?;hFSpZ5FHEdiJN
zGkAG{>mQe)sKoq5ioHNHO5jShPEJn;LHWtyP}fWMI90$6Ls3df%EhIgq+L;BVkT~x
z`CUKgGLedOqazz_(}&eCsH_ZkUV0q6v9LQLJL{I1%A0Y?>p5K=J<D}7(s=mW=|qxb
z_c%o4HNEe6m}EIs(&_!x=Xo>*L^vz(2&M%<5CWW2<z;1yYZ)jgG95!o!8%+cbCS%V
zRiXm^Pua1kV@Bz{ws*6Ms`7BnoSoBfkBLy(YRvG)0y&ZD5b85h&6|g$!q&%MQ?EGi
z2aEiPP29Jw0SrvF!xpLO@?VSZ{AN~Xl?XH(xx=C;drjGI(6zMy`e3)Tb@5AM2CZ6Q
zbwS^pm~vt*W6F+n%#lwIcj4wct(Yh$_?-w!sn`w4Yv=FYjQwFOMQVkla0fo^*iw;L
zV(nXhtRwBMF1~<%VI{{PqanH^mYCnCBOd$Zi#M)5mkc8l>2dnclR_i{MOG^W9&sK`
z_?wy0;Iq`$88Q6nC6vP+V($^JTZZnd%($|%vV7M&Nu?qOjWNZ94pW5(mqep_$B#65
zoe6QaI80yzoY8gL_!=yZn@;2M)e1lB*<NF5gSI7THcE8vyEf~_ZUoRVA??Irbn6r;
zty7CH`{5<vVbQVF!$SvpD83tNl+bOq3tbU%f~Itxy9JV%;!*HkTk^_p|Lk>97Tpk`
z$Iz5d;ZZl-W1$W1?RO@!{Uou~H!6lr^npZ}>m))pjNiQ?j!>yc6R)TP)}Ck5ddgnI
zq4|+Fc>|op`pscLranMkdcKe#OOPrJy5?Q9rN~XT$0t3?EZ`tP$CQgB0)}QV2xIN=
zE3ZDkEZtPJN|3qI$ok4gC&}K0Ft*-`%`5kw1Bz<#ah%u5i?xTP6%|V4($dlgBbD-n
zYL?&P-$I1B1CC&HOQ$e_uT#Ow)-@ppkRWHx)qrD;x*8y@R`Ye`D;H8x)ZJZOlr%K3
zo89b)I8k@CD#zrXZ{iir2e*2hR8~pW)~sYtGHbP~07T;(DJ5uz{MQdAY~BPyV&CxP
z!_`j>(9*47?CI%oLwRY!_&V6&Vr+W)L$Mmcj(vx!g9Ar@h1_GOcxDU2bpvgaNY{^h
zCB;*Z%EprSHMxv4w=4V2#_`-yT*s=aF#zTHGFRT?Y=sXr)Qg&TcVqh9&i3qjQZB14
z=LB){)zs7qCd}_dkCS>0D>RFtSR^E+N*oJo$$fp&whO+mNl&0xCd~l*1Embo2iOBm
zP0f8BU*D}s`r*F56N);{ur+O+2Ueu9=uGcKm^fORCWZ8Y&5dTw3E<Y`3*@qP@HJQ}
zwxP2<neY=$4(L}}lj}#XZjjSDAsqzHatwa16;)GlVe?2c)IqU$B5aJyfwXEtDPC9I
zGYiHpm_;L|mxoKI9p7>XscBw5wlsSUx~#YK5U0(RKK>NWbwLsI51s1rLOrJNF~wYo
za<2iPCL0<D;6TqE_ZJ%D0ssIdDl+m8F3b^$#nwaY{Kcp&sp?qq2Vh6gu8B{wQMRP&
z)Za3e1*RAUea?xIp*ekt8Pu#fM9opW5sa8>quI>&p?FhW*HcjF5!x2{90JDxRKbpr
z%kVcExn`rI<$f;{rIco^6%jfziQs(eM<8e3KXH3Ts#E>4-a;+$8hmn>syZmPnEz(s
z4LT8*&Yd2f<@nXkSyD$u{2oO7RHWAL|9%POqZI`5iLwLHnY`g*_OnasaBuJRvJWaD
z=7<JkEZ35IC4kE1j>)F-&m8`@gtP2^iJx`vA5G-_Kcg_%4!n=!I_}@ItBh~ZQpq;M
z?ix#I@wNna&hqc<R;>1CDsNR<PU#$;LCCf22pKjMRaGYdgp5d!k2*BY=-Q9K>Wjtp
zXm)?)u%H%Za%$=WSese5$$2o5gMiaQQc8-BiK%+V!o2zky#kO1)mj&HATffF(vCx|
z^Uac>!D2U!lg?LAzZ{!0G<m5ZX>C8#P(Sh6--LA%$3Z>jv#_;WOXnu5X;eG<Q#7ZO
z2Mc_fwPplA0G^~n^26(+3Pu7XKUad!HSzc%N%(K|p#X(lyX5HxVABAR1F*yZy(pK&
zIk+8SFZl8aYVe|egHUHk@vDdnLIRewNgl!Or-&;~B+Ea4&K-G)f1VFKzk%vy=amSu
zo!{3Sa<=40VyHU-lTNMyR%6nv`q1oJE$?r?H*EuU)DHKA9e~SV^s8{E%jA0#U7U_h
zUL0*&D?<)Coq<K|Qo|BH41P^Z7b(A%aF?fllfWWC{wRPap-D$F5-}N~ZdJZ2EK<}^
z#!%7Gv?&IV{imMMov4^Sraad%C8jDpR?nYz3BTqf;T-g#Oy9FUC|a*JYrbCOpkgL|
zPVkHrAE13m0(f4=R`YEjWE$ua`TiEqwVZ*y;xv1!j;ybIT#EIC82hw6Z+flE*qo6e
z@d80%_~utYgn`WXZ<tiY<GO&C-lpFdC6<|PYdUit=P1>22@Wt$--nPqP^Pw-f+nB$
z=FY2BK}BWrfZY5zym}GUZP(V?)9IPL8t?Vz5HwwdHXrq_OyAhF2g>e^R@H9mc=bDK
z_0-mMX7z;c9yAtSgcXNFF>)~tJWrcT?7$|poEk->$M03rHdW#-5~6&o?=#4O1HZVW
zXPSe!`3&*`+m+-i4&}_rnp`+`oqo9%*Ijm_YrM(_t9zH)cy$#w7J|~TkiR7dUeDfM
zg#*+R8hJUi_SBwF9(tB4Sqe8qU5og4*2dvJxngm~I8EN4`3!=Va#V}Tj~R~BYqDE9
zw-sIXm{qI_Dn4nH6C?&S>PbvOduZXWe`&LYD6aT`!W^18n@i&F5!MLLnC&VN=y>8=
z)EYHnrs4S?#37iQU7L4_O=P6902Bv%dwE!YA9gEaY+xn@-}xp#-;9V)r|r#OT?9x3
zk^`1AH8J0sWnR$-ulbEljpi@w>>ii?R<lQKhEK8+8qxg+liqdp?iG=ly$FnK<%rtS
zW+Pv*KsH)+O^qYALI$&E{TNIF{4~2Ouo__0fJnNyFs!TVHD*bJ>uOfMc{R0y$uo$l
z+LtH{{wU<vBpCwdRX8ZgSSTsxDo@2yG=BOFZ2X2WyT$V6_A!zOboE;8^CK}-0rwFf
z0%cCxA?Y)sz&VnGi;oEnjAaS*4yC;G3=AzFE=H0i4gmiBcyqe1FDN5}?R79u8GzWl
zKuvA)F+svvCJ?BRbyL;RSp+Cw0An9RYfjI>WA&gLQ42)C9%UQ<n$E!85Rn_jY8jKS
zKt=>#++96M;x%&~yzxCDV9~VoZ{wM@L@Lq5%rup*^c&k>1`U~7k(J?H#8wsarzf^s
zf_x?`pAP}lDfbx_RriwTy_eSGw6>~?mEfJ@J}(k6D?eM|c}sJnd<w5w`3DS443?cq
zyYau}cz7DJu{;oO3EJg$Hcq-Wwh3u5?2Z-X0z}15U;)?-nl*L?G4gk;4}U4u+HqZ~
zW+h6FQ4htdX)3wjww5YmZ5R#&8Wjs7if{_b6g$yBuE+HY)vpcR;vd{>#F4}`UHUCp
zl{O!D1vX*QoS0klNL85(AH*=k$=BJQFtHu1zcC?(u%rGJK}|i@(R|q?+wWED%JY^O
zoCUjAz8RB067miqSIeNv<J#;Yvfqt5{_a$<%WkOpuIizcWJaCxn*`A*BJeS-oa
zeF3z~MB5dyMcMe{oQlOaqy3?_8hG$5GWNB}Mi3-6U+~KWW2$7(K2*C&>@)fL=EgNW
z`px+y)7)L^H45GvN-Zlrha8b0I3Gz5Ts;e6Zo_N{s`s@uQ~fvxqJM7%DfwaNyTGl_
zq5Mua1M|ZLi{YIJ2y#;o7lqh*&aOWWPRJf-ISLWv3=ni7Z~|CI%h;TB%olzmA-V+9
z#=gnl+BlyEY{<qd)zf@So2N1*tf$CY&c9m^eBw;1-u$eHRck#rO4>Cy2NOwYIbSz)
z2`mx}5~i(pEpDi^$EVM??e5(ch)_2KbPDxEm=SOl!j4lsSLLyi-CZvczBgOloR{~8
zX6tBMnI`aeuEyVF#Q@y2M38zGUpLg%{kE{G(@sXcCY)}ay8Q_8CVlseq#3J_l$hy9
z5Ce8_XyC+2vC<XFc9)%;h*9^=snuLfCncBd8?Ak>Mx=->v9+gu2cbj5&-b~A4cslM
zF2hW@@*7-vu^z=+cqhl+sRF}JFF?_xg>VPz(mf+y12Pw9+U3kh%DIZmIZvUy>EZAf
zmFRD8aQCU2$36Ha;MK5B`z%%zJW1uWAD5Vua0vp8!5TlW8%#Du<%M{(^1Y^7BF>v&
zQyR6WYjpe*tuZkG65wM9XHEnY*gNsBHVL9`=ERoikM|DN02?vSoY{SH&)I)DXD)<W
zYsrK5b7vvYTi)tvvTRT`oVeM#;d<%700Scm-zoCO<EA9R(Qe-wfcz#B#btZu3LNHs
z5u!lQ&;Ze48?9R1Yu#2bdyRI*NkgG0N&}o)7hg$@I%+@nX4k?gt$}C$ahGY{^h>xL
znlw)t@aumwP<M=p({h2*!$Z)sMU>q>cDvYoJL#^YqjNr;i8^f=n%HIX`^V1`TU5w0
zwtadyv%cI{uJAG7g~pqC%cN|8?gh!hiBpFpPK6Pmg~UEF1FzvO2p*t|?^pZ}9rx$e
zJ~(SeW<^Jj>o(u&*mSEB@#+dgF==#8m#o#VrktBk1Ox<5lS*6X>(|0NI>s_+Ss59o
z_d}&xWRo04S%^pCfoFk%dFgInZpkMDP4!QZs_-xgyQuIS&97)nxx16X<0x%3=AL4G
z`vuglA;NZ3<aF0LN!G2~n{z1#&D%L%Bm%C6ON*`Ag!_LfhsWL5HkESf>W+X4j0;Tm
zKf7=sCt5PCo}CHj@2>b;hX6_UZ-tIPBfBxfhE7u-{R8VwzEk9OH<2GEnPA$71kw1#
z*Ws#O)-=$Gs^ZiXR6ov3U0*O69M&ZtCU1yt0w$wvbEl@=&iBVXd?xJVZdUkYuGd!A
z8f{kA7wZ2-JpxHlL}Yb-OLzNEI;j7!KX-;95i`v6rJU*im|rz|=auAcuE$qXT42&R
z>r|rJ%=_B}xnl$-yCaVlAqlPDsjth&2`utOx>#-Lu`N?QB&p7G0oCpDPE}0}9~0By
zZPNa?9+V@FDH6{C<3oNyW@fAPy!WLkp2{LH%sP;t^}^3cRNb$=Hg93}EnM|Gqsn@1
z64wzutbntHWT=8t37<ov&gp)})a$z%GoM_a_*Z&Y`EHlG%BA&!<zh;6HTwi?rJx-D
z<|m>D)~9n#aqOZ;Q43qbIKSJmr`>-9VCnN?xTQ3aaobg>?vm$oFtYW1hX|5LhIKUZ
z-QXGp@11$lNY9IWFy9FYFusRHIvB~UWs$hLL2Hp~w`RxRyAWsMh6U~oh;^{5=@e--
zV+!N7i61|>-&@#qeFRM2jD4GQPx+R%#tl$;Rd#@n2nbhyfvD#n%)ONiopaj!Uyo;s
zjKpDf1-S22*)JsnMQTVs42BTXoTDweovsj)yq#HIT&Ccjp%<A?U>fhNtaThc&$Zs%
zEg&6rMt95Yo!@2!A;Jbfy~73hb9ZKIMwF{~(?9G5=^(i`g1>-3kvfrx`S-Hp7XRA6
ziz7`TrxtgbP*wIB=Y|NceZs3>R>Bff#OJ^^Z=-wNXtW>pYjAi6Mzo7{aQ~ds&bjeU
z?R1i(bE%@thwG2^72zwi#kOC;slzJ+ZYIMn>w=0{FpDP(Y$PG_k^zymZzU72>;gz$
zLka%FTz2d8xLtsm)qI}?hmguypHX}5ftkLbpH+nQiE}*^gc=}G?8ew(>>vP1kqO8y
zsg?68;jB3cHt($%Ge=C>@kLX_lqF?k8g>sf0H_?FPI?W;(`niH0fhg%BblfVl$=Tq
z4i3txB^4Es0Z{Z5VKU91-l*h$pT^A{w6(Rt(w(t-#90I}+FOj4Y;NU)2@~cqlyqRg
z@d>&74y{Oy0X=`hJX9PL<f$>>nvq8CnD0}1TRTT&l&e<QT{Yp!mNdxNZ(a>LE*K>l
zr*_=tXVaA?@73?N>~L;9X!m$h565yJv!upms}BRbXrJ(W-$>CS<Z{=zOL~WP>!S5F
zLJ<8-zrqOCIj34%J;Gb4w!4UTl{b7^m@&T4PhxwAW~gChMG}6rO1qr2Vy%H&4)BlP
z0lzC4`4DK_Q3yKCt1B3T!3U9)JS__ODvIZvx?Y_~KIyK5s7pL^z2lE1?Q6jxG`ZWY
zINqOgGM{P@wJ2)I$oRHam*@KY`Fpe%63<GN@)J+QBQ=YuK`TX8p-qBB5k<Ukw%lX-
z_07jBBp@ow<2p`4KN1qE?}FtSU)we7Y~v+d3LTjyaqdGEqm8aFm%RAOyyV5MH9|Ra
zWRq%q{E-eP3auq=UqMWfu#OZ#Vk`BP==tyuV`rzqKP6u+o`#j%5TC-uu7LNR3umW`
zt&faMOaS5tBBkfAkcl`gu!hrG|D>>QCrU+?z<)}GK%N0U?Hmz}Wk*UMuFYJ182n4D
zZT?NaT8nEhVkmlQvEPW&jAg&mX#mbX@kzdQr6gsb9w-n+V1vgM&-V@IJii;38doUm
zj8hx0qKUg%kw!gyW4yMg7HI8KQY<!gc1U9P*ggA5{bW$UYYV6jueN4}@gLtBA(VPl
zgEf8oF+V%Y(H(2~u&q^ttO9y+@&Vi@1_1}90vJcJ-+I%B{c7dNO#PX*rv6??xeViu
z-M{PJn=lN_P^#DwS(5zbEUrweFR=bb<M+JXi=KD|Pj(ULu<=Xz<xK2OQ*nFs%T{4-
zdud*socJP{kVM({Dmvq@3fqB~0xxz^U|#Su$MS9+GCWiMn<WMxJ9~qa;=kAb(P?jh
zCi-vH|3~Mo!3_Dor~WbR!PaCMk@B^G;vt28%ohqaQH7v=`fpKTZU%+FcwZ-_v&LuZ
ze&i9nXDKj!6XXmDAOt|6-~Ii!7jxF2=3@N@7XuU1?R<v=%p4UJ6)9}}n;Cc5kK5+u
zi=oXzd+Xpt^kdtcfJtTST-($ZR7Tk6Ba5s-ivU&V?u(;iO}D<;Oofqy!?_<a0T>27
z2LkWU%ke~DUbakn(w<5N8b{tD5i~<$ze>z%wh99I_VT4Wk(iiRFb+#Br5Tv<)GKFv
zo%O%40ASGS_OP`T%n~VPiqGs{#OZm~7ZlKs!#_ds+k|v6^A(QKC@=)9Xv(Edo<ZPP
zv5p*ywCk17zJsx+C6}!f{7}CDd)|fTsQh3i+K4j=^jxraUOdT%cR;`Z^zpcaS*YNT
zG2QPOATKYmj<&#PrNgcoIX;&aVQ2E8U-#*qQJjuA6ioh+y??^?LCkMO$qT32ll}w~
zL&%>YT%G>!3ie|2V#)tq!FGXTeL8P%SANIT(&Dzbk02LEczNgY^5sit*Qq<0Mrzi1
zn(H=rdMIfZckb9^Jpzg*m}--S>;IhshN7M(LZ%Lc4$&|%J8hCFrNlGKSH8lc61%Sk
z(%@Ug8O`XItEi~FpqN8binhBfv*b)7g-e&EcJHl_fks>&o3e7Gi9VHzXGD@@t~$2L
zA_%QX(ZNUw@EEg(9XP;asGMH@F=XYr!4QWR3=E~Hj%%Nc<$UkkD+`Lx0KsondmHT|
zqm-}WtVUl$r{?#`LB;|hE}|>vdR)>l@7m4u4KBX!dsul;okW+y*yQ#GCi;QDC(R<&
z=^-_5!d%_q+n}-CjUgzYG6Z3?dnu6LPH-SMeGT;={<OA&Y|)g+pnmk^xo|AgMDyda
z!j;)xm437AgodY;Cu))D(nlcLW_xgE4}n3Ew_IUTO+OAZO)%Wene^F@xBeU(oS&P(
zqO~Zrr2#h+D2bIKZ?Z#sNTfXW#CPF<{NJ`dI<;M=qR!=UjAzJ4L>W;^a;f%zwwZmD
z>b0ilQ%F=!X?3ad6?ipruo4Y@Br_7(11)TM=W<?Zc}-J8yxnM*hsSo$p<uoYTP%O-
zv<D2ITOIP~?|^yLVKDTAZ$-jp93q$dUP=mHu7!*OP6W*Epqo`|=32u!cbc*zeEX9j
z7X0M%z&M1#bg*3R*tY%C$PpgWD~(u8jEu9lifh1wNA*IXpq^eh;m4cu1$42xD=hwb
zUU+pd{WD?*0zBrORQ3U~S;NduE0XJ-06oH}Nc`QF?4TfoYE2@7U9y3ds&i-E`cnWr
zBsWW|Vv2b`RmK~(GBkZsJbJCjsm6-ayGeen;#V`+))isSiQ#E3p7}H(1p?J?(%I$}
zr@YM4Iu7YC1Nh^+4w}@8HPItzgR--;&mF=4lHhFtvxVk6Kv#jv<$uUvnHZlr57_0-
z2%i{d`k~%bLB5|qdmt9CZNV^5yH3nSlCRS|<@hV{@$<~%i<#Q5mk_i;a7I%(vIISL
zO`usiHCOF)s7o#_D=RB4jquL+>A}k?41Sa5X4LZMyzOtGaduU@?+sx1pLs;=S83R?
z7M6Pzboc4R%zQORhL95jrQ;4GU^Rq8FV<<Sxsbt)qy*!_VF7-qB*Yc#|Ix{vQBTi{
zE1FiY&4Vpal2JQx78fh1uI%3?@2{)RfMns5Tii1|`yOVF8Um#URzuruznXt|Ykl4Q
zs2w&;W0&!Df0A{JhJwP+v2AMkRKov^Mq9#%3>(6Q&M{Gb*)>{<4-5$!>useIan`-a
z&Pf2Z{ANj%XnT7bRq$#VjG9grX;gwi@#yI2(NU$O!5p>1t$_p|7vQ5oAWkUp>>x@W
z3i{*_U6E&cO9AK<U<$GYOf5c#MZv<x1|y89M7;L1Rc7%m{|wKW`*PafX~V)TQV0a=
zNY3HEGUosM*N?;$8OyonenQXZj17w@VIi^*gXMo-uqh@_y6;a7ibax5!RxP<Xb^Jj
z)HVrnUy$;E`d-$z%AoEcQ&ny8iUKz+)mqN37oSCN0D0cDBU~%1dV7U1(}xQO`srYb
z&=ojt{Q5q_2iIWxf-2)+{p$W0>J<gSS}G|nOYS5roQ{8PwId~L3{}46?(!s!DUyy9
zId&SM@cYRNRV87~=iYFB%xCCgCG7Y@clnOzx=Hpq^H(eKwi*tYCQq&g?UQDn60>ZI
z`#TG+R7H*!4&P|^{_<b7&mrij^2-zf8S$;NMY!`0?I86X3tCz|z>_CDSO9+rxsvZR
zccVetMi(lZ*VT`e6)(RjJGRz{xc`jI(EH4r3($`8X$d~RY~CPVThnMMrI7efJ-pJB
z8ws!=?94W2CDfz26LNDR##ME=K)tK)FG?t)BtwfW^A+QqY5#`%66+<@(99hjE4>73
zs-|Vyd}K$yY<iUZTNS-hJ4_I+^RxUu6eUvl?^IvQ{C;>)M`;|M+^((SMoO`=B~Y=s
z3wg;Ncx*1RMe+6WUnZXts@|ms9a5f9`PaVJmGKdB5##-$#>gp+@-<RF{#{CadkRk@
zsUB^Nr5ul1PZm{q(_>sAtoI*L7!n@B8Q)Y1@~3}#0y$!d{g7a|l=>O{^H989gZTMs
z{I8ZYz5k1~w~Wf_i@HZqP_YOLq`RfN6_8Hp6ahs*x?7MIkQNY7kS;;GOB!jA?(S~5
z>p_42_udcp9pjF1pWz45!+FlxXP>>-nrp5(=_1Z6`a`UiQk+m?(Qd0h<hpjxjoTsI
zyQL&BmQA9cW?1^ljK{0DZ*uIn{Z-{jSNf$E^lcSoO@+Ce68|s>2Kb=xTl%Vu%DULy
zcPRWw7QHEo=(Vnq6;?aUwMgi^SwX~OCFOJ5NCqvqn(}GfEIY+X;_k9z`LFf)2kZ;d
z0t0{Mo``yFY&T2@d?y(7%EaG4XKxBJ`8Gg2Yc-f0SNg1&eYNgJKmI+YwtHVi>P1-<
zP!ly580<*N)QX0YhY(-puF>|;_?vVA>kiSQy!rBNv)0wYl?@uE*4(oZm;G^!pVF>2
zm1hlexMO?llzbQI?@pwLPCB=9#XC=X<8@YN@LZ8l(a1JKJQlDcnqI_VzhZSw`-~7L
zLh|2<>~-Y|A`6&^dZSgWll{}B-|n}O@mODZi-|VIQlZ;O90_K(lUh)($oh`e9OvuU
z3iHab=}ilaD~B&P#w+jCGv4|6>X*M<@wGbSdxy=nML`Fw`AT=b{Xigl?ibiz5^nes
z6mRX0ii9FAEF{njBny?!&%etF<hLAsVwP75Jk^dovkobs9qhnd#!GD=bF=tb%jnAp
zfkAHdIjA^PyFwTQr|0$J+6)o0(GcB|i1rD2Z;A+@Yo7d~cHoWfW{JvL2v}3`X*BSS
zEOL?w@Q~FTiD-vjtHUwz?)sp;HLki<9wx<|NI5yV%|=`^40)*HL5WOg3~v+Fagx->
zQI3OMeNZ1e>4mZP!JTJLh@mmXL~B{EwYSwlI}sY%pKwt+oT3*!tJIF`oU$l(w206&
zs-tpre{}1n^X$vM3e#n=X`HjT{Ez2TI*i;lKX5MJ;G_0uHts>~`8}V@_l^2Y?;Xx(
zQTEw;Xv=$|5PbD|c9l^6FsMbIg$28^aZUSqrvLGrVU_U+Q8D7#5P3Wt$vu@jm!1sD
z?dLo`;G3J!V~;--P0#zoD0tfog}-MrP9bqYw&!C-U|@jdJAJ*~7)-vT1=;D|7eas7
z;SBDmFP>ndE3Q76t$F0S(zBG0-npHPtCgBEU?Daco0*@#4SFdZ&CQ0rDS_(QK|w+5
zu$AAJ<qe65AQzV&WKk_K|E3Uk4sGtH$OQJ2SG;v0AYR$XA6bKDe%S4$BqaRd_x${p
zMoV|_?MAoCC(cX{*2g5;L9XMmcPXUU;e>=vt4t}8Pd%?69p)2n$~DkmW#TT}j~^*K
z7^PQ=@jA^6&GXiOwTqM2-mt>jFwMY>xNtYTj8pATzXTJ==^MW*aK*`N7_}Yk$C;^e
z{N5?_tIdX%c|K6!f$$*biA?GaC^}Hee1U@2o{EkO+uNS+NO8x|5D&sQd@jceB6s6t
z-auNft2+fs4_Ls5K~*&%svv$JEEj45^M1nVS<#pxMnoWoVH29%-ZDmpEn>3}_O@)=
zOKL<`k_jF_GU5+xoO*Y413B`WsAwXJ%g-$BO2_rl(tNu6-OVAS@a=!9T%1yS9e{uX
z1g3ouZEDRyasY9eh*g&w_bb460ktAe?OX;1hR%+TF_1t3&5iIMBWBf=KYncb5W0Tm
zb7IGQqFn*fGK9AH!buha#8~QA$u=>?Y*8a^1W*@p`X|VhVxFwn8LuxU<MR+5-bF-q
zzIPUkwu2s{x6bwsoAP6RNU1Jv>&P?_6|OE5jfnifRaC`eHQx?ZP1?5n=SiTnBby?d
zpzX9lcyZWNQNbHQBUdbT>-KGsdvPLh1ks#xkSqGRDqY=r0IEQ6XRUgH&p{ApemPB6
zN=iyn^0r)NP4(u{N5KJxgYu4Xt<{t5)f=apw-D2P@{z?ab^E>&fzLxcn0(wWR_aZ(
zflaKGPH!GNZWHtu=q|dNMcR!!G(pRGH?WYF^*8)s7~x?)5q!fyMI}ej{)OwO%zjSI
z>^`bHOmNgUx!gPSY>!`0*l04Vd2}Hv5AI?l&A*cx&uRr2I&aTxjF0_1;i@K7tM5&V
zAI&HoUaAkN<Om=_g`zD{Vqae$sDdyb-u3k_lW*YW;NUoX<1<-<aV(}M@b%+|x35qm
zRv+MtZWlg2^XR2PoV?k*Hq<OC%auRPM{nYB*-DU5vcXM*xvjl~2E)fT9M2<KnH@vd
z$dsFdeuk>9yOtF`ZKI1zXB#mne-YHfXdy3!s~B%q1o||HPIVYUhE5-%PEZ#R1jz;i
zgE_>gLzh3OaviLVa2$5HyCc>B{ZuN=3K`+})B70P0jSWg02jiMGZaIx{HLI-rMO8}
z-%zu0-0jTiSse1>b&IkoI;)-IwPVaLXCL*4$R!5K-ku71mcDC>yJ)$eX=J+UKfp}t
zWEmW!SQsQiv5^G24>ah&40{}U9e`hhwn)C?#Uu|RI)sQxPcrZ$>V43wcYgB_La+zS
zF|Y4RlRDVX2<2yuZu`Z{G=*lgUwMaEZ3So3F*DE1!(Y!f=P~tDXG<Cpwlc;KPPFv5
zj6aN7H(4d+#d7Lxj89*!Mh}Q}eV_@mKxt$)yXk{kTXwk&inCIMn39&u%rGPNoo`0<
zq`|!TppL_&*GOeGDJdZVnoFm3w;AA?4C+4IgxB<rQhklir@uIXy+jI9&XxIZL2It`
zDp|O-Zynk9BjN)M?x1J*l9Igg^|qP$tsRzSdyrd4-=(25T-_;zwh^$nXgK$t`4j(F
z;k??3Zdjo}N+l>XG!%p;K&wRXu?R!kHc$&#Kt^bg@e1k-u}RWf_p>Q~_fAmbV&!Xi
z!c8OTN;HXhmEC-R|00R^rJlIJXJh7gS^Zt)Kjlt48y$V|)S)<pxzw0X#;4P=Zl1aL
z|LD!p;+d;Wf6<|}(NcJ?ynf0YS594h_z)A+ME1Ib(4PS54!D9qJ~$Y)LdVpqc6Dh9
zCGRl7{qX4Cp>JIpXO*5Yy62JUJLF*m!N9#aEb%SYG6hEcs90@bu|=Qtxr}f)^A{aX
zHJACAKl-nKW2oV6A0t0w!F9O3JW`y?Z0`!ZI*+a_4n}%<83*&D?YUzokWNssnFnnQ
z4%5-JEP-mX3I0LbpmK}7X6E(54|gFpc+OJcL#g}G{{{N3zI)+_I}f3e9t?cLn~9A7
z<4dz<k_y2lKJOW`nWB8DRJp7JH@oY>Te3~<83)(pzI0*8y$c`?n8(Wi%4Vx4D3%ON
zoD^4|Wq*r5@@{Bopdvjr4z9F&!h`jJ>0*)rM*40-e8zJBw-!d}=WguJ2|w&3zEk+#
zlho=bj-N!oUCEqxJ!%cK2+yhwunKS6_EM0|#Mj9TUz5qjy<UB`W>%>F1haCtM{;E_
zH<!>HuHp3blp>e~6jI11w5yzt5Sm6C#}Gk)zL8CFCqjh_$b@u{B+s-Ezmk?ll<0cq
zs_oUP6m<?XE@}3g>Zo+2SnsXFM4Q=D&Ck_^uE2iEM*8e$31V>*ERp2c&B4rsK#%=F
z4aWTvb-RcNCKZ3z7-nk65)WQXOv<p1SZ$4;S_5f6zJIan>FvGPFRtd>YPfG(?gC<c
zZWkvL|MrQe7`JZS0xcZK{Ki4F1{S~uG1W@#i@q1Kl_%@v{r&wy-gn^oWk3ui@c9g&
zH=zI04Otyf6F0`ni+}$FNts<Znh$j8KqwBfKQR!5={K?gemRgvPJmu}KSUx~{m0Aq
zv`|@M2Q?{95c_+R;1c=e3$Mu^#<_JN6O&a?S3El#cXuOtk4`5Z8pCy^5sU7vE0;f?
zd28uKxJmiaIQ4z3<f?MQiA*6Y^*J2-`!On5)MVnJ29M3YcADcKd(pL(pv4M>k_{qP
z1oGG0{E^C8k$WHle-ASl%0#zJNULQsagLu$ldecF4kKol9+Yldl8Fw!@im(4{!gb1
z47I8dl>jB?s7d*t4oq^1S0Ce<)R)KA%$?BP4Vu3`;;a5@q~mkveno-K5r0==ig{-=
zi)dy)LVXVg$q6>wpKoO2kPO}zQ=CnqyK&lYP67cJRLXjiCACJ%t(QQCFA_ux^Uhy{
zlMeRvnLq;Bn<8zq-`Lpb3QBVl@{Uok09e87fiU9YtomYM7&Pr_pr&KrBZkUPws{3)
z@u0syBjZ-bl9{pOQudIffs_N=(3kInV(+GB*|*Rli3QkNrp)bm&aN+`4$WacMaVt8
zzHLKWhnrJB|5KID)Q8SvVG}+1$Q++N3?x-X*5aF*6sG0Y*KegXP(|_R^K_=|>Wk@*
z7z)QJr4hfn%5+m3qa<-!e=zvBRcP5y(V>?d;^sIVOWAA!kIpssWW>i-^ha77(QYaf
zwnSZ^J&l)s#~hv3&DQ^HIz*J<F}&jb4{1RZ%NE85@WD8lC{VNm2{MQ>RH;!X$SSp~
ztrmWR<X)~;`9A24<<r?M_q~NN*jebbizvy|gTMwVn#X{HLR@eHoNRbuZhK&0VL?qi
z*kY!!BbI{!ga?0vidytGNEb0^6s>lB6Cx)k*LFc6BK!QvrkbWsUteD;f!_tlMc+()
z6K;BZJ$(xTG>&`}Jtxht@=!eh$h*Jn{ejk}{+qLGzfobUIm0GsQUK+XI{G$0Xf`Nk
zM)>YJR;p*C*;v&@44J%Edvqb^JYN><xAKEaiXu!Rxo64xoO^O>8QE)qMY_phgU~qj
zj|s;Bww}Geljg7I9Ah(QG_o#g!%oi~^}<9em+>U4qiZJm+j>3J9tDV$-UV3Ep5NZ(
z!$N05XM4M5-m70<pT<9=Kti=zgf}A6!1IWbj#HDvg=D+`+TFH%(37~k8@-~<1JCs(
z_VqzsE6zBM6zVB%6Esbqj#-?bHVeG*=Lt-AW+u?L*DUI3z4B?^lvblHCd%_@-mIYe
z<WP>y;$`Mc;yfsU^QrZIcU-aj1gXOB<P^yvzk6rZPo8BOcDTzBWWT`5Sdmjhee&6J
z|H`x5N{g4+#py@A!|v>Lv!r($2c!bqn;huUf4W)Dc<Y;mXDg_pi*H)ik1bC>UP?a1
z73UP%^`VYow;)I^PZSQQw&2tln6!4+z`tjYSY(kdUgRz7kbT4*GSc)<!Jlbjo5SWJ
zFI~+Exj`87<3(=qy^ynT{nPd(UdsMxYX;@kezj*QangMk&ig3HKTj>*g*PVcKTv6z
zh!Zvtc7KF2lXZF4tK=fR{35;Qf^#{v1J5o9N^KN|W>2ceHupHowVp(_rR1V0H*LOq
ztSp-!_CZ07E^1??Q-C*X9m`doB4DhSS@p*DuRNC!W~71#i<b#K5-OeBe$C)L+!rnj
zzJyu=63RmsGWl~7`@Ny6^aqA*mAp^2E*gF*X)EScslWFhM0$ey_Xgc-{HGI<t!L@u
z7>fL>^Tsve6rHRY2G-sor!I=f1aWO5J-PMYk++1|c&-WcCHInZj66OTu{#i&2urLK
zyArA=H;MoC+EYNJ;De#+w;Zm#Jd1>1p;Q-0a5$W9n-%mnc9Q?V6u*t^m%ZcW`?wGW
zqynNtK?I6|gfi;>hsU0RsDH8mNAxUE>5;?6Qd#{3L!`Kw>)V8q1_h(-#b!q~mK1cF
zKUWHf#QwrlSLtQ?jqL0Ava+^MLe^vsnnoknvd(5w>g&FszblvV9Z)}Vo%uOMSS|UG
z(2IEYfA06CSa$)BjrFOQ<l6H04$B>*KHOd9;t}*O5%X>)BTmoB5(9m_3`X!16*(H$
z{37P13EE{Jd#u~JM_x-1M_ez`#eLy2WpXwA2Ux$zelbd9e6bprb97b=AMeRo+cOjj
zB-*5~>g)O#wk74&NomxdQTH;92{ipSS}W=1w2RP}+X>3$80^ecogc6;2-)bk>EA+n
zg2o?tdG2%TJjG+{;2pv9PS5@@z34ob!^fodNg@=9I05HUPbm$sqH1=PbbRfO<7-%i
z->&(~d|4lms|neOf4$+!{qtZV2WKF#_t@>b0Mg-=e^a=6$XrZy>)lxG@?hZh8>hID
z{A+RE7QPBA4cmvDVG?Tvss#}()a05H8VhstUsx%M%G3hS{bV{muKzlklS9Hl{Ws*N
zdiBIp8$6?ZA5<DUqhgc!`F>A~GYn!FSgeKmNq9Z*n^G+`?Y8eszb6*a${Ap=eTFS8
z?3JwjvEYXLq|o2VF?j<^BKhG&8HB;S3?D0v-PC<(ZHicgTb||F*{sf%^)GzUO4M^q
z*Y`2$jL5n{)-rByb9BA`kFyg263Wetzv8`zwK06Zj}68j-jQ!i^W6J+pnm0U>ge7<
zpX7e-&O1L}d6wb#nyXUrvb%X%E)`b-8m|->{=0{mHsY@Lr`MZu?Ig-a3wx6(&`B8A
zjhfgZUPNtWXO`Fx2Aj~`KV$5CeiG_`@HTiA2>~-bKs=hSr8&6d#-8;HOZ!!+yj-XZ
zJe7R84d$XYLMtZvNuSfoD{@4dFalQsZWbXu!QoH5e4HIhdS>QPGH)bhXl^%%i+J;V
z$5m?~@0&<oZ?wGmQFZE<{$YH&NoQYd*@1qj#M-a9pnK)|u;Qrl^NWlG+3`q0o$Kml
zmIL&aU!rWB`h1Nq(Hh#fC35;P$2M>A=Y2!6!5UDX5>Yy?$m~fW^zykrA%;P((K+|o
zwZM0Nn29%OS$A<{tSi`nF%*jkWwREM2_qTi%&Jmwd0UK3bXc70#CEhdu6~T~65E#%
z);#SzxXZiht5a2PQ6@%`IMe8PgSI*|44O}gcw`kX>|}qj*Pe8r17YaDAq^nL>5Z}*
z={3#iJ~^}IPWS#sv3{E|Bcaz8-3O#lvX6szK5}tX&kK|4lJ6V)&{iL;enOg*{cl#i
zY&5TmC^z^c)qg#SdboOFT5NTe%8)lj`=C^GTQU>Av$*9)W>J7hQ9#ufppstsJ09+Y
z*ahv0Z*k&=J95HO%Z|>h<M56GZ=gn1q`h3|$sFVof5hu&QV~UfboIaAaNCtKxM0_a
zjojU_Ga>i+-Layqjkz#kRd}xzyL3u^m%@=Z&h1p@;l|K`3wuoWMD4H67dFc}v%1I<
zYlGK16<m-uu@n)+M*vV`e`gQ%SNFIkP@bDhl&I3EjLf1S_m<-ekm$BQT)!}CFuI77
zSfA(A`npbBN{c$NSHbJ@!QXd%xx<Web~K*!4~}|DJn<R+7h8-bb135^{p#%v(|>53
zc%+(ugN{@s`0ss@r4xEwYyp1?IVAFrGjlg)rqS(IEJI35H7o1W6*8TvmtD*E%sHCU
zk;`~i!jp<uAIZjjGK8-hCTG08{(`cJG4p(8{Q;eb>}<c5GhQUF@7xyBSImE-e|3H0
zM%={QrZ8y`-b&m+UYe3KdG5U@%I_k&8A~p1DjeCXdaAnEbrcaMHimCf3zJ39#cT*S
zskKNb>P027awx3wIBjQETS@Fu{8|yUw8^)-jg|Z`EB;H2fhs=MoL>2r8p_WI(L%(&
zz-D{&vyvkvKqdNBzLk?^$*6K>-q=9p%h?}E>hFY-M)>Mlr+s5K3i2b!GKNUGe~*90
zX7Ckg`cA=ku%A0()6^JZ>&`4SxzJwaYql`uaKE1#&vRYS{p+*;HlCAC|JNgdWNJwk
zQY9M#GtB$RMbx@O6a$tApPm;T<j-M9dRtUv@Cga4Km4_5hBI~EuBx;!8(Vd1>|`Mz
zop8amUBRujN%urHc)54f7TNyopC7t+>YexcRisTnD(X6Pwi~h%@YrU7DEHT|lcz^J
z?6H9cLyc~_5EV_7Sj+&nmXVn`Gd+F0w}Mc(1R-vA0YqksWU9v8G8YtzQ%e?-HDm3!
z{2<<f1?Rl4AJ>n&^LE(!ne3}qUK1KU-SYNQ93NC0&4V+R?>E)_){MKk?8vsW5FNw8
z&K;yx(#@7@w2{Kn*}801fP6z0oz1n(woK+-!P;4`HPO9m-&$4Yths?%*k>gDsZ(1)
zAs>QQ2+;AkEN3BaV`F2(Yr6UDzT}<Nk>ZVdD7^!KmZMW`%81QvyZSjKWD9gPZCC#=
zadtoj#o%f+<Xmu2SLPwWGqMjvvXw_5GX#}MEzrM&bYiN`3#xKvGK`2j9E}lHYtQAf
z82DlwWs(z!S8vm0vxd(n*S2JQ1NR9>*@VyC-)O?H!Wa!bdJ-*VLKiETLBHzhIqKXQ
z+|L5=!09JSQ!W~Pod;@_CnVNKG4YNqJ@xS;U8U;A3OAa@mWop*hJSzgJyP&?towqX
z2#7ij`6iv(l}*73y8$6~Oj4gRP+YfuVS(`FmxYt+w?I(+s|&D|PsadSr@3xtncGRq
znb}!cbPNmvpq>oKV@S;nMOBJT5ED0>s6yP<aA9V*p$Ts^$Z=|yS*KI^0~6r_awj&N
zz+bP_AnZl_{F`UP8NkQ9yu7N*{sKYCnNO>>Eh(=Qab%iMvLwp1^4Bx}sI60_|I`Zq
z^{g%0xJZ)pUSoj*WqFaP@naJI9u3EXW^}nQ-?YG;eDV8|!r7u*p2L==df18Gl_lMk
zobriS@1`GSs0;@A`sUjpw;eUO7Lj_#4pz>ncD(a;UGnCC?__3%5B1A)!y^t2_Lh82
zr<s=fT$Hl2tAFD6TFovn@bT||h!hqTeWR~`2Zz-Vnj;|TkfzvSs6O4+xi}sK`C^fP
zN78ZJg^*MyQUSWS2U!p3wTfckIMd#4L*XYye1sgFHz#WwJ*z=1I<+@CKAzufoOg~Q
zQad+6zzqaa&-*h~s*jg5L6!FC5d!-{dh&tl_BA#KEV?6#Zwf<+x`pY(1q9t^i6w?^
z36j>amF0iPR>u9;>?mbePYa$qE)39N+Q^ho=ZbHblHVqO!zwHs$$8vI&6i=6HTtkg
zK{P1G_wIE~d7FyF<xf=MWd6zOEz2)KNNuWPabNvG&Q4hM6OHY)-|z0Ob^PW(9=@nL
z{9WD#!kk|<n2iVMRAPE(rM5k9pr0Rgx(zH@3!H8Wff8~=AYPNrVwWyh3%q|vCG3pJ
zBmV%HEV9C&X`IW4;<a!D$s1-j&@!BFBRKo+kLnh){%GejHCg|OfXz@VKd$)8d3ESr
zuSk}2J}uV{zvuaOUPAd7gC(7NGx%d%4@I-5GfziCxf4Z_R<;IZ-X<(o*^L>XPUzFu
zgl}cb8aop9-u>OXA24WbZLrbLjDK(LoyTq*QC#FK(s-n=oRjTEYRIaV#kq5B(}gDH
zmwo$n&`J+8ID*buTZ0YhVaQs+0${k%IJMglfV%7G1gFEsxmp$Wc`|<h{6IjI(7T$}
zzYHz)Hwf%s0_t&Y>iQ>O^W+W4?1H$Ta38dJahHeR&VeHm6G@=Gb>t=D0UF-SxHfYz
zrv^nG+g!2$(Tx3OGP{A3H~P6!J!)2-VfDted00xElJ^zGh5K4-csYGJjA9BkHN#l9
zrOoPad^i=GIJRxvu$vZrdDV8bmWG#q-NV!hn=3?H`eFZ~hoH@<F=Mt{=Aimon%UZ$
zi(N94ll?58)YlXg6dd?C4`fnVXlVm{0ep`S3qw@QzI?%pG;rEo+-fEb9(8y#){2Ve
zqc@PH22#YNi7<`9oZ+)n%9k%+V5w_pY^(yLO9B*Cg9XkHW7v#+srdP;U?qc_20R%)
z>L61O{0ff~8jS+fjrY}#do-9^yb0mqif>e6+20v8+2dZ$V`9oM=d|r|?|i!`y~eYC
zkGw5x^aw5qBb999(Z^P{K}(x%nfvoGu6S;uAwlRSHWoaYIcIv&Ql){mbymWaoD4nh
zIlY7Yw`tk8zN!|tjfu5aE0r0j3rXLvJQozUKG$@W?|vvtBJz~;hnv~gk(tubQO(T$
zR>pQ{U%HNlcUXIa5Y}lk0JbufvvB~I0*Ps|r4-2-FDz}<VpA<^YXnLKO?e2v1CX&-
zR#5>F;wssMgeYRfo&_v|UYI0+K&U7x;_*2aWM!F*mDybPoa*41Kq&op=@_;>oZ{OA
zd`MWI5qmkxyl=@GugNdbkUiD~HD?XB4A?)itH)k4s?tRQ$zZ<vQ)CNpOHAU=k&%l@
z4!2Qp0)8cajJuKmi9P?%q1Amt6nh!!>N_3sT3Xr8(WS}Z5+V`Ldfghx)VQ^6e^3hi
z2*J(-0E2xD*F}qFyTU;w3(M#N>On+rYVIpp*xc|ZU>Pj1D?2KBO+L@sq>`T%Hs@#c
zb3IO@JbV8I9RsT-&KYal#Sk&CG4u88FmTKW^^MWo%t|gb&+FQmtgG{=DQwUHR+w-D
zW4p(-+Xzi!fVDtgzaTMj8nNTe5MDsDMFt3mL;XwXCcoV}0s-<hgoXb;g_JqIFmxh9
z>)755U_P+Yy9CX!0|p34>EJ%FcK{vY2PhiRcfXc8F-=l&V|>aS19PILi?~o-y0D7L
z{^8%LqcUy5twp01)`GrdWtHM2d2T33O26~grU*N_Y+^t2v2C{cMLz$&kaQmwjaE<-
z!2ffW8L)zg5VUQ~^anNx267xYSKdNnoii;Y6UPaBeX_p>GSWSUtnY>k96$&jq`B2d
z9H9+d)2;v(bV>OKCjd{`A6LHZrAY1NGVJ;~JXB7Cu#^CIi4Wzo^qAwwx%y*w$HHDP
z+X7H3Wd05(kb;e^@Z2`3yP5G$Q>jipDKNmYJ_hPydmE6R639(bZ4i$O!lT{24VVo;
znfd$ZZTU|%vN^UVxlJerC+anJxU(!`ct1W6H~(SFr)OTS5=!Q+%j<w_^F7s@w%A9G
zJjz^6%kJzQpZwZJqRQj_TpBHr%B=Bf+YIZZIigC@*38@Gv=f=h>3TEMR|oHzLF3O{
z?Zs*51*}MY<9mp{dyS&3vNA`gpCd{{m>`63uNxRII0CP2ZP_uE6crI}7U$aW3)h}f
z(a=c9${sY)qB=d{c&}4pt}EUmJ;#^eyxnpI`MSLghG(sy@avyyk#pRHCb1n9{)x1W
zBa_39d&`9mJM+gQEX>T-+*;1g6)NvckG{yjvPwn*Bej3`itOi(*Qvda9il|LpgY{)
zdm1pZR`$M`%9Ma_NF-THW-g{&Y`;-<dO9&lr8eOQ16PuWZbN-FcJATM+b(0=nk;_M
zm^ix6D$KrAw&=i}&1N{=zkacE*-*QjmX=0={_0brWe%aqTZ6&4kMr)Xto`b-S`@E*
zxBHB=lY(FS`qCI2XG*7`p5pD@^G^2*G;X?1nx2!E_BGZ_;e*#YpX1rCT+W$>Ri<e0
z$kj1|&eCOvgXR9r-#H+Yj(g|&&mrfjx@!gjE&3#hB`KzYR69h#K7<dhf3354RHRdJ
zIgI$>>-ctwj3fwygvn5!K?84`R_p0q5=)zSr+?ErRkyOlE@jTTLm<gt$*#-h?YYHi
zbGyife^qWwKzgOT_^n)t-59NcW?|t3E)j;Gb`w@-ufp?<6+z;|abIDe(ul-qaAi-(
zo4wl;Uy9FZUy&e9(Ud}m3O6E1mIQQUi4!w2D3oOt9Z|68REapU+%C>togeCE&+XUb
zYL@07-GJT*C=G*1KGX-Ao14=rX(=gvd}067EDou-b-7c2GESDsv5a)Omu_I=_*;PV
zhLb3I+3WIEhbPB1Ocr@w%ez093GVg2#M*r*uD$kvP~M{an%PgIiSn*Eeu14xCa3*e
z*MkwA!So^RiGn4TyWWpj1*t(`L!;RA=;-L$H5<tln0HhzOCZ0mQbZ+bu>lSOTY5Be
zi%_XtxR`&Q7&(HxfrZyZU5HU+I+h{zLeV#|#O1`61c%G=yICz_i^Z_Sx6$JJxcYUY
zm6en<Te?XkP^?7smv@!o2=Q2RZ_Ee|ASC72j&8q6y4`xD@#=GjIQskeN=JeH!?3`n
zJA_P@+d{oK!8iGne~dy15FxHl4+aaw2oj-6539qre$b4il~qLY3@)=l>w};f*V8Rg
z@&%7Z5&NsM!k{+4;BXE>Ev-t9;;nAA?1AdjIR+?3^{?!KSIa)vWy<m_Gos8UgFU;2
z@owhY+sy@xQDGa2=hF>jHWIzx-jn4M+)a(}JHOv>I#wgM@Kwqk-7bvaOWCB?#L}3O
z_Di+>+Lm7JqYlE)NGf={wP5Ok*kBbDwilCvBcmp;FY@7?0~z`N-*{NbR030>awBlI
z+bbLno)zGgRPK$-i5GMim%XHC4=Om|kCWgF%y)#H&tML<wzBemu-mB~WFWPU7P?>O
z(7u^{fKGe*Yscw^6=dSUyxYF{$xt$_22UZaT54+Q+mGl}%dFo*r!WvOftw*IDY<4_
zuAc2W7ooBoZn{nL_nuA7N7I(`X~McDc{PHjyqhMnU!Q4CF?a{##vKZlCe4=TKe1#<
z32<uAN@nrXHU6BExju%9_Uht<j~Dkf+uSosQoYr$Plbx#ogHs}I|JE%E6!E%mh6)Q
zLhFsn`@?o=<tc)b!0RjV@1d^zoCwnJ6f_#ZdESRDxx@q7w>Zqkoxv0bD9&$z9SwEo
z^sKB3*E4R+F}I5|37n05@D6|ygBv6|(b3VJygO15*GN(H{tCcavpoUsU{fG&>IWc4
zl$4bnCk696uI4qxJFS=Q?pg=UK(6Py)I&b^<GmYt-E+u$LdmH6Q;n_OrL#nO`aTcD
ziHM0QgSZza!6PgzFxdHs&GZVc#FVzj;qMCYE%{Zy9l6Y5-m(wLNb<2$Qpuw3mK}Lo
z7_#-g^0I#9l<?3QcZ2Ipj=%}`pz_NK)n9y^p}qvu8k(sVl8^4+=W%IlUt)Rf{o`&Z
zS?O_)mZrwC$~RnoXM1h!aRk8wd}iwEo*Dc()eGihHy+61HulKqU*2081WTJ7?aE^)
z!vUjuYikQ^Y$|~?lOlcMU<<|s5Fy2IS<Qpv4!na=QBmLy0^R(uMsNZr3exiHlOjH}
zDf{|no4H_Up>w_+1(D5N8==$o!jE5|*M!-Uzn<B$V^;mSOzxoGW3B|~&v|Y6gcQmi
zKR$lx1PcO|(#Vj2prER2Q6ZVx4cgYVF*>gqiX@dEW(G~oj4W{{FZHOQUnh2|`l#u`
zBf*a2B|#YfN2>hJOxvO0*k|)hfhKF+=)m9CS8{%}_FQCq{=GaorpyW92W;DrlhlLR
z)%CUSNW>2!`Tly!*^n6zQy32)&&h?-Jse@sDb^|UWuwcJceciT=i~jlqPW|ZF~&2l
zCShRo(d?=VN)vC=6ss`4>ii2IRqfpSKdKkMO#LWQnR$&Th(!FiNN}hYvesiU^B!j_
z<!0=gcCPHc7Gym)%*>4PH1okU?ISiyWPbmuNN4Fzys@wD@g7HSAKC|{VKwpA{6sFr
zojKf?{7lS!o<^1MV9ru)fVt0G*Ks7<&(>Hl76s`83W9QiR6`CxU(wd5kwk02J1)ZC
zm6Ga8#ksoTWA$^qZf4TEAE0$o19k!VVd?#!E%}!|6uB`GZVpSmrQ0!PYr`PVmpb!%
zOq2Kxk0t!X!KiA89=0<Iq<?7G*OJ%eqjLK>82St6t!7PR(m~UvI8@_o8BtpKb4rBo
z7X9Wlw=Kqq3Rf2=ITMH?-jbJl$}3rB)2H_cdvCnqyGQ!ixJg6p?B?2<*Rp9A9hvW(
zdJD~uijctKA64x=2k(Q@@FP8t4ITbbDL#=&Hc8)z)x`Ks&1ESqfELi1_VcW0@rvK_
z09Q)A((l*|huG3ZybkxaWtrAskqq0tV72c?gbb0z_axZzJ6h5*OFk%6751QoOi3OM
zR8>(-5Ify4jQ)3axl;QvI_%gW(y~`i3YvylO~wi-0qcO<V!s*jFsP?eMlvWXefl0v
zsd9YQkzz|>#;m%-#IoSyI(VFhe*fnz=416@(X$FCg#ZPa9yD%l(P3TOy;)0Zv|u)-
znnHNb-u+Sfk`mKpWsD?VI^Uka1k)I2$Vv0oD{)7+fLDuLY}dPx3*`Pmg1!cvot|7N
zd1l?eLMfBxH4>@39~qStHBVeor@8YN{UqWu-sJsL)5M-XIJDZx>LWF)ah^?~o;4NL
zU3;U;<KJxiI^evl*1AQe@GB#%k2(;A?64eJL)IFrbJ+LQV{Y=+RGhV`gQHoiKDvB6
z_eW@dVO=B<D+|E0a);<S9!C@Omv3$DyPWc&oJAS!^PfLAJ$o!3NV!=Ro%U*DKBNk{
z!1^%!vWSF%IYz*fcs^}z(~x<u9QT-=pf}RMbSKN-=}qL)AJrm;``v;;rNzodF6Gr5
zXbsG}SuswEUKL10cP2eA*`0#I4}OURo7m(A^>RG;^i|?mq)s*Hts};Y9*uIp;vL!D
z4>2y%^)_aVlyBB2KVz|SjNMuM#S~ZBIkjRvWF@SnHg6h#Rv2?q9z@uYWP~qhUxVR@
zcpuzxr<MHlLMalm_#JCQ83xqv$kZG4-gPMx*_-F3RZeJR-eDWnS$!q6(qbVjn_g-i
zNt`I6zRvS>n4%fW6$iKTp3R$RKN?%}%6MmQ!}u7N4hlyln&8r-Em|B?B4x)Ls6zjq
zn`?@$4f3mvMJ$$rK6#UePw1Fnsi3tnZfx5&ujiuBZp*e7i&~aelQoETpc!Cmk0&pS
zeX}v&LiHk=&PrJP&i($)p|bq;t9K7n$_>qk+}~h7wH1(!CyhyZ9a4$>ftu{!vSe{5
zA@S{CyXWr9XmWLWjqqSUOFz0c;g&nS33|sIUBQHHa&$BDMttFV=ile}Z6!*lrTw@?
z!)t$rIoJjetznRD&A+jE72VWl!a%o!hEeoy9;4inwB~6VC2%L$2%_7$aaV<`g)3B(
z_`YmkjP7-FDOMq2R?!Zb7kQ$>OEFUH(f6>I>zU%zI-wz2P}1w~+C!vSXb@d=cQ;Lx
z#TrZ58`+ocQ0%hY0eV+g{#`z>l#u?-G$gP)`HLJwJa+xxW&D3RRL~GCWj^YD1}~qC
zmO#OO&jIOK=lWM1<22l-VEfjS{P{DsH)K>?7SqCMvB(@#LYK62m>3%2n)XVEv$RV-
zgma;{ND`^=IVuD=^mutHbkbs2VPgQVFS$5;93WNyxHM+?X6lvTm$>MN;gCyjh-eE$
zFiRj$*(M?pFnCHT9!e%|kL*H$>alVKO6%gG!ou+5{BiZ_aXl*kCxgd2CNW9-Hfhdj
zo<Owfl68At7fg4X(3O}@M^vEFNm!Uod20lDy7)$kg<abCG22qXQ`0`kA%IV_1zar1
zJE@yfugd}fhDa?EA59cxqRNsx?l7lI3e(vEC9r-<?%cr>m@e#K@&FLQH&YSp`y!YZ
zaxv(Gx-3(K{yKmmyo}FDN%5{@e~&eOqI$Rxb$9Jy@kUr%MqegY2#r1U2w;g|oB0c<
zb)dR}degb>0}8)8ws-fEH8>C5LTuMd)-h5PBt1rjV9a!xfTgEfaK|BRZ%oBXfNuNx
zXEgL}#cAiF|7Ai%l2Jp9)pz%%igKpXQ3lS#hspid%frZCeU_q#G`M?RC=K^sj^^OE
z+Lv91td}Ru$WX}aKlGXY854sucP=j_1r8Uth8=*{;_JIm&yXJC%Go2f?@BsfP3dJ|
ze1!G-TB^A4Zl=yzt060h+kI>4tOL}AABclOK4=k<k&O)v-;<NaoHi=Kj8Pa+IAfo8
z0K?3+Mu4p)4Ff}PU?8+>EJ8H_{tveq3v;S&Lmiz#V$DacxUSQvI<eWw=BYPF*PEPT
zdc=c9{Ivw_4At!A4gz(lc;A6FyTa(~X7Kw!V2@1d(B$^PqA&#$f7cpuBDg@3(b5_N
zxdl**POsZoIJc}g@xZh0QiKRhzxI}ToAjCIW@n*9fN&#Aj?ymcwtQ-Ty43{mk&rM%
zTHqH~Wxb>Txhe$DKyb!-qW<86%7YL&ugeV|iO7D|LvnlQHi6eLeov0)`*(LSF%d{Q
z1o5&mGOiHJ;siTSd0_!2iG`1U1`eKJ!HEwQ2}nQyd4gaTns|e0SNm0Tw0^#p20|Xh
zz?$;%7Q2hxfH?s;{rHYIf_Vh-@D<mmn79AMM@Y4#aoigs=Hp!S=F&$kVY2*cYHFq6
zTKM6^hv#*WP87fTbqgW8wD#fVea#WDRsuqkrT~KP20WYvPE)XM13IVOJ7C^8zJ0p{
z_Gkw{;~8}2wnzK#E1v4_rZ}4@)fji2uK;Ea3^}lRmE*Z-x6;N?{Xis7Hi17dbpk*`
zcoTpIlo3}+%gn;!2mECr2`19bM~;8V3P>JQ^xSf_<FwS&(EyrDNwovzI`+=*jt=rf
zFs5Q9h>VMq76!XNK=E>_qZS;VV)*;}11-+w?N;{Pf6JBN=8s~V9g>n_tXlrha25v#
zpeweGfOo9^kNihUVJlS7=YLNgAbI!*F+J6`V0`rwl@GBAAqj3W#wiSGYw_Od&loEA
zxmLggMIquuP?qFNjsyletrHmf#f64$PX{p22+&A&(qta6JyUyZUF&hpvi|sBgRn;B
zVQJUjLLL%^;^|H>_k1ONo8`>P<knA0mYaD`4Z#}EZ)9z5ZVu7+7C{Jrm83Ap<d~fr
zN^l)RxPJ80Pf++DTLl^}Z5!53E7AksY^?rpJ$=D)bu84w!{c~t25fFy#{mgdixfCs
zB%NylcU>#IsMy%ph=~4XCh$<Jvls<r7xL+S!Qu;L=nlBNL!v*2M;G<gr=01d!G7};
z25A@PI9pFupZ&fKj6heg+4Q4gVcCH+G>S}oXx*F>P`ycsL7=@cyPZ3e!~jwb4xx0g
zcA|ozEl`gI9?@%J?-q%o{<m)s*L1qd?R4B2y^wl2oQ%<iff<I;Hs+S<*uj$_@PsIv
zyYH^G9<Wn^GshAw1-Y4@pC42m*1<#-o_AmRiwK-Of5_4VfaORLwv^XI5D*-UaD@f?
zQ$+PGJe(E0{h<2bvq}Det^IGnj)ZzQMa#H<W4>o&K9nki=u-+g#adzd|CSLMF_3mz
zi~@ZVY=28F=UQQ$;F+W=W&pz*5}_bM0aq}nC3e243lpn=vng4x{CnKO>{Z;M(CFE3
z?VC)aoXC%#jnN}U)!ltcby{6wKRz;&qRo=@N*IN74C`Bku%^dsM&K=-gcHnVzxmY%
z_x-0Dp#V#@s?+K^vwd+VBePSE>|m_>+S9Hqo^50#EYZ^Wc@M+Vh^2jF5WOz2-Ch-&
z{FdAd@9c7WRyghQ`ls|znsb%IjyKbk5sGSbI;14tpU0&Vs7DJPYo_=s5*uD#50aqy
zH(&e$R3$~W&ZCmp)i_^ll4#$>@Gq(Q8^UB^UuYL9=;@qmn2O~12^%6W14E<_*YDXI
zV)A1|YJ~;hjE-&Ii@s)A%eo*GHP`mu5N!6~BiQyHh2WVik*?>VSEp?5r?v#F_=xm8
zX57pFMVf-p^n-T1bH0B@jMWFdp6&~=37X)zN9kqFYBsgnE*;dW<Zi4Omj@H=$~B-p
z+bGi<J@qt+sCumIs?s8!S*V#-$w%WSyPn-kKB;g?AaLLGCa_24tENN6vZC3mGwlsr
ztsF2sj#2owd9u9itg$0|8LxwXsn{g(ZqH|#4&J(Ot6*t9o+yil<(V&bWl~nS1~Q&G
zv2^~u&%Xz9Gvb#sk2$+Kj>H79bn-5^>SX5}PUB_1tPi)pyg*bH7<myO{S7QE@LQWc
zqGV(IRjI5}LDr0Q@Y&$|-xv=g9`QgKL!34VY_rTd@h#8j(Mi`R@+L1nhPq!{_<N_P
zMDKkby(hO#HyRpS#WqVwduYA2uN>dR1FfTGnU#EhoBRcviQoG~K9fDJPFG$OTj>bX
zk65+2<|G>U`NEB2$0oH{7W9bVgGx-c+2t`SPMJO1?`ZZ>&7i<aJ1WX<z&C0?CKtc(
zr38ZN55d`O#9`rGHf9MVZI&{bLRE1&`CYDShJj|C2<kDMh#7H&Ve`t?W<%G05Uw-7
zUcZRXQbzqk>fcxp<t|K!r!b=Yyeo1m8^L57TSwoM9klNbUp^Ql)WGY?ou)&e=Lpzo
zR9u{vs;VJ#G%F5bXY#r8c)JD}9elxxWx3qWPk~PiuGCQMzz4!76kni#$_beIQSGEC
zesn>ORPj}=i4jWr(z9YW?nC)Eda{HvMjU=<KhxOF`FRoTl2D^ItjoP|4sjL$5@!nn
z7Y?xPfu3T}4A8GZ)V2D2FBjaT=V9aBOUQ>Z7Ep98pd<uRps+JiguNZi(Lx*(Oeiqk
z{&KTCwd9S9y>ej2F-QFy6(b23p7gN~>b95P)YapqbCm)0YFj=umMp*tFZOcXz*SKf
zq7i_{eEs|YYdY;sIG?p1FW^-Lel$>nMdT}h*9x(~4wR#uVI2ipt1TzqM#WB0x8W`q
z_ElYygGs*CKaF~d-!rPa8#N{fPOpZn){B$ZMu9{b;)C+ykbDzXL%?Vp0k(oMOuX|M
zP+(|chgvi<=0hwjLLgPxp2Dq7S#tyP9xSi{eGfkbmuH|*sMAG4gx$LE5)~!#PjW`}
zct_A%Dx#q2`7PPfF&i3s9-i(f|J{nntto_13w&xHxZZRImOV&ho~@l7>vN(&XW(Bh
zz+OOLAbBFRd6cpHCziNfxRT%qxboJYe)+z|D_}axNdkV*!Dh7>oR0qL-;NjYUB#VJ
zgx1z@dUzY8&z@JF-CS2OL5^Bq5lW~^sb1}0!j81w(p9_j_Z2jy#{68oXw5x11H#A9
zpG~q1&XjRKpn>U9oEFMb&^BFMiy=ps_o8$O{-n;mSeUb7ABt)Je&^+lMQVwgB|iA&
zLdVs|vJbGQ(!0Z4ovd4aOqcueE~^BKEB&O|{oCRpD2c^&(-~wFpvZs?byEJEKnXM6
z&K*#|wV4Kj#EieZrDd*%F~oYw$)>HTE&0G%r}F2oPKy)|H4S$TGvMmV&B0B!OR^>*
zi54RZG5xZRZ@Y!wV`rN`=;q&i%j~Xt*YD9KFFm*A*A>}YGe3F5x`gmUCqn4jp4uam
zeqQ1J*et8og(w4Q`nbMd`4O#u^qd?E%0!syIwKwwii6*_?f%%<y8B`g->m32(#m^v
z4KomjEo0x&>|eFf2;ENw#wut=Se`YugCAwkc6+v^)M{a10_Z3v>>36J$r}t=20upt
zrj32T%^A75aiM<lv7v;4$nBTh;dFC*RB#nfzM-a&=u1`qb>acek8DBih56K%*~ot>
zh&>SPoq@poxc(Zy73Z^qVon9v2jTOf?4d4QfsP4@_jVw+VK_-|$<Ec{pv_ohodha>
z02bFF6#;*9x4lfA{_$jI+)0On1L{5_Hq6p<1*nD)a|mM>_3hg|d5e2%k;Dc+#8pF4
zv}MiU_tI>MYiP>D^}n8vg7&B<1oq;gk@Q-}6Bp+k^z`dsxhuEaQ%<E;OoVEhkg2~a
zQRraiX$;UJ0kkHZt%1zaD>db0%b)XVs$m9d4pFL+bDZ=ao;(&O<rpc>p1dfEI7!(z
zKmKjGz*U#K{;-LKS7?l?j8846W&f6%HRB!99r=&!A=cSy6yFbWAx$Ks-lh-!Y7y9V
z`^W}+0FgJAe#4FGBAfG+62@!FGa(zjkACwh2DW$YjiEO=)jrUrP`_k7O(<bia!#<#
ztK-IMJV~XK?BVcyvs|~{8<DF(@Qdhn$DKg!3%!2`DM2Ktc#UsE#~d0q<JbL1<W3Wn
zPIk~Wp<!03<g{7wtYrZn2wj^E{~z{P=_9j+)}zW>IoaUS3*C{q)qKD*$?T^o+#>bs
zT~d5b3$j4PW@3!L6jtv!UPwDqindnC{BrEEd&O<{x~%V}gdu+7K3ls9J5Sv2=5k(-
zM$=+i&)ov`?7vB$61awga4?$7>q7Mi%r@>gnap?Qf*7p74Ou}r6dxZS!K5F&gI1}%
zQIvXxS6)pGREm=l6Q7NJG6$iLh{x|BwX9uDkgE!q{w=vPWKslO`3Rq9u-1P4lZ%_X
z3|3)iQvA$gN6-C5Jv=hDCMrDq0c-%{uL{+TFR1*d6E02{ptwaf<OEUh3gP$vsi;|6
zTCQoqLePq=GQ6S0SU{!TgQn}_UG_H+(JrI!6+k&wPTaY7QyBbZ!jeR}mhV?wVS@+`
zR!c4}E@8y?Buhp?IT5}9GN^@KS%I-qE6Vk}B0NOZv((an)Ja5M6Y2!8?u4&aLK13P
z56|rD;L4LnZ4d!6Gcy})DA0F-{j`dbL$1f)MLK5g#ryNg@54%R46VEAf(bWS15!n3
zZb>X0n7N&d00RR$A#B&w4Vufy#NoNcvAp>WGzD;|-CZx=xSoVR`ToZjs$|7%V`e8x
zlAsw-RFDydf?0ND#Rn??ODp>jQqkkT1R<o!@@mxG?T(@H0O4KP_XJjQa?2}b;}y}q
z+75FM2R~Rv8bBy~1Wh}b-5?t8(T%z(1zU*3zAKQJD1O@g0?6DUUI6YN@cxKr*2<ZC
z3~onl@W$>rp3Sy|xu7BHfI!mx<?1(X!H)U!#rNtmh97G>68M48^D;Ozo+OHH^fI~=
zstwZ7%*pV0pcYO|{T7H$xt06F5T&ntfE;}fwmg%|hF=*83CGFzH-H<5`5DV1)38)%
z5jQk0&SkRZ3JEA7SD%b+EZ_Ku&tnU$lpMkr3JOqd`T^(<XyL%g$tfs6_<nfJwov`7
zl{UAJdTdsS@$w4Y86I(oZxfkBhrPCXK=_CG1o`?MP`K)Z=3CI9mv=gWXXtAPTXZ1@
zH(n4>tS;p$rh#C%yQIe)4YLWjefMy2PkJO7sC7Mvc)@TSswTt;5nM<-bjqx$LCq5o
z04S6NJbH3#k=Fm^R8&nlCmvd{ooD#f&xNok)3CAGKxY)CY&;!3J+vr4W_r~Csq(1u
z_np60F{BzEFJ}BbG8f7W;$aH;*Du>vtM>*p^cp`NolIQBLz@)z%|cNN%88(%V+m9W
zD7e{#u7Q0zBDU!6?naQ2K*>Iw90?Dt2|>Iluip8ed|%*j(i0{o4K9RG7vNW4aWo%`
z=;~tBeI}@*`2AKjiYxR5LvLDPapy7!57XvW-1B{TIe<tEcsq1XDtLG8uL@YsHp704
z=!8d9{dAnx*bGQJcc4+{qQlG;m@pbDv#`G?XQ@6Fh8dh4_Z}p<p~b1xwZi#m8`Odz
zZGuW%IE|kF|AXnle$Rg5!vx;n@Y$VFnVtiGM&m~=bOHwi1Q@76FSv}XEQB*2M9xQZ
zQHVK@zdskH<Dd8kEW;anH=w7CEABURb@%@se+YS@u=QdWF>qxLR4iyws|o%)@1uo|
zFZ(6#Y%`RgXoRRrDkvya!9c);CHU&AokM0G4@?Hc9e`iK>!OAK!-RPG|Hg#axLx{?
z=)XiVaeSO?vl5xd@EGdFhyn65?9Wh=07B-SdT2g^W~<H^wiR@@!}>2=R?{;xe$D#K
znDUyM_c<PdG^`($0OC{q4Lf<4&;GX1-#!~8k2FfjG2XT*CE*!lo-5~*wVuF;T{wc?
z(Sf1l*_}rL<dl@6Lr`uN5{3r!K*HXaj2PX(%bE4w+nAWRV3>d8{$KuHqOIicU>{rd
z-PLmMFFonwoSFR@yo)2n447+(^7<i=yt-sFyWYF~t1cj+=4|2d4fI*hpVOV?zHxA6
zvECSu^F?`z=q``b%K23d49{=8pLrdan=DF8O931T#ItG*r^ahKJDdsL3%=R$uVjTp
zw0QnK@yOZp<`8xe)G^-GXfWwFe*!`zW;al-G~brewI#Tn9|3qED-7YUjHKj?BEV-6
zOgxIj_V#vAZq*Dm&GK3JUtk66{~N5ZiS_8)e{eGjzT|E-&2aiRA5Q<Hw_hs!4Ot}<
z(w12EI&qPQZ$+M+?sP&J0yB-!e)9e2&!1ua0`cqicB!Q9KVV-00N;1pQ)m!}+W2ec
zXaJv}RScw_Mgg^hqu~e|w&jP283o!;P$q`5>LWrzFmtaV7V-u`YbIFrpzW+Fm=L{A
zGC(Zt*(FsQw3RE>js>NK6=}i*!y8ZpL{@+>3`k5ASa<+>myqBFeQ%44i-5KPBCrI$
z@$xi1rNA}(-zv4S^S5R=O<~f(-T}+R9IS2I+uMpXN=8P@AWHz(AYd`w@UpsD4ASw-
zx0|Rh)T4W1{1Y_Aa*W&0K<Ko|=-TrgWb>tsm`xA}#PdKS-g%gI1g0o;e+w>vTKxEL
zQbBp=zxj`Ziu@lwk5q^BuQLX`K>mL|bOW08mMJbTz9!oj-3A${u0Bss)YhbvJH%<!
zFl*WYdQAIt>)n`ir^8E14&^xRULI_E6Rs}iWuEH!>9~du`kLK4Oq8kZxqv7Jozd;R
z6v_ncPa#a~A382mSa%H+DC#x-S=;x@<=2rjA6V0l?KnP9m?%=G1J%HnpK$-~f5kWe
zBN?`fW}Xko?Q8SQpO&6Z7W_?eP1WH0a1<4-4Hkm3rM>+U4~Js<pBnys`lGEdJ6R1o
z*Eh(-x5>8u<dOFGrwA7R`%Qz(-;^_NtQV7iz~uk;NnO1qvU*i4(jc`L7$`zx7y|c2
z<Q<4mpUqa54S!TpioX#R5#hLJit0fmuApE2{t7v&$G@_Le<EEQqD}$SD|CG|w0C-S
zfY2dg(7l5$Xcgr&zq1VK%5?P~l<*bqf|0eHrl&89NBmG#_(!=v)!c~eT`B-;Zc~x3
zs2-CN^Q585sXM%?$qG(;<;qnnqMLJ=tiUJztn+{*7}0?1GA}WVkLFW9g^Kthx;E%j
z1Pr}=ENG?cO+Fnhm-A&gzzsd(BP0b*^kS1!1MmNqAXfJNrv!l$_#9D!0N<Uyj+<YB
zBTOh@+Ylz^t$VzOyLmBGzVU<V_nz70fk~>ThnPII?X|$WYz@8-pZclF<qbBFJ(soI
z#r`F1!epeqN0wJidOc6L&zFxXGEGcT(S()u`O=Tox*~^*&l5vJX}52e6HRp5<XC|U
zIg3@NK3<7kyaNHPvGEuO*p5d?BnJjc+x#?M1iTm+U4G4%$xYv%r9KtlD&Yh+0^jwI
zU!RI)X$8W;1Qsi@dwzMn>AAoTa^Q^zur=>~dage6<AXgP_(7G9-IjY#2{KDDGFVGk
zY)SSa6ltE&(UFk=Vdk5h;g7TV*;$MbLHES#IJYX0(dFpPHmdH_E8^9=jI1slX-E7g
zwV3hj3c6g*>kf^>!#i1=-o&r4Ur&F3>@EHm|HGjJ2gHZbdo82$9a=O&(YyxAE9`4`
zLNE2IkXSXTCa=)EGBPSN+PmH<vk_6MNcF(=v}F{Nv<Zik_VR@>beF3^R;=skF*@=m
zeB_EhoGfX#_LUCg)6a!`%*Ju%1*}UfE(P6?(sV%4p@p#>nC*daVm9H?6}3UA$m~}Y
zgLFTSZyYS0xe}7Jc65Y@NinuFAWrTs&kM07VEEA1QSEeK`uw@KpPx9ejeUTR1d*wo
zYY-(|zmlGTS2rlvLvPq?F>yyRe2b^|&pt{kh4#F+SnaUCvDL(;7xS2>kb8M+rU`-~
zJvCEis!%a9$RnU$1s{zf6E2tIg4EPh3zjS;&<?-6vzI8Ttnw}oH*)2?wEHz(TdJJv
zt4fnfE5*-d1b_M9Dhe2i>8+xykR&TmW1xC?dcv|94=OZKZB|xR7dr_Te};#vfH1_!
z_#-W?`486s3GcrUfU)3g*+o(@K=qX*gF@)G=$<#$u5;W=WTB5!R+(*I;^JVViDf&{
zLBA#`*#>JYq#Jj!8Hvcr=OE93{D<Y0ci}DBe-({8H1U-?*+$~g{pADldm)v}W7j2@
zAofO7RLspW{Df_7Z6Wo5B*nz<GjI!`OaZxJO@F@<Nr<Yty6wie%ieN7NEeZlXlZI<
zdzad8y|T32hPV?b+Y}FOA?hsiIXYF&aFh1D+7Rh3B{MNG-KkeqQ?qc&D=MPbt~5pj
z5x;*2`4R}YYC0~#X7@Y@Z)tTEv~AZ`S0PQS0<zSb&UmF6GHk3{e*-Nf&tvUE3F!=p
zdiIQS9sapNTV|RFBiK{U&(ER$MoUAp4C`H6KIDLa-fQRUi*Gf5`t<4A?MIrGjuE=p
zva+23`b|I|3_@?|;_P5&dt1Wn2+B>s)f%dFDpt=fDk>T<Y;~os0jAQ#M1sK(R3IX?
z%k-MiNN%B_v9qvb9tvW66O%vyIURV*>lOGXLB$3NGSpO5o12?I^72Z7xdyCcVD2gg
zhP_0*4VN?H4rQRr!_3kgNqzdc=b4>@w)}{g{`PGvYinNHRaGd@L3#k`9SNwWc66v@
zscr$K>Mf%G#{t-%>54I-p^z)Y#>B*Y`LepQf=ftPZP=aIqoEB{S%4Jb@%KV=&!zB%
zsx}&-+bI(!wE2i;D`S~~#R!-4AtPo7sLo6$9YO&OdMMf$KL!WOZtWvbJQ9++y1G~J
zkC3Or)Rv9sZRzZUIK$n?N0d#*!(s~ma2Szg0J}@?jeI>T&Rq^>l!Q(!KjB81)G7t4
z2Z%K_1e+)1804#IAKW6jhl=v-TNh#>yXEC!pe7Zd`i>?-B3<!bh#b`e)J@vL7+CTE
zv|tD~dO;IG6XEYGOoExv$$?nEbajanI-3yxL-jy&jQml618+SaX?sfx)1NA%t|$AQ
z{yd#n2b4}bq_?sv^})I%Pq+R$e}dcL<`hJIZ%3LwJ`RIM7kJeH36eRHID)Pi$*lG1
zX-f#*VFV$#LKyfoXf?OAECEY?xZ1vye%)YuZ|_}q;xEYGAU(f&^=iQyr2n*Zbf9K$
z3@kkwPJhtd=;S~7=nGS5u*}BzofAxX$Z&lZL7$ZR{8fb*8K_-kjEghUpBBmo;Njx~
z82W#4_9oC+wr{)mLj#G-6$;6eIgv8QlZ1o}WekZ3r3|5v5~YER$ymyip~#RiAqgom
zWQtH`ndf~xs{MW6e|`V`?X~aqTkH3}FP`VVulu^r;W&=-JnLgKrpG=~BjCFrWy5~|
zmI71CU8_^zuIJfCccPvt-}GeOmg#u8Ta}tmi$9y*@|5Rzp4Em0E*CQ{Ig+$-WX#I=
z)<UUs65q(O7AM{IISJ{52b<nFChTja?(p50!eC5;9ilA|YHDg)vDrZL!i8~U0C>J#
zp=!0YwfQQEI#&?wu}L{VhiE7ge(6hoKt&Ip1W_4??yX&KL2fyFnpX5qfO2ACV0ekn
zF+Ce(o4tyAs>X1*K1S??jdHnokrXiB7QG!9sGHiv&d$yp-lZqEN#zE4@m45l>s$6T
z-fn4WIj*oA;twhi8T9Gl%W*!^$Somj46s3J4dPndMf#KCVInb&)VC41w^!&jezMcs
zqof@BJ6V@k7RN}GBkAwZLZ%6jgTD=6duD|_8@OI_-ud90U8cc&J$0A7e2hQ1W%Ojw
zaZgs{L}O>Do!c!(@cqbLo;`aOmY)n?$simp?fhBpA+khBF{fbO@M}o;h?gh(Yv<<N
z_U(Js-QE5BD+B`wNu`|!LyC%)kv!U;KYv@a$aRdJej4$5kBPyr|73v5&(+!)U3suS
zB3bEz<QZ#gMs48KxUTFKkHq-2moKrj@V)EStsAI|{)S}6&dzSMf>BB;x3N)oH0NcH
zS|FdnUJ8m^-rn9g+rynjQ68GF*5t)9F6Xa&`<^n3sywN4pSb~5A^GGX&x@Z<d+|cB
zGiQ{q?B}QYHN6v|^a8k|sJ&JiH}qL!=X~9Ya~@GQ3ww4JUO7LH33D1miY+_dfBZO%
zd>cTIJgTN-WMoD%>5)fC22)FgbU;UYGEA7C-{0Rq?)PGSs&2|AM&28@Ze403p<e1$
zu=2rMEO~xjV+h=W;mxGW`@7h?k9}Ur>OWLhY<8+I+xDthp!~)*F{phB13Ei-{5aH9
zRo~avz6d&l3YedxqcJd9fb8h$gJNUHzJLGT*QY0~lc+=LO2ox=J+%`J<hA-YVo*T9
zPmsb%ZY2e=>z^o-{q>|;<@395O~|Jlc*gU^DXaTiTiqFy%6Q7J_SZ(?a3>!KW)l(<
z7JflogwwGVVDU508yJys8SY-F4?ox#q?1fdMJ0{ekBTN4`VAX5{+?fgVFr4qmuc2<
z{CWe%@T@(S7{6ac&fDojOIdvz3af@#d1X&)=Ex7{zj?C=O5+gm(4j+!C%!*R{Bh>Y
z85jdWZtfe4B<%o^3D%N@r8<Y7i9`(}0&D6f5-^mIIe>VJmZSJ$uOE?%1cL++5_Jv&
za)jbtE!C9^!CS9i*Oo0?I!nA1qzuTz=f9WV%IPa0y<dbyYd5w1(SsXZo4)#On)R5J
zr(<F>E?n1}rIy+6J>JZ#!B~FgC2AcpTkuC;A4&k5Dl4A>6G4p;9Ky}$=nf!kW9|9n
zHxWeAuu7=D(7(TZ?_0bVh{Tcbox<4yHxwNmZ6^>3PMDfQ{;^;@Bm^ezOGpcCM%iv)
z6O&3uUxxr4-g@5*<w|HM2n%!JLgtGX_UL>En!@tjxr6vdhrk7a==D#^`KPq30HIND
z-n=`3;h_X!yH18_QQpv}y1KfSe8qA}n@^k$*B>L%WtG`xlLxhOQ?8>K7a{|37m-gF
z@D!3_Vh{Wcvu(_WjRzw;Wyd;Y9a*YBw-^ZMNG3k}8W_J?**`fCEHd`M#U5BLlAgG`
zY+bz8&mTXS=;*o!2A)TUMw>^FDgX_01Y~8GP~!^Z00<r_4ab4RZ5#Q{e*{i~lv7u8
z^@>CP6|Uf#K1A1-y%8s`JW=JAzR;}*6N-QUYVO|NUf2RzIXRGC3`|T<X}(NwZ{PVu
z?%LWbA`p71XlX&nd%{L>$a~u0zIR;yBe5iS7g)f^=+^bRmNNbgU6L5Dq4Ebw?<qq=
zd5@X2sm<fwu76{L(g=7iNr;`>+uLE8xC~#O*_1LX{%?yCEODENpFHKenwp#e9GhL8
z4$az^@+778raXiZ7<!3GT~s&U;-^rrAk|6XyoRD19691;fQ`0isd9vN?fMR=!xK#=
zVQ#VR{-gvPrh9gFR&-3kK~3!g`cS%~S>)1^r=8spR9qy=r*PMWR3>VguUL4zPgV|&
zSOg&9;e1=~;9#SwZ!eDUrOB5Ahbo*YB?YCVW<k4x$if8_5jlx0`xx9WbK3Pgbb%Yf
z85<9@uOl1G8)O=naUESkg%AR;m0V^&7HnRWUE?!rjCr`Z&p=<Ld;XJGk{$djNz8tA
zYXDI#F?jKQh1f@+4M*;>>T#_AKZf?&*YHJ{DmQEjfII_!CaxfUZtka`V;9yd`yxn9
zg-g=)2uDndNM!N6r6nUP>tIihjs>&vEv;U-dK7sW7AE#6m|mp6p4IJiz0KQ$Q*oz3
zANe&zlmI(~E(NX8$Sv44>Z0h`J9}6~1;zyN9m=^H0p=v?04T%p?<n#J_b&$Fio<!%
zcNKaggbNzUx(kbo$0NlL3vI1A^HSL8wQ-?aLu2D*WF*jJHEs6uLx66L-7+~dLmI}`
zmh0%~;2`p_8hZa?9BXtX!l_xo9#)FiV!J;?XRCa9?Si5TIY?ww)EjWgR4Z;3hbb$s
z*KD%gH0nceHg0+rgrpCznjM`O?z1bPffhVLn5fz4=%^+U-HH+4ci;%tKHrohDkdhz
z$ywUb(ed$Pp#OUEL(oK#&`Sh5j18fJ2Dd3VWZmFqu~hDG<Q7>G{u;-Qk!p(h`1m3<
z^m|0i5>MN_KW}fJ>)5pdXn6W(gYS@-qpfWlXm#+wj18pTWN<7!6M0+W_fHKqJ67Cg
zMpvbYnVEhEZ|2hfdh1kk*q7UwnCKdS7Qs`^AoREgsGFPn2TY})ep>hBJVFytj-+iF
zeZK4yqQ~ZQ`AJEt-;(rGSLb?ZxsXp=ZddsxLPwdmvJF5?x~Z7Ng|lbRBEC=jCgVK#
z?yBJGV3VNz?sR1_Y2zEGh4LQ9iImFGmGY<Pm&VGt-t))fK+E>AciGV-UMtUSq6eD+
zA%=~_BT{WD2tijGYpTjPE&dq!t7^oGsw|I{rF;$E-3j-0%7ppPPEBzqU^&iOS?TTG
z9%lg^V_SXRma?B0{%o@X!mJ|UNs=Mi>d%JVTnIi<-!EL0?X|jsn{~Nx;q)mN#BJcZ
z(<673ZGWos3t_90vNF<o*xr4oO9>-fqkEDRIWu3q63hzo^;MpTNZGh9WRJYOyp&Y9
z`F2`b+W+p^_S1S|bJ6RGeZl+RDPmSU+}k^e2n}c7koO@rlt$N%GH=8^xk%|o?qi1{
zHlm`W#EQ37!ZL7)OG$}#uDgvHyl)34Q4Fdp@IpmQ@tjk>C-x(;5vX~O6o>Jx)0guo
z%T8W6c*q3D$y-}@WRvV{chTH>r$jhbFdG3L7u}(NgL2{1ZaFcDAl1gFM;Q^L1gR2<
zu-YU~rJ*6jUS2!QLl?3<LYtc~6Fq<a{p8+%S^$9!>q6r6Q%Twe9CElZPpBR%wtbg|
zFZ#2a2FYP-0uyYHcOyrIl4}v=Cu-%0)zG36@H|S1j35p%H;+FOeEI+cvaMN`6tnZ-
zq2Rn%kRvH8DS>Wih*zdakA72~qMIU~TiOwqUv@Z^m0Ihu%9B$i*Oq}SpR>2$$;$fS
zu6oAJA-cdV+jec=EW($x`2y{FvD+!k<DgL9Ant&DLUNE-UHRb)P-%d>0AIl@f$_Ny
zGy7TecoNI5UAxf6K)4g_+G0uC<BzBL_@09?SmQkrk9Llgtj5?44Du)Iet3C4;F=c9
zt8I=U+li*rHk_C9x8x5l!>!|ufyohC?%$HG{OL%jgI{0Se_alfpI5J54Nw&c=a9af
z^!c>4^#A~7IMgtIv6M4ACt$xzRy0Mz4GKSiyf{uo+f1PvCt<j8;!~Yu<d^E}pC=|>
z<jC&R54|4mlQbobe1KGzuc1M0P$UKZYD(q8&g=3i7xxL#{MW^h^O>ET+=tz%mWX`h
zvFsJ6U)ua?7cO5e#NqNLTQ}NOl5r$h%Mv%E-=r6!#zTLxE70kYl%s>Kt-!--{J0C|
zq^Ar^!NY~UVjp`)V1x2H?FnZb`sNo#uG52h>F%H+uSA;XZ8^lzl*bb0_t)=i$fF?N
zez+;7G%7L@^;IohU0uljAf7Bpvv73u0>cJCyWkD!G7vl}#u{dYiY>%y&dyEO%*qEQ
zF&^VE5hPoqd>9{Bj^Wk*k1SjZu-4gk^{6&>tGr0fcISgbq3GsXZ&}v2-kA(WSVcRB
zJjNeVL^o*m(74y;mPBgEix(pZs!;NXE2Th2ED-R@r%#{o&MxfRzz~F*Hj;!WR1lAG
zl(<_Zke^)vBcy#4$C1B)@x0i3?|t8I?51M(=?{&K5&(+Y%04}~*t7_YM&L!~!T+y`
zDYv}sMX{0QE8-$j_cxLwg&z?Kx07Jy>Y1F!Z3$_YGB$vf{+eNyp`Xgb5P%TR-Q8VV
zJ4lrq@tF26pSToK2mp8jN(eO~S5VT&cpC~tmRElN=n;lNuS8)lNu}9t9jaDQ#Fi1Q
zo`}??%X9MBgxg=!y1$#9QmbkrUm-l+=T&B=O=n>~L`8-#^aVmOzlbYH0?&(>8tLN1
z@81GNYQRPS0hwxPJwTj_86M{54am&BRwiR{QXBSdXH5g$XjbSJ<lktUlOW{a;DCcB
zSWK0!oOIDCe+kV&+IgNwPpEp(8=g8vv*SRfo2-bE*j8grEjFCYq~7trBn2UkJ*ka<
zirMlM?qn-7vmTwLot=@d#~)oA!G_Z|&KnJZ+i_@d6xrq6pN^b6!7e-gCwCwuZM?d9
z4$r!b%JgoP;J<(6ZJ1y{=7l(o1Q#rxx3l|(dxsMbJLn?uH+KA~oI!pKup+6{oz#>B
z^^nS(N!3z=f50Mw;+^O9AK-qt699bH$0~3%$^7|C-4tMA)a9g(0Pd-8^76!}%a17-
ze_Kqkn@TCj-!-%_Gh(za|L?an3c{1SFV5IsxNrgShMk9*JM%aOOCVZQOMLn4<)1IJ
zIS^u7FsC?O#W-ztFiq+3v9t)0^d%p5PrDP9Ey+IVkk^Jhc<||kk<>b-ad+o<1iJ_5
zO^QA9{eu5~0KY?G3ZH#&hIC5aoZ>S7v4_9)FUe^a{YtY~I)3wrgTA<el!OMp8m~7i
zHy2zlrS0FSxWhzMOO#S{LGYGvk*fZ?6*t3)UY3tdG(5lbO22*khG73KT3B{<c_Bc8
zy^{>xy7p+LZv>`aoSmNF%6XO$u{$f}ge&#zj+Os61T&}iBjPvo4R`^FLMi?Nn(|s<
zZe&e3xsP{MFMbqmiUDlpVu7KddcTU=k+kviCjnGo2zZJ&A0Hp@ly4mF+qA3*J`5hZ
z%VSJ#^XAQ2Cx?IhKz=3(p&`T?BxxFLxfm9nD1nv){Usk{be4a~T=vX$=zw7x8yJ{H
zkW&|{(DmiZD->~h%9j+*xt^U;SbJRW!PbR0I@+h~>lp0s>n~iUQ@xQBg~|pfpAAo*
z+)m%x(gHeg0+AMwPh4;%(B?F&_}#d%<G=+)uAl=44!F6yKYRWh*ry;i02fyed<Aq3
zJg+?gRNR+e;77miva+(aHp3@-7TGpiTU&d1t-@#^k-P-fk0)%jCCk?zh;{A9kGFGC
zih30zf8ZGo{{+$syWoy!3~W7Is;=jIX?9hBqCh3FRo?ebpkBe=(h{KDHRNCjp|GK{
zG292e9Z;((5Aah{Qxk~?PI^8we5J`n@}{c60Yt@^i6PN4`e!o_<^+1)t^a+!xaRUg
z*Uj~M_5=G!;%}!l_%!16USOE*?T`H-kxsXlMSoOSS>2S?#E?gi28V{!iKLbb6ZWrd
z8m{}lvzUlG<Qx3(VSXh7G$#&3*#7+D;yP>`%*=<0NX#pw>Rz4)jY8zwm4Lwc)w{|K
z<cAa$74`MEHqQ;jdI5r?Zvdcm+cAEs__D$S#NYJV2&ZBcywdH31Oxz*0c|UIoroBV
zI0YCtE9ZEI$dniIKgcjIjJ6-NzoW=0mij>c&7X8XX>3%kIn%0e-t_gG`lg)7%|(d5
z0NMlWK+r-)M%Ffi_R*fR9j?T8%L>-;5D<n7cYbfHsOSUJLGD8uQDEy_tsDLLF{01@
z{{G5k8*6I=Q`X|*Vie=JEiXtKRNEn{&dAKnL{b5`dr#JFY-l&Pyt{X4W-WnmzCPco
zL`1=bn!0-GT#~cw1H?fL4e(r1l6KGTG6fL94h$4;6O%0}_=H?=0lSUZ2)_Y<9U80B
zuU}vLG5mQPHwr7}pT@<ER%)qq{|TQ&k0OCAe(XeW*67{(KrONTiyN1YKqz+L8|--$
zlk_<qta(Y~-g*b!4ZwvXvo`YF3`nIfCf49~RWAVSeaH@xm{pV<0nSqoKzm9674f1I
zH%KnMqeJfC!FhC?#-F@!yI-(_ayDrdpdcc55Y9m&6guCg1iJGbkD&jKN8bl#M#hJ%
zYJW(r?r1BWP}jClGj2oPoILHU#9MN>LHig5^hK7Y<*sRJm0?*;~M*#8VDpL+J?
z!N#Mr8ZhmZMem@q@BjHzl?ba1WL;|CzRg><i0rI)HWmd{g_IDM<kImv!MI)@V5*jQ
zyLb(kTwF$*Gh%Z|mn+W82J)*_!KwR;T$X<KsdGWD&+wO$BbZ3!zIc1*qwsmVT<`k2
zI^F~TxVU~>fc_)hE3h7`vu8JM+(@dO!S49_^{Z0+1AhPtD5VZnvkG7q+^La%;6Ede
z9uqwk#O#0AW8^oOX3>nj(1~2%`Rf`d&H-9v!Mp_p1+^z#BQ~N%8mj(<jq^V7TNRp)
zm0l{M#JntH<?27@v#_`A-~_9YSiw}FwSVEa5Sem=yWI<w^-)q8*L}YH|ALa~KY0=$
zv|>Hl-+NzyHvw=>mXMK_79BnPp}whDz67jhNb|{wZ4`Rabgr(m$b!yVTXz*+xwO16
z4ZRhH6ag$bs;a8mbU$O`&*^BN@NfeFbsNl@BrX6lNi4a!ChzrTZOpMV7*RbtO@2Q<
zfP+%%v92!buP;7bX<4TA#)5s{zaJtZ>3AXW8+0G>$H<6@#n*AvB4PblkDi5ctzCT>
zQYeHdwe|J0<Kz5}d3jK3ggAIk{iLTy?3I4KNViuJxibtp_$4%XFC^jOfF_X_A&u(~
z6W17-37#|JT}YD!d<iMaD6&`7oFwus`=Tce;ty7tHQBwlYb$~+oJ8AUp_H>Hx0Ov3
zr>EcDR*7)5t^GK`+~mRw<k&ddrUA`?a02$h*ims+SnQ<_W$(U<Iqs67m{vlPX`odS
ztU=zkM(f%~dZr{)D_rQ5j^~ayXj%fF<fABtPBT<92?IV*oY84JIHYUv?vs?{;TpZ`
zG<w*#?U@1DSa0tu2&{0%N$OEqx6F^>bgX&s7d8NzD(lwPwtHttSlG-+ZWpV}ox$$C
zQ?-;6DNha?u!pC8KgH$uzT#f4Q(#M5_E(M(1lV2>k>jA#Qc<;GL!r1UJHrJ{&UQe^
z&BJ2_RA4QKl(hRwR3Tm1&<sIJ@su<)G@Caw-l+h7D;Zo5&Y}eP1PoHDu0Q}$-2Cm0
z-&~iRoOm@NGQsWubLT1m1O#9uzy_kB_8a4U4a<uC=<^3O0T6=StvDnhh`G5Fkndaq
zKnzTD5V$g4G4S36b}uW~iTmtwZNN;hAy$D@0aas_wAIBSMe<^tAgFW^U*BwffBK#l
zztG;?Kao(Qzq?%6>j3|-4FRIONwcf*8cXU=>~nK1<Oc<||Ked{v-Qu$X6YXo7=u|t
zCu&4Q=Q;``W9t#%&`4S3m6RxK!%wB~Vh}Ul18xh&b!X=aZW?JZP9yx|F-^_%pffNI
z;^=h^@5|5th%LXTPy;^S42aN^Cr`lJ;W?C)$m!vmMo`$0<hHGV<2`mH@+2wCN@|RV
z@bK`6)R_5E%^0b1*4#YH{@Z^07Fhf8@^Wlpcff{Nk4d*ev^H?+9d9~NBtkVhM5T$I
zaX<%<f|*PRv`?*7NfQV(JCuKX@frK#6B|=iTxZTK@H&9!%f~S5JgJlbfB*Uc<h56k
z1HqiXLBk&0@(rc<hYwFEDtgDp#=7Xc_?g3P7o)Qi7*vF}NGD(~ry<#*rKWCw<LXG$
zzYope(!Dd{R%Pj@hg%=AajhVJ0mn^xEAS;HE7PJQz7xNHUgHEjgypD$V*)P23hZ!T
z68Zl|>h0qIrY@d%cggeWRXn2?@)fM5oY%@@t5b+}<TMp;Ru7%fHt4ll-l$iKMikA>
z&93kK=_@tYqWbQgQz+O2liXP4+8s|0XcfVcBc3SnOTLt%yPQu~iI>;0zQ5sn=9S5_
zDZ>*UzKI583J{(?`tZjy5?J$qgiRyAL+k}7CFvsK92CD%<&Oy^@YldnRNm)^jfw)l
zdz`2qCX{@7uE3A_F9k!`{?J(Den7zY$@%p3bZn57!PJbvXziUh$^R&M2!Y9@j#;*a
zleVc!WF=NLTSt}Qt3ht*79Ms*Go_<?27hnS8}rZb3H|aAxrPaL=Li@4V_pbaG_sa_
ze{YEpn);S;4m;}-hp~x?diLM{toQ;NkujLbb1+$o%hPDYkC@P8ad){G2sjuajG3*%
zSQTMmVfBpQm>70u=4nJu&k_^ya@Dwl;WCk9Zb4!Oi*Ge*g$)8km^%Ss0RA{N>>jBe
zs8en`sZ6!o5we%iP-aY=9fYd@nhCV{C${S97&_TQ#cWf4GK_>}o;(?$lg!N}9}580
zR980yP353{W?=!dKZ|8K${oz`P2uW-#O!y32&6tblk<Mkq&YlEU2DY4QY}sjjHc4)
zE44%tbqSy^A~bXw(}S2}ul3=F{<m*)B|w{tTYx0s9x?<H=SS+y0`)P8#vB+3=kEq_
zU{>VL!$dXjc@4ZivUT^_QTtL~>;Z3gYTp*Tfe>|0y16x6_$EmJvD8zsIei&s&3JkR
zO>#)xl3>5k0-p$U2v8=eP!#<F)f7w=uKebv2d;g`gJuN3?<Y;_Z=5tsx_`y!eTbz2
z(ZiafMH+1A`VAW(0yzydy<LZcbj40hO)=O((ok1bHGm;4M<Sz;9*)3Efsv7fun+_)
zy4NJf#VJ;KA}-FOH6{ZnFgx6;OvEChed_th)N!{$s0pP|MCkTJgBMkp4D|C0q>G^e
zxB2qbD`ySTZfDICxEv2V)9mGiVUnwNu}_pAL`0B~R4~N&K0w#6gp5XxVRq4F_(Ac=
zG-Oq_ISX)W2&Ta$&drvrzNiuW$>VYrAtGXR2JI_N9#;~cJVAoRhAKuV!TrpKM@C5T
z0MJtObrrBDW#+8Uu(=BqlJSq9x&S93`jAEA%OgjQaDAw*PM&#&45Sf94JmzFOAB2C
z)DrZptl*P;aU!;`h(G<@l%xCwU{;_%fJ1d6QayxJdTPEy3Z!E`YUB&62=_gPH?XGf
zP~4`+-;I*jC*t3*7k09-)m(J|#DT)s$jDQ$#7<5xXG{)>ie_Nn4@N=+CBYAg4NMhy
ziT3-5)fUbJ-3F6M>Xin%$!WMH3o(VBap^W@=4j|}6jtYH>2rY633lgqE+RJ5V^v&1
zhD6ID&&@T$4oD9cYZk;Gg7z?}fgN~qZ+&K}IfNNu4uL37*>{#Ywtf{YV*Bf&hx+^V
zJ<sXre1>8gQGYP{2EpDUh*#|LBqPL?jZaTE>5sVs_Wh(k_83eMh`nJX#EHIueZfQ=
z=Rzwx=wpmm=kXfP-Fh}q@H8?aLU#|v=!6Ff#b7A%w*tIG@Bxl<_1_}J>A2Hagg<&D
z4Xro$dALtU=rD-b<iMSmkp4pY0)P=zUCojVqVhNma21j{dq%6TTx=hALi(TRix-bh
zZ@93{Fi8@EZ8^wJ;gIb3d=PT)=E^rt_aMh6LfT4{KxEW2(yryw{$@h&0LenyJeYb!
z0qAuat^@WP>8aZWbLdc6VNn1EN}X@Xbm)-2I)nDJG!zDW&6Jo(&LAwye%~J@guk#q
zDC{_1hgX078s-nBx@eB!3ro=jumQVeWTNT^(1NtY%>$;4<Xo`FQAkGOU&D{#z$^MD
zHZ#t_=rDo|H%kmM{s>5Ls&yynJ^gBXqjvw@bVKq9J_px!nUR9-eh-7xCLbRk`3mZt
z(jgu*_cndUXJ7%D$Bo0?OiamtuwS*Q%EmEE+7CdFnE3oSaE5$yhM#zDAol)0ajymM
ztgWmrJ}JTsxcve**&g4Inkv@+0(GhPf@TJJ%p&6;BEnFW&f=>^Y~bAEXyFFA3Q$%z
z0i=HkCxMlhOg>ftS_G~F#DEAvY68tqx#0OABOnorP>b3-I9!A9#!MY80sM=K<Z52J
zQIhz3<}az<YZM3$bIFy-XV)`fk$_(|crETg(D?HSA_yXh?SM7EC=6JaB-R4tSmrc7
zJ3CMryNCt^$VtIRUd=JA6^6nOhhP}{8`AA+NvF_x;KetT%zqt&sO;`}S2ThZ@2Vyp
z{qCQV{vD`R0M3uSgtm%|Tep72Dfqk>fFa-{i?e5W>5s+Ao5XftMd`G)v_2t`g>>p{
zeT==GoghPiY00$?DA^!LLnPmH`W%WuN)drU<O9SK7d<K&!@{U;DhY%-kzwcMW@hGj
z%!<rbp4z}zN6RA4EhHoaO@oL?`bV>8xFf<-Ycd5ysL*x9%3k>m(+MUW7nmBrmhhJ1
zkwVB?QPSCN<V8Y<G7)h$6YF5R;!trw(z_!UzzH=3Bmwvs4HO}LL7|4E^0P9rk8lfk
zTj-T_5eOd^8P)f|p3r{e`}e(wB0*Dr^5Q4~u1!iz3Xe$wdx2|#F_niWS<}_=)0V$X
zlONi)bt{g#Bo|jg59tm7{G1TlI`k^T{W-!nTmYlRT)0RNL>P-hq>0H=r}35W--u!e
zesRq*<3#Qt)tRv_F9eTJs8g=zi5=K{QwbR*HWSQcM!eqG+TRnL%@9Yk_(4FBl*PFB
zk$AmghpaH5#b#C#bW`Tr=QNL%#ajVs0#gAk6)3wKK?8VYxH|Rz1J>LidPi>%h7cY@
z8b<(s1^a*rZor)6u#{*k2EeKD^y_JpTBh+Gz!YGFS=%|+KBrXXnDXyS+>3X0lZjM4
zGC^kuksBB+&kn!4oC8mU><=rZ_r}|6Y3?H4K(?r>I(IP1DXv|xS&!wfK8jkQR$cu!
zT3l=AZG}BA1dApTmtv1z3;r>1bb;eTgsP~K_931pfko;eYKe-Rlv}pQUt4n1*AFum
z!HB$NpxVHk7eRlQmMSXOF&R}g{rD#u_!O`tQMB_=T4CVf!R8S8dm#a5ir#gfWAS<Q
z3h9m$BvskM*o-*w_&3t{HPHB^#lRfycho~${<nBk$ciEH{+>7P%^&8&sJ5^P#FOX;
zFkmtu5)BLt0*Dsp&XJ-duwUR^Z7hLZmy2nT@&|}!1Lrd!4r1zR#MXs-8SU=oWC$1@
z9`@U^6WZL?9y0i^id5GZsC)X>+DhL5!>TSS=RDYm_z##~g+&$!bRd67K7S)6V=xaL
zExK0r?-9#C%s-O261pKPWSKc~%kE0b$tySiN7$0s2=oxQgVJLmI2zay5LE32c!GZU
zB;6FeJ$MWHAjqqM*Pzuk!cWo#c^eFw+LzPY{rquCZ%YX<-NvU}x)f<-WaQ!I2D}y|
zJ_<eSK71IAU0t$1Hd3_Z?Y}!+r(>;k=&5E<$^f^5Nlj~rJ>*E+M2vxBLF)jlBsn=5
zY#B}p`mTV#=&>j)DnjJc`{M_Z2>ANjq#52<4><x>rmb566}iF5Bc6p1vpREzNF+u?
zMP;1K>cL#A)C0G`2`nRBqb^4<$K*&#KzDO-;hvGNh6e@FZ`(Etv>OK>5UHD+n@#yt
zyGO^3zga-3_iYjSWM>+YLanIe5W7EcVILS=NGZaBNp4zy9V?a66gsd9>KAW#e0~Yu
zm}32U8<Ki*67eoQ{p@NVM4+UI!QTcV*NUoKG=%AVX|<Vt88?G>+<cawApl+uy{nCP
zdt|)&^tYu<skiPqJxcwOlpI-scwK>dM4OO~!umpL<M2o->*Ql3eGw5Yh|6vpfD7=~
zNuK)s8zinlz+oWJ2)pwkozfMM1k+rUu9nD(a!q_4k~k8_)N_Yx_ipgc$Z#vl+kU;8
zE%=uld6P|Oq|klT<;m+uA8EuM`%%pQF%c#-)ZxF^3?^FNhnxNH#ed8mwZ)aQrd9FY
z876qWC95lMvR<uO4L1sO+}SR3)0RFvMJ<zF;3Hbn!^FW%m6nzwqI~Vx)d?7#pNSzT
zD$2;#Hbo~n?ecDfOT-ZHz7Y{8O#?M}1smS#t*IR$UWS?j_DpR(b{~CEPL8wvaM7qT
znb{jyA7t;smVYbpo&EBpChU)f9tzx2_KYmFsu4p3wwyV8*5%h{5(r#j=F0~pO=zdo
z+iA^Mz-BNg&c=rmb&fqg0B{^~JHSn5(td1&lFwrfDOt1bWWFs;T<o;Z|Fkk#xkvw?
zkGvyg)|~ry+O((I_kNSvnHdr7B0k72`uoEu`_H-y-esdBbvuwA)m@YEX&M!|0tfmi
zcKrBpt_1*i0-c6>v!-U<n><Irh72}5xs~-QiA*3g1#0%j#_U3`SgpOI>lwf-_PBE#
zl0=nSyp})XNqb1iiSK$R(5`86e}{}>yjD_^?c>rl1#pIX08yvszS5^4l_x<peb7<3
zX==&Y3OA9}|I-5G6l7*T@CT-Vx(6tTLybj{**Sk-54nfmty^p|cWkpBtN-pw8h1Lp
z*VDsx>Qy|$0$bKe4dS_TJQUxI(6{K<>CtA3U!y<&3$XTN=Z<1owL~YtwZK4`4aSH}
z+qchQ62TBMK(H(jo%h|;J2y5>Nj2Bjgf|aUf-hs$Lh2bC+m)ofdnsQ_u6+|X*NL^u
z^7#ofV6+fWCAg%#4h*Cw5wJWPeaSkGCPEe&fOXJG4oQuMO>_o`xMm_6jV^hu~GA
zcS|SvM+^rtXLqTE%N>v;2{Qy>%LPVL0#|NsCXb=leyHj$6HI0KVGEtabKa_>pFU=u
zTSj}N1uzx7YcaDpNn*!Db=bzn2C4E%q5c^4bN>bSs`v&C5Oh6vPzgq{VS_!+J=m}|
zHUkxvN`wR`jU^Re>LqsuK;}7u;^k!|tG>Rzx#wHO!BVFyY4bB7szyZA{lU3o*0dyU
z`ybpx?0~7|ONAqMuL+$>oJ@QFTivPfSc0a?hd@}cjWn!J^;3@oZvWoj{}o9Yv>a*B
z|3U!)o6d6`Z9r8?#mE@>2XXFkM4txf#?`{4)=&uZu*;rlM%!9ienIL9TmY!(+qyaj
z1Rw|$zrRJQh$#r9`o~rD56>310?}VFn}?HyToJCkyZf|}(KnLZ<=mIb&!3%OD%-bD
z>$Q0-UmtV$6Kn+f&<FPooSA3Y({nUb>HMxuh7Xct_NrWy^ZB2|hFmSp%~B8|K99Xd
zsyYWdb}FoC>%6DD7gBBz@9nUFuzJu|aWYYXxq;{$%Rx@Q;^-;w;P=0^iSjzh*>m@~
zf=ClDU>^aK1m3-S_x}CdtgMNtsU7G$FkwoNhD$Zi=G$y*3{?trTT++$H7xmb)_uBZ
zdi<x7+3r98pP_I$zL~M$(-5u6&*>W?Q<4dqpmSkg|KZKX1ZuL1?Q3R^peX144^@g|
zR~!%|L?;~$Ej#-|J4U#*P3&%9^xt})1EhMNiR)L3QR8x|Hgd=QD7%YR?JDC(j(tBa
z#Zy@O=hrq~N08)I&Jb1i?0IH&>-nwphm*=F1QytJkJvyIyFc{U{GpsmgN9YIsMGIs
z*Oor+5P}37{+?Eu=Z)I;TaV<Q*R-shkuwc9FTDR~Z*2~lV{5KaQ<Ua8%|i383&Q<p
zL=sDmohq}uV(K-0b#=Ow_vSsdn8EAS!tuU`)vJ*I?)_P|_GpUbzU1tkS6R+iHmA%t
zJepj!v)E&J>6+Y&p;9;MAGEer+2KLMc75b5%uHs;Pe&KePi5aSdz7@Y-}3hF4Lp%Q
zBuCEMe)pe$u=Z(jTjRZNxwZ?=^quTWl9<u^b(r;YyJhcKa*v>4ERThM6_rxYS68n|
z^T=Il`TZ4=$wkkP_UZ?-R<r#1a|x#Lagh^2gN%KF;;F7XbLxJz@N{@|-|^;k8o0f?
zt3C9N@Ld0~i5-6sKHCjcZf@ZtC&rRz4qS4`A357)*0}%8!_m|wX3<NI78R#$RM$Q>
zX#;=v_vl3K3f88<!580pk9BRx{p#POH^h+fz?SNBX#dQgM2$d@q^+m=-ogEZT%n?y
zOW?EcW8oEFb<@=O+>#92>AF2`sVS9)YadAnMOoMwr)08%L7k@g!^@_<jt@&~HBNGB
zN9sB@rzjnp*8d}bNZO8jq}Zv$;oo4K)LBsbG(9HL)XUDIW|Q#d^70#h+7xLCYL%A1
z@#ArMwNPc7v0}Qg$P<;K6MRQ_-0_db-FCxm8n<TIGaQ9y%vQQ+^{%+poinz{sPC-Z
zDRv!sGp<G|tX=w1s}n1;%1w)}>>>v5D_J+_a=z|1@Ni!H4R5MAyqsh7MoIO9UXjIV
zvPnX+WWAp%G-6HuSSDS<2H8Tp;fRu1p9~Apg*;vZ35}*B!Pf7ml{forS~;|~6BX?b
z6_JfS5-AknVptv<NSR7-EX%trVei_pw;)Bv`R93o*D3>7*1j<5FgdVOt@4lW+haNC
zlI4vPb2Q$cVfCsUxPFC;Az9ikc;95>%>wy1Quacb7nu#@PW-t~0Yx%em4|P6V;djm
zr3Ta|2(i69SAThYfYz=yyTPl*?Ds0m3;A&MeCAs@R;a~s&gD+kFZ_D-%Cb;(u-!IQ
zH{nhw_HOC!$tV;pdLKB@{w0m|$zL>DcN3MH7&%L|eo`2_K8Nl@!*AP<4S4CVF7Ce8
zty4y|`Q<0;#e0EYj=vS=5PV*vs&D#nyXm;V_t`$-(36uUi$+iRn9%Liq9&t9c*o6q
zCbe^1A%D_1ts$*a-}t^0(4I!DpE3P)SSagA(~(iT(ZiIq-^A`twW>SD%#t-^tm@Qx
zm3E3|y}zB-zj^Du-s4Gbo5}aq$KN@}Nc-@5u3DnTli;k|<aZ6@wFOTV`v;wzeDNqi
zgY~-^-P+o0r~E)GmhB}l5O%7_jwdT1HudZnql(yqvxZ~+Wm(?a1!(~XGY-y%91~7R
zc-ELLHMYEKDPI3fVz0`aQsw8Px>rbO7!Vj?0Nfj$PhI*|*l(O@-Yn_$`0L{xZzr2C
zxytrjeLp$>VBpEXpJq!0QqjZq#zWKBI(AQsLZsbk&vLsYrsm<LkjR_1`8OObgwMCP
zzw6L%Y;3uL9isT6RCfHdR&$HO<-o%D{JP+D#(Xk@gv4Ri`M!_)wux(UZ<GC~TPUnG
zU@g$eyG^$6!Nnf6uaR8G;<Fgn0~3DoPt()re-O!~81<!zp2H^Bhm_t{UMFX#K63QK
zj{Qbeq|+(4oe*~@DAlUuImc@1&%=@GX4{JA<d!3hO-3b1k12^6_s4)cUH$zd0L7t4
zooC_@ms1~6#2mGdr;U3}-$pdr$`c6F^y<So!;>2Zm#8eL8t0o|dd+6-Oc}6=BM?p#
z_OR~PtSvS_C8>VbEs*d2ME5>VOY6ipq;eE)Zjx{rVQFPuVr65iFD!yzIbHADJl>bm
zSMN84Tol`d;z|NfQONT%0-gG-VaaZjIx(L=zUv_DAtNYGKg}9;x!E66(BkpLcIH6P
z?s5&r3F*lR9-$DpqtjaJuJ}3!?s$5M8+h4o-LR9rLAW2c`x3*=HwR1f##TcsU#8w}
ze6Gh@ZoR>I2ex%m_0qYsXH3sUM7-NK$HB(Qfz{+QnFzlZ#3Fr!oZ#(a^)maJs)^Rh
zgId;vXsX)immfUJRn^o;;R7HfAe9ijB_>)SJq7)XGKaXkBvkc3D|J9BYI&Z3_HT#0
zXC8tbRc>I9Y-q}YU#$5y23W`U`gJIA1cFr2Z5{G*f$$nT0dq}2JT^8z(K*x_6>VGZ
zz`-Nn00)Uy`cD@Rv1~5*<a?-9{B_NG!4jR?7YEK~bsO<jwu)hy8g~omC!f`mrbyLI
z(<!C2ljH%;=eMlpY-*KrP(52c{*>cesSk_ekolm_=Yc9W@Zgx37>K%o@!Uqc0e}Cz
z%fEsX6M5)!&bK;2nS(6226{*IVt9q=zhqtD)JA>(C;gCU))z3fnBfs<b?Q&$q=MV{
zX~bn%3t6v~LZsL$n;5nKFO)u?eZ@tX#!uUzq9<g-hVbAml3|ZhS!QzdW@y5>BlG-?
zKJZ~uQgiP-<J~B{`i^(j>#6rj*S)N!E4LoM!%m2++jIKYOSR`RS6FL0^<Is!^jgiK
zJd8Bi7|lt@R!ht{WkDhUjDY^w6fqzoQzEf*?E-d<+QCR9L`ag<&!1^XIBafijyf>V
zHCrHTW~JS6Kn&ebm<9C_{aK=2OGPh`ik^XiT<dyvHa0dcWMTSH|DYohQ22VtAO~Z`
z=z(R901-t)r2`<>kl5#`+*G>w`^QlV3JQ}gAM(aMc2cW7G}3Y#orzoD$$9L-YwcZH
zs|%fXcXn=*e&jr_lUe%k*O_<JWQ0L+zwMiS^kM{#grDB*!>oc5k|bYto0B<pWt9Tm
zq`I7hia$D^{rmTWvh2vaxVz+K44EioteNKPV(S%9<OGs0djwB$^!V{uQ2(x7R}B)p
zb6>thi3(ux-fN^vFw_f>0DtfbkQ;n$XwY800RUW;h)}dqA1xRe0?_!!bmDs>J%4xE
zg~s|Xn`g|<SRLkRJ1nr07gbcnOPl#v>_Ky0a4}TaG>;z!*qN@_@7!%CgFq(9PvbR}
z<7;bV-)HxPegMLV+w4Ue;gk=4m5bp{1q3PpPqAz-+@_Ic@rSAbiR)>S;rq{mp#J_<
zwq16J-rEMFd&kDcP($|ku_w@7ps|Co7l5kx|NIX<Px?SY9o*)|gzAr?lqIDfnEN(}
zoqBowYD51kKQUe|W!{Yht&(i<p$EDT;u=FdWcnztB<P>rN&S$4K+ruJYAfawRG?Gw
ze}@%R@EMMMivQs#;%81O2z~tcqujw}h3_cB0?POu{|U(oc!gf+kAQqma3*miUR-|9
z&`I|Dp_E`!=fOv5OK<PE9`n1rPeTpXHz<PdmqW+E{j^EuTh6(oyZev+xv2oT6E_nI
z&*@#aQv*H-q5vuE>C@c+^^v?g+S>~=QIS$FVM$57WL^D&pyA>3Txvi&HH2IZPoNTG
z>4=BN;^)1_mN=Amxre*E>9B!WSy@r0M)Uj#5qUuj4g#R&p=&H=&6B>az6<vE1oj*Y
zS3PW;@YIY?C2;RUGQx*G?u!#ICjx5npNb6esLAjCd3M?7;k$}%_&RURwh5LKerJT}
zvvgZe^O)S7AYTF*1~n9jKvdYqGmI60cKDS?pYFH>)htO>+$#Vz%$|&_9_^p0A(<$w
zL;kEM&;(#8-8i2C%rKPZqNiRG1wv8PWmu(qcf(|<@2;en!p{eFU#OM6s~`|UZ5(>!
z^Q!r`ebKM54qy~h!aw*%1)g{4ad_7b?!tmRA)Y*)F7@ew+3tP9S5)}BQJJMdG66id
zzyHzkFqCN=yt-aiR@VO~AdG^sS+F^YY#eg#L?VQ^smV7ElKaFV(F9b79BYTvyJZ}h
zZ1ox${wL*(bB35#2)l8`Kw~+f!NwnQ$&5$gzu8Pml6G^o4pBR0r`4GbiUHfuMn!>$
z+`TxB_L4m}6M|j$##yl5?eEAFWw~ki;_Ru{qmN6!Y7B(&vWp97*-#yp4cHSovAtL=
zr8==7*nE@i^r|xp5Jg$`7%p83Dc*;uuXyEU{Pp6nSJgTcL^}_3ITbx=uwkOQsg@}2
z!o`iM>XxEJ_IcI!Z<5cRkYuLOvabB35p>ZZlvJkk`Lmi!JgG7BuhW3O1)5l5{843}
zk2*nEznFuU&H`*N7<L7_3aP;!`Fkd4yr`oStjM`t!ba;DkMX1X_i0IEn?9To2ZSN8
z8i&BhbHrkMf5+Uqn~U~Uy%Q<31LUc_k1L48cQz;cqYs?pxlm%*8L9sE<OOoO^>yYs
z=OiGeA8Oq6gT6jEEjc*ZbC7BzH&T{8Lo>S4omk)XKCXyzV)J1y;5AOGbc4ML6nh(*
zEmm9)5B|1wQ}^5IKYvd}I{W_wV~7YWd`r`T5~KjC3xH{;Rh)2vR!p>b&H_gg^ed^{
zK+OF549z6whX6}_{`6_u$*hDq0nmUL9M)3gk(-kvNsm@+*6<-j2~6Dqs?2)SZDna5
zdjlg*@?0q0lXVN6`qa2=yNcxuiVQAjsoX;G^Iq!RTki;7GkQ|YFCg%tz8-{kMrU-v
z`>!cl1E(1mRo=SxJY~iRw|8=G+wN4fEt2boD#g>?sc7GppheT}D9U~x)#%}YAd^ra
z56BDC-rI8{!3wpvC~4{8zr|}sJbLtXIVfz9H&Le=pF(xBf-mE`Ky_UmwER5J7R9MV
zZWWB{DM?CL*xbC~rICCv{`33WdJ~>pj%18NKcx0|&N9Fppu@E^C^WD~2zo|FMqv5@
zIKw!Qun9<&d&=MksA*|Q-4Ot^V1Ly0PN0q#e7yy!5w|^*KLAyMwn#(12Ebr)ehIb&
zfxu(`rR8PyVOLT|>o8&TGnj%tj-MZzJkA6lEz6jtDj7QdKWL9gK64O52B+_pb{uNf
zV&8qi&M@kaj=gb{MFQt8$L9gvY<s=J{H2b)Gve$Y6Q}=3&+^Khk84dlw1N>l&=lhi
z!V#SOYRefyd_byU`&<S<9%>x`-T?JUFAyN3%Lgg>*b-3sfMbDceQRrz2kiu<J=Ps+
zTa?wcqI5gp7^Ft~_V53SW>;7dcrWa+h5jf<aEn61f>+A)XK#@DG(h_Tuly!6Qw$v<
z@o^B`M!*N-8#^(Bj`U#LNA4(U^#YKER4FfVpEavY5Kux+LASY&+{X{S<f_#D=xDp!
z=GS}w%PXU?JilI_7|j0g{0@_QUc|lMUj>_`1BTuz5^-~G<Yx8&wEzASs*j291}0IY
z8W^p9wL;FPYE#<&WL-$YRf(tr!Y|8VTk-K#wY9Mx?@m3kxZad22-s{+Q#9W=s0zdj
zt!QKb9qQfa&EC7ZztV=9AElptDkdExDkva-dHZhqfW^y9v$jVHr~|7X1bDgr8ol&1
z#Rj4%T_KjanBq-;a_GW4$T0+-np*`K^zm67)hBv!+`1>M%M??jm$_<DA(_9mtM%(;
zH_@JOkLta=TwgA7{7ws8)e|9QWdy~Ype+P+<`#Eac@BDc3G^O)GgvJ+A8>MKF7MQZ
zy|MfK$6E5HxDKfwnT%9kUmK;nPkZg}yj^z|d{WMDbi8zX#ZBv6M32kMaXHsRo1<+V
zi(kE%Pun#Z{ww82^P|V)J$q%@HXpL%D=y0EoL^Hc5(;ayN|p1OvW_P`zOqMM#nj`e
zCE0P}JGzp{oh6Yb)BFBBmyH{q>qDa2!s>9xmD9RStzzQ??H<;#N5xyER5^VzxfNT=
z=(f_+Yh?=f-&W5_H}SNe_IUC0R+ypDgx=!o<s15@U1}SQPo~9ja`M|z8&T3Jk+)VC
z*UGyd?BZBgj&aPIE^j9nm8*;DAA6h?KiZ!^@OVJC`mRtqd3!Bk*9|%)%3U|y8F<Iv
zQ&8!o>N%vHh|~AD??UnSCk{>rZm#gE94h?G-;}F$$b#C|MN2~4)m+__%W~hrKYvZ9
z6n%5kQYm*>^TGNMf4#en7JP=xY}?XRkM{&yrpJUO?aTc%QQo@Wa#-lecDa*RhYs*+
zU?_+8rY}cncn^l}7TC~`RIq%C^Y5oQm9M`R7q5TIev!U7u4f@$<>5)~v8AjB>URwS
zk8Z6Cn>eh;sW!r~N6phTK<i|piL|eJz&e7%$?LD;73&V?n@@DkL@48-NKe*ie}QJn
zTS?euQla?V!y*s5+bQRbwoGmlC_FPZx^-A{sB&FTs0u;rnC3eDN|_tpwr%h0Tv+}-
z`vakfQd&-?wAdBSOP}AAoOLUEJwmDVfw;YK-#+q6LB7PSfFP4Xe$oPxzH3#?hvUH9
z=02sP$8sfj^riA=9-OeU=I5iGWlUB*{`q6<C*f^}|Nia|3f}Q`6kZ8=GDeqb%lS$x
zkI>zlW-YHgVl(=P*Y1(r-_MLsFKe{xru$&~CQCA_a0~a~0mIYZTy9V$%%TvprplwN
z>eRni&_T&K=c5#oRNERo(j*bp+2zpXEUS3(O0@lKfJ33kznjd!P4aKw=&5meOd`3J
znt^6}|HmSJ$*4E8pa0(4jkYqZKWC|m-&Ael;Q$4ruTtSEe|{DpwGp>{%c8NnxFGvv
z(<g)f_`!P84?qt$@Gt)O+-NcOaER;AoqeiZha2;?33>G9`MO<KFP_sIGh_O<xdgDl
z{I|1-BSoi(Wz)Z%Tl2<Ei@E;ZYsYzanJ>z6$AV(s@v0n{iTz$5s!h?w7JkOx;<ApT
z@xR-3usA@jK-g>UUK@OFmuN@o<NYtUi9G+PVa`Qebm8w8(G^6RlPg@fC`4&--0a5P
zy(t67hkvF1+i-99Os#vwJ#8~-Y+E?fDU|TemHzK7OdrrF+9-}@#lA0I5k1VdYR}eI
zI{*FR%dg7tcP!xy_~9L0p^UMznZJJ~<&R8)K?%q^FP|Hrk{b`ew#1BvdYUeBG(H^M
ziHAOOUWq%3uHn*%I<HZ^<h`}6>ZRrF6cEGo>tMjwFU6xYO6#;Sa{{V4r1Kmc92vR-
z%F4=o#~w{pvN=jfN=`dBFVH_$Qi!AfB=q>aX~~;gDXsL(#a^V3k|=HE_uQlEu|Bza
zw<E`g2Ru|~S=Cj$oT+KH>%2OZcaldkB8hwNE<*>K9c<gSNVR#`AqD}n4EH_QUM^~!
zC+74+RV`yB0%Az;?$D>>f^@4p%CQ*9h{mk*%tpUWErcpwqD{EQD+ig+j0a^IncGI}
z*IxQG2Q$Ofnq7KdW-Ld;xfjf~Tx3<hmTsYU_47UnPIQV`Oz&N4)v=k}DpSp?V!Ksi
zupvLYgVgrV<jR5i$sJXohOeSt%?sHHCT-i>cVHz+j2N`k?N?_z5J;X#9)C{5I2Yy3
zwfmG~<2RQdusR(rLX7lpRc<+3`mVj9WwqTmn|E3~9NRQ`geV~WZkyil-TnHv7dB))
zt6rEWetk!04}px3mC#vuE!U-5;;@Pn$8>rw>SaM-du-{xb>oIChOVKQ3VCJ`YGvVl
z(bK$6e%M^W$FAFv>b%9%mFf)(d=3M_2?eRgrqcpPZK+86Es4W$U@E-m%@6-6nRsid
z(ZlN)a#~)jE~G0T-E-gL&~=**_me`YLpSTV`S=)>AZ0Pr)y>8b<Gj2BcU2w+1!X}U
zX5d|W)&r$H=)05LU}Irv84F(e-q7c(O&)gV&RrojN#C+FML!jj+}W@E2!eFhbyyjE
zTl243j7+rC)ny_;nIGTVikj<%7?07T8XCIEy5JK*M7v}1FUt16-5f#62TdfJF(J$s
z5U>Sm0nv5XY}=GfL}`}<Wu|Y!W!icxiVg3-!>R_F_A00Z#XNn#{qxo6HTybfrpEn9
z@I#9J?7=Q`KRG3zmXex>hG}HiiPbZDTc*A)3W|z4g4-j3AT%_HGm)Mjmz!>6b1XC$
zk3_SQEZZi5s9HET?Gq<nK^^$b;SG9&dfQ`8F#@bB5a}i+CZeGZ?hw&6<olk74*4wI
zqgNu7o)&Xs#}pru8a?xL8ImY8!$%jk2AhvHHAW}`!rbHjEsX2GV}89U)V5GG?A&t1
z-Ca8IGGHpG9~M(HiUmq&mtlvcSnf5+N!()FIyO`&zVEQ>sz!%p?q2$hW_xdEDd)Hz
zFZn)byJjk?T{TQ+wh(ec!qg((KH=1Q-Yt7dh)*Z&9D|yzdx3(8XwlSXXdUcqZJ{W7
z6cyFw)=NWho2-=resn0c2`w#1EnBs<vmk#fGKJ!20<wtp=O@8$iV6wsfbbvf{1F7A
zO&i`1K$&GU&ow=pF@vTeMn>wCk#Zid2PQ~8b753A`l48ZW_o%Wl6`<==<|=9l7*$&
znrd|>w}d3<f<hPytj?AeQfV-hvw&8AO)r29T*b$3>1Q6?CgxM}i!MiLwtL6O%kv_8
zSR?FC9jLjGJW+6@-!@ER-90NV<*DPMy7lZeH*DnCH(|%m_?&8s)u6aH^000<$-YnD
zOF8ZIo9bhiw%EI1)_LY<HxmTq+E{X-%t|vW>9mm`C+s3M+JL$N6S=YUc#oH@D-gMQ
zqTMKg^Yn}d3KWo}la~TE!vFfEw{P2)iyRAGM2}%+_dtxt76Lj-$OC_xoj_k>m>~jz
z)YeH3J%LBRhN$&Hq)!^R+#HS`*q9~6Uh|UFi`B%nqwm@r6g(^Aw-gB8LnTsMg)Cf8
zaK&wxJh|6a%$X{?iR#7!I$`bX`8`}}nv#OblKYfxZ9+BnA7T)u663BEr|z6O1WWR%
z)S6ZxLPz+3w*NmZKxu1$>i*;k2I7TR`2+4fzfes7BX8)}u3cxa(!kLmUBt6a2R;_J
zq9QOcGtWC-z@rmLWyX<_zplvc+GP%e6N2EZ)mxjdXQE7T^EMG!gVjD!uL)U<ZP3?d
zg2HSmJm(v<F!hsYViAcd%r_@!WyecJuT9*+r$^SFMSt=VzU2?4$GeRT4K-tAPa&~J
z!%ocaeA7`Urcu>H6@$U3Qx)6HehdsmX*@$&9;DZuK#O73ioOn*Du?U{pq^kO(>O!P
z$igMPqw&n(i)(8xb2>{*iST1f8rww$H>QxdPO+ltQ778qH;0cLSv=^lpCa#7x8YBD
zDCF-wFJzzMzP&a%8#xLlf_h@Zr(Yp+KmteRjorNH_ydwk!l#y&IZSqSk*&G-n3EE{
zeq$^bm%DK9wCu8ZIQwxuT~`KnYBM$2Is<AlG3fw)<2CpF7FvVcW0OiBSO_3_wi^rg
zwW(VLMT0k}S{Cf8U?BV^J`!!<Rby7{*`#sisD*2G-~t=3#x{)$qIYRsclf*17EL=F
z2a^w%oEDEHaPsm#>)n$<(P7-W2>u#1ETmbWVPRiI;&O7B32)z$51$(m2=zkE8u}G1
z+|Dvw7s@bfz401(MuSZyTE0P6@#s<8=g&O~ks0af*H9~oM(Qvx7^6y3;OGyb^fJ?H
zb%kVuk<+7;rs(S=JLmP2n>ooCX^0KY(WD(kH(0{^>YZXKw<Yy8arG&ax|f%T3qdE+
zimn}`BCPh9i>tF6y!;+fK`V4#hg#dIanJir{eFvS3LO~QT-n^{w&(4@ble?IN=Um~
zvd=vf^x%N$sET;-fR13};4srg*8JiY>L6C&M`=<9mRn2B>PgjLIQb;?I5sCeJ^hL=
zX6c@Y8GzPq1zq`5bOi{XY;#Cce&JHm(BC9rcKOk=M^X`+nsS^h`v=DOj|9ohr8CFO
zTsN;dx!BKiC)3AgwIfY8duX*b9d9&p`(=O2dgj_PLlto$)+K&NYCEkEu}pw3|Cv3-
zT;0onp!T?*rayI#V`A)j!eiiay~&Vlx?lC@q$K$->#^dqZTDIBZ6s{rkRL8tm;TlR
zK8`Bo+j2X0Ngw0khG|}?LCGdg+P=N`I5qe?se6=l^pM2h4Zqk!(;Ar$>)h?HQ965%
z*d^t!8w?|(Nw}dBE@Qc_hBwKJI>qtkqi^xwk7hbh2n>DQP1;IYqES_QClAENhHdgD
z?>11||JqJHgf?J`vD55&r|NgwE!EfeER`mFs5{N2wA3umO{IBhAcQSfwg>I038>av
zm!9*}0XmWSsV~Q6Dko)2aPrXosND-b0uhW<%}Xr$#ir`XJ~&|WQ!^MJ)sFf=>sVrm
z@1`YZ)KjMO(1A}G(aay6X#DyW$otHpdg=R09qUdn9H}ZdI3<7cQHA1s=g&LNg1TF7
z74)56p&VW;ea)ufb*qg>OLF5d#X7l&>$|rZc47&Xdo$vuO}ek9TL!7~`+QyXt28@Q
zzVFl0#ui%g^(QNRaeU&VY9FfgYx6vr2s>1<?@Z{U==Uyr-Z&9Fe^3`jpA=3s+OQNS
z9=GNZ&hxf+?^CQk7hZST@@_Ht0!exX4fDEEWm>r(BB#tuOp2h#(LTTWdf>`6lvxAQ
zq=_h6R|@`vR0T~yFKUYY4(&fp?~YxTR#;uS<XV7EZNF>GRu~ARSr-jQI5xeV_9=&7
z0)S7dMe&HS6=j{X>+VZUOIuI4M{1kY77e25QWaXp&AQY}*G{dLF5C?7jq$P>_K5Ej
zru4|M_V~OYBC*o8xMSCfY-2lB5SyZF>}-{^Q`|&&_kpi7KR3sjkbfT|3un4){m$0L
zlT0Y8ZDwHgy7;=cT@=&9acsn$+1U~UD{k2-DQ_KeZ{9j`k0mPd(Ib^iB~dIF+b6Dj
zk!9iv{-0TbzMjw`dnYCqVD&7M_*L`kwVjMM4-4a`9XFiIzy521S$nmNxP9t)r+Js_
zhbx7Y@AgaC<e5)AnrCEL{dTy6QXZisFd3BYps@**m}ut)ozc+c0s{;*AYnU!?eNtA
zyvRz=h?81qTAsixz;~FA(YNA+I0zRh0$c|NfH8fEPoHMLehp17TK*%J`BucdgaUAT
z@yL~l`(Cm$EtVy76{6r-P+^Yxg;S?k2tvkrnG~^}^`+}qqzxj8MW$VQYcbAHsOEOU
zPv=)RKpMhe6!%^{8l0wYhdkr>)PAuKY{IEOG_vA^y=)oS6S&7kDGhd2o!)b!XxHnm
zIiv5&(b=Qlx2gxee_itB*^k`8k$U<I?pH#bqs}arJ#FRAj5MuVC{^30bbfZPPH6b0
zx_w$#qYf`0dDEjkPqVScHmB|U>lnL|`cp5$MCDh1l=>7Ud^&saU3XbEt?bm7Yza{-
z)gMnnFxiJK{iKc8?%Niz%ccbr+G=D3v(j|Lz-3YHCJm^VZZ^sL-a6uPt9+NjHCDwp
zcb~2csSoBml1!$*hwrn}cefLlZZo;%6>rm0v)>=p;V?FI&sf-!mr`mlSR+B(cB`g-
zJqsU`SrDsXGBP4*2OA;F!XOvk+1*gi^YK|v4>pm;O=9Om8H+H4R6l50)kafivb=dS
zVSiNZ(DOc*091sLns<=i4&qJpKZa<#%|_xL%f9}5GNYI(o-7k+)mnm<`Y_oi!Jney
z6J-(4wfGqr7)A?*(oyo)?%ZtBu^i~JgLl07V6-No`@mR6090A6=S{sD?j-zdtB%`g
z(5gJ^krlq@hBEbwhm1#)PVE}Lc)^t-aJcajz4N_LGVAAznM02=a*`BgW#0!Vu<ocQ
zb6zl<FaNaBcckp>h-tvP55K75Yc~$9qn-{cdgEc|b(A|mb4LFljf<vP5s&*JW#whB
z7pJcFsaaK>u(IOua<^;prCq)}^Z45vw@|Vr@)=f7nm3eYr4Bx#mImFa&B6=iH7y#~
zPkw4sjfn5OO%dsnElwRTL7wz-Tdb~^8`+{VN5MUtklRz;)}b!3=+u}|h1L~Cvz;Cp
zy%Xq!;q2LmD!0KL`X>!@buy&%N+yPaRGNggxgPAKNr-&KQE<g*z<RMX6LN5HQLB4R
z7srN<PVds_&Ol$+?!}EUf<>;O&m3=Aood$HIFh&3a;k~am%OmiW9sI^I_c`;Z9C7{
z><k**!^j(CLkQDp3m8bCyPu^KH$BMY?X7g6^s{)t#ns=zQ}<S<9u}Dmoq16=|LoLq
zmy`4p=i;i*pB1%(>sGwnI_NoHI^3!mSP7NTqKJO1IS||BQDZkV%60U!-+cw@`~Ewm
z94rPzzPr;<3~p}Oym2Wib6a;*=Fs@n7U$^2JAv))1IJFjzo78)wwj+Lqea|he{RjK
z(Y`W)u@sU#F?Qdq>AS_A%a#h%WYne&5L8s(%610vP7nKEUY)mU;aKq2a(s)!+w7g+
zdVX}ywZS3x4V7@71*t>hN3<1^W(OsEPd}9=&(-AkIhX6h=Z>+49_t-_-bnsp%=^kZ
z%J2+!^C!fn;H_>VLgK#W*M&S=Ja>@Sxfah@ut`2wR9G3@HsgEx!^2A(LdWwz%o&^}
z*PDym!oPY_(^p9N?kDzjBMb-2#1HP+(#%TpLO-<$kW}AF@2lghdZz5%E0l>-4{3%l
zkz}O6Y-^gI-$wjOgN=04q4mg62&FI68r;?yy!&N@;j05zJjrBg&+mWJ-|qLnm^#a-
zs=lz>A4<AGI;A_LQ>3K38w8{q1S#q6?rxBl2I&UrMiJ>Q>AU#9?;ZCt{NM)|=j^rj
zUhzD0{$_A65XW~OPoRFl2n0ZhsVOBx=T~vQf|G5p$$>hzCg-5FI_`&Irb)JkH&bn}
zC}!{Ruf!Sc^M?2<rm&RF#EFq=g%m=QP@~X$hUaaJh-Hl$Jjgi#i(&uT0J|ccmqX7N
zRn-KQve`WsAvd@dJ=NW_L8vvsZ%B`>pwbQj_<4Q(`?MW(bxm4*AVI!#Yvzv%L!nIV
zXzD23LQsqL`@5k(xeg^-X<FsWqf>%)Fp%3uahF!J?!U?IVV%;k1hd_9y!}eXE4qOE
zv-aL*mTmK@G|;Cd${0R+MPv@Owl2R3vF|1!z!WRhlvcy~)TQ+&lD{PR=W_#c_EH-W
z952;RP2&8WV28N6!5Bo*zD7(M<REpDI(Nklq@RW#ahjzN)*MdF=UjoGdETl~qk>CB
z#226~vP*y{6+#YJ)RGMEYSIbCzd0d6{4RLaCObOyzv#jqDs@34z_f0^Ymoa&!1Pft
zxH#yXoRkhW6Ca&C(bYL%sJBSAUtZpcM_ceSrN!S$(n=0L3^AU}*Li#Sd|k`R#@Nh&
zS^k#2JW%a%*FoYw%TdXf2Kr%|g6mFyK$m7(M4&%KT~lgs8?UJdVnNNHL=8E`WL3Xi
z;Uk4?dik4kxV#GC9K$430!Pf~k4wNSaRgj5pmGCtd~TEZcoNf%DVsoAd)E-~PDLKN
zpH2I|sJ=Eg4S5#P_2zzLy(UlT8Md_EKS>DNpNNI0&f7t0=Dpb%CbCsUirpgK-@huF
znr}qD7dN%;cz(qY>lmX<m#M<DCeb{MPlA%13>v6NcxA1E|G9sdZt7uv75T5=eyx6l
zeqGXXxQwj?eXH`8Sn-Gr(p8K1S2aSqnpb{XltRouYnh<@28_zx=2VeH!>L;h*DLSQ
zGgV-ywTa*OW|C3NPX5{m;0CpZ0Y^P!<6oeMrKf&i!@UAJ%Z4B$YR>AUQ@|nX`Y8}<
zE5{5j_z^9XaO@ejlg@#yQS5^3>u!)++-fsH0esY8DH9J>XvGlX@%5`Xc#vFRg!dIZ
zAshLk7xIH$WsirId*WFa;U6qNVWu-2QHyYs{VTq%=P#+uNE*yQf1Rp06P;0|0`W5$
zZ7GnyZ_hmXl2fE3HK#ojwlxl~*htLWl<6LITVQvVMSdgDc%t)a0``Ju8rmi5{exm#
zGveJkub<s!QO-&r>X+w5Z#0V8k1)QloxnB?qIX>%SJaIS;tRn^X3CX{nfa)3!N3`Q
za9}_f&>df5&p>|;6eNfU2(&ddL7oXXfXlLW;1Cin-#?yU9bqAOW9qD5;}!U#peRBh
zS|SN^G;nN>sC`Img7E1pf(oJJ^N>a;BILe;e8d!#JNO=^0#CgmU&vXiSdBhpyyiCg
zT68uy8=F^-i(pY2<KSasnKn5iias_FfzXPiq%MBXK0pM82Q;Kh%b8B3m5((R%=vrw
z!C5nr%>xyWwy5e>9Ue=bJ@+lvpY)45{^Z{tI(U1gv;qsc`gPq*mDIRcMmQU-ZZyg?
z+9X0+p;^04W5Ay+D3%d?A9p@qW)7NEujQ4``zTN5(U5OZDJ&l@KjKCdy}@jqMt#5p
zNo{fqi#D1I1T8UIOh+gDz|L3$r0<N3vIWy>nwnro2NYXffX@j!z$a7JQQiM&5e#9(
zkG64?MHj6xZeuD8`7b`MZO}qQds<1X{_1Bros5OFhU79qk6`Cg;>w^peB?-dLOb@B
ziL&-XZm2JEf)4CleG2tVjzojP&weGTfUEslEIVZ`*GX>03!CoSpFeq+m`(>Y3aM;G
zQUYL`-;vw>Wmyv}Ov-y&Gf!?yb+ikR&P?kpo*bO^qbHKYi@&NNgzoN#=x}@SjYfu#
zDH_wO{j#fnbiSt1Ps{nke;50t$A<WYw$8m-FzzWv)vm=WP^pXSRBAIyatk;V31;7e
zGM0hoUJ>cOA{oLhm*ok}%trS$*J(cl%V9XTg#=~ttI6UOTN(B4=ket6&3~AIDv-%f
z+Bn1_U$>;#s)BZ_x>2FI2~FJIA7yppdD=^H;pR7c(!1lGX@2Km7TxoZU<iCPY#~AW
z48>&VcTw1dpZ_(~m8Z9(3aCC?tj{{0>z@Mr;%aLhRZBiziKT#=>kcoKuK%7(H=F<Y
zZSj_BRDDNwmHYhASXx$m!GLmHt^!(lLiUJ_#BEiJ544=vXwSe}v*dbzy#MpBZxP~t
z2`{g|rwjpz5;x<Z%0ex-Va0%s(SegvyuyU|iQOx@f%#Z4nu_y#ENUJR{!?@(pF=>;
zzt{L1=Xkx6{umDoyuacnRVTKTvQQoQx+VQhc>A`+M#*|Ep`=ks@#Ouc@VZZ($=BWB
zG$X(6GAntpN{_Fz_7sU;q8a`8bDeBSekWV151HT;hHk)Ugi_-bUL}Y)ei%j<`J(AE
zeV{j0kwb|e{Q0^C&!Ju;a4M?$hnse8d*+bL{l{!``p}fLQF(>W6|H(bU%X4OJ^as0
zbfV!<tbY-)>P$pW#T>1w+hNg4+~uj3Usnp!{$zy;=J@l8+LUUF%05=Fa4IU|Cm(}&
z*xajWaX+1~CJoFT^780U{BVo3Q#lMPnV3)$VGWrov_VSHZ?v&w*?Of)pMS(m?-I_v
z#gJ)jk<WuA%mx<)fkZ+@R`mSi=XH8V2SZMt=JySPLk$0pYwcdp_o@mb2RVxMt1FR*
zg4`P!HbF#Vdx$AYwX7axA8By%#=8Sw7~3}22y@}U8mRtVqa11{;PYTKe0(flFkql>
z@zfpMS{H$WByVNk-y&~u&|a&fgDJCZR$$w%gF?A%TAQfgyv{2k;T8MSKE}~`zzTh{
zzLRvF8zW;~W-sh|%-YvW^pZcWgm=_o)eR8@OwM|VT=E@Tr{Bpu#m0og=bXD^nzBg$
zG8qZI)|T#0WDNfEX+W1izwO_b81*~KZq4=v`B*vI71I7#sYE#>wAnYatj5qW)zdYQ
z(Sc+8`BvP_!FPPWmKT`lIJ=vWbvEFKO;;Qw(eHBJEy@`ESZVGC_xd#kV^0%&pbELn
zri!SuE(XlW5t}F56Q-CU+<kL59!w*I2VvIPPxja>U^o5rG*qPOc631T$$d~$H%p;p
z$MC5Ev%u%NJ_lWqXvqT9;PZ}6Q&Q0H(KX`9!w1Un?VDS+%iPq4A{)YzHS*{Kk<b7B
z8~+t4?fvnDMZxcj@^8qWM8?=O;tI&I5?eo((3Wkx0c~2{xR+RAvfCg*Z2Z69ym{yF
zYnh%b%NJ@hjYLoyNcIB#oa_5bISIRrZfEq=oEg2iK?ql%KTu%(*4@vXW%1g@cQkpj
zn)XzTZ+0DV0`1@xHD^O7@_ZG>qrH+RW5Xzo-&5T2A#MTuQB))AX4Jc?dBN+M5|9(+
z_#m$EQKDsL4+ugghwxJp1siJGf-%I_f-ktK*YRpDcA&aT6Ls%77dPE1du(tlFvn86
z-Kn4|cOJn7q4`n0l4;Xpup^biBEWht%`dA4sS#)|JRv?csCVa~ZnV(7_Ng$mG<m-Y
zuYV$ebXpyAxF!Mlm!XP8Z6+A8b&7Dsn%eyaJ?{A{<IDrI^$D?iD@$6g8x-$_w<Hp^
z5+~VjXTPYEzrwleMRR-RW2XiUh!laZ{4iK5kz_u?drgMCNn+R0U@eKxidXJ0#R}Lp
z)TK&gXoOu5@lqw9cKWQ_m-OM(@9WZPqxS-REF5XU#;^5G+5+2>N3#<aq<wsQ0Z&np
zNpGr13dm`PsN$<-*=*=a*YM}6U+qcsV1XmZ#19bsHjUw4c<-*{oRVw(dCThhct<f<
z3o(k-#Tovko@19(N<hiUp@vz#Bi5cxDf;uhSrQyU+2o&AC1QiYktLfs5}V!2pjY48
zMfa+S;6lm&kZ=h^*{bF($jbBOpo#_!ku@fJf8wt%+McyjHRfn+LjGMEyU!FmqgSbf
zOJiWzz>ALn`9eRGPBkU^E4E!aP^qQ|(_=Q-dX#6yj_r}4QlPbLoDQ-;b=zei^!wR9
zbz7CK6Onl0JLnkCDiYwvIqtvHJluwQBSkcD&zDj7p~_iJzv*t#9K=~-&3@>;)Mxlc
zSVF31&X|l{wj+k3XQ^4ur8Hd0e8M2VAi5_PeA^iA3Q?1pm7_=$B?;=%Er&-=i4qHl
z=g$&f8j?t+59Y4J%x3<kM!d(%x$09*Ty5t(1uY6??uba+n4nXQ3kiQ+&c|R;B?J)_
zG@KqYsA7K`{N@TrW_z3l0yceFQG3v0kBCp=l=g2gL^;tJX8c8n$W;_D)#m_3^S=40
zqVxXK>>Y04gNgwgC>qYf(*#Z|j@s9U9fe2=p-!Wrf4^A?{6@ea>D-ek)iJIpI~_%g
z$H836cS=HC9`dJtkU5{;$SmDXPLt)W-|$1<;hk_x^Cwj(l#d7yUh2XAzb8BV%S>&d
zSXMs|Ek=`uMXZX?#Ni-TRvE_Y*eu))wzvqQkxG0EYR+;Q>Uq+yARRdW+V+xvx5o~p
zAO%_*N9B!8@qf&G7@Qv(zr+;lfW`LslX1pe+QBI**R6;n4%PY*0%@=Gde%ggcnAB^
zv*}RiwX%?85}f_MLgir?BB&-n$?4+R?S>E=8T%oCiyn{pR+AXlZ5j!}AW2doBR3a?
zrYY&#QGsGS7_#Q{%{XPj3)W7#{5wVKFa54nKODTV@)@`L(iQ3z_p4`a<SK&zcs|)5
zfdd`EaL{yhO!xfeCw9cR#k%OT--0~L)Ze%(!9qkCwHu6}{OIzEr<8Nm`}W?>Fh^E4
zVy%7G77{DfHG+=$GQ;w9DkXPY@yP@_x|=AwgP$P#RlUEhQqN1_){xC1uUTTvd)nzb
zzNlNMQ{GR!%tUH;@blXJT8fgyzrJra5R5Ve(Iu8jj~fP!Bwlu#fwSZQtgFsKJ~0BJ
zaSz6xeQ9Aiv*G8vs$W~h&_kBGEsxS$q=q1G^qp0f-I8HHYBa|F1DCu%Bnr3ukIN!D
zqwhAi@t}L~Ei;GPpQs<{!3bBJVEX8a^o6CtN;ibt-*t$F8n-oieBJHtitYLu|Jmbe
zLyv9Sd5PTm2r0$C3o?slLrgdLo~`ZvrJ0yDfMplxbBOS$6=7Ky_Bz>te?Hgj>*8j|
z`v4mrw@KAHH;>RC9<AG29reo>yiz!y?%3a4nx>MrT|zKqht!gZ<CI72^76-<yH?%G
z*0r%um8ZpAQx|c_OYfaN;Wk=mUmyQueGR?FKp3$y1WqnsOra6IF<oxL<xl)=;blkt
zWxA>T%t`UH;kJ3d`M{xyz}0S{nnK@6k^i<At$xH+orEGkw=-z_x}9sZgu-n9^<wPG
zR1SZa%zrAW+s$WG4_pKt9sm5)^Feb6W4^f*3kM>z>jWeBbU8Va5FTMc_{lZYGt?eC
zwO0?z+q*~dguYlW99wgCy(WX$rOuzDMjz0BMid)QIPa)Gm6Prwj2Stqyb^mve(IFu
zaCjdWE0Q);0W@_eFt%=Fvn<fAn5pyru0#lU?>L}RAp3l|zQk$?E8HCTZ!dbTT{lPR
z2mSa@^WWuim-@mo<ur=0aJ@gcH@Zd1Z*Dq)0dKC$45ve$mQ^SA55!8fT3?4yS7E1r
z6eypy`<pVnl}}2qN!QR(Tya{lJpyLahf)H=<Yk6`k*7<t)ak`Fh*j}yLIlMgQD{!-
zv`FmwI4Cggh!7s-H$#GJ{L4@Lbsk<hVmw)}YJLLMd!%nZzb@Lf;J7X*j_K&Wk)ppe
z8(Mpef*(GNd-uq0AjR)EwD@;ZMz^T;(5(!tNMtO=jCSu)*K5?BinFgLCmb?eXVRqg
z;aMy@n--xEa*#5<A)l=QchED=1V`L9u(hbudbSqhOjBtRWi|2E@TtxnuMClpG-Q$N
z>k-Y%r^RZ%f{tNGgHIfT1BL4mNSLuvYRnx}(sg_{^T<+M^PpLR`9Pv+Z2M86Xg@d)
zM19fM_$OEy<EQlOk0`jWzbrs;?PckKlu5giqk<A}+V%A>xAsxPgMmisBl#lwQ0p5|
zEkK~4iaEC`yM?5=Cv`A6=q@bhiiVD<yz`+C`}rY@BOsxQHoe{aWMP(<!F}#TTCKkf
zzfl>Jpe&r)+oKDLA`pBKO!)_}ExbPIzT-lW0EdSUx!LgPw@wv<7jWHpLmio}L^P-1
zaxnJ2Y4Wsv*m@<D@;VRj<{V$qo;Y*fa%)n_B}7Vd8tQg0v_4gRblnRM`><@RzfUPv
zip=IO<^2`vsw%g$F(KwJasXno?j!Dhohza+wOBGidb0=rWK+WF4Ug}{#^DHjpZFlB
z-L>TImFxWsI!@{6vwRgHKXw(a!0A|BD-n9luaqm*=$Y%{<+=ks1Jmb5(4&<lKZb0W
zo4V+?TYmKn%|=GVmxR(9aX-dNslp4tt<Ume5-W`WUxbI8yR!tG@L!&T4~ZNK=7s*q
zs+{R&5?b|V)g0SX3amjEh<HWe8N}R-MoTS}bJDv%;_p@RrVicD1X~e7a7hwI9bo72
z^#Bh)WuV!|kDp296clIz4}sZcg_S3E6UWm92GmjV69gKnv)6h%{%bRyn}oV~#BDPr
z#nGZq7q>jsiswB>ao<OJerd0lQ`E&(`-WMSG_CNBB+0qo?8qV70dr(m_lLc}azji?
z^>}Pa_S|`{Xp*Bcmr3f@7uxLEM#)_oDdjXua}0laV$L9HUWP^7_CJ+wYN`DiGSsLQ
z5z5q-+TMolNIe@**Uihz%kZQgM*mKI8d$k#PD_0g2)kQRiKX7zKxkkSw?w^o!0q;h
z$oZl_IMATD++2TQ{cnVpk<|my=c4GEV22V=^|Z?E5)U>42<pUpY<^t@?JH-qqe!PU
z5kDVUYOPuJdMtFAs)t?VAKzMBgkcO)!<|+iW<i&2nViq1x#~qKaJV0TXbD105|M7e
z+03OwGasr+l*0;u+Yk7gNNgcL$f}J@#qgOlMirfqh@-zd=t_N%-}wKDp$?*5GP)j*
z?16PIi`S77JdDE>pp>&8Bn=FC<d6^I@6>XyVy6D0k3EZRMHqQNiy6QkXkftLTBCZw
zq@HFUQoY=BC8G8}?Z4@G5Xam5tnsU+?bZ3XDmthixaUm=?w#OfWQ=2`XtEg9qM-d8
zo5;Lvxk}96HV1ALo6H`+*%57%;*3&PM8nOPogKg~3PY{MjygCb?`&Y4#Dp}&Cn<$t
zy@HHT-G%Gxm6=N!p^>4~Pu;!W;xW%_+$v+dKIfOZQrpVpy+Tbu2bneHHEj;6-LRxr
zvWX$BUOjh3&CbxN!jM7C(0>^FWUwMPF{p}SL#&>a5&yk*q~=H)2rAXmjP$N52(+;i
z9L-LJH}&r-EIVyFl(tIi!p&dd3*ljvkS12js}8N~X%zn8n;DKsu0PtJWF$xu&BC(H
z@fs|}q6zwFy~rJOfY3c7Lz6|F!&{^i6M|DN$!_yc{9d`U_t*t-ztAyn2EfN|gHs@)
zR5ow$mTD_7#i}wb{=mb@2qsUjK+W^^xzA-nsd{|&82<dtF=YYl=W`$8iaVSsPf%3F
zFU<#)L_$W@mAYmxt;v?|xh7_&?u7eDVYgvfEz&R$e9<ZAua!<--rrgM=+H~Pwr^o6
z;Z#-y<j}Lq{}f_1miuqA@(V0jWT4WSlvZTm&hC1gixUhNeB35n>Uy+Iv6){_t8JAE
z&N*Ekq>tlXkNW6X*ZyqPu=;g$f8dUjs_4EdG(pctC1a|F2)4bF5@rnyKB+9;Zh!I*
zLj_is+EkqqwUC`Ne0dkY--F5w!oi*hot%C7QVv5}5z=2r>I-<T`?lD={^^^sa4p`S
zv1x@Q+-d?QazlS^r*9O{yQ=iB?cjOe-0FJO6kq2W)J7jhYFM?McclGzZE%hov&?5N
z{1FQp2O6i$A%9zm)n!0msJgV&67WuefC}W7zj<Q{Xdl&(jPYxb8xup!r&2HtC?>*>
zmouPEctm)nu3im_fIu%o3}PE}suZN9J^sW=u^3+8z`#L(cnf$w0Tn>KVh(7sfUvA}
z+&tkz9E9wx``jM^GzEa#iC1X=;hY>u{H<zUuhUw_o3ygE^#(#VkST)t3b+9QaW9qQ
z<46Q+r<R%;EQHMa5|iQ&0QNu}cCy^#tw}w1DfrfQm3g6K?#OlsEFY~m+3tlmC*M89
z7_Gp~A9Wi-tl+sx-#Ux7;b^h)WW3B6vo(jfh3J{W*yCidI*efzvz3*<>_3NF?b5<0
z(aP{uU_)$}U`$`tyUTC7oQ23#1{sk3jy;qjyopBdpqAkIdEuem(Xbclu={n<svvNx
z-~BKmrsBeRk5Fp6@LSsOvN4GwZu(><XHL6;GvExI%eMr)rEd;axB$g;(R?*W<#Nc?
zk^6c4E>HK;HdAgGD%mz~L3}0UH*@X=nK(<@beQ}GXnbM{6zM{-+U?BDp;s2R9rgSw
z1S>Q8(0-ux3dANWHcg->s8cl$;0z_%p5?8rfcUm00(fEGKqdy_8$gB{2x<lV3D71X
z<#Q6xLpYt$*4GyTBpVQz7;FqUWVlHEK-AI&5|0cY_cc37UqBNe6gfbJA4u)M-vb>Z
z@D^BsB0R8Yu;ZgVu{Jwxj{tTWNI3_FU;zJ~ott}^=6HDAfxryFfxM-M=15-4)64+6
z9>@onWE%sd@F+=BeSLjkJOw~?Kz*}%`PqLHBUlHl4&cjymNgeU`}9>ekp945gkK}b
zZ7M&T8o-mETvzSEOfkccf0-IP`6c|{Qk;?W;qs)j-aQ2w>v56(QSGx3wN2x6tA-4{
zct|{kJjP5THPS)XmIxn{lIJ7LH@co-thj~DNwkaXj<zftJ`*+ZK*j=nLp#AS-+v^m
z2KU_@CjW~5eNXrE=3VoAYapaGT)HYnH$|3#mbe_=K9I5!PL$PHPl@+RH{ro=_rf&_
zmmy?jau7-V9oM3=pdsd@=J&2dzm`h5@fo?w_(gF&L^A2DdYxT1)!q~<FNqV-1P2;F
zAUJy&oPud-dVL@@w65v628IoA?cn}_+X<j65MF?}%$JCGA<hDs-XN*hm~RFEeR_bl
z0f@u`dRA@#=!bj<;|~O_H$acKzVP0_`)Up}g1=l&OGy@BLSATV3;OPW1N88hr%Sty
zyBl`J>$qhHFbuQVO<#=~R52>6sGN^+PQECvURJ5+^OUadXw|yS#}Bs`07nPtfi-LD
zH=tDsn$26ke?!O_|N9XV>S$@X1@Jq=2Ftiiyl?KCs2sD;i`PR@4P;+g6d^C-&RAl~
zZi=|h9Sp;!2-d~^4S~L+_SxCnsy^d4ti!`bZip(VML0(Go&OF!@8h|eXy=!Fuian%
zXCd5hB5)v}ZhKJEmif%z*Q^_&0F{Vjd>+{Dhh9Ry-Dpq+^E?gZv$lS)Bmjvd@P4O2
zmKk3#>o$Ec#5eQd<p?J6mc(jxty;VV8U347?7B<n<Z@rmav<K}Z;{NO)L}YwYMyQE
zKa`Erue#+fnjOW0YD_#JS*xVkQ1t!UybBNNRYv<`TlO3p6ruVMCKJ|<!uP=_+Fd>!
zjJ7m^m3l24)YSdI8~_;06fmQz4@n>(mGZU^TM^O?TJ-kMsM-9kFK-Ft8_4|B1Y#aA
zdjbio8|@-VP;l^zAGq2M(hc&^ME-5UK(s(gfx5aMks=U-Z2$_6AQ3=VJprN>Z}k0+
z$TNMoCT(#hfP+Cm=l_>Br(u~Ii*}tE07gHtPVYE?l~}~2=s^ji!jEV<;D6L%qW<E~
ze`Cu9e{OJqy7XgW%CRb21g=wv-e=5oCL9Qkj+2<dJ~Q+eixdSrT&M7rF{Ba*ochm`
zCSJFl+L|ZvGS%CIA9={XlgT<(S->VGfMJ%wVo;T2j<13_zwEop&E(1F$u0gWt{;n?
z-!fU}uEUL6T^72k@>{yU@Nd3Pza20+;JYc%L!!FteD4riWi?C#wPl9-QCyW~S|3{O
zS3AlyJNcT)60P-S2XgPutJ=o$kCTf-ZCYQogGJt^u28*$bMH@36drb5=yD8<1qe!@
zs0Mb;C=!8r&Ywx!t;rGhK!=D183K0Jv9U|R?AX|EKsyEAkHv!mQr`#1tZI4r5Rk1<
zTv&*Mhj#+<5I0jrCNF?$_XzwU@N=5fFVPhNRAm_mtOv6v;QBy8KpY(88<>M~9uF;k
z{o+|nR{vKJbVu<KqgEW3_tndEqwk<sXiZFca+C;T1jDMX;-Nu69`anP_3)7DP$&LJ
z0s@ieDCm$nhM%rs=o>M~v2KmQ4P&);d00T=+HsafpFgqR@b+X@jtV<#8Pt_B{A<YP
z=IPMpGLma=NH&UI;o-e|RoAGL|FlqUsBS}lDz_PfJV8=bQo_e-MRm|<TIe4kSVE{<
zBrV9`K~Sye{KwsUSrG2G{Vt%c*nBa~<MS;v*2Ame`ZlbO{SGShaFfOP|C3y%N&(Ly
z1OndcV~>%8cZMYh6u{!l#KPhhm3beRkl+k76ZZ`93sVkPA&+6S*&aY=5lze&pPI^R
zF+sc#cneGkp6gw^%??OH`@T5zPHzZ=*w}@ZaKXsznrq7Mc`3x*2-MyQyj$L5{^a6_
zaN5Qkog(b`2gh(6w7}Kwk#2s-L8Bn$(5G+{UwVcBh--sEtJ+GZSM_TGNf{Xw$|@lZ
zn+e9G+{cRPVfF)^kX6}?K=TZbEADq?^=CGZ$#K^+q~M*O0(HyakCSEx?}~fBctxKV
z*jRksCxW9>ixMu)aMloNl1@slA=S(!Bw_P%r?1OAYJ9gvq?X8#Ox<bE+XC7#TIwc>
zH-i#2_P!;4#`q$G)byfrAiD_`!p?3WT<s;ayOVg3Tk+12kcbG6Ny`CP2HQ?Ly+HU!
zV`HO2NrH+DJqd>y0_5~zZUYOv+rXa*WH}%U4QO;hQ1LlvO9R0@AT=-}I9X#~CJ}9t
z!nE#LzV?43W$@=qH=@qVmR@mrH_--%Tq*vJo^{-ez&nII?1yy@zY~9Cj;gkon7(x%
zDKF8(C0&<Iy4aR2p`qjWRfuW~tr)~^To{WGs}I@~z9tbOy`ot#S9x*kht_a-#j$*x
zsfU(fIsJ`4!jgaayXu?UN~pJe+TxJtPxXT617}IZ|Jr+|qhZHzC4PTamxRHCgCvFb
zRBx$P!hdWsO0gOL5}@p_3w_&%DFMnywbb1n9FRbUA24?OQ}!+4FUrxflijP_9M$T8
zr-~_Hmj<kNW3at=5$v^bU4yON(N}=qdb*wTMf&OhblE_301{bD0WP?v^R9f!#^<1_
z`9ZH}@)v^OzAwro1e;;2li5Eu#WPO;jLDSzsLZd__N4vSNQ2_6y^cAgzXZ%rAmsC^
z3|^5Mm8is4&Oc&=i<fp%3`LI9JYtBI-!c`c*#QW6ZW(>yRuoEw`pgtQO??pW)z!3`
z<OIIW$|hNcuhAEa6PDqL{C5*rHz}}|ScXi`Vmq^@==*=a1DS*leQ2w7HX~fDW&tX8
zgN>iA2#WDQ$hugoN^-7Z%j?V>ft`=Nf(x$?3_eG>j}MUXIhhTr+5w^>#1EKq+?MV^
zyB4UY+l2$SzJr<SrO6GZnW~DujtV1ipnrQ)q6i8vcVygHKc0#I@u=_CyyGh4xqDGl
zu2mvYFX`$-Wu7SAuJ-iOhP3mLYnLif@C3Nyj4T^oJ7uMOTYlYok(kn#P4TnvtY@5o
zC&QKN3e!L_Yvd+H^LrV-YrHu=WVY$2sYHJ7Ya>-_9_YwuuD86_`+vq;$&SA35Gm58
z*>gS$__L;brhsgg-qd;$>JcuHapw3)^q1Nr=9HK>c0%L-kVDEKC~Nmmi2%G*2m}z%
z9qwE*Orri*oa!yK{{kk{T9#7)`Eydr%9w+Wz$|d#%$Fns2O(jcd)`y@jh|ToLjfZy
zD;qKA>FO9RSpWsONqGdmu2RFFA}GI3p#OC;+j<~HK6*MKgI)Jq$XodO*p{tir<N4)
zgp;KcZn73{f#{2PEn556e!a4b&%~P~?I~Mlj*a~CY#0BaoD|F<SJ^2BbTZYYNST&V
z$XUs{W5O4C-b?pQ&#SwOS#R8}ToM^1d*~PssX4aZ_tSJ({*?LKQcNOQ`}oKB`7m<e
zz>yKVPX>yF@n*emoJkIooyX~nJSqh>=|_@s{hQaQ^F!4rbF2V=2QrSxATMVL_u)H0
zsr@*b+~V$XPzrWEc_E}$cAc&Dy<j%X{`{8!;sLf>K=S;c$08s=1Oe%jFC>ly%#xYg
z5yqOAyua$z^&@a30?f0Hop#UqrNiZPpV?Anouj!nhU$H=;2a_EYu~&D+gxAVbHP4u
z^nHS(7)Hr=mv|Uw{#}=(FDuX5JCZRrtHC;#eiE6%&%YVVt{nUb4_^sr-Hepaph14M
zUaz^Hp02f2G$SrkpDAO?b7Z*EcV@ceP2Eg1CLS*H6tvFol-om7t+9O`br0}q8&+0w
zz4}PcB-5njjn?f+m`4T=p?P;~?h3(R;8JWRRf1Qy0S;C|t&_>$NVLs~>A`bB^mgB>
zTJFMw=j6F2v@z<LI9-<6^gYY%)I5j!T9jq&qV$NXBaaW(T?2r!nhhvUMMOlHnP2#P
zz%=y2%mo5gpjO2-M891-@o5H@UVsgyS1m3qDX}m&Pfkfu%;Y`Ga$i65tpeNFu?!wX
zoc^4LKePY_ng!eoz_JbOV=X{H+1JN?vi_3F1d<5>^bi=&npd4<0fj<NZcK{I+l&n#
z2w`{7bZbrEARst^8%)pw0$v~#w3@2R9yDF=*ymhAA4#!f$*r)(AK)lOg8y;GI=pTW
z**nO78Eu}RKqIVweP~3(X)w4s^(2_g8xfmt#>skOOKc+l*y^oST)sQ9Kh9ymCRz9!
z(8j-GCtKz;Wb+!5t|NAHn6uwSh8E&<AFb=GSd1)okJOfz=_uLvAQU2HBeHJ()1Ta7
z<B=`s4u8&_C|@4bydZw$aLQx?GL@iZ@Mo|smB1TjN65ZX4TXD@NRw>cZPXJdHkzw&
zUor+cE1iJfyU=G<wEP(lfbtU(E`A`hq7c5_1snFHq$D7N7jgU@X#Kfe6XZ6G4-ad9
zcQF3&VHj+20B!er*}8^=*MXdhs_(fGfx^(|b{iZ$l0i@q@O5cv@dEra;03pXUpt}%
ztJe!b6-3Fb*){L{{R=!$6!i3act98o?xJ1G_G|Y=@R=gFe-gksjfb0?6x?4RX@|P0
zJ%FPMy`!L$1}97H&M&u<pyAwkEY0J<OH7kMFDSU$_z4y%`2Y?UQl)W_ogDCWZfYub
z&Px9vPKkDQVF3m*S|?dhTXXMJz>zU7IJt$q_{qF}$*vhj)Y7t4EN}PVcr_OG9q=ij
zAtN6&K8E{#!mjw^t@lunF8?W`*VifZ`M#4Ixx6=uSvgK#rl|Lq(%ihn+h%--9~aiR
z**sgkV;uy7(v1+jI>Nq0oQFet>)R9_+)W}KN&b8vIpFQB{1p}cRuSz?fsF6u`{ma?
zRfVC?29Q`U4xybs{Inh<IN#C5^c=ZnrQd3t%hKvL-zoQ9$}S&7I`DFcvUNBF4)8}k
zb1d1k68PzvGAK|W#J0<tc5PJkM2&hj4NA<Mi$~wwG+H>87MAey7*^Ut&RhrKAdnxp
zU<Sg2Q_rbk1e$fw-EIP&7C<z<oWRB0*ZmHM_fiPNINuY7yXfRRrMf<2`mo0aEy8ei
z=l%Sr2UnFg6Aj&76}h!q_+cn!i=o_Pye*I?U%l)@B@B6_-gBS~f*_}6i<7gTvIq3(
zm|oGr9on#gZN-wym`hnOA}VrO4f@U9V)`BVUyp_P&o%lx!yWI|DlyXyCrPTUyh27M
zxvzpGhOeRqK4B}ODYT0XT}|w_#7+kzW>@4EB-V0Zd&D^ygb&O>infvF3LeZ(0A8;D
zxim|7*zNn4#s!OU`03uS<}01+=qY*NG$s|Nca3RV-_>)a88df&UX{;#PAIJK-62K`
z$;l@f5?Po`B!^}9$8e?k@U#10$1E-EyKcO1jH@DD8Wp%DF0Rqm$AxoNM~z)WrclLf
zBc?v8b!@rl{6{nv_i}uEDETOI9bs}gP9`><?*`!|CAil=4|c955K!aIgy2^hy}}i3
zlUN~e{AR;YzgOC|(`Lgk9$K%_-0+(J+$x9x$z>M-pC201Z8lFLlH^nEVA*!(JjbO>
zQ$LZ5-j3ZiUd&PxeubT@@fD=TN)4iXUE#EJl5_6pucl(aEpW7jm^=R{!}4V{GBw?e
zUaNmg=w;*LeP^_iUt5_SNVv#`(S3oZfFEV<k4<s9(c>iH1Z_C~RC<!4L^(!q^$%Ko
zv+RU=WR@v^X4y%%@YUoN)2~;IDyr&xU)A5fJ9&(ENn&*Oof5O`?uG5NP?muoV8vM&
zg!>TB=6^zbvtrcUPJM^e>9+=L*sI|D%yD=Sy;{18d~?cm*dTlx@sMgpo4HSS_SC|j
z{?ibliS3kwMixTa3D;R8w8Q1)J}5UL$mvZdMLxH1|NCiJ<$LmNPC(`O(o>=aVvKp%
z#m^$EPL4?*xv$sm!>FF4m6fL8eAu-nvgYjCDn4AhWx6vVcvxX-2Pg6VfmPMls+iZS
zuupa8W9MeLl7>l(C$iWFHFmw<O8rBO<2vsKbl1&Q4O!%I<Sx(TpxPf(9df0WqZwTO
z-r5g-NVJ&Uq71TvJ395e{if(HH5j$gkxqqJPcE)zwi4R%q1^pzmXhRTptwUVu>-mP
zANQ}`&CZYFoB2jA7u~R(@R(w=R;~aeYv^7`^t~7h0CqP0KJ0woF#*b8J(!J8Ag;-(
zk#M2gJ>42ru$K*H>qaHVp~`;{@7v6(_2!kQP&F9P1ws#CcCfbI)c1jjee;vKU5!a!
zG3f{5*mi0gP9)(MAD(*73>&UnsFjo-=Qww7nJaE^9X6QRSQC7_Wq38H<{G4N$hi~K
z;zw55qmk$0`FE1qgA06A1}Q$^I@iY>FQ;rD3qsK`$wbGLk#OY?`EGD<PQ=JC3On2V
z8*YyiJlRfbI=2dGJ(iv^D48v0%TC}Qx&6&3_NkJAsCxsylh)w;M%R-`u8Bu`#HPO!
zn(7DX^mrY|9Sw`h$st?BIuTKUbz({fj9;M={^kCBF--vnhjI$lg|d)T&C6u_yU^RE
z9u)Ln);$C`?lkHI?WQm>t|A2_OjxYc?imQuxP>1qDG6?w$F!51%@B?Vd!CNdvrGTu
z%nDgbY2wO5z#mifrj;p*kMBbgUmMybI3J4$4qIu)kU2*iKM3g+xhN2)<ix8rnNC*D
z&tJO};4G(~5V@<8kzkZ6^&AqV3vQ_llRpc&guR9JP%go@2yrmp884Ao_F?g6#P*cq
zDTs@L_2ZB@C$|X8WK3pEu<X7%TOh{Uqit`HR-h9rh2OMf_-}HIAC)$udOuJ{r7Q`G
zF6!54jJ4k1fAjpbDQQXRv!6r=LGCXv=5~i=I7}HAtH_j<!=Eumrjr?AjT%>C`7j+d
z`;Gq@orh2tZ>`g?$cB?OYYSHR&<hllR#p!S2%~NoE{`H*kpxo(f5v{6y7VTXNC@TV
z3_`U2Ln(_(AJSOw7Q|%N-W1^#L|HaH7=4@#n=e>15}Vf1*7WN>JjKdEo?6TsR%-LV
zCY4eQ2Hi=l*~cn~5vDv2-Cpd6<T+Wg;~jKE455@b^oWn7S!JohnL(myT_r<9k{uIP
zO?vvHk`U4f4W^9ZDLO7lGei`e&}b%&DXMOmZwIVYRYw|{_GLz~UHBs;O;J5QDfC#F
zX9{F;u0Koj40b=%3X9}Ks98G9FHs{);drvR1p3%iGi(v9FLb~-Y4KQR?=eze-7=Gl
zvK*K%hdqE*8Y1pjQ0auRS?3&h2l<~qs@NkYE1zwA5M;W}b6yIn#fN3H!A&tyMdnl6
z?=Sb0VfMD}y!?s!U0Tc?bxXA#&^Mz3iRQ}lr){#*p~G3-w1Ejy76$q=$FYYgOn7FE
zMr<MYV-O5Hm`}Yd$oZ@G<EMGJA<hH$WG$WU<&+eeN`5Dk5ndArJB&q=$f$F%m;r|g
z139ns!*&`z!{C+AM86rsFidL*nm(Ck{oY^4s%CZUq0wIo9-@Uf-dI)RnkwiYUn5Qa
zfr5ei`zLnMmnD?2lx|Appx<QlR<d)#HIPCskpl=RY#JCk?eAYRQ5XD1pmotIKT1lU
zV=ElrpIDXsy<dek?e5m{_`SO}mRmUVQCs`3XOjT^_MO=k<F(Ur+4&wZBTvlS{@Ap!
zm~H)J%*ISez2cY#IF>DlxMx<huM_B7j_-chh+wd2W4BM3g06xuW|WEfR1Ztm>>+0}
z#L}z({x;vt!ZA=wsuUKIm&vZoX_m^O-$Q4QxwpQ_d1n6gzyWig2*^cVUeYT(v|*p`
zj*2hBj$H8~LaC2Y1x}%E|M0WAIP4#l8W{3M3>Y|nUdV<(d>?-9(R#VxQc8KS>mwH`
zoBOWzo<JN<zw+`)Wb#MC`Q-+m2^?jGq}_CxII}i(ZRP&neA){SsmHydxjXdq3fS{3
zCMB3|a9H<=zDP5pJ*S?1CDl;>C8}5T2M%Kh9%BeL1kN?mJgKI%X5nYdYlfXAmIxD0
zsVukrvK<qdBzp4!04voLh`iXr+<)_bzdthcHu~E`n_u34^HZvV+WXK0YCD!HSY)Q7
z64Sa%ETuesS_BkJd4@-@ki$*ki!_G98nhb6$0?3k4|MkIc?5j83|l-XX@@gtrX<cN
z(woW5CN-ota`0pisOz(W4~A2F4iA-W0{xZzcsd<C%uhsjGYO<#L~{X|)VQlf9NS9v
zv^6ZP?p*s+4E`9|=X0RRY2h05Sogkxpa!0&A4$D{q=c1D>TemX(njwgyIQ>NHR$43
zfkynx1GJBKuHy_gI4q!p=Q)A@%D7{us5(NOnx-^?@re4VH`p>nimpH?hPaj7-Q?kE
zD}ap1O(*wD_fY+gs{ZFn0}FXs<_~hEKR?;dVO_XNlqxT5<%CCtO9y|0u<^$cWbIP(
z2y2mNS6OmylhdEcn29H34oLA$xX5kN`?b;K9{2{z1lZmha%G=gIAJnGIb@<@XLK%%
zUnTX%V8d;)1xS^mgNnm{ZOR*)d<k>RMyy&RShGtP-_~ift+5j#8`KFxLnvU)7@N{v
zCaJVZY@=K=(-`F38tpTE>P^>0DLI$I@H;b|lph+q(QC5{eqAsBcaGow8@GBs)|Qvn
z{R-!i)N%+)G8f1i5bLMOGHYtcx?5-IH7{f9t<z-Hi{o4(*C-{lm=r2YJKV;hNT4DW
zrLVUKZz0fZfT{ZOd8uu(yR^IkeRHzqMq#}0hEy7%<A%Wm3JTfHd#>?dzxrTVzpbLW
zqN37nrtzq?ItaJl00Z_NEYu!3^K7hv1;<hHg%7@TmJ{tT6~*ndF!fC~-;J>}$IT0z
z2;$OZazl|NF}u2|{YJA`dM^&GtX_JIjnnbi?LN2zRe-CyNst<MSrR3Tw7=9<=Rle6
zU$pgj|EKq;%GZym0x(<-Z?!~pJ;U>*>x*kh)U<G}yYhNrv6|+qR#ckjnRHa62yT_%
z>x}b~=jX&UK0$>>p_+bt(%R7}F>*y}!g_BW1%e}bsCM?%io|_G;IeaW(q1hErT&FS
z74PCkj9(vzg33*x@PA1H+V!y+m>B)PS^x^#NgmCb`NF9W3EkLn-F=ws*vJLJcx~u&
zBkBgn>>R3J+4*`it+B>@4C8Ue8TPL<WMrewVQf`@qadyv@H8xc&c-I;jlEb~c2p?&
z{4Z8$ExrRg&h7VJq^>Ke(~-cR<%LOp2f0I>jY7{Hev1R&8mb^=d=Y&<VLg%6N7bOj
z)@hD11sk39Y!<Tdc=TZ0dQlyb$<C@|_9!W)NFQq)cqF-n1|LW$gzEH#Z?&d4UmMs~
zR{J+fk1Edeb=9qM!29Mml=<wRe^;C6?^#<B%YI|0+_xu5G#wWCE3Eg6-tp7K8{D6Y
zUN#aTbrseoVMCU&w2@28$D0CcP&;-h%WTY!Zd)8zmYfw%4MV?(h&5#F6nBPYmiD42
z7sSVz;-VL>SuYQ*6h-#Wg3xL5hq2mb$!UzY1w@;FypI0wD@_s`kuS4?aXb59H9_~`
zr+a~p#;CpTjK0cfn6ybSvFy|0_fIoe6K3i&JT|0%N7utj4Gn6CahBl8q@s&Y)-yC!
ziMG!0i8AM7k7R|U+!uMceRN~z@5sJ16kfgcdZc1ebgK-V-VddV@@OR-_;V|{_osD~
zO4#_dVY5sZ2c;MMu8;KQ3z56kFrS@EEJ{&D8}aZ*Sn$+QXsG2V#ZgL4OT>t7<e~+2
z)Awn4Mf#J5O=t%%xzWyy^NHWLH65;bgH??G^smQpvsE@0I733KCXNMS8NF6SjORtq
z)2dx>GWts7NGEzzqc-TmKO~5AOB)rt!9zi^kPrpI$BN#_@>meT>1(T?$cADSydhCk
zba-UyZSb#hUKZWYeDJ>!RIs1HxvYH@SFNX7HVO0i#Z@x;`<{}kjGH1)VW&bv(|1p4
zKg{xue0aI8u5HCu=YD1=I*@8)P<)Vo;OcmIL8igwr;QfEloa{@KEzm@C{d(Dbp&s?
zMG5EO&Msl|MPu~MTL0n%C~uIvd}21dd_VL0)9W``BAxUBDchk7J|hjq`n<}mUY%!o
zvPXA@MGo78%Sqvq=<PdhO=(+Qwu9XyB6u!T<sGOi3-e6aY3ouH;~&$V1)M%Xc3u8w
zd_4odmQu9LL-nkn#AIXiVzts_XNwxS%%Sx1nYzkL?T8!NXrycUw>h;^h+O?UvXi&P
z4;YTmb-(s`6M^r#HQTN``F4VY`9tvO>lMw<qfc$Wrjp-3S+vwV`1~j*8~EIQwBg>N
zQT_Ty*HKK|?>eT(Wp8CjDD3|{`a=Exz7xF9A4C|NBuQ6hlaCbP+Q@GX_p-0MPpu}{
zj4W->PMLjMbo%;@kat=cn?8Ad{(EhH_o4`_0@}eGnz~cTL#aMFOX6)ir62hIH++YJ
z7=I3%vVt<2(GZ&_|NdD1>lZ2xGSYH}W0@eAY>SdWIRMEmG3pDJj2W&+qqF+gvg$lm
z#*dF}qaxQz-<IQ=tIS3pj@6oy&=*~>%(If16Z6THh4iBdT-lE?ir;<EBAgu+M3;65
zisI^M*_az@%tG|(9UhIJ&-ia2U2CNxX6iZL<C&6S3DJxva&dlI4^BVX$I;i#Mz4z+
ztNnA|=~gxYQ@wTva~&2{h3=$*GZ)wE9=u|~7|A~2+L1uhBgpsE;PGAsz6Jr3h4%6!
zin?!#S8(0Q6a{4B<g4WqP-ao9>}HkZ-heR(8H_wRrlTA>{yXXOTmQ=W!qK&}M(y4y
zf`dudV^dI7M=#=WMDCSjAx{WTbJ~Ml{O);K@NfZ|O(i4pl5BF3VYVv-lNvvMQkw5M
z_1+=u{+oW;g{57|zS8Fdcsj|Rw}R$hd=GL5-Y~}4&7&COMRC5$a?Qz7wmLo~^~k({
zeXr7}M^G5`j_t1w(krPLZscS%12hOF)PLVQWu<yLi^JBgW&KJ&Nd;fXJojQn)f#Ej
z%-H?R@Ojj^v~F)F2b=5f!Agu}*O#@&6vNbdtPH1rnc^C1#TCvUa{u<8M2!gc6CG$c
z{$^&GmyD+N)mx1muqUXMbG9?3;EAe`T7{Qc4I#p5ld(#)l;!%kt#zJZPj<TH)0l`R
z9@OzQTa9bc?5Zzt`J2}z?RaLEHS_AH=i!3J(qVhtf^()Ig5*^#`koUcG{`PRY&ReQ
zx>TtX>Tgq&bg6D<`s@`^!mI_MTkbYy>;1OP?oiDLY;E!v`8IU19A&=OS6}%FrXN?p
zHR@B$2zG&76}C&1waA?Jq_^om|9W@Ia4ss?vUwIZ_63z#YeX&V_2a+3cll5G7y6!J
zw$$`_-0XQx<#!%MLXwFY&JDR6zxw)g3JOD2c9^o1T2wH&3cFmDf|?6QbPe{H9m^Dw
z7%4et>5^z_`f2)`3RX!VE(8xgfN<!N_a?LY;%;)CNQiMp>S(orAU9-1sjzwl?{IL1
zr~lER==yA+IMMYl2EBmtg8o6$%wwcCnKRkBZ3F4g^<Wac8@<P-*EOnURaw|;aLNL}
zslKrlw1|HXxATSTCh`Oc8I5LOK~hSfGOHo1Ln4xr(jQS_uC~NjH*H6&LuDnGe?KW5
z>n2X#)w+|;>m;<IRJ9ro5(f^u;6+0gqE^j{zTCu2<KJ;3$+ft3k_`<}je_}OXlE<4
zDd9gsLR*^~up{m=P4!7UIwxaAWfC*%SBttum0nT3qb{Rc8A~(0OB+NbzPz487W?-B
zi{MU0;-Bjf%tNdJ6v}1ejqiDGNgEcZq~je;=C`DS*V1|<5Pmey%a?^ihPg!X616JD
z;ZCyXRtp8aW4!5&r$x#k<Fp`08cLz#-Dt`>HIdjDMVHZ6my5k8cNu#nlDju9<<Zyb
zhMI5r^~xOWDk~xo4OE0fAKH7h(>@lXEmT}E_M~E2OVhcLEq~g;Y2Ti|b9D^v!%_95
z`r+5~U2=j!!cGaqa%=RYQ-uX9O;+UAh(V)+fIoGgS?Onmu?=hK&Agj3$K9;liLi1K
zL80u&#{-Nd0aKTQv;kxqmkHY=YsU84RRQPFw;Vj}Y2_@FXF|(vCzBa$=GOPs*>MK1
zu}Q8;&pi?3@JTqs5}F!)^oIsA|0UlwT2Qfuic?Kx7N3_3W$$;`soUMn8A11(6R8I4
zP$3t~z6T!-R@7FRPrTOFvddi<c)5dh=~`Jc&y#MFI-iYu{4ZybBKn!VqSPB}8!LU6
z@*es{g7Lj}GLtJ)CP`>NK*eX#O&5#&ID)UlO&W<u9oZE;dvcB%X7_m|cEr-Tm#bkg
z3FptTwN$D%ZI(;NnE<QucDdDi>f1Z7s`=~0x`-&d$qF$OAa+wwWGhbel5t6fDNU-d
z+AimPZ$kAOimbni<Z1m^wXG0ykhPlEkTq*kJ?%<m*w8{Q+=D2%r7lU_{j~w?QcNfi
zZ(heJ>v!dK&F>93R-8&*q3z!e)tgry<t#L)tl6A{2ewHdVr?Y3u#i3}3GwNNwGNwa
zLwe0(UZ(KsbCzv7{k@-aO!lcBi?f7!`^kYk{9J~ibC-j91nSYq!EMFp_O<{{qc(|m
z0(eNR@lz*EDl3<JI_fU_d1fZF+VqgRTm-TCOP0SlgDIQdM<bj*Ae5n_=+02<7qbL3
z8DILyqxs38ql(bO&`q>YeSQ@8*uYns)Fd$eQ|jlvA2#nzp{QJ9Ud?s39EVJfuIqj|
zyh4{*|M&f}s*!7yv7I{W=WXP>DrcL5cLomEKmRUyIh)Hq-d=QmP-M3EDxb3-+Fygx
zT(C%W&hN7n`enPu9_yhxIEVJsO&N0|uF$bn>Ndl8T(qKNb|U^K?$fl+?G2e{g(4FM
zU6u6RX8p{;zN`LQr?IaewZ^{RmZjX+xl^878b_YC&218yi-xEjxxtUE@BN!>X1IvY
zp?vCM^L_gAdNH0_Hkwq3;X^z*!u`#O{rx$>LU9a$Ha%bqQ<5-XNdEVHO<4NJ6R7WI
z5Qz}IXPH91=54aAuUYU=4c?z#mC};{|M-$0935vQ=JVPHKNl1MgJ{xq@y6G*nFZ>B
zg;$@$sOX&)bRVyO-;%~W6S@jZmFqm1(-YeA6&~}J&vBnxa*mE=_T_gXc1q}}yRIga
zzz}s^MV*pW&k8T+>b?EIuQPt)J80^DaQFC89Nhd9rfeR|ZvO|Lke{lIRP-)a!f!Y|
zKU*Z$Y>7uo_REnP5iRdW_C46t<AuIMxDI|V<q%bV^ZByDrc_CftDIW+YYqYs;&Eo^
zD&Cb>Rp~d`5MZ(ofGlVbntlVIab2L*19*CB70IAI&w!~98bY8G6o-sO_}}4Vmw|G+
zhT2n0ilR+bf-p?mX==`Gk>^#JqR(REMiIXSRW|jv>t}~_l*>)%8GZW}+^A4Gu9iBm
zAjH<xX|0+{9zGa9mXg~NkE<MfTuJg}Nf<rIpj{a*2#(6(Fot2TI<gKcE$04vQB*=F
zGt=R?CHjD;n;1d!fz@YkF0F&-=Ud~Q<A<!ai*fTwYUIw)x?p@65>f$Uug6z0^S^|s
z2-r>d<{z3YObU7PlSk2^1=jH?yS2;S*68467W7$%HH)*P-XFKs%wcLL?~J9r7Y7t=
z-itBLu-)PeyE_25dj=G^$ETYvy#C@6M4;_B>3SB%Tyy9}jf=oY?;QtEyeM9)Mm~L>
z@E2@+A?yJ<0?`t>3!IQu{mLJ@b-kUn0eFOIjDnxb=tufOEjRrF_zl&y9N0WYv`;9b
zuxVdrX<FgSrm^*~P;Prxt@GQ;;Jf+JJuViT4fXH;wwByNp3iz=wwIfF_wOD(dAfmY
zl#JcwW)V~16)K&~hjJ5fyXL)!BF@!!78ocEs3+hYWjrzWIcbxF`7=$AB1M#ob9A@3
z&{CT}fr@-u78Xjww(ZpY76_Gi^{kjhxihb8uiyFQvzy!XOINg3E7TH@9{}!;nwt7W
zvT>1Y-*J_^azqM(lT+DETX~0sk>8v`JU@xpD2o`D*{;YoUf~ciqwKRzWU-9lOQ9U7
zL5cFfOcP1A4#-+Vuf`T}-ZjTLorb`*E;rp>d8QxPE(&*Zk1@Ge3Oa~&{yWhfv#*LD
z|AfnLi1pERIiJL>Eywe`^OsrkSl3#f+Uy1TJbWdLd*$2h@#k^AkK)@)3E?6udE6d-
z%dM%sQXG1As;3n-tGG;S=Wyg7M*7ZlgK>^I8#0+sTy%U^->x#C55-Lur;?2b4eE5P
zQfW!{$qm(`k>~eJ7ofFVe-ey5tY!`{BF5zGIiW8wVhAOy8?0qEqlK}3!~b0m`s?Pe
z!av4b$KQ7V=`2appmxdTC3;>*C;cRs9D!%mp*H}a0zq_rw(|sERFwC{4*SD;(y28f
z24PKk(uudiy|L^}UO1uahVj)5?vMXN)mw&D^?lL8{7^u;yQI6j6%I%v-Q6uE4GPjF
z-QA6(v^3Ho-QC@N7yo<T5AS~bz~eb*?^S!Qx#k>mjG~W$<|jt@bW6CzP-!;ncuef$
zsR&Q1*~Y`L@VUXvvAgmi7(ZLZ)SYNuxE%8{66n>#bm1;?VO>u{L%6R~Yr-=V+;y9r
zR7>ZMc)r`G9JFaJeWirBrdjk%=fUHTFVrUw99$uZW1>&JWg6)Tj={7Z$*5Vh5&l)u
zI7j4CI>qI*AGN5;UjAZ9o~pgY1Wwx~>Q<^1S`h0{I*P8eh2NY)(%~e;0`A5~`v!@|
z&^u|+Wjl#UhK`SxA49K^!$`D``P3NHVHzPZY_?gpCO=`vJ_df_c0(<7fb#~DmVl6~
z;r%<nlX%@9&Ex}H(Rw`(7S-j&sE7#AbC-~SMK1@U;(%HmSP)R-@17|BE=d#>4VtC$
zTF*m0?64Kz_F{Bd=6Ewmppcsd>Jl3^=YaD5uk1?Ft}4aTu%wJ^?VzXv0T`l&vE<fF
zi!#?)LCQCXxw0vJghpvzGi+0(_PF(<4fxgTS7s+_6tRAh?o{0~=^`fw1&8U6Wvu22
z6e80VlsORNfzzZjWsH%e3|@2KbrZ>aEbVlBD);a0mPb~x_(PjyMmdz6@TFh{OK3ca
zonh~ARe436dRQ_o)<hQZ-+OTQVOkrCRN?>jv+QroGY>C)eps(ggYClCInzYTlxu*@
z%<#URD+dyBg_&S!l$5lc^%AyGRJNQWpz8usgYogDmNn5#zZKbUS-goSw-h4V<~Jz?
zI8!dm3mN43Vl_)pSu947E*O68JVbF&DiFN*_Pt+AN`>F7aK;w`I9%(~nvQ0DJ<aNc
z@{WbyF5O#%^~<W{;U|R+KV~;Y$(X1Osz>oMg`DCo-gy&#`RB4)^zbc%Vfz!ZFvr~^
zk&Ms9;xeNKf^FA!o=%+6fFzIks8pkcRVO}-q8R&7qvo~`cmvF+hcn}yBQqNQQEGs{
z0j(yJM5w)w;K)y2GN0|*?ztinQp=q0JthYpu@T&4^!W@WIdSpv!<iy0YhS>-f$X~I
z5VXS0v*e74-U@KSX%~Qt2dt4qR^PTkLj<7@tosvO^98yeQ(4K^JyDBE8L?S1Cb<-W
zO?76@MeBW&S49AqX!=)R{k*2eSsM=3v{)-Ry_Oe|v$7?G1znwsAVZ9ft<1K(S?#UF
z3(u5+>tt%_;|Zza*vn@xQSac=jH-n;uE9kGg+U8CJEO;9dUZmT<}!C#KR)SD!(oYQ
z7;2Lwrv=^1$mp>Z{-So5pE9-<pN}9z)Do#ZXi<_`nE6O`ywavqn3ps^73XQKab*L)
zG%tY~f@L6>V?La6)zJRL^tpy(gqH#^<^b&9E4ISzG;7HYXcF9ZhhS2WkaGH?yL~hG
z7u7bk<me8e0DTKi11I1gpl6mNVH}i!HU$obUE6D9sb^-zKhb0g4E;>2E%0dw;NIC5
z?x#ZTm)xo8{<WUE6cXI$zw4?FcvN|jySRw_fmEhgr?WP#bH5NK8y>xm5mC%dm#~+9
zPD&Dn7jGgf!(Kq{d13?`_EYFDH39TX1G_Y#WnKQ)p3?_Fw$coM1D&0nfB<>L;GLUz
zZ<2k>)0DdY)o^AzSg6hK1uam3mG3wm?g&~*wOF|RSrUV1^yM|W09P&b>nxB`h+z$e
z+AR5k|DY*+Ht$wBQPqdhdinjZ+6!wzJ##ntLXt&aRfnfzwX~5DK~jIZs7eT#Q@iEo
zRx}xi4%v;_RGkFiS0I<ldP_)(MkDw&dT;H;T{WT)vT#uyCH{$r^*axzMifq=s!9(B
zx#q=F=^l?c{)yYg?e*0#74^TsD}}GLS7sY$1ka`}EoG4$5|+Oh`A!+VcgxG9l-iYZ
zWw`kW>9ug}S?7P$D(c3yzLHV`>Mwaw(N3UZNdUO6Th6#<bS{9T!z+<WXin1bHbcel
z97OUT+duz2C<3-*x3hI1^{{Ys4eAzv27{j4T0nC0EPTz0qN?7`*pkKu*A*jOx4saN
zq0g{%8@fFyX?r(k^Wopv2ysb7!nzst$U~b)vGUbLG6SpOPt%Eop!>VtnWydF;TD(u
z=^K4Em;nU=yW?8kwS{eeYCIb(XVnHRsM!X2$A8kyihSl2AdSgRrX<gig9F7dY%c2x
zPuj?NQH2xLo2nw=4>O^+yods>X`F)EzpdNO6f!-uw@#^zt3ILHTI#5B-rK~UcSH@W
z4HUH97b4)w#f=b=!AovFU>MgX2~f<d=JHCL*!%Z#v1|M&!lI+^88bC~`?|G}OUuc%
zf&p2`cqLE+5~wS;wm^#8eJ8!aVw{}3X*VYf@Z&boO7s2)?_~`{PJKYNfQl+t>M%f9
z0b%M_Z6=_^3bsXFtA9nuktj_Gv@vrK=7y2&Asp=S*Cj+wGZn|z&wXwl^rEZo6%$_E
zmDBh2K7Ru#q(+%}_F&d$tZpWoNMFGYOBR27v7=s*n{GQAaY|t2+~U8lT^a0Wh0$F;
z*PhbvZL7>n0|aI?3(=$Fx^qTj_m|^$qT)i3L`Wyw80ec%7qM|_GS6Kti?I<$^zMg4
z|GwN(d+vW=qe~ekq08?>Wbs;KqPIur*<w$AY86DAGj4sdy@|{%e_<0hohKE!W?rZe
z_WI5?A5Ph3|EpUj;nr?&kaq`C`>He1{5T}ox*p1qLURgn-iYA2$8a0UJi(D%)uv@)
z(gm#8B_#m;*nGcVDn}hVx#zW)p9rw|XMn}?wRQ$*Y%dX0IMW$^h^%*s%1B@oh!~=s
z18R{pzt-3`ko_EjymNb>HU~5ld^R@B-Z7Gg^-!AO5ea#GxwL55b}VJiHK+|%`<kOQ
zc}nE7KfBJ~*lTgww76Xz+8r~2HG+@6wL^>&*UB?+aa{USDKtC)LYZIn(Y$(`k3QP)
zEbzXuu<|msl{89PWhAL_yGvnIqnhmMUKts}39^7&5*O25`+?-;IT?uIR#q_^8&^2L
zYTng<TIM=oK|H1Pvk;5E|I?hYQ^_f#5eug)u6TLW<|YalAkmQtI4yv5Ty)4gzmL!>
zouD|yM3b43u?5%^d}D}7otAy`Q9Y0o0a$$?le7ttV&blS?{uYkjYCJ?>IphY=lQ=H
z$l8zf(VE*WLdXj;i$UpDZ_x3R$fn|^M65oaF7*h6X;vk{$ZRyE)e1!(H4~-6MOv^a
z0|Z*RrikN9N7`RZKRJ90&c(XDEHZs#a&$g8>5?!`dC^XZQm$@60Y#NUg}ExbB_e%j
z1qgJmV&i&|PINF<e1&_f{>yU{!XBpL-LKB~Ao)~JF~4BFSz6%Qvu^(F>usON^G7_N
z6Jg2K)S{9mvta`A6hJS_;&~HIX$iD;UOCW9R7-#Ux#60~cbf9`?PjnRt*z1QDaCb`
zf`DZoZ5nIT*Daqv3$`IX%i#v{6C--{wn{y%Z8|$odj5Gf&*__o(8zAc!j-e>b_M6w
zESnfNIv4BL&v8mR8Q^$#*}~1$sD#51T&+!9X}c<Ns2Y_}KqMHGoOndjuV!UsoWRI5
z=G1dDO`9mop7gU*Y_tZLFhIx)_>y&;hPjrAWk>^TH&cN6-|U_<#yF@v(Ml%(Jh|xc
zfHYiP-BrwFETYV;i^Darh-oxw?e9v}TgFOY-SoswjCjmWAhm7R0_}62xqi<<S2qb+
z+*7kGJCWrB>fr%+NcM3VK4o{HNWTsa*PU5o*JB%#1)WKsud#xe+6`5{@a|xXLsw7N
z-&~$$#q9&~5=vGnsJa+U<8uN9WVpJ{=;%V1V`8-WGrB+j@X#?cQ<F=@#KgvGr%Nj+
z*e}E0V;Nd}XU$<<wao1}J=9&_i*05l2Tfb9{O7a@qH>r5oSC!VgyhQ|JQLji7QfU<
zoyn6s(z;L`Qw&~{x~+B@TVK=8huH2ck!-9hj0ieYQj85oVHLLCtO-gXMsM=C7Ac){
z!F*$0b!=1vwI4v;&FAS}=;5%&b=lqA_0vCBLj-Tk<|TOucWU|FqdRF>4|!-#NeMur
zA<KU~S$+bQJ+(p=mMIHI73IkGu45U0)zhon^z0)N^!ytId$ltRJfRhSDc8YPenPxz
zKlFSP(tq^Tvvuu==S>9f4s+t*27K-;OKrZT*2!)2KPFDOjkFD98=fNwzC%#g`1K^t
z<*9ep?9sK}3+(Zw&G90N&=3Sdu3o^!NWmO*rKKIY(Via`t|f#X9Wavo$u7!aXB0-n
z7Jok;8M1keC-UH7rY5ns+UcE)zhxGyzA?1HouEctzQWql#2p!o5EEC;-|BBZ<#Ief
zA6VsgD4kN^E=Zz@a$+0)b_Kbm#Hdr$1RD#Bb9q?wMihFbJ5fz4=H;f_f)jRtC{4a_
zMGn`7JGH=aZQAAVug7G&IL$@oGd80q4Y?|p;B)oC%AA%~P6i5>+$6NE{~P{Q<U`&O
zchX1QV;#3Q0w}Hv#QzRfK19?Kl;=1-lwo5A7yYRbkiOs`!PJ3f$W0&>Hj8x~>Q9Gx
zLiK$frkk4TOB^Q_O89!Ip><&v;W@KIdET+NU!UuNd8-jN-}UnE%ZO(uP4$Vcs2#jF
zT)`L*8$krtZT(Q<GN31Cj(~59*HB^fZlyNi*uKVF)|h}f18?Ugx}M|1(m=%$7JD2)
zO)#zcv^JYw6mVkrY7*yiphtRdOi#EumfQ<GB_;5pbOZBTeeIB-gg{Ivb=HQP+>w_k
z?LuvGV$rVQM6sb#jsaBAELRzdEo=Zm#cHi`P&X7E(jWr{wRs6tBE5g-y_+3%o;jL2
z-2h{HYiE3^+)kzZ$9vV={yn<pEA!>NCD}C_ATS4i8vXiVhw!YTriKws8+vwjwgeO~
z2iCsySBLXdEdea#!Vz`O?5u|We^m7gVv2E~Bpx^{ADm!4gJ7rRP1EPr>;}=2k;v6I
z{>d{-+SE0f%WA&dO(;Wi?Iw~7e$8eR7%#DkYaCG3A-<o^Vb#UsV9i$UIy3>;Y>8Yp
zdis*)H`z^1{0M>pI9WG)Vt+Lx0l7CMk5*b-{D4mTwVXvLC3y~8AWIZA+jgnEp?I?V
zNCe}r1{l<Pv>F5Kq~!&bD4x|fmlFPq3pBjy3x{0MMMOUnmD7^Onm7ah{^`BOJmFio
z9YEfW)5va#WT0Pi3}iEbg3i?*MS5a^{?-PMTABiMy)??z3MU%@79McAa*4bW*aJ#^
zd3nj*aRsq#r?V6ft9lQnANx)3f+l@hT2e?EXvh<yJC#m3kf5N1()+tjj6F_;HVKYy
z`BrS=f{^BM%fu?KFOFp{h_d_30uK{CYfGAXDzs2D?TO+UTG|0&wyCSJ)Lj~-p-M*8
zUe?RrS(@bgCYO2#2uklP)E^PbQ#puYnxOkR;QxOu=}=Y>s&l|;Eh*9WzQRVA%M@<a
ze)FTE7r;wj^Cf3BEjg*hDfi=!TOy<vLU4ppzd8l?N}Rf#%%X!+L2_od5f*|x8T+TS
z<hQqab{G29MVn7<(9ysklNsYGkxSU$t`N3~I$`-F(;pz<{(pG^$owH5rDc76^*)jM
zJDci{!@84W>sr7Fcg34<VX$pq)}m05g)aFdIP@AQ?uh@Fh1yB%g_x-07(yup>T~Zv
z?ciRi){bN2t8=@)Zd5weWYFPvjDpsLMVRynlDA{L{2u<PhMZ6?$*p|Jb4l!6jD>p?
zgsM*XXhm*wZUTec%Ue@LLF?Z!Ev2Q~?vYl{MG=1DB~pZ_XeH=qWe`z%-i#-=Vk-V3
z3s?9mWu=%kVrGUYa#KIBOvu-|sd@{8iHwQZ-C~lhAIh5l`SD0+!`IjJBY@_07`|-_
zsI9F9oYUSw>mJ0S00H=5OiT<tJ-r}F)VM_pP;CIQ*=B(cyGrYamir5td-(pi1(9Uh
z3iNV2*8@Bv1-1*AyDjy0rH_Ms;V&Nal54NN`Y{*Kq*uRqiyyR7?LAgt>+h}4(fbMc
zrl#Eff%9Fxk(gbD*9Ut~^)Tqt6bZ+%n2S(phOe|QjZ;P)JFHMY-T=23u;KO(4e7MF
zodKRoX&D(~BO@T5;0Od$a=mm(DZ>frW%0|)=dg0pX(ij+1R<&XL2gw^GSC42Bfx#$
z)hD^ZC?J<47(?aa!)Lvf@9J-IB0N7WG%y&Jw@|TrS^Ao)Lx`4|#58}=XmiQ54jUgc
z;`a2PtoArcdV+H#jLM@{*J8A5)pe5i-nXwxT^^FMhnB;I@phsvec_jJafE)KR`CeF
zM_T(phsgYUeSVk)HmDDH;9L`(ndv(!bmQ!bHAaD#@fdM4A>gj5TDmbj(<|eu$ApBy
z+NYp8h1#Zw>;2dD*xrkM#gUH~(>yYf<ae}bp0n22*TVBmg-cGA=cj1rqdOt%<5$~h
zMW8;|N>%3=U*;a+N7wN)%|zPxJ54hi2Esafz4{SP?=+_fiKz=R(U+<m_Fv0BEwFMn
z;bOjc`CC#UXI!wk6W4JvY?UFYs!Y`Aioe)+76?7i+B!`6+$g(l>gGO>h_v3{9LZyY
zyz37bc)<^>j8q-B+mp-sB6C($cV~pi{wBX~_|K}{ee?$hOScv>5V$Z#rm#h<MC`a8
zFW3w(SFhnp9Q1Sthp4MHr&J059*tkoH+<54isd!edZ+}XommTQf$0KABJQ;~8=Gq5
z+=6C0k@<g4WKf!~D=T&JF%Qh~1X-GSnex|bD$Np9Dbb^8_X+5496V+1TYX28q6HA|
zi6g7|z2Oe_b8iku7aR?~T*mj2+S+qPNZpViYYrR-k$z$rI7_txgaxh;h`4D=uT*gN
z^jD}c84yN)_uVu<<+<Ur_lxzFfByW)Q#T*_uUoveTB(UE-0DNl_R94ul#@Et(>G1m
z?Q8N4H}^quGS3)A4Sy;(K?r64rES7zQ6f|t!bp~&gxR$VwE$4NA2uy@w6$wmX1%M9
z=nD5W)N67kw7IFjT9qotFIQjHF>sNva`2?KIE~)gjmPjI%Uk<TViaj=N5Ym4nm+p+
zC7sMf{?b^K$er2XZWijB$rWf*wK125Y@+4P%*rQEpO*i5Q(;lbNFsrJ*R8TNb(TU)
z(AXk4@B@hi>JlUcv-~MT6EmpvJa8I?TB;L<BogpGG0ygtpI?^p*W7F@lAN@TrY`#w
z?7iD*DM?7POF%ntO%SN88*~-UEnk{gH*nE)6PV!n-Dv^r_ZV~P{`BqeGU1W^tSJs7
zz*O9}mB*G^$L}9q9lX9iIANX>w@ia-^2~H{id>3Ve$$ZxYZf(B2h53cTkJd{2Xh5%
zxfm{?kZ|d|GE+r!xi1xwQ&!q8Mp&{GM${xld+kNtr8_yc_>gLV&iMwQ;&AVR=DMqu
z#Ol|BWd13%Avf5!ZJGP5(jFxCgbl{4ugtXFeb1Ea(KM`Z8)4k5b~h1LEUWL>YTb7A
z8qJ<g-(C5=Ow)KFvkMM1oa%c_435u4)pN{!+cq*j5jwxR+Wuz$IAitr@FG?^6M5wp
z?s>C?LeGdWx4ah2?`-tf<Na|&ila)sJSK9ZXkFZ;>QE#8d9?GLMQy3@;2&i<MY@7;
z8z)~)?#J_uv8c{B-u$Qoe=gmj-l1Z+eH$rc))mvb#oP;yQ&4}0Uwn?q65Y^)!QZy?
z^SqGfpSV83%Q+N7KN<Pmp8CAm36|ZpJY_iXd?YVu>*d11Y(-&mZ{100dwo!B)5ANz
zgm}HC7lV=c2nr{sP^N8z00Z9feHUXDuFJ0n()gA7W$$pP3)nkEn|1IP1|}P0Q6+Kp
znnn%>TX1cEUd5FmUha9#e_0HD^TF-MF$z=`?)n2t!%4t=b=`TFuVs8IkBjH;ZqKQw
z$1m_A&azJy?r_k8k=UE>y5O8!NP)qAFD>-RrQYV#^|5gc7h3eB<=uKJz8;@}uB&{l
zT~|?#|6F+_ZXQev)wGU|aFP30%kz(NPLAaB+Bx102e*)?`~~OXS$k}Mg|9iR_E;Eh
zV2qxvpqz#6>@9W>#p2^OT)y5Ni@?`V#}G)A>%P1-`+d{2%5Vq9g1<kv5t~Hb^!n@C
z<87a&rRMp1lzAq*skelOW+``MV9}IyU+uv1FznZ(;y^?i>61#;=Qhr6rR(0PA$wPP
z0Luc~Am;TC0eu>7j)y04iQ+9msLE}=&3W~G;eC}OhzYi><#w6QAXKga!VM5d(FVp~
z*Nc&@BE9k-+nL@%TOvOH8jpI@6TRWUZsZNv7sihEkH#bPXa4mv-aXdV#tpQj<^KAG
zqWIa={-2-WoVyg?xT+UdBE!Cl5hF*&FrJa1=}$acLx}VK=d%-;D?K~?VhKoEe`&3G
zkB(mT>1;r6S{_c<b5NQm&rIc&mE6V4LHxYZ=y>|I9ECCUmL{7q3RExvk3jrbJ*w`X
zXQB`E1(fEa6Kihq_Sz15?l=VKh`=0ull9Xy3JgZ+WGMO9QqrPe>8>Q@jzKXXZJ?lI
zG$4l-yxS?|e5|3TKJx(rDz(h4n=mU}1END`nuCM!6lJkWt;ZfjV<BBm-IIYK=17U%
z2~O9(Uv1{p+LupCTT;xukE8+akJlsa`Q3k64ZymL-TlzSq??!iYX0MXC&OUNT`QV7
zBR5{{e4U-#D7kq3^4I!Yp;B$8_a4}w$U*b~-wU-7W&W4-w;V~n5XOOSALjAfkRSY9
z3B#mJx}1LvP=3?4NtJPhbD28O2#fb^!mk{UH6uNT$jENoKhR~U@ADDRdfL}6wULed
zOtQ0U^&o}1Cjc<7^r)WMyi{hz=Szvadzyk9%l1Fr+AOg#Rq9||oKyd+H;k59J=iz8
zKEZz;<Um5~B}5{hYQBx8uPBPMFis9J#PX1;`W2_4rq*}WV)A+WOwj9?R>~YY6KAmZ
z9smz5WS01aglvlS6U|194DET}K(!*2jJ<*UaK3V1*POg+z?DzWYG;#?qx2qJ4G5vY
zt9Avxq}t!!T0v_=N)Md6*$@Zw=bP!IFdBR$a&*P;0OVl|iERYUHIO^+4wfgR-}Cyr
z*A-c~zHuLhi70v^*@q|O6aCkIXKMM}BVS@v{7Bliu0cot8`PLJSf0U1y-2<-%1vkF
zF{0iTh_X%FUK?SkyQ8&pzq2Q{F2ouz#rLjDov-1cpwRe?jSCA>o%}diS&cP_5oC$b
zxDF4)oq`Jc;L|y&z2~r`Mj`j(?o2V)a5#8Qv3{-62A6-_d;i;eK51fTEic`IQ(Qax
zj7|i#3&R>f^4<vY@qRdd-EVTLM`nsEwRS>!g0q*)@wb#}NN~^WY@A}?%CnzoK1MXJ
zYvB3zrzU>k2NgrfwtCyB>&cP#!$>ze3`mGI7EC+)=PvU!47E%m7bW~S*2Zrfd*+mT
zU<zXu`w&FIash0M@^ZY!mBtUiTyF<Vhx9XQ1&K!~|8{j+n*aI4N{tjrfNm};&1OoV
zLF3CRu02bEi+AF^KmnJ5m5DJ(qA|9vDOQ{O^rUs+l<5xAnDx4=33$U9zh^mVDOQt`
zwVn2&#>xZ7@t{1YzzT})ah%9s(aT?Ul=24whF95xIwk)wB&E_g4Ui<d+SqEDCTS5n
zyZj3hh!7L6Ew;Pmohf^t)0GjMyxP1f(XFki^Yl?pU)n#V2e(b-^G)Rg2c!fU?Vs?p
z(A0uJha&KPi7uQz7IoxjtZOw6l)h#_I+D_ihR~9-9ImpQ6v}moTVl!T6~Vp=VeTJy
zU%yaKA$|Fytaws5KXhud7L6zyQa`<Mq=xCa>ou7lTbI8ul^ObvpwNuF>JVbs;YPRl
z){`!+4-NJ|)XD$u`9ZIi$Oa~^@nnLz1br)Sw)^@Czf=-W1Hkk;_sY!T+P|-dh;Hx=
z>TOS!_Z!6PEy|aWZU(EC#Fb$g`o~Nmt^L-0;SFnr+YDmR{MxAgJb;NS;A@z2_#OhX
zb{d*@?*0U)AHPQC14nE39h@Y{i@Yov-8sirI~G>ArwIrN3Wp;9#TX%CmLp|^O=b{z
zuZ#DS87&~uxDRi=(}FR(0{Me}&|8u$ICSbr)|M~r=glG)DIP26@^VvV0m{9E&tC+>
zBG0`UR$g{K++91Q4Wd4Y<MI78%@1g)^_t-z^KkOqT6yfa+!LvS0d0hc#^HHuoi_q6
zg~$QBj^7k5T+GH8<ky<0F=D?nC%xBY&1N``os`wYh{dY-VME7GHyk$wL-yYXg+S1X
z!qu&*fy@;Z5#5g^({4Y}72`D1_$69484V};dpG9qZRb<uvIVZ(;ze4lZWsJJv@IEC
ztO>vVh^(rXxSI)@sC;3$bO9Syr#Z$@?7BH}2#N9`zeeT1fkk5+MycLfB&P~RRu@-i
zbTT%vY};FT&)v~W(FIn2G`(UGs9o>R0VG+U#=ah2=sjv*<!%iF_l#h1UZHun`%iP!
z{hTYmr<(fXZtLT*LF`e;KLz#OqobO5er<ryt5pcc;^Fo9*L|BjiD4EMmKtr&bXX38
zrv?i}5M$|6Zus7~j{0C0QjjA-1+M$ehH3mc3+WE__xkT!E!7gwTN^F4)q7(jPxlWq
z^@rDb4wd&kCEt+ikH-o3qbGXzp1}N%IY46;QVq$onZC99X*7_O!K!VN&65WAP49oV
zRDQmMtt>(I%0Nf2EK$wyZaqV*bo$|nT*<i7{&}Hx@Z|5Q<9SNcDKj#-*GGJq$?)!)
z-oD{r4oYqj5_3sBQXXT8b<I{!6lkd3ATF?S!xL3Y^vk9vm7exJ_bLz)GGrl)%qgTy
z$S2a(<RZ_glk2#W7P?}IJ+p59$K|HRHfy@L;MSss-RETi?$e?T+g1P?O)DMF9Y#xp
z2*qRoW;oTdlpEuwX0D7h&AOEPzRjd-zJ^L*#p&~dgZ09O&1aExp{h-{1iaor9&jr(
zoEifu&H`!z<>=NoAG86mtqGrn88!E8oP7m%eG&iYHx{~Osjro%Xc~u{Id12nWw)P=
zA2`T>E7}h{uG#WFa3zXIST9!(Pe3J!jd_TH4dJxqgP=7m;ZMRQf7&qTrvO7etpELj
z9}f78cH7#M6%7s&liVDEG`?NzVu$=2m59D@;vKh(LRiGkB^iH^6qZI}HoDqC;1yiX
zuvov|?3#7{W36|wT~4CvCRp*1XxoVTZZ-JO!>;^9Iy%bz^neQT*;Z-!D}KXPZs$B8
zZu``xw(v_qyDmCW1r2>r61^Y_J8<&=6>Jyay8Hlk_F;{$DXhk6*GqvvnF1`0HSEIV
zj5MYF&O{VSGb`dqZ#jxnG6vx%`$%4-RqJd$z4H$>)lyi!pa^G2FUMEnT!ocIo)b>^
z+#WIZ{;nSuue;z@{g|z9JzIj?q|ux9nV(zV4YP;e2qYkB(VVIE`rm`c;9eIe$D&jE
zPGS1y7g%eP8iM2I<xz*;?i%y+CAc^qVI+4lu$i#h;c@+rn-TfEa+fwUm)aB(f%9VD
z=6nRbmjW}vh1h?z7GH;j*#m7)P*}dW+IoTS*!Yw-U)AMwx6~VO13%gOBOIi8Uc35-
z!0p>{-@PdT?(!$agl|kajNl8^KAPW0WO#HZtiCLx#wvPj;`o#eIqm5V$eeJ!#$9IS
z;@jId8V`>*ly`@z6XFRdJ$F1&VFs3?oSIr)AER-J;n4x>HMn;D!7})SRuInKdO>42
zAt_P_4BhLW(qsAO<7yi#q(+*S{}Cq11)3k5%vmlIk|M{bT(kmy5s`r-WU@C2nLb<^
z*T<8qF_}J0ChGsYXBLR2zPZF=6j`{PKe@{gvoikp`_jbW9#1W)@L<b5x%VbRS?@Ng
z$&Ieq>O#4*8$IyB&LE)ieB)&`C=%u*h?G`M&u#E@Rqo>g(bTlvIA;9ylfvWJudy27
z*@Ejm7T7q15E+Kz5f(HbB6`FLNgBnQju338Bz*GXRN|><-o<{ZZjmKlpK{rM&_CGw
z^t6&VQORuXF#esuV#R)fG``-fCioSc3(oXiz-_(cW)zkX-1%4ESEov-9Wex#S2SM|
zu|CJ~CVeMA{(j>OFm%6O-%vWibhMFgZr<TUpyI#@FohcGXdo1_{qNJa0PmYMdg|6?
zaTxEPW};bq?}?zM1)^}^aux$i);y1T-+oZZj|;~voT}H^g_6|<=6@fL(Y-bTd%YX|
zo)9tCkISrB3OH>c!NEblcOR1(sXo5Enr+Z?G|+Qz7{XZvJjJ5Id{!$oLbM!=Hs={G
zM!t+-#Z}6Td}?V|Jz}+=uiu73dsi~{32kTb;EJ1*)7kZX`Uh22a!3Aj*`01n3n?MR
z=cR)yM-rod{C;-rN-cYAG4Ter;jnkt44Xei8n`)xe52fUYE<-=_RaksChq@1T-Jo-
z!=m}G)c+h@S*1*e5MO^xDY%Mkmst``Fm3rxoK4&J^89<ru97FMljw`ziG9}K7RFno
zuG&u<LBTn+x4L#ba+4;S$MCNo<e0sbL$#7%-1aM}*10Zb-8#x^qNvRx`B})$tEwK2
zylrFs)UrdcF<A+>s34EgdZSy4V-lN@x!{9;IQ1#tw~fX7PKZv9m|aR`TRzeL_qTOp
z=c`=89UWCwFG*LO|Cb-R5K22b{vfXw(cWIoxDoQ@(<-t}L&kZCSIkD5b;>m6Gv58N
z{Fy$;0ASp{GYZ#aOaMe8$0&K2Zm%(T5<<eTou{LX*F22TFOBl)W2CL~nz~1wyEEU~
zCECcVL3TmMF!#qQR*$f#LXqVj(%+g7hKM3+@(@N2@g&X(BIASZpM)SlugQoL)`Jl;
z^58cxAWe?(Hrw@4cOM5ONbGgsj<&z>F52;+14UCpq`+g8ojedXx3#sEl?|s{W3CV~
z(FEmd6y&jgO=`q9Cren0ii<(A0-&Roh~KHIt7AsvO~W=o(QrKO!R<Qz2%(TAeNug}
z^KZJR(Np>eVWiMZ6IM$S=59e=Rxn`WcDVjGf`a+K1)}w8NNJ>USgpZ7BiFwFEix#N
zSIFkBiw*=kEhl9C7o;9J!Xj5f#8Rb$E@d1|f&;?t;;Qocd;Zs&o!vQUUM96Y&j@K=
zar7-Vewn-)h*k4qhuCGH=!>%DLkPcbark!FB|`}N&%c=H<2&?1%#+^}>LS<imYByQ
zVlo?Ex0fuMj{qP(rtFXtfYACrwt21t8FEsp(!a|hK`>QTv}qSnaX!(JP;7}`ID_S(
zoxKy`?31aW;L9?p|8$hCF}SCgtY&%H6g{L%@@m+=*%i^EK#fs2<Y>2C_9cL9q)^((
z)z|<g#nA&_`Xsfd{U&)+k4zZ!A@S^|N9D83RvxW_3Hv5r5z5zJzXz`))TN}a>aKql
zT|??FEDN^NM6lhplI<AN7rt>_y<fj8pNCo2F5`%r<}l(Du8#V^F%D|1=4vXH5BM-;
zF_WUi@aDvY<|g+#`Q=)>y(HBw|I`!ZT8n?m=np3PM^3z&GUw7Z4-Pn}u~_diCI7Yr
z85PIfqp8}VRk!YiAn7_)hkMz4Qc(2L_XZ`Ci=YvnVGYbrmia4^e(a)bD*a1S2={^Q
z(7q%iHf=-t$8=fF99(P<#pws4yl7dK0XkIihu0s_{NEqM!Rd}IOMBzlY7z%bUj3D#
zYU+^5taIh^Jn{7hZCN!508R~*kb(*?#UD1q+9{0t4<7e%i_eF;<kEeo0^lo`pI@Q#
z9vOaL9Q(&TUSh0^bz}~X;JwgKK9e;`LF2sEj(ms;0CqKNC%LqFY!U5y#dtH`0Ec?E
zo=DSUq$vOX4V*KDS^{X*htdD{J=(F_&%T-7VtcNVoT^!qE|ib(L+-5&8`<LBb`fn#
zd&cpA;mDt@VnX+&vb>Re_*j7J9{hfF(?1&)>Kln=cC?vi5&vnptAz6}N%JrW#FuSM
zCj#ZIoeibORR0FQ$PkKR$g=9LcmN7_m|)7TQpoX7+HBn#n1T6b34@XkzFhSeb)a)l
zy3hd11SO<|l6w;ohs_((Dx0?>PniZEF3d503FSLcgXe9LQ!I3d+Lpd6&9X$+(7){6
zr>|&{@ag5+jVVc#%OZ7kA^4bM%#%9QY7_>v5vmF46$|cBk`3)`ozqT#Suc%Eb1pBz
zDUr1z?JP0)cR3_{nP;4bo=M5FRRTM09S@rw0Qm;<$1H7eFODv+ZCAC<sM46PCK3y(
z8ca@T#=d7!?Gip<2HVA3{QgiFVlp|?C|dTTn?T|&4a3u$@Aa9x4*y%b25jLz=2;I&
zwd%PT<cNwQ5_I2{`zFP857wHOw56*KmkI+Xb@e<%hRjiGV6-aiQ5%!Vg)GJvjy}q>
z^j|jOs4`%LK<xHMcQHcj;`#~nzJXgq9f3m#R8}8mFf0ORRdd%aW7;l^w?J$81TYWA
z{_@Z2Avg?|#S*4zlsVAfG4NIQG~j(xj}`vB&^os-HvRTSFBIv&Bn^1B%`+6TaR=uD
zs7s~SC6#4uJ6WXRTHMGoWdQ%Ug5@DW=32ANZ2^G{t!UkBS0q|gx0OA}1stQauq`Rd
zBeq;NhQJy~fHVyhga{V+>si(?#R)6Z&rlJnK=b?Z_aeEcJ=P<_3(dIkJ@qKA!@X{i
z?bZR`(qTTzq26n)Y!>G0%w$<Nc3K{ye0da3ZbOOZ<RF(|Qabnuy~HrCvt$a5Q=iOt
zGV?V;SdlJsTv(nt2P@|cy2n8F)otL%2LVE;T`kKsllo$ykTtd|!ml>&1iDR<P!vNO
zXz}v{%$klC^}VRRkRW-}lFW$N3PJD)`kv1lQ;G=Cf^YJ`@d7Jkn)iD+M9({-@Q#q_
zC5*@@#w)j#fQpsBM)#m6(y{u$?$GA0T((vt-=6cnFxt$hjsQH}8D&uwyh1b8=uBfg
zAwtRHM7~Uk0X3mM;+~0xGeJ(+?fbk>onqQm!vAY4@Y_LK9d8I|<@*-TgOISMwzC+9
z{@qJ@UhL$JBt0EdH|a`*yuRVPSpS=jK~r{*rCl06`(w2b<};p05<B*x`P3kD)`8t{
zBA-HuLFdZ+*HL_jWc@md0<ze<n3zu!GR+G}g*2=l{T~wHlFUfOO^i3kgx;-)7+@S<
zc>pA#qNd`=TQV*#+p(<doY}*i@Lkbpy?=^KEP0ij{9>+q53!*&*@hbmA|yhNvl|Y5
zeKbhK-0UL0P}VnMulv=z{}rV|G9+pxa!u)pxAM?U*;5$DFygOo2fJwAaq{fG{iO_Z
z54lOY-t%dyUN~6s-Wkr<_uc-=bEIruBcAC!0<)w4rTDK2zt65($g*N_PFL7kn8zBC
zN5jI?vB1moWh`pTG7b#<!wt*t<3Md7NIj+d9lTYSMz7=YzSC!7*DkrfLDongW${@i
ze%s>mSBMgxcj-hQz3q-lAKmwH+V9M0duAcRsxH_$q=Occ2XCLpI&xM-o}16ltJV65
zQ62>BU#yQ%OG!L7ivgu5c@D2cCE=ctf}7_IPhSXLbYUyYNwJl+HHr7;a?X?ILIyqk
z{LR=K*X1u8mD|JmV^{xckDbOF;5bHKCQI*lXqlgo5wAMOCyrc<<?DH9=a&-@uh&ZD
z@?fQ$WVh2hM@EjaVCJ@`Xc3o|lz45fd4gEJoVsw;%dbzzPL1-1h&&&&qGUgAuLZ4o
z>K2yepRi$xyYGhtJ(`^erxZM0Y_$Wy;F5~h14$MOa2TMV&}+nUwOc$IyzEV5B}8gv
z9|(gM+do?p7Q%lN=|l>Dwzf%iYrh{@DJd=W)4v<besj|LkXdl@3E?t5`Pn9q1Ck*x
z7+CaeJfD2dxo~UJW2*2-UEk;YVpPDdVJ)rwF$z~OLyzYMOnH{}Rf#ru@a{(|-lcUa
z*WEx5uF=FW-sIrp=>AQXFcRu9RO*!Fdya~{Jh$N+hAW-@Nd;l&=2So>jiyUIq1_t@
zsGXwh?w4g*@b+-;_a}PT_#4z!s~&c9Z>~5?D=GjBwfq0zWV_0*hVz3t!<KVuVqnwW
z4oadgqEWmA#oKw)0$gNH^*lCcIrLqRkm*#*<dEto%IgE)$L~(MWbUmQ;Aw#t&Z&@O
ze%Li%n!WkUXG%pKuiDzpq>)}io=3cK1JIXy0&o(B`j$|_TRvSB7Ym7F88i8=#X^Z{
zRU@J9Q7rf&V@Mk%&vnd`KAmiW3S*c?t75`V9z~wCnDb-S88kfPD>+B>n%f1&QnGnC
zhVku(EPE5H_tJ)(idiAhbp)THj4unKnXi>pSA(E=Brn5aw{z80r<$6yN|i>;i=d$X
zFBX7nz=j*nN?B2_q`m9Bnw8*n&z7Va)&;y_kj0Pk3c&bF58qgXQ8y{(=o9wm<OUhZ
zzwG1>{DHUKK@qQ<lBB+`k$w4Gl)XjAKoLNy?~~bQ5h=+dQ_UE3I8mlm!PvH6cJ4kw
z9a1z$eR>y8!ZEg)P#y$-86R?dJ`u{TdXIrGgy+WdkO5Jh+8S)rx*kpxd1(=w<Rq7t
zmd+3~z4yCdk&~7_KHhzue)w0@^`1N@o<R2`|DL<CA$^xGAi?S~AzDdnYb9!+qxxo~
zC!~Z|cQxDPS$a_*HNfHLqzuB7HoouikIKEt_qx4<XHiG)?4!v$JBvQ@>K+lU@6M5#
zqRcrwMj@$O_oDgUX*!T%h_ZMJMGVuUuSy~V3ybIe-)X8X28KbAyIcRtw#UN+ZC`<d
z+PR3nborh6x|M?yK`N@cNoX);|6?!s0I3zrEfv~CS~MsHQ@Ll136rKR=lo-m#%gsk
zJpvtmQ^fOTP#klGn1^NOa8ya;%u{c3;^bQR_5asQydwY7k?SsP|D*jbk?v(`YE@Et
z+`KarACGN2!b*PbA>^xfTgy0Dvol1K^9Jr(<m~o@o_^r!M#Sv!hkV$pyL&GRt*@@$
z0HjS{IUpArDvOE$ZVb_{%H(g%dlou+dMyA#03QG>nU2n4e>4S4%V{T2QD+Xrhsu(1
z$Z6g*0Kqt%2tB3U>p!GKD@FfQb5Hu{vQujvyT(($il5L{<J1Xp6&j8F3H(UrS@qoU
zVaF+S57}i8huI6zi!OHp-Az`L-7o$oZl|uUvqx9=0#OQ*X~M>8eb7LI_8X3eFLb-d
z)jlZa;48ZZ(1Ns*60;gUF0Q(q93z0(C{-)>IPHM@6hVO92-1s9!>9yLdG<sPQ~^Fz
zFps;u6TdE7oemaY-dl8H_q4lt{h_c`7-kVrS3oUGu=piClXgj(wNP)n++r!#Z&s4i
za&g^WQd-hEu#9gE>I$@f0#a_^o}<t_J$;hI2{Y{uMu+*|<>KPf5qk%uy8**<NeMsT
zp)IX!n>S(SOCL$p^RNVR1qvchmxC<rM1+J3rqOSpoTKfXM?EXoY87)s{@V@>5+PX@
zRY$gratRL`H`))t*|R92VVW%WESPePsMve_(=@w((l#~cc!avbAiaC<8-Zs$qw6~u
zSIjYw{TdB?>wL~Mi#P+wx-;C?L%_p505BHl0e1ko#9GOOEr7l!v~L+VVMmXivT8l5
zUts6pNS8N14FT4Xrc`V#JdG4-k(c2St7S>b6E3uwBS6UOOc@BG4x>_gcG5NY)P^M@
zKp^Aaz4^5R<6F&5cb=a^c1HMaI={laF5iyJ=eK$ys;Zy`Vi3T}Z(6ojpcIn_=vOhv
z0Zz4vi5KcyKj5X(flq7B!0=I9YJ>2m>^g|;ntd;S{IX};-uTcFl$qvxeTPXck1ynr
z#>Jl&bJn`vHMv&xDQ5w&Y}$7Bk4Nv~gJ*g42uafLdEHh`?os9dD*8HpE~D;u<n$~o
zl@%4of&Cx@N6(Swa5@B*;LFh}kq7ZQ-jis~lv&f~!+shK#iQpSl9sSwyOzBfo~6fB
zf4H#F7LTCZkl<=hF_`A0q+mt_r{<+L7O;DgUxtGRW{vIx(S|FA{|_gst&k@RaH2M`
zKYxx*MgIo{`9}xcT2PsvY$5us#l2XX<rDjN-~JCZ;`@Cm!oMXDYZY%u9EXc!`7HR}
z4=#%cU36dg`rP%1y!<LCNRf5!cch((FD(t5Y(6>z1pxC^K1(C%3;R~qveZuUdhJrN
z1^M~;4Y{SAogK|z?PeyGu*6lTv}v=;$~JGJUhD?9BlId0gL86hHu@C!?K^s&F5qe@
zBtg3^P~g4(|0vS+W^V^xB3u36_A70m$gJ(iVWbgYNWsG)wYsvvc$QRF+COZ6BWdIL
z84S>cj6uIruu?9b<nOAXEkMvk>qVD9W_%8IO>%d|?gS=9rh>xPcgjYApj$E_+sW+r
zCRPMNN+ezdRvF>K1)Unp+{wyK){?;rVckvyi0NGXB5vCt&G&IzcxiCWJX2KBC;c;e
zXftTXPxe;n{o8j!&Z3CKaXH^OVd8Tpo+#eGR}x424Dn|CmNNnQ{{H=Y+Uyyq?6>cT
zq2G#nEDcY)>mdbF&DogA3<R#+1Z4hQ5^x<snOPFza6NA2X`Ee(h;K}*pl7Z@BJme-
zTg@!j<~B1Gx<Nf1Od*}GJK=mB9+%GNQuq&z%X--gK#Pgg9|_?R5ZV|Hzq==3KmESf
zo{U*sOcM*bCKV={Ds^q|5L+G+(UF&rl>A}%t$uaXP+lITE!sAA1-?$pw&ylljT#Bo
zUm|z>K*ncP)!~+Or;~*pnpc4Gbo5m7yN1nknq<CGomTm{1wwmVdO9&NvF`81si`Ro
zPPIInazQUy0fF4{q|70IWF*)(ZFxuC4mxY2`DvOGH}H<tvpf;1ztbGtCDN0<qFNb@
zHu6xAs#(jU<SRXyg>`viIL#?{%6v|jWp=jmFUWJgS{@;zUNw8WmLork_wAzG9-bsk
z(=iUNhh`&f4NY56!MY^O8?gRv(n{o52;ca9b>JiDe7e$EdgMUldbrz>%2VOZYh2OL
z5OvD^=8ZL{J-W~JkksI(guk1WsDzC+e+9|(|AY0v6Yh3cJl6F!GdGXI<J)dex%Hi6
zzLlsaZHqoqk(Yn}5<$JGMfsuUTiD7d=sf*BVYI@@UGd(3Q1p1VKge7QraN8z##0CH
zxkq<RpK)VuJ^uQn;<fU5TV!X3Aes8+lTBBU+A`AkY)Q2T%-{}&vr`!Bs9A$rn%_Cr
zlTU0>ZOyGl6F;Icdt0xbyQ4RHkzS4$SU|mmkpfZz6^+oH_vHNFlXj=w)pm%=zwRf6
z48iB^15-6B7ot9w<B6`WE)Zae4kms&?$)Z?zw|1u#Quo8*1z^NK2CFJ56&j50jeL5
z|BPk`3DD8~tu+Ax3&SZ~H6`fJ5&#T}(&qpZn7_5Pb;g4*v}|KJmem0edI*WAq{2GP
ziJtE6n%EL|fD_co$w^31kac~W`w^a!yiw<PeO+mKjkgr2YBYi`4i568na5{jfMDNX
zQ*(2wyE{2PA%VCPvU90{^pFd#LzqUxH}XmYc8@oT@XK<h62YxrL*5A<=scfC9}Q2K
zvhL@QsTVz822(Q4YxqcK()muuSDzJN`;kYVDm`S}4;C4Ae8M!%Ju*M#j;9HD-Y?Eg
zrt`a!@;twJ7Ol$tLeyY-5y+IvgCIM2(zhbyy>F4(_U4C*Fs8TT(fkxVDyc@%#@gE5
z^GgAb^>S#iL?l6K((Nv|iMYD?4@UYbCP(GL1Y5j72PY>6tA0WaGgdrM(7m{{q&Xcq
zg{5!c(VF3Fr39FEu|lg+`ZNKTwKQeS`4{Mm_W1#Rv~NmEAKL_CV`4BcG38|bS=H4=
zynXu?En2S<h)!HzU2%Eujpu%P3~X=rT_es{DxPx;G=z{V_S}A0yZD-58vSR1`lUrR
ziCIzY3p8;~zte1dek2CJU0yD%$53=!Q9-araMEW*Hkzd%Y1Z$khDjk4<S%pP!4~Qn
zdo^eEt3}FIJMG@CeT{lkY)x{{gbk`o^OU8QS^ScAKMQ3hDu4GZD=+5ekiHQCuSeNX
zc;iJP@2QyM7OMWyobC306^!pwUAaQ$vyDT@*}aR1?Oe;aC`>?Dj@&}<D{<+I%SiR%
zAz#>Z`IE!Wh@@CHBEs@={KSM(03_*>@@%<vp`)Yj^rd?ERz{NdJNF>z)i5j4NcQl+
zXr<1xGOn`dpRim%%2QDJRNo$*mGwSAG+U{dS-)*DUj}zFky*D10s*uEy;zq}pF2WA
z_(O|w<25amqpKb&r!UMc(!=9$7`zzrU2DJUelQ3Q_Mp58cWNELwSc5dW)#YMW?(E!
z$POj<m#4xalbB6KPfjR}X7F9@j*F$sYZohR^%@R~idu0XIo*DatD6%*rxKDPx|V21
zK~E1t@*eCfTn(jfX$N!{Bg-L@`D)_gN5canUbd?Ts-^c}^<$zBR#SY6@ZQ^MgUfkt
z^tu!E&`MFEM@A|^UoLn8%+S||%gn6(4`(-i{??jTZD7axrv4GbEyzH#UM`gz#H9gf
zcyF=M={a7|zoW{2MVNelEL$uY_8rt`y*myp=A78bjA7cOY-FVp)kW`kJx1HO2?%k1
zQsa+5Y(!n~O&pW6=a(+f5WA;x*UV?=zBs_g{dhlE;t%&s$BL*@KA(NkB4GH`L~0xM
zF@IpG!F49O3$DQD)}d6*7O^EIC8gS~d@NxUk|~Jk9TV*5FXnNzH&eba$T+B0zAs{P
zD;c>l0zPzj{NnYvgnTev<T%VYu7t&i0?xJu97sVvBR|Q+x{b~v2zk^h^@c~a3e`$M
z-Oj;}A8!Lh$J>2hs!`COvRdvn)^Alej~zL6WL#ku=T3$uEcu3GcT;weD_|qH*s<_~
zT2Z}8s#OfG<sr-b_64^$26TAw(k{no0fpU}Qf{{f`*9A64>vd&U3b&N2Q|X?@9FkJ
zetr$jQ7aXGaJF-H?!e!^d2XFNbfiyMYV~|*e$jp&A9~3zEJP=LgfkY=y*>N>=4G+X
z`{Hcl#}FgK^tz+#O%*qo52#huM}gDi<YXZIzSD5${w-W$qsmYrh!>RB0s$VL_Ug>c
zmCe7g>SY?gJa3MRif91^_~xcbgak#rbfH4#@!Izl5YZO5pvx&B4|TYdyKN>yo*dJ|
zZ^Vt&`lQeIYwy0Yfr_Vixki+yHT6_%526+MyYrxy4au0@L6^;NvC+FmENCR*U~_xh
zt9mszk0wN1m36+YZN6p|S)!{jbErhU-LU=Hf1%c$-|z4cpMeB{cI>e3H-nS80-=b*
zKqpMiVPlwH4R!A*IHArKt<#)J<VI&&|5NdS7h(Hd931@4*Y~Brzn?+9f|8mVnBUj3
z>eJN@v%+F<$TsIs_y7vG8u+xb3*9l;F?tC0P(En^c6O~$NdS&v#Z#+%+&*b{#aZV1
zlom@h;y9C<>eBwx#1a7=TYfyX!N!|g%VIe-Jzdo%9avalpR^B<02Z9tasz7zb(TKe
z)<yo7rMTi69UUwwDRDh6v<Vxql<u4gUwGuom^$EKr%qAdRnx(OnQ;3L!wq=2=>o%#
zB{hIB-Q@mqj|vMF>O)U-=eQxo(oQfLf>DuAh)}{+SOz^ut+YZ2HO1@}<V_E!?&C$|
z$uKCX>PE*saw*YvL?wfZ#+RG<>zR;Vpuv%{w6ru)y${Ko+`ASItB)&?6ZYP}Ekrc;
zJ^#y|JD!jXE63pyE3Q|Dl3|!Mqwl*A__{K_sh?qj)6kcePee@r#=pKvUUo1KiKDa-
zZzv!qpef+v_aJA?RKa8#!)6?!n9rIynOH0%_*5Z&+_d1D_~-4i`i3@5!wB*gGCBLO
zJgMMs7FtPi@)BK|e~tm5;;~4DehoRL>fo#QVg5yQbo;}-TBGMoDEy9FXQY;w+Z(vn
z@jT10mKH&4Fs)EfB-9`z0>zNdqlAiV>nRLMf&8lub!9I@e(0GNx4vof@5VoDNzJ_7
zfx%Mk0HmBPb=&w%h`0oAMWUHw|E6$rP5KpYZc?tD363r=TrH6Ea9J(>8<7Z2Ak9b)
zV^=D^On0SextkWC`sxgNjthMZLOkENNE|t3Ws2)7?ncm<;yyE=qhk-f*yjIZpy^gf
z!RF6Bl_BwnD$pGM!J{gEV6H$}VR!7<xagRULCC59i2Nm9dW#f|7ANeEPM3J1fDh?Y
zcPIp@D;SbPuUb-XfxmncKSQs6UDrkj`sar78o;RP^-9k=)D=~+7!tT+uZ4)V&K3H?
z@-rseCQTLD$+ucpINVVoR};2Hvz8gkQv}wm3%B>D3<MNU^+ZKfuB%UFh$VHQvk|e0
zj+m*L^{$fHKi8k(8Zs^1qIRR*-KjnpPVq~8{tTY?9xHGR^w0p6Z=T9VurZ@3HJBib
z_6MyBL`Xx6I$QbN9P9=zW?{=KR^=R>cgTTBhVWgu`r7lf0^w|0H(ZH~b?#mQ(N$Y3
zq6hz+T(Fyd>rQT$hr0D#5+I2ADIYDSrICrP9FEsC%motB(iTY+o1W0e(^FANomRcZ
z^JxMFKoaHstdIZLk0^?HdrI;cwAS7+S$I{ZxRHRcqU>O10W(VPx|YH)ZxrCU_UH0s
zBxogz_PV7p==29e(#B~`1l_j=RBt0dkvxfz*XnWW!klLEF-b<9^~}+1vGvisOGq$w
z*u&+~%R_-n53F*l#IXB?a9CJ#i_^n&Qj!JGgd>Psy}3*iaJ9#Dz@(8wL@sYPd`h{z
z<P?ZK%#oK)ttURTPU4O9eB>n)VjAx0=^3p|5iMr?Oh!dzsl7=`qd+7jCr3seXlON4
zya2Y1rRMgb(6bBhGSgFgb^Z4`yk+hBr4;u|A08quOXIYJeMNL2U|OHJ%wQL^6*{Ft
zikg~w58%6Otk>$#uT^IlU=Z?^G>22_fQL&?X>K=BEAFASABru*oF<a0pY-#T^>}|P
zU7)_+dc|@*uUI<&;M+`K2CvWN^OGk|3PxBDpqoJtfq=SMyRodZl+3o3U*2JI_6K~4
z%)N}7Evx0|CtvsGYm5u+a9Pq8+Pnwj2XP}Lp4mgEP+L>Wk4Vw*(8qhW->Wt@Mn|XS
zT%X9v$ZW}I{NgQhm;}=aOfi{0MxE~o>WXjvlyGxVhr?pTfdfxP-_cyF_w=E{6VXc%
znB5O^U1%NvRWP)jx<yBXJTq}5dgm*H?#)0|?5&87u2@1D5DY6sV6))#e~SCgcq;q&
z|I;F)BNRduiL8@RR%Sx>-XkL0v9cXXc1VeAl61_HnQ=r2A=x9cSN7h&&vD;R?nl4>
z@6rEya$k8}_qnd``0V%h{rT%9gDc#1r>~1gvRl$T`nAW1q!HAVBjIc*vH9%=R_}d(
z1$Mj<sg!z~M?^${+dZBS{mD<_ftu3&%wO0}v3!Gq6GzinjYj&HRcp#AcX%CsB%;qP
z;iejwp4#^47j3tsVusgu>CnA-y%N|9!X+ao;}vf&)Ct`lIfZ*X-|&ryxzuj>O)4;!
zN)|+g3h_PMeOHXjpAsCe_N}Nsw82_$I?N4MiSWHwk-vYxgbQ}A|0*e-u<z^?y3v20
zH1d&E>H(Hn*!*3=#s%AVre@h%GkYOd=URx{7f@ePErm+%JyIi!IEs6dNOw2wp(}?C
zH!h>hNaG?!Y&R!=X?|^*ql?Rt$7a@Lk;muA&?ALfiDsufibv8+FviwGXrJXP80dLN
zq4t_x3#WVN3x4~zKnf!=vVxyK33Lh?WKzY_d*_8B_co@r>KT6P_xJbv9aXvP_mx5*
zG&erJw@b$y>wCEHUi>hD$0a2=IIFeQ%fqAX$XriO4(y-`_!e!A8eB<r;38HZ;3h}>
zDr%iYX05Rtv8WO**vT;5yKv?};-hkIdDG+>5u0};GQ^Y}UZPx`8mntfMFMy2r6(HC
zD`>t-ci=q3yZ$5=!-08JM(Wvcsoe^dS6Z9KR!H%1)r3+YrdL2`PxMYk>o@OLhKGYj
z?K6~fcd{2(`N@-oH^%!vXAOVxtol&GEbO+iMK(mW<NYbU;aifB_oiz&Ro-j)-mL~j
zuZMjhYdn_u##KJMT`Ms$*O;1rC`LsnMMa1n^|sk#Fk187XgB~|XO>v3WSn9%Yq@6G
zZZ!1vo^ACzqdjG%#Nq@#@3~gG-dvmJy3WroS&IQdr0y;*rCc<T<JE@Mf&v1K&c%L5
z{mk!*`}#;gMo4Ub4V65AWp8F3!t;)Pwc+V%szycn63}L4l07~HNAcvxtxBI13MQb^
zqsOwsf3&_(%^XATDNt2B3lxZR;-zEa4I%AZR9uQ3s;j@YL+vs)*Bell;<=t|oYM`h
zdUm(H-CGwIr=~WC-`v;8@})2KE2v?XIoNYQEXm19jC0QnAlzK(_dXFC8b!vi-I(D1
zkgLIpKVP?6kd;*gCzr0uZ>zm75ya%WG;G@?GHwsP`pi)IOrpR}4nbr*?a@p}0MZ&h
zJ#GKECeyR6DWC85x4KipProvwx?X}r$zgSmXFWV-h-+&3l-}gc_I?*?-!h++bDux=
zw&bG(%HH^f^6;*QE-qmP4~I5`mACBnan_jr>buiozJxRp4Ys|+%Kkbr96H>SXjWEM
z-x8~Q`AqgM$JwT~wt<b_)b}hq0uzD3MO>>}FxbCD;}fCGNA~*LIz?j_ewVwnq~MdT
z%~t`kgm@4!KzeX3^QnRtk+ugzMXmPiY*>@4XWqRcS($UKERTI28l2-dk`>Orq#aHx
za_F6>qG)ndiRh&0R6QL2yw+~-XKwLmUm)6hg;$Baz+_9q%`LV(NTEA)JXq<7G|vEs
zIgpXobd@`EbU8w1Jk`&kgf)neZ0t-|;n)QWi${I*a5zX}=NZ1_n%fnhiL>ZxdyhVU
zRX{aDT6{K@!!-1V7(q&EYhHJ!;$`v<x?C<by>HHce?IHw(%iNmN6p<SUM8^MEtdnH
zjie;I6Lpme<0bn6!COL$<s|3F8&qOjTFDfzFntbnU7w}Iq4l>mbQEwqHvNpaf<5$|
zN>!WUi_@xS%N05(nP5%?S&!$WN|oIHRfpuI*4Upndsa-YtF@1`9;U|fhP6Btn3**>
zb&gWwZlhmuvC`55)5pRQGWcjNDypES=j5rJHM%&I3IEJSEC&g0nv-1NbPwl`v|d~O
z_Pl0ou!wq$es5Lvd3u;wS@%jKaMBAS6@Et}P>SN+2yo)d!l8T&tFp4<E|Qa|W_X=z
zynPmdPz6F0a2@jI!mVDusgC(&8(F=S{7nrb?D<2kqgE!%FP)XBLm%7S^82E@lSFN(
z?FSp(4~}9}ieOJqGvp}^Ztlz2$cNP!J+q?e>6-GLbdIat8cgK3U)iA^>8JeFo%4xN
zIq|#;x4zsY!8zJNm)zPfuD(s5&Vgl#5jvibQay@Q?oZRD?$o&FLmJc(F*Rz4yL;wc
zbqTh_C(Y2-rh%Ssx3?>V`t>*s_9Y=T<GnH0hz@5#8vMAGdw(s?Ym<lTlg)(h0YSu%
zSV98r0?nqz$TBt*3O)Psj8qDGsS8WT!9Dftte=KMzC&w*foPl<><b}4cq0&hwUufN
zSF~3w*!=F7B}%adGe^!)$x3U+r*EhaurLR+e4j{PD_YLh&lC1oHVOE;T1=pPjY8@0
z!K1^nbsMdN%M=C+1L-bP+%^NbfttH^S4DFUdA_(UctWdN(F*tdl9f2H@G0Vc+D9XO
zhwqgP1}>%O=jpF?Zq;kA<>=?3Qx9Y3Z%UIg&m>29Syra~fsK+BHjWuUAZo%n4W+%!
z`Hd7<Pfrh0x$=}(C)u_}3MI*82)S>r!^~c~G+PizdbXP3ufIo#ZUv49X1|Hir)$5T
z*j^KdVb;+R=)Bcue}y9Skx!Ao%5U!tFN?iRuAY+fG`hYmQ|Go)OlF3E|9-gqV$^pR
z=~2GL0YSV_TYmYvS=&8UG0cQcal)hxI?7|oc>g!abUT%nBzGKccP>r*P#0aE{HRs`
z@$5intOV4`n+1+FDj~M@XDaUiN5<DpQ3@23SK~E<&Ehd*=k=;rOOY7gCd)Oq#XheI
z$1eG3qbSEj`B(4yD+{0}Q_sRA8h2D|Uvak6S(_76JaR?k)O`Qvr~>pwjQ7kudXMll
zl~$)6alR%yqgZ8XYSnaaQ*-nFY~zyHfw{J-s$+ZH?wi4G;pz6&8zo2%s`lh9y%8N_
zzP+1Ls;UtzEr;m7#0;6|^bbeHe8xY%@3d^A^vHnauPOh71p6<jsX_kuf%WG<guNu*
zTRZU+gCSN0X+5sI3x%R2#m}$%?RzB6cmLKpoI7||u<&(%x^R$%Zj)Acz13|&L~D&K
zM(&3S`G{Z5pU$kPkuRRV|K=DvF^}f-eh_kA@7ou@C_h=bqaYqHzBXF77sx^Fz|Que
z;b3ozvkMI3`XCy4Hk;wEK|N~r{@Z%pu;`>D&UXpAoS3bu&?>Jjk@Lk{bFcfrk&RcR
zqS4GyO5C&`kXde7I_F_;B`3FVOWfCQY3Ifw7}X~M!!x~pA73<qU?Y;q@j-|qfAZzJ
zJi?FsTRVoOj0&l<Yz5m!8ABOG&r2jIb~XOkPzStKkk=W!%j9(h$2jfP9dsFG^kunW
zS&fQaF0)X`g&MVQ9@|ep?7TUgW;!0v$i;TkyE4_J8x`w^^IQuOttg$I6cw>$irvUj
z*ZLN=+GPVJN#XPj{i3r+b2%*a)n_30!L>+?Yb~^MYTu!5%6>O6BL1hfboi6%RS;iv
zwUNu-W@}l_r`cI+;y_-AE_7c_sbjlJz<?l<PX03p@kAMv&LgWYZ-y^WD;gZoc$rAG
zxW;a^QCXr_M|8`EYG|s7jWJ(Ery`z>ViL03t9sO>@9HIBnZxZ}p08x3b;~rwTJ9AX
zRX~yjqIaq}4^K~&-tI=^f<fs$hvwFctKW_~>DG9$nsyEYZh`7TW)p9EM`)acHfzTl
ziRc@5G&i9Q9aeqTM&BMPIP8+a-VG0KdU$w1yFTsYxarYR$iFd!46r(yh~u*BbqdvC
zWnR1(K%%L@RuAE^c!<cJ1eP1o+PaetoVTdeXzpItWuIG|B{chDR`f9?Niy3+-NnhP
zBMQry?YiukdG~7hRVBj&+(xqqC?hJS?6&jdpGcLu)yeH$z8z3}oT`+4{!u{VMTeE*
zePtwRwnI52>*)AB`l`I$BN>FQq;+TM2%4F-aqA0uk7jXIzxaqiP}AR+mee$PW8@3G
zL-ERQbo#2R{D=g#CFA2SZ83gB8Eu}c3sF~piDcN8{l4$U6#d=#CM?30)5r0;tP2Y*
zn_Xp*_+4=Y>##RpsFK0a4w;d?p+ufoprKP#*xRgI8XiklPwuYZX`3?>74yV;opz7k
zoAqt4-T+&s1YZWhFBWSBTdv{7Ez4*n;+l}t5wbt6_&c(qNU+v(tCQh=hdaT=-sEb~
z)EhqIoCrk+<c4IU=&vy`GL9h0jh_AeRjxp$qJkPkf)9k)aU=v8maictTHsU9uD=j>
zbysuMuFAbd_w6MLTJHCG1j3Kf8tHFb%C1*M#TuJEY}DhaGn98OjEY)vxtFXb{Ph?2
zse6}Z#ANA{F&?Wi``?_Fm_3;y>IGCugG_yVe2VoKG8LvF&8~%YhMv`P-DpjZKU)EN
zTl};njqK_ZJtHOy0%afWuZB6Ve?Rer`pS<1oF7`cF<+YBX1xrYPVl{{*!Q-#t3}5|
z6Ql5@*PUa$3DNSy8J!#FdetA1>oMKsSCFd8P2w6#O+N~q^*e*B)ctgE;Y|T23vJCW
z|18u2k7s9|fk19}D?Ja#aMgT!o&lz%wUvjfz&K-Srei#T-#*&p<?CdN!K=<LE@r4?
zbWi1LEpMYL3R|U(r=6oFRnDQ~f<dO0RUEB}IP=k`QR*5RKNe@_4J_I!+a34dh*Hhf
zo6qo5DZ@d&5Upn5V#2@weP`>k8+kuO$u$Y2b(&c9eLI`<$8>$v9U3xiWt+X-XMi|2
z4Cih+JTz-ix*uyYwm9Xmrp9n5q|_~Loir!57$w*vk<&ee!zSFa&D-_@E~_e%J7FlQ
zaFazmCLk}{ShQ~dFXc6yc;n$up%I=gZsFP^cSJM8AZzm$5i}6~p`xC3IIs7u#diG6
zD=C|xpdNSkEw&Q<>9*hQOYCzU?i{+ht`Xy9k8S<<X-H)<Mn~%i%Z2)x$Zh%cOXcYN
zEDiIt4d~v~j(yv%H=}8A-4Rw%DF}V_K7#(%=2+mHi3wI1+h!g`Pg%SawrH9SzD5;+
z*EwvaT+&@{%?W)TFAj}wDa~_=hqlt)bo}swVE$Q;ZEtnw%EREl5xIikUD>q*$*dC!
zjka|sJ)6rw>C!MY4k>37k24~fzwkCKaS)G&Ff%<1*hN9nazioG+6zH99%+{&FAE0;
zms0mly}RG}mu}B~?}F1)cZ`0HX~0d}L3C$HKyk$zVl?wQKX^<2r|<x6|FATz`4Y%)
z@KrDgr_MlNy?M~Y_e|h}DtjC!q((d{YL&>NHRpa>B8bV0*6DeqHA{_89r;U)askNv
zl-gd2-7p)Kfq;{*7&Y}hNX6O@;sFVNpIlvskxRNRb#Mp@PQ;mL*Bc9?^%oZw_$D?=
zjlHmBb-M2T`dHTkh;Bc9qDIObP*PJTrbI6?xnrjop+#>m6;~bJ!nGwE+*{(hMu-xu
zs3_L`<gq@pQadm1aUM7E*^_M1AZ5KxU6Zs<F^T`;=VnL(#t`9sKvk!%?8{%QR^slf
zP!t$PD5<Duu*FD9-jbT{p$@fUbn5w__DUuqVR;Z5aSA85wX}qX#B%Q8VA1#YmXZmo
zhKs5zDrBP=s!AOWS``h>^uMm+Bjt1ZdxZZ1UEp5y<`YZO^pN)%Rl9%f<qG9{*N_<|
zK^Yjh<F(`WcWi5~tmTdA{F04snOus9=Xd-`m!-@Q9)(MM^=e^uR;$3cj*82`ws_$C
zcO`nu-iOQ5UAdk)+FXNnL)$KHZf;NF*tJ$K35*74=M50s$rtpZ4qYSt|0YB2YeD$2
zkvVs7zDZL{%Q%SzuipIfW&w_;c0{};yA(bFfjo{-YTTgI<h6k*mPj{Tq)^Xk%S-HC
zu)A~XR;ErWhCKNTgIJOH^(n<)ucV{pz%kPgry3={T+wXKJF2uWSTWy`5iDg>y*K=A
z*msvQT06&c`ws@frJO|X2M=Co+SHH2i_)$gx7%>6to9|$-CpGrp^KJ(Cp|GY*HfY5
zCx$KQAHBPGrUyuC*!(!Ln%aEtN<<0qI;*jk6Ltq8vKQ-8`tjo<x7+HiBO_P8Iwq}5
zwc1LtQ*=Py2q}b@9YK1$>>wH+(sZoHug!O1ZB>|S8J$WwSy_7@+&uf?`*}5E;}n?;
zr|(YSG}e5&`K<c16Ma_aEHv8FBOF6O@iAm|b(N+eU+9&I?(WfbZ2nE7x4AQ}UkZ_5
zXPxMSm96-yj8Xfi!|KO`)?)2`7p^RciWKYTXpCiR9VFhipMBxS87+5>BJ{aT#*1cf
zBOct0QDtqyMW%IFt+%%ilbu{SilmJoNDVG&T6*SH#lRSJdt5L-DM{k+X+}-EfIl&U
z$fxPotSkHL?A#1T1crNZb(v@3udDE7%;$mUIJTgXTsL0Yh>PPcSjA<=AnoKD%t5g0
z{P5nddKWUr;dYH2(L18H-Nd3kR!8xCtX%Z6oUzYoZfR$9ztpyM?~;~2JbXgNplf`1
zfc3AL%UrgO;;40NHo1bZd*3@B7@>HAPcU-aWxEhLF<YQ<ZFzZ2;-tw_njkf{3y?Kp
zpO>JQ$mlS)w1k3P|L54%@aN)Bq~EEsT_C=v7d)N|di^4CV0gF!%w?{+x_U^6g&yXT
z%f~0P!ppT<*_v1YW4&h?wIAR*GV5rflx^*aYq_ZLzLl5^jrL9pbe$XWJ@}FeQDr$A
zri5N>ZGCz9h1@k3*O)M+f?i8=bMSaV>bEaik|Zm~#mC>5h75UkcX4i=6NL7&>R3&z
zX6)lDG11YI(%T~^jOpbXU^B=kYO*KpbUZy$N*SHj=`KpL=yzKX#%#3OG(wT1D+}$X
z(mqxo0w-{)_g6V0Mfvgjh?rX&Hb~5gAk!~y-dNkxxW(bBgFlB=P(wg3$%7p#D=&Zj
zZ4`Vt@Z}Tvyc5!At`?|cT^oLQYIC8$+d^a#9k=4pBSs>LkjNW>r*7HNlsx!aXrVxD
zZec-%>27K9o{}X24S@=jgXe2*<I%nd;|mdW3HgRqn8wXKS){BeCaH#+;PmNxu77u%
zb58Nx1;69p(DBcivAMb1cH7@g>tv@Uv3$I|cSNfuoIUl9W#;LzsCke#O>$!}x}Esl
z9{+#}5~;@*>v59^{A~@<@q_qV$CJljfWJ*Twn6wi1gpQ^j6x3})q3)c40_ZA{f!HH
zt@w!ppPIfYjI6)0!ulfQojO*U>BhWc(rfw5mvYzemFd=27ADXWV^7N)?E%wpj^LDX
zT5FMho^lp5KpNT#?O?mafQ;zpxj8wJhdR<VP!R-NMWLcXKz20Qx$r-xpZ7?w<W5pe
zS65dd@<f{E)h8%P2L}geSPz%Q<&cMt^ud3BKca7RqL+nQ$RGXz&LetQ|F&i;{#Cl|
z-)KHpDUoza;nM&wd4{pVId7QGEG|ZpJY61puzhrZNRwXpUEvP&h|>Ize!Ou9e(2n~
zC)AoA9%aS_WM|LzRr`ADHJ(I$fU!dp_<#`Tzf4I*rQI`H6V7)1`V?@GGQT}>ir`1W
zt(;s)(0@eci-4WPUxFv_TK)J^M&P#r{_>|hPMP6v|D48qVaL~h9&P!4A|?oiJ6MXQ
zRFja90J73%VR{cqIHE-vt$4j|)ksx)ai|>N4^q+_bKQUx;h1;)a}N&>qNbL`*Y=S}
zB=@`{<eQFx{`fc45Iw-#ef;&me}RNy&k2MkKQO`pyDAPC8exJy7Z#fH>cOV~Xt_H}
zg%Q{oKUYAVot2k&b#<}@vcxGVDW;~TrwEbjTU)5f@9DKbKy}COa6iwW6yHsJx-A*R
zCR(n@ch8NaB8^h&{$0j^Ur)#+5Fh$(l8E{<vs}COoKalt$d3c7ncZ!(V-J-}XrK)}
z#xrWTfyB+A+Nb>MgBLB6pn?EM(*qO)SXWp#r3C&Pt$)&MA?DZu*r1{U=Mm-}>$8_Z
zVg#84jQ$AKPvEjRz5~f_dc|4_AU0^ky)obG{`j#LRx?XEc^9(bFuMKy{p!6%kx=QE
zCgMCiPPNa7gp>2#mxh^Tp1)`^XMb%o+59>fd0Cz90sux=mzUY<N>3@zL9b{+B>e|1
z_?vz);3IYN^eslWIE1gp@UQc*DQzQ8`-ep&i~C{p8o|GiyY>=LsO2yrhlhvi*ccS(
z1SAoWkjL@^povQseyk`vd9c6M4ilEGk<|vw<kz6qw+mgA?*KbFaJtJ~tDW@wDCy|v
z2sn-eert*g7h+<8XK+R>$TSFf*`|c|KW{$ws_%s0ODILItlThUprUFpsaKJc`;G!9
zl~p<E%3I?qFCNlYCfq<xwE6eGH25xDD<PxxLCR-Y&iRrybGa%b9A!Wq$iD_{ez*zA
z0xkB7<hShlK1vifM9@*Hfp*u|*S8KLMA5oRv02YNRCP#qIqA;_p{6P=w{hj0`1q!q
ziWxEyt0X%WD`ua{oF|*l%)ume7a=8xB>!2ZNh)Dhgdj5r3yX4|c7b8}%Md0eCPha7
z_O`a`Ot8^9qrLA?Q&Y!UgtD=+W?f(oq(=Tb%+jAiCu%Oi`m*T}1egMtmxzd{y1M#d
z!*d?rP!rS0)LU6MF~~a+G8)8^wIn3T=jCa4X<`g!k`RBMgYd;%$>=CEs}BS4si&70
zx9-OpfYz;R9X38OE)b|d9o0!)fAv}_X}MPFKVP~=efdO9A>dS5Sy<v@pI;U!0lvTY
zEIyl<iSOiOWKs9Rsp63-(<?hZ|KPnEmH_W{i8N?m7!gP``>g)IzXszjkplp_q9Q++
zT2A+SKU&ft6j1QabY%E!GSJZImPPyfBba{8Z!|SE!QkGbM7`ESM%a=zPc4TnJd^rY
zl$=SDDgQ~g7~~pP4b<ik1dN8Gss%Cof~i%6XU@duQC+wIMp}~{u<vmduCr#lzcLl#
zLO#Hf3=a<@N$J=rT9Q?-{AV3&`IZsLhIV}&JHU}Z1<krMC<H{V&MC>71km2hZy|Pw
zk*Zl{y8E9Af+0nIvs_|TN#VThJ$>#HuQVssNSV_^&{q3CLN>*_^949%IXUncU`wH1
ze;5t?&z2K@K6_CX@liuj@dq?#50ztoosj&c1a>Fz_Lo>U0n;@Q6`S6qnQ$(Tic)cQ
zhED6z@|k!VOE)QAgz=+CQ`;-!JN8w^?c#JxQ&SCb&yJBNy+vaGZkt=ja(S*DcEH&@
z?G}?3)D=)R68EL0p8;gd+<XFbC_u{q;{d>J5s*&Bq*J%~Xd^(&ogrRRfcTcA^4UK^
zB7aT{aU#vE?lRuv#9yrbmUs(}zy4!C@p)eS_5WaM|BsKdKLsLK9@6o-IsLSK2!crK
zZjye6Rplju$^)WC?byl)zSPbUbzdAJ6W_lHwAV5bw4XRzOe6(CujmCsQ4Z0jgxC5A
zgeF_Eh`X56n6#cO{+}1m<9+E5-=78qh#&2{FxfySmRb6a2RA3sgaiaO#RIU&F>UGa
zXqp+EGl%~n9)~+BvhI{$3%M-fhG&)5FR=s3R4_3a0Zw}KP}wJbyw&p$J3dn7&&*}?
zr6~9A@n48QUm^VY`eCbpegjOyJ5BbxckgB?##1mdqSG;IpML`J_ma;JoF@pK0RaK!
zOG--W>g0q4bs2L*1NeB?IK(|y&7ng`1nn(YsI}EqsJ8CGw`)kD&%;~N*vjzdm)ayV
zI!I~xXMhyB8CC8y4(dz*bFk41w7UJBtCm3K2%TkI=o^nbfh7APhqm2d$pXCa$&)8w
z$mTn<RLsoGFbA-Gmqu_$6-(80;+RU&Mtq#|k@z@Uhy;Gssn1)@uQ{SXLBR0{Fd={m
zh3Ehns8s<GYHxd+m)E&2=p4Ajm&ANL76ytnG&Fki4BQWPH^5o}g0aA$G~cp41-#mV
zs!e^cKJV0LzXlMN+Vx9GGx{t`ZY}->+{?mu0X#Q_DnH)c_;dR3V9Nx<UMBo_j$X+5
zo&0NdpB>;)CP2~)TK!C$nXwww$J4%o^tvw$OpcCzjZ;jyQ*Kn@M$K)w4Q%^R*U0R)
zA!E2hLr(q`C+sj(X3-Mc`iAFjPB*X)JMXMcy5WT2bqL92Qhd_-2{hda8_~sKd@-AC
z^Dr6Dh$!tG`n$Uy1JU{pKt2G%DdaM>JP28FlS1?R@KhqNg?y&`>yWc5wXhQ;tdA3u
zlSanI45{pRUjeLXAV(#v^lbq#tDjfI#c?MCcP>?^W9e_%Xg<-YH{-!&?*k@dH8lyJ
zfMc`9d#q`d6&@>ZjSE=c0>~^e?>q$s7)NshK%tHXlKA@gd^6)AzvVEb%N<9ZUo*Y$
zRVBvC+E_A<_tkVs@ZMRBdlZA{m;mPwP0O`wZu<|mYr*09R6r3elksVx3_s$Ye?Qd0
zfg6{u$`+QLp~-G<n`EJvXo6pOHl=^QqeZ1ni(O0Y@#-rd`0Ky>JjT5{TWegvVWiqf
z^D+tQSkg%Ud7gxXWIQVd)J$4GG59B#<v)_M1o$6R9XL+Yd9uc}c(2b$N_TX0fWN|S
zc-8MUUfcK+AHxO&pMYPpMu)E6nF7R}l1bR}=li3<jLl5=P}pCcg?k?UiwNrl_XrL?
zKmvKCC(i(cgO=}+;;ZXQT{asjqTaXB!+*!eH9&{L){cApMp~L0Wjs`95k8x`-w-8!
zSmwTDj4`<Wsx_W3i}Wd8el76_auG>&kX8e~2lmqIgoH2PEABg^(M#a-K^LYt3z|f1
zUtb^C!;9P|r4B}iB@iRvl?0-v77yoeMDoV}1qsxL-2)yT#8rldhI3t5KF`&Owdr<Q
zY3Z290G>i1SRzLS^K&2KZ{hMcJFb@;-~R9J^#8&0{{Q{xpQ96bw5c3@9w&zJgS&rE
LSvp_p!PEZ%kf@8w
diff --git a/public/latent-spaces_files/figure-html/tsne-1.png b/public/latent-spaces_files/figure-html/tsne-1.png
index 6d247eebea219dda2b46a9fcf96159f4b0860a57..83c49d493b47507ea0900e223f923179cb7e0ed1 100644
GIT binary patch
literal 337390
zcmdqJWmHt{8$ODP3I>g&AVY_Ar!jO%H%NDP^D0V%bb|r|5(5Gv(g;Yy2ndLD4qe00
z@qY$?Yn?CW!&zso^X2Td-sN7ed-i_fj_bbe>oMY$itNLCl=rZ(upY|GLDjLaZa>4q
zy48wv6Z{{4Y-lX_1J^}P&m9ZvaTw;m8*$5fmRML%u;ii7HGQ%+r>)(o<WsoL-Ff@4
zKEGka5mievRos#}8l1|GxKKEg7Fvj~-Wl8!7E#E94z)M9rTcE*m$R#>A02rr`{MM<
zSdArbo#ZplTwLON=}_=7%r)nxL1y&t77Od#9%uJ|_lj6IX#U;4#(mOy>)$QM4Q!u(
zcOi@+Sor^LzhD#0-S~H#f^}2;-(4%wvyi+0Zgp?|UoUNKSiQ+vk;j6EhZoKgnO9R&
z6UF(z$C_<cTU$nFW@ZL5g`8&^PiU|9XvvK3|9eNk+W+%!{C_g=|DV4!#CzyASm^+!
zVSWiQF{-$(e(EmQhUs!mw*G)2Pq4eK);BTsFegMDKkp(;8B@hU4}p7DjAtq_b&^A>
zq(24Dq8dj>N2jN!St2>>jls)~sjuzkT+la1D)5wFJ^^(h3x)O<vslMuN3*2M=Mb`M
zm0LVdV?;5?H(wl1>chQ;w1A<t4!^{hj?YMdq?CvV1zwo6TDV-XroM@ZbM0gfQUpmO
z6%=qhSI$f%k}uaO>LKkE*0gZ^Or%sUyqi#?#tC`~Rn19iIolRPwEJ^{fi#i@q+!PM
zUpV#k6^)0llye`KaP7O7pPzoQX1Q?_CHC_iWb^kbJ|#^8Dl;J}GQ?32MOS3984=`D
z&#UuR8;SI<ci#S3UtgD=r3UZf5W+Y@2(5VV<@wr3(c23NF`Bxy@MzQ7RJ-=hnnogo
z%v(Em#<iT$pPXZb?7HcBA1qXutRX`R;c01)0+07TY`}XyN@c4MVq9lVf)03Ct974<
zx0~DWme&ZsmO`=uOr@y0zW(%E^1OBR#L&>t(rRl?Zv8}>v|LsnpHSv!yF}5AcTRY*
zco*Cj%uz)+>=5Ms=1*2=sGOX!VXK~-b{bjKB*rlt@iBuvRuV?~H5s?eaz(Zs1;Tz$
zOz7nx6Z7Bx<T|dAshxz6Z`3-^f(@6Fc-b<$BQ?o&YBZ=pM2LiDxyMFqelA)l(KLg6
zD^ovIFblUK{H@or7j&9;i>sp}QaVYU7CnQRhvIcmP~=h`DN@a)p`lsvRe>@ohs$M|
zBN8VxRo@#Hbo34sC8{MUWsLn5^WMgOzT4@$f~pIbOGy(qCnRJZ-0Mr)UeQ?Ae)pOD
zaHU4(nM#Dlpq&)=@;#nJ96}z#k*Lc?HXU7i$jQXcb!Z48#>`FEDY0ki^5P8H)%DY7
zZWx+Cp{E%1Y&kNvq>Q9XV4ZQ(jngfe`TdgN(#MHLU(^a!ksr^mX?+OMQQpyIyNy3m
zE;ItlfEZ@jrFWz2$%?3{FnByEmOp+MX`f5QUO%R*XW-0FnL7sqs~Liz!UQ>v$~+c~
zAqIJ9Mu&Y1X3Ce0A~uuV>{j!CDWn}eY+Um^pN3E^r}!jk10K}UQeBPe9CI=yCn9VL
z*p*$&4iC&t_l=*=CWrkb>DP39=g99)bWhPqe2Ie*UQFcP1Z#8CggZJrr}izY9z=rA
zwj%Fi9FX%iVLAe-m%`&tfUQPykzt(;F7ZG!CUY^0Zj0^(<E#O_s<ABbq9?m{%D9SU
z{343blJ0&V-LkJE{4tBi=;~2B0qy?fG-i6&ZCM@lj73V;pVEY#l>*;h3yd^#y?7xh
zHmR#NT3<Rwc55x7+rA7sy1u==-PzfB)*=bUfrSa?E_?OU+e1TYIY@<KX`QK~3p5&S
zRejQ@nx(|_LJ6AC|7SudHd4SzFj*lv=@9}sMbt!2x0B`W4E4y<E*+hzbG6Fu;~SC6
z*FkFNdkgm9r-i58L{vkcH>p*OlimM2ZsTeumN{S?cz0;c!^_Ld*aM9*<eBT0H!KiG
z>`XU|?;IhmnH?gfagG!$NkgU83T#jBZ`l*FM!rdhLZj)JrT)@5?NzgeL(@){MR)UR
z2v}hOv%!m@ImqdH&r+61Nn9O>P-a5U1WKf&#Lmc8c`S6<ZBD7ANu|ggy*|pXoIY`M
z!4f(1P3$pd{qO#VNqA&T$|DWlJ2~P~-0hMvr-l|UIQmQU^Pg-=x<X01Tx;|%CW>0_
z_4oHHR4(YWkL$4#(p7at>hch_Y}P939+t##KTw1Xt0MF&##^o~&%#W7f`XhP+aCCr
z5V0fZku0k0%L+ZD?|smx1Hf5}HNP}s5^4bN^{Vq^xu2b#StD{M_PVK#isd50<)Ffu
z(d~8vidM+8xFEV#Vl@KnsHc;{ENVINtl{C(Y3b?G{%nyGC<a9L5_Cy{)F5)vFVNi`
z<@gY#4?hf(I{!4jG2Idz%+SV=BWzNQ7l0tWz3~Q2T%`y#Z$bjT9a4)4$07HhKrVu$
z`gn;<?HLq<Y>E<n%trRo!aZ0sREi+`-@X`CjOz&2`gK9a9{I|QRSBD!L9`Ww^bJeG
z-5p|Zdo@d55oin5PHr8Zo}O|gb@gv~H5hVA`5%_CM1s7a(#@95S7F>hf&HV#e*Ehg
z?YSjp!;f!c=Do`*jEv?{C=P0w-9Yb)=c*Jf2B}sO5uy_V%DV}N%oG}VR*F!gWZF79
zXBR=L9nR$h)sG)e1@w-6L9Tr-U&x3oQDD{XwW;{#sbwFy+?xzs#)QvAA~MgQ)(P#`
z<W`r3JTbGam&qTptNGnWfd*g3%6)+G@&G7=mm1H%X(m8YHNk?PQqO+ib46%}9`lR-
z5+X%G<it`8k}1*kw*&DISAiuQ9YZA)ZX-;M7Xh^$HPqY0Dk?>Pp0TN&bfxB6@UGF{
z@(^t)b}z5l_7Ek1ih)n5H?F_J0omW2s2;NMXukUV#VlDcF<ueL`<R$8f*9$cnd}Bt
zGt%o@J4Y9#+IgBD241C3PQ%pK4!0()t*xi+JVmote7Cdizj<wG2`0zxym^2JUj3yJ
z1DWQ`MI<F@Vq~Vf{2`pG8u$7VikyBiLd=+8;S&QzNw6sgcTInZ*87$0T7PvageYTz
zMW&4Gn<_CE9b{0XUj?M%5CqZnFiE7<4*Z(76J=?748z|hWXEoO+(;0K|1!LEvU#^n
zX-qC&9?rU)HbOxt!d38{DTqLN$eFTvuwQNmjAys*1;&oz%y`qo<ysSnkz)x07VyW1
zJ$eu#h`N3<J)UBR(%_o<gutZP`U?)|D7+M|y>W`(z*z#n#=3uP32GL4Ud>l59%Elr
z2jz3(s~NV#W(k<rqQ7dJu7bpuN)Lgo*x6f}n=gVNwphVIZomrR!oD88Qh#hW%spLI
z1V@BLKIPm+GqjA3%@?Ks(=Q#hOIBcv%mesEz1YK58iRHXW&V8-`}r5Yt(Dat8Xn^K
z?AWH{Sf{U%Bki=FqtbHzY#i|N@}RS=TAMn|PZ|ff9Q(n|?x0-_B_U}?e@B^(WMbYc
zwNd+u#9^pXKeXReel)XYfIVB~?iwbj%#nS(1<Zi<-Od?1J3G|l>s4slcWt2}L=)Q4
z$bQvs8ipJ7ilD@e#A{4QP!QNRSG@&hMv4zHxj-^yU|=ARr7C8C&x%K8f67Z$v*y!6
zM#-2S>)|cZ(9+UU43J(m!*~*>*fj>wP4l(3F48X5v+puxy?=9LM<GQnNBxyL`u&*Q
zM(4ovw9$hc3?4sDy*3_tvlZ=9beGhnYjAMOtixgM7IA#|7c=<5={B5Qr@X^8V92s9
zED3osKR<87&)dlYv#a@gdMbL^3*NDVe?3UiYp=lgW@)K>LU{PjnJabeq~q)nSH0-*
zhuFBdqr*eIs-n7qM{(E}E@wX0_V$=vC$|H`-j%!_hQ{j^efT%s3>rzDuCA`5o!Q`o
zE#<dEU&RIMU#TQV2`jH0rjrtKc!7`p`vunAtuJGeeg~_zhu_Jv2HIKUaiUOLe>RwB
zlB^2wMo&-uNTkV(SV2^;YLmoNJi9l<gU)?;)0dLmc)|<csRVNEX|40H5|gxlyb=!v
zFwt+w5>#m%JRaA0EigMPOWb!KN@k8%Pnu3tr!Lv2)f2B!V9^diBYjh1x)!6#LF{}T
zfx&fHt^Oco<I{+TuY}#bEL)PvAY;u|^vZEjVnv92$zg=pZ~aUGMd6p<+@WAsv1a-%
zFPk&HHk@{~taRU`;z#A>aS*HCv(&PA327_D7~0M)%*tZTWQRw~<g-Xk=Dn2O9Jv=C
z<f$3ISMa3ERlDWUi~~O<nJyb<hSz91#M?T$a*S6Vs@MK7$;Yy`uVP?GV@Z48O;fXG
zEHg9nf6um4V?4&k8`9PfwfHlcm&m}*Z0Jut!z1pJ#C!6efk25X<Da^~vv0`xx4=$X
z8`{rUzz-V55GZj3{Q~azn8$u{U;vA~sJ)&YaXf*trx>ob({%mlng?gSF0kC?_t$0P
zjtc9jT@9Xpc4C{RrQuMIfXKkI1Dj?0Wk^QnKp(u~TWu{@Jt&YvU}68B2QF>SP5z+%
z;NwSuwK1Q~h&_4y?*fG~V~rOV+uPFPIA9M&u1n64BciT7kVFn6-WyS(WRkLZ66tg9
zJSMGmHf(9Gs&X3=02>*AcU@1;1%lw|Ru|x-3re2!370`un7(Vk#VOjZ#&2j87+?U?
zzvpg!)-E*(zVOVshF;|Fn|Dk+)WF1ZNilAPb^Q9x6P!15d8L?p@!}{<)p31Y3S9p^
zxCaF@-2wP>w^Y}@Xk^Vna6~`MR2QyYGe%|vOr@0!`+83=Zxhz}A8pUio2rq>+=H;4
zEDOh0n6xxEgD^^F^aS(Zjq3-4B6wD$u253Ui9N-lZoQPe8DG6-dOz}I4pebWPE0(1
z54Pv{Uu8a*dOmw~77U*J6y&uewRK|s;>8PraXFL)d&}wSP`+Q&jDsLoy%HECg7#4*
zu&|KY3?-%};~gli<h>oQ3k^Cth#BR^{M-H6xF%$^$0<lwQJlmeeno}gVem=gC;<HM
zYWfPPkwhUp3bw%mwYj#xAGfnK?iqnq42iqHQ-hhiHh}4dx&7!(>$t&2Rzgx~)9910
znDR0p;@>)(5X9GtZ-+ynUvjCzT$%ro49=wQ=Sz&Z>Uc*GWqc;CJcMV>aTv4M{l`qS
z8hDC6R`q{aOZ0a)2D?Jev%fQA($L7LDQy9Kw3!<d$icTaHa3>se5W0z`&%L$l;h3J
znDC5z_$~^U*m978Ac&J0F<mcj=`W1W8u;dTBL}muE_be)6O8V|vUdAj$~)K_x|xGx
zgszUeq|7dS!OT?uxnhuf>FDW5?&U#T@Hu@}QWb>JY#<}ObaZ_u`05N(5I+OYa^1${
zA*}QJ00_)pUCb7Z*tX09$9d2W5)ZJ#>q0v~?|&;{@O29OUYZP8>+W(}fdKd=xc*=A
zF8}xR#ZDfkh6)jikW(Y+-}I&7YYDR9CZ~S<Sh+}pa8JC#xWd`dQHw1(ij5RJCrN>^
z<q$;+(QL`UQxASh5#-k~HIf>AcukGK>`_#n&+gpw+R0=+u3kjAT=;wD`JSHb(NZ06
zFE7q|Ol&^>emynLC;*^osHwk;+mbLx+EAA%-xU`R;3l7H_S*V;c^Pyx_gp|~<5k5|
z36uS-iy&jEox$8lZWMS^@Znd;@CI5%RW*@;FkZd*w^Qx-`1tJV7G}d3uOo#^JhVf9
zBMW?CW^d2c{*r~ay`GA@?yHaFFx*h9{;t1#0)xDIAHwO^Na2I<@U#G4LdME$af)}c
zvY@)Rt1}E*Jh#o5Y4COyrj{9Dt{aG8VO~c&0ie3su+tp1csw%83#QUYb-fl*rqLpR
zF2M`yOk<Egy$JGe_HOz<?uD!fVis8L`r+7X<I_nqDXMHzaHNyAZa34P<K1A~($Z8@
zgYIO!+=~nTzStsTMX*s`fsE~z<9}TA^YejJ=lNvIg#r2d+?62U8UMHetN^>WKjzNQ
z&o?*wqg6@em(uI@4A$1{_R7+8!_~`-A2@NTxjhYb5jt<8+fp=M<mt(@*5DAx@RDCa
zolu1Vx@~IDM8chB<JMtlIEmV`{6{foKWi2zPA<-lcBbl3dpqQq9mcwzm1-9`>R@eT
z%|oC1yiSvWM$9Vj&3)&-s#!s1hA~{$qnGcwG>97ZaOIPZlH8>H^_8t$_s3~T;!!A6
zTj4{`M!B7e$NBHGNKnVe-yPuaQ9F=dq#g%d<K2507icZQynkZx3Q;ScS?_ryuI)>A
zNl}BWQ}B?`S?-R>uFeaW=gMhg_^&`o98a`P<ZNQ3kc4Q6>g{|~UN@={%IYt5@37Y<
zd2MQ70>R`pB_Xw(^VhE#16vy!N|R27YcU9T=elB^BL);w^+Z{o<77_#iR}a*bV;L<
zsmPuFR;BDEIz_}1LI)xAt5axX%#{oOju`M1Q9H<&Y$Oy|lF^@qYnN6?HG}N%bI87Z
zdx9l--LNWYB)ahBs1*BSZHFXS1a(BsVWxBQ$to8%#x95h`oO1mBOZjk6umghkRrAZ
zmq$fWm&>p7;u-Re4y5}Lwk=z(ep^!ZG>TvSoG!N;S|Ku4F=#6-ky>N>z48ywCA#mV
zxgv>olelS$Q$@~FG|{1i$=%s1nOR>wSTgdgtL829#LU{-+Uwm#>3#6cx#4Gb0UVek
zmLEw9H*<V{;HQz5#;DnuYW8ul(kYD7w??V~M*>|@RH7caF<x%uf2eeHc9k_;>q&W%
zM79v~IU~%o+U=}i+6a!`NJWWP7;+YoP-^U*QxH~~dzE|?*U@|a6vCy(2O}jUH5O#W
zms#6AK_LgMP$P{`!1s4EuX(-zNY!dd6bp<ao)lezOKZOvVZr7{8RRI}<uzBGtugiR
zTVXv9eCB+1Hn^p#O1)S!M;!MIbrK>%Ig=^SVznZZzjpyQkZQo5PG;BHR$*#a8~S>t
zU*w>rQas=0mQ}nFrwCJX>EOD%&V1?c;lQfelh7B9`Mx2|b%4*6Bf!3`#w3dKreIiM
z*r^QllWt&8W7D1zMVUwsVPYzLzAQt4-O}Q2ZE5)~Tr_(Ska;%zlz3rdPR^mGrK2U9
zY|ag4AT^`?tPcXcmy#_O6z!6;*U?G&%&=i$@;}_j)LWa6@9#yWqn!Cs7}w;z1{}xG
z1>qb*bmXvAkA+@}m;ilC-owNt>Om1FpE^Q;xaK`T^|W)J`+0i$`=6nc=gFQPfw|h3
zclXZ*ojDR<%PJ^mQ5EG+twdxXn&fAt6xrR;`bE?3G`P0#N&*SsF3X|U*)F22tjt5`
zO6TghqS+PxM;ThB$L0Q)?Ml}fzYU&{*1H0N;TV|M-9|vzY!40&n*CRwpP!E#qf&CW
zKz=B$v!_e1sfRsT;r1dD44;$vpSO3Q8bLuE7@xS<a`>Gj*?!C*n>0zzR=bG?`^WmJ
zU(ra!;_+LPzeg7U@f+5;{Umn}IBb+K+0jBQEqi$=8LH~^O8;i7D66Ol-YvyM;(tuZ
z?plXyV?%>KwRB>S#qs`+Ds>%g?Xj^j$sd2vleNwWtLmnSi+%2l+vfQ(UdFI+aVmaW
zOK^F5qRq#_wqotv!2q4PM7Csw@d^{6P6qjfEL32NA!l%v+D5X%@=?oG;BMS&!OWQI
zq0+9&A-kfHx}XcuP6QZ(q5ic^khP*30hFUljm=wC4L;QX`~%t#L!ME0ZFz~sniqJ3
zgx2=}^BqZ{f0e$m8i_(NKtxWp68O%(Qo~Ld&O%xTtQS_x4aos8J!?zR>={6r2vf(R
z;y)0mm6e*3&j3~tl-^`U*Hlr%HDiM43Xr_&Gr4pV6nX68Tq4U_l;N>d0xQV6q*osC
z@b*5+v&V!CAKB|dGo2tF;J$2S71iIUx5JA{)*UaP93{zcb-MGk@v$*ZyA=`eaI636
z>f|W6381viI6S+!;hmdIV`*G3w*zI^^n;Bwdk3xN06yo+Eb98**8kqUiuUVFE2cym
zAM(kzyVFs`b>%j5gSUj>U$gp>#PSLKmMNvV@;lHZcP3Ew6P|Ru!%R7V;NJ^=>FWrq
z=LH|Kh-vpjudNYF@m|!Q8(=l^CLD;=mP(*X2UZFd6ZMd-vu5?<{ZpOFu|X?7^XRd9
zL(aR;U4}@(>;83d=J<vj1lzeERDDT==Y}!w>%Tv8{52?)Q9kWd%k`zr(iAQsBC>XL
z7BzGav=$;4kJm>_0o{>@v8`jbYo;7&?(HpfWvwD|yL{>h;g-y*Rtbkc+F&gH%~nGt
z<Yed(lbT)Q<?PJW$BWvPB(yB!s5TX_5S5g4s?mQ=&~L?O4<8ea%oC2Kijl!og2G^B
zk^jn7+R4dD)Jaxum0-Q8{)^a9i9;~3a4HP=uQR-yBO5>kh|`csKZlx<kJ$+z3>Ip~
z+uPeGX0P;#2(99s7|P9%`VI(Zys$NgU6=AC^(-n`XxMzL`OaUN>InxYXJ<Z?bm|pf
zWFC2pjBQ3__X2*XE7+<p1u4hGcfc@Ir<(&CM(svv$E~Z=-DA@OXPpHzLDVkQE~P!x
zAFKlo9n_)<^*Hs0<kjq?*MT%Gn%$Rf6+8ji@Pnp63&y|Zqc?S<w$9-3zb8-BwBB>5
z@Q@lOxxGWZMGX%y7nxf<iU<B4)%=#0FdhtjWJJS$>$#LpWco>`zG209g<)MD8d2d5
zDk>M-f2(cfiMa&i6T}heA`igUNgZp&#>PH+Ind-l{-yY&e4gz0#g*(g54M&*Q~-!_
zZ%q!&GXXESAePFa#a9hK_#nrzLEMthP?vJ9(Qv|V!(^<%C(Vx!`>2$i-0T;SGWCQq
zt_#58Jm-bm_FK7E=g1$gT?BO^(D#SRG<%R?%zS~O1E}+rflS>Y0xYbQ``3(4PVe%5
z7df{o)HdUCnJXBWb<IR#H;hrpy;sQB=aHa3<7EkNP{85%jp^d?ja24=O9g4Qw6LQH
zJ$Y}~D(53q?rMp7lX_O_z~@(g>0d%Qv~~T}p-u`)d2hOkM*IR@<eetSQ6^Vtldfq~
zsrxEb-Qi3`%7Y{P57GJz@(Eel+3<=A6Aw&Rpyis#Yjys$<#lyf+cIHWn@n3liV!{d
z&x*aEu-=!WL1OKg+8EbbRpn|XW>GQ0D!55nR@C}1R3YIhjgnS(l8l#92ef}d!7FJs
zM3-3YnV#5$Sm}&u9)mn*)#<o60N1+#;;iQ*je<oV9#vCx-2V2lpUv#bW5xFZv{5ay
z*1#xCIHIXBUQz>S6<Tqh4+!Rg^Ie6@FIIld7Msx!gW4whp4qlC@0^nx1_Qjg2(rm9
zPXUfz3iO<0Q-(sg65#aGP=&Hz8+u1S5slwv=^$Q%fxULKfb@2%-RPj$TiO4+iK{L0
zu1@P+^6w8kObApIJEjg4dWnG`De^hUCS&Kym~^Bs=wFT61xB-OI}^l%z4Y)%!c)1K
z37^alxu>jMNf7U@orK3|OB&YoO@Q}51gED8G^O+hm2~{hnK>j^cxbs5(AA31p>>?^
zQnHaEhw4Vbq$>|?A!b&Py}+xRQNhdS=Tjoq(qwJUL2uhEer7J~(da^|#*Cr=fpyry
z!G!b_(AJWWlnmnjZXd13Uz>iik-Rg8$&q7{!_p{mDG7<kF*1vLx<|BZoLz-f6P5lG
z8BCC$X4#C=mO>*Z!ljxqELP3u_64NUt}ZUzn5L(}=7w?U=!%Z_dqgsq-cRK~Yx;Bp
zW2qz2_zeT~_u^)SWJZ4J8=nnkNL`gY<h|aijvTzUk<gYDi_4<-s)%{4dp?>*O=wEz
z2YObVn9%x#`t;%wH20($f~gdw)T((NO5Dq++8-a0ijxrvUp2Qlo^bfq(&8L<DZ4=O
z2n*|<7C@G-68CFg5_iNGa){+0?*bALh#7>=%oUm>Vj0R#YmM84zq-4-`{V81<vnvZ
z87Kz|dS+ci1zJB26--4%_`O1Zf7-4RnIufb;g9MJEO2PWFaAW{rP+`fq>EP<tgAD2
zteqqaP=rF0kiH{`n8Y_1g*g@~2E*ycR(q9U^3^^T;)wfz@Q4Ck<Ku^zvhFpmu6<lw
z+?Cg9s(autvfR=<i7o?Sq5esi$kp4ZdgA<xZ$Ejp+)ioG@Lpmt6FZwKhd(q)oz-no
zNz1B4+cW<si3>zQ>s@%K;K5jnV~sxTmo)rs&|5v)p0*!6TrZsbVr1f`=(k>RaK<MV
zu~-`XWm!sP1!eZVXu=lONt7v0eqv9WE@mHdoF2=uX8c9j%*p9@?YD27FKHyj#Kc5I
zdY&>4a@kWga8!~i7q$uJa}&=pj~tA|WY`I2_6hvJq`PaYY4s5YggIZv;hH$ERf>s{
z5ob7Wwv6C*0hPbMKY(mock2uj7~cN)IKDA}w^M${OF}L!^k>8?=|YK$QP0enlgjyz
zbFT{wK4seT-cB8Cgnw!o(wzpCM5;(Dv;6+tkGCtEL)v>5?KCVzkg9@SX(F-<YY%@=
z0N1&Ph5I$t@GDCf{B-D7CZw>|OR<FV%PW;?&qU;@7k{m*^QB0c${nx*iz1fs>$j##
zqB=bb#EAcb-!+Gr^cTmNu@ST7mR-$QSEd)3&~7{inzs_kjU4oNI2W82r#33=+|Qfh
z-h9k>7gjwiG#h}*kr*AaIoO?V@3Cm>hYiuYt)yua71g%e>P=AiD^sdyN~rBs@9zjk
z$)?<D|B>Y}IIs6Tu~>I}?C;hgfOBWldtK<I9^&MOeNK&*xlMkr5~FN8q3nlK(X_O*
z6+uVS-f(S2&_s?}Tj)$X3COVoZD)nzCpZc)b(ne`1AMb9juyX2@5NAEMCgF;O8T?W
z3l6LN3EM}~w)8CPHOGV5VyVIJ01FZ#gqci09q0fJSap)aJz?ss$qHmfLk6VMbdZ#?
zp_L-p7`D&?petdSu_ig{>FH??!`HgXW#qM_WXp`C=c8pZoOFkiO69xpr5CYpZ;Jm(
zt6zZ%(Pyyg^w%Yn_`Is4>Ds$Gx!B?A(RXq-hd+LB$3eOMP(D0}x~Y#pE@~#i+fp#|
zDUIohPE-@%hbTn1ocXBnWb0@YB_3$Wyy!ecxtN{Hk<m@6*czjiN=MJzX)ot|k8wbP
z@4LHW3<7lCyvy<N-r|JAO4j|@oRJzT42-D3AnU*6T#$@Lo$3J-WJ8Etnuzj<H{R~z
zo=<SF3Hpj+RX!%yj!`cqzRwIv`a5UPf<&P2Z-L=HOxF{M{7wBn^QCp@_g9vrN#5UT
zok4%IhfGjPN@{j?mNu>{1O3dq*J+sB2)?Ry-zeUO7t&YzGlQp7-yW)`4kda2X-I~&
z6Bm({L8wz^P;3F94jOi$iYa6JFrMAaA)m0hwUwQd)BCZs3>RrGr8;$$Rc`~MeQ%p#
z+!Ay_B=})bczd^VN+m9Mn1|_8z3oqR4TUCz<dUqcY|&!kH_r9bpII(eUJNOGv*?>T
zg6^@Drn)gQOdl->zGp$%TNr8vtm*<b#^A!Svpbwp^?;KAw$tF-67Q+!FnIYX7}Y;H
z!$vbYl{Ols^KC99y|J&d_^hJ#kKQht%SRkgXsS?XXt>_Mn<vk900K`Tn`sBc9|^?G
z!^6YH<%>`~m-HZGQHO)v>djbL>mO?$s0^xuFE3hAfSN{Mj=Yt&;4u+Z)__FjeO51S
zoV3k$2LyO!@odi3_LBhKqr#|{N{x1c5URvqW|D^uS_ULP9R!I}J}^fbd*mdKsVH<7
zfEKh6^?FSDo|BdgA3{vKMqX`?(g0k59@8#0N|2vxnd?bp2JMT{`DwiDYS1Vn(d)bX
zW8h0U)toX7?@3B~=QHOix8~OrG{ksyM_Ns(NCR?j!p558Y8N*woh<lq+ylZ?u8YGU
z5T~5qf`V`tCM+zxdUWPLauzsBx^2(5_c=*N`(~`rs9y~J+j;j{R22uHwLyx@=Hkyq
zsH&<W5Qwn$Pwq}UZ~vkiK{%<duCA=y%N!irIRc>@UL)aY^?lcI_u~9Y$#?2LB9u{3
zVD@%psTcxYR@UeqIf$APkyYR)tDyO<pa+rF#JS7K3{lh%Cq@?Km1deue|KHn_ns!(
z$B1Hl#gCCs{WM`~;cuYfJ@32-CgxpzP~9yw%fX{%v5lqX6%tVuS36r<QRSyPtdR@5
zyDq%x9HLvK2#31rh^S6=qiC23OOFyeSr__<q7cL~m&$8n!~uX;n0kilVzF*!yr<ut
zRWU~+r%!kRo$oWs=O`r=Q{~}twOugkhr|jF3JMAcI6t;frKl)Xxj(3`GU1x^QxsKo
zcfx}AWWBT^$Z~kws{t4(zU+}<&##i~2k)iT$jt-pc_mCwA(B|UdR;21W@o0S18XzL
z($Yh-R&`z;q)*_#dDBfqu|YBa3HMUc{vJ=o)pqaLSXF^HWZkO)He}p~F0oU9k~-eQ
zz5g=3#D{adoZQDgZmmI6IwJCHnQAr&J*uumf~eXY%9q8*3+u=kfwg_J`Wc?R=QA@V
zjSzTfON47V^J;PHJ%$mLPJIA8ar@uoFM@)dJ%VXe9L@L%qx?N>n2P8Gln4w|2NHAm
z^*hh|6?R%WZTLZ<6Eroek*7L3ul8N)-g}0Q*oigeT4jnM9?*3GS`B_>(9-r06#xx8
zP+bG=1JGQ9Daez(y}kCmro3eRSpv1uxU-AP?gK^N^w7M<3_nyUEL#D#e{nS1qG~Ph
z;N|R5x~5De0je+kccci;P5Z39i~{juM^HNJgQjRX=eXSF&)t2>7_zH_3F-Q@c;`nH
zIg#<Tyr_&04p^rSDAJnz&@VPFw4h6Kb8|oDf30^XXF$uslR^{s{-l1jsD2nID)<S(
z^y|=WWO4?S<CA1YfCF#6uC0$D4Dv6aOx>)EkObPN*v#*gq|Fv@|7C^vAw7Sqs;C^w
z93_t+-TZWCX#HP8AWUj6ED%k^CMWF<E-o$~Ya}HlXQ-x`A*QBg>%-ftUO*M)hhEQ<
zn%y~~#oI||F#%h-FJ3XS#<4QGQS3CNP>LP}0vMoN5W~;miUb|(C0|a+m>%*Ct7pmj
z!6+AZbqWh^h58wwh)=BQtlqagAHp}8N=n|-UD;f2i!63J%ikXb&01A)u2%iYog>+N
zAf16OodwkymTQ+TyPcRgvHaRO@^3P>V)^u{NRI$pp_nC790A-nvJ=j2R8fTi)B#(6
z1u%?-t``P5nqb?*KX9Z_AlN@;Jo<adJux{1q4Sp}7)EFAj2Wnm@b~c+LG=bTd57|8
zV|gO-rmO-3jbVO{`clHeKD@Jhu1<aLSm@}o&+wVOTk@Q9q=K89nv|iS_6@(sW@wV6
z@uK6u&uM@yf~oIad|U*1r8aY5rJ;!_O6%hEqB(psX1iMBVTG?9Oykva(|30zts$a9
zqZBn!f8q9-nSGfvWbMT2xZ%g63R{ws_14)gg9)Lf*(#u?B9>cK!XTd`8JK}QSsW?G
zp|H;uu;*ciJ)&qHS^KIF&y^g~KRZ7`EiNvGF;~a4GCS#)9-~e`pM)i{jT<y}k~y-h
z-&S}D3JM9O+J6VhwRQ3u8W0A|S}#1iJNiXXzDwn7@KJBmsssC8L^!nWuN^DS%+o?n
z(a!~;@7xDNXa9UL3K!1T)CIwcKj`(}^!vu!{DT(lZ6_<HJ2Ou&tt>5J>c#y?_w+=S
zi#mUvU9m9%%6p?vN3%7YfCB;njgc`PgwS_?smDV!P`KHey>s*d;gNNx&^!g4&DdZ7
z5gz{T)?<>IOaMJ66{|i^B7l!|!6z3N6AP(QN8<|RxD|6VONKW+M02Yc%=;6WRcWa4
zewHr%Sbr@}g@}4K^1WNZ@b}6sSxn{SYg}hIrmw@6?A2gYI-2FKnj?O4mdN+*cBNqb
zW|CAdbwi%aQkH>I$FHEz(fVHxq?Q9g#0(I>wv$i=*b6A5LAo!WSx+A$(Xil1`LDd2
zTHe%y3#2=LV}Mx(i+G%n?V3$E>tP>`<2RoF;31s&b^c+-gosf(NrHODfTCR29=MeZ
zuab=*PJLZ3NpV%gdZ8ATK)2rEZ>NhxvADw>uZEGegCCntGdWRydq!`ck`-pWLnhx5
zGJ?UAhI4cr`J1O_01Y?I=^@XbIUpR%{Nq$F=c{8&S(%yai}z^0`UG{>2kqXMf=km`
zIXRNT)S_I1&&~O%Rft}Sc58l6Gc2l9CZ1hvLgkSTMj)Xt7VMI()kr`*18_Mti%e0{
z!V2=V?A?WH!td}Zj{EJevgq@UW(f#Eb-It?X^$a*J`EVXI{mTh)HFj7KOgWRRpGgU
zN-BNrJd392D}(WJla|Xt$3JA1v+*prj`C5~Cp9V++=R)W+d7CTG<q&J<sTJG_EiA}
z<|T?lZ3OuvXayFPZ|*GowQ1|X%6)kMMeaIRbDGax&^eu7H6Btih8^9e$|&QbeXumx
zx#K+beQ%;e3XTTMEWP<)td9a!@<9iEsyp|x{`UC(3S4Y9_=?q88!D4eNZ9Zthp9L`
zd>`6!yz<#3N$6lIBhR^%jY><LFExR5nsy1+V__*wZP^bi)b@Q^!0=QZHzGVO3$F{+
zfvVzuFi|KpX7+U!=zrYb0I2ZgAeyIro?D&>nYD8UWP=_L0*W>N{`o@?AC~W5`kXwu
zL@%CI+f+?EPq2}_bbQPS40X`g$2H;!j!#)fwI!86loyw9pumTm$G6!WtnHuLT8lEG
zQv{G{;VkkA6Ao6%kKf&zz1>Nw-DERvExL8u1#8so?RBLNGd;$GJ(7-Rh=9OWn#~9i
z6TgQ0)E!@kGRh|)n3}kLZ=frhPuD+cf_}67QF%Cl>)0QlL~S`+%Iws$kKu`xpwlAx
z>0=yzv~ZOZPQIZ&R_O&v(A~1#ZjfOLiWqK1CvfDhd|EPxYqfLfv+*q{8%2bNlk!lR
zcdz^%OpZ+Tp1@QNxftn@t`ic8WM*cLvi$QXZgb2z%=CLx(}fJ>wW|1}D@cvRKmQEk
z2KUl{uA@(Zf?&oP|C<gV3{c{;8&Wp=kppmKqp^#X=JOYfIujh_+J=VgqxLmh67EL>
zHx8iCf-*>+I3jG~$)0s5*G=MtPcO()Vm@dT+~@388?bk9bZmMV-<fuCaWQ1mAu~`d
z!ZZ5z{g*U5t6r{0hs0Z;ZFx5M@_?(zuI6;Bc2<Qc@#H+ieGt_s+?+;J6HY+LE)5+N
zf#jv0;plF-EoNB}S(hnm>K49;FD=$Hc$n};HLCYB&I8|^h2JGrz2m>riztc7^wcw8
z(BjlV=Q3$~d;6TQI8gv4PFfo%K}{$I(!eE%vInh68pUG61!X}W&NX7b@~i-o&H1Yq
zU`CsabCsAj*6Q6kaozxAZryoCMHwTLV%dNG`Rq$}xo@WdtEdcxbT4r*^LN6ew}8~o
z&B|J>)PYi56tu&wFF|0)Lpx4{?@((zGks?2wEuGlo9(r>DS7kDvuXW?+S(&2*{f`l
z9%!6fcBPAYzXGS7+*|5Q7G{W7WV%%K!KFftz7Yq?>pyXXxm8eI^uk6TV>k}6Z*PR$
z_SXsy!rMvk&qEwK(~VhCY*`9r6{HXEI}04>UpB&IEeGYoC$KvjHnspa2D<A}-vN6b
z5_cOE_^(+XhP4B#Jw_%!JyYMYgH5c~H|dV&Y-pX-{hgyLJ+@>gaQdK=IK2)iRqblx
zH2?hls}GcKB;W^QUz07<-JL2!k9&K2(HrA|v#KLWVQl2uk)0bFzb10AMUUD#qb$m$
ziQ|0+?Ygv2{?bECiCp{7*ZuDj_Ed3z664;RkA|FAZ8^Jl@7@g#x-_XvmAFqsmVg@t
zk?zoHktyc?ZhPw`bn}=PpY>{(+nq$3f!K0I-<}BK%9Z-8pqpLX?VV4ohrG3tx{kZ6
zlLec#FUf`y4`CubEMl;lTl1SXZ!_74@G2{RxGN~Ayfck4&^aB$<8tJVj9|2@lFGEm
zq=EB@`Mjmx=W6$4VR<a)-vnLD`GN&AVYa7hZ*73~pW47aD(_W=FZw=c-p(>#u`7>+
zA&(4gq{Y0-+y+#podW%VMmCRS{ds<>Y-AF>tkOcA&U2}Z(ZIvNS=tzxYo#DZpK<m-
zad7T5wIl*%jmUv<itOh+V&fZJ;-r6?^RQcO?j4&}vYwt^lR-;URn@+$Ng<apXyou@
zOG;8DHQB)z;u5EP86j+?d4*R0tppKjdk|Kcnpp`weG`ux(Val{g_S)~;fX?ZV%>e2
z^q96PualaZ!^1<tVKI;ZQ!uDGMJb~YsIUGYXda$#zd~DI{;8zTD=Buin1tyuqN?0V
zmtMRCu;)Bav`2rV_Tlq!{hjUYoSYmsm~nqFQ{D#<3;_7ci=vT^@Aa_%yVh9*<<e=Z
zrnXwvuK(+?1yrd!NAMaW$>dhwcq=Q*uap}<DLtj8Nw$uU|A?gepdj5fEJjH;$wZO7
z*#&lz+)ee4?-C;)Dv?M7ePe!;;4>f`-UFh!p`OJN!b*B&h`UMrPUb7r6Z}BS4N(n!
z<U-{DwXaN?oLiANjHKZnGDY0<n~GdnDt@{1*LAdC{?PZ;ObqMGay{Gr%gf8>haThy
zg)_R*-F+@%dos|k$;RvheTCXSY=5YxXaD^9{>yAufwcy-%bS}ea}hB>T<cbMe(Glq
zjsU1!F$eMo6GXSk3->k|F4rf>T2lQi4=Rl1OXXMc@6G=-u4-vq8)H|q?n{GQpI@aJ
z8kaJP2^Ob`+cza#LFZ}pQTEy*vp(on@(HAuR0<atcMfD{0)pdYiK{2|^T=9~0*qT+
zCBcF>UDv)7^+Fe^q9d%v!RUx^AYqX$llw#8R{;Mt^*PcjBRlU+T0l>rv^`qAVS47z
zpW}BTKq`fGt$uvn1GH~bmWe)c@5968ahr611un$gOMX{q;jWnCy-~|`LNvw2^x`TD
z$ebHyF9sVnEcL!g1$T5XXnNLY!n)?GO<@fQ@P{z(N7Ty+$)Cj)?m#sw#<iYFUtCps
zJM*|%>RcR;|MkyRG*Z>_)|s6GjHqL+MB-8xb{l?pX!uR_f=2A;K1$Ez<Ur$@h)%rq
zzIsxqI04=Mdy)@6@-z?vY+DAJH`ve@r(wI96b)O4H5Hx}8b#|<hn5$#u_KFr9OJAz
zX&SaJhU69{Jp%@d*VnxQ5i|a95C894+bKKucNJK%Y`XRGJ)HJgspRA7O@IFG)pYz!
zk$VD4dZ3@6ZFR4`CoTP+qc4F0v_3}GG+ALaoR<VD#bv}#e!s_FFZn>c<%W&j-TnO8
zjlau<^BbcSM<C#P&A+wOOF^6YmrMNt{G#3w4=4jk<lYwA{9ugkKAC(x!JDG3`IvuS
zDdg5pQN<bGxD9{MHZo`%)aXINQsfW*?)~^f@p#v0t?0d4k0!5@tV%9LY@}~LeICDZ
z-*S}~DQ+S|PhjAjF!J>mi{7vR=N1pKt_F4_p^IRy^Ri+&t3+aso%WE%oXxrzA>k0v
zjt&m0NXYvoiVr^L)*#li>wt<x^Sn?A7m1*J&&h%)r8YQjt>WmbGG-8LHAu0{exTm#
zR4Yakw<ug*%B0NV#mti#!W5%l-LUoj1NqHU+jI&Lx>fvGxuAynn9C0}AcSwrMMMu{
za9!w#f5jvJEQ9qeWk{Pt$I0{!-32JrH)ocrTLSU&4NjL4lDq5NM(hSU+evGTT~}nS
z;!o5KLPA$x%mvzQUnjRf4mWP=ee+0<SIy2${Na;V<G%WqwxjXQJF^BXL)Rmf`!`Z7
zAb0~hZG*S9I4qsQ%ec1tiEc4>17~i$i<BQ=z)JCiy%0z^T{tf-QpxrkBfGR%y=nIh
zO9tzi99D>j&=*3=7g#spJ1R0yUSheJ<hdKAk}q>ew<T~W=1}qDbU*a|np*W0|8d@Z
z+Ew@JnVxHX5U3~y`WbrbxVni;N*J)XKbFux{vrQ6Vzn8U4D5CadZF^hOclq5Z>r@4
z+@Q8Rmb28YoXwY7Hf;VsCawScUJmpRH@YRsB$tZ6;=}WOIAmy`XJBL`v7Qt(%+pCg
zxVF`6fi1(c#x_o;V}=*%;yl57OUbqKPhiEf8hyv(0WrHtbDID9l3QsJK+1-b+R!<G
zqAo*TH-a^wq&L*qL{_WJLq0FznrSU_eG%vI^7jbAZ{MApdlG97aWkr&aNy+PnsoK=
z1B1l=-&n_;YAf)#`V<OFM6fj3lAqXyp4dEiNkZ^Boo(!eWLB!80CAbH^<b{l)th9~
zm(X!f5gZlj{^<fqQnlAsD=644=dfFMZ$eoj4@HP+ao;}qUO`z$0FI(0GmjF;*!;Rh
ziyQLfZT~Xo%kmn|d((P|WJn4X)7M$H294h$Hwk%r#NF7ix_?k_d2zteV`JK&uN19R
zzU{?n=y(9+Q|@cSj14|uQTs$$9YSh3`uxfX)kvi8C~Yb!*%7GWfPS|rj(TqzQ?*qy
zk6w8c6JhpK$1DkdFQ9eMGeIYkVgERBa2Jg}{UtjPp4m;Sr3q(yJMuS5S8nR}RO`#x
z$H_iSoP*8v-@p6JJ`b2Bd+|H_S^Wg)`>uw6;2-aPVwD(KR>T&Q2bgaV?UZr~Jvj#J
zcFt^=p8XZ}bP3uw&3+pXQ(q*!aS5-T@!Rm?iYHH3h|RgN@**eBjEo3A>$6oeUNX8q
z67=ZWLM|t;oPnVjf*p9!uKP1_ZOJB|AaBUVLT{yzbENS<KD53B&KrQNh>g513H9M)
zF2Woym%obmr)|TW%&7Tx#ro_VWom9ZBtUe0b3712oIvE&pUxNSZZddl_DBM;_{rs$
z;>RdF@~+*y*OaCb_%~}^({^r){a9HkG*Z4WOixeOQyrn2{&axEn!Ox*LXm?%MphDM
z^90xdV5RuGB>O47juKVxL55&=sHWGMm*McZpo9Ex{*4$5Kd-*FaMs90An9g-5maij
zjc%a5Yv#0BJy9zI+XacQ#d&W55$vyUkvk=7fd3jT>FQNnhAF0UN~GzSFl3?7XwObv
z^7n&(`l?6>vA*27@g(P|Gk52kCoHLbXum)&ufsp%b)Ri%yIlXO+BfnX-hDub6QE^R
z;2!I$CBSTzq@F+2?L`t?-ajw^)Zm_JQ>$NVJ`=d#2uaT>UONpa)-IJWqdfod<Hw*}
zT(N7?%>8Z`rRNmYJr+b=t}u1qb=7uE7@47^ntR$;m2;1E85E5cyc2k}kx!|9Fd+kM
zZEdZrR(SBMT3Ui(M@-zEALRRQ{O5Y-X4-<OWE-v^rLyJ&LX*t{<6ZF`5c5H|Y78DD
zL(ghiDcFqT43v6td{)L4<5V%7Zr?Nd%4lxi@l@;JbfNmI#w({*z4b$z09&wC${93x
z4v&s*+`(FrX}F8EabK%rADnI4-`}V2L@Ww3wUIR5J$hmx@*T?i;N|sD%aF4XxVt8&
z!>P@uqZKq~zr0({rV#-veE3dRmq4+Dt_Z%kD|P(Cf>$K)^q}JEv?6#-(WI)6@@b!+
zbCS9m$+B;3c=L`<>8NZpOp&z~=)jL=o|tNCC2+rXVGmAZY_tgn4U?I@X!YJ7uRoOV
zo3kn$j3{)6;k3SU!G1zVI7I&8i*be25c0JAF*P+ft|E@0Fi%#nw6$Ghy{NK`26P9w
zNKM#a<mNlyB7I=$6km+t`nRxN;XH``RhMgHa^oh}jgX{$T$6fqGf$_sw)P4V+0LDn
z-a{~iYV>QmjGcZI&2xuf@AxQ!iMnezs0-{+8S#7v_VJ5iO+OdkBBU?=_Q`;A5b7vs
z=P2C9$_nTw(BMde$>n}(3o3i(yes&;Ycas-8;BQX(IVpFn@49*%?Cwf=4(+=QG9%S
z__1e%Lm)QK*j&lgr<Yl`)tzN(r!t^UYKBOmW#b!Nm)rH@uepJO#Aq~U|Fd+|KmaG{
zT2dTJe7yIm2xB&RSYu4xz`J+viuO8ayL`lhK>n-dXh=5V`o{0-1&(rz+8Nb*tl0{!
zve^x`7(`dbbiV6b3D!DEi*>cZqR~T4`F%4S53Ie4y-z2+^6buBnsX_Z5trD`G0Fym
z7!YrXAI-JwzT*m5W;gNenhrW{rwy9FZ}KFsB5=z-_&_$eL!`xXW6W9-l}>xHD%*0B
z*>b{lwa-P{3eyM3gJt;Gg11hv88Xe`t^qr^ioTrGy7cgqR36bNQkibJvf=+bIl18>
zTG#WwOqP(ebT)AIF4m%*R!>DtdH=(el#~>jK)}jRXRdicm?Va@S&*aq34o9Yh-JN5
zS||{wP}Exl#AcCigLjz{doY1vV{bI8NX?hwam1Z2w^xc(ziz|PvXcApMILsL-YO;g
zr=dQzL#3K*H?R~%sC9PYmKSVjH=rzbj~L|5qFs$@)r+Tum|^<xdI&30{=rdd2H9t$
zSJ8V<a3ot5!8TTv9j%7mKJGdo3*IBs-#`Q%R)Z}LHgwQ4FgP3ZZUzYgwiCGH4@BQr
z7nN~=n-j*LEcKYBug_19FZ8v$N%bsp(~?dat*ps0PvV+yvP1&inO8$#pwB}AJfC2j
zQyYSZMDgk+s~WJtWu-Q#Nj4VNKP^Dxn#buXDz<B}$3mT#bb#NLZ>dR%!QHL0pjYyw
zO_=l8QroshKdvS3GNJ*r6VS)&zaM+|-R&m83VFHSK^&~~>AxRVMI-6CxxrP;0-YeM
z1hrJuFy)!8xWly#3=PY)OXK+5j5$-I^bf=d>ko*HX49?A7IK^o!4VVH!zy@D0XRZf
z?+Gfz=SepSpA6n!eu4u?UT+Wc4S-U?p+PEWLTE?rj+ZO1GBtL&9lzDqQz}eyhx**O
zbq+c)<G~j?SjW?|7t{W=xl+NGiMi)X8x<{=Th76gcYOM)Xzmh%Q+iu_+PX9(YtuN&
zZ?IVCJU?u8LnEp3KHmX{sDVPSW{=cJ3*yDE;KqL=<Oes^onQS`{V4GTY%GOh*<7IY
zx^PhC(-PDQ5ya|n@at+Al$f{aQgbpAN_9n3ln1Gfc!<+b6`myz25#Um^o1?Yz>94*
zg>oE1xO(@Q<=s3z(kTYr@j~e-g<o3NRFB#4KYH{CB)<H!|L7KqHHyHQ3mRuz#$>Jt
zD(-G~I;QQD)1TnvR2h?i?oKa=@}MH+R%kaQ_jpKm_p#UTsZ9by4>)`|Z{`J97Aenl
zk|EC6_pEgkKH<?C##XlNT5v0L+q?US(_&rVZ)4^nrZ+BguTF9?y;-2ydV&*lS`>VW
z0z#>Z^WKW7S_FRZaXY{AJA#(o`z<cBFI$eIT8>XQDz4^0u>Dv*UR9Q;tiTHUZK#a0
zO^f?lfwi`6E;pjipICe9>J2VO$1R|;^RBN=@0&>bv@k_Dck>Ar{ni>cmFpmY#cy}X
z70W=pw<1|#)F>`pNyCpPz<IFxfZwGI8FSnFgaVHw%v26q9A2y|aG6-RZQ*rqM|fy%
z`tQWVNpRTJ%YK}#ypEi;j(`l)g%Dz<e3==BQ@M;na6&C^aCg+s)6p?z#|4f)e7#|F
zCi6u^O6ux?{XN|{uD+^`@rv2?KI&dNE%(JIke6&~FMK=d^M?-)ODmf7HybM}=j%CJ
z0uAhI_<FIP>?$>F{<h<*Xxxu%GBF2{Dw~9vqqXH^CG#gOkiY}=>OTI}E`ILW6!P-W
z`RZ^+R7R)5_;yHga`IgrX(tB<tk$uyN7O~Yo|^;DR{Ov|L?Jm5Rm-u_!P?owm;KJl
zA~Z;>X;wOeJztqbI+e?$c`BH%h(n0=F5#+GdI=qso$3wx*HAfqd-LebI;`E-5`*UN
z2EP=(fjQK4^wLZA^DK9iYUZZ)DNBTf$N6RzeM)O6SED^+`E&!@Jhta>M~}Kojf9X;
z!_cw{QST2kU{(C^id>dF-mL$H7p~;NYWdtd&>!Ag_&M*QTQMGGcL-AlFrf1hpBSr`
zxA)yehPy5JeAut1DtSURSnP??(BM2Q&lc>@6>!A9zP@Y~Yq|#!-A5O7b#(wJuKG({
z!#zV0o*S0{o|&BV>PVjSsOCuce^W0uYz{b~nmz6WZaI5_iCb-LZR5>{HTe>E-`>EY
zo@}YrWfi5yi<9^%bul7!fmzRyx`4ham4XK8-vU@Kc+eM@kHc@gAd!|BQ<>_a+h&!z
zizT8*Sf?@YHvEM~LI^mlfP4b+rvDSrMY9MdqE~kCNn%&5dgNV-{)2-DKc?+Jr-$5<
z?cjcptF;G*kh!{_Yu>aH{^egrbj7Vk;u!bs*B6cf`bXQRLPg?iGzlC>Nm9Il_>EgG
zeMcAG4|cIyMOtcEvpuUGgtc>96PHLHC#Jv2j5m*_d2r`QJBs852N&iF{xEKfNouOU
z0B|{aY7-2wa5Eb2oGt3P4%EB*Ld|<IQs?bb;-_RlB7i0Qjoo3-Rf83l<X1(@4p0l7
zZ%!BaqCWTF!L59c@<R$&Y%kfFjyuZA&~>Mz)zrzTuj<J)M9K6I+?h%LvTo?JR%AOH
zW`Sti#oF-ifa@qnxT#xL-FzN0GvP^Bh@cJivW;fKep3@@r5=85sCisEWCKzwn+<v8
zne5+Ey~kKN4noI3i)o4t?UzeY)jK#e$4T%0?x8M6(w+CL$?^7)8T(4elFNBCF7CE4
z4H+#iNKqUc?_8^1ZsuN0<X#NSo-32T2O;(pDRp&XX1-S`jEGy?&a|Y!!l8>*-T|Cn
z3reiT{b1RK{}jj>FEq<10mivWNELHu<4a-IhR@m2;RmZ$t6}Zd%nuN5^6ng-JEZ0;
z(WRt`Tl+Hs0d`FGzDpWTuc`%hrZ)Q>)GW6it8SeIm5x&GL_dMWx^ugT-b;Q7!mrg*
zBNj7U$!MMh(2#yiZ+BxC0l?g>QH1xX7uDl$Zn?hFIgRmf8W5`m>>xIxoBURcIo}J5
zgyr4Vr=;)P^5_{g)edLx9FrOFptHNNXizasd43a>Ba0YRM%Lehx7)mP^;`AgHvpd(
z{^O-&BTP{d2S==ek`Bhp;AAT}gmb<qYhv6SFoDT6kI2ZlJh+UuTY3ru3@MkyZ(*6F
zZrHXDl|P}2iFPIGV^tf<&I<KPVrE1fl?c6az3D)1iXC}!0uDqV#9~otMa?erZLhhz
zJL_(a{;tM)hJ`ctfmxAa4C}+UcDVMGpLX@CkdP2KiZ>=~KvAJQ<vPfVt=-#asU^1I
z$iXEwPw8L2@$LK_H_c5Vz9Uu9XE%RfQ)0h$`Fj3;Xu9gCteUTTX_R_EL_oR(q)WOx
zq*J;}x*G}U?hfe&X%LWZX;4bKQwc%*hWEF=$A5IW7IA0p%s%_<y-$yqBk(8(l!<x9
z47vn3uiN?eVBNR<x2|-&OK>E9_t?j)yfR?rpxTB8XZ!t(uYd)G7VTJ5%-{l4thtG3
z0F=QNRjZgILnR@qc_ymc;lcXwZ)5fIp@M)hVz6bcOoOEo0pn1ak%{Ogsu%>pCw=)=
zO~2bM&H4lx+sNenD_EK1AI*_v!ZDkOA}oA-cVXN7F`J;Rc4V;T*pfJ!g`ip5GHUYb
zg5Iu7Ei?<tama6R?{{5U(Dxqq9tF+pJEu1b1W={tZdxxe1W)D&+?gtB)+}JhqvPib
zZ1Qc%-k+PkZp-|Egj(IY$sOxo*vFd>E?SL`y{0U~!w4O_ei(srWs^mRe<Y3{A;hSc
zQPvSulk^81PX-V-s3@ie9>3XT2gB&YVb{Z9s^5O<$;v<Q-)nH|yZ#TmLW`rH84hn%
ze&L+D@D8N;tx`+&jZ2!$xUK*Pqmb4@ry9NQ7A0w`*Khh@apZ67v+|*fxo51b7g3XO
zZ)T(1)D{FxGhV*;QN^o^Bnojd|Jzz%s#h`t3NzFvP@Dth3c&If6Io?y^jPg`3$DbI
z@#;)dw1p6aIKR>!xvDIrA=Oqga{c!alq%y^eb%gJ*vtae&Ldcl&lQ-=%+A&uoz$Cb
z*4<$=ExEdXCyp3k`E5JLX4%ZytMJP$di$X^X&TsXfP*r`Q4u7{q=$PYPPM5tzcn+X
z@TIBAyyP38$h4W$60z6A_ZIzwy3V8Rf8F^GEdB?;-vc<8`)9V~;T+^EWv<=tbizG+
zZ?yRbj&Ecr_wSKK?gRC^l;2sr+}tf*zpXQh<1yj7$y#I3P!|ebTPo2te);lX7+N!D
zoyw#~zs3YWs&C_rBPMQQnXFR^T!4kF0w*8ku4;}rh5RBeb%ls8=8mtjb)!z$jmGsq
zE6w5bG1Ta=Qis=`L9xUXpabclbyzQ3RF7?IS7dLz*+O^|-hgcj*t=JMDLQR{AUr6&
zq62W$M3{2r37M6$zu9M^1NW#I+*;nLH)`{o7HC#!fUcfUKxADG<G^Bn<cn}7ds1;%
zLIo#8!w>28VkLyepz>S&bNSy*XUt6?hX_ow|1KZBnvbQaUzdUH(#p!;M4{V6X20`D
z=<HqB?{}bCc75{ialb^>o%-zZ`QN7cmo*{>fEL%k0sH&V`9G@QAx=IVP5P}*cGp+#
zeg&abKsfJ2+3NPuj;O8u<H<?fZ?85+)$pf{CDoYBK<I=`oR~7Y?F5_*M(-BPinPt6
z$P3JQpUVtP!=1tdh6oGl7G~Wi=qf)X&G;wXsXuwC>rHP@vz6AK+>E&0sHT2V)${J-
z$B$U;>tv|93)|_incTff5pm-Ur(xeUe-ik6lmW-A$KrOU2!|PIQ7d3u-PMi#-#1Ao
zN7i>dr@DWHMoIMy4E%)}aKdO~Hd)XIHyxFCm%Z$gN4Fp0<G*V$o88oMQo(IsOPP-P
zqb?`&tLY*+V4HQjS$TZd&a=|6Zyw8-wY$}82(+=-2WS#y&cBri{oM!eTGto*e~;VR
z|F@?9ZxsJC6odPX7hQk_0Mx~5i=!Bw>&bGfz3<^W(zE`@Er!~A2B^{I`eOtO_jNaP
zcBorsY#Z%UY5W+OiR2!Y%rpmMatvK0XS#eGIodb&RZ})N#AsR8^h;c9X)!s*eYIy9
z36+1;c+~}bcgE7e`*3`ok~L1kpI5o%a}YIXVlq}Iu>f;)bycTxb@fQ!6>Y^q%#+MP
zExy?qdkvtc;(dtM1ZU<rpnCk*G-dTjbu&2`S-3T=pT8yp*TC9j4`24%<{ykF_jrIC
z1Dpq6(_cR0C}mmJ0o#UYtkA<YuuVYD(c76>{7vqO-kpa3usYhhsZWQ;cCzLp0pj=X
zZmrAb)~Wdi@QrwS-kOl!E$#|lw;KGNGZ47KyE_H`V*foc(m#I|x*mc^@7EtgJtlMh
zHX7VDKEf){3n#t*4W1T%i|^glm+!}3AARTP@CpzDB<HTKV09S_zWcA4Q3AMQNYT$E
zEZ8;>rTZcKx9;qo6YN1W7G+`+42>LC$Q>UVmzI{S8#8u!^2z;d%XrvgXbKocV>-<s
z2yi35zAG!PGaM^`U5b9$V-B*m^z?l14R0x|xH3gx06qaet^nDnNQI{f`R69(V{D3q
zvI}EJK`@7|GmX}S_E7Q6{`c?S`KqzQ3QB(*ldKrH5tRVpx(?%y@e_n@d~b*CNI=Y)
zb$Yy&49HDSzXcmZOFqrtC-<iBmEd`}B7cz_04S!)vi*)knKE0UXWfXmIWsx&&I}gv
zKiyh>*DC9Z-#eb6EV!;Lr@FXDG#aZo^7J@P3MJ(QySz;_Fm<BfZ8LCK7Rg`S#eQMH
zl*+8z!jdkJw<%HO8n5|Y*O92iBSdcjNHIZVjxuhDQChK8U8hC`SpLB$SD?^dIDD_L
z`m{4p1OvG{;IJKzqb5Xik+`X~^)^i8cTiA}U2{9J9X5ODGaQ!jH(NVEV+W#Zh@U;y
z{tSoV+yws-j=m$8%lMSqnCQZ5|4K#alv$0V94Ht0-G*?n^%f+IOXInLnVLI>{g}lx
zltBEK>k><%;RnK02eXD-*{Lge)E;ycQEsMzLQ%*gE8}?1`gf7e$pecx5J>=6-;}sJ
z9kmGqDtysw=Or#=NV$0A)();3&tGatCS#9GzLchWcBU-7p*X4~%xP%FXF_k0u!D0U
z_nnp&_f^gH-Cw(A@Ap0u$YodRb=aJC680BLWE&x9FOIy9UX9`hg<YvPf?r3U>#=q5
zTZJ}58wL~Gabhk>^1DbBf`>tgL=Z_zBA^T<n_8cDrX$sDasw}6vGB+zeyegGqbwr!
z;w6eIwYnWo{i!i<&xnwUZ<IRut-*ORrR{)ouLlxJmv39KOP~_p;(ptxlbxRK$@6M#
zEiw!gFCTlsIv4Q|<600{WaJwa*?C&i>;>AIe@_kQrdrGRGAx$gC<uh5lqZj3WCfbU
zx+l-+g&|QYGAiMxm+_n2j5-kody9~w__5pF_q~zQ*~$7O6&z8IoL%m>tI{3HJfro-
zP5)+mjP&ueQ(SqoX(N(Upmk4u7@}MDhey`<q82P-W$K5+w(7(A#5~3KPk8VVgA2(W
zje@^bf6Nh4uhJmp`q?^Xje(3n@|2ljR2B~r4m*4iJ6*NN3#t4`<mA3W&x%|_O%9K9
zajD#bbt6}3=EB$4-O{)Anw%Cq?xOybiybu}LBb4lLxCyTNRYk>#=e#2JdP$OCkJYQ
zvJT-_eZYNy`4L>UOY%qJf-|<J$YsxLrgfiwY}LIav&PSlu4t@CqFfp3n)Yu1By#1t
z0qZ@<uH%NhNgCld)S+m@KD`s11X1;*V!o@IS27^INNUN!@DHm(Wb|_lSG_l=@EXHS
zC_t7xj(qcxbpRbX=-eY~mj}A}LW(F-IOXBs;>$sJd~#w(8WkQ8XH(T3g;#zIJav!7
z5);#RK3#B;&ZA8}VrBiOF`Ki8u7bGFwb`r5F<U1fI2fuCxt>vXTpgNoDqv1Y++YKX
zptWrR_Ep8-*DBi>83-5yX*@a(fKsaljbIRzgV+NoCwZDLr>U|<8)-j&rlhqE%!&8m
zS|r#bW>#suM*UEzDz5x%{++#EZ1r}M`CIF6EdwT@oG#AZ4$q-r81Nw@c=YEe_VYR~
z$x9qK47ZoBR1niAF+5K&jX39LFpl}nGGt!Thl*{+xLfut^e2#R)Uj8CRDuhBMY0Lc
zl!%)X4P?yLylykQv=C>n^TjSXaX<@17g&x-Q4-QtqoNbiG`grr*$B*Jo#*L_s~(Ct
z60Nm5znZ*!c|1Hd@H@n@W&tR@+ucF%9Mz-V4<+6)sBA+fBidv*9$7}$*wMR|v#a?H
zJG=AF7{NP|uaB2$;A4+ve$?2}@qA-TedbLZc|@JCh_GZjPwO|9hLW>i`*Snk>a9K$
z+#t)@%@*?av$waW<DFCVHiZJhlt&Weix`YlM))VMudgGYe-GQc^J`cF?M|TQl}T6@
zh(oJBWMX2%n>j)Qy-lFZmUO8a{9Y)ViVp|DYg`bT!VE9}?9uP?qkb^)p6EP_Vs#{X
z#;!wav4?dj((IO}jE#+hLm1sQ=}qz)skrBvl)4iHQEgg+OLYY<9Hc~i9uLIv99CQP
zgG7ucxDhbmI04$60v1j_d~_OfhHQSv5~w=>MU7c?Tvaep_a%I{)C)QvD;YWvN#yxn
zh)Q|B2+0@|#*%37E;S|}#kxD0E96x{N<^e96cx1=l`K8&LG-$JS$;;G4+F22p>-zv
zN=g~fl-bz=-dDDuMe=J2RCo-BRQ3P8wLnYpPFtItLU2pxAe;apU#>c6HNyW7;Lrf?
z5$jnxY&t!RCDJ{F&Y{{m6gDIwG!~ltDP?e9_!l}MN>&2Xn~SBO;Ri3Tli4y=06R;C
z+jc##F%H~#vjOT7u#J`Nr07I|;1rfw$%WxDSPL70lyOz$E>(&(Je%8*4#whGO!yq?
z_{&BC32#MxZP6dEa7bFmhYMgGbh!XlNS(uFnW70_y{B7aNmA120qBIopGxEcZFA_e
zzg%mK#sl~w9YdW8j|i!$z1Pk$4}Cce1@y_wql5EH;(6$+zX@5k0Q@aniEYj%J(H$u
zd>bC-eB#9zf8D@v_}i-={#n&;7hdYEh~!NVj+mmKMY`qkRuGY4D}9nMp*fXnJ-cnJ
zWFb&OB_}^`=Xz{adi5+m?m)RuApB}{Te6*%Fgi(P0Dt24=;#Q%B84ccr<_EXGaN`5
zltk#GE7HLdNc<_>BrSnizsqp%lvzn$M<otwqrGVI)`T-OF)0L1m!qLg5D7<tO;U7C
z`Ha<W9i8Ai$$LfyhK?+_FQ_J{sDyCB^+ZrNnYDP3B|ZgwyfF@>)FmJT$NBMN(jQG(
z#|h4ZczlNaxn!63V^Z<>uj5en5``#tiJgcCrykRCm{Mb75_dg`1}VA7K1Eb>ZZCJ}
zvWX+i6JLBWZZ+vh(fL)DRBTl;<Ee#xmzu~*gDxhF_mY_;I?R$t4k}H}rV}2%v?B`5
zdBXtj1B_LO%dhb$Va`dch-%9X%E8lQWYN*gh?8N*=&s&QQnK2Wo}NvUv*1zH=a4-%
zx4c?G>lvU$6ZxFoup4fSwgv{ElC#Rdi9c*p#$6#<ChBq6x~6=^a3#`TH2jJ`Yu%LE
zpu%FDqWd*X`!)irBcacZmq+7jSxr?Hu{R!tiY%QPax4L@WN?;+G-|+L3{@98zDdkx
zo-ryaBt66y6S~d&N|X%toz?L3G-R(yYZ_75R}k^DZg4Bh*)+K$6!p0(ry+ft`8S6R
z^qa~I_isi~;N*sfC_n+Vy=^vm`6)?U+;pHwnGtP1G4dJLs=GawCl&<zMr}VPnX`Gk
z)hwG08kMyeKVxyTiP@1<lY?iLA@*)KNBozV$dK-AKi10B7!t)domdl@<ptT@5y*+G
z3IpFbv`6iZlbZVSO7%-$J$DQUitV&Fe#CdukL~Y6iD!f74%}I9O9t@C#fwzHJKM?J
z!8$-vV#ta8zouOCyU3SmA)Z44Xe4|yg#yZykST*4UHag5L^T<!C;}8QEKk)Ph6=hj
zj=Qbi)f-<Sh@{E*`?`+9)%h#54ntTS@KO(r+sup#YmJm6OugdZnd}xGRwHs!k=5OQ
zX(Eje35QG!@saBKX#IZJc&}8{P3<rJxA(#>z1&P4dy6(nystHFuB!7_j0+n_lv!5v
zqKlW6uWz<<Oc<0FR#up8O+p)o?4rH^!>61;)pO{~sG#lQYGV`1Xg0c#R$deu-DWYz
z$&$wwJ|}JYkXcrqTxMAq7S>;h!hw@_Q^$BEPG*8m&K9Hd>`gG#4Z~PZ0-j6NL4vW#
z$she_|J|Xz|J|XqAkp!!-@oq;Xq*&eaBv@^S3|b9w*gvr_x=oQ+8`5<v8|w-ht-LO
zWQJc}ijwG0+h-2_=<MOzS@zQSxBygiGU*g@wGixtwJHIobVNv$UNjOmcz?nen#vO%
z`h%$ai}}GTRTQu9QXx@w9~;a334p|&1>Go^|5?tJT;;OcRY2a}(><{=+j90>pXUd%
zvTuHA(@&th2qN>)dhuq#^>uQDB_DQ(Z`ZRKm#5F1fExuUk(?5-Gm5j!S|>7D=at1z
z=6;$vN@WT8uez?#j7i?IV4sIwn+X2w=0SzXIM6+0lJpih^NgO_r?U8H%g})qz6XDb
z3ZY48Z+=4BK>`KYR=<x2;z+VlK`DyobxO)6cah2ys|{gH=*&%77`|KB6czTer0+Qb
zLLA>7{uw7KpkFVFI(Pq9Q~bB*`hi9F+rEn(h8>yM2FD0W;1AOXJ)w@`B;%;g3S`^=
z<eN5$qcYAJie^^21P3A$^<y&1ti7LY_+MS(jmx%optz%z!ok0Okh-~I;l=qH+j~Q)
zv4t!`=G8%eNQv)69aR`hQoik4jp)RUJyV;j-@`TG$@;6ap&@b9N3to*k_wqH>1W2v
zFLAjUGiXHOlm;1P6SX**xw*{q%0grJ_dX^iONs9dx2zRaFuQpiQgspW!fWN{)M#>C
zj5c-~)#lk|8741jBS2ee)v!5*vv{H}AiUpYgc6YolH#LQ#TMm`5&I4aPo=FFagxLW
z0Q0?BN(q+@l2#a)+Lp%Yo5DhcgU=IVg~*H(s3cAU0H;JH(}YFSU{>-{E}(!6o+In?
zPtz=sjGvV+7KqZZoh2sdSVx}py4cu^I%aJkYnQ3v0De&Y2kU=Qmi+&oD^k3fcKgbg
zxlW$GKxCfnXX*(ignzWIz6~;&{P$pijP(ug4>J6<>+*V>pQXE>+c)B#)hJUA+R_)8
zxwg>+rGK8=CH_VmB_{lZ?xhh2pRCQ^A<k38ZVGAsqo^tk8|Rym?T5@!hd)Zk`Nn-1
zWEH!=$ujjWCxCGdbb~ujQxD3>3Ruulf&flrv<?Sc8R%ZTS{(;JGNA0hrRLkXY32Wx
zd2HVk0~tF|IB&1@xV(B!!PnKbQNO0kgxG1p6(~IT9Bp9u3Ye{surMY!aufv;B)jD(
z_#`jzIhABNRkPH)@zU0g4t{*}+Q_#%6m{_@QVgbjM8{8Y)RkY4U=$cZ4o72=sp3R~
zKq7f^66LG$yY{P+rAiq=YO6KRjMy+$hk&&HhV{IRoM><CJ1j`JQ{O;WSKQX%%Zvr4
zndBCcPjNiD6yb<UvPIUImS<4MmWhsI6jq`#;@?FU%0ODy59B%T%AF?;fB$&|sID0Q
zp&QSu3%|5lhQl)184h&N;EQI}PI<mE1=kHU>DRG(sSkocmHe*rB_)2J-R$KLDbBH>
zW0d+Qs+OVbo98!+=7w0Hlg`J_Pqd%U!NU&tvnR2}T)(>&B?{yxPz8=jx!rvlw3XE-
zki_hws?!Kja>D3(R#cpScaTSk5eCc@Rt)mRs3x`iIOtMW=ah)RWi=Le7%|Y(*B5j@
zS-#X(`GM~Y((-_iBphr^X;k5?`QB)aipG|f8&j06WR)=5Y@fAu)t>UqyJb`v&w&~2
zm-5;!f%?fRZ%bwd)17<po%I&3WqB8(xG89haZ8^>ani@~bF7QdT@0WOIpzDxEJFcF
z(~eo1`ko>7=RJljF@w=QT!D0O>e|_8Ahj+sj26cNbdb{d5&?8{aUU?l^Ef(zhao%-
zqk~UPS3TiotrkZK@JSL>#k45H7I!(-iv{E<h&<p1KLLScI86ef3L_hiYdlUqd|mEr
z5;>-E<#R7{4Sa}1R(u-$GkII9kPG*epF1}Z@F`SG{`0|m<el46G0sxV1dRUE^Z#`4
z0Q{0%k24%{Xr-dCLIwgNj*j<%&*_HuyHvl*a}N-MBZtHG>OG&g^w62zH;LdnJ{M>E
zG)!Rq-$cA|YhO9NcHgSXu_TRHk!Vb)s5~UXXZgxaGCdpp!4?@+`Dbu+MY;ZfHN1=*
z;~d@kI=U7LDzTHbr_$(4j5Jn0{B@)M*8=1*kNcLUjVb^=qfM3GLZ`i2lNvpeNG(y7
zd6HFC<WH%!>lZIxkTyl!Em0JJREFd4jV$QbR)Z{zty@Dx4hXiZN4g6-XyhasVke#0
zqO?U$$rTYtX+dhA0)&t3o_sd`{Z%WZy}ca`4egYBggzK1ssy^qPcqHlK9x3=CP0!V
zL>FUfbV+(SU1}?<R2hDAZjCy5DR}=A3kx}@s;X+3!^Kd5Nl|x_F?F>6Jz6|BzpJ=*
zN5yj@W*j;*qCxaNWiMt2n)<Bb=}QTHcdAW7RA?vwwG3BSTKpR62n57~)+f8g1VE@j
zg$Z=8915J7)<V+-%)al@#n=!tSjdGm6O*XmM>%k~(<NueOx6pQ1&$CpZok{qEaA96
zUb|0>5r9Ta5eIvv)!Bld#DKV~e^_L=&4K%QVps^W!bi-5;-3Uv<e8cuQ{e)fAJW7&
zuo8D~ft+E3d-eF#S_NTG;j(O0U?L6n!77GusunjPp1`Gj1+<W*Vq58oKrVLUd2%UR
z7R@tgy$_DeTs5S=7+$J9!Hht0v|MN4=_?WOQS)Sc>=LA=<#?2mhG>Sj*tOve&}TO9
zHkGn09%p215Qqw*h^L$^*RFSWb~46kDCmoTBPYIi-|tIMX#N1~qiOee=U<TFa{g$j
z1D#voApF~5tf-V?)@--(w6~Uh&*ePt_ykMBz#$N#R?gXSey&%-1ehmw_RAR6CDPo(
zwk&6<_R?=;aH6bK`m~u(5zN!96|sP&{}KAfhK7m27~B+p*Pjd>uXUmYbjM*&S-UmK
zKS!?2d84~FP7YM{&Nq%ocN?g{Lo9U3E;Q4z+Oh0iXh(>QYlcYZL6f%ivS$Z;t!F++
zZ&L~)+q-kq9D@STCDgYPei`Xp>(UZLfBIzfRI9rr%8CLwPlFEUKrS{Qqk!TJ_^|wd
zO)!4zV_7bt9Rv%5ds0jQVPiv-#5P%$H8msOp@b_vWk+R;zkfVBfQ=;PG%iuv=6%%9
zETLRyH-OhGug4z2RnDhJlKXsa_+8tll`m@{S25n~TL}HQFgT+pqZLcMw57L=6@{Z&
zmt?4`m#Aqf2SB8i>TQp|z>*rPP}%}7**d|0A<P!azrX`WAjWQZHP}99GY4)Z0b>RZ
zbTN}CCK>VIV8kcJ$Q%xaJbOvh)T(Y#qhZ+W)$huc*8{sWgg|r4rZMC6&d9@@1>Y2K
z{vcIx3Z#xjx3==oZG%Wdpl*W@DL)&9T1|*H#oI|LyZrgJ4{%@e)hZc66gOc?dXgj8
zl@tm$&OoxVet5agq4Vy<bF<DI#{Xh<nXXq2%kXPg^V=7$zYAMN!HYuQ9>^h%?J-lf
z@Pa+x)v{JaVB;Yequ%FmsZQ`{*UuxfU^O_`mJvP4Ck_1xq${iE7(h@5p1FSUNICzH
zk8dfA5os&Fcj#V}28SwuHo{p04|ZE<RM<+i;pG>Ltu~MaANuGbgA<<e0`%rD-+!QH
zX1=`lG#LweiPRRw4b3A4l2S`rIyr|6YGUM|6$=#K)wP3mc2kp^?Jm-SE6`?rWm#5q
zn#dcICWIG;jG?e~wrnuDV3Au-o0^tn)|B>DNzGx=aEq5mOGn53*H5}8@<6PJj@+L>
zEncZc4|rU_eI3d*Jl1CD|J7y*p^pS&GK#j9(tf(#0uTD_x4e8(_dg>n0%xZl!!(n@
z3?O!bHUhXgy!lpu=6rkgW!t9<oej}&voXq8d^ns$-Nb~nA_nDBdL?zTXLwyxxAF6B
zrN*vDtl+Z6Y%Vq8-$|}3h@POm%vaH9EK8G(6AUQi??Gh65uGJ(!S~q%si;z<@gS2M
zWXzoMF<=8x)S=TU#<86CXxPelmi$G<&u!;FACfN4&S1Eh`LD<)$)-f_igh*AUvySm
z#%2k=I663Uvg&dHeUj^|2mz55J55<D-EpV<D8g1>K)-ARAhTt&_KW%}jUVFwTsk^R
z6u7&%aB5#UQEayuzs3HgngR(gsloH88k>o=Z7g8S=p6D-t~qA2n^fx8pm@$8bS0_N
zzCw<Asn0cs+B^F24;A)YFZb)GEX|A+pvy=G$O=U&lz5N_P%IgM(|7Un%W($MFN2&t
zlEJzp9BhHf_G?b&ay{6xW-zIMzOo8Mn(!709bBCQY5+b3Hnw|w-Ek*5g?@*}xzXi|
zdWJ;8;WGF*F>%u*t~ztbHid0MzEYyp2b8E{ePKx&N%5liMWu~7@-(Nnn%|ryWWj8P
zaSnw$@5GHA)WH3(K)wr#m7<~|3*W%U!~2=xe}}gU(O@v*hqRqw+zU7epP$g55|Y-&
z*+l$J;qV=^8E>Zl`f5Kt4A>}HhAN(rmDbxvSrpS>1lK6DZ{S=!k%am%YW8@^f7eke
ztE3VQwz}+3*C90YTav@^#83vGu_>yY#LcKgVxv95pd1JwU=iMuH3(2mV)g$u7iyGd
zmhPrb@=5Atq=qT)n{)0QKCL)Ow~oJG))dsTF0>qnWf*o|tE=Z0X?(<#^BdlN0CN1x
z`}F1}kSPPm;QIK;p>b{5vnv*Ea`HS@$^6+;5mF)KyR-;cOjz|HNpupZ-8Cv)xdqP3
zs4m(omI0fqGQqBR*DZpEghlYssW^3n;gc9qmdVSOs;;U@WuIJ4e4)ptwtx|SD@{d5
zmGdi_6<p6)eBjh!R!^-jz!WW+iB}<c|I61O_!n+k&wSS$i6ow3M66x*6!sm+={M!R
z^+icjMqX5lSmbW~nPswszmV1q(!KyUY%)qqTNF05E#BA2rSsCH+wz-uFeHo)2RY%G
zqGJ<?g&Cq-QlN11f`||*8T|mjz5{A|scU6>NI)NZ?<vC*7b@zY6<FRO_r&t@a>Ez-
zN6PN+f0W&;VSEH>%Q$oxem^dMTn?)AIT1$!jYo%%Yo&2ao1@E==Zc5UT|LeMp%YVo
z8AWnK5`vg$tSo!mHfo6`M&oQe3BdkTGBJAc`iLfK===_PZ$<`@$AV)I+gjrdp57|u
z&&nexQQFUGZ{C0H2Q{^O)+Ygy*ydiwIS;;{@-&I(9{j8(@D6G3R7DhBu5O5>c%i&>
zcqrO>t<yJy>i{=NemHKb8a{wZMz9tlm6!sYIIe^&-Jm1LIN#VXe(ca@wZKVs=ar_|
zpACvtq6UaV;)vp|&F8CsT>BlD?V2MA_5oK5ToFb_`C1~iO-=K5&GxU}_?+yfy)0Ih
z#%Iy=c4Zzq3{UeoTO9vUK1Yw9ca$tO5kO6mSu8MhQZM#aG_F_KBWCyR3+%(T5`FT(
z=DFOvq!aytwBzGrfV$D1iAwH4?oZ&xsT5`a1Sz;Nu9!<u!My(SoU8ZzBoi*MRV&Al
zGMblsO0M&*zL74J2Vp<caDiV!Y%i27bhHhay!6S!5v$xg7rt#}gTfGn5lx9^p<rpl
zFx1bjnY&MT$ahN{10AzKqaWbrXL=)cEcief=E;^mM8uIH9~-Y#cF?B9WTdoR&^+_A
z0}K!HF32qgbve?1T_jW1fo?K5GI+>o<LNAGdpyuVETeL*Ilta1z$98>@5p^K-Bu>{
z_F04^_mK8Zx=M&OyY<Ab-yR0lXio@(+y#H^=FK8xP%+2#VH{NN<qX)$0Yh5fpS`bA
zQ=M#_#X&GvVmEd+XDvmPXgGK8_--siAKs4rMq!4c(}F*lUz4RInXuL_DzO|hP9)xM
z7zX!S`^Tv7!i`nNyq@!~<y<a`w*Q3=r^SZOGIMc#YycWLN5}ZExO}6~G&+$b&T7#o
z_9Y02kU96v2cDy;zn3w96$Q0-Q!k_O04f3`?@09Xc5h>3M7CjxVZcMG86`A5o*)1Z
zg0*05rd8&^*yY(LFG(&jnrdqu{Cv(2_M8g2Oo(K)68Hd&Gzt!~TjwN<9$4{)qkI4H
zoy2~R``xFv925uFcSiU$G89F)qDiCMAma}o-AxiX!kuxbjXChi=B)kak}&UN+5XE8
zaAtGIz~zA%6W?C5b$n7wv~D`sJa2h<9!D56iqAHnbuJl^e*`na0}^2q=3#uXWyWyb
z@|NMbG+8>ww@OCZWNc#V1#bg<Qc6aQP|?v%qT+Z;VbQ&TadLD3Jb8OW3SxnM2XL7K
zxBN#aSa=ME`T|CtEnP1EL?L9dr9+JYuQu{0C|BR|{_iHHPkxFSXCoPv29hsiXm}h$
zB%-7s*m{y{2tI2++`52&UPn8PMi((bbjgLeO6&)(Sq4>!0|`Vb4)|=r(_q`~aLNK~
zWYh@mbF#JTAhPbbR<YbLbaqT<8L_?rYP~0h#o}g2)6PEQrZB`)yLt}ex|nr4uNPJm
z?9e*MI-`(8jyC4ODG(ixB1eGe287r1*G4gIw8iGPyuTctSL=59`TG0+GjAgH>|M+z
z<X~#GBE*^zB#wi@qXq_@Hx6Z&KSfWADhYPqou)LROuuXq0<gK7X%YXK#1s%L)JXjk
z^0vPs?oY1tmFipNnXgQcWha9Tx%@a`uXKL+S8=+dx7%^*<o;s}b)0@KNuB3p*?Z7E
zo@^AKWibFLyNj<}9J6RlMUXGYV?%j~-nP`>&n1EBiC~TZ1U>%3i;Igx^+&@;$_-Ps
zebRYZV=Wn=|6$nNdHt|?=(AQcJw!T55=YZNBGPP>34J?n2Y$f%1cU7tJ~^C8HXl?D
ze*OBjw^vFV;aQ%R|5=L-gHS1DTYHC^2zQ<iU5>-K>W8T7ef)Ww;w0Y6iG#QIO9*6p
z^s=~QMZSJ}mp5ezQ_d(x;@)cMib;@Lv?0^w+%*7gc@ysDYFOLmqEZKk4fIa4mQ71*
z$vL?`oDF0A0}M2Q=)Q62IfR(~Bz_yQy>t}$?CihV7_`ngCTy9w-H(<fVC#!)N?Z8A
zgYxa$i0%XuH>8Uz!MJW?ZEgL<#Tw2)RrQipTVH=Q`&2;x-qd%7o;S!z;Bq=j74GW?
zYAR8k@i)Gx5F7zt_QYw^2k)F$MYu)cVyUWqQ8j3<;v>mw739z)Bx1DbcaUDs=T$oC
zE*QO1VK?{tkpfcSl2o))lEoOir|jq|e<`#ejxsEI6rHiyOh_ESrtVN%8Ag*-%(Tl}
z*}l+FRB<Atio%I$Uf*qZ*D+m~D>4(*)AdoOJdM;ePJ;yu*CWIU6Ak9}2<4hBfy5m4
z-!~n;rKZZATB6va{VH|${ND9d_VHBdeC6@Y>L1x7g~QWd8Zo>Zo=DKv-su^4*j?@P
zK5d=hj``SYl&tfQ!aK(!e%`FKH+6$R1SNt|C`Z5&>jxO!0rd6i%zqMZ#ayDX2{~J}
zg+p3?+!p^h)_6F+2AX@%oCSXSoZQ?JnnS~8hl}zFpSh2*$Ui%?Zw=r;R43?_5B^ow
zAT$eU$`_|ZC7hmc7I@uZwf~%fBMvT}y*MIyjNz3)nzj>gQ8opIfi~G+zb^W9N@Eye
z%w|?r78Fp2YA^etIRN#BYttR{7Hwt<FE^I2#8|#4Ari(X6@}m_$nqOei;(>?kCRU}
zsE0UmsB&#p%iY$sn&qrD2u#0_0SFoSf*FW}*rsi%wM0LbRT)mL%R4c(=vl5wJ6(Ko
z$p{Z3>3-LB4z>W;1Y{5DIYQtsf>`6`&YqqG>kpgzVwx?!?0LHKTN1&lLA+Z72_zi0
zHcvE~QkuZ2xwEr#x~j?P<E?or5aFk?^0_>cf-;)e98VaHfS7NRKtyNINYheTq2Y40
zcGGPw9)l@(ab-mS1fylFWbH5pQMW))NMeS$73f7maq}T^l-=)?WCg$|5Z>&!3Ce~U
zXab6atePht^{6e{%hrc>G1?S(bp3cs?0&f@7(cuY{w0}63Nx;VQc*YfwSEYDCIE6Q
za(Pw%Y;A3|@MpCr%Kg?4L}m9UD%}yC)C`KAxm8{o9@SXwCo#8lP|^uW@xdf=a^nNJ
zg5F&O@CJ_H<K^{-%4^8d?BIEp-X8fRj||S*HRv)m+8PmNJkw{u8;c49+NJ74UW<uI
z2_3isaxj+8%rupiMnScT6B|k7EM_~F1sz;aUY$AD%ic-<w5~1;<fP*H+Os>~Tp9TI
zT2_IMF)7ho_N$4cD7hZmfKr)$`ms!$r*2PQv%f}{#zBPe4Ar<qmFcrvaXvo)q)74Q
zY6?k2SUec7%KXo^$rFT(uTRe2J3p)N;1AR`_{4s^djz2gi{}+H=!&|$JPviZ<Y$a#
zW<&VOB8@11#6iTEdBh<z{vbWHv1`GWPDD(ceXOXCu7p?#gQjNoQobp8;C#R~|B3d-
zXppSnCk_O+<-Hot`S@8#*XdrEo%J#0;^G3mEH&Kz^Zu#w)wm;c!$L22;-+925KaX3
z82bADT{*aZ17ZX~RyE18KfjmZhiTc@IN{+f-R!v^x`W@>xsWTO#q%8n7te82nRR~O
z_5*hZo?%!^Q&URu{>@&2E#5r4#`g+phR@QnVZ|PU?B~XHH+O6Q{IIb~Segt)Z4;i0
zOlM6EQ6PNHTio0C!@TX|VX9*g>E}p|X;44nXlX4xAs&5!UR$v6?we!uj9dGBo$WFB
z8nf_UB4XsSZWioW9d@WJzqzh>ul^luK+zyPP9i>ur}(z$^dq^;7dS8kID3ujxB-IV
z_s`25k<o*OSmapEx0X$1=&KrYb~!T@pr)@nHWf+&5D0W$u>&v%h`^UFJ4VtlAng<o
z&^NK`+?QL?5-ka)rEI>>fI(mz<A=UI5*^^Zmw2y1Q>`?8++rYNcYEgmbO$$7BTE94
z(sic7lJKD+=ep?F#werHe^RjH0$XLfpuWBq0ga(6PPl(IAIJb_F-{vkO%yV^1yQh&
z;d5Bi)y~CrHUGUfZ&-3GzGNc~`~2-Igx&CpgS=VqvmG;P<zd@-Rwfg+jk&onp8o!4
ztsBdy9?$h|CBS6_q8axb$khwS<SMXbhw->CSr}^5RbMr4(y$5Bb(@&mh_JsaxU$C_
z^@!%5v}gc{k@GqWuJ5WeK&R2<?D4F4(EZ<qaZZ4a3@k<wfXxKcrmXADqm0by%t~f}
z@e0UC{gv7@VN*bV2)?1-4KkD?jzyR3oHL$P78F^1P?H2C9kGsfJ)uoYT-kW;T8nP&
ze+8e<>eslx`f^A6FpRj(j8VEb_P0IT9wdVQAhAeR5&HXU#_x|Ujij<kfw+i<E!CSJ
zW}4P0X?LHe*;aVQnK}~XKcOEHb{W0nF&kXHe0STKa$K1)-i<8KzR@!6N_?DZ_WD{1
zOl?|inTZW!l}!ISo%uQu83XdjalhPASa3BUQA8bM=o>w_-X3bc{s}DI=SP7DTW=4T
zE<y$aaU>4<pa8s(_|n>sasXtD2&+qOBrB2tVg5i-#fNmM!m0lL{>M>FM2A5tczb!L
zNcBnh%K!0#UYR)}eaFY|i)J^M5Jp1IIZ=fpDH7Ep+E?ts{r^wGbj(N4B6PN8{y>y{
zbF%q;xr9`l+|?YSNHst9Tsxi;0@JL$W)sMxZvOEg!DV?Sp;N#JSH2DH1=ox0caER%
zUBHLH0v3&Wqtt7jKoEsi0B-n>iW_!(D@%`Xkg(|&<M|S{FP-1-Kk)W~Z0pAPLP<Nu
zZsr0w+l>Ux0+Vl?mDu=j3}mUgmG(82)zx4ANsNw_l#~=s?QK|27zP4Ue-p0=Y#Ai2
z8(7O4D<~+8yB6Y|fm0$kxP0u(=g(@}n!dbYmOzvVvZ`Y?fqBl!iESeEJF_h9=Whyg
zSMS&JvAX*ThTp?aU2CjfmI5UjuEaICW6l-ZlnKk=0zb!<$z^oJT*nx#gYT=j8%x7Y
z)I3ok{a$XT<#&g+i$=q^#?n*~T)neJQ=GFHAwFz~)vgy6am*CwVBl#D(%bH8MxC;A
zj;@3m(ofO;q}7KS1V;x7&WKcUkONT((8l~YE}*^OM}a0U{RVq|wNt<!BkVxg_{gz<
z^Cc-sNpsVnVwmSAb7;L?Fo`zUL+Zt!28&66zI%?4STXlqj<C`R&|MU2=B#cdZY=*i
z!v<ww=X-LHn*}C!U3W7^Y{>ko^>S=(*!9$ZK5&)4dlOQS1dkhK-?ECYMBwx(9`SoX
zox|@2mtpt@%6`5q%v4)DyB*JmEteBMee>*T3UUuqgt3z<&D6zruR;DqGtBegogKLq
zSUwFo2zNEhwm9kg>S~J9jf;oTz2K%<U3OVoybN*4wTSi;e<rI85DJcQgzyOp3t&bd
zfdeVe;W6gg^=<)C{W$pTosu;RcX{MzAaJn|^tIX82kMaw4YxM`I*Wpo_aF9MRVz1-
zr@lX4V?a$=*)1V>X!N16gPY~F{V~c)V-B`aj+IgY$kEVJ^J^fN6R7$W=CL^totT*D
zeUl1~RLl+^^OfTxP)`BDT8F{|>!k~?*;e|SRyJ)6e2<^wY_FEm){ZKAPzQO6nFmWK
zX-7h+U%-DPhNy4@U*L9%dvBZVqjQpPT6lP!{PuFdj4mk3BJ$I278|IwY|5S}Iy&b+
zjU`G@iAZ0nOB$6P-|69)RY-656~O1INfGMSP!8dK0nn1f;26l8;RgAuY|NF7PndGr
zW09UxTy$qXR~5%44$SyG4^knBS$~VbfReG_u_L3B&?FcJK)jg3kOACWqoy9bM}L^H
z2upxiN*s3D*)Bfs6W%_ebON*HAAiU7f{i@DNl_qXGS+aJ+s<WI!v*}0;5S~qB8_Gp
zz=sc%B}-w@g?6{G>$l~(F=gmL;B`bn3&NQXx9LS1)jP2!sLA~eFA%Eb8c7_PC>NPW
zXd1zxqpNYUXw?RjL2*=CJ$nRBt#fFPp0c2xyHg681Yk`5IV?VC$r+Gf8y;--Vrjub
zin7oD;nB+cil;N<@v~O&-|J|Ar3Qx>70_MHI-fvpBG(%bW*IQ$7pK=$eg-szSOp?;
z#>Z`T?SEgce3GRzk(W6bN&AyKrDmN^pk1)3Q<MKaDkU%+2|k$3$4qvYjW(+0JUPJJ
z{LK}>NxAuOk2%SL-?ta>v~!Rn<uGCcMu#(M+0c8hNvE&$S@I+xr2?e_t%Wx!qw1zv
z+%K-w1F@g|eEM(o;%~F(qX`hu#9zF4F9-DWb(Bm?IW!Ouq_1de=kX*&0zKG#7p)up
zE^#x)ce?T{yZT)9f)|tFVTf7?_p+lw$Uo%{aXzZ;km-sdAXg?^qMQ_L!{s}>H{9jq
z>VtfmA3uP@#Rwnpl>Hc2UY+i1RT9c%#_L>JO5)+7^8tMU-FQ7s2n%uLS%d)G6GcmE
zhAuwo0~zIdz$DBsMj(VYx39%jeQ2H+{27nIrY9vH9TfpJDy6N=GHq4%4p?eQKdr(U
z@{?dG4)985w#D6`Zfsv*u)cYA_#7OPpy*Q_beMhobj1G;HVGh#kQKQ^f0Q<aAtKZj
zrJAgYt{_5k_k6Q8r+26O=rvy#3urSyn6eHcymB(V{}Z;S%dmGmMO393Rv&}s4j_sY
z6AYvTY{UF=n*wt8pW&iy@2`WFYrC)(TtVzbA*uC<mBw2Y0`@wSY{{jR`POHvcZUZ5
z{?z^Ht~d~|ZnJG&P}4^&8QuS`!n2qBnwnOIEdYjo;^GDpinrUUS&I)k-GLC4^FMJ$
zSq9bWvTSe0^XKyDW0u2gHuRL7i7Lod(E9IyUl|4<1~GjQql`DdS0>(yW1WQp3Kk^~
z5O3JR%m0St5g=NCsl>^TBZ^A?mBnYU<>Nw}3P>USQpmWyptgT5KD+Ni^s18$<1LIw
z1hyp#Cp?$c)$#ZN6=<XI`rX3|HIFVT^xo~N`3)+xUN`NOVG6Nf^o+1Y7UZWLI3eWW
z$3+93-q)aG`|-q>H=FGpt*^d^xTd@$p3#)Bl#MzO$hxko`Ws0l^0)xHum6Wmey?-C
zZCG*{JmIy?DW}{#klSXc)Roon>hLkS-Fc<bHUAxiU*~3Lk4Mn4<mDrO*6?@_r@TWm
z-^s?5qm2IqRRs3SlV`6r!`1bk`FI4+*RI;@W#Y!yF3S&F)<Nyr0?o&MT!W`0BN4E#
z-UmfiUb-Y2%y!%WCmn)e$fR{xy0S}_9JF4ZD%Iy4$*uB=nJC8v3$!}KdpuOs?KauJ
zv$KiG`+#!|lz@1G5Geft<vVQZ#O)7<h|FPwEV*TUj*wQ#h6LZTu5A-&5ZhDXNeKp3
zy1$``RV=7JtjCVqpC&Y)av8~yf2R_EmLhFMLlyZIP8_m=!?tqo>;!YJWQ4X-6OptN
z^UNED$C7(HE;d*eKXa&zR1BV>{1A9>0S(jJTTdfA6^~>Aa=k5DjM|V|L@94Z+z$Zr
zpR9J?-HjnhDDOpa$9E~6K95r3hRSIpxMRBV&bl7YoSM-8ZFO}pe&!$b-;>;4QY!A=
zBl$>p2;pVZsD3U=#c?A@d+VgUKXUIK6MDGW1nC0IIp%gML-MrymZ@65BFvslz?-KM
zektQM?RRnp185qPKa)rZr5tZu=rIh3-*=uEfLfFIdcwG_^l5+2u50@Wpp#>9*8k-&
zFfxLF-TL@ByEQP#Ex4wpqzLw_-hsrp48Kc{``Spka$2@mMur$VLFVRUG~~72{F7K%
zSflkm@q%LE^Q=%n25kY~c_(dz(i4bleuqLT2*WNqo16^ci|x8OviPSDQ1|s;4u#2y
z3B1S<R!LcH&+@LkeB)Eaxq*NA|Kwy_8yXPK?$2d7&fdS%dT%H2to;AA0O&djsP9X}
z6DmgE(@_Hg>zoP+l5A`Ee&Op6CUp4X96g{`AA03ju+HmB|AL(#tmrKw!oJi8`m2nL
zk1N<5?^zz?k$%?O&!3hUCP+N@b^;a3eAPRDQ{U+Hz(5R&4x{rBj0`nlED)NF<nsu}
zc1!*T#}G~A6R48Sfxk!9a_7y)-2))aLST+W-tqS1qfd`R8|IGPPS?8rg-6);{&e6V
z6i~(rJx)}?g90#B$R+5!+t%pYkhYM_qKL|ORGOS-Iy>9iyzZ`!0hi=`milVuqkIZd
zkOZ4r$d;bQ_o_zC!8CvKFkn0RqKLahnm=U;Fb&&f!{w_S4CJZ#SpwG)eaj5OQB;d!
z2H&TYoC5s4-?(;-l7?HX-y538kCG1hU#qtSw36Y_;<1gm;-%GAwV_!I^g;6S5W}z|
z>7beOw9PRm|K;q>HWSZQ*Qn1}Vbe=K(>=HHCsgM3`W8Hn@=?Iy0aHH!%2@SN*_(
z{y3rfP!EinscKXyKi~<(aMmOj&{rL%v~Lw<xPx)ws!>%YJMRl4fZm_Rl%`az3TH
zzhO^}Gc*6<RQNYOk+2$W#qI@m2=}~BYz&1%pzh+b&eIQuVDVxnJuZDo4KZ<qJAdlo
zqSxr0KXPc+f<nKq?ZG-o4d6R_d4bZ8`FI=xnmF(x2`Xx-!4SdJfXs38AP*(n5Y~a~
zzdeR$GE)9vlxfyMVdQ$H$|=<SL0bobcc;Z>*{?1mbJnCQunNQ82Go+kmZU!7i!0G1
zp+vn!UU2#-Sv&~7Wv)}b4pNdGH*a{nM|OxifMcqvvG-oSJ}Yc$k$|4o2i2TkL?-a*
zyEIi9><NbE(R$lP9p`8LX}=7Yq@&?G*c^Iz&aay<`E0C58+yiwt-e*CYxG&aIbJ(n
z20_cb*(Wa)+0*+TI{H+!>XaJHr|T3MAX{78`z6vb(y#cJz|`vtp6sBmWo;BZntPfp
z#z!!}hm>Pv)iEnNIvT9d2>L|^UFXJ1@2Vhir#=`61mTm$hPY9+qU(NN{-C{T2ZpTs
zC;LSJIgoWD7?w98tC21R?!>~Wo8PBkWdQKujsZ$0EeQk-8z%c7H`CM8@g0UWThk(6
z4!#@WQA;0lY02J7xKlhH{64Lq+%GQPDKv@#?ROAteS1WQR`E9>JYE?Wo>DfUYZU|w
z#A<$AMWHA!{^lR*3nvWp-O3Dx`n>&f3sp8swO{3noram3#eZCOkfDMkN>5MQFs-@f
zs>WoapB1TxV5|~|CX5+0fjs!VmCO>3Iov~FpYtexi-vdx1TvVJs~)~&usVoBKm0<B
zIGdI{!}M#KLtWO4!fK?+;=ay(b+<>-@$#zxpBole#4&Z}@|)KmsNs;_o{a-p*8=c7
z7zkvC6b|L8p{T-d=_i<?X||pO{y6+C*obgH(=#S?e<lWA1`GTpjUEy*oF948mqy0N
zXh7pb%Y+HR&Iys5C^vR?%wdStd_K>OKSD<Mp}@s(N}7M&e=azmw(sHv64^a+ATl(#
z`3;KB#9{!2!Kq?@_a20PUC(2^qTwuuj>(>}K&**IWg!-UJ(nH++W?h6)&&&*s|!#q
zt18Oxd<1hpnFM~-q9GqCT27!N$O^eOyjP^#UTJsl!nC+hFYi&?&b%*Xu-$(lX*J&g
zv<KjoZBDMzkLkWMR+cr>9vF++3^uwE>@qVK<mOJB+>PB4qW(N2G4LTIUP$5}Orvr-
z^cinek$KMUC7bbrHA9gjMrJ;@O$xE5r&%5aXG4>MxP}&^8XE8Sq-VPY7AcyS3N$t$
zR!Q$C{}508=C=ovme(E!87S5}(nStscDSj9<m&CQM_75+cLHOXm0*?P1i1TfCGJ%5
z&+8@1z0w(#;E$)D3Pr5^{X3aeawem#qXPmSJ#$jcw3oE1f9mvFnAd3$k&p<6JI|b?
zOTG+{d9JplID?Nz2Q34168(=A^#dq<Xn&g;vC~$LQ?p2;^voU65qvKax#s<qw&hu!
zRPF@xyELq9oO_X!ba7cp3Fx(1ABz9M6)C#W3ovm-NdG>Y)3ONTB^6B8SVUx+$*aun
zMR{@|o@Wj-UgY(!r4%!Q!Mb@JRBXf^*Xj_B@9pF-P0-E`7tJ9=#1CL_yn4plL@FL0
zo-*69=b~YtF9|;GLh4e=U<?5%lV3-i#WOI37cYgn5cYb%yhe1;%j`|fywp=Bd8@ea
zK=!xz_~<E3R5UinqT@Yg6bTF(Ml<Fb0l#=~b+l@yc`;i70lMaUtw*h0k#ja1z7{tf
z636r81+)JS+BT4eIhY&oY29y^!#;d)(D*brep6P6A^0j;=$_YK*~c6V56vA&KfzeU
zGUX_y^7G_lQ;Ns>*bA5+t`~q$E}s7rfVrXkL?kdO3UC;o<$_K?=j$}>?R6c?08lk-
z9354T7();kvaF%u=H|BAVqKWTD<BYEFoa*&SdB*jv>%$9n*V-rhCRZQHIe`N8-B0m
zzYm+%YcYW8<MQSSj6y89L7agtokeWsbEa9lke*0nd1AV-KsX80;Aj`!I+))w2$DeP
zigLzC-w!dGyXm<DS_810grToIb9URR8ysZND35J2zBLPKPhq8Yjr8r%Mt}(S2ahXZ
zlQLqAA(B4@NdrEK#rwdRymlVOpDqu$FN+C}0!jIK*+@v<Py{3M)x`4q!)iV>E&0mE
z(5Ma30xB8`L`2C7+n)g@QC7TFNMi^qXHi`~b+xuK%nUZKb%n8+u{3yJryg_?a&d*6
zZ!g|1u$ZnV*KMFtgJcY~vtlGlag5a^iq2<)28jVRt+L9vo;mOK>vws2O?c&?xFr)B
zDswrLOl$$b&55Fl`!Lc$*q|0@{QMb=>3~VZ&u4@Y4T4Rt18&i0T_X_%V9xG?qa)YU
z6N+a##)hz49}kY~w_Sg)ek^3r)H8sgtV{b3iw@yoP$|x9G0>g^?HG5kHPj`k9=G+1
zZu{;!SOsPfUyOx``FUQkB(^k;z|@p>_h@KIaRrGIp*wAouK*>(+iJ~gVB{J{LS5h=
zfRIo1wkY(v??rRHcpaQ;Jaj<RD2SUnEDkP8%6=>LHmm7G!rE5vvLUp2F%m^!uUV(+
z&~4E_tDb>W(C5bGf%a<0;tG)y5*|GE`Z8J9iQ?bd(t?kUY=7T1mPHkAl=vNy5k5|d
z*`^=ewn#=|`ty4!zG>buUBdpa*0dohdY$NFvRm>RsTuL<t?w8@%9jWfbvw^ySPv7b
zki<8cy(wR`ztm1q*J}@>4c-&+w=1#d=dvP(Zkz-b=fBg7Cahf{1VBpE({nz_xDs&C
z5sDLUK|}Bod(#tP2ttMkRj^84M1nM-f1s}nkp-7Nz0gE@-@fv2^}`;n8{eerZ_5+n
zvC5=2TThQ%J4|!Gv-O_-{Y9#2_4f=07{tO=%l%tao@Attb83HV7gsg{3q#4B39=1a
zpk#s@5e<`Tg6R^+pFsbchr3f7jK{v7nKIf9SO_ed(R$!?lA6i=Y~a*w#bdVh6}RMq
zr4SMQgDC_BtI=3oY0*x}>$ItMdn1;Eqw}A~`893=!fn<t{$zk5WVtQCkjHl*M+YK{
zYBH7G05V}dcjw<qu`@`U5ycJLv+An&6XTki`5Fv~|JM+EZUTm!fujgSUE>I3eUs=@
z6*fl{ju|1Kt<C8Vqi6p6GV*M0%i;YfckFXqyh;&-p*|`t-tQ8jIHLtadJ71UXuT!w
za||cVImyHyCWP<-P=55jh!BI0Aaaf%Mk1J=OfHOCyT_cs^cipPW69`fszTR_-L;1g
zZu!paOSlJ>T{f-}8hEv@J91ld5UQK-;hVqt?#eY>=WQ$EoTTxo3js`JLutc{1~)md
z7h8BVy{#%smM7deLpi;+g1Kve>s;7(5e<udnaV;E3oNqRUQ85CKORG^-QN%>l+4gZ
z$kS&PME=?R&1t%iN8AsZiom4_PAn#WeY$?bQCxBCgg>_*UX&{*B}Vq%id-9lxs#MR
zI*)L@q!{m!JtZ9j<apt}qFKead?!3XGHEy5=g#g=k&)1B0*B!PBvh63>nX&NMpq_Q
z+h>B3R4#8jww!jNs#xdmT18vVN|;)X>+ei|(W3YAxu5u4T;9XVT{tLo81VFox?kt^
z0JLw{{14dM{Wv9ZsAMp)u##24YiN3qoVP<k@1nn?D&PVKg9i3#yCsutuLt1#z$BkG
zjw0G5+9ZY>^&YL-GuOS^-N4+X**E!U`c}!<-y8kbD*tdfOugKT_Tzyu=pEixucacK
z-m|2Q2f$DR;4l*Kh?@^7le*QvYO8CKq9a>aj3#=_P9i5dc(mFWqBfYXVV-<G^=+a<
z?urF-{HU}U@XWNIlJig6a1j3Icc+a2UgD7ghT@SXMo)R6f32^$1b4*i7Y_f14;oy`
zl<7p%DxMeAI?SotQ7eQ<^U!4SHYI7GPC3csEp%VLV22ie{J0CsmR0{C16)zs)>YW?
z=>n7B&;ukN$fy8(N34l4T=2Yg?;j$X$o>rguTRsid9vTmc)sOoDPMgJlTI??4F@!7
zQ9$nGZf_x7J{e<8xx2Z!G7e56FF*h1dBARfjnGE@h&Chh{<o5$D)cfquPZU1Lo6(S
z3KOGY!KjBPnEF6nQ8sG{2`3^)QaILrJgv5-k@-KSzA~zc_iK9&ok}-Iha5UYKuQ{=
zTS^*1x~028x>HiRq`N}|q$LCa5s;FSdT;#wpS9jud<M>$nSJkl?JE!<QU;Z$b(J3b
z%kyayUq3`DfGnrSHM`G2QrlLB9S~kQ*6a0CUUdMN#B1DT4Hb9LVdlv8*>n1+ne;!I
z<_wP|vEDv^Wik)AJ<^{18RH-i62OJ4KiiDVjpO&&nb%oe?E;JF87k<+<!PR6RPFA^
z6A*L_#n?9#v;QnFXz8$O`hjp%vAHxr@=SPFO-QwF^rg$UN<ft*@tidulP~>M3vBB^
zGjF~sJW6#X7`7ZNEv1Q6Hu-%e+6Ztgw-+m$`y9NSo$IyX@$^q)pHgE()Ia{J@{HE%
zl=)YfsY|2PQ|iH;t%e%Fp@#bMA=8uAuLtK<`{=XR4rI|GiSZE#^T!i)-*moY+Vng<
z67K3TsSnBz!w!U<Et|XF8aLKE19$A(t265;(8{EZo6jzu+>|c)3v2q(cQX)-zG9Q)
z9T-z|f>nkfz<<c0LyBlJSH<$Boj3b-b|24*tuP>?m1}lgbU%#)F)5v7tVUU}WKoXS
zoVt`_3oP(A)f6&+<*u*){HdRL0}@+18w<garRV!!C-(Y>#{+2ATZi1js@0$>s-c$(
zk6Sw>uyLnpmY5mKk^$2gPj^MTxfysO*^YySTEfrQgfu9BJQ1skYCW^kPJ}yc5vVFZ
zRNXD09?KbRfyfE~kC!DaDTktFAz(abB;?}eeX)eFoyzjqPbIf{R(i9(-SPljdwbU{
zEet`H^RpP01Fl6sw`sik>NRcos>LPUgx=jdmBVuoB+S*Y8K@QZEvNE>M<yg00Z44g
zi`M~sqV?t)W@+;ir(Bj(jQtEdGXZV=yFiRP<4El{r5pr5);8>BLZoicqF3$Lj@t0w
zXApRCPw>eEn@r*&!M4;F*KKSo9#Etv`=E&D<tc=Vwf^`J!ZTV!{atL*;Vn)*pvK?s
zsWnS$TLWs64L@r{ei<RyssK2~nk4P=7Qk2i#t!`9xG!B!@rlAPAZ_#^VS>IfB>Le=
zy$>gC`@CI&mtMD5NNrqOpwX34Vn+-542#a8c$0`Ur5s4{r+82&o#}_R67Pn9v_gr#
zl{Yk7$UQZ-eFA(wI^Hf?o~{f1`k`U+c_zoVncLEkjhZ&Y$W{^qO<6z_pUjk)IL#na
zY3h&fEwGrWo4v2DbD10$9BQE2<^*shwfI~r?OJiJX)ER1cklk{utUU7_h);BFsU{w
z61tzuLxRPg6>S$729WMMroVU4+T2O|5FVsH9aZk_<l{bGY*M4mTv%@LLOUMMQZD>k
z0Q%eM09<N$_3$v5ST*&To@>J^FfeCc0MhAA13i(1U+>%BE02G_+!w${hu-o3O!gjD
z^q1<wmi)G~^bUkSxbv%5=n+g!ig&><t)C@$)DQ;)nt*HTvz!Sv`tMhEHU(@!kl);F
zEJ(osHyNxJJ?kqQDkU0$g0I14D%s4#+4;{Oc(%1&Vt$fHE)+tN{#MAW;5qt+-e;TK
z5@e*oMLXkfMfp-v)Yu7o{DD55cjF*)kPm<DPQW7@JZ`Lo*;#A`G2TcW?a5%#^MpUh
zmjyTtC^06$NApieczMvBw?4>25^P@@sIjWWSzu!MALmQ*39_4X`);YhVmBsRPvEEA
zGUsEpaMv1a2HjFe10#jY#*C$a8s@i(19|nqRUJR2cC`EYJ=&_y66k@W$+E2*aANs2
zt}SP+ut{E}&xnntwfSk=140{1c}hGxUZDojF;!+=8lj^F9mLb`OGRRyPAiGtTy@@E
zHQb<-l$MtI{|7oUYb=vvBS5-%HG#oU2*b0VJDb5_s`5p~1mRXOR+bsN=B;nXimnWt
z0zX=C%>DJNqWVy^wu|$4`j$xnjU$3~l-s&uLjWWI(r!NnjGb_*U#{qodIU?XNsaxy
z&UA(e8Ml3a!>M(h<x<P8_JqKq>z{;S5WnlowuU>|G9cJO>E=!Nc<f`bjgmWhe~reI
z{`)in8-9R7x_TU_T$?Pgl{uh5V$$v>aaavY`#@D<`w4$5d;?qkb}`17hESCit<r$s
zBb&AGvDys)Epd?MR#ip7tdRK`^N<jY8uChN9Cy#_p%j&CNKM3!46-B%j#C_I?@RCM
z+ofI5vGoS=jxPR3j|Wok_4^`ZHC#}X7(`UQAo>~NjM)Idt9SEj7|@D=BlgmUy$dga
zR_!q(YEx;~6D&;}-Ny?Ud1OiK=4-1=hS6LJ!$|(Xu8E4{So<k~y5af<edb=c;;@n&
zYOuVEoWX4Cb;PIK1`S=FfLCH%Ukfm^d0ToxWxF~*Fk~$Lb9FQQdk4-|uKvN-;S;y^
zMo|TW!|B79pgOQWF|V$cN2h~z4Smbs8f!?1W6OoU<KWTejxAv@IZ$*uG}IJ<WAv}`
ze@!YK)^kaMk@w9GM7P4xj_ir*eX`VE53nW(x7go3X!UcY4e2<X7&{ss{tJLjU#ATK
zqt0UHk?w|N<&5r42~y7N4zY8~v#jDe|GAQl2UH;X(b`choSM}Gup;p88<u;N0&ox?
zAA<@3V50_R-INs3<=<tcCK|#t<VMx#pS>S=QQEFoU^?_5L2EU0bAe{<WJX4U5tQb&
z92r`^avG0`UyfY&!JFU;Mw}%U#(McJ-EM#ws7DSi`O<rkbR!gA!4Qcu9I<?6F#izP
zD8r0Ew)*k7VbMb$$-!5TBS#BUWQX#0h0Z%l`TNI!Dh#Y-MRK%msAq8YsL_BB2&A34
z%zo044MK3s-qO6LeK>`nD~*{-B9rSd1ffA<NRleGRVoTBRr~$dfHLdAmG+|gMG^|i
zi+Z$RSR=|8!s|U=?yX|5p$5V)j+)1;LGud>4w(f<D)0&u9c_N<sBt7>q{Y_~8zgZI
zNSG+0lV<!{TDAGif={1@Z#3!7?wxu9=*Vu2_GNrfnmz{35J{kRuv|xw{6te}Kb{{>
z9A7)H8cdsWk*K8}txw)awuQ4~6FyA*I=*P<)2h#_;9_7bV*80)rkIRYr@q9?gM`Rs
zN0PQ4fX~0ajR2KmeLZh`SUq_`a^C}4?5IqIMnCmsO6_HWFv-G{C?LfBcN9BimENP<
z<Due`fFB1xpujpW76`WzDO8c*;zB7}sITzrHEVbMO>wn{j|cq<F&=lIu&!8LR*MJ&
zUVI+eyO_@!ZhI7y)X?JcY#SqOmEd$6S%s~S+J^yv)d>IvK<`Kz@C<pclEC~!|CUiM
z9<<SVPZkOqZo%x!l`(!6S)9VLLbd`b*M0bGYr(DW6Aq_}v_$sWawC*sM|dc!r?*rU
zdh)1e^m}yKfWW9o&Nr<up^~6>t}Q;9=bx6A0ijaw`X{^91}Xaso#cSh;0izT*DHWS
zl$0sm2gF84?t520g)Kl;+6J^13JDd7#{iSNf)Y?g6$>|B1!5t;7f*CM2V(`$CL7nd
z1BntKDh=hZ!c}9!gX|F1=U*nf+fM(<0LD=IujZWjTu0SMwzWL*VEe2pL7ij>6Jj$&
zE6+-I4Wog1?XZoAimmZCb%owN>L+G9n1}<=dbfZbFXNaOSmujf8Tmd0!WR}~sGuOY
z@hPUY+910gvtE6V<}{sG#VeLeUA5+x$;z*_TwBFCJ|H$c^5odjy4T*>)6)~EM*!+O
zr^#D}EP`-UhIvDLK#Pxnz)j7A$jxQHne(K)zHumExLTY)Y%xh^R8YRy>O%rJt#iP*
zcyQ{e@jQAK^s@cEXzfo)U_(R=&ix~<S74Q<)%g+k2sG(d=>R6a@WLoWEa~PZk${C!
zQ?&eLLXQs8ddhK+P|hX)cQ9}Qv<A3!uzbK(!iyjzcv|$*mY9~jh3V5*+odxEG|aJQ
zfBfOp>hF&|vhRv`fju5r#?LNZdUfOoBL|gv*T{HV?`3Va0&(BQEFj8&UlnUEnpDvf
zBr00=CNehv(LuK%IQ;H`{dKB4>alBZG<8~~i)cLDT7kPcL1*<<k*YCS$9KsfyZr8y
zrRNjSTkY>X8@jFWlQOR*tl4saILRYlkGj%FX4Z?T<jZq1%4K~Xot(BjtQ~VnQY^*~
z$qNg5f;nm~4hw!A7Dek~y0^0LbFw(NasZ5^I#fsQEzhbZY9=iK@aQ(bGiF{lr3;Dq
z+153;w2*~-2cE|Oi?MeQ`7vF}lioWfh=L=$!}gJny&1DzCLt%x($4O{(^W}bMk?sA
zw&C0YC(a)|Ee&R<b<l;<<@3jC#ZXX61^iOE@7ZOV<&@SH$hBg%KU{n#-$%^THY<fL
zu&)CkzCnM%gYMt<nD=Gc0?D+l!+4bQV@_;b5(;ZVKN=|a1$9eNQeLs}1Tcqrz4gfV
z+Ci9Va9guPSvwXcZaKa~|1#QxG02^5`a?@SNf{rkq_S55u8l%OpN8W{YE!sE3a^ur
zX6z+W779YftO%S>B;vI~ted=kbayfM`}gm~#q<q<Ro}ZC@LA>Ttx_dc?XXb-0Rnsd
zS4bS~2!v$<NbXuP8_rIkV9kqIV~>MNIoSNSz0c@qCLFZ;U-e%7*Y9`3i7+9~5`{eZ
zkMeMIBm|vmKd;}}yvLfojm8$g145%xCY~Rp2?H>o<L>qf<TxGj!Xxq{@Xv*-JZrt!
zW`91+Z}0(V*y_Zs;qMROy0Wa#CO!%lrfIv>4i=z>odZa+YC>)K_SPr8DE2hgBI~&V
zhp6i2j~dZOV^1RT-LEf>Zm!Nn|N1QLH*N?B&?x;?v&hf2Pg)8%L)c<SBpR=|l6Z|P
z_S5OhNs58sk0i+f>4Kx(RWjO@78gutir1Ul0}Tl)Dyqx=)73Z#$oM$Za{V22+8}zM
z-}rTuxa7nM;Hd(WGJ_?+3%t+8ef3J7#XMP6v$F{RLJKzhQ4=!mKHsy=GtIdxoRJXq
zE-b8F6Kbr3XLOZ{r<E3?4qHpx2tkANQ_=%nt5S}h9?AHD6#5VCmgD3Zq*(^mpbN?0
zQM(|WY~x5E#>4~*7qEbyj2r--(R-s0%fUyuyokEg(3hxUk7;akN*#p6!k^ECVm;e;
zh-m=a+WY<R;zB?!-sTOiY&>0IwP_Gj+yWW&lA44PF$NhkstW~e!8+o8T`oDJgOgL6
z!9jyr@@r?nA<>Tfgnk5|8lWSdQ4Sx0t2t7M$;hMUl3?|W?#7v+Lr7ES%VT~?iv+rU
zUTJu-UCH8@&e#R7O=x6>p7REXlNTE6X9od%7%W|B0k;ZV`~w71-vvIm(y5dQUW1}*
z%IyJetqt#>AA>-^&$8(L+SjGXQ!cjopcDPSRusofhl+{{RHwS1&NQ@Um`IQ*0)nZr
zWG<F!<X)}CaB|_V7KO@P<A}ActCZlv#2Gr>f8eb3v-=$PjmA7GfVNRl0SC$5y~G$7
zUE0?&E|i1d%n2Ln8<+;Dr5wNq!&-0YfOGKyv64*137|H2Tgp__ZP$s#Fq|C7<&V_b
z)MzJ~g@gD8H^HorqeNj%4GrKf0DR?G6R-K_PEzIX(E0ig<c%)RS4E0V#A`QPK0b`Y
zdiws;(!#q8s$|s_AjuZY;wOtPOIvkWHm?KYt>es2yP=A(nbC7Hm=t5(9$1)MuHK$~
zdLm+PxWAD#u?_Y|MlG=~NDFQJ<B-tU<m+=^h%<a%PD?=^mp%b(I1qK91nUF<v&GxL
ze}ol=q^u#n>Cty(yNS@(czGw0x|oXNeUdl@-Zy;es$nBR*B04b7T@>wYy>Do!l@7-
zIz+@6d$-29-BSZ=GebC$U-cK;8GHK%)ABU#4Ode+qsgN#FWBcd=0M*EaL|p{raDV~
z{$ru>ShW25oh%9PPYku3UFv2tT)NcK2x1+XZD<e(A>8Q;%MZSe3|2t;P+lr$rb8q(
zIkVK~vMgP|wJv2#+;Om5#E!R_`_NBpwxx8{UJrvi`^hVD?%Bnx-7!=o%=C{7_Gt4X
zU3{rXI1Q=({yN;;X;Dl}T<abnJ55g-SE9`~J9h2r|F{4o5&z68v$t;!dml#X<<)3y
z5A#&}OElW}e$;Wn`Tr|X2Z;&r|2~`e{t)X$Otoq1JRsWBm@nYPS=?lDW6r{K7-sO_
zb9kvr@QSXz-i<Fiysc66PumcP$p=Z0z)FsOxW?nV-$$|NqaMN-=&4!)JG|dPFUeO&
z*L`NigVJbAcmn&)W}CPo$y5YJg$rNk&drmL4I+YqAX-pqEB0|gUs2t@z-RE-1JC@z
zEr0<5v2V)xQa&Xi50cGNrBZhk(}Nboc3jm09H}+;>{ACtZnxi!oja$V2imt{eV~DH
z`ydUL+It5FqFPEt-BNopQCN`e4p6|zz;6BiMKIXv|6T8o?2QaWiVvuZibrrX-`!PK
z(-|svJW9@o{6=P9HKZFp@8JY3=%=)O9a@QW^E5M>FbNf;xX>wt$cm!)9pM`J8dDV1
zQ&mf^aNqU@Rgdh72Dx~3$9i4%W|80VqMrd{`ax*y_QMg)*WUUKx{-Rq2Et94t7tTp
zXJ(0J=weu5*C<ZP!)RSWem}Z4k;ZpNyhKESQ%AJ)iBoV)4e~G?VlA|1TM}j`#YVxK
zhah?LQ5zh1z8HjZay$Z1!7N3lQEs(rlU3yfY1Xb0=j=g;>qWsiuzgK7>kS+t^#2p*
z9|5O9-y^h5Kx5&nE3Du|^VH!GTFQ~omS7o0fWs1`WnMq8p^ZuJf?@{DBR-JE`Lj(Q
zn)Z#|H<|~x1z+}Ef!F(qhj6AUmGTZ<F0zRf%Mt?ySO-^<`Q9@QDrx?0WIYT&PfSGS
zb7r$=j64dRl4Tr4lg$5t7f!Kp!B0(%YC2qKw1Ai8I`3L=XuF*en=O2vXITLjGV22D
zIl{VVPm?_)Pu}~ke0|#;k3^&g5o@OEJl&T7yWAFbZ6w$nQ(xss0r!O_n@VAyZyeH$
zt|%~izN5U0HRkJ%R80&Mm?_}2BT|ZFj_A1h-8%Z{OnAcGZ1Qt@OE*fYjlY~96$vZG
z<Y;nht=s#|aJ@a(v!P<Jko?&E<q-zYeFq-w>57|eYT$U;;uzuNQQtWKxpoh%?(cIj
zmwGIDLC=TZrfeG%;rPCgfTwP-qyB-lW+I|rgXpJdLksa&GjX^_N5jH>@o7nol!FNC
zTSldmmIP9`pSPJ*V9M0gxcj#CuPSB%Lo)~mRI9zc7uGj>!oW=U<4Z|B0|NuV{=<kk
z8At_A3WJk~GZQ4K7~xRzyl0Vp!r%rtyTQp)c%7h%m-k#xyJJkfRnm{JkDhXrXblld
zGAC!j#`W;7?%aIIL2vlfO)@jVWV{3chKD2zeUQ~*`vh;Dt2OLZ+8|%O95`6hI&6Q`
zrM0|keaH4mQZ-X-Ol%y`;b}S|gQz3&=P4k(iqEUjvt`C+SufO+9CPMtOx(_Y^p}Uh
z9sJZCX`B_K(kWfPp!(6W4|7q&Ijb3KKkIzSldeWm<*|?|GOyFATln$I^BTbt*I*8B
z^Xe9?Q*m15ODBCygBd3vsChuQrhXFH&!7qjvWgOqZ-_mzW6$VzlQpfXne~iW1u*?^
z^^hz2bVH`TtD@1AOYfTXw)ao3?SM*fW#ul}=6ffCOS$17IP8)}n_#a(?PkXd2ze8&
zj{lxTGOhDFY0!jgVVGwt7RM4l92Ng;nO3faGUcR#^Xg;pth5!2{_g2aZ9V(@CUZ@p
zrmqo;ZbIka){r9!^Gs}miLWf?oEi-fXF#Ol{3&SNg#T{cHQOMH1)BF1^|_lrpe*te
z%CmxJl9JVTrGIV9Y%T<5q3U=PO*q7UfE7$Rco|0y!pCq`YE5rFu%1GGM(Cn^ad$c~
zv9WjOhq0tZSI5B)N#<rzFm!*L)Ulr?pwfZ9Yl0X;qi)7BXn;rx+Ubn9D$c+;P}A1-
zZO2(e`3#_s`OMt%s!x2R3}MH@BnOg8uL@>4&@bdC_ft3&m+2fGj5NK;$1IJ-WQ<p)
zC{y&uF>t)_p-h%^*6e9u2|jypjv8o{Y_{!<3OGn$wtCCxkqx>k;fasv9-zAZvMg!a
zoKVDL^>S?yyD%-6WlE~p(4y7{jI)N>mI3{X5`#tO=gK~%h^Ovn_GTT99R&nP{y05M
z1%*R|)Y?d<D3G*YvO1cd52_0mq}2#pAps02&Xw5GLoT!Ld1lxn;+p|qb*-G`QN2z0
ztP!TxEQg-?rL>y(^-2f~6$0i3a4n(DFWbYuNFRqwM|K|aS@DwnM^?&G{E%2C=|c!#
z2bAIEN}qJ$iB^Cr8P{m*Mt~)Sv*62uOf};7-PF`3Jax%WkMj=w-~#krX2JBQN1wl*
zoB`xx^}ta><!r9X5LDNw{2^V|!tzDeUpo%qQSrt7kFHZO1dMxoE0K+nzP_BP(NEZ^
z5k^MfRF>#Aef4!GDUb>a%B2G;OFFcGGL$QY#aw343TEXqmu1gH2xYwkV;ZOx#2T2C
zv4c9vm$T(5mpr21oQSZBx`tpGYxQRDyc^<&hT>RWiX%|kM|068m4FP6hv9rvy5Je}
z0xCZZ2U;)$0%s|oPDKSttll_B+!9VVL(0nEmJ<!xiO2h`gi%}@N7|$=Klk2LF>C0g
zf>h(YE(8jCskYJAB$_7mz#us5$4bG)Qf*4RGr=L#OVW3i_94^3>2CSI0pSs3XLfym
zWsxvpcC<L5#I6Q0N35q97%b<qR;lah=CRE;?kjp^iboh>jts{mg(^FLRUO<3@CP3b
ztTUg_UgI8m-vM)!gFiO$^q^N>uqq3*e!&iDTdPnv?-%!e=kEeR5kL6T9)4hsC{7r}
z`^Jn;X#8LZ!lQ<49r{fDeWylNc29q=r0(1VkI-|Pli`$0N%#?RxC{%#6c6Wlxo%6h
zt{(XIsJ%m+-T`*n#;MkrxxN=g)YQ4jYue_$mgwm9f#Mi`Mm$5$IT3KR-#l=NBLkSd
zeCgveyLARZRz05?sR`3m=lL_=QjU<Ym2U)U{$b#0pWZ32sMrUsz`HZ}NaU~6HA13>
zmy~cl>dKgKw6V3+IAxGTZMG144F^Eso159ik0#Y+psn^G|8FqUR1YSIw8)m*B-Wn7
z!!q4TR8G{ZZGeU1ePf5$SlBi41ODo-UvEf4?3$jb%0B}K)Ax&4yJX936}(-{i5DV1
zhooM%Q45QUEpewxjQBSflP@)NA;h5)|Ly>oAKpgL7WVJuk%O4b4FWZD`*M8KmrUme
zuJ=G;`}q~4+%bU5g_W|27`3#yYfLCbA8wyq4h%>qb>H60n4ihvWtHGN<VtzmHdQ;~
zRINCES{Z(jwe6uoP{>?g@cF9{_q0y-9L3<=_;}9`Kq&!cVPrq}sbc%}TI$3aFo=k-
zcoka&XG{d;mL*5=-V1M{nmretmQuMV6FpO`TL<9vK%GagbKo13Fnvs9zwTzyoz1{g
zM<?c33t{tmw6C1vhKA%}gkQDCS=!okt?z?_Q_SQf!35B{9BV!XdSazmx(&7@loNVE
zyIN}6RV!hkG@;KwvFWIeh39m&PN*ww@(frQ<he#~NFx%%cFNg|ALy~`-k84#F}SS<
zE>DWZP7}JqQEF$5EacL#76$d7KVz(;EyIi(8y3NOd@G~ivnUM^o}3jho;u0m!YUvr
z4h4c>6<>7G2O;P^&QHtNl4`F+5lSKs;1m)Y5?jVh6+V?9j2&QW<{o7{EZ+-<ku4iU
ziSw*JT@lZ)#)JXXQ6h}#f<C=)FC}T>QIcAz+YW||JSIwNp)<Waq!|B0Vtw8E)Bx}r
zh-LoqdsZUK@C+J6fUQaL{un?U>cu_{W4xD(y$0eq;2ggE8@R_WVU-IC3VI6MYND3e
zn2DAk%ubOh0j+NnW)7&u236<ZcY)<U!n@f-b!=9Cv>q5R>U3v5BQ?!vor}aaC16Gx
z6^ee>ZeRy!K<(q#vx{~ems^wTtzV-Vqw{ddaJp3MED1f#-E2rg4kjOgvJd8{-($Z=
zgQGG%zMDd8JGm;2pT6B|#j{+W)z1#3_6?w5Awmd|k6OFgbOISe_c&MVvU$Po0LQ_}
zDIpDTl({`kgOf@N6rSN06c}l>>fRcqA8J?{BcgseIA2}L&|NN2xbfWoLH1~6o<q5m
zZ_Y{RTUJWld={pb^Vg{|gVup3SeCJf!?lsmpl^CBznlf{seqrpK2b~F1ZEoPMH(kh
zA)5-`*q9hVrV^p2Tich5M~aKbs}t7!fKm3<4l<f~KnY`<IH`pjo=NeX0MHSX@Qu_o
z{W%6&mQ5p0Z3BajH{3peCc3{rKF!&X7^pVPy-UIxC6yWHOf;UI(%EJb5SFBWEi#!<
zAXWD|n$M>BQR>uMbW+EL07z>EzQ`kgx4(ymy%fj8O(Sg(qqbK_6tNDdv*Y2>_BRbv
z5i0TC;mk!w;ze*uN%~S`|8tCFb@voxmsC8{qZqFknG_frQms=93$f+kn|SwzJpy1q
zAaf7|A}IB?BflFlWe!537pE^YHGQklx%0PUqD1;C!FsMzzS{Dhf+6!C1;Z}*;7S7R
zF)~>>5*2N_m{lh|o#__j?)Id^i)qKQLLW{PRjyk__90EXA%ZDE1~^{#B6}6CKh}9X
zj{xz|*&8hdPy|MFXS$=3_OmS?MOF{LRk{Fz?t3b%Dm4f<R3&{#E+aY{H$2e&Ev_5P
zxVP`Zo=9GUfVHcilXSx3<|}g92wiXO$n^kANkeja>CsEH?lFX*hDP50(O;AhT9_Zn
z0!BfD;&lC_WmDzVf<+E?=<|t_V`0&7r3aR7BviU{Ln#BX+lqo`O3Vc-1_$lPUY)B<
z`PG(!10Ms{CtimrHh%5BB~QoIn`@tLJ{R*<+wU10T?jC5PH3p!{n*8~@7J4bW7z5n
z5)ate*z{E)mrY)edQs%uk&Xvl6CqDY`p0y4Qwk<I&`qNFGfTbRTM<#w<?}&NvXL+7
z(%uBDHT&g^n*%q>jiZZxNtoEubI8ciFKE`YM%(7?Tm7tGW-}|IncK4wa^F*Ak*NJB
zp?XV-x44+BLbm5gl@zqVt7-QBfy%xohDx9fItWkTOCX6KQq}Q@aL<tHG{$V0DwFW5
zBlRe}U=0y4MTEM#h<KY`1nv2~luL{kgYc^Pj8YXk=?+7GlS`Hdte<7w<TKZnBKTFy
zj5XEQJKo*ij1GmP1+0POGEV~GMPHvWyrJ)pC!asJTDW*Qc<#+&_S&gwQ7+*gNKTRe
zudXEfbo$PH^X0v3+%rGy^%kO~4H(MWFPvCu@NXnLwADu(67`)GNPk}kzq(XAz`(^-
zLGOYB78;Vp$Yg~WzdB#3?=f>i%0uOS`2{KI-&*P%&k<*Yps2x(to5BXzT0L*;gfZ4
zj(<KY&m!JwBp-v7R%~o+N`e_w5^;I(ng}gGOn!&dQ2q0(i{aJ$(j}wGTpCnZE`0PC
zTbLzSDFOOAMlQFmwIOcX<84*Z@82{}m(E$|Y1aWZx?ION)q7ZCKOyq4@9WEC#2Iaj
ztNUoFKgW;TUYb`Dd(KPBPf&ctr*aLbOc1iZ9lu}YxlUhAPEHowupscvGhcEw=k8C}
z^`b+1?r%0mNlbv30D+WLHU~HKJ)Z@)`KyJwqgI?4y8@w<%BdAa>>zjm9-cEs24Gln
zdPM34r(#xDgq%35+df=7JUj$lT1x$v8*R)6Ku|4;Sw{Uzhbnl{#9lypf|Vb`kaT%x
zHP^4VWx(j3;&#K40bEC)yqXjz3aO}tpJ)$HF&uZXV)dg%`Jp&{e{NS`QXwQdoR%v8
ze$edH<vfEO9ktiks@?lmza(=XsAQ&hcq3>lTyT&AyVq1X5;p`uM_V_m$e8ef*|~e>
z7y^u`k(ok)N8fDp!+Zgar)Z1gKiyUv+gzpoD>#uc`;Ei%&|hta`lg?k&u-333^Y|E
z42xGL#5zhAMu9~_0Et3z;Y>XHr-<Kb6WYvIWprchvXbfL7B|(FA@glZt(`SBN8iVX
zrBpcWSqvZ56q&-H?f9K%pqaaA`DrMPR#RX9gQG{hCcUY~|B+A-<*os%opaOfg{n|h
zj)GQngPL~7nU2^;F;bKI*@I;X;59=kHF>s|9aczGM!>-3DJV8jvGyBGFsnv+0E(X8
zS;K1gKzr-lS~;t0y^KaCK5IX02=cc(dAmOilJI1V4-wT#kQ4=xV^AQusw~0xFYBEI
zez~@$<V8m0gW3)*z^Tdqsw-}US%|EQqQ0k#gJx6DXjLl#)a?eHKJA_}8wJekTVIuj
zV`@;kvhtTwYNC1O9_D0zaDyuKThA0v9<Yahx4+n<=f4#z2~)nDn#Nir2s6TQ{w@%r
zJ)cb6sJl{C<p{Dhl@t}_4Vr#D$$04}5Q`~`+$@63A{0R%I-Wc8MuY!!dwg4Fg6T(@
z<{BNQq@)#}S$jk7f=!2UGDrhmEW5HSRvT}-_}zM-PT(O(9j7Wk=<v8zX1H{{=R{Yl
zxis(ocB=ljIb4#E1ckWc08E&Jb)hqXZi44S?<RCsrBvwU)_+hzsba5W?mnoFLqr^p
z*R458;J;UdZg2B?8!I#<jLH8_w51{2Iuv7%s><b=4(>PVR!oTAT}yb?>0y8HG(mcG
zYA3=5<|hE3ZNgW_4x-zE0=;j(y2AG9&xH=@U>dEYmYm4LUk~Zmh$V69XlT|$OBiW^
zm1z~A3;(7Nw3xI;`}rE+^<b*XS?1S$^@=s33Q%jgeN6TCap>p>5lBT1Z^r?2&)%9M
z^l}<Lnwn>7VJtXMYli8^@|Ww9KL<P0m^;nONbha}gj#^>;dxOZKO{+wm?u;#FcOSF
zixkd?8k+X5(mYpv^wKMP`w}49o)nvFN~-K^=DM&<zOhF;11+Kj!ZFJrS_v?s0I{v|
z%F4`(V$iRTwptJ|s7O5+=8u94&*i7q;lDBO9sju3rPTCww96qAoVeQ7GVkcLf}$Ha
zD3qmj^8Bdxkby4*Xg0tA@VCV7?OQn(VAZ}avyDnx-cZ*4$j+zgjinTUlt!v=gSh5t
zv)&qMb7gB|qqH-xh%9{w0s}ScXF>}Gi_zWvhv-BVU>vwq_)pt(;D=*uVnR1@GGp2B
zxczU(9aUWiXvsGQK^8rGgmL$YZ8H+uz)ZjDo0~dI+V?_e?kZ-<Z^jOAjLwe=LU{cr
zL-t*kIs9TWhF_jblY~fw0Y`qf2zy_im<{S&Ys0rIm2o4;sFf0-fEVI>^~v|+t!NT`
zcn&I7^81W$L~x3UNuSc*sVwAL7GDE~O5tBIM`6MJTKjmafIlpb<8^U!1K>Z62&HLt
zw8<UkmD&#+LGvpsB2S;<N@S7?ei;M_Fu<=j76+lK0sOlvYudrV?6BP9%GP+^t}ukq
zlQ+66$lO%1pd;%L)sDhs3XEZlEvK4)PycRNX~3)`l|G%({ADSEDt%U|qkSGzf*i#l
zl-pIu&&G>@Q&8@jhb3m*F1D2$zufDglMMJAknqHnx=DS*?ARDHY1fGKU{;eb8xHAb
zX%=l*se>#NQPP2%Ptxq}uMvDoU2B;uH8e5kj~2P=2-qaIuX6#tHIThV_5)81b<quR
zoVJ(vGRbCOS$YpD1^Iy^I51<!UAP0B-Temhj~Q@}ESo+JeTSbr*w-<bxp{lHvv&f4
z!!@7UKW2v;5IsFCHO3C@m5HT_o}MHL39lQX5#^J?Uc!nrw`)pd>o3ZaMQ1wx?RsFi
zwzmnwN8e?;!ObdNt}k#Q-Y1_BO>FryfbrY;jeMlR*Cm)37#i9BT9M`OKQw%5ugovJ
ztH8nmSkcKqSE6+HM+rm=J{pzl?t;V7_<IPV6AN9oZnMtX=WO3*>VKk0iMQ?@m{iLC
zG_O>(eAdWe-{Ssp#xpkaDQ%0-&0jE8CY#B#(DY>#lN-RpEGyWsiCW$WF^P3Uh2{{7
z+(16pR=Wv;PYl=A#l^*f9QPA(<1g}$Al{)HP!&~Hhv^v><LNOWtPk3m<{g;k!%wWz
zHJ2zBB{o}){tj0JnEg>P(;SmeQ|y{Z)ea12ef|=7{J@E%R3N|I7VzRM?HiO0ezy@r
z;e_Hot5}T4jwX_n!k=1t=b_p%3g|z$QL61fbSOy|FPgThN+C6&7zCirw#K=ZKu-7V
z*`SvEGqCz}xA<lBg=h{*5Hb?uctFG;GrKq;a<ymtsTU<s9JqAoq!n4csYp@<vkGwC
zaLLEN7qW?<|EKej<vg+EEwgF2N(1J!o$xlB0h3X$HxI5nNeP?>pXn!l=m+2Bxq{g{
zMDVr)ZCA|3`atv>xMtl#TU+)#2tos=ycNHJqE_+up<EOQ3EX4RSMB?6!EmjgrK6`h
zQUxrXccwM7w}mEoSfdzNolx19cfP%Q?tKazn!q~!Whb%pSb!Xh6ZA)+GvWNzJotoK
z^uMrhMZ;IS?`a-pdG*KyT|}uzp|cnt8yw=&qPd6*eg7#n)r@fbZ8U_LBrx3*pClIg
zr?6r^&_$XbCkuDbpXxBF;FB-q@$Z|}WeiGrONh3Y*Em+=ptkQEP_zLsw1wm0VM`B@
zbKwK~+YPU(illyffp7EkO~M<3v@Mm9nQ`N0uAHn{vaOi=B#dC|{#91oWA(|&n4}6X
z;1F6d<WSJ`ZDuX+?Cby#tUy{;lu-mD4!Z`)+_Q~m-&v9U+rn>w&x543+G_VRtmMC5
zQv~H7iL2P^uhF04dC6dA9P!6)8Wm5n&fa&TLYV17vog^+N84G2pMU-OMLuFSka~{4
z5_aLE@$DS&M!=awLDf~a=b&Am$jnAI=iaxT+{#CSB_bT~+t@+>9DJd`Q={V`$0g(L
zi}zs&>#Plb=k>9|Q5N&4Ba@Hk?ZsQW)@9qfttXwAr~M)A_!_<f0WOn?ShLy1RGc(I
zJ+i!Gj|lJ&F+8$Gg~BWL5K2<$h=Sr~=bIf7^Jw>zH7|PD>$l@+j7%2DUM=Lo20E(Q
zxn33cUxt#PqSlAX2WDC;<v&~X;r=OEm_aYMG$+{PZ}jDd>C8z1Y4vdJUL;3HQ=4rt
zfTnelCmx<BHNHP{J9z+WHAT`z;1}!dNl|y!JE1|uy&VBeU^EhCa;Sb*zO?QrQ{uu_
z!GS+#Vt4ir5ICgAiv91)1TNXD6gROh<9(u8hmr;SCEny%f8<3Cu{BOgnlqF$7i5W^
zc&*+QzTR@607jMqF(2OncWy9!14KKiozBp};7qvc@&l=qN|IJ69_65p;r(^@_2WBi
zNp)nHWd-ZfuO$*-i1S<Yc0&}*zb=gTh@|d0a3Y);`iq<Fom9$Q|7^@VZ&F*zlmu6s
zTF5d(0^Rf;`O6>qYLUZ>2VodS$R(;iE=<LR(d&j{LA;XaQ2acNCQ&WCZq~Mf_YtME
zWDkRpS~46P4bpa0mE%{Dz~NfEw4j@C8t>cV%!3z0uJ5gYro`0U!G2`S(C2cK;q4|M
zaK=j0@p_bJy(Z<RMr4glXLWmaAwk?CDFb?-hooVLT9LDhB+se+xfItyXMJIF7_{n4
zgZ!X5{ooK+g5e&`za1&{wE)F{Jxd^_fVsAZXc_)gF;2xq$0$3@QoODLZ?WZ5dR6RA
zg5*F64rIVe297L1Z`@dTPF-y}iST(x(Z>$3zrf_TzzrU(TabkvnO|~7$zHH<%k4f#
z?(lEmyYFhOp7~A+#7w&sOcmjubz_91K|$1${89@9g{s6XYacr)YiMX8WE&VdgyWB<
z--x#M9=B^TUaZj%`bOlT_RC5-Vc3+D#3s3La`;0WxKTgwnrKFp6a6{gwIIuOon0$v
z5%klly&Yu0A6G~V%$bidr=ER4Jg|7tpL&_W(Q&cPef%rDWNtTY8x^aB1RV=jfD9o?
zLtm)5*|eRqw>OU5U0hCk<_>p@7CEK5`i<X@@krwRq{V|u`pA@fCbzH3?gz&In;6-%
z`i+lFZ-<=KlZ(ePRq&=I-Xr)S9IH9di|6-Haj+`EdaVoHXGHHzZ)L9-P-o-Jhd=Zc
z{1oCMmaK1Ra7ogr*#-hL?_U~v=s?o@0xSx&2yX$M<KW!4UrI$%QqnAMpIJJcRjbCx
zD8)vNnTGSz)Du8ji<IXDc6F~<$BTREvEI!tN+rMgo@3?S6$AImV+*AIHj%-g#_T-E
zQV435;XLoldzgvqWlpKw3Lb+17DPD*?GCx?B3Wt(T|0PYHV{G2$F`9f_a<x<<`L%2
z2h8DgmX#MfE0aTucdfty+YIRmcO4D_gbsUr`WeknIoh#Y?*t_h8N5k`=iB?-CG1*x
zPTT>?vcgMN#^y$ee)5B6!#c^{i~a%kUzRWSf4KitDI=kd)iJZu(_t=D=m$@YzOrVj
z9_Bt-RSGs_$Rik&282fEj2vC!X{~XAh(?7f<F$K*xApJo!4wK|=IC;C$Aw;30Bu+W
zzq60mAClkEcjj;3RxIt`9xM1F8<|r|?zN08;z40?q>PUfbDxpQsQj^bc$5qrz@-cP
znH*%p9hdpLXvh7Ka!CXnWJl;W&{9)A$G;Fqz~x?3nS6|0iK?PPAYTfS$OU6IM0|Y&
zN8y)yND&C!;nB3QPNIi^^?A1Vnc@m!Ckjr&v_*fFsQao2Pk1!UMmmBb;<bR=@-kpx
z!m2f3|HlQuRKk~(1n;%j&lf^tkVO_E8q~G+UMjK=sN8`R1!3^jHJ@J?z?i;7jc_~F
zAVUKrCiTdOLu<@X2KygCbRs1EsB(X9u>Ma!6#hn!C#-Ir1V+kf?|L4~GC+0lc3IzU
z_3vf-DRBQIitPUygZWv38K-NeL#>5!nvJ{}Ba-PvMj^6Lx69Ds@#(FAM{WiKXMj{~
zP&!p~=SS{&--?Z_U>sS27lEmP%FL*2JSn>L16)|xJ+i}Z{wzuXU4}vOX2FeB=<yVx
z2uaWs3|aFDCr7!!(5q$_dficF-8A6go;MRr2o>p$jf`O6^2NmFP|1|=gg@1uaUf95
zYoBdKtIFiS9zk|Qe^4jhn9PDo48dR|j;w6*((axV$lc$8<v;tO={+a1K|Djop(wIf
zl@q@!)+aLrj_}p8P;PTiAfsxGL%ECG1lY;|r^Cyj9&nos_Aa76iWN^Ey-Q4d`rL^7
zOF7&UGU6sk{6S{22T;$>)jPuN>wDF$9`b(#)1Ayhdsbuf-dR6JV1;fJII!WD%F9~&
zwcxhFdd{HqyQIoJwbAlSF|c4PcH+@P^+2cJ5><OYpt$YJe)c7j1T#_|p%^ER=he5K
zC69AfWmaoOxzBLy4L(D;8?N1Jb(0B?5%2V`sLS#;wfJFqJ?A&Fax}7poILD2hYN8o
z3TS@JJDb(bm|ZSFm~p^Q7FxGZ?kUOAzbDTE6iCi6lNsiV;&aFb)>I!5HbGnm7L&H0
zQj$UP)#Jhsi6@tOO7gi;3w1x$Ic(676I&1}T!vGp=JDDdm91iRNg~9hhRGFK=_YUX
zdx96Eakm9+me~E7EF-WI!Noyu-Y4=F-I3oP@Mctg+%8tvYsu?*ahNyjY3IssJCRfe
z%$>lD1pY6B&7y3#{_`7Zv=Q@sdt2l{ntCiGW-QvSe3-<hye}Z48~WayR=F@$-p}5T
z|KoBifOY38Xz8ji5|A;m#EiQ08DKwkI;*PW;>hYTvk$JoWM0*F4K!IwM5~W_{ioy^
z+3{b=yn4;Ul-7g8W5Yl!jL$xCvazuNbS1a4d@)Up%RXpz3wy)YxU?!U_<S+T9=Jck
znmFqiKmBzz6Q<hsphD_iqNsq6ezzA$13nlk@)}ogAUOay8SsPP`~LM!!)$ABzqU{h
zYlHuzfm&P`f`DatgH<|_l!L!Gy6OlZu!6ax*y;_)2bL}XJTTw8bKgj2d}Rboflg(c
z_Z1u@AoY;LF3dgq{MendP<{LIM0g@6ivp7XLbE|iE6lEwRWQbe`*%BPyt6RfkdIfz
z(-yM=d-r^1cFiuK7;yh=D)_FRKb)tt_A-?gm&SV-RFv;u_)zhIsAR3T0N^M9FRtZ`
z^r-eAA&eksH^odOrs5gzfY<HiHu15v7K|1nfckl(;(#rTsK$AomIT!}M`3UzQ+IQ{
z$?N#Xu$H0sY3ban`x^1F@Sid*1-RhY@MkzOE=k$Z5W!)%X*RjNyKm_HI33M9u*w^=
zx7*?EQCz@eL+IJFmo9Dg<^yja$-wNh;QGbs8hn=%e`ZRQcPgILF&kj<dQkjOyV`-5
zx`60|Z0VH)g`JH}n<mAU2ap#gjm%o|{-Q6=N!WgBRonAmeAw#b%eqcKcY@rHF`GX9
z8S)3AfFtjFrVMERfcmjCZC5{Kv+z14m57(vsm8~-b!p$$&d#vZ;2S{cL6{nUkbz|Z
zE-5a=de9u&vYFb5S{&&Jk{E#thq2ouib0P})o)D>CU&*>XeMtf%d5pS)-pJB^7oMl
zLRQE{x?(o&>9N98q2Kqu<xkmuisk~t>xmo<35*^gkPq6E$D`M+MKV%gM`SLng=6*}
z8hhi<?17*kw@?Rsc|6&m*+oAFGq$t_7_er?;@J8WkoHK_r%h-Eb15QE<L$6EglsS(
z@?tQo80@$2X6S{~-=hw^;eEi`n-)5POxJ}2LAqjbX1zlI?I8YL?JgQmPZ~QogOZGs
z|Idr$=5Gu6eYdsv&%$MV5Cr)>XE|N($7D7#0%4oYdxEo0!5NoF!l~tb*7`N{h2@@k
zFuyclFM8{C7ptr)aisTxjfC;Ad~~*DBn943#m54-a;jc_qc29eLUIB~R^Vo-7kr66
zZi`H=cNg}xCl+}G;!P{{-(4~|P>6aQe;~_qR{m{^l+kfdEC#|>!JWTm<qf%3uZuUf
zhMPUBI6n-oSQS{ZjVIrh`*Dmq0_k7(PbFMwEKQ83p*s>|Bny1Dm33Q9W>E{@zO@Oq
zH+38Uo3Te@F@k~(0}VepIbryVMfG{gvsT;@yf3GD+im;-G$OL9J@u}Jj*Eql2cm^h
zzkU*zrv@-5b4*^^2PlC#h6W~BT~se3Or%GXVK7;FT=}Jerk!w)n969{DM0fByHtR`
zg2pT#VIRlA+nW-%ZcnALdPuSmQx{{iz!kRO&V|V)+fg{WF%Bn+gpU#kZU4HV2vjsB
zZ=JThJUrB*Tf?oH+cneS7fuxqPenHJB{>TplaQ0^i<wb0W4io-aC>-YFH8j%gh-II
zv@}W2@&YhysRm9sGcN@1dl);V|4kbIz!DIM+wE2OC77{LGHulPR}9v#B+K#FbMm_a
zpPO4<YP9<t^z17qIdyQbu*UccUVxw$`+9|7>X(+2=Qsa$j{rL#AfbG`3^(-oCa>mP
zJGc=l5e9U1CmEe!j1GPH=yytMcr^EWUG9zR`V5ZYv=g)A8E{^#Zm{!Doa{KK7g=d6
zfp@&!AU5pwnzf2w0?ia&t*m}~ts@mIrIz-6)yobTG9FtVFC$nqe}4W((ZTCyJEtYo
z#kcZpY_T!Y>Cc09^EwZy9!#8js{QniIwey_b(&eP<dBF}ta|HrohsC>3B@8-)*~~_
z3xF1QdM+NT&Jl;BC(S})lG)F(Wq()JgX!sNX25Q>V|+}4;>aqwhHa8gf|&bZ#FuW_
zVGqqeS&rG=F9?lH{D6XC9y~8%t$iS+#$G^pd_WL?j9N@PPb?WuSl~j=+ceo6H{P-1
zi~%9H9=0f1i^If#`q4VO)mZ)YBOtTi+rVD!06elIcN=jYbV-zYsLN7^gyp?59)=Op
z+T*l!d`B-YVX|l{nTHy!P<II$Rvd0@@x!zO+)3~ki}hdMF96^D2Ta8VZF_)@OZE{?
zfJM86*@M=0U@<}Y$yyJ45l=<K2h|TysV)CfyAoF(c|SlyM#PUZ`zX%JOnFGLDZhV~
zaUZROsq<rD=&%3ZOEq}KX%yF1n>5+rQE%wO9JAQ%71Lj_Dx92t{b}j&q|rOK>pQPi
z-{PG=V|p6V2HCZ)#ZCu*{y5)@>6b5eu6zdfsTSH(9yv!7{|u>rkSO~?cNc`Wz(=FF
zDt7@;V_tU|@eSy^7t_Bf_0}dm_xzbt>IN~FI#+0g!3!@Yf3$X++5;s=tXqg(-}w!w
zquAR*$v<dWVI<H}9wLcl@o25TARSb3YE~5#X1m()w!+&>z^xEr!a~e6nsHUvN?qgV
zT!@?2*4EZDyZAK0BmJ|&42GT<=d3>SQ-%H7lzNKZAMD)7Sd@?49)?<_13GZ$jP9U=
zO_X@wFQrFF-S773K-Lin7Nbl!TAJTl=mbiDB>m{3Lnh|J9?!tuc$EL#LAegj;q#vL
zBq<gbXJ_C`GQooxjB_8v*kE0?%tat!V`rC>om~`MQ;QS{Q8U1D#bk0vjYy+$j;}4Q
z6LJ#)xl<`$rc7t3kKsA5E#$Y)1YOu%^pOA;p#bWV-Fxk)Z}@*x2AzM{Ym%O*QCIP(
z=r-|Wk}i2Q6jGkBG_2mk>jAC_Cy<IG{r1xa!HQ$E=Pycb9&HFxAY!X`8B75Tx-F>%
zz9dyFn;oW4%Vs*}Iz<f+BDZ)mz`(!U<WMm4W*_hgPvo{3>jr-A@#Dad$W={5-tL?M
z0cc&RjqdKSsj8HhjLL_^MKz%!ARQ%vlX<4z%6+CZ83PS&rR=lI8?f?K$`N5;Q^pn2
ztlqPj^P)^Hl9Wbpj0S1lip7J;?jt5z?m_OIcTyxF;Ov}fwyucg3UN-iplLLT8XL9s
zGDSr33q5NZU;e0h_eXdlqDx>uq!%p&hV8Kzr160g0kLbaMi)uk9_+u&Pk_km?l2W6
zza8ZI)OP=PCe{aPJ`fZ9*-@kF#|mK?O8U;-{CijVxIB>*30Z+Uf@c{@%`xA6bPL$1
zgI6`Pi?!IE>QcXf?b<zdzTDCRvW=6?u9QN8g5YS#5XncjpWWm4>b2k@1(r=uE&7Bx
z1!ourROyKSGJE^J#aKzBjSHlL$e8(vb&^5hyhkJ(w19~!;11ge$NLv@gP00D=8xfs
z>6i<CZ|*itvVqqwAZ=@4gzvV<m)63gd4Km5I|PzOBTELoRzrIpHn@3Y!~by>XkY#+
zkQ3dPXRU<)q(H(z-FHBL4yr(;V%a;<za=&FcDO4$-(DFQ_*|~?K!_99!!AyB#i$5<
z^H15Ny0JR2QOp^tqfZadf=P@gGy}r?&}5r)C2H5<6Y?Lo1tz!%2Xsm<ZR~Ujr0N!;
z@+~nohO%z<n2q##CJUG%5A0sp(aWhmRo9<;`_FDbj~duS1O_5n?<ZW+aWcz44M=E9
z`upRu2Nfb3XbHi;y7?n+k8>@Ye|M}buR%B|FYoOx=sC0XMcAr&<jKIdp}A--WJ0cS
zRyFSche2oZZ!uOPXNvOyCi>6Rx@pzrL5$kqNn4rvkPR|EWa$~Lg#clZnct$#?74wK
zqatZ50iEQaoMVwBfyrt{07s&BCNPqc@f-#4003$~dbWcJd?<gqwi<dJNgW(=%Hf%e
z*${Ck)2$1n6qi+WiAx$w{2>}R*x(H3A*3<QmXAX!N;5B=vgdxLIK|rzaB`u3QuW|<
zYP82GSC*n=-)vxj*rAnyN$eN{-sa1bZ5Sb@`E6RXNKpO8BJc#JIdCBba~RdZ3w^BT
z3v4ekm*)Ly%Vh@fcP7B3YUgv3F(*v}9OOQ4pIm%^cIENar?R@qm@9HHg23|@tLYCC
zQ$P#y=g(K&j6nv78jl>_Hbh9(mtA9ug#f};bcXcJm35ixdxneS#<x$v_yU0FkJp3$
zNM--CGZzN(N+V9F>CXLc+%xMBFene1$oZ3#FDFTx7v`qG1B9l%B8r?4nbDn7SXF&p
zwiM{D_OSn8(8b122BJO$Ueus2gwC~kt)fc%enrBpGk#OSH_O?@T`v7OlayQDNjB%<
zzHW2287ZV?ar8KV?@eAG7(Gcswv#UarB56OIH<X2KLOgp^YhM}XPkN5-fVOhl@?BJ
z@ns(pTqlSSA*e-V<eOal597h88$8`zV7-^}rVfIDvpBE;L}Y_B6a_fSnKQ>eJT)s`
zk9!a6YA}#cfp00eE(~@FFcPyQ(N0BTx7=7B>)Yc1{)HS%xU9AgHVghCek30Po-*M`
zh@aM50k7ier-FhKgn4M%O&;0BRxPrGP?IGB6Z!ZH6M?U~TCZ&$y_S;*Qy^Q=KaI7l
z0It!qp6SIWV=tVWm?5#|c#y7BzKM=Xvmm04pNB|OgM>ZH0%x4>`fkuS_L`(aZ8i(X
z*xMT<fr2!n-8n+s;MW&hC<ktZZ+?SaE_xCE&-U`~<Z=Ae`@G-oNB6Hw`tXxW;Rz?y
z_Bg@tYy$q_4ZQk#c_`lTg-GPB_U#csu|*FE4_sRTi$SOfKTA^Dtb~CFfpoz%)aa(p
z`o0Gju)rNWx(_DJj&|ub)eB<8(=PooohnE@pV&hU9HlT{m)Hxqz4+xvBQD{|jw<C9
zZ+e7tAHcDDbjqg{bieewn)AJx1Dyq!I-iJMux=e~40hh#9NZm-ieBFW$GaS0-6K2!
zTYKnx(JOl0E9&*D(A)Drx}r)msD}3e4$P;|_tgWY9RXFz(CWq8PfHo&LOSt#3-!*&
z1zVAt3#TJuWOJXy6JDW9VGvSJY;CNxiDoJKUM;Qq<o19z4zcMB?vdF#JVZL+TDcH}
zW5Dwy`Hz^c+i#^r=9gAR{x5C0pd)K~7|$mSEs{%G-w^hU%GdQhBL@iwmh6eDK;8uw
z!K)KgiOXZ2DA1R`ewi2V&4f6Bvvtew=9+1D6zEvE(*{<R=m`eKz{wo#>LUV7l)(Hr
z-eUM@V`HNTJ&%`%hX;QKAJbbn3(=(iCpFdKG1DPD1)?xs=UA<X2J^|!y<c0Twe`Yu
zEHfM^w62ING!>#GQ#_4melWHS*=sf=4~R2LQmpaOw!EQ4joAR6;@pp(36T>0+-{Cm
zV+}eCwl$u_@TMc52)X3{Tqbs^)V_k5n_f0Frb{?5qQe41h7!rj(yS4>AtGtZkH|Df
z3vba`CL-|spJ7N}seE*)1txBl2Vj#@7}B-c=_@*VyM4)Q=sz9hjUDfY2&X65)vsx8
z_E3Rc5i1f%72K4t{6%I8jy@Thmx6Tj86Z<$3IZoJ;UA$I5Bga-I$d@(NkW9aD`syW
zm4GBEU0rLSX$KC5vC{%ZQ41ipVj=C9c0?`BQ7HT4TC=BtI4bDMc*C{z5}aEx!}O*P
zSpB1ZQokbbK=kIda`fapy$J*dTlw#Zs!NSyjyv#kdvFJ6fsLJ=ccpX3nm}B6fAFbQ
zt^ZQ}w;hdrSv9xo+G>@a3{-2CyCJVHPL_&5$do1TH>oe9DNMZeJukA}BY4v-S=u|j
zD1M*HT3p}Z&|u-nmlfTg(>Dj;7n<cLon*?gcJ)3w!SH>F1lyg@@%m>`2Mb->U&!!V
zol?BS6i+^|wO~FQmpU79@FK5&`vezrX@*<)Bce5PgH}t;o&7Z%?VF0|V%F0KP!gJ1
zz2Ddrf|yS7HeUUkn>(~LZ4j05P}-NfLp3XaE%F;~vbHw=AJdCxw727{*W>S2H)z)Z
z*K%j)I9$-+OMMU?oEnk(N2=hStSgKp&ikGDwt2Uo@(2ZxECPc*GqcUx^~gJ+%hdoU
z;x_SSLFZT;WwJq@|3}kThDH5;PcI>@q?B}bcXtbdNOyOGG)oH7-5@Q}-60K2NGpwi
zbVv#aJ~!Xr^WPU-Uc7MG{oHZR%$%8SWHQbskKKmHT|g`ncp0*RM#$0%Ng%LR_;=H9
zk*^rz8^U<6$a70ydF18hIc-(0pBn4l-l#t1E}O(Y8{WX2c>xFg#>9tDOBfB2km^-_
zjoIhzgLBJD^~p|U>z%!(6Ay9F&HJETac?YH^%U8QB%x}@4{<4LVC-og_03<wd1v+l
zm17<?JbAb@va=sMvPiG)X&8k@d%*N(P0!=qt~`)Fp4{9=4^mBCe0f&%!@<aeU?|^`
zE0dw56;H=k{L6btEzL#T%a5x#Zoy;?h*U^&BZjqz_}HUa4PGyq{HeLE*gpQG#&E3!
zT4#D7zYM(TShubEci8iI__k&T?SFn<Y7i<=@bj-TVNZjh&b;0DQY^NtHkFs@!FC?U
zGb$>oIn+s&hR;LL6KPM(EbGXIe*?<V&)P=ce)pnnOY!nkB5xJn;`sCUfLNg-o>GSG
zH+E&&m?KG^&l6=rs|u5aTorF&AM}*8a3YoYosq=nO;9YkZ`=j*r{c!~mT%P)xH%!f
zk18$gs57T4XIwrFvQaM#QXiwYzN6_kyEBEgpnUt;DPn(q>KY_Ka&mOkDbISDbL%h0
zL%+vO`Aii8z-voo2?hsAiegU;!o@ry-~(?o+5R|_d|Nb@b$I`Hch}DOYx8V5!VZ-=
z>kDagIMPn=X`Og)>Qs8*?6Fsc3t|;7H!wL+aI8`qSDL+a$tpu@+?g9OJtEW!CJ~IA
zbw*N)FZycoc!+g&aqFL`FM~INa^@B-jv!>QLLNrlZDv)62uZ7w_>h^ZL0%BFZ3sBz
zCqz#?e@ebc9k{qD_W?fjo&CCZxE-^Md$~ifoX!qKPrD%1$6h2^;D(phrIm?0O`qci
zBIsP4gNJ01<U-j!XR*-U;H==3$SOx>5%p3)YU!X2#vu*=I4E%`5hT(qpBVHuG$2EG
zx-5F`S5KL^mw;7!&>Z}u<^N!3Pt=eN7<&&!egvp&AsiEQHm-8XncQ;2c8ieQQMhQY
zpZR1v$0f5RH~44o7)RTiS8Z*JwCZ{D`vqUe=XS+tL^nIOQ}XDQHViC&?4(FCER&C*
z_!%y)Y+*5qLY*yJrq7nDDWTmX$3vxKe5mr4ay1h(acX2?e!eYC*8N1yC~80|Iz{>N
ztlpU|nZ}1J$RbOLVSh3tJZso2F)R@~3xjp+M`ecZun`bNl)b4-AHB%=8iKgko;shF
z`6Ex%{*CYvS{nOv_};i>+EP%~?A{ZAVFfU)5A3fuHa;bL{y2{k#bbz!4ExjhPqt^>
zSXWn2L?mZw_gw=LHW(`e;6}x#kC{F}daCZ$1|u^GaPSiFd|KwZA&lD6`d9acctaUa
z`6`~P(ZoN_(r6UTMm<TemKtS=GkdkJ-q*6(evN^!>6ysfC;Q>ZAwYCqzY<T^*T$4N
z^6JQcGuDkfuNC<#<STKwO;F)lrmlbt18Z^<pJGzHu3pfqvHD6cl~yc#Xw`#h%4+7I
zG}NBc+O{r12aN`4h>1eu6U1V31D4N#NJ1{d%&hHuWc+%<7_<8D$yw;4%xG}_f556X
z@uDYCgIxfQXWHfxOk4jpt0YbRz=(c7)}yIuHzTWVQ?*{B;aK$yB7p?K3?K-J{57>I
z{|lLObe#63-=jPGRn1oW%l3IYUIzp#iSj)&a*+Fk9FQN9DIC1P%ebeTRubKrd1Ge8
zP*lkgi6ZE+YJ{BLYC#Lbcq^dIg1;gQjp;Hvt%v!hE?9nb+nj*?pb?18eFi~d!tk6m
zU91(0yzVjt!oW`BvI<Tl6v7|;ly$W>MnKIiZ9|Nx8A$>Ger;3*6`~MtT|eM927m@2
zG93QxB49AJSk=^h3aV728tbY6FrnW6y9Hx>hKkB&fN?Ez9h4Y{H}~Y;1!4*R^1Ha>
z6OX=}{1d!cYnku9T;mqK{}~SXNNI}t0zQc%8Vg<^!31BLk5N*c=1s5G8!T+Zz<*(~
zN;GF-5Vx2&BqTTrSW$`C6o_?j%MG4Wmn!eo*g+0M*N)Tf&G4aZy!8<GR_4idO!<`Y
ze2sBel~Gswy5Hn&-jg$MqFI3#hS1>!??(g7WFsnEO8x;UkVgaRH?Y72;;^S(N!D)y
z*2zgpR}+l(v_m+N5{QC6tH84E7Lw@VAkb|$8T*URgg8oYYWy4Y@^`u)ikKZoGJ-@~
zEIKwBQkA5a&nqqrsnAC@S5}az;H7#mqls?jt`;W5J{IEAtMX_IX(1>!;-DsGz)9k(
zEaAj+$Gt#U6xwcOsi`XpqlHWgVqsxX>HD33qHRR16v_;8T3*C##pWDZ0lo#s_e+a`
zK%`VtUH!|g&2hQ8>pZo_|4@J3_x`xWxb-}}`?91a@TwwS?9QfWdSv&4-TN#0+I4fw
zDscYEzVW|bXz9KJ=6+%UT_E1@q;nqK_)nianU96Pf9Lw?y8DzU`Th4{w)XJF&R@L$
zp4M(sdgr#h_?>$D_SECil-Nz%)T$edH69qV7lAkV_qhJ={^Wg+e#JZhJ&kVK7X$wE
zldl2#N0$F8#~^r@HdKBd3WwkXF<8va$gpWyu6W4WJdgs#f`rL*anp`A{|kM;bV<lr
zWxmABPtOkge+Y;YCis<btCq*EU8HbjrKMP$I%s_^E5PSccEDe3itw;SC_=}sF3+s$
z*sDV^$(w1m#A`x#-;7&1oMfAHOU5*1vki^B4~v#&Wi$9Hw;E=S%(^CY*T;J1rAm*|
ziZfoD@j<k#UlHSjdG+s-M2JbR$LINdj~BoTboMpB;UK%y9sZV`N-c5hTnOz@8%)#|
zCxV3|P&VFs#ZiD+W}s2ROwe$f#;t87oM<klPO8Ag=pViL_;itc{9OLG;F-3tg&CfN
z4?n%{Q9w%2&C1g2_d=xkjLLbYY8}w91ZcLT;)2-Dx%WG)X;Av~_4Qqv$=h{!{R?5c
zqohpNxW0b?29K;L_GMh7?av&quntkku9}z?vADi+phuyXj%7FrBjJhbk2~aMgqiJO
z+rTs7p)EQhKFZOcglLq@$e_C$Za`y3s32In@Gw%kFp2^=25q!zW?lO#QO|?9^YSzp
z7ZNRJZ3HD+V_(A0xam)b?P-iiB=8dk$F4GNyz#PWD(g_Iebj2lZ_#jz2b;)jmk4<;
z!MJPBg>cWsZ2qH105D;^@_i@+a}&E_H-aT|ZR@!p*OI?;^Z9PILCqq0;GfM8;0KuR
zy}tpsXJTUFgusXcUx)Qn9_WVcngn*ATyy>bT2&Lc>Re0;W0DG84zdUSE+T)}3m2mX
zZw4Gv{-Hxo15W+eSN>@C+|75Kv@>7LL7>1<K>EXr2UyQv7$|;v9v7S+7JQh+wY4{V
zMm;azka3vwLY0#ztgsWZqeWX$zEM!Kg|!}RmhSpUp;RLh|KgM{NMqR?c}^tdHX;oP
z9cs!$nh(4Cdc+EJ#3-CRJa`cW8cd!~VlI%>KCItsUcjw3S_=wmj6)mQ1^j!bDK}m!
zdK8w#cc1YX<lEw0l~u!S$uy><ot=L}+I5&x>FDU1KYdxadFUEM7+#iNs(*PKfaK69
zZu`>HyJNFv04sP9t>QrDrMB`(j6PfX{X;iMY7SUu2l1e0zh^o|cHC+)C>Y4`C_<th
zH5ZN0+B*JE3*b16MLg0rM#@$6j(Y~@d8w|}OOh=u8v*Ki<PT1nIXRtu4LXK~^Lnq0
z%lq1N_bj;32w%6vBSnAh4!EzrrgDU6C?Srcy=}3`H~RA$N>p$mWmE*MnYROF^Du#5
z>_9XJkmT4PL^{r}BOMKByn^_z_Z(<MrT~|+W3Q5wAwrq)9k(A2*PTv|w%5F~iKr3K
zD5_J_&v1(&?X<&xRti08Ej+}jW-y2Z$I$kzN#&>_)<!gce>pTm62V<=c5GMx<*Abz
zQ4c1tyYo5W`1%Z2rGqq)cIu+~!<S^wrQ_z58Oe2X-LVDps#bhDP7DFNMH6@_{SOKZ
z5}z?r4Hg~QA|PqjF%g8L^#U$o{e%cKTM-LUxfrf^0C5-M(Is?Q)u?%D$Aca~$a&6%
z_+62B`(bqlASlx5f&xIhEatKIt&JJzK%bTrH#hf=+igGj;~DAu6;3`rEwFU`&%XBD
zX7}7q#|K`fwRG-)g}jE5KWTj5WSpIsr)s!2JTz2VRyL)-36|!1f%J!8ySq<o^<HW|
zVDB3x;957H=5&1i0bAsDFyDT2ynHjN7I^-$#ydRa9Gs});(xwkR##Sb-cC3_-cAK|
z110z2CYlI45y~Gp1f&%XjOWkaHAu&<ePIsR7ps!WU_8-Tlx0V$7BdQqoVW9=5p(Gb
z$Y`}3A^F7x!^UPo;-l`J))L+p*brPP*JRoUju5-yPE4s|-FIKjkNbx>w<~qW?5p57
z%Fr+pzom`8iBXSb_tMRVyBIlKb{fP;PZ}Hew*BW%>tTC&%SBpA+RlX!CE_AH3af?~
z8|opCY{1uST6ms4G<KYTXG<-QK(JOZFI4nvVZFO0fFd0RcoD;&)StB~?hlaTn_e7B
zB@y_fxnK)JB+}4Ib4qfgberFyeBB{~C;7YrsyT3?SNl7FaILas`S}Dycx>T0a|Udb
zNL-%<cv%2^`&Q#z$8ah!+9n2*dI~W!IWMgCz%dn`a=%Vr8`ycHR8?82!tO;NZOoaU
zfewk#!Q?`1CFDhi6R%rw&sj=E_b$-{wPSvXo8fyWr|QMS*X&*z*}c;w@X*tHAPTUs
zDAp)12K{LH5mChyOAG5wjCQk=*lvUg4a9XutAE=f)txM2bF4f~s}9bko&ti}8e!q_
zrO|vij<tHZ2T?||W)Zma6fsB*P@sI7w=2<T+Z@V`sk`hGE69&j4+%9uvJoK2A*t%B
zmK}sBmCSg~$JNd57e7BExg@<TApFog6>cpRJpdWGOY~?=E-0uQ1BYO_rkyHZKL@Bp
zK{kVSGT)meGzg*-oPq_)SEBWItIdwf?g4HHPBda?!I(Kho@m(Q-W$O{dO2|j12JSq
zzdvfPfV+G5@kQXCG<jBLCJ{05-6m#GD>!dGOxp||dy&P?z@+gJaEuPxPL%JyZmL=J
z+0E4tAcn99-NKyPcGBoUy6v|D>0MNBs=J>AJtz=oADI3m%mV@H+tm$7p{FXLi{jAm
z)OXRbWz}ohu?3)W1(*SQ!N_Df#<#xR@cdK=aN^+beHEcX$1NoEC1oa{Nd{euK}rJs
zvtWx^pDO9+6_4rjUjlLc96Un;aX^U2Mu`;h;RA3?5Now<4~)TvsT-L|MF^l0h)87*
zl5nv^oqt_nO|Pv2At)9WVUcnCabWsFds!jtTilYOl_0@*QY@p;@zeko4pzfTq2Ue;
z2}53zCvn0GD5LNz;AL`vugJ}Pm0U7Cm38#Y7;O+7%O}}%zYur0K7L7+X#;;I=7!(i
z3USYr4Wi7u`oBw=kJJ8K&f6`iyWFax9-3ZC_W`M*oD;+7$$7h}upJJJrUhHr4X}cn
zu*!dT*O-!&fHGQsPuCc*{H~Y<ScxdeBzAs7ElJU5-+0Q_&;li|DIo|mp<r)}uSy`X
z6qJ9(LHq441X3fGNVA&Q#8+R9q^dSGqfH}qiT)WbQ-djP3pU1WfBg5af6+7q`a`eP
zk4IhxjFGm<M|i6V<_^I1M%3%ZC>aH{y<{u_Het<<`dL|td{e@8on|>Ck-g^_Tp#wu
zh`Qd_*ZbW#t>1w7-7^;;t0_AP*gtw#@P?3xs4dWrx+FzS?AD@UUhm+0Qy)fH)K9m9
zHv%pjy$b?e;ie!~3&eMB`xq6xX+0QlmdVM;s9l&GAD3Aj2qVUNd-yDo5{ZYCx1QG%
zUt2XRvriK2b?v*-L`LbkSnsq*C={yxX0V{(Nt0C?zjxKS!tfCw;DA|)<#c6->owy|
zAGP>6_!C$yUb$yKZ+$FZJT!hhPlwweJ@p=LI|#^icP{hl$VJ*d?Ydd>JZ_(4HohI>
z@BST&DfVXrxODw97+t*SzUd0OO%J-gstM|vw#iuzyb@l&oh*M_wn22h3%Bu9N%(j%
zwXC?o$p8H&|IbGz6jKa*w3*Y5tDt920!Z+Iy-+xQ9B}@|7NQ&=hYHM^RG<z)-dLr^
zOsr}8NP=%ftyf;Xv9=Z~f)b+A5`V%<27&sE8MCEFp<qwVUc}Trsm|Eg^g3GR?R0Ia
z*(Y1!uwA>;^2u8zn+@@#3<M|x*ns6_j{9UAr&W6Z9?k9&<8QYZ*I8XlROeRSQFEji
z6s%s#MgHJ0nuywI8<D%cBB@AFE`b>>=aLv8##?T220{xtJ5?&Pf;wV|;fbJu=C})I
zwZIUs1)`u$<|2j%Wt8k(s$p#VCm1?9x@~}GlU~<eVp%47+*Wb8`|R&&P=?sv^@E{<
zriy1&@QCW~g&$NSyI#KMGz&24jZF6l$6;!W2C4Va_p+?OjNGmX7bYqZ9AO)h=Q?UK
znn+tpG5=Zy_0J3)k?9PXx3)Z<EPa|Eu?Pf;UTrPqME?<;hyYTYl8%1{DDl1NB6U1Z
zY6KMuTyADgy&unU&7AT(jm)N9-3jkM6V}Txre`Ok^Ok7ZF`xj$z@o^=R<4FQxOv5v
zPCuUA_Ea#tqj>{}oy#=@=$!J;_L*3SN!7!XT^=s%q1%cS_cC=O=a!*E<Ja=@s(kNF
zbmP`?s&9ncAR^eQMSHj75dA~*j(gh*xbSOy7eUG4Zg>MK0gW*yW_b9BN-jNx2HWb2
zzdi!?<+Xf%@EMjbUq|Vq@G6?e){U{(fp;er_A>DPhbUPa^zSj?{<`Esro76WFPqe2
z64SfcAAoMJcazp0PTm`P?SK=JCO6%`|J9ny^h+bKe#QT6go@ves_|VC=07|2-xdCM
zQ1b|!Vr%?&n1dd7gSxx_f{GXc3jCTn58l<ZpBYB}83N0?Z|8}}dcu2+7_XkzEq~w^
z|At&EJU_{QC+bD;9CX+B)u|KC(`xSPld|G8j}auzl^GCidx+aIVE6}$>d|ES_?9>w
z)0i?!HTf<2oV2N5nd~7HC>n21fKid4U>ln`p*f(psHv$z*&`{8k|beeo@ctBmibe4
zcs*TQr%H=m_~;ceF;hAWjFae9v9Yq|I!zr^#`p#-dJ}u(*TnW=OG1;U1)pn}X;|~t
z_R>g?_Wd{mMKZ7mc4rFa+x?g~wYO(eHd{WyUSJh)^rz1{hI2^%=kLmK`V^iYb^}z4
zzRwui>(bu|P8=~UKt4^~@fDogg>!=0g7?Qup6Z6`40z|a{)7?04`C1<IOP;|){9J;
zXC=>2Uhn?JJ$#LbanRlolGZi`o3sXXM6-icF{sPIf@My;j!;0fNy5pUNnsgii?}?0
zaa&Cx^NcD!0LiK~r31g>?`5zFDg*^(@=!^^c3xDsbw%172o?eZ1APT~dU>sg5+n@I
zc(V`_7R}^!cZ8h6n_@YMDH`D^P%>~ZCg-vs^nu{85nNS1@DmqW`dG*?5k9&L%<_I0
zBD(~X7Lf~kRRYyu@q4;a{S7DzF_j7FPTbod-@3Qu<GK15ZFN}F-~p+T>(e1HAyz<H
z3O?Ni8n!;Ky2=yvt6rj`X7#aY0uFDw_JX^>R`Lx4q4`YK1yAzNAHVt>koMm$LRCV~
zB0)TC@6v3C^}%4$Tky18b8MG;ssxwdrnIfBtY!#6`xMRIaSj^MSpov2{3(!(cD00g
zbO1^-XW!XuGEg#rdeqsl7vx_cllx;qPQYr64lJOfr)L+MerkS8*sZLsX9*Vny=>hi
ze5yvBOky|z^tS3m4;<)iRlF@Mw(rUbRxt?8!MUU+`|Cv;0%S&W`C_}V$;-*<#QQLE
z448YsNqC5s9XEY8&7`&Gw7{sFtJ3I~Q*Q)1aCdHX(%~OHLH~eZ+c)&mWqC)7C~Q58
zh+|eV09I)4p-u_1r^9yKbnOF}L`)6edMK;oT@~0*-g#4+YVEwFK~*-x=YpY?&f#3K
zIS(reki?UU`L`|~p8y$%{n00E*Wox)rSi;hTOc7J;o>7F;O1HnpG*=aH@69{&qz-Y
zU}z+9?R9l?I=bd%v~P61n%+ZQ1IBmnPuHR!uc^&|+jI<vw^)AJTfC*UFC7-&XN62q
z4+mI2>J~Q{>FWOAvTp=H5jY=7V@h}S21Jk3zBI#qJ0=#Vl-G01WR)I%)>K3_G(23h
zGgf>P)lmA2rFZtSRsx}sZi8J2)v_vf3rq(*y_(rx3B77C6GHEurZXKz-mqceuy>5|
zjIAR*=JgnYmxe;NLW&sUE>=%~_{bN&;jo>*ar6v;1#S#lnrpQUm^z3MtC4CN$=)Sk
z9MIu)yhIbFU$fZHF&8y&SRjQCk-&gL+ccBh-Q6=)e(8N_eak(0C0^A8;<2uLb0f8O
zI{;1v*$|i<7#OgOWva;%h^uOnioD9_pi-j8TUcaFhe<CV#NNhXiTT~dRxwT|pkQN+
zZzDVK<xc9+O{W$sfn{+y7)L71R=4E7eDYs2gn%h>_T4;Q^!mFwyYF-~WCP@h#BXJ|
zKUTl*IxKYdDP>=}J9m1|s^ltd5d13oYbr6vh8*q3!XH0$OXfUw890?CYzP-zgAPl<
zRJ*Z9jAe{sMKqB)_y7@Xx8NY3c?403%8VreO{Hu1)r)9a6H2qXRl+bN2S_H4R#l_r
zXVn@q%NSBn$E+k$nL7a4Vys+0$m6?5#}=J>MMl>Bk!%U{0M5UA6CZIGI9V((!t4!b
zX&|jb<^$&V;oqetoJiwTe$#mM>AJ4$cQ_r1cAvc+`hK$7k)J9OS@?PV6jz-uJ3y<v
zHgETMwW9@$AN7}#TbtqITj&-TxcxGZM1kVUON4WkVi9T`xfl_cwZx;~M?sS`wt2bL
z@qnc_Yux+in3(CZO{qMrdWgjhx6N@c^H2>==&+hBD}a{u3smi}w+Xm?&?p}1a<}0f
z$3sk?9ryqXusD=R9S=vrQ!oc@<eTEI3-G6t>6Ph{&k4VU>l**A(D;m*7+k_Z1$MzR
zeh6GAO#VVA1DN55Kyq+9Hzn|T%FVpZJ$PP+kH?g<9d@009cF4Gyr4gCPt6BU5t2b-
zPg=8B!N!h>i7CEox@-?hM&^=YS6qQ0-;@N!Lx!K_f<Ngd@<9VXnEZV8WxMmVkj>za
zF8$R{ScO|hf8^#X^zA{;1E_i*R6Yc6jObs~J)=5eECIU#P|Gy|?1zNrpaRUE_~qO0
zGwf=x$U9VwX*B7>mJaS5rF`@Ki(*b=*jXV26Ps06*3?3H-mxtzDr%x*edd%4yM*j{
zc4Io+qWIx655OAKZv}fw-v8N(H*RTAuJM_$2OGc>Fw@|CI|Tq0PtHXCzbAsx+72%H
zQNuu?W>ML=a>{81OM7F;jA8>Bqm`0#C`ZKST;TzAi<y@uN*5v#t-4KGLyp?-0%E9n
z`ISC!*$R|Q+Z49}n?M@HKEWvquJU&}pth>6jHt;qs^MQ1vx5;szHyc9@_L$2XFCg4
zgoWY1{8FluO4Wx2YyOgA$CthP8m&0|$GqLVUUqYO&%ySZM!9Ciyo^4fwqG7Q)q5RP
z!VLPtUJE>>(WJ|MrVJc787f3bcs;eAtS+_|pp$`{PWWbxUKJlmnLjzL*!2OhS?9Uc
zIY`vXR4K(um9y#mY7gc&93s9`BdU(K5D|zxXR_jidpE8iw+n|)#HmUmKp8SQw!biK
z*3mi$Z-laWFQ(Qi{o<_;0uqFfgXWjpBAR(G6u#<;jue{WW@=incvxc0&j_N6Ef-o$
z_H!}{UPMeYM;5<}J8bJ!e6<uG8*8|vzo`U{Ye_7D@38vM_Rm7Ua}gv^zQOKzp-^k}
zd4pcj?XSu!2x>yI6z+RkJM_qy(5s9S#-57E0xLSB{Aaa@0b8!MVzY>P`VL>p$VgkY
zJmRA)iM<b!TX;{LvXwekks#;<+7V$kEW|}k3)z$#Q4AQ;tg$ahtwcVRolwz42uX7R
ztqZ6;wAUPe;}nacEMJKcS8p}uQu^v{y0nO`KOx0E>OBPDF32Qev<xT!BS9wkuPwAX
zD;4xM+SuS*OwtPG*A~b~pI)oo0e*KAdbu?Sa8%T_5RT3+4l%KAMYU{!I579LuvHDg
zLj1b7x7QS;kGv9jwA#TR@Ee?SU3c>}-IrsBK3h*kpA(3=nh>q8c!s@xzjm|cciIJd
z7HzSsay3%%z`sx4;35qHq>%BcDd4q)?v4fU=A3SwQ^BDB&ca|QImbpsu~vm`)$30?
zKU5cGwj=Uvd<>#W9yK~vUxa{E(YdIbfhb&867o|L&T9NR7@qw;9h^_Wp<6urMR|!K
zP@lXqqx8y67~_UvK+beNnTk%M`oz0b$)@u}ZHQpIPVM8B`xkNocba_0FH?ja*RHqV
z_>SS!7~9|e4C^Xn)wjLxgazAwOVdSiP*L^Wz5*EjE&?<o93s)D+7h28yu*xrR;HSp
zm76O{q-I}=Lk1U8B+CCgsYns%f<W(R*#g+{qUnrS>(3Uj`k!HO_5uAo2w$TF7i4=0
zsS(er*g2;uxamR%>gxg1I}MSDgM&79n@5jYaD6L)TGNU&y*FDBASP^!LWgAIF@np|
z%IepjOg_q%@fN67=<7Gx0v}*PgmC^$u+WUM5bWWxsHm~8p~(Da9AJhdMMHj9f4L!%
zW;*shBoz5$Fl#%H!I)5-`<H?kZCbKVQ92sVgOx=&2_h3*wDgRU^gJ&hZzD)}P?B2F
zAyAcIiP{&`R5OSl^N5vQI3O}336*eP1=BUeFcC!{4AStZ*n3olk8f(NSrl8nW(tw&
z5z}%j*5FXW;N&7z=)tb$lj&7cQ)@XeT=rz}l5mC4IGGjUklp!|@h!5YYx95EUjn`9
zWX@;dJ%T?rSvczp%0hKaiUMdQO^1;Xbm(`TJqU|%+}m<ZucPlk@s1WQr`O0HHe%HP
zJlL~69>C-%D4HCr`=Rb0Sl^&}B~Ey<pqAIyisIh5+XTSQdlGrZt0xS-9{zE@CeX9}
zoS^$Gd{?QvwCDYyA{)Vu=&8??yx4gnP;Y*d#(da77KcDLH#e>8a}gj^zIz299yc%_
zH#&E0cRIHO*aP;JXK5GvUwY?pVx0k4G6A?e>`$t{3;06NZagI<+T)~+p+n6>e-frD
zNCN8N?1{;1>q_gSf^Uw<j`NxZd<_)~-!(K@vzg>Mjq`y}1%S-BxVYd?UM!26YcM;;
zLxGF5UC^3fJ1h>)Dw9Bj>VzHF>RQduX?k6_7`|Wc4gjVsQjs9rX|=G3Bvu;xIvhKA
zY}-Ln$28OM8b41+&IBScPGy?)#@7}I^gxne)So|gR*aYVZWWU>f+(o?1#cJ(_+Eg3
z4bT|vb@CAHcywv#G^LTa1)O6iB;dp#WREVJnQ-GfBDt-6l(1G(Y}&xLWDDW_*SH&D
zR@Yk8R#wyAB!!6*Jj1~af!3;O?M6H8GaXQ{p=0L?c^>@9^nwqR7h2GR)Tb%$BQunf
z@9Mt2SIej2!r?RJ13{Ref3$3{28OsvG#bQJybvTwCjdXr?&s)4d2pbqKoSy;RX^*|
zEiX{jjlUccQVC6<DTa%qXz~oF`c-U9B=waLEdec4a97&O#88vX8WAFsbFn)S_UZH<
zv3J^v^JMz=>n@8nJn){-cBFo9J7a~97<PC-ips_5jWa`}s0O#BRgp@EW(eyB=u7)*
z^**Z2&LZxWI`$yjj`T4zor|dKH8IGPGbMC$aVyLcW0hKtbQo5ONMlBbcttCf{FX$f
zSE=ISIc3@mpSJDLSOm#XxB}zi+Z`fva17|>o+4FlG?azJjtyPi()B7~A!hHQb8OrJ
zfVJ}?_w;WcSbtOh{!TqLA8b74{6m%E&%ewcbgW%fPXQDEC&cHpbt`WDzH7b1B~%@c
zm7TrjLnVI>k3d~}dlt<o_k{av6_w7%tD1jLU2^=tKk?%CKc*lX)qo1}C?9!R%fctE
zTPuy}Ksf&oXzLIlo%^qy^^5~W0rg1qU+)}?jIGFs%KE#hu3`2nr@BW8#{8Jsu0yHJ
zcHu5UFlZ|55GR`~^z92FH)AW_$I+7UoZ3knF54K}2Cbhmdj&-+W(_Q1AbR1c#4b*>
zQA(nD3Oh*6Qg@d7PV@ZEm9ddJ7z;AcW-YVf7GHAp%=+B}e&qAXTL8Cw|DLhXzIYhR
z8n4KhuXCGO5dcTEsVL8r-suyo_L_EEWo@V0gF4S(8uxx1G>2RJa;09?zR1vThgE%C
zmz)Bm23oyku{V`va8O8A<q7IKoV;7PBobYR^vNa#i;mnlWvL>83ddUZm<1OTxjqoJ
z6TMJ#{?K9R0C11MK(XX)=0sbhiZFZfI`huWN1e=w`X5JD#Y<j7xj-Bd%R14no??}P
z0MSFK;>W<=!>ST$;qQ2}x?0pWkpMiGj)0x4nHd#Ef8&^F@+b=BljG$wEkC9T1j3D)
zpjx@dR5}%hRt#sd!L>|HAi<3Yk>Co0hak#BEEL2Rkz^ziWj?^6eq&RcTEyd0-C+3M
zsPci84kg5mvMlQX`+#_m`hJd{kc0c6k-553OP>D}jLAU}<01y&Xc#Uf2<=gdL!reG
zQH)eEa3DUl$vaW)wY8swF!~`!ZI~o7SaUF&p5X?&qA@k#rg`Ac4`VL()yDhKT-6@=
z05v1;O{iTcP*BD~-5HTIwqHHH;jclq0MvkifeJZPra0vQ%r7~OCo(HYE#nck5_)I2
zX5{ye9sK=r%8rTnm!0BC@OAS<<y`L1K4IaHm%t(fEWM=`XL9U`@o|5^CO!V$6%V@H
zo4)$d2q>OpOpv#Gd3gzbfBo;S=ASQsivlht`2F&<0VxGyD}tVw`i)@Z698-W{E6=Q
zUR)F~s%!)zi4Nlfj?7Pk{@u^s+RKPI7vFpc`txD^2^|7EsW@m2(D&)zt(x=<4GjF}
zD~zt57^NNdpth9r?DfCD0J<N{@R2KX9F!Tq-L<<vGP{7MCs&l%E#~@D=I-b3VRGZ3
z$ERgcq!Il8fzMYjh2$NC9D7uo!Z$RP=itCNtweosn($WB`(dt=rRMl*g`8%Grcfjb
z4EZg+?6kKvb+qeOq{F6B90uh3qJdaWqVB&`mJ)pWK`Hj<_m*w(XI6dLmXy23Q-BSa
zTl$x4F6oQ7bh;0CXJybLejqU=jfl~88lk9`-6wT>ThYMk4ySOB3A%laa=ZvrvHbkZ
zOkIw$-PL46hbsD81PN7w`cjFQN^5T_wu<n`&$IhjOL@!fXFUNm`Y%58adZxl_>buo
zk|IDhB5;@RYeEO>zj*1`cdW@ucy`bHdX7+PGiJ#>0D<YeUeQ5j62+N*e}j)HLeE<$
z6$#MQ?EYUCJh`vW>u`x{t3Cab8Pz=n`0JkrkrcRrH~BFBlHva4Phd1J4cT^+ixIS;
z>KA^XIUS^Xd8UOvFNf=6bfuRyWJo;hI{B7BF)2sqL^o&xi>&HEMlT87HkLnRj_y|o
zO1+3JH~(u(^(B<jU;)TW@1DISjRpEbEB+)tgV!SQ2oyLbVrPWrgE9Rc>z?lVXH7~;
z+hDnYE>~%k@ZyQ|urQw(cWW~M@T^xqjzV13HzCe889a_uQ!aK3wpT~st1j|-Pr2jP
z_QOGmH1wJR7k4%R#m*WEHHghoKRRb(o!|=>Xab+BLioM83ZATlgoeSNKpIo?2qOEc
zu956~QQH|@abf&e72$o|NPh*9pGgUov?(Y`XCbkUi<WTEWSUVr)IU}Yg5u)F*@rH8
zB&!40ytIl_kPtd_nU!>z#M5V}*Y!I1<69d8t}G?~fhwBMTiw7p-w$@fQ{w28R>WHD
zB6G_B7k9c&n*kfxB>nH#e0FbuN*XZvq(UBheV%;f5SktBpet?T>-zMk+T_poVX^DF
z_y88eKTj7)-7uN(`zCPQgEQ$TsQmZ!od9X2?BMR;a8v^}+xqXg_fJ=a_<J8L#3z}|
z<YBqbOYMzN^1mC4J&#ux3qDhRYYmTgd44Cl;_1db|Dpe{FlF$hIQqX)ahhduPrOv1
zAxXqVq@he?z)plpP3zCYqF#%*WmrKHA_a=h`-EP1w;$z5Mwe4!an{@1{h0iHk{ICP
z0@V5a=4GaYVgUDOT2sP3$YP|v{9^QThEaYVq$?K^bnWR1mKYOHUCiXY8-68UX|JTJ
zJ3ysoDWxodL4<lx=e1~Sne6{Vt0lFJkGkw`rnqVj+%`ayqNRmDymh=`LXbV6kibx0
zkpJ}`#{X#n)CD=is1?P2Mz!K_R;JW1Fr~P-x+>{0$ix)x&6tNbwFXOK$>5`WI&Nfg
z`)n3LH>Vjh-RW0It@lE(d(=jgbuE%Rpu#~ht;rIyeeIuz(z4<7@b0xDvt*|&aOP<?
z$ev{I*)d>i0TkkExAr7pJJJ_MyD&Y#;sTk;LQH}Qgvix?H}?9A5}7bpomhFO#aDCl
zUA9dkpyc7F>jNetMIW0bdZGBqjnGWu02X!?UNM@8n}YWFBXEd<?L48BJDI8*KO*5x
z3{W-&sHh`hzW|<r|J|;#vXVqR(7&6pq!|KaED_7g$K2MFog2^Czkl9GkO72OcFOss
zSrwJ0Dl-%df;F;}0Q-adg5>*L`9}cY11<ky4B`TkDdW$%i{Muq_(Txs)&&L(cgU5*
zxNUjICx>;$6iSf3XZ!F^?tv%A&zVpIiN{7R2{+vWjwfVuM1ZSSluj4Z%@j}Y6>oqG
znPSrT#KiorpRN)9_J=uzyCo$jKQcmzAwri!I}99DjgT3qq;Mr6OaZL3o{XcVro(A@
z@`o9q!~#Y575KL!4{?cxEf}Q)O0At-u<(sIVSxF1;;%lC`R)OX?B5erTVG$;RISMb
zEER)}?Tzm{dhR<~)_f0tkup&Ma$x=MQ?&9EkwveT=TC=l+h}V*EYjogM|5XW`1HyD
zw+ytJPih$e4S<HB#&7lTq-{6PGr7mz$El|GBIbV`CQbfSKhxPapy^Z$MsnAIpr&C!
zT(CaZ4KF#CW%4m0z!z$kg+6<=7sFG(v$%+KY+uBn^sge|83Ztp{UwXZYGS&FRV)qM
zS1a|~_B$)p=N1_fn1DHs;(^&05t16hY;tW$cMINphB(A~@-PHD$yqCTeO@A`EmX3y
z@%Hw<nBiiFRkf_y1z8<lwKIz{S4pz=!i6xsS`b7XuOImRam~_lS1|P-0W#_)+Q(-z
za_k~*9%7VMaHxrCgPEM7L~lxA%MhJ8ONdMF%WZ*`M818=797mmCKgJ{&94Wn03Y#x
z@qiZ*5y6zI1R~N}mdix}o(n+bY;7`}2ufXM)}iem?sV#SsP>i{6bMYu-c$*JA%`}%
zHehDh`6HcSqRb?wB>z6^t{$xw8G=}e6&aWgNvOHsroMKd__i&(9*#w5J%VUWG9jam
zDCq=jLd$Q@fbBC0B7OWMKY9Wdnh9}?l<iH-j=a1)zi?CQyd9~an?-ZAFW;W@B#48E
zH(Nc@>`w!hv(6pI&9Qf_=;3|Uh8-ls;M#%3k|jz?NbqrLECJ5ns-^WNAP5|Am!m#g
z^e8cn$}1Z`UVVTPn*VUn!Zyxz)?`|(=su6(gh(s&@@8GgM=`Lxr>v6d@mh#!l5lll
zA%sXULv?3Rl%S>~5V+t3MNEbnC4j^$uBQVSd;Zp`_oK{Qoib|p0>|uyB%Cc$H7(8F
z{RWdX4pEq){RJ=NQ(9!9%{P)m0$j=gzqN}zci^l9!G5YsjC44HDF1^wzz<sVnjEvb
zKT&G_KXLQ_43uaqZ!rLwkfXETa;n31^Rkm4D0-^T2&@01L3+WJ&||o16$JO6-o;4)
z2nVluG0E&nktn9!vvuNYd#KWIViGv)(JjBE{A6ko`Ki8!U&RSY@XB_tgegLx7F@3v
zRF%KJwH+o@em=E0e=4V5v*_2g#>B?HyUXIo6h@V6(Z<2PRQQb<r0yEEcicC?V*}OB
z$H79e%J?yQ)Cnqmj!(2SVcUAnDo(GOi!5tEhFzN?Edryh*?}+VdH7wX`y<dmc$=Dj
z&2<GkzypJXg?}mCB$$5kwRFqLO4~(!U$*-RkTA54pEY7V7$juai{N?xQ2C%#Qs3i0
zTldS<4Wq4eFYRtFRkg@`IZd5l8Tgr@ju3BsbYM%T9^)MCXIL41Pk<H<)*Wz}jt$gX
zd|~cjV`GEh{6!g8Hj!=vC5<rWSR4}tF(Uy+$<p3#K-RrqnoVe)ZO07<8Oi|954?CP
znZg*-Vdm!MxBh`QHcq7ri>mmLsCx*O%Q0$x3f}<fR{`tD@6A5>6-rnL<z@@asc3n-
zx%~SZ_m4n%tz41{Iz%fO>h?AR(3)DHTMYmv317I>(j8l0S(Oq>7=kFGpoOmP0V3oK
zJG>m{PCgErv899D<)Wg1DqeGz<k1w^&g+Q)!`+Rqp{^u=S*msV3eN>E1woHAlG9{*
zDWftwU9%KF>q<h2Scn6+uYiC<+|5Th!r~g9hb`rxN&W}8L^rao8|(?KsP(W%Vh~|d
z63W@YeTAoxw38jhh|kheYNPZMk9TT8heRFge^VzRM*ZeKg2f@RNI}5~QxY{vGc$cD
z4=a|!8d3nNR={cC-@r&XO!_GcgYL?L;GsbBT19aE;g!n+$N!Lw*6I%P;TJMFMuHI^
z85Nc)qwoX98B~Z*+>nWvlUIFoHM*%jLAg|duT<32q<&D>qF}JV7r;b^1hEQDdx4Q0
zkG)c$dAtvxariR#k&fNx{XWXhdg|vEch$j*$uiQ0VF{k#0}D8o5}qL)dsN03cXc0u
z+yQXX{EXAuN+4YR`@YAX!zttB?YD2=Mn*=${eVyfh%A7SZTY*SySp7XAHcLJ4RBDU
z!7SO&nKxZnTfEoU#x^;yeqG$cta^pwxCI3jWq`V{()?R}4wH>MsvDd_J<Ts{cq_(X
zLd+0~Sg``DYA+zJ;cp`RlSxtN)RL{50v7Cq6@M+&)>u5{@H;9CWkp%*D?uvh%ZwKp
zbX1fB_=NX^uKs_{Hh~fU39NY=^2X!%uUmkvt?lVrSEdS*WBl;*t<)$~7(&EqQl#)U
zv^kOt9{x?9Yz`jeXoZiDi;Ihg$74F1qsfYdoP5#u7_p_4>eKp@Q$(HxcAoe*8WU26
z@h0L-m18BV?rM@r;H+>a$N1ek9P8&3ay1or-BA1vnLN0Re$aoN9S?0^KDjxt^`NZf
zusvL=VEIU2BkpQ6VTiXW1|=ijXDB8{#bK^SnlJk`_cJ|oPY~n{v4IF+Vev~ygvsDT
zT9qOA!RTz&#YDpmgCIvj6E8cXz%4;AX5=!U7I7tnV}J#dhZ7;H))bl(iA4e(_-#<;
zL$~eEmOUXxpO=e(<ba1Mdiia990T%qH2?3YdjJap+n_`*CZS7_1_K@l`2r&+yK{_~
zA=up5(lQDpM7DPAS6LkbX%6HE@h@)s!4O*`zNZ{~s7emE4NFGlWVlm4_fRC~XtdMl
zO@NFA>bky2?Ivf5$6V@JbbOZ?8Gm^<Q2~ha;|An{QkHAl)NWOip1nP*xeCf=L>%+V
z#AgC%1MAm#zC0Saq4^OA57+2TW+)(@!K^kxTqt(kQ~J`ol9UBv?0iSlV=({tDmLPX
z{=0dVis5fWNSK$BD=#y8M`!>6t7=CA&-{wumI9-7p}D2-HWN7<6$W~zLQLx>iq6@`
zNFbB}UJqp2Cvt+C;>@7K?&}NDuxk(CF|2R#rpTUf0^Ov2VUf#1gI=P`8?`^HzBre$
zMX1lR3M<A`Nl>C4nCCj0uA}Jlbab2=QzIG4LqkV=HLN)XwARUly#U!vI(Ii>5Gu>*
zN{)qIeLQ40mmJk^UO{x_Un-bcXx$S3+|ab)kX5x+!4JypvT1f_5R4Ap4_kH5L#<bL
znFNgOgrIYtDoHYsLd3bBn9C%G*}L~I0Vp4cJ0)y5t;Rfgsi}bQRMzHv@MuVN%5lAW
zl@KBMO?C}4bCq-$85G*|S(pk!sl)y&rx(SdwN8!D{&;3aL&(ui0efqN&{djv6bJhg
zzC>g-m39bDb1s|}6c?gfD>*cUOgq@OWMJ*xDz=9zz9Bb2Sd?=2J3i=X+LIjeL<AV$
zrW*THW7_qWc<22seolB6jfzcVE^^6htGpm7U!cN)O~d5YIxI9^-wWOxVCNFHZ62MT
zh!~p3F3S7}V-&TrVjm!%b*EVcpJZ|w+bo+@^n4<IOs@&$TD=(@E~vb0`SyLq1kH~O
zS}1X>xDTE|dY@7${ThE4Pb#D;FHF5+6<+Xl6JPQFHJ+*LA>m50dytZM*bZt+W|0?q
zhd-_{N+y2}jOnl<r-B(}qc&Fmf;WKFc?b;pZx*0s*^$w*XFXp_o@9zrQYI{NqE%7>
z%99df<p4yL0RA{yX>)IQJFo~6zd+b_-U&%lHRm%~jBgutkERP&ib;Sbd2jz0nDTkp
z>e|R?WvH`@l*tOA4h)=6$9xZoduu(J1E5FNojFI@5QN&a$@QYjwAXuKK>7W|9lNy+
zf}2S%1UnU6zgxSCNrdK+y%$`dvIQ8jem=~FwpeO%W{{jIg)ge{l~rb7ZUSrv5R8n&
zoACKw=K5Sw$1j}O4Pc^LOsN1q;vD{^cf}Sm9e@adXXfHFo+K0T<~aV=rcPl-mkd6E
zQLs8j8Y9k_m#D+es2OpnwQf{5Jj@|vX;%B(L?w3<4tQ-Tj|baTSzB3we7xM#(Y$Y*
z(m%Bbe-WC1v{fkxq+gPz7m6d9_U8NCbs~BiY$ps$A(OBjl+9ag<50NtpZDwk9-jni
z%(@p(l6djE>3AdGTp%}MVPPq*30VJkStcG(HOz04{J*-$1PuB0aj2-QY>@)LhTah5
zJX!m%X;)at>Oj=C=4-!H=kQr<?%3<?bC4HQ!Etm*fg`%3D1L^(zEME!d(!>$>%>_c
zAdYtODmq8HMi_?QepPjzqQjq<X)p+M9B}PyY;0_AUz*RA(=<nYvd-V|A>(9*P5)j>
zeDI$A{{6ev0FrXajI#0F4B+Q$PD;xER3C!R1^!|YecFgf(8#C50GExcjwcHoXTs$e
zLnRk&m1*_A*oq>=oY&)-ELhAjif&zXg@=cOzU;Yp6Z*8?)YKHYGr9WU_djakzf|O+
z;@%fO0y7mqaF&Kp>w+1{p&|1K;RT%57m$SJO6RWcXEK`^1ZbO%&C5g(7FO1Y7RPKQ
z`-2A-{8~v_`7yJavZggqDGv<DkPPb`UOw^+g_*V*tp?=2vM=jX*%;iag9i=HWIq4q
zO-iH5SG{GO&-XfKI!KTx1!<BWs+RiA8s!E>LwPwl;}%?ip#b1+x@Y^WQ~?JsZxdzw
zUZbwuU0aTTE7ixsYYi5TGs=qoJWlL(B>Jp5&nQ9xAzs_M3Fr>()PeF8M)UG9aHP1x
zp@E!<IQ#qmEyPU+JHseL*Yg|uN6xAPAq_rPLhH096xLs6Ho)Ij!QOppfDm~Dih<3U
zj5?E@Kq)^^(M(3jvGD^Z!ZhnJP!}wLYM1O1jeSr;-#=j~#&;#g?Ge(iYF~=f1kNL2
z{0Z+P<mTsZF;Q!gF`qY%(X|)_0S;q{g{-J<s0_$$z?q*%aK&@AQI$8KL*oFz%;Bo0
z&Elc>l2tyAKy*V$PQD)Fe_mHtH+p-lK6C2J%AEJBW+-N)f~vihDDjLZJB86HCmQkR
z8z+k{D5sT=PaBw9^97OfT^0mdgGy#abBIhB((5;{9WIIt30zQ!FVn13FM5K2-u!OW
zt?k9`2_7x4jb1oT0CWe4ywZTLAY$+5ncB;#=<3v0P%3!&OXuM%u+<jyhUTH31SLi_
z^6H2vcyM$i@KlTN5V(D*zL%hW0Ip$P{O1C3%g1~Wnt_t9BPfuw3`vUk(Yy)G)q$5!
zPwQFpUv)f66GQ?*OLT)I<zk^+)dSi0CpmFgKgV!+^4w?oPNC(^^Y~NbQx*lr9<PaO
z0##o)UjTKKo;`GD{#MIk**^9kG@^M2EPEh}X*w-@TH-rAak=>C27db=I7_uEc(Y#v
z?V=1-$<adbsRg=!3MDcmx^Pw64Hpu6i&zrfD<L#@Gp$aO(sZ3EWCGU<CVar_z&|~d
z`kSoG>!?zvBpOhy?@r`i-2)>h`fsDZnTiF?K0_j72Cd-aUqO=;ourYm60m~dkX=~a
z2_eq}Pjhx(VNa*+kbrAsX|daDRcCi8Ge18_>oDlLA^+jXTD(KukKE-Y2I60!W@Q3$
zAiYDe(@9}^R8|N@A--GYl)f#KFN5+k<W=hfM-T%H3V$F9eq(O4N+Ali@bl*-8fA-z
zj3ow(&qGY4<$8he&f7afYvfXeT1PR5Fai4QZ6Gi4>hTdd5z&trRS|$@00m9mn(3iE
z0^QXQCG?FpY!Q5se*R)32_->pZg=l1S4)r2e$`hzU&v13bwag@lqwN8=MJw53MgR{
z9`}10D<4BfV_%noeF6$gy+eRhH{EKjK%j;C^+eg*{hA`#F<DOJq{lICliFHZfO*iX
zW(fng6FC2+rKMlFy#-PlFuI(2;)b3bh6u^@dO>2&{Lv={+E@k$>P_cns51|-Iv%h2
z8egVD5!a_ExHpnCwD@YzNEOZMw;du|+gW5R;858D!=G~qWCwLy>e$;qC09mo5n_je
z5Lr@CMlIIA9s<W;#==GWkI!#^Y_#_ki(Dh1MC-n{pOI+J16%7!2@D#~JkAJrGDOKH
zz18nC^y@eL2hl|-K!cyCv7q`shRPl_qfVqQs+M#MziHQ1!TOb=$pD1fgO%t-9i~D8
z`q$|`%P-2{?X)UNCV)x_wtHdA(X)Ka#?H=<e<x_<c~;)9g~yMd6$t}6sFnN-pg9s+
zpQvqeLl`2o#xRgWl+#_fD!?+M{7IykMBPHe^9NOrrdMV1M#MSbm$o{*^;;<<3_=c*
zhW}kFnpqRS3iF%=JtZWf2c{+msph(NlB&^|(IkJ*{B8upY-?yk8DNwR45$=K;y@&T
zkU|{T<8X1gnTAQ)uO53XUNkOFB(RSKBOo^}+`r<_M+*qo2*sxe^Yrrd1F$dnef5Eo
z0hj@J%YuKC@u0@`&`B@!QCUVtLhb(9+ckY54$$x(C*o2)=?FUSTCX+1h=xPQK!rl(
z@N%Efi`D@LV-Llp5EigQsL}vt?+~kd6S39qRHBh-3;g>h%!3IP#p#^da43QaOZ3`}
zYS>v=NE}5JAv2Yhjaov|V76r12JjzS#9J3&O6`eT^P6Q|u=)5de1^8>6D*L#Lfg%b
z!3$o}|E({TkwVe5&WXB>Vf@<&S{Xh*79J{|I9Qd*8xKdoU}SkXQ6eV5*Fy=W&lK#(
ztkL6WfM9KyJP3?SPBksOb=F(f)&jj9D^TXLM%@9H5X572d}7rDGp_vmi8QduhAF`t
zqip}{GeRzEs^PJMh!eI(V#FW_+%aOvHz`CQf=g%*UPB3KrlFO<Dkhf*=~%<rNc+@i
z^BPJafu(!*arK?9pta1<cEg0#dx7;nuA=(-`Y%+>-1Za?y6@UP0Be(M{UyIC!BgS#
z@7xrq-~08TKaQh;$1VS~$|Wh~M=DAgEX0YO#hZuIqY-I$ACXpmS!O{@4>K%OQCLA!
zriUE6>5tF$G8R_VsNtu@{hzE%;UpNO=+%|&UfO1@0i%pu8wlaC2bL=jaaBzX7>s>=
zo!m^Qbe6pqJoE^S3?q-b`RV2Nw-V|cu{}8JNj`Pq#-K<kB)RwfPo@1!Y<NMw7rZ_W
zxyd1-k$oH@sfQTV9=~nMxJh30Y$9}+4So#Ds6_nx@#VU5j=P>cJqh~tbd5teesCU-
zCZ~INiByeZpxC`tbRiH|V-AffT4_iramYas`vgmEg~;M-4BFg$5eCMA!(Z~KjQxX)
zD>;dS+-`Bo?o>WV>-&pdQjYZ#7_n?lPpj{`mbs4G*|`D}QShZXt4_T5&=1nAy;kR&
zuBU|>LuiGTE~oVEjbW^TB*T`vdX^0w)dZf;EZJt#_7U0iB5fBhQ?Km5C}k#7rd9+K
zOP&!k@#&@wx~?>~-F1VUsqQtt3lVW4A-jWZbv#E02Y*GzDMIdC)$){ay5@^+65qNh
zh<gsa+tgvGtU3$;WS`r`zizQ8*u6t9eIwt@#n$xU*4(Nam?SM42~F#r9v=tP|Jl<a
z8xWZ4nk#$;%_MeSST>=^cxE-Lu-i4?@w*hvRJXIiG-{o&7ga$vSXkd>3gdS*hmL5@
z(8r<54WZmP@rn>8_TRT@`0%^ttYLRZotMOo3s0^!emBJ&EN}PbD<Qq1OKj&HhI3cz
z|IJb^J|3e}u7P1=z%AjD3R?f{gg~8&Mc6z2Z_n4wm0fmMKv=v39|CkV5FS#LI|(Et
zCL99btA1aVE*!U2$biU@JjyhW6Ch>F=+3Kt+_2R?C#4zdUWWGh3+n=zOsa|E5jF0%
zRIT>y+eQPGOr}{J1Voh=Usl)vwgH-kSWeGpZRJ(0APxSotpC|Y_%>CS4ohAxy<HYG
zqm5G%BZR^x-BM3kQi*~7d(y$505~Hn>tpqf+5K&wZV{#c)Q^#0IfW5CH-Bz=&4J)E
z8RQ=yUova?=cPi8>wfwv&LX}T8QJp@qZ0bHq*eC*Ye-n_98GX;K=u>i`#y=JEQe67
ztd<0}Wl-F^GP62PH#|%&)9HI<S0qg)>I<yr$W>0^diy3ICW(_sBLAgmcRpM%8_!X9
z0c*6TCd(LGA@OyO*E51GJv~83FB}#dKgnicB_vig;`;Hxh7OSrf!Tb`A2!9L72P$i
zt|cM;y^vr6yM?+3&xV)LvajEbXw=VHum}{;5+^y{*7N)O<ndbqyV0^)+Xi2*2x^)n
zDUeExxkiS81XeP8Nu(H<8rj-1hj_nPeFjy2oCj+fctiqTz`wh6v9WJ0E2!9#Hx!lW
zQmN<XSYe$>?i>+)H>&9F@*LSMa(R!1C0uWz@<Z#nl7i`;oTV-(hI6vGa>9Rm`+In#
z?1CHp!t~rb>Ow?8H`HZ@PZ9x<{;MRjvtN^OnP;>gR$n&Rpjr|QtiCTYOP!ktKP?eX
zdZB<Trpf$7c74VBc5-skfe&`5sc*~ZZ8kFrnY@%CVF0no>ls5&*5DS2??}eMl{hg;
zc!uUwHJ@C_a01+UcE(a`x&mZ6!Dg7R&<4pRv-#`$9==^h?hn&?*1%TJDQi5tc)Y<O
zEfXkWL11fkiQM|l;=+QLmsdA6?iD7Ph{CK#bN=m|lU(a;XuB5?WX>}H{I92)@2A|_
za*pUV!!7mDFHvYA8_C$1i1H`~R!vxg$)2>Egrr=B>V<Z^K_y)o(^9fB+izk0Bf*RY
zEN|$BQ?Uk=Iy43qk+u<;{vT0q8CGT2c5SakcPZW7A>AO-5`wfycej9agCHQ?(%mH>
z-QC>+B3)8a-{iXAXZzM4{iV1(&pD46W9;Gnvt!l94hi*<zkxXL*$OX26b1N_1{|l}
zzID@bm{#ym2$l+vGs+IvNz72xMf`9QFluXCCdCK^|8d%hA`xVS#&maE)5?5HduRxO
z?BOr9tHFUdKP=x-sdd&G6c#o>-F|}p+cSiW-%S;%KN1r5a!y5z07U24+B<Wmm}uj5
zub`w!oOAqGjpv3M$N`wq_Mff2%3OwK&&z#KpRnLz(p~RzOy>**NWPDX4A*NYC5r^o
zB=%_3L{%TIqn<Cl64th`AFnf|CoW##`bR#}q>k@`tcFU9$r%^pnmS!B2!|8flq8#A
zfp1f@=nHx@j1;(`ii7LRrJczS`ZI;65&)WbcIL=6kJay}uHH0eq!S<CU+2&PMZm5T
z)w}<P&~6;r1hRVx`5rqF$w9g*;$=q9hs5##|0K7$;%005G*j)zZF(_}V{1>48e!i@
z?qsnmELXBqAgbRIF$m4w^>U&_bsH0`LFKbf(U{5<xpRtgJsd60Lqr95wn!K~>jz-c
z?Q`@pxU$w1s2lQ_Yl42Y((J8+8%|Vk?&EaGNjxgqHK#;DL+B({;DbQ?&fJCNtfbx%
z;@H4xiBoh9g%AA*<1~@k2G?8rVd6ovsBI<x-H9m&LAuZ<jExwxFC*{?7X+{UzZO|B
ze{wCo7+pAr^>eo4OkrWx>DUnHrbW>GW#Ib?BOp!_`xIRwY!`vHtRA4v6elm&R6IRu
zXOpXK?d^ScZr{yc0$+SG&0yz!-L9BWyDrFuY<)Im47i^kDilt0EAHNzev!tgH--&E
zc@S^FkEXAB=&{&ZUL7>|aPr`W_`%@DI7<kX1n=6Y=OUL?tE$G`;)fW1w8W$R2J2GB
zM0a3fx(ErV@}D>KkMMslG&&U!Sy__Zkgo;n(8J>o7gMHaYYmW_7z>nv#Wy#bUd>r{
zAIZ2&L&LP3_nk|tCq4_pClY^{FHvRPzwDww;^pNH={9^Z=m-KrZ@t!z3S2+(k;Q<d
zzLu2QAK+1Kul#>^cPdj{a(IXIpWkY7@n6HB5YiC!w}P`PZt31>0EwW@&ayP5zP0g3
ztrZqRVO^qpQ#Aa*GF(yuVBOdKpLRKhTTO__E~dE~bn}ZNC`}z{o?m0=i}T97;;7|K
zuEdYZ!K~DLoyL}_ZHdyJU}=BTRjG@N7P=-1tylO|*d|F)Rt=%ZSixBa&#rkAG@4ut
zK&3zZ`XIeur&J@TzTxrm--hDMnXaP9fw>YLTTvGbP8;+D^mny3PawIsT5F|PO!Qck
zH>YVi7-ot;d9Ua1&?9j7*{%Kb_;;<Y-s^Z6#09&W+W6Uwl_57`C@6`r7grrd(jb@j
zQw%b;7e@T$-)UB{#V{5K^hPdqMl+GSy#Cot-g$pU5dFK8Mw1Zc$COmFNZrA~4jy89
z1Ob{=37VC(!<aU2M)N1vi+^bqk+ZHM8A{l?M)&eV~{SvLCWWR{(W1VRz>^Yi*8
z49&W1Y3G%5&3ku8Zj^23=>Mk$0QX6Y`Mo08(2Rm?aUm~mR%j;6N84-l_V%l}5BA>1
z-BTW!AFO#~QP~-8tP_cfScVG-cX`_E<4zt95MLO7+{uGK>(txKR;gndJ_jk#`kb#f
z((gdQb)0458kKOMy$hu<day{8V<~@ldJZ7*Z5f@K-gEg${+WR07!ER|fXE6Dfia;F
zjC*K0@oj|j3UtN5vWXGYh6eCpOgd>*Q##D(CZz~O<mhPPCe(~J6bW#=eoHwd_$C9%
z&eDLfvr^Y=G3JcHo{|ct8de5@pCT8{+ThDZV4cEOLM*7fY3;;8(O@8&x>fnnrRRw7
zXJL%$T@@sV>QL2|Dev;aA<qTUI65sdC4h>2Iz6q>s{Tce!3=FT>b*_?3GLRyX^lzb
zxrhQL!=97E$BP?3TO5kLF9BeXot6MRg%>Z8{V5B#o6JddB#VmS{Dj9Zgb}6b54rg_
z$IXi8OLU7C^)63;-TeC03DfMj?Dh+u&}nq*Q(~i@w?;$LV0UVKB^EXz9O_%Q_0JP{
ztEjWH6$eRb78ODZzyNG+PYN8P(|dp2&Q(Mh;siz6qU#DfYm_%TFl5}g-dj@EPDqp8
zeX%;0+057}pR04lgFXR472@ow<w1{^hOv;-)>U>pT94MskF(-Mz0?9o#}xb)M^$Vw
zE2O_};o>+cS-=6V>%Gr%{rtfN>Ab4}EU_s42C0u{SGrUOs3J+nFzMXA7Cg2k-y0*A
z@4pabVOZx$LcG)=>dib8KDBxeEB<Hcz^fu(Cy8C(XS%l<q|nY^{=B+6PlPU_%~%!I
zFfII@%GA6wkzU=%N2|cV!~}OP8Oc}-DK!*QBf_5&-M<Aa;u)rf7})F|o9n8p9Sudt
zYswgHuE335d99ihoWl^2W1)f8E<LOe7da|>+SNe~*N@cE=Oy*ydf3Uq;q=qBGD=k3
z(DfwJ3?xRt=Jr>v3>U<GH{(;=pRL2Aqa6=D4YeQG7kgIv$tfIpw~uv)YfTqGJkj3Q
z>djbIFQuYYv{fhFX@gBzIs$<Ny0LzNsH?YL@x*FoJ1T(aK3t`oQYaH9n*SUD-UL$z
z!(3D;Rc#dso~mG{ULg+!jfB6FP9wMBeq*cOQjo-Q&PZL!-9%4MAVnb-vyFOsgCACy
zN)<IK-m9vO7;9RsxmR#U9hxrp4%n@vJYpk*k1U_UWJfBHw?SfkX~oTR!O5qM41R5^
z3^H8!Yp|~8wUYfPUaoCT+<noAzz0+?*F67(5q~rU2~cTOWqrnhes{#@>$50_X2)p9
z8C;Vz$#-@o<z4#33CA*H=n<3z`&IUCmn|QOqL<db#)`Kzh+<Y78j!a5LZ>p^ZBVIS
zQD4*wzW6J-B~ZATdz6yJD=i9^6aLs1?qI<FB4M(8*~`<~c4D5-kgq~^*QAK}!)+h?
zW`}sZCNlQzWq|z<%E$02oiv)kz0-zQzmE@JAg^_ep`@T&Qupn&ePZvA_k#l<)|{o%
z=v8BtF9Y>(Vo#V+b;@LvIhDfaqYUSf^p4#2Gk1H|q|HHzuh@8xZXp3IvJ){>$bPoV
zhAyL32TAr%vmifIP<Kgg)=1o-KN3wg$dA81BQXuRCQ9Xskne{U3#jDCNk@}sa{O?-
zPy-g=wb=UeUy(EBk1cTENKMY`wFB&=*WW*YvNHO_OZ2!uTgtxUGta;WW!Dphh4^E{
z>WLWNYe&8UA!+puO?YooU}JePATYt(x}$cY&*WzIAv%6hQPJe(sdDd<wJg=<Hk^Jy
ztgAS%A3k5zNh`4YX!X)$`1fu%1SA)1b5=?YjMcY=`0@3{n+}cu@WEP4fL)`|(jLi5
zn)s3KrXxu;yqTXwj`ZP61s=p^JSh~~4{JYHN)INkANIE5wQ%B0bJf}6-xCDQz(Wub
z2o~Ns#~M52d2d>~rBVi_LOLT*;0+AKwP7~pF=@D0&!?nPhiK%0IxgcmbVcc0n6FQk
zF_!`GXP9N0pPwr8|2<Xxk<!%b*AH*nS%#+(MaGv`R_=+=Hx;ef1dJfPnSJAGio}Ek
z6V_`1DgK?mzU1bS3PJ2t|FpTLF7eNH4dE9dsSMBmLI9@emQ^;^!L;B&-Z@v>x`O7d
z>UJ|e*f366>0UETgcG~R(?i1z#rjd?1L1>o<KNTuxYBx4_aw(51?XfP&C`V}!na%O
z_@|@m1QYr(_!xLR!mK&GSlE`YLibn%2TcW8=6U7_^YK`@P^DpBhe@h=<d<gb!t7>>
zp$j(87gAEW2xe638Vy|NTB8pnuw;6t2ff?2)J)RCW78aih12*7^_-nBjt;i&(`fg)
zs~q^xeBb8}`<GVm_Yj0{Yz{3^B~T3pBuFgI&Vbyc?(W4JJlvw-gXThN^0#)M_<gvQ
zbA>)VPKy1Lu^&^6N)fx=jssJ~*5G;y9#pfdiHKWa#iw;ZZW&t>!;y+rl^5Uhuh{fR
zAakG{kW#t3^hxAaybx~egM*QO<478>1S2k9z&w=bFr7yf-LFrxF<j#!{#F0`IN?MU
zOqC;v?+3-1u_loAy10YlL|z9YO=sLqB+Lra-{JbPJ>Jt^f}w_Gi(ZaS|7krIf9l{e
zhr!5jAvQ{c`;Y_{f@Lg+1g*DHTRI6JE%$jT)xB9Yy{AC;Vmyua;v&rF+Yhg7*h68`
zfGz+`H!#D?`))@lU-Ur`7J{@<b!#lc_8tvQJV>p;^`!tUEZ~OaOz)L#{{y{mo6P@;
zG(gw_i~Zsf@F{R|a!cFU)za4&6BQkcfJ44B<G=c<lqDfO?n$~I%tn=?RJe5~%87EF
z(@dD_00Y&xS3j}_8SNF9_C7ei+g{zjxT1cl$(ID}7tI?vxovjATiYg@e!^>XJ9FAZ
z;k8-3GAvSIzG7>v0D)G+N$gn<1KbzmqjndT@)VpL6fa=swWL<?C`4^j4a7sEMmLk}
z!3tg_z>AaOp8%Y!g+y<bQRH56r~m5PRxR!EoLODwD;7Kq(rQ?&5t}H-F+m5>JHy#A
zHKTk$-#Sd_e%BbYw?Fs6+!Efm1}*4xB@cnpQ{Hh0Lf|ia^qDh8so}t`=))U=k1Id!
zRmrgQLA>_kqfhF5_Qr*enK;DHR5r4Gf{X(T3WFV9n`IDXEl9=x(s|kRW&}S@T(hZ!
zAp*Fv8yc=6?y_hAL$i;7%8KYPjq74#<C#-D*)`gv?+_LiW&U~_CzB2W7SLBod1#{j
zb90GvpWQ^$I{qxmxg$5od|7P+cu${R%ySZt%&Z<Aobh`8nUBNDK1jjutI-=~sJ?rG
zIIPq9(UQ4c>yxZ5ID_`y*}*-Rp%FIC9~Ob1&nG7sWnW4r^sexfTAIH&?MrTLZ3S7+
zE@jxVIfe247U=Y@AI-I|YGU#9dw}Ny3~D%MDbV7iLPvGsas23nu4e?F=_?>`tC0PF
zggX0k`DZ53{l<oY2Uep2IuscmmP^~E%K^7e9Sct9OUW1%Eb|o@l1Wd0_SVDIFpvhA
zgnU1OLO8niaLsz3pDwZgo-SW<fGM68A`9&{tOWQ^Qp=Yxb6TvkB#>ZSf8@KmhOsoh
zkQ21fH&i<M`dJEehNOmm3R&tJ^;-BJx>|!Q{0rsP8G+;M%gD;e+xD4N8m@U)+epHc
z(cZ@u&%Tg)OKSvr=k+gvJoS3&vta&867oECdaHQzg(8PpvjVi0fO-~*Nno7r9JTIK
zI{U2d_j$^1SPwfb2%EX*g9;cR&}-vhaY7-~)D$q#?<X*Df?J)@IY@6&T-7{pot2U4
zMP9_@?CKO?j`}b<)%6U7)Kzuuiodb#<mBM`u*>v;u@Gs%e|ciJ`OBl~XgNoARM2}^
zt(GbuM*x>$@v#9z88{Ax-T55PD@I0IE<{0+l+k4TY&+Nv$Q;2<S6_aqW+j*qZj9IJ
zvf+P$hc(xrlh&4&KpOa~j*H@~){tO;+)P|tt7)A!od8AI6)Ri=(*vgi^1j<(8V{uo
zYhd%S8%k(90ro+5LT&Kcw)sB!XeT;W5E8tzsl4`D*VoryUs!Mlc7(MqwjcTufA<z6
zVvG?}Ft?s1J;0FosZZGjOhABC3|UntJ)T74JJ#!FrmlU7ERbWX$0UEsLSWnsj^Lpe
ztAgq$=!uRw%eE?fi2E1Z%=$=|g@(A}4^SOHJ~9P&6fVBD?9rX-RXd=pwDQ;bHzwFM
z&Nj6}_8A`8XA{RTwIFVgM)CbF2~~p*YyJ$dA&>9wg?CPc>R3YT-Vii&i;s|xLjbwC
zwL<WxDoPnGJY;0-wX>=5Hwk`miJ^<#N{Leiy}_lWC8O%(A2e?C(0b&Ab)5RKAMZw#
zkl2x6@T8G63wtcXC?s3VxYO@CAQ7DcbOsI(K)m5Vj9HHj{tfQRGJc`|T7U?8ieCVc
zbd(N$3axJrPOVJxOb}h-X4`r1PY<DBP2^(_KnZtucScO}Q{~z&zXqTXL2>H%OPva5
z=f8Hw7<u(<5x^0X!|;u!xMWD6Fdhu~qw+Q4War~wr>19u#CUVWPjNJsRLAMgkcl7x
zSn)VSwtSn$Wov8etaeP}-+;#g<`ZJAxf#4B`!#(yh!;F`p$dfgOQNE3NH5_08WZ`z
z;3yaszs>Cp`!ms|(_jKFq21HCN;M+v-3#!YP{P3=<Au~Y`HZ8%AaSc>q&tyu$|oK*
zfAV&@h}>BOL=l!@g^K9y%zR};DlCh5yN_4vo=P4%)(NWFVKsuLod}U|wA%HGjeRBB
zG7e+6SV1HRFEw7LOmK2fnmVsiN7FFohjecqA0HEb)(E5kn>k2s4U<!Xux2PG!ygBB
zl-$cXPwKZIaA;ux+!{{^$HUiGS7ZtY5xI^#2}+iz5ZQq=AG~jC=W#tnvLLzt)0K)B
zmD5-+txh~Uw+}TOa)G5go&+!v0xFI!8+{xyWJO2`x-n!%jLpZ(E4og5oZbSGc)&Ed
zJEcM4s{{<5f#Elpys;*h;h~y378Li+Q!k98ArnR3Wx}K!th47BAYcH8(m`g|s1W^D
zv&CQTj%Bofc_Cr+$l{ssxWF!fwNIyj0bzY^pTJ45HA#k2DBXLhV7GB{Xt?xuY>A9k
z=%%_BTM`)5jG_&jh*?I*&o!4Y(HKz6<!~Wv4yMvM*H#o_?e8X5Bm<$E180iDRa}AF
z(E@2putf^fd_#<CV{mx#LN#lxnF*Z@eD~f~_%3OCMbOvgitvft3RvscTreCIRQ~T|
z>j#OuC)pRfc7~Jk;~hzqukaydA1!H1*brwd8wJA#B$m-8+$mC`j8VT6bPwT1kU+Tt
zT{psDDCN?=6}8CweE?&@>#xrPY@^=7o3<wq5@X>DK4JqkZO#~^yal2eO6L3|fS)N+
z4EqAOi$4E`b!KnP#bJ*NFGx)e;f~O~`+d54dFe{k4A5+V{hJE3EVC~OjddZ_FXidJ
zeeI#kOgrmAKFEWG;|xOeVs3JLyuY2a=otau4rpD+&he;g9sazFRM$s~KHM@NzMQAG
zKRG-U-d%2NY{c(Bqu-M$`1m5ONX`-&!6~ldtPf|G+kh08g#cQNlSM=RF|?6f#M5PO
zDqmCh+c=te+rHbs2hlN=g0?*kLxL-pb#=B-wVdUm@$1zkNs{Z44nD)>D+K<Zb1ecS
z7~@3*;4kUlI{R>@sH6Ie9Yq^bV;`V2o1}Cb`;^{>BY~yDY(t!z($u9Iu;0}A&8#Ot
zcX|ag^Hj#J_Q3VPZb#-D7jgeZ>FPle+eh%~veT9aV*%Xw=h{$zjL_RYVUm`@w(zdO
z%WW^&XE-F_x$zwc+1qj63)HX-U##$_wq(9sGTsd`F@p#*<*st<F_9wIa=l~UF+K7i
zqk`f1vCB%F+$3YES&-5vGd=Vc(g7Wr%LPEDZaA&_MSWPm<!ROA^xGdLCE!mtSMCKk
z>xcH`P{%!^W6hWTux1#tX-tGcHyaG1d_~ENIi8#6P*`oeF#+R|#daCS9dL9f?cRdw
zRzn*`ymWSHWyR}_sKaY4ENobLj^DM{0&s`^2;%uB)5#CFN%}t=46C&c$Bj^@nv}0&
zCg6<Re8j;}%zo(u&<$^$ffwwrBU2~!OEkMzWBVgU2I*4fEKo|Q(6x&lX%H0xmgG3;
z0vM2{D45-8zeN*4<I%*WPhcC8iW(BI1hEk$f|M~xk|`kC+d~9eQgKjHqSu-d9F|NN
z1Pf;*M+422`x{Sm>LULK6<b2L*@bbq=JFE!!<#F1FFXY2zSfX%>#*=6xcHM3aF#7p
zi)+7Wp^?cG=|AiUGQ^TLv@*9AIs!`+`;AiF|9=!-{fi5Ul1=X?m?HO@;mzxOUTVHw
zd1s0R2kdUqpFe#Dev;Qdm?T)gX0KewFTl(a*u#MN_Ncc%Z>LMa8^3^{kV+eY>&wy`
zeL^0NgQh`Gt9O;SW4@f!iorigeIvu#PLfO)X^QsrOub=|^hk0XKMgB0#fCDWwNPRi
zv)PaOPIE70q0F-kgJ>%HGZ`fTc624<D~Py1U%j!|--8CI3B<tQfVl9GzBam|ds*(A
z7Z+|rZ55yiaQR$=dHf)D149HF2b}2)Z${YiP_arq?p_0=nw7myryMXhePV^?cPVqO
z*L|OWSBXctLWJcc<7!C%yb@@No<;To!7rpHKeQ4z4(Y!cpLMkjwxuUE48qZSt!;@y
zclzp2N}Cb;uJ9JE`gWt&R8hPY%c$NJ5*S_|m*4!$2vq*wmALnks?j3;(u-8@YTc@A
za+5gz7+vn0uwL>{OBeb*Iaq1pml#Mf@>eqP1U(w1*Q&WU5@B`#L%~woJaWTT-^qq+
zJ76VKeD*`6ET~Qz(M=$eKK!z&p3qY{jmTs>zUdQZ8_bu2@q7>d;hG(%V$zY1{bBUP
zGCdKk;RlAICkXczIxfNf__GzDs7WUEyCIShipbH_ClW%<P?BNHpZHe<FN7Z8kEP}J
z-axps4TLMUS;%|wlVpndl7ZS(w0x3l?2V*EdDRMG1gP}V?d{`hSO7%0;Lh?b8vM{g
zx>^b?sXK@@#F_kVR6)v56+RmM5~}hYPkZ7j^W#w69N20pTuoPK;TOp##izfN+d*p<
zgc!aSK+lhiWDv4=34^R=suOCcm<b0+SJo-gXTt2=UH?)T#HPKw|CD7F|B*ZB(aZ!I
zkpmY=S!-_~lGI{Jy%cK1stEBZWzV-EYTF+&eAl8krjz^nobb*22^-rMT&c-L_5@If
zXq~MZ(r##iUyb5b^$8_+J=R9k_-a{Nl67Zv_|QibC;kGqu^qdZorwTPk{V6jiY8{v
z<QwuLm>%RzI3@$Pqn{t|;JGCPXCl2mpH=(*u`ah~7ps^<NyLB@;c;r3s-sX+&7X1V
z&qdJeRZTtYkNrygw2^^P-R}rSL0|m7aW|NJGtgG;9I4SDo!9&mESRVI<8-<}k&gFh
zf9!nD;ML7Bl6(G40<&gVQN@8!?FUgw?}NH&>ni`CDeICpVnYIOw*bE4oGXCBO$EtH
zsr*gI*q8hZ>~$21(?@|vW=xc5-9Q`GRedB)6rQh^uZ;Z~vf%U}<!cb?2n4?hU;U}A
z%+n7iMdDI2=h-6yQXt<MA}U`Av*iDDJ4!vd16zW0l3IAk9}jOd2f#K1v)Ofd^zsU8
zDijzo_Q)5M5RaNGKkHKHYpeu~Lo}0%)z+CrcHJK!uB9eDfzlkl4&Y7UggQJ-E%ojs
zhG<5^7)n=~nVdDYhEQD&3B)c%DJ&m0Tespgteu!Pw)opV$7^8yFdx}2bDbkVP|8D5
zl(S)7@UwEczoqmtVxDBg_39p`We>(O;vgWQubr@fWjHK+{F-SHJ{PBtZSDK;?~(&;
zr#rMSd5gPoDT5qIvI$Jzz?#H<qgI(N?o5wFMcFWB$uf3UEjR~*^aFRqV2*tUwvhC<
zF!2DA53uz}wge5C8Q;UV76f+R)4ZFlV9?dg51AgI0nHYRY@q0Jhj?;CU8q7(7pImr
zHi1$czkXCf9J6f#U8Nt%EL3o?gQe~QwVf61{j}hjYMQz{K#PG7cenOu(2(qDAxZYw
zHGY_P{TRxFuVacO@LpS$|Hs6Yu>F5)t>YFiBCumbcfR;N3ZA@&tfvcK;9$=3TE46K
z#jN!_xzzZHGdlCnnduB{H|Gxd3i68!Oj{kcBYEi`DY3ZT*fPVBV_7k9rMM_&S@|Eo
z=Mu&zNNVE$njg=`anJpznBO+|QQC4)itYV@?sEMH)4~%34ecx4kMm%iO;o`0ma{9i
zRLX;d)S|Hb6<Wu3fzwY|eCyTj<c(UVDUSw^BWqzvDHX6216=FGRXUTK{M67uiXWi9
zv*ERFTvk_yf<V{N(F(8)i3ZV3B_(|+hhyg&7hR2>0Mx#|y819AFb)7xiIyf*ORK9q
zeJgriHrAG~-P<mu8sTCav4$U26UDt~t}iGWHew8q3rr-#%A@Iguj`M7gvVRJ`V=5E
zNc3&cVA8a&?U}z2L$G3z^07KXbdQ4iX=2N%5IZ7isloYNsSAH6tn%`C`Lfy!|7F2h
z-B1Lw7Bl=V*%Eh_MH_a$?}e<aWb%BDOIuZxw@9YXe4?;_&LDy{x0bqkhmBS`lXGsA
zYXg{4a^W#b&@^!neAf$HgcCi;>zL?W(EN+OebGvV&!)=|(WUfPWmDL{FvJD!2jODl
z81Ol3H~```h+PsU)0cg}t6N)gSzwE;EI0iUA{;@G?nWyZpfg(mF^HpfO%Z`j9FVuR
zHdFix(f;fD<W*N&dr`(#USd^~Ro4T7py1=n^~&|&!f*y!!@O=%+ZYJKy`@c5ajpVA
z4Uu?TqH=lsxwroJ-THjv4`zdV?_a-_Q-j<yY1@q|xe1c`IgU#Ckpkr_*qr$Bc6jzm
zl_)hIY|ayG|F_aUdHKIiY#t~DAO>Aa<J8g!h#0ntv=9g<1t)~xz<{noGThH1tW|l-
zOH0T4DDbf2K#bI#SAsPVUcoq(y|*iy$3oSfuvpgoQqZQx!0hXm7Gr+Akr|LN*IMpM
zE-z_)ST3<lmdSfly<U@{v8Xitcd<p<&h5x~t6v|}OjJ-1;L#iL$;Iw&>i0%LzXVV{
zwe}HVZADCLF{X>a5-yhFYm(qf+8r?2RenEj#8^M~ybfVi@qkR&HL~lsv0UfP{aZ{3
z(EWWqEp&Ho$of{iBeiGR%R{<if1lOyaaggWEghc?*ZT{1KsN3`X0EBm3u5WTo-@i1
z<ccq1t}cU)o1B3%X|we+W<R`h{`U%2HmlhmKZu9JEXptCUVI20$}TF~SsJSO>)mdN
zAtNabg=7(4NlQvVLJF>qZETZOa0LC8DBf1lwEnE|jun(aJr<yVVA(WRp;a#(-#!1d
zB8X>EuShWX`1lf12e*EjjQdH7httt`AL$lO-&#R2AyL>HX&BUAlm(83u$;P37_GVr
z-oES?J)(Ky8B_2){9o`uSy7~wJZT34!1zRS3x!EpWQ<+4cPpfmUO=j(q-}-{ShzKy
zK?(U06h;n^4U<tDkiL>s$COSg2~-`xS+GTw)3!dD$OD5MA5>BYq+Xw|szTU}Y;A3~
zx?JuV@ECA?ngtIQX4#e(NF$|lHOKXJtACx)K5b{+$AMwiEavv-&SwEc^{*WcFm+!<
z>$_`vlJK5dpcASYuvkRF!pMy6xgjj13aQi>&WV4l%eNK5udU`sfNTaqit9M1(j`Mx
zR*st=yZ`#At8blY$?v7ZqDs%=#z%RYclx14cGyf>%=8g`+>`gVnv~QKfAQ(BAlM0z
zMfW#uMY|R{wK;ANAgc^1<B{{c9*t6YD(xNtM{3rH*woQbofRBhRM;QSdgdegi|D*~
zKD!n7kLuIlpaBOd|5usCqP<!BdL56<q{g9?jFIBG1_TI#83ac1`-Eh*o|lT-{B^8d
z<7d-a?-QB>*ZF*wG-uJV1G_w=BAJTyllBM-FqQ*)XZ&XfV4x6U^*adBI}a^bSXqA&
z?N7x>#cV1!@31-jBArR$W((2rZJ--23(FV65|ZXI@LXEPR$CA$ztjl?wMNPElpz#q
zskvq{+H7X@7gR5rSKDHyo;opoP78?1_nRvYbmVWPG?Qx`_NG7pdtN$$F_{vIBvn`G
zhgP3<Am_S0aYuw=LmlFpIt)l_XBFn`bA|=3A+inD^ys%lkt;uzWP19{|28f9<j+_X
z#*zJD8Ar25prq<gjTzLTlN;&4$S4Yj1{<4&*6)8{zWi<X)U@NLX~<1PD+ja8@tK4f
z$=m8xZE$ndm->t=KoP&}1V6@Dme}~nR%?o+es;8MqU%vaea4(+#83pTJyE%<@%opr
z*H~bLaB{<g2zlJ{y^mhMVk_fk{@>YBtD3k2CZ1lR_UFw(SpQM;yxOu7!ywRD5`oUH
z*aQ}M)Gwp5!Vu9YHgmN@SV-7-ktcTm4N%fKF5idLohBM;ClJ#1uWhOIpecy^M@<;M
zgNJRT%g{YVgEyg5Y5IlJ(26RGIM+;He=QA!3>+{XheCBaf6A1qJKjUtId3&i`m724
zDi4}fPA+whd*UXH@y6<`b{CgxqyK}I)}tBH$*IoQUzA7H$$P0VY}2pHawWf;cO~f`
zr)_RW3A-s10^5SW^)7`DP1qrmPzo4|=@5a?NF;!=Jy`O$&!9jG>89*BTytm2Y3ogV
zMHf+Ka@4Y|87Q>%e_DX@(Z{~NKIRHI#(Z8rJ}~Y-_tvnD*qtJR5F*!Ba2jX|sp#Ms
zK+|0r204tVy|GoY-!vE!WIhUmfT@IXw+H?V&K%YhY^Zlx3Mm)d5S|80(;J$yVuYav
z;dAfVzlw0Lxk)g<X?Xv8Mu<zy{dD8cpQ4l(uO-JX0IQ5m_s6MJh_k)~Fogh=&2SA#
zuo99@;|JhOs$`zMj{*+t?iHsf@x&-oY2wbkXrkmgRgYoha?2&6LC_krr|tt-ADB3R
z)V3Nwyf+51un>Zt8DnW07=-w*!OlZJ=7I*ZU+%Jf1<l|M(fc{9v#I>IK>8UrFcSA5
z0Eu)Hl=ut&)#G~C#=p50qobpfhE1tsbjs%(_-&-)Lb|h6hb}NmN?<kyAC2m!U)x}Y
zc28%2GLD?n8B#~OkC=~kJ_dsx-n3U2mKBAnR@T-BpB>M%&sq)sE8ZRHzR`ftejjJP
zrcsOfnXefRoPHZRj$De<sQ7HcrJLUChzKR&-d|{8C?Oal7CB#u-_t-KMwl?`aL~}h
z7U^HSVXEJ<$G+#*7pO6@CSJnO3Yeo?8r4{&G~omrOiu4o&1X(?_x7Nw69l<_j8iuK
z=yE9T_dUWdCd(|E@?D1tBo<`YB1Acl3CPHDUYqO<CVH_3pY1pej?k54Jy@VCY2y=E
z+miI_8%zJYFwu51_ZV)d=R+Ti$k&V4;;40z*R~(Xz1wSLhydJ&C*cv6{KF+tSec59
zu>4LPfy&*GZ|Z3+j5MH~9zE*d8^5}0sJ}vCIU$Xv{T3aN@p^+f4NUJ&b<is6=jL=M
z#>2l84-MhH#kaX(<We}G;O%^e3#;yympLn{bv3x{ah(2U1FwHK^w;8Skr_hgi@jS7
z?|1=tSvVL%zt1J-1GrdtB%JQSUw&}5B0UG(^d+7vE_)LigN*M$ZpCZ-3b!s8WD{f$
zb&+(XLZINq)VJC+5X=Ck#%qTf$sSYMW+=shwl0wM-Jb6xrRv>k05tBP5~uIa!!T^v
zTq6oU`o!;rj^RjMIWIDIL0Y|3)N$snw)HCxK|>DcJd$*P`Cu*gK-0T-o*Og+MByre
zR%sgSD{E_OtE=AGZS`|N9mF!6?ko}J*0P#TX@09K=>ojppl+a%<K?r4AO(D%-t)R$
zoXw*L>j&ZS@_NNU=>#oJ<BQ5cVI4AI;kBiYpbjNPL	t{dajFrLyheb4>C%6C@U=
zZUJ2|P&L*{z(M4THysv&GBZt|G|O(B(w%{qbNJ%^*m0}`{xK%yL`lA`cy5W{f{0xd
z1peDUKEnaq?~|U+f#VwFIlHw0g!aj^d+gz1{pkV!ctQWZSO5Mzsr?>MEYf<7UIF9=
zP>y_VzyADm56b-a=8NNL3sKU!Ku!r}BrL;^+scpIzK`QiDKvwZ2mb{XJq`QbvbV2|
zrQ10RW;}*IosvJ!KmF6+I=gue^z!{Toz+%BeSzu!zlo$~ZvEqFHzv8+wNZMK8cY@K
zd(~pCy{5LkwWypwi@u2f^8H~jN_i^UrSTB2H7^3!)7o>|FT6LM5Dx2=Yt?dzkT*|R
zPML?{3+h6gC!MF?S66PS1!Jr34o>Ue>T_U12P7%{I<w!1zvZ1dg8A~szWs~HE@&i%
zJv+AxtUROE&K59jQ3+VBr70*j^XP?phhW9HC$Z*5uG9|SZpG$XKcwkbu3UQ%aS4#M
zxr=vrUV)ZZ`qs10I_lL3i?bM8Qt-&{wRqC`282$D0oC0DGi!VM@r$2*1#ONt7~LQi
z+DVS_pxMj;Mfgj>Nyt~$Y=dnzR_pf_Dd^U=Tg}(aYk!yFu|Y2i6p$?<wm*M`b!n8=
zH#E2rncqZkyP-w?88F}coUDiT!q%|jA^!^MUeTIaBEd<VIa;<$qGhf4QCf@NB~I(Q
za2k{bIx?*en*p!r#+@(SwXHO@#myv7;WU-{R!p-Y9Wbo6?&-g47Y|+0J-q}#u1)1M
zcdJ;xKqPmOS%UJ9=FI*KZk7G#3~?Fr6}8OWM!VHimKxJ?c{J;H!{0<Wpm-eGM9yIJ
zGH;4}76Nk3j@*bF44Xf7p>1o=k5brGLlF`q^5T`|=7!Z#a~b~Od<q{lk&yIc%*HB<
zB@MuS=RU_Z!z{V%hrAGQQR)BzYS;fjeqJg%Js^>Gd3jn#8N*0Y(r?lYe1RDm8MS<D
zKn1TA!QFRwasu+~xBB0kSvwh-xj~RRXlMpY&=tO-M*VZJM^g?YAm-~gUq(!Q{7NH7
zcNZ=$MM03hqh{Tz%LYXL=Q`34n)k4~H#hv_7cDPrb67j*`EZo#CpE6W(uc`_mkB9g
z{#@^AU;m->`7w8XDFrmP&!+|^1_mHv=|AiP;tTl`C>r*%9`|Z}Q%o1d9txlSK8FWE
z4ZukcC|AJKGwJ(u^7PRD{I~<ykr1E#+Wk4-Kl`Vn_6Lv%0r3OVx<u1kpf`O4#w#H~
z!GBv~k6V@1T<9RW$QLBlUADUcY0szQ7Gv8B5hIYr52l!!&#$!1;G6!jB&Zb(MA;oJ
zJz~4sT^1E!Ex3s?@C?BVV#AwDTg+dTeJsJwT-!#9!pwX6vmoM~i<Gj!iEb5F<9oup
zoKu2iG|H{|$59}gb`{J3gajHn<x9*FYV!;u+$IfqJSaRYRh<nnRJHo0EF@+*GUYV~
zza%P`eT{a;GWTwDuW=Lr)xlx;!Q8o(S0X4Jr!O8|d@uB*!a8!h128)F%jnX2H{LW_
zIipBR>D3@Cxo;-gi3P<B`Le>tRqwBw@OkY#=0u-v=HJN6DQLwah!i3dl>I0(u^i-Z
zC@~s&XW`-QesgnXY^+e*2*C>31k!Ko@b@U)69ly{FFtSff90=&`g0U<$+M=gU5e~h
zwv3jPJgy<R-yAY@YEzZzC;rx={2<A_295;VYK3%`jBkIiUdN`*Yz{E%OfeXRf5j3n
zvfCCQ)XrN*e47(mxM{9B^z4NdCi|TE324=KOgBw_2hfHR*7;@5sVvSWLZnn)7SdhW
zgC`28l-F<ys_gugrVm&=xCl_VGRAiSCM5ER>DjEvGL?Vzdxd$?KBA7$@7KVrvzAFT
zkoyCy+WJbrhbtDCJbwXAKou%tG|n!8$dTtO0eB50#_~w*<f<b|3T*Gm@ct1n!}`Z>
z`(?8$pJoDi*uWoB7R0@wM7!K4fG`g3A27)E9-Qg}(UM@%wQccLJO~F$c;oIHA>Nn#
zHi@lu?eAzoa+9yQ&5s&^Z&5`teOiT37DI!k@{Fwaa|s^naMj|UfAU@YRPL6{+S%Bk
zko$JK#rg8%E(;Zmfp~eZj~PX*s$P@R4$tv@gs&gRg^OV8=k%06E5)9^=kcfI^DUpb
z$<gSZYq6c9$5YIw)9A-P(LT=v<G(gf>rZ#SPqn^R&zQHzLlAxU>FG@DvA+;p1dqM#
zHvqJC0QQ{Ep^b&n<7TzbzcJUgeteE?cy=MKKeYIQdoB5P{c+j%t{<=~pB}*<ne}wP
zTS%5=zMc}|dtv`LN`Bu-eh=QdEa_a8>8P6snJsdn|5fjm-wFSG(_q<Q$>-N(guP??
zlj?)mOm_2%y@rK3;#b|u<cfFK^qif;f<GB{aKlb6yPP~@TF(vG6*O1if026snkoml
zQrp_rRwSu@fi<R4by$Q3<AvMgvWo`uQ3tpEizV5>1`A|3ssLD+GON`?=`rNfTXbi#
z6xFZH+5sk*t!}fVMLb99&F>Mm+#07_op$73O0hGuZ1JxxFW1hAzA`rNke96B=`*IO
zvMJ{xac(?btl*tAzh54}hWxB>G_tmxN4vW0&QEV5;?~G#Ao*a10Jm#%$a?4IZtv5w
z(~K%Gtz|XyEul<J<t0#D^hFU@R+M6^<g#&?|N3^WoMoUu@q0WK-zU?ou71z%Qn+%}
z&bR%a&U()puhNS@s!j>i<R%P`c7)gq)Ch2J73uC;E-f{YL0|(zyNF;*`uDXv1Ttn>
zj{l|Ck}@L<l)>PGeKz*+ASv^L0H&ib`vmRJzTPmkVe&08)+wl(<qVyUwcH;GIN$Ae
zZE=f$!%QBkKkr&ApC9!m$X_;jI<h<d1KRi3Y)$n0mRy<tNU!5@{@dw*&Hl<+Abhsb
zIt~;W!U18RxPMv{iUU-x(&H@W<5v3!0jk~Xn&0~&4b_oRL_xH8NZv@b5Ik8wO(b>@
zOjx7kZb^x!6$X!lCk=yV6BC2ZOv6HBti4dzQc}v)Vm&l6kQ~alw(0dHDdFRLO-*$(
zP0hu#IGuf;jI&>@Vb^*qTn|r_v&KSHInnY$R^|0`I3h56@KbpduLbhU9VtloVd~fv
zgm-Rvp7!)`=fL=Hb?tG2_S=H9GzE2>>y(H3O8Y8v0;lpB8@K}Va|<QciSR7D9f#&>
z@HUW)_mY344pL<2QP#*)_LX#DriP2&2mpV^+A4Ck>=E~uXdmi;h;M(8W5E9+w#+wp
z)XXGq#SCYP0GXU?9D3^F{`@!F#i!3quxJ|(aDqISZ9ccd`j5|{UR%kx&vrBrO2bO^
z?-^Bwh`t8&LLgowOL&;L6*!5WQ6YMdLR3D_IbhFk(x-Lr>*wfz=a)x#zLVtQ`K7ae
zy0RY*t-><O#yI`S0&@e8isyyaz4^{sq+m0{fiD}=_cKCCOG-xho8jtN9ek-XgZ7;G
z^R8gj+{q%H^2CzMFfGBvq*vi5cl{5`K>na}pt|@Nt6s0lgw`EV{4TARAn6N_<@Ufy
zAytEo$N?%A*^NI+S$$Y?Qyo^*>slR~y2JB$X{Zd3W@YozilW??0xNA(g*;cD3o}Zr
zvhwoQ4hMIVeo%iji#AyWbTy!(B8E~qFGAPThAk^NrJ3vK%Q;dkn;OI$vfG}lUWPX>
z{BUAA=<PJ%AV8Bgvk)(g=XVe&2;t$tdB^xu-+;G~3r?O<E-;V$nB4nka8}{o<Ll|`
z2XJg=Y;#1uYCCBe!A3PFrFgTa(Fcjl{A+9Y_NcpG{{tQyP%D!k!r@7<us?sqXeW$*
zpSkPm<){w*ha%LQM)AF+jO+*M4tc|;nrKf`Q`+I0)o#ilQto2IA?;piY)(q9TzD#n
z7o^)`Oip2V94I|1b_2yj060^rOnwryzP5G@j-Hk8tjTJ7{)mSIxEn07YB=G4XyKYI
zQ<YGrPPf^WYMCO1GC%kXDLoqsj*j_9dlWts2H_|$xTw=*GKZ{~bi^mTVan2EADwxi
ziLZ!~Y?Qv9LMi9eLc}A0WAf*0phobCz%wK4FqeA`zoWg0Ci@qXM-d7K8Ie_e1>sH`
zEmYnGO1nK5s~6c3C9wTn9Goz*7=O#K)RRF5;q850h)l8vKgrd}7){BoaI6%pUkWJ)
z3^k{qS!6;OiUz_!0&f^(P5`VysiF5Sf{N2K)uX$Kk?ab%{>e6W7YaQ-Qh$$MW{jC&
zcd+v#@0{R^F?u3G#Em-Q+>1p4106)3Hnv~4o{*Zi$iG+zp^J$9z8B9JbI56F`@d35
z>67u^=lD9Yo2;-KkXGFeTrZ%w@>&ZN`2Bnh>7BjYXC9;S)2}k<?4LNf#`N$lLtyO1
zwBxh5y8qxqG-Gp-JERS^Z-g&O$#Gre7y~K3SHBB3*MV0oien#EgF;~M=B_`6AvGm^
zHOnQbRqMrAm9Ji_IwGkpCZV+=TZ*s`WSS{?XKa8^bU<kT5(Pv~c^<%fWv1MMhH}1N
z(^Z5k8v(*qTk`JJn0+wc8~lG*{5ueruX1CAcr&T>Hs7I8g4rJWx3gB4xd@6`88zGP
z#-5`ZX!Ii^2=#Qf?@;M8V4)InnCOCTshsd@fo<MP!=HbU?<8zG@MkC~*WAzn^fwi$
zlol%k`=QE@9b|H-@L#yFDT2eZ`Qwx4h@^wK(mB3E0SJX+yqxv=K+PeDx!lRhxBRzJ
z7f^o%^e)j`?&B-0Hfvo<)AsPMtLp17_wRy4B-+>89k-+tO;>MKvS45`KZb*_9?(G*
zPD2R}$qsXwBi{rkR&f)&K}8zzGZ3fX$1MLQF%2tryxr+--Y*0456U%|Q_(*RMa98^
z5ZL5{SR4r+D)?R&;Byum6doVGOi|r$QX87)W{t?X|3_vo)=BOAPsStBp7ZP0bEDDt
z&vO4>g$xgaCoI65yXu!2&-l!W*AS0nojBw;b}xZO?kjsa2in2qzhWfAbd*ca))5Yj
zlPm8M*}pLZHA;sI4%LorwQX&WDwVAEDOBe2BFJs;`>bHUis!1SG8%H2@|Kz}fmlOj
zdn7?&;dFAMn#?mJ>lGC{3~_fjh~SorJyBM;GP9o;PK3<P0t_sH;|!&fmoJ1G1|P<2
z*klqLhH{~E&CB^hWha(fQKmKgZM-b8$?U^N1}3iqdI1xv8s(odcr5O2L&8L&XN(At
zj>8p3QLX>b&DTCBpmuM$zIh@-LjWbs7Woqa#ODm(_bhn*&)K$*W&e!<UndvY$gAfh
z2K^g%ypI3(41Y5vgze|2#=|3*C$pXk4_h`%Nl|{AwBrc0b~T4l*K{WmBE$RDGkQGb
zIds{yuhbs|WsjG0{K~$sWWQIcANhvh&2R!WqMM!y&deuv^etboLQj%3VB=*+d|d@r
zH!w?5rjV_8uIn%R!l6wW824{v3N`}JJjTpTFz;c`NmLbt*0@bfV&A&la1CcIuC0mQ
zh62y^I&rHt6A^?VmuaSt1L#@mEO1f%C9rPkPAQYa!|TWeM-sFQF*n6WTcZa1<nY!_
zr(5vvMB!lMJZfC3r6u>`3m;I_iKF_q^1BvoK=MrGc*XCdpxIDn`;w{4$(E#zQIOV9
zI(xj<DwH<*wE!2wJ9A~jOWbYX*Q!7}R_n}1h*$5{W)sO6@#}E0w(>1ndt>7@7+{=S
zaduPrTXn)LFtWMuwXC)m*0;Hz8DYVVHG#$OZ;70Pn?+d}G}$nu$c^;Cl9?bIagm?W
z!g#E{FhFECa<9jSe;HAY0WzdBcjaJ4Jc(KNJThPXz9HLlYiYD!XG7cymt|Bhot4L|
zD)e0f%4%SwAfT2~scUP~(~$RGw|8e_b-B-*muC~cjs5rw!jYm-q2KPqpFWD>Yth|h
zWrk1%Z3>uut)j{Q)kJVN0+z~cM<}t9HR2a&_Z&%*LX<lk+-Pwm$|@__Sy@GPBK3%N
zXjE=-|DO2pGd9<$m#Qr(W3SfDk&%#?R7*2r$&<gu8PeVouYzv*VcWJ6g1iMU8!|4%
z_Y{a0<z@pgV>Fylfdfk<XB5&v#c$htLLP4Nx6*K(2G}Q!{uE@vX9M}gYY&Blu#jBi
z?fj_yt(34u8#5dnDRGTz=B&3ePhmg1RJrgAKM;L9eJ`65E0ac^vLlL?iiWL}S<f!O
z&wm3ZM8avKZ2)5NxJmxF38ZP(^{H4!pFUlKA^}s>a`@~#?r)LUT8ir9_xQEyaaRuI
z#od5iBX9v|Rc#PbByQaHDJSfN)(+>>w(NRj>55r_gJilDoTa$8N&*Jr(s;*RQwacG
zlESk4;58HnX9Ou~Dlib}tcLCH!HbfLHP*SX=BY$@)tC*eWI(l(x%%)2dx{$#vP;T(
zQ&zuCBOa>~kcfsq;$Pi|66i;UfT24(yF76vLN08<n+9r@LMl&^{#TG6?_l3>SvdAN
zr+WN()m#&p5fgv0Ut!uwz|;|tA39&$lj_u<`?5D~eJcfIJz0I{U6~_o+sS4KU5mwr
z&aYne_9f6GAOkLX-*&2<8Mvw-8$oYN&t^M?v=gx>?=FbHcg&)pnn!&$|J!aN=QmU`
z*h3Bj=`b0ACB;v#+Ajt`1*h$4<!8V#h$S=lW`%~h;$%ul^4dAsbkQni?7!R+;6h`F
zc(%@6bCRl}XhBM1&!9*P*bW~|6%*9+3E$^Gii@Ex!H|V%k{g<un)0T3wB|*HqcbVU
zTie!BF1ZvVAm$1qg@Eb}$ok96Kel?h0s$Zvv4NX75``4P!=eRui5gSB*=vFj(9L%m
zq@@6TCJ>U21~y6Uy~EBnfwjvl*!%t4Y;UW+v5}7rCm44Wa}^)1LjKGOS8OPeef$C#
z{?`x23xZSM$Egsa2fK!0`Kjlnv@XCye~VffYollu&kTLnw0_=nS$~pIU<#DiAt=4P
znOh0`Ie%blXQ$WZb*nB5i#-XX=TlQt`};rAWzU5x^(w`@v4x4EYFJ<q5DItFr*p0S
zXef}xL+gLm<7S9_Zt&_5CEX=KGJg@Gja$dk&)R{L45@SBM=XxU|4UzZA3&ld(HR3P
z;1DG4mq=49Ade|=JK@mN#j&U=dwwS8W6dg8$5q!G8b}aClSe@{0lq_NJtCch^JO)8
z_}8aQx|XO)5_^7-)g}fyX_24J2F!o+TnI!GuKzuUtb-Va=ic@|X7I*U|M04*o{unD
z*3ez%sR3R(-WP~ZX8=5T;I7BFmk<<sSW;Z7+HD8{VZwzMv0CvX%Rzfw)z6<KA%-(i
zL+-dh6%S~s4Gq8V9>J8_tzh?yhf3pU*Gt#sx-lJ7fBqM8i~Dj6UtK2S52G;0_{Oq&
z{8|s&O$BvM1$M&-A&b?pyAy(S3TztAon1Ny#z<&D)@f<U7?Jb-FEdlA^j8v!1@T7R
zP%hE<JJ?xMBPXr;OVe6C|NZQR%0JEYKdTQ#>QEmCLfUtq*>C2BSr3jUGP`H0EN1Yy
z9TeqdO$Ew6xs&c*1BoeH{ANZ6V(}UdW4(@L^%$;~2JRd^WH-Y2age|X%w5m5UfA75
zo|f5x<?sle9f-l?-yCnAYsY|5pNo2=4FHL{Myw4_G}d&*d}&KCi1NhY`e=v~k_(38
z6i5LSF*yU@2{(g0*03C*5h>o>aBMiu-#Nm_-ocnNM-1N1?#p~U3UfbR5m>+O-+Bdh
zp=&W^#W9AoG7bA(Ls9<HFSssNTRs&|@9|GMZ+*Z^g@=)8Knf;{Ec_G_yxS{*1<}<a
z25Demi=S{Xf9C$PvGLOdM}~9nn!YO%_DtaE@6MMSdiko1=C%ccl=y+j+?;4b2J()R
zd4o-KylJD+g2BK8l!nOlQZ(+B2E^~%w<ZP_6Ad^6n*FY9UZvM$h7GGYAR=VP8oWal
ztE2+hQ7E8{(M#^a_EVLeqt)@{$Qt)O-t{@geFb9LpK@yml=DE$B}Pa()3>i8p$7by
zG2!Le9e$N^AQs459`P}df(m6r*FSOOxLb|{fdLCeb)S0&XULHl(HVpUXeERT<4|bp
zbYqY}s6G9Ls8HcJJ0&F>YM1`F2uAzrj~u4g_SHads^AAv%=6<lbh3Ax(F4<Cz?S6t
zn*2~aQT3T8O{GYVs+SDT8UC-8CyMc0O6n;uYu}_Hi?meXkVSW=rvoJ+CZz3eKD$WG
z187d$$rsOoJNRK*>|y#-``zk$kM$R1BLUOD5^fZAKp9@DfCVRC(qMsk*#QgsbPibR
z7f|U6BB{x<_;Y%h=eVTOxh1ENxr?7$6&qkS#QzmDuA+~D#}e`y%@ITf&>{IHzVzf#
zX>Ttv=69^#8CV%6BZW{2I(1NFBn{;qp0ms+<0(@8qHWY@+pj~AjAlGg`x66?f2k{=
z#iUV$HSAgbUAHRc`+mu*Zc7X1Zy<+7Ef2H2hEQaedUEhHgFG`GrDUQhAKm-{N&SSr
zjUICMDX1x;`J6sjrz~!E*MHhAnBL<c<ac1sD|;oqFXEAgVkJH;ph+|~zO6RVDPOHJ
zdXRg{z-%as&$$z@#osX3CKxxOocD4K(G5=+Jz9|>*FiS8*NFkpmo!RUJC}&Pxw^l)
zyr|QL6dcaRTO=6#rB*vH@}AC9RUWH^lPUN`?vG{k`SWK}(|m9s_Bq<`*Xg+VT*%65
z!xZ&h9vepW*N!OFtxwlCp%PHg9C`3IEU=qw7BN|kT4mU{Z5gOq%>#Q5$3+w|pIeI~
zA37?9G{nFJwX9ryw94tiV9x3i>{!>lE=F@0zVj6r{YfT4fqDC<AuR_GS1#v1kh|X3
zE|&cqhAMb`ddpZ|yIp2%fDo)ygC2af$iOI+k<Ynl5t*V?=;vhglP26e#hC(K7BTr1
z5;~hwSjclAq3CtfI2ePen2|+E^HL^g4l<$@kO-857$~?<4Gq$4uZhQtJ@?FA)lF^~
zVu-`nlg3)uKx#!#Y18#POTa8T7bahO+Z8cH;T)+32dBzl+Yy8LZm`o?$(iiRbaqxJ
z!L0VyT~xvvxZD?CF`(itATcaoKqGm+)}6eu?e(>M?mSyv4>V53)V{ym!2V`h?qL=g
zzI6i{p~}_Xh7E%M1On_m<v9#)E#$w4hL`Rv2?shK3Q9oa2_oNbk4G?QxrlAQFJJ#x
zUg>>g{S5v+djMRGT`*KpK7i;QKA-88ac{;0;88_!fpBGKF3ncUE~Gr7<R2Cs2?B`+
ziOu<<tP~iMvg6U^TMA~450iD7dxc{G5DEnn88SQ|g0WS6tigRTPcO1qZxIw{fz9%-
zE2&H#;x|OJIv6wrB9^Hl6ms5x@U?VK@_@vTPKUzySP@%Fu7gYg@`t~(f@D<}OIadv
zS0pE8FLr+H)N49;_m=V5v_$Znb8K65rx!aK|H35KA>l+~)igMgIGQS^!I$T`J32ZV
zxA#3OpUt`(S=#k^9AO7?KV2Y-4$r#vp3MryE0g<%_Uo5^Me_e?0otG<y~tX127UYr
zl!H=&jMC330K?2?Ons1z<<Np$bRuzwW0mY0&6qpm#%(g<WMLTOnB=DW;n`XB_3PJ#
znPdVnu%zfNrgkF33ty}D-)^F$th^r-AzY93c)G7yx8TmCZU22I%Jpg2rb`{)g{<y1
zm8RB5li*BZS1q;Q(tcb$c5=OAXRT#(qupKMWfOP<B_&ZBpD?F=+OrDwHa87P`olYQ
z)iThu+*!Qnsqr4UC*x*--52+B=JhRr1eNo#>1rX5H|*(7A90`EJ2`+bQ+BUSRC0A#
z_I6Wg6|2kJA|NOh9{>MnI?J#sxF`!>E*;V>-6`E6-3`*+E!`k3ARygcN_UAM-Q5k+
z2#ACrAUKC_X8fr<Ja{>=&)RFh3q$x=Q36iBrRGv@*?sK$VXY&XK`yO)?>Isyjl8=P
zYZO|*i`mdRioq6hF*F?D^Z}WKQ&-hp*eOr$rf~KcRSEKn)^8$0XiA5Zd#SbJRQ6YL
zS^C&<W5n3Q+~a4k_@VE&F_AN{2*HdDqe_yuU@kBfY{rrZ5eb|O2@<<yxFwW(Q3_>#
zc1XgkHurqfl>QP-qX+>T&8}WA2n&2k4~gofgi&~(N4-DY$iT{EA+J-pkdD*+(gL)U
z=e`MDwZ+(#*kr_4=b<FNxo_Pav79}>HR&~D`Ll=A_iHqj8FaJqzcu_`Y)_raF?o#0
z7x4!z39uwIl_vgzmM|ye?{nbca~YFr0Ls4er=RDWUp!9|zXhCBw|0T>0sh0FE53JE
zphvv*u@x8}{tKX4Tl3FEY}{_r)!HUt(f!52O&q6ReM9&4_ofn!Jz2$YJ&v}v(t`Wb
zR84>vFy*#;9p!*1udtp1mZg-5I539paNXeE0D`Lr692gNvRfY1eO8OI<3b*KW8rx)
zAa|sfFXxj-9}bC}{dN}KQ<2iJ;<!V&Kr=lN8`YFP)?c~0>gD<hpNno$3le-D8t3>)
z!4vZnyX6x<P<m#M;%>`cx8zxU$D9dYbynVA*G%r73!*oySo%T7eRY?kxfH#Gpw6d>
z3<;L3{bjJyKm{ao(1iHt-)aNJ%HIeKjtbcN#F$7+PXggTJh*B%OO9$6yB6^1*WZg6
zLq(v-!QDk-M%ss~fq}dDHP6in(<iI9*r`F1*+hxtp*k-DwT45y)l{)+21fK7nP`rd
zT^x!<$q^-FZ0Or&txn_CMQmVn0YB;r+wZ#o^k8k_l6so!lo<IO2U-em?iu6qOag`K
z?tT@OIN5FC23o0phU$uQFIh#!VxV&>d&2MxzVBtCL+(y4u|*M8aYUvB{-<Z_6}NKp
zVrj$RT>4kwY(X-$(#1IBjpn)`rJw?*Z<XYUeV&6)Q`fxTZX6%ksR`?q(CQcNrHBD2
zE_r%NF4y>}nf*X+Js3EQz^v8rch4%j=nlq@uNH$M%y&)88u79y^++zcO_4P(o_H1o
z;*QTIB~Efc(l6MN=mVrMOK;au|M&@GNeTPkIO;8O4PM{KqP_YIf!qgSMw$^uDwJCY
z1b@`92W~$!B{HEiOd4t~K?t4LP=AAIQ)%OIImyl3@$JKgfdyw!-m+s}8a)aGa=J9%
z^H6-LV1WDG#3AoQ_Se9lv#qDIXQ1i*Pf&f7g1|Yj%A57ifI3de^>5$gX&*Ff7i6FQ
z)IR;F1=DffAPULkq1nU$j5)5Zf-xTO*7BSLh0N{0Ja1(0-Y`8ErvKN$quLr9L6bCh
z?AJluNHY`304zbaPACPx`@y*To5tovz)SJX+sZI*oK3)|N_V6P|Lh`wieP@Yf?7Sc
zVDI_tpBCbK?pUWkeIH-nyYZlcs$01wRyyJx%D8QJw}g7(N*}2yLmNQupGpl}M}7T8
z=Bc|~mhrh!bBMDkb7_-v7RuLnqs$Tcg~b4L34;sDx)6l#@35)lQx!_*jtzJCYB6fE
z6ut+H4clVA2-#~qa|bgz`wHH`$lKxdqKv|3w1~qNE((cht!D*LWkDxh)nNoMxnCXV
z)F^K;>Jvex4zI>7@n1k{@z==w(s)8F-HwKf%ud9Bl^1^;4h{WvRTEA^EvzNTg8>zL
zss<$L6gp4z+7R6;&6GxW>-OW@a4=<<%k^FnZwom+q!BXC$xTINaH_mhU48$7bvTy8
zs^^~%>S|8R2=`1T&YKX?FY)Pg+NIiz3=sZ$6bK0gyYLb12o)swE}*6v0XJOLMcX_D
zDZ>4R0qNcLC3Eevjlh9h7J|=YNlui$I&{Q#he^N(!T_(${<dOgR2!tl9wr{oQD<^j
zhOC6RSgBH_-yg=FW*8j|)AMD10%cV4$R2=9ljG5L*{57l8#DaY!a)gW+f7=5amn2G
z9V7*FAf?s%eEEf`@hltf*iogsX@pPSbo%Iy>l}Q->jtTY&W?^i_6O95=4PHl!{aLg
z>6sxqZ-r4tyqC!yFn)uJ7Q@1`C`97?m(5pI743(k1o`1WMycM%ZO~P`Jbn^fuV+1o
zNZ`*@N}}<#8*1F<kw&_B&IJ3fOL~|8?+%P9famseVEcdhV9}#&sS5jGVQ+!Zfw%uT
za)9A744k?DjPupxB>n?Xo0055_MKj<(^**bG+c+g24R{g^rN$@Wf>^-DPb1&J
zZOlYkB0N>OU_W7f<vVo(E|YVTr|COwHY+z03e%4r?gEWf;5o2>>+@piD~B%zonvgf
z%lBTKK6YzSetrhhYSH1hPzlWz5+T+m*j9v>FJ=T?{C^jXbZLIJRnUr3{LS~b>>bmS
zlSC9SuK~b{(I8*uUFS?k_T}mHZ+MMK-!U@0lN2rAgwZdd7xE7`<U;~Bv3h!XjNc+&
zCOf#8;2xXr#^~I(w6=aE2n9!=d;Y^ZFg^g@OWt7=Lur*36A);I{Qqd_8XJTA)|~25
z+?Gi?(ca7|c&5P^)rdAiEA(@gpK2oYq|;AHIVsNt)7|hyNWzDzbv&-72CMITZk}ML
z1nApbpHi4NuB=B{98DQ=G}e^gJuOU9@S7kv<d$x?Q4NjH9pgemSli8$(lSv|F_-#s
z)a%^A(iwpIP{LhFa*gXM&2lHp6|%b*lZZ)LD`yh0XfU&cc^Z;2ZTGQa$U)RZA0g$j
zH{@q*Vk!N@;5n0Q7!)T1`x8x?qdw@RyR&q;+$YE|+Au=Inln6j6@GNsPOYyre<3ym
zqS7V>5h2P`5Yxe~{+yAHl`%HRIyjiL^2pdiE@g+VN<VAxPQfurL_^|pVRzXHV)9PN
z$`|Z46f|N(a56E5$Hk)H`pv$Fr()_)=l2&RX#9wHYa_+danD#;#4xSeZe8_iG(1Ty
zT#mOeole{YH-d*ZpI9{<!}<*pyttaBuR5+P2^(nskt;UqKR%}<#=Q;LO*~Wmnh|}(
z{2V|FZvIcFzW^rXqvPG@koeknk0&Po?w3qJAuLJtf6MQhaSaJEOgxQr08e9dmg#tb
z4OujTAx4FtmOmeyGVRH{Z_C^ckXgU@{WEqE+9!;n){L{mk4n&7N>J9$v04Emg}X&k
z<9`9(&7))EWupT%Nr^Zb)Y@5Vrnzj1w*=$&)5=lrp?&^47m8#m`_?re=70Llia7(M
z@YPj)k|8jQ>HTw^XbK_uhg1iY8yg$R#q9e-R~9_MOC6O;SyITT`iNT;0YrG}#6xgw
z>|2girhARYVUTbqHe63B=m8pi@mN3m%QWneE^#E4LNfxSyR(3m2A<EP?S^IkPiM^m
z%<SLYT4qphAeba_j1ibC+=fir)K#ZFa)kQ=-_)A|NL%VOQJ&td+T19C04f08_&KFt
zK_Q}Kq*iC{B6<L0z4oHLsmUYYmA-=o+G;?SJ*>U`%l72p?ZT1d`Ju1JD@6>(N}XUb
zJ)C1TCjtY~%`%bG6Wh$!NGbG*)UGURzL33e7O5brCsYa*P^&O%`FJ4(Aht^|CA=nP
zB<FRkd<IOS1C>$b400tm2tG~clRe*f2^*~aA}KX1cILnm)y28lD6qu+iICB%)0m!Q
zsdPjE580aGErXj=DutQGaO5~-1dh4m{RS#Oh^qG$=v<_yi76_rUj1WiT+wE8)q6RE
zq^kD2Ds(b)&|P`}Fp$3heyW9Lf+Z(egQ=Seof2==pG4b9$A5TAZ<tFV8VD4mNyxf*
zQpAu1WX)2_0sW`hpsX=#4sq=K0*MHyG_UI6)!eDME|3aT$?~6Ooq9s^*)#4Is|~=w
zFpyGl(h`x8(2P0XD$ylh0UWCz(M@sz1B%6X{jW7U4v-+BRFj#7V4Yb}Pj=?-t?{za
zRBTbJfc8@r3hsd}GV>C>PHD<ekk$}5oHoGV#N*$4r!N8o?y#${@02iQ5+@vGU#(Si
zrEfkN{<;DwWfKkKgw)|tMMufHh6;>hzk)OOL%x!Ae9a58wVR|k%u`CS&0j@317{Rq
zgvHJHM-3m1jvfr`fZS5>!@Wz(Fhsgg*iTB)AYd~l`8afS7x22nX2mMw>$y>O1qbXo
zeCt$MdR7ZwNsp2ed=#XYcrm+fzAzOzHhs=h4hEvXZ1+AF$X}rB=nM_%$6-YL77g-T
zzPqgM1!!PG9Qh(J?Ll23{>I*VvH`8fYVq|v-XTdaLNJMG{7l2gjDaD$+{4lZ`&^UU
zt<yNAI;h-{o5#TTaA%RaE*iUJ@OVtSHtXw?&p_r;#<w^_?A68<*5$&b6aA)Ny>z0N
zMmge#ltI_qp80~SZ+ud6E~Q)+KJi_zar7muRDg*?=bDHqZt3SNYG1p`#?H=1T)beQ
z6frlheDvxFznB)YN1m4MDjze%j#n-iRxsDb6LYKRbp#6Bu5(l^g;l<9zD=*ri*HzP
zzQ=#Wq*U-}IMDhIn`a%H_2XpvXf&ZvcD)<~Jb1B~Ud-$?&%3VtapX>Zkg~<ont`Pi
zjD>2_t&TDnVm39O)|u|L9Az7qJlkV|l081&OVNECbNAd*p#LZh`DWU~=<edeo~r^H
zOQCRyOdd$V!2yl$awDjVz&;OL9r}}~>j30O+2R@3@2j_unvB*5zF>3%xcpG6Ektw*
z5;*YcBQ<!kU<$6WB?sI2st;Lbdl_}&DTNtQg>zNFxRm$YiAb|a0dE5&ve&A67!vqT
ztgNE!hmzr!(=KlJg8lt{Ze_Nf?4|cQxo#}1>@gBWePh*pCc2gXu)b_K*DiI4{Dsi4
zZ+J_Zw{dhKkRx!_%AVdMMG;ERR1psGrfI)1bV9L!OzW<rI6K-L8hDi-5Tkr$M`df>
z?6+cpU!zNwUr|%5T>{ht<Ffp#@@?NuaD;(1dFcawzUpQxZCmit!b)^uv{J`SM)PY=
zC%SUc{Bqn#et!iH8Ap|l1$*G$MTPKTbWBzzkI@MzH|yv^T*UGqq`|D1babDii%=%%
zJ4h$#K-%i|9}8I#Y8+H`6JukQr0@=Rdgf-NN8uOzyx0&(h=aoW(9$YUWF3Yt>WO0-
zb_KLAoq%87p#X&84OmtHCa<cacPo4jO7rI)P4-B?J|hVi7RR*QL;Ju4y8~QFryzvg
zw`0S&Blp`c*Dj@ucH`QmG}+=uc@)<Irl4&Bm(^1InEkW+o12>}V|sB+Ev8f~8khx4
zhR*_U8b_#FXwJ^`iU!Sx$|zsqz<mJT*WAi+iP)XH9fJ)m1y*}ZsrQ-z_^Rm)F_wEd
zV+_b-u3M(HrVUV&>eC-U#4#4fhxr={|0$ZIZ0mfB#DpM%WG&IEvfk8kAP;V3G#z|D
z55dRJF={Ih6)E>x#M#Y@z;?hAvjYyOH~3K_SSrWnL7>|L`Vcn}I?JHy{NFy%G$+@w
zi>U4AGM#XJJcugh=3)U6A!(g?8ymjS&VQr|c2e8KLr(WePO`Y#qOjfru8dcOl#(jC
z5cWag4%Jy?#)T(@un>(Oed225KYrhXi|+W=OQNdzxu3kz!GkUN!WSW0`b6M0cWRk^
zVcA`PX!eB4hSSqNm`3|~`bFJ3wAjk9GPCSFw4Qh`1#8Ywg}JO{+~G{-5XfQTn85O}
zRFuE3C)N)f;Pn%GQhPaE=qRwUJCZ#D2$l|2Gx6b=`X>YqSDPy<?Z9scAH4B1!7*~Y
zomv$dim6bDGkOp;X<?H|BcX}sUYRBSsyNs&_H?@BDCWwc83ZmOQ7$emfiYQMcE#%X
zQvrq&DQKGQ3x?f@_tD^b1fLVAgxFlVhrrkU_eTNs-UdTiWa=Tp<WIyuP#R}uxAO`%
zQ#De#_tJNs9%~~FI_RTZJh2}-B$5J19>A^WrNv<!rlG(pnUSf=GqyJwVT2BX*3k!L
zJ)nYG>hZP--PY}BN*7p~PS}~#pH+W0uFc;mn6^{j)ElXL&%{=S5E2{`0+Z`#|9u3!
zk<xEy?6`>+thwb;UMfqgi&H}qdIVp)GhH!<>iz8(Uc?6i2XZ|U5IXpkts65rBC$Dw
zH?`uwZ040ggJ~<h>Q7?_C|f$tWOphXeu|Kwf23ZZKuSwbHxZ-y8Nn#@@7?-C;_o=)
zQQf*`ZHKt5O`?ClG%g|!ec9@I7xkb0EWjSGav^>|3;GV#*!K4HdB~*vzy9dv>DOI{
zA5LRqQ*uCc!yn9NXaO8&%AL-pH01qbUnU_Dk(eY5+ORD88U2H4UN%5<9eV)NBWmH$
zjnAiEA7KD8wID_-?rYB?c}t-3qe-{$_bnpd+L<g{-BLt@tJYlwoqgv{K}2pvrT?A!
z4s|!X+k$@S(+Wt_!b8J0MxPY0mVx`o66RBYoDLrX{cs!hmtgH1rn!v`ef+M9O#oPs
zQbXzmx?FM?n8CuB8Y?6@si7M5UV={p)^h@~QXLyJcMD9x1d(w-<ZqxLfA;mpH+L-k
zjGtytlrR<h43{U_U_6F&Zhec1^}0p>DVAdAN|ZNM!{qM{!ApQ0a&f8StB<)PHt$2E
zD}B><SMB!x=o&PE6cv%W*ui!K!DyY2l!fdZ5I@cxVGf4E77YRLQkRd}18;E~8`-Fi
z4TIhFNkv4^DOs&pIQb2hXU?W?4zZL6;Eq9-w@61@V3-rIqQt-Kb2ZyH`?<ZWw)xa#
zrCccqlQ97dI`Ly<+~vc1h5}bibmGs;K;i$ELDOREL+c=W&hYn*Uyr-XP2FE#uDiG6
zL<sZq`_z5tVu%6GLGs(6{%#ckF&Rbf!VfE{U}~awa@NM?*(SY{!c1IlL7<AA$!PVr
z7gsamw2TiRHf*_>I$(<!es~CycO(Fp@lvhHH?ZS_`<z{-3e*=3cB>g`$z&eHs+1r=
z86m=w(}RcVwoPkg5Jg2`eH{NzFMs)TiXcaW2@zBB!EJ$sKwQn-&7lbF45fdYq*j5B
zk(%^C4Gf7Gm)Ucse@(B^A!*}gZJ(?wEObWkca{<_$51R2iYmmN)JXhhQ4JY%L-xaS
z5AQ&}&FhIugK8cs?BH4?rJh)PBnX_K)D0YRXv2p?nsbeEa5yWZSv}yqL`k)WedWFf
zgGo{U3mH{v*}0r=E5O~?SI>cT=;HnhUC}Je&z?`(oyI15dhHve4|z}uHzNKp1eoYk
z(PAj}V8*cr=nny6dETMap06=zI@--Nq+Hqr9oT?IKhshTX{^S{LNk(XWUMR(rX~G2
z2}M8=*=D8We<KS&$YTweR(vdRIbDCM;o*M}_g;6#P+8vJwB>&OSP`!7X1>Zi3vZSB
z)m;r|$Yz9~_1vz%kv(B;^$~#zTm93Vo{^ErfbiR6{q(Zq`i!Fs9&oqr@-OOhaS58`
z(uNEYCd4Y4M#zUq0uTM&8c^|)Xi8Hhai#P7F-D)S70v&>R^ntnl$~ttzmNM!)JBi7
zI-rqvIGDky?fdzs(Nspfu|$N=+xwqZK38CB40K#+Nq#4OHKg`Fy%hgGMJ+W>2@C0=
z@^a_oZd)tf9%lSuem;7Cf3Mk}6Z2o1fpgp@`K}8gDZViRL?By0wL-c$xr%tU>ngj9
zOB>c^8FmV%D>*GVOYc)*mg%<n<7j<|c64)Eh<fO#NFki=wPV8A^&br38<CqCDmkBl
z^i?*oB%0w2Q>AtYoQ(DH=qor`-Z#kne`y?ZjM0HCVZJ;1`_G1cM_LK87!HJPfDn^d
zyfKaEmG-N*PELWV@9*r2n$t9>1XU@*;JjR}bHpha;ZgQxDSqvp<4I#t%)^?aRW;A;
z^>tKXl?zHVuCPdom(I^wNH|nee|)2C`6xd)i3Lj)Ohp<K3-j}*MOK+QZs4@yXnKxG
zHE_5ATg)?GyQ!{j#S!Q-;opy}*}QvS$8V0{QIY4GAm`J%-W>xZ;{8UVa`?EtB^hBc
zg9Ms+?l>szCUXSbdvSs02p|+CL-%eM!snpVH<&>qpW|*tckf})1Uh}7<KDFR*unLD
zNKl%CbHzgtTvK{!scSI0T8`isN5KR~0YS`zG1cHC&CKR|>zB85e*2*)3X#q+F{MGf
z61*ahn{oa;KWONC{u5@n6E*JlUUI|Zss7m-CbAkACi~dDm^@OVG(wM?&7gDrJ!aIm
z#kO?mK_}YQ*Y}S0I)p$P22!Q_F)k(yH>sXjX`hfZf-c5zfd9;0O^vt-TH1LsR|yG@
zA}@Wrbmj%jSRX<&1m0XcszM?cB(tLBbYKd0Dk^?4weaHLAVBuIBjcJnV=GO!|IQ95
zlwJ-$MPNqRrrNo1&6VQ>)&(Op53}lfG}W|bugi$*2)-45`;&U=s>d{eM*g_>O|>@g
z6<0PIgEu^g#weIBgUCQI8A6tQ7a36@_%8y8HDNzV<4P~s<I(Ra!#bK0M(UqTM<Nkg
zsxvSF9hRPr@yd__II!ZxI)sTdie0b^o6PB@TcVRA4^<RZJ2sq6bWgVUGx#bM%Mlnq
zG;o<9RhS-x`G~%N+Ay5Oapl>*vn;NdS574S5J3$^s_Jr0U?}CV9WDrk@I?yz5D+tQ
zc$_6pgn-$bF+z73)7CZklvwC8#hQlJKdT%4Z-ikzkc`r3vKYX@6Wha6%v|*2ChkOe
zWd&xdH>lX$_d2f8g$GCnT@3~O23>Q&OrE)Fc%mc4Y`_%mE79<gvsEV%>F6NoCOA1n
zVdCF$!^@alg^5<=L<*mTr-Fe-HavLB9jv{rC2XTMFis9g6VD0dwFOGs&-<VAKjX*T
z9)r*%BsLgBNPq)kA<)<fgkzzOpBbqa*6hcXu*3-fL1BHxe{cTX(KN>$jAfO=vrg8L
z%ev=npo&KAqY*LJq?rq=y~omN`Eb=-l$S}!ydB^l=#m-*Vt97<MXkZz9y>nUaG+uQ
z^fc7n`NNpUnWd+Ks@be1RSnS@BcsR6><Zs2t&;ga*;v>(0JZNI*v8GL|8kndv1)$l
z$2R6P7EQw-dd^)gpNEeD<p9Xu{xyP@t!pA6&{(wVep}Db(QpNT0r3orclg0<BPl&K
z>>$6>2qy%lNcuHuPvO-I;+bDrwVv<qfNeDI@cicAM-;Qb;*yW(jLDYeT9@yv{5?$2
z^9~tHNn&JZ7)WhCqi9Dlh(9FoN%W}XEW(2@+53CJtIdfpV`&+6Tqribq;<TC$%?&5
z2Sa2^k|D=LeQj}KIk)8^rk$DV=i=pxH?N(U(*;+Qiv`Vr69|e4^ZCa_Umq%D_X5Nv
z=Z?w;vOK#(+P}LH!aWL4WfF-=tIq?NN%dmoyE`jAYwXKw92&Gtm{{m^e$7Oid(C`+
zz>VOA@LM~(^10)$_vGhc<JOG;rv%2UN*hTaq`K+I8Sqpot6}y$(C}b;YImCk6Di|P
zVlvNUf$Ge-4|uxr(iA<C6cV9O6h1!j#0e~S#t--P)}ju))`BxDLf4bPvD}$Z4z$`&
zIsd&<?RFlz4t*=sMj2Rnx)a3&*^4AiKetE1`&)QbV{9yEd)vZuD-DFR+{v3(pMgSP
z@Ym=@hM@u5qDgOJx~Fv(4%fsUO&S*@p$ej=`F+|tLuHSGopKNki{H-3GUr*pbbV=K
z5!<|oEE^TYpsU|viF7toZk2&<#isVuzAaI?Am}i8;A=d23si88(Ld3p=Q72vE-qs2
z^UYrs-l)rEGF!sQnA)!G+pB?5mQj#G=FaL0)Y;axPL7T;hxXqd`Xz#MoVQQszuo~<
zW~cGi%8Kt!QY#Q>(6H{h{zcb_f^4piwGJ3)b)y(JR-lYbcQ?EvC4)p0fEfE-TBMGf
zWE3%s!aPtQi53=RYE(Gl<SNlYTrAwq%y&_=3iYd<ot?Wf8tzrGpQmq;xV;-R;u?qz
zf*&SC2_aW2zgHOtzkreia5HbJnmabc+b{mwH-l`kw{KrR@D!v}_$({hItNHNkIwVA
zWiOzlAz>!SS1(U7DU{n4Va*kHAV>T*01wYn&Hy`@0Qqu*pE=CguExbRY1Ew}L6?n4
znX`#u={4K{orXvr02GDh#r@>~4hvN&xZe6^cD5LE!Q4DBsn;C!J@XELT!F$K=I>sa
zxs2#B2#|f0*7Y#KH1Yt@>w*L&6@MkLeR+y@sDvLEs%IL37XuF}H-tiJ9OZ5XB_@r)
zKW&m?Z@5w1^iP0^E+2eXO~Kz_BI7Iee;p|m94SX`;^jWi4o}3_f7EDmdvJp0nwV?6
z<PeQq`L3|(s})(O>=N~k3n1e?*}fQyYiztVUvsG6@@4}CwC49F>5BNN@>pDdZ#_>*
zG(5%l{#Pr|z8hFr<l-A#%CpA$sAfN)GwT=I*ozM_jLbb^XD?(Wlw2qF?5F;JF93kX
z-Iy96)wj3X#kO;FS_f1YfBo@h1ZiF>zD1`6P}{G+#&_wT0O|y|p`?X)N&q^*-8tn2
zseuU`Aokp!@yEa2>UvI4*}b%`T>@PDA=ty`(df>GhD-T*nH~Q4T|z>cBDN?&FJC&D
zEFOquhG37S-9XjS=dQ0`1F);99nO4&Rpy$SsA{#Ce*5J{fjhgWM?B4H=pB*t3}AiI
zo8_^TuCJ^xdd~2UN2YM1^+_KEjo;t<WtDYoEc<!VVdRKI#H4buKXskI&QlXY1_hvT
zE$Hs-?^n(5S7=vG2}O;KKc<*dX9yIbh0qVO=|Y3ys1vxDUnE1|G{y~arSIZ|E@42e
z_sK_Q3LUFcrqEwL^VY*uO^@CUaZvyvOpU>Oic!;PW-O=J`oMeB*9Hs%3)pa414!`u
zu5%$9>J{7qmXnK44#(b+4LB3@#~_f^hJH@#^@GuX7BfrpU>zPmkXmB&0FrRm^>)lm
zuvj<f$gV=5RlvO>fi@W4ELVZlPRi8Gkd7b65t(f4qdd+8#?Yg}JK(DId9~@Y8wWW0
zf#?2P54{9kzo2X;`uf0l{``Od?7MREwNL_!XaB9sXpRT~3+I2!51}UeoCk{vftEXG
zovf(fIau%vTWX-QatXpT*k^MQzf`Y#L6*|i7fKPFj`Jm@FpD3z;o2Ax0)dkfGw&G|
zb6kN!dL9vA0_IB|2^ndz5(~ek@mRACv%iT>rfYh$1s@78w8ZW-@rA`jWT}vsI4(Dr
z)K`_*0*JS%FWFkym`i~r$(W)fM~QCSQR1v5SM{*i!?xQt(dJe5cc}&q?SZ={^``ZX
zpJ09xT$TS#G5opTV`4rWrYxSmEb0VQO+bxs`LS?JBmXn@ZJaMZ5(c$qdFH)9U@860
zA$PMW?Qo<MUz?}haU8Ha*lbld^G;o9OqHj=ycQOwDcV*2ZTQ>#I2_dZ6UY8l8L9A)
zStxx<*<0Yme$5)@4i(iVIQx`l-~6SsGtTGspob8K2%d{#`Kt2Gl*98*owrb->_<l3
zo)n<8JerB^kv+>%R4VUAQ~;9%uTX1;qvmKZLW@74P;p{&ed`X}`IM~ksqqtnv=xIc
zQJ~4L8q}wK4myk<;m?8ihoD>F7TAs6@sk`-LrDwp$HzwtJOl``NM#MvnW1l_JrKM*
zqT0ZQnU&dTWMR&RLV#Nm*oRp(brx3vZtoixja=H@q+xL{Y?Z1-QN*qqq}X1WD$
z8+CF1xNOk@1dmpwClZpbs-vlr>))>ZEn(hJ9cNE$h_OlLEI4ug&#|gmw&DEN*|}FF
z7|q~|=5S7k$VoEJiCg2zjWxH~$ZWY+iy<p<NSvctH7CS$g+{RaI4dP7HlZCG??N6|
zAb%LBb*Ai5{#O;%22O;!g8R$z30WvIH?dGiita0vv7kTnH9n&%J|vWOAyIe+YoU$0
z1=7iq@v(442U&$kW0e06b5~ibJ%)B&Kh1Frri8j%RsVrk5muf9y~7&2u^=DRn}3bo
z2OMrz3y-f4Hy;-Lnr}2ZSDe?*oFdVX`q?Q9kU~S%5TY>|Lnx&rq-ZGOB-Bdatf-?i
zXe1P9dXu)u<r0w!kl+(vQ$-|Fu!|!jCqVjQZ@pUmUD=v-I{nT!&i+36cy(Ni`}m!<
z3~|jLvORb%R6bN}x=o2327F8UlsOS)AQn~rn!6sIv+_lgTCTQ46t}X$7qc;aX}zDM
z!T3`*c{@gw;rxErM^E^n#1_NY5KAf|!LW-Gvg4vkFMYH+TSc4zdvkO1kL^5+`v9GH
znfl?oOUC<)#nokW7QV8AY742;SA1+7eTJ8sN)!-M`CX$*ez}46pLP(WJ{OwUfOJN{
zlQef_if?40P69y9O`foy1oWc|`hfBLRfgJoYPGtQKAc~eXix`NXZs+KCn|>$g2^7q
zkU)X41cOD<ijN4Pl4ywHkJ-GHYu5j*!0uR}5P~4eh!AyTubqIYu$LB<D;jvuQ|min
z^hW^@3Z~Dz8WG-$htJYF#ML7q!AB<~eM;tc{qUIZhLHVZM7z)EQ(A&Bv;N7#!h&(F
zw=zE2;9(4C&jHW`_`|o}8OPCS%%-eK<wipP?Ty<B`h#|z1K;;bdKQTtqBQ=R5V$yw
zS8m_7OEN<oHeNuw+aZu^ZmB?zCS{UQk|Yu&y%d-wF)>3N-SGT?BFdhcN{jv|tk=!4
z&_7tzH$+mxe%H2ykv|)lOHVDGAPgO;U$2{1)*DPCJbxU=&Xl2^#g>jYR1ly4ibP<o
zn%2J>clFzpxa)t?pWg&w^3gc-_m4qI=$d&DdJu1kAKQ-xQT&2`fgM2{93@xs6MQAG
z2><pAEcD)yI3d9-p}KHde(y{!Bq>^FYV-@wGUSERoOX+|G{~T9F`3x(H4mR=D*e(>
ztY&>+4@4GVwt&EJk-)sVo^qq(W-xEb(b8qoqUEWflWEBDIqP-dKfQf;VD=ann6hyT
zm$I$(sU-7(XYgN?G{yJG|4qog^={wzh8N&-z)Q2`cN4r&Q&`szp>4sz3#ZQ!^Pek6
z2(RnoUW{;s>A&0!-W{u3XRL(&kb?$a@JM)dxtF!Q$;r>(8VVzIb)V%nGBgx!U8EG-
z#)5&R&g6{f-3A&xNYD2E_Q3~C#JIaBN4;`Ji$cPRSHS~g?(6G@dCIK#AL4i0Fj46;
zFl|%E<e`XguwucYb9s<SqR<E<6_gyB1fpupvs~>;D+|Q9`ugFuR7fyxE9^(t57O1x
zt11Rt|DJ9M@bQ1<7$X=u;F9yQ_QR*3pTe~V<NBu&!9jHtv%|ka;Ye}@?fuPnR?rM@
z@GQo6c6NS5I3ZA(TE#;l2q${hh*Bjfs}~hCMb?e&&(+8Z@^4g&qQ*oYEx5KkWZ69k
z@pLFYL~I=D0>M0@q7oodYinGd5aWkWyP$Mys8>8gY7(O{PtypKhR=};p*!AIy_QT&
zpejkE{Hqv2YDK<vE3245eUq*Zd2QbR6c)wB#RX>0mQHBpC8U63O`+7f(YNd_g@S`u
z*tD6n!EDWmeT;5FDTGS(L8?CiZ#D7c4s{>IjN^EJ7QJf+Y(eAN+S+P`Y|orBtStFS
zv|BB;hE(j-8F&<A$VS%`4XS;QJ0238I6EI77@yR4U!YbEfh!qKqcY$$#Q3_YU1zMo
z%-#>Gb3kVA@Xg>$7$RJE14TAg<I(~m49O)XhsJ(v1CJqDOo$oXL7=6sc5_3yw%|e)
zZ&NQM6n#J9=Zb!93meQ=j<OkB&|v3}mt<;E3X@M`x2h(cEf{%8fdmP_nXI^Dio5me
zJj6@q9R#MAd?%4=)CQ}Uao>6Gv|XcPK7RTgg@+@G*4W#9v*ygTFG*vaS-&2sR*=Hf
zqEN$Ag8<oem?;kWrYgmTd|aLmBL%>E9?sPk(mj57io;cwER?ygjKCdD72Y<6umO&Q
zIGNqQe(!93Dl#Z{Om`HOb()fB1cLsyVfK1%xV4`~Z>HooYZ|*03^#^cK&D|*ZH=$4
z;S|3d6>FD*$0i|BTJy*G;*Nx*K;MMQ7`In#Ua^%u`s}{*O2g5dLvA0?hU?B!^G=Mx
zt$1~H<;~Cptnh<`^Py;nZ5L0$(HMm^6i|l|_BO%D4j1~7ePNPo)URI3r3fU~Ml4NB
z#1OS|tzPz14?(aO0376)5%DoN{nG0(sJNQ*MG6)>73wfda4}{)Z^6s~qB#t|MJx;=
zm4u@6ApF!4yCGUIkyMeE+7|r)A+|4(A2BIxuW1SltcIgEc3uX@WCF|vY7GOmvr5Ot
z=IZJwj|mI}3+%D^`FYz5tNtJklx^AAHqE`b;tqdV@b}+sLp%xXTLx+!FFYj?u$FT6
z8>-Wk7hu1c7FQ5v6Xj=SXZx%F?T#lANP6&jW7$lbjgL0B-kgURB%h)ze$h3i(ZeDn
z;PtO3j4zq1X2IT-q?T8Qus-7jXBtCFD9OjKSy>FrJ89p@>KjrxmFEa9dhn%Zz+t!Y
zU9<n#KFQVwU0!W*0TU%nX*6=pX8>MRFV(z4{<j`mSW2YUp0toPq#Fgcb)(p}+NoK8
z!n$$Bme8W+=ndw!q*_zyQ{B4j8gY{qT{?}+u;=jak@K~mpqEvX7nq#e3gG@JH*a=^
zDn8Y$4m)J4<-i{Y_*G@a-`36H<)UfWm55ij)77Drn5C6gEwg4t1FtTofRvQ}NyqWt
z-??B7rgZGR90HVxTufkel4oSaXflwl-0*nmIje{afna5Ia*H^`W@cu#3n?<SBj02$
z7<0LQA+kl4LJQ`?#WB7QyV7w3SnG`3TreY7Ug|_Yt$hOJ^Zc|n_X@UQT)YR$PR4^x
z7hvq7Rvep2Oj7-R-|epE&UO<_2Yq+3t)6&SMWBBBitXwEjPy*SRfmanvv4RPP`Y-{
z3}>9(SJ~<_%YPV(^4S|s6yhd?K>Q!q+Pq}2AxUOv7k<k8p>zVGx2Ffx4^ho6bI05|
zh_s>+!FO}?d`*&49=T^@ofK{6u|(+av&Tq_StM)3H3|<K*e&tktWmS|6b16$mL6<F
zAkbY3F@`akf@agsBC#QKrMXa6<@SoVe)eO#@Cb%0EGE}95VcSN{4r!VR9~ln185^5
ztz~Mo_%dcfRl@4=m6{IysJCx~b3bZm6llchSK~WA@tdyNL_!c{u6cF8{o?}L=YhZ0
z|Ni*Xb6f82Vu&2PD!_9qrs(KRt>41ir-Qd$4;$w}o3}rYW~*yzo}Rsz&jTSWV?eGC
zI_M*R`qi=dyXMeu3FF<LzSj?puOB}C`|}Y{0zqCQM&OYoNT&bRX(CB{5lRUEi&|z~
zB$VP;;MR<BveR3kmm)JGtz4#~!=hfWNOT*FGCuEqKZ$JayZe3$JjMDgd_G^UIimp7
zo#w@{zJc~%YCluJ>eUEvEewDf0j?G}y{Cj$MjNU?MyX2>?N{7JQ79zT=FyLrV7SiN
zhLEFl9<;A7cPG3Vp3NUMjI5~&v|G2nI#Mm`y>zn+MD)<bg(@4UlpKTIB`ciu2o#&0
z${MRKBs-BwS{{pathM`$HZh4tPhUSt<CT+<{hBq^PM+<1=bo#-Bb$yTV{<>c@#-sB
z`M3EOuNX6C-K{>OOMgu<zMgu(0HiWy1Td`5<}vjnD@DW0YDf_O*N=*bewKqy4w0UW
zC|?tew2PD|G@>wlj`C{aIUHfHx)>TaQo6Q@T~b$AjZt723Hnx>qM@))l?ZaxgMvh3
zia^45n?RkoQAS~u4wn@R7Pe+T(nehWhd4%OXMG2ggq-iJbN0=X)t*8`=aw0^&gy%C
zU*x=)Ezqyi($dgL__rUrFn5;gEg~ce0l?o?m<0W0U)2F4d=0rwS6^>aoOW3niD<uv
zPYD?%K0pPQm6iQm!BJvt?&``jAUpUilyh})aZz4gPEcyj``VzUS&o_*J-ENYFoKMQ
zijpEkI=QaEFmW0P0Knjvcj!79MzK7U%0DS^5Q-qj@^LkhLuT<Htl;Y!6o$wRRc1D!
ze)fr%TqGH^^*PY}(DZ^*Y5OSK5Zd4=<Pr+O#2{x08H0649z}jJMGa@Rn5EDN$r
zX?6$|)ocRFH6)=JRSc7Ek9pP-t~4WV3g5{4`4iHw=8u0_NeW>vk#midLra9wj)bIf
znpvb1g+%QsMrrIIC^%IjK;*=V#G0c=FLsB{uZf4E)(Sy5xIU}R$%v%*YfGK<OJq|6
zVCj2pEF<iDxo6yjecLN5dYSk<I$}l$=tZKxx?#apxAo_Lt#!f|{W#Ba-nR|!+1}la
zy}Oour&X<e{_Worz|j1AI{z1R+p+ZsnAqFTp5?r|9WafO{ZaIu0YW0^!Js@xpC54f
z{IB3s9}>N(4<wn565;&svhb&%vQRR&7PCok8@oz@qo(7)IYK%JMy0q-=~Yg$ba1HL
zIzMDxZ@0hg@9#f*{Ze?!Kvx$8+yXW=hb;f086gVg4!@`^`hi|q=QyPseccP)HIGGX
z-sQ}28y2Gr{Eu{>=w{0)Kj<{>58kA$aL$>xFbgd%^xG8%fWa0}hIJ%o0+?fg#*gDO
zdW_77vW<A(d<WwuD>KqpJ~BjhoCN|%9~PxmL$r|Kq{eAjco#=?1*JohVAj952B)~W
zx?VV**g+tO7K>{)yo7~X*vP&NbbfP67CpFJX@qrTzIiXGm>9Jpk3*U0<Y%2*-zJ4m
zsj^~QHh#UzH`VD8k7R^Wh0tWyQBpySF!D-<HPR>w3BOdNP*Tn*A#wcpxyClj-3cU+
zm4*0uy2b#8YB3k}`sxzkj-8xT$n4ON=P*nhMQf^z!eU225ciM0AMLEmM4GA5Vgdj>
zRrJFUE5gW!Jd*g`W!nvvjeexQnxP;#;Sh>?`K*Cw!F)Re5fbbkwA~$Ye0<Cw53*c%
zvo%JI=v8^1$9@3z<jB{!-LNa&BGthh&Z&t`XC9HF>C4&~prUu~;MKN0STX9n#;Qd}
zz=W{CBwCqbB}8HAqszrlK@v(DyOv2n%!Iw2@li*5>Pn{?3qBTBI1GgZY(LD^dkS5}
zqaW*5Z`gG-dAW1z+igwqO!(+ccE$F>dc+u0vtXEsi;)=4XIj%dIJqfr)gucuCrK!z
zPLR(Oj>I{B>mD_P#+S%zOhqT?3d#|>i4{;#TDSF8Y7XdEA3Oxr>$0Se#n#(56A!s|
ziVp9SEwS<P6GW#~6`^5UzVd{f#3X`+8zrF_94*I5+GStzBpoW(u0+HjBUv!r8p8yW
zymXFFKB7nPO6QKU!SeJo{lq#!O(ML!A|jn^<hPr*UAL<Lu2sqXjtX;WC(i>8h0gt!
zI-bB*cp^Rb88X<qUp(CC`w#p9LaOus^wVD&45fn^#H~MZTmM0&_&Sf3rve^|!8Unj
z)3QB*e2)ky*5mV4^}I=j$ox+w$?vCC&Nt66?E1-w{`ZDSqN!iJ4CWXS{zYpUiS}*r
z0kOA?cSJL5>LnIW_5?UquX4G<rPiSkE)rswhQNP+|NiZ=6}{_v*Jt=WV)6$FAE9Dm
zqgEVu>6?h>iI-GChz=ib?ZT3ISzWDPpU$F=tVlO~xbsO5K(1Qq>Rbq7uLHJTd!6bM
zMuLJ;{o6d}iyk=SmqL$D-&_mcNd=pBBaiH(V<Mk$(y<bY)r~8p+Larf@Jo6Z2JECU
z2LZ3wWJ}&+p(PRdXK{L4Dp)90jou)wb+pi)!n_jE3#Jstmt|D#+g0egt!4DcBjk~M
z7~5AvOtY#b6GRrTZc8SLy(6QDX<^KMT1zpA?Wv1$FqiJhFbqp=!3Haox=qo^nYaN-
z@a9xOXz^=pr*1L4N;k>-r9Y<asa}y|IQx+9w&PUi7|GpQo6>m{=(g<`Ri!}m)V><x
zhwLy3v&t360~B~j0cigoU_~7Imd-wv2qx3aEGm3J$hQ)t97#;uw?-7A2V-!xG5J|p
zNgC+y`*Kx6(zU4vL1&?T0YB-?TC88A??nh?b408BTj_5M<A>Fy&3(#!eLZ}h1J#7e
zMB!j*h?of_L=HhNibWn9b+I7MAn6Mw3}d#lBwPG0wQT$;FIF2*C<S<OO|7x0rBK+z
znGX{ZjkOJ!hlW_9r}Mr^h?~N5Xx8sE{x*RTXnY9|bxKL&<$?96PDGL<FM$p3u2v7k
zKjJ<`b?z}Ut$o9Q)xe^pH^oXvS*sAU;aYt!DHBhPW@bG@p<y>J;&C*+zP`>yz7ruq
zX~F=yM;7H1!8n+3*j(Wy-2*j)tPsm13uI4D-Z$g#;)Ob!ICgGE-kea?c*~v(De>D$
z-aQ7r`v(1U`}I(S&(Zg&@V)5cvFhu;zxw_Gwpv}f?H#CW-T}H=hr9cK_rmks09XFq
zxWz}2oAK7y*VB^kz(7{=zn575o(Y_QN|>*bFZu{VjR2DH-+j=F=heP}E)(14zZXNd
zw?a(*!AUiSTQ!es@Hys8DN(UrO~m!;%?(IY0<g(KZ*6={($AF$qxkjId8_y8S!JlG
zsOq?#QPmj&dTB;Sd3cmVgn>x!trHBSI83bsw0WCTXz|A}%|C#EPYQL@2>uVSL#jjO
zHru&QB4@St-m*KBo*RAdpTk~3qoih@$wb|Oh<5zaPx!DrfgNAF;6s|8`JR2cN5;iG
z`&j}iq-59$ai~ZW6xoaTYHl!05*q6GXde)ot(Q<asw_I>KRG%OSxbs4`L4UY%o<6d
z_1%3EH1Ue<6W@dHoRaP$4vlf09CHSI`LvgVZnA7>PEvAmIn*}8NJudJE>x)an3)d3
z5)u>ZHB*|0d&`eg%-MYAAAxubZuMK*rjlg6v_wfMh-DA&XYPGW^|IyzI$8(L6UQ+~
zuwfYwhh$YL)XH`6BdprsFK|FukHSRk8z;$E(i~Uq{0`w^z5O`<!Hkeh*yk6odv%o0
z#KI3feAi1llWNa2t0_NKccWY5$@;Bu=hkd1BI-GLSJRxdYt3Yn>iDS~JE3bpV9N9R
z@f=7y2K$nnoNv%^_*I#yJO{R~E948p2O`co&UB;qX0LZ+>x*32k#vb5!RqD@;Auel
z>Ny#Sop2A2yj}h~EAA=_3rqh6Mu(1urBpP09}H&T3vrZQB=X7yH?l<#kGgfdb4Rju
zOJp%iqZdQSl+1A?<<d+X&%!WFVnL{9mrDpOly@g8bc2C3!@_0JK>eyHpnBy#ckaCB
zMYY<MLX)U`lrcpY?dI-0=u~`(ft+NkC+Qd=R(aAiQ@>e=rAVaD+3;$N+5WK12toL5
z`8R8%CSO?U-86%$2vj#eL65jbaOV6LX8XC~xw*V~9&q8S`u6(yfWI5J>3TeS`+9Ec
z_W98M`HyNx5<|q}{`wezGk@+T$ebq5kec;Jb;t%4)1(ipjcDP#p49#F0AKT47>9k(
zIjI+5cUf6;w*+y79{I_Rq$nk&n!uEur6RDrZaAY-qD1sAFE4{4$jCkEoi@o(^?kF-
zDiq%yykVD~O7b+6ZuDBm43ccJ7$qu}SEU3sONo<n<ZFszt%T!uI~ZMc7;ufjSOl1t
zZ%a3_P}1=V4o=XBV&+~ndvTH_%yVW(&V#d;@`k4*G;Oo~vYa8tx&4-ZjFYM%UR(;=
zz?bpJIs2Jqxrnv7uKs|<p~f4qbb_%?qO@1$YwTr35K|Sb3jKH1x9w^x-uF@3BlJ>*
zVp6fI7oeh)NOQgVw3uTh1qXdE)K2t<mdK)?m5|p1KZZVMI5R(=e1hdR0>rU)c6QFz
zBS$3ZBGgDDAc<+)qZS~J?`o`t+=%mOV7(-Oz!5@RhzQN2@dD4v=se@JP1gdQLK#m|
z{X4rBrxl4B<VKgJ->~o#wBoIT=)HQ2A?HJaYher+Xbq>oMQ<8qgc43LCKbk8W0mWN
zM@5}gxD3Mj+`CaGb2z!+1Wf18-SSP1^&A2MzUe%D^mKFxVd9TS)hlK4%@Z^S2r0c(
z^a@5&*AhL1T&C@q#K9)#f!)EWXyw3!+Ib%MG0M+?2$FIVgb4@UZM(a>Y@gT53}0;l
zf}PEB=BBo_aOQ0fY=UM(-l52^ZU?4R6pPcE)L*&|09CllKWS+#iJGN(nm`8!E4OVA
zMa>dFNMP>{(I|{Sc-LJYJPQkfqiOJMmf&DmfA{ZEq1=!fIGjbu<cyK#f<>Xb=zO-(
ziZno{MPrAJQWrq$V=u$4A<B(!yB$%5C{8`;P*Fiz-q}3hs0v>UQ-1^$6_G2|32S#Y
ze}2y&^Dhi8=|dOq0SC1f@M7QonR~%D`5PB8tVb06`5;#Q`g{-@PVg{lMN}!_5ii#)
zkqN?v$pj<KnF~~sGK^1+j|=P6Sh%~p2L=ZE`@dvqM1aPkRlGW<VW0m@_zUj6sa}s1
z>>R4cu>W7Je|X@-nVSRLg~=7qjfl(WxgR56o$Hu|&~?qd*5`SSc;BMwk`viZheMD^
zHyiTs%Dbz^xm)u%x?qC&<Ik;k$t_N&3ndZJNtOY9?)CvprGQ51J+V<*#&zNQs6~!$
zM~1#=M?aDiDRu%CaHhGm9(SYe+fyaOz`#&D3s76TF3ra!x}{VKkHw8_9M^{Bp~JaN
z;6ZGw^O>2L)5jttLOk2I7;(d?ii}rj-^Y|`Xg7yO;ifnH<OGXJrh9Tvg;NV(ez2o0
z`5cVJkyS~Sla)mb9)zCX&Iy1s*kB_(fe{r*;J&gjoREZ7IT(rrYCQ{9Qyu?IGh%*3
zx6JRRs7hsf)_YV8G|J=k#<XLc)t+n|Y43xlsW?Vf(PBM@+JEL6Ii)LP15vwG_%u2?
zx_&GjCwZ`;;OKrN7_w{LJ)^&!bLDTA`sqLV4ElRX$gjX}T1;`^jC7mnS|lFv;#yp&
zX^3g-G!6|;z(SA38G9NXRRHxv_WLP9A&`m*nl{fVlmp6EFA6Ie-5Gwvx#tw^K6Ird
z!4T75pvH$S`KKVs8LVvmNWx7)X$l?YMPS5;bR_{r;cjA=?BLK4dBCrp)YMe%%G6rc
z`>xkKJf7ZC_};}S`i6$%4OJbPMxL%*wmh)b(Gb!X5K|(1aeM~%X+(`0($H6>+k+B9
zzM5E)qTHmYEgI!6lW)(+_<@LAc6@J+1DU3DiRHl$R!ea4A&hJf4Q@u6@waPE`^%k7
z&_=t5{UT3bSE0%RIW*878Duj0{Q3SKq#z@T{tCJM_V01%BRPOA=Ufd83>3?L{K+x(
zZ({48)&F||#-W0fci<QWG@v}*tqCqoao;;+BSqfRvF8KY!1uEwFkv`4?xjlb`Rak-
z5P<f30l@&J4Qsq}e^fdFpe@#n`L9c9NbC8k4aB}_sKg(#b=fq?$jtPuK{x<jY|uOU
za<}`c8L^1I9nFc7TU}Y1`_4N11!*`Ln&MXkH0@$V3Bg^p*K@u<Xx7=n+a5|Mf&38|
zXhaiFa8F42lGDLS#|uizn8NY0ZTt;Ym{FnaNADj>924%WknJ0Z+fyUk*Z{iNdO+K`
zn$bV;u@FN}wdBD=4)LryJSjNU;Z80v^YXg!D)Mey%!ww3>HdSD$ug?2<Y4p;-t3?s
z?=y#a$P2DKeRi>K`L;oeewgX+HHW@@Q_J9?js)4^@0u2Q`NModr9z6*G<AWcHCA^I
zFOJiS<yMQ}g@z20t`{?J6OvDr$K`M$HJh{E&=^{^XI5D_G*~xpa08xFvcZ%U8z!^g
z#fhVF97>Fepr()Ia>jX5NGXNBs7pf+4Q3hhleCg{dD9D7p7z7ju;tp-&Qt+@z3c01
z*4DMyk01T>bVf9~Rb&yPJ(0S_jqo!+(BTde=xp#gKPZ0jj5;d+lxNSIy`gKo6?M9;
z<rEb3wD`&Z*jnKw?1(rT9|)*{e3E82AJ$_EOpxF7jc-L;R#sO0Iz<W5fcI>0P$r3H
zmYod^wszasIIGMqr+zv~jRZ<i+xpj%cT%h9JrrkafT4AP!l@}mL@E7rmi04zTaEv7
z3u6x16X%sl*H^Flo~pj21O$@NKru0E7*-03))J!6>oPrVmPib6TpAgLEwoNj&~P{z
zO=~e#@|umwsjM~TNHfs?o=u<SU&Ih@JLpcT{jHd-TW3ZXFC}Bl)K>EnPTX8?2=0xm
zBqNFQXUre9%WRtC0C)NUr1?6%^<Vq<@b2H++Z%$EBcQy0DV!K0Og{gPfBN&rN{;$w
z7!`H<nTh^fm^?jigTLQE^6Jwt&~yyG{Wh5TBIpAE60P4J&*~hUtox(#-7sDK{PY!k
zyWC~)xOnn#lM)!?Bh3aeUESQ=z$dD=1+L?bliw=d@77UTIvPkDgP4-&#Ap=fE=@<Y
zG}HRI<)oBW4<<!c)z{o$g$1`n!lJxioBZHcsn!;fp`Y?rY2<Wgu1VqKHe)~~&84J3
zX^Qni{1r^W;ohFEjs`IWBIk~=+!pZF6Im2U@_N4n9kRXTo0Q=ki{|836NVEIo9J6L
zq|QM)I$MWEgsHK0hKXs90C{zrU?CQfK=n$%D0`_LG|4F27Cnt_54JKecaCO?fiFgl
zfkr-w-tG$KPgg#32-wVqj(N3p#I8`9u_`<SJR$sCAPf{A1-@(7H=86C+vl7}02sq;
zQBB$@bWS)ALdo=yCJI6#3CQ@cs~C#4ND5h_1p9tk%}*k%ZNC8L;M*h`w`y_gc8BVT
zhEp%xv3T;=PuFv*bL=m|m9G~tF5z7O&$oJSQzi1>4Q0_eu(SY_Rp&>>I~0=1X<0@w
zldf6zL6X-&fAPQ6icF0K;-)6nowNXyuM|3jv%E_GthQ~;If({baBXA0T9i_y&*pU5
zcoHDff@tT7<`8i?hD0R|TpWuC29~<|jdSAB8WQ~&k@t6}t09z}>EWj<q9wo$>HV$#
z-whEOf-4EC2jx{`&}l(!DGfVPEMZ|WRxqbHelQH@@X4}(U^h{cYD=v&TC9($!`uQx
z3_7?ovtNJ4+yS>NXwkd6)>C8WL${E<^JcR4roBK{oH{Wv9UoLV1j#y8j(>Ii9M|Qq
z45iEmQdvlJhi)J1>+26UMvVErf097Hg0bAMW)IH<gU<84>*Kk%eskGgZw1~x1#Dtp
zj)&fLaFt;B@4+j5`1WUjtqWjOH*%NTL0amwD)P)hQ8c-qO{A9n+5Jl<)~7wufep4h
z;-{VjmAEM~8cQtcl=OTa51xz^Xvs;OJ1#kRCgD@mebrB;unuFbH(qL#Hgax%p^_6e
ztwafRp`ww`M8?GeEzvb4tSu<`9{`|(%MXdGs{O%z82tl6zJc!DJTF=<9qE}XU0j$e
z$;KL5syq~i?z0ohEzxFuCw4-R#_2Js@7zNvArVI9iLXEp2AsMW{(-<1HcR?RZ&jOA
zskAwbRy0Q3#u!URTbB9;)gB)+s)@)qqKge{2``yoA!0Mkcm+pHt^dQ*RYpbCh3lbf
zP@18KP(r#}V(13xmhKb*=^RoTq@)p%7LXJa=|;MwK}tYCz_@$9b?==&{t(w<Jm>85
zzE5hi9X%)piIMJ12B+=ZHb-W6zU~48LO6tNJ%4*6aXkJhD;@1RGcv`OXj$3a7h`qt
zQ&^Q2VH^p22U6FgIoYe<7t1L|<<M9aGg3S?*yi_CF0pwYoB8<F)OvGVuiNv5@zK$r
zfl?tm!-`r;pG@TB;1Sx|<wtXemmMpZ-84+M8}~yOT!jsBP67=w`p|mFp*?kh@!ODA
z3F{AmAb7cJQp%7cb4Ybz6^6a?vo3fx;O96e9yT`#BfK$0fTpFEtvs1t>bB&a0@LQk
z=UAGgm@U^m{dc-1p!9Gb5tMc;K8E{Fkje-<W-IBM$X8u<xNPR&=!(q03J?c0)j)Xh
zG;^o$xE~k#Aem6v`x`~dhdQ?-x$jIkKa;Sgmw1zD+wA*-OsQU;hrDNtzdEFOgR+m$
zuR7OWa@l?ohZLze4WIA-p&%({wm^XG2>hQJ5{ZZuu4IHq&XG{dy!rU)`VUy*Pv>8y
zXCLm3@k@YR?m#Ov@KoXkR2aO7OkS;&zGR2^f2LXUBw$_ZhJtB#@vzC(&Ta>T;g`(G
z_$}!6cnmsOfXN?KqX5i`AfWp1-m|(FtN#%{yFztsr8abYn>)SR+qT8pZ0_X1O>Xge
zv)$c&<F6T&H+#A6FfK?RLFap#OK|A;1TwjEtRl6wJXutGXbe~F`|(}EhupCiuqZ&w
z3Nk4UeA8IaAnVs)`#AA+V`Unjm=MX+SigSWHyc<%$%=s)6XP{*exj0&hR)<K{=?0x
zt-03k=}RXNG;_KSzeZ=G7x#5^aY^87k@)7NI{x#gZ@KPbwiXo)O~TeMSibnWq>YqK
zuz3Z3Ho9QeswymI*16e;Gpj{)uf5WIUBxQrwVWIhT~WtG+CZv}hYl=t<=SkCA_G1T
zoW}!*FmEc?|BfrIgl&oD`@HXOFXwNDq-DLQ)6?z~U1CzJern`Nj5OPLQ#4#&`$1Q4
zX;#`ip+~BMb)}5{yNR1?O=(VMR!5ua?~{phoow`C9S9^1h~F)9d^Y>yo;K`r0ZH9C
z|E2TPb#Q24V4%JI?ic(k<UYvc1OXwdP;z91O>g|DXBAhNQ{=Z0w5E`{`GhUe`GW<C
z!aWUj^}aJ*`{_|KmaqrtOtFJDMxOlHPMRS81|R*!&8JK_u0`LMIzaD$Pv;6YF$l8~
z&RU8gTb_l~`7j2fGr~U8OyFZGQe^7(=e#K9_>Pr25-C6gp<*Iw8f{W!Bx3%;M$X2G
z7a0x3k4ICwhi*n3?+ZucdTwM_;`#k+)t~m+Q+sFU;S0(6)lnQk;np51>gnk{-`rAM
zaRS~VSj=*>$;b6<UH*RbiE2=iV&cZo6~6W(MkEMyPySxnlfHKOc;)i=+UGG21SJ;)
z(Om#vTzl>f-rFeh@jnE)HVKsh6>xcn3PkTTlBaG^x(Xyf6>`vkG|-@(N0tEt5^Jd*
zzx!CF&xW)@&OslFBd{P{<gNck)qQw?d;R3AvQnZyl@1%(JqBrYL_pQ_g=UeDj}GAy
z3<EO9$K7Vdw)Li$2u3*k;JKWZ;ic$S=iW2Fk95R2yCA(F?+n`nGpfZ6y(j2!AN+zt
z>8z(eIjvn$pHWz8^KL$H)VSqa=JhWMJ)<JLfMDU*yocya>*JUmI#nL}uqPX8ftUWO
z#9|?+bp{us*QzLksRWLD)g^lddVSiQCTAO+?<0{u(tLb6)wAa%V?iXI#V=a=2-_$i
z+WhXn<ZcjM7NNz(gFYLgnigFAo0^fx9dD|+4jF@vO#JsmX>T=-W<&fr#AAFaO@0X9
zZU=CSrYo$V556soCvQb?H!;p%YJ-&(fK8ad@V;<loZ6wK@;(=2huts7VK35JQJQuv
zC%T&~N=AYO3|z#>UbrQLuX(ExXE$=wRJ96N`cY#ApNk26s|2E*>Vt78WE+lKE^I!O
zz&&Dq;=b`#%zIn8dX@tkI3s%GXh=drB%hdH_I+@0EbIeKwr&PwQ0^IM1V`PJfta8=
zl4l}KLrcr0hNgNfjNBYb<;|40SiD0L{kbgi2WKkwmNLRAw|o2dzw?ft;{{8<f@=ts
zU-D~W`;-#PZ7Sf^dMA8qdWzI9bt8g}k;K`fCSv*w#MfiL7hQ$A_{72M6PbwTA1i<_
zjU%(O7!MM(ejWU8E#OCzfANPCIuE+QJrJ^g3ksMY|GRjMqWpH%-k?(Pko$VCZ@;28
zE2)!h5CHuP)f59>$``C!g=UtP6U@i!cU|i*mY3JAo}w_@MHdLFnI5Bu`K4qdDd>sY
z`;Ds8K*er++@d=Ldzb$qAVyH(=pF$hrYD1_J8>}_IU&(IYhu~vT@Gq=@BSq6e<647
z7iAu3AI3=HPQ}_v1#yiZrU$(wI-mN)d85CF5*K`ZB>$}RdHIORaB9QM{F@wdr>tMA
z@H=b2AKzrxuYGRvC9+S}h>r^L^Cf3Pz8v(wykCEVcG|3;V5-ya+)IX`_hvJv;TGXJ
zUG0C<b291gPT0RtaP_D#CkF;r`FpXts)(PGr`VAtLqjU-*Ikb+q?a)uo^{R=>vTLj
z#CMuq7LV5s3rr7<=-*m#d=eIr$4pnT3D?N#bZ#Doxs*%Q#BP&S@tS+Lv*6fGkU-Ey
zWq_}!`|gBP4&)}4A}Cvh2{g;(r!-h>h>8+<xucW)Mj%<0W6YPIe*O9tLWjQBX~un;
zjhH#MN;Ebz3-aE=2^ONQcgIn8?t<j=Jr_%h&2bTFA_>dHKEI7Nbz!nf>;iGdbGM<?
ztH<yQp_GO`V$r3+A%9xxXm!PiAgi(_(Nt$UJ1pYsGl`FOZ)e}~VV@0Osq%!=6G70!
z$?1oqFiAz;^1`V+WZd79S(=$)LI%9f-~Cl%8XwK3fwJ|(@UYAx$rgCvBwiY37_CLH
z@_Rl|CIaK=(r?_3X|GfcaX3VrMBDL<v$(jp?2PA(x@r%kqz%ESjY4V)UMlqQLa)oo
zUHY^z@-I*<GsE4&K=<z*9?MSu27~H9(>#BsK^8MZcM<7j0btW2fy7|J=4CLTmBE;e
zLSRpSkDmg<;WU6aR`BV|Z}jB5!#mz}^Z&`k0j4E+QJ0XAfV!<fCdzie8fXFAG3z)%
zwMU>Li$19t^qqkDGr)2Mb^C>)j>?8ufz8TP&Jk3<I*`RZNMLu-^O-egQls}bFxqmq
zhs~@A{f)}!(5o4v9@z+>0F9%>hUkQO@%9f*W>gQm_xs)J$X%zJt6uR{2)>(}b)~9a
z$|lGpg=mAbl~&ZVvgy(1jUS+=&%soS#)VTP3rUrXi4*x5yj6`j6?J@h5a`#U##uXj
zzcrt_^{HiVcz)>Ye3xOeLJNU2g-@kFVAb0F>MT@q8BIV*(Hb+H2RQ)(5QXYN>RN2a
zrulrylnx)_sqf#Nffr<j))C0Vhm9ZxP|-F8xo{3?ll!G?O9O?YFJb}Y50uuCz%cU@
zJ0*!+?VWrW?SkxE#l;OSV`TFdUe5J$tn=^8x}Y7db+>83;O|wH1|}nlrfx#KWClM(
z1=+9lzbHJOxT8*!<bMZ0yvQVF)m&ljw=&KWq6U$x7fWw=q4RTd;z{&B37EK!M^|x^
z@Lt68+rlS_KcTTC1iA{N910Isy|q$VhQN2pebi7IkFl7=@maJ)@E<v+7zq}UQMGK;
z_Dh`}HE!(q>BJbDrf8H7gX1A<`H^1-=y!GZfSOVKde_&B#$wm>^~%M^y1@u&LPKxN
zgPAQz0BRtTHwMmS9!}2A1sf`_M@K>!uT3kZvprV8_E6}*83(-imS81Wsrx-#_xr!<
zDj-xiS%xVk{;G;X0<-&s;OpW1_tDGhc(n>v1g1ge%V91X##%V>v>exOi8BS$qx?Rp
zH@kg~*oiN-+gh`=6E&ci&2n>m=z(0zoLhFCk!{7b+sd2SRbqNpKhnqvWC|Zj`GR0E
z0FkP5H<T#Qw0JZw212rcoVZlR_cU?yDx361VamOgAliM6FmE{%1o#DIowlEBZ?p8w
zZSGQtVT}aIVOD=go_d>(Q+sE^xEYRt^LEy`e46@REO;qt=rQ&wYL#jx&oTF*xB;NT
z8{r9ogEpYx?iUZQ0*layu$mmX&_t|6ik=Ueb1mK&b<mF>IrmPEKXCl&{?~(XKd~ms
zygMjhK`r`HsJvgakOSZM`P&veWUA*>!<?UZ0cC4S2+qWXJKN7^w0oW6>vR=FB=*uK
zI7s!c`ic?uMP@en)jRl!LSvqywBF;dM<jRF7;z(1%jFO?vuH5+cxB=UEKHJkJcJDT
zZWKI7c?(UU0J;e%7~)cJeF3s5N!grzsKDL~kdf2tEm8NHd#mX4Wh65Rh@|izIiALo
z7A`%UK>DeZeTO7wb`S5u{sA7JDUdIdv=`V5SWHkSQzHU;W-7H_his=RO$$ne{Qf0P
z=-r2WagS*@dPj8c`5QwJ=uz(UHrl<%UgXg8wN}Lpx!zWfX%G!(xPAEt5}n0{+JUYT
z!_BI1x@5NOHdUwow1^z?d)TqD_DJ;D6D!t0R;Kc1K`PJv3yXpG_(b0$z83oiuD#mT
zlO>{+4)S;4om&C}{IOpWU*R4Ims#yj&DjzK`z81UK>nraDNyr0UEj#xvm2VYj0o%+
z7jtl(G3odaa2Xd=Mo*rw1)y^gGlUKqC@Y>@0_rkRjktXU5ABbo%Iryeb3#3g*UeT%
z=JsU@1e|D2J%Q>1(>6~<O(XK&#GVijc<t`()iftK7+|$GdeD+Go>&+&t6`_!l}s9~
zc4xaJe7_8=n+KLCUy>vev@p{VGH0AjrFeo9CX35<5xO<KKXxYIy|=(~kR&m%vXVbX
zy=!IjKv7}axf%*Df}>L)==UV!OGf)_n{LfO_A$0BINm^h?7>W>4_fH_Gqv(*KuR@P
zNShpXrut86D?9SD>=+%`$q_Rw4U*OG^4<@Rez#)ehR|^#>v;*|+oV`HOuPZ_!WWxy
ztf-B@>jE73we#v48o^*r4H_|BJKs*%>P8_a>vwCdT9LGTn`<CkxMRw3`=t*=rVq?9
zb@SIEn4n*hvfTm4y)N(BJKlbsJlA0U0{SLW1!MaxiEm-W#vyEMnBZXp*XRk3X^lY|
zOCsNZm*j+x`Mejci(BjbT#=t&VZsI)vkb2z1i}S2bM5j(7eMeeagH=~fH?rXP;`ea
z<{m_(#3GG2DH!~}g$Fz3Fhrj)D;^OeMt7i~Irf*obIn-k*<Ke3mCdzs<gLYEBPZn_
zbjZZT@Xq<#DT(1M1C?kpMhb*qiFYz9TsMox7PDVI7`~4^s;J}jkwcl4l@(AebE*VH
zLx1~nYabpcCGQ15sg71cPF0A!tgRWLpOcaZ%b(N<vD6C_JDN?(d0H!*Ukkw@JJ7oW
zFoJU#ovqq=t7U+&jG8X*s%QmFb|M|z4bkMo_W8H3j=uIfTlDb5pcIspBH0oU(4`ty
z{8wCXId&=b9$mXNxr9m@$QP=ySW0P--TK7KYeJez+yl4mR<T0rbYMQi+}>xhs{JMU
z6xbDbGP<ORQS+fRkb|Lm1sPr(HRN@=dV8O*gP^}qR69uMzw6M)AWivr02fGsW9w0*
zCLwm@#j3y@9~=VZ{n8Lw8CWOky*+pmxN9aZZCKD14b`%c&&$Px3^qWD5G@u)+;4P?
z2nw&{^?&48))=6|+)ivUfJhh}qLOCh5=~Tlcoo=XP_1v>d{3~B0XJ2U%IjMnj2FVx
z`EV=BN|F%rd1LaTb0nLGhnw3%lc(*QNg3n49yo@9bJmOXldkXjb?r*dvf$)D2>1Ex
zor%TY|E{+7Do~0E_3G_O4FuH~(qdw5N}+w#BJvo8dzl38B3XU3N{*BLcK9h+@#qyC
z+)4V6fVafusyY;ON`hJ`mZ2+eh8#?iFd17eN2U?5Er(ZtaHLax7>XFX43rY-1<F&C
zj|;r2kdg;ALdAB<xVTXiqSHhmyMcD#&V8ui6#lf((Ba6;M~M6EjArFrkX=Q-U$tCU
zMHK|Fz3-YPox|BlK|}b8nJBq)KS%EWI@^*+vhU9U?>$T7Md7j@Sww`~Cq3(!PmTo1
z6w@{<M*P$Fqzq(aVn$8W5ZAx5g~3I9kphlTpvPE#{P*nTYhaN<DV0#&rt908Ha0e>
ztGjm9(hAaa|ICLZdV+s|1SeXrl_z(INj3`!20BR@{;Tv4l{Alc^BE-kpu_;W-`#cB
zGGwDj0JI*DvNjzt7cmi0M{SC_GDfR}XGbb0vHC9Kt$-npUnS_8@}|WhB=9XhY_2_K
z(<)A}=^}XosjDU4HnImWh^B_d1C>VbZPU2;Y|W3#f)>c#qIHdQGPi<fo)vmqT)s6-
ziiapA!o2Q`Tu|1{tuKTS^j%}$)C2;J5noUkn=u^i518B5<<&Dsw(OCP=8lU-<_b|(
zu<s(@h&%}!^@63~)v%`M<BxA|Zv$6eXx^6#5nc%iHH3;cpBqO(MZiEBLtF9|89o-`
zi7?gcN8KzL{d5CElyLx?aWtwoz%YVv;R1~|Q5dPAl{GI6BsBCtTLsstZvNCO76kiW
z$h*`Dp&R&3V#uKDW<WKbyK)cH=z~xp@cd=qJ>sK-)_s)nes$_<eqz93Dlx1L)=*dB
zJdTI(SQde>9>QB{EV++GnX*dwJLO&zk5t3Z(Tp4AkUBr5Hx)J>N=<=*=SV0lboJ2U
z8dQ4*g7^hg=CM0{4~9&eS;+6R0aPVbC^$<ySJ9GTUK2&l?!ZplzNgLGN(qrM^c!}^
zg1mD`<W))AZUerDkEyjZTE+tqv~=_i*g)kyI`Jo*6xYAJ0^XmRP!=AeoxUnMGJxO~
zPV9&KfQT!Aa7j2(C^VloUmWA^=fWqW)7U8^)1b9l+LN1dH&H~J=Q|@cWpO=Ek3<T_
zVwwW<)8gc{eEUHnO8j?kq4*LVs^7?LHsh>k9YAM|9K7h%t@7Q=CsSI<2f)Dbv72C8
z)H+QCL>nIy-H6^|g&JK376Tx3pc5Io$!ETNW5zuJeh#q(?$&{?Lq4lBPl}%si!to#
zAF7P9dOZ~u1x(`eUq3efB!T<{;=SEnAaOqN@K0CINfGF7>d##?(q%%Fn}B4FJ@l}-
z_L&1{tUS~3Ji%49`KJp>HQQHAhiN49oe8*95VRr%_aQ3>pFtV-x}Tsl4ZxhIXA1Fv
zPWqkU_)eIZ3Z29lJy%qFiMZIY*+i9NW)qqu!;rdTf_)$p0OwQ#Q4#b#z|sc3*hb5a
zu`D58Ge#ChlQ1meQA3W^I&-5HF@%!}qAko=^ukiq3LLT54|%LWaUpP0p7JD@?1RY4
zz*=+Q<{1HW7Q7rWByRl3Mup);R$j$gy!ztU3I~npi6x-JxEAZ@+E+;D#(4E-F(HV}
z!oz&UzO8|mrwt*Ex>dAw`9a=yIA*x=&e!5yE}an^X-c?*Vxem!lR)(u^3g+tvyW)d
z^V`p;F*$RnMzNfY-NzFAS38CRKM*Ws7@Pl^u21-~%AWoCw|60_Wj@h$_w!l%i;Bv<
z_9jXM;t8C{#=v(T{?w?402?cbDJlm}9Lcyrfy}L2L3pWX$D#9K|H62R%NP~*d$aMn
z?PT=lAK%w51$wQOg?l%@|Gs&(W^M1++S*$A-2S@rZ*G;IdF9)2G5yQGW@`)p9Kns~
z@zt@4m`eXHWl6|RRG{-F)_URC&m(52Up_|iQ6e9}r9fWW+h83UL=5d9eI5e?!$)1h
zdy6#Z*yUs6Md@ui&JNm;FxfYf$audZLaFW?fL29SDfXwnpvJ-<fIn^}wy`P75cmIK
z6;kkS{tz&3xU`RF#6d~lp}&cf@+&~Rp8Wt5_TN8u9+NuoP4H)??jfake>`R&HKTxd
zDMCkF*tFaE_PTZwAnJyOac|mIKKf$YtG2j-n^o#LBUhAFNDO;rcw{aH1OpC7$1wBJ
zD&Bo4XYqdIsU+W@{x95{(KZ9gtD{Xj=P%iDBfQ(_6jJ9*a5wHiK*59p5Mo)wzLSYA
z(YE5_r!a4^+2-&jY>FDF;-NywKG|cZCM+?ka<8%ymi7$br<P7mSw)4f+(F38`7Y0`
zdM~_w%Ev(4cG|*K1o{_zuB+(zw|5yeW_GT0V@>j|Zn104P2$5`?KJ7$>s89^RIK6F
ztL1~x0pYj(TuuY&!8>Y#M^Ek=Qg_o!3kwT7M?FG4dE++kttaM(+qv>QB5O>0O-|sa
zgBM2y_L~W#$XKM(OZrR6mptC(U!B{b2oo2KilZz$v7z5&Jk>srym@VE0l`<DLBfXp
zmB9$j?BXG|22EbV*-h|9_eSJk%5i#y)5rA*!iB=Rb3!I@5Q%ku&aYV0=*kO+@Frf<
z5P1}8rEUM%_$<<d9<TwnfoVav3O@oxC@(}?)kQ=3uhHCfTjMKyo7FMeej+&Ic9_#*
zQ=<7pa&ySHzyGHN05_3y^Em;rjcZ6qh?^VXnJ96=aRGXmd}ispJ|J*-eJpe801##{
zCVA(V^Fs4RWV`F7^}O?^M@Q9b@5cc;0#HdSbu9lF!T$N!=1h#ZdHEQQ+k#EF+q805
zfJ9T;hGHsJccgKAcc}s9!9xARxn^+Z?I-5&$a>+!$^-DEc-7>^u&vn|rY49WXi^3b
zCj*+7#yno?f(G`T^JkXBjq0j+QHF1>xl$qvhQc$_kZCNby8QL;DUj;86+=ZEkRH*}
zL5vQqEJ1dRLUbyH1DVQFfiD18&Fj>(9!y~r;rje`o>9I<4Hi>2Ci7F+lMqHs0*9c9
z7$7!8j}PnZl?3yi%Eys~XFky{cV>F!mm8wXz-Adg3C#BszcsTLTRkkv6rA<Vp<I=x
zOSU)*STfP^UshCChL*lwF(`u5)!yEoI;r0`bO{D7S{lp9fdcPfCY+^$>LpiUJah9F
zz)+EcFbp}!Aa93XB(7Bs+NZq5Cjo;R3LvNj<gCMDOyx7(mca@F%uK5`4t0v94Ie%j
z9lWmHzlt)sQpZJNa0)%)A!`Q4T-9=ZFqdU_{A8+Jbr-?@D)itp3}X9=UvWeoLq`6t
z$>L*=x~aI^4yy?~jdhYjMn^ZiuwhtB5Pjm%RRIj>p!FS$^)ygy5W>Khb**%yVIA$Z
z{GV7<LnB(1eZ1}T&Xhfga|EQ(zh)U~lZ7UdGX1o1eSW{i1bh!I8?79cp)U!PGlFj1
z*B1|{`J)@+VI($~iM*c^Wp1$sWIuW}9Ey%ev@A|sH!Zq;CwmqBP1P2g5S>p3oy7`K
zB{N1WxLNL)o%Ch*T(MaD!wuH&8P9`?e)dz+58w4;Xmf^UPTSHYNpP5ApkZjvG8laj
zND@S*9!Z=^mw-N75xm?|SyADRVEvN9C~v_6#rmDXxcoq4MjA61iX{EE)8d0UvY;<S
zU9Xwo0Y$(A)RiIaHf}MTJ-7p(*$p=Or=xt!n^pzVvR9T{3JQh{#&mnyF(}G7t^3-)
zzI_$=pcceajgF1E`9vl*fc?CNBy4O<BXpIur0H1iCJj6oev5^9c_YhV3166+<A}F>
z3o0$#5#jOq4b}~3DaZAVjozTzsP2zZbQumFy#Jd+52b_+*uMbVJ<NDdB)7?7!r<0H
z@reziM4bNt@oMpV4he@1e<EQ@N=m?a#Zc(Ih@3M~t%`f}IV^mtAI6o5hOmJ@93g^5
z=1m{k-&6VqWt+kOKqizZ@n9e0oJFPf{AY{XUBLT80BE<f&w)U1$)%%|t*WzNMO;4I
zg`$@#zI?O*J^-9FFw?mRd^XOK0=o-1x+&Tf3@BHUeI>NR$C0{<Jvq@))B-rfCA^me
zJyY=|Y{^@63*xrMepg3}nLZj1bOuRu(5b?#S@;nc*zDvf3t>^+ing>oSl=+4WIi{w
z&#XqlY&b{Im6McTwYNw0F5tn9vOq@_sabtVN-^0ecB<pxq$h78l!*j?%vG$h4&cBK
zSy@~4L_}=CW2*I8yXQVtqxtzOPi!bo#l}#6Q(Xdu5!$JuYfl&&+GKfA*S6ELv&k?w
zBE%#)%nGN~&1UrByV#(5cOLdaVswb-x72(3xeWxawzjqo#~ffb0@U8}F#!C7j?5a2
z-WgPzN{9&wHFry|YMNTlof;YXXOS2!k=T;g`<M9z8R3X-Q-Q)jkO$23o_@{2;Gq#s
zcvuf)xhGCvrAtWkw0$6%ZaJ?&M>X1dKTIs8pzAy3kj{kt9=h~2L!!O0U;3TXN2|e^
zuTfAH($r}a4vesV7)E00R206^+ctjO#Kec=XoJd6Q@w_Z!lA@FW25uI37jLjsMRNt
zZ{h;5=ocgbz_jW`OS3$t$lBxh!iF%@cI+#xHfdRa|3t7X<IB?qi#mzqt#<biSqs1j
zc1$)-`54EABcHH-H5Vcx!&9ZhoD>d!)K*Z^XtWFC&4)n{I`1*iK7yDIzizHUS$125
z5kEFR=~Bk6tz8&I70%}=;G1FUN$YpREfa=pZI>aJ^Dm^N&`l!l^DK`MVVd$|!_P3C
z-p$5!XMEtOj8<fI4;RlWL$`;JcZ`#I*>E`aV)eU&J?fOjkVkuLJLt#Aq_L!6_%>o&
zC58%)RxHmAQG}5|QW-G}hwqTUL;qk)75=TsO^Kxh#PX{+b$sZ>G_l>`gCH`<p1*11
zq*UTbE)?~8>VN|f^cgbo<itdEb@hGy)%n#k+rSwMRu;w4=@z>q@#O4=VKIi}RGRZd
zV0i9WZMqvhXL0f1vbB2XG{$SMyYF{>dH3h|rISCmZ-+UPw>q1)`Q2Nk20Pm<JJqV<
zuyq>mSvN0(s~Wh<&^LqCM#lOnPZo_F*a(D~7q<vnqT|?@u_*hs&OZz}uYcOM-g|r7
z&i4?>4`I8b*b4&bM&R=jOCKEIBFJaK_(U~V*rtc1#_@_sQHb_ZQ$S~T=K)1Wjlsx;
z<VfT9%XZ!GfW>{KlG>o|K?2h-ra;H+juWM}?vWWb+RXJHT!HHG5SAb3?KbA-@=ts)
zG%Rigy~5BB18*^45E8BU?aO*5M#ch9^rTOo3F?e3@%#1Yv1%VPM$M@A>ql7KJ<fvH
zTimeC$Pnnoe0<bskUla#n;VGLo{02-m+SJJ=#O}5NZ+5Y+U~eA>Ja~Fs_?+zqrN!O
z)>|<u?<SqPd62L5O2ENy<)Og#oE_V@Sm+|R9Fl|Pz<SvlkHdG8nHK_2EQiZm(SE>G
zkg*NZ-n(Cv`$XE;{O2(^6SeGKT|5E273auP3U<aiO&55SyCt?$-Td;{)^8{Gj$`5S
z3}cZLYZZODwFwy$M?<Ig!!84gn(A6wr(W0RDS1hP8q3F^SEC;`9?)P!OGVYDt6J_v
z9aGFIp^sbp=c0Ylu|9Cc_~d%;O0j2;ur_h@^41iM80HvO@O1>bNR{scz9sPz#Ogg(
zKb%z#@$`*a)_YiaOl1t%e~2Q`)P<JRiH&eE`^{R(24NT9BJTtE<V&(<?@*6Yk;bdV
z6z5>+<SnV{yFrz-DBMA>0201e=(uj&STe+<y9yi+)Q@B-%c`d%o>Z(mH$&jA?CC~T
ziuLbXm`m}RHI&;7Mp@${tiN6-!iq8@WHADR)-{*@UJ%Qn(<PW99c2jIF3K=ZAo20E
zD(V<SXiW+Iy=fCIigP-0e{R*CT4NTZEa97jgGj!LE?SC&?h;OhCHx*L(cJA{W<nxn
zGJSx7W4Ch=`!Pa3(%8t!%mkTcVocBg#tiVFEI0~p8*Bi{+bKZeP+qJ1=2q_ZG3X&+
zgaooFE3Ei-NzYpfQb+E9D<Y9X4*$Ruq;@0lvom2>X=CsX_+!fOc`1FUl>iO!@74rG
z2B*x-4b_N5GUg9fd0{p@0YhrkNs4Fcd>S*)x+0L!#fDqFk;aP3%2-WF9(&}QDMygC
zlh+)ZC>(=JY)~BwEbjoKZ&4K}%jk#2>bBU?dtnLNqQA$^vYS6s?IadW{tO$L)M3Lk
z`*ShH!Xl3Je`G(pDLP&ng4}O+FV}6;&-lE*zuzk;)sd>Zcz9nf4WG!n>GNCVpjv}8
zlFc2yZAcg##+U-ZDr0qtJ{<pKWM+1B8A#c_P~sJx{W<`bR{6~`qsemaU6;tV`E3kx
zfYH5T$u-)y`5Q(e<mu~2FLO2{#M+S@RIcxP4b1L<%e2gTsSFy1gk~}C;^Ld7WZ&2D
z(M>dqjKU^kI<Z>t57Dw7Jog|bF1KdNu!$D3DIYBNlKU3JPqLrY=TDEVm+_#YlI^l{
z_`*@D-V_{GP;3m0V7RAoI4&Mi=8@`v{UZ=3VS4F1>nx-~5|*^<9ox2Y&S~>LMjftB
z4+F-_Z#CyMw2g-_8}~M+hbZtc6tp`5D*93$EmS~&?1y}eYc^<7)i0=^mqia>jXRnw
zqF^!Gy44<h)81<U6@jKW-HS^6;L;girT<g;%Uktib)cGgyqs?la^Nt3kph(Sqvo3)
zg5cKx!gE=osEsqu5g4!tZ%|BQ%exaLDcS@CP|bzt>be=Wh#f!`G6b;={%nN&8<#j8
zCG`q8Q!Zrg6y74dp_X}ZRiwvB;kK+9P(0M%uMydsF4T|tfxCj-C;rQ3&E>aDyG2m`
zX~pYb;^p-9OK;pJ0Q>+n4ld}Jr3SCK_|oAejL`WLZ)^$_tx2X`9q%5#s5}M&nG%}G
zDG0$W3nm>;uAiEkI<yZ4D`d8KJE4u%+vgC7axY;~<H}(ckHv}_n#Zy*#H&<?9RhEE
zZ<zRn=n<&|XG6{xTqFLJ+G^Vp-y<txnX;vqDvYX{!`NR2A>vdf*l&rS1#4$NDu!Zc
zW0PY5piTlQzq2C{V6uK8Sx!a<r(%IpRX`^n(i0G@>ZnD--eAk$lgafBuGnth!N9q9
zG`$!oy^#;NHUGl-178UI`QN&UjHn-AeyNMsR@c;|z>k)*W{ziKLa!I)*-qyy%;tL~
zUuc=evbeGWf?)zUN4@gFH53;Y53;3hG==g!0#}t1q?ITs8Dgt3KN-M$<bUwjyy0zx
ztL9Tn;g3ud<Q08A!pY@F)JX>FNv54IS4m4*{j{Ae*vN>cW~E7(JKHm-M(`!}tJkTJ
zMpaMTFFy@3E(2!<3|f{E@b|ci-(PolXUERu&k(|U+|Zn+45ZfacTE`-TnbD6B<cjE
zV51ISyv9jiu&8CbeF)sQLU*@^@n{^4iBN$eWiUNGvVI=TpQW1$tla2qMCR{mmT)3J
z{Vu?{e=;_Hgs)nK>R2*!CIw3+mOb$+fw8DV8JC)7u*CRxU!PIQ^xfP9j5GqosA{Kn
zkG%>x=x_F1fE8<lPw1qtU{nD!)(Mjz)5h;RfnIeIHz%iA#~53DSq7C6mD%1B4OLxY
z7cbP~cdwL6)su)M3I<G>$NEVTaI~<e;kbjmp?s&8-}<p@l1OuNY>sj#6-=o$Sg^iO
zT<~+2y(6(vf`GwCFh*t4)wWYyK%gnI0C-@C1xQJ&;Z{{oRMRl|#zz<g^{g7=f}5kG
zqk*HmT-R)VOn<nB{3eiEbPwz~0URMgW=th}0a`nZmO#8zo;D}`(#!Hd=kd0J0w9}>
zjm2i9RAl<_@ahNdl`BaUj02PDq@mqlE$@F1EF~g8FE3qJy8A|1|0NL#KU}_OO0<GQ
zsi#NISI`zCnu_F+>>^Xgc6OTXI<=_8qx)CE;7-h{Pj&3ncQkYVi~%9)r;h7)7H!Wy
zC}revJx}{(-{dr!K2;LreAe8M=hxvjN6$T^sM9<$x&Bt+8WKcD*tp~^+VtVWhtPi^
z%Pk-@w9Z<ncvo8w$h4Ru^o6Mw(y;~>M}ABKHW;A8m3a6HQ<#M(7&3j2Fbs|;DJveb
zdenUH1uJH{nj1;Cx1#rjUpcvTIKkdgAWo4EclL8Dh3)}fR7iUo3l+^FAT?@QuuU+W
z^vL5FiAERHla{>7xG)@je2sU#+ucI{fE0pxay6ASNLb9_p^BVfPa>aj*72*<0dN|m
z+F$tADGdT1M)(HTD?MBo9Y%=`fx=oHF=Y5t(CN@+Fa<wFQGifR897XJ-ncKEks&b(
zPI3e(+REH-g!Mlhw=DZrP(%>{&y^25(zg}vEc2}$AS$ZtcDB&7zN3ABQv%VCxw-on
z@r~n)cQM4?<FUqblmY-m1Zc7PX&Hy=j>FBMb;V-U-_lN2$TuM7@1S42LG_VMy$ty|
z@c6G+ZpHHzuYnh97lk0;{d8$Ik<aokXwC*QT~syzaDWB{{Wc8QF<b+Ja|Y=kQOgbB
zTYmj-|K(q{f7cVgM<-nWY&`z``SI_?*MF!Wl2;2hmcSQ_^2k|!@U*tEDFt$>?FT$J
z;3qz#2;7br2>HU);xGpOZDT9rIq(%gLfFaE0-n*jFAn0Y3Ge#!EGpw_o%F%~S*dwu
z7PBDkL@$vG2#x@9?@fVwV&OBHIlNZM=fh5JUlX-5SREW3o*zPDJ98LIz+U+CF4$Gl
zjC|T=iRfpN)a2C-3xGD(^)Uzny9)U#N|qFG>%Oy4zERR=j-RM|mvMc%ejft(jMbC4
zG3<jU>Q86BBr=w7b8bAraeim?`qit&k*`s9#?M!u%@2WCJiUW~t~6JO?8o=;sD;N;
zU6(RGYDLW_mw{nsV$2941?$`j(>n1UE$(OWUz#Hgzmh4lx881h2p{aA=ziNS3(EVC
zSDc#-(2EJFw^v{<?I`q~u^zLxZsTbNzB7>ol(yc`Y0%A#SpXFY)3Vx^2T=<jLm!)e
z@N8MN!HQnxMsQOnVZ|j<X}@}iZk>Z|m0evImovw=w<MczpdKl^Et4hpMFs}P<Tb)G
z4rgTb9o;v&yju2Hm%YBD017v2SZ#p^O*yTB6&zQ&K`>f2xI$1^*st8~+t?NP(z8Uq
zV?PPp2tf^>=ZS#lsGf}xyJ9qKXm1Z}dCpPIvJ`w?==dRZcH!XGDYwO>W>updB}KgH
z!I9PmEphpx4IuXqC=vHj9i>2&nEo>O$i}diV&Kf<-<1c7sK5*ZQh;SJDuaRtz{vaq
zBHPfv*I*hzX>~Aqz(X4XCWC)KgzF580cF0Y1}onI`*rhp?QZQl1Zc|6gF`_?Cy1@w
z`~LkqN^OoZ<OBBjTKaBr;$%~nFhH>|J#3=!Xc=%LD3e5OU7e--UE96?498|`c7rK-
z_>6s^RupJvX$MSPP)JaXK?0KA@cvL>zrY3ut2LwX5-tX$t?4}Z%h1At5$%9$YI8|N
zrdR+;cg!<hLF0mU@La|`{2}ibZQrzbdR>r&v)2WIWKB;i?y8c+$kdpDASa-PLcv_l
z2kL2<iJN7vDf8}Q*m$;O8LI4zhz27`V9ll~nS0nW`$1tEqBn|v>}5f{{8&T;tnQUc
z1mD_E%%884W6D;~#&5xhE91Wa5v6HuAK%A+)F&jeM3^RraDymxqHrYXUY3cuIUNJT
zMC40=cm+69Lx>v8xV1Dij(@$0V*~n>5wrPVZq)@CX^eHQ1+^T-0N-9`B>|qzA1E#r
z?>O!V*-b{46xyIY>-W3s)6iT3t72`d#6@_jdf{0&2@P3<7p=$3O9%HeW#5qCU@69E
zgLq_*kQ2N(aVkx>x9u=XbkBV%tC+D?216+UFT4mMQ_5)HGe(pGWr90lMq+*o1l_&7
z{obED3y#a|i~$ChWe2j3%}%xn4h72j9|1-E<FOx8l=LcTz~?Nh`l_{e@2kUYjlm-x
zo<RC*w?U2Q41N_7=AW70{|p%t3@u(&$!*;F<w@+Kgs$tCwa<e$Nna1vMWIfu(9`RX
zQ<Q+w1)M=0r`<1Hno&~6f4d?d1CACNLT|D|Z$Nto7G$vT2o+O;(mA3|Js=nZy1iMH
zEfUb(r@+i^4GY<qX9yfpv+$mM@#h2(Zy?vU*RXSw+>|m4#0AA(uRdP~V%|2?2y58A
znnE)+j`bVRtN(yv_jfO#>ji4Xz)R8s##Ro{4<gI}4^R5YiMu~QEwHqdi*!477#@OO
zLz%u+Syk0zw7S2HwFa2uczY0lTEWjuPwT=ocbmuLkYJ#akmzu5`z&wqLoiRnD0Dk)
z{eH73`Mm!$MTJKs8U+35!1k;m2{=0F#50zk?zDO)q1RG&j!nh|U=jPE-G?wUGo#M0
zVb!ihS4AgPgdDQL`59R3D+bI*2tF?|p2|G5wTAiK;_<qF_?Y?Jz?Ssq@}F%GXA0gs
zU_^3ahS)~YdTVs7onGI8sHF*E>pZ)~#U=;S8iQ_(wv8L0&H-x1rlottKsKUSn%Ww)
z2cS4jXa%pHFD`Z@d^k)Q<8U86jT^LnSWq!Agx<2lP>CJ!$7B4LfloU4DPLleAB`H^
zthr2qK9a1g_j7Lc338l?;gb=FBD=}4H>c=SnYv^O;EN#N)WD`7ypZ8X@00iv{rlyn
zabp;XVTcDGyy6buvC@<fW6HV<i39Yw30~*63^08FaNF2q?^6Hjwyb($@ub%E|Di$Q
zi{YpF;WA-~w$C3p>RP%412WNi>~~6j=g%P{!)0>NQ-ixdeE!CK1DruX-x}Il{$~C6
zu1M&=yY+vg4$>E?FN18=bWr3vf#t7=(>s&^wl${TH0u)l&Gtqt!(Wi9<Mr>)^+zCo
z3GTlR1SeSFY#Qn=dj0oj<!ReqA<FnAkM=S9=m*Ddpwn9MnUK0^<(;UO%vP;oly?sS
zMYo%qCA!~TPste3ASCqh$t}yrU{)7R7U1Xih9wucKYloZw;03DE#8tTZk$V1q|sK)
z{T6u90jPx1Ea8j+{sLSVRrc0*Ut;bPc0_>KVfk{hy-sbmmH70}e$j#&AgI+dllXDo
zSN|1iokKn6p-MEg!>04bS1<j`n|}TxO{9|w%-}QNq%b_Lig(u-DX(r(>=EzOghX6C
zn#rp@1d}cJY<s;~9S(A?iG&Z5PG#AFaq=)3Gql)yNWjd6oe)m_S5H<d1~ZZP`6pg*
z$3UOXrURv=BgFg)6aKh^g4gd1__~%qz6GrxAkDgdHX$&L>RU`oWWS~dum8JQXDNNX
z+h?Hk0wlOO%->cKS79@4X5bA65qyAhI+W>F85z8{WByc>lER)n0$%77AI^X$1jGdr
z)EK4E%jl#fLGC?#K#TjN&=8d|xf^nVAKCj2+~f`sY+jxBcnq)tr4*`?sEjyet&P}A
zCmCzD!lA3u7v!z{@8cxY51|<Zke<Pm?R=`I5n}xWQwpTTe2T2NsWnfS60E;Y(@c((
z3P||LfTatVsYJATxfDvLj6P0!8TC5M)<jc?N6gEwX6Xv&jpeN~dJnFp7&6T~lV5^B
z+8*!db+-%rMFnKMO*lrykfBogQ8|<#w49#yADE>S5x`!4ofWvg3FK6FsH7$kX7*eH
zogOkR_-76%<G_*U@8cs-w+)<Q5HPjfKN>%SF49Yo{XiX6GlE=X_@KOUZ|!G=2;n3D
z*v@*DnV$futL%9Bh)3_4$_fNB@~i5H&KfDg7bL*}s+e;mxyQ{xqB0Ck&7YH0{vZse
zN}0^i<^8_x+IK}pl{6IN%(>&Zd{uAd(K^`Z8W0e`3nNMu_fe&l#)p6{5xk{&KDEb~
z(JiXil}Ud&=4%rzr=W7eN@UD@_S{0sd#&S9^cgP{;9*@BuXA!l0YUV*M!0X(zoqjM
zS9UO~Pi|Op`_o0|VTjH12FJEVR}0lOVfvwL!H4d^_WNSx$v?@o7cr&rMEFsL>vK|B
z=wbGLrHdzJa(p5zk3oW|>nNKh2YpI$=O@QJ-6$k|$gd4n;dHW2di}5E4tVG6W$p|`
zfO9<w{*k!N1!XmiFnD@79ki8LY{zKu#2_Y&fKs9O2?w!GVTpsXUz)qX9LTN(ujDTb
z0SMK$uWlX>HXN!~uGLVJ2>tv-U2SdQvC>;{ab7Dd4G~^lax#BMDmtGDjU0#fNFv-E
zDw!kiR%zp>iEg#e-y@shDd=GzB8{QK&!HU5x`Vj7#Sg+LtRT^IE$7kqBj$K~iTLif
zAMd1|Fa_*+!eRoJbN2#DOG{r^4J#v7-6_$eI4v(p&~M*On=E?LIshDVd;2+UMeRR%
z`LUj(&b;%g1!wK`O+cH<;g){|fTzXnbT)bqh^fGYprW9Fj^A%~7)%S0`hq}b$S+jJ
zQC4fG9q>af0SsoYY5kf}!XXy@FVN-DLxO&TyQ=_nx|*-P1}Bmt(6?wkr=P&rC4c=c
zm_JMNQR>V^c?NLA1LOs~9SSrDo~;5Uk$%@Gl}AI8MrhK}$g^VV>M1ttZ;~7NqF$Q{
z`bhsK#&T5m^7*e)3LWD|vWilFe}pB_H?pXpT!|N^ey7}RwDE+N*&#Zu)r;7<iRYYL
zTey8aiHGE`C_X>DR8l&;3@p}$(b2it<6)5gm`ZaeNTa%FcSV#4d=t7qO>>ND(xFbm
z7N)N{D?8%AekfGZeD<xVccT2U&;DdFrF@VvF4*?0%hjCj|EOF-!~D(^MZV6|V=-)F
zb8Y4O2#sYZ`MpDl=GbS}x%Tc;550I$L(iw7r(%$x_-$zWzM{4uOZ_s1ni|-mmvs_>
zk>{s(YbMeUoeEDQ5rRn_`My}}^TL2|H5m{P@t6x7d{>Fm(rPpNiwb=L?s4x9u5wJs
z{Ih|90YLO!Ektpuq_L<Z?&LgO^zBF<hsZp_f#Bvmb*HtFg;}RslhAGH15tt=P?!PX
zeP$N82BlfHF`PdV(P}aqo{o|B4<TBHQk-azXy~>~33j#vLekjEKyohI+9kO_Ym>+q
z<I}yR*9BtG0826(su=@)b^c4W&1?<qMtX$LmdQ~-W-^6^O%VhF#Ujy~`5Eo@>9Osd
zXtK?+@O{kml?6k~3WTk^w6eEhTZ>(sk2HX}90ku;L?M89fcS%KAnymETsmY@TQr~p
zXC1u8fVct`kcAq=LGV$A>Vxqc5KGZeUtixOt0wO^dhb%cZXP4d^3Sa0>TCfO|F(S}
zj1&`%v8trgSqx%ZzU_MW)d1RUP)&{>Et-7X=d@+tF$oX(qL8mQ;dWt^@BCPJD*r?C
z?vt(*cnL@W*gjKwB%YT-!b91aWamB8xXjAXF?cgosx*@)vh#mh0Lv%$J_nrk<Z`mr
z1PjzNj@2CCYE$v|KpUA5P-W6x4qOOWW6u74IV)OakQpN-O+IlsQ6a%}^!ai1@n_6#
z1%SF17OawD?+1oYWIVLOeNdQWa^`Jv#QC_s{aErx4Y1<<45}_Sc#-uz_L~C>EDfU(
zX}yTX+w;s3SNv6E7W%g7+hqvBo4zfJ*(p<oLxE{m;q3PI`}!YtMbg3^4e6>r6E6VJ
zVCDKfVl3Gd+qdMVB(8)^uYcM15bb}pa?Z(qz>)qbkl!uZ<kODFk?=-7gQzFSbi-Kw
zmrf&V0la|a=nNqT+vd|D*kTYFd%PXzw8YBtH1q1&C?Yu|xDWuw+a0?Y+v!fDx{1fk
z8MWHh?eE!s{y=V!$0<kA7&Fz9LpWPRt^BVAzQ4^Vz&SxXK^hC94>t0LxUgnRrfJd4
z)YOIRzN7)gwxV^ulM3f@=cLEY>gDCL0WT2y=bl10TCT|uG;DGoGioGyMm`3<+1D49
zaSqT3PS*Z5S34!E=w#%(Qs&m<+X+ul1PKTlL+&Y)y_+93R<dhY7Y$%-L}`MP*Y{Cs
zQ;_)p1aR%4zXw7)y>EE0|8~{`5)KS_A3ppl32di3FHulcLG(|z{ppw!Z!KMR-lWUs
z^ynT7CDtKhFAvlCWb>u&o(hQw##D9nS;)u7WIrY-BYTTh-4j^+Bx>j(dn+x+X7>~A
z`0XS!`EesmSC@~BdtvejI~cQ5B%(--2{MSy-Ye|LOoiz5=FC29|1TbNzto)wQ{045
z7QRRO{vGGn@0S2$qcO1u$$w6NHi#KT%0+lv9?Bqa^fk(6`~)Zc08P|5`NG=9cn<hi
zKmXX!WQ!Jr$RPBUO2@I;DRacw%DsAF!$1$v#ydK$aYWLHi>B=Hudq<!o3d~1@)7$G
zx^gL7pdwmb2L9(sB5I=B_{~s&^<z=n<$T3&`iYOGC3(n@&$br-c;a_$>fMIVI37_L
z(mS$UZ7&T8=?#<R|6R$&0yYbfmjg;Zo2db{C!A$UX8QFa99H~rY>+5S7O{;Vt}F|S
zNfhw3x|@2nr<rAUU-E|xnL@QHF*<Lbx~vkmY|2F4(yrh8IgnP=EXj5zp0<zG_2D%W
z|8&IQ{6lKnA(<gKE|4IDgY6}qL`w&`$jzLfl)iH+@D?rb{*ks#02<nXgK<ACDtBcV
zCSoY%$3Do^0^Xs^yQ!_0kN<*k=W6%?sK3)u<?C<REe7<@CTb}|WiTDP{-|=t1P%b~
zFhij3HRSpStj)jPJr5l8v5&PZ1q<IDDq}3<XDNfZn4#Zb3MET+#33#OUJe-NU~<Q4
zY$(Lj>dU*vHZV{KU#vvvet+sokITYha%e^=)h31+9Um66qc}n7Mf+O(8Ha>V{4<eu
z9f(Yrw%=QoG;oCV8!1%J3RHdy{9|u`t2+#Os6u;#)}NbSw<$fLvcZDEm`Od!%mVK{
zgfQ6_!R$!lbHmWgU;PFaGdrFa#?`Y+EBWINVIZv>)YQ}%yxt7<ivTi+SNE+c<V2I1
zqi{d-3U^kSB`zZ{>@yVCFse7c23I&|jY3M;II`<bELXWQbWL{y<dA^#Vk0Z8oAd*r
z0rQ77Z;Ux8dK|MZr)+gg$Dqven6$Fg7FNR!4Oo4U2km?TB(Czv3Gc5D&?5rgQXMX9
zsCkc<XS{lNF;jDg371{qY|{1;bjmVqMWg;QeJ}Uxwa3sR+D((hcj$T3vDnv4Ia^gR
z$PFGALa+=;hE)5rX6VkylT1fP2XZ?jTi*-A#rPFhAZU)*%C_vgcF>$GIlO|3s(z`i
zRY?#5*R|&SnPVi^jusOk7?x^5DCF+Cy?eF1s3}c4WiPEHv5({R*v>IkF4Int&sJC|
zOnp!@OUzqrA+cn?oG18z+u5Hn>aaccHeNT}&@f0j9`B72=e;Il`C40G!@Uk}-H;Zm
znfV+<-<MQx_n+T8^X32gy#Y4WmKpx9X8pDXmEnt8-B2-(5~rOP2O>F^J|G0e`KFw|
ztGW3RWrfo%u#De|G4!Q4jNQZf4Irg%kO2Je*N@o8ziB?6(a8V10SGnc2!H>N!A9s%
zcuSH?!utopgfozyIC*UI*#Mx&HJ=9_HqbSTWgPEoG(C$f3CD%WGxn8_JYq!Om7Ku2
zDq+!>0dbG6c0T2A1&TK_bn_NvCe_-*WDuFE3NXTKja7HK3|*jcEYMV9S2(^9<@Yeo
zI=usOrWf3XHZ{$2?XItKjMOtlABjIC3-})A6*CCQb#=9RY0BI*?_6p2<mlIG6DQEJ
zU8hWNEw)&wrrEl=afx)U<`(bYg#df|^<6^?{*bDM2;HoWI9eEVwW2V--hV2OyW$`-
zeaJ5x1lD(VyC*L4Pb}wuSiSxO6tH`CS!lo=ILcN&UgHbPwNP#Fd+Nr=OPe&2IWQ|%
zOyja4ABC&@gcsv=wyr0Zo!xriZK|u`rszFcCf+Vdfs4v|ZL}UgY_#n&jRdFUj6d(!
z4B?!-+#<rxwGswt#8iTdy>TUna~@OUNVB5`(NFPyw5&gWm(jM%zDa_AZUc`W0$;aU
zb@VBq^4hh28)rRG`K05h`Hoh89}U8b(Kk8$E)60=7NDGnksgN_IJ*7uwz6c=_3G}=
zGo7?j;RZDZ4!$BLE!UQ5)y41MfuggOxe277a$ge!AzW%Q<ZK=Nvs6lP!>yguvx`Y`
z@VNQi)L#fm>We<RJ8nJQ+yG=Ji^{ZxJEcOw=k&XL9g@7Y1=oPn0it_tH$#=__QqKg
zmcF!m{h3brAYvEz7AJrwJMOp1f1qbT+#QITwsf!Y8K8UKdF<xV@$c`Q<#qdf@ZXEq
z|C%lDnrrfofVUc$7<oP(+3|D$(DUK}KrI5n?er1Ao7-EPt^O#G_21w1fB$(PD?pxT
zcE~|CD%PnBpzNsL976H;Kw1QD+fSc90X=_c7l`8sLSb30Af6E<U{}YGBjnw=02uhk
z_4O`a1o9KFnX&PKuej{eOqFgKrV+FAJJ+`^<GOv=cKSk&*nX!$w4X3!5PRuO%F4>N
zZwiyM?c8Q9G8C6uk^mb%eNX<1>8IF7D$(HEpWZG`J-1k+Ihju6b{Y7Mw7#j@E(I)j
z<ZAWR!UrA7S$4oge8l~l$x7In)oqvp8aAM;k~TUqak>C!o$nWpO)Y7Iy?pmdKFny!
zjYb!Nu+0mqc<_*X!@s5_Veyhh1trlNV1~dMQc+GTF|jygmxYIymkzfST-{(ooHh|*
z7$M}z+L$DO#!xkwq|^L82U#^3yAT15>$lxX3|4wfgBJl$-a0;<K2FcuYe-W1&cxN8
zhE^W)Ecd=*?(6h(5P&j~fEH5qBsV|bwRM?tx&1+bj2L<nBQnXH;vk1^7J(~%{NN3m
zSj1S8$7S>&rt>_P>pujjX<h7vA3&Gpas3I(2-)|pgfYZh+~$wizHY?7`};nsvN2Pf
zmNQvT--6o|@=bIHAb9|6Pr#O;vH{y1Voab$QJDW^RxwFE1NYcqUO9ovGfcTipJ}&e
zJAA1-_^!62pw|ilk*-c%oyftIkgG{e8Ac|C5tq}Fpd~`YE?A6i`xP2%OMp6oqkMP{
z-~$n^PilFGUBRo}0n;i(N3KUQe^`dCJdqC<3T0-(gs>>n9;=4eYR+g@k}6DbYo?A8
zm_mx$I<1R8PhrC~j1`>#As{9urv8*LfP-^n34?MLl}P|H3hqAsEa#z<@N<3kOelNi
zKL=3zeAmhFtn|gJ2~61^DCchBixVn3Iw=scJa-F#l>nSOV7vI(ybFw8S#_a*4jF#+
z;DBIU9uVRH-$Vs1uKyle4+5ziKR_x>0)SWVqkJC#YkL2LLkhe(5I?K5g1@7dh$QJz
zz(dHRy~Yvc8oB)lew+EuU7;QC0B7g#Rkz~w0o$nsr{7W-JMdB2xFB_5mS|se98hr0
zElggtpqCR!<P_`Ig!3@gPHjAT&?74<lt$Xyd88+sO`2W5J~b$<ms}U~V+@pQEZb|=
zQ%_{U9u??z>7;54B_6lSSzOsrRqyQvBG(R6D@j`kAOiC1SS_t3Q}O8(%*;^un$DTY
zDKzZAe?23E%Sc5T`*JOx`zKhnUAPOlN5=4D9^i{QzH;{~&W)Hg?@dUgdmIAtfII70
zTI0r%S_^-a6EuXo$RxOCn>5g&I7Vsve!o$+*qfW1)if<xB1w=t>EuwuCSo?ox*vfi
zNvBYtxd$>7fNd>shgE3i-4{wVGkihYqJg&~Ro^?(bFR43J=1x~vl*?jX&R{xg3ry6
z(IJ?tCtqvxk{*M?T5M^<+@d-<l@$k7;sir_le12#LhkP9jK%_!es9}hOb2xJ5;1;v
zTnSxVPtJ^C2pU=h3w&CiA~VPV1a{mxIQjYc+1Y*hQs%rQ^=8s8n`fX;e=e{33`j5C
z+}&JV-_7C$J-im{N<Jsyg7n(G{bZBP4$<Rk2kAytv(AP>QR^jO4FS$*SV>b7`PS_d
zwy<G@U068DJ<oBmy)7T|`DXwHFXR}{vorQ-J8gRVlDX^sm@7uUvaMAZ2~D6hF=VC(
zdi&~sXgUk1s=lvlAG-0<E!`lU(j_e|9nxLWAuTQ4AdPf)NJ)3MGy(!D0-~bdzQ6bT
zI~>YzDEE5LIeYK5)|}6@7<nmZ$)UC={vKzX-L*C7;klWSlfZa68aOGkkw~KQ<Efyg
zl&Fm)Aus^b8O}=_q#+2JD{MhiBSRi|0_vOi6Tb{=KLOMv5nKWpm_eNpSOI#7ehWwS
z^uuW}U%?#o4?Xq$*xT2C4*1nxU!DYCg3j9=+)7og2XLwIgDHFf0GO!%;Ijny(95G!
zjE~Rrs`suBaJt~3+3hPm;9v?g0w<FH?o+{PDC&g??EwE3BH$*#ztw+_0a)WjfNgnf
zYz#iv__qw|V(_);<Ex}RD$JkHsDpk?{6htkp8=OIvp|Rl`_C;t$St<`R4EMGfq$$k
zkX8a@%L0#Rdjakcx7h2yf3jDUrhKu41Si;)$)1QXTSy7|$%a3Eq5V5mHipRSkJ_d%
z#6s)b!9I~H)jz(F?Qn36o|x(7_1eF~){yce!xzsvc0x?hoMu;K1wGw_M3YsJJn&q5
z1IT|D;)Td~Yxzla)W?bFBl%V3bE31@FG+=@SB?f{dNAGrv6BlwIb$c!+e!LzKYP{z
z<QlF<k<^zkRZ!pNXK(S2h|R`DM;cBANK4x|>R)6vPH{urAyIBtR)_F;B`024n*Wda
zXN#AH;zl{4%lIgi@yOMYH_M6Zg_|i1c(tk4+jR;glQJGtPa}$yO^`)XyHw*vMUm4x
zV9o3oOXyAnv}AxTP9#5nX)`XGk6SA#X8%m$1=UfVvKfKa5+fAW;iwkL&JMIfLi_^H
z0BQsz{#hF^MZ5=~LuC{^v~UEvBwZ_x#*WCGes18jan>*H<We0#tVF=$SQ4bq#j>1g
zo|yBPx#~E;1yZ|e@zd(*G-L!!jj;1|Ht@YR?*gd75xLTZp>{5OO<F$lTDMIKp%lB>
z`S*%irx})|lZAyvP*8qj1`oNS?D{Ion=@d?BC~7*K*%zO)?fT@^8TS>jCqP@6Q>3%
zY|yIkJSXGUh)qV|4aeRto*c05$J1nOMMIRhlaLy&Xp~wjcMho3shUj_WiLu#Y`2>n
zNPVp!H#M0=YZW#}11&HzelVIwl!n#R)bNu7o2lp=B?^!ytRCdOsMekFt5^iK<-a?!
zQD4NTkIP0wWZ&TS0_@TH%)70Ct6rnB@6U(ehz0n_b@d78z`px)$Siq3{@k=RP&nG+
zYP~4r-=gHh;`a7iTG`u>qoX6V7yoA0nCftUDJ8x2C1OCG{u{bOYpHs<mOcAHWZN%~
zgW$dTu2*R~B3e1AP*@U26FxD!4yE6yD{hTB-4;nx;iMtcEC!9;3%_#i^cmivxN<9d
zTU9mgk&##eFv$iLqwj#&TM0ARJfMOeA2UID|KHOA(hU4G?l(AI5y~eh(1*BWws(0~
zSCY>kPI1I{B5kU@3<)JP-drv;zIj9qxFJ0lCvQOd5y3o*m%@9$BM)4g8IGu_t2^@E
zo#DiarKR(mkDqVL65il;4Mb4A-Bc>|Lls+g;=7(2rrON=(yOMYr?)V(5p67?P=R7h
z-fk%?DDU`q*tV;N^^rQH%L1D^JPV4$yg{}`M~{Z$<2Cz9O(*soU!ua2x)Bj*)E2jw
z7w*TlFf((r+nIu5H~Pp9X_4gZS|+T{nI#9hFT2iB#kasD00hE=!AR?F%2@#m5bOYz
zwze_?_n7v6CUq4lDWXP1wsh34$8-p3*ieFHj8-KGp!#mK!303nM<B=n<cEO1ZpP2M
z2jFR$@~$drCnX~Tv?xbZ3|ZbZJWNCeDPBW_3+hHQUnD9#cLxU$`UX-HdgNEGdu*3=
zj)c{N$_Z;qpKxU;GY$_FlB8NG80}hpwzjip(hq$>#j&Q3u7(A9>*ZcMbrRB#p$~gW
z2$b6!Mmw(v`4s>lan4ev6V#7woXA7_RT(n_ky8ruhZeA6!vwyJSg@7BEz3eexsyR9
z(dZ$<7;3Cx$M~!&MuNYv10L4@0zZ~p;S?}J+-8B5aBI(PEXgRELCL@Ou{%Kr@ZtD3
zsYsD2LUxVQ9Gc(5UQyb*xYT{RQekZ^>4zY>mynyiR=vWqt$1h{?Ya3PkNRVumKIql
z)^hTe30_N8&Gcu@?kH^g7H@>8+)xbUIoxMr>|7t0n)V-tZw2)3Wbc-K=ha?@zIOO4
z$`N}TWLSgjfF3Oe{CP0rRc>1%s<r-&=#JD=;hUkZKI@uh<xYrzLmtN=F5b*7;N|%X
z|K@j4w~vJM9miAb5#KBwwF(Fi;^r1ObH+D0r|b>_vMW%R_2=7yR`u5<TTDE9deLlo
z0w3TT*yg0L2bs~GJU9uQH+}L%U5unH@$(9_q`|!w))K=eG?7neiW>xy^fLKe2giLw
zJxAuG4)Cs>ejIv_ZQc+ywl0l!=+5eG)l_E-m@h}CBS;ln=bTXc_V<8FWAnx|o(3I$
zaw_xQ$P}Ypg?VTpWs9s`-Mu!h)k7F-t8H?<d5Hs2#&`1DQ(|Z$Xv@Wie<Vx#4kTPX
zfyD#O+XSQTaM3ee?14UO`U~=_-Dt4+#JpcT)v$#+73mQ}8V!N1eXlc%erJk%1SAV+
zau9P)PM9ZYIvA*zY4MB<TZGYYAMB<$uj>XV0|6&$d|14vt7{Jt&<j><Uc?nm7*l*D
zw;hzDZEt%Wnh%$n0r?91i)6aPG3+8|D2BG8pSf;cCGw;1XO{WurP_;s`_b>WUEtY*
zQIkzIU?&DMQXn%e<D;-=nC|CkG`GTIyBM(p_CeGoshE@}P4mZEQgUt1kE)~JV3Rdv
z_I#~4z$HsrJinQ_RWA$1#||s_GD2#@fusOQA#*zDENp<WHyH4xFxUoEyka~+qJXB3
zmZ;ssF`eD;qmeNqvzJnkm=T}(@kI11o^q7yCkdn^swAD?0{=}PE1{}VSWC9^OZpe3
zT4z8w#?{cWkT66_@P7tCzsHswT#qHheT`QvUuH_s9E9BRRUgP}wsdxi@bEOYMgrU=
zgC@thGzoerEXlu^>U(g2jg_i8v5pe=Ug&Epe}5p<@)Mn_ppPxqt1dH`Pwmw~qKhkB
z!!OZY%#I{tungrG!zmv6CmCQ%ZfRh;^6%uH)3*D>MYlbpuI$d47**r&ktR(Pi)Ipx
zh)-DuKl440;&B2NIX*@hSDKRXoE(a2bc|HIg~ohD5*~q91ew2ohG}_4SNCn#Z}H!*
zet)^tebk=&%+8sZENXM#U7xLh`F8D$$cImN20lG;P4S)QT}F9#@u%q@mu)X?<JEvj
z1xVxfsjAar57rRSPmk9diV~pyT@_p{Tn9Nt{lbpfPK(lLcc7CSSrdI1ZayeoT~57r
z)7M>wP*)qI7$C6tO-Itw;>Bh23Sy`&y?t}MZr9Kyyo(4Ie2_fqHw1YR>nizy?038#
zp-vVYAxIOIv0K=lwVSAHb&dohNrVtBK0OwMJ#HI?&O3zstUR5ab@tk{9?eIi6%X%<
z`$%6IE*x=bf4Y7yuW40FB*ULO4d$cnjkCF7(O?{7cz%17I9i2^Rkh4UW92szco0=L
zI;ho)B<0|rdYumBPThR_z-k5PD+UU9H?39QNeawS)Xg}#=N(#IOe{0+6v~=5PG14B
zBJYF-fjw%rY|JB<P}3Qz5f3v>CbpG3cA@Fui6$pUNA|>nCg0kt-yq)6)3cf5)!PtA
z(fmcBNxq?i+`{|ckB{P$krA7=Y>4zG`?U+H4p+k3%&Ur*4R-beYuB9;(SGn)j%*2x
zAO=r4Mm9N^)a+~Zk`((6h=jo6EX;ho>So?OnsgK1N6v$!^fle!jJSetV=(RoRizYM
zAG(H{o>Rls;$#+jM`;aNHP{+w<Id<4dfW)i7NT<4eN)g*Ik8~B*LFDCqu@tNR{o4M
z#VoNPtdernS}G!K!E3weVP|+)E`{L)%~pqx9wby4v#J0k-SVR6g>58k74xTXB0|4^
z4$0IrE&*0|h#{ehUg)KSSk~j}9EIt6IPk~+<RJwJODf(4Z%|8+5F0grOmU@u$$NZ*
zdvQKl-ui{ccuHyb^3}sko>R22xVX582${U5#8V?ZV)UV}xRwg>JSFoiv!0I5Ipvy!
z=|Km`dm1s6`5}(?`!s$Gn`4;?*f?%#*q=Xgj^Yt`Q1K@}?H<uMJ1M`1grN|GwwYU;
zhJj>kT4>9k@+lspQgQ2(il1CwE7C9q$m9r-p)bY*Ths%$CPy=qd6}HvGWqUELMhV0
zry!`!8%*ynRu2D8$QH>dxD*NC5$}?kLxn9rvSxHOlihP%^w^tMHY~J+?LrCBsxTSn
z98?f%X^^B=wAMcZKpuGl_#Df$fWiJ5sU;xaPW^3INi>W9lnhwMLPBT_U0!}!8?+w$
z!2>373p5e<CP>PgbnVFq7k<m#Hkoq6pgJ*={5I@iVco5P80yKdz{1C6MH&Svk)B!{
zOxoM4Pe6FK>H<J1E28=88v+biggIEa5&FVWEkJIY*8Te5Uy2KB>)Ghr@8}RIFCrZs
zp6QhTiq9aMqx&n^eAu|^lEG=1hKxW6f5ri_fg?uf{21B`o@e16EwNatfqJP^d?Uc3
zb>JHd?!fp?lS`d`AJKex75@)t85&z!z@)Zn`3%fOJ^>;{&@K`+DH>tIx^^0Yoh~6%
z+R-J^@@T%8#~k!)7iK1ky;QgD<9`(H8bMNn<fA`3-x4>5lmmLJ+)zm2Om4Os)j38Q
zW^BI>RLIp8FN}{^q+s3QQCh<NcG|5l;34=zl<Qj-zT*X;d`1oJb^dLZ*F0oG3qf_o
zXFhOf@m(q)#eGA}p}j@sYga#Y6Jv1UNI-n3U+YzHl6U~avz#&v2zFCIE*{9)-ZHfD
zOhtO>M?vb?NrdZJQBiScE)S?o4@=t5@3(Dp+O~Bj3lfZ#YgtQ`WEQ*SnBS=Px}J$w
zNprh*V|<m@G$xTYtke-c>DC>38x7{Nf<i(GfDFGrjQ%mG@)>0)9vzvpVhDLC1@}cG
z$;(p$w~~p0uG1gy*NbcOBI39LyHPk3v_ig}dk*z@yDJ(cMI{+pVd!CV|H#Fz$?-D>
zv=%+eUAdOVMt5gXA-WZZRxtjhK)C=<VZia<`H9XDjjRq%+$4eDah^E6))*KeJT-H6
zJI01X4<+;OSI;k2LV){z^_gJn<0QsGY-7Yja}y4TMX;$N-Zq|@?vp9u-v~m}43f|Z
zWTMbHfr4lDdo+HCAh;#&`$v|DwT%s6sR3<mbda<lA|!NI^{V+z@5X@pBVg?{sMRy7
zRkz1uKcAwo{B?dh_G-e*5Nnwm8~8)7Y<BcWqu{w>xhFGTqEwEYc8KN+K9j$=p8o!a
zNo!+k3qEKdMZdp3c~+u{XRkucAI5Lobld`GK~P)}0)zw*9XC^=^z0SB?MG)3-1c2U
zy5L6dI7xesfb{sQe{o6=cfS@5Mns64+Nl`w$AM;ZJOmt82(}BYUGxcpTa?U`WUVuV
zx%drr@K1R8@5P!45^dH%UU?+YL43N0Q#XsiNFnj9+f>$e(UQmeYy~x;rO}(3E4ODB
ziP0+?B{u}KHqWaXl42;zTf=M{NfAQa3CU|dyA7&~9R4Dl68=p&x|dh+AZJwOi<@H%
zAhEJhNOxl={Wxb$Y9x?d9S$GKo7sSZ_HK*uPe`zNAO|Frw=J<nZR%D!AK^3p`kqur
zr`6_Mo?e_pl3x1}#MlvDT<=?yy`S+k@<lsNfv22m%HfywX6r~qT4c*FZZ~UWztawc
z3Aop1yAjKzk)#x-goscB%Xy9Tc($H`Rkcau9htLV+SGYj);$VJ-8eF9T%PKR)+GB>
zKmpYpFDQ%KpAg2pe`Sk@=VWYuyI#=wL93GE$&*Vxifd5rnbtp}sKA=U(>JO8t;AJ0
z##=FDOF#cPdz`*1l|{Lfc@DD$O49ckCQm&0NpQ!={%PmOTXicES!Hn>^mXDE!8O&x
zDP-f-it<739=Cy*H@Q>{F&VUeQ~3G<4^jYb3v>!TVv3Fz04tZmP}Hg|Q5x35q&RTJ
zgD3AQ1|UOTp<4wfAS&(lcTj%2CA!D4?yLG>-Cp_w>}(V(DYfRZfD_d4^=)J#|IGhs
z0r0<C%Q|6ckXHB8O5u(~4jL{D4~XiT%F$>K1uh`8GIv@ASx`PT+4HN5F>Wevad7_N
zSDGfvm?obddQm|{^3I6*!puz4eSdfj_F>eW@}%o2FhLIdDdZpTtOL?WGoq4GFo@aq
zF+0t95?jpi%;zMW%F+qcRt^qTi>H7@#H94HmQ#BU=+|B2r-Vj;#mpz8q$+FQ?IZr1
z5Xg$ag-*~sT#hN8hc@CsIPrk{fUdlslRKcdh#IPU1(Gygrd^!F>e_0k`D~`Lx`%-N
z^y*>fDhP09IV3@RAgJ5HuL_z!z;XoopA1UD=k38D+w0sCFd3gvon`U($N`G`iZGe$
zaJ<P?G>jpq3k5xvD7^Ufuz1Re$ZY91Rn6(MwonW`IZmR+#u0(P$SuaFkKa=RHbfoZ
zpgG(C4O#U!549zpQ8vLq0v5f9wuxx^LV3%MV_$hZ9w{l_!8Fr-_mq=X>^DO!u`?sH
za;?(%AEO)(9FVFGY-5R%WJx0p_}qU<G&^b6dp)QnkS9eWFc*~ZN$c6Kt)K+&j9ZIX
z$cD?!H7%w*-Fro9xfK#4J<qIS?cPEr=+oi>*Ej`Keg6Y8FDe#USKc9Tma36=aq2M4
z6LXLbL_Di(VTD9R1?%_@wFj0$16-LwAk<3W^?1gVj2TbJ)c4wH=9l=hL?3}l<m!(D
zc$22}%tG(dre1D%I`d|m)NF*xcG5|(XT1CI3IF;RCRNtrYy~+%6736~P8DDCwH{aZ
z;9wV*OTUpOl}}v}x^)WZrBaA5IVy%${x+Dx(+1N#KzjOr;yCUR<>&O40HNgpfX8}U
zLEu8TQ%)|A8rqmJ7#+!At>GkMXa2oH+!w#w^31=@DkuQ1f``BN$yrUqfqYF7{lbX6
zQ6YtM2q7W(Q5{A>wYyb5ImrkxR8mN!kVDg^jP8k_0@RtlP>GJ_x&0379xU_g7QjmV
z8i-DLM-*8X`EP>WMW<<nhqZh9yf;xB6Y+_D!@(-3Ri+LE_^<!5Z(zGl)gAcl?2u`D
z^JJWe0^65sS=XK&KktYz$C}<1W2ah;fS?a2sdgHIe<bzU!dK~><oW?-bK+Q%upS6P
zK|n-TlS=V}%-=)1^?Dr>Sv;1exnDH;{{d0-^U57KR!#CgRniYA_B+KpX^Y`Afk&Xx
z4^ON423o8@BYXAePyeGY8{ZPinzhAd9r?*UbK@%2pNyYqJ<gmA($3~Q7XLvnf*ohL
zZU3{6I;yDk*6AM^g&h@fYpLmrX^Sni!SKsuZfxN51x}^5L0UQwC%p3I4!uPj7r8fW
zOc$@>OCm;5CaK!QyGkmMVCH3!)kig>PVj>7(adL?x>r0bzm9a-$V7V^-n(-~9EZ#e
zsiO%h5g_duzR*{i8u3`0G7S2xUukccp^H67_x#ZR^+zr?kKGq%yM6^`KaW28w7yU}
z2THhrDsPhypRQhszP#4aB^|?rk~D;;Fk_z)W11>)su)B<oP{<|s;A+4-}buJi4K=e
zzq4o|w>mw9AK4DEe>@)FW>A|w8v6KA9%@(_anC#PGjO_Z`@Xk%A?TFnA~J5M>0Xq@
zq1U1N<S>M0ASLm+%_oVA-pX(>8{JIaIK+@qj(FxvM>TZ-3XkUT1}V0+HqDzC8OtyT
zoY8|46hy+g-aMYY24Hu?<K;|50U&&dUs^Ww={D*9Q+s-7kFar49*;OTEa$I&{gAI-
zv3R<bmD|wKAxzol(r`=IE@B&PoF+gXLKE7LC`*IQG_g9wY1(+DSgV(dv5Fc=ZjS&_
za?r6(61qe0l|RDLi149^Sw@{|4PpT(WC8E2tL{L!Y)3=cd1Q?}ub__9T#h(|;uv?H
z@oC3e!VsTr-_`Fv*LK`su&}8XoLn4f_M0wA$ZA&6wi81L=ppaF7`~GuLoB9Av8q8G
zN8m)pB(g<%OBmL`!oiJ&tR;&3lUUVdkz8-oyAEFUs9nBK*rEW;Gk71p>obSkpFIGf
zbqzeA0K=uHefQI@{|WQpdVUk(1s==GEFdTYCb98L!sl{N@DmjDX%$7cl;l;XimmI;
zqb&6OxhLFyU5E3bqeFK~W^dpL>_7>)n!OnblahL3Ej@+Fq*Xztrf(gkE=j^_7*VbC
zv$dGEhF>d_soq_(^BhPBVDX>@j1aOWFo8y!$qH*2L%>2>nPtIxRaVK2qNIQgJ@8A#
zDHCUtJnb>~n@D=vV9t<Ydia)Yiu-{5O*c!jbr`$5)AvIlrLJ3L`#=EBkLCwI5G2o7
zGHDSsLmz|O*ra`962qweGTIEIHy9#MpBjM-f}r0(Kq{y{>o?x!{{eGaq@<|e^M9&-
zU>S3EzKG4XKX_%3+y`Pur=|i&?esx+Co6OLWWjXk2Py2Cwt_efKK@UBQH7J)#*)az
zxnYlW7NX<i`+IP-)C$F-y}j53J2gn2wESS^@K$SrN)9Jpp@d(Jg5N_*H*&C=^IX^v
z%}XKQ*Dct&*1aU;QJ6VU3ZERTVXxBf@Y~>oVt=I+Pe6=_L&iitc-j6P4>AWMK9E=?
z!5*kX)=BwU`Ky?ei4_7nhX)EiBz%&ALLvw>)un`AH@zb+jKr1j5qDM#LeJ|RB5p7l
zfq4y-&DcXGu2DiZQznJ+PPRV>g;nHYsO)N!l~j;(49tf~3mK7N<d||6ntTPQhDPj|
zOai&l)BQu-NY7IdF2mwz>E5b#x5Ct)KY#n?`+xV6x3EPJ7)>DT!i^>>M|!$!>CXfA
z2_%1&NE+6O*i4y1c<`m}@B=|=cE1kcEN3&yY(ViePQ5LGT9%z)Zke#FU@lPPubzVm
za?>|e5DO%jD@0XMz06h<u2_cYd7fp=WG;<8-1ia>fu0f}RK--lS;wpQY$=x8>z4%9
zn(*bNXicje@(X#wg*ed=qXuZV)P+KjFJtMw=Bip;`K&0$+xeG^ErI9}UJk$f$K`Yn
zO4YH-tE6u__tri3=6_)rqywdHds(oVeanh{PS=!P7J1>M62&gP>8c^77G+H8URq}!
z=45xx$9rd?H1!l@gz7I$Mcb4`Y&!2g1MFM)03@is+EL{eiEF*>dXv7@Qm?Z31B@iO
z>h~sJms#oIAwg*07gk$)Weh0UT1s-F*-W#N;~l2~`U?D~bE|%^|Gn5&VEx!ukYP|U
zDA3ojCq~E5(^qrN5*z(_q!(2CAj4tH({EK(cRk*cPmb;q4~B2fo!q4@?D_8r6D<}k
zfZFGs%+i$B@iw}L#!G$m)7ulFd*y`!647aqlcF3411U$PhZk_09%z@R`qO<jh!!!!
zcoZD9g^O8I0G~!Q@!<F0{r!D*LR@j1DRw#gdA?ExQzdrp!nA4FoS}@1^FHrP5-9{D
zmLraoN61quA*FXAkT%8b+vk%tM~*L@MCpp=;JsLpX*I3Cs{C9F?u{PeHNf0hTZ2O2
znXg>U>h~AG8b0IA16}}(?wHl{c2E2yuWp<zI`$M)KeINhMZ_R2zNt%R%)7prQQ(>d
zq{45v;<mqM^<5I`VU6!Abafp^5~oV7GiZkp&(*_?*&N88GvfE9Y4~x{m&r--vqZdq
znow|&X7QDA3lowHhYq<bDvd;JGPkkt;vtBXMF&w%WmffAJI(%}H>pTUilOp&6|~#$
zDub-gIX>Mvwr-eK)B7^Ey(5FZY7~7+QW}jlAAc<Qeg;#^dY2jYs%YNx*!@?ZkrG-j
zu_d<br0ISSN{Uw1wo5=SA6l<;q^sG8lfw6t_CE2j)%MK`FtyHHm$yIT9d6U*K_oRt
zj(&kl4TU5jK+haG!Goeu;(qs!N-iSay~mG?EkbMVEVt|K?PGC=+TK?&^(i@m?1|H)
zFtkE*I`8r*SVn!aiP#3PSl70SdydTRCqIGujgzTsDrDvKt~*csqS06S1^#-=VGjWv
z=@6;s#bA>(b$ahUnYOZ#W6iv|SCN_z42ek!&gBF0Ot@)bzcZffIu<|5!m((>NXZy|
zQc+ZPBcv@`O6oh74cT#7Te~@#+pzLXP}Ock9Ri+#V`}n8DbIJMX^98O(i(<4ChZae
z0s@ziq)q)dc$%*#@Ku0xkxIBs;_1(OAmy3O6S)RN^WL5bitDo`S%fQL^@5Yt<#!(v
z8I&ONFXoiZt6A^f`B0wRpS*LmA?R(1izfc!<ZM<lFAOLNGZX(5Sph>V`m^yrgIwX2
z`3Nh@j|80|XwUeiNNQR(I2HBrRO*JsYk#|zN!&UnEW8-kK1F7VYc|}m%AqYnsW!kn
zq&*Q6bcb}g>bYeOeQ6|f8e6!!WOtCTM6AxgH`)F<dv7C#^tG5K5Cjs`uRHZApZIvD
zFaRi!eU71HSz5u#deb*<DHB3R6tctkSNkn9g=Ruj79K;}5v{*8)Xtw>t$+CE{i#JJ
zI;^24&GgCqFg`nWk<>(twSitthD|TS?(qh-GC$hZ{CYygh8FONX1?nLx=|P+-p^@<
zQ$hVa`f@^K7y$wTqIo<mWW|8dU|Rp_p|T;37x$5FfRWIH;0Pun2JOVsuiQG%FKawA
z_bYlG>$ReS*PRH5DD`&cPM?4Q3J6BOZh+r)*wSqa{7`?fqKPl48|e}Xqw8FE!syTu
zA#+g?F@lVDDgazo%(4N7NG9!KRO3$BWzUgi+~oKbQZ=7!Xt1cPO(H`y4KgHW_a}?|
zK>)VdexC8H)++^wLKkY<;*`)VO(%T|UI6{>WXakqq!p{NX#S+g!N$sA2h3%{FvJ!J
zaW_W=@i|h=oMQ+Uh$&PhjUv}Z8Gopk1R2sMw`ZFMgELt?pAy7Ca4rzVuLfVNf+mL9
zg(aD1Bp7IcNo&5S*IDwj$M+yGIw8~W1bm4Q0uQwLIyVyU_c1Fc2gnjAu~CoGG?fjA
zQ$M6S3zFlombIVtny=wQ&Hbd!-nV~tvH9W|aUsgucVB}*!|ow~?bQD*fE3>Selv4Z
zAb?bJuGEmEVc?SF;61=d!tqPcyx)IqUX_uQmV4Fr_m`Kc&u{hL7`#b}9!m(U>-g4M
z$#P&vC-bpCT)Ye?+Roa#Y)X+U^AMV!dH~Q}7JKnS#cP*9vRuJa+BM@9A!{lf;?Bj4
z?wSQr?=NeU0fVl<Kg<fDZaBxP;u&$WAzi>UrNx@*+7=id&<BI}=^>==9hKL`v`raP
z#x{X^49Z0E-@ZqM1NY$67Io`$S}788&|010L&}hnL69NebKcY0SEVS)zefX?)7zKo
zDrCU{W+70ljQ*|F%zii5Ni<`Th}G=aUVa#Sa;xVzwY6PZY@J;_dexvS&?mz<0BQn|
zj&cm548f1ULS}~YVKPg={JlR@9aSBb0X;|(HeVEJjT~|?i;OFll4Gd4ZmABW?I6^m
zaBjIJy|`AOe6Q^*ZZfV2h17p9S6)9p2HqO=0<lh`a$?IVz~`@D?e?}HjRJeCC0f5}
zNzKnJYcdFY<EA@}ip7`%->366U)29OP@iG}{hO^p#)+S;pGk2=WrI072TYo7K>Luz
zjgYPog&QApTwHT!XOqnYk2TdeCV~7@hNY<`{00ID*+AfT79#!{@P_K_4e;@ASE%Rz
z3YYu|{Hz1ife+_quMaTce*`k&wCenxp$UV{2g$N#-RZK98Dub0KK169Y+6VM5pHE#
z7V#h5x5!)SoTs|chT85BK@HR6n;gw1ubaYW-ivU~C`L!~77-$(LBs^QyGKzyA3m<4
z6+e^e!?->DDD}d|zKC9s!@wHLGM*NT^}4v>ec4LuRFiU9Q$-a{`k9G~gvbGtuBlt;
zR+H&nuIQdD_PgiR&;D4*9zqR>II{gI!KiiaM*3!UI@Lh(xM5)U9TcsvZ@sF|D_~O&
zn#)RN{e{qI$jSK_<6$Y*F;7FIoiYXA#GA3y!X4cmY1hL-HK=8UOEMF90>cMrcFd#n
zk7o*I*BCyf!A=O>Qb%jnNt%&FP6Up(3~Qax+lS75(b8~EHoi@vl-<qyFW%0vsSsLt
z$#O7U)<ECIxMJz#UYXpLhf(5zn+4eQ3r^%U-DbpR1In)WSG^ulONfb!Qx!bD`=ek?
z6q}a>X^g%nuxX-iUIv@XIc^EZwWe~t*lf&3(y?lE+P$1&4y6mT6{VZ_(xtK<dq1n}
z3oVbA7y6{X^3~fnd$(&6a*NYM;X0j3XJr1*Np4V5Hl<K8zuF@z(O1qt`?I>o-Go6Z
zf;AeZW9@mDU%{w*j|pbu9~iRq)_gQJ21d+#Nn=uQ`US5}74NQGIbg2QW&-kS^s2Wz
zdv(#>L6jkgglM`9*GhAO(IlfxpxC6$g|&>~kf~QDX|E?dcQJ^!ex5)TKukArz2&vN
z`ki6aaPu65NF-}jQ3`_)#V5qFWPCQj2{r_Lgm57%kiE6{9C3d5d;Z}sT<-yIZ;?h>
zQ~!kfSmB=5W)4uaKUL``<vZ@qq}colz;y0!v#+9gjzO<zw&l5zMJIEV!yI0&$Pw~N
zNX)w3;SVGKa;+tWmkn%Bc%+aC^$?R}TIn)zk4LL@d}^M;#6P}59%|b{S7k}h`=U-!
z`Bp98S2wVSOP+GH%wO{Cj?v}LgRhUE^RqGOdV2B1y!vDf?RT~pj*%ZO)kyI@Uj8eR
zeZ$1W<SkZIqr+CK=eW4@+W*2h$yrTfmTp!<Z~50N_sW;Q$f{Xh;p@ds_q)|s3K{3#
zehH*yo0Tn@n*ES2d<I5Z61E_Gwkx&^BbS3C1v1Y|;u}dh+gn%_6%e>#LoEgFSD+Dg
zHPYVYRrS=%&>D^xXhKXkvMiYgQ-+Cj@mXMx>ps=N#=8n8x#Y%vULa;rX*|>PWpIQ@
z@^&wK&YcO2&Rx&2aKd(h7<FZ%m<70?w^{`#8E~dB*%SC5v%Mp#Og=Zz2#L5*5|**>
zGeeu~eO0x+Lxk`e<VIm-u8<OBbYk<{;ix(o*p|-J;tGFw1=6;}8Ib_S1ow^g(;;55
z-vP7KDsq`mOn@VrBC|V+5c-VFY4DhB0bTj~ATuJnhfJ#f1H^Q`lg{=icH#0nR44eh
zqc*>;wia~Z=^VJ;LWQjwCcyk7n7fI?>WzI82zaWXdQ(c_;N+yG<Cb9@i)KHL4ja>?
z;rGO$71{swtfRr+u}D;qxfgq71CVrpGtAb&CSF=@M88Z6hy{Un0dV{4sji<<j)M24
zrF`mX+eUJmm=7$=K-^fLf6jeOWc`Mq986q+6+i_Z6_CnszXU&U0cGfj7hC!SxCtdM
zT)q{6<M$WV33AD9UK(c?7q+ta3UrG!?11!InUj(Cs-+n<DCbICsjO^c`uN|ZKk5MV
zf$u50%wU1t(+NBlZDP-t^n%93vwY)sM{(wE^OSjj{GrYCHTc6Lii!#=E6y8FlyY+`
zn5OdjE2nKQZJ(+a;$lvc+P@N^{&gSM>1()evDUKc4;P5|RymuRnIV>+KW{B{d1~K6
z_vjas;nb|Cpf!3Z8B>j6$xNC_z~d{b7(GtOr)7FkPTq<H$=-q9D&m9-{L|Mx8K$@T
zOxDTh%qU!FnMoqk_p882!!GJJYFC@C)prFVtw8YZJk3cGR*M}G;?c0STh2Fm$#I#?
z&N>pK>||ew*V~}^H9S1*WyBu)QkYUf(<+{I*#uC>uzoGxJ%AGIqq`U%L8kqoGz_Rr
zGCz5dxxW5>2=b5ekB(-z5!h;46-Qt;hNZg$I7S*7M&{N@^HdX6;Q9e+=MN9n@nsq^
zS(5bOmSgq<{^;NGnm`UKuGJ{x7<B*rXx^@LHlG$sz$PJ%v3vP)e;M<!U!=Z)0SKrx
znnaSbu^f-bVol}|b<e6mNCKMiTE$4BP9D)~h0r>sJt#!(!-Tc19~K1fJ#N1a2HK51
zw>5)A6Jnh;WIBavc?(NAwpe&#rO#hVo{=ybQfyRF&gvq&SW<|FCT+*pr7^`blQJ+_
zgNsEoO+?-LISzF|tk^8PzbT}Y5(v>?6Cxsv%kU_oQIL=%ssl7R)hg+)OS;)>V9NZn
zULjk;+~P5YFE!<R@`Z2c;10Mx-CwvII|Jdi1PICszMnL^d?gAX7H~=Qe{It;y|$IV
zaJG%D<nQ%S>eqq%<UrN%Z|v=#F*vOqWF&qm3;r(j`daA2clHlj!NCU<pE`Q~z_W^i
zuZ3O{Kn20S{=2#1w30qR#P94Ri`oO)(<u0Q`xiiU*0)7Rd4#M_9>0aF@BZgv0mA;*
zo4A#1(!+2b-hbjd_s$I-%RXk>Vz3dEOCUmY8IQN0+K;SU-Ob_@=+<tXqCrVt(Q&kU
zSbTAj?Xnv6xGgkDYIariEls|+=vFF1Fl+`6CP*$%01NwP^o<BWn`TZ*=-w(0{A=n8
zAe1i?W=+eqhf?Wvq)rm2&)c-U;uw?=XF(&Q)o^;{@2A$s9~|QzKYBCd-EA_`N>_aK
z8~9?08F}b1X_;b|$(}QR4^ds_cNUrA4QtZqd9H*=+b%EL9xx*@WZdFs;(D|1e>O9<
zBl8Hw@#1JQ)8gPq@jLa{Ccy|)MFjI&^fm>*3cki}#6A|xS^-Ny8p{+BqhouTm$}{p
z6{dkhN*x!%BCdYwSMs8~7b<*b__PF(MBXpWdL>%^9^Ei!#)Q$V6})9D1A;wpHJdm}
zI<y<Zg~f(NfLIeOHa^l}8AQiEOxz&R38VyUp1vw(F*Gx~dW&zFrGW8sA4~t%XP7+!
zsb%FUuB)E1`0p>xpoPz#tUoz4tT>JbMY_q_vyv?px#o{VCj1?i>mfl7B%>x2zjuD)
z1i^T4rH)UTadsnvu2oc2z@i6U@l#{X!4C6e6HuO-#Dr*k%%~8su}Uu0<3nC8jn%~(
z5)j2JMI@kh($pZf{6JgRqGicqtcMT+A{ye3M1Y(a91dzr1tfa6n@x&Oni@VVg!%#S
zO!q#Ha*7=5$Fxc0MT^ipmSl5bnnG?;7BC&gW|0?p<}yYosF|eBx#FEc_|-5Z8r*e%
zUDx8A2gzh}(UpyJJCKQ~oFfecf`ka={@X%$VIMp|ko?iCgm_ULtF9AQ4Fwf>(CHVx
z`ELP$PSNV6bQu92p7!1gXJA|^IDval!0ZuNr{4a9=Pv=OgHT;w`6*y#`~}fd>=5_=
z$)gLN`dsq8yPpDoMe;9Tv|PjWrMZ{;fVBbK0C4_PFi+yayPq-d)&z~<hT@|)Zyx)9
z29j$B7&16w17~7CfB*rzAl!T42y$dUS4cjbnutvE2puKL5Q9zj9*z|PZwelE0m8q8
z|0gqe{rOF>9oW3uaowk~cmgp0CkD75Ad{i9ndkj-F#lN&;2VsMw+1*y4Xe}W)Q2%R
zVaX_yq3i6mmGy*4XjnXQAq*Xmthtmv8KK1hCYD~RLVr}j7&o6?+hLb9$e5WsxDe<S
zYZkda6Z`@aY{1*Fx!Ht5q<E)0=JBe3wPop?XT*fv2Z>bwu+yq%eLugEy0_KsB8tIO
z{NFqkjiLfiF;%hlv%WDdlkuvFv2k8O!QaGR%8oeby3ZLRXTP(w7_8gpL!_`2ROIkM
zq40uyJr)$!S{&}$?c-XjNPuW8(+NK*1EEHib;CQe6T*VL<4wYeK8ypUtLG-{V|ZXX
zG&?i1^Mfu8Z?M6A!&0x9C*omA-}K$CpT3g;Mdwt@d~MF&{JxUXNA&89074(S847`N
zjymVO9S1nd89|EG>vF4er>p|ULfou=sJ}?ni;Gbs=65PdnxVe_nsz6J(0<qD7D!w1
zEw~%jww<@b<vNpqkQGOW;)^V#;u|;B{2Erkp%Sd}=Qlv*qDi=I>~!SfLW;+#hHhSa
z>X>L6ZBN)lSVyjB>IL)>%^X<q#L==NMW3!0(nv&Djvk@eGdjHmxe*l{;Z5PiDFJUl
z(1n-ZnC7w4U|a~9eF7~FggiOtp=_)-UBmHeIEyID@6bB-yQ2`@oHJK@J(lM9bx(_+
zOJ+AX)>v!!S1j6dy{+oet@5G6LWj`JMaB{)^A`*WqxPsKJ~Rz;u#Kxh!EyqYfw~2h
z5c+rv_n>V$+2^{p$#*TpRWkf==j-KN=1WUUfJr3q)Je3?p?ix@0>Ok26(I*JaWl3u
z(5S!tnfn!Y-tesgz4TI-LT{#9$SIwfgira4+RKcPe*jPv3GM)&o&zegpMxY5t26Kc
z864Rb!(7neegyY2!n1Nf<#`W}U33jPHv(7U1`c#10P&$9QqLF2-g0x4;rSpRfJF?R
z%lLTo8yI;|_wC`hcDO{o`w!s;EDLb%L%{wW+-MDw_;%rLeE1kHV6}UvmEBhKSizh2
z#0{u82hgZ{t}j6E%y5X5j}mt>DlYGu8~aMV|AMNisfm{ocUECG%MgJ)`?#OOK<v{~
z&xk}7R-d`YvxZnNuu$;u>3Dace)E7X1*k9!lZJ!kB#+**4?7S&o+l=O(_qvWv6R7Q
zIEsBoetP-#IaV$OFA(JCJ-wXp>M)t;5!RO!XIx}b*_VDcN+nN+KOJ_Tcku0x&fuWR
zcSW{yRzcn5M^$lXrZP<M6N<lhr=NqC4b=rfmf`$ysm_%LZ52hY=flINcF-8fd>g~!
z+UDVp`$CR_t?_?afTy9ZvSX0SJ9e14g$UXb4LYppFW7_H!L_>jWVRyqx>7qTVG)N*
zXe6z#{-R#^q=-H>VR3$H3N&yWoyjElaLEzlYd_Z?*!}oLfmH+!x{pwiY_B)tOm*5i
z+E=_6G?_Oicu3v<ap#k;2)Vs;Ma$zyq=g~L6v`NtT|`W+=rYC@dxV2UV*Y3m-Kkt(
z6k8<)6M`b9VqJC&j7o4=tCz15kvD)JbN%K<<y`zxdUzEL1|$_>6`~lDjjrMGRqU#*
zREJRBTI+N6Q6J9;siTtbmQJK{yd_9U{Sh^n6FftXz@3V;qm>`oE!Docd@`eI*i38k
z#hYo<2==yPMLmPpv8k{rc-O5|r?K%?juOPwIkcX^ZKGh+|H)+j#u`CH1r^fhgv=*l
zDl!nwP>6vRWu&x)ROm8#NXCy=3f9pEM@v4?K3QE|ojmkLY%1kkKZ{reO{l9+@5)(`
zW;AWQvo?prfbJaya!d1b5`1z?*1anX$4bsjcxR-w6Ce~N)4Awp7qKYI@)!>AKI`7N
zKK%11usJ)ecOOWlOXk<;@Ag0_pSAo+!~}vxKeuvSV>UkhbWF06et_R$*X3PX2$v%f
z+RD}|@)xv5b<OO*ftv>W1Y|DY(gdc<KW+10aX>&Wh<yITCwa}cS{n$S7I@AxsJ<ov
zMXc?$sq+1^*FT;;m$*Nqe=GJq8vuEV-aOtIum}X&v<{bXxS<WcNBPbIY~uQCus6r9
znaGGq4d~W+eZKK$XJ-d6Gtzu^TgAA`P;TtE)RKLf>^p$<4NhXuY-^T04spK!y?x=e
zuD=nuL%IlrpguEf5mItCWH5bu+Q@!n*3vv-eEOE7yaw}1n!WSbhCw<MX;_p+!HET4
zqC$y-<|Ak4k0yrhT==FX^50No!SxJk{bLCZBrSgr!zj?YsBub)StxT~IQb}ZnZ3G-
zk?WmhrYH~U@IB^`m?HuJ%UVt~iq)c4m-bDkgYk!*uP;qkm0pMW^Ld+u(G8j&`#d0h
zJ8S2{2WGq<*2ryFzaO%HAM9A-HbWZRX8oUIv(T14(;N&gB)y4J!i|EA6|@>exdw0B
zE!hjS&j4hSt2M6a9KX^j37h5=5hmM!Ogsm%eVQ-U`gM2}0bca{=I}UGTRlY|kK!4D
zr8xq(kw|ZZFQ{0Zs}p!^K(e)So&;q)WlxhM-M;zp)KT0Y#Z2;wJRy?L#55dyCOaO^
z<jorzs`ifwVbO9w5i$4MSRk6oraia!(aW(3;kU&RB$Ql_7X|pV=FaO19E8XL+wQ{<
zUoVz$A~;FhF^miOrCsnn+!X7<kf6+PsRM3I9!bF$A9()#vsPSuWp97_XM>xMt|?u*
zsx?yT^VTs@UHR6J`wmpO=xFpj)jFpl3?;mY-Xwmb+lSi(GE954aJ_b%s@<xu2k0?L
z{c4Mq>601XINnQr$n@G+$&u*)*oiXgKGBj11|(OQjQ_$o)1jCFT|P7W5q8>12)jt0
z!Rkv@`yZ5v1)t3UE|BOO6x7>Hd0*oqMI@++0h1O|`sD~<#HbMIzHG1kfK{^0{s>zf
zDnchmmODdNIFYqMaccqKTDkA2!I0xY40%5tkKWH3-@R>X?q?){pZ?V)7IpkCwRgae
z$_eMzX*hR5Wnh3xYNSka-t@g;rKY~!Z`miIc`4;1ahU!Gba&XHKLAN(MJCod{rq7G
zp5<IyS7+M&RmJQVK3?y+$yFCm*I%$J1cER|xYO-QwI4~U-~<@r{!5Fypy`;mLxzA9
z`{#_H@Ub2#)=!`YK@rWL0UeQo3yJ)1rK6%b{LB){Xz2`q&H#@c`0)DQ&a01)P{TbR
zY-3W#@(RuvT!yhpMv`fYofs5xQNzKTpkkQUsn-2MKO2FeBksDkMSPiqWZp6^hlosR
zpsi+Kp5wG2SM~nT8c$%=OZ-%Kfeo7EF-gxfE!{yN{igAPLU>-&XlQS%npXrc>y_}|
zk_lZg__-_;SvEnuG%6u{XAAPdu4v5UEk{y2+}n&i2j+W3`Mkd$L_t%mwT&^Z$lYt<
zUEyVz$&(LSENSn}B|PK>3<4a)u|d=Bht@OQda(4ZZce<*;Q2YNPWih5B?P@t!{#$R
z-m|k9dxmpu%t0k<BB<P|>vN)@m$l`^QtSy82$3#tXFth9FJ`z-sgvT3$beL5Ivk<z
z9NKkHMt?WaNx?~#tVf_DNgCDu9UV3gZiJe5bz?698}Sw1OZ5>twEn^D@!t=%wY3+Q
zt(t^*nzDzRXH*a@8Cv}*6WdphhWuI649V7fWjJ{Bm<Nl|zGzVcC;DmZ@8qq~s3DHY
zec`qh%$B|cla65jGhT}F$?b;Li@Hz0L4N=~$^@6u_oGt29gL!~Mk)%2+Jr@Y>P7YP
znKL5;9DQX*L2f{O=%2+VRTPS^7Nl+8X%I;ypo!foD+k$y@Gv0LnNXTKUFy}G=4)&e
z32Q_clTOEO5oVKs79JWT<CdyV*vTxH#6(=!+G=6!lQpd5*wx-xV6^z*qz`UHix+Ty
z>!#~PKm*~!n%K)=6HZKV*bq7%%0U#FoQfQ!S%Vr(Q{COM$k1DgdnD~l{IGT^k<i-D
zN`KE#)=DY-F)?PAb!ga<JR_|qPVzD~x^&7n&tp3}p~F<v*clHJcYv<J>AQNtmcB;u
zSu9z{uW^atVtB8GwEAxI$l*N-U@Uf<_Lx3UAWS;c1bDhMv!}(#pE0V>(ctfRf1g+R
z_N94tP@wbkCih4pwPbL9h@{sUAtVNbT!1l&R&Vs$(~|%K(X&3@r0_Cj_F-$bwx(w5
zr*6gK`nurg7G}FYh4XCi6XOox@4S82J_syr&eW@5Xw*$85AdtMobD=#f_aWL5&Uel
zq1~`q!t2N<U&wM9#({9{u5grT*0Uu#!|Otiqu9ZeOBDgaY(bnZ`dn(1`NXfCZa1zN
zY)XJ%a&1XFym!`kqF@{6Uyig~iZMlF!P7ptN)*#nm-F~%A9nws=1GBCYm_X5OL7t`
zE^$>&qr($jwV<(Io8$#XcxQ&GhI-_a(`q+gO$vXAA?qLdCEBlATXDKOqH{o9g020Q
zdMf?&u#I9zg0IYo<r8t9skP2|w<fKc$Wo{ACTI{&Aj%1vetZAe@ybNB)vJ5Z?;ln{
z$rnxJ1Kd-kJ69J8j1Y|Kn(j9hyTv?Awgn2K;Z91FT)wcgCs4e8&{+AL>r4ldTpsba
zF=3??klLbcjgLH_eBsv8bVyGsGnb8|9D)jN(_D}8Q6_uOMfW@);^9|gy@ViS0#JAZ
z$R{XAKQ(f^^!vvh(dX^gB;dH3GiPg#;TEx+UbEKVWc_jbadT{ONWx;@H61m&r4ttO
zvoWM)9JNpFnkw}-AAi6c>DL{eViECWO&2(BJPAuTEi2sh%V+QgGIsFvUmQ1MXT@Q<
zeC_6LP|Qf?83`nrHXh;*1R}g&K<uTvagknt$da@dnsMcqVAJepblh3YvM<cU<oN?Z
zp<h@Zsmw#hiDW=RC?`$HrL##fBzl*ZQR;;_m^!zT<g}y{Tq2S|Znfwk6ya7XH@N5-
zJS`*a-*rS)9gonk&3Vb&Qhwqm=R4gS;>?O&`+hL1Uao1Ci3Y<s!%EX-zHSV_f^5~;
z?%6_v*geX{tj1uR`Z95Ybacvb{d1yG_ElC3wgnv?bjX5j;<ElvZLNeU4ILSOWwaF6
zkm9LSZ4eq#v`{L(+>;JMCUy!HRA4|<u)@Q%@Z3jL6KD*cA+_A?gt?eJR)6l}Lm3nF
zb$5V2h$#&G)78g_NXT@x+gWHMckI>{aXjrHwR9?ug&u<3!vnJMAh#I~BJ20tCX)T#
zZ?1mlT}NO=vbcU7dep&CyzPIcQu0-eI)Z`(sCyw{uQQ#>L)X%&qaG8$LHl%Fa0ett
z@WSPx%<NYg81lmnt@l7E43b2fp0Q;G)_YVV_Qku0Rez)1e4R+fckF$7;}2#L%yi1W
zX_{JVh@^Na3f+SlVKuxu56#t$uzhfo1h}=x4*9oLM^sh$s~c>tM-R`195b9(#Y80d
zzV!6Gwx0NiHxDr3;79i5qM@ToMD*{UVtB1<s_os@CbCn4jRN-Nzq>|5ct&L2BZMPO
zhs&VPUfbM!X(P8KT5%FAVJT)@=)_gE?hhD_CU~S)Yi*Mg$Xj2*>t$MdZqO&v%0_eg
z%a~-?>GTwJ-yE9<Vw+3w%jdz}+LIDUX4KnSif+y~t_pejp1}@hU+k$CX%cKzCwEiE
za&$ni>dmY;$z!msl=1)h@};J=E&S2i&7!PGuF;M+vp5A_s5CGk#+5q~kZh~`?Tw~<
z7%8Ucd=ElI9L1hPz-3Vx0(xS~l?b`-*EH=!bxEBw70$0Sjtg8%2KpzjDO1!r&8i2+
zN>r_#ke4|e@@AUAhyJ0b`GupJTqB-zqu-b*dSQ*%BXpe-3rHzrQgcf=<#2=W$GK<)
zLsUi2*-7s2Yd$i6Tq4SN%T!T2l2~NfNn!d_^N+Te$*d~PrVGhzoUy`*c**EETMQ~0
zP)tAKcV4MK-DtD`6~+wjv<C`vlrV_Rg1V%=`u*f5e9!t38$RT4w=z`&i)6^yMZ8>G
z&-+IhD|5D6`qiqBhT1`Tzn2NE+=K|i8ZXH~&hJq-+>j~5Nnr$w<dPGlFcg@A(3=NA
z68qjd*!n_bnkSmOmFm0C_nna-%^uiez{BTrnE)`V<($#|<hjKeid*iKDxLE3a=YZ_
z#4X{J+3)aHX<!lRs-ME<HB@I_7z=G>3>ajzW<Dd5NX})6OCLMiU@PI|!{<Pw$)&J}
zRH{{D)W=0P$HQTsgpHT>BjMWN*e4E3ONMK%KUmoUIsy=Ge#ZZ>G)kygIYo!)8A{(u
zTm@$iyND>7Jq0FS5K}2Oo}E67BTOD!y$ZvK*u#y6IOg(yRNmJ?@cHFPBLTZ@fdPw_
z`*a-Leh(*=-=9Mluhl0w2tw(WLQgne{DnKXH$mak-E@~S`}*&7$^7Th;4h<p;RVyi
zk>#h~CcAo{w1HTBbmGy`Ztueh5cIla0!$%~^A-oqhvJ>~@EOt{^0o`AB_H8_+#Tnm
zoE?<XH1iN7&xCjDKbr206FXZL?*D!1b&RK6H~9BY>_ls|@A>SHt&7G{$E!M@R7Q%3
zH5?hqQ1nouJ$wW|S-MhW6b(8CWEKQGSWj#kI%5yI3<d&58ZvTh5{(?q4`xl8Bq#6u
z)?QPy5x#=cg3|!6?OBo8fAZ@Dqqm~neKpMMe|vJza_Y2~bt`5(e@l!=_hV3$$QgAf
z)G9Qu2a4>y^X~3#Z};hX&1QZOk`QR((Xu+z9*IXROw?`aJ(+ky`pL?m4N~d5!lErr
zYjY;Ssf!cP%PE&%b=+*j0}V+)kR#zh=d_)c(L6#&*R9S-$G2pUuK7(kr>zWP0%_0}
z_~qp`+s<!9PkP2MxCU|M2pu^P_I1Tsxcigbc~Qw^A?lZCTI0TBkzcD=@mkb(7K~gC
zh+EW0djByNzufyUP0WWwB(ATO>An7^uC+L;I+T6a;P)T-5qQ7H18Wf|Q^7}Fy_!F6
zCHA<&Aj9|^%RGMG(6$S?=h9R6*gz!_bFUo{0adhOX;RoR0tVczwSEd!@(e8*NhfxX
zd_7rg$lCS3U%yafu4*b4T=~4eO!x{})`__iV6Yb$C+{9MnIGF4D1-=*Um9Jl;yhn|
z_53YYyuv6Z(oUPRU4DFk8QRablsS#3NvM5~8K$)R$+9RpS0m^h+vxRpj~&u-FX;!Z
zqH8cq*l>hTCQXCuJlV{G!`dGwwwqxO2x%<syw2TfNb8K)r&;p&gwW>v$y(vta@cdL
zj(2tO(Nf4`Fb2EC($FIsWR}d+DpgAL;loh;?wsuG(;7)aW8vpAY)^(;vlC#12X^sz
zysb{jCkp5cLoKYgUl-(PkB!rOHZSdHNcjxA4GIi+qX#dy2JQISGABW`@0RTLw_kb~
zoG9&Ug}7SgpL>3>v?<DnXSHG7jm=Wn{Ja&C`?J{?{Z90R=3omBR?~Ad^V+Y9MGK9h
zj3GmjL&ZkAcIMHPL3~*#Y=>;GXjx>dEGLC7!mJfV_)If8cZZkjG`+b6;A_%15^llE
zMlnYK3Os1tiiH@sqP+uMJpg7tHg$R_C8rlNwHB@lkv9->(;L%dPXoiqqazF;BDNq^
zPm~PY+gfj$pyEa4c`5eNnDS{~LxWrW4hm2ZLLrM4&p$P6lV0z~aqTpGn}0_A@CT4Z
z(m`*1Ch^AO@yNcEtKX!N%i3Q!&wK`#|0w-h8RsXwYuJA8Ig!R%pC>kpAyu+q4u$qL
zTd6jR^(V`n|M_a%X)Ixf8VJ;=Yt!7AIOVeIi={!jysJyV)Dw|P3j7-*2j4i)U!=mN
zVzzI%e$;MrjGx;u3D^%aA+4k`P+iCfa=p~7X>{7`o8FvhyEw=37<C7MZ|YsT-pYkA
z9DHU@-F>w&-lnUX7jHkkMen!b1u)GyL)jBTB)Z|4BK8?fDD8kf4-d*(e+CeRtOpXp
z?_(g(Cz=#*5s{pp*U@Om`*4m4h|<@LFi<Yk9c*dMH|U=~YMl<@#b@1+eXopuva}Mn
zVo8QU<MExAIo(at)}`I(^=VmV?A-$n;W`YY8zh1OB6eGGz5pHuE$AnQC%D!a9(0W%
z@4SCs5iNagZGr^tcDaNQPHsr;N|`iYM@}o%X5plxX8xRaSdl=cSS3l~<M(vRs>tl7
z>I3=16!$`#Z3#Sdr~a?v3iIfWH6pO@KBmU1>(E<&Oz8$`mG3_ul@7Bud!frA5<<B8
zeAa*KjO7>j9G?9@n$9Y!s;-T~hwetCJ#;rncStu#H%O;+NC*Pb-5{labT`tS(jZ+@
z0#YLQuk(%Z-+0A92JEx;yXHIRGd1azE!2@a7Cdz=9Vs|IV|pMmvKvGuge{o^tdGOH
zvZ5$itLrryfp?csUY>VQqsB;iG$sf{fdKtm><lxHlxtrC`M7S5+b1`@It|oS&bA%;
ztJ^T34?<DtWy~#!>K*Ch-0jecu(-`Ihkx&<2YawYQ7<;nrhJ>f^pUl~<;wZm)GQaF
zxmsH|t?6rBte7l;fp>5ukP|?o@B@a*OF;KsZ2}O-{fDQU8?PkV3n;=cBIM1ulb&xL
z29>};)iLn)m6Xs?D<&1&{@N0l#BzAtM&>L)Ma9IoEy3j3xY!{g;X+0287AJ9iAIgA
zrFKC=lW?FT0S)f1x4AOqFfO@{;<K*cUZjBZjr+E6kEebDwZE{1RIht7&1jASR#u{%
zRga^kuc}8$2PmB^p#1p&(rh600|ft%#CWk&xzC2;5Q5+6gMHeqE7Bzlh7Ca4YC!3J
zGWYj?@S|wA7{e0&kIVn!apuJ%Y|#W$fbMqUyH_lqX=%-bU-(5MElo~NUX#u7KEk4X
z_BdR7^V}1JS=@V#r8Qo}#-B0YQsfk)&}~KxuT^-_+$K<ykJ7Ww>5mc^wr9N^-6rRe
zmJ6;KA(4DX)5f`x+g$=DPK-H;HKlwfpjbpA`dqrh!6km6;Luuk#J)@sIqKX|5csvk
z@5+gEB3o)|5)SS^7R~uG%{!a)|IM&*-~43+lc^}Efr{AnHfm*x-$&$l@FkCLUh@Y$
zWMQT&?ybri(M^%1pY3hDg!N6>e@}8`Go{qvaP$R<_Nt6%34?@wj%A8=2{jNoX<A%d
zq|b3TusYb-l%mA%ozB7Ey<|tQn8)NWVBp4o*4UijqL+dX`9vH^L|l&qR-gW1ejZt+
zfJ@XoxKk_M%6LhP$6FJ75p{Zc`ij!GxJD4Lmy<+tZoA}|V=p@xchfW#nWAiq*&r<{
z8;DehDE3FWLYOpX4rcHTE^VH~g)>fPRMM{oUeazb8Drvm>c_XqZJ0bwxRF!6hx`8C
zb*H3P9%EmZWamNfDy9~&yDU{r)&he@vX;h;6f1<(N=8I^YR8KspT+B251Ay>>kqT1
z%tQC-AjlG8NbMwK{vh99XZv9wzP_a;qx8r%JCo4TW<qkYl$NJZZ7-zVqD8Ax8#{~P
zjIZxXM8-;JiwKn}*xd|17<iJMieC2Pn*|RiU`8pYu$9G)uXxX~o#gcqgWkzxO_Qzw
zL9DQwp9UqXO!0EP8Q(oW#4fMZWh_MP*o~E+dD3Q5N9HVHlNh6GjdJ%1jMXXfN`{`D
z1gKXK?EJ7LPOq48y@Ty0!P>@W)9sE|1t{YnvYKWcQ>$6_9XJ-P(WqF*z`H3`aW6sv
z4bNrAk1<toV(-$7MG9hp+*R*4kg%1MXx_u;+SkBqn}COE(T__4#a)Cz`XSKIh*g;c
z-to8=S)A|GKs-}T{PFkIlsI_uQn+_b0<{F<=4^RcQb&Qdek=20!XN%W;t)W?acAy+
z{5as*a<Co_^B#Q8^ZN;ty<zLusi2#B*_mw^((1PR-=kC{S)Dee|4FSk5d8B0eE%GD
z$?y)u3;*t}{<vv+{Co#$Twp$ghuvf~v8!<&4)3qPa0cE_uxPjcjKtF)E?6tj@_$Z-
zZH}jHEj3XjNT<p9>vz|$`Cq;~I~`GN%{&^v?nJ~3Hz!66(Jc3|2HS?C;{$)}ja$5)
zxu*;qmpfFrvGU$10u+fBYm8cyNx&qQ`&S5|YKYM%tgD4bLPY%{0Y{IfbSZM|)ea<Z
z{tt@L@-8tNI((Xn-Z`;oI5*-dK5N$P_4<II(An9!N;tcbWPfeHe$u){lC{*2hE-sG
zJinv5t`Eva56sg*>y%escJsC%37kZl^<&V6!k-U}%gGheIcjxFT7AfSo@3%D41e4c
zsdUFBG8*DjBVS|HB)lH8`JLo3%gORJ4=~wnV1Tr}muUaOX9ThWZI`-;ZKMrV;4h_g
z%PVf|-Q^0nf`<hxZPJAFZH}TIXO;Gju>fru984&=TJ`$xLRRQdNi^YA{W*y(9=|hP
zfnza65mebXfh>2>wljk3GqmYAG?u11ePY4NCDcVvmt;DPGHoFf8a0jy&F3}#kFRRY
z1?AxrQno6i*${29|3rk#gVnr=3;5&vP7<@A*H?d6jq&e9k9G9od(b8L7^B`#STFcy
z@y#GG6pBo>|5}ne_%5Twa@1O!pgkG*QB$=wwv9tEP2tUVRh?TNn>XXnQn<L&q7Ldm
zW<yO2ktTa^mo$Od4-8j$Gd?21d2dnlpWy~0pc?YOaBeg}X)5b?fLJ=(*hEB5dbf8O
zYAMF<#3b;rJBZx)QYSXm*TL-@e${jjNc=Ps*nQEXvP`y_^FrvYEeK1Nxcdr_-#ERQ
z9?hhZqrXrzV#(~6Lj|c{oijo${_PrVh0*zeiI15J!OHuB_>M1xl9t%V>IZM=Ie#3U
zA(yznEI0Y03ySt$nAOR(uZww~83{z|{60mg<7EKT32^M6vz{6AKAcFI$s^z^A}mtc
zQX@!2V)CMJ$dxeGLxO2uj~DP3kjRIpNm^jOFBIYWb~1XrNa2-G>+~?fkWX9a+?;Jq
za?o)|t0^xpayTOja!I$V827NX5gQoAU?oRYU%z&M&1+=gAq@Bi^C7>uPkeFT-u=){
z=JlWZ;lk%HFe%-_>};aIAhA1)S9v`+D5p{V1hcxmMDYWu$@_4QfGz14f2K|UU7I!=
zu*n4c1FnjC7?AqbL;M!zLV_)Z!FH+{R55oLv5Nx<Qsy@-TM6Tm28vuU-L8Sm)uzkS
zzRP5e;GE;jjf*(%HEv6f(OiwYfg;AA&c=;iSz~*-xw*O(I=k&+OIs?wdjNvf_cUXb
z6LT+My*RLhmSz8gi;^nw`<JC}<NVoRz%Bo(EEj^H8Z3=Px@G^X-c<zpNfNMUc}dqh
zX4@7RQ_=9LaH^Vrfb6P!a_oSsp%Ytdnn@+7rkSt-j<iu{Ywk?K>t<Q|M{uzno8R5w
z0{up)Af82X`p>Rz30Ws(nu{#4jDDQsn?y#xN?2c<rvfF8Z)(d#0%i@~cyNuqNR%D>
z%v$9Hg|U8ScJ@P+wR@xwXtHo_ZVv~>g6)?4gC^@j-Jnbw5(%>$Di+e>d(PTxE8-zZ
z+>=#VV9qorp4?j}a80bOSaGL|TrjunvuYO=@UHp|K6wDA88>99h7?hC#v|EXF{Zg^
zRcsVw1q#+)UQL116(~*AzhBy!aB;w8LueU?lpT3St)B(Mad+tVQ1n2E%`V$aokS>2
zy8@Pp5puN#(g=IT#X=)3EBK=P6BjViAXsodSd+f2Z_LhiuNR=y?Ck7mV|z`<*iFsG
zd^sUz&uvhM(<jtfltWOyMw^k|$HAo)hRJkM8YZA2B3RhkF!=5m8F^-X*ssum0OKSK
zw|e{F@9*!{VIPyIxo~_9WJXBpps6MBm=-Y#t;9@vdy&PR7Qkr=snPB7WrmL$xYO*W
zIVr?_OI%Jm(1F>H^G)mxOr2!S^%p4gic2()08VztN90FF=JNXbyn!@60d!20u5z&E
zTm^pBR<0PYoyQ|{$JMe!K)FSIw*0-MOH=An6+z5ChbeE)kjcnGD?fS6^R%S;&&|Z3
zvk#{jzkTsISJeOI;jVJK?pcUAqLr1<k<3W3WsEQI$N9Vw9|e)_H0$gG;c=~%_saT%
zjOv(>_g1s`t>1$sq$HV$R`6{@#;;i4I7c`~^m1Ar5bq1+>9Yf?e^5NLVh5!}|DyD#
z2e>V;iiCOpZc*O-LV=knU{OzY4vv4YLMJe1o_7PUL%Z*rp{Nx6?*DrM+{FIfPrcg$
zl|C?|Da;u$CHCN0qN#6U611QB<_9oU{Oecy+wX+^TdDiE5>QQGZ$uCUn9LK!fOP-D
z0N*L+3Wni*gnc5X0?#}^-L?xasra>)_%#R(x&E~9$7+#Ac-nY6-3WrcKY^j~-*2^l
z4c)ct&f?eKwVtyZF+Tl;xu^cKLZzDCr}}e_FN*4?<%+-S3bcbxU;0vnAgH_2jX+to
zOHFhvyP2xFGzfwHAx4g-gwS&Qssp?&(yFATs(#727wEIc8f#&xrI(k|8`)*_I`n=*
z!D8CGymTjyNX)aXBH?T^=op41@R&rD%jz1Qvfie<<PCk4t>?st5O`T0;3JQ3>mrlb
zw(U^TRviOn3KbH=<s&}dJ;zH&onNsHaU(yrWh54&mquKb3B7!u+8Sr9IQ^xLG{qHK
z@++y6tJ<!CB8DI-5%1;Vb?OHgg!^@)7f3-)z(UD+Vu3;w`?{olxOh9Lk*~*IQ6Zo~
z#Av01w_ICXM$b-9@B4UIZ2UL;x{)i*+F$X2UpR;$f(dPY=16ePjnRVsbp*W0A~a%>
z`_<g;-<!7JoGTFVNT216u1NhFD<P3W{o>MhzY3BW(<<nJN%f#gW`g%|gpU4Z&bp6t
zZE30C=1L`Vyd`Slx6GL6o~Q7e5oe~&+}S9>6$H%zx02JF8a$?o$k`3f8uwOZ88`Ap
zK0{o0;$5mVuRBd8Q|cnE8e%(IiVJke5`6=7M}C+X#kkZ=CQ)@;Aa6B39i0kD#AiKw
zzXNeBPr&miEG!&e(;Mzpr$?Yah!=j&|M5eLhY4*KQCHK$#dw7I($QN`kW~E{jDi3R
zhplM{W;n}u(b5!P{s30)<whGsrck$aSA5i-aZfDnFAM7zoUTUW?sBwO0Y(mHc@r)s
z+XgIS@RNGZ#54?XC$w1|KBcRUVz~E@=_Y<mhr1$IvR>DnVG!0-5pR#fc)6nW^>tw_
zq7+Tgl?R9;t*x29`uzlvNLEA$?2eU{!|s`r#&jONF&W%)Jn$N$5UiCfLee}P-O<QB
z-3q=&oX^V3Z-RoJU>^c3GT^`i81=dQuDvI)fEahu+{1{*zT*D{>zIKVizZf;N@ib)
zUBU{oX!spJXSW@yv^KAOg8K(E48qK<Fw>H0_eC?HRiGbtYL>k>&p5b;)l-5&)jlxr
zkuv7@^#r((K3L=@TUv(G>?lKmcjHuoTq-bXK*G6H>?mvm{Kmnl9C2hOvG~Ux(REme
zy2J?2VZMV)TND8qcT^h*vZZM0Fuo*x{Q>7h(Ha0692~|d?mg^3u~p-eAir+B+rLCw
z6^M!n*W9_d+y4i+r$hD(d8bdH0S8ec646yhnc{s~&)M?#cT>`5{H`kgN97joY1YBR
zI-wF0;fz{|qj9sl(FvKDxE3Z+<R3m;Iv3(Avl21x$0&WUPFr7&;?JG{c;CvIILS$p
zzT@(5ST)2VxJ_2bg<T6DZeLLj)vA@hZ$5k)?YYCn2A7Vt-$Mu3*%&;IQivq(0~t7v
zqyw+riIzPEGoYx>`HUIX`fSTd_hxcVuixf}jb`xohl`EJ$|SFvl=fqTw`Oy=D=O!-
z?xJx~>#Lho!lvftvd6!56fb3x$T~8#;n}Dtmv9fQW}DL^Vq$g5%vthTupA57RG{hk
zKCP~2^H#W=lAO-6uf6(z>W#nu`tw+_S8=TvuG)IMnX!p#u^$Z=3r|80U!gUWYy&5>
zz||aFUvF0oHmW%XL5{(o67YO5Fi0%NJ=Y(z^r*Q9IS0@3t1CCoU7VcCJl-HBTJl0@
zV{q{LKB$5u!Mc8jJZf!So#t;Pp24?5xj{vE5$1%lHoP*_`7zeNYZlBDG&Ky~C-+~W
z>N630lth}_ETcjjR7((pqemGa-g7jkaU`*FZsbK<)a^65ArV*O`6tMyeh+bm2&hzG
z5CrK;p!}?Q`EzF$hppk-qa@(Qg!hM}=x`^ESUgG9@G)WO*$aWAX~y=uePfy8-xMaT
z(jE#j5P-Q%huefXgKnEoPEWzPo{ta=8`vH@Hy%2jn;&2YHh5Q@zyR>Tj8}AP@uk`n
zh_(CsHd)rFzNiQiW<3-~D;-w#Nn@kyl{4eYF2HFb8UJ=P7Bo`kh`)Q%^b@O*`^2NE
z?6&EwTe!q~xjgVEDcygs2LG6NnphPYE7#}l_0`J)TrPUpb)$J(bIpy9*67}iBa`x>
zXe{V_bTs2_LdN3r9<vb#YV_QZz^+w_@QQS7>6iDkZ$~WqGxy<<Ad~?fU+zM<@dq<T
ztdeNah_%O4h0Ocm)IZTl!r?)v6X5d-v%_?>{8bt?Gy|<U%~dTXFhgxK*xre%0Di)Z
z@RuhbX?6tM*NwCpJ1&^_ND$PJTVb-J4M}!>!1jrKEX0)I9fVGg=_`{D6Nl|g*tZ!E
zB0_M#$vK4~2jg2&VR7e-2)`+8ZCxe)1@0swl&cAo5;*do&EWJP9Vw@FQw(o4U8uA@
zgqa368*Haa1sKHM+fNx!WExlMV(c)h%n8I9mmZ5O^l%i<(~|RW6Il`HBKO+(sPYK@
zUZC$cIwGn>Ic{75F#ItcGon?7D6c+~%p>I7WpfM~4UFNbnOD~I9p+j_TbWjATseR_
z3X#$vXxi9KzM1qmxC{_~Rba$EH8u4Dm+b-}5_dbTSrIR!``u7%;o)d1%g?oC-8AjS
zmF~SEsk08Bee~etHt+k2XLUNVwLsDYNAyE1PR_{tB!Q&5oc^c;2(*5jljwmCzju@e
zTGS#TV~PrC*%>ct|K!@l?etAWGXc_*g5ZTK+w6MN$y}TQ!Uf@&iiNkR-(-kzONChG
zi)pOOv`NqDA+i-Jed-Omq~0gyncUW+Dd(@xrh_-u*O7v$6&g2Tm+TZxu;lK(67EI-
zll2uWv;`~Z1<g5sheSyZkJG?d4?Hv%oKWQAL~iW&w$`Iot*O?mmp&Abv!@B6y*z0d
zFnTNvv%l^1Iy8!vbx_Yt9@Isp`4Z6xSXji6l~b=oW7Dq|fg7fJdIFnCm3!{3{bPw}
zBh#$o4zrko)X0tvW6kMvG<;t-W?k{6SUETje1n1xjF8Idbg-9Y5<m=%7=dWZ%7nvz
zH-2d6*r5prnr5w^_KfLA6amXxV~hp;)QoP=NJd^~aa5`uJOmw4N^F-W@yqMv+|=JO
zxj1;koTlg%-~M3miX=<E3qF_<2Aa4}BN`tF#!O5&F%UebPCInT-s|;JCupYEvxqU?
zcrJnZNy8SO+<EJb!VEn%?T*HKe$RM>V02Yv1rE=w=4O7thi=Swp?%JR%PkrG9=Q~a
z&-~e7nJxN8^G}@fQ$7ZBmxTGMES%m+vLV1F2jl@G8S9U6m||0SZVcDR<~BX`oX1-+
z`L}`5BBJifVq{()EQnIZMqTtwO}jgFbVV#eYO|DmM34$}R=)pH3^jRSpKU?M$z$S`
zNrn0iP5_s<kUf8H+=FXgUmkt$P?Ie>l9QYJaMS8?2^ic%G}ZI#+S{|ceQem30*d^5
z(Zh#BxHzpV_b=bx4)6$fZP@Zg`ztHzmua7k`$k8?$SE84jggE~SG`(ZwKK%xw~qc!
zxkGMe_i^VRzoO@0RGzY88LO>=YOj9cwSOI-4Bh9K6`RF);SpL;3d;?S!Hy#Dv^&A@
z$kry9gh2+|C@Iyxf{ut{i0K8}^AZKANB~x?^vQ=kg4wOo2wk{r9b%b3VVOY4rjv{R
z>QnmxxECV^KPKHVdH2}z{(LLcxgHXQw1<h0!mTQAWo=uLl9a=nModj;VXTEs*lEHs
zb(QhqVc|iHL}_r+ECmzb-2lZCzzv@dxz(-!&^kN9xo_SpjpCFfO}{+vd_=R4)hbk!
zhJD1+3YtZ6J{h$QnG?$^3&o~YLT!h6o0j^FO37zY>x7zpZ=>D%Lj^l+6LaewS=L?o
z*I*$6v*`P00Lq!WV!WX7E>qu{M=rT|eD}SmVE0%$p@+Q<MhgW?QAYRJbGQO?zn24`
zDR)YeIusK7<@u)~p2UW$Q^h?n$yIyN0=WqUPbZZ`4}N_;a#e?qnYct_ap`e~9{imD
zd5!E;ragL7gEc{CyYWkhfKhgnx-d2?@sr_OTLfAx)QHWO{25%O8|T8znIW}(-Ij5q
zQ79t`S5Z<%#>U1bCcq~t`!SYU6-<o&og@Kl>$#XUvBkxlE?-npP3GV3*C|=^j7s1)
zR}kwapG^zlodr3xYYX}PK6I)gw)|?u?vfJs_A=-hJL)u~=i43c4D@9}NyqmlY`6OL
z_X%(VwzobW!B}-HjR7p<ynn_%<Xprs7Bkjn3k#oWrNhCDObIS4i)50xP?Cuy{jsRj
zh4&D|VE?A6n0<rzmoI@hEcgx^(qFsty2{9omlT$vu~eejeiC&B#8lN1caRKFAlJel
z6JS;u<W^~&2{|AeY&`}TLUs8TZ_!zkXW@yC&U<4B5ClOZC4n}wo12>y&CwD6n&)vA
zkil>XE666J@W)i*$i~J-5L&~VK>$m6*ui&;=-pDsLBDX})A53qHR)$QP%$3^(e3gP
zmWKcMM}l#7GBqzcLqPybRDCh1dKjL82RE$9JsCG+@lARhf+{ZJsy$1Sb1pgFh%4^x
z{tgmEqTe6iWvb56-yhUpKWf^`d|iL}@y<E!nU*$}=Wq??y!?9-Iu+4#Cez@WZzDc8
z?igL*9EGC(S>g*N^;2cctfPGo`Ldrlm7qX>+mYM0?&Id#wo*o<Q;L!-1(d4&RT6By
zzCk=HvWra2)0A|Z%Tq+h!Q3vr=pMC7IX)L*KV{~zY1N*IR);VJc|9``R6%@*GJSGy
zT%ZmOQ>r3x6lX(<o-pvL?{K*|xt2)uLwL>?o&&34bv2h*z}+u?<gi?-<%Fq>A5RPf
zzf61kKJmRS)7I<GZROF&*LN-Y$cbP`a5=cOy4E%j<vPu;cMgGStj2`Q*kzGgf)wS1
zkjF-CcM2qdv@6w5@WRH+PWSw6zq|1%>)vxXC^CPqy$w0UK0}o4krOkSwl(k$@ZUhp
z68mKDxu%9jAPT+(_4a&1Dsx^cS$pzC#hTrf!wRCaF_f>~3C~mWp=Lli>XZSht~Hod
zFb8rsCZ;APT@!AfJ8X7+t5TvfmvFh~N(p0f80&TtAQsgrK0kbH(n2NTkUhB@MW)p9
zNzs<Yy+l;zz?0x_A?H2`vM0dd0Iu9sMy-V<d{x?GMO2)nq8oKz0q`#898HN__(@`A
z_!$<xf=xnp_RcSZL8H3%DHbpna>Py{|6n{B!VH%%)T&});3mjxTOq^g1KW+l)xXA+
z4q!v7)fL~`$M*<?W&oMY54>3hTct`!O>ON(rAr_N1PJD3kAV?=R1k8#XH{Wpc?UZe
zdJafgT89ae1%+nM;DYfnSh2Wci~8N~8-89wG>c_3vRU)t!${9$HMc>HJ#5l*{D)*w
zd_qoKfSjj5zTKCc47l~TO@(4{miU8mt6E}If}<*2O(Us;)U;>|Uo+bGob(AJBf<y;
z$wuJ#d+A>#SN%kWFin5L^z-^WUQtG2SnHug*Adod#eKo>{7vp##`46f*h@_9=ty){
zochRA`mf)D{oF&|A7@K|%decSY%n>SxjQ#Aa%5|44jjTq5{UfVZ|neeaH2^?vZOu3
zs=`DAdYx5?4qGZPQn`n%cr_Y;L+J;6i$MR&>?^z8M2p`Dm-Guc;_dDrX+EJMyo9OP
z&)rvf-2W5J6^Arr-F{7RGccbqT5nByH~M`GQ_CB!qDv!(N5wPcjaw4SkS1=6l7{-6
zPF^A&v$w{l@WE6KP^voo*eqdNWtC#5;1Mf#G6b=yE1=o4j*Tu0z%k%`ob4C%2r;bc
zkzN=k`16l!a;WYb>#vNu=@eP*gA2yE+x|i+{jJQ$T+%0%%#(c+Ttp7<X{KsA*@yWp
z*9>&DLG6fj1Mg-L(qTp`MK}p{hXSs?R^OMDpS#3y-T6L}F|Ud|NcsFt1plRQno~Q;
z<b6@RSX)EG?_LZbWMIYG&?y~j%CDjco}*(>3Taf#Q_9aISnC7)*M%9!oOI?wV%O=B
zmdHz8qs&@x)i}Ro1RpS74I+3bLS}YG52JN31XWXB+1YEgQy|C-0JnnfazBGZZSNsW
zIENf|kX;>20hG*(r%x~bd~$F73*;hP2%xn21$J$hX?=!lhP;)&e=-vwkCUS*isFVt
zheMrCkd%;+fpFu!dOkhhyXQTP`eyX8w1)hBSECzsEE43Fc`7ZE9mtPO|3clbI+CPj
z633t=w1W$oxzA&`!1&biK~clNf%mK0dMyvJrYUDg52o!voq?F4RxFfk<MJe;&)l2E
zj1hth7a|$&xw`O7GBlVwMxy{hR_rs^nr-Ddl>9MELpykC)b(3of22bBjzC?ZF@{d)
zSzg9Q<35{q>@rL#AdLkld`FPkQ52GXSOk$3G8BbHgRn+WHYO~j-S!)Z5rHyH|IR&5
z%*KVdos_XX01Fz+e*#{-xE-S|$8i0H*gpeuy7rTk<FH;iDcC_Tlj47dC(mwRV5rOk
zMf%HKC9^rIcntQ#&1f3-m25VUFCTc=ey;tpL)VR=?5N8zmvMZV{d#sMd9s8)JSRm8
z4U$wRrH4)I&8gDE^B#nefNkb7{Q^ob0~W%Qli*cB?3t<X{QF)GtHkbLjgcD_T<53N
z@@Uoy^0aSA5u0vEh^u9*((!t_mt$i$hY>FO^7txMgm~-XD%VWa?*-zfKzmiL=&1_*
zEOFi&o>LYt@;Afo)w^ng%EyY`*=>1gvwSN*u&7s0?|xY1v0ER7d%W?NS_4B>fo_H9
z)7?(G17FGa&9&ukji<6Fk8sg5pbrr=GkjA`sb$w9B9%0gx1znA&4D3My#rNaxpppq
zF_xO6%!qyCM2u$;f)b%Doy8I!5t3xqLrguX;Fdgt*!MiYoe=R`BF(E(q+eR4%9-vw
z-YxV`F!~IvdKzZo2TW4X_ELxi8|s1{#Z3QhKZn~y3ED(C3reY$p5<Nt@k6y}yg29W
zr)RPKkc8mK=+N&KV(!U<_u#HeJ_O>Kb96i3J}o=4kEC*9$(5>|49fd6RgpKvn{Y6D
z@gqtm0KBUZ%MdCmB6ou?BS{ToTyYb)l?&&p0)k+EetvFlC)IxDfp6YH4A*Lt=@wgY
z3Vi5r7N*Q|!u<r6Q8)==!8C;Qj=C>v+})eynuIHm9<b1*CY~m-4|dR}M-E1y=Dz84
z6DNR!3MdP*Gcs8&4_~bz{|b5kI@_snVPS!M$ga_#Z;MmzO;j(b(FCg*1l|Ipj-^Gc
z$<R}I>uglTcrh^iel@bCqobpyX8QbgXs4EI&~qJN3m#MdZ1sJZa-eVyqInyTPMsJ_
zIGm8)_-l5h_7y0azR9eTLPbe+&(2-aOIR%H{-*&yX&oexQn|nqgb2it?hTv{l9(xL
zGdL2daY<Auu#k|3QbQ%EWY94o&PPqqLQtQ4;S(dgVKlx%x|^W`|8=sQ4U&?uN}u<|
zJ^h4Bq4n?K%>2BG3s~izz(ImF?fc~#JL=DF&|Su2H*f@;LLPdU0<xBu=de<DYMS?6
zTcu6DU6G)__&Z*QKXn_LxWD!S3%N3U*zI*QyQzs@p1e|-QIcEiWa^(P9b#_@ut*I0
zduPU(q0OwH<~HfH3aWf?bX&9)?_u3@VCVZ7lrKLJh6&dpRDU`PEa>1;<oxd(5Cr}G
z4IS3k(Ltq{(U0ZjGHqsX9en`VEqp%iZ<tJwun6hNkYQp8Gkn@zcy4FTA^au|EP)MJ
zdvIw*7EoD~TSJ6-H}eB7M_`Rhu)Z)rW%+vh-~M<4)FeGpG%Vylp1gtE{P)=X&sz=o
zk6+Q;(c5Nt#Bb!*_)z2m!9prI*T!T#2#tiqCU#m|b~5!QkGS~1f+4Xz=D3~j$DZ$+
zMR@G46?2cB?i9cO($-(vK1;^OpidrADylEddhS5suzRT;GnWXYZ#hTKP&lo%WB-GQ
zH>%h_YTDWiXzj5-^nr6HuoC@0hDCn<zp660nA!vtdQMeN4c3Ex5^nfmD$5wPC7)ML
z6rXqa|5=)^x;DT`*egiP>P2oe`6@dna6xK{k<dvjQC|MVhQ#gkLlP5p(w-TjU+fk(
zUPCLv$_CihdyyGIN9RqzP|VlgvN+WyUa=NR<dZYo%yAhy&0o{!{<XhworJN2_0M(%
zCPAxf6_}btDBmo1Z3Yz0`1B>xY+Tb{1m;hO|9q>O$X`#gL&+DI#aV!ui<X8^K{r<U
znsSSE4NDR?!PRpxDgk$>@JJ&D6E6{h1w|cdIu)h+<awD!G-Jj|96wa|80)*_^*xUB
z!a9g|&jbZWUnr@-F%d<Na(i5lU33iqe1MrJtJIEAc7V6Nw$|LcnItp2@sYcaumk<o
zQp!WWkBI8rcYeQ@Y7ev2lQL<~s#O_sY)$5+_R|oo668zme%?paD+-YC*+>nRugDh$
znC3m2^a=jABDe|)xTl~g2{@@8+7<v%T)QmpLEs(gH2GJ>?*S4NOH0Hjssf53nw$>q
z;qLNnhLTCNV3-;pH!0J0eV#j>En!8-=|n<pi5en!h>BYvNC$5e+anOktMZ|53jq%)
z19p)O8_(tVxB*0JQQ%`R1%2r$nlL;lOprGHcLbuKuth1PC;o9Me*Ki#G(Bd>GGhGO
zB_cBP87G>&88NqtE8oqeBNl3tWqSvG&rj23p24N2Q{Oym{kgpz$xYx~b|cTn=^<(T
zlwq64(<f@2v|`|~pq3-xR{e7pV@#0;3nG#x@+@%PI_857ex$~0FZbm8S?|=v(7m~J
zt-%antO)AfIKDO^&E+#nh9dUIY(e5t;z2ThU5uQzgw~RGu2|lqa(UjG9bc$5T}w`;
zIYyf3GwV#&;s@_dYB;y;XF6mTa1dy4EH?g16B{)K8cs`=Mxy~mgR0j}mp+kTm`gqf
z_28z=re0d3=~fbL)Pe7rOuXHZ>~BTFC3;=k@D9gdjEE*|o`2KcSYDlJ;LDntfOtbF
zJ4ig~J7e*f`q!mQ+nt;N?#m_b^(fl>t*pv3H#BW~UK1Vs=#->L?z6qRlkx%%1LImf
zE}D2LCnypIVl%5lXo<wwarNJ8kla1YG1!zQIQ=xz8Xf=B#q&fO;U(FxBzhSLyA0wp
zmKUe|cQsD_8x<gL9430g?5#Vv_>Kqf)QWOK)UTS`p>&Nac|;~xSh&I+uq^QKTA;zy
z1Fx*~M`fM$xs^yDoHCZv3FACGq<eW75LuqVuoKY^wT?@|yio9w2DTN3<h6dOut^Ew
zE;)(#MfYS!(?d{S)KU&UWonp|fzAhHVsr$N1-2*>o7|r#?PFchs4;@oG2oNNPn~0r
zuSdQI|0jx&wN&uWfdwY4;?OXt0c40_+YaZhzt;d|3u@M9EgQ8}HO;3dP$BM;h!U8X
z!MtBn3X2eZ@N?b|wvK>2mdacqj{eqqe%1vJ(O6xc&o<gWSwIsevuwJml&!^t?})yg
zmd07{(+Se}5EG0Dr4}5Gh>{P`LGO26ZHocDAo8ubPM^~?zUGnTeY>)a5qzFALKc;_
zSg8D-yJ7OiRH7d^_BTpx@;u@qiI$0$r7%>YgA+2KAw8@Ocw8!T+5c*_nfcPkc35hs
z>_0XvgpBFfo5ijD3XV?*=6boq&!U~2_^AH4<!=(^=fade227)~ThEhz7Cvjspelqr
zIq(v``f`1EEd(`i7+lJEW}oI=Af!$S55)~FoBmSnm!6ZHW=+w9<S=vbg#F|O)a-z?
zSg*XRj4XmE`r#<L2!!CAcd!k6YDK^seJ@~3=3CoVJQ!!IZLyD#))jXVH<<Ds#kIDj
zyI~ddkkk!bC<1R9ezjnOV}Up}-j~IA5?ffQU()KY*w)bXt_wY-(9RRYrk1u54U<Q9
z_Y(nr?ZeiNu<#U9uYM*fFSz#pnCwVwiaxr<uF^@O)lZ`;bXw&%a;o$sj?hno0}5~6
zfy%+ns+P<o9SNicRH<9VS(2mFW5$@v1f#~dm1tI{=r?J%PBYhk?RWDoSx;Zczz~kU
z6v<CB--wv8eY@2gK2o*a%8>H0KPppXsv+`|$lKaNMl$RV;OEZq7^?%91%~7(Qrit}
zcTVIOI$9Ji0yZtjWH>4k1OW9Dgb?1s)(|Fw=YEUrPd}@leiprWJVX)u6@ns~b`H!@
z3}E^E0L*5UwxVLd@Z09W_6{c`lH59cD)z4zGKr!}6yg9V+=_LMsPbZ4w7ix$cdEyT
z$fm_|vTIHJC@7qkpP@|u0p~?t)fFXcnsu&-Z=F1nk<vnO3c$SQRd-Vi=~q*VCyT1}
zat?TmJ6ayluX?NoLr7VjX{fp23#hIs_MBZ@hFGaLf~9a>`ACSFI7)0YG|Lx{*Xaoz
zWAsy4MC(~fWIQI87*8~uPsT4ieZ~EJMM0O1w>N)LaM5plOA`+yJAECJT0y>Q8FuwM
zyQq>Az0-c6fI4I<2cbZ>0mzG;6x5a~<!X^fA?)=Nnwtn4cmOjqL$X4dcBlj0a<uF6
z*nyQu%#|`;Xf4$%s5Ku_`kvelM64bt%z`5jvsF--?Hhj6aoqMQo^rkJlrgSovaG_;
zkiluy#K3@=eT-#yw#27gxBUNJ0Hyl{exl-NA8T@l$>okSp@NlwpyxQA2?X5q#ue9y
z2La&GO|$<oAj&kuIXGOVk+Rv?fu>+5eU3eG@?PD{e2L7HMNnwb6WEXV@ot;CThrU|
zu^{{Jr-khF7r+o{T4}Ir#tE=3i>u6e2W+gYcU@{Sz}vcdYEsQeRbr&4moa$nBE3b-
z{M*8D^=8(}aoN9eV0l8xhYfowO0)aB%Oso`A2AL~BTGF7w-QsV7InzD%$D6CsCxsy
zFUnu{BI<RlEHYd$uIDL3oLyzLQ7gCO5V2ry%Ex9@(g?+Z1g@A*gs2U0P|QB+^m5HI
zk((vUnRl<Y7{9G?XW<evn_HkEx5`A|XTVE9upua}+&SFV=#YRD%NOA3?Y?p7e#y2T
z2vx?q3yVxi;wn`}#w6FZkwPpnMzW*)`S{2C%wBDQIl$SXZS_Q|H#s<#Cweq)$~Yx4
z@Y924ASVwoCJ07?1NO7aH<XV~tG9efpnh!iv?-FU4hv#iN^wd@=*EVq0Nw3xu`<KO
z(vriPpI$IQwR~1qUVfy$f1Odq*RC6Mqj~%F{Gpj^(`l8`x(~lX`HnG}gcKqn0kttY
z^&dnjFhqVWcmN=S+=C}3lx~Dc%Q=YBFRO8uDW6M$Jn^J2;E@5}P+nx9+ayrcP{JfP
zZg&J!K`~WEBso=5?7#KpyQa>c4`S4DjU`Men&XP*Aag;WpL12kbQROdoPF~oDP!O;
z=}WcL)!h6!rSOL@B7P-7Os!l|ZA;6Y;x=$ggZ26cbK)igS!uYbE5(x8imViHvreL=
ztBMmSnjXgbiv2|_@)!aQkzyVCp$P+|WwU7CnmU_>+f{}<laoj8y`PlwLV|}xsKYh0
zZ&^1U0^ttKeK+=vP*n83Rks}QM|XT_>U8jH`%>y4WhkYO5Kl%<u7Bzk0}#xHb}j(Q
zzx|D(QL68x#;d_B;$!zbaJUwfvtbj)?L=A*_04@2DY_Ej2v2q^!`J@#2iM`m6EiW1
z+hgsE!AHesh=@ha*=!^#ir-pzDd9-yoKA&8xSki;a%YNM4%1ZkE!t+40#}APaj&Nx
zH0KI*)Hj5`h#!(c3>{|F-l#&Arpt6k<qbi`T@>~J3nb8;@pz4aoDr8m2+u`D%(=^$
zVV30(haD2(Fku9{luq9*4T%BA;{|}21lsqA<DQKMPhI`}2ri>AKX=3Gsnq>KgmH
zVz5rWcdY;}9pM@l^w=!=<4!g6<1%h`<Rx&7s!SZ&e)`&41ooOtN<)syX1Fs-W2)-g
zqAyTi5ypGZb#{tU^@G6eu}H+P$5>D}>j5ltn*UgtZOB%qlt@aId4en2&ZrY5GBTAz
zE^8gtUx_H62!Me9vNhvp9xf<c@D^#8;aMSWXmOQf7&WP3*itm%ZfJ3S%BXK8b$LW~
zy5aesu6F=rJJs&aCY}i=KWHB-S2SY_-M%f1l>V=H^gmxu-f5>9kJgyh*vn|Mj$23D
z{%~H=fIHVpU9yH{8v~O@2Fxff-6elZ>r)$cL!XWr+qJ)YgBb#GshW{`--p*e*F!-Q
zG_dO3eEuyEmrNT{<G{m43^AJx!h^*4GLF>&@$~hj5|u@nb{p9S7|0_g%StH_f~PKb
z&T6W2g45l%QTutl$zs9R8Jct+GhO;<Z41h;HYKA<v!apm&_d*A6f!F$ko9aJh${fU
zB`i5sch+_EdPZOUM6CN~jM86wIt;wnnD%AC>uswfYm$%t&#;*;wB52ZeMu%QI%@sP
z!}QqGO%({b7O4RLeBBx6{qI=;%J^$q+d;Q#L4Nxt`cxseQWBK@VlJ)t-k-M9&P{q*
z-%$dEvuxRE%~eVSR9Q3{GE3TJ;&y-{x$Ez2(nbd2imqEyZ!Cv{?PdjKd?T$;C1SZw
z@7jkYk>IgN(+VqRT=P=YO^x-q>5@6!0w6Um!wQ-C`7f&Dg~_C+3#0}$+zBxS&?--R
zZo*@OEJF9)TU`m1GcQE}lTZ>DB%CATb_f%rP(;5lZHTY6!u=}&BtlpTFwhXZ*FEfe
zHsC-^NQBaxe+bpA9v^;X`~aGoT3Y5NJK&)RDPVM}kCmZ~{Gu=sS(=~XTa8#N8yyCR
zkU%S_7|1LL8kt~sYP+_ThahWETPa`HxzwdT<0*?yA_qdVn60#Eq^zg%4V@j@GoGtH
z^%tYXYf3&jweOFzP)nGt)n#V8SGniwzS8gvnP95ER>9)=YV#WFbGZ%zN=&65t8=oo
z)9MY-c`ilbcYMTouI3}yaiHKc3f^j@)W&svk83CTnZMm16c4_q;euCUY$1Ov$G?r`
z7TxD%6Akn^wk(`Pjg-bldM#UpB$l8Y3=nR`!rF}3IoR2MTy2LIUM<-2hE6g?(Pok`
zJ7fr6pG0HWVIhPVgrMs2F^DZo7G66y`zzi5@mHmqJN#AQCKAWXvQs`x$c0R3?_2Ut
zxAJR8QZ>kSEss#H{}l5de(h%TTEiQ{N5+lV!WxftmlKw`cb7!M^Kkd5ss-9KrUe^+
zB0ek#L!cJ13?Zt$>!{zdid0ExWFmXwr`KJN*+?eFMpAFC{O5mm{<P9aC_M_IczV1d
z=tP!h0-ZeBhrL%DZxd1*+~&-fu-oe~iUyT``b73zlEb;L9`PBHSk5yx4FCOilIxp5
zr?2yGs`YmN=BA|F<aFL2hewp9ZZrnUY#EFw99a;7+EVbIn40|)@)IXK9i~+Hw{X;+
zTs#f85RF$hF(e65`t5H{J8y1(p0>XE;XidAf5H^~<M61;#HLj2-P_;o9Hw2_`W!sx
zt+zSnuU+$Amwoc|!r+~2nK`c_7jN4aprN6e%J<>+Fm$9mH`G(lkeO97MovUZgp;=_
z(WLJ|OB|jGqqkP%)O1G{VdQdx<fyOCyIQQc?M$l70Z<ry;eIWpfo6Cae3c+>y4Md}
z+kus8RbkKv+aQ!;=;%gAQ(|OfM2`I-vxFKFqx?KQJ)JCeFpYPfD0{#c`4@}@b!>9m
z_LZ_uo$+L)@ff{h<cH^?F~CbPz&w<GdHlk{4*(vu2kXbOtDvrya9qvH&6PE>oxq`X
z7bFEw{(M18xRLxI3B*<%0+nP|4BuDHdj42QDNuk*NHZc?<i(~N4Oj4@9Y$v}0Rp2b
zm0+8pBYUI(7neq*uIQBTHf0RgLa~GPc@3XbuKL%8Ni93xOwJKyy|s|Emj&DN7!YUk
ziTOT}seIH;Eo8(u@i-p`sHqDFi%IwJKa}L)%_)Dj`RZi%JI8phbHlU7fq1Z9NM0a{
z5db0UGxC}O?j}!;+weZD94a39{+P@aPIvSdAa9C<vS7HJ@L*bk{<LDA(nc}&U3px@
zubu_t1O%znZ&Qz6E=&GvgY{gT#d`l&?UPaY;SIU?lqTd(+`A)-b$)J-NpC+gf(oKu
zkt+KV39U`#L}0Q6ZL?kyX9le{!ppu{i{TRij~Lp8c76pY1~)msedxmfP-xI-MQ=Mo
zdl<SGoh21U;w712MrdcFzaY!^Cn<A6U=As$H($*m7uEx6PAtWonNdr%o+pA1$#J84
zKNfxU$-Z~^<(O>noc&4ei^rhuWk+Yiyzzr8P;vcwv+t3dgn|OA&(+#Wc~IkIcX>|B
zY_F%9H(iwB{I!D};mr4jQ-PDsWLXGLoT6gg`CqENBK3s0*J-OoMN|2ZAWmXh1&czq
z>0dhh6x_swP(Iv{7`+eV9q=6VR<FhrHU))v^;FA@BIBn10&G>$IBk_WV~$^bwKj8_
z^`83}NZw)g4P!tO;O2U02WaL7ENTTjoVDD+lekxqA_O*=vs*7;ZPnnv3X5DT5r8vw
z$SpkrZ3y&1#`Vj8Pk~Vuh7JVPZhn4$zz*&hW?;{2TW+J+DN`GPrBh&b+rU+)=0{+6
z8TTt%_yZdgV1?@_ls*L;=kYNyC+qFEDlUF=z)DCt<n{!MqX0vqOVeH~|BsfZvi~rI
zJt$%j2(0QYz3X?0@L9_aXlVubD|N;-*FLQOoL)ts<|EtZWXfZbC-@(jPl$%x#Pa`*
zzY)8Fq1MpJLt*B}C-8kFWEu^eKzae}BD!z=yS*Pyn_&>cbek66t&}nAvAXDi{U}l%
zhzv`<%UxG@6DRqoPVyct9ce?cyrcoo(2199JH0*a02O}bZ+vd*MP#kSvM}gh5ODLH
z;9E4>8vS9I!yi){AclkYwKi3b8x+kt$RW%isaWfmjcJT%zW9)&9i2s>B;)u==Xwa<
zzlU&2_ec1fGv;&AhZULw5v3Jz0Ur^j0sUPZ2xI0<bEZ|e)YdY$X_LOyjJ9k)SYIEN
z<9TPJbhx(yO5nuAfZIu16*-w@j9{F{O4ctBWrd=;JK#(RR)rk1{F3DH%wmZj_vm^v
zl{Yaus+3f`dV0D4l-p{4V=QeKkri+2@>%H6p~89!`D<E1IE20*y@eh#6w2bTks_88
z&dNnK-D~wnPy20Zi22l~o?;oQb1jX?HDCg7G<dA~=@(N=0l4MFgRTOOFL7+!GcMmp
z8kz8@Kht9l8Jh`=+ku%m=vZh~=0JbQFo5Xt1WnDNfBnoxT*QbTD#3(g{=Bg%QsBj{
zj}9{-A(Q!$_H!(6bfN?4ANxoMo_<2P!&hdV*c)=0JJFB;>$`sJhX;U}ui`ZX8ytZB
zUUP0%%aIr(B_UY`^R~h}KN)SsXMPkI!!w#(lc{eDzcjq$EM~nwb2F!<DcW=QwX(80
z8m2<rmN`j*V^6X{j09Mh65-*o*aP2F+2)?(+8caR4YML%2wVm|R6RyhE-wrOv||ok
z!^$A)uA@q9_z6bt@dvwyyN8*~D%{~?pj`)uf2Ur_v?DRh6hk1I3=|iKO81X%D1bFU
z>BB1him!?I%zLv?OU<tK?~*4Vfn4wZJ5Ly3mD=z3v%&c9wAytsNEQaYyBiXJg5m$#
zy-wQ_*8g<<gPr1ls>uwAiH|pZ_jp}VQQ^Jrx%gjZvIq2W>AW^>1b<c-iSzEmyE~MP
z+jqOKf~-2-Pmwr$ByaNn;}JfrEV{R@egFO)yd;`CIsy)Iy?^+Ee?ar8Q}eo4$g57-
zLEpHxv#tkc$bUaVm3OCu)<eCZ$lYcb%;YXF(+x|Ffm+2#k04+m;RkscklFtAUz!s}
zDcC#PY_(Xu0We8C>psFhPQYT;XJ*4fMu7Yx!ncw7;hti-yDfrG!z9lwFMvmlZxyBn
zAB{*Ht%<2qS5pK20%;PD9!Z>-cr%Pq+$nR6b%Ae0^2&#b(CBIGXe=aO@irotDA>VQ
z8k2uFBSa$9AqnBM?&a~NJ}G}Resv0}<Q0<Ee}zgvGDP8_VWDSQw2%7NZywB&U#5m>
zqGzEfE9Kv;vocSvRc;Cg4yb)h;r{rg`M?;P>{bDbMxOV)#IAb-P&EvWF{;Ie>Cunn
z8pO0XwQa<lQ$2^?3=}O;%3?kv-i4QlDJ7IDQ6Q96EK|bm0YoBaOH+r_L<zLlB)T=+
z6$ccN5D9x-O;y7aWrKK%u|0sUyE48V6x?WX%07SSo0$=atM@#|4_*)&qXdU95O0*d
zhdD7{1L$p4P<H9EEpMJ(LH4OB0lWk*q6VSlG}l{JD^v(#kAmIi)lHu93|tZ(T<I|L
zplhb48hS)_!Axc2B=4`-##f(Z)QYPVpW&sFV8~ck`kLX*xaF|CQgQ?eNbL}%QegMA
zb8brzZk+ENcz|A;23{+a2X&nnEyR`#B#G$H^eHD9k+(q<l87ThguO;2<8z&Vvf&{^
zTuT;HDL5t*jrFa(nIou6P*JIT|B${?A(ileK*DK}^tdjxgApJ?c(a&%er8Z_?K0h#
zpXC*kVxQ^X4;#5~+~7IY4h+z@=Te)+<^N^HwO!IPGCX|EoI8QO32cw=0^Hm#9)Ks#
zx%=_P(diO!{QOQGOdo)JYCP<`@$c#O-F1bj6E7(M10I-OWi498t~=iXOklu1o!b~&
z^P2k@o9Vwli-8;e4qu7;^<nYnH2l}P00Ra-&Zc+0eMGyS0Bxldph*n81u|jJ?eW9f
zwv@n>#%m(cAAZM`*(;eUJ1|mbswRxp`EKuZ5S_zvlhZ1AB|L>b@7RQ8OwQZSyPkI*
z%BDAen2J=Mb9gMlwQzQ3SDAyNGN&rm>kFijtA3=4C)u83d6xx;&lyV4b%7ckB83=+
zKX3e7WzNXZa8;8t=*+E9GfT2eT`@O>JoCyuqFf?W>`L@ZF+twwb2J<T*Y41QWyn!A
z$JbWU`L%DgapROm4oKydYBTSx-g{2)jMdpUu3XhmvwSS1%YEv3MkP`i8pNKXH^rZH
z9`i#@oxgB@)N*L{t*@`(mEhQ(I~Y?BIvrDK(RgtL7MfXVb<!$T-;Q@EI+T};S^CX`
z1v^s~i~TBdJ~?s`*~cpm%5bSq+RRv49jPg!Bcs@!-+KrlmJ{&SHAcRM?0SV#8=f!T
z{dI#3r(L3lOLdxvC;xgSmM<Rv_t!TwPH}OyiU*bNNK_$jm8qu(rQE@JIyX0W5cH%n
zXBC5_Sga|l@m`WY9#0`1fvG1&K-#?_JxP!2z$RIm%dPTRLJc%3m`39Qe%pTP%Ahh0
zKn;U7e!eI_N_{VtiU}7P84MZk+5go3Wq~=Bg*MX{xHAA;p(Ln!!8x{y{doj}+^Dzv
zqsbe+vKP~TU`f0|R&Qzx3Hi_eqR=z(gK-Ph894_<#@MM)?&6A(;fV>yz8VpsM&5};
z{n%QSWr+?B-n1*4A>hc%JCu;iA+}|w3-5unB1?WH_TZNL%;JB0ww|=UynQciBVkz(
z>zc*nnY;(TJ|#lIp5uSkdH|!1tIYk)?!M2y9^WQ&ZrOq*E?`02s~@K@OeM%0EymQs
z2BG!C36qNXpriDlBXaLcOYs{^hQ^NHB^-~iKvUadCorx*tm#6!nR4Dh#KpwK#KqrP
zV^51tJ%9`b4&)9N*^NDI_dX8-AC15v3h#i6kEQ`$NWVVQ)e~@}k13Xg4_Gcuz)|5r
zX-1!tAKmH>DIfxH5CsW@)=^I)(aFW8lf68Ds~x3M5(sew9I}K43&k;Asn+s0A_V6{
z$JUn>V-V_Ss0@Ull43p=h#@A``47>~H^SqWG6Eng1$R~^5Qh*O*w={iDwfk>COFV8
z+(14ygb3}z!*nD?Q|c<%I!HKYnE5a=5~AxlsbypCDPFIPtq6C87WmGzOgk$(TloCg
zZ|6V&7yeoXfj4$^pmtZl9c~!XQ&5~piO~~k)-~5^@8>7<5UI)hK!Qs3^6>{ZxY4wn
zS2XhR2prnQ_0%;w49`2RHaQ8Od$qH~zm=`+Cx}SF^@3}Q1^tPZ_0bVvQJ|+6JdcnZ
zk)A9{qEP7>Rr_ABvh?KJ^?kroJM&g`A2AEj$FOHc=rT-)LPot&)@qvlS^F=s0+<DP
zacKf|^DTy2X3-@aDv@v+G;)?a&o(^q!QlxkSPgA2Levd(g<O-Y(U3zYrF*OjLKv9M
zmd@3IojM3`_3?N0b10bhfW~Wu`+ZT@n>;9Kgdkmx3-uCXNQTf8FOQjsUu+{B7xE=R
zLB>tdIUtlAa(Uljtv_$?nR&5b+h@l{ruLlPwqMnWw#I`zn85hEp0=VOIrid5?&tvv
zo9ztiAI2T$q6Ev|6cveGB}Oq7Aqz;VQCtzIJ;1--qkf;oyJG-B8Z=wWBqt&9y+LPm
ztR3)8Sf=9^d1OR|!&~wr`hk=rD+DI)Y*ps+cURdPB7%agU^ED7f4ofZ#)OFfLJ+Uv
z@)O6|7I<1&?1Gh~1Ad{b1|p>D7`_KaF{Wx?x5&K;pzPk~tG<Vk8(<T{Dj31`y$*YQ
ze|<wKV#Jr~_`Am;epG4b+`1Phe0I0b-|ed}<dq1xEAs{qUGItmQPFzT6Hp}}$dHVY
z9(a7cOnH2SX>!C@r77rruJzo$O)XNxIfMHBwZZ+Wn5~g`oKUDl1Y&`mW#UWeDs`M%
z;paMIdzbf7GC3&>mw##Vr?N|r9Ew;@vm*Uw4OG#iA-#F@%28ld1@w_xJ&|-bHfkx$
z{IhiwwXvOC&YR?mo-9&S4dv%U<F+eqbz7aE#|IYrq+5c(i%Dcb39B!7u&d^wa(2!V
zC!6W?`-e})DW@}5Tf$BBku$7jyB-V9&2Yf)<(HREf}T;z^!|%BGkE+67(g3tQBl!I
zZ`i$2oOUb(cZL&lwJ97o?3+YHS+CJ(g20lpjt?d(%fzD!Wb(dr_Yf3$9HqW0=QJ~6
zL2uJ9LN<e>8g;bEu+51mojsO;;m`la^=Z-VfQ1Eidi}t8<X&2getfD^<gvSK;W8h6
zgdUTb8UnHzR$~!r-i*~ZIdE~UnBT5^)Jk*VdMtj0L`r1MFUbN&BcmZVAt{^?0aZC_
zd~kp*T3S60_O7EqSA#h*(dtBP>fZICXc%5hgP}>_ch7ZB(EaGN+7w7Nn~2xlnfBUU
zG=d>G18u|2r$mU03l0K~_|r}fSL53RyHtcl<r1RadWr!gj&$6}^R9A}>OR@vNFaQ#
ztYj@1PzEGL_FjyPWArpR&G7<HLeWf1|2NkXO_E%u#^*+H$k5=-P<#nY)I<a~tY|nI
zHhfv`Pta#k$krKzDSj(yACKHTM#g7DC!b`GpM@GYOkEW+M(+qj7mi!-WRDHwdp9p_
zqciybU=sSsi{`Yza{<r}!C2M@$DD&;5cBu}_ZKAfkRcrY%VX@tF0kPjMpXcGe60;&
zf`49jz_uVb1$lzu4`6i<Pp~HDV=!K@I7M8Sea?dq21O@Y$4WfL9~giMhWqVt;WxpJ
zTFY168(>YINQ96i^sK?8N)96b75{%UU3E~@&)+}#2<eiNl<tt0?(UZE?o^OY;ppz}
zlnyD8l5PnJ5s(rPFrK~dZytu>A7GB*_OtumSJEyB6Hmb;%-soEMOXRy@=Uk)Xa|MB
z$hRtQWzKluE|!QXL|r7Cku2o^p%zTZnkFqm2sT+}hvhOk{t-pS110M3Dvq_TC0IQW
z*<}`)kIf2x%fLM4N`7gy^#-SXGeO>OZ4cDP5TQVo983)>w*IJW%DrZhTIG$M&|v9X
zBzKJk!4O?L_*iN5?&syh+}xa<QJV=%Iv_Gd=Bc>9vN;T}S;jNJTO+2&N0!D9%}Ivf
z^H{c#9>Ii$%{WcONSzAQjReZ0a8;laUS|vxSgxC3nLM94rKUZa;=bk&w~0hD>^bS~
zKX2vRS<YgQ7NvY(3a&KTKla@an-~4O51PG9{eK^KH)wszaDnz<XFhjCl?iRO#jPXj
zT6Y%&6$G1<f7vF%Q4rL$akHt#7H|FB++HSa%7TSL{oO{DmMvOIaGI}(C>Kpqb5>l5
zZaxdxtcQv;m_!%wcE5jT>7d%O?FuN6Gh(V&bV4dCwi<jZBVWQyjT%Z3VOZXG{s^es
z?7Ik;ja*j?e-2<%3~W%<xY*L(J}7gUrF1;&{t*ZPXHjo$!!1skZBAggIO9$cx&$IQ
zu`)~MGjj4t+h(Do6;r>hzkeRlZc?iB-nSh}K+N$G5I5T28?c$ts}F&d<NCf9Tij5y
zI;LdToSHZZ?f&hdsE21l(L~exqZ*L*qs%<ylw<o`ySsyn?<z}6Do)xNCTAXjm`rdG
zLa0=pb-^?jYeD@&#*x1EumnXQ5Q?^|vSLax4xINsTT@+Js@mmg4moBbdT|uBI1qtU
z?9}|rkS-HfUteFRB>#9;ig6EIO)Zr&JoUe8jD+}~ZBbO$?9bXJY)D`p0u<N?J5mwK
zfZcp`*S*r!@CY|~!lMQX#DZFaOX%d2PQkm%`eT(1z$M$@{mmTseE=_zg3s0PIQlQa
z*VFn*VP5YyP(l}G((K}i02<cz?04py`%Jil?u4^7?VTM;jKO~)<e;tGeJ50z=0$lD
zmIf5NIG=W<ECt;fmGoOy1(7!5U}N6EI&tntfE)1-`Mm3(YVJXCC^xtN%=A%(y8fF{
zk!izf6pss{WI&sz(o-WhJ<k;{RN7B9)w3RtQpNCE3Y|}S?{hJebZu(O9w9sXj!C7I
zj3&w!HU}vT3!8mGchx6tGW!8v%(-F!FId8)B()bu^0lCTE2C@cfQXiDGDDG@Mj!Sp
zep0+fh*1VPEKo+Kw)PRt%4(J`bT(}x(0gllS-Q2uj@PD$3eQ4bCv`Ew@Jm??B*p+y
zZtD6|!xPU9|5YFB5v(9K(}EIN`A1DQ>lhvT&gBvJ%c0VQv$a;cR?krO$+u(uMc0tQ
z_ct3KxUhyls|4n35RdS0WzQ>%A7+L#zj!eup)a$k{mEww^A4g6i?IF_?yE_E;`j!-
z@9x6WM|>v?>PUxp<J>SKKYaW4joN^FS}V(uG9Uo@+&;yD6B0D^mnu`A{TSgYlqe(7
zl)1Gt{aO3jA>F?xi6Jq9JUl$&;;)k!g|LSCR595mt_dMnX=S<}uVl#DKNY`};gwv7
zB8A|$#h{1JyL<eb+uaOAcG|cF-~dBGzrGS4HDvdxHHk*y=WJuQ>Ltf5S3mo;@G+U0
z7DIex+R@R^z8|Ex-z+VWw+lQO?)=exa>$x))|g545;Zih4VBCHm2SNrBO@cH91GYU
zK$~$vprtWI3!lULjTv`y`iTgY+*Do~D-^#NE$p@ev?jI_tp?e5iHSBCB(>L0Y=uf1
zxabNfR#*vX5$`f!T9svd$}aIw-`*dzt2I>1ki~fK+<p}_18p1m`C<+NA-dK7uLYRR
zP99nRpiu!MeBO*)5ffubWA(NiAK%!kMJZOIWgQ1C?pccGN`q-;Uy@Zk`wXI0omO=n
zI~J1I$N2AZsw%21i{UB9djTtA`7*Z9EoTAskdwu+o1m3y*n39y4Qs!w*8^|9P(FeI
zpM1sV4IFAw2cZBjI^62}+&GQ`SU2ChJp<$P<scGH?^SvuTe^}Rb24}!2JihYvQtsM
zROVMtqv~pXT6myp-#B|bANYs=^J0%%SU3;>hN5iG)L^(K=n<h2gAz1ckPHmheS=s`
z4x6`GJ)RMf?^nU#4G<xq-s(YlMkb05*--8gcCb^NVPvCEDUm~@rk}1tCJIl8Q?VK=
zm?b(Trzruo9iYEhLYVi6oRV^yD%<W}r*+Nw{e~h8H-+bl(n|g#41Jh&gDuE0iOhl%
zum8NKA!y#fL`mr7%kzLQ=wAL1ojNO(DthZWK|(r?MuShRll&Dh3X}w`?W+2DlW5gd
z#PMke#8WhqP>p`$rF2C_#XR55PE>fkJiEdZxoX=SuDx;@LTxsB^ZP7qdwW+W+i2K^
zFrtOw#JX?DNEnnftH^{)J3mP?{#PgYI53(LM6=~xzXpHK2Mc^q9B4t>Qsw6KW-brG
zLiZ;RE#csH^*aizwLyo3Y;HarnZ&V3v<oezC+0luLrdq#6h0YUJCA>PP5YS$G0;;>
z<qQP=6qB_y8Sgc7dPXPqRW0<MihSZ{)?!joke*@)Zd)~F&rMnRJy5`hgX7D=#+Hzn
zNEAP6RPTE$$m<p8S8&_#6&jF0i|b@rlR|MsjUb7H2B9_JKBUbcAiQ2&k*ux2=0;Y3
znsOLj`VC)X>S@#v1j@~=>J<Je1QkJH@)JG?>2=%aI3oo}PB;L&AP%ZAV?X*(Xh6HD
zItwj<6hP7Fpl^2<b$m;lH#jmUNzM(|j=lGX7%S&j>9>B|`4FxtYQ;!FNMD%={@5=u
zd2Q=Zkn)4Jfe<5;CsckUHa6C=U6_Yw-m$%Vt07IRn=B>U2Bzhtx{hYSn)IQuF0!gy
zjTIjO0+F&t4R6{$_Ey8#DP_tjEOg`S6yA4uhrpGbp%<!G;{(lT>$Jp(!|T+k(uraq
z&SiSQ#Nmq{<rSI-*bUK#k&%e=$4Pl%7FG6)BWeguxggDeKso@+?4HTyiRhd95J9X<
z>d8UIW%fsM!$M~lfn3A6&%%r@y>8q6@Z!O{FG1&iXM@>Pd~4Wl{r88d>xEV~lbQL~
zSUYgPaw2E+utkQq2Sc)$y}HQj>4I^on4=5&AFHdY|3&Ux3?jKKXJ|=UC(}!qqmpiV
zHs#F{;h#ArcbUv^C7f!5$O}<_cP>%|W?qu=%gf8H9=}&#tk(8=ck@7fP7)ZL3s&s;
zZ~-26dFc_1#l2kZE=K88L?NwA;?i;}SKg9jJheVA1A#Cf0I~EiSHvL#5<go0TX%F5
zzwM77KPtZEKEa&>G;Q#<T|Ls0w*k&N;)K;GZXKh0AkP!Iu3EYmiug!nCV}4+nVs5=
zO6NXO9m#lucX#L8dp4aXBA=QG!@B!Nn$F`s;XA*RZO-d(JdQ(^k&*ipkyc$$A6~j?
z#5?w#majmqzDWCL_e|szb>EijdsSW~7#mtOE^>(oAV-GNde)KaRVZmSpM9rpFD0li
zu8PhsHI^$V|5HS66;emhJ&iQ1<<N@gKeqbo*Dsise9mL#Y0*?E+cR}uuc7r^o=Syb
z#Qcwqht%>v*FEh6>!2s7Pe@Q{VJdvB5H0G@p^!n`7RU04Bc^ZSrJPDIdPV$=j^bvw
z_O6%b3X?6CRX5=?9!?}IhKjjFYf{vZ#gEE0bkmL^a|n&g^JdIXyo!6sZhDqgT7$d=
z@81HEg7(+>R^AU$;{nw+Gb}q#x}cCyTnpFqSu8`MQ0IdK1GWGj#|YvD$mi5$%j-c}
z%ZkT~gqhs{Z6?Agt=RQxvk>RtfZZ}bx=HM-QI#(~Rz0|uVD|>ZnLe8>z6Z!0h#yT!
zN#RXI2EaB$55YtKJ4ir!J)1&-Oc#MZ6_h!j3tCSGHM`m@P6HlLMVNA)qU**j7(Vv*
z%d~2?&q0v^pQ`Et*r&musNNttci<HJbd(kgt5CqmmW#HGPj!LM^qDh6qIJ#0nAFqZ
zgzzZ~%!Cmi>SI|lUq&N<8<68U#kfjEn22%a5h!hVcK1j?Kwz95Zfr7Pof;Zt@vDE^
zOtd*kjK@@lEg>Nxk5Kd#^gRF^$Hi}(;n1fEaBB&&O&F=2Ep2XYUVa@v@4Nf*V&H!I
z<O~kZD{4dF66ZH3AZi2d^Y}6F?=MOJMWo%agkCi$JW@PcGdcz`*0C|cq?e#@Q7n9T
zW3R`fz~gila070xF9lMZC8?FmUdGm4s<5K|mu>?BZnRH00fcv1+t~lG_w#b^gV39~
zcr#GU0-thS3Xwfs3=NtR^SBHZ!Xw@`uU$Q$ya7Q?U{aI`nTI8lBA}2y{M`lY()oSC
zdDlE2c88#!%EBh8AlN$18ppA_6>ci#Xdr1#yw!q6FXru+nnr%~WqOL8eTs+ymQ^aM
z9?+tm_H{$WvA+Fz=4tx!UjY-RoI?kjY;Z9N+4fteT0iV8K1FMxOOEq&V3HG-kxx}3
zz&scspA!o&PuS=V8aaO^N@gMgU@>9g^<(e1)E~XNhN<=zV*LW39i#H=y>t5uLPAwl
zNnvpiemq)gJV%?R&boCZQm=MhE6p+#>p1Tt<->`*3Wtp9w2I@Q@R_;t@FXMNbmQeM
z7?r06>L?BC&k<65()sWw)#O-;T<ozbN;_B!)kms*X6mrA#FgpBA9l$|>Gah|hcSp|
za&CIFZkvKQG!SH^!C(EV=s{pT#tC(h;dCX@#pX~ig!4(D$njfLO#Bp@DX>=Zyj)<N
zki`A=`!@W`T(^Ul7{#HJlVh9Ywbeu~0t`JoMuQP%sHhY$^(5pw>7hcWfo%=4e1VFP
z;EmQ}STWB#mUgF=2Hx^ZyCWK%?bi=SPe|{Gmw)+>XF2C;laV5NE>g2q;49yw+F|iS
zNYzg)^<?w#jSbh{Eb_rKkALIKTmf>|tda9cw1PRkW__QpB?6R&@9bcW^6%8<?Zm_a
zsz1m(q}6SD1vUIIK>dNOi!KgJRprg&-7wG<!aTyYcCmlc$A10gnf}&m2DE~WJ&XYF
zUI(mr4l{3|3ZL{7GX0oAg-bR+e#%KVw2F@EzByK{%#wCKyE}@LiNvYg%7r$beFE7+
zi7ED=%R60|d!v1nSf8uH0XUKuu6yS+U*uZ)Qd9zi^pEt%IQ`zeAi&U`cO4bL`xW6<
zCtl-kfHvL%jmky1dyAeQ;T?1Ea@+qhoubHHSG&9zA)7(xeJ}4*Upj2uj=^?A9&h^|
zx6c1g4*Z_{FWT)lAfMr_%!WblH~xU&sf&*HeJ*0YtKh#2tnIG>HC9mOe+Pf{cYnXV
z6MtNr?T0sYeL4SQ1_63daEA&4>$yKRdH}A+cmskLTe|+N%H00g!i0c`2w*1Qdn@Gq
z4Ht5{)_QdH^K@Q|jri3SEE5F3ZC>}@mekTfsUawI3$ipUAXIp5e+{@<0a{psEoE+H
z9c~Miu!U7g9ELys=s7>kb^D@J`+BA+=+2dvO#Eh~qZ3BglIG1sQ^GL(K}_E!%008^
zU1qil_Oyj#?$WytMU+uW%=P?u=`ybTY9whu<jctL&Y@l;AKQ&`)fNZk8&h0ooFEfg
zNsB101b2Rg{jU;hT*9FjSp`j|VSx@eDY}r2j-D+JJ{%PxaaX2XI$Go`*m#dKR@m52
z$ATz~U!mz%XQa4D5Cp;XXAym??tGFW?ZwUKAFiFB41XNkTpQ3*0+CLOA>zwNR?kQ7
z+l<qlSeIvLY8@o%`Mz#r=Up5xc!q5WvV;8+EJjndz=ERyGnq-E!<BhGe&Ly}sHt%i
z0t8&`2wYgU{ASw7sApF%#$vRV3NL^ADN`m5!<0j;+_Q07O;+;<Q{LVfrUmx!Lj>~j
z;da`cPZw=-Ubgd6lHLX1LMJ3LbXWEVyGDglwZfthkr7f-eFOFQ6-#*3anU7+xi6Xo
zTv0Q0oF;J^_pjkt^4WV3K};G|nJ7Unlz|xPvLVEnbCHC)({|Psnu)PP;@wze9P-IY
zk4@4IVnfal^e|rC-cjNU<9n#B{Zoo_e8px3dW_Fjo4@WIZ_w;DnD&Uyl0$H%-V5Yh
zi&gkIZ&(!XtIaMuwL6<XI3wUawZc!Cac^egfYL}NbZLBiOD*VsVV=?D#qg^Zkc*1k
zVk$x6U5w=m7%uzsh}2|J%^pgCdTh6)E?b6HrO*6m2$cv`fW{%nGqkrb>B3SWp=lb_
zHqQpyqB}>4j}(hFR_mPac`xB~2v|n_Ck;Jt;(Xxm12vQij9zd?3x3z%{<F26-*)Nt
zd(3U~_2Zek*v;aPt)BO8+f=f1S65eXsgY&#FOY=xp8S39S;q$Go~HEMyp(?VQyRR7
z00Eq~_44r0bP74Cf8T(1aUOgmG63#CzYl>B1nv&A%`Sjft-z&3{l`G%0eV_r!%sT^
zF92SJoj4xwBT&3Q6NSGg9zhgUe4tc;z9<@Rifiws++<5x8vGa40#Crh5QXV0?@ye9
zz6dlAXT7$8p7J4<K`yT6VCMPtr7x&;BX0Qt#I<?gI3y2K<K!SwLo6*V8cRax;!3og
z96J1OElJ0~yCQdMdUU#;is)}rhhFNE)p=AirP#B5Uij+v#w%*q9XgHVb9nQJG_au}
z{VtM{?nk!b3PwhL6`0TA?()<b*!iQ;3BEd(oT1!Pv`^Jx#lbor{D#(P8M-eDeZ|-s
zT0Goq0yt`E3z|iZwzlDQ5<D6kry^06d0xnn`X`{G9)b`W&ci%6C~BrT6-vOoNgYf1
zPMP~ss<<gOmKUf7zywI$W98{UZ(1|Cly^&i$?wD=8KlBaqxg=Zd|+6R(aZkb+*@8I
zm<e^Hlm%G3kGE$V?N0hWo=2VOdIme%ufxVjmK3ygMO_rK13xM7u`qyWuL|UhE|VnB
zn^2PI-Y)`n8Tn$$w*|UhJ+qTEoJz7GrI)6yjXmI{H~5X-spLqGDxlO*=(l!=IAKp-
z!j`)`Pi%Sx^|bnWHIl4yD~5zX_jA#X#0c{eavq)d*^J9KQV9K}2QOc;$%>eERd`II
z91_`MQq*V|A8%~5R53)2flzkQA*}bQQ4_Ucc(+~BI$_keP;E+nb$U#ua@251(Nj5k
ztwy^s%G!I}R{>1{KQG~wEQxOQM~}Q**KP+(SB|{3<*nu*k8}R(m4T+NyBu@ZM=(CA
zzS#O%H`zFI;7LZklgAweiKr?RM;;Bxnq-AwASPHP+ILC|dR7Jf3jr!~;Z%zA@-nSz
zgAAKm6ES=0kjJUqPgFOIEOLn&xfKCpB9P)VtyH5I*{{&hiI~gVX%QhwY4)fj8OCj+
z#IxMKr>h?S{@e`!Fs**c5uRL68U<u_|MhGY-dem661s;6GM>4;398pK2F8VSrDy+s
zjsH6?{Cm6@WD5jI@Gv#-NMeEn_}Z_6uYc`Ew=csLRPZ^@C6DCwxX71Fcs^-Gt}7_&
z?1Y~J-6suGFOt0e!V`<(@SB~jEl9c%efjbqAZKpL!4vXe`Ik8NgI5z_FAzilUi&|V
z2t4i$o;@G<I24Ws=V!<vUqE!US;vei_DoBiFez3EQ^~6NF|*fw1nEBh5B{^mYVlNK
z(V%8FC%|}y4-M8Y&GRvos8#Zw`XW%*=6>4jxC5ew-&4J$*wGDqIO81|R^~~EX(FhT
zR*p}@_$<<hb2Q&COyuvk7oaFV*M{KA;>n3A2gpcBB(y!DLR2Jdo!FJGBP4C-PFvfv
zGo;rm3EpO;ef^1PnJa-wUpZvLhiwkSu)hejA)~#rWFC={s*rFuw6Pc1lQAaHH_Y&<
zIlK<|8t`R)UTa89G@Ht$43ok~AeM{p#;UE=Ma5P5nH}nV?_Q-EikeJ9To$5rUSoNH
z{b^5?10_)91O#+3P!4B#x!BN$K(sa`sB=F+^Z2cdpg}%9`~<%~{-my1`W`THEwc!h
z^Ds{omxjzFE8vF8YAW)N?_a^1LyF`+aEU52D^++`<-T(YJ)lS1U9iZ~ZqH`98sSwP
z=Asx^%+sW-cUJf~$Y${@1u6*1A&>aU=Ls>d!eg3+iE9$d+8O-=z?ug|<52r}E*ch_
zfeOoqLD!M2pLNXA5Ay!9MX2*^Pqf<FwVAKWSk%f40l9?yqlVjV(n8UP(PKJ72jNwG
z^l;hDs+Id$`-)j_u+L-*d{gJb0+Efl$Pf*V%<=K@!t%S?z`h@6Up4~2$9mvho2Vg-
zIDD6(p%GxLAYjZq_c>)saF!>RldRyU&cwX?JT&YPe6ytg%4`W=W)rX)S2CV_;%WN#
z3Npy+)C-GxifNL=Gbvk)$FHC?q*i2vq12y|f6H`ZBjO_9Vjv>!$Hd4O@t8|McUWm6
zI@$h40`cG|KqCLzy}7kx<bVAit9>Ny_kB#n?}w<5&0pY>`rl`n+}JAIj0Y-Ix9tAi
z!lSL>{oU#=oP-!~MJtGFQ_ov`{ry4X&=!na?ve<-THis@-8?*?^UIrme?T9frzg*(
zCR!*6qJam#r8?xmBX{3F{S$2ad)e*JvVQ+n`i9%UADq8CIO0ExaXe-~>*HTA^QkiX
zfHSKf)EW2xH0_4RgH=yT6#TUdou?1wQ&n%zU)@_%6Q~EiCL|nDuG7Hk*(_oStmGI*
zqZdJaU*Nk=aIJuep&_U&l3NsD;_)s+K=)tBy7Uh)zM_}6vC>M+EOp)FB$k(xTW&RI
zO$byi0<M)+t>!Q#I&C9d$0yKGnPf+5L<UdZ+wTvV>ngTkno0>!0oxL?D4GZbP28*E
zs>WlvbUh*aNYPZjg{)ND1~)b3pfa6WU_%EVE_+Msj_v-Bu`KQJd=P4xk37FwYs8R(
zsr>3Lt0_>VHFKj)V`^>4?4|UdR`Uw%Cu(4Bba2)*y>-Y*`pQP0djG`=g`WvPd)l#M
z8VL_|J6AdNNC~|K%b!Kfq0-P@+BPz~1v*i74+;>u)>v1k^LseY@(CM?b`eFYGErAX
zXmv_<^3~$mO`zSH7on^LsT}M;3nvB{AD1Q>I|u<mkiYLC%kB$xgaYKjfU5K`7Q(39
zhH5QA)!13mk*Ma6;$Tj-k2eUEC~pyh-#<hGSWBw-^QWV5YK2$;Nm!PdxGHpYbjZon
z`DGzIi4zG}U30-At0)ZNx;}A@_n2=fi~8EBcgV<x?YL+-U&@Mfvf8}YAM(giV^H^1
z(5?p0-&YeDaX@POtgbRzAy?Y-a)uQB2IPAw%Qev?Iip(5{w5wF0-ci%SbZ@j6ssA>
zz3?31b}j@y^|Rs4&D<+M(Aj#x->#Q7EoJ*0RYfGp3+5+AOB_E+j5Vmj?@(>i;rR{&
zJ<KyMRHK-ftQ}kBiG*wl$8%ZIZ9k*S6!wl)%lIRjqkq8w7Xw11T=-4qCL<9&$jZv<
z-#IYKt5sgZFCYw@0TU=Um)TwmsxLy|DegOHFMsXgy!rL@**||Ewej4KN%K6K$*;^$
z3;Y7Bc7o)8!FbDuP_%5M6wsyP)zRsXI~Rt8)*X+)vJl5wRcJO~`RUbDe^LL%z@MjN
zWwYGtXSeI?Mi%}}X&g!Pn5gtpjOerMxgsG`v*bPRE7eCtD?4>jUzi413kq~l4chTi
z_6z*sdnyq-6`bin@4_@tvyPWdmW9A`C?vylIr1BufM=?=(egtv&*Yv6{Wj188DrMR
zVPF+z7Pd7!QzU-+Elp_CJHe!Dddz;mdrip(3@EuL+V$<XA=?u9(Hcm$#G5DQ%Q{Ym
zQx7F_Mm&oJ{Jt_qSbRv;`Ms7Iqys}Ob#N88Wv1H31fS~lmu8;8^k1C_uyEMO8J`Kk
z0y3KbOL?2kxV-0jtEcRYif2vzAwUz9WsbfnrPEIU_uj$0^ntyBQYK4_?8oT3d6H6P
zOXERh{w3n7+9`5c8?7U|2jdZs(|`hn;0YDw+g1W42z93n65R`~?-^QBP~^BFGmF&J
zK$K9yBN!WVX{dgXWm;H66*e{Q5JsT}6ASGw6oTu73fbm=%>kB!CAUae0ymA!@=<j)
z^NP<`e^khn8l$P1#jmqynVbrb9meIX<iAiK9?b^=Y8{_h)f|^uV?)Dgy;?;Wb%{fc
zv1OGVA|5!`BXB7@S^U4pj!e|jTNp)-wkY6_pEXXo#;a~{>SOk~excmoLU<nA=1h!w
zS@foJ#c6hm5F-*KUpVuF^dgY0JEbkh%n<QW2j}WO7`XL*$_I2n-3;}LUkNS-;iE$l
zl6}+fGL*{UZ1xcW@D%{rF4ajqZ50A+M(K`kR&k19FpTi4Eq%L0>L($;DiyMg%%=ga
zu1D{|Qf4nG2ePC>`U#-YTL&ygq1RtfU;Wnxkm}JdfA1!e?|XK^%jSWqbOXNYDnA=U
z8sz-_f%A0Z{W-k<8jf%Qdo#d>|G<TLjeph~O_gw#SPO&2IWbr+7mv4zg~|C{b@Rm-
z!KPYpM8i#2w<jlrH9cKLEaI}_)3f!%_Gzf;u6=#(^m73m=l9WOMFeeFM6?=ePu@qr
zqwsWf4=Asc4>GVTn%rsBbSQN{K}QK&{Pq#uGEDWg5(XsnDDco)3iU0OqS15Nv~po-
z0eci$jCM$<Tq*anb7RM|7i*u_G|)NczGd_4u9}j3xOV)*ck@=0oFEmC*9(1pv9ls?
z7QRDxmHI(GvaoqddCky6QJB7M$gV*5CHAcnacy3UW_AR7sR+}ptpPy@5cPO_|FmR0
z$BLF_KB$r&rH<(euOg7BPSF(3r4apLLit@wwNZ5>I^DhG^MYWGwubNCaQz?3&JL~W
zJZ0yuwl?}qDl%?MR!7)(qMx75yIDkhmPBp)1_^G^osYPmii(lfw2N!Y`H@CB<j`IP
zual`}#&yq1GT8gw7`y|8cry5@S{X_V6V{e18{Ga`wUXQT9uhm;m7HUuR%IpY=$Bb*
zE&|^zCHGkfY@b2!r-NPGXJ$3`6S#e~j9PFl#T-hsswrq48-A$ACX%K^YB`7z`jEt@
z29BDyHLNG&W2U9xx27p?(W%R&IOKGhaKw{78P3Ye>P!&60F?d8iA!5b?aGOMOfj34
zv!kOU5MXnOi<4r3yh<4T>bZPIJyweHLPWflpG#Yp$&WTgCtB5yb%W>c5~C$(9Oy#?
z6@7nft~s`Ygmjxmr`v91T%x$aEDaVMK67W6S>5cT(Tck_;9~3T?d{A(JkE`0n4!x?
zJnL<<)*&V$5+8$!W^AAu@CgBuC5McU5u3u!fWAS+Q(o0g88;eOFTl;+eEh!izm3|C
z`RM-V!>QfNATZ#QU_^pp+llkd{UpLp8H5Vr+IO?O;o5Ts_>8{K;su<IflIY!H#PdE
z4Q_ArlGpx)rb`q_<nwG!MNaA62YZ}U-{+MrIR>y#EQl7c*eVWck2`@RW2YmML4rAV
zLE!E&I$?`_z);`25LIW^#q*exdZt+nHI)2@0CCr_I{x6%`@JY2ak`pA1Pe>BJf~Kx
zn$7s@{Z6dbI)x&Mav-(l&(T#3*XsmFS-;wrC6ZFIuJFJ=Ip38;XfkGxK#)5wvP<W!
z#<fH&V?Y6|RMCipQFpUjuTD;WzACJ2%^5rTt4taqB-DZw_`Kl@)TC@p99;vNLj6t_
z{opflAJs7H9-go{uq6cqK9G$W==Hkf95S#f+=}Alpw;-+J>}I*m*vrUURfp;BJ*iN
z62Vy+E$iT@Wf8NR`^aX)mGrOWwM3)dV*^5PPDQ~{b`_(_n?b`k6@(WObW(V|9_?*!
zTaol87d%6gX!)?dvPC~bMu>knXlrL(bDKvu6by$2^LR%LKtvHFWk9s9Pvg*%e7k94
zQwPN%Bvj=>hJBf$Q=#cXuy;^m+LI{$Sjfq~NR6NBU3{SPD=TYj?brAnF7OAnpgAcm
z{}2H=xn|GH#%cD@Ae3N@HibBhnA%E`ML<rAEB;3@;(f-%lVKgXp_Q@V963!sK%wvU
z1<Em%^SmGqxR|ILMIm+Gm~$2Ypoke8F{j6ynFt$0L-Z+NOaeJ2AdRQ6aF!kG`bUw|
zQQViNWe3)J4QABPGOPIjzbf`zrGvMyFWTy&rvV-m<m1?xZzV?XlnD%spInU!7NT*)
zN&HBC*NDqKCSWw=LcB(QDCBCwkqJ~+Y+#zPvLH+TOo~n$AytCjR@_#t!!}mm1&XS{
zq*SjP@!zsdgm1~!)W2uWf2$Gq6=pa!_7QjdL~n3bS)ib#G}Wz*rE0NAS&rXLDcVU*
zF%aqpsLSN~I6DV%HUfVQFB3IWfB!UZ`IhT5@nAs$tC!6$Mw*+O;Y1pZvRNhmIN)3N
z*-;=JE@-hx5+QZD$+XpJ{-5e(2+16a>y}ZuqGK2nnSoxH!Dvc)fGrn8ws1+1N%?-k
zKaIwIN7~GkyCdLmwUZPQih5dh>j(=U>u0OU&dO?Hb4tGs(*oEXBy>!CY<2ac!r|Qi
zOau@a%``(+@+gnX!xf%?l?s@QuQZg(f8^k&>pZ+Aq#pZ*)s%J-+$HcDeq(8%IIi;+
zvCz@~e=WeIL_YOiY#r(jy-*dhiW)i{!_Y_1e<=1*Wofh}Fa?@06_m46Yy5DA6zXJ$
z9A=4#4n-IZf`p-u-iUK(7fl+HyWscMM&8H%R|+dN4y?4iGPzJednA0!y}<7I4^cdf
zLP!78;2@;v-8o4#)sh923|c0WZ<(^Bi_UtP>Oa&n#ITCqrrB5CN*FpizXCwqi0(1~
zcYsqvt@7)kry{IOv&`fL_PSn6nox$aWf(qnDdI1x4AD|OwOp?z9m$m^s&9>kFbL@U
zdfNw3R?HBc%2Nda@~~5krc%$Svq$#~Lz?!QghXouWViA2`;?>m@{9qbq08h}6hyeF
zVQG(OdVFT2{s@~!hlG(@8Hp61V?W4ojH3hhe1MHdcYDcKWSAfcsuc6|>ebIYWAfOx
z90Vi5U;7wVz=qhe9mgxAJGMF;kAp~OhzX5}Sni-*jI!gN00MMS1G0?&f!G*GN)_{t
zD1-m~{R6p(0@8Z64QuUQk|j;sc+8`9r^Xx6StQN_q+~>TBsp^hDHmM_N5?>Afx|8(
z0b8-JpP_h=8M=P~AY&UKc4L>)3{Q_N3&WD0Z17&I(t^^Q-pesoFZP2GPhmWWK?Z|Y
zBt5kpei$8YaV*3}j8tD)JWHBw_g6dliAV7EyOJvNDsBx;OT17-9itpVlEor~Yu2%j
z%Di05sq&GBd2Awe3426}0bkod;rQ2hfC2$Mw6oWHv9W9f?Z6C2W@<v_At?jU+btp!
z?NPZ{lM#AF9r_m789#S*mubxlpy-a8WO|aHPa*qJNFTz?EvQ)xL9WVH4CP)I(?hZ(
zwxMCfO)*D4I@D<dyJ{F2#CZez`eu<)U$X!)%t!+fB2Jw2mY0t)F0l(l=VkPjJJf`E
zq@jDzOF^En+1$ra<o?d{Mc@)C%$C=$)$ugdcbbN<%_x^^0Y>@C5H)=0(<cQOy(+|>
z>SINa+{q1~x~CHZB5;BCMTCR-08Ze&uEaUev`3IAL#YzP3Ht?%vJUPH`T=)^UTTeg
zCq1vu9u;z)PNRnL#M6wV^AJAgR*o^0hOr=)K_fWPi4fD!QLn-}wQv<!Mv&hQ+nO+c
z#ZVg@y^_M?vekQ6HrH=*3@RtLj`HrLXQ76?R8D+kiDUf(>b`!nT}R)1x5Z~~-*oDy
zb>rR$_Z~Evqi4y+Z1B_))8stA`8Z~|>HrHs_CSNk-IhIjc`h!y61Tv1Lv(&gA@
zErC^PGX_=`KyhE!5=lWFaw>QaEma`M+edjweFo=;pD@ta9yr=vP(R9lBv9}dd)Ami
zG|7XG7ouK72;s8IuT}1-Au~c0v6X@uCx9$Na=eIbgpiPsf+I0qVQGr6PvY+M-)Mc2
zr!EYxG?E?Ov>vTisOAbhCQ*`IbT<q$5d6u8TKc`%n%p@2jw@vbn3_ECknRZO1ffMc
zhy*g5qSj~Wzqaa4(}_}=X$pExdZJkRO{hX1u`%xr<$A*Y%b1-15IHkuG*;_I;TIz+
zZz{IJEk+4Xf4x!rgGwDoyZ=1zdm}_blW^RFX)huG`8QV<YLe1URM(cJk|t#ZJt2Ce
zzy{6Gtf|Tc1O5GOr+GT}9tSNXP8IKPQQA{^ih74SipA0dH^N;oPpz_b?UeY0#H#mA
znXqS<NvTI&-pf&l9Y6EFVF8Iih>is}W~8*(IJ_*z>&?EdZvDY?qb0`qmeVL$hwd%}
ziwn|8&7W+G%YMR6aOlbQOWe~P+Qk9s3^rDBbDxmk;l_fHTB$BLCUg;Zsyvrq#&=0(
z|D0770W%FNS^*8H-w;^_2^}K>l+6VoT)6C1SIK3V9!aB2ZZ3jdI=W})=SO*Hv8d$2
zUI;lA;AXVI$3D52pC6{TnfO;2S@PT2*^*D68FRyx30j&75Ey<CC0C3}{;;UmOcJvZ
z`_1wbk`-GNCE~96b(0-Ph5PqGr}DfZw#6o^fj)|yf9bQ;boWj`2NOTmmQqC}E^z*(
z(8p?#mAyPgdub(*Yx;w{iR4gc`wm4Cn?)a2uw@Ti)(m`|>F@z()tQKAsp2HSEVt<s
zsao<OV!r81O|3<^bj(9LruK6GrCv-4kkH{{M+0tCmXig6zEpvJerv057PE1^&0*ot
zwt4tP2yF@zaXd&d)1M#`_4`2qF%cu4vwaD=Mm_c-jsn0pqAVbTU#iqWf&dsw>+0$>
z=J0>xHdT)LKP}N|qeb_upFN+Shjn)6&9mm#`$3Ycc~=d(B+8V^_PT$FZ)V7rYDQ=*
zrSi}c<HgIB=6T6C_E3mEC%ll5R?uFrtD%&^T?*U&ety2~tfZ+_?4I$_M3WF`w38S{
zO5Q39-8O&Y!V@G4p;PrnLH@3sq^#jgi~FrVw)VB2j3xyIg^5Jf_s69VhHv>KVlW_G
zu}$<(u&_3%y||O*(0~Q3f$Hr7pG!zc-ySQsVLJVIWSZR~0y2RVKdf1S5MtBIfX8&W
ziWK{}NuWE-rNV#)*_il^6Fm$qCQcX3f_73vt96uCY!>*$#&QIQnx;xXtbIOs6!p(1
z!STp72K6suA8eB9ln<3Nn55T?wlKyrY%XT!T%J7P7bwJt9u6`YNLH&vLq$C#om?pz
zD&cX9#O32|oZMosE6;vPE8f3o7e+k;YP?9pRk9|!jsk*gsn81eF?P&P@k;n|C*}iN
zv@mAkpph=Md)+98LQWg8GL~QKD;<pV^;ZOrjvrq)8(`rxSQ~<{z@Cx^8bvLE+<aC-
zZ^=3XVt)?11S`Z)TsfLaYv@`rG?CGIqbL-42IadpE#hE?o!o^eqzGy;v!k??<whH(
zT-DmTz^A%>$33>|?*CFy1HMFTw_Aq$RzT<zyqiz{S%`OV@bBz~fSoWj$WF(G>&EWl
z`YC$}6Np>=a%$MNCPJH{Adri~^gXg>M<%ur0y)ZyZQvB36@pFMHuA5vgD8@1MUnPN
zb>>C%fQo4Y(D!tDx|z>^O7)hyY~dLHCC@A2CB_pB1l0v+Lszn8vJ+m-ku)zRQNrJI
zK#P#k<_j{yU+n4?LP8DLmXY0`dQG!PZrYC6B|!P4bEK7c2{90|gwr$P?P}a*G7dt%
zkTVlv0Aw+J@*t|DvjG!ABO5zvdF=fl_v;tiq>-6f!^(-IXAe`{vA1yMq?q<nC{r9I
zC1t?aVZ5C-j9x1L{<G&6e@qtrcUp!KquQ%)p)ZgILz|m+j9$0?aL`Rwyqi0t$44tU
znD)u@8#XOT`aH@O3;r@s&55Mg>|p{ctBn8ymUIjkBB7m@#mP<G2nZdAhx|ds6eVV)
z4-6VT{Gz%3PT=_LEK!D*m$$g)D>R*XiUM7eN-3-nibeQ0_u|}EJH-PzlZWgUb&M2|
zD|V;DTdK)1H&%H$D3mj{n>aJq$2r^awIU7Tr~zXc;zvP$@bT;W0Zra@WMt&Qfz24H
z(;@;yFeXnHEm~Ma1Z=iGwxN|;)pD<1c?C=?^KG>g^+htJi|KcmP8l$#@>+3cw?c1(
zK2Xp-hlY*N2R*bZq9Z^McdQT}dHA((BmSfYEdF=i<Wc^O0RV{GYY>+RSe<_G83bPX
z3KM7;8bg4g3ndgTz+T}W5^!1H<N{pPem94NDW^d27vv-aZV6Es5o}^#chhS&;-s6l
zl(y6uNdip0+Bj3+XCf|dLz9xQH#&^nPo*yN;zID4WIgEU-IEqKcjvyC>FU}T_LnS?
zAv>J(FVbX7X0+QFa;Wtb$cxR=S|nRJEMYK{47XaG-hQlKyYWIvSm>cAef^a>!Z}T1
zTO)3C@8{39ZMLYb5(ovvTd0zRM5+8Q+*Yu@jV4U#1WjL_g=l4eqBzxyNUG8&^JFBK
zG9rPc{*p=4v)=cjZFeu(9q(Pdu(vxB7%l_(`4s`ZErIhFidt<%Q_RuC>5lyg-OmF>
zggdM}H#)#RA*HrPY>DbuT7_TC|16eRi-Mkcgfl*bBEH)CDg*lRIeu)Z{5v%@HR35V
z_b1sKaVK$5lVm0+axi3v;{LbgaoBkCbQ8T|Q1%7`^z9RKIvEt&oWRZ{|Mk=;P39F8
z@x<fy<l<<ruAQJM2%$_@z~4<6Q&K{L$>n8Pns5@Yh=_5u&VJ-tvIA4WI661s5~Gxh
zMS<6h(16;~9|N|EnwnXrc!%d!D!9W-JZMcHQUYn$5-NYoIIb@G&{9KiNA&1(7LAkW
z1Jaa!j8Y*`(D34;C}MQ!#m0OHa}mmgZxa>M{Wj64zu^`XxEdG)x56<qc=-~r0QwAh
zn64E1@5O>R8)bmBtq2~y2W4bq)nHkiN(1Rh!R*m>O0Pps0(ZiwyWr;9T32gDPXulf
z?m=kdPj%)GP46$?J0a5WadByYmIIiz+4>{ClveD>0nHt|0t|@f$WHtxVt*<L%i#j(
zwpgQejW5_416>!N2LlCC`1Nh=a<z&OPnCHCpg8$&@F%Rb7TQ8wXSb=r%m);7Mj<Q+
zdc-XFooQbyv}>h$4P_P}@<|i{74G)J`OAFu8I#!+ip&fZ4!SJ)f$SryYsTy;c{Fya
zX+$BEbW@9IilaJgzM~gC@Cac%DFM54Wf&h1PYc^*l*N8HDgq=q7ivPjq4}_%2eNFU
zjJ(L$-wkf^95YY$JzpxR`{6$K98X$7gMR%o#aW<dcwpxXkimk=#IMUM{FTUg=$k`>
zrrb7OEgwbDES}OdWkE8(Q|p~^?LWWmBnsvuTS8z{5tM>Z|MLDyC~sb4A+JZ+m(H?(
zX74OLhl}JLm=xY@V;E)OEZ`?}1W3b>kS!02$(D<~U<EfH;%iN%@SaE-9mNXni|6iA
z3bZMmRI&029_s3|Z_jf{D)MCJ6CDESiGPN@Xcx>V<5+RTE5WoZt9-w<$dW|aqB_;7
z9#hU#V}&Hays?XEnf1WV?`%P#yVQZO4YmlUJyQ@O_@CJxUQY)&fT1l)p?ozU2f-xa
z06N0c<tz{xqOGkByc(SUsROf<OlIvL!@wl_mioV}F91scs0{oj4(h9;y}iA|j2hrY
zgNrD9?Q&e!+qx{gec&Gm5YR;zEVf))!bJQbs%R{``G643I*ta)aOYJ(FU16s?iL(Y
ze8L^4&QALL{QQiUG07&?bNGt!jA=HHszwM?H53zXKCvTC*?!2QyqQKt)xPuz3y+{x
zAyHvaZdPw@JRz8~ZyOl+7f>bPvHJm~{XvJUCcLRF#UIeagf%mry_);?!H(|k7ukQi
znBvGQKtk!>iCvq5f^N@KtB^bot@q7Jnov59lEW5)uFbj{9hP#fi59k*fX@r!%@clf
zit`s2O%|l}&db-L2_8&@z#F;Yt<Y}7KJG#2&eN79krDGpcisl$DFM%ph!2fCitbQ<
zg~Lh>MS%82$iJV*3tGo2_zA8bwZHRjBS<{SF@woZ65cDQG-23sU{q$|7q$)y6TQ_t
z3KE+27B+n<vf9fv9mX5+NBI@8{0@z^gU9~koGqmcp6RkT-H*peOznpXCE8&wpoPzw
ze(tn*Ah(skNLxU{*?>M>!5UXWZxO+DbgVQ%B*R(2XID|1J>{c^C0jZ-G&E!*>2A7`
zlk1Vn{3)w(G}a-a+Rai@kn1_7l)Aclv4(-H{nM}Zr5wUZ=j-)ZwsMvkWLH)m=wHd?
zu6`B!T6Gv>nyw)2lIrT-)j#&A=GJ-v{Bq^w=C1chY$ZEw(KbAPMe^qE?&bY{DySWb
zhOeECj=uXerZ~71^*0b3*uD!ngRc#$hBscH*VcsANICq~$^<xzD*3;$MDTDB6Uwg5
zqW(sO(VNzyrc*<KwY;`w-Jb80dvm=$(hCXBr0R51kEin2zKbu&(e)I2CO5rA)!6Wd
zOH6zzUro~^Z?F|O4mAVMR9ILTc}vruIG2s?hViZ!gP9O9RSVWn#*|gxddf^VaImnP
z$8S4VwTrG~Y*V=@P;ds3LWzkG%&+grBgQc!-)fsml6O0W{<ImGd*clb?yq~4tYhFk
zXUbDW@4%EIa=>q*>EGcQl42Paoa&3J3{bK}3-TT_*zs6Zu64Gs7`pBy{PvX#X^?q{
zJ(*OVjNQlI(u|@ZB?)yAk6IG9Ih^`MG1I5P!9l8^3PhJo!<G7aHj$FL9NRKI1Y|5+
z1$+XT2wV@-X9RVl?{%V-^AIGcE53ERf(l9#lb=U+bkh~K-}~t`C1aLrOOAvc6*^QT
zz{MRo6tXuRRU8GjhnBjNSF-f@PoF&l3CgwtCy(MZ^!6^K_J{Jcc&ZCrV{`U8xDmRN
z_H69#D+iD~T)I?(Ct~7U3NqYei5=xzZbT+4`Gtj?#PL71&cS_>H(SNc?VNr0tJ8ul
z@7?yBf8ded0`A6EtY4t`Y<u$P`mrqJu)*C_>N%*f1;v>kDnSn*aHlhZUF0TE3_lhN
z2WQ~BZet+FpG0snwW@-#@%#6h`Z3$j=6akC1(KoJGR%=$J`9I9?<gq90<qEFfIHmz
zxu2>2iqAl4I4-bZ+OX4@Lo{xP-tES`Qr+;%>(0_1WZ89HU9qv{K%Dc~3)RYHE^z$7
zJ<N4$VD$SCY}XL#PvlTj$!8)%C$&|>9;RcfzNZ@s^lxz;H5kTK@Lsw|%ml1y)4XUF
zdgbim;$mYH*^ZIZLxre~ID1eMDczmM%9$q(1%s;TQOHR^!MGw(WnD6AKfzCZ%&_!Q
zC(X~YKbDfm+W(%RRS6w|CM=`+@7*(`(oi5dY-nicn@DQVVcC7K#xZ`<%Z|*Q*on=^
zfzR7JUp7$#d!GGQg9)e)K{|Aszvyf2f)Le(v9YlkUcGufpFZ8=?}|D~PzWX>F*52-
zElY8l$uj<18e|A4xtf|HjnZsf=~I#|!?G&V*ly3BcZ|w?GIUc#9oUlav@{JP0uuVI
z3o<C^Tz2q^QPS97b)n()^v;esM<(m-&u`sSSr7R&Wbvainpn}pE(;+q2ZdI^Rk;y3
zNgn%|;x7F~)0JFa3u6rn`u)gz$;&RN_OTh=T|X_Dwk}NxIFFs3PctsUU(Q-27-k%F
zyC#3~6D#L)X()uBC<ANSt2Vxpu{sNFJ;1ot0KWV!25-2RayYIqz!n`Ma;7U<`Fetn
zJ9E``6dndYvTJV#i7CL+dKYc8aa*jPF{izz)a-kno~5a1gqbBmK?6}qQ3yrvR~*z)
z9JW-9PR+CCB$-);O&rA{%#s3tC{haH_=KIJkyhJ^A5on*Nah0a`PQYlXu&vJeTqc=
zmbE*9GpdQSh@W%5q=a6P9NjW)esol}D_9`xr+7d8Wjt*>M|y@!De4@E<h18&;4Plw
zN+3>;F^=VuE*939rNyIUW#@r`hHFy&eS5y{Y4uA{HxSil)@YnglmJ2Ck_f~DhXOd8
zsmk00lL!v^-cBXbK|N6JF;F2)UR%irU%q?^nYW;!z#h1W<jl*<Ga-n;kdxyh7V!R%
z#SXRQ+44T+yKoomWe^#pkGR1BG@3;KUQmJUx2iP=ase3!JuhPE=AF=3oQqL0lt}h4
z2g?ddp#t@QM11~oBnnh-N5+3=*pbV<9UQ8`VR(2%A;kotj<A-6l@%8k_xFoKE<)aT
zdd?SSCuJz--?S(&L)=64=sU)$l0IY6fSIa`p^T&OJ($?Es@qb;5Fl|Sr`h4{)7N1~
zrr9>R0xqshZ>d2}xn*#$sQ1svZ-X=fd~##YyXBt4Q`^weZ)aKgRJ935t@qwiI)R0!
z>xyqKj*BD@N#)AIFCp!m!rHzQQ~NLyuKcIA@R~1odSYS%+<@E;R$3Y#6Y7h8C<Zqr
z71)jkQhP$AKHg3jCnY5*&|BKQQ#XzkGB)<0#q|Bzn_cDK@;M~f-QAt;i*B_J#dyjP
z<(^mA%?zns8v4{z>uVN4vr;gKHrQoHS&&BIHLrAkyOPX04iA3uiu|^+=a|P<O_R*N
zdP_9O|8aC4lvR~?@tU~^9oOIVXrtwUPhKHENsdBO0|Nsiqwaz=an`VY;kS0D3~IP&
ztL;124WYPX&z`*u{>An5<tABSmG5m@&*P~z+5A(+d?J1q<=`o)PALGDj~>~!*@`vy
zlTCA0Dn~Yq-WNm~T9S3pKkmj*V(>=D%*sL%k`w=auPEV>u#~q88u(%xUUY1JyfRS3
zKGjnY?IL2tCWCphdmwA!dieYP8q_)e3>na2=~_tLb?mA&BIGm-g;H0%=ut*#H(Jij
z1gm!GW$pAd?XL_FT#MPdaC472-F1Ap>Fs0T8*sJx`*(1k+4j~us|3I_zIxmON?dPY
z_DN5$p#w2&p-HE^#iWg7Yc62-wJX*7KuP&WYo53g3bDYS@Cda7D`JdD_#qDx(&I|N
zbQlcEX#^7LYvjn=jOqbRc?bBT6a{+xSRg$A4R2NUHr?*rfftnHNrC?|#C>lB-8&Xu
zf@~bMKC{`;^<@$qOY%^$%Mk){dAQhBJ$R1*Ts?x^+#1;?t98D^Qykz96FW-B!lv`U
zunvHU>7mgqg1cY_OPI1^{WXMrqk%(JF4RC!34s?oR59y>M=(@E1}jVbDN^Vl$KLO!
z^`%Ex|4D}NFzg6MVp(j5*(~0V1~)TXXGDsd;~tUR3ENPiA+MzI$8l4UkpWtRLGtsT
zc$W!0saXHs(o!q03lJ?3eUhqZHk9|UxJ|)}5SnJdWny#fYmG*TfztJwh9;-Pfd_#A
zF+w5Xl70nmvhkOt^o(Qi=Ou!&7wUrUOxF3M2m+j8<3e0xEqVHiw#_pn#P0I)<B5}*
za?se4kI6fpnuzCDm~6=i)PxvYMd+tk5kOZrY1>+_H%Ur<Evk--JnoS*vHvjDcGSiF
z9X;<6`XW|?c%(ZcSwCanF|wTu`-sBA7>0MFJ9%niYJ?X}$!;NQrN>0uh0Qg_(G|f&
zbKpO(R6!62Q=oVKQL|yfSm6L#-6va^$|V`3c(OOwhIMO~KoU+Y_uZy@DRHCjUV6*^
zD#fmxsF|m8pH3Dbasu~}=v)<gW*-V|MMGc``e%?I6^(sq{1zPG&H}90ym)Hd1N$Ro
zi_)EfFOVR`8ussB=dn*dz?}~Om?DILpM&Rin{)z`9ZoO^0r}nd@1YSy>sd|S05u2B
zHb`JXl6doGz-7a3CNJPTXuGGs|1W5)5B{11kP;xN3$d}0)l4H`RLiQkhf7xBIXI0>
zcmpjho*<e=MP1!00f5lR5b*0lKHnEXZpbg7?t9rOD=#nq?;9{zY;6DSupn&=+By-q
zBEX>%^{@BpS-vsLhv$}otUm)L!tXzRhzI_(7cT_9rSWIr3tUYLuM2N*sLK7|^Yj9g
zY3@cp`#Z|{y1Ao+nCZ^!vITS*2d!K)gMrqewQ(n}r$L#S2zl3Vd!z(@%TH4(mnxR%
z%VB=b;HsS@)%Nu5Hq>N|32PAL$J%Mh;eDd%@N|?{e|I-VWNV)mD~BKif^lnNe9OXZ
zWE$42J5O}LK4nNrd&1;2GLB;wWa$nHO00P#>m4*={JUa|%$p~tJVP?Qu=~Tq=pfjG
z5cE1!$HJiM`kfg)N7AU60Hb07`dmHT(Siu3u^6Nz_f*e|#i`Z~mdzq?&@U}@8k3q|
z<KG2uS0*4rekGyGNu@Zb<`t-^si>U#&&<YEIN0i%dGY>X8aU7)pcTM~E$KA0G5?1f
zgW~LqN`w(fJ63)?0rS5sw#r-isyN%CGaIiriForAf_A|$p(72IXjWO{+0w{jRcdzQ
zGHS#xjO$Q@a?{Rv(r$g)Uv&00H#d*xGRrlF&fEjVSh<!*C1XfLaD<@LVAuS{_V)Hb
z_*Jq|y)DO7m`!woUPV&|8%g-rm{ys37URS3gW&o_B%8wZT<c$4I8#zMq(ede{Td^(
z%kxRhR=mTnl}Ajmc@q-x*Sr(fpg1!~U;GEidgO%L5dfnFECz3aCX~$(Aq7VvAjJF;
zWFq;@irs;Q<mN%$4_AhQMfe!29!yJt?KJ~85x~1>?!deYcMc?8jlo?)KtB(cQxDwK
zyP>?epGakdBPa!;0asV(y}-s(SWqAi#vN%KF+NdIEO>$mJPQPr$pI+F@AbdOZM0Be
z{2^-eA7y<F_EWMb5AZrvU;~YFTASHy@afY(g6E0BjeI~3;zCDx4v(@FyW6}5OYjm7
z>s`-?ynnf<YH`$<f%Yu;0={4RiIJB9#>wTDJ#8M~EwxJmdu=fK@`Yn|d>P|GQahff
z0Ka|dB65S>p>fB6frv!d`_-q;P)Y^D;t{l@?3Q8>qy`$e#AX*_yygPYV&qEsxBXP8
z7d8I`qTF#va30i!5!hZ`><kVjwWc(F!PJ1!<63VIZ?@vO<26rjTVrAl-rwl(`4@}}
zW#VC0)68@sDGt|>UE~r%nCYu(y8n;`E$|6Nle#JGbb+5i+NK#q`ZLhhqxU=?=s!TS
z_n6HP7B;rHW;G#e$Hza|W*;)s5XnV(qEUbT`sMy=`^m#MQ^w3mha5e{=TC;AI{3=v
z_-S!1E|VSU&dZ@lNI%T?xDF>;%BxDw6&vUR%ogqWhf|CyhDl@*Aqlh*TVcgbHQ?!Q
zs^{}nZtdvM<H-Dz%`6cENj6HPD+<lY615?fmX_}8>s#R~a@pXZehzK<O3!NSwZpJ7
zS7Y-gU=B39K?=ChFvYH`<?Dx-{$C3q@FI86kj*`*QOAPb>k!g46Ws8mqOx)T1a1M`
zOP(sgnog7>ZZ8BZp~I<ckR08EBYH6y4OGI@|Mme~{|MAT<iB4?eS=pzyy(A7{6Ctm
z0;sC4T^~vgAp(*TQX<_AA|QDPX`~wg>Fx&U?(UTC?k*|mE=i?7(!2O)E;G)kW6oK7
zulIctRKWdv{y@Qt%L($|v%nsRHAQ3d!3S;AE9Us{-`O*q_pEJ8M0vObtJYMMR{-m?
zN{$rtI<oNb-EH{40zF|{&)CkS*LCf4n(4CEMD2tn@=-e<XlPw#%IbYSQO`sAD5$lz
z|K;Ni@ZvR4y^c(N1J-A7*E(s20Vq(Q(N^2p%4$N}3!5@nFAHK%;3PEG`W>_{&he*{
z2PmsJV$CZUrCd_G3?mopN>C1&ZW-wi|E)?5a`Szsp&V~~%e(Fm2n?F^h+!tfu`^yI
z3QTg+s79!*w%Vmf-=j)S)?kaVI_b%u&IywxHFCT##z16^Uv|X7p;>rl`#u_941@K;
z!CyDgM%S&4Wuyoq^VJhArOrLG>`8ZWrL%2RRy#ym|J*~!Z0B!i_t9^!O^W={@!$r=
zHA<AhV9rew^#QOAk&$w;XLE1p&SenMH^#(EBR;u#2&9c)UtX>RPqquwgw|la{>GIC
z(zmJ=eKGwYex5w=(H>C*9U;;0r5b41g&>&oY4BHSd@YQe41)$SlA<be4t%RjWG!>H
z!~nN<!7qgPa37Knh91fu-$#;hg(vEir#q*smd(x2H_8rD?58WjuzJ!<g1p4&wHn5<
z146O3Pz{C(lK#;o#}c>6R@nPmS|JM057TS>f%y33Nq^j!p9C+EKHg67tTTVM>fFzC
z?|8Nt{{8-O#o%Yh^98izf!PAwQWIGpKl1Yv5#NGHA!~?BFVR|6fzURvh!}!o7QugY
z9%UO_{D0c)Jv=-vfDJh6ACU1p7wkSg2jJenc=+GJ@KhxpbOndN3wWo1c9X2^ooVpJ
zb2w4zKr`*}PoIC_McL2$=k)XmL~J!bRu(<KYpk^K@bOo7-*a}KB!)*Y-Eh55gcWJn
zfOYzWPAmkPBT2Po7*#g>0>&Zpvg*624dEWN*+9m?1UD95CE#>>`Pj)zx|bj?9#``T
z`&Dz&nkc+q9q~wj>@myncZ!T{@Gt^EA?T3tTPk&^f$UiSBgLj83e(bGK`3MXT)>aK
ze8W3~+C^_Mgf)(Fpz1cS#}o<81)LS5x`!VbrU<bY>!t{1z&O9xNX)lTKQfDt^L){o
zdBO6qZfDUxZ~I!CztLTA$~!;jlnTE505D?eKMD|docBp(ZgJ5xZ?06gM%+kU@aKG^
zCQ2@MpkfKtt{V1LDoNx*a#JYXA|8AICPg}0=FvzE<)}E%7HW?MgOzx0TV5G`3NaDU
zH|J2d3Gg0nJCG6zo<ABE=TxucOJ0B)&d6{Ok=N^(Sd9M!q2zoSq)X!Nvt62lyb!X!
z%IrTwa4hhBO*Em<95(?hI{cj?df^5N1<lxg<<iwsS8wciQ|))3{OlLXlkN{@is1B|
zoUWfC-9)8+11yNDs%iuAN017VNa<T<OG&F|XNS#HCWj0OKLbfGcnDtR=BSX0FJ+Fv
zbq!`60Rqc3fuj|ts<pBUpacK!Ib0c3uIv_7C^a})FXX_z{r%r6a6nidwS&)l(vo<P
z6+Lg!0#uaooZlIHUZ81oKV`2ZGi8=!gP*>pGx@@oVO5W@-IJ2Mk*YtwyI|xeiz1wE
zcPxJ2yJ=IHXBgJE<WyzJpEY^ZB1fA*MH?gO;N)~_kMCoa%BaiY`A&vN!760sTDZ!_
zDC7MbzuA(zSo%VKzU%B)>OU2&+EX+)EB2Y_yrhM~DJ?c6r4G3hDoBS}k}(5Rxq5lC
zQd8-0P*;irRw*FL`4)m%-~|BeSW8vAei&<W0zY_jtX#_y|D+OaL6+ky(SirJzvURM
zhV1x7V{Abn#9)`)4vL0M^!_TPe3z7%*t7X}?ufqvS$0O}uOEI>#j<%l&pw!OJ5lCO
ze8@2Jcp9K9QYNqzt(y@Fn@B8^E~ug3KIgPLKaSle{YGma%<1{nRWQxmkZdol@K`Jt
z`tbN{@s)shw1oizVhLN4t^3d%r2wMz*2r25b>NEb@<o``@FofoWw8m3rnhvwv_TA~
z)WswuPc6JfenqrDu|qgHOHY1iIKeA2XZj<4?8})l7wPAs8E%UMOQ%SNQ7HLaOys5q
z?s;Uy-|DcIhR^an9(R`qT{Z2*GaQY?%>tS`xr3Xr$Xr#4_RTB1dD>nqP*vTtt*&bf
zrUmLrzDANCH*`NLE7w7cZ@KExbI$?rlx2a9Ts%)fWC-}+{{H>DTY2v}gz@sf4Y8{&
z{7x6O_cQ-v9-*M-Mpe~MEj1<!+e6#eZpN81X2^t*1M7mvmM*<fqrB{R6EsxNC6so>
zh;Lei^U#X$lBLC@GT#qRnR4(62zZopLH0dBzM-pYialw?XLz4i@}W`8|4U9eS*8Kq
z8~~d~te?>(xtb_>$PHWFoMt024>=&rRB6FDP2o(26{OPdugVYdVMmXNp1P8;i6*BW
zgGLIYNsXyd%MJFg6QHL~^3enSP@w|BW~N+u)us3ML;ZFe0A^Nf`hc)peEZ8g?@-Eg
zEObJ4hz$X4lX=F7$j#Zyn9P&taTCyUXpz5T>&!g{53$h;caxk|sH1aK%5|tpXk#XH
zGjrtJb6ty|2Yjhitdmob?Sy~og?85TmCae$p4Lp-xak<G#D%B-u%d9a40^JZ9eYN-
zA|V06;e^rFnG0V=#|XBAHUMlR0Vhf&HO;|DjPYmHVCfiVfS^Cw29Nb6hMpmO1yPO6
zMmQY2cwT*JrexVw>9@K|2PYj&;=yLO15xTY^^@PTNqAS1vkArru{AFMi6A-`O$sny
z0PLm6$g!DZer&`HfpvT*yr2ppKgK|Rw|xd~d(YD>&o%5zS{jNS3W|#&P7b&L3o4@*
zLC$4@OjRxb&HemuPWN%H0=<dVBuBpKVRjeUKfaD$r>&!-!?yc$!m{z#J(xNgG|K1O
z_Bg@t@~`doKSnI~SKt-$k&W$qC+;)Xn~2qn=SySh`1SwF0t#-Guya#EC%Rk1yL+T8
z*OxHE>V-Y+Ru~P=M2ni8m~~-UnRMbVJo!r)QD7|u(u@)=?@S#xy6aT+J}o0d8>nOF
zC*Heq`f9-6SWqREwfIu*d;9}^vG=u!9r83yS66k7Yn#lFA{$x_a!Ti+tjs?11XQ+t
z_d>Wr8d&}}8ODsBsVZTl7m^TCyoY@GsMoDKfg5b^+CaF7dHtKpEJ9;;atA4_RJ9g;
z&!sDAmE@EuE^I6@1!4k%FFj3%u0Y`eXFK5w@3$gqbC_z!gemgu{XA&drE`vsJ)bwW
za{IzkrHac>gKZ}dyD*1y9zc?y$z<HltNvo~Zy_SQ8djiKHb*?Tnf_Yje;SR|_r~ox
z^2Hc>Qg*Y>tzk#E7T*irsm`*zzzA=SogH!#S1K`-h|=+NKfHee>Yj?Dr$AbaE<(ff
zN_2FyR4(ucp_R<ER)9-|8|Mk!hmrTit0KX<LvSv6Ol*g6TTsOH-tappLIM00oI51l
zCbL`(&hYzmE?GeDX4wjEXf8TBx`1&i-$2-7?+0o7*lolf7v-0nTT+xW<WZ5xFDu?t
zQ=bnT<;YiAq_GA)^SYkkbI{gKYMeH$_5OW)%pqIL!`;gh%iEuhAVNw;gcT%DgR@lr
zD;89Xf#I_Au{P_`LQNbETDl0DaXWW;3@zN;+(x^B4GO~Jeto>Vjfl)WKcL$=YUVso
z!~iPStk><HqZDo{!aI?V|KgrUI=5{PgLFh-X^kT0t!aI2KC^fGV!v(CLL;%C;I$ZQ
zv~bH}oLfgPudaqh?yZv9)M=~?#ELy9u$lV5*`fx8DONAHC3Zi{wp>gRATUXhIc%|V
zcCeW+R>#0@bYhXxo(Dq{<<$kUp4_K#Jv`Q*wespF8AmF~nX1=cGnMN#kbKZfg9$XX
zu7u*dy1Qug@Tul1zdyRs;Iuq>nv>yQ{ulsJ47~));o-%Oxa=ePpE}02^N-7-(-yW+
z)wQ)>&cAnGJh%Sg41r*FllUQxCP)`tf+(T^Y;fKD{%s0$zcjF)@p3UB&Ax)P)03J*
zmf!92ccs^^N=8Lt(u)aSdvtWfcm1QD7E@hVK{hz8w%zLLAC(rleRZ|xK`<H+!nwsj
zl33me(FU1ZNDgKy%Lve?7VaVkX^e|6aP)M{w>C_N_GxSeQ^MjgrC*}u`~+U6N~?DE
z0YK_%7JVK`mypdk;zP>+-aFn*=nn;s0>H&J22AKSgGd>j>%#Zy^6f8uP-r9G9v&Zi
zSbenxv{Fvdy!gg^89MoCi{Brm0G>RGE8hJMGBQX{vAJfle^0Tueko3f*5d$}LN?Mr
zUd<}K4F4deBJ;^kTf8bS=s{9hfQ5^Phd_BfIClX+0Q2(_w7cnOem^5y*0GCA`B+$d
zSg$=h>sVTC1=v}LLqzZH@12j_pF28T!1643_dBoXa~6PcepiIw9;$Ud?@T+-tGb6^
zr~1r$o|@gQ=Qq<cDfJeprT_*#-f#yRwY~oOzeU8iAVzPfPc-h9TU@<*@p*A+X=%?t
za@*tSBCB&E<|drPDr)U{`#&~jz6T2ziNozTpstuGo-+q&#kya<{5QPw>fich)c*c{
z7C<yXT>poPuFZ7!%*LrV<q;J}iN+{h6bp_7FMP;O77;lEKEScU4)*>GWh2_XUXHKo
zAs95M2F28)yIW`fMJfe@YqUvWxF+_+cu|JXPlO}7Mi7DX-BqzWi)jmwQm-E|2^z~B
z;26w7R{Ck7t6I-ni2)CR-y7K_Gih=^tECSFErL?D%4yU{%-GRg7b}B_>C%pHOo+`u
z&Zabb;@;ON;7w=LtuRYXp22AmiO3p}#kCk%NJQ=0P!gAr01r9%0^ey|zkjsD4(S^j
zlGL&h3NciOsm|(-P~hSe+K00tb@ok_43*Qe@%7iYC~seP=h+9jB%Q$Mx^T`scb<}5
zi|06RT*RQ4ulM$s97y&(`MwOS6YsH6)WVXcQwqsipn;br4ONLuJIzO%krRM2`zmWe
zn*d8R4kVCO3C&mK)NafzX4*E-W8ywC(zgPAEWihLC0JPpB9#E7GI48fuFu%c5|@?%
zV;n1vXmP#11X&W1Zznb3WoK~2&M+$i^Bxp=*^vWyULo#`e<7BtIb86i$mk=0t2pBG
zZlJaXy1{4U*=om!okf}Gqn5z6-%>UH-Rr?R!}l1Z0!{A(!Z5KB$)oFAS<x(O??owM
zfNKE^Lr<S1S}?+$qezK)ul=5$o&e9H{eyrHlyJAMT`|E9zUf?~KI`%>BA&ha)lr_u
zF%qQBzgWSlozw{qk-hc}7_`4-qa#B;3*PQL_c)F|Zal}v>fDZ~u??)9CpLmg3nXM_
zttQO6udUmW{C=t@aJ~)?&)G5MN=tgq^Y`G7B8Gs?p7{|R$(NC!@&U*>K7v-Cl{564
zWD@ZWWA&$J%k#56`Z@0jEQfzO@8&8`4-ef6X$C>%!{Je~J{aoNfqfOs{K{9fuN}Vg
z`20uM%H$d<|N2ctFUa2DR`%e}o-+pkc`u8f?kB0(*kL2S3@^d=2kMEOK*TgT85mNh
zHz+_B4<|epZ_rSNp4ZG`{h!I4Qv3#54Nb{C+ki_{TH{d*sZ$tAli#>MX4HinA!s+(
zjuToU^}%duA{3JplA)A~gEeH^9EPmKnT;cb1V<`?$}Z?)gD0-#KY9?U(bEGzo&}FV
zmy>S)Jx+s^^NobNn_K4a<%khm$DgFBse~)`GC2Z-uRc7G9U$H6OXQV@5gNkZK(vKr
z-#|o9dkPXo)P(09dsze~dkM-)OU;%zKR5$YBhj%>{SFuI{ik{CFUSF9JSw8<pU1^R
zim-^tsq{<;1^|B&UBfhL$ABkI9p`=<4nho{9&YWLi7j;`TcvruRW>rgqe!m4*FiGU
zhuEmj(@HH>{pEOXi4L06-QA7WVV%w&7xjKu6+r=pG!<bcr}mjG1sz+W5`G^f*xuq7
z+Lad`@yN>jkW{Wa`I1-oh7U4ps4;r+W9!aU1WXfkA7>6c*RxVmgfD7S5(<hfQPasG
zhrV&Ti8uv4w`>Ecg(uu7{;TkY0wAf+g6l-1K3XR5h;!YZwICS*nZ*zUPj#pFhbL0f
zLdf9v)7=4w{P8GEGd3Tn+d#NsZ<VDcW&pUPe`lQxZ!N9ZK*_-xm)a-m)b-qV!<jY?
z3KM<<A{UG*03CbgPW!W??|qR;7rK*m!C`&wRRFk^1X$HU*$BJr1qgg)b_0=LXQ65y
zk4L)ec4yB5kQLiO5<q1MfW@@04{`qi{HpM30LMO~sA-iRN1E$*LzJK;7t~3Cm-ibS
zbgvDBw=UrKd)NNDe|CO6*RDNdS<j4sg$2W#h)hAxRQso9z$`s)DV*bnCbrs@5l>HE
z;b*<i#UZ_~ba!jMUP&~VT?q6!u6hXmQ@)k?RKc~vmkTu<<CP%j&$x7Ojm<E5FPGkw
zlXeV-KE)E8|I|^)eGB7{T0nb`sj2C!73BM9xAu;<HW@G!7hy>-M!}OM_|9U-QOw6!
zXW_pR4-}7264mAWFt^*ZH!8qA6*GELJ>Prd2~U<wuNgvd-h0<}q?2~limVrItX?6d
z-dmmz(IOKZjI|C>N3hSbGeOZ#cE?Kn-qxY_77+5wH^MHN_+S2*O-)GQ!M%W>%P%VZ
zx+qHGO)|bsfhhy2sA2UNu^IH<zn&jyZe$A-lkSaK1_CgHpvVCgv+P3%@M^NF&ct8M
z%z%oCMvIPYOcqf+Y`HQTN6Z%de}bwNOLp$sf|*@k&x(rJv>KDZ+3}X#kvA?<?MeX|
z>@oRI``19qP+4hhZ3K^?RF#+&u@q>vFA{`@_?Hm=Zv@YO<b}-SD~d{}CJjd#iH<V`
z$GBpE(9@l%vui$XvXb`&P6qF<`%ZWK@-XfB1cJOoGxfrR6RO0;b{=M4{4z!!L;b;$
z_ey(8UoXyFbamGwbYCYIs+X%icQ{DJ;?%uw8ewc{XxQVCt5KEG;OnRh>xIByg&3#I
z)#wudD@uyYY4?sbYH2AcpeWHr27oXuGJt+JdTl41KPI^3olxvd0>#;*8(k15<1sJZ
zfQ=NNJ3pp~LG?l=t!JI<DNx>kIrIeJvOC}u|Mx6gh<pEez@R!aGxJ#&`Ha+q@|tFU
z*6%?<|7$?F%zNv(6C)v)!8bQEbMaiW@Ju4K7JPOW0<{0@&jM$Q;ADbk5m00Y=L1}G
z-0cUlAVI~uSxn_A)BV(p<ITTw=6`Iwyo8ro?lWm?4zK5>q0d;G;4{+&&i=Duk~;3$
z3;ORl(FpHO_!EC^#kcw;>wnkQALHWx;aMplfY;6i*e~FHo^QctBEjm~VM$>Ai>Bti
zx6()RY>k8j6p))SCe;@<+yPHas~oWbq>>=81`O!j6eC!D|A5sen&=p4HbmYYt0E&K
zgUpCbYdE-h$D+bQy+@1Kgt<Ki8;n`<bT-lR>1bNh0ELV`8F?OTDp3@1h)++6785rY
zSHqxp#rsSbze)kt31(5@&WB^RKk2eh*Bcuf5l4s}hUd2rfoS--^|jystCMd2)1v>Y
zYizH}lWKx~@S7c7NFwGtm03#1_6;%cmbjK+%DUIrsN)x{l}iX>Zb3)z@uMYEzUf~W
zl74}VT<MMStRvIEQZqajLAQL|ZY9eM>Q!~ydVU$;W@*hk0yF!=Tpa3oTrQ;{jMrSD
zWN-K<>(t_+t8BqW{4^l6T?-cT^{_VRa^BdA^zEms3GDu;pw-ddl7l})<$=eF#-0mQ
zjvEFmJ_0hv@xtf*dqELX{*SVN-}(0Wan_K>a3VjwpQ;k+4nCbS%8+SDrMVJ^P>rRY
zeGpWJUPql%6wEeQ!ptx!SNA&Yh`*Yf!_o!t)hE?hZINhOJKmK2quyMB29}iC1)%v;
z=Hxy5Wdc}1^^4<bm(pLEh(ciDdO9vGwOW_oNeAH<h*EGw$bkrk1lvG0^7T9t^e|5g
z+!{HvzU6LM+a%7$oT6K8Z*T0ZX>4>(n`siOwsiOM>QJVOX+{fXJ$4n1g%&Jo@LK%d
z6)nYzpszNKG90JZ-~HLQ`=M_6**Gx2sE_#6aes>T<L3DkJyQW-&Ree0w9Nd@GT?VI
zi^0`hXr>4wDwad^W2FwKN)NZ7CGOg;7}bhP18jy)B~cKofIwU8na#xQ-JM&GJTy=w
z(YU#yRb2}hDn)XlC8;u(*~F5-M0$Idl5RTCJQHs)W>vBhB@$+@4A+XNO=nH#rR4i!
zYYclE`!Ce4*s{gSz|pZD5OvI!|9xRdOsX+1a%hH|<SnIq32~DC>*PGVYX?>k**yDc
zV<{T(95S0E_%EWGaY2^YiNQ>p)R+P77~1ooqJhi0Upx<v*r2anZ;&LYyA)}V1R{_9
z;<amDH$m%@R>;J}1fiivwMoPoA<8Y$AmN~W@#oLPV}**7Mk`?YyeoUJ<d=b&{vshQ
zvkxvLxKON2gQqo8o&j&UFcThRtg)rYl(UuSEm0oer)9%2EKM0pU(<&D)JWnFgD8-Z
zD#WaYN-zo^lvZSFMTu9=LF|c(zA$j5jd!iThx!$ofqON@E1SUZ$}Ph-m`5xD+0%{r
z?h<PYo@LTmIR{R49POQ6mg@rwIX~t<w4NnWGRR*eB$}|gOx67!7U1_|U#zAr0H494
z#f#}6xEcoJTe9wdcF+F3W-Sa+LO2LHPShYjA78_T&KGTMpsIf8i65as5@j{;SwT}0
z6bTD|`SPXqnlB;5?^f~>Rg3~EWP}5$$fZ9^Czl-jeR!A}AqqsLKPp5SC`%h<)EWDg
z;-Q#f<P#GC93M%ee!B@~t;?l~KLa>gulPAO{DUv=0e%0!+kNg9h`heZSI%ENcZ>+5
z!(#Knusm$k@RrV*_`B@{3vLwz!pcpq89MqQj0i$zqmYjcr0oF-3Aj?RK|w)IwogI&
zi27j0gfA%{r)cc>qgFNtEXXbb9UqU_ozW&-vo8ye+^Wp`9aVJ5Lq%!d&8jx{L-zWo
z@I*N)2@Dt`5-Gjrs5j~U)b~@N4t_WCEO2Q-l>h*w&Wl%IQUqnKBXWEgZt#a`ct~MC
zEh(=KKSWqj1Vn%Oj*+q5wiLenQYwCi{MUKRhCx4dDOs{q8#=^?hgxpto5hUJ*KpU&
z_j(OGqMo&++vVuYbSrzrDUyuIg~&0gWxWk2N1vxpPfwW=U=5_+BSfQB2I%PFIsLP2
z!y4H@32%C>6?xQBt|~1O4xd`hS!JGXi$M%2&Syn5I?-Z`Yj*o|zz95CzwbhpMk=+L
z@)4!qaahxTYmo6|9zOJ+xMit<_`tIk@B5iHx**2!9awX``S9VxGB?1}2F}mfH2EX2
zXf`MV7+`c|@|ACo{`~38B{5y*GL#X=!NkmlY#?B5<myn16Z1d{ARBffkW7TfVJLZM
zZXJsglCOb`$6M=Z<SV2eOgx@_AL!R0%l!-2Hl9kmLirKjWl<JP9h-Ep@mO$;@@A!_
zv7`59WhxWC<~4+-h|<8-VUU8aj+V;zL+LlnGUOY0)IX*m6XgF5ybf7fIj*76VKp7&
z-G{VL-DZx$ks}7Mrm*|kLpJ=Nty6Cf6CvdJW=o*X1zZ{M<m2Z3GGB4UQGljJ8`HcZ
z?-!jx`yn}pCBenT1xT`)-+2P-KREjs0Dz;28M>$qC<kETve9?Vi@7-!NRtZc<8s}i
zn7|~z_mfAx#!Hc3Q1S`hfd$7^w{}4ej=J%erkDs+LJ*<cnjtDwj;b{{h<0py0#yhr
zUU2RogG^~m?ZtHAF5dNA5o>}0utG-?^PZ>U)ES0@=vg3RG35}LL_50ZY7WaK*S(4G
zV2?+H1XTaA)s}3u(JCkpZ#*XB+)~4_3fqtnXoNk~px_c8Bxu?P*6zxiGQa#!o@N#h
zfkU?zBxY?nXDtE6<GXCIFEmC)7+E|nHtVNVDk>jrxB7sx_L$+F>Y@p%9%eL2cNw|X
zG7ZB%0m9!C<U5}Im%54>cIopoPc5TW2)+fIPPy-1-89mGXMNtfi!uQGi`i&H6JY({
z#&<oDAwr1}LwX!<Ji9l0ColOip*{TQty*|v2Ghgea{>iM2h8Wj4-86~oHnkmzOiip
zSd)}g2M4jYCcH;|AZL$W!I^|oL0^@CiFzJ0Tfvl5VGQ}NwuFLq97rr`Bs^)fbT>0Y
z`8DYzsj5+Dv*7^Ia+p(mnuXs7A6AkkiSW-aJ!8mvk`RjJjyJAu6T$ve12La$WiYR$
zT3e5(5@3sY+bYXj6{D;s0f<}zy$i7_R8kaqT-1?N%MB#-6*qTQ!3q!{tg$K^aJl_q
zpEHMg>e0*ccUH;2f>9gxIU6FTU<I&jp&<Y$sgPcPATq7wErM+g#zOAb<1IVQKGC%F
zxPx2f#ac{9EnZ^#()0;<jO=UX<l#KXLJL%WBc?+)sWHXNbG08I{kfqclGfJNbO~S*
zb0q%G$oM88Iazchu-LNyG7)~|bwH5iV(1-C0e~^(3KS>#ETUhkF(vWt3rG0dXn6gl
z{eLZh9)l^*($rM7wRab|Z|&_DbKtUujQ}TC@n6__;kZ4)ydwaq+8Y`g^p6a}u>e^K
z$QHwJ)&XP;;)MxmZWeN*!WKPg87#};txhR}!Ei)>!*DSL2D~s}fNM4FVjqBXT?mZU
z_!00I%-%e1xcr?8(g&U2b8~b1Iti497J#bfkfr>H<fG^$C_7JOJ}zw-;7WJRaP+VC
z#){Q0|Lg64_aui4bNe&I0;Ey%hVI;JFK_?#=#s;u1j{#xXd%)HD==Z=Q<*9t;zMbL
z$P`6{qKV@9p<5Jiu~2gCM@&>2AxI!JR@?n-Nyq(|_qw^YWkO~BroA(4@-*Yht-WFX
zXw`8q#%XS5wW8$kp!6>D#&c~yg=PyL9-AxgC8_~!D{26iAGHZiya;W=VJSk^9D*5X
ztw>xkl~jIw)O4b&p`pLM*CQWVLHf83B7_WcZh|lJ;uJu>SMT_s@Y?RNif@8I;uh%q
zX)mjP%S2!Z_Db|#mi5K5;-umjxHgeW`YD>9qM-rN^K<Q#TP^~?$y8m{1fMCpCrL<y
zX6FZkAB7VTMD_nBZ1Z;IzsR8r4<6zm{bKN}x?@1ldqHSK-l`Q>nsYO}ByHH5SV$Z8
zpC1MI&B0Kz_rFW?ncm;qh>#IQ9QJPh?V#S2odKj+I`B$~gQbs+m~VJDT#Yxz##9%Y
z9brb^3=>L0T4}*qL33*-y`HE{wjGs(2*Eff$v=rpo+{#<e*9Scj5l8h%*&Yt={HrB
zeMXjxw>i{LZ??;P%`P$@7~rEy8jW%^F<zkP-oAXYc2C}!0a8Nz$$n?>#aU`|s_>L?
zfAFRwq;G;tG|t8jh}QUE_rc!V87bc6k89?A2XjCdgT3@7!{k41P<;uTc?ZcNQX!X7
zhIBy^&y^KZjTeExX*6FZmWtN!+F|<geMCR8U~U?<ocBL*XGgkSJ(i{u4OU`|K+Jp^
zyU|Gcxx1>*3Q{oK-RkXdqVm2P-u;gj?5dEBmQw(IRe(S2uYmX0qBi$DPSS=4+D^ws
z>)TqddRF)*gVZaxN5|3i<>lp$Kcl0}s>Yi%h+UUkNLfUm1mcVrKZU>i*n<`MmuC|W
z<>9&c;@>Vvc6|l#S)lzBn0@5!!CLG1i9&dPe=ia&CKRuldDJYs+%UrdOhh+Zh9JF1
zweeRdRo0mw1rh`a8-m#-UwGPeRA1TQ{c)vFZ+y|gK3uUh>i6Hv5=9t{5Ybna`J)Ln
zzPr2o*)Q)DW%6y4>5qX)FX^IVNvU|TbE<kS7`~$V`pB4}_{1y!zQBXq5LFODgb()l
zU1Ecpp==vBM6A%7^l`*c9Tcjot1qsvzw(PTk$wLrLbc3sx#lx%eQoXbeMiHGA_%Pz
zDvP?Co2%<BqZSYXT$RPW?t81Me~-(I$u^jv-z-bjkuGra<|pB{FlN){OWJPSj`xM3
zEa0GMhr=nOS1|68)#y}$2;;`(_EyPyn$RiJ{O@rn<cY>}=Jh7E2lr2FYngm5q!0pO
zi~tIuoAm!V#4GRTzlIkS7*70ccB&o~>kHo6`Q<91Cw7c+8w&FW(3g3=Tc?|yrTIAT
zXX}T?@70KvWO(rJzSB{nBf`=63{H~;hrNQss*fu$ORXeLpQ^q_uQJY891*5*ub}{y
zoXmbbRi9YmPEM$#a%n~`1Uik^bjnr3a<fBum8ts9BdiFKQv%Q#5dv}@vdWR_MB1)F
z1U3H<+<%VM9UT+A-n6ohWDrP6yp#`_ji^{Lgsn^&Y5N`IGb)+rp!X2frt3(6LyzlD
z;(~?wpuW7dtew8`LB57%aGUlHL<m|EW^gl7kgeK^=F1$KOIAl^yqdLkjV){;BQbUL
z?LzG^C;;=(OZVDcH4(2ch4-|s_4rQdQ}9^Bqd2{@^x{Z0`(V_^#H}CmNCkCMrZPoJ
zcoMrD>ZtpFM`}B^KT`~z%{Tys?Bg^jb@N;=O41d`>>nt<w-yTx8ggdt<oW1%O`7yt
zf~N<|YvHdC;uE*`1$XDO!*-87>-M=oalS_SLk|`yyH=}{C11v2aCYzZ)}61;`L)}J
zjOvFLO?%?Oi#FAT_7ZC`_)vKx;+H|QB7?T+z2#HiTb0iRKEL&Q>Qp>rai6#Jer%dQ
z;*G3rZoXaEdBhWA&5+|&z)g&z=q!Kn0tzAXAxU1-qxbysp`?K@1}g6p7@!!B#EOgQ
zhmD1s1I3ZgRdoBIM)6yGU$Z86ZfT;m^Q*J-{Eesm--jC91a)B)yil0}_TO0_AuQ<I
z<)LA^pfzA^O)iIGE(DwK4HY?ru!Xh3-oXcASN~s22j1PI7bfEM-)2tk7A=Cp&=0%z
z(X5Q`Ml#}R-kWd*1kin=7ULk&ec)dA-m4#IfFpzYot#)U|09Oj_(7w|q+0f`Z*CG4
zJshgP^~q9hi^4?<o%?sc>JjXOs{+_MPtm~kS$DT@gWAs=hZCn(5M4)$8y$Oz(lvTa
zqCj3KWJzc<Hq(BAkIBu={Z^*n$45rBK-OgTU!|kIUOMn67lxir48}U4#)g9HOH1Zl
zX;QIcCbfZ8Lk%ZD`CK`V|F)IsFRu(#;do+BGQJ7@o1KoLAVLCO#n!jD66rxTL}%LU
zI1H>{_}GabUE16kS8@>A_$XKj{|P;Ny`9$j_+i&j$|PPiD3=_jfP94TuJTpmRr8
z`&r(CcEtTIwCKkS`oX!XQLC{vBzaRbyC@2XSf1-iQU-;#v>_$&Fk1ff*FMt@GVvoL
z38$u9YIcg&5b_fN1c)?k6Xz?(q*VxnUwSxW1<qALegfZ_HR9GoFl#a)e$8lhW%XJ!
z<HwG1qO3f*@iYtSa!$M;mt6>QuZLh`QJlHUcSKBhd6ZrwZ|9a4H)nXTvRz2yFV{*%
z_XSHrH`75(RjLWMbVH@qo5gD^-~YX9%>~GOy$?%@p1t9Z&yDE+Yg-2L=d<U{jxuHv
zi_|(mpNAL&e{HlehXz$dGPSV5a=js4q>m=_k_eA*R&fNh1(?CKCN;^^l*BDJQB@W;
zFh!v6g7g{IRt_9UtqQ_1r%#*)x6fqz_j2kp^a(Vo(IFyG@;(;<RTv47yq+beP8E7O
zW*UdW`M8e)Ry398&9n)m;M--uJ5N|mdNPi(+)1(uE-Qfvb~1cW0Cty1aB{4`=<5X0
zFKoP><t6+eleShp(U{M@S+NAzOC&y@UvUJmx;({i+uPL=ev?1`xscO;^%UqiL7y<9
zX-Bx9Zf#+q^+`bT`}nN(?{?$_JT@xS&ngpZo>)KP-$aPldF%JSghXT3l5q*s!dVca
zj3{bg2k=J|MAMjmQFaR7VKQ6>m1&(`BzO24;!9lE{xlFtTz-P58!H`KqbdctZv!G&
z{>G~DE4R{8oanv(Yw%4iRIAh>i5jFMPB{0C@Poj5k51yI4x`8@=n{Mt{L<DxC>P61
z<<r&@W|zT>V!x`;<_?!DvhS1u*_2ZPX~XL5%TnR5-K!?ZnMc)y$HIQO@6}nA_9goI
zV`bbcw0YW84QzV_;=iLKC?-}fU9fUvLhr4w=X@-0at#qmMm#7kCZt=!RHL)=gQ5mU
z4@5I^*Pi$_>$u7LX9rRuv-uh&&!ID%N52|3k0=-`c^6tBWM`COV5$bv8~?e^x00%j
zRw$NSf_^vaZ{Nyv>5xS7TbBbcN0J@)q?Q{Zcm|#XAv>;20UPRv?^qLHv`C8Z#)#Fm
zoq0T;>Fax{ez~=_LgL)=M35vn_XYAeM%g@%nzu2UDx}Le>)p5Km}!0d*rbX_E&xv$
zIA+9_veU|+_|Y=_djf~kO#|ADjHLvtIF6mdm}Z9Qi3=v8_1xw7GF;1{zNGD-+SP^g
z{J7a$JnTU`YY8}0dtqTog)+^=UDwPISP_9B*W3jq@h0>Y+AGP8$qasENTC_f;I2PD
zA9GkiO<UW8hSeNCla|Y05&<w{kOGi7ZWs}gAFuJoO+vkrDVLcPgpX|6G;KVHKzmt$
zU*hzS0t|E?<A~v^E5Q_c2-pzo7^Lri_AnY+K2Cgh7tN3ZuUPKL?Z8jTO#hf875*?5
zI0$A*DBuL?*DlWbcYs#z4ElE3Q20B12BpF-IG-N!1GwUs^^PfmQ|w$a$(ZqoEcz<a
zVjWWz_{d1rBC55@GMF^QTEe0*(Z21rWX{NXjEL9xV%6>KBw{g%KM;iAFdZjBk1o)5
zel#dzDo_8DeCF5AEN>!~vU`ymocntXjYDzdz@bzk<JoUsqERkrqi+B@oTae88Ju8=
z7UGB*g|Y+?%gs#yysFjvHjhRTHs@l3S@Lqyes7>{uT+R!g8*Mo%3N{Cq|H}|K!Jo(
zyl<*|y!vFBtN43+(pZxr@rY`E%{OXfu|>aGY<m_RQo5-<te1ap-0)56Q@44ZPrr5N
zmys8af7NW(gW81N81F$fX0%1EKc(uV5=zoz<fG?9W~m<n*ic8Po2kaK2~V>AZ1WD<
z;)NL8z-NeX4=T#)OI+QzwIY2bAtn9Ei590ZWsQSOOjQt%=U`Q5EHIv4K>ayUmgM3^
zHCqGn<m3k7XpO_IP}prAJYr%KENRzDOfG-|n+6hYs)PkoIUQ-L5I^$xfyNr%MMuah
zRcDwr+-_yCTxj;@5g!#v+<w&rl$#eUp9rqK1jaNV@&}R5r}thp)j8i>0Y{=t*Z#K$
zjnEjIY|?&=jR^@y1U^@!KYXPQ>YF{arFhPBF1?%Zq+`fM$l{f!DBPD`9l(}6$*kLP
z%rgP#*0NQ?wDCPq2ZC({jv9<n&{S+_rS7iWYOAGyNOQ*j!{dX^#h3+`lA@yMds$k)
zkkGFs8O9(R20Ab%@VT)PpNJ^x^pl6Xko26@5}%C@1nTwGoRI**r!}ddLZ_WCYm!Jo
zuOACvgxzKMONFwAHKs_@?hYi%i{S_g=9cBR;BnA(*$nLcXx=^7yO0H*k&|GaNZ`Vs
zV<gLMnB|k%#+S8dpB59flw&7A2LW#`mCH-Lo0wR&4D9HiU?GjbII8(;ECn-m-&Fwz
zoOzJ5HXdxx?|2xWIB}Q*IZ1gR@Doud>W02xnxi1z#5Os?xl{nb$LmH56gdKW1i$Tz
z^SyPn;L{%_eKoAwZRUC%bQRj{M6{KubYhU~m9LiYrXvdw@{kzC$*y?F<*`zrLSZqg
z>ejI2$Q@waM@B+Phvh1~Ckt}F4U)e0Nv3!k`R^<B*b&Uq%1Usg=?8}_T$iD<6<&fV
zE3)LwB`L}SkZdn6E5Y>tA^9TuME@$ZTn5PUtI`{4utPc!4>nkedJK1p;(SmM>>c?r
zbI?{%qtV#RU^mm(iux3s;B>-Hv=|lyC6t8s2@tDm801#W+fzgda42_RNWb;)BJ!Q@
zT}#)y$8?_`isrAYs#So+Z}Whlnvf?8I0)H94%pQ5<EKv1sL5s7_;aj&FWCDJy`hr1
zB3#0ZP3GxnR~>bSv5JcN2@xO}i^No819xd+v+4Pz+dq-XhCg9l_7nUW6Habc-o<>w
z^~MeCg&7ELY}5rBTpFXyw(&vwHoY>4w8kIAdr{sQsvf0sx9@6eq&w^--R*ymZ_r>I
zASjr<Xe*%zsbavM+pUsUhJ$-YIP}xPhJi{E;liXNiQZg;yK@ckXQ9~lJ4_vC{(s)>
zI?Ni3mJjMB%3dzXDEkj{nL8kC7Q({8pgDmV4fRzdgTSM!&i88cV)i$+!Uv~p?}guJ
zYBQsYG#Vk>OT)M$=_4&AE*7fbVU>jkAhO7cA6a|8eEvwGfG;cJgn=E@q<lFy*)3hS
zpe+gKur1J%do9kAW8raYpz}>pWFxT=4I+>D$XN*GEozaAaGu`zn20F?Vs6)O>f0ji
zE09+TuY%qpB{Wz5Nk+wj(2xgIH*fFJ51!_Fz3R2GwvIx!uZWM^Z>jS0!Hx+MMvaa&
z@r5@2u!*z@00*9hG#dNiIV8S!H46ODGK^sqKr?$6%~oyp6P&Aa#9j(f$dF!^HxWTP
z=HDFeOgTVmp7if+o?qy^P<U90BHiSLm<v&X^8WCVRwFPGFwCHxSvB5MyN0XKC4lR<
zd~H_WrNtvVej2&JnR-$Y2IUTimrB@Y!p-ZxV0S5`2?g9^$9ButL}TF_Esm!wx>0I5
zPn_?#yUZ9OWbYv9!tb)2=6v7f(M{eQjKJv<#yP5u$s|AxaP$Ix;JvZ*53cznEtAO>
z#QkD1SupQqF{l)n+RA^uA|pz<foZ#fioS($lg0nH?ds}E!fB|*PINc}e+3celDXJ@
zlrc?)8mzyiH}DiNssJC6u@`CxM#7lD$f>24$}kE{kvAQeQ~@AdtZw;)1)V=5QuQKn
zbk}{cCzk>N5<krrRD#{C(2V}s-D0blC3h}70f!T}QFe?02AWZWrBqaL8gG}sss{x#
z;Wm1f*D|CH1_~j>OUBB~FG0zvGEzkq<gsZsPmJ1XGpJ;yU{kt^A9(WrK;W4e>CPf`
zOAQYC(6?hRKdA1A_>Eag^2W?Z%!Kk&;~?22;o)X#Hp|S^(S+V(r!X@z8ms^6ExHj;
z$0w(eNtvO!=D&T3kZ+c{vH>v_fy>R78K}t={t#~xxH`L?Ec(kuP=zj(!c!JBXYld3
zP`tHFi<Vb`W{aX=h>5Spw_qm=hsGu=GQ_iC9C;B66DbP43vd~GvARyyvU>V3?0k!_
zo7|d-CC)`bPF0&RHEsUo8$`%**7<=Dj-{4?Damu@O$FyTO;ybgPSR-D98O>nmC;!|
zQ7?T`1MLT(akTt84qpE+$xVt=pOmF|>C}|0qB&SSv*@JYV(pBhY7;0b!*b&bq!K4b
zaQRW$mYrh%`&$Tw(@$1!7Rg$8AfK8XwDowrySm&$gXqzy;J6|h1razV2AGYnPXDZ-
z?<Tg2n2_>OZ+)F0(93cfOV`rgUjC4hMje|LXqMvo0)ps6>8B_lUCSbgN#|@A4`v?l
zFd(-vJv`Tk{QraC|NMn8(Tpj=J?tp)$c0h)7HFs4+AI1mKxK#HD#K`KuH=j|_uOV8
zy7g4t{0EQKWn{=ivyN8+tN@^qpuvrM4({o{vuy<&1z7!DqE$HvW+T@i0Wy0eWU*+Y
zX=2>#Ad*Zc6V1GR3YQxYf-v|F#Y}^Tek?I&QCYlixuC4fMM#*Is$?s0CUoi=!Z-?F
z<!97}c#n&HI<wnn+Q&B9{YG;T9n~?j9$np7Az?Q_XjJkpxZ}@#$E$WUSuT{lYNnqo
z0|3yobRU)}?D=(-Em5fZbA?%HOwV};eKh9N%}P5Buy6n-d}{*<ap$0~FBcsPAtjeJ
zKVva^eE)(8!x!Q($vOaHq+3@zZm^^D37pSnycmC*MM@sFIU5j&zdtCz{QSjGyyX)Q
zUNs%E%0LPu2xTa|++$iT2`uisK-4)?BnWcNtmSyWg4?Aa<{v*;7Y@Oz<fAI<UFqq|
zkF7BvjYz=8DR_BcN%R$wP>hIe&=%Xyu2Yf{DnP6_W?=Q%O#02c7d1lSt8Tr?@IJD}
zFKjvyGcjvAIsn-6iVk=EW}Am=3l8b>i@yE$>Hg%XEqQ`uBD$9`yP-YghhLT8z6(q{
zFgt(cV~FQ1kS$~rPoP5gmA9K|^+8Y+l5Yl~bd*<vGAL_PLOb6HK_U^@j8s6OS4#L~
z8YBB8Zo!3HT<BI`0ot7KD+t>lQs21)4u^(U`$3_ZD;q^Zshr<zT4@+X9!IPlTMBVS
z?C%kVeF624&D_7GMSHW<?bk6p-X|~H<~L#eBDyefZ&h3sGKNm2Pg3-Tm)0vJChW6Q
zTkCK{3z;wWaKy##r|iA@1Z~3<sl6%1x#EcQ)RiehC8KjC7}T%jENhh4|8hS1G>a*w
zpDbK}r)I8Swp?=}M*F};Q&5Mj^8uBjh~tZn_F}V~wXB}4Q0Z*lBHp*7S2iEO5hsP4
z0G-qa(*@7AspoIHM=6wTB|LP;B%4rYe@qG}yhyNFs(PZCTXz3R3;#<<>KR|;%z=YL
zRW9{O>RgdoY3(n34srW!u>d0C8b4j5W^m9MMrCF^5N|Dk^3)_892l?8$}lXxPjYdt
zp(4mdSjy=AG{#(xrE+d#=*&0F;fzNl5*xGypbpYqQRgVjIz@f+S0U?I^`0J8!bpbO
z1Z>(;8dv!nRY(tUs<1!~n>zWth=UTxi(e?;OWt0+cz2B&m5WWE?M+@bpGOnx8XJaU
zLJq-%2+KEJF^qy(U^7+;nVHKugtAvJNZw{pg^+@P+&^6X_4}?~H!Cg=A4ywRm8IY_
zP|zT!#thzqS!m>liu6Pcb2cdMslQKSRnX2&It=l0P2zwMD&on#;zy<cH)#~fAc~*R
zd?&aL+I2dah5tM1u?1!l%KrW7(yB4X)#l=~soy-;_F|3Y>`daT4}6$>d!sSUbv@J&
zvY4GA5G$6T!0}mbZgljNO6pvoXt=3&C!XoPjYLQquG*-tIyxYz5BghCn56ftMLd>{
z8V7!jS66#-d7+`bt<A%KnuZ{;D^CW}hy@)a_Qh)KFc5R=Lm*Y&5P_BeDAi3{)8tw=
zl`vFeHs58z81$3L=|}%(u5dXjj0;wI!x~0m`K(5*P0eVyTof@Cxq-Gc{{(Czs5}Hw
zw9PC?mrO+{+U~+~TN%u%B6Kqx>lz_7+dM#K<Z^J{_A6Um#Lq`cUqavAyOrxVoX?Jc
zGqJITPNwjiC`g1ry};x}+j6Lt3i$(lQZ7vFHApXXYhUZ`7S7z?Tf;yggCSiN(gwbs
zh+x=PT!6*O@I87`P7VefC&7r~m&8u{^k+?X8`>SuWr`ZD_h_*dZ76Gx&(2GEY-<)R
z1V_lT8&P{VS=#>-5yM#(xZ1a8&8VSh-2Rysv1%ijNa47Wy_Q_xT0aGW#MBi3%7*bN
z;w;a*XH1Y>2wVLcfumO-Ba}{`o){=uGO~Ej3MWb8JZtea(b8@Wz%q{tZ#SV5F8ABP
zUEn*;pHd6m__U+i-$~_qBSL04@MV=(c|G=0zT%D8Hzib7nElniu6WCExBPv3B|rWF
z?_A*39~^~?pWOt@D=Wn4FU(T!Ix533G^Uvg^0BR#+OS}7gfZAsWaDopWhiPH+~2$H
zaHYwTi@w$S*_n+q{6mg{76R9(pK1bBb`+%^*2+T_$be!GKiDH@Mx`hYaUDgMuB7N~
zsZ_`5cM+)Ap_P?D^Z~s?{T76iIK_~d1r;8nRGZFd#Y2tQJyKAc`893xKRU{xkT;H#
z04W7C9LpOEjyK?@!rz0lO&W6%9zxCMR{ZRcX~prTk<%qCcVTsPt{N@<0<cI24gkK!
z&@sX>|INJZ>$RV*OkHP&ck#YPnl@Q-DFW5Z4jZ>SA>-dttz5LgkDU(?%oP~iU4}Ej
z-oaG$ou(TYQJO(I>f;58KUc&UhwR5I3i3j63Ah4SK>m;7kXeS^Ji(h%hAdPxI31GA
zqCjlg8nFGU{uXu)evhjop9>u!)V0LBKQX9GTeVT~5u#9CZRA!mc|mB+nvWQ-3~vUf
zWxxH23{_H2h6G{izyZ|D{W_W((_0qRkM(PDl(Xqa{{|35(cpp{WK`1sdZ+x}z;Gbc
z8w7vZeBTF<K`2bRu)1<9Y54li_X4fXWXe_Tm)`pcZYIy~7MFUU#)1Z|_dn%|zg8(j
zXL^nczkZ0;V)f;q!W9`p82kby&!ve~R0LW+Ps&+Vs9(1prWp6*zbhR^X6DYoigedZ
zO+`WSTFV*XWVC^BiVG8^?&clwy{1@OC8?yTp}N)E6;TgPcVx(G+?ASu-#7Q*wv9W|
zytdGQ#VO+a%^f0{Cj_<k!|kXDe{*@oAdn#Ww8*`Bapm(%l3=L=ShsmZcK5mBFas)G
zfzc0^F%Qo?^)m2xum90EQQy1oAXS)(A%0cnce~ep;|Vbh(|RAmqL8d0iN$MR$aO_z
z8Adf&p}i*P$W=V|k~Zx^{p&rQ8V{qIpQ<wtF)7$WBeAIlk`afRtND0-bMh;c2yo~K
z4!)jzo!EZebk9$^nGu$C-<$<P3B2no2eC*ABcTsqUg9=YZ#}L47W8`XO#iJ$d5os6
z?lX>xC!kvE_Te2`rG>tk>10|GqaV#2sU6x^vi1^*LY_GX5tu6ose_qi?zg<Ej2EGT
zrzsFZd6&(z=ihfgfDYkN;O*j%=|T`{TrO9p%X9mH{)t*N1hbcAWY?}<!%>@i@`4`X
z?|*?)WenPt?kaiZ7C8*2%@|X*)vT5Fr(eE6hzWw2elq{`A{f<$E`Ur+o+#H=QVp^J
zM@_WNb9&{bfWrv;C<UsQ{iYTQd$OSrY}zB;V5~~qe&B?-q|-$!t(4*waPgu(W*a3`
z;H_z9sk*N_YWbeD9o*E~+FD;<5Ks3^$_|%5aUF9_@I)#>IOFtRON8CLl0p-0psq+{
zi50SgWTZtSUATEf@73s?vhw_8VNisI9KAZXIo827u(!X^5Bv_cBk<+vqw~ju+1Yp#
zsw(!v{+Aw^HY;<nl0sa>-@vZp$c+VQd8L5q-J(A{v8yLe*7^Gl_xn-HzV9d@EG7Af
zgZZq1ZYt;>SQ*2r^Tpvwu~VmF$pi{2;MtOknpMV2c0U=uQv19?ztzen_Sy!?QEO&4
z{h_2N(@wi_oq6%%n<b@_`j^7no^n0q1*F)T{q}C9F&6YV$xV)XDXoE910f%U(k5Je
zTBDc#*@L<jQvI>_Jx1Xqi6-D;0@)*svdHW&V5H1CrP-e`3n;K%CemrO*FyPJqW)hC
z5M=PdJqAHCzuBN<tGe~@g8CrS9a0~OY2fX>e&Z>s^~KTjA`&_K46I;))3k7yf*i07
z^F-mka^pbH($Umx9ql_$L-kBE4NZr$;$EhhEVs#QE*P_o!S0r&M*TDrec>0KtC+)X
zJ9wT&fe6yHK@-aQpUK9G1e2M<k7nc4sM%y3Fhg-y`-Qg^#Au@lq1!Eu3<QLJY2vg7
zR3Jo2ab*N$b;uy!NTXy=2vJBFs;E&m2kIuAb+<nTH+6Ob2BAMeI_y1i+E-9-1w1j!
zpt*3;J~EVYz?JDMyEG1D$Xc9^jy=R~X2)z=VBw;5l(>5DGtm<cB%Pso;&%1|yohCH
z+8B%c?X6Px>eep9a{02#(J>T9F;*3=k|AAzn1vzVj{fjCE@N5sQi%ON3mXO&hKJrp
zH+-)J+sgUz0?j9JP|9tu?R>Cy9LWK0SI<B5fF!>5={Pp0D4!2&F^i@`f&7*e0kg?C
z_fQQ(d0gi<-TvG+=ErcIG^Uk}&6wp$fN6q#BqM_aLK7--1cku)s;}&X+l--@&alHn
z;H_0zNq6N0MSpW$k?7Vid;?i<L}%H~UNpp(W{EVJ<S6E432is#63(IoXho*!QhWBF
zWn^g-b<P5;l%!wRK&8pZcj~{?oHIT(_$ZnKvJV3n0z%r#RRMOs#m_<-b#r~4?cGiG
z`zJi)+TNOaOx$*(cqlO7^}CW3`Bxcyd36hqPaQ{xDHsqNZD;U+bY1w7B@>qt*Qbty
zG{aub!lQYh$F^>r33E*6vbE6Hk>m<I%zyj2?6aaTL~m2JjGc_i4|}kf!4suR=)h2F
zM!8=JIXI6Zt%M7MS5i;DyD1&f^FGAl=Kj85`jf*s2s+5zk9hNP{Ra8|UMpg$|1@Zc
z-6);TKP);&IbhKswbqbbpL>4d*$5ni2qFxeT0aC7HQwPTvjnrrn4s<%>Am~0H1^OS
zAX!5H(?A)vf&5D<C|BwDT%fl2a6`{0BK?b|hd+%#g%gK9Q*>n2FXv330{icOasb)}
zG~V_M(Yzcp$J+2Dd)HMq!_&>kzn#`zOkO<f7M-v42Q+D3_LVNxk|9Gx%!Us6kNak|
z1i#7D|9XMtVRo|ru05+!yDu>@F+V<O+JPboYbY0wETU#m1y1#?oaiil$xmM`c&XKf
z4N`3{6Jz6DuhtbYg|^FS>Hdiug}p>5jEqVjizn`bp@7#Ra3O@@F;N`eQf7GE9?DA5
zR_e63G&ZV*G%Ou(s=dgc^&tjP2+_YV-0+<sb@l%tc(hq#-Z90!o*u3>S7`e}M`_$+
z8*-hAm>q8tf3C60#yH?=wWz#Ct|ySooi_^lM$e{=k-J7}e>uoN2q2$mYtWm0ArVvA
zopsZ?f_SrOeni2hdnr5UKF|W}nXQ#NzSZGwQnELSiXw;w69casEVDq2hu1j2)k+g<
z*5uiFn5;TPNZeFh{d{^CM>2CiEiKJ@k|Rztr-~bS1rklykFnm41&JYFGQ-Ag&Sj`4
z`CEjPLopgb74oq7^s3`CiaveW(jTG8Iwe@yoO!nL#I3M%0srB$y7^aH2z20jNm{aG
z-!+QI@)G(AOP>Jag@0ghENh{PMbz84k3E`!?%J+5_nwbJNul^3NjITU+!o8f+D$!~
z8yTdD`oH}u{n{Tz!tb;!mck0+Rqh`<1a%!?>3fnb#AWIrs3Gje^swUP#fED2Mhs|Q
z12@2?O)>5gS|0NR;XA6=v2Y77kRblWU(Se2ESIe(>*t9i>NP$%9x6{>^suC_AG#zF
z4<@oLuXSc7&j0XPKa8g%YjvefM8|6X?IwL1)Hdb69W+vE4i5>|`-ELJ()9&x<!ZaK
zj(X(c;qL0lEOiY%LV^a`w`!j^WeOs9|Bt4#4vK>NyZA1GQp(axNQsm*NVkBn^n!Fq
zcXu}eBHbk|NJ)1nrKB`Si<FdrNW**g`OUlIUyh>=v-jR_obx&EOZ4(!8!dnL<s<QP
zFKo!{giS?^hex5_;-4bCFf`h3*1i~8lJJETxlkGby8sKF88E*LgW(X%mua*rQ4z?D
z9~@K(cQnVgJ%)c7*?6WwQ}*>DrCDU-F|(|fEw>)cJp}GBM3qj)fwdMF7WB4Ax(Ch*
zz5f6UlFgJwvj6u7JI7V$ozn(Is(EEq6*y*}Uw>!z82$1p8j}b;A8Rd~8<r=59fquS
z{XJFI_UD^JQx^TV+iS1Pk`PRGb>$QVbUEHvxIw81D3Q!`lZtAx(!6kL2d_EXw+d{v
zh(DH_+?dV%d=^DNO=5zu1X>I}kG9RErs47Xl9{4BFON8%MeE#!ND@I=<DbwN1YG`M
z>b+NJSdDl89!Bk_EZQ<7<w1rLN;7OtsgbCwFk|>6U9?$F@L&QnjoHqQNBOBuI6bX&
zc}P=Zg`K7sF9r=sPiqE$B~$!ncqvy6-&VF>YM)?}y&m3mmyhn6dre(k(xKl9%eAIk
zMhJIl0VFYA%+2zi-+|yoq4;GXqAZ{bOm12?pqnV23tI{T<VVUD(qK;T=8RZaXU<IK
zM9evJ{vxs#Vu|mE#6E3h`0KOvpy7w@tG~+{$wM1En`CzrcRt)Ts_rLlACv9>*uXKR
zHe+5Ce|&xtQzI(H(-R}WV`N=RgZbEbQovvHeNa_0R&g=Cn4b?%aWhl0^$}~@uv`bX
zS~Mam>}exm+OxzHshSLHoh-}u0v@b7MrZy;n37PIMgT@|FIn|}yaXJZV_ScZ`z#Xh
z9xA{J{HP&J!OhExSN@Z{{L85c$3kulv_+~2L|G7%+NZRAHu*JyFxZo!?k5_|Mfylx
z7`a+R0fae{shju0t>Aj6emQf*VrXdShg-?Q{(Y6~OnZYQWJ&7288e|2C)K?2oL$Dq
zOa_nT@?fa=7Yd246>8l3eYe@rhSFe2)ZkScPvFSP+?-c)zbv8*WvdE2A`Lu3q0lfx
zKmsI>_z6$fsa_WdjPO3Uuhg^^p)zW5G57R5bA5lccm@``tV6j0mpdu}$NvF*9TzsO
zcrQ`bYrv6N2gm1f1;w|zM}6LnO7UimMx0sckfMJE!II(Cfj7HgzlRY73>N^ZMt%8<
zQQUh$VA|xYfa$UWAYxH|8Jv(+fI|lPe2f7bS^*mm1Lfiv4^p}Vfna7F&&}WGXdS%k
zUZF5xVk=Gti8RiXO12MszT+RrC$?+$FB~6(eJki4nl?5Fq}+yuAy&D5=TGe;2H-;{
z?UOqqmlt%!$t7=FoAaQEAUU;sGkOfyd3-+nHXSl5Il`+)A?pGZ6cmWEzQvNNO8qDF
za+9Q2TSM)fkpy!0tmWwYYtB@e34=1p)6D(4<CcOZtD^15XkH`q-#6XwCnx=KcB5Na
z!tvpUDeKAwbsVvQa3g0DvM5^R{t8ZVUGdZ=2##GDSiX35!r*(j;lSa^vU6Zl(~#^)
zOJ}UFDolb65&G1X2DfTDz5ZuE{dAxHO!p0dS<-|WV-+^?C3Rt-X%{;4w~0Maq04w(
ztk4gUa39KX3PulRS`~_gI*{irUB`VM>Y-s!!(w@mL_{N>_#pRf0GpLN?vti=3eY&1
zr`~%)5GCOQ3E}b})vQQv_1M>?9GEt13zwlq(jkld?!S_>j}3q3FM+Os;p$@2%3@{7
zuS(HGOCRmp)M_K2LF`)o+{9qSo2l66{BBxf#yNZPgG!uiVTL&yJsga>mK?;1$~h6J
z6;2hi%-MU6c;@oQv`l#|bnO!cWz#?Q8xN~3bTnxQqy}?m9hwf0KLD@$NG)rH#`&t>
zkQ_o0t-I*c%Wwk=@7?pL;^L>GG5Z3eq0b4D=&^d@iJXO7&D3;EFc8csQW~}};$DHs
zxUTb`Z^K|fI)uThCJ*8HW&B=xe6nh{-#Mn^B-|u8&p`}XVe##g?q6sreO~hhGJ!q`
zmz?;?b|?k<=X-%)9MPw3rg=x=Yx9j8WDJSFRBJLK1#~i>$w2L9r~4M8jCCXDe_X!)
zJ|v??9FA2Q6c+OiH_0y7o|hcK?7Wd!ZU*G3)i7*)L`E{QY<Ly&Ra!Cy83Qdaqa>=O
zTksefVN`Bdu+K3D5Wm(^ZgF_MODA*my&mL=H*-|Gz)vJm%meG6V<iibIm%o1bM`Y2
zayKp<XtN9AllwP5CYU><ax?e1G;k{NL}f4`2h@_0Ps@;4=BmHcDsx+MDTd4CO^T!P
zrXKZt()ht14M=vNmIm{%y*V!Fm@0#Z6#JM&kOYaKpalaV*G&+L#!0m{-hFlhCXhbk
zwd19qvh)o?$TvH?c$Uxvz#r&g(PNZ9#_9TlvvR%356uHxZD7IIs?xuh0CX^vdM)tG
zGw>`J&u_KyED*#*+yLAY5KOI{R(bC4@B5<!6JJ4eKq&R~Dk|fc<d7_G05wN-Tx>SZ
z+*DT)-SA!pJK4b7t-#yeuG?J{yY5Oz1+0_B{{-Xdclu=@FQ?R1pxuCi_uluQ1r>U@
z0)oPUHrm1W4&}(ReD6;JnVFphxh{dX*8}3WM~2mBDEe8jSndGj8DbR`UcR(302Xyz
z5&sU*f<C|g^xYDhwkR3wp55I~V->q=E8e|(h$uVAvBB?jXy>roSDZ{nvb(G{bahaj
zPVL>itFR_fK2J4Y@=fyN&X86!)6q<%$1xJ6B}$0K{~Bq}^ikDr%Y5Fu6<M||v%LNg
zv9p#axOF{MrVef%!sD30a^4qU>}UgS=`;=_hRD26GK{G#|F(}~8WZ>+K_NuFF0X$5
zO8R@bU0eW=4xpOnCExHiG``5>dRt({?oicIzKT=&VBxOP{Sfz)wHZW}<}pbulM88`
zY^RDOmJ~6;y=d%Ve@RI9Po0qN<W?gJ47Q8%q}6F055%Vk9*Uo3z7vry3cY-6Of*kq
z5ZUPZgBeBl3zNC-AE5`yy~c7EBze=ZSihY~h~XGJ6pF-7l$W)G91rFRn4#mWCc-@#
z>Hnv9ZK>Dxd=mO~$1VCI-BpYypf?$xrj<oQ0*AAt$POU6FVR0i)bSaDpM7x1DB1G1
zjZGMMVY_iRiCd}9z9N%fndP$Nphf-V1!<!IN|@LJ1VNH{IIf7YXk%W-5mmP~1B1r4
zfxZo3k^|CIm0ZE?oWP6u13}Te+kUN5WBA9LtsyvEI@QYXmmpn8Gg;b_Cco6m0$~A8
zPgRP0O#0Ggl5%)M-CgKo+seeVR#|QmWwt}Dx4}_5GRg`j_mkyqiqT9gS`>Saq|-~}
z%^7+NaXs}V^fdH|O<Z<<W^<_^uwjkDT4d#jHEiP)1Xr=TMcAT~%6lEhrkC$znKt&m
z%L%TCOxp1Q?KSuYLm{}tkgr<Ahb|EMqE*Tu2n?NbGE5#U%_NDZ$+fElVqLv@*WZ2e
zl#W?Xrx|U|-wf~+DGdWV{UG^BitwVD^!*I}ANxR~ejE^(0Q7G)&F*4<lsid0JU{@c
z{1U-8?*8;FO9Vn*ZaeimCqpGW*U0bXccuDD2r2@^Nw#GfUA&(1_NxlsvJr+7CP<KF
z%LnP4nt;^srHva&aRL9$U*D2It$%}fiiuXaX&M8#t)Me}887A<#*YQ&pOokWF&0rB
z?c8P(X~V69T=*uu<U7096a%RATYrFE6#<LK_jecX@8;re;1B>uXzRLa0}ua}7=W-E
zb^2X2!oQ%>&IA6<TcW6`a%rbs$0^l*C_*Nx2v8S4RR>4^!Kp7Q%6z%md7UxfC*$ou
z$2*Vl7nx&QDE{REzt|><VYo4rh6-B;MS)S^&nQO7>hZ>q_}z(k;L*=MfI=`u9eZ%*
z>&C>cfc^Cv2xb+_G^Bc0?rv7@P&h-Bn-&%1t47&Vex&@^5T&CfV=4v`4gJ3p4?=@G
zlhaGQJq=2CTLJSGTtkiaaRa9Nq9wj9-nqNF-Nv4T{pmpYtyA`(v-c2u_V%o1^(#rO
znii^`ANaysrxh{B%O8xaxkGYIVpI_jrBKN&tiJTzoPbZFegl#S5Qfn}mxHv?(d;k;
zYS@FbtH~V=%zPQbq;FwJ1UxCs{OcgRB9b*x5$Y*tV=Ppp@WRDzB<6F)!+-A=EcQT^
zQ#T)jYiQ*P#ypXX$$64QPni;Crl&k}fv^@Z;lX$S6XI&k0wHuItjo@1c7EzaA4c#+
zjT43zWLy>Bu8DnQph|>6+Z`1qoNfkvVf;c8QQYl4=DuQW&QD1^4~wa6Fc4Wtc+gwf
zR`oV=m5(OlVT@_CFx&H>7g>|{u`#&4T=l8orn1G)UUonmg*Zj73F!XrxLA37tX>Kj
zJMrVoB17lj3&KZ-%(_46m9$8HOZ#*q#+$a%%SKreVS)xze;OHIn~3(YxiaY*(oK_y
zEMQbW*o7_AKeEo;G>MR6Hit*73%m)O^}jLfp94t2B>D_bA?r-EAaflcZZmeqqYaZX
zw@`mONH?ZdgdRj#j3dF`53wqFkrk6B;*#Dq?M*V|&G$A2sRIf1nn<|XD4_mxAEWH8
z5D5b$9sx_f2T}*DKCd;$zl@Rbeu~=zOF;X?H28bO+fjT|pTgpJgeTS*=oH#DSOB5m
zn;C&mZYLcmQb3K?_V+Tv1VS4Yrd%d7V1~~*3YV0SBB;iW^xzfu*ykQ|m5C}~eWt~L
zxM&o8KSn*X<y5C3jfuwm()cMZjHZzF2@w_~h<G$Z3w*IAcm6I9eNOr&9p|$o!ahpz
zPWHp3cO>Je6)&jNuYaeg7r=cCi!`=<EQshNbdQPnaYxBRb8D9Z>RzRjKqVGTk`h>>
zKfPisWl6%935T%CFY@Lin9=_BPv;tcmF4k03UuW308CKuXfYS3mIJ_Xb8OK~JdM&M
z>kz96rNtpmeazsDWZ;1SUU)a^kdEE%jp@(cTy@=Dfl_;i@nO$7DoPkQ!$FNsVRSi>
z768oYH-E&vkH0aZaPzFA2Pmil$}NsMw}7AU-T-#4kj4(}<^Y~_YRw=`mK3AQVx!jT
zrK>X(S{c~Z^OJ7@>np|L5aI;baj1v-(0j}mVBl_d#BbNdmjSYw`j!zz$-Vuhaw{#)
z5QfTy9Yry}joQ6XvPx?4%kjA7S;sr$?*Ej=hCnC{x_#vjgb{1U$F(KRRlA)BEN_rM
z9GVvP8)Hep9<TH8jWJW$_kCwkg+TSPM-rGd_HCf7hx5z!qGD+VOznT*Hc1Bo46+E7
z_{lJjC-ukK<#VY>8ca8SiSo+^8;K^&c3mZvhu43+YNXZbJ30)A`bMDcLGag$0W4##
zle{~B0zr@lCYsurer8EbMsNor$sV09UI?z`EDOQr+?0LCS$9yBieDT(iaH`2-VQ;-
zPpE%Jy$E;xN;Ot&rmA?4_6sNL60-h7q9pgmYxCaGNCh=+CQLd4h9DLjL>YQ5Wrot%
zn`i;t9*Ho@1O44^-Kfm(HG$D04RTyci9ROz6a{Tv?bD~iPwuND!}9v;=_0=cyE!>|
zJ!vtSuz%WX9M(?8j)(G7XQl5OR?)AqJ)gR{i_sQs<qao)>Xo*ZeBl=x>7HAwcmF}E
zxjZvrsYxp9w;X)ERtM3B+|E@glSDKK(R1`nvKpL1WTghl4=oJGVB(G4p9efdXE+1S
z%S8@rBSVi=<1x^X66;QbkBdQGq^46Q{pcD;BJ7J=!aIFqa|YJ?0WWYdEzmW-h$x%o
zM;1)c%13MF!=XfSu4bEAlV3YtT8(R}5w*4#Jo_N&q>IN(7P01S*kL$}9_I?SiwAQl
z$0Bi#xmX-Gj`BpV{a5ciJVj_OJs^3CJnUNQHf&9M>RWejn4Sv0gbcQ5{Yp{0t2Gaw
z{$YF=!;fZvo`|$j`miA&O@m(;qB`u#j`1oQ_IsrNcKR8I&Wy3vmsvDA8wC;P4T1+n
zk<s7Lot-W#4zIxD;HS-BvgX88tuK`Ol#fN_oAEpj*1I8MW^>6>FrpN+uSb{onVe3L
zUF#yi*oZ-=qF~Mvo>4r=E1#M&kzSfbO2{)5!&;0GL~M9h4Ux2Z+^Kq8VLGz8(e{^k
zb_QpL5z=_)t{hEY^#SL+yEJ$U#hYIr;-Gl=xBURyyYCoy#fNr>deIsc7EzBIiq#Cl
zx0GS%8!lv!dc3cIN;Qq5jywLke-n6jc!v>$vNwUmUeW98xa+TR*TD4j7xhx!p@!i0
z=(ng>aE%&^7IoIx4ckk%w&I*9{<ndu{%$>2eboqL_!zo`ST{w+a3CuHtp<2&ePl^j
zEqY$M+Eq^S;hKuQS7Atc@Z=Au^}&@^H?QcZDqbdd0irCN*1mwhce#z|8~|oUESxDh
z!bV#2x&?t_+qH@@6-W*7#%!J_O;%R2x&QHdx1}UpQwH8aZpXa<4*G{_W?7qgCV9qx
zq-)o<yFPr$o*!UB5W3)>5yS9s%1R-vwmFGYcIn~foDi!&Zp&RTjq=FSA_?iYEL$m?
z|B~}wU}q}3mNF(X(-5gD=<;wXf?J!I%Q$`a5GgqfV<D>?u0e<3tqQ!V)ckP88T^}I
z&sO0A17<9n1pyTL)+L9+@pNADOoMtdg+ytB2?~R~J_tmRc~cn!lG$e{%Svk6kwB?a
z5d*D%eX;aTc0G1Qwpb%~E3;mt+hq~up^RtV;C;hPR>SuOEdle(xOMMDDXXY+8les*
z^adyO6x+UQx0L}b)hpZI!#GT)%Mb3Dncovcdi#eB{Agw?ZP@Ox9S(;sxxTcSdk|{B
zpkvRYe1&9Y;1+eQk&r9TA8!mFa~0>GUkfkssB@*o3PPacsiQ@QusjQVl)`0HMf3t4
zEeIEwh-pkqq22f9_C(#b&!hU{@HjCIKm_+tG*daIu_g;t!bUfRiBmekMXX67K}*@r
zv!%(FIVwW3{swz1n+q0B8cr5;c!f8#Ql!B$f~khyoXlJtqMFH|oXA-mFCkfqNQ7{$
zEVLYWR|``u?w$g1WBYLd@Z}Ke{&-=14aUf?vrbSV#3L5q0hCb_K-`M|>tvO!+GD@-
zOl_MroHpo~Us@J5^<}`$kPeZ=ipE4p(-B2#9}}Pvh)B?&VbM|1<<mz;N=rmXN=QFR
z-M*8MO$d_vMJplKTR=;1>f5idV1K52<*{3}mAi50w3nINxHS1sAgSg<=Z6Emvs~Yg
zzh^qOuGm&ApJ72th~8SWLg7+s1mTiXWh2sk+*$+*`O)TF{~qUNl*VUT?0Ko>r&Is^
zWK2_xo2xX}cAr=Zji|_~(vXbwtz$S}J#zqDAn;ZMqTdy818Uc~+_WG2d=M0nc>cDR
zP-So41q4!5?$x!nUIHHBV@SX{f55r|csfz%4zNbsQB5r<f>9N$_|4zRGhxx3Z{nbO
z&fx%?u>;g22PE8nTW0_4#-FW4rQZ>?9RdFr;1|vCgWN?BZgBTwetzfd3Ns&3%q=c{
zw+`M+)cHLiQcgFCZbAb~0bl}fkkv`uLE8io2T?dg{ay|Z4!*v6CrRIelaW1~OvS0@
z)}4<d)}XE*oGDe9!2YQ5@aoU+s=g?eW)J)>t>=eUyf(b#)|twRd%z_~Hc+!JV4Z36
zJb-QJPJ(*uNfg+1%?lXu7qof{?-kI;WHr#sSPe%~$QYPWz)fe}@fN<A<wo-T{8@7V
zSNuBf44yG*H)$I(ZnmaR*?6Y{B%Rafv0TdNrB<)UJ7(M<@y0{aQkf-kud)PPEzD>#
zf@z@x0{jfq+>Xrd3x?WUD(7sbIy5#~B-Gsj6(BAg;cDI15u2*@`d&F!oXo>l6p7KL
zqH5*SFsVKhXZ}f5#JhoYwaR|DI${HhwujcX`qJu_rAG$d;=&4j`TFXBQgxv%>#=pJ
zImqzfgcn(V<gf-l01}de-!lOmG+~>Yn~ef5_un>Z!LYey!1Oy>-ihlO5%yJ4o@1NT
z-jV}Mj*FpD&vK!&W;<yxUKqmE&(2`J5UJG5HZ)kPc=nM#+JlFJ_HXyWPwPzXeg?_<
z2Nb`?WyId|<35qN;9^gu{h>5S@XPIMJGz;PWWrSXVuRtvWLdJ9Dq7|c-@V<%M(5sv
zjdn`pD(*0@-Fr>bWKYr+52LjCEHYpaH(X!ry5@#T6eA;@MC$7m{5*aEDv!f+i-9MT
zwGzw{m@BtV#1Ql0AM-z}l`}i2fUZ*0KNs%-Gc6KRPMtsYlLj{QC8i=FYZ8mO{5Qcv
zu(k8U5h8eOpjRB!Yi0Il*rZGfmc>`VTQQY43vye$Z!j2|uzzfno5;euH3vPiqu0Yq
zWGpSf&&!R>01o1CWFav%G?-!HU*HSK{_G@!P`R*fUgBcNYph38UfSR0n3w6l^WSMK
z^=;sTh)rfyJef2iNJI}UBwIYtkmo`eUuHa)&2wfCCiQXJrhGb6&a0}T;u=*hf^KaG
zReIk2!TaAYh!eomqtafeFTTEfBql1lYLJETxA0DR{JZda%4Jo+htp%CKM?d=Fi$#Q
z6g!GK47|JYZN$4D3U-`<s3}vD_(c+G9Q5BLX%D=kMe@pAeNR9k1*9+aJp~L~@`>ps
zf>d#y9v;fMA{k>_>jIqtH$Fr%*(Xswl>OS6`Hy25v5_$~v-E%D6M-XMRxP>2x@qCL
zQW6)R+E80k4;X6#YZV7t7s%GNY2X!)Ti0IUdY&<BhfvrRU9LUxjW^eUM=&J1^Ni~i
zC3hZv_}oqKjey)vXMj+b>1kHRm*5JoT&*Tmj%PSM-8d>&YP=49??ZY$pvD>n^NGaD
z6F+`x{>H@akcj<%Ex^{vMQjKc^M=NoXSfg|`DmgbY*lvX&}Ygo4-JKv$f^($-ihX#
zeNjI&YPpz~K8=ljs>~)2{e}PU$L3(VX8-bFOV1nXpwo?$3&3A<AANPV0a@fG*JT;$
zhL=hyE|y;R&J!{o2(e08;c;2S*pp!21O!fn=VzX1Q<M^u#(L-S^YGL)H#aj95DgrG
z$c@&cz(gKWWN!$rPMMmQH76ihqViL`Oe&FOW;!#nOb&+K5C#${+A3JC@Onooit3^&
zPI20)73_BAfoBQrh73~u9`Ut_!X3aZP~7wqDB5^5EXW=9I^G2%%(Z+fO;AUiU#nWY
z+r^#}4w8bF-d+I$n`Tnu7dW+$+cpwrhfAO2CCgi;D8M(+{DTkATsAjI6`QDJd-|D(
zzk$rxJ~`STbi0@+bQ(J5!R5>g`k_6s%sLIaAWpM~i-oc4+1mPkb_MjUg#ioh1M4+V
z8m;P&JX;cou@msU2e_BoeWhT0Sxm#5ER$BQwfsh7(zkseD@j{$=3(fUJWDJn0xJw%
z>UAc3{p--WNlj+)()6=+eFtikZxVn5X-zrP_ZxDU6glxRTY~7u2r*CbJB@X=Mss{~
z9M?$fn+G1gWDdt<CVAU-NZ)!E?AqDUAqszlPMcv(7xT*JYCc#3EpbXtX$T_YAZ~0l
zCi20n?sF~cLgPKbN79LHg%3L!(S+UyYNv>09s~f)=p8CC=N{FBL(^EcV4d$<Si$Tr
zG^pzRENXZ=3;db9N+`3=q2HG9nE2f_YF}e?-Dd<ym?%u2f4A!n^w36V*^cil+d29{
z_l;;(CqO+0T(48VuVATnurJe?Sj<~;*nP8&nzD490rLMr%hrFJm^BseXy$;TueB9R
z4#4QfI^@Q`v$&|ANDqwlOAfZNTt{laM{Z4y4wbU9u&@B{ltQef4&V5j$;!>v)Z5jg
zb52|^Lj(K09>LiMzs+)#Wt~UQzOHRYE!kd!_DrSIIupS>;Ov%jM?aY7{==sucl1H$
z=liGPEWkOQJeXit@R>v=0kaj86Jw`T8bX#Q6&%Y(HdIQD29H?7XJ_375mTX`U#m0!
ztY*_z%jKl#`p6=j%mA5dG+-r}T{O?_mv&KEj+Qqq3Q8CD!pe3@uvq`Su*s5=u<qt*
zxM!|R7g_#Yv2iEK=Jk{b5)Fcp2Z4KhcC-B+xLUln*7JtBcsDts(87q#yW(+X-Kr)~
zasK|hBl@xNs+)HN_<Kjj#;$JjkGv|X<&};PiA+hQ7Tdjf4DJk-A3ZyINWsI}lFYq&
zku$tvtP*B?KFl*ld94II!TRj8Y(yb6a^Vm#W&zGqTat>+6YrR#AiY;lJUsl(iJ#aD
zrf5d)RvFYQN@4bsjY`EmY?k-wx0Biuw3QDolAuu%3B3HixOii;#ZnB$|Mx?o_3W+b
zdXdk<q>N+rm~h{Ntn2^<HXraFf<Ytscr@B{3eJx@RVXJip1=<0S>41#OG}!0e`8g|
zy*~t>T)OR91|nl)d?fk&%ukOLX?N4RCGv^pDVZ4DG#fB^DBb~{*E#;bZgG7pSNDEx
zc!Y^@F!Hx|u7eyI?tS}7N}br05;v{YP+CgUFAC--Q-oJ@PemXgD_D&D-A`mVw()(_
zSk80?2rT9$k83EB*q8wMq&IzU_tyaYEgye{abU@8O(7G#2A6D6UUt?xzOp*A`RobM
zHXI4z?63_<VfLLLG+1EeJ1wYthsYm-qMGBw4m_X1bVE4{W<$dOLk1<AKinj7D%1a^
z6LXXks(1u{4N50bB~On_S5=mHy=PDJ&E8y@;tR@d7|-9c&AdU)JRgYvnkZHP15EJ-
z-ysk?+33<-=eJZ_0TvFR(0h;Cbey7A7ATzMEvVlvSJ7|5$RFYa=9R)m6BH`q?cDF1
z7!E?ajhda-W&`$Td7<as0NR?>b&&;LEAf^#0Vhs4IGQUL0LprenykdsfIe_tMf7ya
z;EK8={ij+O^5eW6n45-j0dCV@fE#SCsWD#o=OjQMhAzojV-;dh-!g7>-bp=BqujWw
zO4?-)m&F|S5YFA&N!b=-nD$`+^WS%}FEH_C5=N7DVL`x46bzeSk@m$L>tIQ!&#r#-
zbgpp(KKV#gh=fy6Q%itR-UZB--js%(mW1CD9NBa6EM>jJe;q`mgB`EIbie%Rki?cE
zW!k!h$-;Ky)XbMJU#xh4nttM1=~>R8v){~XaRpA%c{>6ry26RU<~J^>m`}fOjrKLi
z>r9(-n+!sNTw3(2XN5P8t#}JMa)<AKVH*CU$&v)yBK$=EI&^{{)>W{*he{+Z5~i!K
zUomZ?`%o=138RN8ZHR}52k#Suhrw)zUc)t&)t!_|tmV2bJA%lvTOCa`xO=TrwWwOT
z9qj*5y|I^8`<8cW%tmMXXG~gGS65+VRRcS#wpv0FoEbud!vYPNAQV`JWw4gAV(Vo7
zoYPlJ9~G)qd{eezj{P*Tcd(vy7drT=p0a6NEO73hQU)e%vW7cCR@Le`haHXE@vm=9
z$pQ4Vz36;J?k{EXh%lfCINj%7)~_DYAH~?|vY$b|>;0uVZ4u2Y?$)cVmCfl7R=1W$
z>U_i@emafx86kWUI|3K{!m?%0kv3HMLFRo8SX-sPf@hR?TS7r%g8td|k!qwf5t5mi
z38Nb-AEwcgxp_=dj5iyW4RZnid^yAv60T}3Qh+pzn6KhEcUX=>6H-KjgnT-@;^?||
z$yWukwpdfCNKJ$B*>)t$y<doow;^2l-RVia79QpL^LxB6ixGSPVKZmPN1YdJh1SEV
zKl_-Lmqu2n{UfC=^f#PA)cLnzC0Fj2D2V6X60|h_Ucx(j7){H7&a*(4W}9KYfFKcE
zXk7HapYd}%T=_R|vJLP3N;@;UkFcT;DB6~jIS^7AKc~F~T>op-d@m4Sw?UhA4fcNS
z@h>_7r15aP<_fG5(IH^)v3HxlhB{o&j4lv`;{xY@Q6s}ZFnhcK(J|f^#~VxfH+`f=
z*E3C>#hwD^R_cpUSK7aBW*l!cGfPUWZ%0<HM>uXKIF?#owCLY{M@1!pu?Y%T46J(9
zCDxY<T{jDWjCuF(kA-j_kvIal{sD&I^vb_s=thsnd!*^qqjID3N<zuse`Qw3IfjeY
z47poHR%@}Eq<eW|YYu)lr@s}=NGrf*viV!Dn}$1{V~bY15n|q<iBUn+UnAB0lGSHU
z-u})>K;OW?|8nO8byoDGuVgiOM*At*Z%6FlpV(^OFgdZ?>3*E}6>?Y->>Yeh>CuTN
zM~Aq1_kpui0^`pjwHRquR42r$`ouBJ;3{*YPx~HFDSo>NIn<k$v%lc%FNSPDgPuHr
zzGVJE_y|&~sO~xrIzsRPD_6sM;{q1rIkmxHIL&<sU}6neo86xp>l~F8wh!>=y0yfM
zIr74-OhX(+gr-{@63L@s!_rr^%q_ELWJmr)Y~`SoW9yh_dNCk^rj~WL-~(S4X=8Vx
zoJ)8SnvU?RFWMy7qQwz83K>P|%@JC|YkTpc+~1#ZWuDTDCr+H*Tp8qf3O%0ku@3&5
zE{;eEDaC`VYBHgFo6f8R)aaG9Q&}8a8CzO1+8eT%V8$17f1>TnQ%okd+BRE=PDRs+
z8B~EEZ5Bsrr<<ZjbrZl0MYI^hPJVk_JuNn~8e57SfslSQc^ecH!wr%0C_^%B>v=BW
z-puqRY>8T+-&TE3Zf<H>7WXR>p(<NQES{)+aAD%%)hAoJa!86D{${Qg5TF3#oMYhV
z`%p~)9>iqeoBr6Yhs`YwbvVKIueE*)4yV2gRa@>3ua@~pQb9ooSjt5ic<d=ou35Ad
z@H%ZF<3k7pkzvgulWNfRqo>)hx+@p$^y1=zNoc9XC&N{LQ!$ODH@*HL&u4neg{!G!
zuiP{6w(CDjYg;<l-pn*ACoE<{(`RZ$CVMy93m*U4`NBRB%}m8OJUr}`J3H9)h4U8@
z7`8<1@vdQ7N}zJQngdJmMc1*8yPLzi@~+Erux!7V#JCRjWp^ugSAih$O;`+Msvn5`
z0#iJ&pX<5`=kSx{z(bXCw}6K96mq>reY<A%9wpKd|7R-x51b3D#3BHgMUlm!tEkYp
z&mYbR#g7P4Ib)!Uazv45k59(L1OINTK>!yLpqj<8A*dlogYyj$UQDQ=d>XsKW!&94
z9t0#Fb~<VO>!d&dok8Z-;mz{lf6Ip4??XiDA_bA_UjF|6yyQzem6gfS>vNpAQgW&0
zI*nRg(mW>%Ked~VPcGx4^xKsQuxTwUEsb1*sUnQqmPn*}okhH<wsEhePhPy&n3U^y
zQKQ|i<(qE|udAyI{VZ{pWv-J*-!^}Bpbnak9XBBJeR0I?&-0?qEG|5O*=})W@Mkof
z&gIwKhvya2uiR|f)n1IS`P7G6Hc4YpM40PbLd%3>8lk!)IBfq0ZM3IyRkJ~lXLoXy
z%t#akYeD~sy}&#Og<6-H#o%Ne&&3m2?{AOy^(_&Cp+QGW-TLU;x~Jc<|Fu532jP~v
zzbJ(%s@pIV!=*ZiWF{#4Sr+`O=noX4Pn;g<%2~kl`|Jv@9Nn3Ecx(*x6b?1;h<uVF
zvlwG$=3=;MzjnOd=i3=S=vc;!t?3P7h-$%3sXN!l>4Uf3w)?i~VRVnBruaYcMoL5I
zc8U_4*>~s$&Tg78gH<N$r)`{-qbt@zQjBq;rV>ma;7Gu}yNEw4DSq<u5y)Ik0%o9Z
z+>mZK>B)sphl7r0*UDi!gXu7di3n946Ssz*jw_sYlK1gI#^SfftehcH)#s*hAZT~g
zJCXio`dPB2^dJ$<t8S81x$<uwjerAVlOvEawgqyIs5JXtb{K*|LyzIWw=H4`8+f0G
zYfFo%QwfaRwBWcdD1OOa`1b2ydK#CE)%V?)<M1pgX*IWBU-2O@xFsgEyL_%KwU>uU
z<||>gJekb+ZvH^kE;|Q@Bh6HoOPR_;Tm%awY&%Nbdq4+(vczNLm__|B-QW>f4Z78{
zra6tO6R9lsli?(y&MaUhC+2q^{DHqOi?V8$O3+2RiCQ^#6z?%g&9-)R3%<#Bb>dfb
zV9N-CUZf&VPu-VhZo#42pT7g|%N{7@%1|dq*#Gh`;Jsd63PG-K0r~#G>>P)q{SS(T
z9~KWV8M8JG<5q4L$L6CKAVcfFoY2maGt@`}bu<D&C<I76{<$|_hbT)k^pQt+gH0HC
zbh`XO09$2js38&rqs>BBzvsX3wYxkBM`hT8v|Q4r#>URu)9S$A>hFF2V1c<s);*xg
zpWWr^KhVA9Ez5Y%`|dEHb@yF_vDGtor5MkyqVQej;;P-zv9Yer0;2&;hM6OuLW|kV
z8WlA3Hrvg|11+-?;%P%WMI9wMt<?dZYc-o}f1+iZfVVA9H25VZFd;RHG%fo(&mVL3
zXS)s)s+T~Sn__wh68vU1vDN8G=iYU`+9`A?^Dyz;0tFpl>2~O{;l3~+0Wo@qS0BAU
zqZ<YVKNTu5F}1!Z;x2jqCj5ElJ%~(3{dPX4dZm4*uSttONTtPKbKzlQ)yel3KBJH~
zeR9;hH=m)qpHLpBng=OD3-@SXTMWRWeM-st>Z;a=wG)a?1<{|Kezpg&DJ?D5aaHq?
zTh<Yh#nA_xabM?@uNuuEdj^BHV|DUZ-=GQR88EaXctJoeH!IKQaAY(@Ac$slb;NdK
ztqBd7ok-9>`?Wg@bo@5E?athVzr|uZbylWH$^_XmTLOTHErkg>wB5EDhem)A2eRhO
z65ZE!;AL7_VJAbR3Ga)plpm(X@ng~g)$6vKkUs#8W2hz5V^KY_5UR9EB?u!3lhxvQ
z2(yR*+T}gtB}I^FC%Cou+Z=b0@~`CsgF&*FO#NYmLhMAJso5&3nIUF6-lJSa#R9Am
z>q<e7q&8gUPecwj2u!}S_Waf?&XT5qA=52V?P<(#MjgbT8sTAwe*ylQ*6EKVAbVh;
z(E#KvY#c-11_4$nI0uviOAelNyz2shED7cbaqm{Y5S^h(ZNK?(WVY}R)%yotehBmd
z?K(<ZwFN>QCG%B5NcAPyK%KjapSc2Mr+A&^9bVvh4{AOje%3OEB9mBWih(_8*NJdf
zq54lkRF=uz0D$#^HPr%WC4dsY(H=G6rbYz{9!04vI!fCCf(L2`jDqj|z1Vu+<*`o=
z$p)Tv(ttHmv5Rji%C;(o;*WgP1J=SxA*+DZ{}p<;o;-nCF{8fyU0|#rdcFtR9i@9K
zXJ@cYEQT;|q+plt`=v!g9-IAv`%Pr$^!_%Po1j3F)aL3xuSy!fJGe+-DOQ{Wj7wCz
z)S-!+JmJz(k^I}E?FX>sJtqHtdXYJ?Th}FX?Fb%~9!}h~ooAIeRoLn&_$G281c{ct
z8S=9k1q3aa$x^)<@)oK3vrB{_TuQE<+h+d$2G2Q?<%Cq;tWWW$IR2p-n-sEN=2Y>l
z*bs?k!h;3{eNrvS<XGx$)@D@>d5KB8Pee@rEoDZ5WRMA|Xk3ChHAeEb?<Kput<DUb
zMmF|=SVV^i%NIe6IY{vGA6_t_20zM=&TH|HlXsqd=%>lzGR^xb(5XJD)`qp{h`}Mn
z6l<Cm&OWM<8k4{uM)`ytQow!mOB;&>OjOTT@$gWp=an6|zw&HD03KhaS?(xd_x0=s
zu*#wws1Vh}b@-5}$$nhhiz1k5(*~t_X*3tNz3;KwqOB%)cvEGV?fJ6G3OwI+bIZ`v
zY|+jOixNm+j)02~Tz#E^H<#|dw(CyhdQHqVII2H&dR#)@Ze`^*)z|-3Rn}!90^jo{
zsLyP52Bt#lyHY5mS^KBqBg~`g1PY7{YxC5nu-6!n__)I3xfL>8FknE98LF!9PwP5c
zCeg;kBZd4dGJ7%v!{jBgZ>XrEyW5OWtlsJqkKY2LAoSVr&J27Ls?Jf1(hnK|)F4D0
zr6X9b8+)YNeDHjrWwP&PlnoL;wuOop3%s0szZ_Wa(BwP2|NdgwQtTvStbNmLIa6TU
z^t?FD5G}~FW7psT^<~bXALHVSU?)&&3GTgDoO~-~fXC7M?6f|K?^Ir^#nAk>*o8cw
z-r*<kIsc8=@%@Y<0C%>u2$uD{S(tGadf4ErJ>U#Z;KK61#+xUf!T;Hr61)eR<qd6b
z0=YAn<uJK$O_3LObN5XBKuRLGQZz03-}IzER3v}pH5BY6*b!mgAB7)En~)C)(rwW{
zFucg1mj`<tA{k&D9-Gwp@iGXk?ZgFDQz^%e_aD1hNqlsjhe72qwCVNpkDR<f2Lzaw
zib4y_#o$T;x+MP|Ift!GyM?N0n+K%PfhT#|tPW|)f9Lb)eSS@&FAo$$Na<;CoT0xS
zDkpig8My0xd41+Vf#WnJ$vOJsr@&~gqhGI5>3e@A#;>BESl_x*J$ZR-N5Sz<9;1Ar
z>9Gl3ObcX#%oJ>g1N!!<A(F5PKs)cO{*pWJ0|HauMV`sAr=fs6VzcSV+)C=q0QiWP
z?XPQOq_ysx8&~SL(f>Au^~m_qJ6vqxn&^F>gYINK&xYPX-0-!8j+S{o*Svs#l{CZN
zj1fKgx^0?c6Ii~p-4It+ow_A(|9|@Q=aa)Zpc1<;F-4mZ{gjft`lOwjvT?k6bzl{g
zB6XP`3R}Fb*(&({_+M>{;Mj@FR_?#CJFp>9eQm)Ek?Z+mTPN8m{WcsyX|MCBJr%Y`
zq^<}y0`Eczyp||^jf~|g19*2n=9omkB)?+JsgJqt74}bjJ*x*AeI%kR7R?GxB)>P)
z!Z-KBX)7Lg21tUi;su@%!sBj1Qb3|}lK_L+u@ix<RCBPFx_MadHl$uR-wRjC#PI0C
z_fM67{8_J8{t<+;AAD1E=cvOC2G_AyMsZexhS4IDO``8Jjg5qC{9-UvYRd<GGdYms
zJ?Aisc5;}Le@0N&snPspbDw-qYG$7HjfpvhT&&a6KK7m}4LSM%OMf`}XQ1e3Xt4b8
zwa&15cfz*v%b$n<UOYUIxAT5%Aao*Aq=l~fmoY8`dyOjBn*7ZR)Bfky%W@HvUCPd#
zS2Dm8t(xC7oShOv<=L7sLKKBgT>9NKJ9Yrjh>m$Ev22-G5oL`jKeMkot8pH%4h?Rd
zoE0>n2>(20m6<9m7>&3VwUya_6B4ohH4d*+S`Fd=K5N@!=mhV+n^3ESC&4G*9La1>
zT(I+`tmntB5WLrsNN&=%KDAf;Fi^x(sSMOoE8fw(N`Pfmq>Tlk9LUJY=`dOWg)or}
z#<H7PA}tGy_IFAtliHxk69*cs?N#^m%YoW&qZLgYfTJMN@=Agp+K@iEMN<5?GViq~
zV*wLdP<yjNSSHhkQ!Xa{z|oCt;lE(}g$)<MPZcH&2!<syOehmQIx^3#ZKg`~u^It0
z49QXqbi|r<tUfw@7X>+7=-pU-eFab(u6OqkWc?VkIYRYHTzy1wT#pc|{vdq&$_ICs
zZX#-726QzO>DuTkI$c7><3A#lu4-&Wy%A*=he<4Mq9M!b)Wzx>y7bkPJ62B<Z*;JW
z-5ea)hiXA=)DqIQb-=JrV8B^qtd4bvGsdIM9^P*&^m<ow0^ByhDcc}hkALYf?SB*N
zMs@4%mmNn1A~dITK4`0DIGN$Vam;(amaw>Lm=WZc;?v?m4sh+QEFFJza+>z*7m#=f
zCd1`9lC(21ifEvd;cz0=ln`Xl4xE^8#FUm<b26e*Dn$p&V`6lB;;A2)A&EAb^l(yz
zR->Zvt_>-h+Vr^oQOe==aho~QKr6MQiGhb(@@CIA`oz6$NwzSbjY4U%LW2bqPd=+3
z4_Sv`LBZ${WROG21s6Zffgblq`Dt2L|5u7V&T5|!%WD!ZzmQ|${I&!S23J3zEiUXM
znDgE7A$b8Lv>KI~AQ$r>b7FYwWaJii%~^CoBsH6#=pG~%SG6{G8IUa_Li0q*7FK}z
z@yCyXj-k9DlVZ+?oR5B6UftY+#IDc|+kF{oj~NA>T><^EG6)0`{3fvgTbI?Y@q4O0
zX!n<(zz5{8+|Ep~g~b%-gwB#cuW2SKrdK|FFf=OhKp4iPjupNa^feokfszW!$@%oP
zzJ5E$paFYY68%nh3q|Ey27*WU$b30+DX5OuCG8JkQC*nS>mbotI#X78f>H0^AkFgg
z>Fz8kDJdA#_xxV^Bf<fJ<Lj<9eWd-Aj2%P~Ar+60U2T}_A~kJas6KWAU?NupQibD@
z4=)>uVqq8wE!kI7lxjU9-j_iQcBt!#D30mTrQ7UH)!C~T#hwAXUt5)ryb1wsz@|a@
zL!rBsM^_Q^0sU+x;q1J<ycy_81TNoj*2HFgGO=H%^4!dRsg`W6Q$6boT;=~5S$sBF
z!mRkRbblI>j_uxeN0h<naC-z|8$5GToqsUevljyh1Hg^SCw?27;l$0En0<Z{2Fu|c
ztyO%00oe6=w8YiBsX6uP(#8@e2`r<Lk3k167$ShxsEE#nG{sIkz7YMKMuS;jcjjzq
zMkDx>!HnhJ3#gm~-9v#Rs}iEYd(xSOy<a=6MH6UE4ehGT(xjY}dN_-$it272&AU;~
zx>Mil?|cwpECMP{@$=yE{mp?L$i3I}55KxJCJYSr&)b&Bhr>uY48i|%`42Z*9)#ev
zzn_n-?JiKup4GmdqlTLX!)S2x$cIk_pNCfV?M0+Kgyt#!&iYqY<;-MKSmLOcig8+(
zJOO0Seqz=B&zyFpQc9}&@Fk}1R-jF-zk#Mt7wL<4eBt*}Ugh%XGF1`*lECc=Cos^@
z+dV7VkdCC6SDXaHJWw%RtZgLj>2k-`3{=$8k=S;MXdswTvFZ=JhSZ4O4Va>Ryx*a>
zcf*HE|ICF*VtW8Yr_M0oTyDC8f@-D}NnaqlE@FIN69U6@E%fiiQQ2t?x~D9$GC&}b
zCCTwY7Pm#LPs6z&46PUc@nm#we=pVbYWn;4XCl@6t!hL&L?Tk9`Yd2U#NS-IK5|b=
z4m;2En~wqvJ%&q=oDL(JoRgB_=76vJHKzawlzV~YI%U(a9HkESla0x-tIm|JWEL$_
zs!SR3bkG>q$)71cf#PYF8__SzM$6R^0C3p^!ZcY(E*i=y^ToI>d-E8TGr}lAQ%y_0
zin;{V+p&%!zY(c$^~GTW<6%VwXaD8RE!8`I$oJ>vh%&=!0JaCLuD=Dl8>7;+I*bd9
z2D>p_fb4{B+bB-?2ww_B9tO^~EjI+Bfo{v%vKg3zDIcAFLJrD>lf71jkkN$G1Q+PE
zmUk_oTW5k?mDqvx&#yV7SiARQ1{^*J*%wE^CZ4Z>$q(MF&Gtx?Y@u;n6{-0h+|KQf
z-B9UD7-M;DPEw)9Pe|GeWVCATaBd6FqyQW@&)s=68kZg_!Ng0@7!s0ZPq?ZPoTww~
zs@Re}$;I|zP8l?Xt?^3&*_E=ZkOsS9&QdgLxnB?7oh;d$CM1;!V`9>xdLPGSkQK_e
zVU<N^{p1s;3h_IEr#LFqf-b)RyR~=<L>GaCdFS(qY#ZX~NSc(OY4RA^((~h?<DC!h
zJB_qFAfN2Bn4fP(D0p$ysm+NI8Po@<6~U0P*l}iB>O1!1DK!oC_4T~`{93FeT>U+3
zPQ2t9`zIUt)4%^;3-IipYE2|hRWi$KeVR=Rp52<d2;;?hUC?E>yy~sc(RdPDDt(_x
zMlzj+Na877750lDdU+ss^Ss&co6te(;eT`AAs~oCsADkqtF5xqS8BHC2SEC6nWDW8
zBL;*po_C(SBE;dak89K7d;DSCYMbKi;g!h0C~lhHhv{{g8slGMwF44LhEnxyyQa8D
zkY#S&*Ok_pCDsg>@2txDeXD+A)$*W|p+Vw<9=Nfy<#=(D#z^IZggAjMT`m0qe(KlR
z1NW<TWg%h=GM}L|(RBTA+y}Y9uv!JS2+bjJ)dmkCK+h%}o=CrQ>LUrWqIksCBPK4s
z0-0;}$%ye+XCaCh9C}d9jr_>DJ?=D&JISdO<J_c;W&aZDmCIiSmW3P~91kQpD>UlA
z78t`X{5o|jJD)#eE=f0`UQ~GM5dD($?B##x%1|S8ey}~fy8!oX7U`+aV_G-BMdMX^
zS(s4LEHqK=I^KC`>*&GeQ?XNJ$UHhS0+pzqozz7j2RU&Yy6_j-m0mW{7XS4RG&NmE
z#RjW<<BS2I0PuNB%HiPX2)5j#es(6(kbC#hk%)Mh#b>X*WfX<c$nU7nqpfmj&n>)b
zCS&&7b(DGsEX1{H@=C}UVBZUSNI+em?nWkJ0h5Z6eR6LI+tC$aVU81OH{nCd=IPA>
zwS0X(Q;<<D=Ds(V^DeEmuU;Y@Y4c`dCedUNL%sgxmgPlk8C)uzB{|VA$U>;-U{dE^
z6!}7?f}`vlhKXRhI(_jMh^mw%B<0BKTARQNB7yl>&;=*}-G!#<<sm`P*D(s=U#_pO
z#hmFL_p?0Y5TmWuj<kLS#hIWx*R$#53M$un%vR}R1h#PjH+F?LCL@tNqvf@ZP@Z^n
zbgVf7e4G=qMXqpdJnzg=#pB@)Lp)tlOJ@%9hfqjCCz>jfJJWSsKyE{q=;8fPmlhFm
zaq)c0aH(J<Hm2ok0T%9{C#sZkXnZg47o<WdA^q#l@CdmwG;}DlOvs###=3AU9EZjf
zSr9MdY&pV9owuihnV-^Ol<<8412;Z|jOmSCfRP%4HYuis^+ldQBeqUccEihN0iwDs
zZ}&bjYVLtYCite-nN+G;iYxRriCAUT3npAkqi<E|=%HL@cJm5oS;femQ#ii0TH*t-
zYiFrqBw4P&bc@e?LLzo9eH7(G93)fFJ6%yaUIvX=S;(rE&F3GwspcO*#@p+uC(#A(
z-n|2_^rfh3bdVJC9Sm19Rw%YGnLL?gvEKEDz1Bd7i5~ObmyF$wH~yLCi;YQ0L9U8Y
zeYWa~J*+soFpy_s`)>+W1gMJyG<Q9iLz&sACqzIyoY1|uSHWHcGJF7>-V=*1%<ag#
zOaqkVjrN{GIZJO~QedmGu<y~dFm3)%h_*|w+ED%M+lqDOKc5buXCiE_dRB~k4hIzm
zG~7=FJqRrs0%h<@egpv9219WGU+_`kY|UfP|0gX+v02PcC!{i-zeaT?{GKx<p;Tj2
z6PYQ%cY<(0_oacDep_-KPI{LiwZ&&Ju0kR6=kPV8A|=#|Vv{QoWHnT=&^8reOWGHO
zzvHzW7~$@PvZH@YC)3RJRI0Emkot8xa@noRZH^m~)!m%XBPS?O2Qr?jV32feW7X=F
zpXW-C3?>Td+Tf-`wT34JfW^N2=QzYh*Q)yS8UgQ>>cLAj82Z`JC3bkoZtK!wlx(1$
z1@nuODEo~K8b(=4OxRE#E(F1({{XW`RgaCO_zR~rxB558(|Z)op>hdapUH^vUjlm;
zrf_%T)o(=@I!K?KticLXt<nBv`s`_LV%suz4JVR)wDB`Kq(9xtXaxT$zH<D=;6cJ)
zf<*mbWRM~iQQg1H6E|1RX77_t1KZOxkWdti28mTvUCY%nHETL*PxJUFsO@y&HJ4_b
z_H}rmk2Yg%PGoS@G@gHI$5?Yoy6(Ol#aqlEE)NN`I9O&@mT645?d-i;ryf4sl#E1Y
zGwELPaY0{;e_+IXxU1B`Ag~2=SwOcb`c<D@i-~9%J7um#AH~&H$u%_U_}Pb_o@$&a
z=DZM&G|?S)wx}|4FN8t8ZXC2(?M<`kzx_9`2uwtjf%TwlVM3)LZIkHBBo~aMDc+dn
z{#Lie#XO^7WF(#RJ3z7tv}<tyu``(OZ0i1b5s?l>!tUj@*Sc(f&wpb=NK;Jt=uInS
z5E6u6x9I0G?0*2-)R#Dun16}X7pdJaUc)2g6BWsq-1!0oDABsXMFMOa%0^iwI!r_$
z8ohX`mbHIwW+oLhO60zf?}JWlSRxRsXC?O-grfTjc3b6Bndl<CU<ovmTtVbR#>yn+
ze)pL%d;Tb6h#4#bo;>3)r3226X^eYc;UnH{<#YL?uG}ueGp1rU%t8=0JG6l)b}`y7
z(@6y^mW$3YcwzGI%xnHQtoVQ{hQ1PO?$S%=vCoSV1uVW&`O=A0Y!(OOzTX(|rMQD+
zH&0t~6g)`gPj$xSqS}<>`UF;ZNH9R=r_;xTyx4W^nrhDH&4W)YXfX1G$yHgIn~5ju
z>0k8g6>gt(_Ffb)6+oUo4{H04ost$n4bqdAID)Ak0sMEo8;2kgNu}EN#K}*$AR==;
z>p6D`-~gj_=eaFK+b{fJB&b903q><0lJDp4H6=`bGeN|v&=2j#x1HL*ea|thG?^{E
zYtx|nL6T7SQxOdf6!OG8FNWrMyrIb}k+CG?4{4Slm`Law1-pme6y@^+vvJ!f^)@Pq
z@AJ>hM6L_8qHPC#-EgV*F<X@FnBw?&n=9PUH%!LDmgx0aN@RoOH$}9LUve5-kBLF+
zce=L<*Zt#r6Hia}jZ+&U)#;eqTer5KtFfoKtEl?<Kc{yOk4Ia@q%A(ic?;Nu0g>eE
zQjtLB|2RCXw3;7T(SA7&$mn29I9J!!*C&IpevltP6s5qSHl!I8F->O6E8?*uwM=bN
z=D$R<-TaXGWpY(zB^aLDz2^eC48Wq->Qgr7AS91wO^2y;zk?}lOn*#)5Q~PgiI0-V
z=kZHy39EDtkHJ@U+AL0+6c!p~EZqltdthb=^koN^(%*}jvR$PjcLDzmqXgpuZmQE3
z-Y|SSm|#)Y(%gK`)anQ}D@2Yul*!%VXN#`lQ{Jd~P*}NE^=0RK^Lgo4hK{pEqL?AT
zawMEo6JZQiIdo}5;HBckEo3T4w#jYJ>QHeq+Fg>$rz!5m^mJ}Bx8v!BK%ml0xZky5
zV&$8KOh2;^jip0BgZv6nV>AOnyw>!89xPN2Lx<MP!W|zD@Ht`6x&9&Vg|kxO=?dRE
zSvLbF6l^PBw$OS1$8*}S`7KC1G=`-RoYbB-cq@*Zf8L<qL~%vAw&=sqaX+r@zY>GU
zHL-L9&c&He9ayp4pHminaxi={l1&LkQ;=nxm!T$opz5&jEW;p+Ha}SL6;qzcxMNk{
z-1A<xf1|{)^u*X|2r_4=5?kycntv3M{@{`&Tu-tz6z{7bz(9b{R}B8Q)=vg}_1CiD
znUPK3zRZ<A8V)D(esxGmOX{#7j|Q$qE(;pF-G2|5QxY+|y9pqya>PLzOzK|qk2Kej
zFmz|iT|dW4&0P+$rIl2RL?P}1Z8Qlwtb289*{@U7-)wCG!b_Ant5e8c_U{btsl6Oi
zo?eVcM9kJvHEcahdnnVlYiE7ETf8S**!HQ9d?F_E{rHvC>5K~bhXwL>bno~w8q5Vu
zdn43h*0q_<Ap<n{rSo=$FSq=W(13f-)Dk;tKAI0c#-@NSa%>oCYdaY<nd<=2dp7Ia
zzMtSudSP~$eFB6Z7_)Z+n(h5Rs1QV}5K@y*Aq-#tZLs=of|@SQ^L;zJcd2GMC={(o
z6&hE?@<&Spw|}G*h=*w{E_Nf5E;LPtII|*Z;v52D=sjzy1_9oUE5yc;+EP5ZDsP%s
zj-K)C&kM537=vtj8_|J|lvi3Gf8k;D`%BPo<wS?zu03C1o7n}El-3g>H6lPBFR>of
zs@`V%+soX;2?i#IDW%}GFE20m`|f!q`hQHlWmuJ6xV60q3F#6<x=W<HyQQSNySt>M
zyIWeiySuv^X#r^oMdX`2d%xeY*Khc<)_u<y*BIx3$A(sf?8pl_oI-IPT)qee1%W}B
z4==G;!3oQk$2bVwHi=>z)i-id*}89iyBDoC8#6M{!Q03N4$&5DeN4Z6^}YMHZ^ha@
zuZ4wZ3Gq7v786A<#i8s>$%-i33N0nfxJyfPr`qrx2`*TREi=~I^{R8IJOBLoG`R&{
zRT4>jam#nengc0s2yIa8`zAq@@NC;+&4R5;r`70ATsn>NSTlm<yB{xMf{AV=c`#7c
zQ2!zRjWby1Af-SLIlR<NDJm`%eTTQl%$RO)MvkKfP*=$+hTgtPF(`vG^y7x6&fQf$
zXnpdoEUYx}idoZ>lR#NzvfNg@!I}N!Unufj4S}@PXUA(-<mo3&SS|nEj1JkSl%ND&
zebW(W{~-EkYt7rOXr$IcUV3d;3;NeE65Qz8L*plFsF*NmwtK6u8p$Eevo;n}hYYd^
zdAz20#ywwps357z&>s;Kye^S73Dz|R<cwg;<aQ-a^YyE(p)WkQ`uap*@(xiOO}~re
zCmD?(D=AFmRI1Z~&a&+bV@22kWaNrq<=0RMHn1%SGOKjCG9*zFbW*Bf@Ttwsgd!u>
zCsa&BRr=jIw!VVj6on?^D`blPG-$+;i;hLL!05<ZR*~%aOu-PgtG>QTBZ0`(V5dZ2
zW#NWl4$3Dhj(A`?(d#>J!pC`j06A6VaOUDyM>gwzKg7Jey?MKS2bTAJacK-Qdb&|H
z`W9rKnf|)c3ois*`rO>^c5?3JLGJ|EI-GvCI3H7fRi;MhU|N~ny8UWLfUg{^S!|1N
z&a+^^^u1jDwei<ziPr(6Uob+Ug^YGly&F^&bgS8Z6crz<o0Bg)L+cZ3T!#i3QTCX;
z5qj1-{}Vmz*wNH9RHfroSb?Ze^c@dgT@MwpGu;#f8M>T}{u>p{HCiY4RL4ld9lb7?
zx%wkwlDzitr;$+Pj*I+d9aibEWPYFb)hOaow0gN6_h5-3m6?NRTfEZ~T4V$a`an%A
zI;{Jq@bcDns!xN$Arb=_uNXmG8@s4@VWIN(C~-OJx999<{2O}IJJf-0T3R1@dp^#k
zDa(w-7a>UCL7|JGE8{6*=!h>kSg$ZP-(P)xBT`XWneHnvjfCS_zPtdPk?N+j`tE6#
zN2_|<j9pNKBp7^IvRRuyx>{^v+?HM8`v@pJ`P}Wkei*N-039(zu}TB!eb`~8ampmv
z$`H&Navuuu4AL(N4ebJV9psWR6~-IyR^F=0SOAWr76+%(vJs~eAm?+2^qfkdLDIx*
zK^Q?yX3cfesP^Gd37Y;*q%amwi4&gNUB^H`Os+qAnJOJTLFKFk#pyPTDOVVw2ud(E
zWS<!gC%PvwZsMwvG@Ee8NE+4s(x}2F5c|l-)>a;&cWv3oF4)B_`^)fwYd+ToY6)#H
zXLLbU+nYj6bjXUB2wb}>N<+D3KU+P+JC4SHzi)%$TCH6D{D??RGR*QV!Uy;Z2+VSX
zk^&JNiISX(Vw2;-$a*l9a1(g8EnFt6P64~!*NQVqnbUr2qNz(izd|nYmSVeL34PKy
zVK5&J;(LTpw7`U%3ZJy)GyrRR_XVA1()U&o0)Y-wm7?kSQuJ81vkmiJ=D8>I0%iyd
zQA7e4_ZA7He>EdR5PB=DsOJ(&G8(Jz-k(+qeTNc4>Wikq@Mk*OUyMbLK~JOVUHPsP
z6QV`1Ulq2Oh7<rz>>ScsGe7WM2MSYzHtLMYAZDC^`U0&$gtlSx#1{HvAw{4$<TVKu
z?731)ZDZqLl}?#iMMhCG(XcYM=ONabPG_CG6zHTC9R!k&bTbEC(D~oX<Uh2DwK~`~
z&?b$VmGa(~+5`U$i(=93QyQ1Sb&L*pDG>sBGe_CkP?j3Zi4CHF{{>+CZEtGI4fJAx
z%z+9FD3_Yjv?%>?au6v?SqS7+qM5+}vt&Al>$Y>QThqL<kGqqH{GRS|Q4*Z60iFa1
zYh~bv<mnIkm-G<;2N8u@8?i=dh7w-H%>9!uLdR0)2Snq(E$R{4@{!7>T`*ulJ2ZWA
zU}j~-3NeIy)VI{7c{d@V0|j~!rBoKD878JLh)rpdWrBJk@Sde)RG2E1Lddif(1v7C
zc!q^s%<_Y}8JB0o50_1>=2JHIsYX+YOR{)D2~w1=Pt5tJK^fieol)46h1#UL?F)cL
z@a_GvZ=O*sf?%P$;0;uFu&5j!9o;jVeI|DV*MW=1uNG)Y<a=+~(rl)&TVrAoPQb_$
z=30n!z<{X-fp3iP&Bq8TK2gL$V@rwG-*S@@Y}1Ta_TAVqxazIVKEGFnAZS}QS6t$C
zApA_7Eq&b}+cFvOjcu9KnbrxxLDUpG9YTWBL-?Ncz)5r1H{rKu5m2^Ub?h)1OBbzp
zf66U*&XQ*tHb)=vvzd)Fslw(`<oh#I+eO&E!&DhGWxLD7g=<_BkoMTVPo%g)_*yi3
z+d#9oV|d(77v;c6p_g01ccI;w7*!j!{Ra<`)ZZV5Jpe1}RUfTeQj!P_l!=8J3lq)Y
zVtV>=0p4?eP*<Wi3keC$+Pm$F9)q-BN$dra0^5AGWyC}-m|gEb7QZ`X^!);%hb16|
z1TzoeIY-TQ$?G)>)YhVj$Q0F}OVPo;rXLM3qQxPJVUov!7$i9b|2X>=TXl;G;kUx4
z{<!_N0+dn47;8u1n_r%AW5dS6qHzIISNnymbONlfL9nnX+s0!`eFe)8(_k?f@%nld
zXu%hu0Mp|yv6PD3l>>9Ut@otw-7p|t;e|jz_k<goMTQw;syAS1oR?3l$ewc72C<Ss
zVJEk*@=k??I>+p7XvU<C9{_g*Z#Js2cVoNj5`XG=wt#PjavLb2C>5CbNeHPC>4Uub
zE)@agSoA9Z)-WRMuBd&P$DWTU(>Ev4-JbA+l=aHTz`4yx>@5R>s8|B-ISV$gAEi0U
zGi?aB^^n}kj*B(M+IP)1wHwMYA<`m=*z0tCJ;)S@$^uhJB(y7@sX0!eD2J$A9~1V0
zdmijvKijlydmXcsL7MfAzRKTpW)ALsf68H*(jA8tyXMA5Lv+~l2e`ozRw#08N4}9d
zbX@ZZkJ;Dq6tKCD&!4^1I}4JMoD#kw_X7>J$nrHrtCu--ypy>K7L44%(QdiA{Fd~j
zOiS+%-YE7@Qbxy<(RAvM**va2dB4zDCF^RL+#2~HA~ceeJEI!hZ&_eDSa*jO#K<C}
z%Lsou3?e2lo~nIXh9-JlAbCozvy;?xoL{OOg{??m9jFTBe8k5G?XQThDCli&M?hLA
zKYo#A*r;{uE9n2taqnQJtZ{LcryWs76J6TGppc2`-Jw#hnz#*&f2hiH)7QSv?~eiv
zj7t?Q>7HcxQzKIyRuIStDnzU=%%XF1TKU3bY|($+G(#f=hc{VOI><S&UO+c4?9dQ7
zWO104d6fPn4T<`q=;C3BTwdjUN;vvlS^kXIs1U*S+3QAs#4lu)!B78yRBf|9b>MWb
ztm19MBq%tI2QUf~4WjE!iGc7z0#wyFVN0XcEad{N^&@A4C@5oW@}eYI#l%>3D2yx>
zQPSX|q^2MYswP5oD_KjrQCgfd5`UESpu}&oMG2>E-f*$`VbyxHk?P{3uS9&UVi2R5
z5$(3Z@@XRSS64OprQa_Z4A1Ibgy>-&W1P#98%F?zc2_ctHsIwb5Ohcp)cd_^LG@b&
z+7G$M{lt%8_W`OJg)|#6RWQKy6-dTzwOXwbuVE|`XyPcJn(L0#^u30}i9t$iRBet|
zntaU_g~pd*08s=e5!aU)o!Tj%!2R`ixt-|d*49$lBLZm@vxXRSnL%}&CYIXg9@WM7
zdps@PHKO*P$<<ZYE_4w<z9M^@M8v|-(9q3|10m4nWvg6oI`V`!{FZa1B;#wiv{8o=
z6g2^Bm`YZmNCnxZc>dbS8QHkscJjQu=Dn=*ZOUglyY1qv)!6-K8cCSQ1dJfMC>e%_
z6f{(L91VgVLKvU8lMu!j3`TAklN8A-ak5;5UYK}<aI&y}flL&&o3`yoUA~VB=0w(8
z-qp{duKMn6>)CegymrG!HwLS&W3FzCl`4(h-j%nyp~FLg_TR})2kXNNsLrgnx8#WG
z8GxN_Q~eyEa8KRZIjN0ti}klzuRDO5g(x=9cSwjoG3D#sc%8bE@8P11F!w}pkg6k*
zWq}p*0TUvGGDlt9t<||WT4R4szum18JpeY1hAJSw8<=dz#(*<_g}C2_BQn3lV(Fmm
z{AugNeWxb?Cd5#u%Vw$$w8BC|@;)O#PHz8z>Z^<L_t20PIfdkSfAL>VS+UNCWP{uX
z#Rb9C9TC_fw1a&Cw4$hUsZTJ++zOb%C>8rf<~U*Ur~4BndHC-|n?=@*X+F;0x43BJ
zSj<jW_T`*yO=DxA5%M(D*R%Ej@zSG28WZgo#2<T~);+YN6!}ALc=a$df-F<+#g#SP
zlvZvI-Mqg~{N0@(nTd+tnYqGPdX6jHA&c1hcM*TmBfdAis-=t{PzK0em&0XOaq;wM
znJ{vtffD)U&ew2|BxSJa?p>utyyAjbWXmLoSu6GRnLM@61e4p!PLZI=T3H-ODENdi
z;dkE7j`DcoVNa18;@QzJO7AY7m6x!SIZeGf%DCwq5>c&8B|KuRZrv@#^QNSp#6D_m
zh+?3Bjm@@Kdx3>M!bh7d-l!E}R-q$3RFJk()5KKDNl+P0E(ylUgxR>&%eNa1Avt90
zbp+uh!{jP5#E{*Z=6ZGkKPS*M2BvA181b{&<s%U?P;Ez?%URschaKk=U)7usH;6&w
zm<4%i@$uyO)t67+q=gs!yI{}+K1oNOcp+KN(>HpJvMNQ&+!*}D-!i-z#`RIZy$ewq
zJ)yRa-L7@WV0OFw-fQG$opJac>JE%JhKWD>d@d1(`ulR-9RA|pJj+1ep0FNO75X6}
zh-NM!>2d6huS36*Tz(+0DeHd8_eb`Ei2NUaf8RVFAVUoBhCrJuz<a&_j7mCCULyEG
zE~k0Fv^;xWHioH&*epPVe8(*HeKCMIXfLX35}40IpwciVytFe@7SG(4mzOUnuXxAn
zz>2VHL*-?zo3k!Q->3L)k3-?xM*<KKWh8`JJG=AX<KUeptT7k0JeqAm)HU%+t)^^6
zG0qG)GPcL??!;T`({HZAt>9s>$G_UzIu<Sf-S8g2yWbZR=Ab2;vefNX$$7!HYzovj
zUV4BgtCu4c$#~rppN~bhlkPou*wMz+eH<NYft&d8>DWb{w$VZppd$QUnK&+E<PMvL
z9i}DIv-$ltHp!|@|AgBIIxwP`f96mI@TiAGpdI28%2DPegj0Hq@l(|=?iX1*D5n=u
zd@1)4XOV45Hg#r+yVE;VI<1VXTmo-b7?6nSYH9!vdOEv*b_B0ihI|v7L|8+rEw3G^
zjdc;Og`J6D<omfS-rz^}*+74vjI(b<6hCxKtuZu7ROF~p#WabcW#H?sOrg4xk1{;t
zogomjjuT;*@FmRlQh(3M#(c_s-|XdnA#2}*vE(0P&v;Vo<U0%rGNJ3wUl*o&c>L)q
zXF@34oZmdjy=ASzFcm#xSeITbr|S!7xWCKU?u^&H=E<4uKO6|hs$XTe`D+~-vnUDk
zVcN+*{0uqhq_EY1Jp&$%sAIf*jBV1c5mku2NE6$v_)82+9Wusxx%FJb8Jql*fvPov
zKaZ#y<41yK`?YYxwA-P%6RWG1mc8CcSWefy$$Ur?19hgH%uWM#XgHGyqfI{(ddShV
z9md-bB@a#-!I5Ed+0C-uB6R#&3&suE^(1cR^H;Q{)ytshQ@ktIc3u3_!YO|hw;<QV
ztG`*?_o0S(pgw)%rb7ycv0?-&_tKj_6%hKy@3k*2fhXs49VdSDm4{7KwAWgK9hIj9
zMC6@>3G--#!#Uxz<g#ll5kD|2+HlNk;r=_xx&d9HVRuHHVm6Ihjap}8$@ImR3g1-7
zSg_9N0wS<2$*%dT5lZeBu_5OI!+_Gi-gqYc!IJLTEnV<XS`Dilt-E^Kfs4=gPXnt5
zGvq*dK-z2~W_ESr1`O%||Bye<9-MkTbKKFJ?-XFT)}jK;gXPv-V@)T2@lEjv%?(8b
zy-DK1=03Bhw$NSr1Cp;<H~FxeY?InaTOND>mjprpF?(Y_MH1V(5UWm|rr3pf-P_xz
z^-X^QM4Wq;1AS53CS%h_Vz+NpWzho^QWA=ztxznkw+J|g7K0`xKMoA!it^r@a4zU-
zns}$rpWcRz7&`Taan3^u{y`&`vn^=F6!I?K9-rT+Q=LK-6{?bh?YJlu%?BhlkH{uJ
z6d%WvOA@J?IT`XiXc-j_N)^v(fLizFCPK>v#jd;^XG~+Yw{>l`e<{d~vRPeO&*aEP
zZB&X;#UUhk@l;UC2AJ>M%34Ucp#;nLqpuWmQEA%KRKpN(x7Ta{RO_((ot09<PtUDZ
z=OZ}YcW>`c8urR^KB~-l<)b(Nzw&(}Ql*OfXGWY;G3K|Bo}Caw0ld_!xTLZ9r-Ym|
zI@uAq$`gl_sgbc3;+6n|47TDmlJCZPSRx=+*#dYm7L8i5A}~#M&F{qHhYwz#Qt!xF
z+e*M-^}wqf9H%Yw-jSy0p?VC(K}hEL;H(Eu20V02jG)5E*`rsCtc)*y#TX{Z6kU9@
z9XSm|-vv%9zDbag{XJybvgLv@Z?y>&N?qN~@e5g603|~wxsnm3l^@6SBszS{l;hFG
z@;<Ln=qE8Bwz{qD?f>%vq(W<#%a2ncCB^QpgqK+oftBxk+_UO5!kF6ZNUv;+03y+s
z6sDF_n8JQ5!!sRrvvTw52%4nb!*96>?4Blg5+^O(dx-Hxi<6&Q{YopKY}dQ08Pd3&
z^}>%`+FDynlR(-`oQ0f>k%8ftS10Hz@ys92g75pwk->V@rKzVkb+f?~rB~hD9Ulf<
z=|HUkKd)YO0M13om4}a`&s6ZK(+`W^!QjXQ-g{ZoE>le)3{BNBM37b9b~$dIdB55G
zY2CQCwWXI)oUIUg+%hmxro@8Mf5Rv8V{BA$s$y|$voiBtbcpRbZRXkKRUIn2UXF^Z
zCYR~kqr-a}pIiKR<t|`WpZY%7c3!!I3jYd0h>7xIj)|~05k#ii@7Ipo0i(fZ`yxdK
zu)o;wE?bsa^4qv^l&Iy%BnKJ4AW+OM^i<d=e%qPRNv9lLtvBB(wt`-70&7JPDBT1#
z=XT9VXSjtd<Cfm?dLr*{@P<4m?*XDYb%JKuhQhRaySqRJxnI#*7biVj27}Ikw54RX
zZcBHp`gOKxhUGqM!B%fjxDuREtJ#}&fiyA;?##)K)#Oi{9r&p<L<EJ_IQT_c6j~Zi
zWF|kZ{~_zBPeZq=AC?L$Fss`|cyKy<^G@rszNE<c<4*ss)iMBDahyk?r);oovm?9F
zn<B=642Kcf)=SS*RS?0s^`cBkr|B&{<~sc4bOkLr$0BY*86;hYJnr_cyi!f}G{`fD
zz9=Fp)2s8}S|kF&FgLL6rn8xD8m6u05DfG{@LJf19YvJh9o*f^5z(fOKP{Ci9U)_w
zIq<7>55I9PBIK?d<A+7@r!tWs&>pH7&X{`>DWSt^goPtH!q$$io-j5_R{LXiw)x4A
zc-=fD%8)Hnh>a<o<BO3HY<fawghT3w+*g`ydq%-g?xl0)w^8k`7_A~mq!Cj{QMLZ&
zM5%@;l+xEUNpO68HtYXh(rRD=;#QheTuQ})T%gAY%KA2aP2J4R;W-(XLxRR!_>kyY
zPeVhXJm37L6v1v~t5?k^zDXG#PZ<PYX96glbr3!QTe5f6!$X(7rrOBL3{$x$#{pl=
z?o4$U7hAy$k~y5Ez}ra~;i2dnt>hqKbl9p>vtn)?egy4I?tE!{L<Gm5zn_%FiFmG8
z;>lyD2zig9WwFHp3>vh$m0-}Hn-{5qB$W$~*e`=^7hYc8uYdQcyFsEAFiAj>-F^4-
z(|^$F(`LU@kT|t}2F$zt7qZa5oDW?OyDvn%e=m8|p&>vAyz+gvwf9~JpxpTXsCox!
z(GmsQ7a%uo2qyl$#D9A~13;gt<{e-UJ*j;Cv(UbE%LsX4JiG*#o*!bL@nVN#`R`U(
zr}=IG2kZvz4&h#4jq|-Tl%V-kxuLBs0Cc#tZ;qNMH<;hN3<o|D`wcuWI!qzicMP>C
znZRqLxL!yY-LF)YhB*KkXVhf(@t*;c6uf8bFzPZ)dLc!4L!;L39Qw(yhZW;k{!D(}
z6H1H&O3QQ-in6!kMk(g(S1EhL7oB#$7hfh>v<J}9XnT#B&8Z}Oh^f<26Z``}ALT2d
z1n12NhRJ&KX*2EiNVT8B8;Ir-9M`05prfuz!z7oUsn_GXe`BZjsEW!s3tutbC{t+o
zVfGZpvg_$B=+VT?W<_BQh#F(7sC&yK#}=F4i=3-m$~1&8!Dsa~{m(zbS3ZV%7WJnw
zinT_sJ#s^>k6($C1Xv0|Bh;ZTYeJii;2sxegvyaZXo`?2iZmrE#O7Z|v(+jhmQska
zxnu+xtL&Ex>z*qq<W*s#+J@DbgkYpA5ri5({3xse$uxb19GeS1+{+5u{CI8DMm(&@
zWRhl(GXiw$*VO`<^r^D2V?A*e(EhMF0i}xjJ$Q&!uVA1JaR#B$X#ehdZh?*bb~jS3
z<K{01n+!u!+F{71idh1p4xj5iAR=7)0_HkmR)*bIc$xzP1Xa<B{le56T`XmIOgIWe
zO6NK@+d7X>Zq{w>+N$cqG`Z^aMA;x`$D->W7I|#)MM*@7nrs0U-yJPklC4rO-~ow+
zYK-|tf(LKiR1A_%H!xE2Vcw1~M7htzsbKW&QOsTo0~&B_KlQ%3g!qSnQ4{!xn=SeA
zj<zc{sMX??o6u5RS+OM+C*u`klS%JNm+~QvefMm<6}9&q*Vc1&?}33w)tS1PYE2ax
zYVVViahthF@zS;DffHksk1sm6n5kxG%`GLivA1`gsz3Nt+qlZ_vJgWqK!{a0;5e_G
zi&l}%<@U3Yq8CHSG1GC%cHPg#?jQH|XE%3uz;`s&<eb)vct;+y#}xy7wn0{IFJy&p
zU;Vu7?WY~Hi2vjfN9;Y!fBpCC1(3%Z67Tndq6Xpdh|@NDdisxiR|6o=0;qc+Sod_g
z{V>G&@1?8$?g{*LwI3kVvLYM1y1D`r*9$`S^ELJ7>r?&bwxsLL3%}+hCtxAq$@Y6(
z-~RVS|KZC^ma0uWpnHgX<HBM)_`efmbpk*cFs6o=AQbcST>SJ+eo&<Sdk0uY*x~>!
z4N#C;F#e;PWLP_T4ep?O+<Sdp&+E7dTxx<!R?-%OE!)1u5I+lWiGu*Ty^9+nPxEIJ
zQOqA#Q6<Z#ohgh<?k1j|p5)_Iu2T!DBA#?Y_$6$YO&Z6M;!}flcCv7pt*3{!+qvX1
z3I(9W{=gzGcYcb>*xHm0|JCea8!;Udq$dO$$VX-gkX;LO?UW-=)MW?JlI^MJ$2TB7
zE^X9Az*%1zg$EU<26{vgd&VC_;)`EP?nw_~i0Ay)&=fMjgZt=O!9CEADGx=mq*G1+
zNmt-!M~N<@2M{Y`6*`hkGp0=8_=A8joE(WW)}7tm0`l*K!<zc~+a@*%M~QcDAqGOw
zjoVt<8X8;<-ys_<g&93V8-`Yacm?yu?<Ke`UP15`tqJMLaRbE0+baL=^crOxg2Y=>
z`63u*!lX4$3q7eiGJ>blT|HBb4G+0t$&tWZt+M(%Wisa{Z=0ktui^ZG(6=Ph;ZV)6
zG%CYXrThuxx4NrSM5)lO*y3mxY!|6yuCH8+lUNk7dYGCa5Y;Phs39ElLMv+B<@Y}Y
z6PSKczeB+{U<2Oq3{t6R#5GpaV7?CoAN9JO|M;nx5O0j<h?{rSsdb%-3DsYXOt5mw
zW0VA2Oq&&Ae;(g^S#hm3vs`uWL7+1;>mDwsWSet$<ia)M%$9_NR5=$rokiY!<!eh$
zl<``NO`_UJLNX9a_C*G8r(rNEiSG!Hz(3yq;PvJeTR3(Bep<f^jUf#~LZ0a)KP=FX
zjV&JL@pz`|(nS+EiYC+ZJXZa84A|j6J}rFoy^7SYSU!a~09eOM)z~9IwK_jefp~cL
zpHUF>e#vzIGr7$K+;)H*3F!Vi-tF_klbZ+NpXQ&>ye|R2d++X-Y&wt=Lv~*N=!N3?
z`wZ}$-P)ge0b?@u-;Y=@b<8<>3H!ZpVSNA?s9U$EJLP}hg0CNd(m;iNCI2tSP1oJm
zH#;n1$@Ctxs5PAg!S9#kXBRGlyT>Pn@nCdtRsNI;yZu2k<t>D9qqQ?75)m@s__wE<
z6Cn_Iv-t-q%b($wF!W<W7-DA@ds@*?y+r-9YRbgsKP6HPUdc((YHl>QmVIxLnf;yR
z8us?L*ks7}=3I+g7nsaajqpD84u=)LqTlWqu#rhL3B|9-VH5C!)sWf9J)cIz5O3rN
ztpk}-s7#e*oXR#gdW)LZw2rVqJFb5aw0~9_tl5v1Wh~)zSeO9hIQ*UvRZRHNf{_nS
zjwq@Q{W^bUdv7{G@G5F}&$1}NR1?D&+}|D>|A-gamB41S*h~%8t%c%1bmXVt*mktc
zXxLc&Cpc1u?@q2l^$qERHMF(q<(O}Zit^j{@8xDcCYTr-7ck*AK*c>IY4V<H_f-(o
zE2E4As0PdglQ8tQ%)JiK2}_$&e$UoBX}bbzA^j_iO##rCS<>ac%~N2|Q4vpQDoBkL
z4+Oo1sSHb80;OXf)A}B}Bk|;69>;S<I}ge^Vy49ej8G+^(L~n8CNiTUG~;@pa}pTF
zYE*)^9QHjKKV-2sFhb7)R@R7}i@tf)xJ|oqX~*3uC{Zb2eBD12DQeAD5&b7*X&`N3
zEknN7jop}UT6RxK!@4l*u~jSO>inF8kY~4zvGZ1XNCO>q((I<oPPJ&kgyq<+UHnRE
zRyf4<j!q_B%W{Zps2x&2tN?tb`=7qyO?U<=n+S9%SE<xKouBbtWdDbO18gY(uY5W8
z84BLtfHA<==f6k)!3~-(o?o8Cl=uHp4qhUvAP)E&pv6D8Q-Io$Z!h?`ng{pk8-Yi_
z|NcF$|F8S`vHOLn4v-_$k#D~k;=L^0e~Lc%9`^z1`-2{z*RLNzJbh0wck&~r&wklp
z7={K3d(fhy7iW5gia8>p)g#5fjJa4B!4#yxtum_z?CRqyF8q6Ay{ewD_^Q5^qC2?}
zD1$L*(mkQuWEQ9}>LB05_waKp(IG7qio$Gh8&DWvxO3D*j^2MN+^2}xlE+~`e8V^O
zTO%VLlQ9)F5%D@|6*;Mz8b8dR*+00QwhfkshWM>K>*i{Kav6V@kCm$_SjH!L(kxLS
z-1tJdi0lw}Tjeqcx3oyHKkm6ZM<MgWBdC4G+eq8+*(L$f`ki**HuF_7vs)_fyd%MQ
z9hq%Zk>;CKC~J;{=y;1bUrcFQ^k5wpl|1R<;Q~7XVvmP!uN=M>r+MZ8D5a*I;JdI6
zLrK&`e;c~NgF-&cPlzdI#c&Wq@?3Q2w<_smLa=i*2w`zh9Rx8cJw#tj<tuN`&+WRm
zfz*Gm2c3*Eup4|`wuPh`%N5y!WRc(yT2OW3mvT8dIcd~r$C3Hv&Wd|mI}iiPuI82&
zjs#2J9cApN4|b`gORKMdJQ}gUUzo2_pY?S<=aWHza9?a`rb+d_T#?;mRkYtjv7875
zW^_Au6H_2M)?z8-<dtd4=O$tYbR<0WmX<TdDTKefAOT?omDVibD5MldpB+I^avX%B
z5dy&ssZve<*s}Vi*aX}*0q87IStKPx$%GD3CZCEN0o&-)A&2Fw8RoOmNOKM@LBGEb
zFx>Op_Sg~b=emc;kJ(=Oyw8B`^grkedr#4)fscO&fPOhNG<5bXn^F89{0T&#o7d0Y
zoFdF01APat_Bnd{Av*K<1}yH4T9w-upZCd$TYtlX3-8M{8SvNuNqdv*yZ#==xpjlR
z$RV^JfauxlF^nfbu&z(I+MecVJt3Eu*KLvE<X_KLt=jUNt=W1q$H#kTMv!Ho<f1|u
zQ@?n9sEMqA+D8r_A3>)Rvkw#&T0V6>{v+u4!8y;hj47HtpDU(-h7P(g=LmG00*GJb
zLh{`)4!ujO0tWdZt1^t4;}}$Y92Q9)!~}T(kDkV$4>!2m;pBU-Oc7ad+N6T~+6S6-
zBFbZEw@7BDgbZ{%cbc_BVH4GNn$>u4F!B(w;4m!HH&6RSbFN)qR&APINOs6c%2CWW
zaDXX%zaHfaa^Y5YOV(%er7=b<Z}wwgIk4sRQMqYECE;WcmGcXrs1v0P{eE96oPDZk
zZl-SjS{ZJ#_}boP9w(mv;C^Z_IeG(>De$7;COpyNLSy#$v$HY5G*azzrU;0bN*SG>
zR$7Mt08*PF-tKw*t<ONc0F)F8;yqQqof2k=U(BKZBG0Z+--bjN`_3&xMp<Xfm$?ZS
zhG<f?CWCZxdFGnB9W6g$MGlzlT@2-{>&4kAXLW8t$K8PfP+QPuteL{)Mka7iHbP)m
zh;mU)gxU(l*~Zu5mQP~@;izLiN{GxdO^DR2#AvU=EM}7{PL4mCV0+hp&NSVOFYnHF
zdCg})GoFn6iuXAIE-T%PY+!#MWNFO-QuYpB2^51n?1&HyPc41=C<B?vDxfm>f%Ye6
zVz(q=?OY9=K!yypA&Ii}m_nL`DE4UT&Ymt}__1s6=X;CF@E^kO?Q#S^6G3u(u1D7e
zy}*Fi4)^lqfa?b~a8J++dG`b&a%b=CmG&SY&OCE*f6?;v1y?U^(hThq;huMmlk~rf
zVHW2HBqSu<A!_#!N0e_;+qZLsBHX)O=)1zn<(sI+zzvK=={$C3(VI8&C3XJRnTaAS
z>yh!u-=OZIto1#%Xhe!oC5E<9-PsZcxz%we{%wGib<##BHasHY^bOF3EZEjoR>Jo1
zhL&LyT0KBGz`W6{ezl*P<6eO}BQ{F>!|5xhIM#A0UvmhY2|@CHOi((<M8p9e&tj4C
zY&tMp0HRCi@Lu+f7O(mb0|+5xrYFo%jDpI^ELM}<ys1b98n#E|4!MZ^Q;228{kqT9
zr`*P^jg5`<by+xGy){&tIvT3_Bo<!wzvZjiAf$J(#k2D!kVFH}MBrA|dHGXPAcM5k
zN4)YU4_0KbM;ZR%n=X!0$;S;i;<M!JdCOYB1rbwYv#He>BLrW0>~``odMJg*M@qle
zpxYt~6u4(rOG-?_v~COVFSjKBp5ghVYTOm$!jsK}+_~j!+B%wVCvB34t!yUq*7n9=
zozLR%7&$0FLnd8&YF&73iE61QLE<TmGqS$7iVc3~x@ssbS;q5Qvi^8a*bJ0idTzM!
zmuPnUM22^$p=cKvS0VlPzWqS>7GdPO)fH#PbTr5qx=KW&SS_m|{Vs+&lT_QHGy3Jn
z`zi=Jx<h4r!>*B9Db&&Uan-13vU&wWxr-ZoxpnZwv3prTUiuKTlV;^H?k9^h^@gsZ
zq64rvg6(mo=%&#@ZGD|N0S~>%Q0(BOP&qcRZt)`JaZ|G~C1o6D-Uei=RX=q(?`$-v
zc^CR!I1_O++2YF6H!L*|??mP|soS<VAbr{B+?%!AZfS15&$;g~2luF7py2}mBYZ$y
zPPue|yW8jYHCPKH0yg{3?Du!0^ei9G(qC2oL8vzRKMNwrGypP6Li`OGp>B{Zu^A*c
z%)O=-C9?i{l-$}HtufxURc9*w5MfTY1^XRkMhiNW5W+dSHGy#r^bjT)<e{qBI50*?
z-rrcw9pWRG5_MdqvL5Z2`X=1v+zVN5)@ROj6G$~TN7JC|Lx}CNo<lOhjeMP#TJcM6
zB*#yHu{(X_%0zK@E6zVWu@tp)eji!rAD8N0VVt4Oj!)HR7Zxm?Msl9YQ(aM!R@{oj
zM8I)-S(K+#=aD4C8FU@IOm@hNT~Jfi6E3rLXOK}Kzp*|hLvAX1dIcQD7ovF1#>U1D
zSD#ra@qgd(*t7skfOH>a?TYT(ro3p6ZlbtGtx4BSze<kHl`!}^s&(szw*~{1PXkV#
zVO7Nja!FnbWKN)XzEYOK+#$3=AyqncRIYSJQ-C-UQj9tXi=Oc>X#-uSiZw_(j|G87
zRYI`&(`ltJI$xm^-hWdOIjYAmXka|3SG|3WM45l;yEh>$GG?$QL>T5np_E8>)EVP>
z*>RgxPKBjc{^Q^558hxMdULW2O?<mc1E>)CYprC;)YZJCR-`y9J8MYDK2s?IrkI#b
zgvp!$D`H@)|MoX2*;cB9rQh|peB~uN=#~Sdxcr87<inYbYcRAtLSjQ2F?ckqAJiqn
zw6Lb<a+hh{c_mV0<};GZg9eK>-2NnIgpr%G(0!R7aKoIx{<FEb`M!!BsO-|+r?2f&
z>7VL9oO4Y95@)1+c)o?TwJhqNMTaJj-_YoJ${`bo@v?(;HXSv1aHj2@r_n><+8MCI
zSjv!^Uz-)8M}Kpbe|e`W11iF>;~lZQ7)8;<O~;}YKTYIU5jb4UgJy@vp%)-frouOX
z4HA4*|9q>?Y5$q6VAZ~2woC87`@i#62gz>YM}glAN}SU9@#DhG$_Z~_@zfNExEyjX
z-+lG~e7T+LM5jm1%;Swxxm+G7l0dOYxp!;Y;lEP8>cc?fTfT}A2k`bfg`3MgoLSV0
zrAN*%DSsW;J#S{ECJlOw2Gm}O0u0#RBH2``qv!gpkC`)QObY{M(w`A<oK6U&&-j`x
z@rGlG?|lWw>vkOQiW@OZSPRa_nBj2>GMPR|wv$Qrpg@=uErmQ*2mbwO1(DEMi-u0!
z=)D%fbl7<$Xo{o0fQK3{Qlo!wwAbomNNA&Va_LX(u|xpsL7*geKo<`+6wLJ0HAe4H
zXG7pgNz!uVszhvs8lwA7&a%%_WbU=ufL&s2Y|Ml2JZha1M_nBHax+pujD0hGs!D7Y
z#?Jf_zg4f+lloTg`xQfDD(&XHoiXz5RrDFMkO|#2>i+81K_M(;hUZIIwAWKWvkeW{
zqyQX6S;pe)j+7Wvd>J7Dh6n-pLKm&hylJpeI(>4SvtfkdNqXXZa?CZ&PD|_=$rV|<
zi_-%Nsqzi;VTWEx5lcv$pokYic_Vqb<7(q)vmnWm8AAxzA#zEGkSOL%`n1S~^%7M&
znNmXkf4}Sb`=j1Qw$At)Xy$K!Sc+0pSJ!_G%s%oI^~bJdtS?{Wxp1csva4K&D=IWB
zjENMAzB_MNk{U}U5aMQxf{Q=Bp|L`S|0_WZmFNNuh!7zY)Efx>4&4hy%cq0d%N>T@
zYo{a_5E2Y@l6XP|9CO1IIzt&!SXxrn@Dj*F^x~4I?O<k{S0_;jDa3_`aO$@ou}9@C
zn5pyz!4s?EeA=nG1fZ(Tf3q(*w(%6Q?SC(sQq#v5Zah3o8vOV>>xOFF|J~5pn{1y!
zBg6=37W}rSkdFZ2Iub@F(AM^TpB-?4(a!{m(l{Y=*+>5Vq|zdYBDq!s9!SOvo0jem
z%5SM@rQs<_?(&*m$*L55GHVTJvu2><k71o3VTY0tasO>H$OeW-s!2H@<0zT>Je+6o
zNtfoPAx%roLN#>jK*QQy*k2~W1O%nKw$I!qEv6TZ8IfrX8Sn`ZAwI9^e=i~rFbW>#
zb0~g^aGtVvWZchM2G*m_913YLP4SpzE7m^nsZKaEk%BIk)w9HXV{~ZjX=>=%s!9iX
zze5f6CB?ujjwk!gtkyi+xA{`LZUe^#k}Db?Pj%ST@u(I`$tcbU0gY;-LtUNMdGk+p
z5HTSw7zim=Qh#;=vi^%R!`>b@WF^G#1)W~*df}EZsLHbFKE+Hb1h?N-rRg2DW-hlt
zzz!`H&CU7~=Gz;3oOQnn#Ts$Gzoe^n-z?i|YlXePo$}f7IPwt!I(PuLObD~rH^~BU
zoUg2|#;vQdFgN&KX}iT`F5*CCEF1bd8nIeIBROD+V=q@!kAs^a;e(E8C?-*y_Q&0-
z_jTz0n=TDmX$w)zRKX+cz4t7wsxml)3&d7r(*+X$`3|zJZUKVUks#Hr86ynJ3Kr3W
zHUgZ9Ue+A^YH849LBu=T>flBj-MXZc_*R@%5CSoh%Sch2Lo;_v(R1FIx#5mi(}IIC
zOV8}kVeN~6r6wb}ZpgqGbkzCFW>%jrVFIh>Rqo8SoFPj)$5u-~8Lar)zQm0r;%%sU
z6KeJi3^Ex==z!mdEY<IG`)M0E*Q3oSADR0dnhOB<&P(OU%?sCaJL}i47nSu6`e9dX
zV{^09(>SB}r6!DM!Gnn8|E`!nnTEh42tH8XV~VWNaHekn2Y9Pg^>rdE+;;~(#?;J7
zs-wSkhQWqhqpNlT&P=hr2|c2EwKt_>yTNI9+A3-sr?&(c7=-^j;AtalSOO`l1{+FT
z!aH5cQdA1rhISkzhp`y}tR}6li;q-Tp|rnz!X%MqZuTLnCx&D+Xqpa_T<q-H))Jqo
zZxCyM?vXI_K5$MLU8e(&qWvU86E_zU*V3DsQ<8oNZhHOo7YYgcCyV8l86uC!5OmOV
zHBojzVTg>9y+JmMA(cA?g&bG9q;;xZTZ|41)zZjk#?7PvI@=1N{2}CZlyo6Kp(OSj
zmO%d9zIpxp7t07XKxW7u_BC2ZO2!aaHfr5Fq4zV%&CB)Dc%g4xA4_TB*MKmaOi`1e
z3FjvwmLY=m6lDb}tf|%`Pavc1a8F;HogHr;X`6MB^yP0Cg7Te_lRslsu3W}%22K)`
z9SMj9{W>1jX<N41I(|4pAX$##5sLd0*;hR?((-4XRz~H=atlsu#%e^ug8^J7w^7_!
z6@w<yMp)Nc5J;K@ku{WE<t2Ay15`E1To@3e&wl<CQz~qf5SzXMnGRs=%A}wJejpD%
zwE{!e8Erh2v3X{78CDLrr>2BG^5KtP1$-l))pCvi!mh^iD675dg}AZnp-z{4a_dE`
zV5h@J-FTP(mdt91&3J$-we{Upnp#SNP?Ba-dJ&ndzoSI(pMzV%=nvFbI7VF~a<p?f
z_FGtxAH~CP^Y~C~q9PKxMd(5U;n=%9OoO#pv8tUDSr^n`U^Z(p;HXnUvflL6gUbn!
zWuO1Ph@daaBmj*0zL3V=MZ-b(p8wtu|CtFz?r$kl{HuH6wQMf<xC)TW-JZ{n+s}ZG
zX$%23Cc(d;;I7l_wm0S^;BpB6>~v74XBt3vrp7xM16cZ*UcfPGYDvn?Eek}vZa|5(
zB?rC3dTelH`q8L|xVr2q_$o?u!}BXPQC#*w0->7%<uTy@xQ-kNtSk9bSd=+4S8!D=
zI>gJl0h+|e{hF`2Rg1&?o#OG}OlU@EKh%#bZbWBMrM(ib^yC00wXc72=xSBzfKj!q
zc|?YY@&9=NS~M2k_eXQt7R-78clkA6x6^@4*Dc{!(7U4)terlMUE31NGB<LqW5%<W
zwe6D~+1*AaG@wph%Qx+;%bB@IZ5WDykWPwDIzB_;pY|wo%7lDD+0k8Xa?M9gHqQn`
zi^*|HF;Im50We?;Jc^~CAm+#}VRoFdi3&%7OHsAn6%C-$czty*Gy7=yEPPV$&M}MD
znEJ-ys&dk7-gOg%DqJ?{*DgSi4w#F6Uhvsw19t&1+MpHS>sa%r%W=&FVtk~YXBY?b
z_>geOE99kvL9rw@e5+r5DN9YZ@WMi3th8y?WJXo#CUUuOu%cm5aI{)*rt+<}%0^{r
z5FLIbjnA;-qDn`F-^Nsp*xj!grd4)*OYrNC=cAx-PBz)(QC6n(&o3Ot{Q>A=`ONLM
z;>es30^O6>%0z$)5JcKr*D0K$Y<@i1cV7JFD}pV}XH?6b-04e;s{`_T^kMz|!&HgV
z=&*y504NU-fxP!~|1hW^PkYqwqK9^Ocj=!@z+Hv==t#1FD?$b`kcJ7D&{Ve&MLy{X
zmm92@W!|(`wqeDlJ0FHc)r!u^cSk`6!TuP8jA3U|OhR_F{EmTU{0&If1(&>Kk%tJ4
zIL%W)D1fYGR#EtA#ACVP_+iwk_3tH5+JvX*cdjW>Th`w|jNbw0fPZVtU2fld0;qF5
z$YS=u<Jke=t)E|z;xAB2&Tf<c>YM@m?1cgNSpb0h0Ac`y1ON|{594X|>(i<vC|wKX
z>{B29KgS5}*w@YDT4La51x+e|wgNVx-iM!bZYBczNr?G%S@?mCrfWoIPbIwg(FDV*
zf?*er;w6eg7_Yl<;4*>~*zlw5{+(b>$8zuSpMO+!jav+78(GMmn4f3<t@M<1@dzk_
z_n40C$i|j0pW{XSq{qTdyCd!G(g>HuEQz%ZDOq&1%(Cgc2ra9Dq*l6dh+GS^H9SN-
zE-21Gqj(e#sUMKjv3FERgD)OI=KP!#d)d`@`{SdY35N#{%UdQA^f%BNa`NJFVLb^>
z&d&A9rJyBG2CMzbqXRIOl4RVbhcd88Av(^$9aLRe*{Jn?NCQmsZ@m_KoribwgO;sp
zWZA4mE?9`Ra@?wPn1K(o6I=TYPA0j>uE?Vt2}>v~+3Q9OtHd`%`ZkRb+6eY5kKpy_
zHRxG0&oHwIjF2ACqR3{=+h0yHisHZQOEg;SIlv6q<>IJQg0Mm@FXJQ2pkymdvZy4O
zWk=%X%~}K-TA2N2chQQ$QnAIq_hm#;9hl^Iq!}19YBDU7Vu@s~ghGjXZ<SiVO6gHC
zoJlv%HHeP~t#-2+2k+gWywqR(o?bZInTW17(KGz8>tfq(+X2X+ZtZ8WdS(43s4&8<
z63ioQ*$rD?hPjSjYR_s?e_#}@pOwurrA^)~J_@Mis1K7j);BhH=pa0R@2Rsh`>S_p
zR#Cu&+z^7}nE3NwSzVs+uxgVEMTX|zT^~YW8f+vlkpto|jMI;-=Q5BmMOI_Z+SD)y
z7c<CBk(sV!8?VqI*hUjv^y)y_^e4rIGk(n8Cm6;MYg2w38tp|OoI<)60TT$Dzv8U2
zEJ|jX79=CDc3P-9@&yQQ2!WwzUs=qjW(y>{Z!7Kj0U_uGR{X-=2Y2=tN<OeUOaR6=
zDNRD3T@Uy3n0nXsOT*zyogt%c8#v=_y|jt$Vtw^sL*d%iDDdq}LwW$#*a=S<lA;Q;
zb$A$QQc|hJ_z#5=vqN9vUNJwEiY;wsIa&|K5G2utYrd1bP4vuZAL*?$m0te7os3!r
z#qK0MVZpDaarl~)WfD7Ya-of1DL8zxUPpweK!(#|wSoa0mjGK;k`+tCnjb$JZzci<
zy4UUS*r6uPUQJbU_asT3A^XU}C3;b<skG-Xi#(rfBK$TNF7g`y3pQFW1BgsKz*2Jy
zA<t<0oPukWE){y%id7?{T+F>2^|;wjB^g*`=a`klNZ%5s?9lA!`hxg9E)j(38?gS^
zhbK;()q^;*$m1&%3z8Mh<&d<*C|3Hz19~k`<^~KHKhMwG=EuuxI;*#kxPGv&WfgBR
zSVl<{cq8`_^LflTW}zM#7v0&O0OFCBRvTqU*3s{+EuyB6)tdD=4eMh89tf~vux6E?
z&-!dQUJz4u7llt+G}q}EG}F#SNl<J47h|ZC!olCw7VShOop=ttrssSDp(ytTY*Z&`
z17~B05uJxRwwO`VoRr6#k{x^)xtYdP7|9LR=CKqsQQ_bn7Sa-tEq*%j2d?F4WXWXE
z%tyX*Qo#^91!iTiW;Fjr-{sm`UA>YtU*6FQvh$$AdSI&Deb_))f3YuYhZcude^A0+
z?GMNdcK^HZaaRwxil8A{r=WKE8}P+N!<nT}K@j~dGjNt~8{52gY~XVNBu1IvvwQoS
zEUp!DktGWwon{8<IC4Q)xwVP3^{iVKjAU%c&fJe8TsiqNqkI40iD<4Vynd&_CR?^B
z+wq-Yg$<oUMNl>;858qCU!*&@vS{p%eF2|q8iV@4>hrM>o@y2sK4axc&}j}ZGN_pR
zOC3Luyg}qXf`5U=fc}W?F4H~WKl_gg%xVA2_Zc+X{s*$ucI(<q2bajrt9CFSa2`H;
zY0D*gz&Q79u-E#Zp@H)jn4%)XQj!jf1qzd>BHzIYX32h`D?gQw7RehK4R`6ZqY9lI
zmD17<a>lB~j@N~fV{cBw<V^RL*VF{AHIXo~H~<qgc-PiiZy^EciRWYFM>XIT)if*x
zBZG%F_upMe%a8evqy9!L<f8=q<%P>!ijf!MX7AOD&5U4?=2)zM6RF_0&KAi`>yEb`
zX#&1z!R*KnzHSR~sA(=`37<Ia&CdCCNY+jJLgSJZdp|h;vy3~!mcA;5epA3pDR`(y
zxmp_+^s^oh(ZJ&UkRw6JP8R}2{@IzW#aCt}(}8S{Bmb=i(pM09uDC5d!RT+j#fG4P
z`;hgknM0-o6X^|8`h=Gu-j;WFKCs|cFBj0rBm^^?t=|!fKX~v_<+sJ3nb_gWGmOyH
z8IQz4`WH?jlFw%zK!-phXkZ6*Zn+aFkprPgAj1p6^I0ZSg;faTm`@iU#fGWE#F2sN
zZOkw(kr$^;Zl|!C`y|Hm3r#pD)g{)GJzic;^^MBwG%@<=c|7?!9%DDw?W+Y3ab4C|
zdp+;0Y690&AMzOOC&W5m`Z@Gp5W^>DWR)XXA7%@on%(&5W*eY7--1EFzX06JhKp4{
z$p$z`B|C<0n~NnM5qy8w`We#<ga!&LxIzapFn3Jsxvy2J+;uoGn_;{#iBX7q`hF}~
zmo~M{+btzS2F4$5rF_9muhiwbwy21*^0pXVI^jp;QNf=+_90tX`f-Bs30w0_B)6Zy
zl*##7sZom%HPq{A<`<one<`tsBdiQ%Q=;}=%PNa)=9|<EBqZRV5xo2iMqvnDH`y0i
z0=^)&3e0C`)%O~Qd}9Cq(`Ql14U>KZG030ufA@1n?k$0$PzEbJq|8goiz&tg-ujKo
zr+BA@L`4(j*yzDB_{17}R!f#i2qsh2+{uUz1N$;KL`Sr3fbN3XAK_EyH^_OUWFZiU
z7?bLq+lk2O0)JaUr{2Z}?)xR3v5j#rXm-hK%epvwU93<Hn!}>B)DRyiJnDUtiV~NV
zrZXmF&>Js4r{9?LrOx3yr_%e3`0@S4yL3X*KoXCl6)i(GSU%?oWf9=Qh8PVxm*S5u
z;<Oqbb74`2mWL&~)%!3lh#&nHv80wxC@%d%N6DB!W$62*|CU8JM70lZ*BM0V`hL!k
z-pXKfkqP-mhR@yyGao+w+Z2}~7@iSGbjra5zir-{ifNI_yCii(jnNPUri_z+zk$6S
zxW)en*_;KVH`!8Wh;M{w(+MN28HpF5Cz%^~SP}eCLQEIQqQJtU6V({QRlt^20Cg2z
zpAW`x%9jx}(8bB3;A-DMvpcfFe8iABXQ6=l9kJDf+@)V}uIQuuwei3vcy@Pp)9=;%
z@xnNdDc<(g{OhRB+0{$=ID``}g=Q^TNf>|LU!@AjSaS1q6@J}<c*qmc<BK#5rKj!;
zq*NnwR~8XJ-kNPQMQS{qVKZ)Lxx{_LFi!LWjDsu+j`}3LNIBky3Kz?RforE)WEY^~
zkD9Ppvrz$WElWIPf^A+Fcc2!F0CbpqU}W6dRjdKMLye7J!c^uGu4pkZET@mMJ}g^B
zMn*Pj*`9L<9=YxSHt!!$>+w4P&Bvgd<P;R@_<~YVcu4o1bvH+|!9%YZ<M*S9bk-vj
z$PpiWQZPCSUMM36Tt!ThCY_ivbdrd1U{ThpX$BSZxnXNxBIdL;*>Ou~^u89A8sV~h
zVvbrGll?&1{McU19s#$LiC~#c#vu^YIHB&`zFr*0^gA&mF){0aJ@)#VT!5Me+ZdGq
z;v~+Oi4gZU<cIZWC2U1k>j@JM{hJ6Y8+QI_QL%NVs9w+atb(xtSB5gi&21(jNJF=;
zw}ec(CW<|YLUwdj8I31|d?()08(^lXdXTzgH#l?o_U2QV<xs$poHAXyxR4q@2{hPa
zUP5}}{BtFOd~fv(a?ONH@zL5p&^e3e&EVU|_P_|qKocn-l^gk*kfBJ0yiLQsV(Lfc
zh7wA36xK`+iA(>kRu4j6w;k}G;5MuptEj%Y-R0b`j6m|B-lAh5i<R3meAFyTzfe8U
zW8J2*<2Ha1jt==$p)*1fbISP*rll$qJ^%QXh?s~JZ6p~itdM*w8*(9BCeLA|9X4`F
z;V`*I_N19R#-;fFs*o@IG$KS86FovTkk|(Fqct_r84FrO!SA+5Z{X}Q(U^~ygKIZ9
zLuT6wYi+p5$BmGRLlS5{V%2P_w;6HrppuX=7S~#9bSlTe9*CS{`I~g;Fm7*{&?5wr
zAb<l467LX&^sli9Lp*R`b?gjx?rLgUvS1rRLQ=xUk%t0@ZgOo2wxdbW?rqSY`Fsod
zUAFlE+z{Nj?(Xh@*&p)#r9StiO>o)U#hHlle?(AjdkAnXeYL0{Sg%xCYaLsf@X<*K
zTKt<pF3FvNADv!uhIfipV5O3RB|GAvm=Y`(*ki$$ESr9ot<)i27*0}2plihzL&WbD
z>8$r3AZndH89eDfCE#pIRkbuUJO&ndA!&e+VOHpo|LQ~spE6zhk$ag|gOa^sBo5Iz
z_@LY%Ri+4t_oH8)jXYNd;xX)krZ83}tWZT(3PS=^ah3}{3rv55NGEKF_h_dilLu=(
z=)9gGv^{FAIMB@_LrEh|%pjw5n)Jz8$`dq<RKgx~{K=(|r_9C_7K&QjOw%L6kQN8y
zZ@WHsIb=B+vhyBBsyCv?)NjwQp$1cg#^5b83gg&{Qc&56R+0?caEE~LK^!|IJt%?{
zIkdlz;&0<;``J&mNFQCQ4@GIv4tfS%Lj3wVN@tl|t&VHbb>}BAIem50C2;U3lJJq?
z9ut5$=qKejH?M8YW>s`pt<zJ@cTu*(DKYXf2EtyCcnEPSAqbrJZe4`qbw>V4=Re)k
z{9kcKK>O8zjZ3*ytjgQf@K~tYRtAw1`_`^99nN(7o_~6MbJMjUKQ{{vzL}txEIV3q
z_IY|Mb7&<#`TluY)2j1vtGRu1)2+F=cG%1S8_rUK#t`c@25A6Opg(3BYyd1QcCaD^
zCdR8PIBfA?@i8InSD3=+WQG(}=qynGdScUShuhcB?C$;U8}G{M|LP}g{#qfrsNZ??
zT-3c^DsB6Avcx}q=ZlQRINGNlUThhR9*Z7>4mDE4)ZYh5M9*u1A1Kb}SLgnd!nhah
zllA}6bk<Q(Zhsel=%I%O0j0Y`QY4k`?gr^bx(1{>1PMX95$P5L0SQ3_q@|=qq(tyN
zbKmu2t^0>w6lCT+=No%}Hg(u;ED<kd(B<*%7VG0{Wb7*_Il=lo#;O~sCmoSkJw?V1
z1?crXIMuea?N6cPw;mb~mo1*A?P@cV(1*rzo;^r>_v7TEXrQ056tdLAjCLeR@Sr_v
z_KcKIOM2<1$c|zoDJB-j->O_z*ZQuB{EuEr*|TrIf4_q>9N(5#?~hlW>Q(7}gAvxh
zOE!3&0O5Ot(&+QSFu!1sRA%?nXGKH{sw%yTpE>f&`dILL7oU`2E9xg(y8U|f&^PEE
zUWbc-G#yGfUHGulDNW=8KUkjD)6}*U<_gBZw)&IUyh*w%Ai}hGXm6cln2JG8Q|<6x
zC?{!#73IAcA`^Di;q#w4DW5h8zQE`%b`ahzt!3Vi<^I-ndlC2$shK!27pS`B(Dmvt
zWsC-fw#^xiHwUtRt3;>x$gC7?{qD17x$`$3TsvWe;Lr(5dwo!u;!T}aoj(4cp&a1s
zod4y)$cCoSEpkwDBnPk{m{qOR(v09DpOu9N$c^FtVBNHIWNg|2FCEdHk|ru!peQAy
zqAeC5<v8!6ssHX1%S0~y{j2r7=oE-ZOIw-W3$&STul0O`{w1P2V?{)dYjxGOTN21n
z`_t$s16Qw^0jqb6QN7arrK!lz`VJsu9!kkUcX(LrCy@2vqILe$2=^klLRr_P`Ji3)
z)UHX_<<}jJ6fE<<sWa&Fkf>};-V^_m5O!z3L`qKyVDFg%*`>S}Mv2coDXD%kK9RKe
z&vpPuhtccl3FdxUfj_4@l`K98Y%yNReA_xkIdR~U>cEW>8^J>KB;96|v6ShWZZxny
zkJxGpHw^ygq1s5-h;YBib3lszcGS8ln#iBn^eiu0cH`dm8ZRw?-`N?-iN4d87?!zO
zFx0)sdE-lfUTJUnB<;sWFzzpy5&|xyz7yFZbV|y^K#u`Kl|^~+tC50isawESNRAPL
zp~s93I6F7nH7}}HY~lp2s_Yg|A>`9ZsIEW48YB4B$5Alc#%<YzC;8#2+QWBgSNm7_
znv5snM_j+#QfOeP_Jv?XwRIMtrze6CU1O&DtP+)!_B(Yk=Djqnfk0Ns&Bdb!1{?+I
zB(g81tACDdj9o<fU<y&s(WdXsdJUz?V)Xk)&WWfX2TaXb%G)3@C6S+B(mlc{L;i^n
z4D)qoz4MYY&dVVjYuLsS_5$UmS(hKTjmyp5^{^6pI2?wpDORbSM>u$A--ngUZ?q&8
zW@@dWIZwliFqL=*Kybuy2zQ5^!BO@mnWhEt+&nIVxwlr7AG!v^4M?}|ZcZ!=4IOp9
z_4%-BD&t1KKRo0be$Gb;`U;3iw7F87H=FZ_W%ca_(Y^BK!t!0+^Lstm<J)iTj2^OZ
zcIGC@s=*McDvBu_j+ebY;<v%2C5gzxo-qC~`~m;>Nk#;~X#Kdnk&S)whQ160RK%B%
z;zT>O{1L#hPkyeX#YN6uRs*dBK62&NI*wUj>gR){!Wl3i5=-{a4R6dyJsBO1wVQnu
zImVJCQc5$y`ens!{10|2>M0w19oTsf=@6y7L`9#@{sg$^?(OXXO^tlRPjOoQg)PID
zEZKCznFR;fL(MS-Yzt0S_$DA$<9U&i?rJg02u}tlmI446fiZEQ>eRF%w9hZ>CLWR`
z$A|z3wQLmA`JP6<FT2_b(+0yc-6=9mrDP&}8sQ{fA6PI@U^X=KH6*e)(XtsQv|n=I
z9QF$H(kQ6d#KAIXN=yuBigMeQ;sy1(9M#qJ#Mb=Tjl2+U{-G4Rop`}&oBLXU>sIUS
z?Dkne*fzV|0v^DWLhLBmAmYn1J*@}*z>0f{DMp2P%s<<!BY$dl{_EGy6@X{_==*|>
zaq$a?hsp32+kO%O4_;(6(3@N7^7rprkrALeAox+8r(S^@9l0AYwa_~2RzLV$?<>C|
z3S0WZrjURNns)!3+`Ow#7?_bdlvK`Quqv0^S!8Lk#U%;WXA^n{5ge}E1gnm#WVG+~
zz~8qXvBiHsj<ceyZ)g~qlo@~PqBqqHvul1BE@H)GX0l;wDJeu!Up@GHvZ|`e`S}|d
zeV5;nu@33@+dSMelcmjto2#oUm9<?_>!Da8k#QBDYhiE+P_S>$%%r<6fiWYV9D5nk
zTfj{qiZ0U#AY>FbG*7!tN5L{qHOBk?A7@iFjAC~j6DS+>NGR$Nxbl?xs#J6(K9-;8
zbAL}<C4M{dtC?d+B4J);HOE>epm;x0PK@8F+;U<P8uWqo6~OQ7=;-)!$o!ckZnNbj
zPXH@Bvq8%q;l%bAxP|i=j98FtB&zAF_W3i(QPk~pQ<?z;8b$a^dD2pbL4*bFJE4r{
z!ioZM-iwF6U2n9M9UPFfb*d%%DDjNZ;@`O4Y3NuMI7W=Ay1(vE;?H>r7bLH6=6lm4
zHbslmtFZ5R86`R?Sy=%VM?VcU$6Tcs+pCG;i|a36zAP*lR?IfldQJwI>m_{HE&F}@
zR-=NAgE(e<M!YTB7G?wW)A6ISz${B_+&sykLe|HqWj?^m=a~aI&>p{ke3s#LXik<9
zl|i-6Fwta5dy#=i<<vl<*JUHESFKlP$pB&NVx00Jl|~V1L?IZmC=0?h<fFxL20Lfh
z2VZ4hl?SYaTuw~A3K{=}wY!;Q9{4az`RLWFpl6|Wg$8`XCK$8;vI$-oasO=PG*a19
zNnV(1bj+v_lMbnE=BV}3@M3KeHc$4B-;n@FgdP?HPnx-Blxu|b2L$8WqT6b-U<)Ea
z{Ne$45V&(NqJ<8{N~m_Nw7Lelx&q_iq?oLt`4~2-EV@jpa+zEA<Fi<zoCx@seREVf
zOZ&jf9jjWL2XQb)b_`L`xseZWDtdHk$4JWScX*L>u{nJvQSJ2yojf*)+8_ldJ9<zI
ztduG}y^Qx_{3w=r$U-BH#2k}0k}yQSL{-z%evU;?<J1P=;=Rs0hKV6xI>e{RNz`x$
z%4yLuhL{N<x=AMc@Q(`-qobn$(@4<Yh)J<jr-I-gsotW0IwM!EfZIRaowK<e)mfjC
zlCt)(c+)vkm4$3XEAAa?nHuXCM<opMc?H4Ouf|ki)#)5+YHBFbqza(B+xV8or5L@0
zrp}$W8E%qplZr}&{lsxn56{NS%j-b8x*7~Yz;m$s)A}48f-RG{DnZkmNGrNR7C|I0
z9WwngosN!?jt)F9dY>f6oZJ-dDzR@?9&%%q&F=YB>3SWx$mLFSjQ52Od=j)?C=DMz
zUg41qH5=Q0TmCE|VYG0!;}!$pcNh@g_j^2X=92KNDTjePh<2o@wu2APChZJ>j&q(y
zft*Vd6Pw*h{Svxy2IvPt;1^E@*`rvoT&_k%?dnP#`%iQNW*l1oLDA=)sL#F&ma^a?
zZ^$1#nrb3qe3E!IVUH~DJYVejh#wprG>wv)oSbUQDN~`NKwwUX{GaWBEmwbV(W3NW
zRkJBxG)0rx=1JN*<qJh>4h307S$-WvW>zTY3>MUTGLj~@b_o{ZX7d=3V?JU`1_IwI
zpwf2Mn`D0woBABy5#rIsf&)jVL`0%Xiw@6=mE^O)$gyb_TQ*zd83+))LIadjlapT$
z&Ut!8mcNdV@g<&~p2{<%sj`U7d2v!QU5B43Dr0j=L#S}MCq<;p@40&9%C)0SkIVNh
ztXl*Lp1*h~TJ#Cu)pj;G-IraSh>c(r0BT<fHY_x=_9E>!;AO?bXVqKsu4TYE3^!q#
zXN`tEGt?3u67r8aD}jGk;2Pw|LmMWD*RRxCJL~R0!H8spUf&D<t@M6wyxMY<_EIXR
zdC+$S=)n{G>A>O=0m22qgOWR#2QfWaATi}FwIE8)JW={icZit<MG0R^Ih!z9k3)ny
zZo*aoIEUR@jI;GH!`qJmpJ*ksfup{)-E%IkE5g2+szAad_I<+FptggX-hFXQo6bk*
zFR^`TgI4)oMX9!GS6L<kwCLjdZVn8xbgM0E;!j6Z1TR36tiJ~H`&jU5nhyVWX{!?}
zq`5BTdk-7Bw7Fy8e1D997w-Cs7o-UtyEDnaeY(u1Ks17<BR~nQ3>bS(UeC-BFG<Ga
z?xgvI%c7ly%dtI+jqO*~s3R6^GuTsiR1e<OBJik+YWq(#QR27UFDZvst@QOq@3HnH
zr75g|!$TK1`n2dXj$(MEbzA_Qk#t&O%YdpCN;rMNw2f%4ZfYX_UCuA%dp43%Qsz~<
zG$U~(FhFbrL8qseO{P2|_sT*S45ONGOc>HhnBd_rlGJ?Nq*YWWRR8-}e(#{lL@XzL
zpEc-{OaaRh%28Z5oEU=3($5T!jErv!K%z)rUGjCNeG?nbVCvNhhdstB;ljT7%A5|%
ztdK0-;Q1T>#=bw?so>-*G$HZ?;{yhpT!k-GN<LzzeU6fx#VvF4wYT4?ev6xJ$IZ(N
zDir)vp(Ge_@9P!Cwcma%OGgC~{^i<LuY@-N#I~ToOlOV{uPZ5oqD`N`I<Y2eY$8yF
z%H}_#>&T417Afeb^LF$eC&MH8pTGjx!!XRn4YM({cb=m|g}c|i8g<1~SDAuD&$CaI
z^|*aZ&<8ZNT$eB*uj518AI{%P@T_8$T<;Q_{r>^c#_!+1TL>P4OSmfr<o4|OfZ+v*
zp)x=8?jXB3S`vBu_#Z$Et%m)(6=_EnZJz%8Gz35({9=%Pm&PVvk*U1Ayww<eO)B4e
z?J^oZub71w`TDbCBHq;+Uuh=zmKR-QH<=(9z08=O=NkB%!PoPRZg5LgDUZ%$a;eO=
zi|u5qU{u*KmsTyZANWXC`M9{l<kEtU4`PcacIIzPa`^R;V~l=B^qA0~#4UsQUdv`p
zJaJC7*CZQ+L1Ym2T4kj%l@xki!iGLUu`u-cV&P6D*D&;C>?l{2C1<<^Qvse<R-tXJ
zXiIu7(I)*rEr9jP0DI03JB)*C#M6!YtV5Fx?**1f-iQOfvvzY0$8*_@a1>iXp`MvX
zAQtETVymlTK9?g3Dl8IO<{6mT!TAZvWD>P#rd!$Gi#hhdI5rJCH-T&<`T3jPFBosy
zCRZ<JR#h;FY~4C`^AdCQ`TJRa@A!+Ge+Fn_j`=hOE2zFivMY+-?UAW?T{ZRn6{aF?
z*XA5qZcdXVaYL&;K>+bvF!fZ6^ir)IW6cPT4vLe{f3zS=;_FC(IPN%rZUMP2TU)j*
z#z_vnYbU@|(T)Q_LTU*K`zODcuAS)soLmcHV20jNw&^@e8@0lQw9g+Q;usY2ntf_Q
zBQ%%zez#<SMn^u46@B=ncJ;xZ(sj<=NrH>RGs%<kJhPDw6>VibJzuj2W>w(ucL!5}
zZta-7G!tYrfr)oh1g-nwd7vlXU(h1-F+Sc!z=vPLtvS8#l;N^kq$_t#Pr6HE>-?8R
z)1o7Y2^wvQG;3C=$F|}&Jlx!lFL1NUGQs0A)L)QdPS7&PZs9{Ty)7maFXRmOlE+1y
ze5tFuGmoGnFkmaoD+d=LfN`hPmIi&rf&@=G>#M8FpXrm%Z+sz$WQ%|8#pifueb8og
zqeioi4psgtxe$%y%**Oqj@>>69ihn2;6&5h5jqS@Ox*~!qSw_vJ!~MYxAVJ4t81Gv
z_q?yozXD_kf>h4<`TBInFksiGBk0lZvznDR{Q_~Hn?EI>AwqOAe#kP>GfvuaC`7LF
z9-?|njxBcvg+eg5v9@|Qz|+ky|CH!KCOln{>DRU7uH<ne?Il6?W=6Jp1^AffJNCLe
zh`qd$A=}J7Jq?!nXDR^%wZn!4K?)zxq|c{ao?y1G2pQU}izRk;ALHRh4J5a;w6wc!
z2tVmcH1xOZs^G#K1QZFoDT_8~W0>d0`)J2o$2>&uYe<yri;gAZsF{WLm-j5gt*+pL
z1BvYfm}rjqx~ZC}>)~h-B2iI*6?U&`MK;#(IjW5d<*@G@Jd8071{JGS`)MP-W#7Y8
zCgoR^)jQLss$zpIpYv=ddaGmIzSin$XAG}#ic%e(KIg(U!99!ex_*N9oZYT%$;`;8
z351sJrR??@*Ci(<_1Ky``>(kZrhL@#WSN@_eDLyi)l;hgrf&}auqXS@tj6Pz%{b0^
zWVE^r%xo?&rER41cUxF35ie~d9f;p44e(NRDfx)eR%4k4rD6OiUbbfyC49{`=6VrU
zKY!4BvO9SG$V&_B0mO2Ri8X_GFP<nUkAKLZ_~ENWhGYMib3U?dzm&3Ba9Y57)KWw;
zPGVpF$#0TS!E_;?h$d_Cg30uLw|x1I7m#H?J{ljEJc<&O3c;A96LiC!@_wK`!TC<F
z2|eF9g0q)_S9KqB!fi(INwFz;UuzCxrpuS|u};`%N+jb-b-TEo-$b8L;LP)_FCATc
z`}Pe$02U~uQDsm`_Te8q3G&K~II_gAJPcwJTHUtkpe?VCxVX5w3i-c8-(@lA(Xmut
zzCwK^iw+UfL(^rCd7K?Sn{&o<jVm(|gHHdmV}CX_{`BavRM16j30sp<NwpJ08YMM#
z*XG!6m2S0h9SDB;Q)LEO<^c=`J1Nfm!xuCo5yPY1_n~mcOnX~+TaOOUs~MDV-^zCb
zFpTmf5+a5P{O<f!Fed|%pKcG8;`v)akPQt%S*D3BVP3hKs;cQ5Hh}7VVfC^+4G!;&
z%A`4lACOW)9{rCRzPkL`pbHwi<R5lAyDD{K9aS)><^2(OKvf|#56jKX?Qq#@FLJDy
zC0asIrjKqRdpmu!U&&E$;2c2J)p>`)64<6=Y^H=C)I>ck^6A{H>*$x^;|#$NLQ&Ra
zwWDHsQH&oIZ+m=L7<B2-tK+N2uvfHOyD+uKz~(n83BS9uwj+6rAwsFt$&aV6y-8}h
z*&jSdu06bxD6NdXdWa?-wECD$ZF{|ua2=wxMb?#^Kv`^O2Qu;Mru|(MM}~t<GgsZ(
z+-G~^U#L~g0#4QazXEb0<K2B#Lw!WNA%AYAgw*XV!x<=o3Ye1EI@`5HinnC~SKR9A
zS-?N&sCM3@PJhPy{%(!<-T7D+)F7J?>w%^r%CIdMA}AD;Cbi{6hfNu9*a-%mTBKzK
zxbgxR41|?WS&0QCnDs-F8M=<Nt8?!`itK0C!4&3NCg)>budN?Ilyr!Xm@9kVGwFMv
zXO>&KG<fazyn{0QNjxTP<QxxPMe|SYo`Jbfw$7N?F8YxA3WH*M^?Rn0kLqxHOH9bL
z<m!>ZF(s~fZ9{`eHra3Iy+$q4y2L|ldYKYB{^NHqIoS^X*4^G*626e@(@h6WQMPg!
z&nqFd+1Fmv$C9}$^bic2v}7R=3!*NIaO(VF2^U-SI>b#Dq%t{a_be$1d`7Izq#vnU
z(ZXX$$3J7p`b8ys=%M0>Ckrd9`@fCW=z~rGxNmi(UUp+}5qDa=Jc}Bz1kLCY*{=q1
z8|bwa3RE`@HHgrQSReGnjr&T*F;;9fFkitFQaR(S8g@&D7WsV4{6TqynNiyM`!5+&
zvyi6VWLMukzI_k7&zBDN_J!jVBv^AgPVEE4d57u=S#_;p=-BuQWR4<bi$5*}ty~}S
z>rOYE;LtXk4SNiX6TFZc@oc5Yg3)JZgQ(IENf}1>IAU?*xaz;*2d_SQ2Sy29PbD5@
zjEXjQIa6eRQm^T5Eosm0&fJVDWBd9LPM_@7**VFN$v(kW0&~?L4pE5WQ^d#0j7BLB
zW#J?Rz5t+@apoiiL1TeE^=5`#F7?}zSSr|1afy)R$iq*Q9RUhjpwfA=_nYyU4h%@@
z>yb0MGZX5J(H=0J1y4)2Rw91{h1#g!P%K3{c+l7N-`Mef$o7MygG<qW%TU7qI8h~`
z?UQdJKfS!(oTwyH<EriO^soJTz<p@i17<Fw6zbYDVr!L(eNgM$yXdm|i~c>IZQ?Vy
zqd@zwIfnbh2!_1a-|qvum+)nU?<Jp3&<=F(2x~_*OJM$UXXtDc6m401{8muX8DaKf
zmQ1pspI#OoWA%|4(o`N98Bv?{QE4y~B*?G0`P%Y`A~U37&fr2xhJGQ_jba<6aYEQg
z$^+}1u^wPv{$H$H87jFVm3|_b<@O-rTa#ZGZ4jHA>w@T?2_^x4PL9==`{ZPgTUSxS
z(J;fuyU}E0!M_<O@Ib(~|5tKDf96eh^%uAjTY=<3M#PmbohP5r8wz9lo6Wzi1u-6V
z`rtbPqsJ_s6d&;<_`bjj1(W$IQM)4zrsByoPC5f4mMp{j5O6(%<Qnhc#?t5ab{>^C
zU{sa%8Q~k)7gVs6;7Z(PY<n<MJ$%vf0aRe1<Z}(>89eI-jLfm~3W3`U!GS7TuMmHa
z+L<uplYH^8yT8EVRWC7z3b@eu)}w-6AiKcPS19JWCjO*`yb6hR9h<S8`4aDB(s*Er
zzdi7&&+aX+Q-O<jIPfkg$z0EuxVu60m5~Gckvlr42C#J70)R#kQ*c82F<m-kw>e7Z
z)gl=KDLQH{DcWo&1QU@9;a2=AJG<lbw>eTKo0RY#D<FAX(26{KXgaU<u5i)eqFkt^
zx|1ZYdH#o<uEv*SV5KrWw+&?kiN@MvFq;+MDpF#bIB9EA%JK$kbeUqk9IFL2JF#L@
zEhih2ik%CQU(8Rn@JDzaJ{*5VJvTA8zn^Yp;<)`DNT-AeC=|46=44fHKeXVQe3gJI
zwS+z|s3Ib|Nm)W<q;6xoA{QbST<+r!3SQ@1@N|@wyi$*@_kK7z*BLbuf5Q$emUmSZ
zg@1b1ZhEYnUaD7w-L!?>0I{&q-<S+m4WulBhMHOsZ&R-!aPG4AvWF9kNH%zrdhPij
z^{OTpxv<(&lg-G@>SZrbH;k`-b!$WBB_FQ!t??zcyG}R*HP2M=j$qF1+vRmf6Nk{l
zg{H?>QICN*v$OsIAbJ6k$(Y{MPb8cKKpaGXd|EVZ-#>KMzxV0`@9;tWc>8cTP|+gb
zYP0o!oPQx5O0Z&N+O5AwAkbjnf^W8s@X_z-WLgR9g3S4zV_zhO$Zz|zdxREx=#bff
zhiG?9Yd#2|0+i8JsXd=S7Z)ybMmLHdEC@w*Z2Co)i;h3U7BhI%VvZK}F#1w-y!`O?
zPvDt~noqZf3z8Y4Wo72iO<)vHwdC3L!WB?)6ZrzOeIsPx>#=MxR+T;8O3^3NTx#?x
zy>6lt#3q7+`r*G*DWwQ!t@$YMDYAl0jTe|m@cMH)`c)cd%++SUe{~+U^)edEK2fQN
zvPI;&hqIPCN{{L&cgDUBY&7Ir)qQb9Edv7)<Vek%f);Tcm~zDS5dmq~!2awr;v>Zc
zbRKm9tnRN;;#*^R)yLmj4#<-o^H_8V2$nQ<f9Odv%9YD*uU};5wiAW#22^?yx2Idt
z($lm5scO8hm82aF&mY==>#{t*|Hp09_HjXPYkYAD8}P`{pO`rneq=Y*v_OwVp_&OU
zP{(%Cmybeij*gt*8W;lDGDWRZpHGmqvgnC}YQw|fuPlqiB!-%1GRo0koGUrx8V}y)
zPOPTIggHzV>Y1?4c(qe=Z>pHbU>mv1S#=QBz`)L8mst3V?+Qxe%XA$CR4PL{&i31*
zP%zuRfb@hlH3}{Zr#A6I-6vOG8U*g1KTpzOC2aQyUf>Yx<l$@Mz0ilFe`+R*6mrK9
z`tkicNG<3wf9&&P+HQ~U)Ri0u56bIictni?t$!p@Z8N;r#e<3tGk!AJzmw_a{KNX|
zlS5dnRpNQzBOtM=GW|URy|zwcu}a1y`+$$W_f+ezVSCzWSVt5;4=K*w;;gPt$O=3@
zUhFAEhhk+L$m38O^}1lRqY4j|o$?Kcj3tm2joF*{l(qk=e9nRRZSjfH-VI2s4y)(Q
zu``l^Goh`;GW>N}11fll!=U(mB{8n7`Wg=~ImOqmnG5X6D5u(fJMdLoefGV4r0^>T
z=wjEaL&9YC_aFd~0E7=OsX}gkzNxu+D6l@8|NArl?`q_+ed6u$$sLc4OJLx)x3xg*
z*nQ;cesk>KcLTIuzRng?XRD{l{*o69HjrkOE{H`h1jq6}GSDCJ3BVx$4oE}7+Sfgw
z<Gz1)Sy^OydMDtMYy~<xI<6CddjM>GM*%=(wGQhJKe_b-2>=Xj5Qb4g<rNhnYe?HT
z$W<QzfHje@GZB*$Pnun%HUY3J&>&FYN(5hd^qBuc!YROc{ugq4VA1Ek)=T}s1Jnq<
z4M8i&7<MEJ1B9bLZ9QQ_Tmcjd1@s(P62h=5E;k?iyV^{7?3TAPG&BSPZyt&Og9Gw6
zK|~mm_Oi_zcD=)MMwZ9`+F6|Mcni)3g=+(RA0yDP0FOu@mkBYHb>TTIMPCXw`D=au
z-d+k0JGFcRVJHAyr4E8_07V8&=hCKE#$n1;nF8qu(}~NOh`-WQXG}-ufnc-?B*T(`
zjsX4y&|QFh5`g2nAp7S{^pv-$Br?|@@yo?m3{D&^T~_#klA3f!ySH8&b118tK`shk
zt`r9mjZR%AUb(LPX6T_DOU|k4gLIy#es9+$H=%pkcJv5<Q!u~XH#k}8YHPG<Gg^(t
zX;$|O<MmE45VuX9U@1RAK1#iX|Mc2nMhyV5q=CNvw~E3ah1W`(SO2)Uxj|oc)q5hE
z?7AerGuzo>*MkP3@Yk7$lefCMyK{$bmTI#r?}a;~T^#hcvt|Z5P6jRNJ>I*yyLcJU
zV}6-kq}p0UW#F12&+b7wq~lddhr(sal}-#rB#X71jnTwLZ#O&zs3-D-Zm&vuFY5in
zNY6Fw+cy0@Q+XYuRkfzc@T#<aqOUw(b4AoyPCqQ!e-thv(fKB^K#bb2h>H7Cp59Sm
zQHk*>bbKDz#wV7u(Ru74TH3#3Nj2_}MMhez6VvJ=J`dvuQ<+K{mnSSao@{p|)Z-XY
zXiANRJUt8X$wgmIi;ToH8)1>_PwE?7m$b*Y@QFaZ8oajKTZSVtdc)p0avdmU`uR}r
zUBDLLf95>0*{t~#jvBt)E1phQmWUo-@)7twJN8`ld%QPSbKmxrE*%sKf}<WmXV7U5
zmOPexKQWqIBs^Y3NW60iVpPpPds|3{u`jn-YG*WmYud*TMpp^_HPI!C<+3ZWq-69}
zH}_#gY|4tyO4+_#avX4e_!ijIDiwNnIH@y5x=*eBbNI@Z*TS|_hMgNWOuo~w5kNQy
z&(2Y7cv^ok+wcMf70#%(NaRm2d2Pu@N9ncr^KAtRJ;N(}*C3#MTwRPpGP-WY0l7%M
z!u#S7EUM44+q#)yktx7U{-3=E9PX|~m%>Lut!pQJfD4nR9SY>$3%w^uklx7sAeXh?
zkjMY7r@(s^$jF0wRsk)KeZ=#A=+#D@MG_#wAp2?L6$$EE@CnE)c^)2~)}^DT4?=u`
zf^w*7ToaJz^1<JAEYJ;u_uY#@D;N8)i{_%0!kQ}}T>~NYS2AVV*ML!@Su+=UUSk0|
z*jD2@V9vlb@XPKv4iCF<2*ZSs%3YqN)6<a$78Vvoxw+Q`Yu5!5qCLoD`_Q|yqNUc5
z<K+&3t?>dlGK#*d4`84O^z2!Hw)|Io{yY#&9*O)hs;h^q4h=$t%>`CvxOrqhhFq?+
zfx2J23V_kyF1kn+@#c(!V5=$c`~F4~g}VWuV{vXV2G^sf*#YR~0g!tN{Im?X56!<a
zWhiNVdyE*eJCJ9$B2#nw?#b;)*1auz!q)p!{`p4E-S>ZO0e7V>!9zxW!X`)_7Zw${
zw;0b$$p;fYU4Rgb5jU#mVo6NNOnx0RThE@5fF#h{Xd3+Q{q}Th6tS`4xav%T*L)v3
zV;W^VaGA}jR8nJ~Mpx?NiKq<a!KRv%9Dx37GhZ8_*<$<%TvI)lt3g*kH*Su*PO=(;
zx4|#F!v5X$1YNG4E(A5qo0yr|QBT=QJoR(DP!BPD64H6fdGMFFC}1adZceYVh>L9?
zYvvMWTNv2p0{am1`L&k^vtk|AD7^v2?WboVU5kWR*>5~d_6if2p-q8&w>Fj3{IA>u
zl--34XppqFB@;GrKk6hEqzNFd7%2t*^N;Wm)1ci4GljP|_wl@gxI#=FpPA_-Y&Z!x
z-2@s@VleBRwg@EBCO*(NSuH`)A+{16{C3)RU%k#LXo?MMcXYMcb`7%g+`0lWbY0Qc
zi|P&Y8QS(kmYjoO5*VMA5EIU((d{iJy1kd(Icedtny97TaUoSW(xmN?7*Ke3<u1kJ
zTz0-ecV%|>A;R~R2_H5#-?QBp<?t7@WFGiRrx>mlk!8!ujM?t{=Pml7DhpaxRPt-f
zEgD<Y@JxYtLpY}S#}G^zxCakoDf#<zp9RI3Iv>qfJ{op!S`RuMmY1uGeqS|YIDgm1
z?eXT=ZJ3DNM*I6kCe%xxt9&JEn%4BEpy&OGBa56IqWBWFu1n>WkM_-gS1@Wyz)Wna
zMJs5<tfMc^Nh+*p_jW};;5_o))l0!Rc!kj70r|c#y<LN;0v-O~bZNN5u7o7({MfUM
zwyH=m>mhPa3neuhnAwCwsUW(CbMlV!&uKZr+m*Fjv+hQ)u|V>i!r_6yTL989b9#T5
ziGFKf8$;H>2c5l*jUIP@ub+>2?@m7Y^W#nVv%7h~#dJ15%X|K&gstfI&|&RYcH6t9
zBjmMyI(&T{06pJId)m5-0~Ux#51>hstXuFq?)%TzBakQ56M8`Zdru=Q@Za677U?Z;
zO!@zf0m<}Xpos6M3`5?%v#(a)wb)1%{aYB3^0R|&bfWbFHwuVf0~<OCAVs{OwaK{C
z`1f0*K{dQ*dk-TV)Eg@e0Ta%xDcAjIgnt3$lM(t0e6oVe_ur8I0f!j;5P`oPL?d6@
zt!W_O^zvGn)F%c$jFyRDD1h8MY`s;R?e;3}r!+A(2A8*IOE4V$)Yw9~<L%p-gL5#T
zz^3<%s#Ik;v*s42v`OAXSjEC;gt*fb6UiSf0X=SB`C_W$8*3aV6SL)S?d{1G=~`Xy
zzv>;!4@ncp{xnP9L&*>oeC6Y+{_1>Fn4L&=UXeIiBA0M~L1aWHQ(kMUb48StdqP$v
z`?+VB)GPb~J2DGp-kh25U$)XX<f1P5rO|OL8BjVH2EysEJAKI3Bd4`x@5L<H1lNUH
z7o-B^kE_}D_MM}E0_ov}ogJ1h8lQgX=OGgLm)`2pE2}rCjYajF>}fcliP-kA$<+UD
z*)!~CPI_lTmociUq0vAxW99P9TLxEL9xubPMnE%;Lu<^5hFVCG^cEx*XKR-$DN36X
zuUUuF^<zSCh=6WLVLKFpl`)icd+u7A3cNlDY|j0hH!_@B_Ct)l839+FW6>~DO={T=
z5{5A+>-2BRhHx-Kj<fri1(@_~mp(hV*gWc0Z1=>I4>}EExZL6mFHPhOL~?yd`_JoT
zYrW>9f}*||8B`UX-FmjN;L(<D87iPgAQY`3x~mdq8Wj9<hJfU+_j6=m5o0o|w|b-s
zpJ>^ZMf#W0(MV%a!y`XXS`<0NsaJrVV{=)4(fBr)-ZS=Z;Cz(L6UO!qe}Pver7c^k
zNhI!+_3<OT5S0jZl<BBAm@u7(GDd<DvK+H+xds`Dzi)2Y;#F~U2GZjg*&_tYVSPAe
zrK;y#y~AqK{#p~dlrcbvfQgpkDMVQbql&T0D|g7t_r`{AsSGSUubxvhl2fWAx+(;O
ztvG(@rM?BWvblJIpqPSIJ9@kQhurdK&*y2HV?I%tSH0U~&x7coymBS>H*CbRn#xa;
zwx28uP~4EF*95r`p(3{Qn6=zrfXfeU>EB9+w}Vs>z~H7x{`z>~Yb;e%R8a89cmE5}
z=q@kQK*7L@2vE&?YVPs>Rwf4tAOF2Q3HukvT6hIYR{}`F?+^+HW%3g8zakZ%v*D*p
z-{pWk_acl)mQeC%KXBZFVsn#w4S2aw){!1_e80HP<M8TgWXXODKyd$B8bXf1onhDA
zG`sf~*c@4huK;RSqn_q0yF!Eo7Kyw=0d*UI*-r@_4>zR%|1BxF#F;NpJ*k}&blWjj
z&kLWj_o$BXOuEne-X@dAnqv-Mb&Sc_<W1PS^kB*Ki>1i%%f?=HOdp(cjmOJ1Y<mTG
zdwY9%{lcjKnm|q0vgFFXeLWxveX_gIRvsB1KCT_#w8N*j4GjEqWjXDJDOLJw+5nDQ
z+8XQs%*D{&8M94Pm<%p|#ZF0Xh!yc8@=)9N>3fyWj!m9#lRY24>KXn8#%bR!HZFGf
z%aeD767uYa+F4ubKf!8u&#ryMS4_Jod(gu*HF@~a^3YA_xDcr@qEvKjc3NBq3<gq^
zCo_sn)+CRfq9w4041;=^Hl@iT%DiDjjF%(Sr3Z{mJ-V9c<i$)0g<UBLhzJK?&!*_k
z3h~|;$1Rbke6$r9wfzO+8n~HX;oKwHKpkKk!o+1bJXf)As5t^riYsnt;gMh?6&saC
zqFw|&`0f(!gCCp<&v6%wgDk^mG{xF`zH2FqQR2BQCEr8<-OaW_gDyw!3E{?1r?bom
zh9nQ3CK3)))Pm<9K7C3&x#<}jaJx~gHGa_LBC8oAYNAulpD?`O6z@+2!HyYw$|rE1
zKJw+bjyLH3?ib8Yk@1PS!$~ni3Fn8`K;O7D>}a9sjV9Z>=0y++@mg^C%gj9msT7)Y
zYz17VoN)LYc9PEGXUOj5(7iH|nG-r5=eG7dQb~Q$`StnZ7<!<Jp?^fiA7yeM;BZ~S
zO4QZV3MldZ4)oi=y|m;Huw886s5L|afu&4*?2Vn$j?%xLeSVOtt+o<}{@{#)4>cZr
zMmh9f;>w5JD2Tok1Z)<MqZ4b(bD@$$5NhSmvfk`tc`=NVFDn~(w0M}H5Zm}mr5gK6
zRoIku&6VF?TUn=yl=WS`6O06r`aS3gC7&`1%6m$<_8YdliLYk!Dh{djI?A-N8#82m
z901;|r)M%x5?_r|<aV<{L3t@4#%rK>^zv88zu$YaCiYqN2cG-OXX4b1p^R}wTlp5Z
z)ZFN>h~xGbKa`_D`vQ`pYup}#v#CEfdb&A+V(IC5syrw>DF$lNlz+GV00H`eH}n*k
z;O{``Lk)mpSPz1KB99jk(X^d-ZN71B0{Z9i*2JVFl>V<&g;F8+pw{o#^V^+hsQrxK
z32;3Xc84U6f>U`dT7TC7(0M@Hf12c;pO@F^^~t2r9J)fbtM&dp&Y;j8vvN1hKJP#(
zW{+{;vOwq&3NC)G@%NPOpxkKz3VZP7LbU#z4&(1q+B6N{H_epG&>j;Nrfc02Rs-x1
zD@w0Pu!ywaqn2_jabCIza4tMZQ^aN8>JG!fLhzF-e8y#$y(4DLRRu_%b+EaYdGjKg
zN+>!lp*=fppQVjT8zB!u^01{1v<!(_>M0K}p3h{m*az(UBLMhj-Xo#1x)T%|WQjLg
zUsAfl-Ynb`eW{8R2bj)BkI8g-GiiiCu@L?7iv?I?mGTRld#tS9*oqz+N~ka<X5r?g
zS2hmM7ToiFeqB>|VFUdZ*v0&YzONaB@^gz=YbS4AZ=qc7Eb*n}`}I~cHU>oN2ntQH
z^!9oSwXzvSqG!eI=(pXG>*^YV7&cl8E5SIXD8xI3BZOHG1<!f5%4ZmsSL}?~=aZSg
zZ<j@AdFXx;zCpY9KP>=CMCLk9ne*{GE$uQN&Ld#%1io3e_}09(OHM5Cvja-x!n{~`
zUT!XsF{vqdzWLbmjz4Dt>^#}yOP=LbSIgBulzmg%&SJ018(8ZqWA4FE#KZgnQi_PM
zNrlPi`$TBf45%0B1AJrfIOj)0ZkJeX?GjFJ`5-nlXx`6g_+`16u&}U{RPS4DKbn!M
zqJ7SLB#I9DaTjn@1uZzLv?JPZ$TU&sXCXkp0J{>5qXcwJbm%JGS~fNbGZ!kcS1>@;
z99>_;N8L>HSJ0ZN6=X6tDfq6a&|j6vM3-C{)!g-WbK7xlcoAaF6K$%RU|(J$`b08{
zn#V9|ErlQc$62PNFZ7H0r!ClwSPJM<bPc7YHEE`(HI!;NhePsoxt+U~_uQG1H*0Ha
z8@(OQB*&g>$<3_<7e8gU$MeK|$*{uIb;;tpQa?{5oi1piMI|j?^+o8Of}uwQ-+NeP
z3GpYC7IvgWoUsZNaoSZ|C#&=1>8|y=!B5kOm8jU9dJO$^v&dBvn^w~*;NdKy7_snH
zqF??eEv`Y}@;FvXru2Nuhlgf!*eMS~oNj9<&X<L|{lE^;art+h95<gd)e^!PId^i2
zvVL{C*>n`bY_fO<$_ON79toxV(=>Ab21$emgC=SS^sq<<YVRiPN&DjG`k);X2TFsp
zl`HKn<mm)yQul*@4*XXmgRAsG=#>=|>wU8Z=GH4;Ud}(#?=cS>H(9kd`dakwx(Lju
zPS%<oG&r&t5Ma78F*&)~`x_~g@@z|;uzvu`XNST77Qd8$LJD3iFz4<I3p*?eiXf7e
z*Fx|o*Ih28V}-YWA*U~8!;xi+XBgxYQe#92y;74^<Vv|j&9|zVd+U0W@6Gb5>zB4Z
z<qOzT+hTumdLW}eE@T;=XU-U<kqUnP>=__<Hgby6(aR7Or({qnjXh###w0?;_Dold
zk&%~v&-X=$TcJdKv(*0)ztgPH<>BJ&kzbvy01P#;sr=a@V114b<wR+Jb8sr;P$K46
z!rQ}k;!1cV=s{pe*NEDW=+D;vks7b&wdwOxy{v6b-IMkgu4xYS1NDJ)K;!{3kD*&q
zLs@7zZ8+w>lCfw`ic{Jwl~?av4u59pI38k}TcXvPvwp?xg_Yx2rQ8VBu6(D`XV!GV
zT70eHNcnz`NbkfZZe0i~s+P@df(y^I_#>aDz?nw_4-Nh}^o&4FF@J`|od3}yT8)NH
zQLx+(-ZVtL7W>X_XjyH%QX!GnN{`6=^%gZ=wix6~0vTu#ag3EqE(xp{XpfnPfn+G8
zyv$KP?Z@ZzOtwK|Y<_8NHaI<;sFG-g?Wb9(AL=i4?+$&=k?Yhp>AxYDH^VVp8e_v3
zqTN`5_<H$=y<l-qO_QW84zdd<@h}&;_Wexibn%s*UL-hHmasu}3BL#^vyGKfCRQ!~
z*&?RF;87d??qRZ)n(b|i^a8O}!d9MbJ|`frQLP81dy!JG-u{^c5z-#Ke>vh7eP;45
zy^5XfK2BqCLuQR^@=uI?5<X+1L`dUE%NY+xZX20V)N2sSj+gTKsitOBZ+ZyBP_bu(
zCd^Zb&0&T*{aC5Qn&`^my7K3w_$UDW)x*{&!%GP|Cl{;UvG+m=kfp%yKk|FbI`k|L
z!O&>jRsd`hfh_KoS_B_F@B1em(g=RW@`OfW^h||fH%r-<sWqJ_K^G3qi_Wj)=A4A_
z2J_&qvYqvBJb3uxNIy(%X9dd?>n<9qc<RTYMofom_R~R&3A<6FwAIzgl3y6za1feO
zMHJTVZ9$!yKih)D-o)a)Fy?4EDVz0TcqsE2pov3%WfXNEzapd&{fUGk0o300RtE5<
zY4m|rkt9HG01Agh^Wq`(>d%;0v`3h6E8b1c>jb|(GN$}J1bd}F^L=+e2MHelQZg9e
zT?gMG5gsRpTD{j3?#9{YNVjB-#qIvZQQL!{l>dZF3}A;JMJOdoiMM|qSj%O`MruBk
zec1FSnZNZMOL9r)qgcurM(`Ri|9b|Qb9w)HU)lgPRcBGxjXy>m=6$fEn|<1+AHRC$
zP@m`HGfzCS(Y12SSJVc^vJd4nw4!Td6cr!_?QkW;quj*sCyEMb4@^?fm7e=a{_LPb
zfa3~6CAL*4H=SBKhZnrgY~wmnQ!#sa&<sWkA_kS__~}w(4O3yI#Gh^NE&Is6`EArH
zo<Ye|hT3a6<VTtT6U20*u)-#OCICk*T~}p@w9TD2v#xgz@~TZLvE-xN!u=qn<6JyC
zjx}C3GqJBZyz&JrO6Cyv0l|y+Zb3|OM!Zw^HeKvEpHoK!%B*xLH5cxZB`8>|+uLT7
zwN*Y(8**(P>M@TMG8pw~jOUZFm(j{}Y7rL`qhbwJVFw(Tk%!4-#jiXKpzv1#5t^%f
z0)b9do+UAwEEyfY7#;Kc=02g$3hnOfJj5IH%!j1EPKs8E?fH1svO^^6c#g5}pjVNO
z>|=WCEI2OGJ?8Gg!GE(Kg@c0S(auc^PrHCtx+|?@L}sC?h*rSMN18l2?hic~k$%}+
zaC`xN>^R>jp~UK+i%Zp#axPt3{iM38>T<h3OPb=RPoKEZzEI;EuyHSVYI&tpGJmce
zi%I=R@<muVuiRDP{0$p;xk*Q<LMR=on95pIxKJR)ADEg3eu$5UvtInhtOD9hL=dHX
zwlE6HQ=H-FoTCpIa~WhvY<NrMfz&;pl0JuiMrKU3nQ;i4?CepXe@B4R>t}rfn8B1W
zg}YVSLtt4-7fzGnC21W_Q~jk=Qc#%8WIV<S9a?dzUv^^=6U6Z1$JXUW^$;);$+{5g
zVUF%}umGxUA_E}w*Ja6ARILc=G4FqwnXYX-W;?Uz)3-KHSrZd#qSd8K7A4b-t6*sr
zJb4L3fmxodM2z)dgxciV<(d&VsQNOk1jar<Sh+hR@8w>l8@M+lY5fY>=3OV9lsx+e
z-tAZGQG}uUIz@qCv~xe?_h%&EJ0Abagz~79M)LVjleIrz3us9oz^=dh0jQ%tkmF*o
znK$e`2Eh)OuJ%98M*p*p7QeXP>2d=WC*u+VcgVYKo~VJs;;<QlVmBXqc3su6_-T(F
z-R^HT{{32$IRhLT<J;yCnpAcjIY-VG2mZxNa&66q&+m8Z?Z*2F1{;@-1YXDEk!>hT
z6MLX%DyF4I6$-F~L!FLKF;E8!9HUc#O<-3Taqpa@_cf22+VcuQ%gb}@1ky*!09z`<
zI1-C#<z+fDX~&3H|0B4UmL3@Oo4(D`>b451c^is}{*cNgLWP*<)=|<;agv$*pOHts
zOw1OqTqw5zf$6e1<on+=M-Z~xmQ9A;>^D!97v0*xmc-*g=!qh0y5$#KH6D4kXSwIB
zCAdq2Jva!Rf$nI*kOp0zocTey^KYIOsgmbo)eSc0a$+Jg?S=EY!WpAL+@)Ohb_E+5
zB2S6;%c_luN0SReIa@03um4oT!C9@WGG^Z3uX87FHV=#<A#0bCDS9=4aST`!9;5WR
z3+LfbxFh>}pZ6#boUOk!v;JV!i}AZEi#KrNTnBVg#YEjLs*sch>@A))H9ZQtSpL=s
z!71(oB9E_56&(ylZ=^Q9?X~T7ZGZ9(X!qCqQ4rJR@XmQQ841om0gJP?a3vSPGMh=9
z+HJvH?hJ|0OuJ{&skWYkf4D6;P%+*Mow!wAw`x!Pe2Bthhmf&cFZbX|CkiK1Zgaj@
zWylf#KIBV+u54@!qp~AY8k8t4P>Z5>_C-VMi5wBgvwY|~-h8RelI<o?zf(|3Cn)Kp
z=v(tay2;RVY`aUFc=*?#6gk6aZnEa%f@AWrL2Ct#iZdOZXj%FK^)*ZFC;xfdfHqO{
z;e~l!ZSBvqT^vcLD&rKk=>zhZTf_<dB%{K!>%z^2UE;VPu#Z$=Z=gOEh=vPDNYp(0
z<{?U|?bmq*rK%pQIVhHC2kar%P}T{-eDv{I?i6y33Amrg1@FZ19XJqDU>*u`=aLis
z^j0rg+d{x9<L)zf=l`D7=-bz8=w!4(4Y#5Mu(PgSP(6l$Ma3<+Pp}P~|ApQR-H)id
zj>C?m(=YA|d4l;D_*_{$Bd6^;1NmX}h-tf(z0LD6S{I`*d>)Sdja^Z4)c#-fPT@Yy
zptLJXY&@pd$svzPm^Vb_EA>$VFFU#wr474X%I&|yo@cdoMrN1)Zt7Ytp6_fFdheQe
zuhduHclpUHy466WK#KPrfrqUm!p4*;oj9DT_y)U#Wf&e}tn~Vsnu`2qw%7f*=&G7U
zq4zths*mf7YxXBEKW$0{nGT*=>(TP)sc8+?71vDd&OI7j2|Dt=SPTl8cfb0k`KXoi
zb0M&iP1rAOdjU#)-b8U8z~_=5S|#eE;$`_%{<y$Ac!~DGhvFSSnw1}Mf_8OHfqy!a
zQk_0%j5fWqw2gUkfcty`HwD;t9fgeJY)X<KWqL>v1O2tb<kd^R%#+v+n&<4FYnHGu
zp9nLki<=a@dc~QgJb&H+FlQhyO}}Q_&q6WI{PXur+(ACn&M%5D8UF;VLYfB8HLBhn
z60&D$9|IFx(#(k;0|bTtT^=yyX#?}^G8tfY2b{pF)hbjxQt47Qjt`n;RF_eHc+B&Z
zGPkxKa<~btuFer!Y@`7D-&3;g`wClgO!`@xVNe#cr3arX1JNl<SZkT~-qX;nr+~uH
zxnfN-f=Kld4_P}roG9u^YywLa@TCnJY*tl^;q+S|5?OmpeT2sMMT|h4Pni#~(9N-_
zDvk5$MhETU-M6sGx9DIkLaK*o)s^Rs=0lZ_w|@JmBpUZCze;p6jdCffVM-R0W^&9~
zj}oV8F|edB_svP^MTQa#lu>L>5q+ch$R&OqFNPY<SwM8c|C?;{#&5sNw!7qknubOj
z1vwVPt=XeGnJkOS@v!zIUx{p$W*zwUE{A{Z_?0X6Gk2kv>89i^JmdZHFlp=ihv_Zs
zq>^l_L~}{-I6eZKY)n6q4YC9`Cu)VyK&qN9z#yLd=Ah{0_jK<IAmRRp<oh8v^)Vvd
z8yO&?3z-U$;=Wy>UhoH5a_xiYAT{?u5-9j*)Pvx;8uRmnzN>`IY!VRsn)3Kg6iU1q
zw7B_NUjQ6AJ)nyFi;V0N>Df~Q1kO@|b2RCSSpW{aer0jfV$n6DbbK%1vTN-Ytm;Ai
z_m6+~@5YM<y|wgf^*_NLU=x`K2I9IjZjrrP%I!i5igedXD7eLVnt6MySWrXXBP2$_
z{mGL<eOdJ2joHCzy7$avxa4yE@0|p3d5s#T#*a+=S~#)tN|}wKTEE@8=vVZ9yiC^+
z@b$(f8VjaoHc-Y8YIZ%QPNUJmMzM`)DJXrKzS!DhvIn+vlc22l^a(uD?FHLbM5WL|
zlZV;YWvwh0@E`7$kuO&^QC0lndZ@(||GQ&xn|yNlv51KOq6l@&#`W3m^-eRXULF&v
z9oL@XJzr0NN=9zxO6y*$i>_sQh1|4nYKzp8{Fd8KPV|u$MD&~b5D+1TNR!5<)ibI2
zog4%}cQfDe21vbod!@dKXAu}<%;mmNBeE`a{QkzPg0dWn)s$DXm5_q4hek*lCNQ0q
zyeygwC4p$7ZRy-gtj>~l1gL@6cr}+nS2vl5LRU)DR=)xDbH!+16(EfJ>#M@QbMOs=
zyoZ#RMB}O%!**&r`=!;83j@>N@F%D9z)EOkwGrdI7e?0^y*uH)h1B<ZY`kx^a$!;$
z>jGE4yk4?x^CF0%Dexj7Dh^cj``30SF_KP@j;UX+hYzs{>dF4<PTQ^1yELSB5G=`n
zzxdcbQf>6P^=DB1299OF+8`gOhohS6l1iT%Qr$otkVCkUM?3~Og%KMmOFZB3@!U@d
zQ)RCBzA0t~nG!#y2S(W~AeBMpqvjZ#UKfIhWl+m^DU{1*RP+f~_(Ggw%^PM866d;@
zY`02dvYAsA`$PL4D15H3m{)J#ZQ^qFpPDln`1i-+pEDn2FjyfYmsW-xS-{@HiU5I<
zbH3kfb}v9$)*s|sp1ll2ow9*kztDdmT_yhv=#P<$?fI^jgYRG|4RWGEV_|^YRqGp+
z%^jQraWeb%)a~-rN@MuHVi2|U;z6ik*T7mlunlx?bGu)EesKHQJ><aT@hQn;Pq4TJ
zclzHe&$2HTe?M4sgH?RT^^pepUj%kr_5dj5@!n-OyP9<AC0T&c2O$25(mc^B-Q17;
zNJ(9xLo5rU-yFr?1^G0~h4(m?T8TdYR7>Y0r(}Z@%S%ILsu;wvC2Fg|;EGh8edj7s
zG_~eoe*8$OZHXDIBA%jrO)Tqda;#K@NE9*nP-oJjV4MzbtV>`8As(Kdp7X4yU}T~_
z_E56X{BZ{nBTAJ-<>ujSkU%b7<wZv6V**Bl6fI>?=JVk8ISZopUb{rZF#m{U`l@#y
zL+IZ5bKQ{VK|w*sc_uj_kCn@a8Qh3we)w_U<(DdwR?y8lwZr><RHx~(L1d{s1*jG4
zuQQdC9#J$zGbufM`0%ygdl@=;o><o?7~~=S{JqDUo$y=;PT~v&P+MctK%$NC+SGEG
zolUU<?6cZV=(>7Y=56R>QYLya27~5m4H*tPeoC1V(Pn1LPbfcle(VEDy8W3)4Y?ss
zd2z8^7mZ_qs(<6h<w$ds?x1)+cj4G}peX{fCO6=Q3(C|6K`J0Mh{b!+UCn|2`TLgw
zs8A(k=+vkPnkF$v^+3da!y_hk2J2UUo(ad2^f{{%8V2Beiw}pU=UvNmxs^r$$$bxG
zw$J+(UEbO^kWU*@-)U)*c?;Pgpy}_)sO@bH`Sk|^!%q-T6uEo@lnrvIe)beecbGm@
z^Iq~SVf&tc5bZK-*kM|)U(@BA_GMh;ei@XC!=q1(FVJD%%Z8n$RGaxdF(zsN)Z+xS
z;zFk{iabsLP8=DI7`lNALXF~B0k!gO7tn!#djNQJ+ylWv7KkB{p>Ff;H%R#ta>xuu
z)gk~ZJXQ4Aedz+(A^@StHrj)$emjzH&WqoC)0E5Zfa>ZN$T<Ulfn5-g4Iq1QAV3G9
zZ>-4Js{kO35b-`lZn3~X&2_1D4OCGppZt0sWX=FR0w*%+>+#>g$N3We^@dz`?|J{e
ze*qA&D;(h;I7$3j9g(RnKywE5^WM(z-p+!Mt%CcLh#Y(?N<b8SbOr`2;F7HnEcDjp
z$np{I0SDjv;ZIPUxx2fwDwTw#Xe)E?u$LKAI|xw8DyB1Ok%F1qeW~E93q<dK$iqL%
z8otDe=pLvDRBwem8vzD15|`>9q^iz(I#s$p2E|H-=H6g8-l8+5znK;NLlqZ?F;8Wh
z2`c|B*zH=qo_`x&WWkfAoU3ZTd~~SKcP|NSAy00;)q!a0EM?|--;u(t&0R2?$g;2i
zY6}w+72!K~eq#gWh&8G{rsZFlxfN#(;$Yuhuj&yEPkI7^^X8o0se@l`*1b7xi&HI?
z#b!&?U0IeWz19_{g~c=z(mo3O{Y_-mQ3%M)ba(#=*(|}RFXJfux?{PI3*TDUG54_d
z=BA^8@gNLhY9Udm%(~Z^@MiA;5ZO%W<=50RDWxN4oNvV|VD#6eethDd>~$DS(^9sK
z`xnbS1AjGu5y$jv>>cI;(5{C3@u~J78y<?#M2)dTWAHwE=%sOQG3s$(##vzyaT$2z
zRb1^f2i3~N3`2aR!%i>LWC%00BfW)4Aw7ojNgtoptU-j`AD1zaas8RLfHi(2sT`$#
zN7f5P0r8u4fQ>p&>0CQ0lJF-mcBuIDT6&Ol8>Wo%j>Lh}&-2gS;0waF&Z2)S(#?y@
ztE<C;74~oXdrLRSq;qn)X9Wm=H<H)F4@FBEL*_NNG2lE`%!=ghcvAtpIZ#h~+$nU;
zF7|~MDlSfviC+^BX*o>`h7|GTmCp2d{U1$d85iaAfBmIXSQ;dxSyH+iB$f{86ah);
zloSvUknT=tX=x;-OG;X#OQb{u?%D6}fBVb_$jjYp=9)R5bKZx9gZ+8~9~^Un3O89)
zKim2o)eTAho&L}Ttc?i%;>m@9bJ*~}tKKkEIXLhsE*)MTT()Vm#aT_X+GQqd_i@8Y
z;N^f1@rqw~7rX(;H57rtMv}F}tM0LWAfaqya0`bDW<iTyx$e&H?&}Y-HFNfmDVEiU
z@6p_-{g^0mZ=xrQts@|-^oNFD37(a@PSjWFRiZ(_APc1JTi?yf)KX7~JWI(BFBMDU
zXI!5iMJ*U8O;~C*arX7S(c85J@y|4V<Hs%DZGXGL;PJVb9Sf&`J*B*8jE=5$fhIXB
zplHT^**L(vTEHvu0R9I}SXI?e0DpKf=|AyCnA49qg|T$fZG_WUe&-c8p~98uBTvO5
zf^Qn6E1xqKU2c9fx$)#O#F99KusN&bg`(OkOJiBI8CqKhs5%f09eyuAxk*cuqYVFW
zLTa47?O@bL1jR#@fZ^(Xw>-iKBv|Mj8&f5IW^8OTReKXg38R2hisWAuf7zjF+sy9s
zr<DJOhgW$?M8W`@qLoWRQ4h-5IjHM9Cfr?#xmCH!4+~(!fuO<n`HR$O7JmFj&r=zd
z5#vRIR17&To0*tUIs68Kq>zxlZI!XqKF$ub2BHw^`po6;ea>lzenw{I?||;0SH71=
zcKUD~?5I7W-h}jbscEUHHQxp!_du`lDCzLF8;C_=q(fseLg1d~Ot^3NV@XIOEHcrp
z5}<fiX05!UzHgR2Uz?794Z|XGW|76rnR(bN`mnZNw?a#VBxTuqlAmm3Y)pxZ4p_|f
zRj}yB$nESy!ReaA17^{`8D8xYH6P$*vj9Zi>aqzK8mrFwruGL(@DgwvN|aae?&C&0
z7#j5@(84+U9LijZHd7iGYz~N2zjW~8i^})I_t`Mvy^Dg;k0FF)-)M$hGsl@Bxae=&
zizgqbhnP)72byS?tV~>VVJS1r+LGh^mXcpj#DpaRuJ!c~1{ii0)C%9ERwl^ib4c^k
zDp%5N^&aFLd)azTQ+#PY1`A6puA%+~npuujI00=k?MFf!cMiixvziiKog@)$_t_!b
zTFkH9@^QP2z0@_g71-Tdk1`t=%MDB9$mEctp_v9HsUzhh)8M^%_z1<!!&U!2=9Ovw
ztr7QDf}>WmDh1X{Q*HZc`*lO%#!sJ&&pH7*ak-f?wy{bA1NdN}<hoq?DMVZhd6PJF
z%@F%0A^{gn6Ayy1F)HAOf|s8xJrG12q*~IV1<NNS6bmxrZEE>;ZwqIr4syq&sZQ7G
zRmN@cn=D)htiGlu;M>0d2XOY{;hP^nUbL?|KUT<Q+?vR^@$dr{V5TfZSP963?)v&s
zi|2uiZ1LzgRBNGVwU}UVW=6Yv9sf>?AxTHchmdSpt$K~3B&-e<i%np33nv0Bdgs9)
z*WNHJZ+yfRV}5=fc$2O`hn0@EABWIa`5uk*PhuCh0o7}s{T9Mh2QF>%xNY4DTpzya
zxugjQ14$B?nGU_$`!+R=R~MU|GE4PNleHH-Yo`Tl^}!redt?!}Br%4EwFDUrm6cnw
zLdCe*jVk50>rWXe91)43dXCEJSK#m*6^sEHtylfYl@em?%froUzwr?QRosZ<mf!`S
zLkEW>tRy*E7V7_YVz3{XhJss`$%?x@9Xpna%$~n(CGLb-rXPI%CEqMG<C}K1lgkWV
z2466BLT#R3?g3d*rIf@3P2z?WyMe<FiNB7ws4I)K0Mf&`6M0%;qA5Cmwb1qvGg!8w
zxOe}yta6UhpcpD!tXTOC9`&j2$z*j>IKePRFB&!kO5pu98iXD6dru$BXXoYuS8wP3
zeh$Ugg_N6z5&4A%{`UjZuaX&~l*>Utehc@V+~m2qzn8H6LZWVTKk@UzSG0DF6#B2w
zzW|HNTqkY=7&K+6B{IfYK|VS8mp#^nKhq*c4bg^Eemiv@{6mdF03@td6TDDbWy00W
z+gnZ}0Q3O`K$|YGFzyz?!i-i%W!2fS#>ZP(7UxrLz(A9i*S)z+Z*>G39fw4oAi+wM
zHp+T~7X^!mS*f*2>At`Y__N~4+H%wiG(UgY%Hy`|&Dj|sGk<e2t!P|5?>;Gk0YRK<
z+{zR^wp0;^@OHVfSv&s6aa**7x%>`quU+|ksrB(grMnfqtCvNdwO=(Gw1f!9nIGlt
z2rdx7<xzE$p(V-4m^=_j1&kJxn6TTp5kJi&h~?+`&Hcq)#o1U4g#eF~X84zqH0V@f
z@Aylv%Hw~W;h>^Wa6gnu(a<bQd7gs=5-dGmI`_!J)B(R;0AQJCw1G@cK&V8qXX8I-
z6;nsa_s!GP8<iWnlf3Dj{e~SvZ;h7ukr5WjbV)mx6h5}H>DEg145!TjC|97CUYBjv
z;PVF_1=}aktcMIG`jl)ETiM1pE`*KYvKa3OKgQS3*{{Aq`lqfs+riUPtuI_^cXIS~
z@z_gWUw`W_MTstHcwzxD@5W4#h%v5vp^iLFDD`M>xlYBZ^SbwXfIit;gk?-tVjSQ@
zfCG@#Qx8afvL0KCTkD(C6o!3)gvyQrv)VkVATv|p-79}}V#1P8vmv2l?j*HDpIX&)
z%Rfr(wq|=YCZw`pWV-sR?B((mI5`MWl?B{q=k$+pLuh3$U?fTg<Q7z{5P4oIJjB5c
zoEbsxj&gYcY~Lpwxw`@27RQad1-^Pj=j!^e2%(jIf>q)FZRH!clCR2(lJT<KCz^;p
zD~$TcDnU_2-#;I{72`FMP?GO(V{0Xn#q3CKn44JIx#!3E|6YJZZS1EaHtXtHf7_qr
zY*N6iU@jl#^p##HlUOh+XBqE|A$CYHi9rYY9QC{gvh;P>`MAVchAX~cg-^l)ipz_}
zAD@Mr)jumIGE&4U`1y`{t^)2<c{%IkdEvfYjwonJdhMtfE?XcF5L6T>F1N+x{~7zn
z55fr(8zGDK*~3=N;=>1<-%(-e{CEpJ!@G>=(+{tDk;2e&t0S=LL><33uoat|n>GPZ
z1nTf9TQ9dbIMOXHscL=NBHd$WX)C>mhPpm0d&%%YPWF|Qdad^zGbk%r0bkofQ<_(M
zCxE)!vrzS##z+rK*C#YK51;^|B({5WJ1C+B7lX6j_c~dJ;nVS~+dB5%K3KZ`_M%^R
z#Im2#euufy8;YIxZcGJ$yRi+S0d_bt-AiuruL(lDxb)VJOR|{mKbKq`BT-3EGqUFn
zr^52+!$8euRf9%4_hy^VUctMQjJ4zcd)3A^Z6rQ#S5HaPwr9dmt6FX1m~Oj^YiwKv
z?P@D4->@b{qkyx^Z2#8Da6V*ZldO<vOO7Er?x}xjBdBD?fMf}OP2j~&i@Q5`k6a78
zI$8BMV||KiUX{nM$*Y^dNC+)Et<__Dn&znL6l(FlAj^Zu0-X_(4`JX&@zAk<DMPGM
zu3zPBqo|zd2*UF3`p!5>2>^ZW=;)~C+vCM%2?2pQ&FgLhDIV(xoU4z|W+a@ik`t6d
z%V&Vy9Q5X$ls<c9xK=w&TK;lBf)<Z0j+TOvph?7iw!@+F(?SnUj0Bjyw0}Ot5_+qB
z0Qv+m#f-y!DzU4HW2DOy8jaY7rlnb7gp(EOqjbUPp<QUZlNYbv&p5aEA4>tQ7RapB
z1-hkr#eQTDyAlY)C0}-sDf+9)mhye|TTFX4n6G3@<WxF2T-HFX7(eRz@i!Lz>6LVd
zp9l-t6~=pBk=cJ}tKse3hRl>U%E`qw-y-M|IQ=UkVb_r1>DGsj$=b?D(C^KBRK*>e
z!7R3_=LqAHGxaH0Sj;Ps|NDZhPF;qv)3rrUq=W)Lke<hF!AioQEh07aB_Q1517wiv
zTQRi6D{?Vl5}Y{E6LowgUuq?Wgbrs#{>r!&MikDZRaY!Q>p5tkPFnf%g~JomUk~+4
zINcK5gLqWJQ@}~nO#Mu&keH4!OC1FE(h|tPFg1n;IZ<1bm_id<hLtuL@(swW&!OC;
zs7NMm8lOWt<+VIcRz$jPszP{GtdhRUCrAom2>iJH@7S;3c4zlwUsT$Z<tGZaZutQc
ze1B$Uh7&t@a(o=^OW&RQ!>Z04M*%B2#aCm4N6OKJZo1jJN)rkd%bWn~e#m*0=kk8a
zN$vO9V8B5Y7TI!5hB8Z1m1D*&N)fb(;OJF&I@;6NE+I$3$FUA%zs7Bd4p`n#F$Ajo
zp;jP9!NOGi!G9%qaD?2$4)5`9H;v~Nd(2w`;j#(lq0<Z@P;}nFcN$95F53_bWeD#2
zy}}4`!2W-_?lW{mCaoAI;~40}p|VKL6?~z*W$Wy(YhqV)Yu6D02#;dKTZ{T7{RWHb
zBK1XMmU|Z;yBW^+I?X57C1uHex!#74{#EbX?B*>Tn0}B?+g4$1U#;2oO`ZX=U68o0
zX$WhHI3IK-)OoQvxri}+hAo;^$B-^e`de~(a}WK|3vXbS1-UGi{cth5u)TS;zq5fE
zf;?WPWVg)9#8wfS@<>o!Tqd~_9A>q5?txcFhSVV~9F+zfX8JcZ&>!HwI6TN_Cz9RE
z#q^3i!fBb0c{yffVyB@ph8hGjckodO0LQ98b5F1G`^GqT47k%z?!I3Akig^hYvaqq
z>M@?^c<|2e4!kjBh$7ngK?jN?3?^gjN0vD*L4*{PHf7(mvU$U{F1Y{MP83!GiyYV+
zqxf49R;s2%$e+;$qopRHH8Yn}oIFp~)>}dE-qPkG9*jPqXVeL|S#j_;Ygp<q>kDtE
zLW~H>9zE`AVU$!RtRTK!6Xoc5N&T9c2g10ui}X=jdnBuNeL4e=(_jq`Stz>7YgRwH
ztSYd8xRr~fqpcM#;*D|VmDus;$9r&L)BeS42?XeY{~Z^T;Y_RHW*CbEuGzZy>y?|H
z${m7%-A<;Z=x=4(S7~t3!{T!`z2W5(=b$uW)!ExN=@_VELuYitZq43oa&C2z@*G;0
z3Oh`{<HO=SDus)Le%y8?*Be!Had4=<sW2nFlUd!@TA>9;We4sP^^kS`sF$#mP}In$
zb}wGi4-_x(ZmGR<;iA*_5EBJtE5ugF=}E6eECKQ@V8F<Bp!Ww2nHGs5_$w#4V~XfR
zB;HsGQ{j1!%1!f+FRw&J113Oe)Em-fw_=SFk1s8A-VE<3rX3!ix1|h*iN$HNVImh6
zb1J$F)Xr-ru)jmmONF^AJ}c>c|6V%#+@UHSo+y8o{)aP3$($QX08`gwL&L@@()xi9
z)C>uRjgn;0>$~cFS|#7aQK`$epT)du61(ge^KdxxBU2g~vXvr;27_|Ky_s^<vgC8q
zb4iq`T3J6gMq0d+u?`rBc>&@6@fG)<!7vUP7ce=a)PB4|C1O_n?4OSL2aCw-ohow?
z!(^<2oQB#(bpX}jpbGaOtOQV~M01vzHx4h`PH&$sb-snthfP)Dr?tMcTlQV>^b|XR
zMSG0(*K<s?I!{Rm@&NRlmzP(fRM0ZHt;U{nWZV{@P#QP-C63!L^pOv1Pmu8R2-CBc
z#H26<6B~Gp*&Vn`CVNy~R<SIy(cNAhxBsQ`<|YT(Kv_?HH`mu}MrxZ7NW7-{(bQ=S
z1Xl8l;rAg+XL<Q5;V*AgxSgo;OWh#s%%^7+e&t>XL^W`#As}#MD<=%U^kRoqq#07c
z(O@Km9X{KPk%XE^yeTgH#W90Rm)KJn`bgUF+JN#nD4{YF$zUP`pBmFKvX~y3f^9CD
zheW1qRypw}%^oLxn6USW33<eivGSOW(nP{Kr$x1qd6R{Dj-u6=_tu5qrqq^-=(M7d
z@{wgeGGb!C)y0-EOe?;O=k;X0JKmYTe-AJOA=|~B1;mNLyhUFre5JVp3wrD0HJ6|G
z=I-7GvZeeMf6YxEQ;qa`Ee8x^u!sWxcZaUw5fZW`N2g<qE;OnxZEBkz6BW~!;?w*6
z9d>{9a@zcT)3Qnz3+Q!l6IpG#ua7EE)-IEwFFb5ZwN~pTXn8bw4$dG+j3FvbD=5K(
z7k7Zr*f!?x?JWe}$GN^el{qe|dOZb+$N(s%_CY9#UwL~s=HwMW&`)*RRBy2|sACoS
zHh-~YRsao3GC*{H!SsZJO}#+F7s$>KD_(11hVCssn-c2Jy79k%1NU6jZrWRQqMAQ$
zgwGhbp)UFd|IFtx=|EI4+hHi=?C*v(tOOWHil!mKXBzpY5<9{Zpl$H_w$@?yM=!fT
zvd*s}y-YLlYs?Z8a+9dwVqyy#31qT?mniH!<ivoCv2c$9NE;Xz(`xV4AKxKy*37~q
z<7oOI4VZ8^xC{X&!0X@nC&Hk<RP2mee`E=kpHJ9NGJ33I-$FU1jjBl!J$3wN-%)6*
z4#x2-3}($nVVL@~ByZGxgsOzY=}O^MAOF&qzINlr=P+VIRH>9w<xp+rQh|{jNDtmW
z*?`f}9W87=T&oEX#_KdYy}tc2f`*q5#R?V>(=XQrq%X6s8$BZCf6^dfhRDGqM&N+Z
z+%;?E8_rAci-`G%8Cb=1*)DJIgyTG6X5J+8uP$p)Sp6crQPka(6Fu5jX)y=!=2}fo
zFr4L$+f4(Ed`WJF<U4p9RWLJ%k=6*_teYDeCM*w~b8sydJY!7bCbp>zEG&ovy4q?!
z@Lqw8H%ai|)frwJmojFBRt(L@e&xvuQVM|=-6)VqS`sD5f`9_$BwqBusdpkEas!Jo
zT6L_6HoL{^U_po_V5~&ZC%y}#l^GOClSS$o4UiR=km#(dn|@dIRP`P6$JsEFerd&C
za*>9Zx->0^zE%3@LQo6n+)@OK-ZH=h*$->OzoA=gC*a7PLN|YWe5_abjFLr#Lur`@
ziG+3DS@KZDOHvt}SX`3IVUg+Z5^?)Mw($Bxq_!}k<d~WCPjtlZ8X-zH1L%-`3&CMs
z%2BzZ#F~?CE(tKqnqOriy`HUaAH@5^h@zd|%SU^rJjf^`>qs^Ct}m_Ak4zS{SQdVB
zq|(%+avg9Bm>dn0shj0jWUyRv?G_u`eqMKETmPtkkunu!GJdAv=>D6>tMrw6_e~hw
z)-UXe)d~Y&Lrv}2`TGJmm4?sg+PjadCYrQcGGf_|O>UzM*-8Ae&+K2akQc`HTLq?n
zp8x^6Z~LCOker)Slp6Gq(_0XKTz~n@AFSY($f#g&)JQ8xCVf8uAkUyykQ{e#b$>|m
z7sO(@xvR<Ckc9#jkPu=Dm9i{=Ik3)I3oei~4iG5GZRCE)pd=JD7J$*=K@vH2Vw+!C
zUKYNw+UG~G5-{HRd39zu`;?OG{YN!yu1CKWe!sYr$9V!H#%{lNDxKYbi-AASn*q8O
zz<i$@x9I9SzgN97%G+j@)+j<P)*b^wn)xtO`z9kW)<|=z0KKe6)u6()Q3wr6N0Jiq
z!uP|DTRjRU`iPP?E0Yy3I=LJAoK=eyPm@{gYbU4uzXXE@%t?kOCLNY??VusET(`s0
znZ1HEiCHcRQ?@{tymgL_Jz)uhtJ1QyMGNlq-yh%cCXW?Hcq^Q-2lLA!S7!2Z*ll7i
z{z>;3tp)#MfTx`o4(y>whh12YqiI=8D<mH{O1AF{gZ&D;;<?H9lA*Kw|DibByet6{
zvvc37Q#23GQm6W&`|U?)ypH#5x>M$R)@dm<JVH(6S1(f-p6R4W04HNxm%KzVW)9zc
zA8sMl>+yGGk0RwftQt`gPe$xlzt?7c=&Ax2OL%$XhAu1Q)nh$=D&Y|G#kFE>Oh(?Q
z>cE9ZD7yBV9Qf2ibw_xrNHEAnG}9*ln^zcb`|uTyMi6W1GPnHiTION1GWibWvI1d)
zaC32^g4t_7!RG9IP4PDeKS##0;kLcpx=J(E3I*$Gw+w7dwpBt$-fcG#+F&X&Q;yj1
z|M$3TrUJJfkafr-MEj_`B5j9Uar?kb2H;|o!K(<E#X-W*thP)bh%Kd_!vPGA+BWry
zrl$-+Akm(uDA~ScSr&8R=Kk*1^N%{K06DHgkyaw3XeoF<fC+K6-utaT@JF@RDe7gX
z8IsD^f-=xB%RQ*1-l-MGPwT$g1$B?n?I+}6`f#8Vxn6>$+-CBF?EyHm0YmsCB449H
z;q)2lBf7nphN@5Juoz(PBV*vfifvzCm~^q1m>3$KiR0U|G^~uG9oLAwO<YzMqT_SY
z9=75u5r^dGqXsAPqBitV`}xmGghAVC%__X@IsWvbi_bbwPEI}nDTzVBcJI@*hV1JF
zWkwYW@=RJr3#A#F@vSiwP(DeLBHLY82dFCl=KXk<atVzM*XYF~ryozfP#mBaux5Cg
z`9<%z|1pSuWlN?(fY``PIk}@-xqF$c{k?UHUv0VBc3g|W3kdvR{e(d`ydlAb^-6@$
zrCeW&z`*;*5`CAG1^D=Lhm1uL=*r5h^xPQfB(HwDF_lEG%1{$vDWO<<`31F_<Yr~H
z*Wk-6nC4N&az9oda2O~ijrV{+!U#2)md3)5<BJt#nBun5JcBfkKib>73-=>g=j&Fi
zYDdb_vB^M6v}r#tpSr^7vd&4bmEf!;Ve$5CAgo|bj=uZO!}l3*FkV(=bK?fAPjcJb
z(6l&OrjJF+uv!|WO1U{M7dK`NyD`c}ex4iiHo|FA<BPlK=KE4sG!<3&sNZuo8whx)
zo91;c6GLf$!^o9&s+R7O^q&ydf-1k#@;c91pq6hJNtzY>x)T1lE#R@!;bu|(-HY=S
zT-yg-#k)ovn4Uyf5<i=>e_rW5<mxqHL~i9uwQ%S;T8~E~zIS{7{ku^jqnO+U5URj*
zd*9>xbwGd^#i-9}rSf&q_W{ia(s!4B0o>%TmODH|tE&f2LiAL<NuB(%t=Bm*^|9Ml
z?A`spKEnG(#PNL*B)-y^tmU=7?Rzwu2WyW2m<gtxWRPnEr1OAh!4ol$xTn^FUuqNV
zijO>rJaEd2tn+(9M3fZD7zUL7v-0P)3lftJl#^VoeHK#*h2gz1SVnAY=hdk^L0?3*
zH?w@F6=H}Qjf!U?*s7^=vU0lyo7dWVL7VY9u+w%X@wv6fNT7=&S7HtLX*ij%!9ItK
ze{b#t@o#~?$gR)DVn`57%-NyF*3}7|(B%5{(?e@vIM8Onwqo}8*e4hCITl?R(Ul*k
z?HbM?(PY3(B2^QF6S}b~(zrA-v_b~h56ghE&L@lkp|O>-+}TPXsSbr>2It3V!U;**
z!$S-oku>?)>b!_YUzevLunn`bBzvSgJbxy@N@2B-=n)$U@E5=j#Oafdv0mNCGG`TT
z;v5(#8MpPt0{V=A{@}8f(l{ss08UL!$72rArt@i$5`rz*Y<Tq`$r&PZ_?Q&9=uaKw
zd;*3NA|X(^gh&o-JE{yzi*Td_ZDiPNj7W>{ZV78d`f2lS(2s|Oh~yT<e?GZGlet{K
z`X_8|;hQcNN>LC-@(kr8=HXPk1#Ih#aggx577Y*du38)V*&)N8L*0KiCl;*wS%1l{
z$z=lPs*D<e5e9>W$NKmzs((WM_xMG>k*t-ok5vFL8O-V9y&~95$#1dO#{gnXNlCfo
zA^|vVp1*Bdmgkz?MXv&_$7F`i0W|@PWPzKvc42mWv&qV&Y<9YO0MO!vcXQMg6-_p^
zk0kOY0lxs?iw-mCn3Q`(t^>?lN*COJI10Xx1fVdmUjogmmZg6HRezQrpr35O0g)NY
z7kN()?K0_G2P{22GzGS-o=vL`A+A7`#yhMWN_rU>7-(sUMDUi@z}y`8;q<OK2<3ax
zdp-Jl!dwQGf8#yJRtOcyTt8##q}>KGYwh++rLtK#s|L679^Pvk2n21hKe|z6$AuF&
zjSKHNrfEyZ0>xt(gDj&odPnMr55Kv3Gb7J!qplT>Kr=Xz@eA|x9))bTwl1@p`gNLt
z<dv7kTG_;+kE@rn3_t!dg@EX6xF_6mXoPa{^I;o^s)0N3TUnV}CsWpm+9S=yN*W*u
z%+AhUt7fXUEXTIwwLsk~PQO|rOH1!3O@z~?>ZvzkNFI`_=kbZzw;r#V7&Q~AXeKh!
zq__&&0SiosQa=`X;$jiEUFbIRvhUpZZ}pI8nAnVe(%YcF`g7PawAusRMw>waw+H82
z`TnJ)CBRTVz3!7mf`IA4wp*LzHZRIK<)EkOf~TeQ%!ZhoaG)6v4icKDBS~=wj%&xm
z&b24TbY6-ED<dsbj&UEx`(yD+@uM^y1d=fG2n7{Q91D~4Xt}oUw8bf2RINvI#ue;<
zaw!CTNGdPr8Cm#C`E58Rc7D%-cOY%>)(5k{7JalU-+!g0u^`{4L?k0Jqg|)n!qLT9
zsUp{n+KkwdLaK-<;%ZyOwO^-f0VIvtP0Sb3lk!bRL*o9=R`;cGcS#;=+UT*@EhvB}
zn*PtOjp!)_(xu!xJP_DFrR=udrF(PYp63sI8;GP6_@{s(4;)9p;lYWpYs}U9Xpc+=
z0wxD&&C3POj!hSXa$V3+9k_EHczO-?%g^UdpzicP4|y#>bO7c@tO7%hy41y#+y~&B
zef@9nwMp}rGhpDp0)CP+gso}Z<{aS`EczhnhmyA_F^CXFTq>pISMf8Th1)_9T{aRp
zXl`DmI3bn&W-o9&Rodj2$hd{>Q)+kR*Ll7>$zD=}D+^~;EYhMH%05>pD%gDzQ|BmH
zxvt8(4QkIlWxoQT4Y(D8fsIc|u(naT?$zmfQ0%5!0Ig_zrNiTZ^@Y`a_7rTZG42>}
z7%dSq!M<dm-(BGclpZzK?GO|UuhBodB$!sX6+?*=57YPyMUI?q)`Z(Wd<?gxxI`9m
zR&36VTqYyUALs04{P{q)ki3{vL)?fB>dQIqCkxQ%&{DP8u{z<=L>$XOoIaZdU(dI4
z5(HX^P)DkvsY)SJYij6w_a)RAHQwE#L+vkf-dPL>M9f1kP?+}kh-leGO^X%>DNs}1
zx18_LzSvK2^N**P7H8+;0!@<3E2IM8`gh!=sWlGX6-jSp@X#6PoJ-k->CH-vzFgk{
z-Q(l;D6023dM^oi2o=gMb7)%hdbyPo{qreBAgD65A&Xjkj~FB#`l*$vm>J`+|3a$!
z6(IU}wsge?6v};9Ex2^3w6yd}6)({vB-;vtyXyK2*L3TnXq^U!C_Uz0AqnaulTOFT
z$wMQwh)w+)!3SsD>6|#a-H}R-qbMECS^)9rOD3;2;B`4q?mDssJ+NYNeDX84%t`bz
z^jHFgngpTR2ZAYoYhE(*&_*TnFf9cwPrXMYBp?9LJ{RE&EUc2^d(2|o-)P)pjwNoO
zp8!033P@9FZZ>ETD00nrGOylFc+vE)fQJEtf!XtQ&nII)m56g47V7jsSjoF$eG0^V
zF0Vn<4)Uq7kvL)#keJp0Ee-$}5$KwKxzn#M*t>tTBU(?9EI^d}3&xYGIeUcF3D~3V
zw-C@MKuf+}_JN{y|E=u)Tk<pj3sNz6kieigkt=cAPo#lZH@AQzm6mtEpGVVujtJHR
zstn13C-A!=AQ;uv)j%Xikmwc=AtOn!DD|Ch*6)wk0|D#KSh0XvVZh4lss%BevVqni
zKr_~p=V0^qpcTzgHz(DeimHd?Kl4vyG`c%j!rje=0+r9pVfp5R=%n8AwB23pLk_f8
zWTC(lGSy~;Nr3w0_wV|+>>*c2Lp=}|x#|Hw2~dj*%)Z+2PIJ~0!FUJ$$Cl*wWSwV;
zpW^cN<O4c~{5ntCPORDMiE5}juco(b=E%_!=Uyl>Y6+N`!Y3BlHWD#yh|FGpx~b;M
zj@wFn^=yQLxhddRVU!kO;-kzWwu~*Z$S)oFTSSEp4g}w_MMO=dmYS+g%QAp`P^~v>
z_Ybmh+oieKvNJglQ9@5dSQGiqZlBn(5PR%3^TcPD>lbwrZg*4lRbM%O=kq<CpWlC>
zGw!B99jU_>-J==ID22dyEmy5w${<POMLfN+$Lk0@P2OE4B&il7uK13%S};ZCAu)oQ
zh#XAN_<aQ!!N7&m*%_F~x~ljN!lCfneP!P><YEiQPw!|6ia~H#<=tiUM*<EHLYz?N
z@YlHE0{H_3qqa$@w8?~<p-)1ogO5KJ&;_VdWku$+k5(Y*L=71Z#~_0%=4pi&3P>Lm
z^VhRkLbVHFaI~)^T7*5EgktY?hE6Jw*2x<h8g~0W1zvf;U811N%`a5JL|#@F3PnQd
zQQ3tM(>{)H%?hBP8nVQ|_b<zvJVPY_*C4hOK!8y$fzZOOSBkEma&UaEamZxGh{5es
z{V^(-NJ|hwM|Ry&<xi^m8Og)AkgSt?sbEcDrrx*t*Nbjb$Cla_ok8cbd+?+qHuNX=
zn@>u$Sxde>`S;}sBF6CKc5w(W60c)V8-S6z`v#;FT8*kDL39p5ak)&&QQrlQy$(Oo
zVUSM`K|q@T^f2%Kq73oWB1<PSB8X}Kg?*~Q&JB1G9$gSf2g0lU6=0w;7dmXjZ~mP=
z+@H1patmN21|foUz8$kX-REN6=ZN?$0^b4vO3)YF<VQbjfB&{dj3qvA|C4TS;>K<I
zG3Rw?RQKVj6L`dF0n1d3jMno#F>6V)+I*X7?caBni-(usBQoQ#h!J@FC;(~h?B-Ac
zyX4!!!NK3ZZSz0de(St8VfQK_-hI=7UVy*C9aHC?8(3zS+4g9;c>gZeGSfydi~8HJ
zLN;A~q5Mx@_t$PCx(G)pQm_^;hB1R><3O%-9o73vErt>WFg>z~R2P?~;48;1j!NFT
zHy|Zo9!Ycb!i2QpysgOL)>=%LckLBHLy`~}h_!o<iAD}bhNKeX4zzM>xHoLE{u$Vt
zFNr6y8mq6uj3)OWorAyCT^PQY`t*pnu2`YQZ?6Ywwd+i<C`d+M@6tijwa1vmcvk9B
z+OK*7pI(Eg`k7Nvw#J`IaJ%z+n9EI%=rJ|0C;@!{oP1jNzW9*w;Jyt`_F~1${0IeE
zrH}6m%^*=<kRc^Kp^<FrtdAJwf*bevY9a=8`wV!kUsX!82cc>zK>#jV7nSSwZ!#KI
zw}-;IQ^B+e*FtvC*Y!YVMLD_~pW`n;a8zC>B&G+3Rxy$ORoWCdfWB1|@kU#<c5%U+
z)FxA!g<vuj#4@^&0_&CvK1)%RSumpBUl#9GW$q)V)Y{QXC8hFe{D+B!#ks&g{zmdc
zB*1t$O?F*<RY8+nB6yb;iDWHP2Zr{HMt|UP#;LGnt*0rx3@iMH-r|$(cPO)fG+TSq
zAa%=kCq#dL51uGsC|&RV)r*6$POk&DAfyLS74rNJSY^K=5MDXxrvop}-U4{o^X4~z
zucr}kpi^^*@U@Z)`3m4}A)b7&=ObvIl4t!yU~hhRagN}i)KV>)-*1~ExC#G25wLqn
z@WUopHX49WwpBcRCfmcFjZn2VC-`zhap)TP{;3~_rE#n2ERXIR`N@B49yU66NT>>L
zgvz#n%bbS8rRyCPPUipj0&qV>V2DuRc{X?8?R>C0@)LKZI{ecO=nLBfT2hT1DpD)0
zO|WQY<ok$>tSp?+CkIaAd_PMy#Ti6(`+1;fm}9)@1yV=!wU__S6HN8YX5ruKVvuO%
zD>y767&KV2xNJn-3|>FW3FF)1w(6Y$^F80Jc6M+WZJF-}Xj9zqE`|ED$yxJTFimiv
zrtDsF;AX@GSTk*e{+eHKzr8*MhQxPJ#a_r~@}7kyR087G^}3H~p)#lurb~GO<A{t{
z`F^ckCV_N52iYCF`J*p1+i5B-%*}!)nlPk=qL_<zKDXt~I|ITEONtk)&u2xZPP3_Q
zbRx;0O#?L)Fz&=P#6AKkChb{3^kEwfux*)s)&CTd4wFVwk^!n*28xlc`m|;=4wmyY
zzghw<EDHXet?KvXV`GE5I2&sr7BSp`;AHVc9!v6uMyv#g?54kN8w43rM-Opn30G*c
z+RJzLSnRFh;if}^!0l*bQ-sIaugP%2+nvUQKqk!8%*<IZt7sY)%}}bls%DLD+DEA@
z+pFuBJ|1O~i&X5^y1agdLjYdT^I?nPcd{W<F-oc>!aw3a#aYh0eOEbG(KW}#$q79A
zS_Pj;6iZ}2gd(F+@f3P+x4_gKDhyV9KO|`%^b5&GZV6vYOAdsww;G82xx+TY)QS}C
za8>jH1k09lI{Gf~H2ZFblY#n`vb-B$vbKfztR9-R=yaOn<blI-iZ){Vt!;eedk7Mh
z2rkH>`NLm>9u&~@1HiQUxq*N8LH$Yu9RxU}AU-=8wlyn%K=$QC8RdaJ12M)r5#RFp
z-1WDcaVzonri(D?KcnHp&)17iX5IX8eTT7!?}TQD{JF{bA3s`d_M{J9YYJ2r6Nx24
z;=)-wV12)KInfwONi&Sv#|?DqPy52FbI%1Fxe458dpJ;EqR*BATbeEb#HApanExya
zn*<_PPX3_>0%0X7Ak&fJa-t;4Z`=K0E#}1kSW~Li0-sZo3JnRJ8b_9%UjGu8BA+mK
zEQ^g8t~z`vpV(+zmAKfDbMoJS7xbWen)Y#v+u?rBuqHcK*C|hSS`ImOmJb(hG0DgT
zhH0>>@z7JjF|hR?AhUDGT-T>DPT{d4_i)0G$YiDO7zM2JjH7xx4y>QqGCraY<-pY(
zCI^++JsB#PWwA+3(`(=i&-1ZTWodUe2ZZ|#%*?t*$-a(kyZQf3|1L`MwpI3Otl_z4
z^tlr3mvV*OM0h_F94#@^W`dh=mj6+KEF;w;Y)g@)7tyt!-g3GJ!rnvTgA=B7$7bXo
zDHA?RY`bVjmPBHZ&4T!36UaKdzqo4p1fpdj4?$h0c@E;XbhflfVG4=Tmq0*n)e&iF
zL5A;xlF8HCoWFwOWW+Bfo9B{|(RfqnF%8RQ;n4#>s56=Xfc56)My<afd9|TzXtLq$
zJ8!Rq;$%>gdg0qIDQ%Eh-{wRgKDHAuiaa~A_OS8qpEwW`ieUDFSzrvfYdYzg4gAUN
zzr?d$_)I#ShEMqtbg*j-D7te@4BI{?nG7l;fjgQwWDoVv;SWH&fVco2A_8Wd)>*tP
z<>crXlXrs%z&E#aI=Q=_j~oLHmObyyMhHfYw|Fh;|H4xrxMILKC@qSVb95-pKZmAP
zt_Xy8g+Et6zgVnSXTNg&n&S?tbex&_%W%?%yd=eT>9>5^13&95fB5jDe)n}5)1n0E
zegoEKtWb+(2i87I4uP6iQ!q5DkMgqC@|vvn<l4x=SOuJSm^lQWYX}LUUO$5`!dZ!J
zYFw)3Dg~LNIb!|$Aphd3-xLxKCq)Y5g%L(ck9?s@SfQ}zn2xZbs5#vEqC$TVZrQy)
zxqA+dV-DH1a~irS=KS>7gphzwEp@0k_!HK=Afne9oA*P7PfDu0tLwzl<{1}9f|@Rw
zr$ynO$V%2H53aQKXG=)Q+8=3DL^W6vWv4hlI>T5aVb$Wuzkj5Kv(@?$s45b^%MsO4
zmf@cr;iLOuaZ%(kWBcIE?}zX#?Pzw`WrE*Nsg2h%jLAk*Y(k|;s`%<}JUo&lQ%59*
z$8=NfgRlrBgWeT$gJL^78V#SXu%TETqe7ZOC0Jn3Bbqs0di|sBBSLg)`V_SbG-%6L
zjusW|0-gYKYx@JPm|acy_38RLn3tDQnDJtRc((}`+4})8v1VhC_NJgV+ObtvJCkqY
zVnI!*FNUB!8g0hoT)*ETvjPQ!%t^pWQ>3b}+uvGa%t888B^3B=5y@{jmk<@61nckt
z+KP7%KW;z)Fg61w1PIN5Vm+q81a@n>C~bIbJT8_m4<-QRGv{(#6E-_B(8n^=5SzFr
z&}l{bwBPcc{2W=H_h~hk`nJ6-6koJ<cnLuuR*Z(tqfR(bARtH^3s}4^!fz)1*UkZ+
zflAZ^mNcvh2LY3Api8EyYNRI@b}%N1TmaK88hC462XxQwa}PFN&9~`0xWV^@#Z0BX
zjhI}&laq&+r=EbI)9l^BP?GLMtCwGUMr-KWck3Vj(5F-gy&D>RlnY_M1I&XymFphh
zaTT5x>$1%qmS`oGffKv&MI{6y9Ssd_kJZL=TUW4)Tq8Gixzh0=)zc!kHn@0$^wMuc
z=~FBWZO%&nYGqzx*NOgujSx*;mtF*4>2Y!~+ou5~<g6VBPNS5s&Bp_sUbNEO$=0NP
zmq~rHba|6tSp(;vQ}FTksN=<we8ynpu!Fk)@+m(4k}Z{QBNac;+~MtxPn=79wYF4x
zo|r#36vJ;~W)!&bHNm*iK|*IAM@8sB=;aX#9h`RqLQ8_&fJw*PPrv6o-^i*k`^M_2
zqk)gsZ>)T>Z*N-scfPUSA|jDEDF^AG7npTba2#Nvj}vP$wbTJWFS1<MUNq0!v?XTo
zcxRq+eMu3WiNSF>T!Hq{55pcgB_vCdnF4IRuY^W+I^~~y`hV#!e^U;r4mHZhjnm6g
zjn%bhj9EDfaTN5&NZFi|=?9<%;8C1th02;AoL=NRlK|VVpI;mLl(_qd?hL6clE))H
zg%?ytxuEHz;Tm&ru_>D+ZVU9gV8}pGLl#>!)~U&@$hb^CE*xrA+IcVEz<L?AVqAyz
zw}101lQIM;8Ezfzd&+v4%{U1cVznS4CUPN`Igi@JuO$whVN8cD*JU}YY@2Ht&c236
zyAh*Dp1q}dTMOY`?g0pTGoW6sR(7AC-k+RC^lc)rAl>(e-D@}hR0h``p7_7MVzBjE
zcnF&KUDZ^(ItNB@{tlBdwux_&^1_0ZR(i;k=n3e*kkAtnwwSmmGKT#jf}&z!Jwqx`
zVsv>6AWJ5AjOI!<gSltCR@ZBDP5KhIZWA~ExZ+Ir&lcl`_?nk<{Y+!T=bmfiQ~==S
z`8~(!WT@gN=r0`7Y;3S@2i}v_ns=Z0=4wB&mz}@yI_8@s*MVms3Sbf$r`6rQGpSQ<
zjNeXrk~CV9`*|$@F#<4VS(fk)awR&eJ*dD(d7IpE60(33fw3gNp907u^W|f~5;4MY
zAL8PAf7zY~V$p#a*X+Ky_roWz_B$YOgl*7N`enuJORNh-c`%PB_zqf)zdv9Jcs2g2
zb4YLbM?Cc7@R#Jdzg6c*?LS_aSTsuusp6VH{^U^tOuS^j=3^<fh?fjWtrN6IG?AZW
z&JgC;^VC20iD@kgz5LlW$~-jRDqQ&5s<NLq>1#y-3f)p?ap8pZ<p6uzI_P)TE^qAU
z_;++``UGrIH#2En9_Kc8qFLkDykYSQMRiS0mluL7e%$g?MLgWtv{)F)#Ke#>YHU{P
zXzmb>QF(SL$)xVrnI6s?6VlEfJ308?Sqjs9(1@!P58q3VJH6FvEU+~I)D*W?@osH9
zMSOfo?@I5ck%mM%^v@m`83V|2CFoi@FD0ve6y7PpJh>Vx=Qxbxk{Ct1GLx+3(IA$t
zNj!R$dTD8CS>rqV-G5vrq;Le_)q11N$2Haiu2ieHn$gXx`yOVrLy{8IJ1=?uftK{M
zrb_JmX|akYC+9t7n7td81^g#fkG`v@4$p~?Ka=e84On~yd_}vT@6qzOa@1LH`-~eX
zhWQMu@-3l|#6d^F&W*<az<|XO_T;O0FF1Cdh=n_^wq3p)>Tug0K_vCMZg#SsT!++l
zUVR6&^S493`DV*$fKhep{D8Q2f4D8qb2Ym+k3_>UBNokx0~CU;+nUo`qrSYASN0OB
zr@*c-(Z^o0b70z%KY4f1XewUPxawS6TN~8NnJ{7U=$+hxr&Jrtd}WS4DtSb~f>%9h
z4?mdDgNcNO6Z%onpRVqPhPOldob;R|FLF!2B6~P%Z~+xo-#p;5)%&q|*P9ztR(u6=
z)^@HTs$zLeWxKuXai*=9aornSnv-7*62g32<MmYT@v=N$j)O^xM%?tcCShohK5k$j
zIUU6xvuWt->l2?$8rF(`X}C7|v9bsC1-oo(v?)okg>^qK4@nP}1>f>%)}f)^2KRV~
z=dl9J7pVvIa1?=_xY81Tx<z!_n7XmQD;C_sPJ`<Iy8|lCdhlkvG_+av0^}|9dV43Q
z<F`N0@9zal7s*EjRgqrRd=%Z(+>;p=T2^Hg5cx?9k-X?~jeahI+qs<Uy_1aN1DWb;
zqiHT@3VYS^iSBO2fOXHb2=(oE2gw(7i+XUivG(!JY<JRU;FfD`%{0neYob1@tH_sT
z(z4{p^*2_7L>6<EqQ=&Yws2y&dvCj520CWLr>tZ>Wh}Bdo)iX)f{3S-h?i+!P#g*x
zc`{YfKXKoB`O4>uO0cyd;7VJyw;QIe(oj#nmNNGMsv}tXWhBx+v-2eUy}Z4z$A#Aa
z4GMMfbl)MG(!oA*|8nRb0&r9Ya4jG>iT{9r8zHdzTT;Ies6hmF?BNjXe`2Q{=X<H1
zckJuOU<8w1x^I3rXD+dnDb>J%`Y#l%ED}i7`!gk3La*2KdyCyy+tdRkT_(6=T1B#<
zvSf3I-|kkzRQ*Ty|L$shZhlc`z(IO@7f3Z!YR6V`anYWXfc9CRu2v2!hNn|~mfsWU
z0c1}z$9GsvhWS8*uDct*)4^#cYnn&FO8&XRbCmf}=HZXOq_i#&Xv3QmVSp0f9!-0_
zE~wB)X(cSD#U_jNO0S!-gyWfF2*<X?^SQ;{=TD5Riu&ZKzEdMr8JL65B~km}XBi?(
zk{v^(#+>x_Ey|v0<;*wk7>*(=cCjT*y0FGqAHV5F$-6l^DcOHEe9FQMX=5`Wy$ygH
zdzc^xi5cZ(WNn=ZM;HFui_k32q+a;eua_V{cAOgYt7s9nGI0*%^lZUOr_uV{GY)ou
z@-+GUsqbcbnn3j>B_YO4b~{zPyE;WqLInmB1QwM*x8+aQj=vd?dvc@Ku?LlH^i4m#
z-JeO!9U>Sy`yzuhwEPU0giv7$8=bu8)tiR(pprTJ>e|}8iIJb;lc2&6<VII#n}OeR
z<`utskZDhu5_v>>d;9REH&SqsES!juhc0&)bU&Wxl5D*(v1u^u2pGzU8*PXh<E3}2
zAWll8g&?KK*9bkrT&mGEi$d`+>?+1l{~<g9l1pG({WmbxIt)7G3LdI58o7TXK(R(N
zDIl1xk`FiF2o^*GS$lIn{yOkH3!pF@u0M>Xu<L_SPv9wHzv;dL#%~0LVb1*SdBClY
z_<ei#Z9BlNuNxW~`fi|@2i;vFesuk2!aHzFC~)ib{SNrMP>_3|OuOsWAfm|yp)w-m
zMaTw1J%9KCIwxL(@|2)!@1X0nz<uCs;D3Dg1t^#&CnrQ4e;USQd!8D&wC#C_Vqk!?
zL$RG`x0c3>t?WbPQ%L?SC;=XFt#V%#y?u1O(>Bg|a#7_2-v_Tt7S#Z-T=XV;_pfjL
zD63Cmp$iXL)=O`oout3o45V2$al&PDcb`s4dh%vq(%JLZ|H#Ewq|#AAMJ0w1Z(pR|
z1^u(TE|WrB&fiZ8wJz8<A-)q2h23bi3D3ro<zu7$8dEmEUL`9c2qw&)WQv399Huo^
zz0klxiT93W=!tL~aPveDfC|^WJ<N9f$?t*TwoyNxNPALMWNL>uvalveqisr@A0@Zo
zj@cKc5xj?FvMCHB(PH#z?<a~!8u}jS@BfUG$xo)v(+72A!J)E0hO~z5ROhr^{>&#F
zIy*XwPpBx!g8<d!YzniVzlSK=GLc2*PKiny)zH4z>ShmTG|$V`#~Ru%VhTh{)egQn
zu?Cna+G+bpo5yH+Q?uvZe9t3|scWqvlBJ@eT5Q0Fr699vD0otlaK|f^Du1Eex&JnI
zmOrZ(dE&cvf8QnUM+v&eki(>VOV|Nx3ou4YL_(g#LSNY0vUHxAJ^N`=UT#MpDnrZk
zvaS2N`4l`%fu5e1XcGPn97zzW;30ya6j_zt5b2FpmtNW`UA{rvm5xbYk1r}Hbj5m=
z630>7058?jh2SH$c^>{4cn@wL%869e)Bymg!<hmH>dJNQQ98hq2dy4n{x_&u2s~Z@
z6@9?6QM(`}EUXFtkN?q!Dh_#byS#oSeu|jRbODDVFyR9ypfansx3{PJt#{WsbwCSZ
z7IQxUs0u>sZ_Y=-ENFfngmwLPbG)HvPal3iMex#p4bT5u`ss1k%xUlm0x_xviwIyA
zPOQotrjab}@jH1qiLuWGeO3khW_ALc9c;-5Ew~|&Ay-Ldy3Q+QnplPNKhCMv+3pLT
z?+0EaGJ>Wv{>OGmljO5;RjJnd3xx|HqhXeOudsey;61LTLlXBH?zGRN8AFT2t;PRL
z=;w3Mz=zK3><?o6mpVhu#{e^WYoiA8`sDk(@4t)xRufA}hJGqHx3Lpqe|ao~7zu}6
z)I2w^(J2W2(;Jzv9#so!-W*t}OEdI*&>?~(hpFB8mju1>%_PXsd>Dli(QMOEGh+lT
zx}2p2p$uB%SSqvd954DzJDU2q(!0^chD~R;U_y?%H;-d0(K3ymO`iW24@!@b>4$;A
z1$Li{I1LJf(rlsq-~LR>*4CC6$X>RXPX#<E8Upu>TEnUE+M0%q!6KT4e1T3`@blEM
zu!7)-#<BgQE(~}v0Vg5t)9mLzt$4|Cb+2;>$+|WaR-|fA4C3i!BVt~>c(=B=6w~~$
z9^xcrBfhr;eKvh^!bN57K;b&8gj)#ZQP}eNqepuq2p$zO^UQ{80s!*981#RhfU@zm
z(M8a`s7IAZlg$lh&8Klx1k&;OaV}IEwVW7f%F+{Ain0|OqFXMG{jM}Ba<UW4;mi9`
zP;7;GxWJ5h{V%AW@$vEb4EkvlgDw>RtHc2HGPfFU#$*eAAvUc4o(=@{tPEfXmtS{-
z|9H^0e&9CZg<JHrtl8-SQDA}C;}AFmDUd8*^E<3|Ywc)mM(m=;ErEwEK<U2g{_7l5
z2j15~4?zEJ008gXme=c`x)LD-B6#?n$qj<JY<b@_|1$0Ty*#Y#`pX7+11fGF5b%cG
z&TO<i;67eoTbnoiA}XF&YL~kU>V6si0yDKvmuw_At|x0L4Q8#*O0u?700ty1Uc3Ay
zxdPP?SX*rq2T4T$BX>Y``)`nAbj^1+=Zi(Y6-Kr@VDouHWf_&-Kx?Q@Q)M73p#21P
zoImK*i)}n18(5@GL}Kfpl%x2qzOWMGBj7U8arNDy%tg~3it2r`QgG*>BJN0D-u!tq
z-c!e$dAy@*K*amqX?Bx%(*2mL3w_mHv6B9p3l&SpdC_^Ce!f)JQ6j78*BmoimWoKo
zvu#dWvFA%<Ux_toi(#e2KNCD%U*;GRzIz6;c_`M@HqTrR^>}@rca=%Z?fUc*tMhp*
zFpodH1{+ccK=D$Yo}L2iL!17&I7Y%tuLk*9J}(QxixQDB&ZY}L00kN(In@AlhG0b5
zvaFUE_Q&*Xp)x8{yxvpwvRR{FUr1NDLZrH-kTbCThkQ9-2c0x6nEA5`{Hr!@ndyAs
zoEgIp<#Ve=*9qZ|kB~*?O;L)^xZPpuzWNR}UYZ16zrmHR05R|%BjMvHH%zr|I||pf
zH<~Z753ha-?2R4L)CwA7mxl{U*EO8B$_tIdKHo%F_!52Y7YxhAMH@Cd&ccE3maH!I
z{?{*;)1il0xPbF|g*Sc_F^oy(+ha*r?4k)H-5RBq{OFRA*7NtuZaAbIKFFjLf6#E$
zsY|q#F<%=c`ZKv?bJZM(Zyg4!*eg?P!umWS=iNGKT@<Qts!eas3#c>RnIF4IK(K
z{?~rp__O?+qkb03H>-x$PvdOy=}-y6kco)VUIxQiQBj$qXadpu31qTkPFGrsRvYrJ
z6Q$$<sm;_>g1*@QO%n??a{@LUM%?j&>TDQC(Vc@W^*ZB|Oft<aJDWPQYwGSxHnfdj
z1>Kpt)kc;~_;_WC7+0inmgNSatXL>LiBx=F1N8FF1PeNJT}+l6IYudm@^kQzgq8kq
z$K*ru;gH}HXhzYb)B1J$Dp$@5SKXMlP9iQVgYskfei6nd_qZ0vi08R$C+5`gLTo7`
z?o^Gp<yMBNHPw-YU(dx&Z(bOJa)Y(i)#K|}V<MBmEzvk(nGlbd?ScjhJ##~c7IXL|
z9>g$JOSk+*umO?=?PVAiuK;%ooeXM-7exmxjYDPeZ2qPv>O90wzSA(Xf?t{zA`Ky|
z)Z`9Z-_}_O*hl-f>dFR>!y=khKKwKF%Z7VWi@|`O<2ugv)Kskbm`te$Op<D4Qms9#
zIYq^Pu{XgV(p8YWgE*jAYECR{`tg+UwiS9(;oXlBUnQLZCgQ7P@cWrX)3ycx#lcWu
zY)#Py6$J0(R>z$)ZOTC5#%=EI{=D~{xv78clahe+&9x~XiT5Y0oc?Qh51+(9Iy?EA
z;waC^aTyPZzEM@a!u>Q@UO8t3&oG5>gRKxU0v5?BusY{7=PoN0fy$(O?Xv)>1VZ3<
z0zQbiEs$y?wsTIr-R6gU^PL&Z<`{K^gnauO`BM*05%Zb6#Ktq&HuI*S2stWVOK7`<
z#(XrR>4dSVchxM4xN6E?Unv?Q;)3!!NpTjg0D0@LMRP~2sHm7U42IsFd0~x5nrslN
zjAR$1aN_N=;N}lji)AS)6W>Y;$BRzR=9G)hc(MM7T*p=*2al#b)q(qmQQb^vty$8R
zY$DSYy0*?DZm?3dC6XvmY1)E(*hlG1S{)24j293P@r>sxwod)BH$TO_bEV~*`$3_I
z8#f&4M`Z)<f`S5L-kfK%hQx80!E{8(n8BF*8U(YN#NYiy`$p9=OS?|NfkVgUWd;wm
z3IyB58;>3d`Be$l`(EG|u?x@2V~Yd>>4?4pZFolz5yAO33Gq$UJndoDai<eYTyXHq
zQuEiiY5GaBb=*1q+tIn7e#!nL<}&!S(dgQCl?lGwbZ{gD7b0*FUpV|e+G)a-RZ0=D
zd2mqS^=XzuaI}7gUqVtc!aq8oCjRn-MVZhE^C4X$HWK`lV3r+JC+;8pA0wi?GO
z-kyya|9#?4F`47nDQVWlyZXqKI|RZO=6?_{vP{RBm9Esws)YxL?q@!4uvvbJ#1%DV
zCu<LRLo5Wdkb;$;<gX$1&_*9fkIkek{RzV6=sv{@i;qur9O6v)YI_`LPajVuB4a5V
z@y&kNETt792*E6t<fNAki9)r2vvE@8il<9g1c$vkj2Zz^ZUAyuCw^8H)D%o7JEeNX
z*nrG&;giKvi;W_iAA1MI>8iMy;b>@l@pF|*5{FGmj<xg6&2KQo|01(|eWwfW;|7x-
zu(;DkpVo1IauP$9MIxD^YLy<*w7<mjc}gR%s-PRol(g1l*RbDq;v+68DyqHeeIcVA
z47K=-kf)w<a!MSx;1FyH+xR+v?GGCZHxNoxvZ!k$`t&^YPuGL{hjZDj+xwFfXGtn(
zxwKMhzljp6G(1Y1IE7xGFdAYKDLna>R`_mv8}O(amQ=ff8tB7|7$K_HE%>-%P1LO&
zscmSvwz_c3^l~Sbfy9Jut?JxN($Vuxmqq&~vmdnwp=da{gg8ju7GL%UxMKi<c0KmV
z>eOO$z-BMnXnosijo@{t{|q(3uJe^>%Z>YxhqYmIdpqS&-NZkK@5f%<>wxa;<Iy})
z&oQ{z=XUgcWx_R^?Elg9l~Gl7ZM%zZq+7bXq@|?0ySt?u1f-=)x<jP98$m)4DQS=r
zkOlz>&-8iExBoB(|Mp%n@B2#Yz8{?~H99L<#-fv!Sq=2$#8PE*#OJ%o4Y1<x#z`CK
zFpGydPmR%HKWQ><?&nT|KEl{Rq&HZ|A+EZLiSAv)jo+ePJj7|?45Ig6x@1yP2!B$$
zsI144))zh5>B{h0yr<L{3D)>*`2IPQwJT|^znD%fI-0Aljcke{t>praILmIMsA6Jb
zV$ep^mhwABQ=-fn)Uv8WMx8+2+TZ#WDETo=(46bxXxUfSaaL<en9b6XrzUvppp60*
zAi{8<GOpATHE&l?01buN<<WNfIt_XcABIf9kiDC(D>~NH?F!np><$!yAK2lzLs6r?
zhIBQx(_+D^4I|4X<Je`5(YBT_W~)?0MMb#=wm1(<BXg;8$MiN<M2Rh_n!<%tIOmxW
z$>2#7;Gi|8<|Ck6VN25HVnuJ?N>{4*!(NDNtgKADUi(00qwpyg7s|JVC_6&auwwd&
zu_!ed$LE|#q-U52&%iRnmosC?zcBk*96p3~V)EQqdAx)tN4|mA5~CJN9j2_Xo|{~~
z47u2zD6{N-{t(oJtgb%9p;PMBn+;Ta`nRB-aTmT2Df_~{0{eejfVoQ%HnVUne+~hT
zkJF7x)2RW&Zk~IWo15YRpN|?Y6_|{_d`Ro`J^w+|O42#iw{l!=?_V&tSQHM>S_{AU
z+L{_`{ofLJ@|!O$^NJ`##EIdwQ%aZ|KXo6PY3=S&wp~6vDP31eKSM^Ql?_ikj1VV5
z)?>sQ-@Pc(5FTB0kTI|!W?<I#Ofl4yFON`pDNHsk@>X(<Qz%24tTi=lq&l#0il|?4
ze4HkQDx!=f-a?%T|IP<KWzu0oMGm7J0Ug91x{0*GO}0!uP^?u|rwIuNM9U)0JEf&`
zr4p8pU*DDykn>x=K~|($|G9|`+3jYOun+FL79;=F$B~}-lEWXg;nThHCnN7i`B5h!
zhe_ZMdC5n>NSv~i75ZR6W(TNLr89Pb5a<)PW>tM_(<DfqNJAOgGN(Mpz2pM}Nl+$>
z<F^GYl+#vEX&g^6mWc=n4Q^MFF2oI|vQATx;D&IAC|AF#Tvx>bA!-i%pm<#}nhaeM
z64gM%zxc?m_UC8%Wf?H8mh-PyO>{F~94kog`2FY%BeluEN#2jlT5jc3R$#=Z=E3l?
z_%L2+%}Eq}^EzMN5=6P2XDg&glI3+hO-+5$4Iy>eg!}kG&9k_km!#88u46!r?ph`g
z7j9x5V9N*JE`yo=o!iO(o!cfj7b1Ws^;dfc+@L9&d)s*3PNGoBHx%$)!oMd!zb0?L
zgS~sP+_TlW!rtH0vvfa9#DW-zu6j=?$jGGBt%xFn9hj{1_x+9TX7l6z97rMyzIh7F
z-wy~Fj=m?0cv}>K0;%ZpY~dq*^Hg|og5iFTkfIIj45$&%l9~Y9_Ny2BI9mcN{om4o
z`>95UsVpijp^VItIA*isXk1O_YmT`aKO3L*26ra*s7s}W#T{c?%828zo8&A!*jlr{
zly3{Hx$rYOS?MFrs9mIE>oeH|)w9Be*LJJd=uGDdmRP<552HGscGEWgFP*uxSP*eD
zToq(=e7XDa5H{pl1SYh4lxrITagHfNzJ;MbH0jWX+SdIia#ufEZ!@c~QPb9seV|Zg
z(M{dC*qu;Sd++Az%1NGR|JNYCOj;3uKYt1;o1=W`<Wqne_x%gid$804UAs5bc;G2u
zgK|N?j4xPPh@<m+vMg@7+|Y#2R*<{hhq(Fzz1Z#Knn@xG<t-zWlr*|jbgKIrVCf^I
zuOC)n%NS&Qo<(%GCK68XwHe{B_B=Nm77l97y}+^jMF#*OiNXw9vIgQmJhLb)*F%?v
zib!1{%=~Phi0C%U59-%q(C98M{TuUz6)I`v(WMAag@Q)hSi?C}+KCXtzBckJD_UpR
zn)KMqn!EAtP&0&Q%F{9q39w%$_INYMr-05Mi%0H%bHH8WKL)59eaG(!NT97m$Zhq@
z)4q*(`3rRC-|Pt_w3Yy}bH+~Oj8YwMt<y_U*m(No8EA7(0lcMt23>gO7n?-#=?Nl$
z|B>yB#1;ql)y;Qld{kqkmDgZ@|8g3P2OJp>-<OwRLwa7Sjb%b#2BazBzfyOY69W7x
zj0`eiJ#7a0IM0gt6B6snV_(F5FH)d}|Mqh?LTbjM;ln#!AhZV#pf5J&J?!C`O7u3T
zk!){2X2XX?HVX`AXrOb4<xeP)9_<Ua7?f#j<sPa0T4{R?(hJJcgnI^Hl1O;&(K#c(
z0H~}uQS8l8I2L%|iJa=*340yFh0xBKHD*w}pSyx<=Qd|6<CH-QfeMkVT^%qn0_`!~
zqgeZ%ekqE$thSr0xV&h3^!nKt0C$%$R$oDKPZRhzNT+IER41l--*5Z;`%lxC`@RGn
zjuWQa_N3c+11m6rpzJh{x$8mza5`JLfDE_2oNsl$2gtzCmTSS~%x8>C88$Kca5c&P
zn)iCWHh#IAoJ~*&7d_@iqa0)SCY~Z|&h&0M<qD{1@*h+4?y3P<d7@<qM^z0G@-AsE
zvn;i!ti;qsRBX1x)RT-82jSHP?qh%CKR3p~x=KN=P0c(x<crzzMc>y1Ota&%J|{O$
zatGK>S0u0qR=8}X-Qd~H>TFA8iD#EHE4z>8>9<Ove9+5o4KOy>ujQ{%imcq0%s|ev
z$;dI!*o`?_8uF=AiTxB2VhT=}?WX_THLLAzmI7pZe)-nK>u)tadTjdBc9|1_XchCC
zeEaO)$KNZxr~7`Q6uX~@(1z4j7LOuL@)X~A=8yA!0jhZ<iOo)zz71d?vCX&;xdBow
zr<%GxIYVv9&j9zzE^jJH!nRQ#L&oW+E@N4U!@ZU;nqfNH@A;M(>bwFhECFc=5$!p~
zi>$^>=?cKrav8)^)(kF+LkkGGB2PSCHH@h<)MCda{`Mnt{uSeGDV7AWUB{ST^W(PN
z0qW|}{dG{EK#%&6J$?n=r4q?(;HIHs<Lx1c+z5KT?8NtK80VIN-nA~00Gkd=@e{@p
z>DiZDA}MK2d(^!I{a2KEOcT@SdYz4(jTcubAD)2|`>uE6bGhx794Q%Wh-3;C%T~3L
z!o6Fdt7|;~ZEi<@UHi-5_>W=bb2=%+D%lO#W3{*-@dqqMmisBdKY-AffdPq(HD`&6
zG(Hjx=dttVf^4qV=KnrDJulnuEFD@MWE`;7_wrwPK$$2WNh{5lGDT`~FjDy>Gv9Xw
z?_5!Y;XYMTi;GNaD!eQ^N^w!(wy`(#s;I_pl(AdIC?(*st9&b5KR^`F5Eep#CW)MX
z+g36+g2XS=Vxz<8`=#7W#)y@wOl6Z)eK<wxZXI(UwAR08H}=>2dUscBEWPK!;h_*v
zreMTKN?jpIX(>?|2G6}{E-936OWUxC$W2YG8OOw)&Sb?c7aOtV>I+0Y`?m%Jta@h_
z4gcLRXTJFr5pCWvvmHK<49+5=(?ftJj&fG5GwuR#XtPQ7hHM)JoH$Wrx&7f|Y;cBb
z2_cYc@B0ab^%KpOY)1`ILBEcVfj%hk$NQ&Wl;KA0u3LOmAK&!IH8M{#i@<61@&@=Z
zz3u}i!@EyEE=~4EOY~S>oSoxGE$h_2J|VX{gV#w^x||X{uHUWq%a^b=>KQy*FEZy{
zBg1<W_c6aRhp%`w8a9h72b0NJX3tRBzn?u3T&)~}|GcKJj*<JEA-FBEtJRn}U8VDg
zPTnH!wP2D}ED^V?aZYSuh%IwlS%p<?yJMyc1;-ROImrZq(&GrBz&=PKm|nkd5FsZF
zI~G!E@t37d{!wWGLELOf<}-agO+z3+(8T1aqeF^mckADWN<H%QSrF{z9D1?NWc?ry
zR3Gh{71#J{riXJnvTY+6<k{kt^P^@O(7u<mbS>t(JNJD6jU*>o8114SdrF`a@=29?
zjO`VDY~;7!WyFlQ8FkgQwTIDG%$15ELyzz4@X#UGEO7vtD$VZXieV6MIPq1`2+Q9I
zdMT>&(9lclio<^R^D%pg&baNOQtXszps^Z{l4?$-><u2|TGmCO@2$m5QSkCLLT{c_
zy2;}Bx5>r`!?+<zw^c{|R=}J$8zUA#YZe6R*|;B}-%7GlxWcjHvkl4R9o9t}gS=gN
zJVwZ{(U4rU1zAiofwDDnVc`d;A7I6_e)?Su|L&N|%WqFw;P2AFW%q&SpMDhQ<uDcg
z;v?f<aKhnW0RUc`3~T@U54g9N;vwFjKoXtpJh|<=%Ct_u%RN_t$wnu315fv{#_9nx
z2<kn3uTZ9X)>-f(Led;mauzhmjeqbt22H0b?8cSz4*xEYmsg^Ni@6*!sPf+N8zcfv
zx)jg7&-&kjWStN^WYgcCMFJMY518HzYRVtF(vIK9m}*8)bHIvEMBju_rWRS%D*i~-
zS5?t^r}Va(A9DzZPq=#`qr)LMEL7YWzH&S)h)xYfi*h0qso9~P)-foVvBjVg1h4$V
z;eU8k9>}G@OF3X2o5}@RBTL69p(`;l7k<`~c__(yE*x9@uLM<ch(X?cdj!MnR)<RU
zoyD(|G_22Ils2D?t7{~*_PHRUom$1+OZ>Aom$hsq`uVYW<?l5ibz&Q2an3D>B|de=
zmVIYveP>Rh*i&~AXoQ$fVAUo6v3fbp83#~&kf2X1?{g5_cE9n0@+`USjnd)foKiZv
zZIfY}i`x_mRjV^U3C2rdO=K>L4|npbgCJ;abXylG$g1+gXW}Sih`LlX&HuOGOncx#
zCH`3fBG{lk-5h-{d**o;sBi`Zh-|2oiybi18jH=Yf3t-#Go=w(UVp6^s9rQ80j>&5
zA`sAvm%%XS(DLiY!ugjQTB^ZI<|g@Fv&46~O!)YU<)4Qv{1)sYA}os3xJx*joMWjy
zI=E>$;h_O#N`Wbv{C&26lrb84>c2y3Gs4z{53m}Vt13_0`|DoUUDo;(_-B6k8yy}D
z36^DZ-M+!KTl<EtOl2o!Zwf<XhnJiP-~l9-_HD^&&u?A+y0*!1`Pl|9&@7o&&6}{o
zJcD-K^((3$1DG5~-9Vy7k(%$iVgMsJ%|UL8=V#D*2+RwXV`5UPD=U{Gb-B+bEH)*p
zLlByOVY8SKB5WB+Ro&%9<Ano{D_dE!_S_`Rvz%88Mni8?k$7WRKTr~F#BN`wws}lp
zQ@xUjk&iA7*Gu9|!UNGujj^TW>ea1${Kks_reSEhnMQc@`kV|CD#cyIh?`u)Hl9Xn
z=016}lq^DiT=AMHvZ1&4Y38jGeJW5*99>tB-6IIv+umzgE4{hQOs^coI>R~y)QJ{~
z^p;@O@pQ5VAW44g{E_Z9rWE6m;HB(?7hXJ<<d^`|zL?H-KSQWTZv%LC?Xlqfx@!6|
zFCzn2TER`5nK|lICh5(%-XlpZp6DIOm@1OY{Qjw5>9-Rz!Z)G=iNG>o-{ni{VEa&8
z>f87OcG2rUuG+6oks(PxQw<g+li1DbDE)e0UF?E&rU_1R98<X~-M01!QQ=eX`vuas
zyDx;%4MvT3M0k`e^fNTb@FCWCq+UaG#79s>g8B|rZ)fcL;f`32JKlZZ%CRcX;x2D5
zVzkt#_Pj|SDA5qC)~aFD%H8ABjtuES5KdZdId@1e_79EBWCf#d$Nz?yv)t;e#j+TW
z=fNpDRoCKhcOb(dOQ~5@R{^+gi6Z%i-UcXtHt-c=)dr;l>+2@qt>fAKdvAW+RH4##
z<^Z1>kZ6B4E@7@Y2y!pIyMnU!d!{9Z*Vc@uFAIHY`opD5rEnNa7OmG#WO_^%7b1ne
z-2SvWa1{W36)k7KHU3B#dVApzh5o)%AY8ERZYckQ_i5~^{G^X@%-)O_w!N<-1dCUk
zdNXL>p+Rqz-8rRj!z!!PCens}KNOLhXE}7n;NxOJ{?hkR5OVTdhhv(4fcXm7ic(Wi
zx{wxThf-1pQF57cPa(RpqiaHxq-}X+g*0A9{#1v$rZ{e@{FIoRJ~|{#jX=>FHf_v~
zB(-6yIZi;sXz@g}?map*w1tH|As}42ek$pT;6HFR(yrxi11l<@GGhl)FWIFRtY!bj
zU9tm@<4P-7#(0RjaXeEUT|49}5O-j+WLcOp#~Bx->lk8NB;Ct67m(s;R}P*|8(Qq?
z-wLT3(<7Tz`xbv!ahJYX7aI^FjgPd?Uef?Ya7s+iz1Z4M(D+R+Q7FTKPu>Nt)V}lb
zN!dpDqnb*#Vy1PBA!iAMvXh~#G%LQlj`m8kEY|)P4N&jwcRe9VG66UQgnV=dq{~WJ
zWu|aTrKRcXAC6#Cr<JG5*9ca%g%6+wCpL761<Kj|<l}CF@RIv0uMZ8uY|CUtwMoe8
zyVby|=)+NA{}DHZ;qoj^W0n_4z(F|zMJD5Kk!L6KV~(@FBbnCvLSA(=u>bN?N#jRk
zgO*chm)6%$yt|gmP@s|R29ubDaLMRYi+rqN7FhC%_fK^6)0aSB1X!)S48i?!`wRuT
zQMao&e&?+x`TXLI(|~+ijCH}ITRwbfQ;|llU2;5OBOBxR^QQU%5WEyfMw)~7V<P=N
zcEiRgfFF4R(V10ZoW+qL__-8;=z%N}MHDx8&d)KE^$9HMX;Sh7<b`}5o6t^g_Kswc
zII?`@%c2QK*EE1BzoL?WrRhYUWNyNPR8;%ynwEBQqe^|l75SzZnPFq0>?FTx(Y@yi
zg$X>V<CZB1Pn&@LadcFC)2N@(^Y`f<SUq;$6h=EM%p{G{;ZuT_(Hn{J;T)=le%S@o
zwB&NU_q8HE4TRFzP<xWdSsi<%xY>!*jTQ+00J)&NB=SrcZ^UT4xhM{!%QxC^T;g=Z
z7M=Kn^QNi*pO}EP^-EyiIX|v+Rt*^wfBwps)yaNQa70+NjaY}xT4G^J)*kQk;5YpV
zkMC;}l?-u@PxIs<+XAW?Q5+!cM}tWo=lQ_gD<QEjK0A1p*?WMEl`WYWZk^?&i>6aR
zp}KRGW1!(x)@0H|P4K-K98I$d0ks6fOjpR8x%?#YtDLCmAFWrSiAK4SH59fw5I%D5
zB5ErL{4Sj%upHEuv5pK!aiRKp?k}Hpm*KVBVQBF0eS+{~&KQ*tj4W=z<P44i@N=!7
z*Tx@t5{vAwy5%aqXMb5Qs(CX~FxjiXbY0>p(d(TL7h+KJyC42(W=6ej<pugHpU+23
zo}DD7ZE=T{7eXj?%K0rdk4&qvFL?qt`ur~G$xZ2~*+SLi+&5_~1%H+yWG^8;XEz4@
z5J5qYF)O0jZk$9(>+{NsJTdSg;v~ZI#M|<+%521Yn}t>`zMK*6W_-_;LOvfK?160q
znCE~5XOBV+Pg-M~dx9mBEAAt04hbb|dycF_rHPp7wO!d5nGOD4;x`7>skK}p%<=n-
z_cYh`bTuaJ93M&<2&aB6@TS5LOic2~=f4G>V9Zs|i5K~kP$R1_U1O9-FW7oQ(~xlM
z{mLR=N+F;p_yr9be6H5+u;oU92ucw@@hV?epK_x6czZ_%@W<Nsg${x5f~AbjtQC%>
z!YNCgtS<hJR-t~C_U$B7Bk-{8n?UY2vFBfJzctwf6%b}lCan9Uh%zuEHBlmB%+yGV
z3!-@lyX!oZ6kwiRLLi@!-K5*s_vgstO7aYqhFe%_F4>QA-b@-EmTVhn@Z$-CT39`?
z@^T~*-5d{F)EXNv<K+W7yl{_W4+H)g$x5s07|KIjQCe_w%2A%rI?6M2MRN(!LT}c6
zMA*qUF)CDl3~Yr|#(1GZBX(JJysUB%e<(Lmo}ta29`&6fk4@e0R9o$HjZ#O9pm%?m
zt<9fyvw^VpA=4*_{@`yUP^+=O59rBvUNI0kddQ#31rd@!ciPx^Q6J@aBkYV<cX_73
zwANdj2oU8Cqh3&8B8xldmmdX&)R{wL2Ki<+B#5bOs_n=qcRlpL;XyUuB-m}n#M(8m
zCfiH6R5o1>Z<=mWilY$UKI3R|0#OVj%}q8MEZ$;!GGfSK0tsblk>>5SEa7Sj+I}wU
zY(7zMn?ug6l%FrS;ZYUP$DrtAe2cU|@<qw&V7@`R6QGTFTTeK84j!gcKHq&oNKY%X
z+<wKI`njnjY%7c)gc=e1H5?y1+MeiAB*h!{Qj;zetr*MvDU>GZ)qKLQ3{kJs0IJ+e
zZsiH-#nc6&;BqY%5koH9(JV9uM7mr=9bG_>Z_rr%QpTxAZ&i|D8YCLf?pP@e?aiTG
zr9^F>?KS^(azY=a%O;t_*%HmE1uKqc4Hh6`x->Y-4`fV?bVTWL*5+f!p8pKd4MKmL
zSkb~Lr#)Vl{n9*l{Hj9&Bhrrzx_?|@Hto^owzn;(FXzs?q!q^JRA-90mnL17ziEmi
zFXO*Dw`<cI4+!E50kadJ=gAXCduP3E+McJ790<Tn&=Nq{!w#Q=QEZc48M<HYUQY^m
zWO&L##KAw;*e@q1tx{+!c&Hwz0sI9g*)7@dQ+clsRS3!>v2ikRt^4{*ko^Mtd+Qet
zmk9oKwhc7#_S&P)+F%s838r56PrP3obb9cOrkNW`Q@CT5X5z9m?=9}!tL6=?z@emf
zcFP(Z0FYf`5R*YD2`};W*n2-%F&Y%XEFb>{5AzVY95R=3s)hk09thRd52%|sV4G-U
zJu>fA?tBO^LCD+pBOBcz??n4knz$BNebXIw#Ut0Y60zQO?fIAW7^gq0QJfazY(?K^
zx}7sgCuJy-hrCkb^ye|$L?^iYN}dr#ZUK-2^b6hiM{40`!1QyXOMb@bxwnt}HkpJ!
zQ@4#AV)YpV-!L;Xvt6pJQJ9wxx@9>VU=t7vw`srmU37G)bJ_KTAPyC3R8m@yheApy
zYT^iZA=GMp_39iu4E#$Onwe$sT*e<`x9+bjFc`?BP)Cp*l8vVw2-~I#{{AdqZFQC?
zbS|&Lk{M4DCuV#Pz*Q;aG8k1;GEqz+(XvGlSTy6r2ORCkRy)FeZQ;FD#U$tP0pB?2
zRS?VN%P`GA8U&S8@`M&Mk_AefdF=<{MiMM|I(!5f{e*B0xJ>M1=B+)T*86wVi(Qnh
z@CI&-;;#S7u&$}C4IWI60&yx_1WApFpK#zA{)UTpSqWB~^qvuwVB`}q?Yat-_Ece}
zy8R?fr}!o*jiDfb086X^zmv%`C_#@Qe0Wo<{62#SNC8@!dRjF4wNuoH;e&(=<Q=ZQ
zcqQ@+9Y|nAIWP5;uuuD1hPNPzb}3s&X71lf_P=2Up(-bPcltP8emd`7MSR#!3?uE4
zS>e#O%RcO^nI-;Rqs0v9Y|(A&anwWGd71E}@CGJ+rGFNdf1)82lRGnSTome8)F=|}
zMUC1uI^dx7F!~F&B@+RHzL)<HV9pVCqjpdg0t`81qsv6qYK)#jc?CyK)u~$<*7ha7
zY;w($W^ry)*Ue{0qTcI*b$@jk*7sBQ_l-~dx4qnj^6azqGlCE`_5KmOlj7{jR1C~1
zWLAgbgA!0Eeh0rMn^+0>;(4D_b?~I!$i#}1)^8s3@}B!WxD+!Y{3wT0LPY%ln<<bJ
zwYi{Yp@GkYd0rYu4(-U%!VVdAb@7DZzaWlPnKUYneEv<9hoRK~u%gdM7kBZCcA$Qu
zDxE5reZPE5?pGmc0%;zeE9UHpYJAofKy?PdWLwPI9-V}3rMZN#E!Lx>7g6&QAfo>K
zu<9AvE450kurijlEyI1MI!UoP*_U`Kk<EInq67ACqX7@cokc5OT%rP8fG9Yo<{%&c
z)yB>BfwR62F!r|?fPW80pq<i4_O&U<Al~V7)x)<ws{(s77EV8B+_^7$kE1rti9BIw
zCarB@rh=x$O?=a_(=!;XBnV4^r-YME@#8fpWbg|Q!Io62&|Et$G&G1DGH?B>S>A{m
zulzBo-tJ82!>xBl9`M4Zrv1`TSX^9eD+_$Xyf`P3qXdHoN&Wnl)DqpEuq{%*y*EpZ
z3@cUL$g4&$!$qG=u!|0bKuD9)9~rl`<RL-}07}xD6Q!(oktV#>gz8^T^F+Kh|Fr`L
zzs$c7**!bvgZ^2!>BjO$obM29k)xhU*t6H<dS~!}$^jjB&l-OvebdJie2N1)c43K1
z9Gxo4GS@Xu^tQG(K!>Q9ljm!6Ha5B!&JEO%dL<J|yHM|i-{z{ek8!wwQWVlix8J{(
zmYj5m@UM*EB;|_K?088yZmvQR&<I2@L=6r1!M$jKOa+vLOHK~E)nE3>_d}1p0n+8!
zWxUcVxG!|g#b5B6FQ=~W>CX`6ivm(HQ#k0Ske`71zR2Gw9pJuJXE+vn%Tz5gU6%IA
zX;1<-1Rj-Axt&E5V^T>e$Y4x*6GvlDA024+hTyw39NxU42sot<%fXB#YS!9_Ac7D-
z4u;Vde<~2~5^s_s)<O|SfN)}9Es7z$IBJM<5=I;r?pPeL@Lf;P2AE$vP5E^KnX8#q
zi7nF=q>+>N5h`67bDHl)K;TS%+o5$<1y4_Q8Oyc8?qn8E{yy+Euys1EtUI-k#E%TA
zd;}7SEG5Y?vFM5CJnZ#xP-!ei1P=k<araYna8eXiIOw^_SE66?HKm4N%Q#^K^?E(Q
z&u4Hv5VMd7w229ciRZTtA3sQC)1-<gtc?I=G7zeRco{HAS}fG<J4IX>$6<3)f1<MA
zb6F|phMOYtFy^1&7H4#unV_ORVJ3$;{VF0U`DY|6li;Y))*=I!hC8Fv(@UqPaoJ9U
z+F6u55!iOpG+a*~Z`PUuJ)5M8`Qq$E5Fyti%rd$zx4=NJf^Q&DMD^lWIN-Mv+2|<L
zrP-S3NH9kCEiT*qy3tx6bd<%9iX><_2<0J46n+sfTCACO5c65}&#?a5wU;@rD-Pk~
zK!vWl_PAfuMHLFn0Yv6G6Oe4Z{8c^2(_I|S9i^En;m=66?6?rFgT;x$>1Vw?zB;1R
zRMmK>;m2if5kdhfK<>hmR?^62v9Dh)=E#(xLX_5#Skg=nk1w6c&*4q~+KSicyc&KL
za$ZAf`P9_3*zVaedjQJGA<A$N#qZGaam`^*EDg}5U~a#2a?T@Uy=6Uf`x1PGYz_Sc
zdt9T*YYt>8z=zsS<@!m@Rv&fxJLF9<*bRxS{Sel@hQvsdO89?*n{RPi?1pN6IzJ!?
z{$`mh1cE|wBOgA5U>!dj5tls8HZlqRK2tthi4|686|OaR#d<QGXcQ(;77?v$&rEF=
zizPX}QePC#DoLA6y{lDbaJVxJ3t_^Z#89B3`Y#Um=<9<ZWZ{m+jjjylWnN9hSdV=5
ziuWCYuEwyP-Q6NNU%C~fZzhEkG;4IO$4c6267LAGB|+?-H&o2nIopK@N%i&79Y_D4
z7T{wUOI!mWl!90P_(^pK-FyF?(uP%={6j{IKo?DgWn&yHI}R@IC=(Ot;#zYd^k2jp
zC`LXHDJl$c^Jitas-g7*f(etL>-mE61K&Ve_te<{Q<w^!Lcd6*7E?n9zEhV~ly)s5
zsfg0d67_+lxbNi(cw0Q{7rt<z)Yd6y{f8h%``;+)WL`332cE^Q(=>Ut{%FnUn3aOg
z>s7~H3IQcI87xZ0NJ;fttxtS58Y=XuNGcJ5f$XNepcl}`M^OUnHW~u@a)&CfCy6}l
zXTvv-kB>oA!y+e}FjpC-rUnN7&FU0X@ENt6JEQd4Gd*ZZGAF`Z(c-W^`_ET<Ql*0z
zsKcZ2@Q~=3Wa$_`q!C!SA{SCisnb~3D#GOie%7xk5QLTQ&=QKM+$79SPsdj{I9_Sn
z=0(YIPT5z<PV2FsEufps%wW-!Y{dp~QU~bwAiP?ml2_jVbx2Ls0CX5$`#%En|FOWO
z5kbel;s5QdFSZc?8F)bTkx{2-r9sV<4UciKD%1SqWumu)Z5+5GP3qp$#^k>#SKQrN
zm+}XOQV;(=i<Q=Vp<1N5AVlW?^dYl2Ya4AkgH9TVvGB@7Qj~_^)fgiT6pEfvD`L?`
z0uOUl%T&rsT=QebsHeirm`C(|q4sp*^8-O<+B6kC9;&H;2QN|@8IPz4uNlV)ayTw)
z<;@HhBq#}s6cUhVx%y*N42)}_MVUq+V9m$B!x1YD85Nn;*p1BA((=`!4uBv=r)|Vw
z|AUc1_GzhBwr)2_S&%6?hYz?Jv-);)z3Qn3_gbEOnVA}%mTR<nZNmIpl<`XNam!-x
ziCgCy`|nyeSnhm0PNRX^x7groAhplkOy)h`|5m2>?*)H<x?-=o2N5LGr{h_D04y7r
zrmr7dXL)%-<jxa_kIkL=b)1(JJMzRMqQi@0V`wVbFc!_4JG|W-9goc2xu!1xO(f8}
zJdls;a~%(N<MpvPmMCL5I?UM}7jg=TyPzZ?HQPFGsW*BGhb4zR=busA=$Fgtiac4q
zrTo6MG_YNzoj?C;xR_aY`2F75?I9O6wW!5H=Txw4ETKICOzAM9i*o%Efh>Gl!aJrx
zcn!(V=xD%~sK-h#AGY&qUK}}1Q!94I4B5iU4Dlx<4l+9ku$ZVzWA(w-lHi#nOtbZM
z>S*HGvnn=Ui(*ENAyI_E)KaV{DRZ0UM^wkDksR586$StFLqG<BAW)5Q&bR`@%JVob
z^z9DS=zk&~+tB~0SQrS@rGS?p_z30IBDIQ5!3pQ75JleK--Bc&FChxT3fs?L5&@Hc
z)S31TL~<Vgt|-1T5day48e_tHmLCK-e@N{@#Cl}Z5K)6QLbI8jsW^8k0VGlkD~Vi$
zg%$m-VX6QQqBh#rEmw1h9!hu0slr3%jDca2uHIy%2vzHk(=*=wHK+G+d?x&bKrFKo
zwz;_B=IW!JO5|&Rk~ir6(yfxfveF+RV)@>x^Gmf7>&kNXm_nj$MSGyW+Q#<6Fj@gN
zL@xB5LGP=00bMH*mooc5KVyH=%7duyXdF41Vvj@24np>#LY+d{AKi<#YZ~_8B7>LD
zflgKaKFsQ)7W$A~i$P}!!O8U<#j_0|+kmXtgrb>vCYZ@kq(FTLSLchD@k>byP*R3H
z==&PH&%@HMK19mW>q5<{hML-*pTcqQlc|v;>D*-i2{l+QWyW4MSJbH*!BE8@CL%Jt
zUFE2w_4n^mR~<Wlt)tsnK!F-cM6M8$jB#qp!_8z+Zk?Fp7XyAhdVHox8`&MLyYQFK
zq+9It>6sdsmMk9gOC?Lxq~Pp+d3a;hMK%kPIT*EBoqIm`#(j5b`@2M9TBEa_Th|h>
zQ{(s5fDRHz@aNdg3%b_AwIj#dRR0=d^~RZO6g)I1PJAqeg8k336yTFmo6S7Pu_VlN
zFs<RE3Gn15@|2IndW}V~<&X<Qv9UMqer;}Unij?Xpg_k~u9$`Q3leguCI}{jv)Dtj
zXX`%16t42K<uX;4QLO=a<JOhBf*Njb-t>(}f(&GebmkDiX1v*df8y#sHKA?`GU&-*
zP4|#8{BEtUf?p<>0AFxr%Ys`jzf;{~gY)ax(>6D<9uwTcW)o>$S@baeLo0-VraX0D
zG7@l2@LE<IIng(;NZh7ih_TO(Xak4$eFZ+bbhWQe_o6siC9}Ayt_i~zm(&^f56XKa
zNI6Y)kuH#T2`fkc{wW9<o%OunW2J)WNVrTLb_X^VJKM%*Ry`(2ckOj1DGJ!Yz)xAF
z3A<33yzMMIBBg${ht<sbr#>W;9dYka`w-sTrUTK16;+`uVZuCE0t<L|h%Lu;yV5Qg
zvRJ{1%9kT8BQkxsqC$rHVymSkc|?wKEBvu%zzkT3(1-Xr68`mcsXO0&Auxn5MDr}z
z-XbAQh{4fm3x`iKtd0M`WBmJtYu1t#De3nO{=JxOf$2+<*~OXr7tg#@X-leP-wkXQ
z1SxQiw6?WP$N32c&k=l@e7)j{Kh_H?Xlra*hk$gkOpJ!|vh{IkYpdv}Qvz!^LpgmT
zl?l4-rN~+ks_3t+SSN?;DpMu#Mv3Ma4nk}#Csb%Tynn+q8%;I}dY(Wix~cQ_O`>^=
z!LFZ4K?0&J!`j`iKfZ^HwZETL<n_|I^O4GFn#apouvwiTZPYDtnD&Z@h>)Qp&VK|@
z>7ASwOdu#6H<gSAxHOn^#;i0{(m6_eZi|YH1zi=HtZUf%Y@P$lQ?qnPyv+7Ojp2r2
zK(7^Ui?_55{Diy#9>Qe+H%#9p?KKaM#m)3<%*>z-(<?Fc5(b3c<qzFq18LXKb6$M$
zES!SAQs;CaMfw%xKgZjk>d$ULJrek^;$IwI5<eLsTy~<^S|@?$G7U4)N&)8C-u=Eg
zq9&8Ncg6qQONZBgPBpqerv0#buo#e_!qS6-a@}Bgm;cz5w6Jqr99K~9LGVeCxVfJd
zZ6;Yilnm`v-BHKpi@kXQd19_pg8P4~o5`^Oaa@4yd=bdw&zekx19h(68vbo)YMMRv
z-q`imslvy0qeM!B`5pJ1FgyFV!iO*4mgvneUMlJ<OJH%;4WK1tP<>*BFXY!94Yae*
zh82I+?Z5n@;WM%|@hjwZd*l}yNwj06Qvi5O)36*qn5Ti&X@BXw6!s$S3~L5pTQ|mw
z7(=eMwiW2d;C?8eFEBBB$sBzx1*~G*wEEFc5grqTo=i1McC0rbs0ZaW<#xXE)q~&T
z+1cX;T6!BGbuS*8MRPj!fB$h4i@)EVV7MXol{b2~5RAj`DIuxS74!<e359md$4@j*
z1uO#q<dxOS0%75zeA*DuxVp#)x^?~vMuMzi9=u+5V+~$*1BVo_Y+}~l_tf3oG`F<u
z`mHzF4p{UcLY7K`Np+PYl~+6%oPl~(^S^IyHXf{-=Ru$>jWZVw|DZoK27f=f1H-s6
z0*OaM^*b+V*A{3bPs9iM!>%4|G#%GC8o>g1jk9ipPMdA!+g4q1yF~o@G&*`@+ii(V
zLaC1mn(x@}JORlYm#odt28iBTVI$YbKvJ+!BMA(Q(o+0G&C1Mfc@^RbM43cSK#U@E
zLwQLl+bGz8=P!~+w_k$0(dTuvV5sT~I?k7zTCW}(r%aJ&(1(Ki{+<+hWtX#dTFH^@
zpk^ZoC<k<CcgHnkEPD?gDbAe!RG;FU%`8UuOHOGsTkH0^xv4Sd8tMPZ<x!2${rPRg
zZ*+4RN!(ciqA>c5gwfv9D0A=&1pj`)Lxu@F!KE|N#mMn)F=V4CVTG*oOr%eJPnf7-
zfFL<bYdH8ssJZJFt`&)T9ohD>Ny4%Z`Kcf-DpcQ(FGI(0P_8*&G{_+1FOg+9miFb{
zGYQAM^2)@YN%Ol73yy6hBcVm9^zjEo#_!2)8vCr%YrojO^-Yzp(5q9b=(>93RR)F^
z&Bp}bDxomM?+1u6Y0^JTuWmXRDTJGy*=IRjBNxm*$ISQ5U`hjFl6`p64JLIh3;Fxl
zKrk^vH0n0Ui5|9D!vKakM@N?F%iYYEEJ_sg1iovmI@Qi0xEAAs$pM~JiP%5Cbtr#^
zjeXhUO~j&jlmq2t5(c-;*a;-ilvOVt0fHl_bv))L@MT<Fq{LJ3GyZ-@43+KgHwXuk
zti^BNf;+g+8eLV2z%NV!ZT3i38Xn^A_qeKQd9B=w5hkusiNa=%n9q%<L@xeI0uzcQ
zLS1yNqe2bElb!*QuZ}Qcmem_TxB962eCCaxN*7n;+lFA<tSMaduRAM;;cpQO^LvRV
zdK7P5sF$A$b5ZgyBwF9cB9ht$e0BNTdp9D9OeCuH?yrCLpUPdKcz2xqB{?(1OzEwZ
z82Y_~2W#hh7c6)ntrxpbV6=3H81G%WuiXHJ2b#`p)=vC;bQC_#+LN<k&NqFXV(6~R
z+TflI6*|g{kxEZ`qcD~>xA9~%#L2n{TbgEl)SDQHe_@mUoLB^&3Z5$;ZHve_!HqKf
z1A+exy<S}i7mUEc@0xFGW7>{<5+TDkvj)Z~Oo&5Y_)U8}b2n~rL8FaUu;u?AP;s)+
zUG^WULY630)h*V%b~V}x+At4CWTPD}PQTyn`1Kmp#1>N)gChyg@RH6c_A8g$5N&@K
z*X!!xv&k-5cnqFPXS_`1!9$cwU6-~mZ&*dV1whCq@b3k`YU?(&YB4Z2G7?CY?OO7A
zAvgZb5ss)Ll?UJW`*dAS!(YB}n{C{V{mN=3B}RKJo`$?L|D~jdntf1_2Y~Pww(svg
zD(mLP$qGVt76fWV6b+H$%Rc-ZGKufwM>w)`Z;pOoFqKWP!b}yG^;a!bz7m97xy5Y?
zO%istj83Y})IxYCx2$xhT33FiOPrpTkx3S{h)zg?xAQl6Zr+?)Vw61O9Js99McX9W
zfnJiJ_gs(FjQ_$XBDHILOrMf8fRHQQd8ZE)7)gsb_IFO`c<?#pjMY522^vAjL>l9V
zFJ4yca!2cLb|FeR-In<iNvjJ6Zqer_j#rr$NIUV8C^~vTaWoI+1ol+Vp`C@oZM#KX
zqlJvr-%b~Yy(65Ijjgz{5w72O+3wXIT>gTh42`?~k5DgYDh~nkb>r|O!{~%>FB!J!
zRP5iEwI|O$83g$IgTxT5WYs?QXA6kW$o47aQ=~Iqq|U*lo{yw%a^%Of&ZD__P&(wq
zG_<?=u&)L<*7b4O=MkO_rTrqUR-uTOak`kN3|iPrZe(o@Lxu?nCH^^KvDNLn^_T(E
zjYW;)j42c5a*$jK8;Tws-6k`oPAjA_?o%0h>L~<nU)9UNj6{zF;lul|+t@am^%!YK
zn$FG0E)h)q(CDR&#q)JaOQozzb-u{qEx6YgZPY)di3OV{`>n;vJjV|wKj!`Da9?p;
zFtH4v>5{BS_yTPLb_c}FgQxp#FWtLhz)<ODq^G~oP@pzof4__OmR8>4_^x%q0{hU(
z^d&+So4Of|z2+<R*+~^FE$0fRxx<Us6&mXxHp!-r6FCf_pM*3Hop_$7P6iGZq7;39
zLwrEsEX2!S{Jin2Tkhn=`&16TvpdjFKQ%S=#bjExD%UK9I<=PqPkPF4q<t<n838)F
z&nUu|{6Otx%pCj2-!Evxot*L$c7*xthx63eB{enwn^n#Jdw$k+Q)m~r6td8bo^Gyt
zEtX~zJWSH*dn=ZleqSBT(#n(MoE{PRC3PiOT04vSg}<E^nVx8jlQ@cINSqDToXqiG
z)_G5i=HaS=F2GZi|GH_PutNahZ-S{F_Hd+df`?{aL9|_iUOThPAT!_KAuO^05j=PQ
z%SpiveJ4Koln0xQdSc5Lq(w;{-%VmeZD|nGc>2VrQN;>NHy@rGGJ~N;DB*Hm*NRXT
zM{I7Ai_(}Bo73DQ!$xsouGNL@aob|yUQ+=?24=(`0ZtKn;*yNjF~*bWFrrfW<5WK^
z45vxq&NsUB2v2fBl?0a|c0qN5^E;cg{SJ-8p)Wjrot-3!qmXzB2kwvuOWX?Y2=a3@
z+GpB?xVnT=yrJv0L5JDO=tY*e_L^o!lvtVhz3r2M^ly`n7^nGjzT7w4+{%K1c#cSF
zHu(o^Gv@V=sI3sr{m1YKj4pxUCRpo~$@o*akkQG8u0JjhzL5o(h;KK_IJPOCQS;?|
z;rb!f`Id7hcR%-NzOkFlD+reR+xaE$4>BnHkJ~3@4;5sQYMNr&FbaYMAPL`1{P<@G
zRGF{q;z?iLb+h{DDx^Pt-;ApMd^EQJ<`LziAPO+1lEur6T~((RkZ12B%NQb}L>t_A
z_uRQ(EVkbWV$-R4kUb|+Lk(JHm8OVszhXs=;)W?NV$keK4ap^WAyL_Oa{Bw8zXi9d
zWx)Wc6c71Z$16Vw<(`U}`LmmIaSL$519dC^Mf7WY_<?czwyVmaCgdX&bmWjw3?^x2
z>Wdk#jh@DmjZ=^WvTqv9RJ_|>Bok`fdOZ1d4z6nEIm08yEoob?*KAFF6KlYqtICdB
zNlGe73n>?A^BMmde9T6RL#}uzM%XShf*#K-&tSqJhuAV6W*A1<WrinyopqzSsDXSN
z-x6R%<q8ZYK5lMYc`8dk)n)h4u8eHn{#uRi!_m?^F*w1WoX8tVir2KX{K&)2<Ohv}
z!V=4lV8O7?O(H_vES=o%WD>UrHf`W;fsV_GZ$HPp*n)y!B&<=YAJwzgRWa#gg(>y(
zuPXf13zHP}ceXsmAn^SDH|zt=638ogIM_O@8eOjQ3b(rrKDkG+WZ^KYec#f>v_u`#
z-qIg>TUA$Q;5vi=lfgtT2tB0u$NqaS`e-4Xf$JEAFRgyUPhGq%;Fte?!*k-TB=U$J
zQ6xBTp7J=ZHkN!vOxWN12Y=Jp?z$b^XM(VXhGRwY>7ws3&W~>uXYQYU_rDFi`V2kO
zS5MW`8^wY>k8_Zk409KkXXGZxB_)_hm~12^>mC+tTX4Y3=%>Qhc<>jtM?wviIkW>=
zgElaMU26$-`Fpg)nZ^O^a&X0ntpj_AgTv2x!!`-OXgTubXefO8fHnaaIF`Aq7wIiO
zTiYA4vi#$kdm)~(7<hm(-*E_0Pp~D{q%AcgA~eyD<w=ICAA`i(>Q}@e6p>i(Jt)d&
zne=<STT3^Qt{NkW)fP&3k)zUHc}h2_?2o|R3MAMzWf6&W9@o*2^N$rv&m{PxF3EV*
zan`1B?{E3F@?iJC<SuYpm%g~^U=x5W#cW=2HbZ78<0`29y-njpT|n8XE6vp<lAOe<
z$B%>(0-t$-1rs<4(+>@9L`9JEaQat^>OBq00%dAoVBnx${(gmOF9Km9B1CzzPI242
z;4j$OO?CqB7ny*&D9I6%=E=P{TRRawPWupz=63URDohQcytPD||9erMR^^`O@B0a|
zV`5KuU+vO%G(y2(Az@Z{n6GZxJ|~h*3>q<Ftex=0t{h22&|1()zO7DnUqA39xLx{l
zh0<h%`^pL(is0}Z`AU@}C_WI#HrSc=yftR_;a9cC-={~?rB;hL5aSo3N#rC6`=+n1
z?(5iqhdB1k>kMg70HP!8GpmR;X=GK0?{<5<dV!@4?C+y^e>C(-aSp9D<6rn-p{R3l
zLuz^pt=n=>*(2ev)fVFU!>P?0(t`mIsRAbl69REGEf6&?-Sz4D=I#qO?WTsWbT)6(
zCe+)O?w|{O(l)Ee;2I%@(Cxd27sh`$v~(^hB7}UhkkCzRT@9yUYi2O>uv2Yjf~dl+
zP&BZQzEayhA%tVYlkbu|HzPwqCJKRp6p^7=1c-9RL9%^D1!FOAqi)^-yCS_yyClBq
z1>{Owa4_g@S;N&zi8-(lZ^KCF^s$_rf8w$ml<5G^sCJJDo^%H_K&e-bTNnO-w5v-$
z?+cMjxEHIf3qpQ2Mu{+EIxOfz(eL!+RL66aX94Jv{^rI1j<EM!<vLYNWmpYlwvYbA
zBG>>Cc2L|2N~8I6XyhD+SNL?o2VY>HKAD~-X#oAa_OH=lNw9pWzw6G}4?&B|4BEC4
zh~+W*C-Z*i3~$)8UXC5IlmS?}%SZW56A(CBbiUv_GUxJt6o3&<ZNq=&fW^i1uK3m&
z_Ex53#-$BgtY}7e@HI6Sw~Q4=$VA-t$4d|^#vx>`j;Apm*TwM=Rf>ifZU!fpV{^DX
zhvLvX>@MD~jNqH|1yLsPRYkj2k&<lNBoAiY?_%r^G0C8(<Vtb*>GI!L-Q<#8PE%9y
zDQ(PJ*7(F~ga6AMtln0!xrTz2!?#1!E#uCcM~#15^;^OQZ1}lS?T*e+afnuacgNA<
zdA6#S;oEw6rq@J0o2x9ICn40Z%IM);X>eyNUdh$Xa6?fPKP;^p^uV^WKhm)kfywHK
z{!6d$3s;tTrru~$BQRXoA)UpfgH`s$b-P<!1Bg~Q@C<f0LOwsJD98sN1$q0<i@+i2
zcKwLxgiV(o(e#rPwBY^qsVS9oNw7RWegAJ1?B<yA%P!xw3GfT&`t6TiV6A^0e;Aae
zo-yrd^&CU2W`X^(EuPDO6WYuT$oKK}6<89P_;k`ApF%sfM_5}QLfOx*7nS5?#h!%_
zlEJD|GV0bApb7H;aNdIh`~1aT57FbCciC%@c-WTK2`!e~_$&79jo;VxeSOnJhMRCf
z*T_&mEW`mf2)GVYp=DQ4<Mn>Rzac}bozKRM=StI)@8q%Q`>(ml=Kfz%Bk}z1kGp7;
zZE-1ni8hNf0Wmb^R^J@F2%&{#aI1o7Vg}WGIots6pxmIP5jxKLaD#pLLWoQjl~Y0#
zvHi}^-M~?5#|)nfa@{;#Kqk_IC?P^rD?2?Ryi`TM&;6L!#33wlT->xhOdBTk3E~#w
zq(=%&V2z45J@)U3oY^jVUtDVYHMbnE!5^0o%8dO@H;^E@6)cQCbks#F!<s%M_~wxk
zJ3Un(80S#e1(li{<o=M6f%Ov1+kjKc6)|mWG=+`sx}mcK(=Ir+ZhF7{JAUdv_HlvZ
z2a$6GOmLTt5m?>iJpuVQR6_1=w8qo1rOwpK7;(|Vj?8t>nDcatCglVYG$Ttu)=k6x
z{---rm_ip#u=Dk+>c5GDyINT}samy%A%I-!ZB{P3gZuiF7#2RG2L)<VV8-6%E4Sua
z?SfWZ41)DOeCm_qV~}EK-B(~uj4hae8wu#E+p?S;g-TExw7loHqV)S94u%TCVz2kI
zztL^n2ur6<h~~%d8G1Iq7z+>G*8M$Hgoie{5K2b<+R&ic1Fgy417ueBJe~r(2yyf=
z7)>mi#*yz@0u4MwfgvxQsluth^$Wm4nYuB^av_jeC=3KkWbygyWiDokB988fTSD!G
z=Cl*hz91U!W%c4YXP+7s203uaJpSTfnP|NBcdoe>0f@KhpH6167LjuJZ);{jBcw6*
zwonp#oaVH%+sG-!-KVNhk`TpXqn#Ju{Xwzn#Kt?WJ>Z5vJY-hZbY#Qss1+tc$Hc_^
zDEIUV(DtCKl<9?-kU~l+StY<lK->{V?*Wke@0#jdSAa$l@QeuV=W+qWzsa`luGjQr
zQg@?jT{f#ShiE4Cu5v?E@#b|_#g8awJ&Z}%0`Ww|XPs*<en}p|fq@UOZbfrfKhTnT
z-x-v^OYOD&UW<>aJE=vUDCiqN1DP3Yv4g~qb)y|Rs1Q8<%c4Wcw;Kv+EM*VJ0o1<v
zH&2?gDypjQX8)qh@v_Q9$OrrSy-UzT2}=#{Da}AYf8ETJd(??7E<*-wM$I=kq7uPB
zpCTfnq^|M8lg6oJOYta_Ykt*&NrecBV~H#5qkf8Oqx=av8%evTK;(rYOvW-s2W$w&
zT$|Z2Q4=(N5he&xW*M8oK@Nii7FEeCO9G5e{4)lQUx+N1G`J04<z4?x#Ikt(`jjE!
zixh9ce{p8gGuINMZlJ;O>FJ3>wN)0nP}?}qAdVT9+ivfw7ufw$wkkBHQl~M}@9={F
zY7>2ab>Cz13<4=f7d!Ia7p7*;uh<auB2+@BCVl~d%Ej5%(6gDHK3GU&{Mq>-5CWyY
z3Htxr5EeYR<^TE8O!=rdd^QF5H56*R>K3bdKlLUW)X<m3Rr8qHzxvS9cWulp<ZbX4
z9;)CoLJTPX>(`~j@-{XFlq;UB<tWk9{Bdf~`|Pw#p#PQ-&USY*@&1_Qc<?N8D9)t~
z&`s~88DV@L!jf&`6qziY3anp{h~BzxkBWT&#vQPCm5&SEDJrreaeQ?Y=OwARCY@3c
z=Xw$BaSuWU`UXaUjHYR8==RVNC8?O=yA(D*JcJBISfi`EQTRVIUSt~;pYxqb|HNp=
zhI{7ZgyBPlYlch(_c!-Bi$2g{EV795e^@zIiFzhmBHLRfVxvJYsZ>F;*Ktifgu$7p
zk6{sRxNyYCOno%bqe`*b#Sktx+sqjI#YVF{9GPm6la)aYM;%W(=S#WM>sFIG!gmpU
z!OPk#gzm6P`pUR{Mi@T?dO<$((cSTD;8sMepG%<5Fp%hn&lXxV&f+SJPyeWM8Tq$u
z!2s87D#zUSF;qtd>9fg$ZVl1vtan1w2nJB5=H*?i&e%eU?A5=Z%r+&yN^p(FDNO#u
z?{4rTi?#(uh^YUJjlAcQar`3q7wc0MMLHngHLo}Ce$KR}BAXKizd?VgkP*vy5mn6f
zulU%<=S_+w*gKb(Nid^8R+zGzcf)S!^W>f<IG$bBbY26;npE2JpuaMIYN>wA%*=Qc
z|NQla#t<#sTwH&Ex552}OFXak|Fi%X8*cvI`THP16JOD`HXg}4*G!L-VW7N}ELv^_
zk4VnCN2O$@eM$5?@NdsMC||Gb%Bi_z$|s}$T!kf=MA||$no5g`j+ZH6&9oKA`I1kX
zCwY(RQsa#GK~T1;U%$bdodi@kf!Z#9-{eK3#kKYIUU*;c>+jniT?1^1Yn|9OSrDZ|
zPY@sQe=kfW&{{;^PT2x6n{}GuKY_-wSTFDu3kV9z&*I4>!iYPTXqoHv)YAJL2)=pY
zoM8IncYFN|vI^OLs;a2p`|cDF7^&ZPeSFbvVq{EVba$-2bz|MAqk;ur5O^UkXtd4H
zBa#8SdpoKnI&G&9sgXj^yU|*oo9Dq5Ph~XC{ENNX=nVo%_1!m@pr?sB9aa2)*J+e!
zWo=Dc0esEIP|c-46UUk~@Y{nVL~Yc^0MG)dP{|T<Ib(@Po2eZCc}<k}#-R5NNY3Q{
z#ZUbMJn0@a)3xL^EweZs;#I5(IC@MCo&oXiMonG#B%@_Y+>RD%NSESoL{8Ux0=9J=
z8}w+!;!ZJ#fVHT5d*NqaHYk~0vOCn+3)z$N`cAuPJE@6>rT^CGoW8w<n`(E2A_$Oh
z1|W2M*2zCoSolu|K)RA9M>6t0sH_UCziu&FWHVI38-^)l@fcXxuTIWX$%up(hZJpv
z?J%A$?)E8MY}+?Z(Wux3rsG1Z>fTSeZvCw!cqwZYEw>=EmAoxb<J|>7l>0~i8*J9t
zAE1|gao_Y->3Vfly2q%dxcH3nv-L5o_suaA#L3;|S)OG3HF4Wlw4hIsT#9T|q0+#6
zzA=@Ym3A3^)xO!l{63k-4n5I3a>!l#h(g${cF|Gvu`@k?p&d2^d1&8PN=Dvb(SEJo
zf@b;7%AXkCjf~>?b8X9gaKw~dJpF$}&c7$v(~}lxm*YpbFE-6MH*<BJLtl@Zae@l0
zSsR{MYU?<u>Hw3f`NRK5(^UpU)phGLba!`4cS}hrt*CTJm(mT=rKEIsh;&JZ(k&fI
z3nL(1B6T;u-<_ZSkvVhr+G{<v+*=*q9Mgua9UUE&;@K6=7WB)+ZC;|t;q<B>zqFnc
z_D`$k)fc>LF_QK?TvZgGbQuGZw#Lt&>t{E8zxc11Aj#JoaNG6H%N0FkcV!}m6-rrP
z6e?y1l|U8cUZCkHj^yhbs`OEsRe$r)DzMNXpoUfOLb&ZgIoFA??+U4`yq;yU&xoMc
zGTQrw<kDS=pdMw*Nzm|xkL}twejl}Tsas&W>Cj{!cgd$_U@u_;VfS=s%M{<hZpbuM
zZXTYK-lFc1NJV^<M5Tn&nfZoobidlTJreHSdbR`pfNg$<UV-^jZwKtv1g5lcc-C+8
z)$-<E)<-G`T}ZqyM~LX=cE?O>M5U!;H^`vEM4+hyMDI0mN;ksW5i&i*btK$@k6dpT
z=iq2@fsKU&)z$*Zl-DQLf`3ISsQy)|&cuJCqey{K)k>$of4h-~IJFs;S^3D-%|-OW
zEpifiAM{kJyVF{Z2di5{>JqTC{q4(_mtIodlg~C<&%Z;MeP|HoaOL}3YaC<$(c2S{
z5?f4R&A85!HFeJOkrkt&0m*jC6laZi<@?+?P)<>?Qb8(B2+wquF}f)aB(p(Erj)dp
z7~d3}Mqu`*^0eSI+S6c}YN<vEF@4T33&Ie;PXAKcY}H%$pOprd_#fHcvk<B5jWj%H
zr0rPdSnD>40$YBK+x<jnVyh}ES9fYSYtt7+N47#;HX9#k)!XdlyU~50c<{i}VeH`?
ztPPc1jz2)Tv{9<Zv?jOgvA+5ux@}pKumoOjdN95<ViqgD;>79C@6C_X9JG?5xGXgk
zkkSld=79BwTSL>GIMbv*_t&q;K&iX6(+G%QI<L-G+*`sT2OA}L=cF18<Ln2e7^@sf
zL(wKtpr&R}JTUSKHr9?0h#0jLKnnsr`Si@S^e?+uLk*$_;c0Klh!-CY$MSG<gBHyG
zFz9XxAD@9ihLXf?*`Nyw{5+CIhYXR-8@!I*gt_l8{pRMt2UY6GQ?-C6;j0-^^r>x$
zr=C^XCJjbPV3wIxCa#vV3X76%$<o2ahNw}u)k-vti2PdK=YS6%N{O4!wgGJzK7ik(
zyBQRk={Hl<{NhArbXS&REBnEByHBz6TG-qHx%MQi^ntVwDDdd<S6ka3*K#5Tgs~3c
z?`KEvRIa_k4;&CaGY@vN6teP6$qr4F|7lDz;VtYZ`(kVWsf!3CFPOT0^O}pQ)Tj(3
zq_Y~?d;z~4S`>|O_$($1`o|Yivi}+wcG{Fdb6I&cJwuK7)-V~#hq|1dX`|^cp*wL9
z^Bx2dqQz|Yy7&o(ugPK=D&w;v^2j-C@A-f3^sn1EVo4bEl-Sznr%tP=*XP*k-}xRO
ztS5j%_Y@rOUqd=tKRJibho-S0QE_nqn-Y#`_m%sJX289`?$0~XST#FrsOo_--h^dc
zGfgdZ*jlT3+e#wq`;Obcb{<ECIeze``J8pRkqo3?sUj0f93{GM<1c*M30{%g1WTWf
zMe)(e#H@NP>(hSx?Ka-kr;9QuLG<Z0BQB(Dqn_5CP?`2RS8`)1Y)O#Lw(DZ0+lfF!
zL*oW`5@wnkskmC*b$MYBO}i~YX(0R;USMK8-<DG=!neOA2Tfr50d!I6zZ01htCDQd
z@T(c~a(r2@8v#1LhCAF?E3pBJ(wwh}{r%PHjpWr*2yXKHNG>uYCd$?fij9>Od=$>t
z2WBkJ;qnIH{NcT|k~VNpd{ywc@umS*k5s9)Q;&j#ROVU<6Wa*j4cKPJip=+vlmmC-
zsdqb*(vZ3HeZ;GeB-(f_AXVN7XY5YI#%v@8Z(7!+X?}Wri31g^0hKiPtT40tahQ#~
z7S^xO0sx`p33Wf4{snMYaSmroc;#yqd``#t6OT4W_sp)k8HFw=kL*o-r%46P6DG5`
zhllLEp92_w=soPt_4vbGDznM`)+B8<oqmuu--Drgmemz04QG_#Q@;+6RWITMw?TQN
zH-Ce-KgcbrgpZc=@&!QONa7HQR^^{^=yWaVEu?l4Kr%BumH*CP)&2QX-rNX^;IkvR
z^$n^CWbgaq1(=VFQOla#0}QgSO>eB;k`<Au=4HqYf8Jkic7cytrK*<z*YoV+ZWmb?
zZa43bm6f{%VOZJBkly!{wEok+Ct*x)>;naOvEC7q)0uI>qjaOK@s1vNZCLEK=Cr4R
zaBg>ZOP;$v{I11l0%Ruy2{Cm1iH5<aEOHM>u!w3de^!+eYecS}?|nZY@3zuC2Vo)k
ztRuh5bTH*OS^G*IpLcDK0edWk*~p*P05eJv0xUXyMox^tLN|NJH=E9E$fo#HGc<>A
z@&*Co`vY%kET#wx_Mmdd3p2su)sDgK`cN55_<`j!J{Qubw50B1B3p_k2pf_zM~H$Y
zTPy%|W9LZif@xscbK2Py-#L*F$kP(5_D{hVv<&?40Xj$|0&02CyJoz+*Nl|<8rU{a
zAZ4jNL;ahkKQ|8rWQ-!-nE}--Si*=flFT{IWcCn1og!m+c1yuGpm&e}d{@B)+T+;o
z3{|b~VHPO;q<4}ce~vdl?6z3=xc8<00p61H9j9L$kc><U`Ko%Mt=l}<U&=53VC<dF
zYotH7t^MIP=>V-skK_qs7!p)VA|-ilT*XX;JP<OI^l>!zd%QyUW9S?4wgtW_cZaCU
z5=eu&+sQJoI0ItW(@SH-VzW4Gp-<0#6fzSF*D-WN5R`PTO0MK9WXG#UIi{Ya4q~zB
zoUjRtHyZE<8i*^rfh*6<Ip>c0qNoKkxTCZ!g8;AZD=YpfyI^NY!rpi>sc}8Mb^EzH
zZ$Qcz7h<hNaZsWH4utjl4A-$*{^=~K@89hbD<CF%;7ijl(VZtnh-KIh5(g}*0z=)O
za|~fc7+<u#yl-rrEB^ONPTDt$!TFG$|30@q|Eq@ali9wvLc_gfX=V5LHi?>s#yi`?
zYujSsvu-vaG}|aUCn+xO?P7c(s5Wf=$IQWSg940-b50VfB-*|jq+VYT86-`F<VhyO
zTv$S*zA{?04Vb%CQcX(<h_z7kVx-d)QAN`iE3s}^uHqkqTZ8)!!*0)G<*jz+tp+X$
zJCEXLc-i)|qc@1NGDN{CCUL1-JzE+kB{U@TJkTqZz7I|S*s3j8#k?bCNq8r9XBTOO
z{6rOw_>f`|p8=9Z2rBZ9p?)bZB*fz>AjI&TWuvkii!f#~S2tL{i2hqhPun|}IFFd3
z2DaaL9}=DCZGm*5-KRj5Z4+EVDt3=~X5QD)b0eo>Wfoamgz@p~_r6=VkExXFb%Uw`
zIq<MbM>1YTQBzU<J~)u}I%e_`j-GGlA{Q}?gx=4qdJ%4J%$7KCRo%m@%A1D&gihe4
zElhm)@L@?`W;tDVu2~5;5z0J82E4k#(cP|L@hqZzNCOP~U=r+i%3eW%#!tTT`tHV@
z`bw3QJ^rq)2iCDa>v2*YqzZTgA0Jz4?V?8additz@A{fOj*e=!V3f1OWf{H6{`iL#
zy9vLWcgF%#n69j80Mo=ldC%t`mo5PC-aVr<>i`y7fN*Imt#o+4@2@mGfUksE+LAw(
ziOmo4$us1$;7M~~*uk}Rfn<7;2c{-AJgwl`sE5Ow1Tg)4&ksJ?YDNkN5ENh#bJ)eU
z)q37$lk(hB$b}qXyB@DYo}+MtOM^?lx+3WZhMtdog}cA#Z}-+JOQh>hZ2?+ky<&GP
z<5mgJUq&I-tv15C#!0h&vC%&yeN5LT99?z5-<?grRqrvJ7E@J8djzV{16d%fb3P>#
zqKiXDf`C>HP?@cTr$BxJ8gi}w?&{9a+6oVVjA{YXJgt4A_JVesZ*ESsEwC!oab_^s
zuj{sx(L*quu6go5OG~J@G%uz;tpuESEbVqAGoeF*UgsNkEG{tt;%9Vri-QPZ9lAfX
zjK#!1{}}ePR^!K0L=#s2l_?}Ez2Y7Ze`J+CFV+9FilDo^T&!X1{e|<f!Q5Vl+%njd
zto!%aKO~texv3EI)K~BGXb3b&5lQuq%m#D6E2_`k-@+RyLI$EE|Kd}x**MEyWMGN0
z4t@Iya*RhYKfl4kt4*A9aTOX=t%p{t|KPZN3NeNw%aKK9>73i$+<+*Iq#BVn50@tI
zc0dc}_@5<>R3*M@c`%thf~}$WNreAlShEzdq&~`_X!kj@y~3DQiPqKNdvy3U5YB;d
z7KppwVn~7;+Pm>P7sr~hwmYjq)tpzh%NS7Rf=?ACuI_z_jaB|Pbq=96>Q!)abNjvC
zmGq5>09)Q295f;_uBo^Sf<PL@Sifu!FL+x`@Q`K~drfN$xD%L^rs^|AirZ!<-#7yl
zPICz81A!EjHaL37hdtORkOXR&oz?qN{y7SU9LIVJ)#O>_8B)sgrwuElk3^FRHpRRj
z)x4PPdlTt9w~#64ky(vd)0?VT6*Ch2MXuio{F*B*zvJPTwhaVN-1442!@;3z5mrD#
zstrNf#B$>enWeCg{K0QA!6xSsd1!w!<FB>wD;q{G`-C*e&j5{8M%^(^V0QZXqfjd|
z6khjpk~U+}7!CCJ4%svT<H!I9|MUCsYHcgnHD|xmJ{ULFy%e6QK8`I}M73tqR=Z5j
z7*9>h{D#AzqLUim`r*dg|1L*z?Vo9=<8lqC2!P}F16-^xq4xCly6p@srl6vsp`oU}
zdHuNiU+bj&zs_<NOcaumT#73U5I!p8e%8P|ZGC*r1DMN>QZlgZ{XcFH4-Ll8p~+!|
zR8rCojtyDe?5DCSQ$}>&f&Tc1Gz{>s=Xc!~H~zD)evlFN*UVDj-xyD_RX9hxR6<ye
zu+Laq!vh*|2mwIWZ@XL#vgBl-u0aUVOtoO*BRRE2-9b&=o;*%L%TsN8o<@XjKd?a9
zw{yn!?CQotDLo=zn|j-FQDYF90jmD96N82{OR#~06c1Dv)j@xT+njz@ATK7lzxs2i
zEh1_j#n<ONoC+O&7jJH{FAy~e#*!T8lu#DcLD<qfh5x>5kL!o8vu;r%AniNKH`bkO
z2cy!iEBv~;1=P&e$)z~fiNxccZ%*m6>LsHJpFt3rIS!Q1_p4D4q{;l98Se&O4Gnd5
z$G2PYrP~V8!e2>r_aBr?UF|4P_1^<4XWV7?je+#@ds?{Y7)Gq%<n2vi=y$*uzmS+<
zVlDK9A)-Cc?`RHlMOswU^A2@VFJ;0<V=K+#!v}k*v%ol2aY|;)2MK%PJfgB?O*>s}
zDgqh1RPsA-dNC8YGE+1GE^=}9+T3mrh(%0ms?Ymxzdyoz?cmU9bffQ8Mu)~9(BLG_
z;B(`t%R+57pwt?N2qm9k$)L%|XP#ItW%c+?%;(%4W}-shN4LN^ljivF$Lf84z=YX~
z5Ix5%t8n?)7jsTQR<Tm&a0yggNJ5#6f7HO_SX8gQ%QBL*hBzC3v(wcuBCcy_Y7c{w
zr+-Z~wOy;s3n$~{$;3kM<Pf6Ke`Aj<aGjj#?Ay!t2faR6k`xvF<M@Tk47A!eg|us6
zM+V^GY#aEu2Hchu3&48hD)q(K{9mW1FF132KBn8ce#{n4gh4RQJTDuZ{FFPF^?UfW
zEUfRo&Td-$uji5h{<ybCg~_q{O$)^wIRp?dUGY4*RlVb9z-WO3aOLn-gN4xLNa3-0
z=%&lw<zVkOBcWG&xrX`&$_*kcV?orq<+wJ2h4>JJYL6a2+*1F%nbKn6wQy^UQ54^J
zwxr5bVk~W=*M6=V*LN}x1&J7GF)69rBDYoAI`xve`M;;Or;P!n&Sh;sd_H&aZ1TbQ
zt0|Zv9a#u6mw$R&h(ZtWYf-fBZ)DwKfHm#hM}D6DjQ}gle53IJI-ea^wTo9<%3I6;
zptGTY@(bb#?@W61<ysO86?<ocns3K)K<doOgKD5p-aRWh8SbQ)4f_&-9qwMgwI^gZ
z8|kExb#Yo$s9Hc7c`pAuDzm`d2__RJW^Z@(>({TPha)Sw08M*db$)W<;&3w(aCCO8
z^Y(c$$bdqqe^oKl96t)!8y!wSSwu^i-j7nZum0glFQjs}U2P*~=*2&eAB9Jm;CMeV
zBTXFgqQYGl^|PD!tzR)`Co_U2&9O6j?Hl)YyeXo~<VkXF#be2IDK!fg3d3}xm0`Io
z`Z;Cn8&(QQqd&K9kTgZ~q+o^Go%d>mb{{o|F(D!(S1smG(SKBu<M%hr`V;H>-I%ur
zb!M0Scu0?`<}$vOti;l|g~;V%mT!*eiuv?}^ke1gr1}kyV9}##7a$_t%do6b!*Iby
zsH;Xk4@1&0+>Hf)5A%)#MXUK|6Sf<!LPMz{8MX{>f(DQm;a}h!%L?Z0zkkr_M^^6p
zIlH=^W~Y&M931@qok_Soq5VN%S}a5EEp}FVI?nWh){$yFLZ1Y$TZZt=I=PgN_(LSB
zr`JXkSEC>dPmdD!<@d45f(rtK=8v*My6PS8!@B<)LWjmbA^f=~<pS14D~UJW_`G`}
z-CU}G8H+vFXRdpm4U@npR;YQ#@W^PG`)a3No$}j98P-H{6ok~rHd(XpgV1)l^g3D|
z1j(>N2CSl*+3-!1`;l>D<8k=ymPA!W6y~5r$b9e!9(P{asJ5{`7q}Mg5;z{@_nJES
z`DGWgnW>^Z(~`RIZeMf!!xw%88uX|dzV*Z>CH^n>zu6{<8yfS_rt^$1?1wdS?-_kJ
zpuiIo!*c~|el;6<lvges3N7=Ds$9lW7WW3*n4M#{@o^_d(oTZY__(CjpG0B76!V8e
znnt<p>@o36n1U2H6jAcrT0y)IcW}V$t|(1q{p>`!)flBE#(<zW0T(|Klr!1U(UgeF
zR#kUclD6kS-EdenNQOAjq(q%@y-|TxE+?j|seH3h0V<_t>3{I@5UNE5F(g$e?NjDJ
z=o#B=P^A(tkC<}#Bd|?{5SJf1gou>nK6deS8DunhC)MRdRWU+z3@EwVGwgCy{qobR
zy|Q8)8{&h%zI7a~y}UUWHq6@W-bT_0rb7$bEnWbAYv9rp&X~!E<NSgI>XSoKP8?rL
ztHuBP^XJbB>uift_geLmz5m_K#mOq&F#mc8%iO&82u=Mf@*^#nDZ9s8N=y+v`!{+a
zX`8<AllJy@O0Q*6c=y`jR|$Y^)$g%zWz)7~NItlgD$TMyD{AHV^2Ab1GljIV%_f>r
zh8i;eI%4-0ZyC4~f#4+uV4Wv`FCFYDRWlAa?6T!;M(E>8!ZhkIBL6~k^1WjA%rQhH
zO0TJu<JwUap5Eo0Gd(UyUEhU9R%<La1q7MEq!Rq!+lTuE4JIGDDRmdlnw2Zz%80m@
zr1{8w=Bp@j%&A#9^CPcBf&hj<8Km+|Lif=`g*jE$$m8	cRREj~-4)F`Y18eGR5<
ztwOKImK2$P$8#sV=MKPM*sBJ;tjtW#v7G71!EZ+Azen(hdIk@4oJj~NzrX<ou!-xR
zS>6y!D-9C18hYob2gJ4!%wv{+EE%tV-fel;5LKgitcms|EC&Ysr+_$U|MK}wyU{qA
z0D>s3WJgzApb!byhmRh+3%`u2*PqbXhTr@l;O`R5bD63eElkuL(ke^Jx=uNGG9V@n
z6ZoNL2Fbvo09l=_S7xnqyI=w#o6-ZS1uzAZ$p)m;7lt`N1;3`i@Raj=@(%OUjIHwF
z4^h6di_y(p5&T?)v|$vpa*9oz`_9t8_`f+55$sA~ya}yT(Q~S<Iw)h-`Z+=<+jci*
z63-+XLBae4IUvVmbt2a17KfPpL`XSWovCGZtkPk!2P6f|Poe}k8k!l5{T++2Go_cW
zdVB!pd?*(^Bl?X-$&`9Yx0v+9hr`^R=w#S7ZK&Ftnf1^qONQ+*N>EPBeAHVhGAzF{
zx+8xNW53Hy@AiGp+ly4Auv7*DSY`Abe<a~V{&~*+a=Tpxv$u5xmoXWwskWCW6_6P!
zwNm%j@G0_>Ai=m(L|YEi&QmW3$Hy^9A*rV~&3Fi5xC^Iuh*R$pn#U)I)61E;(R2{7
zF-OP*veW_ao2cnT)q3eWK6>6B(#fv!rP-aQlEx6Bsq!jzt~3$2Ff6>l9%TSgV8u4f
zW{k3oyD%I}08D%36?6q|R!?8+6f2e4=xUnDt-r<CAr!so9=+#Q6<WJ;#!CP061D&C
z=pSvOF(B~Ov?g^N{@zyOM>yPjp*AwG`S2Mcsn|QRppk75@VRoavY9!%2)cL_!^{&p
zw4v>Ny<H|HgE``uUCZHyUn4)=1#*(?ki+5v(5hub*0~7w4I0F&4_Rk=7&Zd#?&>^p
zR-Vx;<R4yCetO_Gwq%PQf`@>*mL>)-ce}fby=cFniH)|T;zipWI~pWDzsd{zLT1)Q
zAndYp@or`t-IlAq%-#A)72g2nybti9iS#eNz6@JLhGJ{y#+XDtM)T>GXZea{+#Gh}
zDzgdPPCQ!QE=R6Qsglp-Pr=;SmS7{TE#iAdbTj_i7;r1Eh0C~OqzWEzcl?%Ae@Wwy
zqY-l&tdI`$u1@w~86s#Rz0W?#<~fG`d3`#X-Fa^GZjE$^atPs^X8GIJdGTleH$hsZ
zR4}F^PS}??s0&ZMJ*&A>d#vyGZzuG^5lvJBSt-6pO7PKq8F|PyB9So*iv~M*bq30g
z0J}6jC0H29Xkd_AhlH3Ic*mn^Sl>ghPDEXC@oNBU<=w7UbxR5Od%)?8C8jG}^O<U7
z&z_P6^sa`MiyvK_&aUV+EH>0rR&x&5-f}HK%OEmEJk-R~$*D%KBA=Cgq!TkP#qH}8
zTi4mA2I9t_H+3KN)y~tJgr9ZpTwEP!9<&%$jgO5bYL0JU2Po~H(E9x`nPRnf`2l_N
z5Yt}380ufYP4?}3f(T)(yy89I=lsDHSbhHYPL-P06qSD?g_(zfQ0BtX%IC_0zw_Yg
z5nj2VKo=T$+hl+SJE1N8mrbv7`sWjz%8Gh+gVzMZqFt8RmnvvKd9x7F61s(mul-X+
zW4d`0HSLq7LE3tMxggNC%1;X>q)c3?AiVe<W$r0KWq<dqjPhP9w!wV8*}wKIZ8(7A
z4c)Z5@_NHT-`V2tw5sse@@Ez7;}SgME^<ha3SoKP`tA(ZNjaIZ_=tH}U_2X7OsT)@
z%gXQuWt$VZ^5c<ix)?LIO-shC2yi$^B9SSjY{k<Kw$qM_gK0HKOQvdP7pF`<<dclO
z#qlPp%oEKE*G&c`YN;ow!`0ETOU(ZqOYsvo<Hd^~#JSA4aYv&Ji@=eRY@wTc#!lI#
zpKM{60T5GfZ}zI&50oYG1`RV7%(U#TF0SOIN!C?5yJ;5+?`A15mMiXFi%<Y<kcc$c
zu1HHuyYY)wD0`+Y@dHM}Yj=KCwQ9#k-(sXV6nqtH^jVhzm0#S<#*tbdWMP`e>p?>{
zC)K~aDuHZi&dExlhYT~Q>)xpa?f~Om7qILEFeC<&hEJRAQo9H6exk@R^PiH(Bd8<g
z7Cl3!ctaKzGd#i9BYIuFM(*E{hjD01bom${sX)sW&%`UiACOKabWYvBu(Whz-8}S+
zh?sPR)XymDP!nC?>B5QRnlu8#GGLqe)1pL;ZQ8w$Jn@hK1})M;-&R+5^89b(<>lN5
z`{}HavnUn=HmhWro*|DB8@>+C$R9Aq=-6EMQ*>UbZ?{;OM)7Us{Af)>0Qy@&0w9qy
zP^lL<9H6MgoHCUbGQHofuAI{(M2!DMPNcF=GBwr3lNc&ZlOc3%A)eLo2xh|Y|5|`y
zhfP$u9-u7)Kh)IJ)KOFYwg^7bBQSF`eh0hI-GSD5xOVv~$|3lf=FFyyFi{?JQ+!Zs
z-O=T0b)0~@;@Q!W0(IewAL#m)-)#M9G`KKq0rkAM7a1$|^HTMixpJvn)7Gw2|4+9q
zT)JWTq9+sYUkbkW+831c8aL*|j81bl`;E7%+5EzKX>ob^`}gO{MK;RvKp$Zmb=h&(
zH#%cl)702_!HPxLAgaCeDH9PSW-Fw?@}3cv<QzKds!1pd9brk7_Dm+qa%$OJo~S@j
zL=@`Wbj?9~q0Qf)gM@D{qY)SB#)Sx8NqLbFWQ@Z>zX;sYv~P6RwEY*KK!^Q`_7R{U
z0wMsU(PlHQZ?!s2S#64rfdO>vEnq)!*MJ?#)-PGqgu`1iI)}K)`CHo)#7B_z?w2T!
ze5&V9g6TXr$kka0$!PZe<PDGLYN>Cyz5D9tN5vtih{{5MCg9)`)t*+@kVN(ToAv6d
zEfY(&M*-|Q45)1m0OE0Xt42Fe%Q^g4#0=4MxVC(kFK0ZO5BtMNArEWSHXEWWolPq4
z2U&CZhdT>|M%=s2Dg7s2+w1FK>m7WLw$-Q#gpZ;vIPybi-A}^_NsqhA4bmz1G(zWt
zOujI|eJKOYX<k0M*ijl*E1AsrB-`xKs8zPq?1G9fQqj3`^d3y{_q$Y=JjPt3Fw(I}
zO3kDB2M2ZEWy?3(D575C<A*$TRpakkdXdQO)>$Zr!?W`do#{x3NWk^&xKDr3T_bN_
zk5hTWa=q8p=;878wSlqU^EIzRYU*)JrePwCI6kD4dgpf^8<x$5?#2jxTItY=?H>#&
zs-@l?FW|jD%s=a*jpWnfB&o9aeckFpWd;1&YE!&eFH5>X&lB6f@roLu>m=P5DW(t~
zn{S*+M*asZU{nMK5p2+{58v)7#iI!-B*Vja>fv3^+R_Q)Gel_La5h8oQ>2F_9GJZo
zktEU(0=kbmhZ8kr=cVJo>s&6)cy*Uxp*wqq){PhTm|0_#$TJbblbZ}ci6hs2<%BU(
zQvbwGy^U*J(ZxZF9ia7%DUuEZox}DhkXJUP8IrYe1rmkK$6pIC+z9uVgfs|Ft&F4<
z-cNf|iI00EwHgcCHQ>@P0VTZj)$h6~S^DO`=b7nZv1m*%)~&{w-lbEYM+A_sp7zWD
z-9vcJXy#tdlMCyofp~-EdAz0-%z{hH-QYOlHrMg67FAYOf>PU_sy$9tHn$6kMd#<x
zY$heDeyOR_HF4c~>lO>{qh8B>Wz-To)%d9sx_MB0B;n^7VC22@GK&{!e6@bv#*>S{
z*QfR3>h+xh;g`EK-xdGn5P%-SUY!IlU$^m}Znd>5It2WD9)BE<Dh836L9g=KMyk6m
zM0TGmvoR37!sDCd#-ACXidy_B<H-9*f(I$XyGipbB1!x;b-w`7&FJ?xkOSB?b|bcM
zmjfPgWj~0;TOA+j6yoDugxNd^m<VYagt^o2)?Rvg3bG|F({$NYz+~torR61DSi?!5
zMI&NBf{sW#-=3)SVMM!a25PetV}#P70X@*c4>cfi!=;f(70dvY&eh#=((M_K^l+!m
zr?Qj}ybKtV`U_59m1|a1f^L=8DP<4~KLj6UW_9lE@84!??nsR1NO&=fcW$9ECqIm0
zTGJDIe!`2@4N9JfqCv(dXBZ1piRv!b+oK(E#XyVpKmC!%AT%5dER@t8V0#SMQ_8>m
zmwV1*wO)01G%e(*MBjHzk5-WSK@pwtFi>N-c$xv37K(5j5NG@i{iJw?Z}F>7XM_%o
zo`YV!$UluV*QW_2Yj{0`Q{fBoLIc>c{1<eL{JEOu9WceiYoFD$5NMVtv3?+;L=&!i
z9`0&;-<6bmnEY1@YS8JB8R-V9p@1+DA%zx*hEFEa1(11bl;V*SauDSxf112^q-NX5
zgu)|CX&lvw0u6jYhSUilgCV>xk3e!ca2{9H#LPKm0)-j)44TI?PgP3Tl@8Atb;n&2
zxoEzB3L9>ZVNeWB#sh(*04uo8rvEPQ>g)_2TID<6eoW)fz1rN_Y8^&)@DaC_c?knM
z>~6+EB&HJ<HGCMFAg@{mr8-(M*0U$|MpX_i$Ctns+j-(E9LniI{eotIN*+i3r~9?y
z9r$O(*jt;0#Fg-oSWh8EVY4@t>oF~8r<xyhYTldGMrhO4ecyQTFbX`e_Vyd+Q0wPi
zIe3vmR%p<x0HA_({6^7)Ko6nO3B=GNF)D2as8_No#REh0{d8*ht>*r*;r_3Lf-4LS
zkG-VFB4RA4@zV|!Bs^h>Lj#R?ra*|)vUzJQl?ATKr?n9m(O{=)wNF##b^B&vhNwSb
z8vz{xmnUY3Hb0{$e*SCO8_FGGZBCLpawyGMswe`VpM|P(lHEf*!~06JblO_b&)>_7
zNI@wcNp;D2u8P|Yt<ccnOtb>TFf%Fn>Ao5l3*R>pmOy|~YJVKgqbZDhV|k7sME@Ke
zE7rW^<e|o~h*->t@!grRMvgGZ0XsF#%*Hb<Te@w)3c4HodvlAs%fnq&&;K+j;pTb(
zua6AxLzUS|recfiNLtMj_};+yTuXfeIM${oIOC7~4@A+C&RC6R@gI4{jA?2;3gNF{
zu8ByAQ%$lY7LazAW~|aw;;EfFF$(}|id%{Qo!EtWY0~=>`?x}j(&JuK`Q3;J<&54&
z;puQC*+(M8-Ztcep8U#h6`xe-cK{dNi+8klw8ugyHE9}0Dj_!4_Y;L0PZMre(y*!)
z{vtFP!ZX#qROA2U;wPsz093Emg32fPf~s`%1Q1>x!*rLk5!03ydlI<&j2(85XKazX
z3yL#tkDrsv$`xvN7r0ej3`2e=Pb`~I<0$6H5{K}}O!!e`0<iev*+X3umK>)<;b09f
zxWO~j4`McmFpw#kJD!2{dVrf}!NNQ_FrelxE&tHU;zkcIjANBaOSfbPYvXVDJHfhc
zZj#7|9t)$yo~@@9N8$;QROFEDs$DtV$9HwuKNL#+v2K&A8Q|pyy()Xmy25Fy;v${p
zAid8*_n`N`4u}yg$h}oEEF50&*n&PK^qg$|$!p9k>(%$9<VvRY8s(Cm;HznNyO`cq
zMQtljfu(5*&k7q@@(XMIg>T3B_5uoG^SY1mIPj|w-e>(rCuA`#5}TIWdvSFE;y$pW
zZ-I8L*Oc#_GG@v1<c*Z(Yo=?Y>s0N)hhRthVr*q%P|DJPzsX6HcTEX41f=>u1Ycad
zm4+2#Wylrf_F>hV@vrm*IV0w#O3!%jC6AAfgV?|R1(Z8E@pk|BAW{MJ?Gh61SX+G;
zZe*zud6r-0WY%6$!kwg4QEk6j{{TC08yZ1gI{d2>xO1>O^hNchEp<rEVwE()5!%_N
zlXVOqzDcRYtZ5`sOQ}`<OjiAgg~agomuL+3D#)EIm!|w*8?T02!6#vW8;izw)LI&p
zNZhP$*Tg;XX^@mz1L@HWUUrGXFPe@ThXqHVZ4J)|oTpSx7n^PVhzt_J1jP8((wZ`|
zeip_q%wj#v`_3WgA)cjPHq(-aX&wdo7WjiA?qZvqR7`XNJpO1|5^sUe%%AU^2_O4E
zdw96z29tvzc|j^1pq~25E7<q?Q!db=RA}ip?vI64DkX*sXeba1telF#qu?VcZL6Qq
z`d6?~ZdNjPtlk1nW&A{0qHCs}t{x)A7c+|zfbguTEU~&wYkpl^RWa8&jsd!837Dg@
z#$3e>xqZquH54f!vlsSgj7DdyFGmn_xx5xlTmr>o+r_4Zi2F8<mRda=K2r38_O4bc
z>fckUoC3>E3MNt;zAMEi)^BC<kYJMCJzbx7&&>abKVcwNATba@iV<ootPXO!yVv5d
zY2B8ZhFrqa8h%Qf!$kPdR*FKP6r<R(Q~{yG3u1b@SPl=sB?7hq%!1KItLNwL@l1^U
zVi_;lf%O&kO4W#gz5H$tQ2pn{e`)(pB!1B-*4<V0Z1Utp*B9vL;D&eeVyOWJo)Jb6
zHTWp1sx4t?i4KkEgk@hCvB8YSuA2-obZl}vI+Gf2x#HTB-QB8g0Wd1q%se`@mI;LP
z*e4&5gXnL|f6yVK26^KbF(^-+Mk`@=8~}tC(4Q6y=CzbzYqkx_2~28J?tY&F(Z!Z#
zO58{gAUx<1Wnb(XPDQqX!S5fS-!3rt2&O@ccEbPOBZ2V~qnJ8`00}@v4JpNEV#m_?
zA6Z{i8*tyRXKrwOrYuGgJ%0!wwPVoZjZ|AHJu|PPu`nWNMtEzVd})ikId7*O@)JeV
z5r9iRK%5)v=oZn`*=fv5)YrSN$tHD4gI|5|ZLMu;yWYVv-V0PfoNz+oX@#xY9OAMP
z#gRhNusrm~MX#qrENHpYqLOCQED1}bbq6>PT2O?xi+(xsYA;KnngQ;~u~9>thSTg<
z5g1?o4$FG);=bTcAzkX;+?J5>d}9*|k?NoZAS9IK%sp-U@K1D>;jh95BKNEX-KK0P
z;chetG8ozNq%eu0bZ5MW6}(su-W|FB9tP>Zhq1&t=Z1@e1J>Pqni#0Xf+WTPyX-*q
zzQce!nvd(l>wFJLbX=LmQ0Ub2v6LF$K(!{)jL8Q1?6}LQ!i_t<gnCuy?`tkHvnBf!
zzRx<G&Tx8on_dO5*e@Btns-|&wCq%IbE0V8G(UU!6U`hV9cmrIa5|&;*&ICGvq^n2
zV$Ibco0K&1XD3bNk~egImpAUE5c@OMtoJDWsJbB^6`sdV3N>K~GT7d1@n30xNYR8r
zruPhN%<%D(hxQEg>lbwSm%bf3oRfk=eNC16-1p&yRchqrT4ljs=z`Xxgvwk8h2N5*
z5q%LmCv-+2B;@z3(Y}kJ>SrT~G;@C6wNsrc_ol~(TmpAmC=XAU&J_hOY>jf)030mN
zUEKe=CEUV9u&VDF(WV!72wG6CQB|k#@DBJzj=A$*q!;r_uwRWATues{h)S7DUSdUv
zQdGPQQ>C-}CSe*XCYU@FO8RnL<gwjbFE6n))ml!_`4;)E;A&~$e}P6uO^6f#sMXTk
z_qyFk!%i|dyri3PB!J!~xO(9_g+C{Y<isf!1;}j?lEkdZ;vehkj$2w{LU<qO-wYEz
zQjPE@Rw2w|D3);?lU~xb2QCd>vYz1n_o6U}fl<Krw`=P^;gS-?k_sE3UDrj!*6`(^
zd?H@tRQtDXSLb^ow?Vvp_A4C#R>;Jjq#AZh7sz@LR^=r}z!-GAb5!InZCJ7Fp=Sc(
zi*Z`nv#|2oe+oU-4Ycfdhc=HfEXLFK!b1CQy2^Y?2i#_}wENF*R6tSMjcqXC21r&E
zUxt>8m<$&09*zB9OMgevc5=(U>~Zh#0W|1idg#y40p4KQAl@)GQ>;>~T`zuPBsb{r
z?VUIGZ#D2jO5YyEat^<bJRtr{{+C#YOGXpltHOX`ZJfops@|o18mQs1i*gy)fwQhc
zD?_WyiOQ~mdQ8M+D@W3Y1i>s<G64?{M&ET(p@#$;Dv-~8_BClz_gS8$X@Ebn&pUiE
zQ87$kdZ~#Ri-f_SzkhRPXKEeSKpXjj0p!hP<e8S__+VJNnSi6oyZZWOW?!!`XiG|S
z^S(oi|08<AqP>!h2a52)X3ArbV#NlmP5P`v_ly!Q+lC{RroOpAuVEP8FE>M@nBLi_
zhI!lL|1<<0R|Eh-<RFRMt_3k~O5FAq(j;ou5Lz|kHSy<h{*F&?FO?ox+&|4bzt{J(
z&)G6yd$+gQuwwMoC(-y*Y}A@G$E;7Sad1WQw!+^YTcV0S`20?mi0{dkd}2UsqDuk^
z-5Ls(bF^$w8Cmfn+Zip$r`&Dr$We;_nc>iJRC32EHz_;?Tlq9JSn(T`j?s&ruK{@F
zkLqf$Dl0oAU6z7_gELf6S(B7IIVI^B<YnaLdBawdi18p9C~TE~gRvrWmfYsCv=bXD
zgv=?#z&BRy*!9=nMmQtK6!l@n84zp>N|g<lNnxi8TD*ej5D)nE)#{GOWg5TVH2jE*
zwUo*!vC%W%sqFkpDouy#wxU9%s2%(`CG_j<tzSG7AVo~bI(!RuftTw7C{BKlqy!%z
z*M8C!XPGb$^HmA{xc$zIz)i?g{&Ys$xP2pu!L(}5$M>vIKC(mnENyZG6+$ACt#=~d
zd506b@#kFa2R1m$!+&{&0~$Gpy&XtNNq2TWa+-h4N;;={0n+&twD6BhCJMy-URKRX
zbEdT!aBH-LPaVw(Wiv3K@`tcBcMM{BqrXB6l_LmbY7xM4{_-;K`)gqb>s?W`DTmG*
zVM8^;ty$~LLx!F50v@|+!GI6KHp(WyUY5-yN2Dx9P6;Z-$5L^K#{@&^ypJ_xju-1F
z6i{eTUB->2i+9j2T=$c0sGmm3G_UB%q5t)-NFElM4m>ChHEA-c8oqQS9kZ?Xylg^U
zppi^)6v27`hr{pTok~Uuv-(+OHu?~}b!u%%&{tu_di&MCTgG0MM{(J<?18;1YWI`?
zo$1C=DoU(@Aah=Tsv?8%nC`6wc>hv{yOky)f`<Cg6j(wKThxc&+(;sND>rT>9Ary@
zp|zLvK!+cQG(XOhTq@{3QN%%j7|hV1clZ|VscZYi4x#r~$c@tcKaBfE{u%J35fXFW
zorSmiY$v`~r9m2wAvDIK;i8Df#avY>0uHbmC+-u?mB_a&a#f5k=0)g(__`uwU?6oZ
zp&;B`6b_cXwN&miGqf}{k;V24ihkM|3H3$kZJ0Vf{q#B+>WV{nFR)>$YZ+w{_0p3D
z(f9g3Plfa810$=%(a%R%&`9LFBZADhBo`xAUPIGuc%ZVX2erf#>XK@2jELf!X1Es+
z_pBV;DPi=kXp@C`OXASI74k-fAf#L=tYj~XW&@+S8UTtEPuV0}$oG()y!Eg1tJi(}
zRM}}vrAQN8iXbw0wy4DBJ%r2x;}y6TtuRMn%SKNS;FUsQ&!7!8d8u)L^6Ysb&kC81
zllWhEm@&Pnn)xK}XePI6Buk~tuL%&Plcs_^!wYiswjWmZ^7aMMInJ79{gHakEr1qB
zXc?x`t&>O6q{^lspJQqpc8^~>4E~!B4&Xn3g3O(nDa_bfelGIuC}KHX1F=2-)V|=a
zRKo4Qq|ol+->Y|tQ^O8gi(D>gHc>UaR--NC^k!5M0f;hDp~w!8)eD>jd=5%VN`^Nz
zqiB#V^~O-K(~HUvQ&Z6BSXRR0U{25@b|K&#BinfO%Cpd?Jwr675d<Pm?eSPzNyp?4
zHkWp@L1ePgrURc9_i2#NvRkLSG-~7L7ME-qfe1QVnvMbVxkZyz4KjC3KfQ1ug$P&|
zUa{iO9xQr@mkEV{I=)lLbk7hAB^cOpXI5?KDO0+d5@D~{hc-CSB3o0dI4&Jev=x}z
zwoi>3^p=*E-s=7^iF!mQFBsBq!;DGFEV*mhAEN}L`#Rax-tEfL9u_YBP@lH;4R?;w
zTgs$!U)hv2c5ILB(}pQCnU^}u2?ul0eGgF%Bgl{fH@pL)1+$BIP>Dz=qCk*=-~jm#
z-|#2*rNP_dztVvFj0iX@lwA$--4w>ftXFzoo-ut{=aWqB8gtUax4wVQQ3qFGNKENn
z2P;plD~?T=?Bx8VUnUjPT*k3G&bCQy=`#i8r^CIti`tf-&48Dt*`TGs!M(>b3)g@U
z6%SS1ez=bOGgAZ^26F^tO}K!E4?QvcCVBlQ`o}+XA1p&hDHL$u6nguBp}<A!>5n--
zm+$EC$t&(kcvzjN5huxgpJx5~&6~IRt@~B$nR0n1{7-vk7r}OFaz;c5C5>g8%FqA7
zXQ0C&!<r2)nem<Pebyf(YW?OFc`ch=U~<~?y|uzOeKM9wD0Q##xEs~+feBD#Z_{v2
z4aQs(daQ}8AX&B5O<X1rj-C)WAtZ^d+C=9S)XQUs0Zj@nsb(NTI3Sfk)pjcv*Wrns
zNC5W}-<td*ZsAU$c+>_{Nlb)_Gt0UqC#vxi{%&HvyQ$xH*7v2NwHDR}Is_k4Ny(Q-
z%6!su%TW#B@O2_BJ-52}DgFE~*|%h8V5J$<{e3WV6ea>&y?B<E^|qry<gK2NaR*9s
z9kw>2?O2g-3aenu25|JTf!h_x8atRL-U?@YIsACg8^eMpwcP{p=f>++$us^G(y)@}
zgIT`<x$cYsMd#2eu1&HQKu_<kPfnb@1Su4}q(CzkDt`8C&dV=8x&1XkSIhP*CAFDp
zT{|mf+yd4`pwM19GV>R1(8GpgF=iK;lbREW=@w3F1VUUs(g$d=t4*y4e0l{|@do!N
z`Toc|A~AeJBdAB>ilB&JjpsZ_O{*z$s7sS-4jcQqevlILoI3@-<^_8Z^qjoBVPFa^
zm(1tNS`Z?8%zA2&aC%b0mL&HaTR_c=vna%qCDlX*=7Ha;Sj>0%mvq-mzB-LPJgWUF
z9}C{5Sy~?UIv+D@_3X`gSsS#}J-XL$k5fsb|7+^oIf|x%fo&^=x$gDQaF=|D@2D;2
zL<gQn%TAl@u-MYraO)gD&XQB6W+_vMOvu$%32`!mktQ8kDngH&z+>K$a$LwER!7)y
z2&C~^t}pd9`2fz}-Q9h;$%Lk#4<S)OePk_@PzJ>hQZkHvY--iJBUMD)J{gkklj%aA
z8QGRf{<(C`|5D5=8>kB^waO&M#o%CN9$*&2D7LOT{DD0Y^iC{FwS&q!Rde8FfuGR%
zXcAw3&OzzuPlY`pt^pTto)fq4-TB_`Yk_Q#4K0Dw{gkbNtp=<^1<J;)$!dVv;vu1P
zgr$9)`h+xb@&HY6ZSjq>pr1Ge778#?T~^EWIB^y+K`6y?-6=Vp3zQeC(@(o~UNCan
ztWpWm5v9f-Ewtziok(DHJ2(HZZ?w`kj;`!5<aqFSf8tYdF>^aKiO#{3St)<<W2tJ#
z=3}izA~Ky9KNtGo1QZZlykE#y#+FtUwc>xqp@B!)4`9I%w1b&%HFLY6Yuepk7;SX=
z)u^YTI5I$u+wC<~ez$Fq`dtjpg6^zZ^}oZ=3jWg2v#ER|$$`5V_U~AfRbM`qR>s_P
z)34yD4!GJzfmqHtXZgO=-4>+R1L6<2+LY?Fb0oX<k$~P(AHkEs8`z@P|8zE(;5di%
zDG+>|IsAUftj3Z9jCK7^U~DhjSg4<+LWjlitz2{qMqu&s(pcPFZ{vRP$GWu7e;=b1
zrGFl@6RX55Wbpd#Z06Dn_|K$oPM=qMBd~w}?bHt$$4c+IisyjnB5dUPs2aeT>B@j}
zd2(rBXZXQWL?*x=`y;9KKGH7j`l565$jNmJ1|C2S!TyRbjC6P-)?e{>v2ceskAcn`
zyJ(kj9n9jlJ`L+ExRV0{=m>ZLic;=>F-zdYW!wWmPq!`f2NpihR3v~zS{MLd_!E{L
z8?;e~A8n<HZWLoLgAO?gM&LbdqoFC%*WYwraLNRx4C$BbZK9=RU-o{7*Je|`Lej~v
zeiH`Yzs0cQD3ODjUmy!{ocy5cG;K$I(N}JkNXeUa_*GT}#e1QPSZ=aMvs;LsNZ)QE
zXl%`=0`Ib;v$fUdy=eQj<tN`j`G9n&B|IB`j}5Kl4t%|DB0Wt1!RH>PQNSUIrK+DL
z0KLkD>L<|fQr$%S-Pe{ez0_J7zzFJQVR6*~@PK3^E0$=>HaW%>CMfO|ujvx<3&O_s
zv)SGtwI}F`FKPoHSqAhEe6e2TMkI_;Kl`cFbq3BFD-jsU+R-gS@g{TW&7XipRKO_}
zn1llBFpCe;!}+m<?2tU7hqjiFxz}x4;|WZ^DIX4j)AFdFRweQvUGUA+boh(B)MswI
z+Ki%1`8=K1$9nb?-+|tz@9y<wRf?)rn94eGCF#9;%d+mWudy@b($~+;ttfmYsfpcb
zGoRau?VVwCr*5|~h(VC{M7$OeqKMWktsnETdLpMB`hmi8L^(tPcd;>xSA-0I)9co!
z_7@B?8gcL+r6e`OvrZVit3~JpNcQg8>Cd~F)9Hd20v-T#2@CGv^8dSh^&Kli%6#M}
z_YP7pq5ET-iom3qr;h3aV(&iGRWzpzOuaXvvtbn^;wk^3ZYmEJB(4-*fG|gp3#3#~
zqeT3uC+J|#wn4GLq`>2TOds$2uS;TzF=Jq_$)x|e`Uj-NnPx(0xu#pB5q4VOp7_3J
zH1~)cgk&v6nUCqIXc@D-lt+X@u!0ox6`Fl6xW2$Gua+{Xl62H%GERNI@gwt0eT5lL
z6N<2&WjRXSvIt+lO9U!f7pf8+PHsGsp*N!BX5|ys<ys6%zDh*wN!9sI%9RJC8ODIW
zQTudPR&*eLI;A0<M6z;_o*+CXvX&Ll7Q2B`aVr*%E@i+;LYvp(S?BgU-_OfbfH=w`
zju0_m<nVC4M6L7aVyN}DXtV++e0&ID(mD%4=IP@ejB)q&v$~^3jz8>J-P%)Bl^^(u
zbvQ}nHa(-A_Bmvy$?=*KQMavCi?H5m58>Wkt7)Jz41AfP6J_-*5@~&8k7Yh$CeJM?
zjRB*OjmB}sHGYFmUqmFEm{24?2X=0fNf{G4$`GG<|NQa(ol6qgn8rf(WJ^ArSqL7a
z&HK0qzrG<v!Nh@~C#rrJJ&thWn-nJz2JL6%b<r`fE(m;3R~Y_HS)%{Vtm-z+4-z4e
z@}eaF=tZI?^z<}jh`nZzDn64h7mhuTA4OlB3h0lj#y%iJtC+)`*%YCI1+&u=z!2jg
zWbVk#WBti9_=#7t1&s|lmh1j=ofj_Z{D=<p;w~jACPnDQ?8nI&Iq;%|%Q-MN?(f@!
z%|_g`M%W$LO*pBh_v!b}%~Z?_Y2|}EDXpVh!Kk=?Z~UEwGeEL&K{fWtT=p^F?!=Sv
z&epcq{vnW`OBfOwB=4B4O)}JLZWJ<Kz{&U}k8^w@=U=SW!M4HS?}a*`uo^@e^)(8M
z3mnW}!`fAGtut-dWFqY@u&DErgGs<MUF_qa+{{=i>W0yenTF21<Q!3T6{X*E#wlqf
zsPdk&ipC(Kq0FOw&tP$n2nYzHv*-=|h4-GIFJqnt;_pW1wX}dd&-#?v4Cm+{45+0C
zq0`;YJzvF>8N(Pk;y$bskjY#Br2ArqEL7WEGZz-XjZL_2@YfVxl?_*7BR31BoBy5m
z{e#2(1=A_=UmuX5rX_(fcOt>nUQ|h>`a2gvUXIM<5x>UeC>Zj0CBe!l5QkHe3HQS3
zE=XY;DZjEPec|nc2--)IkZ~f6$B*BhmD8ijht-=t`F{Kd^=~ZZ9UZ@U9OB0}A_irD
zZ5uR|0h_8-CR7|QjUBtAZe%WoP^37btKT}m=YH?oj5h>eAe1Y+D^jebZQ=#H;l=VF
zf8+JI<Dd#+*h5l{wy1tuNr~&RZT`H3+O~14k+46_(9b34&+3<8+>dYLG=W7=%ICbC
zN~%5S?nQwZ<UD2<)M(>7<gSe$vPl3H+IZh+{{dd#W{C~?@}iQ5gVM-&a;7rep)umm
zMua|G{8YMF1DQ^TYZ2fts^iqh72OI56Bjgnm5N9I(yCm@rSXxcp<AujTXlx%G0~=y
zW^J|<<I(S=vQGj`ODXUb#0po%a`B$PL<U^69KRtIX&Q+R%uT&l*XO;U-mm+;so2h-
zHB(32+AHRNxC&$N8_CUzh~mrn`xD{5FilzfcU{yf;TzkP7?<(DYB{HzLlx=cOw<SL
znA!kux@&8Ev6u%2dg+YO+0EKSK;W;eynfdy>H18W&C%cqrSrEJh%$6_gQU=-%f0LH
z2yNMAR0bKDT>fz@c_%6$={Kr^i;e}<r190MUH#pshd|8*^j*f=gUHAOk*lK4p8<iS
z1se`}0ENDwi3wYIAupu`>zk5v`TYn5ir29xlbgrUjN4Z&-F98vc3s{*nG$?^-&dS|
z%p6N!@KPF$<42fYB{wseYqn7Dw94Ts#PqC7`LXS)uKs!Hs6f$upTAp}LlTJ~3kgF_
zCuABxrGU45bf`~zjsh~ChxsecOp*A_Qs$3Xg|PU?pO553x+|!uJC>NwqOmZGV2Q6H
z-B#RrHdN7rtnwTvHTM}q5|hD}6Hfgl0cBSR>5}utFi&S2zy+%MnN=wy{Lc2|@hAgB
zy(jX1dVl)6@{Z4vKkc=q9@u#gntQ-Zg)gc8t3|K=8|xlqo`CE&s@mbU`se+eDhWL+
zAyZ*qD$5?9Z(AB0J>(u+-J9nxvaA*4F+5-KBS<(M*x^~5KjO;pW@WW1#IU4>Suja_
zgR0S+MY#I$YG!O_cF)edv)sk|$i`2WYqY>p#*gQ^;*_0Es8Ww;p=HsI{Y4O!Q#EIG
zI^z*skm-pji_0&UN*LP^00R73=}Z&)>((Y(bbPCT>`+}@eY$tWuum)<qc31YK`ulS
z{AbKbj=5O7e6E4NTD+G!0j@8LhQ!;I{M1bb79eX97kH@5$syMiV+DXqU<adhj{q-{
zW~u8-ZXlYK7}u7M_;ux1s&iUsP_@fwrU>;Oik49mMfQ5PcK`z17A66KOUmow(Drn%
z-FeAviOI>>Z^csQf!6k!cY~gqog_`{$!|`9uVxeh0Wz@2dft$jjfmJL)NJ_W(UB98
zg6Q88h?$JlHCek!PZDgS-*dkz$a;5=2>qvdGz7*Y(cACW*Snm=YW*i=%qfmVJ*uQS
z@ah@sA5TM1s-7vUu_UPNzJ>sr4hFbIaecH$BZlvV@!qL<@S$)tO6BY8U)JPiCSWvu
z826BQL=c=4KAU-h`|*WCgC4M!=vSu;r(Ba>9WvU=8(G0Ei@)4Wo}UZjW1n12{Hm`!
zRlSmzm!D+AsF)I*(M!<BX{c*yd7qDlA58agZnsnSDR6Goa&ow&Sr>FUeiLhg^?<yr
ztTI*1*aSz_Y>NGc{lwwTjMkCS2vJx(dJ1$rT7ZV2+U0^e%5p@n6u;t<c)zPQC7MrD
zxrhk<<3vK9DW7v#tL$a6Mdk`_P_7PVhtrpQ9Zn!LX7fGsJpH)mS)`0pNYK005*G(|
zxU=x^AcfL_L0o5KZqsdDagmn^feC?CFa!_m0h8E___MgvrAC)e>wnGXd%ltx70ZUY
z7f>#XVPqrx=lnfz{p`N+F}WWk9RA}cJb<bUV9^?(5eZDo=1C5&xZo5B3Fr8envi8@
zW?EO6c=mjVphJiPxaPL2gM$O%L#Hu;?j7f4&6FA6)n~=ubdR^Dw{yI4KY1gdaTjH{
z+95X0;y~B8<*Q)3Wa*2aKfIzma90<G`z#?(SUYmriSt$PMc@i4!*YvTq{}Vmcp$fV
zHUa+gngX+8B}?9|iZoI*F%xm;=XvO6U7}K%<8UyMd8rh4fi$<ZXTuuYrHPE=@=CSJ
z>^H(u$gGNrgf?cT`zqb+K*6SVMP?T9aRR;R{F#jmu)6W6^t-sOCCwgno`BHG_Vmb_
zh4=pbug}3|mcDs18l14l5KqVJCAsmFdmiK1%%^?X_1x^|Z|&390xm{qHDdb)|Hsu=
zhE>&dU2jS{MWkC=1VOq51f)?~5DDq-Zt3opl$P#Py1PMIy1TxG_w)Yw_#+qB@tm{w
zUTdy7#~gDErzq7j`Aej#zqGWp0ACI>c=KjL=m`ag4C;{|d@yO@8m$*VJI936zM@iC
zv}9+t*Xc2QUsU{uSse0#(Z|oA>6kPibF(AEeI07>?m;mr7p%mrwk#UCS>ct}Z~z<i
z>6tRw<9ksLsCOXZ)YkqekmMCK>$Qmo6a|`-v-%&;hrGWj<sBqTFb2M+q!_Hoqy%k_
zk{5M%Cqse{9#(v+7^{u)KCyC%@MY~%DCU|Ex1T*89Ky_8v_r*pUnj2hwOSFUNy9NC
ztA4peDO6gtDi;%z35E|988~T_2rfKY(xsBc0=4yxN!bj|5eyRL9#a`<a4S~CuP}Ox
z-a;+=B6O*(muko;p@8F&yk7<Aaa7B%el#Oc9i4dXVaMSdawmnm&Up;vYW&WelZpC`
zzglk&xJt@}rHh$hXiL?#ijepjT+3GW<w}sjXhZ+|;m7^Y>6Ye{2Ii)->)io%rlJi`
zL+$Mw-!&ebky}P?3$lwS>e4WU`R?*vz%G292z=i{X7ub&Z|>Y%EHu^uL065e|Gy00
zEL!3gF|GA83yaFq`F!>&pT&_r^mY&bbEN&ouVw4H4^mr}^XxXyKeoS@Hjxd&LVF!P
zT9Bl5eZh{Rl2b8_CjA1jtLcnv>J19;q<^>_dbqv6Id~r2i2|(<Kth0@v;Q0sk*vkk
zF?x%{i1e#<@@C+2K6dtcyV)g=@z*@)H&SNzi28F>zq`+8N{XSG0RFsF_h#3X#&L;K
zrbvqoJwKa$6Day>BbM#r^O~teUbwD8biW-jZC`nE$xqPC*Ty{1WQu|{_^96O%IEzD
z-l9W`*6^-G!D$Mpde+bun{uql!7w9+i@&C`L=X+MqNX?}J+G-2Xs;qBBims|qjQe9
zOZ8dgQ~jVr(j~WCfncl2A{4WEWdd^xgo<u2%bIWF`hLjL!}Sg;{dH|o=Xbk)WJi_b
zYZW^EV=67_{YyFILMB0%95wqq_%HvP6*cw2K;hS~MkwER1~~;9DzE(rWeeY=z=c}b
zdT5dtG7jmiq^qrYHHUKR>4FhK-vyj1Q>q_!Z|=1puBYgNXrd+4ENlh=$XhXU`?i`4
zd*q}MxlpzPkGAvU?+@_5sRJ^#>VX_fUQUP%%F8Y*;;yaw9&pB$E8kQ>i&iP}4LPQ&
zW6{R;9rO;;y^>O=ay~=v28&nQwYMuRy$i@vwX~EuK0y}ygeFz$4GU@6!RfDye*Tca
zrtHA_tt!>X5jDde*HHJg)*e7VU@OWq10vKjY>50zzABhUC!=tt%><T!J%}Vu_phCo
z{$$&)jUn{~8luo^yJW>2_e9ff9M3u1Pi852(ffDe<0tlBDVC%RvJ-QP62h1oYk^Tg
zZDlgU;=C~<e1B0~c;Ui{>+Tu;$4ojs<sZ93fYmAOse)IJ3~^Bazf2#4ma@?d>n~`u
z49$Awt%WvGZ@?5QrzeisAS}cJTth^mkdGt_jCJv9-#;+y9ULtEp1}+55bP;=MH%M{
zJ5n1^hdrySFc?HpI60mWjUkN`@Iwu62!{f+rCE@n<T9O>&PzK^XU(CZJ}g*z8R#=#
z&;fP$>%)yf<$cb3^@MEk6bw>y?>~Tk!08+cIE*ZvOs}Nj|7IFU__snfLh%mGz>Mvj
zwq|DM<{rSQA*^a~X7!V9l~UHlRWaq#iEk61+^eIJ$?q!GQ$MeAf7uDB{@W|b#`a}z
z;nEo)a#;G4dL9QyTeO73#W<p8350;AXS6w;0Qg-LzqhuwPCD_9iVWivj1G=gyMW63
z{oPHqJD7LqoBa>kqBUTXy<KNMmw3XU#bH>jJE+|Ved?_?bVQKJrx(K(T8mcvYly{d
zJ)o)A|8~JPi-c2M@|!?a?fwFR?h03&B8?=a&=PvwgNA(_+NW{ouO}K^QF0*6hc%RE
zU-9X30t}UG@8XvCr1BL{i*#tbtucZmC<ugdy=+G9*gok_39li&i9|mJbOEV+qSSPd
zAV1f3wNfY^+_cHTl}-;BgxPFVWiq$0@Th;=N1)rncg56~NjIu)!F)K|cN41^&@GH}
zf%7be+;tCuI7Ecm*YTx?dz~h1qJQG$iqnmFG478TxHm?xGwpt8u&vj4cQ9+D>9706
z{8|PSP|)01S-GJU(^s{5eY9)bWBfLgE9~LCrp3)V_|@Z@`XBs9YY@Gj28PBd)#;v7
z>?aluREU0txIYJqFxQ(DsEp6TtYriJX7U$;9Dei%I^VTcC}8kg!?{1+WKm=;TXH2z
zgX+7SNk%F4IbQFSFA4uO!_5+-vdf0M0ms8L9Lro70&k8^ECnfIXfdjlDMwT<tcN5_
zk(Cm0*c4A0|Cc8v+3U9*62VEs0!rMTF~{O?ju4gzuto;tjSed&2M6v=VJz4B?>9v2
zPVVmRr2Z68>mgG8H%R_J@+WJ^a}moybQGw6Bs3pi=(apQ4W70=)0&}WHzz)qo_2k?
zMRBK!6(S#oghqUYXhr}rr|h63xNSt<ty+`0ukYY|s}jS;bMw7zVx2SJ5Y1r?AYBsm
zMn1+dftUZ1_v_zWVXHUp#*RNyJx#>=^J1c9pV4`z)Y5zrO4CAQQrBU5+9Xs0gM|dO
zLCo{+0qc;=$2F6^QM-_^n+l3d@O}UaXub}l!W~oaqmJxpJ@XoJGU<1b;WzjkmznrJ
zUFivghE&PX3AL&|8RmC=Un3$4Pr24E_MLTD%6kMB*^7&?6CV!lO6rPJ^~54Xa%>#`
zDSTU@+GNSjeFK<r|G!ay;Ccq@t{2=lf{c59Z_kyE;{gxYA;sV#*%xcw8gQm^tUt--
z`^RX)1i{e%p(tEqI^-)|I%qi;r)*c@;m3l3DEPvAkg;I;`?4~Q>IAfzqzcJu3=jF7
zJ=%V`l7)@caayJ{HSsqfKXNPo%d*EnE+;$oYiuOT>=i8RTdo0;x1QoS5i6PrOtHCN
z!)V(c)bS~1;y*SXOB*Dx{n4N=4ajI-9bjM9SN7b0l$*^e-AV!tFBY`uwpA&ClGXxD
z71A8Fv{y1L&r_dSXx2L{Fj*A#eV=w(adUcqkNdY9GU}}IVpP*InzCD{nI~Afhz~%<
zi|Al}M^34Tu`Tl#?@LGP!_Z=CheVv_*{UEd<$fIJMgMF~$zoofOC!rK8XX-1>i0;<
zzWrI~I5;A(R7^TvSdHXr)n!<5eoGN(IIk`d;PHEKFn^KxoUxT3nesP%cvWTlQUBw9
zqC;rFiAVQVn!Q8A*YEX(1)Hv<;$s(!{UQC^iA4vY0XDvyh*D@U<kc9Iq@RC;tvZ^S
z70>Mv>Ov6qFBVNTHK*%m_vtj0>e||z4(`*oQBIt&<gmm<>&V6?9zV~v>sM2_Z8kDc
zUJMQld?HCRvn#*43{uoXwt-;#TNf1GE3EflReU9Lf4Ov_D^FibF|WO3{@N~F7aJ$z
z)#9Q;xDc4|Xl1u0C4DPog#9jyk1V|F+uW@;Yv;6rrK$P){Rr6|_C5Z?W%$Eo_qWE|
z<Gz;Lz81bWZ-8e2fS2#r<nHyjhy~Vl*gB`9<pG;zAUCbqmY05i^S<?Za;;aCxdUYt
z_SDAqizOYAe{Q_v08@$uH{;I!mR;4Xb-au5B%~#0T>7rc^!hEB2G(RIJ9pucn4ATx
z&~?+A+!ouv(6%oN9t-%t`4#`YOEmqYF|SBlFk>%#@kLGTL|gUb)#5SpZY?dx+Oa*g
z<@soDZ?A497+#$SwJ{qB=>h8#0Rl!>!|?-UbOc!5(!y(d^FzqLSonS@>Vfjl<9^d)
zW#?h*pk;FR&LZpN?&k@Q+5ON?X^Z>a^%<N~V3rXdDXpX;)>R4{Y(^8Gqy7gEyLm@9
z%{f_b^L-0b(?^bIhE~alVSj&r$o6xKo9E}h`z2z;GshLi=GyA4R{g-wx4b2o&x+eE
zeq+%sXbums6j-+7w%*@;>X|Bf6euM^g+$>C|F(IbM|ai5zyb>##It66-4GJ(F4HFh
zNZyE29Z)M3XQSKQj`qXC(%mP@f~lSN@86r4m}p<NKX1MouyEhxU2>}aN{g>chIMjs
z61F-Yu$sMq0i%R{X#l~-kozHf%lyRe@e2_}c!EB*!|0%wg7ztX)Sy1{t1Qi})!A*z
z=F68aNzNO%Kd&A+D*DM%r>f2RHTeDY6_N{-MxE-!$T54P@v*qhwm8GTVPCP2KQc4D
zcUbJH#HWbkqo*5S_!BgDUy#)=cD$G_DDYzCU>%QFBKgXp{E=)l6US|DUk@RriJg<v
zf&75Eubgwy@s~x*V&$ILygeNvJnENkxi$6nPc!7{_+G0DzyWQD-DYJQB~eYeV24rp
z7klOVSGZ4wLOQ4!ONtfJHh~uCT}ulwC15>VH@EEE+!$@!mcS|~^6%B}Z;?eW!hAL`
zFmTx)wM;I_tMqno?Z@&Ht}8UCndogzWN2VtN27Uu5%N_Ci2{QE-dgi~szs(niTg<>
zxOv1~OsyX073p^?&s#3T;_v<-3SRDh6?`wM4V<I|FY1OQ=`DaE4`a(Qqu}i_rpGF$
z`|2ZGJ-uC?KzBC~sGtI6C8w`VQRs?W)$>mMoe0~=B3|tsR=(?T74z|-QL;)!-(?nl
zs%O|@%!LhLos>lsn=<whs_%SdB3iSk+7O43=;|M0Xib^qHIC^9K3FaAukyT?z(bBe
z^E})85qKx@W{iDdZqB7vbmmSrl_!>3l1QuDxda}kxf)*2h}wjCJy3;g+toBX!9~Z)
z>L>#ReZJ9Y3{cDEU7k%Ikl=pa)OqKvb`UsMLsrImGsAM#<Lu2-SCi_m)ySK!St{S<
zCk?GrUjXN9GxH#Fr2Q5){o=ig8!KWtLKt5iV286bAaz3*6vFB!(ssh9c9Tzz^iNhM
zX*|l6ntt66^|{uF^H0RmjgOd$TM8>Y{w&snV$bCe_*GOPe8WvyWn7zh?>0~I;ctrQ
z*O+|C6d|HkibfA^?#4jCC5-~y|CaZUo6<bwYCKQi?3>5sw`eL_*_6u-&X%irn<2Ly
zjiu|wi{^{b_peCykqC5$I4FT0H{eXlj4}0LmC4fqw{8F_kt@{A?SX_~dA|@PHuLwJ
zIk<`WHk*=AK0?XgqA@sVh_Y`Y1-jKUTx=*NQnVH(kT5*qpchd8%0jBj1ySf%rUMyc
zH#MlSbZJo|F9J5dVe*}*a3_kGGDQ@ECCjTX&g~_b6xqMe?R__$!Z8m;0)Q5hyPMnH
zAPMJWQs)h<guJYu+Dm;fAGrzQT4G`%Tu~TskswZGY8~`BK>tj5Uae!FlIzp<hhPqm
zmG!EJ&^r!8Y&22Qf<6C5n<^F+l9Fw#OtN#==|r*xA(W7w9<K-tX9fmjir?%ubI{XI
zCAkCt_?(=aceyK)&+3;g9rtFd+*`r}mjBW~zt@$TftoFt)miN#fNy&zcs-KLX#zN{
zMQ<Q!=cn~fEk8!f>^c+KI2fu?444N8`+aq4(>9ZvibQo0uJ7|^eXr)7zG*xG&qRPL
zt?g0C<9=`H9vyPuba3CiUj<&!SHEcmj`l1(ZpiMJ$+%kCI@3~^`X;BQvgoAtHNzya
zbrPzc^p1s|fGKe0!hxY7REo+;brbq^m%FBU^@gUV(1y~|%Pb-*0^#Q}?*j%Um^;c%
z^F>6YD2OBd>@5P)s;UjnckD40@g=|oG$kXU(=H644r#eXNRn8idP6veuo4i26!K;g
zCo(qUiyDWo1bG|M&kVls@)xrVN-ePbBHW%c%a(@4ZmwGv6u$$X(&FLa(L8PJ#GkSQ
z&SkhL0dzThKfH~fPR{ZT!S#OXCB-;I!jd0{1M^~^w6*1;d;`46f!2FPMFk>n)LU$L
zn10ROnij#~u&-kUdlD>!YgoOac#=0id`z=wlNDwcW@Z9c9gU5Rb#>u1O266fCc`9X
zM&p~Eep7X<nrg6IZg1ixQHukJ?XqRUCa_TOY4eQI;h!sdTl1OfEthP~lf`-eNwv6C
zKBwcO^t@Fr5asx7Hl%^aWs(#<7|C5)k{h#q*ng9@IWRB~3+N3Mbu~3pVR+g@mSOgc
z<Ig2@k?enP<HlxNUtjr5W4Ge#?h;t`!`?m~*seEoON%ozU^HCt=&9gQ;*jgcbC09v
zWVIV0zzIiDOXa8E&7`~i8SfG}F9XkXZs~5{A$`)3K$i>{+msd;uO|z#kYkl4?SJ@j
zppcT6P>rZiGygrk)@Bm}`*A*15$K2jf*%n2J3tUCw#yqMKzrhphDrg9Lx7Tll)kk+
z7qM}1A;Zf+X-dNgq|qAwbZ5fb7?dY&@z(mI)%;$D*ouNX3=I}S_}-EEfbK8(`=j9t
z@5$?~=JeH`3%8|<r<vm>`!AaG8_Yuos-BRKsxe8GF;Qnm^bY%Ei;^JZ8eW(TKRs18
zJEU)DNak2Eoy9*fcXr?o8#CodKb)&4qgYvJ-w<?$1qNkjXJ^NUvuhG)miiC3ot>Qk
z#PXPr*8wdFUWfhNuUZCThE#~`P)LS^9)FM<+Y^fH2n60<J5E!~6|GBy8&NA;lOT2T
zNuM875!8z48R!FdscRo~1+GWJp9l{hTyS!5?4C0s{S_k3gP$}>n#^qe7+r>o2eI4T
zSh-Xb1B-HC{4^kUySSa)Lk5J<l5&CRhv%l#1<xWfg#b8KTCNLr!?x9iU^G*R$)*N@
zuS2^ZD&}+OO9<<En=N>xAUzSdiU%xTP9S}L@Nj<sB*Ww$29|C^6)jpK3sp*CTUS<A
ze(gMyOBX<gR7y0R)}poRtk>7$wVN-x!2k0h;nUsqdGvT)x)m1wn?THIl$xC!%|DH2
zg>~_|w9buf-;p+W%N&U{s)}5E|Fr6;cEMcmV&29n4G@=7Q%NYJeC(d1!{$JDi9qMU
zN?%`0Dv=r)oZ6?>qK7O)^2TWJ9lnX)qC!dQu(9brlt|Ac;D^cIAcM{-ksTG36QdY}
z6oRm+X3E_3^Cwo9)x+Sdz=YSaxI2+u!AOs&(U07@LDRMI-g+NMsZu+)4G!~yUW}TO
z$9N~s4=Zfd(2`A_nNPKHo^V=8NqMvC@|t+}nGRj6xcu~9r`4;=B|eX>ocJ)iCOG=_
z+uPeczVI3g6(Jm<CuuP2^1I2{Nc8fMH;k9wbA1c+Afu$gX|Lo9(Rt*L`+qbp45fai
z%Inm$xPW-d_I0qRwDi}Y$(StPI!%wGBh>|eW{0Uv1gWRSM*>*-%4dmdJ+sPv7V&)t
zt8wU*vir>ZuDvIXk3~Ch6`ClZmHYziCl2(o%4%!7_m&8BLl$gIVQ)c}3KEPCIoFk^
zpy<}Y*J^gXD%8H)UV4nOAjMk%+2o^EzKe=I4+#XK5T;;HcB)0qoZH%aSCH#nftT&k
zvblCnv-t&N(v?r*q4?bp`N*K?OH%v!cm8skZB`MMA%Er@mbH&tWuxnBD`4tD*J|*0
zPv6C1bmQExWWpGk!n+M!$Hq??cN^BQR|dA<;liD3Hnt`Jq!s$b2oMZBWJgQ#%=pML
zKOqkiT`3m*S|sxsW+Xp>HKSjs&iS)~v0}!p>wGXt-Uo)zVmPGmkf&Xr@cqGIU5hY0
zm&xZ9H)T7a>M1GKmcbkMMjJD*==GMrrfb+DuAurI?+Z!j-ODC9!0}d?Tk8F)Y;@xF
z@wDc*B7=AS=_Kk(P(9JX+km{EE}_cK3x!i9A0N3qZ}Cst@~3t>fedXlwXifP3=aNO
zXY^?ptP+~_a$N*BEJ@+75gGl42wN$J=*x3C0xyG~MEVU@jX$fa#d%8yxmW2qVLaLU
zl#2YT=PHY_eF>b(A`$XogucK0Tto*@Q$@^!&r1uy(sQ+snWgi`0O^bW;{xE{c=B?<
z+<T$#kzIAaYd#9KU}9o&T}IWu+*WD1M)WvDyqG<qmV_0|o$J+;buT|SZEdjy;S(N6
z!8X_zPwil1&wnCosITWq3{LJ({-{SvfEd6q-tbTs*Nx-Ikw14AnIt=cNoQ@UURI22
zl>NT#a~I5~K@G7n6&$64Q_%{9(E9c<VUL$3AziClrJRzn1d@;;myw*y+hz2WiZG)(
z1EdUeJe-s%`EI?dn7R@_P7&IuSR<P*Phw-DzAsVKI{B`&FI)RN9E!T_q`?d~>T~8s
z7|Tsrn3J-+O2m9rBR~JV-AR1!>X+gA$Ve{o`M>5a>}_y9X;2RdCZ+cSEV5<F{NUgP
ztRc2NwRCQb)i**SYi@R*XSG?R2`RJ<C`5we>-G(IVGY;e&H4HHpzgW9JP&g)W>^v}
zSM(G`MuM+hPw5u>Uh<{OiseP`Q{AVi36YjC`$LB))`2m0Q#a1d{?%L5(W^-j5OFU|
z24rQ>h_=waFl&t?5j8S-e1P+qA~vtyb)4jRT<3Y*O?dzX@0L4|glw>-ClaSfztC4Z
zKRk>6^flTq3p4#68T>#25N_^|Up*WLh9tAv^8rk=<*1WLcrz4>E(6I+@z74CiBt^K
zOdzFU?Swqx3nhO@8dct8D|2xi(My@aLWI;%NO7{7PB)SfssYQ_eJ&b?(N=u;ITNlu
zjiW7DmQM;>DZI^PH|jMXl2TLs5`$AGG4oRJy_9{HdGO}yN_AhsviN$IuMQ&C*O;2W
z`lT$=W@l&oJf4k&eL!{u!)6uDEbD2klA;d&q;b{TE53BtE~`=YR4I$}a!yz2ml>$D
zUc}HgeB!47Q3W64xu|koKX8@=%m>)(bg-ubXj?6gJIp4#w*^S?g9N!rczj!XX==dp
z3nazDLf0kBCNY(#f3du9gkswk=06$MwF=T>d^kagJlWK1kG=EHuloE{-q*aRd~MjN
zYRnx>MaL5}sgElbvCfJeIoOt6_FdJ9IVp2I`WS|g*h>`ZOz>v8aPP(elBGNlc`M4#
zxW#)^A<t-(=P8RIzVW-g+iBR`bl=}3op!oE?tAr$iRrd>$8G81@S7mO4_+-bI-M-G
z^;l#^`<-GY5Z_w06f_^UqrPf9Y;O_-fiMvcoK0!$GLQa;wu^?N_c-$k7BVhDam8k~
zdw2?Eswv}%W8^QQ#E=7oED-5sU|Z>i4RFx94RI2m{fHia6=&NJX<-5%&JIgYU95!6
z_3B_gEVUX<?ve^#I!bRe(7BdzDtaYKFzU0)U0Y1_DZdBpN!P3uLxp=%+>^T(^G{&Y
zSDv1q*Q;(j29xk3Km@gfZh7afU}REFjXP%OWGkV_hIz&c*?;@pK^}QK(=O%@j)<!1
z#DT41MR&qAk_3{^2<1f!=77tX^8p|tX=%+K4ZoL-*$H1YU#^_(On}|X{sh8eMS^u;
zu^hX-Z?U^bzRgLkR219?KDV}8ql~5U9zV&1br6-Q4axiU|0uoQ3F{{0H_uWcbw+(N
z$GicD#V}}=>rL@lQqObv*J}hjqv9t*t~YOOvJcDI#a>~5x99@7v8X5DM|s6(sT{gt
z9RAxnS!WA2CmREx>3$R5xOzZf@#dz=;z8Yhf1Vqfo}QK%JN4qRpDNWx^sJZ<_G3L?
zTmZEr+J$j-MG(;iN%h#YvU2I!?_!Nbxrb9ZR0{D~WM5J^jPI)6HN2GsI1ohlE;B^W
zO#+9pEn6|;Nmm{=j4CYU=%I2OHzh+-8djg~Dum^odV64QWo7m9&d_7^X7z`%LL!{F
z55DnwMyfiu$M$&sf!l$LXvV%hA>-&F@h3A~GrB%{Ze66#j@V6uuVgmgPG=%ExhbzB
zX1{5a!1%rv!&R=0v^@w=!dUbFDW|g`_v~Fw`)S<RD4wY4N5+=%g9|wzwQkGMiXd#c
zHTr@wXmwhh2p)zK)R^~q;$q|xyT34dM!XstdO&VqeU%fhRquSZJt+H^dha!wTR$O7
zK|Qy3xARLXH;Np_UDXf%<ve08%+zo)bqsoRh?yMiI8kQ^_&F=Pdkt(QJ8@MrQ*Hh>
z#%~%-krAXvc|(dDsPIN-6W8-*Z9Rb@luO?T%3*SH^1+sK@fl-jBP;|Q=Pxka*Qm&j
z_<+s_$mJgHuhJi`Zb}~j<c0}dCZ=B{!r?RO?!x7cZTYI1VB3=leC)c%>)2x_3GV{!
z)gdiujZ#JVrJ&KV%3L8hPYNAjqz}A<$UX&6+>j?dVLj1Oh*La6$X|LvLbLte<XCv<
zYE+UYxZKF7e|a$=t}q)wn%QG{q(j`~YP`=GZEyG9sZZOa_+pwO-&~b0;hmP-WYoY}
zz8~lC<Wbb?5?7$+?IssSZ3lZ~2|H$b6}hNYJr6Ii4iLxfDw7@SbTkvU`@oZ=nI*Yv
zf!3Mn2>0jq>g3?qF3^yRSX_a9>-T<r37AJ{zH(LcTV5nX^@FvuOfOJ6{PVgpVO|1o
zHi)zQ^{j{;8Ww<ugQ!$KXyunq9i(5J^Bs)lyq_?(b8wiN@o?)MFexeYtyv;L)1y*+
zgH%vxTx-&+VQFA${ALa&6C2lFpX#|6-S~?{*NrQjFC1}jtFihhQ1ii5c^jQivuWe9
zJN5WoxddXy^@rK#=zF-pwrzZTeA$iVvFfc2Q}%qY3ium&1Jdz{(&{-gir=qp+h5J|
z0`{WdRgc{LnBd*mRLlL@4cu*&$<+Pb(gO)3aF#E}e?<X`VR}(uON%+#bsG5`m)r;r
z3>xwC^Als}qLzIutGP5N*fto-64eOtan|M~T=1@}I4>rGflu%$C%3kAm4JMO{e+nH
z2)I7K){PaW@3ybRgf8q~G3La@#cgbCfHCT96{qj=wVZ-LJGtRyOMHAc8r=66>g2=Z
zUka@m6;FWz4^8lpV5{AyDLb}PYet+8&6km37j6t{qC+P%?`z7L8l2CJzk9fK?*BN#
zpsX{*?uH#4y^qs0s!|6+QY6XW)J!bqYs)GsqNxE*>G;`3y?KseVp0+~;oPh{_CTpu
z8a8NQYX>um)p-&2b**SQP~ogDXJ#g=B7I5SBqUN%cHczWxDU`*AHkyNaAy2PT!${+
zq&gs8R8w2aHB)FkG&+hyX|L(va#6L1A7LsYM)8#PM}OTaJuNa*k&>0%rJKe(Pu#}t
zWD}k;*i`RRHxG03eVUQ${lfR8vHC#)IbW<6!^~%nn^l8E^Fw{1KaL7pYxDE-`AT_V
zgI(RA{)Jn2gui^aE`7KLFzKO2%b5n*&2$&d-7*I!XUln2soOfEHjL-e?Z6VB)ynU?
zsfQU*1_N&vL64K<rQ6_^%itlmeH+EzM-6@OF7>P%(doAU@?Mi8?QH<M>ki?Is%Q{&
zzRzA8b3C4}q|qGysP8a)ke{F_zqs~+HYI+<{Y{JPXCY6ZQtN5TAo9Jkx5|eDuPuT>
ze@-QXEe4K34F|=F6Wwxu6psIOtRkjwVxV{yYl6r3hEyke-r$4ekeB0KnW78;uo&uB
z-0nJbTe4dir|<OR4yb0sVOIA77M@fGKV|@io4CF%i4VkU16&tWR!QU%yt@zd*(p;;
zv__p)&-V_GU>4PH?hZUW*a;C9ID>IrIA~gtP<^dg(!87ceA>RrrShEl?x*z+3{=hS
zacDNqM}ORo{p>4>{e+|l-5ALEt-xu=fAbCi5*E}yel1M?^%MC%wsq>v&o+-*frpLk
zS;Cu+e4zPVFefuaH1AH(Y;TFfz|QW>i^mm6U4nL&Qn9!~47KEIV&#=k8=a-M=+FR!
zGQ1E@A!{S@tY<qLD>bos&1rFayI_?Ipe_voH4a*KWmrgWp~yKQbXhJr<3wL9#W<-P
zkgW{~AqxS(wrlDL=}`2v*y0~7hz9}n3yR-{r<1*%+SfVS*Rxa2=dEXCcYohKY?t0|
zUwAxR2tHg5d2GGc2FEd{`TVeYI*;8p(b8q75-G?!2v`z@tH{3`!by-elXt>GzB)+2
zR1OF(&&<q#31z|oImKQ*gtH<nppv~`y{e#vVFY;C<`G$p5m-M~nVC0L-sEdK^PAH3
zqSb5cZ?`7WtF8`wQdL)Xj(7P9hN|*E1YHEX*q4=vOo>C#C`phM86%es5OKYS1k<Td
zvA-G^aFoAKCD9P0&5jJ?fii@vPz$kff!b|T_&=I*5Ql={+sKE%B~BVXZ8XEwWCAqq
zps?2mqa{2Kyt>u5jVj)e@L9rUTzMY~o)+{KlP%(|%-7k-WyTXx3V`t;aLv;q#MpjK
zoG?0?{NVvg0~?@?gVBVMUS;p*=Ej2Gx^IG^?l&0`z+}#I!m~YboJuK*J}1sU$fSIF
zFEn2As|c+>CYi}`RX*`-VQPQ=6T4N*%EBkWF4Jssu1Z)+$-W2_`7^`|gb$g*-$ANB
zTq-I6<~3s~>y8EV)P%8ip9tfMUCd68_pYC?u?b`GrDA@2JQ&|~QMGE<S}woWz8(d%
zN!P36b-?vu>f6}d)OOy=k@L77Yq>6Lx$f3CZMkr1aX4D(D0N+Dd<3e121QeS{k2KU
zxrxVZmj__DrQcryWY|-^xOyygQTirts}t^FYUbOup29VCs~pg~>|UP)jEv4uMZm`}
zLWdM^ubduyo6`zcAmgbHRJ$f0Ju0;j{km5~W)5ZYMIS-X-P{C5*j;abPfScCLsrBG
z`^_{ER(B>jCF@1|=*miiN5LwX7XnT4c1#Bct-WXk;}Ix(4LIzrr*k<Suia@=s+&l>
zYi6;?aey_eWX1EerWVq@nIj@1%9BfXUsI8b1LLiQ^KNFcrHpLMzbr?k<h`^eR7!c`
zE01!{j`@J!{Xs46!yUFrih!H5lT+P<acGy#<ZL2KN>UOJCA}>mM6=*ux|A|q{*rHg
z_VeON{#Lb%@vNB3pw=7lWTvRk2FC+&6+aXIy!j+Pk&l~F0B5!wI>sK9Nmi4%bi$W2
zKK&yl8+M_lEtMKST33?pr~7ALY>=G*fC7{6=LaCc{i4_|PCwwU(_(aOPdjK(-Dwkt
zLx3*&Z%^Hyq<hGPUte}TPQQEHBBKYgo(lu|BA}{H^{Ja!ej%vV?1u3a+7+@v-Rzn;
z8ER_i=<yR-1{N=BaWWj&0ISa-a?#<4P_vL52ortj4GZHLk+0OJkA=4bYO_Re@RY(S
zOQj09)dO{ppbp9J)>C$1z_ntAk0)n5Jq$qXENB`!T%_S_ln@eeo_evsFu~vnpNUye
zGX#c!yDLIGh4PSMdb}Yxnwh1gcfX@)<pfgpfpSN{4{3gc&K&9arP{C``3E7axXRND
zQ{wB#Pf-q^mh1rg0fD+r506oHvzobrv+bUY(!*lRF7@CUOYwK!Og!c&%|GENVSj$M
zqnabt&3`}MSIH81aPxu|AC8ZvmFi2Amc>?Z&G|hiZC(0}@>iYaS6==FBk%o=cAnh?
zFx)+rqTk2t0;g5?N+})K2r59B8KA}MebWmb#fWd>6$3e7hP?4V4i+=L8tU(Fy!o1p
zs{-fAE^}d@Qd#+7e1RYUhb0n)ovusa#Ve!D2o(mfvhPBjqV#~k&5g@tg<g5{ta@P;
zo(SLT@6Uq8D1NKP;GhJt44$OeQhMU53yoN97NMZV6fE!2p>c9@9$0w3j?6XUs^6N0
zhp74Ru~D($AZ!?+IQ_#mHheTFW10G5loyf?nxG#=Z(8U`^kRya#te)I5siw7lP=xq
zSKs<FFO^Y3@3$~zXui+->M`>n4Bh9VjZ&ydGglsP7dt?GZKd^>$L6TEp=uqREElIs
zOu8Yg_PCawUqi|q3P%hZFIR$1Osasp<|rXxUwmM2`};faf+Pw!JKgVgfToVpcX<v*
z9Aur?a!8F4)jEPK!um+=8`cVIAtn~kJT<pBFkf@-nP-+Kf+5y<io}sRfsGr8bbA~n
zIB(K4+x2{u-7N#_&w|}qc!`{B^r~odB=K|ukH9hCw}mO#gLlp_SlHN-(YT_Meu=+%
z#3&o*97rHseF#Y;PLCsi2YXUyYh{(T#}6x1e05_Wxyp9Ow^>Wd0fJ&wvJE>=4{B-E
zQ#mImK|VQ-c!CIoXLm1GpdozS1FwS{K$+yj)(2d|s}_gzb2ksrGr(kCFl?Iqpde`=
z)jHfAc78qk%m&oWOvK}VW_Z;#HG$F6fqh#pT`GZG&J#WFW^t8Fgyith*&Y<HVQw(B
z=1SfQZsT0X1l<CCyO7{1I&V7;lz{~u3LC;4vfNCzpOI~ClKTpYzH}4ghE!px(M41l
z;Z;#ZP!YYTjr^36@fE!))5Z&3Lcs9ywxgN<xd|6_DNv3SL4iT)v(F0eu!^&5SU{ZR
zVF9P^J7Ppfuuz9+5K1t%XFzPkvci0|x8GQwytFXMYcpb%0**|wnvr;ZWH2vLR0MeD
zBeFE)K@{%_NxG%jC0f}S5(cM2?dum~X587_=x!!<>~h8>l>4d?6E@bkBIIO^Z0*+@
z&y7XM2Q^*wPFlV$uC*ljrW`MXBS0~VioGe8)C|y{X?!oNR!`9k=}TROXP;4V39xvr
zg?*6RmaI~`S|+nKWZ+ydpD(`4U^wGd$XhzF0c(rZzVY7@`^Cx2s{vByu`w%RBHe$Q
zDig-BQx^hmHa0e*wv00C`zCSSFmRsOc(3ymt3We6R(VPK`)a>QF`46Tw$C5*;+lqP
zjF-I>zTH`-bbZO&za`#4&!iMUZIICP8x&E4yE*6kjOfqaySk8q9zOdN$(+PT{TEtq
zAw)A~J!x}ocHVtgW>osn#os3cT$1ajy$wGezJ_2&uU~}E4*wA%H7Ne(;SDO0Y3weT
zG}g{A_$j-(>`81^LBVwWnJTTm30=54v1ebuhnR`xFdb4G4gLQ97qEH`b>rjW%9-Zi
zhxw}*zkZT>DTVrFO_u&=&XtXyqLIG-dgQ0SX->@tpxHtCslM#u*9(iksBGL}T4j66
z7vn+cl^m&0pP}#tRU%zy&MGPCTI3qm`~3Nx9VAqz>CXA`h`5UtBH$+7z)T<LA($GJ
zb8DSt1#80P$>V)x?Iiucg!fV2%D;)4S<<9WEoc(9mE6KW%HRE+j|tgC5E?e<NGuq#
zPfnTKxqBq!ic;r*#1;q~j2ODMCc`o@GjBKv_+x%DY1+?HHhdE}Eu~sN-G9P`;V^o&
zd`J@!DN)Ax49RVj0N2lIUBbI5F-D=+VIIPSfS+k$V_0z<o%3g$Mb+Iv6zK5U=`lgX
zcwDNwyTZUZfRIK;FgVzXXA2Dzo}q$n7wc<ww4ecuJveqJj3FV>0IsV|C8Ape8ecBE
z?MIQ8=ABLlm#w;zIYaiO0UB(O#%R>ES5|!daGf${R6CQsIX}!rWEA<Yf7+OgX``c~
z<8pJl=>DPd7f;xs`8wbGFL0ZRd72Ed0trL}kBklzVla;qQuYo@1oBD_nn!_J8#=~b
z)N5g6(YbOq&C@DGkKMolf_=qI|H(W)RZgQyBnCF^8M*oV4+Em5rGa1H&*0_7UsJ)b
zJqL}WlTW6eh@Rv~$|@>TMNKo$KF#G13wcSl?tO9F<tU$>!Auu?pkAT`k@Z~ke~$+}
z)H>!3UBE7N6Dmb^%p}jDy%PJm0MOj){&HNhlg4e6`!OGA??{*c*Ci1wX&ITOyzM(w
zR8+-YjhcD$n*rv2ISlcf=p4nZw_k_+bsWhL096RzCF!vNjISI1hfCIA48C!A00u&$
z(a1*+9Iwy7D32v~@r<!HH#fJpS2i&#POVIGDV6gM09y@Q=@>URJ{rv(i7coP)I+C4
z!D8ag{qOBCaYTG|xXvj^em@z0OBLx!UP1Xn-zO+W7voTlkg{2~<-%c&Yp}l`t;X>)
zxJJ`Ij}bP6|A#!C1bwOyxr~vn?RcF_CI-|?TlnF-JXb$O`8RxBUo5_cL9iqUIv@8H
zzDvX^7wBMNB5EOvk`gX)c9Lf*O4WVQn;YoB;iTZD1XIBS$(%QL_t~#Jcj|$EASh`b
z1Y90JiR8`y9;d3RYCxvpg}q$<ybTJovuHL2!Hkt|8P`9WlumeL8;Fs!v+CbnW~dl4
zX<$PKQ+HhpC!Cl4o`YFu9n1*uHFzcd_g<EtE<hz2R*^>Cb8p~a{j*M$LC471IqBj9
z83GXb1Ee3FgJayifnOzWxgqMwIY1*;by<IQnV)`5pY{#x!E>hN|L#N5!42pklb}5b
z?PM9Up%BG_2QiLq8QW^LGgRc_n0Sw=^}NYPAUALM+%D7nV0IvR?6K$k8~ZhQl!(Cq
zh6QiNwQilL@`X&;iuj$vhbR1)yqKxkFQ)f5s_Yxwkf^{bI@9p2rs2T-e>@R7S6Lxk
za^Z|`L(UPrG3!p|#ctbg|GfzJ9|Vcd>%J(paT;(cz|D*m5b*dBWnYp1ZP5@CK^=Tp
zp`d#zDp!oxaDa<Vzdl9^b_?tI@BbF>^pO%BuIAK0tC8;Aazz7+n5;ZdB{<p&4}JV>
zk=g)~$4?3)69uffx;XtB7remj@l;Ve*!kRi5>}#kxlgK}_;+>wU0vY6tLqHQxw^V?
zZ&`w^9eJ9}qU|{iD~e_OJ#*G(b1*HHsp2uBr4jslFs$}W6f1z;0w@*N^-D5Q`wOdJ
z6a31P1A+7xG4bQqg#X{yWaSWi{2>zqw%P%JF+<YDy(<j9qOKhL|E|;pl+N;W#OHKi
z5tY#f7Y;vep2s_=+XemilE>e7@&8-UkH3eI!2S0%9)B;>^$eZ{e{~@Ypc}F&1|F7n
z3%^J)9^Ya5=-1<_o{kn11z~N$+@zTH9bgc!6Dlbw1vu8~{`(YO@qhcv1spG+9t>Em
zZQ_plixlBs>7|pl38c8}>^@34P3t~dD&g~z{_nMb+QC^;g<G%B{nGa}2kp-|QvkA~
z{sdC4jg7AV--{IiLS@Mn^CPG{aat!S9C>#Q7q*&17fMJ>JmNc$|8~W$rxv$a7c+Xo
zx5x#E3L#||-~O!yT753!eG3dX1=4MPIH%XWBU};^hLRib)l)lmJgIecb-zfrqD4f3
zVl^1ckpvVCU#yZHFzNlM>=<S<o%Qb)u>S8BL~U|IYaFEERO~2<LqBk1D1J&Hd0!X1
zHq`R-^4>_xN@<t?o#zSj8k19WQCN5=U{$=OWn#;AFkO%gz71^K#~a`E-|CdZf+3J-
zLoq2jdpZgcdQnrrz&^1DHo{8>KpPi)skR2|b*Y-U7cRw$MlScN86&fjQHxv!yL*u_
z#{jb&T1!QJd~*C0D?bq*nHh=ePH8X9y0KKLlzJndAT+3C3VU^uQe(Ve2p(APi^p`y
zMtl_pgk1SeO5YF?`H9E{5s&c5sx$0;ENqan0}~Pr3j+Tw<z23S+kID({!#KGBJ52!
zab<=%GJN0$e&6ciX{h-f2UgT~_ZC5XGz^!Yh`WQSyyB&Z?(gz<y_A|cZ5QZdfPwv{
zeCK})E9k$+&~b4m^4&A+&7|VCP{fx6TPY%q<+GAK2U8EW+DUs2p6`q*CB)~SF;#KJ
zpg&GMR72NVt_Of{44$OJzpYh9Yv}I2_>vMI2Kt+K({Z-YIKjHWD#j|xkH0&;@X5i3
zk5usePR}YR*SY{L=yeu4HoqlI=Cf(1ORj$pQP&ci7rdXGe2$`m6wF5Z5N`+XC$?cj
z=&*Rj%n&J`k!Q}?#@quCFNx0`$tZ#{M-25sutolnzfKc^t0qBV{cG8heU_rI0xf4e
zLzp2arqMwyj`6)+iO6H{F1zsk?^-43KjwePJPHf!q0EVpE$5|xQO8A+P+wC{WS2SN
z6I5In0gSupY5Y*}rp2U5ScoKV!)fvO_!uCKzYx|!SpmJmsH#LAH6UTjAPPMu8Y$BA
z3AthzEL2V@*&C(=>|wthRf7*?wb!(I%#qIZic3nW=k}<lp0FePc;X>JzC!TiIytDL
zu~0^p01u3SWE9v{vYP`;Zz-Ima3F#TLDIlNm1s#ShaC4clhe*nB8Pp==<-!AWfU{B
ziP<kn9K?B;)@VTJ#pGj);MdTCNhvwXRt*!sKX+D-F`?prkEBq!P)0_^tb<o%m|BgJ
z92S<chxnOeTAnW~M8Ce8zMW5z85$ZYyNRxwt+>~EfFP_bB?E7SgW=z^s0BnTKu}z8
z>9*vWpPj|Y{KQ=4lkv^)mu2bPCy5I2xcC@pKM9?+&0JqB+;$~U;@rZ7fn5u@Cg@M#
zD5DfXjs>*ZnBy_GU;Mil|4Ka&+CMcqmd)+)<Xa=zj6xDZp1wGD!}%)PnJ+&|lB8~3
z02VzLhd8;dREOKrfm|4sH(7{6_OD2=m}mFSo7`@I{<j_{YMcA_;Z$O)g&$hlWMKxG
zKjLy<<eUfMwX*=32ympieLlZ;qslayDgh}RUxS~a0#@YTi=Pub{DOilAbOFPKB5_A
zS)Ttb2w8f&qZP5uAYGgVd-XUbN)!qoa=PtyL974c0{DwrsB(Sc20Nd0@uR!yW3Y4l
zh(y71(s&Q|HI}`kf<z3QDGBh7#b<`>l;rd>X^2uU0^p&r=t+~E4wl_><>SUhQx0v%
zWj~)LIjghn2`~~^Zt<iIB%C6itO@!Z>}5MUvsNh};K8|aKW-}$%Kut;{vb6xxX_rJ
zLqKB_qzU)MeH~xEBSqB|#L3U^Hm&QLJUOclk$1_EHWzxrW=q2WL1=2pCq8XJVzps`
zBlpLdq$rNaH$U_IN*_a*R=X}Kaq)P!CBf-a0m4u)OjO*YUTE%I;@|N0tkE6!#VXR&
zR4QoY`y}l>9);7(D;Bnon-cDkddrXl-uLYOS-=vHd%bmuJY7*y5pgQ|;o+pYD>W?q
z&7m44L@o+!%)kcOvTty*hr`Aa(JfM>pJ|**4_Y}s9Z$mI29l>RV9)xHY;J5Aq<z9f
z`9x3OM-77{tQdubi#JNW5WboNyv^BfP9B5tZqvUadY3*@F^$XW3p?SP>ri%?!0wYq
zz(Hlg3m;s$3KaQ{<zLveXl6G5ZHVw?Xrhb~K^O0;mG?BVH*?TD{=3Z=usLf;VrlxJ
zcjtjy`6lY`QybD$1P{wkvPJ@su#VZEO&UPtzNqlMWhEwjoPn7G?jDaVX|QqsOE7oy
z8Nf)?mm~U?zm9xBWjQ=k!sMkdpq&CC7{z?h>IU+$-Wg+F?8vqwA73{(Fi4`@-J6#5
z1-zy2f)ZK7I;|;cpE>fIwI5w(mkH-P>T>;NHwqJ<U^>BC0D+w$7UNI`dxX06X-)uD
z*9g*QGvlJHDmgsby|oZl#LLWohqCCuWPpDaC>sI%%KsOq7t)A&@B%Z&w@u)xJ~}!|
z)sRcI0{%5*-#+^}#yW9aVvR#7G4@k10ggqgiZ~X&jZ4NxS85jb-H5SjZNA>nNp-Xy
z#gJ4<jjkm6H%7(TpN<=+TVq)x-RgxgJP}o=ckWB-!G_tDVbRhUDEZ(sLPF3-$KRIy
ztq)ff{da_~{+G^W1q96Q*|z|)A}$09>-av<Piiuc1-8LpL@sMYe`$v*3=0`Lncq8$
zqUH_{5G)x{FH`07xCgAZWa|8C-mnjWtxSEJka+XdM=4%eCNWWSrr&9k6LjifD}IVx
zmZ@4%OdIuUP7a<dWBbx>Z@}D=O6j7DHU0V{+A===pno8gHzsTfQ>!+4c*hJi*}?YM
ztx{W!RZ>3#5(5`^k2Df|Ud4ZT4X-t5g*lxVB;`)ss30LhSckT*B@5;NwD8rrWKQqG
zA2Y7<_vv&0Y0^(hDWL-+EOpv+$K^dB1BzHucM)Cb(y8E8M+1Z0rGxOU&A@;FNO6hi
zd2p{fg{UYy0TI_=vtozlRA@0*0jiK_i4eSyC@0vFYEQjghsdK?zp&$~+2<~p1E>e+
z4%|zPg?H%=A!JFXUHw{?!Z%0xPMcR`7p2EMV34%l-c~aAZxd4dw+9T%CKqe1RzsUq
zLJLpSljKu2x%FALF`MS)qSgSWdSI<~X~;gRj>=kTFl1G<li(6MS@cHzAU9A|yObXg
zMJ@yj{t=|rOx|TNMpJdHs8RUFl#jVrX*uwf0=?)!NP(Oyu2RTyL94{1(>II_5~X<K
z^-aV(hrLdr^leoE?Z9%DL{8$|)_hbsQ2NxI0%A2IhJepSj<mR*(#Yx`K#cg_eS9l!
zw7>5}K3@XKtSIY5ByB3@7&PRs_5~ly^AHlNe=C{fB|xv$;t1rraz+f<Uw2Yxp+WvE
z42j3dshqov=WofbhZ_>BWTW(kTXvlj6({WuCaiyHx(Kz~oly5&oS!qq2309b5%}xG
z>4U_O0DTGV?ZOWe`W}4NutogvXDgKC3}EODu@h-Yg=feM9*cYf`YgHbL;%G|jaHV}
z$<XiA8)4}M2tcPdi<WC^PD?gpOiN^;y#dVF;G||j1Aq=V?sW@x7T9L$Etul^5Pr9P
z{!3F9uWw;i{O<dwaH$+;fR6|Y!u`7_$^Tsxu%2~(kWvl@2DR)G@KR*KUi4hb6d6*f
zlY{pYf3`t60Vbi70z#_9F;l$}AWCepP%e6GWQe6xa<sfVtE%cjP6`InajafCKrQ3v
zkG;NcYPIkY3h&xCHzA^{!F!}au5qu`;V2SP71?$309`uCa_G<BdDh%qT#2$*YZwY7
z(8@GH7_lzT`mt=Ba{0VU`OZ}tu2Wheb%}uyYhO9&Y=NoBu9i2VXumAk+nJ)*tw$~@
z*k#H?Ld2%9r2@5v=y6dr+rq$>af$m^;Mn_ODa7eho5s8wA;<pFn~OL5lj$8ft=pgt
zB4`8wUj<+^E^t2se7wGl%#u*Fs!!}OXD7Z_&KySS#G#w1{vhsYK=sD|`mWGu+gC?h
z3c8FWxM%5iU6PFQ8!@bq_hbQ9ta4)lUm}Y{q*rWthWgYIg-B7}PsSDy)~ZEiZsO5g
z5I%vU9lDw54P!Nr!pp(O`(-v&rP#w4uQq9y;&*h}yAR|;0nzP)cHu<ls!h}4x&d2S
z(XW;pf_8Uay0}4`D<FXZ5P<&*g%J@^-<Vu_@;K8Ml{#YRt!7z-up42>jjl8UQw|QP
z>ct#y-kc@mfv7JM!1R)EZ2uf@wKn8OEC8k>u`-I~!~Sj%zFSqSh|JEHjS^^IbkqcX
z+nD`_D!tC^+u~*07jIgJ)r0X>c`G@(PYlvHi(itHqfC9AJUQOlQYhW*K!%WVVptPQ
zzUyspfwD;~Cbk`&Vt1`Ul|EV@mbKtxaO!@ti_3a!Z0x({e7+$dPlM<q9H$RrbHdd?
z@q+rxGff{PCuYRA`XO|&w+<<t|H8yk`@cdE+dDu}iX9e<I)50K(HQBTr}uOpq4OgZ
zeFalIFE7Act`i0hOLoBRYI3Y!P?l7;{V;W6&sQ3pU_^pXlB)*Sif9=vx?cAaPr);*
zvWlbc_0Y+_2M0ybCINl?#f1eD1wW^9*b}4*zW$RhY4Ms<MjTJ4Wca6e!eAiXNGA0i
zhMZAc7@^*NeElLuQA{zkKi{z+Pow}*QQ?TUQzW6{;jZsM$*HTGwd4T@!Q;TH76xuO
zI5ec?(Z1XZ?yvy{SYV7L^5y;`5@7H8FN3zPjFEa_>{E&wg$C=rz3~3P+n3yn4wvv$
zSGWH&3t-EJJ5>V&8jP9}XJ)CV)ev0rLWYu3+{(s(98(QlC-DXQ{3W-Mbzq>J{*$!H
zMK~BOlL+tZm`;BYywRfQ4G0QT!lra+q8l>Bjb&Izi!7HGElZ{mDTr3L&`3t&P8@n?
z@(hxQj25F%2yi*MMS=n{aPf7EsxYY!>4Jcm13z)28pC?W7n&D$54#Ia5h?H7I1jZQ
z1UKg^D)Q`A)OQZADLdQzf9s<?iL%7=gHiGP5Rxwyfchn%kmWZQ^)p9w1Ox;QD-qaf
zt7VAw8O|3pWSC^O&)oQ^WIV;XcDvl0Y$uv-jUFMYlj@RjzS$EJOGDZfcYJb!cOl#P
z@0PaQ>qA+M7(g3Hr<>&K-tch5PW_eZ{j|y~9B@o0^#*_`^fj)ntqr}Zhjx=g>@~A0
zOrUH{3X!=9udcQCoFZ*?tS!%6=3m3Ne**!W=9o5RO2|yvRYIVPjZGjc%}V*6I*oG)
z*(}Fe%4%xNUR8P}SHEN7&Ej(c-S+P4RAdU#oL8rAvDpMK0#R3aA`kjx^VoRfO=|Ys
zZYolUD0|mwZWz2-Y4n%o=g0g++5;4~u0++@#Jp{~$}t22sth`bQ#7<pzJ$Cy5Cl4m
z<{W8*26H7u^c@5hT$^E8h=?nG2utNn(lj=w4k!==W#mz`!a=Qx9Vd-PM@L{VLU4vw
zx)uHF?8@)DWrFC{ewr_$o#jpplJs^l1u=?%<<H*9()n_Prc=5mIT?+BvXh&(3z>()
z=p{bE(tD!*uuN~(p3&!jLRkmmlBwsdRB`wImP!mM5k$QoiXAZMrQh-Wl_(9Y1Lmr2
z>NM*#H&PB}tAhWw`)$Y3;fT-4d}2vrU-whxnto|PC+TYjc7+U1$s1rxrC}CD{m+Ar
zTJn5%=54O7bd}8^C%QE;ZFG+W{Y%~g=G$_hy+5}H@FC{-a4UW%aCLtvkPacpvU6)^
z2iUKFs^|Xr`uM|)0R}c}Cqhl4PJUQZ3YDmTKv*;3trr~P#)iAF|CN@HO-DjU9nIU{
z5+*tltdyPEtSL52<+CZt*4&FNEw3bRl`{x*Q%va9@^oqQ>2R4VfijC1Qy=lUZCIbr
z`S_nd!QZ}pi;pY))KCo^K8>%)kqRaXUc2~pgs@t@Hk`3hub{@3V(nWg*?iUCP&cnv
zr#Y#9FjrHmRZ66rG%#RAy-K}#^D<|<x;T_3-!V$QA+?I>eXsu{(A+9M`%uBn4LXgi
ztXAEO-~yrH9jrev&>!ha<B0-tr1L%9z<C`Fim%?-W8y|sO)0BRT8xL*bv>>E9@&I3
ziU1~NQ=+4pP#;O~XRXF!)%8cqi6Z(H!_isWX*n2r0GO=)zQdYDRtv6G)m0iFnK{*%
zu5@*E0jESX`)rxFCX|MfXLsD{(Xo;NTcL1bwj!@Z%Yz4vZ2<4Uw`7N1bIO6(d@iSs
zTTsTS`41SiA>p-WPafc!-S~<#g&q=C#gX!&Gh%YBzL%q5fkQD@eU3oeKk{63R(q?`
zJI`Clu$a?y`X`qt8Mw4TSjQ5uGzpBsIH>~eOQv0=#ufb}@VMAEuH9+Sf{hq@*QJ5_
z)9CV^{T%-4RqqM)rfiZP{z=qtRb^`5N?%z;ik!c`Z>7*TY^;cbSt{FynJ;933q4yW
zPpWWEjM*Ge%uOD6ZEvaPf{Wb6-9LOsS8iP=xpWb3tpKzUt*x!iOG<%;R^i8-54Z<%
zO3c274s`L!yE}atn3xu`mHFz$vy*A2)djJNuk998clb8-q^Wbd62^I!rH!mZmL&_S
zzQmdE$u*egX<e99(Ha<_WMyTwTnWO1t4pEy_u$YvxLf{sqgGqg6ri@4*06<9p(AJQ
z8NA1T>*f{>X4&6yYf4Fq#tp~i@T=qm#!^4)Qj<_h%l$3EIPm|vd((KR*Z6-}%Q>lJ
zNoi!uPL>SH*iXp597D3po_*i9>SUkDn%xOQ(kOd&g%M&xh_RJ4WUFi;+@G)W`~M%^
z_v`h4a^DZ`>p`!QneTOduj~5kpZ9yHI-_`xh${W4G~7GK7tibB>iYa|0eUF&l`HDU
zmZp-d-k-|b409p}FBHS#)l+*n^}`M3D}`O`kfGvYQ8t{_cU2?VH-hagWo;vPZ$OP>
z+4o}YRS)tma4ST`oPEu!UzAE>eth{_ltencplG$xb4I2bw8{|%Tip40uM%5;#kyH$
z^vOODgk#m8N9AB$^{icEFRj~Kw4sx<c=BZI+xcddFTpMk(NJ)C`}U0bk(<=lRZJNf
z(t5ovpVn8o>@8f@j>Bg0YV`ko?J-#lg8}Sddamp~(5r>Q`6~@8Gc*699sJ#W6!L%N
zoqeO;E%RiOcFEiwp``wJOacMM6&C%6A3p(T*z5NW3}l$z_~fL!jaF9{)iQG{C)sku
zBwt<bzucR}uPGcKL*pnD7l)-qolPHhtpjY9-uenRd}=b5JuC~kPyZt^RI7yJeO4OW
zvzFGII%?DGV+~hmkM^P%yM92iueF3vz^f2eGh&C*{OfzVg!G3t@iAw|#IjOXuB546
zX_zmVHND!*GDG=lTvcB`CTE<{tHTs$<Lg^Z_KUD7E-wB`VXs>fnAMKX<+P5hWxE*f
zYbZ&iN0UpP3}RBS7ZXkj)ewqDxYDEva`@9@+E){}``t)u59lYYpc9bfXNt^|`B1W{
zx=3E!2$qknOGqFp`OZG&!itk9U-S4H#PUf2lxW!piw!NSCysd3O`3}`yjkB;bLvS^
zDRL?v^IePl(cRrWtGNom=Pc~(qK|urog+|Dnu5KRm1C|}R?{Bhw&nniQe%q4CsdJZ
zgWjsUTvx#*xkYMxb9OUH|Jk&MyK4G6QhakZ@IA^NcN>REY=1i!3hfb;E@mtBZr5n*
zv$DvsIGMKyGFTN#cTe9JIkq?OVsQ6*I)3-^kBN!&dg+6gNAhBzldM4Cnbb9YL6W^e
z?_f>}=PB;8zb8PD=dXoraC=z<*x7yQNRWRHl+?H57Xi<O)22TywFS*&i#1NhGvn32
ze?WBy*_ep%iV&6DP~0NVW6(NLS|&8In-e)wa;b+wuog9BhaFEGhtrDj5yV6H&jYVX
zE7FcAUOTx+RxLLfkPH1~a<%!YetS-Dkz`k!<U<~$di%Tg+5`nW*{G<f81g*XH9wOY
zlCEpO#YJ-S_m#erIOo&IJe1DHuW>C6mlRik#_yo$VyioCU(4nxl5VJ&@;IU6qQ{q?
zgzZkYv}_zZc1$SrCd|VV`=933612xv2oLQ^&_MJfg=fH&u_jhsQwT@vI{9sLYwLw+
zjq~<z(3S4q-j$|=Kd&q37;r-8ETm8Z)%x?<aen+$v*E?*MPoeOQdx@@j+QYhEJ6>p
zuwOqHC8|>=nHJ18oGzDbS7%K6^hM^$Ozyw!vw=Da`Bn<?3NVXx$^YJl-?93UcZkbA
zD0!xx$&q0e8<YB0EZv*kPsXh5W_hY<l|$c8%?I=_eaFCn>eb!)iK2nl>Sb)!hzMtV
z<Q`$<b~2O96GzEWBByeP5xG`h+y-Z6l+(xlKF*~*R+3u>CtS9Gsgd-`?z6U~83CRf
zDoi%37oHW4$a($;FWqD{j2m-RAo1hZuO!MvcJ^XNa}nHLvy8pFClJ~IzU>7{<m%P!
z&^({1lWf-ZB4y`P(?=SNF@IlPS!-4)HP70#_qkvh`lA!1CeDRx7NcW}VnFjns!Ko4
zaj_O8pNatodmPFSHLaLn;W^re7wAujDIi2#gj6mrqOp~g6<?#Ze}dK+4|lAf*71&W
z%#$lP`YP5EC*1m;5xr}vQJGNKAN+4CpFer>#MQr&ZJpWRTmfqr*B#mA+R+8On7N+0
zPkxId4{^BXrZqiYr*fjl@8C1gaS|FtdPbaAziU75ET7I-NZ2Ox2!+`r=V0(QwLHv+
z;o?K$`noS`S3EB$pTNMt+qZ86&ycvEvb+uXYW(OKX{^I+p!(&+ssu_OKGwyNO*~SJ
z=GOPK;mQE{fb9t)niBd{FI2N9_s}QVzW`Cx5256hp3Uu0g?!SjvOT-6C@10>^y?T1
z9;`|F;VPuLyV8gm5Eh-DZXLY!C(MQa1R}zpH|_0iL0;&@Yo@Mi>4dj`=fqsPecki*
zFGw(GKNC+PRQG-kC-TC}Wi455G{BjRV@!qmOUWM7g(zEYZf-o*DZJ$a+dpm6B!?>K
zU|mQJ!BxQfx<viCXzAmwh%S!V1{ag+o9dk^>g67)_s8pWp6duN1197WVvL@Gq5>#X
z&F%ksZ~soWx0f*WQgGOs1gS{n%g55ik@lzR!qv-n*FO4Xr4Ms)3D%$$7^I@ij7W;3
zq0<~39Ev*%V6sR^NIVR#Wh?I<q@g6o2)Z%1KNRedqy*m}#TOc*Y<2ajj!;p}NX~B`
z%u`YQ^&&er*X@Lv(B6~9Z@is+kF`>Zo&8GamCeP7X^Yiqnw6RIIlcc3m9dDc((7mK
zM1kF5mZXL0L)nr-rq-^x<K86D`1X5cDG3lV2Qm#ESnCWg^I<E@-3R?9)7*uT^Cp?m
zK}$ttgiYr0VkIa1%uAc1>!Dy(i&Aa0yDDDjJTojFHsv-j(=0zP(UIznD^=0w%x|5U
z2%0AQO~zko`M4&fel@u`P2i&T;1NEfAj=B#xKPFAYBsLR=S~StV&M@Or}xLeJ!usL
zyeBL*=L5`?Z3+(pU&GY(ruHg@bn$0jeT8c-4-r-V;qHhJQ9$rC;dZY5sI*qiCSI7~
z{N=q1v}exvl?2JE0T?2<1Er-V1vY$z!dkNasoesC+Y>pfj(od2JFHzM3l2xAsM<9C
zLHr@oYXHar{H(ay3^Y``1H_@7I57iiu@x1k7knE+g7Zd4M+0z^Gp36WFoCd%Q5n7_
ztyqCMrTeK3n(6Z>IxlI&RH!pDgMwqu(_HA4yukmD(s3d+UNtHz3UtHH&W>*PM*eG~
z7nUOUC108AFK-C)@p{y-mIjJS0V=nen%b>~d&pf9Ka{BhMNSQnyzp;iJ8s5w+NZwT
z^%~its=37@@ivZ;nXAuOvI4SS+S=Nz%~F<vHMU&|0&z0AgxX>8;%;ePjpBiG`sOHB
zY7s5Qq*QYj(FeDmr~TM6O;4(PR9uw$VSG^aj+>)+W^8P%k61G!10{5_!4J;s@H4W-
zJyLD=VMx8y(5S%=nNjlLj2QfE{cCo#$k?#C54Bg(BTvabReGyhr&Wr`B2!M8l3o^4
z+1)5nXW6=;pv98nVm>~;1ne5ZG)CbFu&8n7Id%UMO<6+WPwAmkJF^)~Oh1*CIg^~g
z-j*j-rt;$G>m><3mOhiFb!W+<%qb_^;T`+A{}~9>$7g7ep)Oc6!oSG{QkQD|_@T%z
zfU-{>jZmwNG-aZI&i3z|p_9D&lV|VgtJ)QP2=BpaCQIs^j#P?TjLao3G;QSSf}_P+
zJB~?Uc^E}s+<F#)V8x~4c}iIdea3<aONLBlB0?I^#m=@|Ne*;W=#t39o(poyawag_
zDp8O6MS8Z!3`)xPO}}HF7dBRcV?&idOBVvCR?b!%;1%lXXy|U>l2TpWr|4v__On>l
zT1%$5*{5><OiR7Mlj!GjojQp`VIzF?Uq+!&#usPW#c&1cg7##8ATIq9^lXyJ^fXbJ
z{FV4pl7K(yi14r_7fp=Tm1Di2{(kAX*t%B#_D`$hsWv4WT5$ELjHM41K%hpl0G?IN
zuO!t)azelvquaN(`N-={n>F9u2e0R<8M0TbZ!kIzO5W5QV@ixk=2;jSa<2n69w4r_
z>FaZlpk~5s(Us5XMxi^6(<_b;)rImjZ!Ma$b}7ZI@B}6F{fsvIET16FU|r(_55-(K
zlyILk1Y@5zmS>L$#|f(r`fM@JsxPqE;;dB}1#PRGmSy=i1wS}tjej1cdkijl$kvLH
zOO=}-=~j+GnNuD4{#x-&g}q-)HMV8MC^`Kt#$2U*=mXLE!}C#cZY_h+#i&~P%P9ky
zG*;tEwoiw>!T$rq_^eh?wN!V9=#H>cQPGlW-M9wh81=KfmF-M&4TDuCP$K3}ia13c
zTH}=5XiWUG`tK|Y5@X+bvEm^!VEBF<E802cs;RPEi$5pbU+qSsW<SL#GGI6!JIl$W
zCAe05{uFu@lk}w0sPyGdCG&zzgC$8%PilAfrh?vN_^#ynjfQMZ%kH_K+rKr#v`iN-
zQ5Oh^6F=7Gk|>SSX8#$U{iXN?L@K8$-915dx4p`ZT)XVwhW|no<HE+B)Wvlru<<!v
zKOLX>C~06^OnjUgjyFG!PW!pgxl_Z=HwDxBiYM3IaZcBAc?kA<7E0CF%$q%Db0i$(
zwy4m`3`65OgGUlq>z31(>&%Y01ZbA2%H$XjEOYYdOz+vABuEZr&3UKbz5V;LuHp#q
zvcE(17N`+y&&tIRFn7?Z)Ydrk*BR_)x;<FA_wF6(-_{qBO+`Z*;>7j8UyP>kFem|>
zai2r)9AudJ4{YFl&)}jF5gFZuT3lV#8|sdXEYZXpx)j$aYmXVlqtKd>lxG53&)Q#&
zWI2_(m0bA|Y9pLa0$M~Emp+PPJU!zA1x4`nyh@xhN+>)QABMN+#}e_BejcwIEQ!^9
z_19FHZG+qmo_V9<?%n%aQ*`*js-rXo2lNlXmH~FWCVmTUI*fm7#z;@SHPEVFO{JDn
z<2b?LYPTCIsuFGj)T&S%ytA>GSlN~hiHrpvjn6?qIUQec$JzPWnCpnM0r7q4yw3`_
zD3v2GF4LSjbB30-{6i#2lQzxk$X;=OTU`a5UX=?X!mbHiuix6^s+m-9@gM1{#M5bf
zO5aJiGxy$1m#uUc&+aR?Y|aYbU~0BsaCe(zo`pmfgkxUu5gu01q`VVT6-+{By?S4p
z@+{S*&rO!LFe+7n!M?H-4LHO<Y%1QO%*K8JX0?N(qin9ov13mb*_-|n%+9;D?0b};
z2IhrP$1BeE`%G7}cO&T+p&`@q=D8arxi#$?)8%jrl@93(N&<d=Y3e`ROAWM%HM~g3
z&>N}UBdoY9D=U{!Y>?AOa}U`uwGLEvMn*<np5^Tesy~!aJ-Uv<DP!#>Z|W;^iU-TR
zdo<5z7}T!Gr7T<3INywjh>)@fIPuV>9mC8egL(G*_V;UcDBBz~SNqj5;v-IL99~i?
zOJZuWIph*I7ZHaps!^D#nCAyb4QTehL_H`umlF`OySDxN^NT;>*bzp)V$r6_Q}$WK
z#7C6ntDKZK-&P}tC=onM)b&P#k6^}r|L!Te^}Kr>m?u*76qx;MS)9p69rZ>%v9?k=
zCzySX+VbBo$zfzBi(|8lSo!(t!WwiW4KAmN?Sb9jCjAE@1`?utS|D(A@7_Jfyda0I
zl^}f7xLcRkH*;T{wdPl>$)&S-QYAI34TWIEq38T59`Q<fy-r+}Zptc}_HXH#%OASY
zaAP|pxeFhvMbUT_68u9ZyqH+|Z}wCy7ua{I@bFT8&wL0jfo5JZu$PwAtWcwh{#PwP
zX3X1+l`FIliFQx^Hf|2~+oJq)i5jJUt&AyAGnpqL8<%7ssX3fhUR3Hvu5jzBl_ylk
z&dN9X-xP&r;LcSw!5aJCbb*Oa7>W9cCO2jqyXuqNBd$?i;;t+V->s}(*fSGq_=NcO
z-)W0U8mjSwVf#O;&dYWqgN+(2gKp4ym*#9-a*|p6ix;27wlwj%e@KQ8`|;~f{+?$a
z9v!_!uzc?-zr1To?PfAw>zn*abA!b|ipVvXqhXVUKCiZC>i8h$_$sPh_S4Hn?SO*&
zycrZhg2}nDG2vc^s*-h0=syDCDf=;*#9#mXoDz$&zTGg39-{@+H`X}xUF5=Qdg<aa
zJCD_j5XDrJ>~G}oYo?%?^q-&8GO&(SeHsUSKg0~BCt`APOARZ(e}~c^&mo<UUz?oU
zY1p6^J-yAg5tY)>;-=m3#r}xayx22-|9sNZp@p2m7hs-I^-CVAIPJL30{Sw>4a0~a
z&C9o3veDcfO>WV|7-zSf)3X@eWS;owUoF$4qmJ+Xkf_Q&z5Q{^ujNsPm(_cR^tqD^
zrUf^&nce&f){?8AS1*4Y4h`30J@d`?>A=McO1t%`XbGuRd-0Ss%{hU!w%l_kXj!T6
zi=?%@-J)wr>PKz2_*z_*t;?Lhe~B9C87Ss1TsD)}_btE~%0dr?HHjAwKH!gi&&R3x
z;Ev!;y8FRp_NIi>qt8tw6cs(zr?kr}GNxkR(mUmPx(k;%;m@0ymHygjZ^)iYyVjvm
zYPEHMh@g6^!?PSqf#U4wPq&30)lc9kY&n`DI(tT9w@t#*@#(F(3NkXzIL?NDr#@mm
z=otk2P*(ZH?pe+@ZsPAyLTP`f@<1Hq^f)DjQ?N?q#%R(w&yd8JtG{?kHw_(K{-BF%
z9odVuF~L-OH6A5VE>t$`M$CBfgtNc?+PNEV)|h-0xVgmbX!PvUlN_{(u%O!Im?Z57
zmBP}J8NM<F!xK#*Qk`DfDzzyJiz+HPvc!&BHmtf$H{J2|GON?aB~(gg-H;u_6du|K
z6^J;M+`J=i=z+Okq9jl%Ob{W92Itw?#oXCGI|uF!AY&OVLSvJuOK&A>*U9#Z(o#Xe
zY?U~5>DuJWSM9150x^_|)P$E&!a}nR1=v!M*}2~`DUGq?ess%Y3AXx#2J9(bmYVUD
z<xQh5X}!`X+mQ=5xu20ER)W|m34{8L63=Vqc9$i235;agKOQ^vr1`r>`;?#h<3>kT
zUrDTLth%Dm6UNz`7@Rc5FMl8^9Vh)LnK7w1xkkBO`D;7u%iSt=#G7O-gJ5y#^JU*!
z6Qk?J6OR~j<n-ozl3srJZC?BLIdFBi@3pM%wzO9BB+QD@*vs51ePFG=wwCvI(xRkA
zo!|qm%KQIj@c8810-8ApzWMaaL3t=DYLbJxa_qT%?%QL!0nwd`yN3F9BEo?h<1d$M
zDK}d3x0*sxZc?Tt3-kNOs^+ktG0A9RAm`G#no8Gf`#tA#5=2Qy?B#Mlj-*+ch7h)T
z^FdeB@jG0aw$py5@g=i4=zevH(w{0F=`=&P;_!kb)4blZy*<!D$@mKT52@xY4sX`;
zxK0~UNY0$01m6+h8dO4YG2YmGqr{h;Ew`!r)4fd>tE$rHpt|6|skj*Q`gNbGtZv`d
zGG=Vj)ge{p-OTSB)+nG8mZd&wOGBBc6z&fyHH2`_@Q)U;X|~inzSfrGw#I~&;!6Fu
zq;Y>C8j;ZrAL-0q4N?^lLJD5BEYo9@Rw=5vVxN!pn;vIVEjmXr7wSwCjU2e#C34}E
zew}ImLwkk`d8xL!V&5g$IKwBGJ<R-*&)H{Le-UfnGc49t@5?Nz6p<4$kuqmxVUZmk
zLM-F9%s&q=RQtE#vNWvzIUSN~g>av=Mt8LXq$@zx;jz-h;0N>&SfDm;{-oK-+PJs4
zuA5qv6C;<%%0Fy6y0`%<rF{f0@xccJJ^X^`YrOpp9E)ngpoy*M$#ze0n7Y!ued<|l
zh2xf2B)wH2mV<p)dsNV`>gpX|(Kus%Lp)b6Wf1c-);_*-`fCobymlpFMUi5Utl}^g
zw*IxGem<vr6~eO(mH}*|;7F5=RP4z9_2%WGUzncFf;+S77lRuyDlwoLx5w{@XWlO<
z)AZtcM!ZpZXZaEEwt`!!yW#p9mh1WFp}9GGo4gryh6U=)pAG-R*xx7$5*(sk(QI-N
z=fF51jMx!sbrwz09PGkZg*Ae*yvd^W;+c|ZK5J$&xu30Fo*I=U%5S0yn-e6KF@9WJ
z-Zc(+5b@->V;^=HmDuDv$q9}uE;A=P;#n*7UnQ%kSoi)tg33?g(o8Fs#9tEl;^W1a
z@_|Lxh!Ff^a12bco#K);{d16N*8TX!+{f}fmt9eT`U3{P@lJEmwB+;V0qs#|5*5p#
z?V<VWhfIfek3JE_dM!s`GdVaC3k2c{cr-?+2iT6>n}^VYXa9feY)7%MBEwMAi4aLo
z+P=SI4GRJ5O1ET)_M+Fj7!x~nCsmbNiyq2a&YHW_FY8e)tz^5QVjb*ARc55Qf0oyc
zj_QOo-y)vZH<J?pB<9nnPqSHsFgrUQ8s&ocV#nIRJm+i1Id&E$-!M13oW}j_s@0Q~
zP>V)oAKWrhNm-RZ-VCrym;|6Z_`&1!anrW~vns>JML3gKXkJoSHXKgWsW3jLWbQv^
z4}`_!Rz=1rP6n@jc#-VvmT*C0!zz%Ct36y0BhQ0hXRO*Gf(?;Ba-Dp;N|H}}%&SXX
zUZK;gBhL+`NF03kAj>GEV?ZvqmpJjj&+|u6Kb~GA8O0l`--`l&E-|dKP9W~$!>Cz|
z{yCG82j~LEeq)<_N`K(KFeM7jbv>O;#=UUBc+`2rq!wa#HKro@q$~Y7br^=b^lbf5
zB6U0^oz1IQ{)N5o_??qxuJenFiz{;1kWpNtJCy2^u<;3IJo6Gs`rPIP7`3!rQH{@i
zk@q{LWs6AlLlqFEm|Mg%+XB>Hs;MVi_l-(lMq6U7GC_KwdUztIxGVwBY`O@P4^TV#
zvMLufi(@F1WV6SeOp?(xh~X`3X8tT(o9oPKU+`31YRgb65Q-fFN`AQ1ks<Txc8!)=
z=+U4~a_D=m-Z=4nR<s6Bm|jS@D2?){-vyVsoGW{b$n@wDsrE8ij?`->e!b0<pk1Hy
z+qqMctH7UpQn}Hv_H^VMPBpw!R<R&Okb!|srawpGhF$8lmWZheoDyC8cL3h9FB!6i
zJcn#LZ!EfBoG@ZZkncT}R#~qZiNP2u=!)xOa^7N-zXD@U@z_UAT(yE?!mK8~5@Il>
z%Nm^D^2{i5!#$dV_p$EprC*pk2eRK9ca!v289?v7f*Df1k3@`fp;+`a1%*5wjpltj
z&_Gur-;aNP$(?NYWev%h^`7{qB`8gqRLSjWS`?OR#M->OGlwS1kz|9RL+C45%VW+u
z<jsAh@T}8>s|Imijdmunwmvq=8QH}}emy~1Mfgj`o$6jwKPK*;eqCQ!ZEu2i@F_#H
zKqs>qp|4inHdeapBxWe;tyf9m9gN0_l<HP<+QJydB=pyLHzdSjd<qeuMnK{RF35D_
z=;`}^u{e*^(d$D(RUjDDcc!+(Hs@sK8VZkVw8q>q>$BP*a-<gBz?(z%QQWa{WT)-k
zF<Jkmd0z+C#yrxpHMCG9*rGq{o6k=08gUs=-ifWCW;@UxbzP{$u+_V~-!vUv0X|D0
zVU5rxW>jueCwS9)=?_w=iyO+;9L05Z;`_U5XM5S)&@5A@9!PRFErLX#>N@lSjPhnN
zP~m%~{pHX?(Zav<Tq)gl;+dUeGqj%?+^=On<jSvVKxaC*G_Ur3^p8j5QyDvt=}Z1q
z?F@dhnoJ?q8SW@#h^=3>84Ih#R~28w@koqUu#wjUbjs|0VjW_SPHUyvc*(UHe+wGQ
zljXh{g*KyBwllBOQ0ZgR8Vc{<l-BKCGdw4&+5OM4RpyiBY>n*1u}j})J2t~)rXsgs
zqBE?AZnWd6X#g}-B<4bfoxEI|oXvbXwWpd~*bzg+T)<N*W@K8o(p1Rv1-i|kxrwKn
zy*CcWN3^ktV_;x3<#*C7Z?}+2_^eXw&(HdO?^wE9>ZWv}yrZRyn&4vz@0@?m%jl-8
z#f{{gUigTm?qh!3qiH~@<+4%1JxI$?m%5m+{1RLGKoGK7R5Py-JMAyMizpNn&77bO
zv^#F=$7RN%rb)g-uHA*{jS|cPifn;;7mx|6$G<jc3UOJ-xN_ZyieZ>liAu%h#D|I+
zKTW_pIflQkAoyoBq|X<LYeh*o?6z1h&4euBl6aF>%$B22=$~@uRTHp9X?^uP4ud>}
zHTE5z5eLr(1_p-KZh*ROGdYGFw&1geamYN1AOAycTTG$0!$UVRq?=)=T@26X>4x;^
zV0B(^&09>;*BoHaG7Y(}Mij8oUQ}6Fk@K1GsR7;=ZLWu@H&sROm9+#pJ+qN2hbIPE
zD0FF$lj+tT?JRN2KG_)Stt`r{dDAM3_U7ftjm1%p-t}MbLa4NmIOkt4&MG~(Y!3GH
zd^yIdmHgnpaIoCY7tf7g3y9T?*McRQbmjTqC6WFiexh~%pl{eg4M}0@@WMHt?K6yw
zNYA*iu(po0)7fClx5kraNqNds-z9&z@hhw78?NuAyQ$%rM{kxFrWFhHxXd|Lbq<%^
z;%-K~fRlgSg+Rm<bQt)QpRY4SMd?f0pR}b}Yrd2aZyJ<-UNh69M$|Vah*QaS2_xF2
z(OEf?4iS?2cPLQwIcxGEn<Y;AF{=F4u4bpLW7LI4TyIu??ZghC3|?%FF7l<6%IaqO
z;A_rzMT+$ZP2Lhc7uWe&a912T46ad#P@*squG(gyQp8jGj4b$LQdl!<dAS6eG3>)o
zF(-I+rXdXW!e!*S3F|{eNy!g)%ne^Cc7J>@E16QHsX~mwh+e)r@7UisUl0!k`sEfM
zT(R#RnhaKS30=n0Izjbv;K9TV&mzz3ICK)~JHcW+LlM?!66mL_Nfh7ENH&l`^Q2a$
z`l9MiM<xNZ4utbX<VR|kAyjSA_;euf*<?TZ+U=OsFSsh~_8Zu}fLpBwnmT&qjRtI1
z5+^Zp2DWYz7}(p|+B7XN@T_&2!(egU7vN&tzt0msKCkqiYoT%M-Tl>?H%}jRSY|oA
znrA_wUP0G+Zs*m{>2DpX0MB>-cc@k2fI74pxssuv5bUUUi^cZ#cECU~Wuw0Tm!Q3g
z5nsx}>Z)S-lYMv$RrKNR`Dg(~SzaFP(G^ES)(h>A-n>*%0b``S{+8&L1wdJ-WjglP
zE+-*_fpC?9&0lYNtKx4Yu9;(gXpp;q%1KO2)Di?SosO3Xzpg2IUdw=pIzyWm04;;;
zv%)_zwBfQ)>GB^givr7nY~3=M5^1fj;`9=4ESDbx5lZM;;mbr^7zxJ1nud7s%y$qU
zD-`(VE2DYFEFCJDEJiIB{1I!JmErJLAoX?V#tfc8eu&`<41yzpjDJrcyLC9$sgS24
z<1YJM<j5f7{V~KQI2^%L$X6lbFFNFX9FF-T$jT0f{Gp?Z{Pq9$U;5Ih;fP~7L@igM
z)!2i+G%S{zjS&xDLfgq#yDN=VV@sNKM`ym=CT66$w=;hO(4ns`R=eYA?tdKqR?aIZ
z+_{`))Nme>no;ln_Xe!Dap;!}jlJ^XX4q~4VBprlz9X3HQWKu-bm8BRaqYaO3m21-
zX+VD3+x+Q_$H!_XMh3TW2rXSZqFeL0WgQRgfVFNOQ%ym5@=?d~*w~Z(18yfBPc|Kk
zP|4K(%6lcK8=08Y+-~?5;y^(xqpI@Z5zHbqL+^>9(U8QrRg0!_lqc85#-MBcmto4M
zsoECqP8S?b93=Vw{V51M!9F7#Fr*`85wcvPVu&P|M5r8F5sc!T>}+n}VgK(32U`dG
zR#jsizwM|zSK5Tv|L0rfsT7To2m_4&lVjL6HhYZY7nSUN0RD+kT;iNQ*x$0+Y8ZuV
z(ytapY3XfvQ7?y`bH6$q%VG1BI+EiXSbl_x_2?1y8CPKMuxB3id%PMnY7t=J(|46l
z?)%-5;Ly-e2;kREhwq-Y{C<Ch%b3b@3HhW9@=0MZ<uT+5-yxl~-llIiU&z?ib+Lym
z6=%DP6GMN`a^&acg44JN&cK!C^+8AsGy{00RczF;^~)1FR3+!~T&Sqx;Ue|xbL@YQ
zPQ!YH0}d5nouA~4xnpDV8KHzylKVCD4~vw$`NE$^*J<EWjz=eAsXRsDreQApas4|$
zA;rhIH~k>u=UA?}25$FS>8c!JSBZ-po4@)ho2vi#E5;);tPmddtPPsEcOrbZE+S<3
z+06@<fuA_`1~|e1Ue=_AWSc0@bR)^$<d$X79A|cU%Z@YG&VpV<u*~?W_q)h~oevjW
z2`3!VgYw&7QYPsjZ1xer9mBRJx4Hm`2O%dAUL4)p1yZKiJFc#-+dO}PCCOhPVpf||
zzIk;08nWn%hl_@suji&QlxH9S)DKyt`bnf{>tAd62fud~;S(XN&08a89u^IbHKx1;
zU}-lcx3nm5JsWl|!FN;1(*-cLmHtDyNY%!9_(hm6ovpp1jZ1kUE6i+c&3l_<#kEY*
z?@p`Vop0Z&2N)p9HcbCd&4#cGSWUsX!TvK;7-3{Gw8&(l|Duy?Gg$$^s230!N#;2K
zXt!qL`5<-%UX9Ao1585f+e+czS5C|r&$u7O^nEu!cGrjbsN7$PK|kWHn)b(FdjnGU
z<Vhg_iKC|i#ir)M!jF5`%Z@}x&olW4P~D|GXgoP1+3s_Os^9(>@7aI5mL}@g9(4d&
z_y8TSlP8S?SJ-)bC&xgM)n|-?T}%ElxsGvQ8#GeoMH)~4_Q~U(JD=+Rq@oC~w;fy0
z0B-6mM+oy{diJqBI@#A42H?hCIDMsYNqp1~pL(#{dJyt<U-8##x|sQZh^+v<@S!99
zs&Eu^CFDk_X3RnFd!~yKS!;hw<Zr)w^X4e!_xTrroi^5@k3#?;O+zJM(r<Jyx6X~c
zIk_7CIA-eiSE>9S;?W#=<Q#Avo&zv!J=1@6>xKW!8g2RtJQX`{-YC`C0j1k&#KEpd
z{Tvfl!>1?~+J&bF@1qquq+1X6cNKrc>LH9sz)lQTEEoGN4FH`0Q1{JH_#afwr;t6p
zi|ncQl6tHA(Z4*l2NJ{Aftcadu5?PbXa7H!=J&Uer@^(@3OjhDywbGRztu#MCuSTn
z666JaWfq)+>lO|-j}9V-BO}MwF|f=0Y{)M6#<p%}x0)<mg93m@y>rk(GK<0XAjM0}
z7cT~n^;-JxF4r9Z&N9J`+)EcU5O3+bF?@^E*S8GrD_|MGeMC?&Ti5YdAdfaQ9ey`2
z3bwTf+1A_AurdEjOf@0p49NKZT1VdfXQiIPzUi7rfmD};=j%T_LT6ck2_R8nZ+%Ej
z`ZqVnHnpv5VBoLntAX~p_eL8*Ac0a^Z3YC+v|E-7Ap1FfKsDumCPG`cHNh7aHS_L#
z*AGBQhLJ8}hTv5%!_5rq*0TILMhf3d))F;YD1Q9}u!rElwhj_t;dc$F5#yeAqw`Am
zk2s<7OI!rMX3Oc;hy(6KIq!qLt<}lKtz8h#fKR@U{0@TWrYXfp>v8AKJpBG6Y&am&
zTQ1bXceQnQ;Lt*oQ0If;2DDpwP<qE0<k#OTUkO{#q8q!6Z<<YzRrr37uE^;draz!{
zce1R!!Fhq!DU0a!PMTyVUP9;-n%8ce;?ZCaoVh1d{>mmaG$%#@VBrqB^M9XYaGQAb
z15j$M7Df=aMB{D%Qkk4#obI>QCp8VCO(m75TSscr_bqL$8^ya`f~PO<Psi~MnFOEZ
zno<8DC>Es3Njt2H#WXFud4vp?S>8~AnA%5VF8FL(*-~=j^qxD>cq@0iBro_ILZR^M
z*Q?cC5RI*K>1Gg^38>@IKn^oZ4#+qm#^h37{}my{Nciw4{sS~`tpVnAu$^6p-z1=v
zAphx;ziXaV9KBS(z6AbuAc*jKNX(4-MMp(Vtrttd(`};(2e6mTa0#!uetgtzCkN!t
z9Kf&MJH3{-#oD{!4;&5C{$#hu7XBs`#_MvcFoDMXokc(hcoj-wbm2r625niuR!huq
zUzIt0>1t!k0G_8BP-o^|Z|}4X0Ke8;7cX8kHT_i{&>SCw<hV|7gn9-!Zg}jCcpwNL
zgiVB6<&jR#8iL-|OKO1<7cJ0+FZHScqA?OO)zR|1pz@lPo_N09FJDBMZKR9#8&?|Q
z(f%KI5WPuhvb24tOeYVJWa%9JsK(`5GVR#*annHD{zCqKsaZEPNb5aED#0*A|DJ$@
zmq5CC%VPN9D+IPP;m0HBs;z6;AY3r_e2w6D0?VBHc=ZB^HYvnLTG%9e98@XpR)H4U
z-vDx#*+j(_2rTTbwnq5+8oGqdK9qujYy1XK(IT%NsOzsh?#=(z!4I2R3iO$9iva&@
zcFc7%35>p>?5Uy}%kWJpfD8xEX=^fI8uSCmQh!Qr02H5K5<Fggio)-0f<=ZP-#$dQ
zuF1Bp&HO{RGTqub>Aw20V)jWi`wmFWYKOioO4A^O1zG^R5+KC^uC`xxbpl)@xQsxL
z(&zr`;H{d1cNbd#>*lUBkqJztHfc9}#C608=tOU}vDh}u5=YA|8mqqx$OCX<!G&f>
zv<XkHM@co^ixKX%!G$3=tziLB+`P7)B4^IhG#plZRzD)*047f7G)NcmOSxZ~A#9_}
z$|8J|0^n}|in6f3H5K9!Fmw!{;*5X69j+i3K^f}0$Bg>uE}Yh^81vCRKwfOAZi0kV
zS2t81LCToX{ZoZ99e4|EV<+U19*2nr<&Lu9ZxtLrL6r;wy$P>J2$>wCuDQJfTSd1&
zLznK}@UusVpN}tQ-cfOP%m(<t=Jz{1$!>M<URECMylD9L4B1tc^|>n%LEB>pGXiC8
z8_x?wG7%ZQbAafo#%>~<iandOx*NR|ii1UM{cocQj0V?*;!uTyQoXRa7@6FDxbOjQ
zM4;6DP{o6vRJS6w!QCv>Vh-@DFcCVziI>*OTgm}OP3`XTo-=Kb4U72IE)W+p@Ao2P
z(wa0V--*}{B8s~|1D4##maXCP3_5yxSC|lq!(U)jwviCfWDBq>q#%pvU!dXaaGV9m
zUiQ|td_MmII>{zaOMg1t$$FZ@goat+z@>tgmKNKI2q=IL8n?<BatHgZmu|uROuJ`=
zU2nR`B;Dc&!8Upgu2EtP#QPrSH_JBc(~r5PBWtqhK7Y&nM|xdTWXwwQ*3?y(5xLbM
zQV3kMAP{gOFV<dyJwLqX`J?l~mFXVTV)~U8|D*rCgUp)2Gw?3h4WOIf(J}Upo!u7{
zUB&Z4dH00M8uF9Ln}Dgsk)V({@pC*Od=p=C>CkcmaoW0A-sr#d@ka-vo*evv@QK}l
zX1!61EyQMc8BY`e*)T~r`DC@%??g8|(B{7fG94!0@;mQ+?p5o|$HtfbisjG4V3qd!
zO#YL|p=*5zIx7M>*bYYX>k}MuunUMk@q4{QaSu+SSL*2O1*t!-|1He)c$NP6>%mEo
z3{(lH5r3-f$2P(+v=TiHo1~aavB-JlzHPQr@&^3m7p?m{q=@}BxR{eCDfvNPGZ7V|
zCS4@^gPj2}czf$E+UD_Z<|I&29jn$*xo!yeAK!?0!K@b!9dlZ%?Velgq2I4_H7r&3
zS^|Yse!qbgxDvH)j01?Y8w#@I>~O1_G!i%$a|eLA)yCGIm6d;M`E~%<v~JrY(H!A{
z?(PXO>7-kTAMGi8s8=%71y^6qCcp&qVgN84^qsEHF@R^>S_0_I$1Q+X%<i8rM)O#Y
zAz%rhy-QO~Eft`M(Y-GAX>03&Ky+e4g8%3}#4OweYf)tK!-B7S%eDhokDd7B#@gY_
zxiEDP!cfY~6ZKWuhBYGqatD!IxNf8sFx((X%jIpcg;;7JSN(QaHj%ggDVk#nqH|_b
zKhqI^BN*gJ_`r<|_2rE(Uw-ce{w(tJ{w7c*43pg(mk|>qcK86XM#0@3h0oOeo?6|T
zx^ck*q`Gs>cwwT#&J(&Yq%>|b8&p`~=y$l1-{2wcb>u4{W4-RJdz*mnTGO(sxHDf^
zHx;}HcEf3|oq09I;H9c9ju#*f0CQr60yQDUyPx3H%$IxUsX){kM#=mV@;aX#Ry97E
z`jHU8>NGTb%W4m?VBjiDEx3{jyz75|Z>O^Y;}_8zD=mm=)Dp6-00fGBB_F})MqHJ|
zuqE5*RM~{JdO!*W5PP|uPe|bCP;i2W3q>%iz}NBE-3B)qyhs4EVaQ{!sjw0B{Qj)s
z{_LYSEbgzYf2;uu&+Ej{FWe>IM8d>0|0}nYP5{6oK#1afZ0@~1_qY{2`N00;A<rHr
zB<#aFcZi@=K+0{yIbT>>dY)SO;>GIkHBv;Ukfj$GBbMIXy!__dh+%c1Y37gV-Kni`
za7j2Yp10lI``4O4Z&<=%Tn!#=1e3s1IL#dX1$mY|<l+FQ+*+n%o<_1A7>M7>UhJ;{
zE;1M-pC6DB&D!>|0jUQ@{+3CX@)4OejQ<m#{J-D)e<3u~cHq%U3!G5U1icqAnedkt
iwb&&j=JfygC%w4U<L75(UJN6j(YT?jQm%CS{{IDvVI^k(
literal 352594
zcmd?RXH-*d^gS3A6%~O{1Q9_)?^UFVV(3kf(2MkrAT@LaG$2KK2L)-N2^f(QK&sLr
zAiaYS=_M5D^ThY}pYmbWe3|()S-y+=%FVq`+2@>n_BoH?Pc#&-UuC!ofk3V+E5WrP
zkc$r?kPA(u=fU6jk-($Dk1MW92JR5Z?Ki~#&c!TjSwkRqAj<GZIzAbzld6#!qXx34
zcnLgq2vdAG^`%3mA<}kxKKu9zRWdIX>_#Ic*DGGCclu5I;Urh6&chy&(s98kNs3Dh
zJ{Ys=k|fB#d-&>I&=dA6R?<w<lLPCHo|99)<@gMIBWFy<e2rCmMP1$MhT_!U(s?xA
z8B@1n1b+7kMF~bm{4hRWF1+^NB_x=c;vCa|*Uv89X}a*=WjBPx=fA7qo52u@|1JeD
zP|lqD@6rZxUi!bQCbEaYm;bv=IY+wr-xWjz@_#(kN71Bd3xODHZ@&Z`T-jY%Sjgr7
zpKoN@rMwJ!s#j(#;kUOsT4gJ{Tcmm0lkdNWY<_(F|M2AhPlo&dpNCFq(SeoToDcu*
zD$X16Dz!z>NtD5GC6}KF?U^S%{ba{>qK5?8Gs1quKDNh3g!I+m;Go$F__KJw@xW&O
zY;F2<jfMH(``nxbV+S3-@!wq8!`v+&|CEatAWfRR^n?)R;~BHFU9(0)=7#^-(e&BI
z*@hHO_UxD<=x@u~nln^ld6~G|<P^Bhy6mW^C<_0X3&Z7R964=mZ8bGDM%6B~@{iy_
zf8PZCO%6Ip-j6!lPHsFNZ#)@?^{;v1@%VC+I-63Npwr`^<BlL+e*T6`y?URmxw@%c
ze%Rq3McKocv%fJEN3X$*I&Q^uoSjUcnb62rRP*Iq!1~iLc#M?$<N*eQ+1=gEErSv#
z{;s>5?0DmJeZ#adFu>DuSN3#X*2~-5%y%izw0u7m=l>ej@V8AM@MwIx!F!VcX0xOj
zWC%Z9E<bgU{M(txvw_6<@tZXq8#V44DY^rT+WcbR*fGDgzP|3=cr@9!Sb98kuNwJS
ztgJSwcy9<XK3?SO7czC)+pAGNEVXPwv@!A@P9#3~3E7hYS!f?!!)Dk%b|YZm?XK_1
z^RvC@1@XV9|F+*>zkNm*v_&^G789^)*?4x;C_Bko)6j6bTOMTMc!E1S#!a8BdsCc{
zgIPJd^-eYf9L=@81<M<>)kZfk`*6G4rIFYA!R@Br{+Xs-uT{IB<CCM~<5FX<{tclA
z48bx|=ryW0TQ+FJ(<aNb2)(@C#;Sa}V0IdYdH{@dQtI#V0ikh6wGj?CI~p4%|6l`w
z_!LA6B@38MO;1nPdDR51<^6d7yq#ry+_U#;1!be~6FcEAqoFAFcx8hmMST%4*`^Pv
zQ4nU5Zyxz4ji)P(>)0&(0f3wg?64;LsHToCJLvR48YhFRlhO+s1|T{emc0VJSU#(=
z%f#2MT;`KMZ)A^WV*+<_SBA@D6mpjyr>Cb2nE8GPI#FrSjTOIP?#8dKl;OU9kI$%8
z%b;H-dz0v^rT1(W>1zc1XRm=LD9WB4;O;X-nH?mW*;kL#378(wgPjMEJUa?H+W<i7
zt78EeV1r2_x2@=3@5}tCamS<n^yjI*F_3^jCNMQMqbs|6F2-zk+kV4Q$ofDp7Z(>K
z5-HBe9h+91f--=LK!vCcI3mK7P^s%ANT?#bJCg952)QdlBIizth6K#2NA{>n_UJc<
z?7<Jsz!$!5Zf;x8PZys*I9bvZnKsc=zI^#ITvS%}?2u#0s}BBaV}E*+?cbK~Rb^w3
zhW(Nkh_>f4=I(NKn3$%o*(xYy!SdPr1YMH-qcRfZ@8%u&{;l8@AyrE4q)Kr&UKQ;2
zeAXyM*mpwx9n$D!V)TNL4|J3Gz-oPWmwS83p?v)Oy*Qj1u!iT)H+akrIxj!ie3^Za
znq4Esi*twhw(PqPNE|Hrs^aR-rU1?{j>Al|*TMRJixl$n^E(<Y7i&!_5ze~}6^bQ=
zI#1VYZS>Neocv9^;w3)^UGg1R;Y~XpI(d_&AS7P_Gc`7@-xo0kqX_O8aaw)Jk%J2a
zQ~TS>k#Zn4eb5W6sO>G?o0i$^)1~ad{krJ@qF(_{O4eIZK?@FlJ~CkE>r#(LmTPXn
zX<nP-nM!q6VkfUdny76>86@!jFSz`!AX7aJthXyWyU?7S+?kQSM}v-!eOI}0`v`1N
z@{rQ>K@A^V$8o#=N~4HuV|{&Xt?%D`B4k`yZCIMjYF;d;njKO>1J)ePjz+UjMwi+I
z$%yzlJ1jr*P0P<dn!vA<uX{-DbjlqbsR?LYuAh2--2R+#;sSOZ0%6L@;RHA-)mKm8
zFRo;ua26JwkF6S_ipQtI^t4Ln^n!#AdfP3UYsy?aPYSZPG)syT<ClLKVEkc*5<<h7
zL15A+ubIF9!*G(#d;l)!6dz>hI6O2o1?+u#|0mHL%KaC3z;b!7o7T9_o`*U+Inl_w
znK9S#=#^3SiQuFOe^f6)f`=)gcRNRmFUfGf7@jUb-?5-;Ll1t?eIp~V!Tf}eJabnG
zg-Uh&vYp84?oP|KCtZrs?j+PdEznRuiu?C|39ukB9hR`#pbM-}s01EmH+E>ZTo80v
z&?3kiF*iPax+ictCom=TcN+NK@IQ2cvvf@M7~m9r8#eSl8Y7-0rS+`*p2)mh8GdUQ
ziy1)I73Oj}c=taNpt&X9!CFESOQLp-Lu1GRqfzj*c#t9L(jFH0)Fx^>v811x`0na2
zUmDI%Ho&a!H*8(^wH^vU_u2XXdCUyU5ePcy+K;aHKiIBr*yV#Aj&wZOE4&6~eI%N$
zPA+#}xqE%FcqyRMu&R2YKQ!TLi>vvGQ?KvGlMh#4cj6L;Wddw~^^MwQo0yuqh@~rS
z00eAWrA0x`UV=EavorwTactak^w#ULHQ1}c1+1@_ok>DZ7J<ED=g)p?p2E3yfiFHO
z2e>H3z&!|yJuyMY^Fw140e>EQd-nlD{h+17m1k_AgqW(!QbC1&U%Y9g+Nwn(L+BR4
zop$50eD}^uGW-@>MR1vCK|zavBo%06N>=t09dz`YQGGe!Hf4`nWc~lPFb6K>B?kf|
z1O^5+3@lC5Bi(&<jyhydw>16dsQ06THvFcKyo2_=vk$s$PiH7jXWp6}&mA8h1AC1W
zvc+Yc9Dx{;TXPu_%#kj{PWnnGRR0Rr=2BK-f9rt#fgo8fr=;6lD>M=KUWluIPdk}3
z6a=LWV0|ak(?{6pqoVA?B5B<7iLZT29)SlSUKg94EbBEMB1(4y=7aFwfq0|o!yy1p
zb7&2cusEP8dol`)8w_h|dwV<f7X@T9G@WVohhf!T!k&JS-q|M$-QNde`*b&MMArhI
z4GFe%5VM&n(8!WL$P);#_syCZ-}*)oxJjfLEPP;GQ~7sD9WY~`biH?9r$;K&Xd1<9
z-2XhB_R*8EgFqlC8gYQ9G*#SFCDK!yv9U43IMxtRYbaXf=?yr%n>%uF?u9dQ4a79N
zCq$0AX+xyEGw*o$_^w|H`O%xyigECnNz9{kqeL5G-R6n_Ap)QOVGe)gg2CcF&Pk9A
zI`yZK2fh!RKAh<e|D|tm?bS0tC5j5Nns=m#Logz;=HQlGjH#KKnSsI0@^U)BbF^qM
z<IdCjF}0$^$<C7#N691%RgU{Oy+J2GdlZN@%}!6RyPu<|MI+w_)g=YD3BLU|M01sa
zoi;i%#wdkRA5pCKbKIZ<CZ0pHtfYj|*%{mh5xM^FX=z(N$He8DS-f{+7X1tl_si|O
z<J_BQy_8{OWF)oBKtz@eEs@?!Gs3o;uL&?t)aP&O#JpkM>%9>8tn_BAlij3C^~&yH
zY!VR(g2n&dKPxUS{=G7?OYXX#$8*^Ov`$Dsu1+>GDCpw9Okn04kykf8eu5Z`x^+J;
zgh{c2H}f6(qclQZ0S1Q;6~d@<W?g-LB@&%VH#af+_^S+-yenB?qoIBl{{5QL(eKNW
z=o(?Y5GDy#xD_`QSJ!so+l%1#6a+Ev*rdK0(*d}_K1WF4Jtmc`@S+5KEdFWfqerZ3
zWlXEnsc&req>rbF)AM=g!velY(JQfkOu$i?HE`Km?0w1OZZmY#9lqsjE?+IlILxLg
zkuEO#3m&B~UkE(q|Nfd8m#O;H{Gu+Au~8kE1{c&EKfwwm2s_54yEC>sMP8e;DaL|$
z@r#X^N_BI4{sM1mBC88H@){k_-3o54Af*-(K{9c%$*;3pn#UOq^zePwc;LDHTlw>Q
zBIJCYrMv{txSU{ZfIz_I5X$h@R#p|RyHqw>uzZ*<&85;rKvyv$w!Ms=KfwJE5wd?9
z`@|qgT4v)U@#%CbN;y<NfeJRn<Tz=E!vf~$ES9clzyt1WT5X~71@Cb6uI;=G-70Q;
zk^+ylgVDA{8~|*}`4R{4_lNl<BJQ5hzkWpdw^RbHV)R?vig$hRO)kSQ!y~NQ_U|9L
z#s8@C*2|k<qkJA}(cDW{r|JlNPnTRY^-l1HERF0(FFn5Uu(v#pj*jN^OrCkfk;Yu;
zCW0UY0IiGQf3$dgQS5STF*p0&Qf2${d&6s9*?#La|6@x+FNtX<McJT3rZiHU3llJ(
zHl4--HNO#SQ!ws;$?{v5$ouq*n8nV_{<Ed*@6F9}Skvd#<MUf1^eiwfnjRcZfS30U
zF<L;R;r}oaA2I)z=(nv(t!;jLfxiz{Joj()7)p1wlEME&Hb<ISiLeHr|GU)IkLVJf
z+_dZ$_3X7Tb;K}y=^?(NUY+;~SEbI%`hcT7AL$#hOSCrYUUfV?Jg6<=^JH%jt%~tA
zZ&#T~-Ist}Hei4>_|Qb3h76f()*m4Mm7!>iBi=c6b&BsCq=|(CR_!u5R{P>d9+&l%
zaI1N(2`4CFjoDf<x<$~~%uIG!_+K2jM>H3o->+NDldQ$MD%X-}V_{pU&b}t-fY0yp
zjEU)K;9|ma{uJ^M%|*Q7XBcsRYgm=Pl-DQh1D>4?kLRRPpNk*p)onSo622LwplHGl
zZf&Y~P27bT<1Boy#24LomN-9VZPrem_{`F8&s=pDh;Q#E`S0y$Gz_*o_9u{zM+{*=
z(>8m9_%1=qf6gIxz%U)nD(gT0=H%z|9wEa2^_Pxf>7~?~%B31(EU@jzboW0FB^0uo
zN98btx4QZNvL<>2M#n#L{{~Vw8J$yT=gpHxTZN)jMj#~1V(}|?HkE+W*GeYtn`_B`
z=&dm<9a{208QjBjJF3Sfw!BnVKs4g}mG3bqxD$G82!&lF;BN7uf8!G@DJco<(Y?p;
z-OA}r0N0Bm6=e>a=jo+4pF1-#GBSEbfm<OR4F7GPG_LC8HkWX6fgEdZEH#v)SNHN!
zZ(2`}x@GtO48i{{5$5J2lau!n-Etec+?A=5quDgubl|M{!b?`-jO%M_w>?w;J(MnO
zgt*gsG;OD+4I&Da;lFRH*Nucz^3V>C5c0mO8<^I-unr7-K>8}TjF_&^h&PiFee;W>
zqoV`YJG~K}13MZTN}(BvPOx683ZA!a&(GSUZVhx0_h#n7Kh%F`Q-<}%kt$YD#*+4B
zCh+%$S1`)MTYqm$GlQM}&oQ`#{kPKwNvphmS!wCExPsx{iWP-;>Fic6$9)%L^|;@K
z%m3D__tRw}ekAe|bR*DlEkDhqoR5z9)8Ao!AJq<Ot(Bn%Yq&!=U%;&mm^`unCJFr)
zPF`ryaFxm!CCZoO=;H*I^q4GcB49%7n-^kgGE9lX4IX|J3|yaL*}#%o)`RLqeA}XW
zI{Qaya(@f?cGOS_hHm)6^wZxcPO_H&eKDB+L0>Xcqg0oWBW~&!Av2v=v$j7`sHsw<
zpgL@%McHbhs{MAwc6@D5YnbRSTp9mEh=dJ@y&O3|tSXBz_l68q=Z?J;p%>?1FD@<}
z6yVfzPyg5L|Lx|c^u|Pu`$=Hqq|3(oI=iyA2Gxx%130TC=4;>=;HAXf=KjaN^8aCK
z(*q2upsJzaL8_WB)-;Z_oxao)q#|B*rMlN{uM*c~itHbvUV>kj569FJWtU)sSL{T;
zMEv}pMYR8yRjC<$N<h|^xxrgz{%%Ltf}g=0h6YIhR4ucg(A+S<g+caeZvMzI;8z~l
zo2IQ-M0~i4=J%cKt&Q9Jwh+D#XrSUk-_A9E`}Xbd(3i18(S!v&hmnPdIY`Vq)NiC|
z5}OF1DkSHiwDJ`-H4=>EZ(7U|*Zs}HM+85wdCi6@wlMEf$Dp#1i#NMlfD>&p`R~i2
zs2yJ{_$-b6Edqw@fca8g-7&8^cQtP>JxYbEoYNuX1ApgYzs1nn;zSG@JvKgWWMClC
zY($)h<v+?X6YF!ZkbHC!DBM8vdWa%JT!sDHdfAJzN1|8G_c+Oz+)KaQtzBGfRi9z)
z@v~f@8(*qhgFWdNB!dz~&KZ89R||ggJSeDfdc$_9ZDC<zKa+HyT#j7}t@*he(c3-r
zx7|ZA_v>hF=?KP9>hj4`<oeBAX&l#DXC)2P=D~6ucucV6zwk11mpT^A#>(FwnYSsU
z2oL#?jnAs6bE{X3b4cV`C?Qm>>Lj(v@wl&z!}-bD6Ad`8t|7^bZiCsZhqx2R!&I5W
ziAG<2jQ2}Il`JUF=~<UEO+Qmf2^$rP$6N1?(dI?)I?~9i!435g_e7I2EgeS*(rS(W
z$C6Tves;_p@;V%@-^_fsu^;}lGz^7OR)X5=ifwv_SBg3V-#{H}p+aSb0t+5HNsMTW
zvid}?yZMgm-iiNl@9&zT5uFfDM#lwshWkr*J{$8Ju)9OBv6P3QJWmN&FM~AceZx}x
z4LZ7*O@8q8nXg21hWLDM7G%xIc>)tPIWGW%vwkeS;-mqO&a?1>k5y3hS<}WS=88IA
zMYc{jnTmTZ|JwNpRvr?}_1^|`6Y3RmV_CUVNqQ8DWI84U#k3QPUfk7Fu?{D5?D`#Q
zSz*D	@2<4AW=Vjl-3fl__X>{MrXg2I;s4%&V!wGEzCNl|B~}ox>Rc^AJv#C@wCJ
z|524Y%jPH%O;*L<c`;9=@+Kn8Lj7YV3ryDgTAR34Z%7z5zBkjz#AMJ=cETdVy}V=@
zOeOdxF&?@`isN0T8zwjQ3wX*3=EO~njEaX>6!q!rpSm%YmzPi1=DlvAi)+1~wC&%9
zpy}^2L>NlJgvGcguH>LP;}WNrJQf!hnRI=<d)GELC@zIa<HD63Cmk?g<%BB0f(zCW
zJxKI5$F;#?y(-?i1`+n#l#b?Yy>Y6QyhdhbikjP_{Z3*6#$P`*%E~gu42VvSjdc#N
zMI_A0jjDWir%4s9v@WU)`4rGhsITNTJClaR<=Z0=-Hh^m9w8^U&}fG-h#8mXe0x+S
zZ~X7Lp=REp!r6D1LTrJAu!zSq&pH!<!xBQAtg(}`GuFq_D1(hQP6Yls9F_2A^Ux({
zw>|6{oiv4PwQV>a2`CQuz^x)j8y@gqdbw?3a~D?GzQDrWFZf5z@?d3OWp!f%cufY&
zb<^;9A5TxPSrbxDg7mBF>lz&6@>W2YsqQNr=zOt&j7GtIgty-0(%rw$M*7O8>cDP;
z5o{*Yxq2uGMEpji5YYCly3Cj8KB{cXj}&mv<(Rm`EFvYu#q|vhC6`rZ&++l{?zot8
zuq4>#-K-!DC!9zKq&*j9NFCZyIXbL!nXJ7>PsaWuPw;cY2E33L%R0;31#;@aC6D|T
zvHSP^fUh>*mcb*-II*z(fW~sqN53*o%WRVra(|8OlJh$|%m4FHRiuD8&ghR!Pva^}
z%zTc#$|%+0Y9%@)qqQC*;S24(pGKWvO}H|zI_!(})Q}audfsp+PM8YU^u7$PSpVkS
zzf5&<3s6=;`ro5(RaH|r>h$>OezdMI*L$oP-kU@SF~xw<q&0l~`tHpKwj3;WgyMCS
zZ#f#hl`^)rH%ad0=5&5~0clFpX2jb@gy;N~|23v*rkW7+g9^EwWncT!-Iv4tqu-35
zOx8s+*z`_J7?%%^Tjm#<vJ|vJV<~A%t}gJ&1h|0wbp080baGO?Jvk|v;MXq|)p06*
zg}WvG#7H>~uBC&Z{n6X0!bIXF*{<Kls+FLdcOzCBw{c?pO!8j}^6UmNQZio4?fWiy
zpC7>`_YoBiN3q^XmqdgyDKBLlZE2Epj4TZl6x?0{`j<7-2KWy{-@^%zhSyCtNL6x1
zpwX|I4o@@n`Q<L3aH@M6>|l~#e?a*mg|B2pMP_yhZ@2{0-L<e_$9Wrw{XD$Kw-Oo}
zzAm!}@By*8NVN98bbk9XUalKduotZGl29Fcrx}TP6v}^Ec1~`VV;(sLST+SY`SLE1
z>0on5fw_J9`ueE(zf-XTgEs;<9lABxAEh}sdaYm_$9N)(sKXk})Z@M+EUc9x9SJoO
zS}OKy@R6E_MRBP0qlpd%9ARVH30N#dgy`p)f^z%pq?wYfC1k=JU0l|`-VU2w*=;xY
zQ9>)B-Y(7tSGht>UEHa^kZ!X&>1=qZ>TN2hU<9o`avAX2*>>1j-1=VL8Hn{#_p2GQ
zAQO_xk&b?9kxo}xH~gKD?08R>tRC&4*<WK5u-{O?r<#dJKPCJNRyIU_CEW`W56>0d
zwESVOxH>vqnJ9j7k*Jg$veZSZln-0Fsc{eKqG-aQ3!y2kEVmqt1`zZ^z!3pyMVwWO
zM#x>u0cw$7sWTKi6y9H>-D|)n2Op|Y32lB>z=@CgP)U;`v)DiS6fp>^=(a4~-H{*|
zGw<Xo5SoE@vvsgY#9uYBmdIp;K$u{Ccl)~n3eMAcmHt8VjxN&Ozoe<oZjh8I8+0n(
zN{^rT_U+LE=g=3It_g*gFAOI>3quVy-Sd3R&1YQ%+<aE;OK(NB`*hE{{d7nisuWTv
z&S;guqq%SNMTlgr+v_E2zfMKz7yU9Y*B#>Lh>zCpk~6+pj!qCl_kI2J>C?|OFNy=N
ze5o^z_;8Fa7ovO^$Q5pXr@<Hnjeu{RslZfKxi2j=5SH7sRjW!k`?U<Av2%8D9Gdv*
zQVbrKy<g9As{FOF(Tt|8@M;OCjl;p<cM{eJ0}GRTSYd6Knh&nQ6Y(~lo}R);7tvZf
zvRfiT>^co7&Zlj?NHtpbrPc~67+a3g_wXTZbMDdsR&__oBq<fo&*YeV&WNPs<PGOU
zZ}DyE>5-A|mAuOQ>gA#gbg%A!@TY?{mHll|D7kj}~glrvj@^clZ0I|30U%pyrS
z6m19hwG^aZFfv?m$M@b|>)xB1n$kcYA$*=KtC|}QAeu&Z?%Fu`<&_&#ex~%y64jz9
z{TG$m=eJmEw38kvcMLqvOVCa%=;%elKaS83!^|zXA};3RGX{F)6PJ9mm=#%YM#iS5
zAbWjY1%g&&$2@Nryp>Q7+;O~93XX6L%3Qg9@}(v;ogV#IPJZ@q5K{sIu%k{7Hse9;
zkhUkT@>T-A1|?2=!x~h7Ijb}}TGe2y=m;hK@48Y_QgDyYj!PWzSE^LlZhTnFx#>9Y
zQ~o_;xQ+(bV`o{47D~Q9*$;vC0;D)lVUsSd-3X5#89DI%s%(rR<+=L;mSM}I0b7)F
zbfbFfV|dNowD_rQ*`M3S65^<-#jDXkO9E;uZ&$<|19Z><4@#RDLk^7$pI{6(?8VAZ
z>FlOFtWv>16>)FpL<}l4;Iq@;CEy22m`ziZL?9C#DU;@qA&g2}UMsS{6DcHAr7woG
zzYR6W<L(&V-$wh^a7Ney;#zq4;w_4jnnzR1TAe#1ZEWYl#Ty+BOQ91EnCOpU;xFve
z6trkw8(?)O>j$}1ixWc91|X3CdI1uma`<vyp-PKv+bXL(p=(FVb)Id6PU&(k+J%EF
zZf=a}oSzX0b@q6L+^wN<3>F)((3yy?|M07c;0}A5nCn4BaoIcxiwAkhhG>f>d;AY8
z?Hh(mS-RHr8qH0T!vYbto-e<;WZ_$8DLaVr&p(M`(<hDnx_mGF<L=go)`}mh^JGYk
zkqB0?5x(XevsH~f#oRu3oQ(J19xRHJ^t@T#Dp{=V?-EOxq8j|SpXAS9Wf%X*p0#p!
z2`lsWU`!}S7V<p&Y=yeGy69+<VG*d3xAM}Onsav3gcnfxj|ti^L;JfqoR#g`S@`F-
zXFz!<Pc^yI;&D-icv&ZE)IRg#w=AJzKfh^Uqd?mBRcr(E2nk6yyxqF>UQ4!+dwT34
z*Ra#xc1}{>ua&LiV`*R(kf!laz)fNbI3qp}IdP~#q13T2tnE$Y8{B^Vym*DJJ^kx@
z&I{TG&r?hr{1282vL76qy7fvx@lO%qRC}~iu)9#$_ILQ0Z<aS}HgA(#Q+HJR#Sdq9
zb99S${HyE6`L6P-bIC=NYNz7$%s<g}NU`c9RcOC-|3G=U;V#TZIZkzmzj61PNrS&c
z*B1<Xo@%KI%+_Qk@_Bb9Gvf&NpIu+TF*od}9w<}cImtw(yU58k4CyA^%`{LbowR(4
zO>4kUeS|@{Y?==z#(+{xyito#n?`5`n*|HE4x*zgLHDwJ3u(oZa`cf-DppIYUOZJz
zS5FUU@EMYdxv`ipP^AuC#1a>t7b(}>%7kz(C&d7j+Wf*XwPS5nE^k7VGXlZtV((_G
z>n7}FpN~f8r><=A<x!MeDIuh?Sjgh&{2M3jtbi2eAj)6wxtXQLjy2U>(PCU1UNKTZ
zz*%!5EFSbEbylt{p?SMR)u;PhqAPi6nK|>_Djl4cmKyN1Fem3{PODB`W1rFJ>{T8h
z4s4PD${*Y@)Zeci$6A0_$Y;p2ilk!u_0w9N*03m$7O%@wl<`EnvJd@feeuzt=5to%
z%G%o6PoG>#<@bEC;~^3CzVEvhKGCP&DN?Z+T9ph$JZ)2X+Bo3ZwJB~d%Fr#%D1p~5
zEk-j?#%|ySSB#67uqSDx97|WG9XS)ZZcE<M*V{kQsL~4iK>I;?xlIV`S+x)P4DiPE
ztWoWybtjCeCNygmX!ajP^{B+MDf^KjLy<QIWr+-LzWq!wG_8M;^6H%uTR&&l_PGXL
zU@@BPAPw<x;>ybkJhXRoMoco<&YKsNSd_MkV{DgOxUGt4;@!GcjI?PF<g_J_ZkB?n
zY7sd=3uw*d7gm32;XJpHKW3|UU_W(TDU{|dWwqR-lNe?wrj|_nO9`eu1&xkTu*W{Q
z^0*7$&ZL9TN#eLLjXb?*qcM>1CrOv;H6O0PCf80>1v)52TDss>cbnv!QN2nWtBUib
zZ|9)YKd=;G-|h^nA_l(<H4LzOVGMg}f{`WPX{{Ao9c22r>H720B5#$#iMjjc-aovl
zIi7&pl22B3U7hOXme{Q$gfwSJGg3`~`lh*dgSJLIU#U&pXV(iWbk>GRdhx6h0f##*
zCK?+V)HYgK;Yo>^qQBtbcVTz=Or1<<Nyg|2f35~wy7>7?b(Q^cXr1`+qL)y%7wJA`
zSdNx-tKZDpukYAD$;`|wEwxE<zB+1X3?)3HT&Q_|+q3Qr7jwdi=2b2ItexkcHMFl;
z<tX4e2i0Qi*eLuf9*wDfg18xLC*VBv+(8Dsk*Z)|HQ~uSJTl38V<#0@P?j2C;+rX!
zi$Dzj<$yugW?V0ImxH}j?A5XkPhiha>O^r0)fQzA1hV(2t={1~yzd<)1kyS`4~}lG
zJpE85)F|@$Hp5<)BGy0Kbg7U+^Nyo)<Fp=cv7@~Kdh2TzT^dTJ$L%-jZRG?*RBuUX
zsm$)Lr*GfBO;0D-r!6A0c1+1%vB4aw$DiX#LESYqoKraQX{T_VAG7BWofgJ$t+Zgv
ztbEdiCokig%=3}L=_eVT9$wk^L=^jyJg-9m3+2$v@>j%>f!(ocPM3rD919UX`+0es
z)J|&LUWv4HEOARh8A)angsFb8+P$#myraves4K)1fUMd$x}S|)OjXn|!kTh0aHmTJ
zoRP7<Wl49Oltf=xp8cL@&kfUZN@XK+rZ<E_wYpn*hqi~j0)$i5E_b;3&$Wg-4wng4
zZ6va$m-t9e)drdXDhTLeQG#z3UBtXkp+A(5G5Mln`IAn;cyVjBC%X6Y3~hTekOjMb
zS#+<>laLMfwK_L>HY7t6P}?4q9rGTQsrfPf<v_)1nkTa1EShWAuE}fByLYW?aHECy
zA}eEWsJ~X)Q@8Bx3edc643~q8DHC)*8g#FXS9et!o0zP5)%jO{8-5HrdvLrlW$Sxv
zdtn<Vsl419nI>hj5p-b&LX$Edc8dwK-QE7SF}2#!W;Y+h<+Y6Kyqv}T??!ZYsw^D!
zUZJaDisGk|!DoO}IjD-x0b}Ur$JB@Z{`$#pv|i%^8qLzb>QzVKm1K@JWxk#`q>(}8
zyGu=ycOFNG#K3<~IC30kN{Nfp$8=a52)onBgJDg&$Tk%dc@421IHUZn8|)j|tEQS{
za)ngdUhWsG)<d`S(DV2T%`lRpT}+oWqBT(BdrK#>MSHK`REwr%)-@pDgfCx+`C;+k
zvWKK?c-h*zz6pl_jm4KdF={Gm`D<^2_+=QG2TsF!8@4#aVJfCzYSquDnaIuT?iK46
zr<iK7nohP=j84`m?M%3e`&ZG|fBov?x*2qM!i>x!IW0shz|`Qd%ubKA9$RJ~s0w(|
zt|aUw^REndxLm7B#ZWC;8lUivDW(Ht&^<O)gANPG!2gi|`ZHa8)k407`C<bPckG=w
z&H*`)F%WvbDc;)NzG%<^@Oe*hMi(ZlFle^=IQ8^E&9%$@+GU^ew?l-zPuJ?%qfxAT
zHDhTRz3$Wd%!eObKq%i1$VO_y%hpyk1+olW)Vu|9FP_BnMqAqSUeo;Ob0Qfjy^ku?
zEr!Ml*+?@v^7YubO$+9IoaFb#s-6U{^qdDR90i)$H)8w#SR~!Un6gq?N<+)X1H7!Q
z7hZBSfts+Gm{??ZG52;rF-9=l-S{_mk0i3e$>}H1Wp17GpQd>Ap0ms`^Yx<~9p%=c
zFlBAl`JWQr>k|^ZO2p~iB+_fQ98TZix~aj9{XtcMHS+#ubjZZ58XM)i;e;ZGOQ|+D
zb<Ee#bI@>dD>+-6BCgB3@Cyhudh(P@;{Z$AaV_DD0AiU@Bs2M&lR()nVH>Yr8Fz~^
z)A9~CK>wKR_x)0?G;DybqOBCg+)sm@8$D(1h2I42MEN}=Z^JqX8K|7^hK~6>{fXM%
z_~P83u}_k$pKlrdM|;P|d;08HVQ^8ChK9<@?IGLmjTm3-)RM>Ez7(vC)61-;+uk=v
zSV)WEV#}TSUbr=_Ci|o)Uk)c>XKks{7Ydy<%-~SwP>wS#um1FDv#AY)vu;UZIHMAB
zuO1H|w$7X!?!K)ihgqler>MrLnBiZ>#a{PTGeQ|e3dWO@T~4KGPq=mK7U&HKXeq!9
z0Yw-HxW(i1ONk;~QKhA&F4c9Q)VVR{hc}L61*NLaN~ihvIuYTt;Vd}>N8$VT-|Ub-
z1+-gfz(d^sLy1nV=|O|IBC;&LwR|u;Gdmk_KEOZty83m(zxGWA6(>Z@i<3RJG50*v
zB@AC{ah0SnqX~28Cu@0A39)i^?lF{Nz&<ILH`GM2cI9^dqNT|7ks{-Y=7CWaeDQXG
z<;^*Rj6{8SJYJl?D{DjZb;x_uau#AOCY~rzWElgG4Dt!B&lMFFLY>+LEMC@#G%T!>
zO&m%VAPkpVMM!FV)Ybkh^gXTT+pP!bsEMy`^Fd{6q>gl-<uAfL4&FaOywLrKM%VGR
z?(OXXvFLKhx1sM0eW~!(VTWDcKRgJw<mWLZSS09XwHFNGFs38{YllS+@I>TzyDqKo
z+7L#=!om_06PL_@G9AaNhMd_q5Q2usqb=}@B^WIoy1Uc+)4e<z98=75e4v7WMx!{D
z`Gs)EvE8H20Tx+$K^{jF$t?^%VLLT*PeH}H*S@yuLYBTVy<v`Y*V;2dN@z(AsG)EW
zYmL%<`AdbPPA*PPPOIwrN3=Ei<H5olI{G$w=e-&-d6#)}QK%@P=k#~MWZ2`w3xC3|
zwR*FU%PaOe8c$A2spf`+gt%1u0UrVOI_e}L<7T?6R5=%wrmeie7sFEVENWWg@g@1b
z#ayX6avN0|d5}NRlfRjFt44F%M9=#G31t1?m2w=}o5z-y;O_CF9yur_o|U6`G$XZ^
zff%Z=&yI1B53tsI3{hAtD4A-+wT@+Nto=Pz;!=eVaT!%A^<42Y7M5_t)}6~jp?*+g
zDCyF)fdVDjCFMAAyfn^Hlws0^jz<@W%~yy8<A<uMs#$pXzM*G=oCCt~pUe&)8;Rs3
zXh&H0c8w=sux>3Jc?p=k2A2_7|H^LJ8ta!YzW1@yA3k4~8us#9***1$Iw@`Fi4@4$
z>r{AjF5b?vq!|9XVZ+Zfs!IzzSZjvF=j#ezwD$Pq<n1Va$GnW<2yJNi*QOc<x5q^b
zcjyI?nd?;)UgQ&+g=qA*XYcZhFhlz%F4a;@F__)}*|+mj#V7LL(?0QvK&h^TXOhMX
zZWZ4&<@%y~GyZJmvaHg849o(Sm$}h(dU}wUNSiTC<e=w?QaCKfrFz_@TEMj4$5KEw
zYPee6LN_A(JCr$v0eT?Hj=S_|^Dycgkx{}gmdkXVkoVoKNM`+ECpsq1S^ZXFoJYx+
z|D4dZiVqL3sH;#%cVue3sZaS1^i~LkY!Zs>O-tpDG`2iJi2Y7)0>89o2|?K-E`#*d
zVP|LOtmac7-#&MC4p)jZ_RSl^NH@;fx9x|z+iV}pp%A+IM(+H&DyAYAG!v}VEth){
z$Uv^msD9lHs=i)NKWrB)C!u+dSf^Vh3WO6MFo1NsD+hk;j5x2V24|hC=!$}wK}UVD
zr-!=)kaNR!^KUnXCK6?b?n3Rs1n$yLg3~ffwNyCoe9o)BY+sK@k}M%WZUzmFMfl69
zMHYFLcSf!qKPZ0HDo{*bCA8OVCu(SHEZyA<kp1P$7xsA7C|}IiX9;m=ZP4TbqlQhV
z)S@f`che^bSEo1dZ4ODLgDZ8d<ymj^lH7t^J5y{JCs(`I<h8_PG#fY_;={EZ%zrj6
zBTWkizE!*hY|V$*oBp*$LJyJ1+}^NjS=o6*POZCJj`iiDiVh3;l<Q4G=E%%yx{Soz
zsv$`{cVBB~1Pq$(r0l)@`V$olpW&_{_4wnIO;-iS&q=YRN0bxQ$+K5JCUAFY!;|HE
z!ktB3!cLV!Luq1*4vxCndz!a=kiw~qhPJJhyw%m!9Pz5EZ&Np>4}!jRn_Fe_l>CU?
z;)qXFnBSWWYUX_;*!ecz8iTG3_L*CHg(~LmeOoKE##t{j94Ha7eku?znBfyRy1~P7
z4M<9$UG@WL34z2EbDRWFfC}6|Rk;i?8<)g!m4}9=gy#owZeuz7pZl<X!6O?ss?tBD
z443EVm9YwG=`hE14AdMMAEP3Y^j7sSM_r%T#?^}0YkxMHA`k;1hbX&Ra#-~If6d&v
z{A+dz)-@FsS~OuwJ@gidwo6>Mb{sG!`BImQc*>feiKf>7+7MtIyFd6$kUqxDNvx}G
zDbw^oARj{#_*~i)_ZEqNWmsR1O;AE0_|!Ei4f4M4OZE094lE(f@d-nI=Hg`MZ6hm_
z<WrOrsBrh)L_4<+`u-Sdl`!^Bf^>nA7T8g+RKDt;AE`FE0ELotv2MChx8g-=t=|aH
zT78|PJrx-kc&dglnUww1m-DmOan&G$|Ijw+7Rcv8JJ(BL-UOA2&B`12#KPF{P^EZF
zn5Nc~T^#=~9UYyU?hqD@t_6*4rAF0WR8aHBhV}yFpBI0tB>@QswCr%K@g!M~f^NG@
zA<PGXDjqZTiXe|fR@gb^_I=GCG3bz^A;}jOoqX>m-Y?3QBQCsex+8rT>eym90KMK{
zVw9wXz#fL{8}RWA0&Ol$jUUwOsHiwfXyScT5Xf0*towpTz4jvmsMeBG_Sd&28~~>y
zM4b8{iU;S$A3Mhxmfn=tLLe|{EU;3~?}>UE%e#l^&Xp#{#-MM^$=kD*EpVVHSSf)A
zk(gl+VN|MHJ?<>Z;2`Mq(?_l6rK9IB*QxZ+9!Yf%-xe*Q*9U6y4s5Ezlg9Qz?^zg~
z>Bz`>6pswL`4O#Pysi$#FJr8i^L>tGc`eYc9P}%Zi3vZ^lYakA3tigvr{%Y;M$bL{
zfYqtU{J7Hoxzd9#Laa?FegoM_pQRDZY>3>c&8O_9Qs7tih#fZAO}-J5gX-t~q6;P|
z*}vDFYAco5yYAu+vYE3)?M`|T`s42sU%vbrBMJPm3LmL$9{X8S>shipF7pSpDm?Qd
z`ki_Qd;6u;XRg+c?^8w{3k6wW&_1z&wwYBGcO>$l=af%G_GD+^5hZYi#p5AMS}(x1
z!-3#*JT}Gv&6M<X5Kf&~=3uG`U6xt?Qt$S5n?LH_sKR#;e=b{0b{P6?&9&VczhH@c
zHaCgB+sZpowI8X}yLO1ljK!~c)J<~OQUwaqCs^N<w{a;`qH6p;s;s14*$D~_xxZ_8
zH$uM!qx9|bEG#6u1J4cMYD&yEFgF_}xw~>?eiYu&GaNXs&*Gqp-5OzzX|Y)u1r*{A
zX<AP{#>@9l03`|Ns5%KbV=Mj4eZDb;-_;zJS6a{`zLc<FQBdU(dYM?wWh5t}UoXtu
zXZaUbPE_%D0Cz{u1*nByWl9xK4`^bn)*v-pDai8W?yAho(=tfvW_)d4JXq_;Fwx)N
zZzpOo#h?~v9(zUT$`$wDTE#c``1oXwR;yHsj<UXRMgXQDsvaejg$E~mT&i!8e9JxL
zu78Zo((G~vJyJk@2kZDa<J#oZ6v#iqK1^J^U__@27nSkT46WfD6fdr3u~bXT*VLE~
zW>t>+-QVml51Juq<)ymXhc1p0XzPA5-&jbia93G)Bxq|=-1l|!_1Z0_SU`vEjFkq?
zuD1+(c#)kScfl|1`KM`=5LzCh3QIndVhnLv4+0L?@9$;u@xehi_}$|8e1@Vw)_DCQ
zKd~Y~1R|t{v_&v_{&C$Sp!%{9Da0m&ySuwNy%@u|a-3Q+qeus+>6Vn#_Z(owqo;Y5
z1PP$+A9NcnF4|P{`psvA<BhcF#gdYeG&01u4tE;r>gqsg!PC!wqpga^54a7*z-0^y
z)H%UtN^h!W@B}RN8_fFvZ*OnQXSb1ZI-N3v8nvX;puP3^t|&`o`T)31lKi)OW4E-`
zSyXD>Mcr+BkIz<~3vFa>OxDD4#;Omnj(^K_N<&q1qUB?0<ipF@7N38+_!CkYyv&{>
ztoHC(ru%DF2)*T07tbl%=gY-3=Yq9?T<cgW^!^^nqwr=yBg^>`YLW8$>M8l(I#z!^
zU?j)&_TDJI6JeazpnoN1s7Ua$@^)fEKmB94b_8hj0$D<rs!2JOoc`6f%Yxy|*S?@4
zA<@k_Bew6fAC?avk#;N~v+&65B#Ids9Kke+^~db&2luivM+hqCkIW(y%N!_B0C~Zp
z;wK3F^sfch`y2nv&CTuX?EESD{7B&Wdl%7n*R+OX*oz0z_GzF~VjuHKcJ`nxtm;+E
zxuVcV;se24fj+|JD`~0IU2Lyw%g&K}fV2AKq0%3o*LS=feC)rCpT)BuLr9w-l=6L`
zuh;*<eRffHSAI+K@1Dhy&yuiH!^CqhyW2nCu;hV;IF6j9)i;$MZcZOb9OVtTE!&=L
zB5342P3YPJ;CJR~qhq3@iD!Op4*=Pf>4E>BRiTF#&KdY3%Di{v;)3jty65OAALPbN
z5u|ZP83z#Xb7ObRX_I2-_an+<7gxtf2^kq|kZwYbY<gmEjhx7Zt5EoPOws34WzveO
zD#FVf2X$Riva+(0JkIr3ghktF+Tu_U_){KRLgn!~=-&bblE%Tk4L&FoeAOyGB0ndX
zeipBv`7(;_2MJ|^`PtqEN3<oR@K$OOzH~U`&dA6JXICW}W_d|&YSjuWNLIxQDC)`I
z=NgUEXLD}_vL0OjJVa=l+-v8p8;AkrJD=mA#GKhCZh5%=;2HOJli_$4&RPC7Wlq@&
z8Xa+b*PWq*g7T}wVLSQ7i`t#y(8;nW7H^?NZ|NRs9GI-Yx67Mg%OAp#S=EoffGqlP
z@j;Azjj?dmYr9%bT@1^+G}@Pt%VF2gyH?dpKX?#5|JO2K!7L4j?^b(sN!Te3l)<d+
zA1WzaN#T!D-Cq9v`y+1`IPHb)ni3GPtuz<a7Kf#bv{pEYf4+0>;d$@#aiGaGfc)I?
ziyC9z8=fXcj_39ktKQhZk~@w|1uQ#ZG6!`j<QwQM?iW1?#g5iZuIrfvU<^w;L3L(K
z=WJkLVC(Ohm!ubH^>JsHy!~`|@A%kkU`Z4#TJ4+Q*54CieNL8-%XK3-O>Z&nBPT?)
zCP}msuD`j>wcx~LGn$DjIC+UjX6;K5&H-T}yAG&;1cEz$qR)UFa{r4k*8;$IdwY9<
zi9Q0cuSr0ZGCU@!e2o%lxlMDit*ZTJn{bx~7+?pEsT{rhhqu5d1U2?2)4E$0cfD9B
z(@0U|w*2moA3w5HcWoE__SX@Jwr(C4>MJTw%!b0Qv(~1uTw3j{E!Zi|?Cb6AofZ#k
zC|d!Y+^eG^rI@OiFiN?rrL=SF^Ya}mE5DR)LNi(_uO@YU8g6uVb=`E3JmlzG^Ab41
z+n4GUC&o$txnJ&YECIQdi7);%U;ueH^n0SFNz`mNkJYky&;dJsThWa#v@gHRkqh4V
zJ;c<^Kdwt3Y<AXuED`DTI64toa0W^&{dOiTt0nmxi0kuyQlrloH$nGUwjetz4DZwz
z?A8CUsj+O^lk;X%#V<oV@>J+nq!~X2gdT1(+|~by>>#XYIyyF7h3;h2%Iyh_ecEYw
zF&U_Y;Id?-_<n1@vAiv%JMPAGjqWu#NtAH@(cKM-S0^VYjn))ZIh;0CqX!4T<s4L!
zHH&aL73$i*Irn~g1-EECj3rdTNH1^&)1P}ke&S$ji+8y6dCg;=wF1?+Y&(;Yj>F5@
zweqzZqMq82yt6O4*<ZWJxvr?y=+ZRC8l5aB?)++rmo~*}Qec07Uv}{w5$w1lo#QjF
zEPO!2jkj%1Vp5XjJQ&?um6(eVIPJv~Kigs>$fS$6AiY0&fh!NC|H|?Si9o@7o==cJ
z4-FhKL)lhH$ektw$8*73$!AY8+`I4bWYLLHQsTBZ{}c`^f&S9^fGiOaS>K&MTir?T
zdW6`1CCwO2E^%cl%aEq)=yQRY1s<(cXKz{_KIAXwKM_1g_SCSuX+eK2v;ApUCt`Jk
z^pVuKjTm!@t};E-NBgnGLePa|HtKL5Z=5xKduJ(cT(6iGs$4^5@t6zR(JSFWe(p1s
z>fJhc$n1OmE|*++(@@B>(s$eKL*N9_)YSC$b`;ocJhqc);{gqzY}{wx@Lr?t&GDRx
zV^QtCQ)>RaCjCttgD(Tr#bezPR#tzJmrWsDpB&Mvm(xaXXWut6S~yA@-P^03T#qVU
zJ^gw|JJ_{G8e~0Uu~G1!IU)KNmgfm<5eNhV2y)5;JI+~+_GxG|eQR8u%3WBFSoi13
z+0NH=wFG&|>9yvdv;82m(WU9`3DGDa1=3j7AIuIUuKxbg*|-h<#`G@x^$5?JNm?Fi
z8UB|~moLE-5<E?>X}Odrwm(bDpY|v83<|&~<*Y_;E1vmpDZm`kUL*5pE}YM~03mtk
zbhhxY%t3}j<-VATr4^zBZXx!zc5(_h56|70F|hfBDLUpRzpVXKSWYGHtrdq?)(iS=
zkyM};?1!3aeEw%+{!I65^aqpj;cKt%(DdA~<2QD?3AsZ;{bA{cBz%RQr{zQQ(f$U`
zrb?jUZ_fBy;OA%g!z*FtC>Mq*l0c?3;Sfx|K<C3xFPp@RA38eTA`hSaYvmLP4wD_@
zhHa#7S=v+?XwkrbHQ>9Q^r`MZl(^#csi06HL6{`jD@d8s+|I$lfseGy0JY&sV34=>
zzO!NH0`fsNE~vB7%%-Z%=dMr!s{um+_Z@>~bPN46*b^d$j;6wA2(gp3P$1Pd9{C;Q
z7hU*s5+~N*`xI`qA`E$gz67CxkdbI#ffNR(lAgOmYD_6^3D3IBObFcvOHyAv6A`$v
z1uWwyC}PpCJTs8e7I2z{Rg&G5F9K^8C6xV%<pkv32Rn)nZ`Um~vt2c2bqc<5j&VK&
zM%`3Y<-3@)0A@8lK0aJ#awL9Dp%qjkB=8M>q6T_p3W~62wvQ3YR&1_0kJk#BU$pd%
z?6Orl>JB1fPd8hJ&4Nz)VdLTZ`<i;m)vFXO`Svug8@mG)DYZ$tAQ1W#C^W_F=Jm58
zXkW`4isY^ZO#-txOqcf|N@4Ci;W$10{_`)?GgHsR(kG23?#VcpT!Mr<Upjv-Sf1yR
zFqGvArDxf|uSb5#7(LnGn0ayKIO&cB;nfqy7HX*0g0WS1e$$<3y`QHrZsALr*TOH@
zP;MtbHE%#wt`bl0N=Vdv{mR)D2M$vk8ySK5)g5kx5RK_X;z97f^o9sqo>Q8FQOBI8
zRE}Jq>7?EN>IJw$3G|GEN!OK@(Xlbfl%AQ<)Eh38e>x-JW3QUS$OY2qDdipwaYv!_
zx9X*hWITH(>yd<cC)IrWv1k-v3r4yJ#&49nJ?9-z9g>B-?Gdam+O)0<3F?%1nHwZ6
zfDGJDlp&_0YoXFUt+p&ZU!v<={JCQCJLhW@i*w4X6h&hl8GLGTZoQ<5OZdi-5xZy9
zaCUkWA0Kb&D@alBMW`7i9_^QFs?X|OFs;l5TA>Mx6or7{z5iZm4!L7vVWE4Tk`i?V
zl2XKHbO&Y|rtNxhI$~H-T-+|rrsmkxv2RH~@B7%pl@CHPukC&Yu`dvs9+3U0`KkZY
zH+1Csh3gQ*t~Qv{=SY~Fzkde4rb=-QmwZvJz>$N4gLnpFV&d3J@eh$@GDi|w=8+mk
zs_AM5Wi!@S;2jlf=wH^8S$;O<N-Xv|q=UoKR-Joo#3M^5mCdOu<d*Ka^F~iQNw4p*
zC0R?P_W&>Vp!aGn=i%W>c`j#~8oOxeHM(wNU|marq(whp(p)TrYEYT8ihCWe=6oK?
z%FL7z7l1&XT#d)w`h~`^S>5E$d&r%n#pi(6U9s4U{9-m{8)Hw~0SXW0hL?65!TIa?
z`T3{&tBeALe0~pYm%)<Hx{iFv8anireUHC=8arNzgo`ypRKMIT%#Np_Op)l7!=Ja5
z7l@b=4i<>8sL&TxzW~vq+4aTpc1<m%oV^#1rl6pRiAfyt6~<nJ^vXxO7}e=~lS7#W
z&WFy3=Z`vdrH~2M(}QzSuX*d@KXT&;ursYr<WRP}`Gw#ykL?MXi^n_Es$8;xmZbk8
z+E0JT2676|6FncO^UL?%!W1q&wOb7$t%JP(3Y=v{z9tH1L^7yoTih95bLE^qOz`T%
zZ*mThA79)?V!MSUCA*|DW9XWy$tfsW1S4~nCON7;R6-t7J-J9q+Wpv=^iv+<Qt&yx
zM{cGz=HJY5>_*K=P5k8{^+`(Cn*_{}DWx^?i58O!2jD!?dCFju=7ooeej%H0fs;&m
zb5O@5?c@65g#}O9t2D;*q$DH|_JVIc&u(0w^CQ$@O*eX&pBRnAXplUjwEe*ERJxqE
zw4cWJGJkFBQgC#XtJdUB<!UcrV;lT9iT%G@^MekFcy9sFogrnAbeoaUzx(>JMgi!Z
z%51ZU#XGjs!$B#n@HafdBk}otb*Ow8<?jrqv<4w)gd-@GX{*2^=f6&G;P8a1fiuO6
zbS>X%C~-l`)c0a?7Mv8Uuf#C1g?yW#9%}Rf@SJ)xbHN8kcwlxCc=qFfx7p?~uP#5A
z=pF6Xp4`j9BlHdo9_z_#NXIpxZh`tw94k0%!)&fk2Xk?D=1cC1w;zOX(~`y|L0hj`
zjz1I@JWowZQi5K7T)sRgzrL{nPPYsCd$_p?nGN#rB++<(y73I<V?KW^GfDT-D=C!@
zyX&KmW<pEf?NnA?_t1Y0c?bt`PigO*cv*VckQYn$<4O9YCd!-@c>R4+;z7+dFWK$b
zhL`T^eYuK*6B@bhD~uw7f{<%3XGmC9I!ogaWVbE5)3ec&RC=EDUd9MSYi%=(^4v&Z
z<Bia$8_f_&6^3Q<H`6;uC(~G~mTn3rX>r-Jf0;$-hYJwP-wwM0S=St$jjnGk=cXJ`
z?Baq{QR4Ju`~}h<?R|Y2_>yH+Ms3&2w=YU>go{VaM}bBG;Gaz&3>o^Jod(=3Ojqa6
z-A|%SV7DD38L;02C!IyQD))M}VgU)y+TZ`5wFZb7+e6{>NLb&FDp=8oKcpcgJD-{)
zAK(kxJnfULJ32Zvv!w0QY!C*JKY8b1(F(Z&jmO*b9^G*-moEzoymxIj@DXw_fB5Vg
z<PPg6JL*re4d5Ran5?yqOfA#6S40}+sd1H8-PL&i`dx^KCETSgCzL!%o|%sIJjCwu
zWEE+$HCO0Y#(T*&CY<OseixDI4mRs|)}y=N-y;}X-3MjNA<v#0!`)ND{K3{z#xdda
z`r_Z3(-bZ=ZM3)K_WkJ{yYFo~9qR!!dDOBoZlU#qmM>p!AUWl0y!mn4Gr^ImslfEL
z{VgBkBy0MwQBe$A2TPAx=UVT%OJr&=Kk)bQ@lk?Tje;IG0HH55vJp9gWPVs;%Kb)a
z@V=PXSo8@pa9Dyy+zB^_!K?tZZf<V2F_*238NRjPUntk`v=M73{cx^CDE{qRf8kj{
zV~Uo|F^nUKE6jFV|EPc8-+$D9806Lm2NI-%^wFV3nI#4Y8u54MMxuqyAu$^5DqLI(
zqobqqsVwhkJ;K9E)FTf)Jhc#m)zg7TAFAi_63EU6KP@RJKVDLp34G>TAt<c-<v6sb
zJ3$*{4sY9F*}uN$U+U9ON&iU+`9xDla{ki=t()D5pSDzLkUM<_y1}HV##+cDU6rkc
z<mxJ3$Fxh(7Qy<okZB-aIQ2Y(y`!;c>L!ImHl4qC?t&m`?!)GdEWWjICAe%)(33~>
zMISXBKGCNYu3S>SuM+ohV03zXd}Y`7c}=x+de8Rp`jE|l!bUr4NmNXi9(#v>#RkMp
zD`ESAUmWp@-FMn_xDAHy2xj00{ZDs6_iE#G(Ek210`;}74m_oO-t>Rt=`6#d`o6b+
z=n)WyQb52VC8ZnbR#F;7ItA(O9J;#%1eB6gQW```1cq(_kp>m%|Hkk0d*+odxV+%Z
z*?X;ZuX}w~_V;f_{dxulJ`LlYqh4GDMy(0G#`R8Bk0o#dS*i3TSnxJ#tF}*l{f{@4
zmtOx<4xap1OmZ-<gEu96qhEfs5AUIKRH-mFbnB6($%>kQa4=BLC<)^?H6^S%7e44y
z!xL=24#kZeja;7JWVSfZZA-_|NbI{m#=aJGinPF%f#4n6EO)-v4$*T$9>TeInll9M
z<70QPaE`|7-2P62F0qA<DS=6Y8BB^E1SjLg94y<hROe84o8g@gZ-DKp`1!b&G}feA
z=m8mLGG@*|d7M|d8}lVS)KAtAM@>NJv=AMkBAjZxt-*cM-gMc&J;2kG>~Zw0{ejQq
z0!Onz<lDNbnfZBOu?S#-GZZ#grLH0n5T{(;3;Jfg*VZX4p^hU-HK(SF0`5%3c)?CY
zn>O5Z?tQT0a4^u(>k*&%YN7e}iWrh@aP}yOKk&Np!81@3B%AgPk}V4N4>4sZ5He$1
zzp)NQhinhVDug&5!4JVml34D)N4kCVuRd>J8*E;v>fymLkyS68HI}GVqwivVc)yD+
znurkp&)o^1!<rb=KEL9J$EP5ly)*m8$KHN-<Im~kxE9AP;ey*vdW{{`NeY>7Ni{gM
z`F92_{moc`o#fh)_4GNoO-6*2%NSvB!}B;=h%-T531NIcQwSY0CPXxmZ4;zn6?cU0
zPP;&3LkY^Ib$@O>JZ&p3E6XZDlTeG(IfQ#K7co@evSg5B^>P1n`M^<i;@$R<ZDF)_
z2mBqNCei}#Wa4m>(s7&fxl8rkG&d2&JaWrA-ECR;P^vzsfJT;tlfpAIA2l2M4}}W9
zysdW4Qs0#2VWFLzJJ(#Se1GEtTDIaf;o{$iwXkin`kdw`Fe>|%_;(rjoZ}RVprQz<
zuw>}%X2=@XcP-LFV*PEPX1Le>m#32cSK~h)=fxvV%czMVCsRK-hKR|k3qvhFO_&6|
zkERJLGxQXlj3}SPxxEaer-cOze{a{cCp12ZyUuGb8L(~zBGj}?ltu|Y3WFQOCX4$R
zq%@V<BSJJXVBEfQneGjWBYhB@1XrVHRxJ<vj<W`w*ecwl>e;u@)LH0RgD}Pjo;>5%
z-#*0Bl*QGe<I>XjQS8W&bn5)7y1hMM(z3S=i19F*4qBytD5u}9nxnSVZ;Zh>2pKG3
z?7~TQQ&L}!)0$?Lq*I|?)${K>BpRw{_=a6<9c<ibD6bx=fP&F5DUKke&00{{u_{H?
zm=KMS8YU!}@PwRHb|vS$K6@J3*w&W2>81W%DyJvWA>t=m?bt%=yv?r;+?7YF_c3W+
zca2<*i^76IYrH%_?j|!`wEKULPK0SB!JKAAhYw&b!e!U!Awhq?9#aYQ19`H0;uNtd
z8cL5FP}I3Kb=Z*HJ3~HSdn@`->yQio8@Ku4VGYXr;``~)!SBnxt*tEscM+d^bu&9Z
z*glR4!x+qw)>6G8U$vFHkVBy`wqOMc=BGNmZS<V9=;X8JbvRaCB&6@)D;rsu$l90n
z;9>oaPRkS;JuayZmL{P5&GN`J&prG%P3T?Hnp!62AMb8T>udS~4qA8NTv7STRMfW&
z+1E<6RACIXTo^o%ZV+Xe7ugW<TNy<?nkb|o>-P8~Kfbi-Mv2YhWmcDntvpXoo<C21
zIVW3cS*}Z856Z29oIgSPsQ8uO5CT>V;6c83+ipVjz4d=-k%tLcxDw3ng%3xP>;M$_
znFHqp>OcgpY*LNfsa)Cz2Vvd0sYd-nciXJs8>+a4EmwF=SsBh9>Kt(+Ofrw2EQx`k
z)4GxpQXb+lkjF<DfZ_)F%z`bE#`T&|A~955Q}ty8m9)XqBjbnGn7Z@{{PK7|C@dG}
z^zX;YIZ?6}*Rr*oWgb_$CpAgPBBy)cs1&UX8r`ux-nY7azUO~-<6ZJvQP#XHQ6l48
zCr(d00u_)1fjP3Ym<jlC<j`#dS_mIk$1(1)`^T&Rf?w~^X?lQrEt%fyi2keo{o|g*
zac?AayIc$Ysa}ni1by~rtZJU*^3B^3koB)_ng4z67n%%fU>sbX3LwoSvT3I2e_G7N
z*FGznBUSGcvP_2``ijOBL>K9M^&oM`6E~tSyceC1S4oJDlzPgj`UnEeQNyY<WIaj>
zdD1Yrn}gBAzv?np{e+QYyXqS{6S12z5k&jlXlQDRZi7>ih-UVHbENk7?(VMYr-t)~
z^`skUax81%%+}4?s0w^c0!V_Bv&5#krRDtAy_x-!h;EvWspHef^2Ie$2m{u}T_zYN
z6o;9NjvbUH$%!X}1NA@<(z+r6S8OFC<lZfsn_>2r7Loi>o$~GE0s7Gg7#+3vMp28o
z(v~Dr3dS-Qq3P;3GTJ`X>2)`d4CVpWAzS3R@IZNU?ITP=&U(LY`_FD1H8xp~aC04v
z9L*2HzJ}4P+LF!CZy6<Ke%I1UwP2<}9;^rZMoO|ZuRR<b9@aAu_jPyIPO~tOM1+#z
zV}t(JK3O(%ap0{C2&<^}&=MR3EkYYRUQRbD<XYp@wmtZ~dL^<s`!mFS>hihK8L_R-
zBQ7|iz<{stu1X;uT4X31HsPFq`?bxQk&LLIAgueVkU;kBn6UzMiHC{m5W27_V{O$F
z5<D~r|F3UeegiEGTZYO`HmgL3KJXQDF>31O16uO|XUvrG`*a27&f*@mjs)3qSe=My
zEWzxOt!$C+|E>wGKRTBmz&}qu^*FV*wGI1rm0I))R<iRT9BGG{_#?8nKsJys=7(EK
z{53hJF3Ai>qekU5rL5(v*Wg*Z%Lb2@l|cxS0XrYpFxq$4T=}EXg&D(^@edmkXbPl^
z=`kJ-&PDgGtgN)`1bGNk1v1Yjh2TRHOzAHLOBw7W^)<&E8b)$OJZjnOTr!GNblQ6^
zJ+LI<;RWkjstzo1=4m1ycJuh9kW5tDIuV%xMBw3WZ*O03USH(X#@Ca}Ix)`@20+1z
z&*ZmhLJ*9`GmoaoOe*2DmB1&y=lhi?#sesHdwW$}eNAi8EMrWRw1mPDlAH>3nQ9=4
zo`1DR{Cgcjnu(SKLBB|>a$({5rXhT2FPE*Qb|Kl4rl&F&z|cm(`F0c}S#4SL^%s5N
z?ldFDqPc3!E-WhADohjP;&5S}8Z|{fEug7cU%?!3(TEwSNIWsk$Nw~mKF-WI$?|l(
z4r{er#AEMb3wLGA+SSF!|N5ng?B}D+&xYZcK^5iQZDVI=XLC;_uLnU9roTNiuE!{s
z_(SjmepMw6hxLb=rR(~-OQTSvVp2t#U0;VS>BE7hl-b1E<`)8f5W`p7ItE97u1`U_
z7#Py3UmBOLz3uF_*{zoSh`{4gCs}A4luXE9H%2&074*<gpk>_8o&j^xpkH?R@aUh2
z_D^5+3Pb`8>^?z6NM}9UlTE`p8PIZPP(+7J$gXaHJV3emu~YHiNH!Rl+}-u7|9SF}
zrr2<4e`9n$T0r<iShn?BXM^_@xRvD!%F1QrDPM<PRu0z=g<&w(qT>43#M=h5O11!g
zk>^2fZnBb|Tp)T*+6T-JinWIxRGn>~KILr+?R0)0@S@kag@({YWtEQ^0aVuW+{PLk
z3g&gk;qT>=T2`~>Qi7Orgcyj|XcEPyB$=o-1epSJiylh*vF}&C$bH$5bN@g`pwn`-
zWg{Y8GaRR0RtI`{A3pqfckiEcv)}WtX*BBAvLLYYh;|j!C*ad>`0W80zJw&6<zBSj
zQhnNVKYxn_?%+`PE>0k+#8QZd29n1usC^t*VpGVp`qsnMov8n?<&EOUuwNQ^!kcj;
zC6J>TD+Y3In<`-H$V{fy|MF~Wi<y@D`0oHdggR-Fa(zE*GyY*dTB_wr*2_DMceuHM
z6vA^?nn959H~g>&xx5T`1~5!uK6vdf$HWIJ!nvNzTDI+GY|xDU#@mL=fd8)qio4NF
z@=myEvxY5Y)phMsHF8y~ILR&;&@-5#fYME-9hU7j0Vks{%KeE=c2`ctwM&XNYnE9q
zY=^AFvAUuj4qA*cxN4v?YjGPXND&*}z2e+7KVOk4gx~G(@m%1oTL2GD4`>tv=>oKv
z=O>WU{**eqLpBCq^;lC1FWU;Mw6s|5;9P2G3{H=!`}NZNX7f(>RbYu0Gn1<12RAR3
z_<zs1z1Hwie0+Sai@cSW5AbU4{QBhzI?jTW{<95jz-$McDk={~a`<RUNGr)QGRdp&
zIz5Cs%BX(zA?h36awY^LkqWTReVeZybEvB}(a9H2;Fvn1sv`K^2w0RM8C`H-*H;R<
z7<K(<x#&p^y@%IP-538(wadSfy!8cJ`k;I~HC67qN(sp;NXhujMgvxdpoJRGxO~aN
zfut8zxVG*r<j?<M9?nckYxB-r;xh!l1+0s(82lk7C=f{xM}P6I%zwX4y65+AH?zH`
zB}*qh-ePyCZkgSM#i3PdX)Nlp-IZ0ZCndl6dN!X^-6*W1K5?1g?gaVhoMWseE(Gjk
zm_uDmpFFq;SM}acwb+u6ahPnZJL{3iKA%#2p_Qr_Nbk%Z3avo+gK%Z}pIu?;@n{lI
zf~AugYm4wMs`ZY!nOPANZlOrODm9ENwx}?Dm@LMHX<c}%sIbxVui6b&@zsmJ|HXLr
z|9%CBCPNA{1;#hu%F2E=`*Y>DvTBX<M)$6MVN~Ebb`|ym1f7@s25H!8oJ#gJ^(=|n
zfp`l_<$F<eiTW?4#DaJqVnMJ_{KV(4SwoD$dm{F`!1KX82nyw8Nrf<JrDqrkG=Unl
z%4?i&P7OKkF6HL_CLka%@_Xr%Xf2$pt+k#5S`mY_0BI>0Cw>+5PnNRk{qO8)X}JLd
zkE4BqKDk+1F&YgyCOXuDy`VZ8<=}B-3oU8K2ShPkf2p$?1#O>`_)=DO{6Bi1A$y5b
zDIIlq(Vnr*^Xbploj|5X(L7*=NQi`zr3BrqKn>{W+4~H?^`y{#fLd;)&-+#adSFWJ
z?kgPV@)PqHN6;ERelk24`2z?|<&!L<`?TojJZrAF<6A)T$px6j_yD$lr|k6Lrhr>?
z+4ZcHyKiQ#C#1oQpcP@nVS>H+;2=tUgRYc>lbL~5oU5>XR>{I!)g(Yvsj95>OEUIv
zGE`wq&R032^yW!pqcw)G6$c=z8b^u{g+{j;UB~t}3Uy>rvZ^)=o?j#7iog_leN&Sc
zdD}f%uI%A2wdNZLm~ifhHLtC_?X?XkKRgYm8sLQ>Ej_<1cU)OJ{+`3r7mC*J1i@Qf
zIcOt-e6D!fM+yTj{vO&k*k(OI$t#oS$soE4)dnXQl8M!n{9cO@f~M7N2vc(TJ=aa}
z&u71BCT%{Rk}K7o8YEIIhS*+W4b2ilOeT_Dy{?Bh97CB2-q;3rLq!twFx(W9jHS0_
zTdv;V@irx&jsZ(#QC(}-OKo!P_SR<N&K&P;QL7D!1J1XpHX_qbZ+jNKKTd6fEMd3T
z#$afEW97x46`a8P1~VXx{1Yv%i3jUYpo?-Rc_1`%)EPUl5^&vaOlzrGiC3qdM$|{)
z13zHU*FO%eDVwLxO%>()0s^cwdG|74oeNdBq$%P9M1|Br5qGI#IHjMTm-pyywEHkJ
zgMMIRqvRFp<{0>e|94RumX0^^N3{oN2YybVYMvE#M%>21H$^BTn5Lv+N*S0jzbIF`
zs`my-?39|Mg`V`2HgiF~fZ6fD>rhr5QX0nXXeCJ#A{5cgbS5>wy^e!HQ~a{O6{K-@
zBD&K*bb{+`^Y~P?H0*9>7-Rug`fH=1)I#s=dQ<xf8_emS-#p7Z9A9Q7dJ|2;Bv{R8
znX)%pN^Fb_tats?l$d2)RXDrLSKP;uWw=Ptd`!_u&%6gzsL}nZ+rt*W{F$Q+DGluG
z)k*f9&b-x0?mQ4PWcy^7j868MqDH^0wzUqp$bpsPlhNm!F5wl?KSljPNkiVSrIr?<
zI$3zG%4XYslOK^@8gnsyCVuq1f++-tkwE=Xv=ey5n%epf8of{MiH|SLDne1DY)TkV
zp#aiEd+PT~{__ls&5DL0{8fSLH^kWL^kK+PKL)_t+R%_%vSlX@U?70Vxu2W%WbYBn
z?bkjwYEY=jbSw(QLiJz227$II{oo{C{Oa#Pp&>cnI!)0_4h|BCD_!(O$K^Q~&%Z-`
z{TBo*TP)dv+99LGX<p|~$Z{qA*!n-EYilq<0M`WR8@y22^bXz0>_dFIP09(k%TMT@
zn}+w>N)_4HhlDU7rC_cx-$mVXWy*e?fZC#)8@NsWUymzZNJ!|$0iPU=C92v<dVaqR
zi0!+x4egTncV)*A6SK_-wI=oOREaMsamC5#)Tz&n<EV-y*I+CJk`NIJWr9dAz7;I2
za4v7P*|xZ9)<?Q~S2)?uLn)DJ?fq5j6LUxnm_h6v96p(RIvFoj-OsP;bJOImgAqEZ
z6W4})n`YCGFD$Y7*{qWEoqcK}r=_vc8h_NYl1eb(U7xG$2HSgTasP`+ofns5MgEn|
zRX}IaOB)d?)--6oK4hh+Vgq6*!t|f1Zg4&KbQOo0OA#MRDb7+ctGovZ51N+}^IX2t
zW8MHHhGwTVxoq|LgQGt_ctOV(kB)ujNP#JKq=~5ldi2vf4z@cYP8;57+SCzo=WyTY
z_t$?N<)nY5AjZwF0q(<@GNY`({7oAkBeuW3CNWKb9!8o;R}5Uzcr>em{^$HQrT;#u
zD++4(u~Il+Ig3c(uk93WLFi1(EHQ0QMJ#C&K69ZLa)rxcL%VY8@^qoFZZ!!)tlD(!
zK_#9qgQU2KUTi(|Nt0=>?!C8M8^3<lb3O7%-1y@t345nW`!;h^8K8j5%Dm5^PnACJ
zX=r_ianz;c=S;=&ug9eQD?u9&P@S(`e;?n*#~1K;1e!xtI|uFYz{CTTBYuxQ{b*#a
z3K%s}*&H!HGlPdJeKRE_8eOwaDq&GfqNfQgS(-}T^6+{z&TG#Rrpx-qcbKuYfp&1O
zwSSOd5LEmZG?Ar!Lq(sNWk;Cp=$Nr+Cw~LUXlT=={T4{MHvPo@9j>`A#}}O;IPq3h
zLG^)gCRh-S^^_*=P)O-L#iaRWx9#yq&ivV6tVBS0EeG&a)j!TX78Ly9-qL>F0Xpyx
zMh#bL!_tU^?p765$XE#q+6dc~QDRSa$z@?e$QSlfwDp~jATFBKXpHaTalo%DUAh09
zZH);l&_XK_hQ@&S<un<OjC9zG1%LkH0lmDue6q!^uJ+w|jtFC^LIjKy)u&JE{jO#v
zyJ3o(GJ5LI6FN<N<4V6_zkshm$pJU;WnEGiT9T{|jUN5+^1zI9(@m~=b#>L!{^iAl
zr>H+TH0I8udNe(lP=>ldHLe5b?r!@jgB}jobxIH8AdvNQUFv2k9w&DrD$0Kkn19<p
z2@@n!^(P}xDxQeG{WG$fO=~vjL>GGBz-WbJRF?^~t(pG1k<KcQl0&hpsH*ziq_F@0
zd3ygnSXs-g6wK^gu2t5@QdB-v7z!$PFVQEF1+JB$3xLW4q34?S6+XEX#Avtr8uZDg
z=K)#tc;g91%_BX#{Kr1-qLV!78(-}j$HHNlA=9wvPqsuRWSnX44r}~(E(Ge3xh5M+
z-UWB8{QUgH^6@B67zWjDB@EUQgzh34Wg><I{(M~Yr7`2re(ZNPA#AFRJK%IqhzCue
z&;m6z9L*{(r41@}dpJ(-3yq+Y1w2CYyr;hnP@YA{Nvm!^Umf;7eFohPqJ%XEo}-Ay
zfV+C}FzhNyyL=M3smz^KVFatmDpnNX4A7LDW?D4u5`K38h>o)Z1Cd;vXWl<@D$BlP
z2tf#LLY^R(&Vd2N=Tlz(!4jwpw(?>U@J_?f?Rw2AigVwC0)NQ~wHyr}Bcy@U8+G^K
zddx?Np&%-C>)t@+YhY&t_wKKd^_wJoH1y_x`>+nR>avkJc3!4uY4a=xx0sCMXP2-I
zs*-l7mi~LN6*)hx^|=w;EHY!1ukpM8=LHxG%S?|xde`vhW736HT_%^Dnc*{f66_#T
z)GQ&FA+I8>t2{-&6fLYrAuF!1%LJ+7a-W|QqJ`74q%Tc>5xWXxrRf0<%oG4rDXJ5_
z?U^BDI=dIe83Vv4U}k9v?kTdlx7cQ&8Ee9v@T}lTHZ44mSPFvKKc`2?V8A~WgkEVa
zIHYGvTf>c9hUr#`;EQcOQX;=bu>5T9Zm*wkP5EU#@yy$(RMcb@6W{M~x*%7n6nXqO
zcXVGVQYz=pnQEx#)dzY-hA<Q(2$>=x(V=iD7-$68*=?x*K-zAz(S|@9O<dlhV)tX~
z`5v2De?l<-6zxaADq@9a05t8`f3AzQI51Jra6KE$h^i!e`g&0-Ho=i2Zuz2K&cKd(
z^0)aWS@f{DQC!93N16Zv?9q$%$=C}9eLGri`ddbIdbYYkB;#7^^V@UJ0<4F80TtIZ
zjpL=2KE++MK{!NajOB-xlzs7IhCXiX#(3!6>Xj!h$iXLrj}Iv^Zz?3nVq#YaD%HrD
zOAr=r4ai9cYP<{^#2e=?w8El?xMyHi!Nz|TS*k)1jo>&qH&NnmD35cxQ1<@=`dsXp
z0ShU0JZs5o%PlgWARFCLH~Pd#1sF{r$~;m6G%WAf*MPZFUgdS#{Z40<g?mfBkrN>o
z#t6VOz8XSne+|495T>Itrnf@!J@GXptDab1KGH{DWD``4q&BDnLNc?mGIaRRIB%wr
z+<qkjVWwLA!@9CKr9(|Cmg`uMyKh1U^EKhE#Nvw7p~#SRTBG|~HnZ>SEGn3k$iurq
zG6C|JrlwQ>^8w&9urd|rU}5IM<w*Lwdh}?Mg!bW~*TS3Q(^)_zT>9tv5yJt&y>&Di
zb@u%`@c!9U&UKj;PXGZ02u<1TUc`j7z?{^%ZR&|VrrPZ>8s?u00vK!Y%ZEDcf2@8s
z^Y`hh#bU^HuIiBQ2r;~S3xWA4(a{&mbRHu#=pj8He%+@53p7w^0N8~HB&(F64$Dz!
z`92i%6r(K~Zw(G-a28lq2>s{*XyPxf;rrbNV0ijf`}KYfaM6N*3+6APVl8PhT;iUM
zy~MP5!54-XD3p{FWl1vg+vwt<<%a-}Sh`(aKh9gnRYuFiVt`9MYEdJg9p8=xXu0bj
zE}y=8dAJ(9*EtccKU-%rA*#Z5f8O#{*;{z`aTe8M!<HtnBA{jSVkrbg0p+FFMod0A
zDKwUW*P=np41_jRm{B?7GPfZ`8?=m!+$SmeXmEA@YzrKm!If$*xgkq+IEWd4W~F}B
zvdu9=GOj{c%c?plFC84NevPXt=ho<3=DrXH^a6@(!6_?krVgR>O)nq;AJ<K~EvS6b
zRN`_um#2#=R88gmCm{v|gZpKlM?-6JY;3G;4bL2p=^h`%38h=yjIZo|T>3<ltfxed
z85D{;@F9DSLke>MTm8!6edEW?93N1vY;D=hVcjMyVwzo8SeTphaVsAt!+_FyYIzYw
z>1V}434yS;pvM>+JB4{*-%1sRs}%i4FI>tP9tsN&VrYD7i_N7}!;Se?&N{6jO(L?E
z<&8{%28i_j?H<5yszY9?Gxa+J=gyv3rjUF?VptlQhCDyMV}S@&vDudC3?cy&7mIKi
z=p1t=`R%-v1np-(Sr6CZ>$Doa-iFXQ5j!Wc?c!&D=3Xs5PH-s4z%+nh)1vLEdX2*T
zF1^C_#bMFKx~j|qqiONkuZ~2oZ+`I5?V1IifCdk+ySR@gk!CTtZj#3l?q`yVWz1}U
zuE#eVUPKSm83|)j+OQR-+S%Pu|9<B8ICHVQta8Qi1_?W0p0w%l!uM$4`}T?>86Xy7
zNdk({l33n7DPZ2e`n#6%);4S62RxCiBZJQ#1y3L+1p0;7_0=WtD}3S)|A@-V&j;7~
zAC~wA`>=MCjXynhR;+*?>U)7A{a4t^|GTU1$@~H--}#M<U(y}?>^2P=3%_NWN3hbx
z{`FNqSYq+YFYI=A_1tcWB>6;x$-rMJ*f4w?m%*cD;e=1JtZF;p>NsCkopLnS42=m>
zq-XV|H|X;EU;duru+M6E(Gy7-_+6(jwP7xPcfMtcU-Xsq9&e!kLqigZKs`(;Bqwez
zAI3YnTLwit%ge9J%5G#XYI3v6hO{skV?&ZQo3?9h&W6__nBrJ$_3HijJLB}~@?2aD
z=!SU6ku(eG!kWf(61%d%>Wo>}6=7Wam?}Ek0Y^^c(tOX=Z7^yFJkD$VpfGFt&!`Dx
z-19O8(An(M{<G|QxElK-YkEk!%B(JF2(2Y_s3fnnzFDAz`N9CO-_x-S^>$zJazOyn
z1M^Rn8V%iD6umIqsn&h@NSg#psw@(6=l?eRc1&6#Zmm?-iR`UZc12ZwKtMtgS_j$j
z_krXsSA8w<ira3K1~Rls<9e>%XXBotnnzC+5-mL7HB;N52Xg5^BWG|gd9#Ux4}k{9
zAnc7@q>l=Fn_|dfqu$fEVKL+NOJR3s2aL?N{-swQr=+49w!FscaOxS^npCnTR;nTT
z#ykl{*Wy1AZ*JFR+XF_ph%=FY5=;LkXmOnz4s9OSvITjeFo`L2J*k84tC7-|WQq!M
zpz=kVoYwkYJ?;jg=WyY2-PxPF1SCbEYfMl;{dV<C{~)~oie{u~|I_*254IP!4WR{L
za0vdkn{<19Eg6q_9gy7P?~PB)S?dL1By?PSBk&Ep8z`w@>}_AL<0#l#le!>o@LQM;
zkXtPD&>)1n?80p?m&)@8*M|>wH(bVf-JXkVf)p^oR~Sb_4hv5iIX&TKq%+W%rBVv?
zIPa68gF6Mv*#Q6mkhd8|aD<(i?JkfMl+XWMx|%8#9T$%eLO8zQyVL{@s*A|olP5sp
z2HMvpRsVYc>*T}_!cXFXD>!z<>|i!dfA12Coc@dt(K={M?QD-nj4!j{UmL1)zEFT;
z+GLGb#t2sYl!Y6%dcNlm)}zRVBud8tdG7h6bPJmttd7`xj~&9WtvB(rGsGH`#=<fk
z_{e2SbchGIXlpM_?CO$gbGeaj?5;&ASqM=)>B((3?Nbj6^1S>tko5rzGjOTgN8bQx
zVqINb*;!3;QwfcPTA6j$(2UwUi!3o*bXc&OfHGw?Q{U;u-oPy|Xgx?mX6b*h-1+iP
zyNxZ*W%%c(jJI7VWRE#BLJMwV+{1iRsn3qOd%VB5kbM2OUwqN*p5Kj;&S(GPS|jhI
z3ADHSH=`}+oPQX~?Wd>B?{@lvaZT``P>;^6dBNDjN2f<B(czP2k}^MfD|8=Jgx!pz
zWLw(2S_8{-fN!TE=Lp_&T+EH66z)OK2Et3uuqAK?9nqMOF)GqJ2`O36>t0QwIjfSi
z$#6wwXK&fHqyz1<p#jU$-IX7V2Xb?#e10QcCCwX=Jp(MVe&ibsvULE3tv^UhITggu
z{|c#IuyZ%1GPBoJ4|vTL?ED-Z9gA@*vrD|dpM9tQ*~(AZ+r;<CojV>S?NEj(*=~=x
z3P}8n=yU3bA)**|22ICxp`TJnVAM^uIQ>2mrkvYIijHP5fE`H^te)FMiCYrK3cY@%
zlhh<C4s7-T`w%q*E`%>fe|mcf#}I1#aaPEVm_C?Uu-uD%_jcfvd8YKw;aLCSDW<WS
zZje4!Ia3D4bYW{GQz{$ee>z#tl4{{m(NI2lC*;$WkT=d|&r51O9;#oXk+!R`r>*jA
zL8VCD?{!5*MKe1~XO~w1L|gutZni1V!pp-?lY8y7w?m&8E4D$JIh)@94Sj^k_Z-(y
z7I-d6MmG4`Jw+QS?@sfdBk2SvHIce$Zt9p!KiPap-WJ+$+jk*eb8@y_dDe8CUc6X4
zL`}Bt0p81|*NuF)xY<P(@)W<YaO#aa@v71jTA=byLjE<nK%A>(%bd|~8JC6xMyMeB
z-)p?!uu!&=sk9e?Vx+l{^aR-1o?!JqCset+{seT?cXoC(wSHf&*@Q4!$ugly1nowy
zUR&*}n9{e@2BYP>?E9IulDUk0srd3GYbS4kT_P4!%Cr-ko_@mTE<4QxduW30YokK!
zTQ$<WM64*!ZtMi_5D8PF05furxvHurmd&9Iqt-)}%@?iC!p}omX89~q_dnLsy^xzn
z4#h;dj5cjzzJ+5{hr3)gV!u+xu<yCN?_-00vP312KAX3h``G8tis%ZsT$=gF%id~F
zR)lATK7?102FDldZxhBGF=dIG5dXbb#1wV16cBLk7|ewHY=yb3w?Rk#j+=fs;XGK;
z9=F>-doxRMP@B$h_b=G1Bf9?l)0*Jb>b>^2zgryPcNe=lDD}}Dc&!qmJKd{oxQx=y
zW7r^0J3%;tpXx63`gFk|D<`+?aeC>L!$%z*od#4l%~QtDUOJu(fqZfaRIbf0o+iB^
zzedFrPcP-mKP@`o#6N+<AojyD(Q>yg*)SyZ!|N_#lvGOb)NbVYbNb-;?c+K_rqsT%
zo|C#}f^UjL(`>ME2M^lDp(pXy1#DuF=eT}LP0eA49bh+G*4+`Y-#Whwb*Yh_8m94>
zNiT^UT~HuW_{Ot*{NJA*zwGrEzE#U6@+o=dWtxS~y$uVOO)ZNU8?VKl6HBP0iT0=g
zji!T`AHP(#hBH^?IkYbrx0Yl1D9|Hk6t7R0M|=h@N|}d{SjLm_H71}W1f6O==?`dF
zG#{~J>Rl2|%x?oV-#7*kTR@Kp|4s)nr*gb!h*Zxkt_0H{&biG)#oAAw9u<eS=@s6=
z$A!!#a*=e-v~^7>0BSB;C3cq(<i_WhSKq!hX4Y(;`vWYDdrSP2JGOXw7R5mnzEX^Q
zXk-xWYLwI9;l@?PBt>2lbhW&^ytmLI@W*oYwXBSknKgouLH3y~aeU~bKzd{Xk_;W^
zKG)32kd!%2NU_y)-ofdu;N{AXi_Pxr%u%MB%MW2;s?TMr#^_);-l7lVv(`wnykr7p
z`pAkWK;IcShPOdIfG{PI{g1KhH>3I^Gc!LwzR=pL6kJQMQ@&BaYff+H=jXown^*h?
z8c@I>Xx{&YEkTwUrz<;=w68vr?Dg-q1vc?lyHaGISD09y<k6=CdM)_B(Zmk>Xzd6f
zlMFNoFr1}HW|=$k_OxuD(3HG?eCroRpa3YoF#;HeA9#{c+(1|gOe+kuYPirgE2@YQ
zGJT;6Sye|+phApZ<!>jC<`RtdO+Ba@r9Vihh&+Eqg&#|Uu+?WtTE-ote)R)<m4YK%
z-_bq$Pg`N#2@o7v)Nm*DD;+uZM2xM7*EzV7JVie_sbx6^c`_9bePQEpEU|rH-?F|m
zOs6SCy`!z=2IhvXh`I$HZ&KrshxGflE$xG~H7`_>48W$R<O*y|NKPhnwaeKDaBr;Q
ztiTL`;%phXRmjYgdSOjiwaOw8CW5iyu#?Obj6WWUiW59EDg;*|=&JbOyc_E)ln;c#
zKG%Opd<%2@LS)KfTB2Dj59e9uu}2d@8*D%nf(!k5qvOioO}iM-2ETD|xY*glF#+{x
zYWwjiX3J*JajU?h=i0%6BUwKfZ~Yvx;60C;X>Fe4s$1KD5x<uYq=pmTY|t`|*mq$U
z`CzIL-k61bEs(p|;;|1_;+)mZrg?7xP!1sfJu+&|*z^KWL+C;O;XqdusJubr^@p0{
zW5rS1akDa_RvE^y49=2h(`R42`Xp`ei#UFrgK!Q2u>ep98RHYL77=+zLme56rVTH-
z7}tLM@I+siFWpvt|L{(HRb2lr4*K7CcOuXk(&Cc|)wcWLwP4dM*Mk%!lpm}ZenSFg
z8RJ3_2&um5wX69(fx3$y3u{3hglBsDqTs8HbD?O27M;X6fI4paK6Njh5GCYiIzpZ#
z`;A&*)Gn7Y2<0l$()8kob!39h%`8Ff7u~y*v*zkgp$ZGJUVEeX_YSe$j@y7TquM@!
zfCXB{)CbAe_nb(eb<oAv3M`%X-G2qjK43t;nUYb~Ixyz+)aEHfT61R(DGlqwAk2qH
z$4Jblw&VCe>tZkhQD^JeL8w`fxVDJMk7wC++a0h;Ks{rgF&%F+)Z+?P#H4!1`hrbO
z{6^P0CA@AqUH6T_hCiQNmZ+`(^vCS1(zvTn;hPW8*Wc`jJiQ%ID*)en+q{!uOil5>
z4^tF@e=X_ss-a){c;ruqMX_IZoj+ydh_tu2@5fesD7%zx+kLhhWDe1ZaVV(#K8p93
zx!FBulubqr!MT9Ct4Mv7q+!cTLGDtwkSDt$<GJqXyQm@aW`NTs4NMaCGX2bX?8A@W
z4J5fO*Q^P@mIak0R=ula#McLp)ri@7iXPi#?yno>#FW?Q#q8VpYDy{}XN_7mmzlm3
z?UZC$i_EG?LgE?O5Z@~B%}0w(v6MyA3QIfqE+RcXr=dh0o&|g+3=(F0A4RJH2gdB=
z{%@OI!kYfJntx}LdF9{Pv~JJ`O0}Ec9maRGjE7g7n)SG`hH=Flp6yHGnQ;JzC1WnD
z$(p?RZcJ%1wWe?aMQr<06wQKGsau-(*Vshe%u}V)U!4Z+OI9A?w^&O_x*l3}VKHG%
zUb=hcJW(Cz9d)VvEuTEyqHKG3N@Wg+M*4P{qaA;(ZNKM#UZ=rR!~NRRWhpiFL|hnz
z6aebfJQ|Y2NwxZlgIS$&;5@>r-$lkvn4GziR>ARlZHu13?)?jjDrZGao?mlnd?EN>
zY5^qq>|oJT<2cK7STwF8Nef9zrLy(58kLuXaSR|sk41g!roA^W|9)$wi1_f~v-4tJ
zq<i08tOS(4(oE%@^vPVZFUT*9vhB8ey(!OeGN@*@r&@qdCFgjf{_~)}%BXsp1xi1>
zM-4-woG-HQq-1=(+2KAhf;Q-nA3$~-9*8~vI0v+XLGHv7$(HAIQp<CNf%=Sc28iVg
zVmBuJA~+&c0#n9&`8xqrug~6xx)TqXM3J##$~-eOecF*(@snZc0gpD~EN}nTXxe%`
z8;;_6*8od4K;vW@Dq20j43Z1w{GKy48>;a~l&enLkst>RQWz*}z89JupF@8WGX+Z{
z@Rq4IUCdov>X>i?X`c3_{<bAblL*|E6^8HN-N#d=D>u{ll6|gsyRs|`mfHWeQl2W_
zfCX>OqVFS0|G6{-DbQk9>!n=|asSS@0UsBy_&?kRsxCjK<1I%b)J}}Q{Z=mJ5g@~l
zDs1#Qaj5%zuIk8qD7rtC$uruJ(2`02%4;GrrNP36R?b|UWn{y8Q<l(6g4UG#cK1QC
zykA5_#JFMF*Sw50EG%O*GR~ow=A>&G?xEi~Z<B3WlbL=b)h1Elz6IG7WQn{JoXNF;
z&(jv#wbbD!r8HX5AeaK9f-^*uy!r*)o<E?Z6g_D9rQtZzem4336CUT{Os1!ueOm;?
zU{H??Y8Xfr0At!#AF+AyCFIoda>S;2)_PPPx*vkD4Ps>sSD$YC($f6A@ADQEYw=HS
zoI`(G3W#j{@=E)731up5_oV6Yvo~hnG@u#8aM_$msvjUGAO+rZm3Nb6O)$9l$V=9N
zNHtie&_k)(zXyJ47MT{ATxl+yUf7UC9t!_;l5J-a;)r~Y+)`*$zu#g~C#s_14(5Rq
zr4{*of;ESaQH4x4spB@HgCl2)f-sh)aY${-pFg|KvWjO4g!+KA_wT@UyC!P)FApM=
zx%ig;2~;zrFYOhXPr&{u?!HGAu30oD5ASrOTQmU>^HhVT8?1y;TVLBi5)(~;@L8mq
zg0|8Y-|gAV#wKxnBa~{p%II;GVUy|5xuY)qnVP=JXHj0tU*7Q_=RyRQeCwEQg3a?K
zWp+H~42<tGXMNSCmW2&sVDs$p;G2a}c9&7^v3Of-J<Fe8U=YcW+|#gmGJK3@uO2ag
zQ63@owE<FDu2i-<LaU**r{qrp!7u_C%=W_9nk)Li9*c!M!?G(4Q^J!Sq9a7(gfv1m
zbU=eh60V85Piidd$i2#rh*Ll>GVpl^HwCzn;`|GoKm_d5VeG4y?Cez3)V6Ig$V7PF
zCSUB#lGi4cLz%=d`d=`MiEgHhRe*(J-t#P$Md0aDc3$I0fQ7kw`ug6Asy~FJWcn1g
z{nKdlNb-KQ5{*&6c&$a-L&wO?yDIp}b?e(7ci(v&G5qMVpHt511rIIWr1Yz?4#$|}
zP1&hze{Vtr;wYUB-eAMi8f=yyoL(gy6QR}HOu9`?hniIW?l|^LiwJBz_4y?;#p!f}
zsb*$o7J>wKk$B@5p~TpP!)Dw2#0oZekJ!2F{Q54gmY<Zqaqe-V>~|6iyE&=HScJe6
zIhrHHldHm^qs7C^s+fe66a`?2U@IhQkyk<y#<Tn2%iD=AbZb+H^I+SnJu0+{{k4V^
zXSJ;hvzPXR0I;=X>eHWw#oamZG?n-i%?>WDK_Ue9;KkIOkF_ibEFQ{VOGMut?~QGv
z*_=~68oGNN2zGc7Dr3=N2WFIK4CHuWeqGI?Nzrz!HvTENmlqzI$JIw{nD!?21B!@H
z4=f)G|NLehQv!*1IpSc8ATzIHVNYFOiRAK!J%t|?J@pCGESc-Mz9XuJC8=+*pkQ73
z;%wmBEC&q#j{xuYx>r?-ZJd6N;Ey1vqa*L)?i2T^xzAo7-~Tx~Ggcp(ttexj4mmAa
zQLTDzCJE0;T0tMhC5-J~Yu;ng^3Kz;xzo93_;Id?GY27+=+U4u>vX_u0DchU2ujS^
zLIgR-Y=hz5ou0nW%fb$OddBkhKZY4ACc$WaW~q+9UhrQFN=yKh$VXAqOLGnl4(N(9
z5GGAuUdBeRo^nXXXrZIwB$_EJF2-o7V40j*`@1+HMVJ%FI6;DVC|I$bg)GbfjAo@`
z5;V^6O6~gAn_ZV@jfABCav|@=fO5*s<G0M%{_{Fkbu&QBi@nSV4yru*f?N>JW6r1J
zqK|vSb{}Q(IVEB~LW*Qg%CV$;YhwH4Jfw3u^NkVcjX1A=0cjr?Nb19sbew--%bz{z
zrYs6J2Vx{)+ab@j>+4Y<Dc_1deGuugxa;n84s+wHY6})NCZ)5lOw`7F>fzfq5f92f
z@FuA$-kr^2CTDIyNXVE<gu^})K_{*qJ5n5bC+CV90iL?Lc%c_EzX+h^kewc*;?}}P
zVQPW#un~4n=(VMO0aqz->N<`*5Yr{Z48mj_yOud|3dSu;)Qx-k;q4x_rdKeH8gdfb
z9_zz&o{Yy{ef;^yHf-dNn@y}^V}z@_OgT<fP)tn_SLLDS<Q?JQ?Aj=yrTOXUznP=6
zCzorNi6E8%qzC25t5>h4e*0=QG;w|!{X+CJOD9!fRtG@eRUHsuX1=bjdzv%u6`iK*
z^&KRQ^P?!H*+)uMZo$^8*5YyYJj)3%WS6|$GV%swUtKLBgPL9Qdt9tpH~f9o9l&Td
zNmsANoO4DS7@y5PjTa%{JNfg+VQ2WI;0wEhKpUwipUJETG0EcS$xh$mt^IDJ`22<x
zt<Ji-wnPLhCIBmyPb<WTdHSgLGM<z44qpzP`9Ts;%CjmLK?fd{Kd7p`-`=ClfjEJk
z#$V%KEm8bTjOE3~q)9M&-SLCJH1G>Z;xutZOR+8tW4MqV1Ak*Cmx*DB!Oyh1cU(U|
zB{>6oe}U`b=VbZQVy_jn_#ig@Fmp)awS6T1=j4i5HC#@KyRhZt7Gg>^U)MQSLK5Hw
zx9i5E^P6}^jCOLrfOt%1=>GC^7kY&P80MGrr9e*k@kG(5(X@lL>0&(ldQBeti{QH$
zo0QzAHg%}@z*tQmlbN!fDf(i09<RF-u<E+Hx<-9ACE*oSRbclaknRa0p3`PMeUC1Y
zWVqG82!3KfKfI8s>P35%=H7YOLl(%c5&%XBI)WsS%z+H7DXW#*@3(mFKw86*%PT}@
z$?!vStvG-pwT&ORx!Ll1SP#$!opP+I$V1&-U0p@n6k%Ls_;>Gu%_J6jM8|CLnqu7H
zTH20pLKO$UqQk23gXm}yXyZc9YZ(%RokUbt??*7tK7~15U7T*F`+i!g%W}dT9F(r-
zX0NBUWap};{+ah4$Y$Ew+IizRzeGnPNUbC%YH8U4U3SJM3~b~RmFbyz=}sZ6ZvY&q
z>?Y?y)U2IPEdq&YX`QOMrfRIRn{Pp2sRdYe!*QJ1`vsvG4beQaZ{I7R?LsoMl3CqF
z!tp!%SKx$Ln(lORsPL5{mx9t^P$~ew^-KPM`#WBK>~C-(whkl*%df`<T!^6Wxq>(&
ziTWuzYx&xfVN;BOOS7}J8<y`s5{J)Pqfx+><YKr?c4-nvd;35-0UG7v$I^(^pFe*B
zX)|xr4MaAu*iyd|XOY3(-QBWoI|pxs7r`w9$(dI(-$RRoU^2_M2+uz`Xk7L!yAm-D
zq;7t++WeRB{qJEbD1kvoV6KlY6nt7tN>dOoVO)!+585pyBKK;btReQ-j7EAZMHbfN
zf$?cHgs*FdbgN+t@UVj<dXqe>)`WXLdTBsF*}S(nuUeF7F=?H4@5|A<s3(5nUsjD-
zpKX-<TJk#q0){vB!<B7NE;jNQQv?HgN46H0WQWkhSb>v>=;(DD*m51)vELFm2Yf=B
zZ#<6y9RVRTe!^z{Y&EjafHfHA+(JCryOuWhzGCB}5xx!S`V#o&P`DVaJ7~DyRTI^-
zKYB`6NWkhlVZ6KXbKXYq^qO996D(BLxmvnT<_x+vyPUS9ew+1`=Va-BUI1BQvHdxs
zPG=g^s^y*>33Q2C=<CJT7Z`eJip=EY-PPF8BSEtvvc>u*%P(oyxi<k4rcSk;;bG|C
z6mhUlC8`kKb@mDEAoeiRip&f}3k;ul3iL6*D}Fb^f?qQ*Oz@3zi$~oE_*0fodT(BE
z>VB+)xZ@^c09SnZ>J^9bGv@WSM9px>E8D=-IM@rl*@;(<M|1}33;dW6!y!eoR}@pG
zx}&&*@fLP4+P%Wu`VfS**gSFIZxQg&F0X!_`egtVs0(wGS4zmc+bg<f4K-Pz*bYH7
z<YvAFrFv-#fU$bCJ~--&rhFimFS_RwqhfgcO_7;!4D&MXZNXcqDn2fV#5(ZpeH>J6
za`6?YS%3)fSR)Nxf*zeS@11ll^=rbdYVrOg`Z4+92ZxI6e7E9AOm;)|&fM*5mUi7=
z6v$Y&EL`2JtPi-J0t^J6RCGwMHc(9Q*D7Yen7^q^6JyDkP6+FJnaIxMw`I6c=-<D0
z9+2byIjqaJz$R49qYhBX3Vy9!5m{X(WriLe?lK@qL`ah;SG)<Af!7ynp5vUfb17DV
z^;7xb17SCz^SHH*F<+dr|C9tI<2Pl&mL_w9NXXNgr&!?;1&|gAdff*;VSU~eQI0!r
zQu;E^A2*Swr=2TYO2ihcN+@H;!FWw{CJL%Wf7Wq|o;vpUL262m+pSXQBlpkW_Swi5
z6WB^8iQY!f+F{a@Hmvo0C5$!A)dwhZ?k&0W19fFTU$Gn~;y?ab9>WXPxK6i|C_BbI
z{qcH=h<O}q@zvdB18TDO!(}1KXui*<KJCv1-=CzV_Vty=v}P-Sqk}b6bGyJvwIIv{
zvAnaN`q)PQ!}Sa-czQpNY~aKP8|MSKMvnoEr;rIU7NoRn(iv2jkbn5TK9u3qrg7)o
ze_Uj@!DNf;k^;uYMemJvn<}e_E9V&{D|0~_D<m@OnPX#a&i+ieqKrYj(f8`YYs9Ng
zh&0^f{mG$;Cx~$UUTsZ4gfX&`aRvGyukx$iV&loiRl0F*{q!ufnk>(i;ol~+G`*8U
zf1huE+^3|fbjPa8ddeQEU@v%3hQ&nwO%n^<Z9MwZ{ve#sIlec3q=D!$_Xj_IxD(J;
zxijBbI8-#y^EzSTnWHh0G{Q-4mD>*Q#r~H3F#2~TGw)viA@JYxFxvrRF?emAQpoR$
zH8M+tvMd=YQSY^#Xz-rHtQpYg+O00B0sUP9J8&rFV4y7=bOCNLNM@iY2H?07*yf4&
z3HFf^#ZfL-K=K)~tZQhvS(c95T|K^4Kewyn5#wGy39uF~ug-zk+I>fyGS*wHqN0-;
z9ql!3+KlnTR`X180kT$pLNgcmLPi1-%st(PB(?%8V5`emL(i=L^u}~L$fMj!*$T=~
zj|1d14T@uJbhP3Rqi-nfS>u2Iy@yIJXsv6lBVaXXR*3)s3yDeA%q>^G*R_3xU$cBU
zV``Y~&U>rpzQiom{5WJxx-~o;QZ&6iA<3Egf$lrHcDZD@v6l-=*5`Yz_?uW_Dd{}8
zP@acpGW`IsJMDIhbOkbWFmADvK?b<oax6NnU%QC#A`R@uYmaofa#hmP(?@efPErQ9
zU4>1^3WbQAO@kNv7p4b}yhGn)<K<o1h_z{#GlWXy7QD@l5k_liH=<=6A1?m>y#$*O
z&9prA?~oER8iM_&$_|<%4Z1iHLtG?`5P%=Iy}viwY<NUizrvTMsJHH`Q2(*sNy|x?
ze;o#Fd+BX`R)B276lKX=vL#hocQPQDt6Umw_)?6s^is&in~S9Qhx>Y$uMp*j)IB9~
z2n~%WsJLmpxA%B+v^}u*Chq*F=z8Vej_5YPX}WdK%L@wR^MXCdb(LjoFd5?9P&^1^
zBMXZ`lOPLMOhQo4PiNy}Dq@z~FO|cY#`734gYzEVmKcg<JTteA%TN+XPr|{C8LS0k
zWuI%oD34v`K1h&n7DC$)eE=@uF6X1Q=j-=7B@yV-sJm_*PZ@hnsIUw}8sxZ$Dv5;s
zvQ&<2eO=_4-B!B7N^eyY9)dew>7AX(GfS313<(1B4CbJn``aPo#LG0RM@O}&vyINg
zLvK`c_AYjP(%>!q8Qb5geJdyDe|VIVdi2X1;>@CvQm_#(dzb2i**i;8J-~hsEV|p;
z+{3lE)Q@p7C9CV}f2Fj4EWJ%@1f=1I;_sr4nrjM4;~&3gL@zF!dHLE6-g^}tnHdIe
zGvXL@6vW-Y{=I6du2ooJT9o;%qO50iwJ()bM`gfO?%#oCHUwRd_w2=*&!@04IUfYE
zaYC5pVpehnQbFd~a&~ECfhG#(^boJQ5{N*)V8uh;rVUF(v5vm_Gy>l@oD-c?ja&yu
zqA&EsAdZgwQNOhXiJK~;8!)s1TTRve8znnD{LkD&X?<%za?TSE@CP+woz|wiFjb#!
z&zn){OZCx8GS=eVL|dK&^T<G_4MJi}&Y(Pwhy{4n?$a*E^R6&F)#IaZ6VI)0#oBgO
z{Mm$w4ZyHw_L4+aodj_5DfGVzV21>0;2K|VTp<T<aY~ve3~gu-$==ARxxSal^qDX0
z;y>0()RURz3l7Aq&H4IQUS?5U`{#6mc}@H`DFB1YKA+_rp59hv^$L)&fkgcAm6;yF
zwy+#M(4(J(XxkkQzPLKV^FaY>r0n7P*blJqXECY)jyid1L#D?s;9&!1)EkyWoxwB8
zQ9YsXhdWW0j@2hh?-4=>=_I5?2Vr7}iShmejfcxSjaCaF=-M3B{M%k|->k~0tvOpi
zuO3r|3hDzAe9o~cKN?@mHeEemb>QdMiTBcy5gBvS(}G5QKsTP7JKs_fezsUm!0u!`
zFP|IB^MJK5TT9FDL&4#veZa#67n)Kru`%CY2q7^U8dJY)%yt$`+>+16*Foahg9P88
zk=Eoh?WXfj?KL$8Da{~ncNCn@R+7T@^4hfaaj~Jm>;$XWikQ5!B0RMLJ~N4a%RL^T
zuIlWFW!2l4z?yTP<<x)pCAy4tOR{6JE~gL4+>iNR>sL0d)wty2#8dJfoaw!IvF|E;
zvbXSLyxxWpjE&6C&x6Z5ItIL%pw&3P82630L8j<X3sOj8txRhN#ceb7jN{D%e7FgO
zVJ~~CJ5O++L0_4zXV0Z2hK{j<5{bwOt*rgjpx{BS1f?V}bfHz8g35}7x+O0p-c0Rf
zc4`0q`x4!02(1x*Xw0b#Fw<2|H_Q3jwp;4n#mO-wz;2O46U&OQO(*WG)D`OqhmT-c
zfmpW-*l<AwXnEZ}$%(S@3B77l2vNCNB3cZYuK1-NYzQa_34y5{E9a+|%gcaHWv`m@
zTlhOeD1L0SQ%b==Jqr9mzW%$=H{Qphq7~Z|P!heKk<nF(8rbB(7xa-Uoa+y>2qQ?3
zl-}*$m!I9igOTCl$<0J{ROLJnP4-$IVV<~o7pl1An8T19<xleAt6*`I+jA?uk_p;P
z(Wt^_--y25WPnD(_c}yI>;_N#`p775nGZY>R=0?HsnGQrC&o8HA*zVFqhj+3_n!+5
zqVQdut~yKZx|KV>^}%j6LU+t{08jm=Do60RdF9zvG90Q)_FxE)9mYXcBzW(3OlEDV
z{5}9@z^A{x9R3HLI8reYHn(DmiaXGmB%t`Bb+jB^A-XWR#IQLLEn+fJ3+~e&KYjo#
zg8Vp<Ophx;GlG!(eNnJi!8bdRalu6|>dlDqGVkll6R-nwRKXSx+J5X0rno^E$k!V=
z;2C}8lji~C4()P2>Ui-i#ty<{|MvFQ)(d@9f=IvMX6Z_3037qZa(=+SYbtzxle1r_
z?HeyuESTuOZx#wp*y!k}xECWXp-&t2PKlvP{gV9H&we3RIjkN&T<i}IwsfuIChSfD
zcOKm6z<d`pt!n4zB98I?<a2~I`jKVSG#!WaY{rvrm;!MU3h9}1l}aB-gLtOow-M~#
zH+}EZK^S1?F0K@CF%H%`v-t#NDq4EMJjF>QYx4#$R23~)SpDK2EZ!$K1F&0Aq*>WT
z^HCDK2NOQW)!aYqdT)Kk80OsVNj=2r+vj|4u2+)c{XzD##utx8ugx=m6XZIH-LC|u
z2a{adsKv_dvtgiweu-Glc@Lzks;axPCNVbrA}Z2`|H`enW3LTxD1>6`Q34M03gf@_
zsx4y(xvR0Ad})-yHo=h`A;5pDYi;$l;BRT>`|~+r>H~6tX<I!pjRF&ky1f<!wy%S4
zKR%i>44(aDpkXCsykNhsxoN`*4?$bmp!r4jeFD**syBwrhL=(DefhrZ(u+{lpC-u0
z`uh6DMqQF#Pf>#4HUoLLstg97RsxeK{z1Qzhs}J?M3)l~?ahx{%qtuI1j#w5f>}+_
z6BCi2)I24%GcfHDq_wL-k7|{cHXRJdk<m<Bue-hc-l)x6aD)Z7pHqIgmQV?ar@>2(
zw!`u0kyvumix@7Q=AD~ZALrtI)ACcfXSWNCLv21MK;O(Yu?+skDf3HandkCq;ZRPU
zvk%nc)PMWf2EWwu_IZLF(P>;n83z2b1E*j|gTvkfu%(>vYi}`FO})OpZuI_S>p3b5
z*Tq2zZy~-kHy|`~^>3DZl17P*62)g+2pg$^5s39wW`Y2MV8DxPW}&B2I&S&d5Wrf!
zj@yval*f#;G~wE+C2s6oG!hS#@>6T7!)|Fr{vS<O8C6x+tv4MaEhW+*-Q6H9(jwj6
zttfFoKw4Tlq@}yNy95NJBo%4ty6e2(xM%Rk;c=*YubA_hPYegvmU0eu&M>s)dBVS&
z*1rlUSRY$*wQh=k1>r+J<FMmMpnJ1iAu5)|Hp#Mb{$;9EeEd!{)<+uYdb8l8w6mT5
z1%s`>{azo|ffv~9@cm8)-|tLjWo_Q4R!NpOxeJZkFP=PoIUGZ8rtCiM6S-ET_UC=W
zQq)G{RXOVj;LGkcw>M=WbZ%=PLO>f`R(91+iQENXzJeLs29ZP!{<h-(60cR`+|PYG
zW`1}2_3u?-Tt7E|XQfnL9l?^(WpXrln5Y5f!yIGbF*o8fkcp%MArZ13Z6fyFHv)`G
zIi|BNG)fEI^QkcVwR8?vRs)dZ#zWWumMw}@b^_3WtXN=m3b)tJX~{vw?VOQZQGRl4
zwriEV4$gDG|2`NX+`0&Ya;qre*<3)aNh}X?3Ezt?_q2%0F-%_iN?e%O(!U!E?y5PZ
z6E^W*iN)En30Au2Sd>%n=RrOoL=Uf53J34+{nQB?u-!J*O`E8-^^3Y{Ae+d~k+&{i
zJw!)<eb#Y4hc5=+3~w8d?2O$->PY%!;Z{Up@t_=7gAB|@7i#ptZBCzxi(U7>5;G}0
z)*zv?nNN;IvA0*0YQ$s6p{^-CUC4bq7QycIYf7IZDRsi8V`--kUn!WZO0lOHk9f^b
zTf^1jtcYB=Q~r*^V6&TeF42o<mZL_g1z@f|@4r%R3s`(HAey1?=EhRDfJaPQ%JH2n
z1r%a}JS>!>nY1Zf{Mr@3R97ck&s+WTzt7ES>oEpbZ3WC>!bnXpgH$mi&()d7JN4w~
z&D>gNPn3CQ5FU%ZH~t7=EYyr$iNH4q7`z3+;r!alIS~Jnc7qbCEu6+Yl3##{h=`0#
z6}RZ-WY3W~3{2-lCjg~*ak056%eF&xWxzU-t=3!Y{`WZ@R)c_mK$e^7E7cRK#xIr&
zV|TXh8`~PcyxV{qwmd_5Ssehe+uKFbv>Y&B8fpi9P43aaYd{W6#A1CBo?O5AR<uc^
z2lE%knM3^g^R>L$ceNOOXyA!$arj^Hu%@~D0Ujp!T&#THnC()KdohD()`?3<FFp2R
z4ll*bP?7<}U5c+a9u^3QaN)$bj{BN|kvMuNKJs%U3*69!#glBnby!+)9`nLLx*4pX
zf#RP0I?K{O`0s!?6$1Q@ojPENlv<!v%!w6G7q)SkfK$O9-mUkNh7Llek$#*m&aC^~
zLIJ3a5l#M@=;hn$5dwXxrM9;l`j&VO6(0Vnq6|Mtb}W!=Zyy{y2d>FYO~77iSg9bv
z?tNUt(*8hOUhb5FQt{MN7AXo!^@hINpnP#Vx~JT1Bnl_e*vmu(LJH{plZ6BqCTiqU
z<XPn0{C=s0oMcg6n)({a`ZzJG{z7;>8%VW8)b^+32tqrrUyGSSz)&Wm2Qm4%BrU(#
zZS8lmP`s~FA=$xY0lQ;0r=ZNta@_hnv+sq+CDRxB_k|&bG$Zc%!uIX6|IUSU&2E&V
zaeLq^jU#c(IZ}Q1*H7VH!46RGKO$yN-|j46`oKVlj4UHF+#SX>7%B<LQ1Bq5TY#cm
zE?3=1i{Lks0;0ol9A`<{ms%RL_ALYmZ0LUoK5!!Y;k&mE!Wk<+C+O^H=f)<e8q`%{
zsfHA>b*6|HH*)CNf|3<7)FUXG38amFOoGYx5j;Purp%i^joLil5{s3#`neZ5_dX7?
zy}2bDCUvQ=hsup<KM5ig1@|a{wiPZC6%3WC_%U8z>A7I0enyAOdN&Vc+xCrL!&2~Z
zCE5np<6Rl_3B|XZhKI+`vozQKd(j)M(qP}WI)V9o%VGP6x1|Y|iH}*`Q0oP?jyH=~
zM>u@e9~FAB&dGyhX9_Rr(x_BXkC>DI+l5l%?<N3hKBzoVB1oJoVSC=0JQTVYnr6!$
z``bxp`DagG-xn8hJtalt(MKXx8QQ6hI1ntmYkrp)dX@uSZJUX_(ggFb-R}(yRavj?
zJ?|EhOw0KCA<XqK$=4Q^DEF@FNK|$sKHvR1dpLc%|A|1nzGs8ZZ%c!?(el#e({JW<
zRDZCiodvHL*!iwMGQRXyJ(S29`NA<_CDANaN_12S(~0|Jf>fkmD!SAIDxk*3OHqpX
z{~dPTO@0UG<AuFA{+BOgWZ=EvfZ=Jy!*xZ+nSMuIWhF3F2d!NDMcW}jP>CDmcIefV
z+D^wsF66l9?^R}p9o5KUm(~V7K6$$AQFQ=mm21}NOu<k*kET9ROemrgaofUxe8v!J
zHc=a);*-=wvWu4w+1NOLiY9%&-O-XRmo<N?er@9v#(Xj(%@a2vigZgCijJ2yvuN{V
z^5c*rT~xuj??W!?yU#Z{xIToO{$A*=<OF7&uaG?<CD^&-Cn_;saWs?ei@Pjc1Cz2>
zGym4sB$+Iu=xJXG&WGLdvm`CJWJV?3{{ALlS7TQ<0s?d{9nvPU2nUY!o!dNZn>^dC
zML07Ca)rn<Fs!UUfU(QbY=z&MkXZSDXJ7QGTU#9IrRaqJ;f3GfOvP0fj^EMpq2Cv{
z-#C!J0L$_FzZ3U=f$HKOcqv_gd?(@>m7Ts1hiw;sn%R|IsPu`F=Q_K%dBqDOW!nLj
z#DO~n_$7X6o0bO<?5tgvU;pcZ?yGVzO%%9ntZc6*$yN!9Y+|P-x33rp55o*;?o+rK
zMYX}=L~_XMCVKNsdo~0Oz$N0|W>=&qzLYTJMZsu<@Y+&z6fOi9G*|N^_4@D0Ex2y-
z5}*{cI-l=Lv7g<Tx+V;GyGTw&ag>SV{0g6pg)b5#o8(tPYwkoYNU)ux4<M}%Cw<4+
z?{)ZBDw@@cC@{`I>>Rtp3PsIXnFwJ{ezdVw|0R&Qa>1@@5C%_waH?IYiK83hxSQqx
zwHRBZ9FQsYgQi4RSEvq!;eR*B_{;}-q{~C!!w=wqzuyNx{+FNp-)*8Cww{ht-gZ&q
zP8r|!8Q)G(-r?=EHr+43UA<cdKR^iK@6+|j%P0~|Dt`ltClFrFQYKokKq^GF|ALvO
zR$q;r&5(fr)!|_!-6VnYg2jFYl7A+w`H`JuFS!Kf784c$P=IV%rfZ6XJlPv*iZ>(9
zlWz%e^7!@Ub?WJLk%$#CAE<(aq-_mX-{g>W5He3_n={D_9i=Er^VrA(=g)mFK)SQ!
zC0kI`*07M!CD>Gd#`D{|3-p-QMv4tfePvaJGYr+Q9$`qfuR%Y|p1eri>j%oN&GyW?
zbHKx}O$Fy0FtSK4HZ!%ZlRcouf!z@F(PpZ97Aa$tQ5+HJ4S57W#M&(YLHL01i~!FS
z{A~cZ@Ro@A-^z1WYJHDz`=3SEtnuBf^ZmB-{rKVS_y*#o#NCVpU%$_u{_6FH#Qny0
z64<tIn?+FH-xm5`7d~8NJzNDFUj`F5TI`?*2?{1};=|l0xsqgTU@W+($;b$DS6B$y
ze!q}rWz~UYxWTFi_J<X*qhEsJZx6`LFF*%y;SQlAGh6z02}(N!=KK?>!W~SIdU4TX
zC@TuFO+xRWY&JxQ_8GEY$rBRu%)L}qGLR)SRb*Qzkv8UGDz#L^2iT^Bvr0@-o-$kg
zK0W}vvbz6yd+P(}m&7mhDGMfx8IfhE2sEeGuik$KywC$%6$DmxcB4#Xzh<#8<Zu-l
znfyArN`%)4-&vl)rD~E`J`(RGN?&ox)2#I&{PD5w$MPN|u_l}JpqaQ_CYe@A#yL%O
zM}^W}h8;Elhog(2vitv)xa2!KC*deZO2y9pH%sb-cW1^AXB~G-9bzY`tRwf}S&>41
za3{3Q{V(i>*YMw^yg&K`fAWWjm-7=I!l31rvB7SPuY#GN&`K2`sv=z|Qro_(Mw;zU
z28$mkaW_q#roB`woPj$)mJ5MS8y?m?Ws^Y1lb?{FVebg$DXdw?QqQpisVcRHQgcvD
z&|wfVRwp-Sl3KPb@bo3T1Pc0Oo};m~3)T^*18Z11jBAa$WaK@j@Wt&QQhyNYH1U7C
zbU@Kl=63i^yYxRNYyK7iQi5z03mc@YGLK78duj4(5lg2__*1OSsWv>%8A9q(gh)|j
z(njvUr44}R`1wLx;06@cqxUHS7CBE_UY)B%{*7+Fo&M=f>E2Vu2o)J&gXFn*_tW+6
z?!X=IGVPLuL^xmqe$sc=pFCQ7xCPea13-*oe7|L!2^iw8^I$KFync;A?RWLX|0;mv
z?oY-2A8?)YfJ@}z{rHH75iipgut~eH;*ZBe8pGu#pi+}ud_nM)nVPCI=64^F&->8X
zyl7AX`Z`)GF%BMP6LVXb?4^Ao{d=gu1V6BA9cRU#?D&9mcnkFgjX!r6tCUao<)1;4
z`7}8A`AW19jG7vHVG>Dgs;`hm(94En*WXPX{}?pP!$5ju>ewy&3js7}7ZH`ByTSZe
zuL!R~jmQT8BM_%|R5}#Q{p_8cE81H0Ung?Og=WwE28_k}nct#!i(eU=eXiU(`~@>q
z@)Mvn?|qfR8gO~KWHkXnyt@QXmnhW>+9vk?CkOMcasY;lspqVTMZ^hrZF#LnfhtuA
z%#SouQH1|@7-q3lXh093vGIAhS$$Xp#FkIsG|X~aQ1!pogmm=v9|f)ja2U3}!-D`^
zcYRCryA?h^61b=d@6I{jZWYDjp5o^5vlKJi{dlextSqmLacqnB?Rosr__#{uPRpnG
z+LKz!c>c`i`ej4}VNckMC;-3s-8;}-|D(yu1|r;mdSohyj>GEb-g{3|8EnMTwyY@m
zIpWu&Pc}qN-n%nVV4+TUR^+I|L-v}y)l%MtMNd@Gl1)_)Ex1;FXeS0}Fm?FX0k#mX
zdJx;(+>A--S?OQTLMY8U&=(dOD!#>64CZI4V(3=Gw$waNZGJ(oijlyy?b}od=WYxF
zp-f(#7Z^wgRy?KwgE%;=a){(nPv!g`7!QAGV+X5jXBK0vtZw!GyrFK+|E9tJ<~L=6
zd@dd&%B^63E&X|5L*8$r<94Luc5L-_?D&Cyqd4P@bZP-ixtc`k^Xs2GHCt3KJ!43X
z^(kE9L!0}yG)6%Dp=ddDzq@N=ZN0PY*FUJ7C=i_ajZ_aMn7be3aP}u-pbA{P6$6R)
z20jRe!_m}cph(PM`l7jUflktY%C=}+tLt>T$O+*`UYCX@J9+m*0-oi3{#;KVzv>Wp
z`tNtnP(skpa3UH7rmUl$Rd-+0wBz_JH>nz5*kBPU42_X(V1wyxsLMk#s=~<(_g)Y(
zZu9Q4Yx=yLZW5fkGorEF6pT!c9v1SY91LQCZ4dF4a~8M)PAlIqz#icB23*6ndUx>F
zfBX21A>e#)O81qDk$qX6pI~^4=ic0sbH`oe++M4o5|cR==jtiaV4^Hn)xP+|jnV9r
zClGqAud$rCv97M6v2nv3;2!h7O0)X|_qtI5GpOa|wyLZ&6Ql3)WNLsy-YaVLM^XEc
zI-Me-GVW=jhTh(ez}8JH7z%QzFwDQzM4mKCYb9bBar|+(!2M-#65q6!j~bI*x+|<G
zrK1v@(ybECe7^UgVmhbORCqssQUbii_OSEIOLQq26FyD^3xt3eE;_k6e57ib$=1{)
zC^Y8ZBYR#@fuFVlVbRKm!>tyPKnKZA7;6BIh2Qo1=E>8!MR2`+X#=waz<YT^3+n(0
zDOtBeS%Bo>2j5C5#Gg#jp;r#)Fosc^Z?RcdG#Oul51z|_wVJ6BU&_yj?a9%(DBst0
z-Rgwu<oo-jF&NeXP*G!e<G@44!^_E{Y?)%7@L$*!<l>f@Vu?UYn_oM}-46)?Y{tk1
zI=s0D_G#vC{hP&(J?Ba%PsK`X>0_E?dJyr&7!XH9dtOMk@{v24wKp_ev_6mGlR!ia
zEExT%073m}^WTPyC?Aqln&=cE?BwyNRr-De80~2zpPte$NsGsfS~ivYdrl_WX#0L0
zhZ-8u8?C63TyUvh&2mQj%0B5zgzEou0luZ+OlK!oCCMQOI{UxpYxALhHDf)U0cYG@
zIT%F=p0}*tIVD;8U%d6dpnI_5rEO1>zDDB}5O+eoY-m3#Grp-a7P(&qrqmDp&bR&6
z`jw|N7}U6UiafnuEm5KU$+c?XjWp5d&zyE{j?<jmZ6lk&;+iev3R6IPlwa*>$Ws!&
zjQ?txDDF0IsNAiVQUXHEfuORw!y8F5SV!slpI1Ef@jd%ccKO~@+FGeq63y2joo$g2
z59M^sX_y4Q!OEG;CQf6pz7SA-)b{rY%|J_iF82l?mAXka3#{mY^4bIG6aYgeeiL1O
zSU}WdY5JVmjwR75oe?q*)i=}Djb=EpGEr_>7GH3hgp;9UWq^F4rsY9Et)}izCXSxY
z$sqn(W(V&{=UQu<m*>y@W&rMy@6f;JL%e*rTYW%*9s2ButX_@3jdpfW+B#frX=rW5
zg1`nkuecqqfI301le)Cm?3ev{88~hstO0JqXP*RcomUH;$E!YiYsB8K6GvAmU|s-C
z0VR!w((0EvJqTS5l?uS48{R8mAT?W7^@MHf3`{c!b_m>Hc|8s=B`pF|Lar>S_1rj*
zbaQ#AdhYA%NDo{OBW=6^SDyL}eJ6k>t+&NueEHKnek#gF2toXX^+ORRq7;R;*Nwg<
zg>Qial!wQ6B4!qxJWI(UNi9O$SQsx6E#+uV9=MA@4M~OGyzDe%{@`I%1`ac@)z8Pr
z?zjRZOJ1m<%3zB_-$!ZmqIr*4a2)YZj4F2i>=;+Fj)2_PI)0E?4{j*&jE<Mlr<hZE
ztIeMFA3n5{L?m951-^#jK1J%7jeYy6Ihqyf-KV3Q#POjDd_Bv)LJnH}vAXJiDQEBK
ze&gDDH>dB6BBeHe=6}EApE+8DB*`OupSF6t?QUFhYQ_diyTR(G9|#~`(G%a*3tt+u
zf;CT1(_(O;qC+#k2_eVH5$mgW+KAlJAr=tTj8rHys^Ofh0Jd-}=az%bgTx1G3fhI&
z%Mb1czWV$6Z{IlA{9_fP_&}cYgN`-K91lN67M+A#&4K6zzAUC<5HjLlSRiZF{V{DQ
zV{9i9!e(-eAS(u4Xzw5+RZZkRsdJ5o>fy`%5&c6qKmS(OmK0K)jfLh9x8nY<SDWwt
zwClgFSXpQ<EMgqbe-5o-MOF%NB?x_rzDtx>!hke#_s&}~shse55CDSf!4a<42GIX@
z9abZ3T5Bt-f|=jSW&c_z4rNJEY`7|utFfLaa3}xL`<FNsrZcRTM~gA+5T-~CR3^Q>
zz1zILkAk~FB}Hy6j*d7ngMG;-%cPaVTaBJ>n^uC4DOd3K6d)>P+5|`^!<Eg=!hC#B
zJ~(&TOE){DS`}+8Ho02^C}nq+p3dPlU{lV_?Ef}Sj(g)#R<vkf-xmo}#E{Dp0;!Q-
zXE%f>zbO?*897T!OLsp?Ei>%|(~T^lOL)H<EpqUq%6wob{`vf8!1aW)Zo!)qc(^}&
z@M}Zx|NEng@^%dkI!bD2-8x|xSPzdMvXGOLgOXHO1xUzxS!Ix)&<q*Q{ss4}a7J|E
zPN=^0AI5MPFNB#7ivj5wB#|#{`s2iYGUwB53yAHbbK-p@j3MxD3E^ona56D5$(^{=
zHJh2*zi7^+I_R}r0?0TrR*LNIC(|Dw_0}7=-KYYHR|ra^C?iT@Id~N~zbaTa6=`(X
z1eI6sd~_&kM0QdfJf2+tM%f+z=x(pR3N+%N<}|+L&PxFLT6Dx7PLLh;lVgqMbBanK
zh!y!rm7JPt$JQi^5Q&srh{>Y%6gS^vFoy)po|~Qc)7o}V6$FW8czNKTcqcL4IlmAT
zXf$dXkEG6t4?PeFjW-Py6dC~p7jk$*Wb^X-^d_|}YHuxPor^bvg-Yn?G&N+?D<jKD
zO-*fT-XvVnO?fpa-+s66`~b?AkwS^P-vCqbO+QUZNm+7gdBt=FuLvzUJ}k&_aIQ~-
z7=|@L73R9X-YY!jz}1eFf+D)*O9s9kEw1#xJ6yaVEwV;bI+M8MY)Lzl^skeAny5MI
z9v%p?6Z=T>1hT-77Y7T=z)7lc=OuF@4UGz3_HpUiJr+YyZ`qX<C+B2SEvhKqtX*Ak
zV!P7gPhvPwV<JsHo226RH$+fys(>uBS~?GvqelXdnJ13{>Y`Bl-+fupn(-~~oH}t3
zRRxHY?}J5`>cL?5*^Yq$Fi}xpLWpS+iq}nj2}zq3VL^1?V~O8q5+h5Q2^%@3j%|a^
zuig7yTIMs849($CSczaQp_Da>l>-QRxFbGnQB-IQkJUJT-$sSr4TK=p+$j$H_PT&?
z8kk6nWHpJdhGf@ky=W<|=Z%+&SKwfQiKois%RmP{4kT|15gvek;NQbt$HT=N|Fbug
zmz`+hS3|1W%!$RtAe8`g;~oF<IUN7}!DlB1>`9=Pkq&Ll?5^KGlRkExgcL*6(e;?5
zksSk(q2K}xlN^m+EP99X<~s_Ah&3SZ5h~$nN?2GJQ1iWF?9^r?tWVrGS$H98_?j^|
zppTFXO)+y=xZOiWoi2#ViGZhW4niNq`bdhZM&cR#yK>NinMMWldXjPP*oITR(3sHo
z$?@PQsx~ZMgF@J2&~teq39~E7geve=Y=9B2C`HJ6z2g%5J?}><HR-fb$V~Zuy5(~x
zi5rdUTqZHb7hD<;Zd|KBAUFFL+AEEsRZG;Sb9o|NA+Y${z>MRyboXl{JT?xF`905x
zQ=NSb$fbrriK#!?QrDDZaat)yOGQYHt=5hk>v8zgh!_MVs#>mG+_KoISBW2!Vq#*B
z5I6tut|6>}wRsqTgeHEPGI6{4Tmr1pl;q^bvpIc<e>phx)5UMZ3T!j$x}KV|#t*>`
z_9`ptXrvWcvAH;LNnhv|v6i=V+r1=AWilz>WMaTf;>F5c+D{tUV)0?$c_9vW%Aj5F
zqiQi6{A7Vgg_dY4h1!;GZqqXQarWg(-z#(k7o{vp5K4xcjvheA_4ucZtj9NDQT|^@
zj*P#U2;(llEBTv98XO@;KNHz*KJa+@lsE5}B`zeHD!S|O<GWUqL3BI^JH;m1=0c_k
zW<7|yE_+D=a=Z&ISw6F;=kRkX)R8^?r*{hSL(Mv$)1@bZ*b1+fGGgo}o&rzigo>$>
z_bSZ>NMiC}3(B5%jDK}|;&8rP+6^DbsrQD(z#v4cGQAf@-m5Fe#}SHYN($i9_^!SZ
z!5`$b0TgC`C)wo`K59K3d*dL6k(LD(&YxkWiq(tBKQCWMm}BUqV_GHev_maK`FV2V
zYTRgiHBte8Oa)5M_GEZLh7`ugL;t`42;g17@cxbht7CV%s--W(r}}73Hf|`bGE|R;
z0PT=7B2L3t`Exyg`hNbGy|uuotb!S-_SA4o0a4QAow}T}!G-wz+$*u7qc1CXIMW6r
z3)=oJR@;mA6>Z6H5TK=cFy~#|Ir;aPj(sR5^rvfjgim6SJArKM+~U{JE?secB6Mse
zr2fEY3=E9IDZ4u13~c>d&^TA$C6a&6i&VJmv6)ziH!M*a7La`WhfH>|TCQ-nS)D6m
zKsZh-cK2l3&aP0u*~`Pi0=Q}9PB4ITa6NdufJYV|pPe#AIfP5QUK&zzC$+(b_%-=w
zgtkA$@yhUHVi2X)53xaNCbeOlf3}`^dE^+fmPbcNJN@%cS7HCcLWo)C$MQuHi3yUn
zvax!^^Jvif$Kva;a_880iZ0}6c<P_PoIzWhtwk!Y2?-WzldIrv%axHI1J%k!b4PL8
z%QK*la6-0k_&#(w1#6e&*I^GOyi1Bmev~5G2*_BYg_#_|(x$fM1x?vn^XN6%s-E<d
za(U$Qqmtm34GMmu9|70|Vq(iq4fzS7Ho9}2ot@wkPpuTCp`pQ>OgVlF(M-Z{MdHf6
zLW{tcmK;|v!WfC1O0}33)p*y*zwdeKh-;{qgfyh`&`gFa(5j)f?w?$`ZX+jK2~T1%
z*vQHM;3;9D(jIe+%&Sa+W>}1B+y}rq_j34G3_tGZ=umySA7M<KY7{4!l8~+!zA8XR
zfZ>Kw#R(^@=_K=Og<{24$X+8>BV5B2kby-p0ohTgATMuTUFNsoX;Q&iIcx~lxXZmD
z5c!MV*>^x_V#}@Zr@8uk{izf#j0j75Oj(9M>4cnNY1%1NOa2F@Akr||RQA@EGDZ+8
zO6Y=gj*Dpp#g~62JB@+1YpE*qSH^VUfxYv|uAlsc9<U@mhDVY^NB7*E@hh;pEyh2a
zPy%V<XYZxaWt8(Zz&Ckr9tGjrhiqNdT0j4qEB_hDO17^xbu}i?t=HY&R%(~*17?te
z0~Vg+5<eDg<p_<AAkPxDiLGqp&bMN%Kh^281yW3By#%VfWRI7P=_OG+No!M_qK!e&
zO;Q35UHX$UPh4bFbTsJ*rVzSXR8lepSj?Pn1mch;vRwShYrUaUagwd{_z2#J!J~w*
ztEuIsdPDrzu|e=p#B;7S0wc!8au8gx1T0u^6_{i60*cXj!KN_P!=t4^;xkv?xK^Xc
z{DV62m^w(qjsW!<6%EaIbrmI}IMMPKKWDr`E@tfa%-CD-&e#W1<>lmnHN|m0d)%<~
zv<$M0)Z|E-REVsvE&H{u6c!9u0qHz1I8W1H>v5C$Bq<4rV2NJWm5Wl`kpsr;gya{Q
z7~ml{XU7-KPV>^*;V~J6%Z94_u{8P%(D7Sph~xCQczMlT+!ZJKiB^}S8tUnhk&!J1
zW$b*U($Uic9$EIZkyT3hZU=WMsi~=HX)I^a+I@es^}ITXP53X5@MX%%Mg7QGN5G$|
zW@X8mc$-wpkl<k0@T11D2*U&+q-D;fzaBUjZ;1^(mbJf|$-4huHn!CpF4bM2M*GF2
z`P{_*Krvs7JZg2<lEFbZFF~eP3PI8!NIGwx0tu!V8=%L{?)_~~mt0y3D}dVobI2_>
zK3JN%YJ~tFAD<s53?b_%Fnh`dz`pEkY)oKEt7kv0KxoU0n_|m}+KEAeXdXETGp>)u
zMTa49{wNK%3~dCncDY>B)H-XL2`sLRku6Y!vTMFCb6g@IAc!1OU@FwMd%>WPUz^L!
z^hCCiOc#}QIu*fg601wb(RH86{6mOHG>@pLPZx(FBVp)ZH+tw=WUXC<kA;ikud2{S
z^8xJq@6#RxkWezZLiUrPfMbJvji$}w$6V@!8G^3AcBLPM;*#P~55-4#PJWxU1NW?|
zva*58eK-Ap=Q1$XYWtTQChUxkDonGYsr`!bNYvTP>{ls&>){O;umm5>h;%<^*7`h#
zLC{;7I-+qQC|NVGz3rB$6znc8EWEgPr{^d&GDxm<#v4HbLmQ`g`dc#763q*g-zn|{
z?3vFq-+f(n!jX9?vUwb?XPF&V`FR0FY@Muc1(Ef~IpBiur&&KY?FnmZAe*~#*`Tbl
z7H7hIg=m4EWNT7D!?eSci_P@GLc-j^#-&oP%;@;_bNGQG`W(Cn7tgN=;g%or67=@K
zskQH=S*(SN?3%&$m2SE{68CZc<AN@J7&ZD>=v^GCNuWtlm{2x~`8We%RfJS;KtO;}
zK7L3JZXnmT;P{pb(Vzu4pkdkbr==(hgwx1)kjtaHTD<2=dufhrsETU~@R0<J^t58F
zZ={VaH470{yuW%qSAK70&wn(wV+)W(nOoN0B;KIX`Rup^%twQ}l??J8L&vt*j~^R~
z6TAmO?mzxA&(OpnXOjkgr{dEi*Iw*$Q)S6l%Ad9zE_-Lhm~Ule^>5nz^+-jkpK6L{
z><QsK)YTn7wdS-`5Au5^ZU^4CIW>I#(rXs|zOZ=4(z7s|%+Ltv$iRuM#cat9ul8(V
z+cfrFg2cXv1u-pixD$^LmTRnSY<870j!|)uyG~Br7DTG#MRmVNy~B-ln_MCg^CQIm
zH`)booSXYp7fESptev0LrRd5CsGn<wa1kU4xbtu`V)8+J2J6R#V$6_Y4^y8aJvO2U
zP?7djaDr<VT(nh+ufS0hkuz%tj{MP!yRA%A2!K)Vsq%kK8$c$JDIn}vDS!q)DF8CC
zgJxWPpC$)d=S|@jbzWa3<iv7ik7ebMEhW9tAkJ_X7Zhx4&$zk06{WG_*5z@`n~9wh
z&a_G`Fa_ROM3=-_gOzU&jaK~~>SuTI42ES)xT&57lAm)kSaL7CEYil6hXK{4xsb;U
zFUQ`ivII9%(*ULp(p1dGNpy&O@E5Y4J#QXtqa<M2fZ;1(q&YfF@}1i!L^6)_nl?-)
zXbYDHXhUmcmQ~!qLK|e*q+IQn?;)y%h$4-D)sC52j&wj1qX@bA6$@@MmBKe@X!dof
zJ2x^Gx^p_kwP2gGFsuWA_rjUuEblWPaev(>xN|zXx>KeSWj83xqWerpuV0UU__}+O
zt4>G{?!*)==EVG6Nyl;l<uf(=k1UGyaR^l7X)QFF$5gaq30l<^rS-gQOe~2?K-;hz
z{NKt?5AKDjHZH=mF@asOgXa6;BWjkg*l-O-C|By=vjH&B$=so)0m-%OL7_;5(Hp#m
zd<k)9olg=FH~9%j{|Pcd@tU>vf^R+Luh^dyGB4Hfj@Hn#+8qB)kI2?y-e2v=61%I_
zm@-&0e!8l?*<^4p%kh3{i_^YBInJw08(fP~lMaIp@;Vx^h*sQWmA6<C+##Ex?Ov?k
z%l80VGiogV@a%o1TW{5OO(VsdvhY7ow0fq>&9u{+eN*-|{(aX}HT<w&cXi9LrNo#Y
z3Mpiq`I;3W1nhnZ*LGN1sh2X-lL6ei?>4-l=-Sb}AM5@EC^OW6XB+V#nw93)p^D73
zpW#_i{T)f8N_xQ3P_COOU!xfKVYSDmyxivqi9q>FdmXFpK=J}%gulw*`zs#19U1|e
zBmt$#<AQ=}kaG!4@N(xfV~(UZGd~<$rFC4T+0``zir_(4NwWDswAk%Y59oANDg7?j
zUwp#u`_l*im2=~INR-iHe>}+%#+xTf#f6#g?FyKLnfJ^na6=ghf6j(fyn>w3dpv~4
zNHmqM+Hs%|Q;V7fjbdI-PPP4urG5Si?^urwxoz*K5NSXr$tb{w4bQmezXUn(x0Ixc
zRV~h2ZT~~`q+wrvIXmZMV^gHVIzBpT!M!gSAd#U0!ZeM)ZC*v0+1eJbpN0(bT9PT^
zQz1m~vZAJNeR7yqScIu9ebi*B^J%ZELT$wjgott@&zF$ae^#cuQ_0Xxa<c9aUwYBG
zr8QQn4FW}5#Jc0s0WEqh{jrXzy_mR=_{7N19}L9~fW~a!u;g>*(uZChZGztZD{3+K
z08@gx7oa`t_O4NLWO$GQf{1&CS!}c*)7nWHwdr0rNm_DpGEXF+&>7eN;ikgQF1Am2
zLME%rQId~f$1JVz<+0}A_qFcfSd`u$TWwP#s-XGM5x)d;f|K|x@~2PJva(ip>(YtA
z_}b0QE%!~8w<6YMP)T@xK0URJOwveZ)ERXk&9-gHGsPg6pW4M*N=%lzM0mlb$wL<9
zP1|Hk^<hQuUacfbj#fKO00h8|DKlsSS>!LDZpLuCI^e~E-NUKU4Lk~f*B!AHjs?6|
zk6`hobx<lnzKk4`OO<E)t}blYsuebnWVyfGauG*v7mo{=^s<3E#;H}K_s!coKSHN%
z8LC6*G<u)OMEXuY4V`PICr5Em8zb(+N5VsRL4y=V{Wxr)T>U)2XZ6slWsl(Z$kvI2
z*H`+*;7Z3AwfD)G??y->JC#Jnt%~%2pS|DrS~Bo;Xqc%=jz*hNP8f6HAN1Pxt4bfs
ztQ&vOFkRw*5gJ*_k-^$nD7IHsib`Qz%)Uy7U(cI<3il*>{Fv|Ctaizhkes>HCZ}=<
zvCa>&NQByETZF*w9}!A67H^FkQ&CoS__qj37o$e4lG&%ut?EiwpiOqpov#j4fInk|
zGEaj<y^`7HO!T#d79EgVia6Qn!~GJsU$?;ZUK9_5nma|=;6+4euyl?Z<KN|$H|TgF
z)X<N5-=<S@fh1ta68~IvPR|$lnUZvNWH4~A0|r$80l)tcX*iea9V5Q(7B>|XBVr^W
z%9IJpLbcYVm5xjGGAuVuz<!A9+<@%>sSngj)YhpA_KQF2(M?I}mmJxznPxfUSg^0s
zX&y&HC>snmh^&9Kac6VM-u3kCJ-!59+pI))My|TfFLK-`KR+YFAG3AO`fU5ryiRW!
zOMOc&7mrQMlv9u>fe=A{n3KySM3*9J>8{<_sZI~@Grkn(P(k4E4Gxx;7;R!5s8i{x
z;iHYa{909$lKDf3*W-#P#>F!RP+Wg|fYML~9JPXfw)V9@d$8ZXGDy??)x}+Kb0>~R
z|78!9;4I3*8Ta%4ck|%+a<v=5`Ap#1p254GIgp&4A?jVddPqxSUJ9m$FA~U1_r-|<
zxUjQBYrkVbX0Pf%77MgiJN+|R@Z1kY#nfC^M+c7cogu2yz}6M9>X;CD)pl-es%qA}
zS3rfH=^R&Yn+oPhTRwK)-nzw-_H1=@RO3y1WT597**TrHI}5k{>_{CN3bM@5k@MDT
zX^>?=fTGn88O&q+A`Amg8D0?)`-aa5&&v}~ViBex3<w`9pW2KZK^Z?(5>^%RKo(gA
z4qP!Z<TA1|UF!Vz{K)wG;vBV6)LRLlIRK@dD~bx8lin1Nk7uYDM3^pliDz*TMYujb
z0wqQ^D~khUOZO~?6t}#9xhJV%`M^@=J3VIL+6nzr5N_=wzIyzLSW-jqNt}I*Bvrs%
zbyM5ONWG)6Wicbhm$b%QJIs7r7ud{eA-pcR-}tiX2?j-A0he<oS+@Ot<-EB2+QA4P
zN!+w#df)3ag&4RAuX7jxzLAptn{gnAK3L6ctda|>obQVUSrLSOtR-^67#@U6OH0e~
zgQ3Bd_CQ<WFZ$CM(JpNn_V46Sa?%)MX~Aq&AG^6bXw|Mzr2&S4i#!ISr5Y?ECJoog
zn>wal3RTW+DO_3xTH)6Q$u5~TW#+k4)vPj+V)99NI_W`lG}2Vak@3G@6<~c&vbAA(
zJdFZ-{8JK43|1#n6X-jhabXxBM09wfDm+%k<8}%(MS>7Bbm=pPES$i#QkXRknC)}<
zku?~<%6`<?&jTo}TvB1-v~^)YcjEN>FLTIZ5El}jQ}fq-`{}I!+2fJwKq|(d(~s|m
zG$_8sK!(~y@u?cQncQv#$gr881Yd|`es=gj&;lGfUS{NbyR0<ABON&;)O=ro6_*#&
z2Q2G|g4U=w-Aq}g099X5R{|U+U${k*-+4{e>>fyS5D^!@|MsTs51X_1$SZ+mkL}G0
zpDh+RffwhQ@OKA(_okm`^TrQzU`97Ca@gwA{vTng;=}UZuL00B>~&0mnjwPX{ccWd
zEZ)55Ve?-3hl8e_Qu%jhCB}CWAm#$@&jr^Ieui_Y`gSB9uJ+1X4hCasKVd(+9<>%f
z?V-E}jrHTlkK4BSDz1(`Nwfmbpc)Fh7hY@M=s?R`Pd73$0#<xl`KMH@93d)~JYE~@
zpE8N2e$SN@6RNskp#`RhCaFy*v|7U_qN+ea0`|R#*WY(tMtlI<)yQ4KCUHrKOUiYS
zDRh9MLa3I}r>c%GH5#<OfvY*=A=Y=*7${|`e#ND1RIf%yVsH7lLA;LweZq-f30D1l
zk)D#C?$dSP-?3_JXy|G9cFcv15Yu(Kam<rGYHd%AtC%--x|gJfdSoO8-y0K3-aUB6
zhJ}UYuy$>_r7(p_-M1$^Kfl##mn<BaC98%dWL`QEQ7&fj#w)W<da1f}ucE_9X~BVi
zLn{@Wb<BzEvov7<cICth8+1(v1=0OEefU?<yfqyuF#jR^xIo^F{SB7?My3I6!6Xsg
za+P%CLKRESz5b7@8a6VymXYVF)E@E_X7rVw3v7hh3=R72aSgcOzrg@SuMFW$aouzn
zXo-kbRg8wlV=>;KxsLlFhtRC;MS7IgX@o<*V;e~&PaFD!f?kb*fy=`Y&co4^Jf-1N
zjGoFV8`10C+^mP&onYKOe`4SjYXlZbMb=LnUJ4%|m;tP3FeAS^Z|Lw%xh4ml%5n=>
z#8F-?&+JW0#p=LGW5E7)$+6*?=({7ho@_w;yox7d`?+f7?drpwG4$@DWz~1P3!YNG
z>N@bum7fIy!evVEZNM1IdVo{(>MDHqZQ}*((8`tIN5kHf13!pQ7MhQ9Oeqg$8pDDr
zQ@-u`g;xdQ=@h+eo!1sxlS}s>6=bPmL<5LAz&bAr@^o0Sv9MZW4ppx2#PRWJNOmPp
zL+1=}aS2_aSz=M=Vjz)djW#HmEzrJRWY2LC$+XcFr+NxODcdUZ7o;^~9_K&I3Uv&8
zjmiT`kf?istpk`id=*heWqJuA5|A$mE-V|f5?w^gsgAwXVOaiGYm&!jt3l5*_%zlM
zwv8IG*z(C8+?Opsy*7kG&BuvmK(S#}Ffn47YZh2NC=Z1wBX~tBJvs^Jj2}v`)28p|
zjLgZ&d3nFF3|7f*a{@Q})~kFCP~Z0S^i+{{R9Al`q8$6CGW225lzWU0vMBx%e9wDe
zqVsP^*;92>Yed@@Nrocxj)t)Kb>gY7y6qn=-C`CKX_07mV9h+xwhJsWIn2_eXsJwD
z0z<DrU5Q>oBWC6ef!Mvn8`nf#0!(q45L`t}U+HdLTVAq`Q;`lZcj^&(m;qEjk%LC_
z!<DwCN=4NF=K|>Mf#TX1kRK%89j#pt0pM~w%~{;_mrSwNHQ3%hBWw*=I5=Qopi#VA
zbAC8?h8N&K0zZZ$ez~@#AbeA{dR+#bng^Kwf&byaXG#gj?hh-cnZULiM9aXra2F}s
z7a(l|n6WCg?K?V)>=y%N3pk$K!M`Ny`g@@f@GX#2{|8?+@NtXwn>WsFXLCKDa1KFo
zG|%78*NOmIcMt=<C)R)NmDYG^Uv3nKx)xn&Bv95hGii{%fFv<JLT#f^162Z?O?i#h
z0ALXDA(DO`9m17{B*_N}Jo;y$ScorRy3k6TSmyiQ+4Ws}LY#Z1QvUlk3J717R9zom
z#Ih|*n3dK<Z!dI<d{@GFzEfM?z76=;w6^}-_u3Jru2Qc5VIDXViQ5NjnVUL~kFV?i
zeVM#y^Q20lIzFw2@*`B<<Q(Z7!V9m(qxO*FFA8`hMe?i{76sLjyJ2SPd>We=wPb>m
zeBTUf^omprytleRk_RZ$<o34=YJWjolbDUDK8v0}mki*S(4v{&E<u6cXr)st>?h=S
zQD3T}cvqt;h7_E~aOqzMg<d+0yCyXY>AEja?c9bNY5?dB7{qc{B)WKl5?dt0xP(ni
z4yLRAB?rfdfV5sWf8^Qf@Q$78GcmirK(5Eb`%yvRhgR#u-C<Trid65-VaEfQx*I;F
zBqMtd?iBBN!?$H`EBtp~Pzt;L>IK-eD(DKp5i#&FU*q@Pq5lK?Oh|KT{+;uQ;<{g;
z-4z@ahQDW^cYQ2IuFIbDV!-Mg#I1^s!JdBw;))UI2yUF9Oze|81-g=VyE⁣<i_g
zqu>5?>3J;h)8*riH|6!@r-P1%`?{etZ?t+E03}uS?OxoNl3;QpIpVIp59UC07)ltU
z+xTW98%|eU^jr{n!fH6W2=F>^i9Bt*9Frq&F)yrF%ev=PcUb1>btieAxidC47Hle5
zH~m@O>vhe(m%d$mEgcO;;f`Q0H*zX0rp(f)ET_&$Pw(6Op6f^6rTR}HAt9eWRUl?P
z!W$bM1w5*amv;p*v0b6DOJjwSJ2?})kK8G6$sNV6p60&+a9WQm`RYY}f}VY^2Y(uf
zO?S;I9K(GJ_Pm<dr2Xwzi=Zbwl0l@5Y$Z7=I!I;cmDZ2Vnl*~Gybf1<gYC~+mJdLP
z&fjvazQ2sDn>nBJ=t(?_MjQTdOY)~ZBO#g8D`c{eMEzs!qgz<X$jdYh!;-XjqzN#U
z<=&LR!hm>T-$V28T#-(xz$}Dhq}uD?r_jen?u!UnA)D}W%N?X@-pax9NL_ZMKNaHQ
zAK#7f&C^ky1O@StMfJbwxPA>a-kmSa>mS;eP8|I85O$TkKWI5Lsxh2@H(O$K79!BP
z9)L#C2%N<Ehkbm(fqw_5?*k@=Rn0<VzP`EN(MQVB(a}!#%?YGV_ysYev;yjdW{H~`
ziJQOH5;vVlIDjkKcs9Dd8o(y+CZzJiOh#Qs1~bZ9`K_LF&nF8ALO>gT$<)I;W;!mk
z1EQS4S^Gtm_I*U$m=!{7JROWsv(S+NDOl1r0x764A8o+1ugz$}b6GC8>L&)@giVX`
zV8E^n&zc`y9>a^|!my%&2W(`Rt0)oPd;^o4;l=R)<%Otoc^eV-zO#J;&>muw3s%-G
z8nEQ&C1mbgwQ~e<zS2aW+V@iZ-p#)y{C&y*G5gabt=zH!!ut@*VP%VJ?S`diPoIKm
z5ePC3Co!*gbmk|PWB<Z~mCIH}({LiE#UJRyV5it(YxQCAUxKA2+WFzCaj{l;EB4&4
zUtf1ivBI0$u60-=aUj$|Q=O_Vi7Bg^8f~8?JpB!H>!}m7?5y7o)}-mK+=MVhwG*uj
zf0IqmZ@*lK1PYZEez*a!0!RtPe>F>)k8{_s_2CW0wI$dz#s+FJeeWd3nP*Onjg5^m
za**z}TK^<*Ynq;NIsUf&^o@!i*kQk5z5m&!s=znpF?biZw>uIYdG<aOt#J0h8kz)2
z$U2;$aRFYd{RUk11pQrUgR><YCT=-oe0rX)xNKhnKbz}?2|sQ0V-WZDuyS}u;Sl`n
zha0?+BBJF#N2jVs#|`xpLdSuy!eF442n)j)aK-9T@bH)z?(CGTOaEv!@x+FT@ZF?3
z69gfmPD`iMdC!G{?YOt}_LHfgfWSO>{;U`Igc`pCUn#Rl7yQMfQBnvvve=bvPpcl3
zxq6uqgrQ~+^^;OD&G61=V)h(W4N#QSU5`!veZhqsfzF1Wn`B>iqa^lzBTB%@Zw#@_
z6EMg@kEc?&ddQM5t=NfWW;GR%DBjdc9)|v;I)>o+FFoq|m{TWyN9L_}y|uVBE45=k
z$78to!KdW=P<{`Rw%TS+pGT5>I48bM)IR02XUn)zVl)7?NU`xmPMR;h;8U6$Q>&nq
zJ-!QqkRZYgzc4CEgrqU8rEez+EKLq1>F(uqH2nyYJS%+P3T&B$BRc)0yS1h4_XVTP
zWt8ln+a+m<sTv|BS`;VEKOd|sGu6?<mqw>1F^}FzP|BAP;93tJ4FmsBG!E~fmwsED
zg;{>WelAu=-ePC(?|u<`nSxGP02u!P$Lxo;i<K6uPJp(9TN;860FSz6MfNi&nClv?
z04?J9Be-Y!arhsw9faaOL<g~jSn8&`Bk>|tV@2knn%Fb624e=8ov!eXIq;_?AMA8i
zmx81I(Xmzq1z}`pPJRAgO#P4iYKhO77l&nB$gSD(nZv&p7Z*Rb`V)|?Js8YiTTre>
zs+r*V%#w=799C2&ZG_@Wiq1_MWQ*k^__{1g7!fGa-+>AA*|TksL1tg(CszBEGkZPZ
zQ~#%0`C{(c?Nrm_A5~zYe6Hj?b1J1IBqp}+y)qQsJYD_N6=X|CnsyOowEufiQ*tL6
zgG@k|oCI|x(j&=X!W5%nlCV(yU%C2>gkaW9jJu~d|0cRLYUAjPwx{Q5ehf#xmQso&
zsoR7wb(tX)`V~~_ut;1@eon>FPU}aCi=}z7y4kD+^zPdW^=+KyU)R!+KB12a)f;}b
z{EED$&muraZ7QZtsK~S&bMm!**`KED1BhdHloD{}C5p<3D$=Q#kLuSvzNL^Xdk>)6
zsL!9B!$!2EyXgy;_WN<h<tf0RWdH}>o=4k0-9z`A_^{#*gys?_gS4MTPX;55Z_Ob1
z5gSOgmfo@P>`-v8L-dX1&&A8s!KtJl0cEn)ni%?#$_zau?v3o$QF^KvCX)Ct0xBpG
zi^ExlXkaSf7I3B9oR3++)UWY;(LO3y-f$j8z%1`&$N(t~%r^C=KcZO64lw)dMVbKV
zyjQvBi9=t*6OvS|Jl&V4wM2O$iCS5KuM@x7@#NCVqp|0VFQH3i5i~8zu}O_+^pB?D
zeL2|FaeWodf^G1YW+nLR{Z{J-83)ZSqLMKyO{O~A8^ZzmgU?w8vTXX)j}m6$Y*qEi
zJ;;!ZL$J{ZEEx%@ad^?bb5~<g5lHH4@Sq|y;_^C$;9s2PX)%M$HmjQ7+irkYqQel+
zl&JLd9cCm~8DB<bb`AD)%02JY=GxktflGE39qRPALpEz~!lfgzQMS$^7gW;Szefk0
zSj+h@KAHMs+@Q)LvJvwnFsBtgq1M6yn}fwC`pskMP|(pJ1M6enF#~oG^*ar?jV;U3
zX@raQ8528TBAIlv9IH{US5~{LJ4_(@gvQb%%OV>Rt6dUJn|-xp@4!+S8JwD3Q93(2
zpm$_11D_{E8G)UQT3N6=w|C}exjMu5@f@_sZ*;J?Z@ob$Eyl&gB_`$zbX)g8g7i!@
zUg7~Bz&tU_Jm@)bKy!GZ%0yFUINH#Q?Z5`_iz2#6o|2JiD2WNJ?z=w<Agold3(?|l
zBadJ$VCjQTf9F1V5sXU#%s*=NG77-CC9`u0n*alI2r28JOw{mdF{Jk7sl-gG?9@~W
z3?oY}9IYQWndCTapQATRazlMI%wnzEGb_u}tFVcSH6V>V5UJJ;-Y0xPV9#@6<tM;c
zMKy6KVK8|M#{6#1pS60ZcYdp$hGmLMn0&@q(`14W#-^B3L};S2L?4y)w{l*R7&;;@
z4P@LD2HYAHDwkF1PInK3rJ&wdYy9t@K#<08VqzkA?y|A6I+|DH9-7L!e;3F+Uy)>Q
zY<cC+{Fcs{JiO39itF>P)sz)+;QSg|D5lUd7xQYEyvfVQM>K6ryx+Tle+kVk`IiE^
zaIl_D(E1)4Dry}1EsCT}ot~qmWpL<P%D<@hXRr;yB|v`PBwdsa1;EU_=e#xr<nav+
z<Q{`3SFg5O_hX;r+SlZ&_76vz2-KNpBQw5f=^h=$n2+iq=BO4PP9zLl<Lv1CNKo>*
zZhhYDVOcIqM!GxE3UIrQKgv^hZ^9d*i_N;$V|X(SV3(OK!-e3$&_llqpzgdm08Ora
z*8RW2&(A~vP;-Zsso#zbZSU-SXj@5n1ACt3!|hi&=kE9NZ|58h93i0qJ`L@M#xHt_
zMPj7|Xn2RDZMlo`wCaSp0b$41v2_fC2Bh%b53gut?#P1VJ<AzlGTJ}|eZBax*JLj&
z24lJvT$bJ>1&3M)CMwzbhys6QgU3!JA&yH)mQOH)LHBv~TSJM7X1Xf-hi(#jYK(%j
zRb8c1!v}{d0>v$~=7YjoImyS+U@a;`=vkhlzHpzVz7Elbk}aYdIwn<ACtrZ%$5DIc
zd3xV&c3^>8SWwV=OC6$yS8Y!y%pD&$M$tfSM(X$NiCNa)_SbceBJ5S9l$5IZ8YLm?
z%}yIB3_n~cq{Oo*NlC+cP&oXKBX+i#%d{i@$df`Z@L$Xi-1olv)%wGY74XXJ`0Cx>
zbz;qEXUh;W&KbRHl;2)gu{JaNs>Ybk1mOu->QrR7Zczh3<+sVUHG|#9SgM3x^kkj)
z+|q*7TbrAkNrNc#UqSN;2%So`32)Bg3{0~Pjdo8@N}Jw>vYqR$Oq$A;qbuQw?GXr&
zM(G@k4#!&M#DG~5ha~7+3Urds;ayAx@0xS_)%Lp+;*QI{C~o78^hWnpskS}C!)sth
zzv#f<aaQJh2f|uVVE~iZiOWEOXs+QP8$4#IFlr$2w7|CguO&x>Jbw?ifu%zLWpYr^
zjASohje=lVExTDyLqPBd=PJ};by{r~<67pR1n-Cb8<mEfre$-twjRr?P#x}%)xSjw
zWK4=splpxlA=QaWmSe5dH2H)ynS5v~oLK!NaX#g(*4U|B^|sCtb#nmEGbOP@K^Bcc
zr4q^CtKiGlKn~BLO6nT4Q2J^cfLDwTh5as_ljYHX-7wF?2M&uft?xu9^mTQ^G!H=o
zQm5BOhv6yXak8n%<zF<|Q%yRXJfl6j)kjtoSo)G1q0{VJq2{SWn*NU#cMskb3mI|}
zk|Hf;5b0w|^5{{a2Gdgg{DAu79?;E^kdprP8VJS>-4#?3&svRntHku=f}xVteuUm(
z;IiGgV*YA)eYqGr7_ha&22aR7B72%Q)=*LGdx05hjvC3cXLXMH_J$?1AQ1f)mD-Fs
z5zt8VMqaxbUL<^qWdzitngyN+!9Xe(LxGj%cjLkPMn5<4@q(;qZ2G=sktL)2Xee19
z-CzmscBjv9Vg@x@;SAHoXY3&YgL9s5=IVlU+c&N6rdK2;p7T}*mLfnSS}J>iu^WhZ
zzN;OjED0K3!Wo=cb#qCU;5yP`_S7}zqF(o5{4xSp`GGaTaSsPio&qeEr|-x7mz&qj
ziEmpso*7?u6So6b?G?8XHvfO}{vO*10G$M~)knI<Zf1(909*)Jch5(UijHnS@T|Cj
z7v`TIE<b-3J12pD0?ceDX$l^9@E%|+rSn35CqvI4)+z51pcMf6mPa{<JZl_ov^&Hj
zD0jlG0{59xe&Z0)&d>UNw)eCx!JJsM=z)?|%?cN_Nazr{q|78C6LNL(Fb{@g5hBBN
z<ksALNJfic{f1z@BW*b0B}K+T@H(L$BO8nR@muHi!;AM~)Ip9*O$G;XbS;?FD(Qk#
zzddSY=zzH2Odf=J<H~DAeq{I_M1BVQeb$B5=~8Q{k+2gGCVWW9@cg;zOXbGY7!3*$
zuTt$2+cKX0LMYp))ym1K98lNaE_)I))vr46_i&E7#%{X}Pe@HNt9MM)h^bMGEG(8G
zpm8F${3X7?evBRc`E$j?TNyA>?cgR@0n|aoeJ?|S@(YHqKghh>>1RL%uU*o&%?`PY
zNA!Vwqh+_O6ssD=kx!r4RM7y%x6__Xc#}#!WaAs9$>PPIyCM|6_2zkJ&_#NC3t_#`
z5i-l=j-mNQv95S1*<=7Rrop}`-+Ny&qd}WD0-2;*<!g{Wdltp!LoJgI7_NnJD<x>k
zGhq1H0&`2Wsv%_;v!&v>)01T-)XIpbGx1H*Px2c}NzTYvzNKN6(E_F4b^PlhAriR|
zw!w8J=Cz~~=Be(lZ6a$=sMu1%tao2>(KV(ssk;XE{rU54?tPhxY14bEFC*|GadCwl
zgM%E-E{1E5vNAG!PeEtB12hkB!Quc8GGV*DVFarW_ZJ;U!5pG@|7Pr0Q&oNcXu^@V
z<BfsU^ZJH6_<RelLIIWYT>ZXWt}94lg{!3DO#xg34gdWwwsip4r-c-l4x4r|;i9+5
z!?AI!A|QOa9Rh1I15U_4&VoDr2u14_YXKK6KX?zQ3D7yvH-<BYx8E!uwgaf>!WRs^
z{ckrYjU}!Sz1Bbg-Ix`RpD54~NC>)Zh9(rIjzoU`oOP~w-)$Okw+RTb{Z>xZo@eWV
z(EzQ!9u7C(jHHIR<CxeVe`m0p#0;`7a(TnY!_R--x{`5x?7Au;R~C&-8)%(t9VtU9
zy!7(_XgUj^D$}=(AG+ayG)NpmQW`0xyARUc-5`yGba%Iu2uKSGf*{@9A<_*}BKSS*
zf4+BSXLe?Bcb0SB=egs$e%D`Es2)f;zns=+H%f@q`ty3E*pw6~1;E`*Qu3LYBx$rj
zC+U4KHjM>3YRG#Hc6>-MIvG?J(Sow*(B}EFNIs^~7Q2+$oPqnu>FMc@+;yw)$aqS@
zNv9U9BRb2K{*ai+`&k7fw8hnaj_;?BzbuYk%%ex41ig6_Lz48jSEz~%E7(ySoxr)I
z?9OIkdql{ZHkdyFWURh=0%vX|P5C)FfJ+Ge!06B^WN`)w&@ezjB1+vth!319{Ny;`
zJ6KeoH5-)wGfw)@!{{r>Nl`Z94J6Os!B1iksyV3tl!Aa~Ngb>-9l24ccU9>S)z8ag
zw^v7(r!t!};Ler4udjpz!M{vx|K#f}xY+XPQ_xXL(e{GPOmRO(K{_%**<JPb*QY-f
zN+qN~Qkm98MbrlyWZf8q7rt?lFD*yp1i{*fm9Jt}Qc9gLEPH9<+{T5MZXePa1f{_<
z!pue-(c@U#^O%(_<)^JXlncjrLNEJM3X^@rQ6(9I+185uh3`Dkvhm8HTi{5>n1D_o
zL-h(4#meTg1=I))%_iu<+artS?L=>2{(C@<(40HPvcXaUuN1ji4}E)z_SWTBf6`dM
zv3tSY^3Et1IA33af6%h>X6eyJ^|)PF?+UdZZT+}N1~ebvZqGBm{pSjPdA;mD_VT(X
z^uL{z&#$D*DW}%0bP!Yt#-=yMk7FixN_TJX8#-Wzc!Vaj&9yt-d$XiHP9y8UFZnW*
z<P*~4M7iU3#5tdT$MD2=ZgCU*G5aF}BOCgRZ(v7!!Jws=PVbOPON!h{hNJHkje)F;
zOsv6J{*ghU^bk1v3Qq11KzG%!fNW#(1wZj=GDfFTESzoL$YRUw*36(9%*(+jLjO?i
zMF`YE`XdoDTFGm_(xs!0Ukn_r>uaM<EeAeS5V%b`f{+|~CSUiPT}Us#2q!X9(?DbQ
zdzrEkCH}l;>`=85@xdj&)J47To{+*+05`8|Lx2JEkGn^Nk&cc{%Tn4bU5d;1UM4Cw
zNxye?s?x<98DP{N2<CYPr)I@Wh(XPb1NO&3w;yd};IMH4N@~=SA<UR<r#WEvprRrp
zYhBlF<uoG!a`_F#i1W6s#00Tq!4>HjCRw(nqkUmO*8}V)t-jvNdt3RHJKCM;-#y$n
zl2T%oRaA^jYkN?hAd9yfy(sP{a(wEGYNonGyf1RKnc0K^L#jcPeDc2E8M6!eMrfre
zk{`Am*WWX`ITZ2IXqb~tMsdles8Bx=5*c90t69WfuF~jrQMiHJ6nl(2AdMX2A(*D1
z39qcFw@%07paEmW3okyqYIEkqMjI=sJS4Ikhc)b!@AW#^?T5oko+%Wku3RA_7!Z2X
za77YF<Djr4l<&xnL9ye<6kCW>TRh1cdXpg+2SuI;-uc?#aGvS@0ym7vi*DW$c#Zv*
zf7o;9QOMC@Lg$Q;69J@oKuHt;rro!H=Dr2)ju!!^9UF09Z?Dni2W{{Lbu7Ql1Qfu)
z-zC%mfRNAzs{Kc43~-AoFar$<C_qmhj!!zk`di3ly>m;S1qNDzwZ}^F;n8Rd98_Zr
zG}JHRVnTOzaKH5}gMTB4jQ;Z*SawRN?<<UI0pg|u>``06l66+<VYZ=8*d;9ql&2UN
zW1+yc@<OO=ydpsCmBnRJ<M?n|I_fb?gH03@FH5YUSi=h`5%3?Ko+dQM(u+w8M25_;
zxjDth#vU#<9fWAWn`R${Xah3SQ+v<1lIm{4zbLkmHd*a=T>MIL-JHTITydJ)@naM!
zawFrE$l^g>py727LqVr(vh3&8K;dB`{m!W|S!w5l1cBC7guaJYPM4)Qt10}@TsvT`
z0aNSc<y^QO`<EG%3Or+DCPIbMWK+`k&5v)tf!m}0sQk_3VfH1JdC0tUgZNS<MfmI=
zGbJ_UUHk4LnkO@*a2iR}o<wX2+%7V<G```}y20(wUqIGj!#lhsNw=DUO(=;72^}wM
zm9a{A;bp^|BIxC10MRit{E^n@Ro2GLXlTj*ev?HK$&E&O*mDKk)7pYgZa^LlX6X(b
zncR)V@kM{IX%RIFXTtoc+R*7IBnsJnBlYVojx`q4*Jts3`^&V<yGKRzvG7$fNzAx!
zZ(<o6Nw5pnM6w<07}c<e3r-GWDC}qc-0z~;NFOv*WpmHHy6tt7CcT$qmpr|xaFx&5
zj3jRte9<6Ma<+JKm%cBVx2)m``qua)oU+SK)d;MzT$F`j!f;xM%q|me&ccAm`-n_5
zG5dc@+OrC&t^PQK2bV(Z)Ktv|NS=o84J?@?Le;}#)Q3Eg8djV@<g*h|g64P4SW{AP
zYJHiF2pdCyb!^}`3pAKKC>?{Y^Re~xM;$AWC_0T&_5b;#;HIaw{6`BcOKH2>IpE-y
z@+zFd>GQvbyD@j1oo`5xQxFS#vg0#PLX&e{&H$Wb4W`+QJ0dyt=O*a18snBy0hWBQ
zXDWnq{ggZf%KB4Pj@_A$jr9fJCcY~GV*;$kBX`ov5H@JR4LVp7U8cIvpGl?F#opk>
z9OOaXeUxU<m|i@3)3Vh5iPW3&jxQ^2w~j`$8K#Wi0t>BF%PNu)b5RpCz<pmjUV)9)
zWb!_UK84Dz&a3fJcoZYpH6+!tWC)(B&sMRZj|FkioY-JpjKM0)Vx^;i!aoH!ADLq1
z!Be&L5{^$%Dc>9b>XC3$Ip%;h4z*0_lVR<FAba&+3VS}QC|HXN%`0g1h_ZeP%!x%&
zLi}k6K|!UQyzkd8zk(tuY^k}nre^YdBiKY}<U658B=Xp23YLf0)IhxA=kNcQ(wKP8
zvouwZsx;F8od;(xXbpx4!HmK;ksTR<0WX-ckymwUc3xiTRyR@^aT2CZn}lb|`;xRi
zHv)E&DO+@*kMAJNN2riOh9KA3RYJIeu!EQ{p}2No(*v_|1;WLI+cQnnVnoj*UYG!r
z^7PYhdk8w|n!F*J8zS1A`yYG$gdqecPj*hBykKw<ixu_WnWFJUiZXPl;qRLyV`eQ{
zO6-R-@fAxoBnbW(R_e$cu?m&Bw_SUFPV=J)w#!;orBp!`d5OZ&w<t0uDJ5~0sy!XF
zUf}D#R7udsix%D3kvSv{G$y*V#XxJI_@5V(!IrZw>rvkaF2yh|V6d8ZtJPDwMzoD^
zGCqx0aF37O0C|$iW()&0e}Hkeooid<>u`p1g|?)ZX497sj+-*aPbm}~pc0WNCMKcy
z%?xzGP(@A|8e{@23uLq4(-0InbPQSx{kMRMvukZWWjM1kV`w-<!E>=i>E6?R{g*`j
zvaPKwkk4bL>iFj42kuSj<;d9K&uf08w^T@cvQE0`#0=Fu%v%ope!QhUf^X}6MmNvA
z?aL%SEK8!&#Pn0$On8d~=F-23FEivONQ?dyZFQ(q^h4w4M0IG8A-7N-UpMC@Z@bWE
zLF$(a>=_CpfbB^)FW?J8Hr~FaMkP_6=GXA~ap{3a5~I4)3_nO;gJM9S>OcKzQtgwz
zJuB%yZZoB1<zJCp`*#Sm7JyPAATQOnQ^%GHNu(d38|w!~iq8Q;<VG`6UKL*8Vhk<e
z&wA&=O&*tDA5@^kDA9|P`=up07$Jx@%{v@3*FyxWTOgj=q$q=fKv3yQ!;8%kANRn{
zVlXIpmgU07kRV>>7@!bGK}nU$_t!%R;1J^)*}r>vn!o3HmNWeu8-K``Yi9)cu&xd^
zQL#rx6RK~>K(_bgx~z$@7h(Jz_6AammI6?ZJte16+*1>Kb4o1hSQ3pe$;;=6+mbwh
zr}|~3V_x*8r3Y*bXdv=Z;;%JR?pO{QmaaYq-Ra2tgdr8RWLTC{+qI~Yjrug{<z2g0
zu&l7$#xj?FcR_@_^IuzxWU=O-odbif=9W2NhNUZBy8j38qO#g_g{caBOY#P>jO;IK
zy1xgpp|}&PFplf!JmndRcT=1Q3E4?~G<SEnZDB(EK}=!btU0qcG%Se2y91-!#mnmj
zwj=}$5P+_B!Qs_`ct9>d)V|vCIXO~32*(+wV(sQ-7h9)K@)+TB7k<vZTor0sy)9~4
z>LGfL(e~Xh;*5yA5<8jRr!jA5W(Ye|jBdM#8!10k_b1fuXJs$;5Se*n^Q>^dA6^(>
zt9+$oD#h-0F}$|18U?|?_xAy>K7Vq$(+uR<GsMSkm|Pu28QZU}XVX4`tltGv_9fmB
zYbZB~s$|*=K2z*cfoD7Y+Z8e|SILu*iu>7_`41NkbvaOYMSkhK;<*xLg~h^wWM1fW
zw1C-(VoFAd9yaiLmG!tX%XmBAn$ad>MbcS7iF@2O`;|`IuWS*zT=|@^5~t=kAxSdp
z<-DAB=#W^p?B<apeQ}17?_R&1_u93oOWj@%zs8W(XNH^?zZI4FScbUfY&#F=%!v}0
zB)l~LvH0O5L~=n)u7zl&l)B!3ebS4j{*K99g#aJ1q-3h==mfKjHrHk;y$7;x`XuZ;
zx3E<wyQ-*^4v8Kj4`n9pJQABuo8nfdUQpc#0uKMX0;;2qe4CEf&B{d9Zw4}Y-+dsD
z1Fz4MXDX0Rkg3?RbQvIe^yUIJFkw0PB$1}LHrA@`ZAeYVz>qO7Epv*t_&){MUz6Ki
z<5lp%hkaE$Miag10^|s1NT=%G9#wx3MgDd+l;wY40HX;#<2Dal0ZLqdg;G?A#;4;|
zqf)rf?N&wshvfDSI+#1n&EdDy9>x+U$&8>d6!Jk{8<rS6-;s_Y7eEuRxjY*lDEIa1
z*<F2`!Am1@?g0!c&2ualPsg@!3}=g|QxchQ=vA1~A_Y75qmFxfWdb9+8(ICDp#T@%
zw~<3}RXn`*4=N}zhP^#$0A1L(nyovz>o|!4Z)PLv6YJz_C;F`qk#p>#blcBBj6%9)
zsSV1n^o>!rKhR}lrP15XkCwlFkbwM4g=a|S?KRJ^<q+t^py_dL-`kMY%*a3+UXUF$
zRv#OQo(22mwGtfpUJN=B>io^$)|`bM0^a2P*dZ4?50bAKdKgdVY)sWD?_yRArF!Tn
zBE~W%m0m-}xnQ5R%0A$v3U9E}PxkMaRYqN;?86J#71uTMecPy}6EuIlS#3POYG-ze
z*o7pSrN5Twyt`)E${|mO;X<g={eC|b>}1H;w<j_#f4CJ92{&b9XU8eN#r^TJDP>}W
zMuhfHao#5aNajj|ENAsLuF{l<=l-<kXglvEDha{|2!yiGuSUIk)o9L~w0DXPO-u^L
zbf6n0Lam5UWzj>Hh-E6xL3v92hwjisTg~P7?PKX-e4A!0IGq0NCg$5soU{LC*Ag&u
zg4E()|C$}|00?S~+RGn>n(OfdF!BLgT+j-{RpRz5_tT4MSeg<?FR;l6-n4=~a#uA!
zUt|BWZBro9`)n~#J_r)ebZ&AUTnY^d*JqTMMVRxn-|kWUx%6e~sflU5(N03{SHs%5
zh;CCEDwf(|z2cvigik63A~Q<{EkPG=<bU>~4}(M05(H3AHTKjm&D<eqCiylfE-E41
zOeb8M3)6O0XDh4gau~Fl2x;iLy{yS|+jgY8LL+IHDVaMkj4M8v+Ql~HI=%mBj`5R)
z3Ts%Ue8v}fvwMjPdvhzp_(7ZyhZ)II^EWmEb{S3?<3}D-_Ty>g*Ar9iz~CKj3hlzC
zU?*QYbHbE)=XAXBFDUPGjXh~^E}Jkp=F?CB*|YD;NypThy3TdL&1K!j_I8%rn{W2=
z@+#=iUNh|%HIt@+LJG~Tn{!n)sH)xts|<Xi@l5l|dzvsYtHL_2a6OulOrKYG;A%O8
ziT#y%NyPFP-tGL6Y(htV*}UDe-P45z2V3l@fy!KsSeNaHR)2rj^q~d@3Bn!`-xs@H
zru*gS=->c2?Sf2l$|Q&>1aUA4?c(t_DM&WerK#f3&ozF$BpPlGORoa{{PurkJZ)#2
z%?$v@Ku<H){M7(mebQZJ-!O2o8#9Fq0hUNmg-9Tamgd4EPt|TKE#7sZLK^N<a~Hu)
ziHp}d=G*?TUsd}6rl1?FwO`LkC0V`62@yNiTP?sf&7Wgf@I6up(}zlRpcA)pGU#lU
zzS5|}pt0m;_Y>Q}&Do|x<@Hs=@P{?_h|Fk&b<UOQ0$d<R1wifeaQxN<w71s|a+FGf
zFL0eD1JEM9fA(O&7TbkJUk^{Ln=mQiWbn16X;r0_7rm1GMKtGQ_-AFF38^8aqI#u&
zQF%xthn5EaqUcx52YvyB+PzB5(>Axc5fpX7p?Yu*9-f@Y2Hu;!v5Jx*!ba!}okU;a
zasS~|v)phn+zo%6Y;UvejdEiaT1qNGxZ21Qg)cpq)|6OsFUngp%^sIG`7;ZOr8x3Y
ze?wd7BPjrPpDn{l|8E<0yOFa{p4En&-FWPnx9sjOi@&IIWVAF8SX$%Ukkg^^ihT7f
zaG<Tj${d$oi50TPtTaYcq#M#j!x9xL4fo#d9-9kuWg~h<anHP5v*87(keRA9>1^N7
z7mkdA`%)LNq#k4JuK8t6($pS^m_D+2N^%7367^R{n;7nt<!^ek);fJfLlRq+Uve>L
z*$TU8OWIAG-vWn$Z2$a+*DUt-_V*p9W%RAwVq0Xd&>d*Q8naa>K`;S#ufPtVnS)1G
ztCy!22#%7@mw1$)WYsz5LbI&*q&4HhRCwKt`6P@evJZ&OrI9<<Q-&Wo=3f*esImYI
zFJkdO=*y$n@R{fD5ZOZLDasfF2<_45;VTdSj`!{m-Bbog5f@-q&70q|cypG*2Y8js
z0%~Ap)N<&ud3D3W3+$pMGE6`K;5u5Ml2Zz}f)4y78<5E)ysbzFoZJ)-E*8^IdfnhI
z>m!S@&F1L1F{{=Zdf5hnOaRU2)ZVmR(=#tB)hIO9IPNj1X(W3(r|{F}Eu)tQON3T7
zs?ydb4&E~DNk%H;SC+OcQ-qTs%?6}v?*R}Sdv~T1quU$XliAh3i&<X}x8$Sto0|Aw
z$#=;-S=P7i@6+XkdmT8~Z9}x$1N$&~UBTA#rvNHsiWdwRpRk>6<<8kPSyb$3ovdVP
zPgDi<iOZUd>Aw7w9ySYxPLg<FyrEw`>+jH;RRSg2fH(Jf$i&h?%tcUe(HRHHeLLV_
zUJm??QMuoryw|FV%NWB$b$;z_wyta})aMG+f<KhXG)umkr7P4xeK<m8N|GW%jKNt5
z{s$^erF2mtk-I{plauf!y{EVlUm!8B*lc`69Xa7POPD%puYxB&kA`q7s?P66*Em^@
z6xG;T^x)Hvedsf?X#sI9)JFzj`6?roe=zu<Pw*L%XY)$iis7kdy*jf}lAIgs)>elv
z19msq+=&)d-JHpy;}<&)s4K^(Hz;eM#quKXFSszKUnR1C^0Oe3!UWGNJ4^)QQv(8I
z1boKf)-M&hbczGhdSINNFiO_~fq=v@P}=k7Dx?JgAAK<49M{m-l&3%rv-%W5UktG2
zSxRno$dEEyu;+jC<^HCDs}y)rJ5HV?S?c;&Uxu!9{5>DiJJ@$<=F@*Yjsy{_$ojBP
z4vvllYWlIf3%_<FCpoL^ZF9zVqLSx$&tG2$iqU5?ha?VGTh!(lG%(3$mNYUQNV6`@
zbn<Q@wBfW;UnnS%b4^T9XxFw;P*8xQY|yN3_gecq=d>P>@|xN14ZPuSZqfs+Dssgq
z7TrpN24sb>kr$f^g<-7^<}KxVHq~B_8E0gd9F$)L_Ve8huK`s@)k3-J`kpD8z)v1!
zYWi@*v^5o15Xv#5F~V!=c?n{h9>%%7ALk^OU$y@p&5tmmFBU<`&@8a=p#+UV`sfyt
z<j3FAs9s*;LV!DO!bWNLuU|KoAzekZ63vfnWo|E}8UXSAeYSahXxJkNGSk764!5fg
zgQ6XPu|&&+O>9QS_4ReP3&YeRXDryUv!-odl)7ABwsZ>(cqGwg7{xxvr?E!YyDhPw
z^KQ}$X!LOHod?Sbun2u`0Nh^D#S0#K32O(tfmmheh3G`4+i$MCCQ-f$QQ`vOtGQu^
zDt5SO&sV(}ef#qdlC;ZqbJnId2kmlNyyR$jNg?1-C4a0D9>(?Tt1-?37bG!BAtLpa
z-d(iJ8ACvRyyLIP?CHrVpjK6$&I(?X<4P8MU@0BBzOO<m$Q19yC)BuDHLC-TD3Fa;
zHA6M47aMtQv{f>}lyMv>5J$!tSg-#)V+c&~TdCG_-~O2@0A}8q_V%xJf{&d)fa*QV
z5&lCt)3$~;#p}2fFF#zW`(*FP*^+!MTCXg6aN%p-QR+-8f~AQZA>G7gYO9@*Dq7J5
zjguQH)r@k>B2UP``cGnWkgZgyRh2MRb0TRP3;f__Dei06cRq7fxyOQiu0Vu_3ulkC
z0RXc)9nx+rM;?|l>?kvWyY7Ej@&;+=VI)QZ7DnOl!Hcf|cNcvPrf=4kpmiA;Q6@Do
zn5`>Bk;%s^4bmo-2`&8vPt{7epl=18mib46=NtgI+qwSfH4AW*=&t33erg&c<6eh|
z1-(ioatVKrA!rRLynOkm<|)eg&%YSCYg7jBmYkl?3V#Cx%A&l8liR4wvMi2*l`{bH
zUt!Mxb;u5AR*jtZ)iqQdlnj%(7IOxoTSWagaUR8n|7?aFBY{Bb;Ia+A52WC4DK=)F
zAJ#T(h<}liA5I8Y#63Lf=os^%UB`<`O^zJ2v)jw$dKdaofLviId8|6jw{}haIpOhR
zPhkJ=WACrROsW@Vk8<u3N9fdW&w8K-YG<$w63$ZkFe3&ikV6edC%XP$+S`xr9@6fm
z1P#p?0Vm5H(cgLwt&j#CY*9-lzzg!y;wW_17yN!jsJ^wd$nmiAnWK|;nhA~Gl(zR1
zgOIC7*OogMl&fINzWM_Bp}7BNAkYFI4BU=9P`t#<fsN*Pmu9z<HS6$ly|Z@(t8(#V
zT8zB+!?eFJ<Dzq+^@-XfI{IQWuCe3^z`c)vYWoL_>|kd3un8O9{YyVmCXrVXk)Uw!
z&IdZObIv?VUEmOlPt66AejT=t8wcgNVf6f?AH^_mV(AdX8*fX*OWjCWKMz>cx3rX}
z3hgGhx3p+iYk^7Z)fNA5j+&*wIO&E35zERHW&P-rsr`H(ZiI%q&qmP$>ueJa2%mLw
zfk*gSF+lba%zf*he`NTbH|G=aR2FJ_k$8}j4g}dL1)F4d_c=Z7Ptei<l{SA4NG!T1
z9NKbgSn&TTx)^Rs3D_Zk=SF61T%Jc9i!uiU$Oe(4ooQaXVS(93-vaNaD>V|_3(vfB
z>7%fwyEl$jo+Iybt9lCXE|<Z9Vz6Wr+buP!xFYFThlYr=Itqyv5rIhpu`$acmB{`#
z3JOYr&VR@J&$j13hs&5kgr7-br(%$q|MdCz@|B2BN$r3|@*Qf1LMb@Il@w5M*|Mp=
z0+v3=eck6wRv}4j7~a|Qz_-HC!T4N}%&NhJ)`bNzB?a-FQ2ZT$r9ngg3erjz9IlRy
zK2c`{G7?5&OGhy%)71-%z||$rjz@um6L^-t@SDUEP2P8bjk{58i(;ej=Xq5{Mg<9C
zTdo%w2exXi9?&2L(v+Sc0a<Z;o5%^}Eagr@mjumH7m8)$mVoM}==;jIy4ja9-bC++
zAcwO?6<Sr`4xs)K5EDsFz7Ix0oS#3N-IfefS>Z}eU9Zt)QVh9ywSeG&8!a;2i2Fcl
zG!hCJyFRmI<g<UyEJr_r;`*#_Zt^U7oFXmw^~D63xsFH)AZ$&Q1jH1V<^w2LgEMw%
zSmw!D_ZvT6g8Jd)`ofa5_pyGKWPWxRfNCM$D~<p>eGoUjWlj>cu;W&`2c(<nY-VtO
zf;v5sts5$OBM<9jIRb4@3Ve?X<*!-Y_`|rA?Reg70%DVxqgc9JR+%k$N#*+wXq2Y;
z5#+O$4T$iGVUngqTPKenoW*}1Tz!50PoMn!Q62(<H4-cIHiW6RQoZWq3;p1~MX@p^
z0A$27RBwm}9fxAO*6W?L=v8Z!t2`a)UoxwMKpayM1nmZ<7DQ4tK0LEPgoNOS%lB5#
z)v5|>HMX|e>ZaRf1KWJg2;jGQtvW!FFK+*y8-1c!kP?f;Ad~v6rXtf@FUS$&KuGqT
zFBJ~b@#KsGbihEm@-_LaUB^kE0s@42>%DD+7y=3;dPzcu{t5C=Y|6Yc6U9aXt>j^3
zi<dkCwqtTrCP`OQ3c3jjdsb+@un|~2ad**+0|U+dUjr#)7Dvq3lJQVG^GrbzN>5w0
zl2!y=%-&o+3(S~8K2q#smEl)3(ZyXRoe?Ce0$3R<hjH4QpDcQE<b9^Uk-D|m4m*|2
z@)(*j)AZ=M!1=PXI&ns6a^Fb+6L5M`rjjv*!7|SX*erib_U`613b>qk6b@>9*+lrr
zK4AC+t_*Q{f@5v$p#gqokxroMEgMER6k>pR;v+Z&h3($dnYZeuTfd`4FfrOGZDhnj
z4vOsOHQlK4^>$c7ZE2OWKS(canl*qxVKDAqmv?bFON8L@hcP4jce%^g&MmF2p=GW+
z5GFkdmG4xNGmI4YpfwV3_JgG0l2nu+a`#bX?0dOS^DF76yDcj;F{t}}0pr$!n0>(2
z;R4-f@1(N5nc&)Leu&97d+~4tyk?cQ;Kpw2R{Vn!Lj%EBvf2}A&7p6vbaJomzmPC)
zU);_FQ`=}ffdtXZwCvN<u}fIahVf>p^naba9^7)HU8fHIYC{Q0g+~gI#{mNL+w@Yh
z-O8!VunRt}F$i}S4L$^+Si;@xBeG1@(Jo0YGt4(|Ty+rjho_)Ju{IGigm>Kj!$M&F
z?n!5}Ex5bO{ig`<@oC37-E{?CmDbL?4C&z4GrY7&HMq#_DqP+3IDXMQU?FjjWym9<
zb|Q#vJM;TaoR6mNX@*6J6~S)-IWsA!JuVA-Fo}2!E%*E7%s4Ks4c(|A8s!vvpP*M8
zxo@|53R*3e@^_Bn*IYUI1Z}N)Exu2J`yAA#`Rh%-H3RLC`Szh|2qbZLqK&K6woQla
zJU_;i6vnK~n~~1GBNZg{Qip5&`|q?wIC1txB5#f|trW5f^%uiKtg{Ca&Y($XddQ!J
z8Lb1d_)mp}h3jN+^qY{KG>|w5MrIhU0(gIY20=#k{s;Tip(c<h_jH8mH-c1SLxX!F
z#Q1rJww4y|<~#qR#ir_Nc2Qamp6hxR2qHej@_QtAC{3<PIcSvuIG#E82VLS4F=rk`
z?EPB7kd<zDc4N3)4*xU8`pTN@M0N66w%g;`dCpkjKks&$M#x+tX)LfCF&kD!Br$Fp
z98gfrI-w*e)tCtGjK3@|`&Vn)b3dJDI)cB#h)qa?z|2hasmKSm;q=4II<HO)uE5S+
zGhR_?tEv3?>_M_`yS``};U<PNcWh_G>cTc(ooWax?Ng@H)Qwm>waIP;wzyQI4%@M{
zJ1H^(Wco+mnZ7ZZzPzBc`an2VsoW6rNnFKL8SS&y&U)@lDOMzkB#de1AUF%&m{2AP
z#FbK1=g@W3*mtiKbULn0EY2%y5|LU}O^uDOrF`-FpIp*4o-l8ib7I_f18?;#=r*VJ
zQX@@VxMmzel%K^&)W5N{rCZu5#K;mOP_qASIGfz_KGimxc$+Pv%QY9Y#T|1C${ziS
zIN6zmth^#0;|m3Od|Nj+8>p<r#l^cCiXNL-*2tSlMGi1l0r?Fy=#8^JOGnQRm>$$Q
z^Hd(GZ@kJaRxEFS5MHdTfTH^j{OHSdJlPUZIbaq~r)-POFmdckL5g3qK+RZ=@^p15
z5`flJ{UFI+cXq((wp|``oyN8>X9N)<#*Felm<FY0yq^gLf~=#aixAOMyU2nqId<XX
zRnbAjD+%EgOgTrIa)<T5w~}iudR=6lkM46@^K2v@|7k<J{rEhVsnv9qSr_vqj$g<K
zA^XPc*cZBBWQcD14--tHEEZ%Z-9x1OD`Jf;3l364Oy71itQ&u#@JOc<>Z?p(V`!D3
z%TM1>5w=%m;&bPcmv!#DK6&!I6d5s?`qU3E)s?*l&U<8mRa8ulMH>^qrYwEkb{0}9
zDSJyU1}iYX7pn1^Up>;Ci1_!DyB8?8%ctb00A>Q1b}lLc&I$x)>}EJ)q01;~Ro**j
z?GZ!tA0zZcV8wt;eAmGdPLd6y4Q+<CBs($mpok6TI^H?FXg9SrMpP_pbp99{H`A~8
zL3T-4IB%+4RdnLwZoa;*4!`frEJ0#-IK?f{IARtqv+P*?ND9!wWM*Qz>G|(<qnPsq
zd&%36vS(25d@m43K#{^m%TpMQj3g#(OQ|Xu6r6evQW>xBmO!=k;)*A%jyT$BiZc>f
zBrO?>$|{jUn7aOcMgvG>Xkb>aBDoO|w+E2WeSDkKvBi@i$nnS!A2WY3l`Lt<{(h%@
zizv<d#S=odxuYI2geas-b8bf$VtHsPtp2;ee$;wfjcs-?amuhA`2e$DN8F6u3z$xk
z3x7jK6L2MW$2ZGNI!4b+rP*S0508sIS5ot`F~p@8!%u?m2co6HK@QV`LwZCOKF}9>
z3gyWjtON*y6=+LyI?gjM3$-VOwKy(0HIBo(;`j3cI|SnRZX)wYPUV)-Wvsq^aQ6gF
zaYhEg=TrUfUzf;bE-9{VrlNe+(u&E<xYnt~aE)7Gfv6)o*~@@6F_`k@gR6M(n=C*a
z;Ij|4S+7O((JD`!c^~>1ts26-N^ZufoMoZC^B{bniOtWMMRhz5_4)Z6QJtes{wFO1
zKib+Sg7iLp3fBKFpNvWr1`gGdpFPO9dBTM7+b}p-c?p(i#c-60HYgOChBKBc%ZHib
zvFQFtnk`*{2otCI<{h5_IeQbaMVqI!LZcv5e8RYrg9&`7y8?O|e?f!s@-a#zPJY|o
z3*j<!wwX$Yww03tDOR>b9W2W3@Y3L}lt|oS<1X6B1o-F}G%X53A?$_9Qw~jfQXZC{
z@%ka1y}U3iIV=T~xjF)5Yy?WiV5ZQViL_K?8rnU!JFzU+Qn=s(yYc?BD06SqK`6Ew
z89KzIP>~HJk9BSBRc`5VE&0Jg3Ywwv)KS+DwV3pz{KlOQZkeo?b^1>3?Mp|%Zcts_
zD_1$O4ude2B9>t*2%K`S>h_BTkzw@U@m|mBjqQLoG7YX!dFwygcfv`N!Ah?XdG}7-
zr32UnzO3{KW&n0=wN^<KpRz(OK`=Q2y{SY<ZW$EDXCQa7;w=KuW5^~&!@bpPf5c*>
z8VGLLU*?yLkPb-+zGg;T7<4Wbc5g^IO)fG=ZA-dL<CWbWl;WM$=@AdpyIBNZH`iRI
zXb|gW-JnY-y+|Frgbb=tZSZJmy_!7T^blHET`hY+frv@Try>r2*#T7yFuLb|q4@{4
zFi>Pkf$LSJOhRF(y%}xWAd~cr#*R_oZ4rF8Z<7mm&7kFFu+X$jCR}<necC9rHzUqH
z89Pp<pAAK#SUQp^RyEB^QAUng3M9!9B0ePkB451_dF!dEkaf*aIb$a+qX|ymXSouc
zB!nU_LugI|jPb8^?&Cw0!g>udTC8F~n$|tC2n4bzW>Sb)?DuPtz;!y(d;0r{AV{WF
zp3?aAdA49K?)9?^rL-nS{oU7Q3Y1WC7_@@m6CN=$?#I33M4UJoa{<ci^^DAOvKQi^
zgQPZM4iv$xsneeidpMqJFC8@>w5i@Xh?b=eZGp*`v+FB$yX2OaAn(#|3pBB;wJQSd
z+dv3=Hnhby^geaNA$|DHmH%6omMcZ2)vGG25gs&ZkcX<Tudkb4daoF*lWocDPHC0<
zhEZ`_IY}gCc69xF(5P<urOnkPTw&~Dk{7s9W45z?@Uq&6`%nnBU_jC>Tb=gY93-!o
zktFU%tlSr0w!H8!=_!rEgh(*ZWY5}cu=3DZ#HtfBZ?IIeKb`&U9rVmeheMYTWAL1&
zTI?rxwuM&IQ1yG{756-qXXqh7W#=QDL0IP|<U)f#<;6pQ?|%L4<T-JHA1E3{VX}=s
z%<7t&!a`%7(tWs?HzCI-ncT%&%j{+ap*VO%wXb0Q`x*scQJ}9s%G<WUp2!6zGDd-C
zKO+9P_8-hUrt)h*KFLJ}vDoz{Dk-S^aCV@0hB#q?E+vLcrFFn&$Sna`M~C1k>@t0R
zmZq@fqjV46=f@X1y5aGKX1%zjgb;i>-t);V#QM~qL$xx(PVHbtDj~P!LbfL?>GE9B
z5dr);8&oE!tGT&3f6hYlOY*o6wsv=cgNk*8$*;rYNhBi_yKd#aabyWt%0(xxCDG@e
z0K)R|=&;9>RD*yfC9kX|eio_~>GptAC1~Laadf)q)c$`Y@mGOih`TrQpbZo<Vyc+5
zLV2UXNB_W9KRo6o-k{{{-tI<MAYomA!>v_0@InbKUwj2u*E2t7#W=*SXf(zo#?!bf
zVOPcOkM`jZHIgW?08f`X=j<lEqawubQqw2beVcW&<mZ$KegUzLoFAXW4+W8$m)Rno
zA2m|i8?mHO(VQxj!W$NHJ6SU#NET%btZd(h6?-JP>XX^b%ZQ|yKw&gH@9(zj64UH`
z_0l+%3HkqD3qU6+iy1aXff-9y6_KQlPv$Y!wDhPi2D!%GC&^-VWjP1F4al?*$WMc8
zr1qbV_ovxVFx0wb>evG{6R&r}aD5hUL>3Z+vVvujZ)l0CgDXPYf9>txKVju#0Kov_
zmXhh!3AuU!YLAZhRsVrNtbQ5|JVnk5by<nsv@l!uTTLHMHY^BvQ~99pbhcJkfpT3O
z<0)u1!4pyBok$2?<Z}rvW%O$}Wi%9evXe0?*usXDRXb2Y>KgGiP)qrDbuDMo&}12Y
z&2%iCy*M5ua{f{0*juSl-rU?wesSAmx*p;YtMr5$IjT2vpTJ4wqjD;-M&VXvlNA`P
zm^;UB=DrGOGgt*qF@T1P8s%0-4&MNs1Ss=V$}f8CL$M%1?j4Pd9&#kRAb?OH-r7&;
znLwZ26A=3uIgG)N*igFoSmtr|p3h=$jOt@gD5EN8E-btoP%9Fg#p0;?COJfuw1u-Y
z*s@st!}YHk#sCOR1q>yB@45l=lppfh*%t#63z9|`(~Hr2!m*ZQ#!MOn<n{$1faC2c
zV%PpY%Z@+wC>|;a+B))}Se}guKRrJ~wmcmcA$hcmP0d~LOloM;p@JkXypf=>%1x+w
z7T%Pp|16zf1>6RD)%;mX?^6{tn8_&T<{SiETFc2*<&PB%qc**{vzB@Ecksvcc2>!3
zv%^g@nS#Ygm6a9nJutTk7lv)8rLu9Kk7keTsCVv&lo^ZF+-|XB5d`bGJ<}kzfk05-
zC)q-=c@Zsa5Flu2{{{@mTSL1y3#35_3{K&!|DD3;QFMKN<!YGYkl#T!N?>@EPp^H~
zVVkKOjWgZBeNhn~DzDq0h6!diFZJMO8sYANe{as1qJ{FZ{);^qNRV_)pwoBnpW0FG
zCl{z9vju6k0JkL^Zu-mhhAA49)k(i5l*B;QR{0v(8(eWZFVcxuAK0EEBGMpVHUN&n
zR)h7$U!Aq<O@Z`I`+-&0fNE^<4{&&0n4LUcP4v{}J7fHri&EDPeF{rRV%gpX%3p60
zBR1mM)5|AUuq$iZY@xHS$kS5hDb&<i2d|oNxE%m#wq(T##ES;ld?f@~zrd@P&CU^F
zx_fdgL!g08?vIC0$TYw=7?!Yw;>?xYe%MwOQ1F5f9Tr!SF<Cuqf+e!&W7P3y`z~<y
z?U0EY$_f8vz9i!ZRNwoqAJWxVH;6{eV9vmpBA>tbwC@Zce^LsIy|jPFBalf>_xFBW
z!MmJxWc^Ox+TghQEW)4@jqHz7D{4AfFw=-d6`DReIq9=?a!!Pya0`}ndM^dGl%ASC
z%NfBnrzR@eLt`~HwNpX?zpFz)=eT%eJj`et2LNHt4HQgw)J}i*=Md>ad0+wBI%B~Q
z2$kC59EhZjK`E?FBrDSm{s^1=s+>L0Xr9CI_0;9f;221Ha=V<_^WcB+Vr?P6MkqKV
z{C$_0Bc~>hN4YxC^B5T#26P4r?2I|fou-HZXoc7DGRV<M$oPIL@Q5-ip0aJyLpwX-
z#NK@P;>4|296(YmIQ!C6F7-J*QFd*Wz5C4RYgUGQ?Hp0Wk_mKFk~zn*g1BUQaWX7q
z2sE|&14U+VIfX*H2RD~5$4!T5!5CPWnO=dggYv1YF|d&^@K&&^!W$ZD8zV(aL@vyf
zoA@wL1j*vkw<So`5rS4=2wG;oYtrGU(Vvas=*YCpf^p&>!%u+zVE`NLwb2NVFBKZ|
z)=ZW5rhrvwjAlOObYSW}a+nGtFHaUiDWsFkm_Raq;Y|->iGHgp(F=SKtlGqny=l&@
zffm|j!y8@9R6kd98;BPkQY0x8JzM7LW@v=fk7CLdqLvZvU|DbpH&XC%WA^a422n>t
z*Us`f;1g0)bCLV+<6yGTP5&Zkt(#7dfln5mM1lk$Eq7ta>_c|E<oXTjPkS|NCLFVV
z6Vnr6&mQ~*+oNk?CK#1y;4)_{;DkD^lcCbsAb)6+X*UuDAGv$>^P1G3xn4p~X{89I
zT`3irn^0+ix2FlLNd!m(u%Qwn0tZIS48aQ!bdRXKG$wTO^+w2kgQx5rZWyge;X7tR
zh*WmB<I(IZLS`VQApS5-(dX*$o(Bt#tA{WY=`I&sNpRsP7+3wq^DmuomaracDQ@(w
zXetf5%gwf{@Z!#;shGP9h23|~bX4low8#t!ka$AGE$%8m63iu56V%GamqeQ4dlJ{~
zmgPPQ#n{caB9qG0*Lf9KHgI+I#(xuyD8KqkhgfwJl}f~A&xJ1E`lVs>8<D^mC{fVt
zo0ZI~x~iZxBMq9;X}u>CE&^b@fQIV`3|~t}few>DE>=(ScQ)3|BCL5VEt8uojWjee
z#$>+=e&52-XOXlqH{)Cm#i3rV)M-}G{I>8bw<Tu;U~FK56<`X}fBxtX1J_=JLGyF(
zW*}H7T;HH61_OpJ6EUd_FA}&FWSvt!h{i$Ujh)Z3Q_G2U?wjr5EE@D0>=IlYm>V|~
zdmv;!+@rng(L`!eHz+9j=1>P<?%wS9z^W{D!G%wEUh+_(u5fvGKk(~bX1O)lxn(JS
zQ>6R=A0;6i8iG#Hc>O7Y`$MIvt_qnYStd`(6EkK4O&%)62!x>8VKs^}TdIfAu@wfU
znD;HtL!S{lf(amvvwC}p+DdXe^M`u}Pi8-!ezfnM3n#gQfK^1I?11pobRWC-4eUl&
z6~swdbD=<$sZLWt>Zs9IhRcVEDAOsXV?Y|DhMzU<P^Z(l<cOL|fHe{Jh1Xw!%{2r6
ztSGx+MVU}K=Erw4-)_BM%DbU7<GS=7&Cfa3K8^Mkr<14EXIu9)#xfKS5V(-1TQWbc
z=PkHFyxkD@*o73Yo37RiZkp(*JEZNq9iS?tjU$K`=-wE=5b^tWxmjaf4DW3AwxzXi
zkhAEa&!*)lm2t$a&%Qz!ZxNCjw_&fXtpzL!S)Sp$8*wR9(s0v?CSnON)9?ElfrS~*
zrkj4-QD8|1TWmIbo{<oUG%9+VBI+|M$t1uA7EMgv0^!{oCY+yz&@~!G_Shu41igH$
zia(Mo#hj;!Ck{>c*?BKDi{34a={dJ=`K-czZ!;qWT?*|ii-1cCq<Nb5nk-$pf0%cE
zHdN25UGueFaF(2~C6SCWYL7I$D~nAS2&x*WOu95mU$cm}9;kB5j;OppdHow3y;1AE
zrv9;0Hiy+P=AkBTNoC`kDFPtT;NYMRR7iaRL8?q@RD3mdaf%Tc8C<iU#h7YC!xUK-
z<+3QV%oWn!^+WzkfSh@M4$7qZ_a|@J=aIXWvPv>d-k0V(@0&Bbm*Qf}L9!&IOc4rc
z-#uf2m=y7nsWhQN41`jC*WT!yeS*`TtV1ie$<CPVKdrJR?7i9Wp~8O7KO&%g0w0u)
zrgEm8N~&?oOPZys&A40^%d;a+>F1>>K4{C}Fjko&1VY-x%y%<Nh}=eY^GYBJ8^3&V
zk<4J1Zn63PtM&M=m}Up>v(N3E>PQf@faNO*cH%O=VM^mHrwg4du4+%2sz@E;Vy!B0
z=@V5YqIu`HG&H2FfvR-HJyNF{u%WcEtRF%Wp6DI4x3`OMyLzr8bq+W!aK?g{QKsbV
zqpbERSJBM`8<RKsPXQ|22<?a>kM!*r7h;C&jNr4#LPP{9urycr;^!$KMhPf5euEBu
zuCK0J$9(c%kYZ2rTE+r%Cz!d(=kz>Ag~zdm>Tszp1ij029UUr_$?7|CP!0Qh_8p5u
z<S@Ev*4NL^k2~wvR+rDjULPImO<kX-;i!+aa+TX_^@io$c&;)8Lh%<X*^x#P4y=_l
z1kVdj-Uvmge`=Lq@(|Kg7}>c<{wYSjYjr;;zArm$5EpwuFGB)3r>K2C+1}{!Z8YA?
ze5u*!&$NgAx2MW>GJ{;GI=>!%b-H9YzWZtvQt>XSlYoZP0)&=3^rv^(ezp@)nRnpV
zP_Wcxtlmz1r*g@1$Y&~n9JNiACUcB2uu^}px{|R`)UQFnRtBMA2xRaG*g}tmFm0<0
zIuy*PHR$ovcc$vX8|H03*L-Pcpu1jm$X<xv9GFk&HpEKf&OPFM+WPc~=29dD%v9{f
z9}-j$wT5*gVrF1jIq*vD?+N!_cD*fq#`m@<8&Gb+&=E^tJMkI!q`L!!jtOVx*p4{#
zb;$^K299D*2t&%r*!!0!=7jh2SfE~z_xnraZvd2^?Y?~2-K?RBu>?BGur}^!^;_L^
zdFF!kcfTGnG>?w!N8kNituZxj1h8Q76x<Gjz?M>wP-^^nr}IDM7|1f6eN2s9Z~(%n
zv0T9m03&Mn_NVHbuiB+gOO)Z46{>_j@NLBnS%1Wn{X6*fFm&-1%mCj$Vh|twXEvdN
z^E=)m508<kkHJN&Yio}`b?~T`SKS}<CtwQX!os8q+4Jx%Jz;LhXGw*#NR*;CN?A~`
zE@X1%vCuHEX#cq=EnPrji(yF{ym(a`Kv`q_t)r=l$l8qK4F*IEDQJM3*>Yb<c`CZN
z|N1_nO)7uqG3i}-YGp5YAnOHH0+0dSUhIelU)Vm1Rp5gnVPnllCAr@tA}@Ud>YT}K
z34<+xs}i{)(LN|M!w|F6rC}QgN<=IIJhRKRYYYaO-}XQT*|2zCn4~4`wz`$^*6GWS
zWY;-fNK2URbN<2=z(E4;o<e*s)mTw%aK!-JntMfK>i}2BJv;Rv;>@((cWg4XJRCt5
z82b3ik2G`#NmQo3%8#!6A1W!(cT1r*uXtytlnlx>kr);jFeo#|G^=L7cKO-4ErE%`
zUxn9-KjoP(vh8dtpot^8q1f3`SDiw-8Y$RuhIOw@*|+b+q3Dh}(PhK@$rum;18%+C
zcZVx#*o70^1jrwvrWG_v!*$ci!q09b1GIj<5bKz9eSs>6++VMRewL}oLd^s8-5@5#
zx`7PkN%drM_KfAXVv_Hb^EFEzD>Y<}3|qIecwUCr2-_UgC>OW>LU}UksdsZ=_yV@a
z25Y4#vhTV~py3;7>WnLvojGHqj;ZPl+Gun=fk12wCrf=yt-j1V@dqO@(AsGm`B-{+
zUHh%wtv<q%{>v_XOkY}R!46s92|V6;%wt08JU>5w%wr1t_V3XE255QzuEIdt_u)bV
z-m7uI0QvUz$le$!2>g-+;yDaHpQhFNm#&?>y+1I1`>yNP-^cIRBV*6L8gve(5`WSE
zD<v3P(-uQp2FzWv7gm>ZB5aGjWym0zA@ZH$gvx3aZ~}gd3t%Mp+M>z^R-%JxtoK2x
zJkRKJ5)q(i)t;zXA)IcXeLUAW*k8U2!s|W-gwVBRRk-8(*E5SWH1Pv*b<THK)y8ix
zXS5UQ{R8T4s@?kz>E$PRN2-6Y4GrQD#vgh@B{IXK+J5$B714>4Ax(Z)>7rp|>pL2E
z*_yY;Jz?>>|8wbZC+nG1qlbXz$mPS(glN=mRbW4q7i|P79#f#37|Ps~NKM8p)ROpk
z4icSc@t=113Th)F8Lbge5TNp9V<nT3Yg8nBauh1%!)`IfXv%Gf$B9BLQwy5neBDUz
zrAf|QH_iW3<BAf$bfnqLIu))a%KA<YAEz5E*N@)Zy}5pn?X73q&A;dq%?wEkYY3;}
zC_lkeOD1Kqtn2J?cxUgvS|k36U4@yU%2x|FJaJfX({&$rnQ^z2FPD=Z@`?Gwh8gaN
z7@1{0Vo<jxB53y9+2h=H1eLEl){)U8RlD+@#{;_wWw_}>1<;UO+t>II%1!-_d$AhS
z^}}~NE0zF7neXF}sSGTJ23brBto+zTUjv=R!?c!9DjYQRrvaj4zhr4JND*TFYDGAd
zb+F>uq<E<kYOxXbu5hRCMp{0X4lkxXG)|B{HoQsQ_vak{&QI=FPuc;}2Q4A=5vqCn
z_}Ak}_9v_0HVe473q<D6A6?7ez_-uq%L*`l>7&)EGNwHK4JhIy@qRxtIDx@&@G&Dh
zRe=Ha=#D+RtbKc*@UWZkNH3rgiN_Po%w4<9Tf6-U2pEs4&j6Fh+@!-sbz$c}$pn_e
z&z_Ef<hZ1hJ0I@qO@TO>&A^qkG`JM!^<U{s8ysY82m;dxA%wodT3nBdmlg>UP++Bq
z0*)ZETZK^cfyqo&e|1FdPB8|t$%IbN_0uF(h&Q0)@L#7$2`7DgDk4f4CD)o6A4)U7
zyzJlMd-#&u2eaVhu4~m&sxgHYY6n5|7e>Fjz6NKxJBWwFM-higC#7-^)iXu&zR0sv
zbX96fKf{JX@mJE<m+M(R-VbibzA6~o6nO6LGu);tdCaNV)EfUWF-zD639(xwE`P?>
ztkOHexlps_f(EbUc_WIC>%+#l9#1d!(}<64te4L{p!oO*!L4ybQ!mv2B>P=9xQZkx
z=_#ds{^(A9A4q)n#5}Auj-h+Z*(CVS=chJMtp*=}0tB0TcW2c|U^f80K*2)LaQMK7
zRrO_hGKz{PRz17ic{9Ik*xH;k3p^VtL-&%Yf?f*&#t%I?UEcH9t3<CHm!oZ>G8^1P
z8?9|f3k!JhLMCVj4(0*;aAIXA`P+j!7C2eJqk4~pRx1VB+`3qCx;{P7RgGJ21P-Pu
z+kYtYZ3unznTAdF8qm<EOmcLQqz!B_Tv}TLnM~**<uv)uZ=QIcyv0_?nEz^JH^d7c
z>786%3owt7Lsv&e!lKH09Gi3=2~YdQ6W8=xb)1M+b_blr7=PVNn=|q|;&}MU5x8F-
zxc_)a;qhJovi2Fs2=$7sdkYeqTid(*8W#Qw)a|C+ZJINBqyRSjU5mW=^6l=+qx$RL
z)spkuM~iH!@t@KN@?ivUzluJ*czf~UmV;&Is|%X<e*&NZkVgt=1lA%{*Dsadb%u4d
znmi0J0XWDrmE6z5=Zx<X;lAR?OxQ*BO11$SZxNw3mLb^1{gyHvXBwjAJCL<&>xL}Y
zYx1DR+3XcUI9QL6D%ryo4*Z7GP9osIU5#&AZ144#2qC<_P59}T<Mk)7b+k}%D6;y$
z6}Pq%iPRQNw4ki#m*w)mwAVKO4rlQsQ1U2EO<#OPa$gZq{CQ;%Kr5AQnR|hj!4Amv
zU`s0izPz8TGD6QWm>HOM4ENbHSlP49Dy5`ixw^q#gj9+jvRo^>xxz+_MQY%%G||PX
znRND=M?t$n^t;`#LM(xXERi5T%?kI}&8S@hT9p<AQb&B>1Ee}u4Y%t^mb&~@3C~jG
zojTU7j11#Q;j!_=mR%JapBU`z3aPA{2Y!P+N=P9}_Y23@xGAPGSb7R^49BzkFk6a~
z>p<Ce3_O^qBqW!Ao@Bg`h;(ZCl11P3U?q7Q%Y{M{OnXjh_`@)`lWSqqX>eHxJKN1h
z4PB3m2&-B!vL@DyTjnFh!BdJ82L)BBB;tgV^nb&3Y(t(aY8Q2l&i_0>A#?TEo&-oW
zj4?&OdGiJ}RGd(n?b1HvI@V+Xv$VIh9`*jkACG*lH{XbMtfeVISo3g*Lte9>1_3sN
zlL-MrVTK_QT%D>gH4UirwxkBb$5Sm^1NE(~KHygI<#ir%#Nb6Wi3Ri%Bk3h2$4ibw
zz1h8~@`CSjn6J{84?W#DfSNTZ7INX3Pbi=KUnVOcW`L)_I>0v{4I=tyA_2Gg794BO
zAdkQnmoL6=nf}AJJQz#)A2rRbf{i<9(L@eSaBrGGwCzrS<Mjd@JvKxY_BdkaFz%oX
z-!L*6=H~hHZ^18xO0eee_%7GaIhIV&T65MwnwS|*P)fBNXw+!>?Q}mFX9;Tw3klWN
zvhdqGgzgxltM6D8;Uq@hrW}WOCf+(^F5M>w<tyy2HgNhFw%ODR=!MJ4%Q09#fi&D9
znI$?k^;?*jw3W<i<Y46If9_+q)a<0@L@BL|8SSr4`UOS7jO+<@Bf#ZY@{k2}N9Q6;
z(eTosag)x(h6J-rGHLIPMqk1ox=Wdo;oQB@q{zXyUuy2sc3+)`D3wnEJiW9$v3v}z
zj?QozB)l+*76};z8zMlc@3`}Wq$z}ETu+g6SJ$=%xr{NrY>$Uzyu-?-x^L5U_RAip
zVW^4hTAyrOe>zuH#rmtfoUxtmjZXk|a5y@}yRrtb>IGa@vCasH?B76RZ9dGa3}cz`
zZiO0Ro>(=se))3uyNQ!30a%+Wyk>^)effVCz7C}Pv}oYLUCC&h?Y*MRWx<lsbB_4;
zyGoQcOB%^P%~YB2EA!GJM9(=Tzj3mj>4^Xq)a9Du0V|&!baEbhb6pDxEmCHD7I%aB
zHa|-rpW9nnq_t~cs-K>a^~qo2<_ePiYNcME_SQ@?-8x)KTsoy`sq=@_VyVw7{HIHA
zlFKl}vddfpb@(onc^qO$*Lg(MDHuA3EK9x$0NVmUocg+#+Lk#;Xt*Q7X+C165NQ#1
z@<r;cUNAL!=-_8dez0^1vJw-_<P*$pt?K)+?=z1Ug!~l3nS~fs+35b0Xzrf;9XDuM
zuaoiO{j}W)p3?ED+lHuRwSQOUyB0Z-o>Wsj7ZDW_${yQ+D~z`8_{7PS%-Fqr$^jCb
z+CZSr24169lYe5QRUzj@Q&#<RfeQw@GjG@Ox7B?*B@^CNDsH6VW*!aMm)P`>^+L!y
z#8Gj?APn6ycveWwYls+u#PwjtxD~Ls{u|8`p1G}d>d>Aur%9xtj}|*9X40#k)e&;d
zF0=hJOU%gTJ;dDo^Ty+1ECOm95H5NNI7R<%9{V4F)-5*%A?xM;I$SqVA^w0>^LC4)
z&HL=<6Mcoy^1cQPBNxtc|C^17T9JH|Pta4Wjx0)Q>XVa`vA-_K`h7lp3|Ntw(_zW#
zM*Y$MN7GqGRl#*z_|V<m-JJr`-7VeS5+aRAcehA~v~-ss-7VdSGzbU?-pzZ*r~et^
z*=O&y=9=r7KkC3UM2VRDrLURQv1D|XS_x&G7dq%WEwo#4dJ^#$+=7tu>IJKBX#I%&
zuFlS<_t4@@p6}iP*B@l-_QZy2AK6f9Kwnb4-G&C@oeSjWrNzbWSsWDbse?b^SkxTy
znXwMCq8U1+gtqw-JXWxjgo2qg-Jv7znchZ<dMW7RI8^r_L3h6!rx#C;UAo!c<w2r2
zrYTCZdqqsXmd>p*2hvTJJWZ`y^wY^mNpo^?makt!YvWOexVx-$ZA|D9;qg^wGQ%=(
zWa^Hirg6hck7tQwdJXMfrm^Jd7mnAT{P~l4Q_B})$spR8^)3q*R>q=sIfs}f%!WDB
zbYG>QFh@`@Gum*)!N{yC7QJ&gGw;5|1UreA-#sJVLW-+VB_fjwj_yoH1~K+*Q^gU2
z;b&C+u4BpzHNMd9!-qUyUB|80obO|BwB%a8cQ7pnbkDHeI`YQ!O=uCSd26mK@Ol|9
zc^XUmAAa_#XH`nJ;{T*#<M&BtnJbxL-p_|H&x_TRRNBbE0J;C|Hl;an(;_V$)+O~g
zAItD)pLVdvUQLdV<f<~Wg@K-CDSa}M&u5#3PBE*~8ev(NKYF|J==l9>XLxu<_gjLp
zxu#U0w*@)XP?klz39?~v7eCv7nOq8=!=b@N{RGHwfPYq3d}H$pOWw^f+^PNVhPUv>
zj~`5L&r3eo5^cNpKdOjSjwDr6)5S3z4}`tqU4g`Ttw;4+tq#i?Ja+$6x|Z$+^C?)$
zFTHXHh*;VIi$A}JLR_aI;t*+R>26-g7TjCu+HsIvvAIdG9R+pIOy-feU!oJlHN_NW
zg9(c_76*k79oWaBrFyGw4f*|hg48<t54M8URN2z;)7km63nr}C-))S4duq>npS?DK
zAwTCD$V%WnAF}MW_PHk*!S-#hDfUOsYj*Rw>=U-lLotaC3o^Zkqlw=Q>=DZj%fk2A
zAJ_vkQ@cGyp6Y0QZ2`%Xn|>Wfz<|&k<(+U3fWacN%uRxlp~@`Z35E)K-)51|_cdjl
zOJhNr9`^L^&=>Q&TW43-lg}}aV)+YWfx=%|nLr2Yl5%{{D7?AZ(19tLT3!Qd%c=Y9
z5rk+RA0LB6LDOLK*(@n(5J2YT_p$jCH52A<qZPEIn$<o5FBm3F!sLo53k7MV8jvf_
zk?Ui~ej$2t@>Iof7)!Wo`u+O09#=*}TG~v?=39SRDZH?mp+{B7II3c{OfBJK%EiXJ
z2QXOt#bF$sQ1}yIsJ3S~<Qp8gR;Cfeg_itdJAy_W+?K}^Y`>-z*_Cxo{Edf_L1iaS
zM|+?|Ik?|?@cg@A`m`|T`RCGGxvSDSXBC%3x#O?7A{BxUI=bf3fL>I7a{f}`avBeY
z0u$A~_lM2M-9NJ>N*whYcKSMqm`vu;Y99zATW!Mmaswo*hYi9MzXP&WiF@~gMJ!yO
zss?T>*N~fu)tl?Ry-;7>rEz&_DY67quqx@bzwo%|hjn*$&7vaG?8*DxruY-sc5FKr
zX1`?}V;&27O1n$GRLi@^tHZwdN$@P>YOITxMA8&qq@>SWqC6L!s_95(Nj74Z$Ti89
z3h5QpLPq*ZNiXi9iI^JmOOJnO87*#sc>h&OI{ZKy#^TbF>6*kA8{m@}gLUP3my8>l
zSgzIPPZI|ygG5nwZ{ME({5hPp_9bPr<YPIG{#V5H5z1(}1(E8O=H}4{f}h4pv&GCj
zY^0Q~`&H!(%5%u%<T0Odf}-@u_79S?-sp+`GF95F$Mqc~Oi$3Zfc8u&#hD?RmVGnD
zriheC-sP+<z!X(4H>e-bvFOYH3G_ta=Jy#ONpSaa`SLCi8$Elb?3NcEmk;q!P!>xn
zW{XRu-mGuzn_%sN!!(AEXvUx|%7gr+MPT>w=QnK=Vt@O^U?nbAd!AN7IsW0=k87Us
ze_nt;w`Ca}WB0agiodhHFZ);pSYEzXui{6n+y#DHj#x$!1q@=wBoau|<Ceol?13*n
z7*O6PTkC@jD*J5alAU1P(48vRR4aMuAjB-}l(qQ*O<W}X-nnopUa#|8=s|Q*HFt2;
zg2P{>oVAofi9D!}8ji?>FPQO#tt&8bf#<u*xaDVE?}D3;n!k?TmA2%8wHILq7Z#0O
zCj+eStkyhVNo1RyWXI_3#N!8&9H{R)AC!JHrq`Lo!$lbNrPQ06#pYKoybT3>-zuYz
zhZp4zA{HbbRiDCoQpLWO<Xt(8b_UnRWBfaG@h5`h7Huod*?3-Y!OXD7bM%Vz;X>p~
z&lOyL{z(5T?RMPV$eMj>)#FM92aCp<28r$IzjfJpog}ury6Shg?ll%5s{sqaBm3fQ
zaXA%g46C3!Q6`Inl^zrF#&ge%{Hx9A8lphnIt2nl3(@QK1rLC!-aSj}+bSZS`eVB!
zDUkfJeeUQ*d%g@E%y2N&!v!@n{+x4?aufV4Vm6e1W|x-H`YR3*%#NrpOOzJ{#Fy>5
z=bbGL*NsSdhd!}&ZH<~dY&ZvMGeJ*lAJ5VVrlte+S;ww~IZhf<){MC%rG;-Uqw&O4
zkHcHSicI&$CHw{c@t`(PPK&pV`!9ko6PK-e8?J7%@*M1t1l6zHJEcmDZg)f~9UUDL
zwlXu2l?o5z<!*^2Yxph*u@?$rl&s@k`PMWRBQTH#_4J<X6B9wOwrU*p^vdtL=U#t=
z7&QZ5RB6ZWPY}nCC$S|RR-%8+dz{0|<9Da89xoL#OK?z9Q4~JO(iC|h)UZ}s7Br;3
zNz*^qTIC=$x;OLixUT9JQb-1~G=cb=%OO};ZkV9Q1NY$gqB#CPu!&r&i<d`o%A-WT
zB#(I+^fH%N|5yMEos7o2M{gIqa<qg@iDHeCPQ>>apTX*%&IG;K{T>eF&kIPGq50p7
zbb@18W7Kx_!etZ#D89)(zn(2K{2aWP$NAv5q#C$M>9DauM+_FHh~o0SAhAZD>$kO7
z9U@V(G?|Tly0w0y{Gd<tp!QX`yn<Hk1@?%?1QsuZdN(qR!#Uk5w=C_;hG=ffYEfBP
zfMWU4J4JaJk%j!2LWs0vxDbW}bM%VrCaVJgY}>e5)U@4)*gFySAO6|vX|e(vnA!S4
zj1#g_XdclKZL4FQ$Wu<Guz2`1DI==uPg@}vCJu*@%ct+tghVsPEf!{fAAOFqJh(8c
z9+`5D|HHp4fNrS_Jw^dnX5nhHj4Sgs>p8d*Rf5JYrCio`D)@PZvf~Ak{-=`<7~h#o
zsyM?S<ZwG0MwAjm;um|7N38tB#9vK*lMRnHN}$x^o&;w~x#RgtoK4zPmVG9UDHMmu
zYC^gG9q0Sfh@Yy&>*&y#^?`a~5Neb1O%OD^4_>LDJ_7@TWF!g!yRg_>kecMsMEv{S
z#K5$LIzs_M8I;widWGy+TUAx%pX5F;TU_={H3f!mxJsB*^~&h|dIU4^ZFAssf6Z3S
ze!G6UNVPqYB?}A7kij`xO^u;Oob|r>_h^bk6WLDTL|yVj4(ot`C)KO!?Mt~jY&M#v
ztaR9q+zhje>nx5p4_&OE#tZp~krN?7h^6+5be4<RBuc#k?GwL#`JGqQq^pDr9GX5F
zq-9tOlM^&p6708&`utsUoyVhpJ<>(edV=cG$l|*m9q_?rpCLE<HS;I4<LPA){>deG
zQ*|hDXOW8-Su0Nn<s9mU=){pv?r}R;<#@s5eATzBHvzG+;e{TduLU!S+c=#(?twSO
z$;Bo2O+FY4f=XlO;!sD_u{eUA9$xYr%abr!oi#0y`S)<Mfp(IIjWP<Ut^Bmv?s`~D
z(@!}`aBpGfc&GBjrtSlC5B;9Dk8a&hpQ?z5`-&Q?K(^`7D;xdWm&|&#&g=ii8YffF
zCm^Y3^JRzed9?QLs6N`(0(`?()t?83RCc`!kh%#=D=w9PUsdd=s>!4hIqIZntN(-S
zs7l`N{){rN@Js67V0YSKzC3xa)Q$pfj|p5(Y4LDKVi8i1^5M$GR)Y>j*?^m}^l0+H
z&m^C6aW)i%tOK5L#9nhaNNT_leOQr3?7^ij7mI>p*Am89un9NGXcb$B?>e%9@K$~?
zwe%KhyJuxpuJ4a0(^l64&2p#a-d&mq6=i$_R@d*X-xx^Pn%mnS(olRliA%u(2Og#3
zO!PENkl><%O?4rM_MimxF6_8P#kUx|vn6}>r@oh@gtrma{d@J*EfRS;^>}8GU>PQe
zJg4&KW!zmFK9ib%8PyHWiiC-pzZx;)Jya6{7u1R?lNYfCptbh}BwB`+B=*Oye!AZ_
zV9fpV<+wk;`TgGVeSk1I1v&ZiYy<Ezz7hQQk5*~3J7xauK($)(!Oa)XM4yVsZLlfb
zu^yPE^+=21SKKFM38x~T@PmLVNSsc7(H<Ux$`|hvm`h+>Hm7f3kUU0lQnqo^dZS?U
zPiCz>g@32yZO7sB((zd?=1?7`h09y=i|W_iKK)+jg9{qRe)CUeo}Qk5eyeUdS#5z4
zrw@889OiN3ui6n7>8e--p+O_}J%+%siTKb6u}=M54VXmJtr7Rcb>Jn)hpY^^3ZRr3
zb)?n#4}mX>7?SO~rU`>&F-rbyr1BXmh#EGiyuQG1ziH6R1Zr^k;X%msQD<{Q<Xcm&
z%Ve5m<?w>UFbU7O<VIl2)5gD!y1Ew!AP;Mph@hax5XHj072kbvSYQerxl+2_yDS$D
zJcRH`xc%;*%5iB0dVZbKZQ_1*&bHM`U={b1x_#4D(~iI-FhBxNP>-Me?r7US#-!K3
zrN`F<>_$NS74G-jt^M~<3)2hYqc#B`=-IXnd@KLWP&~~%KR@G~ce?M7Vgz2mRNuTv
z<4-T;%F*qJ)fK^qO9D_1n;yK}-EVd0-}eP`Kuro#GFu?3<9s)=zt6lUlKW2BX5`zf
zurntw>{iLS+U2u{T-6${eBhbHEU6MHj+o75Ar5O7#4R{SiAx2I<qly*tIOLexFKGG
z<Tu^!24_YUBZ*@<Oh@+CjmNQeR7s%Ii<1vs9$6gd!u4}bdUd_tg$5*Ep|OEe;4n|6
zQJ{oQuJ*lonMYQt$P!s@KAm~JU2hK)piQ<Xgb6y$%J~G`yqk&e?sTB82Qw;BGcO(=
zs9WwvzK=yfnHjd!p>sk0yk8+c0G~H`)#u-Bg8QAvuqvZRGlB`CKCA|J*PrHLrEaxC
z37LM-;!@4KJoou?KDVQ}+RPJ#YYe51iSx%E`YSxDKAJ=uZo;@qY4Yh#N_KX7EwZ`_
z-yYm=hK+eoV2ZlV7!x=Insv&E)ro+8wj%YQ-o!O9s}f|O?bq9?l0uZ{lp!dbZ1Q9I
z(jQCVU8JxIGYYKpE!OYyiqODN9-yzj8pIVcE)YXVhkVxC_zjL9@6I#0vgs44(-B`G
zST)4~E9Gmi8sR}O`g%-3&~oINVuK%$P{f2qRGqUSP6DI&uoEBj`bKzZabKI7*Cjt8
z>S2Xf|He}EoA<;A!inR2UiCg;|AtT^z<`lw$au_xl;Hr!vARhrklPy?u7m0naPN0N
zm94(HS<`9pyWIKC^C3_Hu;C7AkA0~#-~TE5hz(WGlHl%w`HGp)cI|aRHP^Y$O-_<>
z)@zIPsD=*x>Tb!m@o*@)@K~UPcRY1|Mga8Eo?FMB+myV&d#?g_U$GmvYgg+4tfD3L
z!^`lG;`t&%t@Hlnz&<`bgV|jVm=!<u0L2GH$O9VT_IAPILrdUs3)uha9tU+Z&VO|?
z`jRIS5rhe|bed%k1BGJ_qZSUwI?Wn>j?!pC%(1dR4q7=#n}|<}fL=+n9EM4N(Mr8$
zkVx5sQXE~`m6myF4=Y!&gUyyx9>dn2Zz;1ZPmvNn_NO*t+G-L6iU=!!4z^R1IevG@
zFqkKeQ8S1XlBTa~gZ5@n-jZw6o(P;cQ!Az@k7tnnR$>qK?o((bq^GVyyw>J3j%T!H
zh4LamVP&~L$heXo?tG7V6>X8+>@tq3ASteiDW}7hS)OIDKIxtZlGMkcHTHb~<C@2o
zWM6G*j~Eg9f|n8o8WMvILDZ|BV1tsG%t_UixEWK!qlDyZA8@t9>b*~6F?HtubbXfQ
z_V19)i%BIM-{DriALCx}BYhb)oLu3IMv>MHdICEPRDFMl+rO2n^}r<mC7sGQzVCWk
zL!M%`1mZENwPh>XoLB4C<t^<Ko2g)e>hz!>I9CX*NUC$tY*4x9^ZPy~L^|q<X{WSP
z4qx(yKuhwCvoV6A`gKx&F|Dk@kQG^kk7hX#@3|EUR!>!5ZK@>HFm;5<V`~Jx&y;5M
zx2|8nz^^~Ncbz1%%%+q}`FW%YqaNfMgG7+bg#*40v9SgP7Ak^L_4$y2;H<U-R68fu
zsVdKe=<>#ahZfM`b?2l;)XRWaO||6ENU&wQ-~evG>oaX2@flRB(x>FF2I#$g**0EZ
z+PgFf3{znm#7Pk&Vl0;oMbs>M6Uxp)7=h_%`2|WGvXHm{ya3?R#2=wS>1KAF{I_rV
zy#K;X`gfG~d~~+n0Ro`C0uQ~Of2;lborT5(RGF7B#}~ft)8-S%pm>R5`dO3!KI8v-
zJCG8H0q7Fld;dF<84;Su<mHR6<jdxMoW<WJL|jAjT|^hC9N0!H>_A(E*+PD<G}phr
z_+cwZjm;BeL22y$T3D#w+~iFdhgAU)6rnN?td#3ca~u)G-llLg@@JM-di_PhVQ0P;
zSM6xH2BJC@4rFv#GAm<@kULp?fY5KZ?DC$m1bj!lg%=I-RHITgSDlZat*TD=%>@Ht
zU8J^)(wmK)c_({qC!0@eE!zAD!vTzvon!^D_uF60Dc67bZSv%*bzbK2ULZ-Xz<$up
z=;kd#p?(;lydm>D#_iZq9X-Li*fytTG2&`rt=`pUGN|I{r8xgw;-S{&ngq<g@bLoL
zZ=>3*hC;T%kA*npyT}8ugdr$v+;!8v51`rKFYyJL+bz6TS^X_)@tzCsqZ<#u=45j9
z-Nx$D%p?(07n$eRe7WBZnF)=4ji_h-{ZCTew-}G+$^mPPW*i^u4}UJ3_kon%mMVcx
zBtTVrb8ln88%6!@7kf$_ez<w3na`<XSG&@29Ak7cZI&`U-@laj&$(8rg(}d{5SWqO
z`_2ztLp}{ZtYVR<CiBET<Z&_4-P980WA^I8LoS*yT3T96^Aw(!VCHxQ4<n1!$Ma`G
zr<Ns@EZ_`2)~)Ri?XTCL_$7P1N^3(4+k>Y@wlY|zS-g~yLm4_coB#9zK-7)@-G!^4
zzTO?MdiP`zcs0!iZ#Fvb{nQ2UJ5wl~?vokm=_aT2xAmzwsI+j9lXBU$Qc%=TjrH;-
z8qdB$;ViA<3q>y)x982fXfXP^bvkt2N%8LmfP0ycxBNV=iX2<_LKg?PH;mkd{!g#o
ziq={45{q1aei_TWfOWf8%tYV*Pgh$Rsdo|}ojkn0x@QgrjWJN+IW}ldoa&tYJU#iQ
zJos;Iv*@k(m)Kb_8-bCyx;J%$x!%@@>>H;;DHofh{i3xsT4GaXEhRwfFVYfX@-(`_
z&GDf+#H)u7UEkl=+$q~TWS1WL2-s3{_rXxX3RiG76R}oSB)vr~fs+<r!5zmkD};p%
zxosSjhim>Cj3WV$@(DvPEG5e^Vx(EQq#@d&*~;8FH9aBbFsy>HUbVBcbJqmIjRDAw
z&hx*DBHV{Bs1}4iP{tGJAvfM!UT$^W{>E~mh3EzzB(SA>=i9Z~BEzZj`iF`XJUsIx
zxu`lHvMDPPI+9n}oPF-0nrRx?B3kR3CGqcchD%z_97rr!FQ}7IFrIqwe<fFGUco=b
z(CL%0VVDN$tVUPVQodK`TQ=hH8t0-|Z+@(;S;eYscgz*#CFJPX<CA5Lp^j)Pj8-ze
zA>%ttuwG)3gkzP%VR0VAO%%(i?~xGttV%lM@#o_GzxE-P(Q+$)CMqc&p5}DnbdN#j
z8f?0Jzn8vhA|4+CmbJlariuKpL`^5noetkaVo-{zOs_Jk^%dqFOeK9(n+z7L#8K8s
z`x!8g^AN`!EY_yF;mq+mHm%Ig&Sub1_ROZ<Hy#zBPMo>bgz3CN9?gg}`*Pgfr2L+y
z2$K>58Po%aNk=j)d9n#NeH^XWa}omojjPIYBVjKWpaOX2-OpuqEIzz^CMkXkou<|+
zg{g_wX5SBH_qNhgudepT-gbKV`taitL-O-R-PMPaKB2Oe*dy9RZpuQaBgd^xjD>(o
zg2ttw|JAH-Dda`R^}P)E2XtyLReuPq4FvKNG2Vt?$!2wR)%K^!wdT7H<H<I2()kcG
ze4FbWtX>0^%+e!)$v%PI{9OGCI~226Dm-d3<|5|L*5bVNc0UxUM|iomzU?K2*iUQ^
zu%%BVMk|)w`#6pPMwT1t2ks}hluifeAGq`~c%-^ZRsPO}<H}sH*2s-;ylxv`=M^g-
z;3is3Ug_4Ftcwwkdld9)_X=R!wjUr$lYVb>Ia+rKizKI$e!bw}2__>X9gze>m(_+X
zv2HWzX>`Wh`}10Tp>$ntu80x2hg}AT%#f`d;DH4v?%l!fxHvS=>-n25agWVbMl?0`
zZB8Z|zqzB^xwdIASe>yO-|9yQNq9}2rSmJvCEQI0irLI4a=NREbO`O1mazM@qzxew
z-?~>1%Epd0X65SM<1p7QbdYd$ZOy4=wLx|01xl2v8OL25h8Q9tT!MRAO3aT0C60wp
zscAyfVwqLyn`-~pp=`ejq@tXjf<<ObK!SsO<5ZqYEz!zgf-i<xes|jsiMzR3T0%a9
zV>%z4?^xNhpPTgavCc8nROleA`9-sJFs-NCtHQX$s?Zl5e@8YX=<NI38;6hjL6L!^
z%$~VqFK4y+X`fUcB=#lL?nNvO`P0pf_YZ{WVZo0pWoq$qG#b4k!;lS|<HGjVcE;j7
zC{vwUzKScs-DzyMT)mCx=&1En>8O&t3NU4QQ>xBX0(jsw=gxg@N^weFUC<LLPC~(@
zAD|g-9zf)@$!4NSXg!o1s?NIc=-e~Tb|_Ob=8T)u=DN9b)FQ-;a8R@Q7QT!c1)o*#
z!hsd`Z}5^lU`6^a*%*^7bSCPjGwEjvb=Qf3FuNy^)}Vzk2>{qm{2`Q?s%84=Zj+S@
z4j`v$cbW6{96i8!RjqiM$CxvXUnmZ5Rdw!nqlEnWqUR?lb&kZatK)Eb2(1!}&}Ox-
z$)g~;L$fn@EKGzkeR4OmHtRi06vE(*i&R5b2CFRX_SO#ezIK``LN;7lHf^9j94}Ub
zNybR5iTRKwW>6ohu3dSGP8d{>wLXwr;&<hlh(I2lf4}YpC^KwhV@luY{I;zLOMjoZ
z<-G%Dd_DC+9Bp70_+iRs>v;KD)mTk%1iCtLNnQZ4xBRP20phMe;K2|mha>IKDQ+K@
z5c4V7PpxGlo0@=O7x?NpQA5l|Sdm|=1bonE!sCI5<Xp=(wS(u~2dZlJ!?8WW=l2}}
zPwnWzW_nf2PV8T%*C@??HY<L5LdZf}XL&o)2-fr834Nwj00QTNDkiK#vR(C9<2|tW
z4O*fZ92XVQ{4`x{?iZSZ1W}cky|Oy@e~w{#i}8b=Bf272n^AlgXECe1Wc#bL{^FcW
zvZ=<6sx)9A2$N?Ri$Ne*AauNCHK6+Qav`ITkPuj_{Us|(G3o6miHZqPH}nMW#D{Z{
z)#kg~@!gaJ8oF%irp(FdEEK<Aty+Fsh``I)a0>dJrFI>_c0<R&xEUEL<{O1YLdFbB
z6+EXbtnAn9f(eqiFAao{!sr3^%Uj_vWGukJ693@nn)uE>+rhaZ;)69sML;w4DSEOC
zFL4IDF}9>Xoxc@0RA0BU{{K|fE_Hb9ur$=f8N4i6Ke}a6PgdrXFi507O@*Nlfc9*2
z_+6sMh8=HiB7T#>gs1U*!LaP86DAJ`-&7xD{givI1AtS2Q0T;8xp1JLo@OFyee&Ve
z7)UesWIF8RO%gTkc@Q35o4@x5Kjcc-HZ~2d1^7HV7z;bi_D3X)PUivhZK@e(<Oeq)
zYJ7bB0~h(>dsNg`_~4u?>LDXPM2WeNeoy)1odI(p0fvB9jrg^yv#hH+dk^&;A%g<x
zkm-P3JMeth)R31*6z||>!|$OYLg4U_1-(8U+gwmqrtjaW^%JgcY@qkM&e{#QIoYv=
zGQyaYu(NfQt8Q|Xuv$VjJNIO}I`b00<fYV_bY+VOh;nV1Y6gTP*=GZpHeDp~%t#;9
zT){(clW75VO+|~E*-`J;%|n)vI_OQC8v?5j`XTDL->tZ#cJ&<DLP6FM*xI~zphfL3
zWOQI<S$LfqaE>W*1?A>cMIy95;^K3`+0?<zz$ZdB-fCJ2>iSxVU^mjCS8q3Bcb9WF
z%fEiZ7axyo;yNoh|6mKeqkM4s{+m4?{)zss^-=bP(3~Ck6lO+A4~G?%=~M%L6)?{z
zuHLq#UO)4dG^WZ7{Q6exEc&I6l_ivd1ZGZo?wz0Cqo*+3jzHkW7SwGm-_1PJAS<~C
zt=WlmQ|qw5Nyh~H*>p%f4>g2RQui)gpJy^1xC<)ZpVcb2ti~1Ebw6}H(U`D>v(u3>
z$#PhjSg{jH->#&ADv(>RLH!)uQ-6NdgYmryfix~G6y=;OUv#1H)RQ#!D+wi9GUl;x
zCxMu~iBAX!2;e>IX{4FYfT2D+Il<IOruBOw&z}yG$Nu<Uw*n;g@Gc0i!c)c8m3jRE
z&?|7Q0dCV_n>pcvL(`01=cQ2pA!W(h<|f8<Z^jMjMFFV{gmN}<c<m5g?Yf;!td`{V
z6=ro)>g){T#gAu)^aC#SWLnd&TJu*|_2-X2DI$5b0W$+qzJ`vl(g=f29QY&lcAn-b
zgF5uj&e2Y69q{s;w7DeH?rtn(597^InI~onay36}gC<-lYZeOxh|IhbD%n_=i%U7f
z8><JKpc}2X-frRj=Cw<He;E(fS)KwvSX%B1Zhxay$p27n6X1K4r3_We`6hON*r6?Z
z-OV077D^)A1{EEP@4D#uS?zqlP5<)Q7XxJT8V~BQjtN!LU0x}?d-o35hu-iy6UbG5
z4+ueaHH>UEC`T_BeEs)Fz$AxBr}sgH9+Ri5E9A+MM2A-W+?J2y-1D-yysUgjfAn3z
zT;5(vH(!=A=@1q89O^uoqN%ZNTB^<ZQDfyw@v{2PF~n}S`)BNa3t8lMnP5CDr7w?<
z%VsJIYY={ET$B|h|G7|Jm+gKY<SZn_b!1LB92^@0LI&qv9pA%B0Fd>M-g<*--`qP*
z-FL~f*Z0ElyR2iFbwEr!z5$hLUQW*Mt=CVS@BVgRRl-1|++TxrqpI54yr?(7g5gl`
zJM~|*3}7QcuIA&CQcSbX%9Ed9Ep3owrlzz?_6YwjFphC3gy@1qh1$<}S`H)?0(*vA
zI4nt{R#$Uj^3~g7BTKnPktst1g9mP{_hW05wdy$WGj^%8BdiUyDU>R{tW)XgF!kDQ
zn8cCzN)%;VMZcpDJ7IF&wFBWQ7AlV0S%*LIB{>uz!8s%hu_d_|@2-Jmj9E3Nj#g0f
za0Lo{P$mcKBLG`h-&X~!2;+wyTz|Yrlq-xJ=!${|hyIxsSDQ-DyyPf^hA$apU^UVz
zj2a|>=SFAjrgq#_Kv+<)?|H$Rrn+96K)=+?mltEE<C8T3hsod0*N0M4+<$mS3cn%8
z7bi~Xr)ZgE&}^YXpsPyFs2!x}baD;V^OWPyH<~~i#>=4i{sNd$)eh_zgPd1=a#;Xw
z98+@KhG+9mZS%a{1-vo)2okx64L_VfMP4??t780NN=Ih2ve(;+y}E+tGdj->(oD1*
z+_|*<ug7N&l}ulK`jjZm3bt8#HBkjaT(#z#z&L-%MQgfMa%_`&xy9{P`@ygT%9du5
z)r~dJYTZFXo@-3G^Vq*)FK0&SvN^%kyh1=^qlOt7VPMYnrhcW$MhixiFrXC~Z5&6a
zYJid}qo5U+_Agib0+t0q{sSeVY76I}@D#X&1CyY+O6Ea6!#klkUoYedNPaQ~wE1ZZ
zdy_#mNZSSvJ144bL$yJA8kvaEQuWetjNBABGTr3=Jy)m_S%S4~BaFKBW)NZxaS3V7
z-7l`iHVsH`LizO#@`m0Ci?j$;E*+Ps-H;G@>Z>e)RI<fJ%p8th0Ivn6D6vzf3cHD<
zMr!Gx`p<mS(18^)n+L+d99ix=EOm_HBo}+NpAos~p_U2MRDo0Ry7Oy-bgScI0s@@P
zEHS}*eT^%)p8aw2Sm3hu>;T5im_kMtEfcB*LB!yDe;0Jo4bOudE5dM1MRK)tL|F^#
zK-v$)FWVxbD!6&7Wq0SB7{THZMT(-3AZb0hCXhYibGFv@3h#(9x^VNn;d$Y@c`BL{
z-4bGUS&U{@=W9Bekg^9HuV*|BNTYD4!J=Jh`pQ1S9MaVgt)JRdO9R*ydv?goq|sQB
zT(5Q%CQ(G&1-CnY*ZKW0&uGI)8G$ADVWh>znW3aslHu1~URF#VkRRepdZQl?i8|oA
zd>lbocku$&H|w6Wy*(>l;u3~e7S3<#1LfdKRf!mjTJtU(B5wl%pP@If+9P)q#`T6O
zrJo!nDm@RNMWd;InmP*U7s{0ChZSmeWdM5`g@#<XIRb+!e?43_H|&6*&x#(28Ga20
z$^X0nOS>E4cp}|WpP1Be3jp{i*Lg)=16SJ05^Rskm;EA3qN1j;SC^#?V(cZJmV%;4
zDM>U;zuAHAUOHay@>|LYoMpEm4<lugc_lrCk@5D>C-)GrHmB|dus~xFcK57S9H%Js
zmC~^nD6`x&Iab^AZJ!QH&Ib*>r3^ve7R+N#wMEd$9*P->*sg8>4S_BkO@oI+g~Fwj
zLN2-Rpo&u3@?aB|I;M6a{OcmN0S5^>T<!@F>?}w8rW+I3vw40OqEM)T69gi3gTDaT
zyd)d}BFmI`#?Ndks`RV~D)6$RMusPqr@eO`15!~do?SdhJ^)p|rqClI_~274JvXeZ
zjhtCq<>oT_pc-<Wl7chj2ABele7}9+6ca``>LWBoY7DR#jvl+w<w%i;@Ur<9C=;9P
zMBCn<t^n)-7}XqJ--A(A@N*#B`I6a2J`v65y#s&V_`kQ#OfO3zvYMeb4Oxr6KjgVE
zc4$9(TX0z;#);z*%g8i|)oynBTmuf9UwfHUi6)ru|M*$d965Ge_pKyK$PzzjdPRMl
zp5Fak+oS^~qc}D{m0II)q^>@fSep;4HJDK8FO6t+k%Uw#*>ESNv%jPJq%)gKKfi{X
zpG@r)Gi??f^H4!#sEn0VTh;%(K%V5h%8}M(S~FpBp1oL=OI~B;SCeB?1zl_$xlaAM
zep0Q#V_?Z^E3mX}er29WoNwwnL#T$JfR%t-BVq*t$q+3X#5ov@ZcBZC1(R4ly+t^T
z8QXbo)kk$CqURX7wwqTjSf7Os6<sJ`2xWTEoAFQN^bHgwvX^LSI0^!V%82|Gf)$Bu
z5z(mlO=#k9svcaA^a`5vI;m-<31YJSoc<SEA4R&F(l^fPiCFq!VX?Gtqy4!*(ol`Q
zdzd0QbQMremd38Nexg@?^%L_WB#7`~#O~LLa)PMP*5Afjzau6XzyxL||M^n;_+Gr9
zn8o-1%=r3;1qbIlWXP9UWl0I)1=%p$+{9?TLVXG9Ib|3r>OtjC9iEKCzt7Njj6po=
zW^>~PoEj!<-^PXsrvgMgQG*8uKJ#Zz@kkJ|3UL%ow!CwZUZrN)oDa!3`UW|W@&5fw
zkbUNSo!Ee9%ohX`1WjCLH(XRm$9{U2J3^3E>H~mMFk{h$UzU2{A<=qfwI5-c?mr8g
z3HCPnl`I{DBDs6wGrGw~S_RBH`e@F`cLLm5^g)t5+F3I7ANy062C67R?`o`xAkra^
zDnB-ZL+Di?iYy3rNA_Z9vP0f>tKcqszVbL46MDa-oI=}YrHR+(%{t<PM6YnR596a<
z3wp=rs3|aR9dfhy?ibc#AsrbcZp<SZ{+^fsbxzrv9>GK&!J}FOMyW5!3c+fua2VN?
z@#1M8h<hf$w(_0NpL7V2vk8sXo5~`5*w6wD!`Gc^(LLZSCW$@j2DB@}jQbg*k1#7c
zCP}f5spSyQ?rPDD?!LqM|Ii!w`N2xw)TZJy1%C_<Wt=$CO7<6s(bRdk4qvYUdU#(W
zth!?VG18LgeBy6)%w5|tb7&m`p}YCi%K72}Sl%oo2<$8)Jl5OL`mT(5(ckn5fC3e~
z#AVRWiOIDvm5Gl`h3)Qfmal`INsEe1^)cbc?3zKr{v8lfftltQEkf$2>FcMh&X@ma
zpzM7X9YP3!B3aX$JY)M@;RS(wQEx;;sKD$~PZ0V%<#&by)|EB7j^PWDew2eGDA)?u
z@*RXW+cHI!GOe-t7bm<3YBnVxii6PA`@v>b;}_v6{6%;oeu*<Ve{4awWj~C<CFWcR
z7q5u!q(_z^WNw(QqGShFg&=I#zqI97Mus<C&#gal*kS*!j(ZDtgZSw`l#*r;GYMl!
z4Y%LfX*rOBMpjw~Hl-nTOIFR&afdCfTo1oq`pxs>`DUwIKSi;q6{uD9<D-M3)0fxR
zMWooAvjOc0RLC<c2DmaIefj)tZ+NuFMnDGoN3mxy9D54;>ZWHQPh@pPDlGdqxNuSy
z;^hZMgXE#4+R_?mf9Zs>_M3ig*%q`|7P(BH6!?A!4XH0@02K7(z3<0>Fqtw^th^#O
zz&*6Rz={OUSy~yUniD%*V5wt}I9ujo{#ZJN8UZmdLTpT21INZkZenU4bw_9g)>pp-
zy%I7_*vTo2i<|IOQJZBwqS??J3osUsyh~a94R95%bFEL$&brOaHI9gvo06qT3b0G#
zn_~>a;|1qP-IW+T1+VOcd&x%HWE6@&F(HxALFT1h@Y<_#z55a+vK(fnckAla56MKh
z3n(?^GmEM}vLqWx8LP<3vPlA_#g2lLCuGaBb^3KY4m9j2t6{daof!MJWj!x93U>(j
z+Z)01%X&gXMWxdsCv&WTTNr$igAl2$A-!3Z>Qte-0$h=pYs6^*%;enz0-x&MK!<20
zUpTP;y1Vx)=STF>>G@jMi2DLV+r7-hs9`5kP{BoIT5{rk&dcIGcMJfP1mN`$BXg_s
zi4g3J<Py9&H5AT+@$2M&MoQK6$>o8CT@Ss-fx`NjP30pb|G1=z*}xj|?5P@tBnZJD
z&voZP>}~>XQh1g3{|N*!4KMv1P0g{3i_3uzd%_d$TxeAGBpJJkcI5O_rDh22d?;}w
z4OBiYEQGQo>pN6EtKS?#-IfOk^8selK(UZ{&Ua*dV@x{XZ!ujt^byFSm2uqR`7Qbt
z4Hs@-qC;Dn5jIGQ7aTz3=qAujKPl5E0q10<M&&|Hj@Un;svfeTI_Hkf^XnOoY{JHp
zsVKwreOH}*nYrP+2VK8NuyyL#piLJ#4B;+^63<uVlS|W~V*F%4U<V~0hOHDHA^S#_
zr-5+M{CUp=leJVN^1AQF+w(>S)<27rwM5uBJr*Ln&H~0?c&OW>v*FsoaArFx4-9l#
z4v@6R?hoGHt#x&mq0~*z9m;)?yRCP2!WR2o*3z4IDfZsOC-kHS*|e5i{QgynHu^cu
zzhPja@%Lo0;+z;%=K9Po{z~qv$)%M-)XnudYQ?#Ybr_WCPc*`tp}1ix7<(kmLr?it
zd4kl5n=ikHw8U}4Fur!{9A5ek95J$@OZAh9tnx|`@*(c%28C2#62<BFDS1X(>E~T+
ztC+vO-}g+t1+I4UJH?(4H^IjquoM+UdiYk5MEimyEN*S4GU(9n_x&=SlWnw0Fz)Ki
zDAa~I$bXXFxmy5n*NLh>=4*YuJIB4*yF?s#ekKwW2&EN_UiJlhgM;LcB#$I6e(lOg
zJL@6`cfvKn%w`Tbjd|rWQ`dkPk-yg2Mn0XcSswmZmvz?0o!%OX<*C?|6lybKa9FIv
znDUC{O@TJiADL&Ai!JBjdQ-^rP$NUec_$yAWa~F4&U7265_$9Ka|BoWwx@2Pz)1YJ
zkm^=2+*=0lu5^1IFTU(~eE_GyFYG0j+r8=FTNsM1Xfs^xpkyzHcNh4j$1*tNX4E3C
zmo1o=pg*F@b~R!vn)B%M>mxwIhY9Pi%wwz8{`ka|6Lh*YE&>zTZhzt--Z&jMIs}@n
z;|l}xmUvAD5)bukFw#ehlD5G8(X^K8)`!!+=2K7?VL*ygH5JF|O-zevrmlgb8a1L{
zN2nVA&YjYIRUvt~`Lw-eESiqy=&nXJBi*F0?&Ngfx)asRK#v~+1s$Z|Q@%k*O!by?
znw*}8v%*1WE*G9xT(pY<7W*hwT6fg8(?C+X<ga}4-t*Jr!`^P`u)%u=u4+VRYjk)D
zwJj;g^768Gc@Yqg=Faf`xpu?$lFzXvPfz`bn#m@1PO^1(Z_OwL3ZsXI2N3aj_z%)O
z!F$gQSHy@+1$fKVsVkeNM|Y3?P?N64STxnGn0Ux7HzF{|5cSZX{JIktCg%^C0pPR0
zq86LEBA>+K-hpg=!4x(A0S7B-4B^(jPnuZ_O;j$qEZ>##N#w|7uW5p()90?6P*hYd
zFc+7I4bh25KkQ87oGPV7fchp`eW*v$i(KvBv0&F3KTE#a3<iGT7k!`m-r&6X$$I+T
zJp?_IncE`VvJ_j(wSpH;e3G1=&vi2O8|+%FAF4PuLQw3$m#+-7HkA~>cKP{U9jf=b
z6X?1K-y=dSvxoPQ2S^!Z<fs@rta;M7YE5c!uqZyvVktCHqgd4KbZtAcWa)ShIK!Xt
zyt;3WESm*PFa_*6UaX|8@~t@<UQUQ`lZsC;Cn{L(IJ_2Q!ih^W;O1^T;<PRjep0X(
zM`LBq%sAs9xDzJhq=l_lr-I4dU@+U>o<e6yOH0F><0U|Eda3Q0>ob)(yiWnG6Wp*H
zLtalg2(ygh@8YI=gBwQ#IOnZz`KUPu*&?BWGNTNjd#Pog7qMYKrfTL_Ye3{7(Bklt
zltRdiQ&yqlDR9Hh3-&FmFERjf(@J0nB9)0_W)Wj_hu3*Hf^ORZA0l)SS-k;0TAVU%
zRe3a8!mq-g1eimY$0UOp$^Zsc<<BYne2)zqi}~VT3xa;`ZOspzE5J&Ghmg<(!}sp!
zPsyo#$-$=<y?)D^r98OnmP`u?id0DcdbH7u*A%Oq#z(Jg$XXrqcXDeN$sh0@Oci<g
ziQ@u$D1sfYbjW;35h2JEHep;gWJrZn2-Srdk+Q_9!4~_ushXo@)#7ABK06k;k~v}@
zx(%u~pr-qhXkBoxjeRPS8Y0lmgK#R;@+(US?4;sl0b>C$W`KozDnmTnoEDO0^P5xM
z@a(i;YqmEsi&2Xf4T20Oe2^~-8^yn6oxCb|NK^oSAej^VYG@FfUR)f4{~g|k>ALY7
zl<9Rr60{t;%<<EL?~`>16NhS61?M*mAkgVuXSI<X#M>uJv|(?cl7yqKayFyEC&cI!
z?d(P$;HS(;7?2&(Q;Oe3V_G;mjy0dwPniFZBg1lD1(gn1a7KZD7Wy2&EAZGXLW+Jk
zLx?F5G?I$MZTLLRi8|`R-}-(MNy?hE7!M5*l662|ARo?CZ?r@Q>`hDwSaqY<u#_rV
zAS!${zIS+-mieOL_ySoP79DE2`RTWYGJQ&aKd1*Ct*JPm^I9~yzYJTND-4dJ!YL@@
z!0SzneEBuNA`6=jfrz`KV4=>t_;c2=0CBYYJOgcyZ47(oU%l5sUApy~CsW7sfI+`A
z|IM!RF5lXNnu@a;2dqFz1S)83qyhzy)<Q`S8zMQ26%~cepl!#8se%~tEMXBWi8`}I
zK`%)y8514MyZ&Y!L}Tt&zFPAUzW(7?yGc>j-u|T`@TvXR4eZ^uT*(HA_HF?A-X|SP
zzm2JTg20rJ{oN}-<jWBCfC-#Lk!Uj#tuMR!DVsW=Y;AxeAelCyjLnmku1JC^Kmh$F
zNyd6<xOMD}>(~7Wlr7Wx0k<{NJUs6=$PkE3auE~+wROa(gfN&jSgu%!?i>Vvi}8;v
zb9ez8U&BpAbdH|z>18^d?Uz&~Dkyq0&$^vQr#zBAExaW$a)J1U*4EYnRi_%I2#*X|
zB0-uxnr_M&S4M+k)e1ofVn1&7l%8WU8Vm1pQW2(AukD`t_1SUsa?>KP1P=R!6Umcm
zR}j%=O^p$xSQz@YwYEgH+t8w6v1iZhPnK_c@NN-V0tF#Kwd|>y@uLNqT+V#rN%;jt
zAF5Dlq&%{U8=id5QQ<36V-p?l#i%CtV{x75ilDIHBeVEwhs>m@$(=x-5=Dno@hD;Z
zGO%&@G8>mG%9W*zPAc$qV(!#uqtVl!_wUD#LQwKqmXi5MgwWtOq=qJ7{RRz@Hv6dM
zxtu2J2y<i=`rX3q(0o?1026XwHJ?8tKi|<<_GJh^Ec@duEF`DCu8q)x0}C!L-q={w
zcZdvBK0a)xzztfVQ`zq;vbvTk!O5kR_(00L!k0#yq_Msif$@#F!@@}t_SU+aV6C)>
zv5NdoSdCD21F7Dm7KQ2?r;(wd(%f$cds$dc2Qm))7_i;hHSxv0K)n^@2`AHnTS@|R
zZw0N{S(h2F+7tK-2o)GSq1p6!fB!~pM7`%u#$`s7D*2XV770l*<UuV`XLOyO7A#56
zz^c<Mk3AlGFcdMY#`Ae!J!O%?W<4-5s)EbAD_~-3Iy71SW~}9&7Evk<X@r%HwV)6;
zhcGN^R9E&FdvkfxN7uc9lIc*~kGNm8S43N}8kEThndL)F2;Xz>sLrZ{$%Io8T^oYd
zst>%Oc^G`5f?}YXbzkV=pSsCx=om-)Bgg^!-D0Mmbt*b@S0y+VQANZtQ=>{oHn<2L
zmyYF{v#QnT3i=lzk7=Z0wT@rikm#XrD!}u~X~0U0o9U;YX4U0!?fuba@PH4Og%3rQ
zsn+>qc+P>9s+lq(O_>(gXgNQ2xnH`br*4=-3z6P(8ePa*Xzx9SeTBi@<FBu$hbfs8
zUpVsRl+IY9oQe=L&D@}11d$mle}Ba+!}|+wFCjBsj!3no9A*-sB%g&zpIglwy`G^V
z%H+R<v4#564kKvsWZF;WLaE!z^Mn%>yvdXnUsqh5sVDF};9H6>w|zEdisaNv?KzLX
zXQ?1cb=ceP%J}%a$<3hUbq}$}nT2`BrFhzh`1lm|S=Z})z2nX)JATDk?3Z%d_aNTB
z#D$1O^4BEiA=QOB%4y}&MO*VLPZY|jK3JE-Ni<Vd5a7pjX?Z=aoWb(7(sJD?Ix86o
z8cv<kil3om9I0}^N-z?iIYCKgc`V1|U}xv@P<sf}>--LK2vMdB4R9y#;|}zNHxf^S
zN$J**rL6}mMOhF^`fnUO&CSh$(ijGS<KbAaAMLZx{zO&CXG#!Via&^E!q{@4)N6U`
zBEhI~%kao%<S@%Y;%|JPz+JIqvO%lBZq%C3Pr)A3Xg<WB0!wIDv>xESxJ}R`3IgCy
zA8A;}+PS=Tf!}aiFb$d9Zab7D#(^dUmKh0^1xD)Ue2_BLE2{l(@<kH(JKB7jt79Gr
zko+G`fM0DkZKUKABJ}10PCZf;!H|YILZ{(P<+@$(;m&Q0jUE;f;_LWbW{j1JcB<P9
zSF<mS5;zbTTc3enShYV!hCeQc3w-E+z$H?)ha)>jW~OUu>3dfCYA@0dDY`n!*3BG?
z>^bgsF3QD|W({p0uAvvrd|5p;`Mix)r^m|9&VHsSw=C#k=F&UmV{R4;AYCjalTBqh
zGck?TCHo_8c=ePjpXlW!VRaf4#X0c`v?K6i9&b-SJ+hi=hMF(Cv;=G-1PR2a@X}@D
zvGscbLFv{qJm;f0?1ZL@B2@Ls+tVKnhu_Kn<go1hSSMF{Qf^f!V?@X$wzVtJL|h4W
z)&IPTEvws%>2@?!vuX<RmR`clmn{>}T6!l3J(~)$xWca>708%QF>VFiG5EK5SP=ni
zTC7rS&^WTp)E=?>(+-4wfewKAZvexD2zW*gg+g{}HR+`Q-8W)Jx9afeF^lu=h!33`
z%7ez}a%MG%8selS--8CQxqv9>=;*STQ7+3sbe^ELXf|(K9h8CF5F?znmtm*5P(*bC
z+Q`>pt(ZIDSh|tg2AVrmwPHf;B;IDuios?WMdEVG#B$lVEf3ie?98$%0OA_YjpA0$
z%YhHplz5z1Cc^%;l1TTHSta{5{9LbV97QIvAK@3Q$^|AL>I&LuC}=~WI<O&-qxcp%
zOtRsJQOvpM>p}V(5oFoIdZcuG1Vl{2>o_>qV>xsR6C)#kDy2p+U%{0z`4{n+b2NwT
zLjPw}fNZ<fJ3^iTYmR;naUcnGo`}j&*lm3R9&-Brwf=_zt5mx{!Ak+nkG7szo7<|B
zL;IA7fKzw9_o$<Y)yv2uGjE!nffL4Pi9nt4mq~~FAhp3{+*mVNN{72z{ZpOT$u6?g
zc#4X^VFU(+XoLVE>bH>}O|0+`anx~o4)(_E2@pZQ{xjerfCABhT6K;WRjMSlJULqj
zX5%D(%)2yeLVzIWcqK{k?owIn8}gFkTG*EBX9J=6aa8FAB|ns9<3fJQ0i)1uOqJ{W
zGLFIT_Sv_-T{@LF{zkomVz-zxfUFIs=H|0D(U1VTQsBJ(ybNa0?C-_BPwIxA0i)=W
zWb@A;5T!fTYYu&Cy}z>ro-PHRt^>+eL-$<;`#ONx<vsn#dui~MlJ^Fpa47DF<u-0=
zyhP?Y$OHdu|A+8+S)T%PqP^jy7w}fkB}q@6p;Y#DPA18PhY97?$?JiM216|j2w{+Y
zes~Dp$4Kb`!4~J&UVeVLEuEdhUT?aK2@{6ET>0>CWGm&Iq|0?-UOY@T(vllW7_>Nm
zVNk$8MGZS%0RZuzi)|mF9i<3imRt`~Tb%(nX<j@uRU({<98ZHIIxB5eeuU06-gs~a
z68Lp?Bv|VMlE@)WELuc=j8+390(2qseU4_y2~w>+W<{ef_-UT~nG^Unfge)eLqUb&
zWnciqCJX|)k?smlmU6y_Ltku-!MVXP>zJ}2%Td967*x&VSG|HHxTC;;ZPpIU(qGy6
zu9fh6-@ZXxRynVl_nZ#|L><^)m+>4BGFynl(7_ju+K+^NO?=nj6c+iOJlQ&yOu%&u
z+j4HQpU;E!W7IrTd9G3t{qHnL%X?3E7vh;J4+jHQm${Sa>(2fNjJNGIqzPpW;a8u#
z>xQ(Ubn7f^z9D!2;2mX~;~i^OkwywKCoIvlH#gtLw@Cp1ZV=Sz)|hEFrzC``ZJ?(;
z0LvJ@wQvh2bD$|Z^j%)1IyadVVz_H>IEGyo$vthcA;3|;c`CL4b!HzPBwp|HjW-sw
zPRB0%CG!UdHWlOUjh-?v_*{~N0t+%cdi)^`pS6l4x9>T(0>B{5j2Z;iLR3eZ=9gi_
zpvF@Av-D3%#!90J?c$(|YXx7m=~<3N70VX5E*K|^g**lJtXAK5*QR1iHb#F3V?tnm
z-i=d~29U4VS%KI>#BT+C!|<n2Z{{`-nT;QV&Z_`7tIVWU4S+C%^nWnIR}L92RH2AR
zGR~MK{=m&6K(I7n9nP2e{Pz#PRspttI#h2xp6cte!F0Y?TZe1JATUFKlz2VmF(+%R
z-k%2QH#Zo3dLmtdi>o7T{r1IwdTjcy{kR?APeJwU_p+06Kk+v3`qQTWMIS=XMHt7)
z9-`^fFWnbSqX)E00e9;l$?3&feSPND^B4iP#{rNjZ?pBfrTeD(@w|rua(lW8e0d-s
zT<muN20&&feE7TDAy6#%+Un(v*#5HMkbB5S+}~Lh&!xkN>(FFSGnDe`(K=Qz9<;zF
z4zLogAWO$ntT32?3}Y?$;F~z^Gv&1Cpx*E31qVLRt<-5<@eKaDSy}hm6nRU0mmKV&
zDt(-UW3Q1)rWV&04e=T7OsW&$%AVN6hK9=5{58b)53Eo7owXf4ZvN}erQ;t^Y3q}R
zrYz55nV+|lX+SB`c*^xV1McIHKFYVD2kkCJGp*$xlS-K&ds)|lKI=3Qv5};FFj=%G
zqd9{?_+JhqTn>0^8Yb#lX{f0NRA;?Ft{5Pu?Ip?Wly|^Iu#wHzzgO`@lgEoJuZZ*R
zVle2|XYqJ8qUbl8aD)}}?Dm*76PhvlDWFX~6TD_n^C#{6$kpct*-0whI^7x%8IDTY
zY84rRO7oUEJQAg3c4x<;h9W%%?!>>>z;W}gh;fv|*rdi2;0<#5Vz;hFh7G=EGS{U7
z^Oe@IcY(V1^Y34|QJknvi`Gd|pN?vE<E(f*C)|C^&8eJtujHn#I~7aZ*F7l<hsgb$
zxU*OXNUHaYG~!VExOr_0xgcF|HzK7|L07Ne6C`QYRKJ{7ev0OXSZ#WR+L$NyIL?m5
z{Guoa_e!=~lja2X(P&@d3wKBf#F2>*$1yBH7WgJijf}>>(_p%RVhQ|Vu$7Y@%$)bl
z9u=4=)sP%#MP?mFHo`B@urbjTnzrKwP@@g0jiRF<Hm8e#@`D8@lq~f~h|{`|Fcu1;
z_P3y!H)_akv@*p_{6vIb4xb#sv6h}cdI#>M9v;u-xgJEsX<llDs-7G9T9Zw4j7i)5
zmx~%~OHr)*op<RnM8D7y&wZCVo<V@p1KGLvkm1Hvx~<5!7arK!hks9b5A$X2|5kLn
zuhPKUzUdQ)XO01cu((&<Phf!XZ#qKs_X`m$O!8yo^9v_o7udUDFoZ9*F+Q~Za5`H|
zJUB^ggAzN0`_4P@37?mH@W9uTL;p&+@@!l#uVG|dPu`xJc1dfWnBCUj<JVY{>JIds
z{Lfem=q6j!-O{W?4-+HOp{PQ}Sy{HW&g2~Sv0Q3eGh+SKWic$2<J*}x0Sf9BO=s^r
z#Q2@}YCx#%SiQQs@kBABIzBL^Y>A`&x|@mH5kL$ETR<uD2Y8>ZiAC6}`DAHQpdj*Q
z7uwVuSWM--aI>&^x@B|a*7_ijVCfimwS?gjA;9p$$_j|Er&D8sAY53@ML;H-b!3dK
z$?c}3o?PeMKh&II?_Hs;F0%Uec86>mg8!rGEQ6}x+Ae(PMw&xPcbBxZbhm(XcXvpq
zbhmU$H`3jmA}u8#A|is{=9%wx#$O2I=stVjvDUR*aHLIwL{_L;b0E)j*9jYy#h=mi
z`9RQibcGI~kc@RP5YGQcz@OljcktUSn`dPI`sk=E6-ThVxva)Bj1!RKL09Sg^V_^<
zhcGE-Gy~iig#WlB{%&Aa!KXIt8hv|_-x{$b6(k~T(r{tTgI5`F09iXfy$bAB+;5oA
zZq$z>pt9mhDE<_W06(Yyx;!`5ib`p5*BJ^gUcbs6p~7##{#GvgSJTpQ1zk;gVZgd@
zcV=!ABkz(}MTHsJIgy_vulQU@MP>!r#iiVgy3^vz?Bn;ipmE&ppc>Q)!^&GiKX}i|
zRc88?0D@=J`Nj##fZxVQsz`^s+3MFrZdsYdebrO<KP|v?y0IX~ub=TEaAtC<=^Q%L
z^kU<=up^|rTXQj@pH0zWAo-Qpk6=`sSiRz7U}V?x&Z0l+Axk7@+H*4azZvm%Iyj|w
zZUqlp;A*{V3wmf1YDj<1VR?q!bqeZqKWtw<&45M2{cO-v2oibw_4ADP64+nf9sPSV
z^b9Td8yWOFa`a`;-{(38xLoVc|92+A@Z;he5Qi#Tb>pj9%I}6)t|i3{L*NW%8vjt~
zwSH^CNFt~T8^c2LK^QV<|4xgHjjhJGZfky)%eAy1MP;15X6wsm_G`$V(u;`dLnN5m
z`oW1RX)u;z?O9}S?LYKxdAAprTk^GJ;Y64sXLA5@u?ay(|BBq_`F7>X?^&N%>=3bR
z9RGbQj(1ClATy&hVLM4;*DDF9ni8`%X36rL5$$f6PgKt?(?e(Le2<P9eT3c6^6j@h
zpWlk2(`IX_A@{<q{7S@2-dBqF_-pO#30tmyH^2!61fSdAvsY||ou?aYvRCzZlW^|w
z+fT58H1Jzd<j_}l&YaZcz6ERw8fCj~a!bo1_Q0d7-N80{D@?>tAO-)H>&l3?j@L3F
z*hA#K&-(Ow`#a!=fp@2=xjB_aj(oA##;uVsLO4r$etNbJg{Sb|9)%qQ>TO;$dK)ZD
zejO2TQHdb1Mu3#SBwA2JWH}VEpt?L1fUmc1I(*BGX^u*}+6!E~>X4c}2#nF@V%4x(
z6vq3JY_7~mk}c?YJ5|i%vK_t7V!j`GVm9fY%qV{z{{CY6Q}eQD3*z&~<Cw>6$mRT@
zmlmX&xBg6r(W8q;sh^z_oV;Y1*M#$GCy$pgfzs`_O0XY(mv=3r@`E#5KTZqlpq|G|
zZCOyLgOR*(CKU-7#VMqkqU_V8KK6I)ne9OMVL*fC#O7#PxQDDm*3u;bWQG6!tbV@h
zxxDr55x%8Uk?;Zkex5&my$JXwxjKyxWZC~fhUxt!po%rEpLe=GK3BJ^Ptj4&hj9PH
z>p(D0HY8ohCF24G$5fV^Tl31`?iH{iq$tyHy;2lFK|)4mSzsGPu|&C{*DHn5I}%^9
z=X(b9+=Zt`fcp3<V8>(oy|i!|BNWBWzBAdO8s@ADx6<?t4|YQ^h_<{}0jGfk9nl0T
z&v?_T8ujhrX*oO!3jmUNbEY#Ut6s%Wm6l+?kf#a|tS0J*$1jrI>m3@I$#}l!b_Bni
zJ$(XDemg-k^sVd|zldFBXEm3u(exD;IhZ%_2vpLOrW;CKDLibIl?vh-USS$Pg=d?U
z-eqNUeTe%?KG|4TM)w7;)`NHZQ&x6^dKoo|24YF@u<@w%+qhHL*l%mB?-(eD0P@sZ
zSlKF{kG6}lW=W3Bn(T8WOUlZh`8O|>WI(+Zl*k5EghP^pj@ltiZ+f$!55Cn#Q&@C&
zbHf#)C#)P@M3It&(Jx%-Te<(D$L<4rJy#?N7J34QXu>K7y>Rcc;G<qi1zJtO2V0R@
zecoB!pG>Q<Q){NfBuP!TD9>`>-&lokYp*XvmNkCgRETY3eVz68vc|2Ea=_?lL+_Hp
zpje7NTcOP|yKDkIc|QMO{ANbPtU+~>j~CUv#_79wq56g!gF!M0BDZ8COdnQpzbQh^
zqUd_{a(+tV$;L)Dr?5t_oQQ~><dK-USSthjI|3xXPdq%Bnq)_68!sd|1$B&BLiuq@
zvy3V%$+)`;H8ic8^9FG%DBfF{4td12zCd^ZOu_Xo5*S>u5HB@L`xzCy4$c}U+3#bN
zRItWf$1=~w=FUz2-LuN*_kuCU+Bo)ia0Q;VZn=z-Ngy*Grl^SCPk<M?Gox-(!0Y;W
zV5E!p|0~KY?qlEP72xRvVD!7kabvo<WSOx<+%<SoNR+CY+)qT(0K-Zcu0@XHi#?-1
zB{nhJZ<rA@#6TZNX;a%F&d7lYVM8Fk$EuogPjctW0)S1r*(Z;(V=OTW+L%8JQ@Jv<
zM(q05#mRjVw4FbGn{x@cf18^uzBhnIP~fJd1fMl!lckz<7U#4KegsmkPDj~2Qv-tr
ze>jitgV~8fhq2K;@bFBz*{Piy$6{vM7MZ2V_zYiV(}~X)3Gtg!IBsA-b}{|e!rB>k
zWe*}d9^%b*=~VRy4%Df{PVCYY*>^THm~jdpHQj5oINS~gHcebyTnr~-w^RHSKM$q&
zCuL)ADx&uC*>CpR6p6QOV!SU*^}y`U4$&DgrXXUu?Y9oIdew$Xz1hnP7svrseK3c!
z63#N_Vfldv!I|bYR&bEnyE0!|-*80>A5bXbXJ(%PtS4rV4D^2+i5WDlX#|D0EZIp?
zcoCF|mSRa29HmT+P1&M8!zS>mnr2D4qE6e~yiRQh`q^c9%8?$*<eufQ?m7epQ3i^^
zp&=U|BBm<ks!8n*t#=A}EF33lh^k)<sSm_T^R7r`F_;geWb=fWK<^VzsZL9j$rCmy
z7f*N+%syD*i)sv{8_%SU)kl?&n9ctT@1j5?Oi}OutlG$l9!g7`pldO?_G&MlD_-sl
z+b+(B87oaTEm7J7+kt<%#rd*I-%L=6XH;Ul^&+})Ll1^f<@^(W&`j>xScVvOmef<c
z9!C-%Pe_x(WC@VF?gZRTTQ&hxedx>IeMkwU0_rRT0>_||eGUGrF@rukx?{P`fFi$q
zvEy2x$AxXWz|L1**;FTj$0~AbLLNvpL7QXS(%FLp^eNAeH5>$BaCTS|9A|O`*!krv
zK@R1xi?HsUg(6pT2oa7MB4Z|XDYMjlcYhQM4TfBt%@m6jxp&Y>3Ogf~Ua7j=A`k70
zq|!oo2KcB?6#cSN4cWg~@C(oB<!IHl^<LQ7tM64#E$}V#YsY?!wB@+vsn%qQYlvI(
z{a2L5#fEa7>#K?+?yMD9qskzxVd_x#-4Z(DSSrR`3fq)b@<?)K3`4oE{FSWYat&2t
z2*_#jbZpaU%7w~F=`hLyzDr}i(2ce+lo!P4(fhzogl_rOXD%;VUv{~-!I(LyeoG8L
ziw-qGoFAQ^J!6tU13xLD`By+tj$$By4P++hxVYnW*km8IbVZnGqJ_hgMeY6?Mz(9w
zPo@#!cd2xfH}1F8x0M|$T-h$O`M&e{U)j#2HP3?hXR#2N*Gw*vs>WPeL>g+@Wo>jB
z&+(SJ>(GHB`bMc6DK}M}=224Oq7LD$?oXE4UfUk4wf;xjmOefL$bnU#@11MB2csP7
zctYx@94#l0MAGCf9(*xM@vzr(k^4uBDXq|4xe-!AWac0hiHsb!RVg$iChd2g5rX6&
zqOJR*98#l?Abq<r|Ax&cDDq)AM)2CGM>IH)ifOkC#1~NGi;1<GW>R%<7-r_0G^4`*
zEK^~I(5N1NxWO#2*tsimt8y$)bcVlh&Ek~A#(})C{))w=A)s6#g)+8_1)FNEAGs^I
zgZtw&j1_5P3Q0TtF{Hs=&+jn`y=?TzHgkhOs&$%m^Muy3Mu07Ut;uRufzr-wW)gdm
zhio*OhlIJDsctcO$n!|z>^G~m*j6fg(ETKMkZS?vcn9!i4Z0o$5IR9k1dd(61wpB1
zVA$I+$@MhK>2=E4>EM6Qb>)A2<IjM={dX2jN&JEH^zruHzuO$PEtLY%$6sxq$?C4B
z0qONvIxGq#N_zu2d}fs5B1@V)STlAm-;9im{8`Tr(UxOLSmYcbvSMR=8$)C|kr%DW
z+g`jn4B;t=PjW9(m0jd%BR$#xEfCA(`;}|ss~`_xO)(SP-=cXh%(-#Q8{b_M>2)%i
zqG(}RJvb5X9U#zEVNQ@un<{6{r(o+A^wWB3OG?lz*tNsndCh4yA6)@(X~jRKWR_n(
zfYdadgGQn9LJv|1*kys2cNyB7+PHa<AoH=B(|q;@cz7;GHI){nK(9ey{8iQaLIFjW
zx<-=6J@=!~>p~N#*Otp0;Es#Y2~+X#T6LL99wHY$tt_IZ$7YTgQ$GsUuKr;vyWeCT
zS@TsLQ1;A=;*yw4U8%QBT;V_UP<R%p2CrPZTt;HN-Li)9)Iif8b?QKT(gz}U;n_2v
z{C}FACC@GouqfCqJ9>pZ>@pRMuK7v>jXH!_&aT#JIygfe7N#PMvNW4E`(qp#veFo2
zuDnVW8_V9o;V|uQ+f|Ym;UW*f2Da0M70?78FD+lRdl&0h3RiOklAo9swiw3l)yU@{
z$`7|kFlQ)ZD`c6iA&mC<M|?i?;ZHF8mdmsO#uf;4jKV!5+-g?4ShbBX3&EP)p~#7;
zMJYHKtoZVHU{YLEi+YSOds8=!Tv%Q;?Zuxd3^yi)P)5|nOLP~@((~g%l7exXM+jF3
z2M4B;x{^m4Ra#EvvXGv=smGy_+4k#r5mE?8ob6VDUaWjfh5uM<4b9usT;|OLC>-z(
z|9JSjQn#5a0QuD2?aw9{*b%_gqB|HRU=4|CUX$MverMBG_L19a2GR$nPk+u@pMl8R
z_u}M1f3Ke#?^Q>iALH~lY-+FQrap5>W;aRZhr;|j1V<ip_5~{{^rS|>RQ%kVFM!|!
z0FXcY+8;VQcm?ugnuKH-*$q4K;KhR;Pns)6Vs_4MLB`^;MYBzI%6J$h`;{Op*NE$*
zeSdp`;W!+RMoH$Jcx7-YOO!5D6J0b*@kbc*j8BU`s1Dd;HBSq8glG42RZ8%Q8XPvk
z)ys1wB?BR9;MG?0zQ+GyqRt5O!8;m~y>$1}yew=&f(s3CF}~)k0T~8=jfr#?3a(}3
zC62w@nM#}eKi{oiab+n23r<BqW1mHm)j+ZLRZn!|C>i?u0>>78n`{|19#Tvf=Mgd2
zEUCh<_8k*(=i+tyFP0gWgB%8IX^Z?XHDU$vMQ|waqfpW}?K!z}JP!q`Ik-j$2%mqs
zIlO)bEqjCd{pS)>a9kyoyL~Z^RGd04m*lT7{!|lMX$30l#!Q^#%ycfN&h(d_ei|UG
zW7LI;wX<;!ufIh|C2d`Wb!4rnYW*_N6fAcLZuVeD)_%QcSC8Qw!BTJc(MEt}z!P(~
z%M!|UgPrT+7n2~h(2QV&BYTe<O2!@8?Ad(zX5`}sQQxbt{b0CBXjljWfvMjl#EtIj
zl_tNF+-wCD2j#t<`x#EyMW6{2N2Y<1hr<b`L(h^_Tx(^8G6ipPesv4d`%<4zEubiE
zE&c7Nj!kOfZdVM4A5OnCzGr=(SQpmvy=8<a3sZz)#YThOlPpr0?oHgBIZJ}s%)PfT
z2)5{mW%6PGQBY^!tN*^$2+Q9u0X{-LxJ8p>>giNYX$2TH;cDX%hFJW&_+g1t9TVt#
zp^=yzj2D*W9q4jvSxigzR_l50g`BKuz#Ios`tYP}vZ;zK^lorI3ACvcsjdN~i^Y)g
zgE_qi`ck$kjKo>H!zL0Y=~^xFo4_td2M5D0PPydSfbVWXug3^`ufosV&qYB{4s73<
z(Ou`;sJ_dI=b2Gn-6x<I``iB_P}MFz>bYP5*&C<3&cC05^*}QAoP7R}z1n>QF6npg
zZmV=e>do@Nr>0h13g`mb|C;L*?p}9>5J2SRM@jZoy}<h7XT5vOFJc+eQAM9IY{-w6
zRK(##k_eQn;w7Zq69&Y&EfmfP=#|p!dS=9cCqGpRisIjo``5t#UC$Sre}hB$itAOX
z;Eq6ty^Bc+&gr5vWZ;Xj0-Rk-u7`L8iVMrqynFx4j)N3!0$EM|QsS|p6-o${0t4U1
z#IAOchZl@tP(9~x4CFg{dzCLzn9JUA=cBTt>4tra{<P5Zd(D{R>Tj$~dU&@zry5sr
zz%Lf3e%|yInPc<Fgw56fq3Eb^36qEgb3r%a9PG^l1u=M^fRMNQ@^9<>CPVlad2aL}
zRC~EX=@t0$fS@h!|DpWj6detP7<}Xa<)=Db#?rSHX>=H26^C)05agoFmktk$wKX-l
zDvL8mgS|XeRD48o?<*Te7KTc3fw8yiOkQ#*2UAXd{qhb>*R}k>`Js{TNB^W+__gyf
z;3v&h%<=Yy>xxS*u;!0an=`pkSe69*ROd-@ht*Chn;g#))1v1&aYqG9;Jt<Wbnzij
z00wkCaH|2w>|R&=4E0!T6#j@RCx;o}og%ZE!fxyLGh1R$b{vWyy;7{o0&xLL@!s2&
zMyNV37JP8IN|S;i6sF<WPDLiX9;2;_6wYd+`bK3EF=f;3;FOyVOJ%D_rOnxP^a3jJ
zhlk!-0k2R6SRUA+V3)Js&iq>d4$>k3sH|dVzwLiNQmMoa@1avH3Zg|4amq~*ejl>;
z&E!}}v>=x%iWyNo?UR_WPaaP;aBD7rWKgKHV$C<iX<ey!sl?x_9IpSk3A-2QQYck-
zF>KSR2DPy;_k2SQ7}ZxVd(OxI?p*Ep{v104vJ!@$2T@P!1&?|VC_3VE`3&@s%{QSS
zHS!NN*prou-d6f+|96yyA0D4c`R{6;ixQzn!+!upo|uvQ_?#Rj^yNCifB*Rp&-x#6
zzkFC51z?n%FF(tksro+K;B(_2?+%LTwh3pjCXp@F>hs@?f{2O5l%THJ7o#cnyT!(o
z?7WN&v^7gNv4log=(T3hiBHVQM9?*9pre<i7LCa#;Zlv{+MsAy+L{o?N-H3X5(#tW
zH^dTtAnh;|C>7{Z?lGEetckoca4aydDfCHRo0LCE0&4yAM3)sG>G1IC{Cq~RwFHy-
zF?IJk9`2yicNi5g<{ZCZP{UzSV1&Ny=amnwO8;#JG<JxY%^RHD3bWBOa+T&Of;}{B
z_V6tMg~P#_Au&U2ls5rIZXkQWX*9TAyL!9Sud((G!88TFav|siLOnZDQ?a8>8`_zB
zu76Y~t)`V^+eDzZz%KPctzpx-{N5iD<h4;+K%xmyZp?*=Iqhipt<LoxkrVd8WYu_^
z<2^rS-H~Nm0vhG>JnN>qBo*XI6Qd*gh%K~U3=a>>d~BG0ifi}_hbZn0NM_wHyF%b0
zC`ImfMe;b+fdWb|D$odoA3Yupn%DE&{k{F-A00r%$l&n)V2iBSYUxlgi!`@%$_a}(
zEv)vqAn*D$1=D8Dj#cmVKk$Dxsh?W|_EmH#SeeFxhmOWP_NctURAngWqrlBiZDH5<
z<087kFaMP-*~{A?RU9H9P8Ze~88Y<e;+pW4V!$0t3+vVU;ZrKbElCd_j7$`T?WAaI
zV*OILa9;bAFOJ`<$1o=LtkP=au_`wW@57#y6)|L<_0p@1JcIH2`_~6an|Cyw`w2pI
zq5+4lK46{7a1kSGfO+UDAeW5HiS`~(Dk{HrfWX1F7?R6Rtpl&2t+!Y>-|V8T`Z1~o
zUI_)$&CUl21E!OqF?z)W`dvO`JXc`VB>TwCw#6B(`v#=pfcTn+=NlOWh@5>O7tv=S
zc<FP1P4(xQFa+*$=SZac1NztZ4Icu|72f?>0Aoe4RdZ8#_^$;2v(nb9`&`j@+V%zQ
zlk7l(@4AmgbZWf-s^Z^@)8h*G;TvAv`(z-|h1JPt@)=_E-$u?zMi2~h$#5e~KJUzu
z1eDqk!;2r#qf5hzz6t4r&nBXENpy9Pn@~qJ!+>SY@!_PC%SFITowOL__z|v2Iz$Q&
zi*1cV#0ZlW99G&lc7Um&8#kbKL`}S0RmUTC#-kKDxXXvwSBEv~@;zTw{!qdi)Ie<I
zZ6dL;v0#v<!SK_!=fu5ARd2nbs?%tN5MAR0G5pWHrjIaOa3+g}5jOcNN(8l7&4x@2
zTpncPl7qtLofnX@u@(lA>g}9rb*+n+4PP{-*$@z8|5Tqy1BRl3bbdbNTv>oO!5rev
zuT5?U!;dKwF8M_oIY)s*5NQwU2aICRW6dO53~ZN@)ZZLUIC~=#Dwh)*XxQOcL?{Sb
ztrt++ChI;m=3uBjZgL{Ns)E#c=7Y`wtqjWhR)#bg3x#yc(tuIVm8@BhZBT^(w`q`x
zxcs<)mtmVG)5TT*$bKdFJ8z(oL)~A5h(WOXDxVr$JN);CqV3Fn_g(@IEd}xqU%^qA
znBhHR4%M6&IzC&jR4F!N%v?Af5eTffmaHOKP+Ac-F<FSHcR<abG@*>_>9@ZI4pjd5
zdfy#s>xZ_MHbvDSZx1<3Y9Gkfx?_Y5L$5x4Hefb5%_YvX1O)r}(5p6dGy8u}j~N0g
ze;x}*1!>;84whtY=9^^$0obZ1n|07KtArFVl<Zv6%MA$J2?Khu$k|U_wv5e-Us72;
zQ#Mgp*mwGYNZX=(Y?IR1FL=1A)hdZ?qQyS#bzEU$63a32Ad9_?cdd-mZhFPPoxz5L
zpTapES4_+cm?~=7CHYe<0;tlpBxedWu1iEY71}jo6dtc$IuZgoozeU*t^`o|INApE
z0wDnMBo!|UU;J_^5#>!7$BXJwTMpRw3|fXOq%fHSsI_HucwCv{(O4x~Ezh>o>L!gZ
zff5rrcW3$B$E7ch|2|jy&tRnbz}xEMnLKbKIQeaE27-W&%Q6x1{OD&p#q-x*dVdYM
z1hu|g^53c1zf(?6M@}Gd>M{U35)53<mx6;pdjRv*0eo{jd(RPX{rxiu?0IwjTo(a1
z^K-TZ=s-c1xR2V{gVawp6<$UJqNE9Rgg6G7xjrHo*hcs~O*B}s1tx`M#XrHlCtQOT
zHdW0ldg)nZAbmDJ0QZ5hLGhzZxNs9EFR$8&PZ`TdNo4?&6*N+AZ=<y~Ce5u!$w@Ha
z3Ei9O6ok4v-fdI`LiBZ60nK$wKlxMz&xN#lm$qow)YnGNAvnF#k`2DK&$HbrrZnp<
z<tFi1A@Uh9K!pCZhp!cV%h2d3^B&4RAJ$Cw-SXOc$WFuQF!;<d=nHd|=J}gHZ7q_B
z^CjsHcnAC@$|DAt!G#cG&Ok2n(yS^gyn}h+$Z_Pap6K2XuvpK%QKBr<<LjYw2C7Zq
zw5$u;fhja#yIZZy>6olbSC=nm8!R%9&|ce}#PQZ}$V!~9S+P;$cArYb^P=IFY_fok
zxG_nL+bubnB=%kw2>UFY7W`mv6kiQRhR`2)%E%pMkSG7ps`u6Uj<&Y3aeDW#Bsv~U
zT1MLt_34r<aX&slyV3S_9=%hcsJV*iaGN^e0>=SZTx_l*L#!;(&~8CW(9dsfi74Gk
zK%7n`D3a43SEiX}O_3;FDSn;*yGERoizExuW$AWdO(asP<SaxV;DRjy-nGJcYlG&C
z@sbYSYvFW!rDTJjIM}u@wfjJv?W63CC;dU>7Z8GnI_t`ILFVd6g@T^`0&qL<Du15V
zgFdTc3DY(<e9c*Eaa7P{;D=<<mOdS8p%?P^I=2ZK7e+4Rdk@RHU|4e*9xw*)u;YP#
z{$OFj9c0t-KtJ^SG)NIdnA+Rrpk#BmHCA0M;<~2@>-|JHjRnb;;ZOW!&ehQx@p;}F
zOHGKKX~qB&RT9d=3BOs*zG4gy2{z8LXWUNS!mOZLu%Tg!$y%`C2x~kRNN}sYlz|B?
zk3j&(G;7c2%X4g+3P9DaI($|W`up=_an?QYRrfB2llLG=>ua^oJD*Q}src{V7W^Kf
zcXW_-b4<xoHZp<2_Hm<>k_&r-5&Fx&_dtvRT7<uQAgAa*?%e|W<3e4$3n-n0EP055
zqYq;x0CyX`m}PD#5l4oxyiZ1Kyag-nT=5#2OHw+HiiBvt45DF)SHwJCy!OF<b7neI
zqR4o&^<pTc217#p8@SEH;88%pRjqWg_b>aZc@=ql2*n_LpA~ClFPZCEz$fzdZdiE6
zu*w)b^Ro=THy`JL#1-%$-}TP79^*3}f{pHC{2MGE1tU>ZD}jvcU9pWU^K?b+>j8nl
zH#OC;9s^q*$20Ps<Lx$0C1prw{wFm)#rY1}HukDaA+%d3(CX-A91|~oQpcCtJyr6w
zb@#4xC|D=*D@YXa?=@md0QWeGA;y+p6GWNeH{{VgxRn~PWyqJV+Y|8R=-W|BeVGp+
zRGGI2f3t#9Cs9SITB^xCiV;DLC7th?-N8Bu7WA<kBvs+q+PHp6oQ}w9UmFMhHUv@1
zVP0NIxscvHJc6Gz>XHxn{OOY_D2IO_1FEO8a+lK8WuKd@4k<GmA{viy9@!~U|KViD
z-Nhyd)%5Mj|CVpi`aVYXMj!lc3XL>Fsnlv$=C3VSN1aRinCTZKfh+R`Tk5CqWnTzf
zSMqdkXJ=K5s8>SQu5V4|$FkUy`()x`4r~XL%px2BR*FbEMW&c+%xHlr&|o3>@ba}N
zDQ4HUZ?=UF36EZS3)o@4qK+yClK^u0(F@m3t<WSmPHbhF6vlLR+q|-qB<eS<0^!F#
zfC;hnsfHnj%DYoV>Z7iKo?eIhi8_CvIyN#Q2DKyf^#a?Ot2#VnvlTQGfbUB>`a$?d
zl(Zb>3A6%XQJ!0wNTY#3TVNf!c3a6sNC^*#_*(cgI+><p#jgeY>#$`+qM`Zh%Y9yC
zoSxaDec5z%f<mcdWvw2h*h1u#IZT|R)V^%bzj}6WBleEy-pp0#-4Iy69Cho0JHB3%
z=`rwMmOlsN+3R!R6!f6v<huwqj!*e_-Si3j7eVA;-gDzW=h%is5*V^dEt2p)RpD(k
zRK4sC8x;hOrcUj>ECU}S7X`PfD^`@gv8l18Y_9VwEkVVx=5f=p=w?eB%c*lJL~2VK
zT110)HX@$G)$;lbw23s6>cIw>=RWT3baD%4w-F@bNw08FsYIe5(UF6plm%hexZ}9J
zmoJ4p&pYXbh^GFh1z<6)^}vGffN$RCf1TAh_!#)kLDT?i2w%%)OkASZ-ID9Tvyexw
zrw=K^tWA?84sAJUc0_x5kYR{{LP*@qvX;S8nbA~GYm3tH{oA+3YVuU<TWceVu7<B5
znT(63YQ40Rjf!YA4yPQ4bub+~gf2@`Vqpfu(D*|QeT^i7tJJR-4)3FY5bl9st4)%e
zt0#(o?f0&#AOUlTbi<Ln-8+_!`Se}y<Qg2+@OUM9+z1N}i9!?0`2OyV*G_(jq5VK7
z+3q8_LW+H(`leiiJxv~rlJ9=41E3TTKd@h%mn$H@P9~sKy;wcFZl7}$0-6bjw#_-w
zmYuBjzb9&XiL8U>q4Gsc@uj%7U#7QIT~MeNzmAJ*v>49hNzg7FDNajRptg0yPSb(w
zAYey@&B@xlE`}KzY~nVP)F76V-N&Oevi3o52p=2lS^&@G{nskX5DPt>`qM0Ks|A;?
zG^6g&nP_G=-sVD~(!H#t4R}zcZVGJ}toDG4e*g@>RN2{%h<@Ko9{U&}b0q5w9IaAC
zE0u&q>5!R-V}+UMD!-A=C#pc^SjY}(&6KyWM;1#a5@Gck#rkS_EeO0)goH2v@2^z8
zc<SAE6#?%Z23r=DtMiLg*xQ+-;%C<fO=D97H#6LR%Okk~`3`@yM>MeW2DMF}a?sTG
z&a*nCm;P5kWcDPqb3bFXVddg-{Y*a2+4*~vLa);M?>SKZVdt|#XfC*;6ULM@U<e?L
z$qX1u`WD1g^lfD=bePC-!Pvv^sc;dn8HSk8Y?j{BC(sOUDV{nPtA{aX55}kMdFK`{
z$s$9d(2=jQEeLEdDFkdFeKaA4Tn&yB-ooDv^95^C)krH$PE&rd$|_O7LpT<6=^Vb$
z6$8!-2_(uIyaJAn%5=C=QzS=+r32sr?ILjxI7xXI2CHEDx|xw~KsGk4osJ?b(?@@p
zNvm?4Ph-`Rsb)K`tdiXdU^|cW=^lP&TXKZM>S2J?->^<>P3i6=U$|n1m{!iOpr)($
z=-w33JBS|6uaa8EfpA$WVCANw$PH~pp^_^htHP>;k8;8VSMpG^8p((hxJp*&R05|F
z|0IP|i!M`Ilf7rF9kdjdF88L~KAJgQMxIoE)C-3#U%4Cz4;QDo5yd1O@yA{<DD~x*
z&<dFTBOI;wU9N6z*uAm!L^8#7OlH?GPAa642UN7GRHoRU`e$TyaZn6-zohS$Xi}>3
ztt_gr?Qr@ZIT2>ZWoXkiF;F1f76$eO8|F2dOb%wE(rS3pNh=#X(-K9Wrt{+(z<$hd
zPS7BT%H;c$E`wMic3Cnm<c7HJ%yLMAHVmsvi|BfxNR?rWVKAL$+*|n9!Y>oSpk?1#
z#(w*(R=$zHKMqHf;gP`^b@8nMp*y91ojD(L6}9T+Vv>f~Xr;FW=POq011<Ki!JaE*
z1A+iS4nrm;!XmEF$g);C&)!MWZL&HA^s+;(YN+(qSJc2I?2>3kDF`_G@|B!hZe?z+
z{c&h4hsa4sk5dWF9NK}tHZ~`Eub=+AN_o~RVV)HpPtVoC#%k}cKDZb5O>aR+;WHus
zIWrh=NdvEj*#li($?$^~GcWm-GmbUW#2&@|!m<o1v1(SFO)Ux*GK45eN*)0V*4pxG
z%bA%b9RzPO91Ih>kDIUtTyjCO1Q3FNCaKq)0SgK-D}ge`lR_YJ$cPdU?1K0gJ~J2J
z!kkn{NAKzL#yp9wMLap0>UA$6g_$$nV*}*R+=0zjFu3P|qOa`5R?0(AuqJBc-y2J)
z;az|o;Yv*8yE1dV5plOUNMVRlYNZ7#1;zwRA+#n=kJF7ddtws^+0HAMOH#ptsMAX(
z>FS_4+fXLBQ-hbKP1CvF^6kOsmZ+osrsv1`Z-dcIc_~WVOh0(EhJtBg@*51)24Sc8
zE5gq4SPRlv$PjDLrPws6ZJf#w41}+L==&dM`+!f0JR{Y_ejgASyb~6^_*ZCa_|l%H
zub~^~bn9tMs=1>>VAFd*!H+hx_LLWn24bxgJ%V=L*L?FW=$}_-bF*gss#CUF!J#NZ
zXGb=ndOni44_(V-{f<L%9xp>#92Zupc~k1Gf-eim14QK6Qz}T?=+=v|l&%NvvwSTn
z;pfc8?Pl?w|5jl4aQTB!uyqC^ku08j;aMU7-&ZM8gC=I%R(^$pVsK)Pf8iP@lit+s
zzZQ^?AKXohia8)j-2QC~CzJDuD`(o#-zE|o(a_k~Sau5>Wa5^D(jy_J)1wPZwYUlU
z2Sq<}yAzqrel0V!hcF?;^*3_P^sS8X8@iAym1g01+53@XD19m86j#7OYu<H@R+)aC
zt*esJ2Ncc4Sf(BxTFCQ}xEC{w!R5ZgEeS#iO-?(#FGEdZz{~!3s8Iv%>G?4S6O!>~
z$=c@5)34dbtyzaAs~)3&N1%xV6O!BKEv1)P7--<u89Uf`U~N?)ke^GwgfK*4m}(7+
zAtn|a97YV~5Hl~70}>KyDp(u|a7kZvYH2p;N|D;8+fEY^zt5^mkd&o;#bq4D2!mT@
zgWkmweZI%qD)i-^J}s4LjDa9iPp8JKEJ{uSmO_50CI@_AMsB*_bbT0t-o|;J4##D(
z8s?pFX-A#W)0eLkgZF+-MOKg&`!VR(7Z&Zh^QwI#yG!nZ>}tnlvI{?vmQ4q*SC5C(
z;xtKAVG^qEsbJ(IIT?b*s2C;`#9*akQst5;sLYL#$KkMGqOquaWZ~7AV^k%2%NAR^
zHZQJcJgQGuyice6E^kFhAAa4=<zIMqo!yz9<+{!KdtUH9>ZIq}a-nE<ydu|<-YFb{
zDS&|qu6&P|2Ok^P;9uFSfv&}r*4lP9e#-Py#+*+PLuqlzBfzUxO5#;og)ldFXw>F!
zZ?`ik+*}$LQ(57UGGj43rt*}knBAPrG!q+*1Oc_sP!~QfT1uXT8AX+yu97>yiSJ(E
zQUucZA|CzdZH|Gw!(?OD8QLM#@Bxe_bU;2EOoXsT5iWCeRn)SU;wcWH{a(<!SzEjG
zo1A741jQ5Rqw2f`*D2L`>hyjT2cyhE&2rtW^WYyF;}HjRReofz(IL?8E-$u3=;Br&
zWh%_ER6IR3`+N~x+2`JDaC}Q8<ep#txH9f+duj{UyK`AzTPuE6GANZ$j?SR&PZOUY
zNC4jth#*F+*I!yM%tjOP1l%n7-E+1H?R+y=@vUl@b#?d~Oj{jxJSRI>$!xME=D5`i
zZn91(pyNV##-PZ_E_2Y=#*&6HU`c*6q~9VaBGR+DEFnc)1)YXTm*;^%a>m1QLMUi#
z&u%1U34PEZ`Ae(Gq&x}0aC}C(;X-P-s?meh;r7*uX2?Sm?6Wk6+wz9n-JNX$$st%S
zo}R7xwV1>JZym*uViAy+K#ohdC0(b1E3)g+KTUk~EVVE2J*@<W10e6bS$*{trcjp!
z2$pvOX8pe0OmWX{ouDXZa_p9kFJRJ^kYYe6$~c;Kd86gwB4o#)uy9Mr{4hvjr5s9f
zuoPI>SR9o$AiWpKHB!A&bBFsI!@Hk2h%rSYs!eIglq<KIX79y99sPo4xR}7zJ?vLb
znSr39j;ire%vuaRSXKcApAmuri8IBR^5%dxk0`yn;akscUSQebS}E>>rqs*ps->r@
z19#1;#|LXlDUc!`F9Wpdo*f2kc&Mx0|Dvq3Ezze;sc6$bsS~ZZaeP@1hJ-YTF^B8V
z%W6=vZ5XCoOwZ18kF-8ol&-pU+0US(Or;!s|FNnAhizqPIdSOPrMm@Y)gMNuHa{JB
z*QBxc?e>04U-HBpfnVb!jI7yOwmSFEvTf-;1BkxJj~;I64*^CK+Bd(&^byGIWE)JW
zZBQlLX8+yTRyA}1Nwty&y`xUyC|lWU21bM^UCB~2&7yq8)~a+?!Ph9MtpjWLmd@!D
z<RJoxuaKVbA1>9DIksI$2RRB|cuqyTn&e>|=>&ds-846#yU|IvxNirq6=oI@H<*4<
z`QSYvj<w6dd)iRYBTHJJSC&LG4w6G!mDw`)w{6228`3V01H6luZ7(n{j9{q9!DQad
z%*<FXuNF5ikBlb)(4@n|!|f2Snk)$(17FMG%=i?kX6EJf#H-%}Mweq-lQ6<&E0E1}
z81&xr1$q$<a`aV}T(^9v3uZL;`d&YE=o*PhhC0ZB49m-%awudFaK?YkM_7`!3QMb6
zU%~d~@X9^v-mQJrDjfc&?D%2`Zc_SfUsq9x2sd|AcG)(o7OTFcpe$H9QPxgYF}jtP
zm3ex-=2W`*Lmq;HOQ-0)?Sl4MeOC10JpNUu6k7&Zwm)4eb_EWEq1+*@dSG*^6-}~C
zE}P*u4ee=DT_EES2J?iv&7`SUaJ!ah%Hp7?jkBmrR=~7{8Jet4IkIL<ZacPF{Z^IJ
zo7hu}iV8m1h+e?ynvx&xKI;U7dRyDmd}SlU)!OOfO*^>YSgpY!gd(aC3Lf<#C>3m_
zD!kN$sg|<AMP0h09#``pmIEK|AkW{fY#Dxe#8*<y-QC@-t!1h23o}>^rkBCE_Iagg
zqW~ylQ58A*1Sw=j8(f69QUsbWVDO4&f4u$EzhsljAn^?I%aa2OyROC2japnjLZ2u3
z_jNP|(XNew&H9yFB@TT8cL6)Z`K+q;d#yx#aPDo>_r2O@gLp{e;w4ks6&dq8Zr`T$
zww`9buY`v0^FJ?vKRN8&33a7sOdhVUujh2c%QG^TA{zHghiW0iP_3wO(!eg6BMVZ@
z1#SwF5CrVJjF;)MdkZyNTwEkEIyNAE9dnHCJM2oH(lbKvcVTywfWWnblnOI^okIeS
z7UI2t6(&urpU8Aj_JfE)8X01iztfC4Y@NkqEJitdKc=Ix4?!W*D&{v}R-(33U7ZVM
z_Qm*C@hkhIMlG)4lX;KP=b66b+t;8>|L7|c+YW@+EClbSKQ5i!D(4BN(L@WiubJ6&
zxqJKg_}JJyd#WN{1sz9xz8XLa?GOGN>w5(U6f(fJgGna%Gy9vJ`K(u*k93?Nn<6qK
zfC204_K)}Ltq$+hGyGdHOf@Z7$@!P36CJK?LQRKt;mfR+s7vjXO?26~M-&%x^YeSN
z2CCI70q>Ha&-09iyIK%gE)#b2#H`Nd`)1o^oxw&JIEuobwj`ysN7gXT?&uUVoe6hy
zRg{#l)tns0RH+GYa2W)w84vw`C`rY;fS`|-FnZ%8f-Yhr)Kv8th^k6RrF9KrXh_|e
zJmXBqS*P9*2{vf*q5-M!*Xdj{G6V(BY)v<J#<c2=9$Q4=HC^Hq_CQ7yykZi(tjE~T
zL@aSa2qaou-&$5dM+Q9uAs$YYO_H^muYE9VVHK51(Bo9IdYMaS<|w5hMP`g*?gF@F
zb(rb*e*=S+j!HfFQ292g{NyXp38NdXOn(<5NlK$57ZYJjCzuASa3k#4s!W%GRNttr
zl_N!{Pmd-%eH}(E6>}TT7-gvT<Qo7MM~k<|6Z*pCeuF%z3^C0D7xkVkCrV~PeX;oK
zmA3N`CBC3@I-%m8??7n}b_gz{NaBetja`<|8^D!@!$wKO3K3(3r9d1?gowc+8AFD!
zuqx`1m}^r8)lX1KY{0hwOWI3KWz3&k=muA5urKl`(?<`f!C`FCS7Nltw%q)3vp|t)
z5)c{7`HJ%Vc#MQO6uPL&DJAh`m6&7%2EM9f`u%wpR+lTsQkm)aOn6$riZO+fHEEBp
zFNivZDJ*{XQKK-Ss<2d&agd|C=+H+ph3n($SsuU3z{%&-a%0p#h$XPUjlW`025HMv
zZ2;jLh8Ha4IVhdbzWz9+mJ8hwIm$V%L+!H&boHI=;&aXTRL#24nm2hk6wE$2fKz+^
z<Y>yV;<Ca{W|W)P^O|0REdwe3W8lN@WZqMo1p4?WEQoy>ON?aN2KR@l>1n{1Q@{zm
z^%cpO^oWt3y)i9?^tINwb{JGIlTU=0f(s7U^Cq!bGmFDS0@z%mijfHloA{PU<r(2&
zd1#7EJyD0$VW&+iQclztGNz);X;R@~VOh1Z=RD}Bb@lX!K8%Lee&Q=Y3N~%v7ZR#I
z>#REibGGwa-@3E!V^ZKss;sOO(($G%wgj+KKH%nx%Tljw{`ATD*5D;JApyZ2;0tU+
zm`fS7<U<amP$5vWIL=0@rKoZl^acSILEbx5IHRJer*Tj3Ncw--b0_ZlwdroVOMAxC
zTJ_%o5juM$T;sf-x^qshE@c**!830Gak`+D#HemOY07=UX5;f!ra!C`KeeSjN8h<t
zNTYh0M`?4ZISK3IiX3EY;@xEFg3?GljF`LtDJIZZ4_Zaloh3x?K``P-njOkd5LuY2
z4=DGWUi0$u-a32P_d2LOPHo)9MG&^da*QouV6mr*zA={eji%00gbkiVFu=jz#4tOr
zEYAm@mL)z?BAE724dd)UN4dr39yd3zU+lfCud73)Tx(w+mB&Go9Bwcv#0xnPEH#Ek
zyF=89x0f=Yr8n0$Z+(#qC99(F&AsfWeMMhOYe5<v9&CjSkV7DXMns%5V*^iF2VXGd
zlFePc+I-=nzkvz5^1o6<`^%79GO|cP2d^T36XeNBfAH2sBm@J%FOs;b+zRHRz`i;T
zys91geN*%|FJq4ucc5O%dEL-843tcNf=t#fda**(${mnkQT$~)Fsolojsiv5cbXeN
zdC>w;K*D+Z*9Mr%zc}@cLQXOdF!_+`I3?2C-0beh{&}At49O56jI>m}+6ZXiS<Q6*
zmj%57mzt)z_>YSV2gB8UexO*AK!y;+!*f_1daul6MER2B+n8n3O~h-xhxGA?4IlKW
zGEilCj_kiTBzLL`8@TXbM}GhKaA$@6xd!2STjYjDE<fnWXXkFz0R|$541Li$pj-}+
zBi<f7Qy$xI$bA6bi83Dlo}W+5dJGFY3GQIDLM}m&2?L1r*y@%@k4j*~=y0zDTVAZL
zu1+6~oELU%0+=5?hSi(5)niEEKz^xneBD{+_ie67LtdKMZ1@J_Ck$*|PMyQ|upqcn
z@%?Z3ZfE=n!2ELTBN4@;RP-ZipC5D$x-4Ikk?5-lW^QO=@kt_f`IRAw@ICNKh&1z8
zg{t{Nnw6SH@3L?1a7Wh8&(Dc=oai<1i8H^#K(HVZ5aqrt%6e<%j<E+waQ%V_34}*U
z$oHo;o-}Z!$5>*!%y^vLc9z+gK-t*YtB<a6KD=mG6Vs<3e`pj=j|ipOL(uu)t_pMH
z?<`?N6I|*3k;0D=iaKY7fG`HFA74pKLmH@>d8w<b+rGg$1Wk#GVe^Fj3@exE0Fpbv
zFw~j<r|^d;cf(o1o*jQ!J_txDVu-22``-G6yK3>42o*ki&++A=Ndd)C7vY;%`wg
z<hW`a3L*9JbLLiR1|-+&WwA@Rx--%1Azb$E!j}ED&zcmF?33ekAS&A(jJzzLbPWt7
z$9{0O=f1hK;7K5kXt0{i7n)V|4*m84l>8<Gn7DAD-il1ruhp*APN4y+aPH=k)NIcN
z+(w&hFp;=eE+Wm8ca=av7NfxDGM2}dBtwr*u8tB?{!%Pah&YWVVz>%6U_tDbfl}^&
ze_uORv->N3h*iuMlVu1e@V4<b%KKb~m1Lm@2J1Qb0l(HM6M~st;gKWaWK$HWRi}z!
zPx@%6;c2A$W&LP-kIQ^0jA8F|Ft>&J|N6bjE>puhdE%glYd_7x!%?9o`k>!?`K}2|
zXZ5zUwDd+w?crXass3it6PwY2Vrpu;smYlG3IJL2D=6@vGP$B~_9_FL7f-fq`!%(j
z`n>SJ>8D#jWz6*?kW2BX7i*@#=I$SFB~>69Cn#7!BK1e=@;{oRWoU*Y?eGp$v4&<a
zxwc9#nvne&hzxLoyXn#`3@;e%_;RXz{5O!#d?66bsBD7Lp+A)_sMUeVc;WBT&m2U1
z97W&Lz*MBR(r`%7WfB#qaEu1?H&pS>@xNZS=BfLYVX=K{Ds5(i*9;FyRhI)OE~--a
zA<=d<JTNn*lcRc7Kq&EzN+x)zimt-dU?`0FdfvAukXxE`a2M;n5mAIQYtb*%+cu=~
zZjyW0#>GjE%ur?oGMGZCfP@?I<RO>8+1-QT61&e1>y;JldYxzTa)htD=dY(#KFbYw
zpc_`Lw#XMUTy^U(=r9P(D-+$OUf=;s$VH+&8azeN2MQ{p|3<+jS8kN+t44VB=do9o
zhC#J=WDa(0VJyuQg)$fuk{PDXZ93|LHNQ*CxIlqCz|l>ZGCw`7G<#E0pJjr-G#rhF
zv%1)w+PO-c`)YR8wxybyHQhqw>GwV;_wD=Ouw}90AXre;c)3YNpyZcOjBB^aWI2?o
zXor>YJSF%jk6`PkpfGI8nX|-H3g}#PL8UhOq6MFCI)nY*SbjT|H*hPCl<LHh(y=7F
zq&utNvAs@f7KSssGtF=!MK<GhsdQ<cw?5yxp+J6C!}=7Pz-!2)-sUPqJ9rdapxwas
z6-h=q_Ie9#s`pvENaalLF-%rPQ*6`pjjHvcl&W7P!Hg8gGGBO%m!U40-8l`!x(0+5
zFuGiqz@vV1-D5yI#t-XKZm>L{H;4qG+E69~<wz+xP}u(Ibt=qWU`r`kR$Gp@=KhHj
zE@JVrPb<RrZT%nPE>~z#d=xAOI2ffl>HFHeO1Rd;;RE>Ta(IBA1LO=0F(V@^aWgE$
zFw|N1FMYV+Y1?jn-VuK6hitO*8>E@9qO|=G#;)+#{{x9VNIh2iye>K)VODqc<%*9^
zZja7kU*BN?rf&$(QG$?K4u@)ivS%Xz<YJ~GzK?3m&!|Vydp~mi$mI1|G+|$OsNjZd
z&&Q~Gd4u(@0RtYOD^FJlD0&a7S1)&Ne+TQ3x&mgN-6C_-K9$U?2s0ia^1x0^1ovi0
zaIh>REtEJWPKp}~Ha@B(HP;PLVVinHbMwh}V&!zJmwyPUtDp(3JYX8=NkCmlKgfKv
z8yQCm6>rc*@4-Vzw)(gPbzTw+0mi&(0lw2{61-3FkiquZ;I|8{B^o2AiZ-nVY*sOg
zpm1EbN2P3C6@gUD96~52cL*fR$2;5R-<^I*O8dhsh2T7mryfmug=n}A%9`}UoPeFz
ztAdr3HWli7$q?c<&n+jRJkY(*uSDxD)}PduoSjt=OmV{g3<I9kS6OGuQa0HMqh>^^
zl;mfm7=vqMMC9^l5b^|1msNoIHf(q9zY*rNwNmhfkdT021z*74c#F}?IYJJs_#GV`
zwY43}<@@19<acH9&KuApA6N+Lr>r9x^;hWo*%)+2@l#o8`zO3`rHi&V(!Ehp$MXye
zg%N|;1Yuk<fAHX7De8#8F!bhr3S$Yliu13!Qx^NN<uj8%J=8G$t&lYmJ=wHn5hFQ`
zPdtXx?&F!;GeKy(HP2j4iyjDD(qcwbZi9nzdi9gCw<)(e4Ft~`wTAuXb-1*@$9V0j
zv<Njzh8i-dw8P4wW528rHyePH1x;DoX0ykDm<@Mjlz$~g+i&l`zw<@>=nT*3x2#0(
zI%Y8tLtp<6eckROw}En3Fn&1^hT_C8JWJxG!Ca0+g;)^U38e<E1u?NgdU?t+HfX)(
z6xY&MChW>C2|BwM5Je-Qt?3f-UmuzOWLf+M<Fvc3Gf@>%4zo)2D*+Tph~nZ$hSVc(
z-%2UXsXxbg-#>%bhL-?prlFw$XpMU3J;0omGkxKq0+&*nE-QUDrE9vy=n1q18kL$*
zvnUW=4-`#emYP{*#(SxI{bdO{Oew=#vY8`p8mqIJhq;%VZS|{XxAsCYRN_NW<^xwC
zGP`>z4<ag8lRV#E3h~4ht_lk9<aZLmfe!(gi7~_&x3evHQ?HaATH0suC`}%^#x;oj
zur!t2|7N(V=Ph;>@DD8DjQmQm+U(<EI1p*!nvvw}a>xS!?I9n`)iz~WXAWIKTMmFD
zeLxW7tQ)(*-mG5Et|$j(FvPKTQvn2{FUejMBt%dn>RAJ16IJy>6MJpyTC9HbumBR%
z5wUOgjLXqcXRSS(?>KM}A?MzZL5?X`LCdMas&I7ig>R*WoziGrMlVlhqy++|n;G&V
zJh7S>m#MNK3}iULv4jhS+8-vUO{Q|p$kHw!vNo>;SGCwORuv*6AC1ZNb?Ps~*V)PP
zKPM4V;3~hE$4uKbxP|dOKrK7zd=gw<&2$ce#>>=d$F`}=<mBh0?{Ux-!}ejJ_8k7Z
z)Wj0LKS+7uO0^bt_A%9WTT9aayITPuE&Biff)MA|m*#Ycf1gjt0*|y<=pl|@Vmj=h
z9-fWZ7!M6~zrp(m%@71C+`ArY*>mLXo!cAnp(!OX_i1maInmSVloS~{;#)#rmWD;j
zqK`#%sb?t?G-d4)N<<dZ9@{k<8J7?7GNGL5EqWUr=?pP|;@}lvUunv(T<iiH49V6^
z45K`fU^i4o#l~rbK^uJI*f{gc=)bK6iItJ#A;}->#RFF>d`d?=%a69Dsk1vAW~OaS
zyVZK4daa+P>n?id)rczU(qGMv<%;S}f%v$mzxVEs9i)VQTNRbZxbGYrdX$Biij7O`
z8-KvrsO?+#7zODrz5%P{o?r5uU-W}-tIm!74j@Z#&HhXw7k*xLfQoqYVW-JT1sp=C
zOd^e*JR6nv#No-w$=i5Dt4*uC&HCUd8fO_E3n{;vYh7!JwlMVz04r{gGt63W?C;h-
z9U3xR-L5>dY0+=?FkL~n{WDDLnqbVKN8k|o7fK?sjPXA$fcs2Gtcj5a^ODdoCJEMC
zx!1dxDV65+im}*Zv_Vl=%#NH{u*j5-)_rf&@e7-Zh~2!iFkS}_@KsapZEbDcIw>E)
zpF0TIU7siGbFVSKEQIt9JWqo}Ui67^?uwT!+lrqZ<Z_l=dzRqAi^O9?(lm8kKkpQ$
z(6`Wo5Izqp_}>2L;)=x+bK81|akgcLL7jFrZvQZfS8O!QYm)(zgekgL^YIh}f1s!^
zM?_c<YIq5yq_3IZz_99YrdwRhAZK<bUrAc3_wu2)pp5Yth%JF2S!kr<Oi&D2aiB#J
z!FYkK$qum*NLw_SZpEzl!Z1&w7pS@5DHy4yjngeGu5ZrVBfsDJZl2{M+&kw=?Wcb1
z7mwYSVv<`p$cCjkYHUAhN-ZGDhlNZwIx^zllXD6QZHoAt`=1Wu&oGO>&Oi+QdZs*D
zJCZ$oqtUi8aJpPZnDHmY@Y0F<&D4z9cBR9NFnjKeX#+#)l<((R5^|~|@6H)F>LS0Q
zd<L0`;w|v<f*E}mexQy#u;o5HDQDbnR&algm3p?>xViWdZ}6Ue_taa5UVcOy@3ZEc
z26C}4t-Y%WZ|D;Cr&4*9Zhrkb;>SGpulXs(8ESYWE;)pKfJ`x}ffio+t_FIHE@*#h
zKc>j%E*6XbA=*o0GDWZ;z_grPXffxjnARgc0>2!T@%w@|rwFe$!D8G*Y1|70Me3p=
zc?fb6o7b_+lxvjgypl)wR1Bsv&A8<Y877_3e3VMamr?bXllu!Ff%@{xly2LnPaIHT
zQQLuasro7hLVwsJ@w&m&Xzj5>S3ptg+Eu3OHUW(Rx+E?wnxAQREqAFKJ~LZ1jF{T5
zu3|7G*VfhsI~b$0lsxAqpy35sT->1=@KU*nkjQhfzp|fq-s$USA807HGyhjuesMO(
z<`Azea&@7iDILRxLO4|+j74RT#FH_o!r~GKy0~1i#7u0P$zSv6Mo<;k`@zGDY1~LF
zEgl^mdHRZiD7}2{#D(L^z~O@&RVEQj#m|;7-N!y$T8P=Q=vb<mikT3IY)r|Vu$Ip1
zc}`2twKqD%Ms}WmevV?im<LB5d{wz&W=iwys3foKK2v^o{b|y2(jN=m+i>**ser5g
z;-AOB_6Ec~Q}$}}*}%!h1R(s|W}=?mK#KUWaTH+bRmlU)TT<pwL~O8-TNa)PX2Fw)
z%4{as?aO7xF5vxp&S+ObFs)W`(_n%)VLg)WkPWzGy>Cro=B=B1d)dN*^PaTgKLT$m
z;Lf$6UcOPI3F8Q^n(OkdjZLZ@DZ&!R+PZJ*y7=`&=$UJ8H~w+*qJU-n%lH4I=`5q7
z{N677(2b;0(hXA5UD93B(%ndRN|$tlgn)FHfRxe_A}u*0QqraWGrxDeer3smVdgyd
z+4tVpW;~=^3gSU*)?eU^H&Z_lm-${?CAp8((k}D#M@FH!NW0iuv)4JR53R~(P_ay$
zBn5I<33@Yf@Y5G@!U(kC$iXl8)v!?^u3`=Mk?(+w?ZcckE)NXmUP_J(U#_*@@%6pV
z=57nIXPF!BK%@nJ{$5i~W&SVzyl~gQ!Cc!LnUL2mw#pLi;8qPH%pQYt*(Y+00jaN*
zBJn6<5m2;{NIlai%5d#YxzM}W*bJ+5{KeXo{E&Dklfkur8e2Wqm^PmXVD}X-o30S4
z93VGv-S1ux+|02pyqO2l48Xk+OxgxJwxH`ls^HuG%KCK`mWvDEgNK{eJ*UNh>jvy_
z;TA-Y=#W@*KmV_O7v55C{qJ8@(QQ?M#Qi;>Nyvws%R?ty@tknZ)IGpRb@%kFy0m+C
zuEJyf-F<i6aG%Wa5wU6q&3{*50SaJiawwTGIV0&}wZV2`fEds$%*u35W>Sb8jrVEw
zVq-EM%k$Pv!E9`8T^E`_q2T?^nbCNVtVS7x5YwjDj=>UF3XB}qHYZ@70)1C<Qiz$A
z3{eH&)FNrQ->mk7TU;wkS_KO}0(FUW*ZmMWsofB>>KyshUKHQ}XkmoXGSJeXAaF}d
zLJFj1WDap}{Bx5tXfhbL!Ao*IB|@?xlxh7`#2Yv~S}Q7e@GS?qfJihkF=3L=0G46~
zdJ2Ke38mf!)uIR=DKhUqHEj9bflgsbokw8&mTurVruUvz-6jdAq&aSiOL(Z`4xkz1
zG@$I$F>rov-;76%O|OoBtk?9@j7#6dM7Q?InJ7zMV;HNR)67k5eT%1kSIED=i$l?U
z^vZRwiC>v;heN0gIiEKkB-$Od>KDP5Vel;&Lm#&e$x6i(&LEXDEW8*uI;`AlIgRt@
zr~P)(P((JEQ#1xU%e3C_Dx8MZD|B@-8W>51Elun+C7SGB&<M;|<3@!W;HP9HGC}y+
z;vHnwVO+#!H;lOHnpHZ0sMOwKSZnIas*GFx1hcuh`DHSR));6Qy12OD!d^Q?0Yhos
zY0TNtc_Ubh+}zx__y}Xm(0Wk7%)kYD5et%z3GOShj^P>sN^F%*?$7mJsn6?pGz`dM
zQ_Ol4FS3zdz2UVIN+#B_@gTVMy|}-*CsY^Z_T#1u1S<J7?klzU)D}~F%aRTyr4k{x
zEkOWG0)SZ#%F~U%hZ}!?PyhX3%pr04-4d9H;KjS^pd{}fJg0G9DbX9y%!M6t@iOEB
zxDogvUa~}x7J$2F;Ca0NI?YEz?nmJ+1qArjG#DP`0H~el<GW+O=>XOYrOS4p6xv-D
zB?s=%0q2(w#b{1mUcmk7r~u%p!Hw%+9=rQ{)%UNQGiaZ~bUu>YL*7y<w*qt``M{-a
zA4f+v^zfHho)6oAC0IaV{b`Lhj&}O&hn7H=;=cs}c7t01{8kQZO&Jca`N&WrRSdle
zr!RaJk&-ExI-f06?ZGoCCnv`!5rWeWN4_aN!h`g;*yxjnFj6(z1iGbTDhvHtpW}j9
zu`lXWLYs8?unJijUbc?t7e3y_$yd$FN;diAE+1w|wrW1Srst){?=C4A5t`OQQb54_
zlAe-H>!mo5EJ;&l9FMJG5WtK9DW-{{qly}v4h0`)7Z#c(CDl4VWjcu$9Ye)K6y1N>
zRi&Hqkke4qOpjN4Zt6Wc827lpxX6JFs~feVcvgt}hbXF+ssTyNGIzV}5i2<=l$4Ih
zTrLRPJ{3eqWU<b?3LaDnX0Zl2?L@hp{c#e<_7#U!chcKpl(Z);EhTS=pE*^k)%XQY
za^Zqs>ED}ycx^YU$QVfoFJfs>DYOnbx=hq&d+p3(RVb#TrKP2{b-_CM%7>xOD3kAH
zEq`8=_nEJ>lTtD}BZe7!qMilQP|d<G;8T8eh-*u5gzvs=UFAvtwhFm6TSyCkrMyVs
z#hSBtYhp7_XZaV&lsy)=>=cz(1HH3#_SD^<wwl#f)5K9MoosCOZnxq=A(V(u-Ny0g
zgAL2l`<f&MF(_kMn}&F_mQb}6?0n(0%X|0dO*%$2va{kcp-`Fb)l!?7fWQ?s{k2NR
zqE+iNnte=aO>EhGH1*P8Jqe-)Q5KXkim%DO11nt(h8*gwJd|!}^s%K1_8#pQf5!|3
zgjWKVyw<uM`~N$90k5oNI{30V2X+b%T!2uKYtY{FBEL}(vIA@iPuu4IfR!Nd9|YKs
z038)_ol|r}3MtH;TY}^rJcL(S6nqQh^IeY{xK{`6(XlP`8@YObqx`@Ty+b^DI|;A@
zAmU^RLP|#7sFzfKPu{3YJe+6s-S1w3utxVIflX7-JJkD-hsBVGspI=8K+(i$&nG#l
zf2IVtI{+A?U=jj^-%Ps$AH3E`)*=`2&(6-2So)4e8`YUfxN(pnQX$nh`NMJ5)U><h
zMErZo09&S2wJNu%NAyApPl13|lCgs_tC_=HR@R@@o(OpW-0;9(5y8yHW~A+K?%O^!
zI>fOs=h19hPX#W3xv3!|+4i}RIBBdFjj|8vFNN7Z=;`MA0tsLYM?oeaq}8di=tohc
zm!y_7i-ulAQfTiq(j2O69gTRkJtDmc4EFc;$1?Leh)hbFL`JyO_M}ft`$ajCXrhe-
zp`dejlE4NRNSx{RyGdABB!|$s=%)NWkZ8K(&tQC@bibWqFc(Esh~*wBWj1{EDtX)2
zXT5t{5DN>d9<-PRg;-lNC}+s`>z6R`iad2wiW9VfXbh3ekZM{+amnNa^`fa>_%NtG
z=((G`oa0seDfJQk9e+)`TQ0|fIP)yB1;wa2i8%Enh#tbN6ipg|Y4qL14D92EyMZYc
z5e08hpu~5b#z(i-_XaI~vK<A6+TDiaIxP+MS&O?LtBp}5OXJ6|gv-!poA-1+7%&Qw
z&`44+A?%LI$-GQcr~2v@1k9{9e_*b$AeiNLA;i#H)#8_;MxGsx8lFwn=4G_U+qopX
zG~Z&;=&S6KWm@0f)g|mwxRCO}mmC3|dU=H7lsOI#6xTNA-85&Y`ScT?>W_owB{p6h
zDeRmsJexsGIVqJ}Z8obDLDkj8C3AdNk@g`%g@01-mJitnA@ubN$t8ZDRC%hPbIyN%
zIDJr8z<K%rZ&m+z4cv==-WIJkzK4S>01sf;J^$bR^uJY%H$S`neo+tp1DLJAhuaR%
z1qJWWQFU%M2E*T$aSZTxF9>LJ{zq8@_DFv2AID7X_Wcr9tDbOfU~@ZH4MIQ+`Q=AS
zno??X;BhUrv$h8P?F>k$abadqXfEb!i6r%aLLbg*_jS8S^Phg}zM`30WYL-&Sw3v}
zSTs$Nw6In8d^CC#TzmkTtFh138vjfEO#^1<#;f|8mzU;kwvD1Qe;+W(9bD0L<9<9I
zbx#OY`6W65*p-+uc%+1=?>}{{x#k_h=NC@%DxKT?qQBss4c6LPV{M0kAX-osG{_|g
zqu`sg#z(fIXMRmBr;_$KPY4$iATn?^PC%iK5s6dbAwC(pF-ue#9uX9l2Whjvm}MC5
z;^vhRF=s&|q)a)vd$4kF0N*il`}$*1&RPj<_YLfFm+)oZwMAtdekckJU3n!E5?vJX
ze=Y`9C1n&PT&a>r8P=I0Lr1oq=Q8F>h%$4a-b;OwkmCu8*tZ;|*sB!@3<VMLQTSa&
zxQI5cba&Uf^Cs|xx`X%U6jR(d_I;u>Z_P_Vv^R**??ywTFU^XZp@&Z{hFlBID=Uxx
zalT|U`It&!dMK~`v!!uLb_OqxVF8IjF8!FaS=7|A_1BV_N0Iumu-jDqB}+%$-DkRF
z&{@uzr94N3uL?((2v`R4li^H@w6%Jrp;sm_kITRR`9&_D+>*mBDdPp3ZrB%{i4Pp#
zq?^Hgc?{p0#A?Nzf=RJ7-NRW#WUCj???28Ot(my<Vu@w{i;%a`tkZAJzgt2m-GT%b
zqLdqD(+u#Y95>*8?PxbuFvOK3{zaamU|}lyQ`>ze+%ra9^mItJ`L@K?-@j`uxNHR*
z`Gj=8-cdPR|3!;Z)7#Jibd!BuzB%c}1u!g(-vs_e$a$gCksJT;`iHKyPs%3F3qO|(
zIOVU$BJHdMVA<kd-ERTMF4FWF&sr(mKPGz)#{>Sd8iAkMaKHKUX;IJTsG<<qH-Nk<
z3?%N{K>;lpWZT(0Eq1lK)>()lFzTFy2oDl%33{7cje|P0yY;J&-A5;dZcOKQ4`6QN
zRV_~kygyNFmiYl6t|kc5z<)BKRfvs{3r>;fNe{*zGW%S>2lWyz;KF|APK%gX;|O+A
z;E+6C?*&1AAQ<wJ9a7dSm(PMR80pWKiK!|7!Y7ZqaoKWz^RS7PYF1mUaID8h(Ut#h
z7u!UN2RRg<t1!!$+`6!VX4LKOAY_Bs(aGOM+<NSfSGag*W<8>dt(aaX7qe*1owepE
zvQNX#c0D>@?w2b<DpLKVhz{Wt2wi5>Qatm-+DZ(@SL}>A+k%fi%k)g|fSHnmsa$1F
zhsA4ef|PD2ss<5PRx*@=h*^prTgQNdmljD@ZdOZk;*2E+_?0fGHE!i{v9RvY4%_%d
zjWVCg<HmaOPL?{W3&}lq7tWim-@jdm9RtiUkF%R-eExF?`u0{dD#E^1S8-bYXW6Vm
zEIZ~w!<cSQ)nkDH_Hw!(YTtgq{=$v0z-^JBTxnIC?wy&Y-9~{mW5FA1Ppr*P5n_F?
z!w3V*p#gzSo~)ty`T5$vCC)1V%xfUC>OkpQ**3`lMW@lFIEjYk^8f7lu8k?H0$B#-
z8ZgZ9vSlc>8d@jdgQn-C?bSJth_80YwQm`<StOH2x?ghBBUxjc$p|_WBve$o+VvA^
z0&<Xdw<b|ymr+KCL0W-9>j>%i2cEoAqSg|0;ex4HLZ)9A{(z;<92B*E>dQ+u?4A%4
zZB7*Lb8d8Y3t+myRq!P670$G;o{*Ufx3h>tI#*umSe3h;^$u(O&`3!-i0<%zY{j^G
z!>*Yc>zJ&-Ov>DGz<Mr%@=FBxbT#I9X@<ZO11PjCkYMn=AOtd0M@WDkKuq4g;tX}<
z1Uf+1@PXN}@6r)W>>vW--Q6C1MCekq!utc9`^QNAw&G_w8`p^&9W}7$n`%qT%RoF|
zOKe1qF8=<AQ0euq0SQTHWCDUaJ>wv9`hM#>K1XNJFHI2Hhtu@w^MYqyTsk%hAx9Rw
zzV^^uKN&qdS}Tk}5I!G@hfk#5zSw)}+XF6DXy$4F!i$9^9dr4Mt3*RS4?&xn5R(C*
zNXo%1C*mhSVi}i?s1l)LLL}bZA%LPJ70yDtRdeyEkCZGi8s-Nsp%F_$dU~?RN?`=7
zv_#;~V`Y8)>63K*BGyAiKi*SWL~1jYVp$?%1Fbp4G*K#4O5wW$wE9=PcQb=RFz^7u
z(;OWC;8VbY95Vwt?op7jV`zr$UQDDKWBF<#ebE`yrTx@_5hdv$W1sNBkNCx>1D$O>
z1_Ql*s6V+tFzMNNb@yzRKi-Rv$H#>~m0855=QI{Lz39j*gpsPp`0)+K-u9GfEOJAk
zT@K#n9O*XU%#uBNVeC^k+UjB#znh6J?!3DwN}jrlu#KC!EO>aNm7!>+Q~(=&80M!9
zFJSq$HmH?0=Ow#QLVzqkXt7h)Eymgju5SCSn{lB>NFuq7j*D8P`j|f#&n5kLWlq$~
zEchrLk@^eUHwOjx8Kh=JNXbOR)ms3Z9fh#dZy1Ex9AC9I0|WIC6eo2syS{zmS4)lY
zoM|3nHZ<7Kx2^O9n@4vS7ocZ~367!rgu@-@UZRwPbxrYyBVR#gqoLvCN5F?8;Y2x0
zL5ezsFN4m=6JN9GNQr(Cu}ROUm<dBf`Xp^?w^5&lLPN~BRp+>{#b@<DWw<Z60lmv@
z@h%(4W^9>mQ(ztQZG_JV6uLt{u1~jf7()1R5RWdvJIx>Xb3wosZix&5%sA24KQ+XQ
zVELdnG8j0j9wnXpB9C0j|A_rY27(7HqPqQg2#?ZFeSydkKpvd5Kyp&DN=r?T8dgrk
z?Oj!zf|pT2AU)8;d$(BqZuTJ8rn%GG1q=EtaKV+FMV4Ko6UY3sk%l>uEkfFag+=QN
zUo>_noxrpY&R|Cc>&nBZ*BTfNz+#IedgWly$=q4|xN8CIzZ~04`}`<I8_#at@|mS_
zV0Md2v`VQ}A_?KZYS7UE1idt?fZo359{wU93R`e$3kdDLfaBo&3I)=|%Oa7PQ;})I
zdCCW5GSlW`QgfTgz<BODVfK~SZ3<s=#+ri?HGRA4&2mfzCJBPn=RY-jg^&q^uFoMo
z8cuJ`=x!40Yc^rg`8#>^=){<vhU&^@c7XtgL?fYsQ<p$H-B(t}!(%|#?^rPnFLnGy
zX6Q2vhT<38NI9i-nx7>VcMO#15cPK|fBLhK?;gFmxpJ_}<rfigJfGfiCbZ@=O5>?v
z@C-IXv`{i^@Lv886fd!QcJZNx3bHzrP@VJ6j|M9A1A4*clISgeq_L)SZXYFbt|y1;
zBOsVDZGy)QIO%*vr|5rzDkUA(m+wbSe*1hTg6QoGUmH9)WEy3pFgm;e^x?jZjjGJ*
z1&5aj1fbuq5N1#S%lf_9`9AWq^88#5b-2#ZGsh}<KGkdOFJ0v$`1*~R%B`Y=U%Bk8
zEG`~N5!z3mnfmXSzwe&XBo<8fHJ&YvY*D+r(Tp!r|F;2LJkLiW@qm<v9<DMw>z=Pv
z{s(X65-h9$O+|6FZM%*QwT*%>6d8HaDnWh%v1W^mf~ZH&PlnJ1Rn`ftebe$u3zaZa
zc{s(`5!VD-B}2+Qc8*xTBS?a#TTpM{&H07i#5}8+TG`_sC>;-Q;(Obpb9i1JwCEj}
z9N*^k-Q=x}Gc{f<MuMZYva%9vP?*eD&=P@#<<M(-ml!8eHVTRiRYG7M`fyJY<Bkkz
zQ21gFAyA`-$0CIA$;!&s+x*3#L5)BtCJ>)1T}=Y`6Kp}tTq0&mB^g8-1iYB|bV!$s
ztCj#{XHR_tS6X*{o{YMKy8vGF=0pN#<c!xExV-*R>ZoIjgs5$pF*(!)ZIKfo-L%gl
z*pb3Xo<N5L+R*eXmCqB^Zmzl`LRsTNN!wl)GQ;_V+z?I-k$MKDhLxkW52WJ5^x(@G
z7L#cmH6&fW@|*ZLK<1HX&8n^nD{*yk%`}aob|Mb(cR__2wH&^gO6RAYBWE{(y{1gG
z{4t4E)G13O);E`^^cc;7GsF(e=(A9N=cmb{D6!LA-6(ouF5qV~!R9u^9(JUh&{1-q
zigTITeGKuAwxsU(i8l0mmerF`S!lXkz4DbhTI==!F|1axmAn20K9=p%Yq%ZlYUhLT
zv(RZtmi~0#FtZgQyjqEN^OdE7R4vwWZ}NWvRsjJ4&d$%A3W&2P;wg0cKGuU(yZC@p
ziG40*C@Qjd=M!HPvcvUQY8|!KEI{{1Z-2EXnXmc2L;i!VDSOtqva+(swo&^^)VD7v
z<8!14DS4M2;9SNhA~X45&+|R2=d+ax7>#^r-ZyM!-@>BEe5}8#bFStw&R)HtMhA;r
z5SsJYwvM2ek3(qtJ*GkCSrPJ?)HDV&n8dr=Wa?&Q1Qq`<^5>hxcOYj4F5^0^ITbm(
zYxIg~iI-q><@=X^j5qQf#EX-#xPRy9E@%o$Q_Dsh$M>rc0~h09G&-dP=g1%^;+kR|
zoW?cPGfu6*!y}B2Ox8&Pkcst+iTW(?S%EX!j~IZV17DhJ#G9-KF53aJwZLCk$X}R^
z_q7Av#Qt36{{bL~#{rL+YW<I*dWWUU8J|B4L@(i#A-KlJDE5q!d1RX#k<1PO3PXgJ
z*GkcTly;yZf~v^scEKC5?}=K~0HSgC;Dr8-7g*G-mrc3_&Vq_!VjyC9zg?fmTrG@u
zF%i;r*eN1D*)f$C6U%IaIXMGJ7X3&N?Rwzu&7_QMzUQ7SYoY>IN)}>?G5*U5=!a5O
zH}%g?B;9A?4hfC^y+?kgvx*)p?ilF(F<2v?^7(ZsI?2u$*3I=k$;h=DnmkIb^D5l1
z#c5T3+DE~$H*t!wq|lE&z#6AUXX3Mf4j~xehSRX&H+|1m%@NXNRb*+rke0fn)4<F|
zP7G~rU2+zGrl~BIrGkcFXvKw8pZ#E^_e%PS1b5O<m<1QTTQu@}<r(zWNNiLk8mdN*
z&?L*}0;>vXY|3cIOiNK^LkL66S_kf?>bGYWofU?XL}9wtNBTt$R|}YujryzhU+!j#
z)8k5+pZC<?7!-*3Oda(Kz9=B&mz)T!Mvg%sZT+z-EDQ=A@+Lo|3$M`NTVviB7+lmO
z+Jg~rwbRqwr#IW1mtIZ_LFtES9>5`z7=d<xHulHyD~a#SVI4^hkvEJ}6aA0z5JIW<
z*lHNYXb__wdQ$gVTe1u(6bT0Q{y8IqQ+WOU{(fR2L5nrXlCT_1!X3s=2G3LNY~)Gp
ziJ=dSdB!7U^hk)26HA3ieJV(1)`^-FqrIlbrUD5)PZH$bfwvXQZ<q9UlS*BtdPorF
z*UO#x?5xH2L+q~WBt<TL4IB(G3L~b<^Y?a46go_;04*I@1<osFHS-4NJTFsZ$c|z+
zA9xoGYcCz5<w>GNIAiT|!L*KmZ3u1`!10##c1XF#k8dl18mnKBctpQM<EH{4baXp?
z9@#wwe)4TWz45V%R4A1Har`h?IR~Ulox$Z`%%|OOi5WE%-k%|YfBhd%>l)nI;K~~q
zJ3!$5`obqW=&3o0X`|@40kF7rKN)eqkKzp6Oyaco^vp94^<Eyl-QlFHn;|CgQ{}#M
z<+nPsXp!v50~+Jl=f5RDs8}N_-DA~xj1C{q<4ZQTUpT4OSa4roQ&U>Se#cuoV|lB%
zoyX^Ium*uRzc$B6gN#qZRp!_sfliDUx}$)-Q~ntu93p~BEaK*Yjt5rM2fUdcZ>?gh
z(pmb6Wp?w5@t{xy2gE}noLSyyaiwTwmfwJ*b8nBaYmJ&$6OCS@7;4lbA@+6P+FdN{
zIY4o$cO2XO15B1bV&@LG`NX{aFp<M%yQ(r^?h@^zPhYv&TS=B?muOZ?ZAA={8fiF=
zrygZdu@PYoZff8gWOFH4)QW2@@J}UkCoAm?x8d4jc8w}?@ATaNT^g4lg>w+m(;u@=
z+5pRs=n>tDO(F{k);yG&Ev_d7k(?Ngv9HY7VE4TW`qlby`{yRG-Myv#!B{aqFSUwc
zP^eMst<lmliHg|>ySGa50)lBrN=P>LHLq%WTN|*3CiUAgDj3x2;S7E@CI^=&IXZH)
z=!^6et(d3Iwux!!otYE@sF6RwDw7&gl$Fv6=%rUo_-l`2B`HVkCE^m0yZ^lIz_8Mt
zw`iJ^on3)N{+;GG2$08&Ieb77YD2rGs(@{kK?On@!O)2Qccr&ec)2m4`Q&caWbqjh
z=DWvpq%1YFv1XFPwEohwF~9qnQ`1UpveKS$mhc5FKaN0c_1Hnu>|4A_@E_$J<jOB7
zK!G08%w$!QIb@^o>mxrkvc$|trPYzKK&bQ@@=$?EkLgRlhxf;OYvu<#Tv-8Yq$l>d
zz*LL2cHuC)npfB|7dAiy?R;+D?&tsHf}Z!`I%aK7@<Q&NQqRZfQ{zn5@QjWhifeK0
zo~&tKmj>SBzkB;O=;?j<u*zUU*EC43q|0v$78VutZOv$nfpyTPTSxc$#|1${){H$E
zjH;#M;r#q{-^QbevCpBjI0&JhF1Z!<x%i|7L!b67-`>|Rq5uMwK6{0I*IeHAdM{A^
z3vN$9@yyb6F#j3uJ;29lXKwvv3i-n%vO)nun(%w%%f8zMA28nl>}|*$ywF2LA_V^b
z;7RBTf!=+wV?Xt_9l+Y)>^+}_>(w7j?r{N2*XZA``oF(GgV-2c4}rHnp@h1$|Ht(L
z4Plff%aI3e;PVDV=Kpq^FN1equK&Gk|2O>Vet2d5vJK6dA`mG}46!u+3<>8ovaIY3
z`X8Eek1Uk!99d<EZqaKa+hVz!rc|wR4t(2(zYU}jKORpjZdKUtnJ|@@1q2~CR2|$V
z75K4WD;QJ^5;IqYB2kA)L&!R1<^LoCTnQ{k{nmnt&P3G{eLe<tyC&1;y+c*HJ@57Y
zh|RS{Eg9b5xJhD)e9BlOh=fNj^;j_<RQiq@2sS*4MzXRbk<)8Sjq3fv!IkjClSqX2
zg;MEI32Z+}w|&o6@VNA|US1h<lTb|BT|4b@ZC$m9uGqil_m2)k1Z7oZNTNX-DyMCy
zSk;r;zoBDW6ME83ARazI%^iUqgU`wcIC59%Oh~XmfF~E|z~$TJD#s8?nbtM3n*EXa
z!DC87Mfley3k)CNF%wV93knt?m)+Jbm`GxD5&f6M$?7q_<$SG(o*&|n{sgpBr>H#=
z2<nxfQ0Tpsxnu#K`)oxiW5DQ{fb$ry8w#y$hVvD@n#=j!TzjXVs=B)CW7x|}4vucZ
ztg5;KR8vng@aj1rPQAz=HvEp1Pu6U|$2a}*wtIMzbnkdH!27LX?Vg}oS#51854V}-
z{MYVXZG0VGkfVp5qeOV+KD&US_5SOmA8$HXtgo4TDWsL5%*8tPTFJYwtEa2WuznG6
zOn?7&N~0$_bmvWB8dJ~^LTvmKk7!3)N;|K)k!b|GccVK?|C(XZt%#)Hd9o5+t$Dm<
z^`=*tL_aesMgXW&flKP^6FzER`SSjJN4Fo#GZSW5)P5Gu4NUEKC0*cwLj3R#6lsfO
zSq8`<t#E(9Q_(OFbC7c5|Ccj)p5#JWE7^fdJU5RN8b>->938-J{?C?|459y{dF1GP
zOU8@Ujiw~^npz4cM0!X@p<i1MWmB+ySxb-%VqT-A8u@efP`Ytkx#G$n_ZR!HBmGc<
zLsHk=f<9hfM(g=(8!dflTgJ<5<j})Xp0AmCPMq(FX_!{NCpLVYH8SZ`lNG*_E$0Sc
zNZ<8~-gp_`MzCK=Kq0pTW|OT0iN>$<A4<7s`DmZBuk@r<j5e{0fFQRvv5fo>*c~{I
zsI+k+x~ds;CdwflDFhT7&xuJ~`D%5@i!!p0`y*oghNG?j+Zw^eOJF_#7jD+w^Z%ZU
z@IBJN<VR3Z6>WYEr)j`PJ>Vl%D-^A2H8nALCi1=SqSp1$^#(2E1P#6%_<QO4?-I;}
zYV9j8hQK2etM4kH?<xmSCc(P*<-Y^)?1eAAIz3@vUk}(su|MG@D)9Cov7;=%A!iCL
zAy5=d39*mgg7fC`G&!Wlw0?SWvNsPGuySTis3f+&YF)k~%eK>^K%s5^s;)X9>*9oR
zh@on%MS&N}R!u+gHpBijUB9Zg&&kCFv^Dl7Hqs2Y4xZ)m7`{b@YQ1_*<*j-zN}OGf
zIdMg&Wn__1I}mwKJTILj$p-i)_*1wfX=xH^X0Z8~A}07hzeivCmGRUPJ^&Y0^9|7r
zHL*_#;WbROcj(Y^+u^0)r|qN&?bvqBfR;wndI?r@b|8DUd{~zlim3vcfZ$&VgUo^T
z^2gK0F1(vAo7VKj0m0y&B17for$J%~(l`ZbOuxOG*;lAAce{=N!N_DKx5-g6vVt0^
ze}Foa7yG^~LakO$TWP5+F$U#3WtGAA?xCXQxb+Xl)@HnJv1%iMv1(7X$G@g(0gcFv
zplQv8Ns%Y~$;NW8&i1VJ*tWxX&SdQIK%+3@<2ja2)SN?sCx`t|^zvirp1xuE7~kLD
z8xNEYU3!EO9CN)r8*myBog%QKp7kfRI-*CW_!YkT7}&Yy0{#MG_n3t-Y4j}RX8V4p
zLmX1FElo|O{I8tjoz@kt3Wx2Dm80Vf0z4@EmHm1!R9?kTizE%=g}$e@sWD#7mDQ)k
zAi|(;HB+^CW?|WRy2sKrAmx}Ol^?ND=$y+ICYDg@@UeSGuI?Q=7wO;EY@YNjY&M^&
z&|7hY<*B7GAv{?^Z>$FY-u2)&)Uf;cDs3Q@@7&R<wtkbsn}3&Bm*;KwUM`QAqul0M
zCm+rM`Rgvu3PY|x%*1xSvqfI3t!s<X*FZTVjScTeB!koh2aM*)hEx7@@tcJ*eb_@>
z?4R)ns<^Iw9fZpd>6_tEPU6|uUV!bU85c8WhPBh}&X>2z`%geeFE96#Dm8A1LWKc+
z1~J{SRFu@V?Jb#Rtjjz(0Yuao_S$b*qNF}mMRGTF#alJ7$G00(GbR!HGyOJ(Wb>CN
zhrZTVT78CM%s+quoMKd5TYM2|SCa=BLeOAfZo6Aq@&w5M=Ocnb7%29vcNb6fXnMsr
zBQ{NvS5y$R^Ve2B5dC@rD6#OF6BHo+yB=e!-|_nkml?2LU4McB)A9<xr^yxYKdi(1
z72uCpKz>j+4Z2wH@BP@(aSdP3%@zGU2Om?{W7iuv^H>V+9{#z^bN%SIJ4Os$1F|L-
zlz;Z$_lJKSzL;CAGXbUm_y*(Sc{%4(Yrgd-xSa&Ofj55!{zaRUL~nLG2M!UwTXM3A
zH)s&5`@;gA`<m#+3-a$gwqt7{h6wPuq)~(AMelw$C(3O<h#y?ZvFI)@z*k65a?MG=
z=XBG?qJ(@jmbqFXpAKfX>yAtOxoN_yH~+WjbTd0!vo|OeuF;JwIgzT#u3SKhC!mdB
z=IuZy#b>cZCqiOChawr7&=U1DiHX@%=N{RqZ$E^_faDT|Tr@$PiP$L~iJdt%Ewup(
z*R#)0T`MzNb!!%IpVV-OSe}U{m%d*-*!44A7G^F_;07LPZx9eMNg}bVR4-azU#Hx{
zdWYm_z32s8^+~s?>o|*E$0~MorHm(m(`|?BXXWYT_hz6?Z@ajNXM_Zv^j&%q-l{n4
zW@Cl2&5DxNNx+WC+mC4~RUCJ`XhM2unmd1h7Qzz)I;ugrP8}X$`B<Y6pJlk&GRa$8
znIh$^97axIy%f8~)Y};`3E)$B&%r1QJd~r`r&2<%CAPc8rbU8o&*SjA1zZ$1na0qL
zpzx^Z7@k3?T}1lP`Df8By&~TSHcz5JxKn)M%I!Z4-LSh;0{2L|?k+fTfW2H@awK_l
zyOjBtG{^T;J>euvg=ld$_83QpKi+X;_NvVt?Vj#B5{Z)0%w=QjNsp?1pqYuOugzYx
zJ7uHYDM^`T@e#m8vcpw?H1xGhCOzTRRZU`@SMx+AhM%bdVPfPIqt)|_o0N_dHA51d
zOM8xdl{9*x@2<vOPI%y=2qv4W`Q@g(p+;0lHYFNCGVxR0`sxrN-TEKqXB%p2)r>j{
zz*RT0c6QMF&%~Pv`^)xif{3YYtAfB8ubRF|@voWCgAW5(S!?I@jQ#j+1CC4Vw8d{8
zZ49{wf|0(InRQ#h(G0HzG4<l4^4(WZjd=V)I>fguJth<#n|EtcI^y9``db?_i2AEB
zfp8232E@3G82LCs(x%wMOqzRCk8qK`zrS3E6n8b+DqC2s_mi)hI|Y^Kk(=O9?>PTl
z(Ef>)>*LE`jCjQs+lS^xk2X3Ot<&g%3kwip_F3p^by%lG&p<Z`i0C!pOkO?MH2V>W
zh;Q)&FXc`0T%|g&bx`#cN!$QKROc(!kVoSG;B8}PAk%Z|&<bCgU%;(U&dCyK{ag5t
zhG;m^LN0AXF72kbW8^=bpPvKn)SOl69Y+mDOHCjqTXv3ymXt9a(x!zF?H?clsP~a8
z;UNQU>&}!cMn5w^^b>2-Y**h{r4}KC@O<l=7y7f;P0TD$IuM;9W_hhFbxsZrFzz>Y
zz3b%vxE1v%m(YIrxn^oEp0VNr5hiLC<cvi3nn90e2Z|beHg0+GS8n=Bo=Okl5j2|g
z^x*1lo1RX+)SJr_0ZQ#x{W{H_EbzfTag5|SWipkWv7WtvAZ2m{wL+S#V{N(?cfhD#
z3O+Y+YiVyUXpLPs^giD7cnwr6u%l^TN!;!*mguazBg&-|d+4YmM<}zplg`Xcl+_7F
zmQ5++hXj+fYxS-!FD*2eE~Yz%XEe=~9|bC5wmg5$+bl#f?y6IxYe9CT_aY&t{G(D@
z883||#c0z9;D7m2h7#b4XZE4Cu>}Fa_EmOXL6A;u*?-m;dPTD<0;DZ;6mu#wuDefL
zTU!B?z|sIdK1aWQzn}MZj*n=W*%{KN%T{7#MCKxUX7mQ<!h1+~xFY!3^sC^T-NDKJ
zmGyPgSFhA>4<6HTZXh8dQmladB5(pHQAq^9zxwes#!i$nOSrlPt?$_f!f2Y`roTE!
zX)Ek8zsw9%=vF}4aR)7nGB0yGaAPTQdptxlUu^6=BMD#>ZXjQ6%p_`Nvyo<14mF||
z^RFa)^DfLPTLdQ+4QEuf%78@g(gZ1VIF!!)E!(?1iTZVfetuFWYghz$d4t%xeQ*=>
zgC87vBzx=;YA|qU5NR}2lO^*N29O|CY>;(+>;UJO8e|TS__H~y7#Rq4lss#i(7|ly
z$hXfaOKq!YB6erHatU>AD5of3eOuC267ZMiP&(!(0Oo&NAAUTf+@f28j!&<@GQUJV
z%SXHDMdg?K1V0QNoqkyy7DrL;frY(3dqUu}ua-#EI70iVju<rvHOf3C$@nckDe_D|
z#!Llb3RH~!4W0glzFI|thOO)_i3Bub2=j9(A!U10`7pPai_}SzPohjZH=l<nLqErf
zSgvzpu;HEhQVB&$LvD90<$)0E2dxFjYF#Zv#Eg*!sPCmG32wzy#>rq_&u*T?R3<is
z#d%VWx`%8R3?w|q(zfQ9cc)nNDk2zcxB?<@H&B`c7%5QX<70@3#n9g|8|v#fICmRY
zP;oe>!*0yDvQ-$nySvk@TnKP5l{WtRNXnY-Rk?Vcp@H@dFbv1W3~qAaYUQjF5wBX*
z3P~iX^5{)0<T~!L&InYZ(ILIX(8)CNL|Mi*uur@*AHI5k6@~l_@4}OhMMVmhLjD{R
z%ATcLn@PtS7x!1L-n4$B5A>F-cevAyHwmC+m8WVc@nU0Co+A#oeIel*9N3yrZ_=N)
z=HDl`1o97)+QuX4m`AcfV{<CaO9@@D_PZyU1>9_JUaj7?US_<+tI?~mUK&2#9<6sQ
zSoO7b67ay`<7=S)MvdK!|G5q<voT@D1pUwYlDj=txT3Tx)e=Xy&3g+gs=yfyAoR=o
zuPJo}E7;N1UGCel{PN^7)$mfYWArUM&X!Rn{e}XLk@52;ZMZ*)<qL(8%Vs+uu-0UU
zCakt*@nOC}8;Y-9!sXq-G;-}Z9f{}scwH<s_{FNJtt}IW-^im<bx>GEFgxKxiAwn2
z^|)^U^XRe{XrTKMI0z3e61Xp3<3O{wETisVcQiXY8~nMo1<xlt+~Y)q)P_ex2+cx4
zHxB8o8UEtD-Ou*2bdGG5`T8wS?XH&#mbles>y!sc22779hquz^IneP=JO>-`Q=k|H
zF3T{L@zmvZw`aV1tto9-zxlxqg+-49DR01vXDM0W=@1E0cUFfp)Zg@B-W9eVN<$*u
z!NAVv22J3g^*OJ!>FK)!{@MBBHJ+=&n1?31&~SGj`0nfeYdyV+?Teye{VHNHDlH2=
z$Sdm8A9BQ9ePC7=vugbXx-B$`RO5<D+VQIbU$Uo+x~(vD3V(83r0fm#p^z`uT%YH{
zaR{_X;Qqv-GZl-+Z0p@m*4ReoIqtkM&6eT*FC?#&dE<sBEliT41+^|G=tMag9s7Mg
zL)E5DM_HhfBMua0lZ_)X?@5go8r#;AmfwPAuZtG-9;IjZoa6COJvq1-=KP88a*fvx
z{<e$j(+vYYOz^tiIg-oD?iT0sG!Brkq3u%WzIp0C#7QKNB1FYM#vqM{oG7Qk3W#xl
z6IruxYsO~?T-2uZ0;?+3J(eX%5NZoQ5C6N1j9Ng_vEu~*g+`lZArX-~$p!0PQ&(Ht
z%63Xb$y7%M`|y&J)=ktX#tSut?v^8g5xewqx-SC{*B}3_dQO9PooW3Ozyj<FYzKEt
z#<yP<YF;w+=8H%Yd~xHFOv?+Wky+Uu$)-lfR8|9DwfaMI$?w`~$fRBvxV_Mx6XEup
ze2{%l@37*TF=Xc3y!9aNqaX`V#97{)3Z~e<P4mkqwnmsM--k}Fcog!W5g{Qctd8Zz
zB_Fcl3Rpt#by%sk{NGe2dUuPFU|USq!zSy9Uv^3tPn>*wEx&B($(jCb)r}3mcf}6G
zs&}REvP%Y4ayDO6j9xwbseF=`r+9ZK@#a6s1l4E_Qs}8K#fwyiZI<T5FOnPnt7pxR
z)zMZOb_GG`JZSnMAJ7?WrDmu;szuJVph1s`qrcY$IhZ}$`2@BqX0i#Qzf`R+n12Cp
z5HK2}39o?V;OmB^G^5IW|0oNHnzrb@^)31D@9XF;t0$B?{e)kqrqn=E7qkvgw8g7t
zZRKJJNvFEXPW^uGYP%$VS^jmh50PE|BaOXIr&mp10iLE{VXBv={tJkMD8rAfD>Zhc
z@Z_!<3nKGnuE;p~HC!h*l^QA;P96SWl+Q@t9xIDoOpO3-NumTNKFJrsch#N0HhU%j
zF%RCUy)?SW)yP#)^0RHt!b9wW?Vf~;g<#PTl^|F_1nek}AvY~TXM1TH<R^N@->tE-
z@hm`tm|~ile^-xGcioB|?^w(%FsJZ~y88GCeD+j`##W^EQ$gBq^uE4VW>U-d{hZ*~
zw^5(4VI1i^w4!WkTihozH^`f~ef_n1z^0jWQv9t`AF-L`6I+|1!f#3u?+|!~+iJJd
zUVf1C2@VDx(%ahhb<EaQCNV5}-&$VEZxFg9qOBQ^9yc?I0tzA|s6m>m$d@&Q%fFQ2
zs^ijur2**MJaoL=Qq{PG5Nqfnvr3bB%_d3z`nM?1I>#=(w7!0Hb?0<7oBr9jFhws1
zf8g7{$e+e+abU9Rd$sUesft{{rOY0)JByt@NsizV2IJc&;QRtA{+)-OJcawvTbM$B
z2s+D|P_paft=0FnwWm&Uy5I2a*v1H-+NH#K$SAQ8UTO>NB^|PiU40AZ!d5R3_9_~`
z1&JAu%-@I+)ocGs1q(}JXzwglxHi=MJm~Z5+t|Ph)QnPN^y8_aweE~AaD0|B>)G?+
zK3D3%aDpIuvwr6v`SRPyDJpzaS7+cS1ipLVD`I+u`x1AW9Dv1k?*0Pj*fv+^MNr7m
z(CeNkew`ml*be(UA^((1Pkr<0W82QZlMTI-<yuV9S|%CGAWeJZ+={+kjToD0wNu)H
z-;$UyV6!9mK!@;;-oVt<R7xdnXXJ<hp#Bj<kNjwcKs5vIx0jw%Fz|105A>Fl2?Vqi
zcWLCGJy5;aXGC8+Q=g_T|7uspZ(5+{s!!4>jll&K$CTS|RBq1Hm)Uo@=DR<tUij4v
za`St6-yhXo>bxm=t<M@pxZT-6?xfm~ha!&n+-zPwpuij!h8(!`{uRrmjd{Ct<5#(-
zBop7F4(PhY6H4!dRwC{Idl?jvZ|)JNco;r<vfJ9W${$KiVWpRO)&5)i^q2Y~1q`SR
zyMpB;)Za=6%DAJE(mSs_-f(||`omVG2g3wm(lMVLzQvh*p<ob|9{H?evTkP1oVzXP
zdeT9wlb|<Its4jR<LwRM<Kt^LdG4*)UBcQCLI)?(-}z|Q98<b7%H+k(u9}v7Z%t+@
zHSkQ~_PWE{F-k8C3G=Y2jidqB(;1SdI37n46+pf`n;Dwr(mMq3qk>Oakr#%}{|J1H
z3O<XsIcJ&t>;?0}u`-MDzk43FwL@<z@vFRwDm0x@^rLT0h9$n}crU)bBR;XFR(~$m
z*v&Y~?Z~hHnf)oL?e7-)tD99U&H{;7>!!&dOrtsmWMT@P&P^n{?(f?Z2t&fMjdm`x
zf4Kel7@l;{Wls>HjkH_gbip2FGNm{6VU)<|Uw(fwBncBAf~?RnLc<V{k-oR4rFsl<
zv11*hMTC71a8^9`A|tcpBE5wue-wr=c3u9fU%LD_ut_*bGIxCCy4o?|UoVnA{ik>@
zy-w1p?00QJyqNz$+u^(J6@2;o@RJ5aP@;Li()X|e_rm|-01<t)e8E$A+XuYEIrZ5l
z{u{>Wvr=Y3eZ<53t$Ad7<51LDW436D7?x-0lHH$-sxW-?<nrtD#R4wHYOoWyfu|%Q
z@%>l@`<^6eWhG*{^}daoj2poTd!e3Et&~-aCgyh4@GrQBQkR>Zle68hHvS2xTAcJe
z0yf(}V^|rl{se=_;>4d0fn}9(PZ9U6p|>p&rbb5H-iL;oL|qW{gP&^z<f6cYcOy@(
z#GDn8ru9bmI52FstYFx%vy^WHfRQg-vcxxiyaOZ6eL<OD?hE`Up$P~A8dFA}@|*H`
z%#aiCQWTI7$qI*aUdqUUWQvEuJ^HIP{3}Ux_h0i>)aWA@x4{DTwR(BExm}K*E6#0R
zA$?!(RLE}A*Sl<$U0&y4y*ZD+@P81CpDiK*unfq7WWf)iojx^j*~Y)r`AL&z=2PCO
z4z&NkQ->po;Mt*^HpF?`hVc~t^><d8&OTBEBxJJ+X3X;Whc~_HT1qSk^Tm=Z<*le0
zbP$_mdMGjfca}J?T>@m~RhT$ftyuAF2GlQ2@S6!c)YJ%sh0&z5G9eIWdN(^duAjaA
zLO;&)Ut3^9K(NoT^cq`?0{L<urK~=dpLR;MmQ|?YUW1d)eqq0ke?~4^aSVo>_;Y9O
z^PJnF_cgV*9D0WA$-Up?ntaphxMx$_K05}~<?VRHbEd8owwA6;^{~W|d)s0^rme}=
z&?pHT{a~Kmz*f6$>if)*XXMDgq=CKWt6hSRTkm_0B~76L@yE1D+hI9m&6xzck7P_u
zWZT;eeF>dUZ?Z1qRo6lBI8b`PKc%a0Z}y40+4O%cb{{?(=&#*6lUG<;^+AG4nU@C}
z2cFVP91kC1Umt=cZiEoP&;dJq?~$NE=GV(S%K)`fyIrGaBvcW#<UbSjnVQJG#NNB*
z;5{;UW`QMlCQ?%a9tmz8%syzOLL64PB#0O@vc)lBZoF4ezqAE9F$Yqq==7UGn!}!N
zn<WXODY(yg`32CeAlv44*O=!A2M3@8LoxG%t-<98xhp7q6UDWSQ<Sf@=XqP21}uVl
zju;*}!2z&YT$p+W`3Al`#p$(RPbgC<yhaDq<YZmqj3}A<?PkEmz5lXU@LoT-Pl@Ul
zJNf!W*=vj~GZt1Y!m_v0JA658<-FRsc;Oj}nYNd*DTn5R#Zza2ykxz$-vQ0OJUyx|
z74HjRWPkqCq2!5WOcN9(C&GP-*jk>r#X*X-j8zLtUt_*|H!lSOP5?i7-e6+cCqn}*
z6*+Dh<zm&+8Sh`WdKv084PR}j9s{2flb-M?_^m$F*Td+Lx2RF5?drk~o;4FkZ^GNw
zMWu0$yXubbf^v6=I<Gw^5#!<#wpjIyYV}B>flWqh?5~_X18%`EIE;bVh4xa}dcW#1
zfy;#;1$`wVBx$FytBtJSGAu1Qg$yy5Cn4Xz-H~z(2gna#d3fA^IprwQ^r=66pXX;G
zXnwgmwm9jaDP<ow&d|+?6d}kZX5=o~@eBTU*#lTZK+S{?C})!b!+Q?HJ=WKUK@2E2
zkYql%(0Z)Fri5U!$f3qh%Kh7egSqlhs&ndaQ73_q_3l)Fp)?p=xUw93(6w~6x7$A2
z$4;amlazZ5W{>OOY?)nYwRHUSGX+qm#RHn2*R?(+v=&&mEdG>bbmF~^Pti7~a=eh2
z2MiExO6nF5VtqL_I_JG+SyD4IPGa{2nz|-m^IWLtRXH6SkHx;Z)JhZ4eeP{CPC)zQ
zqLAR-<*CC*5$lKigA&>{IyOB=smPTmKKU60TFD;?s<DAnxTv#Vkth8h)~wF%?*r5B
z`vz{O3D%tAR?X!^)*~lTgd&f$YJXl_6HrUy&WIfgPJz4SBh4k9Z!n3Uuhz&{+Az4}
zucr1wpwC}XLPs}U91XsK0WW%RvjgDW-ZNv;sB!4j_&hZE75aet2(Rk9r6u6gM)n;1
zNc^)7%|OZ2jE~O~&0jCYhQ71m!_vRXuXgZ7bKA6|gG04x{na1aHo4SVOV!Wl=~6h@
zkr4^WH$=X*tdGnj(yUb|1Y!z3|KAHRD%(FNPCv++#UH?wzZp)ZMKTfr#2{E<z|j}k
zl?<)=kGBr|s{}mN`)+!5dasK$Kj;6Uh<U%{<gdafi*NUI^z==~)8iPrr0=kkt7u@|
z>$|B8xvl)OQJ@9`#0wzyY7&`%4GFv}=nt@nlmO!RAV?3;2`|tUI+UdkZZ@Qk?#{o}
ztGQ@U(?svgDbu8hV^zeZ&e@bihjh>r491?D;y4B_n=ky8>oa|{q1|t5(ANG~(&k-U
z^UuBNq@`lXRBmJUJ-3z3A1Tr4Z!Zsyz@rIxJxaX1D(4i_kn!&hf-q2xC1r=Tx5jFg
z#T|L@pdXF?A(k37iG>NFRM@D%&wYc=?Fk8fFGn<&q_*TM`2zM#uL4hp<-IyQW?mM;
zx@#<7bS8=;sVSs28IKl}FR!i|r_qBluZP6gD3_>KY-Yu!_1n*(Ae;eegjP87If%d3
z4ih3kh)7_1X27~mYGEpYLf<i{qF%K~ifpl%gTIqj754HWa~uHTH2z7`3h`0B*!gOh
z^=dfsB{4UWv4&<?dITaAT{a^WsoDbbt2>Z0!+LMPC45bUAjjMM@;H4os8~=ZN1ZWr
zg6j_V!UbaZ9{XGyOD~|e^RDq7XPmUs{&S2N<QU1vz1yQ-Qi;O2hfrdj6#mYC{4xw~
zw7-5iAalMTr|*rn_JDraWjDa=DwV!IHu|}p?p-OW0dn(m`%YYK-9hf{C+ze{#TX?4
z>z-@2NmNwHqcY=&EULND_Dp*{Wc40X#X*!%^$YVawKeuZN><{F$awZ&vkG(lN)GPq
zdvUw7s#W;?%ssbDk^2kJFUv;vOo7+`_;NW4557J)@8QA@kQE4;>Vi2Yd0IGBGsi`I
z+f~m%Q0+BM_Aw*3$uvJ~t7P1f*AEKZE4X_{d*r#@^c4i^Y<O}$)C*i*UZS36LwUov
z{Ui_ub#(zS-2-2RzreyRU=`CV63A;CW$upFJmz8uM3#1OHX26}=HnQT4eB(9s3T_#
zBfct(Sl<@=bDna;?BHap^Dh&pogTYNnbz7jxsqv;b2iiAt9bD(?EM^D?iMQx4ht|=
z==0gVLO&Hy01)30oxs;eN*8}YeEjbjs7HgBLmh1t#r%X<rTv5V-YmR)_3#Je5UbRK
zeu0kTpL8M{bcKw6L|-a())_IXfeTE;v>GQ4?qRi-ceC;s1~!4kriML_O8Gf06#7Y;
zl~)mwz)ou4{{G0W7VJ3o_G}7ajEsz7?-D~p&C29x8xnZP6dbu83m-1!!u&>)sY0&v
z&cR(mbefH++}sJ72io}=@WEwsa@jBp7ja#0`p<QT|Aj-UT?(##v_hDiMmTmcSFu#1
zg`?xa*T=Knbs+xEKIC5rdq~V{Dr?qvY#0IBGw>aQm&H}=!wEkc8#mpH7mt-8>hNIE
zFK6+<Di0nc35`5iQJ|PL2Ai6jNLoP^Q$v5(dXh^TrC*VGE3JfXMoY)-NX(A)L(4uH
z?i+(lno^h_FmTJGUL=$Mw>w%tZti%p+h3in`ziv)=IaUZrP+VAqx7cN$GDF1jhR3A
z^y$;^0IARfTXcZakR*~Bf~lPiaYr=iJP5f(M3;gmR2l5Np&5Etq<tK1p_eE-&QB`C
zN0xY`VzYj+ixe6~h7NiIc;h0X(DnUe@a)V&8$!4@^FghY2iO5&aj!3NFAaT5MX8p1
zE8gOB&5nTHXaA11;uUBcY&8U1is0_2(dK@sS7P-`PHijBBl_(t0Ew<OHcQN@n8q%G
z(jNVtX6x2pB(5}~?%2Bd9K322qcsVtZ5%4;haNak=O%JL?3J+h@9cCBE|PS4_S!w%
zHfeMkpn;nb4O{VOuDJ*~H8~}R6hGR<@C3DQFa3M}{=|{;NcFy~{Z0Gc)RJjyuX*&z
z<HEKqQ1vraDCU@;_>Q<PjSS`SF7o@@Y9;}V32f8|hYOBL1E^mJ4A`)G;VG*FX`Ryt
zCr(=-F1DdAY4f|p7fev-M9lp6OlzT}K_PXV94n{z?iK<CJpSh~+4Nrs@lJNL8u+^c
zaqH?f-7$KM|8a5gWk=4Wgc@Y(*61RKt|`CXvGf_j?;{bNC+W-r5<lGV=X@9wb4}iN
zN)8&;lK(SI0E72Fyg(VA*-ieTlI-h{qGj6YVJ%4EP>bJ~|D%-Fv^9_a7F#GaHT`0d
z$vXEZ9@%=E^Yj^ZR5UMsnl2vm3??S>57}s=1T5TK!W5dx6S2olgPU%Sj>?X`y~|8>
z*lvjS3N&u?kXg8a97~PTkC>brx%QQymfAKjx&!iWufJECLh=HsA;r)D3K}Bf4?0)z
zKmo?Lv0nr|Xl2ru@dB)%vGTC;6k2E4%X(8WpQBYe(f7x9;2g&qY?zB3yZQC;Sbz*?
z>c);&OKIsRRs&O4))1*fSd=3#P0Hr5mAdJ|OR${1IfETs-0qKbvVE~$X;WPwa;KRw
zXYSXM{9*qj^fR8Dv^)#bMRnVoM13^mc{^T8J3q1)U(1!Vn%Gx_&C>e1yH{M=sXDd$
zks2kAu46#w^>|#Vo7eB$4wq>0VWBPr$49kQcw}}ezbE_)ePV(W!Lk}8ORCc`%n?mc
z<3jNpdi_V;CLwi!BB7xV^@L1n_gCxdl8lAuA{9)M_^I@T;q7cmig-AkmY5WYqd@cn
zo2hP}(Bi;v&{+<VWYl~0*EJT5cjW1_8u-fjb-Dg~ZQ&ol`pJo32)495?Ua|IkKl~-
zgG(FM85T%wvgkGby3~0Ee15O&=r%&$9=DJS`u(vY0zI7jqSMN3*Fh|%08+PvW=>+G
zgb<2XO0nG3+)Oxn`WL+sGIPC*0wSV>M92x^pRi_}v!H*V7}T{FMTG9BOeH2hqV*4}
zpYoHo%K&Qf=g(bGl8?EqEtAoMebkoADZl(+D7uF2AgXfvqHe?WS1#<0XYUQyefVn@
zsL|WPi`f%=vhCqB8glOHNyZ1IH5kYcj8FWFWVX1td}@M<sz3CLLIHb2OP#)l1UZbm
zLduf7`~^yAR*9=70)+lUTF=g0<%MHGYUt6;=%!S_5Wc)<6opp*zn}6Fh@o&V&~b$u
z$g#fs_$OoIwswQHU36<OjN8V`>teap(N8Z$ni^U9M>NksS;oo^-!n+k3Re%MD<Y8+
zN<V{9o$G@fB9LZn9jCv)&!M5F#Zi;1Qf-W27KCA<L->-K2*={a4qPO_nsd3xlutp!
z7KJ|Zjj=HdZ-AOdngN-Pn!v;1V^dGhz2L9!Kxk)=r~Ce!!#n^{#;j1q)!X1Uo+32G
zL+WkO@#_>s#*dAYW?UTyBs*`)fCjR!{N#mZh^3abHmPcwpye!o6*Z3%J{jtdT>Vj2
zOQ%54y=q$&^sR}VGDesm>o+MY5%fQr&N3>>u8qP&IwI1-5F#xl-6h?Pbayw>;Ls`E
zB^^@I9n#&>og&gABB<Y)cdgIADlTE3=iKMsdtdvJX`-g}`wIVX2ee7JJ34)5^g+I{
zDiuSvzSC9_^H1eDF5sKcUaD8bNO}9@l{7?%mozGP=K^S7tUV7`_)}V7XT9SB8+Ijr
z4!Xy|%W}m*#8IvRTUhU8a&pqHbCt_aN!UWb(!?KwWO*w;nZ43FFg=;2VIX4p-_=$9
zqObGxW{g)5zAKdz=KRFP{Ea&>N8o5Z{Ad5@$vmPv46@T!3@xTv#;?@KKXKtJ(bism
zoQ4&g-_+df2@s=x{<RKkR<X20S#@~B_GlGnmn-4qzK5mHgdjLq<c)Ygz`88A5>3)T
zPp_S&WWD<<yD*db6FEHeG3BS$?yMq=Js}<BT?6%1gM(77nyS70OL{$jey$Dvo+f+a
znE0y?V&YKs_bd#li@v1ucJ1m1Cok`j&*qoPRJOPfee|bkmbu_7>*@Kvn?9|9ne*`Q
zpdPn<w^Q2R)v8RPBP{E1l=bAT7OVD*|49FzP?mXghX8RN_5TVVPYv@eUw?D0y0#z;
zRD&@c#f}Xl=Un2ka`RxuP7Qn+IH`jg(rv~<Z=T}A8+qL*r`8lCaTK~Bo1YW@)zGnD
zut#B#)r{a@I;)Z1Z(hFxuWJhMIX*u-L++Ikxk~hN&=BbW8fdEo*=1uvQ@8KUx7AfW
z0f;IKBNB9*a3m6=hAPcF3dihS?tofr)#?_sW8)H~qBN<HzL0*7f%>sD9?S|p!||11
zom*=Wm1djdv$#nGmSBum&pWVfTf58px*x^(Mz$9T-ZmCmLurCZ+`uKPHCd7f*);zc
z=V_SkUPI4O4BLD-CRVM8#>ix#$0Sf0qW*I@7Glehlhh$8EK5zV3_9*!6Az!e-NeQ|
zV-y1|(F{*$h8j`c#G#l_HSKoEkz?C6z26&-$Dhp(88^&Ok#vyF#(ecju>A>PBqKEy
zbrcdYM`n~@4EJya`Rl-kpv|?Gtw6t5;~3iIrI60Hg)cnwd0isRX?@^OIf+X3!Jh?&
za&Mt-5(7$_UG%5@5S8JhV2WS)G11s$mXjkXuShK@xDA%GK5>2ds_y*EKFsR$?%>h$
z%D@C541%qsZ;w-K8;Jo@aKo1)m^rux;b<=;0sAD7n^gzLP88>asmw%a)&<apCrM<g
zRXwU=Z;hW^4*FSeBjtM-zi{kVZPO5%JROU)+M-(glKqr(ZnfCceWU~5TG=a47ko@l
zZW|iOwp>8SW$q8-?b)4tNj-pd|3f(?&kGQ4ZfZ(h|K+SL^ZYBdDwv5YJDk?8Yj0S>
zFLsj~NdgoBE)fBR@yS!6!!LPLqVAIwW=uA$o2Eq6kFJ8<9O%NuP1zJZ@^#e0EnYZ<
zFRr1pQ;3_pscS>_+TS?KeG2g|{UHcRaRSf4we~O<N(iGQnIifWq>RJEvF9^!N$#~u
zDbnA=eG+jho8IMu<H#>dRrA+Z;Se+ks%n0R9+%Rszn9hF$j$*2@(XbjM9c;N*R+J7
zCXnw=fABfXWYVtbyc%P=)$)<)>;WIywdUNTyRQ4U$uvP;D$(SZL7=(9{9w{ClO2Oh
zYrXw##X`maK@L)KMVyYur^l-KD3FM+C%~B04F=Z6G75J^n*2r@b7Tx;nZ)Y%>2T9f
z3-*^B5>M;ZGut_9pFs95mtlLKK8n8ljN1BnLR!*|tJ$0mjhF(}B?ULjXYTgTFij{<
z-TX0_zO#!k?5Ry0q~$~sGkGN8=)_>!(l+w31nmUC6IJ((eY~FI4IK5G)2$y3#UbBR
zmm?ZEWyy-$u?<|$W==M8EO;)e#-mz;5Cy4tmyc%%Kz&NJDpNl==N*M<rab)yn$3-B
z-KW5QSh)B3uq_t}c2=pD{QF_^kbDwktSS;D2r2=$y}iMkmX;40@GaoIiXV2CavrfN
zbqs^&Co241+<)J20dfvjnX(VP1u2Zf7%8-j=eNh}tZD?G&q^4Ws0W{Pi22xXz88hq
zjJ#2TX-%a+r-~3krJ9<W@)XD&wNQ`qXT5KKF_cM$+p$r@?YlOJ%q$@_w{81H(T)Ij
zRzM%QX9LeRY&3O4p~&~o<`FPp5lOMe^ZZ?s(Ig6^^n<#i37qhD(dy3mHa9NzM2L78
z-h!wZU>9FsADDE4JmDww@(9}L>n~q4wJVSJKZfDqViwRTDy}8DeLh<9Vtrcq1-l*2
z>PmKmQYTItKMdI}wD6kn6{U!`W!YmMKWi`oh2DS?%sgJt%sB*bSNDG%+i!sZ(G-S$
z+<Ew%iFDn6!CtfNN@p`U@1#BND0K(B)l%qA*66z<UmW$?QT^#@PHW8XP~EmEmG`EM
z`;OC!ktV@!8M4kM0MKP`#<hz&u9X*%YL>ul>&3sz7t>Qy-CIX)14>wJSUN^V-QJhG
z*dXPFfQkjQI0k~e7jiG~P+|Mn$p|S~=n|p^sTB{iB){IWu!ND&(6CjdsNZ|l&yjXI
zB=x-bukg;n0kH3wlTtch+I+-CNVsrP@sKbjDorD3mOeQl-6`{;aP6fN@d%CFZ_;Fv
z59pAPIeL>!i8hqLv7DSv<XH$iGkz7xIKGazkhBOGbU{Z9GA8eBW1{UFSXjyvE;4?X
z&vQnJCT0`d<`d?c;oy(R)qivoA6P2|k+6};orxB#_eVatgR9=0Vd~ZR1v@U|GI{XU
z!31{XeR|&$(=z<2>1oziuTl?x4#5BrG5K9YIlG7~EPM#&=x*Xgj3SMdp>I0&QdErq
z<f=|DCJU1brFqLgJy`W6z-zEKc@E!{&HE$~k4J!N%#Do=dS7elmLnhF08?@2_!Jr$
zOp)M|SS(>x%r4DQE86JM2k&)W`^sH^V|Bd}@j4A>m$GNHW%ksw|6<T%@0~E5<+NE5
z;CFll`S9z*!>oqniSZ84Pb(Ng!PL3WcqErLJ7te7r{hUa7^}%}eO=bR0gztz3_L8a
zhF?rF`9o`rdusZ+qREt_P{$KrLZfw3uxJ$9e0u8w|MmQ)kM3h*jxPM(<;;`)0{Z!(
z(KI&5!X{y>U<+x?=TYyA^0i9L8*)rM+{DE!b}dGq@%ps%bY4fnt-$#!Jr=tNh6wA5
zL*e7PHlpXlK7VeOuxlLU=O^V$z@C{vszfI0$Ok(U54ec(j+Am%C`dVy`KtKrH#bc=
z%@;8W1jD645sj4<AraAwQ_bB-YOE`OunPd=B*KN72!H3xR}B9La#XIDyMq8l*K^-w
zeBXqKB~CqMG3xvUGFuhvR|U$z#1q1Xc~6SZh&s~^#v2GMJTg=k9W;jIV|fP<&$uwP
z`Mw6iJet_2rsgsXM>nxLlsO25Lo{5P5=vp!>r(lVIfgfTQm=Z^3EXRcc5G0OuYR99
zz~W~Mm!`rK-On7MW0FyzhK`WAXzc0|6oXZ=8bPi|!0*KAZOd3-$36f4ecwlfTt<&-
z+)$Ye{<uDKKVQ~Ij7u4SL`dHc1*FxIn&VssX+1_jKMoH|#i?G04Yb{4lI)U%9rAcT
zBh52GQ)*aQUs*|{qh&+QC*Z(?qlzPOnn1;Hh$X;uG4N*&?q>PGr(7Wv+IEtK3xQF|
zQ2FljAju^a+v<hW0P-1eDzqO5(#YyVH!$Gj92(2Dgob3Z12?U7E7@>*EzCK$mHZ!8
z5v-+{xkNM~6G#$Cnv=TNfEj}=^(dZ{YW2Umr#!_vm_Q0LoT?^>p={^A`=lN3qv?G~
z*}UaU^C`Gob-p_I=}pGe9fpU)&32*3lZEf(J->{99B5V>w+ECo9%%5VFJsr8VLEA#
z{c(o5P{k5T86KTx=!|8fTR}(oYTZd*_G7NDe+gqhzpG4F2i%ek+Ys<lBiHcwB@yem
z22C-MO0xWXDrJhl2r-Fx0^YIgWWWS$N{q%5U0AgY;@|)IaGO~}7X{Y3Qf#qE^8LCy
zDISTzJ8HSTcQ_p3N+~0<21**>;bjSOQX=#)^a8}Bna>QA13+lcO40X|E?u&x!?V$w
zY0#|?im6GMbh<rAHx^l+iud-1nS-hk3ywr}s=_@!VA>qzq9MP0(nonSO4Rdf5J7qA
z-?;$!zVv_lDu4GIKK%K9J^k7k-1zt}fV2Ac?}71OP!9`iovrAx)OkGe>>(b0ZQP78
z6lnUvo#X0F`K=8)9n<!UXJ<}0s3Gr{&EiVQq6!G%IkL%=78DMq&{6ueW}T@#pPe7V
zicz-=OEXzq5})}WiBchRNSb&sJRznQvw;&s=J-#lmFF_K<dQ&`03?`fvd3@$jloHX
z{B}{osFl#W7Z##_PEI*(7hS2w3ciE4fhW<0%WG@ka&N%C+`M7KRSLL1FVEnSteuE^
z3lYXxtQeclZzL+bmV(tEy;HBoea-mm02)m6jS`pg)1#5rih+q)h@@zwXrwxIa3V2^
zQ~h_(ciS?`#6;VnUN10BAegQ(ult%n3HU*V1Vq)@7}t6Vk$=z2&Sr|<wR1sZG?7yF
z3)mkP?#M`aL}yVk@ASQ{`u8G`SE%C!goTDO)&eDU)2eH0_s&YtUOL5Ozo5kp8#3H#
zYem`i+0^J*1f4EG;99gW%s`H0^u>foW`yJ(CQxZHrs}LhF7{7)n--<iQi=%AFDF4=
z9%3H~-b!ypq!g*l!j1)0N~@}>)E9d(^WSbEMM@W4ioN;Xf*W42;*(37L?U{?`_33b
zLRQp7Eg6?#kMkfLcq3n7zf|+=<n?vN86WYIt=fpJ{$7*zVv%(by#N5hsMTKmF<)z*
zH<BIp<&H_W4eJ+7-^W~kniF50iGTVN<&<;09$fc6o8Sz)(zdI?t7m^6Kyco>^f@Xz
z#!Pnc2?~zG6!c!1V;*(tRhQbXp4@b9hT#X=Y}C(ZH<+p}^Dh4LnmFOqT5aYSXCE_J
z?n$r##?tikbnF1J6VDDQwI6(2E4adQ$c@NvDCT~HKAQ?~kwvu>krC1Z?KS%P$?6|l
zYQMkc6L7CFss*Q-aBk2BwTKIuTLmvC=QSd?qw(SQn<Se5=Fp!_wHs|pCF*yGLQ;v?
zcK+RpFm`kk$kUnXE5kuij7E%div)r7p@2ULnR2G;<91sr9r=sx2!|xq2W~u0X*@_N
zbH4PxC<!jwQS4fnTqp(Iw#b?#&_b;12%YE%z4$POU~NMK;Sk8<Rx#zFa*mbpSKAfX
z(vqZ6RWjl~=C}-vi~<`U<C`mHm16QG^<Vtd4hk>AMg6$YcrJ~D3V!r{_DINX1gOQf
z^=KipQL|u6@`pYGsH|XY|8t`>i801JHv+>?J6LjjHTP5eCUBP;8ynZr!2u+X{|<%1
zU8nM?-m50)N>dZ2&B8Hf)F`-CSNEG|1)#x!J^yrAS#NxE*@rBH<Y%61%jXf(0P9!$
zHy1ISs+t<`jr6wgFF_T(JS<7j@8>+)<vYwNGNr25&laQIY>M&fCY3Es!pvwkIq*II
zbt$3f=uZYS|NZB$w-9Km%DDy+m1B=F=R+{MemBZ$NDctb!pP-qe*VVh>(!d`*G<TQ
z=H?-{TNzA?LyJFfj@Isa3y~904~k#vVyz`>S?D%9z8=lGV8a9+=bx1w#O7dRUOVkx
zds`1$Nf@7D9Pq#Etd;mlEEf@(w;I3A4&IvY6Pw4}j4Ty(5>Ozx^r@Nu#y2yE$KK}M
z{PWqo6&}x70lU5qW8-t>UAp6Vs%LWq#UH<ssOe!8K=mqS<e_Q|c#O}&#F;Q;pHbv9
zhb2K(W7;V`HqL;eusJQXg~h1c0fkP(Eytgy-_Nfe{__2NZ!Q>hY9OfW_WIpq4nL=L
zru*i#$l5IuP2&Uo7a#i9ONLu^O>^$A>0>-LNq+Cu&1Hpk;fazD+I_2)dNj{9sb{;M
z((gN~!I<jSw%!`w-QvPrZ@=J0iELti5njdf$!h)Ecka}8AfEud1vDq|!+HyIPsb&3
z37Jn-va}M1q@yz2M5Z2*Ml41BC({!~(#P%5M}uw)o!fyzUgXpPA^{>OWmT(&9Q?98
z%e}Pfy2TWwu-RjY7wZGQ86d_i9W{v!0Php{_gT_GGj@vjK=9G29hZ^8D@<cL8aX$h
zO74H%L#wuvU$uZzm~{F*M9p@ufrWHOlg5};!(Ae{WbQ<~0L)XcAq1&8!PgHv*stfu
zhB6Q!NNnLBGl&6NQSSgj>qYP(0di4fUi<Ia`QI}{hP8f)=*ag0LGG>nvs#PPi%6XV
zsNN+46p5fh*foL1&ke7wKjS?Q;|QUpM{~G!@>$zooyilU+jj6k-(w41AX2xQzP`Ax
zs1OM~@K^ut0h)~Px$yd7TCZ!)Z~wXg4m_3$S@ySyk7jQ_<sr|Tghlc!b8tj))uDgU
zVSa7Rxf83HHeuR!-F6m^1pD+%k_>{AnU=-b&-Vz@|Hi!ABQ**@DSgb%C6ZW2o7j#B
zA3__`n$xmck*pv{Xt;Rz@VP@dBxoc1dh?^o#}i^@^DC>NMkOii=uq4mp-AgYEFvOm
z191W=Afe>C?~yU_XUJGUOk`!O8eL1VA%IfnHzmtVWrdvt=rBy?=wyk+>UjJ6{<grh
zcNn?=Aoo36=hdNTB8e5`p8FL#_A^jw6?;^Oi73OcxP0VLw0m35mfX^M6Dgx-SY&c?
za_NczxvXx(aiP37-DmP~UCL&8US)ZovvvM}-DMAw^c#(TeqSW5U)+h2>T+@Sm!P3~
zR&BUCpi)`>eMKd0!gh3<JO<X+?avVLb71GlrFqO1uOkb=A;GONvp2g1l1I@jC<wr`
z>1!7!k;;5Yco;&_%1yeVfQXf=#aWe)V*VT)NcM1%&t=L)dc*+xxolyacKxKbH8XP#
zD6yF;1JZkL)lVg*e=NH4b=rexQ~L)s#qPj><XWd$+w};RH4RJsPJp9xF}dP%f8D#S
zhEmcrd6F4Yoz#X#>oTDsIm+NLI&Nm9vi`C!1AnbsvLZoxi9Mfx?FF{X&^eTgWeG}<
zoH;Y;{nbITXvc*QOs8PO5vJUm&IkZK@!J-A<*sG=RY+<tASr^lc00<<iYh9`e?mm<
zyE;1+NhA0_MXzU+rD}>CeY~vMhw?stoK7u+D)xtCPVc(zEhQv>#i7)ev4jk?Xw^}N
z<VfWd%?|Lv9wl|EJtGOL+RZMzv!tu$TUb;b+j05jKeo_7Lu9VV!{%h|vR)4y9WP~G
z)K++?mu5d1*L&8eC-OJ6=e+rqgSjhs=KRjPyeusT-)<n5&!(`yvmh4=0^~Qqx@FMq
zMj(ZF(t55^YazV=*LDi_TtGuYRKO#gVCf*2w$yd@R(pK_^wVwv((k*SC&q4HTW|mG
z1%L)`ci*2?8p^(1QT*e*9rUOh9EE_r#LMe-l<NgX)POxi78M9O)gU$pV(GQb`)n<3
zRMSi=S0K3#@^b&0>+7!&oCvVa-@9zpVP<*ts_T%uw#{~IVr`vFzGMze*Y22Z5U%i-
zifh><=J|;}6)w63y&xPaVvIUssPQ77O9=@c6xNFbdFu9Ak)>b(d9wZ~E>aK@Wf0SN
zeGP{IO=w1T_Pm~#_B~-cW~=7H5Go9VF7a_VoP^ekyMa%oQ?UgK37Rqgawb1sFL2`<
z@Z@M$96F%LeLi;cB@~_2=8?s&fTYJ?eF(^d0-i;#J9Uj)qMAA?U?8LoCLH;s5;wb+
z8do>h4ka`&+XF;qm(lcFzf2RqG+I7>ejoSX2>A-njt%{%(S?a$aBUKhpIfO@JJ!?M
zg#&|6Z|`k6fexCv`IMEBb%`-c3+QNe-Scz?G^?Un8>_}mJ0gvUpg{<{Ec~T!TujyV
zOqv7uc$N(3l{5I%-PAOZ|M0!Lq|edC*_c`=f6bz~?%Hb}Lrpx+7nnuh01*w5Dw{zY
zvEwsd#?Yq{2>9($|L`X%A=znJv#r1lHB0i^_2m2Bo@>jRro7L@c52N#Nsr7li29iR
z41AjIlCXq_^STio{a(uv&C9ta0nX_`<f){z!NmYLfZ$N_zP<=1CD8RRI49t;>~8ou
zLOcL~P{x;v%1TOMrm$YaVZDe-s<*1R+dBH)b++H)fcJWGR`7bZM|DY)KniF*o(iCN
zNi2(~`<$8zWo(|0-E$;*IJe{D#{)GJ$Z+QZo_kl{-x9l<m47Q$S?wd5Bxpmh>`dhJ
zXqPHSbvg2Otn9I4*TCiH=+^%KYQR7f6%|Dz$1%)e9_xPAe&(6`FbLcovJ4U4*|s93
zkp+T@Z?%}F&R!A5EbYsl-uUXBBqdN=`Vi3Lpz3I!@JB)^HKWj9S~C&<WTqTb_UXS>
z$rG}@jX%nCqi6hOUh)PWR-ozSk-#e<kpcO+yw62Xk#wj&-_Dq1dL3z8E%Gk6O)0a>
z(Mc&qeeY5S=L>87CMTaLwUU-H*$GjMzGd&fIo3aOAO@@QFreZO@@dmn)Sv~|cU*td
z4M3vCwg282|GNRcF(v@e`h|#!zPPV@fdXMTKrG<@YtH%i_dXs(paxH_n`#425#V~n
z<w^|4|3}e_uKTkNR^1(<cb7!3uM*=sLGW#ptRBE2&Ntru`}3c|+T7B0`qbIGKaK2|
zC%pmfOA<nn+j{r!`d_Z2lcmGjlypSgWl$oSeF!^Fu;oll=F5#>aOVMY0SCj9zsNhK
z-_}HD{&+T=`{8n>j-NCP$tAvu+Xc~?>8((Xm!)R*0VmCuX=lb%40FZEXC-f}Y3FEk
z)skt&s2|BlL|edGbiSGFT6H5s%wk;$$e2MxXQ@8@(GU!fQC^XeuzWVye>A$CrOF`+
z=%Cfi3?(UZu;jNL;J)59JI}x?qCklzZy_cSmn`LGpcVW6H5pbd2VQnl>Xf)6@9RTQ
z_!u=J?W}<&n#G4jkWP++%ZZ8(nf7y@fjXWfc#qaoM6k7HZT3t*q8vaVGG6AnR0qDG
zsglBjScRFS2@4APNxi(iNo1%?U(oois4IicNyg`DaNLCQS)sqcY(hRc=e(?DPm+O?
z;YBI>>41CFV(bPU=U+wKk0S@M7b>)t#8_xgnYbFo2Dg9g*1yPk`b43|2mP%mpY!6@
z7&<2C1w>|^kypC)t0F0|hCfcCOmkf8&J_PWX@##Be?D>-hlN*x1ZTI>U95Tz>&sII
zYC!bkq0G|5-@kpa&%fh1jydV3aSICSv!thj-z?iYk1)-M@&hV@bdl@)Zw(qb&=TX;
zol)+CT8f3-%h?v*fa42He8>q)7T;dVnXNTXDS7O<l<_xxw*IYZ8)cY}2T|=K6{p32
z`R?b|sD%c928|rWcOP+*;0a$ZhAFXyLU>}vlX#i1LDTDt3O*xUUC`ALT{xkZ^z;yv
zy#buG;G_t(0yS_&8BULXlSC~%X`cr2q7<N3amDXD@*^|JsKv6B7n?{Y+(kuULO3yc
zd4~4s`xecmy#=p}sM1Yg9NZ>zwJ44BDMGx}T4SYK{ZTw0oaz{!@;_pI4&u+-x*Fe_
zeMS?SIDf=;?>@_XnOxmKyY?G_jNJkZlV-<vfDOJ9OS>L$y8)bJ?|wJDzHdmc@&{s`
z%Ddn5c}Kzz7ya29MC0`$z-I75#Qzt978`;s@~amG+hEw~p^x>Uk5<9x&o}LN0K)8l
z0tmD-64;KU7rb%$%4as&`e_qrSP<~qKa{JE?1d!J+bm6<Zgkw<6&qS`ia*7JxK&wT
z2oNh+F@Gu<f?nYUQ(}dxR_S(lop&#OKLdE<?cShEZy|nSyK0bwGd9MSuIp!GC()pL
zz++_MEP2WRzvlj#^B9t#?o>?<aDC@Wx4v@4;w;;R>#w=Sp0iJ<*xh|LnK8UceN&tm
znWEksF_B!1LtHr6`Xpl?s)$z%fk);YQL@E}%lkY}T+V)R0e}e&98=e2KO!(~A?A&9
z(LuNt5J(~tTR&<NdiZ*RbU0=!`=MJ<V>LjbcAT}3-~IsyR3w!oGXVz3GV9y-TO<db
z6h?X^(b#6K+J2)=RGf#y-Q)U_n)lv6f>^!^O~8OU#A%Hv79^1{3Qj$7y2V0Au_4c#
zl46om3-8BxdN_#@a!tHydB9UGY`T2eq(zROu4#;KVlkj}X6AikQ81g~6V5j8H!hJ-
zMsa_F=Yp<EAin;UUe_~3fq|EYCu@?f^ugvk)C3L6$Tl_AeA1rGa>5;tNmiy;?KZ^<
zgd=lZs#^f6o}Z6pUwV6eCqxx)>J6rsOYiSkdHXa-lt^{1guJELpoh8k4dccP3M!m0
zP9=wrQX5M*<&fdiOvcT>I2}sJ$>`T9K)N%|;Xb_&v_f}o2lJRJ{lxUN@j+N9!0_oR
z4t~wE6g;$b#L%N=q??G#<fV`t2e`#)-K>;c3%S@xR8Bw`4t}$%zAGjR$9RP#pFf(-
zu8q?)$5JU!9&I~ZkU(k)ADohO?kA2v-)yp9imBw?e~*F-uJ=uP+(YywHTNvzn8yzL
zVh|Ke2v680&SMBq@?MIfsOidq6bllCl17nwwuRhn%tx;|zXSME*_W}D$HFUuC!0Gl
zt27-8s@kX*;zC9(ZFd&Af-vC_zpO|k%lP}FX>fe>p!6c(_X_*bo0oB3fM5)!GQ-Xb
zfMBM=?b><j+$wb8^6$?rFew=SJ>>222>{e(8o4XP(E`|@|5i^u5A#NXnGm<J+Ve*(
zZ6wW4e>v6!fvX;1a?^v%bA<ZX+YPW1dQhN!5{7(aKw>Or#;Ib8F-U<$gN)B(Bikkw
zd#zX02uQRim6KDy@tgyBKTN+6_R!0JA3G=?OmI}~H4|N||A{kZBLS(kZ{XGkR0Nim
zmKGZjSI5UHW;Ej_wsKG%`WTk)^Brwye!!c;<GpNn9Hhl;i8sSTgBv*$r&>(KSm0{@
z8X2<m7JM$88>%;UNXO=1DRWrFvMcfr;lRvB5@9f^B<8ZH2_Mp%&Y_*jPufqy`kp@f
zF&5VcvB00Jnpvf(tFK~b4Kos{b2N{IN;s~#);W|^>>y{_CyG%Dp;wLs5B+#}H6tdh
zq(Q+Z8HCF+7~_G(;-;um{<3^4LRx&$wdYg+lLm6P>_!V^{4|9UqIG;%srt>S_UR>8
ztGGNK2`ac|&dq5>=gB6;dB|e>7rUGLfRZ;^rQPR8e>nMz47s<Z84qJy@zrd#Sc|mS
z7ue(oy#Ks^U)2<}$A^!PpN_qh-jby)4}v9%03IfPPfK!0F{)PlSir&UlX5)M+a*IU
zz>`*tpNCP0F0WQOQwg~4O8Wo2e+FCZ)5z}8|6xb1_M-ZAyMr#cCyqDskzqA_JVZ{H
zVtN)kxA_mN@q~9J`Emp7=i0J*sIQmPBpI&<XWqoi_{69q383ktL>LTmf3s81e?E*W
zj+#XzW-)u6!Uy-HM26$ml9<p!*{+|=k7xz+r$%|a9nBdNQ;ZC1-Zg15UdFE`7wBIG
z%qizdznw5D`}zz2ZY&7$V+fVUb9qP(>T@Dw__cW|dRjHH90dN67Ky?=6A8kbl-x+^
zdBcZyK=3@sHqJ~1yWIizcy9f;uG#e4_T;%--Q?s;_lr^MZ+5Y=Bh4Q*CT5Fdb_(@=
zD8bATxOPCt{V^+pv<;L#M9m3{ZqFAxBt(ba&FK(=RfoW9A;OIB7EV2D&w0UzyXGfH
zR$kte5y%pPUHoK=c0VX1;XYsDX<;l;XNc)?aBSzMQdUv1ukK*#64DYfA{^Ses|$XU
zC>d<l#P<62YtZzn$+-vCi6+i2XOaq;%MdCRRd<x31h*%kSvbcXGMB({=-`8iikqI6
z#yl=CKE+t_un2>MT6cD)jz0shge00EWO>PNOhL_sl1z|ebq5IsWOOdKCiC9JeJm-R
z9UCNg%3Sj+<OW@~cQNL=S^?d#Du$E3DaIrdCJREGM+qt`fuZHE(CU(xFqu(S;hs)G
z@ar_N1%^@V7ZzK<!d=PcZEP55Q)mY0)8n7F7*{`At9ET#%raztyVhrOz?bDZxl(R$
zb3MqV#7P-K)QL`x>+dMGP^*s3az%@462ZO7hb=0?L?@4hTuU|Qv&I_rhQxuXw$g2(
z70?GZzOF~x55kf)&A@u|;G*|8oa;)??udd8j&n`Q#tp}l$jZ!Y!+j@~L<7vc%JT#~
zacspp{9(n0v(NSKXumK7)n;_D5QcYd;$8b)3@kfK6&8C>^m!WPriMPgY}(&;;RF5{
z-=DL70Gix+g=#~vPQ0@Z?onfGSxcl;+__jncNX1%If^Etd+Axq)vTFC09-_Cr^>~D
z_}%9SvruqF<%QyWOUMQ+0M>^*UZEsu(bv*4j0cOAFHn;vyJrS&!_DwR3%k1Ytj4e-
z&pjqgJcyk~>u26N#f;X6R5QFJDAJW8owRO4ZEIF1ie%LnJJRFN@7@0*zlEzyL|VWy
zLVYUDUP7(KYZ;NNn@WbTZdGMC8?!=S5S;Q}bqO|80b#d3uG8E5Cj0M+&65q=e9F*#
zOi<Rx>`f5t;#;b=DBOyZpfZA7OULY2e3hud6h#QJ$a5VIMSiQr@2o*4#xE6-fIOj}
zA7e|pUPgNoChbui6REHHvvaaqktKaEC&EBh@}!<`EJ0s?d4syLv%}11;o!-m5G07u
z@2^Dw1I?fPT(Kq!RH-2z13-2~)cYU+H(=TIEJkYTu0o^C^L#Uxzq7eb%%B=+%YmnX
zNH=igaLv)E*}+HE*UU^@K5E(N!wI_uCTana#LaQ^kq?-6HdpfrkA%jR*O!-}!6uy|
zW~Q5yYq4#4N0w_Clf4NH>Epa+0#h)39UaiQ<J6?rKcvcVz^4q#{gzIE=<uy7mci59
zc$GOlONU9EHkMA6@EbuW4cm|xjQS$B&Md|A`*6((T?*celB~-H9@q|mu~<F`#Rm-e
znHJBNNkZu!XRdDDH4zt7L*SJ0KTOPOE|N0wG#OLRHvgRN$>_q0T@^!ul1rH}9a7^y
zCWmgLiZC3ckG((C^K)x|%~=-el9T~$w4@I9G^|~6YyyqDh=m0F?kLTY0X_nS4+ND3
ztD$-WzFIl+oZ9oHlU3NbLM+jM_lV;@dtE}YdSGC4{sKT-@m4-_vf^xJDr^FJr$@)e
z6y6fCx%yb0X8f`RYc)GtWclNOGBMPqus=)t+uib!UqK1zaodX&AAxM_DY_E%1%rG`
zHZ_|JBuNe)+L+_yaURm>Oe{^tPq+-Es8f8iPF_$*9WGO@405YI;QHw@JC=ZSWf^9j
z+?N{FtwPBnZnIR%_Mqj4^65rR^MC-uS`o81-^4;kWec7+JlOv01)inPA&)*BVRGBQ
z%6vhV8(K3wt%8KxD`i<kF4bkg@}l;|&yySViiPvrrbT=$x4N6W>euI}L3RFH@q54c
zb3f@uFG@Gwj-Hu6iR&4D4^2q0MLFSk0h>5*(`FD~wBZ`syY#*DEO`Tc-cR7d+iUkh
zB`LL1W2u0i@-qy72q#f#E;#0@2G^kG&nNA=7}M*K@;9qI+bs#;r}{x)+3xk~r#;P&
zKgE?K&9!uiVxBgcLGWF;ADeW(fBTqXruA22mG={FwwfRX4?LG4Re*I{m!d)@vti{@
zhiipWpL)EBE5({}7$@!&5*+{%!a9g#E#qI?{<jL85=?VE75t>RAzW|zGx~7(;7LR3
zzYFYtfQ0_Ao#r6C$NAw7ux0}1vp0Y6zPsinV%>`C+Cr^ag#TL}7D?+Gxr*l9a%z|)
z<Pa7%q$h|Tj03f(mGl}FnHd?a^7sPDe-VE5=W&+0;5gQ*G@RY&<)6;d%jI(wkMpg{
zH>5LQ!iFU6F8_*7%FJydT}>aauL5eM!ahoIiYOGFm;)J^%>)NC4_ihdu31`4G@43Z
zpYjvxdkAV&BKzgOc*U&EdTYR@xB~+FExBNPOfZ0o;xv*^IAQjY%d7xpj!FuGK{k2y
z*eeJreqtt}`SfA2`PL6<^ynJIpIXj)Gi9)!Ew}_zvc(G38s|J6*NkhuUN)~jUiqZ6
zD?iElA@HH*1-qinOKW0BSi@ZL`Z?a-aox*BLQh~qQLg}@Swx*PwpqG-iOskCEg@ta
zn77@DBM*PDy3x(i4S#=CFLVmOI7p>UnX&y0=)ujlTFGBJlOl0Q**AMHe{BOj`N{H`
zj=T@pc~C&3Lx#s!TT~hGM3~SDN!IY8`M}?T#E&ls0IPA&1)CWquFL@Ehwf=>|8s@i
zf<qP>O&DgcsR`yMRAwRqD#Z$S2_sUoHb#~Bjg5khjDFLf)GQi;xjRvdMG~!?nElpQ
zv7nuSg;zi~As6MiXgAo@7P2&;j$NuX*ooRgz;fiR8b7U*?@&rCR+ZcEr~Kr*_jh(7
z?~Cp0<2XVoKv&{X%^OVjU^J2CFYPNg*P&*z!U~3D$uK$<LLZGieV>3%TsS<}{!CkP
z4i(h-t~~wqpJO0T?z30U^MZFIa92|#{3O0wuyh)%RADiRJzZ^5U}!2hzu3!5Z;Y~4
zU=y<&b5P7UlYO!WUI5aep+~58_s2d<WKamRJkoTF&5BheJz)%}5JdIzT#Y|$yXum|
zkN2-CHgW#6LKa5IIaVRB#-264nsoHxJ=e5rE<-QC61l4?Y*VsQnU8qO^HU_)*b*3u
z+(||*qP@k=2^{=BF){v;dT%^ubaa#g`tYYESHQKZyjWp~B0M%CHm2*I_3Z3Yh~H%!
z0s-|e`032NLu9}VnH1)=?mA2a3Wxqfn6*?}X9Zc4w%>00vFiRs)WrSfX`KAx-gF&{
zkZY!|JhL5}qbJSw6es^?iEn{oF@AT@O*%CO!yUybU|946Dh4MfCm4jIrEEa4gy))L
zSYO+$&4MoR%Ws{Zd;+>N##4!ih@1yJ9#&SE&16O}e|<-D3XBddCoZ6*u#j$m#?mPa
z(Hs(f18KHaZnWN-5s<XXDrLjoNTrieP>)4d>SLa^$>X4VPYK}&pAo12y!?@kLB3=a
zB${5On*9+1J$EsCt-L+5^3tg!iL<LVQyVl{B3@H5eR?gqd}rkbu5&3k8z!huEN(*9
z%i581o~b9R^7UWbUAs-H^XyMIzzWLiboFgA_3InouC-J2aC?C4yJcj9K#*<3P~Het
zYir=plnlnE(m_;d7MN$lcZ<0uc}g8K1wVvD8y;7+#8n|%jM?#C)AR7V?L)cZ6-UqT
zUUe`_QJ}zVPsk>3RmB~>ii{9k9B}0-QEwBwc>=iUSu!L}sE{aANJ0?~1he2N10{Ao
z1g9;bmB4il_i*vlkdl?7IM{m(d0!TvO3#^`__c(c1le%WtZYJ#@^oZOUmvE8a-Ono
zP0W*|s?IYdnzC#04kDTk2Pk%La(tOq&y(@-62va|_B4~`v3V?I=5^Zl`A@3$1mX1V
z<5pIkwS&j48F*!%oFPaQpGYw)sMP2E6;+fNN_P1c_12mLMnm$~PQh(+cE~hhHy9&)
z=+sOzi2kJ`DnYQlc_W|<8vJP;<L^0bUUOJG^Sm}C!rZo~@3c@(EGVe!t<;T7nS(0e
zIcDQMsY$TUdj4C%Hl;&K$H2hA$cX%NuH1Db6`}rHOPvoy?_FMvj~%$_QhAgZI4yft
zYU<ekbJ2E+6|Fgmo0CuZMke{(FDRj7^@vfDZN0p}@V(FM(<SM_FmU;1Nf(|5BllX}
zZThp=I$*g4tPwHHDCw7RQC;^)y$y&M@~eqBe}syG*u{d@u77~D<5?GH*u0;Vx&?03
zh^_0NF`%w|EsEdtIm%sXuXdP-E&Q5vpsVN=5b$R=OfJbEY?V3}l^oow9b%Rp-DBLU
z8Ga9C0JKGI-gju@ld7pU=o@2oA)9+!6aOvNbVLJDVBlXj&OG<-#zq2Eu`ZDb-@D~z
zL&j7m)vE`0vo#(FE=fDZg){^@0!yOQ94TA9F;Iu?lW$2cwjvid!Wv}#oyGxd;
zTs>{Jd|Q&T=PDqNpKcIw^r?!g1if)qGP+=YEDl2xv}gc{;%=@yaEpd1iR`_!knty6
zOi>PU{Xb51TMfxjoOL$HfT^Q61}S7ue3TSR-nESFt1IpMPf0mMgySas!4oNpedh7^
zu^&tw5Ct69qV*leDeSoi=1S#)zBxr~p$0a(v@lzf3E3FDY$%c_Eem`wDJWwO({0C2
z(ua25tPU!QuN5oGG)X-vzGF9*(USAogpCZV(ylXJ`RWNJcX-Otv6G&%Mh7bq@PsMR
zAB?>DYLJ%cqnrCU_np*G37^FvTn9@22tS1T5Pu+a-zl*SIgjq<-1X_z1GW+9#~4~P
z_u-@yMIMO3w2>^YI1JZunfzoD&O>s09K1$Y{`mX71F$iGUWWj?qJ+m)nA40cBGJB<
zFoP=w<j^XdR8LE4{v#nChgYvemtSSL8a2O4LjOhYh&3oFqX=_OT3iGMxYEX#NB(YZ
z910rId)|(YPkG35!{cNhsS()Q7t~BYo0#E9M4Hl#@)ssK(vFP$npM97hGj51=(QPu
z8lB`t{;W)wR8jCThC6KR-wPbAy(jiLOk$NcgCx|G8Q9F$PafdRy6`zP>51XsB!XpF
zax!2M@V|JP8O2Q=?{@&CJbrTy*Rk)ja*{dM{vxcQ6os=k1h5kegS`5_ob=leHjBY#
zok$%@G;2!XZ+2TH<>O^$d9~SEQeLY;7!H0wwPLNYzU0yWuLZJn*5+3?tF<-mrSz|S
z<Lj&?022~M^nz~Q)OZDeiuQ5zMldQp0-Wkcp*ZP{ulxs@j4tzTJC8mC^$;;OA)<?u
zK$tjmbo=pj7NOzS`hKZA>p1VWUR?wYwt3#WQO@AO(nYz8x!sut^`;_!j#d7xgN{<*
z^+SPxEI#5mS!u9t`DxP9mg9&Ln4Jy<XjeJBCmTYwxL*?;q{M>5izYbdiVnDbpvPjj
zZ=8X5I*>6Brhoa1{1cbDV<~vUNNLYRNL;^im%RYNpg?^orI5T^oWMSW6U0Y?P7>p!
z7XSYI9vIUGHOb;4LEny>8;ES3+$?t8%=&_8<iL}Hmq^>94nv8Fz!1xth8$#%h8u>X
zS!Bn72I;Rup@=DAr^3UPu+&Y|UU0%{WV{hbb@KbRPAq{c*{hSoN-$J3^*z{Gmz}6V
z&SP;@N(~TVoa*U<k9@#>!aTORR$KYLu<9N&MeNBaJS`Y6A{lve_~ZE^%_@n`$Q6`8
zhnrU~nXN8!+whsI20|B?|DwoXxkyc&9sF9QBF?G-F}brD2I_VQKKT-QOt+`8arU6p
zz2Q)bM1f2M;p4<eOrDaUZ)1vjNzdgD8JYhB`IvOY(h*)GwbD4<05OZ~z1g;<BqB0H
z>qE}e4p?jdkpqECxQf`87~)S%8MPoe>!t|@P;Bz?n0!h4?&F(KvO__^L3lBikq%N`
znx}lq7R-5EWeXo)`jMlt&_LK6wH|S~;yJwtt@;pGTGdK}7ncCz(OL`_0btIlT*0+d
z9!Ijgfr7|KI5*)xmGy_Oe|so#Kf6GBV?l5fTJ`MZv;&!u1ZcfmN=fGC=1x5*W@bGq
zn!>My<VnR+uu~1td>Th%DRJ{>CK#FS7KhjE3}t^+BQC`@y0!JUO)fnK8z8?f^3X2-
zRb)6M|BFDv^bt0BC*$a?S>3N3bRH_ua(B&aZVJnDB1fVpai-d-o0eC6`QAbo58KC5
z>3f_{;uHI<EcIoByN^8&zxH;g1kcwAKfGJ%<L{Z}Jx8?ItpiQ{A5iI<K!yS=+`>$M
zEt|*x`5OQCD?*C{{T}bSEe?RmqzAlBLD3x%qP9_4QSm#N`RoIJeqX6F`h$2#(w-v9
zYkYt001o^P_CH`XG3R;rxA&3A1;D}2BQg%4vG?6W2WZ&sy4~ym>r?PQ0EZ0TEC96|
zcY<f5BS@xuGL7^C+}}Z+;)ghLVSx2UJfv37NY)(O@j?GiZmMgP3gx!WO(BJ81(Ui;
zR%m2weG<I2Z0(p2^Tqk?y?#w}OPHdvvNG$9mU3h7d!;@kV)n2hHW>*@BqRZg2_8ww
zyNm<%@v)T*ri;f)9~<U=c232N!>32|-l-_D^DAZj-wU85r8aQa+A=qGSuYxaq>(~5
zq{3jwoW^SF^IM&2yit**^%cw<ytY6=?yiAtt^kWpbH$rcm_5Oot5BQUA`TJ<&1CH5
z13M)Xrr%g|h#4*tU5bIAtAkGUroS2hr3p_1g-}fWsF?c#=bD^PvR7`fs*~B%R$N*>
z!2*>ZcB>nhI?Y?|*k^><WWW*uUa}nAbn^2*R?7PRYxx7YvPn_<v;|<?_1m!WPh<aT
z>OZI=94SVdxjyuM$TbI*f}^lE_5G?To%r-{VMyYxvaEnig*mcJ3F%L)wE=v)5GZC6
zRdW_0;rGkZVGa)DJpP(&T8A}dWx7;0H1z$xFcg}|(b-;94wD=}mkcNx{gSYq^lO@X
zrybM*l+Q!2%UoQ8tCEf}lI1@QnHAC!qK9<}mX&fyWU))PMHzT=r2o9$Hm=IndDF$g
z6=38!=lZ2z_r7z&P5!~*9{0uB>hkhMzzZlK(3!^THj7u9=y87mnB!ISie63mHa7!&
z&!vnV7w_t5%$#fKBDKmdS(BL{O2?FX+8i;Gj4Ci}UKYs1K5x|}AE1O|!{lNuZKhrb
z&LA*Vk_~sCGlBNvyrT`OxI-cw^NF4Qh~deG5)X4^UrQ3|jD&U1*K+7n*d-5%FYXeV
z+ivg7br(THkWA5RzQL5!Pvj#r#NkBROY4OTZ8bL^Q?1^^EJqbPn9Ey%s_eS~sStQ<
zJFv{MNk4<FTKB&{=l>8W^nUEu51{c9$Swa45jl8-B?Qr5aKO}2bB`zp0iLkHi_ee#
zA&PTm3M9Z42#iL+bmF%L$_m1HJ9l(>Jb-?I9nlXC91TR<yytfq<Y8j^0Tbdf)dTz}
ze-IWi(Aj>M{8DAnuBoN-;8o9!eos?%hYx<MGRoio8ipT+oB_6bPXTaT4*S4f%nwji
zz&>SV4N(yMUj+jwdG~wb>7MPF7sD4v>=q{unmstEb-tGnD3tV4*v3JvY$#RvVy9!Z
zK(-ec&AJZ$>@<fmKh|Yv@~khaLV`_2K_ws-WQsI6#O|2w7|f2kX~Rt9Oek>C?4l6?
z&K_B7Oa#E#8#t>nBBtb>-NEgLUh*wS-Lme$hwh}c3=}CEMj;R?tM{a->P$69ryY*X
z>ik}3Imd6^gQjt!+~-JegCLK;(|8V3+bCKOB`ctFC=FyQBW~-`&;AWK4)!knl#SL|
zshHxV5EttA3TEg2Vpr~-CP$-#Vl<sCHd1N*Yf36m9i`YdI&uic;6CjG1%`crxAL{Z
zW(5paZzveHB`j}v*`R;7z|X$67V{>Ub$hI3u9SIDDc^u4z7(rj;PpfUE|ucij;@9<
z=|{BYKE<S9sOYi)x!|?LEZc;dMZ`n{%;$0yuHrjUt<MgD^~QOaek0y%uQ};k5L>wm
z{QTBDm6Q}pX&r(J2`lU`gHfTRT_LOa-#v!1IYWuFPSUW5u_Bn5nAGLdP@&R6Hu~4X
zn<HcB1d)ju>)#EBVH)zOg_e)-ApP&TA~RRZ=oUiJt`t6|>y*?rBTbQB@O-27@~HA@
z4e`RmMR{8M%8KeRSYG~jg=s_xp)3xz#v04fywkO;PPNg8;zArV@Tv9m)UsEST)EQ)
zj!(TbJ-<TpNvWu}Bt(4lV?G0+8EqXvE}WRi5eX1DAwrv^hCnnP87}31`0(y?2WKZ7
zIHv(i$gSNIo;P7Ai^s5M6TSM<<fz>1`{>JY#ARB`5es+x;A*fXHsuOPb)J;OlaZ9v
z2jcbU4N+9-==gTR*1<^6WX?J_y^FEE7)k&>)P!wh)n6|StTjOxHLc}p<<N2jFpLqs
z*9wFpKY(}*{F2X>dd|D=^Jq0is8875Jw`Yjw?JjQad)RGz5gyg0z59_I_lP56|>2s
zKmJz43~{L4B+8KcfJe*ovhNYOH$}syLWw#Ks`?mW7z2gE(_nIIHc@F=Im{fTIl;w&
z5YW0(giVmDqM~Dlq~OC$dg12#2{S{%V%8p@nHym`<25civ%3&FZ(eg^BGlH>)=pI~
z_<&<e&Cd`NXVttzhD4cui_yt)QDH)YqAV$2q0iH^%|H4;1l(YH&j(y{nle}jV}SU@
zs$M&w*$1=dA|V~BB6}^6JjCxVa;;0<+$r8CB?9{YhR+&Pwqr5(ggUN1{6;HEghtiR
zrwEHV|8-A^Ts`ICiDy0t$Ks^Tn_4v)oKg5SlebGpTNrJ}J;w>9_<W@+SCo-rkHUsa
z;8$gYnMGaAe}uZN0csgP2)wleNxkTR&PW>{AKhAE^_E>?!DTK+Ye$2)Cq?eBbzF0D
z1-*=hgFuVY(~g~S<;fo`{}zV*Rrysr7?gX#I@75o!0}btpspbOb+PHCmebW6i=Y{L
zOycSpj$U!K$?P5Y694GRe&dr%eiO$krAT_px+KE+p<Ga2o=Ik^OSBc__Hj^vicU^>
zjGj&uHOf;(v7#^5Wh3wd<K;|v8ST-%&W}0^c-#Da?er`U3=?FH3VbY*PBgvnEZ?Y+
zPS8IU=a30Pi}bnb;sR$#qz(8n$}<ds16e^0Wj>pz!({{}#xBth$D52a;e7g8Tx0hb
zE^Dt89vO+kunVF1TCt9VY$1w112d;a5~`g*ZdIjgxC2$B%?2zjF@xZYL7fL*FXN;g
zKwz{g!R-^gYCnFF!1@*~>kvV(Q|?YbvulyW3^wUP3RO|`m5!NZU)JXpgkW<{dVz1A
zf%U8=;fBErJ$p$H`n<xY5S{)^)ZC<%<-|NuHb?>-GGDv8=yo#m%|^Rp!!ts~YD)?7
zP!V$K=?7kp*+wvP#WWX>5KnKgYx0S5%`F`V&XDJjU!xx$Mki@cJ@2nS{1bxs13>t{
znFx`EV-F(`)O#V|@iqCw!#?;k9~=g2z%rM!54M*>$_5e5G)p!`Pf<rNW(!ZCM5f@N
z5rZ2D3dD9yeg;t=fU<tlc{>fa)CGO7U>gC*G+?5^?5}F&jiw?d$v${~$X_**M-J-s
zPK=Sm&%O}QcmK%9$%)<b{&e1Z6=jZ<XxS(pOZ*7Fe)<TYBUVm5`8nPzx+YR#NNxiJ
zEoz9Ot5^<oz7#5Cg~&NDOAZ#UcY>$#{AbEL(@iX`T<Ikn+qN2##RCk8jS2fW3I~>6
zkmf>H%29-BW1I6!>g;3OTIABO;)<okDcjuAV{jj$%?2z=xg>&&oTiYNbk6+eHSdHz
zf_GBoF=`+`usfO;EfOz$n`tX15u)tqr$gG7_6X=9lbk3<im(;16FKA<gma0S@V=?3
zX&SPy&=_NQHEu-SNA;fhz+SZa>AajEZnzx@O!4^-A!l$lXYvfdvh(tczWjE$cA<7A
za-+_btl&V}|E<G$BlvT2lA$CmRe-u*N~gLP2Z`$w`C=AdF5g>pX{hV-!4G;TO-<Ym
zBF$f8QOq?D!X;dT)5N7mpcy7_O#fCH*_sA$Gv1GrGS&EPYK%Sy_){M$3Dn3Dm|e-U
z6=?5QjDz1SO9)6$ubGRRC^8p>zLE7;r)nVt5{?Q<V$=Vp7k{#{vS376sQ8_#VK?$C
zIN|MXR5#?UP9borenF0OlC%V<wletMpgh9r#MIDiT2v$OfpEi&{#J-;vi+4kQEc;c
zZ)2xRo->IBtNo)2OlMs}b7m?1M4a+_9kkpOj~=E{oDuc{4rB<~XGS&m{fN~HmV;p*
z7GiM+$&UMwpn4TjPM{Mbx(8el<{GQ9=b0>r)x>(sR@shDxHax@n<hPoi>v+u0$DGQ
zXgoo*PC!&^m)@P<2A-D%ek(&zgWMH7J-{rIYgV^hEavdQjHM!riW(|yEkEWF$Pa^v
z?yk2&)Oxl)<mPszen`>%vtR0v&3+j5GS4ROG~GL7r(_2WMK8Irs_#aMyg0>`3_o#?
zPhV5Cb&@+#6NeyXu=xax#Dl!gL5J+Og$076^=3!EC8xK)E!1l=0<{NmDUs`$Ggox9
zz8@rxaA)Ck^bz{qZapCXV&2>EY4^<PUuZn2t<Xc|SGh4~{-j8ZHCxb{|44+X<ZFQ(
z&2-`-TETGV+~@EE&7Z!)ju(n2vQO$%=?&CTgvjH;tE-RS_+xdG@;q0J&0|VNAt#>r
zUkwdQroABUre48?QKnLCMZU<$wV%)R3F*z$&i9c#gz#dEHrniXzR}SFb_cJRlJFpW
zy^12nwMzi?iZ<DV<|99_fu}-@M*&BR!li5o@)#NStW&SndPzr@*FbwSFc8Xa_1vV$
z2bCfoSr!7hs0g`kLSVZNr5$Dsk9&9W9T!OWal<`x@eiz=JGu+E09G~SV{|L?oY8lx
znL+_2j_46|rxFX!Av*^LPD6Np23Ltbc=EvFfbH$DjinAM9qJ=*yRY+l@!p2lWWlbj
zZ8Yt+P$b|s`a#;_wG@o(<V^ru{A$`%sEtD@K25<fhblBKKeGN}$=5(z&Z@<E$YhTX
zE4WvR+x{Lhlh*d0OGOPk(k(yH;metD5)IfIf>L3l+8%#t2XjnZN*I>5mNh{NvS?Om
z_DOAR?X9mca8o8l!puSb02Jo5tLV{5iwYYIt}xiW*Hxpe*6HZAF);|DD9nnS<9f#U
ziQ>q`a9{4{(P4&xM{(F@TPn2-dWg7-)@Uf{ak*r{mwHlQKm<xV$Kg_o-<m_iq(a_F
zqdv!MUko)RupG4@ZU46bGQZcX^?e3$NE>i&n0yLgw3vsFa#IuE^Yc2FaG;qbps6Ro
z`mYo1^j%|2`=Ut0*J1eKJCiLgHKap2T}DfK*xL7Kfya_U3n5W=;!S#8i;A5T(8Z;t
zeztW3v$daK?uk*uJf{@}%9d88JOcym5pcy%zUCTtL5I{=ZB7^jm_IA#k}T&&iM$R|
z>!M_Q#u_)Z;xwjHqDoJI!Rzy{p$uZECD8p9UHG&_ZVV2yL8lR2rL(dixFD0X@WwcU
zDfH=mb*He%sAT3dCwk_R(e%fiG(xasj+UoEJsK(-9!Lh9m9eIy7Y}z=c8?PXrw$$d
z>R}_g*<@0_y%jADrgWXbXhp(gd;~Hmjx8IWhSpyNc5+ny`(^!XJDVunajjw&_7fv*
zqHmBGO9M+ocqZ<#LdhUv|9%io_wr@TpqZB$Rb}`%atN4(GVj3R96&`tGyPTlb9p&a
zq96yZwhCbYLIS?E4?o>t;WI+&p0oxtL=;6~7<PPCl8^a<Mww#PAec~`Xz{^GYA)`B
z_L}%Ra%JyQTVoeeTrrsmbk!6J13HC=xhE7egb)y6u&;h(KSjLGUp=+L4Am{LeMR_2
zyFdXhDZTn^P$A#|O6jzk@bzAVEB?(X0p$0Xu8J_Br`1Hb{ZNH;(Okka-_;kAG1k80
z8!G`o;{jKHUh6F*9loPjcI46^<Js_Zn|`!R>FOIGTl;U7HA&Pwjy_gJiP14#V0>_{
ze0zV|V*H^H2?A<WMgB+ASw}_n{a^nMB_JRr4bt7+Ee*oZ-Q67mf`oK;N{bTGT~gBB
zrBX_WfCz}nbLR7VzVnA`xfY9<x%ZxP_IvNw#zQ&%H-|0wxI};MSfJ&5j&!)d!IHGj
z-7j`kv|)!~-*FZsnyz-1vQb~PtQ9dmyFpoxW!YWs+F7^CGRt}qOtP3a89^BFtzelK
zoOyN3|EcMA&4GXYr-HrmRej);v*5~D+++77*)ze7_Bt^kp;zt8l0xtd2bco7iU@Z^
z0u8q`nrwJJwP%K4EC~!x>)82ggAW_GhzKwoi}6!cXHCQ-xj=AgYl&rQ$|{dqw>z`?
zw$9FVNue*yD56kGc?rMcyQT5@+eW8Ja&P_(aXQ(U32!+tzg=<)I{beAO&jI4{|RT}
zD|So<Yiq7Eea0{A@-pMt8+gyJiM>03+b-W+KX<qVDdgL9ml|;gRv2EmA}kFJLR#!k
z^(3~9W3_c-SAiR}YBCfF)_k_3@1vbxLYaOTWZF-{M}f1zk3rM$M}S-9oI=qjw{=cl
z>lrP*UT0@#Q0VrvNZ=jqsLLOdFv_}OM+NQBTfj#)F|p*<mS5@k%XgxYsHzgwZkW9>
z%2egVnrM`jQ)&OgI}nVdmOBb6U3ZtvvDRXKv$KISJis2{pn*)e5b8Xrm-8j2vX}F;
zOEY`}qn5G16ecBsxWk~7*AF|Kk{B93t5gGQ=dRYGsX#cpy0lcXGUjrMe(-K|>4<Ls
z=0*8cbLfSf?E{6?*20N>MD54OIUo??8^qvVG}_cT&k*U%g!7|~j<PVQF8^TzHH_|g
zKMeF-+)HTsuNEWTx7lcT7s@NVPP)WBTynsFU@wBbCDL<#BMK_sby%@q$?aUH(~n`2
z7V&-l@>FrTsSpa%ER39HC}yNbV)vNl8{G##&Ex2WtB70VsA~oeAC@wCYmtV3*Vu0I
zV4?qZV938pFggVvbEPj?BKg=_$6kP;FW;#4+E4s9b(PPJYaB}6h120iR5_-)l$%Mq
zEx$HT$iv}_y2N43tV*w1)7aDP_!mHY29lCo_AMV=TfvzM$PwTf{vG($5SailbwY;_
zY<tjx4SfQ9%{3EyZW5?}Vu%44efq(I<+_p7BuSPSymKvvAt$q`FqT5F%5#8k$3t`&
zL;8gb*7W6;IB2vUdt?<zuOf$F<W{;+H1iDHQD*5{c%$c_J;8r?=JGA7NJYlkoqSz_
z5@SQLv(U`dCVrdib3jZ42OkD@q<bq%a0XVv5c5yekc%N%6@=kRb9X_|zSo-XmI<dm
zNPA!Xepni}C!BQLnff_oUvGFpO$E&+e14O3wTWQ~MoXOtVJYEV20ks*{d9EySnNyV
z@-aHSW|fh-2~#kLDG4X#s=yy-EvC?<B;k8lrN%26IKZ2cCdH1ErM};RfkyWT`GZns
zxJqDAcIF4KY0#QbHrM{;o7aD>@1QeUi_oz)3Kv|v@Lh!l0~59rm#Q8#tn+VvvJc7e
zYbmr1rOyJh{+S_J145arE~%fN%3}{mcdxPdo!?TqBKhHjTo?>Oo~8b+34^j(pjSLu
zGl$n_J1;02#7KrB%AhdmhAoJCRK7%;?ZdtO*`_u7#M|F}%iDL|-|x2H8lN3~KN3=#
zQG1k(5;b6sg&95YLjjlYB`qG-S1CqW`n(?xVzo-C$pk#5H6LV3apNiQVn$-9kc@mU
z$}Rf#O|j?f&UgFpq-W(UdBIeBL1IBoU$@Wh=u-b05K%=Bw?nSCkFQL%-UOx+K+0BI
zi%u0HIpSGSLQ%M2b20dNc7>1qJgon*HK%lph%_41D>8Pu>wmW9P3PUx_)HG=dpu=G
z<<kK(iNix1otJoN8sR*P+KXydO`6O>iRt!bG2T?sB@``<@$83AS+<nG`S7%rAU`)Z
za9pf&Gh5{1BELW{?FMzTEWxD5?63gX<|uGvhSLYqMY8tVQNl=Sa`stqQAnPfAyQm`
zCb{#H2?y`d6G?FrEX?g&r%tpm79%V|uR&aKCaafMPeqpS_`<qB7FUFjI8r$uNINJK
zhhO~3<s?Vvt|m9r;V*paRB-a0>_^v0<Ais^Q{;cX_0PA!Am|>Uu?y4(sy7(?S*(&o
zg+N3`*yB_GhzPKbA%%fPV#<y=Q@=nOuzi&+0m*SdziQD3A;Lw~RAF2sh#+A!uu|<?
z!bx}P(%?=KQMDz>-SwHjX`3GTuqPH&>6kUKZ`BY`i)P%l^}VJYhb=!R9o|_-e#`P;
zATu3Di%nMUPMuQNjU*bVPhdrR@Q7;j@kCE7^_T6Q=M(#0ZJHp)`0Z!H@;dKSt`P?T
zQ`h57IN+DqmpOEJvhuFA<B`6B&1x%{=P_cp=(=5^s**=FtCq*|Ls*6_t|#OomkZtg
z6<0+i;jUEAx7=1PyVIUCPG>5Z2}i4nphFNWdK^E4l@ULc?ahFVm!uLo9#`dbyGs$z
zha_cD`!H+LA&zIH>b{czA`umJxG_#1-O#jrhQli;I3kj4@Q<CUpj;tboH}myyG75;
zTXFp<nYWy4k!|d^!M$REF0+B<le>*EwL|BI)s7r$Rm5s3JURUwi9X>os#RtLp0c#Z
z)o4(M$#+BoPQyMVgq;m_oK!)OO+kw=`t$7pOLUkttMS9iv%LJmE$)xtZJ#q|*P5`m
zdxMKkh&ja`@ugH#@TZUCJ@#~~2gL)%<U~;^mJ1Z<0+&7yISd=`0Rx7NL4swHI5aDd
zHQ;MXbT#3)G4PS*33`t(ap`418sf8N9gk|G1lRnQTie6YB9b3GTO2P(W$tYJJ=u9w
zI{#gO{SvaY9t2;k8`DV|!#&Y0z+N48X(Yr_N&oDzdUoBGrBqC>%$Ys0A27u%pQ=Q_
z{$Bn^yw%0ytv+dO2_7@w)f}GnKO+X-5VsBrg!Xo#z)b`l4+@7oyiGSa5f>zyG5@Fk
zXq5=V{O3n64C+@XM?Fo6A<172$*z)!`6o)4e)pHh8+{YtTKr7?f6PPhJA*)S06~5O
zQ!YL;M;6JDP2T0{OMnjqtI<|t{>8hdIhx@774V&499a*-sL^S;K0Bm+;8$+3bKtRo
zB3|mr)Y#Od>l*2*P)Y>(Fi}}$bG(c(EbLx3QelaV*%e-(Zg#!Xd%tjT`v-`0dL+*E
z#ST?C$h6W(ufHT{4n&r{3JMmnAj+SVfly!vR_~FV$GNc<-=N<-mMqnLsGQ?nfKA@J
z@Xg}5;cwDL(oLtKVR`n<oBfw3iWZ(}coY7^%~s1c-8xxYjt<X*kAgoU>8&Og@+@H?
z<7fg<A7<k4uQEvra{%q9Jf#@q1|nsD{qq_Mc^t^5XLg_(b5Xmp4WHO$qjxx8+otJU
z$ykELnRfFq;MuWP^3N3AOWg9IW)H%qvFiPtnwYP_ItK;rMaZN7y<(Zw7t}s*le0z)
zyf$aIdrXjJNr)K*aF!i&c6pW68K~|J(Y!O63L{G1nt8MFiGmvZ!BXjV-QcTG7x+zW
zAt*A0o&zQ`jHaairZE_0q^XsT#nYS=x7lfN?ID}3K>G~=jl=Oe{F&*eV8!KlV-)%B
z%W1LVprdLu>!Rh`0Y?b3yo~~eksvV2KABKYL&-~yePdsG!Tq9$BSnQnfc+b+ieKTu
zs*lk7nL;sr&g{0=w)vSN1_de_7<d(y0hTlKa1$3}AdXJPqb1a3SfmW0lOlPw2Up5T
zL$W9e8?MIf6P#V$25Y6T`?vZ%M~LQ0CV&YB7VP7{h&ebIm7KX0yv_&$AzSDZVi@AT
zr{KS~Z-ghi30x;xwg6f?tC~@ql4%r}Dln!HIo7k3-7c$U_m5`}{Y^$1oYo7CHmhNo
zj31e$KLsTLHPEV8dcm2VV|g5N*ZtS&8BzidqD;V!@Tm$5?YLSVc$yw_7*kgOv-OdW
zs3A^_ts%h20EY)TRRiD@%^ZqZTh|>|I*#K~j#iT@)EgwM-?y!h2{e!#IR$@viSkv`
zDSKkpy>9qcWMYHDg{i-#97-P*)ENTE<g}saMOl#n<l+QrLVXVzP$@>j6kA^5F{1OX
zR8$aET2Bj`y+)B;e=g)zg*+~7$n!+lWq?XzO>`|njERZKU95_VHYqVtIdImY*b6ht
zz#EBQGb=#z@wt^r*qC)L>r^e4wF{7<x--}k)8!m90>rIfO>{11`xzsnzoWIvug;6X
zswCd!Ri~OT;xqB1l;3nIK$Zs1s?M8&47hU?`qLun57GQ&a;)dgaw(OLg46CKF@QPp
zTv9n`YM~+bvaAS$j#dXHj|5#6Jscfx9ZJD}mj0#`Z6T=T!-JWeNOa#5hP+yAujAt@
z;zU@nCy>Gcu0W6sd*&U17H75?uVn8nDXBGt@)7dLJ!8n#7~99_$O>#D^dMJ6!e67R
zt5tU^DRB{$ag>#3CyMVqW73QVGAs-d(Zv?AJbWBTXPbG$xBChbw<Rgnnd|NSAe-Dz
zD;+M%;I{RF!^>~YHaq|0a#i%sztf#i5G}m`J;aJCfglivXcf;lHw6y*m9A}62;@M?
zTc0O)nLOjIa30BV%xkkS^C9}VdJ#&7mrNl7=gihe2=;@1(&eNV=N;f#28<#-F2&by
zWW1*7K@Vja%y7pF5KF_0wWUMCVA)^mGsw8?8UW_vI@k+REkaxM8?3>P`(8rS>&l4Y
zs3|)>iOcdBI&BpT5{$B`r`P=@bc#tPQo|=;atV4k_|-2X7Raa8^j?+$uv(JX_tp20
zu?K-!eA`6nsl0MpfO;?0VdZ4M9V-KoGnIq&Yj*FWB=FwW)g9ciNh#Br3CX=;LHdz7
zr&6eN3DoJ-le|QO2-8W)TI=GBC+|Oq<|lq6(Z^Q3(^!AcEJ!UwEw2=_uggVri(80v
z%c!k2n?6Dhd6Z)&i$ZnBW-ASpD1g9l9`Zu&hQnE}ZEC`9J&UJ=UeFOugb}!qM>^Um
zoB_1YmBvnwnef-yPM-^jTUz^+HUv>5%u}i0i#d5khplS3Lg2at2Vk))O(W-&h6AE6
znWPi+b1z@}M_>m)z}X4hAjVdcr#_-u8=7*+<@A>5gt9h8@i<8l+6?n7B&aIy79-d?
zrF0xuk@f?N;758&Gix&J6YHBZH@sj1?X39ny-2?bW@%|2ftT;@5+Rm?lS-|?dqE1E
zbo!3vzhS$=F<+e{AiNSyW{28z`ngtYh(|Qq3oyYUMoxZ>gB;UOEJ#sC?c<Tb5}p!c
zUXG%)DfvxbH)?P+GRpwH8R^E<Z*5;>Ez2Dt@yb2<JqxU9@8ADGRMu~F+;Fbse-_u?
zH~OC!z+=^|ZIFBNL})s&#i$TSbC2^%nUuXik?4TMYk&q}Zx<2~>4?&phPZ*r129fW
zus&4Bmo5xjoj)atUnN_!SN-Y)U*ndRRww%eM<3OMq~k38pm1ll#E>0eM;CJ|V^l89
z;KkZKz>%%csb87+GLpL&kQM(fgIB%DsMbsnr{3kmsK^s?@_azQtJ7#0uz26wtMN>d
zr?t~&G!=$|f^T8Kj2&Av`x|ktT7PzM1d2{C_LSdwJ0)y7IuXsu$!A}@3z-@GP_6wF
zVeh;BRcHvi#|P=w_}r*0p1=feNhv9F)=aep6Pw9+>$5c`F#d^+#n`!y!X?i{GUW6W
zv}lhzw8(jV%I3)}Nt%)#C;k?tsUcAf*-JC}rvR~Ze=0TKHU#y5Cd;duS3lMAF8}~7
zx3+3ee3)<=8U<bgV{+!izU!}tp9<_N>kk7bX8vu)4S!L0RCq4{7I|QF0edWNp47}&
z?0c6ntH)O_sWnv$W%n*`&(F^(DK@ffeJ5izPLg+VzZw31NJS*4XQ3oi0Rc}`&!2rR
zDenWd6@D=ZEp@%b=5!&r{9-?uOHd>OfdGw@Gy$Rg%sB^LnsRKtP8xk%*}+5>3n6Bf
zZIoRP2X>05dW)dhe824b%=aCpZ!Q9)LCsYQ*$+dhTN&h)^gjvTY!w?VtI_q!Ff}Oi
z3kx61*5upaj*_#X90o79hV;#w&Fy|AJ1WKOL0j&xmehk$Yf@Bw-}K7vGBq0y1{VBo
zkZ`|00hTbtd}gXQyZ8h6TZ@A)#sCRl(eU`()J#}tM`vSyBpvm8P>-4Y@IEsMIublZ
zkoZAFNCZMMOIE*sSOw^9z_>iXoF>z1DVyqT?7RgI>+U<fwG1!GqR(m5KX0)Bza2k$
z;&L=28xj=GINll-(?OysXGKfxfepRJL&wcoHe&J3q;w^T{u?TF%*7D-F;7Wq=NH(I
zcppw*0X@}LufvF)2(b77-Z`;NRD8zR$S4gy&i4#IH3QDFzr;inhl0nJjn`np3501O
z^0>jz9-f|BMS=5+qV<oF<5F);nsF%4L+)8i9X9M;UDYN3F5Vo$8L%eR^%SQm!#>Fk
zJzP4v(qs$x{jI8YAeR*z=j&yT1cesHCVs%P!4Gj8k|3=I<cQl~_rrp-jkX!zt<a7F
z5nR4v;1)5kdj)(me0&QI{F@DBYd11O^jN^0@cXyup?Lb*lP6Dvu;_GX=O%3|^6c=X
zUt<q2gvHFx^^-VEaa7ZBf>w6?a^_}_b~ofO#xT{u_t0z3^;<FVy$rZveM@NHS)f^{
zkDVm3zI@s@r1o(G=R%SXh&bH_d!G=NwWa02W%u0bs)DIphspGB$1O7x!}lSk#UDH=
z27D$9n%;BE9p@63qAlCE_~xYfaXh%NV?pO0!J!ld5jA~g{_IfkNcbb#f!U~T*@43G
zZjm6`8W=8(^^8DJYzi)^bz3|7hotn5htHA}%wANZNXW22xE7dpP!hff^r_%bP0*o8
zrFE|Zv^iaL?-nj8T2CD**zo06j0zDj(G<-bHu)66tAV%n*E@bJx_9m%mF@oR`Lh1|
zLL65m5_n`1T9Lsnk%PqT#qXONH<Zw9<19p-aKykTL>~hfs)6e=o3;z>k7_Dl9|HN~
zolMbEj$mV_p$+bl)~;-E!$ZX+inVD@!MIXt^cd!*%{rF6br(SpK*qbm0G-m%mxMCC
zxPWz&Q-@mfUya$PoQ`52Z*BtmcAhn>CWNIjMmaz$Iq|t=5D5wn6!sVyT402EUOJs#
z$Gn+y@DVNib<yPGe|%X8fEsMO7$7v>FiNGZ637vomyXuo?*5?e7~~Yq86+-(a8U*T
zYkr|hBiqJEIo)A4`Bg;!nD@*Tn}8T*yy_wC0%lwVpE9qIkbeCNK%{{$OnxQ9k{E@%
zMr2599C(3o|8W9XTz!o;(&$MO6|DH#pO)O7<j^qXkzhyf8?|lpR4(suq0k;(-?b+E
z`haQXhBIqs^lh{v^u?be3^M&x3$+CwN5`@25QidsNbQ(j`2nCC2wtpvH;>9N=`mPL
z8+jG*D5U$>_)u-xCwg_5<RuM<66?|iwv5@oTRc=swM!5Yq2h}+iFmb7C|?u|Da8&}
z79I8S3hGSx$9?u_Z)_~hm`@x<o1Yw=;#o$nwkfg5V?@dfNb}yyT^^I%21`uq6y&HE
zZ_G~QfAr6s7IYrxh`!0^waBa*6lWTfsdB)jUR}a}CO747)uX#C+Pvi^bgl~?7`y(Y
zY2k0_=aE#2(@W`XVlZYZj7WaelseJI$jIB|RR(Uvin$a!wR8eAplDKs*pbW<5|b*I
z_9i0|o%z_l7oB{Lc&or!v}4}GhYwW?x;#%L#V#v!Sf^%Y+$q4mDBIN($ZUX`)oJV7
zwH2O$`xE+TBPtXa^N{DiSHtk=wr%$D48p$zRA5A04_tKWmd0qod6j@*@Cgyp79>lY
zw0J(f@bB}Jf0kk|Y_kiaV!$xO+419UcXl*n=~v+Gwvj{w9_3qZ{?08?|6$ppKMy;*
zq2Jpme*~VY;NWf(PN|&@AbbEd{sX6$g{2Jv#9bQ}$=%`VfF+t3TDJaCbm*j!&SM%h
zdExRT?T$oA3N@?oFQB~9BIh5Eu(DwKH1q-Yt6>@{mT!q>K<_E=9f4|<t;bTM<7n$x
zQM9@6RYSj6JyL6O5kkYt-vrOZd7OsSj1<I2V!#6?H+nA2s#E~5C->IDQe7nJ+gZdY
zkQ-3MbSELr{;O+us%814s9E!ERPU1O6<Sp9GRMNn_1*Wedo~oRpzkrDU$P1Sj=Yrv
zzE7r8j?`(>h9JhPqAF%~J@z?pGL;}@{L%AiqjJ!@R#72`Tr8Kd5jHfkx&o}<9Fc07
za3Hj*XFc)EA>)&iX*dottC8o8ON2*tJoKSqAc}TQ<y$h#4Em*O<oqnQ>Vwx-LQUz9
zS&e1^oeFvG$~RW9%4&@Y8)i-48+pvYsAw3R;9+K%$y6gd^dpmmCEvR@B6XWx44JIT
zD@chq@wJKescd&v+MH?{I7@{HAo*^guaGgly85lkI(WNWV!+Njf>k$?_;I&F+7p#J
z1yj5_b`EY5IcBYI*x?4n2=nl0)vrj*Ob{8$>m*>qAd6B>2f_ToUIXRd51X5B6MF?k
z4HP-SqNK`!RLmnK^(5Nz{%7N;9k&~VC-+Gs79nqPOkB_sw9aWRdln47dUSmk(q@vh
zo8w)iYt)mHOP{Wv0SEL@YV_u1S@elU@U3b!C)+3d&<8!raA#Uiy*mETYQJ9HKWMzd
z_#y^erwAq+=z%H@IsiL=RXh|KTol&m_F{-T8jF)rgGq&Dkf`u+n}JW8ML(#z1=sSg
zi<pRkIkmCmmSVJ&D+|RTySl9!fzgqXU#A<{u6aUW3J4xsbW%~PUqa7Ig_K~t3^Y+O
zd~WzrfFC?uHRSExz<vxYfj}wqEYN$GSy?TW;2X)RV5c;W%G}H?{O~dk-|K_bR&eh}
z=`?yU8|?a$IfT;1-{V0@5sx(WT_yXnC0J651Pi$1NTPesUdcp8Tl8x>DxpH${Oq{O
zJ5QvW-ReP#nf%hX%8?8uyu??XF?TsnVb9ZLG&Pfcw{|4YG5KPcbcan5R>R>>>b$~q
z=~-ZGJ}j&NMX}qFL|aN0b7iUoGSJnA?DSEs^(FAs3P6pA=LPuG*6ivFg#w?N;yj~g
z{wl(x`<pN)>SKYQn_fAV>ACBpaD}o|JioV)_Ju3~QE(Zr%|7cDwhpc!BgK|O!KVd(
z;z$1yjyvChlSUx-TO;SPMj^EYnXk-683ptSe=I3bbu=f_mUF^?H;e1cxiZ;{wkDeR
zz~80rIb0-xaC#xHSMxGhsuzVtI9Dj$JGhPns~cU2_qY}KVs!eR89s)fy$+Nxa<24N
zRq*KA-QA^ZZ`u*%alU;jMgvh_w6x$K?hh3Lrn-Kep->U~;Fqs+WotH>98rdO#wD7<
zA)=>0N8q^Hou4gg&`lek8~E3<IRAUhwa>f;w5igsy63;kd>;r`B=FEgI_4!blmL~+
zrM$%*8xf{9Ch8-UO-M{U&FboNNP*V@|C~bEbX-0qX)zm!6WMm=x5ZP8akdEqB@V%B
z+4SEDS#vAXWTpVZbx<4ox^2~uke$nJev6k62~plaBu+AMPtCB<>3z~nwwr!dm1Y>3
znf<5lZm>&b)b__KJ;X$zM?%j*&YKU#?feUvMS6>Ex0v9H*}3qcX67xnrEr)=r!Th~
z*X?iY->tRiAN4E{AlhD)-8vCl7fomYo6!1|M-;-d4*Wnt>Dtn$!DY6}E90f+Wr)m(
zSLGWS8XCI1^+$_<;ThKS*X0<a7$Kd`Is631S9z_y7JA$?G!;tuS@F-UHk)>qICwD4
z*BpcNN!BaA^~HI=?HYqly7fG&|H2?BJeLvrbVEf;AB_PqI?^R^$N7+i=|zP;ior$4
zfDgtrU&O?Gq!22b%3jxEpO76|ZA8bbfB%_aVKKop`Rz*l<8Kc5pY8VdR4q`@Tv!S+
z84j&4_e`ecUf0yqK<K0gG&#!Cg@a;2-Fg+0a*eqv5p}umeo548GJ|Pw)$Z<^qU(lV
zwN4tmu1-Ty8DHR;V_C+_pAYZkS6Mv1v3)muE^8_%EEKN#2nMVAUXWL?IUw=Vfj<p?
zkZ~L^Q2?{1;HNFMFw!hnDhHtYM9zOt=ilqrk8+BAn4C<=@Phmc-HW~`p&jY)q2>&4
zySGG_MO&I=;c@fu$jIAIzZYP66|s;&NbNvJtd9eZMqsDkmtkDD+A1L_xgEZHTuYFy
zV1OShP3gS-?8MJ%aIpczw@jOyvMFgM=!_*cJ~LD3eR04|?IL6P<XpSJzqK}2zUC4N
z;6b;5d;*MEphEY*e9P~J;@*qq0gDs{DYIO*zyGfL?%$dJJwovCl0$!%kw0izMzA9P
zUhmw4j}QR;!GQ~?7~OwQ-S2<Ak~$HdMhGv!&HT^K?*OD(n$GL`ZsPlHZbqeWARq(Z
z^!+>T18a8#F{cS|`$Wlp2AVo(LFzl-zV7vZQ2du+nn*nfk(mKV`^($D-|zZ@W}a_f
z;<MLuhJXTr)NJmF*{lcXtV>WoNAysDjiT9yTDJAHUMQ%i2tE#t+C?cP(+|<-Qmr#{
zK(q81IVBgJpLmq?X4-%O;h^=M{9Y#~9u4(Zwq>m^=x~<A8G*Y^i^k?R?C>d)4TCFS
z`2mL3+E0e7I0+44e+lNC8daA+7oI6<WwcY<vSQ}JGMEq>&ne%KY`mvh_QM<(hszJu
zXnu53Ilf-~q)dfRx0I>@X{YDDR)yu@sU*##K`0vduM(NpUQB&2uT9N;wsx&3zoumU
zy2*kMpC<Ky0wPJ3wL_E47NC|zDd9{qN~Oo51`FM@G(yf_wA+D=I5sTAh42c=6RBf?
zAwOU7w@Lf#&ZDR-P4wPtLY+EPqXV|}ekHUr!bwe0Pic;2G(W*V@r7WM;!=CS15dru
zXbvFi`49TEOU$KiybeB_w(h@efm;ZSl`b!-B!U)ww=BGPFB>ZyS@&i0Dxb=a<iJ^#
z@mVS?Nup#+%<9ih>>s1R1T;wJ-Q&MS63aFt7jeCjT!=+YMRhEdWAXN+FwT0M9_IRU
zqI;`jHCWYof#1E9$p;uMflbVq`KI>?9*q@EF{r-;rq0&)-+`sWxn=$0!mH0<GOH?B
zvd=y^SdQwV0=(}D%bgGWYXzUxGR~kBtWKJO`kyXSN53@|;Ca!X@l$KQ{F5d|GJrB#
z9_-!{zgnxqD#ozq1GJU@&w6Y<1?F`o^p`Urr*#j2sDVE|4V;=RU;hQJ$U;OI1+s8*
zIs!>7P*)AYCI0uv;BrI|;lL>y4DJ3P{)-4Ye!2Sxl*6pV&GhV^6WcYZP=x&qVNmAG
z2B-R-<GL=uhouVoTJj3~gMddM?hjYVD^615f`vX{7>4y9N?vz>o9C}skW`n6|4ZuG
z*UIIDd4%Mzg{fKOUZ#36Ne}RzcR2Ud90rnS8Q1(>O&@Q{>1==U)B=)5ArWO!4b;GX
zH8{nq4+m<NA}qzEBmotu`5$A#8ndp9Lw>sgRxf#C^x0k69P<Uf{K&w2gQ5~8mZO^X
z-m@oQT=ew)!^47SAl;&&@$2rdMpgRK6>z8;)%sn1bh1OH6L)S>l}@EX1s!AM<!DwP
z(Mcg2?0ik<Fp^v5`f*Mpno1(GbuNOF_h=isAA8$Txb%WeI&b6eQ=&^?*eoz<8hi-m
z!4OXEc@ce=U{##U*kC&<^A(B2$h`0E0k}Q*dUs%urA~B+TxA$Zu3nqy!McciyT;N3
zaApsj^v(XQlJYjJ>)iEGNi+Io=>FGK_1+F*4Z8;Kc9N*xy|-Oo-^-!Ec+s#vCJ@R!
zKJ-cZ5v)uvKsElWES%`DTpUb34|ERm-+ZmiNF!Spw$q$Rkx_4J;W@KzP?<ufoXnG;
z56wGJUpOlFs|@nhcDrIsqgMu~Rh(DkMQdPcU%%q6HxLL8=l^_`ZFgJWZwOhFjKnL`
zja>hoY%*sjYBP`F2P98H!R6YeMyJb3Z~b>mW+<w^INQ*TjzQCEm`G?~AANW<nEYJ4
zhJX8>0lRnZ`{fK~qf*!2QrCdfE8*Py6C{=pDBVy1;%W0<L)2e^E3j7pU@<{zqYo6l
zP2&6t>bX1XlQJ$x_;LZ8wEq6={-68K_5Drq{SA0BW}ALS20=r6$;;f8?gIgG?XQSz
zx%q9T`RzOKY($)i$X7OP#a!mXp5VNKepCweI4Zi^Wgp{!XA=s<iYq)B(c9edh=aR=
z^S8x=+qf3gbUIZ(TWWq~>^#Dk3a{;5JTskWVw~liqhH4|vpt?Rn+n~-%E=|L%#n8a
zV(TXkBTYN>sT6E(8SP_?9{dcPL%7tbaBxY1ZHa;kT1<*P5}eaevbCSNAvO%n`LGi_
zSvK0v&^EUdOMn`wz0>Q$R4(Jy-p(*zF0rMRq0qb75N?Bq&pS(U5j+_z$0Ds@1Y^Xi
zpq49}eJu<tnH}y79Q-5DVUpziorg2kHuejObW9#k<<%QFa#%1Sl5`vvZiVeR^WMwr
zBkiQK2G!dcrT*rmI8fx_toT>m$a&|wBBQ{2)DxU70XX5gumkc{977#Hjl)QqlRDkI
zQz>o<i5~42L43ge3lM&kpVW%?X+FwH%fk+k*aI@l5Dd7xuH1SVv&rxPJ+U^z$XIx3
zY&qSS=2O&Dr&1zsl%r14{SK4F%dI8F6$*Px%g?C)hMD6)>`3onRxH-(r|e;o>kQ_h
z!Z?>1`e)v=vP^Vl$FZ>uKBm0d$jD(j3o3A|W)F(P3cLQh-WQ)gptk&aK|wPLk0xZL
z!ZpWAN=#1P*{r$RkjOsrt6Fj@lz8sf#0vI`;LZUogr}pPt$|UdejS*^<YlFWPir{`
zZ91eM1@G*n_FW+u9w6z^>zIdtvkR`%16bxCU;+OxO2=XTYbcfgEav*8)`+8XZ->zH
zTD`lioxfYe0jcJHm&|)kK02FS<^gnc{56R2AP9qJWIx0{5MkedoioUYZ%m8yJcQ)6
z%8>`G6+L62H@Cz6iXT|;hv2nWL@G&Kq)YOKLkU219gH9+uHr+94g=L?sKv7A(<0Oa
zo1Z$A7<h)3n_L3KXy~T0PsnHWL6Hdfw#;!xs&cg%jI^`jRn6{%LnI9FQKQ$W7`V@@
zFJ6Blwb(aQ*Yf5kd#csE8#vMSFiO@kxK7vv8!L3~0pZu)GgM|&G?6$A;S{tKA|fQ)
zikx_@ybQw=6lT&eMjdn$%Sj4X!)5GatHc<vYp)$t)GrFM;>3x<WeIDnQBtwZ>sc4(
zlkbq2jlr`vtEg=M_`FVCl$}uj7iEoaUf_;gEy2P`qWaBJ1G9ckAJO%w?yS*&meQU?
zX$D#%%qWn!+aK?5jy%Mtl_QL~UAqNK8b~-F3*jKfNX&#;SvAX*l&zK|4**<DC2Dx7
zfn62-vuY}?kd`TCJdGz?2CI!MtjPzR)sI<zp0ggU+oo)q@RMClzi#DWpmN$D9WfJ?
zj^<{tZ8SJOk0(V*9|gxY(AEwnLwLj`%c6S~d6Gipg`cTm7J@;ne&4YIL~H^T@>1xm
zW622S`47H#3{Vodi>g#l2Gx^)E+=hNttP7D%{FEd^Qdy&FxEruda9{XTT=r7CxD?D
z`3uZHK}}Ydf2SzmNgJD(uwxZZY8OO=!ESQm`-4Q4O;#kpH2C|2_KDiD;c>2Dx9cZJ
zwC~wBTS5@jaAas37+}p0j)O<Vws`;)thKeZWg-+fx}Y$SS;Nk+z2?9jJ#Xv#dx{XX
zPyNImQgqfmgb>ZJt=?;<f~#N<jNm3CGI1bL`tNW!qsBKreay=K_SCq}{^83oZybD*
z91A537LV9S6cnYGk#;%0JRQqy_A+-Fw8*Xy_2N(Vhec2d4IQm)tuoyg+dyZq6;Vcx
zFw`)6g?lUww@Q)UllPmXaMZUz0NghUR2P13c6cW~49Uc$w>x4%dKsLf(9iHh<(Vq~
zd8u#Q_$Muz52;!|v6|H<VJT;KT!zTKI;@6SnQ7!lC4&=rHY#{d(;vFaanW&8Q&Mod
z#XX2!F=WGK`7tuun>pl$k!_z3^8hX41)ZEFn1#vU2D~!&`&GSgn@6M0hEewYrkoIs
zZ%F=K34cfBsfNa@RszwESiUN@)SbF#w^3Gu-8b)OQ0fJ7Ds%O{6ct`(@IF+iuF@cG
z!7mr!C0+~4>$JWyY0{F{Oi-nXX(%^oC|0HS8qF;%1RGVLS{5C`q)RkcL)R~XF0M^w
z>?GCsshy(5b%RD%M_7$}g_kJ9<H&KDHr~jp()PRM?Rvt#?b*}UX-cB<mLz7wVadDg
zYc7BVWf;MSq(imYJ=<!l*z?3!yGzx-(y^0HnIBkE@HvToavx~OBtv20;uQDhawp({
z6<vB1?>V63>0)Q)=La@k6?zq$-+VIQ)(YaTX!*&+fsHeMGp$t4xpu(Y9HQQ$QRV&n
zrz4APsE4RG`t1kNxos&yK|f$TpuFvDQmBmyC=BXW)M}=|3LLzcy!-p_%NHxlA48Hx
zRIj!bcyu4J9zN*A@X+Q*Z7O0RUwf8)D)&Wr+K8nOozT^P4QI{oX=>0vZHKB>en4M~
zR<}JQ2b%j6$!=TZf9Io59)uO&<`%C__xz6s20W}m`>H@S6w}|fjo_H(MGz(L5uNs+
zzr`Muxx5I}fAKE}v~<qT!+{WNKsO#(3He_IPp}(H#?jJ_8<lg9lxI{r=2hy@V7$+v
z5vZQ*RM>-JA}bx;EJFbg?CKWoKP-?lrR9O=TqnaaOCe2wODh+h#}r8hg7(>Kg23(^
zArY}WKf5PLq`B^h9}P)Mi!;?0w1eqzowmvkJFqP#C;m<7osdAUi9`|2KAcgW#rdEF
zw^;W};=J?}1A}~C+1Hw%jEr^hM>no8T991SS6MTmC?|wj><y<F!ADW@Fa}5$jF1+j
zv8;_BCL7aN$im7qTdi<;8y-WC84>L_msjt)La+PYzn^sx6iXO3Qe`n+Ni0QA6Bhbf
zpZJVAwUu%}WTVT1iwiAD8|Ux0gS>36X6N1TOl?`E=^XA0-WD9nwbW&8pt=03CJ3yp
zOph^->yI~k#-m}$EG*U?kmV@BtSh>Iq^UxD4i>2TfMK?}w)2P>a)CiHP^9c{D)i>b
zi$>o@Myn0}!Ns2i>)Zkg%RU;|`m5}GOu`OU1^Z4-S>|76$|3YckLm*Z2zq7FLXFnj
z={)y2i>FR{>UVrjc<3?GhfbL$Zj+wVE&tq6{IBo+I=`jpNE1$ynBhwihQ|bsMPlR8
z)u!%WIdBHOb)NE-+1;ZAUe`m7CAn=Uhgz{hjjRlm|8vS=%LuIamIOL&V$=m&Csl}K
z{Z__*I(L<x(q0En#G_Qt*;igzrJ)gY?pw%zMDuK5cvWI7iS02;>F;uQ`0ef=Ah+R)
zUw#A6ByhYega>~V4RQOfm_D%&+I8IfL(f37PSof0=N7d|JyWC3+|(bukz1Q>%-_L^
z>0{6CWN>X_Rl&G8>ctHxQs&|^S9|VOgaqY?19CFRY)BR-mpa(m+FlaFxQL!^n6@G&
z;LI$H^VuumNc4pGvl@S6cvo)s_VzNlBn}6NKRWOug`L)f0nY)*7JHjs(>=NUhzRBb
zWt12J#Ov@rM3@Z=e_wQ?0F%xOK=eh>D-ig6MD5%CH;}*wG5zP(<7wtjk(TY<-Q57)
z@+uYw)g<G=pp4t%@zt;ITX(^R*#PPu5)$J5*I=26J$quURl=&sj)$A2e^~{>4PO>t
zO5r7F73=_0T$Ku0`JPN7WXl88YWYMG1{AXPfk@m)l?|$y>UEpjaY>s>M^1KjYBL8;
z99%7um!xl$Veikstplo?yL9*)xRWqN8d^*uy(Zc^g#HEwYq1!g$91lJOrIdpR4f05
znD1dD(Hht3&P&$~;5POucsz6Y64=ggnNuFJXbtykqL*Z5y}`<Km?Usa9H*vjX5gN3
z<&D!}Cj!3MKCNY6I+-D`AqwiDLXl~m2i20tSK>42a4#B_C|OO>+0g%a0a}bWGF9wd
zHdGe`M#hyFYnJFHQWG5Ikv=Jlzdu!>aF?>AS5BLAppUUjb12(?o<{FUsJoeJNEy%C
zqUYLenjfRSK!sD&U&hdvTPbxj@W|}nMfQ%F^2dY*;BstfX@PAo(Y`!j`Si4}F@-*M
zu%ogel;k47z}9REuKnwy-3+FW(iiBx$e*QeKHy0Krt44)wX#)~LY;uF^75mBz;q@E
z*ia*Tpx5+61^b1rMMwLW8z3NHA`{-(zYytF-C8b)hY=owLCx(uNy>IwKyh9R^kPt7
zuAC-)Nr)^PCN0<Jg(!joGHKFod)<Vx@kxi+;Tm&D7{9u^HuAqQrsBz~;+)b0@fuUs
zXx;Q0eXTO4t8g$k{N~dt-Up~rpxDr<fM4q{APx!_M4IA^^tba~5p)j?3F+B#le^3q
zv`J!9|HOueD@D95A|%u{RXp+xbUKJvi;64exM88G()Vx&fA)0()8)WGk#wt`Rf9-S
zED7!;@LAn!%k6to6a!CSoupIA+nCknW_k)=s;f+4g6K*|KT*mHF$$m5DqA`p%|{h$
z?pC<nh;9ZUYQo~mZ@+(c9(NiBRO+w-!Z`79jo0xY38I#FU+eX&K&`D!2i<hcE05s1
zcI|kt)-EuD(C_uxAHYstvb*}4Fp2kGrgeb|i_@Lw^206Y>pbZE4&e7(f3HB!_+YoI
z;kwW^K79i8&O`m&2_Sd8cmKEVUY|7+{NBaxZ$*8N7MI<BFsSwIn46iIN$hAEY1zow
zq}Y&!<x3kSzqG+4;v3kW*v>gM+?b#X&yps9RcOHDnwP<m_BzBCt(&!ZIh6uto3|k?
z%?zOg7PU1t0$yK8?Y~_Rs&h&DTGJi}XD<)Kr$f#hAX%}ic{=I+)?f;pat{+~4lZxO
zt*`&?^s`6KnucN9Mo>?v^~H6gKoLBlM~9mnf_*BTi;Ns<q$A_3<ghuTorlm-@V}gQ
zd{GsA5sJLP58n7<RL;#`Z>?98n9*do<0O!fEQaW1WR;X4l`z6m>bW_EZOCznF&-fX
z^y*y-p-tZ&7%YR)a^@ig2&c-E_%T+kpdpv&hOYY0>wMICNXL`V&n-UV++s9yyG^XY
z_`w9uvau-5gC(bguU%=^)?~!YF?}+2{XA2qP55i9a1zHxT-nfAq0SNTQMGpz@3njo
zDF&~C0v}VM>J^y9c59Q8ej0tmK)=|X6kk>z_u$0#8;t0A=^>ZPyvlEYrUR@3fm8VQ
z0(b{$IH=AITB7e%qLZ}M86QB6x$@LfUr}W<RAgWGvKO_Yg2>o58S?CAo%D`&G#Xt#
zFNp(m+5k6Lf3f$wig1gtJmYYtIQw04Rv>TYLv<zK<I&zSH>7Gj%AL;0WMfc<C+>!>
z&m3OPXkB=0*i9q%JMd$^e2wOXvn=%F8NW8l?jq(Z`|Rv^<EG|8ZWB|}sFAV2iFZF7
ztj#4e4!m~dkw1;2oH<(wQ?zcl&WVcH<EZby)4`h~u?}ah71H1&5J~d>yWC!r4~|q3
zhd)nJ5_xEQrICB*9Kh;vd_}<UO>F$>ERQ#S^Oi&RF6Se(2!JZOV^xOBH+Ofl>p!6+
zn5%j0;xokTaTTEXt%fseK1+Q*EQ1cony!Y(AV^rqAoilH;z|AbihiS_b0KO#1{@ei
zcK}TX2kvIIb8~Y8%Gy-LvpkxBneA7|i&GQ*it6DD3KZ&cLZ-bHyGw8^6VrVF&J<b@
zKqE16iq*A*9#vOyinZhAIt%7!S2UXWU4VOq3iPZ1CdN(GcK>BXgAH*vg1sm9Z}7>#
zA5~`F*~HV}pbA!Bm&+Hx9+c(NFrkq;yiHCVB(KzqJxJ>i4SmeeW2t<(ChRnHSmO<z
zS@|!XY7v6!xVG#qq$hl{8fo-#v@EH!CSn`5x6wb_HAs~dSQcU&Soj%O6ndX3S)^6%
zYezhtxvXoUBcq+3nnF;_Yl)xE0Vu(|Ub<yzIgyAdvk@4ugSyAOyr5q5UP}_-mN%Tx
zYyUiVQllhuTm!pd5OA@0L&}4phD=TCq?t!32ZKO!BTWvb?prz<R{dvI8F0H?yp?LF
z^W_21Z&iD6cJ*MwQE!~aB`X?3ZW?ugI$YHv(l0>|6U&={>6Pttf@RrOb6$(lDbdag
zuy_IwtuBIgAfnl^L1k<{7RZUq6V`5U#GuSgRwMwvVJoGpH%o>1WqHe3&;zJ~@R?N!
z;ex0D%CoeF<)9E-mOCxS=u8c7?yjojn{r$LC~Q?d;8*u{aRD=MNRyqY7;{i>S6=2L
z#YREwD`#a%20d0H?7@$+8FOEfIY@!g->0|%ElEF69C-^rF*3>O3sE)u@wV*aQkn{S
zT9^^OGD{n&1fM30eK#e;W3ol=B$DhQerlxnfjIfG#+rANj}3KQ^}O?KHCzwv+_+Eu
zjO!$g9-nvb<IOqn!`(LINtkR{?dVwq*a=^Mp}xp~x4N3QR%2&CVH?NQLO|mq0lu-%
z4C!192W)Z#FXPlD_SnB(1=&v*<Q5nAE!zWD3mE=6|JKDDtaPetRD%8vkBsR__EA18
zS#pxOTtsQE5X*pYO(w1FJKk7*G~3mA2VZNdkWA%@beY!w(fyrVeWt+A7wA1@b75DC
zql3e5oiaZ@eiLIs&6wp_!gW-0HS}#^+0=jQD!40^8!LkPeQq94aVoZZ#k7}>55e0C
zHq@p1s)?r(NQ1u&tJR-(Z~pYsS+(z~iWv7024Q){w{Pm``R2hqt>oT7`B5B+Z1;iH
z++g?0NY=8^G2j$$_2T2VammJjDG+(|=etn*eJhIR!F4ePBu}2~42aGO^?XxD98&JV
zB*qoIytS15_Qt!`0i_sZ_z~QhB>!&f-5bEl@X3An$<_V&#uH$m2t5SD?DOOoe-NfW
zR-u#%#i-Bw(?4A%>+7W^LP$r?5p9;v0o|sdWX7AXgHNoVY^>d_?(+h_h5ayUBCqsM
z@7G)$`gwF=k&6kg{PQm1YXv_+f!+E<83h};gZ;}%!%;8k#n--A2_%eJapCmTe7@z}
z#C#FBFztN!m&pU!+QMTyO51v07_f(se=~N>1I-F6pvjsCs|+l|teM0PE!%{<98KQn
zgr18EC`!^XD%_5q+V6tVX%yu-HQ(kCcoL3ZV4&j#uTd6rO;1jW?=T$%nt{Ajjgu!h
zfJRr>>;zy9f~-nt!7Ml9FnU<7G`+716zLb|H$K3hliL(WL?ny}anI_h-1fd`5)J6{
zcu8%MkQp7ZcJ&xf(SiiMpM))qvw4|w@;jx^Iw%+1h#j;U{MP8O7)=!7U>G@>P!^k6
zF~x-})3S0tk*P&dUsKcVKnRL4^YZeHm_#?kb@4o7nXp)vySYv^y{*3&fk7Q`Xm)nK
z)qheuo8m0AuYul?GpQM`dBP*jJqx@Y8YvI!KzWL=6ZUJ+f5DfU<hosz6C~m+ktIs-
z>_JfUa{O0XC2W_lCEtSc#Mlmi#-n6YP6O-}6E$a-qL*XV@;c0fcJ}rnhbq;lUvsue
zz%Ulc?#RcIgtY?2>FGxuab(rlk4#XDPtRbLg2CH6Y#|QETA{ddw0SH6e~QECmXu9H
zPC?xsdYep#?<~kV?97j;F=CD*Ulq>fE>(Sa4i3@5>Vn<Jomg+^;pU_$HaxDMhQE~z
z(IQ_W&`PZbO{xq0SaOVXmC?9AT`EylV#;HlTCQNAv6@eg%heGScn@;JoAG(ol{la4
zA}4caFE!jRstV+*xA<AHn{mF=KvlpJfT(44Tj;rEe^&ET;5>*JxO|Ly)B9*j`!V0P
z!TjC46MYA_@`R&5t0{lEKCS-iEXRyj%!&iRw5rwt*Lk{$^h4ae3M=40!z_Fs6eT2-
zum3%l?9s6z=6J*6gj3Q@cx;&+9Sx=`ZL?Yq*{9Zd2jR#M#An{EY_aDq0?vu6HYNnZ
zSjT2SS^f9vfm8sZx)rpj*f`cEi(h<Xl03(t8Ok)eMl=#3W=I#0{(X9s1O(Vm{V*s1
z!8!vw`1RJpu?!mu0Bl9b`Upl0g2{yFAObxsTsEW6d$zOt{_Okr-EEOizl?bBND}xs
z5kwo?IDf<s|Mv$75P<1)wtWeRgMjda8U}h?K^7;#)6?_8lNZ?>Zb$%7%XM-Ra?+T~
zZZnW#TVkP9^jE+!$;4^?4Hg8l5`yGE>W-1Zhc9Gs>6P&V=Pd-0Rur%jv?qNWJdnd2
z?RaY$lq&B6-`sAdn(ULteoTy4DB8$~?R8OfALLE|n?Y^X+_valVfpd|bj&yXn$-u4
z$dC>N#(;_@b$TmqL9Vzmt>XxFhKEvm&Z;(;1qJqAHLe^3fze0LBnc^&fLV5nMhI&V
z$c!6oW4EZln*@X$;S3ArQ+eEV6T_6Wk&MF(yN1sm1gcNV7>AmIMJd!F%280H)(?XG
z5)_1gwP5I+8*lJ*U-f+C2G@e$iTy_Fa0%VNZ=<X~)cSM1sq(W_tojTTDlWb^;lGA2
zfSGPorje7_+m)XFKwK1nj~wQiJh~D+3{Gt5UH*Ge@w;Zs8tAsihVNTj6%y0agJ&^i
z&VhYTnJ&K>RUzS5p!G8tl7(MfmgmzvH)%VSoE<+@$7&s`1ejKlvXqc7O*08DUA3me
zhj5YoMR2d#*9Th@J_Yh=`n%-3H&~03q@RC(Gq}vM0~^5^vIj`uOb#|ZZIw!0%cAPq
z@urh*F}ox$i!6-NxLL+h-QQB9RJ{qJA+qxM9bA)w6%36SaGIY~>S-TXUaSf_KXaqa
zO&67Uh#oVmkM?nurZ^P^QpUn#b?iz>KvVsVQSlv|<cYt&&w?{5r#bEV7;OFcBBG{F
zCZkLr<4~d&JI~*vhb*a#KXWNQ<89iOhQ@xBB|pyDfrhn6q+Q2PQUUz`h6-KU)K;~6
zm%o2`iH3v`am5dD4J4p}$d=Sqy(&u?vlVM&roBwCq3pjLCxIa<*g8q!>2-12Td9eU
zd}|872n5r*F}Elz46iSpG9bBGtTFja2Q*R2XDj;sWN{`%6|>?DZ6yq?q$|EnI=Atx
zK`5U1Oq$%9kA<oOkfd{?31;Cu@p+x*oL~YWlqy@|(KE;gs*AGEfYgBCFN5kXV1Dt(
zMM;+UwTiGPAjW6+KcC(Etc?}_UaaZ`!!)U@MQw1tH!?7YDRpplJq7Oy8&N!Bw$^?-
z$rbWVb;|A%gw_C4@Xs)~8o|-XuBihUDq9fr^JdHbK9D}T1OABHZ=g&G(V4ZkM^76H
z_)!4}0^2VjVcWm>We+x_pTYe3`eP~`P-TFECI1saZ$ro^zJI07;G6Sif3n#P8JQH3
zxshbsc?%P8!x}GqgZ$iT|J<MS7{-{c`AYUKQ%(CEHrQpBrv){x`w^rIhfDt<;^sjk
zPZt*+OqW9+!bQi?c=_a|azC!rumyKRtU5X)E;kMT9s>%~?R{bEf}^jogpzIr*_n9Z
z^Gb=Dok14e39?RIhL#|YkVmow&yNedXWn0%IfoqIHBZys1LZ+eWKzm$?_iu+wP7^n
z+az$SMYaqnLEMuR2Tq)%tgwt~wZ|`IU-)mj&4kvOpaC(pF@dlQOPzMWD}smuRh9>)
zM#eZGk0(-~%#wKS{F0|?&H?bzK^vEpmki<4uCA`XJ({oi%Q5&tfD`8H7cCFm@(<2L
zce(?;&k~E&JK|s=>TWhP3ecXz9QO=LsbQM>Yq5J=*zc~Uii$4DfHRs2UU&YV^I~jI
zMgH(l^<8qmV$M{NjY)}*iSMV_UzC`Mr(pUO;n;!)+<woEM|Ykfzc~D0Yf)gI`$Qvz
zlLa$f#@$>3FZwebkJ9rMU>gL<d>h`}6(<oG0GFZ2^ota$F&Z7e)fsHII4LjhdS|!M
z<PFV6;|#CU$kIA1NN4NmpMIaC!r(7~ZEM>av|s$7m6MIpd$-h}KmYw+Kt3%qt^seI
zmZmZ~lbG{B*3JL^v(`+l8pmfPv6KX)Mj}-riWiNCk!r#PVlryMLcP5CQ`-@nadg$(
z)X@87{8S4)WaRW9TsA8Qfx}9xQ2~KaQ}M^+Bl7&PTqRV4V$bmSnL2i^zUxc>Yk>c=
z9JUiaqW@H~gz`yxL@7dmV$y(<M)R?v>w>b6C3o&-ci<(=d~yu@g=#A2nvKG*(Zj8<
ztUTKOtiMboDiB`55!Ui?O<3F6d6GOTU;fCvh^?=N){*W#`k$%4)S9VmaAh|W|3)@1
zd>0p&KMukazu@ZaDz8wLAR0#ZM??xWR4c`SLDsvj{-qhTw92{74PjyuJtPLi^Mqqa
z+h)(ZFP%k-@3Wq`IkeOIF!L~D`USmXpt`(Ar?1d1o`I+tK1YNr%F`Fj92y%N&vqCc
zDsQQp*uiZ@tMQ%48ouDv6qFTi^qIfXdO(yh+|@B<e-rlk%WyoRX&iz51jt>ffb(Hu
zkjm=&S;6%e*gI~Y{26$%`F9_@?tj<c|GofgCjz7R{P}ZWFS;p{`dx<T!2MUab6Y6Z
zYsgIaU&A26uYvG`fP@7TSMQBg*Vexl^ShRr-~+z4WSzd-{63LfHN@cFtjq6oN#7hb
z3}Hut`bA#+yFKg!g`vTKCf67G7g*o!_drr{pX<f#Uxw<t?NLMMemklq3#Mr2O?$m%
zPR;M3pG|F@5H`=>vW&!2%MVfW#*?A<Q=?mC89V1tL-Jq35}LVHJoy9S8}t3c?z?X#
zK!f09P%d(mTB=?oQ7SzH(!*-Y*j*a?#%A`5FdF}-K`DBtKt0<jM3NRxPQgv2mbJ*r
z@xu&gU*IB&C+0E>W|unWp@}OU92{il^<!1Wh@<>TsDizTB*z%bi$nii1j!LTwKRYC
zQer~n!Kg^67=|>BHWmjp<S^p(YJ`2lOYav8QEv<oaf7vww^qzuzt)syQl}MFsqA|;
zNz@8-3nPW-nDZ8#)|w;P>|53ge082a45c1GE1>NDweXGLnZIb^E1sOdWNGKE<ExQf
z&%DYGT>)$Mm1SC5(QXxdxEE5)%EAi0*mw|kdDePEn8a%(J-k2pUUD)*Ve~YTmKCJN
zmZ!;kywi_fqygW!(J?GIV76l%LNSWAfOYRzfm`_K=xFN&ezYaUC`>3}Qu+b!QQiDD
zO{?;|r+jYJTZ9tv>gG4>Z%%*yb4LO}eDPqNOeg14a73?X#oLct2G9I*IAsFQh=D=@
zlw7U``TR@6g}t^af*52x-wDlU-%UG>b_l0(K)5oXJOrqaeb0suy)#rQygI~ji0j_D
zV7R@^<%3%!LK6EeN#crXobVljPV5Mq;MxsrB4Xm5ETt#WpAQb~cs6U^4hrJLqQj1q
zShy&LDv{NR)m>1nPX^p`TYmk%I#y1L`L1f4fTB(3q5VU%%KKuLcYst8-vU>r?7i9n
znb+ASwim_WntgFk(BnsqE~337V^El7uvti)_rJ-7XHrVKd`}#|aRhw}@2Q1b;iA0v
zuwB1bmK%anjBp?vTOLdlD+^c@5(`a~$p{ftg9fQ`^WhWKi6_J$<Eb;IGsl5e@JSD6
znM$_r;!>DQx}}B;$4}x~8noZ#TjFh>%o7XB$#}%ectk%E1b<f_xFxn5&JmSr|Bt4#
z4vPBg;_xor-6bs`4bt7+0!w#GcL~ynbT?9hba!`$bP7@;B?2Of@8vi1?w`&uILm(b
zo_o&cJkQhcwzIdZzTVBp`tb?V`&6(B^Kp-e{kwnK6)AXgTKpu;{WU<`<9c@s=)M2<
zby99zd=wa9<A31Eg~KN7Bew+f-p7-t+oy@|mx$or-mb1cBjhe$pMh)ZU%>im+!wf;
zg3tR>O%rYw2b)XoBxP~eQh4J{CIN?lV}Npp6`OkGhp^9txv!x)5>Iam@ihy@<(875
zMY20?SvX?roDeQ=yrUMsrYUNU-(NL&5e_UBx2pksIUw#fS3#76&l5w<Z2)@@iH<Bj
zK&V`1Up~D-CuSG<l}7UcxQU${EM`&%7x&zRA~Q9;BW0J)yk`r<|52?t3FCq(6Yyhr
zFsEP$Fd?Lg4=!J-=n%dbsX$eBecnHttVzJ58*Hio4?a0t2TQ(l@G|I}wwu%o)yWT=
z=opp&U7V(8Vjkx<0|=PlTCPa<!J*k9ZcYAsuXi;E1vQ+^DdAxn8NH$rlj^6NJzo?^
zik!BvnwyBjoe)Z9dku3s9J60~%d3{_Z|VVYpbzD9r`WhmW~o-aOEP-3yqv!N7Zul>
z2oaW91V2VsYduFIQL{kGm9J)SxO=M^Pa{3lH)BLTtfTq|5vMJs4Ppg7Tq<{`nx-Ql
zHGsh?bXfkn`-v6Uj&P2|N`iDR@R5ijCw3jRd@nI3th1|=<i~Th#DF8q*Q><~ty4^`
zi))=Q3G9Da>t*uoOO)Z=NvSw)1M9}-rph9(PtZOJvpKd|+n*#bwZMn@(ppsLWK;BM
zw7>EunEhH8&Z9ejOkg*o2oFuR&yrTFNtF#P`2_f3`$3f5M{R-kKi+A6CLhe*l!%|S
z3E!lzBB`f!vrW4dQGxbF#Dz^q8tz}Uw<-(`xpnpS?woiI?HVwjcG#rrPlu2IP*Be2
zGjr@;j4uV&4N8CPE-rrgVxCOD{pBC;4OCwh0{0DRIKNASOSFt_5n(`<K<rz*k=j<|
zX@`9_z`)U?(jFSbCFmvsu=2k>j>kO^{Oh~h=S2isT8nCL5Isb8V)mf`&=hVC%g_d&
zssf3k;yDIth(G#hvxurVk9)~hw!(F}{)eoPT(bzt+#=+V<T!*p(<=gF2<H&qWNB)7
z{_p_j=GvO3()<_YL~E&X9@c-nl{FpL+_TQFV4linRCVtxO*q#1;eDm#LJ+WDe07WD
z$^FtDx7fQ49H~#fo~KaQK3l6YW7EdjfB0<-q~1&P-b>})pUT)?@#1eJh5(B*BIdL$
z>%BI9n2nt?A$@y`87z@#BM{)w;+uV|b%mLpsT|S3VyJNhAvj5jP<Xf+QUoGa2z4RO
zlmU8V=$sLEoL|kGVUmYk!4KB3mfqesoyGtvV^Yh(&VIPUi81(iUe)IqtzWGhw1Yj!
zIcxrDNML{;EpSJ?qTv%4qpG%qnZb_|t8tvnO${{6BR5z*5TUtIyh+sm*=@o>Ny9V~
zZAe>a$QB(fp*0)*V5KoV&AI!k%R04+IVZ>5vU$~sZ-;o`#BXP)OFvsp&P?%B9PG3*
zl{`i0yvs=OZ{N;NQJC=;e^g7+p%d-dT=6%LC3hY3cHr>~F6Jtjy+&H0MgjPX_V;sL
z26;{E!zc7LpGnq6tfE7*aIz9*QmtWXrC-9s`pp6Y9*i}gFB|N%xfSnR9El>v)w{O`
zKK{AK_p&Fm{BhhpkwPtIrnzE0VrlcX`LE7eVT?qKnlxHqAsjtIAuIlOri<FFPxF$W
z%JmuHnQ^ZW5zHbMv^s-M7E0x39t51j=s&b}AKp`Bli8q>@p>|ync;h`FFa(HzYa0d
zu;-l;;Xsj5wSfm;Kevf_HGt6HykeqVY+SG*G`p^*^;HS?)Y|0Dzu_DiV1R#)R%uwh
zY~_AX7?386z&SsJV1Ul~<vqL~7K!60W5`$xOEjwuB818PWpM9&&$*8wFh4#GcUMfo
z1bl&)N=<dED4eb>wQ98*O&G0}7bQN#7aK(5r)(OltJ#DC6<_EbH)WlpD3z$<gwRo2
z*7IQ%+ITx`{+<{K({`$A9{iGc`>(a^j`|$Ei6V4d*|NT`pY|ku-Dl3O`mic+H&>a-
z46?jFJ*`U1-MzvFadA>$-Z;B8%$&@HlZsZ(U^njYJn?)p15n*cN&-AS<L`?h7Qycn
z)Da$j<nHy*)O^agaP4fPj0THt4O!NmTNy{oxP_QkP(B+C+Vs@ASw-7pwZiY3ds0de
z_<9mSwz7W1U<Y6Y^CYG(H<;^JwoW4aB~qMKx5&$`R@b0<<8j_Z&uTdpatXL?w7;`T
zMlh5kHK@Bel6P$d21(VTw2>}h=|N8}+%FNt0!L3*$zYK6xL1Gts_y(x3I_q$;g5Pi
zc=M?q6+qur5B2U8734oTQ=uHCizdj?PEOj3M$qz5=ZXSz!%p%e_lXZQ(-X^)5*3rt
zMRmuJHZ+KNJS(vg5}b@hq#HyJo@-7@`;f52Q`VuJffY14qyEsyq}D3!7*96QE7q9y
zZm&^!e1#K5XtE+;SYF@cOz;S%rwp7Fo$=ZVEar+#BXP~)G-OFrGw7Zo{p_G7C7AUd
zTGb=#d-#@XkO?1hOLGIaqdivrLxT*iZrLC}*glp-8Ui<nj!v61oTWxDgff-LSD5{&
zRH^hw@O&+vR8@8LYtqI~s(vC&CH2Au@EUvmTT5OH*01?Ywl`j;0o$E34hE%<?^zmK
z$aAopTylUr>gL=UJFZ!w15Sz4nhoixfh-mRN#@V~=YAEQo<&SLk@hTow4sjUaq^-&
zt;_iXW_#v1kzd|%^n6TZiL1R&MJ-9CcscZsGGS$9g~O=rGUNed{go;z$G%mjOm|Z8
zK=mLR<)M&fLLMre@!E35Z}@_5U!2-IrfH%S&Y{8tGaB8UjOrGXDGd)v&Wo{{oexAB
ze2&pX#+GJA)8i0^z=sN=aSRvYW9aw3IKuF&KK4t`8k_PUSXJ}J#s;`AxKT8E#w`Ph
zp+*r~Mw`%4#H2GlDJ8|99rL2g-8&S>TWWn6Yz@9`t$kuhkd&7i-SV6nC**ssf3ekw
zOkqr@tEDDp(Qe^EDu1Bp#HdyU9k%kQTL=f*<^Qt)Mk_(|!mZ07I6H2Y>{#~ojC|Ur
z5jZ0swTRyhALR!)J3hT$9A7jSX%CN$Vz}f;l<70}GWKmJoB=Xut#KzKa_zF2NEza&
z9CQjko19v86V6umffJk1-M-oo27~!s((6!+DlzNL`hMn!QTZU+CyP{;b*7->p;_=w
z==pmiCLGIon+15<6ngK5(S9@pep31%zUN{Ev-<+U>M!52v9r(E%ucrim%N{MXjQUI
zSO`Z(c6vQUPD3DK4!&dz<=acOPX63q3+H0Luh07=dZ63P(ihUkll1QN+fAHIoTLip
z=)fv0)9eMEiE(?N*7gL~0B7L+K?dw1jS+JarXaJBnVk1afW-2~MkYW%fJH+p8l(NN
zhoOlnK1+^lh>BG;Z&>Pj6Ir_XCkA*LMcpPKk3dMhjLy;ZG<E{_uczcQG(;HA7xL?A
zlKzxKdCK|U*B$-xKwa?ypB`w7@P;Kjsq1U>m>670ZYAbhGjPIzh=PwEGd331fC*#i
zR4z#tVhRof;yxaNpy>FA)GFR;ibaC<=gW2v_N3v^qR)v)<7q17pN73VgFbvTWL`SG
zDO<GPzCwqz8XdpHJ^1qllrf{VmXb2yCYyIwKN>3*z{6nPALsoLJ957?!(o#v!}z|D
zm1l(7VkS^d<{VDI6HRTsI;5aUR}Noagb$H-napNx-OldZ8Ph*}%y`XR{bbZ^#wxDp
z&z(T*m>_%IQQflpC`7Vxjn$MD><o&WB2ZJ5Z#uU=Q$+q@IS63PR@`gGqPBtw-4d0b
zU2%z(+$xMH64Je$+u|bj-E?b_CFdrz++97-(oDJ^KYm;Xtw`x1Rpy7~?3p5A>_Mrd
zKYa!-npjBoVait3&03$RRabA9H?Og<u(sRHZm>u!O#-iE%kQ*O%1-N!B;gQ<egQI9
zoE>@J-CtytH5EquV<Te}V7r3sUh~_VT4($7DSgyUvrjFgO)ng!L8L~~EsoaLOl%lK
zg@q1a&%b>3L0`FApK&G9_;@fXXy*;_Gx6DLvoA`U-DoZ?Jl%q<`cgRT(p`pkS0#1J
z=NA_)&dze0^b1MUgNlBs0*Ndp3dMqEEvN^WE(-*1rj%|;YBI54k*emD3aLL(?3rr0
z&9e4TcnnLWUK9T7c?jJXb?Z;h_4;es+RfGPFOR!+ika4Tc4kLK9ocAq_dMM)67TpG
zldG$%Stpaj3d(eGLJDrBLe!2b+}lBX2>?D^1Co8LtxI<<PGL)$QP9V@eCuc5Xov*y
z1_S8ZV(e^fk9K!Mo;|wEV<?x^cFWRUs-Q%_<&xv0YhohZ7i-Mr9(7YoMVu*JM?az8
zHTb~L2jxSn?5*N&pXUB4_aU!d0!_1|&CVy%-iyM>wb(@SE--qM_rR>7gnz_g^X%Lq
z?;WGa)Im_VtMMIp=5l1_mlIlKq_d+TsB0>pA%ZX15T*}Hl{2>a%C*@u3W9&10CilN
z78TXobG{{$F|wjXf6Oqv_wD0Snz`4N=K1!b-8~&0;9B1iJN)I#m+fs6kyS_Au#R>`
zNNlD}a9Q<eA=*B3>WB_NXAvM6@E=}hNkvuV!LXC23+JrQk{ZA15COo`9n?-%aFBGy
zRXmqFWcC#fm|)a?oqrI$`rbG@kR{eHU8ut%3T75d4xkahQtJNd6%dr89OdVk?O*wF
zl9Z6e)o`m978Ev=&@)?Q4XO?kJl9uYUfRUXolCA?uan3LPZHjTW>9EG9~uB&?$?@R
z7btD^>`^<Hz4N`8SR7EkDKzRxqZ#EenHF%uQQjgio_K=Uho$AdoA;Oa(S6oQio<8}
z7er1L<*^p%BN8pm&4iIOmT`zI=TU2!_)r)e0wZgPoLOOtdsyDvmG^)EiW{y=KDXd7
zWOTuJVS$e{B^oYDMOf90jEoFwuUlyV+ya}*^ok}q6FDScKdiVi=ztl!4l-rNRlGJ^
zHKu9sL+ht!kp?&*z-wGx8s+MIfmba`gl|`A`cre8J{+X3#7NHyW-YSoW<fC?(X@QH
zt?ZQ+-<GMum{7Ok|N3?Hmh;8g*%^AMA-_rhmqu2zt{VP|U1@VOQG=6-%Ni5Q^Z8>3
z?_ZyJKu08@T;1H!QJHzE@Fc|({_<GR%1pOzKV+S3|2_E({8RP91wsD2X%Oit&uZ95
z54DT=HD|99*O@h=I~51dbsnK%QG$?3AUpEsEmgY>EhSA>HW{i-&)1(mLVDPxf#Dnj
zir^r>y}P5M%Up>oHX-aoBz%i+uDSjh0w-bedeX(n3X#=F&|XZ<G3f8_8<X0jJJZUI
zI=eD5vv`JGyy!q--Ufv}+Ck(A#|Z&52dPy0aYbe+&>3GSRaUAnT5#vfneO24{N5#b
zKA9OhzlqE^SIZ&jK^u+XV|<r{@TBxPoX(kle2JMGCJRv|!6W}qdGQ>NtDSNr6BLro
z5BLa)V}V}!Wr`3@8#g|Z>A?tiAh>tg=}mR_^13k~aelu@;7^$8x`394yUeIB*?Y)C
z*(~PoL+R_{;vzz|F(3cVJI{yJ7OqLQC|Z#dgT!)-jrvGS$x0-mkHq6cR47+jYQvZ@
zCrBmQCh1iWulhyC+aA3*ImMV~SfNd*;z@itarkP(wCpd@O~PHHOq8K-d}OVY^Y4p1
z2o(f?YCvyh%aQNy_Lgz6LJJL-a+Enu37qZ#77Bd^KcZhezq+$yJC0+;xqBp8PTI}`
zLwWrwHVz`CnUPj%>U-Y)@N&tqx_r@|0&sl3uHyY50r<C#v+T#4%5NO?=7`#mxuM@^
zX$+-J`_U{aqgR0QGK~w!){vKuK=fSOFE3dR;j9%qcz8UR%$OzUoqg)ysFC*d{#;Oo
zTs{pm*m_cYh%k}D7Af~IAV9**uA6&(y6xYrDg$aE?NZ5K>75Ad#av1eBOlC=2n5iw
zZj=`s{YtgQ4FXsV&Eo2ph2rs_*4#lejV;yK{VV&9V)9QPTfYJ}p~x`SSjH0CX}NT6
z?)dj5kXgxDJQ$VwB1%17X<)9mZsS^2ukee8VqJb|2b<qlB2Wq50sW#whi&m)*<x<h
z5$O5gra2P?wW?kPeKxtcm>G1cz&X4yTyW$U4N=ggTQ}rSf`llzeN89+DLj8~A2&`I
z85Q6WLj_+{t(8ilvBHLik7gw=Uea#x?ZzLB=&_k_e=Z9o8$OSx=vUVyQ=*tdQP_33
z)H)<%U*mH88N}AiNtH0jiBPy#XNqB~VjYqx==|+|(O=uo<iS;3?`pz>>8%2e=#P!F
zj`QJnPbNO^c3`rqIQD4_Ug46nCbcGoluB~FATZ8D+!`Fqyz*Q>@uX764dx^v7+KLh
z-WBi{mqU+?suP%P0C&2+7IS&w_8sN1es;lYwocw9Rd;jAEd=)JgBn#WT>*k45)0)s
zD2XGf<&>>I5oSaxV$qROcQM+A3xL`F`0=AfD<zEF*zU8rM#G|*i|0^m`EwNo_OH1J
z2wu$A7WYGKezg}d@eQ4w<SvgND{anx8o=(1K*1sHwA0Od;Dt(hyoyq=cNLwM&21z9
z`>I@pTZtLmzVf*!67*a)+qj<DaD~C~v-2<%eY3zLtxq9zyIPa~Az=gazCN5j*>+?P
zlWH)H%u<d)6boGloZA8v#&#fvj1>hOh0@en6^jUbAC5U230w$7O3H%lMi|*<<jvLY
zZsC^mv&Cl6NQ@dZ=cjVEY|QjZxII{**HW~iJ42&6*WilY_vIxU2Q5)7q$*`a6j|hj
zIAWoh-wwY!touUu=UL%Io$y_m4`L1(ckW`CMvA-QBvC=1Qx=5|?T~~?m!Ob)5I5-$
z8W~t+B%_kQxR>tlGwI9GW{E$#rdQn7-fzdT0JWfip+lT`Tpn#uV{0ov1y)$e#!$Vj
zw4>9|Tbvga+Fp`u6Mkb`bz1F5j#4szgL@ZG^c~N>ETziWWMLY_?}IIz{{&Mw^#B-o
zbWk=mkcvQ=^b%p6R<FK)PRQC)U=|`_h!8?bfZs~}O?`Rtz$hC)8g77I(<wL+!3{i%
zJe&CC7`ua<;f6H7|0b3(LvqK>#PCEEidZqEt6#cFV)Q|9Nh&$hIXRFx?bwi|BqOA*
z01UU&G+#`05$JV$d(~yYX08!CF<L~YZ6~klj_>~anOprr{5l6R+i`*<Lw8l9%*;6E
zSOuQU)Wj;AY(<7S^OizdBJbj!6_;j%gz5v~S#4KFXkRjE&R=?+L{t@HRU(PRbo%iU
z)ZgLxEd)@0oCh;f>cUU&GyD<R=aiGJg!1xr$Rtpp@sg(XtG%+s$PhCOO?`sp68VeI
z#lzd%+vnt>F($Z%ZmIMzB*?lZ3~6mjVCuDwAx2i2Qv>m>y-i%Z=g9)|#IDctOt6YQ
zRIpw#D3NR_A#?BjH6$L2Wpx?$#SJ`&#WUt^tF<?sk0J<=hGp9+1ws3!(VH^-(ctX5
z4bjk@`klPqI{Xo=*n<V9y<uD{QtsRghrwkyCEFq&eQu%Yg)dg13;54B7Mz6bR?0YA
z*NY*C@FAQS&**WyD4rwfP~*%)4m+Gj3*^2+Lk8m*O<0NWUu6{De&wMW9+@K{I@Hg-
z{vmg(r2LG;EZt)y6M~L1LNYt=0V)05sUTXt<RJ6YKRX`Dm8~A#rr=s&WVh^J5uv~s
z3I@%Q$jE?+R@2#wcW1XT=VoGWxpLSTYyEJzsAVJ|Y7U~^w;liH!!zK><#u5fsHkw!
znD8M{7oArkE^co1YfjFuU(0IB<Yhq3oQGsGpdoBQzW2C(y?6fI$Gh298mi7U8*I+W
zT@~d}PBZiX%Z^}5b#o+WtB?RmBLQ}X{XZuE**BDn9>tDp+mF-4+nGjyN~ARb@I}t8
zq?Q>Rri>r#E)G`h{ifQc6m%k8KT;TVJsDj`RVfliJ%4FU#vrZpM<b|wxT1M4p(c|P
z(tMNeq75n2xV@i9Y?hvP-X7iB4aSiYh%eTp=vzqMnmr)ob%k6~tMxC%!C*IUB~bb!
zLYRG~y5yv(=j6yOcc#i{Uc_FJnDOOwm&5%McJ265vvKC^;)1-dx8Yxo;Ss-VDYs{)
z*8RHC{7?E(F*nXO9!&>)R8&;A3AQi?VP^i@7m2x5j*INLYRJJ&zvuhS<{X++wGhkb
z@o+wF5FH_w@tiP5rs$#t4RZ4C-L&Buf`O@tkk9#-=GYnVoONBeP8@gWegb$QFb`|R
z=?wyxQRpuGuHc_wNs3YaLsUVkFbqjt1xV9!>n=P=(|Va(Q7UNL1h5ZB+j)3g@9vtd
zt0wTL8>n@g^cv>+xwu@kmF7kt+M_8c;3v+<<b@QE!<Dex#rK84lm-9d3kV3QL<M}Y
z^82w0_bX7<avW|!;o><<ONFvFb{hj+9R@}t8O?zLZVFL*ggZw5M9xx#6+Ih#>zL!;
zE%R<M;gdl7IP<<3d>tt&BtB^w1eu=%M0n?gngRv0JHhhLCDW}_#=~ju3c2&9_F!ny
zOfR`Gvzm(LpsMCzCQa}Eww+5Ai!Z8F>nI;<=}rcW-oEwMtC<7HQL};8giWJg-Acd2
zhTw-}l#sX({319cEddO*#e_?$At%0TxxqcFsYZ-A@04&@aYPepEUU09AC}&1txM10
zCU@vcG!pD`W(<dV50GhEA>g8DVJWv1sgZT?7NR+^{LwU43SuS`-`qZXX=!F~7`b#O
zYU`hpf7!y6F?ltRHnSU%ok}Wc(f(%gFetJ#6Op~KJ}q|cE=XJ@sQhEdEC%-bpFj1(
zn6k$myz_7{LtpA9G14l>&v2iS`091@B;>7vVgDb4S!P?eHFL&csc84?WklO#Xl!2z
z22l<8QU-tJ57H{-+Q&xKX3<t2&VqeO&-jvFe+x6lKp{OQ2v?Wk*{7!mT^OAKQmJU5
zxx4ZeVIeAJ;+Ba|E!C=6auBVQR$)vTijG_tc4?K6T{oDsSEIA*^H#_wo&2Qt0;D<Q
z)pR~i#n`|xGlW{b;O#l%$uz8pX}1?I)FSed?WmUYT#6dmzXBBk<*46}@#lB3!zZ3f
zGO#0u<ws74?^6cf{Z1!yMLgDMwptB(sL!;ZqII|yN28J(5o3qSD^u7$OQP*u9KOa3
z*RK1incu-HO|{Liyq+Pq-T@&PjU6=s9`&h`j26%xz;kU{D1)UZsqHcmDnb+>6kwxy
zFtc3EAM3&m5YqU!eFsmvn-X6m`zt`mxW3j{b&WN8G&N>LvvVBEq;)n*X%gH#1kDH8
z4`cc)(5fS`k+nF@7I`{vRbZ7NJIuV>I?rAfnx{f0pJ-44RT+W-M4|*uo$y{MRet72
zI2%!=<A|5&tf7gCSW33|AZf7JQ?CXbQUPE_{_nu_@t~soTv-1fST3ggPd_DoP?7f~
zeC$)94ihfApNoxC+Oe<K05nukvFOXDOLs8P!mE|zdt=zJlR?9WZUhu<x(9hx3xaOf
zEV*UVt<6c?3B+n4l%=_(?hpw&YA;NCGa^r_{Daf$;wD~rq-?{5d$@xuY7P{VF<SgG
zm{LVZU0*b8tdG_T4oEAQXHuIo`>Vp2GTYN%philw^r0P^^%%wM`-)H<$t?p43A9)v
zhie9O>c1M{(4qIChJ=6pSZbZngDi$2O`E(M)ySD&O2HsM+J;|>dxU5s`P_b_Q6N5O
zM}7$MB6jb}7c4#fp*{t5pFb#)&Zkk~xCtbzXhcH3*adk${_$J!qQt1ufk{H`lmwuh
zqi_bJZUSwPpTXaKd&vzPr7nv#N@9p*wQTL6Y%mB%JY#i)NhzO!eh+m#`-wz{jHgiO
z9y0VO(9)7_vSHA9Sk6N$-m&S~tYet;UAkn@_j@edGp8tUH>3#xv#7-3ulI?Yf9<CN
zA-)^=c@)z&9-Jg`P3T<*$U^bIQFgh6M}AP%gqWgpZmFWzxt1ERs|Pe4k67nprZwiJ
zPgW*CJn*<)`0~-xI$|!yK-H$2?FEQ<bJTX&Zox7mXnD2ccR~y#G7U-J{n&INcqeP~
zx-1>zXzC8PUY`}*?zBZ@+oKA?i?OgKN(B;0N5;uU<sgL;a3M(j(Pw3{`fctVGJgWa
z5<VRJeiUJ!q6I0lfTJO}6o7uU&J2yMZvLnpic|$=Xm-bgMMj{8=Xc%|NKz)HHE<*i
zfig-oZhU-(8uQuRoHiqiTQ1%9sH=T)>T!1z|ICTY`~HVD%@A0y6AQ>LWf;-NK>%U|
z9`n@MN)(+hCquQAGFJ@Q{6%k=h)T2dyj(^qQD2Y~#1k->&NPJ%zbHQzcj3!fJc;<|
zn6xxdLSU{*dnQDVDQt%F)=6!0WeDpP7b`2`7w@XRMO1h^yM&oMiBQfy#_ex(vogJ%
zV-*+v{`&n+p&e#)@#zvW>rA*)l0<7N+%I{s;FF~`r^SGl*7MiG2cBo-D<k`e-`H2B
z0n!6*GF8%2PP$5HaK(tzn#Y}V*vVQh;<bT6QT!-~jD#Qv-;t5lre}kj%;`P)O}|-v
z-WSjwMFbbRH$X@I^uz(OacwX__iV4OwmqOf1ydivf<F}`__Q_nv`Fm|13ONnuSM(a
z4eZ5XcTzJ|C;~)gm}#J4e9QU#aU(Dt4f}ocr(EYWNnU+IyKE}w_bh2SqgY(`7;N*C
z#GF2<Ga7=sQ=w~?A2<i96(9M&T?(^w1S7M6OKtV$1}Rj69d0&`x@;WIP7NWBBne8b
zg+U>Kkcr3_9pME7wbvIkNE{c7HgHp|Hu9UsfK}pdFOp{nlJyK9f@a>2TFDvVLhz*N
zU|(VUM4>_S(?_k+j$1o<sFeE37>M#w(X0;C^wU2!inN|Wpk5Gn*Q#b%dN&&~w_-Br
znmo=-*;*$MUJE<+Guo`LQNcUq3H#J^>r$S}<_~HMM~Tc)6EKPDPB`fp-t4qf-@3i!
zLW-u138P0EA;^e>L1;%X-;&Rg!d_JhFusfq`V!ZEng2Mah+h6&w&wk8O;1~J-RVie
zNo&DF#27j~EZ|e;*E~7E_PyN<YOaHB_yqDsXkmon>_Oi}<z9p6z$P`>S+4-jk>A{a
zQ_Wm+pLXk+z9<|qae=Xkfz;5+K$`2NIAQ*>wSQ(7NmwN1lx(BrEZeAfb6?ggylSZe
z)aUz%rEKAO-QC@j864t2(ts<?kM~75%G=%eJJGx48Sh{tB8UE*ht0mE;Ix(TRC9F^
z&~R&aRh&UO$}Ol7Wm8w@9Kr2_vxUe+D_~?<n?>WAAvq7cld+4#c{j_OGoA8#3T#n#
zcIMEdde*=}SdE||Qbi#63Y^qt5C|@AXj4Tqk{63aO0$`2uskBYf*fO59wmrRsg*FC
z2*lGyq7Vt<Zu-k{^1*o;6bioOWP*gyDK;JDt}(tEc*11*l})*w=ScTb`nmHocMUAU
zT^}Cz_VW={XotA6zhLgj&&u#3{+sQ^!b4|%H34?5m<`0ihpE{B6L|u!BSPuD89lKL
z>LMT0S`s-zjo!BxwdHV2!7U`RtOGQkYWp-A_}llwNhERJv1n_mas4twNMBx8E4Rcl
zVR!pU<3>L__EIRVa8e-8ZcJvEi?R9}d3jTl+pMN&EUgS{j1vb7T4u}ZqhE9~QX@ih
ztR=>#nCPsF)Q1|Fc4Fz6pY%~mkuYD7luw;R8^Ecy|NMS%eI!nzeFS=*kx~83@W1{8
zTs_fR7L+-Hp3I7k;t!2GzuxbRwMLo$690EC{vYQBP=IjffzG#<>Wycl4;g?~6d(8E
z%2zgzjY!X<;bNT1LL}IT@f_|WHr>9R_inANp>}4Mm+}|;Kp<vJGFn=JzTgF>&Vg4M
z@{v$+gN1|o7u_(+BS;8E^fSd&Tmwij#XhtZ<BE%QKOR5_0TE)_W^fB72_6Ru^rTRz
zWpo^6o;aMP9qODbgqk;z138Q4U88TM!gKsco{6Bzm-I3Ovh$!`*|88cu3c$uX{j0u
zN7eTvm^>s7w{q~CND{5&<FlM{706X92d2kjg(R(5E@p0A_(p1Oo#acV?zeqV31+WT
zZ|cqRcNbU`R8+U#Wn!OvzpFk{!4qAw7%Z<*9X)>iyG1ImiT@&8#!3($LXuSv4QfTY
zcp#`boq>i%8^VV~db}-miig@{K|;pvT$pM|;2{?$*kCQIcX5w;*a93X-iGK8R>Vl%
z)G<k8u42sT@=HRsy5uZp=tozcTu+n!f2W?2gF1<@2zV@cy1_&iLnqNHF|RAJ{RPo4
z508MiIbWf}n4*|&tx2$To}kY}0NM~?)N=+G7Z(XlE1p`!UK=r3g<>&;$il<1?)e6D
z0SqYkKk<K-bqNx`<o`$j%cWPWT?sJ6jz^ZyE(6I{`LywwC6R14qIY1geROaa#LF70
zrk4DCvR!~_AWfH9DxdPU_U6;85n#!f%z6n)d{MB)o_<RW{2xR$R(b#2-*&`e5F4Dx
zyp@cM)1Pw8en891Oe<P-;L8D>!sqX|Z5!8?mx(BQbap$wTfs4tKmM~kn~CX7Dg#sh
z1QD1Yve8N&lu2ri8D80{pDa>7h$3AWqX=@%M0NK4`_~3s?6xDoRz>C}BE3XGN6dr|
zp{0jF(Z=;X>2%E?6$kJKEPE3cO>bWBK0N=>0YVb<18I`~o?9p7-PvsDW2wG=aT~(~
zeZx-n^%5__=?XULR+0*2L(jWa1%H&~<ix3#FIIUFLPW}>T1BtPHQN}%tw^7~OF$(J
zVu*h({$aIap$8h3)kEMV$gJLOr><xpX0%zvO&?ujBh?D~s8>xm*_1#dqoq(V3q50H
zu*#B%@Ldn3$a;Y#;DWTzu{x=WQ4Ru~zTli8sVCAiC;!bJp5r_J!S$v~30d~obEuu!
zMa3yBCB5*&@02v912E!Cka@lbPDbY7JD)dqPhifSKhrybSMN*%n*wHHylQ(Nf5$Ls
zy1XyX_x}choqy*6(yks@u7eG!Y+No7bKP;7!@-h9@MVm8par=8y)*q|5iH!=+UoKQ
zmJc=)pRDwOyybq8$RQUG5mL}WF>>tJ)mdquSmX62VUAh4Q|myK(fblyr=%t9!#XGT
zFz88=tYH+R_fqmG^G0kD4?-Ltj~Wf6vSbHC=#UZU(RXcd0tEfUp0C1(6se>-y>7qE
zeE!4|RVyE~w!ovU>ubz~hG5{5(9#w$pi99+^uvpPNNq2d0sRS=HEk=sQlRACJX~s@
z+O1qrwqHK5s<uB+cI&eO+qa$fN4JT#sC7w;@JK5g*%7!6gGzBcMh}WnF!F|_A1p)o
z4&-b#c!~N(@Gz)JEEKq<Cm|s;VH>pGaPZXId{lMIGd4U3hxGxhfug!9uLbhdo=D_i
zUPe#){T4w8L)IZKvZ`Lob!*SisOFB?XyqW+R&svo2!%eH6#}$z5-JncRv4dNYFGQm
zYgg#3pWW`CPzr$mB1kCXlCmeU;=x9sA+K1_Vc9gXlj>sm6tSlrvm)11lN{PU2=E_~
z3AhSTjD|P;ZYsd-ZXt@M^$;Y}#;0GB3cK?rYEhNbhvR^ONR-S<CkLD0b)*9Ri>U3l
zs%6?HR58n+n*>RyKV>~9jgj(#slk_-Ui65#Z^;t^fMwwR2xjBI50g$2wgX%azlvkL
z2e96VK8}ry$jx|@CXCLtcO1_``$$qcGoJm`k7kVqAe9r(3IAGG>I{43O#S(tu<@_$
zPa(lJC;d__K>>kGDXv{Ai29rlVxk&JlDV3E&6Mx7`${!?4S3bo7W}*;W20mH{r@b0
zCGZD-@BjDGT&K|kNkwU#vS*h*z@BsUVaIr-+xKcu*r2F-<@9fGP;Tl50>v9f{{$G#
z5I4MGc!ds3h&xa1I@9R31#Fy$4cjg~zWCa5n_?AK!^54PiHOiJw3Tn9cWgK5QYITM
z4}l=$`j#(_8y`QblPuP%0D?arckvgjg7dO2++61h1V?ftX9^aQ4}s2n=YHFw5jM|o
z{08{%2ByBLbB`E}Rv<!YX-zbgxJCkZYIQ&P`Sog5U@Ulqbk*F#3m;g$^kDoz`J)np
zMU|_7)&_RlG8$w`ePPQi2(yrl?SZ2aq%K6Fr$&(L!`B?QYS(8qX><LOFZ?C<g%uKs
zL=We0Qk8m?^z6CLnHjpZ2FhysTAL59Of#>}G_qpk1e0FBYxpjpS7UT<_A@W<%Ms2K
zY+`i(3INhB#0#yzlWr50*TR8Q;vZm3J}!#?U37W#u%Y;aC-1%1#Lh$a&chSUZ?QD|
z8R6q!fU<G~NUS&i?%qV11I>K<Q=}UR?=!^u#+7BjO10|Z&!wxlhM`}wIB&zvu5v4W
zYL&Ku=Gg2~*z!7wboiZRGmiy?PjyiwWcJ^y)L;7JjpIERj@2oCEOQJ=wA}q7Y|U)y
zOx_476bul1h4F-F&32>UDGE-Rs+H5?urXQwu=aXVnI2hcxF$cgY%aYbM;sD5b6Hw?
zvjGLGb@T{iUB~ipXe|Y3TbmO422~3Caa{&C!O3*_UVYH2d?O&G;F<ch0{UD+x}#m+
zv2_FcnG#si<LAe2mBYH8?3$MF9F3BjVItD?P+(w4PQy<mYooQwbwlu0@%dcBYaOrc
zZ|E*V^%6DpE>&CJ3`3SG*r>y^V&lwx#zk<1Yh)7$7{rP^Zv#O2X6a-7nr!;THK|>7
z0Tk3C!B{_kAmrEfg5A|6^P<xw*2MgX9gG84+AhZBt>7(&nTQ3oC)VxRMNHS*Y|
z@&4&M^=9Qo%D9!kW1*YzUChl5sKdX!mdOvOaWt$>U-l1qwk;TFPaG0D9X;AWXc@Y}
zo8ALG<TNCLnc0+nFMGd-)5rO|wog2n5fu1mKMxZ=aaONG;aq3l#Wx-YJiyHB{_UwU
z7x?a>LdF{6=zOQX+RWo%k|u|x)4-%g9Iu>=GJD*LO1^0wU?(wpCn6Sa6*$3(+<#5M
zCLvW~Hmugo$UpP^sFm7-d2~&6NqtyKWlAwFi<aH~=E1OYY7-kw!9eRj?fswQ8wAK(
z|KK@LAn(l_$xR(y`>cO-vA4Gm2oRR--8a&oa#qmr>y?;#8%`WG!;Rmd5=LN*fHpX1
z@DQRm3;O;yH*6ok&;*~Q3q$?o$5E#bC}~cf);wR+G+LC#&7sASX921DyHPDdSzUY-
z>F>F)Gw~&dz)zhT+})Yx+O^UXAcx7w=o<wuTz7%4Rn#*nP#Db2#4oQ?^yK2L3`OH8
zqqkFzi<XzTw>u%_XxPQmQVg(s^^nl;n6GMY9Qttr|4fv4K6l#2;8a9a<I~c%Hq=4Q
zOERQV!9V!5xB;w{pVSu1r;0&3Byu)a*7l5ed%%bf<t>+{69U9)s#8`RjIaB+6QNU>
zV~MXsgvDL>k!Pf$*ti$0moV*|LuWmG_E<xWwl_DsKzlz+c9V2F;TNcmd%C;-K1~|8
z(00XdD%8&|E()AY0$lcr>~g_IIr+}7ktgEZ-%)U;eyZ&eqDpu-yf-p30@f&FeEyRC
z1)IxfPpNP`&2Ez?vsUom-%tLYi#PusKzb2-=j43R2N$fVb$E_%Y+(-KFtv-tLd}Yg
zAJTqLOicWhl992BgF3(s1VmVcBedSv0_r_0(F5<h=^<M}NTL>!Bm{@yiXvBrDA9gY
zh*Tif2y<jU70+PLKp^l&>-4FX=#`)GG9J<I=Ws>$Af(a5@tDTMlb3Mk(N$_k_huZM
zugWAXtKxyD$4zWTS?H+R+s}a}Fr;WYN#bVS2X0^7?a&f16TJg%ckitnH;RPLBE)wg
zkT%a6P-*Mw>QX%-dkf_aRwso?hAu&<V`)$6OGqMWR0ZAPAlZIZT*#){^q3?cK9`M=
z@RT%T<a{daWWbANir?=d*!Rm%{gEErA9S&Mr9DIf0BztEx4%j<DEM#p<Q!~ZQKQ(L
z4Z|0%+a1e#H1T<C**8-?AnH~KNJ!#{%;YCoR@Kz7lzw(xp|B*_=Q<*72s*K|n!3)0
z-3pX4fzgb-_-{=|AmnLYK14IQIL5_w^Yd%hs`xp1z!VF*?=;_PgekC;Q}k9gv);wh
zs6F4OSESB?;KECl=f-23zS)8q83iijE0iyucz3>})ZJfkmfb20^G~Kfdm9VmQA*~-
zcsKl^IUQcod7cbYw2UE&1RY7>dD^9gDrL)!Dl@!iyjB6+StU<nIDV-+c_p&Qr{Q7Q
z>Kh!e%hBZ!H?kMY*hEy;FSv6Dl7e+@ZN44U=A0y8amF`HuhM2^Fpg%mBnMXyS539i
zh<(M%d#;@<ztZrbKQvlh{O?co<gcz%_=kF4E6w##s+b9VR=frl)y$WDG_9N(N}>Xv
zdVvi9+@}NnC3JIOH=KT)5ijq&=)UNFSoWK&T8L{&sv1T|MTI(1*QBbNv)FLCtxCPZ
z!%Knmzfvre;uL3EE<t&PYE^-wO@DwxzOO|3d=(m1%1JM<nr^MUEc7sy)5_s<aen=<
zA3tKLn9ktWwEF8|km0U#vG(G}@B9Pdo%%Ciki(YleG?bm#3&hRe?&LU6Wokat@)DN
z#RIp#OAFCiH{;o9A0g<cV1%v2$XIN&yhd-?I`hsMMJBa8uyAvAy}S=_`_F>0xUkR2
z@=Ru;7B>V*=f+^Jh3e#{#c7ROK)`pv`!!5Ac2aW^bt=3Zv!dTjX!-%37U!d3FrV0=
zVDFY&E?7<H#L&~hg9wFng5V37hO`^?$ZX?An)mHG_g-Blo_Lom^>5;~w14=-=igUU
zzWC0G$;$qrDg4RJPPJ)lxcx#RAn`aXFH-*qo036;n%Yq-AA<IoKB=k^lh&O-5_zGL
zPLj#SCQ}&4`xNusuopzHJZErcGh9Q9nr}roFa}q>g?37%Illb-_2)?ZO?^h)jDD2R
zlo7knASVB&>mcUro64I3I<SEqiX9jd{j`6w<9}M6dky$Z<St!Tzzh-q_|YCaL3hUA
z5%c9U%i8^}ZFWHTIapSSMh2|Pm1>py(Q%KcEFwhrMN<pSPg8#$q8piN{u(hquL%UP
zi?0=nBKT;Jh)7f>WvmYToU)^e2s>XxfF*}3X)G>2Uab7<hMyGR-M_asxDLv}l*lGf
z1X?j%`-Bk4xPrUk*WxCudY8kbdIU>WqQG=5?{s7GccUD1ejUWeV$gdvgu=WYx!jwe
zH-nLwv+2@fHjNp^-mu2C?}P<O9{S|^Nm?V{*M61dK8{q&=1xoW5tvq#-qES2NR6jC
zLLjcFHZrlNA?Dn0hQ$^oZBm}aoV?7UW+jUU%|-mo)=zl$Q^!wxK$pu<@lr&Z?Cc~B
zq8KZnUfn%OTwi~CFJ~m<uRp<_M1Vwf7j3yhiDP#96;Z=qoMGX_v#Z6RQ+0`<+N*Md
z3m27?=J(A(f&Vt}>CP5V{TeqT<~(~g*mBk^JHsVOiR;7;t=n>z->R$_pcjNAfaBI^
zaUyS?>C%#l_TbAXX3EabSK}*S{dS*=vd_2?n|ZV%J^fooaKro4!|yaDp*%heI(kod
z(0Llkcwa<ivoEg*y)a`RT<7!G%66k>eMFO~B5^M7sCC@1CCsEEC!ajJb~BPzvZrB8
z89zJtajm%rl5)HKVGV*Q5PRgwToIgfNK^QiBEs9#8XOyLRALz+umx}dFpoQ8TUSb3
zb<q+iLlQhR?w?7EBL)M}%aBww`q%ie;_!C?cMpVfH?|5>E0-KPIyq^DFtaRh-XGtm
zk)nz)FuhWNjiC6HS3YFh4vO)pdRSOUDV_M`FK2t?E0r$4fC`I?*Am~^_<mktymPRw
zBrJTbL6EGEru;rVzd)UO4;2#y#6WypeL8Q)4rT7bCl4LwwQZ{AeSg<_8{e(gTl%}X
zL{5g&5QZ|QHp^2oq(?^|<JpT-Y>2$J#(di<xR&=ePCCMJd%^|}?(~R*oP=Z*Y<}9S
zkZrU8RXRL-LVAAO)DN9PzDoOdfu=mNQ=Bp+Fv{2HXs?O*^l^0rN)FvWKOYGpIojm)
zWm@8NoYH;fvU_kuVH$u+j5j$s2|zMH*bceW+UU)w>k;UcQX)ow+LcVx;@|RIeD?3^
z*(e=&hkSr5+d9Me_URwQ!BPLToNc;EnD0W57sE5_OaoSYzVZ4ecSsRx)cO(9jLXQc
zc4#nF1=$W&1P^B32K9=q#3Cz`^T1c>ROswcveaP4e;D&Jrfpz7wXinbpApq0aGO~q
zoUi4>7b&N)uzyakr}dG+Z8tXu_nJmgn(p3HNK`<eZT;^r@RoJ2!%_ImP%L4MWB$e)
z44+f1E|uGX>8e?B#eS$ZY!%x8+s`KK8R~q^F+d>%B+xAe)oCq(aSV7do<hbIIv}&<
zVZvXUnwnf3T1U(KQIeKgmJz;25uZj{0*Qd6M1WqZNqU47sVt2smbRA8-uD3EKM!+s
zMDw5EvH2$b*kWepkJ__d#x&uygm$As6&PZ3K_S<xjAwYDT0Xz=e?1u+jZuw|1Tiy+
z7<1jYZQEZNHZY`3!jZc4e&^=Al7XDvoO(eT4OH{C*Tx^hq`t2=pB{}?MjxDuOj9sm
z0A;;nB@?=FKQF}7FH|G7Fv}yu7KIpN-|5w!Zhcczi2)Ch29a^F(SAy?+Vvci$Cb>^
z2Fk5T&>t&A#)@n+;8A&KqmiWeH_ibqkzH9{g=_AeMc3YpOoeUu2%gH`Rm&IK2>ruL
zikZ{YM6L6kUQ?ZCJPIC^aQjk@3_)<I5{i<zjDwsyBRpe9M}%QvVe$I_W5KGkMe$P=
z1^+9d=SHDxc7pu4Qht=EHRs68`<8BR9<Y;oeVyfh6O*W)MS(;Hk>Wfw`$*@G##6?N
zS!&Fn-}|P;ls;VlZlRYNMP#-y^OoRwYkgMP;^%kbN@fBdJ}J(^KK`&?WF<gzT$BC}
zMlZaciN#%<?zkKKW+CY?Fte=RSXx?o_P!<75?Qf^VmLslDjJa<J%m+Xs7@wz_6T?0
zEmy$E%Y7vh9iB#}LZ@;tzj!i1js9UnE3c(VX!G{v1vAg*Dh(!}Z$1*7^|7)F_b`!;
zqbT1d5X&m_##aoDlV?>;@|;R85`ioulS9xtpeWfS5bBy$V+zkmc}m(9uQ$Ohr^K|;
zcK-ey8)wVq@hA&%C=mL6G-{N$9*KyeqD{;HZ6|{f%}tU#IDh>?w`wK$Y(?xxQi2mW
zyU)x&Nx8-E|LOgA_b>R@;4=UP2V6+dKMv{z$k8_gPX%+!hI1#NU4iV`>guX0|JKi^
z-qjk>-02PIFh4#a?Zw=`qClLsI&P|6f=-|Poqtv>R{9@CytDVA^QyPD<6GsD_<w|Z
z@jrv&M#4*$fSi!)C_H#AO8OjqUKCu808rr$9$N&637fmRK+m_f>&FCGo!;>)@>CDN
z6}klSnWy$PbT{4587AEGdZWd$w)-{|nW_yqV@-cz{aLdJ4D4ESYAM8*)c#1I5E?R6
zidQ3-HqM~#Ok@XJZh5^yG0L0~prs@Oj$QCrAnZ?Z#@#IFi6b+W5)l!tpYh=?9r;77
z4saGLSE{*2NVz46xbs=vCL8vmr71YX`^{pDX_DdM<z#{toaYt?Cc|vNTsp;DXqp@9
z9Y+08_mgc}Gu;Qv(Re`S(ygX5j#LWSL-@+@m&m7>>4%65Kv@0M9Y8g*qy3=I5tYb=
zMF#cUM9m_2Ynx=*(4S8e=TtKlg3kHS@kKzbe6eEXwB}T|e1m0y1!9$MGjxU$YOBwH
z(8{+#MN*F}_kG!d_$3)@`$X2A*Un1!#K@*ltgq>BYTAvKoar)Ck~wq_8d^&gS7()T
zCIYnL;$p7Sy$>a-WbY$=j;ZCRn!b^z6K5{>kwEk{1=g!jNnhfEhV9u#t0`^M5_*VM
z1@GxuzVWu<WscmcS`mi?e8}i`!Ftm0SDNU|=e%L1m7UESXZi4<Z=*Z5*prEz(kTD&
zCbOb79mu1_5xTS(vGYf9m}YLD=D^!8O;ngL8}MqN#Uiv3`S^=mNc*pmsGe%`n6k5j
zw|(=#lDW`axAyu&u{-RWE4?boxCC7002)LnDWqtNI4*$)NJgAnJ0<1i@)1iCIr=sF
z@KRY<RmeUPkls7p-izN4TX3Pgjc_%5<HuMI)5~EmA^IgJGYm;?K*XcvZ9fEwxs_96
zPquvh*63m^iLW0UzjcptX7cGIMwujh+;Xnnnz9_2*R1X|U#&h@<{S=%+e^kl@&T&q
zqd)aSe+d{+6GKes)bj}1$n<wkZaK*f!ukh_{>r@QJh-aC%u=!O^!zzMOpA$)9gu&d
zQxjPEJA9fBo*trPL8N{1KBJ(Bf{qpo6O-`WF!-z55v-qSW-xJMfB@cd&FPPG6)P*s
z-ikRh9Mo9)B3h&YJgM*@NQj3sHzIN6-I20@EdZE;m3ski0oB;*2_hCk8bdLE63B9W
z$;@?Ej&lcd86j9K0X?N_U}S3D34VBT5<YdQR!joUP)FZf1ndL=VgNP-0OxuxfC6Q|
zb<=$kOuazc>T1cdtgNi2=l3@NACaMTTY9C}Uh~in{1s206g6gCaejWEv*r~l5#L0v
z7LOw}i0>Z&D-QTx53q*&pvA4`gbE}NkIOE9mjN;xbJT77*9d=&GcG70*VbyzoM!KS
zw%sfnUiAKZ)M0rkB;*egP#mnRBEZ1%q)-FB?y%m!8@-~RD%jETGvIg5ye~kC1AyQE
z85<e>6uDTNU<SM1F5(3)f`)){MAvhHPGfREp_hL-|8m9X8t{)mWgy<3c<LwF$2)D@
z=}jr%TG;cM_E?b^DpA5K&5BV18oqu?T1F}yy;foUN)^Bs^Q&hk*F!bE0TwDDPbrST
z4>L=*9>Mf=+5qdB<*m%u_kn)WEnFM?`rPy@KD1O;78k}T3xy>3k>)5&yoc#~0~b6$
zmj^g=b8;Mc$@1h1j3zG^RYrt`WhD!_j7HdL*IR=82Nh64qqB8btwN&RSg2O7BK;IX
z5D*FlA(lq8_2Ee^t_%^*<{e@ypZ#OGmb0(3GSE5~%oGviRFFEbNq5SflMi@PrXwC#
zm${$qH?I*bQpPhv6wpvTtu38Foh~kZU}8=J<SBq_CB~D6h?1<B;D*}w-E-Xw5E@NP
z;xFRuv;WIznkuOG>|8`)RO@;aE?Lbw;fzH${H=L`%n?$v$`BDKwsU&3?t1@I$BbP6
z^Go99L2gRckR&EeQFKuWg`}MCRBpMdN4tHa6NSt~k_~e{<S_rp7Gmi=h4_|_4KJ{;
zMy~SmncUZuzBvyUFpj|O1=--cQ%}ggoNfAKfl%71h{)VyF@#Ld<c#HWMP2H|O9og6
zPD?dc7J1kQo;;-w7%?fj+>rF|nw90#CH5wDdPqlsz}%9+vh*n>L1>&_np=|)Lmm1_
zUXicMwtIEGp7D=%&$E+CY<H?izpn%z1>wA;<v~uKt5jb9je~zj8#ol+bxMy+naE;v
z=@LCWN655*tswYye-pbX`PFHk4e;k+SKXc@m_X7Ab=AAwNGzpKrt0Gd6s^Y}HbRV^
ztJ;zBF$i*~#w!LKq~u-qC%BE`W(WhH8}1k5oBUsSj|Fu&4kAjkN*ID0snpMefSI^@
zDRzE<dC=Vi@^z(Bt*Mb8LE<QIGAi_VS`)?cjqlgO-sxB<dF<x%k=Ws+(_ly(GGkRh
z7kNvKuD;HWX7z-7L2<!(@%wX9Q~LL;-WOp_hz|FwUv82`;X<$jcj2F02=SD{|B(vx
zf)DgSyXFHpj?bPpuc!HU0)b=(|J(jHKrZgMPqICg%C9#VKd1-p;XixoO@rF_2_$6r
zezE&u>molVCt%vq#AC(SXBeYc{#nq^C;v=wf|&mgxb6EHAMm7K#=fX&dpPgh7uk6N
z8h2fdJn5dm&pyuh^uR+_j69~Fo;^?>fCl5!uhBE{J7AtYP+9hFISTOaIyJuNIBVH3
zxr)`Riu@A%<OvJBo_+&{Vm|xt`AtCKZY#DV+utsH>9grJ`ovHHYvW!<(;d6u`UK$w
z$n_uS+*s72fSyEb4$BZ(IQdDaXH?JI23kuNQUGWU0)@W5zxE8Gj^Z4ezXATB*i`I9
zEI+zgz31Dv!R1M$JU})Z9I30rokc-HGH0-IbVP^NG?yt+O&XC)n_p*%DK24#q-<9m
zM(wNS!^F;U7u37u+!<6r?_QT_z~J#AG)4m-Nx$GM`|!s}ceFsJR+zI)PmJP>Af2Rw
z6+$+K1ROOzl0+eHNM9_(wfaMkL<%oRvn}x?YaE}5NmH5ff0k-ng9s;{=hzvto}G$8
zoYoqKTQYu+Di%fC@a0faP;~Y2Ez5>4{|555bNqzzW)}IP!PN%y7+r0;Zw9Zj(-(wT
zF*22`n}3pEx2l25!gLP5Y2A(vfow9hWFlHuinuj`4S}!0KO@1*=r;4gNEzBIeJ@Mw
z?+T2hI4H^?WS_6$L7|AX&L*}BFPxiY-wNtH5ZC76$J&$1B+!G#AQAjnRZD_LFmO~w
zkYGO)7Rs_>Wn`M3nVGnkN9N^(k*8iWdxrLn>L8>S86ypOr6yG3y%%FhxZKQK;)sSo
zD$UW5d`xB1wFzVa;tF``vojZjP>SO|@(=CeZoble2V2`!5lsBpIM1G5(PjxwNGW$w
z&`xP~T=|?zIV~<XhM)kcid2N`(q$whB-9qu8MCBSE>+&TQ>l}PwnkUu8fYj*C^>#W
z@q!Zhac`M!8cy4AI6s?ibD&;ubK&tCD38TKL4em^wDM#lu>=<a@B*%)W}LmLuw*Tz
zUa{B6H<-NTyp&<8K}m3MNMwRV@eT9teNIhg62FMFA)HSB=;oC@m#cB+pa?#L^N7Hy
z*8<oH!Y6^tDeZ7a%h){cG^MaN1(Ahc`%s6+_{X(Yr0dVPZ<TlBxtU<Rswr;s*ciT=
z=o4KiIO6ngj}b0JBV~mk+u{#G+1h*HvkZt`dRi5q0WqvIn~EP}f3e{4=YE3t<5Puv
zyW!Fc4#t(o@fYAh0lY5st6tnI%V!U(Pv_y;PVYZZ*ZKk?CMrbyHz>CMN7GpbMcsCB
z_|MYmQUVgvA>An@-GWjA(hU-Vv`f0AbazThmx3VD-Q5DxEefdb%`@{l<3|UX-Mh~D
zo$CVka-ci~2=|KnzF@f}y}aEZTm9MClvRzm(^%XAS1By+T2y)ltzeJ4TUpQbj4zh~
zs|;A8#6%OW9lb^xvbug}(;R#Ciffp3-8rKuotxM1;AN3Bf#8I`0WIq{J#1Iu;o;x`
zplYLOCzJuXs8HO_p##ut$!!;~z4t8Lkb_71j!j?+7x*}<!FLazvVKPHLKg3W=;?pn
z(W-r5Ma|{baYP_y+8xmiv6CxDJyeQ%(%hHbTL93XO112RLLqq^JyIVQ!pUJKb@-m}
ztDUlQ%;uDRLs1da>eU~iK=VQ^W#ZHsvBGB=p9~6<*hinDEsp_neOQT|4jE`AUflfY
zF`}g4AFCY-*>N$AurfZ(K=##-slgz9!iBszIP(kD3hBy*$?#f<hc8~2KfMP*<{T=J
z9N}+lH3m}>`O;_hAS$U++8i@0Fq|Xonx)T7TlwAg#~bpO(ge{yc?M15PS_+5tP}eO
zI_}|3DwPPM{n<j*yl4>#69ESG8MF(DkMoW_`R{qzElo|=LMDvpL3RR=BqH)fJQ7BC
za`@Bw$x-ECUX5IFN+C!x?U=vX(vFEXbq0qc-@R>hg!53vt4tL1&AS9S6t#;idymA1
z_-{h~bS_uwI+&ZAU(&tjAC1}k_J%R}ID$!naQw=jMTI%_bwym;)8hR5D(e-r6l{AD
z8}T(YR?+iOC;;gPbewWll(mCn&#I&=5vl@23xfS*xsXzs=etMBII^P|MJRDo)OH?;
zcH}+X_BX&803iFpY5xXQbL6uzD#t&BOn$KHA}>9Qvyy~C5!Fu7wL@!1!x`KXz7k0)
z>KYm|IHAq+EL7YFk5UHr7who|LBU7;*hJs!5x#~2Cx#is2SMmdHsQ#~kS|MtY9*5f
zhpXOC;Y~4D%H(KtsZcHwJzZ56pA}n>HxxrcHMr+_X0QY(OV(mEOT90=SAEEein~<r
z%&#q3=dY$<OShRfnc6utBS%SyVmtT4S49L|Wv;k&QNFgK6>rX3sr4E9Lm_ZLvjoL{
zRn^j!vmq+@fQ1noJ<|QS(TO{(6sa$i@p#bzv_nA8jXcZ{xZ(KI)bg}`{boyT?La!^
z>G&K&2<hekc{q4{3KIfot_MrP;;Z)G+hC2pxJxo>xY({<wO>89c#OPLL;O5meVFnQ
zRr&y}4e*F0JB0!UU##%)@zqvWS9|hE{%QsM0f35LIAsT~SG~8FdJp|hI`2BeHb)&&
zI}0Q0emTT4@TIr^{@fkR04Q#x5AOHS8hDwDmV0yIjEo2V8?upnA_pF9clw94)ok40
zUo@E$)8Q6}K%l$TpRsmF&;`uRU$BakiC)|({K$M;d;5X&&)1H6b`i4jIIVMWc2eDE
z7?RW$wfX~-S^V#VuiK>r1-FEfaz7KI$Ne@u{QmzeK!MDIK9a(qzC`~DMe4L_qHwt&
zY19*)cJpvsJG)W<R~eonRi58jV^X5elZ6+;IXQ>n+K;=2d;gL=slt-3L_^m&?&!Tf
zk$aX?jw>+!ogBhZHmVC@934{$j!m6l6(H{TipH4jIUy(~_W(td9DxO045h#y9f?;Z
z1*9vG{|k2iD;srLfxB?nC~@(O4JT>Fy)SRFYDl9flg4fs`7B)rJ~tS7*lCt>E?qM|
zmQxom0|$Bg=T@J9gg~KykXoWz%<1joPs2(fF|pS4GY{i8*4E5;PrPkIrKiwsofotF
zEkV5#j;1{@cP=F($rGo<1IZ#os&##*PyrZF4jGR-qWR}r`;WMO%VbJ)slBKt#P7-2
zXKL!BtnRm<*4nvo6uPUFw(}+1T%WfL`n26upz*tYycVmgt21=?aHONcR*GfI+{WhV
z<+rM*V%1hGrvljpu}Sj2!Y_KBl4gi<9BHn7HTBg(5wEM!>BA9wMtcD|eSBPE-hLfP
ze67cO9g;kGgf=4<!0(o{4yH?04cgH}jI+=7kZ|#U2XcOkqTA4DC;gA3pqf(UV07b$
z35rh3M--$z_~;e*2E_RTeSO_H0$6lmV0Pu*J3TSq9N}Xt7nkbUeL)}!-NlG-Fz+Be
zK^h=Zr~J2C5Wzrtgx3|>mv0k=kB7%G=+yS8?v}Q4p?y0S291TFA)<uo2iYABu6*7l
zT?m#IIKr&-lW`fwpDN%$$Pc|ZV&2}7(L{WjxOy2vFU@xEkq7E5&r0#<|7F6O^+-vc
zA)4Vy8N??bcn~&zXQtT9>_w+GE)khj->%76=S$;hP@*{}_IEmoV;@m5QDhSo7hgQ|
z)bqXchO#=B8w{N`d!kb`W)8bUyx1kxMKW!df98Ob2i6hCpm@if%{+OUi2#o;akE>?
zqNZl{n>`C}0J#+@6{Cj8Ex_T&B67l;<$ZOu%<|C*JSM<H(^O)SVncM+lK|XL{{#8m
zEUrodAJUm3fIL+cx3Y>T796g>dx(L!laHmOUlH^c6t45DPm}ZV8)2QE+f}wV6RLI&
zQ&sF?@zg8P%NxBz7Q3<KzGfdz6B!{_G({c^ZRSqfdw3ToSk9x3+Llv_`A^_52GjP}
zW?RPL_!{nNVTcjB1nk|1!1F`5TyTdPO@l_bjfyCeHLCC)1|jrQJ9g5NwHuW=r|~eB
zE;DT$FtCWiL##M4WY$`_$`B~AdG+x_5v<=4h+@m9@hw7ia^zvB+Tne(e_qeOUL=aq
zn<vZ+lE7wfIJ!93*$Q}oCes0NObljobE;kW&Igbo>t}Kk2{C{yVAHc?lE|9dsU+zE
zR`C22O^^4glK`SLv+v=5A}t?g$3%fZJ2+aM{cf)70LZT?xLqfp#@!jnGHFPfKQ@sL
zH{wdZlBy}3`ueN*`^135bH_#J^zEK#N<DdY(7&BHLE?_>dAxftYDyZ~R|s!UQo?ra
ze`HW0PaX#3?p4$c9PAmxRmGS|+A5`W`Dd~m)U%FamwUXK<OQO{viKDP7|Iw$wi>85
z9J@D?&FZ+OB=<eOH~CoH)YCk809qni%X)l%s>0Gf1BYl5&y!>psT6jtEcq)JMW+So
zOS~sAC!cAIQbp<a%(Nj&aIqI0ryuZ5X9Ub~9$P}nT%@!XL&PnGd+#h=kRd+>UC_|!
z3DZ#r9`GnH<OZsxl_fShKemax-FeR%A(j;rSkJre`D8<kV^3k3l_qT2s=?M)ih3G;
zz{L%RxSi&~1!z71oe&)iBcl+e6{o2&=ad}!wiCaPssYz1pEj=YNCMRt-{69LBS^;|
zFG!TuA_rWJn?UL8`OX)Q-m$UR9q$<asmpyuS3fNp)wo`1JK1hxb@w?P4(ou*<13IF
z?c$M0He(!g^I??u8uP^#YfSfW{Y3v8kxJ^4!zDhu=Nd|f9C|N*CbtMUNkFUG(8nlO
zgHIljeZNw^OqXRdH-6j?hj9L6t4847_m?X#1M=@dMA9(4qecz~Kfl`{hmXj+^F#DZ
zD(EZBQ-_>Kjx&Dvn&Gh(m5%-XOeOc&UY{yOvK3uE8Y3d%>H#)Zv*a@Z2&tM1Rv4vk
zBTJXZGO>aNVE4#T#ps-vzxtgxK+AHkr+-g}hU#YJ6vYO)W3(umd2Ck=nya8~3OsM%
zKyCZ4?jtIi)^91Yqxha?xz=hB*E~nGm+Y<M>OY_=nP}y*_J{9OnA88kMq=hv#+-Tp
z1T`pbwOoGz^xcQoWA8>rAB-~mr{!orCXR#CXAJjH8*u$>9TERe2Azyj+DLJnl`gFa
zwPSxXKJ#kKSZBx3so3`nYi!ppTRi0Zj-4Es`uCfFizzLF+)IejXDB!Kp>kJ0J~=8X
zD$7fkqAB2swOCO$HMB^PrwT`bo{V%RK1F6if?ml)1jKYoxDXOpkrSh8_+O`j30t8I
zaQqyvw26IRV-zL-ni%n}11nWl;3+@G((%Va1XjJ`GV(St=_HUu4x=svE*XkLAHyz5
z<eF5CAM<r~c|w01_U63ZG7vH&$3S9Pej=dR0c=bna&00d%P6>P4@9f{AV!hgfAxLa
zRrnZx%xt<_t{Vws1Bi{dbn?{B9{`fI%UVAQX;Rnb@>eXPs)S>48G1H{>56z!CMNTp
zjs&h9#eCbrWX_s<Im6bfMH89F!i$_-RyB*V^wH$B=XiC3Le2+s29J`sTqmMud;$Uj
zimus4nDLKH^z~WqN8ZtA8x|CSR|r%y`Ijz0y`#<K)djm`qOX~lya`%93aZuPg23SF
zkk`$7MRJz3C~)Z{S;A-2>j6@mBT+0_g$K=XgP#>l<WS0(A2IALls$f+jxUFsp7t%|
zVJMXs%opY{NN%Ral2B^a)sJHr`4^>W?9H+O3T)e}I+3;BFR6e=WrI)p{yrf4o>NQ4
z)_=3*!(QmS{yMY+IEM0g3cWMh$(TX>bRmo!A07o&g-;MU({{ksESG8qIE-5y_h;$^
zUwm3V0>r}w0`D+0JOYC3;NrE=5HoT>uC*-A19KTzj7k)6IyfzPE;c@mXW8^#x5t|3
zPKNNS`?6H8L6*@#$x(GrlA%b;OM)_Q*N}A5z{rFP4-c<m)1rqQ^o656g$}t%zRHVb
zS24=MwEFOI5?WVh<<YH;i_hqz*w;zvKJzdwUEc}h=s6Cl`LlwsHnPH@oF5Czd#?=}
z`O55Gz+~RlscU{mP?%o~+*ZwE$W#ybj&8ZxIQO+wf&MPAp_zu1sZn2SlZ4<v+Newg
z7UW6Ww*{)Z7u}@hUQg+_J2@G``YMU1nBe{-Tj8AhR^r_>$2L+o^B|}wWt@Vow^N~8
z&hqy4ndwld=vF6)R+nQ|952l5`yB(lo5{zky9tB;s>m^4Xx)x^M_hGQT0Qpfa*G-z
zb?xN_WR9!t)R47}O)#xU=Z>h~FCIuuLnHg_p0LwGz1?K-^uOgVZ~y%^+P=1!?x`HT
zgb)I3OqCKnkE?XWBVHa@Wpjhws>ko;8)6tSo+w1fW*(A0$b}slIxwroM*`9Iv*hcj
z?B_(WMj(}Pv3vh;5y0?b$%DSr5|RdD>8I0^$`fYR?!IYSoHoozm6Ki#|K(aEHj;`a
zHw+1e!;{dV4qdee$`gI;Jv<r1*-4Sppo4%<Cdf}4Iso0%t)M9!vp3ULo}nX#F>1FL
zA`oHBI1CI7{5@(8D>Z=fTvV7CAjL=<h(T-DHH${q9G`E=_a;1JoD3t(Ob*$uz2Mqx
zmaSz|C5j30M|_nFf-X<*oqB1tfCvKSy+ljf%tDeR-3i@^_xYf9f9NTy#p}0_FmCwf
zlku`$is(mInmJDuWvEYfibUaXEzn>x>WwUvnwlD`%|*nCD!?~yxmGaqDB-d)By}ln
zbZf)(H&bM)(WXd@et@6!FJ)C&{-j?sAyZ7fu*=BgNMd)rG`0OUk^Ay;o5``7qmJBC
ztrhOhXK*1&pTkHD@vI(_abxc$=VxH)lKqw>o)VUA`mN>6R}eKb2y4Or;gYq29MvTe
zB{L`Ig?5=<%za4U2V7Lu^m`m>%`?L{kF%!x1F_4~)(I;vJPCZG>?W!<<Qd9R|MDdl
zV>#Mxdwh$<v=khUD<%(}>WCfRQR)z_ZC1QMj~MD%pwH5<5u|80EH&f7hd}?69aEwy
zEl(k=;f7-;|MB~x*pj-U8UO^+If@wlY21Fy&B+PO3o{~#+j+xGu;z$QmLu|?Bt~Cw
zgQO%12-Ojqb?}oums+2^&uwQZ`z~hFC~>P2-GW2chB3+E2VWU0CuLk8Z7h_AU*7&4
zl%>F9+TQ{nsP0T2PRR_@=3sebmRV+E86`jOa9ZA%c}jd?^pAGyoqCg{*JG=Wwa|T;
z<`~e&tH1b#F&G}oVj<uY$UTYL>ByAX5UPfzLWC<gS!!+^6`~F6FpRvoK<2X^Y5lkf
z_yR8e6vM&Fq*&BqxyBAUy26+qf)@|sB0UY?46A2pD6(D3;vtPT$Z2Rijo<wKVWw^y
zXD){zN4f43G=G#N#$I$WX*yeF404IWcVcgkG)@Jh;egtkf`%CMue0=xygv^Y-<(OD
zt}QJ5+WFULxOyI~xwBXPQPS)deX8Vuiu%`^wtZu;zDJKh1Ld*r&x+%qY^kc&y+?z!
zLA1Z_v?@RY=6R@ir-6WIj~<_FbR8Tx0?5nAC*@=v6z}YZzrKsp;cOLt_GzeTZcf!G
z0SB3XSj;{yZl$hjXgYgj&9Bf9ywGp(mJQm(_k2uAbQD<X1Cw`$7GBeM!!>9~T>sIk
z4$&seXQopI^B!E|Yg8Qq>a!l2_d^MSawTW$3<Aw<Og*@te9t7dMaPMi4nd+}A;e@g
zzth9*ZFPQE7**&WM$suUZV*jBAf=Z*va*^IK8s7TC?(Nk#OtZ>lavw=U<^SPxK+0J
zM37DF3P^+22HiOu1u~Hy{yR?YksuE*uj}@{Hz7kpzlfYu*G5?|w4RR4Bay}KY`Cu?
zhW4NX4TgZ`?N>kQS2Gl8JPV95W1p6~c-Evvn_sA1ewx99xA|ZpWG5|8vs-16XK&bt
zD}^7=LRx`<Oa=~WP9o;RqQK$>%F3zzmPWJqNOFrXv$@h|Ek-n;sQZmV?9vAW*DMdm
z)%&YNj#PKN#&i_&Peb}`CAPNW+3&R!M9*)vIW;fwM1k-8PUe!pFlbl+DTYSrcafM)
zk^FJx#n8f|fg?BVzURl(5F85<v5m206UIxLG2|J3stWh7jsy87w&`(cSUux2Z5Tqn
zedeoq>tKC<7v9_SY@1v@yeIeHOo?OSDDYT{J;*gnaqzFRPU6HOq2n3R?k1e%e1HP6
z1|fc->u>=pfsfCE$MUqw0#*mbQf0%8p=vY)uWP%G3N;K~6v!JMQzkcHRRbZj?EYxv
zxP1e-d=K$pHl^MF5LnbQbOu32oW;pkLThe|joelku}+H~apk*lB+aO0t*x_7Ual*1
zXiK$yUw$lq_FsKzWCV_!iU4WU?R@KGAA>!^^!V@k@atHSJxvY=lXB9T*+6c9*T*s+
z62y?cRKr4%4mvTAB_bwC8$g#H$x~}+&oD%o=hm<hN7WDuNOJkJ7E$%`KHX{gGEfHc
zJTy%5V-F%@c(JgD&=Me8ihb{B^LS1!$r($%EHkMElaIpu`~`{mMgEVS3<5Zn&1A0*
zKg5+(^-g+_?@^$e`XyxVvJqZ7(7#BQlYxI`t?Z19wB)1Mk5^)I&{5Rw9VC7M8WBJy
z=F{e~dY0S-`W`vWz*7d?lD?p+`Ef9F_T}3@C6bq=cLo+P7vg|Uwh>265b$UJ<-bx*
z|GmFA$5KEXZ}{>L2nF5%WHsf(YBBP6D-y>f%Pu4EecyK1fHwdoc4!JmyBiJ2-Wejp
z+fmB+yp{aI<g!f9|7TrJ^ru^6ZBXn2Kk6~$_j~ZAiFm+|vAkb#t-Hk;Tq6S`EUnAV
zcWc_)z$8%Xm-CM+hQy#&WjD@g;)$)1T9fQuiHor(KrzlOIle0*%r!SDXiTL}*K8f{
z6@rvA+~XPhlWoWq#eDwzmSV!!oZVm-E9PoyJfdC>hvHFZEPqTCZ+vcHmEH?Y$=}~6
zCgOdH^*nEb7*MmT@rUyp&iQ-D`MyKCN*@Z>(LC|ps~#gQ79V8@If<1U3XY!F&tNbT
zH|F90L*o>SffdQ5Z=L@Jb!M;t!1TR?qa%mpa7_*GVk53ac(&nB@4>!D<@DZkLwM&#
zylq>xr!_S-AWGF<NKaT`#Feqgz0a(ZXGV`m7*XkxlV-vj)gZR8{(&kjl`{J~sFD#9
zz|(PDq{+xT-Mnz5h@CTz!uR*Q#iR@~E1!=4(>{Kj7Rd4yIf&Jz)$pQ*Q4%V&V!Zdb
zL8$v3a?9;ES-?8kf7Dgb37hkv0tug#<|_i;qRQ4+1=BAtR~~Z`c!hR%2(fasylZo|
zcy796J)Uft!hKvmyKnP@;Vyf&0G=~jDKFbCdI{V&2RrH;W)P-p{HcT}%qWNgAuayg
zq!)EWDK!wU3<`{QEFJj_tx$%&>Pg-cMrtBd+CM`RN~PmGQLn|QZ9S(3(bC_ij?BpQ
zDp?uFxqD@&mHG`V#qA|VlTO-*)(Uopo?4n;2m2npJ-jZUly@gqe?M5z<;ErYFV@8G
z^Xz_u2Va0tD7?jpD@i5oH(gvM+AjW*iqlfFtEJ_4yqr6kCrH}b9>vLB{!@4$wLm4A
z=57Nk;omAr>0*QmQ<rQnb6byzjtLXgn0cRH$OWv-z3%XtuNM_{QlqJ^$`ow0&t`r4
z1o62!Z8YG^Tkw5cS$|kJ67?+P5fv7hP^<6xcs@1P3ph*~cI)~$iJ%-vjs5X4dcf?G
z48uG>JAvw(Iq4MAYYyr>HZ7YElVqU~XJin*y^oQma*4;c(fxs{I;XY(Hd?M?b)JTw
zdT_KrGC~;sj|U9$AvLeKwH7%xoQJ2X02Ayao2LC(Q&V%lyREyY3soU@O9p#!af^7~
zl&$nSc~9^At!48p&Wp!GjXWvVaTrm4Ae=fpI-2ua@;A{46@Vw){5%97_NMq%l;a|=
znD_h)yNQsbWV`qIw#V)IF^FhAKK6dEy?6QX?H~WE<))vCKEOtM*Na{8J$}3>3OXrz
zU-q7V#OXRY1U271p_@A3K?{C(yVft&cIU<W=soOEKXd1J@CI6GuM?2iaP_@QF?l+*
z3M9w8J?X?8^;9m`Up@D~EPsg)-F1)xE(#uYGk`jkaKNT8@N<rOhmw)+G?N-8{};8o
z3OK&1`gGI^aHKE6fZ@KPf<m^FMfCD6Za5f&u>hg1<2w}`+1pdHrWGId9X}tRYhYZ<
z(B8Y=|M*2f^(u$OeEah-24c*^coe%HZ3-)*9C41KEIrjYj`NsQJ-n0_tI>J+I^Rsw
zu9A=tj<6eJH)BH+(1*!Exk-d}G%aPr<lL|N2=MSSThbkjCiUNC7eWx0lKsnI3{-50
z7=^cz;TytXxG!b6Pr0ZJ+y_D5rJVjnm|0>E-$+nBPjrV8+Bc@Mq?{;trhp+EJKqgG
zZkX9O#_7DgJo6f_#>;-!1L@rUaYPiQY>Kzt6#G?rYGFtUt7+*oG116w(bZZj)ix7N
z#`KzaSrWRqBsFHhWV~IiGaQNp%RTD-`{Osu**kIYM{${fm7!ZqiG<i@za(c{#U!?E
z+`?uW<5k0^cj&!8AM1U#QNSD4*;-?;G+*=_to3QjmZ;jEaBj+*CDn$-5n_fnD_ys5
zwV+6603tV))N>WK%7#sm@@UbC-FmxpZjSYQ)`+h>YJ8-#oiJ%d1O9-8)1Z2z4}C3(
z_T?SgwX1rl;d1mzDij|8w*n62vvo}D)_fFlj`GRqc-Yx&EK!0SGPSYmGK%SRk1fs_
zO(9y^Gg`v@(8A3a8LECr-jL2#nPY58pPvQgX9G3_cGmRurOVI3gPQuR=(d6BQHgn$
zVT1T~5y52f`hsdgmO<~0T+MJE?p?MX-`LS4ZOM{^EjYm-OxCXwjKYdpAIvPvmuUE?
zA>=1Yn6z~MzIFFnw$2`979QIcAiaJ48e~hekiMrNlk}_rAxVGn+InI7`KQGDeBJp1
zDfb_(UKOw!t}?sqBb(JzfWa(<##$^E1wyOtr<igV<Pf(mvRx!|@K!0^-L*6H@$0(~
z=v?nm8aRqI;d!daH}*AN8@m%lI#z8rfUE<IDlPxU4Gn5qxBBasYN;Jcz|zg8qP2=<
zK*nG!33cF%YwJ-$d`#ENmb@9m?Fa{GHl(_KMukn5tHUA}B7`GZJx|o1VPTX(BNeN2
z;J<FNB<|SCw0?MnG3FGtYoMKnjRif>BE&)Ve4iprE<2}xq(}IOscS@gH0|`WF^~$|
zJpX=1G=i3S4vHG3&qnr}?he=^&rf%;L=g4|2;j}e_Q}afSGuc1kh3Ci4>)vq`RRJE
z{L8;T$FJt9*THE4GT`AX*<Rou27r)+A2|D^*4OT2?JYkS96;D&{O+_{Y0E%@d0y<w
zOAza52Nt!;$7gr@1!xrC+~q0(P&mh8Wfc=#)$de_Wcz-rw?G4Rr+)d7_wFvO1!8(O
zd}*L4PBeZuWBeI}H6NEhH|CJ|sK5Q|mx#qdw(s3Dz*ob4E>!bp`+*hr%?7Y1-pv-@
zfy5=RT1G+rra<w%3R{!o{MlVJ6vn;%wc}huPQU;}(~>m6R9)Ik2;w{CP%={ON*gU^
zk|4%o2Wbm-$drJ;hiY(^RV1xBL8NvcmifA;DYNP$ygo*TP9Y6EE50;8$+wLjuai`|
z&p&VbsS@fHDlyoiMRSnK@X0=rVNus0N;NO$OSK)wNWY}8c+un>{n6!s9BrXyOrsjF
zsNtS5&77K{bgs0a0heQUT8ry>7>GaQ)O{c)Y^mCBt@>Dirpl0)7KreW<{!hOuw$0j
zHq^Zqpo_X|-zR}FU(kO;e$ct}CFiifgj6ijIy*Z7TztdJEnA8&Z3v`5v!n7qm^{hX
z82G7EY6;iR-iL7*gm=__4%{&P@vuP~k=pDyTdbb3ag(7@vbfmTbWg%8=Ue_PWXuJb
znwkQT;HRi}$OVuS(1p9?BVD6^e8)wLeSO_e8*3DzecjGIi2*fN`GTWi4lVIrHql}u
ze-H2<6pg06jP&|bo^}%ZD=G)$V-oBnZN1Kt7DK(*T>|;J_#Ub()}(-rkx<!9P@Qmg
z2pq5nG<@${FXJ?lqElf*Bq!)Xd%0Pb_I(%DK~a%HIOuDt=F+Cp95d0-+>UoNhBTV%
z=1aL@G{}bo-%#1G<(FJN`Mm2Zo55PJfg66Dr7YfkIQxgo{Rq5Qe@_LFsTYHZt_PqE
z!_3Ug6?L-!Ho8{s^0KFI!s(b=qK-phJ;4md?QIF<FR&Q&PV?7asIh;|=G%KJd+&%X
zWpI?uh%9XV>sQ$!TAemSg*9GbrysdN!@uZ;wO)~I+ZZ<vO%R7;K^(;}MDweS-(R4e
zAn@_@TV9(mk%=x&$>8I`)o?_9Fj3jd(j0D3gb9scf_+NcUiuel*CBgw)aUqRwBJZe
z1ddfMWPvG3>ueZiM!sJq|B~ZAP;<~uJoeR@(f|54p5BG`1?lfF(QSiZN>|ZWOh^v7
zp_*rKF2)4$Y~K~td#5_U<r{rCC%c(T;(~63ipyKmfdNZqltq<gd`UQKC}k5NuQGpp
zg+Il#9{P<b4?i1)4}z1htr21=q%#yfOG!BRF(ggG$4sBhBkhW2^H&-TT&hH4Kq@uB
zgu7c+{|%TpxFdnz9kpO%_<NU8elK|q2BfJeDSbC7@9>EK#h!L}b^u!TAE>Hvj|5Bp
zoC69z3*ZiZ_wN>16+<KsdBFf84Y0Z0r9r@^^QMBY(f8`8sr|C@uGp=C^?MoQsDN_g
zZZMI6N(6qD;|qG!K44tQJ>cJ;tG56K@@2p3Qw)_T9}mw-nDFQI(Z2_yCenKvUd}5X
z<<mZ3zq)bM{>!pvUef@g-T!WYCX)Lt2xy7K)VXf<+_@m{IAbH3p3QIn{RJ2sSVzXn
zMe*H(X2-o~9|3l@e6eLVB;n|JdV>)3BQ{QM0!laQvGJ5%PIMDBBxLvE$eTdbZ82H_
zBO$m?Nv%m$N`L?Ut#4a0xo0;jJsQ#{ZHY$+X+g|S>VpGSj_z(Hqw~BbV1iIz|AR(T
zks=A!7#?0|vfPth>j?TzayUeWhjO-6A+)^oK@{A?4DU$+kNEd+(ZJ+k9F$8`x6c7c
zG(*%pqWhHdM)gj<=H?rjX@oJGLn9+$W+HD3tLTTd7#*J^nE#5x7VN7O@72`lt!l^y
zR><sZ&x{DWU^e1#>?h>d_k(n(RDu6o)#&#D%);8bc-p?SOVc17cAtIh3A6^&7D~}5
zaay#FBE<;>+sX6V_?hd{lI*kWCB67{=?cq-?-{t#!zDLSznq+bz7H^hfgsDzslSeu
zk5W?NHF8kA!VAqSo&#FAuo^Y5|ERD!cU=9W;N<}qn@v!9cHH|=$;d*@x6ZrG@9aFM
z&vBoHnc0L@(vLh0lYmNTnr1ou0P3iCC4AE^^Az`-@YL^_JngU=otHw>q}g&GiF=EY
zs$rc>YweES=sH`p@+OGrnD34YT<VZ}S&G;?tjXjHm|x&3RIjpOZ4ofK(i-KiXh#g9
zC17H`d4u-<EWjMWOZO)~sj^207i?X$XtAfL`is8Rl2=g{JbpUzqIuH!I(@bvqyV4S
zXAApJW?`bMs>Fyli9Bd%PVRn_GwR}TYcT?W%A(`4MDr**bE9<EGZQj?5kP=cNs2ZD
z)CCaRair!#+OD?y^ZcuOD%#zqkc`P9A&6-<__;ywDS6C``HwN1W7#4%udjQDuKs|m
z?uXD`JjRQ3`h!%e*3?U{o~YJOYq=0Mg!YSZRk?KH=ou;$^LyT8x9l#tK9I#Bo;9-4
z=KK6h^1b`+bL!Hx$`?GFao~}$bxM7gN$$4)<MQjo>}u|xv!(|}qTEHoO0`Q$6Xtu%
zQd}s`+K>^i>!J@&;MM$#Ec}mm%{?EsSC!^P;@0r72}$Z!lGbl{P;B@{vE@f|iDkkv
zhT&aWorTMVy1k%)-L<<xpe`vI-mLg_RKyH;iE}IV$I3CKJDkR|;K)iDQ&LqYcAdA>
z9HzVs_`MsA((4MAYW%BP$AW4129bj;x1*`%Y=U5|fj%2MdCP<ha}-Fz&S?GQw(;at
z)WUsw!E(P!ol7wS8OoS>8w0*(9u;E&*xc((nR=NP7=J;$?Daw0mtFN&KE2{AyrQDs
z*kXbIDPyl%XN?b@8_{CXK}x|fT}&!OwqxlVCRQCJgddRbSQ1P~i~jXgkPa#Wys%9M
zlE>_-Cw8Y?2`&i`P#ljQNr{?ro)*H^mM5{AG@qP`%1;tw^5n#&VBEC$K34oYEIhbY
z>=AQm3haq};*u#<D6?`pM{?Du;MwnyGE^xcq5Eio$2ZX}Wzwn$yW+wixN=EtIJjg1
zZu~uY5K;hXw=XSgxf|pL-|fvgqGIuC9hJage4qC6d4WK>=r9>j+)|0w*4Iy!EBs*L
zRZ)Uqq*}2`8J?cGytA?upp0;7Z*xuG0g`BiiP6y+t?qSL2t(q0sLU~o<37kJ@j4p^
ze0|B=Bjmi~^=#m}6ZNt4oQhj6Ry9iqOzm)iUq}c80wrP)F8U|s`-+G`Ir%w0$o|yL
z`{CWYB6p`LtF3MQ6wunu@(ngFYu=5+Xxf=B!`bi+2HYl7xER=UbU$hD)5_FI2T|jq
zUB8u_vTtpDR4%sDm)iB%uW^3G<zJ}0f{l$e@WL29cNI!ATVEet8d^Fa*vWSPeb`o8
zpEQv?j3|!wT=zyeTG>pF@I$6OP{%hnx1NF8*H?|cR+7ZJLr(k|D2PxvgKphvPT8wW
zD}y2$o2dWbt)~rYn$N2GO7F*~hB7k?W30<;3_kt9%<0dn7I(VvjbpUZ+Pp<ojJL;9
zLHc;F4j-3xqs4v4Z}p2o@}yS?WV9pw-IO9R*c)ZhQ&S*0bcZRE<!0#AAwSh62)4}j
zDlCM{%6+_FUtf3<il;hY+y5@XxITUHy4ZKN?mkTBxNN_*L?g?`Rw@+U%S1C+tNY)d
zGPXQSi~WJHHr5Dx6<LR9WYY07!C)QiL4ZTu`@>!a{CQ(vdZ4lne>4FTpR0Z}Lkp6^
zP3b;GRNoXfj5U!FK+&6UR%N5G$ld{4jHc6j;_>b6;-x<w)|P=oV<_7KE-U<R8mG<C
zI)z?JsZxR*mrxQ#Abk%)+k&@e<wQAFq2Lt6ELU4BG!+FxtzzULjMV4Ho-Zl^I_2}m
zK^upvg_?&QTM>L*1|LGsHPpF|*i=~I)qOx?MAyi7g2Fn38XX|+p_XfzXV-CE>n<B2
zo2SjG2eb0?HD~e;KWcK!8J~Yk5KeYEEd_#i*W07No$tb`Ew-K~4NsoViHTcqVp^(4
z`&e_2xnqb~b#h6m%UKx&l&ReMw=$u0j3?sjLx?EXF)l0q88xI`HTsXB-{|MU6{;2v
z-IL=??&YEU0zD9ow(qNa0wch1E=kFh=)~4Id2kwq?Kd6wcLv-H?h<C)uit8%M17dH
zhq@*Tqp%0J64?uOZI2=d=OXZUtcZzd>1bK<w9inRzKCA_X)Afd?p@&G<(10VAAMob
z5*wbzkpDnQCZq$unMpAQFFbCbrkyoAq4ooiY`&k(d%gV|FVI2DmhF)!k2(f9J&ey3
z1Hr31U!vz<hm&~@oR2?m{6~KKhl^7Zg6S|~M#gL+<#>>J!#tNUGsnfDgs=*AZB<BO
zGM*@O&RI0bmf$*=eOe9(LahG%``1e%#)i!nS0zt|_dAsnETNZ)-skef#dl>_O(Xll
zW!22#&6_t8H0(v0j2H-W@9EkKK#>KbE-X83GH|127qi*(34tuszKq%F>)l!o!l%PK
z0M=+L@BpCh!9*Px7~8(y?Q<PGRl=eRWu=-`-yFL1YU@lI@O!mnnAjjzQPFbaOZ}Y2
zP(w6lv9^LGuBZ?rD#447`V~W%*)QdR3B!FLtp}z3lS2l<6t<4-0mDzr?QUBG<z#Un
z5{v5X;rpv=QiF<(3uVErHhq~jwYT)cuClu3{qKLnd<7dn@k_tl)E7hklHhv<TC9fq
z8Nv<1pO&WzXsE=VCDJmFjV<-t+PS*M@d|zY*lk78%ge+-Pv61DHTxZ*MdHaB7y}!m
zMLnvoysdw{JeZk3bN<PA)?@$jy1<h(Cj|5SF};|G2sy#K9`c5pc3x&Pe7Pw^!v=!T
zwKEMK@yQ}&_kta)Oi;DY$jCU&`nS*9cEF61pweFvYq1sG7~o<Nz#Fp(Xdmxt(dE8p
zl7&&2!e~6j&=4@kND8@nr<*!Y+nsYT>6&CXRTl^wQ*dDT`FjHK#<yMvAs*JlC(3mn
zGDUz?#9m4}v+d0OtAL#9$=wjMxnpiX&3|MAx;~)RCzhp`&_-$T2%{G?aI%X%jfF?u
z1$y8-XwVOR@9)Ca)f>uoeLCMr-Z(9KQYp3^ey#@qTjhoYm0^Hu1`|`hSD&wcDenKg
z&Er=^SZv82??qlF1|*&MzxDU`$2>Lt7u<e9HN|w!Z<73jMB)Q!)9e<f%p*+2e5UB<
z!tXkk&E4GJzTNGw|5^6oDXEC#)O~H333lUJ57xVKZN$V<lC7q`dcKa^OFrSTy7Ij)
ztv;2QU=$BiSlJRKdKay}zP?vixdn?zC-zzz@vr4&W9Zjsyz93VAn-Y6KuPdsJ8;@O
ziV)5NlQs>xB#C47KtklMy$~%C!<5iD<CZJcm;NB>95i|WZf~-lwPL}9nc#HwTOz+z
z*CXuU-$dqORApPLDCNh`<>-<qB@_p1{kPI3l9PjRNNMSwVBjI)TEU)A7Hc_ZgA}(F
z;jRGwVrR!T$X7&S0j@|p@8y!To1B*;n8W+2RfS^dAo7X$EsR7Cq-(5+?#tH>&Q7kU
z%Ehk@_W?!fbX|>|51qjZ!ji_#BR9lDC!`3c%^oE9j*DtB1gZ%b!7>X{F1-Z`$#e37
zkX70sZO9$F6;0;kyUv04N+>QFP%17jQ&(lF-1~{$kr74OG1Rz&{G<9R)NJmq&;3)z
zpmyHU)$d22Hm_&%n7Y_<^9mZo_U-ehsRPf)qx{m?XKs=oS)RTT5E1(DiZL#M`CVh(
zELgA6il~D0t$?z!zMl7H$NF))w|9(O%cjO8<ImuSmh)h?ELv|#;=uFM`EQAtnaa<+
zvl_;SRiwhG>BM=m?CZm0azWpHTsQB3eD77j$~o!#re@MR+Ypry%+Y(c%)0M1KEm2d
zqIpeRvpLdO=ey~82y7rAtF0WL&uU#~An*SW594VMrIF7EMqb?1-l;Nv$1|!}rxfRc
z@n!(TI;V;S7$Csl!ko4D=~4d{S-O4n*mFd$?*53L>6f8SFWlrUmi)(a|4jEkV3L1Q
z%ek^v0_yWx4m#>t6cOBemhD9z>BV;{h$3ZRy@z;Tz2@<^6(%}yyWp6Ls)<PZ*wDx^
zc=ZPySfx!3%gf7-^^5U;Xz(BK%vzP<F||G>YJ1#%RBC{;4jHlw(5|7+;hB|Sl?((}
z!2(9_fd*@ir2qBBt|B%GH_r4g{p=mmb9%fdy{^C-wIyH>z8TWrhH#kOj`wo*+Q?DZ
z{H8F~f`$+qbXZbPecU+HI<=#nZ-sujO=TZE@or_h<ciSC`q^Lf)4T?~Fm?^M&#BCF
zY+t`t8&>|rAZkalD#vpSmZhce;7QrBuy19_+}RD?E2DYksV4o#9$hV3XCgkv;p))a
zp(xP4OnkAJ4_G{HwY6s<a}`8P>h($uCoT4o6~|3Ybvibt!Tbpk@F>^R^~~sM@y$q&
z$MQUbKH^>-{X`IXynJn-s~RANnp8NfVQaVqr3BhUy#naOH=dpv7avxsz_Ycs7FI31
zL{acQmxM<aGqorXMOh{scL+YYMz&;LnEJwk%IQfMvX<j!iRnazjg1NW$<oOX@UsfU
zD98^@EKMj$8!G9@Vi$CUYYT&I2iz}QA2}}yS>PeYu-0)b7)W6d*0Ul6cL+mBY+|Q>
zdB5VRxuOOT*J6BPNaCxaf(3V=05LL;Rw6qy^&msA8TlP$te?dP$kYb;68Ph(ih?Il
zAn8h(z*s=NO8L4$o2^276^X;PWh)So4>Z@-2F05nc&Rdvj$7mjAR^w#?bhY&2gF~_
zlh$2+37n3-7K`2#k(#^5Y$2tYF|L*<-|uyBeV$KlFmo~_I(nX{T~y6y>1kjnz5gjA
zZHKIi?8b};O{4PXi1;xOY4hYh!^-=<fjaMt&aLTS7r)%fdvr;o9)c0v2|T1O=e;Ea
zp2q(FNOtU4vYkBjwhcT%g%5ZU+fp}wy*7;kH2~+uTChY~>X?+o#OU)8@u`9&tvdB0
zthDre{2wAmLOlykGeu2E<W)+GnH-X(k}KtS)ouB8n$%g(<dY7sKB|9OE-EV8OLp^%
z2&PS4zJ2@2lZGc$iR)1$wSf{rkpo0II;#ZuP?Nh;G=44%G&bkh)&&^cS7t4F812~&
zb~tLYE!kEU*keu$RCaIw1s|Sq^0uzHYh#df*CfVU6{y5jg~|u2r~Qmv{-bVDb{e?3
z)w+CS{pZ#tQ<%<a;=s!{X61f1-N$Y$z!>wBd}Gs8{xYdjmGt9xY{H;KH?gd+?oQEG
zoh}lH(Y|U@T9Iy8=v3R0Q(xh}r*E>_&CJ4_p=$%*a(U8m*G|=wUwrl^_eSI(2$tA0
zRG99)57?PjUpjcE+;j3{j$Q-=Q|Nx2b*~oQc=7HiZ87cIkjGL9>D3b{M60Imz;M|R
zZ6spU3UwrZsco%2!!cY%dhJb>ifhOG3=o+0%u0bpGfL_-V${$6%dt=W5iLvAD=sc>
zWk6FZbx{SAuG9teYu|$>jp+g?h=`cH#A{H|?dajxvnHZmEF>rjLa`ZY<ixk;P;@Uk
zTK;qu;`5N+^V4$H+1~bAFu(Iu!@1I8c#{u9gZ)gDCEcO4L4#6wX&qk3eG9d14-<)J
z@5e)+H8YB<k6YY^2Wx2H%p2_BXFmDzEAq=PfV6ybH^xi+x?1BTVtn^C$6#$mTP?@c
zQB3^|Bct-SZ?pWA%?dBhtKkGsn2@SrF`+RE*qS@KXT^C7HXCS=QlCN~3L4sL0Y3a9
zc_y2M8JyTaHWyvXhhN{lYP+1N8%}#T92d`+&x04u>#Yr=sKwb3vSk#2)<QMlXmW|W
zAL?{{eIgF(0+C?#f#0qqN+67qtpx=l8M3B@q;oC$c)qiS?6+!;tP~}7t@BV4TT8xC
z9X?914lgi&paPG8>Ytu?XDj(>0E!ye&Nr@m!>}S@qF0lJl37Ycj&cf?gsuhK39hKF
zZu>oBwPIN#2`}^wlBsEEnBN?u)hYAGv=+#8uSr`2R{F;8!X|AR0%>+k9{UEF{co;8
zjMm6LZ@LOKtWEUi^~2<<f!O(m$<>Mia@ZZ*XLxHe1-~o+BWmvIhzlQ6s(%G+3ASxQ
z2dk|+G(11|SiC~vHlx|gi;MeLH~Lzg`zYObc_`;ppMyjnP@%)1r02k}=pB#}A~Blx
zmJ>yC62Fgmx(AOoc*bnkv*O@~;CtX_8reA}xS8b;Kf=O>S_tFkj0_mI)+eTSGPeL!
zZ|qCsUXRvxY>aUg#YCpy_=m|o4K%aBn0o^<S*VFt^RDx`7u$A*s94P)Ff_12ng8u3
z%u^7l!}UbB=jP#o?+VZ^yiYlo_&B+X7he<|FRKPqfwL+~1wpq$nEV`0Qf-S<1qgad
zD;dwFhfF`ezBBj<pb!Dt1X5WVD7kjbG}}F~GXvxnTC5DqZbWOg-}d`N7I;jL3w!Qg
zI)7Sp0@N4J8{Ex+Yl#meXdB}HX03esm7kbAGSJxYGs@MK@3B`$qQ!oEXEU%LCjN+>
z=@hGG+|~$Z(!7<ow<jyV#jzVDfohmSc%I`cYDxL$Zo^9Jn*gw001M2jfoRr)+vIaI
z8QN2lXqsj)bW<rj_Sau114zEdJKxcz2$qvX4fJ2JOvGH@dj7rpRdZaH%0|D6g8s1e
zi1M$P>@Xu7I&zCBy|6^)jv%Xoc@DLB#$T3`ox0^o#k=I~ZoVgR?<Y3J1ZT!fD91`W
z(y{3*Z)#_J#;@u)5)zj9MfuUB{^+yfqe6>B(jV15ukY5D%~$>v;(u%R{;v6gV#A%n
z9C!;}2B3PYzcd6lBA+&z-c!(pTUl8#<zd}1T?!Isg45GBk=tV!eahQ1#}A~KfNtmG
zdD*OrT)RcD{Qr^KyjIkF9SxeV)^vF?NMsa+i6L_xZ9~*L9y**HZrESiFDdl!?OjDW
zEK(PX5Un$o9y^WmR-u4SP8)6~r2~IrmLMnPLK%&br#z$-j29G|vheA{_u2wh6~%NF
z%J2>zV|pI^{54yV1qca@GerLOYvNfNN!riANmq?G$5eO}7Z0PeCHM*_?;1QZJjAB!
zCL^~?cXoCj$e3L;6gxL)`68@ufXNhms>PeEuRCl@Yc5AXQQE*XIM9FFFBUhs`)s+r
zAEjjmw?KyUNs$p_RPea&(|Up%)L!aFU|%kz7){8%FSr=G4=n3SVvj%08|}U3GHQmP
z>>YU|Pez2|(k|9hhD`<jZ;FGSJ*fifPL*HJcuPweRGV1oE%I4?=95Z$^EV=ih~q^;
zfr0|_P-a^zJMa}GSO*xRjHo&8oEB;ooVecl2UkNf(e$_;8b3ws-p_5IaM+3w`M$;K
zJ+JzN`Ox{hEFnJ>K~88|UA^Z$nnqY;H$Z4_#M}d_5Eck!I9K=mBv>N7A}aBawAf5c
zFhrwcLI0#L_N+GK^?`fny^s?n3}`PuF<y@t<(^3uSo_1Z95l9F&plU1HFNDw4m2M4
z*w^L@rOeG)V;~T@h2sH)_Y_?Iv|jQ{o%6qcOa|mab>i9KxG*ynEp*5Q!XJXX><RcX
zS{<OGwx6EM9$(zHhjyy=|7wHV*`~<PRLSFEa;@&I#@ccEypNmVKStyywa4REHgjdR
z2w*i@c3C?u`>m1L%7;fo9(DcdXy#s1!A=!z4Xv%$U(t7Rh#H-8MBNos(u(cmRls*m
zU3D3-w;Sr}P%&p`vYMG9HV=*27ukaPNA3ZSp55!v5IDM<^L)0#Ra{A(?4m__^s7;8
zc1^DZ`i;H4vK?>KL6yRah+4r)3h}d&3go+Ft7Y&2acL~V8|*KYd3{R|ukVcZ%c;v)
z%jHa7yc1iJ%&SLyGl^XfOb#6X*?#qRoBQ@F_igvf+wRdnOQUVSBlunt(E^nN7(oR?
zCZp$fv+o7ttnV3#P`e0`&8M=9onvNnadC+ZVfWmab1<|Az&)EaA||q7x)m_AKXOEq
z$?7L}3xbItTgWsjicXHUo3%k2hY=-{kOJZ=bQoYwvjUOGN<5epdvbE}gaEa(W_UtZ
zuuof6V$Kg`lbmu6_mFBM_Tnc_&ul8UTQ5@%``o;|$a_yMS(*k~`*COzdxT;QOq*c_
zyeov{Fk4-&3N%g0!RK0h^O_!XQ39#%aH87~^Bg)<G{)jY^K5#VsA)+>=QM8k&CSi(
z_NB8yeSK6Cy`1?FmsM&{&5pw&7eq}9t;uye4lGdP=O+5N!E%aAnb(w@<J{?CY9gZ)
zo8H!BqIv^dZY#!LC2TDBtZLk<#VZ8Q41>ir_L>8d!OA%SB{IEPKr=|s6w5l`5zLWn
z#z6r&Tf|nYixJEhGIX%Oo4p=y_eVDqfIhqE{3t=A$DxDd+4iL6OPv^lAq)zL^(p^Q
zBgcNI+^ymMgmJ~NWV5OB3tAKi%ZOFiRw~z#q5InrXTVok5G2Jqbxkj}d(iWSI>CMH
z8)sID-9oGX%}-E{%ywc4?*o(EVVGe)SOIPcW~NYX{Hn+b(o1fAWH`>RxI3WiA~qNm
z5=xI9gwc+kV{+?_p3ltAUWM}fd5<1H+5n+P9b3r^Q11Wkc|_^<`3qH0v`-d6eyvc{
zX20dx9AzkPn0uIWYWKOcD&_FFIGj~hPN0wU>VeJ2#>GS3^2=7L*%kdehtJD>QEXHg
zqLw2Z8H{4;G|inVjA%s66+EM*pr?0x+Ow-~n7rRADSYY3ZuDDf?5|W(XrRSnQpuXb
z=<1`7-)2AE)9iUIHf{K(;<odE8bS=!W-%JdJ-sj`RdaZpGa8wH2k8OFkVkA6k6Ls%
zZrOTQku<h$R9=?=L@JM>iAJw$!eWs89QL7VU($zWc4j7@HT_^^o_nBUh+_(^LZCtb
z@3wIVbFt^2Q6zfy8rsW85*E4cmwV5lYNwmGe|O#nfWPe~AEg2}UxRR6ud`I=VAy`^
zF-RD=h=A6dwSY3Z7!@Z<W0!285K57?tSM;H*w8a=dk27_o?u^Mj3sLtn2w>!z%@_w
z=C6(J$d5gV1ccy$kM8}u=U}ro?twEJEWcA$%Pi13O2h&SLJNBl#Xq91Rcu8fKgzs7
zhSs^a_o(A&{ii^$C}w0VQdLIRDakim&mWzt7tjbmK9XDf2UWB}*Wm{)AO7^<ZCep+
zY-f~~uKJ=}%Vd%t<WFJjoaMhm+Eu299v*2%(<^-C>6i*`rBe(_)!EHm@4#=RIRDVL
zVEFRoTU1I0Zp!BleSF2GD$<PfjItI27IJGz@<XBZ9Ey~PN0G2#EGXyt4_^-)h6=ZY
za!u9f&N$rT=i-=9SVs=&?`^asSta<e_f1$Q+b>p$-~V7fS(BtqN(Mx7hd)73m&$eH
z-DUqA3<itV;;Dkmmsfs$AfbWG+i<ZT!G^E%ihkaJ(WLzT@}RkDUqoY@YlO%6=?e@e
zbtMQdoSzC=^v&>~J$LM-3dJ`{{KvH?X4$e`YSaf0Uae#Inu$;?BxK}8h`(lyAcP@S
zb=?G3hTUi!U(D1|ynQBX+Zu0ag9i!l;*zo$BP<XU(vUP_PcYM+ejvKqDI-)bZ1dsF
z!;>tr>q6Vnnn3A1t?-)2{5i0-t*&As%HGU6H?ecK`Y$GHkD%nf#rM&37jjT{_Aon3
zIQSz;uANbA@R^sYN<t`*OqMpE9_0tmeLf|ML@Y}<X)D`D)HCp{uocMeH8{tOviD;k
zQ6wu#B$}u(EyNc2FgApVg{JTSUNl}CeG}Fp$|o%YAtD(6El76lht0H#J(%{t2SwzA
z;v_I`a;VaU?0AEF*Rr$Jh5E<WnCUC7CeapKQH2SVkq9>iOA>I))^)!D)2n|1R>|EZ
z9=%5bZIG3fm6@5@tMxOU_j`#VJg5*otpy{J(^chDWn&-9fVYpvryXz2*x4GVo64q@
z>s*e=zm5eGlh1vr1b#Wmy}qs1JX|{A!TXZA)JmMW=Kjtms!Q_vM*-&B%u!I*yp=x~
z#Ws<66ub)R6YCm`V~t~ix%~Xx>h{tfvyc6B`Ky7R8LS1$KZvFYf#Dbona37Zi%l4y
zybT)ZzJj8+V2H?1a)<v&1I8)Ppe=a{#}ddVL|`d}2{e)KP*KF2VW~M}F)D*TQW)vt
zVdL@5rH@oZeuOl;oEES-w3%2D^oqU}9L~>YEldm&r3$q&5KZE6Z~5pE8(5iJ9ZSK0
zV?}Ceb(sy+7(YV<+yow28T9m(S(k-El_WiqKIn$=6;TjMIA+<*1-EhQ#TLiJj<<#!
z3WXmn=bJ>1W>$&SVI9VatHrzrgz1$NwOJ)672BEo5Grj8ErN(5u}J586doK3T9<WQ
z|L)!N<!yDXWT{~KW>=Y*DeryTELfqPkDm!RBY1K~t%$A`v#t+pLox)@@9*eVwmXQ=
z6gAOs{&;4684)>mY5%*cY_rHJrLl|L*Z8bR1`b#br{w0ZoWzN71<vTu^GW{j?o$~$
z<j)uz8~f8a*i}+&R*lft%QBy`h(0P#Urgoeku1eZE#B?y3@kY_@$7oS*{mR!^zeQd
z_qBCzh1^r{NU38pz>t9x_bhliCEXlKP>OzV5Xi}Y%c{$fL<>WGgopXX$zbN$r}*k=
zdu6tgf#fO2uYGU}TZk6Z23M2vZJvWw#GD2pW32ur<+OSQ8q!DaUDtXVzYUlcEExYF
zv18{w-*^ZL{$)>hYkT)gL|A1=bEYKlx?GyQm{zhmYW+=}^LYayBoqhH*C?4Rsy1$)
zn=~!@hZS6eDqdd5h~>W=)10*;C)Wsrh_M{|%3e$adz+S_UsSdKw7zkWiDv{N-PL0~
zPS+9d=kBwHdOm+UFT^0F_3wy;qVngD{?f9oA$x)zKmzM+`84b@yQv8zg&Z!l)J}A|
zFZ0)3`Y>h<KVwmcL-W6Gh_^I;Ea$V1<VdaVzHXdgzbfW=msVn9`g-IuMI+Am>j>n2
z=C8;^Iv1*)I{-<*a%4gw)ysR;)uQkwVym>3PrZD;cSY?LKM4!iKi@A`zTCaO_A39+
z0(eSkoM?kreh6IlfUPJ@oEZ91F%1Wo9boakPFpy3rP}f48v9ud!g%#F-W(KeXpAlm
zFEt2k9=^Rj1zvCy8S19^l13+Ap^WA1WeD}hBUUt?CrVg7aF<Beo-!P<JPd?aywrQ!
zms@ypa?=?S<lnxiWZN`|!5(O5?<ljK>z@h8aWknpsM1e<gZw{CXPxhiO0}5srm2OA
zKkZl~SHofOruZLCXBm`b*LLBXZUpJ>?ha|`ln`m@Mj8R>?(XhJ>6A|CM&Y4bKtM|R
z+xI*3`NJ8JVHmjfwa-{<9RUf7Hly$<=pm-0(kkJ#n@|Pa+=?2h%nvtsDtJ5IT0wSw
zwD7Lf=2MJ-;-xf6R-*hccjFp>Lj4^I+Mg78uC!mDOjd`n=A($<0^V!oEszXmP)r6}
z4_ouOb}{GFD5AXIc<!sta(xEftWj&t)o{FfwIPd3cEqao(Y>z;FpCoq5Kv@Guyb&1
zD9nrM<{h8u{bkU8n{}D{$7RWuqebtVdXEzbux1^%e+lzQr)4)40}B&EUBke#*6)u+
zqpflW%Z{TZ8A)cvCdTLmw3f*26bp?G0j(4dt-*Z~F<%9u*6=z0`MT6h_E|8GVICVf
z09TOLw_AG@pU$<oo$AhTiX7Ke3tjFZdHrZl!99Y{oA%l9Z+K&xEWRVGwjAu9;Zt3G
z)qcN%QERpO@}`kpnbJia|8SzNG^Y$rk#cP!D?vrr#is+aa0ZfK%SHIiIk#kJ#%}ao
zhsc7=|4HZoRl-*aw=iJf>G)DzOUxDJzR;Rov&UEpn??ejFp`|pZgxy#QY=;Eu@t<(
zUKh~*DF}NQX&3%UEFGAKQHs4zRm&gcOs88G2nRV35%8%pvZDLLXZpX$Z0RSA9zpcp
zHZ9l;sRcPC!bnWGd8W_!Hdq?=E{da(59<9{*?RfF&D17x54jt%$7>eMT4grUUd<zg
zlZadI73L%HbJJ%Uakia3b^Y_$Hnj+UxN<kV^>DPk3?`iS_xGM6sttK_fu)AV1?^}O
z*V_d)vPh=B3pz&Lg}3@tgP@@RD9K^T1d`;97wKG&&fjmp_cnu3GtPGr=($+-e_G~%
zo`nYWYqcWA-`Ct`F%GM#CMQ<D`HWG}Cs8l;)+W<B+smovcvP!m&bm#&HD?l#vwDKU
zVGbUzj=&z`*0QUJagKLweSIp`Bngi4?XH1V_aQ_=+Xm_9??o{jBw+oaRY=iDjWfi%
zqTIGqHY-U9?lb1j#FbSV!zMz@7|`MRK-g|<Gu&K{v#(yhEad)sA-PjWI^{s<?H|sM
z8flHlj}v2XaVr5J@saRWNl6EEG#~pj&IofZMW)@2bZ)<_C^9i9HBhpOI3AxMyixIG
zLmR9-mWfsxb3Z=&{=n;J3C1tye^-ZUv#S=xW*YcOk*VRik%{Y_x)dCTeyW-YOHqF<
zaWRO@S+jyU9KpT@q!5s|-*SK_!`10tyu!$CgdYLChshO<03Y<^=f7^)G3mvU^&m5h
z%)OkuKs?)Dv}knb(dkV3CGS>Gs>`yGsq{a&1tbbQ*@QJJb9wrcTt{Bwa<zOvbu<(z
ztiIajK2r-_u?#uAGz(pfC9m7$Pc-vKxLUJ=DKA&nEN@ZUV;bJ>G?%2rKdq|C6wiVk
z63@S}+P-jyk;0j=*s04R3GB!)?wbtZywDh~{&)E3>Fb8NMqkG&)7cGIE}kYQC!K}&
z<f9T`_@ZGFy1#ly){}fUXvMVMuDJQ_vR0_2LFm{cZp{m%4CMbMQz8$0eAZINYs5LH
zLxx!?Z;~-1*~Qh5Tr+$OSw)}*hu>dB=uOT(LYRA&egSHo<xkexmdE>!H$9o%v%xdp
z2%7cS5D1w*52->Vkk#)Ul3!s{Sv;pSlQN6Q<6QCQu&ntE;A;h8_`NyU@-Ql2Uo1VC
zT8dzdD*9orfdH3gv3Pt9Tp9vP1wce~a&|WI6zl!#Y}@n4iR-&8os_>^3!}_vvpRvn
znCLJtf}Uk=$*Xa#{GywkExvbu_p07)dl|uVE~ioRCrcfESO3E>F<xu&irY*Xr>vQK
zHOIK0gy8tcTUI>G{S=(F!;d5=v!@>E>FEOFNw560f(NByy|;gGVUg)oBj^f8|5@)^
zwdemxS)It$($D}zIVlHTct3&Mm72#nXgUOV430q(#0JQt>Ujn}iMceK?^-@bWjZ|*
z5`*4d&l9qTcyS#*Au@>v^*)?mkRZIIiOyI+BJOrSHcVi+TpO|%%jHZ;p<KrLPU;yK
zp;re1MZuVL+*@(ByNdK3?vT@gd_!}iwkxTXgTpD`R3x23LwmcIlcUD29)WQ}L~6+H
zzy3XZc^JwFn;+vI3~fGlf6M3As{OcO;Q|6$l`D8FgQg{PW3ULRIA)4U8*`@#dg3DX
zp-b-CeHn+<ugk~NtP!Qn>#M8d4a&qc$v+e4K&;W;Lo;uji2u?bWbtgyIEeA;{zB%^
z&=8N+l!!_*KyNKBE|L`;<*s^t7HT=k0x4_lh}vzR@E2kZ!jq}e>0qpfF<>FTT4Ey*
zDNSG@<Xu(18$IAVv*(XqaeyvzFTVqBNeD6t_Qsd9u2-QM{8^oim2ZgPB-U-SDd8d0
zm-kP8*I*BGr+1PI7GMLMq%C^Rq#xqOfHr3J6nq?(kH)Tf<@;xM?)yG(!q<r@bA$uT
z?5}oKE8!sdS`%ZJIdI4~bsumbPPAdt64T1CRiur#H#fuoQem)1?G$ZJf76PXIkRKC
z)}|h7pFVM-f9YDkn5+^OGa<~f9<Ux#*elXbm~>l^KSNzo_B!?TD&wDY=)*&X-IRwH
z{GjUdz<=;432ixBn-^C!%Iy*atFj7ruz$jJADR+n1}x*}bDA2yr;hTW+KENirpyjl
zh7BN2x0}j=pcmYh?s|%2fS{W&mXBno{>H^eI+;6yx@mY}FgQpzm6bXoGONdy$K>K~
z!l(YLrGb@8ct@}+b!H19axIVZh=w!3Vg6;G_GcrdHxdhi*$<4A1ndT$aH(h!hk*Nj
zxPjjGr`LSZ{=+H}Vfx=Nb`&R6+d%?h-Wop(o>Lg9mSo-92G)7r+HOVQ7M|%8KJ-82
z%G?iye0)<rYYmy1;P1t^c0<L)T%@(cVB0GWY?+LiHZRgr#|2$1prJ+17sHa0p=s_G
zr5CD=+V^$1G?K>pKboC^+(zGeKF#5uR_{5)pvs;7P1->5KC8E>kBqedb>$Cz{v}``
z(d`4d6-Mz!PntPg9ycey1fMy{2N`*pks`5)8x#kW#*yGz&<Dzin4@?80dZq+ZRQYZ
zJfEP8ig!mgOH@e;m>&AF34LGc7+WVpx3`~2%6O+UF)PBs<Zd?+E=-s<SJJp72Cj^G
z^y&{|I`ADyS>G-{Rap_1!D}hhGZpErb~<hKldS4_;cAS5A0@BKVl4@z00wX1`EM0g
z(O;C8n#_Zn8;`5L2Qd)6l*l^J*G;1ono$;sYKISbo0cnlEEtDXG;3W`Q==uaRqpem
zsFdU?255jWRwkl3Dgp9nN`z}fuWEUx96qeXy$(vHb8M+Pw=)((tv3X32!<-|((;#*
zoJ-(Bs0P*@e}8cmO|zI$S25yyS)}4X4BAAx917Us4`0Q8UHqdfoRjgdRBF<z_3IH=
zj~jQBD;de>Vp+7@w=#!Uw<y1Tr{xeMIXI!K9MwfEB1>Fm?)N&+&@ZlE&VqFD$Zh}9
zYu)z!+*01bd(=lMuo#X73K)?#N5#rFpZ}z+zUa$2Yz;C$@K+fKX?ADuh)ZsiHL$-z
zN$4%HhIz+MY)BYtX_-uLeDv%ms*nVZKdE{|^L~!LH~yI92&s1pB#O(9Z0>hqvtmo<
z(y7=MJpfjoJ>*ndut?IHy&>IBU<tQ@{A8CpH1wTvxinKJsuR_jz89Gb3&jFLoerys
z^}cYLy`{E=I2?6`_k^pW(iy4OA%^?1%)60|=o6+U;E4=rUIC4#Yg7i-EEt&%?>KvS
ze$&PjB1A%cn-TYlx6aP%8SH*VtO7SfX~wyk=&*E$DwLjfPR-F_g;JIm1qmi$gJH?S
z;{*lxv(S5so8ZCwt0RwW1SEqaNoRL{M!A&nZ7X<Xkj%V|;y6(|RC%}p#xQm+2@0^U
zHpS*u6m?@~>~OvE2xJOVs+Nya{!HY2q8|{JMyBm;vi@(rmACKo?|-~14^Pi;aWg>Q
z&9@CrEd@)v^<Is&bR-6pM-(v<k?G@_Mfz+Ra+W^weK#ViwchPbdC&$g!kaBJ_*i^t
ztE+PYM?s|}b4oK6e{rs58Xb%JqgdBFn*lK(O=@i9`I&Y1{b*Ai-Il5iYoDInelp~z
z82v(*A}KjJbE*B6?>cW@qI>Gpr3Q`wemLboMi7@(ko<?W{c<lgY4m~fg#9^ld~e9%
zW!Wngj8dw%#u_{TQ;s*X<qBgq0Z?p@Tk!_m(N#IFEL%YlSMlP^SYM|P0C|z+e}B}x
z5R+*$rw{Nm(Y(Bkg)XG5l#s=z?RANV%k#cHQno!V?KL+qxyD2+A72BnP-hkC<hPfM
z@Mf7}<t#m2+c_O7Tk(u0{D!4|DUnv+&#;2Bc|;m(rFE>}r`F$}Tr!(a9`O_St&a~t
z*jVH3i@<_y<wQIV8OBWO+To7fYKt#W!ExlpGMd#WCfwYL6DpMtE79WZ33E#hW|6A+
zo?l>Y1AQGxuc2!)!X0uGo@`KNDs3X_mm(SFf5d&?4R6=K0y%$dypP-Q(eQt$|F{V9
zGhH71kG~u622-zIw>2<+&|n+wTK)6E%&t`XPY#>d(kRcBP-PAh_Em|K9oFKaiDl~i
zR=nxWIuOK<jYV-;e*WB=dDc|Z&e_h3pAZb6m)RQ0vbERuw^Fk_?-3i!%=x3MgZskm
zROdEzo7Hj1Q=X-Tq#_8i;mLWb;;wpO3O>90`}<q$U1;1n3IYfX*uw!pyFwE48tXWB
zoEc>1hjni{gh(gPLig0;3$RL?m~6?+)&aK1q~)Dcqxwzf!pD-gn25kBW2i%}ym{~b
z3}vG_YW3ZA=fQGuj@$`Bv_yztP$BloR#>>^Z=9}z#?rAB-o9jc854p$Aix{^@l<;9
z=hq`mwhII@oNYVDgOq)~H1k_f1hESDEJK4i&ddzGWal?o$$2$e!>qN$3o$kCUY|`P
zodowBIldFE@+khbAAh@$mwDJ8yrWnQm&O<aW1gSi#Q_-0e)~eued4+D?#wgh5^S(R
z8uz5u0T*aM#4i1EH&tZ1jI3f5Mo+SecaX>;0^7JnKD?giW;yXRqdB^LNWIi7oqrzV
z?$s<;^~!7Q>S8O+iI3y;OkW}(9f5WPX2BV>3PAEhr*z!$NoL4uSjvpZgq+r}lT}MA
z#ezs?cHA0ElnA6-H<2vs5`d_*Yi}~_<|VJ3w<zXEb16!8Yua`;zP?XK^HqR_UMsV+
zrrX=rTWm>#L?St2*;aQi<VpfWY+iW}vfomM(oXl)2UG2*%SDt*Ef_9!SM=IaX@TH!
zER{vgRd?#Z)%{pjO#!oxIT|HXy(>{5D-|}uJO{tCYaQ*~gzO*?6G64Puc;sY=~;TR
zNU%$9wIS@_tR}`twtnFJUY){4|4PbI+4E;S64Kq!_`udVlMR7dBuHJQt^ZMzau-a1
zgQUZLId_pvtB|ydRvCj8wgr7&M1ZDCy7JBkld~mMw>g;(8^@UUxv#>_qlvy~ETC!(
zU12p%)oivyH%~V>m_C}t_nK(o#>w51?V<Z6DxMHqrCc+v?$4kCEljV8UMixB4NrH$
zJu2(R>0@tRE0xV|v$?qcVkgYe*4GJGl$@qv-Ip>qhz&@#Isxg%)>J^co!r|-(Z-et
zhmcyjhAS*Ci!VD>yC3JKYStR$Ucqed_l4slVlqo9^D#(t|6K$($oJlL&ot;}iSL0T
z#9+xYsADGNV*Q0cvd%1qYhUG<P#nW&12ATNbkn@@NX)_pOtQ-UT=Cl|;Js1RZ+Bh4
z{7#Vl0OXc6{tT>$N=+N313Ra%S2jQ2hsBn+-rOvGETA8XhJ_U|9}AO{MDO!mo<>p+
z6?_eU^;JxVq?Ww%)WuQ#4>c_HTS!<KjZi|(=ofuY=cz1g$0ld%n7E>dq{PV>23)yf
z$rH{IwlHr;$9D$!@S$5&KM+;o3B;b$lmFIf>4_h*`3DJ*I+MOa46Z6bgydXWHvT&G
z=<&>aL@^@B;}86{PrlXd_2VL*;a`I!GROrSYdG1+PITZhd}|so93d4M@=J?e{w9T+
zS7<B|a8;>=n)cOk0bX(W*qz$@mkU$G&r=Vue=z6%q0J2-EubI*kC3%$bu-wH=S?3h
z7QBJ6VV+&uLwCTj#eoa3(3Qj@J!^?wce0uT+;y=)jwo1UB643>A~S#kU{zXWkL60r
zt{YfdS`xG4)T>?;&c*C?YT{{{!Lx=d;w~+*H({&!UhuKM+)Fn@nf~`uth;Vp=zH${
zy`%mq`h6h?CuICpFl*+ROGn*5uHL=zba8j$B331c(?lY@uF{XPBq8o0LRhBZhbLc;
z=f~(3f2u*S<l+a4EuXU`jJkM5^!1_fT)^lswqi(mqu;`H@Yh^24ZT2u|L&r>-C~1h
zA8cJXs&w#W5<A?Bt9Oe_DdDYcyqu0@o7(<`(VnON2IE8x#VIc=c;F59`oo`hkSp#l
zHhoDV@Ckme;GncxRfCTNrU0{{FFN+QS>NV&$5*~b>)9zg1KE|8?Pl&s4eeFRRVl0r
zJmg^3mM<Q@Htz1%c&_*jtUSXDx<3-D!UYqkDB+p={w_+Nf0}~D_-?C!ngr4Lurrf2
zS(#o$fokGfacL@rJK~&XG1H^ns02Cp-MICwb*IDW75dCKg+yVY)(5GQy?W>dYe`yI
z$dp&=&z@fS^azj7pC_M@$nYP$dTc|u1MmZmzmeJ>vy~FZ4j=Hg0E1@BDcE2D!K%|=
z=X69gP7eu1EVIQEwFXh@;h#W-YP1lgo0f`5Qh<LJ9}O2kn@7SPiD2n7+5whVm%jes
zTEI}3t5#*Fe%(Mydg~WYR_%p_6_8OJ4#7+r@qhnXAOI!od_IdHHP&vDo08Nf2kS3T
zc4lw|Dd?&=bI@~4$)?1RmXWENEh+R;NWPJ4oooy^9+<7I@l#d%EO;pQS^qU0B)YhR
z!Y_YwQm$tMs7GBKrvim0r~@Wao^p@ueW7K%)g{FpEuk4O>pgEdzT7zagA8X`^@URp
z|D$xjqgOBIuYf4!-{v?F8d>v#Y^|lKsj2+OANf9j*1!?94Z4S?o7SEuC`R;E*MXDZ
zBlI!@^C<tW&u2#0t)Mb^0IuLWsE==?Z%$KjNk;uD9e9nQc0!+nDKZEUBKAWG;C>+O
z(vQ(naJ`FG;rU<u%RlfHdx{u4zyRm$`On$&4fyU{DM~o#!8v^a!6f=m<y9|aFP=dh
zRG`<aM!YuILp9$sd@HRC@UkmexMrmemBNt2CO23Z*)zu&hGd0WZB2j!byx*hP7r|8
zayk~h2&}|0JO3DUU2>3I_pJi3wr%c*L9?VU@IWfltB=e&n@lY;roh7ZdLR(lP1S<0
zLfbtAOXxp=VBc#ANU7F)BuPwU9Rw#x0`chsfG4GuTIl98Dd-p(wK!y7b}xCi@xTR4
z>BZK21J2*IcRoj)Ti!v?D7W|THr`yfo6l6!L<y9zu;Yx{Y2(Fx<P9McX$OYgK6f@>
zn~-8tuzP9XRv^8k=Y=2!lysyWXncLd@>}&})H#R2ev&_15=)sL2UJ;1YN<r)9~Y<^
zY0<I|&-bspD4_shv|q7`c9UiK@Nua*B-Acb4#U-K9OktL(xfAJNBbF+qJIp5luI8h
zIvT>a%c0&Ehs1oBqHsSvmtW>T7^jEqFBJtF)d5n)yhfVT(}H{6*oI}ZpC3MI#zfe<
zRU9YuG<0*cJ?m-rbuBw7qOk;Jf{e@$5tM$gx=~F6(i_doL>=}u)%Vygne;^i0|OVH
z=w9R&IL2P3rVgt&&I36#eVPX(seHLh9Z9s0H3DDDCG!q!vV<vf-KNcP0*AN4sEDLk
zHWbuPr>0L%PrCxicFIGRyv@vLa-RQ*tT}AWzGp5l2$f9UKGysXMh9rm)Qc?i>?GW%
z#69xVno~(IJ0z%)Vyw1#$^V?5g3HJCV5-Zza$F7@9_HXbEbGsO`8TTb+Ra_R^V1nE
zO}XSY=tcIY?fM6Q`kn=ucvR1NzB?)I;PU1-i($gz3K63{d7kC$<t^Opo>X4<KA1W$
zMjR)FdAr2cCzXoB7;X`2!?-QYSjszyR>u<6d%+y0V+j?9uzC(!?ZP|K1AS`Gh5*u!
zhQ+U!#Ri7KLabJer#}#T(cG-TH3MZGJp-U82E@B-9SnRw0Z5U6|E0kH=tNKlEYw|3
z;SB<r=f!<N;yP#p&c0tx{rU6ff5zNl$H(CZpnNR%zb_y82BdV*lyyM9byx*P5JkeU
zFJHbuc_mL!*M85ne$RDgQ$7GJcY}Cn;DSx&^4J^0gZw)mc;yd*Jf5JR3B@XjE27<l
zlNb+;nTEXcQu6(`72b3CrpFb)6XpD`<fh#`yEi>oI)8uezRYEK1ZR<ixo2ke=Jbwn
z%NoTkT6#?Az^^c-uYYUIY7{1*Fq=ULKkJK6TImI=MXv>FK%EttFjY107MN(s2jm@)
zm213jeJPDHkC83rRY6#x(uefwP?Raem9ow7Bw$eyTB7I&PZYs&RdK^m!*N{NC`!NY
zeR}twW|~Esg;$~y-$D(o)@Xw3C$tgS4O1h_eHZ2T6gAX8Z@s(9Y1gPsLFQ2Fsxv7E
z2Z8jipekWlerG|UA_?KUzzK-A7h(f^0P`250Oq6Xxk2h;2pEO0tl07rw>W^J>*sDE
z>YCz|?{!8_iLtW5_s9O`|FACV?_KeFjAiiUr6C9hbez(4O`pb0nQN*Lo}^YH7iT#G
zAPE+_c?YkSm=u?J(k=nFV_R_j=g)%RSI1IIwK3*Kwo#uCu<t(qeSEyToK7Anw?Tcf
zbAMnkd3xuiX+tnbS1)Z^`3h&eBa=@w1(^Oe$jz4D=k_eEKYTxXSkG+V$*dRkAYJXF
zLcvnB!Fs1f{Z29>2o-@!F;VYba$1W<bQM2dXbL{cee%0^)pHfE6j>q?P%GZyq0*Js
z_OsOI{=@D$aNan(T>tWIgJL94*`A?(r+z2n?zv%F^ft$LKd*7x$j<lpp-R?Zch<w|
zJMICZ5z|F@2_8VJ3{QYt960v9PxCA7=@t0KpK~E4y^T6l^Iy`fopNoBU$a4^DKX@G
z`3fz|Y!v5dAradpU~VEzX6G`jrC#z{^A%k}N@>hq${Od7b{xZdWFCZ(YL^R0_ZeJ3
zCOYRyr-7Koai}qjH8DD3xb}xrFj_v|vh*XjZr0Nn3nH(PIkP*b%$UpN>IL#cFPZiO
z3@Z2;O@k}>Xn9wyM7eGhg{n+R=fsgu53>n_OjF;GGGk)WTdDUvuNh4<i@zR+K@>u`
zT<>Mut?Y@it{Z-n_8TH(VA<rKMDoB*oVWCt0zKf<Y{QrLa3Cy`rik+ogE4Xfx;#uW
zC9NxO-^8N|C}rY`-qnZvYH!llswEA<SHkF5*Ex|CYOur@NVuzPo3}r5!9yZdz@Z&{
z%Qjlc$wCkeGVQ^(^Y45ZP&0lQxs+YpQM=d_tn1KSLJ8FXtXp9D#t>SDE(pO?+84w^
z`#-e$KR~ZkNJ7~WNb|Y1^1rb<^InGf=Uwu!=AaC-HP>m;{QHIShA&6afVcqS;Jcyj
zet(eb;SaDZRu3ZQy>L+PBS5NLf_M%KhdWW?*zU(Yj*sjISAdXm1~RKbJWxwGxwkdA
zupv&nqlv9urw(c&7lY8R27Lz!I=(>DI^F`4e?EY`c<0GU0}R9n$mw|A1)*Ut=i%Z$
zdry%9<VOFR4(W|bfYUGM5;)A4j!dddhcsN8x#@<b7}Iz3W<Z2jm>vUZR0XZ^Vb+*(
zEVcrf2c-tCK9gQxzx2H|@k*m>&P9r;0uGY}>BtAQ&eDyu&uPP$EcYGh8Yzbm_=0`u
zL7`-k*-98GCtl=~C1HivAdn);_VNy+$#_-|9QIjjTzC+5tf2^mOY;*~6XoUQD)STG
zf=F!Qi}kxqGC90Kh`Y>ql1b4eG3M~pc(@=ju&fDTVAi?`6gW!x9*uSW;0ZyHl-*WI
zU;=7M1r$h3-ruXa7#Ik{oZd*xh?3Q|AbG4T#5l{cRKp~u)FvvT#lfoRRj5>9m)+-=
z(ZZmllcQ7*6v0hIx$iEz4NB5w!@JgeuVwW!TpTRy0~E60<ckF31k9VQbklw|zwz0I
zpx@hM{od-OoJ59DAzUd5W@dTyv7Be_((>I*>joyf6*Kl1Si$H(_{RmbcLO=UKi#b6
z3rxS*^JAbuq$bs5LsJMto(NA9?Da88=ai}Gc4;niT>|y>YiG6XL@Yu^>II!zy!Kow
zwZ;xE?Wq3ng<0r=^yk+}GYvI^wIPzrVaPB<hZ0&SI+C{$C>ZF0w0f`!2}A$MK$dqQ
z+{i(GDR3t$KT<`MS4`;_!%BnXap|!sf9}-hjgcV!?rt)++;E@Mfq^J8b^RqgTrj>D
z(fkB)(j5#iWs)nN#Y^HdVvHFvb9AaePLB4|3rQ3Z<o(r#Ql-QCmHOW%gc3VcFCgZU
z^L0Ul1eMxsi{PnS*vO7X8N_?CY{aT>VF55@6i*5H)rV_B-{Y84D~6PYkn9p%P6aG$
z{J$0;4G*J4Efp~!z3K5c`G_;fd<CH~E=K&!jh^SJb)?gp%;w6&l2Iw5t5mLd+^t%x
z9q!c*t6+nPi;w1PmN(^jn5|4y08>yfB1B3N9h$EUE$~B9#(fnuh~44_&a}~2^+TC5
z)<0A)8lBUQ(&yo1HU@+a-yiy7@D)3mHVe7rV4!RQ3;5r=Y5#TiHRzn!4ud<)1d363
zxIKFT$(A<&DE2&c_BeI_?F2X<plqa-*eg)XK7d$vzs*3TKRqwc&5-BwtpUh6a7{S*
zUI6MMpes?d)og+6jF(&RsfNQpp~w47WZBsBa#G-B9+U)RpZ~jn0$U!yN(+igx&G+2
zSZ#C-*y6$u0@TkJfIr&vINk%!GY(*`y*z_MecLegJRdL#@xz&>*mL=H`Q5g8)tWbp
z#c-9MkBf+iG>`d?SrG=p`x;JB-Kmd8?N_%pB(ZiR4U09A>j3q2G?GV^n;v{?Mk8f8
z<tf`|7~wk~KREaHB^qQ{749N+LDdNPQqn-1lz?7V6ik}j*O?Kcy%F?@7Nyn|A+S_q
zBzz@|QL1?&nY0SWSDY#uba)VAc1rF*OB}=jhXD}Bk(!#iUl}-L=rHaUvik;0FQP!f
zgemF-#ae=%(bC*nrE<sxG9xSsFW6<b{57BXA{%h55s(vL0=7w$%wzwn5L}MoDN49Z
zL5t|uD0gTkNwWwK`_+;wTge(SliLDsUi#XsMz0ohGaX;wNE<ZdWC}J+sgJ!K&Muq$
zw60mJ{Y}?P+AdaFWdOv_%f4kmtrdjrooS(&k7L23iQ=!)ZvfA3O^q9*T6(zP<4hDb
z(^PnS|If*5#Z*s0fDi*#0cO#{^q`tE`Vq}Hf25sbOs4neBrqUCzhx>rMVQINd^|zI
z#Pk`{=+d903|J3p=22svG8mdgi^ZH1WjO|+q1SBmte*&DDaqTf_h?&<RY>XWWGnvO
zf&FBEl|1M0*q+O0y!50;emnatOV~x@B9#*Om=-Py(@*@OM8yMGSnq?<6zVPiBcLlY
z&5NVs5vGzxMVtAh6b^5Vu^-XSkehBTH5q~({yM5Ql8P`HzQx8!yi$TnTC0Pp)s6bt
zS@0DT$`mp~b$8D{YK%=DS%Hyg@#|kV7$<kYs%u%F*Q8giRjrYZtSsMfC`z}~ypPAj
zTVJd$q~Y`3#XR!zIAo%^t}bDGFY9Y(nJ(G^I++pon`~N;U!6~+fL!nRrQHDJcMI2B
zT~(~3el5AHMZlGk4ojTu2=NKHE@}IG5Jxs-s%}@CVhVA$R%`6@8ey6po!zNl(k*pc
zY)SvpF7l6mFvykZzeJD4iCVzP9Aa$vry0ST>(CfIf1!+voZ%j6Bm`n=si->uCyXPd
z)pNOX{kr*^?<qh6PI<vRhKpSlUd~C}{^vRkfS%`|_>CXgIibtbZSp%(`Us7uaHg}U
zg5JPz0i9>vU%+*I3`G~7LXY1IGz*IaB;i885FnjgzsL+i!}GwMDZM1#6M0!j)a$q%
zWt_Eta>8m>(?cw%gKSc=X>+ZhqNspD48sc>WH|_GvqAI`p_wS;*(7Fq@-|r3$V3fh
z7B^Q;QdW;N?>nCZ+YqE*k+`K7?~)xgqokuWU;;9t`Cd0_21zh&k0HWR;_WalYGqGP
zPfj|Fx=1T}J^s5G{?Sc|2CE;B9!QT<;a=fsx*r1L0nQjQELBLPs$${|0-8f5@&sW-
zAx<)ZhP4E(1d%mi<ibiss=y{CVbt)E5qm3C?aV@P8jS!z7jBn%>xpl(>SsK74`}%y
z*2AzPF!Q_8W+ODUin-dAiv<RGL(Wa^om&rcx2061{@b>-UmP|rw1rO>7vE1`?z)Le
z=QL%<B}r+HamvtpoU-Gh0w&4w$#3)lLY^fv`ZJG~Chgo^CZ&>IXEhl3(lOchL!nq8
z!YtfdU&CLcLN%5M&HnRt+u%%&@&qGqalri=m}^8wbEIfX$vRJ8aK@RTcgo~7G|M9v
zVs<&t#jMy`ls2@r{S%2h>tLTaA@Lwr;gdJDSj#V6eCxxJ+!yzcvPwP(OL^oq<eFOC
zkJTLRb6MHj@X7;8`X0rK<zp~oovoxGoh^;Bz*eDN{!QyLsAy<5l^9%Kp*_C{ivj1P
zX^H+zYdLGapRG)k=~qM3YE?nZ<IO+kU>it9#Z7~AcJhr1+5UVtBzJ6mGzWDSou$?O
z+wwOG;f~`DY20(z;zcxZGGp~Oc){|DnY1WoC%>PJq`}MuWN>=`R&L|&CLZ|`uL=ca
zSadiBwvN-+SJrPSLw<tMTp_RFA9d;e;6xc_y0U=JwRi999ZZ+dOn7J&;OQe|i%CZ=
zz8ZEK_3~~Ia|cgM?59O=BV^id{}nlV-Sq*c!04MAJqJn7ox0RemQ9BTb18A@_i_<Y
z*VX@omRoCbCnNRaZnlDcaV<^2iBsgD28m{VQDsR-YsTcEim&vI(5co2wtmYyUz~$2
zkPizN03fnmFHdLUXT{pp2oMk+aNw{3q={bo9;YjGAqg4){&;1<@r4NTc>nF?9-8b9
zj-Q==i@g`r-vjV|T_9Ml3vl?@KYQxZ`GXfCfuGxPZ7XybB<6NF6B;b!s8mMKNWb3`
zdF`3!SouHT5$J?pz^1~=!lHEfn98(NBQrM_8b$du3@q4ETOlg{{p3_><j>Eq!Fmmw
zeC)2X6fv#`S0uYVSgOb;&5un<NeMGAES1O28Bhp*!>eh(YzK__Z9Vw%*1_wE6cZ^}
z^2Cm~Ex~Csi!-?p>323PFLBnYIgv1`tgclD&nZZ20T)y(H9S9HIsE7z5+RH5<lVA%
z;gx{7blv=yh0EPUwW0qfXa<2R_1$R6P@kD>kpg!5W|^?1w`t?(Y(d}aLuSq-!8k?>
z<d{xit<-FB=s9dUWGAq)Ba89M6X4;Qr_9O`L^R-SW!Fwu<1uF<u+F4E${-2$!A{ug
zaF`iG_UX|mrJU)nliK)=s2Ti~b8=W~jRYeiLO?rXM<<SjDBAL1w1GSGHpf9tMFk|q
z+uemv?zvRQnDq!O+vwROah5@_17I@Mbq+sYN3DHb2Gx$k!`Qs?ozFVZBJ-0C*JC5r
zp9&Ti3Xo?h*wfWlyZ303Q}{RRc}29T*ZQW1)-+Yj$-|4Lv)o(>mjr5XPGSSb{ADtt
z6X}R^j>JXb6p4DLYAp6XpRtNNIvGPRN`j`8^@F0k20QwFw-9ccO^BHVY_A2%i#=|N
z#<4$$=Kwi_Q-s5wB1R76ko`oJoiYB6TQBak|H$64_2!h{2XW=^`R3hv{Rq(FCbUgQ
zrkDNn#j`HvEo3G@g<oG;A7PPg>=P_vu@>hD0-?Ts%(?P60skkh#>S7FvUYfu_|_Ir
z1H%1MIAySO8m6Ef0=etDjn1VSKUN0$od_kdL;!R)`Ntqhj$ylp(wC_mA<b{g&~$M+
zSNT#6UFOrHn;o_VX&*hzTx4OLYo#xi{8tAVnVE?i<l<9$zGz-q2cj^{5&{-eA$Up`
znRi!h*=|^M3}p|&&V;I>#PF?a9;??_18}{mttnPUROO+_L7P`XTgs3Cwuh?HxyQ%H
z6~yVw;r=KoWg(uWNmUf*k3<vKf&`h|hgVl_&3a_9vKLowX$An3oLzgyL2Zt<oWY(a
z5$~=jL6WLSf{q9||7jL)k@yJx!r$2lJd#|efX%4!7is+Tm=)k4Jc07j{|sDYAQ$!+
zn%xZ0dK@slfRpV8a@l$=bI-nCZCN0FKTM)T8(*Gk3q$Mt+Q51~%nZN5*>(bX1|@1Y
zNRNXCxaGHYZJbd6q#5|wGqBx8r+1xLfXKL~9+2^B7mU~*c}%8jW>v!g%hoSVLZ!6i
z!;K8dFkZpL#x7O(g{GWqNQga;47s<ra<&}nki7x?_?(E66q5INi5hugzTVuKP3d9v
zsuFs_l4aNlg@uvW%yIH7t-Y!kmfl6CdppwM+9)7o7KmB}oZbtNVq(vjg!*wqB;u?-
zE=G)+3EVtPp#Aj;D?lq~5JGQ;NPv_k#xE(%h>4+<qdxx4cuBdo3b;Q@6p#xw@Myu(
zE5xJ?TzDkhVQ1Igla@SR44tQd$V-bENM|qxtXo%;H5sHvCgbHiUXw@!TC}2;j$Yf2
zmrn}H&bvsqlD$fKtr*3bA>^B5U(VI~UP;%1@9$HbxyTfObbG%YC?(+>JA~%>d%R2D
zm1+@&K`2A&SnZy^X)~u*Xq9QxL>40xK?+hJkg`l_o+j8*uqQ4v%pc$TeSM$$Zz;qi
zqs->(vNP<)=kNUmZ`}7&@czy5^6j7;eCn~{5)*T&2nFyX0fUJ%p~Ok_NLaMqwg8&k
zAP59WlNvQ>)2n11%h}KG*)!=%m4Yc*TMuc1iipG|32UA)Lp8A}KsqQ;7(a_{X@cmZ
zva%d3_@3-!$?1y#J)@(8IE)J0f|?k-JTxjPi?B?codLl5VnTN>sA1{UqjTfH^1lmR
z2lyhiRReZ1$(*_<3F9k^HD<?Iy$^C~`0lR+A-%}aC|NR#Kl8}ddq;HS+r|Tx=QG%<
zXsEz2mNANdZ0dZBOF-cEpOa&!8j9=KLM!F<tp4yX_EgPJ!Tk;P#7}WTTEsGgr<UHU
z#+*6^2LDw&2t^e^O>>rC{NE#K{&Zzr=ne1Ej$b5(IFpLU6E71pr$!xjT=aUsZaE8?
zKgprWL=+joA5H-A_yf99uCA^iIQ!p)OXDx)ov$OwxY9*lY$DA(|G1Fo5@=DwgK~_1
z)2Wx^P>3-80mIefK&2ikPL<2D>`!2&ykpB3x1-Eos>7NmS2+qm4+L|SalsMA`0~gJ
zuQfw9wcGZ%dz<$#4j$)pA=z!~#=2<^t2m;06^x%HNqj!24BGn@kBRHHJ^WDf`wQ*m
zI4)Q~0uUXC*N=NP#mY~uXpmzbJMb?h=xAod`Eisc-scQ(u|b?Fl&tyum*WMr@Ash}
z|Ai`veDLUv&WaNtj=h{}i#!M%kB;a*59NTiiaN&|qrcfoH5BYbNihLYFpd5Wn%4?V
zTI@rjcuf6xml{j)m;S3bVVF95dSpc_uAmT22_!)0Hv}dSap6$jQh_}o){vVTB9Vqd
zi9;g|k<g*|AjUQ-Ej1WxYQ|g|M<L#QWu9GZ5|AuW!24EJ&qhAcS>i36k^+s**sx8}
zc%M8aaIce8Q?iw&Xt?k;q}hg)f284hXAq1C*wJt>N26*)qN(u=?CM3TQy2>J4Q9EN
zF(L`D(o%>J!m`ca)Qo!P*43^)y`!cjq*vr8*WR`>R`AHu5VHc~hd2ZFR?zVQ6u8+P
zh{m3`QdJ2M#D;<2%UZSBL-cK8RXSd1Kqi_`YN~3|HyBf`EShWj?^vtDL5i|AGzl0H
zO~{=0e$a?6cM(4$D<su?{R%*!%4fM;mRXkU>DhUCd0AOf(xnT)0IGqiAg4^IU{A|6
zPn<vpG1v3q#t;1FZP?jN%(H}a_4%xemFlfvdDYLe+Z{o2bi~Ii1xIdhy*aP_z3(#p
z77W1+mF%Vz`XEgxSISF{gMk=q_YFT={l5{bXNLIR%}1>#NYrMEA$@SOUY7=u=FXgJ
zP}~kHJNu2ds75X&7c3TWLPlk?F|82I0;+<uq9LDjS+ADpUYRp(nPUfknX@#2)8zU5
zRoJ+7EvCsyk<=hsucMM}Y{f(jhGy@&ez07{gn)3FU-nUdwvIe^%M9a7#l|rTC1eYG
zlTU951GI4n0?Jw)9a~p9Wt~`<ZQ*(eMG~B4T44f$w`qx9=eVzyB}EWV!tMO}b<7Yj
z&B~A1mtvVpc|%?2<0Ql+Vae2!#Q*z9;X`b59Uo8W8$N?r>it|(`{I<<cydwOoA{K<
z9ynF*(Ye}pVOueO$cYcdPVD%zKS&w>0!5<Qw&#rKKgQiC-llhDv|&2(y~r%BCtY{@
z)#{_}hPP?@pJw$m8@mQ>^eaWlWA}?_U{eB#v8d|;^)b_<?JeL-jR?VS?h<$H;|aJE
zr^PzG^BDF&DP=k54JjTs<I)`b*K$gZSI}~XKy_rlZ3}AO{HUGOR3kD)1V8@NV)@oR
z>l)aR3j2jIDzwHPP{n?{{{RAyBLPzA`nZ);)LTpO2Rr|)Zkju&Q`f*>P=qZMOyc)^
zng5av^3j!EZGr*;0|L@7+s=#acf7hTvfB&{WFdel^!)Lm`Qv!eE!cfd_FRzkTx2bO
zw-lB8x^V_&-9P+yAa)z;=tHBB1chgF_#P>7ti04klDq=7apVr+exbW%uP9v~(mX?G
zNLC@Dd6*JzMgf-K0ly|S0v2R200$-uRTCbfg1RKs#FP|ePG9()YRA5HRUMbe`oME>
zSu_>PHjK1aBY^ljyb6l$93&xxcDFt+#M>Zu+QRmnggXZPAZ2*Uf`y$iHXq|ifrcAG
zNxRCEq-B$9O9RV8MFU6x+))@>A*xbYy|)sm5Qr3ndInk6Nb8M~%78T(f{~OVe@pSc
znw66)PW0W@p~}#)DQY`+kVEA{luy~t0jR!p=MgfXL$h*eH@DEGhQ)><a)wW{V79R1
z`(dqz3^7I$gUA|@L&nxHA(SwboTYnC1*8n$N)&{nieejV^#`nZg`KyhUv^O%H+Y&G
zb_i1z?)ranCX2SljO+keb25WkoGeXN4EBt&=^IoD92mx6yD6Eh^O!EFj*1e3ayXNg
zSK`jZ#$er^F1SLgpqe9yJyI{?O$ejGUL!cwoV}xgFuy<&f6l6lctV-sBw2={K1h$_
zb>;L=%39^XMQF7}&iJ-oFDUhz>k*>l%Zf&ud<5yeeFBUo%dqrJOkf^U$}}=q26k?4
zH&(0l)Ej96&7J|xAAy9{u<sZlM39mR>=FZ1nzU~jz`CU~UB2dIT?^jGjlWLZglz;X
z%f|WE80TkTnauc?K3VaRw{~epfTBw0Vac2utaoeL{X2Q6ewUhzo7<)d_&BKzt;*H#
zYan8|YlKgB18phbrAm?)hYpe@MP)*a50N3roCt-GP|b-y^~x-N5Ly{@UP=Gg?fZaI
z)O69-R2|8m+a}j5`GD}Nn`!+_qau)nh-qsWW>I8~i=dyA6dm!yI$A=RP0z-(lK-1r
zOSODovY37A_n3oYiWiEo|3F^$!)Yspu=y)rf5NMV*xeKmMfBsV;fLwiR4#tdvcT(n
z62-TRD=`$suHZ9;<Vgq9WL5-JObkEOZJc^I)<K?y5@$DkozOmY^*^!3jtW`De53zV
z(01IB4fBW*EL8~nh94reKRisjSr<`;=+Fgh+Sk_5X?!E?xl-!6st2S1Kq<L5ix<6t
z7OxuJf7_>h|A>%vLU~^hCvZwdzlc5p%)tHQfp|}cH#SD1RX;Qu7>a*~u1{Z)2{(yp
z`-5k;2T%zt-Wc4^@;g(p(*(Rsf`D?tIF<Rw&Yp)(D5Hqr&pY<?jeBT%VXfm+KSB3-
zb<cgZGwBA{wSX1sOS^ON+Tb<X@K4aR04OXLwL%gl@*FQ6^*~*!#+JNG)9Zy5Or4X0
z$zDabULl?Y7==I)1c9JY&6E`(S2k75>jM7#jS3@0>fg5yYanlH0+Q2MFJlUrgs=ke
zLyUVBZA&3xvgS!LIBU7O72rw3;9w&T3ygs0&Q^=O^5POHgx!{iLE&|=BpyVr$VK^O
zmP#oP36%&iicyuKnRHMgrqYd`mk*XT4m07zf(3HvWZHHv+@r`t0CO)cmWyG``TZHS
zZ%|niG83_;=m5b=W8S&&<j&l6X=l@KQC3lLZ*>?KnF9_BoaO6|l{r*M+Y+Qe@IVpf
zHD^jrw!%b82%jjD$QKPrT@z*`KYu`c(IIGLgK<Vq{l4wSTXr~<HOt0yoX#|PYs7u@
zegF{Xd0xIe5&NvPT@eB~gUX4qFV;d)T!rq`A-G}6b9e&{Awt>Gie+5`YE3MuO7&(7
zdKBV*B7$ujnl9`r$N~1t$n?~4T1#aLYS&IKbTE)MENSM*NNc#%uN-KguzPyWTeq#~
z&F%jxX`|>95lUWNs$GgaYkTr9R~1*r@+D$ubX)IrG_ND=L)gF;&?c8^?Esk}MdtMQ
zyvN+DSg~(u7fmSjOTq{+qv-NNR=$mK{S}*>c!*~r>j$k%w$0UA(Nl~vCWK{5;{0?R
zmCr5zI2kIjX-x1uO}7WpG1)qy?<Kxm69{M+W<)q0?}YNKr%A?aw?Bsuvf?kB+-Xr_
z9#;+FE;#~<q|$Kx-{XgSmaV2_<swX=MT;dx_BrR}gx}1ua*akrJpNm^jKYn&$bGQ(
zY57PLGoZi>uD$|^JajZ6kbV-9670PB`EnvU3n^@9+l!;%L~MHS2m8fB@vOXEZgG8E
z#yg+X`*NqPu~MVIcaH!^DMX6dx%MfE7Vs<-OKZMtqsBj;WaQ<=?RY{sPB}y~8SuFU
z5EFV~5>a@j=Nog~N(42MXb&oR{yR60VPj>@NpNYd_phial867T)hKBylXc0~YPbl$
zLH|{>tgH;sE%&p#&y;Fmdhv}awX*W^)+GWb^g&|M(-{cE0&Lqdzz6^npl{G)_)YXE
z9Fy!Gn)M&`;rlk5qu2QTH&S7@L$K;>6~C@jv#>jXri+8rP=5r7|2dL>UCXqb*x$tT
zp2t1t0BG5h4p_(X!6gdW!~?wR(pP5(et!;(9#)q9ZaV=8p>yMD=Itwsqa6Sb=mt0x
zm;g}xVq`i$(dP-UU#og=M=}6$(K8wZfRNM-dA&cz-+n(3owU4!=0`z0;hc2uUxOGi
z%0U*kw#;!mG0DjY6}skgf{Qy}Q+8SK1L1k;su8ht_0Xa_4~Lv_6=K-_=#)jGYoOAI
zCZ_!KFe%pA&=})Y5h6wxgg9ZzBbP0eNxz}{as4ysr}QvZgePh{e8|M4KA3}k2=<DL
z0R9-86b*AiS@_7Zlw7-D1{$g|jQuh!N;ohPkWBiGh0YWXYZgtNoFV;Hl93k=AI>yl
zOr-o)a*#K`!xbdRSWq^I_hVr70%0Q%Yc}bzt>zQj%yGO&+N&Z^F6(sos#UwH8bYPC
zcm8u$y*8~miYTmJ)-tY$QP8#OW7R?@8>B9Y5GIAwGYLNKAOr@hmd`!s`o<y$Z<@a=
zfAZ1(u%T_%`k&k@l88{ojMJuutJgFx3X-osOywMA?wk8nuNkbd&j)hCIKRvN%9n;s
z+2lYMB2Uc{<;|lXP_dx57xNJ3+VIXmekYHU9XF<(u>rOjPcHR`JX}ed3<NQtFa=L8
zF<r?XsqPgdgpmjd0?(=NV1PA?R@%DjwLU4Z;X|qL==?_Ba9AEDpO6n$JAxPoLxS)~
z<i7SbrtJ)$%DlT_<gms80}h?4Yj?NslQMX=$<aSK)ciS!5&66N-EH{0mz@uC01|6>
zj6N1yw!qK?TkqhU`m1W0JapoR@cH=<Oaap?Yq?ADs0*hFZ|F$)Y;lYwKCzmhTPh4P
znM5LXEj|^ye)5;*%~TeAmpB6HC1k;m#+fQjk(`0U3oNAHZ{p#D?mOJ=K@V;8jljuD
zW*U!GKw&Q9izt7pHNB+#ADvImY;QQz5GPJLU+*D6<N@X#nOB7;fBNH({ttF*fb7#{
zgfCiVGd9^kX;TJ=xKa$6P8~wfpf(GOutviR2)NEu0}k-{qkrA`bbswv+0)0<O=oh+
zq!Yd;SRz13@q(tD_6!;UjV4xQ85`)%sq&}6MuYbhp~(Dg6a-%rQ)x;1`gIdlgzMMl
z=StK~7|QhVQ;-M#t09OHbqV*(@}~W3C$KcYeNPl{CO23%G%%RB%I1DbtaeUABKI`r
zB^Cu>E@;r2PObLmlb?kt!tTGdmX@BuS~IWpg+c5h5;U5{Kr{GK2kbszg9lXLFui9_
z>u0qbVd8&BX`qmiA3{BV0|u1yPJ$wChY2YzP?^KOaDPwTfrk<Q#}VjJ6~FtT21dxu
zjvHds!k*^^OWx2=0`n{Xp${+faY|jK-2gNK>Fw|D_u}`R4gr3&|7}y}=H@<t|ABrN
z)BXY3p7m7o&bmExb}~~3Bp^wXMLNV6BPNipPihc1G!VV5+AyA>m=T*>{Vk+o@<8-k
z1DJxwZckgKTsLdG_MwkAnJE?s(*LmD)?g%jD=qz%4-T#-M;+Ds8RU~F*6sjAS@MsP
zPTsoHqFkP0g?<=8;z3Od75i!9(YK;mdW<JO>vzD9chWM!4TJcXFt!A8OfZb_cK@Qe
z%%QxLY6&vL6ICM30r>hF74r&U{$bR)fT1KPnJ)@Qly(wVZ3WdCRqPB{<3ow2C)jw?
z+cipOownN)+FjJA7mtpP2KL5)Z3!5)ImCbL(Qz}s4>It3m>p56Z8lLH*yK(f9c?JV
zI<b%DkdEmKTj6FZ9p2&Mvb_0HI*XO}wcR#ZwW$TppPG(xM{l*{?J`LUbJC^Mx8#g6
zd7LtL#}0DuJR;>X)!faJa7~`KMZk1Yl1xigWEIcbv;-`$aj(R=-W(!;;{8yOkKbMs
zdAOa2{Mxc5Msd;STktPrBBWvExtP&bd!7Hh3ZqW=-U8kNZ~`68t1cws&j;cgEwoU%
z&5O<3#Awf+4Ns7{%2~4_#PZhSqlU_SapPrGrB9Bjyf`Tbvoau+O<7_{^XqrZdd(kG
zOT(&%>+%l0X*&+TMd3o*w<C}Tvgxw@hBy8HwE%nxSTeJVZM(cGU%K+FPxFUVSuoM1
z349<Dl<__Y%1No#pST?4*e0#E|JCdiXhcP@eqH{AG^|tjE<vL#uDH2HbG+pgqzL4F
zXm4xtl#Q6RUeNdBmB~s74qN!I;oZK-^yPQ^JR%m?3T3Ln%Wk4=K{3Ba&(_t+lgX`|
z_$T0+;J7VRN&<Q(Rt^pZh3&XFedSE#J!zXv<q0C=M7Y`e0^-DgfC$1js{tuPzonZx
zI#!O{3cLc~bPbeZvFjJDH=G2am3t${OrsagP;_}KEi&w|P>)~CEjvL382Az3;}dt$
zP;pFbqWX6b`o*NhlfxLjPwze^$~yq(h6O0LJ+u{p+$f89s5x*+csv3|g1+|ecGrdx
ztHfY+)&iLJkAHmr`=RH45sAX*9I6WN1B?w^)KIY6fHF25zpSqQ>3;ZgdE*b3G0$V*
zTmhYr|8An(wqW<=)EocfRzDV&$ZuQ8`H#C$tuFNH6?NU8xY!v1szb2TS%1E1g*rvk
z-;_>IPrqyeRM1tqIP_)~z1vNO)H!Z+fBwEh28DST^_KQy1S{prQh4oRLp*`L(JPYY
z8`gI2na_ch*kvXZKr-#`mffZf7OG3N`UeLGATG>TTwjj4w1{!6rbqA~ZYQG*hzZK_
z9CWqob-uIi0i`Q`r>$@&Bd#@?rHn8(zJg2%iV6yPBsL7EWSLF7r5~(17CeatNjnyh
zE_izr7cA=jZX^{5Q7o?CCT`;wnSs<}mbK!8AGOG|tDyiH4>EWtohd1$G36NpOyl_B
z;5UiMP>3OYF0qQGNurI?dKwcM?x!;S0{EE|*}~qQ!xYt}nq_CJHWSEWxgM^c`lj(#
z_H4W6xh+s32e-62Z-JBZ(;7c5;d?s`&F<x!4zdMBqOk49bBE7q_l8(SJbaoqH3=4U
zX_Jb3%F!m2=#e!k;||8mw8sLH)Rdfa|GujcVbfr7^L<DgZ4ttv`AbhTHTz8!L&;*2
z&~~y!nwlrBEKSXI4)Msg8hanL`<ScJC1RSq3uiVGhhcc9o-9<gb0`u*dD_&z7gmNx
zQnsU(W1N(s?fA*g!d(GNfeI_YZjB=iZhR_ppO5`1Hyj|c1~|1ztvCrYPM`9~@r{+4
zabrXxa@-_hD1y7-xZW3VU3Quc0>lx{md0goonBW8olLzBFS^-;h-pDYsfNuwx|^-~
zsDcY3PZdwJ3N0Qd0Yo|B!<jdawv6tea^A6lj-8W49aR=1jY+>Of;6PbayWSnC2OjO
zLhwKxmrj8?a9hwwPfyR#5Om$w-nm@ELSSk502r9s)h2|0`zX<mgMVD;GStVUNXTVf
zmo6&g#(2Iw(ob-r-=1y6*9IF2{|KIDOf`<-+{m2}<0f7MLyC0rOAuvf*(hWn^m{Nj
z>Bg?gL{JDalckaRb=Z4C37u*%x`_fu0-YY#d~p_JeIL0=AJ==mVLWeCvo5)FIbi61
zo!Q;nDDrX7g$SD=LyfOzhOrRN!ZYwYq5wV*504eIz^%SI$^i5AQVWB1?w~_GpG6>$
zVWsyQj&aiy^+_|)g@A!F*uZ@;vC3eP9&Ycv5$DAQ2m;H-_U@rb*F1IlZx_b=^;@3f
z`s*&_@1J$gJC?itKvDCJCkZIaq6g0GZq7YUXpr5@J0Nxd#LqupZi?N7bE7|jVY&D-
zl&mX+bU7cXgt7UGTm%^c^7+JFkHY=-SU#dm7f7^4=BsiJbBnJN*g`UC(u3-YQi=lu
zF!7tJgUn+F6R0?)5M!udgz`>1*bj18f+Oa5yA(xQy}LfGw%G7<dt1>{^k!@c#yPBp
zN|{(%($nw(VR{()5B!^7iRLUW2=(-(ywpf;bnnb1^IQ|B50--_62jmCXvyeA;r3H&
zHo1_N3eJZz9BFQJHXPYO`RSS*p=Q_HL6!=mgPe941Kt;hto<}LeZacwavRHwv73DV
z<{U=eg{w*#qvS+&F_t$?Q7$c+;#G~5I`Y=8i{U3X^!YZg>0!latDYU6C?ePz8B5{>
z8@33IPxiV(r>j$nzU<rme@85{()6oCCDl-1Vz^)tQz%|NNpUrw9K@&qLW?<fpXA2E
zicooq{cGiT@9NYekN>0Ttb?Nb`Y66MC<sd~f{06(5-ZXm(%miHy@E)GbT`u7DJ|07
zAT3hTDh*On@8vi1&iI$3<n!G7jdMQ7%N`tWGG!BsZByf9L<{e)V?_(?B<B?jb$%~)
zfk}Y=VRM<@^XB_hEtIK-Ms{p8`sA9X2ZT@jFamgA?&hB4S2y;270>u8z2^7`LS|;I
z7ot!^Q;`1hrs6C=_RHS%;8l@%oNB(>M@+Jy$T;Lo_q&LO?tIz+i!V4;lvb&tC%$G(
zVh9myd&%RHpGp3x5J2z3sYP*QbL;1Qg-bIlP*4<6Qa=mYKt;X)y;N2EMP_`3NY#lP
z-Tw8Xdy}S`A*dQTpNLJ{a_d$Y=ecE9D^xz(X*8z~A72j(0jZd8zVm4*Xf&*axkWi;
zenhf9>f4*Wy;%dY(ai!eUr?KXm}u_I&oGu%Q+`T@N6N5*9+mz1A6e=}iG>}E(XMnV
znH63<3=z40EM3o7-gp`0C=HmRR=XJna}n|>s1ET|bF1?2PQ)8coZkT69V@d^%KSSX
zm*}De``mcXw+t=#%MZpB!kW)pFDP=@hJOIdNi{-HsN;Frrd5wGyiPJkF{4C{%VBt5
zHWW5DE#2Drj3UHerDvV{_RCyaR@Mp-N#NymyW4#RNi4S9ZdXWr)KAi5Ze8iIoSHLj
zJW<<QTikb<Y2SOoAANe<aen0m`NH~iLXMs3YK@+|ItX0#doKMzX7qzSLXL7jwN<!=
z^yXIO1%oy2mq9&wX6S2Cv25};rr5srV>NbHdX;{Lc@&xBZ|+mwWQ<_ui|A8`+KvUp
z=;^k)3<^r+!^0XyjPH+0I78v9m}sJXM01W%k$9CD33oVC=G$^T3dypvu#w%?Vp`-_
z7~PVcjfkiyYGM5=^2jHzYL>*XLoKH*vPz8Ot3&oWviL7)H7(|*3OlT;>;}+zo{o<N
zCq71K=9O3lb3D6X=7g}@FV_O(fAw@fYt7Kd-~pGBzgC_3nBPK5jQ&(CxRr5m$oV@f
zRhCPv>Uq38P{jTCXUHmH@{!jl5Bu2ojE-As4FX5TY~{Rv9r^rI^RJBb%itY`Xkrvv
zlQ0hNSvU%FUXBCrn-}dZCXM7lNy5@jm&oeHtd#m291>Z=*ttR%+Xa`5n6+F+PTV|W
zD}Pt!02;GWZPXy?Fjbw&NTDnl9OJcNt4HzqzaV<YXv;gNpWiz!pW#hA6&|oaYxKg$
z$4ZIZ9^*}_*nTBqeT96SF;vd07y34NzOh;^_hq_GB+9b@6LMN3YHKd*-t2O*2#7Cs
z^%k0k{>)i<G`nnp3cuH&%(kR%g|f?D{Gga3AN`b<^19SilCXtB!r+**k3d`>`4kB9
z((`c<E1%l|c{;jf6^YV<<7H~h<NQXz@&~NyFZXTx>8hhdOhnwdo~%TBTp4}0<<4@V
zdiW6ljKgMc({t$Kkr|J*mligdzXd7ub3BL+riw%>r<K@8-%U}B-kcGE(m=8{)5a=c
z8R>SPhBsFo84H{@Ef?)fPb9W%|L`b)O%rF=)F_(&yUTgAbceRft*5~BpwaU5Oz!n~
zfzmSyqa4XiX)A{comLK9Ay9&VYj1P$X(L`C*MyKbBc$fn4ew}HsO8=5O<v!iN((}f
zg#^Y<i_uas%;Hs#ZV2lG2DQq;89i|+CctpJ7ekK$bgJg@Pl1Pk7IVKfGO1Y`LPD4e
zdR~4WXjU(BEUa(GYTP=Z*ph1tmA73>T~$H5n6N~Ld^(M>z_|dJcY&b#Pzpkoq4oag
zMxBa5Y6yg!ef5t^v)5WrsIGm}CUXUH98~#07tM~pR8SaNDMA#BH0Pw@5EzTmO)`T8
zS*6-6!5^sf?b>{6I8Xlz;8!S}z0MKjj>gzMK(Fi6wCF0Z&nlS6Up5N7AYXtMn<D#?
z{iKjk%n%k)o$%0Z!HW0+wFGq>Is`toODcnGYADe2E-bE@xBV(xR21wrT!&CD)ai$<
zN6breMy-EGobS%leAs*Nky@G%&k(84NDNd1uhPR~*?t;Bw3*M<QXkUWKAGb%5~wd9
zK(Y<Xn49C*FJvZh<hrz)=r*8k)2e>U4}iM6(S*t~@j@ZeJ)t`ofrPZu-?Ri*d4h~=
z=W8~*QUv6u5c2XBlocMn-J(sLzcOzkEZdeKOjz|P%61YDS1o%((PNYuEvY{&80RQ`
z@h;EdOfBw|Dti2piX$YHg1FgzEvD)<whY^R$&iHqcvU`$xz!hhI9kPf%6?Mja3+YM
zRQTBiI&rYHQG}a6VI+LD(l6Cx^DD>id>1jeN3mp{@+@PWA1%gk4Ul2ypLCbnVPm?@
zWQ80foeo6bP16Zupg<m6JV*=g5K>&Qb$55?p?s9+#`#=<!Y@aZ$!w@RmN8oE^_O09
zfXJl$%WdN+_6fWN1n6X26|BQwi9h(u_877|O7xe0YgVer$f<nY{`4>K13F<Iw(3Ve
zzOop}uCj$VG74Owd>o$AN{iz!IhKF^(g+nZ^ceYl*sY66K848X1#_#ZwY4<>_d^JR
zjNWZYx^M>MTa>_F6S0RHv&t$HZ?a4|;$*rNTHWuBqJ{18`qrHt8HeRB3Is#6vQp+j
z^N6R4(F$e<Lz~A#Lo&qTAt_YZ?DAZ)=cZQ#fUN|~I@+SM4SS$79@zn@EMN_4T;u+b
z^5u~&bG(14Nq^o?$EV}i_lkpD?@u7vHZhT;;$=Ef9R*t5pGN!n8Z#5TJ1`qwj~0%4
z-Jh5d5l7>9n!puf{#NnN^Gqu$OWrYaNPDP!%P+?gE<=eIE#--l4JWDAWAxrbu_@je
zd=0c{rluTL<f+P~*U|{1c*!YAhxVJZ?U7LfUIHX2?;<78prMT6?@mZ$`-U1^2YFW*
zpHG^|e^p{^`MGEaVI&P_`91^3bo0x7ITgl0382UpUZsgc)KMmIPWf6TM%x6Em4{Kg
z!QZecK@f5lAbsKXIl~-3_OOdi>6OS0+J#^0*#ig1xN|x?E|~80km+K_QAnEfg;?&)
zRyZo$9+obnow^I+cCW@ucK`WHs9Z6J?1DgO#=bUnxtb>(EMh>`Mwn>i%U=su0l`-a
z@i41A`p+*qC;tS^_&b!KJvufJ(ZAtzw9G*$Nc*SWi`#2zsbiy~8I5uR6n|0GOgR~e
zzl!LUby>y)5=)ti=b)fZP029H2c)0a2RkfmB?G$z5bL#icST3E#{H=kysIXalPG)?
ztA?8-riun<R}IA2#aBHsMVO86w<e$)yHJ#CZr3FL*u>@QvQiPErDCMvc&83+O0J}@
z%v}CNixaR4`pw!KE{+D!uRlY5(4-gTB&6b!Z303ks2D<pS2r0dKBfL(Fvj_yvK8~W
zXVDHwM|XT^#xB7MK)MG>8J&ie|F_P$DW^%7Q`w<b!sZzQRb8y^hX8xYTvfxC#+lj=
zXXL0b7W{=(?~#+H!T7PW*rfc6I2$hVf^-|@fCQC&>RR^SiWhZ+s4&UKHJ-7k3SA2e
zi&{x<H@B3@0Xa<Z`IkyGgixuqcr6*L(<@9K68Eo%8@>GpJTH7Mhp%qD%U)85Lruz)
zhDS$6^knI3ZTvxOQ;FI~>X3C9lx<kYCsJj|9}6F3SYf;CPonx3@-A5-9t3uQ#wT^O
z5LhYX*@(sttOre$a&O}jKvRh}B{2sBd^7L`Xq?ZD6z|fas+S^*%N0!SIH6EGVzM_j
zUWY$B7cY{F`WGhis3K#X2U@sSI5#%cwUhC&3f0H*Ln?zw#y~+7D%&5<6WA0=Mh2n+
zo0l|Dh)Ng;9qj76J7q^F9AEO8KK%-Y0acw+1W4c~1TQ$^vAiM!1YAJY_Vw@GVZZ!F
zk5dLI{i6QT77qTMT^ku0c?tXOWNdD3?&j_mBf*T@<X)<wSez(GoXI@%K-;ikw#a?G
z^P~l*Bl##UF3Ak442gO4uY?`PQmI6|(n7<g-ue`11Kg6taiGs2f5N|!*F>Wjwql>D
ze@Q5M_Gx%@Y|OeMxIbEas<zE4hn|*=9BY`<Wse@-)Up8!Vp4slM-$qRE=0wvZ((nw
zSK&v{Ajfj6g%gV!pD$g8Y{CrTYE>}RDb#R6{&K4J{CoJoSSZWD0FZ)6Q4k>w`A0I<
z)2O?f;R=*+Wm_GZ{*xl}<MifHb@_zA8XcRt_ZH^nm07=@K=kIsd#X8YL}OGH{Bv+j
zMa(7SP4tbkAJ)(~tHtb9eqXbxb+H<MxJ?NqirhK9=Ix3gSD+y7J&Mg<{IKoTL<vU~
zNu|}eV|+6dp5U+1L;qv9vdi_l21K3c^S({u0QnuC68R?hlwJjX>SnujmC9vXs!R?|
z>1Ug(DF<%?u)01}#RR-^5XRc7?~ptU09;=h5q1(Up=uE!ol{-P59#zoV=sr0vxU$X
zw_l*|vSqDZcs^NAkj_Cx0u-V$Ym`kzM6nkduB;}UWg6^k-o6SEm}31joG3##l|Jlp
z=H-KUjPhcZJb9P(1tt_%i4Jz^%oJ0c@YNal?OjugMo63Ak=#c+vA;l-82Omt1ey2X
z2KAo^Ur1U;J|A}DHKR1oHntMvE;o2|swXY|@Mb6Qz^O?|rlPV^biE^&YwV<!{DHs!
zus^C|)GK@hj0K1syIyGN=!E4K%XH3OIHHWj83_uW0nOr%<*nMc%BIY1rG&z1Ulb1I
zn2~9~EPcEcB1z@8G3oG;h(ST`)|DICojY%fnHOReEWSV08$BTv#v$u<?~9)+S7Hq)
zR%5ogdrui$9j`Jprs9txDJD(`F>go&g_KK1%K~M;ww@k9{(_9S0?|raAY`(Ja%j4V
zd$_oqJ^l>S*Gd@PTpsn{3(h)}qR;_{Jxsz>+bZ?U?vq{>Py1&e6xqJ!$9_gEVyk8U
zF7};)aVo?yv86c+r(S2YVJ~PKsDp~R6ASP`Y>@_7G=FG*>+xMPRTN^#T0HtCa8eDX
z=6}S|4I3HZtQbVLc5Lg2`<k5J)t;MkxR|=>-yM7y3*D6HS!!HN|1DRgZuZIJtK{{i
z?BDJzabHUuS5bB@!jDj?7Itb^QPdo0>MIec?&F@rj{%U*VJQSnefCpx%&$ddW#DSv
zm*eL;XzPo-Nk6#~4#-F}YhKi!bV=OtrjpqVNkc03L=qvr7tXhtrfMMRmQY=nO4)5@
z?cvFZ(VaYr^)H2?X4>f|F&u$fYBd>sScyXc;T+Vc&y<IfU+t1@$Ll2h$VXu}wyp8_
z@b!bD%}sq=BIp&gSjU=eMG{f}g%OD4C1EGjbPX(0`?|YW{z~@ac1}Q^^9nkLxJ_c|
zTGkHK_PbbhzZnKrULfLKOMgm51t@FM`9-_F-EV|r;fso`^Zr?a?4#Si1@0b}%<agO
zP_4Z_S4IDn!dCLq#593ha9GE{z@c7eoE?*(TK}Hi(albO!cVc)wXO&~p%H;d#cg!@
zW4Xx+bh8VL0}U<1&H^*>gNMGnuIgF>O&=um4I4BvY4mRxANnV{^0BC0t#;Af{lXlz
z*&%5pVt)BJa<TbHo%F(0z{Ot>&;7Y|$&YPX5=V$(HpT!d?bVOtjEam`DyV0Vz!B_!
z>8US`|NPq?YF|@PF=o8_pSOx}uT`dW$W8=46>TEeJ-^Q!j7I(IIrK7+(I%0OEkb9H
zpVdq8BYyn3BeAzeYX_{2;IBcUzA@@BYj!^Pw(R&e;1yYlIsta{)^Hr1Y}@OWWR$yC
zw|y(F^6Og1W9wIKxGAyoif?~$S&7HHa;LRc$T{>Q0isu!@)6rGpGq8f)4(dUzTwDI
z8GuK4wi|o*Scgfyo<aih$c+p17r%eM_&5EmU5K(D{B*ld$UZo{tr{GORe?pw*>s8z
ziC?Z=-NW9ff<ZsVTRa=oX<X}b@x5}OuIppk0(aFmZ5!eE$ylafSpuJopjiZnRQSL{
zNxHviJ5pp%iK1*gugYX%6j55Qiu?kvokr%W>U#O;Cr9{7*~sg;BDJ1Gdz{i&sg)v=
zeZ&C)#OOI`G=&uKsW|S7Zuh;E`1UG-CqBDwZycw?p-u|>d5<|I7299d3K<z8_Pu*z
zV5SjFJLy@j-NJI{*>?{d@GW*7@~``6QS>p{r!u4TYWFOaSh64}-etv4k8r}0DdndA
zdfoAQ@Pl70^_RMpJLiSW`Q2m%lp`!@=#NjJn-Um*_>meL_2EoXYlle?w&ahxYu&HF
zANG;j^)^VwDzy(OCng#q(EIaVH^odEo@f2OTFX@1+)>{p9q?g9OW_T6Z?06>F9%ie
zE&@48_kWurY6=^V*`OUQURLZdTYLLVL)~)FY2DqXOz_xF)Iki6%P+OkjWL$o!K^3F
zR48kkZZ^pbNOk)QTXw!eJJhu0X&##fVz{5r&wdpmpvGaRBlTNKd}(c<W7U{dAwY<Z
zf;#iJgKTE!Q1<k1r?Pmf1jpK5a+BC!bA;Y93SUMPe`}jK7RL4D!SL&hf+fqfh$Suv
zLCmJWXef~=%JLVRQ}obWY<EpT7I~>%iDfk%R`2f)FVGK1x%XB8c6kQR6)qFkL#ytq
zg)-Lx^Nh9c6KSr){!Ga<#T8*8P?@N5>3_o^y+kLQ)bcio>96cEy3US35%l-(1CZ#v
zEETrJMIZ`LeH+J8{i>$z_I3B!2Y`%MSW%KN$sPeF%vE#kO*W}ybX8xdAh-@okRx_`
z`mwi;azF}l!aGH$kiiFdq}PLAR2>=^XwDcv34MNuHJVtgVc=!{>$pD7=EvrpFjX{J
zxcKVwp3M2@bh@S%&u5{s;ci9sk4@ZI<^1cW4)}^b6zh#irD+f44P+{yTP&GV3@2JA
zQN9o2^8KkiafJlvc~7AO3XLwF@VqrswRHJi9vSFEzo%rBo22|f^~iF0K^kj@qdgl<
zhf#&ZVKcWKOh||m8O+2@@BH#4Op$a7F`mxrw8GxS9^v8>rZGRs@r?7^o^2Jg2Q}*$
zFPB`eTtuJS;NKIVMk<^6gZ_Nw&)bTSx(*feh=F8N%=#DG9w>&@S|SJ5OLB*y>~K^y
z*Os|UPsI?hkl21GU~=4t^mKG2KsPWYb{czXv#iWW%&lL6qYdnG&V1b?m0>;C@A8hd
zPV{?J<XBdh)LH(z_7NEO26tzTCb%h<fGXmqOPVamhyYzXi331KE=$dSf)Ou>2v*wJ
zQPr6W#!G*vM4n1hO4T*AXsgMR$QbqrA0Ops4n*rp1&}Xito!-L0bOolXw&;#HF$8U
z!ROOZEx}fcS~lYp?4fLJ%|x3@*-YlJN?fR4LiVN;!^^-5R3gGqje(YwiP?a}7tLx(
zo+LVe-S~ErBw46wu4~%Q5%*`>o<8AA!|U&VV|)6w9=7bgI?xehIu0a&E{4iX81Mh_
z=G}AOpb;Gi^CBs<JlIPF2??RJQ_n2X>WMX|m*5xuA2{MT_*y*wO;>-6UB77aadc!)
zk*i@H4&MmxUEA6+Z`GgEk!1=b7#_N$lU*hqZx*;Yzq?&&pGC5|H5x^1HW2uE|KXJM
zHy&p|zcIf^t?DB{0@Q0-+1g3i1~Vo&j(*rnDkq%NjCiaH+~IHY0Hf*HliZ_Ley%Fh
zeyB_e%-nk3sK9#e&%H6f!r~}BLW0I^M}q4?okl-dt=!J+=XRU<T9u|GI_%F4ZJB2C
zJqR#mu-8|VC8<?g6B%V?vS1SU%GrcGGaU$YTDIlp&tQ%S+I;<C^R{w81;VJ61m?i*
zKP(kfE8t{ir%I1~LsWdCdc!EA!-DZyE8u;>jSiR*_`z?c5Oxb=;Ty6AlN3>dx=HT=
z6NnmHNO7w8!$Q){jBR^y5h`u!qwRE#-OnT<2<5hzox}eOOXsjOOF=i&H=KPsqg%?%
z-p{YBIWE7i5Kc((VU>_s6S?@1J{(&(pfPUJ^Dg}iVg&$}aQbFiZ1X6BhEC^V=vRp>
z@Z1#2o--#G&f9WhIbJH<O{sG+9wj`p>aa4W>IrOeDot>C@nwnzMfj7=CyS-&-yei{
zotOIgMm8A>=;K2Vt^j(RiEayDu8;ux$EN@SkX@-b(<THcWT}O3zR(t}3E9F4AcUey
zO<-e6ZUO>o0*|)MNO@SfaA_#+R$}Y=4~^nzL3Z6G#vscbzu38ZR-)@7!NdrQLjFr-
zQKDnx+8OJL@^XRbiv~08jN`zOm6J(tae4R_?P6#rDuk$jrC-(Ly;Yw8gNh8CkUGoR
zb`utZ^X!Xy_~f!3Un?3uk3hN@PRa*I*~j`78vLF4(XZr$`aM#Ju(%XQb&oO#pYt$M
z7ym-Op;~6IV$J;xg3T-SnvR*rM+A7q$*Gw7d^r*3YRtf*iRz1P5@a@55x3Kz6K!*j
zDpEDKu&~g5YvIzss45!5LAsHA<0&xK%&=u(wBYhw>tb?Uuf}w6_^1W*+Td=-=jQz*
zlfmZbZ8sB((%OK*ev_BzsSzU;;UCmL*bVM<)Rb!ylYxu<GwV*2*(eYsbYWE_T5&+$
zuoSHTkkc|?lrOwZB~Yg9|5z+S43RSZ*cKA?n6tJPA^taz2^_nWMQY5T#TYbwrzqp%
z`Z+EjGma7xmEwj%c1Xfo+;&j=JD(@5G9sAXqQfo-8zg3tOE3P~{qQgl+2m>3A*oDT
zuwkU+yp$?u(UnX=pQSJ?qp~fMYHmzs+_U_z<XzL^f5EM3i1!2&CoLfH!sc~$ArU8K
zIO-!@2yMut28r(-q7{%o;;L-GKGS+UTom+wEr33tGiqz2K!$6m${xE;=iDHH-n8jv
zBy>F)5Pa!T<6F~YOn$^7uVq2eBFGmq>n@Z9R*Je2l~u6Lup4o64;jzKyAur0Z8yGL
zVPUWV(b<9OwXHOVL2#w5&;!Je>Rzr0@5n_DA8gl+I>IYj%FnB9crq05A3dsJjlU9>
zB&UFURZ{JF44>@Iy8Q9AYPzqlPjz$g`P;7u7%r6nBgX3(O@96;r>_&q3PnKR!+q)c
za$(rR*iV%O8#%_ZhbR2#=a3_hEqB`GYtZi#<kIxW4QU@RLtuO1bigj^L^cA@Q=mGy
zI<wQnWI4_*c!VO7`)tCLwkb)l?SUMmMde?2BUU#%fpQ)s@~~$Q9YT)m`wl>a4ojji
zgDc*IusVW-0?X&gjm0gRjKs?TSnx{tIKJ!sTWc?Nz83XwweB^V5`Y}4*cp-&^HF)C
zo0=t3q9E;+Lnh$Ss@HUs&ipxqFlgCzQxgTz+T>7Cu}Ls&kkphZCc0-R6an^7%bgWV
z+njIcC^4$l+PS*_mOEj^$))#F2wio^cW-APcFq9dur^d@S~VL_Oj1PKH}I;ft2tn}
zTSh$zqZ?$gE~rE78yK5B1!m-{ag-IO&U|lKNs*Kc(zyxX)PBDtaQ5!w!$65Vj>nOQ
zhrTFH`Pzi2zM>H^qxLH@abnm<qz<wL#84!B3X%7YE=3-1@;cd<D4z38A%;`Hfa-Jk
zDWIJX?=^Ngq&AE2;Z+rSGfP&8yj@d$LSzJEHcg7l9Qhgh_f6%6c!&aV7$OpdM8w{V
zUOKl>wP6dYJaD0u%ue2jDQLqTD?{gkBG1p7c#TNWunvI*tpcPh#Usrm8M^V4+%HRt
z#nJK<gd%bsaEN}fnwUV`tZYISdtWBBeU!frYdtF|DlsAW$1k(Yr)HVyaNjg~_!Q1}
zrqs6ivA%Wvs!v5Tf5E({{V6&Mg&vEqgL%Bw2xb4EQ-Yk@0>+)h!Jil}z++YT;|@2b
zB6*rP48HaPTwrAj{7sCiO{`t1k%6VmG^b6y)+2dx34o~JL5w{&0^t|!K2O~>mu&y^
zTyfKrf<~9h#BOU^A;lXnu64f%3+NLC)lKukDV;Vdp!$iU4|e~o<$CmoV=XwZkU$|)
zU5t-qjGs+>?YBP{rqG>@MZt&6Sl8=4ziNA0uOsQk_u`)}f0T)K(iv|lEyh%Uni4&u
zY-hR=4uS1}QV2r6U5MP&K$oCeiLn?b&A1x%r2mZGFzDCgpxEu*#V@OuZ3n{ci_eUk
zXZU<>uV3jPM^6NviOICcRpUw9w+8?0F(hJ=u;O@<>iJeI@8|w1oA2HpP;wO{O#Mdq
zkfat~roT164+%Ow{+uVCo;1;@#Dt(TLf4r4jyr5I?h~jl*SOGoTc3ELkR~7XL%Nhz
zd*)nOmbN1Dtd#tVUXac%zR=m~5FpharPr@Ig5miTVwC7WQ$wSTUZw*Suw1No7jzCG
zDkXJoZ3=bmzvN-H9JMjY64G!pdky{S#>U1KjlrY1DiUSly}i9&<nBr{5myd@TPnmv
ziFI@6Be;Ra<FEb+0R1pRewb5tFz(INBl5Z0;5`?)0A7>1{OfyOM?(PaNkOUc0B@rm
zf6$OIU%fO%eyj*hPZu^%Ro1e;t}g%noR)z>^t!9(jn2pNTuxP+NEkZ@H?GV6n&xJ<
zxweFes5etqItmhX@Qb+~V+yKe-<R2@XGONU9Q$!p<b|1|v;UrOq^YFph^Xim&-4|q
zyh;Bw^m{L@v*{s7P5AQfhN7ck?_CpRglab%)KCr=f}39>HRRd$i5R(g9NKs~Bs(OT
zqE1wODz#&uJb$7^x>-zrCBMXy48QC3WEGOyFdX75v`XCq&@$udL(+3%?ASp0_lhwI
z9i(417>VEYzC?Q;%fMCPPt7ymN2K@zv+aOLiLhUp7zzzsk4UEPV-gqROb)m;G<-oC
zu2K>ZB2(hsK2HCkVU&p$O(Oh(qTc{bd&o&E!K31L6Df!Y%Ws#ap5^;LrC}yb>We$4
zxs0OJ_<3-lX>Km4T%nhlsf=>X=g*W3p(=l>)k5AiU57=351U`e%EeMkOyKJ`>x-UT
z{qgf+jmbrbb`l%j#kLWs@myg0@{_1bHHQz+li=QD3bERN84$rS_a0<p9?(m3rj6z&
z6k27v4*NIuf;C0eoWGI{949%4MAT1ti+Key$ipI1Y`OnBY2U~B#V4{SxOKDm;!h#}
z_GI1QgS8I4{YdUtuMW_h`E4H{pOF(P4efoiMeofxO-uyXbA~%+`KexGBV`rLy8(9w
zcm>IjX`)~<%uZO|JZbaYZ}ujWar-mjl(j_jTC0UK<LWOidpfWnf~ciBd`S0DFCbQ)
zo}Si%tL|^TUd_hB@T9)Z@zwy5*wfEgos1Y#ILEyN)3dF6d%-mb9UB1s-=)|yGdP~4
zm3{|&G#CHsBRB#h7?4Ol7cwUr`2wrHD2hbpEQUdlPZSmWLqGMmGqb~zmilkBDFx3J
zh4??V#swUZo}{JG8idv&;C%p=q{eKN+e!_uVGq^NkKRNXM4Chggqldgb^$Qn7Z*Lt
zz5MMKz#HL_&S2&4xYIY`g4`Faoxd(^*;!P~xm-WMh)>`gO|IKQg^~;IZqV{(O+PNz
zJ2T}YD9oVO_#9(36v6{Vg`%RUS*$ndIu8}>&PGB_9C%`>ARvYh{DNjL^O@r~qwN&L
zezG{dU>cm=)T#d?AZbwpOfV6k$;=C;+cb;i%zkan@-dgP^4FWO%h>h;sax*dz7pQY
zWB}z`v?SyHIce`n7~AAzELUgjm!^<D=rnHkz>^H_xmr!4+XNLECf;qy+Y-H|)DXET
z0e4i2pz4?(ipEq?JSt+MP|i4!$04*KsPTQj{weYMi&lVQ2|B<E)qlY@-NBgqQ4(XE
zE>+W#)9;U7ihAs$nl2==%>pzi#Xh5EmK`QFs2ji>8>Ko+&@iO<r)TAfDE1Uma4H-Q
z5PH;bI4NtH7Hg17M_z6yU3(1pb%Qg@55G!Y`)zdCPnr_QBGiUnB2?!o<*O4ASz#S`
z_9}Hzvd}9ypUDr^4$VsQ3X{1H#__!KC!cQTQ9|?5{K&bNg-dhan|M+gbDX33n_l#a
z`Q2lXpOk6W{VEM?Klv-0wOC12wsf2et=bx^kJQPy<y9-{Q@o)dJD>nD5RgL}gPmdh
zGt`@B7+s}X>Z@4W0ZW0<?S+Zcp;h1{W+Y_<qWaR6r|*YQY{D@>$}+gpePX@ju0{O(
z)S}$b*f=*g2NXG;LYhDyr(8DkuKv%Zrw|PHSfE<KZu0#SP#R0*8NnoAK}N7GrqN#G
zqaLzF**1DgN=n+fDsnL<>OQ2`x3{f6;{%+i1F)$E!KzsXv8$w0!uijNafM6-7;>f&
zP0F9Sf1xUy&O24X(zw~_n_$uXOZMk>(wMV5r-zGy`=dKWaqQz;^0vA%DbUg3mo8`5
zO%)YIm@y9ny8!RCaO!ui&ge`#*t=_#C7Jai1s+F|h6g4PLdi`6MLQep#(2>}<hi)y
zXs+Nq=GGa{PFhtg$#}L=$i(V?8rza`&b^f<Qe`4AG?T8Z9`S?tf&ed+5mu9YE{Nvf
zub1eNKF^}oZSCv?4Q=6@8z9#K;<))PPv1wr-L`BdP9^H+vH$YS4LWR6j6~)*`!#rM
zP39#q9z1lfjAI|&N-Y17xz7Vntzm_K<5Z_cH-Bys?np^4;eCogX-Qa;5}W#6w{idy
z=LDEuwWGY_x@C;+My9vWWm=`m47$nL71E40g~<)E%0L)JUvzcp;SeY(@VU6=?P>)X
zhWFA!3t;75%vs$il(k=F5m{pKO2jg7|DyMATnP)*QVY3DiM24JDYkJ#X_zWh0}rKW
zcTKBVS>T9Pkg}>GQ}Gg{b@FVZ!wMyy!(7%@t`t6oXo612`{ti72XFgSJPyS7Gpa+g
zN{Q!TC)R-{9Kh8Z>=?>pj&t$QEmN7<QzT3w>}Gh8BeM^miAm=-$17+nHlzpQ77<6F
z`(h}G?$)Z`DfyI71F$A|W`Q6>rGz*LAgY@j_Q{fRpqr~Cd~G-oDj^$!)nU}97)h@W
zto17P4-PD9_0dSTe?A{h)22okP6n-xhW<eX&bxxOr8qi<F8<qWz2lcXh*8jytm}sS
zIy`h_hdG}Ii_yLrF(7M;Jv%FmjD(x8hUMmIsaDF@x3;!=61A9^YLlY-z0N0CN4zgu
zpTY8wNJ4?2Vo!2L$)2Qe;@)9CMLe#0POK<~&b}?GSX43L3;B0CyU3!PN&u0z8Y^PP
zwKq*M({{-I0Q#{e?Zm1&fPw;h)$#4x6S9M)ullhy9VE%-T^Dk&wZ-1BZNWEvxKJ=X
zGTFK@WdG&N=QiA!a1_FU`q>}DVuZ&>`Rg+75&MHzS5G{rb)pGyzByEgr4@l<*y2tI
za#*_^|9hGeUssz@n3Kk7kb^enBT?=}&1{`CA8O1o((de)2vFOCZ42ObB*-)^bRpAa
z3XXTFepZR<s{k*MM4}7<x(w4FXLcj;9A1y>(XyB1e4^;_Ojx3_7!L*l*fAMMdOxPi
zh)gAfto`DESrX}&K05=zG=})WTn|Yi9_cI;Givi(ospnL_F>WoW5#Tv#veZ7KaRwN
zVzi8in+{FKzR|tJctHLOcl6Ck1Uiv=-_%4y+e1FpQhRp)-&V@_9^YVwH!&57KhGu_
zx8dI(C;>Y<crfEYauK6U;<pae@+hsm%3y=G>4cB5A3+QJKHpv)z!|)LJ04CbbiNvW
z;U?#9^_nmVFyzs1FJJcn3WkG|Q|;WsfGWG~g3z38n-WE=0|K;$ugtd}VL81y;G{)i
z7Cwq0!H;Ac%%IOoE##dEO8Z+1A3=SZTivVXCmn<ip;~IE&-i`VnZdsdPLJb-7sEiu
zl0=IG(MsCn8MEac9#*WIy?nSyHl(kU)C&tAEmhcmYA4_x#b7B*K$+kd-Mk!kpYG6G
z*PQoZ{?qwaf{Goqro*#yo0T}Tw1js&l+Q`S5%Nw=x7PLlv~m~Y=&HIVeGQJ!038-2
z{Iv^jS(*x^miP~$!$XngS2trZ2qicSM+p^zFwYSTUmpj7j^M^@r>nYlKy!<&$Wdp-
zmH2`8hUO-Bhldb?`YEMWYotz}m9*+MGRR0Qq5#q$7Z`UVVY8p41yj4q=&}uiAUjhU
zemIR)ak{K_1rib8c;i-_g1*C<FVcQVDpp!dWTW1_M2*kmtlTQ~O%LzHg>uz<bWlzK
zd)Eu+J4O0<&=A`%SppBvcT^EM3574dv~>N-!gn-PKS!)1-8x%aT}rvL7NqkD$dXzu
z>k^I1D=NSk!q(;?gmswt)9|`cyMxv#D~9j)&&&|?Z1O%06#1#?2N1&UZv(cui%$<5
z<ev0t<xRL&wyiJ(?|hYfhxVGl5JHIVBY;ntFq`U&<~O88DwE<TCt$+^<$v4OP_YFO
z)1e_iA(#;Rk+TN4J;f-%+-gy){jF)U04<ud?AuGm*3Rczzh5)$cnpe)v}&=+#B~Rp
z?n^e(TM$gBOmx{Y%V!#qAt{v-viXVdM&%wFbL}L|Bv&WUlt?O2%GZqn!q9V9CXC_y
zU?N^RGzj{nUJB&U7E30{3`m%tM)!Ze!&S4+mN1_C?!i*-k$Q&fo=gju{#&9@fv+DQ
zUUAQOiVx)8?<r`2y6d4TmG@HDGE5qmJ#B02@8XZx`3j0F2M=P0U?6w~0q%eJ=cnII
zx5!C^%%jS3X^bYT#=aRBopSb<g3u<Vzu`lEsf(^JKqzxNlK!+NKnL@Q2}|eZrBz2M
zF}D&=9l@+^-Xwp1R7fZ`a<*0?FC4rDy1Kdsr<7y$R5zI%0Y8{v8+doejS=*}!bSs&
z$qThNRwuH=WIFPw{GMZA3Kdiqh1Ftlx{t-BIPkR{thD<GYofjG5wIwlvBnGTo+?so
zKjEd9UB(?=upHD43ITXzL!Z70sV&-EP9^)8Y{SAe9W(UMPQtlw_yvjBQuKa`gE`1w
zU-v^FDzUlgZs2?m$wo<@UDG0c)sYt=2rqoekYT1x+23}sy&9NzeMt7NPo)Gw6T<71
z5GHT4pUAFNzSK;&1|ujSa7mpGLVJyv`A2F3upuvdZ9x{5=L-J*BE9LBvn`>Oh#=K-
zf;&s@d-oBjY<bc~Cnfwtz=M}4^MX0Gpk7EoK&{a}T?QTsIG_~Kv&~pAR)jGvuGRdb
zb?RDakC%jSL01SQ#%K692=!~NuYd1(wCbi$EPi66$<>EV-B6ybMe0sSL9dnc+SC#c
z5-*dHIBcJEvFNLpbE7NWq<4ljD@LM=Ff;g*6PUwk+`XB=Ndkp_g2EHl$EGVWe=WaU
zu^I5^l!gq5ICFhS=KXeS2%<9rF|!jMKMJ<mcKW0WCFOS}^LsS^xTKs7e`o$RyoDAf
zpSYIZyy}`5$<LgTQijn4Q4VRs8t~Gue=p@LRr(wsRpY_L=`<}`UkW;8tjXD08c~<b
zJRuM;sYRms{SBJ;5VKP816=nKv^`k^k|^1!zlVpPr+(8)tLQ8uH@=TzK8hD2E@}~a
zW<f6`P~_mGB=qI&1a9fma+2_>L0^jqI|qjYIHt05;|G$c$?yd**9Fhh$`4)l!C}7;
z5SazCK8f)B-JZOCow9+UP{Z`GG!lRUWtyZyLexlQ-M=RhMsFf;h91b3PGnd$QHoDE
z^KIUgsZ%v2P0LWZ+*MVT(Y-92a(v=WZ;C^{o-Y71e*za1@cQ>x6VJiKWPNI|_ZFLa
zb*Fs%HFC^2&(*gA$H8iYE;FgOo4f*Bvc{L?Qy>9B6kdYCShG7e)*5Z1irbUhLH+S6
z5+fMsYyrFj1fTT}Drzu+h2g&&At=yn?4!5uA08fNUB~+z-&@Rq)f#-Ns_Vq|<LKK7
z;eY%-+XvUdcZW}Jd)qI_?s*Z&zk`5sax-`L&){zR?m7!h&u_d}PFjE=hX3AebE|px
z$G~eh+3iE7Zlk??(Ui|W#k=26uREXSTm8Fd`u+zG@5#CVVQQy;W`Mta<$C4r%4giX
z_I$<X?&;mS&o$ZInt{MPjli8{d;NbSjFevEoCMJho)`f(p_*kBNCFf}(2E(!ZH`GE
zfQte_!P}!(eQEx>Y8t3zhpDfdU)xh!8{+yBoPIJmiKgT)MnM=7i)VSAX%ma@-ad!q
z+fV>x+{}H`cb$6_DPiKcx^_LbH^6>lEX^Qo_l*b{5fb;%G(Da^NFT<?Kp7<ozRUag
z@6b#Hq{Ec+$V<4zYYOr+&&cgN%Y{%l4O7J6(4T~(GMTp^7J%ga)p66-P<i%@S8cXM
z?QHhL&X1D`MDsymD7f90PX)foFz7Dqzwp9`@@@lykxqrs{Fedt2oTtCB`T&&>#%}r
zGa8X?t8Gr%%<PmfnT}ufe&t9GPAfysLi(VpQtuG2VBS`No-8=;dqgg3Jf<~7smFNK
zVgyfnFx~{swChP9IZZF`?!eA@&m~jYLE661D_Rb*{t>yhv(@_vuP%;&Klpjpn`dha
z=ua#y!jj+Mh`dq{&Y7KulSrhRN$|0Sl?NexPq9fXa81<`yK~cf40(PuzW?=`w`f;l
z)x+0NNmOZI6c-4}S>t=)Y_^pc1<z92IN8*QmXlv=TQAE#u{Hp6amANj>pVd5qu}iL
zQdNS@%~5AL@v$fyq5Pu=yUp_p9op6`iWR1vP}+uKeLX7>UD2Sw65hcc0j2=J%wkmy
z>qqLZsxT)4;FOBP`$5?b7<gb8!N`By=k~;wkkm>|Y-L@$vq7#FV3p%&V@n?x784b&
z6O2loz{jKNHfbODJx19+X#(o^yZ9#_=A3wtsb0kJkoq6)T7OjYo|h(SzRn~;fjnP?
z`>O50Hn3_Eek5?P*yJ>q_(wkH#R6&X0DJWaxdZiJSRj9(mCzKt7r(}M_N!inS^&Y%
zY13opT2VAr#^a=zs&#j7FHpj^>W|lyukXaPM9b;pA*iAiOQU|C?JWTM?K!Zy=O|qO
zrY?o}gu~6O12CW7EQ9ex=JnzI^M40mojL0~U{&<g`vRn<uikq_|0BBqlg!;{`{gS|
z@7r_lgLCioSKi(15s{IRU}kc6+I~BibqiiHN#TE>MSXD{*iK!r_~Xa1*WEqU(BO91
z=d%5#@$M`c<2Fpvbz;K%p<6%0WL%Z7RVu1LL?!1bU30iArd&K`2reZ1#pV0h_`p=K
zAk_3^bHf@~n&E&GN<W9s6_~Ib2jdL}O4-SxpueUTzAL}3y<6aM{kFVf<9#hTn~|0`
z@e6q9exIxmrk{W*XYH~Su9My&BAXmtCPWVVXF3#0_Be%_Iq0FpXDwEJ@$;)PSfs>Y
zMH;Rz9#%zb^M3aD8Uf_Xh;{H){mt994+no{fN$!y>y4m4Pt;}wMU)0Q0Y_gw=N6Zg
z>T4YWav7oB2T+VaM9$?1;yy6e2lQWHWBISNp*zX!{$K;yu@raXce*RfLE#7E8n1$M
z`7_S`wbqaFQxt9MhiVQ1!daPNdizB~9i;uy#>Wh%5Bz}-o!%zPIz1l^<fIQA&8)9w
z|3e~JIi-ar{8QKM+(yEh;nMSEYj8xMIaj$?$6O`i#f{JQc$QD-tR?Wk957R(#y-4k
z4Pb&{ntiNU<Q<aAm7#pjYYq9#L|BXiNru1`qnNF=G}gl?u`{Tx9zBN8Iu@wecTfba
zx>51eOW|ZK)_og$5Si2J^<;c0xV~h<eAMal@#>#He^lRp4z>L7LGy{XEnK~3%<6k1
zI~qhcIOzc^?|IFHhD*FEDTjq^`B35k&}8U?=n`~1s{*w+TJ0pL*U{u42_2YK+*=;+
zkJ#P$S|G)=YJK6x?1uAqd3kvWK#x}1fyySUbnX|=82D$~8UIA))r-J(GOW-FRO{5S
zt<$g3qtNACH_|2<QpO5W#yRn9ABm$Ql>3pmtz{G%F}epbB}&N9!lLc6KM=LJU%}S2
zxPxX^Y;E{UAeQhi`8o)wUAfu+uvcO5$mVH8X*;6alcD&nXqDA$BWz87cPUclRo>8E
z{$uXSFO_LKUew0Em7Y45jt|7y9*j@5-BQRWnHj<0Yw^kfdVgwG4ur3U+6e&qr2WU9
z%iT!UB^R)dUEJqGM1zp}ctxS#F3oqF?bn|egs*Md&urR3YDBvhtNn7z<-ITT=g*(`
zw?Fa0k#oBTUJt;@#m~CFUb*t{Ie2>Q@5BB$veKYk=y9a?q5o4_>EjP~`ztpy2H?+S
zq5((~o2xR&QYgCruo7bTmt%LlU{`q5nJ$>(v~RGTI0pW8%=lYyfs-Q<Bo%?6x*B;y
z0JAQvAFJ8brI_;QH;hm(o1w}zmowG2)>)sGX`MrXL}n8V)~HNn*3Wg#hAjx%?kyjg
zns3$5_+^bUcyOlG&jEZY2*XI+{`(jBxNfg67a}mQ@OOWs!_b}+NX1~9`q|}yk%$%C
zgKx47==8E&buZX)Nph2;T91?hP*9=NR)J!oA9t?84LP1ff}c^I!R@Aj_ixX)?)kLk
zC#YAf7!ZjbZ0b)iS6U5Ivl431gkpc()_(UNW)Cb7sDg|f-h&?IpLDK;DyE^OnN^1V
zb;rgvSh`ETHeuTI6dJD?VUN&5yUQ5Q8=TTOfQl<Se`k9z6jNtR|4f#-$cX#fi1k#?
zxGa&Sv^n>t(d!q8?J)Ax&k$*(-QGwFR~4*l5*?T6u7v5}?1Ne+Dz=EghorS`Hd56e
z$GKt@BkO#ziy;%MthLUx6O4?)rppmCZ})6g6KyFV0R+Ip*?Fl~54TH}V4Gwv-*X(B
zv#Gxa1gf=J69Uv2LS7dBF!7rR6^5#rZ-guX`+&-t@1lmccqFQI>{O{5GuT=)ygvbW
zIPdnXaO4I9_@6+WF{xy5d<_gR3PnyWPFHnaKv-sHYb)^kLzzYy&`?63ItvTR>7msy
z)^nBwXfpYY4N(5BkE0~(j4mNy#-3mdvwb>8_gFmhVp2^8N&SiLGCxtp+>-NKW+s=?
z$9!5@G?Q$U4iR-FKl-rsi+PJxo-vSx^;_A8X9@v^cdi0dk9Ls%K7VDKa~Ta32V{jr
znOeh5g&H2o57C-9fu{TG?mz7u+IJo;>iM3PQITDq8Mtm{#ovPn@9v8;F!8v*9QaCU
z@AIYs-~HgaMEDfs30_xS4^;^?Y)0Q53EwWX-z@yc58M9Wy*++AFMRcV8Q@W_?sl_o
zYOn9!&fVPCbT=UDXkXFi-xP~x<@JuwP1VU<j1lba7+f*nGu@p4jetGaPq$!guu!dv
zOJ1>=T6Mf|8{U|e%6uYU91|sc5#!s2-QwdGDk0(<bH48N#^mksKkc_~@r19(cH^^b
z`nB0}P-vQ!DDlMNEc<c7>Dud4Is43~`fi%(Qo>B^pS&3weSOei#b$ka<a&Mm&I}MS
zqt>y+tXKPcb63Zq)LVM*P?F5zxTVJfbB5H>j@%v_v=UsRy!=SdJYo?;p(aBvvsJD5
zynupj!#3UOeWOM*7!M6Eorq$CN&de}^+IB}jA=~a?!@)bL(*d(!fi||uLFh8ZMUKv
zMEyu`f+}VS38syL>)x%VdfN@8Qoo1=lFY5qwDqHl98*E#=h2@3{{H^ZCYW!P3N{%}
z9tBT{K9eRy{R!B)+veK+2NGJpe*P$2=KopbIWhTscl7^SfHUnt2p2no$jPZ-@&^wn
z`OCBp3av!12;U3Mb#Nl^WT2e^2s4SWq-<jB5J>EC?<=U-2(;Kn!c$U{%gVVTBhmTA
zR#bGNZz8%>FsVmNYR)JvNuAK~bDU>gU3|0>cBi&^69l4PDtCCsUbMXTS_xjBNhKMt
z&7~%1K~E&6=6;5OF2a`5>Do!GMMzjvnNX#s`7T|dhzo|B{b5F=CRr_@nzS1&dDPnq
zI0&?VwQab8Av6{i*7xQg>}&6yy;LenRg~~SsGoUNfa#1(!K8`Lq<y2{_>RZ2aW(9p
zcj|i<`>)36|7rhj%H2N+S^n}?RwR74Rqi<u#-tOZ%FXc%0;(Fhr=zU!$sU4djo(l1
z{z&39hWKXtN!j3yqrj=2I#!}F190PmXHl}b)N4Q{ApGFt<!2v~Wt+)wejyNxpOIQ7
z`j^==)~$XD&mBHpmkO;jMTUqe65+TaZ~N~qo<a^k-A)>~%VGUdyd4yF1HUU!LNVNd
z48(gM|2^9S)Bp9p<ROrh-XD<Q>Hvk)iqP$N%h8l2;@_#k-RU|5XdD28_hjB8YYA97
zInZuNq7Oy$Zb)nHcLHVt<0cWCYePRG+^)sd8JHj8#uC9E|2&#xLak8VN)&hSoR-xm
zi>L<0zCsQ=<s(p?8hrMbd9P8j#rMTh$I)GqMSZb(yU?I!*=Yn(J!Q&C1rD$6S3jXg
z;GDHeUB>%pMNDq>0AiVnZD?g@Q$XNVB^7eN)w{@WiVAs55F%m&p)J5o6l8vnZXCh1
zrcz1^ZbC5t>H=Dba0!g?UO0TLsn{$uN1ZWZx=xI6(?fMiY>HS$ddy^sP;A#sx9yoR
zm6_MOIpgY!jd(@F^U7G-q!F01IqX5TZVA?Fkct+_pxJl;OFwY|C2eE<tj^B$oUniZ
z>oIP|AJ$x67Cr*0$Q(v-!<^M*JxywDU0sh}j~71QnML80qFy9?5T!!xtVWN%5*JTR
zC)tlbA*cw5oR*;Yl-au_y@*=Tel5C=g!x3<4kepD;@Yj22M`)3c^W5eYua+dlu&aM
zD{-CVqBg*DNFn3&Iw2$pXX>m&&5VI4kqWSey{4UJ;-Vat@2vLK&Ode93Kd8@autB#
zirr1&c_^Do+dq;v4ldzZy8A_S{{WGj+$;F%XM>Db<^Rz|LxWa9Eu?){`<|OM7x9f9
zw|iq~-AcI--(3?wU?8hI`X*=RE4V1coY(szU8_9?$sf`}EGhgNBHt7{=W|W7VStlj
z&sw~PD*CFVTjK>;LR=?V8BJfZh<E@FDMaMWeu`HJeZt7cqD@y};pmk8{_!=C_?hKn
zAJxsCqVMz9iiLH*ys9EY(Bmuvzi~tJw5;V?#|F;FMDh=aT2MRg*942F0B$T~)$yNy
z-o|II>Io&Kz~v=K$lU1bFGoT^4iTuuOBRH$c54|Z&{~I}`p$JLqDh$7agDg}h6Ot&
zvjfB8F4#*GtIA{f1dck0ZD>J4umRzsMnY^Xbud`X?hYPBb@Hx!{|<;@Z3kd#_uDzO
z>Nj5Z0DsAHlT$F$V0%}j9W&mG%z~g0Ftl4g;(5QAJz*<Xq{pO?3ewu$M-wBQ;A{b|
zPn3=Oky{~;Ik@C$<YB*QcHTM_@_b5X>1!QiS9*s?lVQU0?*u~Uhj{e(&iGLL3Q^_3
zY%R))^7-?FXTQGJa6RXVh5VY;)vDytp&L+ed<UHXgd6wM(rS;!U*l>1mEx&R3L&+|
zO;uKYj&tllx%8JUWupHy-F9J%<*8b~@VbOix;Dx*N(btp(yK`6{Q3Ob;{qbdjW#r<
z&GK%hXK1yUk*NquRg-|x>5b=?sbs9!h?-~I?&Wwc?`KkJj7LMdEn{;9Yq)9j&9h;a
zczO>S(WP})mdI>`K1@14mx4g*UXVNp1PgGoCobOd2;boi-1(1*dNB6M{+%*TcG90n
zbj^WZW=nF>6MHVz=krz``;KmEBfYT-DQ%eCic_H4Fq?Pg6MT?O9&}`f&HVgX?&93p
z?l_oa0>UidKa+mIoexDZF6!ew7l?M!hyIqMt7T0a-!`B#j9qACec|O(XEqv3bxE^U
zqVUE%(7d+K7^5YN{PVlt;K1l!Wv4VO#tSwBY-dI#5vBAK9k?A1YV7yCS2E?7(?66V
z!wm`y&%=nrdxg*XZ?!-eW8@F%IQBk)@#dC>Gd7&M?+t7KmoKDlD{L^BKAku|x>Q89
zHy8=_kARxucW~vi<8V{ae);Nd3%pL?aM`{FkQs}ybhpx)@p%1->xee%tN0X*7hVCM
zV0(=*4!wL<gLCN;d9k#iD%Rh~&1h4gzJxkfQ)c80wBICT^hHvz;?Uwgis?d~)IG`?
zY&)(hjbRcM8XhX;r$$}8S3~s)8<bQP0s7eg3B`P<f@<GNJ+$X|@I@tsoiwV<<}{&t
z@+?In?}*PB`_$d525DV*>M7(zDkS6{3GE(0zBEDRbU+r_N5ahBn4g`Flj<!_{R1u0
z3sY*4m)d`n$P<;P`-)gZi}fJ0_17gAO=y!*907h<!E~M7q!jI#fva-HNflgv3S1pW
zuIU%vy;=3=`_z62dAb6l)S1f!8!z8qbARFoH%NNV+Czc)23(_~BTqaU%!8`UAH%TB
zIG$MN#V7G>zsS)!r;U`LkymBftc%tj!vAcyBQk7iUm1O<7V23@ltW}nNsywt#7@?v
zZpcXzE+hD(LX?2xl^H2PEeF%@*O3xfwt1GdY8HL}UTmK3Wo|cBUJ=IAwP%q{7E^$H
zo+s9vjtUo_{gUXXgPa%@;#I3crJ!A0L>gJ~m!54}tjXqBC0N)g=3?0pP=nfW6!2*t
zU@YvfQAs*#_la0gi?Thc!S`J8sX)B|N@JZJu&qy#d#A3}r&X<G3)E8?V)e7H2{wM@
zwjBf;756t6xPI@7Wl#}M7JDOYTlv08&paa0m3!xHq)vs!h#3fZiGjX43TLz*WYdC&
z!sn+DPJcqTW3Bk2Y8x81cpgCmR|~LiqQ{B1P+yviG(^M+ryTuYTUSv%55Hg^WuDCq
zw|g31xs#bd@J|(l3@RoTdu|V2wQf_LiRL)|wS>c&K-k`%%T>O<V-tD0MWS$DJjERt
zCPud%++7NTa(Joz>O+5{k6_;XO8G<^+kXclKHT2cmN;B|?tO4~P6DCGvs^RssM^8=
z9ahp#R+(;eY)DMn0CYij23*)5+ALiLO&rIb^rs-H(lnlV>m>?ujP$U>CWhbJRH-rF
z4+z<w(dVtE4-ByIL!g}tLhEkJHaZF582~GdtZ}lbA(5=or~B~<Vd2x91y-Zhc%tT#
zemR`zoW8SDu7=6$J9A$%8|&*&uMK*5g+0zdHU|X<rZzX_BX#0}^=DXXVp1JLW|AzL
zWzbi8!+cP*%n<Olk?Gyg8nqy@xc|MCwGvg5&V_P8x)I^wP3k2Q>qoZSSEP>*(@%gD
z0j*&Fw2C{jc!cPonMC;~-ka&dvjXt<MAC91JwT2D0ByhA@|5`pI3b1++DV&^W4zJ1
z1B$9pJk1KrrSu<iC?dr@JoWkNcvBO6c-+}&{VHPHTB)MsC~q_Cbt+t%Z<uMy)tI{z
zhy9oPw<EOQ_IR8Pp~+YOWkz7;Vw@EAm2Nde)-ZMPOOrqi>}z~DZZEF^Gsy_%K9N73
z4ta~G6^n+(Nt9>`{~uFd85U)?wtbUQ>QEAbgmg)F3=JbWG}0w4Ee#?dASor?EueG=
zNSA<=G$<`0C|&Zc*?Ygo@$u6q1ZKsx&ct~C@j-@%ApW0n(no`!?t1S;D!Ut`*EM=D
zb^w;z3rKz#lu?uENCI-?IraOoC)FQ5fEfprdEVUIEH=y-me|>EH`&0RTiLO~@iFmr
za$^|C!vM}=vRw0Xj*TsQD-2ruYRJ=Z>{ZM0R6p#_TjVEwaX|O22`h>mPTPZonoE}r
z02_uAwyId<S(I_;ZctQ&mh1O6=Ore2e?d$f&hBgg4(N#|g()#`F5{p>+h<pqM+K6H
zhP%2I_07#bNF8qg4&4ckllpf)Xq@B!chK_LUw;r)b$b=(blWX;-AzpKb@1;9<^F;N
zcq(1A058SxMh%jUpqpdZ&8}iGOe9UEW$8CyTx&p=wXoXn6^TFg>x?TnD9xay`^Uqj
z<ySr&e!A|<PIasHBL>fcesR=$weAb6W#cN#`ACtE`m~vtg8ETaS3$YO#l<A#GD2&l
zw~KwDGX#Tmlz7-CI+BAu27CS_{>v04L}?&M+=r5~w0%QH^E80yFXzT?ZlJ9MbADP%
zX}z+Qol_|X29;~KaF8ot3FJnBJ&H+rl_iZk+|Irb7ovRyAt5$ZM$2Mzl6O|<9r_P1
zjEhXF9V%NRfLc@Hyo<g!dDx+%f;pok>*d{n;pVtU4L-3INc$HrUVJLWYO82<9W)c2
z<Y2_!e|oo)IddiJ7v?4Dd)#=|KNJ;r^RS&?JA~~&t<I)4WFaw{p(Ys%ki7Uja>MlI
zb(e3FPKg^FbE5oxxB<_^-31zJwfr={ukU<tLuh9g7Kpodr>E4>NX_NFqU@0)zEnw@
z4V^q@%OPp)<CIVR$~j)G*L-m9!D4FMzZhAbMl*31%upnneA_F7NNc53XM3|@EaLze
z)4yri>_&l0<u-0PmTtFkQR2_oF&}6_@ZhztJ04OZ8umd!D`z)d=Z0uWPw|m<cs4zY
zJdQ~M>I2@wuLzB}v@Gn>?JN1rpu@eyN?=i&zJK*5XI4e0hwMg!^ry)x;a{+ate_wV
zhh3o92+?a<Qm1iV{lZ=%pN`!^tw8Kz4}B4NA(#PD?*64P)OC=;Tpb)7gsC>0j};fF
z`@vgUqVrBy&Xs%6@5aF0#(!5qw+FY^;BCGp>LqnK9+%A#JjRy+5)%HzD8IWt1;xe6
zF<Y1yHZiA8e@=XDxeU5Qg4}RHh9XVkoYCKyH6^#}>HE_lz@UEq@Y?UCNcG5b6DoAL
z<J=_DTJr@uF!=Z<Uw;7)1rWgY#{4~la+U5z%kSM-Jz9%py1fUMt}q5=4y(S2Bx{4t
zoYo^&p=h5^Jww({o<h(oJVdXYD^*8NI_(qHWASQzjz=VKkqF>486by<x449hL6E)=
z@)zgiFYV=)PYFd@=JZ?r3(79^VdubHS`5sk8#lM^qh&Y0{SJP6Ejau2Sz^5Y2je9s
zYQRK8gpiYeinK;Y!&L%-&GEquL_e|QhSVcqVe*9Ln%E%`<dKAl@~;Rm5)Jn34xAU-
zRst&9Mn%SM<$Zjk_y5%GpEgOjOC7Yd{BADU0Y}uzk@(nI0#b6R!4ZEV?}ae{mY5Rl
zQW3FhJ-fWF#TCVNV>hc6%q9eFwvR0xZES$#s!nC{=rb%BX0h%2N&oAH+tJaHQ;?Ma
zttXNmlfk@QHzGa~{L{&!%bWJ9-I;4^uux6Jh_i|sRPMCj$IF8$Ai8?F2j!%X@Qc-P
z4DJ#cSB;NjSk8>U$0O9!)BAL(E$v#KFv>Ia<zZw>Nyr)w18qy3GM(o$PURuDPWzs+
zd**O`=$oKB=}1MXvjVPYMC=-Q_@|m0x8*miziD*ms&_AYdU`ba`e`jHra^I<Ohk;9
z91iP)w?fW7$CTS%t?dWQw)~a^*}p4sF+b*BQj#*y+^gqF#GgSFO5i$>$PLI2V#F1X
zLSD&8fuWL5vIhR_vdIImVE1K0QSDRH3kwY$PYVkR3fHnrZFXL5Hj#J@mMXKl8leQG
z=-613OE$!>o*ua}?VXfiS7dOpU70pw=A_f?hwwdm%5c}P(-_%?l-Vl4EOHaz(t${m
z3#V%UPrWp`7}ApjiJhS3Y@y?<?Vz`+?ah6fz}u^p>hc}=uvJtd{w-?ZqdL&UmjA@A
zfc9eSU=YfN>MeA2b#-`N&$wt<+h#z3bsbM9>r87-4&>v)e&~>gF(4s<M$h+{o6ZVA
zS^crp4(R-&S$1%`s<;z(ES;gQ>}HhFz2jaT$L__GZ=hv|PzEF^vJY<&oqqXvr+l|G
zT6yVXZ8KcxE-T;ab$*~fc6BW?C>2pILIReQ^TFCE99U8CD}NA<p9Nr-7EEcjBw?rL
z-5HZhVadgW%jr%2bUPJ%!p5)K`fG4DG=4Tv20>v;^l+uP=}X}X&HeeOq46+-t_n>#
z9UWY{x~=J5o07?9L%&|~l`{~=(=$)^`tSo6RoR)XBwU_Wnv-#o(Sxit)MJe#W++fc
zr=+;JiaBWc3^dJiG6~xvrtUDb5GWMXLU2eYI)eOzEip#A@{z7CKj))jgC7O+bZIHU
zlQzAi<?^!7q4*1H>#%CcGQtEcbXCRJZ!aW&;aJn*faDs}!+lagS>P?>r_{(AV=<R`
z%R*;z^@(fdVH5cLKzFQD{?FDWuBlB$f)}!FFU;~w+*l0+J42`~7?-6HxX5Dp0LmQE
z%%)bw2?u)9O;33pRz}wm`50znZGvv^(dkTZ1(J(B-ms`34I@-&$D`AmG%QIRv8i^6
z@-XhG3$`Y|ZHjzf?30BhskaF-Ax}~5?;y@mRZZ=Yu*;XD&mcNd475_~RQpb!b==<I
z=hQ5tBGh-lAAsg)R4N@fZM4}u&kxPzu2G4SdG`ah`$i7uo9b=+YRU1=>14wfS%AXh
z?_W3XRdO^97~vN>hFOUj=SEbn0`uEAo(52@0Pg*F!y>V-q3BN`b}5J=w`TvRdS|`u
z9u6s_nZ}2ScAI`|Xq_bKgOn`H7&O_sdvtk+9xLg)uaK9H#w%4hN9{vk;M_>K^KFET
zU}ZXxPtxoeuKHxXjO)?JZTO-sOA(oT42gVNMn=WVu0S{78$lXzIu`4=CL?d3uwF}r
z#GArVy5DoPTjhWA30<wN<v&mlu}RY=bIo+_>O&9Uxv7~Ss~HlT+g{$04vr`<2j`Uj
zmeCkmpTQz7rNCoZ#)t@&@F?+)7CGt5p1sLTx_#<SSDA?6iGV!KpC!3f<DG1)M6ryv
zN+Q6Wt{=cwjk(s+M)wg>z7iE(f0;mv`qo;1oiWPoon2M!B3RdoM2Bm#g+}&-)e6SV
z>Pz}O`eo}!?#3n&s(kxaIkxbzW6sf;`1Y-Egww?Edt>*}>2G@V{&@TPZSJFt^jHj-
z#5H=jsk$Q)crMQvcqe#DslLgPDHMI2ihP}zn3y5*GkfdgDq!^`zPV0s1R;U9vG3lZ
zh{eLGQ{&R9#i%xAO($SY9{KHkLM8EoD#b5=7!u*(`Gab@sm;0ByIQ#ogqmE&<9SdG
zsHpyoj@y4%U?YKWa#TS7nExi9(A4l@dh`Fc4q)PA&kPM$nSp8T{g&q931@y?pyRUc
zR4wFpy4O6)JP!&3SV&+zRcisA40qJj)IiaRLYa2O^q%iX5<RP&DBcl$zIw%3utpA2
zR_BFA;K@lh>Q)E-nI-3^It9TgKkP-<U`WNZ7gNXFxk$v&Wtvf~IHlSFRke0_L(&2j
z;@7}H#KDzD##luxsTb`Y45Ix4!_y$%<ht4`nD+1m$L>*gOVw^m72?xFfcqDH8I4Rq
zd&S`RL!ew^=fY>~XmfM3;ZT3Hu?`N061@pkVYozV1!$Pt6<8tSG?f*+IAyE}8owC7
zY0}Z>6C>H9kyK$byMRsMPbO}0AAd%oy+Zimr_Z##z-T3H=pxC<^uZahod|DjxzC{4
zC*Ks?fgjtXB_%52;amsm8wtD-?HIR(J1txIiztPx09ol5G<3+EymLM>Jby7)kY)y=
z3x&DaVVWS6A>7~)VBLw7!3m*)V5K4AtbV^raaCU0jT5t?gJyN+=I8$Y*EJ=VNbxbT
z!0V<tNyFe#%qlw=dI&VnP?TKd_@lk3s0gGjJ#_gd>ns5@5AFX>s!i+uoc~#axcT_p
zfA(4NUKF9qO+ek4yqIZv&y1tslPeQ&N2f0R0|$rG1x`lJ{@awiU>aVlfxCHzmDv4p
zOn%1X$A;>yooU4)<$u}eOh|x^hI8;iEN4?yQ0DXQqt75-yWa}jB38UY{H$C||6$I+
zDR6mg7kFtU@;8ypn@lmO$_{%$LXR!EVesg;{A@#8T^&j4_h;rT{$togg_8vELOu*k
zW<3p~H?-mDblS;dUsHxR0QI-D7kS^uxiIN<XK?<<{0DzTu{W?ulV~A1B|2dTcE6O=
z)c*c{p&(aa6j+{TrBj8yx>tP9T&|Aelx2v40QpU9F07%-FS{{prCnH&Hi-mc$yLKD
zX|clY#X*B9DRH7RU<ncpy&_zv*y}S{h2m4PxLzoiYhF3#j#$4BN?3lYb)4oA7O?Hz
z=m&7~*|h1J53>W775COfKzI7^@NnlPPqI>S2)az(!0sDyD|~ZdV3o-G2<&TsC-H*v
zlKNEf6ciP!Yw^CgX5u8jqMdTk{g~1ni*5w%CU{K0rE;RLs++&Z{w}>ZETY|tX(RQY
z5QC`X;~!Xua4eD}w=x*SAcrQ2RvEfCqg+*{lAHcMGcz+QYiYd|RJtHq)4G2XWG|ef
z^Td;W(2N*8+1@D^6c7*~=(^v`f$9s_QkSqc_zoHed}_CN*Rgp?4rRj$=6t)jjSLLT
ztDaUk@De}}8am>}3XCD*UnYJfN*H(i+Gy8PzyVX!#O}#?8S%r1yRBQiX<xzMbQBNE
zP-5uo@1MajknrqEnn=n-KM$Q((exU#=1r><U|wMhp#{xg1hF(Dc-e6>Lj}vZWKFRL
z^X+Nh_$c_&wl#W3No9t<a8LX?UN&wGA3SQr1N3%2oA_$OJC2EMzNb&w5=1u3$!Dd%
z?RyDn`M-?-`A{(mvS$z3!qZ&@a01dluqHpU@fza8b0NOTENz@;ri}Tc%0%}feAcB?
z{w~g+PNl)Xhwq%6J`hzxkYY&GJ-7x!ngmz7H=Z`T@tGVX7uka>RPWrMDZO~O6TnR_
zry1&;5fW~%`)TG~O|^8-bYV#v`#<U|HE_jk`ox=O9)WV3<$0M9w37vNID}~vi%y<&
z<?u$=Bf!f`P_hCDEP*^$`gwAQHXI#>+k^4*>fh|_tUyUqf51m$X+Co&Hc@NDGkUpD
z4Ys2XiE>-ExgM|c*Mt|OzW}vQYfZ<pzyBLoS1Bj8yQZpy@InFxrAW}!hMt@I_0CAK
zf$5;jUK7Vpvvk-u#jPqfv*mp+V)Fp>?@!vkzMVB;E>I&mxw?6%eayf9U=@U$$BF+P
z0Dw&Erw<_0S-t&c|HYkPFfInj9(*Meltq)W8i=pl0wR&B-3Qnbll3Rua_H~4M_IPS
zwRNCeUA7do1-@VcD8l>qV)JrhTt$TSBTD2Y(p#lg{m~1}ArVxZ=MndX#ivrc`If3X
z(jPSw%J@LSeuL9_8>k%ZkK6RokCK6)zSSP@`Xv&dk4HX3Jj0LmbOw83fgexjW+z-+
z3Y6E$Bp~Vj%A7osg#_3-on9cnR99D@UEO#b=rb8=kE<U#qi4o%v%8gmG`XQz>drC^
z1hJobV^b~2BuvpaW{G+?ydf%Z$cXig0H^d_b*Hd=_L?V}TqjJqtB949UagLwfIhJO
z?q|%Mc+8nv)^07#1DwNkzWds)eA=7!<h?NR?o#v^3GazS1ng6M^j*q{SFgv^xsER{
zeH#~4-<+V=xqs8)A^GB~R;>EBT?d|9wR_qABHgBSNfLl1b-Qz=>2UQhZn^0a-CVLe
z4kh1ln>YKsLt%87sqs;UEh`c3<S;l}%MUqC9>w{DfbR{@8(*&(O6CADh(ul`cBJM~
zkvg;Ptc-E8GP3|zn~4P5RxSoPIz(3r(Z-_<-`D5LH`IC%nRXJ|rL`uepjf?Q7?ZCg
zZ=QQUb&&)Y4L?gTc((<7nuXK$0ia^;d_Yl>7cdgMyfrN?zN<aBP!k9NyG6ZpZN{7j
zVyszyydj{d=>@4BUahKk0(4xG-N(59p!+bv{8z{{>qd@lfsuJlIGm&)dy=H7yfmaN
z7{`3QBE7aDMTsFhhakj5Gz(F*>S4rMRJEI8?X+;M%xc}SQUZnPw_!lR=H$^lsUYGx
zcGs()*}XZlsC>f>0Dt$VuPVa;pBn*bhYdWvWq;+Sfz$c+lH53jB`SS{sX|Ji^2|{u
z0Sy)p<(hL7XA4&z91N@IQR2O1D9{f5T810c+<A89+lG331l4&tI(|Jed6X6KxgyR2
zq8R`6ZLyqJ%bNHBu7CRWM?&<PP$!)hrm$d!0BuZOWn0;-zqWW3<+Sjz`}Dx3Wcs!J
z;PrwUi>9e9*EXA+$eu<BE~PSU@IOo^j_>zRe&+7B2+f}XKOyJ1gd}bSqobpvN`7M4
zvO%1;uR-#JE7c@Fn2(~rCy<;n=hv1W(>+*@`ovUn#UP^JtsojOV%|oJLuB6l!&reK
zVBQ+;Vv3H7rrjGhI~wp1&YG2$Ch~gLFrcQ}^R1i0I2i{VJNc#{{k!w-NOljTIA;-}
z$M`OoT)?`nNY$;Dzqm!&ro6{9bV9vowfK9+x_^gGaLi~r8INP5h}CN_va1K|Xx)Mm
z`A>Cq9y?R4ll-QCqVzy*wggHzm-9xZgH9;*zjycp5RRR%o2WD>urzZQCKE%?1PV}!
zgUhkXcW}+whP-s0_r0EFN{X!dY{h$rvSd5>R1t-R@Y*oaw+8V?IUB|OehUVj?Qs5Q
z@+9&|glyE?N8CC(BUZdJ5sxf2>3PJ&uKY#K?$61PTeehPeQ`|rl<PSj^sFu-v|P?v
zA^I*h1~kC>s)#3!Csr==MH~*M6`hg0K<%Ah1d%M(@2+kb<Nr?!@QZ{2&Evb;@vGSe
z2|>X=0KrBe?bB@>D*|=q!+8Y7#9EyV0O~_6MB^1lT&%z`ST@dthmLDNU)TvnhqV59
zO##E>rNvwrDusrcCZh?MLo~u)YjF9R<2fQgMopm%E$)}?+RQF}HLtY-UY5AUhHrH>
zgde6hTYFdUk{&iV0rg+9+M{$b)-Fs@tU04sNPV$EMPP#jMS=ztDq;N;XR86Q;C!k$
zwa~u(04qQR%}*2?&1_^6=Z4ru!xzsJA&n5KGR{&4bSQmfQ=$LwuAP?K4L~3K&VCz;
zF712mmsDGIa|1OxQ(~EJ#q&{kEk2ih(mn%AJa=If_uE?Em)h=VaC$oh5vZwrOsK(w
z5H9hJ6Nl@cPzVP0=j{cjdy%Zk2-E9TvKOZu;fqw^=z#<AbkCyKgrQuepS$7J_Px%@
zQAhXTl<>lj(s?X|FMPF%*l9y?Lg2~yqs@wGBHJ-l9KWO&Us2MBRjTdxOm93^jQzaM
z_=KYT8@>pQwC{ro{l52I<m3F^+~HgM-;0d6XdFg9oETBd8+xs&6QRu)e!NF&x32ml
z!(aig8)ko0Jc>q}j0iI)$4uu+lVO1DZ6AjyYB7-x&#T3~x9h;t*2j@#8?l+F$`Tka
zpv_z-pieJOLll8nGo7?FzCI=<Ch+Sh0AZnS(y;9)3m&FWB?hAZsDnkf{#94+)qER|
ze5!qHi)7Qqy9ro59?IQIbc7>4Qxduk@GSmh$7;$Y(g{5L5FEwBHD>1`Nf#!uBqIJB
z`5^pfGSkZ?@9gKNV}M|jfi&oG<K>kYiO@@tsXk5}{u-J|x)s)UN7wUPhKv=sy%>{}
zR%v|%%SFtvJDZaJQaUezU~TvBES<rW5@|f+TES1d(7Dm`U6hSd6dqy5gauy7(d6>D
zDduUAQ&YD^zQonhVP;|igOR0_l<K6Q=;PSvXe-{djg1X2zYhxsmg`IuPb!w1mOrxG
zfg(Q=F+FBTQ`xj%C;$|sSGPVsyO^uUKN3M(8Npne&${(GZ$!XF{Vd^soA_}kEe^?-
zMx<9>l1r9c2iYw?uB#gsbJ}TTkKka+XAajORzlYq?s}7#tBVx!;+BdZ+%!w8!dm8b
zPXrCNuU4gXbYzs2p4>(}L6ec;?+a(m6(U<XyYm`tOI+<YXj9fZi3BxN;453miwjeh
zf~OEaw5cZw&S=9W-K;0tL=p3+PW&;HYnN_qV9xKN)JGx#!Q>J`>53d2?+|LrbEtQ<
zFt$CK5iir%?0>FYIRD;=C~M>1;6kTT^;;R7m9y&a`qDbnAVNa8kY>TX$CKvM)%;wi
zQSIDRFD<7in;gkUmW;<Wlws1kmjRFShTv~Za&0Bq-<Z*AFyK9&uuh|PEAyBBeaY9~
zelci#M+OIhJN<z>_Z`u*QgmFrd%>6*U<dJY1q09@jn(5&=kjY-8c`u;bD{5)JeGy&
zrNjI1-4@DZGiz$0uU)yZ7x&m(IH*IIB4l8U8pRK<zN$sZV^j$`yvgu>1G8{*bK6zx
ztB2z>J8}ivrGv*U8i3L2TUzkyePW{EY=kxN8n42zfx5v|AVxOc7gJMJo!<3p<*Xr(
z(lnTfpvA;`$F!;Yt0{5G?`kybnTr{ixSNwH{)47C@|2e&;Du8=X9=v+WfTH99xJjk
z{_LHk^5sz!*b8$#T=#gIlk&HUe6#SU{Rrq7tj~Jp5$^ui@{B(Sd7S4si?m4?(^O2f
ze-4t@a#Scrj3liyZdF#>;>4>kHEwPF3t^6;A3G|a20qTv_#@6v_A63(3To=5>tq$y
ztjtWKqA3SAW$!}}NGts~=91c(yH9YEUV4(hbnk3FuJ;8n3tmR}e{->u?sS3k!Uy1k
zEQ_j^L3p|<L)3ZsI9j&PyX!qI&)_sg+SL8igpM4Ti$aPYy$UfJfj`jU%7QJbhR{~N
z2P`F%>XOqj1G$mE3X+C8MK2=Jtf%r2!Np_InWdI;rN6C|rjvicpN4it&~_$!q{xRK
z7z+o6l0f8^*;bHC{m;3IFdhX~Vma3$HcUb!8|`}nTv}u=)?E#Hi`J!BcQghKOqsx1
znrxXu1_Cs4%Y82~!8HvMMv#U{6glD#EFsZmQDGQEDaUQ-XmX{vLUhlF-m6!>LPi%N
z@i~XLQw5%sVB?>3QwztB*l3ka#fXYMlg`sHi>_ov#2qb9nzBG(Ul0=$&m3Nqm;0iM
z7DdoU9(d)4#BxdFL_V@(eIg+yA>cXE289z){0%Yx--K0&EMtP0`FXatGEUT*S2J|q
zD=8t+;D0{L1T0ZxphKe<F@b??g5;Lr<{miH-CuB?aLJKG<04MDLuV^@<hwzwGEfF~
zbN{X=*~@+$3L0zv{P}Zt1OwV|o12qp4BY9_-)7GKei$*UH<eyq=64ES$r<j@6J40A
zkB?74z|zrYTAaGl3QG-5Y?0UK)~`3$0`i`?kBY2(76gHs*;{wDNgWgk*mSxm(DYdD
z=?xB0gNDmlm3&XCix-N9n%0zrNfRETPFh1EXIW~-6bEdi`8%w?QhjvLT|;*eVbWGZ
zXm>=3I9m`^6;_J9E!aQFtGF)9&5Lg4{kyrVf~+g&9D(DeGO#H(9FM%{qd8KKh-iYJ
zFc3bG>2g=rc;1)=@eMZub6<b<UViXl^jkkFq+_BH?n68m2#%@FX11ZDYWh~CbgyG{
zb7xGMH;v)()s4VP?gND?ItgkCtjEwg(rKrlK^NJrRx!Pr>E}DQ<&gc6!zIv?1U=xL
z!;aXyb{fTuwGn{(4%aX-Gv`c}sA?v`azC^f*UlbU^V%n!`$h?Q{L);{v~}p)gOjxI
zzKpf9iK$Y)DE-a#eRCo0t037S1Xcy$GMpAnis*~9bp#TWjN+`7MY93{bkg$K2#|wS
zum~kq)gokTNpbk*5!m6c{(DxZXmLDnuw2`>7nt%~df87#wkJ0<b2kYYnKj5t3jO=B
z`k-|o3TTZC+1^Uu<_j9UBO2q5EdJCqdnHe-{QJZgymqgraGypwlDs1E|Mv|(X&CCe
zObv?Z9y;)pX_q6*rXXFltZ#&OS)nhC{Q25TwJ!lGl;X1H*9i;%d428Qv7+t~$E?9r
z1j&&9<<j%yVPQ5{{^s~Ir(#48SGi;|gMWl66r}!wu3~J<cG$yReSpk^X*cnnRa8E>
zjaoii<^_7oG-`1~30%{LdWt@9EiY%wpDK(aLhoe!7NH@JN5=};lG{(*rDYE0jklwM
zB~g{Cg&qJF7=I?Y>H#Xpzfe%h^7M`j281P-f<?umxI-wAp9E<P>KsCFdPGvDdt^ie
z0Tr7#>-fym=jf7*siXu{c}fg&0=n|ci5zJv%i9(<-P|gZb<$3WixG|`R;hzWI%l!z
zN48x_Rppd{Ck(}Xo@{;y5zcue5r#Mx7VJkZfs(Ir4q9+@qc*HW%U2FJd|-Y=w#p3O
zya^b$*q=RONK_^>qvgl)MjRt7mWZ5)mzsVBhm32xSm@*=BD&mrDOJBxw(;ZR(q(TM
zo6qjc`Y$>EbW_>O7Xq`V=Bo|~vR3eja?|=REbhn?DF^Vz{FQ^N;%W8gP=Z@kt02BC
z9*fT1%EI_}LJyxleLAKtbm9Oy-3(HuS#>y`n~4g(tyrbN*SYIqEMMn|Q8i(H{yogS
zy{3j<EsI4I<NHDHKP)zQY`inm^D!C|z7eoB9rsMjv{fcQP=+5|J^b{!&N>EgNbV2I
z>1H7MM^b@CAE?>F_gQNmg%OelhIp%57b+`Mi1+TPF;*}bXzMQ7pOkrh5*8J0x%e}@
z;Rc+&2Rv#KcIkTTd|>P%k*5}RX%MW2m1(ZO3so|===kWgry~Mm!bp5c;c_nu6QO~V
zt5k{*#=?bgNZ>^9umL5ar-W#568V|OKdAc&WeN>SwFq+|DCa#Kj#dUMBN~(yqo+ip
zK;lCz*mQBhSD3+Q$U-&+qaids?4ejm_0ldq0@C+P5m>!q9>zK8=`G_grDO)y*Vn6O
zX6}wv*=Zqd*|0-c0#X|7V#_Ww#oHf5znmtdFH*x)Ci!mmQd#@;M^zl!kZOjR`m}6A
zF8PX9t%P2|6#fFLBfV}pzmq|M;TAX9D}TuqDv6H`AdTPZW6nA?z7du%Iz5D*2WPh!
z*|0NJ7L&ncm@Z>ru@rkp#_8%8mLc($PPRd;*W%N(eU_-FJun>z`Ekv3fr2#kOyNJ<
z1#zef_?7ji|C_kSwzo^27TA*-e3Cxs#jxZfPoI(sB`1Xce1_}%p7Mtox2<5tLT!E=
z3_QxO*3Ett)>dut`azJ~Bm_@=N4RZM<G<RAjGc9E41*P0COW@4YavKLqYt6wpWM|c
zc?ozqFe>5qKBJ1m>*mHmmx-v_?Z%lnQqRQ9zW=P%9F5_p+%)afH=4JjW#m;gWero4
z*{MnlZua^yADY5?bfj^bv*pwD%>m6}L;q9wUYt|6heXa8cu8+?7q*c?+}|E!vM7az
zpd(@EEHEOX*XT9E($qML<r=K7x;)Q@Vy|W&YD4gM@+2P>YphFmVIYzI9R$H}3r7?r
zbQ*g^T}&C@p`oL(Mdp^W5(K+&Ix$B@<!_?^?|c@Zu`=S4lG2S0HwUKQiNbPe9q}xR
zylu)*;=hhWcZ|Q*Cy<xhYg7?YFhzN)qY3uK<Ci0HF)B0fe`gPW@oD8fHyw9XD@Gp3
zUuKD_I>egcck=K!j@}X(*@*r@6agS|LM12|Sq?ML$AAbhp>w1rODg<$S3iUTVAk<u
zY~5mOfZuG$*1vHZZJicq)yR*U7$PgmhxgD$9h>O=F~Z8l2!+)+3AlXH=SW7V_B$&j
zJm=UDR>2{4$$eNallCkUAXPWJe2tj>t|7$zM5mD7QsIvwg;Zhs00xDUB?<zdPAQ@(
zDz?k8V-{S;9=ETLUj9|{!A=Fc6oOOLU<cEiI@A!pvAOw}tQ3sEq+`&n9Fs~@VM-iS
z0uh$cJP1~L(3BqCC|62D)F%JdZX69Ngb|KFcM^n@4PcBhuZ5$QN+=kn3cCo|ijGB}
zd=?gbWV%iAvCvmwAm_w}X~PYjS`IxF8c%l=rNx$2-_l8@eS33VC<DJ+mZle?+--30
zb<g^(kbnRwGgeO)Wz|8bF;>I?`LM<dUh&7IuU~g*=ufD=x*GvZotRLh96Hg<h@GGB
z9(Z&7LSUhhhbXwf&~)nZeLk(c!IVMcLrlqe7z-s18ktj~a#Qx@$B5g*Au3#MSt98|
zjmTMH8WI?U`HpMGeD=^EJV<4^`Zd1Xr{G-=|3bd-$x^Xm8t<8^nCaAB`}9FcD`yxI
zYaH4usR@Z!V*<MT2Gxr8o708+uFFr0u<}MSwJ}qpar^Rr%^7hC2?@QdWj+`06xqs5
zRAYC|^SuMfVT?!9Z!M<T6xBG*SeVqEx2sF1|3HH~a>lwyMj#*}VHetmv=~q<31Kz!
z*7apxk~3ye0V-OeOnN-x!QwULoa#kdC{<}NA&>t%Jh-V|Nm_nt4=+d~sP1AR7kOob
zzFs@GOETz6(ZN2Zm^@rgmOsJ6j-Op@`Gxy0|5DLlx}jR6+N;}iTHdH&xJJPQrY?5Z
zJG?R0Ku&(@{=B5+4^a<wbVRt>y3i@&R~$L-L1?yS8%GzP%gc2>7Z_v+;fz(hlEZ;}
ziWCjLTWu=tTgAGoR~|D!?xKTE2gj7zzREORbX!HPe!!bkkJl(dywgm2Hx#d^#2><?
z3_-b=P;4Ecfz^8K$T4rzMm&;>lN0bUvlu#)bw*r`mi@7+^Xdf6jN}B^H-S=7`Ax*;
zT&WMMtN}#x-@{7?uTP&T@zX=ko%!Nj5??0;IH8OzE_C5Md}rGhm`r=TxSkE!)S8pe
zhvh@)P(*17^1{&z$O4{}+iZR!cKfi*n4d&cgbB&uU>&<(kR{XIa-z}G(_=+s#Innw
zzk*HOB~<3-qGg7@t+7FlIUx&8=LU?tCBwK~yY|+-lN>Ip$3|sMD)^;@AGOo;F!Ep8
zRbe!L;oyPv*mioJvL_E&zc~pAD!{d%PiT_)-dME@(mG^*;Y*C5%a|c)3P}pokdm8M
zMjJLf2}*^I&-V2KGS${ZNd={uB8Lomb={(psWn@nTrEO$In6qX=l?jFt6aBvrkOY4
zLnLpx_K2Q84S;hZ?23?@B)#0xp2lad&DMq;$rb3L<UV#Klwvw0=)`e&ERYn2CtyCv
z+qC};Kw*%|{TGdi2)FOOdLp5K2qEQKbPbH~u~a-lHDmqjJ9t1@B^F%qEKZv(!$bCS
z*heS7z`*6R8@aQlNF^LZZd>@jT|=jX<+g5tZ)AY}1D{!QmBRwFpdeGCd#{D7hlht>
z`ago^4R1n;fO}x)_%Ow8;>wV)GS80`{)p;{pQy_BBCYS&o~GbtHJVw<R+EqL22KEg
z(3j|?p0&Q#6J8P-tCB<8KbwF07Ucv4Ful=C+uY>mPfDx>Ebox?7P${`VDg&e;ftPO
z2ly*-;xBT4u~_Xn3W2T`#X!t&FcPq|bm$rLxb#1T97Tpfl)W$mPDFfy7~q6evyUfx
zkQxw1FyY9O`MfXhn&Dby4;QnDC38vZB_`Tl*#;JG0AgunqE7^goGVdZ5&?8$8ShKu
zvz|y|#kfbtpdt{Y1{fNO240{4{rk5zEEbo}($W$v<09I*2m)M8sOD=9zft00XqTdb
z!tc*Vqp054zVl(xNDO1^ssgIL^2W2e1uDi8#u_mKu?GLQsY=ePzM#!aqwl_8<=i)x
zm(9O%rc<NXlemOZ1_~2ffnSZI-58Vu0=yJ_0a_G%0fPb1JTp5F%&hrlJgom#sAh?*
zTI7n|OJ+WeEU>(G?3ASYeh(09^d?lx9WWH(j6*Hf<ow%Ch6_f3V_W{fu9@*jFvHr2
z+o@iOmw0~tDS)s{yl<F9wtyVRW}5kJR{z<LuHnHvv5mZ&zqUL^0?!m<sl~n@oV_@u
zdSgVUNdoG-r*_pte}3{GeUiF}99J!onGpej!Jyi`@vtqbm!57N@H3!W_x3EM@pF+r
z2e`&puG&_vdY=Rm9&k%Z-NwEInMGD0<_IP3K(z@Ly;fpH)ntDLd@qRNYpGIKQws#V
zfUxJzlzgi|#t7j36G77tAIJt985|r$wTuSc%mf7_I1Mo=F1)|UlYN6yhJaMeZti<j
z!iV+M0sA$4*Z+WOq)({*6S8c(MN(4oU;51FO?K0ZA?s(_M&@5Y8Z}R!hcQU*Pi;Ts
z%ef$+TSxVSKFD4MHQ)b0zQG94qfnpCbCBSH|D6L$wPbwxdj@L$yL8(7^^;}4bL+k!
zbiO9_Zw(ZU2er;kf|Z}LzCM`9t{AsTxy#4?l*_WJc+Q4?>h2&pElVB^<D}Jr)17-%
zv*BLgsnljzY0n(18u|#G!_G!g$FA`yOcPO7uC1A5?DzM=pDUG5)&1e4E`hZcXW$I+
z5RF}P84ZI;!>sfk^pA1cYAOjok8q``&Uhj?T;Ro25*xGPIb;0kM@f>&`+IDm5ld4c
zv=C%G!<VK4TB4e97oK2)Z29sx{~qr?QH4+E8qw~%-<8ibV~F%sTX|Uai%?>FGMeQ8
z{Qkkh7V;Y!a{+zBwil5BkyQvx2>5yt5qJ<H_xWdribWf8FwaMn?zY&0gg()X5fg^w
zFc^3-077}fnKy)uP?QvRNJJx6F2jEgNIA0ik>JS*Jo5Shcrbo8EFv^awkytI(CZ#+
z%2?zN>eCndETY1ra~0&H!WgHeq?~9Km&9YKn!v^S!r~C+G6nqk2Z?MV>O{<7^5E~U
zJ(N5w`?J83Xq7o!Ji7tC&<Q){xJlmoS*srCt6@)9aTw#Htrd2LLiI$2B_wV#E2n^8
z1$=$HBzbG}Iy3^N**%SK6r7#|%0zvAMH2@<(;j7jkavKS8SaQT+*co8`CzS|TqFR_
zWs`QFhdXo&@c<P{PBt~rO&Z1~3tS4zJ!vsFyaL5D4MU>L4JNlcU|Bv7I(=SVuBM`r
zDfW^J2i<t)_DJeB(fuFjtB-VV2e;eChV_gmE*(nN`49A3yI5k59sO?J$_9Pd5X6=|
zw7tDurd6_9-iI=SqL$s-5|9l8{u?w01I`jCWKvX^X1;$1!hr%75OlPsa3@MNwt?p;
z=&~f}a<*R*8v=j`0AcE#9zv35&0_&T9kVh!>6+Qtw(kU-{_1FER#sMSZZ(FW8Knxr
z8b>YG01}xiC=c(x@a{$lZaRSH8s$<7{Fw&IhyW)G;@R`wJeq&Mb&|6zb^cn)8<_Sv
zhbd`jfMViL<$dVivHI;X&A*>CT$x`4n!a^F2XR1mHKD}%nl>VTJM2>v0C{W$9}@2H
z&Z}AP^dd@s$sq)AY)SCsPY52L=6B5TwGjZcI#bdBHz1^`^qHsXOvP^RbkQFzMP@R!
zq_M09`|0iTaj;*rMBF#Q;liwzN$z;Cd74o;Zp#6Vqep&qwcfFrqRyG32@<Z_uGGv~
zm9grcyv-Ujh54AeH9VqoY;kx?-@3k?-I(6&=mEh92ptf0UF}JDtOz!R@D?yAi2Ky&
zR@}`NUC)-BHWqI4KOPt_Py~farr9FyOex2*&ae%)v>58`9pYX6<3a?Q7D9=1<U8B*
z;|0SZ9A?8iy!oFyjJRH~pWK5k{2wWtKDme#zEs8GDOIZdlK=Su`Ov^VDEJ0-0>B{T
zKls$72J{t!Bi&yzDB%#l`w$!(U<2u14cK}((~D=}>%Lz(O<>edvM_JDJ_k_(wIg}@
z9KV;_#5xXMP7S7pZ(z8s!!5ShflLN;-3jqa6?uRgqx(8!XDPvUG%br~Byw5|(w5bt
z1u%X_hNzf?MAq<z+4X3<AksQ<cgX4)#ZSv8W1}~xKw_S(wQ{$cC3RRj@P*if=g(4d
zxdH#O<E95n3W>eiU2GLV1L)Vb>^^D*fEH(GE|DuliFa;xfZgM>iFRF^X6m`YHt@57
z9}FmFpD2OfK&37_iig}iCSnfJw6!M}j^+Cx-{MIqbL=ajK$m*=$z=;4Q|;Wh26e#c
zRt8K;q4vpe$Mvvoh3ED8A0YeO6zUMc2~qc7B|ZoQP0%M*FG2qTs0w`9x^(t=OCsVN
zB?jx73A|pT3HtHs>)^tHbX5pb&#O+dF^qm;dEtju+L|vfshJhv*+?)Td5HMuw6M
z*4NjAe`R$`>h_|m3zY;4ZV1<(Axq#Q`C&<OHLEE3H^HXX2YeSG7<qW_iT_W0U`Vpe
zxgT`ijoLq8!b91qf$_rh_HyP^P|wQE(u#45?s+E0zrmbqT*&_@W99R9*nP?KA45Y!
z$H&JGCP(R<;%x^$V}6eU&&?Ma)U(Aez@r@Ozkh#II~KuJGShxqkLt}9k(}AGAb%C4
z8%}smH^v9FWhT`x3a!{tf&oA}sj_A)%76|c!e$q?@zS}n=uN+t13Ee*%>*Kui06#^
zGORi*pI1q%XLbMR)1emk_MjzSyO>6jrOi-zm1^cQ?toNCxR{iUE#aMmp}Rj`%|-OO
zr1egA+uGXN0`vU~l!6#6!_}$Cc-Z&-&DMSYj>l*Z6qzoI<u!KNX~aB;p{iYNL`1%H
zp3-X#{D6cfOx{UJ69pt_b<F|5kbP-|#Cya0hIf7!$qLit4r4)B+`a;<+)>c4Htq`R
zY4wbl=MIT(4l@5$*dr_ojY+J6oW-K@o%3^Vs`}+{?5D^f;Lf;uds{+ipdtR&m9~e_
zo{!i2B37GC0E}cCgs?wg|DSd}7Nv>4V6NTsA1ab18usAjXSbf-b&+7BnFXO3Cz)t;
zJ%fqN1<B0398}{HSuPMx!nADdh^L^J3-F*U{3P(pp4s<$O$(P(ot*gP!JD?YKGX%i
zz-YJrBQo>l?`tOZG4e#+JZ8>}iV>w5cS``JgF%<i1`j#ZbV~)5mZvK*G)$|1NqHQ4
z4$>=3D+1Ql#69xvc4Fgmw`E>cV%)j6IMG4-#0CWVxo<|3DE_?|{?J9+HE+n9vCsjw
zKBrHsu-rAOb{Q4;($@#lb3mm7{VHe*q6xbG6I1`ut5rf$^3n6jo+?>p_3Xvgm(_OZ
zZ|+gI47}OqeBm>Unu$<_Z$W>^g3ut;CP9r**I*wV`K??nKhOBOi5iW7`~TqI449Vs
zoFlwZJOH>JP+Hs8l^bVB*#G<x{DrJVV4$k5qDo(02U-Yldx84uexSd!e&RRRmwg79
z`THPIqXVRNT<$%W0_C1(bKYRjEnja6q0&jnHYe_1ffuve(~t;2aaZc%+aIwdh>{YO
z4jWjKwh%u-Ij%XK)WmprKKXm)J!7$Je-nCMj1|1)$Ek@IT<-9uOuNlwMHlT$Q@)sq
zSXo*4cl-4Wfnj&FFEgH_B#Z<EW7bKRkx7<}QM3&4^@;s@XzvEsy}b211OZVb9Kg$Z
z9?YuTYPwyI7K|2M|8R7hVJ%_ku`(;KJfVz3V_`W~c*6Est;2Axo#fX0C)`Q3?K2uD
zn+YZ2OS7-?RY4<;{weLWJ!Rf~C@+8Z*N3|<3PWJhCb*Jcq6M-sP>ZKK`AfG#AR_;~
z>pQ<wF)}SXdwF#Cb<zY-c2wCKcC46Ik5te3pZ%W}pj+Wh>(D=$JZ@3Z%go2%$QwKI
zIA;GH8A{~rsGiIBcr?=^xmag_)db&+o7^bwr-&u0MKdAZg#6V0D4LeGXYe#CA534C
z8H=#h%V`Hcrw^xTPshI!%8<y96S&7bziL;w;i8Kt!km8{8_=LNCx!Zp0v(ek*k5M*
zy&@Eggu%belK!;7!SSANcO9ry@_$*h_cuXPCK$H(ckHYi_~yfcM!$Xq_1@sXT?sfd
zen0qbYzu@0#8HWW3~LzsSCq9r;v7r@SE+cYY?(7=V6+D_eNg{9KQ}ib=r@quqDG1_
zUACr+al!L#MJeB(Iic~WcMnkDKhxKbXuJl0h#m}<xMxOE{g_B@u^k8!^XmXuWDqzb
z7h#8$y1QWWtgsdxfF;XCeUz^LLIsA2IynpCBwNNk=|?9~)1jcdoSqqqp=!PWVX3+m
zMN{|HDb=E~f`+0Q4Db`%l9@*#KnZa7Rhhm2oW+_t{G7Qs#E=yF%7Qp;O;b=kk}&&P
zPt-OMk+CVLWw`L+pI|JOJRJH`OaLKo9svWC#&iTM+)_)1CFHjVhFng3$d51<$1HJ^
z5i4@bHj^jLS08qL*^*lr5$zIV_}$+~GBFa`Oq>r@WIjB=zR+#U7;%>;RY5}tTgy$7
zTWd$H4gp{tO};3*HC&j5WHLk#{RQne9+iiACH544+%^8+BV_0aAqGZ!7&j|+QkDL9
z1)ha?PUZw9)Z;FSe&s9-RGMzL1U`LF#~#HiA+g`$++lRD8wP<)Xe-_fqe-CC1}b9d
z9O&apw9gLACU53d2psUc|2V2nGWz*P!0P4C7-_fewZ7=XAJ_%;hbJeV3k`|cIS;5Y
z52vO?q<(2B{XO9|6)f5!)KZOBG|V&fv%mSpP?I6?$0;-);7v-ogtnBSWVa9LXtBkY
zI$Q=S2Yl8{TrbdJtkQ^@4N&5W<=$-M3?5HQf$IYaO}tdlJsL>@2p=Cm6>mm(%ir3X
z@!t_@rJ+^?$nIeV&k8VMKK$LXTZMYSfob9MA!7!O)9a<ym!@^rRshQrwDCUP)`ZS0
zS1v1uX)YMWw}K%Tusj3681@fja9x3wBl3^>A~onDm78GYFkDDQRn=H@Qy|9#I?uVi
z$a&d*l$FXk-tr+~S;uwwwiFN^6|W=e4eyp8i4kMGb}_BFHzQHz!a!K_XvU}Be!**T
zvQ&emr|<pNL%Aiqu#og(#>7Ee0i?v(jwk*uJH$eQg{#^9v8iRMPkA(HUspm6=MzVT
zdc@PTTy1G9BzmwJ0j{REToFSw8k9I-q-e+l6&9Gqd;<-ErRC+7l`t7NqL^iLc>xUZ
zQ&UrdaeV#kJ>eu6#SqYC93?3e5@%P43aT^sZH%i4R$rKuO(Kq4zk2G7(IM%B*}Tgp
zjkKmrc+KU_Cp^W2b*pk4DT^-CeWZKEl5ImJk6WAtS5RiZMJCN5GPd&a<@~q7K;5=X
z2QsW_aSD?{<2%i0i>8z@w<>=G$#!RKdwy1XuOwrAo3i+nwFqQT${cu%`c%)j8<P?0
z=m0h_Qf@UxU$hxE;|Xe{Ue`Zn)5BoQBcgPnz-q5%#Wl&m-K4;KQ!K;TnV<Xqn1C{?
zY^0hU0l=k=d#8QUILb_k<{0*M;*n%;DIRj%Au2C-K3a*O)BD1&iYVLVWyLKb>;Gx2
zhlUQQCx?~e34EsZ42gx)n2BG`jrb72A7bmziX62))YR3bfK@2xYH{lkxM!{oQ0o4J
zJHbFs9q<$1v}r5buga@#EAyg{V6B)S!}N~-C>oj>fTvI<q9=iW-lAk=AXN7W<iGoD
z1wHt_{|^j3flc>zy?Vm{aPWX&3CUw%6#*epi?z?y*^(`y!NbA^sA0LNTOR!fX3PMh
zB$<dhBFfO}H@c5`ceBw$U96N!VMuQ$aF!d#-Ry%080Rovw+4c>D4GWEZnuU`GP1n9
z+}dD4b@pL6U78G3yWe6KO-lqtz5A;~^sch%<Zl=^0io+NiG9+y@-NR8F9$7yap3f-
zdigA)0SriV%Ri2?OE6s-`A$&Du)z7OZ^w=I&}}L9!6hNgfMs62DUdBdZ3v|)Cqhd(
zw}i_KV0HKtB;Y3O)qVN6sM26mttR+AV8}O|^#i7!HZ>z%&tD_-Z9Z%${RadiDpyXU
zGFqg=MN8t=2&i5<0PfZ`K*$<#^*_}fTS&O)gZ87v8Q4Qke3zVs+G9YXVJJ@bx2V!5
zGCD)>V9)W#_vy?wjb1@6Bas_p*z|zov9FJc(8!1r5@fqloy-JeSbcducucKd{?r^v
zWSdIvqIj0H-W+V$a?JKKpWZ*G2$P%5U#{D8snEK}V0LS<VZV}hG0+?+`;X)rpX~;t
zce3yc=_WbylMO^?Ei}5jxp|+pdeViiANjCu&F>e4g{X6VWQ(T%ez03MwY<wZJ!fcv
zdkIjbKUz7LQ|`b0!E|%`<Bk+g$d7SFnwtv{H;6iZK7mQ5Uu-#H#0E95o9^3YFf^3C
zO~r1Azxv&JK-O{I+t_|miMrwb^wUUrY->p7+!jb(7E}hLqK2y1oj+n;_@h7`DU+s~
zOUnbE|EQ2vnM~gBrRm=%ju|NRQ+X5oSQh>Sz0-#Q7x_R68+1I;=I67xKIW4nktr>=
zC&w<D;s&{k6qZ052HuD{TfuVlgp6ADZRO#4^q3H==X^Yj@P~?KJ`4B{94m|_0oei+
z!hWan&mVND6zj0Wv^3Dl5rrfX(S~Y_l89x|LCUO-3%^}slhQTycRb^f`Sycf&N5>7
z?XVLkPa`dNBYWIMUo6S3;y5X#F%{ka@yn*muXwm3WMc9-SZj<I4K6+Y^?_)bBb;J`
z5Q{dnP@-|x4#|oIL$E>#Npv8qh<?Rd8i%<qXVinwhfv<Da_4(_j6!$K2N0#*5%2r=
zZnLWrEAWoAELC*`eoZ!{FSYBMj>zSOitj3wtGnxb)yq|E(hhbQ;(MFH^`4Fwu3|r*
z@<swIuS(s=^(9gE@26xHxaGdvKXSu*7Lkuy)od3`pPu-JMAqz}$3GCVztj%pK$q`@
z2(S2Qo;VbLJP_-86JnQ+OL>A8LJLT2d>{q@v#ju&rin1o6fHAil1J~kROjc~!er>U
z1RuHWf+#S@1?Tw>hP6bxh2=zq*YH0^j0u^bj&fnEg!B9QeW~liP1F3{OJmfzVf-=x
zJQ>@;3$gtV_`q*=P2;ex1)@(g_f|S?L4uHJqn8TgeFaA6Nbo2Hc!;5iNi6j*)Wg*2
zB7X-wH_(27_0(>A^*BzvhH>ph!Sf9|S(D733qg#$hR1Dd#Kgu5-<Vs*a6`GUFtxk6
zJ*e&w2CV4m2nZrTFlowm#DGX#!JlXzdCkJ4*fkY(^%sd6{(EKYXr)Q6H%C4=N>G^{
z4(y5YVjZi=J(+=?o=}h<v^B>*{MsWtR%QK)I#-2-t;oFam&00Of}M3Y9KlsocN=uN
z%->hl+J1ZMpIW;TkS6x>!Px8?XC!e-A(4}`JwB%@J}I5C281gB$0Ab7Ee{CBWK~LP
zK<d!h=CT#qk=nA>+0${-%DuXC@#<VQqSl)tuAeV^<M-~|*vkv4b6+mv1>6R{hW@lG
zUsx}AZvPf}{#)Yg>L15}dQ~vd0}6#oejjsYq}5^`54nDKU_7F^YM6ZCkFY!p6KI}r
z&`)@PP6<>1@)us#&|t6@ZTYxTReX!HkMg2=16!pxT8+#YX-J%nLjQd7@@H^_^@Z*@
z=;E3hO|4^4&`kPkBoPZGeo?+#_FH}5GBh0t1(P!h@|dS9G!FG)hLEpq9y>agM6-B&
z*Q?cJ!FeR;q)^YCxK3K_-P@Gp@%70%2o0^;UA>&dsq_CV*{v5{NQTew3Z`0N=BBoH
zFezg=Tu{hoX7-vpQVx2g&zW}Cl#(L}@Wi%SMN&-Zf^piIlKc7?ba^8xal2G7Y&u4~
z@7X4eAC{;F7Gi<XD~PF}Vw22{-iAQ}BC&jn(?{3~dkD+mB_hC?eh*WA2XmCYq2Lkm
zNsJ3T<B^hjv2Z%^?x*~??S}_N9?rg(x)(~(K7=@QV5AB+C&0#_vu<_AgOFv9(>Ths
z*;<)z?m?(vNECwJ58jNxCWTta)9u$N_?xW#5S4F3J-1-p3>LK{02~9i#8yC9R-oJ2
z(#wMZNi<N?24Ke@AeZRhHGo5avkG(;fJTI@`3oFULULmopqU14yXP;hZY|NIY`&^8
z5p;uo+k09j96(Scji#mYX`P3q){qq@gRrFw4TY7@XCjBlEu#}S^I3RR6Or?df@rxW
z)uxe}M|Z!}a3EM~IaZVnvfqYjER_=F&3e5r##ikoKM+K_58>p2ipk-PSWEF9a&w{w
zQ4EoE%Dy=L;o0OVxZGh@nGAtcXSEmFjZRnDd{h>|%jH+*A(hoztP?HE8TCF1G$G{%
zry{GWt6z#zH+b9EjZ1h~d3sKB6OcZl4+W~W{ZF?F1>=r_jSD{wQ*<hIwaT=MkaIsi
z`|V&R&`%s6C6~EXTZT(VxT@6Crk)`wBt;nW2jU7WT6MPT3V+aICCC4&UvkXTW4T}z
z8*9dN(MoGVhIPW}r#O>_Pwt+0;dZrIur_EJlCR&92vueUCULm!W7C~#jvUuaKy$bY
z`4z@B|MF-xp79*n)N1JK&D9I@4R6H4=U@;|iXwtxrmiD6{$MW&jTzI$ue-8DzR^<U
z6&YB{Mic?lpO^U4#eFa9{a;a!j?>1iQjW!N#5u6;ghH)`y<$No^<w+~B1w0+q{qWD
z+;b>e_NZe6zfTlnvp5W~jLhQ@t8m{5^(o9BeAS~N;?*VrN<wy?|7mF-j^*Rw(d0^%
z7<)*7jYRaj_PO($s=;KyUzpEANr0`4l)*7bDZ0#gahfL)hazi?4}539@#Y3D%YUdO
z3{*5>bUOmT6W0L9@*k5p`+PC-0y`MkaAjYDxgA919>geAzi@VzyguxPxc|QC_}gYI
z0^WyysI~ay_V1GyfkzoM0mqujJ9mQBN{+^Eug8MU-voJ&jQ0NzF#CxD9xS5U07TI~
z5dT8ad*8wI>KDM^@J-LVXl}-7Zg#5wu|WVx1PGdowY9b4snml*%f3YwK|w(<ce@BD
z5j0^YaN`C;kHbUbNrIIzr@oL^1gfb{zGLVl*FuPFMe{&EGKpniGURKtI5>1^D#hcr
zX3+rY<5KQ=mcq#WC(2ryWrF~pj?f|$5nW*P$o#`4y7Q^I$s-_jY+8$DoZNfDd5ZQp
znB0;|(U5ARz|0V@@S#L`<;dv5jY-R7wy|kgrTfp&@6S(t8YX*tG?af)$7lgC)kBop
z=W?ClDOEOYFiv9ab2Y!v^lS&sa&sy)Ih>RG)M=TSpd%evv;hCXnT>EQeu{?U^PYh4
zUWl2OR|BZ!F`pH2dsgGkHcEybDn5x0!O&HnPI~SRIMo(SfRth-rzMJ0#^(??7nQ!q
zof*FyRhkTC(HHtao(SNHDSoL~(U8|>&1z2(W;m^3L`3wH&aSF_MH*5k`a_Y<VtG?%
zH{e6TXV#3F8wQKFREp2KWmgjq`kUV!20^USsnVe=IJ!w$?JW0QtY44Xec@5aH9&WH
zFQL!+03^G5OUM;(`9SeXiz+IsLgh6nKdBjfx_V)}nZ2HQoKiR4d&lO`z=qr8<YcRp
ztCS2ic_LY$qJ?tA52jF&?`|iKdKpTLoS_f{Ei1%e`9aKO*O2GaYwDK|G{E!Lx9w4Q
zUb%3sQ>zBcqG9;|qv^cEseb=IevCLqI;5hIV`XJ4I}RDgh-1r4l$pI}4zky=SH>Yb
zJDbQJ3CZ4MhbV;KeLmmocmAo1uIh5$=e}R#`FuP*`@h;7zWgoF%@;X$b$*Q7KZ4o~
zJSx*TOE7@sEVknfpZ52MZ;k2f*+YJ<fDH?7I0l7-P80}fF8r>*3_h|FEdTsgneR7D
zw;0_5C4xhX@zqIv+r{&?<L3Y{10WH`6%}P=Byc~l^E*$w_OHbFxER;Z;%383XZZ_w
zi)C+oxBmlm9(3KT@SfX_rW1`<D~!4Sga`X?@RigNE`1HV@6Wy16WL%z9@+`KpRa|u
z2T1W_HK2?is390U$^d2=7D#srELY&yj7h7}o-vJq8g%0y;xifr2U5i*v#<dEI_{Ee
zu1^^@5O%1DB4DXHbpCP*7SUDI|9)%}@JE7Ii3%NCe5)-)@<*NT@1LWVl|OdfI{98k
z7P*DIG`G72hx{TJ=N~jIOx$#5eXG&-c*)kuZf*9n*@zNe4vi`CO?w#_cs%taMDL%v
zY#)8i7u!5WYWyVkDp*-{62;@oH@NuScQ;_evvVmHIB@Qro_$yDhY%Fo@njju_Bv*y
zrqcE}rWGg!F-EU^0veb}R{-I(6rfEM7a*4<!+%Ix%QC7TDRL*^1=4&>;Is6;+g5|&
zdb>;yZiCB5L!Nc(^B1`n671TM?J*>-f(<^^JVH^XFRQb~t56)8dwhnHk25l6FUa2W
zKc-yxLxNBIfE<b^!=lN`O2<bv*bXPimx)iLf0lHe(>s>zH|kM(nHDE#dCzKJk-=Hs
z>%3rWYst>W9s~qYb0<-K`<89aqu}*Yb#?m5!Ke9>Jig{vW@cvY)*dr;IZmb8Pt*dP
zNy6j^mms2^qxQX<cs#ag#D#y0VTSk)=$m0_ObhbYxRjETlGZmi+`qbcgIR~8BR{!p
z8o4wQAJroPUsR>vb`b-Mr>3L3(X`d#{HjMKU@0-#c6qD-2KoR4K8oADsjvxxb_nb~
zPH`h%z`~F}uKCX`g+nA?00z;&(<6W=6;?gM)iBQ&&c5R&vopFWx}WMxKvoVIrd|2&
zfR@Mi_viz_E-EU_N=r%kTWfM&3)*OZKfg<C#(5AJu#IJ3jtdRpu7B*#Mld59*C~7b
z%n7~3{RLK5Me6MTaNt<5456GroqdyOdbH*`CJHuYyY&m8>;Ri_|9?IHvpby)iLt20
za&hY(kQva_EceUO@nlEel`9`}a(=-Gjc+G_q19E6Ma&RLoD8tPLJgWj1wL~~t9TYp
zf*TMF%4kwsu-PiD!7!R1><Pg-)osi2fJzi#w04WKDLE7?Ua`d84uLWXMCv`Z;OT)4
zFSwm+tKui4C_+0sOxtNRjb_0d>ij_z|99I*HnnMYS+V8$ho>bvC6mo=x_4+HeBE>Q
z0C~iD@3T$`>$B|A@yA8te0g8rWj|i8*GaYBH<8BN-ura)b2Lvpk;A~mq~hvV7?NsD
z4<AC8Los@{(M)(-Fx`fSO(IjnL^{$@y0_Tu{APliue1Np?Zah6KwUxo2dUG6HnDJP
z!EUY9pShJwfT?lXw9q&4m~5Bm!woY!Wr$Ldbni2)%@OftM<=I2h4GI~7cfC+NpvQM
zb3bJYq(n*9V_b<jy6f&oLdGY5Pk&zeSF$hawAveO_<^5SIr{#S^2gElYnvYYLoB=Q
zQ;o=Ju<N4<3)}H`y1M#$mkR1CYzFCI1C$BM-Tcmbd$`NG(b5J?amI|!!b0TwOt?c|
z1wMsJLlAE@6!9^|wCCs3U0UBiq>MH&?k1UNbKiDvzIBD|q$!!O1`D9LnNCI$syIeQ
z&#Zd;8~%~ko_~9j4Ao2(DJ6i&q8yZXzLGUYhFNyS=W`vo&pP%*)5v8?csc?5p|Ih%
zr=}5bnQsINOc^wunzHJ?+H47)VK!&{=G{A#4B#Pa`y0^)<~qbU!b7?*_vB|0f+v=t
zo5x<jhwMlP3OHfvI}ni33kGK80yJ%AeBB0RNm~<IwR=;xZkCqaRi#S~ADCVvpfh!p
zh%Ag!yaO5r4#vKe^6lb%BkY29=0B|VLEb~_(7f7Bo+7~VLKUs@&_&*UW;11r&(~kS
zg%Tj??g-Mg*rN&on09NLki70UUOyGfbkb8&fXx639|1HKowJKpL*s9q5M>TNvxa{V
znJ!QdgBVgRPNU8+Mzp+eJ)l?D-0aqSHp#CXTdn|6MEa(i-J>Kwm1<cTc4}x2>W7Cj
zK|YE)lNbqd-&vudte&Y0?Yuof8K4pm@@}9S*XzZEi6T>#e2Tn?1L%~e)A;Eq6rQtV
zlP{);WEk<@Vc6hQ<~)Qje8|>V9|^tdT#PY_otnJ!!^RP3V^4_ej`!WS<jOyfR(kP)
zBo8(%nLW?nbQ1wh(8CwtSB5!hAcGVY<seXpKrI2CMiBzkU4h7JN;$D03&6ps<vo3m
z6&{nHZp?W*Q#cx<NU9cS1|#2Q`$L4j&TJsOCgto=b?HJp2dZWFiC0qLxj_H0boz?r
z!Re=R=aE>mx4)tK_)FQTZDRMcCE9P_o3_n<87gw$RQ&U!r!NAtANCFh6dHW^QPB}^
zRqWEM47{m!&d!2@B9f^Y=`S`omLctd-)nrMpj4^+Hc#%gb4iZO9Ei@CcSm}rc8Kb-
zUf`xLZ%!%=nY}gCqZ-r{IYu(Y>l+)l&ZQ8FeZyWY(J*VFyD~5!0N4?}Uh#7Ezc8}?
zcWQQEp<Tm0aMa8mu63y+dZ3OZfm=r(^rkDUdAl0vTB}aF9>+&$HDa7r^@yI2ZMu#0
z9)Nkv$VO8r#e+gM5foTmBIw#XQy9bmOS!^OO+mv2$gX~MRVOW4BtfLnVg6_N5lX61
zIKUu@x$k9M?Tke~R(WIlG9gxxR<mrIf=JC^-RWR6AsrIEvSS)iU`B(6VTStbpWl^-
zz_y8&RPgy!5CbF|C%P5uLKTD)VxwQ9T!#e2RD&Epa(|{OSs);cv_5lqPsz;}218bf
zmOh6_*LhCbg(`;S19Ej$jJ*PqR;;Lt4-W#D%QmU&zfO>467b%EZlgVrptyPkAVhsf
z5*r=kypkdCZlxj>zWM(>8a<9g5Z{6gE1{ahdwwF%h+^faq#<VS;T+R00y6S<XVC<Z
z6zbWs^sVDOb@q&bL4mf15I)7XFM+xd24fh8wzGxv^`gmy6PQ%vTQN=fD@t%I05On!
zk9Jl<_MJr<*6KfhOD+->C&dz6rz2@TuN_O@FUvs~C>QzzW=8wxPee5&HrSZq?1A~X
z?d?2vFAgOSjy3QJEcS2Y{C?P6G%gN-nU3}87c3Fg!|tg27npEHUHg~9Z*H7{Te^b-
z0`v~&IHEJ|;OL!4X_}XF0o4)sMvL*YuxD5V=xVvqUjfzBZf0InP;EuT7`#kOh(R?)
zYOToO-NFDN50zbOD(7Cqlb-li@(MoygPL?*tFoa9IrPxH_yx`3BcHh968D-o7#6MP
z9^fPIPQiQ=8Zu%H1eX(tf-$8dTjI^ahj{&jKK-D_4XQV;5oOTgggnR^suW3J*-qM}
zio#Qb5CSjMf$xIr+|O0#I&qb<iUJX4urU~pN0v|^$RUxoY*M~esY81+^=}G?hlNz5
zP)j0>i=_+ZA*astrQ43Jv1*0x|Bjw<T&LXIN}8}v+Pe3}&Dqr+J}OkWu!fPZ>vWm3
z3?qRt(VciJJ$it}Ks(5OtC4)lZLTk{g0@%NF4XMs{kViZ$WQMJK1G~flk%on0ef^|
z;Wf|s_cIJ4MUflDp)3fz&m=jr5A5h#Kz(LBw?<Rl!=8u?>ZpwB9y^lfeM)sFb>M82
z+r%}#E@lj_bk4GpK+a^4WQTssSoltupe{FK@<u0L_?P9wMd@;r>NwVygAlUP;NB%^
zet9Yu1S;Y@63E)3ui2iq>{Fdx_|b$I=4y?nByLo{hKBHblGYPY5@-(MH;wdlj%Ojj
zpc~0u`uKAaavx1AAt}hdx?usdlou=0{^vp@nto|UDfIJ~j%1~}`Hr=Bg(NNN7$M8S
z6#ir<ASVU;p*gTo1c>iz0k}+~)+q&--AM5GWXhyga#$6=<g`t6CYE_G<WoPBnU*#!
z&LD_Wc9;{?ZDlC<-Rze%hUT1w3#)2g?1H502;p0oza&QL?6eUT1<qV^09=t+ObpQ;
zm4;Fx_`10V?n>GLuVuZf784qXD8UcFl<yrI8$@~%q>1}#^L$l`2QwQ^i|~j9HMSRn
zTf*1ZwxeMqtIfy4BS+zg{1$l9VJ_jDh6UOJLGoB9>mMD}z~izjtI$05z!}PKr0f6U
zmhsZ&;8&$Wfz(XlArP_Ex%BbPR2Mxd(tO|qWz`>#MyUx4{(>;dv5yNS2x>Y71}HCP
zglZ-5HwhUpo0IG6)B^DJ7txVBkFe~&#c187(J<&~(p-P?@(cas<u6C3;5J*>f8*q5
zjQIZ3au#nr15Rb|{iDFOf>gCag_}0rkqz9%s(B>tJQLY{vG1lE@Cs$kpck=ngvvxI
zDAUB3^n*f(UZq!$m}FI50Z!xlrpsH#Sk#H))KZXoh_(1<y<`m}#mHv8@(TmU=OC%Z
zq5WgJSQZ3qy?f89X=0<7OKCntrI=<)>s0Xw*v-Eg;~+6bK0&-An1E(dr(226wr1DR
zi0xHvs44;Ebl`?(@lSxEQDJiqc6`3@2d^EGd}kwsJeHaq8aHy}MlT2+h22l(=b%tF
z8LOFj({{mp{}hK40pgRN)3juN`Nd^{S-XCw-@@+Pjdfk&dT7?hZrsxbgHk9Qb9(w(
zoBuBS(IL^j#IFR>G$GI&6}G&z8j$EPJDY(V&_wcgo6&r?uJvo%_cW&Kv5xxSR)Trb
zEs{NQ69F_>?yp$kaF*;5lOrY~PL}`I0t^HJ6()1^vrS73%ao3JZtIc<&$`6uv2p7U
z9$l}-4*j?JUCG?*d>dX=4<OV5&QirUJvT+7|GSQ2%Cn_31R{lA5i-hrP^hJt*vw&`
zl-OTI<zv#*(}BiH%#~^PT<Dh-6>-Ssv!S=KRI(L@MWx)E8Z_y*1<AWHM+~HB)5tHV
zI=+Vy8?04?(z1d-bC`7n;zSaWQ^YsEyiyymEf03!GWq<L42=iJ4B<<AU47<_)S;8~
z0`0*O=47Pe_dtRkDGBuE3vfUr^bHOTwP2KmEMxdYMT@KqGGnDS)cuK=H<R}ceNB{S
zNyZ&l`L35+ili0LhBWk5)2Z{Mx0ItAMqiIx3mZR?`NRRUvzb6uMaw`GS+H^*Q9K^(
z7QO9p3<!O=S#Qlfn9e88cos@3c6?c5?sQ?6Zz7w@QB*r=*n%YD3hlsk2@_<X`$04d
zL4Zg!P*J6_kc?;JkswHQB#O7s{{8!x$W6kdg(V^BTI6p2OV7fHPU#YBkN&h4MJu>&
z(TCIiCaXri0iE{_#Jc!4;N|jeJ=7vG`$1K%`_1_LkWndKLoy%sBA-fuVV!fEVutj#
z)>BCcScYK-EvtcYSN$3pv$N}%(8k8bgvwt==x08acouTmTNLU?OF(D~$eN;4*A+R$
zGo!Z~IWNGGp@~34z}vo1^eT)R3Ny|BqEV#L>DWc$YM1V;#=|unObEgIxT5?Qbjtwn
z{>!fRi{{5&-V%B#F)(Eg$|<p|E>hVanCH_s8S|OkbY*@pQ9O)R;~aJ2O|TmoytS3C
z2W7Ju)Fc0(o%LH#lrA{S%Fe?c^670H{F8KVPd=8G5<xrD8viTYZYFw#kHe1Rbw3He
zB~+6`m4j-S5^tuiB0t^TŒ$xe1P6Y$xwNfv;N?s)Jog^Lib#hFMN{282UoVPfz
zW;89vZ$#*pyT>@LPyP4|3|RJTNj+hYj*6{oy)L33kav2u@NAF3V_9`>gx${3B37L#
z<z?ymL8>Uvv;)&I+vpg+iFjoGAdWpjZNE7EL}%oV;wRg837YNDn*&uYM*9jEhU1M|
zEf3<mP%Dbtf6lG^S)-UW$>pe=+B=6@V|KFL#DL;AJv-a~AU3=)RjwBUp`>9W^mu+p
zJ-`<49rJaz7^Ak)08l~FR(t<=+IHLA?Mbo!^P!F;R57I^7R3R60_4Fk&ZSZ`*R((!
z8~Q_<!w=3=zlP5=5xI&{TnW!VEV~_}cZ)oNtB6C(x~i-#bjRvUUgkf9cU6@dC6+h%
z{cWvSzx(lvCJ90oVG$3=Q7!g4b!z%dcrT1%RF$c&!%VwtL=LMP<R0@OsIn%1J)}em
zsWPG|1yr41DJa3wAXH43om#BH5Js5ctU3l(RF!(O9ZKODNAh_ccb*OPz$5aqFaa>O
zaq^(8{%>cOo%rxDr8f1u>!gYfGC$QF3hpURMu`l+tzk8BM;+S^+kNl*-k8cD7O#w(
z6PK^1F`~gyv?6kn?H!_+dOIT=Z7$G-HhVem)&q1*<-exyhVZM^#dwC9M%L>_uR1jV
z1^`8)P4&s|k!&qdOa1TQsM|6KU(xfGttbxOxC7!qEOxC}0?~6y`kj?CPp4w@jmlCW
z7SaS6_>s!CqLeHhMOo}k8Q(T__e_I_qfKdu;@=XG#Ii!72n9FZ^4~@>w_A370=sUn
z0{V63T(cKa-_FBWc*YF9#Xc4ub*@<rFdNH$dWe>m&4pHl9;LUuzHZ+A18DIgY9><)
zHbvCNtMTLO@Itr~@RK3L5DwGMlzTrD#E1r}P87oyKxKF$!uv{C*z%QGBv4}w|GALQ
zt2BBCICkqtr+#e}tJ@#s46SsB8?4guW)BCXopCNd9&?pzY#6DSl^=gDG;A8T40N4W
z<h6fqt<7jhg**PJ8xqwem>1oM2Gvp`z+i5R75vqKhvxzq1}Nn?hMh9(ezI-VP!*ph
zl@W+^O2xy()JpF$Ub7^*jc;b#5Hu|3T5XuR>n;oDK5(}AV8+P|T?+Ue6k49I^Y1QL
zcTG+p4Qef4ijG~oL&Mw|>j=fX=!nClx&>K{P05(xlOG1llz$d#;rp59__C1z_N}0(
zNJPcCj+-!jD!G4+ue-o%-Kn9Z-y87xel2!fpV|9!&diI4R)=S10b!cH2B?U%17Sd2
z4<f)?oII)Rhk*oGCB(V4vN9(_Zam?7XG%&6n7WEP4IKNL03#HwKw9ijENrkzpcIdd
zMux@e9qPKBSMcDB*x0)eW%pE&YrW7)A9=6~owBWy^o+F2Sd14^w?KV29cT~c@BTPd
z$VzT{mhQ#!L1*`M;!&9H3t@}i9+q_~&l8tyYW{A~hdF);O%LhGh<mn>;$PokH*eTv
zb^z&F;=me6N4g!6Jd_Kf%&znoDqQ7cz6(<Sp@p{-=DM0&N|VNEaE}Z|hPKDh3W7@q
z%=ODL;C)C;yp?#aeREigDi4UZi3pCH%AJO1l4VdxtXeP(bX|4A{n`gdQ!DAR92W5(
z`L4^rJ}7sHDnK_Ir3BErTlA1|xt0hXvgvMiGLS+jmN`GAu~aVvZq?Dg4N`8N2L}Px
z_>3DAc#9cUN`#92y+SvK+9Ok2l|_@GcyNu_?|JHMO1}1HPMbCDriwE8E}E$Ztv@#+
z>R<&{#uKZj=?EC11~nW_-l?7x3V9z+sp4n$i4l(8w0zCt24h6;u<t<lqSP`?D4~c>
zmC*UXqXD^hM+t%~$;v%&NIorByod{!pr+dJh)oFD0m(JEn11&=W>mV|uU6($1=<Lw
z^CXez<fNqd+6Vmj#Qfn;*?VK}m3^;?KRETdWc_X`*p2R@{={qqv3fxSkrD`aio#F)
z%qFXJeO*O#!kR5X!!oMrR|trj5=bTA2n}`RH1A^NIBGO?9BgOBCQ0376ldAAolUZw
zr?4p()VT5T{jG0{Tkpsi8LDLC<4%KB+($=!hDE<H1+Qp?XYsH1>KKUN^|4$G{V+09
zq#)`6t}85oI7k!%pJaWs+``tc*w;W)90Ve>`MPlym^S~b`O02g$;R-Cd-0D@UOc!?
z(J=6fvYjcWkf+<jo78BNH1fcd584T<%lN@VRZ?7IJXQnftg>p`jWEKFsp?mGwOL`m
z@rOd}7lSk8@HLh<xs~GMLLQ)h)B#?RHdoVhZdY^sHs`+_t2Dcrw1TMeTjnaaxOa-D
z-aMx4{^1~!k4lOsgh;5!wPl}#$kUbS7DIZUZNx4rLTBh1IS3isX_&i&=U$K?7DYFQ
zf)sZ6V$EPyVw1o5bQM)q*T{l_Gs|f0v^i5G8ql2qoh+V(#$0s_*iBWd4azJ9Qg@AL
zwzx!pUnq`2+9R3BsrZoZ>i8vRcriC;L_JQlayQdYQKg$4!<yW9!V7WLFc9CC{6SAh
z^<I5x%+!S<2QXD7)IM+)O8X`m{*voa8n^hWR?SFg3ec1yt;8~=Jbo<-`{(m_BamT~
zGAR7LoLN|*`ByZXFzr3tcO(-WU{74X;CDWpwHRIfW<d(TI*(e!y7=d%ElMAt2tt0R
z6jW9DD@t&&SQEnoD1*TCS;Dnu!Q(ayW8~M>Ofl?j_$Y)qE?|Klx=;X4M8gEB0;V8C
znW5sn?RRg4qTQEx5WQH*YhY*%xEZqzWVigSyL(z+94vMO)w|f6g3ipmJgG8Zp~+zw
zOm8+kjq^s;pJS#$+yL+k++ls--2%Sy$rkV5hccsy1TGDsZ!~%S@)|WYHCkmlyvVRw
z&WtDiQU=?%tO^uSSsSOuJEoG%eMIE?)DC?la13gqpW?axA28@4?s)x39Kv2A%DSW7
zh(e}<a3~fW{$#>*^E+aq)gYsY%`FfHQ6DDR7&{(XOKm6@@2ySuq6U&0Ge9dOQFYg(
zjZ{x$t!+;@zk`TOVA0UXFY+;7n{qSjSH6Zb58aI-+L)aec@q+sCHKRTX^1AxlCEdM
zT6@wJOb&gPX&1>MbUkK~*L;7u3VyHoieydOE2#FOZoraw|5!-*fX|pQR6v*={&qCX
z98%|joK0Kk!ToRmeDtXX>4S6fI}qzi-$#Spj`0>YR`U~2dlBY}q=D(@soV2zGj{)>
zTzJ4Hh0$Eb5F<r0MQGK|^XXHlw76FvoZP1SAzVb;vI*dY1wrdJwtehDwaHZ4dxqy(
z%x*wP2%*lYe!DL5!BjOpD{DO=p_rkkZdZj(vtlwG!cTlN;5```0Y{)S5jVayGlYO?
zVc%6<OjSReC2BgXKmvqn@D8y8lnWRt--Kv6IA=KB7hErJ06Qh%ySe~Qp;n;Cvp=ca
z(dfqai($e|g!GM#b&5=D3wmg{{JA0O^g($WB`*&x1e2Jn#jwh><}<?ok`l@=C=lcE
z`}_igRr_E032X1^0HrD)`Stu;N~Dlw5h8Fk5#TXaHaonvmdpv?N-Vh#hWX>S9+8`C
zX#g?2g+2-?Jg;L^0uC`rNy$f}^f^3}uLBD#Kl4Yr1`K|z_!5^rFviZ~!DAYkkAZ$k
z)5uO$b~??a)_*JBn8lN*rP2j<g@$wVAxr)J$hL);q!ChtK&D%3t64x7B!9*d`t)W(
z(9IEhMNts@1l!UqYk$Fnt=b2}pg+F$X%{|LB9bNBVwI(lm^f-veXFFG3G72zj|rIM
z!RW9my`nFLU%c0pFW^kjLJ$Hm`Fi9irnDU9VF4G-iTL=G?cOH{lsW68*-BC2GEh~S
z$l7>GW$&xeZ)ZH&?Rc3rS#2vgaxV>fEmt<)=ACu=Fid7(a*WOVRo|LZKhJ8|gRHN2
z2NaeDpC-)5Q41dW@T&aDt192V;~DXz?s}qm=kZm2OSuY^0z$YNa2u?D$zPxe?By;Y
zkd!_0ra54yq6h1R;Am@~mAl{&Hns$ZFni~c`jFjcng>c$gn|9#T$DiV!Atck?{I%$
zPqhVkZH^L==j6C%UN|_9iA(q59X{RJ*-@q?@(Vif&9<XB5-L%{lOMuY#D}a)i$Gb%
zH#?IU@7Gd&;10w%32EIh&j6ulQ>93OlExvY1__?5g=o$_)8}T)nhqI5UY*8>TFac5
zp2oZ;(uQ(%nRkCzE~-oh8N!vYV>G(@Om!iQhPuiP^nv_!&CNSc&TG~i40~<qhDy1u
z9O*WRm<g@YSP6x!X%VwuG+PXLvPax0==CL!XI-c^5sYY55hfK`W*%Pj2-rw|eua1P
zfjk8RPKzurd$CpzCjo`m(j3!iBcOB|V7TQWOi2)+V@sqFuWCRXpAZr`yiF{gPlysL
z)r>WRB;DIMFMRwgbm{WqoW7^w(A|-)P@TQT;980Mw9@p=J^>;;gz3A(!Lbi*h`}7^
z4eed$<aW_Xnf!e3O<C#`j*BczvRXJ`5T+G)nr@4{3cJmUKmLp*!mDPs=NjCDN&S7{
ztIy7?Q<#8rnI_7b=|(>g8>*bX)DsCxph3O%{fGG&U<?A0miG2;V)PT$Wej&G{7R+_
z`gMFU4|Mh4X$1d!YKn7)`<ig*C5mV(0fc3I1v0Xz@xY)g1XjhptutEEUy<^D!<85U
zX%FTM8f~j5`x^mfg$VY9J~}ZMsPW(8=t}Mg*s|GYSOMy#h>f*8m#!Stu>%V`aag<+
zUTGy?gds#jJ``y4r7iLk{elq%C`a(Q!$GEs#~!UX`JhZiR{vd%*QZk8%#|2hZ{)$|
zqn6w6TOM^T{i>U>k68I3>2!X$%%M!mgoaSV5ES%%KhHjYev5ntU;|z)doR9?N1~{r
zqzcG$uFoMtqd__E$Ye9fu=LsPHXI@f3yEcC^(r7YsF`ME%{&)8c!4~F=IO;UJiPw<
zn*Y&XQFJteq?a~!8jIQlJ5vJ_8UYs#gJen>a+q2y51xfb@{MHgmW%o%=dNHA=f0bP
zu7kXubZ`z+o1$O;h`$0i0gAfzyIySmgB&dLZTQc-f((76FV^*{gAT7vW!@^`K{l8=
z=j(sIGgoalqXT&0y&Pbzo50s?IH?VPI8a5`GZh@=ZEkM_j>H=sG|%<*HB|RO5sDGP
z{$^SL5w8<8M||W8_{P}Hc$Nk&3XUEyHMFCV2hl;bSPrA&%Ld;%L+YnMp=(_6s(Q-z
z{ABK(pnu;7!R12)o`mhD11AZj*Y3}1oRsc{6xGIz>SkiXRd1z#>AVRPtqzi&=)|hP
zLVZev1*O)t^y1M2Uz3Pnh7j7exeao`r0p6O1eJNjSHz<rS0ntb*J6?`tKIc14#VCp
zS;a!5u5*qVE@BtUZL=-LH}F=QbGE%j5=U45ekPzQWq09-5*~_W`su3Fko#E)lyU$T
z^H5c}&dFE|4upIFD#Y>#h5(yx<qUVVOd8l0R4xA<zawQqXv}n7%Z&W97+U9xudZ_h
zzeI<=iQJ|M<a-H$3inb&AKl5~V<eoQAfgKD4J*f5%w*IXlp(QBYj3DSK>hYe)kP6D
zO8c4|4<8Nt7R!yO?|A?s#=)}3ReUm2;md5p`rjORZ2M178SCr>LQRW$&rO>|-bH7}
z*<ZeG?(s}`S}fA8v@^{MGM<Rq$Q|zGAabiRQxv{p*f-0s3x)<`$8-B9k1Yq?&@d2-
z1eop|$+M<#3p@~VF=2fycD;hWnwXX=wB@b9qLHyN2ucqza~MvvF`(<oaAsvw7(tg6
z{23ik#-eHsw0WmmpAUP&2osSOKt=#WBU+qA*$#;b_f?T?ih0HU6rm&Ac{4*l06oM?
z7yYq}!5A5aM;lMdf<0(n_Ea6iJh}Sd3xpFQ(X{5p<x<h+BS%17AYc8i#}EV*EQ?S)
zaXODTn{;7j(_-u*;cr=5-9mYq*ETn(!NP4HNYdqd87(!)z`CGiw3g_PR3ncM1D=<C
z2QY0{Kmo75T8Pp0J4?Xczib0+=r3QM3KuL@eb|4`LFf>jFZbNdmz0~Z^=o7xBw!%B
zNe$#+%>b)=ZyYlaA_A3u>q@jZNTqyQgczs-mJh>E=gD8=W}5Td$?cm2C7hc4exHEl
z=f{tHbpdy)-Fq#o)kSq;9>N0yVxc6A3?k%K9HWA0V#wBWHoWl)lQ<%E|87@aO`%IB
zzV6R_T^dhh_50pci#^lK`tFg`ElRcK5CHki*IYC0lMIHUlm)WRmhDmM>O7UPBDY`m
zy6UFHX($$s@oH%&Be6IqwRLSjo5|+AwRU#r7hm50ag-WA)Sudxsbd(TAhPI*DV4De
zf&Ce~{0g#yT8#IJvNu!sCnI6Yz<LAXwMVZ%QwD7KXJ$71feCZC-Ej5PY|-PbV=vzE
zsWSjBAb|e{o@)CVtQIF6jSCbV*L>D;T=qu$dOA*gd9q>qBp8P#zzv<b62r}CfV8RY
z;9lE7>WGh})`xQh6pmYa1GvC~)>tVR)m;6Jx$<yyJjgAS1V+2;zg-WE|1?ex4G-T9
z(cr#~ldR)B$gM7+d7YO)!s!B3b=sV_B0>Hy(4;SyR1?#@TKq%G$@(Eg4Je0Q@?dZI
z3*vv#m`_BOk^hKinPNZ!0+E}W4pgIJaz%t8Os`uHivlGCC@8@T2x5Srvep3XM1`rN
zP+mp3>Qh#Um{wL6v>kZ9Jzo4UvkxqAG15KNMizC4<=EJkY-Br^8xZ&`=(hgOgONbk
zXFPFQj(hj+Mac)jsz97Zy02f;9rV{g0^&!HAJ6=J^bC15$W*<fRia@vPL7VVx-}c<
zK*yU|^6Z`>AIVooRNCfOSp`&qD4^vqM}YDA^tW%QaqH>1x`ta<hp@x^$lRY_b7Yf^
z=87B1xvzDn2oNFUk{<HQKX>IqsyIOO*&Pu){f<SH2fR*NjpZXFBZA%Ff9Lvf#h^7A
z-@FufiM?7_l-RL#b{j{hbE1=`gKpn8YgR<E@(0YmGa`@@T@B=0NJtQI0ExWbbx~z$
z0yJpg_!XWH9qC3FSVi(vq(xuDFUrXtQ6qqaxR6u9SI;lYw4a)=QxgeR?37-})xTJJ
zEI$)$WSdJOaoq3J@Q-N$Kk@+BZ$moG3N?=<fUV+Miz<B7wu+jmgkIb3$@dkqbyh;=
z%%zmL_spQT05tiBm0C1{Kz8`I)t@ctV3mB4?7l(P@G`rh^`u7G36o>__7ISbwcxxg
z5WdHc?}RLkJ$rHizEYu6BKiBPY~F@P)*qZ*ZvnV6@l2hZ4uL}GX_?MB4uXO6?cuyv
z;7&Y4h~IeoUy3?||362Fy14-GMc?;ajjQlk;{r1GtK+lDHoxD4IJ+~D7uDO&fT2?B
zHlV{jdenM8hg-@oT!2iTU%+i`(zpRUS68QFPcAg!a<vBZO(&5wWPe)_^)vKCftvWn
zQLl&tSd`?84mC8~<5})pkJ6L`V`$rF3a`^10qH3_wfu;_p59m2mML3#4Hv6D-<Mkj
z@i*%G<L|(Q0JV;~XDF(bH@C(LW$BS~KaV}%kmd&lbX^Fjun<ppZde!zE&y<;x5eZO
zQu`AjB$pil1ySdqwrpi>fkJbNii*IW89CZ2*eowk%dn9CoD`k8RTHA|V_=nFYztcr
zytwsm0EETkU}81;CSk|&GLyamceh#2r0@z9g6P~~tE`~i6^y8}<K^ZyJVRLAh%;5;
zU`;KhC4!GmW5ZB+1zGQB|Gq$rsf9C0_}J~mV7@tWZ7LT|+4Au4bUV(*)K|TQ7C4Oo
zg_572pDp{xbQvg6Wj`cax+Y^N-VsL0*QCT2EQe1C6f95{7OK!*D*0hPzzVInbnkbh
zgQFF`L1^+n{T!uOg@K5LIVak`|C1^>xL21K{?6_2h0rp0ezA(K0WmnNL4Ux5T^zog
zkuBz0Jo@@miz)|yG$H9z&;Y`Og;fbi-kEg?!@ErRJ_Q@T>DkfG$AI9)$a`!v<4p(}
zwt>}=-!s8(-d<j31$6VoQojOm;C<YQMAs9C`p;+&1Y%M^LEd_Gv47v!^J?|k<!buE
zKT9mi^Y^F%2yS{@9F?iI0o*sf2drHnX|w~UO9#R#9P=4i_WWrf@hqnRQgMPa@V)V#
znNb7L+-Ic!8JBTi27nez7n_SE@bJ|EbEz}1fIXi-Od3s({#*Uzyc)<bcm0nZ`)hJ0
zifjaRm=ag?l?{M`_*O3a+p@zqiO*<`O>NTTp&IeV*8?@D{sK?+-a?!Ic|6!<0Yf&6
zQf~8@t5KU!bjrZm)^TI_HN(}lg4PnwzKRg11;p+`o!xyAhs9<$sc`c*)eo+xno<^M
zz*q<=5sJXs7D*dork`X+(}3$OvZZ{z?Cf^G1*cWz#jJb+8h2S0M`!11;|h>ASiXJg
z;|IbQbQ}qrAF*SnY<0AGVBI`kLc0xCBT@XuX{pcHN^lqH!Tqv{iHZENVWRogGotCU
z)orDWley!=mnpo!=L(+Qh~*a$X%1o4v8Q@^k4W*ozecbXw;)nAA1+woDYJA}no$Ud
zS{iuv0Ic@ozvJEPccZ$)Zazrr6pUoap;cUL<RiE5Yc;%|aR)&s<?~mE1i7cmjs<d8
z5br@hMt(1<&gL+dt@mSx!m>m%d%Qsaw~Uri#FFFn@_DG{t%hF|`cJE!ovw9`2>*jv
zq<^5h2k<)fUoeL|JEa9ysxFh#$PZ7P&1}~69;E|Bd_%Dy6B@TTbTwKSy5`qUZK!?|
z0%gOXq+=Di@q}L1eGmDPi&JL1J!#!{9>!WJInjE4*`?lfFRx>LMeI2QI0-;fTfcQh
ziNHDdu698N7~n4fvwHo)L9{!h{a~f%zV{A)<iTU$(b*-K2b<YY;N-hAb+kEF*!C-!
z_eb5uafSZ{m_AwO6<Fa+r`djIo4~$x50@(u`sANkEl8B`KgSZEOaZy2>KiX`bd5bR
z;#~CKO!nK10M9A=)#KJ%?4W9|;Ja(}h-!j4PZ&F|{iO+pxYeSdQPbFngf<Ah0w|UU
zmNc!TAm>)_6%K7BkK^yf9`nF%p!%t{m>3UisR5cC?EmY37AuA}hHPD_jsZ4?^)*3*
zE@m_)9Rgp?bqMjw!5kLvtt-V#9FJ?3Z=am|{y4Mw4m?sVt)P4o6>Tto)x@PyolL`q
z5BCY1@W+SJhB)2-)IrRK-EnKOtQVZJe+!$bc2j(ZEL@vX(_@cb7d8edCvqM?d)GG;
z5?$nxsa6x`SY(^T=*XIAP6mv;{e)LVMFr<+x=rfclJRZ@)E<taVq>*w1SN%R>X3k8
z)%6Fg{8RgXW_C|RnyUt6p#SCJ)O`Ht07Otjs^WBR=d(`~P6|ElLzle13k|8TG2>Z>
zfr-Q9qPTXE*6^eL7CrRpYc&@YYUi*}_LW>}y=ylKnO?3^dfV`eit2OUKELqO;x5ju
zw&5Y^rUBFg9znLZ3||z-VBL4@(-BNDHl}yTjba#IBoo^8L{0^N*c%@xc85SB*S@na
zr+)_FPnWw_a?qA_;R>7}_1m}j=|i0N7Xs|S&1OwrZBziJQK7_vJCCBr&)<QA#18j+
za98d}5lVn<?r)qz8`x$XtEaRmWcqJy_dUpNcG<xB4Z7nFlz~v7<!ynLHK%xF!KQ7L
ze*&u8Q6lXb#d8uuU=;QQLUHTFItzVk^5g00H0x$v1Kmm2iJQYTnomc?eUm2X(XnX@
ze!(NUUnq)mmkxGx#Qt9kP~}Y!z}1#c1_w&t?1^nx>^}v6g>H~cPlccfIXH|~O~Wm`
z;)lu8gobEoMS1Z_`6<X{O;Mj{1L4D-bUl`IN+VHq(cz{l>|dZ(N-8TUuHwAE>xV6?
z0kzWm@6WT%ge0@K`_EAnuoFR1OYyXom(^22)zzTTTgk3We+ptnNs>Yh-k7@8zll-$
zQDf7E{ThU*09%!MQgp0rD1~;(1X!-fGqW0H%Cvn5)}I-7m4vx4f0UF_9cvCrw=UAM
zenwAjjSqX1D?n%@4bd@HK=f1&2=_SJhmj;FKOL*dJj-~dq5_-^zwtaxAy7_M2)NYV
zB1_&|-JMWmS=1@jp{XWr_{e#a*Hn$073z5N$)L5%ft%L%R~UIOP`*Q?Z?&7;>WR5e
z9025o?k(F!cO=JO3qeeQdaz~<ccl>Akoefz>bL1Py?cVaw-4OpC6ZY!?YL_|-g!~$
z(8rtV4JPBhl?Sqj(**>UfOW`S)LLWteF=|`TAUAgdFu@x);e2sOY!sPh;0CfJfc@f
zRoK(7aM(pR2f>o}xA*CXDBbzTO|7kao($%;tFltlWm{xoAi5q@=toX1DUbkI8bFbo
z80?JfBy8vk$Lb-aV<ESp$0gO>qch-R{}{+SX`aUQ>AfRS43lPpzov7B3jr0P9x}tX
zLn7;LqOHD8&^I(cuyRIP@be@hK`L7E&`eANUYFynbuA#|&CUwl9Fs1{%=fkXG?&E9
zW~PYG61(B~cwe!{kPL(`4vX)D6Trsirp)f9t2D+jj*$Y&*~2}MmYv-eGM84MU!-*x
z+BYqDd)-UyX<R$(>}{hVvu4F7ebtXm*R|K~5C-br@$*mDe{aM`-swme<Bk-x()Jd%
z9OO|bvs9wv=U9qQq=`nL7uhb;Os30<bmH^K6RdgLLSnIZZ#n+^>xf<D{qo26_(`q7
zF76a{5b?nw96%ZygOrb+zE+l`x0{*SQk7D4rSiB1?gNDYqYN$1V=p7tPVMccvv2m#
zC`#sSjV2YSG!mOk?ll<VNK>E#<D>atShH0hv*O{sGsG7OXm8KUb1#wVe=_f&#-TZ&
z%vp0D2K`vuLfg(FY)$;<dF%c;?|$ttpz!`G*KHi3+i*VD%(8J{!+V;xjurgOCx~0J
zH+O_~;ifQVGQf?_h-Oig4&bkLN$YB-`7FYwg*;`t@1#BToclJ8@1Xvr&UU8NZ;6J(
zg8Hc$4Jq8ksNT-I;?{;T5FyEct25OLOv7JPiuA{Vym!D8`ZBKsfyOf;;12A;iR^ts
zyJ^x-o>e=fN#m~+#nuC)?0i+Jj?@!6iUbxJ=u{HedIGhWus_~JSDqLm5YtiT=Ge&x
z*7yIx=&ZRl0crK60Pjlsb_7UE1fsBUoA?*e4&X9{Ta(+dG!r6Jo07Ocr|>^!z%7A7
z%rYq&xzC#o@u}XP%#d-|6!x<yxJN4Q=2kQe8BdKHbuP-+e!mzmlsew<zue%x9K=Pa
zfiWC_BV7RFUz_i_h4a3-F&gY?xPCSom+64`;QATsqGI_^MOV2GA=0WcL1j&y%7)sn
z({uoSW1{%5=DCT9uHRoYY~ptL-TgfFVx5vTCr<@6w?FSocgDMlG_aj+TKu0AcaX>;
z9dBODpswx@*SX~SfJvcUpi$*Q%V~^1@kP<{Gofo_6~5I;g63~U`zJtEy02w0gamxV
z2&_>+Sn>>P(^SR+D|4*)k$`f~yF;zbpLq}V#?8nbI4sUxyb$k5fhnzip7q1Whz-wI
zXN3@HWM6Pft{?(BP=yJJ$$kCMn9{1dG=I+KIG2Jz=jBaH+hmPe%d(4qP3#rrX_kZb
zokBxEd;?Lh$0WDPqQ3%PZQ~VjL&l*U;30sF3&5TOYJTre3X{jd!NDy@yED;u52<<_
zkN!cnO-=9NtqYKP#P)uaNC(^6DVxeK{PjE&))Pm~V;54$7g_yCRapo-sbZV^*Y8?2
z_6qZ_Yrbh3_s-lG^F8}ryL$wld7w$s&GJ|dEAd^Tcb`3&sPH>R8h?o1bp_U;r!$}n
zyKlUkzUSDDe`%pc*ORsJ#c>v7;;^IArm9L=l(e#Bgs~;N#j?hpFFL<_Y(<2qnFvC2
zz;tTYEq!SHwQp$>5+^Rn$sZUf)zTAY{C)0gG&wOV;@V$qGFP|T&>$-Obf*feRfMFB
zCV9UR72Cf!M`+qjky$<|umT_EPh*?pg0!yMfN(HR_?R`KwzAU9MSQcJOr`00=A&iB
z7{tS94s&D9-2#CYC)TVd4i5Hv-S=lKHr<*)jP|RDLKP0%;W!LsH&4#7tb)%%c6Rmx
zSsxC*NWb8NQXf8aL@eis%aK^0NBN+fnlbH6t2r@qUk^Rw^~S#msfNIE7n>WJdBtKa
z^+OANimB*(Bkc%(-klxp-g)G9(ph0OebQb7TLw2c9XV0aURVvC9t_IJgS^%&M%g0+
zGkpH#vMl;;WzqIV9=mm!(XSNtp?udl@Mh88`5N5-hzu*>d3<TX8oh#bv#ariTdX-X
zfbV8D0<^=%`Z}-y;NBdZd8Xz9biR9_zAm@R#u;F6o*lr86bD?KXL|rF#^t|s@n_-c
zAO_%@07(FlLL=%+x%Oi~zqflYj~$0j^0w<~eg#g$WVrR<bGjaoT{O`{K}0a&pvEyF
zq&n5hq2DX2OJzXf4bDXkN#Q{s;#Uff(}za6y(V43N-|B;b#BtS7MO(UZRCcd1NgJj
z({CccWovsQSdjx{i-FpY%oRZ-^AP|;J?B4k$V|H4LTMb~%g;>E;c3g`IS9^_*t0-$
zfE#Y5WQ~^<V1>goSo(-s-xLz9_4B2>&jRT7XUEk-!A?U*5lL^;N$M0pp{=XyzWq#l
zg|E|}VNZ$ASlso6$7&s5q;cI<F}{_l*7L_VCqm@DVr=K-$D1{j2n$2k15?Nax?3M}
zel;bYupm;kGn*~mg*ob4Wk+G;DvR^C>H<Tu6@J`{nY-=**-2a?BKO!1cHfJ-BI<li
zKoluI!{;?x_t==`QL}w#ySJovgIpL!4oT-U968vVvga_rjMTS{!pOy8IQ__EA_vKd
zm<#{zoesMfi0qjTgg@-!G%tObSgWNexp`QZ;Nhu3?iuiI?NfiEHm^_MKQh{i9<Xrh
zS#fmzn|HlA8<0j!8XM~#cNqm3l(~g3H0;AbzYa)!0RA)*ihvG#@+6<X$O?~iryn^2
zGcAQY4GRH&O2w=VZO%l^`x5_sW^rCDlgl-e%fXR<k*PGtII|Y;Z-L;Jo?X`m8|y>q
zIK$Mx7%=a{4fXzOdCw}Y8mFXa$N@U>a_Pp^uNy$mk#*XROP<HYAmiFyTnzGMQ`>pd
z!fED0YMG|3ot-ak0)tDt1+5M}#199<skj1v)#d)xWz6Nz7(dX;kU-8ZF0(H;v-fs)
zTe|W5<N65yc|WBIkv~pVtnPdHVmveTWdSBltuV=gmj3ltd)9_$)}5Y8+AVw1mF_Wn
zd&#nSK{%QtDb2xKu+zs<N2tw9=x)m^d<L8^r@LDo#0JIm7}#K`vEw2e_oBK5Ctvie
z9L&!fH_d@`hOD?L^b<I`uTs$c(PIwmV3~f!V$n^)K+k8XHvJF!Wi+U*%JK}$J87br
zc~ynXi&i9>8#nVwCdK;iM2i1;i>W=oX#G?@5xeOKP=ZO{xtLn(eVckty?GZE@<yZm
zpO3#FREd}42&PtUd`s2ivsx`fYmM)Wm#)&+WiI-JK5;kPLSN;undb`)B_Wrqh$~X5
zft@QkvjlMQ#UHkzy1hx580hJ5$=8=J?cx3j=a;eXeTA5snreBSR-G#KBs|$w<hz4|
zVW={lg%hp!IFB+ws{H|>g4KX*-`dL1bFj3ugoE~h6m{H8?D*sq*Sdmn3XWvxzw+1*
z`2RqXFLus;e}CVm%zqmsyL*BkA3%+~iRxLw4MR?+CtGzYCMygZaxv30GlE0loj$1_
zn)3t0x~n??>(&OwELZ)&NxHsnS*iCAIQQSa!;L?VaFo#s_dydC0lcfr#q-M`;v11$
zn#eDXw$lUjJ^bOm-|g(<R|oSjsBS;H5Hrv?ET(>MoU#>*b`E!IO|6~jg$HDl`h@59
z;;d961AYG40Qn3m?34VI+W5kKKzAn!>TnU;{c}FHiE+*XWH2IcEJo=zKLP$=wbj-y
z`5EzOO?K+}eMfN(YOpL}gbr?fo8kGapz#~@-YiP1CwA4rZ)_XOy*IyMQ^(-svT*dh
z;8U3j2|5D-?Ti@ZH4QtSp*v(tS~t~gmzEX91?_5?vg3}etuiM$;|@KKwifPz{Xc%V
zGCqr{<`epyGBPs`Y+u|_JL=IWVZdv3Y3V?e;o0Wv@~@={@@WO;9kvePRT(i6kdHcg
z3qO8%?CVMj%*P&haAOBIt+M2vEi_7>J=7C=GZG12$yGHqzj53#+^F<w8(0Mv7fpSA
zFL2)Tt7YEHWiZxyX6&5}ItSdJy4nOEB;Zyb#*IXQX}D*|@@Ud;ck&W9Mg0=q?m7pm
zD*sE|`;SXE$B`_L^6p;%9~t1l;6Nf*b2vmKnD`61n@3)NL!igxV!{NF&=#7!|JZ{O
zEsh*J1RgTOb>fz>*jLeo!;paI_4dHSsQ~%q-S)>D_wn|c4?O}=G%dd8ZcTHKWVr!i
zfz{r*gnux-s*L}eV7FxvU-Sw{MFHITu^&kmK-v$)Nt!CrVJm-!GsTICi9u0miO2Ui
z71cbN{rJtiPY3D3c{ploZ>}k!Z?$7p>h)VZ4R+T4DkJ{eBoM_hA?RBnRaM(SPfR6W
z3IidccWoe<*QE7d>oi4uT^$7lMMkGD-*Uq9gJq`%!&b+YZX1y?461X9FPw?PBCVkM
z8t*_ANa-lj0{dpLDPJB=Ds)v+3NfG*TbE!OZ@lc7DA9Fppkwko?0b-q{qI9v+vMx}
zsqk*a00?wos?CSB@0O6ct@#nIW_@;nZe{?ZoT49RJ6``@FQ!($Va)ZsRr~P4-(TzA
z|2PGF&Nd6{6|%n!K_CG0z{lVaF%ml9`%Tj2gl=u(x1sFtAFGXCFVmZo%SoAH+Vwg`
zTFW9jah#D{11H5rmB2#Q>^~4qTL?0Frl+SHh5lV?d(`RwCjNDhe{xW9xmA&M5C{Ne
zFJCr4e|hWgA2cYh>;a=`J>!9rlSH{8hXtn3HUi^RFc_6}KT3Yc(ivoULpx}^WlE=Q
z%-?cZ+7Pl0+qsokEvdz?0>W<u+oJEn!t``_?rWBi*Ld0(b;Xpg2Irel2s<`<1qugm
z?Sp<aMcS*e6t>8O<)1%+o%#>T>jJ=y00$a-(X#yBBt=bqd;FlggN1|o%7o5;jmyLn
z8-Cy*A|WF3)j+|$z7S0cas#uTu%PqnZsNOC_{SC$`F?uB`&89WD)ST5SfGXbzOCfP
zQc#^J2>!sh<f%I`I4e7rldwXxN-~~=+bOIb4v>+(S;924MOI>9gz6};50W^JMWube
z`^)3ej(4PmJ|T3JaC3#5Bp<>U27we?Aznb(`wnB*Vyy#49@saQ+mN|CU#<hps*dZ3
zi0FERcKWT>SJJT`$-cc#hyyRj|L&!?2Xm>MUmeYSn)`kKT|S%biDVZ<96Y4Y2|GxM
zLZwf&T~D%b9Ht!owB05G=AuDCK}`v}ke;xcl!#fOo>c8|iw-I!Y<8qd|5@oudq(F2
zOL`6DiU`n^T2}p0?n!KUF5&a{<JhJa!;W!d+wRkx(`tU2$&i-L#9D}HlcAL7%1=|i
z9}5e~?sbN8iy17ARswFhAIJB_kU4e=#`b7%Ejf?9N5K3HhQ7<)MJ44I(bB4NJcKjV
zvtb3;uc2Xt5b18AfYsYV8@%IbnC(W&c0DU$hVwosz%KZbqQ6Q{{B}7zks{`S1|#sq
z+L@HsHLDGB@bCiQdA+2?<6n;+O<&V~OXH=ZkP9J1K=D2o+$MXdWBw-3SJr0t95|-B
z$pM{lAtz~(j~sA#UBraRIvNaz<*F=l$4#^P1E>Skr7yb5q;3nr_b;CFGK1I35V-Nr
zAxvqh4$n*;z(M2$^-|26Cw|YmQz}PWcUMX$tgE4t9Ba03>nr_j$~dsyBR-CILl!t!
z4nW0k8&gklYW$P1R~W)q(=1XE##2&kNr|${T3ERuRCl`aB&~47RwaH_mC%R!sSJ!J
zJ!Hf4%Zr2AiZ*w5ce2p)s1q|D(pUFL-eSi;F9n@{LDkPlE)B>dJzZQ_>fcnntFf5j
zBsVHUn)@Ft@!%s7VJ=R{FF~zHs>iA?kXa`icd#k;3t7WMj>BswyG*aXIr2q6<VeA&
zAn_S#3z7H%N^RnEHxJpgIB#8TbuT^h`^jQXN{FX<-1~wtVu<DzB@^^*eP*k3D{!mW
zkxTtxu!BDxsOopK;8uXBtFtD3Y)pH`xHV=^K`N@9^30RToG~TnEwhu{*!IK?z}8li
zeDgx+?(Y6RFn;oRDh4oi)b;~u)|0FThdt1@ZXZXwcUEza9Nmoyv71p)Pyo07lE)3o
zIGgtnf=`d8080Yc5%*gPS6D=%L7diFuh%=W<i%fqRqy_kGRo4C(i@PVr^UT^SMZH=
zESn$66OE8gNAiyxeda^=Am(0<j<7UR4*vSYIV}2E^ZERVW17_SF>CLC)01?~8j;nG
zzfA~%dMVmp+~Gn`u9rd5SJ73jP&xq8XD*|T2SIX}r#~J!6wKq281a_HK172@`>}nr
zS|I@hq=HqIVzI1(j<NjfBEz&M5$Toh7^E%6{m*osBi{&Qv0F?_8#mUEzRt%KbLQZ&
z!sKc?9m-v$!J-%b?wyK~JjX;@<VDv}*6m-nnIMWBk|Qhk(#NjOpQxoxTP=s=uwG*i
zhESNp;VMOP+bu0EfRd~!dhd-|tpQN@U1CgU^{Tq<)LZk5s^~Ip*b7BoukOD7*w%LC
zM+QI(04D}>>}fNyyq#zcLvwKz>RsDn787y0PiTu^v06r{3L~r1I(>q*ZPpAL42?k=
z!!dFbd~&CzMDNlwc2ZJ6-VYXgUl`Fy$Ftx{J@@M|@4&bM2&H1`AP_u_JT2>k`6?8r
z>KLqmS?t57TZ{pOSgt+7Y@^ValRtlef_LQ4A}<uIvY(`>Jtufq+XBhN4-@)INqxhN
zpJ>u`?#~+vWqI)GE=nNz`-jk3*ed*opq<1`Z_5Y`_v#;ldGk?x1OZcj|J0Mhy9hth
zvc93-v@JeWna}Qs%MeEvv4;zdeMT<n`O?!;-OF_eSAW%uQoL{h0t=PO0lkM=_U}Zp
z9DjLv8X(?fW@ZKj5gbuD8R^>0S=XXrH||Rb^+A(x?WtFbUs92gRho4f2b1QA-V_|F
zqEvQ#lP!3I@@d>`tC6}jGL<2QV?!s+U^9<O=&6=fv1mPp35n<FVxO&79gBuQ%(=5i
zn3vH98Pp9zl{E-NfHS@{G;H9OwZ2>Z9M5gu=m28KOx=aNWZ)-TjsPM&B*fq->%CI%
zjUy#1ky2KrL%$|ZFb4u2+niT#$$M5RE9B+I7;IuZo^+s<EHxjn-0b^iP#%b+4BlQl
ze(b}E#mK-?BqDsI-bi@_!)9h?9$vj}_tNyHtAvqIXjcTVDvSL&*;i#t0LrgM02P(w
z)l>o57j8{6D-ShPYPdRCR6fhe#mli2lG3{gtr~U6J*y{G?+^1)N`5Lel{GsZa07H9
zMI+LFcfc;}zTe-a@3%$Ot%au3?6P&FfY;&45ti3NCm2`$MJ68xt0PSa|BDd2@LO;-
zLKYoRDQLW;uKGS*XSb4&UF1ILYB%$!Weik$=!*<Ty7X3)9!Fzst8^Bhl?4CBL3<y<
z@@+pE!e$sgWt=2cs2qU+1hRUUl~tOW{VfKMYbJ5(xY2H=V9vDe{!xur)~mDCsBXWg
z6;TNZa6d0*+&gbU^{d>*pyZjp)zOtuviuD8^nU3tbosYGk?WNvm5{QUqO`Lb*5{0(
zziP2-;I?H$IGht7Dh=zaT#wU#fllu()(UI!Q7b9Dpuk)4F&{gU7^pIw%v2XEeLS#Y
zho4<vsnVb5SiAQQQ=pW=g6bzb{QOAiCc(7wu1MC%Og~8KDIg4luqyr^O<x%n)%UeM
zlyrA@cS=bKNXLL64bmXpC5Ry1-AXsoT}pQd2nYy6NOwv2ZhrswIp6exVXkxb*?X;f
z-9bpGzdvko2Hro&(9Stn`b?J~Wuw>B+1pz<`Gve5);UB<kTE&=fX|C`{KL_oUH8AT
z_kF{fN-uzQ^vTH-Mm7KOKJc)=+<Q&G>sL6-dQc+3dmX1pQf@0ZFF3u+AVPr6TC{LK
z4lQ#By#PNI32O+?gM=cdZ1uR}d4H+wC~C~7h6T&Rgjr<Fpx@`x5jyULqqC7?MPiSK
zB7t1^C!atW3;0CM&Cf@6k{G@ugQmj6(Gg@4{K`t<d%9Lpx%!YS2eM{u1fG5TkRfm+
zJfSj1Lf`4I44PZ?i?Lp?i<++k#UALcjh6&pkYI@BsQqoxvE_OJs1NGZ8^Sw)tp@gS
z{rwW84v|8@-#`nzY9Bk$A8+^_yD6o0%d$S1Kp-srjlr!UY*Q2azDPL@XZrd9v`z+@
zaFAJKI0*OvaMif*$b_GItHjE&fTc`>g2PKk3%8*_{^D?UUE_Mc(5K>>waDGg?HprI
zF4a;mH5Bq)sd05*!lh!9V+1JdQk1qB{P^o$L3jl05ojFHQQ*vVdA;cRqGZZn$FqCe
z8s6?!?4iQ&2aG0Em;M3fo1@!@;^B|%3+RtSL}ga)`YdwBxl336*QHwJeGse1wXD3D
z=YtGP8mbOkpM)t-A46^<m8z@q%iok8eh$O1KEAl78gv;O1&L?OiZhsT<;IPLR57l<
zvzMF3Nf4wgwhNTIKY7pV2Z9p)`?@oCXP7p6ZqwF>A_u%#9t=|R_Td%HuIF0EpHWnO
z@{{PVdzBh;`IuSNUu1UU|7ru=Fd$EeenHuFOrL)i60ryTMAcs{>D=0~_U%fnZS`#o
zAt^`Xles7{r8*>q5aiH77!=Ry)=rSVH5~$3+POsJf3K@o3c8DQ#_2YW%>2RvDlK>$
zk1Wj_gg|~rsEkD3lhIKk4GN@3;nb>rSj5E8(BGw-osNovf&|XV@aV)F<<?!)$iP5s
z{Z}2>ep2xufK~@Xy_FXQR3q+*H%y~-EJfNp3oZpLbeVj^g1S-=6dd$7V-a$DjsPD8
zcGD~b0Gb!x0UcBb&f4|5OJ<H<8c0+C7w}2}kG!~A82uH`%V}I*V8e?C-v_rmBUGQx
z)K;>T?eavnun{0D@i)!|?mR#aV>iZM)Zv_oE;(5{8%<SdtQk!h)sO#-ng}g)ePG*S
zKQIdV)m1M<OU_4wg^0-<G8Gc!pe2LX2fydpxfmxiV55nK#ezzzC9zGk_S4YVScq++
zqa3)tv0S?OsAxfGnhuBDs{?*B)p9LZ9cQA$n~%vk6(R?;ufPr$H7ckYvWD@L7ij|I
zfA#pq@xp1!<ms}%U%jazE@%XaG$04$1sNrlV)qV(>bpF?5t4#TosEG`8$V-imw^%;
z9zOy?j@P!|=%r^_^IG^`5zdNa{B-s6wnvblh#RyP;o*ygQT}VHW=n4kD{bm6mU=0n
zY9kY`VF3vu&`RM^D!D4m6bS#k&5*tL#p<b>vglZ|fPZ}G<=Df1_R(L0dXSfHsmX|g
z2yEppUbWLFpj^4=$t%op6{f&?_R+D~@7J2++a3KXB3cXZ5-~ip;s=C|U7i6IhAfc@
zLoVwOn^wd3bAKv%FjNg%PWiiM%qNMJY|FIiUVdZttbHTfr^#oLNH?eOIaR>^r%mb(
z0LVd88#mgmoW=!WjVP$7V&&<*D@Da8?S-;x0;Fq__uNJ6&-^lrH3@KK1T+;I%9OLD
z7n7k?9z!3+3aVtjI6niJ4p^1}K#hLI!Wr}F)>NfY?bokTeRT&h<Iej)$5rw5YLMJ8
zJv|*_AX3Fqr4`bk@rR4cjn*5F9!Dwsw~j^o7g$QFE{VC;#KYn8_Bz<i&E5eQJ1asL
zioqray4l;S1S=IjwMJLDJw{%dXVFn_r+@8KWoIsYtK(3sjDI!=az1EG7ev{@p$XYJ
zeEx15!b0>9D%fge+P*LRZVLnjhf#1snD3avnPfFb>x^x8WWw*RL2>(o(o^2u`S-zJ
zcNDyL?qi9IGz+u}yaOE^G~zm~nK%rYEYez#c-f^fToO2lhQj%9Y+$=MM_y4-;12~E
z2vvnk;ZQt65CbbMqVpA$uamVjV&-!MO%E{OI8QMfh|OL!v$n{N7mf}4ZbtHnNeCEi
z|FCQ1chnvp8X6L&UA+F|heTUwT+`i>6|hbGf;JrFNiH8YB`hi?4h;qj4aBV3H3Bvu
zDzgzcH#aE7ot;f%d++VJFu_)?zWS4N@DzZ!stXX>zL07F#Ol^v<cR@>YF1L5BesN_
z;FNeh2fM0PH7ED*@=}!#s6;QV^*1<2pMt!Mj06XM=n@jDzhrd~%KE-Ob$@d^=93Q>
z1djw!l}HmvMC++{)6->3dBW}w4|#hU42NR^ASlX&TP-?V*F|xX61SD_ly*VBM|E=5
z;WCjO3xPYuU1RHyx)sw6wutD#SaRL+tL-oV1=!l!3XrL?6V85s2KMQo{~s5Cg#e`e
z;BQ?3`Yp1Id-3d?<LFGB8YLc{)_l#6_$h#{e_=bx-3b*)PYkjNCip$Q=_`Yy@$y?f
zRa4{RpAPKvEd^F=EUW=o?Qjxuko}gb(k|$;JB<V9V&BSy>uH(e8xZ9+_#1pcN2ytY
z)wj3b+1?E*Ol_#4oeu3GK;RO~5qscdgw5%jO~RvymQ-Biki_515TrmLC@O9c(|MRX
z)Sx#bYi9h6B>}N=vc%Lz10of~_ZczI@RCM~MWg(u-L5MR;u9$2L$lKXEhG82p!bMM
zN;(NUIr+MFY`&kgm^yqvu2$maUnTU^k#58X1Xy*1FerxLSfLqZ7CQu>APU$7hp@~r
zM1cy-+g}FGNiQ`cOdvxAXS(G9JY~v3pd;cUK;vHd2(=3g3<S-kXbu^iEyYc$rH5z^
z55`lo#<ep+yxatkDHW6i=n;mKUm*li>fGr*?vf1-5n}GfbYEB&^`|n#Or8$rD<?Kb
zqFRVl{N~NoLhPCE3nF6T^V|FHVc1}i>gORq!fHWveYn)9JFX9mf_1A67n={kWM;xM
zdsJBleiUm@Rfe@fJ6hx|h^uyV#DW;Nu{1R`2~l9dlsw{Q$|c=5P*4=#`5AJ&n)5vx
z7-aVM$|kiUqCwh|=7LUhbW9e<BBfd>2zK81=qr`^T^|K3J@WE#8hs!{#55Q#;n-&4
zb^~+s*VnCpZxe98p0mygFT0J$|0_XZ1R;y@{^Q>m-Mv%b7aU2~pVGvDeV8u4twK-3
zqwpFY5)G9LrHiB)XS@yiJA@N2-bN0Y<ETLkLGZcfdll@wU3>xdtEvt#CCzZ}FQ{b#
zf;xC9HDcyIukbK3BvtBRZyCb``bZoaGm=$oPXac%BArZIHL-(&-f?!_YKvh{(w&L*
zb+eiU^F#IR!_pzB8t>dYo}0jc^#fLqt&x-@!;GgrJ)1EjXwn<Ce%H`8v+1HYJ*L=#
zu8|>GcuCcRuO<!oWACt+jov)icVm)(AKj`-mE<svn5?*{DBt`kgW{MwFRT+8xH|wh
zDA2a1K6({30or$sN%!jUwW>_-7=mHV!sKTw@=s<Zv%FEPNy7{n-&rC#M)_V;L!>_N
zeS5c2>_~P#B#wsL+Ms5C`+GB4sfhf!BMR+|fS?<W@f`thHvs;3rhFM8=jTu*fPiFw
zaaaZ%Ct!HwzY|>xhA-Zub^dGWR7V*JXPG!H{vg86xYcz_=5}Y@h0AojT$z@nRv-aI
zA;{H%*VMA&+hvxo=tR)>@88vzC3Tuq*m=d9!dTRYC|0N(GhF{x?7gfnmS<hr`^SyV
zSx6RyqgtKvyehx3tLssTnxpIZ_@?<aV^J_1gu(=$R=B=^e<Ubqbj7DLnJMBoD-Hyc
zfCQ;6zWPlc6H?G%&8vKtj-!U5g#ne00*U$oE&^)GPaAyO3Ha@=v(c*}UK-Jb!}p`q
zCmTg&31+j4Y`tuhT>l=g`rwX8z+x8Fa-TFGw;}wvnD?+4^-pQkJ1!!>bYVZCfSUUo
zF8VA<&)BJ+r)+Fw*r7T$#m?W$ed0iAe(>U=_qWr!@=f5LcQS_jNw^BS2vKX4$0UPe
zM5GN-n2uQi{ezOnv98CNebw<w`|}(%gR0ar!b#a}4sEbbC(p64pPIA%(Aqq7CSaC@
z-LkMxNlDqb>@X{rS6p`cTrqL+#4SuX+54NS43z>~&xIHbfyJrs;di%FBC=B-wstn6
zs1nQhuMT&xI7uLO{~n6O-^H6Y3Lct#feYMa#Ewr^W1K|Hdlv7=@b{v8%cE+cZpP59
z{Z(Y^4pBE(rX<Ch1@z$0Ysa(6^m1bEvRra!rF1c=M4=Xb4X-J+O$vGpSO}_3x{dee
zz<yd=mPOL<+xb|oUQ~->t872Tg`?{Ou@Kt-?IK9kvVqaM<FnvKoxmGGL-B{oX5({K
zSbkMbqHgMzcas5?{<g5mrMe$J3T+yfk<#pi&aqbN37Mq`2Sd`&kA`Z*!s}cv2pjyr
zwP)dzN6OpYR%t3N|8*YnHJX$8u{00H8vdo8<aQD$!2kdNhfn?eOFq8X+2iZkFv&_7
z<QoD^N((}#8<k(G&9Pm^ubRk%p$;_%=jo6zKObD)DINugwPq<|slzJ^ZiQzgN!(4x
zB4nYK58GIuo*pp}tfr=<%y2y|kha&)60sWy#DZj>>xp-j9d>tq^ubP7VUq6@i~UZL
zrB-4k9pdKrqg|17vxhJ(xLC^`1EO!wwkV$A)ib_x&Yb=03h4vRjE%qq(;PNrMu0L#
z{%NYmIm$+W21ErRmUKy*JB5HtqR!)46cwHf9j$w}b(YW{b<cq?qZWSp`@**q)Qa=^
z%wz<#=633CL>`vBgrTwqXpm%f8fVb^??2E@fP}7Z_QEH5pf4nkO*Q;krlm}da91Kv
zix=Xm-JDThR|h<!4`OqQcRPohWMcGpK7UrGV|}GSJ^Ws%(fgg#yo9fd!QgVwX5sd^
z4}KmgqI6_gUTj0bh(=lXlEM~hP(Q`QZR5<PYbym}@Auw^YDe4ZslUI@<Fqktoff)B
zMGwxlMr)Rkk`i3lY^t!au_MCK&c5~_GG{^*Xk32bXU5`2-QE)b)wW8HwS|Qt%YV;6
zct<hOrm937#f(is=7Uc<tS8I0Y*0VANdM2nL%@U&NR&xYDsdFjQX2pCv&h!2fsvve
z<o21D#N~qwwg4A-5Nrf+s};xgYWuNs7Yb^pGQr|!5FD8|OHrE*Ux)};;QQWQrF?4y
zRu@f8p6|o{g${(gY5*ePWvdpQ)dmMY506U*LF>^vA|fIj7r&N%SHo637Cbq<vD+W3
zrT$+V8r;7?uQ57-ymQ|{-H}y2At*M2+na1Q-TtVI;<^f|ucTaihNvOcqjxvybINj~
zs^Q*HI&is~ttRkN;y0zLptPOsssfSS&kkryQ(K#zo=&InbwD7kv4#?6*vqO*NAHD9
z;UPggQ`VA5M{NlZNBAO*i+17`<k+2^xsrT>j_kUVA%3{+P))Qj=K9%W#FjF)mpi|7
z{g7O!aMI%YTp`u2_?c#)Fh$p`zM}kq{nYVw62mEkoulcuCSo*_&9pn34&NcV@rSDt
zQNIAtOc?U~ck5NA+eZzM{k>!Y>J#W3hC<P*<~-^#Uy<=D1XI7b?`{0;Tc)iKzRgNS
zAb-)XI*!?*`wPm#WB?SraI%XixmjM597`7F$Kg_)6^>QCeef>+4=O{aO=Qrk<H{Hj
zHy@LI=$7yE8n6Yi*&s)IVzX(8c}Yhhq1fNAt{+PDX&nUeDR%Gx_P};k18l9SIBqX*
zVI-?T37`*LpPOauR~(z0A2>DD-mQ_3NKYPJ{7JCNq!}K4OPQ7aXQn0Eu%HNT{ntkx
z&@(iiZRecS|Ip;iV`6)Uk!g7H=?xA8tpbI+(RLMa^=gODY-zx9ld3x%q_V0CY^Tk~
z?{m3qUrOYe0BCegk35?9oQz*fG8BjD&qaicFAgG9Nd~f5e}1JxW<nt6^e>*DFSi$X
zAV`nWrRQ7r)_MfOi?HF1e<N_Y9B2(pd^*g<rLW48Pw5)wfrYBc0cMVIWS%<bjI7rU
zt*(x$AX*`ctiAGxj4N}C2c^WXwKWrPYx}?RqzDvn=2dr+TP?E|5jO=~2b;24h2YSJ
zlogH>1P{CNONu`ETd@`aS>4`TMfJXM15Xn-4Y2-fUpYM0fubka=Z6cr_*mde`-?0&
z9fIZ%?DL?)fR-^7f#@SJ$V`oU!<7ciUVZL>5j1G4DFnXr2)sN4v8h!$Vlejxd|-Ie
zFh7zau>D^2Y~=$sf;I$2fyYeK#FJ1rUdBv+DwjcO;>CK0Hd|}8a)4Egp{9~7t4=J-
zEhCw0dFiM)_YNl)7s%(6IM0zo0TLCUaeN{IvJ~a+81-ELK7R|+H{@j#6ujqY`NvtI
zG&g-GQPI)-^s(k~wi~binsL^YIEz~*LJDxCuo@<yfB5<MxX7OBB3v+rvX7~rPuQ4A
zRH3s$gvet0_K5lzm6qyjrX_sYRw9}?e5}H}`8sWry)jo`MmXrgQN$3EzIc4%9hBXQ
zO)G1ED69rN6M`<kqlZIB5Wi+gePI5JtI`)FvL4L~3gOSLH}HHU7@qgbb?I~qvYOWM
zSt^5MOy(QxT*z&@8vPGfxyN_FQQU=sy$Jk}mF#mkSI(c{wt{@tdf(&r4P&)Li^1*~
zxp4%8k609WsAy<X_(*uT?|zu`vAxZZk4E#Y>d>p0o48I#r3Jqep3X4r>4n}ZADL-)
zvZ=qWUj)@NF$vsNV<|c=egD;A*<<CtFdhGvHBa2dUZgCgs$55u-N`B&U4NfJk**&}
zly|I1f1x(bdgK`@qQI1pL28IDTIfML7-PZm69QbUI#9I!$}2CATv=cVqNUnQk>SGO
zlkuBkwFL#K(7$3}Io}0+DX*w1oYPsGN)-vP6i&6wnBE!`Yi2D9i3f}xxbtQ%f+h!L
z)^QdIdYJWN=;BCtG9L<jk`=PGL_HhKC&UZ|GLjJfCwgVrUA#y-i<*HWQ5HTJeYL}|
zi~5+sD`^Tf(Z7&fh946}yKXsYGJO)q#oQd0b08p1qriZVGDHFkM(1SFfXG6MUgw+R
z&1@|d0Z%Mk_Zmw*Fo@U(Tzye`2noAv{i46}ONzo|z$v<w^PU7b+L&SA1yqBQ$^>~)
z?+I*0%7|qnG+c|`A4YidoJYu_3~Or*EF<7b-W>pGi8X45)&nXhZHhU|&V|4$Joz&9
z5n55r-M#UYlyixnPhc7IFrxnesuTdcWx}(E1|!)t@IsNAswgAJ=Bwcqe-@<EIoLyZ
zU}<WA_y!n)fEglMQAU_WYaPuykUpIq5)U@DmX?;Lrqo7jNlZEbhpb)0gr5aX+gRwl
zjCOziFSFjxqC<}Y^?SUVW8}$>-#zKG`nRF7TD>-7NVuF`)MsU+`SS67qDQ`*#kazw
zyaN`zKAY%_pE()ra4}XG6ag)%a^Y_dh@P<D8W-FBmq}d&rBfwjLn8>nD<oh=82Dgd
z!(KFDIk3)e7M-Eu$3FowXPQqPW%}NC2YP$kkkO&g#=^kBo`Z`kcT_3n7>EhhFyKo|
z+;WHdInWM+AU{VKrA9jPHF*bA=wCn(rKg@u33();N~2q6pq!9<6EWmHdGkc<042M;
zdox=sTX|mais$@brI6`(N3KoD9xr43bF!H8@vNu9%A4uG_qO<%43gV<waZt(_?NO}
zj5yAXuRhSxaDE(OMnQpWufal3pBDmucu~p)4^ne^f7gka8-@_)301(IuBfW2%6YIU
z@&bg4>#M7L7Jw>2f^JwoFIRpdiT?DwbIQu44-pMV1`PFphZUDmTe8tewwU~#riFkd
z%zZP-Oi7aZ0~SQc4JBw2x%$Lz%9K?%HhU#9s4o5J!fD5~)l0dDI7&_iB_d-c60NvY
z#lud*fyAuZlXAnZn9{w7S%2^Iv|V;2{vd+{*}4NAt+Ai(<UV1b8z>I^+E*O0^B-~k
zTA2%$sxu{lejPRtvruYPV!O0|sj_4VJnf2pjR4V5v^;%lKo;G6qpMbe&F*tD!b;m$
zbO<tVaL>!BD=RBW&>yC!H7n-Y#JUhLre=adl$1VMxZO{KPOqNUn6zZbTU<h1yi%=6
zXht2)RiU8}k+^>~B=xG39AQ-@A+2<Ce1B1V39R8LMW)~U#<E{DerL}n^Y*G9e04eD
z`&Ou9S*i2dh&cHo<OB+j2njEA_KmeS-xMm=(n1p=POcxdNea7nle~7zSUdA!DFVW;
ze<$lN@q;bpPcv@UnGAb=?8lnqWcBzcm7zA^%K+z!Lff{sw#-K6Z0-RfHG263_~6en
zvy+!1uPf0mW%TQcvUKH&1hE~qSj>%tY^viw>!JIF{mup}gQd+s&>I^EEuZ2mDzs3+
zXbZPcs#ZZsN{R@t{0+sRVq(W|(5Y}NfM;T{lS-0-q6biiqqa{MmzTxF#eb<D%U=n6
z4Uk4e+K7^7E&I{tw#k16lI?Cc2P>1?0KcbsSx#1x5>9Hd+Ia%d!=C6$Ghv`|kCCT$
zwYHb*6Jd?XDWPW0as21p6&!4%Y+U1SqnGM}d~kRO<d4G^u7%exxfQ%ETt?5u)mjBT
z03L=A1iFdJ*AlRX7O!JtR{yDFWWozUT7``HNC<(m|BL(XyzNKzxb2e0%OWL4c2sco
z8>-Yf^+l(BZE0aC`bFh1jaOi4rKgj~AUcrE_Qup+opDaX=Ub_l?B*8_fGX(oO>P!Z
zdu3<ZT5tc8_sn!XExT{KP6YNgpT5-gl21FL9oJI>a+*wlPRw)uTNTw@UaL=Ipbw<o
z0Q9yd9oJaxin*8(WH0&Vh9XE1U5?^;_7HcGJ(de28YY_s9GrfJjssFY5&a9RNZOL!
z1QC89{s#b{ku#}~VFG*9QaCmq864a*4rcU}2A#3AME{|e=%6tPaDbym>^(X<0#J&a
zr4oJ_qvj8tiAHaJl;8^88slt4IM%Jl$45ukg-L9AHK(Q*>n?v(rozrjXO6Ey*NS?5
z1wzD}MRSgryk4^7sL2Eg)9o-+chDEGwE14{p;K{%{JHeqo0#{-(+`(IffU+~Bzbei
z3Vbl#g-%S^Rv9h45Ee!W{wye}qz#Ui<)t`}F{nHgN|fR+fh|WPl?(+U^ypclk2E%o
z`c}P5O^3I)w;6MiFe7Vms&>(;eJ+TGl1A2+1_T2C2Kt?<(q)3%sLj1=FaywMPR0K#
zdO-+ktpUIhL~7kCA!LZ<#f?1jlKLl&mv2yMYMHr|TMazaE8skYE{&8(<uoY<2hDd>
zJKQphK|qJFV(z&gaD|8tFYf-GaUGHWXSLI>U^?7Qf-3ICq?oa<;3%~fQlI!Jgr|Or
zx;txE2e_wR`aUqcZi#LN5^-R?9PaJqToM@*aaER2^iw3o1g`?^N07%|M@0&k)bwnt
z29nxu(F8Hpn^bcU{S@@US3ve;WsmC$7$X}+Cl_%jYa5<y{|J6YSkF?#`?5lwTvI}-
z+FCEV<~k}F3cg_re+S_kbLvmUXqb@XI`>3ltQyw|?g?bI?zJ>1T55E*1h_Mr$uw|?
zikm-44+gx*s|HY!?mPXii)VLZf7zv7Gve1D8bf<nzr6&L815Ty>bSx1H?L=W{m)8f
zfpY!5s7$#chtI1<ol#eotb+ao3OsmvQPU9QzT-0?nwBw-bo&Y5e6^XFv+4kH5mkEZ
ztDIKa<_<mKOrN*f3mH2aae|36NU#wqxOmaSVdCm9aFe4U6GWRCOYv12_-~(j#UlUr
zwBVnfmTTs?)fWvGuTd)ken^X(V<H3Qy8{eIb_2RuS*=XI;7tJWX+<aS_Z#yc0a7|l
zchhPj1ImW+eb@pIu~!ZyM}izM+>VYMaS)l%dj!g!ps5J-{atrokZk;F;aUa~#M)1v
zZ>d+W5IE?9GyQW{)oA+uF641No4sfN=EC%QG7VUhZIFZGpVM}GgAVVoO#Ef;49iqD
zEo=xiF&>d}--g$yN|CGB73ca~`pah}no98L`}3TGE?^J_oFBwo%0x*psII6mc6k~%
zdNOT_I30F8YJ&x_JIh`qsHFEv(6PKZS<*>(N}tS5jL<yJWJiJ`;Hh4j8puPBcfksG
z%j0)K3GPvUmGA;dijI{K1hHN!WcT6VGSpkNfMFD%0D$45+V1Zb;EX?nD&N*jp0MY5
z2~t4M&aVKI?N`@fe(pm$Lj<?{NP<*?c?e=i%9Y}C6lTF}@|nk<lti;iD)i?s@G8<Z
z-ntE{zw)#oMnht-seEG%p?d_5RaXK3jD4-&-nq~sLJUOt2s`W<B~?I9X-$X0s4=O!
zxx^84qc#2UhdexlCR|xT$eR&VqcVW?5sjZPx&;*bK$dG6JdRWQG=55kZcFshgW;{u
zm)@jdPzBs}aTjf76G!!fxl-o^+E2tEFA~xuvV5*=D09xi0V`cBp96PycUP=r#br0X
zNP-mxJAIn`1IQ?I+zB}2J@)o~Naj=3!dJ4+J`YbX-W@}Dw|62Fp7ANrYIjEbxOn@Y
z+MmwrbilmiAWDJmn)!xcmk6L$N!hCg`LcC$)x`ZYRbob=k*3i1Yh^h8yc|}I&#o*g
zlDfw1$0N5_Z$G^4E#7rgPaYlTi}>-&a*i-Pt7ZBpsd&7$<mxT$4{(?LEF~{8`PecX
zmYp{8y7@Z<8{ti&q3lFT@KWVes`D)8OEi1O2M7MU$|j<XlE;`+`q;HKWlX`)VQ7j{
zsuEWM%^ZOMo5nV5qllfXU|PXG=j)pjYn1H>m~Q?+)B-$JfV=o3Bm(vmOoUTUd@7Jp
zXrHz1v^l!yYs!Yc(+@$TgTNJLvXnQ-8+^2|E?%|<!@0j*-SkbdO4x#a$y~V0>wT1h
zAGa730V(^bV&Ru4kDg`Bn;eBB|9YEGfqzrREr$87&u)e-XR0>wiEGGZ0WSfYOBbm?
zrTyQy-b!4|d<?Ph#RHD4fYQwML&lPIG$1pBhgMZnBdI0AQUoN1&cf08;cirN3CU;P
zu<BMQu!hK+B=>sQ{ntnwH*Mqo?-B3-P~t{W_?u5`1eO*Tf#rLp3!*d*qV$tdK~<xO
zQMMbthBe2j{7zPI$Gk5Q3y%RK9E4x}2uT{jh2pL&j{%iV^ob}|KlF#+RDcYwXK4S<
zPPk9v75m04N--fAzKnXzsn{k?vD8E+Dj;$&^oun9-Zi9(V#{NiV})o8A4NMFg<%81
zF6lK%HyenG!r`+_ir7Mcn2(vM<>RSde5h}yav-u;aWgDpygsxq8V9f7f^lLzl&$F5
z6g~%`QZXA`a1R6yrAPJ_&l0%8sW34uo%_2OUDvr?;)~?>KvQION{8sT%1C&=3D}rm
zU0+{=!sKkjDC0CQQNlooelC-xKKrluyX9^2tl=v4NVG8}ItZQLg;{<J0t62cQYbDr
zm58E<1o2)%fY3k?;iL+z<j>J%;yV;c*4bU$-5augQ4%ciUph)fcKYvk9Zx^*s1-$f
z#qPQ<9bco;(mTcEpYhm~5`BENK#2C|MHg$h`LbvIqWId&@uwmk?x{%EGS-({TUiOX
zIRVs+?AH@;Qc5DrXBU=5I2(ZFY@3-$*PT3Lu`qtot(g@929rQ$u;T-=Q2#obWuKqi
z2u#p~D6j^sVSk@;p>VUB5qPacsSB%*a++w3sNuK91O9%zx<%Wx+m6MGv}vP0xz;*x
zV-w?5`ul*A3LLH-o7YcCZmsHV4+!<_E)0rhcMqbS_S;J1`A&g*EFuZLzf8cgr`_9F
ztx;<P12G{{0$VI}GLOv=EkUkwJQ}#*%!&pw$LnU6B7hzdi(t5ds-pxu{G+y}YD$E@
zY>+l13eJ=weTKCSE`x5x0;o>1WMf~T`O32KsCoor#FQgK5NVPX*n-{bnw!1AJ5iE`
zI#x~!X{q*mCjSf2Xu!N_%d+;BD66v7-U@{yZxuwYfd?fxZQv}cfbquALn%l?y&Vl;
zUA!fZeU;?|vi6W0f9sF|HJ=u!+8cBMnmIB78kTZs>d!I*XbLYmDf#)q%hAlGlJv;G
z&~H3HWW&V$eGgypW}LmTf03c0#=gl28;gfJIyeA}R>})Vkli1HC|>r9Ei*lL2OM0N
zSM&Y~Xt4XgG5ZVLE%dBUqXsq4(413G)bCH+A{!4_uf+R`W3W@+fx#|_eaATkY4zY=
z(Y1ieVYmjKDD<TA_q#_Yq1;Oo4>c6pU>fh@s*4++lc)Hr^MYE=vBaHm%CSX$-E;5>
z{coq69BBJ2_((CH6~D!fYbO++bOS^7L*ZCJ1vnTX#03*ZpzbM|%~1WKrIg__Art;o
zBw9${s3jHKW)?>(_A@effXMWABRWXNGqjg8HN*18I|dwt0$Vl!mbfrzMUEhU{=En<
zIf8Bo7ZU%)vuIuvB{+&hxiC2zIxc`qQ2OjsGIX#hqfm(zjiGS1xbbU8i@2oZzfXbT
z4$I*->|(U68Vpis<reH=ICKj7@r?8m-+7{8KhHZB5rEeTI2eYP1kB=rKna)zRrx{<
z7pms$u(5MK*+`gPQ{5s$Ad1oi6?F;CXyqp?@UVXP)jt;MTVsDG@SF9^loP1_`C$Tz
z@0{JZxP}=?d1z7R$FL~Td3}7<aE8cJTNgE6gGHz&Dm;NE#I)cgL|!e>n0s=N{fC*k
zC?W(t#NJqCBzs9`T9jO}9;#$t6+t(t*Q-IZe)=vs+6x8bvV%0LugxX|ITW9`81PEt
zkRskqwi)MRVxhtL`}Izw07#9Cn>+8C7NF%89pL~q?=S)}JDSInv#ztd7l0doW0Sw@
z4hUM~Q?B)LK;F8e3g;uVKE|S=wR?E!3kYgY46E$oGEzztwv<(7Oj{k^+yxiY1Jv#8
zvA%niwyb`v^M87jUC=TPZtj}O%5>`QJb<bO#vch80S*+GATqTnhamzwQdbGIk8V5Q
zy*>1d`Te}xODD6Q!(N;UfRN}%Bkx~H_c=E2-@X4FY`Xa!W}N|F&_ker1P$6;qLYd@
zl_tXFHSMB-hp7DE>z%yJ*!CUl?o8*(UCwidA3HOd7`4w=Eo^0tUhbm}S^914S#8|?
z{z1FCqhf9^vR)`An9JdlXy^3*aRGK}f8wY{suaLOh{e?jQINhS@B$$Dz}(Ky@9xhZ
z8xrhz8XiPMMA=W81VB>KF-L1b?SCR&vw$D*M!EX-U3y{&-00|A)CxJ{kWBe0K%DFE
zPZRHNa!6BRoGEH_c8ou!=#HQ%3mYGum}9Q&&rvH`ade7ninkvp#F2?V`>D3G&HM_v
zL0fL!HcD}sRM39ubw1xZEi!~j1dl->O40HF3t6ospZt8-6+e|Ah3IFKr}$C8&kmp4
zv#t7DlINXr7>oQ1+>jtzWbX&(zUcD}fMbBDghXWWuRGE<LTH=VW(jN*-uu=2zydCQ
z67V^!>(`zzQHiH*yIq9|-+Scv#rJoCbcD9x35e#vQt~sL8#$Cw%r^hLOK)v$ih_CD
z+mD71|9=*<aNAmmRTGT#eSHjntD~c+qashMyS_avBhLpWvLoL~O)UOD37?~*qmxt3
z>~1=$8&hxB;ydv7ySgN_b^+ZF7|3kTgbk9dsuTi*&RXPlHwu9c=;bh<eU$zYrzenz
zASDy;9q%?Zr!?qZ4#$c^6BH!(I#)T3<L$N2Ab}O90|LT$?5z$C80d1hSpJAUKBGZK
zV$cc>uitgFY=@@AD7Cuk)3s`_0D`aY)aHnMK0P1hS7RCaPaHK$nY(q>c#7A>*E*X8
z{WXAO0?v??O~<#df|<jAv&FGjM9&?rI>0P^{P2f3MnTvx)gh)U!_LSnbTlL#hHNQS
z#aD0ecl3SE8H_j=YD|EqlX1g10kzo2A8M#L&&N{=^gkp66Xw(PpG=wV)~;ezvLlHc
zb>4Px@XpyP%pc2@_0&EPu*B2!2)}ZjA99JzPt^7?ZLfye5+g!Q&8^eF7E;W)*>-)7
zB&xMH4geRRC2(Z9oZX5?l%;LcS^w=*RdIRc^P|{$duLLZurL|SHH81Z!#@_?bh{3b
z+Y}Yo?#tc#s%^L0;sP7XC;E@68UNo4Z)Lf@vqGyn%M4A3Mv+{#Eo&4K@fk>ojN?U1
z!pTpLd>TrFv6x=!ep@(Te#MX*qMW`L-T<d>1tIqv9Fg~{V>vNBOu*#XA@W4ue&9|0
zB4EP3_XY9pRT?Z{AaLp}ZodWM{$k|Ko7`kUevD$`*!|VB^LF7K+e|g4q$ETW>kd3X
z=mTa&&K>Friz8n$ZOaLCwRmYme3s~gc}#^wwQC#yWLCIgdHtOdJeE@5Y;9^NiYp1$
z>J92e>h=a7PM(5&6fHUHVW|rUB1XHJ*l@aAu5@{$TWT)V%a{8LVmVk5wqewlRci3O
z5CyuBlvuO)V)iI!+eJOWCBSHF(y#K{&2e1kX(|}Jqq%Je$JNmbuy!w*DXXlm&YfR>
zp<1RbqpO7-SqX`RNH-+A62jxr2$-4nDrVn@%B%xH=><Pq(XX7<&_TYdIyVqYw$kBq
ze#0zZGP`){RI;U@b$D^E4a9S}3_hCKUmw%s!ZC%K19+8el}Iz9h_{_3kdX{pP(o0c
zlwDZMOyRc**)(xJV|gvG>jGC(*R7F7>^%d0eY9XHxwCLdjX~D~l$lo3-8zs!<aiX!
z?O`eY;rLE}Kk+KA!V3W|J*+w}b>n7n*6ry*bNz>zws%}8Pd6Ph3#^`V#i<;w)N$Y!
zNmTqrqaCxn@D{J0vm2y#)YEBRMgsY4?ui|LSRz3@5P{qP7Z4ooU;gdCHGU4eW=e`c
zjRGw09Lxz3^RYiWu-bDb2P%lw_+FEPddcjh#NF6=2QWbCLzDosFqcOkd>HsseP|Lc
z$n_NFv1UY~=`L)*GppU}7z_3obZO))jjy}uFWS&p)e2RDHc&c~xptMMAr>|@mH5vz
z#=a%=V?h2^Rqnf3&Cr@Lgvds!N-|m>B_sv{h<4rWiphO*b%6~^<I=PDEi2uOXJs(x
zpiF#UqyyO*K(9*L6|BjeV>chuF$GxUh4CETosvym|2598U=)PqIW_9v4I8i7QfnPU
zg0%d`;uF%fYu|rUJg8Bv(pfI`cOL9!tVn2jzZWpbEcCh(FjAZa!65kI8~6P;pz&1t
zo_Je&D((c{L{#>qd0){Sy15akqokzTeLOPko`o5`Ozl&LB(1r!o=1shostr(BqgTa
zWb7~fUo8^djuN6r$YMbnw6Du;7t6un4Kx|Xd0AOvX#``yYDI15U;TCNqyxqB(y{)^
z3tR*Yx_Skr{9vFT_R7&Zu4?=DZ^7XDhsdj@U_wP+ddzPjYWojU1S+F=jEkwN!#4pM
znkZmL<@sYBYMrw}wPsG5g_I<-8ML|ol}pP}P6Pew>gw^nQ~%7bw7gu%4;PAhtgjcM
z4KaSR$rXmqp;x!5Y{vRK&EMEibRnk0ml{y-&jO8@rbz1l_!-`>hm^9TdwqI|9=gkL
zZSZ!6v??zrCqSbIfBN(kIK(@D+C$gT)s^)6x5w<VKVQW$n(f^sK12x-pF9`mj?52L
z@<JZ0`e;-ZoJF!zzOf?a!MJFf2~LK8ORReVy~#;Q_|M5qPubFrJ+|-ylUgBxSW0Cu
z7z{*hc2*m!-rR5qTLoopIj#tC{0z3j5cW=eU0I;xj}~1r{KkP$iD=&!za8$={7)h$
zT{ANTOo&vE@?_RCubDf0d;10J)6AXQ$H%VZGutZ?2*<RVJ3a*13S^FNQ{HTY|0*WN
zUR6Fm6#{}lUv`wsyNLX77abSY^il<QvmVeaSurXNvn}w@6>&t$eBtmp-H#c&=ipp6
z4QxufH}`S{Zz1?AvKQ_*Kl?^*$Vh_ZHN90%?{bcbbcm@DcJ9GO0o0xy8@$BZ#8kJl
zpNG%~($%F)3?sBv6DfRmmh99#>>Zxc3T|hf4>()AsI3E6Q<Ki?xxe0>9Ln}p=;=aP
z<D+3iB!Gre&*9b;R4v!NeE5F;^Pc3t+sRjPRK28-p3z%=h>aQZWmb$ltR3Wyqr+N{
z(Mz~m$(rAPJx&J8eN3(?&0H&$L+=c!w!@V3wgXtFutXYSF4xFW;tFPshjM4qtIh&D
zwEB8}=Ao7H{s_<Jx1O(0k9r-YVLx`o0)tj!s8s@Uva^9<`1!fp+V#qQTU$VhE2;TH
z-{*GYnl%9V0fR8usrNeJacUEn{<`Ptq7AX!`V8>hMWHq1zkkcop`7A2!JMS1m+FYN
zvc+|M&6_oz&AV>k=#xgAR^4=)scRX?nrwLs9D|vy<KFa_q*LBZ5-QSIJoaY(dY5j6
z##t=<DmKKxKaAJYE|zd;XnyG@LR3i8dP!fYaSe4cck5;!1e0z(XZyjp#w)--D>C2v
zbfX`(9yhSS$GS83%T6p8lb+IA?|(djf3uH)QTfj0fWhwB{t(99#f`y-uzIqe<a*$i
zM}n(A`ByRJ8I#Hv%V?j+d!IxGefy2$+)%S=GAk()!{W!EIsQ?`H9OVu1L-BO!J~oB
z3uBT`Vq#+5B^mulDn`h&8v{|t?TFpsJ!iNVitrE?c6<Yqlq}|r#%;TNz9&N|M`Up-
z209m)feHt{GjSl|NP+IzUZtlaNj0EYJ3HMRPE1TtQ`PA8klbA@JAvjXE-r5Qyy=|#
z=Ai)dJ^6%spGZBt6b`W72AbrerF-vu7B;fx^T$?zdLACz$_vUkGjE#I`6)j=ck(xn
z&p2*7cm}{|#^g1KJodF;%{smV4nkmwI{Ao&n*FqE3@=?f_RCG%X;n5BA#WOG+Ji{R
zIvV}a-WR(z<8?R+K>t%-4rYjpiy2w^%|G2rBGuK^jSl|`Dr#0&RRLWRa5EjY*uW}d
z&mxuqWu<xa-7*ROC$rq0BTA9oBiG}jpq4NZb-1D*&cYbqPrxy)>$L~`vr5$SfNg##
z_2Y)QhYJyLfeSsPW*GNwW^rvTP~Zj*XW*Ui#>-I-UijczN^P?_z8q13M7D@hd4+K+
zEmlIc0v;5_^pR23LO6wO#)S@;SC`XcI|~}fmts_$*}trQeR>ZF;9wb)Gr0wdW{oph
zZgcb|n3YAXS{Sj;y%XyG_jos1Ze~atWt!X0grmt+U+lQxQ7%Pi>bP^)AN76V&fb5P
z1b^9g*8S7tZOzIkDa|*(8nr+UP|7d9iyefimB1ns!9Zkdbg2XkE<g{fmwMz!Iq1^7
zteV*8!LMiEFHX|SWBz^iMBywFx2fD%*^Az2nP++Dlo#@_F``b~DX!aHJr6!0E$*4*
zAC28=_fuQ}mhDH_beya^fR-nH6=1?$;^bSCgSXKgzLz7hSEMq14U>v^VijHFSYcq@
zE$rF*<$&CUSXk>Cx%Njci-Vcx+W3;+=6uc{SBlp55*d}dSW@BN4_h;<&i?0n3;HsD
z39k`2;M^GryP2;tIHovhudQ9z{=2_WV^sG71wQS&$%T<g<=0TtXjEF9)12GYQBSYq
z<?jG_^Yz`!J(8bqohx6itACw0ZnZGzFRYjt`0s9QUf)YRU=6q)Qc<<N{}3AAG~X5s
zKkz1ZCn^?U;b4dC#|j)GWa4&rmz6Hn@>Zh#UDYM%^Cu=JiLXA$pj^YX-h>;JwTE8L
z1V3V%iBqLn+WKRXNyDR#M%Zfv$zq`KKbKK|(Cj^T2#DeUwMAKO^db(&2gLaJ^5WR!
zgXBjV*}jyN6aiK4=2AoIk-F^39UT%<;`-BfP%DUr^cPLiNoOX78SQzV?_jQa4;%vi
zRw~xBL^?;)%D<o0RT8YT`kc?2r4p=ZSusKYfB(!Wxy~ltO40IVbFiL!BE?h@M;;H=
zLO!L(V}lT2uu((R&7yryH{^16)awUR4J=Fr7rTrCI&l#{jFwLBoJS96CFJ<LVw{BQ
zp&OG;{a$H3|5l0YM>5U2>K7c`+Q<*c)B>B5Vq$&*H`1?^=FzQ$lPE~un7uBblUJ9=
zCTEVBv_rdDaP{=O0txAh@8-FTQNB_{V?n7;<$1EM{&gpyn&7Q~?f36Zy`eRUd3$?%
zT*cnykj~sFRtypeBwhMY&{2WgL4b@p`)iBEa3bSEWKodGnRPtF@V{Hhf6SwGy{5mT
zH$Xf%AV}na#Ja<S0}2WXaAz0aZ9^Th&+}Q5p;5{0qiyZ_Bjx3*i*$b&w%+QTi?NR4
zL85sr^+c&J<$PMT%1cU0o=)6XJz^y0X-PbQ=@0zqBlG3jR8Vl`ros3J;~5vcj4X7d
zU(@vq4)gEPI-r9Fzx1TnH82L&MAX#O?Pl*Gzeg^OR6~|;^51<~ajdDXet-4SnUi;*
zr5bTZc*;iLy*fK^#|X%LA*9M!{6TpeZC_Cb7mr4m-^ZR4@?`^cUhOvzeu1LEj0&x3
zskv5$kb8U&!`beQ3%`A_tuH3fYqSI<qq^&*>WRqr;6;8L<s^fUtbZ;O)pEK|%3dK2
zbOS-%dd#w(qB))StFU3vjK&w)5#^v-)_hD;;aArA((r-QkL}vpQ~p~d{7yo7qgAJw
zt7k%3b0xotgY@%QSTk8@wIpb8{<+<o%-7c$#RD=RsFSr{S8rF9D;G6>Yw)OfHcU#z
zdv|`|9?B-;G$zl^^zP?2WYTPXR`c1|iEymsP0Uao1|)p3)Z~?)OD7!zC7V$a-L=uf
z^nxyoA6TG*yl24QPJglXb+%Zvs#jZ@NAs|C;k~7Pv%Sbm5{idwp9)|Wb*g)OoCZwO
zs>=6*&XXj>829%xo;h|biMN7uuj{qI?#euqI*Z}7erON(?YYA21#B55hXe4r74a6j
z53Leg5$pU^a1e9UtOEj8^zTmAf%JL}Z%<bH^&C)NfP|Y+Mq^EasEc;3riuO>x32DP
zlZv@&pSgUoZv!MdD~ETFU@HOSegZkQ=I+@yj<r~xQR!d}H9rhn$jEXL{dRPzCA@~?
z-0lHJOP~$!wocmy==kn#S>rtE*TbS~5G6Jv01Wx=9Wrmfv8lZIEh_~t*CR8defo_D
z0WzZ<93dq?_VtS}_s4rfilmmCpk(fyw`d}bqt&QmZ$B>JS6$8?@cxiy4eeuNVb>G|
zb~DciAv_ijCxtqUhe=n~IlJHh0O6J*&&?9vh%FSp%6F<HVoI#!E1iaC<r~|4Y^azY
zsN_ywOI&#;^uvZO8oJ^rRd28#aCg{jlKNxp+@CMwjbphL7Dh5u&iH4re$)4OR`viw
zlH#~A`|-{4l_4{>1|AzoPY~QQG`26Hy8YjsfBR6`F}a!~uYy7adqmBv@zt<63ZIBh
z{!F2WtNPuWTKPE|wTXgF_AIE6r)N`lx1_MoO5!U{j~Si8vR!&0OA{;!X!nF~zV_Ky
z6Q|sB7N_Dyx*x1>eR`<FieBPWJNgJxpr_F@dZ?7{VFc&@t;#*6?oZ_|g6u>BnU+oL
z4#g=rkg+-O4Gm&g;a|T<5hL%D+aBrSU5|Ef=?kjJy`B$R$4;t(UX9mX$L(zoz$1|c
zrK!2OCL(Kv(0PJbf12`TNkz^3`EUI@0g*$N$3|NnvnNL{*R#1*j*W&2K#7{Tb*cLu
z81<O)+_3st$S~UD;l9`Y2TPFv*%tpiK$hUz=XLH7>MyA7Y*`}XpAN)B!fn-TINw<5
zz1{c78Zb8ed;Tl0mpdSngTLVOBznT8Af#nt7A^$GZ?}_rE0EkgC@5awk;3t02pNKq
zDNMToC@#XnrE_-R>%0BHqo>;u4?#g`*+L@x6zv2bqx9v+=c=ZV&2v+%+03di4fdav
zjAF}kxzdMUnn#2T+aHnH2PCPhsro{ha%Mp?(m&H5^rLkpi{?hUJrGD_$Ay&{ytL)0
zNLEaznXDjfCl0+d@IKskhmja7>*zILO!MuN=dn`lZx(m#Ck?tbrLDqnyMZwa=t}W5
zb9bVDYG4v7sUuS%LQJP|7HvgTYmo%MUabs#Fk#V41%>tI&RuSb>hkeV{trr@8&gq&
zc>nAriKz3>Ws~FbXxRn4AUCV#R7`AP4H|_tfo+^S2khdm0WSOX;*+Cw9FcFo$VAvk
z<hf1koVO+?x*g4IJHFOWE%IZa1F$dXA;48ZTnSaGYD_vkB3h6-VyLJ<^-7fqCmB2?
z{^9dyHKBqjJby?K#ZZFGaWm^~Sx_NRrStjDFIzlo_ih_!)kI*s_zT1sj*dKkqy>ST
zy{0F^cP^WGy2ZiI3tB>%_1g?mw*UzV2Qg~qFHn+?^;EA`-U(~)QL^%0!}w~uhC33%
zsPOW85y_0&UF(~eLxfAr>12GD6{>JVAUv#)bx~%{7+$?pTT6E1FLI_KL=g#Dkk`*u
z5ieA}erbAve~?8ysBW@WzIGY_@>k?E0oG)A9<|Q}1Ua#=HA7S=LBG4`T*8bkAx1%Y
zX*|6?LmeTzh>Hxo{ESW!D~I04B|d)qq#sUj%@(GyvzImxN$$lJ2(H%Q?81K?#EyZd
zR#;e=Qdvn7GfGgn-|h?I@Q${MA*9D&;y(5c!f{h)sMM5l$cZVrm++K#xof5Rw6Y!V
zm^3>n-T6eA8iF8*(Za~9XUjQi%or~h_J8cUOKiiw&I3B+z6hE;5n8Hpr7()godk9O
zKF`}I<8p2?`$K2pvARl@$W!lwxIDN|m@CKW5|E(!x6*YXh&?^?m!|q2=PgHSQTr6p
z?GqexcTY8(`%?{f3G6@9<hUc>^7ant6^kvllBn*S?WoDOVRQgFMpo8y$6q(5N29yy
z-dg${Un{+?xd>{K`6BbdYiwL|jpX6g{^nzaj`J-@L0Q@RWs6|_b|)WC-(I$IVgLA7
zvT_IaW*bhvPDQIVr~HVV=2HdQy?!A~w*(4u=POABaq>O49iBlFI$nl`;M{D9y%-$;
z8L7iw9UUy4IQF@8w6_C-L(P<}ZRSzY_4`bTx-Y5Y`MgSBf-@_1^Xclku*_Au_5-Np
zG&KoS=vkz`2OU_7xyvX^8Acd%cJAxR@KME?bidEBT-1ACE{!C_!GjEMAAw7+7NNRS
zw;Tjw(**i)myxm1HapVgVEV`Yf|2?7Zl#Sv^N!)1knnsKjPF+Ut>E}04|XIzLWtnY
z)k$bbp>4oplY$^3JVPP<Y^f7(J<L|z^YPO{e2n2MJV@WKKt5j*s!*<DFF~a;aGy@S
zJ2WhFcRboxD%9iHNid#G=1B&M`asVNBO|9=apoE@>NHrNwy_F9aR?0^+#AIYkpn#9
zD7o!)K5aH9%_Y72f_@)uj|!*<PrnV|LFkOmTf2b}koWk3bNgJx90SEIlM)%(O~M10
zBJLg-!l<!6hnM*GrfX95^=lxgt1L%T1BqJ&0bI<#{UAC&XK?DhYh_+C)IB44_8CP=
zzmmgkOD*uwphaiX2e{iGW%kbq06C?JMri=3@suSZw&ntdFN=(8#4O)0zFZ}N{b)ze
zS7xm!cU3(=C*7Ud{n*>X7+C$Dka@u<$aLE1*qPl{m-MK(7<c-e&|NU1e<B0mDFfko
z0zatk%}9(r&%Ee<>9^O_&Db?o3%{Khs3~W=CSl&qG1OIh{d#WK{qfVDkrEh6i~<m$
z=*N^~P3g>MVHnEqTPkKOenf=3xhS+qT&(Z}_1?<tzj8b|YEHjeT;#@OC<Z}pIM%O!
zwig;qujg_XfQ>d<v51!VW!9nRvIv%V;3Ea5TR8{&tAXb|+=Vp!!KB-Jud1_%&Gk~j
zG*T~>G6oCTS?KDO>RhDCc$o9If$*Vl<~q$1d3a2^tnUX?VqZ%&KkxWJb;+*=Bwmzc
zTf9;I8P2;JmLyx`F#F}(Ovv{6vEy3TLz#7PR)=aX5(G^py7A3?$!drJ*N_&=2OvrR
zY^G1;ZO%c~hDuS{(h^<Tf|s&m7ruJkST_&)zjbGCU*9F}Ne+E{`%z3Xi^w(2YY-a*
zXm2HUH|6CZ3hCnQ<3TcYYWzngz!2iIVTzX^eSu+&>~-|ZXKmKVHOtm26juqd5fV2>
z&JU0EYo|-@yKvTRQl{ck8_?R3d~%FLCgPaCB%iM4-M+YJ0H-T-qQ1ObQ)FoIK&m6Y
zBjmZ0(HC(v<HMg~l<j9l6<*e7+}Mx*p6S}VaB+UDGv4vB-IFp6Le(I96KW>4CD%o%
z0P<yK(9qMnm}mYzFXR{nNK(w8Iiz&l7}B%9X@!IM-xl()0+v#$e*_28ed4}y^D^in
zUcWYag!3E$o)>9;HRU5dO`KMVVm>v=WHIuf<fRt)<*B-IfEmT>aWe4deZs9*<KKlv
z1Pn;SJisS~vT!v?K7qg!lrN2*oe)g|mkDC}Eh2Rn=}2%7F9mXpYnp3o0UrU>ms@|0
zS&N`{KuqH#EE*eb+~MtVQ)!}C778tmfI~J*VWfdiIn&2Xgv(a<(OHDY37;NQ3wz&P
zp(`C6U>U=EeY_U9ru@#)QQ!W!=ehb|99%Eq5Pkvq%3))pptZ$THcBgj3w_gk@zlsB
z3CPBQ+ppWLcdqv_x3=EF)|*gbHR^1$AHNyjj(z?5Md0K8^lxOQTNLDy;RFlIvh5XD
z&N<FCM9$gi&o84f7BU-Zw`D0(K_n-!O#IiXI<2=Ncn|Q~A23uuS2?+6PaK47H}x+I
zO@Zd#JGZ&H`C9S#A?6MO2|8_*BVX2EcDH^<wlu_p2~l{b>iCynY*8hMcrV?*9p@z6
z#vc>nliRJ;Gig;1JZZp?*ZQAU23mZ$W_i~9Y@KGlnfid_YN*o+LA1K)S3ub#vG_Pf
zZuM?+HF(mWVW^z<mSE{COQiVZ+CuEAjlk86pZYeoYAI<%M$YT|Z_9Y7p_d=vT<};L
zQc*A%ubC4FpD}!I{jG#3Br1ShgJt}V!ijePNbJ2lJtgY?07Oz&C!9hY@-f^SKo@wu
zKgd;8{)P(mfNu&M1Tdb>?l$xvs0m9$P~m_lGp!c?>ew55t<LOIcPz|?-^+Lq2#<Ny
zH+ymz68Rd}$^wO@-s1uY>{+~UFA|P6WB4iyALyTGe%=a&jsV=0OYr{b#N+$##FKl<
z&;edI?1!Gu+kUn0_*BO)vtBj7&s_lyGUAh9dfdFM+cEMs$R8kUxxezAC?MJ8%mCW>
z75pe_{XSPR@I7F#N9(mbfI$@v%75e{_b-?WCcn%7a8pb~WScBl@cG=FeAy2P+_@6j
z0kAD%P(cB`ZhSY30nku^Cd8fop^Lz9c;NV63J~94zoz<xhR)FN3my)_w<$Z%f<LTp
zS@Hj9y2`Msx^8>umTr{pmhMJ6rIGILl9KN31_hK7K@^aX?r!PwNO#v=y!ZLeUmn4;
z_lh~k98t_qPbL2OvxbtLD)x9WLnjs45T)2(+nhFbzl|~`F#hVTO@=nPQ!A!?T0CH@
zC|ds4CUp6@d4egAD?GM|;7uOy9D>;3G;`z+I*j)AvbXjDK0g2cVhfMFIx4+_P#}k_
zUhaTKS&Zb~1XfwPl=Tw>L>yt}+ml@$Chs;Iv1&<<gtloz@y~J&Ha*jEWV}50F~koT
z<t#!Mn79iN@jZjgTCJ)acxvrB{)7Rpn&OAl3d|6SdBr1<v?sI=h+(!IF&>i~)e*Mo
zY79wn-}-yyhC|YoepDKfa9fH*D(X;6`sIiO4zVsR&;pYnK=r9W#Amne_=H)$rTNL+
zAe+E5SdB+vfh}lP%q*_D%3tz1r_h0e=zL*EJP+UOZwUXOU%^EHfs!SG`RUa4#I65B
z0IVnguH<!lTh!%h5<(#;#I@pYV9;3F|4kfIiU(UwJKXS9R^&j>)CJxezViF(#)->7
z=Z2T#bMDVkI0jU&S8dG!)fW!D?pl~<H^S?lvQ@qI=;NJZBNXTp!Qs2DM!9p@Kqm{}
zN#U`s6HRjrqWqrfH@<ta99I*NTPia9|8W6=yNl$z1Zom{?7HIY(x60Rx}m0>;;Pc#
zYmVAPv$KcK2C%ho8_aZLXP`v5@pq~osdLD~oZBACxPo29i@xSg*f!yxeDlm?1JOrw
zhsV$7=l!?m^V2?luP&ja|BDAbPrfR?p`CFM`6$`H(68V+1(ZfWQ3%j${uM;{!#DQz
zWBa(;EoxPR*!^*r2?r=lV@s>ucj-!i+xf_dGPtm-@65&@Hj)n$S%wOPeJ2mRR?7(t
zGvC)QcznPIxaZ8?1wg>qEhTK@cCPL|PV|34cosf-v)Qzp+UsRp7_08JWG-?-WCcfW
zmX^c&gR7h+;TbqE87n?B$<!>!U`NWNMysO_6fY%SZGx!)v$Q@CJ?RGllo!ZP-ybil
zhQ6UXH*c3Es5R@n_4d00zPw`p9v>vqG{y=<?oRH5qV;g??B*jcgM1iudrQ*_1%c=l
zkdl_ld}#67x!bXd(N8n4r!eNLvx#WGr;#uINh;(@pu`jzlj;^n0vZ`y@miY?QN-Uj
zHgb|;^>781TyY1=7d8*8?&M+HCTz%FzKrhV`bOncU0dE^3YVK)QQC~ZEBBF#CR!`O
zw<wg?tAd-aqh|&My+opH{-AexsCCe(ZgXn?TUs3l0u_<DFut@pt2x}ZPE*zd*`ImN
z<hlaR4?kuB7@fG}YkvSZ>HX;FQ%zY-dZ7@L#);43Qo+TRy+n7~ed7iW&d$Fi3dY`u
zd79Av<YL8_`pa3EMY{@tnG#l0r|1L+7tkDl;nl^+0{<(rdZ|5o6L`p!%~BF;fAna_
z6`;)@wR@)EPVDReGOhr&2&ss~0FHwkWA1!3!>pm@qYKk(7h3h;mMu}t6}zacG2jj?
z6p44GxUM8vqbm1p^+?SBnq#;i!Vhl}KAt<wUo^k|50~8v`fGB>ga%K+!CHa8?~vPV
zcj^)28!k|_b8BY}zt{O#1Jf4sd$cy~ss_~pVF3XFnBdGAE{L2`Kr2bZKBwEA`#w5M
z=<Di)^3AQSPxW}m&#=LuF6uQcP?ILGM+k%$SKiL*|EjrWe$9b~pdziquJIB8L);`N
zlzAPCR2pj;%TfRC0;{!CHJaH@#Evl@)d7sifAOL{4-U$`3%)HVh`^VRE#Vgw6ciEh
zT!wLWv{0XL0dd+rVWyPbK)ZQ++kEyCOVVFrp|+v|T=|rx{y8E)mSAD+x+zx%4xJqw
z06R%_*+ee`S*d7jLea5ua+`9I&!>0;D+vw>77-nSHyG~cO~f4|Z(prp_c|N&h^zOr
zMCL!8mcbuwj$Lg$=ZEZ<UI~va&d*;<wd^G%Bm@dS8ROc_u%v5i8*ubfzmi^8U7)_q
zY08LCT*@JpvVq-nYeH_X`naAkuG005&|4pRFyj&+TKImJu+8LN5~jp*Qm$)6rdVix
z2u6fY{1r++wa?kRYaih;5GEsiK6RX2ky!xUQNX;fkD6=lvD<n>mVHsJ7NSUy)j$0`
zh8eP!j>T1I`vSh@T=o%6vfilU!FPa(g$w_^?d@l!Q*|DqFO=833?Ka#6fB2Oxh{Hh
zzOWD-r}W7<h)8t?PL8UUYcg7fm&!1U%Uuhwm}RLOBJeU;%G-QBWW|vL1YPL<ejETb
z14T16M?572k`W-<uHWOZ_d0f4FMqZgjm015`EBCzfB(?7U(A2<COJmpC&<u@mvs&p
zGHUhX$yN%?5r&l*KIKHe^PuykRex<(j4I^CbKE825|P2#BUA+qi6A5`R5FxEN;|#y
zSJW|u`@WkPS8~aA#XEkyUCiTx^R3o4Q?CCiAj+I-P3Ym&t|w9!$gT)bXlZTRzWnFD
z#VnH$scU?3Ha9IeGJ=|Kr#t3j&En@NLL-jGALA^ee*X3S)nkOCLZ<KW8c@yptBd5{
zZc+`%FJAbQ+9+84#sBbv)==;ZLauEp;3c#>1!X=Dwd-raGOpn{@B*6b8CI%gH+R#@
zM|+H;x|7(&cYp59?IQ9|*YkkF6?80fxQ9;ObO)wH&B>?Wx*q%V5)xD5A`>8i)yT6{
zsOkJQ4XoMxF=&nYQ}z4h3773JwmHD(sztMvJ!`}YP{>hX+UNHPp&uNo1HjZV9R5JN
zn{_IWu%N%yx?B~s17HMydwbg#WH-t^@lpvBPKvI<kxq|J7GV^ngUd*Hj+sT|l$ix%
z&e>5S2@)JKW~}qoiSTDoA}|9Sy@@B~1D8Y|09HN4taO+AC`vt0&U}TF1Mt&aO@zha
zT_X1N6$D7){aRPvIE^FBArH8rLE3IC9noMLnMf&^hXGs*#&%*D!pP_?jHV{D&^C%h
zZ0m0R*YRRV`;GVz@wnfx_ho-GXJ)iYr(ZTcalc<GE-KT|VptnTo@8S2(8tEIJymH9
z+nr>FNGQRvUvUY{Dlt|PnFHu95}Z(9zkUVJv9K($LWRv!9v_?Dj2HLgFu8N3f$c;=
zY_yDlk3ib*>9N)A#MPS;h8KgG;aNynvz}a6(9ENm&!5tZ6TBx4$UWFxQu%=uBoO;g
z)lV1t;W`_d93Ea&74FXR9UK`{Yvaj0`wz)tGJmDH?tzDYb2#$GPtM%#=VB&;fBR~o
z5}m3Qrf218#Ckt^<jKua?y004D=mBY1@E-i^7rq&?xK#j)t~JAr*1|OK1DpElj~qE
zIH*w5Ladx%({3X0!Le?3^B$=HrF0rh?t|);yZSh?l@byY^ZmT9+uDKK%(Y;<--TV$
z72g62jx}MTILBv<%whqlsjQq!lJN@TJX7Z^cNM0s4_gya&M*+PJt0!k_wU~axf@)7
ziecU5TJq6jiC?V*7D8k6P2<GYR-txHepNb?>Qh|S?CAAnEEvfGL_URC*JvWc(B6O5
z*w~o91guX=c<7SAw<iBItj-7Cu3R@iYsc*ZMQPidz^!IwWLE%0JR1sJEal)}gPtm$
z6EyF(InVU3d{wdkj1R#@;*`}=zhDo%<c*wx<F@-4bAb}wXxU-D;D~ZPsNQ`G=;b$F
zp&TF5Y3S6~+Gt!40@y=C0oP`MCHQxtbPHBC85{&QfnMst5Nt94*C#41H0`375P!Jf
z*x&ez(x%`rh>!FS76OC7qDEt`K*P-bX^WIUD(4HXMvnr`{l^!eY%lz%(k&B(nvqM1
zU}>n%*;QqRj}t+6S^ac+E`ujS&c2pUV%q(^mZpk5RBi_KD1MCw0*M&TMFOZVw{mG(
zwQc$ES^ZYjIIQ@9I|R(-61d1E-P|59c(jlpd&G1-Mt(<p-0c(_V8;NlkNG(G+Mp|`
zs3;~Os;RQp9c{v{!de^{si+v8cJ(RX7>FzrLmgFQ2(HEd;n`||02*^(r}l747I0qo
z8wc5-nJ+pDftk*KDSSq5?(fQU2m*u#9#Au-k53404{uXrmox)4e?t8QH&c6B;nQ-w
z&>I+HL`B&T9Pk95`oQpkl6cyN7^!WpC6gxl7ZZs&^6wH_3RyB_mU`!5=<nBX;>g$9
zj1uju09#@)2xn-C9<FoYzoLhjh~OrvW>j$mxHhYYzxzc(?<&OuN6>5vjHQ8e_DvVL
ztp9Ij)BZf)H`JWsoxf$>c~T{2P~L;R5sn4$x;v$CNw8Ju>FLGd$@NUDtRWw4J6_Y3
zvJAO7I*wqF{39s;z-J^J%V`Bcr>qOvPr{FHI&wxhBbmBOdSOAc%RItu83&jlpyVul
zd~Sq3X3o^B3%l&Tgs|8_YP-=y&%Q%R5yN7yv0<@LbzcNN&yjTcPU%etJp1A)+?a0n
z_t7EzP~gF}uEHLsrocLV*U7yi|Bo5xZ+mY8@oI~&ro9N+i}I;28iO|uAZ*zChbGR%
zvjLEo*I(`@vz(VyfD{0@CVU9H^?!rXG-~D^Vz`$}a>bF??;i1uZez_Nzb1mJp8I{3
z5Dw&?Wh0%aLW1ChVgc?SibVN8o11gMTM8%-$bJ9P$V+m3-WRs;ltF;llo6l(hJ|HF
znq=3nh(&bI%Sa;iF$azi?^aB@-FfY!(y|jP2yW0O^u>rp-fFw=Z1W36zbJRuKi#s?
z)2VUW0FU&i^Xg+i-v)_=?f|DmcG?$P4GD9S;g-0hagM~6w?71;i-<i0UuOP&i645g
z6K~6((E=+j8S}P9g)gECvlc53Ye!$|2Z;pJ!xDMlc<}0ywA$CX<pIF8SjnCBn<x$z
z1+zyWo%fg)5EBb3E_m?}_%9qLtN=P=$J48eJ^WX*e<)ASNCG7$>NCo_p5b{R>$n?X
z1_!qE^D0c|-Pcjrsd>!nJS~as!TcWw1uGM6$A7erxLH&6a&b18!27Z;$SXA;IxaVR
z?xnuy1RDiJz1&8}Zc>;LMSzOV6njwMO^Ci0rc!qj41_XWcq}A&i?*H&f*j}?uc08%
z$og|jkC#B2`-}@BJ~B=Pk;Wr-RHNY3{AsH}_jBqO7#KDAg?6l+9QUEbl{4+FDbUGw
zt$}}D#4RxAFIqUKZ8r?n7*uWG@F$n%2C0dgC!H`Jud~VCvRl@FN4tajoV5iOEsQu>
zU)vF>IWo#Rw33amb6#x^Cpjw}zG!FUJOA&?zbl|#bW6FhjN|kzfRkJw3v2`4th05}
z2F4#@VY$Vf34RPt^Cv#=KZfMA00vCmmicorYYeH@W>y9?6~GLsYAArBP=Y^i@!Iu?
z?eBM?J|8O7kfOQ0hlrbj7nI%L&g>iB0W1_TF|o0_;hS&2)Ixp@ZRdbq4FduIrYHXj
zAI^zo)~eMjj?6CkscGW!C;bC<B^WWr-4g_Lt@O%1D|~1=(Z92)t??qnP$f4Mt-`|5
zVd+Gr8?kNh-v?JZ65%*FjXlgg+Qdxz?OT2ocZ3KO>mYtd&?Jl&|F&Z2OrXr-A_p~h
zHp#|tn4fku4H#Vzk8{q-z525nILk106v_Exec4CQ*U-$DgluF1Z)Nz3$_nXG&tgNW
zDagy~x$LLr1Kb{$I3t2Vt1r7+3d$_sv^??Uous?%R=L|i7Cc5s#f%-mJGSmx#Kf-L
z3b7!_AAS~dy$*%nOJ^vTL4=hg?V*!@D0`7s*yBxd1)QQqJzv~^m5`>_16D!$O|sH$
zM{|3gS0kt)6l3n>4^|?cBSMGFh0q&|*NjSSFpK@i;ZL~MEW8b}GZlMpRkc>dV5neY
z!)%Bl(-tp*tcLu}`}p@dnBM-eKvDLi?Phf%XnVcNxS*kEs&q!yS3Nm7M?2ShZf-89
z%iG`dqfOk6ClVklN7|27(vvh;lp^dc2HQI;JI8khD$^@Zz<wIqmLn9wTY`n?e;?LY
zGz7Lry;>+Ru$2q&A9z}|D<|ACExixi@KvGr+!6XRGjH$nR_UA?v?d1^90<ZD`V5Hd
zs+X;Z%||6?w2T_j?f^~ZZ|0j@;Kwda72_BJ19ur)1G7h(odIyg&3Yem^RDg1gHn7#
zsq-*3ET(r<XDlXVp@pbMx-gYbx;q!5Z7JK%ow>8Tb(xD6{JBvlXGN{n&ZKwx8UykW
zA_xWZ>v@KhT%p3#3%%#7pFQN6pJBPigu?EP3^3Pf&jKg_x<5`Z4AsRJ>$Q>hxdNd-
zkP|_@;=HLF>R1fs+uwQhypd)stvoxrx&wTQLR-EN3XoO+Zh#~AW~vga`knJ<Zydn0
zS$bhSdt8&B%Q?H_0W5T^|ID-#@bzOreAX@9gcA@|THP5xB@-w`%e)#X0b#6SLhn6a
z1CRx@5e>)gY<kjn4|CKBAs<zL>}Gqy2}a4J(13XpFsR`s`SPR{ZAVjPI&n<|5$`w^
z6*K6HM>d<QdW4ciu14T;dFKCJS<)w63>#;nqpgH|NX<G{AFBa*EQxr>5RfYPn0RlD
zsq!SW-$yswOh+ngiC`U39>}Gv>3vQ>zdJii02LOEw>`INB<i#Rb>#(+8}a&TaA7c3
z5_mxdUUw<Fmix9ZJ3W1vHIBL-jfOb2kYnnR_4NY6!BRI;>GaYllaaRCE$?TCFV%Tn
z4r>?ApAEj)CDs<!``Rt?D7lGLj^%u@`&nfFscov+yD9zF91N3P$s#vDo9a)w_?Nt(
zCVl^pYe<T;<oEaF6(AJ7BKu(6M-|WcapIqD`>0;vek+qSj2v=Sg|@0=)wV$nx0_e}
z9a?5&Y~oB?c8&z$s&rS{`6q-SZZyt{T9XXl0&nPO{*dL9zP))hc8)6|D&BobMgMC!
zU`>r@;DgK37}C>o4`tP@Ogj}mx;dx6@>b@dNe}N=eUOUAr=+1fp+wi3CMwku@=gdP
zRK?_W&4o6dnTjN6!|_C~LmA+pWY|1)o!|Q=oGKSOInYBujN<|3x4ip7mr`0te|7Es
zM&=7_Yg2-~ZZq@Fc5GdjycAkX`|yK|9dB?A5Tib?#<{*{YDfq$U?qtUy59sNJCI>!
zO#y9oc_L#4W|0IlcNz+O;fJql3h&R)xnoMk=-2Z5cnopYV}BW{tXw_Feq5hz%R6gr
z6)_+75%%hRJnnsBM-Bn*SztZ~&EkE!xo%4gvmxRm!$#vof@N!}tJ?@i+^$y(W+)aH
zpWa`Xm;!`i)+KydMBqq!^}sLc_G1?UTlDuX@avqxwP$rrO@!(7S_d50RD|sSGc6O$
z2HnyNik7(>FMInv!8u<7nQ!gwt3S)hWImkXxXT*qu50$ozim0M9?Pz^C{5GR2{DXt
z4+Okr3S@%NZJ0H$qZd$r@TBIXV4jU;J^~I>{A^4KN3TyoCXM{B<(dk+_doKXHvn#2
zh2@h29Hs|>QVhZ_cF->}#89Q0*IBS~4xvw>mg2hQ`9$}^0;`1$2N@@ikzK}DWo4{Y
zbKzQ6*AeZ2cmhPD&bdyF4Gmy^2Kta<RQoEYELpQQRDX1*a_>Nq{(~znBJ?;;JOkx)
zb}6;bO?5U<e>w-TB-2c7r6Ph6<QJ<~0#GH+?{b}|l8_R-QV%!;6jpuaxC@pzdCrRr
z`EIk_@_O{O^VnM0He!46oHeO;;~Ikin-bX<qp(sgipFL7YiVlrW@)n}ddlrJ*VOM=
zNn8{<f9&B<6dSVKVw1pOdo_vI$`*Tsnu_v<S;ez<JVX+fdkD@l9Qwk+oU&E#G;(O7
z(Nymr1(UzxkNRT4bA;wpB;J^~3gPZod0DtRYB|N&N&bN5$-eb-2EO4SjArhpx%rug
z)*k<S&hcQ$Ox*2ni$>Ltj-D;)4+*HI01<b9Mbj_)YQwCR_A^cu8siD~$Gi1Bzy;IR
z@^o{nOHxIn4j4NFc|1#}yZ-3_+du3bWd-I4K%oZg?F*fCp7cRoVdQ!=aSx;W-2w%L
z2ewG^OO|A4+es6C%v;-7#xcmZJZSk?!jZ+5({l4*gHXaISfZtG^)hPeZmR_}AW3CA
z?H~eb#nhQMS0oqcZX%+*bFP*b?wTrP0x@U*fH)q|E3in9R*!#XW?`+5({)H04=Xqc
z$CB=53B9_eZo{PP9vxND(yCtoV|4-OJ@7US?+3isIjwDVyoZLaZvm@sq&3xQ&Y}ma
zIMP|;d11nEm`&lSYqB=F;gFeGh-<U6sw(2==@$LQe!^fo#^!>a4ji`a<?*!WT_E4#
z*pt5yunKw1k30`$)W0`0TnKc!kG_Ky<ZWP7QBx3@A{_OFx0s*_46qNd2Xn1z_m4An
z%bZu_s(}=%KZ>}fQj5L+7DNyPyy6($W3ue;^GmZ_*zQESl9eRYDXBX9?xexT_6lNH
zKmfr?R&-`>^}hH8C^kOxK_-&4q@}43k2EBkMaNJn(a)Kly}BJ|=zYCY26jIwbDOd<
zTE-0x96u}w+H(waP#hNqA@{?!aGs5w-Ctl8g#f7$SHfV@X9s<CMV_Mo@2kTLGBv*d
z@owM~yx?$IQcKIOz;3+MgJ9kt$6?tB!qH;00QSy`M*PfWZm0vW&Lcr1)g{YNMTOh#
z?9F7l<&JD0>nm`0xPb(9`SypS)WZas(Ay(FIP#LYy(Xd#KsN;eKTEM?wj?qWfco~7
zA?m?3rmCV+$Kq~T0#cvBP_=sbD8cEc5D~ic-(m@xEt>umZVlIPMDx!mr%X(^N+=+?
z7;W}78ln-ISm7A-IY_Q1BMO+3Epq|d+u=&9Q0~Z&Q&zr(etco$GcrJV)KJ(F*OI`-
zNX@bf5mqFC&{T$<NP>Z3!6osx)r`XzA!~|bB7OzHr6t`Wj_2DClPX$R3V1ZHo*Fb9
zTq0_YLjOczGy-hmlWt!Bbt&ZjBJIk9!^6i%8x<^g(1dt}vVvlaAL>dL)W%g^!6Zp#
z8gL9Oh1Bs(v75u1Vku|4Zb78dSGbR$CP*C!vknOkrU?5N(K16wPn!l=3td%b#+a#!
z#IW~Nzo%+n2BS42hjgt#vV8+?&-_^#!EIv5b+2_d3`JQEeL!*)Gs)VSF!<)$y6Hwf
zxgTYWkcX7SL?wE@&z7<V!$9!;0~7ixw*irj32X@D43@MiX>q6Pv5!=&93%YD0w}P_
zBUJJgf$wZ^az%xRb0E*@o8J8$9jzO_GuJgX2DQtAEoOPv-Puwuc1n4xbXlk0uXux}
zo5H7?ChIm(!&?k^nmp@N9=3cRcW0POrvawbFv}x_C~>^Mzy%#)Tlp<O{vuL=(f*k{
zkEEQ~$>G3F0+<d0zuW6aCTVfRe)3Cn11c1^vQU0Py&hEwf5I}^FYlT^p%fs=<fiJq
z=ki(}uvWmDP%TfKsP!vQF%5wi$2$H!)kcMau07+IaE22@T*#otQ!s65&YOFRbYJ*%
z4?TKfNTq4|dvNHyep*>p?Z3%MF0##6%wr|RS3VFz_uYn4t2+OBmVD#lL5GtF9eA?7
z<4V{YUszdryiSq^R6Q(%bQbXmnRNCP>sE}`m+FS!?5JML<5T)>z2QA)H2IByi_2;D
z61j37*GNk%=&eAnu~z!=?4DmL#qlbeoNMDNka=RmEjWk?hZ=rq*ZcxGc&!)-`J#w&
z>UDp~Pqx|`u@d)YNiL>V;cxLHcHV<^A=@UDo&0sKQa_G7j+`AG->HuSIYxn1qH@W<
z5p=jR0SKNjy)4CkRTe59WbM*!uuf|p)#KkKIdO>$v`RKJ=W~l*aF}gQGv8r_Lnp`Z
znPE?5&50d7I?ySI4Q#F*p_}gmDGILS`CYXu56M8R<n8jBR|*YCa1+beeWs`c;XcoG
zbrLjodtwRu`udz%Tz=yVKz$G2{;cHHQ3yA+iHk0gLw5D^V+sSBL>>An5Ijs2(FOwj
z-i7X&Mej_Wva!`RH{U|1PX#P}&i*Q!56=mr9(rqly|~nbD>DJ6ILRjhgmA)`zWw~x
z86UzIxA_nVviba8wm@L55H{tCOL2@XRCDh}z+q}%!12`8l$F)v_%Hm7;p%OphU4qP
z#FjRM*A`*eUmSS8rIzgw<|xvX0Ma-*VkkgE3Y}keEi5d6g$4#2Z=9^9L#@UmP)VjM
zKGWD!SIGR}#j=iEVRk~G8eM?L&TXFJP#&31_U8DYZol%v2i{r#S38UFn3Ux7zvi~p
z5L+107FENWwsv41;NkHpEhmf8Rdb4`5Vn`d)gD%}*Bu@{#CS}y9r#D7<8gdQ-sjp-
zo^q1#9xaoTll#?ipi*An+8W@gHjuxP@#H_BjKyX(*Jaj7N(n=WL&8l^MS%&xm@o)|
z2rh(*6Akh?E9<W0^w7KQmqP&Pgh3<VFPf>*%v8I##P2SGE$I(3R)Hk^{CpapC(LyI
zz$@q=^V{>KZOo|%)4s(Fy}!S|zMel5hN2kbg)4RnoeA)zjoLcv6z=>bbstUFs9)IM
zO>rB&xxDn!%K#Hd<ytt1eYHUdSFb;i27p-8tc-hT?b{<Akf2y?@Ds2{`~WFN4CfEC
zu8Ktfes8mO{e`=i8&L~<SdHO94o?CZ%*1Pzjq7Xvgv~^6y(hs&vf3#9V%T?MqzvDv
zb?_BnsJ_Klo0KmetN>U8P2>us&_n`?qM-<JU+7XHu~its1yg{!Xt)kV*!-VAw`;Oh
z4K!6sgWWW0Ch3tWOo%PrC1x@RmgqddAVWpCuA!SdD^iae0ynGA%HwlPoA9VI<?*%U
z%H~nLblbrDn*v9V=seZ8=4N2Vv%&J^kGq+yWZ;dF=o!q~oF}s>Q6L!KPsH|LV!&B7
z$#l{+z?ib?t%A@HKxHm6FBCFQ4ip_gL4h>p(gPaQaT4TreVb_xOudh3aUbzl^=eZM
zqZ1cHYAX08#Uo!&ApW_kR>j3`uiDMs8!&K+`cKm1ZT@@|j$kF9*#e#2*cljnjbx7+
zso1v?QI84C>Hj*v0Lv4c|42G0;QY7LgAFF7gCZh_8qB-4eftKkr@%A*TiU`zAhid*
z$lAr-L*_P@$#jX6ZEPF{QU@cYBY{w~JkKsCX<F6R@7?h{g6yERUllR!w=eH~`FFxo
zG(QuYOZ3gT5-U@)AyEI_DSGMQ<?Rg!F70X;1(tdM)MP6pE4_<&cdcw!EL&n6gX3<&
zJ`biKNUO`?`cg^pW-(L6ujHASzAk<KVV=65?aai2mKTZlQ~9UWp6FHL$ABRWjy%G%
z8l%m;CxL>SAQm)l6q6!*{8r+aQN?xT&ero4q`qs{(ZvJagoz=^?B<9wK5s3_;nrW(
z&MVoLfUX2!nxi~#f>db%pgyhvk&qS=o<tD<OzxY3!+qy}u1y3%_KXX&(c9pGm>}j%
zUpf7c3!qteXVTAy0b%fkf!L_&wkuWwNg<d9;r_k~04^qxzaH5CYu9O?hfHlwOAeRe
zv_gij^W1~@-?5gWca2B;>ZC(S_{I1I=N(PKW0|pQ1<D=Y009j0h+<&nci@$|`{0*S
zX8Uo1pPxTUb)#zs23!6!I#GCCX>+u^qBa>KJC6;8csHYphQnF(?@ZwJnaS`ykQ895
z&i+RO_kBzpY?uSoFR-y0KEo&2R{y$`dGiGfG>x>!>TDX-j?iLEGIY4ihXJD=Ny{dM
z27GJ!v&c#Ibd3yqm;xS;jdrImD}J6`)MA@b+*PI;)aQYxRd@oBYdnwb-R7ScP(!vT
z8-6mCa!nnPR}rT53-=<7%A+@jhiup)uO9o|B?@S1toTV<rdpnoMWliD<0<QDuVW`D
zGPGMdrx8X{+qI?}aNI!<z!l0VppOHqem*`z*vHfa(^eyBUcE+bmcbYV!uh(`ET!RW
zCJrN<9Ri_+)#%)<HY@#LORkb5)0ZlNyXZaT49pn`AMkab;SpM6tmh-h-b#Hi(D%=c
z0oKHZS9Jr_x0fjM?UU!w_8pKhJm1MrmPg8F`wC;XPf*|0D<$s&JFoPEnhLgGJ2W10
zR1#@X|9(=S5y(+ig@j4dgyA5{m_;Sc7X=5iBw^`M5a`uXkz$#t(GW-kQD8-L?>H@P
zGpTOp?5RKt-j5xtj0L$a%_JNE;T>D%vS?v?z~T9dfj9r^)s5&X66CPvw^+2bnoAwU
z#^hwm(cNQP(B@iB?F+b3^rLw_IIFSc$xp0$u#ym(I9LDf7rOoPw3nJ<7n<yH;njdR
z!h}!Y7NnMvKHZFXNaHDFw*Plyw<)lz&lMdKjVpFMIV|7l!T&08^(^r8lQ+R@QI9uF
z!^R9cO$s0F-$m<*O4T?pkz9l&GFND8;Aa|+!DHA6B~0yj6zpsMD&$W9`JpK^O#+Pt
zcfBY({`O5qUxTnPWk6iX&2}bfWc<2I7MiUzOXkqj)KsDk2{aG*MIcFVkiCeu;W9)D
zPQT4D@OEdO>T*tqN_>nD7~32j86h_3z18uMAu-1N*<3~9imRzjh;hntHo?`V;3=>5
zhg-&G>=P8G=#UqrZftC9fNRD50h{6Z<CDMu@81zg+~<1ga=o<R^Mo>cQhWaEDOabo
ztgP(S$L`xa{U~FXvhs4$c-c~oCg9J=eyE^e==O#sje=D#G@_rXq?QfVqbHEs{_^et
zs7-+DNZ#e2Ld2-7@+;t|Inp6W2?L7*+hMoa2@c;gQD=eGo%-XobAC80@z$23zw29f
z5(;1VE{zK{V>#n^bn>JJ-ZtX1<|yc;_@q)EHBH*rd7&+WU=Et7PhaNt=pPWMN?QUS
zZvS>@!IMowf*}yrmEDz31w6gL@&ryCPsWreLH46CarblL5Qs1~sGgOQuG{1X4miO0
z%C}QabZ#?%HPOATv5_Ch_Fg4gTUimAOJE6ymz`)=TE<Cq$FJjC-+O%(?X=s5h5GBP
zAfmu%5ezEoWgtlW78vXEe>P|-KMQf#!p8$2VQM_swlyi0z|+jaqV~n#mxlAu;`5vI
zGuM;y*B`#Dz3opu0FND{X7$>JK_cuGXG35pAZEYcxuM9Pa`z6%MS_kQ=)Do-#YX!A
zfFrJ3Q=YXv$W8=a&iSKL@{<`Fy{>t0-fnF+9%9N2buq&HK6@qneSf)es@WkQ{;**j
zF4%n8edUx|RC&%5%x)WI=e)o2d{MUe0CQs@@=-~!Agp**mE$jkE^$R521^KqQkMM#
zZvO9b;5A`mZEbDt{gVHDeqtVtRuyJqsx7(M(F)|-+BN9o$*AMK+iA6o{xkq7igpyN
zgO+FfT0Wedob1Bqp%PU%Ynr{i#vBw78(r}RzF?SF(ghbExp;WADrW>AMty`wGv6|$
z>sMzqT;5;%7mxzSn$roIn@eeRH}>bH$B&N+V|+{r9={bg39!O^Nw|1)<S?e%lcsU=
zS-?CF>f3fi2(@M>0UJTz-t`@sEE3zffJ-bQ$~$D?O?SMM@(jHQB`%&}M4)s7I$Ga2
zj39KZZwn5h%9iOg13tpQ$(e&lj<GbYNfZgv=L#g}=jT9oE!z#!R$N??#v<S$y}H%f
zx!KviKBqUFK(?~vBB0V2{r+q0E7r=-O#H|H{(4b%Z)}t_cyTqAz}Y5OnFr$zNlWoD
z78mfN8Wy5tcpIMSHsXpM;Rj7;{(Ug1ZuLF0YG0)<X+5l=bpP#jmFL)d<bhHuoUo*p
z$dfQ($oWoKPRalG<?DhJj#mf@R-KL9G#j(}xunbF??n{8EH5v&v=q|Fw;gm6;Yv2v
z7%-)WVFC68&>k}C{16!f;KQ${>)2GUlaM6K1@MIHl%83c<R=CtMMXtx3&mK+2;^=d
z6j_CZNWp-uI_FuM=B@Mow7yr^U-Zda^x~k=v29JpJTTA**_16;VzRQfLP81x=}uBC
zP$;<JU86}$5=D#S1XN+r#edg%FqL9#Xl;Edlg#;7;i!7pf~SH$DbDwE7`jKc;zXQ*
zUWPIqZtpy(z#n}Gfo76*P7WQZk)YM>a)03sr%9oJyA`n5P1DM8wZ=L>EfR&8WT?hN
zv+#k3W&m;1nIZSv;kW2b-ffOm<yv~YeU1glHBCcgWkjjy7zSUy<_oz0jYb3ZaKgeZ
zUI#g8uhXQ=x}y_)8aJ2Hw3~aWOZ@K!N_Ns;v=)<pDy>Sn%>NjjP*n~i{vnV5<Bm^(
z?y}(J?wXtJ*Yin5c9CAcss?})1C{Mu*T^&tO0U8|h0`Y@#Z=qz3?=2cA>DT$b?8zD
z&V<sBqf^^wQfVZ*Wk0GjrK`M`8Kc$9aCCA4WD|zcPowberyYUhck_KQO&$mc2xHjc
z!R*(^slWVz!?FuMm|Z`Q)J}=rAQWNzmr}QFVA+%P0c+8d(<D?;cqLWUKG&9ji`ldS
zA-78&&4`_}9s*W4URLP4L#wQ}KA!ge^|*yTyYsOT8g^iG<aVVzG}0d-wKDhly@&2M
z9>UgWq1|-M#RYCl=>Sl)D|~TuN8^7kK+L=NBgpDS8>OEMfg{^wEXkJBLFP;4_aX}n
z19nt&8N_|fA1b~VacSiTZl~+4%xU(!PgFIKb}=`zC>KRx<KS>XYBh{-CDZP4AVrbe
zZoXDlf1@*f&pO}#Tx=yaMsuZjnC9z1&mUk&X84f&Jsa&67aie1jCIVHx8;;akqhH~
zNBrr?UyjIqQ;P=eyAOPXwH1~hDsX`3>g=Bu`-jKDCQd7mW5fYS4WWUP^`NfmXzU)u
zCV#~*#HbkN`R;Fm$-LVl))dKocSnar+ruptbt!o9`ZWT$>5an(!4$}|vn%iUjXQvo
z_UY~3S8|MmW*?IdrUJ^>nZmD5{yoKto+c;efmQQ;PFGD$?N|;Er*tj6NaG8L$}OG#
z_R`zhnm)n2S2yr9hn@&pU9a$^W%=a0&N~;o=M3!cKbv2*m3o%%9om;A>5feQvHR1|
z=Aj`=hK;<gUN?feLI|Y2nZKM#jC)E?Xkw^@6l7Q!nI$YmMHc0RqNCnF7MmNs-IuL1
zop=%2c8){kR{gaUXYxyi-JeVyq|C+TOSpiEt8u#qqxT05YYIu2De$o35JLUxS<rry
ze^e}4c3RDkl@$ku+La>>{>`7#a3KDxV#TeUfNlW9FxbW`ZccJy2(q;AoJzSOh!r#R
z5c56_5Scx`l*>RT7O%^IK;{$mlJGKf7_G9s@F5m@UgaLnfJzzIzS_PxJMF*=4*SGd
zsKOU}V9PG(*Oe4KLW4uCILj3ns?S&|^;OK{PF#)Z1#)+PaP<9p??2Ryp6u-Ga<#C;
zO@8u<OlNTr{%cK>$tIryOd=i09WeD&CFx`oAO#n`RFhANcMp%?o5X5=eX})Ls`%#N
zBirgKq0l>56E)l<#g!02>+c`<0DYQ}X6h3-t9;ABS;dZ(u*sj0N-vW>v<-geHr(QR
z4TYb5b=otC$T;lI<YVPZW^HLn8^Cp7-Acin+(K<-cv$9?cT&Zc8)0wdYkCq;XH(t9
zK_gpHFrXXZW}~La{Gki}W83@r<a&HP(p!;OZM*Dm-|3tGC`V&M<O<?@Yy`8v?nQV8
z2LmJ7kH|id&)SuR_gnP9I>Uv38qh02wz*hTb%38=vvy^JU-f`RNyDi7#GeDNHi2sf
zdFRCVh98RuMi}gvt!=YRI-87&DAiJI6uNbBSdjh2R!JKoB$YUpm0X+@DLL_^${xcS
z`|7Xneq~rL^!|(S#Ndq0;2h972xo}N$jp4%M_B^g(G}k~6RAdynuz`3kt_!@T4T9D
z9Ee5~3<L`=b=V~`R_#SN)-2!6S}5+wW$Lq^V2^8_YBd}v1^)ox16X-~u@|6f1|`wx
z#AvW5X8tm@^{NZtwN&LRr_wZH0AF@smgg~dW61H$PczDVxzGQzdE<A>1Dz^o)8BW2
z14cG`J3m+a_NEFSJx<b%z|Ps%M7|CoOareU*v*Yejh2tV1kdW*=T}})HU2{YLuasI
z$d=~WHML^iax(hzno{>QdM;G?dhX@mJ0A!H6mC6y_eJvnfrMUe*Qc<JC)_a0*@qDX
z5U{$bu)VgbtYIO?apdc@M`YOg6z~)j7C9e!U@q@JO>--EDI5I@^l<w*n(8OmcErxY
zBK+n3dk;6MU#<<baL$A_tXwFG?>1+Y%!fOFiol3V+ho(j6~b;1=mp}f)eN#>y9`C+
z>La?)KRAK;Q*{@)-k3%HR(?!t&&7m+Fy4(t<bVZ`x8YaxlYX*Q$Y3FYj4P@7Y~|v>
zaBL97Ti(z@AhUmj*N^yr9MkkK?|==TV(zJ>=ajsra7m{c&e^Lk#KYt1miSl@*S8ti
zE*5;4{L6doaC~tB9sbAOAuhINl}9}{AD<4le=Ge%pxD%x4ZTG2<#w5dy=A-kvcl`o
zj-vTrpaSx_WNbS}Gg3SKrdzWIN>;GV@7KTx&)fm5y(n5{@n;tW4s>rMA-G(DEx}n<
zsfI(|{-4b>J@Yc;g^w+jnEe*70l*+X#jQML|FM$G;S~ggfq?q{i`>Zjegm8+1E2S8
z)GMXb_zIA<4C*3)OVFoShLAzTd$Rsc%0bkMG-9+g+?#T58L?Y!csC8NaDEmYWvq|0
zzZ{Lvw3^8dNXStPl}%dHaM@&;uSYwajKT;YfI#eI6GYlfO%&qzk<C(KE09A#rs#=}
zL(>R}yr}Bqi#QAFi{=g=;e?WZmj{c^FCQ7)BHygT=zq6pm?U7OAetsX*JG|qTB2yJ
z*N~Qu{k<+-z3*Eeaameb_QytgEAQi1<!ER08VWN|0QW?lGQ=RJw!tpoM)vJKyg-J#
zvQZeZ(j$<WaKB<bKhIX86ZckPxPneuv2faG<aeL6x-+1HPl3d9ak)Vi#_xS-m_h?A
zMQ^fJDUborLVbjx-!!iEcDHgPrl^1xF~i<P91YCL_iJXsT4NCwYS?>2iQWbF<weJK
z^s7EEvaYTE{Y<5Bc~O#hpujc`xR{x`z}qSm{f-Rsqna20RZv49;*bp*$nV#&-C65E
zh$@aukZn3?m13P^3!D4rZ4P&MWA=AotOp9?9{P*(0Z(@GJWfP{4;+cJ<V{__+2`sb
zDwnh9aO0RtNU}6c2HEG>ZrfIQ9eFacQ!ll~sFG?S6me53R=XwgG1?^dnwpwXL^2ar
zjZPK2ebaX@<ua$!A4@sVr?|Cb<2|CtP~?;3ShuN|%(D|eI4h<c?hiFC(bnGFX5+2>
zM#|Q?a!J!r$79q8;GgXBPGKSI1EJAX!+a4splYYSG|q$9%YZ4~n5;#Dcf``@t&;<(
zX>9QK?^B%D_3Eyi!hu9j!?h$KF$8?*WhmdG8hM0J@He@4hd}cwklBn{bXS<lZJUW}
zLSan16$0WjuK`wh=DAYU0L06eGwa)IFUi(wEHuuPxVqF?J}EBdOm@TtzIz^Si}k2V
zKaLxsVoZ82^CyIFi=t`dVwK0#z=-#1%=x`&f`!L|gVgBC>QT`}EOYj`nW0)}D_l;i
z*#Fe}I%oWOc2;QO74emV(K2sDo%8aNqH1IZ8_tiE9Yzt-lO)ndx3iK>{%UP|P)>uD
zX@8B1P7!>{K}-P`xm5Rsw@4;KyUZ9Evo-bcA1T+~cVL{UlcZ~TiY+Tssu#V^P#8=a
zM_7gF3q}maCiOBYvn;3MFzbGK3V~s*{1uNnlV#O*1XbOl$=aI#Oz3?^?acyVl+&xs
z?0`8^DOqQ9g}%HyJX3P-ljJ-(R|m|75CKsHIpnJaSK&Prm*5Vx3s!Y-^4@EJlNWp<
z0m*KNy`4-(oqm@L7=;T7%p?NW_jZ80uK)XeXq8kpn%`!L;WpIXmS-sEv6N2+O4K&6
zs>`<pyx;xQ_+rv8z4b>S2il4;*@iF_?YULe=Z~^8?K5imqTc^cwmgN(+mb9n?W3BL
z0E5>yY19++_Krjm>~FDG&RQstb^8Z@Ff~boJ9SG}Qc|3Ics*g;tNL+pcv$IBc(8Tj
zd4$c+ZxUyz_k**=jAta4>z@f0{I;9G7}CHhsdM`i`LQV2oE8*Z3;igX)*3pj(!2!8
z<pJEo2#HBVpTm^#EF6WD8D-2qXV=XN{+soz|HNDwk47&zYtK&xMugeO@DRxre;9}y
z7Hu-m56O$Ed`|T*ZwH+gv<fIp5A7GNGH&pumwN{eT>Z1M^7C6gc2cbGn{6+8CYA{)
ze^=?lQw%wN18Q8gV?(w7f1+1q&zhi_DWe`FGvQab>hQ&ssnJ`90;XZSIHm}8gZ&)n
zsWbvToG}0<kWZ<)VlTET*(&J@^LkstRHj{z5nX3Ts%!)I(f#lg<^aTpeR@NHZik2*
z(j6kamtw6@p<St0%GY&Kp30yi?aMV9O*bq?1%4H9S_{+p^N4p9_Q`?fO&i8;g@8<b
z{^>N>6rht9p?xErm!E&&A*ha*pKN{l`u&%;r@~(i*;ZStH+@$W0uJi@yZpq;+^QS&
zG9+R=Cs4nU-)%PA@mRhOUgnHLW-Lm9eCTFsW~&-vJ(|xB1}8moCZ&->3saab$ibT6
zTL-=`mQtflRE!dKl&t#jbX62m!ni40JG}i{FRvv9@*SM$8!yZod^&&Rt<!*lb0X~#
z6XQlm!FZ02D^7PzVA!2g;Ka9S`n9H`P(643xqo&AIA4u)!TI`JV@nn_&{4@u7M0yC
z!J(F#BC?X0tLXf`Yin<5VF~N6b8v4w3~`PgeVaMSJ!0M)hPCb1q+e}UZQ#16afD%6
zbp#*r-Tpqu_U$)WOZz|F{6nE5s(-A=WF{Ky=Smn}_d+1hmIa4r*IY9R@Ko4YS=Sv~
z1RI4B>U*<@sT9BK3L3Cwf*I^9oFD9AKB}~uU*|x`Ox|<@t>ul7tG5E9O6O17SY86$
za5siqEluOW49vWPF#1m9EnUs{gq-|h-?1zIRqMEIDG}y$1#mVr=+oO-WoYQzca*?6
z{VhwezHx=6ZkkY<nabe&>v5(Qh6Pd|PDsDaAmZ>Jd-KRa@U%U)hSRbQ+(ySnMnuql
z$&4WovKdB|ASVPXik4?+#1Ys1&LFCNF*5w!nvj4XhOiz~zfDD;`bD4zIp{#<3nDZW
z7<+X~HGFqUGXZVF_Um3#hrXh;jOIq_hDt55i=UbSD>b5c81FD*dBN7!-Q%A>`a}`c
zpG(s=@{lBeCC_QohP200du@ArVOeEIt+3iV$qE5a7jdM)X>>S5hz-`tXs;0Evwg_B
zUtZM9@bK|Cke55WDYGUVjV|k*j0segz;smO%haB<dRh<~g2cE3FEHyxa!z(3v$nH~
ziQ>J@)Z*bP80A9nWxD5dj=2o>W+kE$+_;O_sc_6ohQb7=n*7H4)+0!)I;xc41b(L`
zfl5>GnA8PHSwO$nkrRSTM`e!RfVN72Psh@dVTPp(zMPc%(g1}Fe55d<!vG-KiUk4G
zVCvoaSr5I~%|LuShN~2j`ShYPuJ%0FRIK%A9%I?qGv3Ay@V25gX)r|6H#Q!t+t)<{
zpc&vt15EBDG3b7J46V=-FjIi_hY3gj!LNi(ph0p6L@zVt>n@2E<~_Z{W#b^E&+{ZW
zIO1K-BGePNfP4TP^xUzqj~=gwM@MhlFm*a;^wTvDEPA=R5AnjHqv%J$PDDxYY6l~&
z+NLI7O(Rm@hg$CbH%e%G(yshb?>(|XWF2Fh=gYoqkX@OdFA^;TJQ`>8zjpSFxa0>1
zW9xGN@xf!@8)|_!qriaw4qbU+IzE07Q!}GH<q`_{@kvVnE|>$o@RS#cio{$_cg|0F
z=0q7w@FC7J&u8H+Y4d@UynA)SC<bFMQJ*Vd-lctYs=ffjJ)#H&MoMXrI;N}Z<G|hv
z#700_yFC;SGOMZ)AZ$M1Cx(W3xw*`N3M=ej3I$d#APaI3*;JpoL|WDBO|PJVYKi)J
zHy>|-YVz6p)Z#TImAR5=#2@|K_gO*5q2&I%nuUS~Jfa^#ZYAi`;(rY?pk=_o99wu~
z0e=QSQ3s8}l+l{IQss<3X-mp08W{F+-X<ZjmM@D1D99+mWPQHZGy>J0M)&|I9IBhJ
z0U==BEibQjgy_Ibxqe}3)QPg>#k9~PEUYsbM^7jPzW_|o!|g@xLc@pEm+7~CNIaUY
zgQCDg_7be%%j87=t*}=Q)1cE=`Z)3VYBzPDo2W~`I!>7`b<bnwtfkrMyuJVyg^Z3!
z*=Ksq5#rK>25IT8vgbwGQ*A#1Q&anc@fVWqgjsIOyrKJ}?^m|jD8oyjS<mkd$SUs9
z43V+npVuis2bJjhQr{f;j**j*8MgY(5Y?wIV{LH^!Q%qLZeC$wJFqz1+&Qpo$a%5=
zmV5Tqd(Aa_1d|WnOyiVQRS7RH!Cel`l>AMICu|yJ6A&OGmOnyjb{0CTFCDi@1OZ4Z
zDyyHEe2QVS2jkLE*6BOFUjKi5x|_1p=~Z1IuhDNMbxS2#;|mB6*QO&>vUzuSu`D&x
zV87gK$EP$UMUG55ZO5B?lwmJIgx<Ui0##=JfR3651~PWmd<tB|Ck;3A#)gN1Wx?Hy
zOknC#Qi}B_F-C-tsMy$8jlqjY+6<IE+l?>+U#9U|w1Yx$Y4}lLdWhYyxW>|<B3>E)
z!AuyeBZ$by^*gr?Qz&)2dW_=y3p^$qem_w3OZRG^JLs8NWm$C#xs{pb5)TcQYG@}+
za6tOehE!99Ws8Y_y!p|t({xZtQETbMPpRyaHUG)6Y-zY%bb&+3TA0To3~xq0fP)BN
zoz>c3<7;4lgNl)pmy0Vk@{Ih|E2B35n~W9-8~#mm5*S!&-pS&XNr2*+1N;psTE^#k
zR9^yoI?yC3*U(T4IDoHplfs1lDz*A)2=LDUXDb8z{e$5zFIMnq&tKjoxaPo^*VP2a
zUv2^p${avq@N}+QxWvQ?Bg5*$8ZN#gpvl2x5OFFu_mZ4dho3>m#EyReo(~`#<gN?q
zTEv9=+5CoJ*@*X&%+JTwBq5l`Y1jcn;KM~QhywlFuSmD18X-PD?{=xjljDFOPtS($
znlUBF5Z<nf^jng*Mf%kRHXK@Q<e4XF$1vYuGe}3$KwBNq>}sQ$>W|x}|BJI_@-xT5
zp1QCZstEEQt7gkGGM!_bArcf$Gh#RhrL@z=TAo-#=jq0V+0R7~=l<`7CU!XyocQAk
z;>fP;`(asXZ;sDo*f>~49j23s(>D5}FMrqAeG+f1S=owC{Z$FTc3xgyC#$*dYGl{_
z5pX|AW53aoW@+T~G}K}nVmw#xjSb*LKt&Zr9@}H=@ov9cF1%|hgbS{>9s{A9XCLNn
zR<7EvMw|oB?pB{3eT0ql^>2HO?|W83rX2gAHv+wKfxdN|?^?Evkv)h2{_=HC07$4I
z!5?28Q+itPxTj3mq%C?B-cE|rZ1wDFS8Bccdg&)ZMUqv3sAZOJ^##x}!4TujckRl>
z$A_N?owsD@hlMW-;`H8`5lsXqsXGqqF4jVXV~)6E9B2|>6=tjgqA92vL77!$T~!O|
z{<KD!3F4<lUy<rH%<5%es~=(owyTbKE`#@}$Vi_$05-OfnTT!adDQwPeg221s)-$s
zGz|zLcuRVMQ$=rWdy;r`hy3UqRpP!vf}`@jEf!}#+sHP$!a>5YfV3R=j>2U4R^NpU
zj$Zf$fM@D${R?;OJfAw200vU~cY4Tngpv>MA#nRxrST;!&XnQ7I>A(x<)SRnnuULO
z+Y*rx45TzoV~}IyLmzh=zTwp8(?x|0TD-BndVn{~dhdbjN+{a;Ehw<mjzf+OQLll{
z#=ia19<zP)XWK>f*T9QPX>cMC5E4G0hkZf!eXBR4-jADNkDGX0AJB~8(?HS?a=>lI
zgf%&1DJLRJD3VMS3`Ac=T0SMuPz*$mG#Nf80o9}l^78|I`|KZZ!Z`h8PDko<!kqxB
zJXs%^22F1@5)jfV5J!<06_pe>5ipz15(>XNuV&fA*`jeY>%Msl-t3D=oz9;ryIEwp
zS8{N287CtXf>eK}dO$|X*>Kc7cED;On6Jd$-fu=f^_9J4qAal&rU<?>68PR<4VE%>
zaqv;>65ELnt*bORO~20AH8?p6zXE~u1>+2sBmd(9?2zb`k9<Q(Kq4!eV~rl)Gv%{@
z6Bies^Vtsc>_)1AqKv{&U{V+w8VX0xxma5E=-<t*C)$-IpN2KAQ{)YwrHPqNF#Kyj
z<D(TH`7}ajCd|<qVe7_t3YARIN_XHgG#(xecZ)(VO^$qge0lN6tN%~*<qrp;m=eOl
zWYCp?x6tj&79{z&hWWS#{94<O(b|u%00AAdr4uvgx@+}*WR<2w?5<wy?$2CXufW*X
zC-B3d_EYBeQ`M()RaM^(1a`cpuzuX>Bl=8+KB-#NgaKpX7GuO#IM{L5D)9~^Fs|gX
z9u*$saZh#@j?W1Vk0!FtBAN8|-$eg3fYVEN_*p_(nx<&UKt&oD-aog28MjR7Nh`if
zZcXT~KHD{OwrnhUrD*^>KSR$A15#wgvSr)MD<UEyBt$Bs-o7fP0{itX6L9)jZay!3
zU9*>=KwA*wrk#I1A(A<pN&q`+*PyAl_)%Qiw|wkdL7K*^SAcSm6*L}(1(vv--7e=3
znS}S7^(?;t(71h=J34Qkf=y3DM_0q;ieK?z3M15LcvFQp9tU$@rCU;>M9*Gu%SnmN
zygy9?ux3@4{5JVVLB&?8fzpMwa@Zo5vPH3wdn_mD9T15N8*G}BL^DJsQZeuC57Vo|
zeOkvts+O2K{<+t|W6T^I3r4<R`&Uvp@v)wj@T;r4ht28?(8+;`dY@w>xL+}u#|nd=
zj-DQm+V6+j@1N<4?EdR$M|5jX{}LbjiOzc115dmIq28y|U}N2ldbha)g>cX#H0ZGd
zWOfXw2A(pqHLdlS0pm&VcH_PwDU7th-mnx-6%rIcDXEGhkhHmAqKF}v5>!Q~uM++F
zV#s1qr38jsh*;)-cCDZw!$dP+yAok4Hp3(9+uI-X_R8YPn3KL-2%w@;v?2PWrU;bi
zFa5WQLC^f}L`qLtc_%-HcBos{2LS@Odv#z1B0(f2CHaGAR>DD4jS4gyIZ_C?-dMc;
z5EksRpLm#7iDK_s&$h^p@La)_w{#;V(+qrjf(7Rh$VL1wFugK#DA=S4fnpl{{q^bE
z#zMU{xq-W1!O!MqeYVUl4q;wBbkq4RCu6c#8Q%ChwC^rGI6Bw0Z%F2r%5l2E=2tFS
z;^?p2Ut2Q)k0Dy*=_j^ip2+*l#xq!KaAvO9ARR6!(Lf-v@DMpQEBr>G3kVDm1h7Mr
zF);Ky--~G9?DsCcd&^&2pjXuZM%qAhYa0Y@JlQ@bxEZ<G-rlBaYy+JS@wx!+vBDRS
z_c$bhbw6YLFw_2Y*DiJ}2o&7LkK4wOwP!<`BhfZMEPQ%geY!gYSCDtml{Xl(@e6>d
zbg71XiZrsTx1G)ls4$4{G4k7aJ9`-i#^oPF+q~!{SL{>xRA6m}w(XLi&d&vS)i?76
zKOx)&vl5^oLWnrvxAKk-4}lL%@hb*)MLoOfbY3axzGfQvE01dJ|0C+HqoVr0|KTA8
zL`oW@JEUO<DFLOsQ@W7`=@4m<ZWIKhySuwYx?8%tp2Pd|{jF#IVYwEAGxy$e&ffb~
z?<s>E3<!fH54%XTsHoP>wWlgFbc7bH8<oF#s!wvPTL=q>2{@OavAo9IzR!;!t(@Az
z^}Rpys13-S*Z~&{w-y7-IyXH$59uF4CZ^C4;6fBFET53)?7K87V!w%62HIb+0`oU(
zLCXPZ&Ee0B{#-J#)C$3OP=rdjsY$MUX)Ju<B?MOcQZyF0HZTCXpUD&??*c5ADZa>c
zPshCFBSs|>1jiFB%=!&UMs)u-5mGOye^KUCO|kc=FfaboTfL{1v)#X0Ovej`Dkl>~
z-esUw-5GJaNd!ZvwM8Ob<v+m-mnkqLR@qWn41Kp>L-etRn=ZHgI;rDys=iK@A>RJN
z44kJP9`h0}F05NojL_NPC;}~AK09ej^~`Wo*a2wm*#9i;A@sgK^S(dTuI1*r7$7(D
z^S<sR&9z_%yiU%%N%nYqyKg3Rw|L}z^;{<)vsA8#Z)cM}{Cm0|eG*gLfJU;>kdpP{
z8-)Yx$J61|qVz=5*xlV7fTvN0@I9(KbzN2qD*V}}*gmzs=XeQBgEX-rN}+5n4ih7e
zHl5hCpJ0SFN+3{VDyk-<L}9T{x)9+A;g!2*u#2}I@vVl9@<;H1YW@n(li~Q32J!=c
zqg00H38*L@vPp=_XuK;VQl~6uc2D2p4CSwgz~70f>aa#F**H9mJ(OVU0b!z`t6VRj
zHv;;S;h`a7{s!Pbr(di#$TN6Ub>ax7DqtO6sRQh(32<WcHb*{8QLYXc7cU=W^1B|=
z&p2h%%>g(cUsuxqWDGT!j`MwwJEc`O_uF!%H5p<TGlH&<>KtNqe02*@YXQU2?#AzC
ze=Ukj^_m%Sh}Y?Q$`Lvxef?sJRh-{#8Huu+J9xD2HFWjy_29>v%qp9w1JtVJh$lO8
zKxIwFx}=i;22$B1Gs(cE@Z(}>e4A+#X~vp6UMUWvHmgM2Yy00dO5`Q+9?Dx-rtOJ!
z`CCnF0Yose_wiYlcu{$}rP;94o=$=y>O!=Ij#$?6mIO)(h7><m=+6X@uLl!ZeAbDU
zub*%B^5em>ci&`*UNZ^=H01R{((WcE2oT^;Me5cGzAfkt-#obj*d?H(Zbdvtt<dW<
zHq-OrV)_}P;KVy_IdU8sP3H$&(wDiHo)Uo0!_s{I$GJ{W5X6VWP-6Ji(Uiqol-Jd1
zs0c-lYXKfOh~1?ac(cWL!8Pp+rY9M09yawlxT2rw;}RzqC364FM2xeJUen8uWevUy
zDk`va&O?p?6Y`90aYbY4IkAmoUu20PSXSXwS6D|ZQIroJ3D){oLAE?O*pO&eR%$70
z#^lgpXo-vt##*mWL6KFFS=AKSiNqQe<CFkO+URsHv2;@;>1ZJ8VYOw5Ee>vaZ_Z!2
zyx0$=z4mFeXYa~Bd9Wt~X@u?@J#Ld6SmZR2K-of~yGBl%1&n)Q6P^RRz?p3CE)e&i
zfEJ=DTxE>dlqbnC7!$x`K?O44-KYzg#P@?f)s>YUw<o#+9TdO=!&w&`ZLjVrA+Rr%
z9a?huofnm4F4H;%^j6c)y(NxaN|q$o8*CdFTP9oCOw2xs!nLM`CPhb!P+CpPR<5bo
z=(f+_g_$SwU#jg|0g~LLWlm|{huHU0?J?<P!7%G;pVw52hRbde_wYd5_1*8(8rY^!
zJlaYhG#i(`91~+@lS7(B)rAijqLO@0Q^P7I22=-xqp)p>Hf^ic`%M<B;-}lvr`uIY
z?gwvD2pBm$;8kleyLqTgKHTrMKJJx1?v@IMbmL+R11DFo5qN-%J20Ix(Ofe8vNe=U
zfwaBK#0;WCa{yxu@am$c1vD|@o>$m8DM@zq(!xTM(>WrW6|9XFE>jV$-H8HS4k&g>
zJJ&?SV*9BE*&!g~4E@_Ei)h#EtY+~A0ISK|dhC*>g3;TA`yIYYksbAE$|IuQ+~g;w
z4Ck&xQ&$`EQ&6cm_GMg3Xb-WeURici!Pdy+Sr_P<J@qZ}s7X^I7mKGJ_v2GA+VqZy
zeYV5bh;+U%trJWfes}zb78Y|;i6h7!y<sXvLl*LL>u>BMm2b>C^y<6=8hLiSaSs^m
zfH$TpD=V2TqJT=E(c5Rbk0xc2f`%Ay@46cptwbYfSdTnO7WaM+|F4V%0)$vxow#AZ
zDCp>e$J87Un}4vRATV_h{P6&)PGHU)`NmLwHyl%o$^hf6JkWSxsCx3;_X?lQ_&Rc|
z8cBZKy``)SaDY}<$>qir0sdSz<Um!Vlpd&Pki2E!C;8UUwc6$9xcP>MWNGu|T$J~D
z_CVdPF(}PCQOy>}^V(C<>ROIQhtpS5YgPg<#4#b97IebW0rOCvl?x&}*9eVYYV38u
zXd`cep06IXgK~-B-uvunFW-)W9sIcgIht+Bke~5hnYPl4oz}v8uY-~S8w`E-PPcF5
zN?LDdsDeo-y+DOw^y9{LWhVftbFz8D^HiCssj9-qQYzN+XYlp<8QY>-RK>&|yq{K9
zRt{0}Fbo0dq>c?duqK*8!9)QUxX!F5)O2}C>^*U+CYq~MDKlETX@lA89?j3QafjQW
zu}CW~2*ls-AAR&tMMAReZ#CpXU(TNIY<$_AI3b^0aifpxtP7nd3i4#T*IpD6z{o*S
zt=W^i?1}sTecU&pX^j1e&Kk2CEFpb)5A+IvqL@AZGbhfTSlbq+Z7(6IzVfx~$J}2|
z)bqqe+XQ#CCr**m5C|4ECT6X9(w_lVYIoe<p<OCJo!TaUHN;X<@W~Mv?Dt>80(Jqw
z=PX0zq2`~%Q$w&JOoU&#I}`)7RCPIwdADyyISGwp&QN^#mf@5JK)QXgvu<q(p{n*E
z(GQGrt>P~kdDSEDSa<;@a^P~OkuYspE$?$X0h-XFL$&Iu#$E0YEmPhIm>>qRqeE2D
z+sE{~Qo`oXDB!mKX0&++0g-(;5>?LESHvsvOk)4x_?yuE-#kH8{2kES%YEN|-vwv{
zUJrZv!1ev9ho|KvLw&?&ofO)|$nqAMoaFbC(Cv8C<I>T?(uoha)X)8mz+)D8uOK92
zdvO^-8DfWiYbfO_L3{o^8vlD)&m@gP163*7TltGT&<>NFpaB^Qc;lA&V%;1cA|z=|
z2c_6K!KBxF9F(`9ipy64>?$*Xbe^T7or9bKVDO6pUs+js;KKh@c+(;;X1j5<KR$Nw
zLgCcLLc$%`cfWL)Gfi=y$)@Zq;$*is@=*VWNB-5CbuA#*MtOJXjY4K8=QCyOcP4dc
zRxO$jwg{B{Cswk=E2ISnD`r?C;is*Qx%>8eFdqdUu9H<JMvN-*WBSh>>F*XQ3n<fW
zuV&XG5gICCy#C-DiSkp446%mMU?O8+Y9bP^L|!#o7fQx#P;%h2kGU277DBoyEprCR
zTB=gwKwE^Z9Ao0g{91#8A(a8Dzz~mtiJU&BU##!;qwp|<gBT6)@xhgWTj)>t(A9lf
zFO^f#)U*$kvsKv%=TjPJN^KrDUr=Th?gHZpP&>R0&3f67K;b}~r^O5l&2$dL_{m>f
zx%l2vR^x|#T16o|A_PJnz-br_GZixjlp7=u0sjFpUG6pT_hy1;$zUgHjPgA4Sk~6i
zxZYK7<s*q|eK@cal4>;4W9y4JzltXHtX)}?_gs6OdEG@D`Q!mSW1k0<X>WV*DH!hA
zdoiBT7hubvaKWr49s^@WSlD3u>m<UiUc3#=A%b0@|M?tkeO`nHNse%ce4Jt{h|_(e
z3+tAn^OkhJ<E(#4%s6~pE6?IK)En4FGQ=NZ(r!9v(&Ox|enh=Wn{WG3LWHC2+K2E*
zm^DZdfiV~&jL4<=67?v2D@))o1BtFOxv#4kb_rG<p}{Syvnm?^L0#5spQp)x3R6SB
z3n=T{Hc;6VRDnQ)C<hXjoQ0*O!>c>(&Q$ZV-YC)9QejvKGP^mgrH*1XuFU4`<woC=
z%mUE6h5h;1P5r%kN-A0q;jJ5T6tXY}R}JO&kQ28BW1C;JH<pzC+wSpFUnyW;p%Dh8
z^zm)fPo?+Nt90QguD&KWe8K$Ee}!HnIg1WxI_6NPRe3q6Wrrxp2Cs+z%?+Nefsqq<
zyf9AOS{^*!eE@Z1ch}f<FmQz01BnBM_<FANMm&eVT_KRMe^@CQjYr0EJ7p^WVUx-m
zvwX}g0I>jnV(|kQMIApkMUdn8QqN6B{hNUkarc}x09k_-0y$1U^4#Xgyg`K&6&G*z
zf`&ZLzqY;}83KBRQ%Rxk&;78!(k@6&gc5J%+K#waYo%voylpxMWM@U}MWtzv5s^Mb
z<fvD>75O6tUs3*=q-a&i{@Ykii|S}^Z@)OCVI}UxBr{h@gPIl{ax>LVcNA{g-ek1c
ziVb<mpx-!>W$iV*b)<#56f<gaJKg@|=zBRL_%g{D=QreM7|Hg6Ned^z0$1AGHWXGe
zY3OQ5A_R7O!CANJUl5GelsTtd73}iS)tdv^6V02N-!xTl<9mE}^ikC%aKZ^DV&|VZ
zY%&5}>+f<UWRc*O<}XY6d$^2|M6#<oXgn*DGD`nh;s=2V@P<m}UIQp6hvAs0tzjVv
znpVZssTFQ=8TqNE9ft6nLl`1i>y|p(Q<^rqZWLI2Pq9C@+H9(|a72Uujnoa}ucN4$
z?Z|YO5+{41+UK+cae><fDq3EPZC*^E@U#uuEBJ1CG}8OcH$1P{sN|BR6%{X=j&J;3
zw*Q0)uyO+(QWs%Do9J{0zYG2=+kt`nJu4wDDe%Z=kluq^;2*m_i**dzVD$QPaI`%J
zOwHY2+pn%wPwN4#&|t-X)zfU|!)#+|T2$oIPUhndZS@LxAFUj5FPK~RmFU1yp!@bo
z^)y0O2k}T)G7jFqPss%br9{Q7Gny!&TvyT<Y@3*v_Wf<W@nmlsYXD&c+mXB7vC9>|
z<rLnxfE7A>8hCi$7GxEQdCsqhAoocy^3IEyOQ>=4ZRv5SYEOK|@V7p=h6QTVoK!=9
zkavt;^JW!8E2xDU76Ol<Qx)U#b-IX)j)30@3-=CfT8x^hdBL;W?v^$MVe#k+{JoAf
zHquvaqy8s-r8^SRvIsR*2g{%Pt>(}m8djtkg$<RJj^I9?#5;55SO>nRQ22qJh(!e_
z@v-e+-{M&jIu_U$r>CY!yfaAy0q~UAp~}I2=kQ_G7ZnqOk~?P`RvY$LTb%j<V~hz}
zy<i-EImbn%w6wIm@m-N#Y3bkTl1LT;c{l|SHH|?BhN;Z+1ro#cBMV?Mp1=&}yVr1|
zP>cRpcO;pTtC>LXfwb_-DENE+!0_r9#~CL0`)~N<U8kp~+7_X)l>LZ^#PHI-gw27f
zhIxix5#?~1A?C$lALqdRm{<e%@u&yx>%(*N^LWbgbP6UbAX3cz>O?B%^k&rOk@Rtu
z6bxnU7MWLgxVfKy>lLKsx|=0q-vOMMBzVQnB}=IiT)&2(>V17lacBQ_<C!U@ouzaB
zSg@Qq^})5Vvy|tL|3+F0`K(O$EsMu$lr9c#x0%Cd@8^aQ+KZWYr<YZeOqdYij|8J=
zQvB8(d@kJb51!$di%km4mNhfc^f~OYFqK`va!yR<v|-vwSG`M)Hu*s9s<^Ilr!Ba4
zjlQHCo+2`fYCv|$R*48F%fz`B&`W^5PJcXbU;rD#olD*k@#V}XD$$p?5VWqt7|(p`
zg342w$-kKG_G#Z(-qYiVW3n+?<p(d~8?LEokc;$K4+X=)P{Mb_DH-^pef@L|2)Wu;
zA#|h`Kx1?T-}n)P1pfJ><Vl?nQuN+&h~m{iCCvL=1siB$O0IIQRC<cZ?--+Y(PA|Z
zw}!{NFXu}6U809*o~on4nvl=Lz0{*&{*znXz_e0188_MEw$JM`Q<i-doIL%{A1m0&
zsi`0m)k~L<DXI%Qnpzklqq~e^qYD=}#NIR0Z&Us(%xIz={pRb_dcO*84;YIJd2jPC
z-<%0Oot1hWSf!n5*V;b(VR?vQ+d2bcr98ol{0Th+03`+R3J469=oDCW``IFxM7S-!
z!RpAe#uTopFINXN1eVN8cKL4tsS_x%3f5y}p9J6X)2^1Q#K1HxycQLZniYsNvO0k8
z>A^R_hG4>C`6DJaQqp3F@H1|cC^AUXgJ>!ewbHm085+Kc9jLQzBHNb6H#Xb>@(B&c
zT~#$;&p4^BUoBLX8f*Q@>8(8tVgzKh@JIM0n*^fsgpEl=h&|T?F>?ElNMn90#vHk~
z>t)k>HmIe)^aRGgL-Mk$=%a8LA}r^dZyauSMZciIAk(93dGzUa+slacOt?EjC>$_Q
z>tT`Mahc#EgD_(T-~COR*|2o0m$X@P5%z*Wd32V*kXBbWJtgIfQo>?#GJ#dGr*h<k
zef(svClwn}2x}J%EOAIP$$Hps)6tEE+1eF}z{F!Yug7H(8_i%vL^h+EhCyHuTPJ8d
zLHf{9h{x@Qhn}m?5AXdyv6){Kj>C@u8~-`sh?<(ZfDnfqvz7|m9u^{m469b6!qCm>
z2iBbOMkoD>(Bnze(=)JS_b_GmaCr212=>TKz`X?>qg8QYV&ZdAlX<xddXuI2aq~b(
zN;&yDkvIOj7)L(p%k-*1?|B(BZEe875y1$T$Ob%Cv!5?SfYF!Gc~FmzkVZw{n8*k1
zukdXvky~ZHxCoB@bGEgqCdn9CTE!rp)S>>qjbBCTpsyG?42wwmJE18IQb_$20^Hkz
z`;uklR!u8_Z~*lg#2T&Cfqpm3KIxEugWl-NT3O&`lj-EScI5gs1CrR7Z7t9Re0_;`
zjVKg+*<Ta<noOfNa`<C_Lp$ZPr96zk{W6LDhcW>B?YPR>X1EBpj=`gVeH)E;NCnBk
zLx>>`4N9moT-s`;?Y1-+oq7AZ*148#d>s=N!w*ChQ*HEpU5}If8r);L;V)!5{;4cG
zNz5?TT4lu2DIOTjDlG6tPFPm2J$7-3h-E9F(%{=~1h4qc$4tO5=7)+2yEWQBAPb)F
z?(VLx{=`^wbNG352V!9tDNHkA>wEonUKFzbm49@mbK@52`uY{YW8ReE-S0z<$C1yn
z8N3J9rtP}Vm`gVfE?97$Py_+UeUIIJPhn}x?f(M^L4`V!DfILe4CF!5*B4A=ZH40@
zQ86icIOr$OcmFPCMXW<Cz_xRO|8<S^%^8^CKcV@zIWH2e58nqdUI6t;GawhxYUFq#
z_IvH4)xRp8oz{Ix0`rkl*8zIcV2gsG!;iQx=b)WKfR%}71~iU96#*j5GcqK^iZ9#*
zrnESEzBH3iz;?z_yYs(;V9bT*;TGiyz^uIs8xjMa9bAMF+!E?CKcG;re}{YNAw<p_
z;Z{v3e<?6yYDzBmnhvS-X8-Eh>J8zz<xPxhsYf!TJ`@T={ENynkO_;5;o`Zlu1{X@
zv^exEW%uq2A!=E{I!N2<^1RSwX%7Uf7|iG~sRT_UIJNvq%Ol=-CYFhx;*hco@?RAt
zbqk|zJxMTRRM?_!9fjSmdK=1L^G>}2Zga~7zt~SCVx9JXMYbLQSIG~g{7;`dSetP4
z<+qJ!o$@*ea+5!41xSdI9goYWCEcy`ZUQ!Vc3?>>3%(Jk62VJ~-e{<C*u^Uah#$l@
z{=me-wAP}r7`o=PsByNnlBEGZb|`TRaWjR4;eMc!vGB^yk0L9U`a(dJl{fqS=^0jU
zJRyF0&EmBqt$+I`k;LKasMn!m=H0?}#@rXM>N1d!jXZ39`Wi!MekQ?~Vqz0oC`ITR
z>&Oz$_p417@8+^+h;}fZ$_iqN$=6BU6e$)?f=yv>oO%P!_UpEXnzsInkLDlMWwWiV
z*nk(q{`l(8#_b<T#@Y1mJmN_3jU=+aZ@YJ{9$%w@G$5b}ToLw7z@)5G9{KQ!kCglJ
zsnXT#NRfEfzil)mc)@bHIsgO9zvW=3rFOez`ROUu4vZKj$b@l4t!y;o<E5?5NU#RE
z4VcP=g?o?A0(9vezN6I3b!k49UAqHut7#=|80ncUgAyqw2MaImxB3yhB~RJq66Ne%
zq6DTFhuz+7os+vgpzb%(Ydbx4;QiEMourN}E-_mVecM3Ll>BE12J+U`RtORFP+vM;
z`u}*POQ*oWOiv3z4A&-a+nc^y_B<OV%_!KPZbN~o_K$Xwt&vGZ;X~j)m;a6rf#=?5
zQ4`qPPO@MR+VMAQ6_h+=d3#Qu8IrU5$JypVk{&r&fYO8DvpH?LOdjtj=Y-ORnKgEZ
z6zzd~{V3(*Ne9m8nP9AqO^-(HJoTKHfR_g6guWm#X7FFUdfI|4kQ}tZ%$JE`w14FD
zbhq9cbwV8SuMP_9t6F}j+I(^0T>Eec9f`Q}hjZ(-Z($Ga<5drr<O~@X%|>8KA}51=
zC7dtI>C*l=bU!KRqUfj9R|NJJZgL-XZ+Kwmw`Y~k4N`%3FZiO|doRb0Vm<qisU^kC
z3tJHQ&*kt~6D1HgYV#d2)3HS&k@rHEVvS4r4>SK!ZUGzlEe?28Cvk1viHp8Me9l&q
z4cy~0gmkW_Dbj?LD2eO`H+dI_6)F@vEt#N6Wg{l??)JbW8)YGXx++E0X?VOgkTf&R
z?F_hT>HMz2zhy9<14r}uzDS>=DYzWo{eJVSgB2c@MqG0zbf$W$=XA2;15snZ?Vo4t
zPmlVP>F#%BlDj0CRedOmsm6y(5kvK>mwj-k?@)KMGET*ZdS1<L`Li_Ll*)^Kq?Z>S
z=h}MH#Bf6+DmFWS!5S?>GvRNRlK)Y4zGAQPbDqZ&5SKlnJv0n#w(dC1F*Vo^RVnmL
zGa0m;jF+WPwGLjj)7y`b3b=g+Amq4tRYD25VfMIrwHE2v$b>!d_FO$=$v$oLW4%$n
z0woL<q1ZL=7g}NAF@xYX_EdL^i5j=Vonuui9^Kfx6Ft|zy4u=}JKNV9fX)%8<eu>a
zy%%Jk{7Vz~FZM_|`aR!;1j<IA(6WNIs&1GQ*Xyu)Ars!0Cg(aw(rV!=MQE?0F@iqP
zo>r;Ch%?^Y{&s06U|i=zGyI_@8Z0pC;W|=N%{|CISag9(C>9VZEvdBYpHwZ3Wir&e
zu0UQkxuMp(w-dUN1~M^tQX?p{w%sQ!aWFO8%Ol}Sdykp$AfI)UH|!>DYirFK<zq-+
zjshVlD{4;MPc)bx6jqpOfUsHO4F`HCi<H9%(kw%oKYU6vT}w`65mZ#COfMBrbv7%s
znQk!B5I&?ln8pym2<k1@{y#2&W*P1fxDjp{-+YHYW8q?isxid;2r0&`_VXoB?3Ku#
zTLDA@V3KpzZt!_s^N>_NV|&^A&L$=IMfZgIIvQ7%3CmEYL^hiS35Xi^E*|tB;Sc<D
zjq|h&Ab6H(^}8n{umr?Fr!h(-J0Q>e;}ZlPz9xJL*)N(+7*b}yE)+6hQT)4oG_z3l
zce6W~!8X1<{`y)JxYC3FmgBM&^zeop{q7~jp|i%gGE}%BvcB^#1x`-qxhDI%C<3ZJ
z&70R5-}DLb=*S=7bHSN!HYkWPDA??NlN5LVYMSyI-6_ylb_(#&kCyD&doUC=Il_I#
zeo4|74<^Mj5wK5bSOp_nB_TrAT!fbPuI^f0<(97sCmB-N*{)2OpPUf{Ew`Bc)2AMy
zQic}HIYBHcnt+?Y<M`iSC(ig{;T+#@bV589UmS7y19Lc#3;qS<&E9x7skhY4X-ZFU
z0z~x`gXx+NzT2|K9y4vkzu(GC*bu2NT7MnwbN2Ymh|AR<Qe#Rui165j=rmPqc%EML
zE#mOWH4+UHM7H$;WIO=e1E?oTOM3&^wm`V&bX4pSRjkny#X3DiC7(uhl|U$tKSH8Y
z{0NA@Mz%W<jsdXwHk_?<6$6v^x-aRpNc<IUu?Pgx<8}V-bkLx@4HnXNf7%;@>AA7{
zZ&YL!QlwSPkVDhW%k`Hc!Yr)(q?#Lr2~)VkG<YSoO{*}1T)NGiCYN{9-~N;di6cIi
zVXED5i-o=N-?~E^KM;~*M_-^y62Z4O)~4uxjWdbmu9BjcSkRCa4nie^@q;O@!X|@v
z_bsJyXy!-L(bgWUu(rF$;NtjR(UB!y0<Z7JA91&6TRZgk`Xj~(7|MXqva6ML?<Ut|
zy4J-792|Q9;an{~p?4lHHG@QmqQvvJ+cZErcjMX8q%ozHNVJ$Y@tRE7F!2?F{$iBr
z&wN(n>FdA1gp`x;L<0%cNw%dxP1rEug}u18^UzyVp87r}{LyO>%w#;%at&~X@aSuz
z`h5Nj@|%=(1g<hQOu<*eN|FsYX=r-a-wQH;7HzK>JuG{{mNK{r3-)utmmpM4K2xyi
z8ZAV%9JhRqSBQQ>^W7U*h*^;t-<wG|Dq92(F3r0{jvqHXgcruen`zpa!qMCAfu&jh
zu*fyb((2fHcu+B@a6&CI?{Hs%ar?!vri&+0t>UL4nu)nGRjU9P0|@*Q=Ys8Fi&18i
zN>3J(>F*g)YI61x@wNbLWq2_I;yQ8d8HyNH)4C8;hML6%FINjM40zY0B^*&~ar=6!
zSCIMPMc@~Me2dNA16s&fsvQ}AkP&L-wG2o>;41}e3-J&}O!xeN7x}FDL7`af;`KYZ
zpo1!*k~H0xaz!@zyTPh2rDrRIXK2uEAe0uX;_?2s*>VvM{2pIR{wU5k=@$siTMb^B
zRPrBdNg4E5Zv_FlOF)y-V7uN!VB~$flV`*yfQBBSP}*_;|50P+{;!W_zvV$yELDh=
z$Pw_p@ubm#96?9SR)NkDou!4tPi-;n)dO7=qNxcirJ)+qMgotFwr^jzVf!`=0%N}o
zq+%_xSt{e@b$#e#p*k*A;(ET<vfXX5hFr1%#1|3{kHul$CoJs>B8+%4a1f@QW(m+F
z9p7zFl<0N%--NLEYE#)ll|38F=Xab+{&+Vn+S-{ldYrruS%)9dYO2h#Yd%MF7<f;_
zz7ex6c(Z7zaA8TKpoeAP>w^zE^18-GqF#HR9Vz<3cz^i?F(6RTy@Rh_20`YrRO2k?
zmHUzg9rZ~JG|8)e5nnj#mT#lv@*JDljB}L0IL0E4YYkd61?$UZnrpgl7>5uh>2|Wm
zG9`*uNW0Wgn5GIq-_{ft+s;)5t6~LHiU$)e48LfMPoH8?D=NkVUao-n<+Rbj=b!cN
z7AXMz`WjzM?7J`gHSbfjIJv|E62!_c@Z#mr)vVEh372`5YVF{i=5>KSkFpNaeU$DS
zFXp0ZfKhX&(&u2Xp>_hIVCnQS;|HK@VeLuUF#qm&c<23EOWA^XZedGy0uj=^AyvNm
zy%j0uqiR8oqT8&UsSZa>k%IU5pY%=h9IPggo=Ui6zzR%R)$2hj8(!~8!rb=>!@f}}
z+*ga|VRr;?skVH5{}$~?d{q6)F4GB&Q*v^07+u7yxKn+gy@!S6_4Nee-`!|_#r5v~
z_WaIPGw%+h%u9vGkD;E+%QG{;K#e7|Lo1a^GQp&rc=TZ>Rlg`u>PD0vm=UO-y$5QT
z`jO(YV~IvFQBkq5l;ChSyNC5>{p;Dze<yz`Pv+>=`a9*s&0cfEgoNU>0xca{IC^O%
zosVy~m%4ti8F1#KsKG?D2q5`NwmX(jG__V#oPIMJwVg67hYAR&NIlSScs6JkPJ%Es
zuZsv-v3)1L=WL^$_p>7flLgf^2<ei7wlgjtE{VnlOm>Z;%iIUHm?vt?In-py9yghA
z@jw4;YLuP_izirPEA)lPv0foE_y>q9(M(-dlY)66mt|8pSjN}>9Y#5T&u{WqvMGQ1
zi)Oteb`GJ@Gp50+DbZl9;!8WF$72r+dqC!}u(04HwCN&}%CE=-4t=-3k9Hk!kRibS
z<l`tr_@U<2<EZ`zl+CdFm5ipVZ5FLa8>8?=Yn%Eh!f1SCiG`Ka1CEc;@?xaUyMEw0
ztvBJ}wed$fo`C_m!41pJaX6deri*Q!;eCe>?u>%(3si#7ass}rXSlDqEPLO)4n5cc
zlTL6Nxioq?qM!7FIQqx?8xSZ=qtcMwS1H_v^5}L#8J1jq30%t6qs)LJcY?F|g^#<#
zNuOB5I>Mg;8mBs3U3~257Z?mNf(RM=Uw)D*2!FlklW)@C=nkG%sWfT4`hpJ3yE6MR
zww~=VO*PfziF&4y43hh2niv>mP*{CYJDMtV^nnc&L+qbQCV;h=q~t=%NRMoITw#99
zT7yU*ukQ7M5?D+Cm!)!C3c`%I^X$u4V0O$e1qLG3VcL3s?$bS70*3!olE315@Sl+~
zz~FaxzmcG^rldeREnXfw2ys1`b5#GmHSY`5N!$M|z24S~Z7Q(&zcw){o9+lQB=0{B
z&r{P-@I`&Mg^9(=Zp>bJ+()F6V7J(yny&(6C)@go9u5wtZl~D=xD7P=&4C7@Hn6Y5
zvpHpf-gk1E4BrUE<$>Iq`fupL=0ZznWHX2R>^<PYVv~?c&b3I%rF7Ig$1^Bnv*OOj
zVaYW~eOp#HIkR)|1@QlTPRBb~H_~3mSZ*b<?Cuu!Zqy&Io4dQ$hcCraxr4hByF<xX
z^on!x-}l={Jd&OyljXSg(~lbuP*T8|b{O$v9s7ByzZ_^5gusn0djBOiWeWJ)?*k20
z#UyyJ=4NKxYzDQY+&w)7Qilfyz9;T}C6^tFp@y#^SbircxCB<GrsmBGi63dtmDhT5
z&At>p7j8(BK6l8mY+Zs)N!u-$1#dq!cH0y8-dwFdpPIHAM|a>z`f$qs8l;+4PiYwq
z23ZfWkBGH9baGO#_dwUpy@Y{`4`?d%y8>yAhOD_MB^nsoVW(l4Da)oRyNWHb@79~a
zdeD=EPdfv~nqWKWHY{gKBry7f59o`7c1W0Sh>5GVihCzWomB_adR~_Ly?XnOwQOp3
zW^vK0nCtc%NLp3OFG~vf>O)YQIF|L%|6t4Z#(ZiHk3~-)Sx~83R5f%^TeZ3)QyiQ}
z0G$G~VV}o@G#*W>b*Nm7nAI?Tp$Y>4kl8nZq!r|gXSk};D1VQ0B+zHWAFvG20t5_T
z&{9e*d3t@aK5OlwAV5t9ABa$uw+QBD^R;#$@Fz}R4Z9m4<4f1%%AN(iD3dDTTNsSF
z&<aGW`3@&DI04a|zX$WRLYw;Az*9KhRw!LSGiDI@(q)=>e(G2Itu;N|q8m~$4j2Hm
zjlen^T;TU_eO-ySw?Mi<Z0zd{cRnR5rZ^Y@4hVKqADn)`2wUZrYNS^i+$S&7<ZX9-
zv2!$#zz64hQI+&U?=V253JEwATuX7Gz%sOMdAVl*Xng6*Z(<8?5L+0@+3M+4So<bu
z70jKyn^SLT<2BFabEA@085r6q%i3~QLVQXuR~&-1h<l~z-_YsCxAxZyM-L19jlc2K
z!|pa)8eEZ%qv{9Ku&LYA^s>bTK%mvt)omu`DXXr=>17*&*<wZh#;Xs3oydBd`mV8R
zaba<0hVH3n)BO=#!se4sHZ-%zkn@-D$IfwPJH~8Ta3F=PxES-9RK0Zl^WqhTxf0%z
zq$OUmhA#pcl|;kaPiUOktf<S3$eYi3McLy>yh#OzTg@2+GJlaEe1ECK(j~T^2iStM
z!(b1Dj;Pi>_lc?7?%*^d%c70_P@tBi0Ou<%4UeN;XlS!5i#qKq6lKocEnJK_Mw@zi
zv8`zp^6?i8hRh}vUOsHM-wSr^`e{1CKn1z82EFidFbM~2#HFf40DaxG=$B6WuxvdU
z#7k|0hv`1rs`#q6m0)Sfnw#ayD3)qA>PlvBIOr2Zm~RXM!rycuKFzpc;+i!Eur`H=
zknaX8PkuN}`?TsVxWH-G&gX6(SiLUGXuk-{gBLS@AC6()Sl<W)R5vwXCz&M@66l?%
z<D-%T`suHU8Sb-Wns3aqkD-7rDV5JOSY(De?Z}l`Sy$%%R!I~V&3p_CCpxda$%JpT
zN4{WkHxG4%_rFq4<t-b=zaSg-L8c`B^aCK9A8jfQdOlh0`u^)Ka1#;|!r35K;CM~)
zLts1|(+Z_ym&kh*HADk-7}A?XyMLzoOh8<?cpjl255hWAMouk8&XkY7Zv4rDfwVW*
z9EzaX>{cxGGC;tT8eAL7^n2hfHNUv{CaM<*0*GVq#1$JCA20Z%XUn3m=Mx!%=O5hc
zSn)mgwI6Cl#egv7ZsHv!Cre=Bt-*I+NV`L&koyomP#c=;`2iSd8Hgu9uEjx^OM(eR
z;W8QYb&2r@JxM@TKR)7*d@_w#Hcmw-(IBea$hJt=$nh^|<Le9fP|5c_YokJ5R2C@h
z?(Jb3aw$!^Q-6F0q^^Nb=V+;U%H4`DJz;(AnNR|FNG#@FWB>pDCWr@iu3^(kUh7;7
z%kX;OhNaqT&wAOWJ;+1Nh>`&Fsaws9i1P=I`1h$>X$!X=Uipc?{_k*wn44})P?e9H
z4C?!uA`f0S3x?l@b@Br1*u;RfB^0hNVZKS#3v<Fxe6UQhyF!}xG&xjRr_6CCnm0!+
zM?Un<1nP0Q7K+$E+Lis7;yyXRI6{6a!-c%?H`C-!mU%lZi(wBUN8iM5p9%2v44L0f
zeZ}v7*@;S+u<d@6O(hZy2f@O8uw3IKCu?J2VW<06;<KjalCcez7%(Dd$O-<4wAwJm
z3)V>{^K-FqMv$*on8;i~BIpVAz}$|`UD7%JVY<szK>5?m3oY$M6Q~5mPjbS|^_Xyj
zlaAd7aB;m~|F+7dT`H3UE-VMRwnr0nb#*}HAQRH<Bo&_G{Ss@;Pvrs@9|B?Na&f#e
zdXlN00yh7#{lC(T6R4gksy)2hY3dB|Ko)0PduP_+W@S^K%oJF6Qfr=)J1QZcgjGLG
z<B9JP8=eDED4)#Tb#gi~c3ZHmEzP(Vrv6nsk_rd7;1KXGsDEIBHstglPZ;H9D|wck
zf9^7@G~~0gBRuAbgv9Lgw;b`XhiL*|mVSg6p{6~RtUXJ$XyqR=b6hl#7kc{zlV+RW
zQv&MBUlPW*2v>SsGc28WqGV&DKgH-bNz*pp#}lPO+IU;@4>s4=*TK|yJM4iVwFf#W
zDz^_@_uuShtro<78qsWTZn#oZP6YJ}IIFYA(cyn3YZ<?^3dSr{;4*sIt-_oS<}F~|
zfxCcyt!GgTY@Gok+C&gxy9uOhf_3%RbqT-o7oCj#Y9>jLJXZ@LCQm?rA3x8|h%n&s
zbpp{HV@8=ZiKbb^&v##WE(-|QOzRM^MBzoi7VJgU%HwB=$gKM>NuJ=O!W$mRlLYCw
zpaKomR|H#JU-LHLxj58e`R{%wV~J|m8dH|yaJ?0;w~+Oh`5mUkuq6obq`x_X7!>Q`
z?BRW8g1)#`{l*Osj}(Yb5XW|T!4SH3fA7hi8c&P&?6VKr&=4M?LEL}xcu`SZei8_{
zFJoEU*e^av^;0(vyk+=k4K}fwn#&VWsMP`BOn?i*ry|bPh@akTomF=_rmtp2t`=j!
zSA(aS@P`d_Vl|iEyqHP@pb3A3-e*J?nfbof3PPA?1C1D9jEqEVm=YPat%b`*24ud?
zzKRib-+#iM``1iEcHIIf$L>s`xF&`tbAq0-Tm-91UcfOBoO$5rY{6(?jxcLl&}Q4~
z{akmvEe64b!!6k$vKfbYIbXa8x;f^k`y&9$Ikdpt3!sgeynb$Ci~rZe7U-42`HqR!
zutUTGe1*+nU|yYy8U!caTxPabeA6+=s^~}vX2OJxi#?#!{2En8g4ufljxbQC!B#9#
zz*+`TE<`*zfYht2xqrZDjXPD69+M5p-?Z{ZFL^bJRLGmp!*fWV3R*dYvgJNCE#dEn
zsT1gK!nm;G#0OmBr`Z!9uK>9>Cl0yF+PL4-HhlcIqtGz9s?5?rO+&ZCTP53WaR(aG
zekw`Cfc8o4??8Sj!1o06YQ2l>0&JgFq7QB-(cKGI58(LnYRbENm$7~GPnyYLXh|TY
z{HwT8ar2iesF;qPUWQz4g*cyao_n-j&#|hiUCtu+`G2BQ<8Wpcmc-(H6*?=$=6Kg;
z3OeK5q;qm4Hp_A}%Y|JVaE%B3Tt;v#ilZVULG5&GuGjKMyEHQ`4VcJ*XI*|lw(WU4
zh5x_nIkB_v@>s#+-j~d#>O8xP%KUQ8JkP#$de2LQR6cc>W?O)X0Y_E386K0xE?skJ
zsL^I$&u%|u`{wzwUVksZX~=>gL&mZ+u03MEi8+D&yU==qJ_mSJ<Ars5H<^VLRU02j
z)Xkc60+6fZ&%)!z#>UzjMdhscXTv@Sj4<x00_!Lx=_}YgR#Xrda#nul4HhMspu190
zY`JI5B%g<#DztNu`iB<aaLa4P7{(;sTyGfGUJp9)fpFdX&L-bkYi^P#_bnWiA$u7E
zObpbiuv`oh1n$UnA_9AsK!b3LG4t;;b|};16c~h@;pJDmB-1-iU=T1YACyNi%0Z1{
zfWO<v;hoyB*Bk*@@Ns6~90NjEPj)YO_`n)@X#+*=?r8ECVJ?M@i#twB<J_a}j8+Fg
zSr~cA0u2u4Lb!!gK@$*|A;Qne?l$T%E8q-||GyoMybIKH0MpEkvfd)nr-b_(j^hae
zN3@E)ML0GfZD(LB=Mf}UG&GC1SnE!qmtgucskU@5{^v)FQ}g<SoV@&1uSY``cA^0?
zFD!&j>B1jEBJXXTUJE||vKN-o5cnA0(5ESsRJRjR7A8&h=n*`|$_TJ6dbhSVH|yp~
zH%)p9K5Nt$hT@`A_8i{8AUUSqg>x1}tG2b}^<OiG`up}VUZpZabRyyK`&31i0$)W1
zWSSc87M8ty&})8zy1Su2IygBw@eVv*rDbGfM2&vi_uNHiX`1lgM$+KA$T4JQpR}Fg
zdF4n+d004EfYG5Yi1A)pfjcw%loVC7E4bNi&snU=c~1?<s4@^Xt9Z#EAgmm8gH~3I
zsGWl>K#K{)z>D@gvdYEP7+K*AyxZaB?3;HJKH4o#Qu#-%Pu}dw8wkj6ECyiFJ6TcP
zSCmao9graQ#327GwMF@PX2|zH7(%^SZ+U5{gjgLnth+D~z6=G_raUuP`vHsfj<mAM
z_%OLM1_y%*H75LsPP}v^5a45$SsEt@xFk^M58~<yR8L5Z9(kd=%1Z*HTpID+Zu|Rh
zF!zAZfxf-GD;zN^P97#kgXO?zj+9qF^yQ0%1Dn)@({n~bA-b3oXyb-P{4gP8j|)De
zA^4Ko*Gy&R_-w@&w7=0=mO1Pq_s)u@Rnie?wwELaa1%?dN<!r>jnDs)2>t^DaWtuA
zr!QaljLo)}`rWT9Jiq#432Lisx&B!UvIPcL_Y!L9p36WBCqi8PBfdf<MP2fRAUeLm
zFlPaHgr=8yG7&Hbzx#n8<7X}hzvu}o>LTJD7au>r$Mx~5;rF?(kU`EI8HEhm`l87~
z+2t$7A}#^KDNCd0^Jm@D<bT@%b7&SAu7lazPo0cyRfc#LI>*Q94%UUm#aC$l-G-aS
zmsm(J!rGIk^W_=DxufXl8FoCb^78V4*dSDgU$;Nu0!+KIph=Zbzj_GCEW_wmb@&jO
zEYl5l5@f4zww@+RYnrSbCn@0&(m@%T8y!Q%V;wfhk1XBtOzVR1FJ>oJSc8F+yw^3;
zU}#pEIhQ3G6Z>QwZD}Mqgwi53SiHl{#Ny%GyVJ>=mMDOutf{nw!P|eWF-<{&nkfgQ
zjKM-^(U3%u41N`!_MeZFku*{Is!QRBe-hS*r!9R$@x$n;%+T`PySneHv|>8IhvBR#
zde+@(%_BqnrEglD*+U8OLMZohQq}c6aC>}1k3Uk)FCcKg`i;~{0)m9<i-c5U3ZeOi
zk2_{;GvWoGkV}v0Wp9=KT+;CW*Wj@D9^L7GP~HR$^h$fcxcT37=Srqjxjaf<;?T;X
znz9AAArGq7*U5I_<XL*9S1^fydJcS9qqc<7LK8Uz`<oCTtcDMUImI5{Skz1wH7V-6
zs*2b>_<N}`re}s~20z`%Zwepgv0sM;jb)r93TzcuPNgd9C}Kl|TPD>I@tON4JCBn^
zbV;bm5Q}23Fg3HsubZ6-C;)dSFE1~wJ1eb7ucq<N*KajK!iax%G4;t{UIJ-#ux#IG
zTaz@Hb0ToccU27uOXv7h*X%2duPgdZ>ab~W(h0(tc5e1I1(yLV?vhH@_3o}EaW5@x
zaY2#pO0qEm>^05)pEjc<z?}k0rtd_KOVe%w-XIn|loww@DjLB!umctggRp`((_M4y
zHxE9mRq=nb))w~Xrn>j$7jzpKj4dC5S7uV8qg~1uWPAu5qzxZnr1EPY!pi{_rezSf
zCkY^sJYH`5561oM2Ex99#;a+Wz<1h7e|R`97X;?w^c@KjK{TqS=Gd=v!5q62iO?xH
zDMW?QOLOUdkE5x815Yi>xX*HIX2`W?jbc3?fhhSm^PTFvM(M(B^X0zQ9$;>OxJ{+z
zx}k@qv}G?qG6u-lo#`)EK7f998Li58eo;wOl1l&3pjG=ygoHv$&ut3bS;Z(q-;|iF
zZ651LzY~950`;$Dw;F;wZqbJL5UnE{HLNg2R%%LW8$Rg0UUh!vBn+wl5QKq=dBlAL
zx>(>Eg17F4Sya93^VFQiHXsmM2oDc$jDMTL#etE)h8X^9BxD!Yns;L@_h=3r-t}_-
zUA1}`Ak_HQ*<sr22A?v3WnUJITU@>HdTMUR>9)n@VC$^Dn%gKJh*TBW^k1OFQ@{U+
zchAYL8Wkv2C5j_H-q=~gPRR1&8V2%{`kp#iTp0bGXoWeK^3+@wo!-lp!FIQVS<{)&
zvwX}3ODoYYLYXjxxd$9RMn>yb6%#)9C%s1_kJY~J`%y}EA|G2W@NSA4%#%I@IX>#S
zqlA}(#BqukCBYEV8}8jX7|G+l=^wDKgBW0a39ZBwoo2Bz=@E}#*j#q7Qe~CwIx-^l
z`6C+qj9_S(Qc73$X6ge|A;i~`ffxX4(bdz_i<%D0qO-yU^FBPzuyJ6!!V>E5V7rdQ
z{N5A^2IC_NM}C<t>`=7nhLr_7?4EZWSdjXp|LtrGzQ8gfi;jl1;-@!GGaLj$7`_?j
zc;a@t{z4{RS?XQL71MN}@jIg5zNiGI)GSDJCdhuTtg*>U4VXvIT=S+8MaTkIv{-vq
zBASj1O0rGr6XR3Q>=yS5)e3|AaMY`_5Dw}98Zizh=dXE~3W3^Q)_9k;-~H#QiaaD&
z$nvqt5|725?Oe_|H^U5L{{<i_HDBWY7aRiG*JA;B`uJRn1e2a58Ph2(LtF$khIoC%
zIn2|)%eIHWBBOwxZhnsCGaF9!OM8Z&!fm0&ul`yZGc;}qVXQdfJLnaw=_*`pf{<b6
zT==j0rcMxYGMGvO0&}!KaHWv4K$`5jTE!>gC5PuN>cZi<>l*nsrnT*k22sTJ623d{
zH+E1EP{olnKT$7dv#)3g3A5-$9YDRj>cF2buz6ZGhDY*+NA=u$t+{+nSoI-8UPMfF
zO-&u8_<~d}dDo?p|JIvN%8d1c;m4x=ldX9J&EmU-Rt(Cqf10G2%L{sMUHd`~g(Q7c
zBC;|#lRlNF!HR@cC$CCJY_>jLl(wo5djnfDrRF5W&cS~VO2iRX;*^6G&`1z*<>8eG
z-3G!n@ajo&5Oa^A0^^8>Up_xFQ)=LkwoPvcn>D*ofizVSyLmkgj3FppGQON4jIbn%
zD<w1`W!U0e?S09A;{=S$m-YnTY-3@*At8~Yc`cp5dB0GP7TsQmpApUZ9^Sy%eMytF
z3M7e^@;&#a`V{{?H%;Fve$Ig!*He%M&RPsaF#$u3Lx93CQDuy71AJ6&*wKqZaZ<L@
zmXKTw@>_9J&$3U$O2|ML`23I5vy#BRe;*hZf(=uLLo60Si1d5pcgfcO;{w!c{WUF`
zTFN}E-ac@BaU9T2CK=-~3zyW6H1ZyanvtPKO}#k!n<FM(jfSZe$qkU(74tMTHKpb5
z08kuDsG^0<f48Zf`a|2ibSfxaj`|ot`W34?%^x0gOohWu4gw!xh);;4-jZYCq$MXI
z5U7<hG068sG1ZbGy<+dIC29n-pvCtqKp+j0aKw_=vJ9<+%@v4PA!Kc->qXsv4i203
zT`piiL92>3dL}R$|AYU?#nY3x*WNl8l@bF!r41G%TAb<3DB2ejCBU!vuT?<10hsOo
z-}dDF-}dB=4p3bd{TAY!PULV-hOh+f5l0~Z2CTisMpqU}Hml+(Ld-$FV`*^jz;D_U
z!iltM6!Zr{KDC*1LIT@TYSs%s&+2<!B^+sk2-DFsQ6dEVO}=;u!k;*?ANxYkLvebp
z>wOl&Q^=S=M$?j)s2I>eoqOriPo_BsZ4LQjE>sS68CJA)qZF&F0uDM$E6+DnOz=E_
z9Ub4uM80uQ8w^Rku8f_nn919ZsQR><{!r>*8d?8m%yHY|Gy561%GuV=A6+eD8uZ%V
z1D1e2U&^WzIhOIi@7wbbOiTz2a=s2d9pmV`QKG0`JUqNabxhGXb^C{&v|5HxLr%hX
z$wC!ed-CsB5TWk_jAsk+NnkL?rrY|?x|Sa=d3YWdLG5bwAKsl-2o~`>US0wdyu788
zI)}HKXb@ox9MyDsfp)r3kog%y1@=Ap7<IT&-fdv{WnmG*b_qTaDD}5*1SzztglD({
z5Hg>z_eV9ugE3XUe5r@?%25IST+94o&!(ILqr)>g|0d`o!R(Mi`%T|uO7S++D=@@;
zUsl@kh(6lS3*bQD>IK^160}0I(=NhPM_qbLxS9?EpRuPskORqoh>Hm-y~KosKb)#k
zY&}_YUu<;Oiv>p4+v+!ic4~>aNFYrf$ScichOIy?aVG^_%rVx`Jx2a(M$uy7dhpr)
z=xhpzi<#DyiT?No3;oi~B*f28NkO5-gbVp>sON9STxk$(QImZH{H8%N8BFC#TB#m!
z@7+m8i4=x$BRvNyC+*m80u5k82_qKsHRwfIW8+?yD?n{alkR?i#><hqCkaGmhi%-8
zre&x`4JdtvKmwUG(mDr!{|@XWrvR3vv=bj75O{L}!a$B0LYr@&+<<d{%Hc4>Yl~l8
zG-ZmWN{H6t#dzMPAs92Lc`)c7J_{0~EvFSdew#a}0iwsS*Vg&AKOIF4yF8H`5_VDw
zruV|x)R5dV|M7%oJ=1$7W18Gf47pPYjG)_!*kH~ICNqa;8}51|c0S9O7Jx*OdV7(@
zi<3Q#=H7$uG=nlnnmsUm)>K%;0s)Wy9FY*`_bmovT<TF6KVQ`8APb9MW&))6Fgcbd
zP_JNKyg&TCuXW=U-!YZ?CmeJO9cz3Z0d2R(LDahE&Vcc&Jpz;>WSrNyL<G6y7B7Qf
zVBJEeIZF$Hbr5&~pC`60V3q(SX2^kVgBll%%S(`f!Q{yB{|<+EDoG{mZup=|gInoy
zJ<+iY!oe`6c~4LWeR?E@|7lvD0vq>9Kv2kAZ#Dk4ixVMnewjf`tRI5Dv0-_E9ha<`
z>JmxV&u<x!PmC#62~_>5v6H1)%OL3W;&Sj3Or2!9c?W+bN(*hP{tkN8gRg}h(mK)b
z)WYu!yztutUO)^$VeGn`%C@z?Z!JI~O<!ES+2aA8CYMHarkfV$y{Vm@{2`QKXRMyY
z(wFNOvGHi<dl$DaitKf=*+)frevy9rS&Vc{)kLVKpFpi`WtA%@%+1<B<Mrm%@Q%Bi
zOp2Cd<E%A%Pq60fNPuFM22%``d$G!reJ~OvoJ+!Lo(kT$-hgt@dbT4HgU<SFak2F|
z7^vax7l1JyufETTOKU0E#}C=q983hegb&anmhLe;pRITQclqdY<nVfZj~N^vYlFWV
zpRx-5-XRS1O^KNNOwz+U2x;f>6MEUZW!OV&!d-V!MCU24#OA*7Myy6D=N6v@5{!>5
z?+c;$;#hHu^YxP(NaO}6u#?j{^bxZlL)|2B^MlVJb-UbyH-M#m+3)_4a?ivn9UdL|
zxZXaY5_D7fZIX3$wZ2}CSic50Rz3gfZDxl6ceH4>xfun5={ur8_FZ8g1^ot4Rt?wq
zOlScB<~_+|*p^m{JMp8+N}+3Tb&XX6^F)M3H%b66oPSrQg+6<CUU%2%edZNMzsjU{
z({$<u=oRl%*h~d8x5dAAyC3F3SdHwn=TP9f<Ah<Wh?y3aAC`}7tFQG&Mn_xk4jT>q
z<6cC+Fn~H#v@of7i+#}AYkhh+ns#P>Zrq!n+a}`eg4@+UoNqekDSI54I4~iE#3^T$
zbJAg@TWvT@M{db~__DE?;aGje7P3VAGN@BOO;x0iiTNQF##=V)_40O%^4pOXP3*)K
zp8~K%140f11Dl{c45ELZhWeLne0-ktd!JlU)<byMbzopIuKC9DReA@m9vBgcz+D70
zIC;+;6{ft+u;L$!=9~amcU_-t5@LD(<09gFE?UI!{*wPNH6!%oqq-N7TgM>VOE$3%
z4LK7!m^PG7t~=)!f{aY}X-o&uoGiMGcOEVdth+PR`5QXSOd7Bz1(YnuyNi5Us5J5E
za{+p#uDW>CS>Mn}w~Tzn19wK7nNfe7|3so1l3R7+B&;Vt0}m5V$20x|RbRVn!GJ~b
zT*njeIH1!yFK+Ep!{f{x*!lg%n*fxuaPaWmr^M`|*QHy591M-}Y=&J-l(+`?@FJRj
zhne7fg_i#m$>beHHf%2NKN~fI873*$nLy<F>SyS;SyqASmijcnjGhf!<7I^Uv_I1u
zubuvD!@z7C8d+T3a#TBi06H(;a6QJbr}~Y##QKjoi5VwfILm^V@T=&O)8IR6_BB8G
z!nKX=2_XfZ@73J<IF$F?Fg%=3$kUGY!b}N}+_;U8Kh!4?{q4^3W!MO7qUSf)0GU85
z)+sy@An{~W#JyGQC^7DZ=8x=dFwA<MLqs}K{_h7h5M!Wrx-2Mvm1?@NGC3A?x7lUu
z32tMhys`VUj~o&WMGC`3O4{1cG=ztcxX0iTL&-Eh4al#`*vAc7xdE$|8-Dc8&mfj{
zG;@0w4AY`ERu@w7^`B^lB$PzhzISrDg94J7nOXNFF!5nkXyD)x862&R^>@%4MV?dB
zKU4JyMP=qtR!GuG$XY?poNTMA3J2oMxwhjwUAHqH`EKkNzE(FO{QBQ^oKm*yzlp@x
zBJZcna;v3}`I*i||I80@tK)D}I8ZI+Ni~HM?*<0kr(>du8=N%}=Yqp(-Sf-;IytQ8
zX@q=?aZEU3|L$*x+<I6@89uIJ9{vJa4Rrg=$u!yhEDDcln~FhUJsf913!bsa&Xbkw
zV_>dfa&b^KD{AtVH}N6o5jtYP=%?5lI40be7NJ>6O`DIHakNpJ<F}p<yD;}=g<#m2
zI{c>L>3*Lc@~f_oeBu|>VHuwB64zpoQAYJ8k!1y)uVn!nx?uzgvX2G4fyl2%7spzl
z^xZgvX1<~zjOy*gt0X*vfxs4?dE0JVIZa!_K~jt{%D*(X0DLq)5=)&nhYHSM`El?Y
zW-Y|T20X_9#}oo<98gZSwsO5pduQpw8Dns8QE3%TE+UREcXtc^Kc=oaD(Wp-4~>8b
zh_u8A2+|!QB_ItV-Q6K6-5`x1-Q6V;(jc8fr-alfh;-LG<9%<fH_Jb+Yw30P&6$1n
z{`MCMPIcebLLc82sbqx_@f&P4rkZOdph8nhHD1j;D{F{U>^~`BfD%Oj|E7KJeSrIc
zH31jwvbb#s=RPwfuv7M(HxE)LfLi-D93wwu{i1r_6#|V$r92KfP=3aj7w}N;Gek7X
zMXe#ngoyV{igar$!=tDv1^wLm5lC2x);N91XV04sbRo<{kqfr!(&2)qugE3wp;8t2
zV%?vRX=OaxQ<C4&RG*`JufD<U+0%(7;Cugc<`ts!e{}5d1LT#JZXiPX7s{2Q*kXn`
zBmfwIU}w;#&la-*Qq%OKpjxB1z2%Dz$W;<CsfVf}2Koa6=*kukOABiB4ZD#lj{E`0
zP+Q+p5(zlKr&>1IxkueThT^@Ee6d&b)+UWndL76rvNSy*{2`&Gse<?%eIzFB`_J$@
z)|iP`m{p^Z{aw^JN3X31<$Me-^tZpD<(UC0h;_YZv|djp+w|cf$O@pK92Ib~ihi3w
zA5y7O6koE91Vv#TCnm{BY&*T`zhIfzKYwJ6QL9`-?awzxwav_JUpNTLbJ2fQ`W6sE
zfpbn##vwXHJZyNh#QbYhLqn0@B>fD0Tf!L)RT>kLnM0grDWGd)%Yqqr>;4GRK=u+c
z{@cZ~ElVXLERgzJpSdbu;eu@gtVJ+6k}nO-y|21Vd&;40AM*+}3)m=7or%On@~0h;
z5_@7tf>CG|HWM>Jj(N|YwyPj^oZ%0Ogpz>Ax@_;qD91ay$gO}x9g!zO!SG8LRBkfd
zj~n@QeJ#j=ghdg(c%{0uNx#KuOmOh=-Tm>Y%f(MPh`s~6NkYkZ;%Vvm*1Pn-5k}~_
zCr~$V(b{xWfwSuT<Uc?PFHF;o+HVvb*V)CF=iixMuxrReyTc^o%2sTI7=U*t?eFtz
ziOp+YfUjAf<$)zU%W2H@XVbcbis*c7Mkk19r?lG3g&dSyVBgHUbdSYQc((D%y6x3!
zibhKEW%?;V7lwwAX(aL|fO#c>c!D!h6&;$k&8zg$1Qp<slRj#rRL)8#Q`^xY0=PjI
zVm(0L)zox($xWM#NLGShZmm|!Zn0o9Wz#?b$V>i|&UFI5hUDMrA0lgw9IlQ&%PxUx
zfYK<K;`k^c(5JwW0HNf#XS`DqW~~_ibZse+Qz#l(97I%EQ2}f=V;%JnxA7wcj1JIr
znss2(3MwHEd0$HL*Z#0?daIH>ZY^!i%|j&DJ0jNrqyV6mV8L6rpKRj8b!JIAT{t%H
z97?}<1C>B5q0vghY9`W~PCO92)YlgZ<~%<=A#awD9+jczN?AbHHk|7c^~Ju?Yk%bx
z>=-O(*%0Qlo+rON+Lc7(pZIU4L!5cDVGe*12>yRIt+N=^dBCW0W5dKGieC^BfK+px
zqhAepKDzsj>n74usy2H@%2N9fYDP6ie{(m=x2ywDY6$WySB*qYWFA<B1B87ps|7eF
z0)3vJH%M8OeEUmxF$2YawKnR@>1i~=9cIo;0PzfV{=0id@f^*}3g>o5;m2aa439TD
zhBDotvhlPE?`$d&YCHYEZdKJlJlbu9`3_Z2eUjk4rh{EYb+w-`d4r!m9x8%`b@dYa
zYBWC?aKsNydOlgD-2v4m1uH8(cS5VOJoYfk;{|LG{(Fb8o@w5mEVR1%HIW~*{+l_a
zFELjV8zQaArky}=g9=(>bNG$V{p~s6*~Da_S*^n#AcwqtetC8u-K~tsI=W4@xK5@M
zpfI>iVlQxdi4w&7K*muNVm=I6p%-?tdG+#@LiXBc@GS%^??!smTT(zxMyN?Z>>p^-
z06xa`2C$c_Z^aSy?7!vw*qfgoE6GbzcQ3Y&FDEA6z9qaqq=Z6^7sBm;A1o$v-~9Hr
zIpEkuds(F=l`exZ2kZ>dB=0)Zx7m-Ur=CcTB#q+N%|bc@_=qPIckkYi;l7a&xjE>5
z@90P$!}g-TdYcUSJ=2i~8PSt_uX`#G@mjCD3slOm<695*OjVd)6H<W|{})q^?xEu$
z1+)W+lfA}Ouzy<jenGNXA5jtF8+WiELlX3NIm_?7`m3i8U|>ku??>n_NwV3#AWkC0
z=$>E~rIzxC5aID}Azh)rPM1H1wvTJCwt1a56WRFs$bs@))rc5=EPDTSTw`9qIQJ2i
zuy?zAnn{`oI)%`|kqo7LP#y!TNjPYPW*+gL`+(gj(hon*OUI%9DR1LS1*@M+HRacK
zD<Gu$nVu&<1uIb`epa^nqww4K9)}d+@($hfWq=t0e<p3B_@XIBh<yIf^pElE_QcEF
z3gB>_ksLk3p8)D67!1aCg1y&EixsMC_{63wtz$7GBkU0Sw?l0I2C$-oHNDT5A0MY3
zzMlq!5)#~CQ5=vXhZ#qLm$xkn=@i28smP#|&--=JS55+;nhd4R|9+_J!P-BFXhS(y
z_wTXWw$>9+4)hA7(U`qkpuWKj^ed;I0c1y&p%qhs(OPtW^D<lodr35Fla~~uWBJ7s
zXJ=>iaD=y|rlQ5qlevj&rYQ5S6HUrWT#b8gh(qO!Hd8`UTcrk7peX^QmihYR-@?q4
z^KwvF?jURd8v;Q_&l^%Vm`#_K+lzc`K%_Dx1QUUWy3JUtVdgS&<P34T+k}S=jc0<N
z=0QNsjS?y~6jE|j#Ni~IEyvi=E(k7H3OLWd!tA&LLjZ@gO2FVs^1bbN!q#5Yw+VBk
z@Zy_Z<2bVgjieX%xMpYp9DT+9{0~?mqF248=f*};4YpGPfR+KmZreutBJxtkr5!J4
z^W(QB38@_J@11k%DRDo-rf%c-x9B@?^jUs2`E)f|xVK<3W$^%Ol@W!NT`IAjE<^C=
zsG?uAhV*D!Rx~6$h9D(H)9Rby<y0dftpRCY@$y>=t@VTbXoR$nHjx)kTzu`X8ym1_
zxV)>jxKo1FabONIBR`O-*ZBKo87>(Z)#Vn1pHj4OKBlH(_JXeEx^FowUt{Yh67?|W
ze~UT9u!U$8!Iqn-|1c#pHb|~p|BVDDk;2bHd1I{b1Wtu1zif!UtcRl`{_d9KZLd%o
zH3v3PO_@h1+K6Boald00d@dcS3hO(*@0~IvuIpvyOvj~o7Tlu{#(dpGD|AIK8jvm0
zkxBaiKT$t7u`~<qMl(`0^=VthTp)7-E!qUJa1Sm7Jt!c7z);ASgN9Qc;z1Sy$qwk6
z8+3=**U)#(wNqV^AVE-Y4a*0y5fx-^Z`cmq8Jxj(Q9v?k8e`V(9co;G(hizp4IZu^
zV8h(>tNCN<XSpaWd}T$6M$3Oah2T}NbEQZ#0%wqwU8%Rzy}miV?VKXYxv(Iqd`FhK
zGILUw+O8G{o=Dzj`sFjiepec@9<BV`@){4UhkfId#uHHdpU_}0iHG@xKQ08}q2NYI
z$LLPnQ`9`xGSzJH_Y4R?m+EAhrQI#WlR@1+rZ!aox~R3Z1_EGF$Zx=ZzUqlMW+;S`
zabmKfKb%e#rKUK6J<oYV`=*uATov>1TVEthbU%7DS!wjquYV3%oJYC(z#1N`Khta5
zaNt+PAt&<3Nq_7^_|!Ets<*VgynvAAkBlP@<4E4y8Q0k0(Y&cajF(+|z;n)~X&j?;
z2V3YTPfaSdp;VSa+@IYKq!8(js<}o!k*?Ykr2?{B%gQ!Da1#(njZP-xnR&9fql(GF
zj-xd|rf_Kery~#f%NgB=3$VTApZl+TIlPkvBb7A+p$RiiH^43T-0szo{go;gkyh9%
z1L6Da<Y{53KFeQ%6DGBHJ@nNQqr+zSITUq+JkNJYzwEt-FUoxb)=WD)FLVR7(qvrX
zFi5G9#589;FL$c^EPySvezn1HeICQrcDlna;a7|?<Yqe9R^i^{)ITfVgS6qs)qR8E
z5MgONRIj}tj9w9bxTx~1IP#hl$E4_*(J&{BeWhZKkB?8}e$NM|Z~i?$sz3ENlFTt~
z8SFkXWESr-w0X-AJyhTq%Zl?`D*q=LLXL6w^uONoIaujO60_kJuc82V0qzZbPxe%K
zH#fI3HKqHp@9Y&ODE?9UG8adcB<;oO;$;9m(R17&mbCG4bmYi}Rg<A2qU6EaYg@0<
zRe5%3@#X6c=2`h5jx$DF9x(A2*N6T_f}w8B=KSo5n^%0_vbvA(PT!~pL>^#N>~}(W
zUX=wgsaUWDlwhFew`m=}2D4*^bM;AjG!Z^aWJr{F=QvE3_RqLy<ip*iAcv0IGlMU*
zsQ3Vd0CshaFUM*t$nup(7&q&cB|;16>Fmr!AAV@QcY02U_{unJAn4l}RAyRkPEJmB
z?j=w&A2ggW9rg=`+bkA-{Js7C`*iqEjG(TqEwgyGXBEo~=jO&42Zd&RUwz-43YK*Q
zEOp57oE8J#Gq_8r6#qWPyPS<zOGSSObSCK1m_+2$vK+IyH;1voIXY*%z-ci(I}d{#
zAH2;aK%3sS;!=1A6$kNwKrzw;tPc15$^kqG?7JT0KamuZFe15Y4{%H@;_ahgp^8Yu
z(`BfP;t<4Cx75>g$ZtHH166sL%HW&{DEDR@=S?{QR?XKJWguU!fvz(OmMa^550iZn
zt6sjJ|NWqC08_N|l+I}V9(1Etn;EQDui|e&*y|#At0x=MK>=_G!0Q>BogA@lrA!em
zdjdM@hQF@vAOt{HWA(J2X&BrN$!1oSr#>As)-$`O=iwl21c*L7_?sM{g=vK}T$Hiz
zhJ^aA>t-8X4Mq^zoX?PH$xf@hDKt{ItX6YNn{HC;XlrS?{vG2R+6^EPTBr?+$)9)G
z95n06TzFNh`*Mu<hn9EjJ<Uk3LqC08?gM3KacSvVW2Egq9vF81b^#RPj%*DD3Xp?Z
zUf~87vyQ&u|JK_2Z)JgTEByjtF_}vjr}&WqUV_n^4|awz#2>*kZANxS;N8cUtqfR|
z^|NWtl#*}pP{B7B3^l0%7*JoJmb<#=9x<{nqP(QM%0R`#2~1QkKZT3jU!J%3XNyUI
zNW9O3o9>S8r|bIHIqKzYN@q@-sSJhkIm6~LVaE%)HhQ(pKVKBOe{FqIdq9^lo7-eP
zi&57+?ks^Cn7QVLhYGZ%dlq5t_=g69GdJmKuG^z;xfG_#8ae<e!Ltp7Qk>2VzaInQ
zj(s0u#PQtk``1fU7g#mxvRZII4Ufe4l9?GZL$~`?Dt>B(hLg0l)H3BuUU>={xJm9;
z`V@J_y2p$P-jvk-aE}ko=b+65_A{5j!kvR&Vd}*g7>+wk_<Tu15g2NVQVUos$TC8x
z^FUnU+#KRhnq|Ed^1JgE&Zg>p<oa5B6>!)8uwQ1eeVg@kaM+*Ic+ZkNywRJxlNhF%
zWcHRYb&!N}6%~>r%4>UUcHHzrmd;G$QA1lML&SG>T`jF9U{eLZV!Zd!n@J@%xqGF=
zf#{I@9{;zgGUH5bWyn@o_!XaxL_h-?7Un;yhm*r?0Z+m1844o3OrjVI%ObX3ET4<v
zpMHL>bmw^Y;i%#?93{$<;yN<k3Hs}3<-GLB)i7#ddAV}Nx-SK=QUNzVS`fp(To}Gu
zehBg%Zf|b^yFdt5Kij?!WJ<l}FOz|Ztgv5#(5JSji*gIgkO0xc)N?<$-<ux5L15~K
z$}%D&$CfEEDU`k?V<%!pmSymHTxFJS5p5Ay8Bh~+w+3K;F+A^fs!1dWgt!fH6&UdS
zx4z`eh9Maa!h4u+_=9keF`Lct($ebPl9b@EA|h#j_I7$0a;N_F8ZZU0u_<5LYlnr<
zf0oID_i;6AT}@dQ(Zf%P)0jZ!n$(VXL~YEdU&j5b;aYM&`w{r@{+oMhT5_^s9PK{2
z7-x_X2rA<Ke6((+*^R!2pWoE)6L-fF!7a5D*1{36Jap!)d%>3_>?4>yn#W+>h!ARt
zkoRe{tk(*?lTA!{Zd*EE9_{#WDZU6by3M<g5RI{RRzI@=G(F&#?mzL=Mr%C02`VW~
z@hw2Z>$~{7B~~||-C}0_np6Th6#SGNlk4`gVK*!2Df|7$0dI(C4>-U|Y~0zfSmKXm
zI$_^+hI*kHY7;LZmPO<9+zP}s6ltT!hnL>MR9yl#)TgfXv$zn#faK7RQ~LsNu#4=_
z*hvRUx2P{{Uv2MXlgv;}eSA)1wUS1MQ|axx(3vAtZ=D=xWd+UcYnfX>Jeba)^Xhqk
zzbr!pG@sU_RLbYnUi$5j30fHl)nFl`FPzr?NA~3(tN*tp!0p`CB*gRn`?=}~l*{td
ze9gRgq%&{kQ5;75k*S!#qaLZI<;mrh*6bO%8RlpQ%2BHKV;~S(B-(tq78P}uR9+l1
zAgSF}6&+_b=#PCQ8wWG|QO8nf))f(wRW}U6RjP%N#dxq(843ZMweM{GzAb5Z%U!7I
zED1@JBovVvv+tLxcG5>;sH~=zV3rEM)E(oL=ho<9Wco~)tdg+!D`xMhVmr7qS8jsA
z)Spc8Blez{pTvA+q-xIYt2ueZpn&4DC-o(fJwvtLz#)tz6iiYeiJ0rY_1~xVA6qvD
z$gL$ZoKXp>{X^urf)*R!4mX(SW?hI(+dW2N)-)_g^~Qg-pzxYoz97Jwh<BWKT6_23
z>K}9&+H#^{nsn1FX*=kqTC(xNsA+P8!vx2=W@)7Y**%^}*zV;p-8Vb#j`Pti*<Ak5
z^FZ8k8AB!s((~F*BHL>I6c`+A#yf-`{{27`EE*}5&J2sEl~Ks}sv7_`#~(+@{?ykc
z`Q}V}UdqrT>$%L4`P%ZH+nap+WN{LM3*-j^m?o}(4{Du`lD-lA36na&jIzLSn#_!C
zA&^+|3z)aF+MfLTN%=eeMqYPlf&cEn?$ZPsw~Fiq(?1=Ai^rV~3yKf6<mFK@(SPJ6
zsuG}pZqve;aHu4+vEa&%@c*~~YL6kE7gz3%-_ok@rXc#50se+@pqG9QGq#GNfg+2e
zBG*`koC<9-ekvu_k?TvzV_5m)4s4{?xRR}b)dU#n6NFSV#jnc*l|@H!lUI+?-t_G1
zxdT;@@t2a&dl0l_%j@@g&ZkX(4&I!S@c1QiH(?0@7B)Jw`{tbdGG}>+Zmm|rw2s&{
zcn<{Ct)!h?eQqB<OmRP?f2%BoGC;@}D}>q?2fHlj#KGiYAeiMQbg_Lv%GSEkYs9mC
za8Abe3-L`Io9jVb5Z;bq48xp^bkI<vi-o>)07p+PL`u(Ld=ti&BI9|7gM_JIxl55^
zOn_N-WF^7ifdsKMSk-wluXC-$29hBRQK9D*7LXiP^5YurJ_cpX&cX7cUp%fYWEtqe
zX);!(T1g_LS{6tUVT=1F5a@DrG;z~a%kjCkAfChotZ~|_Jq6NdC%F~k3l?nkhwB02
z4_L?(H$P`0K}QNsGFT~#b@#o3>GYm*E4edp&xPVZG^H};mF+z?i|^w7X_@fxA0Xvu
z$DY%#o_}xy$ppN7SY(SNRuP1sOZ`ftYE9AHaY&E-GJ*`n3%R|xy~eXoKz}E47XGhX
z9Xr7OJq0b`qiV_R$yH7f`t$1Qs=g<<!=9bw53_w&%HnwVWSZpTU()d>c9tn>@}%sj
z5=odWkeV07eousLQ2oytsln>}`g6;h<Bw%;8v=O~l#lXq0`ajKHV5dEx}DyAO7;x5
zXlu4BfF>!ox(aqCLj0-7H$>WKW!Cv)_Kui698Zmx_BTCNEV(r+h4d-Th}vu}&0hIj
z0XOUXi(GrzUDCP%S>HPE0U~(>VR`RdXqF}q6vJYxrTxG_92L~<+<mR;e6PTpz^%uQ
zgZlT-aL6G%RuZJiw&_1NQBWc>%SulD5-NMti6O=0Ie)a+P+XQ37E#K`cKVt2@&W_A
z4@B)o^m*;nfZcI?dE@RO{UgsP=PiR+FaSb8Tmg7xpX`j9JG;6*!KYG+ec6fuiE=id
zpBy7LE)zwjMlm1Mtbr(ND4<&+KZJ-<V>wj&90)%i4x|PVTF|_WUK*&&7Z~Skjye`&
zuB2&PmB*%Ytlsok=x_BY7Xn>%yJG-IgoaPA?*F*Wcz6KFk4o_yAt|J}0VtpxHD%?Q
zN%ZXe_*nAd!@cxOaBKIb7terJ*R5Gt8c49sF$Dol`oO+Q@#QdQVM1BrEZ^R@DJFGs
za#C)b6f<*1qU4)GB}$a--~M5E@2h>_7TBjDctKtMzt$}8AlhqhvQ&nSg%TMJDp5&l
z1$R1IFIjq+k=oK>paDjZ?;j$D`mtnV&Qx%n=5Gd^vaq#rvW1-DBuKmS`T@-X=z_tF
zC0ycm_1ezX);;TaFnb>b8}7sWaqjenR~*Sh$-zX-uZKyLmw6Y9=5o&Bm5?!8`3=(m
z`~UpM(8`{h&*~$k?mUKqgf?4c!roL5BW12wq<nGH{DVpMSJ?fx-mY>hD&kmU5D3eW
zN*L|D!}3!cbO#n8FED_p)0mNj?h80qrRjYDnd@n_gpx+sHJzl7#pnH%Ct5Q+e$C~c
z=JFkX1@eN!b>(weHe3%@BB!d9Y292iq|oE7ksCu`PSm2L1Na}cvsg4`+t`eB5KY)l
zGdItZEIw;9pFtw$w2|+QF{ETtw2+!-*LD+TJtQWTv#@(=AkCL;dUPIB{4r_Cf2rC2
z_oPIH{Z6ed+`;D+GIX7|-5iGKv@`tvA@y)Bpil=SBl-B?uwcAQMGyk8I|{MoCVR?4
zxj23>GS{T|zVw^Chi%sdz4Z?7ON+h~k=x%&+1#N9T3SHm>qt?ZXd`j5-Wz#TTelds
zCWJ2+8LG8XGup1dyEH?WZ8G#dFEn&{@BU|BH2MB&6%ZN%mBKqhNv)*56z1WcXNM~7
zB*&4oy1I6uN^NG;-9}&3#PQAWx2uKyI-DB;Bx-4K>Maa%;;N0cL1XeF@pc!ED{%sd
zJIUZ}C$I^fq?%0<iDIH7le@RWg6X<N1L>|Vtn6kNg<#=2^a8M6)z~-n&WsT|dQug{
z)tQ7!UP_)|eP3y8VlraMEhr)qyD?7!v{yjG-T;*KSN=f||4*uom_)f6o>5#?Autpa
zDNP4Da;e%r|NW|EeI1?aLg$APt)L<H7LLs;VZegc&a#d=$rGEg1%2?ntk@Ji$m&O6
zBH&lY*uQ$_G`o0xzOO|8xp?c52AiA3E$D6mh_Sb42l=ET%P5A&6g)B$KWc6)gr%?E
zyCaJCOF7YryZx6C@WTJ2yZ@BntyYq@&6o$FWX5rM^U0;RBKBAD*Gku>6=L1Y@Sc|G
z#&)BmWp1xb1fXndZ||9Po|}x@U1Mzw=&>rYZr`y|nN+AbkwuMp-c^^+<}_&c=4tQ=
zkl+Y&GYbI%HAp*)eErPD3fqQxj<REukIfCN4#2YFN^VsXt&ey?j*gI;$5y8X8;yV^
zsR;Ff7#`$fiRGU<H$TP?w|8Zj6eJPT*~1Hx8>(OD=zgIV81>QTh65?s;NaldSp&!R
z;YL3|ayZ*lx+J&?Me~eD^IW-!!B7(xma6elSWq=b3!{bE;whQ5T8<>ucS>@|<k-&N
z_xxb)xJ+CEuGI)ACYocWdIP}Q8(*>GE}L2XjuMF^DgM+y`ay=+I`lhMg&;=9%et^%
zE&J_&F)mWl?O_-1Mar>jCBpPsizA?)IvAKW_$5AW7<kC0m3puh;&-)COf8)N?>bJh
zitgV4px3VUkXaNMy+r^YG(zLqI*G}xub+iQF+w$^BKuLcK0->xqEJ*^lrvzgdp^+0
zJi6Hc2qu6JF_j-zqx~{x-@x-pCX^Qy=q#etYcHxm6bJwe{BBYnWrOs9!A%BVyg8yT
z+N>iK5dYUxb&+Oqe#s91UL7xwS4qIg9lP;5A`GkL#DZmEnbkh?5{8|Wi-rt|4l-8I
zWCLJxv*dm@fjBi(7ByJ6Kx5)1lfb+0AT{zG$?YehJUD1Z>(4A*!qA@^bI0ftK`|iQ
z{E2shwogZ?sv=pWD0ctMthY(Y1eAKY>SJYj;g<s;^=}sdw~3U{1vu+J2?B>_+vCpi
z%-^cWIzCuZoE1&!=4G@Ou>0D0#N*3VsG0?r08A`G$!v?<|9bN5u>YPr__$pJU#UFO
z=gofX$Fo{~auk>R;i&8L&Ai_Zcnqo`<0CZ{Bk$yiR!)|!O}kH~6%#<F3y2ns?cgh%
zo|u>bgm;?k-a76Qf$+}IuizZ>wm8ETd8TkN<#Wo7TrDT^+9Cp@X2tMy=P29@r;Wc1
zFdh#+r&SCbC+I@U{K6F)hS<<K;C6!M;qZt(2JxIXe_*}-uALL-X(j!c_Id;a!2Dan
zE$*IHv4W6|U!rOzn<^qiv*o+nqsB_L;<@YU)1@41<*)qSvjm}+p9YL@MizWSg;1|G
zeGE-Z(4iGCmpL=COHz2VCAq32HfnC`ttImLk6Pg?N0k5}7Nv&y7~mi9&6(3LZ&9+o
z8Rov|hC_!0v9Gp8EKN+HOCZ_X&5guFdw1ja&zaqs$(FLd&Ew(Yn?HY;6{gBH_~Bra
z(4k`e6Hz?Ii2th|+5iK#xawt2(UsiSAetzk(J|8k)^!^A`BGBS(sV>3mnz~A(LTbV
z&o_fC9=jV3QDJ~ZbJk&T?|}4G=6xxO)>BgV*<`B+q&EjB)jLaZcu$_efEem~c|IC)
z0tNELLz7M4S+L&zebO7Or_ZfuqK)UzO$TXk)nJri3k&-TWM$-Kj|zaAm#pgXQ?|_?
z7i9ceHiasa3GkbWT%E@}vhf%4ZOXD>)dzex%G3=I$Z|mun$#z81s<shkJmgpwM#WD
z)S|=4u;)^Uvoy7z2=rC;-!6^MD8wNUdNi`6*J%-&LFNNO+vNFN>F@E17a|4AiS^x{
zv~_$B`!-4~Fqr*^_k2GXaj~hB46_h8v2=c4?&1Sqx~q#;m;dDr6h}+FW()}f%e1NA
zH<Rkf(6T-%Oq#N)=-AeP#-4u+)cniW!<DBG*+oO-olO1~Spmc1<E?`AV<Dv}RmNT*
zn6L(e*l-iyzeZ#7pD0C%X_(V$==*i*t9jIfNEaI5u;c`Gn={s3m=HW9(mPXYKJ62a
z&VXlnOY-{&<BU>s>p$5Y+GrRMNW@@dA2y}4ruem_m#eEQ+e?1=zvcE~q7J@+1K#F9
zUg8cD``f`fTno^;puul$lv8=!bkz75qA%elNI%~BIwn1!L3{wYN;x~q<0WBX-_R5#
z3KGDuFGW_UBAZJf4D&cUAHFAD90fvCb-HyUlE2dqR1@cd@p~1o>16bad^4^%p0QSR
z20C=Qb=m=WNtI~b+%BkhijxnAwWF|$G;y`QC!yoK4)y2J`D#e~Gm2@VR?m?7ZTq!A
z&p;lHOue?9o!#j9Eg#0kf4QHl>`iMHYL|Nk``H)}#w~y<v$C>Qo$aZi-2fA7OWyR3
zpUsXGK!(UX95!%%3%-xm^@@s$F+`8l^1Z*ZQ1N(i-{0YSI|C;Wpr<9Ta&1dcVbgC7
z1Id^G;e*u72_FbKI6EJIuoVQRz`&m^^}iAm#Sxt3OOr1pec)-i0Oo?qg*^*6OeKBV
zB_9un;%Kx{kwXV6f7Pz&@2+Wct^f;GM{n-$*c)wnWQG&8U3p5t&i_ZVD-+J^c0Bfn
zuJ6<VUjC`LUE|_9vjq&`poBy4`VaY=xOMx#F}Oa63TqQ)6HW1&dQu<LQ;-1q?$_lx
z<q1VRZbsXi9iH2TmxnKKQp9+eIK{mN#}X6cO4-`9sGr4o+So30GtbD>4~^9hJ0%@+
z6O+<-4B3>pb#{x`-&{6RN}Bok`F+u>+kR>{J)kem3<;olEfLeIQE~Z$>KfkukgOsk
z_(IOl6cQE|2GE8y!V(bq+p)BFPg?MA#f|a#dXk8aC`l{Zo3+h;5%8XXgf3{^+GY=2
zxK2$Kd8<PJnnJ9Cr!2~7R>{iVd>^uR6cVTyBlBI|a+56uoM()UeQC|74AwfdZYis9
zx!ihS0qpeo9?@UJ^$@5Ye2PGveeDO<u_xQ2(h6WEtG?Q7M+l6Ht*lK<WHUQea*-j~
z7&uzeMwa>Gvw_qX;}V7SZoKKej=E+B`3R)SOp73n2#cicnk8bmDHCU}IpGMHB|<<$
zeR%T8ACepK<dNs<k8h3}&17o;nUUx%Xh7GeveTt8fATJAVdFBN8dI3tzdA<f8<D@}
z48H2)>#~%&Mw(~(#sNK84CclZV$n$HbA1t|VhxnraSCBO1<zzG$%oB{8;E-;Fq^q8
zBgeM4w}DMbbt5hXK1hgewOBd-?3bXrEhHI=qb2&&x(R<F?IdzUPUbZ$*D89zZK?q(
z*(L+t;m&yf`R#6+|3z-yEJD`I-Xzi$>0x3Wf{qF;DQzC)VfGgR+~hXDqo#<J*h!2s
zy~R#EJnJ*+dyF2EowOro5VkDpkE1n~x-K1tKE)0Aq|H}PebWKT0v^14Nrbt56g_lI
zAeNu4XX1ti%1agvXt4hddv)l4hrM~Zitn7<%<E_Ls%NAQ{*LzZU;2fMU_Ahc?~Mq<
z+)z}_!J<0`I3u1rZ^>>S*2Dd?`<nLlJF(PmAz1b+FLfR#gSKyT!pgE>BC{+Mz(lPX
zfp))Ok|V0pUVa5zT3xMPOfNS&1uR7b#ri!<?{VUbE6GR*M0$VZ;59nVC;x?V=)w8(
zU_cDA{hmIp9mePg&C?);Y9_wUzT{v=j&O?8Hj>rxM^nr*?JaR6+bOA5{|pG{>`$e+
z#&yFz_0Ku8D;8E(RsiaM@%*3)L`@cg2o8F)Zf-e!r?u~%!smq=G1hPhsx(oQC>y&`
z!EV!qqdB>zY0{j6bH|5sIfg;X*#1X-tE2CQV(HIZmocE5zJlg#9z#~Ldy!{4joPDZ
z)X=^Zyzl3?JNtf3x~$2=Zw65ohN~iY2EHybMXGGSa8O#>#Mcz<P1$Z5#nQJf8aGZx
zN6;t$=sMHf1Cy5pf9qkI1l^6iJ1;V1*p`vDj<)=GXMA*Y39*6AX#DRA06f>-KYxlw
z<T8`32o2iCDmA0|JlQQ9mmJKe^BEASNY$Xl{{U~}S{6kCQ1eFAvd-nkd;Xi8%VU)x
zuu!5>1bzmydRlh)CbB}Z?Zl}L(R;sq-<*}NxS29r{N~IcH3;GTW7zSc4jm%#2heS5
znf@jNzL?^8X3{e$k<a~S3V13K8O+bXxZ!JgdkpH|-Fj6j$RZ3>DkFX!fxcB^pBA5N
zNs5sbMgl1l^HHnH^6#rp7Ne-@+V&R4|MmDetwdyF%Lj0TfPmxUU5x}c&{7?Hyd|6o
z{kkK%xg50%2zc?d#3C6Vm5F#UkW>=5I1~dVUA<@|^?sqKU|jQZ9b3k`%gGV3V4K$2
zH;7kAzI9=-!4{r$YU1u=Zfknt@WGA{%I1!XDihC8SO%}rWd)p!&$NTbt%42&;sBrm
z{7DL2i+^Kpy_~UW6k~)qquSON>=$X{6HN*Vx`w!EDP}lLk9>D}N#zC>rG5~B3?{#1
zA@8&zGp)1{=piyzWKyToGf^=;-XkgB49dHPa0p`5I(Bvb=ZK+>hYF&%&c?-Y6&40P
zq(-iIO9ss!VU&;7d!7GnJ7vj&-)^z_X)zP+!gqna5P);R-e`6I&D#?(4bb+BWcXIw
zsPGJz6D#D{8cLA4xOA9?(54!ROCyD3oqb%GRT<rB?!~mJUsU^DU+>nWOD~gGU)5*!
zp=H^InarVH`z@hSm-^O$git6S`nKb`jniX@%j?<<=P|$6=T3x@Km;{*+!{4}R{IX%
zlSTvHe{Bq&s9wBa*7_1mN{Xds+C`*_hYz*RrDO75y`Ne%NKolZu^#fQp4$cF<3*XO
z1kbAzt1NhbB%d|`>rcb0Q6Ow-Iovd4pO-tk|8ONz>~4%=7SiS!iSLkLH`XKToX8Q1
zZ5sY-Jpz5yUs7|`?hm-aA7yf}0Ze_vX0F~$l+mn<tY}p)4ilm+U1M6wGCX<Q3M7Bv
z)&2WCWHi|=AS~<j)o<6@yTPO1d+r_9fi>-lFSbvAlZc7ZbbpJ9F8z?Y+e#?eRXaW#
z>RBGwSYQ3w^7qG;!=v$+$3Pzr&qn(MzZ|^K3LMsCmg@2dAf<Mn-7Qm7nU-BlnkpwF
z{Wra>tRc`Y;ijMOe_i{!6RJ;Kq<Vg#X`uH1M{;X3u$BfxAXO?kIA=uI;*+C|U>e@Z
z?UFmIUAq(zQMgp8C4jsvYNT<n-)i(enQPt!_qm!a;^@I)i7Fbd7hZcoU`vY_@nrWn
z`+!%T-VZk40m^0W#y9R+UkL+d6ig&>cN=DK7XeW{%wSReObK+62wK~U&%VnUGBcyH
zfGL5qxyL9sWKF=&w$nwPEr+3-yBLSgz1<+>!#}St;DbSabgvQi>-SXgJ^y{nY1B^A
ztluj__Txtut2#Cy9SLYHbQ<-_XY#b{9yh=?o!LWE&}fYU#oA|!XHLiZ8drT=G@0`v
zE$Or>wQ+*+0ELjB0+{%mx9ZsJ0Sc3g;Akx~%(>E4E%0si+{?_d`qA?H)HuKqlBixW
zj_P&v2KsT!LqjNQ|JkHx=r=n5W@{Chr#r9GgfzEyB?zB8X7qf~d!cS!^q|7w^*F=$
zXWG<tBHO_Tg2;Gcx`f6}-||1Ktq-OLq$?9ZerUGH0};yDS4UiN?O|EEEFYBR_0WsS
zp2+_B-Bn*b`>#A!`~SPHD1es~f)ED^FmODrYz(3%!9kznx!X%t&Fr4#)4)e2>w6a~
z_qRW8CW(Iw`j8qKg~x_P6QX%wWol#hXXTq?zV(>W6o7S#W6dAA<k-H^F(>`fee^QR
zV^$m5Ts3*++hL%_B!4XP%tpg*Cv4t=iFewp{D1(UMCT?%{vbiP1Mr%<le+;mR+shp
zLW*tw`!>R3{4A8t2uj?OPaJMPvt@LUk)$o(Vn9euW~_$$<=L`F%{{WnVFUWOq9vrT
zS4AWQ&vK~x-hdW*f4}3BCCvSJTcPswcKCj2;(BOknl?iMduew?9faEfBI2KGuzdyB
z0*HQPfnw1JGkmG2zXMA5q1qcG@8G1-y&m@bsEXgs$yayN9W58#013fcFZ;6o`m!As
z=e0>b>F>~g81NwA6Y#XWn<`cUyEbeG!KCC_F11|@WK&-uG<3AOz%g1XxrC-c6K!+o
zml4%)pSluFnP&4&hJ4w#2^H*?5bDRnJ<QkUGsQU!Sol}{k=--ir^grvp#7eA@9URv
zi1kYGOh#!M3Tv@LXd+^cSrPlq<5bn<hHNg?66CdV$G_0iTgh+A&Z5+^%zRj?I_G3R
z<mb1_bL}CaHYOmRCafKZP-tZ)x!Y<iYU4~$%1T|)D-L<Erw?yFaex5fDjVIit1D2W
zTKw+sTo%Vvr7SBg6lhsAMIM~J{D6S>kJesef~`+mdpl+SVR>!fC5<J;c#V<`S)$ol
z;l0pf4!j&msa7>NFMcpQP#MSz|L^7zPfO&X#}3QZ`ivK<9vLvta1+dIY$(+r#{z}L
zmX~Q5aLX!Bg&aT(xV?S*>6Fhe7KCk~izoONF#91(Bli-(r?we37zsFgU$*io+q|)e
z1qAmQ&Q5`9rz0wtCcuKXY1Y`h4EL7rQd(TIDf_t#@lPA2hnj1drz$WaK|J%#AP^P5
z1s05%T`4kJ`rFAPDv@X;lOCIC_8d8NC=%Y!U4|x8G^8iZ{(;s;DEj-)E=DTqfs^sZ
zlIYRVXd}t{kh0KIn+&|)h>_ml;dw_4So74ELHxBsBhVt7lilB?F}Fz$C84SszO6Mb
z;j<~4FbRt6i`0;t`833@A^XbxU@cJpMWr?1Q5{FFSC}mVx<uKd)hnqtliDw{VXIjD
zB2sv$z;kW2?9<UG?;1N!Io28QHpj~YsF`5qpecxmV`!p|)$B6SZN*bEIebx4_0}ZC
z;oQo#u+5XjW(Bm~kfX}%VCboZbsC1%pi?g`exYPWX^+=tuVX8~M7JL?1<wO*==}V^
z@eggL;EM|^T$2%SWT&`UVq<CHY5fE4eJ55Yx<P~tkU`J1{y@k!clhWH_s^_@ly&}I
zuVE3;ZMEO$N_DJK#rBI);GQfZ(@!S*2X~U0mFwU%yVdZ_0|KG84W#A=l)CNf#wUM5
zS=#aTzr^K}N#UBT(kO9~a?%++W!l8QMti4o#3ceKX=tdSPMZS|5-l4U{F{@3ps*@R
z2RzhlRt!Z6)LFPN$y(2ocSH{foCw+<@E=&O+&yn@MqsixyZ?5`1}v-RuV5Qo_(=~F
z%LPVR1BvB?-x%|hJk|{Fl{s*KvtMspT%}Xm2(TaO=)RQX3vb<)1Mg~Pvd8<ioj8OG
zA!bo}y|(nz{ZrjaZ`H?lPXRAJ3$8L`9kW>ci@#(D3bgj5e)=x)@AVy+wV9lJsOJdZ
zQSg6lwR`z+;>Y4*^Wxb#M@4;ba9a2@>?p%opDo?h64{?7Q<*c+`SbiH18~Ya6mkF@
zI4`g37x5LLaGx7HRWL;p`Q7``EQ~K&_(G}A?AXj@jJ6E}Urep2ER)R;v!_cWi%uV3
z@41mbXfr!7ym<<xq@ZZE$QedBC(LLA>-MR2+ED^y+9**&y*~~Q8_MtQ%Rb&~2*=T&
zKqQd;tF!_LFq~4pMvXhIKU}h&pOw&!>6Mg@iw!{cNz98aL5HL<Qh8^2f$LN%KewJT
zS_*J!w35_BT=7uf5<Wx^vJp!4{Jek745#iyfnj9tQWdLS{5Y?J3HaF%1|pt6|G%5Q
z-FW72<I2|1*Bg#ES+!g99blh}Ck3G)c<mp@|0q&hfu{_TC4;Y=V(7i%%j&Vfc#WEq
z^1{QY4k;Q+Btox8isaAX;DFXrbq$Cxb0pPw6?1JU!C_{6Q@J~1&GJVtf@zKLYnJ{3
ze+QeUjQwkAhDlL6GJ#EcHi;rJ$7j|>6M1goTY*X;KT~Br7^h9@by@F0T%xWQFXAo6
zpyX9TTMk~Ah#NzrLuv}lN|8{H7tI=j*L$u5oQZa{)!r*gn=w6NmSuz=UtUw$p^6=h
z@~whYlxc(6Den5&ypLjdz-Jy*C3QcIEI3EsH~axS7UWynG&pVW;lML}cSsGPbF2{6
zO{f*t(Wg&A<MN5h)HJUZF~57ZKcHnIZy-%eBa#i&PGrH&6J+BT7S0+qSBfz4*XTG?
zT*RO)JX_~qSy;GCDa8;epWD5Z8E0;`vO_}m{`*)9QliN1jTK1!-e&XvP4hPN!Fb~A
zREer+uyH5^5+L<dnM9ePbi_k_#zn(nCX)VHQusIPQ658x=qCs&OPy-r?3ML9J`z-a
zzu%4vYG^#x6})|^(q?hukvaHC;R}Z9!0No2EWRB7>P{$Q-My>WqAMJP)t8XMz4aX4
zs9JO;+r~*c#-t9>MeS#1Wc+CLIM%jb8**xze)ADU?Pw0^XqN+Xz@H=l?VupG)3`lB
zQ|jRJlhCk|-6MCmdFy)N65ask_AiK+QDx=!Ufb#Uu{GZ{j`nzJHxAFU{eIq4#R&|^
z-%LfT|KkFT4{%c*9&@||kn}KP9X<xpf|Ojt(scPd=XcAx5lvMx2A7sKOc;7EON?Hb
zAD?<N8P<F4`u%ci0Xx=nwtI(&je-V-+dw32*HP(Zv!MR3`Fiu!4J<beA8+J9pFNvZ
z?bXCK6R}A^VkV@8`mU;1w%vDXwe8HH5pl4+pZ?oQ&N0VqV0)qCU(y@OUyvX}sM$kH
zL^T6KWf&k3<~&n{h2QBjWIS0ju@DH7z#)<Acc^um+aR#x0DAsrtToBsd-ad*3T=Ey
zO+a`&vAi@4wb?U{BtQwZ6Z;Vh0w<952eg3Y$lK4Gsm4dl?&=C}Fi;@WT9?fH?JWB|
zc1!-|oe2i|ou$%}?}-4MufMPQwT!$&iU=ZPg9M2~2~fgs#r@s%1fned_t+olV>aci
zD*11}<7TJ6c{Z~Kkj;jhv?`SHW3`TtbviXTKKRM(Zo+MvwTncoOj2!+3vJ;nmv2`@
zVG2?w4n4ug3e%@c7D@FbERmD(rwU<2Uh}b5P4*4=^KScnVDbl-#G~TX{-4HJ$$fKS
zmYqd+wRoh3<BxCi7igeWRaNb<?&na(!r3$qqR^jgx1;j(pTTa7k!njnOWZd4w2n&D
zj_)a16>kvv3{t;?SJ}T7=D%6b;HxzyNi~PTRa~@wbp317r~rt_qXadc<;Sy+6za_E
zLr7fr42Ptel0E4)2S0vyC#8dsls3nT#j4YOHbjEB|2+J$LDP}6eXu$KJQegk-`BZI
zXSQmO=>Jr?aQwE~<P{w~o&^U(z}A*=I9E}s84={uH~~IEK<1&NWuBl7^Ls2v-#f-W
zk1P?7qk=SQaAvEvxN~2GR=W{$N4K-I^as$43rq4WMR?%UqCWD61R%v(v^A`HIM*%~
zFF9>r-;Iqa^27+I%nfm3Ku~A9D3M9V?WzsJMr<NPG0cbp(P5rxjL1Xm=5^u0EY+i8
zIp{}GPb9v}s!P0pntk{P2HNE*?PRmkl-4@7!A1vRweAz4l!L&=8(w@mnaSTSzPDL#
z0KP2LE;wcw<tms7IC1Km*+syO>o*wAT%J5AG+`_pvD2P<Xcnlj-*<O+r<0C`C>i}t
z>;Je1=GB}T8UA7lJmQ!<ewl1r5=ix~#ifEs*o}eYMkIj5J7MV(mmN|z%Yvc3OG?FN
z%>~rUmxOhye04@P6XsZ2gXb?l0KbU4Lb+f6T(7IDkUJ0mj9>M65``%{RbA>|8`{}b
zmU(rsW;m}NixZ)#n#d!^p__=|KSO5Vu;`4dAr!!8tfc!~d}Mm*ZU5@)oG_lat*!0N
zl>1S3nfPHmhmoylL+Pg7&ixupkeBuwl6!j?ryM$q%~4VwL3o=$2ObEag&Z7~pZbEX
zy#u%|0vgxcF7R<mGXsMrkOOtI$85;Csy|tJX8ablkg+Q;`1?mZNVD%go8RTIQ&ZH&
z#mC-fsG{ASfbB<(8JN!J0HQN!A3&t_0|P$vFB3z-wdvN%PcdYW?k_3<__M%v)ADfK
z6P-UmvWS1|K>wy6ta-<p;2wbf20sQ%YvGvKT2Ew46#Ns<S2mR#p<xnT+n1Zxx%vNY
z$Nm4hldslJFW-stnWhU0zRO>f>otgOHBYL~T{`r{C|~{a_pj939+KhX*7S3&KBpmb
zWAESD`1qVeDyCi1)g)zmIZ?AV<fCHF0JGX9spp{p(YGhCTWeH7h(CrH9uBw@v%kPd
zHZm~u*W|LFP3h`YLf>?T?O-x^Fn&o;Nh+e1v-_1aI)Z*x^9?3jRnOaZa(x@y6s=y)
zvnrB8>1)782ANg0B5h%5Q3|Rk)*wM;dSF>Z-XNLOI>05aA-8DYBN8Be({|QXJTIn<
zFAn}eYj0|NwXXyrc)&5-D&oZYPP}-Eak!QNt57xCI^&pZR^5~77LbDXpUX_9pAXg2
zLRZg$aaQ9}r7xDr$l-d;i$Hf9RZ0k+HUuK)f3QpU2=pB?@j|j48bRNW=Ju|LEWh8K
z_uii$ZOOro%R)mq^recDUc1p7xYT@xdjL90=oym#lQbtl9M;j%nY&^5CyKH8N2YE!
z2WEQJKJN)dm|IA(-Ko?icAf~$>2h|z)++yU)wPINGBxj*0DF(H4Ndx5yvqSEtBNnC
zNS!(MZ~KdDPL8L0fW!=t;Ir-Dp25LFRWMWWEumV)6V$Hfi>UfOwtC!)^I8J}Uo$ZM
zJHNJ5PmEX6*C_@SYwu1b0Q@{|YgS_Df=s+u*0+^kq6dHo9Od6Z?@ki>V1w=Uy;@?1
zW&VIMjF?cdHHYRZj3kuCM1HqE`3P;M{wKOW#NUcF32CZTy&ROPT`%4aO#Eu=iE@kq
z!WK_p4_M9;R5CFK98+iZs}^kUCP~550L|OI+#LpFoYVMh^g{?Rs$p6AyL_4W0;Td4
zFweDx6M}ADL_1VQZ}3m^tOmnIr)r{9<OyX*T``(NvKN$Lr-Tom<pD<Z&KncaA7myK
z^>f1KK=%mfO1S@42R5LX8?r;b0fJY_4xL9sV*OI{FyZUbMPCb`B?mhIhbm3L9|8VN
zDbJnJ%oKQNrA3W<&^&0QXl+M`S!VQDlMUXT_->6VA3V0I*PbbrZCTzH;Ok3hh#FP#
z7Y%)AU8o=Lj-Af}sZ(fFRM;gyZWdTYmzo*MzwA!@J=D+K___ytQ-yiWFK<6^5cA}d
z`kTu?+ui#C+<d@iSyt2o6k&hO&Mogg8AI(SIO_mR9+p?KquP-LKUxXK12->R-n6}H
zkZ%<V6$xMY%9<lshb2FK*v$2c&VE(?JD+MfOEXBLxMMP-cceh^$DK)+ypW0SjOXYs
zwk_zQHXKS~3$)--tNz_Q+n0xytvn$<CP}}-k9vu9pXr2vm2Ecvl~||U-Cc=b_kGK|
zgPq>W*@t77(d2w9EZyc&%dH;HO}gzPS=YQLG!@2Jp;5s+VB?~bVvTgs|H1g49ILx#
zbsy!2Po4J~kI$eisjMa>IWJcSDRR3@I)I>WcffbG!p*(<7roj}i?R4#q1ep#TMj_~
zT3r=!;03tvWpk9sQ7bUE@$HD6sd?>hjV0<lEgxS{b_Q52OMB`D$8qNeOW?bEd-8W;
zokm-g=Rp+2pOk*xKl!`EWl+~zwr?0--rVjX+Wvs>1wYgCYQcG=w6ZDYrI8~Yn--Aa
zrr|4JIDNSODeY`jqsBC@w3yi!Uua?I1NIQx4Oj2byoUA*qu{q`my{2%L#-;y6J8Q<
zc2~XFL3}g&J(B<7N<%d3Kqd+JAETZi&(%Z-1~enUiYS@a1Pzhu_?naxT^$b(5`XBD
zXd+>ZvmidI2f0rNoG;7D{m!<HOQTL}B0CIpy1}I11-$k}%jk7+Bq+1ndJ8axlPNX3
zz_rtefLPjKz=>P@@q-!Q3D1Hr7Mu<}+w`}}qXB_=we12N^yP1kDA^nN3n*EhJ(x)2
zwQXkst4AP0;WR7g3BWh*Q*H%d$NSIkOODMmSU#~Aq*>gso;6-AfoCvh@v!w8@W>jd
zAM{FRFsTY(qRaOYKx!->e*vK*ZMKQ}p<y!}?`GaT34a91wlDHOzHj_c+~t~idfVv-
zb3SWfYu0AgsWlsP5~r34x4KWQDJWnu`>xy|A3%&J`?2T&_h(WSEK<Rzvky={%TU`f
zd`gH%emJGbh}s++TuT_w?PWY1|3Ry^fNA-5<ttDN`#DlbN;fbIG!)qQh*aB;37luF
zHnp!Gy@G*=abgInJ7k{F_=_eelRvxO26Gh*DzMc3ko4LRiw`6GJfZ2xkNx)iRJJfa
zMS(kAfw8d2s=@9W;aB_$7O8D!<5{RyBK?}xx5HGz1vfb)HZ-n!b0GTbx~O2L8^!aN
zp8>ajVmc^hqhRVcV09T3Ae6w(RdQ^sYmJt(5TLZdzyQrS+s|aFDJqFrNu2&)J3EWD
zX2YcS*78#n@{jh9vmUz~(L^Sw5Qjo%rft%uNgUUIde2>uIy=4j)`I7zw(PWAmGwuR
zX5c+bn-wmcRrsR~5i$g#>yEdE1R;u4hcBuu%pUB#+x}+AR)4aX``PuFk&7iUCHv*m
zF-5^lVLj(^xW}_+&$g~Arj-t9Y^tOrVm2~XuXu%~xRbRweLN8_L7eWOnYYH=DU?|$
zDFfzT0k(yGUE(|jhV_=_W{^dRhdS{&A<?e^pf6M0%RCZ7pRNWyu(&71vFK#p2m)k6
zSHp8a9D4Nar5VL4D|%D4S$B*wI`0Qt*u*#9j23r5D-AVjjfzEuK-Q2yLLNchV}*zt
z85`%}xmoe7u<rzHbF91l;)iB&P8l(er=!RBT|SOBUVCECT|s?F{_3gbz-coNxT;f!
z2lVD+C|?P3aB!%-%;g>=c^B39;+bqI&ElTNN@r(hp5u0NRkq%$>zD@+py3(2*c*I0
z34ZJ}_L@Nci^Qi{p0+}sk#R+gCN1Z*FzL8zFS@VuMlNaXg)QcN14LLM^7QW*2oLzs
zAdng%aCZFPNz)Rf%A1>ezNmzAGHW;vTXDV4NMOA+jl{Sz^mMnIeY8~9V86W6{CD67
zHuKu|2MJZuaofMOr$}V?SP8M<UJW<VITMy6V`E^}u}o{!WKM#?ABXoG?Wd)t3b_0l
zr}-dn&1ovkF&Q$3szmyGVyK;F5g32nI?*2(&}PFh#5zgHS@z$lnSD~|*(pm(4yonP
ziB9w+^Lc8d(Ro{@ZWM15&-89cm0?)Q4}Nx8{})I<)}j!HLot9uoq@0*A^+4TV55KF
zK?;*=seB=iOPiIYz(bZ!c%qpW3JOYdl~)#@I%zmBZqY}rG*_UYb91Y5@PMbQSOei1
z_)T4FED57ZK^Q)H1r9(5%sj`iX@L0`Zj*^?xk|(ny2lbdVZFBrPHKGvF^Olp%_}oA
zuDHePyMO-zdQzz|aOlRSd7+wGKKkWT{U39=a+m;DletmkT(X7!0J5UcbF4F4TZXom
zK)mPbnpw^Xfk0T@F%KY+;#m;jWL+O>d9LXyL6SRJNNL%c$1(VkvjuF#_{O}=iC^?P
zhJO6WlqlPtb?zf#9XMvnnVy?}dUE3OMU$d(4|_`AGNgx)v8d_F(vEEca1DW4{9QY!
z1y}8>)4N~4lwOu@5SBJ;#mUzY4cF+Bgl54<KNw*Kg3l}1h{Wf+#az9SZ=P>qLc-A{
zJX;A?=n>SY{ZPZExgs?owRLAb3U2cBx2g8rX-o`m!3PM$Uro#(1HxZ#S#$!(_PbX%
z5oROi;Szbp#m}(>WPyeMj3qZeyt(Slgyh_*CbJtZTzYjgDRuX+IOwcKMn)`Mvy*Mg
zF0F1-2o$NK-@DjTnJ{O=*wR#lRalc_G5X1*61iA^^A$mC$xb_uQ%zNdeldZNke(h1
zu(-?nGBjZ5nG$CFWgavnFwbCQ6Zxq+jrOC&{+Op+{lMY(`FBU?BGEpd0#~LYF&5fz
zt??I<Sueop(PX)~mxK6EMF>uQaB=xoMP3hi8S|LVnQ`j^@%pxZ{gy&SmNXPUw*P6r
zQ4~-|vFJ49BvOuv*J~%LL}->M@;vC^mdKwVdHPg=mLSxKmLS|x5FKGQ#|SEvA#o4U
zlObhnYpFtW^)SV%xoziIRLR{lG_m(<odLw=S!%kW>e3JD*}Rjy1gqcAxqkRFk6&Ms
z{j?A88xgO1?WguQTzz@r50oy)!SRNuV<J&P)^JEnVm6p{HJLC2<Kp6szqrr8%#qff
zw5kP_$iUsaJL>WazZ`DqG9Z-$*9gmqk26ksA1XMZlWdg+1B6q%MYEjWsvQl|lcq4r
zt`(-Hx$W3r*)F*m7_3fDgSRd)DLB1(ieB!VtMz>(B*Z->!!1URK0J(sV^9FzU`Hk3
zv>B3W5%T29DtUe|xO%;6qV_EL%sP!17z7`Y556lUEb;>7j$h-zj|mB){)W+Yb07}o
zaXwudOaFGfQ8STh#CEtq+W=Z@xoO0t*mrWPSJi4ROAX+3&$XCZ%0;E<^YIv11Rf_T
zO4!dE6V7TDR%xItE2Ua}PJK2?To<8Us*2N1V)utBm8<uC^B}pfM^dfVce@z!UFBC(
zhZ_Y0M|RMmEvNQ<jdHb88Ig^#M%ZI~6XvK(p*1nQ1X;Qfkjw(9$pyeBq(ZSxKRYv1
zEy~(W(wgSnLyc{eY)XQbdjXG!DE=pz+w7OfL+kpTYvJaH-DSU;$7mb3|EIgJjEbs#
z`{l6_5Reu{B?Y91E`>ot5FMmTS_zfzFhEkI8B$srq+3BiT0j`Oq(K@1sdH_fbN*|c
z5ARy%(^>C&_ZMg3%-;8X@2lf?87hQP)U}_9!tff(D?|Z|ea*PabH!lS`VMMMgLm>A
zd|EWt-?8#>x6a#!o>5n{?n`bWHL|M`jN9nB6l|d&__hzbxcK{bP*V+os7CbI96rlc
z_Mp_>XCQR(yok=i3w~k`(@~7Ak`;^ii$WcWYS-BRjI_81GE!mWZ=y;5`dG200R%p0
zlr}EZ0NBf>;;Oj0K_E6A+hW|AhjS!31Jx-o2e`X(-VaTWRRq|Iz6Y`SOD<|N!Mo?P
z9%QaOmbu}+anYdcLcPBluT<|7A5J^N$M)<BtQ>jRc2bO5btvlXO+_X-wwVpJkFPb|
zTQBBVW|QD9ANswToHS7Ct>?a)9r)uJ^ZD=?#^k*US|H6QZ|;By(1^crA)3DN)^u$;
zivD8sanJL65_{ctTbMATh!98}*k@BjGNr}E#E95T`_4I2)TL6haz=1EnmRQ8T8Fqr
zM3+7Z$1q*|Vu7QV@8{dfy$Uqu1-9x?SPPg$&IU6!dvAsG1ZJ~x(4nVjDqZe}T-4Ms
zqEK3V{qEHTKVQ}jv0&eF8-iBemJOw-w<!0pGuZmj+s1)3#*8K|7FjP~?4nB?Ini_V
zDe{h0^fz(_dPS)G!z<`MAq6dR7iykHUs9eP-`7!pSn27Ts8uYv-7ls8Gd!KuXI?Z&
z*zkip5cHTLb63kV_i;%`=xl9meeM5bh<WDE8rjd6I&jn~p=W?;g>kld(}~Kg_VYiI
zGBY#Z1a)8Lsw||mRwcUccOxS0eIZ#2lq)>Em5O0)wgzcrWQi@>s~vxeLd9B$n9-TN
z=AlqvA~N7<ypl6p5Ix<~7mIEu@wxo%p!hC%>%=scpK1Ba1v_S;5R=eGc|L4>*BpVj
zl%3y=3oaeCZ#oW>C^+38d=(G!jm%?YdHV^s^hh0~-epj}J77WK%~75b!~3$R5h(+h
z<7)G}BSp~1fuC5lc|N+`KeE0*M&wzB+}(oez3_SGv5}ED%;Ft;&teM@5}N%WV)Z*O
znr#_Qd$>&beU4^tHr36R4@70+4lQ}x8J!gt;HWw}JMZ~9Izs?(#>Tn0Vzu1*yW_#r
zdpkaw+1?a=54{U4vfQQ~ZhM(%9kyKaLmLj4S`kq3YkafUrN>0JGxDjm!L-Aq3ml(O
zQ~u$`7@kHy_H^IJU)+=4-V6$Fec5=HilwVwF6On|2SY6ql_ZSLd?lUFBowE!NBFPq
zlcia=sPb8Qt9?*pPVqQ0p#J;;Ywv!mNR%=_NlD2$Ap?Pm*sRvdO%K149f&@rtjvRi
zzR_EtgfB6OBGZU}%vQobD$6umH5SJgcImToT~R0dKg4n&oQiqn2Gpictd;pxOzA^3
zRzrt<Fy`jwSsIW*Aa4KNg=t0$(Je|eMi|g4798eMImv9gdp>zGF=M=ISUB&T&^$`>
z`)$D~Lp1vJJKH~s-=$}=QWJog21;u}@$_#~HfJ%A4RwDZoW&V2v^@T3x{I$eSXwOn
zi|sLFJPYWdS*U70IiP1jh4@Ys=5mPPH|l^!LxoJ!5(AsIxrDs-@b)w0)jt<=<#0qY
zty`A5*qa2D@j;|ahjv<Bx6-MN;Oa_nYK^MRDA8%?IOAMoa^6G3I@>2D>;^-zp+~ax
zQcQfjl|XFsVM@1id4}26GQM-%W&corQd;XooSQhI^!N_X1CZ`dto{|BVsua*nlKkZ
zYb(s=q{W^-<-RhJBk_y9>xrpa+svniPXlijCP8cFIM&dHV6u?uOKG3%ai4RHd9iIX
z@2?7D*dm%}Wg}QCrrtFa(kDLuq?JP|=+<C;m1RaFk56mN?0syN!*7wLqhX*WPiOsx
z9Jb7P!LCPqZSq_V-pts*R_!CUyCl1{*FRj}xU(MR6K<<dAQMd~EKS3&XSEjd<83Cb
z0|~pTX@gmVdfnf?49j=HTJ;q|gZAU7j=+fA@|nwtOP94p-XsXSH>FXMh8U(&Gei;-
z1Zsq4T+Cg8*Oec?Oq_h5VSEvlDxZEujtIs96b>HJIg<@NQnp}K5s=|nb(m@Bys=f0
zEzj(mS)LFb8WxJK4rPpW#`?_C-uo{5rbfn=t)qvPrI9*?nkO+ha)<O0FV+p~P7mDp
zgbA@()nMW-7ojwNnrUn!ZwF0%V0JjeRA6+AQW!QS<9Dmx&*5QLhcK-EfZMpF&9q#0
zACT@XOt;Rd)7wd41VFAh8DpAO+<Gh6I=y3o?<VnEl1MYbdac$jq4$Y}8;=}UijJJb
zyBN}?=t6bG0%GZB7C129gdkm{<H1?>G|QodiL~bD0VlP}Z3dh4&!!~{p^t7`*uGx?
zrAOX{6Ai9>7q%ak@6wkYDRJ%P)pxd?;z9Cx<tRd!Loxf=t6I~j61Q4(s!G8mo{-ff
zj){-nLP0cT=JqJt8F81<wF(xePa)4Q@L8FLCuw{E%az(^WbSpq>qY!<^?p-YwGMu5
zZHv?CW~^!7)f|RyTQtUK=l<=Bi!6JiQB8r9%Dp|8PS%|EQ0fBCK1G(eHT-VRwd}yu
zfPa-HzZdvb1?Dm7M3*i>D;CtwnwOBsl)qjqwgT&Vs5D-V(WYX=oQimuF!}3Tm$D>-
z(xjQLi30r;oum+-+Gh4Yo3sw9^9GHvMc*g=cf3WLbEOlyQ$Hx0svYo>YHAtf@b(NY
zi&f#}hhr2T{jAS@&|R4)M@kB_F_r_v24vRt7=nD|czei6d0No74CyENUMNU*`q9SF
znAkTOcVm05+$$Qq9o2T<EMqPX3{ANTSI=kpiB_zfWPWc~_n90Y;4_6QW(AU7S?6w{
zF$*;L9XF-m`*JwaYQ`qCwfnbxqn{lU_NO~TgALhad4?8~QNIz#yD7B^a%1Jem~A`t
zkT|}K05`VG41z+bqOniACI;So2WVxh*p(~j_TG_)#BxRyW$nU=tD-lqCYgg{lGrE-
zJdBrfq6h{dsQ_b5?Cf$<Lnvou-gJ4>oYPc~kLyg_N>>e;iR_P_{?$WLnf~a@+nXGw
z_Gfg(k4hUlkDl6irnQ)7OMSC90I|w+*>9fJFK>zcnB_?zjn7vK!Sb)<3@yIL_e85X
z37dqhOF}jK!Pd0bjk?$0+ToY{^9(6ZqvZ^D)1r%NNGRh%W5lqpuTbCiVn~0|*idFv
z)DnzV5J1FT;gsCda|%)ME{<B$#-D(qMEL@vGZov4%Ui^=GjZ*c(<@R*KL!VBXoJDB
z{>a<v8%|GWP7@hxN~Tw7o$ByOhDdqGH`6J4ndmP-gs2F(O-AJmK9#Syap5fq8m+^M
zvClRyiDOju*1CiK7H+5jaLsP(4&=`iE)+h2iY&Z1F2pV4x{sPXa8d6TV2fzgFk$@e
zy15YlPG@ub!@jM{ql-7w$k7<q&fPdQR4O*&njbd>=DXAbbnS-Nf=iO12tSB9!Uk}u
z<2E&JgMU|1FEbn3!r1ZfHRcsf_+coj(aopqt=0W^@)AEvY?=55NFQ-V(O%;G)B0RK
z67|*3SKd?}=2tQHmakajjMI}8)50fis*rOhlAirKB|JwTSa?m;K~YKRS&RekgQdqM
z*^T{*(OXl48mQ;`m`}b7_9~n9>_*_0G!3k+y{ymyk5TGEr}NgUHp^SL0yok3Q7N)F
ziE0EI-#b<fU*;W5j_eY9Fha2spfVqSfI79pj!`TO(<Pjr=6*HqyA&#;wxJ0|-<P&m
zz<GEU&Gx#D;XN}4lq(h#bvlCPTZXAH8iLuLm(V1<q@wtHlgwuYicGZh&r@`%^*Ilk
zP)gy474Hiy*rLNLCrl)Mj*NoG3*K`RuZW0<&#c2L*D6uqorSDLRq`l*b`_1YWh~hu
zrN*w%$*x}h`cBfrPion-IeoNS6no*#;w|Bvgt{~_KULU%eUD}^?Ed=Nk2&AMr}L-H
z@4mo7usWei*0gA0Ut&(Dw-~x(Y8vO32j3P;Wy&)PJMwexzFe6C)AN>;MGQnJU~UX4
z{>`jDwr6ap)4Gf3)UXxO0ExwmTof9?K*zeeG@<BrUzx%<RuN&>M0$BC9uxd`WKoPM
zch4jAa3yRxFkl#_D|`|D_h@7@8;ffBTKweZ|M5;`RbrD5l)6Y1>VuM|yhYD|l2-xI
zQ=LGxi63E;DV&nXU7nfRYH{suk4fBW{<5mVV5xg0#n7x~WQo;q=~H=I?WWN1n@Q#Q
zu|3N?r6TY7xVcG8CL(^Iav$E>day(Bh9)hXJk%G}6ULhs!i>G3IWSF>C>CUQfAATW
z&rP}v)%H13l5fs!Qu=LDQj*4PaHRA`l)^t6^H!L&MXDq$PM>kD4E*Z{GGF@n#a^5^
zJ^ek2O$rr(!Im3+Q%ao`2Go^#VO`PFsjT;fp0Sf{cvajUW@{hfQ{?H~Yr)HpepGm_
zw*jI?-iZ{zH`P}WzA139(`AuY{JckjOCB3iv`&+!<dvpQqLT~dw9snxYfH@|d@w@E
zqikE|Gu&&?`C+!)y+ba29}n+3p*;HT<4>9V9IR|P#!mM}0`{?yt=|iKeC_K+i~#CD
zk=cm)-T}J0`{}K;*Ec?3uK08VXTeVTN?8Dm3c5t<CYT?`Nin~@5YA=M69VQ%0`Gf4
zXWb7s=%r~!C;J1x?|jeAj(@9++Xf1_aUrI|l-eh5(@E@k%<RJZ#Nfeh&vZ=YjSF%l
z>RKP2L*<pMnOZP~gl$zmR3)3krSX^eW<GxNV>t}xRgJb*nL(9&C%kPU-++pq7@2cv
zn0hTsz@E2w4^CoY8L^hW49PQx<$N!WByBo;8o+Bj)Lw2-WT2|_S(>8Y13r`cto&H}
zxobYWgrtHM3vB8}ajX(nijM<B4Kch)__;T#G`{%B#YkPL2P~1z&Vh0z^tuxQGkKS!
zJTE((m$0GqchUSsI^9Q$QjDk8r|v0Pcl4Tjm^_Ge$fUvClD~zC+YEiAm}N(DrqOWy
zHVjE1G-6V|mCV4e)GHOlNXpWS3Tt8P`%ad?MRZT=w&Hy24_`Cm1YfuDTvdy8^a!dw
zuRu0GM!1FnCC*$?TyL4pkYb|j)U0HJ3G#i)Egq+kRti))qz(J^DtdDw7&0E-B8+eV
zdxw=%TJ%XEzRE4mYm#(P&l<Yl+;}M+MXqVQl$wDS;IPH`oy%7(31y^NOlphqm#4oh
zw&l$gF*P;)!7_<}UdzBM7)_8{7Z;0oc&V&Z&wsiF(fquuWN6Gf99nAZPiEvF8>7i{
zpKPq~o8LF^QKFtndG7TrpgKYxmAwv^Mf;(paNFi3S^F;a$}`4yZ8B-E$VZyR2bqe$
zJe`|mPt8i||DdS3^f&%-^up4c1%v)Z%i%GD6<?QGS!oJ2Atl%oUL4uK<b1nr2zrl5
zgCchpi0*5>mJ2b|>^5K(CDD`4-fu0_yuHFgX28o}%aQw)(W3BPygGl6Z%9|o9+^!O
zb>W`sL~{S;Huj;?;jE`m&Z4T@=w^9#DlazEI^Gu`M~HRRGCry(XmUn@tn1Q$1aldx
zvhxQ7_r=1*d|feArB-c`p&S$$<T#Y+L-`K2JZhe)a0>6Yk#eF7Qb`{kWO$Rf>s=>>
zSb#!W=TZ@50`P<wkjR3D%AjRGO3AhUd5IQ_APplKuNIe8YB4UvI*paS^@{Tp`Q|Uh
z!qoQ18Z9OqjcFMFpDhCkgna1Kz%X4LHa|q(B91SmO(uJ!!zeJ#*+H%SOw9F-4|XOo
z1oX9r{*Mazd*}Yd<Aw+u1`3VN&%t27!itcm+Y+-_eC*>GwsmaGqi58rU(c#*-4493
z9{SK(e0+S|Q;z^7rB@MRzTsJL&;=6{5$)ApCz23U>a~vJCTwnQ-XFcD@-@{?Dk&gc
zMO8<ui04rhWf3pEWYTqmZ;BloY1u+)CIYnNpKs%A%+cR;b;)9^hS^soJs%8|TE(QR
zb))pDOsTEHV~oEMJ`15&Dbmy8kN5SxZ9qn9ZEu6!*=(_n14#%#UmCY(0c1QGli6Ns
zI;&CmRGGhHDB%3L+F5~Zk?aCRrloy}p<z&Y0#{B>^LqL-&Ol#q9331Wx+%XC9rdj9
z1@W&}OxMP@G2x}vx*Rn$FZJa}qwuvGd)U~o-MpGvrdVTo$;4r2Yb)ol2I2<0wUSz6
zvaIR@H%aAHZskq!8r*03;il9(OKkcL^IRa;j9gw<e}T9VlLeK~TDjbWL=AFjm~NZr
z>@-{?9Cqrr$bCNn2ph~kugEe%QKjyLxpidIsHQ#6d<<nUS__AW7K%ZlGG0OT)>oB!
z%kz0!C?thh;$BJ(lH4R<l8-gijKrbDNjz?xQqhbwm1mAKjAN8p5XUO!xz8-vRc2=g
z@Cay)Wh^R~zb5BtB>1d-HtT7^%Y|tMeBCP*YG1=Cal3b(zx3_{R2_g?!y&Ut>bc3K
zZl&FBYc=MD;8S9k884RN{ed7M17XAG+a+5~ti)@@{b=smhS9=$Bn0cle<CSp&ms|D
zV*knR4L!k8MkP{Go*5IZ1#T7l>~n(U;5I#dP|levi-WXwi!k)xdrRG<49Hbq2mV-h
z5)+`X5QtS^rJusr<BU?3UL@l9S^tord@B8OsEa>OUNlO{mWiOgqrLsAsDou{aT(iv
zj(&1RJKoD|5zkGto~sT`-mxvfWNz*3<TEzV`Xnuhu!bsdj<!j0%D?QyeS9GaY;<BP
z<5}JSI7OHk=F52{mKI-0pC*+2SM9w(2PQ6FLL(2iDg$a*S!{;_tNyIW%Q*%55HR_q
zd~aM3n)5LL*iFY(J^mDkTKGrP=Y?YedmlPDLe!Op!7;lpCOUdRaOdEyNAdH=?z7IV
zDmn|sTV)Oo{&dpODG?zzuSj?tIH4MjX=ZGMi;S_geW=B6`Y~F;_)Vuda%b#%)W*uL
z!!r8`Jre%Gdvba*j+l@zPRRPTEoU0U7YNhewcO;hx;OeuJ2w*3%1zjdO4+J<>9n_z
z8V+Ha2n7?5jq1m2ecj#G&o}GRpKUT>)1B8FsWO5yV9GJI&%34b4(X1hkHqL!fB!DA
z+7C2irwm}Q<wE_|3R|Reu3Zaf_Io6E#54D?8^w3`y*5f~SP)%B;9al4yaw%7BND<l
zMn2A}g)=MX-DL5TPY~df4;hN6xj;}2RBCzWM6eceH$g@Y(qk#z^Xslc5NdAzwf=PV
zAV3xW^~8@PX)-dhyClW+=~D_=Df7_uXHF|qpl{MJnYJ!uTs(wEkZJ?K=qo|FlWI!6
zkPT2sc1=ZcFzLl)Np!ofWOcd&to}%BUeV&<DAJj~D|RE<yyQy9<Fe`#i(FX3!;XC^
zf2r@OmGIOzVdbJ6vL-uSefe<@I8_a!lNFN2HxNS0k?g&D(0gTVAMWc*%G!GVY`Prd
z8+Y3-_B2R(s?%k4)hDy=sB>O8)sjZfDt|fTZwK9u#3mz^BF(oMa2x=GaXK!ru(noW
zd}oI;F~A#t{3TPA2(IJDRDwYG;3y7Pw&6hp4=pf70s|9LfH9rmJd0&G`bzmik*3)K
zk|7BsEk649&n?(-kfn|urq!&s?7qK7YdvPK)GHV2V*OEs0Yk78nnz9=@aF@@e1Yac
z3#wxtD+8!CkS)1DN|gTYcg`phQ5d}n51Me3Mx+FRTCSSw--V1ez0C9oVr`>;_89&6
z^k!}CGb;N=@BYKo@V4i1t{Rz?<rh=4;Zpwe!PY-5O!Oi&I6q&Z^>W3RjTEAT+;v&^
zJbF>*&z%FfZ-9zeUJm^GhoKUA$;QYLzBDi|(Mm~4=~FBD<{vg&j_J0vVvLynCVerZ
z!w=2ZNb5qq<M(~Xz1h0IYOxW#_CMJ8KJ&CRekG2rG}*;z?%hlI+EG4J3X2$v1&Aya
zQMUkq%(-d{*oF`jBAUy&uSt3w$jv<bRDWmFeO5-di-MGg!o(@jna&Yw+|9|VT*&#i
zvJGH)-6S-Xt;_OLyE;F!W`@hFaW2dG+i95+$wpx=r8$7$+7t;qVX12nF2&RF(!oJs
z>>C9S^Sm*y=QBKE6^y*Ijj2$R_dPVNG0&b1wGm_$6*3|GAibjTZV{78o*Aylp03#O
z7(-;@D7(~?>sScOeCcr$u?5e5hiK>JbZ+t9hv()LFE&LmM}MR`AIjHAWD-ixTyCOi
zCV2ng$`6zkE>9O^PK8kg<RP3B!b5pXHPvoY+Fs3oV@yeT!{ab(3wr5}=)dpqA+-;h
zG3cR<H1T$Ld*t9%NMJIG4&F$-{7hSz@fmkfc2$+D?vi*B)MvIBhhy%Npo=;PZi3p5
zz6R15NZ~|b5IiKepm;>R6E<U4R>fZc2nr!R{Ar9W#qHa>hr*iktXt$4y=_Zo5B8d<
zhYQ3ZY5X4|dMHL`7PycwX%btS_`P&P>%PUa4rYrF$<cwryxr2;MHS01bqAvPt1hr=
zyiP*Mci?f}smwFurBO4z*I`4zUo<tncs4!y`d`W-Io|t44!?&=-1i*_k@a~woOo4K
z=@3z@PTtF!%SfC|i+=gmj33qYLtNJ<S+ItPXcg}J!{LN?>QkQ$O-y|JB{XA$^@Vgf
zx|mPUShGKpLp!u(+Jy=tzIX*9Cv^F>2L%zh{Hm%dm`vj6$k%jIIw4)=3}1OFd-9c6
zd`f&#ZMlw!YlFu{rN4^A(vfST9eLQvHH3%I3Ub|{MNabMdU_i9{mEs8hwK-*J`y1=
z!O2zp4??)e<t1=p3n3qWockYs)A=RcFHQXX{1i1#TivqxRV$U-9EiONL{VR}GX`VC
za8(z*Y~Mgpag`6z;ycNM$r7Ai)tKtZcfJfl5D`4hnru8F!5`lLIn<A5kBVWCg;B6L
zQtp8SwH$@<+A09sb+uxSj=pj(!8Na9HfEdi{1frRmc)Y=hF~!%bg<aQcW_?%tFC%&
z+x4lcD?NAs1Ynlv?oea#kA~oI*^9ZW9g#0zeWBj%^=~xH2dqwHaTM59>i)hyes1o9
z+D5#bd?>c50mGB_=<1WOUi)}oYNK87hRV4oGy&!gx&AAnFq-&>^UMp^;o;=<peS93
zK^NSqg3jla3+ZLG+qvksd$RvX9Pf4EmbRZVBBBV7n?U?OH>7g;_v8N)?L2*Pyq9>~
zLTwaiHC}sY*L<**A?e<xJ%+hOezlo~j_&9ii^QYszW#!HUi`1~MJ#Q0Wncpn29z#d
z0{u@>oE6id4eyA_9s%ybmSG40^z5g{KF27`*i^Vlc&<&{z4`6Oj~`qf>j6?p1x;s9
z$4TyHH88)^KZEDhfyc3iXSGb0xchCg;ob3k@X@^8d9l6eu<Lu@Wy3MhFu4y#@zLRa
zb5j#%%~lTp$?Vh}A6jUze%bTR7s2x&1>^hl87D7??Ir!=zj;6}e}*i^*WWwFtwbxk
zFRDoSI@T=dUO$|d<yT@z2Cx9hwJ)b*(#3Zt-UN&P8Mx9<@RDva`%>)HlRM$Vol42i
zd_6C@dl$+bHzM-kHZC<sDc28ueV><4`gjk&^YIzmZ4$iPEqS~tnYb$QPd{GmVnNF!
z71&psz}!#oC+?2`J*`yK?ZwtDEG>zS@+eE}r7l%g=IJ}nL<Bh0tk~x>B<mk8s?U`v
zc=5mbKL<J>2E0Ag1)!ypo7gTLhd~oTfV|;-_j|l9(HDwp%r*Oyb>F;sgGTZ4+8p_x
z(cpt)H1$D_Q3(>nA3Nk&C3n9P1GZpaz6bx6Z%!hR?nQ@p%|)$1-Wv@`mQIxrJPUk%
z`+?%M0FZHmAZv=T$m@!NPS`}CfmJ}2*kjPeG0{Uc)QZ2>lX`B#hBY^G{DR0e)ptq+
zbs!sKiB5^#5fz4U6#9pK`c{LVXZRBL+G&VOtzsc6pkLXxDMsI8uZ!EZ)noi}r9u6g
z0LuYnG%Tfd_07G4=1cP3f5VXTdJY6=3<|1V06n|Zc#OO6fX&92z!=-n6EMn5<tK3O
zJYKP=Tc3e#J=ZC`FU)W8hzm%siP+8WuKyw^J98JRvBlQUkd8Y23KAT1`gM@^$!NOJ
zsJXJL%5VPFc{-=x7W((mFcqWQp=*<}LklG!a1V{7jK&2|6`X_3bl{(ChUApkmwPA)
ziQ4utNXe$rriFL^`NYRas_U^g6KUd{0Mxc$_rj@xmXhuOdE@A<<D>CoQT4N@a~NQ8
zd=1Fr(qHqe;r%vtbJO8i4?f-vM*kcizkWE!kJBN$7AMCzwv{eO+CAzxUbDss%9&Vv
zi-Z)2a#d?n6i;a9|6Ysta#-R4<J<vkVYi;D_Qu;A$qcgZbsR_SrF;cz7L@XxJ1qLE
z?s(ar*0=ZKt53uSn*p@Pgw!AHx@~R85$p3t%l+CfelIRwp`(N5Ft^3b42P8wXE@(n
zM|-?E!rDbVv$v9DVAz3D`f_%q;rh{<G%RUWuuk)&CIdpoZp%j3U8nq@rLMBS3gu-B
zB=hgH?o=5mWNzpEZ?%TkiE!_~*Z*%7CbR%;t44J#rN5!g1SXQz{kpcgJ2EFx2H<Zd
zV@C_ho-sWAqoXyZXY=!koa*4%cVK)lbaA=OM5v3rCp%=2INJTSq)P?MkE8wTg8WMx
zHRlXP5^zC*;PD36@dg6!wGDC|;g9>A6~;C9-!!()Y~<-y^;cblUkC*w>i9|F3%6gi
zu78$q(zBXW=s?XNqPwm;O}v7*a^lfehPsY*qhRfN&`$N7_>wMjoR+#e4ltbRxe@fR
z>ah~I)0c{G;g}^|#3a731EjKz(^p0l1Cj;p*qV=wYXf)nW~Zp+pF&7xJc*fw7ltS#
z4zU{-PIYYx%@t}`c9`qQ(*E{vA3y#|>``FWl>lB4X*aI+Pl@DVuOw4)Go9<QKYO0W
z>LNUC;_4S_B>Y3Fi+fQq6Y08I69v3`{9RV!^E_SyH`D~2lP|J(k}{hAEanCDo~CSF
zf?rWFo<upkcWQTPJa^xD%ArB9O~YD>U*cF<?5h^iW2ue0qxY!voF)%fJ&!?mg8G04
z#qECW`)L@v=+%9oV`S&hzQPt!`FAlJnCp1oj{m~V6%a#$b$cC9>lbMPi6<TR?Y^B6
zTV;|n0q=F3wojkG<TfvTeQ|ZQ>~?l`_EP+++gzBkgmderB)mqPzUSeO9}jO+7FoGM
z)c|tb`Uj2rIny2t5Y#LkeqMF3(bl_AY&9(Eu<SIxKejVq6wD#MvCIbfE-xiOP=N`l
z;r?1Uzj^5J)|)MW#qW0;l#RJ8)&EZX`!mD$Q+Bq+WE1U+>JVSOb$@j+P#^bcv-P*L
z)FE>XF@hmntwT3w=bmHjW_+5uBnZc}C_R@}{bF48EWe71N=EfxWsi+8s34ekYWs|g
zw6W;k1Ht>eX@IrMb0H1J#(6|w;C;Vj4%7VW&@^CGHd;DAQS|Ah_Yr`>NQkt6?c(5I
z25-SD=p4dz1tRLY_NwI8(8r>mx5mN8$G7U-<?66Hc8GwLyt{PGWfp4&#sV`v@<C#M
zu<K|r@o*4s^9Sd7h*Oq4+yae@5b4;M9_tK|;K;*VHL8RROeS*l@ZWX<v4<dm*6Ink
z+B-Ue-oGCMQ1o@D1E6g8Ini;}G#!_1$Le3#pg0y`tpS*hIzO-LI7$)FDArYV^mmD>
zboe@)Hz0MYDI9jL9(2ATmJs6M0qECDSB2Kr8i+kN!V;HPS0#VNuZ-6n4_V{`X8EAy
zA5h{VZo6xs_lZ4s8*UwV{_Rby1?pGc+si4Cf)g0{*}snuX0|0cyX7l&1)0Mp@GL2x
z>!hDe@b%a)^MnzWoFm(%Wi>&*cDiPPhr7*^dgV)0b-OZKc?jKVlpp%gKEII+<9(q0
zP=@Jn*-Y|R99g$x-Tr8rdfoEpHmJ0!{{__e;$D@<+MDa`FAkanYe^$Og+?BqdEi+0
z!ecYm@B8N*mINom$v+S<*bWPBG=z|eneJq3(pj)OC+go&A{+)N(7VuE-8#O}$mP*(
z9p|k*2IP175w*_?_a*J)3F4zClX>j<)iw~PKyQH!<Kh7cIX^m{5r<(bQO6Y>yQA#9
z%EjCl?(C%Q`@`dUF599j<qTLw&XJ8~n7rVJe(g)=zSX@KWI%m6<d;yuCA}nwx*gBU
zO429Og2}Sc#-(4*j#cznxUWy2Y+B?DbCMG6z2O)OuqQ5Omdxl+WkEH!%*Sl@AR9S{
zgit8*8eh{!(U~#uTK704fp&CoOvz={GaMP!3U+=7(`vhHrx`61HBeu@%9u>X@}T`i
zHJqC-q~P2qPG1)S2B2BB2tnrRKm^VOS2b2*w+i|&tZOcXR(R<maNHBV6W>%d`!O3j
zylqC!$xT_gtEX5}GGi1xvB+Acp<(lq*|NaEKr|O<u$BiiV1?Zx1@cN$4|c(ET@G&c
zgHUJZ3j_(PYW(my{a?^wgX81Jtx)DEef{r`!=3TEt+))k-L=X2Mt0!aG*=p<?mv4C
zoyjL;)V{UN3Fk1RnE5y+A%Qs=>R~BrWpGjZ6`H0metx{h8r9YvFvAk2?NU0EU%Pf0
zz10CP9)xH)ASMt44UgD%iGz?rOgVeqx|PbM+TBL31e@-1=MpUr7gBq7eYQnLNzZ{n
zRm7)^Me^!+Ih}5@>uEJpUD<n&58wvzoHy&-D)Yu|+BnKaY}$a05JNc;Xp&fBcLFRW
zM0~>o>RdpRN7B$q*1?!UKtV`559mSO?+{g-bFuOV#10k@M#m3zx2ASHk9Tkzm78QZ
zj%za>5`>p7)vmg)?js^<d7$uV{ob4N#2!o9<65&E-QQf%TL+t6T%+0HE|cC=lyr!%
zRltULrUe(r_c|Tv+}7^WSAzH)2ctJ{CN01AuXzKv?>u5{Yw4-?7K3o*h)^Kyu65s!
z6yC_n&hz*A>$&PWu3fnkB1?zGVs9p=ZT6ik^UTTq<*0oe$DHSY3nb`ym4L5Tb$*@N
z*mJYnMmS>paK%yCSuwj$OGIX*73@8^3x#&Bpx;ne&;TP@*gov)>Y8Fdas21S@gJ;N
zf@XR4pye1G9-185{<b$^`FLss;5mU-mVS3hMqX7xGxISs3kxzx0kQp?-(O>(Z~I&e
za3cEleX17v128x1=sQDjU{Fxa{^;rvV!$Cj29>^Bp@}B&beF{bGS~sXRy}sA%0?ZA
z5hKE3?u5!};9y7L@2iJntGaIMjabF>$86%DkrEH4S-eT0#(y(@Rp*FM|8Gweo%3`E
z49Tjh+pj|2Zhp-lt!8UF&l3RAU&`X!<fQH^wu#z%%ZJ$|fV2VGhxu(7`I|xoG^SHr
zD^6-P3bS_mbLSQi4gRwBgn13G?|wP|plr!L-*pr*Qjh{?3(c--OM!jZ5@I$Y7&oin
zIfIUOT;Pc`sfoLP6>4<>;p70Bm?1N))LRYi3TNef^2~Ux1uhS$#}ickxP++aeiE_!
z(@D;zfo4e<4Cgk@z?D%wGwQOGi=2Mx(_dhuNFM)1oVN_H<~P-m!;e!x35#f@KZ7Kx
zrGRS-QxvFU3dD`=jDFHp23^C*qsNbrc93b%$3WS@e9*!e)dnG*r5KAmXLz^={48#}
z<-`aBZ)O`&o`|r88hlgJrqbW9UcJf&QUr~B^~x2k7Wur|zl(?aJLA^P*B~N5OiU*R
z{hyAGJ4<>ym53Gr<4kyI2w5MsS`-qPf@@%x+wa=HAO9;4{J(iv=J<LqKZ`-kHck`S
OhP=!Jbe`0c*Z&K{(3jEx
diff --git a/public/latent-spaces_files/figure-html/tsne-2.png b/public/latent-spaces_files/figure-html/tsne-2.png
index 0368cb3e53e29005cce1167338c23b168913f573..da16574fbc1adc6c928f625f071e980b5a9cb6d1 100644
GIT binary patch
literal 291253
zcmdSBWmH?+7d=Y7rGiV5Qi4ly*FpmniWJwtMH&jl-RZ4BaF-CI#YvDt@E|Sj6fXp6
zaS2c~K#+H6@9+P<zwzFOmoXUUj1Y46-fQi(=9+VD!d_~s+$W|ZCL$ubulgLULqv4r
zDG|}NueYxP@AzK_M+28TF3*kKiHI0OFMqDYEbY7^B6>`u3RckbNyp9DB`|cx@!5OF
zz^3gtZ#=!m`ZSC*#z9QlS_r`;dT}sY?yufy!xBam_VMX9<c$;AuONAm>)O4~=V4cW
zq~VXRdKf^HY&$}WYd}Kp`XhnIUA}&XYRGwA`Fl_FdxiPywZHe%S8o6Q?_F=At1^FY
zzcRihBKdpka_jN`qmQ0j)BJ9wvJN;{ry|o}Pq;<$C;;d7_bYz}i|l{BNNGCV?JdyC
zk_$Z9pSw7lllOY^_t(GW8UJ4#$Nx98`~Us7{*?dY48JFOB)9PdOWM>r&hRx4?ss#m
zfRCKd{;~PA<I0~G^5oP(1)L?HDz&mT*Brb(+ZY3(18fzLMfwx?^cJ_U|Jlhwe}DfT
zy76Qx{2Iv5OVnj*B|X&gXn#aY-YW|D?C(Z}x3`Fhjy_`;nX}xz2F5%Y6>DdjOiG-b
zoH8@K>*NG|y|oO}++c%){9&cG=t-;cBcG3ekAB79x$@}JeR)<+4>z$01idh3rlk)(
zi5tpMQPMUuH<y#gF0G#v_Jev^7k7UjPafO2`O^P%Cb3;63BKHgzXSh1`rmLtIsZe4
zfCHvz2eRyfbXBpUAL+Y67tO(^3rzSxXIy_$u#ZD>OZnWUm-B4Hq*G0+0I9Y%Wkmb@
zY@`3|!d>9IzRtWShyxdr(T$0+PQ#1x-wO+F9Q&oW&b7Zehb*u6UmT}R_C?Mx$tJ_2
z9I8xY{V{CpqGW2B<U@#@$vu^rN3uS@KiQ>`_=sJOY(nwRqA;)5J7H$1)3Xw#&o%rw
zK<xf{xSQ?>S9PwqNhW!7iWsc(VY*pdm-wjA8hbox3E}*pKO(DiqO-FzD`59d#~83q
z(^P+aQXY(%i5@uLwiFDIZk)4P&Jn=z1zGm;x9L=?2mc_MGk5Y^AH_@ZzN#_AwtpE5
zHzFR;pj+BB2kRYlCvY&WCIZ9yS;oSI0j@+xELM?VJ(u&GGU{|#A#d*>llrO4UK2^i
z6V+)~@3l_U<NBIza7gN!TY7r*NT3@eR}2Fo=E;ze-ZnsuIn@xJ7F-9uCYW*mGK8Fx
zhTSHc4BpWtY#ts5$lbfP!ZVSD%5vLc-Rj=Wk8&t=JC<;e&8wm|Y~&CF=~xNhpY2E;
zu{l4*E&p~A&CrxzECRgkYcR=Wboff54Vl>gnN^c=vHgt+W9Xc~k)3ZRcf3fkVur1@
z2;584aK1TbPg-QHhH6V{ld`#JqR(oFMRrA6MF!449rc{KC36{Xj<#D#{fLO(GG$LX
zET^01xn;F(H;NRR<)=M5-E*tE$9%fTArBv1!BZd1rkTy5pepZA#0X<X4O{sev})bD
zO#LwRFejQ11&Jk0%AlU(n3!R}&EGQ7UH7@XfXIB0elusB?irq)1{CMqA$t|Sp(neM
za(v!Ajqxty498{=n&jtnjbzgLY5HVXMXjuK77*pp+z|q^UJVKGl|CDG#biCIH!Xim
zTx)x|j!zjMJz7qmBhSb@n;SX8ieir!Euv$hAISyy5LN{4A^P)UDx;)9>x4`gy4;!v
zeCw5!y;=Q?q)RC)%|K#ri=Qx}AIfw-3QYfJ^Oe85YXflcz2npMBcB@VQo53j5S)RL
zam+Ii^K8P?BIx)Pwi;t@U?(6fdf@O)yRT1OF);~hnHoA2$@qp;l+Qj(vPw&HIW#ns
z3C{o+=_mh(%lz^Cy+QI)j!Mk=>Wc*lx#08DNo-YNxqDASIyyhqjePjAlub9QLSgc$
zT@}5EjnyFaRVuN7`q+eo1k#|3hyIu5vHY_`YEhb6TES<~jMjH<E1?5%P%E}aqKWZW
zwOy3+`;t|ma(t{?Ii?21v+m>V^FPld0xtjb*R#KyD_qbV0@=h9665i+lHQmduc^9j
zn+h|&i4D<mqdJDE=?_8Ub7qThB-zk&1@*h1U(wQM;SE%{8<vM-Ow_|xJ2~*tF)@Pg
z83C_je1`=#?pKn5gM$NvxN}ngrtVBQFVVe}4Su)hUwGImdO@lqwQH`}Ab+tF_k^*x
z-y|aL!{lH<I^pw!iiaqK3|TTubID!yD0w-!R>24`)fm5IV6?wy{)F7qmu<A(m>D3J
zE-ft~5DL9{Cw5qpXIt~%H8T3>otHqEI|VbnXp~7uf0NPuxHiGTl=dIrX>A@0Ln*3r
zdUR4n2hyf*hO699dFAWk;t~)LaB+T?s1vyph(Gsl6^LBu>eJW%9PuZhUh@V}$J-b!
zeJw4mveHt$19^*?NUp)OcMF+aRWr4l6(_H3C+iV6oU2MDV|bmgw*6AbSTgOVa?$|(
zTAYJT)LrpZcJb0(PB3fqv)h34>@0LbCeBuZ&sQX(YqHGs$98shzJ2><UnM0i?cbaM
z=Sb-8?p7TUxzJy_obk6mGY+spo{Sk<0QOl~+5AW8MS?+<W66B^Ax+Y8ln6MzYuiq!
zX11yTD<`OJCv<nHaD(^WWK=io^>3=3++Ulq*38qYIiE=_p1aU2_;}Vs$}Y4Z6J@2h
z68>5IL5|((gy84f@2*Vmp)=Gh8B)XCJF925@miTO#=O)_1S!B(Pqjk-xN024%nXMo
z*wR=dwL*d#9K?;0v|O?Bhgh|#;SVB0=<+uhOA`|X>i%uCt<YeRB|;*4*+8&X<|e<c
z6Fp5{`p2~dd~e$;&}{Shx|_?tE%Oxd-WJ!4I?Dz$Q<NH3-}Pzgg?ryhRh^QThLAO$
zu4x6EP_{D_0hS<=qx=&rVsPv0>&KIF;v8)QeSN&`GB$Kw<ziWS2!f?F6842uRLH)P
zZvwL@Uao5Y5&hJc&g$Dvg4^>&M%^VY==P#FNPH!;oBZQ={z&fjUahJn&Y~>Tyyv0s
z@#d9cOSR;z45#R5z6;dSWrqLR8Y|y?nb1!A@3qG22pQ5f6Z9b(?gMR_=?DU|%NE+K
z^TevKH1tbY5JkjSKPrSKBqgw{{hxMEhwSdr&IPyE#7(Oa&;MQW4k}t1b*`_hfsW+U
zE;!e`vFgeB*!Sz~+V5?<RPrGx`k3D04)CBO;qTWjLxNylBCP9ZM&>tiT{YqN^8lQ8
z=ALJ<L3zEZD49lH%(6XA<J6heMLvqrT_{C^VdGVLV*G=Q2ST<}6xzwZHwUd=fJJm3
zheHobHsLVxj~etSwcuv3R|j9mYiJG6kIM|9^6wvueuhulS4~}J@xpbdnvqi{2@I0%
zE`^3~YOQORo2UU8oS&!LnGdFU)_AYAtsv|LfuSp&j!V0b{8~bOk5ku1E_ZfT5W(Gf
zK^)O|ae?s*+MbjDY6E(={{WbW>mLLi@Um4P;Ot-mG7%U!OHM)II#nRzRhOx5i&VoA
z4@On8b$XV5jDm4EQL=Y>(KpuA6+)!%)YXs*bCnM{HY^v9LL286H5tyfNKddq=l?t#
zIo-OtO%5ykB;lMkXG)O?Gh%^T-ITuErw{%F>T81Nh=>UO=F{D=gILaegLr;aMf!7C
ztJr2)jWUp{GpXu62X*0$?+)~lgN4H4NTXU3)l<2?yrLk7vZxri+_N$!PMYlhA!Zp{
zX()f}c%{i$kEeg;`BKfby7E}c==%5*(&T2tO8N-^@A0KHV}PhfBq#C5K}i(!Et&$3
zm-`X6D-h=;4STidrCKf_?}2{AQ^!P~5?tE%`^Gn^Md|tv=suME2I0CzV1r?@WEAE3
ziWPCUi(&^9DWN<o{fl6)xxR=XVe^7%)SJkRShX!9YepZFdp6xiGZeeo*X;ZnJW^&J
z+a<I{!X}065^HTYdv{llj*b@0p8}(K`X{WL)<GyV!LU_?bCYq|M9PM_q=TKSp2M|*
zR1XG`yEJ*cYB>$P9j1E-LE1gn$xwB1le<NE<@<3kBoYbR{X)ZTRn$nvMMf1(&Bw>?
zS^OXp7P02BPBS3MF*wNQym5T`O>a?7cqKh6D}&CTTqW(t?g~jh5L6i!(Bk5y(i|07
zl_i=4D<OEmZa0Sy(Pc!<`I~Sum(uz9`3+I}6P}W`E7KlQGfp)Y7KgYVu-n%+{dUel
z2?#;ya)}pq+Pj})W>ynKN^e^WEr__5ce(1xrzTJqu+b<99&WbaMM);&IA$YDej2%D
zCI@-wy0MXwxocAb7}9Nkkpbt_o2t&<yA%%xf;V!#e%l`eBGwpTU}EA=>2+>8Ubblt
zc8wEu6<bN)Cjh9>34g&$9g%Ohym#E_j}KZo_PyMdFI}$P1TJz1ffol87C<RrTYxQg
zXp0^jT59-iPE&=B?_{17qe-#z!X(n87R~nK=+~nP)8}#osRg$}MBHa`tO8{XwC#1o
zbQ!B(%?|c-DXR!Y<}3I0*;i;TrH<a;$hT{F1tMk!p8fv)`#GLnz>Y^p5-aKMhqH6h
zWJYBZhK7dDHSBw#>{LZtUeY7QtwFHXe2l>yIV5mr^#naAhtMntc3B5T`@81jpPk*<
zEg5_;X4vfGI;mW@icp_5O2su<Y<G_8?&}kaR2!H_N2Lh~3eu0Hj;g{mvn$#~5dBt>
z&$M6ex;wtVrz{Ki?Ma+*&|$41b)8wZ>T2j$%8$(zVyWn(7A<JmhOZ=aFKX#+q!SL)
z_X-LMESe@A9Eb6Z#^TY|G-0f<@{eatartA3#z6LG_S;FwI?d(nZ9b#A0qoMbzkq($
z3<B|lOep(elNQyiwbYeIhm3}U#E12CzSYMFv9nZQJA2^$advdswwCMGtl6ZBxBq?J
z<D1^O`Mosbf&NdkKAmzAL*r@9yL8eU@l3Vc5CugrIL)S^I}wq8+}l}C((2;rIi@7L
zEfhy?r=F}1Gt!xL6L!srq~EJr+Q%)~sjWruH@!|<c6MjJ4EHgAH_dGE#D;AFrnd=X
zI8`(LkKrL$PjxF^@1v9$yRJ102&BTEZ6!(XKP*!%IXH)pLhww9IKm?uxYuKQtW`7G
zGUyE*b6a*AE9iNZkgzuG(meNcwSfhR^DrH808*kKhWra#uQx9-Sdge5LX<^;-QL*5
z5x+1wO1IMKv17nD3JLR^t)Sk-*{Y~qmO>{8h~}jeGX5!D<`9;&74{(f=02az{VHL3
zWC%h}BXB>xfKNHWK^^>Y@$vekANQjph}w)3CWD`Pn<HpYvLMLNU)bxjJj;k9&6`Kw
zg1D*%i%Q}3FfZ`pht57}lvqwiMn+iILT5~HSyli;X9~YXwIkuw0q>NsHXVZygQGM)
z!n*okNgrWPVibpX?>;0WF}PQk>UX~D;SB9N{r#(z#MKp8!t>6*yL+~9ee>$3O`^WW
z7%aL~te}$3xvi=#a91I6l6U~xrk-cR6206XAAenYXzYiMq%o<W-91-X@7ChOd^_w)
zV={|AZ(>w|&{hrwH48h)lGr@GT>Hnq-Pta8-v0jD2omYU(<dnpU}bp=2#V6=5t(#%
zW8?;eDYP&CmQ^;k?f@3ng*Kp64TC9rs`eWPFDAqmG6Z;53!+<FpUIG1rr0Zgft7Q3
z_CG=uB9Yg~mJ0uM|8??uH`^jeXER^!&eChAwa^VCKS7nWKCbfH6T|vSw@c$|H$qWQ
zO+oAxowwYAa-fwDcTH?d^fSrh`cJ>Su%tpkh$la!^S3>y%;=K1Gju9)d|WnH95Fwp
z6||dxJwHXG(XI?*q9%+zwQ)WgHm%?BLxO0dT|4@-NEmz!ZXm<Dq(qyvcpzYxkku92
zNNvp1xc_Qr9<jIPaRN*{CUEm|mCygCRp;fsx=BRQKIR+69W>&ouw%ohaO(Ia|EW=Z
z<?kGUq<E7j@nLCVd}DHhfjxS8-33AT-Gn=g47_2SAAUCCXPfJ$!AMgSj1$c-QN^8N
zjaF6YN;Ha8cDHTa&z*i^C(tk1Cs75NsB(M*C7hj)p$rSe8^`gG;PyJxnz}0F<5%Gu
z<r24NhBv*G-(T;k%LP)pTylJNy<FJBG_)pcBmv12(6pwcH!v{3ehF*4JDW}cR}NnJ
zLy0tr1EfLixL{PLl0Ty@7}pMa-mT9kJgHwiyn5Fb-%|Q>w3gN=%#LpNQ~UF8buF;I
zB((9)NY?qj7q_&qY1u@s?{h_Ua2wP<m%WiVfh_JJcC*lX+3{WpUYG?cHkT_BaJ-b#
zce;e=mx$K3Q?RwMV~lW@)rp5cSLJe*V48XF*8E8pT_`N{YQ!c!jNiJ|fy*87{<g&{
z!`zbaHzWH8_URC_J}6qg(f%^QpC<h`Y=ArnnKxhUItgRC^@Qgk+^stduHvq&uAcMJ
z@N8OF=Jvu_g=cYGIFGc^ZU`&sLp#bMu+zjx7O0$*)XCCD5?pO7vN0uHPdVx9dRw*{
zJ4jfCj*|`^Pupy2uyru$S(XWNGZ^br#>m0pE6gt=DYJX}_NGH77TVgFYQ40Lm(+Ed
zqnyM;5N3Ca=seezQsMqjA~{_imB4}yaUK{Wvp?=}s_~zf91<G8NV{bDH1&yj(S@lS
z5pZL~Y&~FmXf9Z$kV!OVotUH1;Ku#EDO4F`J=H-fV>umL-7o3Cy-|N|k;OZ2w>wE@
zJQwx(pI$i$*J5imwpUQA<(50;;txRT`EpM6UFvo(9|_Y-3W2hx*anZwrLk{RdD+@q
zR<a*zEx48F>Pu!)TGmeQk0bC7eTfwU5irtbQ=*tBgNVnUW6w`E%9@*+n)rHmfB*jd
z?fosLs>`)Lm-}z<dPy*1yXd3te+X)L)lTpkuTlPEWG>ei`Z2xSpB`ln1wptXo%l5W
z>=yMIm$Mv#M&u4n^HF=vT-`Roj#M7fMvFl1+wlquYjJt!(N~a3^3O-gMo`Q?q$+0V
zY>aiXD(@XL*^ncL>+{JK)!bMT>-jXEfYmnM6Ckl(;FCr%_&zil2-MZnCXVWXwt<?B
zGiK2h@U*_yBOZb3#~VCL8$2Mt1{wdI`F8o!R(Zf%VummIwBWKo&T>w08`wDTtHHvJ
z_4OrfK{`5}P4mWV!k~3e(=KHnBNfBz)S3|X0lP;X3vMvuw%v4bjhErt^G*hYG5gvh
zC}S>XEi;IPv5INos}eWc(RwCXozqHZb)u`tpcI`TMyH)(=mQ>X)8y7_537Iii(ORQ
zR}tKXgjVUY%yP`3oJGx6;18)NwO-HF`mAD*v80NT;Ah3*MabyxHX&0lo4xN$A=Sx7
zQf}&~S;t+Q+~MP&y!rYohFHs^i=abvmgP%Xpjg1){)4NV*A6x&_$`_kI(Hmw!EJ3E
z?qSq~hK$<xcubOv<DTEI!+(<|VIO44CUX<B3*o*DD$u6&XUkvbt1)d{j5Ld!qZK}Q
zcFLM_ozBFgG&g6<d~)hMWB<nLDZ?AW+b7?6MdP8R5Iw89l~Jkc*A>Iw3TaBzrDv69
z!n%lOo4aj!a4nQkwE<-P+q33ZkH)QCge-r(8Y!u-Qq!)b{h`(NAi&TiTx}>oJ-<Ua
zJ<1e$^~Sut^GM!IKp+r*k9)JuaJEbh#+UBp^w+&?p@%4ov-M4E4gW--RuhMqwJqI5
zi`rt@yTqD|708_9Jp81*V0xKUqasXTY}RTqOHSf8^XcvZx9<1J;X2St19sDmVRSyn
z{`DTxYfp0`$E%|wns^{@Q(|kvS|a`X=$jdQ=|61pN#AtUxSll7C1uT_PBNP$H&phZ
z+uZWMXBxjSJ*gb>TxYcV<<`BH+hdw{|A|+Q?~}B8^@Fe%{;Gsmam9nns{;EUSH+Sx
z^d9KhBqYXv=|8Q#U7qXY$h?$@&Ky}Bv8t`DJsK+uI#?ab0WyW4DNwck+`jRL1N8Rt
z@;U@aVVaF!J$2@ha9Cs{-rAf_+bX{%ioqx`(5%GABVW8+GNS*}jX1%z(Uk<%ld+Al
zZnGbTdKuTD07KR^7iGQ<u^;F_5Zd|jw>%j7ZTi|{=@;~l7L{l$jqvU7mu!SSBe|8@
z`Z{SF@q5PsLU48Vgnp=dU||0lrh-THR#Q|D!pLKC1>1tYF;19f3N2A$OoACH_PZ|3
zLuGqDB|I-i=HURYIsd!qXUi7XlqkcZ>BV(HXO8wSTZfQ_jFU`LnhufE`C|b80Q`E4
z-R7kk{r+O2D0rja!TOlr52;5Cdjy&vm0hSI4R~P5m>IwM9ILq0yawNF^hg{rH8-cE
znzBdJN>021RyKw0Y}rvy{|9k5SZG-YyTxrX+Rdlgk=jW)8PQ!#o!5|c!+XlFXF-c*
zsURze8>FvaH`gbu0tSIV|0Wb9cJT)m*kdT`aS5tf8RWunYa!6DLxu9-xD{4SUiYce
zsQ|~`p{s&aPU<2!G<FgBv(I%fAKbzV_etX5bGo}8mfsPbnk{MV+!W+hEiTQ|>sDtL
zw3-hHU`K>^e-Qi(K()9sM3r0^=mmwUHad}?6&5SrF8>0#r(QYXmaAjL^GIJm%*qO?
z61c|u<kd#VhS{U=2O8%3N`tI@I3sa8n+F(?7m_i8310;1yJxw}>^dYd%3bZWm{Lse
zMbLmRW@b5EDc3G7-wukN%$?D)nzMUtBT{7$DCC4Tv<A7ga98LD=RW({a8H&jp~Evv
zT#Ww7bfz(>XuQGQBoJ1Di`ABHH2q6?<s_pd3T*78!V+uC0@|ZE7~4a;qiGzm`H87@
zr5j6bYqCur0DA?9*Lnl<3lJAn7G}v;*NY#^PeQWvs9#g<EM9CjZs(_CTj7F}D-rkU
z?G_@t&C0&@r5lNP+c?TE4{sY&Y<!{bWPUOFv@I!8;dFFG=S1)>S)9NPTVC*}HhRqo
z>eRKgi`vuO=I?ZEsH-c-4`L|#SN1rxGVisP<#?fNGIdzBm$Wm!z{&1PujB`r)jMse
zRQn8aklUKrFGr*1GOO+Mgju{aB|bc!C7k{6S5s}&W(N%x&Ho#jXvT6)808%KW68(e
zeGlis(E{E-e!m91&ItJJ8BFIK-8W!@M8R}__nbAfug?ZAqMr<bLY;I;tJ7YSWxE9l
zIO4>X&~busl4|PI8dCS0eOW;4EL+9uGZF^`ecp-6+OXX24~;9XWKub!wGf{B<*_za
zD!4FC1Sy#@yYBE2z$$EPY>Yh7e*NPX^TO!J<W_`AL_z|^3ZMDh{_O66QCQ@UxUkqe
z^0yHmw{z4GW+{whcSbCS`qQNc)jSC5(p+_lg&x$#k*Pq1pLXwkly<)i51EoX7y8R1
zD*r*_K*zSv%|8yO*!jo$Qtrcpd}Upxk@f?}zgk0?KHmYL=N9`Pl4CoclbEdNIh(I#
zjfQ1LxR^hCDI~23B@wgWBMqKb|KP@Er)56YfnUpj!P({R>I&US7RzyXJ#4%b*pn{G
z{!0eg{OC+*Ut`GAK*xpsh9DVPf?(VWe;V;Kfl@TnxE&QLzXBN#NNw%IQ5zP`#uu##
zIs8pWR=dmn0H<6#GKGM$TUlme&RXz|_2?!`cJ>#`JSp*2DoPh!kf4O^IRj~SmK6Gj
z<AUVvuDSVksde!-%6p`;8|)u-cBk=GxgECFOv8R7hb7eN2}M~FhNRm0X=Zyk+`Cn)
zaw8FqJu(wAAc8*lTc|p*CxpT8PfAy4a9bSof7;$Ez~D}BF}>&YHSb+ncSd?bEQ=+?
z20X(K#2Kg5*>i8T3vkWMa(AQDOMCzQ(6HywBbQVR9xuvzsPDA+vXDo8Hqe00y7dWL
z{Z=6Ja8a;yUl*^Z@5HvAXSq@Cm*0{PT3_mqHJ@)ZH~H+m%aq;l&`T4%`$lTfQqOl%
z^JCFJ{j97`HWx^|dL{2k$kaHu>JvMAE}wzWikU?LFs7+Vlj{I(8<b8cj~5YV4_6RD
zI5_%!QfpOK6{|BRjp%ab&*pIx3=XQ6lB)kJ`rZAT4aJe`jr?FQ?Qv_e121y#wBt&T
zK$dP{s$%Ts;d!N$Dak8sq5IMMA&Mv^G0WkO_FMWE;URv|XSdsCo~GZbR!1s|Wn5nd
zbx1_p&o_#9#~;sB`bO`PS<qw`KpOkUTD&*(l=xu0D`qY@LKA0rzMY7ARu<&ZqpjrL
zCEKh(FF!w%ttmpo>{OeohdQSGw_>Kgk#bUt^a?Ao#Ojw3O~WHAHD%=>r37DIULe8!
z?FF!ImL-NHbQJP&QAOuxeo%*%T4f}nRVzuOmcgZtw#+r<%>Cdkylu%I1)ZTIHt2{N
zP}^#A{z7>~wId4Y*0hwH;XA0@gYWg4&!Hn(#<IR&d%pj@y;a$1%IxM!iS2M*jJDE`
zh98w4O0p44L&dDkO~1|azeU`R^Vvorxx+ynMh-PjI5n-iarzT*9v&Lo%B)%sSxQ@1
z^WJ~j;4%;4#zF?}7&&rB#oHhEz?9akfaG<uZ>QGWFj*B8`LT^Tj*M!c&*tTwS>Khm
zFg?DGw$Z^eftPiv3V{$8C^aD6SPu{N#k-YRB2YE03MtRW7*MxU;zJYFc?(kA$rsXR
zplG;e0mx0de|GczK3850HVueI-naioqXc($&~{^j*)8w3vzCLrT!+fRSEvKO{k#=N
zP0GGCm*9CPKQ}psy3ZPNaBDI{5uHKnRPypgg&)K!W8av`g8i)yNn0GGTnS^p+VTRW
zOZHO7Z7K@G;@J}9hKj8~RzhRx2N1F7zE)asgvQ$I4!bIo#(?7rB(mLVXVNxnY-Pox
zDyNuB7~O`8cm35KM!^AYQ~%5fE9A@V3DgHKWWtuKI5J-`j(oR8Gmj{xPv_pb6G0n?
z6fEM3gH;sK@Gu;hZK_~N2&Eeh_!^GYk16rNwq^h@B|2684*?MRcelT-J)6A`kMB->
zAy#5071u92Xy`jN>dBinT#bGxAJh;j*c3?c!VJLA9_v<Q_kDiQXSdxkwv+9P(T>KN
z@dj-#aIZ^z@W&^|Fc|{+pd%Kmi5o$EgGKz*uXVA8cNAyB!X{U}xFn6YJ6o+*eFA)&
zd|fAJO6R<Me2$KG7V4YKN(=(fO>}4=p!jc3*BDfj>^t=z*1ft<!NPthDWcAPHui}R
z1%-Zguu)g<0}VtP3CH;wK*?8LXyvml#f^zU+^pth;hHwjU#-_`>XR*8R{P|Cr`W%V
z+bAyjR6Agqloqysqu@0;g})fHzgg+cp4mZR4GS}K1N|hO`iB7&<Ri6@3?wU9Q>1wm
zeNJ3}(bXE21f4-0ldFtKr9oD`LZxh*%||vn?KBo2NMX<Q@q{xVlN}$3`4r{CY*fW{
z#mAd)@y=#xwdKFQNpHCQax^lKqQ14fVPO%&w+Sm<**n$>J{bX0QP#!jN(3ziXCxE&
zM#+mkZTEa<7-(eKu<RNu-@$C(6DqACe1la832OvS+dp#VSg{6Kv$!cnfcg=Nfh<Lk
zVf&KyShh4+olcM9@CSUAuCPA<<bYss_zQa(fd~EuD5rGyi1rrqtSZ&<^7LZ`Ui{=t
z8?rYOo*eXYJ>%YiPu@}-w6VUv9v8?*!l^E~m2WvH<?;x=+g)*fx;F?&YHoElK|3gC
z1G$=-gfa9IpwTy4oUf|L*K2HpSwZMY-aL<hpr$(77mudQiYtw~wp{C~hEr9e7#<2g
z>2-7wvFWr~=5|jy=>~*_g38HFFFYV~$jNzabr_&{Aj@+BJfuA@O#H)NO#+Jb_SnIj
z@z(<sacw0`&i3L?K<vWe?hYk<X;MoV=VoC?o6M_D0u~BY;wG{6>mfAO{t97FuXOS4
zux>qT*b!uCs9jGt^@bQu9CX^h1PD{i)j#Ezw6v6zR4U~}ARn8)jDx$+On>$r3c-<f
zBa-Dudhb`C+okB#&)V5<A<DvFKsju)N+>Sx*|4NFZ}jtYbIV40LgXa@G(YHTvrPI9
zCgbz_CrRt3gBWVVPuoM%NhNLDO<_Dhrxdf8T^G1JnHpwdC?YrTY~NKnITQ?@cXR!H
ziVKixH0MjXIEuMAV!GI2lFuKQNmn7BO#ed7kfJ1)s(-Psb&-n%R1rDM4}1N(h7{MT
zwI?oJ>}vCp`1Lm_+r6`|v$`dF{@vweO<?~hN%lt2bg`N-sgBJ#+Rng#CEScxL_O?m
z4~-z;C;qs7F!kRM28He&H~cvGc3_=|Di;D-f<Ts5)GU*)bv<VECX}HJvw7axr5p97
z*h+2vyT2qJI1=XDBWRdEY%r5*4}`(&RoREcjP(Zx2eV{+f$C(I=4WH@{_2pxy~?SC
z+2S8#*%-<bTs4=3n3a>ek?F4rxzC6k0k=neNno2&*5tDwEim(kU_wnW;h-$|iCeO}
z*bBgKZrxG=TC*}V3!ny+A3LJ*Yl;`VzVko^%s8fF;2U4l-Gw+3UktUpD(~w177>2;
z?09q054&pMYh{zEy#0C~{hc@R1FVk<EOM_k)bS}`Xz9OgJkl7*?UGWp@VdeHIu|ST
zfQZyENjTU&9Ydg~8D2j8ieC%VdlZjNkiT~pq>f$9Q6<mP=rE%mV0SVbS1&!<6?!qd
zlz!PWw&}DEi078HV9iZ8SrVigg7(lvf|-2o4Q*89$4G;s-)9mfQ;R*`2WVk5c5(r{
z2(-5VYqqhG?ml3w4`}TC!N)JQ0|z8Ke9TsyolH3DG)Cm2xVOwLqx;p7|0w!Chk~m{
z6kp3v^&36NVaZmEe_ibR30F4KR-}2C+c<DqlbvE)Hki=;r%fT@Z_<5Vx-l>~II(eH
zUqzgg26r(|{`kU9UAeD=Hy5l7&hN<|pz63mR<!Qu$25vp4Qn$}>qgL)&fC1?li--=
zUFuRQu%GEy5VrRmG&^3x>T5Tg%mXxjW7l*7hZdmQ1O%M`Fu9su$e-F-hx69RPW4SK
z)go5S#GBkOSXZP7SrWkC!K$&FKx@LRSxtwNo;Z82ATc%@7ZurmC|QW&sB*wC!zmNr
zJ?GzR6}r)l;1jf4a$C^Vtqsg{$gN+`s1G;dHO`n=-kshQAEF;BbiySS4@wR~(eWxE
z?(lh*N;ZHpfxQ1y!==>M)=J3A271+t&Ih>&PPM5B-VsYXYS~B?Lfll%<9s+an>^ws
zhJciilihFqVrLC41A`sr+4+c<Y<{t8*{>@nyza9Z;6&pb=Ib{{Yl<Xdrw;<>JRu_@
z+Z&e4fLiqa{Wa+M*j~zH!wFa8#wZkYpOVq`l`X5fpMPTHn-uJ(L6)q4^^6m?I%@K;
zi1S7HC_cww_3@X<TJsPeMii<%b6g=+gO{L6ZR=auR&WxlRG_4lY^=L(;J9oy=bgDS
z?L0NxR^Tup=)$>dDZ^VIH845`?xPmp<ZM9op6}fnISx4gWlHgXN9%}U15}OkoSgg{
zch^rr+00&;jJ!8OY>e+>Kg3IhDXEzFz{i!owRU&EPb6;_4NY}t&n^~W7xe;rtl~k_
z_Ld%mN{Lq#TDiypRp<71u)VH6ZYpgj>>>8bd1ELElexKhX;O{jn|WAmEQ6Vj@L+lu
z+|B?55-&Y-nPu}uCj^acOS|d$l@E{f%W*6`_FAnrte?&wcGFoIo4_`e@vsRqvvEbe
z9(kZNL|6m&rwYLV)i=Az?y9h`wk;HO_LA7sgx5~ub}Jtvr!d*WTPj6ERqYN2r3R?8
zAo&c<i`7XWEq{ITrxI%J!qzx9OU<pUXV%BV!m|rEObA60h`fzz_>WOxijjsQK=L0z
z72v4>H3ypP9^@6IP{#_g0#pt2lRy@hhcU}A7@$@>@5mkCid)63v_`><fKH5q?y#mZ
zTZYcWc=uA?-Zc-Ytig>LFY~*C2xB!mu9&b2HB}6+FRhA6Bj4)@C{x6HIm}oPt*D18
zw-(;hRHBg~|Ks9~gBQj%i)z|~h@Z;VIk_WGx$urin5^;k@IVcHwYqXTrlT`XZAbwE
zh_J@VfcR;W&quD>C8HPApoJQ0h^H8yIuL%ePTC}e4fbr}$Of_|kV*lSNHF_S$&LA2
z9qrYZMhGGkPY}L8VTGj|tFqf8!`_w-Xi6N4G+gRSgrOFb2+)Xlbd(A^X$n@`@15Y;
zlQMe#F<Fxl0oz}cnd@+~W@qlLnb`qnM!{f=Wbl08K^g8~4_8-LU*Ct;4NqDny#Wkk
z#&<TkRr|?2pKxXlCckmV?1v9!M@PHdBnVf-WmJ{umXFCO?`;DLE%}&)Ta|FaIl@w#
z5b)S>v#wW>`@LiZLuyw6*JjQUeFj5F(`e;P@6%U39R?zrsSaEG?&W;|#RJ4X4ck(Y
zot{|+t!LedVTqz{;|OMlS0?HyebH_KUgaz38Hs2h<|~C<_Gv!*o1)C;00wrKP$cx>
z6FO9En&Ef5RlFfkc@D-Dfct^=p4LzjXKw<~<;jr{h6KC_5m*!9fb&BRR!Mq^M@6=9
z+bHlZ;{r&bAY>5>$nD0;Y!o69SznqZAKZl9%*@(UC$=6;HpXYIFen}YjC}AxKQb~<
zWQ~RDb0O=P2p_lY)+eu|1Dg5iRgUE0{HSHMp5y8kvCtvaO*Dm&etARh(!tB<#hb{{
z+IfXK|Cdp{4RE#XlDQa5M|7?-G@?6KpE1-NztG~ON1QP4)g)WpCwWUgUX|GW0o5Ci
znRf1B4PN%8Hq|GfMeZE<J@Mv%K-~%Fp#2=Cz)$&rpj#{bm+Nl8dM@C+#iJK~ctQr?
zkt9D5lQCPOy-T}ZPYDD$8~qsvvA{V%cW>IR+tz6HwSZ2Ly1&u?d8lnvVx`2JiH@U)
zOACeLXg;ph-tlXv!x{vi?`2U8VH;l@JWH6HZhI2!>-)qPACtv+(Yr!23xN5tSD1U5
zKB*I#h3f4f!kq-WX-|l{kk57)%m|h^tKrlMZ!qR%9V5p}rr(c(3!>vl*FJ55o&-)a
zB(p3zN!NQK5glaOw=IR>m5!LrVZOWGXQR&UzF=@t4fBI4dJT7`Di85Q8};hV4o5!!
zB!OtuSdaglNEBW!<;B2^7bZ$Dgj5bZ0&rT>f92U=bK_)i8{M3<9kzO#pg|wT1`~@G
zzgEUSmE{xc<6}grq!tGA!p!uh@LNZsMxx>Ro|0!5lNj_9$!HeHXfvEdaM6f@_}U%P
zPot>8y49cyyo9Vn*xRS%Pd^ijE>b=ulS|ErxUK-Rc|kO$gQ_~iTopnK$q2cXAmyiL
z?sa82&(BD(>%CNWq$8h_BAH)~j$aJNqz(7wAN)h<N~ufW-WMyY?_fPp38nMdj_W?)
z+T;(l^Z~R*pn%+to4MBpZ=5pucAfM#xQ!JQN+5eF+V_;b`*ADj;98vNpaZOBrHQ@`
zU<a=h`Si9yIieUxTCR3HnW_W220QzR((>V<Up8AKg$tN}OykdJ-CI8|*%V`Xgy)pX
z&ZeWetF;{N5ZYjO=ycW4lYNo})%s(l8$k6xcL<_U(xz;m!;t@s$mR^6AAExyr){mH
z2<zedAaJiWU(4!Etevm$8`NS7QKrSTW6gz^kwEjL1E6hrM7KXYxL#^s20<=VJGM3&
zm^+7jq_J`;Ci0!##mE+|Hgbv0e0k8+n~8##k82eK-oDlsgp0;?Sw0!-JWj4aG}boA
z%9+z!kB-(!op*C_ezJLZO(9ZnZ`?7&p%@?kEIw`6PL#GwY)5SB9{WFQif`U&)kh_F
z3$t*c^E=#A)`3y%5a_J|Wq(MsC3+#*YL|Hy6?-FOO-fS*Sv{Zb^5Q+SCG?kC)UBuF
z;(<ify-UNfSB8Hbs%TRJb7tbX0&pSOoaZv2dhhMo{WnkPX&a5+EH;I@?|c6!J*
z4au0;{r*=-vpzL;d{AYPyD~5A3LDv*Gb^{U81ICSgozRM4xd6+iwRGlZ;)S@ti%9y
zvYc-rJRMhc_+=gfHt=T_7C(c|;@SokP8Ud{uKjMR$bjmzUG0?Ze$K6yYgSa0GUk=w
z?-gN5`#A205dGjWYT2o)K`SVOTl=~wRk!b0zk^w=zQrV~42*tEQmezIU32$oyuwSj
zo(JH8x^^oCY=6UN$>9+2w1ZyF!=iFZe4|=)c8(~qRldXQw$MwjmoqqP2+6n&(KgNT
zrKy#6;&!p+mlK!ko}8TgoO-%fW9X=9e}~=oI;aoJJyww0(s}^Rg_Ii1GyB>FK1hcB
zdWV)o%|*IC_%U=+??^`gz$(Bm>{)w4@LoLmvPBwa2?f_12AxXdbW=9>UvfV1X;#Pr
z`YG>t*v^OOs-%gZ5sGlW)}M)0AAMV@8kJjV*pyb0DDt9OLA-3f>)2i=HvCe~P4JE*
zIwhBgB3JZR7Z@bek-C+<_m<=q2jWb}(fWDuQceyFQH{VPKW(bGP&A7$Nvi-WW6{Bs
zVfwtvN*?aH)j;=mBE3B3fJ@_^n%(*RXRbw;$2itJ)b`hxm!YzSbk}^!9rxX11zY>8
zV@&P5?^JbH4XLV`g!$nfeyIGyn234pY1X&Cd@?pOIeAWV?UZn1G1zQB6HXs0hifM;
zxZ?H-r#a1wy#q74_7;hxj%ZIojcuTM^}k$OZ>+r9%1Ur@C?{BL4W!u%2@cMc-jC7E
zqB5%e66Tb^?K~<Z-E&v^`Y)`JbGEa(Tk%6^zH9zj(L?L~jkuOV7X9mbl#KV?8>u0n
z`-1}o8Y8FJUhnmoAO_zNT5E7F4X)77LAqxFMtKk_uLRQ@%X?y!Kaw!4TzYBCpwjC{
z!1m2Px(A@0Swi~Wj7HyBScUAqLn!x>IaNmWcRr|O^)*E0fIfe9jPk#p$zgXm<iPcJ
z*6u}K*caeQ_SWT-8wW2>Tg;>?#c~#;vxS8WVV+>@?6<Xl$Vg`mtN?IBS1oYau~e$)
zn=;k)a4R$6<}J*{ii00;<bt#XfnrRjs7QB@c1V4g3l^rR7}j__-i^{Rs6Z0WaFlix
zMT^T;3r#AMzYfu_4eLc>U)8@{*f<HOGn13vZmvsU3MorJl-q*Vd*6JF_!eQ}(SXf)
z_>0ORmc0~3*&OI|2q<jL>q@-9WWz7=)ZX%6-VEyMQwb*^cVhwvZmWGSgfhHOnx0za
zEQ!ZFL^b~4H247f=QVj+zp-fStb|@iYRsH3Lni`(*!1%E_NM6&Sd`Xnc2=pGaS|sy
zcQ8)KNxzQ4Q3<F<dv3NYcekS3tpxA20w*b~Bgr1%mNje6o_=lcd@HK|s+g&BXMR3=
zL+Wk2UZQd#u}@d=KfRMulWdr1x%c|aJ;tJ(@5=`d#q@~0;&`vb#$Nj*IIOJRzKcLF
zuZ<Lh(o-ZJy0{P9oV*$Sv6%xa<a`5Cds^i%bJcYOPxPsxc;UGF6cFd-Mo<4ta-QRV
zv$ZY(O5WOO*XeM7i!jJ%$rozx7$UVheY5(+2<DrljZInkDpw)*ga;q;%}8f=+wA^w
zbar;OXbw6%-J~YcvyX-}(~(CF_-`v+2N(AwzF|S=1!DQBrqU>L5mOCw+ZpZ~2PY&n
z-Uzu8T}K`kP_NxmqwVsuX7NXO=hCg42gXGaR3CAApP=@N?DV6Wf`wL;h{Uj`*PkhZ
zv!Rp=oVIN5lqG7@L?jbFUscVKQYzk<l3YoDgH5*S{1rX&Wrl>ziKiFxRMXD>-P?@e
zfR_1uUBsuBB7Yy5z(brd<iZ0R{3kTuV*C0hE7@MEWfPvjM*5r`l>ZOe^KdE@n|=i~
z_a}&(wvp=R>kV2vp>A8kZRvZVMau_%z&W3dl@!R~-Es<Gi%V08Kc`o~Fow=N2D_{l
z$UPLRah>PAlK9gZZFlNK8{&;g+)STV4=qWB3X_KoM3D|LQz0sIDx2>boH^*ByRUYu
zB0n<TSXemO@(s3se6@=px3g#jdo0j0@bp2!=by!ku*CHFGokBhvR(IDAA|Z%0a`C|
z;iw<w9V?^e&ZEmI8J(PPwZ^yUr^G}t$ex3}RH4C)FD52<>g>;^4JY}ZVaKaC0dybM
zbg^vpzV-&3HfQmlN#2cy<nc5}A8Fogc7sC2D^iOVVZ^i}BK-pQJRzucpolg%+lrUh
z#xgu$K3Kc=NyGt<2>C7{phszgQ!ePPP6`axddu3h!N@wm&NsoqAohtd0lD)JW)e@-
zfbS3p?XTDJwySte|ADBR=v``r>!DIo%(Tm(H})wJH#Jd+n<KgKjVhwsin$>IxA!_3
zaStL%1lwuh51&FN1~X+%OAN}kzT8O`yqa30*@m(g?-6rt#6H<Dci6)POo{B3HJz+G
zdtUj2DT4F<0~ZrUywsi$@qW~peUkg^_5yV^D2I7T=4x9PGVR0ty9pJF%-6sCTjLPr
zIZ(v?_AH3Wy3a)*`V;ZhPoMO%wAY~x^R72YVTMDHjUAOF?3JhbQG&$7&kCy#8p>Ve
zw{outM$X}$L1GfZKTC!?uJ=f$xZmuE)%*3aPa|zKU30UV%~q9;Vh|bB7jj3{@tq`t
zBb4P+V0CEXx!{YIeHDE?k$Qpd$o+zYd4VU+kvp@fbsJj6+Xf*@JS0q+8JU@UDZNal
z^HhHl%ZvX^XR)xnyu7<Bl((2J+=26we)@CS9Z^1K_&g^Y5H)#1)B7KPr9DhG<!N(>
zEFTBX#WeV$O-j@aW^WZDcjjrV=!on&x<~mA1X1YfnEsfxvuoY|aME%UeUL?aS7y1_
z#NFxo&a4>`pPL&J)_@0#L|dz`z1(O@;cnGa7uLL4CkX#kQ*PXD5_#?G_m7*V(MhTp
zvy0r*M_1gZo;3JuHy<w}Fc=Ii%Ues@^xeKu7wWV`qol+@Y_%gcO^$)Ft}})y1?l-`
zN?iZ*MlV;_ovj(nhN0;TIlC@8Yqjrv^*Yt)dXR$kp?0VC^kdDW)G-s=Crl&t<?%Xl
z>J1m?_~tnWu@pq2679dAz|u_P^U(4@qS&kdxR0;;G2Nfm3e8qbb02WHb9z4Ex2xi=
z@dGbf(CD-DdUy5%*w^8-Pm>+I*jTn9l?QpGs{?w+ed0iH7+kmP!<8^trcTk0k$=v%
zc@E_RiwdW3Pi<9(trL}SY8JWQHuh*VZ*FRU+#2XH?iPN&AY%~?zv=ooZOlNO?Euh8
zG~T*z*>dP#;=Oi$uD^g!ZqN%8h~Jv&N0t6k;zxXrV2u>$7HoZm6ylFR3486X%#%IC
zT}80DpCh)Ac&O~IS>)zXx4zJPhK11N(A}tiO|GuD@El1S?YXeW>7`g#AOd~!e1Q_f
zIHi4NsguPT_n~?|nG)F|Kk6(lH-=vh2$h*Si*`U-GBIgkN{Msyw@J#<`k~C%Q?3%J
zbbm33&P$6IG*%qIl~fml$%u+*hdU-ykxHh|+{en~0@(MamN_XxXJSjAHI6I2?2Q+}
zG5dD?swEbEL;fI;1c%(woJnM@-s~PUT=<LcBK~Jb_f&spU&$`7)prj~A4DxW=!W}i
zGZ}+4m1~VllWi--0=*qvQ(ri1+|<^uu|od4zCD3T_t;vHs;~Jx`NIAAawfTpbQNTd
z<BBBq!)smkq0_F0Kzf>IUN3J5IM1}bqF1zLJ6Q`=;Kmru<;V=|IIUHd@~os+QA1)x
zzK#>YUQ1<=dt%RgZ15^_MS@XlL{htUqJ=db1{B?DbXNlXoQFk#rm=Q?{*L}Pma4=z
z$`=d2Gxs>AO|O<Sh~0aw)<VSBnS7gq!tfiNSn>z1$EBJyKtG}6N)~U|-@HhZL}YPk
z*(?QpOexD3#T%2kY0s{`jrzs=Qh|Mq$NU!DxvDWmFWLk0kS!aNiLAe3>N<j>IV;6X
ziof6yy#KxuE@P)dOX^GgwtC2W-v8jm+>f;u#Zb(IAU@_4Szs4ZmCUnszk9O0dFw-~
zm|-uI$-p(FSgHC{BYhVMix?TGAj-VhLf79u?FP|yU=1YeI8%h=A)zaBC{`|Q#BDx0
zIvRYPNE<8C5A?JnktYCoA0z1vk-utmL**@qJ|F(DU9VB>>dmL|pISa}G6-2j^@nwe
z5fGm<uw?bJ$a%~IRIO8*Ge9VtaR0cBJMCHeSN{OqfRJ=FQb>K+bv66`W@tgW_hTC%
z09{pI_qbSIJIkv=leTypnqnk+aP2;^S000ijSHqgH3p>JrXLbNdEhXtwb3P<PfUa}
zG{c@NoUh*XNGb5Nm^lAF#rV}mND?>@1*FmoUr!Ywq+=2zEBx0~E+4V6X_-nNeGV9*
zoiBzXc&Cp$YzREiWwg~Fcy}A?cJ(XRTUORzLRwN%QdX9V>`jSa{x;#V(;tgs)G-gW
zPl04X3@RUJ>guIEFMj<&ljy1YfaIMURqq8NuDTSf|5#dwP`1ukttXy2)nFaOfEHEf
zV9~$%BjvyRA>3er)8J0K5_>u{<-C%<yvSXhbf61pGxfn2=R-q7%@>4bTiu9@kCEIz
zwH==g>xr=*bVcjD+Lf!5!*oEm8>_a1EhxyUIBL$Y!A;`9zkgmK6V-6%ylOb%soyxY
z>Gd?owGJ9a71BGjSw*MJAMV+u%MsB5BwgAR4JXqXr`F_(iVbp(RL&4p26BaFfBzh$
zt*vb+`3`7zcd2)-*_dKTN}oQ>Ynqd%=upTe8zR!3?fN-e0(mX*6VVO9$2VY4)gN1d
zaCvG|&$353`1zbudOiOuRc!y~&Hn-|BILMKUZPmVU?W05sMK&vTW}1Qez~&J($XS&
z*Mdxto6mNti?4G&E3O)+E9+@{|3xrFHCSgsqw6XwNM5yJmS8)Wc@Wr)-HeV70lLc1
ze`VBZj$nTV8|js8zmw}DbSy6An(*1`>o+!SejS^6%99bZe&wk`tfaSyNAIRrqj^?(
zI#F$7BamSYd95kY{h}1G+h9cvCNJvMs$ZiM(=k?wC5Hd&1#k&{Py9Ubwu$S_*e)`r
zo6ofGlRbza3$Z+Mu9y3hTVjg;t50Nr`eY$zXPqEQBp8=>^|4bT67%`q+t0K)b*lOY
z24LWr=<T;6sP#_i#zuTX&sOLv=QUm*;Eb#KV}XBF!&VoF%8&~ZZfZbh#O|(}RE8#d
zLQLnlh{lKr4Gm4%_B{Ks{%<wv$E2TLF7|#tu9#e+G;f%Z!;tj2Qq7d`E~wmJr))@m
zsB6CIB`z+mF#_w_+}zx&!6-DSetw~^euYSw-Wsmj{dA90#JYr2;fmF>$D9hr2VGHp
zmGpBLzbu)PRm1cyq-cu%Fb8D+Gug`i{{Gh1gWUZ7J8#6O9D2OW!e&CHUTchpM+<As
z&9J|54l8stT^)E%svGFTwB3l8yXUW^TAAD`QwQRKxjVl8Fkre8ym}%Qy%5xFtMUBT
zrep07nP4wDN9<uQf3r-n+r`i2Wo145Bp3bL+v~Bswog?Bq4P2V+G=-@IkiW7hr3_-
zCQ#-6d&~Wney3YorP~Wq%SHXnEV<8iHD|-C#=m$bDpEs7r=`Q<cww|A2%kZGrhCf9
zrw4D9K&&qw>M=UKPBi#iGyfkP(Aoz8J>4<GGIO^3s$h*Nm}#fq2T|ou<(URSQZJG%
z%phblnORx#(sT07^>HWnPOXhHw6N^vSw|kykx>pRu5Ve%#04pGwX+4O-U3Bdv~{E_
ztYY7FwjQ_AbAF7G?dJRN8!>mf{A}RXm$_}FxWwB%vBV1c;J75J+bybJ1Y8+Zh>U|j
ze?)MHq&hr91U4k)3e?94G8qsOUU8ao65UaK+jg@fwN5;-O3;nF#yG0>9?v~y#jF|6
z*SxRZJ8<#?O<=#mb@70Dnl*T_o>KD1YWV+%A2|eUF<np(`kOTk9fAuPYF+H>Hgpn#
zORP|KIh~wtt}iYw9v#uv2D*B(<^Nkm`H4YdGnlZHy&VX-HS49uD-iNabz5t4vqO8v
zDMg%+%J$3#+L<Oa3Nz(2E!U;k3c5JMY<ihahzi#@`WModeeZD%pNv&xdw;9k_~Fx7
z37D#^7W<T6HuHil<Fw8_-gu?<LASu_x$TD<$}oHMJqkLf*PzFo?@4vMx=MG1={1B@
z(8L&`D0D}(_3G7|quV<Ax-VmEM$<&luHzC{BsMcHW$F{A+VDSHu36*1z%qF$L+^x|
z^7L1x-I%+NEGjE5e~d~iu3{1^McKU_6SxQP>Ibv*dweUW^SjhvQ#!{47HJneq@n~(
zu-9H=$4xdG4fU73=VnW}Men|Gquv%Glj#+k>UPOUb02TB>$JOAhBzOcflr1I;#_QR
zW%9uAPY>Ik_9`eS_}ahc-1POW+Th5g{#S=Ym+MSmIXyDE<i$Tci&xrc3Ey}bCejWk
z4bulUPq@{=SH3=e*532oCFpQz2k7rp0)rz3X9*K!78hFw>o3-yDH{lpg3=6$KG>XY
zwziKHXa(yO0>{(=Ccr}P|0Kpe{9N$GjQ3pLQ_9+BDg7?}_K^o>S4e-9(|6bhG?yW6
zfBhUV10-ZkO-+ChK0f|pUIv^G!pQ#nDWgy*%(@>9KL&J7;868t;f&cXGj+By;Ad96
zA%irH+N)#CCzmXCtc|iXQeyf^;mf{zdjs*sV_`IwbJLpQLqY{N*=TGgCb0F6&6y2z
zPg2qv=k>ZtJovg53}*9QM9^;h$N|x6jJKkP6~w}6E578YOuyn+qgp9?VQ!;Fm(yHd
zZ;w3$j=Q5L?|lXStBPEcN!bLT5YgTwlUR8$vkh>zz{2$2{LA)$|0|RW)VKoo`o%9+
zFy4vi$OAc2y~+QJskZ=%vVGq`ml6b}q*V|k73uCql$NEtC8fI&K~lOydT9`l?nV$1
zkZx95Iu@4m!1w>1b9R{7adhN;pSbh7uG?69oh3RjHHCcR-(XjC3_XO3qT#U#N%%+h
z4M60b&>NhP<N1-pC5%Go=J#Ejz0GdcwN^V)MZIzESWZpymweQ-5RMKFgq?mgdx%RZ
zOUU%I-;>Cnxvd3b1!*apg)&MR3*F|SEH6DqoOl&&lN-LtuD4A6ovriH9&)P>O8K2T
zldL+D66qe1_$~TL<okui&}>01$^)x6K7@RP`$vRES-ZcYPzSB-LM~4Qpz7JPg-!E-
zr~+Cx8BTzF<$3<kXyk&8GfP##xsvtK{@sz*`oG9l=>#PDH&;lKorH*36<3JVtE0c%
zdy>aU<%gNapH3}_+&}^CQ^Q|87FO1*w)u@qHTfeWL<8zpfwBkERX9W6S&ww0)Qey?
zBw0oQ8?CxDkgOU5o)eC=O~&h7SovhWPxfu*9p_l<=wwyqCGz(fI>wS#V6yFDoHhzd
zhnHxIe5(1)j~<?2mdDumL356C;cb639_^Y$^paT;^}HhCFU+5QISc9gIoZpC$l$5>
z=;h~9jAX}c@bWkUc6?=J<?r9WYip(ecl<s4uHw;C@y<7a<Tk=%xKCX=Wli^dB8<E|
zbp7A=KquJrF;3fdkN?B$PYq^|ct6qDg3eACVlBO?9Bq2|Wb|{N_|<UUu4~iNkeq1z
zcLAXnY|<6jgdhBeP>X1jeO!aloBe(S6grb`LrY0me$zj-V`OA}VL^vR2aWyW2pPV(
z;P-d98s*&=i1`AeXYAeyk>iSU5oM;pA8U5mriKs^PhaS0xz5PH7tP&$F*D0$q;5(^
z+ucl}{Vu~S`D9zeZF&3Jw`N+%_v*ZIGW);lSonYbp0;To*Z+@tgay6><bFJgW%>vo
zd!(Qn>GCUhqS$QNn!Dfou)ixS0Q?DZZwNIyr1P}xbxj`IW@Y@-2gZ<IGJB`jsQ95A
z2RXd6_~NN3bR1MIX`aDf*xcBe%KFR`QdzX<xt=J&s&bN7mDdS8*vv&z<QvP67G#@#
z4hTa-%%|FHJ^p?hD40G*c$lEX(7yFB{@VVa2=bfEI5tB~3QO+sBzp}$rkYm=?fM`c
z_Yqv<daAvrrw1Iwn|m6tJCC9AKR-{Kf4t)OX^ZSx)uS5a#IoQE#Kn%0xVg(5{U1H<
zs@~90n|lp22T(VhIT67u#lmrrT~pD+H{oToBF`Xfy?k#JO@g1(n3T$5Gl_c`KPOOI
zdce3bNWP6r_qVp7D!=2MqfCg+<gbN1xk0Pf7;|zHcoT7+wl>+wjm_L!ks^G+Sod&f
zc;{Ej_RPQZ`zET+uEyh(C}Wi0E_y0?KNS?d|KR))04;skNz@~Q!pZqwm7<4<6Dz1O
zMuIX(YtGBzgyg%3px{fo?OU6<qVYdZIDlZXBZg?df}%dfsA(PQ$j72FGbPY_Qad?Q
zU!o%ad{?3YRg6%-d3NQ{cI0BZ#zIPp5YjVh(rg~92DKgWP_ZBX-jHAxST%`{@;Y-R
zY+AwgS?8~Z2?WNu+2|Hu!f5lGe~>7v9HvuEG?i36{rI{%Fk2Htuy*5H4j|^Ou9`sD
zWgu+GF2-sdF_-C`?~Co9r83B@)A=(~x65jF;87^$)2Gz31TozGS}_Tt-*N@LZD<JN
z$OKWGo8~E_Kz9$^oC@Xta{;jh?=v%$vJ9eE%(35`r0iAH;^uBr+(Rple0JQTZC#VG
zzOf@IqETn1vsZE1+SbsJ^26M{X}ywI^kzUsUK8!ocl65E?RWdx6xx+PMd?T{cGvGX
zXkAE%VUY6hju!K2nS$OS>FV$I&wl0UKF&z}pzmVe>w$`5m92$hD3T=#@Lkb(<)X+q
zMh#ixwBl)pExr>x#X^uN*v^99>1kRC^~77_I?27h$U>n`_TX$(<cCRO27Da(5v?*m
z2M;G#9wf9};jWRfnDf7j6gSY#FYD1)Ogh^gKP9|>naZWp`GqR|`;ZX-k2IB^f=_t;
zxSGnv%A;;RoYcYgGKD-2)8_Zm!nwtJMu{Hyb2<I_u!Y<lJKWi^Y0-Z!E0fBfK^@ZU
zwD6LDeWu%o)mLnsz?M*go;o#+{UyQsw~{ny(rQiQwuj%ot$ul2zS2$OmG^l-U_V{Z
zxe!wsN(_0E>v<z<!sEijEpxPkyt)lj1q4tlXLrvX;hhTQQQcf+i<J2XR>z5WZuiKf
zAQVyDg{9uJ`R_<`vBSI>NA6Ph|8LU>X*`ersze-I%vv8F?TXl*nh>qNhO@*vJhnak
zeUC!+i;;ZO{GM{{o~%v69ADJPZRP5b&kcgtI!eb32P)(1X>YuH2%h3<uW8>nqNQ;@
z^g)+Au0t_|BTV95yj2zjS+VWE^mmCq)q0M2TYKLq?8mt_<YDrSQ4^g}IOA?#P~3BE
zcV9A0A~mJ$fo1mbJH2vbD91<<6|j~|KOGiz?ew}jcNhWuHqs>f4%|>DG@bPpH4}3h
zd?Sgj;#omS-VP0!PeyD)3t9O9;Y4NvYG@jRV|SJ8|MzUd0A}a>z+^+C&9BDp*Ln6Y
zMs#EQhB(i%M?<h~f&v_?Gep)s_obhnEO4Q$Q9s1&B1_UfPudS7oW?WXD$Vqaj24fh
zjT=N)LS^61+jV`X)>&B@;`|D}%=!y~)F#b`sZw&?Vur6n**=qZ^FL}=|M=h~9n_F$
zJo%?USZ7>;HqUT&w9fdHON%Z`R<TH%XHv;?Zej>3;|YCfW=1_Yqg0LGb*%l4(iQ<r
zoZs!S$qoVtRZzUsXP_02MS;X=7c?pFK8M~5b2siZ|LO8z!C>zU0jj+))Bi#e-T&3@
zHCdA42243TP5>ToD1+WkrnW?vfe)fZ+@53I6q*+=vbKQsOJ3^Jo1F#3E!`Sye`Vzr
zzGa_-_o8iULtl1J=O_GTJbpNtEnNxOr+AMfh5ljMyp$Yt!jG`iFnCmi5p>_uCI+(#
zW{MRz7;A0LjrfMVMDBoGY&F0KU~Ku}6;&P%9{GmGXg`!aTt$RML`051-yAT90vH_l
zm_)GmlCtUx`S}RfKTu$o37FnEb#$h-HZv;I`*Z!(Vc<u%LRMQ7lHz+~<K=+Yt$UU}
z_<z&%KK^=LmJFw~ZflXtb0!Ri+NeNy=^K7{G@8)R>r_C5A6Pr;y8-G7fHV!u1{`{E
zDJk0EN<5k!VHuPVsnRc6QcN&@o3Ba|s5HdCvI|hE>&cm>csS*(omMdwm$wl$z~KLO
zxsGE8H`%mBU#YNOZ>snOrxJbK`1p7<e9I510zyKU6TchtvJX+Oq(XjErJ+Q<dc^tT
zaY@~PFN$)xl7Vh3_eLXg-ha)q|J9Co_JtvD50453Y@=-We);B!YKtnR{`i2{@xC<L
z63nNi=_NDqopYr$@pfn!Lb|u;!_#>YSkK;)s8}%GXTn-ajm0<1(YH~beMVtQ&zD#l
zliqL2&COW%yIzK#XOv-eOlAA}7%*1=Sh-{o?b+9LM-N7SR+>+~Cs|)@XBUyD^>G7$
zkdJ0a7UJ4MDM2{S_}DCIPJSNI1bL&bkO4XaXF%iN5#C*7gz>*ZdycIRJiV|*T8KIG
z#<1dqFs(*l&k>&gH97S4c)Q2Vj<=(;Gf+|}FE0n8ZM_cY?ZXP=>6w|7R?TS2(o-&O
zf*6l$T?SLXRKwQf<E4sgFZxgRd+SIae++Xb;#?MDcd#-cT9CG8huM}b=Yu56Vi`2h
zfa-*wu{rYi*mtSrW~-zEw`bRJqzy5@zc6Q$@G4ZU=HcTn&wO)CQ5XfqRNrK|gaWtv
zmGOTCSQ#l$W`5kae>A@fddK^PKkp~27GmQIYbWPE_jT~VS(?6x_W&$GS4YRgrp4<$
z@bPTH#FA3R7)xpbC>I}KZ=g`T4et|Ayv+L=&rI)|sM4hwS_sk7;c(GYA&jQlvL;E)
zAn+4k^A#RM82MA_uBy)OmKlFYitT4lD}+~VBLF)gDJjWk(f*!7Fgksa<TLD=g3*)W
z)YNC^S6=A1M_MKRzcOlDFG#5D?d%j!tw}2|T~dU^g#yL(&yRa9ra^P6tQHP`4tm}I
zZNYhStD>}T(5f9R(=W>>_NqEyY1ejS+RM+;kx;@?ex~CyYI{!S(@?TsGh9_3tmWL)
zFNLkABzaIzWuEqYc0_%&>^nb2vSR)Qdg@fk`F@e>$KsNSR+&1`wQKmZ^`h>nLO&k_
zJ>wVUwXY&?aceXeKDX#}@P7{De-+Rxis7q@o6Cy5#T%cd`EpmUpAh`)H^=K210X*F
zno*yO{(xrowQsHV{M=m877(nW|MSXR@ICP-LOX#R@h;qb^<nR#Z5}87kF${@sJKiT
z+K-fMG#*E!G!OW=LgI^RQy3qqkhDIqO={saEm5%Ln<%V&r6%v^!AO6@1gAUPF6`Ui
z+e5C3B3CDDsk&dyv3;S2MXEhawsDc5`Ge==iKzfivGV7(yMS0p<G<kK>J1cnJ=AtJ
zG%+!8a^ix8;_qZ9kdc{@p-?yupqoGotmXThkGpW69rrKw0zsrZlc39tKh~<AlT(~(
z<1DToSJaAx26m_gA2p4IM@(;kIaxe+sNXazb9WU-msoPlZ@x%Ka7*lRCHwoc9sL^6
zaSQLs;!7f11@QRE?UNj)7AHHNw0ZC+<?{V^&A^#}ba2D&tpqhkHjFJaWaam<PR4#-
z%CF4TjcHOi9;MLvPIS{<7+mqcckt{@2DS;{*q;Rhe-Bjn;+<Ln5f)g<Q>(%PxwSs|
zuit)VFwRSlsz+SpGVR&Iw7)83d69?m!>04BI&<NsTA|;EHdsdQog<!<)+!z)ACXRg
zc6kUShEpcOo-JJ?Ae*-1p$4S2Ra8(!#P|H)au#2B`L;gL_W=&yKmLJO%+s-Xd-W2)
zF}w=naijvuA>d=bxIi#QKeNp>Z&8u@aQ*(r{KrYBb_tK+@24AY|E2BZ(VaIIP5!@v
zGOLT5o125f7gd4bdQpB`U^q@q1`8C7a6$(L{C}_Inai)>Kh!ucy6^eM;hDZ>XkKzK
zwd96vD%&^qV(x($c}qbH$M`($7b(wMo)y8Hhg|3}%~`Lfx%m4vEI?peBk6-!chrJT
zWRZDC9N_t#ckz;@*%Yq8pP~6bBjQ=qwNW!bj*DK8XSsih{{^<>_66-~>BgXJNk%hr
z7&QLUKi=3Vdu26wDR9{&4qX(^5!{`o75M*|n6`d!u)zm-*kqY`!aP5BF9jysxb12R
ziJ@u2dpW7U<5-5X*<RqEN=g0HMtt0bo0sz8vG0w=j5R#8U-j->{dF9|#RQZXQlKhb
zZ@v?XdTB<BwUXZ(BY-^0OrHd5JU|51_mb!g{F2*;w@`g0DpX{6@|MOIWYSq}K8I@q
ztVo+FmqlNME!J{V8ns1KO5=`N0v8i=DA9wJ7Q>&;J7O^$XZp7>dYktD)ugt8qFPBw
z324@r?-v(Ck`L@Sw?ue&O<XFro^G=sT#ny8E};KLp9u}^92S;u88?@CYK<)y_)qTx
z!K4=7;MzfL1A9EeRDDdg)?YDwZRznNs^KGW@!QT<!sqSWoSZlxpxt`P9%BbjPpgQF
z?t_vo^BR=bS6A>+bKceO01*lEEGj>%!tXR%_E~WaqRTVM({m**oS}t&{?Ky%;2zuO
z*}Wz|&z~dkwh!5NR$WB;?&1CRk+HC)9)npxh&-y-DO1GVeEK3?0NVJZuvRW%z^AUF
zZ#u{dE@!v1E;heJTaxkBPFc9WaCVJ%+BT3*^(~g#E3-v5UV4u-x3Rh27oiT!A(f<U
zqylv(&?%}<KkIg#1zP-WM0`V6K)eg2KYEkvY)Qc#Ryd@IRYev2$?Dtjdb-3a;s8Fe
z1L_;V`@gcIpZk5C!0R*UxyLEqjEjBDMf{Uzs$}W)qi4h3o}QPB2OW3k{wDJ7*qjTx
z{LyaKuMmyr%^HP+kS|N0xcU6?-$vYQn*~;!LLpQE%LJl#k7ED1SVq~}r`q#kk$%re
z(f7~uX4nWzchd?Pt~Xid^P1GZ$}Yz{a;mqUPbNxJbDNgzkg_RDCP}qJs6>E7M;$sk
zG6L#o(rZootvJ-)jGn+tdxGZjQb&;Jys#n^C3H&`?|$La!b~m{!}~r4`SHGoJ%C5)
z3uJlozjTN!?&SLC8CSh0<Mc#<bT!SirwWyYM))}HfG)xLW(nGD68rT$?CvrnDWBGn
zwE1{ow#Q(^n0blUmoSuoWT2W^0x6gSW1@@c__V&BiegGOq?Q&REU|%bA)~hcTh1YV
zp9DLUQx#1s|7{&ladkY$0HV>=IgXy8;jP51O%NHr7kW`FdMsJBvoWjdd(w)V4--Bv
zuEY}VHHuag#ft5UbUsew?{wkm(rZfco;uc%?4|rAfuXd?%c)%Um*_FD>Vk$O(1D>m
zohXcNy+I<nTF-ptVQ=0qhEwHLr$<KV#pqRk%5)7e9Tsx(+NZEs0Y?_Z1H9i^?&8g8
z*j)nHCdiZz{uh1UCYYt_QN#d5`FYR|OPgNtmc8#$T4VW5;U_Ks&}8x#RKlH*2x|Hm
z7$Yx_WL1xH+Lvq-9+gOw;xJ}+B?|ZCe|hEGdQ+U}*!Z#4{wT!MDjdhYA?dUsr7H83
zLgSTFjR!;atSlkJs;_LXC6z6bY`g3ZSGH1b>A8GxWJyi3VqtsgxZ-X%?o`_KpYZ(;
zPbOk$8CrH-PCWB3SAfVOtA6wOS<=25ZP9=g8CxmmqY<Cq>1wrAuozoIdvyO7jiJwH
z1;>ZsM~5x1Za1(^>c4B{1|m1`LK8x^?gz`_sJucJ|0dkFH;;EU417*RdD~ZH6~@J;
zjM~UKi(%rKR)>%@CdiQ0m;2b*4<ZMBc%<SvI8z?Pi9LIRYHho2OV(|Pujyay4?#03
z7&NuN9~1LlnRTg`7DAr>o9vy7WYm(`bE>H~_~nKSFi+qF0EP`Ox@60@O^Jy>Wt<Br
z3me!216|7K0^ZWP<`)xDUKs5+g^vTeho@&18sKUoO1O*BYf;r1)gGu4Jutqn4(-rX
zliXG%g%p`oJt)#r^q#)HGkShG{~gdhP}gI8arseynpnvb==bUnFq!QlDb=7ZYCYGd
zr>+JsvHS(N$t-%!$%1wshAv?}i<rhI5JUeFAJ)%_g8nuA$Xi51@7-(35PX#6X}(%&
za|<Rk^nZvHkBOA~Koj|k6h5BSLwt$z0iybu)1LKp?^eGXg9%_}Z+S&WpQhvs$B&Mj
zpgtFupM%||V{r3OCp@+R#ky8~=T~sk?5qOme9XKej8;uW`}-Jy=fPAC)KXqmCDrS&
zG#sYHq$LA|y6BC<ovz&reePoOtcw56CMyl0375@9TM@S1rVsQV42GNxdWqDWa;dMc
z-xh(>7EV--Zx*>ST+EeOYln3{{*#BD+Fn8QDOgE)$ckC|hrUWpC>vz|+PLZi;<_OE
zp=_5_@JF0yl*K3xq3m6RAJ#5E8xtv3hEz@GN7T*s!3IUia{^JGtTcu;dtW%#&$fKu
z`Tctk_eDCU?%r+4AS$|OSKlO<G9&qgzizV5*18NM8?ye-?n8-Y8@V<LT5@vbkeyNA
z;M!-CBxbSgwI-XrsjlvTFckLQwe&@M-v4|o>s>vm$FBxB6fZA;7@Ts+fbl3C0nx3a
zqob_)G2}bsoZ5O$z3zeN_K!5)(M7x37SS@){Fcpn+>V*%=n%QEpB7IVL|#6Er6>xZ
zOG?px;%b8b>pzp(ZlY?X_|!gkX-j-|X7PZlZaalPc9T<Ugj;TC%&9KKUQ)O|F&Q2?
z?}B~RNgBb0#uxl=XlMwi<X!3Y@A~AQ`9VyfinDP0DM-Qidro>+94L41)fg|2^NaT}
zTaHE2_myeLe&t=wvms#9T<J0#VPVzu%Pz+WW0R*3u&Lem5v}&A8x>x{cV$2-y}KKD
zV=J|W*l%lVZuUN#mpS&aV6juTUu-SgzRbG0$f5$_o`uQP&FDf)kEXAg+wx6$?HO`@
zq^w+TVlRAlx5^?g@aG3;C=tN{2MUoi%_9OPEZWSN*D*AKODOm>5~zXkq%^_7!5a@Z
zn6OdeaqbhS$VjN5Qm=?sHSO-PxJ|W;oVd+;Rh;<o&97(H^*K4rW}fbh#%-q?WE=^)
zM3r13X00oFhI`4VRTx_sVvDWRl;ZP^9J9U`038jLk!JE(y6T`Wln!f0Ba@8HnxRy1
zO&B+YtEp@XGxy6`bdn+0P{*C2^!mft?|L!jEF3t{s^{Y^jxJ7MZ`sHIdsK-kqvZaP
zKxjCDP1#9m#)+%)hO`P+P{5O2>~*iC?@Yhz&q9FgM?WBzJjNsCjF9BSG>jOiE@i}a
zFqtfZ=}l389w0YBFeQ*(AC~U^;NYX9fnsP8GJdUQ{2{4ss?e+Ql^Rt{;oH{?BaD8s
zM-s1-(qn1mV%NIfqKJU6h6Vs)SYBS<yf!P1<l*ne7a!CQue6yJJr5H7+qjpYp??t)
z%}E&@?L0G3y<}0};bn_n1%q+PBOXoFy@GJ}Tz-8Z2RV?-QgV5Yk2a|NR()gDx`3bZ
zA5HmAa7~I34ILK5=4V+l9+AM<_>UY#dThp}YMaWowzjG&6vKI|y|Ubk@6}ii3#;EM
z0*!SWzcN-cKY}I;b=g!@Zzr6-ee(G9?ZyE>y8*_svw&@`U<HD~`ovear+hnP?y)?_
z|F8gE)YBdFxw+eE<kTNZdvGa5gJs4?$A<3-7<6D5$r2i|;7CcKWIuZTO!7r{6rD)e
z*0uy1&EQcp^AJD<(m$h@i=`d-^aa%$d>yf8jk2<^jO<mcFl*TV)WLe0ZQBctW*0aC
z_IiG1CRLuE>PlIoTsLJQIa5RvqV{j8nyWFXF>!M*@&JiM%H9OV+Aqmb@vZz+wy|-W
zboB}FPEsOX`!azFg(?r%7rL}@R$089W~&!Z{KME}i22iUrbcI~d}nvJtmMVr-KbVI
zadYDxJ^JbnM7eEvtSyXYox_vEU(eR*O=(&85-~J<`!)NaoJ+Yn?~8<WUW1Q|^X?2c
z)aTz)ht0$&Lf+=YJwVT8@{~3Mrr2wOv*v-^^7Vy(fEm`(h1KtFdQZU6aY)+}yJIyA
z7@uGmmcnP*;~^N*)O6eOY<VFAWbYE`I4ic_G@oVt^hyAyg*J<jshvSCR)`AV9T?6m
za_Y9o7bG%MH=q`}r<K2Sy8$iHo^0tzsLkVu{=>~$M`>I>U7?s7YpCFqEa>DveQ=NJ
z3TvRRou7ebPC>jNJesdjK)vNNqYmL$*KrxuqNom%-UKsOYtu!MViaOFHF+<YE&Kh4
zz(t;&p0+MLitJk*v;1AR>)60$-|TQx`t+-P3vneicS|&`pw2{ZuMF1m-dN9NlimKq
zvJBlOS6iUf4L<1;hO)ilnely(iU&|q%Pxhi9YLokGV<Zlzmer)Piter5|c-}97N<7
zfge*ex!`}$#I;b~8t0g7b4CsQ6{y1IE6A}8v()=)U$%>&6tgl;x?Kz^RqTJ@YgBg1
zMFqV>{Qkjo_ScN%bPPua2Lh9;5R88y1Lw@T7`Alg${Nj@+n8K!RrS2VT~1FMg>(AM
zTFP`EweoF;hZ~aH7`}YuT5TRK^hw&;BxZoaYqdA>;M^FX(>)@DM*9#5#Nxly5l=%e
zy(uU(;i$adU1G!GtydK~SkRyjLtsPf?blm)d)1)a6p_hVP>Y(B*Z_8Z;ih}#>0jJ8
z)%(A|FZTBARERu~mON=?>Kxm;q?`rc<Ey{91Src6(I!f@Kd8!+Ch04We#4pNV)eke
z+t>73eeYA(z-4Z0xw^Y~x8AL_pk0I!EydBwWk!?bhKjW+qIu9UViB2KnWGB%S2Nqs
zHxip1FND9&guh=zxWxkwvg~s9D$66T-Balg`kJpX2w)18g<OM(iEftehjJM0?m`Q5
za}TJU_3C|<+Ahq4X&iy1!l~S&5MJVtJO-@L1Sk9j0scmXnlrrtJnC+;=lt}VTy!px
zBHaEl?Y%^r3o}p4+~%WYa>p!>dmq~i@$K(?D75O@w3(2u30?ogm8QkJUq)y_6zbe=
zWawjd#igGACBRl@lJrS=d@JMN3B#lpl?n3@hf9vq?d#z&VVr|6c$fBDAf~oIYrcRz
z*%Tbsn(yJ*n;bvehSoy{KWZ3|-(XC)9r-GSg?5jEIFM0_KswwJRp}b_7io|CwYoOK
zroO?x*Rdgj9rh}L6Ee6yuJPHJr`5~3wT80{wzU~2Br1B_p4<E_9a)e{6ya)@537wZ
zMCEXPlxgsE>jR&6W0!8kmlRulvtNm>K*;onI1aaAe$Z30GY=;9Gi*EXFl3v@1_w%0
zHn&>t!rqG?c;;(wzn`C^e~B-;f4fa`{{L-Ll1l?ewf}-YkrLdUWH1nhpUa31pJQ-K
z9XJ}}iiEwP#N^N<kAg5(*Fl*n0#_WUWh%_|r{Ww>2a%T6*4te|CZKc~otSFhy5C}T
zc*34k4>-PFXL}#<_b6GKL{7yMQsv|xYf05pIF@14h*d3nCqnlHsRG1C_|46wUJLDE
zI*s%e%q~r|ha}Wz{G%a(?ma>Im4rJv<MN~5v#>qkrA7ohuie~h9nt^4GrIV*u(06e
zv6{iF#C`fA0x9>#Vm&f7-JfysC*EIZVzb!fyB`VhV#Dd=<6#_zk?<t|X$%e}>+f!H
z5TS?!70t{p&Xu4+UKWe8dRxS#j(y98B}>8Qb^Wq=k9UG^b9SGY>XQ9IrGThIp*#Eg
zqVN8Gf%8MUM`naZou+u%gP+Y5^GBh@NpJX)%$YCX>CwKMo1uC%2A(#gYq_UKdYp^K
zxa?`9jE;`ZqD+tY-ObofKxPB)Aw)IOprP+!CXzKe_MW7+2J4;-(^<T9C84_z<t?Hk
zPGo$IUz0(VL_HV6@r*1;b<Db#`du&!=f5~zy9XXXWokXi02wp-H@&Ha*Zb&dTi!U_
z*Jt>$1T-mb-(osXx<R|NvE1aOBm^F>H?Uf1=#p#s61#SnMSptHecvU2z|_&p{$OK3
zh(xe!nXNapF<Ok27Ot5hQvZkB(S&pH&!5?ag^?p~A<7Cr=J!>?x5q_<=0CH}`}px=
zzb&Qf;@hD!AUmfi^Sqah&1fc>DKB%Y`7s`Hs`ROE^@rE0?Cyu=9e8dknZGFkMFa21
zMWmzd^aSwFKvYlk3cYsBQcCKH)j;p(3J)$Qx37oS{sBEulW}ZN;~;&wb!jsZ9!hA)
z2pcTr<WK$bL`x_3QUd^I*p}}+Jkt<UBd6)()q`Zf1IE%5tlFi;`BF1wkZSWEpG3!M
zJLdM757fW9yRdk_&aOS{Yn;kqFncmJut#TpH)m8&pSE0|&JL}sLd$BwFq9_OU4Ywo
zk9%5pkHFT}wuL?mVRij!g*M2}Iz2WF693x0=82v8yfxxh6&L>Nq@BOMwl*JTpPAn6
z{n-10RM%G2?0vYgg>Y2)wg9xut8CVD;Y|fkXW$>J{$dR&iPEJCn}@QwktG@xxSzVt
zd;;q2<_W*F?(YLh>huH*+Hc0I6AnCNHlWOIXKyb$&&hhb^0Cp{cTQx#qI?^W+$UXp
zJi=>Tfxok`fCrff5$x{Ye$ep05Y32|ot~X(lq95R#YBaiyyh~%MU{`>8s_6HnL1_Y
zTK;e?=gv~D-!fCTYvJD{`>B)vk61$f$HDC>9(~`7^%DlCj7A@<p(ve!;8$wUJTx~(
zN9@4fK27L^bw$f5ic*r<G@$+XIy%OhX)T^XlEXU;KdcWXsL^KKE_GJuokdybyQ>c&
zH#<7p1y~?b5A{i?gD0$9wkON%4;_GaBQn_l%y_s5kjH?Yl+_46_TU}h2`z$scA07f
zU`M#7eyeXUXt|pxnt<s`G!!;AHsA&tlppC>BU<r9zEu$!hoM@=_q~IoTFZz_<Kp2-
zoAN!ev#}}NK3Y5@2T=g{7)NXuI2UV!xD^~-@&Ar)$vy%EA2mVi{=82UlEUb!+uY$#
z+5x5qthem(4j_F9WYpQdq#0=#v;0<7b+C|eR5Af8-^LGQFMz>13}a#^`bNo|0EF@S
z`g+~5VGpfuIH;qYA1sUPL4?#d#otN$NKanmcwf936HQbg_2#;qGXtunDI%?>S%VX&
zIsN0&Y5I@j(*<WCO2D%?LM!JbH&I1|+^*h5cRmCx<6$Z2ovk8(ZaBH$52U`Non_r9
zZd94@MaakF#d~*Qo3nthu%_<9cPAfbFrWg20oBY&LuQL-3y4i;3W@JRHt<Wv(IY?$
zE9~4*l1enAa_mLaF9-2vC7JP$Bx<Z|8S#EL#78TNXv-W`drw!6JE>Kp5+&Qv;w0ol
z{2j#jyaw8L_G*BE=I-wFNdX{GovoL<I~h0Miv_O-UD|^ZShll?W*6Q{OUP>kAn{*i
zQ~oPhPZv|^y2^ku0IdyuA`F5Iq2yU38<MA8>gKTybTQL{kyD`2RndGnXvyW-YLU<!
z3X*#f0V++ujE$0H7h|kT)v5>yc#h`1B&P=|UR0)hgmH`f{Jz9TJ;q-|L~r-<FoXH_
znFx!vE-o&XmyIG0jt$4$p6cp$$3@(ui_X$|&$|Y3-_Nr5H((~YdoJ?nmsh5*lk<lw
zw`*JZQXFhbY$8~6GTlty*8alNF7X)YntLFimC?dkbJ_tHIcqq36|Cr$+*b17lO(&x
z-yrIzf_UzdsZPzIJ?{+?cToIayXfhSjz#WMX4u*(zVp9}3ieHJPuL-<@<i)C09hq7
z4`q6x3kwMe-6EnjwO_obp>~)q*B<bBGTd1C<c~r~RlKMOIiuL<^%E8r7DYS~$(kMm
z!Ih>74FAeX47_x5=j&Kc$5!QSK|Mo0CtWt1ks$mg{7z>9pT=~-UUx@F5I>Hc`AoU^
zEOG)#dnhzgCU<^*KH9Rx^>AQjVWG8!_v(gHH{I3a6+ip>?~<{UQO7899L|^Q5GWlD
zH@`oa^|Sft?$OtRn%Pj0k-Q7%he>T$)@`TOe*ZB2*fJFRRu8hyANj3R+?=!_d6B(~
z=bj2~$UY$NBYNf}dX`Y(ZPuW>08X*2-?8jXhv+%xds}KbeP);^IF-J>do2cw#%1%s
zOV7{y=s#RY8d?W8?LzS6=Z@we#F<Fv8}_Dv{S)JVA?egQzq%ck^Pj^$ulQi^h(^@e
zq6odKulT9I?YgNT_%*hv+&ZZx=K%ymR&QE0;~^<pO));bmp9u}+)qg;t@{YjmpJwD
zJ2a&9QVGBl#<El9+z1(AvD4RW^Yt+?S-ogY1Y?cTn;ceq0c7--`bwH5=dVD?4sr2e
z^pR|W_PDny(Op*zo|CudE7lv0RmT5je(`!<^t$lo__8g`l8p?EF}Ufqzq<SJ-h69t
znGb%JKb#NOUv;uxbuL~A`pH7;>+0<0zB|B2GW?LEHy2<v*B6nyi^#v8vfyki_mF{1
z5uhW1m?y8c#)Pk8B8LU1v6Nm2K9JZf0RRQv8RM)>&<|z~G55+?Ab#Ot%NKG_6RPrD
zhevUOiz9;GJh0M^)As`0JQkAhlkA<ZjJ>M|<7d7{tWO~SxN#6)#ko|SY40Un41WHT
zkcy@H=jSG>N=scJS)LC-u8ea5Y(Ah`fy~s${fs#`Hceb`H(6fhQLTQZqvR^1Xe+PI
zS!3IdZ@nfnfFGn4Xid$6uo+n7Z*OjBX29`USkQN7Ko6)>rj8t9)Z-fD?^ll4_f_se
zt32&F*SL#uyr(?bk!oH*`|dI<>pZOObP73h=CgQ4EbZXyi?m1nXuAN5nuXl3M{X=4
zy!`eTk+Xh?<Ab&{ueP&yq9^ZQm#jDIZC9IF$oD40v-WM*&qWWP-yr;M08@<jW`p(S
zkkwC>73`BmXg{z30@s8DoUBQ2A+q*L(sWj=!f|Xf9I%`KrXfe=@0)_-+2P<Sz8&A0
zu#$dumM77g(BK&H^7%Mw=ZAnNS_aayQv$p}6Uf?m;E~JmqSz^)JQ;>NLG{jp7aK$X
z!gCqulY=z9Ud_C1MDc6D=KSJtAeMhTF)G_*nQ0jYLI?`Pd8QG%{TLUcIWm?z;BuO|
z*WKHjnI;N*wS?uje6K2szeH4sp!UCKYRwLgH#9?(%|O>$>f7E|H;ZYAG6um1&x4fl
zabT=LU)%Sb%H@!Kc5xB&-{gBLg@G*v(b13X2``*%dJ~3@`l!5chi1LH)bbK<{l((4
zegx!Z1~}%ENgYsOXlOPA;W*WGuHWyo>rv#+sPFALy#ST5!Xd4jX;Fj)doQc+LAdA<
zr)W*<`ed1o0TSGJxK}H@?JDW!unjqNbIIwqG3q^6K`j@1rdg&Al+4Z+Dsn46pSCiP
zzE0mPQI@5Ycy6kqIfQPPL<u2y7{2SlmpKY|(ewMqR#sslY&NfL9TCRPk#h2@9_CuT
zl}NqK(DAuQY9jQHoPw|}^vz;~Os)$;fS>^+2tmA2<n-{4pF5C7_rh(LVi<MsV_rM&
zqe8AHxB;vBX@Lt5RnS$7979W`q`z@%5UT%d%v;Kiam??CAvRV{N-)!MNFaA}_+Z}a
z<3m}0SW?mo8sV#MI(rVzgf>(4IjetHfPa{B*(UU_N9&v<W_p3I649L6){wjzgxQ;X
z;C^L$RTQW66NK!b18w_Nu<vCRT5Z?;2_qMg$o1^uNeEdRR~3(Wb4$y$T$baVN2FTo
z!TM*gpG9PFwL<E5YT;M+J{5!%quv{w+mC^T^SiFNA#T4r)0;sCUc0qz=cG3)6<325
zSGUJr6?lti3B9Rp@%3Td#C3Neq(9+V`SyY@VmH@oJYukFp8G>hk8UE)VB|A&+tODE
zO3OE=T2l7u+NQhJ&%X+d;!vhj4xgTqP(4`!_mi1q0dd0g@KYBE89*=BMROOS58ZCu
zgX(CR>)sEPU=j#)NFgA2Z7S=LNp6x}lM$(8HSgf<J;xQf>Mf=t70nCy<wOF_?r<VN
zs=C;a+y{YELYf7`8T>(-!+pz_LyAfITgl-AHI|p{6xOltd#oTK_pwTCWg5DxbG<Pl
zYM4z{a_0FnTJyiim4!m2lumlX*?Sdp@8=v5DYR`VC35adib{BInlVu&jhC=HG#9fp
zIr*jwd-G95s$wEYaR}x?7Y+b%+WDW^KXnPc-c@k=rrS|G6yZwB{4}hsMYIvL|DC4e
z{tHKB;kT<lx-LqWRep(RSwytd*_PGb8C#2}n*gfw0E3GJgNs3p*29Ag<5+LEe+vNW
zXxN}zKJ^P_N0*A+1iT+e{T9x2fKc?!zrB>WSe4Io`D8wMG4J|Rhi#cUg=z2~iV@lR
zTQJD0LtD;z`61i3@WnMI+ZHYWROn5f&@xQ+$1U~E@5Wc5Nay8n>qilzw9qrB0kxtZ
zKNJX5CKN5_743yR_I3>U>%5L@eO6QC<>JPJYR3NVq~ZP3O4Ms|Re&l{rq`!p?5auD
ze<qCh42@9}nPf{n`i>zBd4p=-FIeWZmQj}Xt*5b`D(K-X<UX~~c#6EVB-WSifQOFH
zv}smL%$jJh%{}Qoa!%)kuT*hqSrM%j+n0_d-iKceH-I$(zz^UfGBPLu8Cu8X;nDz4
zgg4utM%UdLr~RSiTl+EKbY_fsesfNB^W0zbv=4ckPp?M;SMG<t1d^a69Ry36#%9|k
z&<>A)C(~y6QU?pV?Flt|nfE6Ou~)tk@GCrN1o$+vETkxr{}~c60x&T#*_Hh$H3VLU
zObbwQMqoLo$j(xb;-fG^{x(Xxa+%JW89+PFv-1u2ufg1*i@#+6p?KIG15N1S9liXS
ztoqHRGSV}5K{-j9(V}WI_XqTzIM<5Y%kymEY$>h`MQL>ZQ4r&LdU^^x!Ii{H<m^Q-
zYip0lS=MU%ycHb)>u+7=w6CkHYe||Iowsy9l*ZT+qnv(9_8Y#wQZ<^`M+S!9xLn%X
zhBa=ibY$Nrrxu)tA24Qb+oDnj|NZz9gFQGw073|rq*whXXFC{P>9W2FWV-yn0kvw#
zP2k|s)n;25jVeGAob@JGGrx=Lyj@2RmF9L7B;L(Gyc-ZFO+k<Yq8AKGi@v_TQ5El8
z+9=C_Sk*x*-uWz`=Ner8N@8hCS1cSou!&oHcRPY}TOE#ew0C|m950S(foah`X3D|z
z`Rn`CP3K1KGC%;?fY)07F8HSA|IMJMD6_O0za1-4?2XkE*~dQx|C;IgRln0qTaGH(
zzC1qu27^^IXO-{WqET||N3ulnr@cwMK7N#H_t@1EeE#z7GxSHoU*eXyKf?nwa0+N%
zD@WEXk(tyVqKAZcR%M>xQHcy!%R{F$NEX7y(De-x-0i15X6uq{7chf5#>?7dbH{GO
z6yS<)^fG$OI_iu}%AgY$-V1A-wpxNE3NkHb)?zeTpE{2!t76H~pe@bSM*R;fG({^i
zo}z|sO&!6dKI#UC=Otnp2j%GYK*aM*-#N_+InBKBwwTr>zHk+x8gQdD_uW6fb8vF4
zM=eDtNWgLW<ahpQw(k1iR#y^HMdfu_e!{$drl+J?AsP%|i~CO#k8Tz27q6TA&c0+g
z#(E3%kQI(I#TB2=YpraP*wI+2WX@&T+dSbs0wDv)OTG4+AnocuOAGbonBy?|Kgk$t
zev*fhv57Hye!EzODCNZ%+vv3ZmDKy~>hP=03GNKP1miocr^?IDy1e!+YRKan<oETa
zxE&}JN-}GI6xmGZq>z{r<yA@;XVakkuECGn6cGGjDQ247P|@QcCzX>7?W$foIL>hW
zMwM28(u({=$HXZbx3JwP!pEn1lj`YBG&VUo2_lX4)71-ayNKesqU@E!S<JYvcu&xb
zc>Fs}>7BIV|5Swb3}lNhpkj<StwSE%a~f@_)e~`^e<2q3yB*^N#cJ}U5Xq3YAt!~W
zzJ>s!q1;F4Nik>PlEKr~CdH<Oo^04igG-O^oiUX=WOt`VyRzXy<WODafS?fBj(64G
zc5`-vO!1m(I$v<J0GJs_Y3=*pwy{F2+x)vxheIrO+w1Emt=1neo58A#SaNA+1jqKy
zxHu4(R{7{MO1~hjOA-4Mi!;M?Kb!tJwYc*Wj<{NfYN?F(YWFa|ZO!~C0$RjFM*PYN
z;X#)~;dQp4aXtY9!?*6mj5R4trP&b|sf;G$8qpl;>)_aPLs(*n^Fzg?f_qg-ro&9d
zi^dkdR*kG#dH1J!casxiL}NdI%l0w);1fhC^=)uhlobh$8`_IxErQos>zGqDXR`R9
zykD!w`>P3n+6B5;Ny26AGn@>#*ikDd&9z8$pIQfve4&<N<78+5!-rd&8fYXSHkG@B
zg1#%%xEuMfew(tzB`TmYveh6^T8<y@g}UP_7<2B6LKIzIS6>pL>XXN3L}9wD?ERm*
zK%fDLqag2X$?*>b<t1QE>v?gW-K7+?7m3a8{H|4+S3mKtf9@mq_K^*uXK>^Za9!I*
zib^_oFZD@(iJJJVPNkV&ePs1s*6=&gU~Ov#x%lFxj^B1ehFh%nn~(SqT~`Mkw;cN<
z;W#=rv9Vsy^(Gw3l&8ix2h34i&skF^I?xBL>@W?hhJ7A<5rU%@-CMECre#dE)JSCf
zTKE<3DO@cf`9TRa1fPS#xlzc2&20~PJ7i^#(9h!y&B~ai>F<x8Xpb2=f+1ok_C}s$
zAMuOd;i;GJkeO_CayUju2ysI`2MiUJ4quXDnUOIko|qOEjTWNSNGt6QkVd+s@9I*O
z)$i&evjO(*!=a)6Vct^T#1MZrNd4i3jf_Kwz_WlUr(mU8aejLqZ?|mwus^8MB={15
zL$5oz%UNS2bC00%BX#{}QUd+ovL}L5Ja!As{7-QER&#-xK5yhyJ|=z;j8~Zl>Ku<Z
zOz$rQ@|2vPaqc-!lqM&b?s>UhrHHrI)V!NI0sOgz<cfBgQZ#~#D3X(s@E$OsB+Iwz
zza1HnUB<xq2WU#H*ZFP7f^A2Fx3$ZgSwDom5^q-9@${%KNqZ0`USqjeLG(OuR`-`~
zk+zGNew(0%?zx#i#Co%MgYX+Y`V9=ZmEI`L3rJ)6HlkJUUf=ral|046ZzIMgv&};s
zAShjb;vXQLG*lTiEn!nX(kAo|zr9`HuY?yb#{FzpTIIo)xB;(+s^;~QoWlDX6CZ!*
zHT7AnK-^Bu@B~xQsMjH4+LFq|fdv27UF{}bo5m+I#yX<^cH~*w)p8>|?<CPp3CJH-
z@n~p$*d9|8&t5a-N)YWtK{g0^I8$Fe*D3<$+<`XJ;W+>WkeMh34IQ`2ECo!b_N{_Z
zh|EKvepdL2+afeF*6)h5H0fy(12y)r47y6cEJlDKG?y1wrHdw=@HGWad!!jp+AEUq
z0aHQ=vIqC(<LjzhB0g(1X}+?G6JNfr+%`=(@(-2CRVj+rzCY)-u|hQb1g-u@Nl-Hk
zR#sNVyXbus>G4!1&4J5fP6BUfVr69K2_~jTW+92&f15&8Ov=<=p<dE<1@e)btE`(N
zkQ91>tKjDX(s&;{#1&jL3+^%H0=BE|h!ojr;C@-Ycv-fH`VXX-K2%-P^aE~TE@$6E
zamB{DcB@C_i<vt!#VQH%&`l&KE~8}B9&om);y>UQ|B00Yp*~Fc45QOzmn??CKAJv)
z7>?Wv64y%XO?KN$#~u6;!9f53zuRGUyVa~ADHI;=XEtnPWF`R3K$^?N?f<p9gX@{(
z;4{67mUkoxEH8WR=P7?=OLzszjS?ddDJiJKAQh^PA4i<DEP~8=zQ<ccR5-cJe!4+~
z;@1Z+FT~bFiITm4)(>-8JeC)n@6C*snAele2>+<$zyKs$(943nP_YDSJNF)=A*ztd
zGdg0bf%_I8$UoL$#z57DX=v1HT`ip+4iD!feLQk=a1+V;gkOL+Th&nA3ge)Nl*-dP
zeG*Q>jYmojeY53Z_GW&%6b3WKg&4NyI)bwCU;<E#5%D%@#m<f7^My^L;A1|gYrGB3
z-TwiK3fu#^pm(q>d?aOBrVzIVx_Q87wA!-D``>~xt`gb~b=ppJvJi7{-|H#AYoD~?
z3Xp{WyM@zs9^Q72)AkQX3G<wH!F?6{?G%dlLAb#cnIfND>sw80P*w^XNm|yGVoHh`
zjYo&Po;Wp?7929oX$i&uV#&4!fkHorbSrCg>WKZG^)|GLsU9vjSfq@U8BT{^G`jSF
zP7Sf-jyG#JVAO|4g_8F=?rBi)Z#`RRa<k`1IVb;w@%RV%B%%l-ApQ_*)DUXlj}@(x
zLHY*rlHfI2gX}~~djFVF)c>#mPL!yI8_Z7PX=XxtZf(4#Pl@@X$(~H0F%CJ}+gH3#
zeW_vYv-k*1F$WiDQzVtW7xY-b_-L73^Kd4A<0UfPL)z6ooj&rq{n;L40&AXr>D>5N
zr0)(Qc*YarW>N>ovp>2K;`2SAM>DsZ<>?laR<l3$MhhUK$mylfAp#>h@Nx6GlQy6F
zvzzlhK^=0Pey&_N)DZfDsL{{*2;}HmiQEd0Oq@rc&|2KJql+imeCbQp4ztPYbKg#u
zjb>e*az^*9f@-u2ikjZ-JabT9YOz=#<4lnU6@l1|M7q11<^34c3Kr{j@1oS((#vf*
z|JHo9Ij#?4Qr$$~9Ec)sOIoac7ehB&2G=E7$jvOC-dn};KHr@_;|PQEPEzDf)^!cl
z=zE5N!sJj8Wdq>03kJfHH;s}-f}k6_S;hWYX(;{Zx19vzpP4|qHifuav2C09Lt?s$
zKVuPViH%7$%JZS|@v)-C>1k>js4yUd^YepCrZ;=G8#{I>LdNGdT^uD=+VR_V9<k|I
z^SyCc{m0jLs;iu_gmsb&Xi=q>abuOaFv*QE?aJ6k$^OhAD3g!WN%G12$h;PxpQ@mR
zkH3B)T*Oi${k|`f+0{OxZ<QT1ofl`L(b_>>e!j^qt>FC#EwfW0F@eDTgeylges`cO
zgy>gYS!jC<?$+PuzZvhNFnUt({0ngmAP6h1JyId5{xE{Us^-#<`Xi*O&rC)9Z!Y#@
zif^QESv-f7DEcM6ii0-iXswvoRn=3zn!@KUe@QN$Nvo6^Oy&2PU_^9Gm6y+6{AOnP
zn>XH`k-7;Z#b!tbfk={pFW_mpfvFD1hT?{jQCRwy&*d#xM{oNuT)oV9+qR~2VvK%n
zfLu2~)*1jk3UFnwR{gG`+s^zAu6hivkoz}C;D^?-uHr;*jzn+VZuS<h5x4PqxZeS5
zU41>k3_g}{2ctf3y8O=ZsAg}sF6hixxPyAs3I4<%G-Ym(KKs|39V-XoFuT0gy*!6T
z=g?m5dmN9Rem~F-FBubrfUc2V+betmvzN*;YelV3%+0jQc_(y$ivlwAL_Gk~Y*8~k
z-SI2t<-PJF3KC^HzK1hfo^x9gw)WWFGvvkHn;-aY(?mo;PA1bkBFaIT>VEO<h_}%~
z$|RHd2d3GmR)hV2cVKpj^ABRBKj&o-Q^z<G5UV1}C(QW!K}`h|z3s=`$GI377{YtN
zJdNA@%XjO|{NXOPX;`Ur4v%y4_=n{pwzWW4LJ7fe8v<?RckiE#iOCoVLxY(uE!vkl
zyY2^fcP}{i2V=JI@F+T|qLN|b6RCVv9n$v44tRkj-UI~)!F4^W*`82Cm{SAl;%x63
zyg736h20#;(*bK;J?A4#f=t<Rvr{*B5NBxVN7wrnfufY`F|W)PEC^wt<R-RX(_MCm
zL$fvYb+*U84HgXi?$A@fcG~|6Cs>*~DuRH{_=MHT0@@_PFzYl<^db(FFcuM@nC^62
zwE%3qv%!}YR}*cQ8aK<LSD!|iU((4Pq5$Rcu`y7-O{xb-jstgZXJ=<`zeE-8wWmXh
zYRz>=6IEPMjdKq7?*Tb?|8LZsHfR)%KK)H}wF3C7U+dmb48V?M@>xTs$G88;lZY*z
zDU5?zbVos+rmoGdWh^SLF=A!m;)X#nW@Oy@HHm6W-|dLWPXwGo6x)@lqf+9zBi=9&
zC5!zce}Tah3)Lg~#h2T_J)&vXCFEGrfGVXBHm%$+HNfHOUwtZ*(v(;mAJ;KpTy=Zu
zSPQ>rWn>6zxzY!2I<F^b8~-dBeK9*F@*E8x!}=1YRW|owlM!!*Q>>x;V~<VVmkD>s
zFYVw6^)Ec?5KHbgm<FjK8o!bZ7e(Yxo*<56xpsAYGT2x+!M)$Pyq^=&r%IwE%@I}T
zs;}8_q-r7}vmDHL%h<y|>9G!x<(?sdhmBsuHMf4{9Z7bumN0V>uh_`=Xkxe@dw9Fy
z3?owQ`0uWhqX4^C(kz(!qIQVhKGw3iu`w|2Bl(}hi?#m?>P@1TxuTva%WWRFFt@uO
zs-6ql0k@#l)z#eGTwc;z%|b0)|Hj0m!lr0SZc+|Mor^fTt&n6DEz_2LuF6<}7n5#G
zm<~@hi??b=E)_571BsO>+|8HEU(6MeC5)DuR0#GGjNJ~5>iEi)D=h@Iw0!nvONf~A
zi^=wDV*YUJ>Hz4v*kp;T9)mDD`CBbD))=-L!!9#CIu^Mc64MYB?Ow;CKrD_)G9LT{
zGZyGjkYQeBNtgik1cyv++4usP<g>veM;qC3H<mz_&tJa-*p)v}M+G3!@gOrZ9u75v
zmhSApR&^D7oDs}|5*?gA(|&k-g|^<Y_WlAH2*)O>W$dY<zXt_EP>5#8zeQnE<_SFR
z#2S>rgt2p!cA{O{dHP9U4Cm4IRwWfoHR`(*yli;cf~O*(hF53#%6Q6DA(V%A{R7|d
zkENZZc+m12Soc3WaF-`_s!8sRw1p6%e$<~RGG7x`OZTdOWf1aa?Kl3y{OZ5>blHqj
z^BS$Y<~J~ii?O87Z@X;lIxI;biE!Imu-}(E;Oi`g>HQd`S{U^-kq;;w>`gd6h<9A>
z&lGzQ{xzxe{t8NkOF_oO!h2d&6&7VioNSsGG^1)cn7aXU+Ou2_v&)#%%<R35y3j@3
zzkN{Qw5NB8&{KJcrS-noB|Yr(i;w!`>Reb-fq@C31P@)}n*x}+t&{NN+bR>L`{~VQ
z>#9O`tM~Isp#d?Py9wO6mS4`+#A<UVl*=sCAvB$)GUi?+xE3{_TRu4hLI=<g#dCj|
zOQ;0<^tvoZ2r|jRNs4BbH1Ao__@?yUH!uPgv~xk+Bx!}oZtNMgC-;LN9|g7fqkHvd
z%FqYw!+C>-829<b_Xr-|FBVEz)1%GpO%~z#8qlq(aomd60tsZ6(9$V+7Ln>dS)nFH
zA161k8izSPu;%PzgnEml(a%!6vE*TR7R5^-41vCF1(MBz2xn3VF+P?7yz^yHiaeH)
z9^JvR2<*-Q(Jo5gmaNx&z*Ou-EgqxoK{HQGF)23n>gJPQ+2oNj`@TUUBK|41iX#r=
zqf5=6Au8WeM&3x>!yz}4<Vmy~)cnDOGv7={1D`XqIMh$e_EC`s(6gXZqk#f)hhYdA
z*};=pF^>Y>H1S~%&BM_4r>~xK2hOzz<7WrEWJ7-qbH0p-9qnB=XWO-L3GO#j(H=Px
zI$N;NB9-`yXtfUh`cbL~<yk?r{?GVlF(0rN{tW$*3z_p4xe>jA-<0-ENz=u=h!@)y
zK$S)}?5`a%|E>bURH6OJgWAzq(7gjm-lTRKyupQ@QA;+!6E#%&c>ozU7G-o3nwZ$+
zqc2j%m~;};W9W@VYA6_i(zJDNazikExn@omMhhZ?tCRT2QY#i&EtP0x9v7&*#79jv
zvmbU8BA?;_h~&ekt|Rk}E;yirC0o;=^(sCzjiTjCX7309ez+V3RwQ(K{8!XIioZpY
zj%r71YM4l>v=lPyOb7(}6&#=waFUxTnI1Lw4>1!tEppV-J*3zyJH3}D;}i<>bcoIQ
zS&pSSEk4E4ubpO=A|a?%+xQ3ctU!7i!47D+*q<CT7EnrgwI!1&KFuA8J>2n>p?J;-
zRSsZz5v52Y6&#PEybz;u^2GM(O6UL~KJC4*L==E$*(<KoWsz)Bi>$W8#Pr8NB|M@P
zM*HdFb)`<4Q99%1tuNJ8cSh7w8bTVig<?<cs9ba(8`L7$drw{qLG*PZ?Yz9auGf2e
zdr>m{F}6xgpafW2Dq&b5rKtXF1kRdWSP(({u&=d2D#ksPV<XfM9+1vwrd!bxXenAl
ziSbUZ)*NvRiAo`A5PTFu!_s@Z>eup&z;Cwhv$B=~{|AzApQANXfeg=mRspMw|A(rt
z0II6{-oBJvIt8R#y1QHHQUs(Mq`SKt2}K$N>6Vn1ln&{XknR@vZ}k1meBT+zVdh>q
z=j>Q(ueF}_JQ{VS#XHpq?Z&0MxzU#o{^C-3PAtrA0DlVnuDAT()vLAJZ*P?~@TPd-
z=fc-Xo;^WF*avQxL->Kh(jw_Gtk>(`tGdTK98G?<n`BEs#F08xu)>oA>}}+ZwRsn)
zxFm8Jnt6Ms%XNv+!*;RX>34-xSiZ3ZnNI>(1RN`LD!VB!8!CZBbqj>9C)_!R&-~#q
zJS$by{k!MQSmO8y#Mc>yH@7+lHfo(9yARn4GqB7saf}`3$2;|~D&#+^mEM#w-Q=re
zHFMy@hxmWCB&5%K$<;^cJt)APkcNEMOtS%7WZLBMwYZoe*x(US=EZ84-Zy?$r+Wdf
z$Ga5-S86nxfD@dZM)ES6iiRfsXJa{WZcZ^3euP(i;8S>Bm8WcJ8y@&?C3ofNTGZ*X
z4MLDLSA-%07>cME2`-qWXm+*Rw98sSo*(^5P+1wX*>E+}$mwH_12|Cjp86%vU2&gu
zcB1=FXXV8tDS3;fsUdp1=}$(y+voV+SXj}2`Wqddl*v7U#Lb0=_mz3roR()#jUxk;
z1jOjwXGRlhDV$yr82^mm-BRWG_;v2mY;0=HE3T*Wg2C{vBs3HERiYzwiO*1z_TB6e
zc@s=eqBUAO0GfAnz;JpU&Z>orNcwt&4(_Etz336oX5=r~(0O$dK%uMyKOi+2iA(K|
z&7L!2s%q2_oX_G}3-3q(|57k*xaIQKv3pCjb=i>2LJn_A9)510kvNHUwgDw#wc0Cb
zEj$!q+Yfpz8vzw*5K1I!38~4sWZth_&jNC2U$O<I;`z^F1}p8D3T@~NkGuiw{sf$a
zF^`#_;$mynL?k%%?{xlX9ak&eJoZ>JgKR6uMk0JKbWC4u4N}4gu=X)HVlbLeYSB1U
zJ>{)@lG0r$GeCLl*+POj-fr@gr_(dOIFOeRD?p_!lKN-X{EH}@u@_Sf1aZB)sBNGp
zrLobnti^R-dxFaxkuzkSi`)p3o0A}2aXt(%g1`0*o^+aqzDbtB%P7ClTbfy1yyFuY
z`e(7T{=)Q5n6}c{L%q>n?+AK%_B}7N!gGN)-B0;uC5eacY~<bjo_`Ba_+5NXva|ZV
zGa3>2R2V5dxYYl5|G9r5tv`(geo>H|j3kW$&!V~L?JOv{0L00Off6|_6=9Go1H+z=
z1uAi(YM}(BhjHHqi@>4W6@N*@{y^B%B5k%lDISK*LelIZtZ2tLsM>o|r5|!-&!JnY
zKMD?l-*7#%qm!~Bt4Vel>-P`Us<9aBLd7bfeFD>A>MBI~Vn-U@D&B3p22Jw9W7%V$
zDl)s+DA#aiidGE91vRE=bQ6DVSBa3WzmY;EN-3wtiXHUR>oithp7e~h(3@+kpc@*g
z-?kpU<{Zn!4fwtZ_nZM1DRV&Fu*_z@t^%%o;mvyLx1J7#Qa8!8ZBQ6g(d}fjjyguJ
zf$bbU&xhoX=lx!#EPVrM2_koNhI1$S%)PT{RM2Ww)A@wywpG7O1DJu5;vJwOG>F)H
zY0iunS}Ktjnz2i@Rj22%k=#@svBdAeW@9;QUrdSn+VpTE=54)gKE)#h9Q^x-jP}68
zis?1}#Js<k-V~~=oe*$?TD&gku9l^mMB3tja%TD~zrcxar185F(w-v@xsK*OGiL7T
z3aW&WAn2LHRZTi!DUo>2=wHSRnl3@B$81OOT1<4Y3xyctsg^@DLF4qOu<a6hHi6l2
z<4Vfx$F4}-o_%CowCSI2SWHRu<}fN>GbQpF22@`wQfnYmntrr}TwFa0P1y0rt}7g6
zr8f4yPw;T_hljCc{+T-=;H32MaClc3W@)KS^qLZd9J&zIypA2!oHi>&4at33{7S8;
z;Klm~(wF3RED5O&2Oapfws_`SmTRxZGa=mjtPQyR6H+DlmfCdYu6pL-()t-$I$Tw$
z)`ACSMsE3Rb~6GH@$W?HPC{q3dZW)IauzCidAx9g^2Z08@T=;E;JExD^gChA4vv23
zfWEr)-uvtP{*oUNk-(yL=Fq9PmsfLh8nibRgl3=2ejC+mmxUVgIftns`+H=~waNx`
zM*1ud@|1j1_J7g}k=}^HQV)(yRR7SRzB4tM5Tw|#1$B(gOz2?fkZhupr7)bzdUmoO
zB?#%2i0E3yH2!vF!gsL$JQt)5Mn)>i%cVX8C9z$ev}w>^HxsWf1@IxHqP{v4Uaudo
zsWx%6BhWq{9Vc@08|W)7FE6SNXCft5E00PPyd3-qZ}#T>xpi&ulWuc;LZuE)&Z?SF
z5yl?Pav_Y#Xb-;8acx?)0IY;l70d-Zy;r8mp@!~&<}_{V_Nxwp)e@O(@AIf=uQ~O%
zKkw#SFDZfvj5i(9pNm{YD!*4QMT>jKpmDN>K5axl%0PivN}EPtAE7izw?`2sCLx}Z
zoKjFLh>_2a1aUUs!0Zzow>I1N0Lo9hEa+iyoFi_o*}Jm*^J|}ppYcbwWO$8Gt|K9{
z?%h5yq~v#Ju-CU~0-DYB-v%wQ-hJBsV<Rers32iED!O<01+;A3J?4+(=qI>}iUFmK
z{hlLeM*-~L=wXudG+RQk#;rCQ4hUjWpqlyWYf`m#nb^UMU<%h$e<UgD1M7M8yFi0l
zIlfkJd#>)qguHzseb_$3y@S@;@JJCaCuNWQ1OBZ#o9PDcb7fXCQc}I!AD6n=tpayX
zIYqrL_Q2JJ15_m+=~NDUzctvSUi*!!14<Kc?TA(pt^g#`GsOvS@Nrm|e%t-M%4R6W
zY)tr5nM~=`1H7V|0xq}`e6qLtfh<+O(8PvQ#xrDlHWe3ivGAXv|BOz8r^giJei90u
zu-!M5`OaR!v*7n}DNe(?4mHe~kH8V&rnM_mF=V&yCG0hye)h=v<&7Q>mB$@=f`c4d
z)gd!B@=7~gt;C)~GhE6b=ZU|?7xf%7yo7HXiT1N9$_7&U&O&<!U6^2K?$=oF*BVeo
zV)Ifr(%qUD&*F#tw)`WIWZ-2eC|~Xd{HjuHcWqWIZsi!TX6r$0Sx$E+MgHPI3@9W3
zuI_f}@DQk7oNZ71%2Jo}JLUCra^v-JN5tZ{{iV#aZQX>sMmJ}swzWsP7~r$TfQ!t%
z^CYqd)%-M7m~+N(kWg&rVCHN5*e$&5gm{=CB;NdM;QV%su7wuO^XGYOsSk2J_IvNH
zCJvl?*#jPWoIqRG<K_9~$yIT&?-CoT?sTKDy%8%cVqcB|gOaT+4P&a=h(|A<b4qwF
zO&aW1>v5*7qUKY!t#cw-;l4)h=k6us@i>m7Hr8G{YdvcX%ZF~$MOzbOBt1r9{q+J^
z(r&3A8kwHJWa&BY+BV$YSEfvfANIrdK*VsVA<|O|I((Q2JIEAixaNsn?VS?hz71+(
zkjXRqHl3c4t1$iO$pOs#c|E`x7}RVB$cfB?+!8PDZvY*Kf2yz0{-6DL9wZ4S#ret*
zwSjNS5G}aDvB^HO0?gk*!`^sExy3)K|3ob-O>lLwEg00#v~B=J3yv8RjQwYuK5Q@~
zFCb_A1!9nNl|F8FyzmKoHinmDPJF&?I)s!w484jcA}_uhshA0{+_V1RIJUN-x2evC
z=oqLnhx*Oj+jwIEB~)FrioXMRqh1KpT3np<MlN;hTGOYjhtkC402Py8d{8p9*=%d!
zYO<@QnUSayyU_GyqO#LCn>%qSbuYHZc6<4(?z2PMV$LXgV>AB;I@CBzx6yenJf^bb
z0<GSu0`7s?t=2<HD7>~cL+eM`i&S6(0wMMv#WRxo=(X#`KRpf8vmP3}TEwr8N3wA5
z7QHU(i;tc5UtV4o_5I_nm2%kj;M=^|)LcwyaYC<s+eOEnYpf;o0yYt^UM)p3Vgb&U
z%TtA(h#63uF%dH}kz&s%q@)A!ieG=eEk7U#145ur1=GtSbdK_H>h|tcrjub83r+>0
zUZ@|P134P{X04;zi6JwMueDhh_|>^+bF(+u_<0f$V-I1=rR-q`tp%7S3|Arh$uk{o
zPC|3Z99zbQ5+qn}{+ikIFDh`}uV0HE+VcftHn?QqsH4nah*GJrMLuC)U(s4YHEvLc
zd-r95IQZFcI9}oIwKEc;{JLzg(dU<g{zRpN{L04b<El;<$5y_&OKp9=ZK5lRdXooU
zbX32q-vqcUvYp{$EbG^sJ6&kCd`=(C+d?G|?!=X_kTv44xn0pE9oC=-4l}je`;LB_
zVZE0=W@2^r1?NXx@TasbUeK2fTmvW=dfe^9CBjS9{H%JBI8loqGYH$@nX@AGy@dES
z8)rk(vJkGXA2S)63CmAUQ_HD=Xgp=D(r|j>pO!}S`fjggB=+s{1Ap)S#^7>_nr)_j
zNpVq8N+o-miSN-20lP)=xfs*B;(JoPz8bOU?~<q~nx7!_EGn?5uIU`+5MmQ@1OvHO
z)Zcp+&^<?VYH{&z$0)Q)9*&Oc$rQ<^Ao~B`FtTnjQJU=Kj4~KTLfSWn4I~FA=_38N
z_pO-4e<Ccd9q2*g^BO36O*@trNmv%(|EM$!W777E5Se8oQ82k$cyz6FtyU&gWs`I3
z2w=ztvW0kL!LT_IO<%I=3%-5Ukpq|JK~Ci&%`{6AJXNqiJv6x8pBVSr#jm-~fA6gl
z<1lkNq(0uUd7o9afbQ({wl>ZMhJOph%@;TI^O?#5OAvo@?Pj8K{0yPym(MBDJ}0TM
zy`?i_x1)eU0v4Kt*&!OZ7f+NlW3&SJjdl#ztNTJPD$ZA@<X_(bJ|y1<fj^!t_duKT
z4iI2F5P!(ub4#SZ^?6AToB4v)A$d^O(5A!eefSV(9z5OYf-wa;-V?G9QsD-g^!73o
z$VV#fuf?({Az0xN`3{J*(WqO?x*=|kkYWMF2~c*aW;$4^+Xp$Sis`TAU?YQTC+^kX
z#i=Z{kWrQpUz&x<@l;IA=r_mZ?5gi?o3H*gUP;O0R%585&aLn&1_3UKxr4hTFY1wq
zQ4c@NEWREZ6tWuj_*4M0MXS#a^cS4@-lmxLM>J>COH?Ofb&HiH4&6Q@;E(?lLc24Q
z^ZKB=;<+^<Lky+rpuJH7Q&`EDG|-2Q*;&n0(b|F*WG<j7*lEZX7Lt5%7tb;HBkr;W
z4ibwftT<6(cOba*P4N)ouf!8M_~q6^wAp>4LY#ak1%-EWXNelIh>29K8GWqzeNC3a
zz1SoTb8LQxFC<MKxy<@z;%UXjh1sWqN1aSv-Mjk=`YmriKR<VMR3&wMC;XHg3t550
z2J-inZk%83&6#4N0tb`hC61$i%k&B4gs@7{uqCFF?J~Q+oHQlyLLP5S^r(4hJmD!?
zcS{Spbwz{-cw8?5R5>jz&CmU6{<7ZB<)*}tK;-UhBFlBN<nK5a-`jJyzj=KQRDY-_
z!^Zf6MHtO7WQ^=pjP2{2J21qX5UR-W^jOV;_XqHwq$M&u<Dbo04Id4BLWlk_Ro>W)
z#vGADd0}X>Ak1Uokacix&+>97t5v^LMY4D&Kvy!HLJh@V4DbeBSX+#BFDW-!@}`;C
zMrGLe*cz;tI`~)Y{n_3GhmW(fq;T+D>W~UQFEWkU<vNSg#HdvOS~?vOeHgOyb-G*|
zHM*OKqr7%Mw{}|iaQ}<LtG69LK$}R9JIH4EV`_vFkS&^;pPy$wq~Z)fs#<-moJO*E
zW0utglS5vmj3xp5_IKgot?`%3Ol7;wwu7d5KlXON%SE?}*2Y7VuQQ)FRp=K<_r%NA
zb9XceKjZ@2vBGA6Rr>rO32}l$Fj{FWgw2T(*Us#dCl4>KbLw1lodLRcBV1yj*l&&1
zfRsCTzI|R%0Rqyl-V<l7lw}3Ktm%G2gn*hqcUNuO0Zzk@7@fmqe3id8<MkcsIhh(b
z;(mLS)D8NmnzFxA>yKO?%F~FG6hT~ejqTAgdi^q>Dy|ew3N70L6GJuBaHZ$sc7D{p
z#*%i<(r_f5Pu-Y!vUv?XZsYLa;gVI!Z;@+g(;-g?h1aS8!P+Jp8t<vbs+8g+k*GBg
zZPQlZLZBAeQ&Wyt`kv*$<nG1s$;ltU;z8zfHg-$``moM@{Cs^|mJikCqyX|60KB@p
z5wL7{(ukJ#&xgpj&dNC!R`Zt3^)*UrJTh0mQ;Xh}Y7=@2yv-U1s<1zIU8Y@n9c%$P
z(Ejq$9j)5(v4Dz`_gsulNF9HluIp3?7FR7bHsGaVZ-Im2hL~h-EiVt1Csohy6Lf}8
zxWAD2J>VcH41s^a>(Q6lZ&rZqjkH2p^b7m5gW-@vuR<4FU#*_TEv|VSLeDz7qw<<l
zyvq~DbYTQsc9;s2%9!RhQEb={n;>|M`}03;*H!{46L6yjKR;ZJ-ib~>ylc^WJmba*
zbN^fO_a()T$A$U@pXNmoAtB=4kKBqiv)02R2Zufb%^CZIbxY>CEUP9jd~ycivEB&>
zO!vnxz)Cz(_#R>TbsHQqC7?x2bmRsrC|ZX-rfuI7zKhw5B})$q=nnU^wcVxZXWm}}
z+OO5R(ktiOFdFSXETwMz(_FeqRw?ubd?i7HJMzVb1F|aH!6-GEcbs)yl{cX5=mhCq
zUGKe|soNLDCl>{KG-*7l!j5#{GC+XBL9=?+P`UNn74T?}xTk~t@P@1|1xgOou3Jp>
zm6MZ`JmtefJ%xa|OSFp!3z{#gbMt4+^$slpHlJvFuJW>d6>iO3zu_I##Nuot#87(l
ziExV`4x$Ax5B{#sJL)&WA#2mOM8yP>@h|nP50sQn&yF^aM!R2&<>eB_Kz@AYjEdq#
zFv<+ltH_q<u%_R->U*=}CPzyg9&H+1`o{rz<JI>6umGoLw<j5yUoN-r_KOfk(o#Qw
z6x3>>vWUln%d3Bj|AFDr<RCzRduqKl14><6&6m7-!t-Z7SrsQfpNeGdMe68r&<i40
zh{t{xGX;3@=xX}+pc1A525*o;VlNKCq)SM^`dm{}J8IF5bifuAj@4mwY+(A*&+mb^
zE#*OpykOMm<F)uLiDHJ9Dk~Q?uR9hlg?V-S_@M6U`M!W2g3Y+5T-8DfsDC_Mi$0i7
zaOqBewefOwy#Oln%Q&Hu(8uk{hWbbt^D_m30K}&v*XxOx67zNFyh&NHpPVkOQN{p=
zQ&>Gl*O9H^gV~BxK|RK+kwlwjm&DgU??!O<)3)Dl-L-n(olp1f!h$A#GF$THeb);8
zw$`>b@WT%Z&5t%%go2+0$Yc)9zQv5L7jV%<8wP}L1Zju5l6*@|Kcn?!B__s9!R%~G
zZ<5qlFR*tvB%^w@u$mh25m|q>muoDeg*HLCnRUTu2DNy{jK<_fmKDalzOa`b^ol&7
zd@=qv+~-bK{uRZ@W*3jLB&@BiNRy=-YK0Wp?w;;dBdtO=XG~kW9txRg<gm?-)97<1
z$+@Oso$Cvw68$Er8j_D(f4?wD7N=^$QOym#8_=4TSl*)eOMaJRGrKJB!zIeDMSyVX
z3(pIAyJ;SKJgcUR^S0wuS6}G+@I*GeKM|91BirLsLakQ}&F6ggM6vvZp4r5=vHRFW
z!&w`k-5zi^oxJdw7NMpDA_RiNZ{EB%(<{?B<a_{?yfbT0_hYuB?l_GfoU}m~J`bzS
zA~#?QID+~`o5%eptl%II`pk+<o1QW6+AKY+k6RwR%g?Es8Bg!dk9%HZ>4|!rtT)iy
zZ~XW$Jw44k;s#GWoqJ%SQk8mbva5I@p_z+M5m+CgozL<^g>coh9`gIAqSTpht8H5b
zyU3_8x5O~&L2a6KQ+w~nykUj41yfvKFU24+pC{3dI7Nbt3-!10enkBqC$~o?#~WFU
zw{91|`Y#YOlKzeRl=37vB0dFVb19|~lVuyQhd-65TvVIJ4$A$S7lr0#xat<?bRu5T
zN$o&6$`2=hG>D2p%NKfC(9_Okp&f&p9xVAEwIafX63trl=I8Y8CWvfN5H<`x!llQo
z$hun-tVF>*>n4z1?{Q7En|9=%<pD}Y-K(u}eU#YnszH_-p(@BJatCHkGA2^ekwR{2
zPu!*@W78UZa{ApMzSlqWIXJOWX921T5S(>&Ny<f}&eyd7QkXwi$DVhbC2Mcqya74X
zS+~4J7jH_t4--Chch=1%=4p=%duOVYCjgDK2Ec$6!D_M0SCY|bB_)hzzQ=3bi&4CA
z`c`%6HK|2b<MgK#<qfjWKPMp2Uf;~`vlHNqf!pmzIjlszT>RNO&G#NrK6+|hQ6|#0
zS;7#4{@k)E6{7jBn!$X(|F{s-xt5)3`H0b0oaTuY8qWaVaWLN256(B6uVp?Yq$2V?
ztB*AJT@#m~wW6Y-dvE$MT0M;C`U{Qiu<kZ-A~DO%y{>+P;6cRP=I@M5`3e8^x~rg3
zbtvjCl<e2@<PqU4+O$ChK4|w>oz@4{VXc#<8J61LBc1*IA;q!N0}7`?aliNuaaMlU
zP;H}y8vee$U$aDiyU0RCBEZRGin24@hw0$KIT{b~zQ5kePx{c-I3$21?I=$1BYOdP
zj<y!EP>nd1zA6*pV?rlR>;&j`2B5NqhRF80`N=AvJsEUjJyhGg<$Rk$v-Pc6DP?g{
z99q&fbO}t4+oN-Sp5=X#2OSvH_r0d^PZ}ROeS=Ct>Ev>ir>qQeX<q;*PSI`?IMjJF
zVS#VIh$9mn=Kr8(6x|!*>9%}$nV&Sh{3nGeWo(FqLXZ*hYKFu$L<Qo!+tcWAK6F<_
zys~+HAVrGA4bdiatRHNa_&LhfSiN*U`is^{)b*Jd^2ddE^QDNgKq*M`_QCB1@1<`E
z8-WhaM_676p0=5OGzywh2XSn<${VP?KeRku&T?XrO_Q}dAX9#1BXRRcNOeX@9S0cg
zuq;w~r}vdeqI0JII|8jfnx%)GSk)ArC1&~ubXXK_8=@xVCSF!oh4GV>&D*<szHcNY
z{9Gv)E1Y^Mrl$_Ko7Zli0KS0+ihSbx`z<NhN6ns_WPX2+`C{ECo>G~<a2LfVEtaBX
zR!T9o{IrSRcGYcm3IYrt`tF0-YA+b7o=qEAYS@L0bjX`{tnhF&d2*Xk>X@igrlsM$
z5(dP*9{TdllrWD}r{VD?R@EL(aeE%d#O~{xjeUoRd*H;b$G(i!?LXqXc6Z-l%^qGt
z=3J+^6zMlWOU&J(1XMXwh+kCnAw&6nq2(ux%PO*<JJ1t{iIR}u&>ZMVkFzcLt0y2(
z1<qXrHw0k~xF1Z3&lew;V4S@<=0(cYS-Sg$5$VYCZjY@{PuaU(I5%o8*|?=>5n6D1
z7;`EPN)7bT%o~+=2F&1$OwvU)wv&3g(Yo?Fnre;U7HVx~qVU61x=s6#c3%VewKp49
zf=X9xZA9I-2PG5wx_WxK|Bn1O^^fPD`x3zeS+g5+q99IoPGBej$^Gu~(nu3y)R4L(
zyH+02TxeM6&A!|19z&d*P*t_O&oUO2lu+;7u`@nJ!!C1~?X;>U<GFa=p?>#bV>rG@
ztREt#g!{$bELgG}iW8v3cz1W-gCcK24WY{~Or;NpoEQfQI|c|6hU_gs9O2TFc`~C6
z+SX#Y#<{m^2Pxue3YeHxKd`;vNbpb`j@&+v62xi*T%&AuWT0mfoGk0Zx?m1(E}8`$
ze{V2l!{{U=?#t1i3O!h>-i7IXbFXUaC-T5;tWlH|v30X@6W-{Ntjd<~{TA8@^<cVO
zR^C$9kZ7w3Z$XNam(6FkZ$O6jZaf&bw8&FD;Yh?mDpWRLQL#noqp7s-jbAG|idK<h
zXCs$Ujgjq5iE2m)TF})<ol*U`NXg^`kGXW7t}pM2`-SyvEzM!gOX3~*S|>-hzO}C~
zYFFNixcltH>i@=?ADnfj{9GvDDb-lfA1qJpAy&_zAic4B4&v#1K*C`EQIg3zfr6qU
zjqN)DTz!q*q5d+)mTG4~&eL>C-oqa!A)ivh)a0N!9}MlZ@LbuShXp0~Z`bnw`nVvx
z<z32Yz6o~!{nanEf%6}N6Co)nkk?bz@G^7;<P2C8NH^;!UU<=E<_;|5jh84P*cu21
z4IrOJhP?5!KxPEp!Yl=y0b;RDKdfM4c6oUT%!df+A1*~;_yNCPLv!<wysmJ$C~VZ&
zYzMmTO_v793Y+82eZ5`X{66p;4#R&&e#Wr=aO5L~H>5F#i1nEUU`6X74R=Q!6Ju%x
zr_Sc3(C6d&nY$1Lj-Fa>3g)euNKp^=V%qf$%aLC^aVDodSfE3xK}5_uz9(pf<5o!j
zu~3m#zPnx?fots?E7vj8H=9q7J2)rNoE)EEkB7)+@9W2=ymsHpMdMqSa?U&N2Y)oR
zT~XNq$U;cS|4VGWcwFBMfGhT$b<{|Luh6o50&f0p6KHZ-1;p_H0K3_2^RlECE*gK(
z!=_i&T$hjk_hMJcb*^aC<lUJSM62O`KkXoT4y0MO=xHDr+xNBnaKEmoseB8iNBCKP
zNJxPR#K6FqW<5+YuiZ07aja}MiC4}0&B49XL9xR>w=bsDYq%rwex&nxV#WJJq_XN%
zK_<aO1KVWt6lrG!f3Z=q$~63WK-&Yj9+f6)7j1hT7IeR)*F2?!M)P+j?fGVhmm;R`
zU0xLAuV%ZUGa@dKZFZ$iFZVXT$oiWraOU;}qDcvUza#CCIT0JT9e$H4a6f%-LD|Wu
z);>7t2OW$wF+(f6u_bg`E5G_EKDKHAmju-z#0cr5;uflKVUS>UZe){7N9Q2Pio}ZT
z+6uE>41HbOQ0fMi+bdmHT6*eafvg6}Ei$G_AHe<{)^j2?Sq12eK}vGHNZ94Fz|xm1
zIs1S1r08+Hg*?wJ07svPZ<`tVpDyhx&!ye{shXkNfh`B(ii!#w@ww1;EQNzQ;z{A6
zo&J6#Nr)4iuUnBz=9Wih6l*^H4<njnrFr9;%jB|fx?uag(E|SF`U<_4rk0kBEv?sa
z()YU4!l0cWu;W#{*y{h_-$y(o8A`z2&7t1M6Qzt*TJHGGf5o28xNY2Q*_uuzO?3&+
zM^Fd_hMG)DW%RhE4R8pyx}BG1I^(WqI|b!a*cASlQ=Vkv;){Vhn2xBcZ5$C|4U=d@
zx@OwN#=NO(zTQ`Q?KBLIrMLD-bAz^-hn^xne)3xB-&^GQh#B$2!y}|>nwpPrHSi?f
z##fKbZgtDFFO%@9LJ+$8ji@9H5EY(jK{_`vr<V*=Fg|~uyrQ#kEpyScK>c;h|4~zj
z%WV-v?Jas0piE(R&{`J-S7H#YA`zQAc~NQ|HCi*#{AK@Y6+c54ozOTM5a-{_8an=W
zvTW0OERY$t=#f#~44tMuX(7ihbRQ7W7kQfnu8a&A`^(47UuDLsV%Oo%9a;FX_$?o!
zr5`fsDPyFO!&21YXcg$U?D<@WIQ3@mY569COmEMbGSr=&Oe-~+Qr;`OxjnL2Ehs~r
zQ4f)CznuR98u3Ro7r-TZQnZr*C8NE|AP{RHGQmKkT>|la)9khzh)5v<dddxMAA^W5
zSk}oN-W?Pt8T2n)OdBp{j@+ow20PSz?v6wG<v)U^Ryo0ZjwFwP_EMaEJD}@Z&H^ks
zYx!p!4@<rKU%;*`f_8bJfO7VGtiOL=%l6F(&+Xw74=h^^2P3TNE0I)o*TX!1^`raj
zba-zMk5r!RsZ)FbcK$pmN7%FhCdL%?X@d~+^-MW(UOVicNTm`(+U2B`A%f6#2^x`c
zW!r6+tefxs{W&GR%RcA7r_+WuqgY#K_FdU~)CQ*O{YDt$^Msw@(}gWJXPY)|w3;96
zuXQt8QxPA21MUG9E6@L`4sLHAQ<RV+pp#x_BYD-D1k1M~hRF}u+>dWJE`eB>8a8t8
z+S#Ri8{{Kp*JRDkcim_8VX1hKMNEthz1QQJR4$|#cTKv-+qFxv9I+x}bb}J)&v}=}
z7(5cT6;&9iJIv~6;Nu3dOm08?n%oz;>wauC@vHXxM20KHQ@1hXKS(VTB3xshV}bir
zJg#g3f{2BK(#bW%Z|?NPKqFlm#_4perjfFc(o4e#nWBLxoUZ;ArBFvdF1abPO3%!d
zRSu7_b?OXqLmx=X*t^R`gm3!D;Ph7iKC_PkfMq_7NwP0PG(>^|6uC**HKUVWf~r}g
zG==d9wa;{6iOQ;-73D0o@P3#eak;^}wlB`PytBlso}%KYId&blwtp_6<FS6g<lPCC
zTJJr9bA-LDzCp#GHD^V4ueSVZB?<!SUz-oW2I@cDOap5QV&wd!r1#-xJ^*9y+vexq
z03?<lTu4*C;sz??*~-5qeb6tN+VMFA?DUV<&a&#`E@*LaZ~&|bzI?<frZA(AvdLsA
z-el-uAgl1wC#Sn}u<`b2m5FPjC62{{9pOZS?{gAz9A?zr9DCZjm}FN_4%1?xV0A<b
zSLav`Eed_e5;tSi?|{n1N=X_DtLzjxrlz}t-L&4UtbArIY=W_z7ZmYi70)rdP@01X
z^H(66A5+U3!Y%4NGP(ItQd1M%>oL7DBhBOaxKR-6B_+Q*B|7(A8{`swV}x_R^g~S8
z68lIIX<XsuF9$Iw56#W=4%omgGCkx-eo~^uQ$KPTOLhoyM`ksRJ+3FWPcuHKjcbPI
z#SNDr=;E>P;O|5d_4W0{SAUZg)S_=Lojawp3p--(EwH?~cQmh1R%!yxNsCjqp9;Xy
zlH*qPsv&RaI8$*#p_LAs_X&CS+vC)Z$qAGBzWe3-`4410c4i{rv^oYbXFxjuq$Yfa
zyx+Or?o>cl^4cKwfNBC%Lgz{W+0)~2E9d+zQ;JCe@$d%jJD^1d@mw<4uZc4WI15{*
zm?Ie!%3kEcZ~QS~>%fpiIeKfw)RiK)_hvD2B%E&6+8FBe_EmmPU9#Fj4}o)8>$&Y1
zjnM)z<AQ9STER!E^G}{N$M$^Cngsd<+5i|6Hpk~yxYqV3l>VKmRO~fjxtX%Y0v3{t
zK?P>H=i!CqP7GYQ*k4veUPRkaF}llDySzC1#UTPi?&!Y|$BP9C!(IrYL=x*w{-YKf
za{Sp07jOKRu&`P^Qk<>tt=#$)pg9LB2wyBcuhZt&io&lq+XI5DYXXLZ?Y|WGR}*0g
zqD)R)&3Q)>Pk6SVQ+&%BM9j`v9f}Hz6TQEx84-ay`g48ScH7pbD$io~0u^Mgcq|ED
z#K?<sF=Id=BO*mx&-HbDK|JQSGJ67YN}!mq?<y$j>1?f0KWpt<x9t00ZssueaZvA7
zfFhPcPFK(Ld`Mki0&{18W+{m!(%8+E)oVG!O|{78trm5p%y0U<&sUGFo7opl^-H<v
z$c?c0g@u9gh;+JeQjxSEoS2at0wgT0nW(Qnf~&AtDxhXaD+e<W4n7MGO?LRbNG)5a
zVEVw`0<MUbiSEEsC*~wapY;1ug(2btb}h36OdqtA?;#Nho&edQF$@!<!li+K4omSw
ztRq8Q+~K@kH}s>?WWG2yZ)k!FM7)LE?4t8Kgn+{FOEGBNY|--rSarqIeb6?K!TZ*!
zTIvV_vHl&I*epX3A6QdlLgRun!o`d<L)N?35;r6P(_Ymg>JM@W#OPu8`pbo_wiYzF
z#4JH_X-%BNVb%4#2M3iP*%0M^e7%+RP%_sY)u)WV^<U9KG~q8IK@udb&#h~G*wGz3
zsD-T21jx`KYmqYnG}y-==sUibqNdy*kTaq*@3Xlt^OQ?ew@-UkfIc#d5f+pRqQ64;
zpv30J)Rsl_5&v9V<%8ZG7spH5x*thPb-7M~aA805)Y7hXe30zhk!*67iWn&=ed2#<
z^NIb|)`Rh_Z%fXX&MkNcJi^7T4`Eanl(MLP$b`p3TRLKARsx1GX*GK2yHAyt*nuo0
zfWE?9uIx}74h9u5x#x|%X6p64uZu)g(g{EZF4{h)Wbdi7$tz=O9uB6o?#TA#P<!?K
z^!90Be-9JF0IU;kRi~xhO8x6IG8P}Q+iS9iBXhu-VKWc7rQ1Ou2HS9B?bILFRL)sr
zJPGtbK-mOnJ>0?lH&_p3f79KflV&wY6ab5yMyMyfjiT1p@6YP{(M>iwg&l`I0EV~T
z6<UmJ4#^Xqp=*`msfv#eWQ7q=_RchSb3<hB2oKL7Mn7?TTeP^4olatAVrGB!9?wnX
zjrTOk?Eycu{+$kKq5L<wOavuEbwbiXewoOPZ;9e@iiiB2>^s8zQLY6csS$KNGi7Ps
zDijn^>##h#mmC#D+vf8Q#&plpNN!9}s9uO$7`J`Sw~%@JS-orRa^C?$>Vi^VY=uHX
zdiE4mK6BH{>(r4E7p6~TQ&4|3_o`4!Hm^}o@S>~&56=|_V-{t$+|+^aeH29iQ*isK
zFAO@nj2TO2dFGuGi5GMgxOk8ste@A_)x}a>zDye`FgyQi*oq(QA2Sg<7&MeXAd@+N
zL8y(HfN&=y*niKdnmyB^QM^mIg$U;GXoIbUzf&TUzA+}j^<8a<k%KEP1zRDL6S8Wo
z)1nTp9AuQP;Of4pPqs|uDA#hqQ!u!clUph!A@I3}mnb_iC4v(Ryf~f2u|g*CS&T6c
zBU1o9@gb^zI1C@^(XaKII-4(+YRVAy0Ir^ZlaJO7k`$^KBt)#V{Wb7!T>uGS?eXRi
zkzo6UI4{nP)U0kQp>*QdC!+BVWEoD*kD=qoX7M#f+m&t1d3!$!kvbLWH`yR2>&@uq
zINh)fUsjxsR=B8lIMtl_#IJN`y{)^9ZqaOFjdw(Vq};Si;lGi%rz&}@jQE8BDilz7
z(^+pUUJ`2KUvfY0k0&#ktCCXLG-lIy&D`B#hu?3=cEXR{=j1Oqw|5(=Fq50CV_<{-
zBfU`mfE?y$BEAe>u!IprN4$ioMfxDc>-BSF+THbz*oj{dvFO~u_BFlq+!s3`l&a2y
zv-n|cyVMwv03+V-G^{Tvf(^`0g-RF#^SPW7X;KV!*{;?Q8_JZM5))&JS$@1f?2>h#
zue{qgYDQ_C#g2&K;Y@=_by(x#=3uwfYUBEF^fA$tf9dl%Qi^e6V6)9v*ZW4?+Xcf9
zkrFqI#x*oSAb<m61XS1ogaL!M5pVUmbVc3*w8oYG*SMB{!*CP#&nmkpDJxI!o&#Gl
zJDZb)Ex}i3!Wy>NDLwC_`IF||Sne!TiWw8drTfsU(u!C%L@mDcs5^Smo~iP=e|Txe
zH!Y}y`WJ`Is21};lmz~CqK(&MgY=D0<1qt+P-CdD^CA9oj>Kw*kaL<IzENPfdkFBW
zyDv!WmfAAJNCKE+hh$MH0Qs3hGXl9-q3jY9t?BTu>%1xHheDfq!1i8ev*qD?eX?PA
zdm-W9JOY@NqX<>t=dypmpBCj5Xd?Mqw6Gz#saHlw3pi`WCE7%pyP3lWHs^h8;uk}8
z{AL3qreJID<+f;Ojg>x)<S@tux1Nc^s+_6&Sc_h@S^uB;(EPhQ^cAIm3I(|0{90OD
z0SG9|tv2DD>tJh8n!;=)77W9)mc}YZFAB``7<p%Pt<)Z7HF6I4u56<a4Q<yz5%xy;
zHJp0(_K0R!DiY~}n3wNpiUucxKCRuN%R95TyG&zBhAQla$knV(^yywm3+rcOTo<+7
zUv#Kw6MhVA#%Dr*tLv~de4A_OoDv#=6(wU6%A%s+pp_ym75*FOP7s9#q}n}(Xb39@
z^ZOdF%i4!@Gs62J_yiOTc*iv4#a-#?aKxpJ2G6@|Y|!B?>?PPZIlCPUGH{@ixb3>n
zObp;+-`?r=&U~*Fh%sQ!e0ueJdp7HCHVdum$ZxOqe;efc-@%BJmI5(J*rB^*oVyS2
z7oWNiZP=HTUH!<a#`fed;&Hk%D)*gVE_~{JRu#`THxu3vMmZ3}KZtCxEnytF=2WY@
z6&5ary~+T<ixcsM^mV&JFIF0KNl6!^=L0kx%QIiJw0PEe+?-iPCtRng4Gf*`UiJb{
zH^DVz+agGeUQ|eh@4ly*ZuG2>tF$_+?sO+7pWB~kPl>dCC}Ni<h+Q$Un8hn*vT+a(
zm&IPf;}S(9Bv;KjtZPx;A1N*VeZ_lbTLcS?q@Q%_CJ<r}49M(0^H)yb!Exz!MMHQF
zgHSu3#e)w)_w+j967sqzEdZkSkJrP(zqg;_LW7(Sep~8$t*2v+hYXpZjx<rkf<fTT
zGtT34bl^z~B!MmCfblOt3=I&b<n^@2M`)CCKuq_Jo^c`PJnzQF!d#Vy@Y~=;c7JeF
zoa?j3I_S@~JE;dDm)?H?>=mFQ0ir$ivwLcCgA12n1I~hc*&~I??X>Z9h2sFc+@%t~
zEwh78DS7Gq%Wo<2Ihx+HZB4x@YI7Hk93!XReQ1{l<i^<2ysBTgq~U`K6GP|}C~mD0
zN&|#eG&c@|vE6Oc(OX3--FUEKea;DLwK0+5XA&6`>9Ux3P~b}x-J*A+NH{hzhk+4z
zi1WVvFZ6ye|2GC-^(v&PZ}ohbaSa0-vGib6aQB~EiWPl{zc#7Uec><f(11_t5FQfh
zY#ZbvQYVdXekxHaOgMEO{rW;Sp3txP8#*NreK-iFF-X=;Zzso0Lv%uj<|-NMgidfh
zYW#u>90-WMe0fy$0+kq1PkerJIzwxh5ebU-ke8q2=*b&k?IkJ9gLuaGdwo>fvh?}2
zLm^V|)nd9bZ}=KQ)=Y?BQ-0>^eM4bB(@g8RM_w6~<T9LkGsY8jHjCXTi1ac&m*2l8
zA{;ZRi|HNG0+%pVO3OhtYn+Ji_1T2-u4co3bAI;keY*!iZct+iXc2gdm~Q?G=h@2L
z|JkoeBw}sR@<TU8#s^QdoSk!Ya}-NFI8fmornruWste~Ru5M&$N`24@l70Ncs3hsS
z?*b#~)I5CW{JkCF!b*r_ufn%m5kYVKi4wo2+p8Z@AeVW&SM%_pMKC7etoWeU4>TZX
zz1!XK@l5r3f`id>{Ucrs`aO^??d6P7L@*7Xlq@bFX{Li>Q?El|4mCfM-x*0lu&7`=
zpdtFyxHwlhu$y*77&D|^DVcgD&BgEh>YCFZq6m412Hk~vKBn?)ofdEYR99YXDofqA
zTikHZ{PI=l{det>B!<XN?YF44thr;f&M(kqvya8Kjgci;oZ#d?`B&#Wk%FS^VnoYQ
zoH1)j1+u}hWuDm+&|^bB7fFxvsq*cn!@xVN%0tDVC=jt-82`!~*^_~2)?fnku%CS6
zfvC_|QsmyNeF^piiTLr8tymEb{U9{~W%%Zv33_~u_weBn-Fs$6+Sk`V|0K+w)tTi9
z2&taZ^tabjP>Cl_!oo!_!9*|pz&}EX&5ub36>DlosUql8wNCkMsq0T(1P_@}5J2-M
z_uj1@<KpFifsFvk&d%tXQ-x5zmmC%AL=qFDdy*|ylpCyMHPFIQJB*Q*3&c|c4cG|y
zwq(Wt3glh&07j|8O9C-+xM2!yvQkP*G)qM-cKgoYfza6Wq5Lx3YU}hDt=JIqvdR#<
zrc8_ks&|$4A(#m~W<gZhq5s1IKx84o&~WVZuauRT`D#c643dpCA!qA=tqdLTChSZW
zC3B)3g?nR@yC6%!2Q$QfjTiu!l(Mfq1oWoFy+BW}mNDRQK%#}W9Q@6r?@-Ct78Z2!
z)#yLe&+WUmEsunC7iy=m)5EM5%6MYuV5(-cGoFb>GO^7esQYs4$-Ct^^9PDS#E!hB
z(W#N;k$M_Av8##GDVr+2N#n&Jp@a~N-;(7j<N-94rRytismYo1S&)uk#Khy>Y9i?*
z(|HJEa-(2FhOnSf5{a-9wNtV3-qbMg<d6Y$9T*S)0Ed;6*7I=zJ{SmWA07`XV~9n-
zQ_>V~QI!E@XYKFO0xzM&Inq?B&{de%j;hd6c-YV8;#xqI(5@8yhX_4}Q1L4UxgsFC
zhbYcQj9#zN1V0=_g7xaTT)x`&@3A~pT-_Qn&PVl1g60CgcFrDOGlpdF8AWc5`3T6x
zU06|$VaTbaEj%4~Ph06gA1lG?Kw_T6$-&^I7GAl&?Y+h0Y?w)so|M@UNSuR1UPfoh
zD}@Vzpu->-8n8|Ji)p~}?LvLR99V=9J7;wUC}A=4gtuU+$*pwhvVA2Pp`$X_Y={u}
zWf&vP2379*p=vRNPKk8YbR&Lo7=!p=ZdGMGtR4S$K+Z@eZJLdkIwYa>Bw)jlACPm8
zD2lJ((@|7%KSvGWPyWix^ejp4iXn-oQ!}DkMedoMN?JvXMkix_EHVH1zU#ZMN|{?g
zmBcq+?HL&vzJyK`8PmV_X0d;q_h^c>9LX?^H*Z2PL0ab%2Njku{tXTNonxbd1x$Nn
zI=NU<4%s_F=VDB0cnEsBSW-ZBBdxuLsaW=SHO0Qra|V731b8|mZ@BRY&1QxE8%!t?
zBmfc+Eymn|^lsn6;Wnfd=6z)fDuJbAj?Lzvg{lZP9UZlXI@41XvL?OgfdGB~6ccKG
z7(A?C^-mIv$yJhADL(Z1vOZWdI+yi0%+@PN`W|x9D}h4c!bsw>(H@yER+?<7@^mzp
z(WEuWqU4VY-|(Y-9SX`;D|+SHq+K#~W#I9+uG#B|{_b>AN){$21pqBlbZJ_&t(hgR
zi^iorp@e;xQS~{4OPq$Tn<k_cBFo{V$Kq^I1pNW%S{nxvxnNj7s2N}f{lr8cttUr<
ziet(U`oEONm1+%<$dTj-<iJR8SHp;=Mx4WI{ib3V8=hX-ts+@o>S91G5b=|$dflHm
z7aBr+#GS%{rD>k<-oIALRE)8fg3g!`>00v02a;T1$wQaD7NHhUcxsr50}aE|d37#X
znq+d<31}mtkfQ6<Kd3_xXhdY?Wz>u5vzGMVYHF@5?maG9<2~fZHJiz7_z0hQyhcXA
z@$p?*8smK4mmSWHReOt@x#Gb9hW;i-Zq6N|1T~h=$ZKlrCKN5OLWn-g7K+2Fn{c3A
zI*;Z8J9vwU4;MZJ0$Yh4&c-rIg$oZ^AI*L83>FdqM~(}R*GB=#!Lbk$%O0yb@;8C!
zgNH3ON%H!L$Q3U3G}}KuoXO&|9>h4}O<hv6w?#6P__r85g@(2Cy8$j5atiz8_xj7i
z<fNgd{4n|Z3+E`Dzvqb|wD=6I`g%G#>xt{n9v9<G@}mtB-W}LDLE~K*-FJQd9H;E7
z8rZ{H@BYC{oCqN~RE%=8OomHU!(`6;?Xqu*Wd)&ujwEvNTOJ%Q6N0(@m2z<~aaR(K
z(&ceYNuNA<74R|~BBOQy7j0FR=cEBO)FDmr*$~XYLnqdh`mz$iZwF5<PDcXqPbRQH
zM345*7DJ@Ngol#(V|Kuugw%TIy+jScRN{m2r7p>Pi>B)(_SQo$=`Jcv!cgVC3ySCF
zOHf~k3k_6$Z~k{q-UPu38SibuVD*CD(w-hyUJZui<72amY0e%fMIbq*#HcUfoho!}
z+j(5!yDt*tL<m3ovq~YC|AaP5?Kt9AFemH@B!)E^mXeYKA;+AZMT#bDvOYV;$#C{m
zNcknB@jDbpAF`F+s?>OYOd&XElIJ>+y#*&`<Y*8%luat*eHaX-K<zLZj4ZNgpq`3a
zK)9Rj(}*32_7l#nh5X*(4O_kzHXcz?Q4x`QYxL_W%3MHsG^X5fc~@0crCmmw|Ly0U
z(cd@0{{<N#Xg2d+&I0h(w6x~E8tvUx`xz%m2~VRyLYgZz_mt@9=;U$9ifo18lx#7`
zwzr`K1Y6IRM8LQ*DWQ6pU>PH1Ym^mvAn^To1dOb~?+Da5i2p$3==-OipF+ryx4p?<
z3}dQd!V4&(nY>S;LV3CJj7pF?y;IG9BO?<fJ`;*O2{&K7@;$`q6b4G?<fE8+_+jT<
zK<AxQZC#z~!2*BTc_<L4=l=@!JUTI-eTH{i`{S1HaecIDx?hAwqJFufcp}ii#9oBq
zKp@%JnMl|b@aUyOqga7#@CHEvHH`{CkR|9dzK*Nq6xV4mezB4NZH4lbzKb0C^Sk!+
zCc5l8J0DDEuD-!%7?>NFn<wI!{?PWPP!V#Ye6<8MJm~~9<oC~z6*E!fs#piA2qdo}
zxQ|3+mf*MbmcF9tOTm7odPiPwQgAu__<TdtgK@=o%&e>xRyM+_Nx{<aVO^cyGXj3b
zkqJ0kSXu4NxxWAFjQ4wBGTB}4=IZVA-%}55l*2I!BdPFJO9UW=%B*W@ss?kgCi48m
zq?{WKWFS8%GC}pHQ+VxPb9+G|;>|bW1c8E1rBxl!s}X1ZQC)|eJXT{AZj{X)@0CeB
z?#pa<x<UoI{G{PV$42XDRYTU^!4h~GLoG#jOuYp=czI86>r&ssrETYMs6PZ=>=nxg
zP>T&BZ+Mb-ojA9DF*i3?Os}A|X&Qq66DgjjIAdko@Sv=8(u#Yz&4f(!pHq=}G)(3C
z4#bDcZDbA}r{2>DO0h)7*ix&#(DjA(FNVSXCTMb$F>I*h!}OyC-xSxStQpS76R2Le
zPQM}JcmA!SifdkDYM$`}fiGJ^0z3C`(mgbi9O)Z}rGB2mXLQVjaA-PK(P@oO6b^9M
zAcdfTqpU}~;v{IlQarV@wzl?LFnp~1o-ei{OXyo`Yi5BW>JMqHeLeJS+-+!BDCsWR
z*4%z-YU;Zg+5g8&xRhy>NUL%Q?3PbiS(cp!aEsB3zw{~LhF}G}f`uhFr%S}d%}tj-
z>iN<eOD5`T=}E@#c~+QIy?n^~;kIcMoml1>C49bEV;_nUZhV+9BJDF&WSY?UAPU$|
zOZs3B0aleSN*N4=7<D8O#bQVhbe)5nR3Zgt4Imu}BS!zaOvA5S()DTWPs>lp;<T9d
z{YJhcc?;?+++C|jpPb|Vt_@whM}Ky1yHzT<wE!k#XUEE^X1i1w2^J(!5VGMAWv)SO
zcU;Q!5Qsy9Vnybb@T^UK5`gL3eAS+^GB-BPTPF4F#E_!LHATYT?1w{EpJrU+Dj%q-
zdcWlXsCGaLZS9l$(Hu!g_E+0-YiJVGq94+Jc0UIQ^t+DU=bulbm3?)x#rZ+aDnd;L
zfrP_D0)F0XEpq-H$cy#IslPy__zse!o13(O&+~&nAvlLiyblww*O<!<@0HL}n{wb5
z7WN4_Yc)3ddzqPSf;z~2iLAe<(ji1_1rQ0`e!1MA=jG@380&X3BmljO-)60!h_lTZ
zA3mO88VBlILuFpym>E=By@PxxA_$9xh|%AR2L5%60-bH?>^&FnU7Ht|2#{fZP7mu?
z)N1zeJr(FgjbRsiA|_mRq{Z?9gnn4{+Kh_IQpi5kTq?LMshV_v$47qRHayAE%*?D-
zH9fridiLZ^|D{iUQqAwDEOFbpug`{aD$tNsSw3X#q5rj$dyhip#@4Lc=boQ9IFndj
zC>T{nw&&PcCk16ux|5q2axPbhEdE+EGdC9=NvsAfzU9sk1IL^|&D8Yt^wiYGPbRHz
z#swizik{xyw`DadDjz>`ExE*!z|g30ui5i|BaNK;JGNCM#4FE?z4|XM>Yn8?$$boR
z2}V!A{fz855{vdZ>kCgtW|5MDg3zKM)fyQ4tE(#mwvQP@;TE-|_l-@_-mb276Z~t0
zU($jcwbZeoYU7sJ&!ihOF**T#pq{At=D+z{0Y-mb@<gcqXW&yx3@m2%IRik$fJB}>
z$jK4&yy_K$B4`10wxb9x)F_!=Z9EorYCR+qbVbGLQhF}0{nqkXJ8XNpnjS9L9^SyB
zX<sJ%UA1@c=tt32!c>atBd6_}u+PU3#Z(CWqsJiGDgxpXeN-=E_j0E8rd4pI0jr2H
z*e5(`=c}XqTetV%JvuuBF+T`r{EghAb>;t#Lg-f>D6D9$z%*1M_qi&+{kRikMT{z3
zt;kt;+OByCN>NZy;9i~acynvzzc0m^q$Uy0hWxqPIvz;{mIgxUPb1mMpbunK^>=MK
z{w?0pf8UhL$A<8!CjIyo{!(g|oJ{y>iqA>L(Kr3z{oQ|4j*s)W2{Ut&2#JW^m7k&T
z7sgD*@EBScylNY&;Wtsg?R9_h?{S6SJf3OxX`Gy#EI*ZJ+FtAzR2Xg0zZh02pwH4S
z1&31iOt-SzzQ2BJrY7+3Qc{&8;di7)?b54wAvKiD15sdk<=rO4%iFuV_3xnMMDTcj
z(!3-A`xUXwEl^7KY>HQtQ3b}j!lmu+-y-mG{d;FwaZGq|`!cVNe|H#(YxqfG@b@ji
ze>3WjPX4dWHjdthc^uh)A5{tagD3g#Yjuc^{`BuWf^7u>Gx^`oGo<anQT-jdo^lko
z1qVb*a0(SM{pB=c94CAMcuOt-iJP4spc9r+4Gs@?U-r4w-SySQZ$SUw9~b7md(<#M
z6us&IEfLAd$?q0Fl#FjXKibzaFNeFe|DNySTQ1#+5TZXh)O)$@=b~Y>usSCvC#&aJ
zR5ZK(?c8*^i+(xPf6qTd`t$G-92jeuoQ9uD=X|{ossJ3t3JR0EF8No}y1+8<#XbPR
zgMDf6`)g~IkUv=ur+$3xhdmFuf8VC6#p>O=cgDs+Jfv#nn9`!~eP0=+D#t!;pKlVy
z^eikafJOQBfYx}=>bmuzX}aY=`*Q83J8b6PFAH1#Re4$I!MHGdr@^ZDCGK#9tObjd
zU&g#Q>glwIerYC100VX6>83Ax{C(QDseqTAyTW6rvr~c~6qM^987Kvpj$`e-e-V9X
zxk}9Xv;IiNdN5zl3JnBJw18Uh94G54_~*^+?&@^w1-I0n6+}@e1f;ARehl$0FC1R}
z*x;aSy=*!3sTTZpl3XG6{Sm1t$b9JDD~NggJpu<}|8RE+Xo??>!A&vY0qUV1w3hq=
z#aEO1CR(ba^zWSiX4zVKZeihbOc-7u#o2t4^_y3#IdJ~$zabshI_?fb*6BJ=bJdDo
z(zALc3XOzy<$TqEsxl;Zvi-UCh1NaK08HGEFBXI$(l7zMOUabyQ3s;v{c+s8GPlD;
zO+7u|^Ai1*+ck|6m&2CJC9lJlN2WQzi=GU?>E?NfAWZK|paNcbV*4dM5K3=2odjNp
zF?qnIe$jPW*Ue`~J<IdqcA52iH)k^tw73PGv#gM-M<sB1yZh@Azx&75CRN-#(el#L
z1(#`EpmYCl(+%_m>iur(S(~o3W7?gtM}Wryo1m&CEc{7OfJCHqT=@S{^%g)`MeQ2s
zrjbTOx>LHll<o#;q`SL8>28n@Bm_jdr9ny>qy!|CmXwsfi~s!R+<P6zVMgS0@3q#u
z-gpB3jqGlqMO<r492IAYo4sT8eA~|E++uuu{88}34PZ5`7A1<cp4>gOwYK_!HVYVa
zCt~%Q?+-QTSFZkxU-bdcS)3Mpl^J|>;2i94Z(lxT6R>Bn>bH8c(hTHsmk9tS>2V!<
zP#!JUDejLWgU^a69D$qC#Se3e>&Zxk;_u#FH_QC(zc9yJ82qcPe?MweK0<LHHS|zI
zK)-g-yJb7iA6f&SAPiMhRNQU{-)|SQckNZRMFHnk{?5Pg1fq?#wXOi!31akqxyhYf
z>GZ<SpSK$f;$X0yTe7<cpdsAW<Ax0XpC#WH0u2M<T!8SE+VC|l*2vDv`r>i_laPD(
zU|e6WNz_*z%7;#<Bxse}T)A>#;J+_C0kjT^i;JC_Nt!9x)YZL2cV#bbgKdKyqE^gp
z{eY<l0Bopk86Ek}fB*iJdL{638SotUycfY09DFbzbRc@<J8`&s`S`%VB|Q%YyB+uL
zbl>=vtZoj*-t%oM=P8-(8~D{e{rp{5V~+x!VEvaSZp@+fvtss+zXK$|5}slOEHHs`
z4&GF$*!c^{r<Y_!tx|{G?@jrvkjKvC<G;-9(s2&lGjML%%rJ0j0iu(SpXd#u(s=*;
zDeAto2*UqF!z%Q-Metf!SXn()@4Bw8jtE8`R*y#?fO(V1^-j^-p0&bQTwI9sm(3wo
zGFxjmE_?_)f9t7=KlrHN`&-j>kK((cz#2~)(RPZtk`wp!q3qq?KLxOUUSp4c5Pzr$
z(rEH-)USN>V}OoJ_&aR9{Z@bZu8glcHT#2Y4cF}t_DSx3>$)Yo{{qEr4+YfyX!&DZ
zJE+T}PyVpU9_$PBi@a~<yYA16i|Kq)&QGD^`^&E2%S<!KWj&rh!Rn?9yqN=15!buK
z?!4arhG`>$alio)xXZQK>v{X;LCW@~L}Tyuk23zFdVB0VVQ)6&>16`u;xvuyRN7~7
z7Alw({53&l>GW^pH>gu22+VHrxC;le&d)uUd<34hqTTs6|1LNUXC0x=AWl7Sn_^T<
zwOlAJKO{m3d5m2}?(_E>s`nc&*zdRayRt2bpmreN)47kt9=NLrw|2Aoa6eHOt2$_~
za`Jrj65x#Yt;O5g?#6|W5JNyl(0;qg-gTxOC4ja<KonS1(0G67-6d?-axZH-@r&;4
zKbO${qJ8s{d`jPUa;!FZHl<S8?`*?wJ}qBgW6!MvdHLQp6OHm&{qo7l;@5qPR-J80
z$J|5?{`DDsA9Xz(AZ~`Q96wi9=JYT9I#@=i-#C6R(<J#j=#3uE3ga2qHs!E^kt(Se
zx4LE3J|1xLTR<f^(KNo@DN0NrHx#;RH>h6-*dn{xRZ>!Fzi6!PxH)V)YCj$Cy5H*}
z=k*fGeSA>J1suQi!!BCYtPdZmwU{!S#2>CEC`1Lk4}b3ToQuQzV}Z;3@e=kr@Dw7m
zfx$2%g?9r7KPngi`+!LOz2&`Ba8Bmu5-drui(gl_VJ51DaZ=kvmyv7Nn_7*Y-{|ZX
zf>4SK*}!HNG4f$WM=#eTU8hK{zP`6Gc*hHI42ZN*WF06AD{`~tn6lT^r`&djBItf`
zxXioy(AC^^ckp-u5U@p#yAiN|2AqyT$1M|qY$IGRHVsy<=SDg|8nT(RfSz?C`F=F+
z4+Ec%|C35IW?B;Ar1e?GyrOxf_s6l2WyA}`$6QJMnItFYS>ZFqFcx^dvxv`ZFHx>8
z(BdR5b@UYNFB7AAbkY{6iL0#ZzNenEa%#GY*ESkcLLqdBA&TX8oXC*y9@q8Vy>w1D
zdn29=fcsxr6kNXd-()uN-I*)^eOYip<WgLHlU<8GKLzT(UA*Gr!3&ufk-Z~LM=<T$
z(}RIL!qATJhd2Mz#+c7@SD`d=YGH#yB#4db+y0JbbGI&K@iC(}=%<H2efNs;%j6k+
zPS}}-_Q<KoqMzwFtoj*dwga-B`*0P7%Qll$8<o{lmOBdy90-{$Bpc6_RNR0f{lM~3
zVOP{=Efgj1<ae&;`ur)mvlMBr)+NY#_$E#PXLAL-*5i%AdARQ3;o))88z*e>+vA-c
zm9Z;PPI!Ox|66q5yln{6=)QUSr#y5V_%O)o+u6}!G&KKVTZPO$ae0lrg(%3Q-hb!8
z75k?|V#I434gEch?HQ%(*J+M2S0%&m>vrsLpX8{vM0|g%U27kfOv#Yke{-#tp>cxj
z<E00JCbP_lgpBrF)jsf#Bs035c(|RI@SDi%+i@N{e1(zex3siEUknaHC%8^zrjIl=
zHC4U#Ng<r6Pbs(3GQ!)U6aGLNS;Ve|TxLx$;=hSu+l9=Cy}=gO>^yo3!k+w#BF07A
zeGeh^%d@Pd1j<!gAeV?kH=Uq7sE<OQXgI<B_UjYnLKY8cyVWyI2K!0LXL}s=3H2{z
zp3m^5H}{PqkN@t>0X34ZCR<wtkPB*V-(-c3AAOV_{eRdyOue=8va$#rX&y$c#p>I5
zuAOY(ACg{OIAp<Kh#^+>K$s%ch?}4P@=+umI*wKiFw>$v0@wfP;Q>?Tf9~D-uE337
zkrel(!Pg9s&w;&(FdrYEUHkw4q39VH`a5%oeP{T34ljO2*V~3$sVFHcA2_K_Kf|Hn
zcWE1Mr-3)J`L3tuobE7>U{ny4jr^TfX0P*H#DmUOl!+_$X{AmvW>yel;%Xv;%82=a
zDcrWP0O+`Ja{fKNnsH#i2FV(*uM48~12@z$xadwnv^OrDwryT|Oe|2ujzhu3;z$hc
zuOvtWfcHl9PCN*w2hFSZk6xBzR`sh#A3$cs48&MX?q*F`+1T!Hx*l%o=a&dNcBCQG
zxR&(<;ijf05FxV^88#mFC+;zzPM|H|?C1#B4Sr5gxIajTE2^uzK!|-<obLp@;rC-(
zrQ&zHASdBfo)$<DKMuv-@BCLv7^+#S61e@udK^Z?n<wJyR_bbLxk-dQYTUod@}H`y
z)_&qYbY}d*&G^XoLQK)G(7wU;i9T4VXqC^#!ncFtr{ID#gu}i;XCKF%O}VZ93nw}W
z3S<mmY%1%dD<Pq#e&H6YkblAS^ixzx1D;y;xd<?sasph@VZ6jRWhJGbATI>Z*A;xS
zF_aht(xkf`*=iTp4&yG6GCH>%G&u*~EO{@3+aLU~%li_?aPeRLNqN_GIlJ$W;{9V*
zlpuWg1-ulQ_{ZFVeX;l9QL!D=WFXBi%KYiG9<Tdl8?fZXZ+petca@!q$Ci$w3U|<f
zoV4^Nd2kHwzeigXMP2^(14rj2-`l*)cI)l>+rnS}txkfhVhX|N5m>5A5k|O@GRT|7
z5wV73Y8d}&Joj6^yldo80z>CQbp=6Q-pAI*RKLQDvX2QR-#xSoG<QNINZuwOW_5nT
zlrqu~!<ii|8znI~Pq4u8Yr>Js=uT3qc{+1B#?I!Kr^}YPF3{;Pw8vaChenlmSpLJk
z8_aDEyB_XUgRiF_y#atA$~^#ggKjRUr!qVCEgv%_=^OT~?d`7fO6O&FK*$4v=$)sz
zM-EO-#O9#s0Orp3pLIL_cvkx_N8>T%byQLR4!#`>4p>8=`1eP*%kPnLBrFl6#pA@|
z8??E5nY`rGb^vbI$F%kFhw|o(m6esP-j1yXO!%+VyMJ4Cn)gD?Gf&$2t&rpJpECzk
zyXpRO=58LdZ+-8`$69H>)hbTUz@V*$waN9VmC8rk&y5M|J`58xc8$OY<3KF-u&$0}
zq%JN>WP&+eAyfI=ftSCpub}b6s%r=GP!l`L;!onY78w5&r{c+YdChg)(BQwh#Ubvt
zE_`k|cv@11{{H^Amq+(lrwiCmPELn^#7o?rH~<o%@|VjFOtOyy10Zex{S(m5GxuL4
z^Zxnw(QLI?!!|JRZs_yRu644bfBy!>gFrq7cK*rsPf@<F|1FF5v$+OfVu3>94}sWa
z^xUh>Z)g3dkh2R|V6Y1fldRD5HcV0sV;_)$EDuf@F=6y_08J{dwpqJIP(nzheKi$A
zmWzX1Mm~c+;j<8*S;e}`o)sk`vHwUzr&|(KgMI$dB&m(cE-9XNkw3q<BeHmQ2V!Dr
zfG{=aj4UlJ<*G0!Pk&#lkctvP{8jwU*3S&6KZ6w!KcDi}%fO73tZYo<N?8A3CJ32N
zAmRp|q<%mQdEDIrb!X#MDF0h1b2m0MWqf!D(tdu^8wwF)MSk5{*HbJ%(SPHvExvP!
zh{5Mk)^f3yk_MLbw2D4o-yQ%_Gb|y{QfM(;(R;`K?nhVf1Ce<XKRI!PWpY#ZDW=~O
znWv009cm&G7FJ_dB`{1wrf(Phgp}|h7lXe!D$*tGzn>2bUChjY8Fkepra8Edt?O8r
z`N)SVD>g~+n$+t=<M!SV3bE@OJ**_%Y7U5iY^iI<9ap_;_2}GBJ_Sd;OzX2w`AeLC
zo#L%^j4=RcjE<f|!T<+Zsl0phrKYC4ac5y-O!V@nJHYoqk3#>k_R9obbpQ9zg^h<^
zZRFqYO({cQ?!I~Ebw)bj`8q0ZQvW#ODf#Zg#93fF_|k35<P;QLUqxlPS3v7_ZZY>Y
z^E+_YfQ}uJ^eX5x?f<AvX9Tb8z^l!HLO$$8c`Q<Mz$B~Si^?8YJ7>M172lI?)DQ18
z<XlM;hYi!E;cyZ=DZji@&B(~8E50#%gOhIJKpxIrOZc1-MZP{q_amv&=W!-w5c;h2
zn!bGb;=W?6{!CF(am-4yk(`d2+AeiZ`lgqIl!SyibL8AFFfeerLQF1IZ~uR>066(%
znk^JbRQpb%Ndlfi6WC-zJfEuuf7AoCMPuht=grF1xHo(^v+>`UNB^;wxm+{dum3F!
zL}}jkghbgf5y(Ltp9}C&g|FAMmYhlsLRnOOUqDKJdeyFVCgq}fAq*hR)6vmsU9Ot<
z`*@h6k&o;0qrKYxt@33Uu;?Ha;21sz?OIVk4-P_++v8qib>aMLNBkdsBb*W@aMwCg
zh>S2V$|va*+A`c%MVBdZ$Eo3M?6XIgU|-ShJ0#`FGiwv}@gPEPVkZUd<5J&P!~{}L
zkqy_Cc^22PfZ1owT%M38lc=|eo;Q=1fd-Xhve~n&pynU*d)3KDbA@;JE{;^+wr{Dr
z!;8vF+8Znj8wZ9gi$T2J{yXQ_wDg$ms#9H;0{gHt*~e18I$$gm0R;@cWfOZjZokQj
zohaQ5=2`yVUg3IAd)bc8`9lz8s40oyw+%!LHMG^#h~PYjfJXIxB|u3OO#zpYw>|lb
z!2!g4H1_KPz~s}gCr)v~=`J6IAC!5ZWs|Gh?@Edo%Dx}!!XekL9Q+WG_xB}p8E-WF
z+eu6s{^P(dL$;%pL*pdG5a#)KKwX>^5X7f#k%poe;h^nr`ZUVqXp=k4FFp4w(Fuky
z_=6`SasW`_eaS-0jY9uikpA2|i<6MLz$9Y-L!LVgc37;#8==yO!aqwdGb~@B7SAwN
zsebaX(U#p)DRtj0M%yP)PN6MoJXEy>Hr-4|f_!{lBdpE0>*Dw8%KXb`7_9?A<d2Q~
z$F_*I6e=7ygW-+8xKqp^RTmC9ivpCS>VUz}jn3ZEcYS?5H}~A>ev(LiOds7#@MEZ}
z+1fx6=s$cTa0;IE4>*miqy*=NXJEq@3+g<Ie3O;pLtCa7x!GPIhpsCi!7!XndNdr3
zhAG1BKzrVfDklx$pynipW#j3J)!CmJNwOStUqc}r?;H3{-LT0*r}(@z66jCU^L>L|
zT3y|y!PcQl&MDP?nIVUimPrW*VV@O>`J=7(A*TYB7x!|u*Y6Idmg2Ei2wu%-uh_y!
z=k`d~7M!a6X3K*jJo~_A&YL@@xcM<Cc2S#nSFw_N_w4_k+`{8yz=RJsIn=!a6I3?i
znO+`5gQUL4v5^xZK_JiYNHwko*4juU4CP!$>I>gA;I-ij_x)^JbH9Gk7(Q*6`+=hz
zEFj|fM=NhzSRNVoX6oL!i_-vR@R6<{GF-B5U}!DU1--z=@8)B7pOk_%Ji3$;)V5MF
ze`InccZ=@)a-#q#<k>62N-hXTPIzxc_CRbgg{PpVmq&TpL#bIY3p*EuFVVELNi^+K
zX*WjMvp-&pOh^g7RW!M5ayy7^R)zYN2`f$w6aeJ&pPAf$*3&}koYnKQ<<}?azIl;R
z@88kOzv49|F7z|<gzFCbF~d0u`!v5tux#P(&TSAZ6}E%*^n;s63Cc@VZMyN%wfAyO
z+!G{~p0YWYexf#cG4G<oU%s0u>np=x*lXoAt`Opx3*`_*eM3sdSxWxIIIH{hLc_=m
zIrE(4O#W9yYPw0Rl;YxO^TC7zm~$}h>SZKER2DPyv><Z!ClYjJBOeNf#3eClV1`!c
zCyfPl%L-H0&7sw4B+*Gx!yOLt)8SZz0Q=^!nP{f4IL>IeNS)2zISEwlymt(pm~Y~0
zasS(%-nS(IyWOiz-=11SAv>C6u8Bgqf>>7%NB8<;hWm7+P+zL1F)`XS_q`u3!8AX(
znKjB9Zk)zjbjs6(_1O9BtD=Q6*)9tRf7IqxRG0U+8pSpuL*`2Qgd9t!#lPY*_dT`@
zjSs9kxXxdE!Z3UiOOHmO1wnAn>E!rb?O=SL{S;G(hCe_3{B)4pwaKbTMIHD9w6wI0
z1bw$_T+9=!oejumI#0`V=)<$t<SwFMe|aeJY)3dP$F4PTR^p3mH3XpuEYg^UV`m!d
z@2lAy(-Nh9|9TjuLRY|AP}}qYJxkDaa~3YH)`aJOgVl6Vqp`leLdwRgP<}A&{=1E-
zfa3V9u{j7)t$vu8LsIbh>yG%IrYB@@V1;$cLDQFDnL|E>M|s58T%#H>O<xnj4J+5s
zY%N4`R~D>CCENbV!R$tsv2HeS^Ebvr>TD{0H~w{VhlWk%m?dopPKX*yY(JJ3{rR8H
z->x6x;C^LO`It-57Q<3|#|MTITCdRH#9|5yw72U{VEo_G_NBNLb^N$+Eh;hMF_6Lt
z63I|oQ8ysG@{egRaW)9CUZmNu7Sg;}`zjbrMoNQ&|L4g^DjlAGVxsE9SX4MpS;Yp_
z$L|Q!+dxSAzeTpgRc~Gr_5Ab9Q4Ah}`y-*Yuc$hie_Ay2A|}s7@cOBFT$;v<P1s1?
zC?U-|#z9asRO^%%p}DkyhGik68>-G`7$RQmM+bf04tZLI@e8SrBju8$S-5!*OPo>C
zQ(>2(nI`Bd>YTnkD=uTEpUqsmq{K#BgM|?O(vvBH?l7&YAv<0i&;suprU$_?t#$Nh
zAj;=>t!H}fBBpRvfanQLvR{wV;XCPS7G-68-t4h!vhai`ozoNq(&~BO>!sn<+v4RX
z!KU{#`pF0fVu(^-`5zamuYvs<Y`2C|L`e2dZW<ne9M5N)Dk^(AKYG+yjnX8Fz=J?K
zZ`TMemXV7j&WqT$4^RGQrlZ@h-`3vVURyimT!o^db@m+20@9=BB(DC)_M9HS5RC6s
zRZZ?3{X14pPTU-izsO2Uya@T$qu3FiM`|)kjztyi;LKQVR6(!DL%EGEyvIPWOpEjU
zx8Kz2h0-q=`awQ?AnWf}QU%JWYN1Hm4N34YHDkSJ2r2sZ_N*x+fvpU&gL&IzU|I{D
z>1W5HIUzM9a5)w>YouR=eMtK#^RD2OFZPqOsPnH(Yb&ddX$IieP-x+?VjYOiDCJW}
zQGcb<>`H9q8aH5gK@tlYFvsaH5}~MqK1*&gb_a758c*MK!}_*Hqd|>>fP!V%a1+9L
zfgb+9Jqf1mi4R9!Z9^BWZddP&bGYnl4{*D2MwS{lzM11E_G~3K1wQ;i2zXxt5-a1q
zsTjv`>rw?L$|Mc-m1FF)J^*T2Pu_nizgV~!_BX#F$y8%@tUw#T%v*Is*RmFClW#74
zfpNi@rIF7~a%_7|cX>-9!4?;_4l4~I6w-)Fa!7F?Q1{@ST?@wn^-E4}E}3P}#A%d`
zt*wxJihJ7yZue+3B`Qdh)_jfImf12#-uC>+U~&A@Uc!%<-ASDJQ8M#lR*I=SFJ*9N
zl+cryXDU>IN`bKt8nA0sXI6<{QfB|`leaCMK6i0xAS56Ql2Fcx)9*a9`ZQ*Q5uHa5
z&%~7nei--tPgb|@msVn1J+GL82>lkQn%~PDvz=R<f<I^8o+!7dB%1{!kfXw8kZjxq
zQSed7pwgcWpT?lz?@npfk|fYortkPZiQ9f&zzB2CtUL=U18v_$9~<~Z%Z|eW8c3F~
zwWnu4ayyK~f5l=X$2}iWk0e2Mc{-2NqK>=pxqRE&rJ|}<>1lZR$e9+$5n4+~6M8C{
zw!BtlNVgvo9v!W)+WEH&dB$Ic>d&yq3ib_Di=x*5*$Kr(wMA}%p$|Bzn&p;y$l#il
zQhyflCU2XBgrvh5o0#EJQ85Wq9iu}4Y4y|R#ukRcuu1N_w}&$VjgTo8$*dU->uvg)
zk5VPmIe`rlZj2NIEv3A|ONPO}2d9@0a`rDa4;9v2Nhij}`dtHf5ylCZrvH228=1s$
zg8k#nLoDqd55a{LwjSL8zv4)2ij@V46{lvP&zfOb#Io&c++qCT{rl@(v_wn2CUDk{
zF1=IU;2;7{kMQ}5P%aja3feojTER+PFEH1aqg8bJAQnttM$pp<b?f`{`u-r~Cd7F5
z1+`8|NAg?X@RJZ2QpoOaL)8TD*)+IW-Su<_N7Ck`7{l#;m!y#$mRW41j+FLEJUV$w
z&)FG?83ikYP@-v)@3u&-%%!b%Cx$-1O|R94&Jj`F7DF@r%yWFD$prp3%-tSI^y!1y
z*(?O?9UB`PWr{e7M``5;BCN6Az4eR2frl_0T-nMUHake)#xOm5Rr0mb;RBVRj1fo6
z%cBaB&dTQlXIoOWhDodz8>q<`TW^&~&gi_-Oe!j+ldirdloc|?_I-Z0u|5<H%#}`~
zz5k0L28DfFg21*)uF$NZAMH3lO%0t=sDsWsBE%7W?8sh%_BAA^roCN6VMa`dqEa%M
zu%%4Zqiwl25?g$E;UAzS17O#pk6Z!s6PhHhQVoX8Q#{-E2?^E{r=$?7S_t}bzriGu
z01|!4%bY%t;*|TY0$=(AuXJ?Hmi)VDWq$EDd|R>88W1Fvq*&u9i2nsqU4=d|txOpz
za9{M&bgmHZ!>=Gu6dLHsh&G^)VR)Xh<yO&FOQM87f=KyI%Be=KlsqBW(_jo1?exAT
zhmH_l-9X7>W`;wIhuIPcIP24RC4(gT{?^w9hVd@8#%4!Da5=A5QEF-u$(7W3M`OA#
z%}EzSJIaGfUIJGM|Gt8?4|$yUNnrKU#ZXz_e$SCAYq@-83_tz89J|h>TI*>&|2ep8
zn?@!B!DN9WwI4*SroQVNTxO($?XbMsZNC2|H1o-zbzoIbv>k72GdA_UkO3`G{oG;6
zp*Q+;dm{49k6n-3F$xx$w<%vZ9xCK3_>PYBj$k;TOWkqy@sgpaQ7rgg#1R%3ei2S1
zftYosp*ndrM#1x|gfZsNd8<1Xgd>sc%82m-X{*rSiCY3CMsF!Bh@lYd8}P9;H$FCg
z$z(RNL<3}k3-R<=8;OW%kV1SA8?|!XpT+4q-2oUXTBPK9$oJ48zLV@x`A`Wdx5JWM
zjorV->`D`4Bf<IIf_-_PY@<FlPN?2rPW_X1bbkJkA7?If#|+crbtCI`No?W2vLa{o
zXMoDv;OZtON3WHV`sYW@ySo?rSl@Xf|6<MQKO3@eSExo_uwpZ#kz`ers-oC0sxj8F
zqQP~Ydg2)NiaMJ#AQnD^_J=ZWdhDkX{_WFgBxDsI%XvC{=dZuWbtWV?<$kaRfGOS#
zEX$|P%qOmP8~Oj<Z(}1bzm1B7^%U#T_?r0-VKi%sgHN;Cz;?oHy`a~1LblC4H1g2&
zhj^}bq%A1?s)Kkv>lc)CRfSR@V=jk8;^v~(NS?Bk_<^B_qr~|57sV%2?yo}7P!_cd
zx-@^lAl7IqB%DN5Wo4slHu;n@zm7sine8efb8t!<?uv*VWEQTnBF3L3)ciU+Dl2pE
z!9>4$!CVB7K+V{jFQZ2kff|BZ@KNGR!eQpEzEkV&Kla(ZbA@6qUfx*;zLDPIlmp5T
z2?hv$IHJ(vWtxLGoBwDiV>AzBGgMZW=>8G~jxXA;V+CM?rXO74Aeg9sQ~ikzWqTv_
z3Zq%LN-8R&=FV`PP3bb`&!e2V(BEm+ky6?8CM^M@PMK#HDek#0Z|0UR<lm)@FS(0j
z1mR21CgH3h3a}Px>Co`M9wk>d<-)})M3l`Z7;Bk6vHAT+l0eBvPjaxs_z@sA;rQP)
zwTeJ5!%|O&jhMT^cNfDC2|1bMtd0dW%vO6}<w!OE1v?p^%EjJ!IrcGVyCCc(?lrdB
z$G=of;oNCXbt15j|5P=JFP*&Y3y|#aIF!^|)L73vS+2DhIiRe9Of%kdP<ysAJ|QvB
z$jrRC6WfQ)iMba7sfd(Q6a{%cC5(dlMFdCn@y*gF+VjACqn0!PI_~ySU|mdKMhHW-
zoWOK6LB6>dn*g-qghg4DdYa!5Gbb(FGdej9H1s%$S5#*4_a&cnInv))Dp=O9)Hny)
zz(xlKtKGhM)z9UDcRFPw<y-%*1<`zx;?<;Xs^>|FM8Sx~0`82`biE``OXTxV+HAs<
ztd!BT8>>G`#;F2v4#5UW22UYVX%2N5-da;T(&kC)iUbrdCR!WY0}r*x+f{yaoroQ-
zQ<Kx*EB(V|?%@1i*p63+%Q!AB{JSLMi!dCnZP=2ZNDLd$%7v0Sj{5+%;!WJHSKDU5
zIu5K-?co)3vGyOQ^?wRzy{1eMV~klqK!E*W_|>BPx~gaQ=&zLUnh=iqfh5Lux9Oab
zfdn#G&Qgcps=oi$Xtu*{r^J^h;_>fT<=A-1$4_wNL>JFlS>72tz8_b8uPq-g&FjQ>
zUDsLgoHQzfpF)GnS~Wb$XvQ5oS6VtD>eJFe0{sQ9I;s}xM!4i#$rz+0N!65>Qg6u%
zJh&L81<1~rG!R0*ELI|Cy58SjZR~sR`34W?<>He;P#?Y0?Y9hnHHF-mkDNQq%ZUyY
zN<jq^l!!^LpAh3)bY>keT?)H@<ge=DX}2kFyuS}Sitt>X+)?DHJ<v<bX4E?q<#<;_
zhW6|Y78H&Lt)W((Yy=PdSn2=Y9Ep<&TLy|kZTs`?fKWMPJ>87>>&~Wb>C(Yd^#w1c
z!r&>*^@io*KOrUIbB~P_fIpcK%&Zmz<0%UjZ7tcwuW~MoH+3u6TOGfw+Kk-C!8j)2
zt3}b&x4H`I^U!<-9OO9@W`(o{`X^rtizclIUmxrAnztk{oV7x4EgFtBwXsF?c<;2*
zGzfY(k&6-=9fPs>_=R)F!?6>8Bx1+mlepKU7w8HAbSbJly^A~>NC)Bhuw?A4qcoV;
z%3``r=1e(uE^pu#pV-J{_Jk`br%uAW;>E5ovqT_FSyV_u2cptI<NVz1Ugr5#h(k(l
zTwvxqg%2L0fL_HvKHGmNI$ueeZV`~KiSG(31Q{BmXz}4;bfFNc05LwIT&`P)D~`yr
zY7Zgw)1?>l(J<l?0E+;6VpIPzTomblgD3jxrRW4rH(WnHq2XBtefG;wX<uuL<d0A?
zJ0#6Ecf@qB5^UdRAa4)PG}F?y#^zP3ccnMREl?oBL0U}dK+&s8MjdF6l;9aibMlE`
zO7Ib)10Qi@e02vta(xnVCmv#;)bOIQqvOC^WkR-tdIAmI+7a{g;K_WPCqIk+@Fv!*
z#2oQ`Pm}o3+XSQ4P<R}T?)YC@-zP_;d`SlFCd;Q7i;Ji{-jQ(d;?Py^D4oqA@E{7f
z1pWC~5Y3k`Hfgodn&<w}J<^SlDf$!NCW|0Rme}ubq*KHnTvVW1)?(5XG!t%JX5&#&
zK`G<;jzjqLPc+<5)e-D(1P;F{P*B&Pe4J#-g~${cRjRarUwsb~E4c#-UPj?XCid9Y
zpM`i=4ZQc4>Pgy`$0?qQa!dVwNeKv92x0GVI-yW0sW8;PNY9k0;i#Wds1=4FqP~3<
z5_OF9l9USXtETbEtEbpxOOBU6y+5@!ZwYx0bX@vT3<pl{Ite?LIu0J(-FV#0lxf~*
zX|MXvE!bD%+nBo<BMi_Ytf!w={N4^Uk;R{7&fZP<Dd&?_#J_nSq6*KQPS5*oW)>Zw
z2r=M+-u}vv;-r}E(l@<1vI*p45TC*CRaTtZSvyBdhANCAytDnrh2@AE+1VLK9VYxi
z*8v3n^s>RuVk{B3!{=}fs^h|`t7yf~w&Pkh1#%)-BAs(vJ}{h3I5Uqn|LY6}Izx}e
zT8mrp(t(?%o*Q>&Kh=bx)diXf-teJ0?N19zLi40eJdCQ1RxDTcROD;SY5U!A4ET6M
z2u?!#pe4=7O?A|#v9j4*$CHt{=e35+8W-gOFT1r`@#oT#;Vja=v{`B$qSLvjB-Jg^
zQV5XLl*E-@9KypScdg#Qh-b$-r#X(l$WJ_GT<3<fCMmK(R~$s7T4q~82IDfVFiM|V
zin)N?SKZG96VQm|7twv;Bp{qg2Yhd~7)fDbo|xBKR1DF0RJ4+4zT-Gq&){7V6<KVM
z`lQRGhB+B=Y9vrX7W*xWr6TU}AM)Zd+o>nI)hVC6rXMDsMw7-SXk2~2L#>WF@JxDY
z?;L#ClT!1Jyt^~ihqH?dFMuFvL@^8W=L=~Dqb`<_Yc@A9H3C}yy(dIMt)H6%GH~C#
z{4uzd*Ottmup0P?j2FJ%2w!H<$z|MF5Frua4q#@di^x<cHu#{r1#=&W77Tx*=>lJ}
zb$X1LMNA%wUbXb4pgSiGP<CCscBKR|bnSP~(SjMUeZD(Slha2VRLPgN3yui-B5e6u
zy*>`HogQbWd131GQlk)}gr5HiRg@nX>3*%+@bb%ML+UrTh^h?B)Oa`bRyp*%T?Aqo
zzX9erB}K>7!f7or@&US+Q9sgbe{u72``^Dwm6$iNG=;h$5`pq4mg1W7VkINE%`8&8
z4`(7^7JWb$pdp0_DZJp3d7*8SOrrDKE=ZS-L;Xof?fk%Zc!pu*)CBL1nij3CE0J&f
z-}qg5`z5&Gi<m0slH5C%DTczixZZFfQcB26fAYh1hPfYAed>hb;~1!6cGGW*lMPeD
zW4>Z~)VANutgNI?iamkAXwT7ctdZ!vI--!Vkn#Pz=9x&fA=~P8N`~&pqm^*yqGXLz
zI_4Vd<4V+Z#=49j0p|N4Zks$8NqCA|1bt=!oYnI~vG!UJtfCkvPQ`xu*ZS+54q1Lg
z<?hW7{C?UFvSkBoLO@}1+5LEEiIMs>%T+`I5%GQX&pc$sFCItnr)~;mg^U3@`?5zd
zHK{j*m)JR{aD6l`@j7a>1?0LhdaKKXF&WfbUuSybpaAZi+V63%GP&L|(GbKDjSLhW
zVnb?CWr{;B9)T>Mvt)706?ip2qSjQ%hG}V^6Mxn$`9#By+~D*4tH1q_$eV%}(~k7!
zsr1G<RK)3UP^J@-RyVIuquj`h0Y+H9785UVyjR=Zce}19R57nG>nff(yF-!#IGAxG
zQ^}(kzH}*-E^pR>ybfqB96boV?cu|B!lZwShUA838E=TlOZ!&wl9h!8%xkL?WmMAU
zPRJrPRM6ni(_*hmTzz!Ov;Gnzq+npUrHGV~X1szz_?Ie9Dh{{cl{s%828MGzuNHVj
z1OC+<-LU_fsmL541l2YujiYt~_~Ao(59-p~Y;DVotGgD9>JM?6G>ZQdmgc+(Rxel2
zO85ar8gYJ=$G(eG|GLX&xAQuh{{sLh*xEjUa9lk-&jJ5oljgF#U$cHLaN+9<>pOqI
z^ae6-OntFg1=-bF6eOyd&)-t6{er*3T<5Qyf$1cYlmaRdKwf%IeAh<^>2}u1$g!D+
z_)G~UFmx5$wtW+r++S3e86i|i5Nvrrk22&=r5~C6P<xWatNHxdj>QfW&{5rcb<=Pf
zNP~e}K*gQ8OT>KR*PbG(Ie$kSKaA7z`il~o8o(5#;T=g$V9FG}<iaYt8Sb^@zxe1<
z?4i~+iX)-7<H?S8I{x+RS1`h?Z*RZ-Ug%BzUZqr%G12YNT^rwbS)H!L=o?|#J6)RQ
z1Ag5j00QLz95sN2s9rTB8%}q;d_CA@zd<n*G{UY;m<8|CVhH#wdKpN5g<0Hx=LIsq
zA-et2*m_TdBbX#TPJMko>NqYXT1{bKXz0L0{3c*GUs&`ok-$QOV4+Yc;i?EJd*@(~
zkDq_nsu-s-^DXBVP-eOddT_Az@(LMnv?&d$DxGk^sy1w?Yi{-?G1(hp`0$@W8o>Pd
zf+3~nvQ_<65wNHIa6MC+=WGfzvLF66HFs1lJGE5-`0O=}_zBJ9{3T^0r;<$tCJ-70
zupSR>UB$C@RKFMMtttHXYrWgo$<Wc!^R{z^JpTX#B6i~w(~HC_0ED~>MIp~x6~1|d
zdo2CUXixY-<ny1?TX7^5R|}+&LEEabky8fMb^W7XF<4%v0m4dN^EmhWr^Zq4oq$ND
zURHUyo8&*M!Pfn(8#$bWq$g7qkm8pAeLwX_jOir0E{TxjVli=)vPRu5D6&A#8d1h#
zLioj)CMc)!0wUZ9!3b$fb4#_ShZl9k&oSDT7#_A1{rvTd-BZRNIG?`?APqxklE~RK
zYc1KqQm@sPQY-jgdT;)bfk(_&Io$5Mb>M%Ojh;=-XZ{QEom)=Ss)m=?#Hn#Lf6iD;
zp=sPz=c)~lu@BL!>iKE?8^cr=@3CPf$0w7o!c<F~nf%=<ZI*#t$f55_zylac0|1dp
zr=iO9%-IB!DXFsAzxJRNFyGu7J7y|Osw3`Ci?SP1Y8m1hv#xMZBiv#e{>bEpIf|oX
zWnfN4XdWwKk~GgxX6W@h`?+fha9?(7x&7UVH>U^y!RrEI^UPW`i2r^D%g~H`sy|&O
zH)Fu)y*ujl-g!%LyVi>>PKwwAWRc1=OM#^~h3`hPEV=K-BZP)Q>~FOFC2Y(J7)Xmh
z;^Uq}U<eMNlAS80r;m`PhjWvM^9+Fa0?2gs+gFb;mPh;%)IBgD^S(q?<Zs{2%H`uX
zuf4_YeAhF2_Xu}7x*b0ve5~>gGEeDh;My(qs!ay61QON-#_QtTjhWI7=Yi8yTX5xj
z@HZ5&Q-Xw1BJ)-G%OhXD&a}EC3PPfK{3C@KHoGPd5VpZK$=NbRry?Dcm;V^yuY}Mo
zvYD3*7ZR35wFV<GH!Q&ng-d>m@QtUI)z#&t$#BbuA{3}9T2hpBs0r>@j^1c*w-j&V
zyv9;zH<Lw(8vnBLGOX^p%Ft*cZ%BghpB1MU#ZyGaC=yMM0V{p@LVB2u-UJ_ZRxI1b
zL~g|Z8=F(9fajvUF8Vn(^4o(0$NEzNh%yBJ8{EJ_DzM@Pc+H7Rf;Sw5Ylr-YSo8+%
zLJ4osW<#uCTH`;Z5NW1PqQHAt#9sbCU4ZI91;Pjh6&NTCruA7TPOoyq^edl7P*Ilv
zj160TKyRWDHQ}>EM1AQ3C33|{USc~|6gxphJc+SysPE$&w*Tl=zF+ou=b1dXJYDa#
zG$2<EQUAHT*>2^=XE~BRnh@<XI?$T%j5zl@D%LjmG6movd5^BsUmosnE`d}AV0=8H
z4eo*ad;i4k=tTP?^l0_;5yB3P8Yh6bZ6vv$P4JB=htEzyBvblub6^2Bz#AO_D4f_y
za$=eS9rg8br1&jZ@%t%?yQxR8aDRV4fpAs}po;*!YTN4FRANxWBT<hbb;$dlQ~Syf
zXr-=Vo`(95hY*0sqz=)7=jOrP7C{Y@DXOijbK66Lfs5U^t&XM5=dW3Y<)o+)9EUzh
zVTGTPd`oS+$b@%b=XR5R<-u(pvwtGl2|fH+`&<1U!^*<!=Nt2)fK8f(%2b&3SBSG9
zs^5$XCA(l%OE^wWjrzqBzP-PjGPkv$co!YEZyKqRs&$2yT7JkA4mmAu1lkzOz=3iN
zhHs*8Md&6%S<GhRt|Hni<NRUQLizo89OS1%(<r-z?Zh1j5PYMuH)2m;R~sW51Z+0J
zcx2MIkaay`l$KahfOmZSaNS(M6KE2FG=pSfnK0EddqnA5toi*X=CFbjYQL(P4?w?<
z>p7zS-d+Z`%Q#Rtxup4EFWSr$ii=YJM`~o8WiCLguVRPypND=_=O>#=BVOrA8AL%;
z1`3OI5yqeIzd4KK_hLY!s?&Y|Aa522cW6Y=F+qeIW%f*Zo<AaBXyxwE+oXB({^sZb
zfTQj&0HnhC;llaSd}|P}698F-)_fmuYgVfqk5_DXf^GoQLdSUL@!RXgZ|bimqW%?N
z2kty(TX}we$|eF2-Mh{dyUq%c>yMP3{iYvLWTU~&F5`}#Ap|3jwMfU|sBW2~qhpUn
z4hHX8_jED>5nOC(`fk3PSYYq)utM8%P@^ok-_E(d>wgdr?)-7<_bs;R!@t*%nt~g@
zAa??+gYwg?-TYRzN$G-v3VkZ-q40EIA(bYiBo!#Eti(AcosBP@VcF6{W$!(Ca2ozf
zhe-te1x2kLtUNB07cS+Mg%lJOS?3H9J^8HTL8gEi{VmPC7m*)^3#FY?Zlx2U+tVk1
zYCLPQaUK5ign8oirzt_<k;Y@f<W$;MQ7PH<!~(Kjo|T<c&u!KFr&u~++ayvA9UaQK
z3|Otx!?T20RNB5eC$aTyiHW~v9QfL55koZ4AORa_O^$iop+8!)m#08#ox@$MQU)5x
zGI$W!DhPU$r&wYtVOiyd$C)Lquz?KKe2m!pLz*I=F8&m~+iu`v$5$gSvk!ZFDDo3X
za?N7MdvrO$bURj4!Vts-4?A*iv(URZ?!^uU!0LsiCB^AyP|5TQDBy0-WOa2Lgkux9
zHCAWek;bW;*b~4kcvuXk{(X13`Y@xZ`bg{P$Ff?jzFVwb&>B2?_n0vIEeiq*nEqG-
zJt4%epZ_$*Du(9yBq6B9^hh;F7|d+8YcVY}NRHGUn)>_uORH=726g8ecI3%W%tr7p
zkB@Xz%C@Bsqg&ikKMGNJd3pJ{IL{L{p4+^FaqJH_Hm%@V&~wju@}*h48he*5pUPE&
zUaJ4rw);1hL9|c&-p4{e%xQz634i*9)bh9nY$Ap+Ie9R@#*~n!Mb3}LIDr=hs1koO
zUr4(Om`sn<3=VCKvNsS2qr3SDUSz}@Xs0Fo4mFK{BZQa62#Xjj-Y8^@xhlNmVrJqW
zHAUx%<yzU#Bj?TGM?OAHL5!)2pR?&qGp(XTX6N$pGSWrGB}vBfJ~qJ8#?fR%e8$?b
zq?LPh(X=AOpkguJLp>ssw|Dxl6+xvD;UKk%>XzBOGY;w3l>+ipB6kw!5&%gx`S%zp
zLDoS+0mAH!_@j0!bPR6BJNB#a1TtZ-<qTi4G5h)_POcm`V6<|cGH4!J`N~;uZcn*%
zx&?$YRzJSU)Yd;0*4B1*iEwmlFL1CdL!*iPRGq~;+uCmIu;=Pn_ACJgA>ZGxKX+Mx
zWG(|2fiPZ%-LRJwS64>|Bwjs)nj)xVIK}UuZi*hQbsH_Eps3TGJJ<^fHygvm3qBZ5
z=cu&u7rLNiicDZ;vF+}<c{$MpFBW4EQ4_s|CBdyjuQ_z5MCc1c>}lFbbBQ7%Zp>F;
zb)U6dnY-#>Ca;It*`MpqomxLXbNX}*y?$>LBW2VIm+^kse$!a-ij{>oa21<bTLKDU
z8G-UyoboJ;f%MhZboBh2xR$CMyx1{i`d+g!?p~1z|5`Xez4&-BG-9h~(ji6giqUK!
zEBUo4s`BjeYBot@N-pLsrKIy~!_}j}3RtaII1amE%tWivRx!1jwM#uAxpoX{b9u2z
z>9p_7(rRa8<2lGLE=K^;+(kf30e31u=XOyV?{sr>RX*W5o}1{@0RN_o$SIJ6-9>3n
zx|aJfDkXpe1guhYtOznr6eU+u(%3gMAvsP4vqpHbOs)b=@q>g-5HqDL>f2dHT4{*P
zPei=4lYLTooD<eSd0fJXwryA2yv>dMmV{dLPa<y(tNMGJ(o!S#W&8J{^P_RcU)K8;
z5VaP&E7MM^{MGFHPyfpCkhB-ZvW^MhxO_uhNYl=#$t^;MP$i;JH_*8`@?PQ=1naD%
z*Ths0>|N0%noabvJ&)r=O4(kDF_nUT%11NQb-q4nm^)qFK8^CLK!pBvI>&_`+Fpok
z4~DE=O|KC=e_r*Gp?Y65=m&|(4f%8AY743cRd6F3{3ERr-|`TOCs=W@x{Pj>3oPL_
zUdA(yAV*o&$tfT@II4(}XB@`CBwW=T_sW}>Vw>DRmK`Qz#9q9tsHzHLK*Fjt7!(BT
zm&te^F`c?=Rs!sgzMNt|*;cFiS00YBA2@PVRxg^G?>0^DHyf9nVTXB{WhC)3$8{~|
zJ+GT%{}W-zc0Gg+j~8NA(9cb2pBtu*9;KnDX4(qiR+4@&IC#Ox4>h}OK3)X+Jc)`6
zr&hOL1D5|)R{YLWDV-GU*s;V24Heu`E?pGFJH=VY-!C>Cous3dAx0%EOHy{5)n3$#
zJaETRdTmbsCyy8*U)9|9dz7|!|7V^TG^wdDTdE{C9I_^^l#vK|shQ6<Te<-;2%@f8
zR&j8IC|plk)ZG{}d4-%7_eNZBQ|zt3^1fui&JP4GvUZjAi?z8^^~uQ?jHaLIxm<aP
zCooV#w#(tws^<sS|01f0*563wmeN&0lzeXah8;f6#Tvf9Y#fb|CkSbZe?Ca|5()?W
zI|c?AII0J@FE4qZ{j?krGEzkf1D(w6XoLtgJYor)yg}6DH)XTsWCxzA;@)Q$L%!Y;
z21)1X4Rv)~Ib(Ut<cdXcEO@C>$ezQoyUEgB8f8DL64$e>^WZ`rnQ`-u58pF8J(e>7
zapfMEWt~0}Mwd=nSAUsSEcO5A8cv9lp@IMW2^T>U+Inv(6^8awIz|japoB-(J?#VS
zl0%VG?Vp0K@Ly~T)vW}mJ0)=2oDZ`tp|xN9?w0rky&mZU7%!%kJ{7Eu5`;)7Xc`?Q
zyrywy63M<E=Xn~h=%Onh$7J`d09C1BlYC^VGTT^B8N>Z)snCeFYQ;tSTT5O;cdOww
zBqMLe)AM%)J@(^JC=-vA=Chyc`Pbpi%wZ97NW>7#ZfZ!8=r0F`;I?j+VfL66M-I+3
z#Bs7G+|spA%bE>InE0O3AMlIXn=6%R5y#6&wlvAo{_d1IU|sGfwCBwMz>tZ|ZtZ8%
zAgp@%hV8Y23Hp=`CAGN&NI_g(Ib#YNX3gR@b8_tbne!PLB0SEszDi3_St^93zXu3~
zmpG$L>AuT1pwO(Icf4xV%~}@#0D`SsjXdDE>3_4d?S9l;9!d&*sX~W@g@xyxM(g(1
zDIWfL`ilYn)g$xsKd&EfHU9vUsmtXmxb}ws_XMab$n%im!{Oy?=zM1s6!o4O`b4P%
z54~-d7{r6ey}1h_9aJduO%?Q)w*akN8jN0f6q(`5*gcYH)yC22tLFBYoG3Gz!QrWH
zqAVC8#Fa0nsFiL0U4p9z5z1#$=+~0#_n10Oe5aNb#$`;s@dEwHqzi+o^r03#5~gp?
z7v^H~FXaAv@n%Pu=LK(Db^mF=$-WxsW<=<Y?wJkI3xP95&cfls&J=Q;V}(bKfG|O4
zIAdfJ(0jqS{EtX&A&rUBvc)_e{d?`}A3q}K;q1ba-9D!A=gO&0pM5V@)XS*tU?7o_
zlEK|<TvsRqV}Z_YDf<*!0yaZ6gT(RJQSN-0kJ&#RFE_rN%IfNg-k?EO;`o7k`*UyU
z;c_fuYz^915pkU3K1yyeRMbFDQ#hf%rpAStBIEqzZ{R~!+aXx-#zme9cd4_$E}in_
z6^$_QGfDBYM~(=nO@i;xyN=Nx3mH@hv^aEwHg(yIT0NHYfQ<4Zwc+%UARvCODSkdF
ziGBAY@$N?eC}IA!b=|amc)0ptqNnHEk8Hlo_Snqb^F+jjBcf*9pcBnLzD{trVfDAV
zXM~&X#!SUKg3Nz<E(3-sW3gY(^c7ZRW6jb*RaMoTU8C+1EjUX~iJ;ioJzJ?9Ux$CO
zvC7gbHf`1!bMw5-mTRD7KsXbXe{ZaL!<c!lP{}x6P2v}t*+0Wqc**Lcc=-WJQ>@`E
zEB$_SOHSEUl2=K*TrQ+!cz$>-re6k=`+i3-#awUv9&%fK391cV%94tAArOYr8=Qq%
zNX!f$f|nRySX_LMgHpuE6cfg&b8_d`VO&0&=etD&7I1&`j{r$Lb$_m29x5p>$Kg|d
z1y*ezHl4%eA3wfu;w#z*{`wkjcDje3$Bq;oi3V}?dZ(5~XnMO(p9VgZj8w;Q60jR<
z86@&aw{DF7n_W2T`=$ue-nBGfEY=hSkT*r?ns;MA6*UmPO7|u`lc@5|WVhGT*VnHr
z@96ZWGy`m4J^!5lFf&3a{)GZ6Ni1M^<s7x{RRLN0;9FPf>qj8(<89uWEB-h75n1wB
zVgOvTcqahHH8ss0c=7Y|$8(DR#S{OVi*n3v$1&&l1_AVpjAcRR4>3z7(iJajD2xBv
zO}@y6K=)&U<{6$&f>hC(cC80jOkvN(=*zBA0}R5@=%(q>xOh&fv$}i7CYBLDB*d3B
z4Gj&F9tHl3)}KX8`YWZCQl1|H)9+KX*Yonz9wOuu)&yjOe?^=HNL%fGm%EbDqe+K8
zO<jJ%c2=PCT{!dwYIVsj9@MSI66QiOlSB7L2W_NKjcMnrLf>b^*L*b8$ZCjIVOSFw
zr-3F4L<8Bqc?P+M+^iDTJD5^!$<9O@w{}9Ua7{FP)C;umhOOSNu73x<uey?!+7ff%
z|Cypq&=Y!U5rv9M${2u4&`+4r<?ZP?OPESK<SF}QF^FAwP37`*!>D9_SuTHJDX0Q3
z0tJio%il^8tVocsOLzVmk133r_Ass{fu8qSxaV95n7n@dh3zt^6BdN({Bz|OzUUcM
zzeUnbtU0RYS#INlJ78=QT=p1LyTVQ*DT4k1vit2>sd(Vw&lZ`Yzp3I^sepym)%>B+
zwNj((42Tg>0I3583csC#M|wC=koW<Ve6SzW13+Qh?|F-2@(YAQq)r#_r1|<%P(Fel
z5^@L%xz8H+hpW+YQBu&er_tXF>gwv~Sl&C=pJvdlw}$d5r#$)4l2Y7Wm8da!#0>lm
z4@au>bap4MX??ruwydM}yv+E<^Z@jp_%cBQLAcw33y|xxtIa>Sla?+!t@`9>*mtzF
z2$CoMdT(aC{`d8$5a#qmJ&&X=b%6>T$V6yZs<*7MEhc=DI3u8Mf~#+3GOOhh_8L5s
z9i#F~e!C*qMOOMvosTtW><gyBsnLJdocfmap;-k)#<^pA`$LEOI;pe13f|Eg9glLm
z=Hw$Es{y3Mn(v-iQm^xlOX^*G%+1X~Lwi8;@bU(91mX`L@GSgsu;HsnXE5aOHv43?
zI`{MBm}D<#aK?eig1(_4EOJg&{LUk2(|#2X!<l7GHAHm)Q(wq)0`!!>Am4utN1v{L
zIKp*S8e$xA&pL+-`Q@&y+uHN@&H4ijP@M*D=%pF}9EK3%ll%L)0$=lvet&Q{1_mO4
z!1tNFL58Pn&0`Y0eD$5D!{yg2^=A%8FLZ~V{UmeEFK8vVDDUqVGa-!f8XnHB0NlbO
zK{qJ{-_2qC=oL>;fXaCo8GqMLlqmv@;m@!HOT9Tqtun2z9HVs(E5|=iMdm%Xdl+z)
z=~IU+Qns&dt(z`Cj(|Z%2s3=vVW2!+!0=w++}WE_3;J|3-4vz}^jxd)Uq&rXA+w$)
z@1+Xje7TWSi$wA#NFpFgi9}eq++VAv#{8za@1?jBl=zg?+|2kLWJj-s*nb2$77O(?
z!3LylN9|fXkR5P|;E5nP->jmyjpu+?w5^D(qwsROVHht81wZ*HGj}_Re77d6P~mie
zaWYf1#I4s_#_N1&$O264-VD43IL1FYO{<cW6tOldg%cf}{Qkg~5SPGeg~dcFw}q?X
zz52*LS}Jjx@f=Xk1$?amh#Yr*ZVoUnZQfAHKc#jf1r1fZMmzsp{kgsP$CS6V_eC)f
z45)4*uRL)WQpMS6uei|WmM@p+lf%XHJ^!?E>z_cLYjWTzl)JLk(C3^-%RaT|ctH}s
zkuHioQdg0QPVJZHy)5OFw+(!d0JlzTHIFdaW@>UOg;cBKdw}JaKCM3CB{y^0=LD~V
zz6g}d6H%Lc(5za0VjsfOT>1SS38H3+5`;Zh`mni>)!0)V$<>i1Uto>Zzc-{wIwrDY
z{7Rks4$kD$XCq!g3SF#;2FVaqL`YgaYJqZ8krN$1Dhyo$3+fYqZ;c%Uk7}I1(~Lvy
zOsbn}6iM{A($z=(nF2bSr+lKMaYHU5<krh}BudQQ{sy!NJU!E+ew@mVoklt-xsKI2
z2#}V%AMyCJCl$stNhB#?HES7I@cBB-n((r8S|h`fANc`VySa}afdi4aqxP{K?EMA!
z+}xhb599ETQnH7*2lc(s=OT>CFTE|>GWL99ZfOZJx-Qft&}+eQT9I_>G_t>o$qfVB
zky*(;5a3X5hv(r-p8up>yUzZ&Me9G(kE9Uuf>nzNUy5gdg9E*_C<*~(oM>A`opCbT
z)Z>dlJ@cH=sC|ExEGO|;8Do?!ZrsLqHr{VhQtt52=-GE)$Ra@Vql~G}R{F68Ljv2;
zZ&U|)6K$2%Xt~969M;mG@Qlay#$<k$X7D61V;y>-4a9hgZLb4bHj6dn?M0chx}C3-
zof@bLqiu)|Ilt$&_u;<EYg3{)p||#;p!gMd;FZIfL1KmKL_A>Kw_X1myhLESyVBQp
zdDmmQhVkLW;PU3Jq4qf~V|*clPODqTI_b#?3#Wz}IMoB|@g#~1VCp}%@YqBZ248`T
z+CvLhW!&=P7KvWtR@?4hja|aH4{>`X`l3KiqfsyF6)HseMc$7V!r8eCd@KOumYw(~
zPMIdKzi3J^V%UXo(W6tpXDn+NuNyrDV!%`$r^$PK8W>yL8x|PwF0_>OY7PfqWLvYE
z&l2p-q?JOWK8X}xa|mn*jO*}WoQguG`IsCLQjmm12qL8#4MaFbNHRhvDu#!^IVoX9
zpMmmav<y|WK)J*x)jE~fmI;-slwWMgq_uh0Zn=TtCLmiPVVuoGuax-)o5XxT>#!b)
z`Zs;NMr}NtS=m56KEvl&hs6Jfrn8Ky>ifR_r5kB!>F!P?E(l0TgEU+kq&pRm?(QxL
zX-SdpZlt6IK|&A-pMAf-=RXFH!3%tI&e?mfz1Ezc34BUC*hAtX^TwJbOH@8px#K*@
zB7n%vYxPC1N8z}>)mYYM8ZXvN3euz496i=+`R25q^F|LhPL_=RVAU5H=p>fvpB8|v
zu>L~gh1aQJdn?86oH~p$0zzaiL=9UY$4?!DJ=2D|ubU5ORL&b<y?n#}VY9@=URBYa
zlOt8BZmUucbQ3yLG#Xc`SuiKtj@yf8&^yX?->*pgS?GaC1tS&^=<awYxNw!u8?c`$
z<|-xc5wYMAMEOJtLWiZp1;~E5^nOf-7MGx+qec=?^M%Saqc99@h>cn2T;!nieCC}}
zi6s1Vu-Hk@hUb$fd|A_w>?hXyxh_JkQ;6_)Wb16OGEc&Y@z~W5fpLK{^APXG%>e)S
zQ@MUXbfK8?vb8-LpOoR|C%dt?+L9^^xzWcvS1)uRenYrXq1nopjjLyI$X!-8i^uA&
zb`Tv6EV_JcUgdYlXjPGKQP&dF(&t=_U&Q&GV&~b8H2o+gh^0G$%EuS=V$h>AL`7)7
z62LEk6cl=jpB75i8y8iiIjY=-*YG&%FJk>S)bXkY+1b05Z$)A{EGd1R#EkGnp))oq
zOLlUv$M5cpy_$)_3lDsv$|5tpNsYz*l4m%CBU56tJ$1nZ-*;lhz)LLmtLdkI+3NOG
za<3^G9)52lVn8tQAU!iYB?2nVi%=*V{X0r33+y@3Uk3(*#0(l&O|+ZiMAq{5PcM=(
zZMFmjtG<%@Xh$+JHXXElJhJ-wo~#Z<0Fe(p)HHzxO=zHsj!5xL&*wY8vZm+^g4GP0
zCw;QJTZVZ@l9%v!DW(b}SlvdQG3G~}XvbYY*S9xyOK%M|Kt;{=>O&*f0Ee2!6UeYS
zUBF9~c+2vau8A0JHZ30oYL8}aNx{?}vTfHD45(O~MPuu8>)*JsP@whrk@!vCPxjjQ
z{jK`4b-bSkaiSGCg{vl>Y<)Gdwg`t|gw-(<uY0lZ_lUB-?=(Y2$BZaRsp~m#(qFVs
z`R`QWx2+l4si$G1Fyc`h{$+<f6(Lc)bI#(Hli~vTd~OH)&yrJ@>thySnb3TCVM|OU
z%u$j>_T%H@OGH2g(yyZhJr>`thp-iCJTUrKEl*~^*bFFQaz$%Kpd>mKd4id{%a{KY
z4c~@Rfb1{XXIz*(dyPf;G_|J2r|0%ohaF;yDT)08QIr8;v%$mDoZe)?f>)C>CjxXa
zpR7Kc?8_0^t3{;k+z7C_6J6F07gOw0F!Fb;@>9Q5^_$YqkFp}p`}p_N$2hBuNtkwu
z{gd#!#bwhGWj2A=H1c{B^{%+uCXr$v$`rgh%3lI^?t1rW%`b^M<2p6pw&-?)bL>wX
znG3~k&DH!aBy>8zX)H`98|Zn{us_-2(o^{^gx!W@O_UwC=h8&%cn4u_c&uww3Xoz~
zNo>Y%9GKJl6&VM+yIYd#hSP13ijE03uW_{JXoWEmlbd`^?R5FJLDRx<jPl<oN?bFE
z0iw>A1+j|3fp+O%-8@URg#4*UXzP1N^SQpb<LvHb9HmPRyKUCB(9mUUP4l!zA1J!A
zUx2o*{p7~R27sygYYWk_6=9n;`lAnKWAQyFg5KM0$CoLT8&p+C6ag34#F?%Tto`Q#
z*MPnK3YjCRYegh>A|@VTx5zdY`#@>`aE1uP@*8oP6c2A5aj-Nm=f^_2w0F7?;eL(p
zsOt9XES0M^joj(H6U22nm#SgDyT`1Bq)}mHb#b|S;Xhnk7uoL_nZtc>e1dy<KG<T&
zv96!f{HR~V<-+IF+|^<!oggBQP{+$|9qO0?G|H7LzeaYGWA?gUw;GSZUYF_le&hof
zf9Ei6;wUBg9n(d@)AR6|J}2Q64S@c3ZSx1pFo~&yAukY-vaVW=v_4mO$vNX^?v0k7
zLDswgtF+Do&Hlkop^||NU8JZG7u0sFpS_i#g+@i-oW}a!IbY_J>aD7^FfecHN!h2c
zv_QHa&5vNNvr!!Gkl*QIWi@&80PKc<o8jqK)|@w`12*I}_a!hY%z2g0<>=((+h<KK
zQriG6klt2~)xEO9fBW~_FZ)qXOaZ~y&_l~DOa1-3Zr(wa8@<=h&cmQQYHAEWRQAZZ
z=r@KRTAoOhJ4@Ne<zdpuJU2^ats}e$KP}xQI3oLl;)_{op#iHf)qrJ2$wx$w@6yjy
zRdqo_E$VH8ZHZ7WMJ()>9d{2pyq$ad7$XpRTyi9A7!*zT-XlZs>g`4mwG?H4qS}p%
zqO}Ud6!U7)Sy$dmAavq=U#_<h2l^rrN&+0`9`7&M{JJkw-NDM(W;5oV)Q;|!&XE!I
zBy>*uyFT|O;*M&aa%knu6cI8=3c=gVDs0Y8ZzFGws!3ao)XPl9rNMC5n0biaSl8`0
zv&;bOBt~kk95LUkmY~1jP*Ze(fR8cP)|j!|bewa%VN~4JWenywDN|s9oWc8oAkaY6
z*W8vByYE08oetb*fM5U<_Zyfrc(O%(2e%B+;rhBY0t?7I7GOl)Rw7ok#43u)xbiM$
z{5;mZqFKY3tgn7HiTRSD)}ARjGSb)Hp|vlq!*#(LfnFs-bLJw`sdBw)%(wI}3l2|w
zA}`u+y_VEMjhSZ_?-P~u!tg~CmMXXlS)|_ai5`*pMywd{kdeLkz=ua>ij3WZtT%6%
zy!%Le;2dLSINZPed?{`RomRt{D<dq=VPHI4>SLj&(5&?<E5zPZ8NMtn+Xkec5*EoL
zV)*M<8|(-EpgIJwiMSn(G3ZR&8pXl+6+umwgb^zjid_m48X`R<tv5eUTx5&5+KCPu
zX#ELOJ3p2)3#02^w)6E_8~jP&?kSMM?Ma|#k)lDn@U74OyjR!=Xh^Yp!0WQvgak^|
z#pe_~;4)>6`7W4O$ik3bM{7G_h4^>qc?tr=a@ciHCoSEv&Imp<gSvyp%6V9wOOgsH
zssKNeR|HfDnI{S@E=#C@bnw&I?q9*kHJn7%P`4SQIbVrnI@7WL;{wF+CE9S=g^Omo
zltu<9{U}Q>iq9(kYUiS_;iIj5x8)Fx!qtT$Y;0aEk~IjGY)eVn$v%3wdO@37fe@T{
zVUs4!x->kx7o}ye_xr?uAx4A5#$5bUMW$L~rkW^un0z9>wU6UMti1yeu#~Os+l8~4
z#oRKnJw?Ldz+X^5d?06p3A%TsV$-P1-G<((xJ>r(I0$9W9IhZ*RvNyZYtT|ev0^Yp
zMjpf{Nl9|s*!5v92REv@Y($V}u*&?w5A=%of&^$WAjBC;BNonXzc2(N$$!YuTdR|%
z5UAMy9=^D^0Ai`1kC=LOUO@67;<i5yCkVpvcih`Ypnbb}_5ws+ymWLL_QLt!^OotC
zFP;(iT)NI=)@|sY`x~q(U>=^~GDEC-^s63NUUdC3z&XcV9QY-_tn&S?71dO~{NB4L
zJUXaGXeA;il#EHXQDoxt^;I*9v`%itn?H(2%UYEhm|Q<{(hD-0e@|+7cE|8SPA*d8
zBofBdnH~&vdi{mnyONO5x-cLmA*(1td|?*uabF{Zjk=Hua0=<l<kWeBqG<W6Xp;(E
z34SeYD=9QuFT2#vDt*%rHk;AR@kZ;N&*;ySW3kt^=S_a*pI__oZ*2Ld^6ANy)U
z!cZ`#4v{L7ljg7_`|LzH#EsW81?(Xe0j~CE=YrOwB2V<T+b{o?i7XIw?fW}XhDbP>
z)0NK0qNu+r)xblp#}}9T{CymvKnMwj<c3&e;HgHs)JE<L-jlg<!8}|ZK<~7{?F?)Q
znEyS(A<&bHDq=CeFEXjB=oN&b<2OWL`JB{(n(?ilq%|lIvcLvk;MdM}fe}InEyANi
z1|<1@MZyGHD9vax$DB0Y$qQk=S?j7*P|59n{PdNM_$+Nf2!YidVh*Xu4n)JX<ghXK
zQcC%R2k|ch8q!lU`|LKlXRit{>g-JkH>y9b2Q%#g?F+ROr}bBI>{o`~6&hEA)jA2o
zJs2Kdf-lA>pGc96FBNGl(x+cI;^=yJDEVQv6J}swE<H`L*?&E%f{&EVtHxRrLT0+F
zE%8CEqkQ3VUaU>0Mu#GPh)~3%+fQt9mX>#J7D5sZAPoNh)WUg@AyZ4ymO#2{nD)En
zS+<=%p}v*3dH=AtAr>}ytWucU^Saqy(lO~%CZ|fB#+eS7e(NxNc(PtkY5@-WmFowP
z`iY=Em4^UvIpIpb1dj_eLF}GPgDrDU25Ot7%0x&v8H{a;8yD(N-8F@wPO020BQwd$
z9`&|1gd5xQ0<y~7$1{G}$v9V)*MFWirR|g<Lz4VVijMVV=)2Iq7#*MdI*On|+B;-t
z-WsR@@@-!E%VuCaSaFZP*<Fp%#aAeryf1B1kGA`W$SUQy63ear;Oc;mueGR?4Y5S0
zrzduvx+KMNPojApmxm-5oSD+lf5E#i+D;})O)jl;>_3QvY_33;uMBltln^k<dhEq>
z0qrTkQgZXO;aip^3>}rD!K=k9I=Q<{@m9%5#FH6E@`ei-`?h&hGy#{U!I0~%gTu++
zKq5IK$lR^`35Uo)$)2np=05$(vnduYvpny&>-vBR6NQK`In_}=7Yhqu{_h;38X$H1
zS&e?+9}v*B?xa>eXYS(iST2AqyEd>6F0IS|HSR_l9QZN|(y%)Vt8Hu2&sYCYL3(&s
zmc{wfqN@)F#V`;Ax3$FAC0Iz#YL<?{fd#Ty%rF1`z%J}xK>nr`!t_;|LI!EsB6@9^
zIwh{f^w464yHf#6c-3HXvMk)scVDBf>P~ZJ)jfWwx_6?)4t2Js(Qu+KJK^caNr&jH
zz8EFn1hPEyupTqxXkL==LSA{+0YQv#;tU<R$r*@Lq!r=oNLb%g9lDa+=^tfnxyfKx
zyfw^5j%?NPR@b?-hz5>Ji7C_ZL`<?4cU{dwHxjubLoV^Sxe+8pQ0+z7#I*U}URd(A
zwTPM^PMbUj0H2nI1_HT6r&d^<u7i_W?gCqW;Mh<}PFL?xsUN`A{=EBDqr2iP@@;(`
zv{4?_pxAxRwzeaeow{D8i&TC8eVrJCJLe#d7)+}L@*%cD*{Mpf$BG>h&u;Komm&e<
zqOnmnms!a$H3`4OV$x@P5!0PZ%qw^J*-pv6AGxWdwVa!Yg7xqdBC7`Bj#d1cfQA_x
zF!yCE#d9gL%;kmfAmj4WPSHDKy58aKZuM7dk&1e(mTE)}bxm|q+9RBQ%FWwhlOeG>
z#9*5~%=(cwvD@jz&DU*;YOR&~jgg@E)?Nrk?)*E$HiRS-J+dS3Ks4@s1hC$*mL_3%
zWv3SH@J$@Gb$fY`d)n3ytx;#s+a%Ds2vFi6TseoRiyUoO&MM4Zt;wr{a>RvF7gg<>
zb|hCxv!Zg+4&6^O&GGMF@w}<$KdkPs-%MZ?Ocr}t-_*l|apk@SyMBM@U0(~l$D9G(
z=QlMZ5Fns%%Zab`=Un{Vu3%)f@1<Ba7*d)HIATjeMUBQC5jNmg9#W~Brm2)60R(vi
zWibb_t{b35=AQn&Kj3>Y!u$_D<8}iOE+Cfi^6~-@0DyrDhm+g_;G|Q>{0@_JCxB%E
zGTHbq0N!h<?+M_zkBe^~7R5JjClCA<;c#VmQWpTh{^QS8h4Z`M5*^{d9bu=XgzBgN
zo7c9GSxn}LHnz43E1_QEo*{=)3Jrb$(=wn3HU5cU0GbZ2vjXcYD<P9RXzLYp7nyO5
z`cr5N0)8etn^@5DbzvcQHTBxpae79)YN!jvuI{2(^#OHnxTc=^0pR|vuQw}*e3$*1
zGsDiu(l+3Y|Ccz%jxKumS!3$AHwFocW>w9L+jh-j)M(-zQ~d^u9`Q#_Qi>6n56G34
zWmzJc^*oA$$6d<7*55}HCr&P^;yy~C(L9MxIKZG`7etDTsplA@p@sz0es3RE#LeCF
z>~0MjMVv2MX=4y-`L(PUk4%Ky_pTmcUh~RQU3|E_>+}e)oM&feu{u2lGrpSkc&WYp
zLm1*doo!fR@FE1E37H*pl5g*D>r|=K_1Bg(>z=z<?#r{GcNiZIPMJh1(sP%s|GFMT
zIu3~j-iy#FvBp!1HthK%kCb5X<kx<<R%G1+S~KAPUFpVMWVaKc#6?AFyXy~sfuqN}
zsQ~c{+x(f=9qRqPKk|+KgbVxgKVP3b2LL2#Jg^P`vd9kfd;b%}Ccf<c6~^uVoiP7%
zD!o5owmrgCKE7RnpfwLh%mKG!CV}wJ05C=$NAmASV#R|VFZ2KPpgo5`K#^&i_58e_
z5H6Dx%bf&VWp9cPmg{s3MQ^_>9nWg2f#CRcFC@V6l=uawN-t1@?z->|h<a<@JUh#n
z$bq5kV`s`zBUM|tb=B8{X;nkRg<bp%IDLp4z=*^92NwHeHKQhAhJs;#1RA4pOyzyk
zpS*WySo8F~??_!*Pk*FJ87Ykoe6IvWETHAv$IC;3*b?*_2lk5#G-&#i%|1UfH7p$=
zwHLE#w%j*AS2mdH8ZfAl2QGdfRnpjaqxR+XqD8pCJ{F-d_p~%$M1pz3FP;)b1M$GE
zo{%GV%=I~J1-{u(O-@2D7fv77$oNZ%p^`Ix&Kc6;q1BG9Zwm)woa>@hQ{DxXR-{?|
z5qWG+{+KgR;KC4bULt;>{`5UqSQB-!ta-HlnFv5}fbU`M=nC9Len09it=n{$@+@mU
z>WQMD!%VAkM=uhA;9=6@6T5CLcK%~Nl9LwUO6*JVbRFv&VM@SEUbU;V%>rO`A{2}9
zn+G23x2w4uzMOPL<@tf_%lChIgCy#9ylZ}T&a-!hCI7ntwWy;{n_A#SG8p=I|0jl(
z`9CqNal89bWB$Vl9IE;t`PPA6I6ved=ifd+q`!RecgBZ5Obzg?zub>~sZMD>J-W;V
z*iC=|zDbPtFVSMdp8;yvZM0|p>Pmnj)3zCRv-rU>;KK<vT=;AThCNps8^-CAYAa>o
zWO$@oyqIX|Um;f^ykMm4;0Z3vb+$^tN+C=Qo+cV($pawvKQ6S_i!8c}p}Y(C=PI#`
z0YMsMJsi{`8QK#SL;f(D>7A(Kv|a4=(E$N1-SiF<ucond?)V{#@|)OFnsQ4A_tzB;
z&;>HA>;9RfF?)_^oEQ1JDN7C|>BsLcx#mW<RMYG&P+d8B8tWYfIG`4Y{P<cd?g9t&
zEyJ0bbvkf5S+1&|nMn2op9Q2~`wr-JN7=;nXOzXY^Y|Gc5qh7)*vX;VH`p_bdM3PU
z-)!PprLKNAjankm-u^~m_RL_dcZp;V{+Hk77n^!qg^Sj`xN+CHFX?vBUHA4rN;U!s
z;SmKYU7FG&gN*UIl5;vxs_Ck*Xtqitnoauwa)neOC!t-bpwLu+*<AFDEmffjZ{`E}
zY|3(fy#3wZzt0aQ{q{SjHtZi>P#z2}<BG)De&4-+z5+m)EBxKvZi^fCbto|ekPFHC
z7cu~eXBus-+K9}(x?My?;8NCDUeqR_(y{LJpZDUH=^$#{$+x*-7%`Y73K!AaYH~;l
z+I^<Rl&o5AvE~VUNkZ9ju(S>%<K|kr-?3muHg4d;?N&Z_l#96ql+QONUb}Dx=m9_n
z!w0EwrCJSi>}E6QAN<^)LS8!yIP(K6>$5<(maw1sxy#Pn=AS{~M{w4_9<8DGaP93E
z;H!86Zbtwhb7BAG+TP1fA?%G7@~<$NZ6`tMcwr$S-zNM%(R3!rcyLb!oAB44=(-fs
zN=cSra6LKMJ^h}O2s3PL_wF&3UAJj*TC^qs!b3+o9|sf?;M3};eZ!UhrbeebrmR`#
zUB6)I56YoL4O9&~Sxibt!Iz6U7<Eu3)v!<^=k2eVI>&>Sr6ZPn)bT$bnB#pcurR&>
zn3+qAvBc@S0Ra^sCOTrRxX;^dzCxk~I8XRSW=_K7|5SO5_-RMpCy_l<S~A?>FF^fh
z|13$$!b>zi9+XD68(Z($N~G}sFgVNOe)#!wR1?V1mVAjuQ`XAHyS9t>vubxb*&0W$
zO=<1bHCqu`DC_*^Dbj*ODpd6ldpso9E(sn$?h38pQq6+htwY52ae6;!Z1zp_*ikV&
zOq~9a@p>$AT=QWU3C*6u+D*nqYeY38b#iq4kL>m%9|!s#pOc3;Gwvz%^5*6XFd~U1
zWC`mSUKkPVRJ_84kdQ~}GDn`KFerB4PP~17y=(!dC2<zR2WOBx@9&XseEz~64TkBE
zi|r>tf8f3eIGp^*-FMyd0WNv(x~_`=Z?qc@Fb1=k&iArx--_shxrs2nJ_04lu;p;W
z+vw*K0j;Aflzkk$rIYBRJOiojdtp@8h3YKdS_D+U3m%`mdBc{+JwTGh62)XIw7hWv
z>k`khujtPYG7Sm}g25O~h8g9px~~@vvAlMLm@@?z(=<k1C>Q)aDzzFM*WhLzpSd4S
zKAg3T%%6T8;cT=xu6fqz*jw&9><&)I*6i(7&z&0{R|u!{KzhdUE7b)B7?s6Rh|zkB
z&nr7!sgc5q=tSQP*YcQKkt8#S+Jppt!ZhMa2X(5m#Ez0=7#U<bGwpl}&%}0yI>Y;U
z_ow5H^vZ_qSuHKX*Qk5*-WN)BCP_;#)gQ*gZj;fr>lc0P?T-uGB_KWbinP$;83<%k
zZz<5%h4O<L`Zi4}@vGN;7i*q;Cz9I~_6F_c$~g@eP9%*u8rBljAcMfuGeZ<x_O0tk
z+2^X{Vf2^E8lU)jctsYv%CUdJEaIpovzDk>zQtbTlli9AjEs*%zEA$l@CK>#n?PU!
zVEvna)W2+gNoD^Q^zUJbsts7MQURP9G!T}$ubY=7-PcEa<S;gG&bAUTTPx7Fu)=zc
z27zXO#a#>sq$XmJ_6gdnpfk|ADesOE@X^V>J}L%pstYLnz<aW;v6;a|paGZcsA^|t
zy&qg0F&dg~qmx_p#`}&4ySaQwJrRyiucX#Aca&o!1zUy@)9+DH9R60bTVc*!KLCmb
zNdK8i>!b>&Mby&v-I0xBqzE6%V=ist_{c>Vi46&Py{0H?l{%V)SFEQ+O4Fm%UyJCd
z&Ui>>hCtX*IVSL{bHwt(K~Y1y@)^r-f~0U-CDc)O3O?zz$<R+IB1x;~aeHZOrs2ay
zZCfg+xz$Z<Ww)k~U<A+P*?GOVo!#>`-hCkHIv>1o5a9PrTEfV`{vtd-8B9HIFvQ@u
znjO&oPKvtAFX~$Rjd!e^wLzk-CgYtx>vd~+=|Z5V*?<pIxY<69(qi)8=c0RCIb?`P
zYS7}MJ8gWM!Gu@1VcPuetT8h<?x|sNrDUt3UB^B{aa4ZBFSx><sy=^0Tt9KLskcf)
z7fsq(eo&QH-qqCwHcoG`+`vOXRR#oRc%^37%vRdzel%NeG34Zu`_J_3F9Pe{__%WU
z+(`OFori_5!lU2L7RhlOcBON)6LT;iOMyaX!paS{_p-)5R=)Tw@TLRu3&`j<_YX0_
zHcAd83joZ?m&xOn22&)`GgV|kK)RpyV#MM>N5+PD8?9Qx*CJ<z4__wwmJd53gf6NG
zy;phzF(C71u!t;4>_nBF@6D!oGyNXO;p7Rr7=28JBs6R}r?~DWye`mR&N5Z?a#+qU
z5t;s*a|SXbz-%b{nwFU^a*82^Vlc#WXmwPN)_I)mRT6_@f!k^eHbgl#K(y9X;7Y{q
z7~fJl%1MnAuc~?WI4uba5j~i(G=>D@<7<uAH<cyp-A8`u8dg21q0F(1Vkj20w0sb~
zG&&Cb(JG-V?aYa>D+fAgX%Tr{wz1E>!+h09zszimriC@f?(9bppnI87HFwlcvH5ZI
z<dgV7IdhObpY5CTfd^)f<5b^$;*N(#-paHnS}eg~WgYQ`Tpu@&%;mv&4J3$Q%<=3h
z{g2X?*o~Zk-_LCLG96|O)7fy=ZLM;v$dt8Ty(z1`VH~)--o}hQn|W$ymGR{Yl7)1j
zj(0wvr`sLm_*`cD)O@Ywzz07v@jQ#|aU0EroBiwki1>ob7F<W^E*3BZ@>JmFqb2Gf
zRjl>9yE{1TzWHSg?=7)Y@%lOynZ`DWWGmzmUYo&nNG~4$?A)4wE5HT(o(0Fud(7SK
z0Q!9QvC$bKOWGIAuwE+XBk+BvbK%TBhv1Q-G6_^y$PD4cXrA2vIyy<fg76#P6;SxY
z-?vc%2Ypck&u#b*|Ku9>CMY5VV|AOs%8c|QpM8aUNi$5p_W0DwSoBE9%uo<1Q<W-?
z&t1$;G^IJfiTV{cSBMK=qj1!Nw<i|pp-RvSjqzEvaA4t=revY;V(unX$9~S@m2nrm
z5MV%LPtb^3(Vac?3qMyf46*qPU2{C;cg3t!<yVXMyLJsf9nN}@QmZ&ko2J-K!fcxq
zj5DPZ-UaY=5ZRxT`exn9_ofzKP>-UsQi_f+B5@%Rp%I6`{@d~2xZ!!gL1aX;orkS0
zD>p1lIEt|6LymRPO%DBd5|!~$zQ@^Z&}x89#qUpUVq>Evvab?Z1lcIHdX1imoY|t4
zrlADvQH>ceU(4Gg{nUbyd<e;3^lf;(bjN<K|C9hNsWQVud3sW)wPq*oJbe~Rkd(T!
z7RzPKJ=HW>iiq>&Yfz|o)q#Fl^vuXa*IXt2s!mRNXoSK~CdPb@B@aN8I~~T#eGx<r
z*|<n+HT1fNhcGxj(1CjG79KNhA75QlV_Or3C(JbdZxg<t^JF3az|H74{JW^D*=_@&
z>+q8oj#Y<m-#~o&h#aoVLWKF>#S4JJ^0P+taLw__riH}c!7|xGco=<q)NT6t$xP52
z`Y$=1rpCt&*Lus<S%^;QZVAwz=i=2ihdY~ATA%h`^yDEREbsBG{oQ;8IDrz9T+t<D
zXZ;K)$whjYVkxyhmxp9Js9b7B*X0glpl>iaJIZekQ+-^!7s<gaNTZUaly9rvWt6Xj
zNSl>h&_-m;DBS|F{-p{to~=Q??-;R#A~MqQcj@fATjCUrL=tp~d?(M7g<(4et;nxq
zS}QWHG<iu%<TuaXq$hxZsEPNdMz7I<Y6bxa9u0&vLAPIW(7v?>N(X`P5}=o+q`1Oh
zFranD?vub}O;uXr;u~;Lh6-k~c8;uSs4$@uTa1GU7hzKDd%Nbjqr>gR>K)w%qr_W0
z90vg<0>q5ZAE%f5F3r!iOX=&L^f?Qw1YF@@kJ@@MtyRjXf5*dvgqdojkZCbqNb)m=
zd_O`^py3&b`SC<fTxG74$9S7dn+u-EEsQVjS1wj*O^aWQ5PF+jdrU3rx~uAeGj8qU
z>E%@?nZYmuuZQ1!8HQ`skAEx!oo7DMe`@yDdc>fY;aZ>NTFH9=P#M1G)6qfw|7?FS
z`S*7TSS;c3Bw(Hm_ntn4gNz-}kufp8X<vGP4jHfz8RyLkNP-*}+_!Nx+aQOQ7y|;a
zkZmQoQkoEusZ_ce4SvQv4WTJu*m{m&Ji@v;$l(f>d8fiI`!+^pXZ7lW_v6t^G9Ifp
z5cI{J5dk3~+eA+;1`c+yJbc-m`PcS|12Vo)c@0mN4tHanmkpvrMhGX)4hiIJU7!4B
zPLNwlm1b$29d?PPo6eSE{k-H49L-qBCtSQjye^k;VlE`gw`0T(|BlZomz>B5IGpp_
zk73Ka691a?N;;J(TO?@FCs&3(B*hfTT!}c5!6%6be~;E{!<-7@um<>`t5zG!|D?%`
zkmYwH@#rg#XRD)qzv5o-4-Hyvxwhr}(^k55*nUY(&F<gQeom9vw5Tx(<d7>X`n3Jt
zzLf}sqyG3fY;^Jfr4*bdrR&OJ-?A7h50@ui?2Uc<5<#LqsGXHYGybm<*&d<*!w5Fo
zK`O9n%3mpshnTvAS4UPXUwX9K3y=dZ_L?2&2y_mG9EgD7ED-H{RSkiwd0$+D-o?=?
zlfS8eQw=u?q6P<k`S<lnptFU=&LX!fz|qJ1@6yAyqL+$IKzsdVta0-nJZUD39PH!k
zc94GnGS7>S2>CMvIQH-|`t~dQP7Xw(*3bXW#9#Y%wRZh<1Th%@?tx4FmRWFCrtp`m
z2iVU+3=COy$H8I2OZ;9vTtTawUtOI1^b>~q-D$LD>c~!OO-<|Gz$6#s%&iBu2CrOy
z98ptBiq^s;2?))g1mB5lvic&FFH?E=tlrL`f$!i?-#B~mSqaiaL{(8rQ)p^gXpaz-
zq?}g^!dn+T5z{x%#kgKI8kagS7qI1Ak^6H))Apyg`j^(VHM`l8w4W~_;c}x<kVG;B
zD^s3`oB~&d3{NEi;uHi#UMmhndd-jK*`%q-4Gk=`Dg3@mrPBq1c#dx(c;Hvh?mzio
zU}M06qC+hKwkDQRPmZxEzOLV2<kK|Djgs}plt?&VOjW4q{VaoJyzpTk8M#HPxZQUl
zLLw)D06z}?j7yGdn?&A=mCZ*dddg)=@?-?aAu^=N9o4ffls9h4uj}vlcudMH{vZ!u
zFw)3Zm=Pv(5lI9agoduc%HImYsz*bGKvpl+|K2vDcYUnoC(u;pAHM250C7)q*&F`}
zeu2gC4crNC*Zg-kS&i=!9&-fjp|Y*siSa@AJMgFncn`GmJ8|9e%E}1+PXH2l;R`>`
zWpLm{+3&?`&{jhThG(6j!L_BV|F)hyZo!?Tz#)7J%0A$$Gr0$mALVfN_lv|t63no4
zMvHMEuXuiXz0hs;K3K(0xREUV6{JT>Xf3!GrNeR+VgqUZ1uga5Or&p3MA88-nwt$&
z)5qKI-}tG~eX=f9tW52fjGj;s@N&WE(pfl3*lY|{wA4-^*FK7Gwg{;maaYojNlB>Q
z;(vAXPLPINhAAR7`IGbXyw7|%v{#x{+^I?r;;773HbFR8Dcep=iqN0=OF<7}8nz=s
zE>p=^AP;S5F%3_CeYol@C?@D+M4(L@s{rf0gartSE-kJhzf(`M6xmAqwJ;FfkasF#
zLun>p)~mzpXDUEWCFwigQ2n23{~Znb{y}SN>(7lW8CUfWC8YgYVCZf8XbD6ywufWm
zib<pvB`LMXzIn`{zhYsedpP=6Yl=P@D|TW=CMHwy-gz&fvOD_fY}R+^G{JZwWY==y
zh(oj88f+?a9Ag(+mI&CE8ck1HmW5T`nsBMiW7lItQ>7?()k{q6n~*P%l~7@&8Y6x)
zPcdI)rCelh-tWV05<uH+@&#BHK^)ux=xD>=jc|?ptpo6o-*i6yuKNf27v~^BkWujh
zI4v~cZ41x>`SK5i@_(!QOG^tX<jns-{H^~X&Rg$3_#c3G`_{z7BnWKrAQP+Zp!pbH
zkGI4Q?R38WX3B%!hlgh#fgJ7E;P(n(YOE1uc2lMkV=NY|DoNL47-=v&9M(LE<T^S!
zz#MDfLA_A@v!6CwYFJp9WN>VkW*iHWFGr`c2nUgG4Wl31eK6#M9j$yTNV6${Bow_L
zh851uPf5wKFdlU5$%W%)C^Ns-<+MXghE;#SSw}hk>znV9+Mb!ogh9s^Rhqz}o~3YD
ziJ&+t3t>LRTq!9q$&zF!QU1uzrFMbyOJkG=yBQxlqtNL4w0v$=6eMAoz#}(2oZZ~J
z%$S|ZW#~4#jG@I(O*yuicJF*=X!{7~7R+lvV5wW9Xs)VP-O*-T1lHxHuuwl;k!m?V
zDLvErzyH$$VB>nGvX_Ft{qg&+^V8PZ(W)JjH$$gN8eNpSl37|0m#Lu$GfRBtnTzr9
zCom;Mi)bbsqC;g7BwmV$Dm*)(c9APw!bD!CDcKfeoEn{c5(7oyO~Vss0c+3eT_u|1
zP}h?EtodjKJ2S>D@@=J}0MTbt63%Cw+-n4{lNfwP9~z1ASvs4*qlNc6;Y5&H@j#28
zzd&XEd`)iS?_z5=AO$?kaL*tAcJjTq`2Sq?H42SwpLSqS!Ip)1w{*Jzs$~GUg$JD;
z1fBvK$$tiNc%mP?dFnqj2zF*;)g*?M<z;}Boi$Z~vhDRVJtbC9|F}}G8zwZ{Q}&7g
z5!n<Htt*j)bP&;U9P2%Y$d<_!#&^Bo>HW`HL?ZCs+a*X76mrG@NmG05DZyPgA(W|1
zL;1OvV>p-;^&5J1INmIqAa0ul#R@S|F@^bv;PYUfUR-yp<ULoh{dTi$SRYr5pU7B6
z3GQ@>&1|;Qw1<e|9MMiaK~ZIqfXY_}5&|0KW}&L_2n}?!X42|`-#dYyySMa(jAJu_
z@2i=3SpHqDMHvj2OdUfLe`S8z;PZsLczrx<>Z%Iq&9s@9D{s{YGZE_eI>(OE6fxIb
z1tPh*urLP2P`uh>pt+}LRkE!CZK4bY3{O?vk~FC-Ia95d`R<f2IbR5DJZ=hBwQ6Z4
zL1S{~*Ob_``6Vo4t=ZMiWLnJ%)@x?6cx!sH>Qk4?7qA`Wky98W;%4R0`T|J~-d8Tz
zy}wQV6ogqSh(F<Ye3-O>X9_XpT90ygTd_abpv)q>UOgxEkuMARo4iRAoj!<X6IPY|
z#sY%n*4I08e=G#i4`pU&+Y4p4J`!q!2W$sQG-2{s<GLFMHy+3*FptOuOWX0S-x>%8
zf%|v>r59Y)#RZ1pM|5J@5ty1yT?h4ykLn@KVDVODiSf@@7z?XNBc<mdPD3)hg19vk
zLeA8uqdeoZHDBE+Ch;_)uB>IFZb|ayKEIllm9xl`DRjO85h4qAf@2K=Dmx;;R^dXa
z29fV5mro`1{Pw2dJ<QsY7D4LOU)|~-1I|8-Z;)moS)r*7nR;VJ_JUd-d^*@3uk=5<
zAMsI7O2JGcvlm`WH4VD!C5e%gCUS|3H6&hQ{viG}WZ<z!N6)n?ZCb4r;c&ehc6ubr
zUR5dZswktTJ|}ZDP5Ri|b+D8Mff;EfnVJrZbu>kRXXVLTrI*2?;_cr=C2fV?o@D>@
z*@*wi>AE+Xx;wg~oyploI6_|QnX0SXt`=&k9oK~)*EMtVkXx>MF?3p};cm8&*Tnup
zOSZQ3J2Z<Yitx44G83z$<OJan%5<7RP37x;5ZUTNxz+;IT0Mv8=vwyA#`Ri81&DJ7
z^f0yi8ljNMWpUc13(`}UP=pkDJ)WS3lXjq8xUH9)d`F{aVp6`&%;>Cd7m||@qu|8E
z9Iy#&Z*7`#lc2j5y;6hvtImIq{TW!E@Rl^lb@a>onFIDwct#WapBgZ)hrm%E&;ImK
zk%M-KciZy%y5!owkosojh2XzbZF6p3*2$%P=jWa+pR-gQS7n*xks-*=!`df*8&>$%
z<wW_qg&=si9MW6~Xnwl8GY^l~H(%o60oMTBtkMC0xo~<{HK<+q`3Z+yNW(`?99o*S
zM}(eqB;V%<sJN_pRggtoz>Y%)Dv>!+m^?>5j4HHH#i7G;nfZ?bv9IU3*s-PApvrSs
z?f#`w(L`ZrB3f7m$37U0xJC*R5e(`a?2@A8o%@}FhlS~FwJEL!lGHa-2+OOVhxe)t
z;}yA}_KcEH$dg&TvHn>-k5_j}i1ZtuCq@X#^G^N#8KOvU-E|i=RkprYe@5Brc$e^T
zit*=HQ)j?^^X#CSoG7(bf}TGHPNe>vRq3YrL5kNx|GL)l!6%?p#VDE($(8O6mGMS{
z4xRp6F<c1EcQ__WwWNH``^>e6^O-j`|GUT%BpFs(>-0DvAhlWnpg@7CpI(j~D-M9W
z@~mTRjI^=7Ub;hVQvbY@ihB1Sn!M3UkSlr}TdI;*)r2>ACA=LAek<?<HaPDQE~HWe
z1IriRo50`+?6N_3VJ3gVz(M}+7Va5lmWS`RTrs>m=NTxp-$kfm=V^LaX>m>_9fVAZ
z8bXJ+p`ZGCuubdtUSl}RD}0njVqczf>Kl>QPNn6+$ItX>r>v)PPkIJ@T|5K&_yF?+
zVqe1o>%zc-@BCbQ+|C72W=eLirc27>vCaD19Y5o|a)PRNw0z^f_f87gv}P20dfGw`
zKZ#n}C*~z2SPy!woPwS6DSh?28NvSrNg_!Ly8TM+he-vYmY+MgFNK&P%Ds`(SUF*S
zHHqx*P&)x~pa}JA$U_%yS|jy5ZZW*>eHiZ>H~YB@yHYYmgpwdaWUff3@v|}`(IK_5
z7H{7kgP^;GwSR8}12At;8f2`3Q}$H(#1%&?`z`;C%2|M9mSzJZ1A|d7#?Oz9zteV<
zMPl9G3awRT;0L3cVzif`nYzEL<^F+2hM-glq^ZB}9*j!mi}CTd-H}4wkqyR}OH+Uk
z8LjQq=k5L*6aKTCJA>o0m?wV^_C__Hxs==IK66j8Yc?35^Dq3B<n<BZ9t@0Y;q@}S
z+W}9M<9`8uzK>^SX2M;q|Fys1m6w-!D5#3|=-$#>aujPs_aM)rnL~!5o&#OpCV%X{
z7AX^dO$tFlN0>De_85&j7LgwB$x!{sMxRV(5kac*U52fsg=Mn0JI?DqpnEGHq!@!G
z$9=U1p9>v~k!rG~GX35;?kkV`oXmhtOPK<VN<p8M&8v$x4G|w@c+(`1STnF&BpYbb
z)a>jK#i@EQt~z8uB`cWhy1~O6YAIJDpSch%NAs%D*N@}_RYqzxy?$h2FAH!KC4J&3
zD2wu%(-6MQ`K2USnpR^pWEc}Wvy<vR5iY-C99!}<CGAaFy0w}u66%adEcL>O?XvA#
z(m33W6vwqyr`@2>u~U`;<YX2(pLMk}!%!gtUuz}ALK;%z*qe|bOlu6~yoow^oxWyf
z2#`F-DjMmjVCRvyBQ$c{0#lZ4Se4`wvmih8CiA__uH<g>V(|=1Ts(zEC>{_H8P}PJ
zOP(8cyi;Q$Jj}`a{hi{OYgp~DdzA-ixEy_ZZ~SliYv|KcOmNVB*#`A02p;UHuRn*U
zW4}cE1pyQQI4sMn>)2=$&~)<8AYdaMlkdLoMei{!F=Ma{iHVV@AEdH(<K?8dk}$_e
z3g$Fx%X?F`NFSR8(QY0OnW?0ubHt{3XPz>=dssgZ$tJ9mW7^^7OE`1cX|4-8ke~hV
zXTWs$%O*3ZJdp14oc(76%b57+ulfygT=n%%i&pe^jUdC=cIMB<utxM>DdX46%bJ_w
z<(+f4F~6KYJZ4ktOo0v3)iKZ|__}(Idl0nn*uFZOvexC8EGwcO`Jq06YX0cXLr5;i
zq;2y%=7-!NdS5UX`BTlGH(9Z+C!7u+a+LhS+l4G6aw0UIkz<6U%9Ywsg<O=n_R(Ru
ztl5`EGdq2Q1hE4I&0z^cGYTpsrjSz)d${)aVebktB*HS)mIh{l`19!c<_46q3<GLj
zs~tM%T<=+27!vK2%4Nu;_CJPQ@n>D<$_h^e>MDVFk2TVNjUx@%q=qiZ8Yqx0On#JU
zgUzcMu&HQVP`12(4m!N8fv%+*x1i=sU8?0KIu#ov1z9m&44O0FMe>wEo(I&OvRvn*
z<dnSqV8)CMFadlQA(8RU(`8FFs9AI~k{A)Lu*e%6h9pV9S5c+2fKabKTxv-oz_8@0
z{UX#al)zlfE`txdU_MyOHH~0!_Y=gFL@K1(-V6)bDvx|jrpxq0hhI6c>&bq=mCW}t
zg5NWVEXM!-^(752a;vIr5EXbozLGw{H948^9$nLKu*fn|+_AfTUZ;?EY(OD}a}rPL
zQ(_9MCF1K*R5xean)`nQ`uU1p<i1<3$d&}|vikYMR)elw8^1)b<(e%vHJ7>yvtCWR
zu@H^KDQdH2BZj7X0KWa#V0!D)ud_*}*b(mS2JDV9jTC0OEsW~#dQDktpT+NZGwE3z
zwU}nSoMIJ8cM;`HU>b?%)bT3rY|BDcok7XtajW*JAQu{VIaiK+9BE^7q(h_n5b$!K
zP^HUw%EKuAQ+Dcp_3>Lnzf9e|$fgsP*9HmfF<8nFvd9P`Uk_G*brhx=cN-W7G4>MF
z%!-JRxE&B33HGjg9blo~E^Ea8bwY*=Hm=eGX1yszbPxa+=(+@6n23dP>l#(8yw7&d
zy|p(8_$#f4WkrB*1US6kgG^Z$G4qj+6Mh%C0wB=(i=65Hk^7IkKwuV}_}f9k51c_Y
zHJqC_Lq~HM3FswP^_hg=>}j1PItV`SkwMR7mDd?WjBII23=ZMXL^UTj17L4DT`GPD
z@6vnW7|3-jO#df&slLRbCDtNIxey~{+6DJRkpbVFLaH3eZ@x2Xul97`<dNOmfE@Ty
z_6}f{u=+mD2Yh!PNgvLtFEz($ps?lSu&lC@jGn{m7xghu6}FeaXF|kCtoYM_3L#K7
zRyIZ?E9mY@3gJ&S)Su*Pf!eqwSw#w9DEdwKXq#}#H3Tw9I8Hx5>)ubgl$vvYbL5%%
zUQ2{kEbbg<m8O5@s`_Oh3!6Pluur@JCn;$#AM_?wdGn%dP)Q#(lk@mhv+GKf*kJaG
zs`oPzN(I3&Qc9L)1~bvmvq#m>mogVSaZOHI{1jJr5wb)~pP&dd=IzEvl^ybg@DZXY
zKw-TJ)yqypd&Ci~0@3>Hql9Pl8h*B{Ok_*(;*}&iIry;ct<0zF&7qn)1*Zx=^9+hy
zCfzv<7!pPlFHkZj^G|;Jf&?Os(feo-fhvwVu0|jlW{6zO%0xR1clu*EcLBD+^$M0@
zL+>`8!CgUDyz{bG$F^BOMZ>Bx*L<$8j*VV`|H0eeb<+(8Y7z>dZeWu4`1m;Rs}nyf
zG*JeFfX7l^XwaqxFwpvVzJ2?qoV45f$MCU#=l31pO928QSi~Mnmis`}0`i|Pcla$x
z%T&kT8SVI#86NBpJd%Uj3S@$E;u7G$safp0ioz<sL|<06`g`4-y6VuwhZ~Zq_ui;|
zN}Jj;S!+ARk{}A1!_P`kF=;X)o39d<%cjf`Md0kYzC*Sey#o7+jE>NP_#SatUMYsQ
z=)3U&EF!ay2fHsJvor-LZ<du`dnfV_f*50#s2E-irKwBbuDsP3lE+NhiUYzV{K~_;
z`WmI@b{AU7FMCQbh87K<?F;Yzz;916W76mEk-J$?>1wTLg#?qyXm7T}#lboXZ=N>%
zCRbA;VTi;}QJkbqri{y<ttGA+%=7SO)Ti%>BAX~pKW={(-5{43?Hb-9`%yH-4N25*
z{)&<?Um?$b^sW-2)ezIsimri}bNQ>prIQXXc4`>P=FKskep6Y%M{;s@Bvc4RWo0iJ
zyC{X=TZ=McFq48+de~lTKpT(R<r#;UiAoPci?T3uovlI=70610N6<$anj&xHPca$Z
zbdA3r#<n3feYDhPWmhThnl-N}Y-DKs`JMt}t;Nfo%1ZV5zu#;Y<6y?tP{Ulsm+jWq
zATTb$c<_BAQ_}J089V_=K*houCixXjNfP;2zzY>kbTkNFgk6cU(CWr=#kZ@wcF>kj
zAwuxqW{ityUq3bF5z*7tRr1LL|Fzc0fVl`@AIsazHByoHD#Nkywe@}4-OYS)A(TUH
zT@&8i1Ykt4xp|w9-fMKG^kXnMIC!tg&U`L~|0(JL{!GhH&|P$UUp_2UmPclmFp#;M
zLc9WnLYEv5K&B2@_}{M3vKRN}Bc=Hu%BF`l@pN_(`>Vfl@QP+^zWMrY-`{th-9f&+
z6JlafP@RVi%M&niEPbXe$#Jn-xUZjYxOkKS=94A^+pIj%<U@{J&|J*2BdKKJ4VK;B
z-eonJXR1PhpdusmN{g9q!}d+1Fd+qQ<ojxfQZ+hnjE%cB6+eab<_c2c0+~Y$FB(>3
z?mh?~`ax62ppA=`)NE-)TPmIKN!+eEDTa!cW8|m%T#?Px^9E*;Qfz+xBnPHNN(^E>
zN4ZD@n0kFeM730huX%LJFrq0!Ob@m?FMawu)+YZI%H=VxAz0QjQL#D)6_Z9v8_{G*
z*L2O_hP;Af=Whjp;_Is}agG=r2=yo=iOPD{8p1TCY0t89bAJbH61SVdaO{<1$U`AI
zx~;E6Vwr@P@*6+@j%VL&-z)GeCG)$akhfD$WJ#Y;kBCvnSi~(+!h<N#AR-4>DHy$a
zE1&x*5Og|2S3K5T;kX^JO858oKeG$X{iupYy9^lrwp5zvlB$6gw)b}J@eyqNIH}YP
z%(q^eh<5y376KK)>Rl@A)k=G>m5hE-3pd{Ml#OfP|E7}DoS}^N8LOExcyzxR;iN0o
zs?qVwlVt;^vw<AM#G7?2J@-A0h_D3VbV?#IyYeTp7Ge40A*LHHPR>2)BY3xwhbAcW
zp*~2ExYJ1(5xvUkXYZe!E_?9Ry-(mCYY>UcTxqCYTQ0c?0={-|8JBHh<hB={xS8Vp
z^j58D*pk7%p<YOgV(8q;Utf2&I%ikSlEzh_&DYVL1mC`SwRvq7BzU!LXGV(8=j_k;
zalM}DIWmtC>`;a7oc~$Gx>aC}rxM@yF>YOR{LA0xt**q@(vZ25w0J%k5Vu1q>I(FP
zaJJ(}2i?IG=*#4Wt1P}N;nWjn%HX{dT*s-$mRWQUs<INql1)hX<k*3}W#UveceFQ_
z?sKN4c$lS}+IO^7pXkX%g)dhp>UpyKGqsb8D9|;$Z+m~A=_EI=J~=B}fo7sX-20vR
zif#>AmsduufVYI8P8y7>#Lo^E6Z`5K=_a$BBa*xz?RUFtJ^j<yb|&+rpDfF8Eo1mn
zVaROBCUZNaqwkubh+CaL6m$unu#xB$79lyq4e^eaT*tJ<L>d@GP-JwHa%{t;hX8#H
z*u)GkWZYU8abdajN#l`RB^DV3GM?{l1Ry7ZLGRH5z9To_ETvj^<eJR1IQr#1t<NDg
z>r-jf5MPLzj)SRW#_cN??e#8PUtr@!^S#d?Wv6*Hh%_DIDE`Tr@89UyO+Gg__t5z<
zlP>iO3Ly%%<{6v8%6j^w&(5x3_~pao#(QZa@UCm_)!x<*W1${?X*Y6vEJ<_Hk771Q
z2&)<vWp@o^R)!OQYmMe?cxikmw1?hSdKaCH<<5z>7}e-RpM3@eP8ARdal-(s;raS)
zx7wUhbE-ZDt3?beER|!z;G6MrK0pX~u&0iK7UkN%uX)W>#}S-;=;%B}2zCe%A#dBP
zL6;LBW72RSQ|Uf?))@uU2V;u~t4p~%7~q#oJ(&t^QBz)8#~)yeg6Z{%k;fE8aJb=h
zJ)>DW)MybB6Bo|O&d;BE!lal4%S=0xx>*4i3;eGOYtOItKBF`adz<;6wsEN_u)@`w
zFJ8Q$jt9A|c|URvRCZf6Z|%loZKoFOQh5wUxt4S2?4`*d;YFA-205v;rqHma^i;FQ
zU87vJ*Pn3)GbScf4s(nf9$J2nKe_Fsa%9}wUL<@I=LY<sPn|=<dOeyJfvk90G+;Sf
z3r77YlO^9sbc`)ER8cT#0TGJnQAhk|<9Yh-_h?AYdSR(3DW)8%QKZO#n5Yx`3bGZ(
zYA`|d+Pwa_5Z>^Rl4W{{B0_Lx><kpjfq?fFQXoA*gSf)e%LS9gKz+?px(q4Ai;3uo
zi6W#aesao*&+eO15It5`IW>Ww=(v`u#F&pWML1)j1M#-N5JIA(Elg>TC5Oi+9-qHo
z^D8Ggan`?P`L<afPkMw}WR;1Rnb?TTfC%k9j?~}Gs(DF8@f}qKzq7#z=Pv$9bK@)K
zSYA+PDpkTm-cyu7&tu3xp%dJlK}C`mluAiA+AvQ1mj)Q~mPze9%>R<DqA!nozM^EA
zRA|e)dRM*KnD*5Jkp@94$x42JF%dyZrHnZ9*4E%E*>41NTOR_0fISIlHn^|!F#jz@
zLArk>rJj*0^K1~L#|mUBcvK-2j8U1~CYYyI9iXcD<aq&e!S&rkKSSix#DHcYY@|;D
zG`2Z0qlSWmCAL{*M?mbkC~vJuum+XVcvT2Xg8@l<b#<qR#UBYXy)o=@l^^p=d<duv
z3^Y66I$z+lkt5!%b`$8QAwUWf<*oF~!c->~3WkeaaST-VF^Z)C?0x*+@CDgg%cV|x
z>mw0ssm3Tl0V#?C4tg~)X}m0!`_ptqG2|n4aiz+Rt_tbxHh}ChI8IZljom<igy>Sf
zU>Li35Q#Hd3Md4PCqp3QBYeH4ba5!DGRK1*IgI=s6N{6Fs7BImayueFGQ>yqttxcg
zYo9^`0fG=`)@BxtTmOy*g&l=mIz5zpY*DX;T;E!)mb6e{jkO&nNjuu%i-~NR5Xy(o
zRXnaoTA_e%|A}puCaQCdk}g<%Jf~2WB}9OiAc81`#B;Xu?9uO3^iOK`Q-i6?-m<yM
znbWq4!1-J~wV~QJ)gQc4#WSGq0N_R(+}v-GPEK>_^blHe@zJVC8W+Z|_vdiFk`*6T
z4oKeR)i(2Gp9(qqKQTF1giY6Cd@Q|+AvXDu^W*zR5YKhsb2|=9jxu=2E8oqZm;09o
z8trmw?ah7s(=|?E(@O1_LL0GCIcvlCJbt*cx_=O6hErcDt!mm`d4m#+dP*NZIuRa|
zo?Af2|BNPX2Z%<$g{y(Q_~MyE_|yboAB_*|iSo4Zd!8CM04q?~xu}VX$PN)fv5Fmm
z6e<G#A5Gqd7#K{abq#d2l;()=VmxG#w7-@p<DuNXyF5KTy`9Od&dQiw7{J2`&eWsG
zZF_pkovOso&;M`f>@tn_Qsr)(hmeP7o6E6qcuETYRidIL1jCX{12ypT*Xpyoo%3ZZ
zb}awlU{xqz3o8A`7x^68D(gIqc=falATtBlSlmF|cD{Qh&yojH<@ebnVh8llD7k9>
zY1?;;$ZQtX_9WBYQ?BduFXJSpCVj#>RPm6fMc18oD4xj#hbxJJ5J7kmI6#jrdze$(
zjsam%BtS-hB4LeyxrlvPx~(vcA2taOZ-E(6k5HHl`jHO1sti<8bD~LiZ@7i(nE@MF
zdk!Yed!^#$!qfHoICNWtKIH0dgX-zePy}8@h>T*v^$C4_#VS*^D^anv6mE@Z`pu9*
zkx{s1Reg%|_aw59WT@^eN{anOIja-Hd6i4YXk=>oX-3`tqEU2*IV3%T`wG^{B0hBX
z`7E&%YzUBv&-tmone6Gt4>|kJbs(J<;Fkisp69B94Oi?Gy-ZIBNp%rs1cCL=(0s6y
zra|ZVU_+RRO%K`K#Lb(IR{h-URki6*TV1`I-pp})y-!rjPaR)ASGj1Qbkyz?I1!2r
z;gMqg{q3`OvDb&|D93xhB>tX$mRFSIgXmiC#SnC4UppQK8hK&B7>-{Td?@uCEMnt3
z%qbffICwGHd+9E`IQjrkUcf|he(LoFULlNwt;Tt2%&+AYYuz1ZW_tB2S~I3TCP9o>
zsFuUWr%?r}6EU+uQ3}TVb~Omgbj-<1%n6Nj*(V%h{+lKgxeI$&G`?Sa-^tn18&l*o
zbAa(o7y8p}&M_Hiv?Bw8L+w~m>xi^G)Yv25VWwR<_5aay7H&~??bjYsI;1-vx=TvB
zk?xf4?h@$+0Rd?cr3a8sX@@T9?k)il5zueXdwf3*{s3a`dtZB9Yn@BbFYQM$r|G&I
z4<D)UQAQ((uaII1y-&sqdHo763foUC&qNtVk#vys6GX8SH7T-+<Q%sZ6^!L@3RyfC
znn2#f_D<wq>P+65j1!OEeml?#;a<nspyfEZuZNp(^kmCY6xx8Y{!<GR%SYW_-dth(
z+aM_t1S2P|pC`&gGcAYnm5esJyaEFrPnt5?X9&)6voO;!Ee5Nt`K%@3Tz;FPimm4~
z&tK?9(=D=E$;`2lDn!@=XWq6%IU<E#uP3Q4U$sskfM$8HWUc-pr^=3Pt%{mbRsFwy
zvHh>;2u|tM#0IWnEl@{1_4%s0+>aIQ*><`N$2P@GlO;ZE%|S1VzS<su3rxUnFi|B*
z7mvn0&htisEn(`v+!GVaX)+1P$jI$KPvFIhMc>n(iJcGdgzNwYtY^83Rs}hkszNvm
zrPAd-rissRX==E&J{e{orF<G*f6IBttCr%B^OW{O?t~Hm8W&K*Re7HK>k0I+K_HB<
zm8@Y2BjW&*$v5bt>_$^VxyfnRF*#Id1Py4m6F-&NKSZK55_}@i);!cI;_vCoP7Aw#
zFE9U&M3Zs|INpmsAwY&a0rRR4wO3~Qo*nUb|2i8tw<IObjT99=2*aJ7xilM3Xbg}2
z;DPX#Ga-zGaTu~#D{I$!s&=GHKmSss{=Na4@zGc{_v!nFFZW*Rp%*&-dq#w)(~`UD
z$a*ZJ41b$9__bT$nF*$-i-TEyxRYlZ31!mQ;7iHNO#SxqoB>A4?m-)-EQC`^6BsVd
zp!}cFo?Yp{!qua>6EMLGQ=0#nf(gDATT&8Ekz<kOI@MFw&vBALmP)l0%^+Y%s?PT^
zrb-I-z@P@Cx}vp19j*^~69-|hn|t1=WefX}sg=#-N(sVL0+03Jp5(uIM40}SArTq`
zOD{Sj>G6L295wm)gFbC4$Bt36eEbZ<8WRcfoD8AagRJ)>B!}OU0Ydj2Etv~x)dAAW
z99&FgAZlT>ZxcYcFk{DX&LKY{USvj>5#@w|sdhrs@L<-y6mM_EVdiO07Y4Cl%R^%k
zF;Q9g9Iu+eb;REJtNx{K17p;ySc`Ljz-KkDFB<(nF8~s~BlaWGLvzb?3aw@PuaAqA
z9It^jPB?{~Pi#jWrz~wOMZ9X<E&JT=eRyz}ezj4SUiCb<U|r~1$1y6iWhRikZZaGC
zk8G&&6*DI#x6IU#SJ7(14zCC+W>yLT_O1h3sXl2;iz}wf!7Piv9HBf&Eqq>QW~X-+
zK`)oiu=%U+k2UXj&l4|lUe2*TT#;Kyj!J=;w}S=M73E?oEL54M4VUVmq-|7qhG(i2
zClCF|>DMaLddZ;+NqD>`8MWY90-`oWfvrVW5|%LW(EA5)|43s{Oo-3yr_utkmd@`W
z)j>v<+>1|rcL~aP%}h<B$`kWNwjklD4q+S(uIJAQAgg<{v~<d;N#gsSDwTNwocUCu
zPf7e1s4;wc_V1%no4}eS%NA>V$IkHx;-V$-<&dnHNg4RNz6;39P2E(@pY(Oy&68N+
zM9_}$0lj$0cb%s5VAH9&W4(5$R8PFCrVc{KJ{sK8IuK2kYvRNOoLG#?^v|5)p3DQe
zzmz@GC`wQsYx4iO@aVHa+St?6BP2o5iuk>ZFe@J2=rbO!Tn}<)Sq`sDnb({F6(VY%
zb!FdbPGS~U($vhq>39O>>yn>=&qLE0$AN+6tNFirSND)jnq-ChtiO2@z{M$#HZx@4
zd#8@DQ1>?`Px9Ds0pQia%WWS-$kBV}mi{AK|9vzFmb};BHnmEAG-z{ucy`0A_%xJf
zgu30UZ@{38GAJiIztCS3&P}Ttt*OM=rMuhRESkpOqQ0=Zq9nFA!8621#d%GQh!mEg
z9h8nm)<AA2&`;FT#kU(W&-u(Gt1sMP&``l5Z#S3PX0%aln#T+RfkprRt~7c3bze?z
z(B}mc)V9->-!q9@+PNuKyxca>^kw&#FQ6ngB$X0)1B$(a`mpOBVCmYmx_!8%W;KPv
zo;xd-nl-+lLYtzH!K%;|Gz}E$l$qp~wf&1UVs@+|g=lB~>BimmK;+9DR^m0mSAO<9
z)=CkP{-`bQOOhoMeuvMYb}<k}9PUO$*p0soJgT*C7e~xJpDaTUcB+h>2x?m`_F!#K
z#i*+z7JpfrD@{wmD;$=iN(b7&`|=N8?-}^f#rM6>;LDpU0O760brHh9?!UWxK=wmO
zqME&u%QkSKoM#6}KwePD7GO*Ii)-Ahf&~xUjwTMmKg#LizqcZ3?uQjaZw=nw!e--+
zoL@hzeCT=HXD$q|0_o0)i6^*05uObUzWn+^avKB%fj#oYTmFAH&gM6{k<6jLK%VgH
z=EF-!z)5BK-))+|+rSJ54~PS`13;ufwFZa;hwcJz+-1QV#b}!9-<M`>>|pA+ue@O0
zJ%Uo*%wmt*Ko`pF;q)2(YP}l$cZ-*aFghedn@`iVR|2P`vT}4r$$S6oFUPGpRLB1O
z6Tf^YymRsI(etgYs{U|%Y#Vb-_PG6Amlp3I=?qz9oF#+=3w@Au5RX8>iieRFxg_3F
zC(=4Xi7<}0mxfdpjShLQTuKA?>t*wLRp(}7&)ChwuFvA!PZ-ZS$8~2>Psh|t->Kk>
zuZQ{ePZCeOG;E)U9nkSH3-3v#P|eLpc;<DLPCJhDDnI7r78TK8p+Y>wUbbkzJ#@=0
zNaC%ou6{of6*rlzfz<o)kCq%*(~4b7f{P@eW_A)F)}8_+@Z}uU+H=?vNI}OP*<233
zIf!eJ&sW4zwk%+3A*m_=9!2m4Nc=IY#(E!g-qZ8R$Up?Jum|w6QA_7QVOy3huiDV8
zWo0MBNam4>S5&6##)my#ix2DG$a{vY(5+~tz=r>Xy6Be*-9}Ws#Hj~v3-`RDb*vZj
zV$BxM0YhD3*G_Vj)EoFY`YbG3rk+C-eX^<is4*feHoM<+%C3Oq4p<xszxYsA$y-MF
z(oHDu-|3%eyEPMVXfEswtmX|lcl~IuUjS7u84U~Sbd<C_HTELaWRm)GPJ(oUO92j%
zcov7m3J{%*al?u>+&IK0XM)Y`;U%JWNtnWDzjRxjel_|at(q@WI7_k3T^|1=sWq1T
z@U5;&84BdH@^__RUsFM1q&V4^JD(>}CEwR;rrOzXc*#|Km(z)4Ns|ARX>R!4z-(BA
zSyd`S&u6XlC6DMLffX|;NUL3oE7BHKnoP!GwsYb6v)6zu4T#o~S{DaL(BW+pI;@BQ
zZ&G*NNl=GS)kSWlChA*)AuSb83-XAJ(-d=e;n8;U2!{46={k~8mEbzQAEgQ5L*pgj
zZOfSuQTkM+Ny#ZCy(G9$5Z7XTQ?|1A+0?pbE6riz^tS3kLr!b}GGlB(oNb8%B31f^
zlVOlJ(lULXZ45fUgKy)%=^DGcL)}7*=lOSE-l(>$5hu@4p#&D*Jv<#s7~Zx2I0knj
zU_P=3m3-jISy)&A#s~MV3*Wj2c*zN9y>!2GbIb(~;ok$2?jI<SBOg)jfIiI0!j}(V
zs0DEY@D2AWe&>FA4go6Lp8wlBf4G@>(DU*4?z>jwnrnBOkRN^5G;kvf@T_yAN`JAR
zDg-@AAT{&^49~z$@w4=Q{u$tVz1&uw_+7Y`iBy;I2hIZc_owdP%Gw%-;>&ffR^XX@
z+mZKaJlhkgG^i$1L9k)H!38#(#e5i3{;kYGC=ci`afo{DQ<UcR2G{hn71lzTdo_d)
zR6YtWcsDHj=sHkr%sAmvUVBr+atu8wS_NX)+D4-Ko{Vw@8Mi2+)`0v^J4f3$3yz@G
zR`Ts%xjV5z=r1Bc4#dJyjUTV@(zKld1Mf#O*@57A_B+EjnFtlZXmUB5M7|#UMg=D4
zoPf6tYTTQRYsM`|<h9g)0@oK%rMW(s5q=Z$1AZ|nZ+|3l46Fe>!2*gRA()(&KvN`Z
z3P(DEYZ_@WqlR_br)CSxta1+Nh<sbFK<az0_N+Xml-QN#H04==Y;&lRsfUi^tZ<5V
z`att}{{3MYE|~a?YXA+S!MX^41{{qs1{wru$eh!pkm&rn0@`qrCJDgNzt{m);#qco
zUh)?vXLwm!epJPMy(BslhOYXIO%=<V9tvn<9tUD_hm!@JV=b#>{1<ek*Z1-@t@@Z6
zqywnWF_IfJl1bMi?&;XM#y%+#<D(!&r>CNXX6m4JzXiZ!TC{GE!*#nOMO+iFQbS@u
zoWz3&Z2O4nsi4zKx69)~eOX#*1w<n<XywDmsS>fsgaXnADdt_i>sM3nK`eX`AX39p
zt!D}_M1JEMVtF?snKLUd;Ag_y_B$SG5G_u^9Jn?2TnVX~m=%%q%|YoMj&r*dtKTMx
z$DxsUq~y=hRym?neb{s{Zw(YVERD9Pv8_i!d9^-?XcBGa=YlX9H}wt5l^jSNsq4m+
zVhySAM1dG(N%K{pf2(!ATs&*rQm;8`sXUaj)Y4`3l9E>shOU6HU4@d-e|F9JD3q^?
zT8VH!^Xdnb(%HmE{*Y?3rRX=S^@H6M=f7}?UOxXSdE=B_K#`9#@MA;t2b`<^7w+l=
zelMx}(zkHaXTj!u0kHEv)dhTGhx<4S*8c*;^AC9B6%H<d1D`<wfg~<Or4sInczgfh
z?foEu1`q+tmR-8fY`KG%$IO52bH4>}F1WcL4rKQosQ+KpklAI>V&dz^or1CLQ;_u_
z0Oeuz@7|p0)dkI83{3o%zImkj{XgG7I5xk|&(DMQyz%fNPxqWxOoy;?-^Mm0-2zJI
z&-yB$<c4dE&)L;vTn8ui9MfyKe6lS}#`rjl-*z`n1G7+hS8XuWWTtpwDTyx&=aCaH
zEJk@3MHDM?bo$roEEvTkbtQxB{;YSUt))uh#oNS0TmJ4U$^|!|F+K)gEsdg)#<tO@
z$FnWQ-bgtCpv}rLC;F-Ebl@4F1TameXy9w%A^X>EkjMbB4Sd-cDafVlu4!7?Ct1c>
zauN={IsYIV6pdGkN^Qgk18-SR-iD3l!}k#-JkbyY<b33C1ja;ENLXrbnK-_J()Dz)
zj6B-l8SVKC7q4OVCN|(?80oe53!l+5JZ7d4H7jz<@m~HX;&WuY_%!mK87$CEzUezC
z_=;IsczX<W5e2K(-{zZhtIdKU!n#F!vN<yUV(>%hIlb9!6S`r+$1m>-g;Xes<h+U*
zpo36~`Wy{uCV0XA6@g8D<TKnteW%V~5rb|PU&ANVu}{wuE>&<$LM)L;lF^(?eq=kw
zh4hh`kDkWwW|S(!iCwRUA52g>(hId5o1@Y^huz695T#1!1hY<~!mnI)Jq#k}wivtI
zQVqt@AOfQ3)kGZATLI&HE9nzv6p<q@he18!a()ylOe@weSGszFNpDd-sk7r&_u|4@
zpCxg!Ms()+u0u^tb7^Z=eZA$26z-9LjpZClX`)&giSE>e9S(pz_s220{ELNP;n0OL
zI#_Gz8#mlGJ&0L;ZXAsBHS0Vu!^8$(H)yG)&$J*x8{zO`-UQk_{gUppo(g`NP1d<_
z62vtesaTb@5rr>psn~j9u>i^7@!4Ub;N~lQm%gtV2G%nW3$<oe=`=J(!UR$VSU<4`
zS<Lns&M$_KXP1qWHNZGukF0y)jT`u*?-~5vA9P6ZcKy^GPV=~B0D~hO4ng(q4~T<<
z`iP-O+TUx360Q6K8=m>VHTzZL<?S3i9>rV~a(xcYn>+CZIA(^Tr3;)pf8o_?z+wNi
z3&8l};r}eJ#i@R~zd1DlU>U=EcBn2}EDlxf@&x|{QD7ms6E>8|qT$C_R?n{#yynz9
zg?i`3@2`O-E%B*3;txr6uHQa$l#;d)-8k{?YmJvsU#bs&*@_m>_R6Wx@WPBM#9{1c
zNY#Wu=4_F~H8YdiUWy6driRF&^<iA3AnJ{bp%mMS`^oK4x{3c-YwVWS`t0ab<4alI
z<%b&Cw|vDaSk%{u`IYlUhkiaq!N&Uw6HYFY8nX@1WJRh$!X)-WVtvi+V!iXOo$|>q
zM#;z~g_!EtG*OP!=lKW|B6f*g#sJ;}Ob|y2Vll|B*(g<+oI|8%a^td<UZ>12gNclW
zrfES3Wf-Pov~C_bmucaB7b#9)OI*^Qs7>(*F;lz2z|AG9RjA%HzIg&I#&TLsphZAs
z@{)6sGxwIyrzG6q+<^*ekqIq2Njtu^sq==K*VRFx<DZA^*3uj3K<AQ~S5`FlC`}i8
z6kbVF=yw6N*`MuVsQh-1c%WDsSMu=(y4+V+a`oqY`@4qwCOG?oqx>G$SY{und=$lG
ziJMT`xJKJRjm7=7t!lvXIQOb=EIwZuy3PQmmL55CZ?ZM2i}~TQB`<O!+MZT=gU69i
z%f1A5Ly026hVGFg*N~NZV(;Ro_!_!!9!Io#%zb3x82vyC#JC{8cZj_DT}+i+7%5uR
zW=XVX&Tq9Os<Yo#tS6T==ml^j)S9;UlUD1py&oBr6=QbGe~6Px<dfKZ36g<%bszzv
zf=>p^KJ5T7*d*zxiHX~-ZOqlp<x}-HeiH$jgS7`l*j*!^cq;yD$^5+7+4{(Y$RX?~
z?eg;sziNtt4%sKAvhQEB4MOo8+M0B@_Y<<T_GCEww)gwRxdkZ>*U=~9Xa(tBe3uge
z_KqHd*Ku^iT7M!AS9qn%W4)(EggW0mRkYO>gq#N1K%`<?tMx-S9{*nc`-^>*3r`Wi
zuU6fE=IhkUXZeC|f!i)C4u05BUA~D07pxt?)OmzowhniCk)#R_!I41%YH-}MuruM=
zCxk6{68Nh~5!qDo;c;&dh%AlVh+_?aqr|%I&AGFEvnYQdrW}Ad5X$eLfyIOS(Hc{U
zTWe=?voDx1DXf#}N^I@x@T>v@1Hn{ZDx$sdcbcBAPwmZwIFZ54*l^r|PwfrISkrV)
zo@E~)G1jvDVZI-R!uUKjgL*`hW;QP)WxRxb#f4C|Wz=UIx6dkx0;&xPysho+%MJp>
z9`PpK8$HI<<md=n4yP!=cNe#BB*z*;duWF0d1Jh(k)=hFfsNHe_{^^}vQLT?aMLJ<
zZo0f`p}a5^Z`Ek=b0>8WBfjQ1PdIyy&!2Ck(Eog9{apuo#FpmMQRP`w8ac$UZ-2OG
z&l>V&yx0zBm|Q@9^1y<ZqY7&V@uOwoF9h0wxv+)es<Kd)w+?Ei3HO8$4pK%~nCDIw
zv;l)9F_H5_GaXsLt4q=XL?4Lbs~QyiA%%?Fe6ZRSk~g0HDjz%%+}c~FDO+vOFl(^>
zDar+xMyzCcQ&b`bq_UskQg@BLvw~@`0XASDR}@;r)&XN?Mg!qNj!`dvC^S_YJn#Op
zac#l<)-k;L#T2qNv6*pt?XNd4)&1N)x9_7|X>SUo>;jrDtE~ptO2o&J(;zH}!U9L*
z!cw<`Q@K#xiv|vq>TdRbQ<PAlgo$2t>vF-Jb5?gDU6L?u{fR)~ZO#GHN<j6k(?Ln|
zY`VA|>_$O`;Gl-%apcn1KbJz1iY6f%%8UD@pe3BNvXh&&H{aDz6OxydOOMegaXGRS
zmsVQe+6p`4Bp5-^LDLn*6?3Rj#m}K~Bs!v8U0TX6DgxyhhQK3y6N14l-g?^<yCQ8J
zHk3QC!)q_<o4ywc3VHocen;D)?cIE)!+19F4T^f_AR+IFp499TZ-Um4^kuRaqM1_o
zY%c->StCbho}ey{VdmtjRClhA96e~#g@S2vELNNXJ!*I<3I(4lv6KYxAcOfTL&2y9
z4Yd5T5FzG3YS?zj_EQY|M2u1*#1QRcvjiydOEmvU4-p0wEJ!|>{NdagY%x&RjnL~|
zS&kY8zn;MBIRMVzEwpm;^6fw8qN~TiLYzlH-6Vnp`~y{;CLl3?=kt<3)M}*R3|tb7
zvNEq-ARZN=x+?7r4WJuol(Y0M)Gov;;?t`#20=o7EFbRis*{G?S4_6m;G-%|<kpIq
zAD4EOfs>#;io=;;dXP<W%c0Rw!ZK>^CL@(XK-v7Wzr>hY<{gCb!{D&Wt`RPJZ^XXB
z?^n;hO*W{~c$p@dqA3J@DRAZ4;n*G9*x<n$(*kYwzHV-lp84Q*@75aZ=i_u2PeU!i
z1BM+*$+uTK->w3>gbb;)U-M^Ls*LL21VOf+?$ZR+YJyK2*dYxLHT8=svj|~QjM|@{
zPY9mI*jfpYvzA^k<t{h~0J%?z>eO)zN_jtP^?c;Y5On&aS`SyJ6$S`7<odbsN6W*s
zk>i%<P&ABNE$qe>zpFT|BYoRuzlbJfkj6ozmzrNFO&ukcL&3K-IzVijDjb_oLV_SH
z$j>maWu8!cQ!u;p`=v}v+rU-&F^9>{*-V${Dn-deyI}LLIx;t9vI0M*9gLF|bI4Eo
z;)Q1J@m<%TCoHMcJ~WgX{{>#K+}8{A38Y=J|Ef6C&V89BI<x4RdgsNXChP4Q$%d{#
zsOB7Y#iql#=_hX;<tLMvqJ}5zF*j~2?JfUGY`Tc>N+~hTHqUD_W3gQ?DrA%bgK}&y
zHy9a$5Z-1I>Cp2v+Xl^x24V+Av<rATf<VwdYn4I!@z4uB-ypfMXC{1OaE_c^jW)m!
zs*-;lY}rwNHYli^se(e=7*-u$T}Be5?$Imjrz1gtzs&#L2k3*@H-}S)27gUT9LLtI
zVbA5B{)x@GElRi~83AY0W%t9Mr_d?iS#j>jXEJg6)kHCtA=_Rqw&0mGKa)sBAg1UO
z>0zGLP<6I!7^(dns)voiz|St6ZliEzL2+od*t~_i1H~}2iTQ+Wv@Mmw<USy5ojJ{>
z8YjcWL=qfgIZD22_0HLv$!12}v_}8%@DO+i?Qd@+*-RHRwXfqXzBL})X2r?%-^Qc_
z52p-Y;pE?dSpB)**qU$#5-lW!M$$a!`UNP~;cUIM11P`xA!@*PglC)oe{uO|;~K9?
zZqqi8e@}PpzKQr_{GlG=8qc~3)8NFW{osylGRgXkMvW;f4dbC)Cuz#*{^OsH62$Ua
zl)@gx`qle^ptR7}&&$cg<=4DWcyq0uxGJ4WBB>R*d-GWBnfLB&LZzWb{BZqqz6#sh
zl0sw00Ja&6Z9A2Hd99@RX%*T0urPb|l1~Yh(Yk6Zd?~ysOm_J7>5I<LcvSWhj1B&~
zHAdwOZEL}~@5QLQM_oCzy!Jb8d(}f-Bp`)vV}A&kknQb(Zb8O+-n*<;QBfR3_Ausn
z>Lb5S5}1Ac7QTAfUyH3@2xx*7r<OWRys*H|itPpYAhbAQGV6ev4aolRZZs*$r+oVa
zqWm^o%jZM4jkn;QAfc$kkh0rnp{akZ$_hZit*bx{TUcrQq+{V}n#6SBarRS-clt;c
zug_=8g%iNE^?92QO#N!|tPA6#5KOf0^ju%=>`H82t4)77fAj5){kjhIy{}VD%Z``(
z4i>w7fhI;eu;{%YwZ~wD2q#fGe+-u4<RZ5w4J)=EpGBlZCRjnkqkNB%=V%c(oSJ1D
z@-f&-vvQpBH(Bdmdj|K#u){?5mGw8kX8AM&$}^QeeQXBdF)t74V!>V_BS>6wW6k57
z*XA9tqJj9@8SKh7XIz98;<M(mj!u8>a{RLR217^i-GrEyiH!=K;*u-{b$S}7+D-I)
zNw&c4g5kKW_>WrvWH4+%qwpn1O5abR6H6OI_>c1>_!rr;Uiu#TcMcif%ZB~;DS+1!
z{B3p>z~2j@*FzYq5i@wL?IMv1-4L~j;}gq!Boiu@I@3ot0p7${7YX_RgK%K*x07iu
z)IVXdh}BoCso<=C;fh*Z8&nZwf)ZV~)>ReO(z%qbF$aN!U2Esnq01YlgzT0hp6eXc
z;(3myu=7iAr*$fzEjjmfTlol;w3C-K<k-^p*<tA&yufXn?f!*I3Jr|CjAh5Exc<Uh
z?YocQ^%#~Og@Rp#vayq{%_-J}Y)MH8>b!FE@~Rh48-tc;IBh@Zi)^=5*e-l^o5L5b
zXMcVO2AVtlJ{$-jo5B}t>n2IOwh|%ChMET>@I2txU8>7~jc0%0m2Jm9e@4Nn1MeU9
zcQ4xCc*_VLqEJwK1<ssC+RdcH;gge-oNZ+)V)^WsH;q?B8sETuqMi+qokS^drjj*=
zCUqm}?P?y97^udSE7;To{e5p#_FnlIChd7tDQ21AX-=7>N++LGWsSufd`PZeeRmyV
znv`TeN|zrdwdRG_wS~OL<LC+_dbTGxkCjMn4ZV1QG47=@${~|O&$T(o&&A+Il^7TH
z`GgDybgJxLwVBr;h4GfHo)=OTjhc+8XNu9~NEtbDxfIo$puSMI#Fz{$b%>JZ+^^h^
zA)CZ36uuIs`Dkea>{1BX-Z8H{`UsJv?AZe8f`Y0ImUW>J$QKsPi@rDIe>C`EDL`}V
zOmj4LE+stdT0PIA`8}x`d!h*P-*;eKYG{av1LhzXMIABA=!zdz3I&$AHyK#i@>7l7
z5%hg=kvtV%S@^v~hmTJuePsoS5sv1c1JgJwN@HCu((uC2g*+8x>kf@+hSl1iF=fgj
zw^_TFlG+@#J0KgYp%qx?d&|io56D?kp^rkI$qf<jFWO{ljvr=cl$&m2gn$1@9NBF@
z9@c<;`-|&O^GMuX2mE-tRMsK{>ioWo2h339N7ua5x`hKeogXE<@`BwUS2^8ug_ZnS
z*knBq*4^di>#TS40rk6(;0oNJ_m!TyqlVpIhs(TE4ux?bS<TD|hOsR%^0Rewx#E|0
ze3K~5qk;1;W{C_>r<;!%MLMcoxEW-aU{)7cl+HQl;9o5>x?Y*hKAl-iT81NGZO^0t
zk@{+0l$WQYf*m_h!eX3296=$U5ryYUJQV1@74<^w$D4Ef8TE7X<w6+#uMT_(G5Ry!
zMvnLF>jY0hZ|vU=dHRXLuR_|DE(*^&ch%k<YwxE(5R{62@46kpXHq0I-oK0`0f<g2
zUh^uO7$VAKhLLgc4z@=s0}rDG<YevhOD&i>H8TCurP_ppT5UvP6WO?--s&lc)DS84
zevN{a@85wy=Aof4yn6wbPPX1d?K6&Joal*RhCGboD?xo=so{o)+a0W4D1M({&}DU(
z1%lO1HDuOeNE`54HGl-=2TP{K!ZC`C$#yaC11w0_&r<HMmJf>{HGdgA!+()`c+VdM
zvep0KS1Ag>5QHxJ!0s58(*@L$d8V#`2dnpYE{U=8OY-DV6LXa-!(`|k$IXghXoYjx
z7ls8IX-U?SDxDkJVO^CNn9DHfK$PJ1L4K!2(u|7p+~AquB^3k$wQlni#@Iw%^BTb7
zAD?-SJvm@?6q|p8(%iJtBX>iNH|j<EJPX0u7Snf`<?)otA5D~FGFklvEcttQ5j>c)
z>)c`VMi-BTvU(;8Tc?mo{5ebR{Tk)GmC*bvr0|A>IB1L2QFhD5%d=;k-enitFeL5K
zi(ei5zJc@#PHjZBd8dN!yS5N8nL>t%zz)fv&V0Sqee>d7N0U3?Cfw60YJJXF3Da{h
zWEb?1N@jjvE_Y(+j7u#Z0Q6l(Wk%7P%zN#y7koOqP6ES(>=jBpSzBIvC}Wr`c!tL?
z4Nvhp5;HGvNj2B>>^3I~#<S^T?1-9({hE;OLP5obl2>1y{^;MzkpFf-D24=*-9>EX
zd(%U*9nc|`q$;ckEWXBkQ^K!~S0G{9Y^XzBt}~9mr`AS=)4LU|gY6&p@R7su`bl-F
zbk}}31<r5YJRbrY^|*&Hh~t$`l;fpEHY4*|tceJbV!^>0t45F7qYsxoZ^6zwccS5P
z;HC=@L2C5JE=W##WB<<!;D1!;5cCcEt$Z(KlP_iGNXvDWszH|bq{xdX8^RL3tcgI!
z<b-$?Ltc?cT#)UdP)V_r4*O2a_oLU{Xt(1#QOv&h+4UE99s2P=T4+@@*RIvcW#td&
zocpvZK49<RerFgoqdh9M*1=MCLT}hw{`A%E<i@$xho0QQy&7%l`v9=1?!y?Bq0NH&
z9&Pd#wJ`7EQ7X2mv6<HwNBPc~ML&^^<>~h`E3S$U0~LQ=_83%Eth+6`QC<%FC^N+q
zAzciL5UcR#iJ|c&$B5YX2PD5#sZ@s1(|#aRK=nB|R*s<iU6b+($qj(yJ97;jwm<R}
z>)?>S+igpl2`*f8YxTDx<`2#0;N%41T;H!$IjBGD&Fi?ixc<_X48S2I?$h-T)3FlB
z5bnScRlh>po-2wTxbx`&u37^M13bbf*7Fe<`aQhqKSR?1dtm7+@6-(dN)7nGdCuSM
zURaLwFU7xW7mgZ&lP(@tK!5tHx1q3t_}$-Yznf}KOcZXL%BR5RJa6K=kB|+TW9#lY
zdC&W^5#NJiT@D&ylavesei@686+8eTHK@d*^)Yu>_~~<bALEX(%7Tjb#ICGIG-i_N
zMc_(N9f!x{d&Znzmh|^ZNxg_u|ItSJPM$!bfQh4CYs87O+|{(^D`MTdcMO(W9qqUf
zTlb!t&3<=60us(uyK1EN0!wnS+04i8q;g(02B8u8EDPOeR2HY)dvO)BYqbjK7f7!c
z*Ym)(U%=uB_F%@RjbC*f4C(0y1n`RGvoP(J2${zl)`;z#EU{w-EK9XnDL|)CVoAj#
zv63O}R{Ys&4U}9KN3azZmPTtbHc}77_jN)4e}A6}50%q1Rifjr#hDo`7{ieGkXHDR
zvPi!)NYWtS<B{%(TW5`o>!cvkrpT0tS;|5jN->*D`fB($--UTWSd#opeSKEt9y|tU
zX)Fi+oQra=sBh>=tBYgFPTd?F9&+D_MVdZS7tm*sa^9khLY?u?dTxH#RujC~O@dj$
znU{$_*@gt%xyGmG=dPP~{)<(F@*gwU61Cn&jpbeaqtGI(sjcll(4op{`PM9AAMYy^
zw3(9JhW6#XLMNFVbn(=d@*Wj5KhSQKl|MHMbJp5fr}|GC@0A*R!n52)?R=tC+pUyk
zYMSrUo~2MbpBh2slA0Sryo4aL3hc>%X!=Zh<fHc(iM2$3l_oJ2TysqNyZv4y;*rp7
zysX~uQ1&?WDLQ=MI21J$&Lbi!6E8#OY2a(c62(1V?erfaVVnAy_30Qev(Xg%Q`34v
z?i<V>enq$w%YXLbiGdK-I~tfNWiFm`Q44!)`MrHuV|~`gSDf++f!0D4?ISZNB3hqP
zya`G+Lh1idl6!Dyy*qe|q^&Y3a$4{`>z0Ch&+%<MGs3LSE~CQF=5i8h)(1o&(5|eI
zyGo!yq>Ayq!aNTRKg}$4`d>ngf5mD9g7*e_+)>BH`3e1Hp-#E_(+thi%rl7};nxYj
z_n0M(vfBQ^5!aIva19iG*1*N;Odv48d8bdKb&sQybvtvF|Ko&&9@vK-Tn*81x5AeT
zdn51R+tN|bE3vM<|G4k-dhYY!`DeH`_x6h9Ek5MW(_erXDg)uJe_`sbFsc9`P(0mj
z{)5kob%7Jk=D!*~0CeutJbdj+v!>w<`{y_MjJe)q5lWB1Jvd)&5U(WHFrZ&Gr=kay
zqZXTuVy?02p8hsRCT7gUA++XYCxu6zkXW%T;M{DSTb7~iQi5=b@j5}5#|r(wifq{w
zUqM<A_7kJ(gZV_KlO$U_WaHD1v+Tw>SGtZeUla~pqr31%XfXn@F%gog%qNgl^t?l|
z3a+5cJIx8EYpznX<j9!fL~oWZ5(H&vBRbsfMUy;&mS3K(YDQFRY5cC(YS-Ne4V|{V
z__KF1*$JfcX}8u7Sy^~j-47S+2|IIJoiNfuQAil^e{JZAS`pi#u~8Xjs<l;e(d*NH
zvZlGjf@cM&>O&V&l#T6o)V^=<9F;T4d?U36D^&5Ut4wA2!o&SyiMgaWzanz$B)pko
zYcouJ6NYdGI(o0YVNyl6-YB<kH>O&`ru^*9m%$$~j9{m$vN^b2A-#06-)hjk)mFC4
za}{5XytF$g=o(E(G;(#KZ237{_%aw`ak=pojD5S*2+{<>baE=o5o6tJ{0H7El@gj`
z{?zia`-uG<=RCVOO{?d8tzVj(^?o@(!gyoifGei^&BH}t{B9DNzr~w31wutDrwVFU
zNkLY<bJFf!bk*M+!C(*EcvKtVaVmoE`EHH>epam>pH6Nus-(!Z(0t=p1Kkw{fjeAn
zXKLp_aVLBWgg}nd;I*UT7kf&%*$A*<;Uu9%2qf#nhut9HDL;n!%P^-EV_R%G5^fE4
zZNxl=7_-NjAex2*wAyi+Y8?IdYvF^573B~<$Z*uRE1ee5v0IXIadBO!Q)QAs%S<{e
zksZ+7{j~t>nPW_*_O1gT;vLazY(f~_>__(SVO*wtU_Eguli@<v&Clj_#y2%H-#L$&
zTJJpK!J6jU?}g-i8!>Tv8zjxEuItATDbAGlpL1x<IadD@9fB0kJ8^Py0>}{%I+sGK
zb{RRD{ilt4<FoQih7^CG(Mt^7H}GGGyby4H3=4qwSHoFLMSu?tDs#hub@Y1y=tcg!
z3$M%R^nVyulmJ75#KZCwoKAf1_W)W8VA<da`apH2A#uMqSqRttB=6d%zTOmEJ_1V9
z%&`yN6`a*l2NqO4Ky3dDCquv=Lhd)ms_&>@f>8ss6R69<d(AfhYwce#c+jxLHTd^I
zi4|l^coM#g?Rwnj1{P;PJZSBdgnPTPR>7E~HF}a!<DbO4c?aOY&Br@0a_}Lve8*T{
zKT_{0GeKn`)?$drT4>Web!@qgvH5hD%%liDwXAFOh!9Uz%CSceEy6WB*nE|Kwp6Ui
ze2ei`FMk%fE2Ym%9}4--<EG|vG%VhR1#@NYgXEuNnfMU)R~_P4f3~Il3{`T<j$^*&
zwx&}k)FDCGNljZNA;n#apX{~}bxh^bi6{}Y7<4GnA$X}_#gzvfIlh6*#Un;cNqBpB
zspT&RZi|naJ^xDWhr*LO36~GIL2nLOEJ=YE+o8rg)1wdCtWudx|Dz&bQZWlFhwdi<
zzF@JQ<$Ot+#QHxW_JDQwALCl;3L<Hxq|CX_m7f<nSP}|!6)N+pnsFk+l5>Ws{!8?_
zU7X5yn)6XgDoESUB0C7<ptVjykg<@J!jr(P7PQ~v9NtH`y|z1%yI5OMs#4B&&2*2H
z>t`&WU-GJ2?d#H)jp5Psf;<-;`kY})1mrrp6e=;l9pqQ(S=0q9s9z}2d3H0|#&BaD
zC)%^D5|Wm5>3mWq_$v4>AoSq($XF+{g;oI#3k2TQ3EGdz_zM{V3+;^#_#0P)xuuKc
zbMh|>N%g8*y|-$bfv~W7$zD22OL!P!X=xc4xP15Kh%yi7Zzt+hRf&JjRd!AU&9h+k
z9V7L+-QnRp)qEt-7a}F+6;GE-uOB6Qt^fmV^{M~mJ8W~%u-i@nwe|tz5wuLZ@zcJv
za3bT|Lh^4EnmfRPY~Y(-*6h$i4te=#(SMd|5VL*R!zJ*-$(^ucWicVnST~J23#7K@
z;QNl})y0b|$(vsL&Z9GjC80RDWZ!N-HivPfIar1d0^#;pQ1~=4G0~~f{~9y;k}Z&w
zYzh(cHZIQxD_X{x*B2U@CC#f~z@*&p_TS%v%)>xn%%8Pu96wrc5?u6+cd)ib>R`qR
zm_6}De}g)Q7Z_dLXfhQ0L#eXq?T6E%E9)^hmbU1jy(st+Y;h;tL;0s}0Hd_%&FbpL
zFF21fW?g*h0l*4x+Ch8y2y@XR9Q+N|xSjgdHBhKHU>5*GL-qg66EBMZJ^U)*5pFgr
zS1%BK^G5*Ebs$)W0GYgpgE4!4C-(e?w{C+*Tm9<W>YhK<Z-3dp70T=Q!>}DF`U74a
zaPbc;b3yAC_X7W};yd0lEJ;<?p1P%N&@&TsTg7`|^xfgpCvc5$R-CliMEPg*&=`?e
zPe~&C0}Xx1PMGkC+6O@?42uP-*<5+hYjN;7%Sg&zn&8ENdCg(9XZJzKaq*OELH
zYW<2IJDA9Et>30!6uLF&y6);wr#Zhyg?y)ngP-O(?gqAVC51J&bzL48^4g;leJg4V
zE)cYW!I!#{9Xf4>HTt;o?+WA95lgZ~-&?uNu;>@t_NyRvzNT5RF%Vn~rDo(9HN=4I
z8wy(%+`H5}osiGPp=$B%i@f&xl`^#Z^l-On0nMQ55+@>WS`ZaV+d*+O@#9G_HEtLk
zQIwui4XHzm`D7{Mc~Hg%XbH)VLN$c1OsJ~k-qV&?3W2Q?WppYq7lI%lfCtEq%rw5&
z(R>CYHAI$?LUUc>yXn5=7C8(zV)TJFSr8ovuK$2eq448ey^8BcANaB@Fo~`H(Gnu0
z6zuUP<fW6oKLyB^ZH*_z`fOQPyG<IK*o6Zu+r^wF9<t=qtmId)W<H%yXQZRAX~yfH
zsD(-ClOZN0@$=&Nq;PU^Wl@>(+pXcq!QJw9;PXQ@WRVq6bTv?ZW`=uTgV}{tw)M*!
zyLo|x%QUV8P3T>x5RrwzkEk{8_mS&vcPQKe2!~y-+XM?Yx2O$_>M#6y)lD_MQ$L7o
zuU#hw)>KFEbh4EGY(ohf{~}YFY_WOZ!!i?aFN9|(g_uNvdv>LQEzUwi=1J*XgU^c=
z!FS<O!)cAtD)s~jz3eJx7ZS~9W!Qy$$dF-<*WCR}akOZof%Kj0mnAGEEGx(Nz=0?e
zXV<vA88%<iaJek%hjMibUq-Cnla_W~@LJatykZhM;bn}E@uu$;-~9D#b3Fs>jn-^U
z+a8O(f(|~#B~M>Xx6Y9A4_L`7tr4UX7|vnM{j%XZ_Ui<9TVJ!O8`H)0_=8K1?$vYf
zkI#yy6s%|QCmFzKqROf9(?~izu)}%OVEnq#eANNG4nd%H<*(`AJuqNyvS#)m!LgKZ
zj__I+kaI$QMAAIMk>LZs4*520VPE$HSJ>bFc=p!AeUW!}D4b(V=*0{FAuAALF*Izm
zeY=i5=m|Wy`;EIgE9~R>La!Kj3W4}IGVsG9w+y-^(1*rs+X<w?v`Mw=k<`0`Gb@`i
z*`61~NNg@{UW+m*;@djqshnaonhtGTuP%&R)h7t8Ak#2I+yB~)(qdYilob7PQ$F!v
zMPD8j_p<6&&?&2=uCQO*$>gtj_F~<MYp~j$*OX2|d60Dp<;!PzVfj=A+Vg8|i(_Yk
z{!G+P;P&s2EEBR>r_1KjTcG>P()sAl%3ejPf|M@0%)B)jrFm_i0&P6qwik^9kH;!_
zE)+S5mpp;`qwk1+Tb%FSo_5iqV=hobzJ#z{I?Nc!R=y%)!4xXb&+vuH#t<iD$@%a7
zYMRl>4q(&#OrO8Uu{l_6NK2Nql)>=9v@C;XjFO%Cz4G$-ySVw1P{t4?G%fHi^K7tJ
zEMJ*McM(i}{*2O1o+?*I$Xq+P<r@=1;1=d{=@vtN>>|YdJxlHPD=$so!o9Ljq5ts2
zJpxbD#|7E(!Xu>_p<@cA+LlSY^vVmOlcS@fRA=Io_h4ZBb-rrwxAm3S&xd3Ld{b^#
zA4+?m$4xeu@!Oqg{yA^Vcu1n5E8R|PjU#v+Oy({ruzfOLJreyd-DzcHQdtwn7@4it
zNGDR*sp!iuFkY{I!F|0J;G}*aSg2};Ii_fg(`1sf`7ACka@LGU#g5ZbJ%r-}+j42C
zlz&$nVHAI_khbHeL>=hD$HhH@XH6(s^&ZBiYO@O~E5^&GgCd*9u$Ap#Ap;?D?9w@=
zos$C{=dI3ha;pS9(IN4v)t<NiE|hAU{Q&!RWxVRN^$l$4@$nHf9{T(#xtjkc;(Y4L
ze4}a7J1mTJo)>Km!oGf^8H-I`Xz2p=T2q!Sl(yR4C!aj0zwe#E6u=AA{YOy`H>ovv
z^_(=MU6G3;LFC6Fs<bG?j#4YPo{qYZ97&0u4z^LP4ee3&^2Qq<_M)&-9#<hll4FG(
z?R3V%!*d+JC@2KY@AI79c=i>+z>UwAYV-h^q%yFffoZXbtdLP*ffspDz}h;L<)x^k
zWRFR}K^C;Gu869Dtttnd(6qXZY1i>Imp}6T!?(T`Geer1=N6;<z;~{=m(m{(EU=Gs
zmm2x_vP`8>h-gs31zxwoG92&f7T(hOTi>tQ)+iKT&Uq=EKGpE1__FEZsu78}H0Zr2
zFAH2<5Fbzw))iLc5Z#)4UzQikc=mM5Ak7cf?L9%aCsa{pqX}1Db85$fh&LRK4hWoL
zx{~C`eJT7#4gQxK;Kb*jeJ{JL!J_aj6(T5Wp(Em>#Bo%r8J(0Z_kjWdt?)KCNIhL_
z`xE<h7XrZw280+*OW5(SKzhdiq4x5jG`gvyBM20Aa&{hn+!VsJrc?-Vk>a<I8If;1
zGt3bgAsm7&<u_3B<H-@nE!Xp(9KHM=grfRJ-?ge;&KxynVQJjPF_#CHnq6eT6!ctP
z3+T~BMFuM8+&Bk;g_SPaNokQ+w{h66HYQFVOPr#5@y7nfP3vN0#diF$*v-bXvb8Op
zlLhX6FJDdXN`qKbYb;U^(6_m!9KeT&sVU?kF;v7(4?OVP92|05x*S|tg@&ctIhD8L
z0inQu3-1PErf0PUv;(g2F(4|YUkha~10xI}TE~Rx0HZQ&m$%Y}Rg9paU)C%p`^_|w
z=)b1tATU(o0Foxy_4cmr_H(9(q=%0`MiWjuOiXUH2=|Q{N+xekevRyFa*o>1m5VGn
z&A1Y6#p&Y>6CZ*G`92Z$v%R&2D}?SZfQq3O;U5|*fi-Y$%$ZO!PAd2FWgURl8P}};
zmBa@vGpq^p^|!h@Hr>u>v}BKWn(b!6uULJ-3iWj+UqVT<nSBBreCnT#WbkJ%4PRZ0
zw%-lN&GcAC)7iU@P4{yaZWqDiGX8d!mUJmJ=Ii1q)boLEXb4hBbj3`_+vt-BQWT$>
zxu6?AoW@2Dx<v9w(^9>g0|2{nf8Q3;2JkXAeB0~0dW@ANVMOLa<H|PEe6TY)c2e`a
z_}~{~g}m0VcXW*jeSkZlQVCq|`D6vUnWnK$_DN)8_sdr!;!}#B((p=LoZW@;USzP4
z$fuQ666rsDYs}mTOVv%SbFU%hz%|_Rbce=5Xra65_H73XmPz~BbP@j{$}RdPH*?67
zh%;%Dv-Y|E;e3&5;bOfqNLa1=j?Pa?w*nS-uiI`a^8QAbZK~i80qLQ+Xw@%%C8NGP
zyGhb>mSx^Cqby}s=J)9MA3J=#!W>Z-F*iWsyb7464U$WSjT7U#FM&fn@AN8;1xwaI
z`B(*g(fmIJ7^(C49F>9ZCr)AkHpLOt7HuU&lNwDm%X(IQPD9irgxQK=<I1)0&htD7
z6CPH?w{PEsQ-C#O^02&>?UXAZxoiEqHz)sx>nM{+<+d%d+SYY7*H@O;<O2VFz@L3y
z+R$!Yz&6+J$>(880iAy1yKa1FAV`Q}r{M4!_1q?$SE%W!uedZrWwwbWLG>yS8T>qd
zTp>$Bd4j8&&@T&<TCt=?mH>~PU(Jyr@&g#a>lVqZBm0V1&xz&3;}p>7*(6KXMKlmK
zlX$yohNr3UWHL~)`0d2qlX!vZ52g%|3=yLM3Fwf`p7vN<SW>Vm*=SPId!vhbip2gF
zOk6kqMV<uu&MRGp%^zBUXGTQ7DbJs~?0?d!uI@KJ?QknRZ2IkC6hjqb*|^N{W|t4k
zwZ=B-<<rkuMngpjc9ZI6Az0HnZDdeH_-UCKul9(`kn*BX5xG#FztKl3<i5X84+vXX
z15~PD??5OoeJS?rQJHlP7os+NC>LaT`Wr$Gh^xR3m9!hs@kLX@M+HAe%pVbCC~CgN
zwl4InBjA?+%XRq??#I5cthGHC?Zn;RZj<;Bw#?C;ogJp${fTl@V#d9se70QQcQLf$
zifFLxW_@Qhw%G<)Dq>ld4HhKcm&^6#d}J)B6>V^_wq~HrKkC&-G#^}zmchk*m!rI5
zFg<zGh4pGLYv7i4CW(wcG(FpFo*x1U`nqx4=kHtL^P8hNFXB)~f)h4M6TQ%BM^9Nr
z<0_QL&dx5jJgNPCS;c$ok(r+ojeuHgj8#?MFe-_Zbh`5U=LY)fTm{%{hPGVP>2-UO
z_tX_zCdOD!(?!1Nbi=eJY3+I%CU1<PZ!&kZKy6_aFCx8_-Xc-ua8A-!1lhg8aKpZ9
zUq4$MF?2aCUZcxdx;LQG&x<{KXQ6$@ZYOPRebc;BS7qDO8q3<{kTRYnWtSzPX`yr?
zJdS>A!dQn@UM`L$iX}mY(aJOlQZr`iqRoS)JOc^FAbOT&k?|!P;YN*igx{1POfSo%
zRuds?K{TNxwC63WgrrAM`?%LD{xq(^F==y8sWOg*3i^D9k4-bZVZ2Zx-@WV+LNAAt
z_6|1ydp3Wyl<lc6C}_El|1=$i`!LyJ@VmKdCWG_ZML$u)t-!%;61%=U`@4*hTeb~`
zSDG06#b3KdBlRsEmGdQqq<X-qJ@)Y%uLE+8d7ZzT*NU*Q$Fm$VVPiX1CNzkcL<l1#
zk|y?m(RB#yT~s2-Sb{dLxo9@|<78fdUo&=20;cZi@yCKIB-_x?P+6MJCf~;}$=e?*
z-dT{AOi3Pz*P)-+-8LT$7C$=`d$@Z&AV8o(Sf5xryiQE8r1{vjRwpq>B~Gr5S{k{n
zp>w^M?O#7;_qYUlYXzq=Bj-*pmp(Tj_-2g1F@SNt8h9xO$j!yUR<C*1uQpUo?ey1v
zTiwakX@gI(C28pE8RV%OfZYoE)oc9XwOu`~Eb0P;!qS_7gw=t2WDqGj&Yx87ZY`&%
z=uX^y_U605ypdh(K!!gu45vK1IpY@kUjwf<WinlHn#XxDg3iO*k<8s7+hJs1@2TY1
z3hs^!G{RMSN^4j38dY_ol=n8Nm|CJ>Yb$-Y<iatQL?#)yR%7=4@=o%8L?iUJ`t?`v
zO7{^3e)DHIlmYO<0dV!UWK#Xz6E|Xmh_>=JOFM<vPP8Cp4i92BG?s_XyQ7kytWFj4
z4BBivOj+xHG~?RwI{>E0qtxYy?F2J`89-7M+er-Kdy9n>7#h|NAf+-?d;_0-mGPMA
z+8jpw+)Iomlgs0D#;qp=pH04eMWJJ%OSPa|mB54RBX2q5-4bQnE3$`%EMf<neYy72
zs^>)a#?C9~TEM~dIlIX~a!H|6rOG8fXM$3~nrGGIgyhzGi+q-?L9Hq4P|pXGU(cR>
zVzI(e99%aNo4SEEL$HTQHK_WaJnD+vsvbiw!(m1O5mAg9VMvfQj7Z~1K7DpGp0To7
z$1Gb<N|P^S8e{QpC{qjUAMUpPLWf`M>&e0zyRHAjbC{#*q#st6`<&y|E?M`1kZ?7m
zk-J5Z4d#)T?^oZ8c6h7(<KI&7tl`-A2AAL6MV4y88}^rPVC0=u)#M!%N{oHzR)2J!
zYsnD4qWE+zOTde)%*@0>{v5qnp_G8=@gw(dMFMgwENl!WWc+U2+3oZ8&a&F$e9_s$
zyWB<owas^WzT#%Gt7c}{OBbh$mCcLh1GV-whwT^J9mV}^soE?()AQmJI=cOO61>x<
zk<tqN_><!~dR2XP4I2>)X8!AXTn^s_1Yu}&5wuG^^!e)Lk$qb(ze8q5p#n?>3{ZxX
z6Q5vm4TuyPU6c~(W>$)DXvyN~`ebi`b&5gkj03Rw8ksba$UK+vn7k3+Tv`H{T2S*U
zxs;f{dz<Xmnpbv=d?DHS;1V{<i9MD43C;6(10WsENMzU&=u>v#Yfa=AGiF6j{&rLu
zW$ErO928jMSh8FV-`a_ruWxK{mC}Htxc1bTxubiz8`^D$1}QCK>F<s&439QxJ?cS@
zbI^#Z<-iCycDw(sv1-54mnX;W)U~DLN%_I^#vllud-SAqhYdND_<2M}3id+qAN4iL
zsB)aF<b2A<(^YRNOLa+OfI76Y&(2ndAk9g`Ps>PanBCyV*7i+c$(}%SKN=!NisLGP
zMtfe*N{>LODoknhWfHe$*_TF8wz9cJuCq#XJ|)Ae7L$L7vQBbMBAmGd-bDC`=E))F
z&H4bml6IH@UdusqKUXes`w^5l=)K;i+{9%mMT`5LxPSl%+t>9(OtDz0VX09wB|NpF
z{6T-++RCw(dz+oS?c7Aa(k;qFA|jLq1RUq;0GN4LY^Y4V0?`s1J&Pt5ne2h_qVfB~
zcD5#g807_Rs#o<zE=V%-Xq)<8FACZQI5ZH7V<wo~ui`pki5_LHbZWgBUsf>ESGePr
z*DA)#+|JZ~NAWHYV#>rt?hOC=U4o40hK_(uzcmv5f*Qoa{`*tk$Pv5^%ER6jHm1xs
zM+krX=Do~X&7!GSNNk&Gg)5EMw&tB)yz6t?EUM=yPF<}_7jE5!=(VX2LBQjC#Yy@N
z1KYTmR*kIG;JTuI9ReBn`S;s<>8}%Y99uhHp_-O`VZjR|jEur^HlL0CTOh?%rx*#W
zG$h%bd!l=MiCBh{*HreZ&I~!@U#Fde`nTn^j^Zm%R^o1T3di@NraNHOM;+x){VW&p
z;#0fAwffbi3+rlcOU}>FZ$35drNvQN$)(H}l2bbn>{b>r<s?A*ZgpVat_T38=!US5
za`P?T4B)gZEa)3)X?qb(wr8Y!Uv$(i1o7p7g4)T-&dTBc^8$>?9t4Q6#A@c21=pU<
zJKgU4SOU`_Em}l(M!mM}M<M!!s`=9p>>KeOuYDClc}S}5@}ODG-s;C3{cNj6hY*+i
zK@3c+R4P{Wnk`KRnw6kU8}z!w<-ol8&n$fXs`qcek7WC!$t7*91`@z4Z;u5LsHYT1
z?%;Z;QR-!fPBWEkd$ct+>Ky!1^_T?4OE8?d-4<sqyT`8cY17Ww$<-+-*-C=28)eML
zNs^FStnf(P?J9<HiCG99`7_8xTYLOz$GKl8&ACF!##pU@?`AW8dVByatxBa)Tw$35
z)a=7@m?Pvn?b<R5dk76?*DuL#nLJiW@|#H!vr3tyI26Iw_hqP)1{>hu{3u2glx>|N
z5*py~fc*FF?Y}#C60_~GbN09kz<ev_owNvFKAbg1_R%V*gIwF@@!bPFj&nI(I(bFD
z(_z%;Bb&TyXi{LUzo_tOL-h**gAV(on)-{OiS(Y#W#F-B0;QMVN>Jv;BRDyC##X#a
zGZplPA1y)`5q+$Q+mCAY6&KbqSJ+6z-B1v%V=#Ax*WO4M;484y<j&Q0Vp~rnG0ArS
zKbp=ms>-Yl!-sC9r6r}iyOEY|kZzEa6e;PD?w0QEPU-Fr5h)32<lD?zpTGR!EN7VW
zp1t4axv%RM7<<^)8D!NBXb7)xri6>f)iVvBH(Pg%uO9YW`1;nb7msg0-p-_l%=Bn`
z!2C<aXj1)x`KMeQuMW1|nm3a5H8oCNR~g928sj6yuxut8g^?3|?QGWHE19E~Z?+B+
zu`_u<XU>21v6$zNzpiiwnHHo1LyL3BstM##hT&vjzb!aTp$(`zgRhDO=Pd{X&mR*)
zTS58jfc>l_5!VgF&%!R;4;fkfqP_`_gmhGl;iwRU2H$!vfQqK)8x)QC{20Mv@!KeM
zeGM}RL?_|Fnybf(3SNzGL<$)~)>Ct8<7FkrLTEps_@0GYo<*#MCjQ6uH8(9@TJ_qD
zV_J}zK9``f#OhXwLWV`#Iy$kXwYBxeknqqA;8VaO0)pM(12rPF)$o%9^5=8c*bkS9
ziU!ZD$;96W9!O&rb=!{kQn9M^(Ys}z_IEj|J*rek+}2-Wwi|92Zyx+ZGXX_%_#FV(
zCXwsEY(ewXSCrRdKjYEUT9px%X+_NEc`c=R-3(c&Bp7Rm%jL}HxtwOB{b5SVD~dFP
zTesHYYYIozwF=SelAE$u3Ln7iZQdpn3}Y<)Bu<z^%c~h1qbVdEaf|6bq5cV0UYtIP
zb%t!=CYFQLCVGg(l5Zh-1o+6xl&4r*&aS1KFINPZ@4wGIVG1jL3k$Ke#}C%E9n{8v
zWqGav+|;~{6y-YBa$NlJb1_+`#%;6frXmr6AzgU`$o~P^`2>q>+%3l3>@13Ftb7G#
z0{2*?pb6aH?qUWhYECQ&)rwSVf3Oq9tA@@-ucoBPAFq}U+y_ROKM?-0cuR=mx^e;v
zKlKa@GRr*1*oKa<nq;?LipcBC&R+UxUo_()f4X5Fhyq`DnwQ1}z+k>Kx`e&3nlF&q
z+0tL|Yye+IK?3b}j*CcJ_N3rLyClUPlb(y-J#qQIG0s$VN#)?CsQmqg1$T&1q#Hkp
z?fWbO5iQQy4h3P%bA<rtS5NCcYI+)?P>>8K=$T>Ev|ww@IC;abr48k=qTf?3`l*Mz
zH3_E(oAuHy0)y;T-x1;BsiCN|X|SLxNF=M{F*%fuR=UPaA-#G`D^8XV_ieVFrmsMW
zrwo9#E}&~iMO{fyu90`_sgOM)unl9Fh$^OTU`73qx5ubB3l8*Z&u{(4?OiMr0ccdU
z`om#GD>?)hqT;0dg18hI>ki3mNe6c=ht|8ls#B=hPgnM{bV<Y4iR)lZr6c`_oweq~
z5HgY8!1+4T@pb(s#`#r0(5w8n!j>_1nh;Tf+uk^&TWQ(j?I2PFpR;jBtG(PwIZg;{
z=(qQjn0Vhb?4w|`v}L~GG1W1Kv_o&nciBC;xpevY^dn%VPj{Nh_gtWz#VM?7E=b=L
zv_gTKyvO+tZiDcCekxDn7^_Kc+CsQ=U|Or8Ri!>+sqbGvX}hf7@^wDbhVOiRZP@I*
zkBmuI0D4CgTX_%6?>l_z$W8coZ;Fr)Qg->l6c1EDf4;64!{fkPGMKc$jUh(AyYC9w
zE7FZwbNGD6JP1D4;HBCdNr!9m=409+bsm@rrjOHjv+E@|-7VBhf5=_oCUH2jhqVe7
ztP`v`)&9g3Ptvh3YRm|eiBiuzp7v=fByD0>Jv>_BRkN%0LF&3(0ct-`^e!K7M4ecE
z(pJ7OmKoY=GSwW1by^gmZ@l?1)9)cc@+a}(gKyWKD?bT(h{;U}WzX2=Vrw?CuhY#T
z=9(6A&c>}2T>%C~jW~8&CFu0SVnErUpUnR9@9t?ekW3r=8>e#m0+XZuec}2zjT!@<
z*-y57Cdq{phRLf_J*%dh)w*@kNH)*|_<k10J?n33oJ`9_+F`T31S>MW)-T*{(+vtk
z6g%z3&ss;wvvl`tnu{HpCYg9+KFrQn&W_DWk!(3Gu-bD6rOiT)3-`1w2bqGN&Pwax
zr|K4|WlnjM1PT{ks57@PUdhLj?E8`zOTd}OkO0U$pZynA*?fN5-1KM2+~x9PvoJL^
z<<HDY&6v@AU042lAp`o`z#bMpMLpW;ryryCS%Y*~ntHgB^+rfmUk+Axc1+@^-1~?o
z(3Nx+wT)x_aG`NDwe4+a&|4_EVe9>j(AbPR(eSIkjdRk&Ua?uNe2T}5oaP%X=gg3d
zw*GMPR#4JNZ)3mV5wXrL-9RTOvDLa^W}<lo0kR{hZ~&Lq>&ReJi>cnhI7;YH_u&{P
z0VY4qo_&kpJw~n^*QVy6UCKzaGm}zPnB>ol%#48AUr%_^Rr@=g7@!I_6AxRQLfS7V
z$O`{JP<_@$-82nUWzEZ;N}1o8rxw%%hf<_$#gYW1X`L17@-s((yte3ckkK(UqA
zYb_U96Mw=Z$fh7|2V0_{jc<$gE6v{ZYA5BDdj<msANlw2()lTQHtBBIUHUmr7EU$)
z5{f?=mV{gc&OMZ-1Z>G|gI#j!#JkpWbTNDvj{_rv;rnzEtBo+O@&mWEg4<u0Q-@R0
zm!cE3V!nlO#$r;>A*S2pk||XlO)NhUSJ8ob-n?R3<QEKb+(J!GCr!nm#aRlFRLl)+
zBMZxM#mOu2-p@g{OyVqW%q9I?PI)JMg1S0uKw^V5W_#>%v~>y7VfM5fPftTA%tfWy
zQ0*OwKTIbD^5}g_AorT_L2c7Z4}Btf>7lDGj+8+$^+8wtl-84=ng!yxy=!BvhE5j8
zJGN?C{@)`MCy3+;Gmvh7NRCZkO*F?cYd@sB3De5b(sIZt<G<mUmZoM_y29hM3$*LH
z5;1)}DTR70j|q0h=!#IP$CypP6mJb?_3fbE0HxfAK~BZ6%FYwL3eB#~kW5Q-kJx9E
zZK3RR7zbD1gH&IPwS;a;P~!Fb$a@hX<_###0FM7Z&YGDmWewZb<T*VkAvzMg^Gf26
zc4?$SURV2bh|QJWK=3J_5h8_oN-z!8z0<Lt%$etX2U=y`vj}S%--}`-jz6}Tv#E}w
z(%3om<1u0rn!|VIwA&P+cnujh(kBGI?HRc|T!*Wgs77CS>wNCn+ct(Btpux!4vR=2
zN>2z^rHK#V?W&n8hiJZ^x5k6^SpR{|kUwFd!$i}(K2dJ}B~Lc_I5wH!J#j99XnS&Z
zd62!~8_--396j@+JVo(pxWO0KMqxKa+Mr{N^@Na%J+|I$C`?ct)?PjX!?9|)Ji%5N
z+zo*XOT}ePw=8i(!mRIYqhh7FCEgD@U0BEfat!q3J=`b@yk(EkS1ppm&^0J2s^UKv
zUTbzGN~86wrFxZtaEKPLyFRlW{TwwZ73_o91Xz>~l8RiB^9;w`>QVI*1g4U(c>ZFd
z^HL4Jk=;j^;rzTdR2!FKfmjzs1<ON{vr`psQc0=dzCw>q%en&mc7QQ!B`h(xf1VZ|
z3X*CKj*%w1m2sOo#vxpBPQoal_bFX?==@NND5m<&wHtMSnX)nMP0~Wi5<Rrb5A$wH
zK7a$M(^nor#~pY^@AB?d{0w<(hts1T;MC1m9F3Qv*w30o&bB(9obDy2TOuZ~@VA8G
zM~P|KkJV7C=|SE)QQ~G>1OHlSv>`Wkr}@u*Ium|S7?3m~04R>7ZX*OpG>u3l`21)s
z^h0%l4G_}m(f=OHVXrDrg<fYjVgJ+PMETxi(5d|Zb@AwLV^dSxdgU%JAO}-FRd7wu
zi|+k1^S-l?kL!0LrrRIg(=~TFGh(F;FME%D&|Ytma+A}^oSQ(13V(fk*yl;;Y>X*j
zGoxx6fe2yG_R`nDU)bKU=FNpf-_~WWW!nk*4&1x~x{UA%Tq(?B!CB|3MQ;&ZwFcS_
z)bZ56mc5kXVblJPc9RaW<oN6m@#cF{3nNex!24_2uCU=J98SGZD05WuhPE#2+^pN=
zKr{gx83bLFBy~Uf3m;n11i2lz(~XXH`)i2)qJe=yhZCk%MF&_3+i}<Fy$2dV4D#rt
z({<2iSUV<BS_{2(pZq29HI{t|iR0`+!Q#<ZV|+qSZhKd=pBz#_HJC6bF^`lzd-|(I
zFb?%aaMiTCo#>5C*`16)D@9{C!SU<iANbANc-c9d#3<CxGmszFle+wX8Ap{mZh@Xg
z`7aU*%8wl1`h%)q?mbR=wBlzjQzJxt^2w=9*Jw^F-CQO#AM94X;ZHSU!!2y2+o4>R
z8!>OxExj$`5wXf0hWiLR%z3!#>Yh5As;gPw_fCRaA1=7{0eu!^>z(i3J42J~i&+3w
zt_lngS8;)I)>%$2)z{-V__v)}3YVOU5-C?>HZ*#rtDpQ+-zVBzQsQ7sx0n7F)3uJ)
zU6_X`S7?Ikyb-I+EazzLjQpTehTvqPDhEeR<v1%-j%ZM@VKYNAHeum6ZCis2=u&4a
zVpwS1@6gWTrad^tICwe5MOym1Ll|_LdnqnE!f?2yEG3Bt^zU&5ZHup=K6`vefIwi;
ziUwfIG;HJ(3+npR^yTy*bjMqHwn8BSrtZq23fgp$@#3ffkUy>W+Pe&xe8%{OH!g`6
z-Uab@P-lO5iLjcyk4YeM51M3}OL?5RQvHTiGzG^u51_H)<0KiPW@eyuMx6W%zZqE%
z?;xw`VNjI*1@ag!%VX(cF%N;M5mcBg-RDh_EmFc?!n$_p=ukSWxOzl&+l|fQ3#81a
z*O65@_~)Hseg2E~bvC~>^ghgn@GvC%=}q1zg}OM@>onSCz%KTt-Y4l8>*uZqAS0|1
zI~x~RJj~xJ$MuCJAEu?FmvSmjD!yNBbt;G9V;!idt5Q-Oob{Ngt}v}=JNSI&(k?xv
z+x4dxg@}mAe5V6-4}=DVT7~gZD?LGyu6*x++MngkA0cGWtpPmwqhXvnwk!s%IKkVe
zr_2;d<Co@UF8rArZi@z0oV)x(uS7so3nrHvd6?=T0h+ECGz5+v;%Lw8c{uH_n09T<
z#&+TNnkFn`+`?OFodw%`G0r<MoQUGuCeHk@K%skQeL;84Gl{R0Nq;cnD8tzK=TIIs
z@v9j$k~8OeRd}x4g*DnYz8{O%V)akIb++YxOIy&Tpx60~RxdtI7zHwg2LHZ{pkL~J
zbpi!<yaJccc|UYH|IRSMCp>f<O5@k*>hmc}d@e&65z7yioA)CU+0S?bs6~TN+Hme`
z^I^pUQia*lQFO1_Bf&qqtPv1tr?s;iFlcyw_;9CN`rPo%K6~7v`ch$We7PY)f6_J_
z5;~Bl!8QvskV;Qw+UO@eKTeBPF?#w#_^gFL%7ZeY!;7tS1qs0>1*6A7>|^iB>x_7b
zHmVZV?xNb)yyX*l1_r5$Z$Z$?wP@D5LAPMAhomc?&)4ewrPUH(HfJJFz&&-__og$d
zDqGO=;_7e~jMJ9n>)QEztD6;}Kg87^T^&?O#8E*U-%%vHwBrHx@Sw0rg9iZ~(v4rH
zStdsZ?=wha_;WGWI+br%kmIKWbc7$w+UYd?q$h&`Z>_6Vk~x@pu3d531P3b~%NRq!
z;Wj$<U@NHCkd7`_E+J{>$Sx|z>s5;8ipjs-mu0k&sZM)CSZiR>tc=Bkg_owz@c~1#
zFh&29A>winK19@r0U^9i@TdYegd@qOkk^!}X#xcb&kuswu<+OG3GG6-K;0}~hd+JU
zdMCK;pC&ye#IfNlovfeEi9+67?13~Cla+q)em^6*@DR+TtW{tjx<|`)(s&B%r;1^N
zDYdhmh3TXoNP`DEvqog$6cj7mTIH-%VT?}Hj^XyRTypN(AGbcrQ+AVCZE4aP?tPQn
zhKL$0$l>*<A;F4+@qMk-QK^;@;(W28aw8>A6dOSy+}`K_)S?%8dS%<|?l>w03=7u7
zB`Lk7RtH@A?4IIkI1FS4qEd~%!Q7Q;xq^UDDHSSDtYum=HOakhgMB1s&RJNzFxlNX
zyZlqm>tmRYk_2ev_2A1kVu9*S9dUVm5FTb!gB3pIX)7QpJ1$MVqWK`;6yxFM<~?}u
z4*QA`y?gcWdB{obU2(^-fsXtK)tfl)<iD5Tq>bKfJp}}|yfquSBtRwRa~%Y&@q+_<
zjJmQ-QsY_p)@n?LIz^g9hHlV2vySSDglwTi6S+(pA&|h(gck0i-nbzsQC0LqZ9Zmb
zF3Al9nYcaNis%tB^N%w6$y>d#s*IHtK=l2?Z8qxpy`^4QEYu>R3`A12+kLrKoTl3P
zn_ctRtwL4)QJxM4fdqyX&EXOk2YaxSZ)S$K{NB?)7v(Rj@_N1?N7ZArRqDYdw9n3z
zDg}u*Kxf?CXHYvTQ0QZtTVvAy><C%{4559V)ffu|y{@cqr0SH4%3bIvoxn!6ApGfA
zNH(sF08Y97=?X;(Gk6<Bbjr?5yX+H6-AE1X86u)G2#WG(kmMHMB3#Vkax|<-kwFpm
zXpWo78mt%%h5W<(sw9OL)Au!j)q=}hG=NVz!zOeB_kfwYlzAD4KFbX2MD*cX<f8|)
z3M)z2;Z8?`?g@x6Hx*5a3=u>A{ONlIGT58<6`QS;9aJuBm}_tSML?Ea4XAQ{<;VQH
z253OVwI^WTptgQZ=Qnv;yR;__U+UZ17qlpG8X_7`_nTN;IG``1?0AwD|0?b6&B3HH
zO`}#8IVNWKtUoC^xhfjbPoUEEVVOQ>D|L(&Dw%Mqv7|!WbPrYB9V>PCr)D0$hk$;B
zdQppv&P4KDDIEKlq)Cz*awv3vz@gifs!`db_xrIW{8(}fC=BHf4$Q?_meBBsG720R
zoNSa)Bf1PfWG|c9Y=OEMG%7CJeL7uhVU#z``C4up&aLZOabQZ;TtD+if9-p1B_p3C
ztRHv|fb#B>b9hQenu6wVl<TnlK1#e1NVgZ8ok6Lm71}q~R8EUQ;km=FVrHjWklSb-
zD8bR1v~Vojs4e23Ogsiy65>iM6rwM-pV`x;a!^;M>F)Q2b(ltBN7lH^&bC&H3#=Dp
zYWT|Nacl_$P*F0A)!V)E*G)b^!-onWud^bkQST?veB{)YM?a`H^GCJntGE0-(R|<u
zhQI;>0$^vZ&SBJS)T$F}=)_FHx_IAf1Cb1XtNSHUU0drsOFGbT4g;~$p<4_JU0AUe
zrW0|CJYsdP@Z17Zi_5$nK0_3IQxHp88@oipG+4|Wx1g4K*RR@EIToLMCryDRE<;B$
zWE@FX@bV6Q!g6FD$pzr5G82{(jU?5x)6=Ay>L<&q&myvMwO-f!lP7%tit>G=lG|gk
zX<;LvWs+U!VcN7lo2mG1?%>1t1>$|mQmJwz(ZBZmDh<z48r~W{C8OQGc-bzUzuoHa
zwlr|0M#-ylN`V#3MMoGW3<&O{_aeN~14|q`q9X7-)o@UuAh0W5HB48$lj}rbm69-v
z$WVsRfjtoS?32CML=?#nY1KXsLF+5*2v{&*r49y|nIJi#=9+j?PN4Pt>4LxV2;{Gi
zU!?*S?-R8V_z6~DMz(AImXa*M5Tc?C(Lp!Snj5pD3}eZXKNSMDyH~et?blu@ga|X|
zwTIcbG|DkTa@#A~6rvG%MusG&KWLN2$u<oJJ0%nSC=1Ls#4)d3G~MlfFS!OAAbq`}
zPx343Lq{X}lwph2!`@PHvQ8u6F$;P?Vu<-JVA{|4{=M7X4tdiF_NV|Z$l~*V-tGY}
zTrbwP7ylISk-qr{#^tv!Bo2}Li=_0Wem%*%vlJy`x1ncV;V^<`x(rG;;=4>BbG1x{
zq&9iQ9)`9pK@GBIh3UP;YFH*yn~JNd<(^`MtjN-c)F5(}gl2UH=Bxc6@3pt%tu}u<
z>c3g*OERr;uTin@w76c%8SpSJ1zT$<X3`Z_%jiH$`e_#pR<5O;vynq|U<dvA7N~Pb
zoc440f3DIau+{7;(BzL)?!eiY>6d%hTIL_b^a-hs00Zc`$J*w42_F|HDwIErlP$+d
zULP8Q-%(n>G6xl-*0X0;709z?X3^WEp3iU0>4|Ema?(-`wbls8+e0JkeadyvWp+2k
zgvZyeWp|<RX&!B&FH}`YoI#FedrJ%zu%F^7rQBmPKL^!~%S`5~9YdG2EU8C=qhYz{
zLLJTX9%Qs)q$we+l_NBKkUjQYIS(AGDP~Whj&MKBY{EG!0+{GfbpGDqq{CZvS?vt5
zycBVxNbN)$-QVSeA3`U`mBv4XSHR}Y$)aj?n9bMy({=I~3n7q)lX>$PUc!_66g==?
z*y_fC7yuq*%eaHY?BsFqpM*j_0;ePNk+dp{7kqTu**-=uB7zq%s>j0Yq~EU8rXjX)
zm((=NAHPFGbZsXurSqpX;)1oW2NH^8Uh+ABHf?*9I~-*yXt&NR-Q@*s+5n|<fqv$f
zxFa2n)#&js<M0dB(oate?1qL`=A#fV?`b$LgMyE^>6}5d0OXiX>&NO#*Z70e2;41-
zU4?qeAX=SMAS|9BinkZ^C18jSOPLQYNzfQP)%{w+!>jk*W$+fhGIAOEGF^V6UJxBd
zyvw|AT2ZH!Jg7sew}Oo@Dn)J;f8@1%F_|*jWm+cMBjwTZPXn>qP5UfF?u(Iry+qx<
zg?RfC{W&~Vc6RO^6BV!x+mJi@*SZqKso1bUL8K|w^9^e&KxI|dw!OLba?E`2Ke#&b
z=nQ9MIu2jO7#ZR`3Y9a0m2HBcF`O1a7tD#l5L-@;LB5L!SB95#2dfdzm`naPsCe;+
zqo0!)J1zwI>(MBE?836^yrGVtiV_6^IX-+|vGZT?=Ms$5>>-S<?CJ$@*0Q1|s+u1+
z0}X!A-6^q4yXx9cz2m+&|Na0hAa&a6s<El#<fTRT#RCWEfGCjUy7GSp8mn6%yW$?L
zwW#y-M#Fb$U!W~Au4mD8U<cHw6(%EDu9&$pK`!!0%YNnG6mwu1;L}>eH-(0SjQt7N
zZvksSMrc0^!brS~kcs-NM#0_u9ewTb1if4NY26-__i+BD$UE4=?8RJG=;9b358*_&
z$ehQ-xy`%bkf`idzIJP3vhLI+Q0HNg-ofT**XXr~%NTv5n|4fVA8}Ry6gQ<w)9T4z
zFWn=K=}RdAa-|@MjPvn%YOxv$j7RJcsz2&F_)MC|d9vbzNula|d;6>qt;psWbHyG)
zdaF<)jA<k_LreV{ddGTcDHMd=EVzJCRwn?7z97%G@E5KowIb6m3&!Q*4;aG+yKO5s
z&70ktfekBCO>}y0Ma)5t2JW7oEt+Nac6O`-ciq-S9sKo6^H<Hp=LWCSggQ|DkZ~}a
zw-Cvi6LgtV29PzdBgNUq+0t80#g7h0R6AFCq(WLGY6K!I(VK~)A~dZaDIWRre;j!}
zT>rAcl4f<P{{&3wBw(Rji1*GL*xkf1s_Eimi)=j)L-hak3MMLTgYNUiybi}`KDlGM
zADcEIs>H&RE|QE9x;Oddc`PvY1)`sIl)8rQ_zuKF4_%QV0LYv3WDYlRcfZlZo!%eV
z^YjgIaEg9|H+SUb^w@tjR#K?RRUw^M$KW;}lo2U5oVqJ#5*brXVme^n*vkbOs}Iup
zm5B~9U!7)N_jb5BluG54B%i`difLHY5@ud+YH!z9)tS6JZ9S?~lT#crwXGO0B#RyP
zL+w^r)R0$$<S~4coD$soI>A*);@F2_QclRxb`EVJ4c-04_D5j?a(62aVh%Kfg3E~A
z#ICfzrGCR@M(E9LC-VJQ`GA$_!+f!NOPnTJW1F?n)%PDMK%OaG+E-{YaKJl%dzWN5
zly;O|Mw;3i!4J_EvgOi2R+n*WbW~#8^uYeGeZ~lgh{Uh)AX*K@K>zsrEO5a?F!?(o
z+YX9=iAL_h(p*CrMC}j6EeS~l&ddy(fy^p-KnxHOx}!73ndV``zuTAS=@BVRd$?O*
zzY;YUoWj4;O*k*ew0t}M(^hip##Q2H<~8*WF9^-ns>)>xbu>BoJW2w4r{h+4d$Mt~
zK)@>1pAN&b7fQ5k^XZgIR`}&z?S3}9(<xi7;Nt!B)%#4PgL#APliio`{PXeTzhm$R
z9dM*TYR~5d?}-Jeh{274=S)WfEyNz2cca%@(+FZY3G_4Ke(LSbgmcm+-OzgWsnKNy
zStt(s)Gj^EE$Ubh90o&IS9qgtEKJ=|`^4W0E*2>;=rqx3NK8Sv0UjUhZtgyf^+6*?
zjgY%by|G*V+N~~hBzrWcSeLuXwMrYY!n9IoO;n4{7qFKQBVmb5m}+jN(`S9($r40H
zwvQ(X?vVVMO2k9%eL^63U#@n)O0JbBMY8A>#9XRV`2Q>b-Y}Ln#3+1p*c|Rg*O1S_
zvW@_X;Q3yo^QhJH+vKsCzk6we4Y72rY@bnF=+vygt<O<PFHVAKco=-*s$k);<2dgw
zZ5-nSd6@}GH=8B{&3h?m=DABe^SK;6+1Zm%U>vQ#h!y}!X=aPwhZy7U$HuoHr9<aP
z=Zj)b)e5Ja_cwIbD<#^*R*<nGsnQn>{zhAsBinFfMyAB{_nR_7KaBn|z|{V!HRmg{
zc4!d#4^&QwHs{gb%UzRdtT(9Da+2$EXW%jq{uk{l2!hOxXI3_;&=87)k77o*A1&4B
zZO>NdQENdfSe^ngH$ogzD%i$6DMj%}rJ{!Ida#UZUw8Kj!?e_9bm~VY?IbMjQxTW~
z3cRWc5J1nGnU#VQKGqNS5<0cQlI=V9qf!eCHdILy-b)KGfi0$#<E)tLY>m?&D_S@p
z__QoFCM@N5;nmH}GLkUuUtAsz$9KAJMf5tqfc*3qBUf8n6wEfSx?W_SYUm2;-<HM}
zK$k<FY%`!V87AOdyQ#Krsv8iU!XwenJgkecse!BCdbS_*0nM>>z^JL4WXS)%BMjs9
z2fO(~%Q{WxLmBGUiJu)kmsw^4dhgL*<2n3}0O&_SLatNc3KA_mBqTMi<6!H$Cc?L^
zX9!YFcIkhSM|&@f?NKlX<kznJ<F)0ENzWhmIHgWmp`oLoLrwm?mbDKzho93RGH777
zk46kV4j0S_4Su_@$Q3f9`Wob(-=HNLA&NN+NE<3v6d(B@;>s5{pHYYmCcwf#G%B~!
zU`|P3G11@yr>)ebY2--?9GV{F0@bQGz_%I@uszPXXymWz@|hu#S@?MTyjxzs(QkD<
z1b2ORNB*Vd<-4UJ;TQ3*CogejMa7HO{vlB0Hc;=xuHtFv%j3}Gmw%TrBL6(_gTW*F
z!n%GryYW2(Wmrx3Bb)zDHecM`7I!x<Xivw<e_r99SH2jKEbr5n7hn|#gBQU>skyBU
z>^wGKaMi(&kAp1F7c844-Wj`v%}?`}FNWfmzc@F9^nMYPYaeOKhu+qSJk-5l=QUc!
zw@*Va=kqJyKY@~S4o$C!dBM<)#pfbE+h;HKT_*r%$L8zg0N8AL-=BKu;z`+3NCFeR
z+q_nhswwY&-@I@A2Eun<_}jHOSt8BEWa=BW?FlXM?Z}zVo15^_Sco5HoueDNv?!g_
zSB*FdsK9VsiH%9^+C21NpOu4E0(l8G^ZswFJ-=!NS&&sa*9DQGHU18dY7^G#Ot4d-
z+BL{E_}MUD!eWPq<LN=*_xl@@VJWS_<S^M;0B}%Xe(pUA{A&o3dI<%J2k=GyP&(q>
z;6V0W-8^ytZd=OMT)irseyjkF0j8g^Z<N9@v9%{xL7w$b8i!>@L8@gpyXlmbIvWa;
zPKf?cj&x?-8a;zDx0H99VyKQNqP1p$bh;Y|4ugTU96i?1IoQ2`%>{0uC_FYXs)tBF
z5(2Y|*ITPp2MHekZtAAObh@{27U*80-JH9_*rbH)(BH)Z;i0;>nRoGbf@s!g<3pEJ
zDkTizy|D$QCh9*nF8;xQ0vDm=9~;}c|G?5qHMVoj<GUB*JROB_%iWhzrXfNaAeI7g
zJ6}JxPCmmgFKLj}GqyiZw5!_0Lp2N1D(YB&Rm({sBZIf>H=RS<^4EsG>ZIQl1{ezJ
z7vg_>Up;B9Ts`_bvhhHqaw@Xu^4Y+|-d>R|k?O}?UD0RTP%B0)Rc2Wkik<J}i`U9k
zEj8552^vL%=A$=N;A%ODOp2MDoDBS6R>tJASQQNkwdxvc*=eLPLv_nzCn9ch>BFDn
zwcc4IUjzdWS6;Ezyvs~%9LLGeeyDCKwbuY8HE7}qLUftMON|(WphVT_-CCS?PW1ME
zVSqkpWhRTxUC-@tdxQIHP+6>B6~=tUE@_ZC>mV_9%`2D6kfrVw#6I<`m<$M9!43&1
zV>*iG3QjBu5t+@HP2q+KxIZ~g!)8`02wFgL%DI|rPJeQNfGJBms4w=3qbzsSFtc`G
zowVL!)Ya+HXG<r<NnXds)0Q|P9#g`s4QL6<6J0E5uW<j=zoN`s$v>Ty<wF;h>UF~A
z`ff#UO3#3#aW3hd6V$|*&PcVBur2A|LMR?$D9jHO<(@>!at6(g<fH6Mo`Yhe-Sik7
z0j%v+i$_nQHpIR%Kmw4M?NwP3QF&iArrGzabUJxb@Xh+?Nmu?3HD*B&dwzUTNkm1V
zO<ul$dsMO)G+!=gfb8M<liK(kr{X41hkf2>_yFYx5CuTkq5)0)6EG&<d}Z<3ehIC-
z0Z4p$)(&vy{QLXi`7ev_d4v=3f2wdpno*&fHMM`|QxdNL+WrA0zzF07{ym&+uC4tC
z=DsL0UpDuaA`i;~&gm{|I92pdZWnt$fT_6*4BTIO-Q^K7Ylp9Ce0OLxwY1LWs5jtA
zzdW9Ul%#~@)yp^4E1@flgU6kLh%?Vg?<}8-A1{XV{Xd!ct{UcQr&09$%9{9Od*MxW
zS?{47ai|17v2E9UWI&mdW!-S%rr^HRz=hxy4~3#d_*PiSol=lNVbToo5B@?`3)V6i
z8Y%TQ!w`jo{l?mf&aMFZ290%%1{o=-AbVt}zcJ5TuzE*=?adiU{`@O!mV^-FlSLX&
z)r~rAH)O)SULUy6!z_%H?z;VF$f@N9E)7NTRI;)w^6%X$+^lIEnri+-bc7`6+W%6N
zsg{V25lz+BoD>g~Iw*_zsoxOFVgwH`&P=nT2qNP<jYjSVLy*%27U0NwU}2==f-n^A
z3^H~29CxyI0o3X|5mpR9k7VXdl5Eum{eE`U>ELEw(|FawN}Jzw?<t%}>)KkqFfsX@
zV;+0QBh~v6XLZZ-Gt7lyvCIb5V!R{SL^*XsJ}u;M!&J(`K&cTM>Sq^wu#LY(n-0)Q
z5xEk4ISibLSq9__l$Jn&5SS`+7v`dJpe~ghTW5{T*c=s@M}b7fejwWds0ij)^4|F8
zWE+XpH+Ay_j;y#x=jV&Vw)=KUUE7;q_oRKBdjFEzFjWp;X}xW*X#h+ol{(KgH$wsV
zhLe{OnK&1DopG7}E(Y`~=3>a%A}KdD(k>9wL6ON~VLCwi7(C%1M(2if`@q{}s2DzT
z*$%vC$xFtZggp}+wuV$yv&~|>Thfzf!j?zx)JD5rf70jtW)Q_s=NHz5L8Nj>iWAKN
zm2y1#ZFlDLI=JEd(gMBrqfZ;S1wzB6I4Aa6WGuZs!v+_hyHrbfqwAi-QWV}owyM){
zHemcDBUnnZwKU&;Ft%$y4}uP<OESWPuv)oG)gDvrJD6ub-n<i;*G(@36_B6>x%okV
zk|`-81<D`AGwVG^oAqt9Aii;f4bAXAY?^<n+uygQ+7KQxl%IM(bFNwiNy((NUlCMk
zqe0A}V&NL|%fiY1p!YOV?r;!N=2L(76bLh&ey{d#XbZHqSeB;^T!Rn&)%z9Ya9~J3
z-PP#WPh65&lK%JV>id(a&#EJO)_Comxee%j${23yPV4W8bF}t|EZ@i2HV8;<eK}e5
zwFhh@kOB@-#t5qZeEY(~|2KgGv9l<FFTW(-yhs9_!Q=RR`Q_ha%)ehT(0;1FP2W5$
zfuM2;0;uEw4t1W2D$j?Pf*w%yk-qt8K|J*3>fM*CpFCZ6tt9_d^t}870MBpiSiXLF
z69{}Ie9QCYlIP`l-ME`@--s2++?8JQKkx+oo1kOP=kHKU;O*^@h(n|&ctgKw>w0M0
zPkL!%yBMatS#z1x0>X?TQt#smkcoSBjr;|_8(+Zds(6=o_Ry6@&8ysrqH1rDgUF*s
zg;VNny=G^Lwyh}v-wKK!6(3tfY2i<uFJlNugKK}tN~HeH<zNN%hWlyonvT2XZgWZq
zD@N4YCgVLSQRH*JCu~Q9$H58G%oR7n<AjkEk9cdc4Si*T*Wkuue%`3BrHzOcz?b1P
z)XHbps)~9QEm6q=eX>rKGl43y!0SX(*2U~i76eqqt@C-`85^WVr&xD*n$MuU7>nT=
z`cOjTOXB=D=A#5(?a(3>4fMCRvVPUNbz4ZO#UzJ<uvM>+Re#MpaCAov6umWv&27&L
zC(=h^sp@BNA`UT5G1tKlE^fw%Bgl%7lpSbr98TOzGDb(IFjM<MjVz9WX4A3|WmK4B
zG>p$$DJ3-$us?&@-@+|zYmkx=iin7a&juA2s?A*f@F9YV%5L~AVLKhu-AAy*9C7>I
z;&Q+&dEi<=OTRpS45htmwR;4J>`-lbny#5$u)|iYX>TVUI={d7ilg$D(6S{NsyXoV
z%t8<&D;TRC!&iH|BtK&)$K*UQ>Sy$0X4LfbxlM2@EA;bSqG6R~#mUV><xvv-&Ax0z
z9uQ!GrPmivox>yi$Qp3IfM3p%P7?-;ObDVXIJ@UHoQk79)}YmgJDuecRA>?<M4uPT
zQ5>vYws%M*vMdql=)_S$(;307ZSm1e!|K}(A$4ecxytzN81|_QL#O*2y#PPg1T-WA
zB*wVY2co1^a0*CF%jUgOxt@VG1+1a@gI*(-@0QE41t|8U*J%D?WY1A5axrD_zDrNh
zQ{TWQBip!bOT@z6zg8u;YnyKNxnoD+IZ`5IUB|<Yd0LFbBS7N0ENZT!9jA16cW+qG
zNurjWQH$@6<b>UiYO7pz$u&m7z7DB93NS%MF6ZS|B$M$34>#GRSaWm&Baz!4*ux-N
z*c9te4yqDGDGl0`H2D>3PZPl}SMqkd?Wh_52;eeULaIqpW~gz_BY`vrqJ0OSb524y
z&n3n8<jUy9NMYWg@vX(D<z@1N$NS>{v~tx|(8^m5Gqr}39@b)AJ|75d-ho;2t0AYC
zv9fVh?JW>zT=oHXlzi8f{Njnv&#_eSjCG*|Yyp`6!qC@H?uGNYI4sKc1xuY5Z;cR0
zqc%AabX_oXIj<*y`I$Yq!GC#j5xH>zI{1SF*nbUuN7YbV;dw7F2T*>me70a7n%;=`
zKKdh&-rfUABDgIWD{X;bI%q&nFkjwrt#Q?0ve%l-7MU!}m|7^|%QcoRG1kRzG1Ejc
zq6k@F(_9U<@eihp_Wsn8%HlVenxSn=-Lh6Y=nC5UNCu;{$Fz=o*LnHfOlTnlWY9)*
zq_zaCqL92YYacR*va&WSpIO$q!4)FYY_C|+eiMPIgGQ~et*IrC=HTpAo{zvq<Y;QT
z)`eEdCs2VFZBC;UGWj!VueC&m3SAf2b3;JL1tgW0>nsrj1Qc9273id3p{c%Aq{G3F
zIjSi;OhMuxEjixk&2l(w(%kF?GHq;w`0=lQe-pkwuA4+(W@aTb#wI~Ya5!Epu3YQI
zoS8<~Efh6Rp|C*3C*x9NP@Zq*E=#dVXHwWjf*?`~5t*g@WUTmcuO5RotF<gZv*_Vx
zHpOYbnnO7IjlrRuOP^zq_n`7TWxM~lOr;Yj^<}X}qe_3??!bZAyH+^xX{<ZBpDMBs
zWs0ZbxDnH!_JMlxIB$Vy%Any(pO{vd?hO|$tlKii9bF6GNqYwo?~u>dcdC}noR+^o
zwV4Myf)DSR-V1{Un)$$~>dV?SK)m^GO~#32sHH=9hc=wqpw)~!TT;@VjeTbFfuJgS
zN@}od;8dY`&f63N7R;-`^Yri_5Gs??f$JVO28_$^nIC38*(q3K2Eah}?nwkl0$-mA
zd!Onnhi9z~CTh_qf^7lGU@z4EQl>c!Wa^)|81WD8MWu~;!MbCgut=%^A{If;xX|lR
zcNHA4u+i$+fdpZUThswV>pYrHQo)Y`yvf&l5ms?fjfoG{9%q?yz8lEk%#Hs6+n8N~
z0w*2rF*BW9F;20H9$@tGTl1LaF=Ky@ZUrrdxYOKNC?pm(E^ttLhkpmp$AJjnf*oP{
zw{5b@&t@DMh?xd<L#>OV0P)2sq)p)BTlQD~C>a@31ri!rEW2}E6Y38wUyO~nmDYE`
zPUmjx?(3s-x4KvcB5{1aEJUWX<bXHu@alNEZYbu>^XB08C@pK7MiVq<;Op_XRq)ia
zcQ3Z5BROYZ@apRXMi?$GF3*E6FVd1%6YiatgTL=z4%g{-Z=S$0>gf$j3b_z`URmq}
zcBz=Z4^QlZn8D<b7nx0ydpDmUx?u?HKOo?ktW`ifHx;=yUHp9YavHz%_`F2N-wc0U
z7u)kR)cpL=`TYB+#{p*!NKn^*%%B{mikoo=t7uBGQU@iSa=JYjIdSIFHnnig`BT54
z55*{^*Im#wkc2?Px0?%O{n1U-Oe-|y9<!-I53l{Pl9RO6y0!Ps(Zqady_<_kUr$O@
zEMw{|J~kGOibdGxZSSmu2Vp3-!SCM`fYSN(-*Sbxi2m5zQI6?vOr~Q11dzkMS<TPM
zRI=nGJTGx9?5xD2Vua*KVG0Pwx;LHD>0OKz3QH=?ULF6M6R%O{Qk<F#g6oUyTWkE?
z=%!@~6;yftyD{~LYy1ZaiQFu<(WyMPV9bxYJVic1Z5$b6OZ_2a`)s#M3`r53lrZA*
zW{mlqJyUt+NiKWAkzz22xCR{ZrNbq<>eFNt7m~28$i2`o>Zs1Nc2JQRxfN~btr=9>
z$akD3b={iEb&<{x8}Zf2($M46hWMr$c(5=vPqyIGtnj`h7;V;-c8H^DI`0CAS5rX3
z1sJ;k?Q1%)B8-n7!oks-seL1pX&$tMvrR9fLy=sYbzj=uC@6LgdpfG<_<dhn>C2s-
z_){TNyH#V+rhzsbG`MZvte#vyPbkb0H$~ODjMxb;$MU_aQ-iHAQOk*DM459yd;W60
z!8KT0&iLlbrrUB;-Q?3;M{8MIS&=t9k>o#_NEm5he1xD-3Y%LBBqS<BaViz69Lz9j
zim*Y%FnpM8%Q*-k65BZz7nazg)b04y73=!!`n-X`qMF7*XO(SL!^U%nfq~lWI*04c
zRpi#(Wv-fK=DK&)=ZR(SlY<Vy_s6EW?1i6p^cUPuZY*^^?evFT@MubBa@N!&5g<Y1
z7?rj=rZCOkmekUH7w&ZqlvzaHWI2-blfl{jg!yhlqOI(GGIuz5zdjAiIsk)*Hid2A
zeq$fJuPkfK8tFiXu;v(DlP|gfHJ|=s!vcCp-?@kW>6+U**cd<fiu-6G%wF(~`a?Aq
z(6hQ!mY<Qt4DmRuRqGv~u}QKArJ66do=j#7IPFN{2ZQe>tvb6pZ}Pf!CYNMu349%Q
zft&d&TQDJKvNVna;1T$C0YsqN&nRhAFR%N57xN%O!b?1oc}WvkGc?9wO=&uZiEU~f
zcZCfh?-!d6qLMP|$P+<RF}6f<qYbAA^r}v*&enI^F~?wJ1B9!3eE*6=3Mkk5*sS_g
zT%sM1O-_plBDX`-Ti4&N%H&OOaT?MLgIN0-c%*!vj+X-Ib0=%<I0-%ZvrSCRr!kN-
z)yeR3n2d9EDAJzlc?dOtCFj|4)%t^P!W-vvK^~t#nPJko*G}g<QoM5!zL3EspiFll
z{{s^C2!3T+Rh^)8rN#UqGm``Y^1)qQ);<8){e0852}-A(9`wM3@87j&P+QOXzew~8
zQvjQbVXUdO+If3FWF7pa_%p^a3F!t5{E1YH`QG77fxP?e$4wMkE)ifS0Cj?OqA$e(
zFE8l`dj9&seW~3B(+x)W>=YwptEQ^~C>Ff<D;EohB`WoWb)E>s()s~7;?Oh<sJ!15
zOcK&AfA+GjtsW7+hk-t5Kjk#RotG-JAViAMzu=JR0lN@Z^d)XJVrm*CnKWEeHqjmC
z7Jnod)ax>ABq(6-pWo83PTN@Oa44{la~ybR9MUHq?hu8?cM;x^E4jP7dq5O%nUJ@r
zOlX~HQ!ia6C&$RJ7IuETJrC>-Nq9+z^=-4F_5mQg^S8AK%}f9iT#LmBSC#}hl#ZC$
zj{qlR786r=RIXWdGNbtg;yBD`_q~PaB^<Jf8dx(Ik{>F=wpRFRf<uh)NYLz~_<2UX
z9Gz0>wav_gQgRDi@LUibhp(&^V(-2OtfYnBTeIXK$7W6(Kx2F1%Q!;F^1qvu5h7=|
zmzKacu5hbex|SQ3Wdmtn)<QaM_`)J6NHG5p%sr@)<!G>L&G0e*JY&mZ;u7(lNA;hV
zoW;0F)Nc#B`*<tW@Ui#D#YsHa;nUSHPj`W+kN(I{P$BNbMYQ34r5>syadZXNtsNbo
zG2SpD2|^MI=AI=EJ_nuI+kN~9aFRlE{(ZCeLud+KE_3T<E@Etgm03=9W0{a34kdX0
z6vE>vSi`oaCU<3tQT$Z~AmvZ}3xPbo#e}n%;cSC<lvIR6j*u*fJ$uNwJogx@%@sXz
z>Qg~uogS0cOMY-@ODj*Zw_+3h_){N0_~rDA9u+I02cBSrOeLL@9bTnnVP!*hfZfW`
zH7}cHL!(+wBsw^*uA{W<GsWJo;r9*?S0c|{*@DbHa2s7d4n`3T{EUYT`(cEde@6Po
zt9E`*UGcZf@NX#@BA7)k;2#mpdRI<;28$=($J_0aK_{P+l?Koc`nC<XArOL>)3xvL
zG5e)L5xj;imU&oOBDiPqZ%Y-}kshO1=18h-^DEt_?j~4l=^lv_jsBp5LFuE<7tUVk
zYb?_&aCII{{UJDp=?Oa@3SAb5v_E2oI;{5j%}lAP^ifa-P9T$eiwWgWVOk5VfkY)d
zo=Wlb`N0IpAbffEx2J8$k@tHs!xTjT#e{-xAR9CkL;~;{g(J?ZT`Ml@N=299zhfAx
zN`fMwRW_1B-Z;rhz8XOj4yS-LoBHlw_o!OzJl<VW$9Iw3B)?nU*zg68JML74|5W}U
zlq2NwQ=vh3KLa#oF|x39jRnM3aju=Xcs8vvJ<}dZpd0$W&f7eL=_Xm$r7J!6(d~Iz
zvON`mTgKMDyWX$RP)$uu@Wt|A{SngfIhMQEVs2w~RlxmJ3@;c&TuD~g8}b}}58@Xj
zh@1QCJA0eFi=z|+RvzVdyrkkEbtl`lklt1Edo6@O$9Bs_n1vOWo4!tEq;J{fm5sBS
zVoO&q<}Z7Fqx~A6iV+%m@t(tCqX>e;R7YUmS%CqSTeE<nS{l!(*vE<!wkH=kv@2I&
z5_#BN|09ykBHey(UJ}0d5-`G$tric9TTX~Ned2@TDc#>Cua2y<2XpuMqgHTaFfIwS
zQ&VWt<1V@l?VcM|4RIp)<r1pf_r;!Squ*}?_XJqREj=EaVaB%n!d0LfhAF*mgcg;-
zKUdMRvtjfj+m*Gl8Cj_zX>fYWnwT&IA0>qXK~1F;B$s43ZQep#6H4X7)u2Am5mt!o
z?qzez<5@YEq-M>np^|N^mXH}_8T|C^z_Ys)WyQFk*9o2&Bdt7BjQ#c4=Xc5FeW7{3
zRvK)RLtaPaD>jg!^Usz<$*R~ZPp1E<Al^8(j5_`6&DV?BNg3Rit18#_6&-iYwUK%B
zXIs5NL9nDDUhA8QvOY!O51(4(>Ev508<-gmMrlQL#6OfSzm{?uHFv&>7w&!X4}BYt
z1e2C@DAR^ljn;<`Gj-?V)FHP^++4FDb;K6$pW3%!b5kNjCy<Fwae8u6VEy|@<=csy
z5p9a%?s`^*R1jO4fK{ZHn<6Ux2pNOkntlBND|T((v7?F1NNw70&G`A&Ii_viXl$aI
zx=YEq{ly9c&?1u_jx~Ad@H$FM4k#5<#%XNy-P-3YgCV92ZEf$(k|Mq?_V(H$=)Q8G
z+%U%;0nNWPo?_T8mqIbM@MzRHg#ENJLpbO>=hFCD!k=3;%QA($8#mA185bwelh};B
zz3Ypo`@0=Nl+19agqCl;a!JM%iguy<G3TL=;kxpDqofLsXO_3}tzCAL$C?F%4W5fo
zpx6|Hx`1sEe2&)CV^fuX;hDKDDbxrD@b@hrnoP1vR-+yxuG(@|DUX?znNE*P+n0??
zx&3G$cnuAy&<yt^I+dW@pnwFIL$$zLFxu70=?eV)11bZ|&LH0k>E4O@vE3EZFq?Z6
zhs09uk0G#=G~q*mze_9O9Gl`3f99!#B@eSuN3p6?Xy3bxGud}pp0{FrX9-;g0y8zM
z2%}K|e*W?drfE|!d|qK)kE2}~3U6OTdH=4!7W~hxJCXnWhp;y4KQH|AsK|)+O3&z-
zcmf)}yPYpH&4*IFby6weFaI82P|#%K;F}OY41hDt_AaqMY|!CD7%{|Pci)LW)cY2v
z6QI@2G?jm$hifDKGSXagbi$b|J(2eaI0*`|xowu|7F&^KE6;g{ncVF=c?~DiLRq;f
zA>S6ZHJg9wzxkk-Vkmf;tshYtU%kTQvq_VeODJ<xf8uJ?hpJ{k3ws);Rg(*sUQKJE
z0v&7HLC3L*Ex-&HfMoJLp*Nw;TP*Ti*9pyqOz9UZ-!&Fq!F=(G#{`AFKHB`_#UGQ;
z2MfO*4D!^Ay^IU4z{_bzN5_m#>E;;?e_;S)6ZH4qNaQQUW^Hx%eLQ@-6?7fPDf`+_
z7VIdEHb(>z?#tW|LQZ5C*m^5mx+pj-4&7HZAM&N!Qlc|M8OhnJhj|<4)dw^&tFw3l
z^VoL+gWk!RiEiQge^A%`G=k4DU{R98tuTZ`@cy-uCM<m)m0Vsf{_QU<^@_AbaZLt6
z^CyauNDulEitRQ=L$W;3MLwDzQJR)&^o$f7M35e<$YicgGJm1uyhP?_2`wl4Oi8>g
zMj4*RkS|}T(yeG=_;bEt!B5%fG)He_`prUKNV;ZYC;k7k0KtF6L*q936wTW%&H~Tl
z`T&s$x-0}%u8Fr1Z^Bgx*o@N13z8)G5v^;ZBT&`*u5;(YpeUgI@#2Kt*Zp2QsU*;I
z12FV-Yo?y#TZ$1@%UH7o3uEQS<|0!&s&;<rxH;sBmNBod1NxdILCBk0UX%e)+>bs@
zP<@`dF<7$BgHA1!3KGSM<#;r*Rf}yO;cFWj%(=6F4clod09rK^qo#M>`n|#EQO$xm
z&)IifAuB99?(}_VG0EL?-kQA9R<(Ko%cfUJada!|JtZ0gU=0YOTtE0;i~9^|c)Pf8
zthD2ocA#Iytp0WW$Se+5$4XN55Q7@h=gq%dn=xcQDYvokmGFMtAx@KAyt;hM8iQIk
z?z`vqSdL?((T4V^AHTz5Rp>s^@tB+M1eTMEOg$DdbV_a8(Cul{l8Mx-gSq)|0$bPe
zg&;(~&aj`CWn~*>6dO28@2HS0Xp6Y+%<IoPJIfBfvJD#JJ^nPra<`(`;uE_=eL@OC
zwF^ARKmGccSR^IF#f3ZM<a!;OIGSAA`e#_TKj=Kj>3nLrrKROzm}(sp%)?kAf<Qpk
z6sc!BD!12n+j;iT`TzCy*_rm_4FmnFt3sZR!=&?PxQda@r)E9q=jj;VD>y@6t=x9*
zk%42pJx}z>6R~?kG1;g}bFH_h)gPAm@FzTK4HOIWzs|&8f{FR7J;#L=m=?AP&(!@a
zGi;PX(T41Q)Y}9fw4p@94_ZbTmxrSVH(1APLKz3BYS<{0yz)Z`U%4Au*t!Qc8|!;;
z|8b*@{L_6?{t6KQGEmT%`;3a(waisWSn|KG%6092Y4+wr<4XK|ooJ-5sFN3f!`~Y>
zez^ucukB(o6qcrJ_mMnkaFH{&cI}sc{*_u--mi;a6tWDeGz{z%;Y&fGjD(Vdq4RbU
zdY|=~u!{<<s`wTc+imSvk!A>Uqa54mE7AK;DVJ?u{i=`}4Yg!Mb3<c7uUQN}l%5vv
zjU~k?)^{vxWv-ab(e(eyR6KMIZ}Pq-G6fEWE#g}pbU3#Hfeve5Jsau0RLWr~G$iv^
zEMc6fiEx+{RmH9xPj<BYxR2}k$d+o|a=SdV2w_xs9&5C)(HTTpSpM&AmhDrk!=H@w
zbnzQ~q||21w3xN&_C0V%j$NwS#D;~a%5C1rFE(M($?GHX9w2l&Asjz-^PKvXCA&U}
z?pOM#vhZ*Wf>z+GhbKVwm8h?rTu01J2=+1%Jcx)xAgp*0$PdCn5_$|di{>tI*0ooB
zvYe2d2GS_$`lr2eg(8wvDns~+CH$$+MkXV6G__$$9=)47qh*-LeM0pmY{B_L!#PSG
zl(}R<+Y}Wj^?s9SP2^Jn*g~@%Q#b7olz+@uQe)9BPgzwV5ZN~YNe!BaY$V+cr(abH
zYTMg=hMrza$=>xe{U~2=l`{E~_US=AB8mVs>ed+n+HR<Z`qWP+XS~nY92VJgLspC1
zz1=w9>4v85Ovuy9!YvD7OmXUiznV+E3h99MlG<q_M}-+SlrtI;>sRr@E%ItVY3bzq
z&I~B2JU$IO#vU&R^Wd5MF)lU?Hdf+DatjrF9RE~^@`MiszNl$;8m1;n6-n@RV8a&#
z2wedTVJrpW51n$HWa^WuTedQT*F`8zEo3IaRa5j-gG(Tl0O%)D6LHQ?A6Y?HJP7m<
za8Z3>i|cOM0v&D-pp{^~>uI%XeQiy!+*B)it@a!Yr6*pzA9tYm{Q-m-x`2AQWzjSd
zD=y^q6qdOz2=yHOG0Hjs%xTf-UyOInT0Sx7OKoDZ@FU{)ddld+Z}dDsE!^YF8hUGg
zaB#5d-|wnUPM3B|NtFb10^o@AZt4t~x^&m1VK98|k^BoRMgD#=GBO3>yqHcVp^-YL
zsiNA4_y`!pKWXW|e`3@fcioFF^)w*jz!UiF&hwR#HbAG-k?tS&qTn1?%mXZE&W4j`
z9KJ?rqHe_?Urb){=Gn(Xx7R|DZ&XVAmPn!T#VcN`3Na@bjBF-Q>e!J{ABNGjzS0+1
zMX^U;n+lVbiY+TY5u?YzX2^MNAdp6FEG>asV(RT`X(n5r=l^Ir%cv;ZuZs`e9n#%`
zbc1wvH`1LVNQcth4I)T)H&TLhcT0CkgU@^MU+bOEESR~OE6zE4@81sOE7`_r-B|K3
z#PHuoZOY3{W1mtMKp_9kz1<!iq{)QI+I9dNL1-*ltbomJ$Zbd?9R>oiorc3F^Xz9Z
zC#2AJq|Q@~PiCN%r;^pR=;>!(#$3Q-`d(NrOf#x$W;oO5m|GtoW-B;=6*nM20LwF(
zy3(iM!|CkyXPz5~2q7r=PVZIM(GqD|Iod3Uo7-+eO>Ls(J_(HvnBrnX^iAZ$4Rfn<
za<Z}nsf1)a8EaTC<PagT+dpi*byeQ~`axGw0}YX<Z@v0Q5zM!FG_ODCIy_LDIFQC7
zwL5+X7e*Mh%{Otq<?@>#D>pYcC&zDVb^|N+!k0m#h~E{$5VMMsEIZ%*o|H-yA_{AM
zm-QZ%9kQ7{=!yza%777N^n6bir}d6>+>pzWAjXTc-dCP3VPjQx6!ilPw9iZj2+(uq
zlkP1qYf&txn%sK&IT$Tzu)MrBBQGy04@S6A`4_Xg^ed=CViI{u4Qhc5fwXdEohDpF
zo!!cj`4?Afbg1W^7Xs0AQ;iG)Uc9jHM>s0EWr#(4x3sbFBjyXE_54&~da8~&2F$3L
zDcT9K__m}LYVou7c7K?`y8fkbrS8|&ESj}~kw*Pk*I-@rac}molfq{hPG-ru@2ej_
zFG$O4dYqsxYc7u#R+x~{zb%c=Blr%b(2cyuMiDcPKJGHR$!laKtV+0#;p>Ig=fdSv
z)pqB}YNJHuGv(!oHZXdG`hwb-ttBp8w!}3}n$CY0X%{F0F?Vosa`N^D`FdvlUCBYd
zn<=3{Qb9}(c)hPMfpdQ_J-rBFO^zCWCHuZkWk8J6q(Q{%2=#UT`pPWm+GTNmc#TYd
zrOj_*cY)9gK==62`R}G0<S1<X^Bn}y=znK`3-1+HP#E;Q#s7Rs{@>-R_T#_RiI>%a
zxcA5q&{cX>cL8kNSK%e<)!6?+VE=&zIHU$>hV~y=?qWf%C#3tjuv8^iNRJ3QrKR)T
zZUE+PK`}P}R%Pf8#6(gpPhCExOo8>Eizz|xy9-Tam*k>DS+ocPTvSxgov@}z2qFWi
z=_Frk0gHtAFHRM$1|I6A4Uc&!2n&%dd|O%_O>o;eJdk@3ZFu{2euc|IF2aBF#&6?4
z@VU6B%tb|e3G%b|(fI@8%~MtT!$UgoAGs5T1h{-05HjgTW_nEG4^iX81LGl+dE-jP
zp-A7{+G%_lgY%;D2~gqF2H$AW(@Hy>9EfA|ucMtuihU*GM;!3#-6s7!B4;F*c#Xbq
z=oSJuV<@;fM7i7TM~vzfFdD|`ZQ7P@@VSbb62i6_oJ!C->OKV}XA?xp<Bdh{!ez@w
zR_t1wBazBaNM*xN13`L+OlLGoQ9I1`3o4LkV5iL#|1?%BMl*1;Kc^Szx~=+arolw{
z#QSQtzOACNqqRIkHs<yl`eB0dIlD+?`j1jn8CDRNHvd!vKn&O_<hkMReT#3&jjsSF
z4;zIxRo5GP<M|VNT~<%_9p9>APKxdA*R#)(%wzlVRGM@vBNhL|CVZFFK6GiygYsH^
zDvkX%kBBtx;wP&9F$nq@bUi!(!H`5T13@;><`wFtlKqb%#8+m6&ghB#Va#G!<_AkH
ztMG^)M<{Jv59vaf3-KH05gEFZ8K0+-)dJDHC?~z+<Dj@|i+&edw&8r5H|tUQW15~X
zuSXjid8?m0hi*qfA)arrw!pvm<+r|18WYAqx>K_t0qXE?ou3;YMhCDXk>5t<Lvm0c
z7z{Gx73|Cr(gm;f>8yRIZdVd2Dp9%5CDk<04MdQ0jz5Od8<?9OxBpIt@<V*Een|G~
zSMsd(Rto95Y=2bEGrA4!>@}#(>CXXh2)Eq7PdWD)VFz}I>`<|Kg@b!VkvDqoMs9H}
z`+TvOQ2p(LO3rv>>-d~AzubEoAVzE(i5HAksfef$hQ0k!UIsrgr3tr5&BY(H-TT=h
zE*nq4;&JLh{kB-DPA_Bp3bkhrA1$w7+t$5O-nD2)n=Qrb@@=a~tebK5!iQ-I-+$NN
z0%m~M=hf0W7)$!}ijbp`%k@4gC4cTAe@-BONcj2h_-B{p_N#(=`|{oy2r_}9q8Z3m
z03L|Y97v-^{BI`wZ|hlI@?K{?A0CEvUM)laz5(rqm6a9d<*VaC<z-go<+bR<`0oM(
zAW1&F{?$*wAZ6F+{qNa}>M=>=Aqn)B{8+a#$hU%U?uRU{-T-|jP>G#<5;*r>Xdgz8
zNh1`wfDzezO>lkP0UioO9t*-Y9*=Z>B14*C<GaF4w!F0IzDy&&1YzFiGk|&G$J5c>
zDXBgii?D&Y?r_R*Mdf4u9!ZSPcst5l*oj}?QNU|Lp-;CE7732iK_Ha6u<(e?O$o?u
zysqV%Gjq5QF33cG$|bGGS3>hD<#*OXgqPo|VU&f!98?^r&6uzoFqhlhV-`Mn#tCk+
znZcFxn6S-De3ib2CcxMCns1(mh-)emm;=$lPLgdb{@w2J2d;buCQc;raP=(xCn-kN
zi4=mZ68d&{G@##fY?%0wJpDyEvP4U9*DDq^ggP$}8kb67fHtq_@Nd6z+<DWfVqcT!
z4A}}4O&AG6M<kkkk>2$&5i;u~@iFnoj;&q%ZY!#{9rDH9zH~NOr8Ho0&5f5Q7T8b%
z)y?Lns@`Kzv9gw(Hs~?9(ko!Bro~hJz<uTDIunBd3756F`t)+L_O|FuWS1a#<p%-Z
z{`d1p!}mhhWdOun9I0P<EBZ%ChOd`Yt$c28x7Nvd#gix=VxlkDg%(yZk$_MH&FgmV
zQvZ<*B5&;piC3pG1M0}@j%UX-zg7f?pC=`(g9^?3m5t|5z+@C%D_w9Yyio2QoJIr^
zuH4*a^nLPr-lzZTiiwF?T3YgGH~KdUzC8H{tI~Hv=1wP^NhX`(=)G%s8c~NchO*;Q
zW`%SE{2R6I5|b4R3T?&^J(K6Xg5E9Ki9AT)Riz&NWqK=m<(hA1`ayUyCBKceWkVqo
zoB(j<^|-;bNUCCrIJA2TCab@OaM_AA*VX0EcZERkstPS%^2>tcl6ICk3|uIBm?3<a
z2AIJl^*v{2PMEOGoaB<IUnmfMcX#IC?b4uLTuHQKvF78Vas(dT?jm<%W9Pwdt=^z3
zjE;>-P1*Yp$Jv``a9n551up*n?jc-6e0>c7ut3x9aqK&I7D@mEp(@l(pv$NyW;sAp
zqBh6Vk!Q5b&!SsG8THiRl38R(C&uE^T}afNA8C~dgvde|tM%xLEt+<sG1ahsrfS>n
zt<KKQ!l)RzjK={Q%v$=^Z4&fQ&?3>y5U+3MJ<pz@F1?|76wW%XBq-xwQ6pDVz7Z}*
zv!$<KV?g}=dGpHdilEQcH8gyV*|?9{cplq${`KMc*9z~g(EltHucV>Z<^A8Q#PWVS
z4$KLGRt5}tPhW$M{GWk{8xH+1NE5pTSUJvb52LTPX!`1J4;kNHc_x5WB=SF>?km^?
zjEF!q__zCrZ})&)H0=$P(;d$(6N6Cz3>)yT@xxOiU{SCJJd7ZG1+b~O_m2m|!}1ST
z+n_!5%368pWqt02N#E-PTG&?^)~jZu7#Q*UVE<k1jsVT~f6$QEt-^SZvC}h|UDNiw
zLM<#637fU9`CB;1xbW#T&M+Ik?kFra!&4b*js68o(};sRhaBQ(4e$q+TP+6<UCz;^
z1MXtVQ1XG`?ivw~$t<v%LIEXP|D}b!L~XkZ86)trVd$?5->P<&{Ew`w&_7G6mk)nE
zZS47rA{nbMV$2EhBxTS$W*X~3j;||6uB27IZf;b?2_Ny0SRtZ;hk!XFboA`xm;!X1
z*-3WQx6Yr^_EbPLj0*x2Kui}zH^cDVhLKCGb6m5oeSoXD86^IXe-<Xx=J$C4+N+?W
zu^K%#OmD5q8#ZzpT-QVr{`&Qy=h3EB!?XqbC>$l>xrUj3W^92?wgEdaqo)vA3peX_
z{?)k<tO3UKy7_R6Kh`UmV-_eH88K*tBfs+!b|91#DMQaM@^WI+2{-yLnoq!E3;;lH
zPSuqMxW~KctzwFm3O6JAaPKnL*P0#R#K0+ko9Hd?)vP@Q1DV*(*rNs_0#<j$M?@J2
z1n5g0h-)uv4&JC!1|kHRe4NT=vtcT;8%q7vNsGanvxTnzM<G8SaFM_jIEDMxC8>@4
zV7+I|A-9odgk$157;}Dk%H|XKe2UEdhiHJTuB{DPLvc*t_O%Rm-0Ly9R#yhIg)q}a
zr)Ch5^fqM}P!-_2W6t2v<N0QoRutG(ZL069k3~PIE5nv?Bn_8p3Vysq7)}P;4q<mc
zADWtn$ti*siW!OR7fPx}-kT#LD(5V&(rj8PvJZk=Qj~8ozgNGYb|5l^aAP*0qc|y5
z*hBjEhe|;Y8@xz=W3Ufg3BBo5K>Lors+)Jp<jgD8x4O!)V1+7IW9^2`SWUIW#G2=0
zy5fG`q6l^Y;kf|MYTnYmZu7mpqsWY{2s~G|kv(I-G$iYdJJP`jL>xqpze2<4KeG&S
zFNoOut7AW?4=2&9RB`aA+x<0Ud6^DuT{(4fbY!;=iKU`bXzV31gj|dTLm^G7hIWk1
zbIwRct?smc%w><AkJhtSGnzjj!0m^Xm`x2ev)dVcjCXpIvKkqYz~u(=M>{2vFXrsr
zy}Z2ot{LRuzl!0<aMfZ`Aq{-wm5F=a6H;;T=8o-qQ{e3xd>#&V;aB!-GphfY+qWkm
zyZ$@~+!#RJAzJDiF>U$}zvI7`^ML=JHUgf2dE?tNpaTN!);h<(?q6?WT~N-F&R>au
zYd9cE@Rgx?0cb4uJ&B!Q`{0mzc=dJzk%`~KuGfgm?CaJ5JRu_Y;AejGe=st7UF&-0
zqpu0IuV^L9+=(a|g3#FQaKlF?*_?eIODxU0%#r6e8j%jstsbZPi8N_4Z{&10A@CK2
z`0ml%^G9{FsI)MUH=VIL;}l6d7lxryIksm@oA8FVS%f3ZM6i&s_AhRx!TGECyWPzC
zu&eux5J;Y<KXv<=3!#@eN2;4LS&ZrAa8c1%N9}S=ukQ9?o-x;iqKJCpQ2Dksf$LZ4
z%V!fEpK*_0*-n{Fbzc3_a7+bgBO&1=RjvD8cb9BAmP;|jymid&pr)<Vl2WUsWVbIH
zfJH_%jCsdsFe~l8hda*=t|Z$o`+=Qv^Om`o&~BeNtMx0X@>8^>6?KOy5h*HE=f2Rw
z<CXEvyTvF#vN`)2D93R0Hlo)YOmYn4cT(*kVS?d`N4*N>=x7_7$ULxtFWMf^%HoOU
ztt?6Lfln+wK!DI`%o>?beAu{Z#ia3DRW}HU2j21R*wQ%l-H(+I)eFr{O^e}fIz)H;
z|GrTr86xSW6e`?;@>t#6&FxzJ4r%+~2X~Xaj2$Y(oTsXWslG#F)I!RGLMh;0<PT*s
zGKCs$ik1<A_-D{r50ZZA@gL?f8h;ocAII_$={2>f1i!w<XX^(qx)=N8y1sUhgKBXv
zZOT4#TxL=ixm2~Wp&^jGRUJDah-DU4&C78(N19onj>xn+LP5+G5hG^yg(krKl*#;V
z%*u_;&B=b>H{=aAOY$^^*jt517@orJQVv>YkF7#&)JB7>GXB^kt#W%o6&|TQ_U-&b
ze$F%;;d2?S^Q8(=y9aOMpbWQWH*qR`BO{>MXt_>CfrDuD4@g@{D~dI2(n9k?2sYnY
zO5cN_%;0n}9Ia@DVGn&pE%h6!Dg7OODmpKJ9~2r0NWTNKKxqxZrIs=oXe3C3C2YKB
zJx)a#vqIvJg=5k)`4(#V_G-TOJZDokLLzW)(NC)NhOeMP1kbR)`HcCoschU$Wb<<p
zpbpI0dCf2+z4gj{t#&;gCwAtm(+!s$#Fd@AexqQcLNI@0V`CyVI~W4?lKwF>Z?NI_
z&q4uK%*#mSjzb!iW;2aQSoOx`Bly_!u+?e}X`fv;GTiO#j%c<1Ab!~dq658DqYlq0
zrKUA`Ez^2Y2qbN(NmhVE0j>R+N)sc_C78Mca+cH`01Of^fqf6BU^epVp@3ZY{Jir4
zuH~@1+gtyWLH`pV@%ryIB04PKJ`BUG>@IMj^UVE!V(TDK*}r<KL@py#fI})J1+Vhv
z>gwtmuCQw)D4bq7TXlkgIIC(+^~`^nkoi$>Qe9*4D-ICs-F5y4h8@=i|4j%K9a!92
zVcoz|zb9<697Hbvn$4#-7`a#~&7G8)S*q}nZ!+I*H@w{pGd$9qlpIFI)AA~kJv0-1
zLw?62y=7kFi%}5fA0U_rVXMMHgoZY-yEgfwBC1a97}j=(-vt|#>dvH5$Te%irt1=W
zM=yLVT<or7`hKSq=Mh||q4B7`7m)J0sVq!rGo@?~#%<VR>E!MMZOR)T6+K%;qqxMa
z#aN>=ZHLD1nc5trOthL}R*7PK==B~BBxp$YZHX6)`HT-75;R{j?M6#N@IOVfD;-69
zOK5N9Q@Uj_>iyRIE#5Y4zsv)%DMvygVE^OSrO->nrO3{uo6y)>>iIyxC-)8we{@ZR
zRc$BAz{*oR-&4CC1yTP&Q)wQ>S%ke81s%5PSXvE4{?=j}g*J^j<|D&Fl6*N7P$FVg
z1V+HMu8saD&cI@C@0a<<;e$kv)|&>)RJ{Rp%48uU!S<FGPfgB%;4~;HwP<PTKR<}{
z0)xOO{;WX#nTlzEANR@0<-%~lxM*V}heWrZyhCX5#D(c!-Ypr{4A+g{&mAEIJ1-eN
zXh^aYiDN=Yhis+pgoNT9zDc>1A4OzzLAGS=_}Oiey=2!p5LSXyW5^;uIWr@J5oaW6
zh(>AVihjS%sZv`oyA-{zX2}74lRNEmZg!$v%A07{)7j6qOzet+r%bfOUQ+qB5Mk2E
z(bm?bCGGOY+FJJhg%fPCJ7_3Xcc&8-pxSj!!i9s-X~#B5aPEWt`KcJV1qhPG<>b)Y
zsbeIY-+oiZR3tMnj9ZL=hd^Mi*xxjTOI?@!ml=BakPO*oFPEy&4rdGOmkJd{0&W5i
z=(uoj8`pvI;AJm##luE#tKp**>D7<EG4VAgFd`n$URhty1-<00y7t4vL%!JNNHd>)
z_1$^XolHrXIQHmHp3yFEf2+M*j*IO}Pc9-$z0h#=Vd(<E#sb@({Lt4Q%~(gd*6>iy
zu1vmJHmYzJP+pm8=;QbXCB5<KnBu8Z2(JmiFrOazbl%>IN8;BV+mA~mI4FCPLXZg9
z$h@vKGyHF;<B}t@Vz*(%E;uwR(~5`q&s%;;{41fb3U_6@vN8>si1|u4Qini0@hKS0
z1|fHHn+iF(ebJY%NgfUJ-~f09c|!7L4t-C69pcq-74Xy?;6s7asq_5G>jj$o_phSs
zZQ>1GBO_t2tDV>W_$ve(W3qS4asZI4Y`DI>s|mLDD$|7zuDY?){qQ#ploIY6W|X#>
zv4iF#j_a~e-;|{FoF2!?h#Z!9TAOHY1xBCj(gvk|HSI-N6{|XuV*NoY_8`P-*-0R;
zD`Qf)XU-Q3B_V*7!ef@UnkIE7C&@Rr;!Cj7M+`z%<HW{?U}MpmYHG!lep0S`G`n7$
zo>nL9XAx8|y4s5}&oX1_LBxcOke+hNC{?6On4GJ?5@jPD9~~d(A&T+t^e2y60!fd*
z)-?neBJH$srO@@5wiijItWc4-6H_l6k~tC+#@)3Ryxv9Y%vw@&+Uoa5?uSNOsOKH@
zyL~Ui%WLX?j6c;|AToFVK`b{?YOPJQ#~x}{>MB0`LULolK^Qmqc4)V2F#}e@EV!RZ
z4lk$IwYT3{Ylht%H6p07`?ox`8k<>6M@~fl7c3g1Qys@K?%bQos$^I)sU2|VcjO`h
z<&BPXnx=4lE;=RiOYK(*2p4lu<OjkS>ASK3jp_v;KD-y;9WW#`W<mg4Q=}^MyLV)T
z8*vv`uhCi@PHO9u=*@4iretFfysJYrEMYp5KYj?fv{LW<<R{ZFUzoVhZ?4Fw6`Phe
z#M0lj>cwyD?LmS{wuMML%@uMMlBoj`)p<z1-9NQLxjp?zLxgu{SM}D&y1>VD&V6Jr
z_C@<4!|gTY4<xyxOa7YSS_5x*eSKbEf$=K^@J?99H^fyhE&JDf@}LUz=POPwE9AZ9
zfPvHsqQM&5|JxZ=Y%L=b^l$(rJVyrZ%nU$E1D)!NzmLi3<{m8HJ|`z<^Fj)N`R(nk
z?%j~+qVTTSa`g;f9!(<^hdO(}0uSRn{g+v5q7Lcwsy1&Six?<nj8+R&sBS2&@1`Wo
z@IrE@^=*mG1wg|g;BL3(%28Q=24^pKOl9RBu@@|un^+3PbLQuk*U4>O(a5Tb_%)nf
zCHJpifTL3E%x!oHwh>HVLz7|k0!WZM?~2p0?`&%$8e}J7$|6?|_>f4`V-W&{i=1Wm
znZ2Dsl-QbIhE<|koE>_@l(XI8-LC1dJvR{^1xb$)oBJeW)3b->h6XQnh%5`}CAJSW
zsM&>6HQ?@0U8KZywHzDeNtGB2xA|BNCcFrXnCJe{=zC=i*NLh_2GXga1A?iAbXWIr
zq#5=3I62+eu0VI29CGo$emIjKXp><;5Lhl*MP5O?ui4!Hz6m@k1ObXe%aX%mxqt4y
z<wBv0RG~V*>!1E8*J)r$1>Y*gM!wN?C{d7pg*Aw&_y1Y|Y2Vd+o{`{628J;mQJh%V
z5UqkY*P0M4wJg`vMjeLI%g~sys^-e?q9aTk4fC1e3tA(CCTP`qrr|ggd2sLXwG4>M
za&h?F*9b}}vGh%$kTAJyB;cWdlvNA~pGsLtiF=S`;*sjJgDJBv)EC4b@jmN3^zTp(
zKkftacUVCF9c<yO4cD;aI<H`pbK|^RLLd!9Rft%?Z&Z&KEwT*li>N(ktc<C;+Ucn0
za#W{Ydy9fWV0f_mT1A<6tln9nveqy%bYQ71k!a#Cl*8IK4eNL2@81$rD8QWnw}^KZ
z&y^KbgXk|gqCY&Y`R}8=EdS|FmEBLnxkPg^!_Q9zs^0qwEtI+`um?$*hQJxP9Stl<
zrGJ-(eMcR}NY?O`4Rv8*fu(t1rJ9)8J$mG4<*d%_JFi?`K|!Btaw8C=uU+1^1<tQj
zvtIy3ZCp)Wxgq1Zq?#I}dWtUW2~fIpDBlcT{7p{Lc{3z3450(-iknB<(qOxGE)XK_
z)Q`_h*ka8kD?mVffJiTvJc%kPbaX|Z?QBm^kfi)jb9f2ubj<A9^0FOX7A0$$I+AqR
ze*s|wS)YIr3ITwv3zNYD^zrd&c%gwng2aA99yvjpU@=&p;2_MKk(+5?mO?^UU`p5N
zP+VTcE^G?djUn03`#=gI8RQ>z2R!D{QAJ#-hZ6_6!#=i-ZDFBED*MWb6IF$TlkEIs
zvO)+Ok8%kL!mPW%inSY>g!}j4d`d0B2DOo9B*abum<vjTymC+EAb^E0Z2b6s;!X|#
zt=NFl!gSWg!O<~eYdIh1o6F!II-d&HIm{#dyIy?2B|n9$l9Uvxc_NCDmU6AAu=ngr
z>ZGn{1edF&qkyMTMIYO4WLVkCmg!E0#GvF&v+r)g1q*_+60ije)%<Y|BiqHZGwtIM
zl=eQ}nyhW;g|bbeykU<q`J5O@Osq~jTP@!CiJyusI4ousmhL|P)h5kHUuF2c)_04q
zsAM5y1r7naPprwcxmNZ3A|e4QS3Y-PFN?Io=RsVxbrG9|xkI4Pk?->}*4(Xh6e2?q
zQ;kiQx_KRAVKgx^TBcflUhcs<LkQ;sDs4_qV4+<yxDmB09M;O-sr;_7;C}2ytuj|a
z0LRN&E2XwLRpOY1NYx<S?T>bpJ#1*tSz<Al$(A^XP09vFGeOXmRNuZhw&ucLj<G@U
zXv*X#_sVJYy5WaX4)Bd47@o6ci(%!uqyn2c7-^%cFe5@A6DeeVJdTed;eN}JaKdkp
zi8pg8o+L1srNAl;?*_gMd?dG{XKcqXU%2PvJsMyF=cgi~Grhv_NFYKJBPhETRpF#o
z{7_uq(TG&G`XcwmFCxoSOnxvCeqQRiq52VMYa)TnhS=v~WmWVkjd6oCMq1M1xwqPz
zZW_%dcDBa%?WHbB9BuU*yv#oi92t4ysVLNppUdZ`24-R!ej(3a7(@dYy*XA|EljZJ
zBvSFw*dsWlGe8F8KGO%Y)U%QEW?1uzIXlv!c(Sbk<Zw^WH?np6m+D%1W5ZRqj4fI^
zulG1W8h??Pib5&>9`IvurNRtW`S*8!hJ8D)T>Gg@VBU3ZUztR+w6^BhsL$HR`4_8;
zzNVVqIzzG!7HZc;*7v)iAECJg3qDf%KSSD##KRu=nfS{6l%B``3_gPl`nvY^k#?1F
z0XYdKbZs2;#+9|!8kl{)eKAZ6J^Vpel0m&x{!}et&SSQSC#l2M812UmvhW39MFJAw
z$M1A<>i9ok#U>qi&Zl9^8ITW*WrHLH_@s|tht{z_plI+=j*gfxZdau>c0fD{%<>A>
zBb!rt4i6d&A9cxj9plxCn=&?G1`fuT&5*Sb{{2&rmH&B?<)$sqweRlZ%VS49Dna!9
zhT88+p_wOb9T2jlm#U@fI{a;OEMBpj8)gLa?a-0xI||Vx_+9<wT0t02;hods4)R%w
za&Kq$pS=XMx|Tnn^pr21`g1*s-x_ZJr51`5P;NSTbKJ`5vhShpyubIoQbVN?Q@|<u
zbD7Y7tk#P&dL!q7S>kg*vC239(sPk)w~1?x5stS)9_5~n4#8A=KI;j{FJNVKyMBZ9
z2h%)2Rs{(i_n;dC4*~jV5EF+B5qdl*Kv+QylYn?eaIt+DVn7ijZ)x8<jZ7$nsw*(k
zWcX-{q9jU{)RmK@{XTi2Sj*e<DODTZq`H;sczo}Hy(J@SI+hGQ%)o99=4TO6s-BZq
zp17RyTs5IVupY}>Gi}ow@3pbje1?j~)ySeV&GI=JGOwM~3&(;fzBN7{+k3~7>7q6$
zQEg0$pdhyLC$GZ8W}wPG6NKR*i)&vylSOMZAgG4GR=Vfz!=t`!fwlbs4_Vc5N7z96
zkxYM7EPrEbP#d+!hs7VOf&1%sG##5Hg5g4E2*%1}#Z47&iK~L6SMEMIOdZxBq6DGx
zj0q8SqRoNgZk_rg0&;L#+Du!8sXWlueB6BvaBw4)VZIvx5eb3=vVLVkY2;B+Agp%$
zE^G2uCH{|8N<40UjoOzr|JkcPyU)!z35eT9>LM$lr-A}}<bGp3Z(*{d_B}j!QRy2P
z6i5VSY3CHe3h#F$Uo)U}DqMY7|EBQpn3IzuD4<Wig%{3-`oy^(+UX1@1P`&euYlqY
zqCyu_K>VIe_0h-*J$Xj~x1Vo$akyuhh)TO4MWcr=SynP+UUJq%>fmr>jb0}uQT@-j
z1_{F`y;uTO+E?g7|LtJjDi<`!yZUS8j^)nD>bWbSjrDc9eCwQ3t8w@CHS@vPHOHBm
z(N>3JGrUhW^ayoz=$!nYH5`43<%T)2Lu<yb;gHHxZqXX~)MAuigMwu@xved}K!}-w
zGu%GwJ!qv?EMyBV_QHt9?6<F>3@JE!a}c0{E@@93#-fiy|4j!ETkh9~CPR64L|2Q0
zrC)y~T`!SyS3W7vMRum1G3{|kGN#i_U{dIAC~BVF_Tng+3r(0K<MbJDR9{hH`%6z_
zBD2Mxed*2T2<Rmx#ibaP?MTp}=k01Ggat!QpHh{db9Rna`%WkCU5AO?*bq{b;A-8q
zLNeTBkUhXiOCjiq=HhkRuQu*{tc~+K3G+V)1Jgs9_g7dDUE|l+`^7!rc89q9y}w$E
z<Cq=eY96nASfoHylpkE%{eIN?0)eC_&XjRz?L;vpeX^e>!vdR&p<%_sv0P$utKY;m
z(7fl5$%T~lH6TE^o6)hO3$FEhHKryjX<RFrJyYPs0`a}x{p$BBxxP3#IXM*qext)f
zTPklW*s2TcNJPf*?a0!mlKM^ZfP?R0XM!&Zl37_<$5TxFfG9hNCAlO1gXhvQa6VxG
z3euJlw9PLv<7;7OSN7u|b~_mK;Yd;8!P148w4N4sw%I0s^T33)d>sEMA!<o?k;>m4
z6fG3E&A0nmvo2h+2-in&xiLIi)<+Eb_nWv0lqnl7p$RbO&)pZk9_7>-NXxS=&HvS9
z;9#oJBGeTgzS}k)DX4>#FGh3Q%O4Ml&~|)F__#ROi5;<|@Ogm|4(Sf7V;0U7HSPJn
zG@*_kyW)ud10uirfPuOr&12rSjl7iEs7RsIt1x-ri#CasI@%IZ6j2R-`BS?Q<L(r)
zXE64Sw~;*mv~mbxY<!}15PJ<IUbmEGJ6nM<iCHHUdIGTqqKZk~o#5eIVwYNk|54+F
z0CT1+D~szV_kaL8>`gwyX#0r2VV^}ZM&S}lx5Ks~Ysm2=A2F)@<!z=aa~SA-U3x~Z
z(HC22-=PHYG&@W_&8rG7#IzDSk}kMcHfE;NxO=|Ct`s#0l+|VU{yUtD9X^yZ-sbo;
zqr--hN_vHi6Y8x8@;8X<?OYTJ%4bGW9S_>@mB*?(`ffyHXcjqp$IK$jpNgfr8I~E6
z$F(moHz=PawA?vLR{WLjy7Aku(%}f|@OhWRa3Qeik!0HU3=Py_bzgL7c%k0r$yRFP
zXk)M_dE(4To}v%v62Cc<JbP=|HmWRWn^X*(-|<SiBi5OH_2kep`d4&slJ;EqfL76`
zbYwv=XB;rrOJ#CTaxqT(f001BfgFL}=knvm<tW<=q25<1RLca)QyTD3i~RR65dazi
z>6w{VegPaAkZ#tOX;#wpy>I^xzd<(Lt9{m@zU^WetAisF2t!3U{q=p|YW8U?r%ZkY
z1B~_PY=-)UEg#8V!Q1+fk0+$_zp`DyD41hlm|NGrv#E)P1l`9YjT&b&Sct~lUA06W
zo+MKK-ABEg*?I=7jJ&L(T?}rrvrhsOIz6wvgbtw&-NH5&W~`i&cY?9?4Go_HPzF4O
zV)GeB>b6`;EZ+58YVie=L8Ux!QK&Lohc-JRKq_Wctsbb}|0(EOx|!~G7b4q8H<am9
z$2S;6btLEh(p%&-*Vi_gNEn;BmLH+z9|-A2ZNA6`#U`G3~uV`eN0BUhJqS@Rvm
zoEY2_F|?odi;;{22jcUvP{mZ$ND$HcZN98~nv0wD!bPZIbDR7X$EL*MHnyRn5c`#0
z@(iP-GsUfw<93Allr4PTIpFO5-<yrnwc_%!@~kp(n@1rXP*619>f4{+_-#COO*{#q
zX>&O5hIi0ok)yb7bhi22oyBZvk&gH*yFamghyKDFs#Cy#+!r59z|!j1-DI@$o}$Aa
zj~wF?9)Z%r-Cc{(-Taf*+cJp|0JrK*5>w)}x&c0(Fe0pCWDn)zGvEjXW~guTi;RU%
zL+>l+>?;eCbNAT?!07v!F=ribYwi1LaoE*Jm<vVlE48F)e&tkQS{>ej7=PcPxNek!
z^0Fd}-KQy3)K0NUi)*q=I+K{4=e_O{TS#08yi-uDZB(k(51C|>Zd7_%NJ^n(cu9-8
zN-zAF(TO~SFkNd^TH%rZ43k}DaP!_ZP%ky4@3^?n)idtD6Lt-ACetmer|F{o9N_+$
z5~|>f<=>xHf9dw-Fl~zpDiVY0kwy4C+y-TbX>$4J^5Fp_C@U9pl8nnS;(-8s?Q#}o
z<_?czoI#9*`-^=AeU7!g(r$gAE&y3i+0Y3RB!dI#o5oF@4ZaHV6z5gxO_O?gVYAw`
zq#HM^iZ;}BII;SH>J+$JBw7yesA!l**2}-AkJJ+|5s^mIGZG2(m^7M?SGC31uOg~!
zR1-a^GlztxRFhn7!}GY`oj*k|n0(a|?&ne}hVPqS_WybQ>8i4^>m1CtfUKKd^Ef>b
zjs6GwR!qq<OyI0RunS%4M@!3HIduPU36ei47wJ&X7%!6;uamAN8Ieb|!sMuRk&7UV
z=kfFB@lP=3qx&NNc|q=9<!;3v^TRxkYUbOJTdxKAqux|uRQ=WuTK~7xkGoI(pTkS<
z>gwtzTryPn&y1(WK9}j-7a!;S#PsC#x*xdwsv5hzuJ@vH6bj!BtmplW?4QjO-+;|U
zmf9o!?pP8tS-cm=KVME=ARx9TBbz74AE;f<z3}aAWbY~7;N|G(sQFIT|M;2l>gyy%
z)S2qPrcHV)O;Q^pAH){LL@8mR8K_}!X2%q%Z5Xt@wjt^Q7z)Dm%?1v76BHD4(J8)7
z?UPL_KTN&$yar^PupoRjk=yAPTo=K-Wzw8Hxr%fPRYnHJ##IZ)RoH;hmND>fe27O{
z`s8^Ai^$q>UGFU5b@c<YHv}0Ybr_Jap^pwISH(}?_B=C>#Db8ArVbZBfMK=l^<jpf
zP+jZ28=vSntod&jv--oVT_d=+Oext#x2|`VrO4wp&hzXj7BUTbepdddVgGr7i;I_c
zzby9bA#!_BubtT3@PQO!7`=7t-pGegtixI;#NhqkT0276{kk~Gpt9K7&O?dcpk@PP
z3c1pRMh^RjZ#!}r1IN$3Ln;>fzz~EKZcPd}3Q=2$&k|WmHq?bNP+2fsES+KaTz3or
z-&uyuH|)SyAq_O$_@a<*s#z@`olz(J?+K@qZ@%DCXU7c-Ub_>&pX?Osiwe4`D;usm
znYwY2KfJp7_;W+$$%io%X{or}=0__Y3G;mdjZ*l&MZFwiDechnbBEyG^y@3pEx<Ec
zRxs9Fw}bD<-z|0@!-`OPIqX-IO8L?x<J_*7^4&Y$^uOWkvUCF@@v)s+X8aJSZX-gI
zsSiCKD38<^xQOKCZHI$Al{Q>?^@_*vYIyg!%uvj-BvTO-_!ZLKi39j8HF%AYLEmkT
zyjiDSek%(Z(517h@+&o+JQxL3ITIzSVR7O2-}m6$mcRv;@>pwW0kMmgR?nHGbRbo#
zsC?kRVS`vw!CM-5cF@lNi3z6v4RfGEN^XTH`?1)6D`uiSJbJ%66~a0_!}$6&2Ddfr
z{g0ddkJo^pH0|fJW#vu%#QUc{k>@@Hk+sD|PcVPRfV>J(a{rQGTsCZZuMccr&cZLT
zD^K)r@**t6>zhDAF%`zS#sQ%Qh)cj-hAfVB$$(Ldy=xZ^r7pAXU@-a|`P(<)fEpi1
zYwP`A<FwnybqQ11vvtylYRc1H2hi9P$SRMLiG<l-_4wS6W}8QrZvFlnA}rHOT?5VY
z$IZyghEn??0+r5L#gCb!)WxD-te<CzsT&i@Xtjj7)B>@-&<cBZczqP7^E*i9%((eb
zmKrrne*4&(reBq5rY*~=-KeOD81L1-lV#%|Lpy@T8(Ky}C)l2~=Cp9<w{e%V!&;b3
zbc6;o$53qOT|+?!#mW4Ns5Q1#U;W%>hKNzFh$+t8e0Ijd!b16HY>Hb^c!Y)GdnPu`
zzV-SiV2_vBU6kmk0w4Vk-}>5`kz8E#buIgVetE@5R>Oo<+Xbk=w@or?T%<kO-NEw$
zsC~>Mh5_x=BYaV;X>fc8@aM+uf&B^B7$fIleBpetAUNe)k!^rS)0$K9i#;JFR+te|
ziX~#n{<!Gp8Qea80+yA^h&|~cQI&YFtbZ9;Sula2>-JmYu>k@FF<z@zVs<RFp8ROs
zmay)5VVbwh-!mmMuuvVUpeo^t<RzXQVhQ9c6LAS^vGy>8=LFK0&UVeb9<-27>+9>m
zG{ez;;b|$cZ6u-*5)PYBIPf4_aew`vv%8a%tLv1o<lX7N#R*x0P*Z}v(9<$cH4B6|
zp=o0kxaeBjmj|TU&d!{DuUW5uo_zc!sj25>s+RWV>c{rZp*lF*YKqo1GDsX|+%DoU
z=-ztk%gEyx{p!P3dyefiK{Wq@d60NHo6=k?8?}~+m<Y7FIZ0-UD6{i3Qw(J0VxSC4
zY?3KmW>If^y{vO!NqH0qgx@ve?frwPd#Ku7FO;fi{Cu{W@cE~)xgF!EQI|C3X-Q4<
zb#G=P2(|M&?GO99xU$mjx-HGoQde;ft4f6_8E6wq+!a6Tq!ZJ@07RWLk9g>=;S!3M
zk|=*cKAArV$?`ss0d4K)R~aNd|2<`w1PBWQYia>OCq54k9#K_kC_dNGIDGqlY|70m
z7bfud{G)g^uk$+d$km?B#ym0B{(dTr`QcftGmBVqu&#K2E6Vlt^~~Ni^N2tWI)z%J
zIwlsHz2bFpY*SxMB5to|7n0wE{jeU@VWQzfRd7^zOKYo_pNrHSlTNj?ogQVn<uL2{
zpHn=cb(680a0yZ+6NiYL8nq$ho(}V#2<DN;#nQ}QJqM%^(WLi>?ykH{)EUWWYr)Vh
zc(@tGU$GAFo`se9Xqm&Gk!I5SXmT2^^s;PFQqd0&A6sdg+BBTtnWhZw%m~!0V8tFs
zSAT)+z0*#9#qZ1$U)e6o?Om`*v{KX~_ylUWwC!@4MQ5Y~x}C-!3=M@G0!8}opt6~C
zbN4k|JqOay&+T0W{o7HtNgphMjQ!C9<Yj;;yQUS#@zxbTecR@FfqKh3U8Ta4)vj<|
ztrT`Tr5XE$D*mz~a3Y$r1t5me$R*O~85^H{ij9^oP-lc-it|zaJ@z`oIIGyCgV_C8
zEkpchMK?Hdq<vu+$Ld2Db!zinf8$2wM?*q73kGdqEn+F(J3S!-qjGknWQ{_F9hg%D
zx|<qo275lkgytt-O8SVM8(GIRugviK9;9E5T0aNKuH5#=Z7WB7omS>E*{;50XA_fQ
z*l===-n{@pUU60US-+u^_T2h7N+}kLvDd845A)NQN(=>&nzpt_&3QciWB;EM9;`Xh
z^a$-^P%dgaA#arKM|0F8Tug#sDHtgr!LxsDOoH^--v2h=O?lh%AMs-pjA6uy4MS==
zBO3B<Gr<z44c;Zv(V{Y@$%IHkU502J{wO}2L%RPrL@5~9%1Sy&7fa(CZlwtw2_w|O
zdC(#LO08%o+%kv<l77^O1vKctq}knkS;S+-=|5{=J*62MN}~U{w!%RabGF`z;`LK1
zG|Kmc>zQl1<HSxuBQWH*!Ahr)9Tz&x{eR}qN5E$Dn$rq|!Xgg`;Lf!6K24_wgt=51
zwcj>Y`;F<vk^gDjuIarU_@Zv-=lAk>5gGZGRH1k>G`s_QK}Ki%PY4dZ@~j<qWn(!h
zxDKy(coq6AAr}x&e}oY&vG7?MSMwLIBH2=dg+#}Dldv)~w`lq`uejs=V;)K01(7?F
z0u5|=FG{sV6;#1C`Ov6hiSJM6zJ!8A+n&ulj8l6VHQXF!`Vo%7Pwvns7>-|M`iCqM
z_gf2A>E+aMe|ZYQL;q$G`vN=FEXy`M#BlJIQl=tol<Q=4^45)=a7OJ9tt$y<tieMY
zS?2G7JDGDxzdA(;5bZJ1$;I&G$uVIMSty1|IE$i|dc{y6X2XvEMlE22ig<rBU>1(|
z<3*FeS&D=*RQF~&l2R@a_&jBJE7jyfF!KO|LtYCK==R;-Qwee*ETYODaqCz`T0ZmZ
z0ikje!!`UIhL4<Y&@Q8`A5Bu_t9Sz{KNN@gt$|eb{qv^}6W6h1!ja+NTJ7|~`pr4=
ziSpm^LYT<>bnQJTQTftFo&lgLSTJj<shK?WP|4=I^t7y!@ckf;SX=k{`ol-@?y=2n
zU%9ho1=}tgMVgt)MHSH`0TwKY5{n4RRfshMRGtMpkr`AAOIQ!1lrIIBy5A3WdY-L#
z1uBQFmFTZ<;y79JN-F93q}j+fn2;Zo@}&qe{vo*dtnaxX+VZVS^M$pmL*GOK{Hamv
znTZ=%H?A8I^h9JB9btRc*Nt(dK+@Y`UFlZ}KDWJ5qm79us-MOA=gLo@G*VF*_(j{2
zW4`hA+dJ4YktK$s;`1F3Ggt|2qN*Ty1u4zuc_NT>gMcd`n9*Hf=})^yATBOXHrs~W
zaAWXE21f!DCDS1yiMA4}9Gaom&mR`Kg1K%HRoD)xn?NH@|BTj_U*l_pQhNyIjDJur
z`p3R66fS<@1yhI~tj*7L1>&}hv;^uJ`-#xwQFZ0LTuMe!lg;i19v&VJ=h`vmM!P%4
z)tK~6<Fkk%^8z(+qAy|@>k_^Jn@K=!=fd|4G_+Slj@0OvpIiyLf7VVOegdVzf$Y&v
z;hBwiI1*RlpS=tH7GkgtZGC}MqWTl-v1qBZm$Mt!>awUa`og&M1Yjr3AG^!Yx|3H|
zRsv1`N)mCRHlt!-UUj|+0Z)w{9Ng|K%!f>52*daHz@fE8)+yXEmCZ#?9k{WwV&A+H
zOBy%}jXh0oJ$(%p0ifF<;7lhCS-81rFz)iug^o_cRo>{vM96fCg~KZS(4=yw$y(%S
zJ$pP&AmJH0>Ha&gWzrw2dCt0&kXP}BV@^v;$}7)~wf@=F_->Y)T;E<?%ZrX|(CoxM
zpU)CX=?jHyq6HsG?9Sx9z*n^byCstL4j72vyfB?g+?;2xOtc0W8%22P->BH1XRNHO
zBE6Zv=CCQl^q08$Q}ZDhXzVa61)1-LsO1l7<j}|Gl^s_)-?wB6^-~%zxO{JXDknCF
z@5mApD1w1QhD?fo;qLt%o%u$bnVETYfqlh+M|h%sz76+#^0e!=(a@R~h2Z&TnUT+}
zoM|Xg`M=#$iOhj8Y-JO8k5m{4-NVmCNJtz~)U)eD2bt1KuPE7Rp&Lb!Xd#$pVw0Yd
zIHD4gQoWH<T?}YgjHR|mZ@7>g*!SvL7@$O{u4{00Rl7-DJE%-81ZbVH1Ghb!0|yoj
zvT^$WCCrn91FGfywU20jj|upfm)Qk$nMZ@rl8_KMne$h}l&26`qrR4w9ODdEA*AB7
z`z#D3@K=<0IJh-*NhdrkAin9d*5k>|Dldyv*Ds&T9NW{#?roT_@mUJ!E*k8i&U7;_
zpYuFsDOzFqYeD6Q&kdnKm)N)~Odh^wDrL$Jaw(d!<DcVgON0MHFhyim{*9Z)95%W}
zeTpKuE(9jZ1d9OzO&JdOeGH;d5HSfTb0#gmpD~yTrn-b8RM=iB4-z=>g;Ag#d4>v}
zTeNPq9R%_VjHw;iBSwth_l<;?VVUWrZloH6AV&4!z=N;|Uz7g7H0L_2VdoVXFO*$b
z_dsmg+ST<h_pW1~E%3jp%?N0afS%U%x9~M;#IbqBEB9xj{=}=8U1+G8<PW2n5E=ER
z-|!ClJa6hsK0~s)Q-p0L7<kF5&J92DNJrLbub+HSNZc`*?QCvt1_?IhEnO`03Th10
zwDQu6wSPXDh}&0?KjE|NlVFxuh+%?5q(!Ic(Sx;k;~cOth_}njv@=xC!^RTVWUI47
zta*5Nl(YHRJ1;<50&!n?)l`l=9mjtjUJ_UtQ@EvA2T~liW>E}f`gn5=_<LUOaLX{a
zkw^>E)s={iuT8GK&WhEvtW#Q817)0`DA=&V{j$hMD$wzg49#pyFI(P7CE%osSp}ID
z{tzo@s7sIz?Lvy6@oC|-@+14WaKgJQ|2ne3$Z<mW+5<8$G66?zT2}dHc-Q{_wE&Vh
zy=_jYy~YFd+$)={%{!IKdi@%FD@Ri{J6F3-Qgt;o7n`Y|{yK(x5?>8&*(x;K4Zn$D
zA16;_`|To*sG3Kg#A!XA?R9}@O29E-DDl*Qu-?fwAiLkH6h71KX6faQ0cISC&~Fw6
z1BQVfXXkgqf7@9u;R~c+C=mTvcZDY0nD3ZBDx>DKWe1k7_<v)i`VLoqUaMgfgTU0p
zsIPyq*AxJMGENc=44`>7w;krxU7Kp{fiM^iGR(9dWbHWV#4~%7nlr7iSnvZMSdXc<
zFE2eE9a&<xK^7AQB6$3UEWCLG#nJ})6z5KTHh))3HHudi)j&A)jdx}dxQZi5^V%zN
zcMKQk5|W(!3m|;_+~6Vk^Xr0rbcQ0GmKJ6H`IB6tuYp%pSsCybdv;7<kjD*z)J|8|
zOIyZ8EOC>|d{W=j@81M!Gx%bGv#=F(H`}`2+ZyxzQCbB=7BNg%vG}3iI$I#f5g-%z
z_UD%kniK1o<({w$^1jT=!mXyFc(@Iqr^-2#YI7of)Q>w^gl-JRtU1YLSCYel=w41o
zTs}_uvR*U83YN++y21v7_1iYGppOyOS90>uV6)VPkph>w*9XPL<0@_Nr{ug^%4x=x
zV1~<GnM6x#j3bFCb^E2C%33R(7#?-KrlBjJfi5XRJrWZeR;*yk^T>!M%o98}nEO}5
z#j8jRWb%A)AL)bq^MM`jA|RmfyO)jWg%;J)ayqLh8`ifMzE)-7>f^@#gmyi%?d<4S
zx!c^-*~r0wIhn^jU{faG-|l1p%UBKz8wri6gtTPs3iHJPO-Jiyxlc+GsC;>)bu7#I
z4!{VIsrT97>zml(V$3OiQgHt^CO1~Q84ivlU>f+>{kP4vy)H!?xzrMh7+yH1oWIpX
zBTJfkk}J67dmm;m67hoM*xgHMNIMMPtf~?&916mDBD$s#S50uQLa_wTcL-$kBlJ`3
z3{X4nV8ZE3+GAnGu>Hn_5NW+_UW&hCQp1*mbTh7Gh~ktup;puRJSo|Sr|-8Od&jE-
znf)4p5$Sdb^>V0ffun<cL=~wTJzi4eu(vAtVy^kEa>D+@^78WBdNU>_Av9Dz(qTe<
z9|{;Tx#eWME*JE(LpRH7qxPI9Mwq=Hheaz4D(cGQ`gqJEAHm~VI98&iS(W9UtKuDK
z;WY~DIDeY?<D0vmJe|+5%CO&b{z(9Aiq*qZ9vje*F!4lZF3(&YXxvnK#X;AK#-?e6
zEFzQS#q53v1-O6WR)mV;|MkG3lh&zk%9>t|A7kU9uFYPWCzAhWEz3<MChpgxoW6qP
z$4GiELC7I|`DVpKJw?|#5_-KdG2ybeOyiBes)e_kIU*a;OCE?e()0FVB|(`9KTFEz
zP9)7h<@s4FeF*v+o9q8QpRKhoc75ufFkl8+a%Kf+HkfX<GshBpts4-Etn_URm<gSl
zD;qcYE~4HbQ37!n&{b9!M!qMC0V}b_F9Ihz9lpOe5?3zM*icW;3s&p2v2SWdz3&ZK
zs+KHTm=DfhfJ>}OvuwNZCH_UV_r4aA7k@TX<1F5EwYR%#$xFdDFrLjn1IQD9S-jMC
zyqxl6BaLn7>KB_#un$!Fr<y)r$$FtN)(5MJqQgT%9e9e7igowPdgdxhoW%SvNl*+b
zY2>m=Cq8Y}*4N|2ILml^99Xxy+qu){OQ*cdAz9g~$iv^9>pKyeIA8BP{&WJ>O^^jA
zBl-}%na+cZ6YP>V{WV<lQ5E#koV#zn&U*vLixAmo-n%#YZZdYDlLgRt2$tHQKBw<7
ze}@jpPR<?2M&}>7%4p=k8^3Pg$O*fT-A<XQu)#u~e7GG`9_sr{5e)hDRc{3p<3i+p
zHGkzPL<8C6dmy!viFJ8|jmb6(9x5ePXw`(ULCMpKm_G>6!$7aJAekp?43v91O5N>T
zHJ3L%2c3Xs&Hyp7k(v8(l-y2FUu<+;hSb2Ru-!^9GPOvKYYZRiDG*=OFb_TFv&Ew#
z^<$fPG}N0-VozttHAH=R8gJ>$K*ckczC;F(R`#MhN6Iv)hk0~gOZH<!m&cZ{7W1T9
zy;F`?1^d9MMa-5uCUj!T**{nTCb@*V2#VE^zw(S}Ym;4n`c-CTm!@x@{F>)w`loDW
zlSuh>6o*ZbLT<R{n7Jh!X{sertSma2lSauyl`ZTyWOR-})8Fv;XNg29&f%3HEYe8-
z%@!Vn&+qXQu2kGVe(*5Q#abe4|AT_!QsgwLQjWdD9IQq7!mh0~*Q4c-yWi}*vA(=K
zt=~TXc_I6c{AHE?LDP@qwzwj{E2oIPX;|ge@su-}0=429JzZVTLL6=R)3Y-mS8cAw
zNfDyy?GW4iN0W4LKX5V4MC>-eP?%bm$P2@u(WgF76RfIf)U;}?5FBq_Gp4#9Y)#X(
z^<vUv$1;Od!zN1q?@#wQP63f!GgOj>)ktl1@nkm?Wv(9G`epL<r@O0u&)i%tmyQD!
zd^^0tS?I&J&Y$n5c|Jsx-#&Qm%%nYb^Y;||`@t2nZgTN_J)y!q5tXl-ua#s4Xlg}9
z5X@QZZoLD1+`H+&zutWC1vc4!f)yaEURg<MUx2Gc4OFwpd6WEIxI;H}7nINBq<v|Y
zt-vKEn5O;gtBpI;T~hsAxu&pEt*G_XwCUijP7MMo>eFgZQ74TEd;Un#xA*ajfHo$n
zc&I$uXI3{eB+S9DCU2eJgA}_StWfo~x;k-2AViBC_DC|F_;BzQX?S!{JU%ffXL3OL
z9tLfu&_p<i(8RB{<(Ep4uT{$anYTolz2TDd_H3!f-Pr6vdXEVO0rP?5kc})l-=cXF
z;%ViVnCFMoa}j|+*2q7%rz;-&A;E{KACSMKO#396I;Epq$Na3(&d_pe4#j~q%<mnX
z*UVwRNMj1I(0*A!iDqwhT3c?LvkVSv7!MciAJV3!te<BpL}#iL;s>rik=xq1ml=^4
zpqdo~Y|y8T|Ngz2i9B8Ew_FbX<zuL`yuSy`nA`eqFRva3z;?2DENZ;H2Jz9a?SyLJ
zMh54)lhYZ<yaPD`J|fRs7-6ROIsrF2uh!?YCf~Ex{UV>2LofsdyisSE?kLu-`&S<`
z08FI;><$pICenD_E?K_@+y9U6rqOZB%SXl;2vW5~jJ32#2EY9S#E7$f|FfFXb9X2m
z3aV60iG;Q4UthvCIr-wl-G7mreK38Lq(~*RfNiy`%10(pj@vZ&$)P1DFIUzr*)>+l
z)jt`!@Tt>OOYb3xf$p-Y)80)1j~3>m=`#%I0s01G2tit&6U@>0K-_NXt}J?j!5$}<
zn|{ghQdCh*5R$8_$arxgjObAe6oi4Q(FB4EMUFa0C<lXMX}Nbz5&WA5nVD@UYz`B`
zP>7&2Er!W)ge4`#TgP1p0|#4bC3GE5J2Hm1apxRUErARX4IK4CX&ow|vK4TZ;vt98
z(-Jk6W<@-TlO%@#_`0fO>stIDS@aKyKdAy&wYA(2r)djky<Jxx;R%UsE5t1=6Xywb
zMInf~rlO*u+kx=z>b$wqR;R*Yx_AFa(^-X8)wNxC(;%QUNT+mnhm>@8NOyNiONWFY
z-O?@H-6bh0C0zmnBH!HafBl?rD%-u*eCBw@xW_e!*%^Yj0+mNCCIsb35_S;G&!cBM
zvfoL6Vr+Wwk(G6J3Y$%QkDsO4F%Tn_QY9WvUstAVTCA?AY5w6rF%Vdd-jhU;{hWo-
z$DP@7C33Kap6(4%dYGaQYgLXZSl-z1th#xX1Ge!%Dh0;AGwStB@T-6OA`$sIAfcYA
z#;`rD#D?dH<6R@Vm7>14h_{DcoM7X^H9n^Z_VKpf#TzOA@j{vt4I1(blmY!-8<QBR
zmE4axGL0}sTG_(s$Md=gNxH2u7aSZUu&<MS!wYbw@L3EJ)ouyn{H<t74TVW?x|VYt
z>9(@Iwv=7HvyeOy7TX+0o1Qg0J*dK$7J&=u`t7}7B}9_SZz-IxnojS^+S>`=>F>>r
znzO#K;n)OhLi$o(g+ok?evtPNg=JU?=R5tCpRe58*JaGxp<e&@k8}08(@{US9ytpr
z;m^*DHWWXBxW4eV@>^tG@S|<p8DP_E#@T^0pht~OwaSo&>g33iInM>g)`O|+W6$<N
za_0)1&1+!q1p$E2urET>g4s%JEuKPzGzv~>mw1^!5M`Yu6lrQ@@8=R(&~MP-j(-?n
zo1l=z+_xz!hdnMB#!+)`h*M<J*E7KdrCC{jXSx!BLH;GbTR0GpD_s7wSZ324vb?s|
zD9Fkb?LYgYdm05!53RoZ2)6_oul&79)z*X-th}O6gvqq%z7%&ilV9fsaK;doo^*gs
zfJen~61nBwsyvD}hA+Wgvv1gMaF3lYkE{eGQ>PA2Ki1aJLbh5DasbH_JNM53^hp+J
zBspoK8n1_928{po;X~fr*c>uD`N+4g{{xizg#U68!-5+w+kN3cYJGyHBLKK^(@OXD
z%&XhaR^$c%YFqF@Hmdt>kTsA!x&Vl5P+K+_0HD+Z5R|Tg0&o9&&4g(OAb%W2+XA?g
z8rU8vKo8n4rF`T6@-kZrnAp^Fy3>r(;vRpjN*$`c-QmlbV(&V4n<_JZh5kpE9<trF
z#zRR;T!ccAbATzuWSVfEt?g9uNzN$QXm22QSJKC4q)er$+}<(_!xUxuZ$+mQro<Fj
zqZ^OUm~*&z{!W=IFRy-8BN6aHH?PTawjG5FgE|c&j-xe&V~LNdN$pb!hX5JCptg=g
zgpddIJ-lJ7){>5suxWCb)m47ru3<Sw7#A+l8R<(R7Fg|88)N=eSh-)p7DmUgL&=OB
zL?g>L1@D$~o-O245BBhAcqOIi5Vw|=Oo#ap<&Gp%tl0+vz4{97`J<11ua!|Cu&@}8
zpg}n8Fx0C@FY};v)Z{&)VST9%H%dg-HC?ov)>&DnfZh8jkJXcyvtVOb*QB^BlS(tV
zF&c{!(Z>1hrOR=TKWm2QxYHc~3_*a^1g7mfSm3EL_=rp%^d^lEQoE>UR|rO-NcJiD
zq~ngI<2|1<rmlylF12X4Gan<}v}!JZ;~Q#WGeTxh^>a78tS&$A`Yv_uoPc)j>5}@a
zR0_K7$e8;0ViEzqm|{R<jR;bd0#r|kGbkyLIpBJA`4Fyl6pn8+(w-T$rbuVWL|R)!
zDe_hxnSEQeh%!zYelN!)E~lHJytm#s41@7pr|h!Y@b_<O_QKacECve7=)`(<h3Iig
z14KlLN*b46s`!295DPVrskS7zc<8&jsy_gZL(sEk?dnI9B4ULM4^w1;H)};8Mv9r1
z#K+w+WW=z;SY)ROcV)C5docR`jRNF-=t6rc&0Zda2s@L_Bk|8c@bAdF!uEbXfDP02
zYS3*u$p0}A3^79{v%F!+XxR2|3Md}GFEks!^j3heyni}=4Y97TSNzE|o`pP!{ZCA(
z(=;Y=JsaQCLKdbfdDXaM*_sP{$ZHteJeILwK>~idj!fFuS-!C{``GkxL6{zW;x`;?
z*?MVauwWQw-<M>;V<HLHr|Im3+WT7KdexhJp`^?wsaIjiF}7_Y?NDe|xg-F)6WCp!
z?nVU+c(FK1{TE4O@V##h{YplzJLsY#j}VgJIvNL1L-NE-aIDRdOWvd8$-JYs$rIxW
zGobJqZa;N^RNW9s9!%%~J_~YU<oXABeoUA$kF%GVlN<9dwxB%_J|Mgbs$gWE&(8lj
z1_qKsaz6aK&wVJ%_5F8$kh@#keV^HV4=siO*Lf(j07RaY?ku}Ep8<_%=MRq4fB2!>
z=4U_%^GmY;smBk0K)J$(SD5ibvGD`6(hfv4JRVg30=(wkG^m_{)=LJ0RvAv=eTp3T
zgx5XLE?_9<Aga`t1I+$rj*iuv=M701khV9oF565Oeb{9mN?iVRiF<;{BUa=?z@Gwp
zTqMDRr~=cUxei8r%kS~vVJHT8Dc1D6+c<EFQ(#rZQ&Qwx1bE;|2w=Xx7)_}}LO-@!
zVY+2bp)c2a$3#~QzU)Mw){X&|ro8-2>o`SC4w>8iB_7W;Hx>+}<=1+20KH%^DMZH>
zvo?~$=uhL%M`;&$6fDS3EnHcQjH;M7#qK({t^2{~ri8jCnw?x-($VPal2HMRE>;rs
zBwB^Vwlp)BVeyYeRPPYb{E6Us<i>opJy61hrtO+m!S{F3x3DD?KC0w(5wT>5hw?)h
z2JApVoT8zG)R~1SGKMh{9#cO2Yb+_4AT`@6kiac8ZK*8i+i#Wi8ZcCWywLNFV2^n3
z7x)ny^N4P4bl~OoMvWzj*A#?1mhkBDUn7Dly+v6-3kNI=BNIfH{#EG5w;iOt{G#B(
zpsD$!#H%%$cn3p{_Etg`M~Y&g*HIF6LtWSkuc@|nE218(z2y$Qh0@g8^d5ev$FrUP
z`mK~OmeJoXB~+|oC(NDp!)d#<8FkIAxa}2i*0cC_CorGe-hk)7Nzb8t%qQ}k)1cjx
z`P^}8WHPxW=~om@<6Ard|3GABlr?xxkY|;zO2e3D8`6pcQ1|e~!840EJ<O4gdz~B0
z-L&Gqyy75It+At^BLNavU;V$!2D_*#Z45Lhu7q}d<BRtVw90Mo@UosLK6PC!jZ-(|
zG^Su4s}pe?uS813L$LUXx3<s6W_CmQPa;aDM+1wPdz_=i(!W0Z4F2Bzh8USzfx+(a
zDNya3a#EAP#x<?XYYC&_(Noxz=E@X?@vGDc{B<*2mA7Pzzhsb6zUGk2(dR}7fG(Qo
zofbjP9W?q5KkQ#XG>(&Y6w1iX2I;gr&CJq&P4VT))T3O1<MpwS#xVGxv3fxZLrRBo
z;RviMW^%T~iVU}RpH$?og+8nOG?yQ7)J2C>75t0j;qIjz&w3aNFz(!>`8aUh2}E(X
z>ZU+?O=bR4%0O;g<(z|Bzt-*1&vC(GUZWBTYOqu_%c)@;8sXOL-!XBFsFe`b6OSY=
ze)xSB*qsCwpK-Ne&Rw)2@Vh3fs-$tQg6@rxw8Q_kzyN4S>46WFPEewJ2{nd5%VVrQ
z+**-6)`9}OKG5!_D|ZOcB%)-$Epsz6?x942CGSMQH!<!w&xVr8{v(f6gYqdTV(b;%
zpVAO;XoK_}5H2?OQqs?f*oKJl_2@ks{3g}fS+x;&4URLwvH!?$1QyLUUvffu*MAvt
z=S!Q+z^Z4Zo!Ia6{r&3?4Hlq(?6;AzeqT^4iwG>gQ!Fnb{)CO?_vzG}RT)-zxuf-!
z<>fBiq>)AoBZ^<Q_CC<yj%GgDsp5cDbkh%q()hsk7781L;02AxoZOj*ue?PO#XIi|
z63*${1R0pVms|GR$#p{@ZwM}txl?4LyTncM!^A$)jQ3)dTTj?IhQNn?EsqjQiPMmI
zw6YK`{8^5|{Dsq@X_tmgs6<IxfOO7C`^1vkA}p0!lv3H3!2Q0uSlVqt_0&5NgnDp>
zORC)~{|0JYnliVNYQ1AhPN$YYmRjiXw4T!6Bc}O|Mb$`lDf^||k_hfZ<t>p>vRh8c
zVcrSvDO&#f@OOjDe_mjGH4Uvd-tmCsL9m^ERpd!oa`M-8d207E!9gU%(VjSOuGP;W
zpUr&+3S$#g6#2jo<`ss7L5DXcOMg>uY7eTp4o7boMhBLWXb6f~*hkf05_^u#c2(#h
zJ-TYG2rC+zQ%&vdUVI1Y+Wf;-E<P;US-C^kXT)o$GG$-^P~GtKesH3AkW8-1t3*9{
zbhqp~)~n0Ti1KpZP9w#$oCaPvH5eE~Pm~|>C5FLX*;%Iy)7Kq9VO8=1wr%2<ACDKc
zr1Ft6^GPR<JV|J+^C*K&x+Dpcu`=qviAEq~RDR>6U=}B{E9Z<=cAL`1!+%w>MVmY-
z>sLfTATOaG5vG?%Q^Od9923G_H*qo!w_SIMV#)bUACmo#ld6Qme(w!>9^6-$``-Hi
zg)bQ2Y%6V>YY2F>`&~$eE?fr^C;Q$@q!p(i-Mk@-mib!RuAK8zZsEFv-pkU=%#4q?
z5BRAPLl<N@$#p&JKo(6j(Ep(rWRUIb<moL|H`PYCuqvx0RiWM=@bp<^u>Z6)Y8JcG
zAkfMlP})}zB%dqQ(p$u(m0lqs>7tJ=AV&tD%Ko%AgG!outyoYvCk(r46F)IeI0g{%
zkd&7#7-)yyj_@CVMQR@E{*1K3oOTsrdu|ZfuiR!aNBkQ~qG7tsWz{iRLI%pO6lP8|
zTfHlJ=c;fJiiL5bu9dFuc1;_|h{TWc@IHKoNe~J#;~Ul|!b@mPE93%-l@}3Nn*KX6
z4fv>_DnN9@1f(FJF(Dg(96}tsK?bL(8E_e6{1^1lEFQX#)x$$dv;RUH9N)e4i=+ql
z><`eQDX4)NJn7HZyOUBM|A<D|%^bN4<Q(wZ6$5q%rUckx`|b?IAsFyrH&pSW^vv#>
zuf+mo9zf-Qr0XrzCDQV<z{~EGm?csJBiHi}4@Z$0EcWDQ#x4}IG{Cth6ZAxbAcpn=
z-e=ARN0RRawW<z$ikiUY7r{>bxAV$RF4LP-N|0$Tnlej$YEo+7qPWt#(F%CvxeQmH
z?@8!!DCjMFtlW}nZ^Ccl&^-!mj|@B{iI_uZ2th<8woZ15z!_JLq}$+xHVwj-Jgub#
zD>X#FP@pVmw=ubv=`B#3##&*9W0UC=ud~@7#Kso&a<2BfRPuygh(>)9vC`ipnm4G@
z8KRanPLY-kE5B1|;~2*L#jDd*Od`iv?JUsc$8mBm^7R)BL(;y)kXK*t&-~_2J^NI}
z_8klI_3~jkwy_kMA|$fJI<7q50+DV=v-6!LTR&%&n+vfrocDnN`j<7@BGGVlX}<5R
zK<Xw`0@BH)-4i~0MZOhGaDp&X&p{vt{JdtRn;VcSm0IH6&dQJF=<$;U+2x1Qv2$6Y
z`?!1B^9=1y`7Wv_Ng)Q?>$)qtcEZ!+^%FES%Gm;YIhAF<*BKFr;&Y!HZKFQ^$?1E~
zCN>apinO~2Ycr&l$(k4kJ9u_>0<4aWZGxw())u_SCQX790ZdeCFu}-s%Zq3U%!L#S
zV;a_Ri)|=U*<Zu(B(^v@lUH;$95&hZ0T4qR1JKijrju=(9ox}Y;@MI2>E5+C09Ovo
z8mhU|v|!Hatk8*<I1x2r)GIYY*x3oLJB>m$j0x+0vnm3wOUSXWtRB@I20T>>`kY=D
zrU@eCqNlqn!mRs5w(|j*3UT;D(g>Og;;WGd2t8V9N+7NML>5PQ^Ie~9;zBw+L~^3C
zdBMj7&1nNTc30B2oxShQ4A(l*A_-s95TqHZ-*WZv%1|{U#*A--%~9CUk#qX;vGUT1
zBYaJF3ZnL;Msqy>b!$}BOZ{0>kr8*o{NEZ{#g_uxdhwB1Nl&wLHKagiPtV(}n->(e
zO{*=6UgjN4Z|0>*Azzt(XtL`*^vYZxY#TLa4}D%lB6*FIHkh8%XovS+QmEJ4`k~8V
z6BGc3D`rewa9GM={CK~B_l{If@Zn!*p%4LAO$UldmE!;ac=ZK;yQZfr1}cHy3FIG;
zDB*(uB#_MKliMQz@jak+U!Vec;#DAs2;}UJd`$nz4)+Ioi+=tAFuVyL{_cnZu`b}N
z=(BM6wlg2`%WSN6qISS?I?sfCZ3Z2r<mIdVe@D(zPha2Mc+guYp9bf%4~dN^wFSHp
zIez^2@bIv79#~bcxor`xC5AlDG*8d@SI48R*a}w_2l=hh@Egc(qT=Mndh{(WE8JaG
zX4B#lt@hVEM0e3uxDaIP7LqY>Y`vZLGtu5uPN|(8;(Y9AOo%)Mvd7|uw)-py%Jk^r
zOSO}M<uGDyhc-v_ACy>cy-Q7tO;+Xf)zLS@xUF%vpAcXm<X>*zY148<!cD_B4rEz|
z%QC+gzt-i<U0w}~TkO<NNo=!4cmoeVxM0{)6_-PA6;}fzHtXkk2cKOZw77Z~;520A
zM_SM>h8`qaXK|q9YxTode%C-5Ev<5!yUHoH#@YKl=)Y=xx4^gUVTzK3gCVq8m=ZyN
zYoXg5r?Z5dZ?!)Sik?9GXee*DQB5)nW_S&$b?8BAi}LGjjE~;gl<_+aR?~~CO|#Zv
zkrul9l&p$})Fq{vt<LMh<n!H~sBl>gZ`K-)ROH^#8)8Qbh7dKCc;epK__rk(uy?OJ
z3JP}s#b{l-7+B|ov&<r~r76OSYzP${WptEe+$B}yC@Ft26hS7&+*`W3NF%mEYPCcI
zbGg%>T6Vbg6Vq%DGbIc;ylo;ndQBugmLdVGY)X+`47bkBwV#CzO5Qh%@9Y2e4W|Wx
zCueF(iLYzDps;8;iu_eRBnT3tessiqsStggubA1^pvjY2X%DcTHlZ4NwuyXA$X-_|
zTbQCxX*q`kj1C>L(xj>{Iw)*n-@%10mh<N5kP*q~o->FSqU^m2+eE9P8K6HG`Kbi<
zCTDmjW7dQ1q9P|>dmuL7ZIz$u)Z{z_NWOU;y7S?gi)v7XQ7dG>lwP_sBKXt{Y#(ex
zfH<EQKwnfMhNs!y@a?mh+)O;1%^jnn&`uL!o4z+^7xS04fW|h`bR4?El>JqLElthv
zJ!x_}%vs9Q^I$p@8V+sA6BD{%dUHmu>&T3~J<=X)t}pdvBp}oM_=M_p>*z2>{f5J`
ze5$FjsPt`vvx}qWt>)5&Do*duL6d`f{+#x2d0j7M+4*eG)oP1z7oAij<9bPrnR>^I
zPw{;SmtgWnD>OxEt#h?j?)`}4ukz|78pGC%v66Jix8`4bF;LpgS3|9l`mmkKMw$S#
zr8zH<Al9CKM5g%vUV!z$rS=W(428fQ-oTxHK>YzbKWH!R2@vW*Le$e%<)gQ&(0;*R
z@cINI+4CPLyXzF(kfEr8ZXmS@?%o6}<u@7W>jSNA{}*9TV9Z^{Uw@#+gNCWMhVj`<
z^Nb{Hiu2&z;dpzFMcy+K^gD=>yz$q`>8bv@BR(c)vSUm;;!Rf=XTi25N_<GTk3rfu
zcv!^Pi}0vaHO-uZsgr;YofSsG)<yK>vh=(a9?5iH9uTHWDd)s`d@VIz(igi@l<M1S
z5*Ma;&I!xM;SM3T$#HbhMkptGzX6URmh^_j4Zy68_S<^o%8O7f8o&^<u77Q6y<Tx#
z|2@CMY0>HvCu6#)37)#V_`Cp@^5<#yd&h)R1Of(?fDI{A<`cj3)-*pj%f63pwn_9!
znIZ4QlXNYE^V=!$vDk)yG`b*k`bHK4c_kZ%Op!KPpTeOyFT9fGQbtIV3La;-?2?U<
zY*H*S$n^D>%3{v9XsWGPee<g<ze=n+1-S5SV@wFDLDTqM<J9zY?x}H$NJmJJK;S#)
z$j>1OPYsi(${eqWf%+|YA#}c6X9gUp3t;VF&E<+3^T?B|CP!a7d3rV(TH<ns^5w-+
z>+0ioY3Oha`>&T|+ekW(N#1K2n7=a=j&20ZCI)Y7-1pB^K1!ya!=+dN7mdixJYvvy
zWZTMbp1E-0c}0?jSYk>uSZ^T`C7;fCImey!{ccZmmoOD)zq))Rkl-S#TU7JNRFQxn
zOTCn)suS}Zl^Fc=TF~h7`#9rz3)9?MZ3kW3x}&Bhw@IgarI-eW^%iX7D_p7euixGj
znS^Rd){;$CrP{{mB&1JVRKGmpDwE76NG`F#fIlNMGP_dX`WIoScxqrH@Hnlqj0K<Y
z2V49^?19NN%ME+Na<FKM#z(gX@AWDK=tx(;F8l%m18c9+&Te@zU1k}HCx1XrN1T-r
z%ny;eu~%(a`ZBhQ$t`Vpwuj)APO|7gwyAJXikFaDp;$Vyz-@Ko%2`xOsgjb1Y*wqx
zeOeT6%xHiK2>}w&g`Dy+U5baB+QqC7P0<U*airv{fCm$yXI}6gHH(y+tPLr*(#OJd
z`sGf8E}=75ZUTu&Cywvw#|%h1*LWcrseJMH_;^O+yI?~>5D~uT$DsH71-b%7T<wL}
zJ9+tWy5iSihC2Igl{-fL_AvQHAH4eX4JieL#4HPVrDL~Z69v77TS*2xJT8<SW^p{Z
zyoz`h>_14fXm%#^b-sGl#UBt)deYyPK)h{!6w$wJmb(mk(OZEw3gzemZte${i>Ln8
z$N51s#0$XCg$M0%pbGVd?6HolV(A#Vp4TXB_XlXr+${<t&a<^vx3Z^>J!$UZ8+3?T
zf3@Z3Kg*m${`xP5hSI@>6zpW;dcRmbMW?0G<5sAB=p(p^?rHu93V9mbW$aUQe1B1p
zzo1fOsQ6)e9VQghC)S^b&}aX;D2*uT0g`BuasDWd@uzEAI`*Ao$D?`!<qbgEyrWOr
z>aykX(T&K#KxRW5i&P+h1x`h91w-@-Y5J|Tz%U~?VoYg@gFy|p>i`)M+M7ogEqFNT
z?@1YHoh~qolStl>`dPi`G!V}`e;7`)!l>MtsLzd6nx}TXZ<mHSC{+Ad|ARO)(i?Y@
zeO%^kqd#`D5Lk@7k=Q1<^%%DJd>)N}@KrO?Vy+&xw78y!2@I|<jQW-qK2cF)oba79
z0d{7umtd3;Z07aIOU%3E!ishOnOSR!u%`c+edtrIG$*@q+N$gLd~lvPm9>tgh0aNe
zSF+H`@-p9YJ`yD7fJ8Kq7y>*dR}&3=5SVhhy6=aCB3zGdk#9Sc#F1TC2x=sCy=FNe
z@ZwvtZ|{mIZ-sYDdT%v+Hkx|dtG%n5uH)RMzBsdf$Cu!vmy_uzO*uO`Y1CtGeqX)>
zU0kV+A-(RFqnA|pv^#_H^X4V}UX_0H#4WHjO+Hxkpuw&%^k-UjmHjB@3Lb8pMV5s@
zs1qYER)l<Y^AI4e`rMS10)#G*sF0(lK%MXt5$mCn3UPS;ZR>&BO9=s!ZA8&Z{<Y$Q
zqYn+mUCj(K1!u>Y7i+>!OL=)7fh#u*8{#ZPy@vw}f#)C*&LZNWD)GoyI5w?uF?&{)
zey@V3uB~xx+80Yqn$v`!EfrCU2(!#CrY$5)3kAGNjun(*y_#*8!(-$p_t}u^C!fm@
zI1B5^RHzL8#1+-rk61=$@MZ^c58G1=fF<`5@}Yz9=6tXW8q8NFI9U5VW|;)i0C$+@
z%dJnWq>RHmF2z;w{}<n+epge!?Y2R)xYoeXP~Kkt`OxEpXPF={_H=s((R`F(h2V9q
zxtK&Bmcbub6bgGLV~BQ_*vR|QPvP3HS70f0k<sg!T(*Oi*>0COg*iK&Gz~Rdo$9*B
z?^z23OH10VT>K_D)TcGQ%*`#$HKcbz7hTo?d(ca@1%%CO*plEp_wJ7y2tSbz%_mO;
zE(&^>Y2SFbhAGy>G#4{{oiTD;mv!%<fpGO8XTUFTz{yOjwxP6e?g$7tWL~;>q~=rf
zpl~t8nOS+H_3%`<XW<y>u}svTfGRr61OH@v#wKEq^4M%U_PT~F2hdEmWb|codATL+
zpmW{I^!Seso#}f;^Q=A&WIZF5*4Ml(hQw;TdbVEiH?Zr`q+V`oF3M9jGzDx&cL}7z
z50)w?U}ZY&(%}|hp5m%IA`S^D=*VmF-~(2znx&8<C_?|D50!PTd0o%%{%Y@$hh-WZ
z>h05X+g;hy*@Ab_D(AA&9Nz^v@7AAs_aOlEIS}vzI_W=Y8ec<dND^eXa{bO)pPsX)
z4=mnYL7oi>;-qc9=ne12nZFZc=KW?VJCk}i=*;UM7l9z@4ld_b&C}}AC__m))*A3(
zc-o(;scC;+=PcVCFQCoWapF*q=xO^|gs$Z&>1LU(H8PXXjT`UI4V)~j6klxwM}nxC
zPmXbhQJAe`M|-@BwF--n5pwexY!EZrTSPqm$YLsuJcdboP3wGdTB-dXNA^67iuqv}
z+NGaUv~_H}S-e?vSP1GIJ*o`qwHd&!o1d-b2v!V+H7d6bZ=KG-Vm+{JoYRIFJ$8mI
zNq+i4u$KGfLlkzfR3lTd<fUl?-^O>wcn=!B;f8s7c@72K-B`C!JZ6rch>cR5w@5j+
z!aFd9a;o|Zc5?!dAbJ5*eCEYa=_WmkSmEC?Q`a5IH=L|E(|XEqA?5oXwkr0e8+>VQ
zwK|{Cm%RT~*6$OOu86CkkL^sG+ZT&VV&i?5Va<vdKDfRQ$e0759pJraGI9{f-86*p
zRw>gE$ex1n6YU|w8pnx1B4aodfTXw!E6&rvZEhwTUp;?HbDJ7}W+;}+P6Ge+OGc}+
zc2%E+{i|-gg;?UGKw=zxG;g<xQ^vh!^$vVCPCYlN`4yb(!TL2l`<jtM|MTpXa>t=`
z0Pcj3pW{QH`J&EDs~9RW0-vBM)$L+J6g!02b7y5EJj&azbRHySG^Bc(B=vuF>i?_@
zUQ3TwT8K5kW;BYD(!b8b@R)uHd$29<@L3<C!-VHT%zG7%Dz~~E+=qqtYj>-(;7DSM
zKyJ861DPV8m>*yxV%aw?R<vl=)#Id0%Ox}?xD<!!8!_0oZv>@u_}y3Uo|x?RJ5lB8
z5XJ;m>fmRD0o%L2t1HJs_e~%F@pp`5a|2Q=Oojd(6dpiMvYWj`6nB33eHd8Co;mrV
zcx&V0ed+wYi$eG3nbnDFA^NoxZ8;)gSo82QS|9TLR*%AUL$lb-Jwj%}oxLYwCd!>G
zsvSu>F}LhLJf<URs?)P~H<cww!5P>W=}S~AM=^@y%+9aPn0aH9)2|n4{C}9ZHCUEn
zHNyIhI9g2@6C5%iuzK_|b=w=#o{qtTj0R)_qEouN`uD2ux`56%uKT>}9NN_REk!kF
z`YuP`S|(B7n=z6gVjIo2$Aao`L1UB9j-QQ<bQkTU?(a{8%d@O-jtr5zH8;^4b<vv$
zvSCJ~!lD!x;#bY*w{_Y)<&mjZcF(?@vyVV^gX-eXP^2edi#&;V?xi6m9Q~Rt1a2FE
z|1T8*HW=3C576?~8u*L+R{_7~fr|xnL}vrs)<gEW{{bVhm~J^Et>;}~<(JfM3;A82
zfB&IC2ZjZEDz-6Mi~h6W1SIT0L@7(=55ZGfkRfc1SokDC%@Ivmbz|4+0m^j`-J|)3
zcsRb6nhN2;p-a85I36sq>x8{>@M&=Tg4l?l?p&Awi_YS$Q!SUV_;r?p4e}@;Z6V{e
zA_<Pcz0Q-P6D-Lb3q<4$3tBs?tS`VMnET<M4=;+nX@;qXJ&UtmBxR!s<2jvv>`Eg>
z_?8gEev}c~x7&@?`zWPS^?00@hymnG<W$npWr8cG?|BIlhKmoY1IT}rz_Y_5f+x%Q
z=E7U(+ahJ2v((G`rk`UWit0I_uL%}$Ei$VfZN6GK>wTq|Zf(4W&{e<%J{!r;AR-MN
zzFpT|PE35Eii0Zk6@C+HScR3M_ZcR7I)`t6;X^Y^8-S!N>b?RD$)NsRiXpB>R&R$<
zYB^Fby-w?!T!g`XYrJ29r+}h5367MYF5w6jIRxWV`9648*(U2f1@9947t67&VjlLD
z$FJ6Y`bNA3d6vh77cZR${^eJJ)8iDL)7MaV?!3#C{8^_cnd5VV+)HCbt29q9`2r)t
zE#`%raW9x4rg1sN!sE8$j_#%7)cLDDJ1k(B<M;n_ag0miAN0&ZV77nVDyip%wRWe@
z{My0yQu9ZrL+YG91rt10z9Rct((nr-n=yZ>HxRm+hqWTT&#e|=Yp%@@5F`;xtSuMM
zC{%`JiXJ)j%u2C~>9gpA6&lbP$H033i8?Vh_);QF*hTho27;~O&Ex4|F9{ie|Mh)?
z+aPPwa%yV@`=3HyYV5bXrsRSxM$+-Q5d0bHv!W(53f0#!UqhZ*$Lss_rhJ&ufQl=(
z;SEgYc5=*~Q&vo9doT1Xf@Lu1+&kl%fjIuRDYgb%HDg>;P6J?ixClkH1fvS*Uc417
z(G7n0wG>zI;JvG}l@8fkHja@x<Q@Go*csiIYn;)CI1ps9WO-{CLkR5li#b9zE0c!h
z!(XQ=iV}hiL5!BH4L8^S+ObK$xqpyaH#KKyl+{gqf0O2RTidn$ivWW0)r3}9=lD3$
zV-s2_8>%5U=yH;G7`fZE^VxbSYuEF<uVvQz6v21%PB~YkQ-|s2!h)&YI2zUP@Qk=*
zET>Gl6gK`)fy5Feejal)u|<S<I3CJm@z_p&r(3E1*we<cGw}h4+^FJIRkMsGIc?q@
z-#i@atNNb%Z9YPy5#ZMb$jQw@VgK1mNRTclvHK@>F5Qjs-RbkcyY6Rbo5#Oh<$t@-
z3q4S9AY0%>e*o23B-7V&pZ{P1mG2R{?Ovz}yn)tufC%;;ba}?qoG`otngbZg?nh+O
z215X`ybBBqn@?w6=WZQ-(0>5bKWF^+C;oqnI^lDlR}het1nalWPLJco<3E?LE+XOo
zLCNCBe#A(BFp~~^4yEH?ad^WsqC?DeZ}l7(!HnA;N`fw65`}>MMNV_cE$uW?-)q+a
z)^wmal@JH1H&VA2&!N|qOCbmXp~gtt{6G#bgirqdnWGV{pyCGX(o*X+hh2_td~u{c
zvly<9IpXOgQkd)1HBJ7J+}w1)t3sP2x${Iz8urhH<#ms-WiY)oc+OBCTv@TllTtNt
z3zg<9Zv8g#z0SwN1=Gr#L-eg=Ea|^vB}v(IY7|I{SC4BSI)s?MwO^+<P9{h)J~cx~
zgScwtAy#qUAImJIq4K?tBCmjNr|Gc(H@g(Et|BjlVy|qUL8Gb71~(D3`NVgmn#D)H
z^b&TCVXBzS{73T)E@F}(p>EZndziV`2CQC&y1I3@C#jcGr;MK#UnDOjk99C$H*a&v
z_e(5!AcY2x-n`w}th7V6ex7^~N$J?r?50NI>v{I%B8)StDNSMcaq>vUuyC`u3XpIy
z#dOj2AB;TrKa+0JRIqmL!Q?5-GfmcgZr}6i;yMrWtM8|oX7!@ef9(~{)`TC<7OBHv
z_-gr)2x3veV17602L~Z`{W(!f<SbbsrnY_5DwWj0cGHHQ)J;Rc`kEdN6{3pMI!bb-
z&wE`M!M9pae5YrN-&;~3VwxRpO|>G6>UGnyDDW=VsrT(%DZbwR4K^%f<|L8|Zt?O)
zVYx3~AwRa3=UM=-)k7O>zaqj-2&6E7v$(Id!yUk=bF2PdTlmf<$;6~RQKf=2pwCnn
z10!}veDD|K`1Zbz1bXLqfogDv>6jhw7tTvKd44RvpFo?)631_RsoBNFG&NfrI><Vd
zn+M2Aq9Ug{#KWAG%@dwWC+-Vc_e+gwuI^3(R$lAFVeXql-(=G8@FIO6)~bIJ^~I{(
zuySbRdte$Z=CG3A2;{TwY2i$mS(7A_OHdPjy29nwU1%qc`cWWdreTYC!+btL;$lC!
zwgo{GQ_KHZcD0%<XF<Qoc+Fa2Al#UuDsa%<C%2U^25Nyov3M9pdrmX2&<ElJ;z~qB
zWK!N}{?`u(ZSb~Jgb>IGT*KF+q-kb6Pd?(V*U0`+a>Z9Wcx-`tjK)4cqiFwuP7V)X
zb)o%mMVn0R1AMB1`&NPbU@d+Cb-tW+Ws5@5zQ_8TZQ!mCA~1lNkz=s}@a)jln|8$l
z6ngb|_xJCC=;rawzdhrBd!GXjKZ8neULGFb&W+pKZ%wzr61(}S=fm$pvL`_Qe=1WB
zI07Cw+vXoq1IqqCv7yP4z#H(iLlF(?01h{Rt(?X0R-#uW0%%c^zgwpR&h7%w?*c1n
zcNN2VTT=EW;p~`upGfj)<l5SZPyG1@T>Qc84~7tSG<<&^OSrff$j9G*J2*>b6Gs^t
zpH!wd5prX7AuBYM6LIn&!cR8Z1yOmW#}FD`1^23nDoZMz<Xf5$Yz)5|7yCY!(Q1Hg
z-0pe$sQ+BYc3sAq6=Ne;2It5tit}aF(%*h;n3I2$qDCy0NcD~|=KzKN$~FYG71%uN
zn$;9i)sZn`TZRo0Y|DqyH@Mbx>>8Nfj+=aFnG_!B+b(O-HE^pe%#eUd6El~PRGM-#
z+V-%YsHbN~g}_?;sI+8S$JPHt4U5RLOKsZKGFe}EBq?lXQ)cT~_2wulwv7B`7JZ4B
z;-8Ce9ZK(M+{QBWwr21J?We37Rsd4?<wpQ(&o-na2W?@=hZ*&cOFY>t*3pq(^lf=&
z*~4I<Uj;z7G@H2|<LYOzAg@BXSI$AaoM9LrUy{@>-uiaB`gfjGd`3^UY-rVCie(4b
zu~(^ZrxrV%_TN6o`O;h5CtS7OWh{SYcxV?Nlc@EhOXzhWUh=rx%=j!p;GvA>{~qHp
zLj3+C-m6DH${CaoBHTs>{3MLw_Z@wyp_cs_?%64)RDTiHnR!~R4ICrfm*4r4aOy4b
za<ikaEyQrkera3kS6AJ;Y|>(U_i41xE?Q`p)n<%FE54~TWv)ROu0X7`0Lh^V`%9UV
z*{iv-UmHW}>MoJ`hqmZ;2jC0$_#^@eQ-JG{^!wo>cKAJXnPP^V<^rd`EjjmvT5w6N
zy^yc3ZHN9MDLBr>MRwZGz-d*_6tkn_)t+_DhGtx7JZ)On;&c7xR9JsUYMq(-6J-|q
z2R7cTh((ak(f?LxEQ14WvJ}&AN)}UQCP#vWrDU{UWp<RQ6xsQx$WdV#Gr%u5fb24)
zSG{f~`!Zd^Doq=r1LGKmE5ExcSuRU1U70447%i5!zMVN&vi|d%Nqi_`4+ca=t9f3+
z={%Z>YSv+%?we_Rj)!omTm3{eqw2pgH~$vaH*hgQ2_0BEz;?@ohxvE6_#Y>85`LO)
z-$+|TzSNmGMVT1<%b{?C!dHFhiXS3U>j!)=nlF8~L3^d&!y&ZaMj2{H69GNUVD}7F
z-JhXWbZBFjXv=l}+mHW1FUKh~5)2*AL8yWld_+*sE0h5KU-eFaUxdjYs7uZG`C$p1
z;H=M}XoK&=KYwu52{--|4uyR~Kcur;qV7wghLsakV2=egKCFgq@R06XyKY2C)-`Re
z{}t3K2Q|$A76J&Ig8AVI+WTS5de;S)!bg7Lgdt0hiNTEJH}XV?-dDj7X6YT^MkDGx
zRwqsv%o}dTwWYM1iT&DbDrjeGCgtJOy3`Y7)k#mZ<WW($h?-RF|5_=O^iJR~zs&)w
z*#NaZ?8~Kw>)>?bMtxn~<%}2Wdj42HxFkw0=2fd#eBymEQOeeJx~8-A5l$U*mrf<;
z(zal`MG2toq~4QGM)fppsQmWa)ykOB;*3*r8L<+lG@YnB(yWouUc5)-RG?PMIO~GP
z<m+b(mdqnpgr%X|Le?VqsrA|-*2Qp%6}G~`{Gh80qbD{2oiM>aVj%LJv)VZGYKT>Z
z?WC&X7NP*t$b40Y;ui+p>=~s!S@}UU>?~GI&9n^JDaTUYtcoemz;Qmk=4dtH;0VLm
z9Je<{5EF?cDZAc{CkpC0J--}nM3qg4r^AoWVg*vvLKpQSJur|wfEbo~Yo_o{9+F3#
z&1}X|I&U-DcGqxMeDAO8h9f~>CYSLPpnkcBnx?8lQ->5(AJ<(8%j6XBsLF8kj5<94
z^N&&Gh472Vi_C^MZ!(y7hVgiFM2@EPDcci{m|``4n^s%tn`57%6h)KD=pek5v~Kx`
z{K<Mf>f_)`vtjTcp6mE^-q{b25(?p4bJvx5K8z{b(kkS%59+Wx6)y{_8N9LM8sm2w
zEXv?!yw{58?W^7y`T?SYq2zSkL&#k7Q=Y29?%(U4-YBY;suR80n)H#6I+OJynv!rO
zx}wvt^*dj2pa%sQ*D6<9@fCknXy^6XJ3G-kQHhkke`0;;=av#tJIn60Y7XZEdxvqC
zL7{1RnIEo3p!E-|l$Ru!u7$MaxT8DqCb(W%Nh8l753z9#B(YBqVX8$Np+2Jd{_r;&
z5`b*s>W1&*`9zRn+LZG5NSn0UslSs7OP!fw@ceY~#nfov?O>>H9j&acGj+pQ5UkAm
zF#@Nf-fAJzs8l>0xkz{|kH?dIM=w6&w0;p2f;3|usaLt7^W@0Cl7?q7FToZDOs8gl
zqC~{%{i3jm#@`07+&HX-d?rX|)q#UBq{E8&O#3(T3irIN`}XY?+7#Or2aSt>h%&2i
z%Qbj;k)BLIi#HyDsl{_sdI&mYL(!9FHGj{@pt+HMmkFXRooZ$N(BR66m8jq5Es~<u
z7}q155NsedtW)fN^|jCg9Q0#?LMkEmUo#68+T$Mq*Ww;(XOG_zYJBM)v_!ICi~G=n
zUB);V@G9T3a;t#BD8HO!_!7icZboqv`FQ8qiEJ&o=)|#lDJ6_gG!+Xiv|zDeVUWsH
znE!NG5@oJL$xf=5@^JTO?Rv@;xo4k4>H&8~l=53e`xjALj{thw4|yQ^iX-rAwS
zkT}2UwH&WJ6KGy~kKF?+)^7tE9bI+NAYc(<#+6P$HOalTe)eFXfXf(fPAj})SCYP$
z2Bv@7`;3ZfdF%9-FR<{Cb$YWird{9k>dt((HjK=QG&sIA;QERVuW%U>oq`pEM=hHe
zT^}YBtKz)fR(<}cXJ>rBsArQs@#fgn?Bp&+`Y8Cohtzhz$W@^~1Ro8<$aW_x5`i)D
zE8UBoUj<2Nxe|5`u_)@LGlP-nvO3H!#C~gT9rp0{X7_4+DFJUb;$w^0x{$(Ni^L5q
zq14*xgx?S(@8m)dYqM<{HJ`KR8UOW>4GrA3ZjP54nA{AT?Q>WiPS5J`JNz!wl20Ld
zDGazbp!U!AvEJ#`U3qfxT;RK_@ivfWfA@(vU9saG20YAx5C<r9I^QeD*i!K^+nb8b
zB-mCgjgyAcQo0*rg<t#g$8=h#$&|4s<)!nY-mjcYv?(No1s6QN2@F_r8AkT;O1h3z
zw)a#BHeUc~e?qVQ<MI!`Z%C{xaPE&xoFzGHyPl3GKWkex3tJH_=@RNbT?Zv!s%YAz
zg(m>i12-Xhi&b)(Zk;-ON^HW4etwR16{mB?yH(HcA?x}hx7NjoI&R32atTx^Rh&5K
zLeKW6HkFop|LT<T27ggM*4ecCK0dc%(ndQ32<7VfI>^#D-krGawD?sknE5R1KO07&
zi)9WYn8sJXS;E59bxc*Z5o5<VWZJgYb|4$wKQZ6rFIQbW{mzTJ#ev{Np~V#$7XH#2
zwxmT=rdO6K7(SaFMU0d)78OUyvB^^8^;S_L6AT;tn@;Iv*&cPNbplSpxHLET{<Bus
zHY-PBxY+)uqwzY|Eg5|jwjto%1hte0*FG9mptox<Ii@;Fl4rfff%tkMUDI$ZDH0>l
z|62&SCS{^0C~bjU$w!d+f=0i_nID<4!Kei-n*)C|^gI=PY!H2<BH4j4f&)%?rMM}h
zoG!7f*qXE-8QZQ$Ipw*AhK2#*rFV}{6%F#cb3z$|{=HG`rUOj*76Zuq7*qE}wssyr
zBp~F8)K>lldDipgcI`vf(j7EEAjlyvYe<X?4cD1?;@H*3z-X^GU_X>@RKr_38kR7u
z#EQudX&EwBU7yj2Kf=}`Am5E;COW49=oQ>~2qS#a<sh{ixvXye`v#sWTP+9#)_IDT
zm-qf9sEr^oWC;I-ylnB&w~-e=IZDuc1lAB!I;|$<N2L^FyJ{K&y$j_qo1{1_m+PK~
z3*ax1L*7Y>YwRLc_Vrl>>fT4V_HZ9eeZMYFh=4K4K>NVDkB<q%#J4v1`N#}2C^ACV
zxEWP!1~e_($GS8QQ?U=eQ{IRgn7CY*p1q3g?pcAC!8=vC>DQH-+8y1EJ#H(twPIDw
z)t+?krVO=^ken(Ts_=jP5)812a$Xg#Qw<%c!YK@#L#wBr?du!Q1034Le^nV7t&4Nl
zT#=@HRwP(yE{pZL8UvZk$QziT(APM2xw0!<IW6M?`zQW*P^M%gWA_v8Zvp}(C>RXp
z_p-YP-3c7%WiaKf*RyO@ESXcv>@&G8(y1+YNH5Rn;ON%EW_bSvGCY=TJFN9;;Wg)w
zMujHDfP%bO%GZF~pGOt79pn*_@i+#X%=}eQM#_zN1$VZRd<?j>S;j`yJa2l?o-yV|
z3l&9zcFD-tyulCx>`ySL1}h`YQ5$MqflYcOUel+)b5#e*aS&_^;t;d--(V2X#-Rz=
z`XT)xb<wgAHjJqnsgy1F1>Pc{1JlF91Mnent^MhpRz&Tu$UjjBZ-lq`eHbo~G{m{y
z2sih*5r^#t;kOJ0$>$YK+A8P4B#v>Jeln)m4#x?wBr|TE+~RwQsVfHiJL6WBNX%@6
zU{3`$GAuS&s)eypC*LG*=X~5tdc$OJ@vl8Z_RBJt_e68dHx+f<-EX#|+@Q@E(Hz2k
z4FG|}jcXo;Q*in?t+!txpNU{1(w&LD&?b$}6guO`H>&Y``X^~VA@Yy}esIhxcp#X+
z)zacWV!5?Dq~+fn%_{Qzp0EQp#;%o5xFT1KJs#`8FTJn;lo-UW&GzC{F11aU+L2kJ
zhJ~mTO0Soh$HF>s*;BrSm)1`1L2$%dB0`kGASVhfmjl($ll;%A#`meYkFB|nP|(?v
zAZWq?8O~j3eiPb42?zUZ3;~tjm!*vJF+53&?C?EYW(cC1qWU#U@^?2MLm~_4D5dvC
z+B~?%Tg}#EixJUjd*87&5^}?6I7~M5zU-b<bvCD`=JaB6YZgCc_|C*R{AD;`Qxv#Y
z>{5alic98gzLX55L#w=Hy<LY}ZCaUqyoZt<0?n$HzgFO3!LfCrpFN)P4ncyQ;2?C~
zFY#vAh@Ox}*x!bZ@L}YcM1l|vfJs|(y$H#(|9s!Id46|bPbe7k#TJ<nRUJo%99D0i
zZP<FJU>HkFBZe3q1{0H(G+mB`bLW>X`(D;(3j|5f+dE*}6pig(l4ENgW<DDfq_;s(
zF{Yq^8FX%(r{iAr3NkS2T9~58gx6pyC;PFUij#+AWF2M`m-?x3PURGB&hP_c|AcxD
z+=i`1)6kLj!Dpq#DOvjIFsD|5wxaA1>R^Owc*Z|vLo59sUy*6_zPgAQHs=7DV@BH1
znkkm-%3PD!s>;d~Bf*-#Yja&J)7Qn+fh)nru7BnPx^OCAQ21|p5tr@~#qXq4XIWV9
z`HQgrIH&o+S|*5@s!ab@=N0nbO!#$2-sl4J8xnlKX&!SCCZS9v;mk&N;|CKA_-bv1
zrgm(@7`xJmu^qQ5896Cc$&kL25*>qPl+ABi$UrA=IQiY-<z~{^=SptIj5C0XjQk~)
zt#JfBm=Qk3V|&|Kh!h)>tP2P{*Z2NBnV>l++I-0uk8NorhzdjI(^vkoHD6)}-9o*<
z>*JfY10T*~x)?hi4(ZS-npLzJ*tbK}=@BI7eY3Kc<EnHMefb@>*tmwl9hr)uh5;<`
zI~;EL9h7MYR&_dPh@pJ(<8}isS(Xj=Gj`uJx@2#it#Z}2F7hzFaHNt)C2w>252tB1
zvLRkAWtXPS$cTamULkq09{&7%@jH(qFbZXDA=qMDVv%V*dLhJ5DN7`lhN5hToz${m
zw61ylHWc&Sjf(2_Dz6x6xUZ49;n>E*NQFr|e%S#cA6AEJFk>)MR;~$$jR=Muxiac^
zFX&_J1rAbS%}t0=*{*r}?9bDib&^;G=D59iX3rLX4i)%j4K}l^Siaq5Aw*?UpyN>*
zU=VN2e$%WL<Z_pF{s@-oPpWu`KuM4ou#0IZ%qNZUK#7J4cIMCM-@i>MH(T5VLC1v9
zb(ohIJ3~}hf1oXKVCr-)R`a<UrG=`#a6JL=q!6f;I{;cK4faQY-_3-2?A{j6CaU=g
zZp4(uVo7SI+{_}~vEt`}0f~|l3y%OM$XtoSv_$u71xf-W3X|$*ya&JY(nFTyI#1k;
zbscO|bT$7L@e3XR9|sLA3$`_eRJ;UeU~rB61=c>03x%mucczC={0J70RX>qjn@cjW
zBuR)u!iFk^uGEBb4}3HiX!!ZZad2g=NBV?U2rz@C%7`N-D8o&3<aF9W%jplpuEC8B
zQrNJzf>_d+-jQ=FCIrZEo5O;x$$HvR9(>XZ+2Ba{5doekYncsLr7(N`^%p@xn6$@M
zU>W(7Pbtkp8xg;%g1LF13e`xx$;?XHH8&F#hIQbD$Kv2nO2SzASY^7N4O6qxQE4LD
zA5scHf_2(WJa5xS6?rQb!-9d4blDUFc35+QJb`UlzZj=a!BCB{#j^&$K{C}%WMHeK
zKLeOGog1kuQpW_xgkSpx|H4j(H(AL`T{3Rw-743@^>AzjJpbL8qXDMsCFaw!v?>ot
zA=h154EUJA0{f-Ub8A<dG&Yw)(|1qxw)bWNuaN%aA`UHsK8J73&AcJar@KB`_Dv2O
zN$g$~UFV-Q&r3!~xRxxn2e+GRDl6AId>V2bHGN1mdSG!Ecb~5LN0S2OOXs5stgC4Y
zy_JJt?QpJDeEU`b<m4-iSg{&K!SNFC6-+$h9|_$No6$aFzGk1Q5J)&!(fBeGq@Q>E
z1s;NC78{hv6^v<Ox!hRa`|<6P2e>{K?@v!1cpvz0F1qTV>rm&9%$ViDq>D*eCz%W!
zFZef3JydYXp-p!v{Ze?h`}vl|9?a#B0IffEbPsBRtF)j**}KQ`4=Y&Krel<lTVJS7
z;Q)enRaK`}>BV29=lk`4@7*F<bpVp^Z<b2G!%v;8b^Fwur_!oLDZUn&=|C=)cj*wG
z3LyGeN%vd{PhiGp#mJ9(B+=@Vqrc4_iY)vqXw&{e$`D7fr@|&~X=(7MbT}itz>$>p
zS5jJcqJ-)>@;pf_X}Qu67iY`LmD@94f`wxbGlfr@o|=qRSwPPh$5_7asCGKBI;Z(U
zX-x2u0oUoK^je4vOZ*&A3o(gPS1#DSHj?OJEvO^<uj{s#8bv@Q8`a|u`A;DA09!Zb
z^o6NAQPmY))$(%jZ#-g_^vrJ?uD25zp|P3Z^t|Z<&*vP%Hjru*MmNZ!n?V}dc}w}i
zIED=knCvyB$x=t9#V<Zta$`<fHe7mVQNMe)H6E-C#z!iJb(;a-9A9?%;#xHV8!`P_
z`0pGQ9`js%lCBJuzmDFH(V<+i-+doj9oz2z_(5lQDX_b{x!KFYa~6J#iyP)oKN~AY
zIKn&{0W9p=e86ii{*u@*8oy<Jj;y-^?<5l*ZFNTr&4pqQq2G>I6>Be0GhobC){U*p
zXfTi&b>76+kTK44oWISuI0@oin$O5O8D(y1W~0;TI(BrS;)@cn(<sL+c@5FCRLqy8
zSS{z=4|P4OKr3+DC*|w_;(%?FT(Rrp?djx6I)lcFv#j}?7RiKj?32zwWDuV49&bHv
zuLVJbIyXaoNMxiwR+@f95CTq6*Z{_CshA176(>A7c}xlQ1td?H2G0>k3J7Ay?gB2v
zWNIJBq&}TLBK>1W^6sa4_bIUZgGFGSb;+WSOGY(wyO7T|myihYOJkpCa~me@Z<8=V
zZbm%U@=S3l@_YUS5di5^+>X089$2Blpj~b7Zl3Gir}}Krnoxm40mgzWQv;EQhuj#r
zzteCBe=oNCvy~3UQW^aTYP5AG%Qj@PB&sV6m>V~K{J1_?`jQjfD5!!4A<qul)WD0*
zmX8$%=8Wdlql&>V8?LQabz3UC2$}e)IhcPh^uaJ)vlO$#N01}BKRwvF@~A29bv2_m
z9&=e<cy<xj+ORkl5iz5uqCkj&M{s01lx5C7dF}7zwRGJfSF9F6DBYVx=|QDsCYz(E
zUvi-0=#H3puvM~!<U7al^z9Vxpx8$Q-&J3eDNnGYCmap7v^E{1Jv-~|z@TZqWjhPy
zv~)bT92WwC(;|}m)8WGX-)wNq7_xBou@QStD}LOpxqh_Tf_ZOA{42+g&A-mxNn_=0
zP6$LZUs}@UOBY9ip|LR;unTFlmneO6uNg9}PcdWjAjF=P>h@SBL3MVsj%&DA@Ki^G
zEvb+|PxYd$8PKxMhv|XDH-6T~bmqML;buFmiwud#e`84`gFZ{y<srzrN_o>d8?it3
zT5S9UXw!80`{&ZA2H)`UZfJZG^TL1i1B?IoGk@S;Z*Y#wS@02mv(lc{8ot^X8$(bx
zyZ2Om?eN^qC@GEs-V2~Zs8O$qY;mtzt*m2*<h;eT7+_5Ch9n~`>gx5Xx}Lt5h3@x)
z15@B9CdyxsO+<x|{oO(`Hpz7@a^@lwUezbwO4@Ead%Jfm=?=cNEB2lqo>7UBn0f;!
zIR;rkD%Mgxk)C*AtQmk=8W<bhK4vk*YYzKW<Ev#$E3Of}4n@;%1(iEO?)9%446Ihn
zk1s&@ed*ZH(12mJ3>OhHL+Mf<@6tm9$Ku;M8VR>HscN?N;&aEszHO5pF18DE+lkqr
z6$K2JWHSB6urRq~KeZPcr!2A<i?_%8?~#Lnx21EoO=t4;pjnJAdfOQ+Jey$&ey_w+
zgyOxfZ}(&hQ)f3~Hzen(=3q%AXJjU<j5|&Yt_jU@U255&eBUb8*Ie1<;O3Sb2_jRb
zb<1OpESfE}Kdk<wES2?|%}Sf4n+*7)C1{fB8yb2TdL1m{#SAJaSDC>;Fqrj*(reZ7
zvB)tghS4sJa7csu&&Ir9f?JrakmWP>UOgcQ^uYY%HDe<%$S~4q0%`;j#8iuWuA)$0
zZA`l<`0Il0Q(!k;w3?8Cz$m^{9ao+H>UZ`b5Q>^Dlp*swVXyM|Qlg4eZ1Vtc4orA4
zb9;`jml`Lsawjc;WHag}S0*(5%2(ZqL6*KaMeo9rj!&p4j@Vh4;RWPkG&VKnut*|?
z0d%3Jp_MK(W!+qQ6T=55D{EK;q?=+}lA1@bVWrY@;prG-_Ia$&S`R$n$Df&<gSHYR
zOibBjA+G!MnxT$wJJ|vnYwxv^5vT~*_;J=Fm-Gic8A<T)uxCdQr*b|t+C&ijkEXMX
zih}*V_RuNPjdXW6(%s$C-QA5ef^>I>(v5(C(%mUYH%Q3?zBj*j{rNgGYYj7V$2n*3
zYkM(VCpX)&*b(?)S(lV~AuGDinm3gDY#(+zMh%j4%wo#Z-+MSZStOlvDSe18q_Go^
zULIZRxmo+F9aq1kd!7|pLJ`Bj+vUCp`%BBl%prN5KN#gT71)xrSHDi4{$P=$W=Djy
zE9TB>HCbKcCw>Au;?F)2Dk<DTE`NXKUv{sdPg?XK;!UKZ8zIC5i4UqY%{;9*xT2D8
zTtyXUb0&JhupAEOpLcJ%0WNN!j87^WMFL)VC?o$^1*DIRVIAjkm0YJGx!MizK${lq
zHhMR*8Ms${hi#1h-b(%|Kk4LtjiIo&mpd2{iWyChM<2N9c4H?afD$E8nRDQwO^M;{
z@>|at%di?F7w@}G7;kwFs#)%^hpY<&jvpF{K=T&y?=;i+4%gjb6E?Qt=zy?vUCRZ}
z4Io(t_or~^J+S`%g7p`GE#>m5_#5%HP*jv$CfemzB&bipisSb)=5{+Fgoug~eQ)~y
zZ;AcHL{CVr)|{~#O^w&JL~~f5aLQ-46DqP7asNe^Xak$sMHG>oaXoRoM2}8|CIwWS
z4C4xSXpjg=(RH^oh9$oNWIQ29t|DqGr$}ds4}U?)g9u&c`Q~_dK@>LLjW#(3jES1h
z*xO7-$YsL4>b}+UW|u1wBWES7h>o_gd@==wDERPVI-t2>w|X}PD?5Y?1J8ud6){L4
zBmPw}NmaMdbdn09ta=^#_2-(aB}Suetaxj#*G64Q6mUvU7fIyasAKtfy2|Mw@7kG!
zz<()cb)kPdMtSg{f-5B^X(>~`cGkLfCN!loF=>2Q@U}s~{Rg5+A2w5l{9kP7INPdc
z#z#SN+ECOCt(>y^+mc`%(53m;61|%lQXBm5ff1tXRL3S?HESv&_nAYc`n34MxeFvj
z0eeB7@)#0jJKmYL{tC1IQM4{k?PyX*Pfri%m!90pD;sxiVa#0XjTQRTd8S*IZ3cnm
z+Z*5ux*m>>XWNZ|H{0iu@X1oSbi5qu7`w6}oNtoT9t-)l<mEc`{?TpJ&k%3dOW5Q2
zEj2leef`<00*3;@-#tdxCeMRFKPbJ8kua^xQ?3}!B-FtCz`-KIS+Aie*Y1CPsOG+l
zztKsftZ3r7&jTa4G^lQ@<jZ}Kmbe+j#LwFQ`;f(hd7oQsl*0LI1Dk|XV`nFS`i8KO
z0H*y3&)UFw>KDRPQEh|FB7{C&OR0wz*Yj8lmjPo|M2_|xSv-zC@!^{o>)ki*Yt`cw
z^B}s%OuH+_`k;1Y!iisf+^gVd;iPOs<tQvjqUvljGSc(7J87I@tb8?#2w`cn6%4hu
z7XWNbl(0RZFOvj<{N(cMIea^}0F2Mq&Jur|l;zKOf*89U-%SsJgx&V;C$_p8Ny+(7
z#qwTFNUogIp)yNuUz`WLylS%UPJ|9n)h}iAil#%qo)=;)fC0TH@c~%w8LS`jBV`uM
zEMoYeRb+U=H_iMTd~%~x8Fm~7&rl&uA@D!Lw2!W9m<D?EU?8${sZd(&ofl1t&0QLr
z0|8%(+umwrF=o-^Ccc=LJ_|~g-R#ulqnFJ;-W-5jnhHFluc)Dr*};AGEu1iRV3)e9
zW_5dQ<FxEztavu9Fx^fiWVEHeGPEEj|KhKpUWk${!N9wt(Wl7f+o7UyrCBno**iP|
z=NY>VE-OFcn07TTomeOBQX33rl%nEwGnyX+R5-@Wx6AnlP*9Yu#OTjONkD$1>-?dL
zs9)gYUU#t_K{<;rJr!}gHDmN)=!JVQfPaGt4bc2_wzlVfp=qA#`$()Ymd#U<XtbnA
zE+M9_yHc2b<*^vAN<n(VmzY9j8o$vSC>UFuGt+|oIV&4F?BHRcn0zFe3<pAq25W+W
zUeh`pgQttlbdn_)i&uZ!O;Ne_kzHQPtzw&KVFIvY9C$zhbF$@|pP|0lotD(jn>1DA
zf~xW-Z|JPeD`*FN4fiW&={P4t;J>|=H=K|}mi=4`-&EWMv&?MalpH|BW+J+6lR@cC
zeBcBvM9$Fa@P}j@;>?h`ie(}x`gSYS0FpUjl`>LFEb`4B6KdKHxEhznP%36@z%Ar4
zfTfJ8SO{?B=$f`hm-Mn{Go<x~Gr{Qf$U^`hb<|iGgSlik!!ZCNI_Ty<a;DI)nI-OA
zCk#}6!Tovyeg9y=X8;wS#yj6j5#gck^a1kcnFd4mhdzuG`?2^x7XNPuX#0qc6R|GP
z-P#k?;@*<PdKF1564%S!1D;<lpYB(gCt<9dvn=10e!h;-a=PS<GVxhAJZYGWZli53
zo*wfVYB`G8>1a8vj)PCew{WjrnxGpD_(YmdsJBZVs*!ZDyuQ>F>VMkmonD);j)soE
zKiGKIk+{oeik}#d0C6Nlp62h?Won8*+2zstV(x_vp}pR&|D<AbVB~2p^RA#t8_x>G
zX7b=>uS~N}`xEK=UgkZ;s+AsC?!){PbwC*1q;2VX3Ny`w25lyWxu<s=eYlHag9wrL
ztWnY>SKEZ`8%`Ocgp<B{tNs8GL-cr;%x2qx8#3`mqFA}1MceT0>H6Mwr!o$%BjM(t
zxqtOofBlkO*|Z5q)}X6moUy_!fi40zIm73eE`iR#nZJ(1$8XeZm!T;12F4rtjK)KV
zXnrhKOd4d2@D1ZX_Q_8`pW~8K?Y?PZjyy2cD)vB!)>(?^oay@d9RwBxFYFE8OuZ+S
zQgi=1PIIbdI~ncf5%p++I^kR3MNp$%gYeh_W)~;XGE|rUOFjv>9tr+i5iIaJE<L+x
z0~jmF<txzw<Lw#b3#0sAcYP(bfA9>=1UrgI&56|;B5eZ-j&bbrN;4z2UmAR&Gmc(H
zD`6q%=%}goa{|uL!e*&9dVX7^ZtxHq)rrU05l5DD#T8xo5p?$)KL(q%$(Yrni3uh9
zI`!CyvW$9Jrnb&(|Is-MaqU}TJVY^7W4Y#n5-E0XADa6+AWSj-Of{T|s_qiX^qVO!
z3JccD><=y)MRSYnIFoKOovP2af*UsOXOsz?NNk+A$Xq#cB`a;sD4EHT{Uacd@`6tX
zsTMlc86IW2jrV~CnmOaYee<bC!fC%cY`?9)V<r?wfgF-iPC{aAO8>^XMRhOyH?0^i
zd|gxAnmQT>GW!rlA7Q%rU6*+CFD)xZkwBW!%1Q@@QA;9w;zvS5ru@AuAvo(4DiEP8
zsh7$$*95ZLN8`Q8CFvO%)s(+wczH*IL%A#!*pHe?=rhL3aNDRZ<Jrv>v&6JSH07O}
z7k%?V=u^LmD!c_TllxW@-I!?EioC6idY$%<vnHLtOANl>l;?QjNf?+K;THX32u9yH
zDcZu!l^%t&MlU`zXF_bYA^IG4y&la5#gUtE2ElJ3nFynLu!y2R4)3(q<MYm${WH!v
zYN!!2%JP*1<(HZmiK|3q!d1zTRFjZnH|vA>WK^mJA+VB!Nd`j>$-ZaY1O*<_cqt#H
z5`#+gyvG`Kiug-YAnJt~nd4>Jx_zn%rHOCu4cVT)td*0T^<AaHq2jX4Rk81R=sw!C
z=nI1%Qh>;()iXDLbl9@c6N!JwXI}ozcdb1=)&W)w{|(K!O1KDq!5`3W0#A3gKl2gF
zR|X+;X)liemSbsY*`N#QtFF<%r}2{>{q7I|+ZrvQY%Hc|yMxNyKzK_Vz-^zuxxD;!
zanh=ZQK!DN<gE3)PRuz{niv)Gd;8qtCb=%5&sIL~*adk4nfY(GAl5BhWYw+5Z**k-
zcmDY@k`q=Mh($=uP;1^!`>Qh%Zv?OCXSdJZJLA-6QxF*l=1drOAid9-0FC>=fEU;H
z(`}<84bi`dL+`9KMZ0Bofn{27?f)t>fY48VmA0_H?6AIaBJ+XTzMrJ`<@QT3K)Jz%
zYypP&f5~W<kS|!HWwiWW|I*8p^wEx(3N(+?(8Y}r=YP7*xUEfCamE%qB=abBk)AJe
zI4o{!Drr07xp~>`IS{Do(9ljD+;I4h+;r>L-66MndBau0-{<^njQ`PGDLQoQl*Y?F
zMPQ!jDomv5*mJ7AVfpfqbVrD^`?%TKOD!~0xe&U=j9w^ajVXCW(b5rfOI-d@5gBP$
z(Po6nekXQ3uV^jj(VX_Cx*Sb3o1V-h9Vv-Ws}H6g_HEYgr~ntlL|d^U0Q+#XTu6WP
z!-Zh}ENexswh#K^+@8q&b9EX{tai<<?)@OJ;uL=lB^zVXubs5#Da)=RvbUReX*MWg
zfaR%;5=Wd@98CQAd*#mHZ7M5*&)mR$U@qCxz$gNXu=u#1SqjDp-tD~4y~Ul#p}ec@
z9dSVn8|oNO`^D31{G4({$xJkRYeD_RMcEcLxvl=NdirS~U~8#_`Y(Ey1@->%!W2)P
z=%kX1KnI=P6^D0VC7F;F2Yq`F=Dbx_@eQDSJMy>|%2=tiMIdUADzl0RS%Y@azhv9B
zkNjqK6Z&;1oN^7$br?>9;nZlr77>dvO)Bv>XB|?Je?2Nkd_0xtI<11K1=Fu}K6@)c
z@4C8ri*&5ekz(oA1TtqnXIrZjxEdl4I0i0xN(5*!=*HYsOJyAM{!AWi0%!|SvS}WR
znJFVQ8r%Fl?6uia3so}uvC+BY6t)OUVi<^xIBe?pti-{r9Hm}(0DVx$#b5D3zn&LD
z`^EYb;Ig_vH@YyYyeekEmidWVV55WKClma42AU+U7%0}P(k-XE`a<wU(fA<vb^juE
z`KG&6J)1gQX-1WpNh`^k8|<;@PoZ<i-59@L^9(>S3`EP90hTmP3ey;FiE-0mT~^K;
z&gOVda`gVl01YD@4<D9QLykW=yc}66yE(pt)ezkUb0-wE;blL!-AS((teZz6#4!H8
z@ph#vvm)9S=vlc)3dfb%ZugjM)!og=KMTX#2;pL1+c(Sdzn_yD>X*IX=Wv<<U05&L
z4=7L%kir3LSMX~r*Q<=QAn<MloHj-Ue*s<<B-o{{mC*ftRhzv|30@UvF^4g<`MM$=
zA^(im->`4qKh?G5<J>#Ujs_-aa%(_D=_o3OKOOk?mb4ZkGj@JA$B65|gwwrr*rw^v
z_HRGM!;x|Y4H7E3QLc7O(0LzV0}eI0&rEuOJ;toNsRL|6dhgxY{qKgPTH*3XB6SsW
z)hHd?Oc$V{FrX1Wms+%@I6I>9g6mS6y1?8V(DaW+ww!dvv+vr(pjX=+4{0x3GV3Y-
zCndnDYdo}yJ<Mq>WFl;doFRl~Xm2v)HBhYo)nPy3U+`To*J5KcgMZIl{*=#D-pOY5
zadu}>r)_)z1rojpm#n0OB&wQdyaZ$j{RJPBGTQVyDhWS~hT)+C2Q~(ZB4Jt#F(UfI
zT*`u0+rA($#$`>3_+NPIZ+&Vz{&Uv3p!60Gy<LSNEhq5KcPjtBYte7<hN*HdwjTOB
zJ4pw`82v5!v0vwoRvcekcQm^;w$#EGHF-Vh(Y<SsN%WHX&ruIvh1l_H#$UWU>DAq<
z_7#WD2w|Y4=TX3GjmqiN3~`=mYD`UYjI{2?oF8CgiVbt`ty+>Jg@ow3HM&Vt?SLC|
z1dXft|7iiDR<WWUVx+)vkd?1Tkjr>Xa60mbycqwl_FDc~rT&%VpL3D2%4&Ycp*&@4
zC#OkEd<-Bub!s!fhU-G|{?PT$$THtu1RvE<F^Ezt_HZX5#=qM>#~bRu-+I3&I+@05
zTk2uHZC#M^yZuIR%SF2i4`JV5ZLzn_{=9F_t|cO2DQD;7ALk+9?VnG}moV#;@sO)4
z-bcYMtE-v)%a*oh5d#JHCw@<+keqGzS3?SFL)AXiNHLr0(z^eIGXyQteTP%!%ea)H
z)|%-{_*vl~kl9qRCCNawA{yuE^e+e$V^-g%@1OHe=>-j`t*K^>c!W_Ypwmn0r?rh7
zDT^Sowc?PEvCtgy^wg;~WFHHUh=Q3v9j&iOA}*Y@&VDTk|LibZnXOkJ;_+3RgE{&*
zMG}WnlwNBa3PNtOEeGcUYZs#a3uP)JyG!u=F*jMdq@RE5cR=B7AI63C6tpN1_8S@o
zpzQ(R5D;y}E&R)1<Hn1Zs7545KB`AHF!;n3PF?;8XP}er!hI=g6@ta+UWIc0G*1?S
z2)%WWL@pk!*6;7z+tb6mdLZ#Nmj-J8*6dBFKEx7c>LvtIoTpJEEMm00f~EF1IzKix
z9X`KO*#g1cPHTC<FJ?Rpbsv7s3c{-V8P;mbiHGzyCUH5zH$yB8F|sU3bL&gV2+{zj
z>TOri*{70cQj8GH_-xp_*$lL+lIXVXJ?8&WAYMoCuO_hm#C01k;G_d`QILY*t7^XK
zdyofkw-1v*Jp-uBb1E&rALH-7K}}up|K$G%l;;0pb-H&zrZ{-9;KosR(DUET*ps8V
ziubowDkS4p?{<8@-)dk;{j%x{_<ooP4RN7lFxFB+^np#ziQBkQ=x4{W)fyd|{vy@`
ze;c$26B4Tf_vugJuCF(NdA(tWTm5Y%hO`b9@@u3M-p7CD`gcDUXGqqw9fn7M<hri4
zz5UPvTla&m>AGUJt#Zh3p)uKP{}n|x9W(}rNfy-Ge(`DfSuW44u;L_h4i?#S9-1jo
zB7*3bbsiHh-9MRdV@#0gT+Rt>StK}WCY<p4wm3p&ZUO=<DY_z}mt(genX<|+v^s)n
z_O?D@w)siwV(!JZsMKMl#OYdw@#AC{`;h4j-b4wfYoV#KR2KFIJl^bCZn3v_;ktf}
zZdS!P3r=l7#>09yNhvk<hD>!Lo}<a5Xu}!lV+xF{{rpOY;Et2|w96yL)D1(LJRr%Q
z2E89t;Q%g|wzaar{WeMxyu~(%EH+M-3JT8wtJ8@R)_V1CScvTOUqTEJ4)J%ve_}H)
zQgFStvdiS%-8@Xo;&af}^I3j<J&YH}%O(+)^T5!fJU#8lr6UjU#d7Kdi43}jV6k}K
z1*u{4dtKchwE?;399M!jsWCD_inIrehwvwFo++HG9dSjN;9k1ek;nmjlrS=k+7y5j
z?t5;nC!D*9DI3%;#jI+^{+_)<jk)+FUtaE%^tINgG4O3E)FQQ3Y*2Rj;wngZRoKNl
za}dcjSVi|$hzvZNab2S<qB2$<&^^lzD{XbEqo(NInLrzIC|kz0GUOnE=P9|0)|L)x
zDfRAPrg{SvZOsXRh~t;VH)3ewL%mBc8R}w48wG?Jj?Q7Z;}eXzK;c7teX+~>>s{~1
zTHGykN3p>W1~Mwkv}Gdq6um-zSg7BS5JVDv88UJ;7<C@RG~t)HDFUEjG-UZCUE<)i
zIJ1#LwPMfluNH*w0Q5e)rx5;TYC4>l1DFaD?1y{Fc_oEdbGv*hiZP|?d&tBiRL50?
z=tQ`b$ievLM};%e4g`IOBf)|5qN9Vxx2#&|C{IN}3wdXSodCzt+FjjB$w4T}AM#(j
zA-M@N`MZTMhM%nxXa<4-u->mt&-K8LN8PlsOnPX(X>p3N9>4LpXZK9&%Hyc$?UxNS
zR3-{VMC_=Ck-=Bvm+_Z-z$v{|oxCi(T>qf|YMQ_7M|hpr2VbWYjNb%Y$cRU8Jp#Yi
zC6K^zVR}bBK$RG>6x8PG$&vCVdkM7iZiXSIPJgZqK^P7;tCvfn*zsx&)qqE=bSpBK
zqmEOA4N<qiWjmCTQUfp|_d1!DFPhZfMnb?;L%Ct>$BWY<2Tn-}amaL-5pn)|IB!C8
zfMM%wZ?~!IS$^;A<|s52PnJ#C3~R$(8JX5MEu7+jjJSN{vBT%o?=|#=PUCbihtNaC
zJGv-ZH=)MFgu#vpUS=_S2^|VOb3f~ye=_MRU(;^U76R<sXUPmcL{m5l4@LWNY3|(X
z`1ja7>_l366K)b*W$8mqaw{%|1ZW;A`;DyrKbeqWL-LPcX(k(M!Btb(?@xNn5Ec`R
zb1-zyS3^-Z2{98cLPrM&!_$H#oT_Ic2RZ17gu(MlUn)M3mqgsdEce;3M<fPze}5mX
z;3Gg08>5Q@XU!x&5n5E6OW1$0Us6}koyfYL4d)sS7?r>OnvPsic6k}LOEe5WjJ5J#
zTit+PzfLya5Y+L#Pt9!pp|Wi?Vw>&c;2^2i9Ly0Ieel-)3~;XY_pR~|*v=skNl)^@
zfq?-Kl7Y4kEh@iq=Jhy9`C~w2O#<H3B;)y4AAHrKi6`+7SK_V{YYH1XC@8W-^Sz$R
zCQF$0*<D;fc*dnxI7MXWAdg<ANFXz^-#&LW+^c-^8CuUoaO3cSuBW$Cz!PwecYl2P
zP~lOiX@3%6=R^GgNDuHA+J@F;lZhEH%GEI=<%VlE3XMrWWHlI=HW00enf;YrPSmyY
z`{C7NIhBYIKoCk(od8Qu4k<+1D!Rc})Y9ZcRROVzHX^O~r5ZvRv$&Dg@m1zuY#HX4
zPhMhvI$1pTcA;Qjve&8MetIz6XpM{4MInrdQpapK+bZhO$KTfemGap2wpuV=U7sc6
z?O;~-)`i4PLkC-=FzOHD$A6`_t}Jkg*jEyqwdMx08x@}P45%CmJ<H`VN*<RH8=cYu
zsu72GW~tJO)<2;jKNFUE3R}O9>wZs$K}X5OEDQ-egDNNg*)U;smM+uMIw))uV8$^}
zm)t_O1&8<@g#EbYG}N<i?3+UhkFC|&6&n@GW_|wEd$zo7vi@eRp@I$zN6!C%MAxVy
z>=7>l5puWfllV_}2Uw*Jfi(D4-2L*ky!PAQns1#Q9gn-I#KFdTfUflS3V_fgfOCo$
zM1`Q>vHbDtp^^iEQCF`=<Buc!XCJcHfLEIWzYWoJcay_S0&#y0zfKmyVIBXLMVtQg
zfn9?~fz8}mG6^g@=#RL$d%29m$Y2zVfdQq}vAp&z-BOR%*}VXTTE5((0}e8lfV41l
zzFV<fAN1`*oi=@0KsaL=%PlLqLX{cyHzta7suAW#{jfp88r8bePh(l^7f%{PTndl6
z@yO{|;<^ljd_o)TV19l3^h__%WNe54iPKiYSsUaGdMl89coZO#8q+cyLL(~lXRNb4
ziz*fIGV|9*yEJTp^cN?OQrCF*O;Qi!@zT`51@6$SOE)Br^rrmdKTn`(;-WxgT&Hc%
zlf#5{ScG<mNfvYXG(W9g_51o9<jJf53#-TWQ!zz{@}z(=p)?Z4B=yz4o{v8C>Bx2e
zG2y?zB|JzTG~bUe2*N8|_-gM@UPa~sTdZmFz_~qJrT~G+ZhHw3I;|uu8rA_%8$cxA
z1kLF)mgTNAqRbebO$J`2-}yj*id>^EJSWmG!%stADZL%)mzDGa{j3f{8o<#61%H}R
zc~{#45Hz67KNc~D!}^|CI1)!j+3#5f*gG5ETY+Cc$uGUtI)GdAZoq)%&TspX7f%rZ
zQK7Mcgq%2h+Rb#|-2G>5eNyDta=g;Oz(IKfRbx#vE!J(a_>@K1AUSfb%6ZJ^sg|ea
z$JGC(?yo!;sZ>=}fs8GH^jFZ+wk!A$Yw@#OXewuCB|ZLWl@x-Tp1`G3tI4`(ZL_6Q
zRTPBA4telePqL5oQF4B?b7@2P9IA8*;hTwgD`%TCUS(50`g{57j7@1veM3O(0c6{E
z^EXcwxzH-sTB#q)1ceelgMu%-*nXryZjl>SH=h}a7AlG`i_N;V24(Q%!E{^p_*PGI
zb92G|b3jNmP^<D0%hTueC<6glYZ2I_u-QsgES}xQ-YFAh&0B8lRZbI9dB`#n-{$J4
zZQuHuPrQ3?oNI0}9<d8!Q70=saz(b~>Ud0DPS>9+i7E7!3Zg2CVltyHFH_85yB#{2
z3|Gj_20<K0gfOXYi<Ds_vW3AX|4cUYzf@1}U}T6bHu;Og;tbMfvz#*Ou{SZCe{Zd$
zNUp2ROe0nd-~W**)MR)=e==uhb8X;oOcl+dNme~IJ}y*K^4A<<@0f0>E-w#oQ&^ve
z$b;w}#=iYGMtVm>%!U@iqg|zGe3QM@z0du{_eFwa=P4G%4;?56xZZc)qSE$ONTjUD
zt8yFGTw{^QGhr#ZvEC_5R*>p^>YMn1HZy;MpxM-WilNYlxx!L@WT?zZm9BVv5naDk
zg~(CIJ(v47kcOWf7Llxf><sXsND}J6+l>0Y;s7!%TUw|s&(ru%6?SHG4eSN2bQX}Q
zDr?{pzjD-TH!M#1g{Xd))|$^fJlX4)hk7JCRrt(UQagb9BRRo5XS_@SWGl&#Y>pmf
zLKGC$TQnM2P$+8qW9xM!7ue2j!&6!~Z~gMzl@Wa_pSA)I&k{B<iqd%z(T&nG5Exw<
zd#OXL<M~(qi|e`Z7_YmS4-4H3BlOeRt+n^!9xk=DtJ3PFdeRI~EcH1C8-O)_ACY-3
z!EFLA5@hmmetzDu>kr5fB{c`-*0Vr13uOEA$y&pqZNJ#MuC>4a6Hqtjy4%-vAVFLV
zz42<gzU8HW;Hyck%{P0s0{G^W0p}mTkw73m`3C{}#OtGrt9*&!WU_PfY0qz+m&1p^
z&8=xAzUyFL)_>DUK+G9}Z}KRw<GFnfB*ozqIdo-(kGkmV!*0Y71}+J@w~i*{WlzSw
zMrSah#6QkwHX{AKb3V!Ck?kvz#noW2d&7~GOAD)?R)0mTK%lY_T{3cG(a)ri`u4b7
zsh*XcU7VUOU&e-762g;@7(UVXo@>)abz64yO)d-7{q5J%RyRWS96|~=!UHOrkO3?B
z2UV_!v<8xVl;Gi#bPcKqQQewG3Nt?kvpQ}r(i*t7BVQU=2Bxhdt^?{{Pm|`<<X-7-
z;QiL=NtW_;P`~J!wk$60w0o@IKhw#9Iv(Iv`lT;?^S{*B3+(Z?S-?(b3mbrO1~LEj
zIQ`b5e(QlUw=9b#4#<qwI><C8FBgrIwUHV39{i6+aF(t<L2h}!3E3wMMmfBw7(Toe
z4Mm|!hO#~R>MFXbvDic|ZbCUL{cYqENkTJ9TFvGNMjaw{rHNz(r6NIT1iB?1bh{8G
zgseEVu@Bl&*>CBmssfeUokO~1n*5M0V`BHpOnZ~wAW}*b#qRuFY6fM+&HZTw?)i`T
zdCilbJw4nfmXX{&A%yUV5CT7)qZ!j%IAEmFt`Q!)xhZ)y_iER)WQ^m$_Jezj<Hj5C
zi#Z69D61(TbD0FPv;_wq0`v2R&!*`IzH6<uUt)?xlWhjv``uit{SJ0^c7})Hry>%m
zRLMR*Y}h2-qoltX$mebyuMWF<DXi&u_ckhp>rCm22L+Z%Kl@7Y4jml{6YMFxbHM2>
zhE7+uzP@zSCr7`;Q|~MBO}4S;0@bWi_SsgX&EC7V;+M2%CtE`)T$~3YM1NFYH$^@1
z$L@Th_L0`tXl!PDiE+fga~`1vYV>vnW{$$$)v9{U*m^9(Mu)^xDpQA#D>D?BrSUMK
zDQTQ(@|LcyYV<8FEknp6O8Wxc)V^pD55r%6R*6RK73OBl73Q=jjv5$y?zufC3Z7ps
z_7u|*=iFQDp;D=`WZ>c98NqaOmPnf-shc6G2Nd%}i&9a31QQgXWdPl;z3VwerqWd9
zPY@)1(-0{32zf8{0^l1?)Cq9Gn<od=d6a&gSEIj`<wHBhUt9`d6=6FYY$@?*poRc#
z_V%5axO!Rw_I5oZ?-!Sp0YP&nREdfME;VrQrFoghqpS)~na4l&zPJ5!klU5$C)4U}
z-dXU_Pm)mpad2`nTXhn3o~b<xRL(GUfvz_`yh?cE?CbjoxuM~utXvBorGJ>WQP8=u
z;Kx5p_~pOqJQBjP4kDS5$N|tbLE2mx6=9;hz-duRf4_u~716}14*!C9*G1`y%YjKI
z{i5owEA05Uy!-rHsJ2!Q0<CQyY-<vghylj5pM0i-N>*x5WEeA;@Q}~&1dK4^QWvUU
zVHSVV-Be}W-((dQum!T$^quNWc68?52(?dQ)G<DmMOMG393I6KQ$t6A$S0-c?q6li
zjug1p!S-IrsQrF=xeu4z-%Rt{EsCg;PC}U1jhK(k%aieQ`P6ck1zV3MjtHkoxi<*i
zSC8gCX3nXb&PYyR-G?MrP|5F`roV8VKHN;4V@fU$$NJ`HvuIBW`>?K>Fou*`7$Se3
zE<6)LNt~|p0EzDOPt?$2DG{o<oEQ2cc$~Gk#!#_hQCVE}OTp63koe0GcPJJ=-e{gS
z$=K3PV$@?HRwjF|cZO3b+I&XLiznh!#p6Y?2|CzbLj^I>7IOg6OuYr>S4d%nz+bNf
zwQ|#4R#tYhc<vxddh^vrtvU8VLZ5KKSeGT^HR0ynwC@uJgu?h+P#_!rsd3l%jJhOb
zI+Y-#m@Yj%9j&!vS^r7p-yfA%7w@;HjSGO|$;!%l1$+bm?oZ(Hd{s}4QpC<I*Yhh^
z`_*d*Vv@it8^A)=w*D@*ZE}FNd;o~OxOtok?%i;DZRUZ&$uqDg7l<st1Cl)G5>dX|
z7g;~_qC#H7>H)Ff_SILFqB-;m19^VA_}BaN1mbkAe#iX}74jO};UDGq@GI)uL96ih
z=Z#O#;vTOY65xS++5=gYph*b4mvW!i{V#g{m&H@ElkbJ!_s=3!UEuxu_q@CZHf5=^
zARE_V5nORa{mk>g(qys#Kf^sYUq0f`?{58)tM@5x5qtq4$uT%eUOox)Em>>%w7mR*
z)#<w{UaL;nK6Fzd+t{FG5<g)HZU~a*PlSA>v*E`DqFFy#>&NaEp4ejeNhhzR!{xam
zE=7$}LzEBF6{Ft!zG&BS(wvAULT{iT5CRNwSwKPEdMRLTNF3KS4GC#k3}YUvw(ef0
zilv*B8d~gXR_a49g++pzH9te&r3~PYrJ$|*@MQ@!7(mWb+uGvl=Xy4Drac$VHlwR*
zo@Oa-82HIlV|!tYvK&w$nEyz0bac$?o71;H_$dHB6ur5b4d3I2Fc=85zLOGDa?#S;
z=pvYvDbL<O&t0(190Y*8lPV^6;EtPWdB@$WoffduEQ8uH{oWhi_$yFEc6SG$FU`E}
zC9za;K%Hvaeqwgtomhr}Ooy)IyWfyoP`|<b{(bP?Xj;EXQh8NeCoO%G!IPhpz_4u{
zEy;B~_Xxod5_$7teaM#<FQrL!d7YGk%UGkr^HK|%Fpj8f6$BtsXk=2ba3{=p+HJ&)
zrxcV=lb`zoQLxBA=s#U)e*S0ImSb1;QARQ6s409h5@lCE?Leeua@EnIy|w@i3ApH8
z^Hk+Nql=HO9ADX}u6|ed5~GnYYUn}Zk{+%(XGdaWN=u(%0-AZyt$G_t?EAq#%uE!U
zdRvpobX_iU2b+M5_K@OV{%vhKlvREj3D3qAuKC)RV=Fmt*vgNagkR~E1|gq)RqBq^
zt$gu6f_<Qn`Rb0kur#&xC;lfPGuQ^RDdeyn>?yAZx-|L8oV%ykvopt@D^&^X8#5nD
zRa$ga4b!2$yeNdr;%8x3l}NXa?zr}vFn(uLi167>x3Hxbomd<!Ms!N6gka5L*JeP!
z0z`G-7k#&1e(omrm?kXs+%5dlPsF*0%nUrE$>V(Z5C+!7hwqLY3$P5T7>p={XoDVd
z=gM(c9)$_)dg*E_7r*{=db=T{S6kq_x;$|$!q%0AS#^&`GqWQ>M7YV-V85;h+3>4z
z<7FWfdakCM8I{5OlSNYVV6kxg3Hb||SZUJG&;TSzm9%*m`J|jz5t@v=??zg;+h_M6
z2QM$M&C?#+wsv)az@1ecR%#o%O+|Bp62y%THzWwalugFQw2_T9z5+&Hi9b*#074GO
z>eCN;!tbwQR02RY&daMT;WZ(vt@dBbm%uZU3m*gsv9KT4)Qt>j;2%e4|21Iicm)=X
z2rShb`LB!_w*ss*Y(K#M?_Bu+7FqDa`<LDKPK+4eK=3mN+j6tCj8y*{hSv>&ybJs@
z6Ga;I(ED`$1ReqL#SjQU7yploFcq-RX`B55vb^MbjJ>ydPU^ez&sv4oo&)_}BRV_(
zy*!oB=^Gk$ALRRkwkE01b|}I-pY0PcxO(+qTXWC9g_~jwAw`9MjTr$cVlMzQXwT|-
zi5qaF@WD^yn_DzYl)Hy}aFnTT&4QHxr(Sx;1E<_){kr}ARGCELWOXY&FV_Ph4Pux1
zaI`Ug$b6XJXDZPdx3RRJ*AC)qT~}YFG4U+FvRyy*m@GXLQ_xg9#MpjEL;Q^t$F?6B
zOdU)N>A;108%8mR5&vVcbLrjg8}<`lV|3V)iIYK9s-GI4@N)5yL3{Thn-H0}k%@Cq
zHl3(wBZp?7R9i6|4yAQ$6*qp`Y>`EKWWHQi$_&nD9eJ`tMykbd;{?<7Z1uGWFY>N0
zjARXCPozr8zZE*h5VN4?Oz!BvYlA#x<CEyuErRc6X!DU4_szD&#rXRA`uKSKq94dx
z9%~FeSNLpS9EqcNU0sXuz0-^LU^o5~<$LX*Kg);YMFI4CplNkS>l*d_7oeyORND0}
zv7!@<9zU2J{AcTyk$PRYNemijpI*-+MDmL5Nrh*W9jox9CKE$r<8zPK--7!_kv#p9
z*sgroa3&IIka~)Dn%9pKS3p2sMdID;=v8Sxf%HXQ`DZ9voLvif|7SgQgZ6lXfRZ6f
z4k2G(oJ5A9GxXbo1kYoXcdi!f=>5#sykC?xU@&vHRv{K#JmUKM9E1XCC53_H2AZZ@
zhM_k-vcYY`rcoO~Kbz3A(-f)@MzO=I8SQmJ{Z8^s^WOE-mgS9YFDsdM5heuQ&`z2}
zaM)zb=xUHfV6CA`;dDhGs+m`Q6~%8bN5l{dDaYl)K!&Ao@c+@js^>1eXe0qg1~D1&
z&^Pm?dkil*`WzK-wF&wRUIKaVrW4Viz3lBn*lDPdK5CGkoxeB4SeOo|eRyG{BQXE_
zEJDk7QP$R6=Ng9c@?dw<pj`C_73M*@WG27M-}*^S%r*94mIF;bghP~DeE=5UHi-=)
zt>_RX{0^!}WTaWjw#s@oYsX9&ckd@F(~9yJZn?+fpYYTKNXU?zO}^qzxm_a?`7tV$
z(cJ|?0!bQ@PcbK7(o+|&H<IfZx0iZ2y|-^6vFnWu)DqhC-L_af<x=NA(IC_6riNVB
ze*`Kq*8||)CQq;z>oWeZM(}@#u2bQHmaA*)y0IZTU(|oE^hpk&DFN`^M`*GU^(qy8
z;CAi(kCZ<pNRkdM`dv#bwAx#4S18RQnRzuC$G3l*K6CjI{s(v`S9sqZh6FFVZ(flm
zK_EvH4U(#U;XCF3s@UlL^~M>%RXWPte}P@)$J*vy>$iuvZ_&H>7+b)P)^p!;@!W?X
zatYu?ffVYO`@G+Lfj;nmj3fX&vh?#KguL@RECTGK4?%}TQFqRLL|YHT0IZMKb13zC
zcTvgZgMxtW57@TsNrV5pdX4;h&HICFzg|biKD=DNJ_1Y&z(U@2zv=JX#X4mHhNLed
z!kd4}d3z23{cJ?Rn8SB12wa<jz7uU;@&@1VzP{+gZMBZ@O;He?&w1No;Qhw^D~@q8
z?g{<<EMR?CS&$Q$gG-YGPfqmmnb*^DT{Hur1*3l~>N@nK!qQUjU>MZ3KRYap0O4Am
zE79Z~xQ4l?_$O4_Wl(?C)KVx5GU5z<g-`$NY_OM_$YyETjE6DBdR7gN(#+yIuAR?Y
zOzgpRC#zr+Sp-7Z2HC~}PbB2c;@z@|%#m{pT)*4u;XC^YeG&5<bc#A37EmKgHZxM8
zEf0tiZaQ;DM^5`n_@jXrGykBYTpO~yv2o@haNzgp&vz%8Ry<d|qSfm~rc6k9btSFP
zRjy}U`8>ygRPY$o`o;!Gm+j=^`+{W~5Q!R1&2)f=Z~zs84%nVA)(6S#N^RX*M|jFI
zZ1ZY-(e6M0idp}J*W~zG*nE1j$(0irptI-u0@#)sZ4o=+{o9~L$fB^mq>O~^L5AVV
zhW{TVmI!Pp|Ev`GMiQLNclyt%&YKrEoR-S?nwWB;7ohqEp*E$iS>y}YHfgmJ>!~-B
zK?jfI$0pA2xZ+HUPNSL4jiJQfr=Ou;_0)ZPeXb>Wrr)|_VZx+BV))1UpASKqo-XX~
zc`)P4TK6>!Q#2wOCx=6g(|f6UAtv?c{Jg$C7XslX{`j2{=?7f!=}Lq4D1^XF2p`GO
zgFNlB;3qZ;Ib9iYRU`2ZVJJHUJKcDak>L!5ctQ>9p4YSBmTGC3aPxB9MiCNXL-Ds9
zQ$L7nZ5wrIgyKyNPLjH>qdMz|;}))Y_HXor|2nCgYu9?^m`!14RNq3dF}P1}i$pA1
zB2%obtgNyptSaV?Vmg8rZL10g_G&YRc;8sU^NdzrU|}__(W$Pp4f|H7hlfk#A4KD8
zbbR0-fygT+=WOmz!R8+@vnm;1{rEpE0P7cM2Z#5a8n6=Iu~0Cx;6Ax;rxHSI<3+H+
zXBX1jY#04eGb*B$u5Gp9DZeFb;iSZBLoTW<H_>O~#vhC;GQ8AKMn|$tmDD`3NtYi{
z9cnycv3es3eO)NITSd9cco0@_++a~Fp7<Ff<%t}9M`jN>#eMTlwq>Frr4rd2Ia9W*
zLmTM6)>z-xla(2vN``OA-=eeXul~E9qzr7gX2TciDL2BFdOs3&<C||^$G;P#g#x*p
z!R-SZW9Wa2qoe<e@sv^f1FDoD^>=vU0oyR7K7VFpzFh(`3jiYefCz+^dq!5UOka+_
zyo^38AwB}^LlZ!qX}r21Ua^O-t$N7iEA$v_4<8SF?>D>);x?hSH~lZ355chQ6`j=P
z(D%AI0PV}a($p7FGc~<F<5m0%n#8X+8Guo&c`clb0SZRs`^IDb+8y!T{n3@dw_Ag!
zwqNF?Ps{e80SQvfQr@>h{r7yo^>3KBcShLy6N#V~z|=}i<&f&2i-W<FeA(>iXsnJ8
zsA-(f=%#L%E@*VC){Z>5xa1GS;e%A?60#|%H8yb8I%H`}h8md?PT?H?pkl8pd>6Ts
zE}p8bT!E(x!$c@vV>#oB)hi%YQv(A%oUZwfuh_%}f708!42&8D?__WtYZXLYU}0i~
z8s#eH#3bQ!ZJpZTV;9WiZCg$p+lJ5@B5cGF)f8KoaZ?=N_wklL%UPhq#<O#feU0kq
zY-#Z<a(4><kRe^{998-uxkaD7g<cye)OfQ;jShwazJKI83yIYR+FY?|rF;23>q!<4
z?~oC}v9A7>;jy7h8UI)v{g_XtO%*e=TO2HMdcql93q7|YR$7>J9GMA18yEWw8Nc`W
z`bv}aeR-R+tU+8wW}%yZRj}!`qzIS{3}Afx^|F+nqp#GMgk`|zUBXWyi09L#_XT~R
zu2rXSGVPG$%jVT*Ly4}Mdiy$({+IMGT`ESdFP9?1E)Tt|5u#-DgO>Q4*HzHjDK6p^
zf}&i6Z^|@t)|*<N4+W^gbQ1=lLsy!Vku2HpLGEnUM3is{CU>NzBhF>9j<r!%3B};b
zMkFLH$(qnxhT*C}@;0{E#^S_?z!Jo4Mf>#7;T(}oe@8|oz}zHdupnQxe=(ZJ?Ny@O
zz$@gw<-|er+3ogL3HPA(A)je7^TDYhGUrr^Wmt(hr7PQem(v>Ym`OB%L;+X3nn+_j
z%mBr$g<lHZbi3DC_DVn|)MS>SeHHQ?j6igSm6X1fl+0rnnY1z27<`*jibZ+{r{~uS
zllM*@T|(4#L<Idk*?3!6Y4Ur3C%Wb;M3|u2W>6X0lH8(>sgEm*C~FRd5n5i$K@(F9
zuZB9PSnRFxs|+nhdm)u0b<D{E-ZE7}f5g|4`3tv}?tUy};8afwyP3{`9eJFM2L=ru
zY)!}=<Mc==Uj>X(Y#B3EQa}@RvMjY>-3aY3PPS4z{46@;QtUHr4y7(x;I2FV<e{T|
zeyRlaAj`v1%f5LY%=PAzYh=#H4IV!P2(;{-jk=J^D;P;?P^afu>uKc7+2=b^@9Sy?
zXKEL9VIVkYUrNu&e^Y}sz5D6?`RWqX_7-51Lv4eI?j_=<z_6vBb5Bt7fDWNQUT50t
zLA(K!EB+Z<psn!l{@=^iYZ;&bm`$8-w_iIEQP0o$bg?@xPZ$4yv}F$H0sdt-p*@0R
z;HTQ*$D(b1_{&#=9|o8iUcHi%Io}IMJ(!Bguh_MG{9dF!YWscOj=Li9M)QN%AW`aR
zj+Jbxx>&@X3e}`cNpdQfN*gT-i%n@3Ca&JaqK!O|jL01+NG*8cs|_XTi;|_ob8rpP
zv0A6P{vJTI;)lpmLWSs3^u>{#UusV|%aoMnro|N3ZkznH@}?}83n7QFQJWF{&b-xI
zVx!FD<#_&FH$M@t0`ndPg%u{TD3O!nJQ^2NorvV9KHC_hwuGp$YIOrOQn}C&t$1BR
zsboPK`6>XSY5YDgrlt!yL^%67+`vSlMZ4;efnkMWL4apoU_&T16Ld1zZ(<V9o}4dv
zfu-xDNd^M8CwV+dw!>)UpeYZ>-r3+DR<aF++{IAG%3jXI5~U!);){I~Tpeo7Tg}$j
z*UyfB6t<I*?Y$QOhqek&X)5Squtd06DWsgU;Tfqwdro$g%)x|kZnzY5HvSiZbAbt!
zD62y6NxnlR={nQ3xaztuJf-m20wg)B_MZ2NA=+{g5)I{@^!#B_L^@5Tl5DiE@nuV+
z8VSXFi$o5-Z_uM{GgO|_w41<J7;v$(t2Sg&p#SpWTjJWM$!G_Ci}-E7WRpe5OlCUi
z&pzyFP`t2x6pCZ^cn>S-!$%IpQ7V!h`3GXUN)5RNtt=@uQofZvu}7LN+ebw|Le-no
zTbCVdJ~o_#p-5~X8gi_eBqO*sEB(tfz2fq!e)P;+Lr(OTb<AOHd7zLe>p!`XwunO2
zazJ>88y%r)hgcE<wJ`b1!QGwn@IyB4N<2O%v>q7c@{Hd)A>(y-M94Y6z+pF(&bNDS
zLU*JYeJZVk=J37`Ishf;*bh1XC&W!M{L&pgw{InMox6#GK)qwbB~E3o7T1q!H%;##
z8fj?~il*x*Srbdk&PoLzdYbn&1F4V3pt-X$GmrAx4Z;t>9=xcmN)L8u`%he}j)jQ{
zR?Ow`+EUm7j^~Cvm;x!1ObiuO{%FXR_+xSt>MM?p#jw54o2P~;N;nTX6#~(v8dhJ{
zX#R=Xgos0oVRo;ABd>@Va`nLDbrqG_M>1aVD~asgGS_Lc%sZ%%u?*I4d(6%qdnF)q
z8KV2)!#B&vpfX;WZ+S`3lLhbJK6TE4uvkBE@EJfqfH^s&?{%klUIVA;b05sx_L+S0
z-v2GlK)--zP_hH5_5|?oKa;kso&EpHojv3q03|v@9>5Xphu`z>A_|M`!;wg0h$u!9
zIu-2?Ye0K?tx)6Yq553-3_pDEzB_dq0ZK70r5H0wtlx+LTZS#go)q|-r%|pSnRS$z
zms-mV&N@Di-+ljjZ_H8;%I>KV0fO^|aGH&pa+rV&mgib&nx+l|)z4T)jlLN#tKGp~
z<57`!nOfBM_|0KGIgPdXHhN|>);rUxQU*Z>drm``xb;|6b^2?^vBXg`{Rx$m4(7(;
zBn$-(9%<27rfG7xeT)yI(EWDhOx%)KE-~S~!Hw6FI6YezMCM#`d@;F5Jl_-G$7#w>
zPeKf)bb8tPtB&)^)NR4v`(Tl=Mo?0>x;;76+)muSq=iJB(+W+2S-$Z;eHn#ft@MCw
zC;>)<&?B~<RT2gIp;y<<%}ol$e{Z0mN0`2Ge}F(VXF&fnO1Ts)&^eO}qi!8Kz?qO5
zgF9f!^nN=fG(|gcnNm&CfmC5~aLThD;%~GC6~fNri>M*bm^Nw}dh!$@c;0UA?adqc
zAe1W<MnrA_DNH&O?b#z`wyRJku8dkY9&{!C!M@&1o5|$Nlhgiun42*XP2{TPL{FBg
z^n*|;raWFvG#nN}So$sD+0pg)j?YtR6uVYL2;A(#3(v6G5gdvuDx`5srInPCeeXm~
z4*yg3JfdyYZ&Mq1g~v$tgf|CJFbaA|aV7ho=VuU)6C9+_hY%Ohg&e$=6~%U0^3u3a
zPcutuvs$AFAlTaq=!AUKvbE`=Y3kD*>i12)7sH7WriV{Ky4d-nyyJa~#$UgFRjql=
zV1hUDqh@4&r2JQ|9%#B^mt2|UU!6AE?>Dr8Yl_b?tj>r%D`)TkD@;OGDEMIt84xPK
z{-)L`fVpRy93{$(fgHnw8FC=Be)TEgzeh`Fmq8VSS$iC-G35`Dks^87vj$^Bz6EsN
zzAkL!Rx;zB#Ivps8n=EM)RLn^JY{6I(Gj0>pl#n(A`a7yxctUr#}emrN}dxT=C)ON
z@-KUn7e5e^N@3&cZxwRRL1_ZzOnE2)!S|&I_l;f~;HR-6Lwphnh2ladb5Yf4w>J&?
zoh)N$(M9^y#QcOK;A}zcbXV7I<Ll++_0Q%BuhZ<-QOB#H&EOZoj=$5I`|?&rKWGcR
zURQs)JRk&LB7A%5`sNSTs(RHRewW+cD1aOir|bmt=bJ+=&d&-SvkLg96Zi-F&ADFN
zCdNQq)xeP~85{kR>jObvN#Mum3gx^`YLexPd$1n|*}C-mtZK)@DKK~N1+8OyrL!~(
zv}O`gwtWBPlKLr$VnokKh4+*xvGxj^LozmJ<CY8&=pnmvTn3IkvI(WRZ!4YSY0}Xp
z#u`_noHE+l{?n?M)1U5E=?Yxs|GcF(MwA@eRmzF#*Hf4f(rgl%h@C8RlVV=%7nI|I
zKAWLxLD4dZIj!XU{d=Lsn1&TRwhubns5puL@a{H72<os+Z3dhu2Dj>{&+%0QpH?SW
zP)g7~KbXi=f+7j3+e#9C4w_<Q+#GY|blnW*fkWqdU2G7zWZ!+ttB=olru2<<V3LAB
z0tPIi+4nydOXSxK(7xb*OecU>Sw*uWKzGr42G6$5029=TYVUf~cf6tEe@jWrvai=m
zpoHV!pt(j@gkC&xa&qP=|A1RiZa1(OW{+|=q^e-P2xI3h>Di+fkb_m!KQ#K%Wxn)1
zU({(})>{E|^i3b1pJ0cV<Bb0l%e*6>5F))bON<RolPpBkdLAFaq78y*FZh4KqLmki
zsu;pLTSSD#Kw5@0g?*IRm3xx>scF_FtiF<<(&v+-F@R`SiYU5&Zk(CtsjfmqL^QF;
z|NbO$-e(>X0{6L*qrp$#(MLC)yfr#ieV7gsA+P0W-&a1oIge_L0I{FZD3QJIbdY`w
z135gDkS??O`W$RWv9K`dRR4ie%HLHVIED*Z0-Ewlcw<!P%IZ}tGaG~u4gYO`_)nbM
z;9<Si+5ZYc7{qGD)Ait+tatf(rPdk88h^RyVn_OyrH}2cr4#3W*UQY#US+q|@g@~H
zzP~5DD3f-m!MB<^ub3AW2HKs;NwhWJKZz!lN%c4Sf)XEOr}hISIMZc+bJ*nGb;*Qr
zaXKhz<0Pa0;72l_V?1(_$BdMUH<w3(hJ(gP)>>QGNVB?$R+mp$g+@l^irQunT$nZ>
zZhi{~BLT&AnJ9NH{<ygBdp<dEdg_q9+0*-sNUdtcYv!ZOgpgCb6_-e|F(*YuM>c@}
zOjUg`b!$Mi`q^4R@j)&;<$R4?5_5kyC50s7cZ3S5psOk-tyAa2YYYdV^{b#+^o;;N
zsQW*eCp>}1aYvoa&CUE;m#=GHs!#q~f%iaG0<t(4K+iq6%lq+@<k`kA{>@m>N(un_
z&!^{?ey0g?G-N3?)F_F%Td<1DUf?uR1lp5TC?a%CV~>|lq<!<f1@d}W8O+Cl5V5Qu
zPH&QfBRy+=m8=C(7c*@lz%hnoZF2+PtN>fFkhYI8%WY-RuT(gsz7@U-M{-aX46kne
z0txp!!<93dLuIFvvRoZT$G)d9_ma%`M2AD2s26fC$a+w-g-XpE5|&q$uV0UodOI^L
zcSX=(YAWK=@S4CPFU>hQ)6Ae4%WBD{rcP(3nrRT`sL4k`O8bcM)x~DaOgW3`dBYMq
z3SYp14fIlvkB_t@lF%aX*jd!@NvcZy&=7iArw-<1yDH69!8KhF<^>LT3;lLm?uwT3
z^p(KgE{NzG&thRsjqe49u$K)xI$HIAyX_C_u7Yb7aK6~}&=ULy9l~iZ9O+%}F<JGw
zIp50`BOQhPS|xo7q*lHghJQU2$>cDHGu21oj+G}SZQTV31IpA*<GFK`XjOybwihKy
zEz|{Eg4>H|;4czwFL0H6sUviCb=z<0J)&WxK-U5QCc9c&7wyu9eb0YlgHJ6e=!IX?
zuz)sIeQ`B2t4H1LT?@TQJ^k!7WS3@_jNb-Q9BMy1O>w1Jz_KZUuQANGn<-twj^RNT
zp&KWf6@1eo3*owgA{&^&@};y#DhV-R_Omc#KcmShLBu)btR6=F*u7qsuwH-`O|Vi~
zXcCHVfr<kW8<qDeO>m4MkP1h??nBjU<s9x@{F`p3FYAf6Eu@;u;RGODD9QAD>UiSO
z(j~uOwT*UTa$*61$wtJ>JawfB6jET!@8op;n34qAPtql7t3ET4`z73J5%aoal;06n
zf2`n5PD}_ZaYm}!0nE%TRi}((oi>2%Ob47szmKg-Ri9ijO-YlcB99<skRIkV?yy@U
zh)qY<X{;`Aq}3g-Y)RD|W}?r*mC!&Z4W;qYRD~Kpkc`YEGzas{Nc7oRmaOYDK64Cc
zcF~$@ej0MjSW*9G_At5%>fYyNWV1SLK>)=f{^9QKz6M!pC4FOqj|m4cXLPgJT{WUG
zSmUV{YYHKRElx_T{UXaTHt_=Ktq>-=4F9GS^qUO~mfwByt~YFy4dBAYKvWZT8(<<=
z!zR%zel0qGS&Q6cIR~B?AaG=dpICt&@egM`r#g_`&|i_;pi4Pf5kfi5Wbcf;@h
z`QMq`FP%+}8Q(P;r2h}?opcop@kxaGF9-CC5l90rUt=-;Co3fKh(3tnQqs}Uktx9_
z`}6k@nNf1MNo+Gl@4wP{Zm6{18J&2asaA;k?)`+#<F8Ur8Iz+15evwmahbNP4B|ZG
z=oiSE<c!61Z^_XmB{Mx9&*3iE6_hN@NujY0$x$OPOBHw)vVRY;tg!efBR&YIc9><e
z?vkX=p$_*V9qeJkIL+8i%O(+#M`s+4CcTl~oS?#hZirAHO(HKW#r%IXon=^5-`j<U
z2I-In>F$v3PNlm$q`Rf0OS(Y;X(?$Wq`SLgkdy`yeK)`V^>Xo*8J#)j?7i2s*1924
zMKkhO(jNq1AY19!ZOqvgA~*xM3s)-qg+|moFH>DcLi8P!d=Yrl!$y)HsKErjxub?3
znx4&6ZKJn>&srRPJc9&z;h{P{H-5dx9OVNzgxZy!)h&+YYRWiDBFFPz)!zShszrIk
zBgam*+VR=PgBYr?6Pt()Z*DXUP4P)&%^~h7{Op#etz#)lOy9)%vGMqGXQ!C+fTv?i
z{TvoYI_3u!?4IV$#PIbY7Pwb6-gAN>pG}-ylfG)eMBS#*78$$*o{SkGK<l-vw8wVR
z{}P_$9XNj%=`HHcMyIBz61PvbxuJjD#VaBb2yp6sbQ$M-$dmw}2!75Q|4zAQH;>ul
zGI@7i))+b-vYK6C4N@jM9aTor>y2G6#e6kn1K{wJZ*Y-j{A^@zu2j4lzK%s9z(Yc#
zVtnKYsaLYnbRBrrEhVv-pJp(ky{|;!;tOA1@WWMTu!dHw@rb)?uiW5|+AlU_Q5MJF
zjMbKQjD)JA45E2NTiY$9b7<l9f2`f3Kc%I#1d=bf?G%5GIWU%h+p0GLbz&e<JsT=;
zZu}yuCRW&zIQetlxrfJ6Z-f4E=MMWMdg{#c&fLMFQtE73rX!gyQ)E=2pr9bQ0t*!z
zEE2zex2^lZLl_DXxL^q<I$Ssi=X$sd49N?_henje>A$tgrQVFZ<HU>?O4(cT5q5Gi
z-dlDWzO}xlBTS18hq!6hk;U1{;BbcO;wIwIl!`}n6X!dn4YeeeyuGu&Zu?NbPe#;m
z88y#>6*_>U+6{Ykmf+1g157w=&n6r|qMDtZ?K*dU3_6o;14=YXXuo2~dj6U1x}7L?
zNZk=AG8gJEc@cLTgSR)-Y^i*3CYmb~@Fv{M=VXafZqDAQU06>v@I*R=2IL+@zL4KP
zD?ZO;ny&kPcG1frYCy@Fd>{9q^!-{1bd5g#`yWihy*44wz-@HoKdBZ#ayEniJwYc6
zHc2YQ{`~4Qc{<WrfAKMbt?zzpoa}ZN+{q$^&#f11EHOLJ^6eGr15zZEu=|;e`#1)k
z3(re-347pA_CLMsq$jV*c3LSXuYg4iv@>|N+D9|`$i7dvZNkhu^WmFxr~L85a_LI=
znq@83B%4BIRw)lv*39g4r0c{0@}WgHT0u`MCz10?6XL|T!mK(EW#IorWzg;%B~n7c
zQDoqhwk;~>(KH!nmk2MV>SICUfIv)>>LmnfkpzjeU=Y0|*cmlNR+ev?X;~p52BMz`
za2Vi1JC<8yXe)iRB;}K#@F;*qg{KVR*TSNZhrGw>4e`%kWZ-o~95~c#FN|lBrhEEh
zt%s)ACRkF&Y*wP=1-)MTtKd#L=*^>QyxfUbF3s>=#fyd=ZT@}qkz2Mton29r*K8{I
z?}GbUrut-HypE5GZwA>sw<O*X-~BULg6CCuJxZw9i*m~n{b+T?=FCM@tyXcb22(1=
zI?H7CPv6Xl6GGn?W$P1{)4VQ8(MjKrOANqrQAz{4!1duYaG^AU9IRo;_7V4o=qoAG
zoh(y(dqs!%D6rTstVDCRU{Q_MTQ>-RNEIJnb8BmPs+;;18?wjB%}3kKm-A%kgS?aN
z9w9lM*pg_R5YsBNAvD`NVS$b}!KRtHEwAv`w2}=Xkv}p9YB9h~e`{Xbjc?mfJ?U;1
zLi3Oa)jH>K3np*=Ak+B0b*{<NWr9p2aLC?hl}%!#+wX_lSA-PoYL2;o1)Y4+$t;~m
zU6a10LO<dKxTv`*>nqx<y>;53LYI9Y!9Hf(gdFwondmq;ELior?|)Fx(BR8|{mO!$
zo<ti44@<&67Kz@A>a)MN)VMl-mfcpG%gr@F;vEoq#p>kg<)!7hx^DDs)$5P87Irc=
zAC=P@RABZWrudp2ln`Q%l&$;zui*`Kqx9Q~Z*X5EHaK^qZ`AQ?KCd3%=2M8^GUG1f
zkG@1*E2h9(aac4I=E#vcv{j0bkx^(XjH}zNv_FEU5^bB%Hb~}A04KA2r~vD&fL=eT
zpwc&GnLz5e_8p12<&b*j%T*+H<*juvH*4py3x*@KpjXY+H8P6d)xCSvVik!gmfLrX
zvgIKL$z}co=#_x=?&}X48y&Q~*q>>dBiWTl^iNKjihE*FB;QA2Xws4NzU&N0wBTlq
zc}^G0sQo#&+$r%VaZ+*<+Brpeg*Ek_AG@{9x(kM~9If@X$YsKM>`mu<*&d5`$2$z|
zkw^OLcc>jsfcLVb3FStnNqrwLrRWzhjjaN)y+o>U2Jn;P8?Z}Zq|<&BnY^lq&IfuY
zaXdyurfQj%Ip-EBWGA9U^)z8DkSCnwwYk0Uk%`{Vo1k3Qoi6`khBl9%GoaD8?`zuu
zk_2dD+4!sApKAl6&>$4u3`o3_Pix>8IM$X6{yh|kDWV$!Ce1Uu12|mnf=(=6`D;u*
zyvGdKdagNs_PqsyK-Qn<p|m{{^m+bVCVEpoBDsGbwh5j=|HdZ&j6J(&Ht*v%?{^5k
z`v4*{<T*QTHF*oHF)j7>wSedGM~S`j`uR-;o&UgeZGu;a144A!e<+}5*?R-L6dd4>
z|9%FB_}`s%HuXLJy~2m{nY{YXE8`t}=Ph=bocQMw<hq~pV>dUR7lI9(Ak8ATIe^Xf
zP$QqRH<2gQeCwpVPV@4jh)=rkYn<>4u8fydiv#xq-fJ+D8cj@|xPCvFX(!#s9$<Hi
zmNp3t67(SAz3D%zvp(`x88|5Ee3lT#ram2s1pNZ2qDT<&5ymS<@lmWynzRPt<c9Rc
zij}vOi#xfiYpju1<TtTge3s^-s~M{h3h^XrB%VG0N=Gv6RfRWPv~lpTKT)*h)Gc4^
zCbQ>yjKN^xNV%D+xlRs>C(HFBG>M1oWFuf*$B1%Q$zP=qARiK$q}cma*XLhJr(2ab
z1=-fKp-FAtC0ndszxasz>04lu&uwOg8GhyP`riJ8Ds(K18%Q?ZF$Rw})#~_iSz3M9
zU%xR|k>b%4#I`z%9Fy#X<Lj|yT4V^mDG>Cmupb`>1oUlQ9O<zlv$49Xaixl~x%b(7
zpIrTPUvgwu$n^e{onV2cKX(25Li~aX5b5pneB?RohEr%a(Vv3E04Y;}?xR8prb+pr
zj_esARUIE615t!HaS(*>TUHIN*arn{;<Qxm^^Yr-yXp(WbgoZX^pVm-l8R^@;@3@1
z7QQ*e)s>+9NkoaO1H%fD+@(TlE=VR(la_4AVJqzW(g07Bye`bwjojj@y|D~uhwBml
z)}~e4j_?6BP_9C0zDkZ|L0)5!d||y~;4-QN$vlu`qV{Kdz6uk4)7nLxX748i=c3`&
z{Xk5`SgOdOkR?2akT#98Tn6X+RDCSZhH)A7`$~jgYmz;h@jJ5*&3J^Pqf*mCJe|Dm
zB&|A(LfXl{=6*+5yg%20#lmD&*uA(1Nnj^eUG_VKwxfwqIZ5_Zm2Z0V$nWlB;ycWp
zj9AakOvo0G-!S2)sEgXe_>)?Ut+#v6@<cpUR*f0#!xABdKQ6IR8l>5w-z-yXFnyXU
zH*RgR_a=54={X=wkPhz2mh$YiH!7K{6jVgkQ)xjtC)+{c@tSDQdKJM&2P^5pK!R0!
z{5XTJ(Hgo%WwxU((->u&Z?UC;`1*KiLcZ$tNl*EX{s2|AzS^%sS8*<Vjp5Fx%3bR#
zTZ~r44AM?^s%+IVaP|R-`~0;ln54K}oa97@vQ%}e&IBZOSjcrP$G`$&7+)pouU#}~
zhduX0e%A=N{Wd{c(Q`q<vsDFnJ0|l*9I89L&y9J9o}P(Wtin)`lzzYr`W5zUH339}
ze1OsgMSlSo{RO|v3w}Q%fSy}_{0@8m{lfhB>)9ap04@0LvfZ1;tP^$EPhjFPVbm4y
z@Z6JrAqNJ^1%EEV9Qzp+7X0rn7_^XMUub~NhG&=CtGUOgd6TDkV3i5{58&Ga-WbHE
zZv37i2#hI;UA`O@{=XOC*--cWO6dDlX~Gdw|7yx7{=nZn7AMb>vS+#ppU;w%MyOIg
z|3vHK-T5Y|iPQuS^M`423hWRVIDwiO{q@&`Zsw^`zEuYrB0V@+yS(<IcrCzj&lop&
z;$q^Yg+K+N_*_SdGb8(;xy}odj7@)*`Eo5fm0pXR9EJiGrl|kh;&wVg61K3dhH(Do
zHg63M?TcxiJWdRHdxoNl5;!gzDwK-uDhnNS+d;!<0V#~gqgdHdFI+<&m9q1NI~S!C
z=#bSI(>5cUPK<=qYfoJW#pGVZf|bK5<r$wP+&J^9Ig08sm116F2N+7)LK35ZwDoa#
zujG$?@j<tmpoDn#b*@Ul<_G!ST+mu+$;B8$wX48rGCTS<&~5hDR6`G<(0Y7Zl#heg
zQ@|AtQ`I84ivcsmZ@V{Q+vQ8DV8u;@+0yY1NJms_quxmo2$fZ($yTnR(7W|>yVgC`
zJi`<(qU+)|GFW_3Q>_5btDePw&SCcMiASZ9&e-7{t-n7FuZc)0Q>#vE>nG0pBQwmC
z{V8G&EhP-tBx*^Ht}f2NX!i}EHde#1JxqTR^gZY)&%l3VC7)}}*T-zQsK`lDjTj}3
zS>rwE5K$*V=UXp4ZOi+dz}(pFn}*XC_~@mV-tw<_5)F<3x`2h_ESvO_C0EU%R}c~s
zXMjaid)}KRy3UsbM~TJe<1pfnQt6Dx$G0XjAplkW*n(mM8w={Py;eRGS;P$y;~nl0
zGeEGc-4YAtRTt{sjzxYYkg{NF4{hyM&U05tk-iy__rHtv(_ZCp{j(Fx4l8ces(<qZ
zH0I>+IU_b0h%_`HN+GP^6i5Uv-o8MyPda$8%vhX6s2yRQZ#_U(ND0{NDsA^ZFZKRw
z5}(BzoJ=5PEsJif`n5A>MdVPS@txXUI;FVAtK9MLFYAz4;YRjFt%L$BVk%J=x*hQb
zUFXgFde}HtdOV$Gx~&8dNA|m7bG%NFai*E{e3UvzT{FtP3{uk+B@_FHv@o_vp`SIh
zn|}~nj|^djVD0!wexKl_>XI0|e0sbCKLkj32K`QhXU!*sLwcsD%No|N9mM3MnI{9j
zRFLbyu5a$X@f*$=xO)Pc0V*(#Wr%^TLLev_3Vf~|iyr_O2Qh#FdIEOUk>_Tj=3lus
zllf1-fwk5q_}1q6FMz+q85AvCCjLE4{Cf@D`;-N@G2oK<`&_y5+*T9-T30$ekMSX(
z3}OF24%nZbSHd*m7r?uE4AzlnoKTa)BGbRtXMCSn_uZ%fcpm(_`ws`45&V#mVG`6j
z`x6{j{`5X?Cce80o|7STH68kKWd$5cz48-b{P*FW5`D|W?`H{M0TV++0jucW^Q&Y2
zcG-yP>+1t?pPbl?se0B9zKci*R`!>dcbOKDOp8e5HIzi(h>;IHY<B!+Zx+ihdPZMW
z{2_;gL_ND@u8e~oOYh8CtTBu=a^*s8>I-z6j)~qhF`V%_#TZtXl;QJ#C+g6BCrflu
z`pzHgIy5c+?EF~7fZ3pW;nSnq`PYSEozi}f0_V+3V^|sramaA0xEf#e$9|27(Xs#@
zbU7MQ3q#`NA;J6$+M(=9n@nOB+^#6Qv&@^%o8OGKEjzW@^|P`cJFw0LE<VQg?^p-0
zn&=gp*%DFlZy&zABX%Y=Mk@f1)XR&pYiylb<EMp<t4}LEnu(PL6|ev5SC^)yxS!Yi
zeVevj>-4|Nxo)!axIg6P8053Inf#FP9J|+vNFFi#UB|A&%c!|qFURNP><k!bIkP&a
zJd=FvD3q#sf;V4|2U2L2Hben#2<!j^^SU<9flJyQI??YM;NzovlS-$cjwfS9Y{KfR
zK2iaF>tOVAUTfY*dQMlgrHu-iPWVir<Rm(m#qhQ^S2XbVu$MlYZ<&NNSffDs&26pz
zaon_JOu3=PYms+OyyIqPEzlIeL1Hl*SMf|h@l@P&OQ1M8@qM%0^UwDn%f@M~Ma?Pb
z)9|P#d-CB9|3X7p+&o>q$%uAee4#Qgrp?j}MJ`(W0*3A^>F+N@c5uQ-!9A;<LPtOI
zv>HnIsmzCaXWAZj*5vcn7@YG<{N>zVA^zwcQI}SnyuFV$e7(8brS-GjnsBX$dq5B!
z2a<X@RoSoo@~<NIW@@g22Yx1H_}?^p!ux@ElHt?Z8tZ1&dTf6gw@Cp-^o^I$JY+(w
zdB5`)13PK{D8C{aGs4RNq^BaOY27LKJQoVWDS(IfXL=s>?_3sFf(84lg%-pRggK{%
zhT;W3!Q2h@;xN4p)-%s*V_aNGFNy`Z4(GS9TT!)mENJkKhJKSk`hK>34Q%|=%5@uU
z^9ug)IEF9M$!hpsT&v54PEg9%o@S9`q>GPuqN<s1^v#S{pQ<@^6&zH#cU7v1li~dO
zgu^V^{`OUylc7qx<CDm|=q=?fcuw5jTIaCK^l$vUw9bf}x5<%63abT_mN$c)1wNoD
zGkt<rDZPW+H}>T{2&aCpD!v1G@!jtaIp2LRcKWFi=4dyAQ)pUw+s|OzGsol0V7eP5
z_)ZB@Cx6fkR{fx|QW%%1bXsQ*)6#w8+l%T-CFp4gww5Us%^$I$G^FW+CNjyjYPc!X
z^m&q&1G6<>MG@Xt+p)liW7+%&{E7OeWetUy^k`7)<CNWps8D!nw4uc>WZs8KdK083
zbz!+>?gG5ZsPrf-lqIRk{g!=s?^bJm(dwX~Tj=u`uIhatUahw%@f^GVz)KULa~`A4
zq>w_z4E<1ttIfFo_;>oEP-;#Y`ND64C)a)Qu9xB0NufP*6&^hK+BhV^u+SJ<DWLx6
zM)+K4L_@?2`Pq;JKn;99OYDwvD|tSwp5Ahiby*JIAy?n@^z<CdAj~JWF%^(Mp*b|^
z^Uj#Zm51IQ-P$vC{g&e;aXx$>L`dak3Jb48N<85P2kSgub9eQDZ$~NUM~nCQMu2Dr
z5_?re<3v+~Uk5`67rR8l9EypXlR5)07v_5^Zl|n)q=Nk4B&_Kb`m^@ssTBw5$A$&B
z7LYG~;)HFu0du7%>7qFmw<x@W*Jn&y>B8-UBxIQ$KIxAtDgiZ=o-vT@gSX3$G>bO%
z-;0~Iue~TGUFMn|E%Y0{{HSY^eQ%`-38CeofN!BLZwRT6^>9x_Kl{}nP&uq$sn4vF
zlJO?eE=(+GN2zLwD99aVvh&a7sQz(xiD%3*C%2b$lBUPa1QuTuGZj;`4orY~|5LFj
zqZaG;d|Gc93PgTVVPFR&zbx>7w5<l09FRX^hn;@xH_s-#@s;17W+InR|G-~5(R(?D
zf~eYR$n6~IW|B9-DPCWc$F0Mq!{WmX%4oyFG|E&Tx(bF>&ph^IiDJ8#XZLTiv+xM<
zSXk7sx%Ok)as-(DxqfA)O-M|!rNF(fq4nIpAG@arq=QrPoUqPak}`mm8pHlF_>L*c
zmY;N`lR#t&yWfbf%8LUTPx2@P#>dG2i%s+G?e9@Y&~S=3oik@hEz`{Re~;h)0r2JT
zX!6OF!MD*QTErZQ=&KduRIZDf)dI?p!o0gi*1NgeOmry%--+6GM3{Y+<4ogJ9+rlb
zIjQxc`6xOH#$Qwhpwvq%hR{VO-y;QvIDo@%aiZNKxCPm|x~kp!jZ>vRWGiRtLkQ=$
z_N9whh9CNBmUh{qGyzm@W=(n9sgm?c?54cdu_N{>#i<muz9>0^0r=+Cj0RV3veF}*
z5^fWv=!^DIvR(D2*^8GD-jC6PJm<eV?blG@(E7eI#9a7v6r9f)Hp(C1I`6qHGOYjr
z93#xzi6_+YQQ+sk(H|Fpif^G7bPReV7s_D0wSu?&`CiKB$E6ApCb9|c?RVdRO_OXT
zR=vx>-S#Yz^4`ncWrYb}&m!)DG3y4!%?W)2ky7H%^i=gfAV1TpUNJ>R(d44CF!Pfd
zeaQF|#Z>@yQLTId+lCzeZ*{FZ_TLw*DM-7U>&zZXZ=R(Je(N}plE~%bC<sNYokp8q
zFP5mB1a-0_=GCu+50e-4r37zV5ek!1kO@$y)yxtfyEy4wBn8*^`j_!xlufdk%yctk
zle4~Ei_$l2oo4ASe=M_DuwN-cvO{-|%)A(au^A+-M!>OP(OQQM6?}=xjK&EoO#w3@
zzwp^^(4x(AK)-TeaRRAs(D><!n9t^Ec|44uG(OhcuRWn(O6;{Xe0O#ZCJc`v%vKbH
z!h1(`gX5=T|B096Nn{aqR5kJ0caCD4=tH52)WEyXc7AtfMh#CLOtJc$=vi#jO7AD{
z#VyprklfZNtvJQETWF;zq&>cTo0r}8vE9Y(XH`JpFeVgBW|kVc=HFN$uBxpyNwmmz
zYBJ@s@SLRa6oP@r1cM2#M9zFO_{`5!6J+$o6$fJd3lNN?Txt60CfF`4F3;+<cnVuF
zO-Lpo=GH}xb8LUF0Dbw_(x|nQqTgYddUjeND4FJUy29m&9^j1sCcT-k+u7L}t{Zc-
z@E<0-LdwbMDcP&L3PX`sZ46=@v^emPE|k_x=Hq_;oO*1?K8s9vb~WZ$BvqP}_GJpC
zRJZkX2dFw%<Mt}){E>t@Fw7{c+=}$mIx=^Pa|^a*GW&<29^Tq;L^hF`eOr*AShHyz
zj0##DFY~uIhs1MCF&*-=uA;ZXwQiEuw1ZhEt@D9(=x7i|)1vJGJ-LaOEH>SZ%o@s3
z49H;|Xq~;ISB4IGQr4}sF5%%A(L%VXq^am=`c*t`OcrIp!{4{l9j<@JEpTT=r88#Q
z169c9=+ied*catqbMSL6<hnF9WX&km7WE(yw2Tmc1t@z93)&5ilQFK?9bOx8g;`!J
z;N06j>UvG96r}rB5m-W0={^p=?$<QWmB6A=P%l>(xeifG=(;SZ<QU)>AXgrAnX0ib
zq92Gzg*DJzK$Vmng>2mrho=9r<;YSt{dd%@^rNocJq=U8qz_)7k&$SwX+egI>fmwh
z9yzWq<)PV~-4ztfgJ8$VAirsC#WD=Uzh98;vm=b@+l4+X2!6?=`T?ip4_8Lq%OmT5
z;a$7Av1`g|*voc{XU={E1oeGAewr>5FY(|VNfzGB98ABEg%}Ri{hZLnw0-T$yGe_j
zYQg`KnTRKI)9J#|#6j9IcE{)1xF=cLGCiS&;Lw#uZVNdvffT}TgVsvTB7p))#D+K$
z@aCwJSg&0g;z_??rMPEtxZK$fbB^C$2E;{aWzwo9uuRPxOfI(U6MoF`c2z60jEsM@
z3Lbh?QC#IffCR`q$rX-<=xxO{gf6D$6fE!&>5C6c+eyp%sf^v}`HL0+gpY?{UY@W?
zs!*h5{0q1>824^6ja>K5yBB@@QWAo7GcX#qImNj}ZI~n^PTZcby$Q9J83YD3!JDba
znPkovvDItLaHPVIy34JK?>>A)fT*4o`TO#&OJP9B)yYiiEr*3ZfD0SEk0VHg$+>(l
ziyM6Azvaw2{K)-?0m-!Hx3Kej&fMI4K1fuSA&gctb$U%Bgv6DFK;Y%&<twe@yW{&^
z7;b4%hSMlewgz^K+|R)HDj)jLb?!@UO{lh;bczdcg{45!G*@d@krCxM;X@MY*IxC^
znaVGr#6dM2GID;83QzGf>PxvkUK{L;-%7WD`<k_aBqX^~2|8~mGUy2VX{?0gm!^mV
zl#8V2YYbGtMU|9nSCy2g$aUh*x?Poc3qlm7yp5&C&BIb6Gl4ITH^`}^J1&!*hDrjb
z-p8}Qwm2?qj?Es<Kr0wd>RZHin_n{z3~YIRVaC@^&HiQq4+AH(^wk=JUX<Z(2h?Wm
z>*?zGqJe@yFxPwShLrW4LKZ?%b@Z7zAKh<y<e8M-DX5grqIdbZ+;T60v?6g+M%qeG
z`?41p+RM?P<SLU|vx0-GCzTjBj3uV9q?}(NTlSF=^>J<_wiH`g!kZn9hPuIx<!dd+
zlCQpByzgf;m5$|9gQ+*J1;swl5s%!j`jKwhk@bO+j7>p~H}u6vC;o>tG$At=(HDw4
zFY*u&AsAR8x9-EE579g6a(cbRIG+n)lY~d|x%iyxnNgfQPl5(=iq7?r>04(RbZiOV
z%7$n-CfXLZP7%^fkjHppeDmv<<WbV(Elj?RmRE6#+}Ne=&gO`+{dA*{t4gyeT{8ur
z<Y}w!&D|4$I0-vTL0UIcm$~=$@qNxW;k%^lHgl)KnenH}kE+mU_+Ne790?X~IM{~K
z;qd|n$%T&|E-UXgdbo31HeB2j*yO-L5ta)n^MSd9bqcT2X>zc>!V%XLWdueMu`;N&
zIoNah+@vc&0I=GewLT&vrb(ehNg~shP<w<cGKO+c*Oh(BmskBlgG%xdo?aJ|^Hx{)
z^0#5^T3zGSM_s3MeP$kb$L+l}`9l+dx~{)V0)<DK<y>?KSKF>+Vv+v81T6x=m*q?U
z3qLsbKPD*1l7KUNff$Ih;fmzbVh+_iIyf93oMhYK4+MLb5VUp(w986M0{S46&KoL0
z4Iyv(){<l2zSlBr;TjA?a05}y(CQUl%uvo(P7mG?iBxnK)69i<$@ZOry%JkK5R;3;
z0zj808zT;Q*n<G=mNl+E$V%Jh{L@DtKTppaAkUqSd#T|y5Av<f$%tdU4QrdpueM`G
zcV+5efdXWq;=Q`R=eprO9PHFL7CnKhffoUl9&EFLOHTXi`D8pk%=;)5b1KX(O-WEx
z&YUz2a)42f{z93<EtFhBg(_glEdm3#<|?^EK^KtPz|-r85szgL=t-R&4DMQf=(c;O
z;Y7yF_FvT4I+|9ZK~)i;GxM><>2v~~jl0{p?*bDX+En2Xo?w9W&AOJ&BS3VeTeU>r
zU2){lBl6;CY~`szKeK}#)K)8ncf%>KsQ96vhfsiz6hmYZ_`~%bu7pkW^uVAVz|UrX
zl9H0{`JO%gy<k?*OJ7(4jr&f`^dE;EUssynkBDPHs(5Ib8=1n=GvvU!ATDs1X{Cn8
zieMGg=sE!dlM-eDjl+WNRn3Zj%cW!+g+d9kQEGUtZ-uM_nUEx~d}a-D8_1pyW|d-N
z3XxxmMsOp@K4QLXj@Y$W(AACZ_kckR^|CKfi=UgAbtKH--F#V;$K`@-7Tpy}3c+G<
zL7m(us(nd_W)}ftghnS+RabaR6<bIgD3{*6AtTKUM6AG9txRuW3Xx>`$QYQMm#*BM
zr;>26jlJK~QWdj|c2E(7tl`rZ$~v>D@^Oe-ovZAb(y6|kdVTwAze5dY@@YO{`6}?A
z8uO(fJB+<^VawmrB@n`uT{UXhEG~!QFSJ&@jkZ0Hx~U;Wc%8UEVup_*Yq2m<y~bqU
zYN2pkKXUG#qml1oKqv`MVTu~ZLZM-XCqwI9Sj3{lxNpjlIq0o~B+x`C3k%RyfreQx
zAryazm&E6^<>IeCJynwSV13?D+`ciVBwnWTs)2}aUWH@Xt&rjL{MCYl{C&x|zp}D&
zOr$Ovb(CC$#l1T3V=_}I5=jgXQ7%ktWOHWe=LdIA*(E;Qz1W{Vu|K^8UB3u|F9@E;
zO5eSI7l=)qoS$!I8}Y?2N}oea1JE&?FrE8dJI=iloJ?@(+x<KRNrgTmHcgvnXyeA9
zAj6Q<Xqk&%d&9s)Q&Qr*{!@DXh^Ul2%%1=%$AN&h%O42`3G-ZKDW{>>$Ac5?#sypL
zR%pIOoKcI5nP47ZxiW=;0xTcle5>66UdB<XQLdb2#WB01Qq4~iL2d}Y-T4f{8^TP>
z(&rb)?VM<QcrGyANAzX*ie=-E#Ji(V@nSw>_2RQBq}UIAXHl}2*^>O=CAO5`*Z8A2
z$#>MF&FZ_=s!&t^k5_bpXRL_miyJlT8@L8f*YHQ_Lun|A^shc=hf#dd|NVWJU>f{m
zFoi9~s+T<>{F@!&=pgF})MB~E%h|Fw%^-Pg?I2oU;1Dg(IDdRo(Kz%`h#h>EXfkTb
zbRQLAjTH527jwoB-0XKx0VS|vbfTvRhE(H|p^?!$kb@v0fqeb;Expt(ABu#8q_rBb
zPY=x{K|=)D_=I9xZ|~+A5;5XPq>wg;i62XM0kB9!?<LfbJx+`|ndiCLAFySSi?GpL
ze8->&5q#Dg%GX?9NOsr9m&5%lnJOPnvVU5RneeW{$pzV>aESi-J?7(kEX+G`O23$Y
z$=ku@n=GUX;f_(i4&)Y6xf5t%Av#rCoX@5v8FoXg(bR+ufsjb1nDY=AO<Kjdoe~Nf
zy=W?D`&_@yaxgGHF@K3LSK9HK(|8BZxdzj(^LpZ+!*FB5P<>zlQ8dPTmal6UkX_$<
z<xb-_4`~5^ng)ZAT@@Cxr{Y(vmrDA&$9mFHH%Qy!rKXANY{)pKbw$9_6lzrdhiuJp
zp^)R6++A<?a0?|`4(wETR1ErWWm>kueyoHQsQehOpOmPV(S7K`<@<0obaLj|;Ux;g
z3e_sBeKvg7qP=UBtY6?C6y`P1`uzyM(m(YwVARrNl8S<G5TfD7GFwC2tT)nyHzSg1
zcGdEQjQKIlY<k-qZ`R*<wo69&Vx?LQN9)IF`DMi!S;qkm<^E&if-C89Pyy$`V-TK<
zv&$1^-&@6UJ;E*F{ifBO84chL9zi0|Kpr@f9$Ss8qi10LYB`)jKWc!+njiH0=d+Of
zT;C#gU4;1r94t3rzTCBMeSsn=?MjN9f^Iw;6dA7T()ufF+q>SNzAvvngyKaj-v$C4
z$^bDBELC6WJCO*2GJDI`WNoXYR85K^8xaVy7Hdo~Qs32#R$!5quK&f34CN2ox%`rb
zkri|-VzVot$pBfp`foVr!cUKcKR9{ruA~~<Gd#mr0otnXlfSJbnZ*@Z)9#r{T<vhI
z!F?Wk6Qf72-U#;m!%^tm?5Mg!!tlM?({@AFqaLTdXIG~PiCHp{W7sm^rrpTsmb)@T
zVaAo>_luU0!pNFuiWiVEUL><huf1OHp2Hz}^GAyP;!_od#KY8wfIr`5)Z%16DXx{^
zd^++FoS#_&4b;`zq=QdYCO4uy#PM=6Kf%MkVYzWZ`>JNN;xXkMPP(z7ftx(>CSE5V
zk)D8!u|%~%w6kiz%L>aiFt8KYu8HIA7dltiyxZ4-KcLz>_gQ>BJv*c78c5<r4h3yY
z6*+g{BLI<ba9g>O>JY&&0<s{O$@ctRIQji>K>PN8d=>!vedP;yYls{R#wH?P2<Z`>
zX?b<Vrd!*DT>Qcf$H1gLpOS^_ye$k>?Vu6~Dk~>$ekIh9gZpnzIrdT4L?_x53lwI3
zyH(7-Ab0Z}=ptRpg1a{KW0KxnTgS1v_3S0I#lmQTk#tLNjVFgWcncSjI<I&wAD+U=
zbi+EEBzvDfLm{Ak^`jqzVwN4#DQl#AODe)uvlC1L{mse-EV(ydgkI^T$2Wbay4s!n
z3lWDrW-01knR8%ZufcK|LzS7i;5vO1BdD9$NS;7g=N04J81$-`LHY9Dw|Pc{^Ws_T
z=jdv%|0bda3!#vwRf1U6&tIN_7<!bo#QTqMCq|^<+bb*jFEMpCPe#EgtBOU|!mbfD
z`?-N|`XzM}>~Eb4vl|XHq_CcGesTd`-qUxwcZL%Zd}fA~!(#?Uy0uJm?i0s1zt7H`
zo;e~90mkXHRFP)7wTmS2vY;tPy^HbR5%@|T2M(*D?~jS9x_<OV<|s08qY+f;eWh?P
z?r^z1@ot>Z1LqXXnC2Fp7PtKu5QdVj-}ALWAO;M+ZP4dY+kDmHcXMPQ*8NJUqE(Te
zw9|YFHk?YE>f@M8=>yEk#QhRq(0C<d(UPXJS?Xw<u+GaYHSWBO-Wc>CYY>+Fxu44T
zD*`vvlI93l?<j>DKb_o|*JVyZ2MA*knf$%adO4~b$6i&I8aG7>N@-m?rBNP?)U(u4
zsLm*q66sr~dfCEsb8!>QYUz`(yp9ZbGdoq(WQ*43wXCt=-s>9ax!!2WodL@~5ze8=
zkNs9N6OEVM$huV~R^E|rfNT*}S=u8ciqT+>A!PuLC_~u$Fw^(#BNdf3Ar-mF3FzJc
zpPrVf*iP@g8~EJN5a-(~zg=!#wEGYB2M(v4GXk&F$Kh}%V-rrRaeW#cuGgJ^Ps1-(
z7xIO?ot7zYyrPP~WXlJi6beB!jg$Zg#U5`b7fIsRlub=)#S6W(-|K2*p!OL|Cks2Z
zD_J#y#OOey>GaleSf}&D*lQU*TX*W3uzbGJr#2!xat=3qAGYG?PrfcSW*?v=5$q-n
z-z!`jN^$buy{x{PeHhiKhIQh9ZDW|x!J;=c-QGc30)Z52DP>+NGb`+jM<4o{a%~U}
z^X|JLCQ$n}GN`3fkOHDkVqe3wnM&_lBq6JJ_B2<3J5y_13##<|^7-;qVL~V))GXr|
z1HY>aRdOxHEz%)y0owd+W`1YjuRlL2E{rc~Ie(nlNXQbt=qy!#J1!kn&w>v5YyoZ7
z*CkdKq<=%cm{C1r#{Fpl&n;l-)XF~4hphjGFM^Y9(j7DYO%|>8%Uf(UMk}Jq_FQV(
zs)^p0wX1+&89dZmy6z<Qc+vpIMJf&PUDqNQgEBlkb;&4@!WH??c7miBpZ1*K5xm`9
z(uWRM+Rjbz#nqqy8w!qxc+dc0a_4vNz&1-FGOZ3%)3$P23BU4SYR@5KaQ6cEipld>
zeBiRj55WElBYEk;I>vb9h+3Ckd>l3s@3lWcf!|TI&=sp*{T|Bm=8FKB2kwKJ4N~b{
zg_R)2Kfm@;yJI44@K|Q6+(-**z3pN>7x2(a7lgL8gkoqk5&HQTC%rq-40{vXA3De~
zvGeVivai>Npk`?L|GfabF;QQBHWSAWT#Qq3qv0`>MA^E#U!ASDH#g+yr$!V|7CXb8
z{aA>5S8~VP+AasDDSaKdX_ujPAPko~q@~0{83O$?CA*i)k%H}Q8%S`!hf3YnLcBk&
z;iGC%-a3GTRkzKTY-%ohWvkCzTx$0L&ut3<&z*C9uzE`Nre5zC8ZzEprCl2isth^(
z!4xGDWb1nCn$ATo3rkJjg9WYclQ$=EyqCAP^F(ddm&PtSRnugG9dJr79*yEBMBC`i
z$h6YShfcKGdv~!^vHI=+8sxAgEMH9?oBD$yg03FPvLnO%{YtZU=+?<{gV<8opXsf5
zgRu(N{quVo%%9u7`OPdYPlW2U9^W8mr-96Kg5xoBm-$(|<CKafMJSmQEO)uuW7M4%
zS|Uj&(@?unw=(!zW9Ne3|A5WM8Vxc=kDGlinr0Ngrpq-Nf|cc2H!Ymk0I}@xklVBP
z=7-#0v2jrIR+EB1R<gy7s;#iML1Il41G1o5Uz#H18@M41SVap?&6OEJQ#H=5>~UB-
zMf2}U5w2^IDG|dY^wLp%CU2f9DVuSsD3$ZZ3<%uV#T=Y8#VQ$MDlS7%r7Y0gz4lxL
z^MLMV-Jthm&kqGChmOR%*x!uK6Nyix&;=oeXXU3<aVoJyQR*I+;>7ZSV+WHM2}?qr
z5(3Y^Rk3(1ay7=C7>GD|1wfzjBY9y2s!<VxJP<6kosQFbYwd#58$aL}go2C0#=C1-
z$5(75L>J_Bv+>!s5i$C%zUnfRfH&_n-dtJfeX2aR@4@#^O%S$*v&PrmoGZE2`4jeU
zTw#N<&F5k#M-djZAu_~7p56wC*8UE|s(T3!x@f^+_>^#y4P54r-3Dk(LFact=fmWK
zDZ83lhI7c_AvE~pvnSnW7!LmQ1aDrl6kL@Lim)wJ<$7I@pp}07O-Y4C4b62=;KY|v
zn~43zak5kKLNk32j=$(rv34a{Vt1XTtuF1cAn^ZtdA+{Lg9{cyP3$=Ss@7N-k`CC}
zfc^W5WD1zMV8l2V8#*ZveBM^uFWo8%e90-La_*J$To=YJn67%eu&Dj29<GlEmgy4D
zm)XxWbY?DgX0k&e^UCpvY{F~?UE3F8`0K))r;eIV506j3O2q2Jd*o;#%PN*pq-|6x
z2*WiYmkk*)JVq`&2L+WHlfWHYBir5M)6w?AN@r)MLBp|(5bcd(&MSHn`^%H@X<q3Q
z4?$;pPNi87(8JnNsCq*KmO9MSE#NB=Ql`UozxpjsFxFahc_3+TO3J`ds-TUfWwmW(
z=MCmCc&A=D?p@UTe{E9_KB%;>|3FaOw0OOT_#ThDP76Ll&R6ngESkE#g_;mc4w?%V
z5U{Ka5JK00Q^9jG!QW9I7awa|f=E1LqW=M229Bo6zkDY(-M&{<)@#S`AcU1+$kH~e
z!ru|AL)N#9{_1|KzhzzY#THoUzXV(H1au8w$<3X+R&^e6Mgg<qGT3JnrIrW%%FVqh
zO;u#%4Qxs>u8sqOJ7JignHKkQ*TX3bYG~o&F@gj|iJ_jJLP|m0dGM3pf>W$yk!Lt+
z8NO=I)(AKqZU&9%y^GJ(9IKzXKoB1qWB%)<%b(93VFry?ngu7Xg_Y#MgZ(f9ffRGo
zC_V8*lk%et2+)@s7g*IWG+#glR_a+~1Ty5&vn`I)`My5f=KEW_yK5xWU~2BX{KQ4{
zFc!WB5f3{cak_Gv(5v3Seb}Dh!_=?lGvK}p3}$Sr1KSWrFys37><za}v>0}+h<r!-
z$&kT_S(>iQPdM(j!k<j^u#e^}$vrPia_?3mm>5R<Wj9>NE1zOIVq=SU@5Waz&S;t&
zSy+NS-&to@>bZ2e+If1WMFIWdoW<!~?4w>1sSs(lKdx-<i%=Aw{KfOTSJiTWLrxja
zG_POJc}0gXSzJHQs6)C!r0SN&Y3`nVPj}KX4|}QNOP_{{PD~^JNw5Z5g>Ix0YnTEL
z8Gq3jl^|fJhYo{GFht5%1rPt`o^?JeJ9-xpLRjQBQsjOJ`D&)GGCxynsxPev#~LaV
ztZ9*MVrxW>hA1bil6H`bK2|yX$jpDHtcx@4_}V~E?}6=m`$Is``9>#@iB)x>dgkGg
z7lwv~qY5dx&zla@?|TYr<qK)K-?5}=i}{FQ#f_b*>XR?wL+W3v%$}F>cYs6CIeok=
zHCi8!%4ilg+6tc1c7lJ=VkTp3mL@AK3n?o3@Dol5?Oq&=I4@p0v~@urCUUIXA;Y%6
z>dhD>bCkQsn}@4MtbT1(4TX@%DZv?G+vuHu7E^IZVH4Zvj6j(LAqlWrlwX0Pw(ulD
ztW1>y!UbxNW*66v)BE+wPbs<pzCld$6X;XMwJf9d13#`h?9*7*DwWJ=`-Wq)&bh)A
zTZ*kP_BNg(Y&QuD>{^qFJ5aF!mn`_=sbSd>+2wN!*gx$tZT!tp_r$f-hF9aJW%{W0
zlV47fMyU$ks>2VIYl?V!gHqmM%aqdcrq{K3<%+)*%R#vA{4Vh?kV}`ouiP{oy}^$~
z_-s*-m1F?X?-|bYUeMwK^I|Gh-ng@c7`<W`imlogH@vnrU&iE}qI^C-{q*=v2IoUn
zLB~^)s<d4}>-+)i?Lp-B$pJLhgMh@wV!PGwU8<GAxlk&go!kArzPV`5I*`x2{85B}
zWcohr*Ako!^&m22Ejg1_Vm=13me5DAejsyX7Wtw#?}0T#zLJHi@L=uNRlHK#x|)?@
znV#M+Qu5ZXgBy)%-@4x~w59m^AHqaEZ{kZ4a;52rE()v0mo10xaIm3N=$`A;!K&Pq
z@5GCwOVn`PbHmN^Wdo6s$kwmuyWR;=?5TcLZ`5q>7usMjP4`w}pNn6!Orasj<&4D0
zI#6B0sD6=(a3H_L<~PHHOlf=Xa1kvo=WuCRxlu8ovAD31u*yOp<LcnG&im?I>o~QO
zxAiY#<&BiC0~nAyPt>H{tVPz+DJq9A+OS_{A%~h~{W8A%{B;3eat)4Awof%>4xih}
zXd83akNaJdQV0+rYY?A>;j*G8d`bAR7aru^zx0i?A`__jp*)<ugN;u8ve?}h!%!N9
zpP*71nr6(p>jQt~12x}iK6k%G2r%W1wk_^3p93G7w5Hf@!6s`KKehq;w8+ery9
zh0>cN1HiEj9AIqWrhU$E;_+X2es}X?G<`2ki8`LSh|uu5iGlhiR%E>5bFSr?u~{H_
z%QS^O?IF1T&>|a+*`F?)DA_d5!E~#Ri*6(#Q6}_vKy#E)<oNM#1S&y2OC{bS(4yw;
zoyG8*7PN6()kiw~eVuQ6WpUjmnPYl!u#>6zyMvaymh5<9ihVk_GZa(dF^wIIZZn%O
za4wY<+NSwMZQrKTLhjdK#MSU71o{oN^pPOvFD35Lc~=wU#?toCuu(jaYXuYnhLorz
z@m+HC9pZdD%{uE@fGeRg2BD+g?D+0csc06=0p;}&f1ST&!nT972y{f!diP!!Ld>E|
zsI;KtIPMS%GZcAUiG;XsGaRQLDKztb2f4@APY4D9H~arYH{14d4Khd+%a3rJv$Q;U
z3DMft*&v!PhSSAzTWi1CB9mbOYa##LAq@9`JpVeAy)Og7#+XW(xv-T*9}f;Jq)5tK
zs<qvIq21b(jc&|ERnk?)R!L19(af07Vm$usVRNz9<aOGu_5NIOoh6Z*+DP|&rnwq3
zRk0qY!`^A+JGrX-Uk}mCM5-N(tFr0S#r-@&i|t^<$&8yJ=O10!Ki1P%%>ObRKJjq=
zJIwCIl78jWrO!16<i{6B>%R=y%5=^YcP*B~IlTfI9L8e8y2~A_St<z=J2fkt0>0L5
zD|`dWWwS>}!21GLXZ>TAQ8%329|=wi6dw=&==gtw3E{zvGA-81fe!v#z*=RL0)q^D
z2PB9^T+BJi_x6tjl(cbcy)UHDAVYW`{>q|^aGe`(@SCpKq*FFYFK0wY49L%sDFvA5
zSb33P3ZzV;ORbdPLq0e3x#j*QeH|LGKFY6dZpuDRKd_1YMvK)auFk3biR?pv#rs=q
zqgL*Kzj5CgW?P#U%DB4CO>%QD+4u?49?_$OtgEJ9jp|1|6sE5U{n?C2+toisIjY2-
zK07<}5w78(tMqG8Dta5=1(kWv7-OEhg7R8v*RZ2Gs+fe&35*ngvr)7$^%Xg}Djja!
z-5-b?`Ad0*5<GRXL(|~92>&SX;0l^5F(HCryTDiTezq{_$hPwgfpjMcV~BcBh%V)e
z9Bfsd604;>`F3`WnAd%gJtL9~iKN_1n7nfV?VXo<!_Bp1U-t%+On#S`tSm3<ov{Ul
zu)sxov#H@3b@)tQbpSUbHqTpFi!mKz5$DU?(@T|cMJgsAw%lL!-GHk$#yQFW6Q=C0
zpy(iig5k*>JlxT()Pp8=Y_gTB^Y?UN1q{pi6A~L2-b2XGXoEq=3aoU1<DX$d2OeU6
z8I~+3ybi31md4iv+8nWCE{Or+l8`XL!A6<&*B(mRI4K_^A(_;DagFtTZ9#pLv#B|%
zh7)CuTw2sph>$3$FAlIie0uSP`>|gfe(#wY<>z)E{`}P{JjsmPVxM)bzX6VhYVJla
zCqD!G)JJu4yHU<j^2gGwK=%V4;BZ_xX*(9JIT-GK0M*(wzNoC@zWF*&Gifv%^_amZ
z5Zmgoi!XKGSF<M*poNxtx88iHn<mIvom6+v8l*RdUiv#HCu=>rQN0mj4aWyRr&gvY
zxsKFBWR9MpsBFjET^fG@=UdCOPp%MD<`04#mFG1bN{RV^-no!({kX~0_cuNj$r@*g
zlU^w<aee@em?%~|2GnfkE0M+EeS*XDev+_oNgu46s1G++8>?=DHOk9Cyq}xLcsL5>
zHSinyvbTVt*G>^MU@{jjv^XU--h8F9{3w>@OiLBSr_K&`yT1AKzw#X(b$nrRM+~da
zzh=wsXC4tWODW=|hD?3kZ8cU<o=X4S_`N0l+rX}?Rn6_~cLeC#>1y*VkJaO*ee8_I
z0`^rLalI|2zg?S*_y8eC#H|pzNkJMe_ftXL?ScP^_Fr5O4;1SnTUlFcT%GhDD;@v9
zn1p|G1lsqLlPjqmFflQipU5V!)I)xZq%)9bYLK>v(i6gjd;oiCVmL`5c!+_>Q5p^^
zOeq!@e1s<d1fl=QhO&c^%sDfcL7HC4_L~su>RXH&Cm4p3gl1Yc-%x&N<APX9S8wo*
zPVh~bX!tAdu2sli`R0?`)77-VeeZw7z&PssyCoe02}yOcu%K3%m7PJe&zBdj5#a9F
z)&8WwoqQopN<3HT)a}lR-4|yAf#4@$MK>uA68vS!{UQztsd>4<($O4DzaM=~!vKr^
zg-G?6WI$`ow#cvdSS+x?Doi@Wi7-fo9B3xazF?O}u<N~^*%gj4#W_gIsa`n6DUECe
z3RBXpA{Z5oVX<Al&OophVM)`!c}(CZ$!XTk+rO#1YM&+R8;`<7{fH}wRHF#s+PnHy
z86?c(FE_T#2(_`>v5L8LYYf!`H^nx{wH2-fpiZi_dUyXCybn0j4d<W4pc@9w6~>*N
zi$ASiPbw##*5zTrh7-cnb;BZrBWo**M`3-2#E>B;<1o|Eu^<M?^Cu^%6=T`Jr4XXh
zF1?Tz*Cj=EgX|LdTl?K+ZEX0jJJ+5rbl&~>`z6b(-Nw<{@gvsZq{;eC#nF0&&iT6k
zxAQv7)5f)gC|pN-Mo}b$CdQkPC~1~E%>%Yzr_uGjAMB^Fb!+73Wb38hj1HFF*wTMk
z#DS^J@bECJLPvqs<$!h6VT4p6y_g%au!?0ihjew5y1kORPb_PY+mt>C5RI@rx#S#a
z*K@z)EYA{hk*(D0gODT{VB5buVm8;G2j6ac^C}tUF2AGjbTR>bZRMgpC~k%%Wn|Re
z$=+n%WQx+33HP;Dp-e%ha4i;Ah&&xbiHS*%wMjq3y=yL1ZOfn;URu(vrGMjf0QYJA
zix8W5kzw7<>q=&F<t%rL;o*>8N_f_G?h(bZ!p6mOxT(yKRgBF-gt-Flbd$EYlBuKn
zpd-A@uD+XawbS4G)3mPDVl7XOWscUN(vadDyH)I%Ecus!H_=281}R8)PkQSSR)pDo
zE?y@vhe)ew+KSXSaOgT~i!t`Op5`ekYi_)YGc&X3h2pwZ56uWSyDI;%nKl2nc9#)m
z+DYeRW>&O%nowFP;g+B=kYtF<n5szddqMG)>HbvV+adIO`=*sF{wZ4#{T+Lazrn9Y
zrC0=QQI+Au-~UXTsj<$E7h;N~psm|Tss#rX--z;>WW=wAEXMVzh4c1VC9e_$hhGy_
zJ4+X;(eEQei9Zlae6{KpgM!X_kQODyxC$14&f9wi1pFzROxfHCjveLQ0*dorxic2S
zf8MdL_-c;vUm(=cN$VeF@{V)ue;#ww@mIb&{i!9dT=!Yps<PT<caBEB$}~0<{)J&b
zB4LFZI(F7J%RZUmEEg{C!O$OXc$q!YV{%F=#u7L;*k<1O6j$`GH*D8$m1K{-JPbVT
zKjj*H-<%vB;D<_J0k{gVGVc%xuLR`|hK6m`!579<aSbb$;6M!>#(8jQkcVC1Ai|!h
zYWVSH+0<`z-4Z4mg{o0rzuYmE4=nkJrWF|z^4SGNWnkWA$-+^tPWRcOUaD}M5*rCf
zDgYv2(MhdH2RFU=+2W;V3hyMIy|pH)Qu;Pw4{mGhA%;k4i_R5WaFNSK@i$0D9J=nB
zMpk=qOV3A|i_es@%G~KOonFC&ksya*9amzP9qeUb_E5lhSzs>lgMV>|5C?}c1fdbw
z_^S4E^&H|k7gjjXW_iZR3?{qGF7XW<FUBZ})6!mc-pd=&?5YZX?zOF-!<iM~T(;qr
z%|h@Z4h*BJFzU1!OaRy4^z<~q0+SLc%%*Z4_!^g}Uj%*!4q^Rj;Q}^#1spCzE+af*
z_{t?1N@`P-k`hO&4+5+uq`EZ%?07GthI$j~Rogr9ZdHkrnE5BFKWrSL&?wPxro~zR
zG&I#_4GC|w^rRGOqp3l8SN&-{TfT9@@a7|pE20goCURj^GeOa8s}ra<x5Kl%#IMH1
z#Z^eL44cJm<WfL~X;Z2}Fm*AmW`#ql!Y1H?qa|*cIzQDjkF#rDt#Wnwbd#?^pun`8
z)l+QqF-ubLY!Bo5iWxnUXIL;$%f#524YV)1=`l8SbSQ7@D|pB7U_pb!-b0YI<%o#H
zPp#~-4<Zir(gA4imsi&IA7pFTx40Hj@3ftF;PH=U&nU#g#77B_)m(>QH8Q{ID@>7p
z#;33ly{Z&V%+L(^xTqp5Q?K=XQ?45|;}=bZu$?KTN&h>oTagc7+GX94#d;&aks$z&
zWiYRMcx&ws!m55wo=8<qpojwc_rUq@0g~8#k0}S?t5?DO%*L*RWZowrhqvqW>C-2$
z$_^%w8R+WX4}r+auRhE&JHK_$#ZJJJ=(<@j;LCFd0^M^o9u8C31=K_RSpt8#=`pJU
z>XQ8z2{1Dl_4o+U&YsKL&%gfzb2Z3UFkIy8*hW7Ox@+fqh+FtT5V`$~ln6RD*d#_n
z1TbKKP}q8t;N7vSxB0n1mF<q?5hT_){!uq4Ec{#F2@U~6Hv>|UEK-NZ>h~wq)Q~M%
zyuKF=EQRU?cjkOAl(#f`%0i_Qc*x;4TnO46t6$u(jDAj~0(`P#|5F&Wfre;QMB$&I
zu;II%pOEOBGAm84?vE(he5m!f3~{LyoOsDEl#31)%gV~!9RLcV!Df=FB;hUr7J{Wb
ztXJIx^_7ewi&)2&RwIu8s^(UmI&;;rHkPh#J{D7|9LiOrJCddrLmyM}X&D}ZA+1A@
z>OrrqlQYJp(}qTb>>|!3Js@C%mW0D6N|MLq%{JONQSS&U_;t_a4avQByxw?68yv4v
z9;a!cn^)x2nVBzh)kC6ib@9r>@S#VGdy4Roq~qT|Tyx7d31a&_)7CvNH?7j$G+KUK
zhB9KnvWXs*gVhFzEM5M(8ELokzr7myHv<C_*MkqIC@qx9{kL<$->oUZ5~S>W3+NQ<
z=NQ1khL@X|@?^zkK!8xtLR<ziQ{m&H@CgWV#sR(BcS<zaui1Gs=;0{Nz_G5sLE2&6
zzR9mMU%g`XXQ7vaDq_O_(R3Ctadlf5oxv$m+>5)rTX8M!?(R_Bin|mo?(VL|U5h&{
z?ga{zV(-qMyh%u!CQQ=wo_o&O``c?>dGmuaB4_R;{l_NQ{`zZ9dKGAYSZnk3-1cC^
zHQrJ8^#ITxpUR-)#9<xv7sFW_QF*G*6s6~*6*d-{S*0AHw1em(yyE!9oF$y+kIQR{
z)#W}e*4|7xi-&cJ`%nr;ahsW=k$n`wx})bBt>B}C8GG3n3Zg#08E>EaIZU4b9|ES-
zzgb2NRK~7=m8k!4QO8Ik2v1tFN!#Sf7OBmMqm^x2`OUjgw06M~d|Q3POtRp}g?1#c
zr_H;A^STyD?#*VPXr5L5kliVxL<!8m8N-jb%*$AUMd?yWXl0v=j{jco<sP}r6!;Io
zh8Sm~z<ML7hX!*Cf=k2jYisb$@?8)R1cT-#O4}HSa^b!YC^Djfz%T159E`VEAULU!
zeE{qIt9nJ?lg`LkF$fVWybx7?nNCLqHiMUyL+C}_5+I0vbQ`ymkjS(1_^5Qfw)2At
z1e80u2vE8(9NkVW0$#=0jP)v41XlQ9S$RAyg0suW;`j6%I}ZBcNnnDaqN40-I}QQI
zGXN;R`ft<=;yqL3*=n|Vd%Em`tVO^K*mb{d2Y84eE*N0$#mNsK!U_MIPpG|W0uUDv
zcP}sztvUgGQ>iv1GZT~lk-*L)091cW1H8b|-ERP2lV{6);rUt6?EITuEjTCy{{1UN
zEedhBq}KUSDUq&^0TtrA4aY7N(C72jB+Bvr5cr+P8PD44>h3pS7+$LFs4RQ(Wds6K
z_x%>w_P5~&Fe+J}3>$@|T8=`Ji3BoEVa}@j$_L1Lqa-p!6_6`SFD->1L7-(_a*QZ(
zQU9_S{MkXzGdvMY@yybbsVQW$^Xnz?US?f~M6_VVDEv_X@woQ2%WIHT(BpK`@2Ea$
zJ%y`D;m<+RD;W&6>ZJ^w=#-B@nT_TbnMrg9>o_%9tX7XwKE5e-OI|d*#k9<8`^s8r
zST}-hE?G75<SEwC&f(^BfnmG|11BakCA@|{ghbbaRg%n?r4#o^8QjL+(>wJQ{_vs4
z$*ZoMFNmDx0f#Hb#Z$BL!-X*brqR}xepcx6&L<`&M)z#fq@j!*9t2RGeSCb1lJsjd
zf%9cNO1w5tG0h6;@7169J1I+VfA*8TO7nSiuRx-)g+Gh~uIuZd8SLRT!TC}}t9^Y;
zwWfnE*+QuuHHWt%H4-W*qYANX;n%BojO>(R-}`Dj#`!^%66ZcRCO~Ed4%+)vf-k;U
zj;YYKr(U0L@oE-ut|=)w)oiq`{u))pk_6&H%P|R{APKc7vl<VYqFke`%cw#;iCB%A
z3b9d;9+YtT6cMlUuFayVYY%7H<1uRBaXvm?rtTp-gUYH`#Zj!whm%krN-!ziB59K_
z-V85jUt`XN=(hQYgUP%3U81(3781ujQTa!ESj<|f`K8np__Eb|7hY))FkNr1SBwyh
zG3jQ3!{i4NOvk}p040I)`xGV3ds0IfKGp*qgR<{@dwY9vQbk4dRlNLiRYc<;>qLwn
z)OiH;(fQSfxp_)Y>)>`Mk-rPhy`zL2>3&=kx!Os|-}5E5^H;<Ticpmz(AqvUgK0!;
z;CxgtYkiuy&2lfPx?z-rNuZMx@8(;U8%@lHa`CRs67ZpjtOGPFh~KMvhO$wAT`rC-
zvzWEe#cbuMt3cB6M~$o;?}%1_+Ad+7U#BFc3T_P8>9Per8?6p{vKk_M)z#I<2mP@e
z7{6(9RZ;C#m#Yi4&phZtt!6LUc3yWw-e2x~f2(`@R~LAa9)JjHWbC?~5r9A$Hhs=&
z05m6|Br|w70Z?!|bzQVVrotWv?jX1*z3rQ{1pjk0h>^gl_wmpVlB|RP3?NW*2pPHB
zZV|Be0io4fE#0;ohy?-QjD-_AwgU!~y3SL2PzFH$**Y`y{QLVS#Pa>$*!e}^hC^G=
zZO#=yHWtBy0i*jv$mwrSJAo?(5GuzN0dOFY@;olftSQ-0;_rxi2lb4ez(5^Zzf4{j
z(m2NwW|_fOk`c}3E-H6{Q!#~a^i!VLi>gwFsUOU9_iUmf5pRK`7N2(TVz8np0M$5v
zrh*0o?C(`8XFY~2(S`b44({&mzzW&PjKsmgITVO!QmsUK$Hjk<@8kpheFN8EBA?!_
zMfJtqYs!3o1EfjDKz~L6GW|9==i=R9d)g3ZEIL6y$fbr1f^}P#up?B!ZJJPiz&283
zWmAwpi(brJ<d`0CrJpGamOayyh;w^YKdmN=+WYHuWv%&1!5(4UHH7eVivs-%mD=(}
zF_&6y#mZR+@^+_1F97{%Z}+P99BN-rLw4oO7Mj3}xYJIi1ddM8dtPSd0W9Yt%Y20)
zi|yfw%0-b>3B%i`uK=WO(#h+q{IATUX<V7K^5N<Njcw$ufC)2B!3nYSXPK}}h15Kv
zanzgDHTkEnlpXC8#xZZ=5-Oa)jRa>Rw!yFtceFwHGZvcfrtDc!;mQXC9djvYb`;}c
z_nM1EX>2oUTGcd-Pk9**%un=^AO{CAP6W9sozH?0hL~N;daJ`m>o-J)hG91(^n(TK
zG>bSX@z$f!ZhQSuA_bn4!pl-^+hJ!oTVH>*8acCAHaPUB%pny2MHcTv%O*sIh*sa1
zPlq*@xo{)DxS<k9$in>pp9L`D=_^iAa4{tIBo&juC9>cwgvNpnqM{_VtC_5x^+=y1
z-Lq}q$W6|mU;I`Lm5`LlMx(V_n;1vQn3!++8>ToCK}Kd7qn5rbGj-iGJ9ck~32`DA
zIU{lo{2fORJoqy~VHU{SQ&3P;{T#xF71E?L5rI9<(j9q0lh@V!>?;%w1=7vT!+8H?
z*QWA}CGU3H=NRMbp6ww^MSe!DSBm;w5SgTMWdFsj9Mi?su3Y{F#Xo(e@q*duy_|X!
zE*J&vf=THr%R5;om^o}rXw6)U9vgh4RT+zdI_wKf7doP~QNFfTVS6I}G<CGGeY*Ew
zS6u8G9#@+Qm&4#_p|HSxx&jVM*Tv;w2!jwsns@pp&=;al<u-^(VW+5#0)kL9g{uhd
z7$w_Gxw(|GfMR}r&AO+K<1|HyiRWMMTQ=TrV0lA$El6Pl5Z{TA@BKdEhtUqeScFO}
z_!r<E|KE7lcAZ#N*ZU9HwGEBX{@bSkZwav4bGt4(?Y4qMeE!gax?e7wcFI|enA3Oe
zTiXogfB!dN4UlEv%+4WG-EL<eKtMs^VQn_x9)g_#XpwdQ=}92d<JXD*xljHM(cFAT
zzlH!Ofz$Wv$?u<oZ-B4u6|&<;Z@*XtGeN)7<lJ^z4;-dCJr>6YxlUi5UIyLy6o$Zv
zmnp^i5!%aJ#guYRP_wIpcD37xmZ0_6)(Ol|+5lwdoRUxX><UNit=nOs3|(0%<P%97
zT}UY#NsBy4ihySZ3<M~u0nsyn9#F8M<SVpx>FoeAPQz5O#VAh<aokM!e6uD0;&zta
zRK`xj@Z;eHxIv!hH`;tr8TcA1>99>SIR1snW9rn_L{e{>g2r@ELW)a>yOMh3*LcY<
zotSVv6=g|LXQCrlg@w)e+$1>AZu1FRNNHJTu#xc?*jP;-yJQi7jb6XbSEu25ld)~X
zexNNo`k?P!yl?_wv3pZM#!42S=sYw`cE(>D?&w^UEaIR1fXiWYvFT01wjpJd)ziLp
z-Jn*Nqrg`>G8YDZ(>VPmrZx2ALRB_G*bn7JIip9r-z=LR^*emq{^m*0K~BM}$af7z
zAmgZk2E>hv#aQBn%IO@jz_^aupWPhXItC6nzs8)ovHIow6*?T79o8*%EG%3$e(5At
zm^5H{ho!J7%UM=#+Wv|95m4v*&m8Y^r`P|9!#cix7)MV(IpF*E`uhBq@R5QsgxqGK
zTBwad(<DSNNaAzyx6N+{c$yL}Wg9>kVkSz)Vy2UPiz;eQ+s*((M;upg0@J0+-j|sw
z2<`n-S}MGhZJ;HT`}iIx(U!Y!omHPnoCL(lM!`@Hm#ham{>YcI_jOIjk^^>teSh<d
zX1Kh#y#h<PwtC@l2JMeyq|u|q;QBE&hVa(3{BjG1;1BkbGf+BWFqf{<%+j{UGg2zW
zDV?i9JR{jGP*9>nK&e94t}BK!KPuT4FF4I?XcAnyVbMk~HdoJe;n6bLY7pphc)>yO
zpo<#IA*-Z|EwQXK0~NhY?OtWRPBq#I6oocmkbHbdr7%u$$cT&)(fv!Q*6FyFE8xsY
zH{I&>3It3EvN_R*y1k^%qvkzDXZan1XgcK3tta9Vct~zNzdM_o7pu`9^n>UmD%300
z=>e4LpNyJoJZ^~(cxDcJRHQkFMVWhUC$u2gxh!7g8ci!JD;`5&tkw|LmNsx5AZ!H3
z-(xl0eHPRc^u4jj8fC5_U{E2=S3OOxGo%9`b0X+lez((S%TN4m+dgN&Rrxm{QuO}{
zhR6oo7NGvN0!L;*Q3f#;0n9VsKv#ni$gv#-5Fae8d>0gYyLWnn1M%$m-M+p&@i@M9
z<UMs5J*FBxuCMgo1N=D~;Hzpqd+heUNB%7YRyVMgy<eVjvR427crA95g-)f)w#ohN
z6_s~aup0zpDoSnnlkaMO#@c8+<*AxxtYU56Rg=(|1^R%E1l=?e*7g0f<0?4l)}tOK
zgAIpu)Fnj~=z=etxOW-YIc)D5001`NRjoP!T%cRCt)j@3V9D-!9EDjY9at`4yT@b`
zn^ghh?-uKQw_pZK2@xS7u;WJp0=4YDnfaNYt0<W0(4rcP6DnMsA(}3HX751w7&Mo*
zbxgVg(QF(#kueRCBgx~H)tGDgNoUgAgSR@@IN%^=+s7HEx-r|4*@vZ#Kek<4!plO*
zu&0P;FVFDM&~0ZZUk>vNw9O~N@d`#Bf4h`EY8?2_X1xpxj`O{r1ZZFkITUU??=bA6
z(IRC~9Ri1SoRy(K918d)64?#aKbfb7x;7VQLx^>_gj;<i5ZHu;d$B{`zK5xv0++w>
zpQDs(E=6H2FFzA`2rI6#TqVH-5+aJV{GPTp?xxC&t@^m={dh6<$|PLb@FBfWu7hOM
z;{%Hdr??r*qA>9apx6{CIYic^lIceZD==VqX&pLkTm7}R@E;r~W_pyKv8Mf0L6y82
z^F-FJ!pWgSKTWj~0b_FHuWrl;{5l&3FF+fLO-F}Q+PZ*c#zTxcaJWeQHS93nt;7ah
zB<gdFqusBqE9s3hNtL7#M&IO)_|8tdPGy5ERT~vV6bY8x^{oHIpXxKm^SEMUO*-99
zRVs?3pn!^8qXn8W$G)3GbGK2@!O=aja){ug+Sn)~o|a!WyD@{tF`*H`rfE!%b<EZP
zu#u;yws_&*qpmv-(o#~Vcb#XQEBbEJt~JZHEsgf;x>YHr66|~{rh7G;zq5HsLsx<K
zlUpkDerN5~Q^SFS8XmfmbvIY4)8J<V9)Dc$smeOKHLq&Ez=kN(-X%2&iE{BAQ{e>C
z9@0RkEQYD~1f%Eh@w+MRAx0X-NH{NP1*vLY@t9w#c@+uof|DsLG^?`QW#K}=AQ-_7
zPJhq1wqhvswuw%)R8vY?oxb3t$!X~>XCd-hyFKVWpf+xG8s1VuLOvI|xhgedFb<X7
zeHq;;=WzXXuqZ+J9S9)Wc>zVJ&J!TBh6sY_Lt2ge@0PM!fohl*LP3i#aHqY^eGmlw
zg&@`-8XsUG_W_b@2H-eN=+u1;Awi<>Y&w?=PEtI=qY}0MEdloTOGxk{i9(v0c&e1?
zaj=8=@cXb-ZUOiW*pu%df-#6O6{yjE?&>jgcmnuue}T*N!SDd0o}k$cDaRx)2r5xk
zj!pwX-sH#Sm<FZ!5cnf|g}q!XyE63rZJZHzYGEw`7Tpk0yJaK}Ulje)H`gfSM|EX6
z0IJYg8%c=)_i@ge695tsjncr4rpUtbO6oNlGZ9#>ou1N@+m>=!fP&zXlp8{47=}zG
zml$lOd4d&)K)X>*m6|mz9T(rEn-(~8va=b}Cm|K!vbCiBL^X_Tx7x5sN%F$(<s2PN
zXC&3hf(u-%1TxN%_)#@F`FGWLS*upPXPxO^<#1v8b0;><t|_38_uvX1{iedI5q|ky
zwZ%A`vm%25*7)seO^XT<Rrx!1R#>x5WKbV0p|#a+?(yuK-{T{0mt<Y!^N)56pTVx8
zkBf}ML-{VCNc2fOkWDGrc<disi<w*n3OI;Y$EJB%Hrf6_=55E+#f6RUS$pX?iV+qV
zz-r`u*ZG0^Ai0I%PNi(+!<8pdj)ReoHbYuC#oqB_kZ~bGr(LV?DRfIPTVY9#7J4Gj
zvDS+2CnB;vm4?L+A4t;Z(;6CQICs~dlQesTg@j(d`)>hN?Lb1asb9ayxrsL}?-|5&
zphn~{76=l|&|DUY*)<t)Gzy3%9YUv$=0T(s{VEU5`Z9T+R0L^wj@H-HUEK6s{X&;P
z#vsWU{nZpbE*mEB$fuWx!Fe4gUaCPC8l9Wbcq#1$yN|(LM5<J})$0dE{#FCB@Ybnw
zgZfg;(D41Tl6(i)MPXzk#k1MEI&w8g4r<!NJ{y^p6&C3hBgL4OHa&42?;EJnlI6{z
z7S6x`Aw>EfDCz+rnS7T>3fbmw+6wJxB**Uj0-l#xVgT@ZW@>6*Hn2lw-tkIyfs;jv
zAysb4_O8RBm7R;rgT2GC!iBb>o7pr$N8Db~S7xve^NZU^hAG8M`$Ylu9MzVCOw&{=
zwhisORGYT+JZU+)P?`E6_MU0R9Ly$YM*Lr(A+*F;(X+%}b4^(CMkE7C?xZe0?v8Cl
zXSzEw+pEHb3EN_Hkg+IsE?mIpYVZ1(m4x{C+S$MHd*_=Sx14>aKi+SQc&c!O4!skH
zl)Ql=#?q`v#Qvw>Da;1znd`AZxeU_YZ5yybfOC|yZJ&iYx=>M%xt8)MJ0Ug}D1>k7
z!GM5&>oes34bcq(rL*oUpfKHaB@9{xs=NlCTON~4ZThdjZ!isS${2YjS9V--V%*eM
z<ULv5`~yF?n?k=9L=bnr+;0T_4k58$-#&5wl+AlRC;tBBJ75*ceds=Vc?6J<aXj09
ziBN8=2u8F!^hcN*g`GAu>>QLlM%BPL;h%Ruf)V@3U=nFlRY2vW(+Zkw9`M;*+eGz_
z=`D!)_6(Rl-%cEmwHNe8VuJ_7bP?Rg5x07lUY6GZ%4+k2S6=6b-oqv_Sq-g*%mVgu
zjx^ZTV_lXpIUOy+w8ugauIV}gFOK7_N1`%&XfNzw)RVgX*;2pmj(SQG0S9%8I44kV
z*U&OZg(u&iqcW>0%CrFGyO!{WlxHT2AtXsOv`9>`n-c#+jDcVE!0>FXcXN0D;|evo
zWZN=tEpyOuTwp;u6-I|%H6Gbq>w-)Rm;Uc@Y~hNB?gv=(TdB|zQzN^}gxM1xOtD-=
z)=j_hZ^kF5726h}oDQ?WK`C2ZrxPo55F?&cb|L~(5NYvkCM*KJIVcjh@cuCv*9yn}
z`m4gX(vbc>GJ)D;znJCq`%dDd*rN6Pm0f+r6DmXi6Um1x>DtQ5W>cf6JKd~(xgz~f
z-+T<NBwFE@YMFskZBWYqo?{Je*l>Wf{Mthq#)uuYoj~Kxl@tDNV9_!HiN28xbeakT
zSWu9RL?V24$4sP+om)pH8fol0BBnpZ`_Vg@TV!6GQ!e1P@=obPXu7Jdo%rA+cl8EN
z;z?69nY+Dey*O&8`T7Sd^1({Ge^y`RX4{FX$%)4+rr-?7(AXFhiaup%S>YhNp_d~c
ztt_mU#v|ZKMyHE8Wx>rxtNx0HSqq99Vpr>}G<Oiv=Nw5GC@30?(=3ITwcUg<fL}26
zT3@dM=dan<*3|G#hb$Oo$X7#)nh%+tCDoJ7xb(UmeFBL}&{;6A<h6}rimB750$sDC
z;!A(bk7$s!!f0kUQq6@54x&1?(Gj0Yff@yaYPh13$KhavSrL~lyN}yV(>L5$5O!th
zI`#-u1Q4}2s@`?#g+%I=WTb!DNLo<9iACfb`VuL`7nvWWW1il8aT^!q{lkovGoD(r
zG@xJV-Tp{~ME-~L`Ck+LmvGR+->3Ya?z!kwfeHp8G$>M=IhC54x>fLLmZ|m(n9*ns
zDUglEP3^DCELhd_sjXbPxjTg*NJajJh_p|M149liD~4SzF>IC&4k#e*N*aCNixvQF
zc(lOj4{?Rx)i`Ydq~`zdssK*4N4KW;7j|9y)Wd|5*Ldk3Fsqfd?Gj_vmx}*8?{Ufs
zkc76?tT>VW8XA&l(QR1<a^*l5tV^~Rs6j(|Q;;gT)ANXv;Dh+<nwhJstEbh~UQI~a
zN2B}dMNLAfP09DjGB?c=eILmg=01XOd(Z_g3%(EFrVp)YG$fnAA)sg<pU(8|ucHg8
zM4b|FjCOwHan|>A@^~8?8#_Hcecp9mF>(lHK$YVGpv6OY@aoCSsm6@9aXMd;aB(*V
zu~l%0;o?1_@+(hs>5$8J=o!C?e?iQROj|(C4+T+aa393JD|X=D@%1CoZ)$7=-oF5#
zyrxBXS-_OTp&yD2gME0uKDrv`T^MaN9xF91#UP$;JyAO;AO*E61wskj6ZV4GVv#2&
zHfFJg9Lvh);!LTe=;jtSn~i$&j;F|5{w-BJ*nNYT-sdt(x$d`=Be&cAiXZ(+&ul<I
zfnyEt_poV$YQ=e2RYJ>qtKi03YD&w@devlxOitCjIx@;BOioY`G(0&qvkW0xZGv0O
z8^eD5ZSwqC)h|Ke5OZ)oUO2-NI@4bt2T9`B#^u8VDrr3Hy%Fe(&dekDm+im5bfB7J
z@n^ungfYuF0(MfJTVF&<Fg_KxP_I{`H9+pN=q7k#d&+A9PDSjb!Nq-SeZ1P^)$!}=
z5B@tx*%8?f(?e*{>^h&(p_&EpRn1%w^S2zY)?3b!Kj$2I$Fj-O+Cy>6i`tt0D3#p!
z2!h&=r8Fllzo6<ti_o!{VM(Xz%Sg$-<y4GgQz;vSi(xjWYO#z&@#12Gos~+P1G&~q
z7Wh(MMrGE1-|*O4h^Hu-Vi=%~8I~$Sr;W^nj@1)Yq-CB8$wmejr->I(wu3+r#o^FM
z|JEy}6blHeef#1ro~8xT$3~4AHch4kI1&?$$OI8Y&B$b2_73R$8?|{kIsT3w{5N+H
zd&T#_Hz3JXudOaeC2Ok7lxC^=zP&;8sApFyEh<udEL06^jkqq$vv{^4NEb$RB68$(
zun2nz+5UYn`=Q-oC($ouX8s}@JOO0Cv^aiQjqE_NW%l$)W}B&ffA5G9+3Me`kL0~W
z?2!VJ2)C+{ib^s`b|9H#^Mwkc(ag-uaV>ob_soAE^#q}*X=rAPPkyNSVpLiL^oDOH
zI-I=rN%X3H&(=6QNX%N>dA)CAc}pCOcn>%;S$5hFfR>Z4-N@?j$yx2$w$~o8@p<ii
z@Z7uxbi6MRPac3BH8SW0i}3KkgCbBrbp9>z+bdoF%T$}fz`FY$D11TOm>qYor-0A|
z;`fy|yh)D37RdQ@qz9NZA(&*~NG&f{(bjX}uwoSWLUl&c+D@*&lBx=)uFlO=nY^4?
z7c)_6p@!&EPU=w;^A3doN({;fx7b6^uY^LAV+tWpJEd)?@op;jkL?Z?GEeUHNOzQh
zz-L7T1t9ox`1`b=cjY8Zh*f)@t9eY>Yu_SK$`3(wfM4`D^UJ^@3Q|(+yTTzg!ygB#
zy0Q+PyV-|hlwTE^6d1xL+B3@xWXO(TDVenERY}f>En<Q11m4Af%kwv^V=Ui%j#boe
zHc{Ll@ogz6P^?{$3K<hQYkF5<UtCd<n9+T=zRHy=(e09LD%%L3k)ECaJ_$5zkUBb-
z>zL~vau2ZMXZZ{qWIJ8tI;(l9h7+QLgRT6WgR-Zu9b)diu8x~l*2kBu?+2F7$h{G?
z4_maQKj?EYI!)U3leTTLGQ}MwQrhrAvR@g$j*Ze(`*1{rt6KmLvDTMeNDG)0A=mPy
zxMg`XJ{rZw>~RK;&5RLT4<gXnxPz9jZ2?J0$kEkswSBHpbt|gpJQt|gV9?5;G|`0y
zi7&=;#!{%9!>ba4Q`k{Kp<}JfZot-BJ-(0wBgkfy(tb*+H{5_|yWiXDXNxHox~-0d
zD}8t4o-dWN_!9xh<TJJepy?iA^=<d~vOJ2b)M(=35TR^hm`|CRBef<-;NX!$1%tt$
zJ$8ffFESOBvUtD|zq{mlXee~~-%!-A^?`<O^Jb+T^wdg`Rb`C}y(fix>_6RUwJ{bl
zC5;|pxcl+`9KVVc)SHdQZw^``QZ~gl3{`Z{v$=17l?lQ@4~1{cSUUQ}YpAb3)o8Ck
z`%swcKxDERHOqy1Cne>#BjRzY-ugSFQikS*mW72Uv})anQOGClxU#C&$Ffpa0w~u<
z44U+Q(U8M8Yh;{MTyyOZ1Q@=;!o-sE*L$M|TQr9$VLuZO(!b&nTlrHk>}p}2Jx-0G
zL|;lY7egT(cRF$ztRB*geK50)q~-IB^jp?dKZr~xy>y-;$Fh3S-5I;MtS{OMr?0O#
z8yy*8CgvuOPe@=nfiBBRxcmc8Y&&Lgi^$m!$_q!4Mg6cj?mHg({2Z$H<yORT;^1a~
zf1iE+#<eWzj`E$DOdJ$Ups)YYOwOzZ{#f11dfk6L9>5bs;{Rv<tnT}(E9&E7nQ)8j
z=q11qrUY#Qi&%-|{rBq;LXnpfB^DMIqu1YtfIrj!?;r^TQ0liomK4|e4*(JmLL>^0
zsOf>NOw5PxkpJ#H=IqEWsLMUJ0cIjdooiTN(Y6IBP_;m0*dn)?v(G@*#PVBd+t%le
zz~|9GLC>NWd@4n?nighD*tR~*_%yOcF$~(Q=A1M$1M%e`IH&}_2=n<A6oO%O5`iz-
zg>>(S`}({e9I|+x{PaL2!7FRTSNMd4Svfg?j0N~ad2G%xj96M{+WFg9<auV9c2K49
zA;RgKaVN)t&+%IJil41%?dR1cb0V^JwtqTMXP`l$t8josgR|Z26v-I)q1!^LK*~uP
zY1aTQ9uK*4$+kq54kzZn01`6`3yle7$Dmvv9xx3hv_xf-B+gfphICL&MDXV4lGK5A
z&^tBN>Du8p&9&m*we`;waQL~+q$j%tHM6wq%JBh?k?Sk1?G-Cz>Wyix3(I}&JzGp#
z)6hr@1Gh1*_zrE_T=WgKOy7GKr;$~ldJieE<oIAoc9a@_E1e!b_(otbjD1G%OH<b-
zPL?)P!7{pAq5n~jGC~;Ra3;ozFPSNqZOhTq#bqAvYs@%w(5k@EQ$Q^TR=CMF`OL%1
z-8)pW&{cu5_ayovQD{(d2S1(r78cRi%|s*TZY{o-eTb-D%60M;3dtZN#ES0E7wK8H
zPqW*Si{p)nw#XdXw6=_M?ct@>o#~h#&_+ol=K%Gl=&@xowR)xPSGhqGF>}I@corHK
zEF(k(Gl}6c|J~~x5lGdHZf$EqOYpJmSzWX8Y1<LO*BYP%B2($HD+lzKbV#ay*i&TS
z#t)YTz$4We1$$p?Ed#7eHiQl(1f9n)B&6K6oLSooR4dGNO1+Y*Jr=m~x_j~XhVKPx
zT{7dx)rKfk=o-&)qfsKn&2yx#oHu`#F(0c-FK4EhbSYnnst$uQ8S@ZOoIxK4^d`-*
zBzw$uWGA}zS|p`?in#BY8-Mzz0S-#w{~2I2VcIVHi#0`4DDtAice#5T9I#N!CIbm|
z)Clp0&y?RiOk8k>F32aLaxKzo$eL;DfX5DyqR;Vi(m5p0vu9;Y%;+|X?&eeHQ(kcO
z7{F<pdMgQlS0d2}w<n&1UCvjzh()<(Mq-GA;BmX*bn3|PE_T`Qej*Yje4;<(QT)7|
zsr{})v`YH(6){O*rFjo<rl*bWbbj&MQ|@aX{WCXFTm7iwG=%Hzlppt0<{nl5jPo`a
z8y5%ragLU2fOT;hDv0KbZ41A!@GH@~S0msu3vm`*^*n4tEV=;sH}DbIWqthNL|pgB
zjsS}R1VLWsJ#EKL4E#kBV7lERdHXwhdvw78oS}`LhmAmeB(Fb7YOjErSN9Qaz)xJm
zr}dRuPk$iJ_6oc+U_p?6GfSWsgkt&(;e$ie29O^h>Lv1aNDQcP6rFr9L7Tvl+k5XH
z@OY*_QGO8i`<u1%ObzmT-Xr;5eAk=A({rK-Xe9tT`4uERqF9^Glnd@?+wjuSRA|Bg
z<<GA(b0qO`eAbF#k!Iw~N1vZ}9A1o8Urr3;b?&Rl=qwXb#k%>J=ef~sF-I!{O)sla
z-oE71vkk<=YBXsa2y5fYeo^A=J2Q~u)ZV008&TKeQrebNtjD@Y^O;$?B2#M?QR|kk
zt2l7Xw8IN?MB*1(B6m33ORiL%9HYS@a)mca$F6^F5nG~-|FX~@3=JQO))6gLE2YP)
zk#R-5te;6rK~C;GUKQ@K;<emFIJ_S@f4x1=fT29SbY<7_O_d&bFlu|qnRii_p=2hT
z4@jJx-uaZMjt9aN(E=bSg*1yvAF@52N{mu%zN+ZC`QS=QkCLWny|~FN58j}lGAJ0q
zEL0*w#4pB0Q?YC#x=+V9@1r|`s$=x<)QxC55;xi|Li!0vXTW>^w}QTqkFmVjeP9w$
zO{}jsj{m@PS}l==NjG#kKl(J*yJLG`QQKj{azE2iE5N~l3G*@cfz8|$S^bMWZK&&J
zE}65wG?i4RW~3Mf;i%#ScHNFz{JtEl)O-E97Ke4$%ZDz0SvmHb<W+<MK_w$?Qr(f%
zBg7n7dK-#%(W)QVzDL}Mq)xyIeipRzAb<(qY4>KZe-wjaU}<%*OSG6y(acI`aH(5C
z&eI@xD`hL|w76lvK;Bo3ti*|W7d<Rb@Y@9M-Ph2WvFNU{LOo>rOKeff5Wo4g9JV^z
z^JsdX>xpuik(}Gg^0fNQM~0&S=WZ@Fl}RdB%C_7yg;mXd$`6`K77n!0Hl@(-+N@~g
zFa$L%#^?o^yiY2M*<*o$Us#YyINf@X1=+u&{apN}W1s~Pl_bu#-OwVVN!=KRjxXJF
z<@tkgatN{f($yEXmZg`R{Pf{z)z5xlWAg$TB$ZQ~`e=ejU{*^Tw07~C#P^(SE%QOW
zP0T>d(nC`=U9C(Zpl52Sn54$i(CuIs-wxQ@*0&6=>X}=}i<~VLa+0{=KzqC>!hC(v
z#CZ%@@2qqaM6QW3;q_OTQst_us$lPjN)A2-gscCO3$chTVAR%Yk<(amg)-b&(=_f}
z71^?e8OZ=b=klG(KobfnOl;C+fDs8?-O{>&a<PAJYQ&%AG^~3#I26oatKBu65CR;7
z>{gh`C-it<G6?Rr+-8Md0)SA+)!PzqHcv`Q0^*v4X24_lHN6EQ$IiNc10r31Km_#p
zW#{b$Xg8&&rOjlA8la>6KMTMI4T1n%zq8@J0(sE4wY(SnBR@cK0Hj5G46nwLD0I&N
zUi#ZS$;&)8$`#}l;@EjoDoyNd4h)0>RdLe7QDWaI-LAm5*Z-uV%UW+uGY7(|Mt=uz
zLB@cPR4uEw?AQH<(|4dYhl_&)$+v6*q10KwAUzPC84$%(brH%-Q%xPoh|P2Wr{P^A
zr%IkB4o0G{G8<K8CaDPh)X59tv?cwmxVw>GJ37NpgU4zDD}LDN*kcG7utb&xz7Q7<
z5Fu#>eHC5AP=ulE>y{S;v-UB!(wN}jVZ948%Jw272hMl^S!P&+84m=4kMpsHgX-30
zCpatLtENjsEr*Ar^o0N9Nxk7w?OWWd4(Y@GO9g}hnVI+!*;hn31=Y5rv(YIZhikM~
z%59rf=-?57tXHlMyDIb71z^7OAsz#RO)O@$UudwywWAw=^4ndUER-cw3t4t6C{@ya
zsMP*A<aO?~%o2LwT3}joanqvMcrQUI{+<iz%kF4O`wZW#Kp@bNV{;zcM_lBbX+<#s
zN<`nFLB8~Exknek#cUG)?Ym@}1&}=Zw>qE6iF*FX<pa)7p|(OP8T?tVnyHA1SPTxA
zCV7u9l2i&5MuGbNM>Kc*tcMsFV_zZY;ttZh2dPmNyUdYDJk2UyXH7;oGd$&i$GO{x
z5_;&H<j5Z>@Be-JW=$5VI@Ix#D5@Gw%&Nq(OoZK*aX6Nt@JkBtKs+McV(5?!X=-&a
zwYIAQZ)AXbZe^%*?9tL1t&Gt{Q@*||j3nh|mB}DM7tf$nP)Fn(64a5nK@HI(HY!II
z1mi_{RaEN{4~t?&$;m5FX(yIr<B(k{e52B8&(3>a%2v!Ke0;`whH7WA(=x)Uvn%Cn
zP-H&zxoC_}@415<<^F6Cnj$f-dejSl0HLOJ_GQ=otx~Lj^|$4pU2_BEFfHT;ZW7!u
zMW!_vi*ROasn5J27ndM()vUB^=lpuydA{oN+phM4JUdfZkPO`*E0*!?)ME@C>lTIF
z!k-(VJ>ZGI9wkYy3DMZdEP!Q~(yL<nBBfY@lNl~jfXJ6Tso;5Ft-GpeF;ecuc~&Rd
zFgOZt81)rQit=eRb8K@yZ>MX;W6QB8x722vs7;?4sFZG+e?eI(N%>NK;Swk6)!Pm{
z@;{`&O*pz@nq^ywNe<k^4)Y$7Ub0RC<njM~MqIKj@X1>@F1DY46ryhoi|Wf9()1lH
zUJ**mbsWUKApRURXaa~lko_JaC4p4GAiF)VB8&BzXQ!sR54q~RA>pvwX&$HbH=s5B
zf@Jvn3y?QC`x!y<Y2goq=LXn=0(ss?)!oh~1pEO=R7T%{2q`eleYrpW73lRk5266S
zcINc`<(|O<d3tK<8Dbrv5x$Os<i3FxD#&@aFZjRQxA&}XtDnMbE--UJ67bgq)P9hr
z$Gi|n84CFWBq<IFhtB%B>j48!Xr@XQmooPf!VXxHQ@?wUQN2Z!lC6dqGnkF^_L!g#
z!{+6&<>9(lc4H7nP<fdjvDIq6C2gGq$i_>*nw!`<IsytHyP9i``p9=Lj50d5bI!(a
zapA~dd@?9#(oaMnbT%_OYgYqLAe9!GK^e8&$wzy8<2~L?8$Ix|K3g+YcEgluBykRk
z1|;J^9&6o*y@S=cbqTcmMj|SK-Q=UPgC=klY};@!XOObg;hQ&Xt;l+(1dFwsX;aQk
z5C^Ey9$$Zskx&ZGv~&sH97RMt^e+JmGW(XoE+JE_R1Oh@B{|NPYw@}7>D^bd29xC-
zgLQ@!>zdkQQ5~Ku=vgmHFY3e7m8q#I!6K!n#za-Xu?dW%SG=k-YwbPt9(n7e0W7`V
zO4{^EJ=yuU7yt%q|0-i(b++vL2`_xOWy#(3T{V-=g)S1vBj+x3fmirD>CoopCXf^(
zh_lHMA$QlrzjsJxE#hD<bWO&RpE@4MPsk-nuM(r%lRLwWmhv@6v63z2s1uFko{Y|E
zDObmjjgMnwg2DhvfpvfWIW4l=unceUari9Vpt{!KMuX18!qT>JahD4lzXu#nYY6Wl
zq49)JH=u9kKeN8T0ADpw;Y^i?)lmDH$=Kg#7Ley|gFJYNa{1iCg@#!;=e-?bVvHuf
z7kDH|(8AepQ6%NB;B3HH07-;do)`8z0bcToy>E$ZfqRr$r8Zo)s0SK!*OkguLGtYm
z%emsAL1$=!b`JfhYLofOJK6=@c*yo?Q3^NpY!*+@6yH8sFsbx0A<E<+ick40F-}Ie
z2G;B_-!Qgjb6~~81~uw%D4;sjl;u?N=H-flYNkS>pi5LMwj7-}gIId0wEld=Gn>g3
zs`6o=QubZdp{#2D#ZOll*N|wFiC~q8AsIEus7xfVkxWZKp3pcJw|tKzV7$c4z;KBE
z5&R=Iyx_iT>k=q>tTe@}B&lM|E1Rf{N(|vmQb{uX>>C4PVc#etX8ua4C#H`v5z(PI
zi5o9wY}}g;QEac(tP)a`&A)nj{8FY&TYPdGA?sS~Qa+SwK7vMwmx+E;LHHSn7in-l
za12AF-HH`AN`nvwX?oAOg;J9^v;G6cteXq&Lrfb;v_icTh@Ao*u$eNE4WL|2)fNbt
zKmN@{2>+pgzik>nAo!gibdLw>1~%UAXSMIUuq;7k%A}jWqQ~xPy~y2V(G!=~b<Z+`
z@Nzsp$s`NECrU<)p}@oVk&*i&Bh0>iLX(_Z!Wbsy<GOnq*m+7Jel<$2fS-p)t8OJd
zJssHkRF`z~<#f5CWS@D>#p4JNg>KXoV0e)eL3qwEDVnZmefipqhxY|X-nmCnxxd{%
z`o06{uhf)Ro<B*Xhz=!E363wVQ?*CN&bccJAP>?;b5Dn<PHg^DTyO_cui9^s9_Q3&
z1`^2@o44Io#(j1*fI%c_X0K|dalRDS<Msku=fe%zosEcLOe9S47c5Z5&&IR&>Vc%4
zFJf9vvC=c;906&clKUO}I)AChdqM_3>{-rT{jBWm&jb5hYt`vzYv`|VW|>UzphQ(f
zDyXWLb?v63YzIHK2@~wSSzQ_A?sqmeUbWm`=-=+wR5mhq8ZmZl{5=S}dXi!_8woO&
zV5LBiisjG10Dt@wL?#{%6A0>$1iMQ}4~ByMrekVasnQu!i&Zr&G!9<$9~^o@C^RN-
zN-Wy4TDKmNP}FsFXgmQ)%)Oyq-JPJISApkJOR0pWu0Y;w&w~jb`BBJ${!xeZX?|_7
zTYxL~c30)XC)L!C24GPHwCcmEt;vl}VqG=o>#wv-ojvA!4>OXFmB;rt)hiORPCnt=
zODaExY*LFSe^Mvx0c1J5m0BG;5<#yy&bY1bB;K>*dL#7a(rs73Y2j?8u8!m54r67d
zEmaqunF*ey&ixXBb=@P8PY*G<@SdOJh2OI&BBzfYoyWmMY7EN$5w*$df(WkS7vZAJ
z4wP9zQLS&OO4&!4pQHG4RE3+R^)9m?N5+$2OS6N$e#<dsv}gvQ%v;Y&skB6P-C__$
zGX;J#ro(gVixa=VH#;{CcW4XL;fhj^aO<I(_#mql@+|89N%7Yn<b_;fRW<sSDeG@r
zNHcw_$PJfL&I(J+`B<5a%YGURoWZX%FVzi!rnp6B$`7yQiMzlXgEqpuy6<^>S<|PT
zn#R7(q)zBMS;!_b7#9tl{n?jmd&JBUi2}PWP5gsDJC3R5)-21=zm4TN_S-O6><0DB
z_7-JURRSL+X2I%~m|?LM#@bm*n@D(FyQ468^V-Y_!<o(`gPFgUA!}Sd&o?ie#*S*s
zG<#jQ^T%rbO-2PwPQ(eLnD;Zk!VC@0klVVtx@xm^n+~;tS5S7Xn(#sA=jYw81$u~=
z_wQGp1!d?2a!_Y7wP8v(wC&{e{upbkjt9|^Kovs6!wmHWpZ&F;DV68`3JgVQR0Fo0
zT}rv!BFV7+I6|Jo+ee@?qykU|N^QL09Vp>g&8cQqoBMT>&;KeEvakMI!=OmPf<c23
zK9}lAuZsXC+)HilaUbRi<6=`(Wm8qlN(s;f`D4;B(?22BVQGEB*IF&L5pI#Fr$YEr
zQ^Q2Qp11AR&@e#??;e|;%u~1&_lDsjSp}avXlhGC*{wy4mgwwQcAN?05%}-5WS8E>
zDVw_`O7o;UcRIv|cxEG=;u2-SqYZ)W1SW?!KCtQO4M03rR)Rq2dMbUKihy1v0R6JX
zt{1(T(Bfu~P<mMxq%5(UZN#XL(J#MoYhacB^bi9;TjT}3yyAj2e@LR&$zKxDu+;1b
z3;X%Jd|o4oMHRLkSaomg!~bZA4i^1&UTb3+JIgIS?@IQ~^6alQA0DTPU#ssh1%`OP
zw|R{b6Opps_&soldA{tb@YM3~F9_Hn6?pv}@*LL&9Kn`xu6MAiTa@yI4Qe#+|8@vQ
zte&ur02dhmn#GTPD<TeTi0=F`!-eastRpgXUn#w*b_gVs&`d2vEHOU!cf=Y0xu@~;
z0q1%)C3yV!*;zFD;bx{tDr`G`$>XMMYKdz@mmj-Ao$gHzbd`MzLY+frcU>7gFgvgH
z3)Juci9*lPy^{zx0rGjw%o&}v1=*zo+Gxm;6kyT5%^a`orGM%xgnDhBo}NIUg4z&&
zR>O^0`GeSAP&!^+5Yv#MQI6ecE?3l@H39?6iKHPkdJ|(7Y4(Y;UTR(UL5T*+HEpyZ
zM^Ihm>F#b{>=hfSYfA$hsORBg<WEvJ-1glj<t+!bdc+clRG%z^Z{c5thqMC7kMY_k
zS}(Mkg#bwzYnTE2Y|ictSS^)vtTS^udL~~hs+D@k4rQP6)3S2MlY};FM6#o6Qt^cM
zSJ<^bE^3{74+chLVMeY~4V}#e6iFAU=%m%4XcLWo&zCymvRn2;@!oQJa_xW#Vrkx5
z;r<Dr-B{SFx$5fM+O#y5;Ey~z4p9A$&A{aOtR4m<^_Ci@{0LLQce|<Ykr%kC5M)(I
zb4>ft`$CRr1-(XA0kizx4H;R1NlT4`g{zT=D#=ZI)`MD>%^bnEf)9#Ayv1W7@T4&6
zSd_h((bfP5{6MprQ?X9JV*qvS<>aYQ83ya)C|{#B^gAxDigA#r3oKE0<4|7KM$7e-
z6~L%lZ+(7w6jA}O4LhgXNguo)Zw}H+whZ$c8A%vLvYRRrn68f+-ht8Kn>n3IE2bIS
z;v6)qmMV2Fmk=MwgFm%ha+s%O5!j9-1u2wy^R5Llcx~uDIkzaq5^1{<3pGmB!!k_X
z98PB$)y@P?^W+@)ERMnS?BkvH7){|PnPhu(4IHPx702DT0Q=NQ4tX8eO9uwD`bvTD
zO_!kND;9oCn%jqP@08!%bRZCDqtlT;2dV&ZZ~H_xn<c`ktZLi1wc*5kj!tXv)<rk<
zDcwo^1x!v1FuOl|@MZ@6mPIR@L9ND-06$K8+*!Z9V(n}KOwbrQzn6yPfIsun!~Go+
z4P=c$veLaoJo0%Wx7)f;{7=4iy%>0AHI}DVLO%y6&*x9Nv<8>LUh%=X->glcW**D9
z>meY70=<#D6Kvjh1#m$VRc5QXUiT9ExH+GaDHZIDn7-~mPLKK;rCI2t>DozuJh3Qw
zR4NyE_ov3V_4hnhq1ac;V9TfijRV+PO&21DlH9Baj=ZKRido@WF`ksWil`ew_#nYq
z!cqQzYaU+NbGOHfU=d3JHKZd~X$p@1<${!p``6_W0MKLWlnMy8nsPipCF~r?5H^nB
zruoX_5}l&PZUfv<&lcSeL`3RV@IP!m0v-C+`=HP-k(}k&SMaUtj>Oo7E4|TFr9uf|
zGx@q+eiL<@1usWw_G6><-ZQOUo4~-=_21g3zpTy6($doBe=harT`dP;cYO3^59Gia
zijAg-;;|iFg(L`hMr@O8#~iCd$-Zo&M`1t6LS~x+pBVAX&J2HX*#&TUZ-IKbW}n6U
zxh}qnSOt1apHY+mrZ`Q!aNt?0q<6ZMdnc%R*r^uam<a}bGTpfJ@M}8?N8-k&bZh-H
z1vC*1p@OX9#IuxrqG^uq*iiF1!|E#RA|@;Oc#cLg`au%3r#5OErFQVU;14r8RWne?
zUZYmftA2KWx2m-2dfCSu+XzRmo!Nn@wh_FM)hGdP{W@}D5guLfo2jJVK|w(U3Bmod
zQ}_V$5*SsQw_p5ME=#w->0pQTeRJF%DXZr<?)(!hWj9ZJ<U}K<F^)Zs8o{Giu-cVD
z6pEKJmiZzkrFMjjw<%}V^ruY@LcFg_&ezzoggP)JGs0*I!$AJB;ZpVqn=*b6zc2ZA
zI^AbCFa0|?j_f<o&(V#&EqN`EF3fH2epiXQlm$gSIQr}skRifJwKOOFIXaycxZ!1R
zvNNEKhc+Y;O*4cHBVV<^Eo9upiBB3d9cF<H8ri#c?ZA3Z0waZ#A07keJb!U{O79X6
z?NMWhQKMM}1f4{je=I)>5|NPL!XMEgc`p6_C3kw$ZdX(${nhMhf%C=HdzR}vg04j)
ze)p}hACD=w`HZ(Nfuo@MS}K_tATdu?B{xNbvH3<{f@cQQ_Eaa(stSZF@xho-J)o|i
zpJL(R$;;H~4zlftvNDXtZH_km8nQJPjZMA2TjnH}MP=F;h`786s&6=RTSo`*38e7o
zW9g;ltUQ+ctl!@>FEo!F!+4UNI*lDnUWpZ2iPqEr=*9}8^Y${tr-}?g__i}tnr@Lh
z#PFPtccENF=&X+|g|yWz4xk;!VG%H|aKOWq1RDo}vUhFN-hEwMYpZYz@lWjaWly}F
z3&fk!>!7e>wumqK;vf)18v4i4X+|Va5Xg$#J#?MJoq5DBdX3IeHxa!ms(xe++H|pt
zsM>bc<j+0B7A*j${j|N2Y(cFMah4e~qwT3d70N}UXF4(;IQm8swjLd1-(r#w|5&2y
z&N3P1NA|I7<=)9|x%!d3`plu1O@<E8RvT(8ot)62f6$01h>2Y(VZee7Mv8C@ML<~!
z$_2MsW5XWfgLF8t8M5oU4&{a?!j}kadw+rI=iJ1MbKjp!p;iG5HVd8cNsH#)@P{*$
zKa8O=O>pQ?(Y(LqPfwkBpVg_f=??Di@57QSmwosQwVh7e{R|`CgFq5<c5pxB$%f9(
zKgrVpz|P)6OvIUvp)w2+|57Z{9Jeqg@-#!H9R$DKzU6K|QV~{bJY$*p(yb4j)31KY
z?~!iubM7aywnyDG5U3sI*lPf=@ZW6z46Yr`e=o0VIc=p6+e+DSM)oz%Gi+zM(A=t2
z`ymPNzxgmhiKR9=X{h+!^|6-OUt3_T@es%vV8{`Is6WM`;n8Gyyt>NSjYy8_Y@cKZ
zB9$IBEXnrDOlAwfgNU!IH)tdz>@RzE#<i}m7Yx<h$VVR;&t}ncEw-vW@Dtw)uDv`>
zA0ED~dh6XDIL}NUxxv}%-Lo)<b=IaU_7;|gb_R3;V%(zn<9~N&MycZm-}1i7r!$w>
z@M~87@X^)K&<M_zJ6t{W>gEr#PTWr*nt(HB@~J5deh{w8)t}5x+R!~~%!UdAA8N0*
z(ZJ4{3Y^X47N{X9ymz%S>+=aHe~NcIuzR1aw$Km<gZp<~3-HIrY7rioFh`6%=IXlS
z!|vd5)VdP~rO<1OsoyH1KeU>sy53&%1jEE~Xkx)035LGQVH;yER0HuIrX!C9xMdLZ
zY$U*pu3w)#2Byc0G~X}R=sBE!vskOqYy0%WeJ#x&3M5K2S~Oq2aMC^VXm7zAQHXOq
ziVbVc6fN#?+qkW@YxgS-Hy1Rv!q_MXbz^P!iTP*jW9fDFc+EG@YAo1fn#G}DnPic2
z{thkDTdi+XdPO_Ei-7tPTIIcjzb;d^&S!6-`<JHO^-Ng~*IdR15IS@-*T3NEKz@6|
zzT*oISBGhq$XV4Wz1!)77}(#y5ZBxFKivKz>4e_DUdzwOfR)_!Ku$wL`mjRH(wawE
z{8Gz+XHlE!(X{_?hF=m)QQDw_CZh~nE9fJ^U7rQRip#NK9Y4SzKcTdGQocUv$Fdy7
zHDZTmc+qDef%PE`4$+Pm;G&VC|5(i3I&3qtYVI+d%~=CG8pq3X)p?!F%hvIC60Wx=
z3?faQy~(DiB4lLP<4*|&RGXrJdA?ob;^)S&k)i*EV-Sn>YqY8rLLr7q68EHzr;^od
z`jq54iEqW+oL8A-M{#Q$@OFztx8kR#BIn@bMB@GC{uVI1HnjFR<|%t}{p;~(X^q#L
zTLyDAvI9aVRJf2~Qx($XnnSVm`51575-@3D_O%qfqXL<E?%mDSWKO3buIm6S`(YHL
zSsJO&Syz$c17&o1?c#!4vlJ%j9<fQ1`E6W{r4@^S&<TH*rlf;|@1yGxx8>1P7h=CR
z&6XWK)E8XuP%a}YUHIrwSfad@r)teAwXQM$X(ky_^G&<1vC+3Tcc0tCY0WarX%<`w
zdzwg~mJLiH*9zl@NuF3-nwRl^it$WOtlejIS!fnUH`gbg8fv|jJh9wz<cTK#An9Qc
zvRq(TJg{H??a^^1*Re1#I?Jm1p<NrxnJMgch{flS6Qn2+YELi4H4-c6WO=mOa9U|0
zH`F7<^&T(I!z=z})1kUjC)IzHf#vk}3a+WQ+{hcL0~2O(J)hJRhdrpjGCO<<c8V<@
zyVML1&a&a>C-cSeVyK{uwO;Go%$YyGzsG;wA5i8-9t1A%d`Ij56iXIyZ7&RKG+BEE
zBI)6r3GN*D4#b$x^HE<{`f}K{w5q#IdlHX!@hN8Y@gKh+j`QI{VX>hW+xKI25me`L
z(}@q*Qp@^^N`l*;$G@K698BUemDH?1Pp-Wq$JoVNMCWF^%|?ob%Pn4BKa*o6VL!{H
z{-T-VSzQ#Sp*nHLZ!-Ojt8N?@X&0Doe*25d8P8Ssp4_n0eH^bzq)S@VzXN^A21R3d
zf-j3+6`MtXdZRTxe*Y_+of2^{SoF{*>Vk1~ip^}?84J|cY_0D`i|X^az2-qII@2Nz
zKXQz^^Ac+a0n|rEj^ShJ%^J6Xe`dvwhwNy->BH+gw<m6|jhmak``O|>-|gmmxRCU!
z`R)e|jTYiX6|9#prs1RrkxyhB^(C1Sd#yn52=Dr0sbr`a)5V86q3oAntE?Vx{Yh(A
z@8~zZh|?f+_)yGy#wMX$21>!!h#`?4j~f4HE~S-kP9%VoBhqWY`*PFoE#Qf?$7L|p
z!a0B&yV5R>vJrs~SB-i2LI7~i*Cbt;TV4GOdCD5mwi5#BRH5ahEab@7e)YJu=x93n
z!KkQ4C^<S3*`!vF(^Dj`HNe{Kf1+BpVDruLb<2}lwX!p9#A`^3j)~In`x+8dMy`|Y
z7AqVG_1b%0Sk#Fv%cAFt%X?)GX2%^JJGOuqn>z_g-vDW*$(t!=BqR86r(@a{_R$dr
zd&X&pJ2Vpdl4asxBg|N~uj7;%+g<2P$k%R!VN2sE5A!L%=+3MT?N^A9pNspN(+uK*
z>%(eh(jxyG-|nm}(J85>wu`h)DB(VeJ<Vyqw~k+IsrDm!GF21Nu*T*>U)&a7R>&*o
zIW&#&)tk@`lO6fS@RQt_7$jA>uI_QU4}BbF0+ikTKbr$BsQb`S{^0qI{}FZ8QEhcm
z77tonO3~s_ytotGy+Cm-?(S|aZpGc*3KVyDFYfLdC{S!3-<nyIzeC7+dGFqH&)NI8
zao2Z5h5+TYe@jLK!J|<}SjUnhHR0)~>UQX_^6SDgCLH90)zJv3iH8&1FpOz$0l)=2
zkOF}?UCzKnq%8g1<0fu$L?WjlEoHfe=74P`4E|Ew@YNQZt+(mD4)X-aV3-v#!Jds}
zX$DQjXF30<i0@WxfQ<y*<u^Z%?*-!Ycskb#CK4ID|1GKh&2W7We^x940}`1#lN{er
zrjxkR{Zm^`&W)q(9CYCKL{x_c$i!T^`hv#{a4c=3I(h%kj?yAcuhlim$+psm`H}g1
z^be{7`X3rKtRab{>rNkm`ePiKR7?m~jtrSr>oV0e%88Lwq?e$C!;XPXmSd-j^NABO
z7I<4@x|Y2EUg1n4qi(`WQLNJK-z1^g$1bqO>V;S)=aL-p5EjDg{J;vXw$S`CurvX@
z-EUr_cq@yG=HjOv%XPSeS94ppA&__4-rAMWpFbl1z>1+cT8V;7&kT!C%`mU{L>JL8
zP-Z%3;zI#x?{kw$VlzgI67MDGm|gK%1~=>q+}2}YbmX}ArP<*F^TLIb@dJn__wRYS
z!e!oJfY>~<3}6X~LAxLAfShAHTU*OYMFoYCI+cZwyL6#t%Ka8iTHM$P(w4PV&J78|
zSg_-N8F>%(+4d^vkU_PYljB9io6>3PZ*$Yz6M(gIAPj(cD{WB2Loxv?%3IV8%(j?J
zY0HY$zSDW7TNSqQwuute(O8o><tL+R&CZtnWT}s@8lF`@61nz9R0DRB%cE~1{X+vt
z*NbV)?}rQAuXm+8H}qFVeTd8tI^>u7R{1O5mza9ppy>LHR3UDxPF=`ag2)0^HA)MF
zVQ-2o(&lMnL%H#<;jL#wzpx1IehRcYhLHU+nv=YyfEa_=UJT2&5fE%A2|u)HM^x<K
zq_Z~VB{3;Bq0sEKFr};F0nAGQ3SJ%$#rVZo7yl%Xx>~fnjtAfd@7%D97?!1O$QP1X
z5{qLQ@T#^5S}H@9KkB2eBZHAi&B9Vuz1_Q61Q4v(yJ0Nw18z`4=JG}BgXdr7z33$S
zSWrsR$V5J~%C^Zce$S}0)V$2JZAS`jaUaB%Fe0pRcSodBq}%w#{X1eTlLK(@;u~qE
zAx+Z+Nm5@#&E5c)7la|Mg!t>a+yD7Dr!az&0ds(P&yOrp!z41JNE1!YtuRjAbnEOn
zcnN?&`;!vD3s$GVRcO|kjvrjMKs{|duWdYw4A$&N%p5tddqbS$xRw7;3o!oRon^AL
zwY60tkSxdfRr@#2SPj@Z=jid<{=XVUm~fN@p<qHD$594e_+Wx#Wt?DQ5XKk(3gft)
zV`Uc`P4>lSi#6+3u61^KWjDs|!>6aVsuQ5;Jf1y=-`d!?ps<LJBZ&Id*5#tl0Z8UH
zp)GW(Vi*N-Yk_`>$n^*&WX#Dr<<1V6jsQGS?|RuWy=pf{N0C*py_SlQm;Tc;C`2cn
zxeDXUHj}P^*^0lE)P`+FRn|?FEE=%8U8!b7ac8HeVvs}MXDnR55l%iUZcv5lp<n-2
z26{+u1W9@k%K(tGUdS+7wqnDPvCVyc_oysmb=G>((dzA*GC>6b&cd6<PQf3wwP?Sg
zaQ%qXG~pje$<BCJZnAqi;7EKt0HgNcm}oj@VDz%tYv$m+GY~ax{=2zZ^MkndCc%$y
zD-vET#ALw<wQ@h_W{@h04ziGYAC%z=V;4#E5PRqUx!b7RxD-`t(do#)k7W5|{-eSS
z`UoF{cLVAQAQM6oUi|7Z3v}XL=FS%aY8k$HH)2_WN~9bwX)8?yTqDt+G<TD5g3V}R
zVN)0PP)B~6edC{W8pdNAu(#{x;Fx4UHll<61IlTttAfe_5ugbsM&AV|;XxsoQyyVU
z!J#2o{;b~-!(b+HTA};xB?4&1caP`F6)~tM<Okd^uRI!jZd}ufDobpvAZoEAnR3lx
zc_o>TS=eOF%2+|}m(t0O0mQyZB;#gE3%5Wa`*hWczwq%J7BgQX5FAq8<NM*1nDa<V
zm9Na6wWQ5C*a>%pp%w6vNRqfDg}h2%|3jFBu_V04b}iz*nKqz|2=Fh)=0+z{`#3M$
z=MSL?uc)72Mw^As>o;_8bew6qOv?NyIr_}bf<%NVuj?GR#=2}lNPtj?6(V0tRu;+!
zvz=k)c(Zo4#f-9HeerZM<pY!?`UwlVQO|E$6(&bKs}7XNnr?%sBj<q~7EAU;ny*5e
z(>(S(`j+#sAFNZ?U{w%;lPBW7p~mQ1N?8Fb_M!NWn(1St`}pXmY@YUFolVCmA`s|c
z)v`WqPGzs>kMn^cZ;cW6;K^JiP(b>2#)K+;aA{procpr2w1kfqvI044scOHIDOD(r
ze+%*o2?_DYs#Ytfz7?jRTPw}uw(NCrcK5py(7z-_U~Jjxc+Y*1%&6-)!LPCIHWGL(
z<{zB*RVYV1im(~C57D379-6fz*}4V><AJg}Ar|!IU(PMm2qeR*yWalTNEYKa4U$Xi
z-9GNMz7FKGDQjv*R+irHugn9$NIQ{Uow0*k?008pwP4!<?e$sz*Zt=D29zGv#)Upa
zDx&?&c)C&C?ruqW>hwYBuN6P)EDmi>2|>;yZH-!BiZnZG`QlmN3|K!hS8bi^G{JK~
zkowL5B!WP0Sumr6P#HF4-(7+2q8dEi-7TDT@aDb%0vF~-$E&GDLK#M>BuBCMPyPv6
zjr$u?gSuem%$0umOM^E3a}UNnR2HiLvQ<A6UbdaWg@FhI$Rl9W;1Dn#p!E?dVyVS8
z>dgj^k9jtR4bpIsqu1Sux#NuvG}i5D;Qy71P6BGBenij|ANg-mZf;5QumCrN;LT>c
zP@04Gkb1)O`(_Ft39<3hXn-}{B)*ZdOyM5@#Yh!DOc%XkZ2$;H^)3tpMf(6sF!cao
z<i-l}NS68K_dtog?|%a+EGx^)uGcB@5?B$SkqI}=9;dzOfG*z4{aRd^L@g}PT%7*n
z!#6y(6t;le%s=ZwT*#kW{bTeya)g%i8&|%uvGFda%-f;jHsZ$fk7N#!>J3ZwXZj1#
zXx<t&kUeZmQJz#`LYt-#*j@qn2F+Le!(dDel8n&Iy$l=pc^LY3<6HJxlaSv~g}To3
zp&^b1+?WB!XF3FEO!^&9PC86)T@qEZ_RQ<35T|wasJaPPqW4l1aUVdWIc{I;Mp(;D
zY#J<?h^)ly*6R|p>MXj|(6ZlUl#WYysyn#6j}#WgtoY|yr>VBt9&uVWG}>}HP5Re@
z>v%4+Cs@9|V$>sU>7{!&H~z2M-Ne<^)%<@i>WKA3<?5lKn8BUd*;!zrhVA-MZQwAV
zkdsq&<iblt`^jOZoi(EXn1@)TWp~0gR-JGLO%Y7%wz|p-#1EuI%=ou&j>uGkV!3Hi
zL`eATQBv}LbuZ^!ZQ?VFlo?M05l2fSjA&?Rz<?#g326RxiM39>zmtmO64^a={kuOf
zFu=R1DJm92BB;lheBK=r;55T0`qjxd-1;`N(QdVAT8|R);4P3nN=}jqHX6_{(^Pdy
zhMeCYKFx5Les-I1U`+Egs$abL8{}PocOR#u{4Q5ygR_R-sDa9i19yC1P3c4S>b2#O
zGw%V&DHmRC!Dak79Lg~tuv^nW4b1d2q|5h~u?ojB;ikH=^=(gRFI4O6mw)o(Us_xH
zJnHyhtaUHr^o|%T9Hqwg4jNnLN@OD%3dR}tv#gbG^KV-4ndXo`lqSZ@_wSS-OlIiI
zUCg$3+f~OWJ1QO)Jq^j5STt6X)P^A-ghf*bWj(bT>;%iFLKCC_6l8W}db>|}vIy(a
z%qU<o0vzt$+(}hkf~B=ziqQH=7&sM=8m`1aV!uCHEGwLdgif2^@c5nrDSK8v(3j5M
zcbZuA`$Su-GPFH#=YPGw;TVC0V9BRIE^RC(Fwys)j{iimh%3?DP-sF4SvfGJrS|*?
z+5!Srf(c6)il!CL3vLls>@I*LHN)cBBiGhik5y!fGkno-kEK1-ca0jmCKg|sFkBSb
z*S%~iT>aNQN#Mttw}ZoCRk3h4;TPCG!XAEo>B17olSlVf5nTJL7{uH#&zlS}t^XjZ
zP!$`5XIVp|zGkaEd-I7Y87Q`&M(WTuJFkGqJs!!fKSj-2@9%^b)q<SHVdBZZjngL(
zgS-uFD!4|J4D#MXuo)4(PqFrTgkWbk$6`%MGir%f>+enRg6}3bCQnIkq;X98hK-{T
z)Ak&B%8O|hqq+F!7c^ZaI|gN?#r_LmnIwTYHWS7SK8|`7X|s(Z>sD>2ViBO~AM)%2
z7<hc6t}cm|`XtoAF1%TGR7~2!jxS*S5B<~AN~)@7F@SgX{tjq4nP}Q3rBCqC7T&!8
zV!ySr#y)&fsh_ZYq0|E6KSti6;6Yie_X!ZSD8-=46<g3BE^~B;)S(++%?7NUw*%Z-
zV9D&bFK*dik+5o<5O^|ZtkUV2(Fy_4)_VM81T>lF7SDjNL&Hk&=~DD=v)5U`MT_q`
z%OTQm?vJo8+Q8%pd%X;cB76=Cv>3vuvc|YSov{SMRbDqoDUw15n6LhC)Fi<SzzS%)
z+FyD`ub3Y5f*EqD9LbZeJDP7eFx<Ix&`6$k6livKnLe?@aH&jPecfa+0wRqy?-cw{
z<CNE%9Ck_*AP;Tek;DPGYOGw4hCi$KR_0Nc_6<VQ-^`b^Sju7No4=<|gQ-)9jr7Jm
zqaVznOEi!Dp;-4h$hfJ9uE(-i?1&{dKAY4EsqqlsTaJR8bvm=Bp;LY}P+?kHP5!|U
z-^?&)e*a~X7P%B5=i4U#CjLgbW>4$|`@1;pj2TtbCUt%>|M23NCvB`|WS!DI$9k>y
zB8&kbpggU}Y|S?7px!BTamSlCbK*dtY65;0_SC~wB*?o&G+&DK@27L>$}^D>4iL}5
zam#>Zn!`9ZTT<aykDie_UC3^!dhynT!Nojq;#*O8d<%WRaUXG!Oihl~)J8{Uu?`&n
zlfkn+Z~ogQP%nU<NE3rhRq8`-LzJI{MKKR?4|zZyrNd@mSE4p|9Gx{=u`-j<w~))z
z6oc(2Q?9?pMUyX+P}{)vGyjkKZRK{XfVsB=52OG#0QqbJ@&cU-3`B1Cyp%#wuH$>#
zGg&1%1AiQk&(bq$bt?C&maL<wAiToC<6qxUXY<NEYou(8fDNV*-)Q}D@E|7eYg&^-
zE}4Xh-o!Dj!$rcd!%~m{DD8Jm?ozf7=u)kE;qeKz<;wlZz+vOYs<@&A8)R+`@-KjZ
zAf`Bfgv&2v0*M*U%`|~1B&~pqBxV%J{OOZ~A|{-OL13lTSf$?ThM9%t&ohc2-kr{u
z4C*#;a<E>vK5G;N#~<Rm+7f4U)*a`2l|D3W>Z=T03eH{-oBrZ@C#X<|eOpqF3+d
zt0?m@uWjeTn;CT^v0^cX7qR2cO<1LJY6a@@@^f|F|9f$P<I%3u^nii@ivcZe(!9C^
zeDpIQNQ4DxokZL6&LX-cc_<1g(Bwl;elHs>8A|T{A^C1%PL33+aRA2A463VB=RqWR
zqGtU-Iss1D9vH+HgUm>t`u_e9fmi18by|^vi;N=n`y)uA%^1e!=UtM>OJciP%Uf6U
z+m$!-MeaF*qw_-`X_E(J9}w-XtbX1vM|hf|feX|{NW)NFPpFA+T}qBe)rKSjU>D#x
zjH8g5YEE;a`o~Z0c+@&OF8wNskq^;lc<P|yBxQROF7-z-Ci}bw9F=&MXrO-*?FAln
zHQs&}(eMfO0869lMU=%v3gQ>0&%X%BDd{{8G}bgq&xm|}4Ni2;neF1HRJv!!!F0)U
zae{vs_!kR$^gO&#NYe1LxuaLA+z$wi#<U)HNM7Ch|Ct?!7h1eSg6|lx4~Ib&rr;gX
zs=PIuL-N6~*$5Ew$5mq@t3xTRoHUz&VP(Q1tAm0Rb+$G)KRDLE0>@e`D|ChRH8oZJ
zKhR+yGgLkfT`5jB^OPDRJd~|i7zau;7x~<)5?T&97Yl)aZ(31yQ<8{kAPfUXIhW+3
zRQ^Uojikb<(XZxV#Qrv0&f)2W$&EeD6gqfpsdDpf({J;9o_VOJMkuo22zk?%FT%;F
z1bP%XjscgoBsZEA5{8e~F3_OH7B}Wzy=t>cer|4ebHR)&r_rcy1VpT(t!2r5VIweK
zrp{c0NHrLfZB1M{uUBC}m=={#U9#^$X&e!r#H|P*Dfg9Wbeub{_(|l=C>B*!kFDkC
zs{_W_OK%71o&XcA6Hb3g(C^cmo10%Aay?#0VPJv@+_tI<Aow0=Tl-C<*31(V6Q47k
zFGZUsZe~qBiHYu{>?lZ;6O+`v91YBkTLHx)5Zn#KWvRNXB%YUetiskGOjuoHt}w3<
zZA8)R_wk_>#4@_v+QXrQdKpDJRdGDOgbU1YY|veUsq>;aY;K6%Nq$oI#c!!$7S~qg
z<rhl{g|;j#e2Ww+s{%k?Uv(E8whLJ4HYa#Wo2G?TL97Oc+;^ZSESITZ^Jb9$q+;Q%
zCx77|ej}<KmU)*pEd--H!)Awj_7U7e>DZc*9`b|vc^4<fIRzD_yNl`>=k}YY<-pK2
z+qb>x@$u0`Wzv|xb`r(~U`pPKsYdrobaqZK`^p<c>NY#>#W@WQUPz2N27^~u?x5Ss
zH5@TsmTe(%ux9~e9`Cj(n>2rY&HX0C@0FC}(Zjgc=2c)z-0K22kUv$z9zjv4Y)ylr
z`TCkk*g5Kev-k-{zph~40t>}$^{ByzKxPI<r0lm;yA-!Myl>Yv^k|w1|NL0=%cD2*
zeIA^N4YWhE&W~@4=rZ~6Yy@LvOAvj@XGX4%);z*G3^@8XNiz-ORw5w#31ObSRjbM{
z1Z$%&P#y|s7|KTnkarMUE|gy2kwEIOeN$C=!P<LYuh&HL{G_h%QTe_`Z&+U$?sJ;C
zkM@gj>k85+>N?Pn<Q=NxxKZF+yEO@$=K8GsMF?RAXO;2ei51RZheH+o#CMFJ1Y*_v
z&|Olh5m#&Cgw+>$|G#A0%%sK2b;>{z(s8p(LDk+AR+=T1m6d$Yd^T4eX+_FFz(}|u
zSO7X$xe5g0Mj+c}Rv1Ac8m+C!+|^_MEr|Y0yHsPl!v}P<ryqzK>A$&Gd964z@Jgv)
za*cov%8lT#%dvq_Y_Q8KeGoxV73aqTR}r^l)#P>@R+*u0=&!=~b4S-PJXS0Kxifdg
z7b}a*y-j;&FUABJJQp7qGzz=BqdQTEpPGvct<v@Z;fSj0bc*|gy63lPasvZVO3ng#
zTy91T?v#Rg3&@i$8whmq+>+-$ZZ@q4S>*JOjcKFs->J-GjWmff8|5JoMd<RV$w+qa
z^xPYmcxlfmCB)6TDj9;<PLAXtic|&`(8bTqNU%^?ZudEM`-A+u6?g766Wj-WQa+@P
zQ#lX<NxXY6KED{#6>5hyIr-j^TdP>@PHQGW59hPUPI5*CU@$u0&wJb8M@guv^1H?q
z$2&5XFG^F|uP%i9f4kd11fIFhQ<ka+TIrvwZ5|M2gk@VMKX1S3R}P~{hQUuK><rtR
z{J+8r39w0V3m$)6c9FAPg!67|C$+)m3#*cwMj}^JxY_FJ=P$3X18VnR$gpuwIfQW`
zI3=%@w)hvXk(5}a3Ip8Ot@x*{2VAg!3;dxpzf-qk^OGadHy7QVBgKYZ)^DCiUq4ZR
z5)OI2F<Dz39a%e8P~i1%epR0JjKC!!fk;7CD2*J@4h7A4tOZs4knsl@w$HqCJFRC?
z^zyT6YfjvRRMM>YC~D=2^+{yM4`BK%9aNl9caAZV6zfx_$$nQk9t`<K3C4doL1?>9
z^Y3PS1ph*7OSZ%F1W=RjvmX%98n1J+u3H`?AVCKny#GK}hj7w**obd+_V54*X|+z~
zp9(iF?mXM||2EBgduhD8+;HFKPEx)uv^TiPu{`O8@=u{gvwXjHybfIH>Q!!xD_~U!
zb+@~YA2VkB)fM0|aR80j*?K$Czg#7c!Q9L5b}6EEK>h{6XH~WRhdNU<vcF(2`o0Io
ziwJlazUbpkn=5^Xxz1TwLC}cmUM*f|6vM&bX{?QZ#8^KgKj^+IRqxrrRZ!r$4dh#|
z1qFhOp3G0p%=j^AuCa3>gG0;@oi$`OQxfSGrZUS8bcnfZSEXjz1)?MJe$9Jc)Gu%(
znApKVVM6qHda@;C4)MsV&g$pA(at#RDzGD(uZcn7+_b$Kd*y4z=nxtzMKy%qoaq?>
zE~@kV9k&B>*-u=M3AXb%hl2?A;Z}aJMM9E%C!r6x4;2f7t)A^}o+2^<PB_yPNjh0*
zoMX4?jn%qdnOiIa+#qh*NCzt|FB)heQc@xEd}z{G)uV*8-R7uSMI_a#2Li{l<$8uu
zVt&uxT9uZUpe`QtUVEUY3h3`Lou1MRDnA49bAvpcu4ifW4Kzqx1Y~(m=SQ>W+fVMF
z+@d5wr)dtmIAk1=!ri=^mEvSRPKeQH51&MpPH{#)Pv^qd1V?jJOjKQhFPwQdp3mI?
z(-!|)#yPx6pY<3jv>X&Dc8Je_gDNmX%!_5v%K$_=jp*Ic{9M@iXrr@+D^HT9P8^a=
z_tytX%WDFH<v!!wpdr7`ckm(Bz<2mxu_JCOA!o=cj?*c0T8H_++1Cv1)R+g~+fG~H
z-287{nijL>^U&RTvL4Qdf)chWrk(8%Q{l#8(r{bQUa9;i_nIi52K!+6)RR9RU;Go5
zr968dxR&-Q@Hgpr7n!?on!iW+0Rvn#loz8)ZBon=PMuaIAY`6#HEBpzJJA5t+rGfH
zyLEIJSMT}9`fp&Cpz*imF>k4^u@o;zs5j7Lh#_X@US-zz8y+w?;EUdA=(u~B79m7|
z2Zn06R;@tyx7_QX_X(yLg~gIXeR++?B51MTLo9mMq_hyi4cn7Jf^ul+k49OjpX=X?
zPTrZCME8H|cY;HL?Mn$ZsnA*c)nY6Ts<x%%HQ{$tRn@d&(wpW<KJd_8uxajwWGasO
zlP1gB=VaQ7ooPeBu+UoJnkD&^a(|QW@E+fW7C`@Ff8TVL{SAo$*mu{i{2qrMHs|_a
z?I=Cvei{=^Ry+_c+gzqWLj64ebir>?Ep&w#{s7T^9`}Jl+gO_POfKo#MLho2=gjGD
zf%opTkqLFv=Z;RTY}o@4i$vF?peWX}KhnkFKaciZ4bskUz!g?R!Tt8LI;}O0?d>%+
zSG>JOk+fp;CW!@%U#2835H_=!s&Iqkx4{+VX>|iCkL~yUS+yMcm_T{XjE84*4Ytz-
z?{MpdoWITg1_uWr4^P{eVgMDv&hBDQT7LWv5$|hVaJamm+yrf_45=TTtpG}gN|W4d
z?L{%l8ing#swX`s8>N-FNS5LE^uJ2Jj_zW{m1~QODH$&Xf2~CYHeU8J_@L2G<suO@
zadB|F3*V^;jrl|GLtREFIF-*?vZj6zk2~P8x*0oSX3aj$vupFm<$cmmm^M#1cvXD4
z7ewyt|3KyXUPbBBcEYPKsB&K@6^^`ITrJGHFU>|Zk}@M@_w=wcTgKz|cuq2g*rM`i
zm;W3!7X7ok*?Qs2$16k8`LF__I|j<mpFxA}Cgw3Au3$@Ic=LnBa%Rn8;ofa(caO>S
zWd8tq_6Vf)9phLqG(t5ImYDUJYsH9X9-uo!7P`;le+Bf$2__!)_RPdFg$WLXjZVNQ
zf+Oxz-b$mL-*+ZA0Fnh5tdn1F6kq?e47_xcJaq#gu<X}2vM%7G+;|<|cpAU!xNDCv
z>j3PRub1ermrSqMOhCpwu(VmEz5D~PWZ6%{*-u-5W0HPw6}W_QR6tDz{36va$JH;u
zN9bBTr*}T2Z@j+T`JFWSB7*=g$s<73e|@uK0Z5NGj$r3~MCX0`#$$W+UxaGGWqr-J
z!a6{&dLga$eDY$Nj#NR)KMPpm5g)heC)dBL$mn+Zwlj>z$H(W<fJhOb#n=aQDlUIg
z4%eQdx?B0Z1SnWhfkDiZ6qz^a-_&mb0jiQTdK(VHVnekbjz}nX^ioEcR`U?Ze}X`L
zJ~!rW4BM0&=0`MCzU?B!oSv?{EH<Dm6h9W@;{=%1V1lR8<;0LbRc>IX#;MBXN9$aB
zod!e7zPWww0o9B-KB>mv8t%5wYmy>NnRgv!WkAjLvv_{Vik)EYHuHIpf319Z;uWW;
zSqBz44CpxwY1i#z_b^+h6@3GLrDJdc(WD9mH!%><RwmR|sm@C2hRE;WmGiEFPpWEd
zA@h9CS2c*eCU)E#%cc{&v?LwRo$1U-$M3^x>sZJMurYd$_D*J+hcq2dqS~iRTqMll
z2)GZj>jcmO{n-Xa46|Gm8<~d7kgl;wDWd(|eUB{XhK*-Q<D3;jzGdAqf{Et6DPooX
zK0fRJrJ46esk{X+bjE0}vN@AYn1`Qh3RNPo7)D=x096TRm+a5orq>^-;Pt#GDt_1k
z9(aNT==uZV?B=x$ljaB`8j)n`riz@8_RIEIW|N7^&r*QX%=7B-rk&0E0GPl;wCfA{
z{WG#zEgFK^PgEXtKgl(PlSNn@iej={i*{I{xInfE)fDMoTv|%4PjVt2ygCS-!I}of
zbk>|fSGqqiFy%ZrE0bz8zXy0~^2ULvIfJKHs%afwkuo6ZTz0_w0f+I2;`S#f7$#Ws
zlJ$ldLpR$mnebeMGSbWMVL)PwO5#UiN(+E}kBq1jw@Gy}bM*QHh;TC@W}joNu=1j4
zR(SK+{fl}X#iFpbO{>{QZWywtTmKwykJ41aGA^~Yg<ruBrp8$r<)a~6nM0q+^|?3E
zRHL?PS~P3K{*?`WBqumQkg)SpxY|s!V+7WvohxpHz~qC~hMUqii$&4w(Pji!q&M9g
zLg)>~3EaOl;l4XuzWHTkoi8VyFF<09J#eWN1s*0}PA6Z0Cy^(52gp%&TlY9PJUj$a
zE4JPcCIG3#?{TH`c|}p+^(_PkctZJU_X=f`f&Q}ZO+Lx<#KqGD@J3Oqvx}GW3oWZ^
zz4jKZN?(9o@E<H&@MTA^<9)zuhU9%-{xh~QQJ0_W;_9m0EIZ%$HP~$eN(k=<u-0-D
z`uffT9VcQUA|LKY|Im`p0g`PlzGmzMy4)@Lz}aeZbCa{}*1%Pt4Dn-uJUV7=liALI
zL<|21Eh@++&|L>4h)>hNoE^76^SPg&@^_rWI^&-nZoc2zaS<@Y%TldfoDQW$n4G_+
zASGdWG=^#A;zP3EgF*h$nb>9%&Fu2Yqb5opklCDa>l}9A*6J=i-o?op6GJE3$dd+y
z;J(6$2mw@V5QabIZ!K<;;*~Q1dg0G?SA5szsK*N{Hr|BYSj$&wGJ*TrH~&;-5czPJ
z9}`+~`j=XMJnEtIv|YMFcS-fNbKX|L@9}QkCu+mVPW`9M^$zX}ITCCE326%o^!r>f
zfV3ZI5EvVZM+#>uOm65e1dS*Whw%Qrp%5i`nlOCH4a`h}uBvOZpYL<)^O0NQOVEj<
zP6K`C*TjgPtLL${Nsoh5C!dQYFPDwEl;}(+G2_r{=Jztvs$MSQ{=r=piK_VfK$@9V
zeLYD|z3PWg@k%<oy@~a#;X6lSybJV>G2bv?1Lb7wzv3MKNhOsgh>}qH0F2Yh%EFxl
zxM0AO+FDwk)^h8RHfxJdDGJ*R@?N8E_%XGqCG>;hMEz<ALe}yUy?Y(k-lf<uT6mYp
zIBi&=hZC86o(CU^l(H|Ky!p-6Fwe`}+aOV`S#JAdsUAY>TJ+_@E2tQV7>2g2*KEjv
z&XOdj@VI{$X`NTbQZ1$w$L@JN<uyx)%(`d5&(wyd<Mgg*jAzoN^;zGwu?~L3)9Xlq
zn1jWqOciXts-xx!F|dFG_wcR4O4gEh&dOL&Is2W<&V6A(c;poV7ar?jSk(KY8{jVP
zRJr|1JwWk)BH_6coXzoFA}3wds;Dn6I;qA`oaOFX+rX{7$q^jAbHUK~KqFIn<*t)d
z=%j!!edG+xRX=0#7E%4Yfz^_1(;UV#!DxC<+Gsy%kcF>^h2~bJGNo5a-M$@euo){N
zP4<6U04MsXIR)qOfUa$fMZcE026Onf@}TjAJnTg)qhppYa!IQTlpJ@>PW*NHhTL13
zpIT?_^S>-q-;<Owr}-Nh5HU;O;F&2frTf6hKGJ1r+UW(n?sj}Zevt%(A>q(hEJVDR
z(|6Av%n#D|mv6`sZ+rX89pC{32)fA!`o%!X@!Rfu!v!$&B^6%)ICkP2Uhw`<QqXgQ
z#{H@vSKoc>`+xi6F16qTmf#f@dgd!%Cxq{fLh$%7>9>CO44!;@(;J-V>1|m7WG-*P
zq5t0gjYNKK{mWaf_Z#K+EtDf4{)w--M?3S34WT2dCEqMq9iRmR+p!?%30QGX-*)}Z
zg;@{eF+io9ZrwO+?09#+rVgKs9H-Xy>k#i(*Y_|BfrSU5PT*Abc&7-MzW{T*URiR{
z(HGQ;VtLUxd$BI;gF^6zx2=VRg^$nktH;Teds|(dla1qde-!h|D3_uwuCV47-Ji~o
z*(c$I#HD~m3+hbH3-}%LJgT&>{W2m*)+tS<a#3I9KtlP@@cvUbT2%8?r7o3AT~<eo
zh^-WMisl6wBfBX6Q)JvIVpBnT3iX8b6sC*)moNY`%F7zQ+nk*j4EFxwG5~1<`0}Av
zpYPEyrf*LcW|KQoxyv!pzmuRvgYzMjTdHdt&1b>8E{O#yzvq#LE3hR<Y_mqRGAGv8
zy7y^M9z;~tJcr$Pll!|%oy5!Ay`Al6{&ZXjYE&t|U&YX?_XR8^_=SX+G=<AVlg;ov
zK|_<efZpIwsY+x`bL3uI-1Yjpp64SKMQ99KICp8RgVhr`Fp@Q@E%UB~NaRbUMYUYl
z(-rg~Up&607>MIu!6B~`YbLF=d9Z<B_8;v3O_7l|>D7<!p=a}Zx!TSH+QZToNOtjv
zEb&|h`+Exv?0d8nkkg9at5lWC+SCDKuSE6wc{&k!SJQ$u=LPjFPnX@eR-Ju$zAKh3
z%C{rqBX=7fD%nVujl0_|>|bf|h*JiC{!UeTJ;b589donCgXFQ0p$0(Z8lqu%>Voda
ze`sm<faZRJvc0<|DU_0)6>~ia*Ceb(4>kzTkgH71qWSYcfWPT3-)?Cf+SJO^1`w3?
ze6CL=285(IySpQVBwwJHO?=OzQAk-~Sr8?{6RC_+5f8OYh5ww=F~Ha-Z8WObcp_o@
zot{d?8lLmyq*b0Py5_oIETfnRMw_j6<@&U1BRr=nt@yx_+id1_rG5~yf?v&ZcN<?d
zb)@?WhH2E=_)uWBE;F$F<6T^)X`5~>yw;uyW>b#`DrQ5;D-`V>Fts|M^+oPTPI;{Y
z1_0^L2d0`09UTH(jO%0o<$A$)SJJm&&2|H5!*oX-0{d#`^I^;j4G5ed@~Y8s4S=n;
zv9f_D47cNrA4rlx-SxT{^St;LS+zj|xK-wt>de9p0n*sz8w%)=wgz}4jEsOy9Z<0X
z*X~?ecdIq~jBS)0`jvmkO*88_V`XWn+54ulRFI&Fq81jSpcc&Ed^6HT1`Hva^^1Uz
zru_>9a@GML5Rq%N)}xjelwqZ7Ebw1QJ!BXF4So<m%l~W5Ia+&~v)b6f;$UNVn<JKi
zDmVLEMwhwY8#`+5UW1Tu)TftSLqkPd0PbB={Pyqt`uCrb!40T0Rhe!9JfWnDtSp$)
zYvH;ScdX(v8sEA>xr090kK=hO*DLkvp{%=zesvu(07Y!}D8WQi6`R~M>rRaV9yv?c
zv`$kqiLCjy1r|hPNI;!N2nDSoo{w!(`fDD_ae&(&EAJ<(T|=CX5ih=76FAbavOsy*
zS}r)c#u#j!;Bi*LGI00&AQ2FHeDsx7@4HgQ#8Z1~52m}L7EV2hL0ygN!aH^SamEfi
zH@C)V^V5rq$#$i=MD_4QRfSC+tK=l{v|J{X_%ZaRX_TC3EYT_jg7zh659df&w|`a}
zg%S4Mfp9UOMp?PrRsmisI+=*#JYPuiY+~XA9RMHL*MVrz$DU`ot+2rNnCTg59+O*Z
z`iUdvLI_XEhN})dIxeg#Pg*3zCV0qyDrulhQq89LwMNVFxK=U@Y|$1bSXj@w$hR0v
z)o|D-Z77XH>7(98HSnCaQUu_DP+26IBRHwOoRgi%9UqzMzaNKupR`t0Wh-Hm^sulK
zebnJbO~F2#2#JTmKAW1U>HH}PgbRf>0in{5&yAEL_U`WP&dz;kOrO0}dlH0-rBI5K
zqh%NO#$VUC&qwoI!TBS*?}(DT#t64qLBV6I4CyW`$U4&w6hZ01DJkD}l|ft-ldJ>s
zaY6&#rnX;O|JDv=<_5?++NFk|*204d65<ZV#a+YmhUiU{jPp#s$f!HP*T^a+>ED&W
z`$K69+)V6N@L=%EsR2EK<+HydBO@Xq+g?ALKWw`#22%*sG#v>(&k90y0XxxfNRQO(
z!Ru4DO0mKkpog3mEIs*GuK#@ewhaMxB6U@`YI=S_PQ%xaomU^xUm!pL4ZwNhCj9Tr
z7=#Xtp8@*L<Mk*2<aF2}gFF)HZG9g9i*Nj`OR%-Tf)_Y$u@m;>BCkI4y8hyx8q7kt
z2K!lC&3m{`rLvh_gD=dUoAVMc9?x7KKbKnl>*#E5Mg#%zEQ^R$i=$K??p#LXpB$Ok
z9TNIg(g?4fbKT5^f}pZ{lFr8NjTLQ?srj$@&*Gs(%5+rsO^glcXG-v!X9gJH>qI`e
zTZ4-N5()4qr%tiyb(iWo;tKsb9(0OlAJ9w@$t9F-GU=ai8Qf!!oGq(#	J)iSF_
zhy*JzUDA@IDLz5_tLgqsm>_^R;1OJ1R2Ghv8xSwI!Hhca5?h;Qk)DKpPtJ`iH?W%_
z@vG8RcL9h9E2BHmF|J@s`}#S`hC8Um7W-lS+H%RVFvG6w`fok`V|p<V7O>Vvtc}H^
zj{V)w+dL3sg$NcQKD2^9QdPLC64sc~#EKRCx;&aS53*m?E#qxZN{B!`41}{wZ+<-O
zpn4E>H{T54G@9VC`m8yNkp`9BDaUX$^HVt%Qy8J+!YfNstRqajgFf7_W9hpgEC|D;
zz9uQKPvx%CjeIDBaK+xzhsS+sr(y$xQtsQ?n5Tua>5vEB4_DSOUDt3|?=8J-QnhGN
zhsN;0X=l1%4XoRuY$$&!*OL6NP7_n_%jw#C<DI%cfbgbTk_YAVnQWYP9=SL<_kA|k
zXAY7M9@bjjES#;x31AHn1e^p)BuY|>ddoU`S~qZs?#BY1J@8J-rZ9-Uk@QCAmr<?f
zoPJoN%jhB{)kUrqAVAd#*etT{vR;pgXA=UU*~&)_V*mLANFPlGF<hcpApDd3xfwIU
z#N3#PkrAGL<sCDQI}b)YLg!;?OT?jbZ7#NeGq$FG7`ekNh59F0D~!iXkN2+N>!H5a
z83*Y8Ehz9X7v1MjG=|{vzpVmb$~d^W-AzM6dbjd}V&Hq#)zp6UZW#^g`#$V3jAm_O
zuOC}y3**2))s4D?*Q;z7@|?52zgzgC5WVzGpea>Xe_Wk}WAg&Sc|5;<${RXlbyWg|
zj$)m&qRRDy(xonAvZ78Z63VJMT9j*x0?tK<4CV(cf8BOmwUX)=&InicRdywLf%+ZS
zcYK*`t-9-4GxYVPc+3MDvJFJMUxx_qv|oZg!2m_R)4mS|IL~7ePT015gnA~Oip4&z
zszQrQHRCrVAyO$T`CS~6h$glYuS*uXva8t++oK!3F}6{b+94tJ!Y>JKD~$4C4GPoH
z2_CLYcj;apNzMKE{^s;-a}#H8zDTq2{hwu`MiSz2gy-4LRKVh5s=5^g&obSi>{&>n
z>6AwoBS9fRC}tAZ*wULgXDWa-zyD1Kc1yuemjcEg*b~K+{v0{ugxvt&RCWJ_>0Jz$
zK1VKDQ9@bS2&Ao+!D*h(#4KpQ2^DwGU0!){hF9I`JW(=WeXa|snRC{=jCCj)|K}vb
zftY^_ft*eVES0leM25CQqk`r3Y`BQeAJ##Za#0*k0#r-{(Z8-P)E7_H45M00x1aF-
zt@1MqBc+f97A&Wuk?(M*eS`x={_ZS(uYxw5D{lD3@x-;PJ|$H(b=<}!ni3yQ_)<-G
z%PDgiXffafWhN1iS*Ae|24@Bzjg!V7Dp0c5TbuVK)-K#3#f%ajB5+yG_m#|kFjee#
zsf3PQaqr2c9ZJrz+FyX@Kyp-T3D1QQ1JSU+f_}RsrI}<-=zP8YVITa^L9PUiBi=e~
ze%~S3+i;#01>uiCiT${V77L@fiQlIH3l~wmn4}DJov%OpDdB)sVTDP9Qx<f<1R>e2
zyX#qcJNaYdYlC`c)7^l~SP>{!EYf`c)@45fmA}(g&v%LZZk|qH{14PABn)WnlljLA
z5Ngl5D@iuw^}pEb1OI!&%4Qvm%+GVhEQyfvSagXfeRxG>LkuL1HsUlPzjaaOKm2JH
z9<j_<@7+R!!~o)nr$HR@zaldThBJlw4qs1NZKh7RSc7M3Jt8f)R8Yt}X85tSZIDT)
zNk~jPs1i{7GmK(5R7i^9AWm{^Y?!lia&h4b_rob7kps3oVClxah9{>8&#=Ou`(0G7
zs!k8Rco(RhnPpp_S(h=Sg*@?n=bNK5-hwK&#A@0Xs~wL43>6N<;SBM-83=(YZK$CY
z+eH2R1P{=3BIcp4+(Kt4?7=Iw3_8Rs$A{Q%oPxx+QN57QPycOhMqemuReq|9CzVRC
zgcd?Z3&<8`wRD3pkMu4gk=3W!*q!h-<~tn#<N;tK#IckEZqiTS$)Fd=(xG6w4nKEQ
z*u~sdR``iQKMEjyo#fc^HbuhOC>-Z#j1WsrG_W%8W>`Rcz~SS?oL#&ZC!@1L|GjFM
zV9(L`mtzQ#aif3sQ-qKimn^1(R{?Yh6^ahRw@Ko^x0z{@jFV<!<EAPI4!ly;gt~M&
zOn^hKi~k7$s;-BCd=Nz0QhMv=5){7mlh0O-4{F~3)Zd1X4UC}+t96S6Dk1E=ySIz;
z*l)vYt5qYa*c8htCB?&b`SF5knTcE+*sYA9V)qFGW@|?SsZq}E!tV8U@rt61I2_6e
z$BH;@SCXY>FvUE`NS<LqQrK24kfT}DE+q!iGT7PRTH5Fx&`0EMTvx+TT|O1Do5-t-
z!7mp$e!|`5dMdc<W*9XceB!*0Bkpq@>6*`rGg7{%SABfyN5;iL?dm*8z4PK40IGtJ
zZ|)mEvemOJD}huVx6ttRPy42q?PBR%*N2-xt9hfq;-8A(t;&Dg&&~VSG4sE(94mL>
z{VTgmCVJ()TUXO;!XiumI^}ols|*}mZjcsMCDOP9VAK%x!kj82Mn^{hF>>3!2tuz|
zq3q@^Z8nJ80lIc`xyWexe3*}dQ%DH?X;}^X!{>R4{%bILpg#)^&^C;xuAiShy76tj
zm&mV?iqyY^CCfWIJ3DelYP1a&pNJwGU>%51qpvsBRpq|82Tf_{&1<a$wM(c{PH^yi
zR4?52UOtXaRvR(>IPx^VTtpFWs&e)am>aR}(3(zoPKF5$H(^>=8ezES;gP~jUR_0;
z7DH+VA~YQ5CZ#NccTha}cK(~yKZ`|J^J}GRKM>eBzx<vh>SM2|WM7m4=j~wr{tF|8
zq*6uCQ2p}#GWPeT6G9M!^*tPNhnH66{L9PBmq%Ttchzp3pEH{@Ia~y8b*5PdQE^MY
z7NlW!n<7_6F7H4Wwe?%0%JB^lV)X_6z~{<<Gj|d586fGjUhWzvV?~D9NW`+<Fwr)k
zLzmsa7IMvT*sct5b)6uhy%|2nt~*is3?k~S#WRVlU$Ke))Ab&TNJccq!G_{J3mPm+
zCdFd85sgIgp@N9YI1%1K?)g+r@hQu)(W#5c=Poq)d(O0hL=z97vW;P^+`{B~{H(;5
z179G^zBn*$0rd!8zF`~A)wFGF^c`ARp3!0(ATVie9PB&9KDtgyWgi<VwxnEWn!)Ll
zswm3yI<=|4A<IJ-60`krrt7hO^{WtVDv7wf+mS^1K&LycF%aEx2KqOgo}pZ{2}UEH
z(*(fwLM9v7nHWkjtwBWyt+34oScE=i6W|7zp}-4%fVtX651F3EJb3aYaX(lEieBKM
zj~~%&wcmmUc>~c(o;OpnOzk&QL*R`Upo4lZy2I3Qzm1hT7Qc6tcIMUJ<L~E+7?=~p
zUs%qLhXuAS87x}rUiVAa{0Q5v6Vgyt_U`+Ydmj*C1N>M9%oqxJ{T>}4x1Lx`Qi^b=
zG4M4{C>bAdEd@wuGlLtNu7sNXujUY*ip<&qT%t0g+AQ1!F))aoJ^E1H(Nanmudw9&
zURxW!yGBXV?m_CGkM2R_h4jW82T6>KpuM;rR65<+Pt!Q|`kP~JTLlRv-nkz7Jok$}
z+JLE)NZPIu^uKEJNs@zE^MoL%QPMG9{w2%Ld$jNIjRQM$e-s0$0198(27)pEtw=L=
zTr5<&a-<?i&Kx3jk&_#?t~E$g#JtCaz1s4%0wdJ2v-29G%vxYdJWix4G**}8TdCjS
zTXCjG===k2P1%A3fDHO5#ud$YXR?kHPO-+2UY0`TI&&*W_+5AtWB|Ya*Zr%w)o7dH
zxV`n05%$kYK6W(Sj@^dtB+#9qr%ein@K{@-5Icl!Mx<ye^yb&r%%TDen~5><^tOUo
z8^0^6F#<^755)K-Rue{tuQ=fvJZaXDYKN=mRiwr5DR)ZWJ3z@jT{t}EnfB|bNInfp
zbRY$0s*k}DeXf>IfNn|XNBvH{kzKEm03q7e<#n3Aj1{{-Oon<H#T4T5Fik3+-`XgL
z!=d1-L3$OCA=OZpDG|)Com9Akh8R?Y&v0_4>(F9)6?r%1B-%VNBvpo}(NDhZTOmn2
zH)dfwLwkX#91*S6)^V1}fyQ6<y&T^#g6iYm+O_$YP_>Sit-H=wARPy2V5*uOJfHof
z1eDnki;s0M<iIZP$c#7UbaW9Tsq`BNxrXhJ@w=w>yG90Bqk>Ppf^YM-VNtr97@V%j
z73uSf3qfv;h1<8monYw$SU9U{sY9J%opzGZfe_0n>$bIjgc<y=A(Tj1`&I<YrB|<f
z&NIZ#VPeli0M{oh?~u>>Du}eneoG{+Xmsg%)s0wOseCR?5+R-vb1?6lHUWpwuyg`L
zjLvH9np{y_1W^+r3G`-LZ>yw0K%G#QC<-Y`FT*H~t~SmSS55)}T8Q)6$Z*RC6f<SI
zzCg&YDh0yRwQt@tM>09uzLeqMs`9Ejtx%<WO;!PkufjvuW7TC*XDdo^nl_P}da1IN
zrtO6z5Xys=SqevS3=avGz^^g~4=(x5xn;!77Uh*xSm>+XG1{=X08MD(y_y^|6CMH?
z28>nO1QHo|QsvB*6Q7<DAr1z=4>37NXnW-Nx_h09`^+Qb+l^<G^j93&{BF!za5S&l
zWJbCiU_fI7x&>wddwV8UXPDqlH+K)kevYu!Q0&$Ph%?@gJ9YZ(CDqgmb;B{<ix>$X
z&9>bXvuLJedgux=PMC{sxitjK@tdE;2~udPizPo~oij=(pd^%sb%|2w9FKBWM?4~U
z-si9*q9w7QArNcnM#^EhXNAaph+_K^tt=(6cs6s`{ZKrWQX36W;~WNg0hqDB7u;VF
zDfzEh3(@hSwz5&D3Tu%IjIhGYxYaHb@>KB*qZRccKqx72JWp4x883g(%9~d{E-5cF
zy7H74c(;(_3_aQ$uL4BJtxAkQ!1A*I2x}^pLlAwNikvQ<Rx<Fb!HkPr-8QOmj>Z=Q
z+1$x)O4IjW)=S*@zkq1Eken%|-G-JuH4La-Eo4a;PJG~?#W0L?15wVD2t5bAHh87p
z;Npz$|KTuvetRXFlqQJuks_>1EDgEshxpxx00B9G`F}ei``@49w|?1VkTS4%&J+ti
zThQ)_e%}_n5f!{C_WM`t2V~+rBX?dRzcsuOfV2DM8^Rmtmt~z+WFaUnSZ~n3ouXvx
zmcUDVsG^ke0Z~Y)TBfN+xzU9XzF!{(9qN|6R~FnR0FF(h1jRvzE;yNT_}{;OZp;NA
zqXvxPPt?@av(tULh_$B-rZJQUW^i0ZajO?OBw>XJtUw|LHCE&-QE4#L<b$i@H(GpF
zURi@Ye!rM4x&x^voO$8=8|I-AKtCy^!z${JoO?n8$@z4S6?yI=+O|$<i}67;b<kg&
z1h%&s4P(dux!Fn@gmp>Lx}2$-Sh<g7RK}ZviH}JCR5n<1qUH%Rq=u@gYb(z;+TxL2
zeB6zzQyA(k6tJpKnPd8diuL2loEgp#wqlMK{@7|x?kB_Ou>u!re&CgjAT&7$<A5<(
zrXQi_(3AIS?c=pGfrsa+F5UOTKXZr6bH`Dc);J6rm#@YyF7<1+=q+n`G~v@U_<EYs
zVr=FDc)t>rk%nN{%1h!kmp-IXAhJR;jLDAVpZiR@qix}(72ZZCP~?n+Ehg4vB29gk
z!e)Lq<}X%TZs|2Bs9uK=Hm*@VY6?kbrF3uaVRTder~Ib{Ey>Mth~{WY<0ogA*`k1d
zVa0RD?VM_5a!70Szl55FI$sPZu`eHU+r?xoQZJb8hnKIf9XmJ7A_1#aW+su<*|XmH
z&I<&P5CFb&pnEfoK7z-#5G*-KAD-u^lLOIPxJ=H0ve)kq*Qi?(>jNy3yB@Y^dR37d
zCDF3+i98^GL(Ih<il|*fKCA+mc+N5R?MlZPY-Fe*x9|STlD+szc<b9I1VIf%H*4#k
zRzWJ+UmC$BPN7!Uc<+ufpbxjKgMoo^`blC3y?!#B;>T}z9hzp_)I9(RzVI!)9FRA>
z)&e48;M8BjFbd3P{B|iw9u@}${=Owdpttn;o*($08<9LNzVW1iKOpIJzcS39c0Vdi
z4n2IE+X_4`O?G&(d3%9%>wKy;@Gd7ArGNfjInyq+Xl2Yj5wX*f*V6llPyVZNVi;hp
zHfG+LRJMCSOf{1hOw}{&2r1x)ETdJ_KJ){PuJy7AUX)&-$HsGD5K7ekRrsjOW3%2S
z#veA6pgcJ3Cs>*oMnZ~%-e^G#UTsA=5h#D_mQVot?wP9>pa3S*Y}{NEqBW_~Mb+OJ
zWgP(6@|sB;KqKhr!8cB|{6zUEE0-{p6!$$@TrmfCXx)x6xQ|;|yb5o}Wl#MRaOUEa
z?3Ko7s7)O<rLfY)s4$uRR*vPpDGK~_;!2T)Z9Zp~qMnTMHW;WCrGZi|Eg9xLCSQ!{
zXQd11Sctu(#5rZ-_k~;K#VRRN$r@+k+drLoK&oPa@8;#D{eHZj83Tlocw<Qh)x{>G
zadMf(b~;XQ0Nl+DWO;ziCr3}ZZt3*aQ_)L=6?4vo|H7J~5Kx#1^#KS++|q?;aDd%Z
zgi$0Q6P)whY#X`4p$YpMkj$gcS3zVnFs3{6j*gc-_fNdP1W_gqMp4B@>R0XXE)a&O
z86GuND2+WW$bKfA8fNu$OCA;(1k2rdH0D{FIBtrScCqkS{pV!{p*7wT79^JPNFNTw
z!1DUNJXv$LswJ7)vFB>EK>IVW$c8#J62WF2j7KIcpV-*~!Dmoi&b;kT2WW(P=b<e`
zf1oqq1c;s&q~5t@!uU(txKA`g{R+;gp_FFzufUVueoq8Lmm<ibH|FyDVe3IpAJx|5
zkf29%25P>IV1J(C+(AX_16q@KcQ-3Dj(abmR|z4ysr7@#UsQ;hZE1HI63iYRLT70V
z=O5G`N&fE`jTB&DP~T&~a>Jp3FlfXw0YA?^Vi$0BU3nuOzX=QkUV(w(9uWKq#ASPI
z_k~URoIAY*mI(r(DKK3@nA{T&K%~*!e?<l`U2Fv&J|Gh$`yn;^;f<^Q*iZGE@7`ki
zsCVUD9f-V628hPzm-A?B<@B6()AW#u-UrpKIRP<9nKxfoHa0q)FXibg_2|OdiJN4F
zc3-S^)E|g^ueSRy1W*K$w@?E&fqd{2VwY;&RyEannDlGSZq^uY<Rloo^z{^U1ZiQL
z6iiBPW@y9k5XN<f#!A*hyanii%a_w2NZDiKb0jhjILYG@X=8Ei+j$su9?H_t9aPRu
z8;tJ-wf}^~5yRL_#S;91yD9;hE(Whv`;5Z?LY$D4k<bZJO<iNWG!w2NZZlOESn+4U
z!U^E3=<~3sY<8W~(yp}OJ_scJA|uYX;!~cCZ#;2KQ!rehlIW0n0dv-{A~_*n5Ob#B
z*c21`!`$w<Z(<^Pe)%qt*LKK$KXgV-GR*GPxRwSDYOIa#PY+SUW>{W*2QVY@QT-qy
z(&Mz(-)&%jy*n)V5tILOfkjJar(omy0Rowtn%cf??cm73fP=TS)H_)>tNc*hB>bOl
z23F!5yOAs$<E%>81OD&6ME~=gEUq0^9ZrXD^QYT7{`p<#OMqFkWaLLf95}K&yzdny
zK`*HN>T3b-{$aFO{5G`K+3PsX1a~$M<F$^ata}Z|+P~Do?1zfEm1k0#O=N6kxbbE>
z9Za<6{c*mw!~z}o{CN|9W^raL2Uq&oXK5c~tgNkl?;WLn{{88k{&FR_9A3o@jq!q&
z(+>Z3lNzw;qcYd|N`7@(TgqTL%V3m1vp=p}%vk|DK!d7unzxDck^Etu;9QFbW(_IK
zDrM|zi)d$Jkv8^mzQg4*i@_R_`?sLhedhhg`&1pUph$Dj!}Eb-Sc=GQ(MBT4-{BW%
z7laf_$O;ur#?x|eZGdpuWU2++)m|0V)&J!Ihz6-w=|K6<7Ap#Jr%(>R1=YV1!_hOJ
z4!K;J@xXuel9}{<Pw(Hx@8BzX@4Gr5Q%zu1{vVpYGAzojYkTN!grU2;8)>DbySt^4
z63L;vySux)OS-#6x|O*7E}r9i`2qfrV_?|V+H0Nb4DPJEMk`VsJ=_1|0?Yz7KIDkU
zFGy0TgI{fIPU~&#cW6e^=B%Zn++Lu7bb3q$Rjx?gGoUtEa=HM{mE43Mq)n=&hk%fP
zo@TO8lhTEBQgy-!q-aau&9BwaT(Mn{eaTHGZQ6buYUl_NWZ@InQTcSqC&NKuH+rjn
zrqR@*Bw%0aw-MXE>k~_t@W#K>xEv)NJ5+?l@emjlY3wvwJ0X)E)Z82wLWWv|FB^+5
zz>dBgU(I4Bu_Uq72gZj6RpFw4p-}VRU9m86$mZ6^4e{yp^zH_dL4oKWfH%!Nx%m9-
zORIuwq0`dceQ|O30R@ysEt_+q(U@M$V9heQ?_~p5z%L+buO*$BRa3DE<|8FIZI^**
zsA{roa~~1NR4DCtBi5wB`k=!6<F~QR3d+#mNab4b=H2h)GwlE>+T(klki6_>N5@Rg
zK5013Ha<aB030Wg=nUGyy{}GAvFNPQn=)mX`7V@=+c|$hSQKK87J7>qZyzWVcJBRh
zdD!ezEoxjRgQ9rox`@n%F{47t?Gi(4nknt&t}9%su!tp5rV8cSjU&*)BN9zhzz}5L
z5K*ghT%n9Qc8nLT3MDx4qEC4&8S2PzAVAf3BRmUM<58Nev<)Kv#hsb0WCi>w|LfSi
z@Bo$$mcx%x4)$Z|yXXF9CsZVg(I?-webwSi$~j7g&k(Afe7Hk?w|Sdi*z=xs)l-+Q
zoGEI4Z2SI4b*O2!Dyd=1(XQGZOqzz5@O^&>$<Cqs?Lo@I!SknCddsUO4YRkzNmc_b
zfuer?)UYm`p*B8TBq;A9l!WkvS4AP}Yj}M4lv^}fizx;F<?=X$&#CjIqiM?p2UN!K
zSqCRR|JtmEnL`o?OA)BGje$g#^#wkqIQbqB0c4+uf?q%rGUg+a3U@_`0`s2^0v2FO
z4SZy~j({nKglaKn8&E;^#@oi-y)ohU4|7YFjep~yj5L-2g)=}w(9rOCX5~E8_iE-V
ziKi2eqxKs|E#zQUA)B+i;c=vPjS9%9sTQZ<<^MDry;gP%2OUcuV^92LEUxswq90GF
zsHR1_#UCSp0sHP1DI$>7OO9dk_Rk;w$%giIQ*bD-Bfj&9>>!E`<^S&dx}KaecOJcM
z8q#+1*Cf6*qN=_3Op69f$BsxJm6x}&=yZt&n_wrlanTtal!e&j0ReqM$VY;XFJ+DR
z@_APnDQMxFH+lEpSu1z<WRAx;w_)Mp-jmDmy_uIa5J(yeOV;jfe6`}ah)eOTqM|`M
zUV%>jkoIDG$hxT|d8W$s+x-2+>ri$k2!yBu<{EOwL?@iK=AFFrWo_>&`=@_B1Ly?Y
z4fJNqJidKQ9d<s+;Q8w9@M_yd_7T_UIae8Yr+j?8yll?U`mN|$dR^~Tx4-4u<$laE
zv_T%;28Yj9r6%s!HV2Y}V@I?1OAs=$<aO*2vsV=a(t<+~4>4no!fWV#&8l6S&A8^y
zDoDh{0Jm7VV^AOVb_zb{w#<+jyIldjgZizdDj7G0gDlZsY++CK*XKnqoNe1XZ&~oc
z7p$P=I|+zk?bA=qy`gZNmC7r5&mLz<1eOXBx6rSaZxb9XkNJQy=Wk{{Ju<N6zU{59
zlLm2}S!vpaMMyP&r*UW{^L^9QNVXurQY=`|vRv_LaP&d%Ujn02&=X)N`Q|1ybiI)w
z;W_XlZj#IR1!ZH=emo70&z7<zY)^M%JgM&9m0(P5h57*BH&n46Z%kZAwLDvw>g|W`
zrjspq2{Im>#k2-j6JraxwHUJ?9er`E>SNzShEips_zf@4&Xq%n7qUl*Z`1#ssJ7?%
zcO(Fp4WO`X);9eE`i{Tl%6`Zo{|Bw_?)B|&+m<GMY;B`mKQF`e<?Q_YypsuIYr|<S
zk57d8y?lKEw$#^yUxd0Is0cU$>Ix3&TwGbWhB^C1dpv^x?tqEXBD88)5)BbV>zT@S
zGmbSGEe(Lda9|#{N}2AoAFWZjebv51*d{XLL8M(=Db>=NPaYP!BzPxN?(X*KcOrul
z#>f?*?(XmbUP!rG>Gp^tb3}n<qkzQbO(2hke23Ot1wkj)kPD|HRj`gNBv^Gy$B`tg
zqu0;%X=<1gG2Udv%Z&F(*N%ck%s5&_JwyeM586&M0=L>7F~`-Q8n#`-V5iH&o!O#y
z=li06j%UN36ezD*X<<>3E^3TU0>llU;ZV-4I8rl5KRK^R7d}_yZugyTL)d^j!<*BV
z^t`{Jx_}yuYBr5C3jVEGP{}-}zGGj<+pX=R;CGIg1G?1{kAAL6bIx|rZd-3;QfGuU
z?Z|=5&W)TJ(?16XW`b=^#~(1@awQ#GU)O-DP~cob>)&l%^CCUPP08OEkB+YX`3)o3
z1mGR4rgwM9cFOawThftuku>krk0MS%NqdxhbAk0RYD%rLUpuG)qpr;xeyy*3qPG54
z+d=xtlm|b1b(*-&Kz}@0K6|C1P|;~V!fzI+dd!V9Y7>N|1yMxf?Z(KU;)Bl7ohgiA
zUNa1VFGWcwv$;Fb1pwj&3K*RH`JEJ0KriULKlJ7n?o(U1a`uWs*HRfu34a6z5t~qG
z0s8R)_N>tl9-f|biAW^+(4fnqRT{INrO&O!m;s=-lS2CS)zvotH^EQ3W(&v=isIEV
z4y4ULT|L72n&T1(VB^zv7XyRdanYueT$r!*ik^RDaqS}<245wZ!^_U12uz%YW6T^e
zfn%N8^^Dl9bHr#y*AP3Vo7a|ZW9kYg&O+pQ2Kzi)TUFJSxswMlwE6&MYqQZy^ZUv|
z*yr&ah$8?5r+~g1YWKZN;{)M8Pu?CV+Xgu$!%qDR&}QfQXZw|p#iL~Y-Nxtt^;vVT
z1MM+y`#?K*w_n_4CD2C8z-(GUA#D4{;dWCFC?F{zOgL7xwBJ=lz6R--iLrBJ>Z^AB
zdf*Xt5!>sS<nUw%KdOga1>r50g^w&KZ*fq^7bS;5rV#Kc`QdjlQ89;BxT<d?2MMaI
zRUqgM@&Z_$t<G!H(~8yZIw`F+1`pXEq*CgUb($L(e|P9v(ga}5|M8EruttN4YY$&I
zrAD+n?PMn?t8i_)3TBtluAXdj-ZWY<Y2p-283Bo5jZ`fmpJ9Vw<J~mvM4ZO%f0`dt
z!N)^@we5oJudI{vP0k4*aw7CpJvNj9ge7}YrK-LH!c-1rM8)DLlS`bQ_wa0M*#^hP
zthD}Iqn{OA;2<|{yzuNCtgMZKiY(v<Zt+gW?#^AGoQ@i#@$gZvA4p^0QXomH%BfJf
z76j04Qh$HtLpC4;$b)rH|A5uP-8Co7?&tNrO$7r30}(;NTN$n8hwPj&IY>#>htu(I
zu1Mob`5F!IP_&lh20a%BY4wj4JqzruO{kpPGdff*Iu>T;rX#vM@aRL{etw6!X%p2@
zrW@yO##6GX#jZ1ddyG<Oa0^-TYbEtpJucd2?Z?j3zj{<#7ux`CoRT425)c3tv#oAq
z=CZTPy5o-_Q+3PymufQ_AbC18-EcY~8#Ip|Ev(A(Ej}GL?c$2=j<iW9CA=^-rAyG1
z5X*98L#xA-!d<zxww5n*nm^_Q&J#&}H_9~z(P|Z1jV)7zdL=ZRvfS&uPmB6PEV0Y3
zzuvO-Yx?FQxmv_$8G~-R+eIt^1H*#io>Zsjbg|nx`w?~=w{FD9yhKyaPQ)T^ibYj9
zrh<n3pWl0Su0E!{9cD=mNz2R!dd5cLv;DVy^|t*!9s*QtqfQSN)IqX8Kgj+7?DM}n
z&(%A+%>6q6kQliWSQ^q^o6Ue88|l!PvGoxFl;sLYJyxu=42-RSUA_V{AqY`lU($W(
z@h2reY?y`yLouuzc>);M!?IagEOgUMe6;#}w>qDHpMpkKLY#a-jA0nnF681<CC!P+
zob<<bD+0=l(d}0C4;?RPaqM*-lNz3{?2`>^_K&<73^PkKK%QurMB2A8B=WfV4{+W&
zBzVlTzR;7>Iow?x*dv(Gx>_Oe2b;A_XMckpSg2@pBY|2Q$UZS|%}Wy?+i37?@)@_A
zbQ>Rpyju_Niz~hVI(*-(735aZjHer~$^(LCAGzf(C#+t&$UM}~IVoUHQ*Eh%3V`}*
z_Jx5?>PvEx(t?NQvJSiilZ9DEHR-vxDxL&kwKccBU@6hX-dAm0>B=P_b`3x`>c1OY
zYf@025btJ2exT?(vyE3qab?g9k2xTciQ<?M7y*}JVgU=GD2_sEhDlXDreb?;Lcm(5
z#_mKPx*Y-eN6Gu2JzYcz9t2(1ghOayy)dTOac)hm<$9ZG+hppLr~mPKrs(Im0}57v
z{^w!UZYnt2IBUCEOY5_gEi-c#6O&G96-<>r=1&{J_uyqYI$ulR7Xf@+POfj8R(z^%
zLy~TV7RhL2T{ge_bN&IImQF_JqoOPHXE*MTw%G>ArdSFs7;IY_a)?-HY}rVq&{s5=
z%~RY3g(NGA(<QC|ptWZ20g!FS&9PIyAr-4mXzKtXU&;v(=m+&L2BY-r9GGJjxS7Ce
zlo4h4n(;Fy%jgsWS<g)%PQ-Sk4%bDu!h~j_%!f8hU|{N-<U!>037eZ>R6Sr;+T4O&
zAOi~|@o8yk=~d%(8KUyDJs<>-Bd%X~)UN0iEwg#;GqbV%FR9H(Bogil4F$%(KanoR
zjDaQ>*%0L{69FS%GX3R57yl~q&_c(uy8FBC@TD|ea3XS&iQr;A+$7|MS3y5W4+%u-
zB^5C*o3N6?6_(`bE$=<fH9!ysmnWsvaF+5}H{!g|j&9`@DBTP6K~1}|@h9yZw9bz`
z5B_8_iwm~@)|YHb?|4zYK*mu3eJ?rrLva$ITe<wUZCBf!f~|9s=K7;Tp0z27$5dq2
z2?JW}zOq7qlo>51wEL)OqjF%ic7l9TxA2En@_|ex#FPlOU`@9i*{geGn>=WxP!9uZ
z)EN_&OYDL^NAa6VUl%;7@w$DnIPA<gb4Z1o1ixK1&y;{nuoU`FWTcTKaq3FK@XvA!
z)_>fayFBrmG^J9Ui*bv&l<Ja{>|83grmwc!D{}z8D9})%5c&7(nbyFD4*lFS3sL{c
z3G(V-<iU*R;MHPA02Qm}oJheATZ^j7M30*nBq0y70|G0znQu9%)Uuec0J@0I7FGt;
z2eteQMoeO@yHW_@bMPiR+gF`^S{z*$dazC12-5P`#Ich3WDuqrf$=n);&8%2f5f^6
zeOe`z5Sp+}xW!Rkii4I_I5}w77^<(oHG2z-@7m*TC4u_J?_;COCm!TMNk*;BxlJlH
zfqW9PC>~*LlcmSK$z((}sdO=yndwN{W3m-&^vLz?va@mX{VXno+OJG=xIH9!6leOU
z)KKJ<nEV6z`XmuceHMyb5f?)oZ1o3IEIXk+ls{TfFV2fLECK5NC-On1ft$Do1X_9&
zEKZoW69O~4%1YOZoakt@>IePjm8Z9tqp*V;FHg^vi{4-msV=l87ODDdtV|&QHn6Qv
z0wLPFvi0n{_+3m>sjYU2OkgG=+kIH{wgk?*8NTh6Q@2a4oY_v;_LAWYsJ^#|Pq4V;
z*jrK(;r~VG9#GqA9tpP^OGI#2^z5|gY;SES7lyJ~eBev4B><gtdv)PC&+shDCBZsD
zmhvpR;#LO`92&m~!y0N~8C{Fa`o4VVl7+b&)A1UW#)JIXEt!6LBT#_{!a9<RG5QER
zQGY-vbXgNl)AY`QQ6suwzP$Wk7gXYspf4=?OgQAVX8WR=#oBQFaP2ePE};;(TQ5#3
zrEg^PQCOI{vFfsx#g(>lT`rv`!)9Jx1@};gMru&Ey7|#pCwYqSk{Ei?nKC-26o-65
z&%rH*pj!B&>_S})OW>TY4;1|e!84&Syb*VYECa2jIXkTp{G3eBW-q$jy+ErtYS~?|
z7lY#KHAWmk403nM(_*@$I3{jD@xf-2PKvm|?N3=pf<T&*DA&Kc6Uj{Cn2^2XzqyAX
zU}YeVIfY{?U<S&AOm{ZV;*1|FLBYC=F`*LZcBEzo1e@+U9T(7KtydVautQxwn1_hr
z{pCITEVA*n(`=4S+&V7DHA`IWm$OLuXI%-<mtCm7psmxB%KMG8lVAvtl)%@#z2j5t
z(RJX0wke<<Ltu*Oej<^El(H-XUo{iTB~^^8iSvVXH-!qS3@b%PRM?|NV^eftQOLbO
z12-@-ef$HGn!4~fy`vh>z$K(s%EP0ggLs1glq`%@^?S9yX6e(m=KjQ;y-)@M1|sfF
z7opke);*U6<x<B_L!;P(wk2DUUlhrzqK6U_cfM9u2<WWU-opu1$8y0Df3|nexX!kq
zfhFw#<*5_EZ&nTtf$H5g$X~P1;dc(?cwGOZk^Tb9?Gz~z+nvkry#HVN6E75E9}=i2
zF+!^cMS?^_ox%*>-N*sFh$AX!>O+W%DUIuS5s`?#!P3hZePWln8&w$Dh62g5X!e-!
zuIp%U=3ifkUWX^d#EjFBu>9}uu`58Xan%FxB)}7J&7L=RN`JHy=q22VhTxon_#)9~
zM|15n96Psq8XIis4pw!=W3Uh@FEFFWi4>WNweVt4%&TsLxE-N)=lAx0&s@m1rqU`N
zA^2-}L#h_$qNZ^WxXpYxF;Cb4*s6EUFR}n~;5C0*!A~)A(msCZv%5L*c+s?#?w-<B
zK}nGYNPa9?pcGQID%o!<ICB)El7b$l8|H2+=l_bj;(_?ZDQG~ldAko7a&cTBsGl+h
zjz*o{_x~E7O6n7`mfrpe%&O{LO<wf8bT`Ic5D-O4O4NNAAPmel)|_OPSPg){!s6mm
zP)k69$51}aDZ@(Q)&+nmrzjCMzwXYm!f>?Qc%@G_ZoUC|*FK)rvv*nlB1w%x)9XcA
z5Kuk719>QpOXZ~i`yt0Q$F=7ZBp&ADez<D6x<~UPsSO#dQaFhdjWhdjbxI>s>l4T2
z<Bs0#-!7xAR@L5CFmInziL~in`7e{8XbveN#YMv>1v^f&d0`X8{JqS~-rsf{^hUvE
z_-c2lyB~t`#$}<jvE&5=*@H7M<Ed$oFXGZuh@B!MWb7oBUYHN=rp$d42+*bw7bT(E
zc`bP&l5CLW8dfnlRzj=nG6M8rkhwRhDV&Mi@Lk2?_IsDJ0ppHR%+p6<Cm>t!Q&QlO
zPjX35JP2eM&yk{38iHv8Mt_ZKg54LaAmZdub~R<F3AK3zia7P0c6Qig!3E<K$DBmZ
zREgEJ=>(_rlA(FAyC}m_o~5#EMCDw4lOs$36loz$05A2C7lSxc3PFT=Dl-fs2s%25
z@j7!zdt{{Vj+T~ohHlHu!6AD2D!2Y6WPuP$x9lW)dz^hC8jv&Hgn8}6fI0S`;@;oY
zR_S_eh0=v$nev@0I@tjMGLI9%LR%%dcCOZwFD|_;ZZi|3D!6yn_Ur^I=0tQB^CHXQ
zeXMr1V{jnjP*-eX9gu$_YGZt~Mi+ZL)~^7jPhTye@_st*Bj|^M*v+QdJn_ryFjkJS
zzFIjdm#Y(!ks$<VRyKEa`8N4M;-c6Q10qaNJU!Vmva|hMP8X>DBL~ln7krYvj*07c
zq9B36N^bhib?5S}{{bOt?DHB!v^$E$pjXd=qsB;x=EHCExbZQ5R;MbP5h?I7M4=ZU
zrm(PXT!$r_0|a$oFfx4E4frEhG9TG@Y_VqX^E$Y3A&PKn5<5H8typ%~5W%YsSN}eI
z-t=HXJvYRU!qK9mT0xuF3Dq_<fDV{h^*V10bxj#E-jLJHXdH9lKGFSr(!~C00FKgy
zQudILgz4x#iV^>jGser(OlNs&3Kc}`K(@a*pCSQU!Y}`4<~&Ct{|hr-?j?t)iCnQN
z(A?56=gDcHQp-qT7Br4CvP?0R9u~;KH6yJ}i_38$f$&xc@Tx~nz2D+;bL{N+PKwPy
zsDn~TzkMkSGYQ!xJ{8ufpd~Xscjc*&2U-kBG_}|$hW)Bq-<YpJ(~Sp7{W6hZa42+1
zpZHQZGs<g|K(NP120{&xNCB&aF-UijQ~mcDj|gfR2fyMaXJT^ht}8t~JyG{g<`+9Y
zRtRP(>6pslOAor=;fI(cd=)SqC!uwdZxfdFuR*3d+<N9vo9{H(W;p4_#tkH7F?9ws
zwj~zKaqyJiq1lkWO_W$Gtnep53+xI64U9-}o&NqIAJk_qwC)o1kysBEw8<M_j7kLu
z7<P@i?<N9W%8pF-$=;gDp7Z3@GU+d`?Xe$Z9Hv8XCWn2oe^^X)mWPIh%&rp0%`xM{
zC?6%LSeRN$JMORmvjG_j)?!6kD`ey)cq6U2ub9|HAuYwk^SEc!*!c;=j{9xyAV=H)
zs6pdZF};cyWai{d&sy-m1C#zn%z?YEd8*$+;+O#SLS$1Q%bfCvW^mJo92e$W+XE)n
z1(4C$g#J%~CR>SX#9Jb!T<WJ&RTGYiysqg=j>2)(e{jlpW(tLK*SvgzzCDR@b`))@
zpUwICKqC#DM9m)Gs(5&3#^`OrsUN+!hX0Z{_NJoyhPk1V6OUpNOgf_2U=G)a;F$p*
z$#O>=a?^wCQU#{i4{8h_LU1nJ^EF~oq^Z?atrrK~YD5LLY81@R&cvi3CX5c!&iVCo
ztSLe1-v-+nm@TLBzQE7_`WC&PX2xwjoh;$Z$i`ilE%jN;4(R$*=5BOEs6IvUlK~Ym
zX<o-Ya2IRM1BsJ~DOs*w`&ANGQ)~zbzIp*{@J0%by-BQ;l6~6Y!VlR$JPIW?O}u_-
ze@q#LKoVPa<~)YlE6(*cxHV!+>o;h(7fugMJq?%8Kvq*`jO>>kS>i(^dvA$*Ch&3W
z8wG8aPEI!yw7FAh9+BA7U9@-tku>p>+@KE%XJwno^h_4s1Y7&ozA3*U1<)I-!;u$i
zl&(niNAx7%9J%70{YH*#AV|e8#Y3d|!2mn{>SdQNStIHqp|}I816o3y!gNt>x6mO!
zJpDu7WSlB4d4j53-rAl=D*F~+$Wk8^$l^~4SFDVz2z`Znt_8OX3^CY~zQOJ1ASK95
zh5!Ubt4t!3foWC;ZGoLLFN>`gTfyQ2uYwB|FuEjgr4VKlQ~F2%oIXhD3~&r@xT%V#
zPVQDMJ?N6n3#w**vr;pkHpW=mD#ZE-lCT>E9wu1~2{`Ks$q=v;Lrfuv@dW12>e&C)
zio*{6WT(u?$Pl#pb`8*I2D1m9X&1L`MBx+UMnPUpe)PTZWUR2!UdR0cY{_yD20kh1
zWLZ&?FIZ%TFpDguvu##7vGrAc|8WBn<wC4blg_PW{li2ra_O`gUB>!^RV7n4#41NS
z5hH7SIo%0$S2gPT3k(ps^QL3F=|G;gky(4!$+!82<&dwICncq&4jW3P3nzt6QJ@+Q
zfoj3wd2F%rg+&w8vLuV<+hX=)IT#w5M2lj*=`XtIC;|0`tg&(w@f%kZ>CcPAl<b3@
z#T-i9-8};X?7O8dw>UOSBNfc4OhbFuMT2r%Dr+YYx=)PB>&<pr#G@u)?0AQb7KeWn
z9hZ8a877Z7xnqmZqiCtcP~0{DNMn&AAtNS*_>&D0Bnu%X9n0?Xw>Ws-;Xm<`x@m_d
z{^rM#J?FmA$qd9r(-k9;dm2is+@NV50fAKm@jfMTZsqW792IMq>emS1$Hdjk=J&#j
z5o+Vy*(_M<TgTflMS@I^Z7%6|Cm=9yswz?uKY=Cp(^`v&kkAWmFJ!N=(&&Im#dd-a
zHG0@tK?><fSKBQeJEoI6Eq$a1EkAfDke*fu)E>w+!oXjIMh-n!_m3vy!qGENddJ0d
za9Lu5Q$?<fR0r8&N(6R4kA!d)m%&&n?|QN52L=1jfB-RGDeV20k(_av(9RY=QS{ex
z)4tK4aOB=D6;M<%QC|8JM=phP{NDHPlJVTjdSQac%PpTj*L&|l%Mna9{IilW=&z8{
z-172rdheR67mQYPq8f)w>&2Kykc|QJY<e~#eKd6v?9dMwC<4>EC6kAwFZCv<ps!3m
z7mJ+<P<>zEU!(5OLma~6J!b1A%2ey`t4&N^$?lV!fnABHC~2sP)2uXIEUCx1_K3Aq
zt~1Q8zT5cg>#LfZXfy|%QWh8${`W5v*(CHp>KJa$c(#DEu@VeOXrv>pUEG7bMd!)`
z{M&h6n4Hj-X8xA?{CZm2<DIldg?e;~sz>`z)pd#0mTbA=nNgosW+oE_3e5vV=3lt-
zJglan=26Mi6D{Hs?fg|->dwMCMtri^oX1volrcri5o2HHm{I@|m<~b#f3jn8<xtzk
zS>W9Iub!q3!w8qZZn*3IMo9ev82ktUD(I7t(m)HHS!xp%ir^6MO+xcOPF<ed6jTm~
zyZRip`Pe?V(z<7us$2OPeidK=vzUWFvh%l@q@nt70t=>b#Enm-7OCm0C+z{nG>k;e
zVe#_+X*cC~RA;4rJjBna;<x1Gs|N=WtJ!UMRbv>AsTt6;=heFvHH#9L)ig)rBM(YF
znbvEUtFwMqcl7pt-n$l<PBwy*IsRtNwGdlQqDDEIrnPGFASmb2_1hUnT6<DeE8p7G
zzi%W;uZ3gpGnOk4A~Es|3|I_4=?Dw|3r3pxW7|<Cm>L`t$5WkOM@)fDp1?5`lRg;d
z5OI^`_*t-7VkUt97ard0`QxeTsjukdHD2_u&BWiqY2ub2gB%aAsAPn@qlo`tDSwQr
zClT@hR{5?o2mF^(*?9IP)!ZPr10^w0+eI;`XQ>eyfXHbKf<!Ub#r1(~M$oJvsAQ)e
zl6l!paLiyOp&3!91ZpYsVA0kX0&JwhX5Nt~!8TDf0@`LE%DN+IoT_}AxISq%Ha7O-
zgQ$kQynIl90GYovV+=9pmLZ>`y&MCd26pPG7cUc3ynG4W|8W6Akqz)9L#Ft1j7=~<
zQRgR4H;;}qMt7_@qIS783Nkd=vM(P=e24(UqM)EawCQnyww3e%kHjM#JubVhyCEV{
zHfu$e>4=BL2b0d_r@ZI70E5e#eV#gsPOJL((n@q3vuxTt(uvri6{m4oQ;VScZJGG;
z>=Ds{+M7a&0inFRZjUBq^0I7#4Ntc*dlk)t0b5;n*O_QyS1lG*4rR@mgu79x^AiDj
zmlzHVhIpVB|4YacU&F@5@xW2Tq5zvjQJOj1=?k^C$9KVO$L0p@k4XbR@T=)9o9omY
zEvejo+@L<(HO)~uN~KKtF3?#}DyxahxVL(*mIkK<v<<9-4pofzsg)Jv_H^(-M3R_)
zUl$kEc{7t$4g0>fSm*$RBK?Moeq+o<Qc!?YrwE-v++5Yx<PH7kAdf<|ZV1mYPjsyq
z_hFIv9)SaRh}v|5NVHS&`Nv)}|B{BwAKs_tsBmyX5OVb<tvBku`aL_01Bf613bEgD
zA{>?ly@H7`OdMB(McNNUXk0Q=fo3OYrDJ9N6<eisg9H^`Hi3Oacy{vSF6+*Ot3ANn
zD3V*t%6Hy-AA1gtd5jRa3mdcE$Ac$msjRfLGR;cB<MP*Bq2XaTHa6DPwb)-cHC9ub
z5H!#aC?eZs`CYsd(lz05p1XpmMPZiRq)};OZiara*&+W7eYodP;Sb1>OS?Mbu(Pnb
z9x<<p|L+ulS>Pt<b@<bs7~O85IEe!!GpFug@q=Rm-;&Y@lV%LPgme2iG+Sy|Ja^dH
zeu_Lf#=*+fx1p;i!G^C1vsu6Y!u_0|k^3xNol$%lr=Z=g_UZ+AONC!(>45EHdrwae
zH4<zO*=S^Ymn3cW&;jF2<zZSTCy0T8D+Uc@@xilk4Nq(={g)deM?K3T?by+qTd0kQ
z`)eK1AF;znAH&{Gjz*R#{HgP<3a2`H<|@{bpa2}35ur7GJ>5C&W^QEvXs|OOFkSfh
zbr)x$#&QYU*p*gV6zLdEVshEB3-lLoNrWNYM6W(9hL1N@XvYG+aonu=#plHjFG1xe
zQ?s+Rx|)qUPAg=A)VR1p3PS8-nJHohqb{cS5tI{m*L9=|9ejumQrFSHv>VM6nrv-h
zNF3}Wt|PMUSlV^MY(~Il=dD=bjm&nVF(f@#PotxW?*#ZJ-+xhCvp0w!@IaEt*snG$
zQ{`}4B4s)>bioe@h@pkiyNlK3Kj|kC@Oa@EG6#aSQAzW+;*$|xDJeOT`G$ijQ`Cs&
zhlmxXF3{OVf1!F&6lUmpWtz_8!+mlOJ%S0{$YF2Szr3FVcs|9&#r!e(k9}X|D?6M3
zrlhH<DSc!o*r=h+8Tc7CB4)sW9k+xNM~SI1xaT<<_uk!(t(nwFl!7s8^tdwh=UDjv
z8$h2BM*#EINz29pS`F+(3(j<fSZ`S&rS$uv495mVsn8*C!EiMtZiTF@n3NJ2B^4nn
z9z-swE52_ID<J-j_Ql$uDl`&F!5NmCzmk6%#5f{A#?t$d2+V8WTQ|O)t@MdRL|@kQ
z@$+e+!-h!@W~<)RFa6#P23!RFWA!dmfsQSYH}P_vRL~SyD8}VM_hY7=CSB)ny^BM$
zTFqGBtW%W$q*!%a6$uno?sfE2a&J2lfYp_+X84OVD;@0Z%L>C9b(5oRB|l!ays3AL
zf8)~nd@4m1*?P6EZzK&nORp5SG(N5>uuD8IkTV2p&5Q(V!f0S1%-W<xszZe9tY22m
zJ5P|Vgph>+TtWII;K3-BESS9H>2b?KBSyd!nd`V8DD`%GS;~rvEVh282gX(LP~mk@
zATb5ZnzfD3@HW349t^aCF~S6nk|s>-es$vnK!r-7mXjCcBsdgfI$v#fPg}amPRJDQ
z!SWE92ALvR>I0cC!q$JvyC|5b66(C1JM?)+iUcqM^E4|@4QmkyX2M-B*IG`#>4_^q
z!^a+${Y$wPc3Lf?OdQWruju~fq>?p1hd79-UWHxXPsde}qx@T=n^}x$7ip|UBs_y>
z*lq5k&X?$>OE6{Tcvd(}4wm4r8;OkPAum+TD5ccYW=ukwz?k%t^vlQH08`C^YEes^
z_yl^jlGLNacG>9j1uBM~D*%KWs3IA=E;9avXNy*~(bbv0$~1zh(yosln1}wNyhvK7
zBBX$`D~5tLM*BEBJ)N!0@&>U2ITN$7vOWV#I<oEcG^Hzs)JYs1oWg`DEd1cPhC|4X
z5D*jqcuKF5#4@l3j~%(H%h~TmE!=xFThVT7{<x9lFtALPwbQE*yqub8^vx+veiW?V
ziuk4#{$q;f@HzRfJ!>ixF7k;mmKk&6c%C>f|EQhDGcRToaV(Z{M*eY~Yevso-5kf{
zk>p4-uXC+l>TTOW^(s0SZEwAdEWm{?Q>QmS_x`ISv}Hpu`5SLiEbjIt#9s?moOo0+
zD9f4=X?jkwT2tN*4J4ZYP)C(Y8-duE%BB0gpvHb<O7uuEoEo+I!{Co~pg{>|b`h-}
z^PLuljZOK-C)V{=)Aq;~y+&fWVuUr{!{P#U+8g0%IFN;Iv^Z~Xm+RGfjEKC?Bg;ik
zk!T~!jQIsM`ryy?GR0wW!R!&=9}zS{nM}oMLP7n$hn0n40M{!g<?N&B&=nm}=3HDF
z>=cbTzam7M-OK~VBua~PUY%0Y{e8WyMm2Ow@&c94zw3;Cm3WpQpjfQf)6N9>pQd*I
z-rBnL3)(mNsHL2h^*Qgc4^VGOs52%{vi16!ng&)a2H*#yBX?-#KMS+W3`U%=Aq0ub
zueIwt0!0m|=C~5p)fa93p9!GLpM`%*skn6*dK>+_Ok(Ctk2>J@V_7kq1p_2P_#pA0
z4i0t5RBGzYr@!io{Y)fM%W)%-D~{PUu9b^4glc))!i&P0my&6xerwX`FqcJFtrN#8
z7pcoj=r0mQtYNtVL80Aofq68QEGnmwlrA+Yp$+UQcw7Q_cc|)5+1n2u78b)*Bx!Z8
z4oZA%l(Chlv87f2@s<wql4|Se$tRct#m~`kCi`DunTt-T@3+=heJ+0+$0roei*<Jy
zm@TYX^#p1GkMq@$k#1+-I&DNIv;VZ$W-U#>f3*hu(gAuMbWWu{E7krW#>dx5z}YCn
zt_C={z}|ND-|Ou6=Y?E!Pp{n{2-|-~_<$X5XU$93iO5yv&g=0SunukA_CA|5d~9%O
zx8Hc2nwr|!`R@_P-N~unI6gjpw>OJq?HF@6SaG+qw0w6(JAdci8?$?1FSp3}@Ay4+
zAM?}_5D~c&pUlg%z1^37^qax@50I9u06gaj+h*I1$Hm3PNTb(%W&hj6UdJykgs~>q
zhvSKZwy83O&W}F;+m<k_o9DCI-hkAn{4i2Lnetp(S<_)_X*tqzp;~^QklJ<l{#&hC
zeaDU(_(A1=HFk0b_@m*Ui>&jTGb_%oP7UK)^_2CsVGcAf&wLZj1;*o?6P=U~(sMTl
zqregq3$8ktBE_mfvU|s*@##~cZuRBw3z2zI2xMJ8^z8aGJ$%Y_^;SqEWAen+Z`W8a
zOPA2wx+KojNwi={8+*!y@(iqaz=dYXhD*U0#$gEdkhX5<4SDj!Lr0Lr`0U|;LQ6+S
znrYQtX7n1rip&|5%Kv!tZ~kN;ApOZraQU}O{SI0J5R~Jv;lAZ2ctLPLeKY>>VZ8;g
zG6fQK_N3O>aFbN+?Ck6dHErzGwNl-7=~__Cy>M+P@YvR!2E^#aAsKf+&8VqAmmg?D
zE7HxaAx|arQ6djsXE7$c7kFTAN5*PZ?KQP5r89CX0pXaeka-JxyDu>iAt;!}Rez!=
zK*$Sr7k2Yw`7CYIjCE@du@_rBYM~luSO2ZP#Y3s2tlX+wt#Fr5pj$3M62@2yE3l<K
zG%nRSh`0*~NIJJth!Bp?i~3zn*wel!O8<IM{1;zT6w}~K1#Gnqo;<(mga&;i9gSqd
zAh|3KkV7=qulanK*lgQCoz4+FWZ&OD9fJ1U#u??N<j?^fjLv=ommnkhvj!ys30c~s
z<2!%+YBOW-CPz?$PGeKA&8#d=TgTZv2!wNtoG)l^AFVu0Yt0~!SpVUT3>97+(@P<G
zoXani8{joAh6ADs;En}aM159SC7X&U#y>d@Rn^tax)@%Ds$-w@>@HeJN>y#m4#@kY
zLnQVFDkyxPI(Ob(hV&SY0ONK*e+-!VkpcP>wzvPDdTW!smnsd5lQJ?h&mO#=HeF|%
zR}5dG0VXJ5wprU61Mub_YQMi-wC<pTmTVvPBiTfO>71o?^WCWE=>4gZH@r>QbBvZb
z0OoUTZS6YdGvGe~U<$C2_y}lI-hBXjAF7=ci&d4!*74p=1$XXpo<Mz@oBDv}ZRh(x
z;HSHMczB2f%mnpbP~n4Cx-Z>#{?2%UjD3Ay8zx!xjEw#P0S5O$WUssL#$o{SIJ>h8
z%;fK{eC7Yt`Tk7%?7VC*U~rH4?x7fg0*D;j_Mi>7F?@GnJU5-gPQIzBsihivp90jW
zcO@j?2m12yznfU6p1;R*k36}<zv?;npU|bU06Z!ytE;TZDb{D)u>O1PW-p!JO;7sU
z?Dzlf06iqWq4V&E_kTZ~uc@)7ip=6j6seZKy*%~q!m+LPe*b6jz0338-IM)B%SAyX
ztM{fo4Nyp|te$XLQ$#klKd)6MZ7B#mG=a5!knw?QINCNvM%X5lPkCTAD$!-8ajk0V
zxN6G>_<F#9>L`>-4IK|j<KPVM_7AJn=2Ak1;<y(kAA9uqJoE$d>t04}0N_^R;o+@6
zZKHicr}>2ONj~!Ds=4!Fb*-wITC1K3*h7$H=Lv9d;s%eABL?oS)|(+<klHuv7OUD=
zTGD1tW5=)9#yB~8$ueWj(UX6v*&xon7j#IW&Y(~WM}-kW<Tegwj-Zsiw|+}3nv-fu
z=41zkowz+^<1{K5&`6qN>m<Q+aUyU@DV2uBTZ6vZ+xcjo3|i=H8Fb&%aB*?@JY52j
zh-gP*KPM3AJm8<ELJ&NkpJJrx7RD`;sPjMmk~)v#%f_UniAr`u&<&Ldmbq_UTF~t0
zv;orAfbgdchj!<GO08TL51hhCeFFWhOqWH{sQ!&7Va=-sQJi14_;`38geG4|j?+E0
zDJV+B=q03?p|(%pBy2bmqSC^nDa1gqXqzQ{5;Q7QHn98F%n@8AW-82L43-Rg8uyHJ
zO9>k0!qRVwb{S`1X$9(qx|}#gIq=w~rNS)V5V&qeY?E}OIQe_NJ32Zto%8FTP2ReG
z9Ce`#U5Dwpa&m}QML&a<*?wt6u68e7*h5AB`zOi>^@KJz_T_DG+VXB7=l=byy{7~6
z5JpRep#z^QYkLGE3ZA;J{G9ynGI#Dv_<+usSkSF(%dz)}#R(9b`(Fo@lD%vLKAVpl
zPCI}WINNg@7}ET&x}REftKaQmg8Fwm&T8zMbqBXZAIg<kn3?t6mo$I}?rGcS>iyy|
z8;x;rbbL4En6_+GUR=k!`Znvc4On3VA(W)RYXRn!Tj%fkvr?;z?lXg{=NZo)wQ9}Y
zyX-5Vmb|NPcJ}v8yAA)n8}=?J`{lsz+{Ac-`c6cj+PToX4q}8-Qd3V(PJnw3->7f$
zC8f3N2uRgAe|q^8L)?B=(+LPn{`czB(|*8(+yi_A>4}e@@YluE+c|!(>s`QU5EZmy
z=yUPzVOHwHKPv;FM+`J!%{}XgIe1M0EXP!;HGzUOh=g|{oI0t&m>mBkx?j!?Mg^Lk
zkr?8vNa)8*W!-46&Bs4EkzlhesxYZep5;viKECE<%ufn7i^y>gjqR%symX}qW*Vg{
zorkO9HSVz}6Zp4(UzZoZN@_>qEO?l?a-t*UQLt=pMiouJ^-m2Vj5nlXhFc&+{Wyr|
zOEvEZadGwLEmR*!TWv1=La(5#Tw7B^`uE6S&D&vg9tjqbSTx&a+Qp^Gp%39lRwJm{
zx39E$@q=f+?^@Pw=HWRTp8N3jC_wiovL*Ap-3u5m3XK*ZRulk--LUqh=VO+gPKpLS
z?)>R}z1e6(=F^POmMiJQZl3iB+g2~&l88C?_Ox@A`={5mNtlcTn^uY%mfV<WIi>`B
zbt|EqL~D7RdzW>BieY46u;qIlW@Z_LfL6^@hFLrb#*y&K;oJS2%uiFAo5{Q*Wbs0S
z1?m%vEEG4%6DSWzJWgVFM4}kFccrDH1G2vUM<$aiXOXTMHB8)z(D}?T+nbGmMI!9=
z)paiqf4S)9uEInT{9_AKBLoj-orGjeRfsn$*g?kwdf%{Xabe53`Ik6E5F1zLGpu=(
zteEJz{&FMTV^}Yy^Gn)O7u2jkhm{&Qj;lnI_920?1d->fQUrkCjca&1sjlCB`hNeZ
zR9V2bS@)vvAD_cRB&VRyYQ0HVpoHxU+0|<Of$+yuh!ypl|Gz&s2QnYEnM1AqB_nET
zE&Ltm0UEYnfmx2LudnZygJ<u{R&_K0)V|j`ECY`<i}yQiSr{NMC@Ct2n6xc1zm3IH
z0fouk;Hl^3QmD}HnP)}+?!xK&OG&2Vb02~z2=xABI(0uRzn6L^zcW2D2lf*u2fITy
z@3~0e=_IqikdaE&cNy;wLU@<|^!%N6f)9W}K-ULeE~@_hp@`ige-lO<aTXR4F{oX+
z0$%97jklY9Kkk5Snb!ZZ%ir0%Ast<@Bf#zI|FEQG<hkWudNLpT+!yNw7}n{n^Y&`k
zZ{%cWhkW8p48f#Ij>l5Y28!*tx$amBi<K~X^(WsyptX*Rx-B1+5Q)Y$x2O_(N6bIp
zC?I3nEd`h=l$fB0MuFV{p7n65orn3i9(eOo_XyeoRuI;ahW^j-K_z6ti}Lk#7k5>T
z5h!(HA`nCHEdQ0Kh#B(`X`tDZ7dCQVF;$pu=aVHTK`|~AVlwKLKSQxYR0^kp)i>fF
z7J4RMbOiSvd=SMTjz%RNB-|xj9Ni3uX>v1d(1hgXoBOZje1}9F`xq#cx;i>GyqRBo
z#3*$Xn1Zlwbh~N|Yl+Oj8J~nws0cum5<`xyM5Fa~uP$A|N$kQ8U~%?^n?cdpdx}(z
z%pM~GRQN&tW%`H&Y6_f)w#l&gpdtiEC@g^!JT4GsC<VebJ8fU`n4L{3Tr_STC3Rno
z22U`~f{^Fcb~g3+-e6cF^;&}A6^y;+Q?gt!VBOrfldOBDTisGT0R>920P2fG{&gGM
zGC*p!ZC0I=QF2m}{-hrTMb0UlXwQ2n6^kFM=ff8LUo4ajh*KtUk23t{9Bdg3IZP4H
z{Iyh80;HWV4Hga*iuglp)z85d=fk~>L>4Hn2`+=<OP>Lub_bd5mOU>W9bGFtZE(PE
z(WQ>FtU=Abz4*-^ShJR)>CREPJ{GuGm^Npg&iP&|o!jou-&-9vG@0=Lad|Y~wwE{b
z=X&i;ph^T`h<cr`*5`-)ZLal;h8W&NXk}e|H3W_hFv+yOw|3|Tm+9#Qpf*4~X!z8z
zBC?+K`daO9!}tA;uk;^2*1tpL{|<NigMhJ-$noz8Uk?-rcy8op7pndAgHkNIfnKfq
zv?LR#^s^2E*FayVxATl=cJAQhv$4jTdw)cNEj>p9bX6+`o=ayB?5I$AD`!xB-N4l&
zn){0bEaE5=^@oRw&ul2f!ox$8;R9@ccwrbzA>0pBFcnVcqd8}~T=Bd;uLGqbF25mL
z_Vi<??pd0BA~j+jGu_yc4r}l9)k?!!Xv8;MsQ4sK)Is`)re(jCv-~gFN}6<{2e5IZ
z_ZHYf&Z`G0xfA?BIZ%l4H}p*dpknTp3n5a_>d4oCaDHt;Z?A>B(8lkBN*2+S0i)XV
z{N%P2?aRf@76hZAt|0C#7)hf1#WE(g=8TynjgzR;Z(9vW<hir4l%`ZU4)%_YyqStX
z>yflIdF}NF2NGUuzr8W%v6DUXvz^X3l$`=V&PeC4o^;-f37=8LgFs^FgaM#0F!FTK
zqLU$%RvmWT+mGsu(oz>58$(cKj=I#?sFd^r^o~+PK2o$t15_2aS^X|ajtugDh|JWL
z)nchajB7t_p<4zSGe#7Igupd=kkjoa;H)VS7>m&G@uG9@s+vuGwd|E99tE<*VpA{0
z18}vV745x@|G0G3Zd}X&n9dtLc>&;JZ`%y`y>k<q*s&=0Ckgg{#>niTiVJQlvqi4X
zq38Xpy}bz47bn|fnnrK=Ak}WlYicZoD1&t%R>x4vjf`U2Pada(Mu{e_&^6mYvt?C;
z2#Uro3gDRWg2ltvOo21#ZEtA-j%6#}UYL^nC!G(cgE~#vC>1X)j6XgJ+Y!J!H;H;~
z1#=jq8eWUduA#dEttL0&$>x8%K^W*EE}-4MA26V=zyWR~SuvUUdwY9(-FxM|(kc3P
zT-pC+V<#so%lGf3k^fP$)_-fcZ)+B*1|H88K=q9T!Y{MyEy{G8c?QBry%9l%*Maz1
zFNwLs2ZXQz@1b7r<$FH0$8AB853N}MuuJ{N6?2f<`+78(+{NWJpNbE9pGAzmzdbN9
zF<E7bl*Vo2m;w|EFo57Yq0IaRR*pc&Avr-U8w!`iut7>h#Do_)_<<LWKR#H#eG^_{
zw{6Wol}5Ip*{O3{j)yU+CCq=@+Ng5c#UlPDN=~et9?|UkZYgI^Q=$6AY0HZ6>;f{V
ziXS>azjmWmfwuzZAd&*wT1sZ9nOCAI!Ytz^OH)#Li%SL@aIUY`l+FjY5QfL8(trX$
ztnt)1pKV@X=&r*#qM@PY8o(#2h<Y@tl~87pEqp0bH5?F3ayz-o**4cX8Y-GGtXbYD
zj%HmnI}CeQA@l`MX_qF-L)U`e>a0i8<uLg3<t<n0f$jutK)&@~V|D<AS&%iAW}%jb
z5C+qFOb{R7F^0lI#DJa)911j%TaH>fOPt*8HWb((MCyJtzQdPk_{xEM(Ulge02%w{
zBn!A^lH;^sSWrM;AcTo5Yb$63sIYUkB;|6w&u9PLjifNr6@>AjH|@@wNcUZ1NVx$L
zWUtd4;@HyjeoeZrKFIL%4_5sSz!aB*!}&RENf&@2AHBQxZvDZX#_F053Cplz!H^+<
zVurNJuyuOp8=2ZDO9H}n$j}Z?TS=rrN#L>T!K`)u2`NM5J5o@bLDlx3U*xxP2P?Pf
z{Ui!K`2YbsfIx);48~Cuk$o|JGO*)gX2`s;_KupZ-mZc%iE_p8JUw`&v{gHCTbJ~e
z@%&NszM}tdoiee$|7xq51mF2NqH=m13wB+hh_&th$Y~@ZM%4->b9m7_1%Sr?UG}Jc
zSB+~4?rFJzasg-*fUpV-;2M8%Xx;MIaA<|<1CG=Cj0s%$wciVtNj(qssLnk)LD$yV
zMKj0FXwZGY99!FUJCXa}ed!K>Rn>G}3WC~>QuIK(@68BK!{4?OT_dC3=iik+-P=OI
zL<~%|CV)S7x<aU{|LdO{V3V1}D*bv07Ptm>=inPXSS*0JQmiVQAZ5oAyo%gMRdCi}
zAO*^Z2z;=w$(?o=A_0+eX5{5EeGNc#Uh|L~;W2G8Yc(`*9OZxxcMG+0CH-RIO7-h$
z(7r~E`GCsctgCPK&znq-7q!-*E>r+2a2}%_m_{2L*5uqW4zbhI#u}>hSy$+jG=0C9
zv~apz70;o@2k+`)eT3r#b}kV3co0iKn|8$fY4HJu(;9B)qgM(KA0MBbJ;9BA;m#G2
z*)65VYWjZy(CXE7B+J117Vh6FZ>e3Q(aHQ%lYXQ~*(G580C+qB&+E-GlF5Fs0IdEO
zXxJfsC@LusdmkFw2j03RTLAdCz9FRx_f4reV_s<|c3+Ti4h8M9YlKP6^0S^CxqPEp
zZ*BQ64v`3_$$!EJ0R)0p5KF2{tQ(N2)q*k*koPtyNUsYTUWch(ApQe%A)zJ_l{%fC
z&k~)Jiyoz}<_A9%H;u~GTaxx5)+Q$T-_K8Ye>-m|-~Dk^8!p@XO_~5r2}h2_pFsOn
zamUIg+9i8-I0gm+#ZM@$rev-t&sC{(;9hF05^PS{gsDw`ht5ZN8(Y5?Lr=}QKtXB^
z`6f7bQBqcvh{qv5hSP*Ax9bs6>3(ltv&Z)qo!@d<f8Fr>+Yg57PPi#u3H6MiveF@I
zl}|)OL@uA~2V~fEE=^?mSh83Z^2e^1L)NR+&Wh7VzIc9te_(;&KbMa;;mWV?1Kq);
z?>J4W??a_gbips+tUUwu_7-R%E-pK-{11qB(q>PL9vf0cRP0X1zmzzF3EKiTy$+(^
z%^IBAk5Yh{?lQ;cvK?q;BZl|it#?s;Qr`OpVA=VO1OcY+=?kqNADW*i3P-0Qz{>rV
zmA^Ditz7-q^FrsNi?!fwE8H6^zQ15GCRE*Mni_#8F<pZL$QZJaj*3;SgSWiQsViHM
z6wxS4Y)$jL<%V4=&op*Sxd9cRJu%jRX2y&f7XUJ~aYvy6lHk30k%w$JY=W$#kOGZ8
zJX&_HFm$JJ5*z<2Eksi)Vq#g_FxXI-Wx2A#`j~r@Qo+E!!<*5uu`eM5brX{<fZ$pW
z*sD=aQRRf7YH8`008SLCOeh~d6KJstsrrxu(ZLLqV6dGrwFX;yS{iu)VA)h9!frBb
zkfP|uWx`9q%B}>#f(A!}{L(LOO#^x9^P0^F7G`MC*ealKDqTKB(;}=-{}#{jrOM(x
z=F=(9&B<lNiyQ_fYA2?6US`Se>Ux5Kp7_wdmZC5UN<m`xl%J{p#|4<tflA!t5c_?v
zIkn}8Z;KHn(7*N~&;1RH2LiaqEz7yLZd^RQur6$5^L_$>BGX|(;M6>`T`_nh*aRuG
zJ_15$R4?!7Z=k#{pK)RryaQEjcM9ltb;t~$&1q?&9rv|MbRW5){-j@&t50ajF(gA-
zKd_)+%Z6c7N`V}?ig1;6tI`6dZoTr32;|LU4uGrLY`o!>{F*Et254L<hJejHYpT${
z4YMJxG~4F&t0%q}-|pk$E-5)lSQBb!qoR2qU~S}&(4llP{*$ivZboSKALd5Od#Pgr
zK1q^2{{$M^KL9fL_#O=sivF5d_t<v6(R%d`p@%dhft<VsiQeH4zbl^|Aa8<@alZFd
z(TT8R!ALBISO6NNW#GO<umQ|wxki{TR0#e<z;VmL*0tMtN>+{HSaHvd+w>OAy?XGz
z*z!>(70Fr(uXG==CezXS?75P2qwi>GX}KCS-M~Du3IOKW&B^WjUzKnM>K%k;j`Fu|
z1I6PepSskyomVE7hSFZ2<vNyd5#yVvX3Rbkd6$npcxT4|l)Cj65`u;B#G(xYZEY~)
zCy(RSuo0=V%E3@~ImoKB*-A7^<lml_s{DfHePJp1kb-&=c}RVIy-M{91nWAJAoJvv
z3mO+W1n_w2*M4bAiA%9iR8Tl{X$N}0G7)x*7Xnfe-jrEayekSD<tH$`WfExVAS9)X
zTw=KiD!tY<#ClG}z$7rirlh==vehY~J?CcS=V#D;L^u}UWql_sm6e%UxpHRNxUHc|
zZYBn=Z4dU6p83X@Z2LU;Bm1TCD?7xigL36s*4<;iACm~D(c4&Y!lP5fR~?<?Kj+bt
zSYh4<Vcn$R5{6`F4H%oah$IRz@}RES+Xx+*5~MlJt?^%fgjocc1!6XQ<0Eie)r~l@
zQ9II*=6)BqrpnQ5v>2>xrA#AJ5RU?HYs>)veMv`F617!UXo;Z0jRd>ER4Qs(I+|?$
z7A8I(rb>s_1JW2>Pn33^UY2YVsIy#W?>N(^=oJJ^fxZkteC#(aJvu|n=7do}r}sJb
zF<O;NJGn=mAg>EMqnG+vzjFX7`}lRYuQ=84Sqh^UIBD<DGhmTpfN6JfxNcYbHug#M
z7Qo!D-mBgAU5=-?J#@fX#|qF5PV?=&rqB8w%NspoXH~wvs9AxrRy#x`3+SKUJ(y5T
zzyJRpF>&bsG4<B*biaSx_|Z0Ox|y0b-Ao%tADz=3(`{y$Zl)Q-baywy(OttZJv}r0
zE}!rHyC1iI_K%hK`&`%S^-SX0hK4zNK9!tGP~Q!f$n!&=u&~<N+6ISt5;EdxK_6mB
zUxg^5v%P(pUiq^OK8K_Cwh{k^qTbq3gqi?8Gl6)1T3!;;Zh8}EK`S2MUtiY{m5DJp
zDZWHp*}yln?YsC7)uaIg5A3uY`Ekk>wEva0^+$n74%9>)qzOV#uKZu<jn!#6;$AA4
z)iaXo8(Knfs1R_eEx7}#Sv^iDm}aAitNS@3h*DiuszaAQEggc(kAqlRt&iB1e9(P$
z<K)}?0cUOyI?gxdJKo9(Dok(s40|1VNL~eNW1sX}Lec4*2^MHZLs^54Hz6tVSInP^
zY~|@0E`NjTwP{t(19Y!im-ZC|6|X!D8x3CFin7O>p#~heJ7G!XBL}{Tl<DgW|8-H8
zH|T|EUG6U?R~JQeqLPXj=mFG2)7A2YI&Bsl{kXlg6h=lwiQ8XgGdbPR84)^0Ek9?8
zh9|Srmwq#=<9@9$Z*2N3#be?$z1aTjOkBh7!k&qa)Z)*|$_fDe7jZO~8y=}bl}e&3
zJ~va^G?PHc3L;v%drP$maE`t94oig=$oja`QX;``0Lg$av+Bq%|GihQ+2rngTC{H6
z_~HHzEVIjw;9AoLg$w_+6g>i+`eGa4MfC^kN5>{0Gn#iuAzlx+>kp6o;bXyAgI;B2
zdHJf}`52_C;Q9OeIe3o$?NvKKZErS-I=#kt=l#H$^y1Yel6dXnzaC)B4&`s#xX{8;
z3G-~*qTpZm13SsN7)!yc&VOgz$TzRhwT-;DA8y}2oPhM?LozT0g5MJYnXu*o{6%O;
zNXY;5@=4hFgQJ)Ob8NDgDOpFHv}?B}T7Vc6@Yx;>1H<_ME*;r+X<Uvj)r3?z0LVY5
zHZLK}_|J1HOsVy2r6Mdyka(hm&CSqPE&8lso_)toJfT<bl%vd;m7L2+&V`PQ=!x_j
z<V@EuTlUIicS5>loT(_iSFf6M^hFjcqkPB476nGXNh91dXGN~eEFE6CHL~?W;+U3W
zpk_dYmjt+>9)md?+WX(~Mbnw*F*SfH)QcZzIm>Nv5+JaQdK9bByZ)twGMPmUVj&`Q
zrDCGL!#Xp}@zlZT#?<_UCZaucDL*+YTl6iFaS^Y8m{r1AdWsWi;2SQ*NwuE}{>X$2
zW395yz=9U86Ijl_(y0wsy~g3Zvb*$^`IY!FjM^D1sy9vPMDIK5A1s-QFQp<AJ-D5x
z@%3|{2mpI2p1*$Vn7~WC%V+E@z5lQ3e?EtrW$y%`mr+X6dtWE(3V9^(6i{q^z*fwD
zzNo|*|HbIT65`*KJ>wzLB)h6M+2*X6X!UYQGXGIZOJCC=CM0@I>O3lRcpC1u_u9pU
z+ucwJ&P$AX>UXMEGO8)mI24g*s;k<-&@l5^45Zu#IxGV*yUH~q<tG*YeRa?$3{I{k
zfcY6RCpS2)SJWGUdt}b$`Rpp>$K!PNNGX3|bOHh*H=$3@C}7Z|)z<6B(ht1)tKg=a
zoeaDBrN<ZdG4wDeH8nLmyJFTBn5G6&AM1O(rk?$K?B4;P<3BL9eOQN|2}9Zdb$v4p
zIu(RZ+RjT#E0$`lROk~0-~E8#_@5=_`0aunW9BFp=p-MdxLjow6;~&n<J>-6Pj9qR
zY;gI%)_eb)pxFfp1cDD?!n^<czG|_JJjFH}pvDYcYc-3K3B|E76Ur3+a1tz$It(p9
z=6Xl|aTF2=`-bnV9A;4L*rAb=Js);w4?l8$$`V;-u*U2@W?djDrlZFZlcDwmGV?W=
zPsp6yfzYx>f?feK<efTpewOO6-05V80chW7jsZYfr>}XMZr$6oe%>f5DaP9bV&&YB
zgO*q|UQxF%V>Td8c(15i4BLXX&ut3XJfUaUTn!4Jl%%HOtJuHLeKyQ7K=WIGaYP!q
zi&2)tnRsTqE^Xnnd;wt5f~YtKI0jJn9P00#$2o284-%Y^nusmk+~0?D);82&f8EWb
z6jO>XEj@}}u)zDAosFA0vYkHbPeyjVEj_BN&<42LcrkPfCic81c3puGw+M#J+ej1D
z#O*?l==FpdxEh*U!qkz_i#NG^F|P3NCokH_>l=OBqrMtB8E1Gz45HLGgiRX?YW40T
zm*Y?us}AK7`P!^rxnYNlU`)OqKZi3F2y$|A5*y@cpSY?fA5EAnVK*eV#|xCW*u2gW
zqb=bw?c;tv=-lylwi47IK3qStw2x8*kg}%9mywm7-LaEyX9Upa&P{?!;^V7uklhZz
zy}3u`6)4oU24jU|Tmj<psB!QHvzPB*$$oD=-$#z~0r>NqFX!~dz^)7GRNJptJ>M3<
zyeA`#E|%syJOTpli~X)1Sy%A3Ig{@KeZzZZ4@xZf4L}M{AIaN>Wk+F;L!D|JKR`EM
zJ{HSK%AlS)GuLPLlZ$x$29z;sAaF8Y9lU+`J1v^|xIa+F(>)^Wd%wOobpNm)ch_9%
zmI0DQhLP>F5YZDbWB&c?vp?|>KG0&ztFHG%s6X(uewc(lc&1Q|f_-*wM~e{jf%`<E
zrLdvhDgHp}+COa2vY=T%x_~k5-KsOZc;<TJCM0TrI}`R)mplYxinDkopp%I9l>n2y
zJ-qx?Xo{#@0g{bO6c}b2%3JD;uVnxi_j<hK1DH0kuqVHNht@6zFCpPZkJWJz$A8^_
znPPDSsEX=VZjp-#DW7d^q9VQC0w*)Y#$`ivZfQ4XH_sPSbXoWcG`$2Sqv~9?GQVcZ
z7j4{uUkOPL$wnCp^BY}UPuO}D?DJ1B({;Jw%N2x%h6IV2m~vs(ph=_7J))nSny0P6
zUS<@iXPTRvK@3DFMkl_UH_qZWEO8ZGq#AJA+S=|%4gUg@?d@Pd_NLGGW8rTQal6{3
zaQ@^G^@1mhFKT<rv;5a9>+dY=tiE3;Ot2nY%5hKNK<KFE%Weu&<uYOPiOxdL$AtnG
zm6Kqrj`L6Xr$y-VBoLpUi^>Z4&UAOZQ#}o8=ifMfrlwHD&FRXI%l_wKvGrPK1YYy*
z-}t%FoO`9e*tMXm7`K!#+aDR)KZ(*PeWB?(6BF;`No6qUQp05N<RR3+7aoN$DGkJV
zGOG9`fv6w)5GAU!l!dRC(_9yC4{wdGFV_OzgR3SrjZi3s@Ymmev$}Ri_3O33@#iyl
z-ZoxZTzm2cBpW!E{Z^TF^Y<4WcU^FRq6J2J0#`_Ka<YrEYVn2Cp(tQKLFmLuJAh&y
z{tSxU8^msFC6W9ACP^O<D2NzXlEgnI%%6lgo)um)TZI1OTm&o+YWM^)oEi5^);#HB
zJL+P*fO`$-6r-8(Xdkc+lf;LT1kQN)M2;lrp9||Ze2{2Q<3vTTMJYsw;G<|J$UlLg
za>{KbXC1MOlzNa0=`u5p3C1!WahK+f64Ry;*qLEs){0meeC=)COSL|-DE?eP>I@}u
zYA7kAf3lY)%x!4Eiu4C&Lqv1DSj&JOl)d{>o@>O>6`nD+1Lh!4dta^6S=5XPrZxf=
z5Dq!wHsjfph?JE;%K2S(4|`Y*s~|s#MjUp52~lU#wh8%#?=N$Re85z`(}#C&n+yZ`
zgse{~hjhk>-RM%NJ&UYV7gsjxIhf-R2rD^Spig^8O%2z<Q2lnx)@hT|sM&|(9_Nu7
z!1;PI^c^oXI<3Df-=Y&-79F1Cm?;h>|LVf*>%FkU)P;A=Kj>^fh@Y-4-eAEnk8Hjp
zIS{3a>L2fD)=``((kLRC-hdpaTM)}*?h)ee$V^XGy@O4dX|8}k8}<Pu8XCg6FR5m+
z2_ux&ojbVP+1;%q1NBINQwGC>Nxt)ue^Xm>GE{6O309kM57M2+#xHdo)kwNN14?0<
zz94BA{?7HTZGvRP+RKlrI3vCMH!D0_7GfI(VZ=_X&j$%{VD?jqPtR~46wE5zNK+r)
zq+}1zW&G+u)Ie*`Kzzj_Y<Se9@kD88rgA2afiNr&iXgtJjog?ek`ILhqEhL7;Kb|X
zsxuHxd&k78h7SHlg#kXs#`96^2xq#l=26rld=wsp!J|U^+ui{z^VJ%Ezkmm2Tb~ZI
zZGiTxTdh{sS5<MOwOLo)<nmP+7kFnQNn-UV9R7%b6S~jShVap8WDaG1f!bK~5u%&Q
z#6+p#pD{-SwNP}t<sRe=x5UVFE%Mxq6JBHs-Tg*X-dC{iQc@M*cOR330D*gBBe$v#
zG8F&}H!?EPgg7Du1zNl%pfdNvjPUn!)Q|B8g*MEPGZFR(Q<VV6#fZx2HH1Lyo;Fgt
zneX|k+!YDppV0M?Xlhw!SiZi9P+rGIik<yQOS5Z07iYVJ8y@y*7N;?4N6y>2GIv?e
zEpZi<2HmnhV%$w7hGKUB65!DT-ka7ML-473{ijy!wibwbz@746<Djc(ioOQw?*brj
ztD~mT7cP0>|EJK`iXzjaD8#ND$C<yLGIV2LAXLP&kS(GGcZS$ZQC9b4v^Xw~CG6Al
z7XcBKSN`uUEVgIdpdKyh+?JT6Rnlr?7q;!sxMc|i6{hoMk6HSYuBM5*A-M>0qMfa6
z5h=5W4tV9oT0I{41>rBGjru9DKBEZ-;1WqPmeVe$@$G)y`kEa0hFY#TiEBV7lPEY&
z&z~?ll|k2{M1y%u6`G@!7$!14xW&2a2NT35nSN5qwS~O~kwiI5<u!}LT8N>WuBoD)
zA0VkI_)t$e)E(Nc^;sA~Z*qyF&+0{hfM4k{Aa^o}BHZD@e5)9}L$K2a0rYlZ`TWM|
z(uWhv-(d@m0Lf|Kl(nOfnM`KUPHnm|l*AQ|LxRWc1mO*ZS7IVa%TAbdDRqZ^u}(rP
z;3+_ch>T}^*CKtMB=L#ShLHwp>RFByp+iuS!P<JoVxPx4<DE@r_Pyi}Z13jq-_7|W
zjSZSFXk$eXA%I|ie_;^&Yc3hVuULaw)S-58C3q^OZFnu110voB9u)_sl>%7YS3z9V
z(bd&egNUc4?$6r$ceS*J<yz+#C0q3JT;$JkHg$EOX}iryQ)9KZ<UZa;(PpYNd5Soj
z#EHv%v!q|;^j!~<T4dlgtOcz04Om;&x|e(368a)wEaS8z$K&iWm-ORPH*k8DO+~wc
zB)TMP3QS*l)p60ce+X=rv6bpA7*L<m;X5~s+Q>5M3+oYPr9dA%2U3Ba?BLR}f4>8v
zSmW2x7}dEh&)_sE;g^ya7%#88B-eK?*-`X;Gv5MRNr|ix_)&+RL_RkmaV}=kkr(V>
z@qjO9?JyMO2ObWRx$c!Y!ap|gzD1ui2uJc9?whketw`mUhZV#M={o01Y1ZZ_s*sN@
z;z%K!C=2N>QeD(b*5um@R}ctefdqCiB!p9!>-c<0W2w0qgI}jE!T;)FfH*6UDM}5x
z>ShxQ-f$5dnMtr%62NZ&8E^%pHRoWW_o;Z}cJSR-_rD+hqh2!^n-oU)&B>QOB@oGR
zc-B9E68)7S#EjL9$22OnlH%ynM-pAXboG}%QIHMM&8({xy#xowk4gm+60^T|0gcN_
z(=$i*U+_6=VU4&q-KLdNb@55^1Akp3P1-lCdpG5G{>taS#Cf^J8WUvQvam{zJg<GV
zGdhJ#Tgg>C`ys9wPDqBuAi?{@w%GxxKtql{-D|^q$^K>X{x`v0x@vKr;4{5;7*NJb
zl5@sD_~D^!$xsz=*Md@sT;b>Ay1F6w_)3n}olQL0^hMnP40URRLVFyYiLK!~G337V
zyy*gQ{O<2HD=QQI)wQ$(t)s@OO`VY?h+=HY5dv4@0&=L)IrIz8(guhDPPO&QXzZ?C
znKc4L$m?EY2XP}amO(WZvZ+&I9EJqsAgZC3(Aa8b%uD&#^z{`zE#V~ltFE9{QDQgR
zWpyV)H8T0ncL`q?vxrq<Mofu5E+6*f>|LXaJfgda3rBV*tN)!ln}BWH&RY=jZIPEV
zl&`3ljAA_CE?s!9`lP$kD2?ST9k<p)6D46S?F~cVUe8oX$IVY~Z98%DXP+d)SVtgT
zHDw^Lb!P_zrhBvs3k#ne?%AfK?jdht*S#_jt6eRPWQkmLkU5N=^TS1E9p7!7^MA>^
z$?;98wEmkQ!(BvLOlx$?MkXOjY+*wZUHDcm;ao=0)MfoLvXut<$FKq7fx<DtY^!g{
zmTpt_c2JhY_>aWM2)iOL>+A%ZJj!Nm$7)UsV0$TG5+KI>1MmH`5*`xER^a%tq$Ol{
zlw+LTs$0#|9H)K$8JmW_I&V=cFK^O!x1;5!4zY3vsjrbB;m!l!>­9+m29TBSKG
z>+Kn+e_o+`l4FMmQ6b!fM{GQyZqy3usH;n&dvJ2O)Q?r{N)Fm3p^=}AwB~JO)}Uk3
zAz5&>jQp6+W;rZD75BtO=E@J`y?3PQ`Hn}A*LmY|gb$d9Ugl<V?VLQs_kMc*w#AJ}
zp@J^mP}?*Yp^`AU+D#5$^zX0y6bo=Ef@a58zPilG0lEJ>lvX2b>s!E={Lt^wV(MCt
z#@hOP`thUk=xv%(gT&0nC?oiE(3#Fbs>tb|Z`kUR1T>tXq<FYb)#xe>2$2Z_Wv4hT
z{Y{)f)8E#qPL6PU=MdGn=}Y%)q(F)j<93qyeQi(~!t~O3qX|QsJumJFBIy>E5B#06
zh4)nU^Ibv-{N&TBwF4oWJi+TCYx$RKEKf?5$!`*!IY<|5M$bjgS@LfRdOVW0v>0er
znM>#J8)@KNBU-_7(hVMUdgUNWL@YzQL*uWBX_S1zSH=j(#?r<YM(;LPe;GnSI9VWy
zf>Ql7+X?}tRw^<iG_;w3@~x)c$N80m0&R1<RB^?Bs8QbtNy^I(M7<CH`j|$;cZ`eR
z*_WroNXbCyjYZ7FGCc#youoCvk+j@Co(E}k^9R5srl8+kv24v#GRsW;vsJ~~75<z;
z$PFQPdhgHHbS66<&ksIwo=96Wso6q0;&U0~X&8mRMfxJO!_@*8*GS@4e6eqoGrV_S
z@3oKu`lKEiQi=bl`zjDKy@T)W>{M6|Rvu>x{7`f_TbLc;5&b+9I(2ywtO6s5N2byh
zcukB6Qc12cl?fRE^Jt~}ze$YEmWMPMYBAyXMvX3*D%dM~_x65Z0Cl=0uVUPdT3r9<
zbb0iGJ2hI!!nTL>Vp-k@l`<2*?ss8|o?>ot9FAOfiEos#@IL2>bzKApyO&HT5KByM
z`dzKKKKb(3#ry<$$@Izs6s*Sx-1<nAWvu1bp0<f5o3}sEH0;L8y4R3cM}m0H>aMo-
zbjBuG&j)+2u0kawlckZGkAgUD>Qj7Pe{FKvus`;`^Zyjl?A>Zql%!?YIBN^kEH%6u
z#cmi;oV^=WKvR)-0n(nrdcGNL2!;_4o|YX`Bv5-P>G%8ZcBLu8tNZe~rdeTx`#!5!
z_|L-{NKzLZ2T|Wtp+ztv%qPkd6!IqM!3aVf<#}=3{38f*u-r5eB!#$8i{{!~me1F-
zjrj-cot&<3{eNYDwH9FfVnQ=o*cl50`fj!n@B;)^hjk^s3|B{8EhRTn-g!x-E&;k=
z^W1{mAQXC>A)mRma7S7Q6%7?vYsDa0RT6dih4Pnv!MNg9ZRjusoVXS{8Fp}R04%7{
zvb31JoGac9zBL0+Kg(JCcF`(WG>%as%xc@?G*f)mw)_Be^q=dD^!0C#iBKM&<Oz!f
z<SlbDv@yoDqp8X3C}r3j5fankUHk1RH8Q6RF5X=Ap{Y=To@PR-e7v)f7lDkmk&^~$
zdw;<E2#iCP`q{^&maV5u-tiy$Nz8(=!>#QMXC<kXr_7O!lTZta<2=$A<Pl|ejbvQb
z^jAU3NqUp>;U~OTGCMv&`iVXYJH-qIrcpsQn12J2qr*!tCpT+kO(B`@zDpwvU=pTa
z2P#bJ=m@y|!rpC*T2?5~w~Sg`SpmoNgeZyX2CgnXK^#fMnzTkVXIU!O3^^}MRd-xA
zD2)28arA)KE)G)Ma=F2NDq|`7R*#mrAFn9{y>L9Gn2AnEV@JwjS+&Wwr36iX?%rV)
zKU`b;PF%%4k(BC{rZf4|$tJ&>v-`VSs}U(6R|x1F_fRfdaE>OBPcWBBDUxS@LD)B(
zK#1E+8xuRY1wKN4gCsn92Ldq^8n<P`haK^B^7JT5Xrs2iE=!~Q^mBO-+c=nElg<Ln
zA%Wn{n~t!Ql9~DiI;iezI30RXz5Sq8g{i~K2qXB3j*$@<7Gd8_oXyb!Vd=ZxsEc_k
zizhE@2{Xce1+MG{lQoO2_`NIA0;Rp)g!g$0;GQ7S{@=VkN~?mqLIWvC;?cK?t{&*s
z!-ZdahH;|48%-7crK0aD&60P?>VpQc9bIu-v8yAHq<r(bk~VMGJAUre{Lp$7ofDdm
z9SUR5tZSTONj$ahw?Gm|d%Ga?t}ndDc)>H@=B3J!BxJK{cAvH4xQ>XTGY@?mMxX6u
zHIutne)v*v{;zQIaGYGSmR<8fL3R#uebwZWcKLAy4nRH~$E<lkiI3lIUx4R6E(+w!
zCetM02ad?pS0WYUf2C_NV}1-(=YKspDQ^FjY?E%eyi6D4jbrf(wPbg1Vm5w~J|AIH
z=9z~qb2ed$GX5E|zj1)R2mA7yQqzf`j&Xcyd>jgf?Ptv*0yrBOU=sfKuMK7k(ym$=
zo_l|Z<{Cd|9pRv82-E4>^R7w3X`YXvzjIPbawj<j3Q?6iAr*9!sOs<)QPvSIxljZa
zV!0=yp?Sr(_)!QGHL8Ib$wX?&yl(7OHmfBVIKDI`KesaHeL|qR?v+H;ba)nTR|0-c
zo;JaXRiWh@i+SGC=+wd1Kgm9kb^ZQ}!j)2HPIm<Qm>!?e9vZ%P1)3`OyoqU8TBI!|
zt{A$~CBX)r&GVnYv}Aju;!>xW%n-w=zjjQY=BaW}wyxE`sFP8S!huMlL#kLuuKi)9
zgGq(Kq#WOp#L{Lwg`$l<LqGhj)+$Zgx=B>apRcaPA3Mx~n5W2`=Pj+DzVV0QYb8{P
z<m*{x&#!u-W0S2O8875y1<MWB)~%gP(ah^z-`?r=I~8lRSk&%c_$&W>{o1Nk5_DHq
z!8L6Ug7;0YjiY&bY{j2`+UHRM{^aXh7q?_r7IU`3v*ykHj>E|t({}1s_etF$cD5ZN
zvYM^^-zdZUMsa@mFB@RE2Gub$=9NssiZ5$zjyg_SD@IgL>ZJ~|fqoo<EfYW2(v3m(
z67tpN=^jUJhzvf0XptusMSsMRYfoT=$T$d3R)46fZMr+P5sh8%3!}I8ljE66okLG0
z9YLZuh@@*PN3S$7m{pgQ%iaa}g`A|r#4CCY3p@)IIy4BP9<dv0tWK5_TU1B0{UFQa
zllLylA)-l4oczt|YCM#h&|=Urv7*nM+>sAt^wgUGNPRChkK}#N%>Cc~s(2<6>zb{a
zuC~wUzPg66Wq)Md@BHJeAEGwDUyDzMs7kGvKqYR*vr@g<clnQQ?JhUbN^mQDs(x_X
zW|_~dOdH=%=*fZ7)2`%q3Fz40VA6KOY-83tK3egu8$6zdV=jZz(Encxkd~l9oT$&o
zym)MHDUsXUADjzav|&cd7Iw7Yx+*l2LMKH+k5H2#A*Be$Yo1OcT(nphbNi*LEBTgr
zHC-U4m*YawBm?tDwct;-?CVuo_HJ+7TbGhcGxt}dLqZi$bERxrQ-*PsOaX8-#a-fC
zeAh6bSW^92wvTIKW5`JTp<z2kg0#j`j!cvHdsw6_Cu1tk`3*sCQZ9pQ6vS^GC{!i4
z)k);jEOfJXCq(yjP#|(l^>dgP_D}dBzo`%c4b&kzRZ~^IE}q*X484LyNrmaQ;)s@4
z$5aExS)(ddl&<f^cgQSrO<JRAV`QyAg->u+JCo@Z)5%-Eu2zEAPl+=Z=H$Ld*!TSN
zvDEv=&c}#DURK!d<zNNf2>tg^x`-_v^dPdqj{{xTmWyqVcphQW|MuHnfavoDF9`Vh
zkhq+jYI!_0?mCKd{=_+cP6N&8*mWtXmz9R@nRCfc<3pMlA>skPc8u&1s2D8N38?$4
z$HRJd;!)`iy~NtzmDM3~?GZ#W)|hHAfrdI(mT|g9Olm#5Zq~7;$t5LInqW=*Gz&Z?
z_4&k1TAIlvs96b}Emqi6O*e!{kaJ)>l33A^3S<aij?}L!6cmBtA<*{7f!WL97HJMs
zv>an+8>vxc(>=|1kzh*1;qRJ3P52_(Qz-6uTmRB-Wy}j-#-pt{wVZu}s)tlPxnUn>
zh`tjjTZpSrgerk!q_*|MPDMwUHbBx2t6Hf`hq+oQ5C8fJL9pyF2kMVZJV^m&$U=Fg
zgm~(zIm9C$Q09m26f_V4Mr>yuQk(K=9$r9tl+4<KC_N8T5gGtiO%i%wcn(ABI6se_
z1#2_ASa;9x;e{(gghygL#>}7Fhw5mGi`y08vlU_{g>Y&!(UL;C;<AkZ8BSi#@==NV
zVoddbVU6mY1_4a&r(`I!_+aUf#LPu%<J7hoJfXiI)c<!cVFF>7P5QGK@>ZYYD2qCa
zC<M7DvyiLm<!9sq9F(yL;s~lx&lj)QM!t8Y4oZ3E<qSQOm)4lVk@5Te`%0MsX^Ta^
zTblH*gc7Y@uz<I0GEHDl&8BViE=k~`uAb7z^sK^f1mpD*3Bu37Gr^;wqv8xB?TRj(
zp8IF)tirMXk<+@)JkvHrkEp=`U7~=8`rAv}BT}~UtTeui$KgkmEq~J5%&gaqvSD&z
zDv!%Dj~y%AZQ7Z9{Cr8ouF7xdAhc@YXA<lkS(r}#O$4urbwU}0yuoGxMiEOuJ%bbF
zL^BwyZo`$EJ=e!5{ZUq52%#%@j^3U!S|m>N4Bd{=d;pRg57Q$z2(sZCB_BK&u|S8Y
zLfJ-wLbh&xzyA@=bBVXj$0PvZ&_93^tK-X%%h<n5&--Hh^$QY5Z@(~b*i<Nuu(Pr%
z7O@{Xh<**U-*u&})9e2Wa~6z4`bfuMBwZp^i=ThV(b|h`_JPAAvLr6=i5&F>-kwYJ
zOc0{D^4F8?_7+k?)Cx9q$>6|noP-Ilj-+{%-(MO+s6oxp(q%Gq9Rv1#@r(!ZqXlH`
zSd8iIk^CPJZxjp~0Lc)p$SAZyg+QX>fRw(eX-E*H6P8mbsffW^EsF&QofDv{5ZM@v
z6pQ}pMUM}us;JTQ^{n7~h*q+RxkWuuA#|E*^~Zy!J;|<j%`a_qwNjo$vcO;F-xY{9
zzffi3El|e&$Qe3?>1VQN9A&DAm%bc>P?gx{PP-xSu|K)T!)0(flW250m>FK2(8UN<
zs^?k?<b3i4BpKKpc^d)$(y?~%tK{s)8rD{yOJ)z1iY2w^omhId4;~@%4pfStNO(xh
zz$&U+;kIA$#M6J?l@(VzEVbO>Rj{052#)9*Gpt-Jm@0%S9*5074D<9Qmn9DbTQxxk
z=*f5(9Q7+)6ZM(laxV*c$3+@svy?PS(y%3wWFv4S$p_QQIXUs?$Qf#XX^T>Jk#$j|
zA~mX6;6N@4(_XPMEE<(68qgq!laR|5Eqi<Q62osCQCcl@Z?8|pvMj6^5;bJcZ<3Mr
zp1dgvloQt+ttu=^rs=SKkyg`H!qeR_efrU{?pXD50srsdAO|&;vB$^-Ur0F?b{xdZ
zFzNO9bjSR0zyI5CJN=(;BHoTMSH1HC6rJy%&xSsf(|VwRr`y;#su{cB6Z0#`JNW06
zl>N)UuA(hd&%@7-%)oQ?SDCQ|WnuNpj;%+(H+mmUU3XW@Ak4u^CPM;S70M7?_%r;I
zvZP$S-fXh5o|A0MM{i0zp#s)IMP9wcIdWl-Wq`FDibS&CJ?y;yS5Qv$pyM!Z`!X_l
zDu9%%>-1mH=RQY#=rTdYuI%*Hm8N)V!!ANRbVG$f5nW1ET}V%7Dp<f~vuJpK`~1l0
zGl{yFkzP4NvaN~mRCP1HW4w04*L2xws3vv-Bw<)5TWlG0Jv1~lDCfKuCC1Ed9Wh|O
zGyZkyGa=eMw1qnIL^64YbdT>9*9?K4I9KLau1yt9!!BN_s1<>N)|6@5o!95qtRAL7
z?Qg#Y0_RyVFR2hLW2>p-?Q(IO#EYo1CBDik>nuZr==s7%(Zg4?r!&0_Zv$n)l>(7K
z0x5lCEAxSuJ`^}4pa)H#eZ`rxoY0y!Z$g@sCeV=j7PjfFp=pzCv8amHy!!e_D4$vn
zHj>=r=(*c$jN<jr{z#%qgJzfGm1Yd0SHO7i3>68=R7m@Vfo-<<7ZZv^6f(yY6+g{H
zV(2f8zFfU>P<f&0D2*6_ii1v#DsD@jIG0qPhQr1!X@+V1mGyV}Je$R?x>}L$Ow&<`
zeYS#~en_Y0pWW%D{<0FnV<1*$#|Q%-YrO*y#eQ{r=c?v0_fE|&i~3j)q3F#9U{ovT
zeG5CRMJQ=Em1_S!7Q*11vfppAdo<Q9J4lOwS~98Uq8I7&ZI-~p@0|H4C0H`6xWl<W
zKDj>zFsB}H06X{sq~0oE$LjU(56?#(RaGSH?oNT*@KGmfk2(fSxa^?!E=Sn&xTTlU
z|6=md49V`hI070J9hM#I_1NFvj6CXASG;;wP2K}-YSV7EFSyUqso#SlkISq|__=r*
zAJgNWN<FX;{lpf!x4F4l2-6<VvI);Cq2t%18OVO2Z7ZMO|K{V7KU!v<cs|zFlykXR
zqjz>=Tbm*}up~swB0(ZR?rYO;=C5l%5}9-{^JFpNczm*E&WrIcC7wrx?~ghA8ac21
za$L^)0ew0GB`xRphCq#>{fdhTt6(gEKUH}%mvnYtE4|L6A)Lo31^#sJ&DgfHFLl}6
zo!36Sn!?YDlQ%`mF~sXLOT^QTjX9ARkMAW213}Q!dVRZ<kQG|;T26xWwUbYhHTA4U
zO|~13qK<Hjnn4zkd>67zA`@4Vqsmn9-%mHzd=`e*o8OU}Nq$>QFvm$DJ3wHYw8Xu?
zg2(Xk5d}$qzm(6+^s0!VppYr^Msac~$tnTLFq&?B!uq<K>=(KQ2ANn+&dy-^VQTyB
zcTHziak`{WqunRjXrkUeo-HR;u_Hm(y<@ARL$N_-hCT5zub&%3v#iXNC+K)sH;R+f
z+?H)_iiPj8tnDqYy0R)6R_<3m+-9!eTsJDI;K#J|tNcWH{#dNjbW6ErIqFnN4hy!g
zbCm8R*yxNX#PPNnlVtOGMb<%7KaO6=*RMs3u#V^%7_j1fDL9GG%F3dXhZ7a*tRTg9
z=4wks|6B}_AQH}^LI*;E0<0VgkcRO2(cFa8)!~0z!|MBI;}cLVG<pbST?1)W>tLVr
zzeu2ZdF+-$Fm`r64Po~K<ybf00R|7W`8kzd{VYI3cxBF@GJWwGL~R^*J_JC3RsGQ+
z1yuUikNSkfoPR$b#aX~E!oDtgMseab2((xz<LBU>J#IUPg9e;Owe#CYhY8SE1pJbE
z(Q-NpEb<S3^*b;1^$vi50$Ol3Y8d;%{(soX_y?`hg8E~stMTmPbA}X6E4w#NcJ;y7
zy&I||QcN#{o01xqk3hWSfl;G=iY8!lQ+RC}N(1X9JSU8Z*;tkKqrd7kCJsTcB}wIZ
z92(5brfjpqB{_`Vy|SN|-_o*5BtW4d&LuVG;dgq{U0e39{rJ04DPs?fcG6A^OLOv~
zWBGc)($~wK;Di=dk$5zyk*H^(lw7$MONL}Jl-~l-70w#Slo{X0)F|AFw5#|yqviGR
zqO9G#Y~u@rcMLwezRsHCZ)NxbDUarqt&dHMD8`oT!J+xv@xoSgIH7Oh$!XUVqId3q
zb&@1yjius&^~L=^69p@D0r1E$QO+6`$TwUR5kF`Vi6g1?MXdA!aS||}ulO&Ag@Ie{
z#j{VsDVq2)33R$CCS1RxF4T;MgEVRl2=I)Y%+ia#pr9bV41C!oRg`SAZ{FUrqI;%c
zjECjLS-N++_jE+P4jVH_B4|d{0Tang+|CpSPJ#<!APTigK})P5Q-tzd)=yCgM<0Hj
zq(ptK0*r`O=(8@b!@QRzyEkW7V|~&K76#bL^&Lq5*a3}>f)JgQZ2@ILg60cR(<opy
z+|5@sz-u43UXGs~xEanBBrYo}6JhA}1qP-2xyFu5piIs=xgAIaBIWk~tkn-7O5w=C
zX*o;n%&zmw?(tP5A|!l$RUO;DuUVPy0Kh4bBQluXV!i#S>^kXuxChInKPdb31~1i9
zh-BEKakcZY;}eK$vPFG8Qrsbd{Ox;6j{yg7&k{Z#-qQ!%9lY%XKD&oaa3T{0Y!G>L
zy3IR1Tsd`aU^)HS0%~fH*7Bru<)ZN)yf@vN{~NPcQh^d!tF+fc__4E~VCK9{tCZJQ
zv=cZZd6bf2nXW)DeMko!7B)U_&W3vLLS70hl){3e29iDC4y{8+TFcIvf`cR~gS5r?
zjZc@=P^WSSB38iKLq}|e?dll4OE{JL6guW)s3hvd(}>Tv9Li;6u9d!I)8=&}X~Ff~
z|9xEz|21>Qtg%x{lOFHaR9jKXSb!{N_aA68-*t&gn?>DRc}KpAf75oVDxeNq#BtnU
zoBNysh!)#=Qkp`W7RP1qk%7viZ|J$g2e+KF=S}-@FzY`es47TfRVU{Oo19ZSAV3iC
zCiNr?Y|W+hLrs*)ktS-dc+EfK7{J*XsnS;AHU)18Y4o-iy|_++0p%kVfSp>;hckdX
zei2_1ojQRI2n^&C`Ub4a>*o?D(Q7B<8?Mt!U(?mb_USaoeanP<QxTf{OnfSZ0g2)y
zw_scTC0HIj%e999p~9Ai%#g<6LT#QsgN#n?0l;;7Ps2@U7K(z+XdR1Rkq+G<T*~+*
z)7k+D-&*_QO?dA)efd-nPNE%G0$h9n%w`rAC^!^@-W4v{1-r>~@=34(XRLO4uY$Ix
z8JPKuK38ab=Z~>4z_+Pl`4AoU=$E?(+Q0jmV)aL}@uPbPu`3*p;Wh9Z;YmI^H}8JM
z-v2sA18Nbce*;b;{b_&{xdp1L1)!P%#(Y4jXFL4N{4WXvoTg&nclclAzwjRvUgKQ8
ze^jjweDDWG=eFD9*8k490m%Jez~SKQv-sH2Jb&okab)0bGglypo+;Rka##lcY5r9i
z^i%%_;p`8bU=nNCzRjPMLtuoUbs@+l1V^?F#E~LFMpO5#hqmJIQIbs$eouD)bJ_fR
zx@OGNi4K{n3AW%?;}Ob`{@KmJW*}C^-)1e;*nBKatr@YK1_+hrqWMK5Bc*CW7$Kvs
znv2)5BCJ%jmZ<2FZdvwltm1H+>+}x|v^lTquN~!>wFaWHcZ4G2FmLbd+sT5bIIohS
z6XiYpD7c)&76bH92!^g5JnCxyQm&fXaHv>i5}VdmMvSh$!avvUNOK4m7H!>2#U0Gw
zpJGMROCGuN`JH?fv~&R#GMy0>YSo)e1TLT1+1VxDPI#s(ym{9fOn&Iq&CP<8vC*7y
zF{C%L3JyEDPfT9L2maXiQZtNSlIwX{wW@qFh5f7~w3@Auy8QXxO54(AVd_zq#U@W2
zwN1gSRIO8^Lo1MmZlEl}!wH0+euF@Mcnq=Jwe{?rtgJh-v$Hz^#^4lw1n*t`A<DNI
zvXwL?>U*`~h65;nUui&;@B>K)1f4Uiw&P+vys`brVg4Qm=kfT+6msA13Bjmkdz51!
zLmuzMis-dYvPbt>G-o9Uf$_+{Hhj#Fc+7ZsoWNQUL?A!C@4;od0b*V(E9XZ*>0b{A
zav%tYcxXTU+4;A$Q%`Gb<s0UYN4Ob{tia9P-QC8<hClJ7#j$h!#L*~AbuP)&W0ciq
zAbBPjI$*c;1y9K{<(ja<ih+}}Md;V<WFK+dXu`8G@=uXL&}|ilbQs`411BN)NwzVc
z^jDs-1mx18AjOKcCP51_O6Ct%|NYT=(7(<4-C`)*lZ<LNyYIN~%aw-tNvh-g_iL+t
zwPMWd@qOh6_1R*UH^xaHZTpDa=nVu(6Vtg03w=^n+^Bd15!t?*(|^otYEULmWZL;;
z{#t7m(QE#-IQsB}l5W19J$tuuZjm#zp1%mylrf7%?_|C6VIV@+Y!nQ~<bzrdI6<h}
zU&~u!$mM@B2|TTm3_<LPvLDLos87%3fACUzEt4OwCyi#AnIJo~%ie==6>(k>gU|)R
z@8Ul-h93aC+I1;dxPr0qn$BU@bTYk@=pVmRv6AP^E{w+jhdel_<#Ee-&B|cKJQ-sL
zVBUbP+r_q5OsSlyeBsQ!bp6x0y|lFCu5T&I?h%Oy=4UlXDnXYR8^}C>1cDu6#dF<%
z{%C1&5g{--I(n7uF>U~eD(6A;$C_7m247!0u;k<%du2cW4(R}C0s+Jv0~Jc?^?K#q
zOOtDh(+!**37O|T4HEc@VOgTLJO$Bf%I;N(ixpK4h4sRuI6OhlCH3ZhE7=MxnlrLG
zgcdVOQ&F7KbaF698HuqbM@M0tFR0=)X;?p+Z}$`mPCNmV1)!9YG6h}tNhmpfm=1A^
zx&ZC=)V8oE*--akaig!xY?_Y-qIlyw+Wrz|y*V;ms(ERBf*#fs49j510JST%nb1gh
zDLR^2>MI^&X|e>gm|=`g`Kan%mh4@mS_FBTBiW96%U51;kRU|;v@&>aV8mtC8$OWI
z_oJmxyK_BuYvD-Ltt-osz~}?ExcR|MH!EkMvEv6)Y@Xb5b<3weUv-(?$bKHe=IDW{
zU*hS6#b5tfi~3U$!<NV}5N^Zfky7?|6T_+1;hGG`dA-9waro=WEg*dcs7(8>^~>k#
z8(WJQEtr$Dd263x)D0DIzLT0t{YgS2(jVM(Qcot_HMS-|e6I5lws>)-|4r>h>>%VF
zC`8t!d!J9|Z65);%A3JK+solMqQ7>=(s{=6sCZ-h?h4wAfgxeFPUMTdfv5WRxfWQ>
z@5EtH3ths{4b~GLmS!M@uT^%5*#aF!P6!5~@1I5Eiud<$u|lk+#L*Jf+FJ=U?L@|V
znr~J-Y<wx}3ZWzrabwu5F9q@_g_Yf9*FATv+(=3k!<fghKrTKuqPNiLU1ZF7S5<xf
zx>EQ1;)^yJbf6ILvgqR&?**#>zc3a$#vq9q$j?|k%70ZbS~DuE`2`okHTG(oSNLG|
zytFxfAeSmT9`_rvIX=EN=Z1%4y1rH~1lthV2P(lu>&Gi!1-Hfc^qdlOZFlIsb>$8$
zW611@6P&)L%xP7gV1$?{MiYD(Es_L1feyH9#I^11Z2T|m;~h!E5u5mOi?b$~_YtEt
zYEpxgCh^l5d$8m6=NuvH#=5`w__o>#_^&3`hV)3}?GhT_xJe+9LXH~1asqTXmb!#~
zt$O8r81u<63#0Z6|42?kWQ1TtK8j(z^CiP?ycw9!G*_%_pI#r2)Gv14&mXsJ+g#PI
zU+ePR*NvJUiv9U0_9tuoCadW6+2hRB%h3irk@uj#{cP!I+q6za`+wy3b@3za&KiM;
zV>q8x@BJT>vhhwJOF5CQx`7X!Itd0HA~xO~ss;<gVuT~;?*fUr@UbGB{ZKOW+$Z5=
z?%BH<LoDn~+@9ngHE6X4kn-xX`V{4dbxefQogv?x-clSczL?8Mv_&E&;oD73@F2h0
zqLxu?ix{dMb<US<{i4y#rCxk7W4{atU9xAN%*IE~SBSTkJnHov>h<Oct460(`6eN8
z%s#IxF{t;MF)xrY(Ww|Q<jXM2f-32LHCwm1b<$@JBTLZM!}P|&(a=ZwZ;I1m6=_Gf
zpv63~qQ9)trG!d)@cREPQHf9zAlIdOs1#ygv?8>@_Cbjb;Lek=B<z364YqyZO|$N_
zq!CxZdxgpUOCUxnIIJGYXt{?0F`RU)bY`!`7uLJ`qzr&^H8}3F2^OTQbNfq6dbKwW
zoa52i-M`uypEA8PI~=%1DVSo*7_$%-PRnJ~D6kZG0~u8pB6)H3r+!-MKGtJB)w6Z=
z;JXSO49<4DBETHYAa*m1M(OoqFW@(@hCR#_y}n%ad&k%Cx&6>$-T|D3o%e2?7v2^B
zySr{<uub{qHL``dmwV=7KrtN%hvUFJ7g1r)RzWzLq(U!J#&zwKG}K1z{&l#=W`<4;
zQbNtlXd`GkYc<JY%ZBC1u)~b-pDx3Ly5KcEm(iT}UO#202bAZ-r4YrVn3`q{S6}d^
zo7i=5Q9?&>XVW*MYz;}UGP0Cr=&xB`?Ml37xbm|Qey2oY1Skxy;5gvK^X<RF9|V$9
zjsg1!ae6#7R+Tr3L;wl;&Ih$6t4puCN*cQ+_Egkk3sqWlcBcu9`Lh`)pgv{W18>_;
zt*))W-(7);B-HgJaiK%{h8FpmrSPe!&97!LJIhN$ICsvrN2W2>=^}*VZWImkZpFic
zc}$Pk(u4DG(vcPr4VN3(2G_r5gl|&%=TQ;j9I!4kx5;lkgV|$IzD--zf4$_E+3tJ&
zS~z+$niH5>IfxGl4_x5jC<KP9MaI&L_g2eSkJ|lY78x}IVmFV*7bQ)XKK@_|9iMry
zjH(8{DZ^%$?GNA?0SjMi>)qpK4JuI`k1`+gdRo^mD<1yDKKyyy-ybWs*YD7PU1t7q
z-D-chzXgod>5TfEmAmZn^76dn==s0LaJcg58}CTJT`Ay!FTP++fEhKtGdcUwIJBsK
zF4K`-<Qq}uv;S4Z_wQzZWcwSH8t$T|sqU)xxwXwg3&mDXNU)S}wF?txMUr>nK$rnQ
zQgD6#?(wF73EOAZR4`*#SYFmH?d>3vF~ZgLhDWaCC<jf(K|etHAP^Td*7CPMbW=1A
z44@xVeLL#N8OHV6V@z1j{kxk{`}Epvm)Rzgru4tH0*5|-4QnKJ0wbXvi`oo#xYZP*
zgAI06jhjStjncl95JO|3jv19*UTZ>5d1;3OE?GqS;aGTd=t|mD3;P?T#p*MJ=ks{J
z8<TY}F~8(O#B)&~OU7S`o5ohLTR7I|W=#di2b>SF)$&oOzpCs!t;_JKQpuhd=l_F%
zr1N2Do|<U7ibJ2{#e7WFK(>Oe1NSxB)ZUY8Q!T^skKfNGY2U<*Qalv@_^ojFQEW}%
zss=nL0DXuGPqxDLfus~5>y9G7t|-f}I<_xgB#=D^b1;}Wk{kpS#?j~9V<|;}e(Ue1
zsDkHc<FSGD!=L+EpaMGq-lZ13>xX>cM45&BZtc8nZFTth0;F_;YwslGeMZa+vHL>)
zc2Ktb=#cx**VO7SKz_fMbH4{9hl&2bV}y^JfcHEJ27+$pK`7Syqvd~~77Z-TC-;X|
zV#2pukJ}Mq*C!A#__(p8JAgI5(s%U$bi%vXnFXx<ANKaH02GeKiWsQ5G!NlW-hP_U
zo*GF|uu0cKR49##qk6i^iUM)Ooa7>pRSyi^nyK4YroRiwdE3$z4X@*a6`n^LrRZ&a
zp_#!da#mFkdF$f%GG2@#pYz=qh9NQ)OtWWr=rY&=AwixuSMSwDYmYOEMLITm$t+bB
zYox0qQdy2L-n^|!mNqNkR<NXjrZ3-NWrzhV43+{tvJsB5es5zSm{bxRDayr!<RJxI
z%RiqK@8n`fNfaXJ_0x0O4t;jrL`g-JY1DQ8G~EBi^Y@p98EdtLBO_9-<e#A=jl;yt
z{>LvA&<JBr=6*f<B=swM<wW}PnJuP~q95~gd%vJ`Q&((%T|nr{UTRVx+~#Fsz@&k`
zk<L4ED}f8N0r6`(p#O*bC-u)M#@*Dfs;-VVx-We5vxE$8320K2U$gfgt4*~@mO<K~
zD{sTpb3ADfHnV;}F!C7Lc;74buXnN53g|=uix+3H2p-<5=Q;&)H^b}GaDCz3Pp>b&
zI5yt)vj?17y}z;ogYebi;`D!I>2-5r*REm!p8aS3;@{(Iu;=!7Pv!kz@P+_P7(hpv
zW36dQjt{@yhzSWF0*BI=%D+Apk>6cNkJxbxr6?p30U;(YO^3vKNzrEz5mz}??5
zALY*eFVvvXgJy`9@*+6xV)P>=t87j@sT>sycnk_KNm?i^6oam|ekC}G8dtz~soABN
zZ~tU@NoUo-$+MyCT{?{t7!ll)w{XjQY(-D~Wk}*BIV+yD7gjyTDkvMmlHAa0;*8>E
zQTpJ#@psBYu6)h0(SJRMchqbEl<S@?wy73OJ+JQXmuWc5tF8;C@B1dm9oM(^0}W*f
z6&r$%h(KXFHYJ}sIEw$2B(GX^k^afd5Vy0^)x@{^zn}kaE<h9tD$Yu%(#!@`sf9M4
zm7q;0$D}>_WsK`WlhSg-i?>`9{H|iNGv^}X=fLliRahLdR8Z5+wbvkp&TKm>4x^oq
zctg~uDM|J7sJgZBHzCXl?!NjF?RiC68Q^Q|O-!f-{!LM#r=+BSpXFb2*%O;|WqLe}
zO9ZPLvUa4vko`dJde!lk2oddGmgMY;?d@$49%1+R5d;31ogK@1y}QS!51iE851&Ok
zPj11G^l<f<I`z0so{PNy_2m<I#+T}1m)#)au=uT$V9YtF=iYyNzy0>Od6yFWC;WbQ
zvuIZwF4pdX#I)N{tJkgo4TC?+PYM9Bo`1$b12R~;!FdB39KcCZc@J)ct4EkOW$@p>
z;O(-02G{+WVnAA9LBJoF{r=zJd%ucL>R>P@+7#$`w-My}H$IuB)p6cUXzbI+wX+gy
z9%nAc%a%E}npSQ728q7e_PbnJ)H@%6>b!4-!E-Ixh%%FJ^_0?&{<{5CW)MEQInKUA
z?RtTg!k#4~&K%57p<a$4P8%N;vrFj9;>(ur-oC+-9Ad&j;-e;4%DaB;DQt-(F1trC
z;?VJD@cTbaFqTd6MCVz9L`!UBm4<uM^ui+LESUcD`kG5|tcE>XsNWkI-o<lwYl!LG
zO5HQp#L5WQm{hqs5jj6O45?_Xm7gTVnXd2q2BT;~laW5HR7pm<+ORpUHa9g94?1_Q
zH_BT17akaJ@btvRS3Q+l{2uv?LWt*<;xp_uP~AG7bn|-VVZKhN3ne*}SE>9SiBAVH
zANX!9<AX8dLi*u7y+hX&hEwO=)v$R@d%Gci|FKFRaYjy#Q@!5!u>Cne>furk)#fi<
zMcSR6-ZtrnG``y%0YGQ=T{S?0rlw&a#{&F%9lt1|_>BL3eZ&BEU=)YGU3pzbfg%eB
z6%%l;Cq09ha8*3N9j(C(LIC>EJkE(@$BNtJDwsnoY7D1q-VZ&MXnB2%V{=C0NOb3f
zR7MMI%q<z!*?^a5iFheg@#TUO-)EPcGwpzy0sV=E-5aZ$7Fe;HI_x{Ruos~t6QWNb
zRqryfxx^m7-miA+9po{RMh_I6zAon-i%kEu^cA;uDV1H>m=a>Dr(ivi6mEemf!#M;
z_eIYd3BL=1V@*w5OiiB+#~V=&<ofh2DUJ%AkcjB>=g<6n=^&Rp>r*tsq7W3lniWKe
zTwb~ZiNouL{bU||2xEG?hk&M%npd??S(g#QQ!OletzrSxIxb_imh*>NPX^8e3#--N
zIlI8d)5K{ZZ7yx8H78QPs(CbjXG$AYWnWv3r6bvsvQRB4iKrFGN{xzOiXeIR9Tx-H
z6fI?e13Ho7U~+g;ue7{6d;F!uZnR`HDrzWoOWEoVp_<_<?N~=`P0OZ-P9^QtCjQN4
zCe5q6LBU<Y)nhpP*^yC1NKApHhiiV}KxclA;`9Yjxy6e0vbW5IY(^8ce3HbQynD+J
zfspH=|As(54VmVA4O;uLrv=?h-3<_j@4+(BK4{~6j-UG-p~*LMJr6R@Mg{`k32Btt
zlT292JNR~UPJu2luqiyx4_ahSBNt?Dbo3b>wJHBt_1oX1+)0u0v(>E6@vTw4*1<7)
zUfNk*k}I`FI__k9Q#N`vyXaeVds?*LmQkGAl}1WVe#=(Nzo$4jV!WpwuEf!VuT0hO
zABkvBm&*C&)m7dBeEsp1r=lA!70Tr;<+9bSB~EzFQTd7kf@qp+jXh+=I}yW~7q0AI
zGetAd?Si>!C*`DHy2hK^7S3N`fTT$ePNcW!AXK^vRty@f{I&s(hcA<20fV~k`bOdv
zO8aJE3=r>n*=p$SM=+Pr@H1l$HNtfVmxlW_5NSv=0>i#0wYIj_`0jZLFpbR9RKF?K
zoNpOFnpSrv7u(<Nu53(w_t&ykndsAG7$qbH5m5xvMU5*Hk8S#@z$8WNU)7$sQOnY>
zh#2MZ8<}hw=gwLq3apl_=sJ9T8kbk6`9T(MhiSF+?WQ+Wbs0ja3ZBwTwHQ~=8s*e2
zWxJl+j{Ur;Gl<`7TRZrB-kb=#4d|@Rp3~Z~Bl~hP@7XBaz^I?Gv}sw-=lV(^p~hXt
z$jd|^*)~_i{p#P+5@~}vsuwr-$AhuQ+*u?uY<_2c#(eH<s&sYt)~(v8l0ALk=<v|3
z)o`sHzcsB6?^P%_^H}rDc`V%AL9~^ASW(9Ntz+E9fsa$67HZyJQt@AD>E;+#HTXvM
z`?`ZHIqBlV!stzpGPH^x-4hwfOQVOk_ol8*!{#(C>}AE7VGXsgm#gf{YO|iRL+TPd
zoB@ruenw(Bn#vAJ>^V;dJF0k-V|B31?Rp(mqKcrGj1ghq-fb#t<-t+x%9p(ZR&(yD
z+VODI7%!@g&-RZC9I-|2AumFy-Cxmtbkf|z3SGoIP}}W6a*c#Qo-rVMK?0?u(bX#F
zTl<8Ks<Ml&uk)NG1fCVdKy5_~P8`>d?JxAQ%FT-M7W+n~rtG28%;V=AtVu2E<@FIg
zxJt58>w5jH$z0n|z4B((dS_jQG%MY^IjoJS@J$n6LxDl~&UbE@lKzoTGr7a6NcPJJ
za-5I>^06IH=Gii>ljuRw_2)rd!oF)nrVb8Rce@B{QS~10-@iS4{l1QeK&(xO9^aBS
zb$z9MrgDBuAbWh**Vnh^_Fu7eLiF`v8_`pW<!U~Uaj_-!18&_$I&K`$PuK7Gw!Dbu
zRqzx|4NgdZoS=#Y58<Vv<_@{%#hjjpW*jg0HZ1o{n?_i%98>G+u{qb1>kiL6o>RHE
z%G!B;C+MpcO&e~<+cRN)&HHI3qec`RB4Ns-WGWp~@2fW~Ug{oxiayT#q){9ybT#C&
z?YMCnA=k(b9GTz=4wZX3#U+{*OPNfuvP76pBA!<lYn6gEtX;(Z+l-m-gThj{5zZ^P
zcjik3NSp9~N682PEDw9srxnIm(G_?NgW<Y)&2duO#fe4j-GTmM^&S>ZyE~`TMnKac
zZ_zoJ%@F*1P>PeMR@RQbPs^_S|KskhzoPuUuwm@Lprw_eQ@Rnw0cm9Dp`>HzZj_Qn
zx(4_N3`h(}jD&;%LxX?}(jqYe(k1D8X1?za?|T1%XRT*`a=EzgIdjh0`|NY=y|3#L
zGf&x%-%g_6^X2b8HK@>`#rZaLWjLO+Cgd9QG#NFed}kQk%`PkU<}i_@8~tzY1?+Gs
zp*t(pRy^6U6sCd`|7BZ8Ebo_C`*MW@nr4%Y`M`rYo}X@fo=Vr`C!R|_JUg2YHWq8v
zl{9u7&wQ3jmRIKh&k^7Jh%y?tXQr{4-fx&9j=LYD^tQLISH%c@r=fte8VY?nw&OgB
zYe=$r*l7zLOlTQ<1!wXc(AR7W4W5x2U)%RP9Elm}uoIEs!3fvxmaL`zN3k8$R&W&v
zSiE}g>{^AFus*xwvtBl9X)IZ2wEOEvR#1p17ZpFfi;n<6e?bM#Ju^QRs*TSYqGpuW
zQz_)mNj6VHiiUrGj59dQm-(e-mHd#SUn{{^=Hc2wr)^yfxgUw)O~2KPB$6g+Fc4Zy
z?wo<6-1lhd<F%pu!w5rDQ$5w}R#VJKmVetb-TXv@YjPQ|6f3Kn>^FxVZmyTWG=9Z;
zE>=53ds^rf&tMZw@_H$?UUmpnw})E#_J6Vk^tM{}hJ&#A<~4BX%;WRJg<2sFio1`(
zNDFg@O{}M6d{;}gtbQ{6bmsRl)IG(nk7gk$T-*nP9@!N(_a=ORdbu{vl1I8!O;oJ3
zCY-K12DFmBC1>Vsw+;CE)1=T>NhJGqF7i&V&*}N%zX7Ni^-{&>$iVxeFtiDjo#puK
z+)s96KLBl6m>P5Q>-R{gE~@8O|KqGC?YJsesBW^9He=L0AW7v&Rr%1oij-MB=|{5J
z#TFWReXkyKJoHJCaBcgXTqAE7@h=O|Zrh`u?R_7cQH#xc=;RXVqn<|!XiWGI8n2Q_
z>XQAuKyrs^Xjd~|Hk+-dakOXG<T?w=gikmVMw5R}G^Z?W)~PL}Ujrka@N4=|ga)Fa
zx?9#;w|bsW{Y69xKVjzS-ELBblwM$uY4G-B)zU#H+>@k9ZLIYh`JiBkpk(RAMkvnH
z4CK!)aw9iCgntnzCUJEo*T3EBZtdNH-L|Ax)23pU;b@>`^ns@2rCY$Mth9aEEJdpB
z$!H#jRZ`(@tdRS5{0vxj5TQ!Ua^h{rB%8VSKOLhBtSI9mukrAI=eoZHy4RbJPD2r#
zH(5;|G4(5nQ%Fa1G2LuFp}v%A1wm{M-g_Pv-A%jTZ&ozyH+6FRtDrZePT0@1&sPm8
z={mf2K654*%Ge(SsAq=lzb7qBIF-aiztiOb*#bB^>W&YnJ||988CPr}m+I&qD5n4-
zBkqEIwML%%*aQ8Jk=j3E1_^HjhS02b=>1b|E3w;ZsNpx!(EPCjpXPiCIgiSDe<)iX
zFI_9|m~8aBVWeJpq9OhIl7oYAHsuxE4G$+K@+Af6@@<YYTZMOZ`1`xJ3}3QSE0T+7
zCAc!Gg=`_JYYwInQ_{-Z30C+G+mLnWPxbi-D_025t2{lgIo5$eiW>`(tkutLWD1_u
z8(>`ipqCgEtt-eZex{^bmbx5VCZ&-@`3dx18m^VTt3Jdjl!<6qs(I@aAU!J3YpnvG
zaXU%jBbPdVqIS?PNZz^|3djM1Ia}RI5C8PI?R;u@Ic3x%2`?MFV|_V4I;#mBpC9@K
zv3x#fBqW9cME^GqXuf>b;paPX`JOeyVI~_~chyq&2OM0ry4?L6?`vVl&X`MY7~6%t
z_~x{vEo)+I_v_8Oj_<#{nc}oD^oq&&KZeIM@2q1Ygm{J`hxK{Tr)LLn2kC7)$~zZr
zG(Ln_Oa30K^nZb8e=3^7Eb>r1@#4z{jtD~|qlvk<=*l2I<ZQd7Y{M^2W*z(&OKX|f
zLhj-IW1H-2Pu>hV*k5!I?h+=a?i;~R`)0EbHl;mJYkq?{h;vt@_S7~VYw&yu-Gi+>
z#gEuM6>-PWvcO_Rb`oqj3~EQ4S2lYvN+EH`gqi+2I-%RTr4MrrIwnRBz@3HBfzD+q
zJw~6EviNg31K`6CshbFzIsphYXu`K_F&K56%FRS^6n2!mFefHdC!Q7nXZLKs?p*sp
z>!nXA3NNpbNETOOBwT0v%|mL+;%t*=a_1(pX)+TwPF`u3yPqtt;%>uw$y7`uR%Ds)
z`X=T7ab=|LAA2G%ULu-%3%<^#0yNvAT{~+A;?i4Z0)Upo9O+K~4Iwn{a9qM}EXT`5
zA5ER^*kq#l`lO-t1-g5~*}gP;^Y2?*moZ2Czn8b}0NhKXR4d8lY;&m?r|ZC$;4La<
zX8u}nt>@D&u>*HtSGFv_P0oMGOBbr0#^x<okjAy2*Tk`=E?)HFfdRjeR4;Tfw+tWK
zt&SbJHz>NF|9$j^fnDJNY-_LQPl~7Y539m3S^l7B-@9G4BzIy}#`dO;2Eu|<@?8mY
z`>sewyO}#tY(G!i%L(c%#LS@fs?JR4t!&GHEaROd0GZ)}c_Ya<wenjAWz|v;A2UO?
z6!2l2Cx9WiYmtfM<^5~Kpi_+Y7BEhR8J^mcBwi1@)D@_|S+#Mlreth{r{>znhcX6h
z>xu9R6%%qJ%j`(cwwfM$Q3J={*P2jD)q#I@4oA5J3R6-?hH7`*%$FwCNAbRijH9T=
zNk>y45wDLH51v0VK*geyaWs6(u<|;51!^Rj_1T@DoEP6mAVKO+`MOYo)*t+lpNDDp
zW7ST?y;{CHBaR5J5Ba9ZvIWYiRr^Om4D1>qN<E_5yfP+Ye5JK|4}DnkZ`jFN+;Uh^
zpGb@t)u~$iBa?R$@IfJFfAKly@OyGC9T_P{7w%R|qBYz-{FQzB{+7MZ1X*1jcSU?S
ztY(g7b_XyRba9l6W}>-fs;A6UlAvYGUD^8E2eZC*A6J__?FNzlYsLq%oBi1$AVFz}
zwl!Ktl7{^U60h_L;W@H*Nwz32U0^2p`6g$;_IRg{x7jazJS!L>SESg4e6yS2gB7ex
zRSh(oKT<##EmCIO@a!MFY3l(;B$uR5c%jDkYvVC03$+Kq>nBk4jwcy+!rsUM2D(6V
z#xA>|{275vAmDU7c|GWX4G_@rk|yjqpnKqccDxVT9}Z#Z%BjkFJt;qXlXGB$QnSHt
zrL+tRO=`w6UU&A5kE+VczQr5kswVzhO%@7a_lbPgGi|(*HAS66vxr{|6kshZD<9IE
z@$`RDLXPKtT|=i~BbRAYyAakI7GBn1$&@+p63LE$A1C5rkhz)%9(0OI*F6MkM@|35
zm=43U&7Enc+!y2ClXunN{V%MH4*yk!<qqM2?bgJf@=v!<GLn!mLx`a@&yXi%XFA+@
zu@X~PC}{SZGe#(?FeOjJnJi@|5~F{eqjaPrH8xH`tx2bh-qrz4>3bNdvocN2ZK@k}
z;!ox{G_IQb)BaJ#oq&~^)Hn@vaawL}F5rE2$f37NgK1OAZ4_MmBuwz10Si;?+Lf<&
z4ILpo$lv$o2PHSDbH^5!d+gzQzU{@k?CHf-J*Vj%R0*E2-pWAq#=v9<Oy|gl-l^&M
z_Tjl$-BNCoXPS=Sj{Y@|F{#;pvkYrK&xwJX2aIvS6Pi*yKYTmNxWwXQ7>+7F&T2nf
z%$AZWZFK8Mxh3Rq5Tp0Ar(~TIRiuXp!W61ypa)Q-DN&-mEzm)?f+hPB2_qG8HXMho
zdTJgVhR<Zh76R6SPCux2)7GV$_O8L~MkHR!sA5M}9Uqc&YZAeuR#9}Of_YT&9Xl|l
znlW`2!lu}}SPX$Y6LqLB*-w{^=OcBvB|<JTPy*ziKxxHxj6$?xoD<34WFV3ws-adW
z$)vHdU$y(A>S%YmXTJX4aB=zGC4<h|-+xse-r`N~?bua4a~;>!gz}2!Bui)y-?=ZQ
zN>j{6$5Q<MNGZUk)2pl2LHS6OcT_ipU-E|mN<A%&w>-d=zdb*>I`09bYlOV6F0n_-
z)}w7v*)~v`o9d{|ypHO4er=O0;|jTr(ZMkQCx32#Qe^`-EXQGX7p(kWMdx@>N@Xh<
zU7vwVfwk?FH~+`BJ)P%NmRxyCzrh!P7wIDTKJefh0?-r$<|lF4r*+hF*EguaHM
zM>W2S_Ank9%lXQK7B(IYW9Oj>QH`1bnNLX$g0$Z@P~P$u0bAy&5YxerZ?k8oT=JqT
zF%CI{c+YCuT$v&A<TMZS*E*gJYsTS9rF%<yLY5C{0}xGIO!G6NN2Gc)B8yU%&zxd7
zJ=mAJ-`hnPh+mpx&yMyzUAS_RKbqK~uFF)z>cJ)&2>o-z_!ne}iyuwOVrIS-_5uPq
z^&laUd`$a_a4La{&|`f5@Agy6PRAui@&UZ341E+X=Rw*aY9DKsED?Zne5zi~6(Qu$
zy;1Gl&x0AUmNnBJ$vMF7&-bo2PK+p6v+W-DK5EjgV67L>=o-kAIS*0_8-+CmF1}ki
z@j+R{55tR$L_Z~gj4OvgjD)?_yx~or%SLF-<_T1^U}#j79g?$&r&@)12L^r|UFny;
zSG8{D7~l}|?mrXH|5Q}$o+hb@Cr!(y3D`Lp!6~i;N;R187ciFju(q3uoV;aXfKk?@
z#Es;Kw!rp04g$}In<r8~C_|+vlPPp*j*vy!?<kVVAfB$LL0Pma^1b;04%+(0@(FBm
zV2?n<=Ddm1rDX@EhOZHbEfiGM_zIlo2@0lYw}4yC!28!_XQCAD^;<G$Cg8^cW>)RZ
zZ5$lLHB{Z*7bCJXI)gISzOd%#t|d0j&N$4ru_MRYT#I|Za^(*w{JJn)IT5gyS4i^H
zSqh&u!yq1{>lCBBI}>UHTKW+KJt3czR4SU-yd61>>pUiQW$Vs$hv1V<Y1-M)<@8nN
z+|gP4Ipd~BGHpCxYsbg1_SAO58v)NaJ-o%*-G$FW6c1^vmbew4R*&vV1fJX4<8_RJ
z*#nwO0^e$6AuTuDt+afE+f4;BBgw25?DQ}H`h1m9j!7G@0I1H=<i$xy{CNEUkAh^2
zxVSjd^8}y&qv^C(FJyM75q?;iikXBb>&2c%!o2l)O0|)^sMtbTdOv?$%ekY!s9S$x
zr1tFW@{RP;5MLUa$V`r~o&xpSce<A?e0Tj?=P(NN+}^ZT265Q0?igF7u@_qA_kEI2
z6gsM?L=WE6arSvbDwW3aSms?>4FF82A5&+O`ane~_4LY_NU^OOp8h9gAbDqqz+)!e
zB$1k>=cmhM_KY`}Zg@_Kee|rMu9UH~B)^{OpOEf#q8x&8x~dM;Hj5P`TvwfWb<Le`
zwdz6gdyds{*-pPb_@DOZEA4kXkVhpbS(%q1W;XM#m%eTM2%RI}TtvM+kQ+jX(kGof
zyFo%y{rM{$$*1|we&Do05$OppZ)%VA?Ap<p8L!sbO24N7^$6?uhIh||OC2hu-W!io
z4NXF`a`aWEkGodO6pnbA<P6DK{jj$}?=8E0yN{V%IG~qeDB&hAgK%15pS(j-T4dSK
zU6lQl1a$05pmI#kf9tN9rC6gE;=jtRDXuW79`x0c{XrI0*=se@U!T%-=w1epkOgDG
zqu`uqQ1<Nu&eNV^51YeCLz+ixhO1^jR1=h~#XLq0QORSEP&IjEsosBtZr~Y7=TPf^
zj-O-1u4SNVk2;J^y#sT4Jrng=9RurR6eo7i1_m^&`lBDYHJvD^P+eenDmw=FNf_=+
zf^vhxb`F4>UYA8)AYt@zXY6vX1j^9QeFHI#Qy1Z+9EFeZyhZcxO*D#N`aHX4nbF<J
zZi8H6<r1fS=>0&(%hVN-Vof-!p;Ujf_4PZEq9M;Gr_z-ulMgOh+Tua)QhNgpNed}j
zzoOw>Hx%!m<gCVixIDtCKhw>#gwerfwVoMt`|x~`*1TQ8VxXf<p?zjAXzNkaP1OaI
zecV|@fIev9_}V(R*qCn@mUY<&1&N@&^Ll0QuyhiU)$(9PiiR(`vI}ci%O^MTO5-w}
zhi0<N^TWcU**n$io%nL$8GhBOvqb<Lk~7JNw17AH&sK761Rp-H7{iT^-{U>FK=Sjy
z2f#n@z3vqMV@0D=)~iHG{xG9KII!7pYO2ZS&-Zs29&a<Iy$LDav3IlYRgV_ZvgGi^
zo_x^XCpxyAP=8T+%s7(FEWggPgUxBR+X#WdIpkQPct0gQ<@N?-_YBafsiFPY_k5&J
z1Tc;pvg0AOM%5rkj~MTjk&)3E%Ub>jg$}E#<Y<JpWPKd$XO>w<;sS(Nqq0HQk}+C8
zr$kZvI!hrJ{8o$veZo2y{al;IQO0PmJ5&>BQpW$MAU)9XTXyJeo}v#;W02*k97g#2
zD{nqrzKN-6Ys2S2K;k8y>!1Jd5&QLvw_1QFyh^y)sTBe5JCr}ycDfUgpOJ6}DboMd
zLl4F6FhjSoDF&BgDcQFb%)Mz>3XXFgq2#^O?$yq}=AWI61e4Rl65M@#bL~<Tq*c>O
z(+lTcNaxK?-DD=21^VzF%l+9h1eFwqmJcVO-GANZ<FLKp?#gH>ez%F|gAC?*3U7?I
z%K5j!tw|vfd9wU$DG=hvZpZ_9V68mq^pY|)gaUfC_~F2JxDQ*To3%Gqo5zy(;uE@S
z`_#U6Q+a({8Dp46AVW0;IH_J~0T%U|0(P*4DgO7XKsrS_&$MtV)7+<@Zr6mzplsmm
zla+vq`<KNNlqA2wzO}U>Ra^Df=<xq!nY+iod{yUKL+%DcYGGGaru#&ABitR~0*4af
z8njoGI8{9UJG{9?3Ay!Er&QAcoyz7uc+_@3YQEJ#ZYZwsom<sgSkiryh7@T%N%BaR
zc8iB6<H^8I(rflOs<achvQuICZaL~M#m#g`hH`Ng>L^r(>eXdKOX&NM?XyyFg+3MB
zqyyn79U%a-8Cmfv<Z3S5x0XHFbQ;@LFD~mBX85Z}mROD%gHYmp5Z?Uh6=PrLzg=b#
zN%e%L8Rx3O{FR_8XqPkzZi7Sdq&hJND$b?YgYc1%ht(4CLf3+;N#v!{V6GoHY;0^$
z#wLxJ!#^=@d>ef$*lm6NlEFy8H0XQ&1PEG=uIQw$<MXyu*_W10txPw>4)g+f)*{V~
z-wLHpjRSmI_t#&b3~q?KL-HO<z)doeVC5egKDxw4SL$2l%Y1CejT~+(LJa6TdHF4y
zuwMst>9-FP-pnjJmX444=ihiTSS~yC%MVsYt-Uy8Tci}1#}08&FPlq9IWj8(;NQzG
zD-bBkGHaoIrOFywirFxpqCjaZ+Jp0#BuJufp3Zy`ly(2raeKKZZ!_WSW?2yqu2yJ|
ztVrv#lg?9=QJ*`!HzRa^Cinu$r=pi6cS+t`11hk+rOc$?mHkk_ViPo{7513=3bm1|
zI7$Q$jzN(7#URG(F}l@S(IaBjqKwbAsbD2&zY+U^g<kAFFJ{AqIVw?78LzNb3}+BC
zFnxP3_|Hbc8YxLqSlSLKV3$Y-4GRsv56^x^4n~45(x#@PqBe^rlSiTFLDdsTbq=Ep
z?&Sy9SN8(|fbd#p8@QTp1a!cV12+lKC}bR_WIVq!k}NK{o?e^cFC>;mYZWX-ou}4f
zra28}RW=Dmqr~0k6zLTfZf&N#vQ$>Up`-%wQLwg<L{~Qk$W1nhFc&;|dCl(@5itdK
zy&`>HaHqLRkaz}JP2aO9@V+>?c@XPz-XPqlg}GzHqGb_tZfprLvWR=Rn*R9)Jn4X%
zzIMsvyjN{dit=)*>cG&*@rKXZ0s3rzz`x07zvnJCRog)v(?5FL+XBxOn_5$}jRwt3
ze-5v0%|=SCgAnTjaZALIg+>3#)e86K+sIRb63JU~+uB=OA0t0*kdQneQGq_uT|YQk
zL|Ry6#|e()XJ)D@lBpZeLpAA*|F(hrju!>5P)2Vnu92ApeC}K#nnht+3d~l4-u9^Z
zrE``@VfXIF6+Z}IoOqVRtTF1<=E=!;SEbvbRmfSiXr+F3ZZ{Rmo1NYZdVC{Z71(M2
zd<g$mBq0V~_vvjIVOywY`2%Bk{jTD4|JUo1Mj5=%+4H<WAU`B8`1#STr?xo0pf1$#
ze;@rJ%t?-cAD6b@AUzfAT?MOgeA|_6us3Q~DgaP0wz|+NMHr+XFVXLm%(&d0J6!zR
zd5_O?l<KWeA{TXSbxXExG9ELveoY`5rlc)O<%Cl1#q79+qCPIzIWS*_LOY;UvcHX4
zqW#-Ow)oJxJe$q0Xb3Nry-9qj?eP2KW-^ETxyI8S%Xc&6Wp((42a@i;BGPvD4FCx2
z<m_z2XRZDH(8sa0%F085f?TExXN{`Ow1W=nmZt*-L(n_s=SoU=<?L0$`tRKMx;5S8
zd2(`6B-z%mqKknC#|7sD`fboeFUCwxE|mJ>nL0EvJ8wYMef~sWIVt+<)<D}8!V6wr
ziXcp1S_Bz5&Bq*Dch$rtBmkksyKxa1J3!o|jMX}f$mmhA57KZHq^NJ9gf;vrNZ}fK
zlZ50H3h3KGoF#l~m#a5iFhSLycCas<k7wx#m->9Sb;_=6JK(4BlYR6%-~!>X*Do#u
z^g?bCC^!IoV|pfA6rMiZ=KUy{6_MW4GttV*aAu{)=@SrcidY9n%W&5n!c$wHu7lqg
zcwIz(yMuBm?tVAJfKlKKH2Ir9`F4xhq>K+6Zx@g%UFCaNn)&)65VL3UY6Z`cY+X{L
z{Q1zl?Gzt+jxYGz!3o+qL7*s}OZfLWs0G2nPi%<-Bxfk|V-zUl;EEkAkOwVK|4veS
z7Ts~TNZhU;wS|IC*z~*Sb4Move=t+NngtuKj8m@Fn@H2m`_<OGo?V*Hn)JjqMnyI5
zHk%Q?w=piWP-hsB?Bx|4mleQIv$H`KO|vwvJ%pg$Oc;zu)9EL6LZb|*MF}018YeQk
zj#U^W2mu`C4Ag?QftoeVM|(h&G6?X!YeCyj``S;nK&QmrO&4H6`9jN}n&jie$Ev3q
ze~|ci^WU&1L5HC?XW9I|d?bjm0WP5TsEc4MpT2m+f4Zlr4XWzTK%W;u$2sUxfjTH5
z`$s5GD^3Fn7X~4C-w^z(-GbnQiMjLjIiJC^PV-a6hN)nnc?GJ~c3uJ5T2P(|+Q`~{
z$b3mi+!~d+)lexnyeIRE*Bw3xkGh9EY^6-LdIohB>H{G-IQr_A>@9skB^6@43Rp_u
zGf?et|Mc^H(7r*avLY~;`~!U)EVsS}RugLK%7m5)g!7<dcT*q{32cE-eR%>TH-O$j
z=n0|0?JbZQb)UOL^6BX>WUgju(J+^W4j#FA0&su*iq?rcTdqpniqJ2ryaQ|I)Jkuf
z0|{FP1Vw#97w4SBH?=kogMj!bdm)?3#%8@}o+hDZBriH-K_X<~JeAOkL@4lr?tu!=
zq@)ifBrl&~X+1%p4#w~OuiZ7i{qWCX)8;|@**}-rmLs4Wa{6v<>|R{b;^}ROv@uOK
zoX;pg()$wl%1=qoQWsBin<S=n%XBxGf(|C^Mn&~hiJf&nPYKM{(7gdbgju6^on(tl
z3SVXVQT*?mYh0$eN#E$`%Bi~aRKL!@rOhD$Ip6h3Od;3o(MPe|f!&0|z9vrm>{-`D
zt;DS%{Q}T12J3wtOiB2eTLS!t)7_zeUxz*@JOn*dd7Ajy&w$E5G8!0j_yfP6ry_QP
zWWxmVby~z_5<h#8w+eccgq-PL22-4nAh2TDb+>D-z23MCG<>&x_0>^jk_-4w>uIxB
zs}aOt-=%5KBJBO)7+R(aH#ZN3N)Wad$>tY|YkxsHaGoGV5KZXsO4^WbYj4+r0;Spg
zOi}vV5c*qJUH?W6$sJBxZk#EA9Th!xk>vC*(0q44S{e*;M6<I*H0J)wZYtU>+ll%*
z4`ABaBg?;zm;exOy78WV-V0QLP=Gt1v-A4w32}NY-dA1-adq7kDL7KkDIxUy9D`o5
zjq^;Jq_=IG?dRp4SuHp?;_P@(ozS8y5BS05Yf~<egz%}P{8?Y`Ve5JQ6&Vd`CA6vd
zLuPK^AqZi_C@6vYo!9PMrYr5cVUoh;kON16P;h}(1W)i=ciy6IZGjx8PQmeaV5RcM
z!%63a(yvR^0+Yjd|MO$gIzCniit3o>(kBl9HjP)C551Og7djkargZ4SZhsg3A_(d$
zp={G1=l=4?7T)JRApVpE-$su=Lub=N&aSR=p^F3!BQOCQ@<5q@prRX0;J+snoB}0?
zQ2#SZd~ff~R`KNX3vuCblxCX*Ln5}q&6+nfG!ToEXQr<L1JR@EOkj`zfGuAn%tZf+
z%rj^t<*2nhDhgCyhlO1s_s>7{*}O(rLA4dPD}TWjp8;*m=d5?Vbb*^9^k21a1HEm~
zZFfpAhm+i)InVP`e@L_Untq1O-MyNR9!odL^FX)!ZTT}$f*XgpXBM=r2u^j$TOc_5
zbKqHFmZCOc$9ydvF3kZ+ayD8{wU#Fj`@%(CxOhT10!c{Z%kCJ27oySphhH^;y>E_9
zI319-Z;=wrGI;(=<iFFQf0g5Fu75c|8TGaB2jAd?wtK&yC_;%JbWcQnS0w2VFmdL#
z9_ugt6=svLvIhMX{mHUW-<{+x{gi<i*OOP$fo+5n4I~A@=e@}tgO{PCDk-OgW>rw8
zhvCfk`;~2%@Bfu!mvqVF2sB)?kq2+bnYaA=yVRFi;J-`<IR=%yC+{k*koZN%7QV5j
zo-(AVa1_8HB=i$!tL{%EF@(c{-;c~1IV_hBg5y)a!uwk%(d`!1GG2J3F-oXCBzRcR
z2XM0VFtiCsD(@c=?363wFX-FeBZz!pX(7$-3s}(QCS}!6XcGWb^k0)ujwCN%hiA_q
zLd|yZx#yxLaidm<z@;%4l!)|)Y$mBmCvlK)33;PO{5sYTj2F($|LvRqTWdd$iv}ka
zp;ZUB7DQ;!{dZbg5ONI46)%eXo83G!D;<>rtO?m7c5R?mIsZ}cF~RNLSq2CDEc(Iq
z_=WGYGn43f8!c#f>ipjy+BHo*HH2!lr1~=%!bI{FEnVLloM8$Af$5pV&f{ts$T52E
z7!77}d9>iX-g5(+zyNYUr>A)Ne}o2N;EifBLGHo|lx2KxdY_uP!9=c3ZB*X^y<uA-
znK=BBc*=9m&aW!`vkh4?2w5_V3dIvzM}Z#n{ZOiX5IJe0^%0?=p-!i34mL9d*Fckv
z`}F9r3(fX%CrHzUSCJD&#@qx(2K<tZLNp+vH)Ev-DW1cWuEZW{O=%Cyg)-1wjdc(D
zCicH6drgRYE{8pk3_NgZpS!Q9ol`Oh=wiyp03Ag6=E*fvCc-;q?+{+u_e6DqK#qK1
zsX`9N5qv_+I1yf;gM#yr<mF+>(r<;kgue&Qn3?cq;^+NkLI6$tWRQSBjrjRQ@%Sat
z`am}J;{U7x{J$CrNbC?lFK!UtO#JX&07gapyksX_eu$s{>tFgVTmVFUoCUam(9nOx
z{QY-0Lzg=W#tkIX2-K0`Rm8(R;}RkEWi7_Ed9UGsUruFXfynGe+fyZE`%qt5>oU#*
zB+V;=yH5;2s0!)_nFxPg1f%K%)@|N;P@a2aeKD6yyqDa)P>L%S=7U$t%-)qflzj*y
z3lp--OCC-76--{>9t0wu--I=h<spPaLHo52o-_%cu#bEpCr@TAc*;LLowm1L5qPp6
zEJqDhhlVwI*V9MM1Hpsv2a-RI2^-+&b8w#{@nZveY5QyAk?AhXSx;i>AM`;%9&V9h
z=-tZ*R;{6~oZXkg1&mVSz9X;pe$aX@_tOpS-Z_3m7{Jf>giYi3cSp9}Yb8Z9>+(nS
z6kCrL+K|w7d8kMdPnkDPQ|`lHB25>&MnvV(xcMaLF9vB>`S*c@$6r3ZO2`{p)Z#Y&
z`~l9v?oom9*RbsVyUssWHf;PT7BAPh<C1B<T#Yl@8*~)m;9Qn)nU?fejE4PHyiIrk
z^v5;uJd4NROrv`dz}q$x^Sm`lJ)ph@ZSv9CjK&^`*%LjA0h|yYRr|Rm;lA3LnVBv_
z;?Nl#37h<`M*AFyJHw~ShS)`RBlMx_`5ZonU4K7@-V_xf7b3Mi`-+%BTT}S!gIv=8
z@5$=%wYhw(rD83`TMG(J5j9Rnx;m@*koQv`-Aptj`MPh8jG(FuI5(puhjzP+<O$<t
zv^9j^AlY)G0<{WFY+ALYl4&p+)sHG%t2dgE#cz!s!-b`8ie`$CQ~OpUGd2ba+SLqq
zZc*~0;)P(nU7<ur=k|lR=!|d##F7F^<)%{06Tz|4&-G?3>}>jIdA5hq4ywNRqiy5x
zy_-q4r+rp-cH}2rZo=0;AOHe>hBWKHn2aEnG<st~+v{PTy(l_=M!I?9l&A=+CyT{y
z`Bv+)>yA3T!8}w_5C=&<NuFX(w!kHi?CiOXRN}UgyFggB`7K#3Zq$0mO;*FJjMaV&
z;eQijU^0i@HKYAu*~*4XW&gDrX{A_)+F4%W4-)p*gpP3Xii)Hz94z+&U-o2<c==?c
z`QI`W4S$0tx!momRe@f}G+0`>;XArh+$~C)!Y4;vFJT}%GzGRZ>=8b{uhwa@PwIuo
zVDi=_o4j>K2fz;E(G>LU@G{{SzP>`Rrl)ny&C<+CfiA-0GcT<=9|<Ye_Gak4!Rf2*
z2h1Fvc{EMii_*kR$?v_r+X`eu<*G|Dnk7<{)%CpYi~uWDDsulO@xRwyC%%pqCF{Ra
z40DvuJNOWFnAjlBi<vyO>^^&?mIlKQ703gd@RBxlqQ7_f2@3Xkgy4Hg{0N@))7M4+
zS<tRkGU`w#)w_$#4u9}Yzrvldy;Bd?3r8RPh$Vc@OB=#vcWW!X&xX&O;DcYjCY>Vv
zKj3V?Ke-3KU7k&26x4LAc&S3&89_I+lD5}3MZ&s&`ur5^A4$GS%#i%Q(~XTPA&yPo
zm~KR+Sz8c@A>_~YMipKRQW5?#ke=}C-~L3NEK9UY(I?clGG%gT-s?xAVy+i4AwU$9
zO}KMBA!GE)27gcD_JUX*6<J|Wov2jgbeKrD*F#@Q3W0bi@swgJB#7#;fCU5~3NJ|s
z2*Jxs1boGfYr4f>WOIFT``Z#Xo%3h}4V@W}^DQ+g*259ChjRPhb+Xh5=hN0~MCoIa
zm*IBtDx=?}5UJUtk=dHv_Aus?3xWB4uw0vtLU4+noP`SzH{~57eDPT=r9-L<N1m*v
zlM#0IJc2#Z@{TH_(juQ!CVS7u#>SI-M6BZ)vG(ETQJWT2^LlMm)(=w2TPlJ^YhKH>
zX-rb4Z^#;4W~6^x5)J1C!E_mA=MGV6d~DoFC`<VVc$4I*m2Qnv0WGG~JgxQr?Bb6$
zeA@%R?GwX+3y&#ffSY`4R=r6bIY6O9)$wO%dJx~=q0l|%oiU=>m1dXtJCO{C5S_e7
zfm#DF^S712;eIC)1XnrP6L-HKmqe>BBDdto4aSnK3Uz(pQ$5{-r2=Yb41pU6>3Pjm
z7(7NIt4~bYQppYl?(}dzG;Ln=dIF1SR7i|wB%grPEeIJ|rDk`-O7}sbT*%pRPb%l#
zW=Fz<enEm4!9o}^f{e%L${XE3*9N6ZJ#+g9+~)3Fv&QtngrmBpOn+~0r5l*_)c*NT
z4bb3`yzIJ0@F4GBECYHi9+WadrXXkdljgIk?r!?re$$K;eBJ$KSx+pD|M?fvhc6&<
z;F(W>|0~m>h_a{{qd*yAsWVH(v!^CHG`n;c+0rX<QrE$QgL$4H&yo4iTq%lRNq$L$
z14`25(cjN^15jC~kI_s^53E@x?m|uUD-gBAwq<`pGP8PUi}r!CgpaT9-DYd>6p0_>
zw~jj`Ki#xdgMm=|dBMM<`=w&nSRB?XEtZmB(7-ll+!Y0~`kfSv6e<vz0;a28()~f-
zB8k_hqDW9&`toV%usvV`;}Jf%bmu8~y7G0I+(ij9%-1$Ybc~?*ndwZca}+2}0Fc&`
z%v*%7OkyOiTM?L$J6FStKWaEwVxLMB!12~)eB%--{^HrIPqZWpWmyW18(aVdcent+
z@<DLPPk=3f_<JFEFk~|jXRq-DY8?|Dtw=kuV(4mW1$j0|eMKsht>;1}al0ll6D*Sj
zQ&S^UFk~LE!cLy<By0uAWuF-2m&he2PxZvTc>|@o{Q3Xg-bsvvzn}L8H($_lRJ;Nz
z!6zp6Fkcg6kQg?qYb>P0j+i^OfQc2%+W%@CF+e247_O6ycla_XS-Xg=%ZS**i7TQw
zP$uT)^1p?NmXJ(zCExRdc6wYI5NjF*k#q;n()XZ?*J?i~gcKK!0H7`MQwD_aUil-U
zbHH?d*dpxNWoU7lmy5eeMg<QKz$KAVp39F(iGH-}GI3V{z>q*91a5zwGc%@WjHl*x
z@~&;rZYPsB_{4x1<R%dTYKrHorY(NpN)l(3L1z^-XRvxZ<Q0Qe)K?%viKQLd{Ur&+
z;*#3o#2-gRM4fw#|Im(a9)hba5I>sBryv(;NE!>8lMgus1f)qdO2j{9Bm8Ly1-RFn
zwuiKa2KGjBntV#+pPG8OS%<$G{`vU$7^q@l;5N(QRRniQGRsa_MN}sK2qX!Pjdf)1
zL~b*xs9`17l#@#XC%kI^Ioj1xU;YeAc0t?FlX2ooZW6uJ$kgoY#$0|*_KtHuUnMV6
zM3d5Jh(nd<S;o}{9W@>FKA1?MB0>=Vg3e;?1^5<FZ>?^To{)Vxc~sZl+33VcRwX}=
z7r~Xbq^$c<;+e6r@dl>#H(^*WVhG6SizX@j2q>jkp(3X%^|px6Tcj}`7M6Ldg9u{k
zas2F%!gdxiM{5<I4Cr`F1TydL5yRl0OoZ6d&;>Wyd7sh9((X*^8eQ@OPGw%zU>eP<
z>WSG#hOVOYC<p0v>bMGcZu*1kpq(xjvrYKk*Tg;NL8$;J@jGL@JvqG|w#+jof1Gk|
zlal`x!IF}Hy&ktBt7d0Z#-~~<pln$Cbt=XuRdxvE^r*YGKhF~9r{xM^QkSs(AY^Wr
zdH=cop>L^+bdAVDr5DfQrws23LslBqzi~B(|COoMGH=aPGIvX2Mq7<phdz35OiQtR
zV;~$fKi_-_2h6P_0HC#)n7iwHTrLB9T5*#C_s()T;b2ko;SU-GYeh@6#hmH^)zP6j
zb8PL9MLr%Nwg0&gb~?!{4Z(m$;tG|y(_txrWqVBAPeY!Rzp%NTt6LnrscCClmS5u)
z8`Lv<Y4c|c%oQP=J8-8sgz%^zCvnf2W!RWDpvxh#mmn0eKRo%EMAY=*4r&4mF}u4D
z4lFS{$G&82G0KRuMm1ve;Cl-J_FqOmCL>#IDLUeISWu0ki8hr&G(;#;jft*Wo$Vc)
zK?lRxa>F25a@tPKIB~%?sfgp$QOzsM3)Pm#X9myx`+R&LJLFwyQx%pyXXeac#W8hd
zo1rDVq#k1wQ}}zEniz!36YJYh1_GHe%BXzqdx_Jn3+D>Vd9II|fDG)q52-}I^Y1ui
zM4nAHZc^$Q3}6S832?NJn*?!wTnXpri<K)+o}=~s*;*_Nzr(t!ZTz0i%D&0osQ~4$
zd%<(Gqf_+i_<x~+hxFFZjPQ3)4^56ej!o>A`_)r=5=@#{F)u$xzo0TuG@*V4-@9Tt
zCZM*$qc~PeQ&R6}(`l(Te$m?<NSGVhy!BDjwI*$f-oDCp^A#CI%9}ST%K^(KCkH0y
z4-@~nBUKclRcr@)4tH1kN40$AXSDKG&hs}ynjI-{%Jk5T;^k>7j}XQ#K#E95G^x*o
zi2C<cwM+p3)kW6e{~GECmZfLVaZvP7nU8z+0(_dzDpJAXXlH3)IfE;feu0IQ&t14x
zqtkw*Oz(?3p4x7#TyK5th_Kx6zY)R%uS?uZlNf|&)AZuv;%40C<flz0E<GviZJSyK
zyTPI6JLT~F6!t!}d;NjVFE$0cK<|o%ad0LuSzQZwP8bx)GBsGq$6fYG;-T-o_#+IP
zy;cep<KXBFSga@W<<I>>>(Ta(j*icQjbXREZ4Ve0yg0;?DZAXM6ln(tTj9k8V&d?3
z3L7006MB5jA%`M)tr?I7w736z=^C60qq!Lw&d(DIfe7bI{nTCm?ZZR_1YTabPFTt(
zfJP07U(!v~Xz)7gI>xgIguPM(u$)Pqtp>O{ufcP0Innl5<^9lz2|91WfL~Y;eMRFJ
z!D+yj@MAF3yC@%50oRM+qin(Dya*9UTmZ*20rTIw_gnG~xzJaB`NyhuQK^4}iD-zS
zJ;6?Bs?JUhlQyPZRx$RDDerioY>f~IrIwMMBCY1e4+}uu3T6R_vR8J^OpS;#F))C0
zVtr~e9rko%#~|ln?yo;2Lx5?K?RD+MANL=kgn{|B5?{=P_HH$6fIl0%sXgGG8^&M>
zRW}Sxrfz#d3D-zS1RWrye)(Yg-+O2#>lytqptTLqzBuk*QHm$E;-?#ciT&iDvlQ=n
z7B7TwPGRF2p0Ew6F<JFzj{1*au7+8}?|640wkvuop-f7X4;r{Am4Do4{YpkR6|z`m
z+pqD<wjzD>cu!Pgsyc`h6fpR#PwG{-W(}1d1%2^9Ir4cV)zoEQuIC|}91~s0wg|T^
zR4;&=*rA=oPk>^ifN68RA>SY#ON>t#2^TKXGz>ta>p2P!@^+!c$l4`lyVOT>Dzco#
zY&fcx70FsN5vW~;D$3_zwmmeo_1y9;?Y*6qJ>f{fv$Lpf_d?-1zT2bklHHcCQ&e>~
z%i8~mvl2mJz&*gfOgAU<Hqi}TBJQI9fV4FZ&O%$ack*#EJL8JPy+9`ka`J@^KC8uM
zEUa*U7Cx4p#YGdRi1tS7vyS9X>Bg!ZJ^QyF7&z8;c9KS~p3BF1Y?`0kZ_^ReZA16^
zXrWqDS;~ZqN)q1{{E-+;eEQ!iaij45Y?nPRAy^TZ+DAexh6%}#c}gLOFqXAMuFIaO
zGsdM|;2gxE*+^ts;e?a;q}pz<d}>eqX4Snf!Z2*st%uf%LzVl|{k}#@+<IvJzyMn<
z;$`C~OpO;z+IR}PTG+XwIPLS6Vwg)01s#@xgNY)4>vl4`rK-Cn8_KqLL2?#I4Yvgk
zz4PjwEWxB=)k{`%sT48rfyue{3$uolVid3K?lhWZ+F{MnuPyu-8>k5z&FoSYFnvCg
zPRkk-0ZtXxGDC!F|A+1#dS)YSN@h+({C;#LOjbk6NH{|xR|93%b5-@aZT+6C1{9Yg
zSyjwUsj%oFWu=Tzir)@Di$_S2I|RS<?If;u5Ye{2;VO+N6^9!wpgFtUv|aC`oAOcL
z;hD;wRrLqC8m~R)=sDO9O=iaLB_`JBuX3p1ymRA?=0?%aIaCTUE*N2Ge5#<=&uAAF
z%Hc{*V*24l$o%3hVC|$~FYN8#jX65(*9!G#S*Gl%kYCB3G10u4Z`hYU$er$t=~bEJ
z^hUiYWlN4!NGa(Im|5Iqt(s!9MTz2IXl$+qXRc}9&@T4;8}+LXWwq`y{iMs%i|pcj
z4+pM25u7t70*s-=DvNJRyGIId-*ixQiCOm3LkhXf7MmBM8lsiUEE(?>JG`oSju3fd
z0k^<<J7WzjzU!FGjRupD{I3=O?ao5M&5HJCyauxk2+%YFUh((u-^Fz3AHNSPlB>zc
z%c!xAY9(`~x?EJt2qMt&LVyrKL~4S94t1SO!zWvU2Gcapme{xzhbbUxQ0!kQn@ygl
zC134_Hzl`GjcZi9O`@?LWfX9cbYZlj)=;cR6WIN0&9cv>gVRNpq;A+vQlJVg>hX=d
zwG&Q(-2o67hywXhX=ISpp2jMff{%n1`w5K%SKIgBt~_}V5p9)RQbslD4M(=FHZQ2!
zpuOwKQydd@)J9TZHgj|LI8AQ$ULI2lA6t!lP*nd`6s7B4=+tV)StvN2U*eE+HQs+B
z=xd1%v?DsUwMs~ZDoI^qAHWRb-mhQ329?kK2aCH$>}nZ)`4aN~pYQ&5p?7KL`}bJU
zne}cCRu_J}?A}?qSmKBjqA@K&l%JL#Js_x>Qs4D~D@FvJF>X(0)EB9$Q~ROE-XInA
z<iQmKq=x-MX}QGp(+BoK*y6Or1yTAH-Tlt(ZCKp|5*d^zlG|g?qK=H#AEmo*2Ut$c
zTm0Msjt<0kH-iaN;8sYuw*4l#bm`L9uV2R;-xN;>@(5;-(OJnNirEFM!|SrTSxVxE
z%Xms0W+&h5mRoxl)lL2_+o7#fsE?+za&)hh#7{V>T{o(j;9BLTYFx`XSPgruq1QS;
zZ-Mr;6K*c0qNwRjyWjQY$4yq8qvrZ#Q<1(5Yr)V%;}5qM#t36zye7GHk;L#fK;FB%
zqjB)-=BOjb^;^$0n+CJI;2rU-j>s-myR;pYlaWXI4wK!N<W#I`YDR>Uw39+~8kbFc
zS}%{DaLIf#WxP}sgRQVt0tZ6076qf|QsBnYmZg<Cr1kum&5w>wNV20JX#VLSAhRUt
zp5o?woI5a(5LJ{0Zw(N`U-L&10eVJuqT8O_+S>a2*RQBXPc?N&tcXikiJrH}Pi1go
zqx+_nQkgohiAMa<ta4G4YHai7I_ob76B>xmj1YIOHIUX|Wx(3fC+J}>V<X@aaDLv-
zh~cFe75xe+1xeNMV!p^^Ytj5ZdaP5?e8-JUQ1lW-CjvIkvu(Gx_HYYx+9)8*9UdOO
z+gbr;hoqSpqkqvW)5Ugm8Kdv@1t)JJ&;uP%xkRgUTME6(F|EEU)m-ab>Fik9hC-@w
zo~;&b?p%w;wB7H!*a-WZ%#M_TCHzK%U!4xp1A;ZmcND%SSg={4f~>9--C%*!&C%*?
zPe10ao><*>l)hz?qaW89Bgn(GL@tDlAFjbQH*kWZX{~tS)~#FWNpPZ*=puHHU$jBb
zfJ3XO4bv{aC;Jqt5N%l_DJ9i&lqRl8yKjJ4V=BceX7&7O$dSk?rOlg{g&^X41ex7w
z$jR|#xC}m4H7J{6UYuds%jkIbFSs}2ZENb*!YAl4tQ!J_?@YA%1sz{)g{KY|>YF;n
zFr<=^8wr<K$1j{HNlR<!pwbp3cN;$vr-*pfzDP~T;k3C<uCxw#n-1;j()XUe6EZ@P
z#?wKD9R)P>9$LkaC6m2P)3A)Ki>4(v!iowB<H*<Bdv4ModL8pHIOz6&X<}VWths^^
zt4eXHB9TdD?1+Aai*q&Rk=5;?0x#rMJ86v;t_`)(FMs`1RMntx#Qy>^tDA&??3L<h
zT6A%d9gQ&7WL!hXvfm@wuaNpOKMJYOOV%>zZ>?g;8qGb(M{ZS&w#lHiixH~Az4C%v
zXV*-_d;Bf=$E8_q6k|E=x##RDsmR+!32A1;zZJb5Ki_8lkjjh(!T~|3^h$0*Rdr~$
zxi(hzl@W5%()3YpF*tW5@Ya1xZaPE&N1IsF^PiE(N4D!1Q2}4wMrdD0ABBkNx$yG2
zl?Z3IS~T*h1Ty)iY<I&8qA87vm;~UHev^O2$>VuZJJ4cGCYueylqHQ!JLlk8&r1x_
z@2mII!CaiMrPA7CghNbsN{#g`{4_PpFFQtZPzi)W_Faig`^Ryk3H?hrJK=0<Uj4?Z
zK*mD?$oE)+fIt}jCp*Mi$d-K;AU^2-_WAQkmYsADPL5250n83#XneGkrkF~vMI)?N
zDM#9U1mBzrx0Av|*gNFuO{x{5uzr(%eEgowZZ6U4IR|1noa9F1Wp9?;Q*3m9%J%ye
zX`6`S97Hp0!t>&tWLnj@(JWX<p;JzY(k9QM&d_MQ5enM6txyEG?hv@j&uEZQBq4c5
zM6fR|`R8w*Bt%_*n%(m*J5>^I-G>^<VN<EZBw#~Wcoj;pk}!Qqt<+)(y-wYw1n>Bs
z8`}3uI2vp9%e@|>n%L;vrej$b6hfSwEHzT7Qj4{sqwop-gKR=J3HLc$;dZHBF>CSg
zv0S#+MC2Qo`{!tAieS12OOTa%PNGd*tWaN*H{(JxXb<MqF+<h*&$aylHyJ$QJ^_^U
zq9mS*2!NYtQ)%dbpz%fyfR>+L%yK%nM69B@dB{MH81NOw4du3@+tbZ&^jIjynS5p(
zsSb_%(s<Zocx@hwc4t{wW4PhGP0Dh<-@Q5G(~+gBHmG-3&u7(_sUZ-{jMXX`+)V@M
z_Dfu=g1E*nhCIDA+Efamp|$xh9B;>@#hc-1RH9BLuG`aFJlAbdxXlq`4OAB3q%6zc
z&xpe$7W75(77X3Jef##^y0X={u^i5bnyC8urs?BZv%}(4O$r4*cs)SmK{!3ku^`AB
z$&!L>2<sPEs}o(1DeNrcaW9eFEoP0SW3}<Lgi+kEvZhi&=vdtxsrDSM?VzJm>xa9b
z-DZLv;JQ4V*4_U7icfFaR6grKW1uG7pZ!G&?z<y(%VP9-??;8$luM*)$4^MosOoWW
za9q85bve+SI8Ir@bY4MMS3k@hNKB+z13Wu9Kv8#XWd&pwk^j!O|60~?p~faPMjy=~
z$V6~%2s$BQtQa=EHo0$I3{I-OXz~Fr2e*syP*5kMQ>s~0zs?NrOYm_BSoG_oW$nsV
z)q7IW!cI}x<KO$P%$p_lm*@axjk>LDZXO#1lH4QeZ1}uPl_L9g3DuDO*kr2=nZn-w
z{y^6`;S~JMOgwk;Hc!^Ox-mH9Zqugi8W84LGsd{i3Dh>v{><)Y!`HCWbsY&Zs_XT*
zm+v2YAd1Oq*o7xO9@!+MmR}gBy9dFrT}}e_`IVa;Vi^@})JLZlc|CoQjz6`S&n6)n
z#go}_)<J7G;&}*HgYSwi;UXfZty`OVC&M<iRHWX1PvHvi_xsUjTi3REA8$&yU3}9Z
z#Qf6O&-rY=jCSC94Ys1Du+=5hB_->al;UE{W_J#mh7wk|ETLi~Wi8RJZt9D@5#wFQ
zbxI?p3`x2L2b=8rcy5H0k!_4Ih=j<K-)N^ClsMca7r|<bq-<)~2nWWDh_axYgksjB
zkcjc@*i?m-%Q$gUiQc6Vu$PL86yt3PBiSk?#wu6k<mA@ItLIvzG=6cgV*SfCwB0=N
z$j9ltXKr9AEGsAAozaY?U!ucal&S`f)OY*y`4#Hw$2N=8!Q!{mM4V&d$=#=2y|CVE
zk*6XcuIMFC)t2Ofe)WE4BB5!?8LKl$XBFkC0af5CN|j8mdYX^F@&u0d-wz0G^Q8d8
zcx*@TXTK=`#c*Za;N%B>dvP-g1=QQcAmQ#mBUru3%rC+jf{;P0t}?o{H#CVNo&JBi
zRa5Tpr0*i#E#Ye~>k)=uqJLR`%DN>4xydl#t$@Sy!aeGHt}{~#q3Q5An0^^l)#^5R
zGHe81iwiJwCA%D-Os0gGam2(6DO{gB#6P+Y#sSc~C=kAWliN8uJ>Fk44;BMm1$x0r
zn__5c=rmjl0a>7D<rf;Xbe4rYi;czQ+i)yw#{TL=yIsNG9@Jq;!{x)|;MYvpmVOPv
z=U?PxEEIRSmt0Pg(u%3nZ~H}#S69t0$xwD2h~d%*q~%?#t$gk_^+Zm?i&p=G(}X3O
z9n$3<5EuyV;(Y9Po)X7HYNts;V#=O7P-WhJzLaTRHTJ<RUzKxs5?)d19wSMfyp+Ml
zYAL%vz0I~h+RXOX4SU~3QLWG|eL+`B4Rrk{x#w*k3ep6+bY^`rB>($W0hec8NLQuD
z!RwT83v?h$8d()DT-DYU<zTp6TiWGnZc~uss8sVUAigeBYCOZQbwih@7A6%83ip6s
z(ApiMUC|Qk%2b)VlXk(x)Ap8;TKukIcLoL$dyiM|O(8bRQvFJ{+yHJ>l9{5ATd}wi
zGJ@=iH{#BP;iA=%d+r&>=Z`4Ck+dl^AlYXdML9;<r6zedcqkyBGOEOEh=<9~tfoQ2
zsr1mcPRhtV?Pgg2tdmcgCqzv(PLNM4UjBr_3S@|+T}laCSdxedm?|UC-k&Ecao&*H
z3=vyehoPy0;$Rinhm^o`E^^93y35t|U(&T((zt}M+h;jzx^%4A2wbh4%(m_pjZszo
zCY)Pw^=hCE<M?XdFF$1zn#~)tF)WRjZ2nFekk3)bWm!~|ubRD}o}pT#@Y`qCWCWI|
zuGa}ruEj+*Gjc)%=O#(8>gG3_CrA;rXNNGZ1d25rH{|xG_#4QhV~1GaT2})KNAcSU
z9O&S}cnmV0%@W$tG>=4;J+r3OSy#YbCbyDR)k$(<v_23`DAkQ2UGTqzn=}zHD08aT
zofZYkM;6~7E<pv_c@rDGy1j1+sX?nM!qrg|({-VtbRb#+_b)dh497Be82K&3kLqsY
zprp1V|EP2yZKukFJ6zSjY+bJ$+V7YrhNUiKhZcKBWl^`-@Q=eC`RUl9NOFe-a-%`|
zcy@;z_F5!2%PQ=H@T<A0R8ix=bPDWc)QAHmC8dM3MS?eS`$3)YR=M~{NfnT}(L2fT
zA4*u;F9rg}hqHu};rA`#9^on&Iy|VV(ygT8h&3Ig05TI_QUsN5k}uWD@FxqIm8;^4
zJ9@l1!d@6uc&Fg<**R>!8jiz-v7EKIST?#B{Z~JSpr<AIDU*Nl59+ANE=-wdx<5%x
zZGi`)Cio~5_V?MXi+Xh-iocrq5k@&zC#_SU^{(&nNb+P{K)x?AR(efzaSBZ)0;xTs
zxltkuC+t?r%8sIqIFqfCx00$?V{Ro2VkML$HN~zUC>z}st``5ggvQ;Ro5KUC0#Pv|
zw5LVAI>T!boFo4*$BW{aO0h(kzf~~m$9eK&M9E0G5MRui30110bk&PAJ)Q>;Y~`Bh
zLPW)PPo}Sp8hTODKqqRml>o(jqa*GRGAk$G^Hs~r%J5ejvg0lKZG-fy<0N~?7<79L
zjlE|aYo3=$1W2i&D&0#=d_~91XsfP&wQ+Az22cSK*ES-BrNSrw#3tY7<}AL28GKj&
zP%~C%>=8FZlN0LsyRI75lz1{7_Y@7i&xYycg|Js?{FZEfmX)Pql<{Kp>{fxKkzax~
z`N4Qz4ibQgZ+Ss;=5@9MTW-&*$HC#>A+^5;t1$$8S)d;~_RAS;!&W_I-2%cPoI%U#
zk;hY4UBY9BuF!o`a>cnAujy#|qW}8vR*MkC8U2FKds<t-(V`gbF6Y~^8;`@$<__TE
zx7WNOH{*N0uknVzXkXJ5a#7FWa1e0Z<5($l@_FIr=GNv*0FoZt5myRcMd0%k))=*|
zbBHHbxcua&q$Xn*OtouYI7CV%9s|vw6hbty3uCEkR{~D1XrZYSmZecQpS&*`mdxIT
z_LjiFEd(!w=eFZc9`GwtnH;^jtDu=e4TW0ERnv8Pt6eG7t#B%m>VU`5)xiVfZy-*B
z+FR_0Ats>n7x)u(;>I0>BS43)F=$asTxhIXlhmwZ37bt>s4o|Lo1lfW;QPQ<NsTN;
zGC&Y94hzB=^b79HA2lO|)U0Viba3S^W}A*~JWqK9R?e8t<IITQP9#mRWr+!AW9P1m
zw?uTO=u0Ei2i?`n>g%hkUBPzPZ6#I}NfYv7kH=M0tT$&{_XF~x=@ZaR(*clP+q$Pu
zpDuYwX^d-Wx^QPY3)roRF?Xs3|Ffx`hO4A`l*FS1O>EI?z2z9#8dCiBpe0rZfx^)#
z<?wMruoMtTUupycBGpTq)<5i-g0AeN&Zc@CCW^MtLo;zoMpX3s|I^)dMm3p6X{;y;
zh$x_f3|O!LinP#GGCGLD2#QLTj#5J?5~?~B6+w!0k`V<)X#=5m1VN;P9wAf_0!Dfl
z2z%eSJLk-gJ!gOIIlK7<gs;5qzW3huKF>p?MpNi_R{a444Yo{xHB)uNkJ1VpNpS>Y
zj`;e&bXslZ3<W-2dJL(*HVrX2ncAM1<Gb;Um>QIDV)X5-VCtujdo_~huFL#&gBZq>
zbNE-yTwKs^9~J4JY)lTBbeA48YrN0kk+SvAKBw_Xzv!aOqr0I;Uf<Z3dD<xOrtQet
z$dD2%*k{()*Z-?GxKVHLLy1*?ndkj)D~5XepS8}rPMV3l?JU)|Zy>5T_Z7QB4u*6$
z^|r0Qm&o%^xYCcVwNJoJ%8nE;Z(Q!T37_AKtICrl4xWTpstRuFk*_@_8WEK~l5n~9
zw~Q?!@9o^!t&iW#?DB~_2&j{tl+&0@v142)=wrLQ+4?$cbSHLK>!pn-rrdaHb?wx?
zFGo!^!a+I>Qcv?sO8_){`0(M(%nT%F?47&9^A6LmQ4TGX?YyM-wlp$(aJc6|hRuoL
zsnM$nIj4SAxw#@U5gL&rb$~*vi)j$RTO_YPD3v8fmNSYI@W6w8BeusVgKKeqzOjLI
z0yk#EnvH+8LT$RiGyi!%UGg1SsiM5@??5sfGMqa+Us>s=^G>nzZ>+}q+~!j^?Y@ay
z_r@rj->l0>Y1)5k;@&~A;ZPi(L4)qir^63rCSK<7h&>ZHDO&a5U9MyB8Ekn$0oAo{
zk?`E~<;g4IUzaD4ALJ*A3RGJB(aGt_iA|{-rYVf8!wJ^pZaq!z`9N%kokG*43nyQ3
z;+p;MKAQVQAT%PqwOjABdWSJaSCOH(U-RDHrCmG+7#d>L*UU1GBqwN1wV!oD=N*+{
zD5X1g@!}5AbEB2I8J6v?R;QvHObdOSXFoU>b?QDPT(OX_l^dyfLkTKzkkknOg&Yxd
z`X#yRUIk~rK(qf$Szl9BLrk4Um}~OxyixLD_fTFfERins>>8@h7$f}Lci;@uneo~N
zFPAo|^;|TzA!EtgSI<LRTO0E9iXIj&wlA({rad{K1wj#YLe{EAzd;}(N#xhQ+ZtF6
zeY0SUt%8>B)2J5#QfZNnE&<GC`OUU>$|gsg8P7g^k?KW@#BcHg9i{M{=11l{PFe~m
zUYA)7?2*~O5MU7ukg_7_%-h*!PEKb@YW_3rr*w@iKk<I)_+_l%(s2zUWY~ClvB6<^
zm)_L-9Xq_WI#^0nr0|oan7|yP>E#v9!pW&K`C>asF&~faq*#$rlVCP(zl9u(J#;TP
zQPXEUdBTq`lG&jHQe@)0Ez5>Rof-TR`d=~4o9IG<g5uE)3j~!A_9q{gypuadn@;U6
z(7Y4nth2*Ds7*$=&Rd^7MCsS4x_UFw<Cb>2?@hcJ_Z#e-*+~i0JJc2j&1~@S{qS^u
zox3)AvI{o~^S~2)39{+c>3TFB$2F0(f_6_h5)&ESf3dMtwZd^gRit+7nS(UmU%Suh
zix(cxsU>6@;QFpaife@%n{$}nme0R?_0{d~hXj>ncdMK4Hg8;7ClZO}<*LDVk>Pc!
zVc8r#kUvo+krKXx?18?m2zJj_=>djYOwx%jy<GDJZIRk~9M@|Ah$qHTn$qTwme+Bc
z8j~}8+n(V6_sHx!S=+9y7tTWtsae4pRUB55xWF&^GhQJ?8iQFDldKU?$0pG1^eo8>
zR=QmbVw*>jGQBapC61qCy~q&Aa?P?o4-BZOFxPssCt2q+ACW^<X={^;%P5MB3(C3k
zvguTEp-uvhcAuk`ay!Rj=j034zLA1ne^3^Z(uNM+<dstTJ=>E{Ed(?&Fk$=Ka`hb~
zFZ*BIG>+E5U<^84@}vGP&Ug9JrBj^sX~z3-$u<3N4L!rV(kY?JXGR34jv<c$!-5MA
z%I*+}I%7gifuw&(c9f$+=#x}Ef$BeGBflQx#o?%#P^mjCic+nW*^go2vSk60KAdy%
zFU_AgZV-9QtR`q@cxJ=n%35=%`8G34GL)paYogW_qw{^XQaM|Da<_{Lg|Ox70b2>W
z;g#-kym5(&(xppYzI%WAm7meF^`k}|ebUwA9KEY9e$@;!qz{g9TwoNsQ^MJ^qkG_1
z`HN|T5<+V{?zM2J@7)`RYFnI=eqP+=vtOCaUQh2jm!?1$c*gQqKUc+qmsToQhcl#(
z$XOnbReH$?O0Tyf3;6&1o^@%p4q%=Seth~MJUH%7^HtICPw%P(Fa3>z5lqV2Am~)V
zsPgjiORuxz?!#LLH{Ko!KbB&iqMyb$@@d2w=F^lMD_<dva*G)8;A}{z1qTN^sX7FA
zOX-Lt-F&Pd@)Q!p-rnAGedpn}ev+(`^T20P`8KUdOePcVZF9X*U{3iASgY@f=wF6e
z1?I-WBG~NP2~&FTC(y5VYC=th&!1b+%wc_8*wACq$B*luqVtwbXu_~QivLuypJzut
z5bHC>_H)_8FGBxRvj4xo>5I8OKYv>bi#O{-^<t#b*-xkG1yZd3aN0Uq%*eEpQyR!%
z!zjk&xs}uYKEFO4s8%}Prb#bB9wbb)uYh-jV_X;wL7_s{6oSA0xn+=J?E>K1Qi+78
zL4XA+G9*rowshVyDZAHxT(l?mUOUuL(MuGZI<8*5n&95=fpzKkpd++U?9^yws|!8R
zoe5|*X`Vi>xu#o2uAN@;>>(*2RNxIjEI}RsW8p9CX>`XA{?!d-P9PxXCR)7w<ypmI
zURD$Q)dndFx~xtV@V0_V$s($eERWxExjlgMklR$hL~<|SfO_9TmB3fQXo**vg9nx$
zb37VMdL{|&Si5jM;-2sAa<7#f%ZAYcDW`qlcrCIIEZxe`m#ujI@O4^NR@V9}L&?|p
zl3-vF;D*~IF!|K^e{0WO7m08BVoS3m5C}cO+u7M$i;QY<f}&=@udH7&h6+xwy6nH5
zlf;Kp0tnYBS+V9EH?x)BCD2QC;IP<Eb6z*n_=Ugw*GA<j?goP=O2$*-Yinz5YOAMP
zgy1PO6B?|pM)Z{@#j{^pMh1%oGUR5jf^8u=@s8zy0Wf`|h~c@rkMPe6klz0Mk?nu5
z6nsPopl9Y-I23@i^BSTg;2=D@ArZ=Q<@+BD!y!|Z)k?j#&n$7NG_|4v&dAdtbpk-M
z8)e37MEij1Y<pThz}xVS-V6i4_X^dGGZ>x>g8>57$o+shm)tHwzV3HWGl(Bp8@&w3
zG>}rF%qiD?2Hl=0b;_gWiQmTxLjtny^H*QUe>T)BFvu+~uFP-b((1wvLo-hKV1{c?
zxrS%>j+{0z4d%HH$U3Nr@!x~Zh0=%C*4E*H2bdU0U=WH=A265pT$FJ1&@3}1DZz6e
zBSdB5!oUKIy&~4z#Ub!wovWhP&653GIenb;TDJB*gZxPb4n-rNmGC*oQd1zHtLN-)
z#HkL&cY9k~T7C~dDt#K1ax3m_+$vt^GI*)e)dRRPqHEV3tV{i|=tj!+%7*}xt=REs
z5J}t!gEp%hMeFL-wRW|2-ICSJvc;Y|3$5hD5ztie1+BPj08$}FGpdR2`YYW{iUsPg
zhKt$C-}P~@cTWc3&He7}m=+oaWkaLYf?B|TnOUu@4s7^{7Jqqq+KR6n*5<^9p|<ME
z*BSfcf*s4t%O5{}?41QP-QMdkv4ta2URf*MTHQM!qVu2k-VOKO%HGYpr}_C%%^%i-
zO0|F}8}~TO1M7GE{iWA4uZ7oxf<T70IQAtq(`YrnpzL`N6CsS3<#@T?K{$2y?p=qK
z{kIG+U`++ep+>&lf2><FfHiKsoP<*H;4hw=-xo<GK=F!Ft)uTM4HF_%r!dzjow^GZ
zcb|CrCX!C_Wv2f?#H>8)v(XjGnHhgjv(|(8c;FC!{NlVFzdGIRgiG&}?JE63PA?|R
zF!BMsyqni9T4x9yI8X#47Lq03&x!UF;)cPnq^6>7z~;J)w=HtNkj}V64hYJ3=pzUo
z+I9I0sIeVO($!XRg*do)j|%NWOOX(VkbBaFP<M7gixO_=g{@+)_X|w`@KKF;0l?{W
z`W^JYmSm}h((CjC)(N<c^(EiIEy6K(teu_1gP=llw7H)~)5N~KG9n<)%RGuo-jUL&
z=ntUVmnIAT>nWSyDZ87WZ`yHdkUz&zvcT-a(`3zP#SnF@LB8Dz1z>|=VPUbZNhd@_
zsjl?qerDhGlgW{ak`w+^s9^n$kg7n&@$Fq&CRpp(h!(QZ?nK(F7M$3@`3I@6L{<lT
z1^i&z<^WdK3kD3zt9Dj9!3sgb!xdmd6MdO0((K=+y-7j9g`wmrScg5D9JzPtjyM*m
zT8%&n5h#8nOQ+wX3&<%+)+GY0S*Rs5HWL!?*zOjLCEF0+50816_Hf+eEv@M@8$sI5
z$=Q@~@{b4Y@%{6|!W+vSy4rnUoQ2$ban+pixnc|R^DP?{cWk2EOiMNkY6rHH7YOU<
zX<5GO4Egez=W0-QeJ-{!-TzN({*>yCp2M5}d2F-)V>@a!Orei^2I);mUv{!ji452S
z^^PU)jc`p#mN4ynyS6qz<ZX#T0NduRn@P`B%y%5n!ZNxtl;WNTR8PmL&}?KRi@t^<
z;JP({#X)yj25;DVZ>-yYe8I<_d&fUL8TkIfV$DOmIYtV#bnaVPR*zb~^T;Q4N?W-Q
z99kMV11j2+m>T&5bT_2ZW_h)hFJOIV_<eDaG|sG%78RPE+`#&zyJJu8IJ}oHSWwO6
zwoUwxh(<9XgSJZi|Fli(kH_DiY^T>cZNBI?C7`RT%dI@k#*+w0_ICdw!^y-cFEJkP
zg*21IJ07%r`%vZC9Xv+35Buv1Vx3Ny3K$c{leLv+YGCtT`*<W&&?%@x?qACV=k!9Q
z6{dvN?|ghQb;7=DU|R+d!WxQ$B|)<po>qA;6<9Hnb?$92*QFU70Nx)>;BCz)=zkXp
zseqn52B+hLEkM$mIF%5{>Gya?^)wWU9Zv!a$i>ZFVdXt<M@J}AO)N6XRj2;MEA3Ov
zY#2=Ix%P9ZZjafy$*0N#x**lp7+lQ{W?@oYOtPUQVne`N7lCAOk1MRAt_%a}VSW6<
zw@xxMv1+XtM2S*M@}|zq+4soU^3B_^cf*$Ka%(#T96F!I!$G~qT<_mD+h{k~Y-y3o
zGZ>)Y0g;n(SSDIv3(=t%L}&=<Em6>WPD%>*cM+)kwQ5Qhy@7yyt`ypW=5V@RS{=E2
zIu2c`KEO5i**vr<ahD41B++xSNZn<!g2||8PTa<tB|@AgoenTB`C(pGUTxI(9NS=l
zd0=BbJH_&m(H8r^?qK>%!OL6uLa<j=RTTjn!4}YNfks2uMX5LX%r(hN*YZi|yYwDZ
zuHYM7bfD!=pvEzOFp$-{dc1wI2JMyQG!zeA4osMWD8KSOR7yhu6ntQeHW2?qO1wky
zSkkj{kah-S?)Y4vOpHC$i9&j4u8#w*!~`I3`))oGGY9dhW1{Ab9UUFuEWj&yfH6f_
zDgX*=H!ILtg6DwL9`usu<+5{fnuh<sc|~QuMSZRhWt1^-Eaww`+VviUZ@imise4+@
zLsb@|3Q8@zZX|ag9}gUmbJujKuEHK)!*)p)-nH_Vxi*X$O<=#^)Z3#R%Ga}aTw@kJ
z1a5AWZ+C#l8*s%N@f9nFL<!&CrlQwaaX`VM;I;?bArj(x7C9Sm$e|GQ=z>mYgd-d;
z`4lE3qG5#Zw>T9pxL<LmXSZc^UONhVT~JLv+XEp`;^8i17)^;LAt-U!<-@TG<9?5e
zy@55uJUEXO>pSGnuevtG4V6RU;3wT7kJcV?Ouunz;=V?Bug~fPXtFzG-xlA;aY)W?
z8NkC{f6Liq!0t8)6V(FF(24Yy4I`Yu;0FR<n(Z!nO|iDVD<jca;6#862$fkF%mesc
z4fa-cLuR|S8tSZcpl8^zd0;78!oUsM>Gg$|gh`mNKO`(X0Q+UPHOWYv&wD^^{7pnA
z?B3wA-*;#_Vk-j8O88S8La4m1p2bdAQNs7^I<D&zATMTft7NA3kad(Vi;e=OS**YC
z`q<?sW4Y~Gp3_zAbmMeYcmv3o0mt85{D89UUiw-ISi{~t$g-}&k)z@u&jbj7A3AVA
zVXz0eL>FJ3O)IB+aI39Nr;qr8wX+Nsa$2!YbnUWr$jV#Ht~(5O!&_Si+xHgY^hS=@
z44M8w$o|EPL>Rs!1}NARmnj5v5nC2z8^2*oNFkz4;KoN~XJ>;l&SNo>*DTV&0$lkV
zG<p4Vo$4hlMRoN%l4b?%tO`$<1*&tglr@MJXkZS!m-^&oWGsS<APTyl*V8z1Bdrs9
z9(@g`?LcR+5)J0W)Y;h?ta3p=0c!re5gH1dck{;HJmen;96VSIBMN&^Ik><y#|o7l
zk1!!wMWb=C)QP3<-T3tds(~%y30SLQ7ZyBx*g-BHuAfD78&sMIkPyl$N<LFI-<BM0
ztSBqn+1`$apayxjE-v$+%4MpwHUI%qL7y9K(-Orr9})s=S~hd*yP!M7_XT=v>({51
zJ9<IYxb!Y=+%{rRKd2h#>u1D9^n<uIZ&+lw)MAS|cT>VVP?w~uP~|IDnqo)5Ef?Z}
zc{V{SpxkfM_WhyTtiaRfIaP+IA{paXdTCAR8ySw?X)5FFuxGmrCA#-_JLn|qD9j(m
zd|otmu0MtaC?gPr#K(?+6X{Lz+OrkTu`c(%uMRwoQfqzeD6=-`YC9mRs-WPpO!fjP
zqK_8mq&3k3f>Yyf5a~@R_0NRFMl^#}f`ab7tyw+`Y2)u<D40)7hijh$`j42m21|Vq
z{`U+ID|RedM0)ZoUOra!h)IC%tRPB&F-hI^QU@DZZ((&)^(s_buY)!{77MNHgNdMm
z*HI;HfPelQ7C30Z5-NP*gWjurvK!@Lj0+a+zp;Djd1YRF<-}Z}Q%)I{xY@6&d)_GB
zqSaU6IN(wb{nHL&8e=M;S-y$dX8ZxUGex$f)!?#W43z4KBtfOQHh($DiT{#BC}W0&
zdRc(?l2v3xw(H5Q*Vn|}GQ@r8eG5D}I1>{SPxX*Of9N77QFKJ_M+Hjwy(pqF?Si_;
znciGAm6SfHEFNucBLYC%r5@}tO;|6>xQXklFmp&a$i~adYqE#tPNjr5Sv`SL+iTGY
zVBR5y-p>Q^*MNSu*$3ppPUKPh@e~z&w8wckcDnD2naFJ))v^rEYe-EKy08lpC4<=G
ztbA*W>8Y2W#>P(YNEnwcpS2E~{XH;V{i?l5i$i=|99%em*BKw}HkL;*+{Su>BE+8M
zAS4C+eGT!zHD2m5hbR;@PiBF?3c|;`*uC!c<^qhI*#e^PnTywE+dD(jS#5s*Gf!vz
z<I+r#`v+m&_O}n_Mw{3*Kl&=39O0Djbpl7yZlHV}7%jR{zq1Q_If4I)NFx>yFHk|n
z`h>{gP!h4jMh1%adpUr1#Yz@>(~r8Xpas&33_SRwxoT@8ppP|UI5l7CiYGa%@j<;a
zexdUg44laT*;?DPas@apy+D{=wMKm6;Zo4p3Y|n!>eOEafMH`gN_$Tiv(l7|=|0es
zhsAp|i44ZX-qDjbW4Him2EjU!B;-EV;ma-tLGZ=Lu}zdP^MRlH`rM;kk~V7Jd?ALQ
zB>q?)4h?<&oTs&S<{R9VjSImR*#!Amdzu@(5-)%$(DKGPoJW&m0`b9sd{_ULF7W9m
z_uv8@>CK7yjG~d@;o&B$h#;uN6|oXNc<_D&I};Hh5y6d&jnL2Ng5Eoiy|5>DfP~Ur
z(}bY|uwlj6!_^aS?gs;{#p>e3YG;;@E9}h^-Q++hDq5|TFUM7F;}_fr=p!&PLe-ed
zixadg2t8Q*QjiJq0-H%7%1cSjz^;lmY@~G!)EQY7%pXS#m>?qda&@X=140!7bfypd
zH^2n0B+nv;_(wabOJ6Aj58IV6VJC9P!8e_;BCjB-Bs^)g7i?Z!y#*1R3ve~YVQ3|I
z`kWgi0@Vl`j0HgKUenUbSDX5r{d(OLCdtGSjkmQ80x3x&LNIUvva!`6STS4UA}qMC
zcOy_dgEZ4%>etTLQF0*@j+|jcgS0~N^+DFam1=}%JRmNmrhkFD{}sgjfxgl!ViY5t
zOf7|xNOelNLtpWf@5XAhkz037O-&xvSP8$^{5!ZqKbGs%n5i;TEe@qKtO%aWflU24
z1t@n?9m-cm&8cXJF+cOxe;QIH_HjTR5I9>u!1<VCf=@2X`#oDuMh4PjDM)A)xO1A(
zJGZu8Prd;*0J2t+<;!0hAl8K*RQuw;F|5WMCargqR6vLfY_}tfkG!1R=qmHw%``c?
z&(mP(T!4Woko*F+E|j+ePO4}hfT>P?&OV|M{_8V7qX$F&h|9_ssm0-F=nVz>C0Up_
m02xi2?m_MieEyFnQklY=gh@JinfL+J2#sI0u$dR{KKc);F1g15
literal 326073
zcmeEt^;;Bg)c%5^C?Y8>;L=EgbcqWB5)w;?)Pi((DI!ZtHz+ABEDO>~!xAFWupr$_
zBeC!u_`L5w@c#Ur>r&@}@tJwfoVf4%oC$xe_LA^E&3zCEM5v?)(FB3;WI>=?Kk#vZ
zpZMK|!~p-?b5_)M1A!igUH`#}UEZ?-ffzwbkmuUonOn2^Wme-*-V6S&%+l$B_0o;R
zQqCAu#RSBZRQ`++oCSW8KcmPfPfYBzOBJpVaT|iW*LI6k5-dm0w5RZzxnWlpoCt^e
z<C1(gT9~LRbvg2A2=GKSh^<o1wev8fWDvI@H~)RVY`xn!IAw>C8k^!gzc|TsQxO)t
zenQ{~t`ia4`JZ#peAtWNyZ`-M6o+^o=f6`m&~5Mk&VtE6IQ0LW&fk{(KV5p^Lb-eV
zNbY+eR-A+|tX<H0kj_i&za@7S+wm`m4%-NLB~O<U)TK|CtYyw87c21o`!&4>{_cNg
zAT|)L<bS6>?gfL0{yTNXW&CmLztc?6|G)JAWPxCr8()}jsdd<FP~#9={n&1%LEddl
z0@$@F`o_L=t+ftL=%#u-E;xMWl0p37ig?&YNIdA$KYO*?i0=AAssAoSG*s}Kwv^Rf
zc|F-sOyWReV+Spj53z+l`@L+aYRMfMz`y4InGpi7@`sB6VspH5bNk9z`F<brtTwyT
z7i<~b(7rhruwIZ7)2INf>uvZ0|K{3swIbtj4yDqLBXs(Xu1iUwstmZ!<x@^$!1=L7
ztduZKbW9@<iXc%K)jPnQMb#oZ!850h+JhT@>h41o<GNfm9EFl<BIlb=X9s*6u4XZT
zC*M)GfnZqlGRM7`yTZ-|?YQNf_q>#L{o58=&Gj;G_<Zi_a_+2ruEAq-jL5f7q-8HU
z=QJ%x%wt0v3RRcE9%3#AG5s(^n7$ye9im5aHlydB7;Ud|A~V*~xaK<Pky^zgPcJL(
znc2z7de`MX7v1Zu(H%9g_1*5D(`g5r^j@@+zs2b)V9lJNlpqshW9)P*b~@I7iK$ZT
zioo<=Tjk|OW%^`SSJ%qQ$}%cNOF4zd_-w4M#be`7@ztP&^!XM76M*pxUmMA}Jk)L3
zPZGggo593ou`8PLYVpc&)3Lb`D?`BDe3XU^9UDx9gU_Fi-rZTkjM*+OGF*u^OaiY&
zvQMoa|AI~Cw3jz<FLFrw+<rs|F<JIDy)y8q6u6_fq~t}X=|v}TTL@dws>Iysk?EC(
z;CZ{uMZ4e0j?~q~0dLc8+g<71cbK57^VSPgtG|ja@EE&y`l@Se6NH4*{Wb|o@4nTs
z$<WU*G_;la^TH{>cJunlyN$Vk3+al;Mmly5a;`2yWRk5;TQA42#JzTAu2;+uaSA-2
zp1Yjrmi9bc!(3friV~#{(uOWpoGw@Pdm87kJG?=sD4Ammnd4F5d2_B#bAm3qgD$@4
z09j)9R#|yDzuS<{5?5V|O5}_|;rYShhyJLK;seOZX<7!SV&Lx1P1oC}^}RZuGbP6(
z8TANocb3k%nw`TwCJ8u3<OJ+4y-MN1{!z!0lVDGQ8?<wi0e*aUAMIps&&)$Z?HieP
zggSKWP{<UmoV87(C_p~>koenWoB&w7d&TnZzo7HFpv?vzRP{;g753%b)`Kiejl*X1
z)oz%~Mf!ov<z6h=a9t~QJIsIuaHXL2i_?S1J+ix#)K=Y=s5P|?1y_W(@}xt)-ym-D
z8G#+JtoNVHRE|R;0R->@0uD0fF1F_`9l&S6GtVNdhv=owE)IsshEESxQ$h}id^d`V
z;A{1(*?#a&An{)i+u7M=WMqh>d-+B71yZr8O!e5v$c*>!jl=R<UD*7LAZp5+`qy`P
zn)wZMRlpmtt{b?l8x!b1caA=x4BDfVIdPLYnHM`hKZn%R*Posh0hS;h{`vDKZOcEv
zD`YO#b1v71V@K8xRg0+sTeWueWBlgM9cLRnJ~>3P^v16A9>^B0POq|^)>c1_XcP0w
z3<aL-N0qo4PM{Et)aAcLj)F!n%tzwvfa6J-bA-(K+DjSVmHxCmx2al|T*)ERtHb3~
z|0w>hHLP7FwlC?a>E(XPT;D$6&gfLPotb*KlL~Gc>hjLUP-JLrUX6@O*xkuViOEI8
z#bMWmEfm^q%mM6>E`zN0&gE**<!Yr#voH4SsPOIO9>dk%3x=~_rkBg6f&bbW0-aUo
zU1MijFu*-4HsL*fS7(P0uib{nxIw!ts~B-KR(Xd9e10ov<@D#3U$g(pH&GGEql%Ft
z^~lU`S1v$_`jN4gzoNG~^HO?0t}<ZT?%MT%OnK1>1RRidX7;}v9eMcrfU$O5L_F%=
z%{kb~9BfL^X-XbLrBVHU+K~Us0PkbKkkJqBgcRijo=qY5ox`k8-&%*KC3bYgW>(nS
zON!1u0Cq(GobA~U-XyEjV)cLx^~)u7`UhwrTM3aEw+1$EHjE!u`TY&0gs(|qe1>RS
zrp9iL;n<L$^V}RX*KRH9wxW`3RTtJ?vFX0*WA0gmUd%K!H4WOT>iz}-u)sWtSM@E)
zW=ZJf&j1&he?N&R<cB?GWw0YM0Sja~-n&aqfd?6o!vvYr1fn`1iw9p-L`O#>k;qB=
zv1|!zm``@BLY|2I)-?o)O;2b}bQDOt7&XN{A_>?HVUQFTrHPh4?Nuiorfk^_y{mqC
z2?WhiWl$EJj~}=@dJtmi;c?WTCOADkO-oCwhyj-Q<}QGHah;&mgU&{R4n%?k(^QgQ
zQbcx|ULBbR9p*7K17R{XH5KBAA{oYD(U|a_l-7%7nX^0@gNK8rjh@?-fqyAAm2)nZ
z*n$?=0vD(%{s#%oU*Tp<x{U9(124_={MxIRbHducoCJzz@jRWInmX$PvTjvuz}7SM
z(?yxf#kqgcb9{(_n*)`?+f9|@zu)T=uxWTTz$y!5)-50kOu%P{MKai=O8;fmW=7!g
zfg_k<pqJ|1)vqw=!|QNM30zOf_F19EV9l#0W@aw_b<14d4cfgsBy}>gIU+%VovOr6
zjkjJN0q<A~=D9tEWXtwmxK5z0mz%A*p}haCnh9aExP7Vj=Jxe#3)37ee5*a`XPV3+
z$lxUpT!GPJYax&VPUs?AFivwV0p8x;?j3%uNTkQv;krc`P_E`5Ke)kvftDV|ra%$f
zL56=jF#1-d86_OcKe&1T+!pu69<YRy_zh(IH_Ua8nrRm1u+r|`7~ZpVaXkng9L|#P
z8qAjRi+TjS^CqUOC{|D4f9xK+I6D)|^%VH>HIv0z$RtK%Ga_eaXP1R5u7Ara7YtN#
zz%K6Mv(5ZZy${dAJ{Wf;r46hegqczSAtgb30|_r|<nSTP7hME<A1;Qkapf*+8_hL(
z^$tx_WlcEsr<Ws+D=8TpA3u-`+RaR%{e%6SWwZSb0O+83)sP!3c{1vO{r!sfD4^BP
z!qeS(^Wxv(`Uv1(FJJamGw0d_432J^G8?ETat{G+5iCM-b7Nu>q(kEjHP52!lJH|c
zLBg@^*;JCaw8zhqO^uCb#bu<w^A7|l9hSr$+ZgBbpzgH)-Mw+E`NxFUCY{%C@%H|%
z$0di4KCk8)9~;Ybdl`%V?y|UpRAPBr5S8*0?4cZ|?`S%grdIUiLpQx&zn=_!Z1>_G
z&p@Gz^}NpGRTcZftkH5ck)hacVE_#KVTg0HaF$b*o>6Nc_GkT`;c7Q(c1lE882)v$
zp`k*`8Yoki9^z}|Zz<ow`@O4evKqxQ26&9Vf2*$E|F;;+YdC;GPgt32X};>H@d&(_
zu!t=$FMr&Oq)zSt(pZz&4MjlrYAQ!|E=(cqB*u%VDPPn*VO9`s9QAygtSNBq`wbQ0
zJ#JP0I^}nppUraBJ9cnbEM~7nPXD1((LP$}j07wJ{0$Tj*f<dp5p<N_TEBMdUCOGD
z@wkM9gu`^Ye)eknUuOpg2Rl0grE6OS-FV@A)>|(xub`k-hv{{9@#%HJ$Cjs}ygM)5
z1*3nXTLLlj^Ka5hEuvJYN$~9a92(LZe3Q19A6r9>xSsZUR;c&wj}^R1N!HIw8=3Lr
zq4Tq~@txS2X$ah&dIqcTN{aGd3Ab|zo5nakeE1NErf@D)%w{&=C7Cui$QmQWQBbN|
z$wLu2ODo8_Q9h#9Ahu^Se1i3sOfPDFW88>uS+Tx#?4FZ)!5)`f5Eb%l8~okzP}!G_
z2~5IaIWe94HofreLn5NpgVUb_o}F1Fo)Ak|FF4^D;!X6>0^Gu^q&JrVHH!+%R6T16
z0&4cJyqmq>FtGW@=Jo8@-QC@t*+viJ6G7UZJ0#B#^NXKYFcgmo-&VG8*L!Fk&E99B
ztf6*%V5~F}V%)b{z#T6Sjz8=ZJ>7?&WSeBeOvjJVX!K6>X^9Mzdn=hqzOdf3SMOAR
z;UgsuG)aQxpJ5dheGf0My0_^`Nl5@z<4WnvNGp+^P`jpFXyR+f{~_@_YOf&0Bz<UA
zf>-tYSJCIT?65G@Pd82T_$XAZvEuOWKj*OMsFc`}sh-M1hfH2i>-Mau<o3mru(?sq
z>en&*%iqKji1kMRgJz=g4%Hx8-0AY&TcSSO%_|!{Z_&0IcE5xy3MExJ9yCr4I*xlZ
zHa5b>ga}Fa58m)iOidXW8wd2%0VQ}o|Avx^?r9(GFQY_ECR{SD-cHcN^JaW@H1qUV
z?<!=Gl90G1Yg)HF?M;PmE!Xcsgy_qTkHGp4xv<3V){hGE6Z<rT=^myOama(~w&Yj;
zL0c7XZ>Oe3af^Zl7#6<O=BjZUY8kBRN%|b=i*cc*Q!o^E=VZNQ>;pdc9}jJ?QAPr#
z&8vCSnCSElklr%!Z=8h<Ftf>YZ5lb#WO|X<TebzU2Cn6ItU5v)hC7@vR_hYjPwwvV
zgihB)-qo(ip05T~k7D>gwh+_~J>lJN(-Nb4urJ95X4*!Y(G%SXX>M+|x-?a$h{tn_
zQ}jvwZr`twXj%T+*k%>p&&(N@=HZd3N58|nWi;tv$_N&8Gd^###Biir>VM2y0y36~
zdf>lnu(NyY>FoT?&q8O<jxDEjQ<bAIHGlI!DJT70a08=Ws&4xZp8PixuHsNTVy)k`
z0T18rf$}aUH<QL003JSYkO#!}&o{D=;j?97%+K_<GfHE2FN?{LklYR2d-}vubgxsi
zb}4!lEusSEhJ3AgiV_u*;Hmm3PJ4&eZ)=`jUN7*8HdlZL%B1>_rcG)ptB&AHbW@XX
zH~yr4%elEUMILQ1q_61^ek-B+Tm7%1{KRU_rW5`y$svoVNKZBSHKNia|I%pV@k3*k
ztjhMUsA6RrAphM7`FVU?3)hAs?GUnr85!MJPm(g;a?e70Qhj)&VtaO)!)d{DbMx*P
z^Qg#t9c@@#kEnb?O6&7olQ0WJpm2tRy*=HWDxf=fOWf2Q(c;39^})eGe`y&}(KSuU
zd<ik4eSg4pS=E%ZCC2oXx-^-K-&?)wV1LEW_2Jbk3W;<t4?1}gB?>>=zG^*}qDiGE
zRmtLAsb7g4vK)jBX=x1&4S|ZnQ2-zj598IB>u-D$Qju13m9}iGS(;$s&CJmkx<_5g
zxrH5akdCF)=zf(ClToQl&;y)jPfa96B}YBF-P8fwp}TH!uo}H!BS1`VqB-rGon83P
z;!XEdUt6Oc7WJya8ksjo+P7bsC-5gdhDuoxK8j<Zm`zpcFEh>WAdH=|m%UXt$P8I(
zHr3Zx;wVV8T^{bqk@E8dc!6{d0Ef5>YWyq;mAJlBG5Kv{6Sd4*EOL6HRJlB09fMq(
z9Ny-~X$OO$wO{-vK{B5nsF)z%(H-#5Y5}#ePU;#41SePniQ35tGY^xBA5c-QUH3PM
z96FyUaf<lzDh#Ho*0BT*C(SrRCye-5g<F>M-%lS9wX#%+S2RF{gjV<I()%;5X1c{V
z9PRFy)XgFt{Ejw8vo=TGhm|@SHrdsrd4vVbRmV0-ud*VTDN>_)Sp-%}QXW}{=_gyI
zohU2!LsqsvY32X2_Vaqi>&_>TLqZaI*{k7E!^HrELClR<k;w=1#GspjRpk`o8uEXp
z7{%;+(hEHP{lnZgJlujcrk8C{rRSc6u(j>f%G3vQ#d=Ex1xrX-vPZe^<HLZfv)v}T
zgjjxbz1u4KRajD4qJW7sGdSCAJF~A%NDSpIy)oq+l+j?;O)JP_-a=h4l%l#dQ92~C
z2tltge#eG0RcnR0G|}9(s7oDYWQgr1I<2@yN7yIVl2#^PLhsW2Jfp_kbZ*vNFlSgA
zAy-OSPVJ2N08>>emDRAHS)V{k22q^hQJlQK%0%TEqSqH}9*<6!-u84bwc0zvL9Yeo
z{abhEWG;w`p*L{E&*3TvrBrL{056E)k$L_}6p9scw3_G?|K?IHJ7|<`9{(q5G*&US
zI4Nt&uJ7RqZ^Z)uHt^wIlW5=nQkoL}-;L2yL>5}SDpia-wK%r<G!>fc#+v>NqOelZ
z5wIh=sA3_;UrSEv!}Ns5Tp(u5+K9_^%#c%|C0qkKH?LYgDK2x2&PZF#TubuU&`&0b
z)5u*?lsAS4IN8F|`#Weo>dC|1MChPdg9Bg|daH~nt6p~l5ms}quA~p^8_7>2qTN;p
zr7|<_0qm>#<}FG-Ksh?2SeCCuD%}oN27t<}R6ly_i@ndU&^G_M=`xyn&C<`*glFEw
z``>e=ZIJLM8YzZ``LY7=5>mGeBCnT$f{XER0S^68|H_J>0g2-&cZ16Fqdo5?pyp(%
z1${_6kaP+tm5S3eN7|@xwXxc&DM6W72*a^slgLwlM}+H^+A!xc)%F=4uXr}su6Dl7
zZVa^`&9$u3L~;`gb)V9<fdhl7b7+**B<}>I9Ds9O&5xe7<P5-KnmejR0^TrYimvcz
z59IFUv8J>^9fb+MWPU56A|3en$6AH6qV9)WfykUIcYAMy1mZ!z+Wy~S;+2C?&90<R
zg38TE)ZY`pE|27&LzMTPL7~uRIYYfH36PG3o{7}xiHVF)BJ1ptc15MbHcOeMc4EHf
zP-sa>3D`Wda2-7y4R~Gf_)Q)4F8vC;U|j&8>_n$o46!~r);PhG&GlB>1Bn4ZV{UE-
zccXhVCIOyrFC57);0A^E+rtVNkePqL&A!4CVej_~M^DoTHjC7<e4m?$HcfxhEq|p3
zsSwd{4Nv=!N$}|OYa-aIq-spbNwrtMMY$_--Lj?3)}hh7LRdru!G$_#Vvn#v*fg)|
zj(wF_-IpX1XJNI@jyO-)O%ogvi^Cg#9S`8qYA&ayZ(6+@At@YSupGoz0m4xra()fy
zy~F-zBQs4tZqhmGj-F3<go^uD1T`sXv!7)#@UGn5J`VK+GLtdJcidUjf50uHu-^B`
z7T@foYin)Z=4r-EMfWL8Kl#arS`)aB013$|9c=~+%Tv_;)+8ctc<ov$Wb>jCs4lZ+
zWgXmCftZ&Li^sHN@w&U~avu>4_^aupzgD09r>zDVtWVU`AosgD^pgSUyZm4gOY3)Q
z@{LFTR;HlfAgS9MYe#8w5-^OEl{GhUyuWQFqmVkb8$j(N8CdXR=8aKO62C!L>J=ku
z7GEEYYpT{ne}lmca~-C8EvthNCN4$2|C~Mb)D6vY_C8H(B!-*D^$rM6XhV688)~*1
zD@ssOXv}P*E{4t8=Se#!L&TyY*4|6TwBQtNBxeR=<xpT@is<j!iWham18C5-eugr0
zAkpx!jERbPH&k6#QX=dGMZPu6qY`q_CG_^tF5_x<tLB@XjB}AuI(H!#QV>{RcihOi
zuYMB1oA<5GD`7O;$2`7Y=+&uWyGjpBRc3PORIiYemdWa^C-Dsxk-0Y0o?k|^{a9Ho
zm{@lD%*NfGGXq-&jNAIX6xd>{z<+VmVJ|#gFI{dKs<ct412w~>7|#uG{qxnKY*(}#
zubkO9zf7~vb{RCTcP-d#m>&0PYx_Qg9KiK(v26eQjs4@`Y4hnTe%ADaRml_;#MeTF
zlH~6X(*HF0yOu@^5l$H}6UJMMxjlzXbrx>JZG>pj(w;iR8K|8axD@uF^7^=|Mmx<!
z5L#ogv<D|e9j}~IFfHF$Y0cE6t@9w{qe5|ny2>lh$zIe<m6;tWz<5gJWomwjtBPj~
zw45|!Mm-*{FbAwGrbdPL`)?t~_Q3ix&eNNln=qa6BY$brS}g6uFvTNaw;!$<=q|<j
zc{ZGG6(v&_`N>TlqQIe-($ImHE2Z0KULPF2wc1iya$ZM4O_}ZX>;NksUfk(P52pYx
z1Pl(B;^``k$HIGD6jb;>_B7YCGW?3j>@{+s!W^qsqm?GZDiY9wf(S~sfikkV(b3V+
z<H5}y2l5L4Z~FinX?#%<1u@3twa%rWktXs)UJZ|=k>V!05kDJrtbe9=)_90<xJbK0
zz>r?KY8$D^viQ`rV>6k?Ixj{2o_+A3(Y#KNVAV0XAp;U6l28IvLu=uTqky0q&o`SF
z-`OJwD0u+ID(v*$b#0ryN!d-y+DYNzsXgyKIM^lBH}Xr3Bm_{i$_;)V3*EiLd?^}=
zkBh9VB`5|ZT_iAY7}{_9K6MSN@xE3Jb=oJ*__6B2Wv;Cx3qC>34FQ5Ot9%VbAJmh&
zK_%1bl*Hd)74Q*6v&T-$1^*pfrDvP4z99!aIWd~1a;MmBqqjd%%MJk>uJU~)Ev}jz
zpKrS)wcJHP5ie4j|HsYv!9nKJjezNa(khg2r?@)gsO*^_>9X`Do9EM+>A5+lW34#C
zJAu#%mRAWG4mJ97CzQM<{s9Q!B?iB|`(Id^*B46ZV>sBr0^mZMfCu5D3F?rJ4LDrM
zXrFw>+*+KTn)^h)PS+$NZM4S0Fgky@M@$4?S!n>CIMJgQ^_BO9!&|z9kDkM9MXU;0
zB08-63}P6l#6zEQjRaFMW3J=npVG&Wnwg~8i5RrssnfV0t4{Nk>~GN`tS7oLkTIYj
z`90Eyga2cfxQM+bs)FI8Kdgmvi1W7+rQovsm`D}f+BZFYE()JzxeU6LT%NrTDyv?3
z9%(0OhTP33)LKe;I;#@nM2M|3KlDNN@>JmU*8XFChUQjQ%YQ<Xnl}$-2*Z1N;5~|I
z@Bt0zdH){Rl%ARNeztzRyx9|Q{Q1+NB+WlMOd94cY5~0Uw%emo{aWUvEJg99%5R*8
z4Rk6i5NN}c$=uh^QfU1UlCMc@j3N<8#NthnY)#~vF-=p4K>A<$pxxcfcvGIoSvh?@
zStWUGeNekoP?=u|SJazeA3Bg6BC}GJ`oi_Lf+Ed#Y$`*PR5jkHB3!kX)=rtDHW~FP
zJe-S!Bq3k(?D@C{L93o|bL(FtjyxOVxf8_X)*2(gWb^La2qxSb<egJf>1mH=W{%|5
z++I=iCw{OI^%8UG(a+Kp&|1wbv0X@AD9b)-iB(Cy&#PY}tx&KwA-2c7IOY3g-Xl)S
zQb(P&uerQdQ$CVzKUoDnAnug#q>BIP%fB7u0>1~pF2AcNFV7P9uyr-7_Oi$x30_YE
zQmh%6<dtPH92IiX8vNSA3Z}E3rq@<VF%;R;*QY%0;UEQYd9zZtl2=Tc;60W20<)*>
z#N`;dkwHJ+PS-lI1RGe@IM<_o6ZXPH^C<M(l`%`o&z)%Oz<}7bFG^PP-6I4ja=Gi}
z#p$q3O<+aT<cvd&i}Tk!yvjcnLg8t4VYVE$rZM{^CFW7Escx9rxrQI-)N8e=@2_8#
z#c0EOB4QAb-gU_$_Ax(A7<f2}^~H8*c>B!z+9@%+eO+aKRx;&miWi!~Y9$8A%NrXT
zUG+b?b`&;a2M6v`Kah%^*6zxqI9yQ`p^W(e-<MRU=}q0f<Rw*Bh75`ssI{3^%wYuH
zDzuqQ5QHm?^oVmKEefb!FoWxZINzdSFA6(QPpw=b<Q9@8eS3DXK#)n={s%{O%vK^P
zd3UzAldQzjR5lt+`XvbD4secqJ`Zvw<u!4ks4Vc`DL>PUsXykj8fwoLKn{|u8kIa!
zDpd=~8zdu<@9rpBp(BgqbX(<!RT&ihB*0&#B}n>Lm$l0c?9t!!V0v{ZCzk)W&s1~O
z;)I}BUShSV-fFG261W**6dm<g36ttxK&K0RWUrhUQz4`em{4*Eimb46>rGcV+fNF;
z;F60M`t}L$NhGRY9ijlU%4<1cw)YQ8!fAale*V9+0B#bPk`i%W9Hedw6R<mPp&R7i
zganWfaA+xqg@y69{96E^*wX<kIS6?24WIMi_RdbpA;i+b@$QSU{txz6eeECbW<86G
z`mVAS^?t(j+`ZO{Q$)amNmGZ!vrq+M-zJxQS6O8V9;K-Ihgl59s;}Tn;<FIW21s0e
zu5}KEVDpt+b{$<^K!=;I4fs1>zii02SD!?nI@a-)q1a<78sIC+aqrUrL}aBu?g4?A
z+uOrV{7#xxdeSy~Axe3sdP*9kRvKdDP?MhEFjai1&Nda4#^syVhBw<|r~D1SZUJHT
zpL%EJJP6S2D1|)h18c9!A%Wb!a_`k}n<~BAc3cE#pYnsHcrmL-=}?N!j|3dIUJmh(
zldoUWc`SoJ39wM?^_wd!LCPta%$b}z`sCu{y7Ci&R*c#4MuV+3T{*M$3eaQ#jzmr6
zUO!$iY$dZ1z{L7N(gn<5Kuh%VGlT+^)T@GlnZS|w{PNRA6AdMrGH)0T*Hm_B{q&yO
zWdVYQNELI9*C)hwtPoH~^+^sjj#lXRhca7?k8`&3*pxof+Aq$F@=vxxfkTkZV}s=t
zWo2}zZa}8q^}HEM*xg<73EW$d$Cx(wISAB^bw;JyW$4ozu{!eaYv-5gzJkCkZMnF{
zM3o0MyYjxzSi~$~x96Be7MNF35s4nsWCAXsBV*t1^E{xlPUdDSMSRklOURdGu(!8w
zDimIwaeePQccNQq;xO%b(iIgR{h>#J2|YdScd^&4tE1Dkn6>Wi>+JlgAr;zk*!kJW
zb80+$#h^xh$AX+A3onAdscA4Plagh>6I=NpJLuA<JXEMiPduJjJD`Hxy+*y_lmDow
zJVEob<}pLcuGPV;c5+|9FB5P4Qc`<y@89o&S5KdM6^*=A4u>yPgx)$DXy}NCOHy{^
zljq^}*%8F#+GL@WE3=pYyf0_g*P&pN@KqDlACG7583V9MchwWe{t>Q@m?lerH}oP6
zcod4TWa^T8A)Z<yh^M+0GyX0ji{@KuVuPuA9BNL3z8S?ETIy2B=4Mq02g^#DZ7ThY
zv5@oub(MVh<fr@8r)FD1qL1&Da;G$AP*b1hXQujyXW3>g8yyQ4o+Hk(oC`buD3*@&
zHu$E~fTzS|JROgK#vnjuh_)>NK;lh%qxE=C>`S&f|HUN<CGOt>8p=S++;07Ao?jFV
z{EtySmxi;!s=$V-s&zr4QngJf;Q#@_pzn}R?(=zpZ*^2$b3)*KG^L%k-BYM~VyGGd
zN3a{I)d_T7hk%ZUw#tYQKqNhkixQI?Cy@>rE@Jx`hpt58!qnfPN;`mXfHoz3vSpMb
z5Wf0Oe|2B2c=1cc&7oE_(p%26n446u<F<Y$v)ZQFMY&>;Gj-(DKU=f!yFj1j@Yk-1
zm*75S4sVE$ApL3)Pqu;ZH0^^s0LY~B1AOv7X;c{X44pUJV|6~|8MAL0u%xEMO;S}|
zU7MY$Nl|<<wp1)whjykGRZpBqoO~*_%&F0Dq&ARi$Cgmdp5|uiY0F<)=3Y_K_wx-F
zXi5W1qr5N;JDrrKlA@xi>NGGjGBe6E8|kutBbNDvSp&Wf$*<PZL~Xq`$G9C)?+l;*
z`<j#a>@9j!u<kF=0kVUg*EnZJD*#2fF|~vh3KkX^RHi<QK1DZ`h8*TQydi~QI-<Ca
zR-~+qpwO1;>S~}BCCLD^HGfQ#-T*9qiGZ`i@&Usz)fbR-5#>HsdwU)}+A0Ab;o7wh
z{<vT6mU(!qaZM4#WEr}wnoxp7aAbZ32FT9^<_oXuIvY%db4xd;{A6gNk55ia{r5VX
zGY-hL_23`i5l;}xsjup)85iC}8`!SC8{n^UQAvDX7)LAh2^|i9Dgs-cr40kzf9|Nl
z3qZK%ebNbVvEtm1%)J_kl9gkTS|$R54o7@KOQ~+u#IqQvQ{q`eUeu0pMy7PY8I?4!
ziQqc^8)jo6OdqSBBP}K4%~4Q{MEg1olhCHXc<Phh2&%J|bf~n+#h0PnO+HogcJ$jz
zBINXYnOzPQ$PFUsm<b@P)T)lp0w+|w3|Ij<1-3%9h>rFt383$`ADrm-YJQf;qU2MD
zZ}u(0miNo<tat`-T%3H+8;Z7Xkz+nQ^i2`JqYbhKV1lbNKrcigZ~E@tyT;?g;LQ_G
z%DX<<fY!V`bxxiX-V0BQN?gC($6-xTniSDWDbPKx0DKAr{!bnC>~Csl5I1`I(CJuw
zNOZ|k#eORCL5Ni^R3m&6V5-oD;y7xOqOUMk`(${8O>`aWxHyvqOp~8FU)x>tQ*8xR
zi~uLAh&56TnZOnG9hE9YQpJDrs9Q4e?uuVtzlxamc#KJL0^C<!$yaT_TimnA#DiJ^
zux}(k59O)M@q|SRuc>s?$b*AXTOnV*PepG^SkdN{Jg;IxdlG+RkI$vgG<@;BuDd6e
zK8p`)fCt~@drU{yk%n?u>S%m#Y*sPPg{tQ*_X-bjS(p)h1yka#N)4|{E!Lp!NrjZV
z8Cd)3#S748RI{p$M6D#@@jrY{Yu;zYzQq3Bv!uWBOf`7a#gsTfd2Ln2_;Nl^+1B!p
zpD<;)DNj_;r^(Vl_dzRt*1<<Ur|Ey)hgBqjMLFV%J54ga8Z(?_)3|XIxNnY?_ge15
z&{lv~kUeC&9&_t1tJtKnU}X{0h@nnVQ0`F4O?)5!J2NXjHQLVcW2R!~L>gWmSa}p7
z$YgF_idr_`U#60#PIIx%WT>tln{B)QisCF(gALYoIQ4cz?bYZ<f5wCSoi!Jx=&|$u
zVtzLDd|Qow(5$~n?-lE}`s->k`GSII>+gOO+i(@ZXLh)+qG4Xyrsi58@J%oy<=pJ=
z%q!ITJ*OQ);I)f>xzU_s^Z`=UWU17z5+1%D$VcItrXw}JKt`=UtW}XrSE>O{UY_x)
zZTRfs&}Rv;M_Ielhxco<N8F(RKWwQC;52|*2?}Z%s+j`p2$|o@OhO_7{%!g9vJNL-
z+2Eldc<$rn(K{n0!z|Wlpw|5SdHnOuH;+Kc*3lN&&nEcm42`r4_WXvb{(N!)&$Mqo
z#{bH`ehhIv>3Vk}0(3=*rjXa~JMR4rpMIS-X(=EkDr%EnxY<y#X&%L|0PU97C{s*5
zBI+_W!%Wm?_IP{Pb@pp22h7!ZIK|ai8$3`|wXc6=2)3d>&MY`r%7!QQQVYH^bkY58
znLaR}BJhglu{DHT?)4~n;{Fd?bJlDY-5e4@GO;*7BH==@3KcsnM5l~kB#aMh*J{+p
zQt~c<b{!z70S6%e+zA2tL=s**?&1UA{daSLl%z}fQ)u-!k(NC?*P3)k;C@=+AfeIU
zJNzE}UF+@*wYA5uWtgv%1`Cih{>2p}%Hj8Cu8K`TZe6^Fd3t+`0yASw+lWaOsFzc}
z`3BibhmIaSxRAJ7ycTDwuUjH__uo<OmrbX}>e8O;zgaNY?ddwF*@mQ}DJ8OiX*-nV
zQc{l#_4kOxo_K^B{6m%|N&W)`3S09?%YHG#<gW*|90o=2ELvyQjlV}|mZYV|DH9ie
zZ2#gmSbv^?TjE0RtEoKVtj@to@P$>!rDe^xrM|VXwF=V=XxW4HK&NPX+W|V;Sf$(Z
z%WWN?%p9ev5-A)6M{dUhsTPj;fSgc4vmEj>7%sr$=|q<)K6)b#TyxC}MPPCR7#TP|
zK9<AhSAfw!xDzXNJdq}79TQl8H~8)|RX1SZp#=kMyPr#wl7e+>!U&9*FXkwxbQ^~E
z2ofeRaCGyi?9{;#CDd7-z>o;Q(+|;P8v4ol$zr)4tuDk)wv%bacb-_$dyqHt2$ZI@
z&%#vxc!Lu-^(pNCa)|OgK7FH)33$}_#(pU@+~>97aKf*zdZXac17X)J&A3%D67Efm
zRV}uo%a!f4;h~F6sm)pdz1$kbJL8r$an}G5N%G?o1L)`^!diZ(WMe0Kc3Ivbi=lF#
zm1F>hfa#nRKif_gJjkMiZl9yY>gbkY`K1qsuG!i)KEOy7p+pZKt{nI%D?xz9*4f!v
zh{M-ppnX<p+S*d*l?0bR?&*gUu}S6(0f-im`Lv;<E{R0D$D=|6k-RP5n1c2wRNS-*
zg`E^UeL=ElFEatL4!2;1z+$R-jv&R1JJs(Vj-wLI4++IgfWaPMsLM;}ZvodU@ck*B
zYJvD@@f;!S`*<>^6|RA-XJS>e7#TKYbK%M;L+Yb+0W}rXC!5b%;wxF)Xp~YX*~kXM
zjC#*r3nzl3JvV#=N2Lq+5s>Yq-^Bz^tp_vp4Grzm3(=~EAzE!aySv{EZ+F)tqSBw!
z(F>qt$Jj(D-D65hd{@$}Srd9UHoygmR+G-6Mh{D5fT6;KX{42s-_TO(<Ci-Y8=Lwv
zJCSirh2vMN_<*5?0o`o(Yld3Uc%`X2$H3~)<HvNdIg@C#w8sYdwUtl(TU6E$PNgs>
zCFcB8^xku6n$x-mr{+#h#*pm5v$q%7gu9;&>l|nO*1yFkX?8)#w>}#(n`kHF(%P+x
zih`M7I!@`#ku+q;{F#y6UsW=Gfk-aY^_b1iWlkv62jf>-v}eL<#nb-j=!<TiW%Fz2
z%%WxKU7$(S0a2jnEQuM9=O7^H?oX0heqyMEh4g8ttw<6nIJUc}LF7(LB=YhMHM{JI
z!`UgRqji803_kkUljGz5vQJ;g=4#7J?w>Ea`hq>b*is(2&cx1iT@Lv5Hvx@cAd4W8
zN9l%urQVG2I_mR`x>AbsQ^YBLN%P<*m{u=;7}g$k;B(!77yyvF<Zl>a5)kz%4^~T`
ziy|Lo3PNoSWO9Nq$H2UAMa5>V!|K86ne<^6b#&&R(fNuKWeAsc5;DP2T=m@V$_0Zy
z0~%a0=jk9cPeX+v7ezM0%9kzo>pQsSP$D%;?I1M^D=QQ0-=z-3>5{R6K23!+ApRSe
zn$FG4`13UvB|4&;CTksp^Cz1*Mw)1rsVOCG&fg@bDor5pX^S<hJ1kZD$g||Dx)9;Z
zeOCSVdABAyZS|ro+h097+;I3ys?R3ysWXrf%*uoE25KgNs(C5#qGnhDtUl$F(|gO!
zIi3lO>|mx&f(hpgnYPAA71Zc)rR(#>t!)aS;62yGxvf1_G<DKjGVnkKs1U(qK#0x9
zc>>*{(~J5eq^GFARruTN6DTzX?RPx?X8Js<TG6i5*qA|WLGhnj_T08#H$=LzHCB5C
z$wjo`YbTHfWGcGi&2+d4A|O4jxHyelqGKA{s-Tby>4Wt1pfbs8o0|jn7COh93QJ5{
z{7=tLFk+tZI?4|fbTD;^FGUoqFHC;$lhGCr87n6W=>yVPlgr^u@}HEY7rAMuguH&S
zms@VsO)JgjQ6rNz1+0VR@l}f|6Y7rcaj<|n-j|)x_C6Yr!};WW6w|91>`rt$!n%Fa
zY1m#Eh=-Zgj-L@aMxS}K9=Z1R{YZn=oBg|<9K^?!{E-K=cTWOL$=81#wj{2mpT0Gw
zgeKM2Qg9Sh5P&zZxjjVzUmIGS2lb-hdMc1CB2;;K@<0WMvEV#lHbo|#T9EoBr^FLh
zGfzlIzMQ3UUv6AH)yvVDEkertnPxv=Xe25!Zko9}S%11#j41brpJyMs4c>!uDcW#&
z6haE+`Yik9!R7+$q|wkRWrQ@L+)niye*M-=u^`JaIw8rwk_A)aGbA3%d<U5+lIUjs
z$Z3~@85@^Iwm_@-*?ytoGy`-R4fV^-_sFM3k;}8*(Lg**s#Qix76BvSItt~u)EcCo
zD_NB7(v$$8sstF2=ww61^yFmP&?>(INpXp7KmfM2eok{l=-|}NuGHxlTC9uxx9H?S
zg|E-f&VCLjk1wIEyh?m;NNZfH0P$TA<ixPDm<4=)?AhDjg?OvssO+fkQH2T~j`^05
zK4xVYKj~Y;hs#HPLg|y2mzQW@ux8HWGRbnKq$C;3<VQ<4<~7UbSzaHQ`RZqXv#{-O
zyz{6QMU*1<Hw#RszE$s^^b!Mo<AD>WtypYv9>-ziRZg?SX6&LUsXPNo{hz7mtlLVT
zD2n4)hNiKXISYeXg5BvB`lR>b8EZ}KQ2p@lM5=N^@^)Kpu&yx6%emLG9+dZ6ZMC(#
zNOgYNGvj)MCZ+%3C=746X(&;mkOF@sW>vyNHa;PLf@d|)9;`eNEbQ2x+nq$SQtorQ
zZ#C`_OD{F$F+Z(eIsS&pryEv!U-AhEw`A{r@7~nk=fKRmp%tJ5O%^@5yQ_bEud%+~
z2k6TaQPP4y%usnfAV}()o3R_EmGHGXFQO;T3&dS!_>Et78jY_}76KB?%5n?TMFrA;
znh^zeb&%sCX1R$=KHrDy1<!DaqXMfkEa}ZM^BF9~+;MW3WjVicTH=+@Kku$1#Q$u~
z2x6ILcAjwpCMVa`>+0$N;=;zp*7&&&;|KH9n<?LD9WpQeQ9SMnBUKY6VGe^szIuGH
zWhM}+ndf>!B7Qrn47v#nUwM)I8#v8)PZMI2DAD{d@0T7;#RCdZ@I1SYk^8ME=&icS
zLO=E62toa(CeI2MqAwYYVy?m4a8=FDiKl$;Y3_Fx#+Hgu2FwK=jp{b0A5-PQLGS))
zDCFg}Yrn&#S`h&83%^T36a534nblhaDYyP{ookot0CQs|*md*LKvSbUS^Qv0tTXZ-
z&HQRkP#`d9X*zuZh^I%J<G}G`>#0%nVkpwht{kZYO%p31Z)f+NINI5-78gy;M2tm&
zg+BzWCIhpZnuag(JD%m*rLV~N+kUb#eYiRU41<hDj?$o=)nWEpVKhv7IMDDhx}#q)
zT?n;1A3l*A;pVM9I;);m*5j@i5<zvN5C}v_NQg0o_${Jp(nq&lwM99f<ACDTN^CWu
z|I%TLinO=2RoQV>WIw-nUd*=yl6@Y32ZuFxadC0d-qXe99lXRhAP_}dOm3vVupdGb
zDEQ1aPZl@0@zv#kx`^h>MGdRlw>h<OY7TxuaeI^X+RBjI?9-bE&xQ{$E$4$&37S(@
z)Vm+PmGIB9>`KtRa;TFts)?7FxN)*9x*yh)Y)VkmX5XV#5krpH&L-n*P0+JYos%nn
zkJAUj83QZhA}!$k5p|haG@6H!mxL0I$Hp&TNmJBI*etI+1|}(`f9IPkKW?XT(0<D?
z-LaXcamQ?yJs4EN*(E#jN9FIZ{jnbgJ35+#tbLnqbT7vWw7dJa9Z)&OWw`kC9^CE;
z4wijG2I|Sp4WUQfYkp@Le4EZ<-_b+PKIHh0y)pSX?-*!xu-=Rc0IbY2N7$VsR2Rwg
z7(LZ)*^?u^wCX=nmUrcOKfy)ipS?&DRtRQ_E^|uwU78k4zj^=+JHr3X{|o_)IRJBW
z6)-k2X}R2^crVD%sQ!8F5i1BemYtQwO%XW&OQ6Vm{<JSs_LJG6fG9|KO!4<@URb=r
zN>4u^6rb$O3U;ZCbYy*b&BsX^0!+r@$qx@d=U=8cyw+@wTW;)Fj5()bvT&hnp3{&$
zK9FgxmloBdkgw9?I%}bfGd7y_nDuQo;WnjeEGeB%Euk`A%KL4~Hy#|$C;F0~zEDW8
zR!027hw9{<UT1UiXP^p)yK%EgkbM4FOu$_(`GtD7SYSM>)4UPe;?OGJF=>CiHk_BK
zkrVJY)9v8&qG5uHdsuFU`I}q}F<o)=lRX8M3}^Nvl9KEPlLI8-p>?yEU(cf<y1W!{
z8U6$3r^RgD+_)TliLA&FA<4RKB{tAJJL)Y5*z8v>&oAo5mpGoa4<!?kh_SW`p01aC
zKs(>5&dRF>5X?cpJhG5>(}^yq!^`sbC7fS>)kJr<+GP|@8gC&cxyp@Sh22|_-P91y
z%w&4mMN{*<tMQ>{L7H(+>)YvLbhF=J{j4YI(NrSi`|z)gRlc@d#i`Xb06}y(pF6Wg
zRRb}7Ww;EIMoBA;2;l^$FXYWVI=nN#vI46&aug0~nl>4q<4QqMQG)XAyWdtQ^XqVu
zw>>Zug1zSG8vSA$qD^_}qx|cS2uCu<cDVKlCam<SF&B|m`V$J}rKa{od{bK7j+)jY
z4r~y1UYM5d<KNB7*1=bMlay+ZOgF)xPv+HQp2jI)TG@B_I{2SJN%t5zN@949?YYo+
zqa_=vQX9Z*$wvvpADLn7aEiycuemyim=6EUuu{EqpHU;`=2U76$0L5jqxc-fqE=gR
zve5vG&a-EVI-$o%dGF4TciWe<fEmf7aX<blu~Ami2FY&2<=4&w5tEDy6@l45hz*D+
zqVDH^9&4f{h{X)vBH2zpe1Q-8X4h<H{~GV*qk48u5H9@dSN1_lt99wA7U^q?wWx>%
z4^^wj!$ChPGqhVnQ#GgTg$IrMt-q8|KiA*g*bgFn@pp?*lQS}upTCMSySs+%FR^Tv
zAtT(@qI_$+^231WluJ!NR>*;8!~{y&@9ukc4#Z4J34E<Hk}_j}VHF{iq3YF*C^D<!
zqKpiZlHm=M>Jdk^usbapwi%C#+yxaR-UdAaWx=yPYqQAn?ic>a59R{D!TYi0c^3qI
zrdczJ(?5>&RbgyYaHqP@x5#d&#s2;Fn4IoAFpdofFJF}a@i0TS;K4C#e!+YCoPo00
zp#7!ZmxdkNQ<(bnMC=4!BD0bhCnI~r9**KU6cFPXHXDx7PQn>ILi5V95GFf_fLCR$
zT}oAH@|+az_w$04gHvvg2TITfqAwoe;H5r!|Gr8ud3lz|`Z{8huWJVLb}~{!MgZp_
zh&kp*f0O^e&t7Vtv`UODi(9m-j*$zsTq13X+IkI-3tt9Y^-Q9Fy>TG&eoIJri-c76
zHmKuy;(4ICkKXuE0-HL}>H)o}H!87(?)lTBxe+)Z#y0;k!hoZd0b0n+++5Dk>M4)p
zxoZbiWkrQ>hH8{c<7^kPgh3Hb7mqk+;yVq|2>gsR5NIqe*z#NIeaL*z67`3yQZL?~
z^uo}s(|9-xK@Ao-`2KjVnL!!kjvKY49dUc4!by_xQ&g{SrF?qU_r*mED0hUpaK_`u
zkFm&7S782T*UT-Tg<~@SMAaRa@cspe&*L@|pZD6Pv`X>zy^)?Qfd|+RiXd6&JSP<%
z84VOCsqw>m<Ln@frU81}^e&0J=L&h$b!1JnFZ65CKHZ%ZAkP>3*YU{}a+B|Db$uhM
zZi(Ez80G#~BhIDcAUG?J0r5RBAupRI?<|L#R<<e|g>W(oq(CC5%4YdQ`d{Kiy~lxD
z{e>Z>6B%!F+d>13$*(eh0|IHr0IU&v`Hvkpm{TP|^&ZsYzG2%tpJ%Eg2dkCB8BXxE
z!^6Y1wY5qZq2=VNd9#U3(B;Mc>3tAB;VW(0+C^|VL0G|)yA%)JcHn!;<<W3~;_kl2
zB_#%H4qHm0xnmIuAU;bRS*X`6OW#;K&+P1`PNf)UG@<yIXE6BZlI*?LU-7rz^Sc7W
zicYQA<2s`3G+rKH3cXV_rcfzkIq5wKix!nY4-7Yfc$g@RT}^?(*<w@4x2TLyjEIo5
z%LV1xQGJV?+J5rPxTAtGq%39#*2oqNat1#3xbSxILnp}_l6Ugd^-wJ~MgC!l10eOq
z7VmZB?kwG8x~|k&<*A&?3N4?q){b4<w)@_)dFSVQSmUnYujpj?p_vEm0lA7o26a&R
zHsw$`NeYfk!}v)mb0~SS9D53?yG2pn$Jv`tjFPwV5<5VPprvb$TnhI_xMW0A%0r`{
z2v9=CC~uL}scN2%4~&H?Dz5|fY{lAJO$Oz(V1h1BS4$~3<EL;9<?`|k>(R*~zrLy5
zwt24M&}Pm|8^zzmfusoqQx&P+&C`8dy_PwRSEIy+Cl3J`SB`TOxSZD}_)nfC#vkBw
z{-#CY$rCK=JVyAP-+Mz>OdK)WJmm!Ezr6nF5@5+jcQo08Z9{~aK5Mby$UaRcZsc@j
z)+T!_L@JIna#Mf9-1VlH78n%zXcD3NcO{0?^xxMPL#6EqU+J8=XUR_KuyJ9`@$&EK
zE{o@iN^M_J%zuB5w1*KfT<T(ruU&JCEb#^oW@TqTY~OuQD`V88sl`csn<ZQJ)P0U0
z!5`#;$R;Jled4~zVa^pfF28qQN&f!pwNDmPA}~W;8N)gqdGPZef!;!)32)t;q`RwC
zAX9&oAUdU^JRfyOm#ZHP=YKzJd9m^9?h0ptXZkTzRU`jYvc{pQ;cRi4WecW*%~LZ-
z#_BeH|Nh;#s^V?s=ep<-5*L`7!ld#uj-z*7#`F;`jARooj>8JX)wnuTOjJTuxCNq+
zw=5eId*)a9IKiW*V6J;{4}9e`LnrRpsW=J<$`eq5CMPdtRT#<QK)21l^+y5UYrd=~
zx!UKway|9$ytOd#l{A>sS8|IS@BMSgx|B-tqj$_dEgf!?zs|2>?cngJ1+ALR+<DE+
z!yH|Vrir&Qxb<Ui(q1}8#%F&CdlGQC7KfzRQ-)R!ReI6J4#A+vtEJuq$zJfakD~uW
z*iROKuO4}LdCQvvQ$}Loz=V}LN3+j?0E@rO0r@@9yLx%W&{oeKozV~hc3hi<+Fhr<
zedVMNPk-c#;{?0u@((8XVpzdetjxycmjQIKIG?#tx!$$2(jqIaL03u7%+gt_e$to~
zCzn>r(-$9u<}<gpyE_-oGcvBTO-^azZ_mbOHkjNKiI@m-4bro*e{E!`LdsLDvXQcP
z%8MHEPyaaHiF$pQPAq$e)KW@1<1qt+46DDD$p6j)0N+w8OVxMnHSX--gYHC7iHSn-
zw8`)}Uw>YDf)xP0pQS+~3(xJcWrA8J?Y(cy&@-kQYZ2f*{1VpNTPypLDq2B~`3;DS
z8jN#`^6Ty3+uG#vP-x=^AIREngIJBjw1AriIq<#BHDPk}^djB^B5Zfp8EF9YM4B9?
zWHNxx<Wt8RAH8)`t*3zx=G4^GKAI_VkZ3@mU8w*jt~js7Tp`&5saq|%Z^<eOcFfO^
zf}qj&fkE1Wg(gD-gc*mdEK;_NSQ{tHFx<$g)<fCDTsgdJ_yYK_D6%t`Jz~_hpds}c
zWtU3seGvRUK7JLuV^`JvFO!dDp<Q_YS}<2n*f>#_v|B3@H2->X`8jbwYIyoGl|(q7
zyIaPQAhOSza^F~x^mfw~2{9Tk=Uz{rVX;_Xo*wCNes*MMSh_$iM)Elq_bcfwIq11i
zbvj76B!lm=Ggyg*LT2#c_TJu}sl>kV`uVZIX-(KJDnaJ<t%!&yInt!pL8m&d8{p6H
z89})0ASw&AlbuW`RGEaN9O)EjB5(kx*?<531!7qSf3f)luwu~a>EN}wc-0=xBeoL4
z;0#=4*S7RIfFWJbZX-<&qPn`pm}8OYwVC<Mh^^$>C|tM@$kJXNHZu^8%L0*C##gSP
z>JD3+|DZdF7rd7F_+#fUEtR_^Ymd9hYbY(CI5;X1!YmjS%M3Y2C`219|3UJ%*m+d(
z&cbwT8LeN5FC7ve<V4xkd}6iP&GY4zviUI6r{}f<W{GbHoE{RLTz^}<<=WF&;Wn7`
zr_0y!aT|pf;k44Q$l5ok;MpDA`!B*+HMySSzy70eoK=3hwiY-d6tvwVl0hiQMBHQQ
z9z|var{GuSH#-ECI2E<wFn*@Qo0VU{#l^rnw;wF>6_C`)1$@&Rt7#2LVqM31L-o;m
zD0_Lw{f2X#^x^m?2Yig;k7badi0j;s4H&XYi+Y#H4l#Euo21bK=i2b)^HXGI;^MHg
zmw+{1?*$L1s*O6^KEijlonqjQej?6~_cxM*4yTas@h2rPPYE+CRNlSITi`W$CNq05
zK209@^ZnCgsq?7q_YUu3`@Oinl}}ZSnDpm!!Y#{>(2;4Z+o&lWp}Qcww0s7u0L<Ry
zVs|Wt^M{slNxD!M{W}6Ox^Ns>zBXb_+S?Y(1oTv!itsNPK+_!BDdg&onZN!}+llT}
zNOijNUsaUH&t8j8ZMNw5U+%nqjdSaD^cvZx5-VA=dtS3EII@u1#rN-?>i*PLfLip_
zH@G84OAWp8DJdxdHRVi3Z2HC|csC}=29O`{S+Hr#;fPTA*xW7I=|Df{&+u0(9x}rC
zcWNFm;zw9Me^)R3=SlDvrO~eqi3WCE%!Ka~mmjSOLx>{A?%35?)lYgR{(hiQ{s_b-
zS3<!k$~Jf}H-eFbkrVVFB=qX*eG!!OTX_v{40Wv%>#Lx+ZZ#Xa<k}tWw)aEwc(O=x
zSh4MIrSbLqphx=9hicO!BO{IacAz)qk3T+V)ZiQty#*z~!BhEAoNXB@SW&X^w>{*@
zH^8Tb?-7P(9P{{Dqxvljwlan?)u&3&zHWNim7_10os}lA@-~R%ww3Yl&#qdfm!I!w
zgOqSc2;X~;^dwR|8fZEh6#FQ;-w-?9dt~EIW%fXcEmqEIvmB|~7~~ch4kx0Q{Kpt~
zLl>&&Zt$-?5YyXrbDqZICq$`}V&k>jfTF)%1f$DCP=>z*f!=h`$5}|q(nY7~NwP=y
zLLv-4IP<#b|1M3W0a>enr>Hb#zm}jXf;xKnpOQS1j!qzr;ACv$8|-qKqjK|r;{4!C
z$71I&3JO+}s~eZt^CussQz8|JxGqWC)u-gCF*4#Y{14lI&E01Q<^DgSzB(%Ew(I&g
z2!epZ&?4o4(v5WALx+G4-K8{0H=^Lsf^<tWlpx(oDkUwApmYd`l*o6D&-&Iof4i2$
zHK)%$d*2nwm>ff6dTC&tVh@pk2_u3(J3D(XK^KEbFJgD>xz&@{Y|<_cg)rU!Z!7UW
z3Lq3Vy;`Ki4K>GWx9^DLjGUaD$jsh!em~RdbATxH2yBPj+Tc)=Io?eeZ4vjv1x6=~
zTjaRiX_b(hn=VTUp&)gemwra4rpfu`eNNU?xV$&wWwq7sJS{1XRl13=G_1mao^<!s
z!e49*;<~trjoBl{<3jt??SA{%D&C>buF8r0o2Vw0kbwko*ERSfij-mgJX+$2ZT3t8
zy(wfjn~o@T<{cO=X{w280mrIG4x6a=P&CwO*qbVx@y1P@g%;JfONIRM^+^|>v8gF&
zxAYynnRDHB0)LCmEG_Lf--0Sfs^}@fF%>SegSd1CtaHV4|D70@(Tm~N7Rp`6HE&Q4
zj#}$tRblV(G@G?2cfBrlW(3!bqesQ?KR%)j(Z-X5kwSP8VkQ36Z$X3Ifb0oey81Q#
zaC-et+~i;;(`bzuVfkCM%CtaDiXtV!O&`VSIWh<Lrv!MSH$y_1m}qX~O8r{AXs)ap
zPSNhGRVXVY?u5H?P*84n9v4hbd0cROt?Fy$gMK;(C}P_xo8U5RYmj0yeV|#ZP|}b^
zt!<$T;R<_^)$#8YPS6TQ(5wj;Ss_XXt_sJZ$Ai?BtpscxoJdGhv)-z_qj2LNzCo>g
zL$-eI3F1>~q5Is&lf`}h4E8@?yn6uo1_m?6<5cg|(bn23DIozay)Kk;Qn@Zho}-^U
zd7?4SlnvTJ8VM9?vZ%7{<SuTUjnl0IlYEJ5RHTg}8Ff3Tqx!Vndd~i>ABe49u@i7>
z(6SeoPMQEKYH(OB*h2Uv;kMXOO#Rikni&}xsWL6+oaOW;-zUZ7^~U!G-JE1=yvdhK
ztDvo16x+|hra@MGbIz_Z9v8tjeZe4Jc@l-eXbvy0u-XNXi^J1owVx-!gsBv2Z!L?6
z>O!PeTE}9+|Ge+7Db|#DHJ462DWANzOSdhnQ)4&q-rlJfaOr)Qvm&hq3kj#;C(}R*
zM3Y3^?=HZJ?w7n%Z1rE;1J3TpC>dCYvQ+p*ZodwHgF^M}(w)dWWO;erpyRF%9_)m0
ziGh)X-D2r#+kQ3mY;(LAz;GD@Eo*jUhMb*z_0fcITI5c+kVeWSHzQTt&o<#>m7<b2
z+9NNBDC(w6nk8`R)}9Wf%<b0i`@?VdX;U)Y#wD9r_$n-q>-8G(I-E4z;?#(z(1NDd
zt#)JJWNmWVlN&+0W)-J%^E;*XW1Ib4FXz2X|D!_=Ph{X7F`TC}ehyJHj^P9i>nZqg
zkCEkW;;E%M9@7-$&`Vjl2E51GY%1!#&$TGP_4wcM5dix$NDf?l2Ibh8QNdN%Z<ihU
z;-a~RY}+czsG-VzMl`LJpOwEBZfEyR#4}8Ji{~EZXT#z{3|-NTXjWw6e}Cw8%#!tn
zD=p`v+_D?Bv&33BqRN`H_YJ4`-Iq?-c}`AztIMrepkvcW`N&Wg>ZOi=P0;Vn#U*dr
z&aggdGHwsLJYNf#`+6<zn8)}bEmg*mkUit8wzh`L@A3rKT*BQxRxfHiA&)<aQk9&V
zUN7@MnR1~n(<Z))mYc=<+2Rl$qEA^Q?bI;0bZa?nhDMP18q{i**D+qdE2JT`f}Y<2
z(|f7)c~I$m`t%9#u7q2BjkV_>fm*1}y_uKP?5oTcbuaG6W(t!t<yyUa4hh|kxvp3o
ztsE)4r8N3D`G-l|B{m!l{8jvCL<4h721|hzxe)&pKLd04M-$4wW3vn)mh;=^tX-!Q
z7i#OynI_B_G_B5heea*f-F6$ERujMAn}myI{=v*!dSzGmvK3kK1T9cddJ#>^BGFr#
z@i03t_xE+eOnCr>kWVT<?b(!t`t1wanMU6xr@^;fExNAeUktbqxVE?MGFeW0A_SiG
zvCR^V?x{xX<Nu_hhq`It{En1aor@&{=T0{zOK?I|CZZqL+--1papC~x?*l(-_WgZC
zFqek`GhdX%RjCxdwLRL4i@nu;wwBRCa|hm6xHoi*?r}%Zl<jEOo@!1=>winvIx?vC
zX}JHR>?DLN=_l|cUf`23{MpZ1{1=@Qumi((u9j5a0k%-2eOAavioM&k1Ba+@yp+lx
zn9%M67!LW?hpFWTQ4>(UavEPLf{mu7PDlLxLS3FMPw%FM>JiP8kY-bv^w3fc4#JtF
zeKI!!n2^9jc25E$ZDN@IylCvI=o%z_LHsL_QU2ZXQrsd8g24%H^l30{DOk^6mv`Xc
z?Nnw#(E2tRi?5?WtKTNVux!$=Vg8&lVC*vH7Pu_da*e>e)O>z}BADJ#@F-5^@7I&d
z<FoJ((wL`~7IU8`TnHV5+M)o{S)X1%<!k8#_I&6gZSjpv__PYN(dLB*aojjZ4!x9q
zD~I6JEI)2KQouUQrAt4y6m$c1&n|bl?%!o|OxfvudRTP*Mr#MEuBFZwugh4F8kx^;
zgj_Xds<}%OubKpZ^FD)u1UW#e34kz!eULIumKj-0E`^m_pwyfU0frD_SBz)pr{zRR
ziD$_2-`{CI{&IBzhUftSf8wMB4SokZr{9P8PUGKh$9{&fy1LQH;plS_R79qSepNyf
zguGo>w(N(V&fJd~AAR4<MhJ&Jj#8kZq0bO5MTVG&#t4x4vBhd=2c%M79gWDyT%Cwq
zpPye8T!tXhq6uyn-VZKP&K!bQ<|(<C2Qxb_@a>12R^QL8+0-J?!3PCQy^VV=Z#42a
z?tk1cH&WS`C8dDH+_zM;!rd+yHH`B#k^f&d>cD0r>UA)6j_Q%A(!B~NKvBY<&oDnz
zy=ft9jmK<ULW_#)M-#qAPlW@ox8txngkTWT82#jt=-tfn+oa57MARIW7*o>ZN1bzX
zmj*^9C8TVkYrVAfUO14fr)JFC?p^!3bNrkXkcZy+8y^Q{G)vs8f4eDhn+eB4;VBGy
z^Xl0(&zGnhA7JDLHBU#Eg`z_j>>q#w!q|MLf^}H;M}65EWkTpRK|<Hr^{9Sz#@ets
zaFn$>6_Pdc#_X2LTRsgu{EWYTbH>yYq<<4?WmH5|M2gS8eKTYE%DiIx-hjj+`UXWr
z3FxNTQhfnb=}QysQ~Q_V7Guf~A=+iYvz#g9mML_DjBRlJsAK9#9@Xb&ZHvHQ;tIC0
zv(T9oF6^eUr+NxND1Q~_xHkP^%!v69389$a_>C=}lpq$`wwA1q)fhpR-V#?WX#GD+
zvU-((mEP2t2PWTKqD^SWZ;bS93Kbd11WZoI=wH~<@x3(ocA~IK!9bdX@{HQY{6z5=
zg)5^x(~Hci7;R^Yd;CeDa>h~xkqtuo;%2ojS=}^pC{)Fs+3<t#@)Z0|tYbNC--gm0
zm{Xl~bR5(x=Z`aCaHMn9-lbn7rwN}4pEWP9*gk*3^Q&xf>pWn*U8HVL(`cl)l6+S;
zKwBru91_~3@D%rz4E}R^uplaq3IsdUp&^Y1;tgM7hYcc1%Qd@n$Yz3)wq#JUq+1AK
z^dOXlsioJS5DJ0vUx}YzuK+uhR|9`rM4DS$Tie^)Gt!ihU>ka}zjSry$tt$enR&u{
zr8HQ>t8Fs96mT>&Ir;Zl6J4(!yOUf`OJOLUtd^p60s387Y}y@oi_t@?TkOx3pHqzg
z>YS~6ueM)BI+?Cg%S4OW8WEMgabQlznEV3|ihFUpPp}(*Sk;7g%dc937&Y&>$KO(;
z-kXY@fIKg<L$htMy?%P~kji3(XR9+k?^Y$E2T23V!$44|J<E2)oT-s4tUmW;{dGLS
zMOm9IU$=QH8RwLj9L_j7%ijs}l=AgiwvEG_g6|Y7jbGrC%ZGF%j66gh*}6#e%mB=S
zPhdN?$~>*fl=1sjVwc{MgZ<l^nwq5cX{Gi)sz!B+%I7`D*OFs(4!<`<D{k#i^y0ZS
zK@6>~4Jnd|^jbvXSEiC5tM9warU&?r03*_b=fcq0R32+BCX>ln+N>g{vg7ah_QIR^
ze^LA6zo@M>+yn-A(gCNh(?&*I6gXrZTp#<)r87W}Kh3()FpT~BGJDGo+1Y)|&9c&R
zR-~xxvmO_orB4QDlxnWR0Y{<K<j3?+vreiNb<gpv(jz<qgG0JA9SH=fjFQ~fueA<H
z4c9!RMJ%>>KSWaTy3o3#&HdVA1Y%4cQ=;BNIFURm`=s;`8X+#Hpr*<8?taZwND|HX
z%VzG{w+m5s_;7VY$>+2O9^Xe8Et^`A$hmdtF&ZOXIv$_uE6PB*o_nMDN}eV%KBVyK
z%I$^kXbHsO+E7NuQN_(&(cZ=f8$=v=;@7oY;cYaF8E5_k`jp3P+g~_w)naiC<YZy6
z2^J0-0$cpae5JU(wUGs|>qkv{mg!kI@9jnsfnBg4c40Y1b2KEf^xfn9U+Txk`n7Ni
z{R-Wdu*MoLa7m2cF#LXI(16mZVPV|&g4|Ne2KR9t{|=GA7U4JZiYsdkd?rK~<_SMy
zxFz-}89O99$wZJ>qMv82&N^n;Clqn?=o_zPX7y9_NqnrOu~>r=u13bK-(d1KM$^yf
zIJ5rk`*&+PC8$w4xa;-DWI1AW286C4ZxN$E+9*$-miq>~CGY)6o0_}aQt~&xcSlah
zDVD)r5VfScLQG6*VTvi?p5yg`M_%my6WpDzs7L1lg3!2YUHQ1?=)Na_&JeV2SF`&y
z3(k*JKZ^HCtM535eUigb(6;_f-*sO-&ousv_GYFUYDH5Bhep0nmY8XZY;sJR4KPQ<
z#>Ptfq>z5JtZtOrU;8bMv*4tZ+e=4i7Ps1HTIIg_e-Bo#qq@GnzJ2TmwhYcz*olDa
zPq05V;e#OH%#^Ml6K|!IjWtn@mPAGvt?62aC&~_qX5-Lw7pP7-XBm}N-gtoni^QOq
zJ`zNR$fuGT$b~&`s#T1>G39ls<=1!NFZWhJ$Tz2a(oW#+*Jig4)5L+Ahj4^+(4R&p
zqxkiK9|`ylg*`ZzgO8GQGYazGR6OFe#MjBs74Z8NKM<lI@ZYxMT_Fxy>oQ#SXP_}K
zNvX(bMlNe{L2RuRlzNjT|B~SB;aNaXfUr^fyy2q&t?Rs<+W6hSFVoLRx@mG`f`bkY
zRq+g-b9ANhiP1Vdexcf*WZuUfv#LM+0Ee<DYmkuSnj<GACF%A%Ho`~jMxen22iJ#(
z3Fxin_HFHk8Aqt|(PhxDpyJN8^FO~go;pNtHuDr(S5#~_JI%G;&%u`FcG%K9hZTMX
zXs`kTFRu*CF8n`;!CvyE4gHRTmI@QIr30HUK4CCxM=}McRfy{C-~VM2u_7T^Djfv}
zVM6pq#R8L?swc{{c4(mIFb9vW1j^-z^r?Y)c>f3Z2tqV19=<F$xzmNP9~8wyS9?1@
zR<ONe)n=@#ad830C;`0Lfx@H*|K_R-?eoJ?*Yqe`gdH2k#olie>FUbjJ=TTk$R>|k
z!uum)T0Z-Nz8}Vid%v&%vv}clhb-DlZwe4!<;@QW*g4Lvl8`NX-v-%KikIX4!~Ks|
zQ(q5uzZtj(1UL>VQLV$w(~B5`PQM+;HI%Z_S19J=E|Y(Gnqhr@J90rv3F>=9<9(Bh
zBYlAD-p%}NCbEbrf6Cc@+Olheca6a(#|7+wAT87+&vThx5LfLsmh+V?Kb7{Mot=SE
z=kb|s!@;TJS{pV)UHmxzH@})0!1{JJn6dY{aS=*O)9$UTd~_f0E-Smb@$*%WCE)Uc
zprf;Sv1zBv4{zxhi!0v@*-|VNe2pHTPfa?BqS<?E&@gnuKNJ>>-^sOX%xE<<&ykBE
zhiOu3%T6TzMshL5jt4>>d-vS!DqwtfmowDNP6^ncB)$i``(PC9h5yDT=Zza3tom?>
zXH1jsKSJ7wPSUq*Op%H>NLM(nR`fy0bvalVq>!b5jO#TYUK6b`&L=2H(nXa-{*v2_
z^`_DjC+*sY*^+0=5a~f#RXbU{UT}Ma<n4F3iXpdGMhzr#Mjk$VDC74XbB^U-%%Ng%
zFsFHi`vIcefNkAPBG=8@TnmkMq^O$?tE8lWb?QG+JJd+=;4*6H*neENKmKl6`O{m6
zLAjI27sS)=(uy`ghud-algExgfQ#4Xu&5{y7iVH}Kzi$bFP2`6L~-h0iSy)NiR0Vc
z*0$jM7XU&|Kg96IGtjB0=q)YHPqd`ohBHd}CF&T?2boP)S6UjVE_I30lR6Uxb8aEO
zP^;xF&)cW#sQZT*pRI@&6?dI}y)beR87x$0H;hbN^`RYauXFhC5vqf)n_q<hmUtt^
zTTmc|15JZs%Im1Vo@$dLgi>hCNF(Utb0xzmmJN|bD$6eB>Bv(K$mYcsZjeT&Gu_v*
zK#!s+V-TTez-3^vbZ?3BRgn|tejEQJ=oK$7PWHDf7uVaa)-qf`nQvL`Ba%JjCnF&y
z1~3%>c^bI%inPd1z8iyy%mZ+It^o@guJbASg_Vjt2+kG~>a147#S^dL=#S7L|8)4J
ziqB9h|E?JFnd{-k&y9_KLw`@t2jz{q^$+k}E;jEb3f-~sKMSxKJOVC<t-4V^wXV+f
zHcpfMF_ANae{>}GHKgpkk1g$XqX5W=XMNuq*smEHTWmjJd-+=D&@}o?+01)CP5Gi-
zZ*sw8KR_Bw2kRZ=tfM+DvQ(DX)ql5EBQT6DfiNCNE={e#dI8bf<`$rz#7h)BN%AoK
z?Xw^!Hl)`erP?P+cQ1n^YMTQ^3i1X_*w*XQ0=up*{5ArPkO%2xCQD$w`VByOBlAe(
zkNp--+R&owfB`K1{!;pr95#oF(8wYaqhpHOq!ay>yse?6ArGiVbGH(&*Q(wMcnjSK
zk*w8m4SB8<0<{pyh1AhxjkWnJfq}Z$o{TetMYQkf&u^g5EV7$5F&J(d7#P^^xcYk@
z&=o<>8jAzfYvcG|?YO2F9Up%k8|A^|6tSzw-`A2y(o4-TVCwj`3zUcbpBR?qT2V)Z
zC#d(dvJE_ISqLYc+J2xGDdcEi4}#8~l&ZbKf6>~=XnwhRJmKpL7x*%EjMg4SPv>9J
z?+`j7V)=U~?T_ySp8ne$xhG(^o5Y2QP>3{D+rIua=v|B5q7#5#E(M+}JZqYFK5=n&
zmN%yA$$|T3?nQ`dmu)?+sHwAkvm)7h*&XApW+l9ODqG8>%3cRy>|0wFGOkDj^3e}V
zb-7`DFUhqqpRJ=8r3`*%&v_YEb#$~zu@4*q`x^Wcl;&VE4PIvW=-c~;qXE+RjkJYj
zL)jP%N8}@Gt~Z)g$`E%R48qORfpWWjt$xEoI%#WPln<6~TR0dJ>xwzu9y^#ByjTNp
z{ov{4>&RB3WAIIRczB$L8}26wlsJA(z)PV}93MNJ<O|nUCsl>CrahNVG8I3BsOCcb
z%IaZSHIf#Svyp3f544Nzd(mv&8AFpd=atu)(ss!rRI4S&gdbSg#@%d{diL=6_zWzQ
zT(ABH+O~^zR6gA+Rg{%Q3pkC}DROAEIUs(*u>WLtR2#e5#9|2J|2^yOo=2KYyK4m|
z;;rl-Cbuj!z%rsdn~Z7QGss^0SP$0!9H1eA`kM>U_@#tbw#3DmTiP7Zi`-%7tU3GY
zh-%2mD!oehYG)^bEdo)ZR!VjJ5r35>Bc|4=(MZq5-n8o5`MDv=Ww_ziKrbDF$-yx5
zq=jQ9_`EpyGk?JEPh#TY%~vfM1M8e*k93G2KHs^Q6CRO^ArHK-!sxATm#E*XyA^Dp
zUG+4syJzjANMnZ?Jl-7u{(p+3k6gY=Jp<@Qk@dOjBqD(_PH*zbo-_HqMl7e(vRky%
zJNMZ>8fAcX_V>$pita)Lu;-|INPah+8d-B9d-xZtI<?pPo^XjU_$|z8Kb)2S@fcDk
z`r5Cri^D^gCVGDs0$ONRXJ!mkZyaoG^*nn``PRY)svy}}Q^l;TW^H-3ba3A6#~SE}
z8Fp7ESgRJlTYsP5fSEBs1eY_E(W7ip8+)U(yLQp$>l5f^K4gPx<M^|^`&(iya=hJr
zI#i{H>Tlfx@*~H{4#9flv!gRVx;Ng7h7y{6U3~kmn60MJ(QJq${y@~9%oWEvY4f7X
zOS_XIbRMQ`lB2Se|CRS>)PHQH^w!5~>ox}2!I#I=SB0$H1AoWG)){1ixDa~0x^fZ+
z#OyG(No_77X0(;;1NDL;TfJF+N3Ac9!ek*@4;q`m^V8Gs-@l)p(!gb!NiXkMMh`kh
zyX`sIpZm2@!HH~W3{W?l&B7b1-)cR5^ZJWUypSS2ee%>SfO8CcUE1nEwU!P)Qg?_s
z1YL#>0N)$ZH-TaD>jb8?VjPB&EhyEo){YhTDTm3*!OTziR(}2R5YE`$UDyd9xns4}
zOcn3u3;X$P{p*7NhZZGpMgxF__xi7nYIX!)qLq}C_=EiYFJ$84uIHIO+kEt~C(m)t
zB`z*5xXp^-?#pGVl){oc{?R!H+=?ygxm^*Hs{%H!7b~oI%EpBrS`?lJn$X3Z)33jH
z#W!TPx9$~Ftd^ohiW=$#Jsbv$xbi&9CJh@FEKr4c<`C&!+uOq9^O>z3zZ)NoNq+w7
zxgZ+rs|73+8)pKJG{#$Jof`m1zDfx~Kw-Ecgst0duaZga8Y+X1EoTN2UL)}!O@@)U
z*jNThpP$}sRTyvr1CAA5l6o1no`63Epa{Y0t}3WexO$B}oPDnb+T$3BU-)|Sy<*IH
zb%y+$gwdW?!xUAIXt;Fq+jL)t-FNDO?)xup908nS=SC+Eg4XKu)T>zU!hMRUYNLyp
zMxy2XTcDZ1V7xB&W=&hK?8_!G+s(%V2l<z~WYPQk*)|3Qj5Gj5{XdO>WSg8eY_?k8
zJU#V!KLh>wHuQrrLtK1>Ks0uOq`k6ZVQwyCWW8gNvzGuG<`fhy4&g6MbLVsr*0{8q
zzH(0Ai(6&J)2br~(HC|W7yH(eN7wsicM4J$O-oHDU3)qD#TuQ)iBhwTzL6E><X*R!
z>NHK&13_KpsFz<v|MZ)P;)r9Q-2Dq|W1m;UwZGI6haPk!%nVn-XZ<hiQ~E-;H;&hb
zM6Ki>|IlU5EtPZJav~b;9v;6&1Jah55Hf#Ht)@M}9w&+crVwT!7`sX$^CuU>9!bnW
zZl8z55hnOK*Y_k63LyyNMR>ocj23<P;5qCuM_Pc7kJm4N!0oX-u=FhLJWV+PSHE8H
z30MgKb$Em_6CvMo82?Y_ADMSG$A;|w-k}7b&OtG1i#r}agU{e_>(m07cleB#Lf9#E
z&4>=x-;a<;aB3TPc6hJTJI~eqND8XmZP0kp*Vk8ET+HaS+kWT2d*$~1Ge#&|P<?9=
zG;s|-5?8T%h?jat-Y%VU-Ge5wJ}WZMV0F>Y>OZ#D4vs%D?nLX!7>ZTn0@}Wduns!D
zTF}FeD?@x5wrvN!(tJ?I_k$qU$L5tIDaFN`FLv4Q!K<f&Jp6Q%FU?i}i95jTf~N_i
z5LMl;<+OQ+n@9lN&Jr(I!*6kO2D>8fi`dmh!wPT&4!C+{az?I_)7E)STQ{1W-K2+y
z+FA-dpL<+x*<^ktg&SINh5n$3KtBN65LRnT`sYpi*X3VaU+?que$QYXc(MYl4qGK*
zj|!sdwp$7D+o#UkrLqEh{YU5>mmDOj=~?eNiEAU{IZ&;&A&2rt5%{=d;L}CK<O8vk
zybeJem%1=bh-{EsKHfz3<WN1GOo)wmBU)coERpH^aOvID)wi!AvAe>WD=dv?K_u~@
z;>x_t%4*qPa0uQuauBs%voA|G$*z0qy1h@18*MZ(QJ!dMnjs?ajr!)>`-Xe$4@Nk%
zNg8Isjoz!xOK(J;P0qk&R&^Lh5f#o2bW+W?XN{9$UOW05|J}xwBW?A32}u(KS;I%c
zX&^X@a}<8>MF6QJc(g1qKC7bZ<44ezjZY}LjkKgeHQfZ+VFdiK-gVhENKfv_a-ECb
z*L5@sfqBoIxN~^JRRT<uj#w5S)qZJ)Ub8e=4k@A-ozgw?wrvc^Ydr0RGzaACB%VY(
z^%kZy4{4c46a928bN7kcYg<}a$Wp&Q5CB6C9tAi#Rg7=8O0x<On6?2m14cT!XfHw>
zOcVT-IWxN@M2btMQxFzdQ1{F}_{rj~CjJW;#CHU079cOMSeSx4;+xGV6ZGemaSsZm
zQ9M4XIWvCeXF}nodTu}$t&z$cO=Uzg2ckZdOrj*7SOi&mm&_=a#l}A=fko`_6plR+
zaL8Ie`~3NHP2P7`QE-yaC!q9!qWPsrrPlTRg3*fFq(x;q^lIaR^EECgS2zq^*5vwh
zy1oUFzXK8knLl(q7secQtC@34Vxp3ifs=sHdh6KPg_jyUHm=M^d595LW+j2ecjjXC
zKf`UX)6U8FB!C7h*l6$KtURM^yT$}>%hZ1O<^`L50*meSarJ05>Zq@VluA5my!?F-
z!N74Fq*AjTFq^7jB@Qjp+{^WAW86NTTw5!0cRpE}Pz^L9+PKI0K(@yC_MFfVAWewj
z9~sW38X}g@b`342egZZ!z+Lvo?TA7zIt>AnLQ97rYi<osE50nA;u6>PeMDZ;eM%99
zdrZ+@z;}c*;M(Ith?=jSw>_Cvp)XNc#yr1moGYZj^q2%Q4=%(`yw|w5KB%P>8I^8-
zw0m>A%T7@~+z4;j3I?-qWvMRKd;#ZFVN<N?PqBYYrIH|d*w5@e{ET-z0Qvp!YymIY
z*%67<GGG-(<VtnMaEiySelXV(NgAQ5nDht?Y@6N&XTJVBFTKC6KjUL-Ju%$o8aTfU
zO7$lRWg=L#$G+zWHAiP>svfJOnG*$BS&0q?rD=#jHUf!`Y}%fe75zLW&-s*=E9&i0
z)03L|ZK+L1&Bsw}urM|VCj{p;3$ueBOvpVpv7$25csQHAFq+?CZlO)hJtm@;+GRtb
zAi0Tr-2Ud65M?~LlneIWH<I@Bs!Pro`i>&c$_QeFRzyt=41C=+jY;P%#IqvN1c^4x
zxM-&Cyw(z%eQ&t=Diey^Tu7tq^T+O{G%s^{y|Hd?ngWqWY7~mqp9y8!5C6!uEVMru
z5Bemghnln&fSZ4uyJ~+g3PGa~&oif_6dP@;C7l>YC`r~nURHs?wAK00D}DUkT3X$2
zz|IV=uZBsKk;n-H4c2Ll%?Drnu{rdL=$^+@Kc_@3i4U1tH{K=9Zp^Id2J_K4y0~<V
zy=elMa6CVm2tt>+d2oM%7=TQ+Vb#oR^a0qciwj;TI$G@ZW`qt^eEF_^is*DKb2e|i
z3Tny&qPM81gSn|vBB^94Cb_EJo2J}l<z%}RAzXp&8a8pamF@@|3?J0(7Vy0v4j216
z6IV)U5gAInC~Ma=BRXo<%dvX!m1foIiQi;})$fQO?J^>NgD4aLPk!aV#f#;bX`!LT
zVPY*U0!Y%A0wS#j<D6(!8Yde-n*N)Rtx!|1iubgWLi6+2dqLIu^EG?)Mi>_psWkOi
z1}Q)N%MUc}KRzd&1@IsgwDl|3-lb@J&-4VUAkEJtZ-!|7@H1&()wR#LC~~HeWK-;B
zaVFQnRVg~h<#@DknYC?@yl}hIe?JFcV>w3{k*SrooGi3ZNI@F6ZR>`M?Th@1(InrS
zM_nnz4dUSY4l9uWca|fa&nNA~mve2=EO!6BGXtP=LK=OmZYI-HzWY^(JkRZq?<bSC
z(Px&Uyit_&+?G-?dHm4b^E}a^(dTGgjAgL_nM0BeWdc6>rKi<g<RMoS`l&%WCvcLH
z6sO(HmZ$1c(lmFOa4PAy8w?i!nU~Gw*`~+&&M!NOr+akoySZ){ISkaaR@_99wnpGe
zLO5@b3>alxS$@7yC5Y@EnFI@dD93LViAeTqP+tr|2&%Bc-o(h^J(pSnE*#F5mzcKQ
zY^qyah1oh=&*=!VkS`HpSyT*y``c8%ceNDQ<Q^Ps{LHzkKu4jSi6(&kun&8F$0(93
zx@?u0%&{*~Au(^criA6WVs4kIN5kyWl1MKywSJPLGwR00?PJoX&z!tgcGh}Zgp)NE
zB1$Ihv7XHS@n0nTKthId%0#dy@6ZPJ4aPdASPH+Y?f1Q@;Cia)c2(6APm{#LxI7k>
zUX>bN9D;l9;r-d<@h@i_q)w!%M~6M3&aWtV&wK=8wG9x>e6)1S7nX*5wk$MPCh1JI
zzplRxC49HQ-nqZh$j&H&LFgZqR<^saPMSCCzT-jwxOsFIa9gavPMn4q8%{Dw7L^Sh
zVEjaJv_3Nm&qFMu?zng4yck`Em4|j)l|BD@cjM)=E>Gq#KHqiNYbk1>_kPbA5=3Jr
zV{9V_TmS5b5m8r~r4~$lDj|XxTA49aG4TC4n{UO7kc2D_n%jq;l81_@@Nu#YZoyr-
zO6`b``W6#E^S<AJxN<01QW+Vxh2MO#1_|wvH@jrKPVt(8K{D&Z?0`c0ofp7SnNIKi
z3v>g@<G<d)Bn0<&O-Qw;4C52~*UwP$t8_O+5mEh!>N@(0=VEv5NmK86wc8AS`D&4%
z|8aK4VbN^oM3PDWXm?W*oG4vun%^v`dpl_;`QLaZFV*=L>Lzqz`icZn%pV1%R7zb7
zoIn=Wy1EV^V8K@)MpcE1s5i{*R{gk;Jj^Z}8zA<oCL}M5)y$1-8dFAdU;AwJk!_<V
zMe<M=H^dkxB3_r7pa=%zk8$#h`5|uCJb>^5f123M_UJ{JEPGu!nHhCVn5yL~8zKzF
z%iNaSiFY&(*3vl+75Qw3PaTEys;Pg*aBY1=kVAyCgc$`Wf^!MAp$Ig8xGX(YPKO3E
z0-&b4DE}GJi8jIV3nm}DL&>GN7c~=ugXL(h_~&;7SNgeLQo7sjVwB|{lPVBc8$0j5
z7MrxUaKdSJ-}x$}aXBOs)~oeMCc}nj<nmj9fAYC*(eK|m?Or$i+f3>D2HxRvt9;+5
zyJLuR6Toyq4YI=}u+^JNo)F^0|7Ku3Fzs4r7l{nr+P4=X00w2~aD5~x8L@`A4torh
ze$f4|3B^xztveQ>?Rg8H9Ar#+{oZxkoyTOiEjl^y?!2ImXcEpQXCJ7+U;r-X!MY1e
z^^!;aelw;?w?JPK#`k90lMpFxQ5-ENh$+Lhf(^gIq-GTT{9adi(N75BB3Fu%n?7G=
znQSND`xX4P5YSmHF8$EC39@16GAduhACe=LR0fJu#YY>C3=%0!I1p_4*>0J8la6L-
z`a3e%_N=FSZ8-x6hJ30LhpmFTz}~iyxxMZ~lKW>d%Dx!g6c?6HOB8+WbNokVCrbHn
z$U{79yzRZ8TT1&QYs%Y&iL`Nj7ZOKQH+8m1$snfO-hzrL3Z#NIkZqDMW5BI?b?0cr
zlh_8~iK_{FBbuo2@eP%ps_Z+JPUP2aYchyW=WVWYGsWBQL>BQXM3K0e@}tK2RgWVV
zY;p7|jSm(j)*;!pUv82Jo|HbKH~NK^+Hghf0{)n7N)t~Zg;deW2b_I|tc+4MO-*S(
zZWwh67%A>UAt7UIY*u`jN{9FqE|a^6iU-$-<^xrt@bRIOulIO>0}+J!Q(yy*>2sT=
zQ%M;KvtL;cB{{9chwo4Q_?T``xcNXwbK9^CFCO0l_r8GP5FXiDl2`kScQUlB2ocNE
zA~{GoL7v@qZLVmiX7HM<K{5p79THd~1jMt8`bA865RbQg60$a>nrmt-qen@3IiD{O
z!UQK5meL;He=~i-h4*31LmV$eQ=Dl+mY9VJQillcCnz!_;^mPRI83nXq(5n$UYfqW
z?nV%ji~Cwm4Bg7)pnll6-3IuK2gH6#<Zt}&d?`;*z#qXL$7k|8`M(TgPlzK~-vOZT
zU<f(|i8;+8?^$0=(r1;`0)AsZew73}RY2ham<GJOypnUCmM%C)xpwtrG0v;3_7vIq
ztxp7E6Burlg7RCE(B-7tw_X`K>|Z_=s#!Cy=G*-(4Hvy1!V!Ca*rt~l7FbTrAuw3I
zp1iJXUQ$A)lHX|2Tl3g=4+^<mk#)bi?+$mpbH;`hq^~JRHu~ueYucIr#Zr-Blr59&
z!;J%v{T(0_^Q<BW`N>47eTOf2jwP71H3);5T}t!LyW4O)NR{B@Y#QLK$#cCgb%sUP
z9HA6LCRbpiN#ypOBSzC|@FN#wNFIWW08B3o8JAh3uKL`;Yf}1nyf;93w65h(3D@;j
z9QAO(Y308knP+^=iQ=uQ>k5Q&vyF<=?YC}BxR$+P`2@zeV?rioW;u=;x4di#lfr-f
zT*yrQ828F3tED~`TTg~A*Ac)1z@zAQECmBfzxIoTebaWylle;fN&A>YeOrNgyxcVA
zb-ieVYqH4venb;X6M8vQO?{k-EhZuvCK->^j`NKsgfG{l>K2(Hu5C}4YywN1<e_rM
z5+HFIP_|0r20Qk}O^@DHerP^D=ZY-UweMOelh5V6I_n3`;;zA-+R&FhaD=68iOoI!
za>%ntG@-=9k~B$)m+U<a#1!$MCl41!`XwS_H5KhMqrZ3oR3*OYKB*Oq@`!A(o`l2g
z6?fyAe|eXiEAcX+8`a&+>e18M6ET+XgGFXQQ{9`|?3%cNE>Q>!^YbfwCwa06dU<h;
zalkDTqIMy{924J*MABsaux*?KHgOqr6(c^5t#y9t!v8tYO@!aCQKfvg=AcWz@o4oo
zFi|9HLgYJH3@Yp^o5_=zSU&w}JQdH!%sl0I+qxAkaAnpT*JKyI+X?6qMwr&r7MBY_
z^Ru%i?4IBI;{ixxola0m+v7CBCUd`g(Q`1A0g~5r`5A8T_uUPjyvDg*o_x!7;#%Td
zzH78Mai<8LycgB0&>b<9aEZP@Qu4e_lcMR4Of}c<pHgj&KRS*8v)Ofsue~)zThA&o
z1ZM}uZC7E*`{vIuYRfbQ`m*VfoT5(Ghx2iTLJ?h3S3gB-wG|e{emu*4^z%V4?HFP4
zv?)!4p`K>8B+!dk5p}Ms<e_eYm}Ketb^#OOj}p@da0}b+x!}84-}zu<{4W6|)lPw*
zxE~mK5~m&@LEH9Yj3-Ukd?KP^nyMa)5YGBdWaBy5qz=h_IU|tut-7J+aG0^*rLs~y
zj%)s4WU@l=r$#<?RO4LW&agQI-zV-l0!kH}52B2CPE2ZaB>0nZ>R!c9o!elZ;C~1l
zb8Y|@JM%+8Crt;lv|mQE?i|Ohd^-wN@|us#M$UKj^lSA8b3UKDz8234BUu!l4NqH>
z%UZi?I?l$v=OTx9{ctTCcW!{0gMKwluckv#9*Jvh0nyMoX?PJ$)xD4JJ>?VZ+5D(r
z^Tb5v&(E#_?geM>M$}*xm!Z$9JfNO2rO_yTO>J|-G7Qc|Zu)rX+)p?|Y`u2MHyc>e
zEX||o2M||_LTmE&HXt_y>N5kZINAW7lLbHzfU`ABSsELUnf`SiROrT<nz2ofF`+gO
zyB#`Y^YGENC(N>iC@C{Z7I{Nz!#MbJ1OKJ#n-6Ti((KY9LhC+DSehR5m~atvIt&ed
z6>8@4T$J_)mgHY$v#{y0b?jH)GN)TcOU|jW*+<-ND1_q}qcRREasVHGb-5L~><Rw2
z6;WXUJ;{gfV$iSkh0@bsa^uv*vV$w5#FFkl1(Rver1&!)`&3I@+YL*cCKuvI6zqzQ
zxa&MVOS|@_sLjTf5CMkF0em#S{PHoF){|F)pfk+r_%-NRT;#}Xj)SXBRl8rl{is;e
zvqi+P4}ix3vFZa!rCbULw1-t-q-_pQf^qRgkCATCQ)MU@;E0Rg&x26zz$<E&{3G~s
zIv9oeu||s<0xwM~^%F<~dV5(?{=x+#SeujkXK@;pCN1?14eOcY29W;#g3mL$QD!Zx
zbEL3FRri4>l46vJ(A?OHIRTLHo>BWPa@sPf=Ci4e-K4+wX48GZ+qq%H%YO?1B2E&b
zw%a;@*ws@ZviKsqcQz-~)Iy3lmPD|s54|e1bqS7sg<`M6_-&ieC!W$$AB<?>PA)DI
z>t4K?H+A9n6;&<ds+8RlSbeh{DqMIjzv$(3B#_i)v4{CC*58U&qg8rPpeUDKZ&aS%
zl;h)ehxNQKj<LftuVs9bE`0nIL*TDbuNDB-LRqQ1nb*MX>ZI3eW{E$by9EQUa^Pb;
z{QzF4JMqWdvg9$T5lUrF6jkh-Xr8V0H(?}9M0a_q&m9FG3~0?wc@7;RBPnRPab%;@
z*NaMfr;~KB1XqEQme?#OiT+nUmo>b9FGw5n`EXO$_Pk9&TOF3x^uyRvov~VZ#f{7i
zUzYTzw1qP)WDKt<tzXeZjc(t8o8V*i76+AY<Fvm~)iiS+*Ff@>&y0mA5dPb1DzY0M
zY9FZv5k>ryY$oy6%@~syyF{f5T{ZT5h`K><Ud=b($3TKMy?R5@TKK~^2uMtFwdhcU
z)p>c<O*I#~w`H<)9QVyV7#!>=Fo<F_OwPADpxP41p=BGJM@4O(k21(kIXA@7OC+;+
z@7KF>7EWMSkqlCX6g@Rp^4aSH-Tt=iKnC-v5J;uG9lwUl>fc*3MY27^9CAzbmymzk
zZQ|e}&b_6k*6xKkoOtwb(zEMGUy<I<xm_^Shm(PR5`f&^d}5*KB?2zFxbnYO0?L_6
z`P!(!;J}IrLnPVyOW(H>b(q;oUlY!XUo;_5=h^%P@hE3ah$d%Q$(PacB+YTh<f18k
zR1&>IBNrp!%T$VEXgi7D+1Uwra>C9iAz1z#7s|b<G1-sqZS_|_A<wB^&r25+FGSJx
z5PG0c3fl9A47>!UBnHWV(HT>@4M5ZTfo)}mnBv4{rv@OhrJUZbub!=S?=`FTqB1}4
z@9BDRApTOJyPaeki`4dbGVi}RRtN;FnvHG0I;i#y&tU2cL%f8`NGV=;8(%wiF1vlV
z^Ok*{X4$0Q57yN^aGB~TOdh4h$_t7|CP)|uxAfO9zd+aT|Dw|W#dUD!O%+wFr$<|X
z2gVWOn}fDt%2UJMcgDRdqjKTT@7Zcb7#FM~7n{D$YEoz%{YlVy;Jzhwzj_>yeRvuy
zFPgU2)I5vRRvic0pXwADL7om*qT9QJyy1;AUq2hz8RJF5Alk<_62cu)A^`;zm?gMG
z3u(OS`sO3)oY*Aj_r!MO7Qu#daEjGa1scvmz+4ts+98@T1cY=>pG~5+qkOfa9dO6K
z9wxmgct*@YRj(cKU|sLg)_41N0p&~|@!|}8_-N+)FwelxTvWZ1lsY#;423+hOhmUC
zZ2t?xi_P*H)1WLatl@&+)mZqJ45s{!l>Af?%q9`J)q(4C!*wuZ8JV`E!*(;5>UNlJ
z6dOmI%NA|)!A_RWeU-?woeLnV!tjbeXCx;}dRNEa=)@Zi55eR0I_?QyLomf88{9t{
zjIA}0eRP_YMene`=*~m1*CM1*H<f%RSgH6wxWy!sEYjQ8ISfr;KlApoJ=$85VSj({
z(T?G2c^xQte_LjG24&|>Z!nwudOL_|${1pO<UOQ}I&kc5(FKxWSlP`J8x}Q<@sQER
z9j{<kIZ_C2+a8DiuO-6QPJIr_+euO&IuSoFPOppv$xK>lzYQYl8$Ql7BDhvcE2~dI
z5Ydg!E>V2;QS)UvYLVAvX!Ig*y=5Tz@yUuJF2lm&7A-uj>EPyTG?ZAHDAH_n7d=7c
zKY423BslN8@%EMJ#f=-GDPd@E(mC8TI$Tnrn;bI($s&mp%VT1h-u@=>spiVa^WTry
zcre_hhYCaU+l<>A@^IkV7noB)@}S^FXN^T>;Hp@aIs1I;c6KCz3_<1fwc5)2KD?Dm
zm0ev@kC3@N-ww!CDB_^sZdqfa8g_CYs&@^Zq_cPp!fEvx&_K4Cj?lbkLlo$<T<cds
zp=FUF&~lqg1RFALImYRlk32*Qr?7xOi2*c@qTm!*Di#;|9-AhHe9WIqP70}M6*jz-
zWMlh$uQNzGXWEk<2Mpz^o0|<O@F2RK9XoXjMVy_2gOwV}XFysM{(BksYlPbuA1|Cm
z<p&HR52cPL1l*)l60ilS>nR7q7hbwOOVc8;^q`mTy-$-bJrU=B-(k2~6n6CN6*>b)
zb*l@YB=8c?l89QL^pv8F0j%k^6<~&g9jGe6gNnyh#v04%yRSbc{(G;==9hT2_A5O-
zJ+sYM|9)CV{<|UIr$v1}3J~vU)@`sI<z-J|v$ru=Gp^##c4bf?*id+EauRI-oORQ4
zTOh<{to$?_26YQQ!D;R22nK9o;DE7Xhi^<sYC+=Sa&1o9U&T-WQS*k_$^tqXd;Nm$
z^*eHIFruM~!g?k#QW8u!|Nd>CY8f!yhHzik8CI}G_O2fM{Xq}2aATkgdH3HhL%Q6L
zcB7AvE@_NjejaGGOF!`W^W{I1w!FO!p!V48VJDE5+Upv&qTG62N#xmdgq&bL>+Vaq
zizJ4*tkI5kzs;Q|cGW0{*0?>uSBQ4kB%R**wzDT7Dg^XQBo~7n<;TazfP_0~neVqK
zn|X3aBTaTIZDQ)VX%#iLItNkwU;i=&78s6RUXp(oXVcB5s*T8=e_|P$i(?R*1&fx8
z3#~Z|Ya`D#7!%ixJY9@HQQ0xhOS#Tzh9;c)L35j-#Q4)oYEvHz5IbgO&xNxzU!gtd
zo08)<?vWqRt_XYR?p&wAX+7Y+%lp0VK1}xQW!BmG`7Q|)sIEZne${0Gx(pg5;AxIs
zt>NM|Zq%Z@Nf3GOfIm0HGE!f1RPqtKen~az2_{8Ly3KfhAQP<#3dguU0PzNbx-CH#
zmfevMTR6vcHAqCzPX7jz9SK`*CiPk)*_g&R#Ui#_+4Rnyh80+q)x)&un)vTeiygIj
z^N3+>jb}+?{h?`C7@t2ES(Bsplil|}x^>o&L!+E-1l_4VvY)R1>L!0UpMn$gucwhE
z`uAKq4RiFMZ;0F73zBh}WBH9X=jM*=7o)uex}sg6jstk4cuZRx^{o;3cFkz3;$uhg
zd+TEuaoWD=g6fSm0#l@z=;zmOvd(L=&GLz;bs2*H956}~7f!@8E2W;zpI+22xNg0~
z#kI<~WzxPE=SwxQ+-k5_^#JxXY&ObZ>Yz2Qr}oA2A{J+UTadSG97vM7_q4ybpDaLS
z;l`r-!g7;p;xK`>RM5p^sJAGe%Nfog&oOW~ytjcu#q<H<79>k#9;hO@%z{B4+@`)y
zYenTUj>jjT_E}BuLy7ZE!><Td%D!8~vj3UCNgboIc{4ECKA2GigtrsX(S56<nxond
zFGZYLg?eeNh7J}B-4cwY-PZ=C6c@l^z;)Q9)u)=qpr0#OffSibGrRj6Xco7>zE6%V
zNJ;;7g;5n1+!e<RAp|>&l5O)}opW|Quo-$l;ay)W{oMS#B+#Dz@If?Ed^dJfRqwb2
zBN9z7o<SC;@=R`M%x2VCPTv$kp6?Ejur_BkyG6jwQ)c={G;_km2*6eQ0N(;1-U~J~
z+nP-}KN$zkkM4q9nnYj)HC+BCBRW5WbLzZ;gM)=LxXW1U4J$wZ0-tHm&nL^+kGb!=
z^}MG4j|J#1vMU-dtwK5aX&OACuTeyhCKwp~qC;#`-DoDZlH1QnLu1|;@0!w{TwHcR
zrbz7gL}87Dq;}BG%*dz=qbi5YRsTWRBW<}sJ@M3z0ugGd%>DFwSy*>*;Y2lNt{)z$
zB3|+G5O<dHVU<}b%O_BD%(e(Ql>W8&6~tDg%M3aU6l%f0<rFjsK*7i+{HjLOrfd?s
zKDn&$VZ^>ENiBA*@N?_#3NRobB>?E*O-LYfu?26V#d4i30CjYu<E4r^IJFC@EhUE|
zUl;AXK>6ff&tfw}+D`l9)4ULbT;pJ!y}gQ6(?&C9>_84$3F(_XvVOGvgGO-uD_hFl
zC4JPuvOy*r^dq0mz9Cq4VSl;8LO3G}P^~O4i`n8d@!xK1Xjt4oNs(zdxkL{J0L_a$
zw%^`sxRF{YNfEsNvTDe+LeOYhQY2DRmGZ5#mY^ZG;(s{SfUoUc=gz%_QQ-M}8AFN^
zHi~VjI?yl6;uIoIFm;z+auC>(u!C^*<q9KY1$ZN_kus59FJ*pOYsjvBw;8FjQlK(-
z@D0}|(u7FEAbB9$i`Kcyu7SdWkg19-1V6;IYI^$^T5hM9`!}*-lp;}wf`K|U5Ofv<
zy3gzF#}zI>rPjIO0(knL72dxqyq9CVm$|>DgRf44udo{NK-Ju{TAvQ=iJ2MC`myT8
zZ99ImpbRP%jRmr?L8sD&+pie>fR2KCF{j2j9UYy%cTyA5Xu}?#^tqJE%@sM>mq_Ki
z8eTky5#%SLpk`~RuXkS1nXc=9ug9~ay+^P9rQkclma10UjOp8C#bUKppZx2ey1J-I
z!4XM8hF!XiTZ*0V2=rl%8FkMOll6HZ$Nu}`FZnZ&l!zXhjnjBfqytvJR(+x{mqh&Q
zmarx_WjKtf_=C}790(V8U^b2i?!YA2JFm|mkTH}z>aSGA>wOK9r!1{q**x9CO=Q&~
zU<pOz$P4Vret(^r`|gP=Ee(?`TGEJxOi5w(^P!|nIY%6tzwWnp5vS5^h;;uiD-G<#
z+g2&I_4DxVNrQ$7w!-++@56_4S`~cxPgp+XO0ioKv<9Qp9j928?I>`gTYUA6@$a|c
z8?{)~WUNp!4}z1E6ExdcS!E#YoD&3ol(XQg{i`;|0yyr6Z5Ui4YxwZ)ED#Dix1))v
zB-CR{{xej$kCP2&qSP*#IPWSp(+=C6E3oqeH{UjH`_+SzqKq#h(WH9y;&$l_5?(ut
zL^k*`30QhpS`%^fY<<3y*L#|LWu3D&1BMvI=}HrcXW#ol=Vy=%s_wUYCEsFZ_eG|1
znQ{CEln1Ju6%TMiLshK}>@<BL=q@BnJ(G|u_zikDnCVhB*|l-0rPxNcrb|nr`&{+e
zB!G@WVtll+%mk6FH^)j##zSl=3X<hmzJ!dbC8v>ci0&*CFzkuafz!Bex=P#ltHR9K
zB+NiTqPThA!KrNW9LR7_@&<e(vM~VK&S1F(6s=`+RRcHG%+7(p{O;WEt6m_pozZcY
zfjGp9rh|q2h~&}Wd!TF$>^Bq8TVqAbm!cnnd6U{Nzczp-7u_o{?Hd#KCxh8~WM@WY
zs;yWn*l<HWF=xAW>C#}o4o(eES074x9Xe(74VN=WJdiy44Qd_6U@*DE2TjDe?1yWg
z#JquWX_a_=zJ`|?Cti0^p_7rB+a3^oJvqt!w~WfxS?BY^hr(zfzC!}gK{I_fqtpBj
zL0qASqy`i?YQthy++<uApCXh|C|73hOCEGxq{Uk0kk7R1w^8};h3`pikow5SFDD#I
z7Tzgv38vMXk0x*kCvpBM`5w_fq<gCq`eI)fZj|+T<VP~CkBB!ZCnX~Mm>rv$U4x})
z;(A9i#oR&I0X0t-H!v%p)*WmfeTG%;-UPDbZ-BOV#j)Mh_lJMG{jWyjf_`}it$QaM
zf#Ka5R^Gk3kKqFQqCkG_>I|zuFLEvj=9oIbItTv@3J&)a2{T~W5ztd)<QV0oksP+a
za>)5$qzK>j0;ueZMYDSdpr8hj>i~rBUsbnv><8$VZ@@mq0m-$BI(hT478b`A<LxHi
z0UhL?71gD{s)^ipz$h6>06opxnwn^)-A=u!6^>&{gCs@ZM_hx!K03b@I+K^MqT%A`
z8+`v_3k=A>?+tF*=WQ|vTlKl<-j%lMld(dP0=&zRR6a9xgkFMpf3%P`VHS%jy{Hjn
z`0R0#ajKWWs<9QF)qu*lK~xIKEe_!rE;9RjsY;ERB`FDgrU6yc{@k~Pu<uAZzxjb+
z8Kl$w=F5D>%MI{!2LLta<#p@MH$Zp=EGrlmVs=qy*5bJiw2A-xdU*BgiOj`J$3;sA
zwl-?rBs~DsK!9lgsH`vkB9s?K?i0we-ss&tFBJstDCPG{<93Go9yYWBT(+YDng9*0
z?3iBxC2Op~&CM-RB@bOa)$biMh0pH>moWK+0q(U>cg8qQL{!g5qf%;-<f`Ib8l5oi
zE`e7Dc}xe^`gi&zZLVA4Yd$K*?Wv3{p!#qfV*hQ&>0J8vS537*Tnhq+OP$vwMLK6B
z$_|fPjpJDq&FgBLmoQ~MIQ{!~3a~7)6m8W7&BbxUhxf@j9}xO6_g7P{GXFPNgfehx
zRHwQK&$@oCPVhlGiy1PpH}SR^|EX1RxXaY>9c=QI`N$9r{lyn+ebrtkv;cfFrn$0i
zYCrhu!e#F28sljv_I;{?j>}x;NnbFXz76mChJBlXlsF27yNH4GM08_wb8~g|K@mj_
zS$uJ}-_{|~$TdM;TVt+n+A-QA%||?@=8D}7ZM#k`e>y`icvQ%s*K_2ZE~Ii$>weuA
z_$cio?w7_G{_9M#{9)^u!t3fLt92*FH?DD9$5p?Hz!4Bpjnt>hv$V$h9@g6M`Hua1
zS(19xCjv<WlY2ic@1UCj9fB-d_X@J^PTVc1a14UjUW+{rA<(AStR0VXPK=1iLwoFU
zC^Ei{x$C*15?L!ur2fvdk+QAyO*eZ3FhZgB(f~;{{CDZ=pa}(2!ndUVvcbGJi5GO$
z5PZ=9{j6_jbF#8pbzKGd>>7lv^d#OJaX$g^{(Mu!H5!0QqPYe@S-&8p0TeCE>)PwS
zAK%#rwV1beN>o@PQHwubIUZ>o?#1-+Rydw0$xqNEh3y^4;22g=!P&QI;|iSPR<jDJ
z+{aY+Rv+f0DHLGwT}XvY1|A0139eZNf}2m8x4#m>?y?~iUPro`81TUbVElxZ-LLiO
z?L?v+S7;YDSm3yWgSGQ&J=SjiY3<I@rBT<7V#y9Z662t{6%a90_a_(xUvQVr#->ej
z(=TMXTdKUp30oBKv))a3{M^pBoNW|k!f~Kl>fA6eIF%7fQagne;Z&$t1pz*ksnMIn
z6}rmW4_M~~yj-y5xW5~5&I{7CG0XVY3svRiP^XV%`}Uo`$7WZ@RewHL&0jsgF6T;;
zz|wT|b}nNDsI}K~bsG2w;zz@Dz(Fu>C;g713diN-)!+TApsR}|#;FtOjpQZ<y-LPq
z<Hn-|nnlA%Dou-k|3}qZ09D<6QNx!GY3Y&@=`H~YX#@nMyFpUAySuwX)JsWAgS2!v
zDBa!Vd+>SR|2N+qXJpjz{_eTw?6ddUYp-Q>lRQ%nWw0vynU;L*RGh(cJmh1C%J%Wp
zCnC%Y<~2H&v~ejL!)|&c24RaUemJ%?eRRRsU&*n%RZb^V<G)hKsVSxgp${2bjS5=s
zwx1{u7_44J<B7y8pM6DF>#PdNp>T^H<{Tn>-Ktq^+rXzEKh1Em%xF|WsZh`-e(}@q
z9Wj(dxSK(KfgSQR2Eu&86LXS$>GNOvZ28Ssn0ug^oA_QxbLN8e{wJ%~zVVBu3vFjz
zIM73JZM7sK=L0sx`StQx@UGmMLy&e>Gv2~0(+{ko6k$}KQX;zt@9ezyw2$0+1%BEk
zAT53S@C8i3JWI}g-=M%vj|Fi_n<_roiTCl@pRK%e0|SxR?CNkcwpp_t?6l!s)C^{(
z1!xfsGTM~^T=}GSE)ge)ZW%ioaLG9g;|0G+<)cLW0^Du7eh_1a2XQeBmPzX-_e`5M
zM(9YtJ;;dmlO|#<yh^n&vY_g>S(6QihiSQ@qC%V2hJoo8DWK=+3G?F;C!%{B9L_u&
z2?sgyPIz@EfMjL0DU?(BulTmT5LxyBK0}zk*PSCka34wN*uU+zq^<FwX~5xpU|bvs
zdLu$=rd?aM$T32X+($ey+Di9s1y*i`A4pw6;ty+f*-a`3H{gd1fqWGhwUVN<fx(u<
zrT`{oJ_lC%Pl2Xhr~ZXt-Z+={er4}@gX73>$>mQ0<sj*09B6gmC76&py5+l8bsRo8
z8g%5A{-%AFHUBb@;8=ke;rqK8ctI_V)Ux!p97EP(d<YvSa-6&$Q9BhwRV5^%iY41#
zM~19&#vlpnEm|JCC1stCFOV<Q`61_QZmG}ka%f37hD$37C+XLF&RzGTX!hmjB#7{X
zvTu2UT|<KX#o;L8sU{&Jgj12k^CIkU{`WvR?B6BSY=)@^0mNJ3`#+c<nbiLqo_ihc
zd*AEZ>`1g*Re8n{|Hv~CE&TQD3~Zd6^~Cq&J~u5#-mH_~Py^~I#EY6cWjltVEL-eV
zFnJqT+=UDmC>Z3F-&=Ow15CT+3>?BlDbi-17QG`N6uL6IKoTuEttB3{c4@$-p|9W8
zHYNaJN}Z@?qcWS6uQYDZJAU+UT+aKbqC4<b3L3<*b%-t0-%ei(W1#s;AKM)Vam$%m
zhI;$;x1w=n3FY43GK^*3RO?Kvs|td`Up=juMeKgiP(koh2pCWEk&$5|*r*b=FFhvZ
zo*n5f@ohCDD+Y{Oic}_a4cA^_fSDsmSlh`qDhzk`MM21HY4+jbRU-b=MbnXw#N?;X
zgfD!?DSVb(;kEH(p!<|VFKc-{j)KV<nBO2jke^trE4rLB&qeT)B6nYpCb9wBqyYH1
z5XQ0{{WhWTgDy;T%Cq46Tt(zYi%Jo8Cz(x>&Guh2tb%^z!%!8*vfIZDTcGD_XU7V6
zJ!5AoUNS{&>r5*!#la-iMZ7sP^*NY<LDijIiA3{$GCJDf_is93+z-V`u-J&0*wiTE
zgBosd5Gs}gh6D~ooCqQ%2t>04I`Lb4Lyw+&ahG&|Fi9Cg&K-#d505LNR~(Cs%pjQu
z`npY)QibuFNwe4n5X#SZH{y5=t{B1eM$(LU*s83EyYQ&U%t??kP^Ix_xBNRh<VAxc
z1#~`_=DwFtIr0;R0<Ie0y{kLdr30`u>IpQ%4PccR>%I2|^dC7O_aO0G-xHb!>9z(?
zO8ZRH%>?*X*pu_v-x%9G=SF(c%sh-4eYQ)NJ&-5RCMLOus*LY5-|YT=3@g}nF0%s3
zX9A7A0Wm$K9dIJFYLcNE%}7WPd(sm4XK5@JyIow(VQYLgy$Y&XYBEyv(Zk;dISpVX
zHH(b68l?r@J`EFXl@$^vT^Xftlg(Sjht1f8x{JvMHRmDWz$jvWBc!{yQM9wRW>QD*
zYOt)GC=$bs<Va^|qJoFe(b!YZ!?>Tb;%^b0CgAO$Ufw;h!Tl@!D{_%&{Qx0v%ja;b
z^?rj@_;$N6_wW7Ik(P-M;BfeEi@kvLdn&f-ZG{1*vL*c29df-bC4B1<%Yz(%q@H35
zh~HzsGKg&@rD8s$RDZlT3Ms1-a!EL?OUsb*6eMXXNnLbXiNS2WtgQe(zZ*m3ZpRRj
zE`V}fthJ24$A8Sbj4U~SD^^ReRus<JJvgnUUCqYiW{;<r*0>i<?x-wVGTJ~rrfg}c
zC7Vyj3i;_5)J~&TX-xfjh?bOKIE+!n{WqWli%;tHJC(B8&z4C)qgRYrrBTKfX(|Th
zE223--kUFmbGLl^piXP3YOptXpjRkU#vJA$*is<dF{7I$w{d#X+;Jx3$F#VsrWIM0
z($j_e+xfx({us>OgZQ9-JDxh6_4+Ir6jr90xA&k1rNs7rsx%|puAd#ff$04B^vC$c
zUE0;7*o)iIC$x&!WD@iNzb*r(v9i+A?MH@-Tf*+&EnlTEd6leK2rf^bUH(FFy$M)&
zeZ(rX^$Ka|@xspMEHjlwSL^X7O27-MkuxxwLGEtx*_8=uIJ}Cct`s9v4%41Aj7wU=
z^b<`KCeJOd)Yc9<b>Q`V*;%<7$%q+<9tDLBAe>SGMPdPNziX;hdxq+$UoPqusZDGv
zoLW}No_!?SBbB=EN-pOX>&+Ql_j)}+i6Po$io!1r?}vZkSUYaJ^-=wmca#Hd^tQ8X
zc9ch%OM(;oq0IQ_QZmL-(EAvWc>FKMDv(EUAOC$y;2TD~fs~j|!|7#x+ru!~BgiNo
zzxeEa!D#ck0%m;u?|n||efH{ou3UYuMjrP^0Kx=_ukKrm;Ie((w0qn{CvgEmhVJv^
zlV$CZ&s7uf1~WTC5dTbH+oXf%bJVC3xnWD#jUyqLYn0$I;dQsL(h8c$fcXP@R~(Nh
z0Zo?m3$a4C+fMu-`QVNi{^ROBz$5=bjxo6MCo)7@G$<Y?Te)|{dolb8s|5p91$35-
zvg|T6GSgh>CaaA2l2}2L{&`8*tjcmsc@zcTvVLd;$(b%#8aVDb8b5nQG3j7m0PGKe
z0bWxnakY-<_kA=Z2)kM3FL(_<#t*y(48oFmNsTBj@M#^?2K{SOWtW&*^Z!NNhf}bR
zLf?Fh0P>lu!(^qk^)@%rE7#GzFMRKx=U#WIx7|(wk7dF0Q8D4aXTpE)+Wy|<|4_h!
zzoLp+b8S7#*4hJJsf~0UMK6bC8{!(_f%vl;iOf>kt+gc!zQWF4Dho%o<6&PswcRNa
z@}r$tmrq+RO?WMjzLOc7Wrid?HtwR=b>b%naRo^&68k3gtDdz=WvJlsPptYk1##lI
zVur*Yl{M6oV$0YZ(*0aS0;1|RWz`|SBar80NYu_#kk%UU{mKZ9e{soUTD3|lCDDYZ
zHast6*ONRAiV&%<YCd`CW<SoQV-bZt7HQ-5r@M9m*mYjhW)DBbS+|lWOefZBow}l+
zVjoHPx&zbaIIyDE4g6K)b>)k@O3-~xHA9Ak867xuuy2rw;2JI+8Zsi`87BBuFW)T<
zq}EPnD|}h9ZJX=Fd^|GR1fT|Zjaf``MKgN`qF?t#AVA8TBDK;-1i2{2C(#3c1Y<qd
zMxaY}#uXc%&MC8y%1$7l_oE2c2%Zl#QXG^6V+@^$T(nFn9dH35;=o2SyieyxIq=e%
z;L?q;0Yd;x0}mzYxE2t22z(Tq5}~o>T}#cBrF^+OhVTF&v+P{}F2qXI^QVCpcspiH
zNiY;3dR#2h<=S?)1kB~ji4Uqjf{cm{2q=nA{^H-2ZcerAQT3PoknpzNcVji!r|kvo
z^=~Agi32>6<R`LLd@-0@O7dehM0I4=W*PHRYP90YeuXfPMMCJy<Dqpule0a68)4rl
zkBGB5d(h}))d|_VFiLTZL?9$E$dP<o5Zrtt7!982rq=_pVc0L9gaHg8@5SXOeuR*G
zptgd?ISoi2c6V<1d)$fnN`_-8jo26qQ1-w^F`dhFVtL~H{w{m@M3I3PmIKv%ufX!j
zke$!OWOCB87q8NaS0yfxil|vOeU4DYQHqK9tg^#na*9eX_Nzy7_?>r$$UTpJ<HNE5
zmfO^{Vubw?b@Q8RV=qaOiJT`gd>CUSb&(Qo7&Z1eg>upFWQhU%M`2IbOPXH$rPxPL
z1+(e#sR6kwU@{&Ifr+2rx00ImxnAPE`+FIvZ^ySPDczVrhXWBsOVRYKVCEcYz(f!D
zZ4_Q5ZA7>E>RQAFfDJQfU-q=q-7ySQu%i_RlZe;--}?XTM4(bu6OUXLK~^*oy_M!+
zfZ(?ur|!+*5RUR*5Hyv00tNWf8t#0N5k<CYf9#1!yJ&U^B^A}=!}l*`5@`AbPS(D@
z&83k!#dwlD-)nnh)Rr<eeRW5%IcTqExe_w*{AB?X90g_G-fH)^p6!;lA3xk?kaBdS
zfQv%)T;8h%?bff~87z`}<wN@JhE7a;%zYopGZrfvR-ltS%9yI>YN`bUA?$t9Xo;eB
zQ=AYLW^K{Ty~ZFMY08S;S#GQ@i#!8f*<HH7zfO>;{CKC<o<O$L_vQBy4+)>8_Wvx<
zQK|CGG1@Zeaf7)T;l+O01R9xy^?`9@FYxsGz+B^LJTj>7`It)?6=c;?R8zqnh6kCP
zT?7y3^RlGp1t<wsCKzuT&(6-w33Bb<KqT-YT3*6(HxS2RfB!Wd&xTHoJFiW~MJyvD
z9*zbBYf8&FPSVSOzx(<_w5)frvqB+rEQxOArKDzf$M;>!es6A4-1E=zXUneIZRhGx
zXp>Ob*^N$fBb!Mb#GlLZINDBLphnCL;OSI9vk)Qwo|a4+MhHB#_RR*XZ^M%9dsR60
ztf}%fCIY%J?B;W_03_@*>^CaF*LWs0OGg0e;p`l&imjQRJ_)H|94EHg!mxyBaZlnK
zsKUz8sA;H@<kQG@oeV9PvKyiIb@OM4Mq$Cf%~YB*^o1Kiwnocrjx63{_|CW2O6b30
z%d6dRI`+YaK%OzoM(3RhIzq{v7bC}d+K;6gacy1~Nb{8)bov$83Noi+vi}});r0m|
zeIm*OV6*jO%~3Kk6|o08d52hX6{$6lj;RfJ-&+1LqxFaqm#Rufbz|s5Qg{tMM4LNN
zC_xH7Ra7^KBX5<No{^qN3Eu^(=m7Ie5k@4W0A)M<x8k`O7Vf9?p{i1XTy+WSTUEY+
zAMjrfb`|PXx?qw$FVouPb*AJ?NL9Gq?6U7xXAROyp&?jpkNHpQNORLs1bN!4HrQi8
zQ6S5)?Pkc%1ny-*xkMBe40cvw71fqOR3>>bgMR-Ew|wUyak_?TFmpSsA;bjXZR6LZ
za7LVkPje+!*i0m2R2GS%M1F{p_(?PvymDU`zxPN^CdLoGMo=lU%_gP~aY;j;Bm8~Z
z6a8jOXQ9qdFRRpTwGur!UA4Jw5APK+Jgq$p4mWXSm;PdqQJU?7sVW8WkNPU_f6pmg
zg!?;@M&^;<^=SFYU#o#Z#b`x#28P1e5KR*a3o~ST{%YCtNcY7@hXde+H5ANhL81Ff
zlJ028Z;dB3KssL$lTU5LlqbX{^T*pg8m+31K}+jr=!l9M`A{)hcU82(A}KM`%|O}d
z0!PR%rQtzURZXk<lhfbBK;GYiClg5ia}8P40NE`rbag>*M{87scFI?lUA63519rMJ
zSl`YHIEbUiVXvPS)m>fL?>$)Cl7|H#FaN~*GID`~;HS>lcF93Xxjn1*k2nAP0o~`L
zYr4celj^ywtgKSC5~|GlJ<&PKR|wD;Ypy~y;%9yk2MQ92;D$b%DK2y=65?Wiif3%v
zup$(3{nF9vg4<4>PIh)2=~>y?x-GL>_CyTkoLgBAi#_iubd{pMOweP4L6!~!tha8b
zp#*Tt3uKvBLOq07`M)~Sn=wsa`D05d!a|hoqkp*kbvpv;P)CPMv`+!-y)No8_}!P=
z>@oK5b?o2UiocfIVNr8<x#~t#zcB3%kB*-5jk6}9o^@i)GBtpu(JT1Yk6_cLGR-T<
zwV~%cgwbDx1eH>7sJB#0@EB+ZX<3S>&Jt4Vh7k5K5V4_^6b^Tl9-2P;?l=MZ24MVO
zm_$&(yYW~9;S)8q0LfKSg1y!E@8d$}CKS~#ys5loPfJx@DDK4lo38p<@w#PM@w0tw
zbnIvDqJ&GIfcP0}#OhLZ-@pC*?cKi<=i5nm2C~T`APw;dE}O<BCJ#`H0_lZ^CfB3Z
zy~20p@q}yr{U{2)uDmOU3ztd)bF=<L<0cFB8MRg@8>9F|<pdL*?t5rVZ`Qu3S%)Z@
z^s~_@#-oRSUGP9a!M4UCh-k6)_5J&B1%`=0XBtd7f8uY^sF=~6!3JiNpfACn?PEIL
z<ah{n(C&mysrwv~Mu{d2ZZ>=sOl4<rDF%}Op14RMG{A19)!WVOx?I8d-$ws0uK7lX
zkpt<m<3D1MZ=5ct!kR3pltJDL2MhS^*<K3@gF6m5k}R0W{(W=J-{Ze6vSt>$FTcUq
zx0+xZbX(UYweza6M$(CqEMz&lZAHSep|dps%qpN}#?`aGJn-7p>*;mBh51pCT-f`z
zCOUIIRZH#mW&rNe=C%56nv9XENwOmHJj{=a-@k!E^2&<le|N;fe@`b6H|}{VJZD?a
z_pqclcJRpg<@mb>f0x=pw<VKiSR)<Am%_1D$HTvGZjKaPwjQHI;E5HL*29i*nIK0G
z<xT#nwv3?dz7*Z!yLRWITd!9khCHZ~vH@Cc6Z505Q%yC6(P*+A5WF97s0u%6T_#9r
zJ9U0U&}au6Z>7<B&)1{y>8qCUVWV$<3bXxJbU~2z)yR}1gkH>F-D*`N<(lt&cFur4
z<JF4q-@;fSj_Fw<`3F5@QB~u8qe^B1<K!QfoBLOswR#H*_0<BMz*MGQpz#|N%29pw
z2u4v$rcm1p<>7w+`R+8l)avaCm|i?QJ?$EcfB^aOw@SJ+Ohu?W+XpIg2QYa16>6#e
z>k;XV>C-bM++&WbJ3Rg173%^wgN@e3i-|KfdYykV-AjA=#9qY;F#DDAPP=tZ`Ipc<
zI(>Sz;lQ(Kbid9f@DRXT3z4G7&Bv!zhvmgSd))uy0=U)^rZtrBZF#Gt_8SyUU>n{4
zD08pI__I?!y>zHrS^Cp$WEQU*=(5RvRw?9L<}Gm#X@x?8%W!8-*}tWF%=#BT6V^Ss
z2+{DR{(f(~J<31P_jSQ@AbsdGV8g<O+)j%;C@=-AYkv@cCvO-V$^;Em3;yiGp5@Hq
z8=%eHa+Ny5iv}mLwZP*x@9N_shFCZwKorw3=i}h4Fp`TIDz=ryjtH$J?)?)KAQfd2
zMHsonbw_9rw>kLlOL9)cxA_-dt}N{AV$)f@E5i>N-|JpG-~mJGPkc4gIN05G*LrH>
ziWeE(;L(8=Kw)8_t_Sc(1q`r_#FD8qHXbQsN3M0TiI@V`?*W<m$}25%;Yq5bF~WK_
zfV~V!GDV?tMTgWXoV_je%wATNU%^(|B}{!<ff@OKF-_+5P1W>rqw~Ai$3OO*K4X}?
z>?MUarDTu7dxa}DUn2KGIuDwXZVfv45*_jKf6)`y<g8@ALZQ6D+mNi>+)ykI21ZU(
zLddcwop@*gHNV|~<>RG-k*1-#3TB$Z7tGMlnmTV+7Z$!kb@eDi#w?OjTL15-Z_Nbv
zmrqh-Ik4aWae}=^xA$nrDMO7(|NX>HQdkbBeppuSqb*rA#XVI?H#dtF3;zK3-_nPM
z+RH!Jo$ph8liny@b?bN>Mr-2<XWrlUM3dMZxzuXuW|c<%SUE?>CNfrW-hk6#(Mp(}
z<cUM}dGlPataD4^0x-Ya1Ro(K?}zoe#&S$v&nm8@A7nJ$Zh00057Y-gbGm;U*X||4
z)8+Ld7w8EA)7&g!Z5Rr+yoj6IVGlmi<u+g8i<+hoFf;&$b-aXp%Vjf%B9HrGwYBH`
z2uJPNUQ|3Dcl=HjKkwL1eWCxLR7J-E+m#btFHG|H=}DW&9Rw(Y!2jHOHeY*C%o;)j
zQ7ucGuDJX8nkw!pqYdMj2K(B`^zJ|J37?Rg!tU<OB_Yz3n@_;|#uJFiihOz6JTeJ(
z%>O-R`i8>|NJJwO<@?v77!d=1f6f-x|HA`>-fkc7j@tH&<y!sO&G<+;&KL!Ihb(p?
zD-0?t7b=8X@7Itz^-0OewX9s%)*%LedJe(W*R*>gz}^EIfv&m){2gk{TRtTbbi{_i
zg@~!X50D==5Kv?+`QnT%HMyEs&vh7$0hd<(EwHjC9PXY4K2HxuGb8nHiwSeE>bDB|
z))8l<7mip((Uam0uSafe{fGv7NySU94rSn`k0tO$>(rBJJ55RmsX{U+d-yMlZMlL1
z#&l-iL(f1e>wBTsu~0xrd})dWd4=258gjAdN(X0fa>MU(+M+r10%M@w4jw{?hN!>d
z```P2`0xE`ft+B2PDF@gigpVPRmgziMln3ym$B~tsmDhSgzLSJGf-XY`yTV|U#}u#
zfq@ft%Ny;-lFabIEl1eY=K7z?RXt8qhx8%#S=3Ir(=<XqMU%Zp<ZbFoLREd-+|n!u
z{%z=3_5a?D7)YJ2#R}VI6qnugOq<|B*$m>s-A%v1<%sBg=~^eg<@qq7+Q!fK7jNM}
zO_h@cmHZC+aV(tU&Y}KvDK6UG80o>l62HUz%c~~!H>4>*g+-q}@ZXW`kA3&=EoML(
zPYG|v5)lBVfS*hgr_O9%!0L=nL%$;;=4qng8aZz^z)(>6eq8Bqsw_e49Ybz4#L9td
zo7)_jWsZGC81ijUu4Dk;d5{<%DcAvW(b>6wd9Z+)weWzNY}(M)mb*LtuW*a~FYlQd
z23mMKJ3D68C(FHrFe<9ug98&O20?ckB)c5J3DM$AWx*6*?LrveH8>vX`Ub3L0%{xP
zrO(NisTW2&ZB=MFN!E$p->)LuW}khUF%?mT@cruDWFskSsX;{$G4aR;<JUl0)W<HD
z8XUJIC`;-<w^3!LL9*$b1y_c`mv39r3HR`ypVD%N=&-&oxjy{4BdmHuDC_l*__w<Q
zpUGsbtHTsp48N#w={L)Xif_x6_8;DiS)3mViJorZN>tX@U->_-77nb0wj2%_xn1^@
zonnTx%`PkqoY~P){H?2Ef^oCKlcf+VFZfo4N|h(tvU|_Ej3Aw`jx_DO)ZN`}SsTI5
zzXc9EFr#jjhrL<`7<X@E_v)N#?9A29b%&C(y}doirBtS<WPB|DCA$rhdMzHcIxMXE
z%wjfZXw^^#e}q;$Sn=dwRR6d-HGz_4*th8v&s5wX-mD*s&z)WFE^Uq;MovoJvk2o*
zTLw|tbAhPl1wu`$_Z{mY<v`V+Pj3FsuQCJlS4t`4{PCh~bjTKofK<lOjpI|n65a=-
z$^pOyrtKl68941r{R4s{zL(XxWaQ+JH#3i$ylpq@8<rCjwD{!s6rrPSyAI1eginJ)
zTzd>MKFa?+HH%SHYHBJ0Yihn>Tv)_8s+}rw2-gP|IB6`+UAc0^ZDvRu1ASHB9k)6e
zwyvIDF~j)`KBq8n%v)Uruw0#uE9R!VQ09=!#a7#pLQHHd;3|4Ih8@3FMSG^qYQwm<
zlWhsI#1Y)e_h4}^cfRDdx&dCYP_C<~*dobyhw5X5TFQI&pidwjGh4&@2}ozQ^-ZwA
z;mZiHc0D<JTM3`RLX_O+oOqFzj&k*4dMgf>TkeL1v=eBAfBd`C%Ofv5%AoLco*&T#
zjX#J2)N+z&gScU4cy~&qY2>dTBR00jHdIlK$YtT+lFTP!eF1Q)!7GfthcKGGC#`LF
z!&I~N@8jJdxZ(+35$Nw<4ugVc2_#xgLd!HVtz`!;O*$+Kb*fWL11cBy_xA;_+qMT7
z?<6q$qw||x=QzxAy?MxEOQ5jdby#xWc+yf4yxLnbD=TI3;7xtQuCG(WSUG=MlhS1B
z>+bG;cX?1lC?w;<|9{uN`D*LcJ5>bw@UaUlyI)!K&ykBLC{77>yswG^l4>iZ*A9gl
z{zh&;_872T-;DUSYB13z0s*$3v;w-~iH}-XnKVbTQ71qNwn0ZoXh|fQOT;;AuTitY
z*vE7zHRC;2BidH>sJr9YY5^1qA~2vN4kXGCPxX-!S7qC3YkK~njT^H#NPW~n-rDo2
z)~f)Di!@Z?Nn1AtY;=H)n7VaSpEY*YRtRm1A)KB+x`+mKUBrJ2|I93h9CJiZN2Ygj
z^V&h+lMyUE{4PpRh2S$7rjIn^lahyD0@48`QtL2>W~K{xzwl-btyN3*CwRPUvVACs
z5wi+qO8$j&|GD(tJX^`GWv%iQn9tG|T2V1uQM&Pfn^KTAEFfqX7=YkbT>aJvS>#3c
zxx0=^r*kPX)Zw=}u;6kS25#phytZCjJ3tH-=>1%HwA_^&ZuXlvto1~<Y4~x<BpiwV
z7e#?4`ydlBjPl>9n>bXFFbD^{7xtgFqzxhpd37aleF=XDw&`=$<k__pV&kmDA8U@a
zZb$9j3VioTaW`T*`K;umN@tI3*rMloM0UzLE&#z2A?ht`X3;f(#g<5u)G4`{WLoHB
zwc;gKKQ3u}9{k!)I<Ir1_|rLC(1phXa63Kv6z~8PA}{yTTW`xKRY+CFBC^}M9BzEU
zrOJ9C0%D=ae^1)|iO*^H0QR;0{cf%W3`z+sj~~KMJ4sc&zmd@<lf-~weicaW3iAFH
zR%|dI(}cM1o`V_MS$}qHdw&n?bb&emK_qh~8pGLg_JB$|WL`SbLUQbd@|!`gcZ+`x
zDD92>(iiGl_%u`RKO@G;6`Mp9KZAWikIZh><I}a2q;6xP#PE9l&|&#&Ks5KXBH0je
z^6cu^&E_A&2f(r7RXr3pX<9n`WzN49(wSfDD}is3@uVMkds^S?{-%29@SU{CR;!@r
z#ln~N&=)>w^Ld~``7dkP3kU<I=nWc7_!=SQua5GX2E_5A<=|n%m0%Be9W-$WgJ$54
zOU)L?zmr5?g4nyf(JKx1o2R{xkB^HBzOk2ABh2w{3t;|gyT~UfNJI6{aK^IM!>e(}
zW92f1J|c`=#l9&824Yso&Siw(A@9c!OXe+vT%qz6hm91&I0{0jPt2f>oabCKkT!D1
zM90_{Pr5mzR7amy=<s}yVVz{;jSlwOs8jNZO_TMk$y%V4c?CHvxRo_ibai!sA1_1D
z@uhkCkQw-+6^F3L^K%vbhf5cw5$m%}(Gc<m;`W_^l`Nnh2L`$YUY~(_=>7k_9>6RR
z&<pj|{|gi%ouUj}9M@fEJg4WeIwT+>p#_<5J>g(EMmoveKTSVO2tQ2xZ3KxdjZ9Uw
zc9M^?^To9jW8I|ni}qKkWT9nYH8#NdYbh}?5uE7l(&(FxD!Y{B=Uw?ECBjarcy>Je
zi)l=faPdM~?B2xzOD~*)4~FvBJVS3l(TNxIysI8FFY!RoWG@b3EUQon#Zuh)U`Pou
zp!97WGMv(RAKW0V5%w?R`cmt#@c>#&Mv>_~XXHP?H|=CcP0rt1A0@V2Fj#(}4qO}n
zjVc3T>9IYLeI6}!MVt#h4|8zZxpxi?I^Z4?n5ub~aHRU*t{y1UuD@;dO%c|%uP8IF
z6t|A5MEFP<NXhH?JVGrpZ*D8qqe$llSZIv=y=j}k=>jQb+mfx({aQ6olGLxmv(V7h
zpM}-cp?;3Gz#os_>aBg>c&bH`08E*uCqA0e8#ZQahF$_fr-$-LWOFDF4$5g5{oash
z-&rLTU&8*Ad5zmLF4w$#2@a}~*yLhlG;!J_Y)U`?hZ>c2pyw0@n*T?23Is^NsXO88
z41zis3hNiSdh)cHV1=(sV>ZzLp!tPO+8o?@-8p!B)_~gIR8xUA5fl)ww_10++C3|v
z2%!~IiU<&~K6)N|UKq+HafO5<rT;$rF!<)9+0Xj#SLbB8I3N)eq{~E@h=Gsaua?`q
zJjjtMSc`NFV`7gUcGcTtQ{_Q4S_zMgjO_iAsj=wB*aGKQ6@9aRvZEPwvLgZaVRkbq
zFW-vn8y(rYAz4*0E1oWO7D>aOI)X766*h+sdGwUhgy9IE38S-BuLd10pp_*mMg{;d
zI0|AI_)2(WMI<CDs;`HS`FV>a%ybY%Y%d}7)@U9L7aDjh<aThH&MlV~T9!*JpXGhb
z*r-FYu#&W|B&;th7yXh62!^0ARYBpFDX;$T7AORO5?G0`?W*!U!b0|9C=|pb;%K8N
z&|fGVqYDxd2N)b6{j(7^?};gZ(=1TQc!^jQUtRGYNj;HquK1%y^Vd@1Z!cGZ3|}N+
zOVzPP^U^4NP4ObzX)ljuh_FrQ{^XbyDII0MbgiaK5=6Nbi5O(xvHtY}r^Zo*js}WZ
zfQ?A;9s7G2EGi+4czC{2Iz7kw(7I=U_>$>E*r*U6ah=V=h0mOOFw*GNLmk1(f%5%u
z4+aC32(j}$;WzpkcjrJQ<o@=x{V=u?BmT;0A1>_fB%yI@XT%kNF$(|tnBPDVNgfOH
zb$8(%YBW1gN(8T?!%=WVA8moJ47hu`jg(xQ4^pS+3+P%Kg|cj-$c*aGyFc$w<;*WL
z@<r%fblWS%TI;8Yu$SL?tz<+MR38McwLqZ&t^LAUQMXJKvtWR$mXzjH9sYbv%9J+;
zJv#p^F}g&NZg*I*0##X62|>CKkvrz))@(R^ULM6KRH|e&pY6AjxS7wM*Xi=kTJy-q
zn&Q3`gNEV2{|sp!(ZLT2xLWuTvmU~>aNyFS=j+Xl&lxLOIK|j_eB*z&%W+-ZirekP
zv2*9sqIczuNilK;a0hj~Mv$wq%KnuCMS+g%Hwr~?(_o6I>NmUDySv|9I}Nq&dDJ75
z)sSG`7SJu{Y!~4eM-42O7M-uFct8v~v4XQMr$#SdKYQ*V1;ewoIUNLsR42G{TeBF6
zihY(cB}hw+u#;h!`&_Fuk%ZHOo?vT$F|V%|?KWZ5UFKl7u!&Hh7QhlF42sjfEI@l}
z5t#AKind&ROclwA(cGd|Yf9IEA*mY1HN7rkxw<US+K5(3(%r&C_^M1@zxu1b$((uH
z<3&ZAj}OqHpWgHJy4kHq<^RMidg4yfaK@IG`4?;hK#6~)>iuE+5nPtwn*{fXw7!YV
zsjkcudiqq&${g=bm4Jd>$~+nuN%q|uNmX!I`7XHyaP)Ww8SNuZn<F}S)8@@BKbRsd
z-b_qYTZ%v>*87<ZBb3)}`N{SXWqaO*q}oy6rpWDVT&-&B;CR^p=v>2)l99dM$`Uwv
zHLzS6I~kbV7dKo*9PzWS>vAs+n;wS9*rbj~igoebbYzLcD<*U2=TwM`%d5{|++X1R
zS|1SHw-PvVL}LBkLd1a8?ri}wWl#ppko-(Gbq801dHaBR+nck%fItSVO4!jMUy6bi
zK@WtgRR(4Zm5aoZoCis95QHZp!KZBdFF1kE3J~v=E1<(4JF=@mPOmx3Mjq6<tYb*k
zRniC(xAmHH&gb#>*WJb#HEpHOvoP=wD237ZIHFM}Z6;b|M1=n@H^Co{TQN{r#pn=j
zM2w%WJrEEGVFD?BJ<Dy=s;{po2V=ZW{5BbzThPBNU$!)tUDEO53j6#*1B1qcvP{W1
zVU9NJO-#np8TC`ri9q8a#aTDkZbwqje9^{JIChE$%?p>RTu!)dDcgZ0i3FNN2<c-;
zkCZ3W)dgc;U^J&9>+?Tqf<o^aNC5F*+6V6vQT%Sa%CkaOA?F@MUR@%K+hcP(Vg?-P
z`}n~xWlnkj^`)M^=bLZZEUA#L=p-gcza;5iR0ff*jRjVeVVKh%8naC9R<+<rb;HV*
zb?XkNavVbtgti}zgm(BBl#pIPyP}E-3{fuwd--p?aY77SSRx`Fl+c|inC&iDAX@3F
zQg62c=z}&3t^92&2Ofr4S3g^{ILZr_EsoG2Dm`|A5<;&D@j=g@*VNl}0FvjP%j{K&
zy%&stOI2Hm91&%@y{hTf!cQS4O#Z_n0^9}<4>vP#f_?>bhf7UgpiRpc!>?5zI$t~<
zUptW?_1cZ!#U#Xg{XN;~ws1;^^-A!1^)L5$+RZ+@jpd$Rjbp1lTbPP;7*b9$m5xKi
zG`IzOOPvdzfgJ#3x>9)mKAh!>!CZH`&Su70$n7O{o^+3LR6N3d;{cLW;GA{OU{4xI
zxDV#A_$zDI{fMPQEciA@71AlGsx+7Yi=>cg0EkmL@jvte&fp=SV{{i#7a+sYekl_9
zGWUZ^?ANRvgLwd}b?sl5F+Qqab8uSkmOD2PgG8XR40#kfQhR984H#@_L}U1U1(~0$
zfgIQ<m;8(~G-JzMGsP~Ys$@4a<4kuZ7%PbLvz>)0v=|=1l}9&7X*9xk|3Ts4qY67y
z1ys~XQLmke#T@k2;u4=`UfCTjwfXw;CJ1ILyjac>=GR3ZAPMXMx7(DZs;g3%<gDU3
zdmNKcldFpA)biLEwja<R*wV?{HvUedgp!ARIfhZ=N-D*}k1Bd@Iib&$3Lz&g14h&!
za<z1JcDg^H(ta3)qEJM=dsZd1LX84#g}P0wKMuTHiDr-Kl9~%av!2|Hp_cIr!FtKy
zY-F^LS>=A9nIstuB~H-;xX@*+@BLbN&V7udEdZQ%2iu5za^+}MRbe2$VjjNUvU6R8
z5;WZD?-JVnLuj6k><Y6g@Y~a2!nav~?%HbH9UqUru3r!lpRWVFz3+%8{>JjFC`Bfd
z`0SZjnuR9-<FniJ2RX-_bulznK|h`Z8q41EE5!dK#xwzC_H7|Zk~#*V0BO-Lt9A6$
zZ2lTG(sxum#8`u8{2D5qj?x!mL_0@rbhYgu_J^Sd%(gFIJ)UTm*{Zzuqx*!I_+i$e
z&CAV^)VQne?=SO_v&Hq|quV70?_mE*ONZ+o2P@TruK|q^TJ9+KqtV{*9LN3Xz2ox&
z>|p~32+eZW)b;s!fuU7)Rd9e)Wa7;oFO-maedHdEiu22P4oHUn-N8?Bx$V983NS}5
z+G~tV<n~8q(tsgQKhkXhmxy~#o7as)trpDj@=?Q~rSs47StnQ#RTM&eW>>}lp&zgB
zWnIsK8@m}TKfoB?^G4f4t$Ty1d6r`)*P(6=tqiQJU@)SzmR*wj=If$e5lPU+fsyw-
zx&S+bP`17A*1y|L!;Kdfl8BT@!ttU_1I*6?APcE|ZQ`XpOrnzY*WAQwB&kl&&jX&3
ztM_R6HgHB!5MbbGUdq{8i7SW(p_6{|?T9)&V=#=MEvA8hvrgB{h|IA(^UchgOcLT@
zotvAV7qcI}<}!<08%AoT5J2+At}hBx2g3Jig0Gi}&5V<>8uP!ywO0oIT9Cg6p-cN;
z@A_$3fWh7rXs>5^IhgS=x+U57e}|6mZ0=W^uK2zcf6oet3B$NqwLTM$Gr`GGo(_~@
zg>0t>vy;>Wz-+s~&GWCg)7j<_P%O+`xi9{dl>D5VC4<W0(X7m^ef?x-%EZCm%?(+k
zV^HVd#X!jA5bc)p7aj(7qyCP#n9$C&7r)QC*V%hSRLl1OC=FP{9&ChsuA42rdnbp@
zOjiIE3hm4fTWoCfaJsDOu+Z#X8t8>nC!Qam`aR;^laDAu9H6YYfD&7skv8MqfNpj$
zWM4Tn>-ndoRim59>McHRld?-sg<4su^N+cL(*Y(c7judr#ehA@OOCd3XV>*XL2~Op
zwFLPexx#$JfYkkBRVs%@80LQw!8bJLji-x`5BVRNhAC%8D>2$FB~fFnT%k8tFOA%3
zY~iu)<ZDz#er%(@t-w{qLLRWNNg>(>rmIf`XV8UA{`Q-_hiRZo{?>Z_ss$c~*lf5e
zDt!vg@5ZGGIBnBH-oituh?kx0wYj!%1-?cgi>1wF`hP;qvsqZ`@`2!;gPI)J5gmbD
z%IbSF&{%%gYQ8BrawfP!Cb@F8d>7Hwnwrn(siAC9uXKo*d?{OxRF}fkGkZlW*m>Og
z5ph2-jW#Z9vJan9K{u1+BA$QU=6R3ELY+j8qjll$ssSKm|AH7(L`F<y83%*ZCUCBY
ziNW2_N@MaU_1VPGN*gy>Y%dUh2z~hTs(+>Ie@E#>Xz|CCfsOJ3t(>jI{vxIUyF~|~
zTwg$8jwC1>lPd(nVz?7MhG>&Y>eu92Rr7yrz4?L<pwW!;tozd)&-)gbz7l=vE88U9
zDv?Ki1z>Q{DFwEcLnH^k8fshgr=CGd=HUo2b#!MWlt5>SgIy8~6vV8iaM5W7B&-A+
zR88d7osB6CGD{l1TTQhey=YzXfPKzaJ+JI`+5d6I8T7SZL`&M46&=Y=gCSb=3O!xx
z0F$-wM3hzN4kYT`I~aMcBQo5IX&Xb+C0PP*(VDG*&+Xy_x<q)eI1-EsV_K5WqZq=O
z)ttp9lhX0xd6Zum4VS`Kz6>soMWdiY66@Kec?M-DfHZF7M=ve_iJ+%=&iereoGg-m
z@blBj(s5<)0fjc$*w^5UbO_uLaS}-6Lx&rnP+;<=gsVG~4af^4o?OAv`cV(W&joai
zCoRyZ&|I+E7{|@HG=jYK+7YJv2J<X53o=Tv6Xg7-B<H)w)6BtwflIe3-_3Z?qa_Ar
zAcI<?3-V(gF+@&9!l<We@5d7n$?fm<D#JSG0_*g`d`ad26NA;PhWKb+iPaYptEQ>C
zPbyf1e$>Cd4t{Io(|rEs0Ze;V?%~zzu)J4LFpBc!*W_wJN*|+OsLT-Mrh>$0<EGn;
zR5RTjy8!rl%%-zT8s3~no@=DZP?6Sej*Y@HEDb9hmja8CNHv;W8d-^ut!eIV)pLCI
znJJB2fvnzk4Ri3UQmGuTLq~)4@<b=oyN$hsb%7+1YCNS<G7e=2YSn)a`-%E`tn~q*
zd|`lK>zTEp$@Dy0QTxrGr4rELt+N@)Et8|`(rzXrFJwRX{`uvcUT|2LUVY35RC!Tv
zf*KUspExyKN)%$(jYN)ivkbF*;{zjgUb*@}X#rs7kc9)DAT00wqJ3B)I|(WH6nS3?
z-N8=VjP{O>4v!X}u!FS;0$fk*)&x`>&3TTkVs+Klgnkv)EIUVHWJ13U3wlBZM6=i+
z03nl;>MS<9I|ASoXe9T~@nm!$PBmZcM-(5*?uG<Q+vi<gEW&dK*OD4%)vIiV<dHD5
zcvSC<Q9nmPV-pQ0I}(CuNA!q5u;7qksT1M@+Oe>ey8yc+L`+f5V5fSboK0>}5HnCr
zGnz)h0r<fn-2u&w+<^a`KdXb&)2ec-4Z)O9RM_^VmsqBmh1HU$1$1W|SIYWXrNI7^
zV;|$Q6w<bB!aat>z^VwDfRac*gzW*RQv3X{hQ!H8#ZV@-$g?;UU1H3V2}YS?Pu@38
zzC6bc0{VMqnspjXEHio?&&x;Liew=$sL4VR(V3bZO*poL_fI`SubV2Hg;(afWavi1
z<b3U>nr1fjwzpsBBpo;7(q|>v-kPfMI%G~@i70g9102K|K&k+r6&70Rx)-sYn>mBv
zt(UEnIWMwExxLiEDxi~I^8j<;5}YDJ^w*`fU&Ry_1<=toR5cKO=O1vqgA@nfwl<A-
z9PUdf#c{4*$t{J4=h4Bof0x`ChsUa;gj2#r;Nr->m}<8r9P|8(;bWYze)M0HO=eYf
z^!ER80YL6k>+%l~dydrGbgnS&__Y$bav^XOTAt3wdKQ+)@MUDA{~PLpTs-CZvcu))
zC6vH+NotL`x7}P@>e=2?7}M-mZ{Z0OvP{Zf!+iJo&EIu;Vd?%!5)M)_WyzmiKC?%T
zQIw2c@798$X=v0hv=yh+_uB2qC3q2r?d)KozU6A9JSV!^zB`?rb^yqb0Nb+x8^$8E
zA-8uHoR^_Qgn^4HiflxF%~t~(96=OyINGpoEkExsvQaCK2Qoy6`>~Q<s^BVYzKOPd
zzSWg3@y5jkZX#5p%8gQlwwT-@le%sfbv5fA_l!7&&U};H*21c@DtzN(rhwU7uDJLE
zB%ZMG<PrUq20!RqkutMUAN5dHfO5<JLz<p4!wWoP>jkxbhL+Y(8;TRqSVQEECAVgZ
z($1ZdR-~_q%3fShqV9gW9{x|fW<PiZRFLJq_PD%+Zx7=BXiZbX{fZ6_m8u|*G*B}!
zM(3yss|k&`7tTD2auhUBt*3*rZd)rnbqwt+Gg0Q#7jSA~)bLuWQmwH%p9U}W0f5!h
zY>Tm##o2@F{%DpW0BV&qO=o6ZbInWZC3?p1$S#{d8L}|kR^kE~IC<sIuAQiFIu2{o
z^I=?50$&m-en8R+E!|S$dhPdiI?#3sX{YYMqyla3Q3Gz5*0I<)0ydtHP00A0bx^;?
zk^~c?nSe-Q$)+V|+re0Jj4bRt3u7b19E%h|OmWm)extj&wG9T6p}D+d(_h890*>Fh
zUE=?Om3+AL1Q)yH_nXzRZ5WIDd;XOEg&}vTmK5i&0f;ZO*%%Tfs?#yN;?OS;{85U+
z#%em1)KWGq@#H;4EB6Y|GyKs$d@qd{+3H|y?1RJyUk+BnWjV6sEwog#(*}vqC{;_W
zQ%`WO@+{jFZ3p9VtxA4d$YMeaeE&kw?K=s>NY#GF*l}V*?6ooq@DBb}wf_L+@L>+@
zQ72EQ+%d9hXi3+{7=#ZJ906_`qG+lUtUWdK0Mz?N$=#zp%p~(3B2u{*Tu6`INH^}R
zo3oWKNIZroQxAm`Rr%SvmozB(>x}>CPulA^636=7?mz8Oz3wX$bMvA1qy5PzWPB-;
z)z=F9)n<grVR>%e)5w;PLPNn%KyG>E3hbu)qW@)<Is(qRPdP!!l&tt}qiuch2~a<o
z)+(3@UUkt<*h%WLYB<5e#zq#`G@Mt!^XwVEk}}e+UJ#m>PQk>)6u$l)*z)Q<s68F3
z@KwKxP=_(myHvL)izvPn5gn`~!_?7C86@p~u}HMxZW~oO&A(d~!fv<VH^5dJ=!hIb
zB^r1tkxKI1WoX&uqYFoRv&TimEw?qo?P^a@n3GL*yj?(xbqOIeg?N_^y5kjef!t&(
zwEl`VvA;Z?oNN9t!Km6|l@=pITJoM$^P{n;SImZBl!~cc+Co&LP>uYSPRdq80{R9z
zzP>3l7jYYrRv~mib#Z`Sf{g|>X@l*DCDCrWBfxV?Sy*3WmwA+zdtoHvExyPwCE(^|
z|EX~hNQ^+3K%`M@U*7rWc<9t0bPJ#VFYTNes0Pzcg6^jdc-j@BLp0BiOqE!huR8yX
z#=(f-s-l03yKu}`Kx#U%2}T39(W95T;^tWcpMN1SY}eAJkQ|YL)RS$X3RCDBG+O~P
zI!mvNfke$HZBApYC02=w3I+8!ipZq>$1_1N*G`#jEyYC|+xw&reQkO0@T<}~U?;$S
zU4jdhu`e)-oq*Z*)Ik-O)ddEao&T!=hlgo$C5OYLRmGZIeAsIornbt&=_t^GIUB=F
z5Ru0<tpL%(p~34DmzP&-P*8~$tEs*LZY>p0hpv00s&!~xE?&!zu}^#|-=qS|6Ip^-
zd+vkDX5-K2D<TW{wC|KQMBr67bmX!3v8>apd%plE7?7!8)j{DD9!~zopm{WB4|#j4
z(h@OT_VbkB2qVd}cYrjg?l1iRi)GxWpyTv3YH0G!ipaVKcJ%y!yy8`P+dPh+b=nEv
z+HB9X(*9|L<=dns(=y3u3>QIilIm!77y13q_%U*uzYnFS@Fh<6=Qy$LhodD6LH==O
znn<+7`cn-FQpFUh<h2sG=A(8bpnv>GNAh|rz^RtW%oV!h)Tq7W?d0U->|EQh&(S5p
zgceLO*|U`3$&E%e!S34H+T6T2WPk*^*845K$bv#|jM*wxQRZvmW|+MiCQ+&&FAQ-}
zV?{=D<hkk1tBL%^EY`Eu9=+x=gXJX9dl9jekm=}h>wpL;+`@%fY<hC&e1)TBn&nS%
z;iEFC%G#y-jv>Q^x?lT9^{tO<irV@5fYPh~_jV?*qdhGZ0CgoEjI>AuSoNtA8$Qp^
z^!maTLb~ZD(EfCcnaq5Ax(yWncN;j5IWK|M>-&_dQG5B$C9WIh5F(@g3xBHxmKv9B
z!mcuQ!zA=6t?@ij7`L5>d@$#wb>{(XxCr!DQROBEBlXYYSKhq#JafT};h_x5oS+=C
z+O3x~Dl_$~4S^;w>Y8I2RmJc#WfB&K1PT<MxOweO@0AK<D}dcIwTTc;jDvU34f{(D
zLf>v}z%<KL_W;Nx*#fQ*tTBK%;YUiS>P|bCLB(%w+#f7WS)AU>Ar6PV`51&6ra~Py
zQg<Ro1sU|(8qNmzx_b$w`1Eq<SBjtIh`A^G9?tG)-ZO;85d~p$CJ7Z<JJt`%b1-Np
zf5C_ZvGJTLS&UEFo2;GTtLe!lRox}krJkO9|7LS(3iwqdCE9qlZX6V`PhkmkL3ZMz
zB5`rl@LtAoIP{g2eqq@D20;O*K}N7teeKoqQN886F0Rh<uB}&#oCk(2nDySehjk=K
z-<Nvst~wgMcNZP6=2Vx;ou`+rD0gbR9m>?Gsop;PSiy#cY+}c=7lU>PAV@TM1LJ`*
zTO%c9MPmkAc={2X5h?NWAYE-b$3xI_=ZYx!a@pH$pW~?mIePLmk6F{9=LgG}rV)pd
zghBp7afpJo`XoUbwQTHa_e^l-<A4!uyhCK#dJ2LmeGpwTOY_W?w`j9oMMYT|&~ODq
z{jR8cyv)!1*lTuGT&b*=QA=U;F64s0DW&LMOIJC+R~J(%;|a!s_=U9|jf{){t)6Gu
z3lKtM;0Gq5l(n>cmR9TM7ey(@SV>)g8{m&%0wL@@>BxkFf9OF5iDGxpiIt>=YcMFK
zfQYY>4=KDXk@KyLs#d-<BvdO=wM$UplfyCf-%?8oy7WV%q$I`-;*voP=(_T@JuM8~
z6g+xMhXL$;(K^9?po;+74Er%=qn0(OetozQBbT4&%*kh4)l6_~nVx2*`59XcTkabU
z?v3U7bJoKlyL`hV@y~vf_1cs6+GjC#TX4ZrMdNI<pU}W`DN>E+PnGoz4kiC&GYQqq
zD3(w<=Brzas%+f4L#l4IaNzoe<^04Qn4cYytKriYQ5fWGm6EM{wbTs_E7<My?99NF
zhBrX@-REU&XlUr}KBr|B^(RZ%R#A%~xxDpucg%u|1y!Fym+-a2Fam*};!j+N-@DI~
zYs=hQ&2*@g;@pb%IRsAq729Dj7FKhmw2L)9dcWU&D-!JvBA}33&rvmq$P)C24-1ij
z_bVOQ?>gHZ0n>Yg#<JgbFaqWdJ`H!!RI8m@aHL=oe%qPkd_#nx3bdg#G}4w%!Q9>i
zm;A)}u_4aeq=AhcV~k$=9Oc7`^r!8@7vuOjjW*OAZ_^x>$&zn1@A;6^&z`&fThN|i
zW@ZjH1k8guJt5@aDxaJ9Qto`&AmUQy6ihOHz=$o5o-iM~E6k;njf;guDMM9P#c4jH
z1?1_l)N3*K%q}mJW8bvuv!v$Im5{=B0Fk7qxjv+iy|;+)Vu;A%DrW9PiLw+-5Mu)0
z+d-}t%(P?*dPTGIw96gU6l4zNTT!gRVa!e}dVB*y4lMHD)Nf`*-(`lRp#-45E6Hmx
zdX+)~Hr>RD{(NSOT1m%c+=kfRjFP<g7|Ca?KsxD!F`Q=DeBj(;ItNe`bGWdAKIR11
ztS{;R-wp`Ig2jUWs>wqL@fswtE<!_3Hb<fQGa_*j+K4h^{8VV2p5<H#jtFEI?`$r!
zP)e;EaQo@%Lz$SExQL@&n$RIBcd0%`2{fhOvqjMstJ|@NK6@}5MO6Z^ZR5dBJv4|_
zq$$LLi}=YAo3Q7Vj52Qb`8#lK5W*EZvjinz{k_zXxuz6}HUC(0J!@lq`MG8q_EgKj
zZCd_&Qi7eoy)va4`F4hR=FnzGJy+&XEmw=HRabj`ENRW4c~q^zI2x0E1w5inWvjzA
zP;p7^IpBQu>=_u+46O@A<AORR?f91!O-pI#b!&Yyc{kSMV@HOlgbNgg-t-?8uki`H
zviP}zqX2&82u;rq&=eHXQT;}<4*qN`Fm$MlZft7NMu(T-WozYQl8)K>o@##4%CYrB
zncDj-zOfyrpP%APiLlx6!IlDtamUBaikV6;V-`TrA2SNZFXE61*+j)fF7wOu7<bX1
z*_tFb(^BN@(oZHj`w5N!87@L&pw$UjUcaGkJ%p4cw~#?tTnNOki)w93lU+xf>Ah>S
zeoz>H_VDzyTK$5l>~jNEMZD9&Fw!CfHFS8Ka;8D~ccUX<S;j1!YRI>4_-K{4;qpuv
z0+Oh;D#}~<)eCDI=D}BJTHp#f7CZuKn_-y3PA+yybF)DWwNVL{G}tY&p99`nSlb*P
zyqj}@X<icy{9hOq+^Ax*s$W<;(Xc{?v>x#iM*}01$bcKkLVKrg_AX!EF(4M9h?CRB
z@JttsQjDc|3zaBIE!G#9L=mAOIyyRnDKGF6Hz{keC~Hbe2*YCPDC~`92Wq_is_An&
zYtkqP$^i)maJDW;v~;SaD_%7TS*6xajeCy$PD<WiCgv6+!;xGXM;6yD<fsigv(V1M
zkhpAW6hcZUX9dwp2qb=g0BPb9c<n_ay;her39&~MnjrrIHLp>p65+rN`6EGe{gK}D
zvr10x3UN;tOVUb7NPxJeJ34$o^Y6vngRHhF<!???s_LL$d(iV%TveneZOdI0OXr&0
zJ~r)35-2S=-l358y2~~|mY?<r_|X#d$$%KP-F^&ATpFZG`a~<|%A*BHPrcVJe6Pxo
z+|cma7_9~=t=BZ`6V2ynN*1M5Z?%#sjGlY7piIvLN$PAe(XMx{(D%kZD#oYeL;hbr
zW^4vmZp+A0ZqM_>z(OWIW=C6&Q_+vohaJbi<2>Nzy>zLWej673Fd6bLrC&;T-lV1G
z4Z*HMdiFsKR(u%5z@}1%VG3{tShLeznwD(quRPX#{-EdcbD;GnSyOdTaLN*m)P*CJ
zglYk$!X~E;SmS+gRC>~sDlwx-@Nuqck;7%UUXOV0MScdm_?0G>9x^t(|BE!qb3RPq
z5R?WF`J4nI##Z_&tlPh%Lb^qd+j|1UDL0q9+?*K)2!Q^kH<Z($7zv`T>payl>g4WD
zg#9_m+{MEJFOG<a962thbY_o$6+sFyHl-Er^W-PKtnz}~OU}%YLm+Y7l|TF~o1JYW
z;+gYI6%!{uu^uHt=4>3fra>-IYsFiC{Ijf^2nw(BHNsbiuVku(MM;>){kMU~JrZu6
z$H)4yI95JARar_PgbgxPtunp&FVSH@!tv(ek77T}6vwG-&bPHu3mX(925~l+`uI=?
z8zEXsN(xK1p16*_K5vh;b#22i)@w>w4p<#+==9!&=Fasixc@`cSB6y;bz5%^9V*=-
z-Q6W1(ntzOH%Lh<DIWTe(k&p}jWp8T-H4Q+G>Cxlt@FP3-p?P(!}AcXz4nYT#~gzo
z5P_h1$VHG5y&4_8C#?KjZ2jUybV8s9{q#RohUmm|JFo`n!6W=+^c<CBG@ZAb+WJEt
zYwP+kpgR8GKs2|vONxjz)l6w5Sc_6S|A=jQL8^5z6U9IQ#c9L3fQZcBzfuHhqZ8es
zb6)l~HvJdv$;l*n^;B&pRaT?^Fg&*Vzl~iD;;3iyU+rVFHfHDHJyEOvm!@HD?5IXQ
zwVm8IT6xM<XzvTe;X%J~^I_j7o1+lYG7#3o`>21au#mPC_LzhMrqIebr%kKg^t|uS
zL1%CjH$Xa2A4pDpziOC~Gw-G}M>w_6aU=shRj{fvtB7quZW<s7T<B1`;u1fxqCk~<
z2AIk*+K>NOrEqLYr!o#-ijD48?}19<!~f-x9Pmudd6g2ZSFGA~*ykODDqm+5g`AsT
z##(o=(`tW{_U?R6ET2)-d9vuxxV-X%7VG{)aWo)Afm_=$t#@c{=>3K*`C0xYm`VeY
z&z4kugSx-ev`@9Ej>xYq3+HZceJk}O0)Bhr|0uA>F^{k_vkC6=EENyJdHk~s(j&SM
zolTwVV8{<dt&MsY#T{wsdt#ual<B=;FtAjp`~3khbP4X3u@}(d=g=|PQ}V57e@jCD
zREAa-Hde{|<mfVB_2TE@)vXgD0zA?EZp=q(G<G)KLA0{N%I-x|s~S^|O@194mj?qn
z#PZ?yA7+pcH0xCA85w0cdEN@ADb~?DzE7yAv4oLW!Q(S<f2FH;>u-|Rx3(Ty{>o{~
zbZ$LBifVoR`t|tuc=y3ym>&>SK5pKQMFKxwYi@%dyf)HpC?J2JiS+rn^?UZg$Hy1{
z7lnUUfU69?P=5IYL^}I^_pfAxpY8bd@Y1;uGLGmAhKVjGFOB}dpoLU+K$iqd`Is-}
zQdJ6h@umli?^Rx>u^$@`t`%tm016}<59#@7`mNAS7i@nH70HwJcU5Ha)1WvQ-32<2
zEOnf!vvY=-jLIxL1L<h@3HE4qU|cBHH1|1QT0>h2f)acmSj!{nqb{VZoLXIs*^(KD
zS+%-;Wqs+p*@Ne+FQEL#edM!X7{F*i`xz`+AA*S1l#|rL5D(RmG3TOLJDl_%ZO>yp
zm&|#*y|lc%ytK4LnPz(Yz^OpVTgfIxN1oeY;rWwn4V519&&tmT3F^gGMAc?@cXw3<
zZa~^C-#p2WkY7=NYb6vC<2g}O%4!!*krigxHcxMug@XbUFm?ZBJ|fzuI2Cz!Ap)c?
z6=SKz>KYrbp1t2y25AWyp9CI9a-{zMt2_Mn?_Y4f0~;aM%NV$Dyb7uLbY7xjdmIP>
zgVM53+oe^K>7=ymD&lfgWzl8~X$UWbe=<ADsg#1KKdIe@G<X12&C}JVa}+~_d?*XN
zA9BYRQ`mu=-=BbYR$flO7dU<2p;3MwekMhIKZY;s;y~q`7Y`+O^(g!M5k^v~+ZYAV
zK!Q+YgB<J_9pom@QRi2NMutge?Pc}K{VN1ivEa$P^$Y4a^aQ+NL4mu0XNR=q#VaPZ
z5?aJuJUox6^|JRLNS=1}wmr5sPQXrwp>=Z_a8^LH6VNcdJ_hgGtS4irxdu>9(E+f)
zZ0U3++ZsYcSAvGH_@57V8R1)nEwk>&vtWl3*qHagct2#V9Kf8CRSE}9)ZZh(X3NXy
zez)JJH*fj<E8@CC1KfAr(>>Iog>skUMvmlc+%F%BC&1lSH9aS+yh4h}z4YaLfe+Zn
z|BaH;K=}gvSmA3zA{y4ifdT?LlI{8rrW}k7ObwCyf3)&$KV|JK48l;D^(bX!NtWr7
zNm&iooSGJCff^yEL>2mzn$FJSJ0s-;r{jA?n2V&Noo1#61`)s(-jI>NlwTZ@`HDgS
zqM(*Yqi;v&CsA98KNj6ADzToWHCc3MX_G$o28MN!rAz#eD4sqa@+8yE3*1j3(n{ZD
zAcA$VYT@Cz<;1;k)5i`?W`ZDVVW(Q_;?0vsQvTkQ;YN;LZ{C1q2B7)DiV7*DIM7SP
zzJ-CdjS*%Q5qOVDSC%iPp&0$><)jeUmp%AntvRIQf%;zgWN?7ziD9xBjH<9q#iYo}
zJp0T+PwvY>%(_MWvJ}wn+zxmeiVw8Zfp>@-^?OYHEB}d>Bz~+Q#TO?R5LB%3l6rri
zBQg)^l<{_0)wHgz4hA6?YQMpL{r~#x_a(RWXPcwEgddQ32Tl`()-&<#xkrT#Fbi`Q
zlF~~-%3a2E^qz((!qzbKFCxO%KSP#AFV+k>La=%P-yWFy0XIWNWf0EnD#i9eQ4Djp
z!b6#1x|=V?5`%xxEz3#I$pK5Ao(}rzrW%UyXg3+!dv)b$#Ld(_tS5x-kW9J%(9h%?
zixQayxgYkr3RFfpSV9(E=lr9RIw64sWEcuvh;TW<^k?kJI0V4o<BcHYtK;HY91K0f
zo$Q!<yD;6Mu_a%c+0b2B#rrT+tSz-gT;6hMhx1jo4TV9uGLCvsMWfTFm`%e>cm*P>
ziySvNi-I;#IVOozD1mP80}%AFw~?q60+R1moRN99^<sYzfIeHQ(-S25&y94I2%>HC
zRC&1na^GizYU4EQr7!V|s;Eq5V8Ds&`X+WMtiZF?0EP@e%GJrqi8qmtx8%7gp7#QQ
zPb%3{1sn+PI-gZso2;FjmvNIhTE{_N;=%PrO>s~BImsE^Xv&`Qy;kwFeo%zIJ?+N)
z_xaJf*WiciH82YWtO}R5bqqLb<lg>1=oA}jYFv3gOo%DcqWP{(t8)ySwc>t2_-|ep
z5I<qs5jJNxA9>koK-j3l$`OUS`_Qbc<JZm>8MRr-O+zX|YTj4p(R2IB2DqQiqdl9t
zox$)wZmQ~gvL<Yy%vm|YO>L)aLn!8yEP$jkZPze8K{UOlA*XJN@;5|CywwSzY@1=~
zyYwhkUyrcta8-e+M28)LV1Al;*D1XUf<h@gkBvEs-}LO3rT3?<mLJzQn(H>jKTmXb
zNaF-*;6$uVuj*aOd*w#+I1)_+51&c2+y#c8+@1vkaOrOA?S4Q*?OlG%I#|is13S&1
zKYxAz$zp-dKJrvr+-Jd9biZYU`~nE}9KWviTR%T{$43Lb0a9Fd6DSn{A-qlBwM6MZ
z2O9q-PJT~(d>Zb*nUk5>_V@NXQh4_X+tpmmDb?mL4Elf_hDRuHP<wBqAio;8P_`H=
z^j&}c_eaAs6e($g_%)N->G@^{C~1+=cYZ<Vf#4D+?H5Sd!j#n1x0_}L1}$d;RN#SM
z$))-#*nT0K@wj#Q@Lvev;&XD*0dO)&(x&=@InAFRT}#ZIfqIGSqUT#l8JosR!Q6D)
zf0053=0v@cP4u-h`WYA6u@ID@@9bmgEzf!%HM_(jw&k7^J;enhvEbNBa3A?|;(nsa
zTkd2P=yB0=hP<fG5SiTPecI$<$_eCF<W?5s`~x$ByID~+l(K#D7SVL{69BB~JP`;J
zrBGo5o+v=`rAfNG@0QIJkwb#`^hzNuRFbDxAD)u!B4>cf<^4kzqDO_#4q|qgx_Iz>
z+JdnIgNHN&de$Vm^Edp2c2xX4ZvC*xMiv{*>O~6rk_gS<#{Tn)2mW9Q;Z0ku<w)I{
z>%`F07>KFLa+|LvNGq8PN0d*jfd;bPc`3|sZeeL{8$3mXlJPO<C_9ykG|-GKl;&`}
zgRhI5eqwywZDRTv9Pdm2q*Svy!B!p@_9PpScJf*OZt8Wt?ll>^<Fj$}2ADe^BgMQ_
zN`o~-CO$}9uPk={{4%`meEoCP<?|o#SLe-M_1hyy(6(#z)2bHEfMV}IV)a=UR)ewQ
zot~H9rd0~vd+&*?xsP(?+>E`Hy8QUyVFk5V+u*<7lmF1*(l?3HEtg--et#v~yj^G_
zmFN4j4Vn|KrnPgVaHZMb^VD}h3+j7bVooW=uh1R-|E=E>3mcIG>^~nK<s3>YLHUf-
zFSQb0v{Kj_3e=dG9HiZ*jr{4$%SKqb`hRR_ZYB@=ILJwu)Xbhdxn%B0m=zHm{>oJ^
z<Rv5J{jki2#PbUS8^!tCr61Z>IeXU^cAAKAuUmja3Q|5kE&*cxx7wj3s15Ij_vr97
z-lUI%Q43N-5g9DNY7vk$1G=^EC$k?*#5|5Wqs0P+3;_OxGaC(GQ3C!sEwJtc985^Y
zp(D6k3`L#w$CB^h98Q88AJ?b%?;k?Ei5eXH1X>A<Xk)n|ua3eB8ns(yLc@sjmM|FD
zQLY~=c$gYmS!Ewb?6kA`I^s@)_pFFy8&sB{6L77nW*%_a-_jp_vXwKbazsyQuVEya
zxiB!GT5+n$5r>WqeKAKZvSh*#r?j86a!5POu8b+In4)6tw@WanE(^LD@33}p(QsUM
z5?&-zr9Xi!2aEJqSjxY9TRP(;{EkNY`J@zh;EN!gf$QKrabxzo-wY|#1?b;?ettk2
z(n|`6G$EySzYK$U(Czo?&v(adR51gCQa@|K2{kQ#e+<N`fV!_DxF8R`*3ODVI_z()
zetKLxe*WnQL`!e$rSAkFeM3X>*Ilog)-fQUS}K7w0Q-(q+T(tE2W|r}A|&qwDkYuY
zkdnkA8{XRh7DN)BLEHp{G@!RU3oaqhQaOupSzB9cmjw|bVf26N7>xzcu>Dzol;1DP
z%?8IlA5)ow^invlrxtFSQ9WvtvC)$5?^zoX*Xgj|bWT#J6tQfWlCeCDERL!dt7DcM
ztGAiWVBO&EnNwopDe&j2k<vA?L!=A%<*O8e!j|WuF0p*2UK9eP=@<k86M^@-=Yrd?
z^4`()T+NrE$Cm7;k`Xv>1_#Mh77V@fx&k?2Y8NGjj&gz_Se^&!ezM%?w`;_yoLevZ
z<DPwN1ZD)(1pRJK2R)RwY)oo63h1yVR=5xK$p3Nypl<y7F3U(tOPvHX9YOyMJ3*Dg
z889p(mWS{M&p;f1S7e0u%)TPDjx>;*5Jer2P}5`&H-OMF0>Z+gMqm-3j-l99bOhB<
ze6$v<GiHm)#kG2?V32Zk_s5}e#Aet~g8Dug85v9B@U3xO%V$S<>-0W*2AL04Tqz(U
z^2}=dC0j*GuYoluasro*s|94?SicR<A1Nk!+j-q_Vt)GvC}f@t3=DvWaSc8LM6wUM
z74pxruiN)+c>I>jO|Qya-rcPtwep;sx5A3=gdtP#vYYuGH6mXomzLd>sF^*vOCXhv
z0c~6siJ07`R;?b<09AaX8hyp1E#yDntJ*-*Ri&D+gZy!oO&j78H!9hIFBwt;{}&o0
zrl-6gUP3{)3xCDT(lr!m9R6^8(mKF01TqOjgE+q^`Skwo(Yv6<YCzw0d2b-S)uBl$
zHH$Fs`spg!H7(PCB4b1x6oq;>A3^)kE{O<VO<?Q&cd!kjs;c^3wJ?zj-$${ajedPp
z(3&yra+Q6hsq#a6gG79X@iXso=wJ6mZ@_1l3;punGr0U8@TUb8b^%MkAs#Z4oJf~}
zIk8f_V5qWez)==Rto1b0XsztZdZkg6Ikp<C9RCtny%`#@C(}RZcF3`hFoegKyk%wQ
zyx%J$KdP_*x_<Bq0HqVDn2i{|VvU^R!E_8B3!$Ws^4SIij`mpSD`PmZntP#>uN2%Z
zAFGd`qC+$eg=)59aaYah*5cf>i%E8RaarVi+_{hTd$%+L*VdwD1#O~1X$D4MSN-4Q
z66H3weNN<}K1dor28FNF<9{A%O{;&__N6c(7oSn1`wAxlv%4hE!E2vl1f0o``MiGV
z^&UyJcRx~w1+|N;^E9;BwJ%l3gytWxHE3M?{!sESkP5rl3V#&FqA&db0s@HPw$pcW
zjf<ud<3Hc+a+p!zaeGEJpTGQKF!+CHO(L)@H4F~*Hm0Fv0e*)vQ4j*Hp}O7pITp5I
zzh@bq5}o8^W+$Kd3VpxR7+h4dOD%L?N&xRDEd~$1(<jD1K=E$uq~x$CPm4Y;iam#;
z5JYfm{%J!VPEKQwaUsxX-h8e$71O!K!PB2RZ#R#t&#rX5<a~g*>s6jUx@u#ivL!AK
zRV;mY606u79OXT2-A-P`qr11a2hn1|CejB54TJY&@H8MaI_7AL@_9ou_WC@Y8I$-Q
zrwtunm{6Yo=~>)rzyBcpTTQafD<?^sm_aMKOUcRYZ@5V%vMHezSWG&3ns;g(ql~Zt
z{cP!5*N=<e*$T1bQD`9E0Z}ppG~~{K(4;khy*J{J<zUAtV3An~DaCH0Amj_{WKnr$
z;7Afd{2Nw)@lnZI!H_s#u0PTGwj(>B4?sg;2+$6?aI+g}M;^beTfoZ{S~T{k8Q%05
zZvu7{_Uqt{19D*zEZ}|IoT$TtOz&0}rH-+Yv`v&R;XoF5(gX32%EfPWRdRCl;`aqm
z{OsNq+4L8HDypkLpC?zhUz#99@3r&rzs>uY)VdujQKVS)o5Fj+P4(OVjH_5|RwA<q
z1mL%_s;39<D6HV-l{S&h4^)=giG5{%W!FU40$e|Q;=xd4bY}csNHl}8AmJ<Jk~vqI
z@?2IFWi$?+Kj_Ice=ZeOUiG`Rx3y(54*w`{Z)tC6m~&_>Nct0ya}yMT$vi<@^WM4=
z2Q@lZQ<&w{`*p#`ud6tF%#LKtvFxvDWfS=l)uRT~$~(bM?p5K&QwcYMn_#(k-Gw|R
z*@BEA|Em4NLb8r;^1zE^{N9XU<3f>rhE2L26VceX@PK2r7Mp<p;E@!^i_taFUxqq=
zDIvhw*1clbC!&QO`d9GMyq|o-JjD3b6Y$RP;|0{^NGk_9Uq-_bao7V-+=2b?e&Xem
zWmyrXP#U)pe9gQw8LBU~;$m2&OtiH2jz7BPzhv(}e%aJ!=3r%Ib^A3n;2<^N>o5`?
z02@`q`@vwCFez1&gY=05GR5z{gLvnEG5+rA#XF(LqU3m;;7LGTF(Mm?U!v<2@2SPK
zOLe#(2aF3XJ~IPW1-7?eM{)vRKK#G#ULz7e2+{R5U)hxrlA#U56UCH;(cC(HH2!MJ
z8qzh~%!)%#e@s!tMQ3G)&1s<!ly)}sYt5auTZwlEkJCg4`@W>6ObBE_uHG8~D8V2t
z*Ggb8bKyX8ncKjp`V6!S+54G(d^c*00xFGRuD%Z)D;gE-83!17(bwn=4d|F1r{pQg
z+~^AQjW}_&r2T)nc9`aL^5OL!(D*HVz`~87m+uk-uSOah?vYO;80Rm3f6Zn?EU!fj
z+P=fzGOKofzl`hCBp?o_t&=Y4xFnOLW`hdpY^jHb>dqd;{ER1trwIjM!WosPSkcO4
z6_ms<4&w(YhRC7RF_qXX)gnQP(-6`i#V1^{#KVZERZ42wQW#~CvP4A~OgK+V5V+ms
zRv|N_`A@k{T8u6Jp4%o9KN1P*7;<8|0q>BFx}Po8Ia1!a{c6GJ1Y{v(Dgs<oJ_z_}
zm<`oMd;CQzoVsnE%SqGJZv#D++ph+EsFU2zMgN^zWwD?Wl+UyONT`ufLMX{VeUPgm
z$30DVd|5P$h&aAPI(<mAL%Oz`T7<n$8!}|Xwd1lIH6mZAc*Ofzj%0YuzvTK{C;lB>
z?-;qFQBT2fdU8MD!Au!~k_ce2vv;LGjZ(tv@#xCDJzSs~q4j3<A)X|SV%+}SXra(g
z0208Jd0#<iKH!q@f*|oI|Fz5O*FuqbV5*|^qOv#q0mD~sNj-Tw(Li%Z6Pu}a$n~Fp
z8`+>+@ho;PK7?RZdu|y-vkJdQ(73t7dT3isS@c10UlygtfsMD_sU2hNxZlCned5pZ
z@iiumw>c;kv*;j7*n4II4HfO<r$9nf_Pz{LcGy}UF-8y?hkr(H9ZcNrqU>c8Q95Oc
zodJ0ot|)5RsAWMK-DNt{B}FfPk(Av)kbS@3zIJ`2^Y+=VJhd;W8R!kbjB1kP?%57V
zFIQ*VgBrlB>tb94td=|qS6rC<hZKw@5_0y>b0Bu3)-W5(c9!I@{j%JD^nV3HMQCWK
zo_)3v9v1}B8`>8Z`@?K&7}F*r(ip9k!gf0v`|FYjp$PPE$)ZFT?O(A60%gMnEu1HW
z<pTO_RTJC!`Aj1eR4cxJkDqQ?K!4#DyrPy)5QLvMd+;AL0ccVE+4ub;`;5j&E7p41
z`)Yh0*dCHw>15kS&1-sle{9NXM1x~tL0F=d#|qD2aCv)qHmo3(Lgd?f6mbulcWBgM
zN6+Sb@x9Q!(D;?zyNMCXLu>uhahi?IB22&EI%LAv37n&8>O2lz7!YLFo^j=%Mf}HX
z(nzXBr%c}XqVCKH{=Q(g@~eU0t6ITVv9Bus06UTf(Ct4aIHF$}VZW1~d(qu&Za1Gt
zjx(2~quPg3rlTc7WN5TGpvv?-YNz%lm!ejkov^}Fr?k8$J62uIK`a8E?jv0q)!rAC
zqO@mF9i%+o1fYTUZLTXQa3U7<XJ%`!7fqzkc9vVuIDFoV(5rLIzx{iWGkNhFc$3}$
zRaZ#Exbr^r>C-1$v7f=mZ6}=vQ3jJYFZ=N%+nSLRyZvR06`AIB=aU~lfXBO_TFwE1
zSnP$d4tp{H1YS4<^v30Q6p8A~MWM{<qC}Z$<Hl>&w6i3vUxn68+hNf`1o(|5f=g$l
zy8HT-Kkf#Xf~rZswl6nsbVl;K+4WGOKBVlKcWvgp8?9@i4Zjz!kU;u9zVYW@kB*o>
z6=dZ)RuV=3+3V^y`RW#EpoJISTU4zkOsO8p`2xjyR{w3QTUPLy=+jt|6rHCQHw?Hx
z0=pUdS7{dQ1jT37pYaw4`w(&4eO9Lb(r=!0h@va;DdkC8yvy&f$drje>dLSErwOC@
zq*g`$@umgMQoLTo_jsi@-W&V<@ZwkT$5lLNpnEiwbpbZWqSV>Py`3MZp0f#?I`z(t
zI1^Z>2=KDx{jJS4BaoLbAr8tYHVRl^A597hOpu!!ZzkM*G7*RU{wXUSDtNlJDK@5@
zp~@ztiap8#A?{r-Qud5*|L}tX{Ds>0F^#qglZ~rIGwH`SNJFIT^Z3Vs2i(!4zs*s*
zfUN8N37_i4wxdt0MF-c&0VBHvCL||##P}}$V8VxO7uW>N9K>^2U<7pk_n{fks?7rD
zFc6>}_N)Fiy`6mLym|BJ0kQ*p@K~_&$DwHKg{SzNA4^-k;ftAD7Wc!ajCOWY9&v{K
zRuVOE)NhDP-?7Hkpk@b)X52hHxODhfL(p~frc+I07+W<-c-f}{rC1&7=oeQG+57fA
z&c`fz%wbJI?Ym?#_|0bNtSL6j3KB26^RV~0u1RhgRrAMw4lX;*AKM86S1DalZdV;F
z{xa4&=dGJH;icRVHW+pTEM`)TXz&VOSq{wDRtfMR*NL2O1I0G`oPG_;<j>Doxh$!Q
zi1E+0@`@}7`QvL>XcdbFFcVMhaN>U;@<g6pO$=?^x$bw?o5)FOU&l`Ruo$}LDYNYL
z>na|Cfs>($iM$;B%EpG22=CJpqQq!EjojL}M8#*Zo)AQ$r6WImO7cJj*Cs2f#1Kb~
z_eIi+2p>0UBdcxdDF+PFA^P}9wJuLH#fK((-#iZDPb*nbw`H-&y37>nm;Hf%4F-e+
zQhp<&-we_Hu#rkV$JUtN9>8j>d*K^qp}jcA%}<>)DU3r;aZCwH;~mhs0CmdG_n?2L
z5B~AKO1NGCHK4h4yXxE1;73_UE;+5B%|~i-(?F(xdpCKgXpAjziaYS1Qv5|L&=>(W
z!Ixv#`9Dp<+pYWGr?xXLedc(4@drHh7V-_Ztl~}3mQ=SMmN~`>=e!%Lj%eR1C#z1W
zHhG1lcD9n4{u$-bHv(|p?O{3SG6`z6OYsS2iJ%&K?QU5$sn0kU>@GX4G@7OCjxh=h
zqjky|WGPoVr8Sa#0gE~qBdB4~Tg#mfSNUCC48PtBgr?8oarTwT+V&X^m5QZwJAH47
zxKf^0v%A0VZvMjLT*fPYc&!)QT_^2uI-HfmUyeYe6C>g{1<=71EaFccjfv5O(|w37
z6mp$T@Q{wyL>sd%;h7s&oRM^V&tf1^l(neiDJQSkAbst+nf-`$^BN56!5<Ca;`Do8
z`W=wyxUE9Y#8}M5enGVTq2wD0T%79BW0erv<i#^y7cH0p8pI5T@M9{jw%ez~Idq&2
z@_bNCQA{lgYrDGiRm1dc`&k=}?*a4$+?H1Vojo9a{YcFBl9iz2K+VM$sfqsQ1gRu&
zdH3hh?=P5O@iiQrFMH+Hj~(DDl@B}+Y4d>W(Kr$nK~5b25e_gC_r}tZ&>Yf3sim&&
z+~wa-7mam0v-5;h2)=Mzl<5pa(1A+ARU!5b5Z;hRha&~$kKRy0&h2LdqsH~~4o5$J
zw1blJH*f&sql^K?C(>F7z&lcEv#gO)z%1jD<V|r}Am$_gQ@{61Yin6F?Z9~278AJ5
z1?)xmd~%on0ScWeyM-0t2|9iJkNP~p=jL184SM=9X(0gaK3uf}(fZc$$k=Vk5BOj?
z$IaQ<S&*`_f>>_nE}&4`XH9zsT<5o?ps<87b3F+3%V^Rp#%RRQitr|uH~gN*>K=^l
zo#8DTh_>D&6ro@p%)c0MuSIyeLGU3jHaflm3{5JFSlia{yH=hI8ucJNdy5WtpQGXh
zlYqL@M>Tm%AvotKXFPM2pketdQ?%~BQz*WYO97A?`2S_8_Zl{!k0+ciKyZ}%fTtmp
zP(Oarc|z9m;$Ec1LTv%!Mj!91a)u$csXW%lnBi?0BwC$hSCYgYX-V2N$y$g&*cynS
zu@wrX@To2k!kL&UNYU(~w8|pzr=h-i-lq?#s?p`FpOx`7t$p#7K*iU3GKSgTt;CLl
z+9>nTSqO~S1=W_sQ>PsoodMFidDpSo1`b#1EJDNoD^X7K*l>)(HWG#13Zv@0TR+(V
z_-YdXSqt}nb^c4bM;fsEB48H@w7dh>SDT)*Y9i~NvzK3@OfU1IexCk2KKXkLA~3+H
zi(OiNt~l~|j29LbA_K$QQKJq1@zu!?i(iF2Z|z^bI{MO`V~Oz>$id#u%-=&g-`G}f
z0!U~4c(>($qCx{OLnoF`E)NEMe1b^2KHqTNu=Q8=Hu2bt%k8Xxee7${m%G2fEE1Y<
z`SC{d0p10Ed^#Sd&QrQVyk1vc@&Za?<rr%21{q99W$1lHaguP~X^*K_13feX6QIn1
z0vVUjyqzl1N6Y43T4P}i>C<R>lB;PGQcSj8%me)f=PjZdIghBZr=!y~l0w4w9^(b&
z10j*rmUxH8)=&Byc7u9yvyzhZ!3O97<vfSCq`w02zp2QpU}yT76cMqZ$)e*oE_6(X
zzMGFIA^r09Wn0#TYWW~g%Cf@32&73THP7M;pesmSfOW}jHRJQ?7Hbem3i=S<r7h&5
zS~toM53^^Ppi$6ctBvi~PDUtynyN5<do_Rjk6B{|RHR^xF)<nNvmS|YBR@8+eo?&$
zy0i1h7wuoesGOU>DKCJt0n+^^Yj0Lxnf>Y^LqcdrCnt`TfI6r9!sIGrv3>8Ji+3-s
z>1j~0a|z-X5?w*Y0VDzn3f|iYoFR?O0ky>aRE^IX>#n``K-uu<ZfOwtO+obpGB>ag
z*z^YeJR%(DUQ+@RsGrT_Xb#G^jCTOW?*|IA2N2Ro@iWrXW40GmUt$h^er*@qtM6~O
zTUojPIB0|$`81rq`<nyqN%1=;FoV<B@Rr<IUQR!{J-EJWvtsXg`h=W73&8)34tY#`
zDA4HN8pfkedkS-#tfV7e;Z7`$aa$rN!Fz}7s37;_dHBk;rq38<UgQ+P3mf}_eTG1i
zKpUykt`UUB8+P)OKG9l>O`Rk@D7S$Nd!8^+FL&Q@3uKlDe~rqLC}R|SvWW=xB_s0y
zc?O6B{##zFm*fo~io0khdmoPaoLg{CcJC%YrxhO}iXZ#Au>S`Dka?_MMF9>hCGnMk
z2$?LH_v}>_sKQbLAMeE6PaOyE1JL$)c^8f%<M?*)p_kK-m#B7(#KwZ<S#z)-i`KQ3
zR1783KUIAryvnl`5{b;6<zLAA8EC>qjE*;n6I0RzQLW^E^$;m?t7M5!3L#%Oq`{JQ
zX+wSeg`COpe@149&vRPA`*s4Xgo}N=CzAdHQ5#Pe-F;&;EeT9Ah$nXr#BN}!Vx;_~
zTxbKplPa{?pH9jN&#Zud@~w{|mLp0<BSLiC9`jjKUqLquo_^F7i4v|PF|&Y!p(*!h
zUBy%|XT@+kj=YKO`-1#9I=8;8_Om|znrNmFA0d@=O3Gv^XKku`AG^`KjrASHn!<Ll
z9-BSz$$CGyU0BFeI0qD*K%}?kr^^!+fJdi^e$u&q`_A6}fU**7?yjxU?a^sIC6#(j
z8y5{60cMsWhazzni5l1=DUtmOK+iW%uI=^hD#J_ZXxJ(%8$;<JjIKuObnVPl6USFt
z#IqRg5N!yMGg;pf8&Sk*4nk$R>=JgX!9SE6)mO$Bj2e3jxU4$lhlMi4`ZB|`UBBhn
zHiz?Te?GP?=YOwH;EoFol9g-Bovr%B(&iyye+bwvo?>bccSyW|{Ri3rr}?>t(z2Aq
z$cL@*{ol42I8A-Z7q>eSKx!}!1p0k>cDMASb>qNbx}GzwippiU;9%GKm2(R}wU)=!
zN12FEoLoM@uUadwf|cx(aiGQXKAOWmtfy;)1X^WFGO5JaXuGQM&zwT+lV1{{^2yJ3
z>>#?tGE+PjXo-uk#FZ03w)-IFp}^KCP*-X}O8#_@uO!sl*5#QfTcjmuvDKc_`5Jy_
zR31nfK!2VQO;W-+*g&~M{~bm&NHz*cmjmPzH=b&Z(>JUrgdb}M44>Q46T=bKD7+%k
zZl7vXX^+)<{~i=nR#n{(e|mVI?!*><kCq?}BIz#JW1|ZRau-U-7p#|r<N`khG87)k
zgok!(>feJYCGnvoR$=r;xA(vYhw%m0Ty#zWr&QxW*lB;nYxPyrD<>zY3s_O+NY7fi
zasL;3ebGRRWqyW!G+|Oo((nA^pgn6at76Z6Cl&MCZuyH!>LvFBP|sHYvnWri-+QL1
zd=x=aJB29EBM2BCMmKOO@fRQtm<w&}jRIAUl-O*eQFh?b!9TU^aYKv^!ps?}thlZP
zq?we5o;Iv>#pyQCJz*zanc9{<*69l@**pQFJpv}lMhoNl(FJvQaQ1B7q)#K!Y43dB
z(f8eyS9ki_+uM72dHMNCghk#9dbY)?1<_8ie~_2uNz&2s2I5Aim$v(RVCURQPnp@n
zT7fL|QwR*I;1e={G|SQ_J&Sh#?BDL5{{=DnrN?UklbvEds^~v+<)<N~hL_DG`S1Az
zp4{a}u*m2<C1=9sGu<i`w#^L+{HY@AG0})3%NG`jzLTU=D4hLL(~k5ePB`<*q4C!9
z?fwUjC_V+Yt6)&At)B#lK<$UR)wjE5e|KN{YEJC_w^51NOLp4=}iSv87YjcFF)
zaM3B;SU$99d;O-NZpNW8d)fl99e!6g8ggx3_qqc8RWOeXY&Y}1^GVZ}78%0l?CNvx
z8&X^^iR{nt^8NfA^+-8Pbjyy)KkuHWZW<+<rbj{iPdv9rQ9%Xr5Pt=^jf~hiKk+@%
z>+Yu0=GS{i4Y(g*pR0p|a-j$0w99TNVJh?yjs%p)j+MY99k`VNL(#UDdt`5!TNXNV
z94jMOIhqyE7<mTX+E7@TcMUii42YR=J}pb&mJ^%u9ECRucL6d27CzO3#sf#WD$v>M
z>FL=vPO&GCAj=LwZ$0qD2oBVa<a3Eb(Kl_f&n7l)U<688j;}~`%XmY(Qls<ZwP_EH
z)gWG`Xh^U=qA}#t@dF3C2SHtp{63^N$6lW$UdjC<`hzs}4F{9t(Hy|j^92^H2j6M2
zq`=hZU&XdZw&j0l;VpUCbYKoE;uP`An3s}jfIJX=h-;E7XY_T`0H7aa?>k@RZ;MWf
zgB5o`s0ACokKPX|>piQ;33h=Cgh3%nup}mWgR;e5-wv9vt%->V(I!UN6po;0<mpz0
zo_^=f;F@L=0?}nPpx7T6SHT=OWXVO5hNFS*c{@i7=VwGI2r{52&YjB88emo!7~qK(
zdhaB}VvQBYN`z~G3fsx_b1P3)VryJT!Awzx@MW>+DjI{kX@?sv2#1m$3qBb&WSTo2
zdsF;1U%TwU;N!L8j4GT6&Z9eoXSJlI6-w48b5YmdE<FLp@*=7|8q${b_H1A;cV$f#
zAupT+=N%C@Bx9#I%QdcEjM3wdVWBJ}<JC6rGR!1KgRCp*Q{33_JYS<(3&f<?#tef!
z_JakC{SiPA^{l+p0MO7s#%hD=#cBX)BE44q0HFCx0B_t!{C~Rq+=kCa%-QG{1~YB0
ztPb>+r8@jF3~*5NAz8-RF$l0UaK&s}@)XsSG5Vz-ginj&O&!n4_YV+IoSl!sfvc2m
zIal;Bx%d}Vx4$7EPC<nfVUSv`5^pYo?Nxehf)Abh$5)mgmALBl9;Nuf;d(3z#H3Ic
zjGe=w4vHGELy>`F{1SYj(S`ra;)Zp6gam@yPriYmzu)c`Nlq5WNGGGHwGVKS*1nv8
z&Mj;M`)CDVEwvSg-{THES1@B`0`1D(9eh-o!$MFnhOpcODM{qrYIsaQ_40m@>aHas
z1?%QA7sm(vr{b`ZO+jH&kjDgmV7$WfUs(w~d8b_^Fgr`@7#tgeBD$otA$$fG4;S*V
zePmPU>Hqmd&a$KFMMjR*qgpUa1InAg37AFtW?18IyVUv(+kcNxrMPh~OJvk$MBvD0
z!EhiAzvud`+~v?=IE`lNk;xCR*U~>@$We$z5ywmmk}dED!lK~A?u%}O%qw@ZUX<%D
zJ&bA(w<hGm<9nap<F1AWms9`~Vpt#w<0Xt6>av2vYg4GBr;3=PB1lU2-jYzj<G#b~
zQBtsyP}J~-Fw%CvP<(+yo))2EFcdhxCFPUxyb{jQ1V)NN@!2uBc^@8Q=)$v?L=1|W
zYILxC_8F|AXW4VsG`uQ;vwc_=>I1Tr)=t(T53q}2@oa@(MYG>bWCDyK)2|l$QOpKP
zSDtyDF|K01=Mb~lgHbyi3oZfvb1`TXL1%8E9J~{KGsZg+gK#%Oi#9M|&P0w`4DgND
ziYCBfQ_O$pomHN*^cQ_g|0Xv+^y??+g!f9bq!=HMw;LVJ`>9=f*8dKl%;|=KU!ewt
zf-^9NlY-%<pVrCBC(+C)j>%}~E6Ppac!Jk3RZ4UmXK(bYu~RbhE<34|bkp+Uw({1W
zWo`SU1pEFEnu?2x+g@4}z4Y~E4$v_1xv*8(FiQTw0_b%{QicS1;%@HR6&n|lCskI!
zYtoej;%ym|$AiI{;$(0_P%%Q$@Dgjk0RR~+acmuO*OZGABk0H#CO$YRDe0zb<;HR5
zTa{L?Q;Ctv6PCC!`xYYPbmNDzw1f8ZwfY^3Bg2@XFu6>b(<xSzia6O490V3V9JL`v
zzg9riL%C9K)({m=D`0@ZGg|k=mea1cj}^56PYH5g68~Q=0Gxs9hYo>?bp*mvCxa0O
zNAVf4>TG2XEC@0wQ&G6zjaS~Bk5MaZP`L1^RmDU(!P<RG7yLozxBduNt2KwJ5*Tl~
zLYy+oqLUo^W*m~K1Rgy>dE%vC1M;moExwuwI|@mNioGj9JCdUz)=7^?U49!;IS;-(
zp1d&q@m2H~X00v%sr6>QHjbA~@5CqDi!4E#R32sQ;}^|@+HPz8RfzSCc{#)e)eCMu
zOF)ByXhnT5?F>>RB+y|-3NggkxOj*qo#fpyenL7(g^eJWP9gHuLEqF+r0WkDMy;Ws
z(8@s#B2>9?rKYh8Tf!o}r0!+#2pwGW8*xTtGO5lB41N042{yLE1w*XBH_<CP$-r|Z
z0~-Yk#gP3y3BgEbj0(<S4|<$(cOQoSj(RPELWWi!mr+NnG>n~k6?JQ<hEkK?eT#UH
zZ1HZuUqtQsJ~dDaWY~isd?j0>A=@-6Y{qUn{P>0)1gP2$(ym9`Y&e*8<8{pm#6sJ-
zJh*J$9|8+w3<HC50wolgi57`#qc1)i0=uZ*lb{)C(<^U${dMQKMIb_;o2a<sUI8Vp
z0dCN+M<pOOnkcf_L?5K~n3qhC9d3P6Ll8imO6dH_>E^8gCcsQR;P<aH&QZ#ADgtpV
zA<;m|qUOp0fi$A7B|8q@6ocqcIUL5S-H+%tDCB6l_}Vta70C{K)J!8`2_D4)<w>p=
zTi*2*y6R|zXsa@5%QbfBdd+17j{9rYZld(!OA8zwuYf5ag(d-^>P{@pKo6~@g+4qJ
z7bCt#mKIgz9s>Q4H@LNnUrz_753@afp+z2Rxr-;?HU}%?WJg)<ACF%fPR2<y(bcVG
z*AE+dleQaH2-6a?oeHcO*jhT%V=L?ubVVVi%e;XUtKzx>Yhpu_EZfQqN}22LsD$o8
zK@Xv4?l_W@e(@J5?cgw?)~!*t9*VxcSxdJ!Vw%8#qVjljHSFJ>l%itZUpo-?1+!6A
z<UUi3;bmkAk<7!gj2|}Y2KYE7Ve+*0wG`9<UA!%v0Igy1tigAe#b_?AdIWhh+RAP-
z-R-OcF>S5uxGzM@DYvd|2*IprWA5W~VWGKl{w#A9XQgaidEK2IalgM;DUg&wRhHh~
z6EQU>te5wK{W*poH3T(l*Q8hW%F^ro^cBd!)5EXPCgD>gjIWUWR#L&3ES9XBK|!po
zwyZ=-Cmz9?Y{`;jy}y)4{ak08Jy@KeFs<MGR+qPqKRVI2<KDB-W$tqe)yu#N)FXXZ
z`WX7hhC-6JRGzOM1~Q<x4HVR6;heXY(WBoFu@>=kVA6P^)UD@;z5|62V+o@ouJ07V
zneqMi%uLMP+z6mIXCy}Z6HW(?^Lz6ViGfL&4``mvUdDc!0AY)QEs}oH!&Xma{`-~k
z*?q@X)PuAt^cx)ca>M$19|dt@FgOU%c<Vd;Z_elDbjs&f9&7_pHYzW-vD;KRU5Jwr
z!s2DkLM3q2YwRl(A7!oPe1d_1bP^TllGVjJ^)k7=D08QJKFToVe(j<phB=H3^f02>
zRem5!52V$EL)<L7UX5bzyLzAeY6|baHgA)lr!yF;OE5S97ZOoOq2pT|=~b>ti)9_b
ziKl@npZ6>`BA5|fh>|Q!cj6;qni0cCoe56|W-rTB!`Nv0>?EFD+5=nS9n{gZrwIs7
zuRL0V#QClRljn+Za-0=WA>W>x%Skd}))oj!%#*&wz+rrkhdC06YRwWFZ3q7WD06=^
zF0%JK(r%=6z}wl@3s_TNS1mJR<YG;%I7ua;VD{jbA~y(azw0=Ww&8V7?{MiqtseFF
z%hRFJFMPFAVYeEi-L55=?IwqNEQAROkTFcZ^>kz#1sw9fn*QbU;-25)@Lx<;-vh#*
z=rD#;%jZIr4<T<)2~0WzR$GA~ydhrFDyBM3x9X`bJVe(b`!FsunuA?pp97ZK(;*oG
z&qO(Fx)hNM9MqSn-Q4~zc!gfnWNyliaqnDnQVpU!Vvkbj;RcJ(*eZA*b0A)lPM
zQb~_N+xdz5A!@~o;m7VgGLF552>lcrEy6kyC)id2p&L9<`!N~0CX5Su7P&F#<`i8z
z@)3>H94_YdgcFb8NS6-E!yiM#D-6~TvM`XHO7aQ6wTdOw9qTHg3qfatD223AlU+|o
z7-kclEs=-w+bRbcz8E6u|3&YD4_=B=o3?t|`&bQ?81zRYtV2gr(&{-SJip;XSnRV6
zuPS5m*ag?~`UvJRrfSf7lIcrFmCV+Txu3jy`}XZWbx{F<M6jB4dF(3683`juWK7S_
zc5XBT1bf*E9+w|ja|EL;8GOvo6X?;`Wm6eZ8%S6oybx4#3}b``mrRKAV<%KN=e6~)
zN@<jY?VvDwIs}8T6m5j@_*C5%6$FggZ0`p_Y)=#O@wLl8@N4$OW=&*ODQ70a@ZmDF
z#LZZ0>KWbQidVis$+3q5V|k8wCU53RLBCzv3w#LTML`U^Gs+?q^1FjAbZvv~)xEB;
zvLFcUmC1!5G;?zqYZ>!0T9`!!fs6rGL6~p}HS7gGO^#|lt3#t9Kp_Lzh$h>NenFs!
z0ODtpex0KGpfBQfj%Bqo(%sa6v*hl6F!2Pd1c2SJMvX0?+4^yst*Cv*#91IXw_R)2
zg1l}{IHRSxF|b)eK%m~tjVpE=n6_>BZveLnB$)Ad(u4l+YUGJCo82WxKT24Y+)HA8
z7CA+dQhvS~^yO#Yg}*@(T34YIjh3~-UkD0Fv1l^k8nmr*S)_j7a6Fl??m_kS^%E_-
zF*Ljn1h#oAqh`dk;;|UnEI4s7@Vmh66(#LZ34g*y(6~@aDKf`Os7qTgfX6|UhiYjK
zvn`zayU!dF=SFy;gpVPMPMVz5rLOWM(HLgSHLW%R!C?5qaj!G%SV}CJ897QMUwb>d
zx$!9znzc<_9CJ&-!G1FGV6u4tLtw#>!=Zqv-B}{ob-H0>0Wh6sX0)^S$rkREFw!ww
z9%_FW#xA3*#R)PewB}dQ#ufl7sOrTR4aMpSJADyEy1FFtwY9a=Z4Lb;4l(y%qSI4a
zsaO%E7mpOIP(n$OX*RW?)+oQGbV3jk6)kyGv15=`tge)br<Ag@#%zOLIeNDWXaH={
zS0m9;WcyWeHG9xyAb1y{5<SjNMqMA8b*3fULbyzBGc?w+LKMwh@!|4nUV$mDvp#E*
z3~L~rd+uw?59nN3xXtWJ8V;kVxpFXb1%gOID66b~D$(X^0R?B{`r4Xt+j_u#vx<Em
zudx5tQ5lGm#qamRpISvH@yBkzX?qy9^}#uH--m|>&>X(*A@Y_p%`9cKg`iIhG!k!~
zAx0Ng6swPE`3yMHsDvJ(bzjX-E0;uN`qkIZ3%JPOqupTwq{+vl<D-KzeWhEE7_HP&
z)k9I&pmgBkW6kARnP^+DEcegv7ANF29lN>5tBK!Mcy^FX-B2=q;DR__FPO?yRa8{G
z;TaZXWEt@{elb@(Rip5RQaSL698{r7_0fWI=!`szLX$U$wH~G<fP<n%bQ>seVPT4K
zMT=E+H>a=3H>(mvtG`a8vNsYh>rm>{p%SNrqod6(jANiWV-7LM3fYVEV++6#Z?B$D
zwyEAAUyl<e&^7|o=YB)KkMG{R+dkVHPESt<#kIr|FNiwM(R>i}bzw3q`tYl*mqmAj
zVI}xQ-?W)njhzqFP=uA_@#47{6npT0`|~tjd&6V$G4LNo42?l}xhS3qjNnz&B36U_
za&B@2<3jer$UF$bxF3|Ol^>v0i*-$O5J&+{?Lt#_g3KOsDCV}ddmE_hyOnvGF(K}Q
z1{RF`92V#`OoH%u^U#TpS!K%mYuQn>>8cc-T9OOGoMrlukPS&l9;>Pq9s!-}J^qOK
z%gd|<@kx(52IfNa+MRy$srp(59qR;5xggnZB0>bCw43I1D2=&?OHOMCp8oHu_SXyj
zAy7eIYbV+)7pkUCyw+$NTKZ%$EJMrjI=~eJsA|6G0jGp65aC4N{Lq78YQ~tqG?%$B
zD?3|wpyJ14_FlvsR|=Ej%apwYmS`nuEA0{B>H_w@IY)m!Ph<`+D|4{1u}R?MUG}l(
zE-iDAB5@3j*tXTxRbqnbu^@C1&ElvDA4-b~NK1cym%<uJ8H3>*OK-4KBHpd^k!mH^
zGmlXj9?_tti_=$Y_xy=~R%v4xYj*php~Nr@++g9<-m(|@x?#<n22f}Z<xYPrsceV^
zxqSTGCoV2tj0NFF<x00`EPOUJxVl{{dPbdGMOq6*vmT*>)^=AQ>f~3{OUaY|F3i(x
zaP`^7+5xsx<+oB$Sot``hQ0eRlHM=i1h1=9z1X8SS_P!<{ox(w;7{fs)_$|Ez+}v%
zDYJ?WW{m6Fg&1{FyI6jVtGDu5c1+tze*dY&<}yShGQi2hlVfsJhsF90j+b^I+tfGG
z@cN(*hw6$oQhOg^r(=tdrDbvVE(!ghzW;4HU&ND@8mLxrj?TV#bEv-)A|yr;gxR}T
z*2j?>o$vdK-Rq~jONXw2Qdp>hT;)}Ou2?ABYUe;1n>-~NL?~0I>4$NhBJz@Gi8{aX
z(UXr|(P+9edtB@+kBC=hEO>it3FJuV2ppe0WmVfNisl=TY*WXdyf_vG4Hl?S3X*IL
zh|wK=C4JxFDc4<{%l`XunQeBy2wDoIwsq5t)sAK%MiNvhi%R|ms{($k!^KH=U_Pn#
ze2u!)e>L=B0OvK030wK`jMFP$-`k(0>YGbTqHQZSx?UD9rPaEI@vSRGOzkn}^}PDc
z@5u;wRLEG&YtC<_fT1v8Z?uXHo3XwA{mad2tT(kxyKiDyXD|KvSWjSyKACz^y!!-Q
zWbHjU=R=F*z8EsyltS9Q5{qpy$g*qrmo%)`uA|HyPKnhI<q~0jsd^n;!`T}7$sO_f
zZEdW+m94FuoE)p){^G5Ds~fO7T>VAi>(z#&j6C-HiKKKpn%%8PtdpMD|0iXhFfmPf
zK&~G<cFVaveZ5~jLN--0U@F|Ssyfxt+$jHKb{HS<Vl4)HqQSM#Bny=A|5f7w1|f<~
z!dN81a-W9Y*mK(pQZDY7OM6YUm{w!5I!(2n34PR8@JU{r68p}mGRTUK?TV?r?9d2!
zEAuDUn88nUbrIxfPk=IBqaj3FNGyx?L~bj(1Y<ePi*;NXH5Z??kvuhhL6>^af;gxW
z?%ZxKAdpE7RjMmXS#*k{8YVl(*75S*Q4wIJkuyQ`x_?yCa;peXz8HR!@^M*$i5y?w
z$u&s3Y=ROL@!u4n%^dn&^lbu;Mi2`8+W=EMG9^kU;=jdiB@^*N?<!DQoiV1D^ZhpU
zk+FrZ(Nv|Sp~3U&P}k}i_)XOvKQNAiNcpBM1|gF3)qn$dW+}@hrXOk8g^kA@Ia8RY
z2~rZ8h}nzfeoNM!T>(r=fs01_i)UC3Q!6S7JHO7h5q6d6B&-irv<vaImB$xjYV&F7
zD_@7g;Li8I45#Bq`i3M2NIniskH8{O4jF<wq3CB2WDuM;GSuLOa8To7HX$Y{;POMj
zKlP?XXQMOct|bSQ&zTt+t+V&eva|pDf5btQtR4Y-%7D+(QMg9iLdBezA{d9?(4c3B
zfN{Iu!Ha)3_3^2F2F#e^e)xnKT?n5opjSxybaIXYKI62Vb+p?=vP}fS@hxswm%kG?
zGkxLQ5x|<vwfT<sfTTbTC7#D>v9H_{u0!7X`T_m#)aY3zrmI!7Q*MdDq#1m5C|_ba
z2!31w!DFyk%r6E8Q#ij-TF<c`moIWN-Y+nxGa2A!pwRe~&*51slB_uy!U=<F7WRAs
zDhs3`f#N<H1>4M^ao(mdrogx_jIl;#XnIYYUmiesSe-1_H`dYVznK}p7KU=d+Rx3^
z)#L3)|9*XN4!VB!-|SW;Li4`bxCQ8|>`(I7mz3St^$UMaMm5VxLG#WwsYQH4(&xe(
zWc`hcvdt4<Y-qYh&BriAo?cthu<;NN18~&YBEKT#`Kg{lXfhUxe+Wb8)Cb%iCnLzb
z1Ux|&1ViME@x6PPFZZ0Afb~ICUK*ZbvAwu}z{Rt}29qfF<@K6}%XFEM*1K|Qh+%pU
zUEO>9s1R4O5k4tzT-L~6T9Fi8bUrs~*Z9{l3yuqhwEbfRUv1T%r@W^t8XP?*faAkZ
zImwE)dGUBoeyHF_TPEPW^A;cRP~}Dgf`>pA-WmfR1)Ucwx0U(Rd<pdn@}H$vTZWTP
zknR|jq3f1&d&wa8I26*<6bl!5A_q2TLCJSlN}=izvEU2LFV~$n4;FlQ2m%hHz#*(x
zvPJ^ZdiV8T>40zVs8*>2G95kIjO^ce-Ogl>H6B0CrepIcJeR=&QZC2l!H*~XZfX{s
zotywcM*7!;SLa2rV$)qAd89hYM8--`1R3{_^X2(tFx>>jcZ$d$aYLDRV923vH`Yue
z|2p*+t(W?|li*QLX;kL+{JidUU-O({TYEdmLAQURGWQq5$b{<!IQ%vPcFw`~05TD?
zpLk=f=t5j~WB4S+ptQbKfM~lm&r&^bALU0Q36I2fwIkVIKQ8&E)v9(RH6L!gxjSKK
z+SdG>uiiD(6+Pdb-x=t{`{F!=AOrLJj3fTI%M+86IihY~|B2OlTk<_#>RYB9U+6Ye
zm8+soy%8O)8!lCzS5hd*lR<@RVx`zkE^wOp6)3)0Xbp^^uCLk73}2p3R$`8%f7G@4
zM$QwsB?HL;T&itcKP8Jn^rPK}UT+%Pz%p`2$6Kn&t09K>zt0~1JIe&CHBZCuhgygV
z30<W$weNz@J<6%D_;;!C?=se_-OAaS8?P52Fu&(C{>&j!?C-c=v&3KH5CC4uKd*PA
zmzRR{rp>NffTeVdTnYklh&2*P=R{H-CR_RL27e<x*}&|^&)HcW>x}H(8CladgAc_S
z!+-KT=|I|+t6imhpJ?p&t6Kr(R==Hi#X7}+xZ@+{;0<eHWdf0H(IMe@@9R@eRJX3Y
zxS5je@k9V|_}8@~i-1+u(K>KXz}eS|P*O}cO)ptgQkS?bI5ajaaQ}e5m`{DTwRViE
zu-syQl8iE6jE0WGTG0p)&?howVO42!S*tmvqhqPuCb!-BMx0N{#uKpc36`)0I%}lN
zP3H}zUr!Jq0RX1F-49hUMKos3>R9H4axsQ~Rzlv;Da*lWyHVhD6w1OO43P@Ck3Lt@
zi|a5fP~|&`e>H7<>9!L3kXAys-1C#848L||SUl_d$pW`ENzZRn)>^l~?ondD>L*^V
zx%rl8NFDjB=n;g?+t0M`5JiF8wyd}EX=3A5#61u#gesF?ROldN!P6v`%s?RBxkHnn
zwYvezKM4sxqt6ZxAaf570dNivtsF1zaJl2ur;<V1z!#Yj>@aza8L;maun(kftLGgs
z?^8DeejnJd>;y~?u-{?!7ntwdf+efH+sB|g;Q8Id<A0!P27?322q2vZf!#)=6eE&F
z^!cjN<?-vox#v0GILvNFz+Q+2lx97GRKEB(6)x3KTYIMX?ox3wkB<njQ~v$+`+V&u
z2bQP5Jcs3=OT&=Z@IJvbV9p=R79%Ni|4xEA%>In@N0CitiOrr|=X^DpXaPHA-hO^Y
zw%fj5;gu*>SaAeFlI2n64#pGC*4?xVy{Fbky44vSE@1SlO}7lHVIP}lv3GxeGo*UG
zt8wOMz$q3Uy<I}@fMK>Qudjc=E1)tk`z`^Qlb}Ma?s2OySvfQ`Lf^RbI!=~BM%}h%
zF(5B;_wwM%*B~V@+DWjNzkT5#A|WUYS7MZ^x3RIY_|@U>-~Pn%-`tZcqa0|Bxt*BH
zKf21BJf{v_Sb1WrWUM+wh6O`FvRhEUDaq7pWt1_QJ|BBr)P<F>A@hc?|Hsx_Kt=V1
zeWQoc0a1r^NEt*zLb_2Lx<k4V7(%+c1f-=Kl$P!WK|m0YkQ9)RZcsvz@Z0nM-gn)*
z?z%3Q%cUY`&ffdkPy8bPb_x<UMQFwN`Hja`PWm$0YY{Nw2f_?*Cm*&ruMdI@k;68b
zKZC0Qr?F9|P)3$1g3a>eJxjma7m|3Ti0h;+zL$doWB7J-vSw4t`DnwY1jkZcg@l5|
zE!DA7g|ad+P1}Le$E7)6nlwMu@KU)6)BL;t(XRgspkoYWno%h)R2$F_jo}Ti$6$t-
z`@#!gwXQKxpZu>|-&<Tj!qrq|)bTgQ!FLtNkG#FwvpnqlcfI@jzc`9PfPr}(2Ic$r
z?_UgAh*i7N*1;hFK+r&~rs96-he07d1*Bd87Q}E&I1!2~XK(!W%)s@J*$JKhE;|1K
zIFkclv{+aa&hKAi(5fz1f=1{|x@ZvRX{05A-;7tz@p;|tm)P{E&m*E)EPk_TAmoVZ
zYJO8l<p47@HU4R-*bxF5<wx!*h=K$g(MlG+q+gDkTYw4+QnU&!pPw^de}V$?9dqQZ
zdmN(9UQNa&L{hnH2{`1DSn?@*kKP-M9eN1UDA1|W|0?Jb0V6LTHl!~xOe}}zF)yTZ
z;ra2*zcawe#XNtuUuNXKL@DE!YS3I^&hh@{qJHv(u;-&m*B*!c8J3AP$3X3x%_tC`
zP<Xu;GK>Ymv*Us|b0<-OZd*FCCTMY7G=FmZ+M{<|j*M(jh-z4ExMV#4bC%*H_2<u@
zgUaGB!`Tl<LFzjc4N;a=W$&3H9T!tHNM31i?xepXVuefy4ZlhAU~>kd<bgA&eRD@*
zbT%vny(7;OC`aEh-YO;{vTLa(b{{}a>EpiM{(6C1lEDqi9M?8w4AJs1j2*MOPftr!
zFx-^O%+B-7rjC8P#25hn`i%kh8o_>Iz@Rgaj~2IG{V$pVF4D8MPQe#30d(O&C(+M*
zz|{pt?@uwnvY?x^e=x{}`=wkLM!#EUuBMEyrq%?s<hRRkF022mS3O<>=*XHEZI)Pv
z&U!)>S=MeKg-D(E!52y(EoX{YJgNldmW_?luY#QUnTI%s;v+&F^)l&PV^s;bwpPD`
zgo%fT=kXs4Q29FdegOezettexOQ8HycI`-bd3v}B@hYHjlCCEPyL=G^z#MKUAA%xg
z$d=kU*reP+dTzdv$ILhp3#EOkh?=S)#A;?6DjwF?l2_sm0pcGgCk-n<fch6udeEJn
zxZ^_bh#aDpn}<KdW^oOqOs}k9zeyNf#63dE68MY`C6(r~rX%}&yPNj*AV9k57gecv
z(=!7H3fd<)(MXnv;)f5_CL#huUr=DbtH*<^>Y<Or*>$p0<EUL=b_f_I>WE;v_fs}1
zS3;hna|Ol`4rCoT&^wc^-HV)@wpupK;ll7<!4D}lsLN3hH}EyBw^hK~(SYk?=m-PG
z{=0Sc`WJ>8J@YR-9J7{y(gI9RE_?XVOI6o9ReyhkY<B-wBzq7OVG`r>x*3^661Pos
z$m|mjw1<t2lhe;I0f42A^>DYzf5J&uS06^i5bqd^RmNPY%8XTSY=()P=K!b6FUOF=
zOh9}?;s%{GJ2eqL5{f6n$AywDN(#i?A;Ffbnz0xiO<kd21Qdvm2=OdOWe%ro5O02;
zt+NEypMgeIOo}CucK3L77r%Y=+D}tyZ+H^Q99enyv`Uj9UOBWp5K%U8)=H0Sbt7qZ
z@LhDM3mtqc9>-CyS-ciWx+fpb|D87oZmTZP-2R+lKr5rji5f>-Hw7rZA|8Znoq9v!
z0;iISwY#k3(ZQjNSARlG)tw$t3Tq2HO|ZSF?M8>6O6TV$Wn_)`7%BNH5asNp#-wlY
zSN`~m!NX(tbCtlK_83DMzxd}55({V<1EZ{a@)Zas*?;4H3J9n(mL#G*eS08dxyW(z
z5j}Fjj5ZI-*@nX3Z<M!BJwQ)TdaeW{Uhwnt+g#cEm?>#n#1}AxI5K3BtaXbf7SRWq
zjzef;WFII@rE@kxPJ6G(`Q9i*AkH9uvzD$f{)L*MG3kO1eI9IRK!-X34<bkA-x-_a
zx(P8%yx$(Maoi#>1?=nFH(u41Ev(bjwZCS~H>sNJ`6|1i-;EZimx;p*v^2E$1AO?E
zjnC3N>3eW_QsP2)`nkLkrJO;wz6`3?418%yHuX^cR1G|0gcKVM{TeA82GLDQly1V`
zw#|X!zj_*U=(qP~>p<SU<o##-pYOjHRWl@LUv`E25LDivn*z}Go76-Wx*Wr*WFn>C
zlhKg5u5|djvBDS8Gs$Bz+V5ZZSXc7%@T`hB8gnKZ5xYM8{wPdFpRRj<M-FH~d2Wg<
zd7bV|-Su6@Spqp<+d^eSN;*^iN?+QQ*v(g1kZ3CPY36+-qaoSF)r-+~E)^%m!`CbS
zN-?jyVBq`6vfPbu2A(HQ-J8AUT9!Mu`7<;Edatx@rXK8<SJ*sfc`o;|pkbAnmRGO-
zsNne)_%iz{5Lw!}3aW3@OOobRM=;}m8pC@&HxfEq`LRX<&KyXDTr<!(ubI_@<EFZM
z*nTr5YOY>@Zq72h>SD>G;H+_)cZavc6}XNIvj;<X=p-OV4mJaHS;BE%gb!QK6*byC
zsxq$jXZdm8#nls@=64Y$p*Z>$^3~F;bdPmY;k}=On2FbIJ~k7dI>{B{vCwtXClwTY
zcZzT%tHwi{P*SLoOdkFosuiuPz4<<?)I|{Q3v15@mZ7jY9COx00BMd+FBiHG6DaF*
zv-XjIa+zERDAn#3paab&OcNwi8)tN^#3Rgu_QwqX9E|Zn;o>bb^$3Vxrglev!50-N
zC}REhm{ND-f3W}xE(7}+dslY>vjZ@)X#i9k1LrgDyxRD2AeY`M=ih(4mM+lOX83=@
zHj|Qf?OR(dYAk5Q|L@iZaFpw~h^y}FI_oJoca&I@;Qq9FUq%d%de3jqFSB2wF<8sy
zkb}acaq~(W9}=R!MyJ^-rG0W#t-*$ZsAY3L#anEPGgn6x#eM(zssa=hr`}@7zi;gA
z;$bk-d|PXrNat}q5jAp9@4-vBHU{lY^L0JhrT~T)0Qs3h!#N+5OnI2z1lG&CdmO`4
zK%VdIf~`K9zb|kyoV&<Au!oCN2rVv|ILIyes`utSG^5awwtEyM)dPHp{zsp|?p#J)
zp_40nMTV(?Gtv|Q1GliXB5oHi*EF`sQWS@sbAI~RHMfw9Mam`-F`2SDI8Z)`LnRz1
z9|^y$K1Eo2zP-U}^fOX)G~ddByBJba*~tOooSWC7-cOT28x=4r{41&k5|nkU&?s$L
zo_0%qz*T74RS*Jl4NyB^YP6bOV5m6XtJg8XXY<ML7EJJNT5lh%;ac2Z`40~uV$Hq8
zotQAJ#FvECr_OckKMq9fdwx`xmS$(uNXPS0%6U9qSg_x>ze`o&<Rh#?N#U5npFK?o
z*96eOx!GASMuktFU=S{oIH{|48Zzu%$gRAltjR{!sw0TRN>?97W~eq7&;n^?6H`-U
zWS(?BumvwZoi@X7LavmnKZ*ng1*JIs6%=gP5zBuQ+``j}SdLASoFcW73?WJW;8L@?
zQ?0Voas^N2+N+8NO%Ew2p>oNlNS6d$>{&jI*{_vkbG%9z_%g_0=65TqsvO*8AVFU5
z*Lt?MHrcQ_Vg9!6uGZf<1(?50-udVzcFPp8;l;^@L%S)@74BKP;VW|x-+<STQwg3l
zI7$6|HSQx5QrsYQ8+Xi)X;ALUmt<b}cHEPO;{u5Vb)(ACot2HV>$8Dx7aw2UbeM@?
z%>D&p*o*_)(68rj|4!ca!SElhw`89F#cX$sAc_A8C`8=(mS_3EW<SX2JSx+!y53*9
z-Ul3ps(;_!T<IXf!vA2((vqcL%dhT!*fl)NNKcPg#mLYCFmV7U%j+$Wj;!Q1C{Il0
zefv5?E0>-g9{w3=zpI)pIJ@my-tY!Eznvd%VyYPZrAuk24I(BBUfL<?p7b)-R<``S
za2Y?tHB-&$u&X&MQl01bLFOn*`}CMn88o*?Gp6+dNzju+)~`i;CfQ^+wayglU(zeY
z-5|%p4z1&P4kUP%fZi};c3L>7%R$Xmf{~g5a9s@96;pfx<^UNG1Qqc<*#fZj;^N|}
zsj_~mn{SiUfm7W=IqO4xBI>unK1HV;H}ycxCkP5omzJy_jxa{cM2}nT359-C8VnFT
zgwo7qdBvVga5Drxj6Mbh0H{o!dYhz#I<tKwUyFXo%Rs<Hz<P_gFBg(#gku{z^=yyx
z-p&)|l;X85&3pK|?#1I!qIcBJF&2`KN@T4n^eeRLcq$UM73OuD<`@1^2h$yWy~yUn
z7Y2NmlYcp)e|F63{#jZd^c%UIfVLxs@D$@V1AOxWsG)0&;t!_#Yd!=d{T^ShJT?Nb
zgfKCTy#^4LIAqH6=-4#`?TLRioqi4uhojefqo9yA`rPN)G-Sww{STv2gHa94Ill%*
zm&F0A0{*YkMY1uvRDd%2^sMI1)llc<5YRB<>&!|3GX~neG_5i|LI1;p^EwJALF&(?
zFM>kvNH>Jsy`OEz%ebn%df!(CXEN&nE@QExg{$hW$FcWZwz1={nhPQ9TWY;r*aSD0
zUq-x3e58t5)wc|CMK&v6X(mEha43_=1F^Iu??Bwe*grCYgg6EKfYN8?kc%R@gHOi8
zCHpBFmO{k|jhLG;(vExIYUp6W%jB$OSE^dt+8$wKLN8@w49Y`EU|+-uV?$CZmmvmi
z&E(B<29?r@?Y+G{P9gL6tDbMVBP|XXKz|^3Y!LP?fmBOt=gaor+uCX>RNoiyACC4B
zngnIhrMIO?@}37GaCuZXh9hJl^Vyifi*}J)M8JaYxV7;d)3w1UxL~CAmw?bpwx}1k
z(gcuG@%eH&pyK}vqknl@Bw&N*?d<pOzRN*3{WmQA(Wa(9K*9?qY(T_X@&rS4-{7;)
znE`9@$#6meD1|PbH8%Z+)Wv9kEd8xm^4`h5@4c0~bUD0azJc-n10^Cr%C|ZG=*GY$
zfjHQ|!K%x_TjNHcty9cJeFwPi1ORRa&{d`1X%sGdUPtw;K82UxMo#-?4};r??n|J;
z-1qcPj=4LOo;2&Y_6w8=S$FtjX*<1F7+A8;+Ky8na~O#VxSYz*EyT#+<TrfvR=+dz
zX23J&H@57=q>v?kbQ`&7Vx-(dlng37vLVUYz4W|PyTb;IOswDZeF3*9=(mF2P%D7P
zm~hh3KbvA-b!K=a4pJqh3Axe@mzFruQIHx82~IPAr0DOGl>8DR9?uyW$*aXJzg(04
z4{#j-+->WpL|sK!L2ap=egf_d6Y;<dZk~^6kc<{GuHYBBHWpi<2}Qcqv{W6xRbn|&
zX}_fovfCfaG3iL>p~j(wl)Tr!tKa`ow#?&x4JNZby#Rtqn1a1H;BT?RBA96e{ERZb
zYy(JL(7<E2(DetL!H54*0zrH%j-?g*iw&-Q_9Oc*WtWLSaqA6W7-EFC&XcQr*Hc8=
zH^mMyWX6Aspn$|MN3Z+9Vsx&MRXL9Qr|||<!G70U3IVw-5PReyPYfjy6H1#(_QAe~
zAW+PJvTfsgdY}-4K%5P81Ffq>p!m(81fu6_2HJS(@K2X{-*vQM-*)->di40QWkgJE
zyWd6IcqPyZ2DEl`cwPPU*u3}q4mJ0FNw3B>tFa%5c=Krh6_(?n;FSY_{5_WZgQsk`
zNQ#FLHc2hsh8D5%_T?Xg6HN2U+J~&HwAFcCKE>jmz<pyGm!duqiRXCFm5V89zG2Vi
zl_6wXZ5We*Jdw;BTEBy)HqcP03iypZknyOo4bNzVicGE_JCIDB*_OeOJ$6&?M?|BD
z<1&7fpWr5jK2>hJcc!EoKbUPEsHz^Q4BOMneUS5}R*P6;poVHB3cVM$8=s=-O$dby
zS=7{VY56HLiNG@XUQF3H5fKfP`d<BG8(sjz=+U3vVxw(Q-}zWhM!#F}{$07(3Hwj|
zrgF(2piMC=hf(^#<PDa@m>Hm$3Q%+C>kAX}K-WAXewhWAKvIch-l8fadu7#_G0gZ#
zGcT=iJ(;tzR35o=aIkVF%{~fs(NBj<I(U4yLbiy?&Fk;NAi`i-&QGgqaTXS3uU@}t
z)MLNj;RE(R5Se%e5B;7J?{X*brtZ{xYlsZ@S%nsf)E!90M~3@<XQhNJd(~rW20{mK
zJf!WiCj@0C??{?r1w{y|^>G>uXsU^V<?{oNznRu$kn#|^l}dJp26h8iGJ+5y%v*y7
zBqeQGA+H|cWA#B`2I1r<9<5iKGLu44BKVERX~Xq44|GHSfT>4?PT%5&i&8@-R%@h%
zIDH%x|NcfS1w1WKmxa$O)sX_4+*SG9^BZ({4j&@Ao&q+xlp1s4;-5Z&#iMbR%U%`m
z=5YKqaWIwJ@UW80!55Tf!3g$>tgN_g^bJ0<g1A>d|GcO(1PE!>aAFG~O2F|FOp`n$
zfhnRG77WWY)Kt7(Zk3kSSLA*DhW|0#G=BbomR3*@^jG^irjFZFNh%uPsN9$QRMWx$
zLstjvKWIK<&&!#f7e5&RDp#{p93`!{<^lz2f$JlZh>Wo|_vN;;MvW<lY)S$3@wZad
zX4Ub0AL^5f{I3!qtr<qUa3VA`A7bP@r)+>VFX3Zcq9A-M`Dw!MFstH7MxF#HE{L$D
z-PM3Bd^l6W3e6b!;nvNf$~dg9YDYEzPQ{jkn7?hmnBT??xxwgKSl?4PtB2svv}kGX
z*vzAlmaAnn8S8!aM*YX2w314s|1Irs8=!;-h9&;*4?lys<AMTb;M;O(&!gp!nKNQf
z{4WKeEHHshaS-)6+k18QN%Oze+e1i@Yc7zF00050i_Ne(e?C$0->c6W(3k=h>#dtT
zqNzQ(9Na&sC7q^r-qUMKeF%VK(WSGN;MQ?7zO0wsr5lCf@WQ-^VqWXLBkU<DVPRRP
zY10Ex4rRvEZ>D~9gE<8A@`k^&2H3!$8dKxs{G}Ud@$bCLY%n(WX7MJTZVChHwZ%-=
zx9ysEva;_iL%~?{&-iXr(4R&3`CE);D@?e$ocxjeTG-OTtHeZ;p*~p5k$f-gN057c
zV`@yZR-zP6RAg^gSYjqWvDHK2kDf?P(16?UDNo}5T4`@+l#zhr-M&HkvYO9y?%9-L
zqLza3_wNe<Gh)ZvCnqOB2^{!j9|nE=RB>C~E#(<cir|RE7p~aC*ca9{2>C~`!&CRj
z$$f*=M}1nn@NXP}(jRhkv3?GvxdMBNCZ|^z{xycN{dT4iWRt&=EI>n#yN@mp=;@>K
zsQTZ*wTm}rEH_`~KWlAEJafm2Ba(YW67t11{She^5J0Va!3k+u%V|)Zt%@rAb|0jp
z6wuFiZ!4e4#C}EB+`>A6Y2pB^M!*YB!Om$J#^UF3SlEHA1r&L#-HtofLo;Mj&m<Y>
z#Z99Jj(s(po@Io@e&v*qv$4YISB>X&W$)~GnWytjBQq;FP0=W0Foq?|-SigL7@6ht
z*|!6lW^X>FiGhmdS=(tFKBzfm@o|U?5MaCWx<_<WCSUF8gQ0IEF^zjFyG{~hLU^%s
zs*IXwVQ#&C5N8F9Q9#vlI^W1*H!_5k=GG0YE@Boqhvtot43IFqeS7E{1}qaKF`{`d
zo%=DGx_x~&R_^c^f8XQk8CNukj-daBK&zrLlfep5djV5YQQy~KLj1l17w3;0`<VWj
zjIw>ywBE~o67NvZ2*|nLmzJEI3`WGG#zR*`zq7V}U)(Ny*V?Gk#g;M5?wrqDdHZ62
zxFP+tEEoZgp7yG!91JetjU_;0%Rqrp28*^lIi4I#c!K|9nv>^S9<3t!QLm$TX&UE#
zL?rrq7l2%mq2hFWJOQ2>%>^!*$CWL-sl7ij6W5$Z--U+S9TbFVTYV?h;*^KNLy;>r
zQ^5m4<yOwj)3U@R^g(+sOu5T+daB=1o&`qV7QTwdDtnpbc60rp8e5WXBD^U{Jx1D$
zcoa-)Y2N^sg<3DGl8Pa<oZE^$J7|U2U6Wl^x;F7#;$RC-0RfMpp^}+hHB!DFE)%Z$
zR>w#PSCvhvRPljEbSX$@Gl%u1m&2Q@t2xEQ#HjCBqQL{@$-Xos{X}FI0tX$+R%FhC
z2hjI4+<%DZRd&uREp0t7tYyOzXK@?ax@rKM79#|5@UIytZ)4czUN4Kl=l4q#R-Elw
zx|@bB$4|$1ay^Ux-fAzlF#R#Qgd5q<9Hvf|ZEYG&`9>s@YKB}GJ=Uk10&X1#bmjXg
z3;sK4WF(MQcr9D9%awOGs&^Ka4yg$WwAIxl6iLu9=oMRg7eBoL0)x?t;0K_;3!D%-
z7T=1#ky4wq<!5S`czd>=nBgdU2lS~R@kDNCh?pWUf(Rb?kt?h_G?>xB9E~MfcpO}S
zqf0zTTr=pJ?t)e0T$t!%Kh7gAna7))oX}rH{)j)n#Ig8o;;ni93_K!OwT&Z}8d`O&
zQQhZ}mI>cCZ)Tm)XR!XF-oyoyL<aDNzYkNzhjbSWLY&y#FDPGkx!OMQoBQZeaeDiB
z{_Q!nKX}}3qhPGdf`cuF`0E>qF)CVVCxA_j=_H;7i2D7l$G{$ZIHqT2>Rxxg)v2?3
z)UI^}QxBwjJYDMCFhwh;nfuP)coPqsPA!L@|1M3ok-pjp7j#Q<S<AyiP%M#8PkzvL
z3<n#{|BShuicep&f+LG3@Er~uJH(s@*8-VQ;oi2d4G@%vp-dPMm_K7w#}Zp4JrcK-
zFg=X|amG|jQYYRg_x=uCp)8)_9lfb8XRQTp3RM2JkC@e+Ku(0Gu;%6J!Xs=G_AbFY
zWC-R5)nwJ>O_B0v9v;Gc43nTCMmNTh@v&5dD#Z+y8=@Yh-ar>g&sM#|I^|s}GdKVj
zCK78EQci?nrO^aJC9|3kpqu#}mV#nv1l%vcvYG(`K*A&oub#D0Fqnb5FzU*ddK+Gg
zLlG{(b5d>@@51xs$=5rtoGdD}&~cWhwP_S5-!i^`dlY+Ipf;I!`rtR4fu1xSIWd;2
zW+VTMK&rATsiqtynb3wVOM!KL7M#sue7-CpWGDek6=uu(idlK$B<xcRz|R<6!fPhB
z*@)N=_XsouDH<%%lJv6J&x7X5NFkYV3gQQ4_;8569=BO*QlFd31Rg;gT?5lYBoJ}E
zVJS6L)2XDRMDRKP2tJsR)Y7!DX3m$?@{)*=Elzyl#$h$JoBU4QQphHDm#CV={od>%
z&s&UXGK;rtaZwTD?9F=uGJ)8tNRn^1)*PU(04nPzSc}K)mYX1b`S<zFr7R*0<msza
zOP<G>OTJeMm?9VJzvgtdbvih1Ou8vp;wxDuAAUSUhQ#icH|&vB>?_gLVkegrlqC2E
zjM;3;2?Ma!d}eenN{1!?C-Zwnei7q!-R}#@Y6kf6GZPz&BPUa2u6OEF<XM;1VMs}M
zzt&6R0PqlPUx6s6r>Jz(f;e~NLuLtjtt<e1d)>`qF3HWHkdV05!J#Cf-D`#KP0cvR
z?POmFDagvFlP(y%laYpCw}>I<aWevJ?Z5#j1k11%&t3e6IWWHIp4w>M;_t~uSJ*TG
zP=lmg0viX%6E_+kNJmEpcup!c^{;XfAzvWE_T7EFz2{^OL5lnG@ki*1Tmq;b_c6K$
zPk@xP@%=7P_g!~h?{-4V7*$W2ms#M2P$iaRCTyovZJ4UwKM|2C(qpGby&TX(^RN7~
zJREt&R<_d<6fo*M)AabtJM$oCdpjow4@P{iez~|A`A`F&(qbTw3;6=2@j@y>T1l6U
zoTZQ$S4obu(Bu)b96<?zBz|-_9X;&JNgvw+Pe;d9$Hk)I=&y@aA-j1V@rj8ZPUk0|
z?w_=5F8Ul~R?htPNjXFo?KY05hgO)u5?!q$s+q@cKTgMHVH>K=Mt9dn!MtEp`&#Wr
z4^1J62uZvu80E?`2YNGO5?E|Q-coOYhqA>3I4bP*>)SodsY9V?mqu~|aonJ!TIyL!
zVy^`Y?1pAqxpFh22Wkm7NF~H3VF{%8sislbeSx7##Cjj<m8u=#FBaB2jnwW!Ib$zG
zIdO5uu;L&Bxal(Mhvs<By5NhSf<Qx}I7u(1;VgT8<)^18ZK^r}lC$rTy*BCkpDX*y
zm`flv5y*v!Sq`n+Mamo#0KIY7|L9fLF_38$0~IEfiaQRO)cL{;#TD8ydWJ7nH4s0h
z8&S9on0~`^jl+Z_E|pS2KbjioOp>%*3|~t(`qX$<l(l8BHiy#YH-97f`viN=mchnC
z{Bz7FzR{_9y9Ez5#3ai@^~Qt&2)O-C(K<)wW#z$;uU@@sbKl?D-KE;EA<5_p5mfY`
z_$j0`{(k=GSF3=DFiz2gh3AcU_9Ctb-rjVm4-47#XNIT__lV+KtsM~->xYz3D3}O|
zfWX`XA99}Bts#ZF8}|)3fSty4&7n8bP)Foqa^j1Nvwc`DMv7xsq=Uz_ppH=2D_PJ2
z`%gqf#3hlycSjuP@}&5wA;&pr54P0)(zVQX19EZ?Laxso{x!C>`2ekXbMv+B;<t;f
zZo8O$n|KUG=C${IYm9+A<0s2>)Z+)j;N-z@;xM2C3Wn1RN2i?C8A^3i<9?%#^SlIp
z^EraMN-@5vnFF6*a1kt%teB!+z4JLUDb+)_s!>zkF>_k@&1FW!Sa+U-7QT08w{v*-
zl;v(Eb7ZX=VGn|ahK7P-_CujZ{rn(>TIvs`dYI`Ktd}~H#4_U4MUU}PMp<rzheQjS
zFgy!h!xpE9q6<i|kzFtd3&_~e6^02xstaJaHsD49LCZ^nw88oOff_=aq*9pIP&CHV
z2k6?jl09>pO0TE1js51Vi?4t-=&IQpF);e6vlvRjh`i1i`Pgx%`-bY3GY`JhxAgfz
zfKtd<q`ATR$}?70oVnJvQ;(o0PP2>-LC?#r*rjtUR<sSpSxw^Rs%Z;+Jt;Q{hC@~_
z=&6~sjV5ub{+&n2|1;sqX8(PrfJ^*CRzS~ip%vcZsyF-=Y*Y^j^}ei(HFFsF38Hej
zo<23U;kGxA*Txrp&pjXE8jOqeEN%?GiA}`D_J~0?_#t_BuK|5;5JVTmmu)hT{urJ>
zUl{6?C~uQqG$ut=C;LJnZz<Zr^nhrZ`XILIasG!q=D{!#umdKPMU-fhVLP9IrHj`l
z_yynQ4fs0+uqRzSa;Cps7?>oulG>o4K0C$IkYAozA~AG?D><+8;d!c%V=0%?Z?;T|
zFmkDkq*>|Y{uf&GAF&?vEUUK?yOMvU8#BBo7ys0k(+H?S2#v-%$v>FyQ<LOsU%S%-
zPzJ?tl<a?sw2gNC_wN0EEQ|^d=}UK&P^J%JkS30U<hh2dkk8a*$A~0wtu@TzC-FnR
zC7=S=bb|5N%%p`=dc&P?xz?PiT??JW2*ZuB^5j@*VDP(*XAIsxKE~V@*?HxpxX(zX
zV8{txO_Z*MSvEHoaB>-Bk(sFf@#BZCyx6FIR?Z&j_*X8Xu-47cpOPYp3KuR3Jk(O*
zJjf0$;pe;Cn>9L1-3IDlSbTd#4CRJg`T57-13X0`46cU=1_Fur){XjMo6br%QSzBL
zI&@IzTeG%jYfsw1w~0_?CIt?D^`AmR-_6EyXQ;$maW13^%T_xfn6RYi!$fiE(c4AV
zlwm&vWAAgna)zpTSv=nZ+`J-%I_DebfMyY8>r^`cY0PxFlPz@ijzYS<sY!cyNn^TF
ztBfq_6CF(WDSZfWgrthfn;jf={z!slGAT7>x*kqxX=#8C0ox~%e(5(T6#VXw(kjAe
zdlPv&KHKxN6$drL6zkFl8q{@p2x{$a3Qxqse{n{{*qTNE(9_%z?m=MDg%sd+$<p`Y
zCnL-PWqBa83ErvQqCDo#GVXLm;p|wTCqf<qM})G7*-B-H?sAviM8QTLB6(@wWEKq|
zCV1J?71ibK<`+A^Q69*>HkE~ODUl!xcD?E2KcnkH;K-2O)@N|nK4rW4Cj%;FS;7TL
zKt^%OhAbtgj+2KgHBc{$|6a{%)(5ZSjoV)esyz-DF%>1IQv{|VQJ-F5h6-PJ{_TNo
zc<m5}&w$JExo@F5AW(s9<Ot~QAN7)`;68KwyImacEAegn$+&{?Ryiiy!05jnCBD7v
zb;`1vZ}bCtng71^KWS7`Qa2(e>jDNQSvuK^zdc2t2ncLmJPGiBM9;h7vvB-+x1>IC
zc!sTwOvQu+uMjSUp3g;Gq?sUnOV5)M6#0`eOhf7@8(2t@z{D)6r6LcakQf;OCo+Ij
z>X74oUUz1?$o+41LR23mKO&E6w9^NQ*e`@-V5ZSTwFOB)g3Rm-0^qyV2f-LXk?}b*
zslm+t?rPGw4qK7++*j>BgvXh`&-#6Np(zkwZ5m3+-qO@kQ^{nb@Kqzr3kx^V@VO6u
zB85~WzJ@^C8OWh`+RX!vc*`uOK2Xww-UhH|zI(9PanU$$uRla~0Pa5w`XXHsJyU6j
z5wU!F{l_BJ@a$wlWyy0jMn>Bocs>CWOdAM6N%_m~->l`^j-Apn@_Y9>PYNH~nItCh
z30u^TVO|-r;HD|Uoj=GJXyIs<X{P0D#RfB2)-Ws9R(I;nxgMQsIDP%qk#u;fsUUG&
z_p`C*c7EY52Xg9zf5A4O!nIb`Z4dC?dfnk3H=yZrv1=$6Z3DsNB0{4TeXJdullQrw
zl_DQVsrheO)Xk!D;bFO^2ym|_%RfvU0M~oeCm1r!bj`U1l{+>u!Nbj63*vQ95LOQ-
z*sD+8suWN3M=z3DEEFVx7F6}gcXV9~H9)6eGg}$OdcXLQ4y20InlAF6{>_)U?^i!%
zqokxH_Oq7+yb>V%HX0Td_Mf^w&@+A6(!KQWYRMR=T!C^QBW-YYxD+sB=%FT$k%Oi_
zJ^}J9e@n|MAEgeFkdT19hos3k;Og|#3n!e+g7WzP&L_V#*ryp8bHFdUx3_n(!-t8H
z5vZOrT`+F8>#)^s4;VFBoaZDZm=QvfgA7p#?EM73`MLsPGrb6FVPx-@^{Zk19?3^e
zed(D34zYPKh&N7-oZ`dGXLrpuA1cFzcvDBEm&NMIs5ew9oYCC|+8n7-dB8tq7~tT(
zeEBju3Phk2FEJE4+xL?6@$!YOt*r(#F?q5uWZ_ztPfowkeFWmq75Jb$BZ6jNYfy=}
z>8iz+BsOp;r-f?&Ud9nm-M|T46{K=&W36mn0kY;idNnHhV0&BvI28>v-E4UVW^^CU
z8micTn;W{%T4)=2J%kLvi;&TNa<Nwjd{3(SUT{I;Fh3x$0mgeWq*9oZeS=?4_W@t1
zks9f`Cq5F5MgyL~L}F`_1}wJb_0R6ljbPzGJV4h0%EBJH$Ac20i#RY_xpKML_`g_y
z2e$G-1@#X%O}qAV$`)2MUQ(a~f0mQUBxU5A={MTuCb=^%;D=n%y-S<>a5wO~Cw;Xo
zt~xe$T<E#PutuK>10Vrs4i_aQRD8~|%-C37ekTvyH3tu)gMxyT{ST9S0z*;HW==nT
zd}cVKVl<I7lLbt%y2Sg#7qP@8vgo!>J~<@O!43e}i7Cf359mT&I|##aymv|(vizqs
zwJQi4v6gqh9s$b9_r2DL`kk~+y)Yrj`1}ECYp-sU_Wu2)CWoc}Uc`UFh`K5?6tCau
zX!4KAmOjdr04L-gQ$H1Aly1_BxA%Het|Kh_1~$dL+LRFv^W%;vm#`u=mUvwJt`e<b
zvMk?ciS%Qx^r866t@do>JW7eNu?>u8aHK_VZG(KN0U?_RJt;&)YZ~&Nlr+E4=KRQX
z!YFIBnwe2BfnKtiOK7p%)0i|SIvNq?<ouLFN-gPj5Z7Y8^>dEY-JP9ZqAKzw)_U~u
zvc(f+^dwS3UxhoJSMbi-Q)(04-Fy7mLCE$yUr!w!9;WeouU=BVP9WmGr=!U&EG!S`
z|4J$<Z{4PK%kET^exI1Yfj~>_|2ZPD3W%^N8%<@EJ2z<KJI^QVWNTO)Ex&y0?#51v
z6eP6$7+xgwlYvJGjj(5X(q`>asTPHQK=OzI_Z)lt^kD2hp_s(r4Mv5FqI>u?Y^>>u
z#3*VM*AzrI?M!SxMBpn8d%!#Crf3x@!yQSFs(5vA^I6)j8AE*XaE7SCFx~8LB9^*6
zJv~gDiRz?MLZEP|W!p7xLU~o}y2kpbr`Ec;{)=bgMSh%ncjpAO>25u49|QUwRqekp
z2*O6YdEy9Mr1`(=EBz*W!&Sk6TvZ)S6l`GK8AKl$mD8uf6%YCl@9J{*!}#QM^G|V)
z3e~LvH#Bj;cCLO~subKKGPGW}5J&q_w_Bq!I1HMjPSh+Gk)f>lzwcnj5%^ke1Xi<&
zC3D=0g@!nBIfl^_F`pJZxvSZttKq?cyz1M{%YH!$g}8yFmVyKu#f&MoKD*NuAkMxH
zeIIj}I~*oS2S=$x@F1>-y(`hOvyEn2`6=dK>iu`wv5-l3arz4?v{(rx`06y&fa*AZ
zT;*<xg%|crOLFeD!+pu9_}dG`K=tf)3kZA*>w>@++29BS0T+w&A<8Wd@+eTx=;?L~
z9U7R@2tD90kQ=1zXos%*fxU(0ljC%zx4yN<t10aIl`R_?oqwV_1<{P7pbClNXoYE=
z41=(Ad4S&&r=*f0gC40ubwluoZN1Df&K&vFsPh%n7bi~3_#(2li${hF6}Cpl9ZG6x
z_<osE&*06b-{d|^!h&o8qk^Z8J3Tt7R<D9zY2IFl0Vdoe-fHh;FN+0LTH}ak$v|ao
z=S1RJJU6?JMgKcz%!7R(-<{vgcDMT3GS=la%tQxuk+>qO^-(-ZF8Tak*%=wwfnc2F
zp?MB!g2uC`=r?cPf`pk>p{Tf+!VIyR&-A5}TS<L-%fdXj6NsWOULANmmN|qRm%D;6
zw?dZ7$ZTi8KYXi9Oal7G<qm{v8XdRK%dK$iUKSw)2q}@Rn|IyrXCQ;_xy)xuno9xS
zHCID{@+94c!QF;xb?F@KvZ<X@VaU90Ha?z+o!ljn#WpQNnq59I%PsFW3<=D(Y^HD7
zzL`va;CMpr0rKm}JnCW{Hhw|DaBmf3f(o(yFU^^=6C=t#C0aAPUvg(0W@|0-)p=Zt
zc7Y*8IUDeRPW<H;V-IwXHD8qjS<PDzcxs_tM9@+kBg@PBY3Lddl|V2rgkvLJze?Tn
z!vN_gi=Q-D43R^B&OtVT@wl-tsbY@&HJ58mNkenYCA9H1P8|w|PHgxV%1!0<waUq&
zn(W#v`t@oApNTV=ME7t4%XGDd;N1p6OBUKfUD7wGwN|wTZZ0k^5s`WOCNN$|94JVA
zOilS+egEL`J#YDzV6%P{>Rz4UcU~@Jub_LWR~Q^}C7uJB2&fio#<x$tebceu)ISZX
z%j>47{r$Uq*kKD)*c22(8zJkbLYrAG&@vDa{kN?WFvkK?mjBE+(CBIZc(4({=sz)g
z?HqChwU9fyGvKW5t(Y!YSgVREr=|sWeT+w%&q2#3016lv9|1wxznFRS%c_n>0}fCZ
zJ9L6RsPI2e@GMm{KsMOaG*{V*k$~k=%aZ@5Bb&(H!GsMNZk(GTgXg>LOWAwvxRUHc
zHwFY9Ugweq%M-0qW682e^fki?kvpwh=OyXRB~RM<;$<0#BfJ;LW4t9Ms^7iae)a)^
z?W%7ri2WT8?oo{mEt_K@vLPaX8tppi??+=6zI|h>b#ZAa0OjB`@Gun&SslDizRCd8
zxbJ`}E=m9M3(qKEhXS{m5u<~bP76S^95~QmKtzoWOHZCYU5coGifKwYe#B!c11Gq`
z4fh&gqM^W{$DO`H-ZvrC=i(=)C4jcj3{W_;wmAXU=THBBeWNVP1Cm^$3RlBXbe-q?
znMBe0k0sxd8)?+sY`l%nXWZ_`Nd|_Dg~}c=59nsq30g`L$Xgr8L+`D^tR~r!@IYM9
zwEyGJngS15%jApVQG%uAWcmFq`8(0MSEAk8?yjAmW2Zr4KYwNrBgNT#4sun2K6ee?
zg-@NQryN-1e6Ns6@`e14aB)oNO43Fk*8l_L9|jE$u5iDLGmr&g(BfCKfTvUG(eZNs
zUdvj7f<L%}F`A<H@85q+9tEJX|5scV=*KeEfKQ*xhfY%{1Q?^^5#Y{t`D^ISlh%NL
z*MM!64Nyj$gsY(WeXv&Pvscr<2q2(6ESbIbzP`Qy<pDYV{B&;##0{o4A+RXkax9i;
zG#FxM=1dk$7MR0AVPC)2=&+#?eE_Yqw)Ur}u%%%Bpm&oHdH1<&vC@RA`mBVQ-^r0}
zp4Nf}JMjp`W;}dYCog`;OzFN(R#`!vk&1DG)N7^r%9LBf!U+jnjD?agQxxU4t;=p>
zPEL*@V_kK1R}mv|)~CWQR0u+#gqF^HU)0Xb@+S-Cv^d)gY#t}eTX=hWgZ7Sjla%h8
z2IX82!+VgC)lxI4kr&!LI#+29(=sx=F@zVO>-QU@?-$mf1}>(l+eltsUX7|5g(3>v
zXUq?wUcv`&M>m~?SPEAK6*6BB8Buk^<yeRkAi?Bmw}t3W<S;qL#9^gZ70h!E^TJVr
zt4J^qLs@&YScPDvU_*l$l~bkLEfQHg&tUl2Y!7dAAuROS@8;sM-0s;rJTzwLUHzV(
zvsWJ%8(X;gQz?_bWXlk<&ZO&;4b#w*Y~|FUb?25#6dAwW+{sbTUCeO=OWFxm%x`H4
z+{`!l)G?2J2blzHaMGjU!CcZXWC+`RP&oM@!i*SaCS#K3QR+JxXv7V!Xs-ox*t(05
z(gfvHB%=-k5+<?YQ<9R%K80uLRyyTcS4n}LYm3mUKwG8pMiMUNe_$$Mgwrj^dfJ!h
zrO%uiaA-4=LV<2>p@0kytfhep#}siyh#n3IkC;~<srM4<1frSX75@XMh-R=4jovG(
zsEh*1_!A7350g=UmU;3k{*ABsE6Nh^C4*gv`yE5VC@WXj6R7ZG@1owLWY9zTiu(33
z#CD!mVEFplKSY(;lb?XZbj+4luHuEubb+2MZ!EkxV=b#TJR}GTK}_H*9T`A@%+btb
zY7D-{$71|qT*hDi=!c2Sf4+r;0xJ-aKou1S2gimPq~e&jn^XrvKY-vZbol(nC~X^p
zRQ|Dgg(~wUrX0dh;4p@DO-ue4()Fs~-+Khv%|CeX;J9%g=(!cd(I*X~K@{ieGc+`8
z_*yf5!a#&AhlDaTZV{!Z3#N16#=X}>OhJL5;_+V2e}FH|yh(&2>SKnjeAr}4*yvp(
zm=Z<pxtHC_Zzh!;gjV||J!yV$63R$RPx^y4D&}n#r!;)%Fa&oJCMWsx=T8ri!NiaX
zq--{vTQEx9!M8a6fHU7n#18zB&uL5%eINw^09-?D*fW*}J0Gv24(p6eemh~pYC$oU
zI<H`sRCPMsBxqTujKV66$defPl)P@v4!-g^^dWHq1tSmpAU!Lg0d$unw#Jaf&1)aG
zuttXvdJ$}i$ef9p&au4rq6S2q#1pyyyV%a{pEIo1ld7lf)-bMK*&z3AF*x`Ss9fv(
zDA^m}%P`0>8tn=2#{KVEXQap%g6fq%UMF@@q;__1V>pw<GHak|Ux#wRXnXrOfh9sV
zPc24(3WjV`yBU&kZjVk2jFW`2#Wvq-?NOOz*lV-eMf)k*WaZlk&AyM&t5~p)dhqoL
z_AC{i&Y*Y4h)}@#edGU@S4y`jl`G)a0MlCopLI{sYtRvCPHe+0y_XYcA{lT1R;{vX
zwtOK-K2YJ+vca}Rb<yKvk=FJiy6lhd+`e~l6MLvJ>qg3QCYm)HpMBm|M5}C8xiBUr
zUnbXtP1hj$eV=Q`tZmW6_DDx{64ysD7O_#_g~@c<0`3Y-m`?qH%MsX%DANY;mZVg`
zom1sV%`d^n6)%Lt_z;#6NgwIkW;quclenWlJrpl&>I`sJ@prN}HBm6>Ux}eipyMJ=
z>!mu?XxL*&5SOi;axJ-&_3~L@zAAPzlr+A6Xs#rGS3CyO+yRS`rKfQN^b(R%=?ZOu
zT%)%b3>zAA69a9KI^B@5pT_O#B}wuRx%j@4;K_{;edZ)AdltCE7Y0wx^RYI<4h*r;
z{(U)i^u^kek&=%MH(!r6esF3~t57*lm2UitdFD3tR%?yp`|K}tA>stY&d-BicRhod
zeV>)!z=i@fN&fuLN7felFYjzm<0J$(g6OFJVnoI5<>=Vtq4nHc(5`&5xq=D@@=N?;
zLI}^4%TsQ*(POKI@q4&Yp*dRg>-~x7c~eANji4;W%gLZ)^A5_LFgnkYHshf+x270Q
za@a+U<nJF8<IXQ6kJ;zzR(?t+izDz^39(0yVaN>YR*fE*Zi-v`TTCAh{QO0rj%kcm
zS!cP-xaBj`holu*Bl-sOQQ=n?zuSCr8bY>Ag9e18KTEt9ZfS}cz(O|K&IZG~5mgrY
zfQkZ4th+gr)H90G6&Xct%Q`kvcich>Zt4soqz9xs@-n9s8~d%<ZWH2#rL(hBR1`62
z(1kn<35#v9LLVzm5J4y_$EAX4cPoUN(b<hA4etxrPCHKJkOKA3=!u8DDg}b#{MlL$
zj{fJU|JSDbMforU4A|alm8lP|ck8f$X>*e(ui>NQZqDdii}yS`b2uIsvKOwmy@r=O
zJzYzjvJs_~fq`Q+jJ_4x&9yltqs9w39jynyI6vU1Qqhp0jy8*HR|H;u6^TL85uxx$
z9wFM?ZS5VK=O*5SimSJ}6S~m4=ug@`C*S#S7cv6>yJAwL^n5(A;?g=YcIr`uqP@Mj
zPmvLcda!h1kw^)l3GtGfH;CpD=LY|+xlqlo|7lUuf<$!IPR+>rQ6OmaH-x)<06Evv
z?@uS@Ss>wweHUYmV>aXV`t@rOs^S?NzUxa3B%#)g_2?S!j#vtkbl+-DhX(3`ub(;d
z?dE}p%Fz*LVdv@8qYy#IW%1ovV~XH=I_7}IM}PN6Uydd90>d+SEwc%-u%3ru1ZG!M
zce^w+<i=0j;(~$D^+wrV1{ATGvg|xZoOBFtrf}4Y3dSMx_#{+*js?{|zhf+9QECxc
zlek-Yc2_dXOc5>{VB(UiilC)68cM?Y@Aw*t*aJUQ?~d!5H-3tzzdAEYAS1P;nLI$H
zov!Pw#XG#^i#_z<$TW0ky(EGH1rp3yI6;pp2}*>!lLqSMEC;oSo7++y9}P)X&QnD}
zl34>00{vDliO)wzM}tm()JuRZg5uG2*Res<`UTXr;GQ&a(~C#ea@a3XBXWfEL*@t@
zT5*N91~&qZ@B1_*f8V`bZ8u#=+>=ztopoZ}++|9Ug9NumuaE|>em2~8Ua5dCx;0n=
z1$G`<?StBo^v9qN$n=3(QDWHcz#3@!RPI)7^#dY4I1yYZSoF^U`%gnIU>r93<x4x5
z%s$7uEKA4q^1Oykqo-{6uxlS5X;om4)^PTIvnbapD^zEJ#5?g1gIo>-@3<K5T*x);
zbN7Wt<HrjAE=^|GjLEqMs=zi4#1Xx}bhAw_55^pt^h^<v(llxndRs)%h4(hIHH10Y
zg#r+qdV^~Q5hp2$%<P}^hR5pLb?B#Ual^hUqtjXfMW3~NP9e9e>ZrDUpYm9;^{Zl$
z*bu*9aj;CI;m&>YFng~YT&rT9VT~{_WMQTbzq|^&o#CDp@f&lgOL-wb9Hz=Y>~}(#
zK_&=k@K4sAA00;5s%bz~V7vv~*02L{qhimSc!%>gPRt+BzR7z(YdcQ&e%c1t%y5Rn
ztbCRZmd@6T;#9f`#qiMM!Hy{1SjiofRfNxdnF2SnWYhq`fg^-4n3FKqNJZYCd7kw_
zN@WUnl*{p}o?+kItj7g5>y0!sI}Hadx`TOek~=0sG41pAj0wpHA3j}w{BZRg5hzRH
zk-;0e6G~gO%|OWBBt_8=GKQ>FSveGE6ogbPNf}_wug(nRQ+yDj-q>Li*7;vRqsr5(
z0B*lZGfWJ!atsN9l%5O-FqH%yK(&dbq}xuB!@H`Wwd1cwTC*+ZCw0)8?8*|71f-Ha
zy--Vvq<^tb7hOs=dMq6O^bYoy7KeU`1<t%c7#0+k1cNS~K)BC951)~V>G$3&4;PnO
z*%W1nRtRZKD|?z{T5eIM9aEhk6I_03uxS1laQw-wpbK4i&xN03eAio|M8s*yIl
z1vaXQyFns0R!G>7z7_W&xumG`^Vw^hQHN~r%FQE1dnXPxcAp3htF$y5Aw#NPb9m%h
z?~TT9+s&VS`0zpdSH2eJ=9~%FDsuyJG9`aKN$*~wL_RlNRl3JHsQmRgBYi96xE$yk
zbnngTPvAn74Jx!*TYmDWY`?Qv3{l<xiw!CqV>S)Er?sEF6(BS-F<A!c2P&YTOJ(&1
zCf6v~@Ru)87eGM^yY>Q`jqwu990o(52bLTMU0s2u2#~{I2v-;e?(G2j^@k-+2vGjH
zaQ3;nD(?B6rOBix0U@^)^~)p0RFhi~Aw#<K1n-Oz(_}dyI^JPtkEi3Oie5iwisj@$
zF@!7LV&G2wT1jO`U6rMRZaMnieslJ&JlQ?b335}D=6!cj7NQp!Ige7md)Cg)Jl2t<
zc%%4=PEq^?%R?vuyC7OfStPl{qSkv^4Jp6imnMa7vuL8mg((DuM2jf3O$oPqm8HsZ
zPDJ`v6;as93-zhX``Pw`k1==gUlpMo0wUHXRifJ9CZj$Fsbq-t===F+aNxY<`=m3-
zqaDBnp8h)@wd77WY;y;;jbhh-R#QQHdqU-@-)f9NWjTQN+`s&I|GUSMA2hbG&;fFL
zpj9Vw(2SWRKfMNw@C)#=ZbG*6jr%IsYbqZAy94A_p!3C?IqW{N02<+&0hqSf#bM`C
z<No#aHKqga?|=OflfizxiRq|f6zi8ISRUiksAz*NjA@%=hBzQom~k`SQU|HH$BbW8
zqSgOj`DvR5{0hNU<L7)RzD(oiiZqu}-1GFEbO7Ab3095N;jnF=Xs+<Q&-L_56ELMl
z%7x_dUlHsmeK9|UP}&Eu1l->tK^%e*Z>Cc5ls)6~cx(5WGUQZgQMSIIZL?i>nk0m9
zK}F$YK15wzFg{oi*XY6J;ebc&rAQQ5t+ft@8kH?@>))9;4gF!~US}jIild%45`fr!
z_U?5MRn%ibTl6-efMR~J0D07QEA5;9w$|3kH8D)A5+ds6%t`|%;qbQe!B-izkYSs>
z-+xEu02U$adu3e=HF6C@5w-_tj*$`W{}|tY-uz4BI>Yd}H{S+aJFjDY_Yaf=4WJ2t
zsbTy80ErM%BlY_kW!w(jWPY7r0wqw!#O=xN?Ow-VQ1V<w%xxpxva)p*%*2I6MSag^
zEgu(e`+*{#qvK>8Kt?p1o-5a%zUlghAz^_+%^4iT)N-%L8z583$`dZx@LjqIDNQ5{
ztd+7)*v^9r_){;E_v7rK1fi;?z@?;f{lZ?-TD~etUY6{i0gYESqLFY$27+71buHd*
z=aTs0rs`2lo{!9u$p!FepNtn<XP`-?-q-8w@02`LPk;~L!DwGj<K+@R=oVzsxfMLd
zDZINwA?*$S#zw#^HqN`^lcg#yd)H6Sx+Fjr`&&iIK_km1)WsWP-Rdxpnot~JMoLb=
zEX7{EvKax%A9!Y~XK*NRte5MJypn8OwlI|y;93D<(oD*Oogt34y?7bg7BIP}>b(BD
z9`0>pvjci)O?DTHK8J>jyhaoCz$57zQ?vfK8{i3yL@*AskG-nEjOc~t!2e8#uDWkM
zz67k93hY1H<H9(9iotLM{L$VedEe^K`1tsdoB?p_GQ}qWOKP$xAU>Lzg9`}@^9u-o
z(jE-;Q$1Xs!GNa;4PnoDNd#LTOCRq?ygqhCc@2-YR<o&E_CLQYo@W)}{)X$tp{MTh
zM&ItS`b6TsJik~aGDp+Hyxu0UP@O{lD`Az4C&AV5u=hxMd1`_pC;}e*QkaR9lO6@h
zMyR&yR-K#(rI&9vS|c)oin++u2VEb;)h5dl2P!s*iik>k;RY21Ro%ogCBl}>k9!$!
z+5cdnTBr}Q3wi$FL8IMcfgYzU?~VhnoFw&$dQZ{Hgq26&V-1FFeUVH#3VxnR^rSLk
zwBHpo68hdq4uK)-jy`ad1~1r&x;RngH_-A4O8RwqJZc=fm}=;~T?ou*?_yX)4Y)@T
zu$=&A*Z;tP+x4s;59)V<mP?9r=F&FRrqS70m!Oq*5BC`x`33N=`k8yz&uVHb1$=Kg
zE&&1U3a!~mNqJ5MSR6MZpz&G#VB`LW!>aE&p!&IU=MHUOv#^j+VQ0EdY?zGer~+5x
z-*I(4^*gx!>^Zojc*s118S1ahmPvJSs>TyN!#zdTHZHFTpX#}}vyrc6H8s<HIAltY
zMhK=Gw9i)0-65i<*Laaop2E7&q0IQ0NG{AGhKu3jFTeg+_S?4jdx#(H<5Lszg%$3%
z3f3qeW?|9A1v>^6t|f&b&ND_hi4f1_MFQGG;eae>!%La191}aerBk9oNlk6gvYP$h
zHNQKiTM#x|LlW{J_E}fhV{?6@cOPtBU6a%Y5t#r9uv=aSEvH-NU<HCR@As$YzL92&
z4jXot-o|sBu7icP$DlC;WCHW=YCcL%U2?a$nx^PFT<oBNFpjd9KY-gpSR+VcEV46(
z(G7Z`B@x3xmY*NEd=p&LakX-87i-Kn;P7yBW1j&N<{F*ygi#R8nIk#-QY^rD1jGlp
z8OwU9ksb6-T`$<@3I}Z+f$Zg;<wsE?p|RSQAGyd8FS`Rc%1ZNIdlIpkA_Elo!z)6X
zeKMv{NuosltBsJ3W6^dl4NgerY!)2@x6=EhYWRm-fyC|4oL7?L_6?83{DQ2RhNL(v
zx+3w43PZ6HV7G!o-kBoOv>v9vK)f^z1y{%jbg{Q*TQ@8De6>T3l!Q<L2Dee%vsT@I
z2M04Q8-irao20(m!|7_sq!cMZ@A_ef+0705c0_xO%B?O9fhP>Dr=+9^o2^2sRWn$a
z_qi?kOU7lvjBU=?0!S`^<LgSjImlXd3Bq72z*I=mKZ9XL9n%&1`BtaRq0XoZo<Ij)
zO6Vx(ce|woRX%9a`zOnXDyf{wTs!1>fZ473S?Kl0?Sa~&_2cto)0QG@fZ;ByB#HX8
z0~69v_%*e9<c11Q0$_%|BgeW~bD0}E6WgvH9!;i*>>TU+W)hdv_Z|A3fYDK!=d38*
zSn7uBs0;V3jmP~Hy2*&6!d_IbUTmf!p1UHz@uXS9kcrBE$KA;O>U-W7t1)^^x`sT7
z#&hiryGPOFxYP{f*da%IIy{N168i43u|*)8w*nw6G>J;g-5a#JMk$XADgK7R6`qqE
z7YPXqw_^PRNH|bK>xIGrAL&kyV=EUCqn|0YS7_Y3hTA(fX0zE;nZdMB<foNN!#1rH
z#}Sd$A4A!AKRv1cGo1q>L_E76zW#rPX)TmKPg%f*{C#rrWn_d_OtcX6|7z>!?Fiwk
zWo;c;;;G$mdd&AVa>mxrRkd=M|G>)^B=OXrAuLs$zeH<%ctmR_#X^onXcH3OcK9Is
zyhOvowOp7lXN{01A_aV&wuO!8rZykp-PJ5#<Wmn><BYrIX=Aq~VK|(kGq5YlHT+x#
zf|Y2B+(R$+j`afH(WV!t=8@8-CZEIyzmEsg)o06c*e(L7U+bY9s@=0YhN)ZWRj0?C
zb&Elz%Wu7kz9OcJyg2HH6Am&wJ^;1472L%c?dG?Gd1xR)3L3B@gGZaYiNP>AJnRru
zGy~<(0p{)<ycc$x>&X*;fJUoe1Bf1Uv}tr|+lI&f+$k^w{P$JnzTps_F>^DJ+53Nu
z<j!iTDyW;p$fITd7YkrkHQ_0j{ePJH>ZqvJHr`D-q(jL_2!kN4lyo_C!+=OjBNEcm
z5(7v`jx^FBQUU^kl%#}oBT|wBVgUl8_nq_IyVjlKUuP}Pf!TY%`+0t;9f{YqM2oB9
zA7l(D9O3Ju@Z|^B)LO8i4X8sOKbBZ%3elCgoLxt<Y%%^Z(m2>aVsOXg$&)8e{Jt1?
zsm~1C1`wGf4JctQ;~X(UkYwVNdvgFnT*P!Gap_sBC2xyg+o!3^nezw6Ue3ryv3&kp
zyB+sFGJLX-SAuh*-KKgwoSMur6!wTxltjA7T{96miPv^!tCw}Z?!J%<gQT)78k;+3
zXDr8jrP^~^-@VHyehlrjY4`RDpWTL|^8P03vi`SdC#nJa@A&w*^KxgiV29nvr^b(;
zS_B(6j+7n&s!a}*D*s2_#eR2h*}MWt0-7sbZFS|}-;?VYygHvT8`X*4rW*KZ{HT6u
zck@1gPfQWS@8<yVvGJgzUKdBXs_-*wj5BQz(3dsK?vGp}!HO|U0EE~AY6>@~VWB~9
z{;1HCM}5qZ7|{DC*Wvc=T}TG_Gv5RzB|Kvely7}wtSl_rxt@-aP2Qc(3VOe!rfNz=
z8f)Ag&34z<)7v{2|NOD{bG}yc(&xlxG_z1t=8CVc1gUs)jGE`Y$2t<0s6C|~3L^8i
z&pK7(mLp%}re=e0ZHZ~DQlR+Sb0ihZ-oD*jxbMgILgSw1pqa{LB?y5)m@HgF5~E=4
zid##gwjrTa&J_RMV{H}{Mh};o+<@)?arNp|R@UW4m$}u|)#&nC92h2lgLaau(Kg!y
zU<qmv?Yn3IDNtT{V4A<^Vf!nz{RcqC_|Pz8(mz1U^IwY{Q1Nf3>Xw~>aol6(*{IYu
z3-tElcnP#|<@;#@0V%$m2b}wK-z|pX&9{{ktIeDLZa?|EjqgMIck=J=3b1X?;7R0w
zCpW<IcJCVML(>5%`(--Z%L&KCWWA@l9~QaexPhXNgGR-`sZ+a0X!h+gX{nFBeF<1Y
zcm=P-7g<fo-E(OMtZ~bFQNI-QYwVh&?3>0EegR516#>GjdI1V5_ogBsJa3WIgE;#C
z{3WPywm&XNs@rOMCX|e^&$yCpNy7d7d-K40BOg^rVzSEs$5b5URFfMrl%FK5%=rbD
z(oToP&U<lGES&C_ZQ*|~h)#A{JK;MYa7Ot85$pk;`8rr?9vd5b+zm+7vnfUkkM~0l
zn?DD-G%Wl9Eyo^fQH%h2Ut6;oJsla*b|N`vef+7;;^z;*9|9``evf(rf>U<CepQ8q
z;ENr9ugBj4OdQ@0ijNooK?^eC;_2#~F9No%@^0cg9yg!gd$BWMWNhjLJpuAu0`Q~a
zYx`CJY7S&zpFe+QWLgXayzK0XBKU3_0l{-HQP(&4{r$Lk%V%>!vuR2Z>GVN+tFO1`
zPA(ykMm+SCJ+L1A`?;d&Tb_-sryYLw1xv7=?nzluN_Rv}-qs+!=8cv^mrYw~@{I_(
z<U75%nfgc}rfVrR6b+ZiwrRsWW^V_*{ycLqKsWPQo)gnm@_h86K_*4p%QtTxW+}>E
zdqg-*c0jxK%1=a55XFn)Z;ro*M_x9u9(YRj`?E)Ff6s9F{_C;qu+QJ3CH^b8T#w^7
zzALKp6CYQGH;sTfS{Ce?;HLBu$@=uhc}j)R@)y{)Ya2vbHzu`ixrs6T0|5efwp>bz
z3<93@OHdfx3pl5rfIPcau(O^VEM<Ij#P39*U%m5#2AyMvV#B^rj8q24PFd-mwH__6
zmoNj}QHwV>WD)$m51+L#=njD4TX!@AfOz4|P!G-Pm0%hXiIwla`zi)8pethsZpen}
z#WSIP=~x>v9rNMG))hw5Z_W#Agkam$g^t%3ygtMUdz3k!t36f`&Os_msUeDaiUvz=
zC?m<IWFvIvBHhKvq6E#0D`M?EX&TLW;$U{_<ac<ALE*5Sr$p8$$5qklvl`K}^YeQ(
z;Ymdgyu3uRSq`Z$rsLYqC<}X92M7H8e0`6Ok895D@Eij8V<n7Z3IB(WI(X(5114Ti
z6pV_BiU!5>tbg*?7cVJRR;@l;ptr}xe=fxy1-6?A_-#!RL8Tz>1pKGkf0M}Ek?(#A
z=YWX2h87FUn$yUNXEap{w}Q;*_n=P|5_YkrMrO)9!zki<nO~OtThTV-OOMjiQ|~|q
zPot7yHoP!(CKUq?XU?=N9v;JI!c7n5+sd2)kJf;`sjFi|l0*?+N-69I<0`gma${>x
zd4Ycqg1KSu%_!87wuUFp?nc2y#KgX|x))dS!w7jxYjEH;2Jxv(qL+KdeJuf5+FLIG
z$bo=6yqjREE1s|h`Zzd~dU$e-ho?`~!~@F9mpeZY2U*VT?qo{TahKubZ?M=w8YTO0
z>^!FmCfvD}beqh6(DAMZ@xJ$5(vbWZz^k>ZohxcdPH8P_OhIT>8TeiKv$Ot6lu!Xm
z=vBZCFE0}AwD^}z`TA^jiw{AXI(v#b@QC_&4H7EyJ!iUh?S&}i%1Mq|cDYUN@TN5X
zr^J70|J~)_dJr(TF&E-j52vN$c!9mdq6hBoqd>~UmGh#c*bain_W_>P$0zO`NE}lw
z4llbQB0z{C4kH!m3GnuMM3ENBe{3peCVPz=BZ*l|j}pF;9#srXhLCdfg1XZ|dRi_0
z)tM43OrM+PCByG5)#?b3>yExENC=au&O2oT4Ne!qJ*PynsrG_W%4Bw3tH+mh%hEPE
z!nDb48d;4ks*ux*O(9cdI>W<%?ds-tc3vKycN}W*-qvYwJNLgr|KHUC5b%Erp&v}N
z(Q6$c=WXp{2E25+2E3=gy#-NBu%H(bva)R=KelrLmil<*O`@mHluGdg??451P|5~?
z!2m-0@-twmDe2k(Q1Cu}Jmzhc&D8wvs(|1gqB(6>RpjpQmeSN{x>hba9F8Q0!%lI}
z<Tl(ZQ%3`S&rSH|z(f9e=<QJS@RUs+_>@^yY9jBz9J60Ia1ZzGueY(Dg$aMOPpiNd
zGlO|FrbJA~JAmaH(%y9TN77KGa=TUS94?Q9DUa-WmbR+f{(pDekTB~b2q<;Gf>KtX
zH2VVbED|?>z68A1^MSDCo`q+Wrq)ZIp~{aylK_5SE-4)K#U`wRKO(j49`}F~FDo;%
zIdvZ>>9ous0NqI?OZ9S>DZUz3U-M5aYcOHyKN<1<{6GwB*9QkWrRYj`u)22(3G^hM
z^;)H?t3DM%`84;vyy7xjvMLB<c><awikM_17X<Hz6xk^u+T@tm(fTZQ-KOYo(q(rw
zTefk9hjz-ZHtmaF94(SYK!pWXE_A87wq*LbF9gcaN=iz#)8&<IvIg|5vi{>g+idIJ
zTA1+AYnDy|D1VXZe@c+zYK5>2^ylE8A3@N=HsIS#|AGbjQ^?6OKKt>}+qG!C^Gg2f
z6|ktgQjYyxJZQS9{D{6vdYT~$c_S1d&h*SjdYRX?(d_Fws?F@{{oICb2;zjEaa5vT
z*}nq|UaXJp+UwD`YP;Hq<D(<|B9ozlhbp*eV*`3J^YU(A*?Obzh0<x>G_NyiEDGxA
zy%Q!}?>gpNk*utF=Qh-ZCREgrAVwkVg6+vdst(xaN{?P~ZFVT9M%#?I(4k(_r>{~L
z>NfomE2ww$F(!X`_iHUGPlwLY$%zbE=InQD^Itz&KVm!B$H(WcJnFwg5qos$+mn;W
zPaXq=((kWA{@CHC7SR-SP$B?a@7Q67IbQ|Ptqe3XcvzQt+6cTlH-IC3{+E4*wMSLE
zV4A=~9lfUdh35oq29=IXN4meLp<H1kF?HmNz8=v!|9E|^r{Uw3Uef1(ewAzh&}K>u
zls62Sj^o)X-A_$dNfI8GY;x{3I^GL6%zh|?L?TfvHdm5lYFyMO;`&Gk34~l0uXP6&
z=8Uo(BkD`{Ep){8vf&A6vZu;4gk9fo+><50n0+0WuxK5Ro5b5~bS!+ee4AbiCl|WZ
zeVZsyAlQ3y0m>5WMWlp;JZQ~d;vd_g%5mv?3wVGwZ|5RGbo4h~r(j$68)!oQf!xku
zAZ!QQ7?8yK1B8#T3qU3(;BIiW4+2cxY`icj<kRQ4&%dkIy|MDD7FRZBb#pCO34!Jn
zW^{Z<0)zB5L^WGAn0>|M7W~gLp5Oly3{nSeZHs0e5-3*wSB3LVh^-PUMwY$(C_CqX
zcXa8as&b=Ohc(PyQip@2KXbsg(a2FauX2lAtJMI<EYx)Psonut0)p<IA6ZvnX{A?|
z(IO~fqzR$aB-g~%X2v`xBcj7vTafu_B5*BFf(D}OQH0%QqVoLmxN+GX2m`%ZKzE*h
z_<igDy$UH3U6@<u+Q0g~dwiHUu)%*BiNQ;k@Q-`-qYzx0o_qi(&i=Cms;^1k0Ga3J
zZ=dMiO@s5nD4P#bm&F8or+qDv%H@vS8ZsHF*Og1`b18s03&JF0VaYX@1b$SIHa>js
z{EdA)b<pI7Vb1&pJW&5BkP86>-6L=kWx|+i_wb$0yG=-OZ2ixEdi664`PX)y<>7EI
zF5*~hxpSy=+Aldik{2@I+!=NBcSCLaHpq}m|6JojbvOr<Ie3+6)%{V=le~uPB_PC5
zp^RRg-s4_5p+OC38_)4Ff_{bhtIxn#aLR)$0ZBZSm0Hya01gL)NP#cuH}Ff7hJhu<
z{qC<0fh+O&VrZaSdM9%mTwY!2DY4xh6Bk=Oat_cx2_A&e1Rv-@sfc^?GxO?-iV8r#
z57)zxSajB?<V@T(;-@Mi<adVPY2$HG+0mRB*e>98qI#s`_l&ORnuCAlUK;1JC_MF~
zSCNL&QG|rh#s~k7E2KG&$73h%;8hD;PdXc!m_d75YaS0#0a}Q9CN6Db({1VJY1^lO
z?1mGmOLP&p-3Q`ro(fG+61BKVWQpKrMjfsvc=GA+R_~EQB~#7}TkYh7c7p4YW&miK
z!}Zywu<SmiLHQVeIPXx9l=P3t0rDXHeLpH)K7LD3ke~|(a*Y@(rleY5zkb~T=Bpyt
zDgeyzy3s7&podrn$oL(MY8P^uVKH_75e>cXFTTETIyqcni?$KCQj8%kW5`Zdds@C*
z$nf*P#Cj>k#@{d3PJoqr?&Yq)UhnqsgqJkA4zKLkMy|O43Z}x3p3+Fj*>%0WB1jN!
zJyPFp6m7V8zcMkPnlc`Oh)PVv;Qp?GK#%Lb+}d~|xSc7ZmnP$P`%<&yX+(;q`*$-{
z5mOzf;VhN`$=*yPCvWxQcfN^)0~tWoYn;CY(H3wHj5_aqp41Gqs=;)Y<I2Jxy*XdY
zIbg1GduPN4B-5aQmR!OdjDZ2q&%qO(0B=3r%9(q7c6_izgX;X<cT2qK?ohwkHmt1%
zcL!cIq|h0MYlS>UNJ7EaRx6v}dH?<ja`dvEPVcffNeQxq=uKLM8DHdN)>obnDmDh9
z59xv!>0*QB?=MQ51&t2J(UxWtuSP_|v*G{p+a)g7zj<}|Pr)hR_}z(RU{1ReQE~Dl
zA1(3Ec(a#^5fpL#jTW{EvGjL&?P8JHBC&TX6rWSvm|$1c(d_Caq*bI~$l&;1xeC)h
z5o<W{d$e-#*-38cFiF%RXO|#4%W-P^Xkhxldo1LI_oJ22tpFgg`}r4B6GOuho^R5`
zd<J#VblI7nfVuw%28K;V(?VKt2)jgmTeH{$0X;XzXfiYpluXW5SI?TpCG`UCP-WRr
zZExjqe~2A+<G&BW4hVfF9=twnA>I&9uiE<It9g&_cCTb1#zee-e$jgrV0lzMlBb61
z0igvy=MZ+d>a8d^S`!=*Q+00VB^<DXx(&%^sy$*K-&ne6g3plX5O86QANVQ!et$VJ
zDM?|@MMLWSRr22eAOxG^VWP~}-yl8vm$EmY$EcxsFj`%`Dagge<xtE^PmUf^2|MoT
z#9F1dUNZ)-*?hJQ4c=ISLUO%8%<=if?ymDv)4QphcN*xu$Df3hwYgx;T7A8K0uViA
z%t9Ndvez}+h@Vl7=IP2Bl3wcWi?r7*>;-<c5ink$Jd;0$qpfNUAKX@F@t#6pT`=A%
z&x|`V8TUEUg73wB{$pWL$y-{)LyH0{gXS)Ie+ZH^=5jymXE2!n1;kSdbV9)oLEuE`
z-o>eQquIg9`B7k=?B{Yt&8sQ~jb<~xhvob11xw@)&q*=KHN*f4Z8`|JhT_qn9hE8-
zb5qVp1s^Z*PvA@fxlHX~-$N7p`?E$#@~1Szs`b%I2Z)}aW3=*L)3W-JdPE2A-;?i2
zPb|h{D@n>qN=jULfVv>(qdYv?)e|{zm2^`xD~Zrh!)+-M>-9XLB%$bom`=kK>J)V=
z!{ww^dfQaLC$4yL2rZGp=J?a{7EXvds>lZ6azv{%|EW<8Mnj8sG_XqkAogzaVc9aD
zxbe{N09QBd^@P_9QJY<d_Xg5z>ne@zyiS{~f<Vc_`g+l<GX_3fZ!u?SW)`tFo-(Ox
z%fThCv-Nh|?WAGBt0kBG_cnuOMQA4|L@(wcgqE5b7OKz>Lt=wKpEDqzb+<MCP{2`|
z6(A_{w4)Xax>Fm?s33$Lc5;G(st3W$ti^hW2A>zVOR#ymPC^KwemE-K0oWb6y{NP_
zq=-iKyYL1qyl);9+u_Xz+)sXRKMI`683pQQ?Hk4CT`PgOYKhPOcJwMys5RiX`8>~1
z4!*lwu4o&{#0{AI=mxd$8OHDB9jsRgkJpyE@WcKanAasNhmGf`{saw3fcV)vM}%qw
z8B+Vnyq~BcROTG`LP9!<7y*xiXXoZt(bdZ;$k4<X4H3Dk+PJE&3Ek_`<V#4g(L^Pq
z?Ur?Wz6UOhXb{R9jSFI}9r`M7nQNf1@Tb3AgX)a@7?a-F=sQ>2a&fZ9!iO0Dted?3
zw`Pa^3g)usZew%^JJ5JR*7JJeK>}&z%&WiARc==5yx{Q!N#e`yCxe$wYUiThn!J{}
zoo#JZ5}DF(Vp)~7BZ#{rMqV$2_!(gIc2<bMf{zo^%1IKdOh01dr+4xD(b44=3wN;X
z?D|SNC`l?2+^;r%1eE>?zateu2;Ui=ygS3qje$6EJXJcp`D3A42>(28ATd5Lo#f&`
zIel{eK_Oj;>c=Ue9-<$DN86N7*%(Y89#@4*@MB1Z*p&&0GnKKL14jegqLK3R#-yRo
zPj1qfiMu80OXb%ZSLXh_vM(jC5W_H!n)l=pOpA=A0s#pLb<gVHgpc2u3?dZ1K6y-_
zzin~c+UIB&?7OgvBIw0jTY1B9)M|{-zICmUhXf+&f>Q@s>hanj4Cq04u*J<2fhVtd
zaVh9)vi=@6HUxIAOX6Tr=EMNd9z6tJ=-{})VFG%D;3ykJ(~_Iuu<zVsB<8DN`O+vT
zA7kymr@5=NOXvF_jcyhxn8p-kL1334nT=D>4xAQB01%$M6Wbm9iS`KcWMPx?;(QUp
zdEGx&)KG(D)oxPyb!Vr`;Y6`oGdS47nQ=#f7p-9O0H~mO^(<JFp98zZLF1hKggx&j
z;Qu?HZ1Ud^0Af$l$UBW@AxD+>FMw*w6)45^ex=?D+0_C7_xaJr&oPB3Vt?@(bvzUa
z$^Q6o9as;R!2RtF;uKYjQwHtv;~WsOhk$9$Tw+hIEH_n@{u}gd=w8PUCtzE=J!jz!
zw6J+!isRvd_#nHaf4`G}Ge;W7@ZT{a3pg^n%0}tW&Vhg7{9MA<TCEJ@jGYsZ+T9)j
z0a>>MdHOTa0V~`QT2uBYM05(xr}UT4>TD3B$E=lV)Tijc2s(YT?hup|>T65qZ7Hc(
zcy@NSmu0h!Y0sKIHR&7h+)G*JYx8np*fD1pp%E$iv;;iR#fps5@7EDl9Xm(wmeP|9
zd5_k6EUXOHeHUA1U(upyBWO@iS*poPn@%UGuhyaNLgMM*JRt(PgBrA`ryG*RcQkoR
z#VD2f=RG8=W*!1V74TtRe{8~P`KWmbRyaYG9}3Ee%;xD(7`WMII@Hq=C4{~`acIHC
z9>ZM?;d(Ro&XvnO9tVW@69z4w4jMH4k5g#%_yn#}ZIO(@LifA=uGO@IwOOCX^+OA&
z%kcs>7eN7m`KFM+r`wnAe8X2p$N--N5D1(N+90d~HlG6*5H~daun|~goPbyZ?+C$X
ztR8^8b9~SsuU?(Y9IzVTECD=Pd3c_2KlJp2xGx|Y&)(y&5(qtgS0e*zNPq_1-`RN=
z(CK*K?+_sN%#YeUl|DNT@k)6UT!uhE*(vCkI0VZM@R_NBw+E=lS#b3O-Y)#|1_D^b
zAI9>653^P(XM(WP{NwZG!h>HTQY2v{&D}4@O-woLC0ls8xxhWk_odF3*PhJGQuyr`
z4FR2aVMiuag?q`-&Xkunv$Dp2rgD;PZ9`#SKT$z;cwxl!hwv&BFiQ8mw+4nLg1uIi
zIK9QlF?$iYQiL!qicu$rkTZ-hK_)77;i2yBbhSNJh%}MH0zLRq60IS?+n409X;AtU
zohe*_rQR!(ZQdaSveCMxZd;7oQY&f4(!nh5NVl9Qsc)w7#+)xppnekWgKVjhW(Bqz
zfup%W7ir4%vX{^3CE_T=g8+hf*Xq@Ryc<IW8NT6v;W2pb&-d1f&-rQ%4w(q`b=IR!
zTXe<W84&)>I}G0L?(W7X9Gknh09qF6!f$=Mr5SiPG>#i2=l(kd`i>S5laE)0T;#2s
zvO?Agc%b{gwHZ+K0Q4#_5vX}G)5mxp;G>M-30*k}`G*hT#pfkVVjj0`u;O*+;9Vrt
zTH5mO?|E(O-m6=o-{S$6(#MryQI9+nbC7f5TD?6rHFeL@cV>Z&8yu~h3xz9(b_o^E
zegown3TiJg-01$O-_NpgNH$^VrryH>SNUVJ|CYksk6uRbv1D=q?Esb5=J<CH`9l~r
z{%!zuQ4?QE#=oCxZ(+Z#WNG*NE<a_`_ArcV)U!#LFv()Ko$0q5i$5xWZ&_PMho|)x
zXVDhUzgE;p)+FSqklaSt{h5D~PmJw0(R%0fWkXAfLE5?lC^<BNf#3NjRDfmb8)-aN
zg#nFpze)4bOy}(c;cZzB+Ps20_yXslL4&^Y2aluS-BR~7J-IOJ<n#<TN-?&Ygq#-C
zP%1g3o|<;ZYxv)j7RM8ZMc2@mYp0xGr@h6$SO7O*(i1?*XP2FVNKd88$B-nDqPYVc
z20S_+xpm~hZI;pb2jCNrIxmh5f<Fr-fL*oo0<^aT08IQ7u;zeg=i^m@jikRjNxDoe
zs}U6PfK|8;?8f+@U@%mT)DaNM<G<!86?&CrrAv8h<2viEE;GMEde?j3#FTn{2~648
z%3y497$}Q<E)vm|SUi7ZMmLowX$+%>_~=<t{p%0<-uQ%xr47oK4hW!ti&fy@Q@g+Q
zKOdH>d-v`fg^fqsNXa}toUbFY6TlQ;K}a0v?_e*Tj?E2xN^>l%3lCeR-S}|y$>u(%
zr$DI<;`$MS`Nn5?yQO2%pQojN$VX52_CT7^OdOM4?ng)d=W)2bZxTDTG2+jh5}X;T
ze}3_mwa~m8UFZ&fdDMpH)1a;XDL6dIWQF@T0c4vf*qpD_HVW3CiPA)pg~1`iPY}h)
z9WxY7>BUvFTF-w&0JY@;hV8!bAAW3ifoeLJ)8Ic4)(v$r1IA%+aIkR$pLWB|&7F~+
zK1==CZ^=!wLhELWeTd)1U2vm<ZyMioqaX^7A5WGQfR^E1VW7n3=(yKf2nxG&&3|=-
zI@3$K1piHMN+iCwW*2H&_n#VyuubqzM0l@DD(p)<G;Fu!^=kLBi!~JGd4@!ZTv*lB
zv0NFTFAWn;6FI#6s%)2z64I+QH*c}HMjdlu8FYDU%z?PM)CfkXjY18M)BsyvW9+OA
z0<CFUi11x<7osdBr{thV81M++(L9YRlGs^#4==HW$h!)}iu$`epJH2;-fl=%92}Sy
zVdFL=6YWYtv0#&%i!e*{8c44@mS7_!PF2T1k|<WOsU<lnsR}uZqZ)9JGP)DrDM+gL
zxCgeWB9c=c%`rq;(p~MHU*v#`n{9OosJ+{c&lAt{8l%ZjM;Bn|Vi{60dr2SDjSOms
zK3=5z?~cn-x__`h=lYx+L*I>Scr%)?uwZIp7%xv~*9P7NX~ciPx&y5O;1v%`=w;V3
z7Yhgo<SvNdX<B@12~eWq@&U8%<TrwyTJz~t-PqVTdk^4Pi#gT{e`$~{CVSvp3PxI4
zyIxP%$BTV_X*>)R1PKNZ<~8AM<NN!Jaos}uJbo8j5e`u;sLVlnb1DHart5tpC^Q;W
zpVzq+-!vw>yj24fv7jW-H%ynF075-Q?@5jV^NdERXS&1HXd2}7$E_+|(L3sV4xFAf
zQ+tg4uUG4GoLv{Co9cItf|5BCn3lEO8;!0R_5VcQymbq=vF+6YZmKtef3hYHPckwx
zHh$l`OBrngUXH=?wKFo!SI7FvaW5%~3WZm4X4;=LEC}?^`&#mrekL4OQ-tl#dP?Wk
zOzo;k9h<e|;!Y;)O6j*P#wJXEoiVn~?m|Q<nqJm0WC@&!=>x+DRWTtX#cA+g)3Xow
zBPR6c_|hgpAtlnzlBGk9vUFN?q?z&Z|I-5aMzT@IK>C$4vkHx&`Vw5r&5!bpf8eej
z2q*~RYl+|O*T1*^77j`r@X=d9rcu8jfcyg7u7EpMxAcEupnI<i6ct}6u4pHOYHMg{
z1cVk%J#S2u<|VGic4G<c(7YsJibxWupag|RXjH*eJiidjGZ6CjQC8l~8Sz_UDbS-#
zOt!5mwqD)*Z9V?5(PFMq04K(HW#GHD(D=;g{=9)myT*VoaK>!BT{(17aa!`bk@j8o
zmOkGH#`GKF0qr#mBqmRPOxkuDX$V~A?V~EbEx*8&kA{(Ha+Uu5a$|t)$~!?K`b+fi
zMZ#|<FWv#klUT*y-FlGj07_IIJkn)CGqJ!6FmPQTX21T-*H?#YtDTKLY0#(sTsC!C
z7;<cY^ec?Oci|(6;`hiqsd1T8EAv6vx#={AUX`A#X>5N{F%fkF75w8;gm?*1Ja?p2
zZgAwTi!Wp?8}dEZ{l}k;-)w*Q+<^fP%h~91y!Ux|T5`?AHzibdwDbOAgTZp+k!lz3
z=KR?mx&H<kykXS+!@}(qkY`I8`5vEv4xF@4%w%5lf6gZX-}t|eD}SDa792vV3izQl
zR}S@*Q{zpd+<EX}Xy^UfIkkhg5PRC7wzl?8s-0jK4~o2)K!l!Mg^D<=v^SRwlS0^i
zbxk{*12wN<4;LHRidkT}5^)2l{$KD@(Mjocm>$;7vOU{imGR3>lsyjl_ie3b@KdPa
zVB4w@U+C`%f<m_h+)=AL?I@df!yL)X=ca?aQzC;FCi5%C*2)Bg$(b0d+0_xsVE4sO
zVp%ro+L;H~i?y#FLan~~u$hX5rGMWHP<{uC&#$2J<pJnaRW)+rl!oFIlxG@97<uee
z=~cwb)aFO-Bx&QlJIoW8$|<ZPnlVfRFl|p3m)IKqd4e!tQJf_^21>iwnuARO>o0NK
zrPDM)7be^zN!Plv&-{vb*fI3%nB-nb#idHo7K@v1RB8Cjpbg|c!7FTEKL<Ssy*Zp!
zU82m>#o2}V`bkb$xXxf{2aFE{VZhvzFLtw37QAaUBJrB;>gLa9ARFh)$mo%BGu4?g
zBe2wIY=9`4e_44vo4=$i37+7WnZYFd)a9g#hz1>29fvM`5%3?fV86?&-=5tCDly!V
zbbfvVw!S18qPby-34SsL>}vq-tl>~C<87n7Ojv{<RMaF(XvrYKymfvH0-<!_>sTg~
ztCf`r@7=x4hdcf^;zd!J*g({DL}A63S2li*Y*LO0na5v)y#lJR(xHF+MVg-^aNB7F
z+t!ECI-M^k<c46fR2l5dHON*EpS*O=y!ftBN`H&~E&{_>4zK5}i%}Y5OSr|lStj>^
zkro>1qUZQvUx5ya_`4_wFEJ8~mF)Lqd1QTQafKN0#ler$w>KKW5L<#Yk(ci9npS$j
zSq{r23KQXk9+=)N{U!TI2=So0rgEY2{<8Y~b&Ste)Rk{%?5%CK)55ykGq}hdnh=aZ
zS<$sZMH&>Tu-pK1ZQ`TFHx>FkCCn24jjUpb4X|5+vG)cl9DQ*rwQM?j`y)6!f!)r4
zJMbfjhQ|vl%va84CnqP(*kt6qCcoh0>haO$c;*f~-|Ya_3~k+>e4o^Khvr%0?w)Ns
zjVB9GgXceKEmsd{EzyYv2jdG-0F!_+x0CSv3ZnCag&6Q>=F{J=L<*p&emtwxdUyU^
zZhoF-cXf(Fin5``8@V5q8Y5fBY@l+R5ef2OB$F8Cb4>;6BD=_lxXJg&FO_B<z=@6G
ztlUJJ1Zu2ps%AghldwZ71mQMsBlPM%plJz=Qo(VC&z{Qn3eZTkFX3rW=8$E7qw|bf
zI9+E-e~3Erp?4#k<m!7eo_sVRbjfk;1G2de<+BwA-|Qc1Qgh-?VjDdPw5vR-zO*gQ
zHm~6OOFzK*ecW}uA4g=AutGwo;85M5p0ZqOeEsCh<aP1;|Eh#qdI>pEd$E}BwIWNt
z3JNIon;D{%M0QonRN7P1sy@;Ip<<@-V8C%OH3R;%HxK6YcG((B1`xP$xvJQ-9qn}R
z-2;uiZC&Q8lmBL?O9|gWL=VUdzz4v6to{A3tgOrrv=)G6fy(F*`t}1%s6hUxo%+S?
zQBaO}5m8wFzdzgfE{56jFBh|qE@pu@)*adVU$^gJn_>0fL4ICd``1>SI~Z!Yr816d
z@M@U3S^@~)OZe~ifWqwcYGWKQ>kk7+VeIS2QrX)T6d?e7@K&N%0lRK+sCzDea1-cN
z^O^WBIWj)4cRSzhU-R7$k&bP@oo5Do??SQqKf7Fu_2=I>r#WX&^wN_@+OjYStVI*{
zQzC`B9y$wruy3Isa5|>8(90}CE1I~f8hAG9VqXiBxjH=^oUm~BX3;N&qXI_nZEZ)-
z?4_MgQN}3AD`YUV*_g0Cgu?cZ^gG7O=~dRYtYP6}EHc8?BvUEvRyPrn9c&cuMNMbi
z{X|>t6wV7i=jV@Sf36(Hzynp45W<ETR%Ng2Ef@8pX|Fx<Pyg{H_o)|MMd|NA`jjpL
zE)&!8-y<|V))C^NYOt0Xehe%^k$VhxACs65hOVG)A_%D*bNkKfOVDV`X#N~QfTgH{
z$eXE17u?!W(*KaH3U3=cPSbE1`6cU^3SXZQ2)6eN(2NScizz&w$_~30`g<*-ecu7U
z%HjJra>Y(5?*B%0u5=zWE#b!i5RU)=BMKy_4|o;HC9&)?m6p2$F7MI-@Hd0Q?=M(F
zK;4HDEab~|wtx#jvqVd@tv$vsiy&ys0$7j%`!wp<0B|@%%@CltIqw4UFUpReSSrSE
zk?&XW_X3b^v{-cf7~=PhQpNwofp6w(>Nv;P?y2N%XcJV8jNPtZ0B};?UjiwRtCg)8
zxK59pDzet;nMUqNCVtdqW{8UqYx8(O86%QNyF^wW;J8Ffw|}_>9yQCCieewp)<O@t
z1qD0s_Rz(8hEz!tn+!RM4<I3Zu3v;Nf};|INygcuyAaX`+N<UQYwhBaR;Xu=6}j(w
z4PMzS*3VToF=biBXbtLUk!E@rQxYK^l0V*Z{|v&?VX3rmcKujqQY**I!G5b*E!_jI
zO7Hq9_5EG%^@hN1NCvJAg+)8s=H;5G)5b~F3AlV=R)YysDwz}DBK#~nYP@%SO|0U*
zdxYNX&8qweETbOARRyue%vJCENMES;^w{MPF1{144$=cN)~T-p_!jXQT)^A$7w<Os
z2M#=8Ik}6BC#M<tzk9iX-tKaBzU$I4cyR@ugDV8qLIAS;I|oT;Kz;_?H$ZRpCk|K;
zfVuv~7iF;0+^wBE$7}Ky78Y7sq#*yPoX^C7*93$2IlkKgABhop=`wI%Yu#%91+38i
z6-I&4pS^})C9_9TlC1b@gg<@v|MUU-cn63VNFu!l#zzp<1Muu!HmaWA_#X`q_Aob0
zI_2SCumBc<zMTP;CH^e;ZqLPT-$D;r)iOpGVkd<t4_N+M+}b-$MDMM|ux)vtJE7RB
z<30GoB6Ud*7k?Hpw(tD9?F1(Vnz)y8Cm)Q0>kB4Xn&ets#^SAh6#?=3PD%`)#<Yka
zf%<VETJvkGI`0i)2Qr;hi+9c%NSZPmMJe;V&(b4XnvtK48mNK0V<Ohss>VH0Ni9yk
zaJWqFuMA_2po;m}_l<$1f1UYguDr9M={*q|LI{D9FJvh&ysGCK#8TmY<Izk;C52ik
zHkmU#!=_9lRT=rI+K73|eA#A&`FPnX!z(@0c;6unl`^uAf-xkrRMjJhk_YZD$@D(R
zob5gA2)4Cd7gHF+g6~}|yE9>^qZ>!Q%w<w(byr8sATKB(=zFX#Da2W%y7D<|slgX#
zoF}?~JECTjZ+rU|#3vw?VKf7ESoH7@1M+t2?(Lrd(Dm64Kq@1mHF=R38-&?6+~~LB
zP6|26Kw0$pbIncQp3n>G#N+-YC4aI#qiKGF%lq#P+(Djw4EL&7+qSY@-UN<qdUYI%
z_5*?DWefkcs8&A?u1zVVMyhe;=6Od4&X>i>)pf*o`I&TR<&2rBDGf??F=y(!=;`u{
zZ4hBqt^@ojqb=A;Bd>N4ib8Cyk;T)8kO?9Afkof%j%Bj5RIs3LgU3Q?^S<<i-6kCN
zJ$?x`3T(f7eV?OWt`tM0{d7mA8)XY)_Abj;Hd(Mkm(MDrH-l=f_rd8}y_>}Y184<?
z<0w>oevK<v-cc>0fS`SL9x+_?_lnS)+(B|d;~D58PNb$Sq{VxkoJ6r{iCVNp=zenI
z68~M-CohGL2e`FLC&5k!t}mltxfazcY=u!Gx5}tcnBq&f%>EiVXYOz1Ds?8g8h&HP
zY_?H5CFR;H{b2wR7+9}sIlj(WkgBOj?j6CoXgY6LIrAp)o~EFnV0Bg1gK}wLn?Fnt
zu3jU6?5ZTDe3@-7<_eknu13F?N&;ze!e`OASN<0$!M}QDFLcX+!{C2l9WQUEV{T#C
zoF54&%I%b3GPSg9-%K}$R`Kne__iVt<&M|M;`0hYIm;;^CPJ^LXQ%#n<J`Oi5Z_DE
zNiGe-Qwwt9;!ViG(&B3qpB!JYbMgp`2ft=J@?aSNwVJ!jKj{ifp9Zf}vY!%14d_KU
zn8FI-Hj1!W)~xFSLY{&YkoHsp%{t7WRQA2vDJ_4ZQgrAnTXs5FT_V_@#wZQzM{{Ua
zXm`%lOrIs1GyNjy`a%i70(qp;!%RK1Z&wC90o5X&<H^FmBqi3uOBYpYH4uwBkYY5w
z!Y$_WY5YyBpzG8xglGvpmJi|}xe}osPD&&|vRTzuk2PuXVqvBeMGT<|mkzSy2dL6l
z*WmCt%Ikxhm!<{2mFVcqH<knZd3AQ?5#e*q(y86?7va)RooF?p2vsCYJ2Y%to%TNo
znm0j;9WM@#0?iC?UO;Xy?xh5aVAr5MkgaW|(V3dw{Cb@`pt|R1lY_D+WuX>;=K`Qx
z{-)2I<&J9Y%w8V6NbOgWH2pv9ZC3n13O=_a0k`JTqZD#j)B-pR$!$>Fibt9W3M_8o
zUv7VT6#n#p^*D&RejJM}*Q%W}x3G{MU%n-hu%vAp&WR$BdM#~k!7Ahbtzgvm7Crf<
z*C}OS(tu}hk(v)Lwm<g4D`NOf3DQ|toXvpe3uCgANA#_qB;G4?VCG`oqVyAD!@p0}
zuTEM{Ex{ULtQ(Y&Dpm7y^ha%KxBLkvnY2MlNP7C^>w)JhqKf1M>nsaRR)y37nx!RJ
z(s*I5vobfDl~gpl01YMY0nNkxMNxq26j$H?N(vY?jjiKItX(7lRY>@^Wc^NY)2~ep
z7hi?$?KlFhhiDwVo#xQ<!H*voOBjev$kQ5ZU1o?2!Vp|0eA-X9C2#8sBZW(ekQeVE
z<MbvC-3S{*O#R&E^v(^9vHF}-l+Ae}N?rlHmwZB1c*BH0H@PwQOU4zcEqRCO{$BX_
z<#CRb_s^}5XXjGD*CHpE#~F*A6#JOgL8_6OAh6@(+j?cq#S-`Cv$5uBN2hoSCyekw
z^j7H`0j)#Agj`tT{#-eNYu@E<t>up4rFZzr6pOvDfWKB#-Qc=2olYc$5<|5?%Q)4O
zn|Kn5z}kp5KlO)e(UkFaP(u}hEDa}Pw>GSunIR%g9;2V&jM0eKt#<WeDaYr?stkAn
zwcFPthwL&3Qy}4wHRAzBrqiziW1QEILf5AYQe9mK>?K+DHe}5oosp>C%rGZ;V9?OL
zp7!D)T8RMUZkD^Wip$H(gWER1+L&XX@;vsCNOAqVJs63~JUK5#YiOE+zx3{;Y5SO2
zbJJ8rnnJA$(ioGOKxy-0hX<-}=+LUuI+(F@(RL4r^{xhG*;G){rPbhcb#wslYj`tO
z*zeblfuFTsLW8T&uNb0F?vs+&%ycWo>tv00-&$e$$L}c2xpS0qB6FGigc95&eB`(h
zA}D6M952i)6Mtx73CjSvQu-|cIu3$CtIOE>i^37cbSiJzw2wKC_NEDSnzXkq?%j0(
zUVgz41yO-v(2BR~_YO!VPuRtDMDxcO<NMP5E_6>bZk8r&WD1wrZM43B_qXF&?w2{g
z$T_bNF}3m`umtu<wKEpvGv!&v9~)ek?w{YelkJg$M@3S9;0CUe`-j8;SWNBYl5~Yt
zGx7A!(gKfki;oc3rm3|gi%36aFlw+AdlC9%=cMwx53$W<-?O(dyy7ixd@dhkYVyBl
zTzTfjMX7{R|0LrHkMQ)>Dx7%Wx=`QObdaV?LregDFg$uns^7h?S-}ni@V7EZs5?2y
zoq7?Xj6~SQid#<2EV4e#es>K1y~48HVpBU<YV2S$Y>V8vlmrQPDqO9$;)%oC%?_`S
zC)9!Q(+$KCW}=UX8r*E(qOJAAjRX}lC)L$m=93`(n{3gA;qa|b`h0b)uGtG#m%Oj#
zY`xa6=br&H*Tcrv4p=}hfVO4N)ngk(;!AaN`=`b1!~05>tC-W;hx}`%a;+>=3?#+e
zN=oE*atsh($d|olzEsV-R~x@tt|M>A>l%h}aox~r!ZjLGM0QB*4_Nfp#7Bp$9Hsw=
z(g@qP+Z$!K4{(Tm^f|b!vy{FI0piZfT`HN0@3dP1qz_a}PVFYp?l)e~lNTs88h-R_
z_KQYpm)+g(*F9_Oeg`h{Sade|elk-q%kvl6L;a`8z+a?ZAW#8}F&F^x^iXZUM;B;y
zXQCK{2?;^?@t|0$^}cQ?df};WSxN2{6fob<9G(QVe-0o0`+<r*#em+o`xsFxqHgwf
zfs?8#nW!d}Z#}jk!Mah|!7YV1BE*V4HZqF$jz}-gR<RnnjZX;U*6<8ryg4Bq^bmA3
zDa$S9<j^`Zmvi?DC4dv2g=A+$ei9j7fknsJRY6tDLCvlUUXDR*VBxW~wGEa0GCW-7
zX2+{j>LtMUnivvfnLj*STyhl$Nr8Z&^c-fQj$!4!YUjxkZ<T?#l7xCRu7ZxbxMn@V
ztK*tOK<-7t=WvreI!n9UM7K;LDMM4wUFI@$5z0n@{Y`ckNFWl}Z%p5LnW-$u_1q|G
zt?P@c^@8<+@#<188CS!>jLl89fUDi<!&(%>=1p_lWd~i&q!*)K%Cx;3$E|#cRvgJP
zhWcL$?Z+fGQ|gaxx2x}T6RT<ZYtxm<x&YxF$j$^c#%Z4$x7)s+kh<8*B9-TQTpSXG
zN9{!xYjyPySxdVaJCQh#i<g`4(s9LxE);=NVnFJ$@tgM<!+*pQ8f|3)h6zA_-VX(p
zPWbFTU`4qjo^t_qX=(_dw;*12;K3+})FOtQ0hQVieRvL-)6HCk#T+FvUH?gnRsjv&
zd6}Qun20N;KwUtNMHj$%dOdQE``<rD@UI}1N(CaV;~`p+H8)kwSD|lk0b2NA&md{m
zn@Z&TlFy?VAKd7ac@`!o^}i(LkLZe}gNHP>%&PMFwMKkSh8;_|qmjOirL+f@O8&QL
zV$`;_&7xDrwwa%)vJ6NkT#ZIjlICpab4;`Hv)y|&>0HDqTnyvA&67a&qpv{!SNH0-
zU*b?fRK$dHyrznpaz1Eu0uF=Q5BIiOZ{DKca9887*SKR^q-Zl5lSzI{=~4(I!EMSi
ztkEiIXy)+APm=PL+dboBoBY+P<wk{M{7v^n4{ludvCfS1uA(>KqoZsH-`=KB()Qx+
zJi$7Vt(-Il&edCNx8no?Lj)&_EHkQbK9BR>hYQbEZ(Oyz2+jAd!A_c<EEXrii}=@$
z{K97coZWTNTJi0;;Bn9Y@3i~BPts*T@Zlr3@#Wu|rR$QTc*;oOVoJeM1`jq8gn??(
z75VeKWhJs)Kw1HkyA_=jnzM#97wgF1PDeYk2NQG~k*0_tM<Bi#vi4_+yvdYECB8(d
zo~F4pi^2I+G+6@AoiZa@F5(gO6}{Sz*x5osT7$3E6p#1{$ViALqrd6J+8}^?3w(;z
zH%zbT-@9q8kDHc(!YZ&_4)iJ@;yE}pG3*Bhu7P^1t|-W$2?_&#H^z>?!JtX)Ovp8;
z<i*qPS_j^|yQ-d&^ry^*8^x*dgY$xLj#T$HCfQY7Mp<25YTuU*!-c9ddZQ0C-2KWP
z5p`V%=;bP@9gJ=$pm1d?ec|Tw7F@uEZquB1x1yw#{le;kdvKA-AjO|MwTuBZSH98o
zL&<((!Q!BP2Oz4_aW6Py{SxNlEM2_Zo)zW{0v*!S^yi~uzpsn(k=`}ugS+<rs1H1~
zR*x?23<8U}7*$UJRyxrRL5fs9pD$;A`oDRuGZg=502|O*%UH-)po4Nua6bBrk43|G
zh^o?I;42`lkYM%X$-ff``$FE%!JS`@&}#u)EMWuqF)m4;XJx?BOj+kLh=>HVOk-(+
z1nxP|C3=x6!r(;OMX=}5SZ?=>=Yds9{t+-*PA1J5+X6@t{w%s~!y1$?J(y-9hky!S
z+xsN=iLn`K^8V>OZ|O+kGfD7#I}`lb^*)}oERIa;ugD(Pzz{>m^>erhKmJOia8W&S
z;eGSU%1=VA24Vt<o1}7v-@-GV2`-hZ_Otn4eD!&k)gYKZjzB{68+1}5W<F6iFWWB@
zbb00m%PX7}nWZyWSDDZ5(r7x%=O=AQ78?0q?drYCzX>Dj5xSQ9fI^Qdl0fL8$8f|8
z2qSg-txcUpA_fUVKDUP%rt7<F4%3Daqm+4<t*jp8h$*`Dl*l}GYFMB;bv1lJi&Sn{
zn9dMrUn&2`+88{gaWzmve*m-`F17lC>~^<CGfmz+RBhz(Hxnhv5RU`ra=XJ~QB7dN
zUG%mx_f42QG^G3gCpe-myk`&(QUIjz=Jp=|>;^3iTQwao*bO9F0&xlS4HR?kxz1(&
zU>>m+dO3$%ys29pB#_Ukj)7l<-lyqnpa1HAQ8HI|PjGGg!zZQ#&N#0TTLuC}n0#M!
zh4w2-?bldxNQj*%3kGQ@{`MTYOh5>+Hn8;#h&8$4R4J31w%_((1|g#Lr<fZy_G9xc
z&T}=}7`npIfkV<?6%!m-njvU$I{A+Nz8^x72s>n-lJ<SSW9m@vSehRl;h<A1V9Seh
zZ?a_RiC)9ld~q;#(<As`bs6%ISKyrf7J}>rbnDrLe187ac9G2ETeofjH^}$zo){4E
z_Vf8erdj_V{AzlbWVfZ1jQ72-h0s|n4t0qcpc95(^@GsI*OH{su`nIkTi@%eEUr=n
z3-l$!-DT80;^EO`W%P{Xq0KnW(Z&ZxaY!SHD%cumZ_$W6!#;BmLI4`~sHLWU!r<4@
z)kCO2^m8-N9{b{E!S@OlOiqn;$=Q$%wSj3SD~YtJuRbnR-{!JscHIcumqAMopsWRe
zasV$LIPJ-z@Q3gKBEB%zP`(jNMo)gnJdw<aEH44pF(4s2{aVF|&Z33%BRnr3Ql0=h
z3Ol?xp&io0$D>AgJ^HG~nQGGb`;vJx*g)%BOYV3T9zzHJWY&Tg`Y0QZl6aUn!tZ4~
zy(%F+spM|@y~m-dw9xFOe=d#L9oI9^@{4kXD~><jfi8u%0B@$yCp8`{<(GLldapzv
zedhf_P!9CSYoefdZjAg-aHp0O-Sjsi1@QyF7V#_G?koY3f5&U0ns6jax2OwSCVA(K
zUFg!CC#@tz_hk$)icuH3se-+Ili>AeFL)~(ZA{Vtr2Z$Nf2YEoKk7ZQGBaBQ|I-Si
zy?wdn=6^Q!i%~+!8dccTFv7V5M7mVNu>Px%9RoG;DWUaX<gTAKk^%Lx?v+?Iq3RVv
z0f+Usrs=M!vh^d9Ia;anlLsg8onN~p`iSG!16L%^GhfL={mA`K2d1-I(-D77OI8kJ
zY$QeE7*SPsHx?gSIng39lsyPGwz&W~aDKP?Tj^a3;7=$ye_8kG<)c3@S@Zth1De~E
zP*C_5LaM`pCxOvcJ8hs98^n?2;N^_?+~pRlVZ+w|um@Nfz8$&s$bV?p+Zf0dHZ{ic
z-hkPS%v)q>bo*y{{^aiY-yc7IgntfAPwLG!cH=C%6nKt5R1Bh8jspmZGwq<K51zu+
zIYUH@h=V^}3WHy|D=$1KUOOHo|4WI%Iznf2v3Ic8R*(-OS_`vRp1(@S&0&Vt;Md}!
z7V0nm<y~XM*JoQdhXX5@o9c5A+nunvosO=c-~ZGeZ2g3~&MrO8+E#)&nm+W#BdSYT
zR@_VOi+92}2gu2vJ@;!_WUch$za7aX9c4LCr^DL<r%fCG_!hYA&r%0zp=8({dL8{m
z>A<(00hOiGvyu>R$O@yz`f=-x!piWK%IQSD%~tnDGs`PQ-@o0$MXS(8!-X^n42>(?
z_@9epjc}A|{q(+8sL9tiAC^3Sgt#5M-SRQ8WV*n@u4daurrl=cjhl$^cemy={x76*
z(D>I)jnpdtg>lb9F;#Ms9wE?R0QNkJ!hD_CW3M^qZ)QPB0@q5g8mT+iywI8nb)!i_
zl;F{0#ZLCbT;|rOH!eytSrXRGnGx>yaUmLQ`HHw-IRk!<GMyaVhlc+fBkB$CDrq2k
z1&OoPt)_o+lgWQ$orwGA0XGuK?*B$Yf+=_K5L`Q;sw($(0xgqU?-~Rc;|C<n7{xC!
zj6HS|eKrD8Uw;+U=#59U{y!~%hzj9u!ecV-b<3vLB<sL~v#AP&=7`5v$-WoQV2|^(
z4@-F-K*UUE(DZgu+oCp~|0P7k9>D|gBolHeZhZfE3PN@3>x&NCjvRY=x^(e&IPh5t
zyL{8(I?r=W01Wy5Y?|5RYFOrbywo@Q@PSM&!m8Qr@)<djQ*u)q{R%!RflI-iEui-O
z>zpsk*3P?$VyN_?E`j0Q$3NStJx1ZQFm9Mqp|!0AlTUHaCC{6eG=WmJAK@cYlWOGg
zuDw<LDZMQEp~h0|QWI3dlEI@w0P?{bCIqio&Mkuk1=>;?yTNeNEe9Zm>`T2mP^0jG
z=DL7Gv9|b}GsBf63a*%}s*eE{HMec5HXPg{-U~_h?l|Sa()MfQKm_U!*+W;?KZc_S
z%V2pv!@2NZ6P<yhFL6O2^$&#UUX*E1<z{68)Q&1bvH9sGsQTZW>W112KeM`bH7-kj
z^eQbDx=z6*rHB6wA!9tCT&f3Lu-dolaYkJV+_}%goD%TG!2iJ5(Oh3oOZ;BLaripE
zEh6uuDcZ^dhQybqd)Vc3pcl{_Bn8lFmxsbv;3Hr3i!4`GJ7h5KcEsf~h#M-o08HXH
zgRG-_%+-kwpJ-WRbu0&^NmwxRlDOA-J%1SEyonXVorsF6+@V&qE=I0u{jU4E1=i$7
zindn?_6tv0jexeaC(B7-d*lVt*=qpmf~n`ZrV69fqgAzxdINBfPvd-D#&3x+FBtb|
zr{1~wh|{2=F&lA%hXkgf&B-nxNh31#@J9Nx5_*hs+46@?gB>jr1opM-b#mTP0uZJ9
zlLQ(MX$t6kG?0SH9V4-$^nLe2b|OrU?zfR<)fa@58a1m}(d)Pge_9O;1Zl;>$;p5|
zx;bGSC{T_;xEzAA+f1h!&P*M12mY%y{d(qlZauN6qlY7>K>@v9s>P~A^Zrw<L}p5&
zVHD)E{WZZ&4}j8V2U(HcpAY<cKqe<sG|&oz{Mg0#F!xDakfW@RJ2ogfe~>Mn#*G1m
z1I})|aM0HMYUW|>91(P2S8KSgc5CAOv4NWO*iRtmcUQYtVT4|JhR2+?iEI$mq(ld1
zMaA;Y#zsS=UR#8J@#(+#HzQD`mgi=X|6UQ>I|`&%VTThY5MSe5ZZm}-6;A7KA)PZ1
z<pSEydRh6NduaM5DAH75*K=_~l6Y0!zI_li<#8m6`s8U5p(h#bbrih;sXE^S+g|ul
zReCsO(aRirP1}(jzePl)Yp6*@tTGKJ4Y9yeh~2O>-N8^ZDJrIvo@0QEp}<=Fl#7fK
z__|6SkBsS^U3B1DZ#Wt6Fi&?OA`jRVNqLZ5#bSOe{IJ*bSZ~OoUzleVtY1CkL}YN<
zb=8y)Tb!jgP*=wcYh-8*FmOv|TaSK-W3=#u|A-nYpie<@<Zf!4SbG_#u-F6_A!Sj}
zDonUPbt`<quSHf^I0YX+of~@e=@W~Yq}4N}3Eb+;Oo0jcr;#6JZpO68e%fJ8i_0;E
zQc`jOe@_GDUTjw%q$by|J-A0*YE(QietqWQOnnvb;o{DiO0gXr&Q!IX$kwRy2a)D6
z<ATFX%*?|e)xghO(>WV-lb#*B52p))Th^0>Il55vi*M{WkLdkJ<n!RjYub>^{VACU
zU;qjZ$|5Y#82;y_@E8^D2hag9(;vLe!UG-z+rc29e&tYtku<PGHV>FOz@4z^CH3sA
z#1-bmv&!bb8V;hrv}Ix(L_o4d)~_ckSQ@}kt8eIE_QibZ5MHG|e3jl~!SDIwjsNSA
zF5hKt#&6s=J${gJ%if3x^<@>v00NQ2i1tf4Ke<fTl$st^3-wi$1n_W)^^y}PejWxy
zPC^|$?X4VA@d#H2-UNuQkbWzgN|Sf^I%30BT#GmFaFjf!Ay{ltC%J5uI_J^h3Rw{7
zdNTX|R~F!;@(TC9Xmcp@3e$^&+gOzcoeJX;dS*Fxb?@K(6fr@K2c1SYG}AMZVzMmI
zER}++wT65I#Hu(}xNc@Y9XS*yN~~z3bA=W~NLOW#A-g-ILrX?Gd&=Y}<pN)HZwA&C
zT<ck8D_Pd{0CB__FmdqI)ck7KZq|<zm5Q=nbx3huK!Y3`&C=B9Px&N3I5IS(Sv(;`
z+2hHw+zld+_inlah28E^;Ig}f1}$K$nEfml8=6S1F7IWi8TbG#f1}N*SBpjE3}p{K
zuO$>{H(W&98a007E6aSRB;6c92^C~iIRlg-+yA1TdWV9)<K8Ue>chZ8tRAs9V-6UR
zw6rul=TYqjsALKzWG`sQV!SL)Rzy8YW6x7c8t+Ni;eK62N~$HiymAhQS1JRh6a@Ex
z<_b_+G6bp%{4U<OH=7GwSrevs-q;3c&3}Nf3<Z{9P>RUL0<H$o<N~Pe=SO^S2WY8n
zu>ieACwL7hKKU_mBN!~1_<Z<Urxze*viM%eF$hxuHatow33wOWfOi2j4*)TJ38*R-
z$-<}T0~TQgPl!?lA9k*RHT558A7mY<+YZ17t*rb=Z!YOe=e?fFd6klsb%uJxX4viJ
zfRX>ozQ4v54xYgu9+DP0`mNWN!^u1;X|3CdGKe{Jzf{z)eg@S~dwYDylBr#K{|Sl)
zLW)Z*Pwx;_^CSl}tOk50ds2~JQiqO9oZzJ-25q|34&J;{+C1IF%-E&~)!2KsG!1Cw
zi4CuO`V;|XfDjEg8xs5rR=y;tlW-jhe_e=S9r!RzV%2|*n#ZorL5rO)ZDOU{(alz0
zz+m)~-|*F6S<dGmf8Lklhe#X~`5F|?&o-y_f0#NCXsZ7|{$Kl&a_zmh?2#>GUVDa+
zy(xPOT_SsD&r8T&*&`vFOLmG7GD^to|GwYf`Tx)Vo=&H8I;DKxpZELydcB^{$1@pL
z0tHlTm6+$XFUv|DLx(e<j%8#(uA7M|DCHcb02_>Fx1BGVp9Nha8&4aXNRSOuo*pl>
zv@ZoL;ggKp*US~Ttag=B#jlaVI%cmJPEmOmjs+5lz-&@F^PJ8x9k(*!2bC=ljdok=
z_;(Icxo%43f39s>S5-e+9!wN+$Z_ah*GaWw`|bPkT#yhHLOEkwqg%gcXGxgtzK2z$
zH}Yz9lH)3T?Wp|{H}23R5TiwhoC9^6F{6c*et?iK@*58p*<Y^1SHDWk$P|Bm>6V^H
z>+S{2GqbY5O4G6n{@x%+j!8;q5P0yBLa_#b!}PNDSydC!atNSWX>|t(#tQ`)09_S=
zh>0GsTD>2<It~4&1#DYr;XDNBTLl6?X#n{ldc}o+#SuJTZP^0u?SQojrs+o=06ZAF
zjwbnQAXCG>f#rAl(iN~WfnwIr!XK~*!CdzjP)hx0od7=p1}AWUZJPG%lTCo8F5sXL
zK|uP<6nb&5PoI``eT^*vp1ed8R3(;-NA;9AUU_|-r=&W`8sV;bV%pS>9xe5wxGgZ_
z5DuXw1JI+>wjgjdc(nn>{laU6%xr`o;QHQgvLu*KxscfGRF{jd#~bs;QJytlaO&m#
zjHertRYILsGWB>V)ZKh&4|?{z9&%H07HThI2GzH!hK`=RB3<W44PGeD?gN3xErfD7
z`hsO+l@N;s=NlacTRFX*u=Rs#!Pb{d$1>|{(dh*AkMXm~hBdiUKka7BXYhF{eGWmA
z%RhW-_y!7zZ@``|)`wWlIi>SR6i#s#E1Iw*LpQ}RE#XT?=YbV`_#c<LQ06UJl$dbZ
z@aUb}%-S(s*8SgNM{!;%k|_20ayd%rC>^EIq1j!Zz0(fo98QZCpZo9ot)}-+eY87!
z;MfW<<(ZKv?S+Q@3#n4er&t(8x?Df_l)1OS>xL$RF8JazgMrDDrQK?Fq#@&KBkz!j
zT;Vzp!<_h?1Jl6z`RQm2(x!Kvkq|fbd-lj1D{7tm5f$zTQhBd;OYUD)+Rf!Ykujl5
z?x@K0M$|5oJU@5AA2Q|WgvRRO&L~CKQtWHA^9Ecr9(Qe!10oQJ<iH3=qfr3|Clv5e
zr?%_SlAaK-!-0gn+-E%(sT%w<FAw~#wsW6-HVXTnedFmhpop!X-{^$y8KC1X)l~zA
zrN8_afdbM_N>{c4ef1y6aJxkNaez`FJ~7+t0ob7yD5TK?fd@W9+`add^sph!_>la8
zIYB|ZwR(%KmI^m_qw0CT^T}-2hnNJO0>*|Ikd2s2iiG$zq<7W)9{1B2*sMLhB6R(n
z+7=krF9cr%{N?h|8K>qncquWGN}#~$!SZP4$&hNu-YW?ug8N7+TdEk*sITVS<k8<c
zTx<1BcCDO8Pwq~g1WEf}T`~UF6!}DX?J=BDvT9~gGq;?PLp^LPDEdL3M&+x+rY0_a
z!{#?U&s0M1iz3~<tRXTEV-khlot@w5Cw5nptgnbD0yp5X>93*Aq%^jeqz3g}CIX4s
z>X@ExJk*QY0=cggg*XFLVqo{9pF5dh-&Apc3E*$-6<y&5J|3f3WwA`P0$$qB$KRfQ
zzKdl`XOpU0@mECsZGWY;M&-Xg{ik`37~MMl`lCrIPk%M1GOoRIa{L?C`;f<cp>Cdm
z08$j(>Pmgo!M|hvR6UXL;o;RSa2QMOfO4@2<S=kr2>MFha4($Xkq-ab*w}b3L6^XU
zXk2=iKKpc6g1D04S=kpc{x|c3PY$uc`3Ibl&M>t9AS&jJUo1I6J4Kp+!w+j|-dD$Q
zD(MBtcDX%%Rql+Aot_4oPPB857C22nX4MHbqu+W@D6q;e2o3qKdJZpt`H9ru1<}fy
zF9EQ&^IzW9VcXT2lx$oXwK{7;SNH*p$3aMdj5)cnI9`hmPcT_mxq&Pqxrz;eZSIDD
zAuq`t^GR`$pb1B9RCjRDlbTD~PROb&-a*t%rF1D6XpBt15IN4ptAZVuRYT(ZTw%T=
z^l}w7=Cl4UuwdsOpa);~n`-|Ck}~VD6mT$~p+M6D9cKx6S#qSuD+7|Z*F;1_j1R+P
zt}-Sh$Pv@R()~hM5s+u|$C|<rDn#le;9`N7&iLZ3cLH@RJII6O=;of79~vGm6#k<G
z)ys|g51wIG(fVtx%K5-g+C>9P8p5P7I6xHm_(M)VA^kofNjjXwCB`N>9CpZdH@@wG
zqhh#x-ffQDW(i28G=BV8+EC<#!M)9-cyYhklT2zN=!KnQ@QB|EUoy!ZerQY3S_;s#
z9BE)Xd{xbVP|<8rgN#<6B^y>RVedIwAr1b#lXOp8;arQH&e6`!&fTYZ&BLGFCk+8t
zIAMUKo0!?-KXNh>`QwFCQlDtYo(SB+HP+nR#rH2*&SV4#K%FF+IW#QzD-<x2`Q?Xw
z57@MyXz_?Qp0oD_RYuAROr^?k_^i)We!QSwNz`AcxcLlEWlOXr=V2tPt`_Ws$3M<K
zd*1l>`836(V7x@)JjW)JT#^vzji{$`F(N$Ls=qw7Siqye=b?SNaH?_4DM9!F9A$%?
z%Tgu$LijA2#|6+FjWw=U`k%C>&3oqYF(Gc#TIqwH@AmE#Tx6jCOL?3;`vj$^qbgQ;
z=&_%2C^~TnqfbkGtr_|D7VJd~^z`7SE!F0X4yeKE`%iafe6%A^H;jgFp$$6k>guZ9
z4=wBPAZWwQl;d(d#?D(=OJHoeMT;=dR<(nrCdXjP^j~B5h60|2^)jAbIltQfiND*6
zIb*mG>zQe})arh;-rH+gms?&*M|$_eu}qzQrOevf(oKonP>M7*XL&{l2{EGagVM5M
zwTVquJB<@4sF)R*??#YrDAv}9&yk-ws3{Q_Y4ra2^N%Ba7DyvE^Xeuiq>L=?U^$o(
ze(SMzg1%D}nh4e-lRRxnvGw-ojFrH{Hh~VH1_ggws#>M~xcpnZ+vj%^60vn6=$jq-
z(OVNmhW3+A?N}@*L$x$Du@&l5r|RClW2?Te6oaW#Pd1h_!<zmxw~7Y$K1D7bBaxQ*
zSIt3ns^NkAwVje&WE#9eTSFCb$V!Sf>7?7PPFF=k*WKAzrk$-1$<aNyFdBy@T>`?f
zbVbreYp3#Z`^l3j$V>RCL2sa8MrZ9lJj6q;_TA41n&MPx`c;$9tKvEdmhTtW&i!Rt
z0ye~|1O~V>-LMM}`tTa2;#9|kyo|=lx~D%1^l`(S%j|o`YGJl7BIK2~7fd)knhgfH
zss8?%P!3lc$4F)SgdL)yG9<vdhZm`F`~A^(KlTZLB!WH2$S3Nf0?*=K9?tb<5|~R0
z1oYpTbaY2kebIZ506%|0(Bsk>iNb6V+`Q88e`sKMUFd-;<JID@<w?$h-R%i=ZUgTa
z5F^yfbT7s(M?xj2WmM@NPs936vaJj5B9hU0zw@pBDLg?(C&s+N_nk0U+2qyOl9hZ{
zi9GuvtoyW6QOIw{t8Z857o>9?<q1&*Lc3b|OWF@NSxTznD8=~TsM})d=b&5H;a|8T
z0d8d7mPY`#IdK{+swFuetC{>YZ+iNZC)~Tn;p_K?TGq+#p&V+}t_2roGh4TcDxI^?
zr{t2s1+QR@?!i+9vVhAJ7q=ymh)3;3GX&~l<LZx|T}94%WPFS{>J|gBDklsXC8-=p
zQCvh>I;fAJn3L^PH0qRzuDtF<cONy-{TOn|(NAV#pQL<ChP!jWLxJNwDIr1DUJO2j
z0<H)r(ew{_uhW7HD$aJ(Z>}nd`l(d)nm;}VW67Mh`=DjjPV$97tO@?|@i|YO^y&J9
zb;!J*HuT$-9MW*%R8$MZ2jNPlW!(c`I?<Mv)@aXNE|IuOuP*M=oq3kCy?KiXTP@!6
zEO2sU<S)CjFO{`$rhbtD&sP#^c=8H+j$!t!vp~|+PEPyE0cPLQQ)J;N_@J2=`={t6
zpYGF|XKTGLUhrqJB0%M12mHR-u2X)ViI`#Fm+QA@ZBNfT7P`N)3tRvWWgy@x+CS`=
z5}q@1194g?!&5qtqzK$i+-VOo!rNje^e}uN;o7sf5FG(sP48HL(=8w$J0_Hg68S2T
zSdg`Lc1d9RHAaI?;yE@KOTUmizj7?UufejEsMkmu)9M^5^reZKJ~PgA`bP5M7$b;-
zHN8I3=Rk*bwF50G;az-YE<l^(5&C@Kmw#&XTAqd@EmcqJl#lGqv}i+QSg4&U;n$tt
zmeuO8y(NAu#69|W@EtU<p|f5s>=-}k0u!B6|8E_Kw>MWG1mjDbG`ydUHG**5^#i})
zEibT;=w<aaON-gc^{Wbw!J*?khp(X^BAQ8&v#(7hT3Y|C^JWy}OsZFCK}4Aai;f%b
zi^lsOt_I>qTfeCM75XA9tU&0&LUxK;BsR9wY+*?{SnNUFwKR5wLqxy7TN?y3_&(Zw
zaoWFF@`apd?%i^i2Ded+rL3JGGqci~@qpZG7VfQ)krANgXE*6W9i1<E)m3F^0~bI#
zr(fCy_XaUs>jHtv#ca=FN;p2_ixMrYJaqs&xf>_dCa7k502X(+_~V4!q~dQ~A0BBh
ztf{jTC5w>S+S-Dkg-SfUtV0)rfD?<{8~9f{kH?*B(cW9Norj<k27>2$FVO1n+$6__
z^MftAI!JBTZ#ZOH^neot2!q+|ESOme3;(uTApH+~DImCM1C|iD6irGN?vF#3k5dbO
zYD*@H03z=89aY3M$Tp-KezlCJwHDtz{n?$Zfmu_e^_-jtGzsENT0mMjuyTTo<|}JP
z4B>ti%%EwZhKy0W1YQj`c4%TiJPVsH?`G!bzQ~^}olm+ua_nYv2XGl^Xo7@UyW=(R
z5V~@O4~>54!?*r=%(<^b;v?RCf8#x_&&F=eJ&cVXQKqS-p*t}Z9FZ$d16&LmX-brI
z5M+kS{?4z<h%uodfEb|3n`}Mcy#G%3zL1tTF|+%n9uE>5N_;P^OrY%38(Qpx*BWm#
z_gn9DYd5T0P|=wBTa29y5z)nz#0Zr;=WI#<z)4fxisgocT+p8%Zmu~`oXxb^$o1jl
zBbxt&Qm5Ar?U4GW0N3N>6`P!{pK)d#k7s?-@Ah)<JYrxyl4LJkU(6x7ux{?QXxhSl
zp?a~?-n7Nc9qdS14yhL^SC2w28KJ}V&FO#cwz36nI;Z4?)Vv{!i0QodA^q)8z|`t%
zkRUDGngKF4*Uz&OMFVnZ7MbNS6nHk3E|EeN=KRkd&+YU@U_rp#se9`^%*M~pZ>(Qo
z@rAFiFIX`r7Ef@Wg263%Uq`1lRG9areLR^%pxZ8)U|;{0ROmGs-?T%AbBzuXz32t_
zE_Mq$nLE%(tFW-JR@wX<e1Qt!o>n3eMuq12Kp{Vuns&xL1BN{Ts%HdKFXCPQFZE|G
zPEJk%0e>SOzT&h7&;X$Cebw2NLTJE;19{b6JFdYd$jN+4%#^i*?ZrX|g>k<oEoOxz
zxO}wv^?K&M;qN5poPr&TNaFhVreRMygznp1H5P-{hR@Rn-yrjJ*@~ZXVPK9@Rpiva
z3**=MQ1sx1i7wCGv2W&>^)2M9Z|hi1a01L$^e;lfoSiGx#iDf!bunPpIr{X$$|3~R
z^FG)fU$G#mUd=t*PyF<GsiPaV{Kai)!FvoiX&tvtcGyDqe2e#sSP^9$sWxxh_~!3v
zDGw}s{ybOewxW$PM2P~5ojLwhe;&{0;=v0hIU)#;9$mg0>07qya_7BX1=w3!9^Se+
zX<N<wYC|52oIQGNIb!CI&T*^km`_C7v!gwOlw8U5QJ7j#Vw>$w8D^QbE1O#>@ObR<
z9;VL%^qo`A_Ep%;pbA}QBkQZ=CzXb+zf`Y{>VoEn<<1(=Obt+1<c9v7OEGvX2BeJ-
zAN~WD0(1xL<t6|&tY`9tFMyE+I+GqvYk0*F^doR8_zN{fQEg!Q{Fnpb2S_-W3{T)~
zN`Rr`!yC~8%OL~LM1t=iY-QoBmUVO1IxsM>RV=?l$QxI(Fm+$kP(qY<{e0!%%ph|Z
zNGgE}&9Czy&@!i-%66qS?qkX2ho0wZV5avtYA{`Y*b}#5+My}%`tPp~w?9c_zsT=n
z6N^tgS@bCGNV-gX-uZrw)53zPL)0xLPLE3-STcO8^c2-v%(}7N3q>aHS}b_Co2Mn8
z>f1lIH3IV{H8^`w--K_~2XmBqj#a-c3On4q!ktZBQ;ZwQfdlzL;=?^~+H#L0A%%Fp
z>&9(bv<6_)e5LY()|_jx6yse;U=F;W|Ae(~oCSxj{0gGSmX{RS<Z=>|&Y$!{ezA9p
z_U@^#pWgKW`;skPT`{>@e<Ls2o@G!XI-%^HkUe&~V-Ae_YaVT8HC~fqTCSor!1q!f
zD`Xt@`=zrH=5=P!LvkdeXxQU*PWU&#Y&HD&W&W!IubJ|u<PHE&XL*G$H}XoQo-DA^
z7H$XkOeu!)z6h*oegA&(z%R`M3d4k8Dn-)^6r$50?an#C3oblKVzF?3xVCb1UOiuM
ziC@n<cG7il6Bhg{?&&q!cLCx~1JL#!kZEqgj<`i1(%=b~o`tl<qe(eHtp4u|9hU=U
z%zL02iirkG{LO6Z`Y5WE0WW_K+&yT#4qA>|7j|0RdmJSIx)yc1!?_dNlmJKua1{3S
zrh<}S79bl6ob~RWUH^S)@fRoJXe8x}tF{+c$^t>e5K)>0Ala!oIXPMR`$uF_ukXd4
zLE-WjUpsS_GG`j>2qwi!|M3PghzXp9T`e<i$4sPlzaXI(hq=t0zYsb6gl@R1f91js
z=c?z$#$c>OqS4}u*<4JJ8{v1jTDgA->g$=?Rs5iL8fKN6G0i+(6vg!lpD}+PX>tmF
z#b(FXCd`&#afII=EdHItl1DgdD#EXYfaPmfEbI#np~DWqIQujhz^{7OA7kjRv}Q~Y
zLO_c!I5f07i*1;2ZQmEU?x+}DOWP3`3){}iHLhJqc_W|dq8CF<0-e#acQ=HK6G*EA
z=;WkjAC`P7Te^Pt3S21GP1Q>qg)KkJ#x0Pqrs-;Jr)p(Zx_=*1gpUEqJ{`l^KnKSs
zF&IU7C`in|9Zh)LXiD9y!NN{43M<p)A~csVJS|!-(nR@8Plg`LmhX26Kh;$T@TCYO
znU}K6UgW;}FlL-+@7ui0=y0NU7<XIuvCK1jd*sIsNw-`eemsnbxnh}(1(6x9EoK13
zw6O0<SN(7v5a4(z1h%?k<H4sQYQKYWnROSem<=>T5<RB|l1{YC2v~Mx&lXRBA26%y
zJ3Cqh*G71Yc7g%gg)KNSK-U3O=>UlfHt%R!kC81eG_~SE5)c4M1HMA<zni0fL(i^<
zz@;UTUK-TgI(ZVzhyc(O6@wkuy|~#2y@bPuS4|JEX0v+0(GOER0?X49gtdGD9w>p3
zZ+Fm#4^Z)YxVZ3Sjon=DJj~J$0}Cf;W#x;X!qen`26mEt)H?F`&I;|H#ns+2H+Wuf
zHCXwL9vCJBHoiK)3SB?X$ZB+70TEBlAIj4Al%T~R>CdGF*FBkU3;@sycJj|69E(;C
z7^MB&YDHLmCRfQ~^0psxrbJ5v@%zjSn1hhg3<q%`u<^_5@uw*)Pd$@Z`BRz^FWD*j
zY{{rcM9YvG^bkV9WF<-|f2PflALmz~S?rwC_^6j_$z)C32&6!A{SIY>%vt!Xr#t5W
zHD|s1ieNmjzD_XDy<4!=QvKNYRc6MASHhYb(zwaBa8yGM4;R9qrpBH1wU8+;Fjd~v
zY2lK_a?SzZC--jwZf_#Wr9-MNxBsseU?Q3UC&pVv3;{#=R4>G~H<{CJ8Ll*Vu^`DH
zjbFb<70o#P?a=`SHdZJmK5e7vt_%3CY(gLq%=u0C6OK|Z^EklNW!W;TP-GlU(RMyf
zsKH>yrT;oF^YZqXN5>MLU0%r(tCOn4ebFDAe*1X6dg_m>&u1`x6%}n}861FjYkEt%
zS<BNYy~5M_T)}z>D8%}^;FJzAPeflsguxW}1f+L`g046^fQk{=7lB><`conJ@$aIr
z7ueBce2;(p_yH_!FT%cJF}??eQc6ln;A6c3aT_~;cS?j-`8}iFm6${iYtX15G&?N}
zK<nkMk3WDi4ZTN!X6ZJdZ1mTI9GVu??)A<3zZ)<|0@;+1ufBD`^kAe4*y;r<fW|@#
z{QBQMyaK+W(}k!105gF}gL&0*dV8QNenL}62jGpiAjiw#ctp>4K3YzSD7CG~f~(xO
zZRVoJv}Rip&q2{jSM&2fm<tl>BZy9aFR$4~-uZYfV(k7{QqB@C8nSMkAcKxtfU5QO
zo&tpi=($VfC%)$J?OgL)-bnXM!^n)W9&gy2cpxPebVmFP&6pqe*_;t&^ma8U(#JfY
zHhX&{U<qoOf8y6unN180T;Dtsl7iHKA;L7nA^7Z;EeKRmwZ<O_OgA+YF@H)9#x~V*
zpzqe>;h`bG@qf@YNWG#3!$$i?9Lg;w31sFGFsgGQcdJ=in$I~2GCJPz&P<YuvYM>%
zEjM_6M_+3EhQU7)j6*(@szO)?B;!cA1Dwpv=!j}~&GZ&)3|F*!nj7EjH@_`!&nwkZ
z_^ZwTqD0tD?tJg*MaEOfF&y#S2_R7V`@?$mC_Cbz=!-eR&}4n9S%Hk)mXx{r-!%?x
zCN>_mt5xTk(o3C3z|c4nMByO~qH%Hx3)|djnZIA%mdJc*ez3P<gx^thqYxf1wj=)w
zZG5yj`EYe}ySlmx*nKXnco5L!8k34|D0i-MD1eo`{*HI{y9&Q+PbRCpa=9OoM$bRb
zQ8{~zfEk%R<sz#E93zdV=b+4~t*Jq3=+u9lQ8@w0zDtjtRM4NH3vWx}fXNFqvj?EA
z?t|cBT_C`xr_ayLHSh-u_2<*ut*1T~4-e#YhuGuFoo~W=bNv*5ihEVlxf{;tmLsjr
z?x?2ph5i6;b3%w$`zl!fug&Q}z1%7`AvWYqSdSgyFfgnJ+P6|dLdA-|tf?5lZ<b%Y
zSJKyIP*TV#Bb$*qD;q+Y1AA8as}2+-i#po#>~ZjcU#<`b?=3c%+e1y{%Hwer1m7zS
zK`|h>EXm*d4AS4s?rqlI_p&!eA!f>4>F^2WUfO5}&^&-CX8U!Brs(tY^K*!x9yy!a
zaju6>YE7mb4R_aaWvHetN>D!#P?#-SzWmvb0|(G8!69$~sok%oB)AECs7_L176^Qb
zjT+AxZ6kEyEn$`BF_^EAx$~V$Z+C<A8Vp0E63CYi{GR`T3OYnt`#Sd%gmSZ|rZzU$
zw<=OSS!$7fpv6jHGi=IjT;@zpze6{xFFY9!&tN1&vLa%N(s%I_=Uy0D<#~IsQKbHu
zOJ`Z|HR|<;b1QNs+S<$2-K*;IM<iFhfj~}=m}D&{>h`5<-MnKgeZya+*&p-VIC{^S
zL5owb#k4x-^hE$+1|-L%)8=-o@!KDDqmQ)s_^14n7JYTKwdl((I$rMUh{G77xVShe
z>`!Te$|m{}RClvnm%l(GQlKEQ6E74!E9Ol-9le2rA2}vvp^QJOUZ<K<9h+zqDZO|u
zkPDJF3JYKO9PG#)TsFR9K?s2yG#(StIU?VCv!p&QE^v6@pC2>X+neLs`kaZWT;WAp
zxl%$VBX9*%*rYoLAqC~2xofn3&>7~J^PBcbLV<!FH51*QRm)~%b;J+}N5fnLKNVhb
zczAI-vsRW${yXD~5f~%)YhheXHujkB6EfR_zH9Fwx3g@oO9TnExWkISV8|ochZ`tW
zFp6qzjl{RQvrK5LNkH3t%~;YR+L{X~>O{nW9Hc6}!2{MZq;(Uu&1#};Q%_Z)3^Au&
ziwqex2l2+w%@V~JhbC^wPr+leyW^4&CI}mQIJUfYXYqmx>&k=D<TCCIVfv~AFfH8=
zsy`rvPhiNOM%+K)NivQ5OiD*IlpHhL(^L2SYqLA6ku=r{nDpr?_=+(P1?Uphy^c1N
zXVBjMa6hol<4rj?lCC-N@#WJ5al%J%)9U%5p&<xU;$}uh29N@b6o_awnblb8rvOXr
zgH9H70~&nXSa$-H->`i`@6q4@Ay!295xc(P2>dO5cv(7u<+joTT$gB)1h76!lOFdf
z{R!$eYUkBTB;^&2g~+oE5^r$9ZlYVaN9bCgZ>T_FyRJ<&yJ+LG^++VHrA{DknG#80
zNiv%{XmN1^67R|Zhx!23rb89WfqJS>YOA0U;-znJ_FuN6;MGH{@HuS2jpc<#Hu3(o
zi)W54OIKrwEzl)bypr18b)QMabbEd}=Z4}?7F7_!*o(DE@`FGC`gw1;iqBlbq;^Dl
zMC-TScZAA<j63a4yha2Q6w)X8@p*<2htz>gu|f~*Tg_xlV8PkF32cCQGkjh0V<d%j
z=8r9Q-?w;9&k+gKpXmubZu-gT9`2RaQteJ@85-Jh@>l61iRyM{?{wqw`3}E$pMA9G
z2HNHK_MbeSXxPL8NlCKW0VjqUB4Ikojq?E^IURr2nCY*@DESs|gUa77oKOf{7v~<g
zHc7e_Vth_m-|^|UzQx5iRRQafjn{%&Y2FOVDOJIgie=7KsXIpUme68?%?!`{jvDN1
z`4b|#qdArE+I<(wB49T@xd2-Eqw}4e9iw1|jD|W6JryD_*;<mb{ohvGRNzf^jIIno
z4jl7>?-4kSDSM8iAoa?9Sbf!&r&VCAbpnziW!A+UWL~nVE8=5VNX63Pev2-G#c15a
zmarziWBwdR5I=Q=(7)NQ_aLsPcGpObH|pnZe&UP^rxu$a#Hn0pA)EVDW0X#g?^!^o
zJ6p3YJ_J9Og(RpXoSHZtJj4g_{RR4c8r=J*mzS4PiEn3oAQ}odZKMuJh<u3FNy39?
ze$KR#v-_FROZVbE@62N@Q^r#UWNR>#$TRihr_t!B^P(aPsB)Ay;BVcoanDBbyfd8c
zLZYqT*XBxcJ~c<ceol{9KDDC_ZI{4;gu$P<XsJQeP=@e8;N)?-Y{1lbWwLP|q@KE%
z|3KlrUae9Ku?1XIL<=_1Lj1Pw6_SLM<Rw|Sgd&r@waxkB;-YCep2!gB!!<uQC!yKL
zMTvejXNgabWerzSgYjU5lf*hDk`(XePH+gf;><tOSMEZlE5Nv(XhGzm83E*fhXg+e
z@@U(G=8?`e=Q~6*{LN#B-&LPOr#CG=0&*4OA7b5D?Y&lb?qh03#Taw`$2=K=L$0o_
ziZO6xBuszuAkQ25#n<9-C&UGJXc2tJASRg^MwkD4MP>FSRWa%=Nms+J4&dE|nL9E&
zl91=X#^f!nJR}m|afl7!X5Sgu35}3YH3yAPDkyml&I1Z6A#BJS;%?^_lrg0*W({Ks
zgmptuT;L8z)8{;8>O0IzgNj(ZlYyyhBxPkA_>LJx%|>t=h&*9s(sxs{`(Betbdn&;
zBIG$+xo6=i7l-JKjBy{aR<{Y!xZkYVLYDg)F~5eV#9UR%8^Yogs3MP;PCB8T@*<IX
z@(*U5wOEUnrh#i3T`>6#JJ#_Qkkt-=3O90!Zwubx^Kjg`!e<7MdUJlqh`Kl&Wcpz)
zyn=DbD}+@b#|0vfT=c4wheDvtpaZN<qIz7+W)sh@j(OmxEy#=PZVk~yr73y}Cw#8F
zS3Twx(gxB`R^KVT32#0>WJSa$CKlMA{RTbu%gc_VtM{l@3`Oy_F4s1cGjo5w2dz4c
z${Wr;G%jc`)*x0hxFMxz`uqApN$d4z&{kT=Cz;=S>Z_#uF@tGAG{L)ezvJ{f10Luh
zb?wi!rgR7`-qZbfKxO+u&@kva^IrE$3eR%qj@nMgDFz6Lx{glkM7SgsS=Lpj{^sjc
zuDT9$cLy7uX5atzTJRi)_Xhx5AN#*NH<5U~$0XpST-8qbH4Z}N+g474ERadKKtZ9W
z#3IQ4fqRF}+a_EcsSR1-%_3#kV|~Ol_?*+lzu7p+AIE|Cu0g7<1#N;~V3$dJ)m`_R
zv}V3~aAL)?BzkJ%Y{`FDxz7<1&ef0z3A4TzZ9qsPW53f1rc)0ae~Z*M*m1d?=j4}7
z+%4CTy_-frSj>TmA$M4jTopMx7>AgQt6_PKpGk%7MOYEfqZp$sCxFGB^5;)vz0yXM
z;wBTsS1rW|r2T0Rp6HJnmWQ)39qW3wiYMS~=M8(l8#NFq2sBK3$uPsSOZsz*3%Pi|
znHWTjH`T~~xkOBd8f4m^UWNKOl@F0@$#Y1#KY7l}P8nHIx#ZI7=GeZ|`7VLyQM5A}
zbWBGBN2SATOpS|mCC13&fusXWhlnP~KFH54#H8za%ldfrJl6EJ{V~|Zp!~*Lp37^M
z=?EXeS5U>-+@ADk=z<9;0~k;hsO<f5LDmdINF;PPTvs98i2Ty3e$-7|3v~|4*OQBD
z=N%u5g~oS&owCyhSf|?DM#O*F)NzHp=UKE-qGI~=qFM&r*B))O$}=EWt+E0rs=&)z
zp#|61K6TECwhoByj{e`RDBclchwCd?=y~ZsbfR4lX&)2$?GdoyB*r7Z&Q~i<eZ*>g
z@!wI3T#>#VbP9IxYMLa80dh5#@H{T2*bUKCi(PsCxoatl8D!<lPj)$q1G*hf45&vR
z)V<uhF(9Hd!|@gXvkApa)h%_#$~1S(?3eAHcF>BDWSY*#ATtapU`rPa+I~w3vZujx
z0Gn7H1e4GCx^sGnjDCK{zLA#t&QB@Vxw3*1mn6oNyGfr{@RwMP?IG1l1E>V&=Z*aP
zE$&gYXLERr+{J~gQoh&n)C_LyOnlt&9<?AvjIZgk6{t5jKpG`V$+)M5Wu7^<Rq*pt
zZZooEKS-|d8B22s?FV(4>EoPo<?{I%t;pnar5Bws$s9AH2!f~q0GGg!r^M7=e(u7A
z65UdiPj!mW39_Jw>RK6UMY*&X_6h-wv75H7oCs*~&Aasf>|axlF`1ng`_ZfgX+wD!
zMMs7do6_EYSI5LnigLMo_tln5HqvM)OZ4So?r6?4cgh5nQq=DFSp^EtHKJmv!s+3~
zj~x@qb)Q{E5Q(1CmMnJ_Ug9xeE0oTdSXv(Xb@IHhR9-NGJk`R1IOkN+k1K4RD=f<>
zjx_SFv>KU*dRMm_=;hwgIZH8c)lOw2Jq7`B;4|ehsb@hM_pzm=1>CN{gw4*DA^4{d
z<n6r6&im&0J5#f>`V}b2SvfWgsS<p!lhJ3hTW&Gep;`!NXXS}f);TS(-@fWB7v-LX
zm&_tgA?FQjBmfJ7D94xmh_Bl9=t*Y1mIG@<9v9=MA4*;_Dtcvj%tVA9sfZwF<{=>x
zDo!h_F<3d1B8dWPf?vX?>p9Q>%BHLvaFQv+Onok#LJrvw^b7oAb8kzEc~HLGA(hW)
z5c7_6x#%?716W1l5WG~dKkh_t@PX-#n!)z#JnZ&zfw~!_i4w-IC^E$nLk$v|V#rox
zNKVquvWUmp1orhu8#gyz!Via=Nzojis^yNMr$PtRe)=`p6PHr+cOr?Isfy%~S|u|#
zc;F%eUYJHzOw43OXmX!Ul|K&-MlAdLy!JfbpnN8%w#;v}#Aj}JqGwv|wVi-;S+QE~
zCQ1WNbQ2P1MF=u|7CT%`o$EB`bkVOPgU2fGhg5~xPjYzPN~C}b?wUAKO3d<@^4C9H
zK+)FSvC=1CzfcB|SS-nM9N4srkB|yNDLnAUDIjF^!BiUCr-6aUqbpABJl)GY{VF+J
zp6|8Ml?+E%rNLX-6{DN;=NYy8ql00B3<V(zPwq;e6zCa`rGbp$l$2lZ(Bl_0d>P16
zL(V(bWdQ*%E#YEyM-C5y&bO1~=i9_29rkQml9|m(qgqyP(pV<OFH44gGm|p@o*^TE
zSS0eSSINZLAhC<wAY*4Y^-YsWjk%+sfJz?nEf=BpWQr8d6IL@QpcrWUNJm6zd|dLj
zEcLklpsl1_X&_1lu4`H+obMc~9ontL6VGWZi-*b4T?qnIDt-plZ0O}(m*mWeYKf1s
zDg`%^G8GbUkA}o81f~-(w+851Ct_IXYJqvb#RA{wI8bzIp|mSd^1cr2`DJTDw2^lb
zB{&J$-~sWFknSClsZE^NGNsw`n|}KsaH%MF25MnW%_ab|ge(?QLyE4-y*he6oa9VY
zO$F{uj|&VPJrtCYc{i{OSB*kYX<EhOU=B&L#d6@J!j|sM`qt#fNT@i&JL#)jSv~FG
z#5SvW`5vs}RJnP1GTtoRM^{vRl1rnLjqesGlzRj)!mS1ZH@0&<60ru#v-kax=`#`c
zd9`S%sU<&fI1iy%)Kl5ivB^hSz3*Tg26x54XiO&hKh^uu4fh-o-2>Epkf;r!&F7=E
zFNW@?1(Lsdj5lwEJixozGwkkgk*;{REndg0g#y(nr}vn_mBi?u+qqz)TQ%Sh{{J2{
zAJ7V-A2bkx_5K>71x^3pz3~6~V3)I5kgxt>JN}cd5!93rZhNX|unVh`4C+aH)Y6Xi
z{E2wUAqw$PD&%hbt<)ia-K(9|FsN2Sh9pjeex-2!>zo9?d*>%iJf(px)wY~H2RCSd
zL_@;R$^LE5h|8?6sk%{X)oZ;w%u?!4u;?*GOAa)dsauCMQHDlEwfkU%-6U|S{DabB
z)9LAgO({1GpTDe91VeW4VAvC>`@5-l1xHu8706<_T`l(><5pf*&|8LpDa!WF&f^kN
zCKwy+8&ty0r{WO_ObyV{G#@30OQtBPacA_-`E@;{)}hrxfz}kr4((lceDnxCN1D%-
z78M0F*2@c-9dmkt4EW1<kahL>TuaP>Xj`H*y&R+t`BJmu7a#nUOoDn~-;iyN_#H^h
zUWd8mUZn4uf0uk%oU2DxQ&+d((juz0u&~g%R!i_Hr+hcCKv;rI5ym`ss7<D<04uUg
z8cBdVlPK#i_>KWfLBUStxI0P|Or2WUn-ko)ygQ7#tCa|uv9UM`e-u`ZE)y%}`u_ko
z4=^Fh-~~r&)r553PmuKVCFALu6@z^&9t2u!&QCe~i>cqTn1LPfoNlKXKzjR5y1>I%
zDfQetj~`tT*An@E8+p)V1J>u<FMrC>x9SOplV#Vsn|+Y+1*BYWH*dlKr27bsd;^K8
z54g9`&3iO1?#ejVv*-CFn4p7QzX5dQ0HOeSX~XI6|GYD9nfdh5-W?eJ>(JFF71eTw
z=gxJ?Ij+lI@|WRdd~Uq>ByZzZND%CFV7TT`Fi3_WC_*l^;IlVkPHlwo(m4mn^34q5
zfx;b3OeRPkq$DO(8F%^}#T5W#;6F6qYzvU#f!-9jj`EN}kF%=Y<aa^0V=jZFool5y
zF_%>_CCfjIr$hKo-~xw0N~34alk!E#Q!!md%6FRyx-BKLY6Wk)Gmh~<jO9b}u?dtp
z`3IXj3_`*^<9ql_bI8vs#{sEN&A{-5Zio#5;zU8a7tE~=zjSvRSG(6%)Vp`;a`oL}
z4f}{R&}WYgQ+aE-X7P+k4=ITA)Zp%PSu$Y8-|4=WDlEBV#1KKJ%?d7h^DbZr2#8)8
z|3dm+{Mq@mnKYOrJA1qP2ux3bx86C&CSFoSe^eszB@-;am0MZib?R3JM;i7ZDhag4
z8c1;FE`gb&{7YNb-F{x3UG9M2C*f?%i~5qEw()p!b%snTP<phY@CVgGE_a9^hNhha
zAHlpj+L~^dC#3+k(Q$Zu{Jh54z@Hs-9t^g@7fg(g&nwOf2A-w0?GJ)<N`Eor?f(+p
zy_=Aj=&=$9hWg;+`CrT^v{?G^z3qyl@tXe5_I9i1BpTg~xJ8@c2~{T@TQwrQ2?1~#
zJ!e4!1Hq^X?O6aZnmv>d@CJ&H6$854iv!oED+TrrZg@N=C%;Zr*-{lZQ(}_Y=uBcl
z*c#-`DIH$Vl6}PVyek@wqGDn3e9fei!msrxht4xn-Rh4&GPr^1>u*CgXtDMz2g#N)
zb0Gy?=A&?niH}sJoULDtAGc-N<1-W10?#zi!B=(`)Iuh=ywbkRxxL8AtyD?{t89-}
zHrgOLoC=p-Nob<DYnZ^nPSrUESx%hKMyBoqWJ2IEqb%<~`w_yzo&u3?ABwP5NLC{G
zl$L)K?lpnB!~I%lxTDq)^EQjvUWNi&!I1t?ARo5H%$1%3QzEF`|LF0`x~tVT(%KD!
zO!}Y?m@Xyf%0$ZuBfo<A+wM<=>IKh`LNyFXWw|eAultfJqMo-J3$SMKF=w1R^Yp~<
z0an`K4Nm{auToG4vmDrT(@c5HF>-4|G1<h$cy-<9mD%uN^HSRO?O5TzUk_6eb-c$@
zfPkx&JtcT4jIty^`9CK}n4w*#)Y(C)ZMK2Y_xEo=PI*Tyu#vX5mVXumiJ20UU`jR#
zQ&dGu3g5aHwX}$}C}uDL;4>hA{IY95|KIhFG6g*I(ltQeJb3n)USDLg(0l4HJtO14
zPk<b9d*1sGJ+PyA$*6@213brb(!#$=#@&ItOvpUY!VI|~_NbqWV@uV8#mHgeGvAXB
z@8{zc3Xj)AK$t<Lp1DYp$nDNXoRJP`!6A9WYT#9vP?Eo9DKf!6SB(20--CZ!h_a-@
zS4<YFS2#SN?XD1*6W8_*&sO+7Tu$6@ki@_KOCu^IM&gj|VDX*;Qyxr5;7xff^tDFB
zHf;fKW{Hc@z4r1rUXWZ1E@B0|o1vQ$s){=WmdB=b%KK7O@l7$<E+0)uUTw)^(Kx4l
zF$9sU2ZkWaV#y7(>?9XNCp`0jJ&n6r1Hq;aqAgO{Vtd|OVGfpOgvSdJzj2D(S+40h
zICJL|;_E~$H}q^gxd(C58E+f{X=`ef+b3&@-5pBEA`%Fj0<`pWdotFcNm5u?@mz~f
z=b^E@T3Td5o&r;|K7(SEO)OGr^z@O)L2>cVode7WA>h$%WL74PDzD?271KhACRn9X
zTAC87^Wx>N%$Lsj8`dotxa4`)Vs7h^sdMAi{&o?x)x-~I0i6z>UzY0rTBrd*5WNT*
z?EpyzW(daBl_Wv)afjT6k+u7P5ef7H<<3K%?<kU|cB<!HGGz+?d(WM{0Kk5HYHB@T
zGl6oSU`GrH_<=_xyR+iP%hQq_m<qlDG59q)G8WA_1Gba{zZKs#uq*cbv=<0|(5*6c
zFJzr4Qr?AyPl@LeA%u&Whaat<EFXo-gaf@thmokKso<^LqeX*h_j-d2N#mqu!#7{U
zMp-=VnfGn=*xYdla!0j{&rB%xO|DsO<r4{;o43@e)+SJb$mbqS6Z_2g82CHf_8{8)
zqvUz$i&~+V5(I$=TSdXsKj1$`dp9jbb1i1Sa_KpU;{k0&_Z7#)OzA|CU9E}eq+v_>
z(6v}EZusR}opuNHSH*^^muihoh_O_4>_yQDgNMiZqoA+`rSC#E1|*g(6$&{MBLdZ|
zT|z&<l>R7iW8);rZV*_;u@cbs&x$=XS-87R{?>Wf*@h|H&!D=_n%V3E^Grtk9-hdb
z%Fok(!s=8jaS<bmm9zU)zlNgAV-Y5n<}(Skn*jxFQVovn>-V>)5;0*cpA)oulASuZ
zmAMlPG$B@F4o*W4NQOZ^o)MMYa`tBE5|VGM9>$cgAN4kp-FU`rvi)^owQ40(*U?pi
z$|HAmFnXRJvoPxQo=juYJM<Z~3rp6hbI_H}01cVi-11$f=)$or?I#1?4uV6#=V4Y;
z6?Db>ixZ5cHc7ycdao?KQmb`1$n&DQ_p&;!8{zIiE7K-3)%gv~*+IU<Ng>bXz|8(B
zI55XGaNA3v#p!GuZ3JD-Dp{3tFe^v|j3gCrr0xBLnhQKQDleG{AI8DW^gSkonUCmG
z3fN7}`LmvF=T122{OM@alKK87kUXd)-Rr|qJvr3gGGI^2*os*+T5$Gqs7(B{*-La*
z)M)ag>YNs&ih!HvlR6Mu2U<eRxqM$!-B+Tm-7abe=`?tMUtBNQWp~uNQsExLX!c?$
zgBl@15?qX9&@v^=r2)Q8W_d3gCmsH*6_8<GnKc8<UclF)`$Fo}#zRm(9GfNO!AgPg
zd_5Q)|11m!Rrjt>30EV6N`pn>LX{c8q-O$+EKe^k&!E_LmYbrAtNhGO$ewdZ;Bn_3
z1k-A%e%bI*e(TEqESFN`RSq#>QigPmekVRe2`+H&acTX^f!ulf)ZIucqzppna5SNf
zA=py;I7NaD;%3m{JJd?5JOd`ejyXvhJhG@0yM9f+7zH>}YI*=@&nxhpPD(!Z41nl<
z@q+h(dm|IT6zZ1yz)Py%$UvNO9H^ojix}Up-;FlSME*W*+vk&;A}s%}>vCssd3hQ1
znN?&tAdolZl2TGR<Wlx-luO$;|H#w-kmq(V+Qvuq$Cj0T`WtavH52eytY&Fo9-%_K
zmP?n+#OF+IYA>;7twyR5A7L_3*=VNyos_z+uFf`|lY`^+M;oj<g%`BZ|5pp(Ouiv;
zj~RP7{fw~2w!^chZw$BTZC$At%jbwWUsthb{5!gl;@2N0BY}@aTwEN;c0hFkXa?1^
zJjpna47mNj+Z%M?%T~sHS^bgD3j;sUSox#=Y>)Rz3o8PMZQ6SSvOkMEty>wVig)o;
z9i(>-FMTHqnv~mVw3z?pT3*lw{BCQV{zUq}qF{Pt+@+1i)xK~21$l5+?W&wCZ9e^E
z<BonMg$IHaL@NC}fvxoCv}WwbmpOjucoyZG0)|TmI_1_*xsE3FmX^FW388l32Z=Jz
zMAx`*B|W6>cYMmdTZgLR<(o@nToaMDuy~@V-eJkrww9nnlR=_UDQa0`d_OTMw>@u1
zDsZ7v;w*sVFy;{pJEV-W>7Bq(+%H~L<cD!lMn^vqqs#v10{qy1ljStXR5L5v_>5-b
zZ$264+9N92NiI7*9UaR~q630-BVOcTkJmO0Kg)tRDLAxWXAp2)_{E=(bS~C`+aH)9
z<0!D71DxnPh5~m+**RI^74SpGFW}o(w7AE;ZDl1GG&%rhdkby)%7A|qjL(<$zx{G_
z^996Vv=Y)%eUt?%2Eb`HXfYGhIzf|;9D&i#V8`6TBJ^ryUGBjHhn(&2-@l_1)h7}R
z+d%tF4z0WQoi_q);M(BR`NuE*lrn-Kzn2&wBkNxb49wK=!hyNa;TY?(QYX}9%+Rr^
zwJD^h!mEmS4e0l8Q<6fygOsn8cJB&nDge0zp)?mDcPpbJZ;ym|Kj`#Dl!2{Shaf>Q
zw*rTRB8jtpX(WY-J@x@qJ$WaJVfURg@R0JJ6qD5PNK0X0V!5OSVZdMIzIvzZ>f+*J
z>o33ghPcMoCR*C_2~;7<cq4=1@N)W2|4!<DrS%>EHX)$o07TcNcOjvnp`M<<Oio7n
z{NR{On80Wa6ceyvz;!g?-C&qm@iU8IlQSLQN&eCz_#tsKFVtUZrS<&hQfc9IDVM(F
zvHbVMRc-k0j~`CJ(CbCcfZY%L%hmJxzodptq&<G=6DWCPoBlAT$`ks0bUx+vh<Q^H
zHY@~rvqAYxw|AWq+~^U^?_)|wjyON+BSwXWG%<e!JsDN4F;8I+)ilc~cw$;x%MUOv
zu!uC*1(o+6f{LMI_xuj1EuQeS<v`2&Oze$!yd)K&5E^aU>p{gJZu>YV;M|e?Zs;h(
zZcPP7v0^Fji6MiYgV=HQKkpR2DdVlu&NHZb@^Ll_hIM+c>M=4s@8tB<w?)-?rBxWo
zC<yJ^@9?0)9Wp__#|pQmD%i1(-;^+R@TJ@o1C6wik@sKc_D?<9RwSf$;E7wGB<}8T
z54fssL;70XEf(6g%&n<z(b#tX-YW}q&kvo|1(q3l^9x050YO020(vbz83K_AH|X#d
z46Be38G!l(!MgNE0mEQC0ld|6RNi1(1;kf}gR!LL&X(R2V!-^m0j`ti>H=7~4Je-j
zDIWT7YHDht+64S3Itch1QeFXl5BO6ZK*M8X3rr2?Xx}vu_S`zIpQANoM0BNSMtMbN
zYsFQ_)Hu2r0g2titp~uGvjhH>pzK1cQ$bG8IS7tB2A7)<GXo2<NsT`L&NYxnwgO_1
z|8;kDffSs~dmUH+zjk{NGMU=I=O${Q5j!mbv5G!TT%)L=sPT7-gSv#<hfk6^M9StJ
zsxjevPM6m3gB^7#MUuryQ<3phy4l%_wnAd~H^|}h+tz)3+B%;gErc&^7N;Rca^SY<
z5GQKTMcfvz`(u-z_%F@L1(=C&ukl{q+=70wj%Z?=r$Hpy8`fCZ*GOIlQ)ymMIk@Vo
z^@4i|oBDvDOmmp-o}yI*HVb$DxDIuJXXX_S7+Qa6d-fED-4do{sxO)7z5J&F#E8|`
zKd=8qh4+Qh0#fFA7m`71G^oCT^F-JJ(Z3@l!uo3jWu`N9R?@swRHB4qRheG?6;h<G
zj#MiXU6}~UNtPffpWsTkd-6V4)${w@!dOiZb0Qb=e)LkUA^r|RsB>Yyl&SG&ruC_+
zzmy&n%KgvVVnKGwm8rQbm(^2AyTA<7OguguHY^D47$yQEO;qdW;LDDKYpxOf+B{Ka
z>Z--+%(M%`!{Rdgri)dpbCK62=KK{wBbAc}Kxc2J3Z*VvC1Q|(9e31LcLc?I8cU<Q
zSHIpV!P|R!EFbzUk`sO)6;0uY!U#F|VP0tnI1nqDsGD051_u`E8mL>ZQ2?uV$MP5x
z)JlIIF<wpsK>5>Ekb()8*OM@hFE@w&y_@t$e@9g1HY5_$f1?)%Sf}U=u4{Be+VpfX
z%}Kd<_bynk|Bn9M^rBOt=3U4kVZg|5@#5wb4Pn=|=tE1tK)GKHbV0d5RR&a^7*>9M
zXG65l@(K#V07~5lsG%|Y(5QX1>=6Wq^d4QI-Ir*QEJ`k`$#ex3+T*wl`Yu->{nZEX
z^zVgjpdFg%$j-uxaYv7?Uqk4v)bZiG^0!r-YoMAx1>t$FD@_W*{4fCB4l;NpCGy64
z5PG-yf$M3rwuY-3Gi(^sL>@JL@6`bDU1v<}l(`KLOwS}Av$w>_a<3AC7~-TM$;to8
zKYT5+^l9ijY5hA?sw?L=C92py0O?(`R2e>P%>oQ_x~w75n6dgF-Db6G%X0RZ1SJK9
zwkU<!`x&7p7B%dGStNuWgX(s|u3_|G>@hfqpwWb8=jDN;h8;l&PpW?jEXg&-(yzvi
z5Yq-j2chdvO-us1ZbxWL4`&kR-YfOlWX9d;E1rGp9GY*+El$-&I-jN8O<_uK^HJG7
zLiLSPUIfW;erw=wE&RJpPpcO5&z^_!tsj*`@en4DS|qe6P|f?~`0^1*8s-RR-}_>G
zuSZ?S{Mxh--)ZiyhV<(GKC$!;i2o7vsc~)>6u!l;c@yb!8ceHReurKm1m%Y!#)gN7
zo2s_&VAv8usLB99ZmX}l4tnasDP!D9wm0H%(%w&4)kX*5Dn7jG;fd2FvDo@lO+aJM
zTj8}UG*l%Bj5I?gHO7E<G*-oi)+ZKZysZo3*`heD6)cO1aMKoe$Or=I(aUAI6>LNP
zL<5^S<)PpKzxbY_iiYQhfJg*%8>Q`n8Qp0ICKz>JTIN6fL}AD1Xao?M3Ci#rbkYgr
zxDSiy`iJVnS>GG5De433ZY@|wpn~7beB!ax7>-UK!+ZD_W9To4(X7%xg4DnGcMEpU
z{T$cY3v}Kk+8Z7Pw6Laf`4#3Xk}~TeC+M(-Ik6BRe(VAD06H=5p)1Zc2-Z9q67SKo
z=mg!jpTMZ+X7<(2TnSJYMQa9mP9|8x`_<R5Kk^xhlaR7m#o|!JSMX1&s!ZFiS<CEk
z%I0?F)iZbu|D_E53JYg7$D)q-$+%0u%;&drav|FudXiv^AG@NG#$HL*n3E`&F1l+*
z=`X~@Q;A(9A4SGw2LWlhM3G+!f4}km;`ZQ4<4pbM%OJ<ipHLE-y4jC8bWvscbqnHS
z42bFfx?ORAK&%37hZT;Cf<1;EK^5K5*yvS%@t4Q+C#{7xbt;vF8ixC9nS6@U$G78D
zI+26;`DHMI{8BRT@~mV$%JB3EC|Fn)pMR6@hoh?RA-a!?4~g~gp`+Xgc-ww>+6gHN
zi$?;$cZLJ2FkysHDhY%pN?6d?^vQ!u*>Y;aG9~Ey`W3AR&tRuF@a(A_yx%$pLSjOR
z2r7xmEZJv1KB8%Ulu&Xaq8l#FM;SasxywzoR(k`w15fOGMTQVC9=tH!dPk~g{Y^*_
z&7&$v54`>{{~vgDHC|OGl-W7w9ubiN90)NR3FFXJfaCot=zcSJ_%JmeuSXZx7a&}d
z8wtdQPXk@NuF#1^=p78SbJtm%03N_!&RP~~5q!`xY6Pdh00$%<1Y8c&M#C7NpG=4+
zB_{Io@wv;r#r^l<Y*I$0vAW~m4*#>ds>enaYxDbmcx6$x!MIo$gAQR-_Z#)pF#Fkt
zU<eW=8x|~PI3$YCL>LAwiZOw+*(k9*SYfh}#)raS#?;5cA_cp<OF=<3dsVeJ?*3Od
zo{pmj1r5|m!4xY;C&O<q=c^x|&(8(>_MYdR$Syp6adWuVx$q2~)$<R?vbMo8?g!DH
z{|Y+8|JB$^C!O5X40`^zH3J)hiG{_yY`9eZJ%|jT66@?rWFby~6bR&Br0WBP5IR0<
z@}`$_iv%naYFl!X4Zm4pKG-zJgo$#rF#U5Rb9=wMBG*f`Xm&0~;q2JM&up<ze6*|@
zZgp!%?Ce2ZLCna!nLevnEcozY65DGvrl{|V?^$faiA(EaX&_83j>1LQBoWvUf&g(4
zmj3z@P$f(O`@JS}(qkUA#ilNyE~T;`|Gvyc%2)aqZb>T4=8>v@{$@~w+z^;NTbvL<
zs5Z4LKG@BQNu|P5b=m4+v&p!aa|3r7U*o?Hp7t!u`tv5COK_c?SeXMpp(en$<o5Zb
zi(=rUTy{LwKynJ|PhVli8x@7ox$>z^$DT@E!srekLeRuUIRz7{Wx%uKXHN4cJw0U~
zLlMFxl!91Ps53GBF9+d=kCZjlUJIMz2vA6amj{NO=N;d$-$C2c$DJFu-;s8Brro)w
z<M9fGaTY&*?=^95yLo<&;ch+9;Y_xW0lD2jJkv}N8FKm}@2nOjpa)mhv&-Q?&WTQh
zu|386hKGj-k`kJh+?Ic%v&*+k$17t8Nso%=OzA2olm1hLfE=02v$o#Q4+iM-l!Aid
zf!lh!_f9llM`BAM+4CRM%o3$i^bkR`b8eaGD_U@E1>{DKiSEEAiVjczGc%d8F4cM>
zvCg?O4E$pg;_Dz1BVgMA3`x1^_fnr1G^reHo}&Q)Mn_Xnkj_0e)>QMzC5AN0%VM33
zB77s}4o|WYM<aw=Jp+O8qG2cASv?O8o~KS~<Hx8)@j$Hl0xfx)glO}`9OsGd$oKhL
zAV3tHl*x)f1`Dwm(v<8a-~*5#B%$&IWNOLKWNhYeR;CX1at7;EHXwjV+Wf2Ls=|yz
zrF-X-Qitb*V*CU``J(!CLrgi}XYsn&MVEo~lr+e>)m8J(HM!Y>6eX?_dCWxT0!mWy
z`z2~hq$z6b^(-X#i4u=I!#kpdY04NBb<>gW(-wKLl(tR+`AB>OpT4@C{j(c~uju6E
z_4^Gdj_C{Y`w;}go9c?Np`K?v_E8v;7BT%o17QXFG{ZueBTC=)Mod_LE)5dWRV<pb
z<{3;Tr>7<lHnv*}u6$C8_(U2NPA}K|RRY~l{AUyI*%9eIGh!zUWu_w?{zH`q=TL;&
zKd&9ZOBl3^$7jCWK3VRc6eL_D(B4^wfMm!SryqDy$F->GKfUn{JviNA#u`CzXPN+X
zY)#<jQcf?rWGSQj7ZMUo^7W?Q*ewRGM_7}b?1MROjI}~1^L*d6xkjK|KwMj4V6%w$
zp4F+T|L5f=N6!<lKR4tLU&!I#zkeSM^#4CJon=&1@7slkPIU;85@{Gpx}>F>p;PIQ
zmJS7^LAp~K>Fy8^P*S=}1f->;MBnH9-u34rYZ(mZJhAV+_a&S?26di5MDDf5SE)^8
zVqjYbQnwppzvY-Wu9vauA8^vL(8Q|$3hk6PBjD}}<(HNY!3Mbn&Sig~%*isZH@Nd4
z6*ru1v5AzE`g!w<YaYfEe$?xiR>xsc7fsYtM8tu97jUbzd7c00w~eygJi5;3`1{(J
zGQ1x;{j}(V49Jw$qA3SkU7erenfF^TOBo6iDqu{;n`H8GWf>%EQRApb1T!2uPR{zs
zDnhw5v>CbJuh$Z^AK_Bxi=weRNm9s2>7POZ+#v{+yzns(OpE}oE<uNMQ27J+WcJ4|
zk<rA=g>h22O0&j}uloZfQE>(%K+~wA`f}f64C>nTPg2-r0||;hYO;RGn3}nnxw$n=
z*l3k&ABNnAEv}S-6Lrsg6lRed7?Ogx=V)C%^B#X@-2!u+1wBrxiXlAz?K?6loL+QL
ztkuW)1BPiW{V`{g&(%9Fk~_tL?|f3YB*|4a7@ou!qr~Y_*pM_W`?G4_WH0dzM-ZHa
z7#EH8dD<p+Z#X6@4vR)a^80xmql?T>C;@NmGm1^jrc6AuUXPzOybV;%nPc(4GyFM6
z9-7BQxp>WOoU8;r6frMJLwCHj!Cu04(Xy;9!7SzGydU%0KKGB|MC2s|-Gc-Q6`_~^
z(g3_>q-1Ql^kQ1y(?nl?_qe9je5vB>4zRsJJr9)e`3p@lZw|-9=i9eMcy8P<q{?R&
zr+e%fp$?NqaIOMZKm`O4xxnfJagqLw9se2I+uJLmT4a#8luF#*?WK5*)34&FVTp?%
z3{NwY!u`ae5ufOV>P0LAf@a1GF}7O4J(B!L!sqz)9J{>o*-Ds{54AqN1y42>%@6r;
zPJEdndfFfuoaM|VA6o}F72_7q+o>_{aS~&)>i{1W<=`Ztf>@FkbCGbis%RDa)O9#I
zwrPaL_)mIzMd=_SR6>-19_7Ms{Tk9)X9krXg`#x$j{KDENBXa-j4z`@E91BeBk1F)
z%?LFtQ6&O=VK15On0W$8X=>s+t!9N=iqN{jZ5RAsvC3j8j~-`5+#d<XvdW14dpbW3
zs6iF`&Pa~?*m*rYJ%C66%{hUv_HxN1P@O^(of^KUuPPxQtA4N}IzFW^0V}m$s7jLT
zN+V@NCTOx?Z-n;XYnldyoVPi!Sy~tbA&InfaAEV`yx6wP5=O1=^^pc|D74Z&xrZP8
z9PK3TX%w-|T8;$M{63bjLRa_iST5i{s?<>${4p1{Hg~&<5>Qn%caOWF-P+C}4uU~Y
znp#*CcK8FvZ}>;)l7mdL-pA4yQdRqoI&=x(ZiV~bwaZ~>g10T>4nSflnv@U^00_x+
z^Zc9_1|3gFHh;d~f3=zW*WmYdPPJGzBv$qPhN{ytUH?RV^2WV_YSu9Vpdf3eaGJ^{
z@C8FYm&&A@K~Rxo*9aLapnfj@iy3f5w4PNJdGsyiVDEgZKtjgK<{b}-8lgh+{r7b0
zdRx+O0v@Cfm3`kbKe11`S1OsVXyE41uV=)qmctvXlhv>7D@5O!GjYF99Zz-8#b}Np
z$cwEUhE9NAi;Ze1^enOb)GPoMqtIyUeI5I|4x`}78u1`_0<y`VlCCnHo@h6zKrp5#
z33vF*eRH0=<W1~H3R&xdjHa}N3Gl2qd###q_t}GNm6D}HMMNOVy-|<pvhXd-R`ulJ
z%0e96a9Xl>%W#?y0vKAc1nLLwCw-CVf^pO;whEdsjo>(7;{x7*me-sd=qD0SzlJH$
zL@S9pGKKA7sb&eDNIxdi<e((oG^-U960$w);%+fh3$QKGGoT{12ti4BYQatBApBEM
z)ya#VUm1M}Wy^g@wK{cPwOu_S7=}t4LL(TTP*<2ej295Su7wbLRu2%4i0)*;7%&_t
znE2_@eq(nkqSl<xsq%VcncGe|X}8oPXR7!l7~Tge0;z+~c{c9#)i@YZOz(?1`|r13
zVEo#DHh>o3Q8E`6G8!XQSZKtEO#{Lr|FMSrU!;KwPQjQ>d(dO;WtZCRV2wq=Zq`&o
z@KU(O!EPz1yczU9>f7o=cXt9Q2--<hl$47F`d86lerK6$%j!pOwn<=KU}TL4gHFo)
z({18FI|a+m<?S<@2CQ#WIOg_8*L!s>Ai8`(0iw$g%&g??uc$uoM1jES*28MAe(1)w
zvUTjb2`=$OQXRW0PB%*ciI@GN6SQlC+gB9)bPdQ%P;{h-YP~-c$x`%#CKf7NLs*)H
z5!@F|PLHf6RchMqmk4}dk5erBot;rnrQp7FWslvGBXefvXIvN0h%uLhv^G}?uJkS1
zLDln^Jv<l<ub5a@xpT;1oh5%HfoohrO*GBOmu1q-WddUtnX4d&6F2>6D{U(JVAGa{
zh6ZpIOiq5tNG4Ze2mF1u3@Wzruo>?C`(Bn}+mZN$X{=RApQG`kP7=u5@*8#{(EW&I
zz_#J--3rzs;p`GbL?XRVmrui}p>}IsQg*pd6rX3&cMcBA?J|o6?eq?2k}DWk^@x$g
zBPSO7u%|@S?2GH4S}kPFSOBc!!pFbKof#24>BrWmXqx<k*7Ss40T_{U#%wglDAq2a
zGTf7sllVt}V+2HK|M*#YHHe9L(CP|W2=j#cfBx!*hxT>$5T}<$N^dA{3nN&;+=BPZ
z4d#xtygD_PZE`5>;KMh0Ur5oUJylEk2_6NSR0}+N_6)S@o&NZGeSHliG|`)%1wbut
za#%6eL0Ce4po`9L{L%1y$k{g=*&sgG#8aO+)GjCW2e2FJn=K!iNf*lTGov|`1Pd>(
zmbGXmfTs^kay2#G039%*F5f?cobcB~rU#FO-GH|FMn(@XDbtl1c>vEyL`1}UYjq;K
zebB?0%l!fm9EqEq*194Xa>23-Y49Au&_n0@@9wfXcZ*8c?PmcPw}ROGtyU}uy>^{~
z$4VxFUSQ3y-Xjz(0E#O@Vb-y%Pf%j|>Mc;D6cEsNAtb3&R(AHx;Q|l@gjdRp3y7NE
zf@q}349&&D@|i!l6ym_3W$-Py;P0`66SCUhA8Om%+he}LkJ8Vw)D2SH!Pa;O0sNp~
zOc-c#hx&=Z?SM!{?ILnareNuCZxs_5#)fYW0dBSfs0m%5Q5@<H^8(3mKdvx0TfiX$
zbH~D=vlSxN3D>c6z(4D-s_>@W#C6iL=jy?=RSOEI&Jc*Xt}BIqX6A0CiL==>Sh87|
z<V&{IP#UZ-n(JpQ)t))@aBnPeSXyd!!U_Nwr$<j-CozQ_e3)f1=1)@S;Y|u;7{FZ`
zim<81J8V2+iNRL2k<M@Q$wt~O{r)Jypac8HwIoA+KhktWA>5ZMvXs-6+v(lwt#3I1
zE1Q#^Gel~rr}u4}OwND@#<`_N5z58S4_v)t$2`gj=n5k^<-$t1qO;w`FS`<qYl1~d
zAK=mBnn|F@$LX16t2p;&9Om<D7f0a71u#rJY?>sDbUZ+dg_}A06>=qxT47;gjyaVg
z)QBEOJ|&3)5z+^&pa<*Kk)V8pBu?~0zM#B~4Jnid_~$x0!~>!0{XXuMyjoAPZSLR8
z)F|XswGSf${76+?SqXP+jDQB%UnyV`2EQd>6cZ;hNv+1C@#$OzCJ)L%u*D10DG0dE
zeK&gQviFX;=v)cEFMLx_A>nV5(krh+r#UCo>K9cr?WUx{j<H;-2_W+x8yj14k4`g3
z1sj5RlFJZ$JQ|OmmzILrzFw@1TUhr7pSYTn8v+p=2fSn83-5*loSWp@SGoX}#00eR
z+{4GWU+Xf)<`NJn!D|Jvnz1v%ZAh($8YjUidjj;x%;>&&jNTK7hGhaCx9&ad>KhPw
zZ88NNZsY%;rv@}a<bg@m(L%i(!hQV{3StYKK)_$|w0i9fRDg8>iC-MhEAPO5EZ1rz
zi`}^+dhFdtvFiMB>@xQ6&sdYcr>XxAti{^_rVtdh)-N2;#fs!7-SmRc52(;QL%iQZ
zo;1)(0Xrw@CbZA1<tV+4KMRCn-^`KBMb^SU{`+46<@Xl9%-QRvqOy{mgJX>UfvHUJ
zx)=+;%wzN)_-mN$QA@ap=lVDi`>HbX1ix}HQs`DbhZ82qBWkIGe$C@KD<jmGn%IXY
zqxf)>I9re`G3IxfhiykWqP{@rtIW{8r>o3`P1wp!ln+BlCz}R3u$IUztw^yxkO}{Q
z;!g2Qx%U1m6gk13CRbwNi)=}3T1v%U|Gx2Z5!g$aQ`uV3r?S*^sLZ1_Fb^6>@6Y~b
zWohkCs+Q<g_6le~>_FJaKL^0PD7t(YKjw2$r9n-ha}O^=7r0vc52YC#CT-$;LO8gH
z(NJ+{dxkd1BtA^JFg&#Or?X@RVmQH5A;pi^*WRwD(oJ)t6*?oqGz<@mI+aQAR%<FY
zHcZFQVCFerlMP;_m+6iEkQyc_4k2b%Pk;~da+^BM)DTAdk53^i5Rb42<^e*v(O^cP
z^o@-%l);02Sg;3tG7UwL`xV>)JM=s5xr@WLV7Vuf!&mnn9>W5-W-ku!#9qTdLDQz-
z-LvQ&Z(vdQn5N*JQVWolqjxMy^CTtDRsSJlN!7O;EwAH+q`)tFDkcJfc!aXl1R2kK
zft(IGRG<MP2=RdyEwF1qyDKOF02<Q8T<#zjSZe=*(bNqc;0{A;>aV^B;0<^SqTpAc
zfwv=1t=-Dc?+-*&gk)JTF4_UXI2eRPpm6Fqfx71eT81ESDyVgafIOgmz3_H?1z2WM
zfBE6i{3odaDkCVUG6oY_c9JLv+jt2LvVhm%W6T~ha7@iufc!o5FYM@rImcuCf%+{x
zJ2oE!PLk-GKUbk8U4JjCp?~7tyLWdZaZDTFP^)X=%>e7zxaV{Q^gM6L0iVE#&Hv`<
znOOQ_30iuuOrF`{&`Xiaa~ORg9Z6C&m^WzD6*Nmq#}q)Qzxx*1Oi#$Qo)X$SfoW(s
zLM4a)=vTmwcbl8EdDDUItMT85O9DpaKnVeRdXoz_Pd+Jgk<kwn*g%VF`NqpZbNvGA
znQOaIlM}Bo+-$zO#YO{uSKo(qDF5>UI7?wTZ{bM1bnz9;`ZB*@^C1dD64lVbSI)`@
z+$8qHCU(H2q&xj>z*6+}$&FPOeZJN3f_96UkI#*WND)wZ-uV3tQ#!X8x4pcb&z1_L
zu#o#6QE?jbm5yX#S)cJt?(jJ(I;u3WB=*8k&dX<tUf6UZ-`|g>%Xw|vvls`}XRK&;
z`OH-rtGUM^GUY3Ez*-*n;9s$zXK&)NRxJB6@1H+N7j;z?ATZAq$Sp7KH5Ca(y`}*q
z#W+P8;+BP(2zJl|i$g_cf7s;;unU<pB8*#L%3c9(4{N-mJansV=9V9|hPGV64XTY5
z3z$<7MG6V$w{1#@TLSma*`~jOccon^H*G`42pR0JR`tMp1t=WRTo9_|qo*;TEDy|s
z(WuQ<ylr#fxQ(Yj_ZUBxiJ+L+U;GSoh`K651eCi!V9HcAa|<;^H+O8Y1C6WAFG#8F
z%~b{2mm4`5fm6}M|ER2h*0uWYO#daON%fp{W|$Wv0SQ(>>HP5QYhGRgxeqWL<v`qZ
z)Zm4B6d2;ekPStp<uUp@bTpb^<_fpf_9MI2o;PTCs4(lXG~g-#&W=`Xa385&pKn?@
z^mt-&bC0;ta<RdZKT(#i{xer%VY+E6Erm2GhQ}bi9u5Xh-A7UQ{T+Pq6Y%ln6C%)Y
z^-~&6I$4X_Kw4$#UeE{RN9qVK{=mU;_TW(=wZbGY$P`J)a0`5uVpY(>q>Q4MZFhno
z0FK6BxNEJaGG)x@hl&C2xTPHB=5Gek=4CcI*ZRNCbR=8wu}F5ZUJh-rp;GbSmaOn0
zIcR|8B3($&NZ&O{uX+{b!#791`Zon8sjWsH_8s?}QKuyea_;%aV~2jo9Bqy)`k*%?
z&*5Pl@16yWNLrmQY~0Y6>UCUg(^qVGLHmGvdX*yv7OYL%cP&Kq5_DAcaSHAjjK5M*
zMa=Yg7@u<#O;4`WRk*fx0Kjf%xcBuR;^IPk;l+pCY6Uzq&tSy1(-jBDS8rI>A-Wm|
z^A2L&UHWF$(CH3BCaXLiXZ#RysXu(bkz=wag=fdR(cln(jW1+KH)JFfTbr8r#l@ct
zo{(44#^Bpsxe%}}OS?-@$J0yj&|0(9N6gaF#Ziaz;yY%1`65?DUiCwHt&R;L7^%+x
z)l-||*XH(M8o}pUOMSI-Tc@}oa4*HCk-<>KMl$pIQ1Zam!)LM;74TE_^oM$aKc|@v
z;S;3`Em^D5QeuMWztvLCkP2u<y^Kw#{|b~w(ok^lk-{EmjWT{UvqiO;K1jBQo%!VB
zcvdc5gQb3Zl&;wHZL%63xI{Xa5s1L9ti;~An%7vW%oYx2&A%$pi8g0>FUdz+BppyE
zD5u<eCp{k>iYbN7gwABq8Sxmb6LdAje|FERX4Dqg@|lrHas_*Nn&5A*wS(b3q)Dy?
zrIqOB_TUX3WOlgm?rKn1Af(5bk3lLrE(ja2r6@9tpSk^ORq_)XM<F%;h2CjbnB+qF
z>Twm(raPitwXoSC6KSWP64Si@Q`lTtx9&V~$KAAp!wn0TO&<*>CnH<v^!3c($vQO(
z;KEG4OL70*popgglV1WrMR0Aj8Pog(N+nT0ZR!84rZcv#q@AsOluhMb8|F>`mRYcN
zxlmR&q|iR(n<wWaO*BMLy=SC9T){|>#FZ5$!cQQTahOa<a*3jY@zmWF{_IcJc!gI_
ztBCMSH2V1*7K!R^^EM}vj4SiEmgCJb+M<tRC9FmQ%vcA}JtW#6db-f3JIBj$=1tbr
zQb?&O1~Tv)@LQ4Mac`+TxPSk5xiYv~fj*F)#W%L{IZCtyvy0`7b=(U44`d1hET8z|
z$<SxzY>8`wHi*;HIwo!wCg!3$99){u{FK$%7_fNLRzKCI<geK>yt;f8IU{;6Q6y5E
zMdpUv^ha>0zwDgp$7efGeQyn3Qf9)Vj(HywLUeGyWk<I(w=ROYD2Z56vDiQP;_frA
z5Uhw8Av2Azy#(brZyg*eksOykqD7!+CIoPqoH^frHnGUDNTvrP&ooEul2<FYsWluv
z*3qq1<?r^Qx%}Vb(VQQuV*R@1?pnj5GS3>dYJ4=(FEp5xq!jhHEQ+Z#D#^NVS4IPv
zTYWook_gQYyiIELl#ky-U=+2)v*}u}9fHCeilLmRM7SZSS*nF=0js5+f{D;lx&N2|
zXg+^HyU%%V^a(0$uprn;3(9YU`y=FNkdp+`@achjdWLn|*o>rcbjC{aqRW*QB=X9}
z$$^4M>|nxsbym*h)R80DMZ|gp)McfLDQ?j}wK91}IIS#(aygO}L!=}X7aW@lm=lm0
z#p$C~;~D5xbh^@6NBJjLLa=v*hrCI{>^1R2(f6aRxYIq_{r7C~C<n>N$)QG`bCKI0
zUlU`ij)*v{7qH=9^z@o$l3p3N7x|RI?>k2!&fNaiOTe7ph>9pru_Y@i9*Qjs*=(`J
zZ{ZT7N|P2jyo%~nQAFHBfqm|iwXx9eGH;-rj{1Ow8_sQSi3W?n@5Ib|;9JP|e5sh0
zP$8N=<Fq6@AMkwBG3}oUB_UD5&G8k2Bu$Hm0~F10!cnAynbF&{1z|RGH%g*Ec7%O)
zbrij~`KnSKxdsgKt7GAN7G3~ISGv~f@82%isnHEr^&Q(61cp=4!Sq|?*eu&jafo4{
z$$|NJcb1BhcMNGh{}3~)ix34Y{Xk-FtgG&Rj;{Xn82t1Gxw8M^LQl1X)KLDL-3`C^
zdkO$r4M6^YR!C3_cn>D*>-R2tnkqug;z3hh-3?jB0AM^M&=ZiTo#rjLQKM!GX^};i
zl2nCp18tW)v~O9OfxSKuN0u=%fz#=sn;Gg3rI~{Hy9zS}2AJ~o)R1Petr$rc|0mv2
zK#O1|c5A=j#8*3yLH(rT6lSRpo>zN&`#$Bx%R9tdpW@rnFPyNN&uwKdL*hP#)7ohy
zQHNLp=V+Z}6r483{PFzs%?oS|;3IjDX<o5lFH37z&c_PcWrZ(1P#Jg~7heg|r!yy}
z<-Nfo6tC1V0jJiiGh^re`0Z#ZMbi*^DO{E7sS>kON|*!z1Dh(5LF5o$J8FrF57z)M
zzkF;0ErJ*~)D(zkZ)fIIuHaHBmbQ=6WY0LT+)~`1CSDk-EYA5VDir!)V-+(z{5czu
z>XwFx1%<$2p`mt-p#PB~<&&FEha=vc(<7`{0lgVa_g`06c{->2A)-ZEhTp&<4{Bfm
z7aQ-583K`dFK34=bRyZxFiq&RMMSRHnW1*#mr1r{Q(K$CM=fW|wQ#Z<Uj8@>!p30Z
zk4M$LRM96PM>WZi49m7Hg7F7Z-9ZD!EffU;jsT8k!~tZa8Ls;-_!rF7{z9>!J58v!
z5oH~C!WW9j7G&}k?5S)=YmoS`Wz#oVJ6ur;Y2oyRD6pUEgj*yq=Pc@AVhvKdDc&ba
zAAjbxkR7oYZFuLbnlKY{4n)^7M<yZf`eT5^2J%JbD+_6|Dtd|3&oqYj1Z7ve-dsHc
zBdL8pKe5~wz*WMYkBWm$d8FSP0|<$|I47eWn}XQz!wk*84KWQwQnN}&z{>yl+3%lw
zVi>qJw97X6jk0=YGC5o+UoEg{m?ib%0z4u)!xs=-(SpUIudUx)5^cT6!UHF{u4C(c
z{cLzR{8Ys0<xB8jEiC9~sRy9L^!SJBD5W`BDsm<^5-65OLNMqWO8)HD)^c?cf`->0
zKj>jUl~;K8-dumMG|W09ux<=aW{r~1LHa~&O%F6lJBDKC?bM}ulp_57*2XQk0aO|P
z`EcEh&TF3qjkUTPQ;$xGf)}MplXD+TdZr^g--`a`>ln)tP)UR%IZ{EP&g|1uS77~~
zV0GCgHyWx39p^xvQ5f6N`F)SvG*Ff##V9YPMu#x<!Qo?O0KD4D(q(yQw9?&Y`|N5O
zwKPy0CyYupM(4LKd=hUV^|u>1$RKm_vPuHFK_wq_se-@&GoX_XlE^#3)vDX?ha6*K
zEBNJiL2w9{!N>a;e+~`~fDgqV<^`FWzG8ZAL~QDr7VUQy^|$t8zN~qK5swRh84Od3
zCJLf|8I0f~{cKGY3|B<3rw)VnWxtsswD#{K0qh_U%zyGAhK&r^)7AA*N^=h2G6P$)
zU@Sg<HZV9i_r%oI6^R{B|22MfBZ%!|jNLaMdDOLY_F>nLaug)npU*n#tt7GpUA|Au
z_%EA@Jlag7ju4{nU00d?@|*@6b^I(Cepp&mgNh<pEJ&M1M4tBSbvqbJ=WhFGa->e7
zO}+N%)Tp+JBcaKop)3wpjFfCj?B^njdv{psVD@UUv-hk6I0t!*&&QsYi*NPj88YEB
zYVf=;O03)5sb9Ij!B%_lZ8$i+qE{OKK1fiR?8O(0U`olS=DG=IU%ZzBZ!B|>B;01o
zYlX7vSZeJpyA*&N9K*U-_wu`AO-bA0tU);AjzX(>$r#MBnwKQ70Y(U<TpPX#Y^7uG
z7^P-OYZM;Ra1O+5{y6jQ?A^Nk3pzV!CEP7vBv;-hq+Sx^V)*M$XOk=O9+h8;-6xQt
zD?<S7Z4x~t34EPxf)^MF5is!hf<-tLs-Sw^x(s}tL_&RsU{3M}%ge;?2i=oaptc+X
z$F3UC1)&fZHVsIpfkDVywqTG5pn&XZMn6uBcpDn)q++*1xW%O$zMMus7RoNXCv7V2
zXHcVzXJ(-kCK>%>;Jb6yI^yjj?<klpP-DBjD&mp30J^9e`e2y_!ny6v2t<E1YvI|P
zU?x~ACnq;ISfD%wY`NBr21Q9tONV}1df)NnQE1Z8iQOlX#193ntI?eJL8wwelT#cO
z9TyD-mkDH!kYTk${edE(XiM|#M__`4RG;Aq#zW0_?V+Ke{9M*fcM3GYpalqY<WA;n
z1Yt7~=+U>vg<?7ww!hW|AMw|(3M=F<U0gJnzHhs>1_lONH|KumA+B8JmWr-9iubEk
zlHX}SFs4lM+XOpvWU4$|+`^=>*q^P;Rvo<buPnXS_r<Cn)aZbS>b|?b?!=`q`&?t$
zASp#CO)#fQeRUtugRDx0ZDQeI9B6*f=J=MZN~fHion5<JyYioVOBeE^Tl)&QqD;T%
z-bzQ^@q<oRAAcVE!O^9{m5<RGh>4b&kM;HS5vjvPNE{k1HWHq6<xZ_VkM^wB+044k
z#5Zr?rleAq-PYOtN~AFEv>BG$&H9TQ6);Lw5PCGGDMBge{PHdrWFWZeYlj1%CL9pm
z+F3ixx%{)TcDGU@cJUGX+&~F;8S?}Yup&@$hm1W!&1Z_2r;dXeyrh-?Bd@n?aB*6f
zw*KuCz-jR}9)vOxE$|43)2)qMKHm>FCnUqKEh=IFD4f~o)hdR&A3rQ!Gy~KLW1?#D
zy`Lv<+^}2v4HW3GgE;X8(nJWPfSo-wEKFzz;0%<^qfF?&X*|td0XlpvYJkI1*Kw*M
zgXjjhP=bpI+mn5&gCRI<-T48cFb*jV;O}tbRSjux7BsyJc?#2p(QH>^PaB(`y;~6g
zm;^}RaWdTXznKq3Qwlk?(|-HEb#rrj^9B^w{}xw<rQwzUw<6Fad8QpU^hXdSmcd3n
zxsMt$r}YXLpOYrJVY}+rDcY2+K2?KD-SMW2A%}Fzi>9`3anAgmyxG@pE7wKGl@g?z
zlcsJz*^0(;0X_kkF_o{@FCB6`eX0v)>`rUloty(;Ru7!ghr^Yh*%&O*vd*@)EIapp
zxX03|2i6&_)@i53v-i0wAJjCym`QJBy95xgEpCw8Xr+;K61^$w`FUV<L8<`zmOAfK
zn3Sz5SN-^Bn&jd;9>_UU0T$?gP+({D@nG@m{mNz_obCWx&<Mc#M1hSGjJ7&Y-aCQ5
zUGb}mM@kF!Br^o}RE|WOuGsCzPF=b*;W)Zo&XjV2KS)?32^+vwTUiEyfl*f;UB&ew
z6pWy?*_CveU!dy9uc!Zl*=ls&2S!*(%)~&(zZdU=!Sq~4+;6w)+j#f=rls;eL;;66
z5cS@?`TNpAoLXHTm3mrAbK)H2QBv3q6X?O4p^(tfNAg|XcM&IZ1N}kpR+}LTh6bTx
zVL$-GffTo1Fft2Ah9li6%h_iP{Hagg?AQDHA;0GZ@aa;Avm1~7#d0r2oIZ$s0}bh&
zIZegDRP4S&#H4y)=q-=@dRE&Ij2a>+MtV??M^m)i<?m}};jf?9?;Q|ff;Id)Whd7C
z$pK;H$9UW;YdGm9_;gStnwKiISlZl;#2u($Zia$$?#akSd2Z|=opKrMiMAD96$dXa
zZtlq!`xPMkt0>bP|KgvAPZ(gAjqd=b0LRTPVA``r*A~ddhB7_D4^Ds2+UII{?^JJt
z_63<mRAd@~XCZTvvWDAA!HmClu;1Fh%3<V9WH`f^SeKYG3U6y;mY0fS-HbK@oHYU0
zjdW9|ys@R_i%{6mZr122)to!<o=$1kKnwRh=(i1&?3&ii7Pt{G>p@n~BC7s=D`#hC
z>(`g|XK}reOA2o<4AMs6zg5p7XPhx`3d5x-%|lC~S6C<V^YF>!sa_X;A}}#*+_PzP
z)M2yK?>)7DAb}k=k>lOs@-0gMgzAbgSeRiU{IcsPuz*j9we2-wtCf%=(3L&dRzJD9
ztVFB>3qa4=J(9ZzoO2FKCS^|pq|4sZ5prj0Mp<yjSqfqI92n$b6UnzIvzb~K9tSMR
zI54?5qn#OnF^IYTtR~?v7s|Q)3xmp8$L3_DdsA8Ia{O9jM@QE17FeCfM&8UR5gvL_
z&=iVZ=iwP<EVZq0^fGgtue+^w<|pi!$!viiwEjR@MJ4<86Ow}$0J$&sv1gQhIq%Pf
z0S2`;Ku?!Ub-9eQ0pok)E8QZbZKDBT8T-Q|bUU7l`{U5`ae{>ZC@Ef$1k=TQ(;=iZ
z@9#$k!vQWb6~-@tc)xj7r>Lx?umCf+x3XeP|Mwm>Au4saEK&v@U&mxv@Kr+{S1SmP
zM{C1xYV(CMzvpzQt1%G8_$QT&M)}Mn;xfhZx@+xt6U=<dw?tpfgkjn&cl$FE<|?}e
zQY%y+ehZ$y-!$jk-eK+T-l)e`RZ$^f*{$}yB3-?ZG*0$#Ln5xgMTC#feRiM$TzXR@
zfeB-LWCV<c(VqHDMCI5h4Ph`;cKbJ(E;aprpXorwjjE}RB5$h7)%Ogu#D0nDx%r|3
z6)ZYGFX_}=JTjjeyDgtx<?9M5*QDfVfJXuSInC3eX};W%_X^4vV<q2Jv0HobY&`oo
z<D{CLQTh@GQ;L#+2n@<&RvdG&V=$})ER1<LjpzDFS!oOGKl#?p9d7ydW0on=N6?EA
zYhlrEIxPH-5}X<$H7*CnTbICeNoASo1owQoXJ{@9IGy-IxU}B|x3hB1N3VgM2GD}@
zZcsR+Y0V^X;a4rrEw{`_Qa%l0QKxr<Vla9IS5R#D`~q!q`o@SR<bDHH0@shq4uW~M
zvzFD?Wd$1>OvyO<ulfZy;DZ5%|J8@OeD|rs9hyI-7Zqy3;dNGNHLshGZ^v(pa;%>$
zikf&f*Eu}H@B6FS*0SP4*-2ntG3A;2!zP+*h2d`nq6?d*Q<ged-k3#`Lm&w$?9er1
zcWwHd230YxkbpK79{;GkSg}wF7lF$S`klO+moAJuMntl|cY%^@yT;i|uWJ0`(Va73
zC|zXgbzhN~2%+b3ynr*~{M1WQ3gUlgs!`#cvSWQG@oi@Dor5D~nd*=HkV>7Ul32_8
z_rEy{o#>=e<uq4-($B)yb4cRwN22^=169mv#k*B400A-0NaVI@<^Whp-(vV04O9^B
z9lq#Hg<r|nzkJ)jR^U?ZO<4)o4rWe?V3W{bRSu2=E=)l2&d$PJK_Q`c;U~1|Twr4f
zey2yc)Rb$n0ceR}5X~GJ(_rnaOoy%W1@IsVztl@XzzuNtD7Hy9<qa@dsl?_;vp_d}
zabGb0l>)Io&5r;~MwG=o71Kz5+hAEWS{xXkbrIVj&NwR@N&uG!2dar@llZdmJmV;N
z72`rU%*9)Ffcq&fTjDzUlTxvSuNL6Np6zx9waw~xu-Ak+z9UQBuNvAtba73vF@yUH
zPxSgxq~tSDVZEHn7=J87Y%{>PQCz{6SSG4IR_M{sdEY(pfA}&?eRRS0OZ+ODne)4t
zuKsw!io31L3~$P_em)v^8vCY+<c|fro=5v=IZta1S8ygDZ@7K{y<9j^f2kQPAP$Ly
zNn-xe`>a7sV8@wKIb*k|LAxX@@=}^(1Nfv1OuP&8esd2rIjzOO7XcDcV}Km*fk$vW
zT?Ny7%w|6gvTeLC>^BSen8`FFeP3N1nJVc%*UgrDj)pJn<AMVXbL3<haDWeoiC?`F
z*8`}c?zZV96`F^?##Keemq71!w?n&a#(w!1Y#Lxxgxn7P@`B2ipB!5Vhb{S@F7*;t
z#pMsS<1@iN#MuSE3Wis5K170Z&*GRra6V1#mge+6o^HzEy2l`|X^=kOoL;}O&}uoH
z!j#_4!Nzt_EyAWe78RlGX-<HX_zrbMp2u;W0~8;alFF7o+Ju|_By&Iy=3<09J*%v>
zdBymZvGdy}MytYC4YSc1u2i~l)e`O_DP#uT1=uBcXE~HK(nZL0hsSmcuUI$oc|&>=
z-q~lq4-fr@(VeM=iP|9xj2YnEcDunh<_#)9^-h-u^s%2SOqul2oJcu!24KOA{cE}k
zw1+H%9G1XD7X;C>rDzlgqiY?OLZoQezxZtj!B72jxtf}qtn_DZ+7tONU;(ciVg&FD
za>L#-`mjqJ*CXiE6ubdNucoc7Y*+$ft&l{?WD68(u2#&*MKT&j6|tg4CrKnRAC;P*
z1q6C{dmZdaD1usxw!9?CX}$Z&rxp~?1!O}56;kNQdNHGa+Fayuh;$oN-gL!stpY=F
z{yuP2@dbb)$zVCG==t*@;l88kcmnc(0rGL2VN3}a#j7K~j9{1~ybx7vi!3Y&DPU%_
z7I3}L16V`iCVMm@b3(c(;-LEH3FR}75%-n9xjR9>H&t4%>}{4-f&FTB|6*aRr;v0a
zN3va(us*<pjw~ohURFyZNI{Ao7HJ{z@LnHh=BQb8ycAF;bSlx%(7?<nd2<*oUs<XQ
z4uc`p15iSyLC;#EpPE}>DQ&_Q-Dgf_!I``Jft-RGp>SIK=QP3S{ak22sDlf?-m^>_
zQudmp0~_vXB_W^91J52U(waEJUz=92=+7TuJjw{sR9~C+6%r}zuznU)m<(0oEKW?D
z73%|xk<tb*sK)P8W-Q3P7X*U^_X{XXo+~p@chcgUHF2erxZo2{{<_`5kz&prFB$!m
zqmned1sdpt=2$atPLq&!JJ;Y^{Mw#Bf@{pG9z5aJm2W2)y}OQ`{^Eea7DDkOC<imB
zEY|r=1B)y~U)K4?aSY%VfW~{_^O)t92~d+sL4yTRztn;BJjFUIo&>p@O#nL@vqS(f
z=Z6pIzXYXXBpHy%6ZDVt>ufLUj)-ww!lIqOVEezTWTOIC1fL>_%wEu?4H&Ukzf73|
zB%i+CP9RBGPKZ}$)|i*3(EW^0pI4WgI{av>4{Yv~U{D1{F&=8ksf1D>Ne({adbO`5
zMl566pMW@WClQ8w`?gqw=;PczcnL?;qJbtpY31;al;%F_qzvwbmUVdS4?VF$QCJbD
zygET_FQ=PvYA|t!X7V9+9<Y-j6+tDvr6zR<oH}GCO<aQ|8E6-|^f%MHZlvb&FMavY
z2<2_kz97+YMu?el%E&6O%V02ErRQn5O4$#eI>ZR_$Mw+DN%(6qKS%=8J)@-y%dW5F
zlRs+2_Nw6tEkEwrw%@KP{x`DWeridL0;9^6fKSvs<Q3gks91OFbABJwkLchE_|W$^
zk`*R#>Js)GH9nXywx!CK!yLG4y))oa0D2tC6|>o5Q2DzV^u2&Axs%O~S1A}GI5vY3
z{kcIv%+9{N*p8ot#Sh9kR3wr=-k=hQgo-S;vLhxrjHC#RZv@-Oi+B<dCsR`z{O3dp
zk9ZheY?7_a4N>hh#oe-GCf<jeqvg~W%PnxRB%&`+axycNt`ws^el5?EWX(!v){}&y
zTR0dc`nu*jeg)@)K-W$3jeAe|iD^-ow3|wRT|iaUAjJ~yH;X`#!hZJ>hNKasGmm9O
z-xB>8FFnKqDnmhdYyp`GYpThENu_I%WK>4Xf}e|DAXQrNKgkNh1p&;&{H`0&0sgBf
z0my;%vFvAa$2u&@dlxrAw(9NeWfD7y0O2T55e!vX0Qg+zZgD0*WxY;0U|#070TB$?
zAM;+cgCcz>r0Vo{+v#SObH_%1Zr2UUx<Yt%Fzd$%02C6)B+z;6?<9WSXzB%a@h5*b
zo<PaN>Z#p>#YRA8^_hb@zQqn7>@Iw59n*pemF^@`c`yGddovQEqfko_ZUk4HDo&L@
zz$nnmLpKZ2PUawyMm)vzshHwh#E$dGjNP2q#TbbIsAWw0qKX+iP{C_1@;wGo#9Raj
zGvKD%*YC{;keN{zA^eUCY=YZlUrZx9nU@CMr%7YO6F~Dd!cyl(ej^U^gG9+Zg5_Z{
z66Yc7po?4n-#m*K4?H!3oRuFYm-rnp)X_a6o^LW1Yi9VP*>o+RtyrxcJN1hYJ)o)K
zIjrW5PTmvqR+k{Nr6&F&rQH8{0iJ9<bHP$5oTKKIe_3y<wp9$8?-@ykSc(L9+8X)H
zE9UkU5RK*P<U48#fm1Q(pg=6~>(2)7!#ra)lHAE;o2B1CGnKNjv<%^zee?_VVW~g&
z)<8mWsQ81@Cw0qz_e&f$HTQ?HspSagHtJ{mU)jYbO-dqB4J<wA@l)lzXFRmC(Nt<i
z;~tagV+elMS8KvgcD9hFU!v=(QN%=EumAAkPE5Q9gX7+ovR*I7JI`fsnXC_Q{wY*g
z=|~<V<q3K8>OoUTtvo_19Fb3)<sG7-n7+$INa1CUNJp0StH9*vS~PPI4F;8pMYOs;
zbh2D>s<!SZu6(wQ+Z2N+z>^~IN)oK5ARej$T&3bLuvoHIcesM!C*(~5xw(@=kS&G+
z@iqUTyk_15|59~kBM`6$EftXE3G(iVpMQG}Ozup#w;+KH@G3GufdkQKKuStiwgRWA
z9r1tH5UaDf^Uy)<<IV|qjDh3C6D)txC&{`dI540j`d)2>b)P0zLww+8Q%XO>06-4}
zz;I!}1f@ZIxYT?Mf`LF)x}F~t^DucbUJt}16ThF&pZFw*Yv$-<(-1QgPU=in_-e}%
z;`Ao#KTpSrBuZkVU>aPQt@U~($4^H|sPNeNu122dweAUUXu1T)!N32UC;)f#TE6NZ
zyWjZ=IR}E{E@T|7LG{qAU89}4gWgQljLrvU{;)or+(&|zxaFjBu(;BBqSojy1XAQ>
zviX`H<!}))3_8-RXGR=M!Rn8tjS^_|5tdJn%%Wj1RuSf~W}jyu{8KbokmPeJ)Ryy_
zE>KN0&dZ-fG#L}dj7nelviBxg%l}0m*UC5D2j*E{Ehx8xq<Qno%u!I+!#}%~bU(`+
zb<{~y{b%nc{5YGj;IR6ZF$lEmwxteTB@shm9&q7TI}-%xcQBFeH>;ho;~D^>smj_V
z5Q{Z0a_S;}T9vm|L?bi4T8y<Rt~xdsCCQLq&iFowwD^jh!ix2M*+VX`Uyw-Nz={di
zEaaCXdJ2tsh<tX+^8`EvMn*^4$2jP$tHo#u!f1k_AC8!Ykt`g<FY{saO3b)tW#l;D
z6F%wWq3izpLN2emcxbNC^$0x)dB2ol<PVvud$bj)da*OJbEt@F-&_lY{GOmHFd*b0
zfL-O+)>sSIdc6CXW<c0zkh0bnZxF8?^qO?q0-nsvyUVq1U@-+&q_=MuhD|U52N`Oq
zhmvuQZM(&wo5Sgg2*e@x1A-C+yqHb@1I6gq0H5!_mGC!ch3o$7(>eawa~YWZJV*KF
z{Pqpk_I#%SNDZ0_edJ&B2H$|}^5r1Ioa1}6P-~6_qZISI0$d=7kn!K&1)fLn?1M+q
zXBd<XdMr8Q>>!H7pm_Cx`IGj$-%D#C#9Xv%Z=Ep4nG*$<f>VFSk&BKeg$Y}+65VXt
z?`OG#Ca>=v51)dH85*u3qEG@9bi*&ddjfmFeaeQY8VJl{KCa?0I|*Z2nt19+GX?d>
zavBz-13-<+v4Mdj%GpH3XFSxOD5yO$(d`e-UDWX(oNmxQiM9!6@TgS^-i;U`6eatT
zBP|u!8xY@H%*i8SO<1nZ4BC;H6wG*<=k^o}C_a3mBMVj!wcr_9OYY9sVnGxE3|-aj
z8eB?boPw0}TjvRX+*b==dq_Vj&>1@&^<%ZgHnf$jBDT=uu)gAsmj}7_<~K1_ud>wf
z(jA_i6kH_#BAI6tq)T@hbW!aLMm>=SQ%7?0#iU=ifJgzZ&$UMcA%zk~E(}Gdc^~W%
zr#RT32>Mkh(Ipo(1sE)e06-2b{~%G?n61_-0UG8*LNLaJw0`fi&zw>%H8tBW)b(ic
z#F&>Jc&d2JZd!!H&`CGdC*{d>TIw{ZBDfr>2Z;mo%yixSx_qX+bI?W7vWVx6_!!L+
zPP7e?lN++}o+@O_=-9+55$N~<<|y|Y5aifBDYyhuH@YaOq`bW*mg3od1Qcy{F7Dld
zi&WnBE;LCN@z-`XCGSp7WRZm$F^uT+Xl(-(F`U1?obkK)Dk!wt1G0FGIUd>mjBjp2
z{If12+h=3N*jM0bd<z`JZpP3oB0D2vlHy)p3wSgx510OHZ1CR6hDH;!-9G@f;|f%f
z&UK4G3+F#To@(8Uc?L?$es=}rrl+F>K;F9j$J=1kk$bn0D_XR12QkJbV&4RF{RJ-6
zV&LR~_GVUq6aur%pyRjyZlOdrWGStF`yX>~90dDsxTJnUra{QT^A76)D6?1tHqy15
zq}97t36}NTD6br>a%=_oRg$Ulk{xMn@<!{*#wvCQB~OKX@b`)uMRj6+T}8|Kh234-
zO7VBp04n+68;ic<ciHGZY5IVk6pkJI###{?&|Re;V%EI0mG!Q?<va5LbrGDFz-6T(
zv`&EBfo$E9jtiTicU>=`%8p2ZmK@jB4jIJ2)uKWCu3%Ph=TH0=7REMn)LBJ1VG<TY
zI(_8)d~1FKm{J6P1F)Ew1}kDDE-O8O!E?>ST@d8p=WjCYJ#4Gm@h+6<U`|boco3p9
zoumZ|G&8DejpC9F@JOu^=J{vs=5{{x@)-Cj*tT)Q6j<V<=(*(OOa9od3_QhujwrIt
z0BM|AqqnxUwm<@w_Hzs22$p@|GD6)GPOSIw^Dwh|-Dhf|Ok-cGLk;t>c`)8#;Q>d=
z)bk9*Ryc3wD0pA<_fVb;3bE$NbIVXPhWP|hSyprxR!x-4U*U8`U=zbyswh6)?>OHl
zXpoh_mWlh0UC7=p&4~VzSzoWIiA+BFb3NIFL7m4-DPcmToO$?;_A?39a31{y`cFdN
zq;Uh$`#kWr2rupMG@qj8e#Rijm@H-Vc(+strc8|6(oZY!<2aua!mx`b2#Q%=@bPoL
zT>4$-FjrKOYf>0+N;Sm`B;UzjzC%11*<qHO^*cft;j|J8bzC@Ge_DVGItd9f%Kk4p
zFI&OM@d&JhP>BNt`X8{m)opn00Y_LTcqHGPCW1-e<Hu7OX=$(kD0vSOhknATtB?u$
z6QF31y|ZsG>piJ%4C7h3Ud?G=6AA4=N0)v}j?0M~g!!;Y{hBF1MLUJIR9o=`>utEa
zLh{Rp3`IrBt{<+@ki^W|NMeGxYE4q9;!Bg&KR!oYQ>~XHzIxr_N4}#<-Km9WC{nIs
zZ|Rf4akcZ-qhws)x4M($6J$07pZ}`YA81~$b~mji3iL)OUEReR@DCaeQT!t!fTn+c
z&UdF0@6L*hhhTsEOIIA9kWsdGxJR75>V^e3Y*ZgmJWj8x4;@JhgQ*9SQ%BE#D+w?(
z0hNLzS-zdCRxK0OOU7O48fB&GQUr^{-=(8zFa+GIjapqn{4ulp=0|Mm!`Vk-1R>XP
zi4tts4nyB9j}vmy9r!CVKH}nf!oPeu`66Bz``(81`R8!H8f~8U<Uj$o%^-KwVxpth
z`DKUPQjDXi!q7`|^F6xo*~y=h;bEGC!{NV-vM6$eFquN&?TTA;-@E*8PesJ1d@K5_
zG*hnhzD_Okh%rr=W#3hzNy5RHY<=6vjpj2jS5po~<p1>Zs`S2^7{EC?1Nzcew{6ed
z9#v^m(xY=MSL4f}WLDiXCEYEVEz6hj6jo_u!y5FmY?j#;<lN}7r*?ZRBXw+%`G!_c
zlE7VM_xky(&bBsOirAye0f7buUG^ON-J$Kp<|;++O@AFlocfZ}o_Eb123A6_1_Sn@
zB+O|=Yi1-XtfCM#kW^1%djT8v@GQQzj0|QLYGO);HQeJBM?%l*`P{yp-`vK0!YDqB
zu0nfMK7+C{+%@{oY;wl{oO4(EaK50+xl_7FaK0NCzz3Kz7lYxzESPvoG-~ylleDlh
zrO~5K1+?|2o|zR*vP1PyFz1cl5MZYEoKs4?sQ|lWd(0ZxrQ2hG)S-->*C+;9v%tpV
z3cJc)yUvEr5D?z4six-F4Okt)70GAxmB|_8#ag)URG08}Z~9~Ai#G5EfCh>{9_z7X
zku+mD#_^qJ{eP4MZtkO9K~pPe9{KOK`=2iuey$zUnYFLv<mUd1$i0eyR$PHcs?4I*
zfZPV|SQ9q9@;)Y1KWG_(i+AOdmRh)o{Rh%tb;Of??$NXJ<TnsGplo*;1RhV+U@i(v
z#wjDB0BX}7yJA8D_v}%t*;UXDn3F>lJE)MLY(NVb6bk&$V6eCyZ)s`icOzQB`xOv}
z^4vmpFF*Z6FSMWYRMy>wUw>G8l^2D2+7b<ow*!W@(_3#PoZIlBJ_eCRyl(Kjt=Txc
zkS9BKZ2K_y>LSYnebbgT@pUIpIJkUz@cjn;yP*FwS&;$%ImoUn8z`%!fXN*YK}4wN
zzK<d>kwaj=E3p+8$YG5PdM&n4^v`I9Eh68>+gl&e$Rk<vgNpRMtpBRE2`2VPT`zIu
zBbY@Rm7p<`=ev2i2k;5Z8$T}(;S3J6D`3F#$)UI(HjvgdLaw$d923q%OJ$pGrB6Bd
zEV&3=d2eofUU*M&TdFzQD58rV_8ojQsFan?+z)&>>XJa5LIYQ|o2TB9$43c7H%KL`
zfqgNrc(qQ+Y&MFTO)i6jf$-t-<P~Ne<C3-NYT?DW<Bw7{HFp-6{u|Bbsw3p66B5(8
z=ht6NO!Z>)X^3LY_G56TsoG!F;|P2GcO|umIr&WhBP*}aiq8Wj$A>7Qy6)kjeKar;
z@X#g7|Fue79S~^qW)j-znA%kyVp55r6!H26q1r$(#ic)}Lb(OI`!#4EC4@mm0RX19
zUJ1e+t6>7I>+Aw}%Dt!A)h(ObZB)-1%YXlMe<70N4*Lh0SD?-dh`MDwi1n@~1n*JT
z%}h18hX37y+-M*i+}#Ck_BjQTDLKBtVyKXirrn3vWyV3q`@X|6Z8eS+CrXrvG_SHo
z??bHt*0oiw2eo+3nMdWtx8Ho4l&xGDXjrg_Wtpct`n?4-6w~$FL~0_n8SDl9uO1NM
z$GF9+kmRRt!`5%Rl8~>m_ku}L63{qExgW|%l#+p8WRRSyvDOsJu#f@0X``;5Z0Gx`
z<N@r?_G|p0M*cxI{O1FtG+d+irsnL9DO9CDf4#D+%kV#Y{x0bhaCM()FB5Qq0@m*8
zMzJYhd{_*>YDIN50E2=u%glGL*DiCrH03pj`!+a-xoH!SK$cW2I*nGk=R*0S&24x2
zSF}r`gWWJYc?Wk3sYaoCo+<sokAhW%XYNaUSYegFM2cZc&XzW~5Ebpz(<{6@n<(~-
z$}*I;kEC7k<4w<9!&ztIBMzhRLR21K4xHY+{{*ihnVEN9yNt>QfI^KeiEnFWKM4%z
z%>(p_$-^b%Psw3|{CvzQ+2%CI#3QeE$|GAvxje^m7GH>LEG9|jNq_TvpkS!wCjQ||
zpY$sX;Rn>|+_PWMzNlDOjDA$J`udnRtm6cuY;bP4{Y|&n7v%13kGt{s8SS$eWt~o2
z3cqn_vn~KT&q=K2yI$LY^d5-)cW}aPXlU5H_U87zTr?L1EpjxPZUx6l@r#dYTi$;G
ztrqGH+W}W3h+ul>;N)vqzwjqL_c~qlP32b%rv*1ZFzT7pW%I|%F^2tvnxLQpv$4PT
zq(Q>Yfj@J0krThUsflrl9x50)0>&x8A3TN{&~k5SQgiUaz0QAXNaNoGDqHmM<Z5Hh
zZzarWiN4exNTbX8n!appM*m%K6|o^^%cd)l^E{<?I$u&ka<aBcsf!v#{`r(zANpf@
z$LD+&DFQ0{r+Zt6hYka2yc{^?EZ6inB6;&I8F9k9$}0}c0`2_jQs~6W;d*t-)Gzh$
zX~IJ7f-oAey`m~hY%_{&4YV)b%tpPm4=&Su7sp1}oi|EBU|h44V>R?balxJ+<t2c6
zt{vx6WOL=@7c+dA+9QY`GI!=4KLZPtxXRZ%<8T{*DxKRWn0RmdTM`b%t8I&|B7k1A
z1s<ldoyG3IB21rJW{Zn!gfy3(pG8c2TJgpi`yMx*v46Ty7zGOyi)gNGC5puQ(O)~F
z#4A77u^7-BF7j_eP-Wa+%wS6~f8sMO9Xs{diUx82;$nvW+Yx3m!;+8YF(WWSS9;n{
z=s^yx;aPKTUSC@s&>PzpGy06?m4EsfQ-$jvX8BqV+c(-`_dYp|X)w=4nyEVCRS`X?
zlo=z~o=$!!B4%|Fd8p=70GO1c!n^&Wa(zDjx)BG+U5uBGjz@|))s+`JAM|(Te#cSN
zE&1^BM?75;APKv5RPH^1k{64&hN`(@cYs8HG(ZQc6Q&G!1{_sicp6`VT@Oe)?W>TZ
z2I|BU|I;V_9~N>I?F#r5V4n(N#eB|`65qA|9!Slpv_7Hy2RbhPYy&ls-sdf_&7Cid
zziC=K27Q~kV*WRPVhviOfPe^@I>!GVjH60u5Q7Kqnd5aLtEd|FcTlAXxRoy^yEe6c
z(Z#q_Hac+4{4N2J!1@LJAOOhX%TyUZ3r}qH*rBqoY_uV(l@AsgCN4vb3hpO(LN@tO
z6AcwjxKSatsj4n2p2sX;$)kRlzq(9`bx#pBV(DIo<3o0zoVgUuHwM`%BqERX92=@p
zV1gg|Nsb#L5jkH2_nvMRnba(t3Fz+H>EVlRC+0Ej;7Eb!a0b{h1zHLFQ`%=Q_?xE(
z1gWONG0VEGQgwItnpP<v(dqnBAfKE9`x&T}U%paaRn-!mtKzPjoe??yY@IlmNS|&m
zuvh>_29C|Q(q1<WZ|I#EyqPrK|B1Ld@7rJN@H+WkC09!!qmi`J>T=#(;0csRNwI3@
zAFzN>f`q=uj@6^1tpjK<-%bOXr=KSVB1*>ZGlTVO@~o%uC_2wjybKZbZ0BG->xrn3
zo0U~4dxx9I1>M~ktDNT3u<KNQwdIg-t3$(!BZ1#Ndq@|mR!ZS0iIl{;Pkh3N>K7+!
zG8MafHi_(R3k@~>(JMBRdVvjPw^;Rq^bgUv>S-S2xF3r=jVU2*DHS3eNRtvUPli*_
zRqU+GXL4~0m8-|c$QFo<Gtr%=2kp-|D;7OU^XU{55E$Gk-?ww-Fzilndcn~&ZoQuu
zad&qJ?wMk`6f7WC{+5hD97xTg+PHV40J$A|s3`XjG??JRJVDZIsya*!SqAU|mtr0N
zUj+uNxNqi6E}@_!l<)OaW%eJ;>Bs#8dO(l2ypIIOpefd0s78O32`HJ+*68%+EEDqW
zLL6P$oSkmyEcWEz$&>LF8>Mlsfq4*Uo}Sj~UK>9XL7I|$Mh<2E>ry6xF%B|GTA^j&
z$c#9@e!i*m-hfM+eUEQRnac`wjz!mKUqud&tKZ-H6<a8>m2b9G$UU2tVnJsT$E%O|
zne{|M{K$mlm}U>}X06~)%7rn3*1o2L8xMDXCLR%z&7|*&I&?~al2CQ0Flk_|PeSs1
zn^V_YCoPE~WjCorTT@rvrugQF-%k1^)wPah`4T9SP^-Vcwtq1eW~~jX3=1vcW`!9G
zt%p2`+#<do8+oW=!TwLQIVH2R<a=7lIiN}F_GIl%A@ZZLV!$e!Lc-aGzUI>7jYMmL
z4|aC75u|dg_n0{<r?ucn!*RiN^5(ct8eH+hBbMV$>DG`;*!9nE?a5dU?(K{6Uxo+1
z<ob`S)K-iT<OHB2AAC*nX0ugacXfAlInF(CjPTQl2~`krxJj7Mn-$oA!^s8$KhchJ
zIU|Thsv-+wV#wi&W0a5MXE49fG>Shne%N>KQvEY3BV_~$USB86Q(2DY6a|$L7*7fT
zC;jLb`5|Uj+3=W6;JE)`dHn;}chAq=ijWHx4xrk*5(B2Dl`*;vNUv49O~(U3v2%gY
z>p(k!3J?Ar9sfO2aq^iO)BKsvV+{r%Y8^l+?f`dLN55h4omHT~`2#69gWmTIsH6J_
zbr!&`px(sn*Z=h+f~dI{Xi4Ze`_R(W^|v<GA0K7{(&<P3UgFn@;@4117j(9Q*q1AB
z|J{W>c!C-5dS|Q?c!se8zzx}VvZd?%@zTE2<nB}nq*B8^g^8W#8Ok0D_<#(2S8MCF
z+}m?GFu_S3%M#KoRuCC)t$HRPFn4^}85kSG(9~{(ZWo$z$hHJw6zg+bTrWR}c|7DG
zIanNNdwvwOI9K<Wy5gn#Lc4@~rM-cE<5tx@?<WClSdN<#=vtb|??Yd8P&w!i5;wj4
z{MfZ@vn_n(-Bg%f6bkJ33DTp=aA`4OwTG6q<rot~ZGY2af>lC)lX-JjWW3KT9JQow
zA#`fwPhlQKfqj~0?N-&$ABjdAc{j~Wm^w;Gd`eMtwkdSj&@4J*P>_<J<@-OH&N?j0
zF52QlH_}ql-CcsxCEeYf(%m5-U6KRRHFQWyNq4sh2m&GvqN4ZAcki9Qd>(t=^PY3|
z-fR7q@JHDxBgfX20O<M2XwWOL^9B3s317MEFXfw{DXw}!-+p=RKdE{PdCmFwrJ@Ko
zBj>qes?JfuC)#s6HLG%ueqv=IpV2lduhal(hUB<{(py4M!*wUzfqhNuH~_F$UESR7
zGWGZ6lGs1=QDfqFWKmOm3D{X|4czE-R<G%$>5t6+CXE#S_OQ5@Qo5F1%o;OxP3xO~
zYLJ}^g7AaZ@TM0LO60Y8<`hYP?)0<#P9a#n8B-0t6NWXaXML(qGAp9L3RbJEh(JA^
za|B@m<|mxzQ%c_oRJcZDdwy*R*sx|nJ0fXByuab$JHqfUMH4sOZ{XqVfb0Qab0B;9
z--BAE7no02Pl2kLX>;QoECSP`|9&C}oSN`k{)>RC10enbKM&c30}0(tu){6}&|Y4p
zrKk`DR8&*|&Z*a7;>s^zra1@k5=F}w|6St2MJx2%`!_(@?|ZVuN*DOOX|%45SsnVP
zGVE97`LFJ<rp?oaCD8M8gscJoZ@o~6`d4^G03V2ebLKypGaxART_a@oapN`3J6KSE
zU7J2V&Ul(JPZp#=!OYY>fY48h1gWS9LAN=i?2sC?N>Wa}ft|lzjU;CA%vSLHUIxtw
zvc{GnEtY}^RB@8Q+KO~L5A=`e1Y6DTCAeU10ofMF(n>QApbM8!f<827`NLa)TM-f|
zU)XGb+N>vlScls<8h@&RB(2?!7cI1+9lGdfxT>+8kOrBA6k7yL?MW`rS+EhlLPf8e
zD|D%O=gn>2C+=w7a+*O)XN}FfQCR&^2C~(Pby>}zgor-Uy=($W_rb=uHEh>T`zD`J
zMdhCLDqg#P#gMtkSG!@Z^HAC0i$jBx(^yWsax5YwSx|juW=2h2{oJ++o(TGDfIymq
zi;K%R$m0?Jb97%4vXPwlpwWzJr}q&!3hEEI>DUq?<A8|2x`YKUjklr=_rn*9thUq}
zGG<wag<>TnEdRV@CQl~>A?-uhy!V$`k;LWJNvveaSUgpH$rBB1bc-aOYP6ZUuDm#T
zg!;V*q^NNbOe@*`e%u3W+S*MnB>D*PDgNQ$t?gk$199E#Mz-Ev+P!=4ULf;V2lEK{
zeJl`;rvT&CbKocf#xamY1CQN?<6MIQ9H8;^58NBp5V#C-x+0#yaex8Pf8PKvfcnn>
zwMzD|UofCy`~ld2-@q~+5D@UN_vtP4sP_iQpC^rXuHfK+b-h9pBO^Gi;7&j6Rv*rZ
zdAL48*j=jD{&>ay@d^L~x;ZQ!wl|$2|3DRi*bk5KmQbU|pxybk(h>R-uw&s(k;0Vv
zn-BpoGuiyPbo`^VUhWwSI}T!F<l8mNydX|@=J8-H#3Y0bL)$K+ie|ZI5Jco@pJDmL
z%Xa9GU-=wI#W{?GmrbZK;fiBQG(2jN_9gD!rhcUn(@NeGq+UpG5QhSj+l0W;JPT{1
zdSGSrT^KC<Ny#<Q6oq?t>$^8>@|qTTwWP==zoJDJjox0Mu{V(bA7l1<YfZOZa)^Tz
zqE%HVi0em2x6d&k5_RKpf8#F>&CLbq4q&f&Zo9*j^1`7=Ok(H11;#onn8Ep5o%d-!
zM*VEcR-INgrE7sdT|n?El|KY8vIWyws&c48fel%LOjMxuj0PQKgqOWB2f&EVb5r=K
z3GK+6wgV=I>ul5}^LgV8W6gu9MvI#31HB5P)9LAHrK3*q*+l_4SvX;(Z6$fs`m;mM
zQZdd(W>`01y<Cx!jXH{&ZEtv3e%&f)TX8c(fXpZwGxh(>G-L{gi11GlV~caxy>6Vg
zU*(*(`ly^he=w|cG+c`$TGY7lA|xJN@<ZG=PlJ(|v9Y{;FeW*_W;SH&rGd}!yS2U+
zjljvO;CZ*HdkvPo-sU$uI^_BxOpO4rBX@9l06f@c(HypUwsZ9p?uUXCSZ76Yo>umv
zUZhCekwX5gr97_fa6i`Q_hLdz5G{`b6w!IBE1*XY4`0>`_rZozvwZUR@wZ>aLlljq
zY_^x#K98IS<z{4wmCHQ&Qp*RLwj0V60b&giY+`NHHYubG1vD&VJvKB^dA?Q~_mfM-
zijvtk_M1b#A3vM3*2mVpth@14LFjMdVtVDXO+L3`XN}^u<88dGC&!v4uOu=UI8Scj
z7j8O+?^!j8YMqF%&qC@UEgj3{Cwe4X*195JnMt}7)w8;}Bc?@3jr#@!rEla411S*N
z7?x$h_T+bmG~xpN2P!0MT4X#3?JlR4KOf|Z^$0PN=0ZFr#$-6TUYs@dC^vJWu&|K1
z67|XdYXQLAhCF370E$H$N#g)U8UpZ3)8hpQn03rkt6t7~$NyO{8j-VQ^YO#G<b!`P
zmX(X(7bMAB+uF*(f-`7E#J-AwoKKoIVH6XTDcrX-d`z~-2P=98KT3BT_0yxG(EEnE
z<@!aPLD<O`o~CAu0z#)u+9Fe*WR{-ndn#+6gqVURR?_G?{u)Zb{@*pLkt|kjhhlNX
za?5Y5<fsmV=cSScUk$Kpl-<%ZlaSnL30A;oza6cskWd~{NdKQde|ETg8yg$1M;4x-
ztoo!-zkET7OOZ5ECS7;hHEjnZBHR8ASz0Sjf|Pvr-$?{(R!@zb)w@@WEae!TD2qB_
ztEZh49fJ(wh$vj9pQ+XQH6aKs97{6K9OhnMXS)xzA$P!wZRoh%hP82Q^*AXJI|o1g
zi?xH(Vp0?HM?Gc7h0Wk35uNJ!TVV(Uhk{rp1(6|BWyR$gnbGWrsbwPy=PXw73m8um
zVOufG>0$kbmkM*{0d%jKqQJ|mP)ewtNY&wbeSnC-qOj96G7d!MqxNYu=y<92TR%H;
zuy$iC5Q1t5F5>_MN{8qZVbmhW(-CbNbnGjW3lmCb=+?)ue`SA;&E&QIYXONmpB)}D
zxxEM+ej?#}R*x^IsY%o_ZlOz=7)!D5AgbUsZ(75sFP03o8xo+f+^F@);t%T_!whR@
zZ637BJ9Wdv!u6cNv6LT_!GX{^I}qtscuuzKKw2s{&V=aP4!GBiD1-yr5%>p5u*Z0L
z5x}6(qJ3Ru;#o2mBC=HKTkF!s9T|<`IU?5+>gK0u-<f>1++WzMC=Nt0SeDNF*JFCT
z19jfpMKh$I^A5-mu#nE*L0y<}hc2Fz>K&t@;2XnM_<ik74Ga|1H)n6CyomVwtkS!u
ztn;pAsj8_PmYqB(pLag5C3&|lhgD(a1ikdk#v+1VKKnsOV<;UH-eKg$L{q|`gwAp~
zl0&Cn?t|?y8IHwHPsy6yJ<;&nXVoW(H)HR*q68)+XnOC%NX+ZuY%;Mp^`<!22YGxc
zDV~gOVT6duebZ5mju7KL0-}XZD_;loFv#foa`3co-T{a`_Ak;w-&l;LP9VHr;Hb$W
zwj0OK*Vi|N+8rcml0bv$#8vs)_F{Dcq{#wDPiA?Z;vo-!W<Vh^^JFtc(AZ=iIIh?_
zh_b;Kfu%$wH<DAq;wyK~ai-gu?eeV6#h>_X9ktIhifIu|=wa$jtu#h!<etpk0%82x
z$jl32F=u1rc#r)$)9S=TrSv|gip~ziR~x6Vr)DZ~o(GNI+_awmPTo%(-KYI&{HML^
zSaA8U&X6&jh@E0)Afn)%Q$YlgGS>3!HOi<5=Ew4MJZ~oiv^C1cSm#AH{p;Yl`mTbA
zs6*+ExR3UNz3{86oK-`Z4D)HzbBd^YE6*#nquB+lco5W-Oo=bOMXCfIin^Q;ksOiS
z<ht$9O@Z0>wcNNA22r%-OU_PtNv>;-mNY8vfdSc3x8>f>(C4d&=nDd>F5<;~2-Zm+
zd?|CDBWZKRO|rON(Rf-D3`%uv!<;+|CZfADvRF;e)#O~}yLJT=a1A{NjI*CY`i<BX
zg>-A>v?Jd_JLbnW`uq8?B-zHmR%=|k!Vs=73?c?Ve+H>w>%s2Jufs?n2s;bmeGjTf
zRaN{#@y{=7dm~MpBXaEMvK(?&ub>`};{RD1Q%3i5{pFpfMV~~%=Pbu@;DUA2<74gG
z*&E$3k~8nn+SW!q>Jj7b^kFt>C6J(ZHDDk$+zO%*jp(B7D)9CzvN+wI;#J@x$-67D
zMClWrvJki6l_~T2(k8ol^XbOI^bE&@uZikn0=P5Vynr#5n+`2||7hND<St>h{MesN
zSO@8k4PvmCdgZQjBMBtkSYd$z{;fRyTV!aSv)<)O;>v;-CQH~N67G5%-m%P`Uz_l?
zCYs4#f!#PnctUAz!OtPx{UudO<%qU2t1KlpD)h)S4%%o^DJ7t+P@N<}*y{Zzyhh{N
zRnDtiHaWVl#*^Ksr1UX(br_G}%0O*@tMQw?cuO(@L#>OQwq5EbL~vi_^#HRw_>+{Y
zb;>iGyeOm7x|mLU9HNi$AmNR2g$Y%jGjB!sO(>d+5mG<kZT>|?K&enJs1txlF7#&{
zK}oH_WC2`GT87reXXD2_3IcmWCp|CK-QC>O&<99cR@9tuz_lctO@KTJv==32P(YBQ
zXKydq-$OOx90bVaG+P%PdY7HHubzC+a<aCj#~yNqNg{~P=I7>ib{>z<WPz#W;b8^u
zNL|P)8;@D{(b(0_lQmbxUsS8u7`q#&zOohQq*_VkF+Oo)0iH?3)XjJ_9U|w$`7y#*
zxC%+~i68hYc}%O3rSOoYYL~m3x+#u&^lFJi^aKMTUaSqa9Et|L)k25OSj2JkD;yAZ
zJ01O6(--QZq=!_|wGkUu?UFWW^&>MkJiHWhX%0es%&wFkWScuXz&fbjW)56Q5*^SQ
zWs~DKt1Vc&aE?{)KLQib(_c@iyos`bCGGorD)^apXjO|_&wNs2=xl0=h&x(X{G_9t
z=v^|xhAsD*)?LWZ!Rn3p=8CHoM6qsHwGv#<M2?PP?FrlqTCmA5X@ju~#>{Pg3oi%~
zjisg0KnMzqoncLKX-JjfYzQc_ORu^h#Zv4Xcysy@OSoPJe1uH}C~T65jSku&f95V>
zFxblLiSQMZB$b>Gn%{28nsUA0)8?~{`BBALXt|${o7@}POui(R1#t*K##=h?ptTmJ
zrES6OdH|9Es&9}$faTSdrzTNj08HiF;%*6;34qY8e(%IE+qB1Dv*E>Xc+D11qiFn8
zbM1PyNb*xR-APxVlyi2*5~g;&oXT>nw@wfyG^2jcPXY@t$?%88IVQY-C@zU&KrAFv
zamK69skqesMnHCXC-bI(`%%@dN@6xB&p2fzFV3lt@*+wTp`OZ_KzF-n#W~s~krPXC
zurT=8u$x4xU&P(grkn>==?M3r{Tpv|QqIeQj%qRHUy~2t1_MJeA>h)xu%OjRZVnF4
z*%k1JK3^vL1*eQ?{)zw(ac5(rtLaTHo|T<l#p1EJb>N-Nr`<o_TzIooCwfGa7hmUD
z@{aYEox4ln>NXfHX;+9&evk>RTwVwD>w1g5{n_Bx0hFgmQ6ts}1_kLYX$gGUY&sTm
z(>+V^z?U&XN)ttU`*bQaf3c!P8QL~TTFS4CawXbJq=ACx&*9w$QAY}odp0qC-2+Dd
zUGKKMhWI6ipUrUOE89yD3KUd$+^RYHRjeHt|D+08g7k}ieg%v8uXEo3Y&w^FavT0-
zTsn)>lme)0RrhUucY1YgD?eII+E&cEyp<YWERn4DWL%tL?WcKUcTgP<JcAyA<V(}1
zpLcc+jZ-ME2E!@n$jhpiA6dV_nm=jc8e27~9wCH7+C9ks=oKo^N@4O0%MU*iQ6#GC
z^1@`6DiF{LB_R+leiRRsEg#d*_xH`eRApraH0m4VwSC2{v$?N_Ainh<bc*wv^9~WL
z6TP_FSUK)l_#$n0Q3mPwaK;eE5J{SD4Ke?!^z|Jma8(9hgdu$$8RkBCm@ifMSn0P3
zADn(+)&BNMQWj`u|7*~!eAo~}MbFvm!81A)p9S6aqQ3xjL}s11G+bYfj!A2>>MH4+
zgQLY9fo(9*4|+w41@zO_g=+Sol5G3nWNMtHYbRo4(P@$GI-lJd9QR0C>d3#UT;Y{r
zPlo~-5IvIS|K!#81eY%<4aY0P(D}68R97(NH&Vl?K}VX9sxCer;*}1SYeCiODf9^R
zHtM>}o~4X}1Y;eUeaCb?luq0P=gD(qaZjeBF!z`D@aOZ`2=tuqlN1gMZHy{bQ*z1m
zanj6p0==JsriOuYDGRuHgSU))L5^8o7EuLzby#HZ1$S5L!&(JiH{wsT1_g?gscxly
z9EgE)e3eCnR=^O~lda9{PXqXE6;;kTV*|Ijju(`8s|C3T0w)zu^o*THcZWSg-&Rys
zJ&(+jta<IjSUW#;rk>Rm#!nl)B1X?EH*WbMF&+I`we?62nvtXp=WH7mM9UeACBPCL
z+mmLuz~hkAc^=)W-Z`U-#jQ5>1seo{%g<*#9kp{JGg;rgcwG*^k_R=dLjJ;sYS84;
z8ziDw%a5O53co1y(;`@<dkt$-I@|Ak^JG||bp-&rItu8Ez9W72?e?HN%5*OG-KYer
zemW;<=gc=-=%RN9wCHE^EAc?jq4f4c36#uSb;d9D#ZhZ{yS8G*bb+nVzEX<2kcvH*
z`GihhQ#8`Oiw3V?5gRXc$CldL4NE>`2z4ZOGx|_y<F=B0UJc_YlsK<4olNN1N0=0w
zse7Hw8Z4mA%}xEqS1Y`AyKdwVI*+#r@1?-1UGo|+0+D=W0-Cv~@O^>X!h;gDwRu8h
zZbDVFPLmadlSG5=zT2Dy_S{8h_=NC&J7T-EQ_$cSc2UzGHh?lK5g-rD3@|7`iU+(P
zb4Dqn)+%UJj&_)>UG?qsD~)CKjf@9S?(deBZ_%wei7a(*^X#0}qRaSfEgdS*Jbz%n
zG`#-Vs>o%3+mx2P4;&Ncm-&U?-(y|DVz=cPAgK=6gu}>4R(f7@7HyoFf(dxU??%XZ
zP)xW{iaBi$>~<aTV!o;~B(;wn78=kX%taE8>Wz35R5*50_ko9W=hlGm2hP;%rIbHL
ztKK|=KA9zfxe)ZK`wp^~4_bYbN=>>_65aCc?sXnABaH=LlhG+w6te-BJcob^$V*v1
zDVqS!j3L_mCai@nuIu2#SFF!QrG`sb5=;F`{B#nJN*cN-mWewqY!2`=C(<K6V@+GI
z<v(#Lm)30^3)gi~l}c*~{*FuT)?&pDvCycLBRUL$qL*^4rV}GVPMT?>(T83yV0zG@
zM}nB_a-H-kT+~N|TL=auVz)SG`2G=G=p^=!gjiJtC~@QKB{DH+ft>sPuRnYRmQ&L?
z<_#W};#7Y4S}T~{P%ln&t!#Ygnrln~NiT9WvqkfKZL$rs{;pxEk@&u3oDA3~=f90W
z%$%noOyhSRl-gU@IrvO%7U9haN#yO+-{yz|Vv`b*-vxxs#|KT++Mg~4>WZk<i0~El
zBioh5+a|wU(njQ*f&!t@+<TeXn!?o6uIkscx}t=M@1?6H>#k%X$RO!*O#OVw(zs)U
zb;`BnRK|GO&)F*$k6alkAu9gcq^95eApw*EDL>!KzD37@+Cw}j-ysBpjpEESSNflo
zeWKFhlBe@CB#5j4RmyM2lvKryH8Mfh?ph(?p*Cx8E$7~_e}9#*UsB?N6usFP`@~Y$
zMG=`<-JQG*c|>Q|UbA=76Mdsuq<K<Y-F;7gLT9m>`g)s5f0(~|r>cF9Epx!f5lipx
zFmKRmGk|0sA32x&z~W1Xk&MK}Q$^wf@h&&c>3QewTtS{RVxve*+~}hBREURIMr^1x
zwNuZC$V&7hhf@JE0s=QOmLZXxY^&p{7PnG>O^y^~G?2nh?r>)5WNDH4w%jrBc%huX
zcNBeGggkZbb$#aw^T_@s0PeXJ94n^V2#~XuLoAxxKW0>F{P!qHGWd8YzjK=FI?CpC
zF1*CYCYzHKMcGLEX5f9gK2g$Xlol5!DH;CGay*gS%|*b@&dxW|X{J-UHC&!}gfwC$
z#w5eG{WU56yT~TPwI5E_xkK+2OXul#S~G4dY|U;@lJ|+gmo;zX43pp^$Rt@VX$$LH
z%mt~qdh^dAAaXo)x1-CkYn&vhL{Wh3SdM>BhX;bgGEYuqJoDF}^?BekpKOaqzUOsm
zBGo|erD-9bfM#+L$-r1zYw-L#4*t9)i4gTNKmX^iv+&)~Ob4#WbJMcR{@FH~CZL+c
zJ6z{8WuyK9e}m7sHQlRpadfvG6qgPHtt;TAQ^!_+nlu$i4l$U?wZn11_2=e@6+e6?
zG?cZrl8<EHy|+|#;=rt*Ilk1%*Yk~p3St^Wx<@I1C^@4Ac?~OS$qYYC_@sM;X~5$^
zBul1la&zcdt?V--ke0P;;M~G-9a3Z;>GQ0XRN8Jn+QooSaP`-iBcXnfXZLvit<f_G
zku9GO_dQodW+TZ3`BIe=Oip$rhxSttUGn~b#f6UCVca($tg{bHVf{GQhFJfO$tt!G
zOPxAuQ%Fb%BuOJkvif|T0K?%R(LNr-s?X=tfc@a%;o;_1@3LbCp6;x@CJ}h|N?1VL
zxwtj<6m%g9&HY72oR%#@F+D#jGK8yz%pzs_gOh)ih|CH(b~F(rT=H3O?u4)1*=v!l
zYEx?DfmD{I<XS7mUtAsX6my-D&S?rg<D^UFO+v}lc<HvgpX$EERh`M*79&9FPeFT<
zj^GnIex3m7>Db*biBS(zzsmj{DkWA?`@#Ia1S*n!vJI%-X2{CA_Y<L|Y-H17!b_v?
z0-3hiqU43P_XdOcE7H?9_P5O_X5lt*5###b6zMiG3)d2c#fa+#XjPyHpi-`GwYP=*
zvl7ltQRot4FFFb^z=rv82BJaau_217HD8a=>}z|SO6N&|_KWnaR_O*8Qj@)^i^P{I
zJ%Sg3`2Iix=huwha<w|&5ds9?r&y&fo#QZs3iZpu8K<C}H!Li_QT$UTuipG^)SZ9a
zBM~81yIVfzCPrh4L2~^fk81hbGph_QGh0DkZ?r(3-EG<AT>KaJ@>30r(>1V9%T4m-
zZF<T|toZXk6T-EW6&;?4%l^4TLQZ!iI{Iy2yL_UJauGF9%!0Y^q&w+`J;>Q%NH4nj
zJSq;P2+Ml^x;Y+gr&_7{{lWAC5utlsk2zm$v6UqOWVMNRy!>Cy2uSbIZ!iN@O{M-8
zx}={P@Q!jHOsOjA7@eZCPn<6OZ2N6gcx2j<ar98vOQS^G&uN;^u0Jf$#5A(Klk4E*
z#2oG}K<?Z&q#u}~UOUw^vPKEBgrK*cP%g3L6JgH1;4knPy(Z75Tg^Jq34Rg|p-G_Q
z-^q4BdXHi-eVsj3t5TkyQcthUdT+4vb)!S0L7}Cx-sJ_CiaYu5mJdqETwgbNBwmw@
zrCZXaFG?$>Y%*=|s@x8Xrxpt7pH{rHMEQWMjZ75KE}~QL;w|^&hoQyS9EF(r*879s
ztNFs<=O;9aFFdR%Lkp8O$I3x7gNe?nm9W=~z09Z1nmK+inh0b`g4_2CacAStGZD;g
zZ}p5QRwyb&C#0d6xO`6ym#d#AYgg;|&H&YEc^#^%=2*mcdPJkxgrJqDMnsgUq;xmE
zuo{@Y?)Ea25epsH4?>$xZ?0c<ke$I%;K*;^nH}?#WJu71@oST{DJ_rB9?{;`w0AwZ
z96LryBWd77{y}}I9RrI#8O!NIH~TDEH3IEqbLFo&u+ctT)VUFN7)T%4gs94bd_&YI
zg$^p*_n)tYlXx;>eyt^z&`m86)k}A8*DpJL{-oXjKTu~StfxM`eR^GMexH-;%U|S7
zmnd+4N3GryWlC5_95@i~9z3b>{5?)tam5(3!bbClJi>2H?G|YW2>1{SJ3}W%<g-AU
zZgQr{-;mUb<C7CMe4M6g+FE|Pmg#s$Gpw&FBQ;u$0WG)?R8bnm<Vbb9qH3DMQq}}%
z=jr*Cn7rX@6cKa*M(x<wj{9l1_GJAXn`fY4b!9vysc?MDiyY3{rmK1SK4((aln&t`
zxoTVUI5`PB#*6XZUksfF;R{A9K@y`jsiV|uKGj84Iqe9Y;a?jmiLXuXN0_7ktCdRm
z!nvhd*2Qbo3!X_-uvtUal+e-o)r7R);e0g>qNJ6VwSo1naQz)Obl1xXX8TfIb(u%n
zEoeyn5K<GA5$Q{4bjqM4FI3mW)KL;K9kD1QfRS9Q)SE7-mCaHsR!6?*&u-wAsjqZu
z10xplkdKe6t@&}9K)muZAnC;F`+?GkQbmptPx3A04+F<ILZ>N1k_0KViV#yJn)bVm
z6Ep%udMuLfuns-~vsdRI%g3)*X8NK`IXaGpTD%^%Ha3jh7R-DW$J}SVA(ex(zuLPC
z%#S(z;P5B$uTTE#lfOg<qPhU+YK+)!GCn#4GT^7P$vX4tsnBB-dv1J^L;RMl9wAm6
zc3WZ%)+=AR-CGKrxq?J}GT{>Pyb9al@KI$%2r`%tX^0g!d>vp^^87N0vf*!|M6$b%
zvt#IWII_-`F4f#Ghth&%XBdeXj=$9Jjv`Lwq_3>R-|=MdO)xWC0%Ce7%@jkRaKDTT
zjYSN5gpMT}SAwa}c@dSh3rH9S_izqlDhk$A`f$4U^MN@X4!xKYsf03e__fz1GjHGD
zX*D9);6RNns)<oWEzIx`uC`t;#O!7D-J#~a{*hc>UhXMuc#I<N49K{pEa0!h2U(VF
zMnUJh25b`W2Rr~gqz(dm?=MsZ1<B|UkfE2S0h7F3D0=$!s|g)rq}GY}_;@99YrS4c
zi4Cc#Uwe$IyS5frSLvA288F_`DmKUX%vB$8>OaI&u<GHp)ZbN<2Gkh5ms4G)7uFG{
zZqc|jd9JKHuC$b3H{@#PrjnSTH^|TX2CLR7_thckET%Oj&i9RL5=faiTSBaL4^cYD
zBvVsIV>1ky+09M&EjnjpOl39yeWFh|P=+1^n1PP)BD382^P;GiT(JS9vFc%k@WmQZ
zgg<Y=(?6~7F7lhvP3SYU?%7vY-i*#vsv$3Xp{7q-Dv^)c1eRqO`V0MZW74x?lVu3p
zEJgjI#$$mtFd9#SF`h;#eUvK5MV!k1Q7|PQmD{c`SlKRxvCw46+4mcfX3Lt}<*)}b
zL{@{WQ3&ZOCs`F7YBW~*om7ik(GZ$`#Bc<Un6uS>V{u|dh{hK&)UoS7*$BauquXx6
zN(ALZN5KR>Kl^4yL6e@YI^B^SLZ_wdxCBj#j>n2RAkAZVN`oimB<k^0j#Et=5mFdX
zjLb?`%1PbQh5F*~*?IxkazMA1{oUtR+&uf2KTnoxM{)q-UA7?8ATKxf*tZ+)3004W
zYOT(%WQp#;vht@4GY_Dxex4JwK0Z+`zhb6>%aMeu&gium+^z>Zf_XPH&3Z;;6U$w$
zS*Q4PZ?_kE3bW75**p2+&GLIx`DA*{Tru~`${IOCUXP(Ln6lS|y2?+rEmY^aAf%}-
zZsCiF!j41;UGtz6XSGZ?DFKNeY}|@#y)Lz0wYN1eJv%pGi`xWvg3fyL%M+<*BBpP5
z5YRt9a=(v3`cXwnT)o#s)HLMzCAa^u1ARAu3BS<@w)2MoKgLodV3<{&ZT7m5%JaFw
z0D?vHhWkTDEymVZNt1&wAM<~WHE~`g*(W(WhOa(q#yF3U-9G|x=j={^-w|U&?u*+l
zaO{FOQtsTmJgs4%6+P<H_-a(5)M#{(pzjLQV!quH$E`K-t_MHnOsDjzo18ymc0KXC
zs$CA|Pu%lzq^I`~AYDcrMN}9OOc=gu%B~ggihoA;QG$MPxktLC5?rPMZyc?qQtxV_
zx$xP=v8zz;MD|Q0p=RT3!_w0&8@`<J*2rGg^TfE7)m3h@9?}<=|86FPEzk0gKmAMM
z{(HX6|HL%(=Ra2$mqhu}NZHc$JQWf}R#DdG_C|*U4n}?A&Y6Ab<1BF=<bsyri6y={
z$LUyI@}L~x_|2i+Cu@lE1|vK`p>yAoB^mYj`1$-cP?Km|9EgeE00rYaZgVqpb82i<
zDLimY8Nm*Jhc>Ks2R~euzj_DV<OU+&JD`Tz1Uhlhm5~U%f!n>)8GucVn=TX%&%2x&
zr4IW8*KC>r^W^zv$E?pbkiLL)&oGc_{NW)Fbgkq3|NePs2sv}U-}0ITvbtWgu<cW`
zdmvT!@f-w7(O>Nyy+F}3bN>j>@dgr5d+0U$_mEa@qp#u`7?6IC0?@3)c_SlBiTlR1
zt-L1SOZmvMcoy9?k3F5A_|+^)$}5HRvP3PIKyo8gI3cioao%(oS9{C-0n$%6quqJE
z&}PghU7O=1GF_7Hq~O6AIatJTSj&>1#*eieqs0BoZpUnuU9n2(G>u6fr{lduIVeLe
zOvajmT0Kg(-DJ>ly$~RRNNx?EE)vm|jNTa5OWJ2n_ZL`i4-z2@y=iqi$z1!pQaoRM
zPSj-GnVJTE+uos5uLmVJH}_LHkN5wgfg{i%Q!|f23BX1&zac^DktaK=FlVoKV^6}n
zX?Wy&rYHajxBMu7{4eVOlrNS@k-Y!@(e%0pG<cM*ntz<gRDaRtyZ*3DVj{3P)3f)t
zPUVCEGDeV?)RO&sb0(B|+vsA!5kKYXMb!(1la^|z<&)EOQRd5K3zkUy6^2t91Jqbr
zw)r~kCRhl+mjZy4K%w%(AmphoaA##j@9A^Zwt+|{#8$cXU8e7WVv=?!kndYCUl(`y
z=PgX(u)u%>shnRKEdkB+1z`|Y>%#}@==N6e5>&?28&kX5g^_O#GDy4`Q9NwjB|J}c
zlQ<e?Y-I85bd9o^Q20<e>FAoHb>9Tn4C+q1IrX|TzjGC#tZ!&g7lWz2o&m9jOqTs#
z7lfQyedgdL5Ed3TUG3$4o8k2%zzm4E^X`5>7M5gvF26pS1vvr@z|nFM@(-?I$*Tyv
zd>VEMk8#a5P5pQA<lhCz%mg4oFfH-h2{;1sDkON;5YiKPB<O$6@9PKipMy`~f<Glz
zAfVwg@B0JC|G~9W)c(5&u-n<ktyxFd6G{;ts+5m#s@wwi;{s4q9h?7*G55!9xNuSU
zO{Y`e|E>?V?y?j5`wVp88922miM=*z_rLzX7NDbMW-eu9UWD4YcEu5da0?$ek=`un
zkO<4uQb!-pJwv7Q@MkKB;HJMfxIS3;@6&XsB<lHfO)d!nK~DCyZ~25<B$O;vFE4va
zYRai2p`TSCf+F>L)3xK-%g{f-Tn~~*p8xw;>bEU=Pp=TU|7NR{)5X{>A}!9O<Ee<u
zKmY4?FbT42={%s~p|5T8g`u%-6pTU0Q597ek8>QKZi%*_WBv=f+hG_<|6cR&<<Sns
zb<pL=)I063bGf>P%ck2SALS7ZNf}TvqMwFGH}z-p(9o|z2uQFP-WD1fG$LRy7|_x(
z;8|H?U=0ltj0}c#cRSBakb8w*<8hBXe|)N$Raj`KTkrPH(a$fKg!4A!a&J3MM{djO
zhv?^X*_6%0zY$F>r`y!IA^O=pj)s1C%sM!bWR^3sqq=3#t`tXn$%H-h`~Lj%H?!@8
z2K(il=eZc!WNRKo>XnNEs!|9^*j@((4JHLeMfU(YO?iy}h#W=v4rIX@uKfG-xvdy{
zc00$NP55t@PzY8TI-W@gx*4tjiGACjK#}XqH;w`9HCw7|@A(Qw(hCA?6;Fgqe%)4u
za=M7COzvNy@E_M34D^r@Xc%VO<|(G>E<76c?T@@Etfo{RoeXrog4+C8Gl}~ilj%QJ
zn%tQuXyztB4%!U?ai;-0Kr^+vva)qZ;Pq(B{^0=kUEPI9;H&^nrV^_}mN%X>@I|_q
zhm2Fbvz%Cr9*$yr#U8jt5G22KYDcoV7Bymd;!Q6po8pNTGuzxWFUGg}>rk}(y@H*L
zR`#%O<r6u9A59N3)|}-~<O#u7M5n1Mrq{M^%ZEvh%gD5{^+cO)9bkq&{5QXRhXOY6
zZwBY1>2ZkuvmPIi-PF=@ZS}7i1?8oN$dM)yu)0*fkd~cn22qj@0)d(@?}04;4iI&Z
zLVq0j`uV|y(tVdB6#DfhqGDpd;E7)?Xkl<?63FEcEmQ+RPC(%r78Dlt53Xng2uMH+
z`FjXg6s_<7Cq07;8-G9k1)LZV?GEQ|3aI|uee!p=rRedy`=1eaz={PyAfSOU3k*+2
zr*LZ=_Z{}RZ#%Wrg$u%KshR0~VXufLI7Q?y++K1YB=*lwk@f!W4isXKGu!VeZ5VW+
zJe??HYOu>OQam+wJ3;Pptf9Fn4t~#?)_RU6&2<4)uYdqi_a=&z(eCc<jyJ*xl2NEQ
zj@bb<nYw#*1Vzf!@8!F-yOw%_L0e5*d%@@lYE)@ysR=HFxsYLYmOjq*$FPr!$6FX3
zh(gdgT9yMbYYUp<^6y<ajuRxK*lCna+wC63Qu#|uvX0uigNM?AGg|G|AJT9UBumX|
z3R_%*z}Rcq>DjEMv-4@-Q9`4LvNQ?`4nrvm?}`T|27i^S7`lI7An571+1a5&{=(x^
zMlPIeRJ(tC!Eltcn8?AJ5!5|hPFgh!JT9l6``q;3+LkD8>+?A!`5a`uNM?A@ns+Qq
z`b6tv>)-uZ|3EN<w|-<B^>Av-TM>KOMj(wR4e;zq@?~E8SqrHSqPZ%OG!}F>H0`uP
ztv!w*;ug9JDs9J8RWor*eBEs>>U?qv3!s(!YvJGXu)lw*KkF*Hy1HKW3fm>x%p~G@
zmpGV<&|BhssP0_{oSf!nz-GQ~Eb@ZmSiHS;indJJM&|`~_uCZ$7?M;7%MWC(t;T9>
zMF||_huJ4-WzM8+-Y3rEw279tRk(B%Q)9e#U6d6~TI_3Dvwd4ppeL8_AlEw9zob}Z
znCtf`J>xq=x#sol?X8b&PtZM=qq%7l6XUNt+~AsTkHfQe=Ef!_E&}A-KirKqE|6@*
z3U|8w+<8a~HW0)D`oRDdOOyLAoI|4h@)pGG-hy0uW{H%4@Q_UV&_jF3F89AH?*ERC
zb>;^E^!`;1<d$$B%J|8RUCa9Ueb}9S*d5$Kkc@Wz`6E!b*SGxz43RrHWI`lFloXrf
z>C+5`bui^zTl3en_y4;dYQw7h4NFai6%ICr4`$T&<8Sy<e!Crd4Wt#nuNy-jIgY~v
zJRh7P#l<DP73_RdGqbyp&-ah}c^%5-dtGiVpQqmOMW?bPP^tY;k}2T)TO5G_c^J7>
zy871p`TP~@HCNye4`?Ir?a|Tg0FN(NRdy48!G)}^jCo^~oyxOHO(`hf1)_~4v#Ofw
zaW>*OIg}6)Ca}n2*GZ*5V2t3$PBAZJ=1l|zzfHz2=fb1~{|AKKd8%&IY_ffChE%WY
z2m}%_o#rkmt7Y|xZvONkDEuy?fLoPQDLrWXF472hino&0p*2Q(rUplF^Xe!&J3F*E
zY$6i=@x!7M%Ab}A4XFIRk|!a$j#0$cRg_ii^Wc)QtOO>-h8^vHT+>V2a3dj_DDf&K
z)hg23DskClcxu6zgG*_&Fk275l)CdpIn)LFo)JKaUB1*ad6gdR73x%)g4YZJ&CRQS
z3>YK1IfhH-$uF#?c1`s=RxS3T8U5~i2~?;4{vw5HLp&;|Xo@fqHv>ecIh?XwR;!6d
z=XxVCkCttwmsM2*aVugYC((k4T4;8!Bw1zU&?Ft6+F_Fu(DFGMl5+PCXy~~-d&iP8
zpS7D~q>=To=9Vi2$&$QU_Z52<;_b6j08QLM=%@2s&)YgPIXBe9?|&MsF-9R*^xiA+
z=ir?x$YJ{T3=(?$F7((2bSMAgiFbAV0^vq2=1Pk<@GY|A<KvlINB-(ZWGM&)kd#K&
zqr&d}!tM|L)x%)Rr?;UW|2_YB{hXP*(G2Kt8q7b2!h^vp2hY#1vCo~r4w(Sy+Z`YF
z=qWnOfjTnJFi?0&Oexl6GNiA3b*af99U8DmeY>!!0-Q}QLeEA;eW-?bfK4O$AE+>`
zH`k~>?}ZOeU-3{8H_ur$H5rBl0BFwvP@sZni2@ZSzY*gEHdW$zWNm5mcsM$%!jVmN
zz!^iCLw$n5GQ*~>m54>95qlDS%aU8PB!NlXH_muuV(bI~f`}-YC5#d`99KSCo8|OZ
zC9NF~_cPTF@&_H5p2RG0O8&5*5F|@5n{^x=q5o};%wezljCJ~}laCM3Bp)1r>tMwq
zt3+{cqcb`oo}>&hMU_WAUl=fHxAexLz(42Dfti~xH~OM!vk(lYL}Z=970G1Ws#m@O
zS&Y!?pFa*ju6k#|192O5H1vvkZ*0$#aaOElvPocw*e-2%GW_n5%lI{?m^1cO1HE+a
zW#5ViWf5%2$MpWs!?nU!&&tJIwaW4vvqCvtg6?+5bv2r#s2O9V%ZV>v-V67-7v~X2
zB%)<n$WG83VXkesv^!7oGAB#xWk0f=^We#r6EAnzPQ{D1&Lr8;)BCF4IXe|2AZbyg
z>nWS)qjIqmE+ynhGjMLR4iMo<of<Te+KE<58kAv6$JrV#9%n+95}ChscIj-e><LUa
z*ZJ#{1k;TDlXx*5ZNOUI7OKg114I$1;VB{Ct?ge10y^#t>IK|{8Tz;y76K09@0Vbl
z|9y9T`eJ>39W0^Y%hS~caAkVxAM5vgGlfPD@{bmX=XzXHyrA#Sz%tvv>a<U-U{#j3
z79to*TTZbpsAgb{ubsfz5y<>HuB=Y!1fdBpNc`y_PE~}nt8Te@cXh@0WAE&XDoLJ&
z11v%jkzDAMyP>`wYLrY#MWx1+vALMvlg4uQEjKRRMYVpB*O-#)-2QnF)M+m7q?N=_
zCdF3XVK|NV8HQVa`zH=$4Vq1tFtY-7+rMi+oaZ3n<lA)&8aGM4#HY&D`(?#;%9$<C
z_hHHndjU|q$k%+sp|j4T9O6(Yss!&F7L1XDc<5_z@#;H2KYw?$7r@F$8?ANn`!A5A
zd@0n{(9pOT!k_~$)H5ooyD!UJkON;2*kp9-%G6Y~>~*&^s}G1$XGz!^mta5b_QaN?
z+e=zkQC6-U*L{^tccZnZ;>d{liv74+DL0VuS35l`0*d-V#w@SuHNdt@;Whq+>2kC2
zOFKf{=3Y#jyfJ?sO#f*ka!9|9MrqGs!9$W1a{u!W(JPr16G8>k_7ViUW{G5``H4A7
zJe)#SRrX^`n;@foBhOyceOgzw`TK(^hBw)mlX&IBm-xR97dYD<JRX>q2|UNk9f~RK
zUtX8R%EMygw3G?IvNrT}a3kAd(?qi%{)~Kr+$m9pw|5YDm19zIS#~{mFGKa?#iffq
zT1s*<xOJ(cNL|3Iq>ixP9o!}#G`QZemV>M^V{`MD)zkq~hRhXz5}-n%?ajLqMPDSQ
z?&uZq`@?d`aNqp?{X4~IPLrO-VJ*kySKr5;o<A=9UNFHg-iooN_dK+``>5I#OMEd0
zsoy!Pm%DOsJop5D758hbFi>@Dx{i9xtl&UPw5kDD?M!cU-ve4HfL*Fp4SZS!i96+)
z%GIGCKT33F3DT*44i#{yX?AkK*#h%^O$v8zD-8&<<L35i6}kr6GiAs1DrBW%4F!g}
z2v;`tSVc!ytb7)Nd5s7X>4PUR`v+BxA0m8-<Wj<jMZYqa-diJDo5Y{0-$cs{gSj;5
zSc=R%!IM_0T-@F^g@^cnX574k_>foMe>bU^;x?)z`HXRfF!IfIAPR$K&oe~>I|#6d
z01B@_ekXTer^(+J!gJtCT)F629cBxqLipTa`|X%U+ux$FXkh~y;=$RM-PDZC6j4@Z
zMI)$@_1Vx8>WIm_qh}BH60M0E+L~-s|2L^MQ|SrHWmDLzsB^KF;l}FweX7lJq4)J3
ztW37adXeogE1aq{jZchx5Xn?T92sV+^H(jO=2ZsP`ByZ@vs^Zb7Bjnq5(rdMUQ^*A
zIsd5X3syT15St2*{$ZuC#BY^*^w+$0Sz1<BN4?bu1rq+J)V@I%6EoC*>~SXsZ`*Cv
zqoCtH`leLQu6B7sFugDAibte@?d7NS0XXsmJ977F=$EH|0p8;7;OCPgw>vcF_VcG;
z$9NBN1HS+G;g;f#k@AXpQ6~yDuW55&8tb*Ay*;2i-v$*(%czt_4-44ls-Ywh5k?^5
z2X$FH)iRQd9)?FEkQ1lf2l=TkimxO66X2Mfusykk{9PO5G&cpq6CP{?n#pDXRc(Gz
zvfh`7QXhg}ZuwOIPPSAfVoOT-b8?kI5sQF<7em0{kXk)~u8`E((px6|>e+beCyr!m
z<?5q=L|)0ci?t6s0_=7^<}ZS;ZdqJ;qVP)ELO0r;CtK$o0;dliGC0ptDk>2mLch7W
zIXOdShZUs2XCR14DIMte8I-78E0KmFLo2qk*PxDpl3-KBUP_A>m1P2AKMyIW*a)7G
zmJ+ZDkr8snr;{Mp9#22N8<jphH$Jr%Vz1tpEQzz!V5piVg!-CfNajSRnsD63mpNiW
zs6qzyh>x~ZQLVi=HIX4K<rR*0_^1m!yti^Mg?dwep&QZYj&T&Ou@N~yB2i1i@#ZSj
zAg!`3s!v<BU@nzxz|n`Qh8c_IAl=1skIP?R(DK^^NitS8N;R(mkP1Ll%%51}>@0_L
z7CS-@CnzRQCPzan@Cb!T4gAANlBYKx05=xp<I)io)+{Yxqnn(Z<aQc59E`z&TmV#0
z;Uj$hTq%DQ_*)$ydn!jh-oo5_Q^$J@UKq55d<2`z6HdT^1K(axy5jH4Abcq!X|k)k
z-9wZQM92gDYynrPw-J4+e0k#>))=cMjxiAOn;cvt&j^+tqEPVxMXmW5wWQVVZMT;7
z;J<(NJig&Vl&e8i|HjhazNb7MwM1!fWS!-jAn|5BE5V8&A_7sTYP=NPyi__VCDJ-Z
zlE!ZuUz#EQ*oI3}=Y2`E)-*PcfP;)-T+X~VO^~eSl!o&0?-!-m2-kA*P$kAl8s_u0
z3p9bw=?_u@4^Y9-fSb^uzzlsYTMS7_B?A{19Ct-lb5KQT+sbu1P?yJ;2E!M@J<8D^
z;7|!ZPa^or@B1CEx(zpL{;ZF<{Wzo?%;7^{t8XwU{rLQGR#YENpN&rFK?k3NJ%^M%
zk4kDot!i4pZ^;{bI>c+}Q)_uQ{h8dZjR9h%UPX#g>xV%!N5eL*S)u&dwLCp#so&%Q
zS_ie6(sSs=)b1fcQ0A|RseFY_un31`-t3CHFA4aOZ1J=R@kX{5SXK}^wyabF2M8nT
z2*-R$y;xi{4c;8$7?BC2s-J-YUrW=k2Va=La-F{xnCF>WmO-L1O=s|2kk>S{fUWGM
zqA7|&txkfl#Q++*tO=+@ZUX~2A1^<gc7diMccb4G9036*Fv9Jwn{XFdf!6z%n~);=
z0o*4~)Nv~uf59tmZl@RAsZUm1K657wmOWv%B(*bS!g=t$`Ae$W%2E#2#q3=P=v_wR
zEk&c#Y1#-ZSH*`Ou(HQz(rBgAMV3m$H@p5wvS_6K@xuSYf-kq{jp+IJ?;wU-us3aK
z(8exLK-x?x{3KO9gJGPJMLjYuQw!N<elx9wj|fq05GAIH=UkLIddW#})#KHKpRJ?b
z%xu*|EYzp$)M-{1C>t@QI7*{s$;yUoKs}^5C@BLK8DnRD^^I^qaY6%+PEi6XDr{7Q
zHN$zStDg-ln_^;tdHza22wI=*sGPoUmg{@HpmV8}m$eVB7$9=(kK)Y3-@kv8D1__5
zeS3cd{J;%te21H?qc(=Vpt=RO1%P=5pq65w_zG4hf`1ACwfdr0_(Z<lE@?88Uk7zw
zHygG|pAsjM3{=%mzEzfI2K*@A`1gZc!YIDJP=B+bih{Gvy~=;eXrkW1$#$5j7-5d#
zq^IxHvaDca&Lpli%TbI({@wE+!vOaBPy8?U0(O+%Ew<!TV8ABh%j{oD4`Zu9END^`
zf<J>Wz!pzsiHMO@PCQOcXN>4@WJyGFeB?ZGN9k9rw=9Z|nIcWBikOn<h;($ARwEX#
zoG4gSvz)>W@RG`!TLa)Nk2bp``Jwi+Y8$_d3E4cYQp5t~JDOXxLA$pvJ++WKig%-=
z!Q1=r_1$dI%a5S^>go!--20T2l=QSV_y*XYGvL+n3-Y8FkH_lNFZ=3EI<MgASl^lc
zss9;PhxEfkX#s}upWllGP)?t%hMs*HswB$pYY1+%`yHzJy+2H3oZ?UB0}-Q&He&yJ
z>Q9D%AYVt5AE(K(5$WNGD9Z1(idDWk%@K+v>&gmb<#l(JX_k)k9w)c#ySTaa)$+YR
z_7=-kaZ`7{kguaQu3)bTuI1A#^$>!$w$$wQ;)^pEMExwegRA06+)yD4U$R=+=(yH3
z$FEYJZR0h@b4rzA9M*|e3eF`mip@BnLUaw^8qj3oDLbgRoK>mR8Z@k|cp*_JJC<uT
zG2e+BCa!tsq4FP#FQPJwTV}9Y<?8aK{WJ~Z%LOc&BG?FJl00}V3>hWz1u~K~(p1tJ
zlC8^^0NtP+Ran4bng~LmWC1x+cnU;j>{$sbU5nsfUwAeT+vj)D5dwt^0Cp#c{ec(K
z+77TcL$nAI?kei8M+DJw>^<9kLY@Wot01^0ie}8K`n-k=Brtf*unRo5SKAZ+^j1=G
zx{8YU3qoCzgV#_`h8>;ki1%Sab!w0G64F<Z778uaRiDk2%A~kyd20Z#TmQWPB6jc<
z2J>31Fwf_@N;B0QB--*{1R47i<C}uK_p&0ff-GgcykL%a9~+o)YSt$jdObxpRv$**
zH+ALJx<_xmru#9tmeb=B5jjYz<&@x(LTO7S^AJesE#Hn9?Nq)N3YQvw2O3uhv|#Gw
zZ2m6K0fynU5h(huhZETf^Th{|<ZFrY!jJ!<gTG_|3M?Fe1^3Pa{wBcofK*s`82d25
z7OVfeQD=T-682R;^eZ9YcnX8|B>c?E&(Htr`2bEaqf?L(^YOnF?5O-NLHkjHoA+<&
z!vDR#a-b$H+7pV0s6TC-X3bKraO~3Ho6nX-3`b<tR7@rJ)^2AZC8S&}rfOlGZ)FHB
zskRo`QgeUeF7$iaFH2-LX)k*AHeQtdmBSpPCN4}8m|McSRZQs%$&YHEf*a6weYZr{
zCpsCPh=jS!wx1=8h1i5cLUCndX`iwaZbg4@z3;Ad89?OU`?5xc3p3--VUM3^UL#$k
zwI@Tk$vl5s!_2;a=`TVFA9fr98=l?ItGl1ss^6I$<w#>j%G`Z4XxSo#8u<=4epWbw
zTBfk8U);0=W?!x|$m7znX&gl{I4#Q><jpS7JoZ7N3j+cUc@QtvYt}%~(N><t9-SXC
zXnZM1&JVktn3%Y?cGH2^MPKMA`O0<TF@Kf$m8eEXh$*F4#^<n<<Kp6?Mj`ZXdfs#z
zEw^+Gc#Z7ywl++Q;?ogG_ru<nIcq7g!p4d#7xCB;aW<pVxDehiHEuNG%Y3Svfz{Pb
z&CCFmtokfZBFK62H2o_;Y7KIhi_Jskf}Gd$NK;_nvtnNeNoUw4d^l*maEf%3o~SPn
z@DSl;%Po<xW~GI~thHka43#Gf)@W<><QlBBXRjy7-o`N2v1KS>GC_dr_qvA$osY|E
zk9}zJ97v-(Tz|Vr&XDE<!QsX3z>=}38>LrSa0#y~IN5o@(Fjke?t{CWZ)?p%uBU~;
z*r)I3C+^T=K+Fc|o=+gm`cat+@cHC_t-jfRe`fv8cYvAk<IlGrf5In2+_Jm-G1mim
zXTRk@T_iG&WJ;v&mL{o`oDx7Doho12MB=8xEVU}0Bi*lCp-HikLyXl|$C`>LilRq2
zofD0n^BxB$@13^uH&m&Mdc>c>#xi8*aqfcigOfEH`qfnNe=oZ!MR_Z6(|{_svs3i*
zeJ?#XdL#{cG#*;uY?+;${+r8iTM|0*SdYFyO~aGF2g!EIxmx)NiyT%6Z@fPTt|{7?
zo{0|1VPLjmWHT${=O#D*wQ;^#aIgmBXE!%4;r`7ZpXpe!cqtcN;I~@oVbFrNp2enZ
z_@q+`FWS=Isg|~5bWVMpZ`}G8G>sI_dxA?WsM;?0Btt5Lf&|FVDxUD?I@QoF5?7_?
zc)a`)TB6bp7CdPXRZ2g6pGv_^S<))Xo=2rAZe3Bw-UU4*D)Ah(%GQuJH-=<JK}mt1
zGpYHmk51XP03#H1*HG!GjL$)b0HWDg5(wm6=`h$va*!OW#uWpoMkIuozw6bM>S*)*
zo^a03@8nUYBKWvjYX)qLivrOp+fL@}+HM4_f*57A0yVilvjXS083F8E8PRmFRZ+LZ
zq+hm9V0o^lJZHi{tb^2quZ*mf#Ue7~t@qJZ*_br)R_n7YC34)J6u$0^LDRxN6a*e9
zwMsl3tCcdNX{ipXGc`o#g%OrtX`tb(UE&SY6F?X-*Qcj&tSN<0r?$7YWe+fiKq|AB
zq^EHqKte+D7mgQM+66NX$nKIF(3kw0(C>qjsJ|`^*q?oduBdyTZL~2b|Ch`D<^LMQ
z;9kuPJ))&k%@v`&@WsYTN}4#lzbPrm&!<R|r?`|OX=2Tl6=TTjTA-H{{Puh0EU${*
zLWOSbTTMDbMQgMGvUq!Ua47W7U2CI2Zl$i^evy2VC9k+jx<6^6V)f=KE90~abVYz7
zXtUHfU8yQ=ia?rx+uP8kgyGeXP7uz;%DB!f{FT_BQjt)#EVC(r{`rMYb@nu=!>|}4
zatvJ?f%XRG4QTSf+O(W3EeAX(J>T^BT$ncMe5yJ`>}+>^X=dqgYzGcHnB(bEAUk)v
zY($>K7iCQX3%t=LR8D2}#!{ph+0-|CJK=ZI?sTeBjQI<hekLP6<t|F^MQg!D5Ad
zEbr#w>*oo=L%lm&QNjEQ1d)aIAU^Lkh}RM;+$a<__e8q$r|w2|T(r0s(~rH#1Ccl1
zObMiI3`eg1@yVk%xjv8h#X$8TI-iIY&*Cm;`rK=w5{v1`(lH57OFH;sR|=H>ZARzQ
z3Q2fyD)+H>;6dAXd}OzBd9$c6K-$ONv=!b7LY~~vf6*89+F8y^9G%K(i{a7TyOw0m
zrKzydd&5zdkSb7Of!*tK@Fs(`ts1J#A7dn&7)zgL%Z@$7Q4sASWFxqEIooZG^$AfH
zEqC>EnAfU+u#iwPbB68u%nWXO19y()kbgIfTkE^!(FC5Em#MJ34Lb{qKh=)^ep0P|
zLs$LpU#ATpKYOwMM9@OMpjKlk2RY(BePA=s)!Px$RFD)Cbg<${Db#@l)5QTM)F+W-
z=ib;#<+MZrmikZOzPO2|uhwl1-}3bQ4^L+u6ovY}{iRzek(Tae>5z^kmpZg`cS%c^
zfC5W*cXz6Qbf+|mbP6H@qVL0Z=J%dIoHII(%<fb7eP7r0vD`48oN6DWqh)B6O(P@!
z*=^$XeHS8!Ke}mZI}?!^%CD}7837+cg1<-8ANwp0TKn!6eapwC_EpY|Rmz(*G!?2!
zxQq?V)Rr7-^MUN)Hmbgvf>xgavz&5<8e+FVW`nXy6k!Xsj}wXGu&kuh3jbc}CDsw?
z3$SM*i97dwi|q}19;){zkt}7~jp(10FAG*<CTju}5;W-4$W|*_mvj#K*W_4|BKIKv
z+5vn^veuYVoSCEz4A#7I+ZunY6xfV5$y_Htd&)yzfosYw-kh||zRYYePQ><PY^Xn(
z{LkyGkneW2_YZxdJ$%D=bkE}O3v6C>S(;mCxvBL(IF~LwCeRy`1+TN!BeGPPfcw5&
z`@f1=s11$UyqC#;tf|sL<akp3Usx0e70m{;-d=t*FDdge`MwgPS~9C!uK;fWs+T;=
z-(U(2ER4gv`#D-5cHA`d&DnaVVXa`zA~3Oei9VB|DRL&2#`m(qiuWAf#AHa<Dzhht
zE$Ozh);btw?Wq2r768g*_eD<7{5>Cci>=d|4<|eBJ{m1u$5t%k^FBceCip^S%@=JP
zGzbmIy(d>Dm!I_#m1r{t<=WkW!+4Ck!Z~D{u+c%IeQmj`%%Fbxt=jLfu;%q1zpKaa
z4O_{p%pK%Kp{>BH`TW07$p13d-Y!nC|28ki+<w^tGQ5Y~1F5;3Z(LYa9IEi~iD1N?
zn%yl;O_$<9UNOEvggC(C;$4UHnb}I%Od`@jokPzmmqvug2h&WhOgqPSb%*|p?<ty}
zx_7?i*zTo*^_5Sctl>N2ReQjzm6%c>5{$FAqVVZmHCsQ3JjMA{$`YsEHyb_hHFuPx
z{$<=|F^g#0!CRiLm2Q&ZAHy&Ix{o)FWXz3d*3Ia2D~~Rgq7q^+Xp+dLnOTKv@8YR>
z+o6_DVBkqfA)3IGc&Op4uzE5BL-F3sY=yw$7=Himo%<#d($&4s5%Tf%oz25;?N>Yn
z-MaRh1K-%a5s~v(U=#=v54W+#iL*#CNl7iAlwTp!;u!1IRj^G~pyQn*1ZNC2m{NFf
zTbCm6r?29k+&*4lG@vsQu);33!Ct-eMf7VWHLNY)Z>DSANpL#YQJng<Xs!bZwj==r
zOJ7lwk*<h=mzH0^?)0K})OkQ3%<ja`4-SAh-?8?3Rv^z>`x_A|jtBv~qLB&R05wMl
zRB0USyzyA&SUQahs;sq<0sKA@kV>0S9y|oU0^eZ|+0@?=Kt2UYGXZ_Sj0?_Ad@FVM
zaOoe>xF<iTP*CwgVaeEi<qw4oM;zuA+HchfMarI0d{&t%_(YdthbK(DWS;h8Y#gXw
zKnMU2Y5Z_=_$Qi^vxO6<rI@UtgAN<oa`TdaQ^)z0l^uxWO^wL2-hJVSZaF!iZ7?uL
zd!^}?1||hYAFho)+ys1R@9P5@ZS5aEd}wV&gMbYDyL8YdxC!t<d#N7>`75i!b+&rw
zg-Pp*;f)S(54X3smVUp^l`C}&O-vRIUr<w@seC(ZLRW*P(ufX)E;-N#t?0SHc5t<f
z)&PLAaOa2cc+<IkLa^$Yx$MvarC4UZosNPT+M$)wePg_;1&kG=SkkiQB;6H5i2Gyd
z4o9CBo0_&f!p6`s_jUif<|HN<krV{wM12MfK7WA$@9oLAUk7O;9St4R?0hCovkA&_
zm~1-UD>Y?m*{ibE%y1rSNEj20Y!%`tnhV1D-FQglM8}fl2x6rmAK$U}<iOHVAfpFh
zWuG{N^S1T$)F4)=H;M?f)8-0d85m0U*`EU);bub!A-q_j7C|WUT_RJ#CSe}lPZx#m
z02KOM3>=iq^yy*+=EY5ZIigr$X0ER9JcDg}Qs04!4zxXApBX2mbF#4fRs!I>FdEVU
z$F*EXNi{0s5K@>W9iE*@o&<pwHOOl_2lKr$i4;(lCVlid@I$0jQBRGu*+OV=Bi3xI
zfBa3Y71jgbC#|gY%J(Chv9KY5qrno64I8Iv)XFvkL%m{-6AdgNaOM4>pgfw>yZ-aR
zw0;=H$@5(qJ&FY+7lNvuP_%SPff8s9@*n*?&d#xGuYt|KdE;EqPS7=)2@WYh0_pp2
z!(y8Sy-enzBKvSs!TIoUmvqS~o-2-4d0}?uZVU^>F^ASwCotnJvo;8y{iWigS@dph
zva%?)D8#M^3jZV~b|SowD-aMT9;#-As)>4mhNfZV>3OB`_q)d5tC#;gLCq8pu;!lg
z;=b|4{o<>K#m5!_H!97`pTtOiqRHd{MhjRafTI!3BXOq(Lp#l*6G#$wfB2rrZ@wQ4
z8_P(D>T>l65HU(;8TQIZ&Op|!5NGM`Y7zQUd!`4X0rTHffyWQ5l47IUXL(+yvGTLI
zFcS(y)k}_;Hd!jlo$^1tMu{$6ils}&|F|>}?RScBh6vKw(57AbdT+?54z0_n10QO6
zZCE5ec;Qqi%TDXbaWZJjm!MWk@j2kunwllVFeSQuf;d;K-#bIeSK4|9&e48VFt7E0
zC9X(Mr41iz$s(x5m8VBx|2>#C;?W6M%3rBF%t<B5`9eCZ9xYZrBm@9~`YQ?5Ni~Z3
z?S-<FU8z8bIq9>C#P3qG?TddIU=XQD25Zf*KY6N5DL}BhPUfntqVx)~SmDOrr#>9-
z+1J+Q<I`&RSj(BC5de_U>Z#AWxg<pKF9AD~sA0kbTZ%E^eV}=1d9zkLf+=ixvcmy4
zkZrSVqWZKhho1sR9*edwupQ2o&?)+Kvw!;pEr~FFq(s>t))<h4KPBEyu|bSpqRg{6
zw}vCGjB95ih_|!7O+)EjZO<(bi1FTzxBeYvOu*~}CVP^IB@RK<SDgC%qnmq!v|B{|
zmrrX#*k1EWlgYvFPiBXPFS-0J8(PhxB)+OgetLEZ6+{|?4@V8!R1tB!>h-?{<23M%
z`(0-uqlQ#MpJ)lqy4LdxyjM+1dFBvPk;er~&EM~BeM(Fmc#xTyc?%ZN)lC2i+WAv3
zo%qUJpZoW(2H<qwd`@)x%|a1|{-1xXlX8);#XZWBcdBhDBQC*vxC%#d#L4-2cby8W
zb^LCb*Ysbkc_?UUo!|d8<G~Cws~IA|6aLCt5+d3@$lp>~f~fq7cteT4e@`fv9LOG=
zlh9Jixl2<3nZmM-vzNtsi$g2C|D4+tw0jmEbTMfo4!lHrOR~w7Yl;ZawO@0*C!(43
zO>~geo<zoBq-9m}y5#8|&gNDAsKK^lRiet<7)7SWJ2X~NRUr;;Ex~M!ZvA0*Ab)J;
z80XvqkmX(UD-Dp~a<|=|aJGoBLZV=25`fGe#PYFxa{yUZ!il`}Bdvney1G2pA?RtO
z1r0iED{Zxi)wQ*5{*|#ma-z%&sLoS#o&jFtU-$)ugx=QmKR&fF4AR`E2xgmVY)^Fd
z$xea1nNO0d6pA}=^T6z)i-(Tl?Q1<0qu8G~`!y?}u}C_=gZO=%7N!)uLAALpuhe}j
zBDp+F?ee1yoDQl?AIm|b5NWgjb8}-5YO=-JNn|e{7d6+wj&tpA0vi=+M{oaAvVYu2
zUlfC2F6o*kF{<jVq0agus>&NjvQ^7<a`paxtu^Q1L=j9++2~nWOSQ&yW*=%Ien7l9
zQjr-MrJQOPbnD|jF&tLac#dRfjkP)3nLN4sm%q@F?T`P|IoH=eu7Jo(p^H-QRi1kJ
zaM-^#XT^}lq9-D!ja32>$w*R-52lZ=$T+$XZeLU5Wr0kCR);8iC01G*rYyx8e!c+W
zm_l3`76IbYmg!X+2Ss=bcnaj7f`c2Wz_1n&2gSRE^0c}@ED}h3-^+GwV^$2iBqoxo
zjh$+r=T|}s#q5_Cq<nHE51}3OHlZv|3}rEV-u&dvaM*-ST1)BA-?^XC&hJ5bl4<>m
zdu4ED_V)Ik{vct2;0eCYsOm5nP0fq8W|Sk1uE1wRLRu&`Hm{S>2|W^~K!OZ&z}-3R
zxrCNLlKIWg>G6c!=|qaCPo$o@qyH@uBD7Nhd(1GZjjby!PFR_6`U;`7<5a>pt3zwS
z`opoRvb0P1%7bhCWu|Hb{@l0om`x;zR0o-|eVVm2KJf!MlhIyyDHOxIH>MJlkZ8EA
zvp@sIVj;ck5X{RchdXlvuxHQ?CVLI57lArRV-Ffm0|`M_At*Q&^eNuOSBWBLFJ)no
z#nH?t6yPP%j`fzDAZ^r%SyAE}((Du+oB1j;JR+V${*hlz=#*DV`1@XXi?L(tWgbuk
z>1m%9ALyE&9FRg}zHKdMQx)qbr=*>E6?_u;C!N7;Z4d<!ykvH$7apMxfvW8Y=fR58
zC?^g=r{CELB7KZmT<w5b;Hi|mELEm&!0#O>%z}b)@#l6E_eQ>*iS)i&9QYF<L-5}%
zDXDU+C@HRo^Q}WGc`MfopDo`}EcMpt>xcmX&;>l#(<%q^-)&iqANm}=ra(@m(BLQ5
zp?oB#%}AGP!N;qB&@}2IX%^6yszfB?@X`*b+T2?(voj0b>Zb8fru_G98En@N`{VjB
z)>71k3M?8*m4kh^tW@hr2NL;NfWeT*9PRbf>%HzySrcVs9pqKO8Y=iS*H#X*uE5T8
z&-$41=k(}Wv~)q3Cu-p9={A$w>Dn{7Fk+0E+;75d7IZPgW0^_@4!;LH4Bx>@3HR5P
z;(N4nksOo33782w5I2F*13U;VZ0>8^cO}r}0TkppB0A7FBT`1^`rW4?%T_8UMacK`
zPnlSAOG`^fN5+jJX!h9lFtU|@PV+?2pU1b`6t94d0bVBCMXj4#Tfhe})3=9jPgDqz
zwO37a6Af|(QP+qU82f*K^vL3$TKWZ<SgR&WLLpz*DLcwT6~Y7j`EN5?R680rM|??X
z%ZNqVB|~A4g@w6T<o?+L8trdiJm&E4i3}~-Qj>2EPcjy?haqx!2S>ioo@9Qbl(K_r
zX3Fs{#5V?i$fw#YiTJrq*_cJ8#F4usXRAQX8G{kfu}RO*?mw(G`{R1As3hk~+!>7M
z`|`Jc`6VN3je+DVaT2?mg3aRHWZn#-06ae(y#cX{qmaqfHWM47w<80;T1O`)08z*X
zzu}irbJzYcFNB3AlPSrn?6_`qe&Z~m&Ut_J^4cE=>oii`g}A0OlN8Y)R&hTg=63|A
zdPQHp{Flew@VHP0U_j+1&fRyu?9d8E-`#IigegnMyc8fNa2Yk|e4KKvz;n73VDpjc
zVjLJR-H>DDAO3Yc1;UQf($n)FWOF=+GLUyM-;wKth<bmN=`w~dO8jjQa^g=3lR?cX
ze!EyhFhaw_L?kFD&w#mL2N&BtH14r`4Z9$I1Ns%;?*ICVx1AYwr$lSP7I-v!>-<I-
z6{XVs!fe88j6RDpbP*$ffP!?Wu>g_~@8jmSDfzGEEiAcY`8d*?C1RvE5F8_w*Sp}B
z;@|wXtJ*~giIs!s$RRl-!(Ztz&3-{nLCgqJrP>o}mv{|)c%)*aNSwZtM^fKv&j}QN
zS@!r5L=&-ElSY9qb>t6_XQi_|ZN@{2i>|PL)I{a`6K<o2;?p@V*>#7%4YDPfch&|5
zWE=n4<d&)|{q&tFEgGBa&Skgsb>_?bZVx(tps_qU2Pe_g6p$cG)@9?zB9`{#Auf=K
zDhSauQsv~;CBb$$f3L#ZCC82;%=RgkDzsOgi=_lLBn%zA5emFT)aJoIKzl;|68g-R
zj|r13%Xw!#L*Tz#k}&K>gmTt@nOL-dyV}Gt?uY>~`_dH%gn>drH*ybu_CG-<F=-Yj
zhM0Sv5Pn8z0m+-{{6e~=qDJN(D=E?s+51J2Mt=GyS>Je2x#vw|t&-mlOe7S6F!%@1
z4UEguqm18{tIafeO*!oTg(m5%rL&*RhzfVF*9%_N<nB{PR0u%{I-~&Sg^{T#S4#&r
z_;2d5uOt6WnEFXHoS3!r5*@6#zv8ifN=q4sNa-AE&tulG7zAIpRtmt!h(l;1C#<kB
zRmmU)@x$ZD3kHmh0cUp5yS&JsF)=Y=Skc`of!@#0$A_nSF*~SVv9W#_NK{a0H~!I^
z938@7(>;LUonanPO6rJ3D56*w6GyAAG@-SJp_^i$aa<-l=+Jrx;AR59D1f}@ru;RN
z73JuAn#q^XWbA6uZI(%%D6=Y|R(blpk-<!|DsH-khJFMFbYI_$>Q9afn3&{(L)oCE
z54e23x@-{;h}zXhqiUj3j4?z}o}SpX!7AJAT<(u01#2P>mh^EI6_xT}Aq_2jweOkh
z7=Wqn%Rvb)WFX5L@)F(H*qD6yf<FsY8*joL0FAogv~9y<^>UO`$7=QM_wC13_&;k1
zuo8L)*f$h*eE;deM5y199ij1yUwfigp|ShV^a)-7;jCiu?Aciz<r#jG4d3-OsQ{l|
zdyEPsYRFidQdupAFoF-DlUmWSn-uq}ii`+0^nT6E@j9dubh~m~yStAZHCJFA>CE=I
zB{O8IGKn5dTVZ&vp!^q)swwr|PThc>Za3N~oHb9A`#t(=_BQ7iR8&c434FT(>;iDu
zN3)Au$@V7*<d7SZf&0D}tz56~w?tmk6(<qF=;suO<$wKFXFr?z5pBK6SRi%T$Qxi)
zN8MyyhQ@*wu{y%)fQkn3Q_eCcoe(rBXN=H<?M8YGU!pR_;fHv-7^G>jCGNmVWmpsT
zU!g$o%(BbQ??GQs!tRU&jGY6CfjZ+IWps2j=#~a}9s7dsYUR`iME3v(dh>_3F<{OQ
zgp%Uaj<xk|TbG5RQ2$}B0~jl$rDb<iD|N|&UigP~trHdmR3-3|2hw>c0le@#^vc^?
zqEomuCB8&X`_)30g^!Ga$+0FrT;T--YIk_SL!~${B9jeCl`COD!Xsn|dBQ_6msdWP
z)&@qGV0Ja%|K9))crXBoeguiOB`Pj40ibb_Ys)*k$x0?9RFqL1GQ2g*N~bAeO0d$?
z86+y*00sfj{rL5rgu8T(KniMSmgyegafNIwGq_WAub9*m+|-uCpk)~NKZ}@Nb*imt
zUdFo%aaT}nvv)GpGV9DXFRWKMNzRgVJf2ZO4E1qaD=WO{Mrle|cF0*`lS<)84zGH0
z$`1Scks&4aV<I;(!eqTK@~wuH{MVm^Z3~CI+tGJ4DasKaZLCq{pTQq?Cyf#l6Z_KV
zGX;xoAslp9c>;HY&Fq`V*VZ-4wQ$5rN;hCC&Jg%xT}y>Cq*Z=v{Ta1Xkc6zYP{s8G
zYEI@JQTMAe2+`?&8kVMoero8`LGa=5kkziVWo$+odGSQazzW8OjHhGR(VXL-;~5ZW
zI~8x6a4?wTms)zWy8MJ7XzNYz{E{Vkf<pZ=1@_yJymq?F4zwV;$=()(jvy{1J%+6D
z7>=}>CXQrrS2PWMWB1`Qq?Wq^1^KSyj0%D~FrtF~Q+opBM@R$@gOkRmo3k`fM{lM}
z71LfYyH>AyMj!Mee1kzW?T0N8RQ0G`|FC~)+5vjY0D1i=O@8q(`yyzn9u(w?Zvm{?
zrM+9ClW{DwMVO|5uKioJ6KK?6(Q2H$1=XoE{&(^Zi96pD>-)~j?fscQ3gc*}+Eqaz
zsS~LS%L30~{d=zGA5kD7bmbCe`IvNfeH!<O3@f@}M%}vV%s}oHttsMgS}IIBHk)fJ
z$|>3%RsAuG)e#;vJi-VDtx%be7&!vG$h||F%JT(atjTkK>koe(qaLsCfQBvQ9yX$i
zj#VUADPPvqNE*p8Bd4uKp*+4=%AgGN9!o<3UZXH7Dyof4C+kK1%;9TH8V;^wivYJP
z<UY{eb6!J-47&@mWw$p~j|IzYtMU8y`8R4+eqVh#T>!Fvsj269wMkOW#h<;!OV*kf
z!lCE{Rn!YXAO&1IZR78NYxo#iSrsUKqGWiWU5YeWK0T)LR(5pGvN=m|NNUe_HArJr
zPG06k3X!tq%cOjh^`FWtGYKP-(x+0T=-eqcVJNy$vlX8#|D=tAx}#V>*@nCvik!g8
zR{PY83~mC;l@y{VzCk|5m5526qM+I8xU+~QH8OY+k`lU2RO091h#yEo^ai@SksO#O
zhj~a{6ZcVZt%MNrkPJ~hB`vSO*{72*1r=TGgm}-cA8g}%>0@Lhd0N??Soyp=zh)P|
zo;X!6iUye2XDPrLO0DAk@?Ja0W@~kU&Vt7A-%m!e=45h=$?|bnYB4VrOIyP4`8lvR
zBJD{i+7w9E4rjEq6&2GGF`W7oTMF7{<dDf!a3Gfj8*QgbFXfG>X|w=!Q=#~iS;(p5
zvn>BIsgRC;xk)@?M~e)~Kw}q2`Y6BLwtrk<F+F$z0UqqN(OD8>t&ViM25j0JWX_ow
zHl4<jw@a$?Kf$%Docw)v3(^2z5f>HB0vMWBLjdc#z&AtYjS8C8rGewW(lfajOU&0R
z)}Cvt$X}lK296rfKbO~2shS!uvR;$%RFR>HvOkBk@KJNls-KEjWhjV3W2E0(i4xIB
z$#S77hT0Vg+jKse@e&QPK+R4!fN`Q?PjyQDI3R>(EX)yeeATq)aY5AZN%u2&T31@=
zGG5YmzFK8BNb{a+;l@N}Ep7R|HhXUgU0k1RQ*6%~u<29#elJNI!C2<@yHRDm*k~9l
z0k`Jc70Wb%3^*b|bBW1_?&}yymIFeGD7@?>@cP@MY`Mk=T#vHyq*2AQBL~I?F)m96
zgPKSoIE~f6j0w*_)5IsQ2kiX)+4JK3;?4#ib(euahi9m49u#)?c=#a&OCiaVa^}83
z-@CX7eiA?v4DR>jPTb*vMKlm}V~1Q+44x}i=`jVY8j^N5V>I$gZz&ioMhgU!HYiN|
zL3Bh-v5aKg$<7dRJP#v`$jKn!NvH_5D;cW-CZeMI8mo>vv7nJsHEUGE75^$ItVH$d
zUw*GpLedG_`M>=A9M9#|>gsO)+`P=Zyh(mR(&YDpB&fI%X3QCjd~fjuY3PuU(Bv^$
zL*-<?M;0G2htXo|OW_jO5TLRPU!XMq!5eH$80MdsP|?t+Uo<fZSlpPB82|S<*S<Yq
z$k*xVOYt(v^S!Cg^66e(?{mMl^KhD01#NT!Pb|Aog%J<Q*qXv{+$60myjyv^RgT@`
z?caZY>AAs)Ik~xA1&z=kaud5AYp^er!z<md&kY5QDs{xCRWNMHLP8_F_apJWC$J6Y
z@JYMm5$K+pvp*1aq@oV<T5=}bPoysrgx5~=L*7$w<aabo+m9~?w~o8G8hNFPH7d+Q
zDH71DsaH<DPB~38Xu~I5DGxs`X7gPKfv}hPeVIG-Kj-+hddE7BdL_4I*L|@q7WRBo
zo%?>-X`K7uUUO*+Rwb9QvHVPoJSC@?;ffrB@bK~?Ca8_`ZW2k+Gk|Csmg*=FaYi->
z&0(kVl{S^Cx}(L(;gTB1F(p_V?0R(SQS9cF|G_O!LbtZ#r@xYL3J)VzS!?TE#I}x?
z$1faWc=J?1tAHE|p|QZ`i@*;x21!Md1`g?54j(b3x9@}HWJ-0&J=D6~H$xQbiu66v
z6%1`Szu}UGqwrv&LKhnctfNvw@?7$j>dS#RqF2P6SiXFXS?8DX&+i;)5?`D`21zNX
zsr6vFF1axqN~`V`zA5j?@&t0%UW$tc#tMW2yf7I3J3YS0MPJ3o^YZe}KK*cW=owkm
zTDN>$s|O~j3?#XuRv^fif21I|Zq`ZgdUdwP!H|@B>7EJAU@OG9gq4nb^C;sqdPDJn
zW<R=!b2ZJ{eM))8&EAO+3xXty9!6CcV5>KUY}LHNAYm#`s%1^_?t}1DtMX19Z|}e_
z(SA4O_qIvTmm=uU!om+j(LIasTWIhst)v#2e&{f_$wrcGl+tCi*H>kwKn97C&?*HY
z?368vGMhNq;cU)6Gl<?KyV`>Y+aT)->g9NQX(=ooNNA{>CMp7*Dzr4jf!#9w2KUJm
zx^H($|5PU5evnJ1XjMZjT=m@E`ss>T5Tuso6n=|qDP1&_-TL6;;NWl^Fvx>D4|QJi
zF=UR`a^H+0JJL^yRA8|B-e{~0Mc<JxvLrK7)2kyVLe@8g!iww<-`i8iCOlym$jv?Q
zi%mB-Gb@<2`^k`v(==f7z6@DPF-w=ex|EX7BLg4#SaI0dwfg!AgbAMFbE9*uKiPDL
z9+=Ob1;R%Uy^_~;*V=F*`>(cHH}*Saw?h6=(P1J(G?zZ_4yQ6|v}?qp(q}Ji9334w
zJ!E)U=3%AKlS`3lt^TOo!~GZ<DESf!MNIEUXAkt954#)JFN@`>Yj~|zrAFaG4m7hH
zOOa*uc?kyHb5wY@OA+7!@|m10xs*3SUbPj8+~PYnF^sMhcL0Bi`2;D%J_|waXL@o#
z@*m~sPT}A92@yWVcv4~qotO@LepmX$9U9ElnU+kWxM-Opv;!2Wxwq8MI0qS#Blabd
z5~YioU=(cbM3`bW64j5ibs^9DlpZy_=jTf)lo~?}2pA(PBVC@uB)J58=QCKPxg$qs
zj&LIPY}B+(GteQQdx<iBKw#dN&mTGou1%|)%<p3}Chj!bPNPe^bp^>3OD;P$V+T-R
z3=I$GYYl!EQ74UptbV@e=erh8G^y~@Tav1b9ci?Kq%v0w8!*oao*T}M^QiOsZOWiU
z$7XL?`z!@DwX`56Z481)QfKEf=Qqp%J@8QHQVtIU%0JWzsBip%oO(qRBC%9)B#5oz
z%jmnit~ccrG(m1dY>XoI%vThij3DStJazEb6lg2x5sUmVL*>e(l}cl-bUOsl4#tSp
zu@BYcEy%&lD`N=bXXy%vwIXe5P-*O>@E8inELL}RcIM~j5pxQ~NV~E{x7+frSu@0t
zHuS|*El{3Sd6YPz?{W%U(Qk7{9{!pe7*A_$jfwX(t<|%?K0w_2@=$u`5D7$IMN!L-
zHO<H#hNIT%Y>-Wi-G%74T1`XDrQ#9tU0tX>r9-wh>p<toHw1{~-Xyb6!}yOC3Gm_U
zc$$)fq}dr6!U4ZH&~j=2^s_g?zp#X{bp1>>$(NjF72XG<%f9m)e`dj_W%Kvo3>X<v
zdh>K?ziCFJ_<`zM4zC|C){79&tw=RXEzH?NFX*gz^TyJm>hR%#*S%cvECezS1t{U)
zzlHY$H?xg~Zso5gsyf}q#M{QwR!hiG3%9OM6&%>QZ<bq>-|cj)IJr1EfrRA6MP1qm
zw<5Eaop(MJvTHSP{$;_MIB7g1F)F)OUw+&H)AO9by3q;57=8g+rpl<71)sJW#<#*G
zyXemx@4U%Kk9vB8;Dj%t%etHwoxiD~c1Pd(D(o3&a*fPcwJ?|RqX~TUEPO2t@%sN-
zfXEgL>ygP7eBRN3{Xaj{V(qg6Jnmz9fXZH^Z<5uBE4{qD{1xBz@O>Ocw3}5%;>xy;
z{H~Q}88FREP3cuHsvK_NKqB6Q4JaxqDk35xD3~_Bd*_-c8C0kFzdX=)wGT%TZ#c+7
z0GW&ML1d|EPMkXQ9XA)3%Vc^Vp)yo6R&OoO1!VO-TTCWk3_*s-<3TL-q;dmu@!EMb
z;EYQFkY5H()zM_xEX-BbR{V=utrWwrS8~JEYt7^eLvCrrwuaD!9FpMh&)%L|-6+=l
zBMlivi8E<ZkQUj<Ulc$PA(|`vGkUPem3TSlFvaO#7;mqcYHmxNsWnluDADW*sUBI?
z6HdYfA5lOfB|J7^T_i#fF%S6u*RVTsdZ3e#@Y=r7C4O+Q%#g-T29ppu!oJ^sD5P~q
z9#kQ*^uq31?G{%>8V_kag@JaC8+zRvdpWkOTMoS_5TxFLGXpu0Pc!(?D`M&>@iDCS
z(*+N%!TO}E7&AGtffXM9JerL_Z6m_zx$oyRiRb<Cv{WfwxET6Sw6|n^o2DY2ZEfg~
zD02X$v$e3GYu<ml@*8L50B7Cg!z-?IK;z!;s#{uRI2tuoM287)rIl*rv%eKi1pKS2
zMMdF!R+9cg={F7EZTZ)4Y#duxL9T=KAEQTwtp?!eJwnEWHoUZp)UTP}TrxjWx08_+
z-%&r(SNO!mPlTu5n*J<ueRIF|T)ha<1&E4((fuEjMr~|t?CaiRlXCUkRlyp)>L8H2
zBI33!MHmgXl<%X8@zF89wkeh_ytX&?BIxJrql6ZS+1s371zj%!r@bwAS3fY~|MLZ;
zT5Ya$&T(=Iihx@{tUA<qBf8S)y0fh6`|HF2R%vYjOa%QzF9CCn_S++}p3L?9$IkG-
zuRxv)1WNfC84VncW@g&}hxHj)r5ADj-SHQ^2nBbCyG^lN5HFSwaR+m|>wHrF!h$mU
z?DC2_;n3FIj)AGEq@KiFm_KJLb&8VGsP#fYYY$}zDK^hG5qI{aDfAClDTw%v6{E3#
zzXUoM;kO;cS~O6oVH1JA>7>a#q-L1I<=L+0T4n1u8*1zv&$osOYk6Fh7eOy6zO&fE
zDV6BRNDDp{D2!K>e{-6ez~N^?GLIL?o^)wvkNBdq*X*3FwVIeE=zX-;C6oCM7VaSY
zJb%7aMLJ5kEOW_-yr+;x!Hlk)CCOunNMia*kemO|L=}bJr`Y+7uU6nXL83G0Ia3Ss
ziXI3msA8WZ<a@zhgzv@_7>^dUWat<KA1wk9L-ALjvNk7$$zI4neAPE(i8$wswS&5X
z`fEG>tAMy7TjCO+lFJduyYWA%M<5emjVDVz(|pbddYQxt%qN@f23nz#mM85=jx@+*
z!e}_Vq_y(W-%-8i*LU$V3wa@wMc2>L46rv6%bY(%N3_iERN4iVFLE|PAWaA%q-tSk
z(Q=DI9cvWr+ism|F4mPM3Qd(2l&~;DeApO^Fx)xebY||yWITeaRcnW=HS^zM!l5Xx
zg3r`~JEMB|*2tKk1DSTYnhJC7^F)R6t15eZG;%|R4>oF_p}SdoHuWTHZQ7NHa(hN~
z=i|`jBpc2)BE{1^>FF!82fJDS^{YChwf+-qrlcY4fk#PltOpyz`H$;jGO<lcN=L$>
zIGQZOGM#d&=O{<taY-DriPEuOmad{>u6?W}xNJESjktk=(OAhM4jl=0q)cJMX}CJ&
z%s1t`T1dzO>Rqq;y>TXpC$hP!I39`&Y&k4y;>d%=I(VaROBHG=u{m-*-vVTse*p0}
z#uNYJ#}9CQZ@&5WAhhl_@bt}ZS=vG1w>G35{QljleJ$ws*J#(i+r39z;A4DDqn`^t
zDuBafpY`6DLO{n7jM~M$j}}Z`Z(O$mRq)!@-(T#eKjN(PL2l8Hx378{8qBixK80h<
zAN~Z-BVcs60;+Z9M_i>KRSejJOpn+kfXWGmWaQ-F4qP;Xps=m`&BrJuKvE6#jNkWr
zq|$u=a2=$N7Z(=-%f`*%&j5Gsx8lpYSv;ZjhByEIs^q(Y2Q%1b?0x?p&H?#p<Hhff
z7;SkK2mp!eLxr?&_^es?^ggoJ0bERS*?V|ssIKqs2-JL!zXxDnPu~Cp`?}wLuEx1#
zUq~?O-`6oE-K2P2$th7GP%B8ot-i?fIA)FHdo`$&`+G(B!l_T^o?3I6+9)Z%8ozZ}
z)K4X4yi%{#85@`lNHDBkTop`3Tux;2gBGODYoDl>L;PRk#kCTa=*Yao1m6kcWuWV}
zFALZ~dcW#nGTJARUHPOA;$Pzyn;W$*NZwR=i9TSwxxfIYxTV!_2qoK*G>(%MX(P=z
z4vK>EDzfEzW)@8J;qQ4r_nX$s8T#>m_a7_s^F+NJtgX=?#M*Kxp#|&wUF?UqT_y=m
z`D^A*ieZB!t)UM1`@zB!LMQ%J%a>ij<x~Pj?pHN$Y^<%V&CO|7iZjYG$9FXg7k%Io
zeXpdYnvXT7IL5mgD)W{eOEb^oaw!x$8eUmBYo$YvuNR$nm0;~KZM+uV2cz*>J8+i;
z_Y`U5@AHD{&Fem5#I57w1%cpyI=~An@US08?{1B*fCLdA{ic5rqX-}LoA_jBK8q49
zau`OyiYH;eU`YYN;G}N!a<Z~)=h%=I%B2!`urIImg9HySBDXW-!WYD9rdl%%qdxa^
z2uWOH0D)@%5#y2=1c8^|6-iEJIMmqIl8NiI=~nU6ZqpJ?Ek3>`AUO&duc(<rP+GbB
zz(BUA!Pd>=1Eu(kO=-&PwoHaW++2CspFo6bd3gysCb|6^dsv<%{)2;}m&Mr2<af)f
zUT&ZIjv^lVMXt7akLAlx2OO8qc!XL5Zq8~~w7^@@>t~jsQ~poS)-PwUW&$G|a~s;R
z{)?}Tjg7TYUUU1O#kv2TDf{$Kb1NL$a36RD^t;}-?g9cca0FRNUDh#Ibj{`9c)Yug
zYYzS!PieqYPO;R%6or1kR?R+H=VM`pN=!q}(#Bdy7lzd+jX+$=z<Ze!<%ZoY)MUH~
zh)nFhu`95iKF7W3{H7G~o;6e^&sBw|P-pk5XIU)0+n?-q2Cx$!t!dZ(K|VfhruADu
zL<=Vl0(7&$wYAM(OYMEFhPA-F+h$n%*vK?Iei!(i-e~&aBZj0Kz(N8e-@i}{YJDT4
zfbU6)02>K*9en!ArE@pUra2S$e!^C=xuL=B;d&XE+9fYX=t20C2DsvZ=4t=szuVfe
zvByn*{<y~hsC&_&6&UT+%TqE|9*+Ugdf&?czugOV{0-1cKK?IYPy@NjOYp`8ZUkUr
z`R7$waiy*P8_?7!Abr4??IiXCq`iY#(I)WzJc1<0eFMO$)BX}fR{<(6002If{JjmV
z8;^(0=;$a2>1hTDYg^iZbsA`<7F=iNG(bE9&MnlCY;d$?Zvho(fJizL>n_NBvvpA1
zQ6(0e-ML3euvsf3==S+`<8!v2NqOwk4JHK4MaAOJO@*JawFu2ck1d~UbU%lHQ8>`m
z4dlM6oBPZltN|s%9#S=TA4MaOBTz9C^sXlt&zat5W@Z*DH#9Z<n}3_HqCMEDnSb+K
zKS8H`*@QpMqee5WSl6Vot2(>9;R|H~vzF)pW^rLsJ2r4$>#*THdBS8A2R=5Sv1f9H
zHa@BFv@tDCbHU|Jj!Bql^loKSqg~h6j+MeJpWrX&zvmps9=K4w@=_6GAdn~?u$P0j
zM&#~9=5QV96ETb>&k<%h^eeNwwADu0`lRY0nwvxnXFebP43#P5;pI(Q{{@7+Jh&R(
zHmR%vx&`k&qOfnC8b2=gNhKv2(kKw%1-=*C+Z-mgm74wdKYMk(L~YVv`%a{51xmdf
zwPXu5NvWt#F}Uu2`u*hvAGEd@Iimad!>eM;Q=zBltF6bELq30B(M4qB=IT}}@_lt!
zeW_w?brchd|1oXikc-_TZE}srN<rYO(~xV>=xRTCF-5e8hEh3DxmEo~U)HR|gw8jW
zaUJpHS_WbN)L4v<4}3@-t<lV<!{-hf<T&O`7hQ(RWtPgEiGm?ah6$F|C>W9NV=_KT
zp~wv`ksB#=^0W=RQ*PZzOsiN`bBudXM)NK?w0gDkkx!m3T@`o}|IlYqr_%J;$T8;k
zar<USiqeYd5LLzFcL12`YcA@<@?dQ$xBOWzyrdn{*P^(NP%+ZC%m4GQ?8GN7PO7n!
zraDYd?=?=B%YpFRUewfWB^KXZ7?{}<78U}e<lT=K<uMn;;RW^~4K&}7Wt?gF8OaOe
z^A!9JFbizW*W<HfXL~~9G%fIXG*`bHs}FLlY&8w7&pr?l5j{uWY;S68gjedUCn)-?
zZPX@X7!Ft<?9=NwQ(+*5DgD=H&_L^y0UZVa!%QBI`~3DKr!{JE(W}ob>BVn;di&tu
z0X(5Vuo<_+g<rmWDIieV+P9bGNFDt9tD2$_$cUz(z!`9BHn;<O0i=nY3r~T_!7k2#
z<Fag*JFo=<hN)f$0&*dGNPF+8GeE}PJpb_f^Xr}+Dvh=bm3(K<UG9LD@!+4uFPxvu
z8@}>h)CEfb?9ueCUv2G39|3)=u5*uEW`z3<cu{ZBJP<N}&w2OmovV|R_|F;HWz&Gu
zy%C|_L$z1`?v`Hy^z5J0t-q(cUA-DZfF2OAlOVL|G0th^d3YbReg8+4r4)Q9T4O1b
zWaK>dSTqo1(E3dZ507pqspzhI8^d5xz?EDfEsHXRp-NMEdzc4X?P1169l$q_Ze^Ql
zk~$kA!>L8GywGv=;ij(8VN>3Lmg+RGEL7|ScC-q=f@4+Swe);RF@)U>24BK{)jSyu
z!Ae_nYd$;y51LX$t0AZT+7RiuO|xKoYdv%}i!CzFf5^+_L;ZtpAIF@ydj2@i0?o6O
zIg;`ter<<*Ef{}l8$Yy6-o)Xa6Eb3%#Im~JZNsB1$6+}jblLS~;W|N;5gHheMF4f&
zjps;+c~d3HkB5Pdj&8hMiZ}yR)}wOgvcohN?KUvj%E~HR>FNF-@WdDvqP}YV&vS{6
zUrI_vSZ`Wcx(kVd`q*Pk&6%@p3jF{+<i)|cOc(e5y*b5G|LFEu+#9e={6e&jl%J_i
z{U_?IJJ|D0>HFkfWCf?9+PsqEyD=JtdHT*a_}pL#pB=kUJT8BYZQ+jH3rMyoN=ZZL
z?KAb^iOoGH7^_rGKSVf^W9{tPtYACmC+n#azs`c>izfAX-}TGH@#NuWgcF0_D0B;a
z9~U^zrem+eDnv!iXh_)-S`^Tod8!v3loySenrSR)@}OS+t32_Chldz10%vd?!yTwJ
zQ6QzLQv9>e2FYXCsYlx;)<X!M>9cDp@c61#>U3S~>8A-uNSyka)*F+6&@SWUNh`kR
zf~c*|-FP!8Q7Ye_<>^T~>eu2O9^J0dsrbYh)RrF2dJlq55Uf<sBcLncvrG$L-G6*l
z379f5Jc&Z_RNjK?jl)_t_2?)vhj}AkB2XZ3N&##+=~|^(XaZUmrJBzfd47Ma@niUB
zT7CSydGO4Iwhm1Q_o2ec?>NSO(eyw6+kyR^fh7JvFa+pmj+`av^CTX@knMjxm+MSE
zTQq_@7$hMY<v;yw;qKsY^rg`f9ICOAw+XI+vW_4Z^uwJ@_*I&b%kATS`}c6e%=DTt
zu?z5*H$ifZ3rx{<XU=x*`(qMU`(Gl0S0Hs6M1)LCPBJR?fj9!BkKj%07He~=t!|gK
zC${+`QS7W^2L}W>mLa{WU;c2FdyX%&30!`r!u$Mvy;#6#3byg%l{qw|KqonO>VveM
zq)6R~V80XiiT8VpbMElx!UCeziE;N>`ICs@bNi<%tenKyUu2qh25;S}FDPOwzZ%Tn
zdQ!bg`83}d^wj4_x%{<?Xrfy{Nw-xlyueP&vtGI(!}ei5fha~;Sa^i=N?gN{le5v;
zvWhYZ=ZcO*P3u1xJTOoQXvPU-F!?j)w2B4Qnm1hPYig8Og^bFOK6VI*BxSCv4iqDp
zlCVollw38Si*m8JFXtr%a<@J(cb{9iM%l{hWN5L{Vg8=^n2-i<pKsd{HJ?8I-S|wD
z`Y=vO(;Ol-HBqj`I+TG<RsQ?%SFBbwLi`YumY$w|*F)sdKv=ctP`?b`6{ZFTAgABW
z&CSk^rSmowX5AJXZ}gQee_7R`2=Z~MuE1Sa&!L8#P@|YyJB8D!CEi~toN~|8W(uk{
zQ83%~&Q;t-0&dj-x){?as`GLQEbv!OuQOOIOb_$Ajk)%_TvDyo=oh6Eg6SKgTb9b=
zGwmV=&#+0VD?;p!I!YW3!)aIRJ_`{~q4{OUAo*}zl*Tlw4>O8##m+N?F_Ta;;C&^t
zl$Diz=4aREZxy|$GVAHREio!Hg;TUA!=toXwkI)4vf`rRD*~U65p`gVQG?nV;)Xm`
zz}2z~PmmEvg%QYDsOhbmmzz)V+Zd#km2J!L$-sHX5ITnJGs%RzVNanfnLR`lNo94%
zrVAk&N~Kyx*GF71$^2K`FRFB3cvf68dVBFyRE;hUXL+dM^E!StqpYcwSfZrlNFUGf
z6sy6j-sSK~PKwZCvesKzEun$>AiGq>I3{Zazs0LF=zenlfu|xZ3%&oVUE3#@tetIQ
zxP3^u3(4CUU|=@1s98JZa^53`NZkUgiI~sH!G6+pC!w;S$EC8@+f?LIw`2ADCbz;*
z;!r36`*QpL0XryrbsB&HkwU=Z1qW}LVLuRr7~bwbR+5hh=dFjc*TCZY>bmMbP^fx?
z2ve2%&b_SKa^pLvY{0s46$33LTu3&%c<>)#$e+gs&gc3+$ax+zkdB96Yv&z1iNK)9
z4nXOObOLveP~n`b|9X#f!4KB~B3T0ikhYm$-j0GEP}ah}%TAGuzsB1>q<>=3JHnuq
z{OB6ZkPFeST##=M0tFpLKr~n*Q3C&E%AgdW7qKc>X}G-VG~S$e@S(&Y;5>v#BMt^x
zx%}p<ST!M1#3*>=ElXMKQ%-fQ0Ae30L(96h<Q1@>lqF+m0fCXy5Vn-6JWFALgZu^y
zHWWxKse@HKCnsmF!!&mEI8tFOvJ`n^>E_De#9#2j<KcNvya0NB3dOW)?r>Uvdu)`C
zk9wkC{h{-xL~$@Rf#Xc)l{l?X`;0@?Ed1p0T||`WI+l`Ik+tRk;Lx@S<&Tdc-0Ii~
ze?ICYau*oy`ap<ImU(gI@hCaRG_|7|XgvU{2>_LW&NCd&He%UVN<PZgEY59ZY(9?U
z&%0}%D$iiDT9s9;O8)WF1>QVVz#;ExZB}*+uIu>3`F#2GGc~4^Pyw?(vR5-?5tuN`
zA-<DQ3;O@CVU;X#*w8PhKLeE!qb!xKgD&_e7pAa<3=+BOj4rS#rF@h)c!k6cNEOyi
zNUWB)amhkMwUC`<+bnIdIkH-g*1B9V6C~^zq)&9%o<*4x)#VwzbRe=OpcOE{o@Z@L
z)2?Oh3L{_Zhel5Gw0LR8r9Z>hj+ViWltb>QavZenZkd@~sW5rFBb+@+9)H>r;Ay^u
zBP&-D@9?_dREU%<3dT<o%8q2ogXE==#ZH?+|Jd~a=<z)3di?RGsHmtax8L7a-AhN`
zA3+KhNLdNl&|P@_0&MJC&=b$^`+(Tq5ssGAKEnqmSb!BPp6JgPRe;_;9KQE9^kd8y
zV!5}e?@H>{p5?pgrWZP-IHe{yPD&L@>j-A6`4Hz^0e<9n90sjGBklyPtm%EwTC(+F
zc4(^9aVRl98{WJ(?i5ax#rzReMVyQSEeXs=>es&8&f|KHP0O70m07IM01QX8s6;#%
z8hg2|v?nY;M+Lm?xc}$a-3&PI1vd~tXj4PJfTI6#xj(+sG+wur8{h6>i{(Cn{JHbb
zDHouHoPd(C>$nbdY=eK*g2oZJ%8)|3&$@6Rk4eH3wIcbKt^lX70SeI#mm7(5ziH?8
zjW#eSRb`T8mGIn~0IAm&#Nrf>b6}SAxp%p|ZMM_Ya_e8d;7iQzftORJ-;n+sQm|*q
zaaWnW=mG9mrPTj$?UAKI`j$el)y&Dq<YZRiI1md~jbAp&^C|UWM{j-E{kR$o&&+rx
zbaf)6H)9?4x)gHxuMWLdd2nN9omPmZrhsPWAUEN%&qI(XrNylS`nhuG1bVV{a*$%h
z^)*FFh)pM?0FjlG1KbB`*7Cptb1<VG-C`G4l1m8`iGT-X%|>2ODf_If_UErxd=8M9
zo!{VX)@#Z=ic=6~A$4p;ZxuXV=}C`_X5%DKln}Z{lQ%dzs$AR3S87hajiQ8#Qel&*
z<Xt#loJ%T<^eqm7ylA7Q))JyW<e{QL!+A;y@$WU=3OS$Ozm==hSv3-KYZ54qO{?^s
z$5FO$XgQHs37SS3kM^u<^{MnyIsvTAW^<;?Rf7!*_*)5SO@+EkXmVU<wF=Jh*-ylV
z4-jKEtQMMAQGTCF?boh7r7`Oj!2;j~PrcNkQkLSeXqC?v78>fRs#biNRnF1M%>K3V
zwL|@>1Qm2r6%`AZF-+J(E@DkPDK*I7s?_CjGK9l2SXX>n_RU9aJ6pC6==QGs<Vc~&
zt`8Lx8vHgHHcSe{hB%PgRx3h?stg0`%*6J`-@v-pWqgMQ4n@P`T|4amsIi~f!;aTm
z*ZdTev?}V~e}4aD;JxP*DSHX74K5a~4CI1hl@)UeZ&O*ezRtQrzaXYEyvSvDXNpYx
zi(vG=v^G8_B!p8Cb%8DUeL}Ap$XCT|Y-*ZwX-C>No(;ZzZ=YppX*nvuRtjiAM4$fP
zBBMQXEDF+RMkQ!J0~Kp$nAD&}W5q(B!p`rHQXRU|{E7DEmezdt;1M4DmVF)8<o>V#
zf_a7BTnTB2{I065y8{GwYWdl4@O}c0(w`I{ToCZ)f2OtfFy>Exc=WY*HJi}Is%}Ic
zEl($}xqf&6MERA+OK6<4UHs3*00?xqYt#<}5$~`4{{7Di@6vvswcN7@a)Z~GcBUnN
z<;@5^);d{}O#6Xqwb*0wqUax`{G<4qYHO?wvhU^PC||sIx8vIuJRzlxUD;BUoHfUn
zYVVMZuah<-*Dgo@c?U7ZRM#;WD@BKF|AnhIp2kUC)>6aAl{BhvdAy>=&EiP22(vm{
zVS0=ra&U+#j5LqRvgBkq^^1Tm-Dfb|#%)7SdFjO^!^KU#MUxd4RdTD=sLw(2Rwf37
zIdpXy>b42W*DtUA%oO2EEsf-AL&4>$5tEm01;dE|5kpPYQR5oT6$<-Mc(h=8ydMq+
zky^n=`!768soaG~v7@yFn6y#mG>ZMKj0>7J@!|}Uy2JuJ&d5@#!oWaHo~i|dWqzl0
zC{qVN$df0M-5Pz54=YYm%h*5rqkFhlYWCPtG|9;sC!=R7)CM0;1x%?0U(AG-P}yg7
zb!zA8qGFoMvC%A;dCAmIq<C4SrJ_N2LwxWCja~fx4IL**`Ef11y<1IRYt+BsB!|bj
zh2gUqzH_b{UAlP=`F?d9D9IhMox^PLH?h3v{i<A4Tv)vEb^#K;>a#lr_9XawvPJtM
zvT$WcMxwN`I+eC^oj0+3o3ohQ$J-nA^gTsv1<K*ap}#8Y=K``Ks@1fmRp=znj>vRW
zQWAm82pO#oKa&&@8VP6V(PA<Z!Ri<b=<E+BsAG=WG;6_VBYZXnSDfv=Fl8<9=V@2X
z@iP%CI`I~|$>O{w;q6E*g?@U1-I*v$7Z+2xVpz1Gj+p%>i+&`I!>OX2kei?=Zav}I
z2Y3L1k{=oxwsUVwWxvO4sAwZWV3sPY)yMB@kw~N54|&@qgYvY2JJq!QzvJ0fZ=v0x
zsKS;g9*fXvt-~NN8=KA*uN-80vmJ`T^*}t{R0j_8WAIDyi-&{L_N~8<`9+{i-y%f$
zOE&QfK`H8W@EF;;n@a@Q{Ie(Y2J{;Le0mz(04Dn^bB~c}YTp9WlK@^6`6Gy{`EdIC
zG0A$I@6Cq<<9z1NS3Rw*ttqFO!Y{`7hLeYqlXqFTqRK^^kB^UI31wwObMta?#D#r-
zAN_3gGl8~bK9@HVc~UY1`8qU)$YQltR)|Nygvjw&OYO5Nb>fu9dQR~yHR+BGv?D=n
zdHBD0rQ*Zmr|G5{iOuTFy9;ySvkmV|Be`;|%cr+T*($xl6Bm8jCYx(t1r<#w(zmr1
zuQ5T*MkC#(KuYf51;;pDgq-=8LobI-h3s}i_hzbg!EXZ8@@1}$l_LAGFKES|{y50!
zM1hpB79qX*lA{zxxK`3=!|AvHb96Tyk<;Gb&BoSkUt2U}b_7mYwC<Q>yTl4iq#|h~
z8oQDR8f0ZcEPN??CpCQ7>OYeLr-gDbHqBLK0+(*y^TZFnqRnqUc-wvOv#a;qHaol+
z931@e<x8__@88<uX`&I&>uCvVnHi2FQKVGyS*V%TQ|nA8{47$z?n~o`^aThc&6<(S
zJVqD<wTX+@L_b}Q<2H=pyD~59H<9%6_PKjkR#wJU(^Q5)mj++gcR%VX;l^LGpEcQy
zFfc{wSRrVb<d|s6QgBYF8LkdKjx?*4VA8hG)XkOH4G%N@f6Ecg1Y**pFjo5ok0SCy
zg#pSG1-55;z)JyIq`STOU^}J4-1+mz_toZgVCFMkl`N$2Sxf=XS=KMTjME^l28USX
zEX3NN&6!Ashlios@Bg#_cH|W@-|)j&Q!>hwS!odvDH8uSyJu8QV$96*Ka|Kh#+8VD
zoYqWDOcF?5jA`{vJ11rYCq;%U@a%f|=u7B}b@lYDJG6Ff)J1xX*)xNY0sewK$%#)_
zM{o_m2~#j!cghqZ)Ya4y5+3@FsWtE1dd-Eh1Zn@X_QU{{L%z13maFdo1^y545DIE4
zxp_71y=;O3Nrmk;P58iF`fhC?zrhl}n2~*IQYV50C>+4iq|18U38LBoOaa@t=Hb4X
z`3I)cW_|=q++#pH_={WbKHm6gfv-Zn)n?~}sDBkgqgKfGDR#(RW&}*%=vtmYR-AkQ
zs%X-NKUclJwpJQ7N1;FVXPOL6l|IaxI5oZz^x#|Ku)?;jJfkq#jO#LyBcV1mwyL&I
zh_NFXxOhcG$fCZwz3!Ml)Tv%%l&p`oa6ab2T=JC{nL}5^5Zz*Dk!4~$0H9_hDbgr_
zEm2;l#|+EBso@_{fk29g<XH%L_cDuz<bVcx(E$<?)8=g3yuyR)jq1Fr6{R|M?H!{v
zD%gT+omS*w1g(ZYOMb}zrD!gLy*OYR-TKWV<3KhgV=!zOnrMef-WiWcm$N0!RwioB
zzS5H%QzRz?9Da-uG5U5IMqpZ2E6v}}KtMB_dKmIs4vyThXv~~*I(mA%KYep})ic<3
zYSQh)cqUWZYEC*G{vv>K7z`6Y`-l~g!(vQM2TB%q;~*h;1Q2{3Z2b3MZ+(~rBOv&W
z*pMVT-khuUp-0_SN+N@@Stf5(X*y#&d&(%!(9w0*z8^58>CmBCuK6^tfMKk|4nxX<
zra87aEv<s0!+XQ-s*Qn(DBe#}`0on@K&D_whq=0v8ZH%q4zWPa^WtBOXh0Gj6&?K?
zDJ}g45-%d|Sde`&_OuvB-8{!nHcIH#E>%a_tex=?6nngB?$FCMw@&U*=L_<OB<q|)
z<d7$O<W?V<EZXNq*0QeSW7Q`DQ#!w|cS|<r6PQs&e`NihKpjCNz+{gphXa{WqFO_O
zU@;un6!GL_X2M~uYo}q`mOk0yymAQJB-fcNEnwts2=*Gm9znB!a>X`tIN;14U)QZi
z#RLTpgY~Vht^i*+^!nBj5tF#Xa6SFuv{WJ#5PlxJLOtL}H@(VQ{_~jjp8v3t@9ZB6
ztmlsqk;eq6zQeL?$hPc@yO~Gf#p8%(%c<A2Qs=DaN*(fLA^QK(bXHMSc54*gl%RBo
zfOK~^C?TB!(jg(;-60Lq-5t^`-3Zd%CAsO85`nY$$2eYigJY<Bf8Sbf%=ygDKa0$n
zA41UDLCC?=MRKRtv^<YD*Z|9kK0qeSIG>qP?I0n+r+<|CxgB2ztJY_g1#MsxV3#$%
zywJsczE++teILi47e|e4J52v!Rv|!S@nhMhRi|SKwA4DLpn&uCUcK=yOfc32V^BA@
zTe{)->~}IHS{3~Wwio<;U0@*_&sLOhAsFrWo;1XwL96xyJ?^tAKLNx-O~qw8zV8f&
zv-tkP5_YUGGrflZX&51&R?er$vvlvx^P3BvGbNcV-uJ6sIv;!#ZPvTGy5>lVt(SjT
z1F}W9hMG7`(hG>F)YwSlCkocKVBMdPX}z>`sOZV}P>j4;i_y7g7(Z$Psup|tD8nf#
zeb^j@za!?kh=XTZ)#OGcC<xz`u%^g8{k>Oh)MfRHFl+EQg@p?uUVo?B8WHi4*Ggd8
zxvhUgAsM8ZNt2egR61G8M3^9^QUXF0DKg3;5oaLZvoH)M!q9w~lhdj16<wkvn@JZv
zUXg`HH-Bd(J}uQ^C^CNW`}L+W8}ZQ;cYN?mZnAA10?J}eL&nj++S%Z)A7Jfgw(Y;N
zMXLbSO2%a$l}E0A>FGUKa5-El`Nxn?;o2*jSG^hkB^vzFPZ$oS>!VU(EXL3zn==X$
z0R{vs-665~YC;ug4;HN|%getHZIR_*K!!qI1@!<`*)z``Fq0}8v;=nPDCThLUx2VP
zY*CzmyZujY+(Y(h3hAU<8fM6lW^(b4r5|V&TGQ^$O5x)Os_?bc4ELNgq5Jgf{*Dfm
zq2FQ3YLIt6H0v;@kAkzA=)5hb=9LM*7y^X4lq_GJlN^HA@UT_J;iv=xOlb=%4}l(H
z6qkNH1*jUPH;^s9q0g%}cTrMxz)yASys7(*J1|ly+edoYZpZXXKJ$1qGPRvC5+fFa
z+>a>^lY|3zD6hLU;$@_c3bt_sE`+iJQn_EF*BviW<QN=8IVU$zM5NXd2gHxo$sal0
ztRKE7Xa9gGf6{RpWe!`0DB)bK8+uooF%Em2yy5WK<;Vuyn`hX#4WQM3{rYva)m4`6
z4K8jR|FPIADumeUtou0!L?MkFjH7|GTtEQGZ#sRSKw3ggvB2{5CWx)k`TY6mdEE3o
zYyyKyux<ub5a89xlsq%?z58GMdmijsR<&PmgpdTU%iR(|^uXriX%hHRK$y?-S{9^C
zvBVD&@;QiEg3YY&-{*e2F1ypVOUM;dl<=KL{j5br_>NQ%K|&<jjD0D8JHQF9n-NDr
z-9f=|44mncC5TX&U93BPx<V_iuoo3p6c!q9Ey;4P_Pv3X3J7ymg4;nmF!$|M;$ofQ
z5EW7pYEeW+YI0KOG-gHJsK>=8`Ua4F0&c3|olRbaw!|RO4N)QS&G!>xFF7QHdDppL
zBEZ5$J0ok5XHY8vRjoB%cWi@M;u|<~<QX$=T{>|d3kGr#K%JYJD`?i1S)6!l&mYba
zU5xT^Oo2yXHz($6dFT-8%9$}KCA5ozAZbep-8;RhQXzF{8xK?dtEj%4<F=awE@5nK
zsoHdf`2>De9hp2%VVX?B;6?o$R4{=6)tG$q?5sM$frU^|H9b+G9Cfrl4CPaSBmF5-
zvE*`wM91WC&`-K2;dCy9Fs9+Wv`JzPFH11BQ+~KjzxM#rh~n|W2`g>@(-?=w!$E-P
zpPjw7q?a*Js{AGnGYM7b<>z~mk5|&8>SfnRTp3OiQ|t)@-{WVsB$c!o>cjS8>wkPx
zmMjh^uSzl2EHY<iX5RceNk+j)kP9P9W<AjFaaBW2_`(mkQQO*3ETebKW<&+BD>yKI
z91TL|Mh6p)P-}}0!Xk`aCpD;ywsymb4mENm4wTuxmpbmkh>Q?36nv2+vyRV`fRz$q
z=+4N{34aX(kuJYu#iq5;#D#i!d;e#HVz&*MRw0m2n7bRhv^HSAbSg-#^O>>LgiIi4
zu#gZC6Z<4N*c6$ARTPvLIy%b{9<H`2;_~Xn0b5ymAtt0i$|@H!|N3Mj=qmq3kvvY#
z$e$Hu;kp2c>S-GavjO{-ygdX|$f`bq-7E8@_*YT)2$=ODDNC`q=Gc}skua`o@SU@8
zQd1<{^F}#=@?4AGuKZyj{z!+CSHFJMHJ<_5n9i#o*3V?Pr)Tcqa~JXq+o|%oDzoAi
zc>mr9TsiG0&Q+d(U6_e-|J<o(o_aw6N9i1h3sX4&Q0jTv`TU0X{)Qu2IFRY+Tg<{O
z`E&qoyv`G#DtK;0q6II0fu$!uC+DBq<n|*}Q1^l6DtokH-DTMtUFcu6^)k@<9oD5n
z2XhkE!0rS{kp@nip;=(|Y*=%<G~aP;L~_5dBU9JolRFs?cHoYHtOjYi+f9Ft2zu=N
z+yzDiKtH7TlS94?mmM7`k2IB+r$B=GconD;{-Kt%1sVYBt!ti7hMg8wqKpS7XPzke
z_X@&@o`i%SaZ$wSQ4%g8#4s8h$Hcim-#o1Cj++}9Z54CeFsS&8<sm_6D~x{U?jz3B
zb&YuhtuNoj72jWOWsHxFWuZh#1`RALf!S@Oo+@^s9N$qi`qW1CjEWe3N6Eq7L4wef
zS`jRyY~RImHRdm>=?BS}B7D%jvQ|_Il)7?CkCL2N-G3{$T)J{fZqV(umb9iSMAwsR
zDkOxb^h<K^sIRlik{^z!AQC}v{eXo{fUlV<d#E#9?yN~eHI+a41)bk=&Y^cfSX$0v
z5z57}Li%pZm5A7<8^m!ZJl8If5^xZ#yT7Z?sf(+>opV|W3Bt~8Ukacu7FE8TVMU>k
z9!(oN1)fsx6SItKu*9s5{{%-BH3oIqx&ga&k9M>}NtI7aVzj6o?BwD(US?)yziJuD
z#9CKRMum9I0*y>;51Z`?ZEroKQR*uuMe8{US@1D9`Z3t-5i#(Y-nO=0OGQaI-GVeA
zp!(qB;TcFK&Z=+W>(6FQr!Efg5_HnAjGQ$RI6kr1cIZ@5Zot$PnRw4TVCSpFJunkK
zf#Yao>BM-g{o|splqxZaJZa>(_ABuq9=k9VWRgZxe6-C1V*=G^24mIV#=OEX>BVl>
zS+3X+8m7U+_n8H5$>26@PmV{m^dA%vLA1pWEffND@i=vK@@A4+Z&%cIddJs-5&b}W
zJY;kOHT!}sF5LX-i&>kwP)K+d%Ef+3GMJD6v9=XA+sTzjL7kw*9kv<^J|X<q(|aa`
zbf=GeK?c25$i++}WDVSj7xDh%5>`x?e_~w8S$Mq6tB)p3#+V>>;wAy2IxD7}3P-g9
z_#UwmGQ&!xY-gKdhbNkPZlHSjD~SL6#6NH6S3C|Yo;3iro=oF`Kr_b&R5vn>%kPNB
z)oNw`W@PJGmM)nDAY$JB9uc_ndgRH~ss}jaJbOU}Nk-08Ta27=DS4*|QFwAx>giWp
zSk*7h;2`zHI~#2~F8rCJ*IQ9rM}wyV_=M3f-o@a#iQt5cHo*`=NNK`VwuRgE06fb_
z3n2qqb@NjFxWz^UC*2?*I1nj3oOPWt;{a*M%B@#Zw%oOcZiAD$?LZB}MNsg@6&OhP
zP1JvkarU;UiiJr_|J!1n5DOZaH;)ZsJWt6Tg?Nj9iJvLN4e%(CPbc1YK$&K@4EXj6
z^P|Ni6_Ltf1l|y??kZYP_J;dwx)S5$`d@eBV^J$#s|8Qwq9P(75V9{`UV@nHOv%I2
zYbA3Y_V(va4`RgOX=Y;ZuvmTXq58_2!gTV*({ONb<L?h^pJ!Pj^>bj!XlzV{M11NM
zJNSi~h6c<Vvn*e^{0Bm*JBXET1=+tITn^*q85W!b%{ozYCQH|WIBLOSqVbee0^O_;
zlY~y*SOjXx$9c#4QWec@A|fjCS}A4Pp3AAgs-aCt2%KD?j4C;H2z4r%QS_3=`yPzq
zYknn_vd%HoH1&&XbnoQ59s)%8NIxn+vIf55HK~Iyd3%i&R4@@$R1yOKF7pv&L)<kR
z#U%YEjejBm5eAS|@<w#jYGg)B%WJsMW{*oMeQAUqWewH+s>V_8Lq7Bm$yA^LNfB9Z
zGAW-BBZ)j-e#z1A%45!R3e7I`vU#X+?(=&8gpzfjEVF(SPry^rz<88<^)xumOxE{>
z+NMMy8V3P*6*z#;JYM>5alICkjQNM5AU)^I)(=J5)HV7x(*y^YXH%{0sdC@gs-~qI
z6;GwY<YAy<Zk=%Z?Bzkf0x@JtMkA^#*<ncI2Lt<awT@#sH<mjZYp9tF$P9&ipJ$1k
zd<6;8GEdKgtYy7njsj2_Nos0q3%ng|P`<jHyLbPH_+vgQJq!9k{Yh_=_gWC>{*?*2
z4E=(tKe^7q2-Cl$e--NRQudJCLJk=wY$kF}6Th*so<y-wImtMd+xY9E+NhM+aZ_Q+
z%qQ(3>2oI)t~9;Tth$?{MaTWow|GVg%2?Q+no{?`&~L{ff(<k5QvzAs2@hHT%v93l
z@$?WMbc+Vl@=|TyoF-^*a9^4^8-CE7CmLZ0bwiNMDL-sVOywtU<VeB}LIqdtRP6y)
z(8s)y0f=8b5`;4AzThJnEe>T-*LQt6{7-d;tWqzHe!a5r6OV|e#Ua};lO9kTQ?Rr!
zG&Ho-8x8Vyx;|M=*ByR-{mOxeSd}@sF|o&@;=f3Om6;|Pl=}*{=QBV@Q;H6#`~cF$
z*p*^*-a7O<E?G*RG4TyRch!JOSE$(P)}kSN)+l}syZk1LlVHmJjvqD2kxZ7aXw|3S
z4K_>vG(XQyJ*t<etioHPiiXkjAtEcWg&AYGAjk)^DGo%U0qIxBFr?vmAed1if1^(=
zhZZK&_&jD~8TvWLoPfc4aL!?A<DI$i1mOfK1ZhIEkLbO${ZGmm4Wz*lUL?Sd;M9Uy
zAg+P0Mngj~ET;SZ>ta-7oZy1$wJ_BLvAqrzFD$8vWU=miCMburw3HJm;7m9zuDOL0
zld54k#rCeoxWWgrzUah9oD`@Q=Z_YInX@mD<$VcMtpK2@=~q3nbPS0yb&GP8fAeTx
z`3ob7c%_EVho;|n3++GohiV<RR0GS!<vXBG15*Y)PZY?j915mS<+~NSE+3sGuE`A7
zoNqF#ehUDb&kKnqkAL5wANMivF&d)+Tvj$AVc0N`rlP}@pBufP>IaH5UGws@k?%XP
zOwABkrQIjf(^W$%zN(hfhO7^nEoI~F(REO->dde$b&}W~Dso!U&CS=abhI1cq*4W>
zm}HcJVz2<e)Q5oeN|Ze08xkg+Xec~YGtx^bB=5V>%O#^|s9>FGwrh52Su5JOx%V5c
zy7qS*+zNJU3q`(fl8ReeT1s1PRK|VZSw19d``A`3d$%rnGig-+UhR9%8w9RQy$-Lt
z=a4v`Dd+`7ZOU{fk^R_faTuh+k?b?}{J1xBOL??w4lvnJK1{xGSpSj|iAg`$7}j&i
zSM?t#GTtbC{^-<Uc0F3=ew0PwxRvI!x1i)4tS+Pbw*5$nw=ghB&L2s&qB4!CQ+EzJ
zQe&B)oS(S|7HqZ`e=urhExM7mSJdt8y*w+_;;DJ(J8%X-&8Lh3A3wM~c0~OyLyL77
zB3xs1O8&j&(V~J#8LUaX>krmEa4`h87}TB7$wTIH$VegEU6>dox6`WGVtXGoRjWrF
zi6!+^GF!~InbT|bf05LyHtzHHytG!$1SDi+%MGAFU2_XBYEX!ShX6PcCKyT4SU5me
z+C6WkI4c}Z8OC^6Kxzxn`fim(AmcK+A=WfBINKctRSQ~)cwqeqWGZhMn@nkNMcjF3
z#0z~I_3vtoDXlYs{B81Z^}88fFy6whAGk_r)sy|f8`0{)ZuCGIV67%ZBuB!BHnHc#
zX?^CfH@mAwFN!v^Y4UO)K-1o?8vNG*EM#S6MtgkzlCxhYhlw=<k}h$Kt+#~r3WBFR
zn;1x8ZV36Uq^WP0p4rgf=dpf~1-GkWQ2s}!8zpp#8{@!_PTc&rJqe2hHjx|TcbyXB
zpO5#A7t~yH;)H;of0(3Jri$~^>pgmkZan%-D;YOi7Q%@C<Em(R6Q%Od&BMyeUjxoO
z!x@3!FQph;$^LXdCblhlUAnH}IUdec2#yawycPS%UlhtSll4I%kfOOo%jzvTg07|Y
zirLBczavAWNMPFqIXXTDgf;uK&C+Zx@j*Yv4XLnI!@4~|)hf_u%}3LWZp8ab96lZ;
zSsrg=TzJ4^U^FTes1ff?Ft<0(A4@1X0nPgISmY1i7>&;U1YvrjYyp_z<Skx3U7Ri!
z@Z=73fxOIT_YU}m0CfK)1mrS59?^J92=ODsJh>DM@x%EIrT()=G8?ecWlvtah;{)i
zxJd%%#i6&-`R3Y_Z8n+qa~|8-Y7bFrmh^81P;dwZ&jN*(l*?wvGWg=5cPC#E@g_1L
zIr|O2Xo!-zXOjGq4Y||JE7rZJpr9jB8T8b{@7UJl<T4Ht5i@B@ac{$E&^rdXYN}^G
z-07LNdM%}&{kG!CJ<dKC@oIp_Y^IOzO)E9QmsGzN|E*nqDasZ8EWwmxWh<jaDLKI+
z81lc&?D`15TE2zYkxG%1RnybK5b~1*Bw2CvO4`I2apNGy4dW{kl+Ru-<yO8i{xPNL
ze!XbA-sKn-TB-mq=0rI>&chNpumv7i3YPB{<3k>2e~(Jdljb<OAgHZr?X<|_e6H6=
zi(B{4A0Uy45>7yO7Yw(C&)k~5mbqzn0%RgMV^LJGO}i09hc|{@l%UAKJ*Msa2|MR9
z7>-Qd)9?9rfIq<3_*-G2A|phFL3ZH5NZK@Y=T|O`Bf9lN!_|~n!U9M*VjKn#zSR@t
zVTY4ckxztTIs#o}ho@uv@14Ce0#}lvV8|suM%5g^gjl^*t6-Bg@%*{cNs%p6T|=Yj
z{3q*lHzVQ$a}43{j>b~f7z>A#G-P>iP92s(FB@a6s%$>TT{r4aX+_n(g*%C%!eVgP
z$A`Z#g}JZ8_#}B2|N7XBUy|4L#L*LOiKru;ONrnkBBD?Ctx;-gYcIA#WjB@V^<&?b
zU(M*Nt{Z(hy?;ZKSFE8?oT{ScUeP+u|4Ol3$n{``PHg5G?|Koy0QE2Ui(B3xQ!=rH
zZRO$%&++6P%@`p|_nQ6qBe5m!TQ)~(DW00<s$}nUw1f}>7)TP!&HY1S;%f+!|8EdI
z<Y_OMDp!O~g9VbYzKt%^Cx7YoM>r(_d7G}C_qudD9OHtQ_nlAo&okMl`1koFnL&QO
z0?JoLa1ir%3|SKv;{46j3T<~ImplQ=2WMvh=^8O$G#=cB)6esxD11x@M^A^_%HX&S
ziMCwRv1R0z?dm<$YXJRnZR+~^+D))>)&kf&Xv6bp@r(j1^~&H75fwZOQU3%Sxxyc6
zlMh|~8%1`b+X4MG9!Qu<&$onEZPgN7Z`<Z-E2YqFFeQ9Wk|j?rDq<i)gS-!VB~t{?
zv63UBlnW0fBq(oAu{@E7o%L7<LW>ziAfPVbCDCmWX#dG*yQrXKf-oK`T+{Z&eU+QP
z5=tn2mSHFC2j79LRkS5|*fgz1)hz{aHH*c-E71yj|4X_HPd08F^&isB%?&!}gycTg
z#Qq@qAT?5ZcsI<r(VqfFTSV?xAm0zHRlI!~jz*&C38i_bX{DRq#;f~hK7ZIkeYS?+
z<F$n=r8R9|IqlBn7~)4R!r9}+Amub$;zXP_bhfk{zHB3j4>8Vyny0Dlx@SRwd5#CK
zo+0dB>b6-%=d=s{w+JFHBu07Zd;FUaChqrsJE@71us-F5u>1MvXD?sjVtR9?nc3Qo
zA9qx58o$$1aG(zh`GWUx{s?X<6Xn|dfm2bEI&kL($*6z2oQx9^p-B^<rBB0Pf(-Gn
zxXihp9tsk(kzX~|hp?KScdY!XUgKy*yG=NV=RD;6JbS>VzW<nLWxUhmS4G)4fCNF4
zv;G{Eg6hc`PG-E_k3(cpSn&kQcsJrepRjK3`EzShRUC!bMa!K7M?98ta3wr=?X>4(
z{5G{fuC4P?t|<DqGDJHCg!Ymn{+_UNwu7wq-X7N06@No1r9;0{IAm**mkJ_~zEwp;
zr?52@1TnjFg|f*}@IYY#m-jVHt^Mwtqr|a&V;nlhZ~$dP38O{n_32zcy@_69C<LM&
zjnAJ!S`r^kp_gSbC%7Xu&XC66-K@0sw|bNPUXKzqgA+J3*<pk(QgoZ0h>dbL4XpP>
z?9n5f|GlM$*|yPJ@HZuNFvF3b9g;7Q`<~%UWuBrUD=B&K&e&@JS()tA(}<CS#5;+t
z&N9i43#He(0dSo6hcpJFw5Qz~J}kqX&5HivQN#;=!>ofBDWQa;8r9cv$^!<@#g1Nd
ztun}cf$m$vJjh#zMf0_VgJ!{LuM_yjJvt;ISnUKq@w4&sm&KEz{lRI_DOpjy(4zSZ
z!EwC0z_Paf!^>b+a_9I|IcQ4Mo!y6QzQpWt_pGo_gQB~7qy06OKYA)Jb@;Q#9!lcT
zVc9es^wFuCnAv#-=9iAI4`1Hq(Sl?tTe;74%lLy9e8`im5aDl)E;b-p3EXQojl+D|
za@0KWmMyA1M#Fd1pUC6gvlt3-nO%`_+v+~bES`G@|6U%^LN59<vC;dF5r#Uat?*{#
z<FPoPDtlNShEz0w<4iiP>oE~AJ&EP?<mB3;9gI+Dn3L23<V>g_#4p{CF(85;lkhM<
z(clLgXeJHWJBTeVxWPa$y0R*5cN_XF#krf+XN)SBmETRdMPTHz%OV~O!+v$oDrT4B
zM5q0bgXc1Nh|Uf>TD+%P^q@%|=#25>#-Y0_$fkp8ykLP=^OOFkSL-m@m$-1ykC2>=
zucx(jJF{e;nZ*R_*xx6yQ{zFpVvF^~x!T?$B3!_|K0i7mTt(Xx(ODQ+nXj{V3hrHT
z&UQIT$m&q8DvTBv)VG4w=<w265MnK{uS}y9%sV!%(^SI2(jAVRH@~O%B>44X1p`Cy
zBWjwc{q(sxlU_}itE~2qv8(%s`~Vzrn0xhuuVi^(vp@YI7{_jS62@<~b+9iTz8lmD
zWu&nfdDHt5^J_c{-e2<%hd1|-(=<=V1XB=YuUP-|&%<=d>#ysAXha&tEI}Xfh#K1P
ztlM7gYJG5;R1JuBb;@h%>H?&G272oPNyrBevtx>KowSPV^RXL`_Qs*4a>ij`veC`f
zY2dQ9pdW{dE6F)ywNm3u5Y|_irWlOWHf`sI2CoS^^iwP)KWYqpWrgbyh&5tKh~Rj!
z;`k_--Jm<)XF?s%I9yLBPH(jQ@%V^~U@gxmDzv;oXr>_EQ7`Cn-K`OuMgc6&aDGO1
zGmO=V&D0HZ0_xzQAk8~z_}B{PaG&K<1^YZrzDz2nY5SfFQ8|71I4s|7<Y@dckqlIp
zKKqrCbnwtwFRK?(k}BlMzhk$7hf9HAvFmf`&D+C(6z{FxZN-p1JaRQh>H$JQIi89M
ztzvVnBr1qoRx<Q1a*&~@lKv_xYEY?*NpU7H6l1}Q|BbdGh@j?oE~R}1v0IB*FUvTE
zkd9vl`F#eOm7lRvE>T?xlb@3f{;vi2m*P>ShX?`GJ);Ww=|4<IoyHaI-uEs(H=e{T
zQR;ysSY2L!o=_WnrA}wHvIX5Q&Ry-tws;k8&V><W(KB^;VIjQwh1eL*rC+~ayj6q=
z_s2PZrz#ssm{MKcwi|~#I#C){D?Rgm;<_MP;$Qcz$x8<Y`nNy)T4nfy4S2H$=CtxN
z5W{14Dy1@Q9V=Sij#pM7h}g-NEMB80Y^Cn8b20UqQ)*X-#%N-o=nQEGBUrndeZBvl
zyb|>pjTfIpW}jWfWauVJtjYl;iACsw5v>;^iKRFI`r3X-a@fwUV6Ck2Ov{r(IlWJ2
z9le(|d+1)=i9CfQItaxnMdP!KrfRWeMPp-Q@wECo*ivm^m384Pu&kKf^C^EJ3*ZSa
zn*8Fr0|o;S(*gjt|D(g0sVKdek)Hf{8Ez4tvJ%dm)>r1;1KRi4eiswFz1qv-Y{b!J
zR!>9TCLLbxwx>V8qFJnvDv1~t=@Zz%|9s?Mv4Bs@SBZ)aSyzm39a!Qp9TSYR$!VC=
z;^_BU|GYg8N<sZ@-@)fceE;SiWHZ(C1!7sWD20x&(L|ug%>>)vh}#-4|5;npE5wqQ
zf0i0(9lqeCv54r?7<=eZT%7So6;GL7vCVGEVnwzirI~7u#j^=Xr~MkQPjyL$x0yTt
zM;|S+Hq2Q{mHqWrrJhY%Qi>-(GYkZ>Gjd72A*O&~Z)wSZ<gZsXZ_~Km1LcAK12r_j
zHAb*O2@w*C%vrw$V&XQ`MG1_B^0X(R)<-lmH8UE^p`P4wFVEPM9q34z3&TJxTr3?P
zME}izLWX;!-;A@Antx7<EYPvC%o9Rd=rnfxovFS&ysdg@eT+=KZNDKZZjE8RmEJ)_
zEb;4vQpNq<ZXu_9>h2r|#Lw@MH)D4?4jOOvUF;=+XSJ8S?m3hU6BF}yKtV8#AAEEL
z&U5d49DRD<*1mE5f-jg@5NN1H5*Rr}8i(t^^?i~1;a0n6W5XZ|>RhRKr}Aj0Z(}!`
z`13g64fPqoka-v~F91We*W=OS+P7dg#V^E;?+GNEOqWr43?qnUJ(0<PR}&_>_Kdu2
z{^pyg<?5JCl~|!I2iGDMb*)vJ;TBpwbD(shQfILRTF#=`r<1JL=4lRGJCLqI33M33
zOA+{pZyp_7c;%TO!4K3$%SzyL<i{%*`!@P3KhGSEoX51_buhkdL0-Jk@u$05mI+B7
zsGhl?EQ*^SKOcAaX5TI3Oo}1Kqy5BP&thjp#;<Kd@7;$F<#w<TuW?H}XQT;>hChED
zw~k3hI2My+^6CP^&e>_~b}st+UqE%}oG*d9`T;I%=6B&h26Yx5->Q-3^$PGnm8B2j
zIr<^t2)~37mW!i>CbA&Iu-1lZ1Pw=eUhO;n5l@I(XE4+zr=3jtWv(26*nE!QKDKDm
z%;ZGx<VmF{JAl14nzVlCp5^;k46X-J^epyEPV4Pu#o7MJ4{v(?7K1;+;hr3IR3Ezo
zUU~Ts5Pty_aP)ssAfXFZ+<+U8`*j!Lxs`{*g?+SsWpo5S9Oa>hhlk!p7(pxRxr^mY
z1!$^imU~$oW!V=#QT7JJLm=KZ;{<xx)jk=Vemu&I0hRugP>k+nf;Eb4uQw*;lv&X`
z6LwV1lqQ24a*7qzNvX|p=`-OuYk#!D(jwXdNYT^XWd~jnxot^}7>jP9n1=jh*6PP{
z>1g82RABg!*|>cG@nib|hBURc$~fY$cRQUA)!4?%S&@(kGfanBUB8NSv7$Wux{2&G
zZM?$@tZKj^-~YtX$=87k-~IF38wQT7S4I)a;i08TNA6hzjay*4(ru8Qmp8&O6jMFa
zFO=5oKm|q_K?ZvnW&fc671p^)RC($n--?{Lu!m>Vk26fMP#MI0@Qww)|C1!#|GIwB
zv@<WkVhdmV6~aXE2%i`g{PmV>i0%!j@3?a(&2Brg-G&i=3iewEsy}rRRpWCP=RrB%
zBEM@`(|%h3Vx5|NjVaR3=g|g<m$+<QT%U$mqq1p#2axgt+5q+D#x=UjkQ62hqXpUP
zm)$w{OF?r9J#q6%|NR1<WfBxU!SxXYeyCU;0Vm0|`N>PJ5&e)^_4d1tS2S}_%TrMN
z$WGT+%b5$v#^=#`Y0s_Ti0Ow3Z1;W9E}icF<FdB0zAoA4(&~M&JxI^-txzED)AEt+
z_qSMoGPt<xX43B;Q~4~9+@Q=;^3jVU_Cb$<H;^tz1V3~Le3PnJkP%R=U|#ZxfdzhN
z{>+zqiBUFED1<1-0X+YCz(N}FZqGA16gr;0j@HX5e*;52L&x|Tt=G=m`&~FW`O?Y?
z=d#dVsKaVDNnuHqN0W*~?=i_r@&!27Lh;~X#NKJ2V8W1##VB@X8<vR}LF^#6tm(a2
zBN>9k5_I8)yo6&9#u++01+jM92NaXmErTztV;e#irbYzzPfqhqyO{=I{nXyM*q-&Y
z-B{HvmY-P6N@Njrv>ib)eP_ChX)eRgYxBV745b%9XS?+w_v&8tFm-{vjfS-$)BDd-
zMBRe9|IYox8jLgB&%97z7SPtzl#Zj6pB{QqG=JFMAhD@sNlv~W_2#!Kw>S{eN|^sT
zcz-v>ixFeII3s7usvXQl0v97TH+oxN4-k)Jywb2kbkSBC;pBrfvENDu?DD9?Wr~_J
z+zn3@>%`9E(vlj<g9sogyF5keEM3!}r?j-RwB6uRQ^yH5NYufA|LWYb_eDy$s)Y`Q
zpdZH+fyH{ipzaa-2rko<s1azpOic&yR7O+NMvI{C19h~$tZi=RhK`*8k_*DNE7^lb
zZs}2aDYA)YBE}0}&A17!t*m5>nrNS#w7q|KaZ#ghV#1w0(qjA>M=gO}Dc=4#hS*0%
zRSbgZEPpP?5A_rNa$ykFTQlq$K{rPJ!!8#TFGL|2hTt0=t}S2bJnV!PwCGiQqdyDw
zG9MSH=q+@%wIJ-d*lA>yQco&mD;gW6I9_BhtmNzQdhh$M5K*A-9K4#J?U}RX{I`n~
z)oRS>J-*BHjlbO~U;X|ThvFFBSxR=Ck%_6$d<gBc9&)YB3VZ)1Zx$In)Zfag{bV&S
zO9MT5ouUx%IX)#CykE&1rQ^B?;}k~<5|gAh>Uv?Q`n5XA8rOLwg#E2zTzcIV6mUA<
zMg}Lu+3TstJA1qS&d#W2Cgb<0*0UC-)thHVA**m~50F)vQ^xz*#vSBQlwWg=V_);Q
z5{6Av>Z!^^AxqcG8nJadQ=+0iH4{}F-$uQ+kwWO4M_c;EaduPzX~TUDT(04HDWfJX
z?#-pP=)Kig%a?b8!?mHy*pElI$Kp9$wrVjc&^s$`;IfG_qANsrA3z&iE}vh*+y0@L
zoNH@L!%*!ug025Hs#LqjrB1T~p0?0tz2n&Bv&NLUu5FMD!BT466`WT3naKtog=!8-
z6JbRyii}~ikr6g!KLfBS+eQs+amoY!ZY-O80D~JAY9+fL<M4$bz`0-i{uxR7&VubX
z(v7oQ(|wO_KeKL2{oaet=OSM53us4A00@huY|mq&>LkU(bqoZ7B@C(R=~qhADW?u)
zvI(0B!%fYk`@N8^g;-8P;%Y(J3*U$2m*I%U1R)i{fRA9y$UpTeYRU+-o=g3PUvE`G
z+}%qGOWu;y&gO-1zOPqxV>Fb5Eh<Gf$y)DLuN;ZC!}(jr?`M5Ro)N;fIeS>%UhK5p
z*ba5JLh;SivMSpXs5-zqS}HJh&P7GH1HK7Bqz&#hc<^}``&YEn?;yY3Mb3hdJ@~$Y
zwoq@$7v{C>%68YflK7$%Q{ks}JxQ^X%UoC5#Bx(MJg2=sHJX@O@Gq2QjGRttYZ(P9
zh43TY$(-xHW1W_*Zu2%xxLHhQnRffT(mwcnrgK&~baF|lEmB0FFq+^HoDi`cO|NkK
z*--v6y3p~-_4})WpYbyS5K@0(b$)1uXS+lSz%Pr<u$*2Sa<GeRKrX*9^UqO+MAflf
z3JTd~%*sh>+1lFDNMq3v{pIU|+fk!hNH#7BL_(!hQvY-R;M3`F0`CXl+5#&R?n7?H
z2Ch{2QDPC1w?mb@9LC2kJ|9i%f@NjCG3re9p3=;%r)F|&$!8l8?YjOeCSu+Av>F*S
z9gaX}iRl36HKaAQ&vqK+&U2GQR86)V^SkES6NWTu3$#Z#;`V?Bnons51~|+tERD;@
z)5VG;1&x<(`KT&lIHI>5PZN10*juVx+q13yq;6lRIt|}v_dX^jB?~=bk-LcTt#`5?
z-fZz!PK}<>Ir}DL)wmiZakEK_T@nZ`bKesaAY{Fc3_JOv@C*B?Oon{;^55U9Lytp5
zri?57f_Dn|ulMe$zwO)g@ZVo#NQ&#%#UF^<$THbkv@vMTv%ElRhHT;_&)JM4wl?Si
zcTu<~Z};y(p|{;g*HsHUI{@*2udaYFy@h;*Vm><@(Obh7(5-*RRDq}os&wt2DvIx%
zLBQg(AzA23Md&L2eezQ-BmBQ7Ct}8V+F!Nh7O<a_j7y7!KN^}(fV5ZD;F4$<EP|;Q
z4e&z2YK4E_A<3wHN}NX{#DXQqbl(Q$^d<sm?Pv<O=d@p{=hJ!^-^T4#v!al2mhwr!
zWj26KA{Z=?3|x^L7Ekk4vFOU`sT~u>Oymkh6)n!>3>pwi<f_>3581Ohj1g5Nb@e*H
zX}-Y5JG3$I{uZbX5J#7goC`<rGp?WKg3)Yqr#E50*6LbjLI&UGa+pPM$<Hf&m)ODZ
z?vF9gy)b)$Mq{z!f9>_YYW}d}R8r(i{RWlm$Yc#2rV1faVS-Ev<FFgufK5T$R1UML
zF~i|PSBh3x@Jp(39_HD@tDj%Yo*(T{x6QsVle#<LTF_@tMEaeJJ<`ymbt%claQYfm
zynND3PznCg?9;2oi9?A8l$vmwj?xBVlo$Vg|9s8T`FW0xWS&&Ju!Mqp^O&rj3;yNd
zO#HpP4Mhc?sPdfD=(M?m*Y66fOn=gpGAU>NS#RFI34-I64QYd(@vss;Wj5FY4}n}n
zq5k4bj@3slYAe6U6*HlAdAr3bWj1J)3b~7OAtm!Px<CFrYPnw;xbV~eIk{6*G=2(h
zW9{J%w1&4*Dha!LdwP0vpK(d==)+5Ra&$DY_6;Vjg%v4AfX&rGwvz_%TN(wle3@50
zYu<+bwY(U#Z!I@BjO2Zv#iqnpN_Z9ft|bzzeP|9hhA@BsdU*v7bkNqlKU`(fohO_b
z5g}VhXhc@4>r#3VCq3uO9iA5%iAvT7ATl7}z;@kYPg8r{X`9u|96uTN#IuZ`z{x!x
z1=fRk`D$$T80l+Zs;Sx^I_r<MqjQHY3pI!^INYWdOR#FPHTK13I^kGeBU+!a19pb{
z@hY4%4+o}?VDtwW`tQ}JXtf0Ez<jX!ci4XqY=)z;=E2n1h}W1(y;+w=J$w{It1{BB
zB;$(%8UbuLp(7d*DXHJa5=E7D3r7|PoUtqkECh#=_d*Llz-tyK6Z10Tv*ip}+hw1{
zr30-dvjjwV1rru4$9U+V>@HEE_;Rat8zgNM(J3|wMOYPRjul^Wnl7fG6ZlLcq4o^w
z<aLS3Lvp4zATdxr&9kn$TyAH1bT~Y2_IXM5@m5)JrBC91vxw4k0QZ>%1$J1DPNPi6
z-$@3l44K_t*~fAQn+2%O6}d|aO{HF|chq$K@@DEBAT*KMA)2lm-kzrE^%!40%FAUD
zNu*d~%{*#Zt5FZF8^;ez)Fw&tiVG@w8?%SbdRwbDuI}#cHUB#Fy9LsCqn_bj>n+a1
zM{QkSwQ9G2D^s}YtYY2LJY~~o-b?oL@eoHN26Q{|SM+D+(MmaP)eX#Vs4y^zJX|3s
zG7SIuLF=j-d2yb$yg!-aVUB<8Ky%tMTXH=3{VL0hHU=UrFoM%0I7lzc4XvLWYqq#+
z@gsnI`YAKFG-<|}KKdd+gsrLZXot#{xYSPUFbV>}^Mm^`=4N8TXZ{7lnciUKx3Ts_
zXa%%L;^U9i-+>+Sp;EJ4agaK_wGpwhE`92I7|ahL45!u-lb}+FnsLs8f>73@-$T+u
z*5T?Dlg;t2=z4@bp82#OKW~++rQNlVX*k6)s?y2u%fB9b_f6l5sw#C`e6)~&?wkW5
zWduh4OoiEsW0CR6`Iq?`u)MqC19+ahsirm_dOlD0H><Uzqp^4|UTM#)gl;vh+VBuW
z4*kecKCOOI?sG>hBFfShE)1rcMSrN98sWdLHg!ctVtggxvRAQw!_4Xz)l#J~YQNIW
z#lDlaWc6`VTGLN`8}Ua+?bggfJ$k)X(xT<~8=9qnkjNKs*V|~d#02neluiFt6Ub2-
zNViXP+wNJE(wa%3d-p#1lSsW2|1C%>j`YNort32~`CiYZ@ulC7ou>HoHW1dqH7oAP
zsO1=-r0l4feeH8#yDTR;Si&kN`t=S{I|7fxK5)OoPGbP~p$7&6J46X?>r!C+utd;I
zikuB?a-33A-GhgGp>r*y2Z@vY{r%C>cI^FNQ%MmB;)i)?=EcZVqz2ZiH@M!71G|Sw
z<=djv{WU3KN((F;5!L=|X!9>Y(b}(kdQQS4sZ#3#ZRwYC9zE{3cz!TNcT@V#+Uv<M
zJgCP_T>UFqdPZGFYn(bHL+{QA;ZCCA?7DCoVPN90(I5#PA30dQOzaYo_3;w@)chun
zgc67W5;FKRsV#c&Z@MV<WwaBF%~J;b`Ecx}GQfKY%KWNEu^*rYbHx?G&}p(WC{_b0
z#Q7m_F>99h%gf9ExmpB&%WJaV>UR@Fqvq)@IS?+?S;Y3{OVtgH#Hm7~NLz5x4A~h@
z{N+V%tl9JUn&Bh%4_ZFuQ}nULlB`vgwqU&RL~QE1Irf2=j7_f8NJ$y@EX2itGDcyP
z{EpE}RurK52FZUF4b{E~iD*t)4C#onROeAGrz(@Iz5cTtYL*MRbuLI;(U^iWk&ub=
zV}n}0-OTSRR)@NF!7zke&^o`Uu!X3QwduSD`d$#9=F<8grMIxLL3Z?6^9njJD*y?U
z%YHSLey@%e@SFydaY-~bFc-xT!0%Vudf(q4oG_&Yro*fBifbPjVmWIv7F>LqYn@R2
z!LD#z;%PCE25BkvQvdGay#5<0QkKu({Qw(R_EfV9BENBsMm=yD3=E%#=YjN@O>j#I
zEz?^Pa+1F!?Ow%o2^wuNag|=h)+e&nJ`)w73gRn^-XVYz{p`W<bQaLzXk~H~?vV^8
zTj+UtGDA<iHayCGcrD(q=N+;2qcpLvY`fNC7~7XGR0<wsX!yHw_NOdbsg1hzvX;+U
ze9Qjh-xve7kvB#at4m8DUdKW~&A!9E<lyzci;ZvGQ_K#>n#sl^vFSDD@lIxWUE-Lt
zHi0a3YOsFBFECTK;44oEYAo@}f+ruRyef=aYRrv!u|?sjBXruoGF|B6f6+nyNQ;b)
zda3<*adFYz{nZhT3r-@Mn@KWe#Ih!8u4RbKxBVN4Z2&ZUcQgoC)Dc9IlwPqx{{hLi
zX434<fv2bE%gCg|VVJ<IYx@xh2I@Df$ktgLEK5QRWrfka4@sL^`Q@E+jbXwjYYV8|
zu0L3!2$}~e@f2Rj;MB3A=VL%jjQRUuzA23+Kd_gFEfFdsa>sL2^5T6-;~U4y7n3h-
zrmmCo2LhvmE02G;o$0Ie;u5jgqMtf$u)e4>{mf(gIcUXQR{H|dmB-P1-snx%XW#n|
z%$M5o&jnAxzp_7tak!K?NeSn{wLk!qh>%dH(?>U|l1F~3z8AycD_WBf>!ofhd&8}R
zmUdZlr~qt+Cfm$cT_0PJRFF0LDE5kml%&z@-(Cnm;#j=_d)oQe`eUm%5JNfY%@N{1
zY1;(!=Y$A7_LTCQ+%_Zb!!#|9P=zF8uo>^YRM4<U##x*QJM&nyNH<s}%%J~_S%BUa
z|6-osgyfe+NRZhN|KGF;`;Nc;<BeW4Nm9X9hiv_Lu@UojmrS{A<-lb;6KvYU*d`XO
z`Z1RNDNTQbgr=aSj+Q049lPXDf`IbFtI~r~k9MDeLNLSz^D)j_A(|e|F5>NYQ-u|w
zTOqnOTUS?CAdLjS7d+sySX9aLj%VUoWV2mMQ9#D-zyS2%ptNC*k0#JfhYu{Z7does
zHGgqJ%>I<-)Wd34)3Q!it~%0k<-+8OBpIgq@msuwAXVE)5CqVjUhB`punUX9lXm}t
zaEew**y(Ra=B*|pNUHO5&-vU<TvrXLq%YGbia6517)(mrbPM1>SJu|n?06~jwCn!q
zyn~0(?SQ`@ol8Zx`Zp>#&RzM$oWLC9jZ3!c%A$t00Y)sH4@J92R+h|k0^wJ~DQSJ2
zB@Zd3JqxOFCQY%KHmiM`s7rrnpfH5k{qP`xbddKlV|_GPg(a+dZDKTP|Bl-Xk!Z|)
zr_a;Up`AbSa#R*%aWYxI1=(wM{L<7ILLNU>!dh%%s<nUaO0=Ad!Pr&+*$>Enh;{1&
zyfJ|AiWXd3M^VB7`{_liU3?+h4|?GgSKs=UCMZ69MQ#r}g?2brh723=jVzlRe|8O|
zeOIp$DmR!1d^7n-O;{8zP2)cfjS0nIF!7C$q><m9-P|u)$n)&_yn=A>9WVIIGe+Ki
zy|m(*6%`}J3G?l+F9E;{k9YkVO|RGFDr4;>@TT@g<%rTobGQOH3%^)U&((DyVK@j_
z7G`EHy0~GyBJ+{Uf(66W+c45VH^ZkNB)H^DYik|8PaQ&TB?d1n50Zr0X;F|!`K22R
zSzRB#aR{f&2jM^<!^xO6^T(Byl^xx&g$dPO%?rLSA(Zc0JaiK0kmE6J<Ax4&kewh@
zlVe=x^<<SgGe1)|HH2A%iz5Fr@bc7Y3up~2?v}7xeuITLbTgKWAixwj3!J3DeZvYR
zB!jUy<9BiOj|+`L7X6@uMCU$g#$sUIpCCyE!}}Z8c<hk0#}88r2%xZMJ-M<x^`jG>
zDBR2(0oouT&T-A6fjGPM4Opay3A$~_rJNZJgr)GkQK%wm;|;t4t<cWS4w2{G*kd9U
zi{(qINsG;}b2KNh;birs<j+-CT@*Wi21<I?YbLP5kW4<RlfIkalYo3|G$Ms19fgI!
zf5{q#-z%Cf*}F?%O1ud+WJ=r#y`mZy;B=W|8!Oe}AHPhad{N7T+Uwx3)h)^V8N>z9
zC}g<B2$8@yZ-rf@S4H|^blc#Au~X2D=9xktpX>egG2^h!nCzQbU5*xszM+iKsnU4+
z&UIhe_h#&=^~=@}UixLh&1bLov)KapSsgp?(mOS+LFRVv##w*l+snIu=uc<pPXN`%
zBtQM_4U5kvb~f)4^p*-Rb3Wez0PCNJQ(s^9RA4)hO=f=BWO>}IdRVFoGPv!Ze{}V|
zasB*n^G&wz;~l4ba#E7d3DoE0#^>~g8C>;Vjme*V?#ezt95e#B6-c2VCM29Wyn05F
zJew@4{tZ<LI&|evgP<_qzs0`)v3bCd0q_}oFKeQ`k0hInPT9erUUv+vQj&}nmTD7W
z;2@+BnhMmb+3rNW8pd)VlaNAMc0MELj)W=&eL<`c+<G`IdrRjC#n*3e7&uFR&3V6-
zVMZR2JQoSMO4*d&hsmXC-L>trZ|msjXlb#Ckd7;$H@*=Bp&|KMl?_^>H{J?)$yHGn
zh-rya9=Rn!{H2Eyy4-R(DI19}7Zij)DH!V<g_vk*9C`-5;_kM(@Ek#U+}82RqipG5
zq+ENS9Ln^xzD_71q~J;>Q`~r^NU!q;Fm2))#SeZF_Ec5sve)R2cZdr&|D`u-BsM&e
zyBUN@0I8otH~A_B`53<9e>EELVCsXF+Vc69;XtfM@|BDN`N!C7$&p&xaQeH|eJ7w@
zbnUe`NnG}dcB!zvFymJ0Em5%2k8;2Y!(^+??MT%zicn2H+dUoeM?ik0VNI2j$d64u
z3M^1as)GNHkAXoO!|{Rd1%r!c)K!=c*J`l`1H*u)X~%hN`sglL^X<AJ>2Gkc$3bM{
z((d5>AZ#kc?|$`LY?Mc7G9N_w#}T05gHCmC$YD19G-<=Y1Ft$y83ecA`w%-98SgEY
zoBqJVA1HuV2{?j?lY0`io(7N$FbvO4PLtITSL&R=ec8|abS+5FPD-h+UxDE~T!1cd
z{&z+D)yiS&83hER?IcGgRI;_5_&<3=hx*w-9t2ib9rqqGy<hJjx{9!{+*w<!$3@hY
zc*D%X)b9Q+##mETT2d^2uup4+aciY^q*|xEBkzy2=lm<+Ktgd`@@F0S(C<YrNN?d{
znBwF|6%4;%m*0{`JaiSSvyXF6Ad*)f1p_fcX$F|ecD?9qLGy}4Wq_63s#sN5S3ku`
zJ|)pnf^F3s^n>Ksd8yBuD5x<*Y%f~C9_b#C#=uBiUff~_z8Y~WD>A*D(FXO#-WEJi
zjT07sLN*1~@5TUdM;ZclAD@(PSUPSupFK?=8+F`kmqYS?1bX@TZ{g>^{X88o5D@co
z3b<E5xz%yMdiprr`EM9e=(f8!%j4h*Eem@0%#HH}7AizPa1wzv)h>90frs!-2Y{9Q
z+Y)-*0vgD1;^Vs#MehT^Mm50^2bRO}_xDGjy?+M8J|owk{#HHxeYUorQ#@<VE>HiB
zo$^A})YaE}xEW5J{(IldI9p=d@>=fB&4V3n-e+5yCQNo*7CXdMzl89O_m{$;IdDsc
zOu2__l3wIVES9zg*Js&&AbH>`3{TE|^IdC97Sj|}=~v=kEda9w5^3@x^EBgBw*JdD
z+Hh{((}e$P0XA<Z3$H;)2mg`Agx;n-jo=wa3WXmGGOh+)im_tG4Tw}?9OhIB@v>DW
z93Sj+=D+JXxdbd+V3-<R&!!Cz&(oJNE4jARKFJ+zHQ-OyoM+ND9`A>O!LOJYOXolK
zw~p0F|G46r>XH0jBw`Fm;DU6-RH}l5ERxSJMaKNF>j;S`c9Hg2m-x!EDpdkrqYz!D
zoPKRv@M&4J%Hp-(l=7TEyh47%{OMf?O?+6wMR04{`Qj%UNgLSLJu(oxskr*FX23D7
z&oPLQo~~z?yYLo@+9IJpsCn*pP{CPdb6Q9+5Mx5f=(%^Y@wHNfn`iH%3_U*oIuHpy
zVyo+ex+$$lHKjK0M%D9Dtt=5*98V^@QmueaA5B=3`Z~~0*fI3uEm^yTbJB-BrA4|^
zOw2j{29I8&I)0TnOvoqW+wPhNd?TFt{vVo!9Rm88#(-#PAn|?&-xlowy9OV|uL0c<
zKI}Yr2$}(gp_aXlBFZsDIDLqQsx>iR<0~^RSdE!>&QNjOFyIjk_M4tk@Y5+$-ge`8
zZWUAy6*GCoVT1N&r0enZ>@lox=ejL-dVpS)#}74UY=D1?-NIIiql_Oc07uh47{Cq{
z=ad!%ggD=-5NXi3bH{vgAtR}IjJbMkZ!RC@({J(K7K2r|e-P5_w@a8wEe1gxVN;BQ
zr9ZUce`EdAvLn^_Hzph%73OF;#E)kWNjvD?6~pyLZ)KV*nosikOM|=G(|Z8a(8EDt
zaT^d30~gqC`NY7CXV4|wwAs2`aOTF@ul9>4_GdaVc*UZh&Pkr^E7U0Rg#P9W{ROb&
z%V(+;cJ^%_P?tB1+y3i+rjxI00J87%J(r8_{e6j-Ao4%AyZzX_?Zcd{H+b264@!#P
zKi!Q#^Nc}tTJa1?ej3dFH~5SmKb)^pzk`LGm396t0}P>Jp|h{(gb$HV1Hk|O{PSmX
z;^X?$y)TLP9%ko#Yv+9|U^G8FAU)glW{VD(+GtL7aO<vJIr{Mmaiqx4OMjR9Jj6T5
zp^1Kf`TO25oi8fQeJp*Da}Ly$(RY4il0Eq8V+Yb^d4*O?uPkJ?C(D0O^Srq99wGjB
zoO!6bcXJOc#^6?ee7M&-r0>iORhS>M9|Hq;!sm26tULoe=Gi1$D37RiJmr8@%0)p}
z1TTtRmC;|*pFhvt{)OgW0NxDHTF&itz=e~VC>J~y#NcD({M2=RN)YI5Z}$fCRi3Bc
zRlB&@JOt-oJqv6r@&hB6+bknW2#A2k{_=XNVPCdXwW|gJn^Npsq}HLqr`OG!a`rQF
zIlO-<$|{M7;HptlA#}}Rqf%I`qK4tg5(m`vsk=1G#bEmZgb&!o!ySOA_BoX=?30?Q
zk6=wU(q`@AAFZMBuV*F>*3CMV9kF0#->v^UqpTwz6xN{&hgZb=M$e-e*LPZnd9;Ei
zsBABAH@JQnzE5xrPcVvLgvFeUeeqtDuA#YE^L3%nLcNzez#|wN7lK5ls;W2QHSy3^
z<IfB3@TnBleWV9DjvUAGnjEmI#eeqva3}C1g`G2yW0<<5i_tJe<cV@j%OuXl>WeMm
zLInjb1`%vbglQ9QcJ5-v?>#J+JDY|Tqcp~gd*T%56eE%~NYvKqIyyim$VlxPnx=e@
zqx%3c=SYm-sP%}uQmq;10j~IY-|ITHvIcdXHGDzerR?|YE+>b-V7a$$JF{<`I2k>&
zo{{=5JPC|W*4jP)wN5}TcZLJHA(&Tlm&7eu$@4+dk;z&tjA+S20=n%K_?gC5k{L@$
zrr3IL+x|CR$%r2Vsb@!AA^x10lzJq7Ui3`iNDe{76d(N3?p8`N1W~jM@S@~2cmWLS
zZLzsi>#A0T%Y;>txt7+q(66W9+yHpBUvIR}6bde=a!Dy4;oXh%TcjlF7LT4D!&JS1
z9ryNI=k2$HC(Lv7$KU9WkHGeRFk80%cdqgM-^pm$E@YOrvmF-SRJQBqoB_9h8!(?;
z?tECbwc7?S&~x!=jU)aaFZ}V}okf1aMIFfU_y+FE=Rf}Jk_T?!5{rAu_ZP7PibqwC
z2UR{BZ+tesf!cEm_7N1QPtVv13(9iXDxtqjZg0R|`_!a#Fv-*UK6}xMn{J?w$nK-@
zAm04<ijjBNenFooVbCq<qjZ=;<nm@xZ5GtN9AM6M!PFi7xmW}{s-cW2EyuBZT8qZz
zj#HpG2Bj-#i8RNXibhp!UU4Xz^tc}m{s)I*VPXOTL?GLn`~LCrBIelU&XtJ(RyYLa
z1;Xnoccx_mv=B+$0Wbvxht=Qh#GW0hVNASv!@-Kt5hol%5JfxuN%31AnBYAXR!!Lp
zj>n4<OqFjd@Cw5U*Z)GP8g8-o;7-?V_h?|pMD_QhA;*)To>Ab1*AK7Laa*Cmm8KIX
z6F<l`67FKW(b<c&73}4c6dS)3hOyW+A{CBt0^xr{FUg#pI*&cRtTe9$X;oZ%{E&{$
zaIahJdpWloNru8CsL?N?pIQ5M;g|c^-{3b`#A?#kHa67K4n}{&UvhF0LUg9p-N?e2
z6OG-0bd|?<{aNIzQ0yRumXfJiL`n+DnKyHLF-B(b=Ov!eQS2w8imM9k#y@kHWOddo
z=y-hoi+e&LOUqR3{pFRFdQEm;*?vU2`4ZIY6Npgbv$Bk^5*H=ZG)dnO*{Pv^4#gM4
zuE7!6T`ch|Z;MCTU5hjJgy2GgsrhGef1%GG|M(RDYcyp#$c)g92FhsC=1cAg*71(N
zt)-OZ>{DfG9^cdL{Qc_zFwk0vA~CT<mp-cz7To)Ly81})#EH6|cBJz(Vc^TW03zrA
z(R7w!RX$%AK6IBN-5?>|DJ9+A-Q8V+Gy;N@G=hM1gEUCjp`=^7rAy%*e*fz|AN4YL
z&dfZs_g?E>WS!syb`~Nl)>>sDVl*OSk3(+Wjugn!$*pQXje85bZVJ!O*|xJkU_6!`
zyglMPH4+yEwqNGT-Fs@Mw9s-WcLJj<8RnC_N({}sj_HXwTZ!8huObO<q+_5+UhEeW
z6}G&jo$HMD_wR(-smBQ}t=()fob^p!qfl)^tlI)9lm&2W1h=wM`Z+0>|FEATupIJD
z?a30JEbUCd|2SXe#pKn17jrq^l7)QF-*VoO!)NkYQX6Z@{SM;o38;JRe*KI76RjNZ
z`&I<!4D7(JnKEtXl@?9MyU6#qNRZogBoQBj_D;eMz<_x%34#Q^QeOr2KEIQ|p0WqG
zQtx<pAxN_2GuP$f8MX?FELB`cLJ<Q*=;`mpC-T3~$piQ!@}KJdx0~=5wcp?9+1oR-
z*G{>-MvxJwa+A<F&w``NhkIX)(C)Qh=w?qOXZsJ?KJo{zxw=FLrIJ?j*(at?+D13L
zpS3*-s=ua>?-nw=<i%0D98PI>pc|qV<r5N$-TV?I#r6G+@2hM74mW;Uxr&Ypwt;-^
z-5aQLF>k)92FmU5_=S|8=Rq81uhCDbE{evn4x@_0h<Cgwh`}b!vcD|2h}wN&lqH@-
z{7+v{%Yq;>k#T;y6GGpr(Uz<Bdk!yuA=W>EXk9OeeL(Xm_;o@86O-<FDgqh}6J=PN
z$;K;K>VyPKHUiT+apVvtJSN0j;jU|i@ymZ|0QFZoEN@}83<ZiZRdx00mFbi88s9U8
zN57fG=Z|jU?tAFP-=|pi0e3y8B|U!!Gb9M5)a>Huw|AaCCf8A_4LbiOS3g?nlIia`
za<KsWmE2p7o3T;8^vpq7mMJyd#Hh_$RqcwbVlZ;*55ic;O1p?Z;9V|q*r5!=Y%#*~
z;j!`01_y9`J-`m+UN|*0HfrILlVe8OmAYrzNwbf@l5+g^>{R996g7ze|3Yh}AlauR
znr7}!7D4{A0$WlzRBB&)kAE-P*oflr93#>20(|&BE5HjM#6B>Tp=G%6m884Idt$&2
z3dCQ`i(f*a@r(CL^2x<*xWR8~4DoCG?%KQUBX7-~XB>ZkU@lI|+`pB5tu>XbIR);r
za>rrt+_fn5@Gn9xDq<tV_-m+=ikiciu+ZeY%HVhNN*~k132}~xAaxu3{&U@Cqgf<&
zl%w`M(Y2>57)Els=7i+eR|O?|P)SCMVJdt`8jE3R5D6)`-&vu?8#xpka#BDOW%Ate
z2HDD&WX0M`#ny+6s^27D!kFpddLzwYV+SKc?zKq=_(1~Y&CDt&4<<SVmftrVCx2?_
zwl{mXt^FW0F0Ff&7Os$eQ*@+Au0ejq;9TiGk%Vh+diA2vvU!6g#gkJi7`^9(5IGkt
zp&4m=+8^kk;Z;M&7)#T<j%@`q&B;0XA)chMb2xpVRsAMKO%^Yz5qbByf(KJ#o{Wdl
z@2p$_&jX8rha1bUtM~yBzI&pj0mhVgiVscR>W{n^U(!h+8aR>zk}%F~XNV9Dgg>V-
z+QxyeAmBiGc&^22BCl_5U`*`o4}G4CzRtgkpveNtz@z~%4O4asIP1e-JH87b0F6p4
zjx6`_3!R^;>~2gD`ob6dlmk@x(m50Z9EXS45T-i#Z{;3c+0|c9kwVb5+pgZW2JVec
zG>A9HyG0zBa9My+rnB=Y(4q|ly^#HEQ{iZ$koSyZqIDyw{;uiOpveGr9}Qlwo;Mzv
zBQ&RgU?AdNf6w?v7e|ZpZb+UI{)a^&bIeaY`&fQHz8`PfRU0qNvXW|oMP=04hkU(w
zItkL^nlo*R;87qxr4K8DAyGg+)3)G{V!6>$*?@;rR(n^H5ms(x@LG_Na(U3`Ww?Kh
ztEHo(qpxo>XqNZYOxid&IvxuJY+0;Q9+6837SacsK&`%iLF&-=3;rhRU%6%~PrCBa
zA)70@WKIH$S#YgICk`Q(ggR*LlaIN1sJl_>w#2832?&J6Mmyyy_KW04A$*+y@aFro
z(IYsdIP)fc#vg&bETb=bV~heB4>qX#0~S{0AxA$4qgMN+>BQ>S5hnk3rHf(R6<B58
ze=3*iP2|^5VZ6J_h8(40SjXJgb-G?{<r)p$RX!)PtM&z2WooV~PEC_GvD#Xtcqiua
zb(fDuTYaz3valfp;z?zLP_?0(+j|a1<%5<)%om$?+_~Q_s-uYWtAm+kVCjS5=925W
zV5Piv%qG?KKec_lY5zpOBd^+OXYBpag0;;8f{BS4Ki3~hLBOA_S3{Z}jm1wV4?$hV
z6<-euE`rvcJreI99GLU&4kNM1zM!g|J(w*#Kx%S(1;%gVoC;VUKyoI{pWp4Fr#a_S
zn*`0vG18WbH^Q^~9y#s^K^*B_>x(h(IlTWxA;!J5k$2-_57A1T=%UiURk>ABswvV<
zV2>|?KS6<n%r+pn2W)#H{^DJbc$viH@Wr(1$EJFv<d`X~gnoiDm4l!pFK%?a+UBpc
zaZukX71#aI)cr%*dlM+JRr^cgPcH{LBbtOyW8wo=3LWWsDe;l(SM?dAM>4x#bV(?X
zw)=y!l+W)!GYN9AEG#WOfMV)x=Gb#;OaKU;>h#!GBN@oLc=lQRaM>u?MnT(bDX#s|
z6VwHMPU7wDrMg2)&N`chSs788<tSiYS$yPif~A0bwfq22NA_pJb7cbF@Cf4wv!OwB
zN8x9Q0#nB4v|yL-f3w?71hNr9G;GIVi`sB&l73NPUQB=D%TITt3yccv=CYI=vV|M{
zO=2Y%jVB?Lm}bMYktbw0_dMTK+sbF<>D4%`n?(`-SPcl{q^l%WXSvI3B@~Fl28&gE
zaX5gMEco_m(%b*Rj20fJh@m2(WDVQ(PoY%dX3IVZYhKnQb1e&(lF;YfnmQiB7{6dK
zYV&ck-2=lT&G091f^jII(ZC0DK=q1<zu08Z<y;DlFWDG0R#ton|CSu3qX+|T>o+{C
zBLsr)9|KY?hgQG5`aoje&1R;+v6+x`i@%8vB$JzbzB&3<6%WbHri`)MwBzpPqfdSN
z8(>oP*ZU`dJr~iYAyawX)=<dtYB9dO70CiWjG~V>bjiI*+rA293k@toFNEl*#=l)q
zg*d=NNTMN3rdCT`xY2dC8Dys*XQW11E&Q+rtM*gsLsiZdE#?b~mo_-`+`n6ml=l~S
zc700%owzqN1l2cF8q_-uX}e3#0&-Its+V^g2W4eOg4snoxnLpcQLipuqq!MLTM&DA
zr+Dp-?)SL(-^?W5)|iiANnC!hiskI*^iLkcTz(f8YzuLTq5S3dX$&pR60m!8aV2LQ
zp%4Sep7C~8RaI4I8Q1jHm1m(w<K<LEH#b&Xs1^(>bLis?Uwo%C&Lg{|DqCJcNmGNU
z#yj`?uA<lV@*@aM5DOHTgwR)c=7O3`W}^sDLi&(dNe-%YF8;A=Yblvr()pI+9rjVU
z<k!t4U1Gy*0fS2KCIk+l{z_iF&VRN)X-wZsBp2-m2+!$h2YR`Zu*R6+2dv|W_qw9j
zg?x$k+;kkFw5gDZz_;thDh+?Q#X1<ePP$pPGM;(Ru={JMYJ2n_;Iv}xzQX$SPW%0p
zHmI<YKsN*Q8gjFiAAdF6AdH((u8XXLFCDa<v>cZg+l|hf8*ukB%2s3s9QSNBNSa?2
z)n<EFoa*62GMogz%t0Wq9PwwEJtYdXt1df=$jHb(Cp?PsMV54jw#qOCmL2`5AsHb^
zdiJ6Y!%8J1fi-1$zw*#h^{Y$1jOmyS{&G|gMGTG>{H(*HDEP)M-ZMpw^4HJ${<uuB
zh$u<bWm%`iA{fZpjlJZGUF|5co7P9p#0tyg50n!+;y9|zvY+4h-SD$c0>gCw<@xbG
z#)zV3u}Z2X6&-zE<_)ovdieHPoZ7=@%lv1Hs*+NH8#I&xn*l3d)CL9;<)h*HMxkWt
zzPg4<s|-DM6P}hzK-ldw4H#6-_ct#%2wP7e<A8Sup*h$l`Z|^g39rie?cuuaR;94v
z0g(u3m|@T2Uy}5qKuXVM-HlqFSN!+7wl<;cpuaA={+?Rbfp2?vBzQ4HQX&X(dG_k{
zDnP0nogzydyQOYKX;%QQo99ulQ&i#ISK6Wi@EfN}YE^RpNJQD@<Ly!bwe01FY|p0K
zG&Q;<Mg?C`;-FWGJskuH^Y-`FJqY#jsL0aR8H6MeZXmsdtY=9}xbgg=qLA<9gYo+=
z;?#jJiV1;@wnj2FZ)T$%zbNJEawUnUnLzw`Kgdi0i~Ng)NMbnFybTXFhlHHi90=oC
z$^U7`9p>bQ8^DQL^*(NR@ANlYAA?#Z=ZQs6Q<apA4D)SOdA=AVU=5`Geo7G%BBnCC
zP5#wV;EVcQ?hQ7?fD2h8&-h;&gr6Wy7eFar`}8IxW)q*$ySFSDl6wTNroOjDu7GPA
zD?wK!WmC<=5-Ve{NGpbWRj76Q92F3g?{oWS<Ln5rOI5l1{{Fs|nO(nnT{<3k54jYb
zU!%OSwZm{Df$!qj9kQVI0OVMAp1uI%{5_kWu51KCJk#EQAaLU~TBcp~IJWk8jIpZi
z+$r~V@>9^IK4=zP2-OHQfr94cC&#Cz_YY0p5BcP7pdTFy44$Fg6lx7B($qwVjap3@
zuqrAi(ybww$|<{2(C%0|#D?GuRygaUirHE6otuhc$pZyTj;nt4Q~JiZ6!AqjEN{CY
z4BTELCgQ%8GetCwT<-b;NY`s^9qZVh7jCd}3$ZXr6!QHE{Mi2Df_TgT0G@`fPP)LG
z*R+h3icVqSU^EvOe*iccWEEBvkl@n?ab#meae)!LxZr+1CJCzvH>l7iXO~;fz|HSr
z{(av{WpEx1PaRKUY}y_Y6}#w{67N;-*T<H5(kq`h8v^IsX9;9iAw`vxd-t@yD?r05
zH?L>452{!@&2>O4kI<4-b#QXZIVwX6{y4@60Iuh<LDzSu$H&0l-@31;H>GB+CJS+i
z<7F)_zU7DBg`?pU_;aR?w{1>NknslyKWsl&>0&=!vo3bWMNAw@anUPbkm6&RqIUfD
zTCAa2zQt}f{W>|jUzyyCxqqsJn3%j9)b}#L-=Bw1-FsN%t|%`D9K3ZQcG{9lqo+6K
z4uy02dU{j94OptB718tc^kHK!E`=hl*#a5QrS7}qj$%0Hz!2EF;tIv;A-&yhgNbax
z`IeC>ev!QRMf^5=I1JilGZESDca#>})u0UaruzBWCjy4a_^t2S>e^bG8qW`*%}&c4
z<IOi_=ZWRY$%|`i?;lexVw{@vU(;xEs|?(jRscbnCaNt##Q3c$P+5z^#df|`3XhUA
zBCcuq^;lWYc{1A^8=k}A+?xjbF98xCE`o!8>$dL|kUcJ;&rbdJ5B;vF&2aLZdeZ>E
zH)u!3{WuUPM7nPXuq`4bzOuWxYp|c2;<`!_OsrOHa+$FExxe9U)$f~k1=MUoDhHO`
zAD+^Ea=ah^`gSxk6t)R23$6xz#RI}Q?^j8e4q@2fxh^a(2W+Qk3tyy<lQ=)^0!Ae0
zZ*?}AKTfg!n|hwK1U!J0&FA(nIp|Kmf24axP2PbBy>`F==zM=Qqn*1_YlN{6G!x2B
zK-m82aqrXW690P}U2yT|12e?;@81syskOgA7JvEe;;u0$3LZu>=d5`3hf$+I?OKTN
z3l0mzBW}r75d19fl>WOA4x)Y|(_UaDW22I$lfXtgZJq)5IR?$1VrXDe2o^HXlIjpa
z2rHKii3*O;g@^{@?n+pE!J`-O8_L(D;B9XugdVo+o2%3s^g1j#@JvZ*wnk-ypvBg(
zp>t-llnBEr&D#v#z#$v#=+=i1?gsr%GEUv@?iK?hXlPk|Tbsd5Jvg~&c*SZP_cK-Y
zMN4lT58CNbWkz_1?VpWTfpeZfV7bj78D+AjOQublqm179Eg6WVTG<0u_!hZv`SF-I
z`kWQ3jK49?E)IXa$ySjA$J}bpD!m}TtA427t1F9&hCIxq_C`l}hQPI|#jAznuU0fi
z<^y6qDx7nk_;DXW!8;FN3{!>jKnJT=mSVY2rKNi^W_3Ymt|*bLMi%9X@$we}1X2x~
zpJ>x`G{5nB@BE>|BgGW70(UQbn`>c#_((IPV4%cvc9Ci1?<6t)hhAS!jc}Ok^QoG1
zj{Q`DGFMDUmOF+h1kr^`OVr2nVHN`7&F5)7)_WB!TUUU<nBff0j@MPKpkPX!DvOY=
zPY-%nxk<uGs$Fr)=M%{7(<bu@M|*{f(17@3+G<5`6(7S&ikhIHpzLQ75k1Ltpk)`)
z>>qFyf+vux+T9r-PU(xZ4E%su(94YJW{di*CvTfg-)ALc2L6WxQsp`%uWP|_#N1|!
zh`ELMvDey*i6|xmwF~C^OGGXldF?QrNxiyI-iYB$u-~&Y0@hzOCmgBx2Kf?1yBW%?
z@xP%u<lB~MzVR~ZOxzu_0`_BsUqD<bY54C078y|S0jnuTI+t}_sX7Pp2OzetbRf-*
z1S3cF=NRXp2XJ;5rWv)kY`{X=&W9O67Q$}8T2=YV8nbql5y)s3dB6v8v|v7W4seSN
z&$Qx-#!pfO{~<6^jPFvsV^VMD0ZH|_Fn(4KJm-}>BUAr{8{dX+iX0R3Iz7*AZliN=
zqk+PJ5EAsP9{8{G{0xD4zBs)<C<Z#0h@Oq-zVO)C*p16iax1*hD=a=BEj?%EJW)j>
zZ<bQt(om-Q&g+3jvW!XITf1M@WgW7K(&NEtLssEWEFnJj%N385h&C=cpGH3Fdl)=y
zeXP6iW)jgaUlt#V`UZ($>7lLOU>Ix&`)_3Q30TMrz1kW_1=qIIlbtUdX7IhtRle-r
z%@{MsJ;cOUBgAndO*?a*6fl%AROSlqi#dxHd+0)kt?MuAkmp@8Rhg&gPtl$Ia&G>@
zK5kLCHS4S{Ewu`^FlXMKNtS^Yv7SAxWMnG&(1Qi?OD|O;Ad6dWb{E55hfn`K>)U3B
zi_(l2TSIpo1&lz>=*Dv)$*!&*otq}4=0cwS0spAlfM+vD)$2A@tShs_Bg%*Ar{^~(
zWv9!}Mw)SJPEEYSBTYrl$rVQynKZBh>ZfL#!&HXupf;w<y0F8!y~|Zw37~o#f3;fb
zyQf+bGVbFpT8x?PgyO`K(Y~9BZ4vvnkqvBRaB!8y0E&X^6Goa;GfVv@GG!R{vl#s4
zZT#HI)N-2T*t-GO;cCb81(_@sT>@33Vrm!%6#3tHI?tidKVV|qgFv4dbi(0&Fz9At
zW+qT9WG$C;3iQky`rCrefR47leTo{)G^W3t;Ac@{mn7SYh9Hrouf92Jt={8D0m^xC
z%`a>Uw>dXS7C(*cUV!PXknWqAV=w6ua^j=*9gZd3*AShq2TSVQaT3N%om-0VEW#7T
zsajETL+8Eh+Ci*!jb0j9y!DhvHPZ>il_H|7t6fO-k<~C2B^-5k22w3I=MH%ASr>Qb
z=hxR>^-ofUigQGgT^@E}--<w$<-r-sv)lGYZMwIAF|9ZI-`sTKdR8%H^HFo{W<2NZ
zLl#RQxP>BzM1h>$$hSrJzd;D&a|?F1LLYcmg}hG;RB^$^e;y`o@;w4sz}ag2-Sapx
zw0k}GaX<H2V&ep4b%B9_Yy_ZJqHF(5B7P)XNO<0TMbrDwX%0d6)43-e0>Gol+YfFM
zT4TpxA8D7Z1l^^*zkAMPH}>65dA@3;u^Pv3-p*(nzs?u=+avN9XbJwTLhpKjBm8|r
z$?|#y8(p}KW;hg`eAD#hqAJdKn?(dl*;i!3o4~i)fGs1nd7gcQsQdG!9Tu}z${&^+
zLUU1*A*fZ|XH=?M8%pcM5)>xVLmvYAA}*V_VYZ%%o)DabcPucn^rRlm@IC@k|E~qu
zM%N8Vw|@)k*5%o}`w)aH8D?P^8r5-H7uK94%8hC=5u0JgQm+CNhTc5>&u*VDh6>6b
z(l9E=u;y6lz#UaScbJmUVbq35SE;`}z&S08H5*%HQD*Ymn*Jo-X_L~fLNFUD<#o4n
zgmLHPs~`dWg@guP0W}vT%jZ!^F(U(bR8dK#Dc+wm<5V{ZVU6T`>6&ecm7Td7erh~u
zJRN%o00!afWnwAX&;9I>E?jR8d~USGZgX1A|EMPf63H|}798O9zqL(3P!~lQ21yO|
zEV(=mut{}m+FY+ATF>nUvc8iOmg9CjHp5LnR(!qfoW)G*2<o%E$_A@g6n;kv;ydlg
za%$_kBCC!(eyQ|n&R$$BmW)#^Z_RfOP9(%0Qu)>}f)%qv5033dPlM9JZoBb<=^j=R
zkrxj$UMtN2T?LqaK*e(goz;VwoF1jdSip1<T;w1K;k*sFoj3}pqK?sI?cr7b$5j&<
zxt30BJ#qmg<QMaGLgT<wyF}&3_oI>ZpU$2{>$_v#vB%oXmU!%+<L+({zlEN+u5w87
z+ye{>AET`HtNql;bc!2J6q=xj(@mI;7CDxh++mRkM;(6CUjSr4<GyWY;UWlC6q2Be
zbfJnL!Toj0A=!1+hKs4YU5KStH#6cZ5zto9qq{R=Vs>T{xsERa@fnL=6A;y4fl1Nx
z*!=K0p7dF=0zN>R`4G2u8waX}wZB)!PggeqqacgnIqmIP6w~=USlk6#o7I~R@Yg<*
z?4B=Hqrh{XdnU1V^Bi3AZ)NS@3J7SNdH;0t{t4tW>i@?g0}{1u<G+2zf1juH+O4k8
zXW77+H&C{9g3$<=w>GUfy+2UTecq@)qD1|gfPV!kU9Ne7?x4_cZaW4|I`~7>jDV>&
za7Y?mQO6*PiQ-D?riy(SrD*z~Z#o~nZ6gkEGDvbP$B1RR#s-%~a^lu^So*f7#Q6hl
zL!r9eFaAvTk&v!DF$>4KUI-5RRLwgUSTuTZSaIy5LFC;%Pd*sYs<{XHcAeC1@Ftn%
zme?X1hmp=x_a+AESG4lfhltS))lH!T5dg3`w4YFZ7536L-;jo4<kz{0=yQDE}s
zC4~emS9ylzr4ZKZ3#r6-xkCa`(LTu?7Y3s}qrh6KJbJKS<0FbSarD+y#BDQDEg8am
z4zP=f6os$$A)=x#R21LjN?(ePTGa^-jhUx)#`SOW#VcnEG|2om1m-l(2|Z^gfS0!O
zHb%1;@?a^?;$w{7yV>fAowIK1b0nPq#Vju_oPNp6%M18#xyE0&eLL#vLPO`E_ZI?b
z)BC?Tne#YiUw%|LQ`zNoa*N+{J7f!5TyBlSw^m~GUUDU=!y745=M<Fa)xQo{!VJvR
z?fQ8N)lJgb%ek+ibM6DF*nc<4bH{f<p*Y^EIb=^V0M1u-QYgQ4?^JCP-nRklL>f%U
z_-Xz<jqK-SOG5XC11OFPj-bY)Mk^{G&S<?lI^w^eC)u=Vuh!$16DMro?sy5Z?ASV+
zwqB`XYY0AcR3%S!yhjyH(|0-@s5EHiAi=!3zAhy%C_Rt2S`4h)sRUvrMM`2<8l<@H
z*fW(l9;6P|LXUwatq&xt8D^po7g7JwEiH{PgLf}q(NJaN@?>%zx}cKOW2UhueX<Zr
zbOSZAxvn#?tB$XOISZJ+z5h4gU-c~b0@Q0|Cw?KJfP?8y5XJy95RLsDsLhX_=j6|!
zRMu@Lam2hiE&sODj4S1~bHysO9zc%6UodpPt2tK2TwL3)$L|7XI-e^E61IU0!fwuP
zcDbR%M{xlr6CiuMXscy%K3);+$<X!2Mem~0lQ1K@AQ>nrqb1@okM>I0mST{EFX1HL
zFqQYD`hLg5wrE#F`XvL_c2cMQ?TYhWDw-2h=4;k3mUs>!{L(DtqJEhX^@~;lVCTX?
z%tvic4Y=7dwvy7*uMbB|350oK#6`K#an|Zcwx1^_!+QSyZaq8kSBfRW-^(L8tYW!+
zK6WYna$zZYoiZhZ)&A3Jb=0{qd)sBk6zX;U=hg<?rHrOQPV#8dyB0ge&>XE8Sqa@7
zF$T~oe}f;)h7P2tAliFqrSx~t@ZTrdFF^tH3}JlW-I`If@=ZUbSj#wAa&!j>Bs*BK
z$b<$@p59aPGPA>Qdks6XxgA_a=09~kMIl*!qa$s{pZ7p@CA-}I>*Z#zUh;GUzM1ib
z;{YEY<WT!EBdy(9den*r>X+d;+e%|J(WXS%$Q({IdAlxY!2@5Hx^<24ly=R*d)V91
z8~9^^9p*Ey=RE|1oqz__76F0_fS+Hpb!^ir3tSVVG-ry*=dVe>IxrBv-dpyI(ZQ8G
zwdU{u4%KzN0ak2RtE@;%hguX-N|~3nUFWuq9-IAf_(nb(Lv1ZUvT^piFQ0yjD@CpU
z^Hu)K&eN#ML#<9CF{#2?+0RF(r!NzEn+=bXW}&j1ak1pCmK7Dh{4cGBgC$(P9Q)b^
z{b{e^8*8{$B~zw!r-8812X~3-!xETF4TlD_DJ`WyMIMPLewGR<BhK~z-9&@=&j@uI
z6CV6Tq5iLh^XgXS=S5q@(&%t9VbHQ52E=4S@k89LTkDE&Y5v;03ki_h>;}0;0=rb=
zK%k<4iD@~J>#7M&#ABCB!8iEucvtt-_<S+52>XjV&y}N}pUc{pp>Bg18NuR_SqW6*
z_YAq@0{)oI9VmR&B%Iyw)KU_bx_&un#lCF#aIH<$<eJoBas8I|j#YE+B-UI4*er{5
zrChqu#6N*W(AmQ)&<A-C49eMsxR{^&86xyg;u3uJvcbImM><8}$dK*!!Ef!PGPBO4
zD|tu3<s|%GbHKH{VPGW?+{9AgK<7(9>(>n5i?K<hZ^;7JQqYTKrO$)#0X!Z^tuZwW
zW?pB{Kd7xD`M_D<PKy5Yp+Lf)`CWzetrKuRN~-Ks#U({bcs4)6h0gl%kth{U*D^6S
z%sTJ@Cp*?R311;HYh657cWCBd?O^TK^;o#8Evt~nFRbAL%?3f*38`JLInq8mjlEal
znPL*;<MUyHf6N9xeB_B2(krI|*|$O&QM1C=?>NPsV7e*$ChQE~?8HhC1CzxCv#xwa
z!z?N#xERdM&hA{?*?6oHsQ=6AbNvgKUIMHw8RJ#LL~UNP0G3qovwjrJhA{56*Q{C9
zGzE6^8OnWBdJ~jeu3e%rNmL*S^EUp;uY6BCPCM1lnol31_Iz`C^4>@Z*6O|uG2u#b
zb9YZ7ZJWfiWTYppAO7v~c+lb17{g~FknnC$3TAqMFa+fnrOixV+xVrEn@t73?|cFw
zvYsr@X_slk%nKQ87MV}OqXO8C%FrC-Z^0#_1Pt5xFTs2c0S)v#!9oKVC~SD94IzA5
zANwrT3d&x|I!QxyJL?mi7k2&ft~EigWAcG8)=qiOlhvqg9vD?xC)*c}E01;Shvhh%
zx&}8N<9#&vnzc}IEB85ByrmyuTsiXGg{u~PBGhy5NT(Yj<d`601vFi;g(Y903rrlY
zp^JeH9fyuzDPC};po}-q>e1wI$juGcX2ZSE^P=wT=j`TpZdxMVIX@nXt4-J3IF@!+
zbhF-Z=3?o5@;U)>S03Q79jqO_Xyf&&D$#<<v1?Dey2ucHV{oVAwh6|D!D?^U)0KwF
zTxgeHMFRzZ!gRfyjR-UnOnE?G%-G1Nay0(~g-NXIYYUb-j<SP|m;7f8Ci`tl7?C!b
zDS@D8Gu*d&OkD6$J77)ZI-_(n-}S=@jYiyWW=6r#6DH9yyM{&aGFF{GrWA_PV`GXH
z+~}3A@Q^{2^T(MD7aza_rDLpIW8OR?K%7hc$N$bGR&2iLcQCtCc=2TP<&W3iaR_kB
z!4MVzek~ut{(QUyU>rP|z;Jykm<j$@6C8POtjQqap4g%W=QeYK+H()FVN@p{RM(IG
zxT9tlC6I9{8Wn}wgMd@D{V0NgGc0N!q4>?h!a}&)`IYVlBK1VR;gDQHq<d}9R)0{C
zE7Lkfamf=OrW^5Ul13W%bg#m4Sb<}2p+-hV)&cNhn|yL5z9j>9x3|?m5Zz&{*|-~1
z%Va-%JiS`Z5HE*ffN3fdpXGqRO>3Xcj)eRt)o-9bnHyp8i##H(i#fB!a0GO6%QcP>
ze~iRFa>C0L6EcXv@Y@2n=BJxao!t?EYF}o?jZNBr=r?jD(0zu30xo{eZc`Gmi9GRs
zDFYGn$B&3q#-&%QF{#_Z!XWDaEV+TA0|1tmXKk<ds!pYe24O|%Mf*Bf?h1j#QEF^`
zhR4l6$Fh788Cc;VxGH?>_lw%%_(Dis2H%KY>DcV0n)UrsG&oExPbe?XOl4e2&y``q
z=41T9izO>Y(r-yeZ3Pqj1+cl}f4prz`|xAYfrs^Hir{AEEVq=6gvDphKHh^gpeM$X
zXwb?|5W~iv3_t&k@sDUaD;RZ@(4{X$3=Se4B!!NegVR`HUEZJxJ5e#@xyd*^)r*3@
zoKSW4t7i7u;cprX?vo9dmkwOn)zRA-e3a&eZ-_GHz6S|lWoqFhCV&3bHZ&iv;e8>5
z{9%*#M@I)s;b`p<^iR>NevXfL>A&%bwc8@R?=Ni`wgG@k;Wi9g4BJB>`$i<g7(C7=
z642N?U2AHsYLr|+bH~SkY(<=6Juyz61m**0N&C3x?VGeg*!Tt{dM;cUA>8<eHe65b
zG!{8#SQxDWEU_EW@-0c^JHBedxZ(>BPQwmApuIo%RpLE0qlxtmq1*_ncbHj^GM(Y~
zFXv_wzQug<hC$xbAzjcKW4nP^*x0=ovd#eq(d?PT$^?AY@e9OwPVECeMW}05Q0LQQ
z#g~A!Tv&w$&gpoHnb0QBkT>GU`Xf$$&MwSn|GZ!P0WSjE3`DgQfsgdmqHugkS2VID
z0}Nf`gIftV3NQQ-y7Z0FC5|M_gteCzSGZP$p;R>CC-B77HewTc?$+qY5IciHR7_2m
zMSdvSH&5rFTs?ilmSi4+dkU_a<hBwob_WqcOV;S_hdT6UB-;lpO29FODF(3SS948t
zyf#Yf*t%w^&c9d%xr=L)%a`rr4VRUL+c`*}wIH98|Mbewm4vf@xORDAVPRzj<3h*G
zG?rOM_zbhyYZyJXaYBJRuTbm(8!<-l)^uzZfiGe|SQ?fTqiBL3n{NwqA!y(lmh^1Y
z6v6E`<_~u6WY!TSy^<UA*eb=!6t!b7!5AvaUVZ9D$Z|w$TU)>s*DaDb2((>T*hmlc
zxKt*x4MPORoR2Iw1m-C@P0PzU%Y2$yE1xr4bnTQiwLd3_LSR-%*J$$rQH)QiZlMi$
zfn@hS&Loe2V{XQC-I3g5RbJ7{v9Wh6EN_U;f&^P$Q!KpVl>m|M`ugU881rl=0-tj=
z7bs{lRn288(1I_dseewnBl}|kBhaF^zkc<MHGWS4T%le!Gq354UF$aEV0eocJkSoz
z3xT|5Z9KQF!Am$7f3fq)s-@a0aU@W&RndsT92UdefGsV7f%@8aO?1!Fe}oO9ZZ~<|
zc5QK+YrZMMW(E8Pe1pd{Gg-D$Iy#hv9+yJ(4Cb>1zs>Fr0$ukL>tKQvy-Y;0Yw;9V
z;oHu`czf3+x?0(vM|wfR=sn~=#(e>Uzd=toRhEJAp@|MdcNH+QHcjq;j;iW~2|9lk
zo7YsY9AnYEf~WWQfW<{MIUp(>IDbM6?FJiZdkL2(DWKW>v{@x}_**j<{M0XLCB~bK
zE3+l_)@VytlHBBp%0n;MjIC)`pH%|Ra;^1HJZZg~oj6{>CwqhAIcVH=W7YiUq|HgG
z_9H7^MdgQ;S|2VZAFD7ryJmMghOmK*YxhIkRR5ftAgY`HAPw&Ze;3_#1Lt&@={%ne
zDEdlOD(qsxb)mGMOPN##rVC(>F831E4lEG(b^`!V7R(zQ9CYj>u`ttjn#aUcI8P-s
zM6mtS1)Vdz=9uULgtpC53gwN&n(f=;4d0Xu>RQQI^GTZ!y`mF#X++@Teu<<}X4)>9
zO_&*5@b1?-$4w2t{~;j+OodUMtCsyBT{r(Ikb@}ReIIZ!Y?|JO7&JG%M+*5W38A2&
zkO1qB53CX~SZtYu1}%F>gNnB)yS}=q2GKJ8CSeF{{eVUuCsp9obl7szu@ZO4ZeycP
z$3SN@??(90M>Bk5`+1CQl#<%2!afA2XIa3?-K+DUrs`)HcFo)&NMn~}h-1%kpYz0V
z<w$pMc3#Ucm`mj9pcS)8O#7|nmc54xVdDDx0f8J+-Y~tN48z=dXO2bryEZc(X^s~9
z<VI3#_bGB1rEt=wL2ul=$*KYX=ACp?P5Hm$Q)9iR%oR7ttJ@Efc;$_ok1&TlQZ5g%
z{ZS;rJnGFlFG%8G_7)zsxrE<cd4HvSt}%2SD7OG~Y22O4jf5_Kv-AgWs#yIiTS8j1
z)iJZcX2OPipx9Pb<$Q_gA!d}T9vnOKfv2ay@2bT0>w9iwSo6`7lM^2y;cG6bUJw9W
zTYDaAxG&jD9+4}94G$uJm5pR?$bX?AV}~$(r4i1*5B)=p5O(Ik`T>4ejHmr-@o`(K
z;Or+FtA@z->|$srT;uy=kPMXf6Xn|3l8T3#+&b9pP0P#4zUpbK!W7*&*}*z~pc~}7
zQ$&6{!0AK~q2^_$MCeL-RzD>FXca_;V<FXBLC`zX{%<bw4RX2#^6Ti)KR(;}yS}O(
z-2|KR{D7T3RMGeawoUU5YqT>S_nvW}l6%-Q!cWI#6qK{{V6X$UG7ytkUnT!*E=6)7
z9~b+86`w_}WXn{XR$T-0@akDD#%u7%%x#_O!agzSki!nN7_N9v91k0z)&*MMOpxYv
zN6iRr`>&^!BI{x>Q^CNF+@gns(^BPq#&>7;jN2{!7!th`5R`B-=fOO}v3AqLCM3)Y
z+mf_gPIQHH);S;+=;^7+Fq6ruY_<74_Er3s9lVN>w-NMV>ofr`wd{{1xahq!<!NQj
zVketzOQe*V3xB;HPni4`?q&7Kip3p4z}6cUU3Z9@I41p2p|;;5DG|nP*9(y)<YA{8
zC5k}Tc#UvPKr^Rg#x7f__#Cy;p$uI0VqmEj7Z#ein^`i$ui~|Kq7yN{d0riFU_fk|
zmXz-ao)1H5w8G?u#{Mf;t6N!;dX~L^p}<~q(iwD#8|?dZ(B0h)A`lGb8fJyf<NUn6
zdB-mbFSVpsN@}P~h>*1)*Izr!T*n1JNlcmT)SC?m#G6Z`Sq^a=yH-bhfho5OhnNg8
zNC^;p8mQ`g6u{|TCxVDRy@C8sLZMX5Nfc+LXYpfs!`9-3<To}x7cJU0{V1z<<SraA
zg$So4yc)`Jf|HflROmfRP0l0IPkq5e;`}yTHR-N&{(M001$>p{(SobMBcALALJ7}Z
z9NG@lQ}$M_s{HI`=k(>R=Ggi9f=)aTqjR>())->I9YRygb#}24Tse!|n+HAw+F-?G
zyn6|ijp6IFLGjeyf|D>AZ7Pz9EIiH48cyqle4ViyqJM$3rhl_@bZlG!M=E1BBi%S>
zqfk7(H5O?w2Lkly^ijOLyf6cwpsNiL)bBK+67=cVD~}B;tP+E6wLP9o6JZt55RCk|
z%SyexxY)woQTbauvUJg`i%6L>cP)pcPegd|WSC8vGCehkL_M^h^RZMo@Qp}X4HwR4
zjl0U&ToMHvUsGMPh(61#*);a3q1wMlr<f@IagsyS!_oO~ri&&x1iDVD>+|4bg(%t|
z*QiMM@DQavWw!2MpMeaG%ELwfYcUp;Y83R8^;hURbjQ5espo}**;ngFPR-f)3o;l8
zQ8~Jd6q#o<vtzIq47s>W?@SWosMM=6t*W)hXRT>95FuO~1?7LfjN&8&%MfVkj_T7O
z`!Zm&scvT1B=A}Q$Y7C1yz-1|7PvU|f0<qM+tFz!H*cOvY)e``QocX^CEg6KEab0B
zMV`Fhyse#mqpRmhaEKHrf{~6GoR!tyb4pUWE)vnBR}m4FbupZCT$906ab?5xJ9Lgk
zVqanILV=Uw6CwQGq!A4C>vUpotqlYHiczvJ=F*s9uuud)3^Xn{FL27Ehub!z$RVJL
z@jRo9K#l$WX<(5UOGovu2xzc~c%LkjngfPS$#F-W(kul8c^tuab@}c3O6v()NOmjw
z1crJK?IQ6$<euD6U*8|(x}B|yn6Zq*m-x6BExvFXv1$9a0)S>UHD^8Fr|!EyL}{*C
zr#Hyy+%QP@!c_Wimlt?J_w`c;u{TXJzljUBtFOB-IW1RT`Mn)?=M4HmLI6pqy}Xb$
zUMRtfhzfPwFIf-FmE^8O6k{B^;339OWh_(*Ix*iCd$Q|XBmXpT0n?epd#{9t)(3GL
zi4Y)RNULc3QCs`_;SqGL<JdJ>S6vlWWaF9O!er`|R<mk1vRHxN^?mEY^YM3!U5ot(
zEeGHRSx2T?{`)%K7Qm$x?f3kK>67~PMbO*+4Xq>0L_Xm~Po=I^Sma5L*hfUe6IW<3
zGEQ6>YRUsowTYQsjw<m3R0+xvU2E0WVQ9agWMjXj(&PBeN&uaM+D0utb3#BagAzL&
zf)tO2pP~lxpvEuWh|<Sz0#C7}?q?d!n(v1#;4V`V9<O%@Qd$8%<kg0Mj&>o-+XfjJ
z9AKZtVPE~U#uqSF<D^uwHC1P%$V=i@UoZ))F7zF#MMVpTy>y|a){QBGd8Wq3tG5S*
zysvSx)-YoELkfKX2kLb}n@CyZAD?zgvaPFH2-U|On`+yM#cGegu~RT>90udt4jGC*
zEaEX9?Oc_Jutj{isD;U=4`7Vb_~_wnd`Q+n+1BJd`0Rw<UFXB3O1<8{sPk1#ojQBx
zK1)izwm?#y@r4%jXiZQ_O6toYjZ4i2mer&pZxz+;9Y5k@0^KkVl1!ay5g~XFvdE*q
zzVPXJWp-rn_tRzdu*k<zhoW$pZ+X;Ve0YEK><#rM3T9k_Y7IMgw=yM##xJ@}szGGh
z_HYW*$Z$S!wE;t4Mfp%@OEyJ1UK8BS5w`N2sqmN~B=}LYUk5iLGc&Vb@_Wfe(Q0<;
zR*TbiMt_2m@5NLt(>NpNU-BuWGdNR$Y|Kc29Q~LtQ@|PeD+^`k>%g=wNyb@AhqOcl
z0WwyzOsxG7Q#T%@dn-?sih*UsEUCefee=!c!dJLPb8bD!!PkDn##+5pmG7K5kP+KX
z_f=Cu)Lbe4_5Mg%h?^DoIIjFnX!P3f7bcNJ*rO(8FX&Ew;uhKcOIQJ)VrySEBR5^I
zqYDEWzW`l@3tTvs|4J1)AWlJ0rW~mS@@i6%%2melDkOjZ-l4GCm;)SflMjV&UJYhh
zXM8i&3bl&hUw)NEO@$2$yE%&djwk{eB;mTkV{hp&NyVNUfPsqbp3^c)879*oGg2bh
z7%#gef&24Sr69&cEy$5-VZk{*eg3?hbS-!czb~w13dhEpY8}{ZoBTmCa8{yTtdy}0
z9MzFn<aQOOG`t}&IFuVwUcP)JT9$>%fzQ^+ERa*aG&JRPhaC(X1BvD<5$7LnpL*Ck
zIIznoN^)?ZemSTTA}&rP;BhVe*F-bdh=UOk9g@PNt+m5;3QY^wK8UCfDO$F}8Qt9e
zA%lz>fgF~>Z520r9n*?0EVIG@u@GSPB|FeVk;I@TCG|yPA97Z9D&GZVx3k`s2&QJE
z^2a|p2xvi<8(F}jgp+C4^k_vh&;AfjVG&3tI4ckD(i!#9qs76Sg#SgBKW#%W=PW_$
z#nLlsYFqEUkI#>WhQg*!Mg~I5I=Pr}PeXf*7K>Qq;DiN^262hH2TY<6jm3m0+WAX9
z$x45<#T3gDTr5M<i>7QkX@TQ$Cv+p?-ygwah^+x#i;X=irlWm5+QQ_innpMXDT|y$
zdG0k}9Kk|;2_k?~02E8DyuSnH8{x(=Uws`_DN(vYLx31+3zHaRdI~(b!?&rGX0TM5
zEp74vxJr%!E!&U&U^^Kp!Iw7Q(Itl5ev@({*>kaB=TK)Q8<Z8kvwIb3zWUD1PpFA!
zamQ8ni~SG0d9HIod%rRk?;p&31%ZvQvkGz6$jZJKf<?YxLSKy`!q_Um%p_vvHfUhw
ze6He5U6|qj#BtABo$+tBfcwy-4aoqE76Tnf^H6G1#RVOVVxmK~{ves|p#LVbrskCE
z_(I`wa~p!mOE2q8x;ftcl_Ak8_`c!t-JwK<vN|KqSjO0`Thc;nFL?}2e^kP(+ie}9
zBJN9Y#O=}Qlu>y`t?xdx<labovQgpyhpkcYoeqPZLd~^**XB!ZM3C;gkL0@dIt`-r
zO-<gQM)mjW2^+5GhH)J^C0zyUm+u2N1P%fzny<L?Ol7OM0$RONRR>jEFn9RD-CPM*
z*!ua$YbvMSv4uk+90?E5#4q+Dp~#;VK>pC~)@rFIgN{5&K_oF2uz@eBii@zj%<d%b
z^<_I_J0u#}r1$#4tD-FJb?O5YsuA0r4{0h$6E$bFr<5j@Ki-qA>f8QoO3gvY2DeOy
z-TKyh?^NS}6q!j?Oj0kis;Jn9VZ!7pT4(P2k9k5zLXNy#Bc_;$?w5&e&o3Ap;EjDd
zSSh^t{+J7D_BgwIDAWAzdrDAX-;&5G-(--fuf?umT{aHB93m`<Rc1B0`kl#7%nQ?*
z1|!^X;UC!-0wd(?oKx`4FGCgHSp^KR!D9p<IoeofZyCv-guAX>w7o5nPNiw4oNLSI
z3QW@9Z|nJgEr9sDn8a}p&7t=%LU7$vu(y55Bvm`ta+RLuEDi-@h~$;XBr=dW+-@vY
z^k$u!SPg!tkODg|-AL{Fy1(L_g4|MYeZ&h0Cv}X64u3smek2h9m)-YXzUNGl9<t#Q
zu!RTAKdSy|efuE2UDRNRi+%)F%>6H0Sq2=Gut<<Qh}S$78&c7YjtnDH;9iXGAY75|
zyON5>Pocfn&Qi&<aIk&X>8`>#sY>NGiRn4vd0wf%%G=K1-EUfu;>_7!`rC{8wMg5l
zXN;1H&!|pUy4UrV)q+o=dyv76FbO7*$Q+-P4V*F}5wN^3pWc6-b{jWW|8KPdc{f<C
z)EjoIUsWgAASSnsKD=|Dn|xX?8}xF#x-|2|V|E-Og7dl&I#G^6ayyiQD{;gibn!)8
z--Zqehskd32-&S5)M|u@l7fHsHYO}C>5DDqL}ux}?u~fysx2207(vYt`4p~>cuD;p
za~}%ZF2e1LC#e5!i0=uh{`o~z(7e-6ZszJO0lHIMRoPR|YHRPHr;&B5ePCK(#YpAB
zfj@61Z?u}iA<gbz;av(O8AL*h3^5_B1XT!iC<KOMh+Y&?43W?>!&gY@0|CrublBTZ
z7f+26dM_A0Q!UILw9Iw9Z}LRUbZC%~D`FOG{N^WRp?O?tsA;IV_E6EV%Bxj$#ngj`
zlU-e^J?xv8OauyyEUc<hJ0UWW!IK$c1oqvrce;Lr+Y$Sy^7Rf}q^OkT4Jg;Lt%LP;
zTCOjGyF#iC9V4$3y^U*7Vc_K`noKyM2=oV*fkra*4z~EPh5GX7{RrdYF&JN__t>ti
z$Dy-quoND>4lH%T=s)mw?tZRB%(^y7wiX<W)@OvT7h@N;Ewo>)Z9X-b^~JEtq*~f$
zzy>FC#N>|@<zQqhfl&KRl8(ExKTd-Vy>adue7gKO{Y!A}MC)`Pe4T{ot>5zU;JwY1
zR(Ke-*SLmQxf_(ZxC8~Ayt0PVJsCWYT1>q|(Hj0;%aL(M<_^ONVT)veiO}ef#8ShZ
z?a#Vc;jwJfPNw*kPy@7fQnvPH(nV<xhYxQ3!dDj`<f+~1Qnm0T*)zxT>0gKgyx2dK
zU0==ZxL(KkHsDFBGH9M!E^hGRNdI%uI`?y1ClVq$t~SQ-dlBZ%?m-LYhb|o0t}5{*
z9-P3xX9K#aXBUDfRn%*I9|Hawzlk)US^9b$FqI?PYScklc7rNt6>XWb6?8GhFwiwC
zJcFD!0oO|+ZWQ0@SFb7p^t_TEVolEn-@DT`ok%@7|E7K2ADA&)=q(faX}FRKPpbg$
z!XbmDMH?jK%(S<k`8X)Au3XhN?82O)e`nPAco<o5qvm7XYyhaUv<0}(6NkZCI=fH&
z?;K3G{v5Tl2foC4-<X^vG!B5@IlKK|iW)3H-)VaP?|~qGxlWB)-+N+4n9kp?Bvd`>
z{11cfI--q^`r#o)(G4~(cJUL{%E_FfxDw2JJIQHZD61KAvqzG$ET{Y&=k_PNicMHs
zi_)hIT(^EAQ*%){mAn<>*p`QJ%j21IG4z+iC1X=rL4{GRsZ<omhUz=Fdu|v4JtSGY
z2rSGa6FfX!76un<uNo_D#aH!Ng3T=ZRD1YutyiIEZyC1x`=ydvBw`f~Unx)2&wyWA
zyD`T818oM^Iw+J3D$L<1xjeMID;I0SXNzI43Iiz%-<f&1^EaKWg<iVE;aGbW6qTAu
zM&8HH>!90fQGg^NaZ!t|sOGHHP_wdNNm_g!9vV{VKQVbzg;W?4gzud$?Qyu#*vlnQ
zAc!;hInvi|b5w~gAK-~DcR~)daxbS|4leID{1I5KQexbXdBtcH5v8OIqErJHe_3rF
zZPvQ?-2ChR_YjWpqoSgM4ShVIv;6QQS2G)Oi!N;uorDKv2(BwcR6j{GgfSs{WRbo|
z2v!qH&bULjg93{a^*Y@ArKc_7QhlCR2n>?+;J6Fp?h5bGzs0X`8h2*0xRR5Vbn$s2
zt`1^Mtleq(ZULrS`K_!UCtLpZ22wZuu6APhtpbfzZ+kSMx6CL4oOlq(Fvh!Pz=Stq
zR28ic%xp`?MovA@+SsU;HoUz6D~cn_KCZ9U#Mv;MrC;nALMaBzgU6QAjxU3BV+S^w
zMt)9$g<sfZ-TAe~(C2%kC(p~!F#j}Zbecux#PK7&?#03jGY!bZk+e%Sgl+RMl`p}5
z;m+$SQNkX=hzyfwPaE<u`Sz9^jh)`N^^|t*sE0gyO=rGZKfB(L2uO{m_wc7n^y<lZ
z7g$D(zTcqnO%;viqMt&OzO6XrW@Sw*WZQS2=Wo8tCzV;+x$nNq#tFD6mgA?)-*&sZ
zJ=^Rv!(kz(3LfZYOJ`5DYyuiJ(3O$vsRHX+vPZ6~$_D}HHN?8`3@ldBUZiP%(58z0
z$=kPdQ+K0zE_+n1jU?{VJjT>af**OF_;WF_?k8VuLm84+C}D@yY#r1rj~ABsb7AVC
z%sKof-sshN1xAx%)|a1LtgS{=-Ay?)9h4_6D^8n-)8EQPe9yxOg}v+0Y!@qD6or|p
zkJ<I}LkP@ST6&}T2P$S43Ct^AQ_&rd6xu>4PNG!njN0hW(Ib2IJr1(ur;}$4%z{&+
z<)BwbLc;6{#w3Rm{JULZFwL*wU?(^tD=m{e3rQEV3ggVV=wO1gd_-ZWUWA6H%h7(_
zg&n^MToX8sC8>^kQ-wD8Rf;A8bF!xK2wPPW0m8O!$U1qXe#i_D(DcOJf~TKO;5X+H
z`duUObeX?cHr;o6xw!l(Q;F3B2LNNutZ=}s3m*w$5;@(smpX2M-a&seo3>e98nn5-
z{=9O8zb%0{yp@(p*8bAB<NmjQOoh7(uUf&G5)FYNWvBUVg3~^NcOA7}er{Nj<!Xf!
zve<tgbxL0IZ#kYSO8|R#h>%8}pTPGaQ864U_rd}fDbFA+3bL)FLMBDb`BLL}#fm<I
zeU>`^p1y$!2NmMRNTx~pW|vvczrLJ_ezoAvf1k<6Y&3;YyJh^YTwB&2qo=jQ8j{!Z
zO8Se~RHQ8YYY5kdHI!d6z(E`$^LcCcpVU7O>`5P?{*6ynVf*2JND%u9ZFKLx-`}>(
zSN*!F^Qb*k#xbzSr&D<MY9fp7&ZvTu>E3muMH`Jkkq%VY2BIK@uoQ5x8zD-|7SV@Y
zZE^QDsHVf4UY;!_x%FcjAMj)_bqcp6PO`||4h)xmSCMhqxMDyob%B&CcHeC#Xg^iB
z?yy#Xcs1L(!)Z9${REVRySux6x8DtOF^{Sx89o<$R~B>T@N-5vB_SmR_1TjK>lHXx
zv;s7BQEp#VL2y8#Uy9m|H96aBhdeQCovns-xwgc%hNdQ763ja_p9__ygCfjv`NUay
ziF%vVjbzG;EN2<GuL#l-a<i}!(jHa4NZ?P?cq#JF6y_jmHoKvD`+HSeT>Q#RW8w`l
zYSFdO%fI#;X*h;L-I_-){&xS)ad#5UtaEFz_;@j^+9wZxsc2)Dy$2%;f%WTfYW>?5
z_14|Vf8$)cYfvw<h=GcuKmOCFveJ8-yRR1x8|R->a?Tb$TrCT@?r8<W*Dt3Em3_5J
z$2N$+)$LDZFb;+{mCU1p5X_GelH*{*ZPD=kndl?C!*d9KO}7z6LS0Uf1`7!mTVb@=
zkrtSeYf$7Js6V88&J?R<de;~1U}Ls!a!1EpJIYp1AUSz;ILE(RFgdt2evcD|{qO1#
zm{2-!eFwqwa|D7flD7f8<pcKBe8F_+By81TzJbEwk6Xy`e4jRNYuT;qcK040x0P=I
z5P0D3xZpzYLm~S#gkthdUIqe8GDQHTu;sOCf^)@{Bg%({a5UKlli#8KT~#?7!cl=V
zNKuf4nw&Z%oGKFgrEnTcWL1eufvPNu-B~!NyS%23)%o~-*R0*U0SW8f)4pY759w0H
z?SQ51@>bUq8vfODy<@ga;(wP%Q1)G*wY!*B&a83F_(vziijym0{|R+5-}KWCa%w{H
zgaC`6*JdU_k#%}(VgWgdfZ3vT)gSC*Ge0SwCf0~=R4N}2>u;=TeEyh|UfP`0y-7RI
zk{HvEL7=3otgv>E4@Qolf!vw|)Wgra*+LqyDQO<2UtqJll}O8RfbeP)2nAyD;%IMw
z8+}&5<k!3qYHZb{rO!FbXf)#$QFkACom>&HJA#IXfB@I5MrFDuN5KE(Nn{(<&kP?`
z1soGr4(0K+%x*z&GiJs5^xs`#E+Hk@_{{DnTbt`<M8KQFmJT+b&V}~ZOSStBvH64i
z+L|+)lhiNb6C@6BieNr+Y14ASz(e_W+oYJ?EwWq*&vVueul%0Y?wuJ5iQtUv9XC@w
z49IdWreEjcc!$B0qy|i~&Y8~va)i#?hOafGN%#w{t^_g2B$p#`b$b)++R^_<(^*DU
z)qP$3(%p@8DBU0pl7e)1r*ukpH_}K;NK0J0yPJz3-Q7sTdwAaQzrzm<J~$Zn?6ddU
zYt8wan`$KBa)|^`FQx(eX+#`U0OqE)ZLP1{^WxWX<aVX#!FX~Q(ahql&E=3XGTgpj
zBT?+x!G-PDUX_fl6qOht=)Cb(bX(Mu&>t9E)W6s*DtmVDZCO;HKV)Ci?f;ReiGsq=
zqZ#JRi%`u)gWpL#^RcT>3$4AD9JAFFFdn5dT#{6*42IfpkwEP|*Iup)QkcK8TNjjG
zt<y)MT1PqadW@x!0jP2#wIrE1j);ish^X~$-v7<Vs`;@sEAG^TBLLycl@AxO_BOjJ
z!at;7%Ut`oIg63S4Chh3Qb0sPi26PW;O8=qVuM03fd%B8<qeEU2e!!3&j!XM^Z>bq
zLy}s}sLI6n&e<?>FKz!A1hFqM#9PBKR(~LUmI9Vuh8xqBuD$9kyEZ$hak76kjPKKL
zR6;63BXm)`gE9BC;ncJ};GxQ|0sryojTfiK9`J^+tA^s)rF}cGmC12J-2xBP3S+qe
z8CU5$&WlGtcIwX81_o!wPpKfbgcMp5so<pVxn1a3^zR8Jowu^VU~sM-!{c5wJ3NS{
zqbYK^4FytQ)&lP+fB(dnf`hvMA5nA3L(qViU|hsCqIv%t#osIZFJvjiAR;Qhb?y-K
zW(qV!#1KRh5)KeiTsb-xUK^){4=PBM^y3;t(dXAvGI-qe5FL4EotD~@DzmVN!-?B#
zEbsiV;MYnoowZB*nPpllQYNSW_**GV5Dk~*KebyQR+qp45-kM9iZ(J8BiHO9SbjLm
z2J0XoAmn!D*8$fSJVOKxXup0-?63`h&NIWcGW3yHAcHQ7m^Gu{gq;Nahini3U#^kQ
z^sx>MOt5<`8nEafV)Cus)%49E6oin7Y=yyF0CN;XVHGtDSppzzIiAvi*Xf7Mb8UQO
zN3?_iWBo*=tyKen3raGBwS6%pm-ard=&y`Wde|OF)X2p@k{iSAmr@`?nvLq1qeaHq
z<9O&N%-?XPQ6D4s3FwNBW3oz1Yy~UgN%<=4X&0PGbG(c7ztFcD^q?Spb`c)-<i8q#
z2P+z{p^A~h7(;ZlEO>#S>7`oz1+dG6j&7@$>KWl&COtGZ4R<;7NAG_+Rt1?OMd>BZ
z=&&_*;ns6?&*r>eZk+RXQFprRTY6Y-+Bj0amyy={BG>Hdr_L!uh3L@#5Xg88TUKEO
z1898eM~M&M8*YFe@T>oM2f<-VH|uKQ%ppsmB)Y$V=?m4RV6`%0=d}(5_-5HBCMTtT
zCW0H7Ms0n>h6Izax=@%;q3TX9c?DWqk6rPjfxZn}8)HI3)_WdlJ*JLkAVz!xzXJ@$
zgYC}P+mYP?P4G49X?$guT<I}Yzz+mb2Hz#<vscVkDX2hFL}Q_015`W4<=RWgPJV^c
z+R&3VQXqhw-9HQ9Ibig!rurRAs42r1?@EweX3{VY0Fe<$(?)DoS;K%j8Ph53EGyfm
zYozqIqy?>n@5KF%?Kw-eWpArz=j%PRFp$z?zS}l8Qk?BQ%h)OwFPW^(Hv`rG4$$oa
z`ifi}wU;%SpCZg{O`Z%zOh5h96_^m)rn<VEsZq~O@wx{-5}ySZ&<$)kDcj;nZj>>M
zk$HYPCSrg>jv*2a#X?$h0dtx`@hNpL!6L$vtII?hDCSly8cQ@&rbe$~^Jlz{A074%
z6-EBY&Di<w>8a1J&a-79f0PRG(sACt(HKJDVxCpSG|*9_e~8z6v}iJ$99&G^I$xsy
z5Zw<Q_RZ8HN)S!o@16lFE@@&Eds)xa!^<o4Z7c!&?P>nYn!r}Rc{FhN&aq!{eP<mq
zJ3BjVb#3GnA5ynm5Fg|8`*(L^^HvuoR5Q-M&}546u1}cXCbF}$>5D*lr6+60t7S(I
zbp9rfEqL`6;Cw*k8!^P^kTwi$fs)ma8;U9Xch0g8_6O{qF;;(>5XJyHDM;@5V*U{A
z*TJ#~001{(j=<lcYFcath&>R!+L{`tx|W;iP4Sdu1>xEA0YV|pT15U@UHf7hJ?&J>
z`O*(U<*wCQFq4VW?gxeF9C|sP;fTw5WuEHF8Jj+9t44A6EE0{N0E>m62O5qOp2~S2
z+)yiF+SrYM#-vhM&z?x(5+uuS^FcAS5e1sYIW*Z-OjQTX3AoQNX!2RMv>_0)OH-`(
z__yA=cfWDwi^+SF^OHs(`Vf~M^u<W+^dT?>{GN~@3sr`wuCYj_-w@%^?IS^PKyE1H
z;bLphTw7RcnVLpa%)}AhVPX|9r#%*7Bv)x&%&+%kkc5BxtJkP@YR!Q@m5g%EFQ#AR
z=<JG(iv`Fo=zMY6v!~L_vmy{3kt+KWg*na;DOu(mzW*o0*IsbDa=bnDoTVJo7b(aJ
ztlQU4W|G_ds$-gf@HdhOn+h6hJ*FjQ#O^92fgYb<R6#0#GJDB2oV?C~Wc0}QBZM%o
z5{3b(U)6IxT@dppIDj-~ji~oyFa<zDjA#OCOhQyL4h^Au)?7Cqvd{E}Q{LaP1gkau
zg@Gj=J|HOU?J&ytSi8IKW6>hEqv85(?bwz7&8EoLp=yXZdBwZej2EV~{(;+_G9=kq
zI|R;?^b~cYG|F=6TR=uiSo&D))zuZSX6T{-N5Blp4IoCiayfH+%9qL*CbVn+DZHx(
zKlU)Da~@lo)>dcMPF%=Cc6V}fxT@jnzmnsn1_Pq!Nq*dOey#Djs(g?}?<)9svp}}%
zRW68M2-O9x)`#!RxwArXs)u5+A5ajHlEj?lGluSb80-4`K<KJ3BNN2q&}lIuGi!au
zsS9E&jBbFTnv!MzGV`6f*Bsj-yzTcD<?g)$&>8aOhHC&$f@<csE=h^0a4ulEjGw_!
zSK)g#u@0q5OS&J@qHYESq@FT89rP<(VIjdGYDAm2Kk@pmhj0gmg$(sPANnRWD@j`s
zg1Cm+tun?0Q&E&hdQ#x<5|WZ@5Bv~d0WqR_0jfNSniIW?C<DbuBgnW$m$-eRECQmO
zi^0f8eh2X1lWwD_ES2vxlFFdA8zZkt&k3jC2&OuvNESu8FBduqPG*Q8S>>2}B1R8^
zqjc^SW0|OfX2JPizKrQR@@Z61W9>5K_Tl^%a<1*C{om`YrHq0S&sOc%cC%hRu2+LB
zGD|;!Gn9EQC*hnW!ItehY9aRT-_H!^7{s%c5#I6q4y^i4RV8N8#Pk%{$WDmb(AYT3
zbrb)5?;~6)UCSJ$aR{xdu0DR`$%j_<oAXTVS&`u#O%|G)>CnR2t;pVqy+r@YMk|D~
z#ZbT)3ybtpZ1qRGqJ+wbVPebMVel1*@7j{{!z?0OTHYN?c5zT8Mrlx(R`iI?-509w
zip*jkKv=2H5fgq7ibKb0wcp&hyG|#Ap^<U+RC$lu%Z6GBjwcsE528q7wqyThCkh`x
z*B)2S4XfRR<I;;NWTAPx%ns6CuVDt#!z0aSVC+cg)?xqDy5yD>X?0?Bo{Ar|B4aY5
zl46+rKu@>3xa%?$=6}6t-UHa5yFNh_K!`*y&VlENR)>k!(o|h;aPHj<Eg($cgX0xy
zbt$8YlL&|tM#_5RYZEdA6{%^bLY8*_erHdm8QzACS3l~SWO-K#uY6RaJ-PYOR_KYf
zoqm)(Sg>Au6eChbA2<3@@$zZGVYvy&igV=`5)oMdVrHWz+)QJ3%DCE92dcM}QSm^Q
zG4cHmL~HUpEfgG|N({;Er!X<`9%2Ke9d#cf#r#k0;{Ql7JRst$H>|^)%ctQBtK;|a
z(PqL%ScNOXVLP%E&B5WPo^@ZeQ|0szhcSU1fBh^<$+>Nz|1j>*B7tIDJu=D4vY?Yx
ziYbJ?-Gmtfd2;?c8h_;Be%&ih@37i-f8|%L@pd$fb^{%jy8~VU0q@^!C0@B|l~AAn
zxr(V;tEDpajNiiZh0P2S@E|jg4aDR`BL&sS#a8;ga<RVQasA)V3ksT}wMlMrg@IVA
z%Rj<Ly*{mr5xkqCwUC;(9nP_95deX@`95C`D{56k@Ia26>z_7n&|5S&R6@yx^Z>6N
zpcQ%21GFWX#+SvUAkct&R`c9lOQhbZm(0S*NLlm8GKta*ldyc#9$B+}!QNP-uBNNR
zVDnU$2@;L6<3D|MIf(tyLLtNs?;8QbZ+Y2Lwqayhs!LdY`UTQe7b3F_21x>KEOErH
zEwQ)&Pj>35d%Hv<LqefB8tA=RZ|GvUFTHu=Um-p|q77|uk|FFPk!i7)33aRbS%F0x
zHqTvQs(F#`@1}1x*%#V?Af~LW!ct8IT5OAHs_zWTg?wBjW}*NvVz>RvoqTH|2D;dD
z5!Y;FmrvJb#O-E1ep*MJV>-^@l=PE-q8eSn#P7z(x;W-)*h`3qu@JM!rT2+T;dJ39
zV#ZGz-rkA72jGJ*`~D40zIEBk*~KYNLx;6l%{NZh#dwj9>hJV7(7x)8mZef;*QE~P
ze@WHa4w4(<V#f%;qGTsC+G#C2U*NRF$>ektRu}r#<2K@m05Y)`Qwvp*r}1_nR>tk#
zJ?Y;Mx2eWHN7({?Uf^PWhYAnK-R6$WwJl<dWBQH%oZb32-*2d^laiC~-GBH|5>o>d
z`?0aHT+bo|;jfQSZVM7b?BW3#JEo+GW`Os)`P$-E{FKLWg!WE2j1qfHK}}HTWg3SP
z$OfC-V{7}n$u9~s#KDOC;r)pXpJ=ue)Et=(+>CRM_Yt;?{c;Q@!c|E}x7bB8Eq8PR
z2?ArOL0xb2U)~f=G+Cr7>N2~|^pVvdF967Za^h{_3HHgY!3U6P0Jpv#CMA{|3dhU3
z-E?K5vVzp~?^&B4u>ZsDvLk>vj~%8Wg5BaGNTAuwXrB0VgMTmV62UCpa!OLMMsdj-
zT4Cq`jk2g}Btv2-e;=QxH}B-@eeUa9UfTM~w>5Ry=YI~b{{S>=r|$&i>l?`RjRLs_
z#8TBUwL0&N0KYhUT?9P)het2bN(*3>5$8win-^4^1&&+yyO%$x3(N3dv?C=WX%kWO
zNmS+nCD>E0>P@siZ|u0?NkZm_Q1^-)^R4F|XL4EF4m3ItkSknc{)T3LqokyAMa_bd
zf-c<i^xJl*Wu`(t(h7RZ1p+?K&9+jazH5NfqWTyQkUGnJ=bE$;Bm?4ok=~^+m7B?k
zHtU8pfTiAXr0r#!u53S8iHe%g2q6V9AA>|U2-!ptjIaVjacTWTY<*k0Cj)=cdi}9)
z1Pn1{Wtk+|f4fBCqBO_pIubJ%#E2Dx5I_N4G7X0fF`<$5=(xhUS@kni0GCc}!A%(#
znEha`kCuAWpBEc!47&MfcTvN53>Uqc1J;`0exbTz1L8lhIA4|TJaZU}G<wg0HV)RM
z;D>@LC4yB871?-ag%+dA@86m#@seWC-9k!HEYp*--+lVmH>n6?@l%m6P_;`AVMdvq
z6g`|3@s4RUb+l-5ncIH?ivqc~%evCVWJb>Jg6;~^YCjOgA*S(g6xvDTSm~yg5eHAy
zviuE?O#+0Z5M5Q9-$Q}hr#&p^*XuK6+n+r`sb*l9X?agTSqB%Oawyi-sKdN=%lToD
zpU_9Amo?@iC)D24O}MMi+8R*TWf;5|B6{YCcwI+KoO)OZ^sqTb-OUUoK3b%j1GSM*
zD#zrNiN|e{DUZXq))nAAk&Y)D&RRLQ2|I~4c7XkJQ=8dmCTtlaS%<;%)Y2fAD4JKL
zBvcCYuCBgCum1HEwvJ0Q3XVNe#&v65x$t1>27#z7<-ZXHKvijvVwGzvomZI(J2|Z7
zR(S6eGogG)5l8qOV8{9Old+yz<xUpo0DrauWrzwg9o<u`a^qh@qT}OZy|z)2ME6#q
zwYGM`*WVuwwd-G;@~fIk#!`&FhAEkNu(;!eQD*+T`ZY(!dbP3Q%BEGh51axQH``yR
z*I!T1UQXYrEQYWD0Pv9iWA>R(c*Mi=3-IX;$9Q{5E?d{0PXQOczuw(L#hvxE4osJ1
z>@8eG5>6Ff<G=6iz~#b-2-4y#;Ua9Us_FRYGn@rymXSPU(Y-Y`Gg7v|d<G6rJwvvA
zMtm^!hU#Y5#UB-foPyvt+VHirevE0Zjk;BzHKRP^O3%t9fr4s+Z9CK`bot+HEz_(H
zKwt(K7P(rmqJ0#I6=3bu>_5HAjyhr5F6!`I?J^=OQF6;wUY`+Tn=!Ge!$QW8C$9jW
zmfGCdSL_l|gq~rRFUUzercW{Ku5<)YI<}k1puG97Sk#W9F_;Mv^^gG_=?R3jZ<GiV
z5iaW_&4<Z6Tm*nj!0fax%D+(L8hMgX6++9t;3l(DY5Qxvxr7~?!Jzj`>f<k>wy<F(
z{RLRF`=W4rvfLp)%O<LVmMTr4(-6ffb~S&v_2J#mtSbsc$kAn=t3rEu2Xjlh)HcKQ
zK!RM5kkFkJO^9|+^B-d|oplm9Imxxyciw#DOjJ8Yjce2Y(*k&|?(ao=8?dCYwY6@f
zJ>6RZ?e*iGelJ1HF@kI|=7P=Aq>aKd^|tw4;yeZ$<xAdaoOl6v(Et*)lWVn#h5c|P
zYzN(vB7>k(8&oFf{TV`s8m;=jC+|H^FFWiwQC~loCe;aKTwxo0sSo?p^MG<RyZaFU
zZ?fp@AGO$r6%{2L6TU=!u;Sgz5%d(Z{MOLsERIi*_AXwC=#`HA>A{Sn+3(pavv?GU
zRGklbrIo>!oW8&3Lp?+H*=esoh>7r39-mlSs0}4iJVYGPcA19;_2fwWn3KM^dHsNB
zk1rV*p)#UT4*02dulTTbBp1tf?NqXmPjNv|2^Px3Ccy^%I)1I>YJ0xb@Sw1{O=Mo)
zAk`HW8aRHKDMSxI_YBry-doltlTvnd1dv5wzopz@8X2Gn{c3JFN69H!?_G^5E}M}y
z&otrLgW22U%dKb7wkHp5cvY(X-$_6ToCLWv!@&AK^E-N@Z~<8@KtM$Ge<>_{A73^w
z{O{iA6B5_|aaArq`1kPnKiyrNJ+Gd%Kc2SwpCkAK`7yvhyOL+TpW2+ht1XeDvH&}W
zAi7`qrvCfR%y?||9veQ*cW0v^t4<cz93}D(RBRie8-jeYzedx7pjDM>u6NfHv^B(5
z_l~SKvJ_AkLP8?MB4E9kaC(q2>6|BbC6L7kV*e~UdO(9dwl)G>7hr;7VENe_&;)2L
zmlx<|5R-IW?Nph&ljNM@BCOQzO??9OWhbSkRHS?}rwiT#1-QiV4SW$XaZ23fK*6hK
zCXT<SlyrFS5dQ4=?OS8>9$*2oI6HYv!bnJW_1j_C%Yq-rj1(Lo%)ipNsuUt9`BnPP
zJu<JfW^{}o<71!;@^XwOHw3K8-mfOsNjA44=JsXs>cOY7g7JMo(%qbMT0q*R#VtgU
z$q-Z7^rNFwBzrN_sKw5l3Kyg0;NT#ziTXZ!jlLC5d02m7bC=AcxBfJ{qSWSF$G4p{
z>kFF8B|6SDUi@<hvd?nF*AtVaILpv#`Cwg~Ovhut9n_lyif(2ZvUtIWnwk(8a1hZJ
z)H3C#yN9?Zl+4Er+Qq@R+AEQfT5PiY0f%JXhWe`q{dE*aLJs6L8vp6ioEsImZC+GC
zA*WB1?mEPG+fp!-Qbwu>#o>>ZQ_`XD7q?KQFYw*DbndbMzui+8v8J^Z7@I*+00nPS
z(rEss$_TI>MLRuA=10=mgcSm`Irr9Ap--EDjh}E9=f?a7;M%RsQ#?C*SVo-z_z_^D
zpN7z%d$Rjm(;*o}CADpYL!Xt3VZn+-R5F05ejrqNL+Z3p?Qmzfm;$k^Y;)U=V*y)%
zGoL$fK7g)NmfhIQJWE0um(ZK98y!HZ2DC_Mo5Zk!?dR8tc4=iU@8cM9;i!OcA;DUA
zugfY?6Hs#_`_?-hUd)d8e_zw>hVRXLMZDDIj{loV`QFVS-ktfp!6GKUW%_sCu6pPC
zZvpuF&fgHfH#!#p8k*hx4lwHcZd=!UA5R+p146vzu)M_>86F?_NnQwIU@3D_c>(cW
zOwwY2O!D9$c&9y5gye_IyM2`Y_%5Eym7<Jh#{+X=Q=gzMuJrkW_s%&;a#hq;Zc(r_
zqOl|r3tuQeRCN{*?Fm(fs$aVr_3bPR(1_ojo)ubEQ;VFx#?_S>rhkTl;qs`yV>d*!
zIT`=)(Z8T=tTrZqqS!uT>}KvhH@RoXrK}9zqTHEQRWQBJN^24gb|lKu_*zDXMf!BW
zHu_}Zjs}}j3-+&6H0aOGca3tlo5T5N?(k%1fB!YU+w<$62?cRqc5M&yS!IwD;JH9<
za-Cm>=Q6CYM#uKDa9k94H6ojHEH-++kE`!?5gYGvSzn;j>*!W+nwSk&Z;q%H;CG-%
zPQ-q&t4N&E4H>I-Z}m;Yeb)X=pNI)0tAO&Vjsz!v2oablF!*om&TeSgw0CxPIu{z&
zY+3>x(+uAWg60+bN7+x>DFaNp3qM4w3x!i3%!Dzn1aEEmrUoCcafkVgP*z2Xf+I<I
z2UGt@=1t1}ZFzcL+1HIz<2PW>Cmp3AarJ6o!QB(Gsn;%??k3Keb9RifHEHzK1(^&}
z#dZt+kuIod+%2Oe=w?&W-HrGe-ITg6Xpd#3c8Ho!3d@>i2{<=_rg-Y8xiBH2X$Ypg
zf%TO-U$#PgT%3`|M>C#X_#t%~4#xQFlL9*6swMKJ_nj#^2F5H`=og{GpW}Z4^O>{p
zD}h9+IZ*av7_k4H?4~Wq0aR<N$4YIYSAC@I51!fx+z&PUibn2maRE8QONdcq<7BD!
z8>G1Xb^0)SdO3Ts)B2_cTEtU=&`K)E6V2f7S)2i-jjA3;P9)Wpl{?W0;H~Zw7c=-;
zepK&4h^?5{{rqen`Vo)q>PsZB{KW~w96IiIWy-;NERl2+1-13&i;b3zy-5DnTugP?
zJPy_Fu|PZY0=xrMJBGPTqX0<g1qlSu<zDtLcK|5$z<+SMxA37yfJB!P@VaQ_MX;DP
zy7V#7YeOf|3)po-Fafn`Cqx13=jhEtQP%BZi$kwgqb~uFyLFP&yvLb4u*gtRRr5|6
zZ(&Y58eYC=<<?iUgmZozhY5?sYyIN8VXQ;F_X*G}YpIHlkDpw20;kMgmBD%DwW(~c
zJ})9{INjY#*+`gG(kl3^Yr2KT)evX7b|HcS5(w`wZ3kOrzGEh0iqV@_`sxYRkMUZA
zpt!?vMQ2Gq>}W{M1WDTS@|(%ZF}532;rM=~oH+rW)i=vJqDfjSM9-|KB4Zuno%~Ma
z6F|h$O`w6xGf6KgW?bYTE^hulZKM<%<+8$bg09k52x~7fTBi(WtQT$qInkU$GML@w
zk^ghCP~&f!{n!azzlF86wb#fqkJgni%5%L;ce@ztxz?oAkfecIcD5Rhng^>3N>GS#
z)5wiBu*xYAq1SFvKI{%CO8DM0u(U7JOm!@w1X;aoWLAi;Y3)h<d_B<Cu5%ntl8e>R
zVsjJ{h|_b&c#R*t)Dc+EafzuRI2Or#)rfnX9NYy%+&VCanv|O{OXVuMy{kGYgJTso
z5&;#{?K6*3bQw{V{Bp5-3@D)jv@&ZMb1Y{-01Di0w#klacN1_ercV;1ZJ}P8*b4sG
z*l2iv4Fs^B7--a~tD9?U;PxLJShKzEQ!rsG<K)q9e@@wo2WFx@0?N4UwTDMp-q-ue
zH`|>)yO3uFQMdrw;puztXv*1#*AC!<##)c`dR4wprbD<oFCb9e#)Am`r!8ClWdX$>
z2`%I5%c8@<0SifQ$<a3UHF|cTo7RFZ;C2Qor>CDk!5S~Si8I7)9Y2sQ2-E266`XWU
zrxF#yj4@&FcTa||{ZG6WcLWqYxVK(Z{S8~2oiN|QfI@LNasI^q1*Ab#zt1hjWj!4o
zjVkR(9<eR}ae}K?Sw#3<X(g<rk4ew2!)~<T=70OX=RGp=9r??7xVkzLrQch|Txhx9
zQKR3{TlT?i=j*fKNTe_KpVd{CsLk$8GA*|JuR6lhY>A$2_y&Vlf@dp9uXaoD3?9aw
z`4ajUD#Q*-4h+8rSBV0BdGt;ah#)sDbKt$f688GmO0pWok@e8rR5$wJ_$YUTR`e5X
zU+h5#T**%oilgyvjRk2MU*2mJeD};*aC_!k!p8c+?q)^97~o>BJjrU`#jF^#`X(}4
z6y11wS{Av@b|EmhRn25E(ztcDAjIOG)V5DZNJ!t1R3;%O?@X{(Teu+%Z>j9zXfV?)
zHqGsP4~2s1G%!HR`rdZCY3F;ssrL@I^h7~r9?c}y2iR>f56}pN=nDa_IuA#V-=Pq;
zRGtxWa=0+vpP#`Bb3~}{fakV))}I#;fXe%ytRDLsB{v_7wLkI@ChG!foXVvTWRP&C
z{~uC!|AR<*;DSr^sSkLm<BuL3JsRJy5~N5-1Fi8A1|2POtfU=;g#uax1W-y9yq4|a
zJ=O_J|56__I9rAdaUv1XjvuW`yM(6BiKJ7>4&ar|j{n{JN$%D|3>5<)nh|xq^58Nv
z`$-%BR7i1t4x1*1I=XD3(PkNN!GgV^E5w!AZF{GD|9<6c5eZ7bMZa_Ei!I|~O`Cp=
z2AUrZWz{q_rulCGv2tX4PG1xk7gx&!6L7qpQ}LcTwFEw_wwleV_6wCgPU*m&2-*D$
zBis{Uwk<2`A6NGuJ};26!!{7EN@@e9TNkWzXnUS`&-2ulA*ehK{*aH3C9@k@lQC;)
z>V2pnEoc<IyxBN;y&n<K47?pC-zc2<sIaDid*f)WS+79k6d5rJ6E{bhTofs3Rj&GR
zjDu5c$QYE^9~<`Z-#XBMLmucoPj^VPvW!IQqoaulpf0$h9V_%W&Rlcbu1fXYbid^S
z?A21vc&u~3t}ZR{JDpD7ugGWI7H+OHZOlBBFx0+l{0LdlTxDd`sJL6Y#KS!Yoc0I-
z?d|Pp3&`?c_W{SLfu~Vs@z3e~%}yYetn;_a6E@D^1yDu*!D<zG6g4A5gbv?7x42DR
zxTw-^<sm`eXdb@*GDVes%7j5!Lm$UI_g&C2AdbDa#Q-~u(it{457uF0zP*-Djy}a)
zyQ(h1g#M{TzpQW@d`I_uj^<Hb>ZUc>c1c<30F}oyI%y~X|0y7388Nxx?+L_hoUaiA
z9k9+(^K4LkD;B*DXe2w=6lYz1eX}EGxFjW@vG1=COtz=;O+O=|E6!{Uu=@e@7?V@>
zNf!yGzuJ_t<rRv7jzL}8^~i_x<c!LS&sds*7Bz!H>jChh;!u42ZGY-8vyxoM?##LZ
zXMc6&86spMZ7K}cIv4dU%^H{$EL{AvNl-Cpb`Fg=ofM8xUw|T<GC1+%+4qV>1EYV1
ztxv?ySTH-Q1e(N_c`NpS<Aj_Neex7leJCJP4Qc5vjB)he<#Y<K-JAeO%O*cPOzf=p
z0OlOunXxCciyNE4q@^f~pU^{hP0P^Gp@$;!v+N?OzO=F$??vI^v6r<rZiRuzSialf
z%R8E0=8wzyN!%nNOjfv+im`@#i`+lu-5SEKMry~RvfP-j!c2a~exW&Pt=*Xk-EWv*
z%n=fsuxv{+`5VAS!GsKpE7mp@bj=}Kihx0uzD0gNb|c~2V+ty%_|ej!R2uIRuPt97
zsvXik;-sn0T4IDb?aCjzvC__Fo_pG{i`Z)5<?r$B@Uc?~iX8S6dV=<%<;^ILWhvIU
zoq;FQo{x*mRo|)~R~wGgPm)=R3K&T}zJV5jd<fIWA{@$2TQg9E67Pi1;#|$vMLc?e
zn&84c&4H7h@`9ebS9a5HF@b>u6N?9qqss?BfEVfpNcC!5EG@qk^IM^ecg@qNP+MR9
z^C|~-cIFmaKPO=ubO3nHE*$|_UZPbYWp)_nardF!lQePT|0cOM{hCT$iY2NbEx^5Z
zUuIG6$Md88vg-^e)BW#&%o`M;#%g$(?|@@n=<H3s*8F=C@cC_JeVivlC&8L#r|@ou
zHJ*kT%yav~FS|gM6M<aYVFe=!erZoR#(${#SXm)A+{aDXmDMj<g7Gc~MR1qsr`EWe
zlCGjZ*RxUYNuKxv>L=O#Jnb_-mUe?P3#X%(%jXtNie3~$eo$8=2m!#MH@is75)EFw
zjo%Z1N^))8kyno;ZSaB3{0jLC6+si*Fal+Cv2F5W=_VM{+1g_7r)tsM#Dqc}>G>F1
zM6h@(rs{;G$}J2jQZn=WxG`TKB_}E-F{klBdc0r9SThcMN=>Q@qyoJtc}%AhUGN;Q
z90nPNOvB*Q<sx*|<)v%0nr!<r;yEAC;Q*TRchWD@)6+c@Bs%Nsf+e~sNY`~{9u%7s
zI)7t+ckBuQD$`Alb^{=)@?uFR>1Q_)O7HI#dvbDe>ChV%&pDh#m|vs_Ds)ct@JIh*
zl!pTdp?RIN4m?J69$y~MfK)yIsn0`o<G?X&`R&_n>2qhQTf3k)Ml7ZZNEA&Nr&fN{
zjvp={pbU+WEVcV{#kUnRgz!Kj$u<bj{-5h8PgkmHMdRlXJB(xckapY$W^U4b(_F^x
zyW|_8ITcGpGtn_CQ~qo}zYn+|;F$ZdMSkM}CfG*wDDKJhj`>wt{O-_cEP3xfB0=0k
z@7VGMFKJKbhyb<?@c)x?9JQAP3mHMgbr)_>cArEHztixMxA}TJh)eIq00W~5-?dv`
z|AV0A;rAWeb?D@%@B``L2lE#ugyk-ubP_HSe%dlp4W!?An>$%R!F{K)h~N_w{~Q3%
z3p&3NK-jpfy?94eH7dJsll35s|F}`|PnYvZJucjst|(ch<6_|52d6Ca#qE1EUVuht
zWNHe7<<C>sk{bwIn(Z3}4sW6g*akeZ2A!7AZVd<1-2rtDV@Hn<T-s8s<_V*Bd1g^C
zy9F(02SvxLZO{^cMot?=0pw9YJE8q@5Fo11XOx#-<yd=AS!F03_nX-b_1-|>DcA-w
zQ^xysqF{g~xy|YlP)-XH=%E<?r5#gk0CjA~MC!QH8*?wLjPxCPT+W4q(7t;}dLp1f
zBT)9a^0)tSLJZ1VIMQ!$1ZMtM_gTzMBC)n#bgiMF@Ro@3Ehzg3ALz|OQo9N5CmaCa
zzMZWt*Wj)vU}h0vA!F)2K%C5~2Z7W(cjsdUT==GI-%Bmakg;K17VmV-e}(%rb^Og^
z874prjMG?LS(SI)z1L@>v6t{uG7QL{iF)eL$U!l+9bfFTwyD4pL!5vTbzCeWgSIO6
zId{|Y|5^e1<b6|+89%rMoM#J$ZDGb9K<Mh;Js0_bz2q|A%jL+OCjY!O&~k*!**o#^
z;%Z^~0>V5W{ty?DtTN)n7DY*^ntHLdzhE-LV<fiz{&&hJ^4N@A!LRd{q}I^CpeLzW
zbFw=dNjQpL1_3qZ;MPT?pMd;q9)DVuNyF*E7Af!GURm|Y3`y`W;WgAKp1rc3F)wt{
zAY)O1hb`JK#R+|EQ16+gpvHCV6EC`B&JvXEyi=P>3tM0fTWSNIhLd7#fPTvL=T1@m
z1?x;NtJ@$Fs0b3MR7^=PFY#x>Y%r7Kg!6<cokNqf`ObLIO-q$wg3Gu&bGYVYE=+(~
z9)OkT<b^U^aMMmj#xA)G6o}Wi7-l|}(s^i(S^W2rb@Q_@iVcvT=gen#n@Xl0OO1MW
zT<_&NcDq;6NaV0xR_{isA1R7Rlm6LrEr4ynwW+0I)rB!l10q-@R8+Q!yXB^=_vC1)
zAzZ2Z+w*Z#ni(+&fR@`-j@H`R8WzxbWxu~Kpp*JJZBoNF@P=QRSdT6OBYXmKwwZx)
z1GrOeGSZp+=&?2}e}tCziNoAXIecCM+pN9(Yh-<C)noZ@zC_@jX^3TD0CM9eUAw&(
zt2b}7;N~A-+zp{E>>$2lFd9Orj4fjUpmjl(qyh3-O^{4&mMBn*<JIo?YT@nna8i6Z
z0#ML8|B_fC9Q7PnC?f8HH!~AsP8W@C!!Ev=`EeS+Xx+poEX*^&HPXCcajVg}*2%^$
z)d%!(oF~#ocY^!di>Z~Y+Xvluc}sazaI8QeF@vc1RC2(}Q%m0oh#?T7y<1ev%cT0#
zC8a8KE7g_A9>`HX6s6KIgAggR99;E)R^w6pBfys#pHZDNpxI)xDYExuQKXJ~@&C8F
zEnVfxcx!NE=T7b`A>}^ds_Cvysw&MUDh3@%z0#dQeZk5m_8B!Hoy|1Bs4IfqMJi(P
z1A71?i_gqX&X*L$X1&wdMX9ype<u)9TY*vYR=x29<cPJQxS?gD8furbTh9fZ$zCvB
zzS1uZpSUh)L=Z?8m*!JNn90W(cBmqI^PxFQCFg2G)KDC_$xs{(tx*GVMqmn7r4aj|
zA&E*)yGMdpVQE;$0|L>QrRx7PwEgpYV^7kzk)zt<d-a0Nh$R_eZWLy{D8Z*yM;l3J
ze6qVS7BxnW4CX;*U%&mFa}{+3OxMs+_;E;GZ4Jxlg-2U!>yhW`bmyx-Oy{5Po*67?
zn;dB*gb8l2#7cuXu<a}BB&Ie9UP8)!y!o^=1yd}Xs|>-$jB$C`B&B`lF=sNB?(?&O
zt)ev2bdi+POM6FGia973z|qpFj%=X~53<WY+&ipx3Lq6o%_A+~PBA?;PfD|EX_n1Z
zn?GsHWxpG-Npy~g=xmCf_i7gw7FL)kk^7F<?m4^*lCVPM@2d4Y4{mS&W}{Oy=gNOm
zlDqm9A6h(MwB4eGCAEKKtiXoAeAQCXR|#qsn#uH+gyR5$EDtC^4P6)%;C|QkwNL>P
zc`=bF-QR3~Wa~}m5~jwRsEgh!0AQH8b(>m<U(wdMv4DFIFfiWQSA`XG%ybO$SZW5h
zwtAl|fgQYwKLX#daj)jZGxmAsl|ZM9yZgUG>bH=~Yw)}IYGs?Umc$qCLxj!|#v5r7
zASToA`se8DDv&kViy`u)A>su@oo@mKdOaj}@(iutfQfkNs|BGtMOGXBa>Yv6yQ6{N
zn|4`VYz3eIC&H>MzY(=Vz_qR<7xDsf;*w~L;aT_lyu$jTqoT0q>G<$UZFlV6SxtBv
z+Q-&%Vo$&ue%7E#9t}XXuFSQFuW+!H7T8EgP=D%vSoJ;+bUCff$a3)mnuT2Qt<m=C
zz=t_)RMoe_z4lAFk7#Y;`vbCxvuI9bgp$ey8!?WY8Jo&VXcTC{S{A%=WLX6gQs;49
zgI0S~_WaaR!)gscemf31K`5WpDX1&lQJFyfRlLN?uFEzWfd$2;k~f4!35$!EytRM*
zunDtKsCkdVS2rL*`0-bN;A2kbR0>7LXtIIk(*6%jLPW~1TLBI?H9SA$_40-aBi9fq
zJ_}J;@%-piGTlRa_wtS^Btd0YgKki8cchkU;IkA|iiCPtBs`I7!%-Zo5pUzO-l&G#
z;eE&akuSgfZxRr+#jNw!AOrPnP3WiN&C?j)`ntMazP-O9Ms=?z?3bD2OrsD6_5n;H
zDG0|T7HH8GToJy<IZ-}8qEy5!e&7;D*URQ?gQ&@KPMS){-}PrK^PxZ@?lU5&$1;L>
zETKFFQa*oJ`LZ!U*wi#y#62)qCrNhjXZJHY2orIggA2`h)R&IPbfB$6Uc1pXB`$>q
z+UI$3Oje!=xz|wd{`vSAmF1KS)>>Ds^u~gNA<H#{@=s8qEmsEw#i&^iT2wI=T3`OT
z12d7@E?lZeac`ZT*!FRVU9*crZg;BSS0l{P)d;;!1+CGh(_-1BI!Jv|UW|^ZCeenI
zaptaFc7#Uekh1CI<b(~?vTo6QcUhBL)&~!`CIW)LjVC`tQm{2;H?a|lm4fs^BD;j^
z^TW-VkL>@i>~fz@*r%iqiV6w}2EN;WM^HgczK=X0LI0Phai><mf)CvVv{n5Y(waAH
zA`13*$A7%IblSf>`CKf1a-5evdVB%W<{ST}sO042K>M6Kx_54e)`UWI3O;hRl2%(5
z@|(op>77<p3$o@ON^r~DY*<vYcrs<GRV+<y6jexH>NMOKU1TuFTrpDw8W-U1|Ecod
zQ4?Bla?{TJ03y%^g3m2)?Yj|fc)E8IlW0m`y#c+$;&n-jddtT#zwCMl=Ri7_{7*V6
zs%Q(a!A`R07>4Vdb9Q>>GIG8IQmD&>(+9B&liFY`%K4)SuN_!W{3N;4HZ3c{JbK`d
zb0-O>*@j1ZUOa;JE<S(~LP6u%<5e{Dw~C;-u(BnSUYg}v47HnZwqhx0dq~9d#JsT#
z{ljU<v;BO@hU4Ap;qxTHZ9ta<D-0r{<ZiUs>Y)!C33}%VJMh(>+aDhN4ehw{c}ik*
z&MBtf=FClr+0b##8UCSKLn{7~V9#sB7>YFhz>!-At2fPtVuXl@N^k6yILQFP=w;jW
zIsx>gP9)TuGai3As4b%l9Lvu2=)1h~ikp}}2hY!YaWpo}9?-~`RC1T21{I4UP+bdZ
zi}KDxrO&WoAo*&#uB7L?grL)I=^<i7a1Q8*RkED!I;eTEu34`(b!0xh3s-+egu#e-
zx6Wt<uY}1PW)zvCpceOO?uo&)&7k_5&Wb0`L;TT(Y=<+HW}Hy<W-fdE(+XYDNG<Br
z9Hk?YCeo|PV4dS;_uZ`I&kKzoIbZ4_j!v5ACK;@T+>WIm_Dqe5Fp@i|lS!`Z^>xC3
z_XfDP3GR9&-Zx*Q=rDWKQLPrv2YL?#fbyK%Ovm$xvNHFyw|cvclzuE^<>Ux^|3d|>
z7q$BcjXNDQKG?^w1K!4)y<Bp&TQ4T_<NolO5ShQ`7#7EbPC!p#z6Ol;jtBV8v+w<o
z?zXnJa-S*QBD+r?{nXWgDd_7%D-haUEqwDP4gj6&cHZcUJSr}p+Xqp2oVDM+p*?MR
zNg#`C)tLZT>r|GW$P@^tlDYrg`&_&Rjn1ROKo1p|wrk>JG4vZm3CD#R0tZWF5*KKm
zI##CFAb*?Z=4N9vdL>9-q*8X8)H&T|F8*#1u(v`oK1L7p4b#l`?mYjic!sEm3x#g9
zHMXwJ2cM>GrAcMb8q!Qz9mcsYB^dlJg<-5D5XT8f_1VoTKZ(G?-0#2c_G+(M$;W|w
zUWs}~ndJ!dS{Nwon%&oIv07-W1!RXf-Yo*_H1@YP*8;~)$Ym@?)|B>TecQ@Iw}gD$
ze4Rl<J8DS^9pY#HPGvCmitW9f=r4UxN3W%qhet#Na3DpFQEz}S(Wur>PJw<>_z$IA
zw0C}3a|)MN-!(jO)sI48Ic-@Q_YC~Uz0n%~a9HAN4P-{hJ3_+i3;fpW*+)Qg^ckXE
z0l={V1{VXn;(O0>7xw~U8K;V9@Lm*rVaRdww<|f4ulPP=T9*IQ0t9SJdz7ondt`!t
z#L`7U8Z>b^jVxl(Kv_2NcuCA`c)!7fY#{OqGtq4>LQ#Vt1mgu@j&!-#aZi@*0;JS4
zjmk}@{%~}J-KXU3P&NJ~Sr|hDOVf=S{3|*_(DrA4qk%gh`S5Bt01jYs-x(}*(t%X%
zn%{vdEwlEG{!Un%H-!dFtA1OEN?W7Vo(K|V^~2?Y6N4m?)K~$O#m-YLg9R+0P_KUm
z^;FQb;;_hCOWRS@SjuB^#>N&waQ7AIC#_pL?E*bLND(dhgSXoMJls2vU3vH7$%M+{
zUi7KJk_V3y{95t;-xF`;j(~`B2ki3>EdUAqhw~@dm(JrSMfucQ>qCur1;tzY<)({R
z#qF@S)q5w~VF>-QC-$A@ztsCT(U!x@u7d&IIl!2B8{SKUJlv*yds&m&P}gd<gb7gz
zP0h7=JZ7b2FJ|ul&A5)k4>*5;uc*n{3xqCiN{X|Ii=!{E=blhD*tKaesMG)+@LA`p
zUuJQ;xdTTAT~T53(G9=6Dts3G#?yjk>_p@F%*{D>vI=-hUwNBu`l@Xqvlr=L<ML%<
z0^L+jHZqm_*L0A<r~4s+ADe|6ndlWJ^Ev!-dUfV4d;RRD6^phe{a6X?{}wHC>5GJO
z*IXn<G!o?-j2GDVhQ3n-KO~c$XoSPG&o2DMV??ss-%QvnwiPgzI1QAfijo{l-Vc9X
zSy=&Sc0fJqyDJ}6lY4)Yia^!S#sg<ow1Wp2<yzrhfs`iQMtiXI$^2LK>Yh-*Zv+^F
zjtG)z>WzEhO=G|fn>FTWwASMSh-OfXIeP5z=*uqMponC16v&01!q*c7BCLQ?fT>_v
zh?R)RJv+Knd-?9%S;NP{p_<Om*X#Pslrw^l%h-M5@x!K43rB5vTr=A`(Kb#^oyK*C
za(?nB%)%-ci_IWG=dthmi(EBVN$bxufexzUG=Rb#dl!>%6xP(3kcAm0pt0dKD>s+1
zsOPKLa=AzO*#PKwbRC>Mp5W;Z8CvK;@wMBd3}{wFa$F?TGoKV(5kWyg5s}<YX`F)5
zG7eMQ@--kDxU<PPcL`?As!|z+(m?J~K=Vf%?;aP|)eZmT)wiZ8z(P9x$>yJ}uGPKd
z186rjZP8T<&7`YKhE4w7D~*cEe)w3`|ESL*uB~Gfj!0~-&t+8qPx;4ITB|sq<FdG@
z?RI@8Uxg9G?ak-L9pG%;_VY?n0W*o_erfd4q$XnaL!_=DWYw?;tvs<5(6)ROihSE+
ze{W<z5#XMK&Mp1_S-uHI&fh{7{NEBu-UKFDSC*4G&%omC0RI~V7V_H?ekn6t4<k@h
zcT*EouIzzxC?CF)QpaP6$W$J5-RqaL%Kuew#l0ZEfKP$UD&RiJ5;su~X|!MA7yyWs
z(&dwpiPYt>?r|~m<K|xm=WX0POe93BX~+2X0K+?w?37vDJhC_1O#Yyqs&6kvS5#JZ
zIqUeNDl03iV!_7d1pibtl(B>NUrrUE<_fE)=#CV*%^@lKVYh&$ZyUotLSyYisBc)k
zpm;S1XHGjxs`3?r_7&*^kiU$BL;i#vm0X<zkI^va{^b_?uj`lxt^||2Rl3C&Foi36
z1dxjhLvroa-m>KcOybEO>)&rSyfA)%8FMs<4E{I2U|ZFR2Q)Lz&U%aHuLi*Oy<vuI
zB_$=N$6Ml^wkXf45N-yykQuYioL5C_7i?i?49xs8v4;1efh@&>lFhr>5{iLLRBRMs
zLw454V336AArA@t4xk_qQUB`v)W_DknVk$KcAw_7{JZOkXpX*tEuhNI<gsM{S?qQ)
zZiB1G+Z$a+Hm%SW#1O=)9RO4KTfmny2)fYo!@%Nu!sVZDc|p9a1qoL@XN6~V1hN(S
z?@Gu+$}KB=bwmdWSjGia<mD!JAgY+YIsb^eqodg_KA2ZTaQ_&uUZS>$IXOK=hYuc|
zx}-n^ApNW?0Rx1<<%lOk4srxGY<2^~1AM6vOmLdOHfL;3N>Qee{~g=0d+QAt7gP^1
z*M_WUb(~phOWjwjGZ#h&6~eJhKd4DA6Rx9JZO7U;IjJOqJVw(g#XqOdjQ>zqKX@7*
zYdda?YRTEtch7QiEMkxD7o*U>(5%*mt`8w@GI9NPQNQNT?AqRe1j*K8WrB%?QjM&3
zeA!!L8guJ?+hKjgUuF^SCWRl5-(m@m{1=ku-z0&~d;|a9BHrF4P>%Qgofq#qFW%I$
z{@2p}*KZ*^K+2W>^wABOh@WjtGcYK9OXhi*F?<ZG-j-yg^>6(dk78@NG8zrG$<Qd@
z$zmK;F}4o9saTj|mLQ2#4R<xF2JV;hzL6NIxd&3_;%JCEN8GxM>U=v(b51?&I^ojM
zh<Arx6MS#|5vEbH3K5qv@RP=;#XmWmqo6LGFA_ROZs1jxe;Q3%al33iVO9)9V((c0
z$OS_O@DDL_VNp*gkM;A;ILXN<ZyVsP*mfG?_B-9!c9-m(CI=wu)0VO4+^(d$8W>{i
z&0h<8po5}Ps6877%!8NW{#KFpu^2R)pUy}M&g(%1DAlUp<Y+4XkOmf+1N<j|gQTR3
zBa|c3$88#i)%ATG(+RBO`*2VKbiy9r$0nW`QLlWoy`#+o8&oflwFrqw=T*@W0JxWL
zV@V+p{OR-&z_~X;94{MeV6B~3jN|#NMxw`^p~#12g^3JHQMJ=WWS-(YG4J26GUC_S
zDd@Q`(KXa?d>rNXr*Y3Mk-q>MDji~ZJkWPnbo7})eF{bSY|F}m3KkPprxKs4-~IvV
z24z8CY%z}(8!?YADg@JIt2&Fd$Y(a7orm4-qKy99twFfw-*^7e0yq%ten9TyN7ONt
z^;+kpnjR;@)yRT<8<>H@<j$-q=gJ#k(sy&ANYgasHNtD7vZ0nT3k3C!1I#01MQuZ=
zN_5t_{VgINSP(EYI6h{QpB)vaG*QNtuTt%}a!?lt(hGnCeJcJ`t}^fif>wxIiBa-1
zzO`T-5oCmf|Ne9KTwe))9wenaJX~5@8n>RPZD{Sn_q8@v0T#c>C5|1kjpwf`Eheo-
zO$zZV=N{d;e0qAC#|n580p?>uhZrWlrv3yaulMez)))h;SwsX_%O0j<uKdqs(qCm>
z8Qx|m9zeWK=R<kt!`u1>wqgBN_mf+{v)h-qZpAzPTHCuFrD)4~L<gHG>eB$6Z(=Nk
zUxD=D8f+R#h6BxBP*29kX#+{b!H3fE>>o{7*`F2`KX-aPK_e6B83oEfl&TRu3_b%z
z2ndLqHq-v+=~sQY(*^pVtQ11}_s3(BIXJ>~jF8c8v9UL9Uto9FUZ=L_ySxW=L1CXD
z`#6X?93K>s==hydJUqy(q6NwVVHoUX#aTY%^6fB$R{JliF3dv+IUFu++4RTWkz^E}
z#BEQ=9tFvg#r(-%JEP=iTap}cp|AT1OiE_iTtM*}`eCEHI}mg8{QP`>{}-P%t2O&B
zL53EQJ@4<iip*Jeb@h)xeI@t20`zaHkxk`N&A|s!gkj*C<()bp6-HTge<`e;b+pvh
zSonJtYyd&scpQmxpmHz-hbPO!8|Fr^%X~P=vKv9jm-w&x#1`I}Wq~vW{XQTH(PLrl
zXWq-={P2ldWiu7V`=$R#{Ja!3(rsLF*o5@DD!hSt5ZwJ(!?CBX&X@XTWrV70?7ioN
z=-{DekvGq2jj-jU#unWe-30^n;m4D;quWzX6cGFDne<iYg({ZyAn#AgS;c5sZU;OW
zm9>MS<aPrGHbNhN6INgVetn^+)3$UwTZ9(p>78|^pKq#b(KDv(LD@*q#BHe`d8*Uo
z42vNJI3Paeiuj+hl6j1AH>Cun#Er`(3|Dp$jy`pn=V&9%#6^;9CAQHQei-U^TDIj$
zBRIC6Z`mwKF`X<Aqb&5Piew*3A0JfiBdp_yq`s0Re?fsv)WLR~>DmZM-K<`l8>V0e
zu>*dEY7eB`?CjV<)260(c}UH00b?WAK}84I8s#ap3l`BgEc(9}4$mWSNX(pVUM)Wd
zuK~{^46XVySE_3bK-bzNX&P*SwVKe@#5Z|67F&EfpGtjoQG^)#=3m?>L%{#Kx9b`{
zO@^xRSu`W~jcD3*nCW1C8({@&ScBbj7#*LfxJmP>#Darn@bJ+-k{}@gnf0_1yDNu2
zjtB5^62L`n<FMlp4^SYvme{JG$VSMke3FDGG>Uf9tq`AxJvYJ4A<QRo%>L?}mp=20
zR%Sd~T+_t95M6HDbSM#_2V)9wDgbOuf1$hFB05A88O=^5Q5qU}+mS&u0BZ|{iR#$e
zg-Ybei1U>vuk=%;QR3$Jlx4?Q{0!5Y&pvCDjwf6IP@~9N2Z0`leFbaBKFvmcQ(#?C
zvvEkt;5Mhpi3Fk-<(H2y1#=ZjB$elATWMsx+E)i^fodTaYj64f{@#_p$V<W70|8W+
z3|L~_Bxu`g1@T!c=L8C3JXJUnO{jy^@}~QkhDV%w+v0@P_p7xY`&t*LEhBZAJ#T56
zLbpjcVCf{nJzsLPm?uRt`Y(zCFnX0-(Z}ww6Z(_eU-*&GFbE4o7jSnP(hP;?cjvjj
zmUu4aF+@=fXsP}Z*CI1@Iau2AkujjiHtUTqOa}6)9L7beY1@MdzLEs;7aX_g<yeJN
zlS%060(XpobT9aqy(_4vtf5+_(b|N?UJ96iDms+Wl4;16-e*>X@`%UDZkYA`j~Kyt
z2$tX|2Jnb1N^NCs!!qj6Dohgr8Dge~&J5P_eoO*gd$UL;O06jh={yvNHL9&FV1{q=
z{6jm(-}#^QuGudOw2ux;a2O^7MJWAun>Y(?8QfJOqo;-_kS9C`KFO!TC}WS36?;V>
zsb%Ksh6F^B3k8zU2O$QDh9R|8WU=B$1HJ{RToTx$5dY~$k@@c7`xU&GOh6{$5r2Nj
zqtB%MA@om>XbAGtjMMb;QeX0a&EU!CS1xG3UVj-Nlzq?BhhE||WB&`xA=OnA_9ub2
zhC=Zy{od2&ripzqqYf?;xu+$)Ayq!bLEt0_Hm^x?YehvA#e-O~l=2*RyEZ%b1Y5u4
zA&!fjQ&qqB$t_^_W(obJB5QL}Nc&<^dECU@s+~2^hO38U8iNPn_!+CybkBJ&YE7Fh
zA<@g2AL=OPNei^DN<EMQW@HqWEjzX*?ue0+3gfhkQveHwiDbV4{`ZI^xJq!D$Mhic
z7YLtaW#TsbKpD+9JbGQ`l^|V8@L&QI2n)z34yq0OtNqC|Cw4ec`8`7tQLfy5(+qL|
z2|uia3Ebod_r6ryZ!N8jjkl+h``g=Q{MnGzm$c<fzu&E`kD~|jE5A27X(pNhu0XN%
z2#fGR1j9Mg`0MMKCnI%yy@u>O8VA^Crm92CXv0HuTQS)0K!bMIjA2me0zVMHkpDN2
zy&$$XZ8R?tdKe|)dK3co7*A~5;r`s|q`B=ULp?n;bwFR=(9n=MZb33gy(q5Q!s?JB
z(1Yy@la=&+AF)I2TA?YfNn4!FoJz%<5Ee9r`v6npqsCL0$Lgi|C?McO0yr?L8PXR5
zt20s@?D|Kt5WqRfmyhpPY-YGZqk(Q^NZNZxZ@*MTm(5K#Jndasd{2d&<zMA#UgoOw
zDJr!?|3}kVFhtpXUwarry1PM?Zlp`PONQ?5?nb)1OHe?8A*H)J6zT46>3VOU|L?s&
z0K?3jIcJ}}*SZ$bt+?^+LKu8S^baaMz6jN>q;HHK<6pZnx`Mt4pUngbwP{|~cy{sa
z<({3M{(~4r>pNuRhS3v9aYq=i%fN~L!am%1*jN@Bs<><0cQYsA5QodUvRHKOH9YcY
z1#-*w_akxTFPjG|*70E!`6@|S3k7C`5x<Y$NPWf9TlQCMhXq>2>E};RDW_>`gi92p
z(9+54wDde`%(tbYphbvZ{p(4{&i_UhHCX2)0cro6K49P%T*wg`!oGDHlJBl>nz=U$
z4D2i`6P&cQHQdWJtu*qUn2UylhN|n>hNblk`54Pe%r1^P3rGMlF}YVpMD;ZS^0Zz1
z7Do+pK0@0Km2U0%4->MDaw~9w!~`vRk+Sjk4NHvPl`1en4a6Xg>f>II5S>rNRP1Y^
zGDEVI><PY6wm+Znd7BnGR&44u%JHzM*gmsrjO4mv_??t>g+-1P(UUX}$4yJD<Cddx
zD$bcnF*&Q&aJaF<?tY{C=q<Sj>65t_LH<;aOk2U<NGcI#zB3X{kbTgylaE!$?KXBZ
z1|*=h>vqi@K6gLlJ232#M8s<k$a@FA&|^7I1Ug$QkZ?cESqPGsS`){=ZrL=Y9;4iz
zsSjCxZQTROCIiBBNi1rXIKyBq;x)cOEYuBT5_|l+B5d`%;7^^JHpmf|1vIUSn#
zKu#RL^Fmo-YBo`ktfEgo#K8Sv6Y#jNOKPvvfdUnWvy)S`K~+ZGug|wWyUVcf5(r*M
z9lJ?sXl@9g_Kc5I=uY-#lGJ7v#5ef;Z6>k>d{N(!G6ppJvNeSPPR+nv!+oFgvA2Ou
z|8Fnmi{d;zd9T8+o=xL{6khId>&f_46~afjC}^u%2G(0X3Gs@<41*d>*bRRP#lK{_
zU@$u&cAIHv9GHczl<+$?H^c0bvWFx7HId4*J5JxKejBRAlJSqSZCUVFo#;?|NFl0F
z$~#>AkGCN{Or5y){3hSpbD_s6cpU<mMvSWK>mfPSHe0E79vejgJHnzvV?Xuco`seI
zs{oe(xi3r|(p<XJ$x{ypDAkHY@4Ed`Oj_b+XXop_YMQ!bls?T*F-s&Bc>gu>ka=LX
z_o6fT`TrWVit~tfXq_g&fgkYP;&}{#xNGmWFSL-sb-%m>Xs6TC(%$afGC<N*Y)XPC
z8{#Z}@evIE(6gzOOS&zmdaLv~6eo7xb{ao2lLk#BCYjAU@YSD60u#<r1NM+xNvdkn
z5)Aq?16R$cgMh154Zlrn+sQ9s5<Zrz?75Hz>*^nE3WrG(1jA<4;$cQS=1gl(Iw+fL
z1;yyGo%YM^J-iI_89T#=sz^uKhT&3C>Q+ZH@A_4mS!aq-Xflwu=p*IB8Af3<%drH3
z2(AC%rHZ$oWdb_+k5^@VwV^%1<?W|7q%EH<*Sms!Ju8*9(}5bK`=PEZ2dDI5Jee|u
z?s7S#-|{JxCujU@lJGDb?N$5x8;|`bhu%+n{2rlTeQJdiO{6&ig8)Bg&&2}?)$Lry
zXp=&0bsBq?E}3d7Gd{<>seq7O=1F9PWwnt<>3J$5U-b{iMV8V%>54p>lw`>3!dcNU
z_iZ{wM#g@a71?@Zae>Kv-p7x?`Ap$=-u-$nB3ZWd=@>yB1ZJz0?7eDJiM$e<uU^6>
z0>!#}6^gw<>?Z|H0U_4ak^FxS^d`Vu#BrLsxvS$qd;C*zJj<zr>MuNV{X;_=XT7_t
zI~B8qiwkGMa6rrJ>oxx4HU_D~?Tl{pw@wTQCKWq1f!_!q?O^>Fxljp)0~K@(vBx$4
z>XSnOM+Gxd8cl@9+C0L_GkJavmit|rYv}*-)GYAm)s+sTMBRco4B8-Fq74)14d_zn
zasRZ>39pI^OuC?RM`d&6gCjan4SP(^EQQU@%$}R?wRrGC+1~2>+qScUdm(B2+=MYj
zbd#>2^R8HTw%;}HzKeJw3V@uY>4Lx2zb|6;tii$46WF7c_$xSh+s;_)$M#~@9WZ}%
zy^59J_^(JM>7XKk>D<s%CLL^aTvM8M%S1cc^k#OeV-f&Xv!AnLa2=<!U8ZqRxPn4l
z!vXqrrD;PDDv^gmXNb^|H62@7GEaslbqcE1YaDN`=7oQO>jal{#9ygQ=4n)rA2NeF
zIy2QmMuTXi=zwMggO_k(FC_-q*O8sbv9|?SXGUjVT!E~ujSVX51|8<fD}HU(Pe+1!
zut9DwY)c;oz*EWN8f>@pq9)|t*!RCjbGd?4!ujT?r&J9c^WF@CK<J5?wQ|E8KWp4-
zi^@E%8_k%BL1m4E`!f?@xZYUU$5Xw6ev=C)?=_m}JCvBWd!!(?fp0XYvZe~zC5~h^
z|L#o!bfX-KpSIeP0)B*nN{k14_bFwTiUe7{aw*m^`Ce`#6)YcRQ~!{{Do($rchn`P
zUP!HHisti4hVe;ztLNK0#YCeeHZWxUSIrJt4gH<CDCKajSQXe1Gv{DkuOHY6%>z7U
zPdtDCJ!uO6zvsqW<fdzJVsv4cvY2-t?*w;jClbG~j&3nz5m8)OztJd^C+gMi*j{Zw
z^Z1t9PVs_4Z;mVJZu-RYZNcvJ?5u#&AUDvZPz=G0)Ede;o4g>|!<biupoMk@EMI_Y
z&y#l^5O&vr(JOFp9LRG|aC2;~U2D^ixjRpV1$P>@$MP13R~IIJN9ldb-2QQz64T`r
zH7GeHmdh5GoAHAS4cG~APY}s}JO9n)Zb^Y*zUrc#uY4idOXO|^+{;`%g5zlPT)dLj
zb{{*=9w+#qA2taV7`4;AjjE)M-mbQ|y##)ow@$<s`?CfH$sbkaCfxr-iOJ-E)3hLP
zoy~~|8M{}b2U#HrA<}f&PD30<8I>kPwEZ|?lqE8-kp8dvs>lsgp0{B%vIgbR1qB5n
zdaH)R_ssyT(K7P^mu+yaX<Om%%B-k8370Se)&O5Iw&dWA+m8kKY^^MrB)5H)ZSu)&
z=){{dl`~Kfz=PT=Y4;Dj{xtJql8psQOtfBgJNdmcc$sC&?ScgEI1ZLZ7fZ>mamEeH
zD_cvppYUc*5Sp~D*Le;Iv;|@_5u7Kg4BE3xtRWiolFb=6SN68{6Tk5aIC1wyKks#M
zyVHi#1P>tZf!1?LhEsA5-{=cC6_0v{_az1;f(cH_7|HLN^`tSuK{)A=U}UUBthy>>
zug_Cb66dFqPTJ`pBcV^Yl4O6Y)looJ-u4o9?0!vcou5wa;GV+K*3vJ$a`(LJ+V;D@
zA=xTPaR#PW&CPo$oE&w_v6ZI!+#F{KJvZ$D_dsW{EO@Q#dCW0NwSYR=<_)OevLY1i
z+HYwTdxVjQNgiz1;02!0+0KoPK(7F&y2h%_&I-~n#Mt!@u{%-8_zK_0UI9}FAk3+(
ztVH!^Q<E;o(N}Hos7oPC^l6%hdmG2<*j+85zN<2r4yH>7;k~UFm!T})iwfe!3N-@&
zLrbQa4iHhC=2FxwPy2RJ*twcwn}7vV87D~cJV+d%MLYV`CX#Zd1jJJc3FX;z_Kq&*
zujm}*rdXj}5zI4Eebj{xiGy5*=yjtFqM0RV?e7l@2|rg@;GL;6$%UpFm_X|#R1&nk
z4Z8W~TR%b4-b`hLsUoV*rF~^Jh}HG76L9STf9eB?%4L}^SaIo8&B^`XZ~q{hd~#w>
zoor=Vxt4$r^v%30qS(JgF2(ERLw+Iu(mC?ZXSc9_4(9JrQU<q-J!_*M-&t2$Tp|Ds
zXpw~W#_iv*qGPC_wrr8x_wKqQe!^9bJpbT`K-kqTe%*f;{D1XlM=7D{rC{S&Ni_n^
zD4I2cBny-lni2K09D!`fvMZLWS&OGUek??xA_@`hQ(YP7S@IsKC&;Pw5oqmn&&8Vn
zK?&DB;~6~#;qQObkYPE$lQ^}HXeHQbb_<B%=Nt9IaXT>@ktX#r!-?-<8&7P;u0*Q>
zq>Uel<9y_vp!vf<v+i)F{BNj6f9;t3!FDt=FAj_ZvHJ15AKJRsQkQn6O~1?dZ5=;~
zS`lgGMqR}7gTVInHOPoWRKRU6<MN%eCW_aoGh=LZt-VjPg5mSQ@8RGD2l3k#+HaMO
zdy*QNCO`1|$YjAmVOfQy<PZ7itNOkF`WrcP#TIqi$-=@;(*AmFUVreIwPKx)+JbOq
zf1)3aSmM;-Gr{h1tcn=7h7;=GsdO{6qIxV9*?f1MZo!92wHn~F<?wlj4y!vT$Jk7g
zS|c+=q~mg6B;`HM?Y$WEPCR-D{w&49i%d)kl<ReKIio|YH0<nXY|Nk;mc&do*9P<M
z#j>m7UPq?dEO&Zgs;BsSl8Pb)x!Ndvw=Zfq^JbsxzgMRHc%FB{EHt^aus~HbDe{`D
zd`c#9bTgXd1!sethWPCCbU`c(oUbCcD)WMqbxh@Pr(fx!0f1}3S4<OL(){TvA##6?
zRBdS+>a8HCx8=a2tMfaqm{Kpy*5WrKZ0TXl{XO+OR>)V&WI+PaUlNT#K_Kh`WywGd
z(NX!FaY9h!_thsz-`;(Uf_nmAe305~LWJ4j1g8YzcXd$qd=DI3n`x{!kWVJ?JWqrd
zM4hHdh&vR({|o{>oc14_MAtHQ{LC=|jAiT^1ifEvmfZ<p0_f{AQjQL$iH;x+D4=;w
zR35g9EA*A60)#0Yk$|TrCVA3lb!z8oVlTPO5>H@E46qMx?Hx@19rXcW|MrzLdI$t7
z$(R@`s#B{26pRfCd*><kkzSRUD?RJGO{xl$(FitbPNCY!PGWkw5HD)``A8aLNVlk*
zb?gs$Owjscz}H`1P}v06faeEydH{Z0^-$S47eE1GQM1Y{VJD6hle<Z?GveI&VLHps
z2&KqSWbp#xfmyESfH~5znF%!S$a<tg5+}3TdWoBDgq0(Mx;J_xx47fzp1b0USvI{I
zPC!zm#XdELzeBT=SR&8uV9I)1Eri7IPse9Ut)ZRtMf0x0PyjqrZAM8=b~{!b<B$3G
zbR<0Ww~nn`qmwIvmRFXT1h}i20UGXi%R%i0y!SOY+Y_LE^L}ZT_E1#)Y_308N!0WU
zSyz6^mnxLyw1F+euK^#5wFdv``dE8(JnWOa-DF{f+t2hRG%BmRkkYTOP52e2CBR0K
zfSkej8mk{SCWg>MJu0U^)Bt8R@-P~hTQ&_Ph`+>En2e{^k+wGf|5||6T%eVMAI{^r
zY6oOKXfRG*0qPB=(Zd+pKiC=d@Z+)UIFXb02Hhqfk>jS7U_=>mX6#B*AGA&0kJeU{
z0S=94b8!KXk*Ii<P-|1GRbya0xC2<DTU$kR>zkGDDoA;TSxhTd901O@Qt4Ga`XS&<
z;NuxcP?{9sgMcO=Q&JkcFKntPvha~#a1CI-$lz|L32qEA47zY@8PSHeDaMfbYVf9u
z*+t>y30NLxRZE7<ksUX2U8=uxxU&Ux;ezCyyi~EW^zQLlDeTj%XDJ{M%8BC7Gk~W2
zCvQ#h?>Bv+gfEv<Sk+jlQYe|xd9iwBRNlQSYnY6=ZOcLFYW$~2d3$uQ7B(LpBJq@X
z_e@H<ZWaFq)ISXCPAXgTf!gkMKT5>(n{Z^sO1*V_X~wXLU?mZr%^8*7%8M1w?~)da
z<WK#tRORlH>T<lx7ncYU6^(UGcpT9P3MECe8MQw^23e^?Kkp1tUT#iF@eT&1pv0c+
zA6#y>p97GAP)s1xIb}FB(#AZX&OL{{p}zhDA*#X3VuqSQXMm96G%&rD2U7cVpy_Hh
z&3eKkrzFa6xZzxwr*~*t9E_$glWDxWsxVqYfa(3UkG?OwKV)AufA1fPJY9r4YUGbi
z;hxmtRKNYoiAfdP3+{UvI$oaTFBW>T2s(U_>an-VDV1#tJvmOpIoh<U_G@tXOg#j>
zacUzfq1gxcZkguJ7bY+xiTz9)pI7!fZXIBNbmsW^g4DNjcVg{xlwyb%YRopSU;oYb
za4hP8*vti!n)4B&&spai;KmlNwXZlZ2q4VD4Gl{Tgy)d1TO`rX^uYyn_7)@M4*|U$
z-{(1NJDlO`QQ3<<fVL}gz}<cS3W6pTCl!xtr$`;gE;AJkmUdQi^(a>MPJg99uclOJ
ztSP3uZ;`_Aj(25!y4oz-)59GtjGDYUb{<u#&dBfW+LVhEq#GH6DBW9Ud{tR|P6a*5
znA$)$w|_z3XL=ma2v2N>)d#z=4}SWbH;vSjR{#dKwJrgc>vQk&UBCydomfz9R@FD2
zwflOd(mLQe9q$<$36So_EnH_0{+K_xaMv9<%g4RpS}ese^$t&hL7IrydnCo6&Z)QR
zm(?|af8dmf?{j>pI8WrM@*CotYkAz>WRcz!4WEMPIR}C_fh}K~34g>{T;WU1mY4Y>
zLmr_Cxz2zQ+VG-Re31RxFG!kl{5N>p5WQ8zn!{$<g!h{3>WOa^Q5<ir%Y={V5ULEe
zFPfsQz4kbs5+cFMPP5E))(5=QFqBxLf6Qawb*QW9*zOIiCBwg7K7WoZc^|ZqH+S<f
zav#XV0^)}X0&SqEV>ZenFh$EAX=(sn@LlTUaY#(-+X3J^uwV%Iw;$X5SLvqul;`Wh
zpkgLcAy2^g?J$TYuOlUQiSo0Cho*oIIC3giqPwWrhYBGLieJcC&Uh@x7wj5zpyU<8
zu7%FbC_%R~`WlFPdJu@C#ZntzqG1k572(|^?XPA_p^pYe)Yiq-*hr>!62O!Lz=&_`
zc=kKD)zw{<*iQm5fW0f<7S$}7?qpK!OZ#|6#dq>GXe;@I3dfO;xtzP~hJ?Xgs5TLm
z&_^nXPu$e9ab-AS$4Psw=Zl98NyK7rwn4!JwMPgcPQD6z3ZEVQe-81&%8IcWI8y<M
zsJ?^J0OtcZ0X4L|rbq8Ar7AS-TsLX-R_JQ1fi$uW+vcW!PghK<fBWBY?Ub};92Bbw
zcBZ~@l2a_&@+b%>SpU9*BHS3gt4XF;$h1FRs6+h>#9Fqem_4b_C|U8`KA2lo0j+!I
z7ZiELhDv0rb9CTFTv^~!Ey4Zm>2h)bn{g%P(CV8yyh?g;>gD~_9<YkZR8PDQ%nkpl
zOl?Ku>*Phu3GQZlxa{ZapTg6m%I1h2mRkEZ>jCb+GmoM}!lWv@0fZn=Zqq<rfV{o3
zFeqMi{!36(v5FAQYT4cONU!9HdR1PUD<T0C&_}$kM3kAn9tKj7kqO-&5az8Ge*$3}
z>HGu-Asv-gtg!D1xf452W9wjPC@Iz0Lbdwm4rN5B`fTd6-^-?(r$@T3#%>u@X`ZzJ
zU+*w`Ub)lSB%$fJ1?QHYtv;AZ?t5nFZv5H_v1u)nJdn(jk<Un)@-9Z{{xmv!ZvOyZ
zalkHU9Xa{7&S<HMx&(`=(Zr-@*=6zyV5~fQgkr|WXe_h%8`47x0^e>%)5br3BHJ%J
zbmQNN6@q5JdC}=`)2HhCgjWUq>;GDB7zJR0W^8s6L>v%lM-PN^-6f18&HMX80k&>3
z4N~Tb%m-H%#pyHG)b)S5gC~v!pxL$d$%ewT1~VTi2onyGDsl+caKXl?frvd`@ADpe
z;K%?TevFmc1vVycl+;W(woWA)x@BD!=H^F_szZXm9DRh~u1KNGHD3&2KqYP1%3%~s
zMow;_ZGrO1q*4M>!(eJ_L8QaIF0OqO%MSE<`Hb_N5QDPo-i_8SX;$ia&&>Q_8Wo((
ztLCr3JeP!YQ#t+qp8gV>CfGxW)QpAIr-rEPB@az9T|*P7+?(S4DR2<%!QX3ls+eUi
z4A+4sFv?Oq;f+t$y3ldrZJ_B+!Ez>WK<9=y#1(<;;3?APakAKoLOhU3BfAKRU?4d7
zhTHt{?J$b_a*{p)UmPCD3L2R1u>c6W1ypeR`}^Tr@3wWST^uS`YKPTH><tY`M{R9!
zL<XLN`CvhK?(VlY8#fJV3~#<`X%$*DC>%e{z}jFUWY&(EX2*#<|NR6+G%l{K?d38S
zW3r?6YAUj9^5!cP-4BQ0Q&WR6K@5W&w3LUl{GGF766&~;>E<wXj|LBir=+I5>*aC_
zH6$J*DgL)lGjbho;Vj><6~v3=eaKnU?wYfgC^kQDKq!gk1^Gc-ryI@N4KmELoZ8=A
zO<tmJ*NOAn{6@wM3V|7*J8|*gdN7Np0Dz2asGS>0fS+c%=?pJHjTZb9Oa{XcG3ck;
zbXn&8Es1_rFAEg}`c8svf;YvBdiLk6lH3dg+FP~_{|Z>NukJA{OJ89?O9oVgT*PSh
z2Su0Z)Fr1U7!Ip|<#2TJRZ|(-F!Nl}lDJQ(7W~WA`|WiLZFQ^iAo=%jwvqQovxNo$
zHP@)Uz;uIxlvHo^Z4a9sj@dR3b!?H0fS<t!HQK^V*q!vU9#+4##+9Y4)LUs!oD#T9
zwT1e$bgdaaJNS<fNJeK$Jq}#w-L_AYm%#@R<u_6gT+92pQIoPSnvYna-#0cLuF(*t
z|5JZ;BK_-#J&ro@wn6;94D$DKncH5*rmATj<`|E9nB;?cDn0uNKdJIXD;xOqgh<vQ
zz7MCTD->^M8XfSeY}o;rR3MNH?+g<K%jsasU5?!ea9?A_M-de7M3&mEFyae78gelD
zs<CizxyqM2-{A5>(BV+@7ueh1nvj)k=juW=wk~)_Yr!tIz^lqFTrQ$;dM<-RS!&Ty
z#mMWmTA4<MXnJsjZ*^O?bVaIF-`cV4_|bMIFSxxQ_{5IPmN?+(1DIhZ?_ms3ysGQ#
zK9Hhs@d99~4Y~?{f0!W2iWwVwN5{Yu<V@EIKAvDDvz|1N7rU-(vfVd`-a{Rtfd!=_
zAc7+sv*2uMYTY7W=P6F*KP+=0btbsm>>^*=J1bqi(b)fHguoB*?TFEAPwc!bxgIj_
zk=>9dbb4C&w1W#w%}B2bk;kHI8gvD9tH^<RprdTT*V1y3uujhbGJP>bLry1+2*Pv^
zq5SS{EeQq&zem@^ET<lAhvTcnYq#Pt8k)j*;ErwMEIuUFMw}_|x+PI%)K(^YLv8;1
z_ZQc4j}mX#+ODo#-YZYz0tI}#jka;2{xs8D&bs5*np+Ed2hzb72MG&}*-#>@FMAG3
zML!jW4QyAATV35>o>m`+uw`|>@qW)aMiPhpE;i2B*GyL{nUu<`U7KM)<J%n(hkzVa
zAqA0=>bqs1Af%MxV$dzxv*$bLpZPj7iL?#_xUFLpzgVZ5jXoqH>+k$*nSo5QGcrfI
zmVO9sgdUSc1g6xDTU@O=AMUqv>v)ou-UI^;)qu+Dr^}5BOqRObLU05q_nFm!f)tU8
zJ11^%41c1T8D=$A?=E$vvf~~<uoL&0eGHTc>n+yU*s%Qk{J^a$P})Yz&PIsJo$_X{
zuIkJyn#wQdc9aWW{pR>Lj5+h+Z<;Ie96xkW)77Ij0Axb<KmxKDjBgkoZn&b!72c=t
zms1R~W1;2s7(4zXba<J?95#JFnm%$HhI!{<c(9i{9}YZ$mf4_=je-o1*7mwO)7V1z
z9czu9cWjBX=3OmC7@tr73aiQq>HFi1zUzMUyp6+Y93|%*)3GhC-+b$HAZ26ncX}@S
z_H-ph?SXSm7MRN;j=4<C_pP)~S(a3-#;wAL`r;9KH3a<5xdt+d?(dstA9gP9TlD%T
zkg;s0eJA)dhU6T`bk8{0*2O(h)EbUREB0H`Je!lr8f{^}3Yg0`dhO_4X)~B&2s*&;
z0pU@P9m@KxS_)?oug-36>JhW<#L~9<5Ij=_+jbpjzDS@$?7sv<z_lR4@T-r{lQaT`
zkv|J;6#cf)JpJ1{8m`E2S^6B{9rMJi+0<zDIqLyrsX1ug+qH4vSO$ai4M0GM*5p->
zOLv9DTRwN~mUPoWl7WFAsW{=rWOP7C3t|TyYk|`k<1d%;3hEM-lKJ0sup_XQsq2W_
z99v%$t2&w+ZpjAkRitsSFfcIcXUoS&wMfy8AcMjAdo#Y?@KJww<G1cQI(48R(M{>f
zto*&Go*;PBLYmV*CKf?qc#G7gW4HeKOCyV&&CTJifSGmg<|^fWPI`4W&v^akrN$zj
z*weV!?O9=cL;4643o0i+N?F)1B1BDCL@HiW5P%$UMRUx#3Zw=+tIg*+%m(Uevmf@t
z8%Y_(zYbHv$k7Kj;TRJw+@^j^Q=2~EiY{8bgvA1Op~fYBmJE=}&1qWs)jU~`F4}8*
zJCGE$v-3`YA|V$n&(Q^d3%|cX@G-LB+`GxX#*?E#LHs|#GOHh8ImYfjD^Q}StS=y}
zF$Dr3ns+-8MBj%Ko*|sOyi_kg0Ex;)bo?_jLyQe(r<~A8X&nPa3Pl)9XF+mJ2>kS5
zM>&jW5quC>C}UNI#K~{V2m=&`$L77>a;jYL^xsN#{BNaZ|FYVC48Vl@NA>#jm>BY<
z_r<wgCU4xL>2q}1Sq81+$I#?7i7viC*4vi}S4>_kRsFJC&B2gJ0C3j3;pAJNXRd9Z
z2v`KKuRn~cG*hVR{|<Ih^As+qnmclwThme&M`@W_G5R@+Qjy7CV$e%uTI6z~^#%>6
zxfivy)xC4>sQJ_qNYSX*$?LWLFoZZX{y8pwn$4pL7F4mV->8{D0iWy`NvAl?A0{U8
zZw{Nf=S^m+hex16C@Lzd)wQz!V#Ib=-HwCx`23>p{(7*hT&9^xVI^0%e0SSY@M0f6
ziH7#d4WO5Od~8@c5J17e{JzWY67W@#Q&6noqLP?mic)s#h8(5R4QF6ChlCf>SKL)v
z;eghjpT{#U*4Kj~cXyy(EV~x4J=h=^Li{^!q_FYs&Vlam+ePo#FJwK}JEH)fE2LYR
zL>C<$z4o~Cs$6>DLb|9as><~!7neEvsWN`^5c)=(0;4m8vP;71v~))RBG@g8_{*jq
zGwc0!?kl!+?66t#o;SENkl%k9e?;;tGmQp=iQQg|r+jN5)vQi&Dg(6y6&9%qy3SV=
zl<zQ+uHY#hO<BDIBjEyp_^VG62QXc?{uACdWPhJ#mt2zwBk-(XY$I+k9QonyPTPvD
zeSCb%COgGI1=a{ETIAZi?zf*^b_-A0z;7z}HT$xPn2u%z;OoKVlW|x@Vj5BSb0jw!
zx)Y_iZhQo9!62GU!8?`jJL16m!@OAVD`h*-@b*!8(q079snXTEZ)Vn4tf1X{Y9_EI
zZ+ZB*&_;r9b}Ki&5b=2rl@Ux2at=5+kX~D!AlCnVyka_1(c>{+RtTnUP_JEWxGR5a
zXJut|7dHiWj`n&SYJ4|LTL2&yEZYrAt>q-HF9B5sG8G`1*{V3YnVlJtdk!I7r6fKc
zs@&qed&{T_G*lw*3?eoROI92@bGV1E`~VFqS1$%A$ZQG_C)nmfo_kt|(Q5VX7__|8
zQ6*<|wu`0@Qq70?JnKX`JgZ#U$P=W$s-8#+6368WdV}T7;Cb>9&_G|Bff+F>b2%g1
znjhuGGg!&?8E6$R;wjrg<9;YCqzOqfB+Hw|RxC@`ZF>03>G*ni-L1|8v30nTg4j){
zZYny1AnI~LWg5=qBkw>y>*=ZUGeuQgV07(vZMBW7t7I_en~`qF+z}i56u-aP?hBL<
z+&R4QWW^~Jh=Rj}uKEO6pZcP|kEA0FjUfuR070$5r|*y)7h41LuK=V<U#1&YMCJbF
z=SZ*GbGVXOed9*z8p%1&@lP>=;ppl=M-TulIdGOdI(5Zwk&=_=W9u6T>Ckod<AKv?
zIF6?7JfRvWSb#zv0<rk3UHjq#qQLT<+dscam;FS3{PoAWeZ5k<IVOoUjDUzkQDy4L
z)v}K65;XAd;wWLO`_Zf&x2_X;&KWBdKr91j2u+27_p-^g@tfVCqRfP!7g_JZ&5+Vq
zT#wQ@oKnlmVsrDg+jaU`HB#OHVnsk)LeBS3Qp6i?E2%u^4%Ej+Y@&U?thhd4DD4@N
z`H}?VgY+ygoyCnu<q#jvqH#f@4q@<!YYTsWe7!BCYcRjjSR^xqGNeh8ct)_J^t(Ts
zonE`XJwLv%r9T5cOxH0=#8hJ31F*`Qzq^#_Dj_n3CrvPKVj?9~)ge2N0nZutznV>A
zi>;ACg;8%TetrEwNl9&@8XU_YgH7l|uJS$gFlO_;PiOa@#Xhd9?N_>FwVv&d9Zzdy
z=wt>DW20=m=F*Qh3PH1dpf7OV`JTtySI}SkrN`AgTwGjFQdTUHXs^V7B-1F$O62L`
z36h8N_oe%@L*Ge>1|j^a<vt2E-fv-v;UlJb3CI$%2@h|se5?cC-C}%31O*x=bP?M^
zXYxi`h(VDl*Qix@-<R`SGmNr;c(yHXgGl>QCy^|_n}gDVj-{^?d;qD8XFxEaAY1LL
zv1nvAXNZ-y=FRH35~a~IHZ?yVpSRb&G^5=Ni^e@i<?NWLED=1Uydd6HAu5UL*~UHD
zJZsPU%=?66z+tUpoG@nV?)n%{Cme)--1Olf;Q{bjJiNP_ojR|YaO1Dfz@Sy)PP!it
zVd0E$@Y8VL^?tdYGZcu2ogSR!Z5YAV{%nwAmV-n;6@D^R_rs-KE+J&&Wn-gI?eOw4
z*)`xTFy;p)E_IW_zSj(ThC;P%$qd{~YhPluzcf2GVQ_m-h`>-2L<>Xz98Suwu|{vU
z-&L1PA1ni4BM#JQF8%fsMvK^_`ke8SQ>4<1GwvL;o%yYzw*i>pJK?Mh2kwHi&(E6=
z8&I}@xqynFPi?5Sjdd7nEli^^F)^OLZA7L(L)O>#v6m5vTIqetzxiOZT3PzeWBtz~
zo9Ln`9f2{6wrL(LaK*gS=PDwia5GW5^)E3X?jLn~;VW+~PuN<rh4gv}Ku%s>T9BFH
zVOb#Y#b1x24m__w&V(QH_3KyQZ_>yj2YT`Q|M8T=_yCh0j&+w5$a}HI_}DYb5IP(}
za?yG3S6P30WiqMgn6C~oH`+`xfK9?XO%ihd&Ox{N<bxC<<1i<%a!oGnkT>-U=y^9Z
z3>8-AgW^E09qst08#3}5zDxGSKpf4{mT!I|Ag%l5#)CD!cf}TPz;VKHeM+CA5|&tu
z_bn>IPxQcj{-FuQC`R+@V5@Dd>g>bZA_;$(DE|#N>vx<_uQ?Svst$x24s&Wl0|lP^
zc^JB4#K03U$_3-s+sW-d@_jHOsqR<|19ZsoSb2=(;z#mR2f8?XWBpWGX4usVy$p5P
zT02>N4Rc>tlanyZhNbkI0&ok#-7?U)+vm?x^)U^HqUgR4yrxm|<np031)7@%XVZYF
z8Ds7TKvcZD)5=AHUXSkc5&w-*c|bR<;BI++A(KakX{z)EI8o+VX(h+zlG<8ai>hJF
z*fIl6iillS%;~@73dA~5JMVW%)^686MU-8C2OPeN5(t=x`_v-9{5c~d!(DZUHLD#c
z$W?6=<<Pm(&l;uPnyk?qDk$r`KZWBxM>bz@CCyJ~R<=~bi^Mav+ql(7g+EM|ARROe
zxHs1~?gJ7&A3Fkpy@VgTvh&4KtWWMoT~%x%NaY-z_C(yG!dwbQ41s!s87<jRL>G$g
z>ER*F@3MC5xYhx!XNm67DX$k65C}OirEs596<f5q4*Y>UJAcpJ;9GbgkY=WV6Z13o
zN0$;gsq*`r@%MQ#rP_{^$OS}T8K@qEHEjU~LI{TB?r*N=)7G=&9r36JW?WcZ?GAPq
zV+u2E4M*Gn-ak4pe>Hh^Dc%COtYwc{1=I;Ou^{A?v)o7D8F>^zN#(Do)iQk=WBlmZ
zNlZj4IpuqG5w>?l01eQ<K%=VD&ROWDHi%wg47GsyrHOsQbM_yU06=5{pPl@Z$w#>9
zLHugF6HB{9$gld@-lBPz=paazdu17Aea}@}&dm#NyzztA=H6MnHhuABlX)4MhZ>@(
zm8bJ`Nt0p@xzr@19;+7a319(Q*zPvDsb)o<bANme*yII}>C~pjI<aWC61;4n_9w`i
z4Z#N(`HB>xms&62mvvVd)n!v(JKMlkzyBSB6f8)mhR9INWf|$%A}Ji&3HeqoUH_TY
zV4{QnuUf)^@@FfZd)GkT4{A6m?Lg=VaF_=&w}<>!;FA0+a1C>SG@#*Y%eBhRgHWLv
z#x%A1yA(JcnWX|$VIZD?7(GHZ`CO)Ht^*xc7B;BDM9@9cc!Q2KPO8%kwH}SNQk5p&
z0dn>d9l1TQ;*7q_1%LDWIh+s@Qi0d#^)B3o)ZA9{@iw9}MZX!)y_$kY0nG%kzX7r$
zR3J3-L9SIYlm8S0U#$XD&zasF6OMp@VDf9JjTZQGJ$Kn`wym@P@pYJ>!1s8pg)qT)
zLFv{DJ)%;80PhvBA}fQYbS$+Sw3vXo#pt%TT+Z@nPzu-YnSg{_L#EDl*aFH;U<&@f
zRbEy`T@+;dWVD11DuGNfSPJD+_<}(i+gL_cDd{?Hf9rb@iyP&x5PRz9)hHix2$Dw{
z4CENNZcS$)Nw-Z*XUol>8vB4!OIhTZD}KwBYPU2{%1CW6*Z_UZPrjg49V8mxUCdkU
zM=D-b=@F1o%T&kown#^y&Ow{Dh*mkj>+eOwSc8N|9YrJa6|J@-!pfB$XU1B@RMYdl
znIMoE56}kmM(CnTBpfd%Q{KeZ4A0K`h6w`KEC1`mw01vUk4yWkH9I#OlhUiI-%t@f
zJ-sJL#<d|C^n(J$?XnH1A0Cy<SS|B|!mQu^66$c!2gVJOUCvI=ZTmwV*kF%iGt22g
z%UlxEmLh%^M;m0i?T1Xsy|OyN$E}JbVDz-Iv_z6Hm@{sH7ar43ttW&6gKM2ba7C)L
zGjINW9r-<m-<pW9a0eee1maA2FAkGYR))$h!D8P)!~XRp8iQ2r(QUS5921{$F>1>T
zu!GJWK{sMDuBvX$uo3sKeO4SiwY$7$ey=F|#)m}aT^BgkbDzmQSH<1>Jlw_BP$I6T
zsL}xucw$4GJ*oA0auFS!YwVP8BSW-CU<FAE0(!c!+woTbIwSW3?&aL>hL)fnWE%t{
zX1iCJdU<oQM8QmD4HU^%R^YqvK>NdVC2F6BfX(gSya<GaCJGn6!0WaftbEh=%`dfn
z5cKi6T5Mf;bRRrmoumTd6O_3N{99iTm=Dv-K3u7A(k8Xx_F$PYYlV8IbM<{c+!<rT
z^434}cfN}lHoMex_ra{018!tO1M@Qr%`&8M#m-!mUnKMSsM9=KZvot@EvKc4I?rC`
z#X7raI@f+`KfSz<$CRo+EO8X`-53>*UPBQbAR_@{6rfwY0s47*mvd1B?8Apqm$8nV
z(*(VHN2Q({FHXEqkHtg8#4pxAIzLgwt;%En*hn6M8IbUY1y1gsO`D}$*AXU&8Hj<i
zOCjcY-tEC-f#+&zrhsfp;tO8g5X(yI6<(WPR7m%imuM=J#-*KHT3Iy%p)~%}qlI)~
z>1zB$n0xLe#{3jk>Up57u@ID01uVCnB){jd(*U1D-2zkmR>x{+H3M3P+H95++`}J3
zs;(CI&Y2^s%{XgG{rqu0iiAO9!d>t9-q$^;fY-0>BS+Ud^fNm<4Nt*45u(1w{mPaJ
z>F4(VNnWIBQX3H_<&DjKV1xMrmW}qX`cN8n*zz!QYM(xyH~0<taZA$Rs&zjBGDGAR
zuR_NX+UghsOl7@7>{lk((B<=flbX7^kjVHgwt-qEluZKDs{I(XAf*@^NUd#aY_IRw
zt$q=g;_K6%$eipQkM$nKYW6>yq+E(DgZ`?`(se^XaV$aIYE+ZEnX--rjs|D(DY)z9
zr9+J&Y)zy<INb{Vt+}@OF9qQ|w^r}`-kDzAfXjSU!vun2v+2=@m~JDWgnvE&PxXaY
z140+u7Ee7P<G;HvVsLn#Rrir`uf6YD3|_svu5KNm5<fZCT0ygNZ$@`qHd-X_rR+b-
z@sXkfm#9xmGgDJj=cfOa4}!o}2vp)5l3FAmU_iX<yh?e#fmcCW%N_m#vdPAROrw_;
zP@<Qn-@hk;6J=}5RItBvR3t{P<Di$eZK<7ApmxP!oDrep|7!u>%yp++*0`?{v~Z5`
zf;^>efn1#c4MIPlZ#6n9Vkq>EvWrLYuHdf-@OwXT<Db=`ZjpVQi*d1N219CdgDUEm
zksZ9F;3)|$xc#8150|5?ntmTYtC;FZ+6Iu-K#VUPR&DE8Xg^xv)EGy5=AK^dA2`hb
zchXKt8|l+UfoCC(UL>|}a9CK*#oypbe_iA2>X`9uMLAE|vkyE`H*9Ln7ge!f+qtr_
zq_U)s^uz~1s@W9rs{r9m;OonHw=OjOsAaC=sC!`AIhqOt3Jx79BqjAUDIImugE$sd
z<t(~qEO0Zzt4Rv}zI?!*oIJCF?mQ(`8D?+?8zq_pVT$f#IMk>Ts`duxXHT7H!;p!+
zs}}Lrmzq`W`NhSD8pJm4bc%b5q`oZ~eFFnn8re(Zg`2gshaNl<Pcb6t)^{<?bn*IZ
zp#){_IzQi7)KHiV1{zKlz`z90E=qoS)79**6az4%E@yHk&Fgktyq%qE8XKi0fD?<&
z-|x8J-k`Ow#$&x6Hgo>+HHKAFvePhcj>;CE?PS@yaY+nOUJI*}{kME_sAkPK!JikX
z3A{f#fao&`zdPd7+>2+V++eS_2WpI&Oc|raXM5fq^rJ;|n7`^g+6`!BYk?{J!?Pkd
zD44D!?bR4w+TJ$V$SX#P=Z{kLv-(TGm(t2rOcR=LS4&4K3||Ny+{cfb6*ecW2jl1j
zFb3Z>Y(mc-d30wYwaS;QfaKYF;>{{28xo+BeSup4+cDn=PPY0#HmH@+AyX%-1<)18
zM4tT^d~E@W*~i;6jNK4ma$YArb#x85DcLRRbuQEirROPh#`&^Fac>3B_6EAHH|^RD
z8Z}P@C!=H#e*u8MJSE^CF9Ki_=20Ll(n0GBj|ytg?=QbNFa%NFZ<gnp_weUl5Eh|a
z`J^Tk!uPXXTNIjeyJJfo%dA`|IPo@KR~XpI8`cxLU^g&{)Y3Ux-8D)hZafB9Xjhm^
zKYj5Wz+40bhJSv^Sdb2B>PLfu3ekAe(!XwfTkpJVSn~NbgYt6#1lVBekuP<ae(AX1
zaWL!wrJFHfxUtr#_n)|<cxJ)Yi{tR5`YzlS_~_5KusPZ^6WTxAArP_177u^jUDLhC
z<6DWTtN9-+uiuxQgBm6|qvQy#dM-&3B-9O)^c+5RD}F%-%`O6Q05q~r52g5;=vJ^y
z^%D=sDccw#8aH~rIe~w)$boyh(Sz2r%;3u!#+-XEn?mWaT-cJ5i|gpR3^?|^S^Uza
zu*pXqELzZjmi<^d$xD&dlHW>+myA4t9IT(sV|7xUHo)Asf(lglk+cU+%8m^ks=k=X
zj8aL-a9gfk`ZPq*TAx*l0I)&|@+Kq@U2#P{x{hprw6dC=Yc2d8{KK-keM9`+1o#2u
zRmbj+Lk>i;>lqrpS@7<P(>(aYOR^I@{FM#>51;+O;I$&^@%8w7?N+~J-;Q5peB1DR
zntKK<bnONYFoL!Cmf+9+I!(*X4ZK$DF9+ZC5Ac#1$XcYC*Er)9&Oi17*}@SE?o<+A
zIoJMebU4;58ECJ<yzy5et=_Dm^9u|2D!kF`4Xv%VP=9iv5Bc1c)KX(?=_m$K$`1w4
zK)Q=NpZ{|pHDFO%^S@oGyH4Rb(?wEzZ-}duplb`Q7Y!Q1oN6rmX)y2`7kiK&5m6>R
z7KZF94Fjf%7i?1kEfjM1<9b_xty)1uZ?;)&7g7yK!lG=JHp0W#D7P-|XnfCoZuT)#
zxL<|CCo6FHdJ}Ee8bL-uFhL<LN>VyvprNTiV~k&Bxo*;vOBP|G2zj6V!u<Ll(y_9T
zo4dz%E^}gbw!48)H(p*|5s`>{oP@8ooEdUb#E6129ILAM*r;8YKh)^2w}){iuTs^7
zRNF}a%Mrv(_W<(FQPT($3+5dscI>D^t|0+i1#9UdbsKc;M{`SyTykGQp#Q$(awB91
z|GXBtYO<5x`1s}dks{pk`fa+f!YvqtX|y8p8lyZkX#r>fyj90oJ0>cox0*+XFzqUQ
z^_#b^M_t63V7y+j8~>0yh&V+TjqqaWsWazP(Q@U?m*?#LjYFd8G<Z7DL9}I7plIBF
z>^Yvxii6HEvkV;8pNZx`KvSP<rH8du$23!at)zKiSq+ZY&n7aztCO$c^t?e$S=#wD
zxQ);xHKF(;E`A5yLBz|mprxz~u&c3T$dBPOqerV?l8mU~TyoUin}m36d8&v9rHlF<
zyDfJHz9wilG`)P1Jq7yRu4yWXkp_JT+dms5F4i_6vYTcXh*AYtD{Ho<>5hgmk$E1z
zKm|Em^Ixk-47j8eZcu!*M;T*nV&A=gP^5TSIrU#i1AO4_-G{7zi*CZAZZD^lfeC6G
znM9ZCgqLn@U}PYcw3NzODBGy$se6Wk`6+<qBbX8lhAjXiIc!VG{isF;fe;5Q9<7j>
z4A1XAV7k0dq+-=TXM~HqHk;xd{_tdR;KrXaY=(Tk^0#JCp)0OFRlAfDz55FTPpl&-
zG6WtZDJF&lDh9r;(3>Zljm6X;XO7?apspz=bu0?&#AJ>^4e%etxi>7jEH8v4d)DbN
zqS99AdcZ|B3%+{_oaCrBUM%*en_4_epWUAwBffpV|I2d-2N5;HXfllbuiCDY5i+|=
z4;gxp(@&~t*#@R!H&RQ}Tpc}VKq33?!$bBYIfZZ1RXhVN?4mn&w3Z$OAgqZmI89!u
z1@-Z=Jj!${nUI3+@K#m=`74iB0i$qzs&#&;BXr&9Qq-w~QR4palE#su-QD>Oh`MFA
zTg|t=&YD=Lll!Ahn0)_T-o8FoU1%@|81dH)jzNTu`$S}#X$ii$OUsq!5tr}{;4
z{3&Mnts0CQezhZGHHsJl-BarXl1aot5cXRXzfQjfNPEDQ$36o-aVorHg5Rr!CeLVX
z2CE@{>1$(gt*`^{B6d6J@*fJ^?Yprpt2lNDq`h2Ivmib}Lk&210Ftxc6&m2N^SVY`
zCn1U)A-k5mpwyx)ir5`m63ltcqIjC4E${>SbL=JfDpq2*|L(MgVef;0qvFl4vs*wo
z4tN_>{h49(J@H;#qKkk;y2(x29m=;C7SJC($&o(4D5Eupc$+0YBiyH(zJtZDf%Iu2
z#&+p&1v^|HPZcSe<8H$cOO3T`f0itnGjX+8Yud&FQ-9ILrH;$9om;i$0BRro_bE|l
zkDB?KxczZCdIG58wpS@JbLK}~ir`A>PKx4{#NW{XEFX8dtP9P)#!%RICm{WNRmG4R
z^J|#|1&B1~jYVB*D{^~!{P_DbDvs3xL!k+_CbHeRb;nGStB+RHuwA0Ci9sV&`7z`=
zE2TS0U&$RvZPC7?-rY9(nxcYaEMVlTatT&v!O}vJf+K5!4x+YX*3C6Q^Ph)oG-o_K
zvZc+7$EWIJUlQHs!Iom<qcLdh?6!&)!=f%izpxJjGHt?)!?@<35lAz;_#kc#Ex$Qg
zY<CnSpPQv&C6vE<IyiQY$Y80<W-HSw(OwY9_R8P$9=`LeDp3YmN#x`#f)$zAu|Ed`
z6^jZ1o)y&i@{8U}f#Bqo;2Y3TIzDB_ZIZgtCK&dncM&duWUYkJ6evqax+$ZJ#w}8^
z=knvFJ!&9Ax8rJ@jk5vLAUJq4*V(cioz|5~_TBAmi30zb5U-^+tE*ZTkZkoc!>1p<
ziNQHh!8y!nN2_q>|29jb%k{x!2r%7xeK34Inkm;@!^#r0xf+pnAJvWTyY=uC=7gEn
zhG6~jJ$U}NM#2r1aJqQ7p0<o)0Z)RVmB6bifaj^Z##t$ID7qzHDU1AcR3<Q0nZ!`0
z0n5qqLuSE(eitr1i157O@btIw(4wn{bvGCUW3B92X7B^qpl{5{1dvE#g1%iOs_bT+
z8m9z1-o*jq2>v{!f6PcKYAk#19Ki5%bHe4*uI3`Yi*Se9IE7m|PD%K!D52~y)7<K<
z6u(OY_d~6z2FR$(_}jZQ_y?4lm~R4y$f*r*RLqs_%JQYKLAunfyHI&=-zp%$l>~(O
z?boiYr602gm#g#w((q{){Z`SK{LE!X=gOQtE23G@jGVhSn_qr6{#Xm9z&H8b{u13Z
zvg{`ZN5`{Wfy&g+2d2saev=cD@E{1p|E`=8(PsJ#Xo3ki%<kgBs`aHW=0Jq)M7)&G
zpD4ut^AwtE_x!Cv*?wzf<e|uU2V6>&N?ieFMtOO;?USFRIs}qkLKBrEnb{^co#J*W
zN?*JfvGd?!q;0Vl`P0_K{Vz)~mjs^kcLwP7(HMOBiroRn+olg)L8xE|C93P{rx0mM
z^z2ANQ{bB43Q(-BAB<Jqsti}cGWNCLg_AzCR0wdmtSWlXv3p+}CX_;EZ0bK#PU(1R
zEsh%SKRq5k<J-p{e5+`aP_n@Dq9(LL1u+|$<d!qgHFkX8Q4g?NB{T(QvN_`eS^0s)
z6~Ygs84IZE?aKk;z|&hL_TQQiP_cBcxW$U2+baJv*>GvksE~kQ+h&pO?)ECPLhoLv
zDxaJy(WUeLdtz{f9*9!ueTC6h{9cwNTu^xh7-Zbcm0vCPnP5beZ=w~fiH6px{Vg^3
zs;;h%F51S>tw5Bd9yy*{jJMyL#S`~xDHF|~A=Xh=bBxv7w}Q2D``3@xdyVUs(o#Iv
z4<oUjmHm|_s}0SWk#JZxA1_syOZ+@b+LnL>3my{uT<=?<5kVXj4t9!fZKYYus<gSl
z$DgNB4>M25PTgXySOx0>R;Y##2$XhE>n(k8(y6AmgZ&sKc=j^r#Jjw-<ja$28r!`M
z1AV!bwhUT-4!`&O(LX<T-hc3yy^Vek24o~)czk;LB6Rsv=g5cWquhO=Xg2$9>sd#+
zLEys1Ohds8i*xq8p7+&gM5#pY2Akrv4o5XzbP?UMiLl3S)pFb~AI`6@Gm@MkUJ3@C
zT+iT+#;0@tHFu!0m>ijv5;!RzB&92w<>X)X>@O6;GvZ2uZIMVa-4EJPhj}tO#C6?(
zdh0^35+aFEG}s7#*Qds_m(=ztq(v$9g~Mp%_cog2Pj)Jm_^mc?4YEoJPJ_;@G2jwC
z>1*38pSz1!SLesgAAlg$%P-Rhe(IK|;;7I2uBh!<(Vaet|7`*V^8fq7OaC0dF_Cv%
z{~0Pd=%#t&gRe(eh%xIac!EP4@eN-0f@4!Yqj`4T;ln=vGn(#>b$Z?Jcxhi*8vAt|
z5T!VNbs`dASDQXy!Xi0X4-d}<q>VJP+s7L+yHuZ0sXlC02r6?_@;|m~$lL16-fvzG
z>$C>>y~l7}H8u)m!M&~8{*@-EwvSCoYoA$X%X)KH6#tDdIikfp=A%11f$rm%R*MCW
zY4yK6c8S%M-#9k(N0$X=3LYL@V40yI<g5j)TlG<LIlfPdp~HM{g7DmUrktn3+iaZo
z1!mNIvhcFf(y#$kFHlLI`L`a~+1T{W4*FzqCZBIXk7H{9OCNv@I=lv&m9w+vSG^nO
zn##Z5%W~u?0nJNl(7&8TAQ*b>8m+yfqq3}wu}qw34Xzw~5<kY<)ws7daNz;qG^UVg
z@-%}r2>+6?kr^~z<e*n+=;VE?l4qZFSR=rL-OQa!@hJYh=bd3W=ih={Em6yiLUg7l
z-h}zuY&jWu5z0>*(?@ig#>#}azBVb2#1Whh99^asv4Ed}W`$qV!c^BkGVwRE`QeGA
z-%#jWh<lhrPI=9k;r0qdwP~QKXW!^c%)RfYZPkr0CsA@(TU)Hll%f)Aw?M<MeCC1v
zSL@j$k<rJV-rHLzB(@Jq_WhSv6MFys=9Rx_djsbHiczdKOGeJP6n#J8m0;D{S?3bR
z2w-x+l~py40s{E>DYRZ^KbA&_mqRVeoH#&Q%~zmBJ`2rDrc#AO92FTNcY8x(O*&ep
z*6<-}`ZBpmjM?~6y@}?d7B#uGTfRLMstss{i+HbN?v9K0Xx-Y)+juz8+(@e$45e#%
zntp}ri|^VkPYznc?VA|KZ_$Dya6eGR$Ayf`8}#wki)%I6J=OD1GWUeiNkU@Vr@!}@
zvpft$r`=$Ev8=ouD<^Uw5k-0cJ0g+9T@%g5u}KK?kaN}q?wLC`oZ#CVApd+9rDZqH
zr*XO;+*)S(A<9D6qS%}@#=!UN<>KNZ!q*k5A&-bfl12DyQv`8|2~hkPU#_$IHoxk(
z3)<qxNZPls{6f%!6}6C%J2t<$UtL{Q3<T(q;RjoJl#gs$im~U>&FWXJLL^Q=U^rOT
zd<3Fe@l;cBEU{a>^9iqSaTrabA)CJQ+p}^={U`${lm5(^<2c<i<?s&=iKsdqJY-AG
zu;rFxRJnbvzNuE~eHr7_``s3loW)BV5En1&y4UpU%7hglLtV+<XmKc?DGD<wA`lmu
z(2ycD3+GEtS*@$8bRxmhw;-H~S71#Edw0Z(O$lY<89VnZ{|j)HIVu~k4gdo0OL)rf
zqwCt?kgI#m#^<|%<M!P$WK^T7rS|4GAAp%O*Hbjml@sq30eWw3KG$-#&vwt-aU`T&
zs!pwQM=PzKRq0GREE&4hLNQeu6GZ_KV1~Rn`qeQcecw*~n;tx9Ad}IfCQP8vo($iU
zfr-m1;VE%Z|F|@9Y#y(U>6_Ak8YRs}MmvnMMzF7|0v)d*|L^<lX$<&sV4N6Ip~09b
zyn3C??^Ez&z3h_R@aDKhQr3pFo(acpwCwlldVC|teOA3jwp~W;55dLrVB^#F%N$Du
z2|qefcpLjJP!JXi7+D&$h2^2IG$vumyI<GW=t@2Aop#y%;SAIzk@x>-I;*g(y0&ZI
zbeDv5cXvpqh=>x>-QC?K9nuZbASK-)EiEA3DcxQF^m+epZMY@J0XLJmt{CGS-xPyU
zF)^!uENv&(FD~3|Sl{EXjk*$X(90m`x;lKm9}>?YKuN`~p6(zJ#YYb%OG=dd7iTo9
znKMReH(bXi2QLL%>cUzElvO|-@)&FWd--e89*`m{kR7#J#J=YHc_-JpJN4E~3RrhL
z^bSr@3NR}6u&G`hH2qi!kX0fQn|`)|sl2DX<K3*)Uvqe9LA2@E(QhoVCMwUY{B`;A
zCtsKiBh@qgYH_=-#IwCZSHK);o(DDU4^-hm-{$LeKd4j~zBu!a(Fd$3U96DAYj#}O
z(xmr?Z;vb2w5^^t`XV!`Eh;SR8*yJsha-8yx%oy^SxD+f-fU+Dw%QcQrdWK|u=;hK
z#NqI+<7Ah8Zfn?|38|>EXcaWAbY0(xLi`q!hyKecDaB=rI94~NsKPfiy_L9&i}Sv@
z0p^jDcIt?{KbA?m%|Hm}KoTwUA-N+rH+Ow^63jr+UZ%G^bhTPj6goEEGmRES2_Mj%
z?I<{iM&xOl?s5D4Ld7UaisarV;>Q1M<xh%vIr0@7#6?>7R89*pa`)3~=?tk!avhf%
zEMB5c<?gw!sg`T6In%O*n3hLV+H#RzoUxLtbSM{Cd_;mt6?CK_b~t&yzIM%5oSuL{
zJhGh%{23r4XgR7-<F5yHOb`hm{N(R@7MgU`^*+<upb=LGJLacpLC~kUce9#nbABj%
zS?QiP(dV2ZnS+B;*HQ06ek}DWnXnLSfE^KhJIomQI6+|&XMuxz?{-mjzrVz(8wZ2F
z8zWSu$^N{&KBj;lGW>I`$W<7%$17{>&mY}*>enZ8#S|OvR#u#8k8=ZuHxF{93>$ZU
z@*_EM%+Ye;z-C|dU&4)EG7aS4G-&cgC}ULr-u+{dk7CE-?ec3HsO%499|g03bm#u(
z&3QjhwF8A7+DK+NpAWPh_sdu6L>TpPi%X%CAw!PpDVB7i!02Sk%--pi$qY63k#pQV
z?XL^GX6Ty6VPcugdE2T`Vp?oy(S}F(_B4%AtthTP8vf82z8~dtERf3J=np@y9gr+O
zO{4Iiep8AS-rD#*)ntUNQu7X{LcCwqyD9KYMn2P!U=g;~3Sz%?y+Dv{vP~LGGN8yV
zTSJrA6K8l>?jdMIf(V^Wz3P4Op>Yu$2hjt=m@q&&5HSGMri2Vp3P`GuJ@M|}zkiqW
zHLL(1Jf1pW&xl-KmPQ}x$HJW<2wa_qvjr=wTaEu+JUqL*yW=w-mE39@h6l@$DqL*7
zm{=NR%sJF6KbEHUB<<0^n$~b5FaFx-6sKuQAt`E;-y^!{Y5#D2RMm0+-KOPYUrwE=
z3rY&jvY%}bN_-3*Nv6EcBeHQ^%7NmeoyiRhs@b~qJ}tcMgY`s~Udmr&infn0lAI0g
z?K&AOJlv1TKpWPq4X{ezBceD598}rAc?(plxm=<{5JBMdpZiY}NXr^lZX+aX=nF~#
z#RBgVC=W)nd_uqD+3*^=!{<=D&T%q9y+QE%)yRk_+&Q)L$MJEs_2{~mJL#_6NEKa$
z&{%(?o@>Xva1?n)?v~u>!B`4EB>#8GF^r$x7WnAKYM4o5la#{#dH^E&Q<>@V=2_FS
z?Re`l_lG2<%nP7V(5wKVjkg1$jD=x{KtwvTs+#e{XH@YaUW)vx@9omgLtayPAfUOg
zBT*!pz~jH<I?DnRAb$fGd?F~mSRq0EEM{htn>E#9&ziu2a088a<_W@IwQY-MPnw%x
zMp#XZKR{Zdi47w~-D8bQFiStc@)|M$XFL<R-2h2yNx<WSl6O%|jdGuGnvl;d5K*vR
zO1YaKTGoRJPIEAMuav9!iX6GItdbLJgvle)N(|4?Ae9wYo6&DeHH*9?xTH>F!QMbn
z(SDjM(p6mjD`f|N{`S~wKot=ko>xJ10L>IAp=}#o6%&<!OX#Qm>B{v77L4`L&Xuzo
zJT=6Ea2+N$*SpgZO^V*C?UIFmGghr{NNYrd&mN`U8HYK0MiyA}Eo}-y8aY)$(mq=q
zTN97`xI{tbrc@el;LEDqlintTcv^RHi;^z4c-??00oe3aeN<>XTESrp)8Z}<mf))R
zvB3L~=^jB8)ME06Wifn?5jUeNB>RkuuGumNtu|cvZ{9{@<1y$Cu07lRQoVKJsTFbl
zqzN;a94%bMdK`p=bo$p{A0Cz;7tJhySVd|zlL<Y2gfP##=jSwkDJiKXRhtHlg<L%G
zw`?q%$rI2`=J<I7BL;U%X7|;%l<PXQQsrI{NcZPtk4)G3t7ZZK*ZM+x&VWuqwEv#d
za);RZmfVa5W#pSt^QG%^?d$;wG4UhZhZ=IkXLtgX)f*s#w)2hJyaisl-<Q+SPM?Ft
zP%p2(0|hjIOxSX+_}SIXNNwfa{T+~oy#8QXF|**12^!hxAD>owf30{G(bRQWewzuv
zfd5==|C3zo%Vdyq<jP=oQnEOE30nwEaSJnyRN@F`92CV`w37e(LQ?~DmVsn}5dF`M
zO>e%<vf@^|R^6$pQ}<@N3bq|cE7mn^2cmc=9<n$bItk(kK%Cv1cO?>8NR)Kv7~WS+
zO8c9HZp3+7xZGuRXbITZm;~BLy*cM?wyv6{XQ`xV$;QDolP-1qJ#Ti=YM|nViLZY#
zl%Xf`hNi{s1dL)tea5iBI{L|EJ%~SsFC&`I&wVy_Zt*)pfGed_Y}(Y`CJIBwd(VG8
z?#JT)e^Q(XahV`p$X?j(op&tb2ZR%W+uiIG!7d*dl#ATI`P7ws!z3aIG00L{Tv>VM
zevW;srgvqJU+aRd@zc@jD0v>;8b9*t{q8Scmq;kGq{TROh7wSLnDxft*Ag>B=eIbV
zk#WKFr_NUC4LFqN2)BFKdz|><hk#@5$Mbn^;`Amc46uj6H_PS4@9LDZR}OttSA(p!
zgi#)YyE{m&2|E;JB%5D9L|<b8C2cEjUd@67Z7vbBAim6~_rd%ag7jU85k^jvnMQ2D
za=b{RkFD3t^8~DDF{KsX)9*PCMVUS}naubs+?LE*r&hCX3LnFhFcc=b#6QkH9Rfz+
z=t%v@!`+=nhlW5A;a>unNHG~$36{hC``|%`Oc1Z6=LR9$9u?`+`}FB;o5#Y;%#7u3
z<oq@jx+{G|#%ls->GJb|ptVs+7eW7;a<MpvoTlCM?_-OvRq2QEjjrkuv4o4lWc{JK
z(8w-F%SFOaOx`JRr5U8wCcg!(E?k-6fw>h-a*X+#O@!tn)_N%`flsduExwzjr5gIt
zM=ZFFOH+1N>O8Sd6EM{X?e=}gTvm21NTu0H>>axk7mtT~vN5B<A8o!NmMP`izj-jx
zu&lVbFmr4BYpN9*w46+U;N@}kx8_d^(4ba%>F$$MhG*1Zc;dC>Atx!6F%H+rVATIB
zT<HE+xU}ILLBt41=6QbIuxv1^OEBh=lUH12c=HD)^~=FP%oPi2Y}a5R4BMcHo;h$y
ztxLXd37q@}FA*Ytb}pYyucWrYtdi9g60eOO80JlKc|k$v@YT*e4ywzVSF#sK**e`G
z<)whE_qUp!T+O29-3+-{jP=zKA689@=4!iFqoRQAZ4TwXdEn+~X9spKae3s9mfxw(
zZzKxw8vSS<WPjd~s<3yA0u0faQM6XSRn5<pumhaakeXvAB*|Yhh7|m^FiQ98DWAk`
zW|4z%m@dAbXA#Va_VELQq-O0F^W)ny0lU5hjUN2-B$_3DY_WY+CxvoPVV%s)tLt4L
z(gzU;#qL2*I6yO)GEAc*{M~N^hq{61Qwo(2PmQv8i<F&3qvOn^P}kqZ1Z*=Q(ifP9
zMdE?=%-s;JE({}S6m@l9qYK(XA%1>$X=jHk^UBAsR<MlaVbStlZ{MAD$9a%&%^pFj
z>mBgMdj}!V`WDjf<h9^`lB4#x?cia>#Z4}?1_w>Z#IH<WG*Zle+FcTukq_}qBY@bG
z<A3F-iIT{5-8+{iEhoo^Oe=+n;MmMrn|~!Fbwq<8^GlxRLNGgabya_cm&MNhpB5nP
zCcL3bHVDT5lfFF~_xY$!bMgpum(&hT_|;khfU)QR9AH(a&}BTv3%-m(^~6upTCk*V
znf>$qJA{1eq;>R9U9cR~P>nU%4udC0_P=4tg%X=b8ek8QAxa<tS&xHT5%R3BwSzV0
z{{46(;JP+8x;<HA&3#2GFOlc?AXOKSA{nAFCSJh2)A0JQ>aer+L3IS#cD0onOFp&0
zl7-rV-Nx;9<ay`uO8bLbMV=mOibeXp@y&4N?~Lsxm<FTK=F5nh%u!SDj`Hh-0xcR`
z@-T3RoOm(-2<Gdpf|)qiqf%-APyTjDk_+X(;=T!&5dT2(Kwg%=)TVE}Ux2QaNm|3l
zL@_fq;ah5}A)cArEr@MXA7<xtL^FbX>U~8Onl<(^zT#E?%f|R1-AWqPnzEfu5>NP#
zj?zuGFrO3Oi_h^G@A9kn%Xz53&i6>X$th>F{h1Y=^Qgaj<xIJ=-3pD!Ly(M3aXL&o
zTwb1iAYxK5BN9$qhn$h2LlNriYQE$tFkCJ!h(f2CrXkPH=YIl4=<+_s!*{l|0e_<5
zb%7n7i!Odw6{jEhM}%{3fA(*m{E_t+|J0%!jG<n?T49af+Su3tMWnJc=1M3>2uCu`
zejoh35RL?YjMG$<a9jt)U+xUPDm&f`AZ5>(wsau2)2(0+*ldz3Eh~GS#&1uFf(DYi
zq$ZlXo@|aps54+QC-_IKl56MflEo>%>N|}EXw(}fMBclddVrm<XOH;qNatE3)l71m
zD|JIMzT=q9VoctkET(MWEBM4X$Sud?nj#*w>;}&#h(2PQcgzx`E6rM0Y<akf&{SF3
zN``Uss{XHCx#IWcBC;x10(AQJ8y5D$AAT@Wr|OCjSq9<phv1y|1mUK)=)+>}CN%0D
zMS0-aFe-udmhOAewyY;K8ks>i(<Xuw{SYx7NehLkMD&KB-_DMevux?t0R}Kdt$coI
zz0DY2Ywp#?`!X$n1@+Cw8l7^W+&_;A0lgWz+<_D2??ZY)IufLyr>=04!8yU~<zVsx
zD7c><vYs8ARaS+CzurZA`XK@Rz^dPkbDsyz8q>2zfyI!&cG1V$d)39bSGI4EMk-BI
z1zNOzr_H_nHpW6llAw`@T|*e;^k6#@=)X}kAB>NA-mC6(!0YiO5^F80zCH8GYs3np
zy#9*}%zJLWu9+dMo^jh(dzA-8!KLe@Q>;@lg)<8-7xPd$4WpJ7#6O<8`XQ4cUsuPo
z%TFT#!jdQ<^Ibfc23TEhWj}DX3MR3}lMYU0cZ^NM{<iB@fQcnPoenV?w<nbvXJc#U
z{%~`1lTo#|`*9d3E<{CBltMmnaVmz?Pjg=pW$z+2@+PgwHG7|Yw8K9HTHTvtokErD
zT`A*E%Qx<{QmMOsIhoVJJKt!|M(p{8Naq_kf)4vwFG-1;_J~a2n2s3qfdQd}WcZg~
zt7F#rJuHSeF|<E)b&brcWvVvPI=}s+x0nfn>km$U;~kCozgORj$S*e0h`En`%z+qr
zO@x$Xz1sDt$j&Ci{V3>}8x3zHCf;eD{gdqVj~AgbzF=k;%*i&(9lzKcUnEI?waSMa
z%*6&Le|e`Dop-mBJU`M+l@t{f&(2h!JMuRCSi|OyTu*2*BGj`>%_4>~iY=wvv+D_M
zgODXgtt@)n;o4oz`kf-_W_qs8?BxGia1&<l&X-a-z8BPFmw+xzguKTO=)(L>Ib75N
zXZUqoxaGQ_A<87-yMbxih%tZQsMBsN0C|8nMyH;Mb+Sp|Ajiqzh&|=_UkNJ)6PI1J
zv)ItEC=S%qhdPFY3jYfKE=mvj&d=o5ve+vN8p}?)R;BY|I;NV&Be6%mBkAFPu)aLc
zytvtjae_juZI#>^PToG%p1jd%bv|)2GN{xE+k#02Z}+jE1<+NB_s+H-+1!>%BnJnF
zP;VIa{+d`byMMr%FF{as<ngH4bM?#j2N?_89-KcmGjMDTt>4@1d$P#Kj3kZ3tx0Xc
z5Ja9=W^avPkQ*-2Nzc5Qx?fuZ7SfmGn^Of~f)f`0viC05?4culVU(Je!%iX>A`~Bk
zseSlz2QHSZgCxw2D?`fR8d4#5_KZ>0jqz&FZHZm}C*RJgJsjyX7De}~?Z8YZ8WYDw
zOx7g9IFT5UPPZGN7tu)-9hfSXH%o60)`l?>`|IX2Mp6%b>%j3AL>9eeTA>R}*9?#l
zlka*Wdg+1SZKvDjLqnkF7$e(U<3m#f+-mw{vt34@F)`!(xe*c07tc$j=o+qPhDg-I
zsYxv&opf8K3S|n?y&g#pEKPNJU$;G}DB=K79f-?<K>?Z~-VD3e(ar?Vc2e}%l;M|i
zkINm~aGRu2d@rgAZE$uJ&!8Bg^c2rTfr$@C`nQ4O+rBrdtrD`-mnx&Y3O%;*?EQZQ
zkJ}G60`Za^Q8t2unRm4#5Gn>v4po4%an+_{Z$qDwjbzO@isF?qlt27uwb6ii<p!0a
zHFC`wOyk)AK97B5SQW@x9CCz5$qAU3fjQyH4gXon=akD8V=OvGNTO1bf7LCp17==C
zH$V$mO}ZLa=9~}kAi{(}k;63Rh`#NoyS9<UtSzD?H`Z2%Drmf#rKlSC6e&$*R1Y6a
ziqq^+Rj3z5O5<>7Hk;cZfS(aZxnyBRL4r?m5<S58rgrhjmN%nUeYJQrH%o3q>aQ{}
zVJkbTmFVw%G)3)qvQw9Q*)H+a+bcsauM}xf$n^_Q+2OzY>m!jwa^}2Rm4aK~{m3jk
zkj#rNm?hLKRX%%=({{D9u@Ol75k0Gkg%k2u-H~;vq6XXO%Yvym0PLDSF8q1Wz&FbO
zZO%`OCk<So%m=26j)Qj$U61?2((5hqR1!taQ2Lu}z>Q^DuUYm7OiexP*Fwkn3COXV
z5n?u%gx|<baW}UOp}D2PLnPh9^J!k!8|us+RHnP*U}F=RS6bKw=~8OKP^aw4E@JN$
z%D_hZBU=?M`8U|qdf$b_y)z{+1bT$5w`U5txvy+uiam6$M6mn4pRQ&dh<Asc8TabH
z5YJgen(-C4DZ84c9<<oK{6g$GJv@}x^Fe~3hCz({-QC;%>j!;Z;lM$zowu$a&PWSL
zT2jH5-C&#SLKQu6YfZ{{CoL`AH=vAk8xisHn|uTKY%sCd91^PD5o}1w>SH+=!ud@<
z^&BlW4nzWar_|-sH3MYHPNW9N|DT@)L)n2|T=Y`(#q^2iRwkYr;K1*yzBW_^bs+;x
zi)Xv*WRpSg=ntEB&zdiclHZMZ->DtAoDz}5%Dp~l%rGJ_0(g^EZY_5BDr;y)#^*Es
z7%H^g0`$=|XcUOQ?oJ`e5a$m~)3mdIR|=9<*nI>>R8I4OnEowwu>Q(IOP+2wEFQ@k
z){pkwq+Z$obc*fKN*Q~<hN;kE35)=PylS@+>kM1~I2<vXQ+w}BVT;P-a}TaT2jls4
zHEo_o<ExiZ%|RQpDKw4+(u^>S_l7t2GeY*4ZOxRzyP*7)DWde{t#DAIY?L7M6RfEy
zB{o`f+OAR!+(3`-y}*H|i1UsCMmG@v3t-c$v!ae*A#{@&CTTXJkGP63Qr^XH&;r-i
zdqSs7of;Pl<)9!&<$ugkLnQ|s@FM&E{7I^Pwl&`N6-LNU2!wWu>)Y5Ls+>K@^?O*f
z;Vejt_6({(yA4Qpjfix3h8A#|AXkje(<IFjh<&B1$LJC73<U`p=r|F5BjkOS2XxIB
zx6Kqv!4Pu@n!iC{03&Lxyeb}?vGI1+fJQp}845bLq4amEqyzklT1}>g-fUdT4TZ&B
zPXF~Yb8gQ~W5DV>+klh**g|=rWuf66htHw$NHaO(ln3(teCL+^Ib6XIZns~)s#6nJ
zp$jD-kpNs@At0u>&1WLw--Ge#zcaMQ-haH>xq9UK@#DwHyr!se|6HhxZ_jfVZ9P4b
zvjA5xcp-$^^HaYI|H4NUG4SSS!etpa8N;4Wb#9}P3tVw1a%HkLB{VQXV!@OHFlnrC
z9e<XvP!I66Qt}|9@KE+UJTl4L;z@JljJvgFCB}zo&jRfM@RaS)5@A`@FTitbP)^vn
zDwqyZZ+2{gH|s{umxGoyx6D7QsNec<Ft`5#1QBkpHI&>J)@`^gVXpB+V0@bwjUlG%
z!uS4+Qz}<~25SV$g2c#JGSL;=M#a{O#Er}pg5|~@V~H@Yo8u$bR-0DfjdyJ&k#5;3
zirH*C8>)f3KO#f<=fS%3er{=KwDAJiuUZWq#5fq7UJ{je@qg`)FJk&VsTagMDEjfu
zWn@ydgY+R*D|A~fi;1DO;obtm;TfYJnbxMb!K-XJ{=_prJuek^#jZ-k9cH)&+%#db
zRv)DJW_iai4i2n%g$2$Vpw#3_>7y<Crzg#vL^v<3+by>h=!$e%QN|BlRavOE(+o>k
z!xs_dlr-Ffc?*L!I2$#;KhGVz>ddyMHTk|gKh0Yg1y?2I>+uXa^}}-Je}Q7`qV-=|
zz0hPyDiXgm)Gvl%GC+(UrjMB9&gi?JCb2__<QhZ^T0gVr_x9rG?C2=^l~A2^SwU8n
zJ3dWfc0*|w>;Zzz05va^O|3%J>vZks=L$UO-}j$&aCh5)DCgm6b#eK}zgqZ({lE8C
zCj$61=dD51^H<_Tnyh-wqpLG%@QM0tK8paNITnTQ_3{o8imt6o=UrI6pZq1jsqE1d
zwf$Th_0of34sH>9B|(36ye>utT1~K+KG|KBNHd_53UVn{WDEr`pcN@F!u$I(|5xKG
zG2!M!EEen+cbnG7=N{X}hxZsdif5&m65Nwq241bb4QUS2>3Q|NzWR8CHk?D`XVz)_
z`6%_PKb^$LC788}>YKr58=S!6s!!RdFze@q3`i0~_}Z<@&x5*WAUD~Z8~nq!>P>Z#
zyp7qmt<=Csj8EE$HBFTV<Pk@%ky8n@DWqyrm_$sx*QJTz|Fh$_Rp*c+8v1`Wh%KiC
z5MumIO1$Ny`KrANC|iFm+Fcd=K$HiC{sX{<UuH>Rh{S?;k3{5x^J+gPTGUb;C31R`
znwj!*AePURX&DXk%&4Um>nyt0*8-cpZpy!m`dv4>@!bscHmA$1kQZ_+_d<nnb`80k
zS7zg@ZNoVCMD~7xUCr9_3Qk7;*Sy<HvcngofJvVaj||eE6>40ZR!Y|KpuSe8_#wll
zgcO$l`ZBk;cp+q0t?qo}eaYx<yy%+$`v-F*?(ah6-IZn6)+3J<aGA6kzPBQgj{7p*
zSi_es5nN3YI+ajy@>1@P02y#NUTV%yl$)ByH_}Mn^+<BADk&+s#r<CaO!SY|bdfN}
zPqhIOLyLjpK+qyRIcp2-$$<s5Aiib!*y7;XkrYFJQ~dhAKc%Vale;|D23tGK@Wo>&
znXfyCA3E_&({up@DuCr&gUUvib{E4fHi*2*<v<m<kDT9>g~sZ6-_+$M74t~S60AD>
zBo(scCd}cDRZ~2RT+6&@7d`v+Vz#6zxApoUtI6efiD-B3(|fTHdA==YlxUI}<r~GS
zrU+RCa;{g(f34jSzRt2Q7}i>uzzAx|=g9BjLssnNUhtWREqOCCkg`p#v}|whaW0b_
zQ--!PJF&0;S$*+nCfmnj7Q?3PS66XdgC6)YET97-+Ux}?Pw&UR$9<*@N7x@}4vH}&
zSB32_QBN6FjoINmngULezau>&Gw*xITjH7`d@m*Z=uD)6PmYl;G{w}SUAJo4)=xjH
zni(Zzpl{!={bIi6e$5CPN)ZQKO8hbJp-%V}Ks@i2=XNfzrg0sS>7H%y!}}BVW{mO<
zb7of%50NkuA(y|&c{jcq`fI38X`S06j;L}1@l%+2l&K6Q1V%!}*s)*RG-BEIb;vpq
zlV9iRi|dm<qgux=%krkPQaXPW-zKN)rRx<Sk$!I{dO|0zP9fE<ixIW~tKRPG?0nh5
z_?>w;Y|yN4QIP^-pSB~Wab48#0@=<LeZIo|_t^bchxqAe&pvgTo3GwvjP5w{JvV%V
zVu23B-y?3PaaFoxt_nA&?qbWr7fO>?*d6El5#`ZT%Uddk6z%v~hbJ*H8~M3I#KCpU
zvmI1DCU^>~?K$=x5629UFoalGqh;Gh%Z&0{IteK-Mc^gUwI_=Uv;IkhZ&N;oyR4%{
z6?#r=O#?k<Zxa2p5;t7*w*WMhQoki0Ax1n2ck^t^fsIcQA+r~+U>XHjUg#N&f`L#9
z^~>z>V`t|(O%@6p6?pfOBXuWYA75Z&3~|(D#$y+5KI*7kfr3D@-ehhWo*S=NuYkGb
zRWb80AXIgdzv+Bbf>?3H)6=L&s2g7y*>z@rq~VbHBEGKvXuxzc7whO&c32bnkaePG
z^>jF2%l*OOx;|3QKdzU{@b&zeZ6mNXTt6f_HTP7whJJ0Y;F{eh`Ga8R<l^#K7c*up
zkh6=^aCZI-AP;@Os+My+HcT876+Y;uxrnJSj6BvAhs{3~q8y6<6(@{<Y^34|bANnJ
zhbV%YiCNEGJJcU;LFOHN2!*;R$z)}Ka!pHHn|IIbx7CyJ-3#NXJKb}UQ6d~<8ID`!
z{kNZ{T*0aWS6UGVu7kVU?_!@K&rXpNwtbbUZp(*i3Cf?MBxkYhze&iH(!XLM;>HoI
zgQ(v%Fj1~#nU$r)dL9v~@nq+i@eqXkv*0S?WL}UXf}Bop((FTQ-ef@=90sFU_2crD
zD8*qa*%rg$Z9e{B@miX@Fn_-3LxMPueyfY$UuxzfM)z5L5!NneViX}Y8oAgV-{fBz
z#N|W$=8Y;2Gqp&1=vbCibBsesy;Stoh4n;z%FKf5Kt!UK`$J^j5BZ&N)Cn~AYBM{X
zBB-v-7PCTSFuA>Oy}KW$3~mBWo}?2ni-Lp5f7EwJt=e$5LsS5x_erDutj*p9%Fg(D
zkiL1Q(#jI-u2835agL@j;y>E}u?-K*l`ogc6G}9YWVu$~ubvqViEF_70!RvJ!8h=r
zGvAARDdBKglPLte(q2vNk<NvmuV-gxLBoEsG;z^Jj+n<FIQ|I3=c`l9isF{9L(%(y
zu34iFZ0BE6h3B2}Xj4qSk#lX_U6!StThTgO5APC&bM{Df(cgP>6SmjdW;#_SGR9Yo
zqZ0o3CPp1T#&uAOBMdvG<n)>|x*Jep^8H`KCUUVETy<Fwu?EFMOOGrLs!PfiPJ6cd
zwp$=#k%4yu%x>+x{IPG7iiZVD)A<Q|63-t_50NJdftWmca!;-H)kFA|Z3<7x=E<GQ
z<11BcM#Chm|5^;u)P33}@ZN8S6$b`gwHPCyHTIn{SdiKN!LPK@T99<!GN&Ld;wFYI
zK63bL3wVNF4r|9()OPi7q_cOe)UDfbQ{*kvv<TYeP7ZJHD?PUG&3^4L#2TTZrPGW+
zFPm>?jat(bK5mk|sF&VE_^|>IPt2y>W@o7Z$Fi%r<SV{PbqZtoFO_(&j=GF&ss)`l
z95WxXGlbsaNK9Mur2E=r;$gj6iYo6l5taMv|7-7(`l;TAQz8tEl0hmHeZ;i8_a@^@
zg9K9qG=%v2c+4L5)wjYKsmtqzZM(-`33Q2#2nyD<)RW$2V1(p+)Z$H*UUFfD{D~tp
zEzn*|-D<o0ue+b!NtUiB(A@K8AZ?(<wPlZ2IJnF%`wDv1_>Tj5??c@`JMYbW&TNWb
zG<F$_BT6*<k_8=5J`aG+5*dB2AHnC$%%w9o(uZo%Rl|PrnR5#roJQuO`R$q@t8HzC
zj&w*<<%26v)2@eAKDMfzq&7s79QwN3m-(0FzVtWMDCdNRz;%YsS}_&hkNn5z_i8b3
zh7^|6La5;9pdYv%@NSo3=rR>PZm1rh&0>IgiKuT|V<TT$6j+N852V`NTRW-85}P9T
z@J6z^O%5kTS(h)K3?>X{Lb?z}l;y0Fro+@D3H_$p^h<@H@8|bJ{%Z|BzIP!5!-_Ks
zbPNnEhtX&9Vmc)*2nvL6tV53W=ut!8)ke560`aG8-E1Fs)EmFi3$~8ijVwIvLh(c>
zW&f>yO78p5cdS$mIV8>fk?issHS5ELsk_WDkj1&i?VxPZ>?7T<;*ChQ4)VMs*Noj}
z%)HBsT4pd^(V+bN2t={T!`p7HcE)_0rTV>UWA1R9wwzGh`Y_Pyx-Sze(R%YC42Bm=
z)iZkY4a&O$C22OSuT+O89)8xvF6m@-W|p&x@Shw}RWl!$p`8vHT3@X6GUMx$*$SRG
zziBPx=u(AyAJrExjnIH@LYrp4U(w5d=IP;hrzC(8E3gap`%`-WKutS-QBx=sk#}%#
zaO65%tjEbcJJ$l=`7_c-ka_AiUOMkM9t6CeeL9jFY*vArq}wH*J{?+2Ai&Q3acn<`
zkA8SFL*n0iM4wgX!(5>WSDKX<tSf_ZDGMk3j`O+kIV;r3gRhF<E5^Mk__~>{nY^4_
zHRa(Bp`^b^^!N;r-xF3^o0R#3r0kO@R-KSCX{%U6G{XT+Bs)Cam%)WPcM-U%sOGj0
z`M(hZ*Y>80SB^si+AV5fk>HR`t1D$8Yu()A*mnr6>@rprSk>B$jSKJ4+;nbwj*CGk
z5#`I~{NXPfzRUUH8!;)SZ3Rb+fgHc6ARRDVknW=^cy$V1?qtya@Lk|%Y+3v;rDBz}
zD`3rw)^3^Z!Y5kK(3m^XMH26OW*rEx>gRVqeRq-ba@cZA<h7aExnlROicmG<J6GaE
zMIKk;`yfxm9WS@Fw6#g!>}q*V4_jfUpI0BA7Oz&f{e~t#4MmSR{!soc(L3q<UAHQB
zU=wHzv}C5#RJ=h}Vid;~zSY5b;7w0B98y4*Q!6_wd8Ee?tMcY7ZNJVAPlBxvHrZ*k
z(U}yR@F#?Ccyp}^>%>~IZ7vphtl>QfHY*~yF`MLu<zJwT?XIGWW#}bdf@s&l75(mf
z_u`@orCZn4GewtODMH<{H<vCXxkD+jk@V72c)$S+ifZS#GT$@MCH!)2Wtk1&{;<hk
zNmm?zoMm{#ZqqG2L?l?p+3B*nh|CRHb3mKIz7x+iU%UqMHgJ^lWYOR=omOu|nU~+o
z3HrQLT%Ic|CfY7|CSgrk4B^*;mc~3?qUDRil#1M4h*kh*_stVCS=-mGi7_g{4Vw>`
ze{IIRA(zgmhywinpF-ISxTTd;KUg6iiHAu-Ajc4~=(2&8BC1I#r`vBBtB%du6{=a@
zHa(QSSNa6=Z3otPlhFlNS3}MQW|Cm+z+Szer5g16%w6dD^a@x%Ez()nFUU;w9?DNs
zXF^`pIQ8f|dxHY#Z0aN9zefZKj0i!U@8P}LS)J{9f635?0^gFQr%sJ_ib%rF<`nWl
zK%;fp*u}?3xDDv-i5{@P@~6j<wN4s>ijP^R;zoaSLgOJR>_$Jr!HnOTQ_sU|?S8p*
z$J@ibYoXN3+w`qs*>Xi$4V7N<MpH_LjhYY=(r>p5q$c1`|LNgo6`f2)<<WIWieAn*
z<mhB9!<`nyP;tuPh8s(+F3tZ4fbaha@#nTSBQBW8+gOT{ou52tvJ~w0NJ%brn4MlR
zZ)8$(-)_1_vT12tw84>9lIvF&kZnuUGGV*-48+!0tj(Y0<A6<R#^~9^C_b}U>;ON7
zUxn)NPOE|g2^P!`D9B^XCVy5sO~fgq_YNsBcoH+D6rBN*tEyv5mZ!47AfbF^uqt%F
zuE@<Chy0a(k7iXb{fD)PSz7_o>vcbQpXh^@&dbn`QtZM%bJF1%4I{gqE)|A@VI;oS
zcxT*^4A%q#QE+T2>RJ}`%7xGz?pD2;Y1iauSaJOZXdW1Qd20yT8>IVqkAD0j6Xxjk
zn1;-l>}eA2E*rdh5BM-GlTl+P4p+k_HJtv`#?ZwiC*i}pgpdwb^PV_v1MzZM`?40$
zdsA#R?@N_TK{J0sOiX}`Zp=JCDeRhcT8A}tc8&{lDp|79K<vkc4}Jg?hRFNw|E~Yl
zSh+4W@bN=Oaag2NewBXplfG^c-_|jd6Fmar<m`=Ig_a>t3&c^r53Ww!gu=0Y=CoPS
z_0SUIw>|<LDJDEmI`2_nG;33%>P8DU8c7Qf1X`~~eB~f;vM?cH8ni^4hEPXL)eLKO
z`dVnr>u3^e2AiK7)b-p5jQ%CApP%C95cj7lA-_5-oXx(|70-pjH_CLvj43NZ)fB{M
zE#&&43<;}CvPw44$LB~xj0&c;IECx1?>)veJ#Z#D*9@JKxFa%2fm!!`co?ZUyu9Qd
zcS_BM1n@54UvM`mm;Gs32C7}cXc>ds-M($TLIYu@vsB71buHyR6KbJxrs3sP1T30&
z8!eSq90R0zaV9nmoBZ1+l`J&}d3e%n`7m;&O6?fs&gR9C(^bXJEWPVLf5fthjLj1v
zg%fgxw)<th&8?qfYK#JCd7wiEI=j<ejDFY<g$(SSciNJ21drFsDB@Hyc*_pr(+aJ*
zCbLGuO6J|5>A?IKuS~dB+4}yMNKdjV>ox`5kp%1S_$9tUluMQ@E_(hx^pAv1E7g?@
zoU_53@CfUfrdPd)va?bp;R4+t`xd+h0R73cz1%+x#2{SmEWumW4u)oMdPUU_Zf@gF
zV^hH2*Bsk#PCM2hmW06iC#T!;wgcG8dIUzr72q7Yw&F^h_O1T<dhFMaZ^cc>xBrx-
zi}YWs*NOeVD*>)8vk(^6pOBx>L>Vu2c@!l$4xOgqT@ACBmn#PZ{Fw-8i#*%H$fSpT
zv0d@~ir3KW%78n~dRj;_mg4Y#T7WV<%DJ7TA2G!lm1msEoNEx{I!BIGgH12nSNE#5
zm{9nL8S$`pL+NhnorM5{%a$^%XRr-sKL-C%Q<06zzOYk3@F8g5zC=P~yFW7}jZ+r$
z`r|+vh8DJqN?nE3qx5aW#e=nIicG)$xF=Yh?VTB7D9Ium>(^TXz1-1{SvH#Sf3fDJ
z!<{qgzpLXZ=kd~&O37op&9#}ckNRT)T0}^w&Dff5yV9DFjevC4vK}MK2F8ESxka6M
zk~=!Dg#0D(2*H)3VPjVKNZ=J!{`BzV<+fvKRmWkNwJ{y!hm!60W(3oZSsX)2>x5q@
z?B%<w=b+xu#uP-6tUI+c5=%X1?S!Um&hrkDF0^Hq@UbmT+lMLz$Y5(qAi`%dgzkOP
zk^_KeB};LJ=heK~gAdbSAvY{&duu0t|9L6l6<2G8JS!TNEq0uVQU=58EhYDuz8K5&
zxqF6#5v4&YnxkX|Ue*E<VKbS)S$ILjS-)k=-7g#%q(V&sAic&Sy=4T^w9Z#p_Z^Qa
zeK*Y?jTZdU3)P9Uw!kpNAH+v)G**!ZRXfYai=Qv$N^2}75zij)E-w50)Xm>eUI^JB
z<}asMZOcQzNY$v^nsGfdr8?Jg#Oq)6aPk4{tr;18p(GId@uB2?pgO|SvfGWMcSDn;
zC^3oXRGqZ3tg#GxUjD^;$=*a>{64_bXg<qW2LpwW`%S<1ben|Mp%&KszNqNi=?92Z
zCelYUIHW#RLOs&-06ZBaW<+zds^#eck_NXUa7}q@PI70-(+aIR=(FPRPC>-{7rrSG
z*w1#Sk1vs|skGqjcmLqhxEcL!XNushh-@fjsrjW!L9eSFcXf8*tKT3I+V};S)e4P2
z9GzU;-)rhT*PEG0b}SybQtEn+pr%c7dljirhIrq9hCW<)Tm_%soHegOe%!7AWwOaN
z*&sXiZ_usg(|7N^L%5J>*<@sGdL8f-v?}7*?LVwmB@HvE2S)`yB?#(a`QwS|yv#N+
z_pAVZA0`?ml(M<Tr#b4hA>^RQIr>(EkQ`tTS+&q6Fe+a?`8c{eZmLJ}#vr<^-jPD%
zDD5iqYRAxztWv-X;xEQi)bPvlXW+<2<w1vX7nsuW$4K5zfsKjs7S9M*RqH!f9VZ))
zfPZ$6q~BwNnFdyUEt!kT(K^YZr@X6TCy9;f9VCCt%UCfHA7c*qJM3J@TarzEueMz<
z0qUbwNEJVXU3f2y@^YcINwIjgg#z=dmK?)sLCist3D&KqN|BvOWH(yRsS8vmSQSrM
zB)31N%B?1d%(`Wv`PG}e-y+Et5`KtPJ}D{OVV&juO1T7e>^cD8B1IPe#tC^FH{bp%
zF*_krmp-CWlk^fRm1VeH2Sv_5@O-|g1~o9$$+?v@md+md-S&{ZNdR_gjS5wTXUPl%
zO*(($1fvOhCE_L-H0l$RzNMP$2uUJqF)<jlFvA~cv{gs(YbH7n*<_ekSW8Pmsw&=$
zfJFHr`>+|FlkAt|CRRe2CcA#W1jD{7_Lu0tB@6D$)`Uj-wbc<GDBZIc^I`g08<3qi
zTWM80ZhXLC^nJC54v|(obQMGyom1GLFLd8y*V%-FAbzEC^2rXDX)i+TVP-=4ys~@z
zJjR469Vhs5K8V5c>A<>Y`a9BH;1wNGro=&YCqu@IBn#r&PC-E;qH$;X8;Wo$%s>YJ
zc?c@1q=Yf7JRvN3-%@I3noO0~k}a>_jMY&im{->@FLu8cmH)`h&UC~pzh1@@F*ZXw
zKSGkmfB*-{RP4>*nra9Yt@dLgLLR~$cgS39v>P|Ag?lixLH+R2(GDLEtM;)cU23vc
z_T-RiS_z7KG>|}^npRhEZ9lH@-fG0kRM0-D@4nDt@B`Dtgq-S^*2SZ`neCuLDoHKl
z@M_iaMQ#HzQ5hAUFlg(di^+hK=-P%)T;vRP(5&_z9?jaU2A&)2o8LHt8M(>_Yc;9p
z)>Cvb<dQ62-rPyYp$sp~V$Zth%r06!SY8{$<!B`XHn(3fM%jO-;D1LTO1G+Uc|}7Z
zn4_qFwqqq}C>U|3&2L+Te7$~K!`3az<0jF<-6i%PtMln*mF~QTwFQ0pLg-_>l%+<#
zO!rTJiSiu5tAIMJR2%J(x~ldTfk+34orW0<d7EQH)dB~Th(LcTeFXnRF7|O^pL%;m
zP=)Wj%Lo*)Jye$^D)FB4%?(13xJKw<uO^n<E8gec{Ur_phXVauq(6d?0sxytQzZYy
zaH`v=Za0Arc{Lilbh>wGe8f+tS7I0iA~&o(9S2r5%pnss<&*&`ks>41waL@Ec*k9G
z-0Popy_S(Mu%J$_Of8_05hZ5!e*+e~|CbO5_hy%SH&KY7w2zQ&z3p<#RVnM3pm;AB
zUVs?H=1uB%O4f}fJ4?1C0*=r@Cf#b~N8&O1oc2n#Z+|Wi1pWL_aSKuu6pE{2J+LKE
zLwm+W9++c{nj2?R&d(<^*gh5$;2RZ4yR;MF)WR2$GFg5zEZ3pk99*5+;v~=5{C1Tu
zpe^8o4dLJA(LD@17h-!D*W396b$xi7`DXmp-}Ud}TH@cute|@m?>-2Y{8`~h{Thb2
zRwQLuugQ|~p5tMEB6_GfMDswVW|5Gz_#Tdz%!5d0OA#l{Sh{!7lR%J_!6-u7@Qqxl
zDW-e&z3aX4m^x6;BcLjS<w42qY=Nfkzc&N{K)A5uQ@^WO;uP--xq(@L67Sv@xIlB$
zvb6Pp+I=(=-jZVip1>$RP1i#YQq5yV(l1+#?6Bk-?fKr(nz@tZ`1>*mri22}?5Af*
zVRZVCZ;B9qX<kg|j#lCNyp7r1L=Zrvh*R$z;em7N*=tE;r9MTJK^=%CJ88~xsG%6N
z?$Ei45lD_I2|3j!D#4~<3e6qnhM|PK6XJokUUXUhShBL7qzH#Fsfit@53d*L>M(&=
z07X*7;w=#SL`5<<WV=f{UZJLo+i`ND!WWrB_~Tufbj^ysq<=PU2eG$e)vR5*Iq^U^
z6laZ)3PeBOm0qnoXTI@ZK19)?5(+guzXQ`NBs?Ii`mx)A^brPi60`b0leW-!=kvW)
zZeT+d<eNf9^C{nu0wNg4(*H|A%Rs%jy1Mcf3Eg|wg&b@3j`=qw*M`y)#c&M}whE2w
zwYeK;;Bkd>XfhlTmZl}lJ>`1n8o@!P>02<yJKnQjUh{BV?>i4W-$cg(YCmg1qRA`J
zevDt}yA!j%Ty%wp|3zLv`O7@%a<?%^NIyfKfOwW54ntFl1?$cQYx^dv`*JJhwMSJ*
zJCPCo<b-xr_{_Af>_9}y*K%u9^|*(xbL1#>2lD-UN)mj-oU<;AlzN0f5h7w8sQ#b)
zrK}Wa>ZJSFV6ZUI(fN15?tGPU>JL4oITa<eK;q4G;qIH}MT6cz^4t0L`o*KYzZZ8~
z@48T8cA&4hD}5507^nRS-doYmwS;Ex3d9(_-Ia>|kW2~TLmPvJ!vb_21`Jg8pd#hV
zg>s__6<xWP8XW0>upCAxSt&4@9o|-ANUEqbCKY9RBuSTYrqXfq*q406J|)7^@F`~#
z-!rF?F#7yJt-<ECK7u$V)E2~}re(hN`ayoKLiHe_ZJcNbI|V+xJ)clIfLsg&pAwfs
z=t%}eOvg={>xccy%hxjjh7GZrJtW@c=WW9&*9N-~(87ROAm0Mmn)df>{@P%BJBE&x
zo`=}p62TYmvFi0Q!&n6MC7AQA9jlDh%y`ywTzi)64VkswF~0&P?0h_3`h&KXIlSuR
zMya@MP;zg!30miG`qj_)As2U<A9IMC&Sd5zyP25$5%s;Ubkd6|55`QnJf2^V_oB_&
zCv3^Z$CsLKmAg{din6bAu|v9KG0d-puIliuw%|XRS`ZH;GRK7lz(bH+jT`YI;jjb%
z46l&tNwe7|&aJ%70{5U>LFxkmHKa89<nE0NpJrp<N6m;ZeM+nC0a%DdI-WGv>4r>u
zPg%1M>>S^P%YyFwF}p^yJb^xh{1X!<ab2H0Nu*895MU!W_WyD8jK6t!`4L<GuLjVI
z{$HDEi0NQw$2MFuI%V~`)U*Nd6YXViNv?9|%m;i@KY956nsT6jf1hVIRmIhFWc{1B
zEIS*|KLY=aChSb1X31C%VRXN(+WV@U{;|~U49TOcnt=tOVRzQwEE8i{ngey-1mtT$
z?Qfs<(a-gwn1?|nfgi%AJdv4_Ho2-Ec?Mj1?5KB##`MNNt*ln8hBVNMbcRqJ(U^a(
z5uM$7ar5?DJgrxlUKDLDIuH-n7*f@3Hfn-=CkfOcixr75o`&Z29HGgr2NBAU1=>g$
z|J)qJHJ%2@w|-=3=CDp;{~L$I>)V~;Q6`Bn(^`hY5u4Y@vzA9LcFSPpXxDoJmWYnc
zsP!)CeEqIVc=Pga;G^K>-Sfq~!h<33bE>Elj->8d7C<=C>0J3x1;YCHW0I64!esK}
z&|=5U^jyoWE0#vu+C-$t!x!@h_>!Saj@#{uUweF@BNAWqmw=ba8zrA(KC@Gr*;H1u
z@jP=I?7~Dg%wD*RjAYss??pg4L^D@C9?ez3HnI)cb53?7{qnU^2v?IFiTvlcwGNrG
z<PU@icI}$Lkw}?%6k7gpdv|^UBWQy(Uta@{t7Y=B&@5Jj$mLDh=L<tmO0?_4wmQ1O
zsHS9JW9C_xVJ8oQbOX`SIyNft2=&peLHQyGrgjl_4}`pzmg0f}3KAppO|jp+V%QNQ
zuTd-Wf3qjF|23LPpqDhB?<^bc+)=l?=rz%VL5Z$aLPrxNLxm^v*j+wyB`{ju^&pn6
zKTWGLMbd}jtrZrBoxe^-7%!&dc$qTiPN(co@r!kTThdh4|D}WiH*D>ds}llhoyLvp
z%U?if{EV>Ei33)a8ynr)etrHzMNsTq-ac@PN3Q|MhfEpuTmhJk@k7QAhg(+^$g_5N
z^lTPP9mxGAf;F4cy#zdGWkwGd;cjkZ07W=Iqkw}FL|aB~-1Z%o!3Y{Q^jM##R!=Y|
zHIDf3K5rzvP3PYQQ31j~hx6vQa%ok1VF4-n8*d+0(@|x;#_I-J^T&85<>x%Ary?RD
z$~Q3yD2p<!osEqkD(t!;s#?(PScr<Tct%4O_DB6&T@kgev{Te`XcoyWLF?7|I_YPh
z8N;Zjl|pW5MQt4&o5sbAw_zpp5fiO~^B)fGroT)>X?zW<hVN#%*xv>ew+-{;FJ%cI
z#zzLYJ?1OKz6L$nR93o={;Gw!3mT{&PNdG3wc$b|e7Lh1)MEO5oYoA*j2ih1deNd@
zbA(ho^ZBhPTMMHz#ilI7ef%Fh!`QeM9igiaTg?xl^$RNZwO5TbPoFSi=xVFz&IiUk
zh<!u|(Ls@g3A-CM^(#R`5xWHG6IS=>oI_^D$^NkMgI3<6L#9wbDl;_fx0-=~07diB
z3Q0_bS@|I~M{2ll^<(}$r%n6%-~Uw)PbIeY|EdQXFn0&i#-)Y?>gJ9#Dq$g+-ZS&*
zgDVkVH6T&>Z9cK}E~ue57_Q$8j;nd3dF+$bk)Ut6ONA=<qLsGabGD5Z=}OtL5x(<3
zhXvR^_nLDrEH0MWlD!nl#&117W>)4zWfhp26oyR(*LG{kXSYGzL7Z6CgB)|p`%E97
z;qWkh-6lNC*OM)pc;<^=6NdN=M<-)EXbW*0Vu1#FmHy7QaS<p57KGEKozT-^pva--
zN;2C;|1FbmQeyzc04$<A1RtspZ*)47x8A>Y=?-M!{bdz<B!$(<3Qg?u9NCRfdC*ds
zL0GM-p!I0nA55DnOBOOf_80Mo%>z)WfegXT7Lya7*o$Rby`5&c6rM^;b8pqlqbv&d
zWS-GAcOhb5?|`l<F}b@Q3{jlde$`(Ig&NZsP><^ptOU2S6sqyVD>AfUAh#qidt-!B
z>$Ou;Gx=|0hi055wPAQHTHnrAoy<cCOsGwHkI%%#ei=uB=!<ocC^Zjr<FBa%Pir&X
zY{R1Ybv6IJ_N+Yc_3+U*W=tbXWuauQPN@;|-#<7I_a%%_NH(e0v@xcGtFE`X@f801
z(rME3I4XNx)7k#V(j%MCuJIqLoicB?1&FwSuiaa1SnsXjN*mp!P!+wW;;Z+sAk30%
z@Ez+{NMzJ`9wi@%E;&yXE&X7u3x%Z0-=zM#HGD<?sgo4X4uIMc04yDdL!W#VaiTcJ
zFVaVM2FyC^XMoPDT{kByi$~?Bi>3IE|5gb9ZuVLl*1H;LYiy8in59sh8Q{$&`;GzF
zsX2;>n|pQB7}XvRP90k^u=&jCoS-2Tu)E&YbP)E=XUi4aPA-;516|E9i)+alcK^7B
za_f0crk*S*No3M*6jWmK5X{?!Y0E0DxRn1Q0<3;JO;6^c1~}SNhm~LHPgwivZ`|7j
zIQarv_4`?HnO)Go8nzSLp4<~C$zaB)_hErUjeXl=Ffa8KXI=r0QIW^X!&PKQ(y>5z
zbOc0_hE|$|O9(L#BL~aKnjJr}<Hm#u3aj1y%&^tw_u)yH3Z~$wB`jjkztn-q4gbzS
zz*FDYU}MQ9YdMSlvl=$}5(Qsz+UjGq{C$3583r=eY@(qv^3lnRZW}06BymgEZADIg
zZyaS&eI*Y!?qwPmML~sZ>3gNN$U9Ah%(rnE>+|mt@nSxSCQYg#<~HRZ%jQ!3jQDZ9
zcPi^U%TgImq2#b>JzINzbxB?IBI<U$<gse;CPsP8)Gx;%_n;+avq0vsZh1`<J=rMg
z&q1^mzRa^EQ%f7>TRcMe#05#kV1Mm6%x@4eEGDtcG6jy?wq?s@_s!2L;PH0+-!D7k
z9}UD;C)_dF1mKs)FSK<Y|IFYOch8hU$xS#gz<ugBpM~zj$4bI(wryztHH<{@9k5<a
zqBsoj<Kt8H+K=mXb|?^3Tj<-4TpyTVAAth)$W^=rT1BLg;2`j~_Lo6?>;{U&UNkrD
z*?OB+Bf<Im#k|{JUA02vY^<#Io{o#-Zzz@J2#hdIP*+S`TjsenD`rj#*1ur>&p3?Q
z^SKy1Bo{_sLp1^s(qIEtTSSq!eC++@s%4|5$~(Vo7J+<J6L5P!NL}wQMtfn>mDLKB
zRCk+7iLncz2Ljc`fWru=oNmk{Ew)iGfil({K&S|#soxcFY$ME`-1sTlud98feupE?
zI@P#zdsUqnUaeh3Jg4!A{LOY(0};GyLq_)D{*`T`mB!4NeP~ziV{{gg1a(grJq{l)
zY}giO5)z*Zt$wvc1_d`X8GdJSy^bwG;Rb(99wNlk)E6;Dz>~<D)8FUr!$%#Mj&kQt
z3r@GxK(!BtqA35OAV4}O&KDC6p!d?PN-4W>7ZORz$@!2SmDMy_JBcL9ci2+$IvE`9
ztoHUk!=K%?)kLdC7hu=%yTWd=t2hjmX6aY85ytcA%@Zi`^e#O9{dQHniT~)>ffhj&
zq2db6)*>T2-TNA{h4c*G=5C9z%4ZvX%?)CdF_xOF)=>SMNB_P1Hlh*O#9NmeK1b{g
znWj@=iHpl)FItem2J|==O@H{+|CX|_t)t`GZG6GgwU-ukgo_hvj&xg&t0ybuYi>>S
zX5FHV)Ce+qm1nqJ>ZmEOG&Cf{46Y?H;X~@gIHGjrKNe-*2qN9a*Zgf?J;7Ea9x#Ec
z-{jBUZ69COk<$qIqwm@6kI6xm>d{y?b97j~X+EoLbg>*_R8TP}j2sAXKbVT?Mc|0C
zxdn!S<P9NGzY(6dy{cuOY3oFNi<a%^VvJI=>y92>uFxUz_z>8y5;d&EyU`{Cfax`)
z1WY*X>ZsF>GQpzN4|K9oUljBM7$)8gI#Dp^oHeWVCZ4jDX5?Fa%^5N+aM%6I&u`6~
zU750K{`6Aomb2<WJe&9Trt<q(f|);oF?(7A+^=ha-O4MG<*Vn1#u=}hxnx9*03`D6
zt?8-eZeOzWVDhi=^ml`Kh0i{e2-qNl=EsjR*9kc5=-aWFv<CBc{uI1xqZSm#+iN3A
z&2LUc(%u54-r*thFsC~gasbzPW6a{w_0ON;`M&{MvzfMqFbAFDM;dQ1Ty@R2CqVr%
zsd$T*BR%wezVGDmivDIt*DdcMZG8<y87OrAKc3z)s;cgL|K5~>gdiZTlt{O9O9+Ap
zD$Sw0yF<D=rIc1my1ToiyQSlRG(3y@`};rV4KEnOA!qNk)?9O5*XLSV0`6Xdr&#%)
z>EoBa(R-JCrf&|rbZ5>f)SDd9^U1VSLN{Zr!aB&4C;SyuNj+U0!O2UqNnJHeSYM8>
z^b=}v7MN7CBdZo4io*CIS>cVB%&964t>48l+ia-pF{7)yBE0in{`lf6Q!?3K)=})N
z94MMLLQh;HTIx3PfYTDAJ&MA<Xm5YZDyS_Q<Pn#_FXi3gheZQ%m#y_CMc{6&pm9?<
zWUv%2n2UW}hq`L4B46@I>Cc&&f$X9a`Pda>{hw88>1Rc6BIM0v`R3oXQ!+iL3d_8I
zP$5OCIbADvc^Y6_W;NOIHwit1AU%xvvq2n73yVhAvp(oUekEoo`xh8at|V<c&sNna
zhZ}2LvOJ3hEenz<YVG%~FtUNpCS1;h!A-;R(gA&PEr+xL!#L@|wl9_!iL1wY@Jcy4
zsAKO;Odjz?L-I#dsI+uh&a3rMagq+eRry0p9+@7zZNsKQRXkm#8@Wl2I{{ThBW(Em
z)}*|4#++RbYOzTLUbfw{J`^7yoNh!8D&M=jh(jPpq?nei^_2n=ePO4@w>gSGKg)c9
zw0?f}B+?;lyQsi?AIr?dnXklVMqPL}cDn|<)9@an#kT2m)APg*UL11DzE<+=ub9*!
z)U9JRHqkXR*yupTh6Sqn_42J~+udbVEd|qJyhWaMJn`YP;VQ732{_X@&8?W?d`})y
z5#ClcZV;^#ayPbbq?2SYBX`ZL7dAO7+P=I%RZ04pS3v>q<p<0jb1sIE%+^r7>UlOv
zN)@_1rLf3>S{YegkMZYCU7=+By!BU{hOi}>r?=r}xzp;nu+7S|POV{HFHqJ6*1o!S
zrGGIm$VGw=WiQwMcE9fF|6pYh&b@U5zN3t-OZ&kzYUbB<55>|DuQORlt%yux>lBgI
z$G>_q$ZU_;CUX`FzMc?=GxqyjxQ9x)Il^FQ4w9)X3C|Ko+)M?p#61i@m9}10I_L*&
zEPHQQx+%FFWzE+UZQTK0W3M?^0h933VDnB{k`8b2i|2ou2ITfIVyKg4Y4#oYrJr@%
zxG#ZBJ*9$$ndxfA-O(&5;5i~fHrT?MssiUn$<#HkE1MF1yv#<LP@FI^eSDvlT>2Kq
zyN?Qxit!V}vrqyKGvUqslG}S~5ySx00M=EDl(LLUB8QEo&!pYZ$g%{&WbO8~t4=cB
zSL_~$swLS@<=w<}w8@Ua-aZ>{O)<T#$uvOy7+|WDNbH)y6*O6*D)Pjp3`r(ab+lC9
zu++Z5N(oZ2l%S-f^c)u0v;DE+Yg%6eE75VU+kMSltslV9M%;;+z#LAM(~!0S>+UdS
z{)%Qe1b>9hE6Xi0y4)E}BG~^;`kSPJeco#q7gw)8s8<=jTP`EQGXwY6AEZ1o=+Nmp
z0=9fvn$EVdm&G4dBW;2pWuSF(T3Eqz`+dr~6=pLRuB!Lh*?jA%oSycvn9Bk-|4Pah
z9Y%kc1nlvq7D3-n1Nb)qbc61yeR5RnQMiEKs%+P%9rr$Aitq6gX~$%Nidum(oQboY
zK?VT~R{e70v>~M3E=IdN5A<L2lS}g3x=!4HC5>n@6`3+AUPD~F1OwnlgT9l}jS1V3
z8Uc#oht)@vj$kXxgUhGi$bf}%qyK*kMcnVA?&32m5`?@*dvDu5$50@=!H@EE$JIn(
zN3V26uISLPPKn-t<$#7IUEQs=t4XHL(EL*f^rWNGL%8iq1LM)*JHI;}gX~#jPRg!0
zMVqqx6qA9XkM??ttSv~)n5-h=)gJPUz`>#QDuX2v+<{;vPJBRS@I*IedT{cTTOKRP
z_-oM1&qjfa{fyajsvA!Tq3MrMln50<#UwW!(yyKo=a|wjgz*X<h`&!~5tIWRr}0hL
zg%(a-xe;y*%acFk*^nj*PMgmGp)NPk>^<lPhubwNSyG=6-y6C^l=kBP{3p1(Y-;R9
z5-@i-+Dk&oC+E*^*}YkCMa<`(i%~B`b{80>B1nyd;9z433C%7{s6~<mO6CRiNK>_o
zm3OE#!KO|s&Df%uug!5#<8wk0`NTh$OnEFR%e+Yr{!&wMjrws|iuu)7H43qWtx|LG
zOs0<$XYZru%8xGHkB$!xz>TXB&ef0jc#4`!8vOtkNTwE6%95kluS500P05g7631`6
zxm&V<F$CP$Gb-i&+sQl&|98+}0IR2VhdC7WNVA8d;+fLZf!s8?a3nUzIoGn^jumsi
zL~S^@ek#@~Jo02PU`yL*c&?@%Y+Ot8r~?nlmlS)h^XRJ1157FIg6B6jtv}2|>|Mm+
z0db0T#gne`MhrPD#({fk<hCSo;r$|*biw4R70!tC^5tA%XSrU8(1<Y6;Jxdz`9VWR
zw)GqBEZDuZ<8nU=`i*0ouoMJgk}g{o*8=Mk?pRZ3iktmGiXViF(Pi_D<KAFozMQIN
zg8UY^vcUv%pm|*znN~k@c_^O;K;*au$L`{JwgA17K&_cH!*b3fbn7`Wih0rAPy5D$
zbf3n8qs!mqDMWI#!J_va@CMtM4SPPa$nGve!VFu;(piIF5>(lJH*nz1NXT_d=e7mt
z8!(PHiMfE6)D_om<+ZoXk@J48k)6rs-qsM~9=7YY0e`nNbuQPmD8E~!UI}Smi=mpC
zR#DZub;NZo_w@N^QQwH?|4$2`-hsXmCY7Oy1Y{_V-rRjlsn6-fT?;fI#wdO2ul9Z(
zdy)ulw>lQ8Gm5nYS+5DgZtu>UOP+my*zDRBP>#TlM9^sG$b4gU=^6LR?xkWz2u5Sr
zL_!T&2&|9zTX_eOfV~ol0lxUg@?Wj17KWEm>>_Gr)f6R9PgNgTcBJ5#Awg7{Q=w~n
zaOK69QZ@~+l0#&!rL1{pE!f&;R}TgRsK2Zam1FRP=U+6fw#55&1m!A?Etjy~wym*F
z)wWp&hQp9k*AtVbGwJlL_XfCsu9a3<F`=00&#rbGrD>6meOreeOg#m}ftpPB(NV7D
zlBhq#hU_QnRlnkrV4#}*)w?N~^RI)ebF31kN^`bbw8?Oeo83Kdp@5I%sXK!kQ4*?m
z%i+6MZ3^Eq&z~KG{r~<-@zSxrsPYA6gp_>OvIpGvu6OjGW06wI;FSWNK^J-EE)UoP
z=0HjqaJlHSw;r2Ftve`FCZ~2#x+Rlr+TX)leIHj}6N8qCYa??GV~9@>tiidJYjtD}
z!j?jW!Vysk6<Z9F7;P!~^qp5O8kU>X_ODf?rc>Rzl2|b;YAsbH&|x0&^&F#%Wn&f$
zXGwe{8R;bDYDHt5Z@N$^fPU`sbHE5T;(}%X1%xQ+jlhEJ&d~ppsjMTYcCvq?%=Dx3
z&(HKPBmS?<D=I4LJji%Hl|es>E)b-*FFKt);e$ytDXQy0WV~;=P(H=4RQ8!{$OXSq
z`M_Ee_$nnZyk||#Q$CZ>im;ORuRme(ZBsVO`4dXOatAUun(trzIXs`*m8Z!9atwnU
z1CjdCe~B*K)Jl2y!!Z&c(5soytKy5!#al;dqoD7o#F<C6u6%-T7KBe0go`R*;qoZY
z5NWl=JDh}h1q5#HHdpRl&s;swSQ8Ht;uET^vmdcc(lQTx2;Z!34lq$-?7*5i`%buo
zg^pvKQQRbJW>?)m$`etp!Uzx^z8ipn=HlBK_7#D)jE-;-;Y}r08RNAA17o$n4o?P9
zyE7A9_>li~tUt^+1LYTJY3rIXMCj4wJm>-~tJS+24N#m_OTEgQqNsbVdGxb}9c@+#
zd-2K{3v}i*qhWYwX9f2!uI_*uIgNmR%6p6x#oN1p-Tpiov83@sCi4IgMu_^Qm}h;Q
zQ?On)TC<46W`t-1TWU4fs2`s|F-d&9Xpg_7y;rvk=+7bc(%}$eCuvXYu=kKR+lL!I
zRS~`UFm)S+=!*&=%GI{mtA}pEk4@&yl@Q#)5$DeH3u*!<9lIYkpxGKhD`$D{aal|H
zL*KDWW#Oxn5wH(C%u+5^XVuzbitf&N{HAZFQv|_6af%NO8p}vF5Qpb=wu8Tsk7@GO
zI4(5C+XSzr2GaXsnzQAy*icvJ%3pZJTx9`b=F^bE0yE^$hu8SH&DCmPLi?gk60y&_
zo)j4fXnnLZ+@F-LGWj`z2!YWIqMST+`wYQ;<ee2o$1J>zks+gY)Yv^KyuP}+TDbrO
zNWMmt3pLu1UbKmcKZww4I(Ds(Q0hP>kGsJ?dowPi4=xu*H%e*Ea<v8_IaRZ6k*1Zi
z<9YIQ=}y)YIwkMX2)&oPbX{W^cfJb0Oe;<q%)oBR$jFe-`^0to7*X|IN5`WXL%T84
zN+6<Mf=ipvF@K@}E!ih@Ig?k8O~d=hC!BH_AiQ#IxcY>HwEz(Z!M6F6rPJY@LiQ}s
z?3<<K{){VY&;`b>f(fw>Tjqtq+Fv#XSrNavx-Anoy}gg>4t28kYwbrxGx}5N0=O@a
zO76|x;vl{A#R{YiVJuSNJFIm{$(xdp1ID=AGJi?4&N=zpd!B(N(vj883C!OV2Y!Wm
zGmgrIOF|saO`SQcN<djp|1#)*>oJKO^@X4-=dY=$T?aggl)*=zci1(JBtpy6D@}rQ
zb5eD1mY3IxiZa*->rW0p&^b6bRKiLSpsu_TVFYLj<h}p%A&0!lQQemUgI+ash9R$)
zWRZ0dMQO+BMDePJ4_?|5J-Aw)rhwiS=sD618WIMSP8Lk`4W~bCnC~^D)obT`TxlSt
z6<NIhcuKeW!^#tN2>WP?KOaGvTvVnO9B7S=x58eIcX_-K<;~4rXx415>^hz;)QCBf
zgx(c!DT_IR6oM!S!XB+_QfBGu-ur^E&#HML%Qq0`L5IFd9Nhp^fb;+l{3LLjkH+cI
zj;gVF?i+*Iq!h(V5}BXuA$P@WZt@vIfHZ6Ar*(b;_ogJLY>qA07Mx_bh{Xo9yz|?o
zYtY^MkjLFhPsx=s2;BB5=v{<%9v&W!jx>qNUuEh~`gHw}I~d~!<6B3P49m9_1vE<r
zPZ>zU{Uvd`ylvcp9V8+$vcD2Cu~b4fUJ8aOUeo&rnOdm5^7C6Xc)^&B?i(v2Lwn@7
z<y8}pqV<nPTRTosLg6=~nHpEkoy+2P`<d+Da%SX>N(bLoN%sg2q|?0wSvk6ByJk_Z
z(Q3z*4qEnTwpO`(F`61Z6~Ob2*V4dmQ3gL^Eat#mvMVW*7Mu@&o_f56kjM=D{E}nC
z7=d@aiwDJk<aJ{ouSJmar`%{bB((VnCzHZ-)nxy@Ro1>ZoWNz#oC_$O*Hq{#j}I<Q
zU9^UHsgSirFfiXf`SIc;Vem8|jTs@6*0g%=&<g@_rlh3UAUv17>koQ9fsP@Dvdg2E
zD2(!G{c*;(^F*sdPt*p?syoZvoonN?Jr$qcXvu(%j)mJ_7wMRJS!KBSwXqusPP_H%
zVY{JPY_UPZ$_<G@CtOw{`&E4$GwpXEND#f*a_+(9Zq3s%k=%*8_(oyakmh~jXZ}oX
zr1K!-Qk8)%IJ*u4MA{8N=uQboU2Df18wPr3k#3u{fkb-W(ctz06~BGl1$=n#YNvJ^
z<zu}l`Gkd^wqtkYAt-a1$`O*7y=fcVlm{v>Yt6(USd)9L3gfAvuEL5aEU$<5k2iT3
z3cZo1jx1q-ByPUM)F9SEeqlpU<(pIw;>b(h2eZB(b}$b2%-);ggW468Dlj^yVKCtc
zNT0Yx*E0t>U9}or=<j;}DYT^oAQDF*5Nfj_qpsV=zCxi!|Lyv>Ix(cwzR9S#j+15S
zyEmgYW83VsiqX)^O+e#^$SrTv**5JCj6xa<?nUy=p(Bs`$HO`gclA4i|83AGgnGrh
zAVL}FDNEO=C2TkXXW<RtrR6UVVra%uR#xup)Jn<ZvCd4XGWB3c-uySyxg?eKHHVTM
z5jm@Kx;8P(N%3Yd00YAK{iX`W8_9KWS4!qeo4EGrGWJ^+g)U*h&dy<OQjhzd_vT0I
zPf#XTCWKzeh^MI*_|<Hm_jqumCKVZS|LD8AD20vu^raAE2yoF-mRW%5kL}}&e<xA^
zkmB>Y>%?QJYJZ?ACoTXLhXZD`jPVGd+a|w#74^njR5*$h;jIxrs+;=820T~_c&!(I
zbh;3Wytg_6FQvd{0^0v2PQP;+YHC{Sd0SLNJ2yV5qB4t_7Yd{!pKS&h19zJI=8&@h
zR{Kb@r{mv%7hal=Eg>lh*802CS9-ug&fLFuc4JVG#6E&75`>8PI*y*Z%|=xzJ2Y;J
zQ{_x;w6ZLPfou6hNK5#Aib1*pAZ-@J!nc<WYjspD6xL2ktCM~%`yXsy0T-MV@JBnQ
z*hK`{xZCnxUL#oz;xP8p-+V|IL>`}VSEjNG^+7Nx!aNCjle0o9m)4f@7k~+f6N;+%
zo4D$Z9K$ToDH!{As?`AN6_7Z43*i2?{FL<`YV1_GW9_Zo!bRMo56{<==D$0p5IHFL
z7AzAhvmlV%b!p_W!3{=$XRa1Mc<nR!%Lnbt`r<zgYh9>R=rDbh=u#K4)7iff&MaqQ
zVTy^VMYHO%^irn|wB$@=K9%<rdnrx{k`~)nutVni2#O=j`_Njxiy&JnK4Rxc7Yp_C
z`dh3f;06~-k|wx%edaa%53|a`>wfHQ$yEKo2bi2t{Z>GPcgmM4ak$Q+{#;2v%nute
z?9mHdDyk`eD~aHMix?+^EvF6Dy1KfM%$~HH+mT33cg^4^B2Ttkx3aUX{{DVjzd74l
zMne|j&O)rw>IgK7WtnH?_Oe;8UGm_*R^x;mDTC7&r|H#IGu*Y$FpQ@ns8`hbHf(t_
zhIQO`SSv&(Db##ko>;2O<4Ai)({uOmm|BqIe?{rqS~5lL_P$cG6%x{{o&#PG1-#Cq
zt&-RBvy|{88t-@N3>z2q&47gqe#QONyi%=ygPk}u&%|s_#*B;Gq%^Y&zY6`7vH8t!
zWr#c&v-9h}D$QK`GE>ou{c<tLJ4pRS$Be|*;{779i(YPn4GC}+h%>s>DkNY-1L&24
zOd8|D+g4V}&3+8v^5U!b-yO#HlOx@APGsf@dgvM<q(<3{+nA>+#7U-AvST`76#8hm
zKSL@;c<pKNeqf1szri<(+WZ%M1!Vk&P;}Mu;B@UvgNM`^4wXjTcd0rH)ZW^t_;l^&
zc*Q6k5W;tgb-B}Gw2}}tU68tUxP)`N^geGqIMWy<!(C9wBBaeI#QT|EQ4XeWEV$)$
z0spoI7Z1+br;~b?PafLLW~X)WX^1ufkAE(p`2dIy$kk9Q>R2y-d>7EpU0Tt9>cQ>K
zcWI89p|84GXGz*E(t;heIMn}|<P9RB-d{4|MuredJy~_U>a24Tb)~8o8O1)|X`du+
z4_JTA)qDPav?=$kx&+pS!HjUU=p*z+juw8(W{;a!8PZS>JeAE6OvqNOYg*)U#aV?=
zpuZW`L!f{=%*G&J9UUD-(bFM>Machv+Ed12+00ao9aY(5EiEr%h|Thv{7rlb-b0p6
z6OJEneU@~>(EdQ*&#Ipj_>l8};K*h7pMS~(l1_3SzkGUi`|I-ELn&+g-%bh2AWFJd
zVe(AZ2gU`eUGbBGjmE!%aoWh)#6`d@A-ieBxM;pT(kEy5NyaYw#nX6vqPeodvcrYz
zPcq@%dZfZLWoQ28G<#<-zPDu}1a;7gN<y00>nc7)IDtvKp&CwTcoACRZF7Sc%c+;t
z<Humm`+-oMsN5Ad=m`aw41-ndk^v0SJRc-GqO<F7Da+0K$f6#p8YBA4I=;ByK3*&P
z@HOb07?vH&SQT}I2=gbVXeaT>%CVIT`-Q{$;)2S}cc^h$>R#of*1i<@E|NEmAq243
z*Q{ql8GQK=IY1Zu9@Y1IhCG#Q#Ko}aYM4<mQDZn6AfoHhb*@)vSJJdQu;@wOg}ulr
zt{t|&zi(k-A)ydwWkHd-3tT0)Y5S`@TcFlgz$>a>uzf<N$JoPObQS<>c2Vq$9Sd#3
zGloQd)To|Owx#kwDhcu9^(kW$yJy{z4@XbUOq`<akjD~BJ;lv3S|KP&`kGb#t4U-w
z-gXfB-UX}PH9J`@5vu>KV3K-*U6GJWd&ubbJDS*)H!G{Ms!l0HBxYKS4|ltLSsxT(
zjtqzAr8DM1`9}Cq$JZRjq@YF%2NWo%rPVl|rLZXcFRS<>p?GB=_v0m#%16GfP7WXM
z9Yi|Vl_J+_rWa5E;{X)))oQs^FJ8P5N*u!wMj}6{BhfYUX|qOJcKj!N`8SLGBRHvE
zda@x7_ic#;`}aZby<fxJDAFwW84i)4R6F$We|6=Yhb^fdZuN8ITB`iNt}i@nUk1?*
z!#M{t1zbJw7eds~emBUIcH69wv>;YJqv5li_NT>bL|M}M_7y?0=lSG|+M>sMAyk9e
z)sv2vpfi`Bl4<?1y_$q_x@y5Cc0D6^Teq|a-hi<Q6f0>A53OJml+6Fg3{-yBn&$v5
zt6+>n>3qjGV{eQGEMH^Kab~Lq3Dvi-PURPC!#a5n&s--O&OuM|^62*4{qKhvOW!qZ
z2qi{)nO^d4UAW}h&=3hueAZpx0`D*!j53D>yBZj?f+`w4%v$hq@QJ?$B_obj(dxx*
zX`8G|a<uwG6LI5gR-H1xxqHufE*>&gXUy-W^?J%My7HQ+&~*_c6p^WTrhgmG4KT%S
zX_q*2uL`c6?POP-1EqWVWSxM7uw&`+62aEZ^;?7C2bP8NcAa$0^2HxXcJF`73XL#f
z9-bPy(jmA2mr_09Ka=?!qI{p8?7xu{u(loLN~<Tc9!pECV&4(dI2_%znHinaIGJ1d
ze5w3Fdd^j=OlqgDjg1XXw@uu-!y82Ci2uQ!-gm(}*=CGeG&Q+u_Bk2J#gq}TyzJ@?
zt`MzI#&N5peRk=y0;B<*u%b%11S2QwyF^rEakR1yvph)^^`}ch3Nk;z(Ny;MZa3xX
zH2`&*nVErna<^hiijMt%Pe4V@5*Jb;j2Zvx=k|!>LSeQJ_n~o4YEGFyw(v^m$A<#^
zsnmZjd!Lo^%nu8p4BXK@TO_FQ_Ui1+A#Z$UVS!1#snf>Y#s-{9`s{QsD;paHiNgV+
z1u$QS333w}2dS76`b<Kna0f#&Au&W*Rqd};BAtbn-qEA_VKhCAPL}&M2?b1{cA!4z
zPaATJz;#ns6%Q9dP;N83*e2xd)MZe@1S({o%c^}&i5KU0H?EW(8-U^9adD*cE%*4q
zvbGBcxit;q$7mNRxxT6^kWw@I2$0oLFIraPz1Rn5ec(+NNFwzM=@>!*qqqmvl%`(E
z7YNio*<xmLm6hdd6;6QLc61xanf4*Dog%|yh2)1{_sBolR3i=pm3)V+QSEu+jf1|0
z5-aAa!s$R18jhTBaell;e6#R|`~76paCTaaM%6N6yiUS7n9zd%u1B4%93n&qXUP(c
z7^Idyu;=`v*6e&t$$u}*^(`W;HXoJs+kHlkZP%t=&Y%4N$7*~DHh{@UkyF6iz>732
zzg%whwJFNogtP7?_ngrciIPtH)ZP`$qlNqW#sb-F#z<f3f0y6?HKXE}Xes&l`RB~J
zLJK-1o4e{ou(kT<#i6LJ%iHU7xPaH?$%ZlKYHEG4dcZEwl*&kpcO|vT6A%0o!Y<v5
z^k5T`3!A{H9kfrPx6l~e!?Zd-V{L`Ps%RZ($6N4F%X%hA-fw>GW0K7Eq|CYL&1u*`
zvU`RptC7p``!VOg0l=R_X~X`ZrgHc1vz5(Ifr+~C-}<Xh{~?rOsYO?lyEL*s@=CQs
z*xpc8c_M>x@oqE29QJILAR$J8xT|~L*C!>_h@5^zHgbQR&V{f3W;sp9E_rs28h3Q%
zozGWN--T2%$F?Ix@EJxUykF}SL;kTahu1Y$PUSRFX-}vtllo~iGl(v=&MhK>jO?=F
z*ggz{-?U<LA^fjeod3F2n8iC{ksP_m;@+oa>+bBePW&_(vNWm*6SV@i+}wIw-!lKI
z&V=^H^19C(b1tUq{)UwRy~Mx~hxocShA0N%xqP2aDyXf1eu>9?OKtZu(G2QAxO$yn
z08W})HFbJ0$m+BDf2-t=ZYi+b^!Ha#RN)XpkPk|6c<YYoBR9YWoZLM#=B(pT2(z<P
zoz!O+1taw{T($b8=v<&{Rg|IV*!{7pY8VEL;D9L>1FxNgAJgIBcTLF_6$w#&$-|sV
zew%Dzi}?=XJ*S4(RV>$vHa8x2Wc3=EUFh?W9_;Pi_#pvB(ui=fywI-db`x$R>%PL1
zHz8_<s_ps~^OfaPKm2baL6mTlu<i{eeSd#WoPp*!{~UsGQAu$znC~m#O|CM0?(N}A
zKfZgxPtp_0-uM<tN<?f(zd?nu595gaTCXFCD<E7R6M+(W?y0~qKOf&!>-yz}t#sDw
zIY(k^l<(9lQFT*9BxPji`nu*t?p0^q^SylA{l)QAx?pk(CoS_Sa5p(8HdRvQNK{-B
z#|%O?d1cdDT|98xW=g*Oe#=Qyr2~6ipN&Ew)M!?X@i})R;low<_wn}Em!(#bYSu}M
zrCG{r;}YdAue~GJE<jirE8jxdSo%9AN%1&hGtO)E>>>_tKov_^*lTAEdyJIxIr(tJ
znDbZTe`g7PKH|m0nGz2E?ehLX?$K)!jO5{2cmbWBo*stY-agshN!PLS{O*~jnz=?F
z{AP8PQu-O>4W5KVYbjgT`E6NOx*ZVS5b4=8zUa1TQmZUec9_;^jYbgqp7>P_*IUet
zsVa9eUFYB}Ut~*$qSQ05Wq+;kjDaIite)eB{3CmyF7C4N_Y*%J+H9(B(jM%o$jYV(
zCW>&m&K}?1J3Le-NpS+yjb44lf2l~2IEIflz$-g~*jdlJ8yCkrFUD*v@c^;n#M-X#
zzp#*NoIlq)V-WFr3)$CMojUW5kDhUW)-z!W1TPf}%!zJ3<i=bnGCu*pF<@nIR#a8m
zrhY!FVg1|9*@}g#YIy(8BRxF=zcFi~J&Os`1cQkuszSd9J}08cFMP!l%}U}LRLopx
z8%$w#RT<yK$|xRP$xm!h5Lw3Oz(VPvjQyzMS)~FLLXP#AkZOWS(XK{9(b}Q$li<r;
zosjBqNh)H&naZs6_@z|!jDl--IAxL4L*P6hPCm4te$6*NTnIh>SH^mVhOwz8*x->a
z;!N6B5C(C|G4)>+3+;#nWzxdB7loz&Q%+4yWz@+6&4eGu8b+3MYXjv$)jl!;rG?z7
z^nYqe7-=^PtikvvV2;q;e6;7ykFP|^#<Yb#8rQQotf%=+WMNQ#S#mT_QIM>dF}LLN
zyr%_10hc>1g#-^?p(2~@a-SYGes$uJofr3ai;V!}bvRvO*$88K9!f3U$F(Vned^kH
zA5H8@31~F{LCkYGFSTuBfvRgE(UIQy610667#-u#))8X64+1JM%8@6^@|5~8w5FT2
zW{_UmMLvt@;4R1YrlX{1=|3Uz!*(Lh1H2dI5|~Mmj(eXshBh+xnfxaF60~0|U#JX;
zZ5<6piA8R|<))AHDxTl{Tz?>%zGZEeB(SA{(9zHuW}bu(v5j#H9$}J0e<pN`s&q%~
z$AbIUaWp0<#Pn?KS;o#}q)K3wq}|6JT68GTWPPR+Btrg`I-W8!1zlDqnL0SUj)C2q
zUzu#5r+55#yYIZf@FZR)=Y&D&;jWi+qMltzlgaOPSk0y_ZpfFm$cffGNSGC;D8uwT
z6ck?OTwY?7x1F8-O?USFeU5ucL0~UoNIta27j;wltHJrwjR9rP{Nx<<PJlSP@3(#y
zlLey|Q?j&R4<!2Ix7^}LKVE81rJlmduMxIjB>_6WldAE8605G5dzDl;SjiFHYrNO`
zda!OaAzeT&1`)VUvMJnM8X6jfQ)Yx2?8pe&sLBwi*VWb4@7+K7ZUDXjb5XC6)IpaQ
zhgKTuW?%gaK^Omvi(@@78AG-u73MwVB1Q8P5l0b2dP+N+Xhd-FQSD4qjdBG40MTbS
z+a1@f`O~*t(63<?+7B+=%HuMn48nUEe$UVK4?T0~_Q1)2Rm0PoxE96fbqiG{CDv{1
zNgs=4ku`5b>~&h<Z&XOsXkbb^kX$pCl?n~QM#)FiL{myray!YSfDM1NmYp2e!#Xg$
zxpcr5aKHGiLHz0T;E)`_SOgSh8$WD6i?>YhPlXBO5`N^Z1d|G&DpLBdV?y67VQ?gJ
zbg&={k$<=CJ2$PYgJ%g0_y758=olP(?0jZFFAT7~;B7t>{wENz#wjP5`$!4d+dv<f
z-q<!qIVrs4_D6V_(ih-d4_neq2DrTWlB<L<Qkss4KeN~#O{in$B+m4I^R7@-d(wAx
zernf`n}?8Qk0JJ%nQY$pq3PdSUqU@V6ZdT;mm7cTC6gLwTdDR+I<xY*SX@6tH34yP
zaq;ACCC9CKcQA<<Vibjj*_P|+jGxeEs+EPs?Yi>o%wuPawQ(u{^Wcu=qC749jPoHN
zLykXfVPSzAZM{#oq`F3MSbZbB1MhiqZn9R}EwTqW;o3i+vzn!oq&O?)1t-ww;dCw2
zd#$eY1TqK+V#`H}YX4`=^I1j^e3|pm5>%MY@%!-65kzSE7@FPxXId!}7F3B^g9tG*
z?pG*Uzugf35c{cBw8S_CBE!Wre)chrm|tq@%Wed*?Z3hE0&+{#I!dM*>6mQVC*3xL
zdeP5`3B7hxYDTLlPyK_|rmObZot6hx{0{w~F88g(y8oUK;{X4IEPm&P)ASx&K5wMS
z5xw&KWL6YcH{<s@ll{On$LLLCmE2h2o8BjzvBPa_ZVES3zK@?S8h!c(>=vqgH)AV2
z(Vi`pbYkzGM>vzoRhm?ONQ^#GCuQWsgcXJbuQ{_4%H{>SpPm!@zaLfqRIRLm<SogD
zf1UcrcMmOQC^<5WKaL}LZ=@eSt96nYl$ozoaLZw|*Pii=8^p6^MYC-h=3o5sVkZu_
z{B=6csad2nx!#Lp<?+dNFbcGjYFzn*(ySM^?RmB~j5P63fUqAvBpy~Buepnu>wXvE
zaZ>y)uW!km3;IYC6{;@1SG+r0m4@Fs%Zi>&F|U37@<N3p#bw{a%`SPWY3tKR83_gb
zAKSrr&??UmoHPbSYV{q`^E?I(L%0zHObclrjMy)n`COkJWe#oZZ`Cs24E$Cr+T;Ps
zx@KA-z6=3gdoGk<g%!Fsjbh{tG^^<j#5X3tR0l{<;4B?$f*v@;)!M~UrAE3#TKDm<
zg1fsAo7Y@m;rdun2C9I6SUm@)fa$kJldKd8Ihq;VQ<-cXR6S{D?C*=^0BA)^ykwX2
z+(t^nBQi1uFrLpjG5fE#m2*Nev29;=Ywl887`nKx;Yt}h_N!hQBzZ)v)iB!R+wA{8
zEx>1Hj`hk(wOz*(_wU7`Tj^Vs8rqEeYBQ=zk!9u}#z|Ygo?4ojg@qs#MV^4}8!1`?
zm+_*W0!i745Eq^`L;W;}lF5z>m&_X9E;Pc@_y3`bRQcX!nu+=C=o?zsoiQ$xHdB<k
z)E<8ggikHRhWN$lMN@9~ve5ks305HJe^1_o7Qa(3t{TDXNG!jHk(_Jng7hcX#wJ*a
z$*F$-hb7C@%}mo^_n!_#+L4l3DbMXerxlPEhMxZ0iB)V%8Q!&cP9>S!AYU6@+^pF#
zYR*+TNspv$*(zW%5&oN`VY+GxciXJRvEWRTLEK=+xdoq6A7B-E-xIu1h&!x!)QO6Y
zm{TGw_}Ka80?1ho@JDAZ;JH1-8Yd_AbljsFd$+X%Q{XX}d>dL`8{cJlWh4C3ji&4i
zjqIba&O*A@n7;xtfM)tg`Di)E*;^LD7Qnvcqhu>`Q1MIIU8@245!veB7;s|X-5Oo&
zG-u=v7WZi6qFR5xNOZwY8j*)pU{H#fic8)w^3N<TRxvWLDVZ`x_VOEP(`!<?y6tKF
z*KL;jzv3bbklqLben0Im2o6V(B0<II84!PDk6qEvykznXrl}e4(g2c8R^bW6zP*CO
z=sw>`WjnpGQvdcJZ!6w_ZukZ0B%N-9acQREm`J2)p~!dE@VEOgcsns3W)LLu6@mir
zO!-H3f24BCSrMEYX3k9R;w+`Ld3LB92=Q~UuNILC>Sl^EU@{t3B9cb_#BAHQK2^>&
z-}G{EAu@-ZYVY-CzC$3(+q`yAX3lOP6|5~Q1TCn<xmtu~lIwUxn#8s79|qENpj*tb
zVJCqcT&mbUd=d)=B8T$7Ss2hUJhsUG4tn$<pG;4Gi(1=#Y&`_D5^XMV&w~nk;e!11
zL1{(~(gT85C19&Pbl;rX-arN=o9Kz$DNI*epm>f_-B>UKaKePPZbIPklLg#p=p(|%
z0*A}X%QS1>Q?LHnS3a4Pcj}m>W>B|4EMNIft(thS7C(Km*IxCF^N+hv`pM&YLR~Rc
z2ZJA;<E>4pk@;Uc0lI52%K!TOP)kJ#PeOU^6U5r0H2K{Sb}&17P_&WzagHE%94)nC
zZr|X3-TY*I1g*cr6C(FXw$B^W<IlL^z{dtl6EuOo{5QP6aU^^BQcF{lV)c}=q1I;i
zJ9ufq@D_WttPsRq^F-iE0P#q);^ez(GF?Vmq?i;bRbzJ=y&TJ`-NTPEnlKnlL!)Nb
zXz-@&$5xDsQj@95ug9U$CQpCdhrD!0)}lzp-u0hLp-W<z(*MCl*WXO2I=Qj&N{`V{
zj$pFh9_R1hC+A!ZSqj$l?9Z{kiynx6^T~@QIbf%pyUX>wn0hTYPQU`|NX+19uU`K$
z7lxs&<BUZ{XHY(~r*f&rp8|H|zt^GpI6qh!RZDhLwz?N-YAU-)=&vU(dQsU>eGchf
zS(84-=_fq12;O`&;zSB*KcskeVi$+Z{=jWbLAIT8coU-hG1N5D^zv^R>US@npg~DJ
zAmnp<!r8}k>r*p1OGuSeOV((H{lqWauwRB?Z9M#eiwinT#+-n%HoJ?XFvH$*e#?)E
zbs}K3k@y(1^BEb5i7$qVB`Q&m=H*H4?WjNeI?4&%o?R(603}V3OMYaoq#PT#ufsxr
zo<0wbB`Q_qVon76518`|8iHhArGkw*OQq}P7;06P#Je4nM1Rb8p>0i<A#a>*md%H{
z@{-S+0bG?-$Wut@EZH`h3%RtEnvK-`f#HPP_3A$%=+e9YYcmn(?JX~Bg8<_tt!7KA
zEgsP5`}f;&uIg~9IfGidc?ong41N<&%+K=gn)h4kADTZaj&uFDr+TyVX)Kd@>zb7k
z%dAuPh&`P7V<;ESBZg@;(RN7}lzKB0bsAi16l=L4YU5KB!sO7|mR@v&!4B;VX7wF-
zG8T=lm%$nO!L?yK;bVJF=<T!oQPyB)sKE&Td^jX14y32C+pXMgxV#7eU8gX%xhj%y
z$yymPaWLt+y84vyBSpS?dQ1uh>i7~jn5|Qa4W8Rj=->sX$0zYLT&Ja-CM>9S<!7_9
zx}f0E+VULHET+Pqs5=k={G5u6jBMWJVd_8e5T+4|wH)qix_wL93thbiSGb#dZPuX7
zdlk)_%I}8C*)PT)v5x8H3OZgKN32z-d9ij)S7|C`d)?F7k^-TqN+>EegzRqCXc(X=
zQV4I;d1O^-Y7_>X$+oQ5PQhzQ2$hApKi@R`oHKgIwS#G=J35eTrGNz$2XmCJT?<`!
zsfGzV@j4V~5WA;yakNutvN7?uwQ|Z17pE6{8HLdacb9o*1j%xq*~8?A(OLbM=%(=c
z3UXS}N#qg?Kzs_I_v+3`E5v;w#VLJ`4C=({=Gy<3@0VZyyLT7ak%EW_P@t||gP2R8
zMy1-SuhW-?4|*5#7nhU(_rxr!65DQht(<9Z{ijj+9t1tY8110!ut}Cn3UaLwiyyJM
z#1p3>u?h2o-;+b@J_BTf<pfi6?FaHqwS`%Tx~doND5|pFaaxxRVkJjbGkbh<5VOO|
zb7^4a3(U^;d~)Lz^GHsb)d2aMOi@w^5UMt$@9B8AnhpVaYv>Ya2Xe=MPVxo8D9PEo
zoP@#b9rS*7&+2GH9<iWWBeiUw?Vuq})M&&4FA1CE@@{3kYopL%hHRdfS<Pjd(A76<
z8ZyjT{1NQKo>HsO)w=KOLpSL(H{iP%j*Se=`XpWWS}_y{$3XunI?GtXZXGw(tsk}l
zq6=wvuiP_!=v2PX={!sAHt{Vkb7*Yn%2Hia1KN2ht9d{g4p!Va{4yqgV6~eSqaSvg
zU=UAoc<8S7pf1<>%;nt7OZk>(gMVr=x`bQvjcGp0TQ$A8K3JP`uA5g&k+6o`JzK1$
z7*?lUWK0C9y60e7A^4w%4{p!~J9p!&s;_5JqK?%TWQC7ErQK2c$;l|U6=MDN4`^l)
zI3&{tWyb-T@c6dADoqX}iDJ_|6a=>ApEv3So(n*qA+zCe+4K^}yyA;jL6F+B_hGO6
zoZa$1%hbY3n6mj2(UFTcUh%8wk~l0X=oNp`rELAK?McfwyYD?f+*$K8H}F#V`8(_g
z?S!$__{GT4;UYuR3lFEp^*b3}hH3gIKlO`8uo``n;}A5R;|SY&rctKRg=k0qdE9Hg
zY+3rV4;UiU(%SB(6lj0Gu~K=arGbV7Fa*TEe*q@!Cnt(#9^)cHh=l*{0PjTcSM8P5
zIHQIPhG+!LIXW^#7+*qXjw?*Q-m)qV3wl?f;o5i@F2eN<Lqvv76@tWqz+}q>rdt@A
zS!LAC-MJNW;qts^QOfZf-&Or)RCK$nt}O5OgZjnF!)wq_PYjbQ5l*Aa@a6J*^qY}I
z7)<WS5)v=T6!0uu8_U)jck2M_HSG(baQ=ejYiV{4ue!QylxmVBeSL|)bl5m%6Yw*X
z0<E`E#+H+2Id~0UuI~QrvUg!CjPH6Oc_aP^GFZmy6yla>_ahliR&j%9M-7eH#F9L>
zU)=e>ye~O(C6iDHEU9ACaa?fF9ENAd2`ug9CJqScW)@-aUD~7P3Z}Z}?gn^=Rq@UY
z`1L8OEyd+vlQ)=9LQwJUT?Ou!hnByW*8g2*1SmoD!~^M6uc*=jK!&cb89cpk7A(0#
zJ`~er2p)-{H%rHJdlR^XU%dvnoPEu4o`~T5R=WUX=>1-y>Ud0w-esi`<y#fn4+Cl{
zNI6A4J0wGC0)nht)bpfBU4#^@G1ogY$<A?~KH>C-10{zh|A#PI#-5nJ^m$QM!)fi*
zaK;`Y+WkMa_JwK97foJ(@?4TS{~}<;nujs#9I!YTakuxT2haE9TnK+|CXP41mefGC
zad&T+F$X$E9rsxr)oup!KOrjlMO(^wY@Cly_M&eTlklK-_$Yi1Z(d?;4BP~6xu9xi
z6{A(2%=SC01`ZDDSaU`(hHWubV&2B86$J!=o62xJKrJzSb_{?2HJ4R@>-m|yz?@;2
z!oRfFzcBW_Snr!>%&(e+EvmU6diY^%OE#b_k{0Isj1u&G@1r;H#pfT$=7$B;Xv%9i
z&{VQS8Nv#M$14%0*vXh3hC`UsS!VRF+)u2mF&DO1CZ-qgOlJVMpQ9+<t)nabgF3{E
zNVkmUOtNUGjhydKh#K<-*EZJ7Fz1hWtfb>o$8m2jP+8)YvpBiWU{|K>oR)RN)O!$>
z(El>W?TSw4;k-Q|@0ZRdM#6&D?eJ+r#Zadl&{#(iaSB9j9_~Hr|JUb12b}XuILH{#
zu*wx>L-0mi?mRg!fi+$&9D1Jn_U_-yfa89~ym%!Rs1NEWpVo+b|2e9)N7n^hC%AEc
z(T6!ME{^po$=a>n4Ta-)sipNgj-hXac}m6QXj9UIh3Kc)2=-W#1oITwq$=ui9MAE1
zX-N>gsU~WXv1V<%ei%L0oP%fD&k-Vlml1q(06q;wb9!b&_e6j*!b942!MQx!P8pn~
zLEky=Z;T{D)b6GseAJd_!hq4v69Jmo+U~B);ugnsT<YINiQGn3J2w*QbZH*P+mVZx
zk>jYPobJL)$sAvBBcQ6hU(ae&FaPHg6Oo)KFXoNRIvI}Pe|T+RY&!Q3DEuVPu1qVR
z4DJp(4!M+ogTwWK82!tiX4y*OcnqYWmldA#CMOtp$ai04Jf#Fe7U8?&NUv-4gCea{
zod%;~vN-5_Fd9C6)my+G*o?+qWTZJQJgq}DoXUXJ9)P*bVIeyxdN~Cz?`P`EH+dq=
zY>u|{4GoGKGe;LxP<>Kp=c0-aZ;UP>c<YwVrVi!7t$G4#|LnV{X}7~-kKO@}rxIe=
z?|S3RRZnX?pN4#7nV6X9L`@wi*BH2Kpwe5Z3XO~Y8g*`a3bnrJ^*jzQnR-O@1L{{@
zOQ&ZI0UqWtHI5-Ztn#DlMcXf5D14Cj6(zT2_>qP?Fo2h`;+u$5pVP|`d~#IIpzm>r
z-X`0|Eg$M{hZ~YX*^_nr!vygH=<qI>=yIAaH&ZrdxIK9-bY}DX!@o#R>efc6oHOVV
z>N%7$;HV~?rC2qAfKlM{A6$v0YuU$G2TmBk2^bpjvBS!uYP>0V&ca*8ZtZ5jp`a+N
zZiK>sowFjCARG0AE0z9pEmAGy56KvyOh5U^K`mlYi99!d7bLDO7Ub*eyJD>(#V>|R
z(II?qYoO}r;W0=vjJ21~^edB=^qsljTkMju_8k6GmoHM=7{+sbL$ABXl?oX9mj~Cl
zL&_9oc;jYGKjBouBB_y}BXSlwN(bVNS~FHfUG-mXjwdm$TSSE})dpP8^D$i+oF4bY
zUVAkFGrpV#z27v@052>I!W)JHn@v0?EvuCitu?RQ9Br@lgZ`Fb7@r1$%l08&w+(6c
zmoIExJNg$|^;~mFQ@$HHaok!Xgt*9}QThw^G0<=nkh^>=TNo`x`1w7SkYO1gp*Vh?
zR`r>D1-?8DK&c0|&#~QrS*l^VG|eh$H&zPy^H+R0yEK_|U&<Fw_^13Hp+N6AWj55E
zRo|(X+|_9uG<?XUs580MDq&`0tqw$Bb#9Dd&%X3~I{C-TUso2FL<ad+kY>W2SgrY1
zEPyE%z=pw-G<IM91~q|<3D5UnsoC8*d>nGrsnaWl@-5Q^TRO$h<+&%1OSc{Cxxbdi
z*>V!!+K=yP;ZuT3|0KtHIjlq|hd+GxFhAo-{F}0vuLGN3rU*k?tAFTg(=YSRJ|W#a
zQ*Y|$cnc*Ash@fzG@-;JxxDj4)c7g_MS3iWFF+sYUrI`Wkd@aoske5rd7tV$tBmp-
zUh)*Z$$sA&jydyH$Rk~qW3mbDk6<xGF8wTtw0eDk?JS-KF^caorHG@El!n+V5gnq$
z#_RIaY_l&+Fd_RkyUAcVmLd1IDr^Z=83+6O;3aHmOi+0Gx)}~&0}+|R%*=O%UondY
zbe=%$dYXxr*-ZUqo{X=u8T&!hN8O+Mv$t7U1qB7*TOq`_8@lo@W88H>7^+?45ygf?
z(zjxJsY5dPsEa=xcdwPM@kqx^?^-z_(yZ6~qJN8gCKfZ9iBV1Xft|b59Q~{yGmQjm
z<_TmTa?0-cs>84xi1Zt3b%UJ2r%we>qPKG^XB<EG-R~k%9=>CTAP6H|L_}Ny5*KVt
z;=Klo==v6!oI|YaWYbv9Y$SKYz+Baz%=?#21whV`{z(@Stj;Lj(2hN4{K(7NKC5JK
zydV#NMZkUWuu8e7kdGc#t@^j&t&pUr+eyra0u#Q2nMncD3LE<5>=AJ!(L|m~FJ4KX
z*tyx?>q*lA4~Sb+jpclNbP_{#XNb3Qi-GjMB7wLzHp5J%1wSex-79KSsw$_#M4HD)
zJ&X3LZ@)t^Xa_7sHYuEsF(G6CL9RPxZ}%k!-Jj-30#7R&QjYKZZrg8OJ_|gVKc&}I
z63k467BTX@_zfBt<0oXvTlkHtac#wyQwvsJFUe(u7iLrS<sFz7rP5U;_8H!`M;<QS
ztGZPs7?8bq(Ilp!JmG3PfSnKfL`*hQ^<ZNfYQp&PMbPW6f$x4mbRw~~y$2Exy@#1>
z^^uwsb*~*?XS7?$`~*{$qA4@V)q+Ewq$^p_8`dplRo1f3_BMffIG>iVg$T_oEtMD%
z$zZ{-=Y`Y=1D>>i^@Sf4J5M(rE`K~CE7<d-J@E@a?3?>q6YD16vU6)C*xiA7Jve?e
z&abX!Wj+YX1=C2^ilYQ!%<N|5H)-e-VpD=Nhl#(&eAjmBai}678^WxpH7Rwv%M?z(
zl1~Lb>J8LlmVHPKO12Fv`;{@lRX+P}zKxAwz--v%239BM|1C}qnV$l~yx*A34?2tj
zSlN`+hsS<RIH?B??GEV&KhGOyNjUlmt`uuELhfJ+u(WYGaaR7E0q32a3CWjCO&p~D
zbMyM~ZF1cYh|+A?Dj4);Prh^n6F!S#Lq@TqEY107o8S?DMi@nb>{ll^CtNGHz`sDu
z`_FaZs~r|hYis<<%YxPxl4!tM{xpctQnl}H|C#xIcW9L7tx4IlG*Us5HvVD5zwzWu
zoK1(oA&u{DE5s|*Tp4<JcxwsdHcN;1^HwV^i@=sZ5GwKa+To?pTon+H0Y7Nz&MwfY
z?A(;6(;m#AHC!H8!2Zb{>t2~Z$*`|q(E9BFY)<zliOru=qy_EMqKJ@rT@nzQ%eop@
z-KTmVE5WoZ5H&szfxni6a_JmF1PN)R`l-qi#VczlsPfA*M-w~k54(1T-sx1;>$Zq<
zI;sHC$iIsviVZTj4OO3i{>9M8vdYwH-fn?V0vE-gz=<<96Vnf~gPp_QhdU=%pX+Pn
z>U{Yk_9}UzS>K~#&uz00JFUF&6OXetj0ln3I{V0A(^Qji^Wg3dyc2`}duFC`(2_AH
zaWjz~22O3K?8w4Ta}*mz|EC?Tv{!dF83m6mPxseZa48mNPHx-R>khyqV8}1%7k&Lj
zR}@F9!W1K8$u7@OinwJ%Pa|W^%XJQ_z&!1$<BFWA@3ta1@Pix&!eDR!pSa;6)B1IS
zkhTTO^E~wOdy}1u$@#0s9j0*~zqj8gh?XI5?VZHIc=W8SR&8rf&n6{X>hhGHW=|{i
ze2#L=7`}<)BBSr(*KMv*d{mKULl2WjAmAyRdJl4R+IdUr&u>?sLt&-hZ3Lflmr})F
zFK}yKukp**%7z;_vhl*qEx<2s3++^x6TNPCwKn!tAD_ICd`I(^TOwmVopQ6J*)-U^
z-w3s23J=>@+W@lX<sEVq@*h>Gxj5v9WBFspPicK&u4&Yu8YZaUTs7?cLH!6yz;+Wr
zd)>{jE4=i9^vGkWtgxf!1s=09kyYTA{;y*`&%Qpv_TM1+UD4d`|0VKs1MsY)7iDE$
z?4EJZ`sGt@+CN+CXc*7z$@&w>iR9JxNGoPbai?w!|IUFKm&y937x*u68@T~jc})^z
z^8yc(l_cudpr3+&Iw$szFd&(Bh%*KO+6}Bv$D+@OFI7}cxZQlUbjX70lP8~1ti&)3
z2Mvp<74-G?QuSIyi2Ti@!}cpl>)yErbGYq(B#UUwPromwc*tRXWFoo7Yq{^uZ#{wj
zk9!a0NDtU+g5o<~nL_z)wHqUmW&ZsRh|Ea8lj(vp2s|yFv5{{*y~=0AaXpogui5M9
z9Gyr5*(Ex*PSVBSj7+5m<Iw7+p)G0EKW2id=I=g7YC4>n8){CP<cnBy-AP&FIrOUF
zltcL58Cq{}1wkW*mnhC>W{X<sTX}hT|4w#)@Ch&5eXpB_6pvsA=gO0!=&~tonbwD#
zT7)W{*{5-nsqh@z*~|vA_PHv-UX`G)$oi<v>)asu0H==?*clL8cx1P}<Wzdr>pw^n
zDt<B33~PM;rXEfDbw>XeH6%7tc35}NMZ9_x>#EsXR`^;zeZa7MJoBBQQPbXxEJ{8Z
z^tM&{9|WO#2eHg|S6P6)BB}YqARsVYVn2Bc9!b{mit+y{%t6+!*?mX8Zv20eoc`*f
z4G5CRIJ=bE3p;yUfxCp?Et_sx{Mf20E58goTp#dTz2Sv*wh)o8d81}gf$GcqW<qs|
zo=-rS#aW3$r3%`3yOT2WYEFvtEkm+g1PiYfaC<QJ-eCey;qK~R-Mbm2*T1|z4#O)Z
z@y*llls?1|{S!FUR~z~J6gUw`Nn3WG`QB?}cqROWDdTZ*giK4S26r+T>F31$tZc55
zjF`n{MU<UiD5f?4JaIJM?1kS>$dN3&33t&9*NRmH3Y~X!z@MamC;nME{kqBP^<fq>
zPc`9!AhXCV59MSQ!Xg;0`R=X>6+ZsmbbHw5YcH=QYppNZTb2`Jm3SW8?+{i4<aIgn
zABxk@iW(T`S-+^|S2|AqQFFUa4<U@v3!^lI(Ayc>TXvTi)vdFy`WifZ9qJd#7)ucT
zoFzt+njzt<e64(RU_ErJ<b}{EuCCaZLP^jyZOkbX)1l^Z-4iSTv!O<uHa6<KRe3Lw
zN`gT<v*_{hwa|3cElY*K6xhwey}r?STY;ZTW1#qR7mC~*M<+ZSn~>8NN2Wu6Zu_(m
zCO==~RjmH)wqSjDsT7E*SXg+si0tTB1F-j)0KQl<3+SU^CBr9K@a?T@^D3n1KjqMu
zAF8^0@0*&dy0Ct#Zse+IlY&dv(;}P}ZB~^crRb`3qy1=E4;Te>?iwpAZv3j%_d{MR
zyP>KQ7!?vJ8>&vObw{#jaED|P;mAhl*ds&fYd57!_XqWdW1SM6q)hIuBAJW0(UeM<
z;Fdn;wS`s0wz<9z*cV(bljZb}<7wW7;hVTLsHh}tm^T$@5g`mnNi`k5Bqg0c$W;og
ziFY|)$PdC9-Pf@dKjpSs;E6zx<>%M4DnfUTvQ_MY8i{%xr5c}%?w)1G5d^*0%O%J#
zD-yvECe8d_obC%^s?B2w=+U6%Ga@}v>_1!5;{G~8J-pmqemc$^-K7(zGgX2QnL-(r
za}_G$3K^@hZx-!PSefYuwe6{M+}+XzaM+Mje!4n92*~+uJjmoHywBKm3nrdCP$_p#
zuOA9{&V&D3F-)M_3q*p6GMdFYNTL}^&+%XN;vaS>q3;d7eI1*B*uXG~2;Je|cYw5T
z(7a~lJvcdODI!!fnU=}9{Kn+_9lWCT3xkHZZC(vEHv<e~Oq)y?e%OWoA5(7`RaN)B
ze{VWOqy-7-Zj^56Zt3ps?w0Ou=?>`zrMo+%LAv|ddVhca@timCf^o*-?6u~aYtCza
zF12CbeWm#JLrysH87<oKQ{cy3k`au+nct^<;|LzGUO}cGx5r=&TME&2M;UW*u$E<{
zmT}oQ-eCQzjUk*?IO{sX;i3idbwNeb#?CN^^=`ULB4WxJ33azzTjz_=WlaYu_G7$!
zS3UFX=Mca}C#e>P2YDd&V~Y_EbSP%FR93~eJ-3(h{*UXH((|~#VjB<?0$a~-M3%2D
zK*LM(`k~s0Q1(3m6iXYM*9G!Ag&{$G?c}h7%pz#hH%i~80H4QJbX^&LCUDtQ&091s
zQ&3P$kC7lTv_^5G4AYfO1eQr8x#c&dt9fWGt0p<M>hR}V36I>i&6<PG5up5v2iFE%
zS*zAAU@lXs#?H+x6=zuEirrtMFht1N0D^<Sw0ZgMtMvzBF-i!+sSBgEJWEWul|ngO
zvF)4%&(xqB7o+?A$?t_%AjSUE2OEq3LR=)6(yAw2Ulb%NDWhf2yc1dT0<hDL{1VsQ
zp4AsqH>0+mhGEW>l|jq-u5E@#=c(O-;$C57D4JGE|DAi2_feN%{t3RotIG8D_X4w^
z*?MwV5eK3M(`K77=>4#i?`(;=%GhmBe_rjKy+cC5e*ip(z6=y6EAYBq7}l!?9Xq!>
zXi#K>eWH&?zrA}KjvIYc`t7oKy;`)Zz8@dASob)AE}AYyPmf;tX6o}!Tv5H)BzgCq
zQSn=kC&&BvScw&WFfrCeCY3y(wNJ~%d?NJEl~7aG;o3hSLg(7og-8h03QL`}o!PkL
z!ue+WbUK(idk2#8vEHQMu}qmd3R^-n;e9;*^QUc<vT|&j!Vr-Au=_ic$lXv;n^@<(
z!prV<JVkBC)L*7dx&Njwg?3ndaBz#zaq;Mrw;y8z3;$D?J316kQOwih=h_j~JtN>d
ziO}DfszEzhjLHG=qwR}V<Zd0!i%-w%yr9DLVZQBvS1$WTw!G+vdd2m=Deo(-ZV&`F
zjpu-h$F661QrJRmEsrl<7Hv)=$K!N~k=NCv=;?DW>)&)?UHE_b!khRnY5%7MumNA7
zV2Cx{inSFiZ2k<ecHzxVHkoIror}tBl7jLj*Q7L2aCfpfTz@F{As}`KMY)Gh7T=!Q
z&LBL$x$9zTs00HZ&S(}O6{eQ9AOUPT2sz?pC3>b0IR?hpbX*Za`Nj#A!<6NDUDFvL
zwXMzl?qplio}^Gq;sN3GUqUxgYry>4AJv-AuIn#FZFu#YDL7-ZciE!d&a1oHu4A$K
zJJFDDKv>5Nu6EXsgQhDGM%szrZ9u${@gQz7-<#mJGG8h#KWnYAwKcu)wVCskcG`28
z8n3dx8=NsZPT537!7O^6F0B1dKD8Y~kHDy(`AhiT>IoGUd~PfEwNYD!1DJJwsxm#@
zr;_^!F#&4fTIBiT3DUxuv6TqBL+J_h%lB8t@*uyMc&Q;QegC;nwQzb!OFg<ne5_Sr
zK9d}cj@YVuA1sWE%KxMoCt$~ow;HO2_H}NtB<i%!2AM#(2Hv-=>#NA~ug26ujmscO
zKemB>sLMzM^(bu?i%!uhXz91oH|81YlL^{$AF!{!XkLG!nffn0{&$1og?CCXo7{ga
z)CB9*fi>*ootb!VNMV&ez{0b?82b2tp0Vp^mOk{voE#h=&BmI^MvpwVxQlwS+0ny-
z>|+ZN)M2PSEXXj+99aSRqg)?F-|M(Y-F3AUJJh|^D+i-<fl@VXAZh<eLt><nJNO+=
z%@rK2fe^>WmzIxM71zVb4DqDhgLYligFj%gESg(_f8CsZ+n0%iMa>U;Q;Ik6#eQ5_
z7Gt=hg`mV?8w=7oC3|r7dV8Gc$&NWSq90VS{hd3YH;N;D&lUvroup5-5!{;dSjrkZ
zRFdx@Be#Qz?myjLJSi!!qs_LTTW5c1Tpkq>o&2%yE}TY>$&^lotP51y77?B_c=Qo4
z^z04KfF{zu{!K)>T-j^%gyXeH<o$k^C(hBgh6yI|=0|3x%WPicfhbPB94+3gNp_eF
zPM-|KSf>S11jxdx5QSNOw%~U?CNmQL27MXd7$m*-k*Tk~2&&jBaJKKIqr@-Q3}+&Q
zO2K;HoHwmFf7u4IX0rPKCJ=p{0smzZ@057F%xhH3H9;81bz#UHs8H_Iym<QcOBk>J
zcvPpcEWT!8X3`aTOszKi!NWw@c0CH5bl_02X}~+O)|33r|4>-V$%dyyl#8N7#LlY1
z!7nVu?4&EIQvebhul-1;eAqz|PCV)PUiP{}Z+fP)w5@V|;dB+6iw(dh_J_^ax2r2q
zU1WiJpq6nj6u0KMEK;}`6?y*NtJ#~EBWn|!n}}gD{#O+SQF9@^rKN{zj^Oe+JVYe#
zr~7Pj(6cqvyoexbYl=Tb9<>LGPuV#+TksLy!Gco6)EKKj0RVnpn^ZF9lEvD)n)Dm*
z+l@0@ZUWgNkMvRU=?`FI{aI#jtTU=*SgT$5m9@KTvxSY|*1bKC5=CA@t#L7X)EL+(
zuAWfOG5dD7OP)~dQT;7`ai^eMcJ{LE7HJE=-|b?1P#HzY#6*)Utx<X~A3>wMnhsVM
z@P(*X>)?;Cl4W4{+r82Gp=I<pQ}BNK-_7(Ry$~Ka)!x0)$Q#=!`PUd;L8@~>&*6((
zAqPMR^dAy&-Lqoi+9aq6qW0|XJO9yo-<$kvM`SV140<SnQMajtf1#%q$<`G;%Pyal
zK?M+x^Q`_}2ePqxTND7`5asqXV_kdr67(el=RyTevi4vEHXb_^K-R{$gSsy+4qQ<?
z@Q=(xpWoE4C0MTar2~n60{$2o9M@Glej;yX+y@(c?Gh#whWY6d6yj1@8Ro#!$-3ql
zA^gd9Fov++j~XdsrmdAh1JQk5$5E*yBRjlC^@`JM0Z*`bLep1EJ6stZDUX3??w|Ll
zDseyfUDU~~2OMyGdGY4?F4Ly`&gW8BFXgs!7mCadh*9Y9T9TkbR@%kMALcJUO}|8?
zEMOnc7uS2(Nu5g{Eu?>F@_OOxt}PD;fFf4^MFEK?5+rJP`7t9~q&vn_MOhhBcoNQo
z@869wy9#0BU!nX6u@?n+ATDa7MVjvl90P!+$Y4%=j$uQ}OgTx{>8ZBemJ?fcsdyFY
zKF)N2-z-Hp!@*3=KSiv|;LHoQX%qoCWVQL21L~jK-4pjX+QgZoA$Grimnm`p=L|a+
z*H8K>3+U<TL1hPMQNQ~E-m{M5EkRSIM||2E`aPFRZexXI+?XWPd_gP8^n-v9hE!FK
zvMMp7o@7NsnFB1fNw;9cmp{R^Y`%#KrDIyJHE*)^?m;DD)qHA0Mo-)d4CQGXtlyKq
zdZl9=-U@<mK>|2&tWBSs4*G240iY3W<1)B>WP*QjfyP)U(3g{w<}Z8n<Le&|VTXr;
zCnvee<k|Ny{fMel^w^G{;fG2|iQgKQ1;(UaO)+Fq^tr1k{}rpQ=YxWj(XpcQo!9A6
z9dSDs>@`^RjT?8BnhZRX@ACgn+yA?zi)_t<-?ZjO-1b~YDseSsV-OZEkw_*6S%5Pp
z(GR$1xtKW4*|N7Oz2e9gZ>hlxnISGpz$5S{HyOlS3lFaSG)hBRiy(WQpez9SG4h!{
zyAGeLSwg6Qi2Bdz-ZiO=1uxOd2EB<2*C-c_(FPG9lL*|U!^{ARV7^({WtF{wUA{NR
z!Bp^3-heENNeV+i^($(n&f?grc;M#{vuI_t$8%aYHS7*LhY+(baxsaF9!j95^fZua
z*}c2#$F;enR(my{+Mr$jWt4&;L|d5~E-IMVm8;OScn2re4wJ&{VRC5-dg{v1-SKXW
zPcm6&LnRpD^xI{o%N4D=v}z64HvD^epBsU<*QhPf%2T<!Qp$#N8+}9gz$Eyw<8@5l
zx$+1Lnu@)V#J&JSnS*G!JSj*bkG|SzKQK1QWPW@MV$CN*52R0ZbZA?Q>v=zh9DShq
zBfOAg3aLWZ-EqJL-UvTL!hVAA{1+~)gz|q(4GsxzeN(W2lCWb$ll&%J_}p`*w4C|;
z7an}t<^s-@)vFs3j+=doOWom54Y4q-a^veu+Hn${JKR+ywu0zlz^=TJWlWVSy&QMX
zTS=aj?y_K6#rzfC7Ee0p-tMgB!kQkWr`m6M?b@&jMig``;q!~X>}Os35nmLd3del{
zUwcUT>)PqZT_Ims*fiAyIs+G%21W~b#LE-mw~*Un0o`3!k9umsHVRNGiGNDO*GIlh
z05p@a3AnmxcQQ_K7tTGcOO|NhXUU9061qB^En`Ibbro)v`Ub1tD8H;J(AodQ;pMF6
zUd9*J7p?rWBLuc6*#8FkHrAiJT01({*479jMfl1fHL2=VX?qxHhigxa*UjroS6@?f
zya}imcY}Tv6F0~^3sc^_xPtrBg`ji&v?{nWTPL4at6c_<a009}X%d)XXu*>pqWD5M
z38$u8x<6aiv_Ib{wYi`Pg4IZGOm9auBg7Rt)i<RQ2^N1UYQn8;#*rOJHb$@hw%klV
z{jaPTsgs<*?D%f!z$|<m6+2H3_`qKVIbceUjg1)rTB*94JmOo=3Q~w)nA=-Q$u%z*
zBW^lt7M^h7hPSUNX3{XQtz5RfE9%WwFmKij)>Fm!WyyMZIbx7pQX7b(FvMxSE!N5m
z9)G-|&_IiKAByG-5M$QS<a_<V2NGhu*4g?pGBOfOe9X_yw@K+0L)o>0j&_6xJib}`
zNX<LxA^~`j{nYW=H;@`QEEOyGTwaez2BQ#!@c!qnZR!<y&aG>Jj*fQNMN5btnUI+w
zB<v4?KA<bNhix+~`u$9%a#UCzD5aw;z%~$sAFhpH0z*5i4v#$><XhF1{3ZS=8Y~(M
zJVBqK{?=V$h*OIjdE&-;W0*@1lWaG^XuKT+V%^D$POL<h0@(xw8-}B&6!s`tS=mGd
zMh+1|AOhkyxGbi;&pM0DIN^K;nIfV9eu>3n=U&DiR?DC`jtmK86M#$&L_T-5L`=;_
zCi3t4Csl3?dmUt|%YhbiZ<|Ve`a6`RXxPN#ZaaCvYAIL@DJ$h1Ha@byc#v<Th`BMs
zu0CwJ@}ceR{Cn4XZTK(${Loq1BE+$&CH)l=V=sfrI)XLALO1ub#J26iQ9Da~v-e|f
z$h+^9>MpHrS@Y>-wC?p}lEFEln86GQbt-Yko-M7dkGw_s;2>>6Xduezw4kO1=y065
zc+zsR{N}AqD*}1h5kqpK7TPJ+ktW?6fSl*AabNNL2W}OjgJ1fS3=I9woYnTQ(7=a<
ze8;`y>`v&r{qND>z=m3ql{Nt<DgfjtNW^?NfT0Ld9layWx!Z*%WyvARafMxtY)~X=
z`*;(h_|rHM?)!J^M$lVWT!jKOFYaZ<Qkr;wFS584D)oa$f{ao~KmSVyCiT^9TH^XB
zR;{6SV~g?1Z-0~hWzNG;G8b9^+E=ECrK*&9zC)ev{)UP`sEx&sj-)Lo#dzatzeReI
zu@iC?y~AeNxeL6QyYhN91j>TE<HxJ}vT5}FhsC4;IBR1TX=og^`Afcj^^NXV*M}=J
zaCm8KOuF*Lk+WibnB!xl2sjYZcp3=y+CinwcfOR*@us2idci5C1}z3-<F+4Hv~}7#
zHqhQaJ-xiSJzbZb{=}Qk*mzVsB#0<9g$V<xnIw?8`O3?t@ps$3c>P~E)QVuDGTKGb
zN!aP&xTF+@9&;mGVOe2YTVUEP`eG_%*|_XPQ`OSp-i$;~(Vu)quHo%ys5S={)x9k-
zH$X4F<m6;KJoI+6mazq}u?srdo8WR7jDYQX`{p(`9ss0pf!%R~Y*0X0IDK$^{kh-`
zL;_BK1s0xG|IZF}3k>q{@Tpn#dCa9yu~O*zmGfyUnpO^ExH=ki0E|Pt$IjEAf(Fl{
z9-l=XMyakxh>f+O>E34aN)LWwf+n=m;C6zgaARtS%Ti_}1dtM&O8w36%uYijDf&|G
zJ+lf+W)e)*;$n*V#UN8nvrr(qf}IBUv4ZgH5Np<FkN89Uw4uJhUJbpHD5gq{6E9Ty
zFcX1Su~kdCWE=|oZ`MMqDjestKMHmg_hL<kD6UF{My8A)yExtpip_92yK{1AJGP#p
zcYzY#)G`JU70$S-Dk5T6Ri0`#hHz&k3_WaQ*nrE+OUf`?`xVrJa7@Ddr6o$YlIXC!
zh2`Z|4nkt@r}O@dOKGOzP&`Un%*NqVkWb`Xydof)fS)xVju8fUd%wa6{nrf`y=IZ7
z-5>*`BwW7#iCd60y!)4(t*iVmrI`PP{l>qGl-#9%-KZgODz6k$KJTsdxB;SfzTPqy
z(QhzQ1fP&O<3MfsnlMO50Xx(-toE{T+dIR_4;Kz^q{F}BNmr`n?--q*ySKl98|fq?
zm}wW((5NNV4Ax~Siz@}I77NMzZsq=K&^Jx6f_(`dYV1+Nb>sfbNyW@@amD&kqEu|9
z7D=#-Cf=}xl!Q^K31~5iupC8x0~>TCsiTq<NM8yP_-hw$=|&GHq5$84f={AFLdylG
zB%WV@ff$7K+j{Pn6g-`z4t@n_X!!5nom;)Q43#A^GcpX-`r;7atYUH{sQJ-Y;RK0j
zeshTb!h@LgJ|7)gs!?jIpbweFVI)v2)1_w_%GG52o<JS;yD-nsp|aT!NwOE{nw@Om
zq?v%wa&xb6I#I>?A~t12E##%Q+{TYIb%j6p>S9{)of6G7_~PWVP@opqv%7tpGw2*{
zULQBjK+v>#`*muFrB}94hjs&0UN}9n?PTzIKi#d^^)TiiZ6Rf3ye(K4>7t809@r*t
ziTV+!Gvm{J`waFAGFq+E3OPKpH^K82ybtCl@ZI`?ZGp+V*T(-YjeS*RQRbvdB&iH)
zTom$X5Wc;RIzJ&df1vQO$u2mp-XbOaHIx`Nj^DdCWJV3I3RY>@OEi>9D|A+S=%V;~
zPU`wWcye<y7lk-#tF#o`z$~paoDWWO{Z{bY7-?CxC(oXqyx$~)&+Fmp2I()@kUi@7
zAiHrS@v9c1h+2u{k1rM;*2h(UGV>l(6pW9cA>dPnawwl78sR4lX1N;GIk3~y^GZX-
zy55O&&wjLmhv@3MeXW@NGWO;KeL|NJJ5r?18azBoOF^#x9@yOn9~!#<+~{6y^6O5W
z`5&eEHuUZ$4a*qELa8y&?ohXOquICjx{Y@tDa3Hgxvp{<9|(bj6jTT$HJA}SYMJC9
zlm@FJv$Q>q;d#1G7SlD-bMkdoPUJCSwu2FrETy$!ViE%}GzAe%5lpZ@eb<WKdZ;A{
zZ8Keut(xN|@(*2lvZi-$-*rXWR0ROO!&e;<Ix<mv0=6ddBJg&ut|^7!Tv=vz_WQc`
z_*v_X-_tjP06ElFdLC^2_E+rYWsp1jbZ3`VXqJ|Cp5oxGsQvfMi|oVy@16;!DkyoY
z)*<NHC_aD6;ZuppCm3_W7F^WeL_|S*=Z|;agp@=b!++(S99c&&9kehv>BwkdR@svh
zkEn!h<TXb-C@UX1o>r-m2bvaC0lvW3A?pLrWo`JUZvF10#JymKAK;y&ceC1?Q9N$c
zn50MtPkoq_f!5fb1ZAd}b6H`YjMJjVOaJvn{v3vcOggJBhcr|o<%00yMr773tuR!z
z(ZBVc)*wPfIju0mVIl`9RKpDxbXB6l?m}C|;11V*N6PY3f$j&Js(xojn~)<H&N6nq
zQR-Y8SQcnFYO%wk5dWRyz7YtYfKzksA~Sh-kXk`PY(dh<+>pp(@AyM2iv+TWx;Uu^
zBTx!gw>Z@A%QrzTfsfTQ>d8i_dmP5YNt85DWMU9YL6)Y4ObwEVfG@TQKdhJq-9!R#
z{SAj7iqgk(<ng!)3i#6>KZ+AWJanm<ceB7nJ*&}%VH!u;?2v1owFjmQ2aX+&V`G&a
zP1GxNG%hKVfi<!5Q}VsC>vbxx{WBlW!`IjTJ{ceM|9dj4V`DOLPyJ69mztM;BUVae
z=VBUlL(0A2ajOkdDMCEu;z<8ffI9I+kG{*ky%rIy$AXd*UZ#~!@}I<1?Z{zeKm{dZ
z*p<5T>Ye-5mitQh<A{m0pKilT{F%wUif~+Yw!;VQwjbFbJVB#I4uT~P5=B0JfP)IQ
zufQ><(qJueX9M@9(|Kkj_mfdYJ$8~ijSUZ@o3;wIh7K{Lt5;vj>7!sMsd$(|!3?#^
zdo0t5*#q@c_gU#4|2;S5&tmbPj0C=2WUL;ga?BecJO7Rnoa@hgEm*ZSQDaS&(zTBO
zuoUDEl+x=qs!s|+LL00c#x@_CDDsHM0o{?ru9F_z5oTola-``V@#he*oEr9`qf^DQ
zCddql0j2nL3q1$I@?f_9`7F*E&eaHY#|`;_83mKLqsIgDmU|#Z%=d;$1#@1X&sfV4
zNl6blpZiE|VT3;U7+8ND*B>oC%;Jm5)R)3kc*1(iDwJTVKwK~rEp6?9w|91S7I7)9
zY-LTp1~DT^+8B=dxAQr9m-v5)hEszTpXc3~QfL$9Z;jY@QGAPsx9fFIPwStu$3d~<
z{sRtNy!r5OvO-bs@1F+Bx|0sQiYVUo#KgLqX(QO-(CIz8-<~mllu%<x6y&jgg?fi0
z5mH7luG&DaS5{iOY?nET1W*<LIkb`mAXZzhF@X&p2u6Vba3COk%jT>)s^zGD7|-!S
zDduJjLy@m)+Yi2tp-<d#F;z5n5T>1JS%cF~j;QhcGe|$Kvz;lNWRNF9UeT*AwB0?I
zaijm}8+OOxaabH%-2{wspnLfIac=E6)zQ?f9<0Mpy(uS-{4SWRrd>Wu?(EE{OrZD;
zRkCJluURjhHWL6`z24`2X-sTfZr=PBi))2IM2m@_sH%iBgd*j~>MsBgLjHiCm{OCY
zQ*iN=a88abR~TC+Gm!j4rqch_LdI-RC}=8A!52|VHHW*AAToRp$cKRNWlF;FR(557
z+4ibs$xmpo+9O4y^Q=7KZY{=xG;LH*AMM+SW|f%eI*fk#_73r%Pd$iSJaIgX^{70$
zac|d=d;Yh3`WPnu392UVOhA;)_h{ZFOIG<R7xa5js^T+{KwII2*AI@zxISCT_Qg$x
zw;36<6pTY-G=$OEVzY^DD`doee;Y5CwBZf&4kNxe40)6r4ND1gh|1|Qa><?=AT%WS
zYS%)W|0H0{MF?OBpU-~PNi;$L<S_>GMwl$P@K7<CVEcgSE|}u^$0zqS<#-g2A?xgO
zI7p{(R)f?Vp%>!QF=moa*Ne5xo|)Fvo64pXZ4B)vP$qQplEyNsE?K`hw|Mv^&y+3~
z28!#C>`zpZ)p7O7&rc<(KzD?b6VS#7RJ)SNyj)B~a;snp%O{bIV;N{4PwX!DB&?az
z#)lIZPrWVfVP=V@0VeL-7^NUwYq4Rw^X#cF=G6lxahZhD5qE{!lB;FHdyX#>;^znf
zK>T)QB;}-sKzSA4;{Njm{{uerOr;9RH8uJwPW_&~OOgAa*zK$%{b|sIWTxyA1|*}d
zK<SdjamwW6jqVw*+ksh{dQ$z>yVnm{1niRyiCgL35Hv<Q$ple+IFTaaafWI0n0PKx
za%c?SI>&_W#2ZCVK>I;ZNgzA-zlYUoS^;XCL0dDB9h{#4x?8d1b!3J_fc>z><>Qy{
zyy{e+|3W&Pl$F7i@Ut$qK&wz?DA;mVMY7NV4iQ<Y#9tY;MjNriDlfqW{w(d-^sUwB
zRXSOPTAClN?%FwCA|FEvWnm>~zg&dmy#2;KZUsWbXK=S-8%j&5e>Wv|*yq%yP7cXa
zN6*om9j<P4h|dEtOwqWREFWVu3WdIN5vv=7#1bze>bBVQ!~Xzn(W;$dHv{|Vhlvx&
z#Jc%i+XL9>rrq;mDtWud+U%Ka@Syz^sKw({E=ozH`)Np7KxSt~a7khzU4asYu=)`)
z!(q=U?J%JRY#W*>FcMR^m)d4{?C;u73xf&UbZM;FHmsULC$T^sMy%lc=i{y&QrA~~
z4Rl0m9(?lz9gbH6dgl`po!t?dR0H``+fKPY+!L@L-lji-sB<z@{A<{-9bkq^qjU9%
zGLT8EKu3Pab@Lv)CHLfF#s8t%P1|uzWngLY=>rlhpVvDKVLNyCG$S0TsACDU@138#
za7X0|Sxbd9VC=B*k57*|qNb0ojSu%dUy2@`9b3mTfpLfIV4pi9t^NOEV$pwsW78*l
zx2)`p3?*flc!M`@ArpRL0cEpAAd(F99gv=8L^|Rzr!s0?eGzp!9IE{Trs>zBk~7D&
z6$$h-4^i%r2!xHr003(UdYLK8u#U}*EOi#W4oN36^BH*S&V}rJEkI2}AhnVoE8!e?
zb^q-h7dK8BCLp66p025^j3Eq;&qg^0Tq=pIJy%@qpu244K>B9U%T}ZRDtX^Y9pGoA
zw(T4Sji4K#PwxELwlY5Ao~EO<E3^8V^sLR>PW=?~R@hkHuEeOg4aJ@5Hc%pj+kL;X
ziT*+p9o1l@e&lrJ*ZY=i68Ee|?JA9fgUWaxKHkVLAH&G%#wq&u1TC$sy0;gS5rGJ%
zK5XP&<JZLyXkc#0IczaEHREEnguqfjGaKy-`k8q=y>UV6uy;XaJ(kyJ2dSm9N)30j
zbVm}{Hx>-Wt9<n@;}wT#08%{8<rfc^&gsR)MX=(lY{;4SV**2vQjpXkTSn*n@vEb(
z!-?+XZ)Id;6tdOzw;{dSReS8<5YT;k`leeJpU;b?j`vB<;qX+gll*~j7R7ef(yc~C
zQo@weDmaze64Y(WzGBImo5T<XcEg%gA@$A6#W%M}@%r!6k6`{Db*4}MuPhQX_wXzH
z{o(I%E$xVQq*5u13f~G!RW0wAumL9!;l8Od`RM34bKrP$dy8Y>B;@{R8hXcO(!Abw
z2R`K4dlMe{h;|GooZVcbBp3^=0%N0S9zjDS0D}p6pyV*cXnkbf^Qho5BuO1>q+V*R
ztPqDChZA!t3jrqvHbL&~l_jyKC>bj3SI_ld#a3uEI);5|0@c(j^**M1)6p6<N79Td
zyFvXc5z7t>tIP#Q62#PjnWi42a1IvZEa%^z9})3;Guhc!aH6kw_L4lGZ%Rv*@N6i;
z=?oE$G%wm^J|C1C@)!xiCxOi2wvM^9P$ZYj*&T9s%;9qtoR(_lo=&fW2bEatW_QI@
zoko)?jrvOsu5mF~fcm!;Wr#6zkc{8jn<k%VdOFI4slNTdr;>#+)rmbdBTuu7)!*r0
z4`Z7oG9osKe7XxMO!3x5Xofi*&C;EvumiMWFZ&*TZ*qG)VV9wLy=95Rf05GhsPN=X
z0!uc{!4jK9yYO;%z6Cz8+fJzQ@p14U0KZEk>KGJwXe2FFtVJ_Bnbq&$Ao994<L`|5
zcI>!M(%uU}W4F(s<lwgL`M>>H@qal>?tx=z!lA|vO41-F5wTb@fa2-}bAP}16{f&%
zw6T0-i<-njoAaowYTm@r-X7#l2cihV_uKtt&vCXTC^)ySf>OflHLuL^J!NGl;Tn@5
zk@SalF=Jh0yjiw_DtO7=g|>mn8)<Seh+2<B4kGQafIt`K-B$9+E`>8+JBUPqLIG@D
zU?T-vNiX%Oqr-FONzW=$p)QN%OJJgY`ka?v69xKFNWskQ@fn9xEwm2x6$|W={D@)_
z`fx5x=)!PLI6o|CWwqSUe!!<yl|=;wuSA}jT%}ovuhJwY$x6PRgUDF0o5X+txxJXj
zD42qmVb@>jo>!0N|NlG!x~`M)SxRc1iovL)kz23eTnYoB0t-6S->rQ#y$kWY=G&AO
z^72UVL`FtsB&`gur44a)x8~D2J1@M-7l+=L7|6J%Vfye@(Lm^H5dE*J3=#lM2{K27
zrXLFxXIp6Eb6LQ}k%b)t3wH1(2+~0gIlAVYnY(Ob`Jq6hj1X|d9WC@R!urk5CG~7x
z-K8x%-b?vDPgvffWnm(;Z(?ntKuCI)a)at*qB88P|0M`0GxQXr`pDys5v;dxgb5nZ
zDhz=QCX=Us%Ht0o3;%cHW&m+Hy7ntZ;q2i=TIwUJD}=sdMFVmmA^3bNN~BNrl5h$u
zUve1*u5x&m9N)b>PA*@9tQ`HUmW29?97=YQXxZ!`2=V8eT(_=U+#hDpbZD26aAmo}
z|AZPqP!1Vpa`OUy6DdGg*rH%Eysu&3>_J?#{v=&@gLI{wD&?|yWeP2SaQTs-aW3mm
zUonLPIeMkT2mEzJ0CmtYrTaH0z1BPnh{k6jLCXC#V01`g<Ivsy-i_i%E3J-)LcMFf
zO+`b6CMu*ae|*B#tn!6@b5(tmM57{jm91$YS@CMRFwN~+((PA0PN>I5`7&Tu4~724
z^ynvJx75MmL{gIOOl|~=qR^${T)1m=Eg1mBlEeRU^>Q2Jco!Z;&WeT#Q0fbXiU~39
zL2WrorzU-HQfAgZdB0wHNBA@9H$F76A<TkR{lajE>*g~YM4-OLetA_P-RC;#%88}W
zio|;K@4W)i*Eqlj@<zSbs{M;8u)lL%2sVPV#&uAx{BRvhxtsbqz%mq>K@<w;Vr5bv
zBpJ7TRMm+UUWJz^2*U)8sZLaFws_uz=sJr^ro|`8mD#u+9{ShbrLyS1ecJW;e?1)p
z;?mL~NM&QDeDLyVV<VbOyT32o$t@c{HnSwVHBp$Sq3u2!=Uegf29{aBhp|;hnl{P4
zvy)`Yw=8U7_P4ABnJfSbgdWBcjETXq0%zs3KWQXPq{PJ$6VT#jo`dQbB2w>9Oa-^Q
z<0K5&>n8Hc9n4n8-6REnHC6v$9{5}nSdSvd6dqbYh)2m<o*ou8<NgaSt@U=n@^p^Z
zx?n}@gp6F`LZx_TbPG>U(vXBkgNCct>g!k8)q)V^_G`Kr5DR)qEG=AsdCh4)S5^s$
zo=e4omEYz;e@p&DE9XeXLMG9I7=qfM0_S7!1Wwv}-a`kwoTj6rw*kBW<%X5E*5-@)
zy)_f=)XKbtoUk#iWMIkRo{CP2W9{I4x2|O(x0bO8yQa>Dj2Q1uY=!c}YmJLZO_Ju<
z&9nKXFOen$r|qjQ`_7F;KMZ>M2{%X{MB7MxF9gxP!9mN4i6KEk_`~u0!&9N;bML%G
z*ojO@rj$ZVg^}QmjrnQK<=k4d?83X3bwBf?=$a?v<j5Ix>+K)pW4%`7yQ(PFC@Phy
zFa284KJTx~=K9G<Ie-8~*m`mfE_axjAafuSC7hZTdoe+|)Y-k#wMM@m@a6Yc%9#$!
zOp}XR;8>>*@q}t_M5XPQ8b68LoL7hPb>xVJ^38K={{4uHiwn+OcYN$;TGLTHX=UnL
z>F`Q_+o?qrMfx4)6ZP(oL*t&^Fc_FBGgRaN6&d2W2alFA$-f+p2h^{yXMcZj4+tGl
ze{;b8d-r936_R1%R%_Sq12uy%L9?Nx4n<kYFd3&wHRPg@BgM?kWWBBpLx6!wJH{Ak
zi?of5T)G)ZhXh#wG<>&rcd8cnOXcJ<YCH{Hi#6vg76NKWO!}O<&Zrf1@n;FQ95{j}
zKyu!Jol0!WRzZIoFUe6ey3vFQt8tVVw*H&)C^x?T0kL0Vx7PxaN)RWk5A<TH3F=20
zEps!Xykq)}D7u*LZ;FxfZb}dkd>u|=3mrLG`ZyZXXnjKi639zg-&=_UvkVApnXcxW
zeaFVeY8!aX_G4e45#{kfJ4nqJ^tB88;^WYr*7($4YOQCa)L4gYUked<?8X_b)q-KA
zBTbN}!Hc0z!x&_+$(czx6w>F9<f(MI^Czuy5y@-H&5sBLRqyLD^4-JFWnh%l^dJej
zN!aetN<7(O7YFOpXa`&{fHcs;Q8B$h3|9+XCUB3@>NXoeVQ-bp7r0`vR5ON7#KYOa
zS*ij8WRSCttMjxcAv5hQ)mOw6m=JnF<B&?u;;KS<Rg16BFgjdWACW_D&NS$<5VPM|
z%}x*FUwcYP0&;UYX$uNY{KnL5k#5x#Pq@1opaXz-oN2}QQm04O?W#{5IPoh{z&5Ty
z?(1{@>wUKSVad4nP2D*6<p|hFnKhT?z2B~SUaES2sCs>Hq2{<OVDLKl{_%PLYv;o(
z$l9u}zxI3Qxgq<qEn7N!`0joHTrLMz2&h3QsW5Psv)g|nV2}a+BqF+;u*ExWd|wt_
zL_cVdz5;oDok{j?x7K-#0J%C@UJ^ZiAEkz2dU0^p47-EbSI4Ph>wwB6A{1)n?FNr=
zx}Y@SfLOFu8)FtmYP~hR#|kEd5qy_`%c!`rbQ!6+cUw$5&Lzc~bBKt59k#<;z@Zqw
z=JJi3cG?b%OT1L>^UX*QoOl8!1JOEKoo{h}EROJ}<K}q8uaNjCrdQTv8Wb<WlM53P
zWM-`6vg5{?6wG*+){vh;g+cV8EpfLg68TzRgv(g>XBi3fsuF>De6~MgEkZRDIX3v8
zt{5-#5RTpuX*hRH5OjT*_J*9|*UAkcKWZ{~=U_mW;xC7Nh28Z539Y!Gb}<NtBMs{^
z;0|?<V-Jr-O-y`@fWFHnMNcvN(<=W`MEo2r_XPuT8y#_RtN1(~gg+_%vYF`~WQJ}|
zD2{#v9wBON7nw4P3in#I2ak*X=elMp|A+H)J0mv_8r2y$yIY#=3ADwopA;eMOYs-E
zAq1e14F@!`5`?v_nso16f0Y@(z4t^0y!bkE%}p<)9UL&*p?pPQ0#GszQ+pHUFSuWM
zPcK{7wc=Kq9ZY5~Hcps;jH{}v$7fJf$n*9i<zJk`!Q=TH{6^=?b=B)n*{7d}r=i&W
z=dRo@J?}ftf*3qE(X;P<7V$kFD0`$ldOdA@d_7)&u_6X#Kk4b|Y}PAxN1ZQ6MOp5L
z;Ezu2&)JH97vQOKg^DDCN!zU7^JDUxABd!)-+&KBK}itXFdP6sDPTJQh{YjN(N!DC
z3B_Ou1#QJ~0q`kCK-sRtJ5^dNp_zoB*-u?39Gu)5J1mNOwtv!^i{%TlMdY(cU+h)u
zw^*eb50Ft%`C*yI?~uA&SuJ=f*~j}B;I$*=Imkc3!>41KL^!eO4I@ZtChpLFQv3oF
z(hNul#ZOc<n~AQncI|B|2PK(KrdIN(%6(E-f*`a_^Q&k^0I*S@G*asr8!q2^p=Szg
zzfHl$`g8uqVUGRAxy3yDd-zH%q_}Tb*PLmkfQ(u|isck{og#n7&r+7KVqFmrsZlkD
z6LZWASo-=5D&m0HF9<!+sUkVlqv%Vjrly!KSQqw&Cb-^lwDB_=D?0O7oV)vZ?lKBl
zdZsvVgfb09H*c`A2c(TdknjMdmGTXq$PR(c+#R7PCR^wM=5qFJJk5`?3^hEu{DG1i
zOD){e<Kce_Kx#jLQbQ3}aE)d5u;MU|iptfjzN4Nu`xBia<YY*{#&th8M7usoPaXq}
zDxs}wBEZP9&=yO81fG$DXi3voK*-|Q#Y*&csg}0Y=_rZIy`@iic-(6jX>-c0D4>i2
zbmu)SxzYYh5|CJrZWL+7r~o}#I`7jv@9)Qbc%`R*=`($Ze7RtFjdOVU#o&GZ?)B{5
z$AuT%^}D{)my=Vp$@Qnvbx@dQF<+_G>HR!Nk?jcvCZ8=f@2%H9oCJx2sbx7()p+<$
z+VwWUWwV2H8<Ls>I#@I<Xbjaso$5G4!zk}9JX{16Q4ApzfW<Lkz9Y$XFC#8pfRUkj
z9GV~+iF$-r=j3v#CIa1D9NGSM)%_0t)KwJhxbAs;{cVRaZ>-umMlW5hrt2$6THaBn
z0oSBgp)3)((^vC4A#HarWGS%V*o8#I(riD%zPlV$p9If(x%W}}rBk%7O8Kg(Qnu6@
zi+QVc<bzXbfFiz3gw3<Nu<D*>0>0hY`#gN#Fv4)6L03Ba@XJMq9xP}ne`EfvVfw?p
zFUh7@yLr^zf%Fi75G;V)1%a-sZ~cKC&KG8`Nqm0f#pwDE*Gk>jmAYl?`7^oiUt?6+
z`2q;vf5z|*GK*FNHgqX*7CmwF<bRcuUp26;cWr*zUAq7MtB}_juwpB2b`vYno66<4
z<t5t-d#~|8i5W@K{MNTdgOM2~dRH}Dkgj*4n*W=+zp~(Nz)fx_m73T4C`vtLvcp-!
z`LBu<_4N$6g?^!*lhOlh3gE_PWnTAcT<wWcvTx(xbU(%FYH~b_bUcCt==QH`fKXs4
zkdJRmM5g|w7~dhVj1NnW16F_}DKzxqF$>nm)^;N*OFRBRrn(s6m}QS?9_zlqwof(-
z2RXz>C9Ct_nRI$s5$o6Kd4Ex%(Fk_`7vn%+u8Gf$iA2depSxZ##!&Fy)I_i9l;2go
z99EUre|*}2d)<$IF|9WQ$C66G2=k|=|K(ce^}6%*vD4>*!sjBy3mME|t{S!;y{qQA
z)RAuMacgCSs3487F*jiJQc~_xKB+3RJ5qlkgrjv~HbJ%J(?!Ii+=cQbR6IigNY^rJ
z%0o5$`G>xG@0&L<i!LExH5M}s=>A+LDnOzP;P-1ho6`W7kqQ?(`x#EXk@k*x^eo!4
z6o^mq<#%Akz|~{jPucQS0K}Lia+#4EqYy1qw^G7VlKeQy_yt&Zt~o3+?zp1!UnA#)
zos-T>O%zFp-z6<A;st)`<Jc22tt;$U+(ZD#Xgf}H4$^txGGb=00Ms{Fz(wfp?bu-b
z>R{YgxHT*wcmxVA!-3*y#NQui`p9e~hr;;7U89}QDvTL}5@zT9N<~mOGg^?PQ0&0v
z%KT+8<=C1pC7Qa5Ayct!!0qS2_qwcq)*u-yuqx9I?{n<ofv)ew&JN>L2WG#vW2#20
zlLXjfE$}jI(D{LFL3m=wcsP1#Vd$Q!CUk>{23ty2#f#AL&z#DNmDt40eV~7Vhc?TU
zkRbB{a+0f#2iKr!zmDechs%5J@k_WgRKmOj1yl#$2qMOB#J2onE7BLZ1UX2**|YrN
zfOV4x9*{~e4fRPY6^m3>sk$0e;H(BBiGSqdI&dB)_52%UyxG@2Ks>pa(_MDI^FHhS
z_+p!61nLTt>9y49KtSv3jm;}8(0Q%V>Gax{%%JlUq;nTE?zzj7{j^On40M3+u!gZW
zmMIxW`cd6bWIeoF(Aaa}J;u1JXp10o;()QGF|3fE-=<vzxvq7TU6h^}bw6X!gy>OS
zYh8}468tmGKh;7WCAI-Lh<D^f1^R$ZbjC$?ti|5<PW}=4$+AVad1BxXrCefKuP#AF
zjMxkTL^p@O7#=(YMIiRu_a{p@hV@o<Oz$~lt3g9{m4tU_g??*1VY-z|*-NFyxYSgy
znJ(moc%AZRlWog%^3urJ$ww%zrbO^c=GZ`L@4_)kF?vy8WoUY4m2$bCL&I&w-lY{Z
zq3&W<VH$ZusS_#rb%P9r0}@WkPl;Axs*!cWdOgpC1N)4+7(!Q^2nts)Eq*T$p8bQM
zXbP9M-gL>UtpF$dk9w?8$*uQz8yL8{VdV65j4%qm=$?sd{eV@Z@f%6SIb<zj0fbsa
z!)`&Dw0PmbLR?7!QCk6Y#IM*15-RD&rUJgRGJRP7H5F27*<yt%QhHuQ=D}_bb5|pA
z0kQ7g(!rYQx+NAk1}f<5h{s(R^)Xw+Y12>uV}8R(v`ppL{G9fpbhS#^TLffuWY%$U
z^Ieaeu5dsso^S(fg%A!Y)cnqPl$k#01d$Fv4*Au{!(-{;6heTJ5Deiq3I?*tOA8x_
z4Ep~s5qlNZ-Ipmx@StJ4;C?Uo^k@9#57ct!<Lc?lhzalIY?b$Qh)d|-2ys&YB2B^B
zkY*H5+xoHam;>L%W{~N59n6VDM&CBKlG*viI>4IAaSlTLEz+k;<aR3(+~N>6J6!+W
zv`%OM&Q(>Yza>tF{PI47q8}|&DBzjqAMvv2uf<_u-{}youJg1`#%+yl1U&RqMc!_U
z?99=19UL?&T_zukwm?Rx=PvEHYHY`_)tE)!Ol7JfSV{d6H}6&isBQzH?R{wWZ-%Jz
zGZjX18evH$*1`0nuH}sIgcN07KVahc-`k-xw@DNEW4d<-HtX8Zsag%;l0-y6iS&K%
z@ipO>szFuA(uW_DNJpG{%XM=lFhmXG&i33tzJ<U^0^!J;iSx=|PA7DPmtoq8ppfS2
z-sr6}V{XeKsJ{I&Q!R%PEXQ%ebOhWk782t$3j_Bt*9g@^Z$ODGwjl9Ut}5YJ?i}Pg
z9HxMIu7a*uhS{zLm`K=pZxlKW9nq%4?j?UHFP~c-;Y?R+j=`0v9yx`f=V8L9f%2>L
ztv-<Xk}OqIGI5$>5a{dH&5TQBYNCb}ygBpmZGH`P>uY<f=Z`b|Lqd2W<L-OQC+_b(
zdXAwM8rI1JsP7!kRA&%-&*YSqj!<*29maV~DujPhhJoQ2?5bv&kEvN~ZkJ*<eO02u
zubQ+A5g9WD|G;@@{!>jrfO*}briKPh+2X(a7VfwLzw332?}Y^5e!1HMMGBUi^%nEM
z2FS<hIOVH;rj~r|dBgC85?%8*dISgeZkm4Ld{ddAQ0Y84Rta?nRR5S_39tNGuAE}9
zl`d@1Glp-g<`Ta!#xg8ZQ<9qo4Su$yBaXh$Q|MdS)IR2ILDvbztmNy)01|!>ov13V
zH%Z--7$4Zv2al;w(K@)i9%GVAwfs50i!0x_O5?b|^a{LfmHMda?~LZfszNLpepdEI
z_ykr%<Tn($by$V60SJBtqAN|RZ=pzj5aPSoM4Y(O%)f$n1*S8z!s=`Gs}8vQS4Rm*
zVjQgfX8rq-D3uJ}_{HRjT$ZK_?>fqA^ApR!egi1|T)!oDk=1DI(i(4bQ!ZIAY%F3Q
z4u$=2x8{<HU`j0|C}n5i-SedLEuEiMPbVZK1_y+DF57+#=s31R)s=@KzUvic+96CT
zFP$*Zp3(l3HSmJnN^5!5jsrjoRDY@<#$_Re8$sZ!u@gjvs_lYr?m3&`;zRYy4)ecv
zN~x?9E|b?WIPjL2%p9l#uqpM6UV;#5*Kv^d!h^t_zC~qGh(fd&mN{bNK=0v{_EV10
zq!iEifW6<DSe?TSiOLXJd-SljgV})>WZtf}>?9RQR`p9+%N1frYWYa7B3nl3#fOY~
z&8J|+oaJldp~QrYL68TE+Z!>bf@6f8FLu`%4*NPBJZ@NZ=bZRXt0hxu1F;Gb#R09U
z49EWKEto}SEp>I5UQr7S|5i?Ydl1x}Nw(L`-%J+RV0ih>aH7LY5WUG2(E^t408jy~
z?G&Q(xHSKAko|J-ryoSHkP}#e$5=ZL`yTiS6G;(}v))eH+G1g|TXRJ>pKR5uM}~%-
zt43(6R=MLrbn&1?gb;r?6M-Bh&7=$|+7#}?HjoMwgs}aIVTS@8nnEgW<i<rG_2H&E
zxI~yqx*y#%!fmBb(JN&&L-UIJ9cm;un@k^G$&hka2C-&j3+Q1F3lIt6^@l7)&z5{K
z?7~3-D9`GdgbXLb&y1vd@EQ3xboCNl+FMahow-c#1|WT%x$}%>quxCaBL~?;eByw>
zIf}~R*|vByiE!=uZMKC5@P$v9ip61e_9ky7zyLOyS8@yud6FR}YgWe8RxrpBAHaoU
z<RazRT5N#<q;MjmRXddMws*JrI$RG?P8u|jV>nhC3NG~8;8>EEM~Put6DR)(iDuFm
z$mzhRB~=H`z{G(YrXv5$_=Te~x}rReB?(1{Ffb!rMgTLyegCm1<ulK*uoZx!%MesI
z6E<`CSx=yc^h<xcrWtf{?Sqt%B%&9K3o`Pr2K|oTlf1kNvqeq=kog(?iigGA)vKcV
zeM#XZ_TC~>>=^s{*5+-x@ZaJmIxo8J+zMtc$N8#EDBgOh=8nWFlcIy=8j_vs3G#?<
zT@P+s3Pj<?9X@M1p8^F5i6t^!*q`RmvOxCN^5UXfCL8EJD)6)9e95qtaZ03>*hDA}
z9$-$8=Ftp$vA1oD*a90Wpsnob&bs1%cc=75bAS&IdHwa}7My!6>wGBt_%IQ2qEk-|
zd*rr8<71H+&jvpHK-aUCZ10DIXwPjDzUnXZ;5uvs-ztDqJa5`2^BopMEA9?f)M;e4
zcq?BY2l%|{!+NB!L6_zVa1`AyJsU1bU(Aj@zlDEtDuhVzmsxO%Ml5H^?~p_VI;Vx7
z)9kAjq5ec1q8$W57{?yT#w(%&gg8U@v<Z}xY8yf5(`WuDdCSKj;RKYhu|_Oja-;u9
zrmjdug~M%1@Ec}=q}|QKmsbzyeUy!i6}JCCN=QtMN(2yMZNsP%`t^XPIdhn5Zw7(e
zdy`rhTmgh`fL#^ZUdnlNlj@Yf{r#6`e>mL=h<M4I4xXmn&gq<a=752>h=_Q8fY-hb
zz3Ly9dE^yy`zDmUv`ubHS(@dnJp`h((ZW+O0qnlJ!u{;+vH=A#7CDkJ6Zi#Re{Zv&
zz+*%`y`rj$v!NWZI(pi%M)fCqN6yWUq2#Rh!9;s)3MEpC?fI~Srhd=MLVAFI#F^(W
zgD==t+-^I+e}Op2wuhjw*IFsppVB|y0^2fDLPoS)<9jQd!|b20#ru&VTZ@;}ddd`=
zRR-L_5G2Af5y29`Ud0U#=`kGtS!r{-R9`Aa7zNGBMn&}$^;hBtRUboLUokj<CcCX*
zw&uB+?~>I=-K$4(F^v|xZ;I)kc*`7rJ8NJFv$uM4q`};-O%m#lT>sL&`Msgx;L0o>
z#~!6K{+6L2BF|K4K#c1s!$FJ`<Po!^)&Y}mtWLUmt}W_9K6)9={<T^F4=W*?LBN|e
zz5UedwAJl$w-w~s|GOUP9v^n!m)7lu{XY5G`BmifU(vVnf;(HL$o_03$hPmipvQo>
z?!EtFctDZK*%<9`APQ`5wH&E~0aCsT1qU3!c}SO|@||mMEAQy2PM53x_tL)lW`&Cx
zjw0~{6Di?@dca_MjB%wMC4<8hzSjgZg<ck=TD*ckQhyMQ66KCa(RA~xY4R}Ha33a{
z#lFD!pEt~aP*>FUP0XB0xmxb0;LXLGP!z!|y@YCsjg0y^_D{6La1oRS0%HcSeQ5K9
z?{<(m6~FJq&0@ZxiBU0A@iPjMAuD;!bt!1OA?EGa6^TuUj6pl6I)$n=uz^Fhm#+^*
z=73P&4H{{feOq8&W^a+TH`^tdK3ZR2uTn+^8U*aE=rX2gxRvL9X2{g==?q0;5~D~<
z3CI(h1}E&ny*jG_04Y-Bpu4NQy=acy3Kv~olA6eYP>HcpiE+6*G@Z@SP=UF!1y6SN
zIEea=U=p&NIRa;8vi3&z901#QNvW-6a!c4-t*CXW&J%MX7Qg61G{5(ERip-Va5ck3
zo8+PP#68x$7kUE{%7@0rkPW1$Fq?%_GJcq$)d~8si5n|gavxo9t&QDl%dX9T1A8Ki
zmb*tgFfGTM?Yp+{yv4(gm%`4eO~&`Rr#7k<xPmYYAOCuamYnW*P<$;qzBxkLfY7zF
zI^Njm%34eNkZnOS=>Y$sz&MUDG{Xo$$|;=PUb+nbTGsLx@>wvIz9UK#^?aZGdJkIC
zKPGz~Na}F9oUA-cf&=)EYquR$ApeE$d7AHe{Pk&E51Y3--nb6o7IunHx8AnCo2Gq_
z=k$J?g3s+{3-o?IeSJCY%)R_uQfw^xr7zGw{-gcrWnT+58%K>@26}O`vH#e)Kw%I9
z`F&*vo^5^%t{*gi@PgH-SK5r)()o7j?7hTK=`R@W4{Z!dLO)S}F4Z^ucw&sD3kYoA
zzI4QP!iS>L32<0Il^AEreXNcAXACi}|8;N0lUFnlIlW@5%TA{HgL4#J3Uh&MTZQ7>
za*m?&sU|#s0Jd9tzHq`C65-xPc`p(TM<A39%jR_pM>{%qnqFH1os39&Pp{?j%EETh
ztxoaqN#FdhR&vWP&9KZcaWOT`^A!Hl?YOq_23Ckpk`v7RS{`jO@sMuFISJ}PKEc?i
z733evwH+AyK>r0BY!-I+2ciDvEpP7+&2AfLq<eWXvFjt&>&=xj1(M00>kMJ~K0euR
zvo$X38U~`2xUr7S`b4Z(&FsS`F1;FF#<Yv-N;^b^gysKE%ama}A8Ps&`o1I@UR`5h
zyjyuU)@&!D8>XH39?6k;QGwx3&J>L!@B>eXHn8aCbqULB9Ao1aPFc-%(Q*kMtJdos
zT54-2q2Jzd<f{dD5thkEX_^tBfxe+$8#nP=7N6NLO+T`uL7PvTrG+%F%S&_*&Q5q-
z-<+aO+nxr!9DzOLc5Sxdq@HheS$hi5gh<%(+emODlLq{`pV1H6&0liB7zDN(hND#g
zpQE`7@SJ)~E)Raq1PARp@4`Fp601CSv`*dU|HdRf##-y0SWyB9U$CZ>M@dj@;PU+7
z1i0R9hUi>RGiWy1ZuSJ#ee8Tbw&|Sw-#SuWKwpvc=IjdKPFnzn^V8XfSehHa4O&wZ
zJ4>L@OT01pA!?l3!6A_8G=R?h#{f8LkoV{^7K;L(L7t=BG0*X)aN`zc!B5SW(U&-{
z$Jb_}%r?`g*Bm?Ywv*%3kvcJq$+$+9R6LGUyaM~ml&}C$jdX_<I`egm^~mqHJf3Ob
zTBmfY{XZ@MJCQ#V>+Rw$ygITjeJjO?ur-m@Nhos!nhO5l+jj}Tkr00u7q8*mwA=w^
zE04>DTvnonLsxLyJTg&TP}s*g^-KLFEH%tz>P(v+y<Ta$Gc9gDm&vpa#So55?m<S`
z{=Uml%Hc~rEGat)A<*OSpF0gG3JBf=buqX8y5LB=_KM{}fCM2#(_WB#V8keL`2N+I
zhDV3b!BjzfJUXYhv2-C%Dnyr?&mzjN(EgHmNeY%>;oILkVDI1&3+4QU{Me*)mU_=K
zM^JQwiDFVY=zJ3BVxC9GOslRxk+xnmhfb9Z5~2{W%Y*(M0Rv$ao0?nQyq;vw$)c?v
zwC5%aHmEdeRilFx5(Om;B1i;(HYC7Oowx1StCh`;MF~*_{eR?rRX|m5@a;hmDWzMw
zyBk#C0Md;#(jnaql85dt=?3YLMq0Y0l@2KZk-i`P{`bD!hx>f@)2252d@<k5nwhnb
zNO50a=qn$Ie9FXl2?&NhzN-rLD!vl5Jx?)?1VW5gUGKhMOzXjAlm8e)aYSN|B@xr8
z!CSBzme7JdqBk<H-@Mj_y9M1EA1dVIH&cA~Qtr=QKb#FGF+H4;J%CzteV017_5;20
zZ@uq2ekVPg`Q4A-m3Q23vB7tZ-+mi!^9a=ik9mk#MpeLoApLOF*U_e!63ytRD8$pG
zA*N%`c*m%Hpv#T;#~bbfg@wO0@|J<u32i_1ua!2=?MH|{IR|8bTE!41(BnnH2loc<
z738TB<P&*&8Lv6Szhu}&AFXmtVfq{poBR10FyMZ(Wh@agr^q3s2*NP`i2H;`*y)!u
zBhma`4+(!xon|inf(P1kI#0Amu@Q;xICfc4Xt>0js5lu{zfy?Msy7uc5<Aa5Uny5p
zB~`v4cZ4YRXBv%Y2bMq>5>gjIAneJv^c0-UD2T@4n!xv0&#@i$zGk6cxR^y!?7$vd
z0D2=WZS#$k$c`D;32Rn<$&}9m8=iT56D4U}qsg6g)aTNlin0D{r8^{tc1(7fd;ILm
zdkj;MQ|L<%ZWR-d9HIK_I!DVu_7_Ee)~JR)+~{X@%ih@&l8E#Y@L7|}?<lixq9X1C
z0^t#I1TZ>ygWn8vJ90k#%7E~a+x$l}UtWLdi%)*0Kym9;PVdmHwo+GnxaXx`2`{fe
zOZp$r%V#H%93f}{o^j*e?(E2l{>c~zJ79VyJL6+I{*)Cb2*E)vW4`%`08H51*VOrB
zG(A<y3Wpya^1_~82)_E@)5_eQ+*^mMxOXhw|8h(JjxB$`=YYZsWE}vF-0hYWna{aX
z&dqW;UYY@Li-0ra_4=Yz@iAM~`TAcX^z~)SI9%7W*MGaodf-wXlMXS*Hvrd@zyE@0
zRS;N+Yv}3Ty@K-|j=U~!E4%~$<?~LS?F>vSHrsEd0^_t0h%z=DJe|oAf}nVP`ms;r
z8EkLn1FDUYE`gSw#l~8Slpai@hv>NzO60S16{T<(S{60xqbkbW;_zlmRfa?&OZ$NT
zAir$L%Q(8Ng(D;-c0hurMy8PDIL1?_gUeTyt}JKS^MOia%w5lM`90Oz^6%e<-Rmu#
z9q-#2X6D}ycR&56*1`yN8QjE~8yl0jsSF4*chr~b@eYs7RcHHNHt^;N+YeiRd~t1_
ze7NJ)uTnzWT}`E8*$mk#N+*M;Oz0j`q(uFiAwTbbq;UxUyzy;Xl8+C{@%@6Y+@)_?
z<)T-D1~_{Jc8tsx%C`au#k#E5Gv}@w#1~H8z3uJE2iP*}!f+TyimhJhf4=4jX=-ac
z`;eVo=`mzw91-ti2p7qK1i|DU#%>h2)S;@$rI%41DPM`=kIu80#gzO}K3<8x3wb|_
zdJ=hjW4)1ewMy;E{IsSl&+Si?!Y3J6$1$jk0b9GlH>Y;iSAQ}5eaVwugO-Q(t^-Vo
zNzk@sv(rDPAo0bFi+osfHx|=%tTYl%u4NOpc98vFK|^*M&y&Bx<B#E$-)V$F8%Q+l
zyneU>dCtY9hesFZF@^b<rnGxRkbj`x`#W`j_RCy!pF!<MU+1#ecfZ(|KU5E_O*^jg
zFj*>+dWl!O6ebDsi#ig=(VxlTl$n0_38as2H&s*!6UirQm`u?@(GyVS-NLO@?EAzK
z-#D*9JqzVH8`KoD_?(1!og_;1b}1<K;&#Wi#A~`JF5h|-K)U_?y^w82pG<kA7qy=+
zK6R@L5iquuTtV~bAyOA=goJQV@I&~GWSJs9fig~@HVgzY{{EbwKmD3kTCcUc-9Jei
zg_p;J?bBx(x{X)yRJ9JfzYmAV_|V1lh+`)=p&oXq)^|YuB&2I-j2U6UK^|SaDRK9S
zEuC7%LWt2lv?`eSuoV+yi^zx%7W@smfirHor<I5hd)6#A;@VMOuO(k>X6?Z`=%!fp
zf*;f@m4E*8apF7@`i$<KO))%MXAio2l)8ES9H`Q@zy0R=xx~SgW#rDH=x>17^CTIE
z^>gZ!(Vc0@EGERn8W@y3tu`{j32L-&SJcKRugzDS*^F(N{k>hp%iSGNW-SW+{F!X`
zm#N2H9t}cT!mm@Qfyt2~k9~Qz3B|sg;6#v$4S2n|Qh)V50iR8VVd?M>Qg$=X?VQHv
z^W&u2x~>;$nfyR5lo+XwII5p2M)>!WE@weKh2mT;(26H7RgCB`9`n67rct|+6W#z!
zY#~`mlO*H;SPizEyI<yTKS0+;7+tpe7GlozOtJ6Lj_=X00kX$q=KH{_KVF@eUVgU&
zez$Qk-UTbRYi%CW1ZNZC=y$!ZZ+p=XKmRL@03w3w7S28=&iha~k2eAk0;8}bR%?&!
z0fCrqWX{r!xfaHG^?Mbb1VOg=&mOhk<~am1SafkD;;HMNh}R4Tj#Yeq8sVKGXinH1
zG>;OAcTd#ByQ4mC0a5y)wfQoPO6xt<Tw0w%EPA6wb@$Y)?G1M`D=E>Ci^5a4G0ntC
zVxw?(tn6v#idn0Xt@!AiJ)9<SZTih8%*KQM!YMX5^Z0E%!Pi767_ayt{)qBL3noKM
zdTCsr(v^(Y5k9kk23D<ra?7Qn=@3%&Ute=gkVso!DU`DcI3E}r6<3W}6j#Pn)FHOp
z@W<MFi|gtd$)AN!oblAnGyb8L%IV!-BziyA@&=mLARS*ZJfdZE60U6vd5@IqXR0pu
z$}JNDdWkZfv_DXaK`Gjo9s0k!$#+hla*3o>63sh|C9Metqm0w;SO&4W5iI`FJQzj`
zejzAqeO#Eab7J2^EL)MO!i7ECC}8<zgZ(7plaRA-=JP=B!7N&~xvm(s2K!qv_REEl
zG1D@UT?3C#N^Oa?ONTFZvx@0vHb0u<;X$UPi7L@c(|F0&7M6A8t91+vfcK58*kSL;
zW7KavhDEC(2=Tbr18NR-)<vEKA;;c3LV!)nJSwEcBMZ~A{|F)XDNYJm>HGnxw6c5O
z^cX}lw)@&eLGGEAKQqdl4?ia@ad`&mJQM14+8R!Z@jcHsxZ8gRo&nt16Q<7JOn%qJ
ze%jGCKy1D6c%Z*OWX{uQjpKFemR73J8YaIOOj~8Rj`D<*jxzPj=f2-Je(fx0#<)cU
zWX3!Y{ExJGT4hDUBT$k6Z8WpJ%N@x+ZdYB+uC!f=o-FfX-ki-m&uOo=^2<rWAHHAJ
z5xe1pa^i~Jbqlpn&DnhLvZ6mFoDG*Yku23H2G>5xo5NyMolGKr-PqCL3mk9qvZ*}U
znXi9eOgxdQeNst|y|fo8l`hqT6G8xYtp@SW{gS^W#JO~FGbj0q$ljB$I@(3askd>_
z{09t~JUf6cwcK&mtyp%6;3i{gJ+et$B#fgD4Zp(d4Y#;$3BB5?vR9mreZR<d<+_}>
zbzGE|rm76C1Tf}pex|(li{*IQIXYxON(@Mq)=>%1ie}JB$1nRR6&b^{vDcsSjUMyD
z`CfF{41Y15<*5mz3~_Fg@OqwJM2&6z5mFkex{$N;>2?fh>84qk$M{+7>E}Gem308~
zNOwo3r)JqsC{N4dX=qznVr+aH*Yrj$i-Fe7Mj%26_TTRn?0A?rO{e*GRySmKCG;kg
z`|G`!n{j=~zH6{x-2mt~G%`5)S#_J)iK0SOinNO_@f!bu2z5_x>>!{E!rWXiE1EHh
zc?1pf$xL3!^d3m{)CTB1!ZE%RkGacduTDPBbA3OCJN6j&T0P6Yyd{q=20y)@7yAn8
zp{*LOmmMvCm3H$&?8gGh-L*E*k3Oyms%XIkH`!?3C5eZ`Hm$*l+WTBnirdfOsqrWW
zQy@F*^Zx323B$R>MoPiSM`I7K70&nH3K=yq{>bwYr^X0UGT|mF#1qMZx3GEtH!SeW
z58IVZp{G!%IgFR^Yh2%+;WWFN`uMbKl$&bd?Ne_fLa5`#>Z$!5YGIIgZaA$U@v^8L
zG)1BiIC#puuO6XgSeLH#a~oGtE2gS=*obO8#hBDD-^4q0B^Mb%3;bKXeFqcKpRT!c
zj?`{>e+pU$)n5JKPWQk3@NBlNkxD~{#dcphL_^3Y)SF51M})`U;Z7<lD1<ClJK~<D
z^qq*4&?Y|<#gI_$T+12H;TQDu%uT+q9_;qqRr*nyhm4xs#+U;B${^qJig7yyFkl%U
zez9IGoJN#~^QUka3mX)$D%toNflQ8np_J8c*5l9YN#di{r>6BK6rWz89pbjn{R|M(
zP-j3JvP1W3dgAt0hONh$P(rzgnJc>*=)f%N6QWbCZ*QBm>yxRMOUG;O5E$`91KbnH
zj{12)e>n?+N?UpqW3-*+%R4@rE=fT1y<p9|r%w{fY5SNRm_i@bq4NKC7xUtgCjf9|
zZrvDuf;S^WdhbZbd<KHci|l4!#|BolZ_gox8s938J>T&HW|d0btj058MLblVg=3g5
z=2>m`Q#UUEmk|Fhtc>Pe*VfGNf#lO@r!nn_h13AjJeDpvI7<E}opq{c=wTeSYzNre
zU#y?m<$S&;`GsfLxpas^0gkrLH3QuDbd;gqNs8#H$~|n{Sf3<c2SIbuA-m4exv2Xv
z>yq5}ZS20;jV$En)%715qN1Yi?pCe+40cNu)8UZFhmJHds(ZZ6G${gNwIrck1c2PK
zq)_iNJ~j<T92Skl%#QdYHIx-zwabUAi$?qDJtIbv3LwoT!&(t;S;X>?r+=Y<O_uTA
zkVeOEXM3CWF(K5_a`nqwzaXN;trP_rVuB%P;;U)*+0@hVLIDHB`?>Te&~u-Mj{-Yl
zFhE0lP5}32o%+pW(2&((*{s3K0T~csDh+-A%foe)5eSJ7a~q@5!{n9R>}qhRkuPJ1
zZ}g-QEhjG3u1ts0nK`_fEj)uju0hww+VZk@6v|bDwhd4A(MLg8_3-80Gtc1;EsWC}
z>22WsgOo7h|KyTaVF2mYY%})zI~viQ*()1Z!2DUr1MQAUh?p2+-*YvyxHqH@@xRCI
z*91d-c>|fSYJj{47M{1W8-txB$IZ(v->vIwc#i}39?_RWyu69_{cCZLY_A3q4o`h@
z2WrzeNZ;Z{5;=W%Ph>PFo>U?PLP7k-?W;Co;nN~%_I}{pg6qg{g*=G7i(yWO8*}#w
zcgsm44a9CNU3QYZ$Jm1IKHc!uhS6BzpNvtn=_}ut5{Ir{JobV}0g^SH8u@onB2xRa
zsi%f-Ug0nV71ItDY|<9yn`68cy?{z(_);oYR%Hz6((c0xb{683A60jwGXxP<Q?8du
zY8Ou%Mv`#yI@;E^HbN#k*F9F}<}?UG%AcwX^GC~1VU=K8RJ|w~Q(w!tw&=)e09zPn
z*;?hm2qY%2udjiFf*|_jv%PPIslDC0e?cAQh4%%fC<cxMhd3N%Vi3=sm;UUjWDPxn
z@vc(f=I#?Nr*E8pY9HL+GJJ7ysK=OCwXLj1r2vP38e=tA@tt1&<$tKQ+3>$Y4jDTr
z5PBaq8wzVq=2@gPxHy-|BG^;9%q~%5Jai?-)Tx|vY+;_84;#F^1Ij0FrsADmz)*WB
zIdPjbpH|8;C2m+ak%dn%@7xO-(~^peW=>Q}1svvpDj5j55zXUfe>ng)_0P*oHP<lP
z%^&Ts6jZcS^|&k)P8R8c8T;=ewZPo(FrSpqS_Mi!D3xM_$4<eBqu-Eo>I-e&aU63%
zM;SZhy)y)&II8WlP^&vVszL0cf&wYi^@!YQOMl;ha#q)X#++tE>ltYs!P40F^$GFl
z3sv>C&=9Kq!AuJ2dLrk5B)x|?9=FXE5y?!$I|!djCo#arXMv#r3s^AAY_zCB14+43
zgN#73Lzi{oq=m$9AvxF;4MOcyJ_}D$sDPMn9@tgw0fCj`BG(Y_VT0-yopv3|rltJ*
zq>Th~M!BnRjsUQahD*x~qDU00h#t7~F)U!aOMV~q84eQcfWcemJc9sg)coI!t@u<M
ze(Y{PA;u&$SH{T#ZDH~)T>m00PhuwczyBN{Oqe@B>U<c?>lRK=x$Ny&d8<Swt+~gt
zgqp&s35~1uM7X0jlrJ4zoGV{g;d)uE4?CFE5sgN{V~P4NvVYlQlcIeYWq{QBa12nb
zET_v()bHQFH&@QQS1?{-CMS1P7ZLlKs7_s)EOe;8+<l@W>;4;HEj)v|AEIDAX4tD9
zqN=0v<*_Is0_X!1r0zSYBa7Fc%<x%+Vhbp&q+ctVez14E7;C@%bGIXgaFE+-S@z}6
z&xq?_7+(2S$oKep^E~mv`5*P9Um;zNN#<U?iP4{w@n!PPCNQ`BjVR}_ES{C{^9Ogp
zDTvAn;t!nO=?w>A0ER%Gs>8CMnd2{?xc@3_bV6l{QQzDNY!$GrX~t56bP2e{*YpY*
z_<3@J%2<b&Zh#5DNhpX;U)ZCFiYp&wV|hY@(bm?Vn9yk_k^@v(rR$)d^G6;lq*gmd
zL5wY&4aue9RJ!xjY5XV$nL~GN2O4@Dp4=*|%vUs&v$e`K{<B&LrjUPO3}56UOLo%E
zRmHqc;U}LpK(D+uoe0E2k33d`nghO2=>FvYPMJ3&K=~fFs|0~aEuO@uoq_|b#c79h
zaI?C)8t7l&F(+JE_OX00)2zb|G#XoKDH+Q{C6QwbIm1UBm-`V09Hhj>l@*>)MIBOi
z&txMBCqGFPIC5(tla4y-4Z-GUSy(V0)yKgu_0hrRbN2`0@ecslU9sQ}!YEfA%d`%&
zX0$|G!B^6-ByFLABd$>xE{h&=a@0os%7~};^g)?Jq~^{%A=$*%whgLweHE2#u0Fx~
z1_F7amg-tEIdv!SFn{$F&cE<kXg<0c!h%WfQT_-9lYMmp8DCMZV&yPxM1ON@M^n?g
z>Uj|TWmf$<_M65i$diob_Ydl63e%x=0yxt!+5w8N^1;Wns#jv44hF3WTx<)>rVphj
z2&+w%a0`+(G{q>smW8cMKp#`WI;50>A|il^)Wf$aqI*ABY(b_7IBqfzBT4^N9(AyZ
zVzf!poE?XAxZdAh0c8<qZvKWO#_iw@C}L(q*PFlOy=dYe74qQy8RxM9Q6lLsN8`TL
z>Qv|}GZGi7Pipa!UD+99->+-1+@N=H_ET6_koTNvXrbbQzC~2EEPf837<sb<#UN(L
zLl!@;H23(-=XLnEGDQWSLf$F0lCv-_zvOyYx3=GT0|V-?7Z-r*{M9c5!WY@LuyrGe
zr(vXTT#R~<&sk0om=ON5uO0klMLQm2H^7xpv|;_dhjs_UdNC-$WsFH#(OW_)BR2Cj
zR8W(MVeC#5$TnnGRX$>3wfuLW%CjywncYDw{>8UiSZn5)`uS0E@vD+S6Il)Huj%<8
zj90S?KlEDzvB$PE`ixaua$Ls^?g5vVP+MEr=x-zc6){Qg4H@f0lg$g09!$vlQCZwm
zt$J6gGu+cc>t&NX<LLE?jm&q9xU%dMr<z{qXf*7P%_~Cks{AecTmx~5y+NAsx|R*v
zTW@b3ZO)yY#((`P*PRvGl|X)CjaD!lzF_==5te^Y3{1?^?JsR`WznDpv6D08ePz2J
zx>hnEVm>-P=7M!Q!Mo*31u{lrVq&&(4>M#dIa%Gt>hQM+zA4x+zt*2iVSogEds#aS
zm3@;el*_D<q0>X)tYH@DuVtV~tz%&mX{;cG35^xhS5xdv<M;RhYUy|OFRsy6J&aFA
z&qO_|^1M7bMh|BYjPWr%iLKj|G0_t}=qS5kgxFs95;f=i1h#g2bESW3jc6k=#4siv
z##dLKNoyos!ux^Z>ZUaVGf#atGXq2=vybv0sbNp7B&bW2zoJ|}qfqZx(hiegOqQmv
z48N~Ok(C!^Po>X`gZ9bfDRT$IC?%ibxVpur_@u35Eu`&br}-Xt_^gdx-8r}|IheUF
z=p~bwZQop#U#>bGi!>>YyS~26Jj<jPTG`#Tm@)O)S1FzO^~;)vyY8nQekST$3QE0J
zR+14hu%RSAbmukV)$`zK*RD`Fp|V{l`E;_CpVh96?X>NouB!)stuSY!Z_x@JXY_&M
zAnC`nGseBu{p{n_qFcp$(wnsjn^k+up2y<Z-ZLuBxr7!u@mAe~!n#jhz2BvAx3*E~
zDTnEg^|-jW!VQKOWUrR9y@mS&DZZF~Cil!I%5|u(Z;}&o(R;n}j1U5W5F<Wuhd?yF
z#Kpy{4jMD5`ZoI-b&PDK?T<=Nu||Zx@iy<yMn64K=4>pCvj>X>FQR+0*jV&^hzo-W
z`9ei&q4a{X!`s|g*i@db!xRfo@;WIdpjGG3CvA|2e%wU;xPqb{to(NB{l@`ril7}2
z&mUiL4R$CnJ+j9Gqer2U%bux;j2wCTD~8_$G&57TysfR7(Ryk1YCHLJIZFq-l9+#d
zQ?%g;b2M}@JzuqLk{Fo0u<l2zGvhucZ_~`kx%ee+J5__)qB~YwVZxa<YBv5Jt2vJz
zB%P-X`L)t_Co}8Ut#lFMg~YbRMl`jS8Ux8=Rm!H`1vd607(<y`V__p^(Rex)6P8Kx
zt7>WFd2snzv&&^>4dN1<tc7UHMphQ|coAtud;BT9LRmX9*wTGG%}CVc&(eoYTrCDp
zPCh5r>XN#?EM}#_bQt3*RWmSHn|g)~dbVe+(u9}IW*1IppA#5M&vLoj7+8Yn576&i
z+dv?n1t|QVLHrvA1lC$z01j)(o3XW594t4=naeJ%L0c506WQ8BEwS(;XiVU^Dp8|U
zZF_q=aSF;-O>`KD+_#mxgqG;BIA!$5(A4CEdo0J)5MADzTGx`0t9Pg5>}lhK9x4Jq
zsPA0m<1PxU>2VO{j5*am6am)0v>pK}N{S%rp|^~3SkkJ3*=l;ZySlr~-#%n{Pyi;P
zxk??-ecEQ3JhG)w-0NIazjLvzw)AUlhq@v48!4I88)){9Gy@6G*rBtW<-?!K_uLls
zgp*>|w_>^Wzqwu57&AsuD9i|%#tvEHC7>!QQYB^Cyx+RGM_s?LESV-fQHbXtWUmx2
zlI#!*fW^<u+?M5Udwi!5{DaWFX_&Jbt}knJsKGm&TueV4O(JAwX2xi3E^+Tl(XPqN
z%g;|RS~qA`XGn0}p*TQ?$y{#Vu3x+kjrsYR<^#4Q8fg(u6D2f%l7Gb+ENuue{Nvho
zmrzo70r}HWGpARiIcaI9L{3lJSIYU~hik5u0=~y72>&7(H|11zt50-vbxjV(rZSVi
z5VFCFPtBumJZW^!7BXrpD=i`xPD{Lq#i5LkXSqf+mYe1tgTbPkkvsKdBZfZ-m%WsY
zR~YKbwjE>~e`|DBQEV`VLcw64ABqH>`Pn!kC#hmifk}ho*1<msoarlX!7SF4kw%*V
z;%8iC#sg6LEu(U6x4oyy#5`I#zRVivy`N{1)3sxUO|)H7+KG{84d@m4)4s|28G{59
zXBzY6IViX#M*_^ghmDy_OG-{0R;UzjWh4hUS4K;9U^R&)5(A8!uvPjRN^JcmWrP~g
zrMx+a$xv8ix#!#pT$B~tXQEvKO*URyAt3FjFy(jD%8I!ltm#rc8Ytt?b8sMZ*8~TF
zyr+5tL5D!9aUyG=lyPsVjcPP&Qk}!G8@iBa%&CRMN)d|K(oD6$Zd1OZr<5=A)kXHs
zjm^3cLM`gye}|wvmm@G-nI11Q>={TCWYRF9bfZ6;G0w)y>KdeiUhi7+y;g*|xb<gg
zB2)#ZWb>IC58^g_?jXB(9dr`wLhT*r^nP@5@+iYVfLs(dCNc#K#3l{eEME6}%3m;}
z1nBbQD4D~@DyaUb8jx$LoWc*`J;|>s8kCFKZLl3;RjBnEQ}@W`d;J=Sh4`$+gir$m
z0Ul7Rm;rOvJJ!KE2mBF=%G>6bLGd)rvXKRwBxZ>X-DUCba95dRl%;bB!;xUBp<2)^
z)8ZuPvn+QW_H);a@drtny#&t*Qj^HO4F|pXjnluDEYcGVi}H_4?%#sjV!%O3FB)Z(
zp+RHnLk6jFe$2w@Jy6DRWPM_BD41~rEwCioS;k*B4bP3=kxlRrt4)WcQSwxt^VD}Z
zA2&J+uB@#c^DD^yR(YSGIyBT*IGM+!PRYs5!*biD<6L>0$+XjuDT*5mSb<2Jp759{
z)8)Rb4tWp7xnN{tX8yeX6}F;Fl)x0O@;1$IIs<iIiXQWwH>D%z(#r4il2y%g%8rqg
z0nTrg*Z05y+uO4gXi9<MNahwGD(AD4M)XNaNf|i%Hdh@0y{*tNJagCah*yS%Lv{`f
z%|#!k))>)CoqsJrgUy4|G{k?(w7*o+xXU8Ahh=15tcQJ`I{r2wFR;_s?w^M0RhXD(
z<ld@fSh3htr$nFWx!AIsOp?1V)9h#`Ri-S{sVYnifpj4TLP#Ny=nyWj)W{*yP*JtH
z_(T<?8qRGXh6Ad1CoP;ky@D}XtLPGjOyhKBL|2}7vW!@Tq!p<m^Yd|6AyHQG%({mb
zrk~oR$(g->-{rEhljGL`)K|~DgEa(beFA-nUw;v^3}swc&}7!IbI%MQ9X0f<*e|u=
z=?jP+3zCmcd_F(~Bg<*le~!i&2}IBoim^isGjE7=NWB@uIa5uxiuxUO>U@04$~gPO
zlefl>^)GA~$X@RZ>w#3Tl~p({9ZGA0st_YKw1Uv8?(B<>#1_V6qs@}WVW<HkX-tma
z{S~M;YS#ylmT$Yo)okv`E(ABf-VbV>jGNB6jZ8BsL|K?w)i!}Cqj5;U92<!*a$`@I
zjWkT9E%0F>bOkDPVq$LfW{mTvhfR^iT}K=f-sPBdsipSzOc8v6N~w%t8~20r)bC{Z
zz)OVczn<K38)^zq!7+16{&>vrkQeIe>N2N{R2|4L2<+5oGUtr5MUCP}2zXT0(r3FB
z?(;_<v;uud=%=sV{fnYY8ya0RN>OQd#?|}B^W29(io?;CjmnH8H>3x-jW$Ar4sgER
z;1VLnBM;^6>P>UYtI~h6`g9!0@`9M#z$Vz2X6)rV`ES2{lZGM}De`3AYdjHGpH*Yr
z;(vj;=Y8RDoGGnmxXh0D>=~i4$}otX7#XK+y(cUry35FEX_CCl39X7Ot0L736S=s!
z)H1&t@v6$WZMQ`-t-6k^tto(<6X^AqDb%k=R#QJbe!R#C2|ezwcG^pehkdo**0#{S
zEmbP(ttis}+>$b8;@Gl0lh{K3Rg9ZFpoGv$L-Tk#JuPS!ZC3l!!C?!@y1!Vi$z}rK
zwJqzBrZB&zx0!~zYUxZV^^_uQ0^r+MS3`Hf5|>mJdKH_?QqRE0iX!CY<ry0QRxK|J
z!U+UoUlnY~FCegB+f>S*%aI#<B5m{5in|{eYd^n-sTU^mE&$~yo~FnvA$x@vA@L>e
z#lDK{{?xlAR1|E+I7w!V&GN8t-XB}8cqqXvI*rX$LIMIq;n+T&Ld7j8VeDu-;&x-D
zPnY>CI;~<yIVjcDZI+_vyihNo1EdKdr@DFtIEp+Mjh|(*(FS8Bi=;lN!{?LkM=9m^
z{GFIk;^Wh?5Ae2w;>h$1#2iI)@B)I(HJ1^ooT}iE*r|jvwp2P?N=~QVB}7CG*8(>|
zl6e<nnPzIw*C7eNrnAKR!mJow7~#BAEYtCI?YrURbu=|gkTA<%%};rSz1^bJ_@1m#
z++@9wM=!&Sr=zQD{oR%OV6{}^V*kD)sQ>MpctWO3HM2zfrHV}O6Ga#~k`a+?nJo)a
z`luOansCy!^+N5|dkk*f%Y_zXS!6X@k<#V>RYTz<nG1?Q(0^%dg!BUr@*^`|g;dbF
zMC7V@^p2w3=C?nrprDmKI{6Rlgo56De#3M@A_y2~t$5OZk)*LbZebv@U@`S2v35*F
zqO(I!=W~p?)>(mP>iUbO=e^$>ZHRZg9UbGtv3n({Dm|+Xcwb5(<)Tbd-R138G6uH|
zT{{;qNi1Vp(XdZnIa9`!5cX4I8UxQ1sEa~R$0j|-sq-ve{Q;wUPT$RrHs&E~5kO#2
zgQCqf^Hllv?-O@u!ND~^Uf{+6S>p=-U_fgjBVLXFftAa{&)%BJ$;qSX@WE5+!*aO{
zy1dkNY~}OM8}$Ssr~B_ZTW76CM@M<M2<2t;=CQ+|AR#iaG3kV$u8tZkma7DNk(QeJ
z{&_g!3ugrIrxpO|508Z*aEzZ>HKdzrHQLUFV;`N)1hUCY*Vok4fB<jORiJ~+rk<He
z=C@yK6CyAQasP~hQ`v%bqc%%I=+ZaD*B$J{#)&Gry=a%XbldzuCOonR@GFBJt%iEK
zYB!^0^GHFl47NjCyrjU6PUC?W0}cenjaY-4$M=m`R0HIE<b{1kAJqh9ICIMk2|TlR
zTB|C9EFW>UssoiT6^=vF7P%PANP^eC8n6!$(vITN4HKCzhpvuawr?&x^<)S`a?8rD
zyzkYkJ(Do<7KC4G$BZ@}7UnMt?0^G+b0oU8#xTF-yh?nXOFt52W5N25TVtpp27;xV
zpm{6doQgnc8Dq=4^NPN-l~CB2&~aN~>92xB=vT#w0WzBu$E&(PRh)>vM!PlN@L+ZI
z3+f0`^|waULzjBLm!MyzIjc@Si)S^Ccr1O8VR6-NSkJr!(f`H8RR>x7)#PU+2*h9h
zg+VCT=L%qjF)ExBDe!q7b9%(8tdwDlnsK4^dbZn+9WR*OxhC;sJhSW*Sf@Rx(qT+0
zNCd{qmYZhdjCmz~0S^<CBd=oLtW^IeklmKN+vmN^Kiyeo7*Id{E`VEm>lhXl)Nym*
z$=kOihGbM>`#e>wBw{>GSS{@&XkA+0a6@JI=TF0>Mnz{gAE4m7T{V2JnyvIZ-T1dZ
zfnA8zP~Gin1XkGB+U~<XBjs;LgzTB5qjdXK&9sP7c;?)%>%OGQJb(Ti?ELOFCXF0~
zRb&AY#pfrEbv8>>W!Ih>PCP)or0PAQbQG$n9J{(XWo2vSSis1Indjy=t3u1gFyLW<
z{V4X|eiUr{vvevklTzcM$)eDFcNZlY7>*sN;j}=smpK_b>0QOGtic-n#8T%uGwJqB
zBb~Z|V{lyelQ9z-cE&#Brlxsrc}gQ{p{y4TDbQmmwBSQof3RdOk=ls1zUfCck313F
z4-Fwv8pDEkYJB20t@Xt+_$)fAK7{hq;8=ClRMyT?IB@Ua1KyQ8Z9>@8yi1cb194P{
z7-zKrlj3Z71HLy9+htoJi0I?rX?SzS-NC7|8eo@A?{=q^GQRVnA*;^G%bKQsh{5Vq
zW+DaGRJuaKp){2iT_7QuGJ|=~gOqa|IKXYr|MO{i6SZZueO~^pvAxnLFJ!mmiqS|^
zO#{_?Xuae}u#ybyvG=*6<;<kM)|RKS#9}3K%wCie6jV5zqPRJh9;18n>C^f>7NeI}
zsuZT$IMBL@jquLVvQDMtFI{X$TJcDFGJ77`iM2xCme?b~wgm-SgJyd3rjc67ARVUh
zXX&PcEeOWcU3MJQQ_$V3fDvT)z5S(e1&}GEcU4GsjY)qV7`ozCxv7;jp{CB0GE#Xx
zmaPYf8_%vhTAchWDQVMt+=yj7RfJxXj7cRmx&PqUKw87v6)6&0vu&!meRRWQgC5<m
zF$TSP9VkiZe!UEBW3*B!dlh|nqKfHn=s{Y!9F{T;dz1LA+Pl4RyHKk{ld(n{31y;>
zcvPdB9JZbGoFDTp!;G@bVbY3>R^|?|Nmyk%Zo{mm&wF941$FF|t)?KtloZT*5%3B4
zVdb;z!gvxHMGMo@2}33X#-*xnpZeWu^$*EZEYE>X5ZfkV=Tp=^bE9RhB=$t$S9NT*
zJ>=0F-wst1Blp@nH~`5!uj~N=E;K5TPMqFT)%wLUH9ucmW)*j~;F;BwQ_9c|$Hz32
z5-T6!5g})%5?Ns#aMST)au5}G>h25}UGM-}PI^nt7<@W)t13NWfY;_3@D5%?<|!W+
z*9IyrO(jv!O#rqsW0Dn4|IW^3fqF_czd8*&f$@+@JO_A1uY$9(G%a)3Fo$6BcU>%|
zTCp^9b(Ck{y_0HnWfbY5Cel)dJ=>z?dag0gPM{{IvEkVI1~~_<&(KNFi*wc^jf9on
zHjC}OH7(;>wdM^C4ShG)GQH;x>Rb5axdeaKARjtj92-%j(WwJwNr{=r$Acp{IM_qo
z22u3vZ$DIcb#0Ao6yIGLNY+f`ii=_>IRs!zOTWrDGxRnzG<0@8$Jr^D>V>OacvKf-
ziaPgS|I2wKTiDB~OzNF9)V56^%)c!C9!cbJ_Cx>8K7e>kwKQ}rLRbENTHSwPVTXG0
zmhREtIlHo$Jw>bunMfG^ovovI(x{}a4n*!j##MRqS=MIkBzH^<on6RcJu!Z8R=bFZ
za>+6{kga*q`TC&*b0#aFqQMcd-k~NoO6rp1)WS%}mt?=^1c?fUT5&7+m0HjU`(2kt
z?!O?g365S7W15Lh{G+x@*~{+f<@F_aWXrKs?RQKyOcDxI5js18#HqXRDsyeEok_#i
zK`R?V5&1B60#hgjG|mZ#7kpWX)-Y{iKA1VHmr^AA`YStf|Bq($kT}Co+~RVN>Znpi
zqNBC-ubG>lxDrEKj#Xa1wYSimRlKj6N|;}HSkX`j^0n9`gB^O=^>1~-TCrF8&k7ht
zMny)xMC)CgsXq8<>tL`kg)1XPuSTF)sG=O+tjjuY5lO~!$Wxg<<||Yul4w0FJJ{pS
zJ?%A;%<?So(;+__4jme+8m(}*&rm6QwnFijh-B<ZfEU&+Fbj!Lj7vt0a~W|g$hg<>
zHthUm*Gj8jbQM#8zNka<sCehMcWq8ms$#h80+a!<!(SKheUE3j=IC29n*-oLBLDH;
zUf7f4($Z3(?k6+;HP!Cq4c3QX?YhCsCfDf5NF0=4?L&3dLi1blLCfqiMksX{%U{XK
zh?<Vmqd<T4ENZfQX=v%OSA#;%s^BWU3722_Pcqj8mw7!+P5vvF6lvN7K<ypzF=<ve
zE4YS+5JfMS`FbEkEK^kd5hq~y&kNpbeZ|YGAx8^Ja&G=2{4SXXiGHaEIogCYxgs$k
z1Nx)U5?i@b0pmj@hG&u!UU4={%0Z?7fF3+Nyy1|atyQvL3F=swa>m^haSbDFK#9E!
z;h0E*Qd{PBUo+hkyH(TBE7-VoLa0{5w2Ah@aN?qZ%3SL+NjBYXrjBlc2+8bA?Xlqw
zhrm#V*$9muS!yg)RMc53b+$u74r095cylt+5g&QDnl9g900GMz-z5S^;)Lk}!p-us
zeGXN}q{|pP;Eq<f>7r8XU$pj^RL^NQMsN_ZYhSEGXSo%b{O4Una>mC;PT>pN?>w0b
zJtGTZEAaN~vRP1sP}|!zpTB@WeiVv7f+io{C?|e=yx_*q0>~#^e72BIa&sy4=63`P
zaEv&#<15(}pd)j}2hnusz3gb>>gtNzw@ZzO!2g$XT1{P<MskUgrYIe4YfNLbsH`*#
zjEi*Q>#xMCdvRJRVi-psNjYv-qWFbFnSky5&zuzx<$m;c1KR!77{|sW8JhGAf(ByR
z2b*GU<HY&QMtr=OS9<EkTBGtZ8Y&4SxkyG|(fU)X_88XOUP?{Za~+ty#vDHj!aycH
znT<!?Wu8fO)_XUMZHA$%ZeWmuVHD>|%AmlWf<r4lM2(3H0-M{ZT#Uz^(f`kiYEQY`
zK^dkAjDy7}Qbs@_y22~ALT)swG`Z}Owmf>abOx3z1wa%SJ1V&_FR-)ha@Yq?i;9bq
z9}%4zB`u@TtJ{(_W!*>1Vo^T%`Bsirl^!P#q7SOlmoZ7kUyc(12})6nuj+o5=cLHJ
z6VCYbgMD)4if%6iPU~Nr#~sKN5)}j)X&zdA=PWkAv=INYe)<<wA2QG;dnr#wLOLjk
z{qU(M-i`SBIY!n190q_usWQNFkt5|vp<j8w(hddl1<@CLT*N2gcr@ig5p**yBKx;7
z_k;-D_jfhdGt~z6Q(B`uEl4zk%*?30qaBOf@@DDI-V0|InjMzuB$QGmVYtYDV1t<2
z&Pnt)S=}0YC17Z6Qk<zIRODJ59EStfExIl!59F^Sq}@0q73k%p(klrkRYu{nn~Vpd
z>o`$Fi1vPj&*nHI4Lwl-k$L6OWtF=yY0Q9u${l#SA7B5CbWu^+{-498;^%-9^qU0y
zMOX<t>AS?5dw}FLIBNQGrd8neN1Q1Ru;knw{dTETstippD+3|yf;Cp0Ze_+Rq$ia9
zVY<1y!r!KiA_dqcK4H~2U5zt-q*51GjY?-vplFEvxqq(8)hNQr`Fra4-8A<!w~&}6
zGE4uRsTWf&19c&GSc)$Ncp?6Se=lTKY`F+9W1%dC{LZyYKtXP*HDtnxviR=Bh+^?H
z*nKv+3a(i2o(F$T+%=v@<&$KfYyiA4vWEUamr3p27#+S?^KxvYG^HaWp|ZY-7D{`-
zYtyhIMO~~o96?mQJbiteFtK)h^nf2T^Wj2atE;P2S*N{)BKc<1`dGd5V#afIT5Dt3
z+1V++xc}#^AQ+fwfMS1}0gsfBFbyYfVXsXob0X~rwQwnLtnJM06cquAiWdPgd<)hZ
zcd2wqqWMY6K<=}hy0HXjaM(fxBThj-!kSVh?00+wJ572iYfsR6QX!~BqBDq;N1C*1
z5FSrZNiQOd=+huU291B9T!K>1`O|sisJAR~K|$lh%iPZ$S@7`i$);KBH{it}J6Mn4
zp#OA{<>L46nr>Hul<S#v8>il{6rtm<AH3^lbaiF;?1ic>#ZqO<k9g~foF-9b1vKna
zBjYA;eqtc2h!t_t^6X*9kxN1|IVfN-0%Ib4C{9TEPJ7I^@o|vDE;I#b$iaaQPhi)N
zAD>LMB;-F_`MU84jMQG=+;D_}VEP9xDx5Iz;ZdSDf(!=<xa7|y5@vJ4!Aen)p@2Fo
z%)0<}7qYQmV`a9hj&h`}txez0@s}zQV?>VdRmzycTs&Rfvr`<<(}kU3>B6}xyRxM0
zNzgaYOedpFSp{fW*)?4LEaI8ezhFE`CK#7arOf=)AJ!n&fN3?|-F(mrrk*M05%IBZ
zoZf4$B7Xk&^}&ZR5La|91V1_;yv<ktE_ynk<l7ITR{)@BN$-<peJ0i(9~}+m`hwc3
zI<Yv3Cq92OWmPsU@M}0Z$!+7*npY@QhJ}^25uFT~8vWaH=EhR(R;;?&RU&ho70@9>
z;Yrk0#;GcKK2M&9&4Of5slk*KuCZ7*TlV1U;u*Clmce|KRh$L5xf}x8oQruJ9;a*$
z?{Uh$e=bN&NJtnpOTf(uW9k^|QK~g7QQy(bcQ^&1$k>sI9R;*q|6SUz+04QvfgO&e
zRkPu)G>(K6+oi@RSp3i?wQ}*agSkP;2c32Op{>@Lw6WV%#zirgLNV95Mq{a!R5mTf
zBtd1wFIQI{j0%yOqid2NA~JFE8?+#0RbZyZqC)`?2;@D9=;OIUJh!~8TerZy;})a&
ze8b(Ii8|xV7?tY_I@9nKfISgWvr#F)u}csVo~M~SD-w9nsv?uYW}w4r^jpc4lChT{
z!ff&#aA}2K0bqQ8GjaPHWudTH0d$sAJy^O=PT{&HTCE{hZzcF31v%i;^d5okcc!@@
zs=R`A2I`E_?P0mUU}QcY{euvq-pGJ%w13zZrWmw53n2SMTRV-5E>U5&(qo(ctLF&i
zUiyV9T08?wVL^s~eQac_7GpqRPyiqd!D6DyI1DtHl|=1iOma9_!G_Jv%^+8v|I01J
zFfuxNu~DzmmMLZA!n1lrvqGTMJ{UpSP#7-)#IRWwU4Gm=Z_LYgnv5gSB<c$zHR@hp
z2m!#;{~ft^3h?V&cW&-CH%*GCbJv4nXX3P_=yTtHv_f~oTNLfBWmXxLEb)rxqEyAy
z8m+{q+aKC2eRcv=toiM`GOl^(($t<L1%Ff{%55cg1wyumOHERkwM-g{Jan+DcvK2t
ze|K(P;nL-)ufH71>}f8t1TCJuy}dxN+N#0T3n~L}S;{zm5ADAeHP<IW=+EgBD|FBv
z*Avg<3G=x_0((U$G$+zwO=Fo*YI^0VEFy&}v9I<eo=?*&Vr#ehf;{?7H5jY{4O2jj
zN935=98U~Ebi#sr@vw2n19XF>`SBKBQ8o6O5(Iz!xT%V&$RlPWGv8#pVnq-ltF2?f
z^sJuEGbDDC{{@ps!Vi5(Hx`;1tzGHD=96+Oi<da-ZD(WC+$<@;t8P(k^U<5fm2e2c
zQ<*V+5E3qRSK&Z|e>4(Zi2jcoa;~YbuMfcC?{3>P-K)}OdOTyi_;<!NW=RdL`FhNh
z4{buz3BT=_%x+gv&sno*c+4q3t2c9+b(%Z406B201`zRKAe?Sf<XW&;nhKhZq#0Pm
z7FkAesH@9QzvTGZp-?nw!5=-nv?R2p@7`SR_O)b5W<tb}hkg52lj&8NT1>N?OOWSG
z4C)Yn0z)4$2Qf-Q1lN~{(wT{giM<YZfcP7RM7RF=ys9ZUsfR`4VqAOKBS-6mXvYjj
zylv{=I=!gWC|7o%tez_(DhQ5hdoA*VY?E4CdA6YQ({q`1=}zv=!+AA{c^ArIB^qos
zcu|Go>PZXc(FxYV%(OHuU0oa}Y!<`Rtaynmlh5BdQOekyx-&7=5Kh_Id1#+VkCJ~#
zH&duH3&*|?%LQE}E4FM?WAKIM*4tXb<oy}Bi<l_5{k__wnA%fJ>4r=c?XfuTYJ}oN
zNY0<{%S)=2&jK7=k#9*C2qOcrNx?fca*yh{nr6kwh9?cXI?+ncdk1&U%&+91f#u!s
z-=y%(yATd3*mUC(Dj53N2PIJFrIs9QCe`N_ynemxp^&R2BP(MRNnJyZ_Pe$2JAd=%
ziB4{Rwv>^GhzKjonB2EV-wI1wB}n5kMRw@Yls3AJWacu2F=K5{{kaw#@q`kotgsh4
zj=A~~5fPb37_GENE_DVJKWHVFm4OqzbZipt;k_U;@g^gVXMy|&q2Xv@86OUsnI3ke
zfN8x?`s%YbON}HNiDt#q%nG-zQjfdVW})`!#ttxJyomp80%?Y{#E#?8aI^46#u)im
z=G151lUg>=LM0i7FoL*5PVz#MGO^lv(wRphUs**SK0YZYY#rmMK!x}?f_SdTLAo*1
zw*`(^a^b1gvtqNRo-!^ilm~~k;&^*F7nxlBwF}m?34n#5>cDaAdG7?b4bT}p?e7+K
zGf-gNceXxiSGebW5E#;28s{!ZLkpl!y4&MKGq$z{H86AW(&J~aLGDqI9+RW3@q7t(
zL&(Q}yMa%BdNBY&6$k69Z*lp;3#%dvCqjN<*0i3tKXb*t4vv+T5ykY)MB4{rh(Ud3
zz$t^)Td?oIAU<R?qd`wjsc5fPPcmzzEG)_sET+Jj7)f0!x2ww>zh^qmC12-d`RG0+
zn@T)X%pVvMXy+LYHnNIHZ!&U(YQ;CxwtKU`+et$-6&V-W=vyT)PLo5NUU?i*_Wwqd
z1}m%x=Q&Mfu<e_&0Tw;}0XI(h*0OV4l$W*%RvAU5WdNEDF?`Da-%Y8!S8}|#{t>tm
z;lhp0t+C9sR?pKIKHO=!byMd^i$W*ey}M_K`hqcrOnyU?&V|{~dI_$|(5!^@W~2na
z?H`#!Nz9Pf<5D*Co`6O99MXve&L^LdoijCp>Y7AqY2CDG$vn|rxM^WCdn^*$IFmB8
z^;37=40+mw5JL=Qom~o!rN%FC-j~6{)R<Rt$NCZp`ilHJP8**D^tW3487ARyWyn+-
zc|E{MmSb_$y1{?px#IAWwJo0GcbkW_>LN(tIH2P%2Qt`2o9v#Xj#p|j|M}gn{CG62
z=01D0TVSRD-g`e1{In3a`P;dAp)pa*r@>V6qJrMOJV9Zb$gRX8o28X}v303-0^I(T
zXn`0?d#Ms4Cudsl3E8I;Nyex#O#=yI>dRK$U^!&5Wt<*Cr?Kwx$Hp4kkFB10%$Isq
z2MY4?pxy=GPqu1Bvz74<v;qA1`X%L@gI8S8+O6?mJSK*vUUuPkb^v07RJ?u!65g+X
zqEAq8BNfBhrv>D&b1&y^187B}bW@f{%;J-G%&Hm0b%Ml(HA+|z8rQyX#l1DDTR8GC
zs!1&?i<$tteLj<r$>}TM0wb*psb~1)iymJN>;%V7!R-<T$w;o;YnBlmC5eU_yFV@c
z?gj=1z^*tqf(n2iT_5eu_^2pz&F(l++ub#}By`y4*7pdFb;RXk+}VQUMnY)}%!KVU
zWy0#69!HY#-@3vCS)Zp>2O8yNS{c-mAFaM{;<4*tV7ta7%LIpT+<lR)0NL%_+}uJs
z!^n$2f5s5-6_WqFAgl~p=d0-0S<==n^-y^$gVS<&R$#U$7u2XDHxf?D-I6vjnp#e?
z6XCT3gVBfoEG{bQNn0T-R7HP2k~KbzbtTVYT^Q&g?@2=A`qkY<Z&VSpFR)fdG}5D^
zsA0(lt>Dobs{bpZiSl>y9imBjDeQi-t1N*uxni5K4bEtgeFJXh=2_JNXTRLET=BGQ
zLciPAnaB7Up2ZGu3;GMF^(U|KEhe_rDGCyn`?EMvwZ5^K^$G}C$7apC(Abtk4-@wf
z*^XE^L59l*M9Kr(ANwV~S8Q*sLq?OD<pYq5TIGInzO=t2`+=WQPa!TS$(+QVgaXLz
za(bJdgAts={x^c6fWN?Q?UkS)5J?4y_l__SOvehdu%nFI?ReD!AOd&cS7Z^OvOzKt
zBOscs{D@znGP!EjN`v3LJU#C`wTQ6rD-~tJQ;$m3_*(5s8HQ5+IF7dPYU~yP&>$v=
zDjxr}B~};1f!1chISEbn51nxt6*r{{&X%c%8+eQNcmDth;_y6r5fKr#Q)&>PrOC-K
z_^j<@vgu`j%9`I-=4ZT$2YX4f9W?5lYMJ&brSxRk{XuL3R8xhrP?Us#xSkePctyve
zePkYIx!(FIlw)om79x@pET+fMnHV=Y4*2kzB*t>{7lo5TpjLx`N>9(H+ckKoM6RAM
zF_J4D8c%>p$V}a5k-!p0fVrc~8O+gNpozr%?nIN>HLqb8JO=U@Q9?39=r{4ce}F*n
zQyyypy8dkL8+^+C0WByiGt~n2<ym^S7^RhRB+MDFOgBibv@Wr_pI}G6R(uHG$7!z4
z<3R!h89OH$kDom2pUZ4dWK;vTc=<=s`e7rxq^?grAh1@X#!4@m4bJ5h)hH@Cm+cQz
z4!F^sB_VYi%q+SmqR|%n@aLDxGd4mJk_P63<uy$3xC;DKc<^!UiI_*i2R26YI1l?l
zYK4l>CPjr6!Ifu%M;>hK%rh{dy&VP&uQpJvWW301*p!rUZ72xqRCst)<B;iE+MAmA
zQbtVcv<iSq8N@%~-{jbPhJ=Ltabsm5^JyitvYef5L87h>^%PQbe~{2=v<{=~Dpo1|
z2Mtvrh#I^4ssB#LH!m|O8&lU)#wmZutI5rE7Hps6LjbRN@UQO4e>(qP3bNi5sQX}H
z;?k7>ys5|%XwtHgAcBY$q!wFrZ40NPBzs+&Fye|1LJX-BhICnr53aRWfF}*95PCFL
z5QU5)OPwZL7rmwh>kuCwATQb2zK{0DLhDOPM=gjc|0{a&=Q06j3&97yM{NB&b8Ij$
z!H?H_l7AIMkGG#+Jo;k)F3o5EX8Q5I0{-8BdAyy2d)zJmu7iJ-G>^CbE|5oW^zrHv
z{O9~U-v0mbSpU{JT=y+db2%9?K<0P5a_oD#r~wkV;2P_C?9JC?Zk%g?@C&6TI#wQ>
zpj<ps6<r@x8ysl=`=ze5ay7<1XV1zHaQ3eMVE)H%gJC57iwy+H6@^a`FhPQ8d`I!L
z1Tf4z0FvqZ50tHdq6&1`p|?d|1UCE`wevlDZ0io&r6Ri;eC+0KsCv;B+3}~L+UJ)s
z8CBk6V<z94_nG#)XZn(tt6s+sH+~N>uve#Hip$Q^@*ng_+zD3z#bD0;d2!fow9rxW
z&k*9dR>2d_)`O}q_n;p*4)zK#2(%yC*y$YXca7}Uf&SqYw>5dF+nUd1!@T~|3NW3+
z0<A2Dfn6{EV%OT-l$BQruH=K%Kt4Y3|CbtV%)h9dpiE6qW4D9yK#PN@${Qr$?dDeU
zHR`hBw*&VXe2*n#RFcip({o~uSO=sG_0RwO$pgP|#D680>)#j>g)*M^Z`A(p3(@Jv
zc<l&V=Pjzi-zS)Qt_!9g^zhw1^gOnbly!g(*w%kv`drL{FCF@D|9#oMCvO+Nc<oZ{
zwW2-$R9}By-^+&kIjP?~@#@9A!P@-16tvo7^ut^$>&b7=o29i5(-Az%>-M#q_J%6d
zu92r&yI>DKUUP70x&IH_=P%bKXs2FrU9ze6Is5=}OY+m8Dgs~6c{23%?a#EdG;EUJ
z34qtN($43DqGF7x7Qhbf*B<WHfbgr6mN`Gy&7Z>?KtOaA!q=8tTns>BUDiu*|8vCP
zz7}I08v3bnzBFGd#&?U!;HnF>Wv0)!^|Pb(e+L?DKEK7mAj2;@1a`0e-u`&JI||>~
z4hMr#XO@;%wU*uR_HUdX9jGy0d^e7%WcIsUapUTT(PxZCM@2D&i$MY11z=8Jen+aX
zlA!o%!A7_L`&47c^?o^MMHmK8KA0bPeSd2DAg%8*t4_xd)3{175lxJKpUj8sEoH~}
z_wYG+Ar#`b{R+@jJg&U)S2q<K{3<d74y4{E-8D5FlteFIo(tPq{xo>Fo}YXma$9zg
z!az_N9vT{oVCzVQRed>XZD@hx=K&-KK%DF!MGBztmr~XN0LMM(P#2&1bnN$VlaeH*
zQ~kkh#brKY?RI;~uJdkb?fy^btMlB1hg~ThJ2Z=d=g58|83-Nue7LuN5Mz;kjJK|Q
zag!Q<0!TF`3zybTqunqjqxe>voi|X~+A!|MfB)Tx$yu`MvDDPm1ck>;O>4e4hfotO
zjdPZ%;Ko(<Jkqv=+yDJ+biWZ|f{uK+&UVAP?w5b-e&t25a-s#o77tzBjO!L|?=L$Q
zp-rov2U9&@Ozpfkh{JXt-?XKYHZugItAI|h;|=)lZ=ul}a*B#>d|*GI*I)GeyCQfa
z&hdCl!TWmkngxQ6Y_IFRV!ioU?nCe&_HDiQON&8SN?F-EU5CEf-;Y#QVY~R9fBOU~
zX)>QrRxnb^P-Cq`SsaYQ+q83hB7w{K_#Am{GUM6*JnmQQ|0?dv-<rO&HC9@jsvtU}
z77942)he>MuoQu~q-A80x)CKTUMqqN`w|u*)J|nn7-}W5w<s`x1W*u?uqkeoi-?GV
zKoSKCN=cBghAi`b(tGE*_Yb(w&BG7jc_8_IwsYQdKJR(YL8xG98Agh7CFeKl4q%9I
z*#iw`^%EcHBE9pK&Jy;ks&BP)?NoB<Nad}d2t2xQT><H%01gaa*S{g^=W?r$sy`EL
zul(!lozX2Vfq^~M&uci%JYq8jLfT9QSmJ)Jlp&P8SZ>u{S?$dA*ihhMT01#$&eDl?
z)p6K|vmwWav~GZ!?I#o&Gzsp6?R*t2-9?toq1pHN;9cg_!;3;eW$Q0m%0l>iupt53
zvx;;(Z(~OhoA}^F@afF`#d~QyPKB*)wCP&S-77RlZZrn1Mnbj;_G~Q7#%ds}izvqx
z@}IuQ)_N8F?XI04*e}*!hAm+$pSkFwy-4mf&4K0)E^rSWI+QwSJJa(m8`h*2Vok=J
zx)Y}<%e!_YJ(kvAP2h8!kYg>~{Po_OIyLU&CV^3HXcI&>F$?ly?swMw&v{7~?Tp^u
zjCmQFxErer^D}nJ*OwhI-|8B-&Dy%|7LrWFGC&{Ps8QBkVIMgmvYYJ>?enkwijS%p
z1Ec@E?OeTev&Px6!>@Rqe)Yp9f%B044WA!ovu63ink{F0_u(wwD^YpoYyNv&A7Nbj
z7+3qB7Rght<>c5#PmMk^0U*9ne>&@>CvyOXT`_dUHNq+noJiUZ3yWc%_?Cy>0$Pt3
zNWt7W=cf1Mamt<W+r9N--dLPcnlE`(Ge*Q^p54FW={FYsI!wi(<0#<F$9FV8jF*hM
zEL9(X6|yy3?d(igFGoj5TXm8yj)5aFaO><#(-!j!>*gS+-*|HZEhrsntO+evP{!Eu
zV#$#Iz?m8)gwRK;9vSKz8L^<}|LpBl>BilRilx32%!ZZ!9+(CO_9a=c4;RUgxs|&$
zNpmGDIys(vo<1nR@KR2+e3g8Jy;@KkC~VQ8I@7EKk%Q!<89oZ;G%007N9V#)QzFSl
zcR8cCn-ORTr?hB%$=tG=%(+y-&_tiUrNN(khlp`g>tsL~4mZn5cXnjA6ZM2OUXgz#
zL}D(NTR6;`F7rmMHu0xRF6?rQ8h!eUlPUM_iJXR+R~B`PtbI}k>*0AQ1t62a*sn2x
zl{B|kzE4}#d4%p6UhskXyX#)R4vbpd!kqf;JE1^BS98J_6JYqxUNh;ziIT&~TURT#
z=XX$Lqt}gfxLBO)+qfQLBo9*#dPDszwwGl!;V6XzDeHU6?I!!SO&b&Ejni?i*2lkZ
z1Bi-zhL}5&=QG@?_6LLT2OIv|A5dToziIGlk~A&^@ZJ_JHLY8B)v=@$J(AQr`rV;?
zcMlKS&I43gXBx4{=Pb{zeF#pSgZ*T>dwGOu*>YdecUp$l^X3^2hEXSn4`6egL6T?V
z>9LMjaj3BlrkGgZkN(R7>%amhnr|9zRSg1nlUKY&!up6m-fH|mAkI`ShTbFD<^pas
ziLtHvgIbE=w1_C~`UKXSRr$v+frXZP`{Rmox=11JtCc7hB&w$g_F)hHLO+`E7mGLW
zkK7m2BnNYQujkmu0C&dhF`imWgV;{BI1iIG%fym*6Scw1X=xSV-N(6SYN7>EBjw>H
z7`@0xP5jB=1H75>f8Rz~xd%B(Y#M?&F~QgJ@{}+dA#V%WKz9v9c;N*vtCEL;k6s`4
zhr1`fH<BMOAHzdv_^!HgkQ1)HXnNhaAm$HeFcL>0OUH%tW{)qwAi@EcKX$Nxv(U&H
z)1k^IuF}1@)$x)AlBDzRv-b`6+FMb*Fl{R#Cew%Q39hO$&0GFvjSwnAx}B?BZG-U`
zobYk-+*_JI#r2H!=cT0rz#MPoB%7GYCV5+vhuf~MYP4DTIO$Z!cl1|^cRb}2X5;o`
z0kG8Zy?e+tO7Uv~mKlP{)fDvcDK?CodtJzPb9pxdW&D3^UEQ9kBFMKG8Y9T;XZVcw
zR1Ffne4NMRs5~Yt8Nq*G%Rr?#wA})bO2_qZg84EDU(yIz%K=Bl{L*=QR=dT^^RJhB
zPsFm0wHDH;L89gb$S9?!>$aGG{KGxIV44Hnq%+-8>ip1^+WwHXo}O#|ed;L9JNj)Q
zYnsjq-#n{-?C8-t#Y`V_{1w<>&RzW|8EUr@%I~joy}2dolm&vmco#=3z~43%UW$I1
zM5g@9eO1J09H=54Ae?Ghkn7r5u;-V`ut8w8MHJq|y`@G#LsxUVfe8<&cMS0n8RKtq
z;Lg3hqozM|NcBKFk+Qh!4Zm4bY+9XC=B03;$_{MH^l%fHUrI2H_UoM|2x<F6H#^mX
zHQw@qS>wX<L+K7Mp})3#@-4wGx9<6V({gC4LM5x{+?N;mCTaUla`@_>{Y;W{`#Z1!
zKKY?eHOo>llM{&7gzhC*bYZDF6bT6l>BzGq%_@@o@P>3DP`!arG-QS5h{KMV74J>Z
zwwq{P3~|IgiHyL88gTyXTp=^@Th`eKi6FQ2q`l&;tLitarcLZNAX@%l>dq5YJ%edf
zC48>alB&sf<kX2oBE_t*iKSA;F3bSVfjP(L#I%{zZW*u5&&q<9u>JZ%xdQN5%jkU2
zsZ&MWXAG=^M40CJQ3t9GuF4CTGRT~JuoTl^h+b*!$7dvH8=$;Zh>)p3q#})ea+w0|
zyM@r?Ki12?JbxWIuMalOG&^m&9z2LJhQWKk-fn^x1|N$~yM=rK!H4OkrI)J6Bsejl
zt3*vnmHkR@ycM=kUMp~<&7Y4`DHUy{Q(gJWpF;Q3h+w~)m*Ph!Qz+{=wGlUQIU*MR
zdOV;W=llBRBb%>YX<EFIC&VsIO<dM8H(kMM2#aa(N_*G}hDKdo<U<SF@X_xOYV<@t
zCFzc06FmyL#=9#1L0Um%_?Qe#A_`<DURW22ctwf1je5%=NF^-nr^LAVHtz_l7iVfl
zbz8=3;UpGjd`6lke>Da$u3gnhB%f~9%c#mhDl%Y&479>ht~Z2J!ioq6)@m+7JX&*e
zVv`ME!)%i(mcpBU!N9h!38Pce=P-IF8n|w-g497h?DytV7fDurKVyfpf)@IK?zrKK
z8j@ZH-0e*H!dOrm14$V^BTm+pA7Nuai5_DJdGC%CILSe@c8{9A8v471OCLd+pj?Mr
zp>Ox+wC8?1l%(6i<MhwWqP^RQTRZ4T;k|#TPZ!5_Wea|48!piQ@_&DQx!Y$2=PYBA
zhoPlR|9W8{CjvMB#yUweHmO|$lX7W?gBcQlPu!$dEU6W(y0Wrz@?Gbs%m-;HQY|UY
zXfx&iUX&d`DL`L^G62n;O!0Zuf{>+B%vRWrlxiE;{JEhHN0u)3x%5>Z|G|@=FX9wc
zW|o}wgh@N<i;Y%tm{I^?$3wQXBd#;yp+7bpNQk)MUjDV&{ygV^;okjm(}nDH>d$9;
zMZYEbZHu+Eoz*W`OnFLaDbfpksx-6XCeP1<e!Vl%i?&xtPyVQtnUZ^KIkB8we^}1q
zo!^`v{^uO~h}Gu2YuBs~{9XR6q%<19kwlvSa;jdmMZ<oax~pZBlbfr+;hrTn+?A@B
z+E?_5$wc>P&{b~jLMH)taxW^XRwpNN@?yl?jnVHDSaS&@le~fZ;l{q)rcWb&?+KQ+
zTM^~CoUE+ml~0V2=sgQz_<h<*D<!&}+dFJ;hgAGDY1K5}{_F%kPNVokk}}G<NCFcb
z`?+<x*g#{K5&v-Orz~E2TtBU+8%y+f*)Na$d3dHT5LF(uDfD;By)i`Wk;}B|MQvkE
zh$IbG6L<0y_sk0Lx->+G)t8BfR%+hGQI5hhtxD&N;oZoWoL#2u6pj)(k#W+TsnqAw
zN5?WL;^!{V<@t}gkcE5q_LOx~3g8faY=OGl^>7h!%~3FFPE2foz5xE^#B-?W=pe??
z+EbloY{Nf)onE@4z^$zP$rE_Drt`o%MMXu4kIgTkvz!y%D{7cq(PO~ue~->#k+1_K
z*ia{OpqQ_k5wEz>`GtmPZdri){Y*`^rdDd^bDL{^x2<WFxvRhbV#5!cHgtZz)z91{
z`S<}{=UeMetflz5uf3+}leMKFXt%X?npA8X(f_^B%uX;HD`}9K2^W5JEJO_;>?@CF
zV{b1Q81Qs=&&tkT=$A1VjF^}h)XgJC0%ae)?%uzz@-Q_sGiz#Ww6wHLO-+rfzbBJL
zqc37~wBFjaM?F1JMII0kfJ#U(|0gH6txUREUan9I7gUD}4@N~sM(Wecx@+$O0`)0o
zP<@D>l}R?^+8WQZ<F!N$h}QG%em%Jjt<sRzR!!Op?+?B|ShB;?G9n_v4eXu=Z_*_9
zPgFJaLW-#9n=e3tWJ*y>20|&s2?sl_v<`tzucj{`@Dftb`1v7G1ePN!v_7r9qXSh%
zP1!l<bY$s;;;CcDN`#9v;(044G~|bO==q;Mo%Co>T}&Bx^5hWvLq?#1fdS~)SY2qI
zjf{*Cp)xZwe}DhhlOaJt=Ik~=cUQB<%F3r84#Tqr2M1%qSS;c5=g)h4QMrtN#<a%y
zrk}H9lpOwJ%Fww&Dh<WofkK&?`BoxPP4#MM==GbDG^>hAts)s@jU|9V8cX8i$(6|e
c{V&b*;8dPCn{l=g->R|itNk?2p5qt(1uW0{mjD0&
diff --git a/public/latent-spaces_files/figure-html/umap-1.png b/public/latent-spaces_files/figure-html/umap-1.png
index 49f066eef071d6623ed20d4052a0fc802b700720..96404982cbfa60177ec570d4ddff1b41df5a1a70 100644
GIT binary patch
literal 102501
zcmdRVbySq$_vfHUhzdxllpsoXw;(McF(5S}N_WRl3QB`?hja}{3_XODbPqXzGz<eG
z3?2L8cYkO9+OvE1?Addcb2z-tygu)J?{n|xer`OWZ`2j<-+giy1OnYxR+7^Kf$qEn
zfo``E+yXv<;>tw<e+V6w^j$z8+TfdCoanWEGZ5%0NLfxs$1{Bgr5y2bMt^gE@1949
zC?B75QCa22u7#~M^#?*qO3H`BZ%wU`N@X1POgo<P+J1Za`9Aw=C8ajXis=C1L|Y~z
z4)jd-<@|1W`F44+%`b-a`UBAo&Z;KfOq7nEyUw+LxRzOG<N)_>g4SuYcrnRmKpYS#
z;8@5PdHX+?SrGyFH&-UNN&fu%#1?dm?&c!k{>!$1_x!*i@cj3U5D16(=AsSn=@QP(
z#WV<4;^r@iI^e$+nXaZ=LX?)H=jt57l?uma=H|rFPXF%Nv)TD{9aC=HbTpx@A&H&P
z&br*O81|;T`LgYt_J6(f{}uWEzg*;pg(L_h@pZcq0@GC+w}ctObem98=ukj&KlXvm
z@k~y4sk29kNl6_oEcWjj?Ys-kVNs4f*ckR`LRDuz0Pdp(wmBf!yurv1WAlzZZ2mQm
z+PM25r~j+ayDxOWZd+sd?Iw;$e!yx?v`PPf{y6$zOW$RvzECN?>a7fVsuHS1>oDh>
z5;<<uQ^ArimJtQNSiS>noOt_U4Cv3$q?@m^Ghc@KJ17QD@^fjm2%cP54L?#N0lSO!
zHJlFFZ+OD#p1T=qyof`g0Fj>Dh!hHll%)>_hj*EZWvCZwH@L0vsLL1s9u0)ydo&&B
zlk9g3IF(VU*}!#F%;&@}@tK9!u<a)Q%yKD%VF_o+f+uaT<s7v)wBfR0L?8p*TbT%#
zQ_J{>J~E|?uL3`==*vN|iqX>N@n?D2g+UC{ty9;_7H@1<hypM;>4Ys;@5?hRJ~5rh
zhJhEQuv;S}{Gr2+Z8LTJ_F$o=expdqN~gRgw1L2Y3g#XQOX|?feMTW?<BQz8agDSv
z;0@?|pjl=!FvGgt1%%;hLlDUn_)Q;m-0?XgF8B9uwF-EMj&dq_3Zy9qRXnDP#B`lD
zRwCtNLPCUcWJ@Q-R*r#{0wU$xZhOuLk*G)O)FIjO7yRZ$h0_LgOA}nw<(iKRse<Z|
zN8Sj()@uY&xDpsF?68oo`T~s=8$MXNM2=p5M1&m}#h1k8*?LgUiMyrmqI@t&B5A!B
z$_p5{ZmEDF{)cUrBbD%wa8puEsU7!Y#oW<cBMRUZJktS>5Q1ougTV=ADP}XKl`Q>Z
zkF>#)Ryly}*w@*>fSpkr7pQ2_vWjD+kjqEsj~cM9aT!-4>1b$nc6Ym-Xk_c5$Gef#
z!rP5U9*Zoqc7{`dak(yakk`8X*{&H(LvN{=do~{Ec3_(4!ozcHJ;HREx$a_&bynTT
z&siSEG>@k^>@g`<)z$UT-2hGV2V9AO`{M$U$5*Znr`B*W35kI!+Xf>_`Iv=P_V$Xp
zZk5mn-^E3X<;|TWqT@`P$GsgL43$YzzK*1*&y{}R40}<vps==@XIuA9LNs*6)8D^!
zd~3edzg0?9s9%26T2X#9Lt_|KkAw^)9IG&~g;$}9<rI$h#Hfcojv5cF7Iue@j+(+#
zgcZb@8QsWX__;ab+A0_fMsmNC%mVQjknu-5;C6fRfI%0IbM!YKcR#YR%iI{>s$mIh
zEPq8{fF4J;^&AvWy+~14kf*e;ad>8tTlCA&tKd~g4dm>oYBIJ1f8QGXHUr+oCo1Z3
z0B0F)9@DSbh{RBwTG!{Nb2p;W%pS{YHbdmmU^6?YlueFENy(AV3l&zvhjOgSRc>VR
zwH$WFYbbjQp|sshB7;S*v(p8ihg4l9!oSV~*_1bO_dTKKujtQ4j%jmlVEaP#Mr2V%
zMaAR2#fpj+4n~=e<(S#oUxJXWr!t>$KQIM7&537Q(GiXe%NfncZC^cENGLSum$yN%
z&1U4Fc*_Y@;01AI;=jaDW9OFe`BaT@2^W=Z5#5CzxAHXaKTCcYHJ^DglO<tsjf+$;
zwhwbs(~V&zTA{e4q|Y6Me15oLv_GU7$WdU_V=d$hO9Qi*HdI$AbL|}L$e5u`P4w3%
zJ;R<EHxP6HK+u9=RCM$ns%Zn_Yc`?7)(^orB&b9jM+!OVGtC&(aLv-LrSrR^Hz7vk
z{iF3!D^pU3qeUgI1e!7U`8CIwwH&ws6PQ(s95ZCiV-)G`s-0HFu`DOL0WUYeludbb
zTkrMjHmSt6e|#v%r>XE5g8<NKB|^6y-|Vw)-yPDJr?XH}r|z&Kw~9I%TRYkXdKAL=
z@Vpv>DnXIP5c{8WP;o;f=D<MY59qm#L%bxJSB?h!Kv3^p%iE8q&ij9NWnwMVn#MC|
zq4_!_&lx;vDH_6avL~#6OzIM8>uGA%Ofs^pMRJZOTBQyx0|?b^_Bi3o-4=gF)XY*j
z(#s(mQL+5iOL|6pLoM%l-i#O<ks)Q@ecixM&g!CtrDIP@sS9f=;@oMwYOOwN<-q?!
z<eIf2BhgH5F>XRy46c;p1(OC36#Fq5EGPZL60Z>e&MdtLP_sFBz`UA7wr*gLeDe3g
z7o;;}u1GvBL@CvxuVKiPF3F5+25S=UAy&N)F-kBb-n}11oIvarTZY#WcaRjz7~L=X
z<=ZNHd|H>`keNAr)O~@v4DXd;LO87Q_41HwqyLJ5)+(b`KCDdm?ftJ_bsP8{Vo`8n
z(;CjODwJrm=h_myG)MIf+oN2j31vQ%xbWfvp~~9jcdP9+%bkecGs9w!CJl*()>i*+
zc5=XOqe*YkwLz5<&1PO-J3RLmoqxE<vM0}4;TCJw>y7X~XoT625*kGBBAlFm$MV-&
z!|V1IkW#p?G?9HFYtAH8mjD|Pspdi{i4Fmy%pGMt_I<x9kC6-wd3HlxuCOR>Bf3Qd
zg@qSc&+O!ux9A*-c$Ud)7oHjI(G*AaoB>U|CvpC1^f%&T#vRUn7-nm?A!qW)z;MbF
z2KP7^jbaI{p`%M*oSAw2AlL$-0ECu5CjdM8r{no)g){*}aT`111X!Y8cfI*_x8R&W
zVR-RU0^j9IE+gjSrFR2@Uqp<2PhR$o3R80PH<Hi1j4EEtDsnob_Jc=5`CjJeM)54%
zd|P8ZWrNz;<4jL?*W;+fACLAZVCpuAZH*`}!E93zTQx*_5NS5cW{7DXr^s&>k}2NW
zZSh=$R2Y$m9;>CZ>@nHxrHgy4^-*lo0y-t80t^=M6WR)?uz|T5E6US_ha5X;;^xnV
zpUz>q{;sbrJr6o^PQ;#j6^e_9N%(e8z-u~tVg~sN)kaj(l}JXn|16U+j-_SR=)Qg~
zBdnGRvjY$HK;tf56sfq63wz9F!?vB#?WpEC?zxQF<h);Y#@zUZrfRXU1NC7;!{^1Z
zCUUbgViO7c3WDmhLiX59|Ep7guSow*0N7|iPnHxK2ehPiaO%@wq^mp&;T)6DX0VLO
z)_L;~Jn3(Ec<8sSlG3Ql7#S+pX~@o~oGGZ;yn8=BWJ;{r4UH`uhs6r8g<q}yLM8|c
zSz_S(-ACrkR*92Nd~*v#26cM<xd%z+D+sZ$jL2;ku30;@wN<K^`br6p+ob-$ibOQB
zl)2^7|9BUrsiNE@SyD<w#YICyBQZOP2MBjebOZ!zje7s<EB~tvf214gCXVcT8^3^&
z<b{49EU8>P?pFy7sjgMl-fs^g0pfC}K6TO;SV`3+#5Q^y+o)n#P@WK!GmceY4wqn|
zjlavNMy^;8FUG=++G5&sow|e_S@Y6I!d)_EdL5l<D85vW-e6dF_-H*JQYXJIMvtv;
zs@6W0r6jhK*{Y{$mwy=2=&Fps#@tYwKaK!;4lPWU>b>*Dg0)vws4=PC3QpRJZu*6o
zBDQc{=D8;gP=`lTAt5aL2Ev*~Jyt1sj1NB#p9N;eI}cHh8>(s?4RPi;A!%LXn9xUV
zj?DN;8OR)_N8{7K>bq?)k)sPX8_N>fj9gJ@5h+O=zw;~V#$t`=$-SY%8K3P)eOo(X
zjR$C!%$+Ra?xScr9jnsm*(fLib+Ezxt|gtRH>F$&kW*p^2uKz?XIQje1;mcioJ%E#
zu{5{SMsjhM4&}eHIY!p^xKhZ$BWmc~lS~@xDct-tk@A(i9ar7leQ%x`H~pT_yE2c_
zk(yGL8yn)#g5oq0N<y}vNt059k$|R=V#3{r@eeiKV$0$7Fv^7|gzfBB%bi0na?c$?
zjvX?sxEUGp`sE$G#~vBJ;2c%?!qal;4Q&u<ag@)8-B{xJPPIkD!yAW|0vM;r>)_yE
z?$!(Ecvx<MljaU1JHv#PO-r>Nd^T{UV-op`lPY{v<dL>p6Rc}~0zBd^Io)^Gv1amG
z*>d@#&_ZY_TgU{)o=m=Ubehd7)>U#g>aRqQNh$zmDu3NPghq#0_Y!a|a>b%hj!?;I
z0JkAl4z7&`EcAXRS_vO*G_{@=TTU8O%<8-Q{8m|@zxVE>ZLL3P*aQU#xa9ja0N>GE
zmVmqE#Iy)q#MX7bVEb@Q-v(|Qn`h~f$|Bn6=;i2~T%ObyJc&e_+RSHU7A=8ED12si
zZ6)jHjE53CFpVgf!S~Q*F=Zo~v?`r;G!vm!zgwewLs5K)kXyPKY%V;-NnMseg#raZ
zQgh&Un80-VW>_9Uy;IJ!Z(@&}^5_;W4E#;Z?y;UY8LH`G!nuaF5fLqQ%A`1S6M9Gi
zSWHjJ&CShWDYMb}wrk5L;ho*Q$FTv9MJhM$60bLHyuhbgp6okO@F8HE(46l>%GXhE
zoQ_|g`p03}_ON!w;&y?!FdZa)`VOt<2U~FAcqj{;X0PO`ErjWKuTdl=y=g?w$w5jI
zLFv1I(eOAvuy=60-nDL?du!OEjHK=~d!K4xg^6SxPppoaGLTDUvXZ6Ilb^wyvCPh)
zFs@=22*#WJZn@cSet;+~oadF#p}Q6`(i%&`)a#<+kk*gE`LNQb%LyM*eyJPEF=m(V
zwJ2sAiZ~P$kKs0d?JGh}F$m77+L8#5UT4iN<&2tGpZw1?8{<X4su!N_VTlWv3(EBn
z?Y77B)&f!)?T=RycFPiDTx3{Rd{b(TXehcvv>tvA@r212v)SRtR88&<y+ALtiA-_#
zV=#7H;sB8gPz=1;?Y|OKqz<Y&<jS>LQaUjAjJ#PvCryBFg_%lDTZe~*H(Ppio|jCL
zjusRnwA9GMwPpnita7SG7Q%ycjnfL$s|EzHt{&28cWN>{jIO_P8Cp!gBB#m~iJRX%
zHroUswkC~nbJY`jul$@6SEM;?*Tj1#;=aLag6@Xq@eGG(ixtTgqaW^$&g5gdd#|pc
z4i0-|Q;dLLFL2-Z^@}jZ{CM2Z5<cLC4A5ps3>C&cqsG?w4$O@}z9~1OG)|zTlus?;
zxRJLHiZMzkXmqM&gS*Js5H7>^XD32c^oT5St0w6(X}aXi5#iyCY_B(rV+9+nVkN{8
zDMky_BGi+b<WpdhUT9#p+YH9NkZi@5LeZ-*>pmX(iihj(=xE@JFxkSn%Qk#&qxx?J
zTly99fOO68fP`mAwPK2B0iRQi96!GqIooh#9pm9WWMBcCYE;*%0Q^zZAJf#c!8PP@
zB=-@uSBQp*3?q0OixZAzO0(mSS~ics1j?CHR<Glq&`D4GV^Xz#UnLX<1_>B80GO<s
zQ1EyC`yLzmelt=g4R-Dj?^Lzxn$$6BS`+8tz3@oWTJX_!ft78%(%b6_Vg*eBx@bVc
zwwXOZJkR(W<(XSp^t?5Eo$3KqOHXb@F0j(i_J0YtO{wj7XJ&!>9v`*a=)sSbW1u$S
z?##8dDu&?LJTLP!g)byE$OZgds@xbBK?!e1*DEaxUTQiNRlaQux}X=|FtAtCXtnR0
z%`P;=Zo9i%zm>kmo^vDeR|EAF5+O6X#Z^~3bt!|gwt+?Ro}Zrww!gGNZMotFeu7{8
z#Ranc-0sEff6AkdROspHS(wJBs@Pd*D9#`w)hwyhB<txPtv#~m5k)S%CeYNcMZTtz
zA3glo=s}VsUk!n8Xpc`o=E^2B9ikDDjpMyroXZBKX6b7xpQBe64nImQNH!m?A`!x4
zwkWyE2awQ#ZXlJdrK)b6gb>$;^@bj)i!(D!z}(5@0qX6uo??;1B8G+oRfvFNaeyQ0
zpZ!vl`kPSUV^&+e0k>by6Hb#eV=zc^s(KQcfyAttdLAwvTK{3g)lPUQ3l*&xb5F>V
zFRk7sPVkt8Qpmn3@prCq^OQzo5y(ElZs7u}ZIQ>S8mUaZjhFaISpsUDvjVf5O9@ES
zWDeBX_4;p|d>wSJ*y1^EzFUjGqo2jbZTgd!G(8rGSYRJPH>`C=C3ZEC{$lAhH=^cS
zM%R)00wz>z8R0afKbN64ggDwxYg&_+`#hy9x7=9eHfg|}Th;8pMacP`Kdm<DV90j1
zPnRty8$61ECxzFue12GAsE*#Jt_!oj{<xQ|GS)0ipn_%Y>FCvjN|i1PJfc49_|dco
zR0T4I+S_F+ro=l0Z>khN^nfUj=N1<$O04-(2J9CG6juz2T@lvY=5xoyb#(J^@aa*k
zOj^~PHbYT&=tJYFx#PW6#MQ^WbYTVP9?bX{4?JsNA5BdysBBtVrDB*9{}&>jRi?Mn
zREK7g6s3wd?udK#Jl5kJy&n~|(x1dFeSL9YQO^cEJAnQMth(d1lDLewvECSW@!^Bs
zkIVhC!6xXE(419hqQs2!UYQ*%(W^<jRxJ12Bd`c~!}Z(@H~-B@xEqDsc1^x9nVuOL
zvsVQ-gA#!z`0*5ZhJ8X_KZe%A&Z0r7(Rj~y1})s7xp#VvU5(SooH4jjzu&_f{cEd4
zD&&q@>P%q)HWY0!K6zBmUqIi(82b^;XE)db^=jp2)YMmhFjQKwHE5xbhnhf4`pjVF
zN>ugw#q9D=8{x@N>cKjXU1PtJYNMJY7ffpN<d8V3ch~Pnt(99WO9^byPRE8;`e42*
zoJtgR!>#wsfbzxhH<qwW&t<~B%ihuojyjL#%7gudEwkSl@L4ZIit)?9E~KZY^J;<?
zqe1cO<Gq#(oniTyI(PJ+%<7mRl1VqC#BqcRcsA8xFF9PVSxAj$;~Za;+|JG}p*#I*
zM5fSXcfP^B$+vdz=7}daHNZVijQe>gb0$wWM^b-r$hZPDX|=&=Xkx9meVj3tTpo!*
z`JOdgnJ(B{GxMd>(eGwuMSD~)v<blPE|<9>b*&5vtw^40evEh=sW1#_u5WG4+VBE{
zRf+}FX7+&!Vn8Gi6+MTy+?$4h?fuB7kHHL@SD*Sorr?&eH49-mOv-&#WoYjVrkPzo
zu?!^|oBX44iI@$q1&pBD3WAFCgQ~C^P`Hd`${pRDZ*W<MA$DQ9rIXefTTKA8fc%7R
z)W!(IdP>km_efiRnzV+$<w)$$cj1a!Q7;_dI~LD~3Q5OnhU?n+8vHdtD+-GN|LxB%
zKr3wX?Ca(*?*5zF$g3#_p|KmKMBl%v0iXdWCj8$iZ2x~*IR2m4>HlB9&UA8s|4O9r
z)js|8ex3h$o%GdyG_!I}{Mp*Ot2O%T*b1LD_SP$OYfE+YxHUWzy4xUqwIU7SN{asY
z_GTABbbL_c?TebLtG(+hjq5`V|Fbpe>(gQXU6(8(h6sh+a3ChM`dxBgEpxa0`NDlu
zzDCW=cpb0b7#C;>^@A6>6x{Lq`c(RQL*r^y<LWf)`t;au@7V9+=i<e>u>Y}#zi`kW
zJ%6ko!1RHP1mTXE4VJ$6eUn8A`yU9?_cq_G1d>ptuExJ|$vU6kkUDM{zxF?$TfEvQ
zx(3#3aM|V0IvoHc+{==3Uh7NX_W4c3-Tdcg>qUR7&n5cZ^_O=iUpzdF{w+jT5;=4G
zdK~bH>$8e$HpZKNNbB*wMW)xfp5L0D+-la<R@RU?-@ls|ihFpLT2BWZDCOV7F7w}=
z<?lha$+Av@LN0pzFM9L`{@Hq)cpY!>$n{}41i{8g#bu-vyLz7KeYRC7znY*2IsMMv
z3{<FqXmog#1oR8Mr_BGO9E*cTcz{cj#sD==dLL_nC!xPw#V)^dUo2C#o*1@b4fnQf
z|4GrzAN`x*P+l`ciKa*TWMWI|w7@F0z-!_IK$`(yl>YN*_mjrBj$BE}S$kn$6*;L5
z3@*JI>AwloAv>fmI_g>_L`6@VTF;w2>{S1)=!X~mzRkhTuGbKM%s*=!UxVsIhW>oI
zN9w3D8gaSi(RyzDpLWzAy8TCVve)x2!=b-0b9EZWb^aALQ{|z*s)wbZc>hBHybFK?
z#4stR7MvdYUmpWnTD-z6%B@oQ?^6w%a{YVgLIa@8Ce&`B6qc3r^kPH$8WG)kwq5$}
zY%ED`^=1oaRDn$YroDlEgx4H$F_U$ff;=O7ck=VyHTIqOhTQ7<U|Q=wb?fi+^9f*;
z{b>J-GW`Fp%xYeo>%aZn(TjhR{7;h@|4vr;VKItVM-JCVP^zm<Md`B}b5bdmJ_(eb
zo|^+qeIwKFY|FtHZFtic1Jop)K1lsf&?SG954T#ZQse4A>L2+=uX<hi_FoU}T?{3)
z9OeTqFwPK^ChQ;ul%@R-75xt*9eh3jG@PURUq^4r|KkVyXU8tm$1V&(SzFJuE>@YP
zPkS|5ULX8h{11!Wz`ue!K-q_Z2y*lDztiITe*qm!ngk5#SOSnxnj}yN0-{fk?zjNp
zl)jhPsSFnt*8F(n*$2Q*c6WF6qw!1*{>jwVWQu_JpZ32yS_ltu7K#@N2~x+xD|`nH
z&TU$cY%C<72HfvpI0Tk!>(HCRCbeFyk;uMfen0BmLo01}>a|@6`=Jil4Pf=2Kr3vT
zXXn$6BI#O^Al|)DdZhBNXTnym-#AEBs=5_w$!yzut#n7S>y@Xk#e;<ILT`Ga0l^$W
zj%Xw&DQO|9_jsZyB;>@6L!RdEiTL8_(98h72|rMq0iOSAJ)MlyDq{E<DK?Pk1k42a
zLUQ9r9XQi(|Fu;AeEUKYuf>=%PkaqE^m1u@tDhL{$_GmOPqUV;iX}|_n(UCc^%y#G
zMH+Q`iC3oWhUyV#Aq~p(U}8b^mM2fgO62kLbz+$;cxeM7<^J>iB7kV`^X2p{@Vfk=
zj3L%j1=?Hgl629qwc0lzKZE}~`%i|nzf{zRNmjR3ft3X7DK>XD*r2<4EwWLMEnn)-
zC*pK$GDwK<U&pqY-4CnhFR1(w1v_*%SFovW5?Fz6CzjmYc{UmiG_9&LN!woh4!McR
zOQ^r4t!Je`X8rE^Y|6JzO!6^=)y>iI3h)3lkbX<j2Hb!3Ptd)bjEsyM1839%g9#YI
z7-6FKDBHyU^On)F0LzxV6)@Nx><_F80{x%0tj~cbIVMI$MXeurjSD!@I5;>QpZn%d
z=o152x)6Tj5ese%K{K{OX@jW+to_aiNH9tBv3}wg67|(z?A(m_bzH7ZsEtf0S6EIC
zi!1?h*1gFtLKN)*h%`h8sHd%Ib9HsKi|U;bOt<je*CqM*IE8pV)6YQ)Ps}FzhNebE
z*P`zI*DQdu{_t5GY-Y;5<2Oh#n8@L!e!V*XbbwnBy+lwfeEQffh9yNL)*=5Iq_
zucIIRdq7S}$qjG-A&W5<J>YG)#karJNh9h6XYDGLGq^3RYHTRSNQ+Oq%-4`>zaZs>
zh_a?n-xs<MLv#e{LA>(kFbgn;R^Ncj@xTp073D?^59LSoTQmSPFS>Cm2_GQO1L{i4
z85g>Yp_JOn#d2lQ4={-HqoEkzrw=~|i7-*2nepxGF-JL!#rdh*aiO9>y1)8?d&r9F
z3rlIWU8_rdee3q1n4w*Myw%R+<ZJ7kjf2yL1xRWE#vN!ex?BM>1kt<z$_E7ZLj3`k
zx{0`*v>thA9haPFgYRqLnvrqCBRCnfNX|-A#TC{!wW60<0@*x$zq-O<Ksy6H-oc14
zIVq{~Xoh6epYPM6iheOOuW2G4bvhYssIjBnOBXc#TrsO9A&t`r0h$LDMh#<It_$tc
z3_*?M30g=4DPYH!5I{c~wDi5VY6m;@uGI~#yOLVIeY%uU@4ne7rJ2KzNS*85YVqJU
z2-VAx`&sEV;)Xyuj<{SJxIfEM-FaUeCZ|RHIb=dheXw_WuRslofLN4b-Kz^Tj+UqV
zD4OKtq6!oht8;<Lh%9NK+P#r=Z537eu3{>#_haSTGTqX~av0nyRY7xN@A&xWNL}M6
z06u%PH!ex6s7Ve4?J>mpvE0X;Xf|Wrk_l5rdRACti(Y9-%)0CEr;t!mLKW3qYf@kj
zQk2W5>=w6lHBiyJ1BY^~6kqDKz?8a?PXxy%%ISg;c~+0j_z)#JkAs<<tT>7ZYpwgH
z9Gd;kk1&^)mq4jIqUQq)n<mX0)MZ-vmZPugaDhr*GjS~vi*2-G(+dk>d0bxGsU&jm
z+~a}zZ3ye+mh0K2A5Bl;B3smofLa5O6tJKF%)euQIh=bzx_K{8v@)1@2URSZ_*6la
zV@t-1RkN7#L!es;AtPfu-rQYUYFlzfPK9t~-}C#>YTm(yvt@{{U(C?wkcSjZmZLJV
z#eaYGNDA}xsbcp#X^7{4y@sUb=q4nQD94}a4iiHVbs|zy3$wFlOZd{s1y;sWK!bds
zYG?L>f)wB<PURT!NPGLVscl_~;5>|YiB5+(6JuSWFieg}l7jS^E-SorD1**`UN$7B
zXb!Wxvjg<CYv(Z4Mq5C=DC@=zn#mY~CancC)T=qPRbW$SU}9iGOJip=;{^V}ce9H<
zzb2V4p82RqkJ$Eyue1?5KjdwwK?|l!d`<O-dIKDSx6iF}4K0a|T0YOU_NWuBd&B=+
z1&YGnj(Jm3MRq1M{UuZKheO0gIVD^mJRwuKr1wxoPHR!hlFP1P|F*~R!hXgwx@-9Q
zVtBE|_gp-9(H$umSi*}n<>d~`$rpo__%`@8mfhv%VzCm=NJ;ICEjwh?LmNz5S#~k-
zF3<#bB-(^)LA(rSCcWK`S9h-hFM%|DZ*MOPiv%p+_tTB#Tdb!y`CXokj*bpqxRGkY
zckAuTryl0%oQ6vIK$W@6HQ!rD4>u6mE!v&$Y7N7a6CI$04MXYHnPr*O_3yv`RRL>;
zc%%lF)0Z9QY~a~69rigiIL&#e7*CW~zgGNQhGmQGJhRNF;`hyw<HXJ@=XS-H)RUn?
zUZtP8=caBspJ5#Q0X#VG1P7|d$9wU@n5CRC;JUr9>Zc-1a2;hOA~5b6)qA88Z7|b)
z%=qgyW+}L-g}Z4W{2{9{HDRPna8IyTrlMvI0^#cpKqSzpxdD}|nQ#EV`U3a7H{_MK
zwb36cnsN90HrU8CRpk1&dN&x99LH1#M!U8{5$oAVtN~~9i58W?0RBO=*FHbLs1Pw5
zxH~o?O_Dk%hMF5I5mU1!c3ar`d}#9IIyB_2H7qHzTx*e%&_#SyMz6$mEJTTfn^8Tr
zA@jv|@b-?}gE%i|;a2SocDc|Hk&Sr0jRSUL;p7x67+by$fz0Q(^!gTol+R1F*5+y8
zK0Th*wWTUax!#3q;za!1I^}YJpS(`$Uz=(<f@}CJlcDU7cZ3K4SRlHA1?e>ORK+3!
zD*V8TqECsDQ;fef(Se#5(j1b01>F`{2@DDqogK%Yv)9mTj42p1dp0<YNh~o!Pe!gL
z82uej8aQ0_anrYguerOL$r30;=neXLF$kw5D1{>1--gQNA>CGU6a*bEUp{A)$<r}=
zZuT6k$Yg_L)0Jrz1rxm2!4zflA;b`VnMCSxPpl%|R`@U<KER@;a`g<pSMPCqIx(-e
zuWfG`fEC?&D|=EP`k}LGbvp7iv37OmYux^)z06q>9=r2MB=XrT5C)sCZ#?ayrlh3N
z8@mn6llc5m=`2wS=K@zwgv(N3Ml@yMzCF0(MG8!~q|bBY!b1oPVx5aOmM7Jx9em<S
z!8Ea7QjA}>j4Q$9K8J(|Xk|@z{OWpEH;%n5mTIx9Aii{GKJ@l$H9SrjYk-J5G3H$O
zH(8v|HC<xUp3}?8vD3C}@PGNG7~`Ptz>nZ^lj3Ji>8shyq`x<hbg#DP<iMKFVT_9^
zIvMoQll+tT53`1_hw#+|*)>2k2*nHk?7iK3#O!2)!Mj!`L^&FmEdo-&I&NQ}XivxZ
z&lLMU@|~^=w>I=8X}c_UeR+x+dAC)jwHD)L@=CxpH?byS+StR<a!+WiNSIp6QZv_F
zF%*(IQz?26o|K*Fo_KQjsR5e0?4X?^*Q+%crIz|t_qCWoT0Vq{0ju^Thosr&ba$2m
zJYr=js5NJz@y@(6UC3v9PN57bR!<`PP2~=Kye?zxiSD1i(09o*HlzK&2kEK#5UI(}
zC?=*cS*6_T-r!B2oG40jDc4+`x^w|<9s2UTzlB+}A;_GFX;to(Zy`zO@luV_4SN8G
zPXDecBD{c_HT_MU;iUJk#C5lD%f5oI4V_x_4g#)kFAUv4_oqN;XQ6CG1_>&6CL`ur
z#NDA{MfjsA12)o7pmN$GaX6=}6n%K9lw%;MtG}WV{fRq)h5Ik^fhUDB2V*{4;0Y5G
zqjRMf-#+Z^a_u&`luNtaIW27sC4A-R!61UAGp17|o=_J+%k47=Nmjk?)UgeinL#ZY
zIyod(M6&f(Zg^rf3bECdMfY?G9O5(KQ2RNAYKjmA=h&Syj4XFf2o3tV8fb1azk`*%
z);;ttNK$d_@qpTo+`mmW5GqPjKRP+-k(EG&M7tG^i{{$h0kwSyzX43<^C6EGmx=}#
zTe|s(3Q;GBQI8uxyphsh_&&^i6R8Cos9F<K$=kqtk!)9&R5}o*=4%*kAG{0uJy}p<
zqc@D{J>3q|tkr3Fpm2pA@lbyC8lQ~mQGP;^LaOY>t2)VX<^>^eyq+1Y&m#f%RltET
z$c>e6Lz8mh#X6)qn+@&Ln4VaH@5;~NeJV^1@ACT-W7R90v}D4IWH;0WRSvg&*F91Z
zmuJgcIM+4^t(=<8*Vwp*zPlNPQk=52y8Q_dq3@8*t%1y<Y>k2U)`qna?y0`C5v*<v
z#*nmDzRYMsfCAHr{j=O`tJE!510^SMZ_HttGrJ~Dtn6AoTe`Jvh$;`eK8^gb!eBXJ
z0hzauoS{s75mR0Q8wA}Ft7u~=54rF?SD14<x3}3;B;wCXD-PMrCR1Md#-=HAT8nnO
zG%;H@I8+%#tAAINk`puJqB@X&fAC(?`b*S_V|iopv}>WL9$E#THr~}|N;y{tb$pvF
zg3XO7CM2v-C^dh<`}sqi5g9`>#EE9LOL@a)f;g|D4cz*R`%WBFp4H|~qf0}X3Tu;^
zzxd9&xn1Y3;08aS3TiMFo462h4oTtn=Zp{IL*mW63JmW7X(rhXtJe5o#Py1x!9X0l
z-n-pRO)82wf^xc%I56$^X&gFz5BsubT$W{f>Rx`J${F|V!AAk>?w&{+*W6~y(c|2v
z74r&OvAIF@{4gV!d^}~o96lky#+qdE!{7#V0(z-M+mjuZ5ART@k_QXW2ouN0h;+7l
zPHy_~M#!%EejB%0!UrN#Jf-i)UHtuqAw>NRwe23ve3)>ScwaNOQ>A9(L9?@PY-viL
z*3@>;!t`F9Pd{#Hpna2{`7UjWmAGqT`QrUcyVkmm2Z`32Th93#`D_`^vuSYSl-V#P
zg5QeeY5==ezez+daQoM)te!YzG`krekH^-T%FBh`Wh=@a8!6Fgn5h1ec^~Ee=69km
z%;AjF<7p(ly!eZ1hM-x!cKqkwW{FbuoWi;}l;(|N;R;Wlm+aM@*^>l+wAOG>z5UGm
z1rfJ;`XdW)aqUD@<*3$r<?BYP;bS)A$E<P|3Q)UvRvkJfCMnUX;|+6X{zk}_7E?$O
zr?CC@nUSwk-Hde9UWM7DyB&4TGna~QeAun}8EB4|`W?8y0YG)P8`=}83&%1`ftPLe
ztjM555&2r>ReX)KR_D&E)AgFKk!Olp;YXPQ`Ag<a9_N?N(GO%dMwX_^>KasfIqA;%
zY-1xTvIfOkcW9a3(qlV*=*W{Vi*%|Biko{dt@uLU=R~33j}Cel)Cz^G=#>v#jLf&%
zN4d{m<^Qz;UbR+TnwFqXk<DOwrf8;j()$Um+F5X9xxCyR6zuH#JY79!sO*kbQxsyH
zv5IPss-@l-WhuL&igLOXVX{H^NH!Xv4ep4dSf%-y;Uy8mO}k5`2dipO-_2V2JOMMB
z<#K9?8HqZremI0~7Mjn+7<xA7xLFr$4}DZ?16Cj09~(fwk$+ex%Y4^qkyvLW(%Kqa
zTylQ6*#N2VD4@RoUxpm*0+4!YG&)B4Az&)IT7w$VZdo&Nh_j2+v%j~`ySJV%)@<rp
zGBcn&HWdA)44EH79$lv&Uw!mrktxx9A(O)xWnpKW`knqUuUk=c?zuR&MVm|MPao82
zsGhdf;qzcFR&zsUWN?c|=G2VOrBSnCR%@=kga{Q5g+c+-VhNiHw^1CuEEZ*Rz50&r
zVP609$@f(_Z@akD_F<yC3SYHRN>}Y1S^!m;W6@Q_xT>Jav`;q3&kj#d&Q0qTq<TU+
zYFcF}N!T;2L(ij5Ki4splSB>1r?CCOXk9p?#|Ze^SeNcJGG|->b9`>mI0{4~iGP-@
zgvK^<yryrOO$?m*qjh?S?qzQ<z}F;mnRn^ntV10Hsw5?_ktxT0JGxkEGqQCvn46nJ
z*?T~thH?{v*zIMr3WP>#BiIYm6h4$qQviM)x-f<RF#LEyR8K`pubM>;!SicEY^-wM
zVeQ<o$`YKEV3(6^CPBBiy9;zHrVebz4?V#geQ!d?V>%-RUQ3dV>h8?dr4loQ6scCo
ze|!}E74bXc6lSm;wZ}SYH<gkaXE=%_xj4S+G)QpaAI)J03zU%Ne?EEouyZle{<#!w
zi5<1+3PyXS5XfG0;=Ki^2>^ymaRbiutiuO32YNnJlUAc#c;a0Uqi!O}{t1I{l~=QW
zF`4vu6ff4_S~a9g%vi&@{<U^0;C|=lz(f;EJ|qLN^K9c8vr03zWPjMfH+y{RUT}xR
zFhDx7Ym;M?rU+qd#?DtZu;Y8_rax^9cB+q8G3*_z73o|Ubq_roUmqVIw=)!n{<{2n
zr>IqY5y@v3LY2=VWD&Zv;d+dJkD@#YyORS01A%VU#!yC4lyjWbs7>|ZcI!4O1k5Nj
zou5klk^QKc5)(+~<}Dgv@;PO;x6L6Eb+zkw{Dlg_(=9O;i3=PMz`FtF=m~+y5M0{N
zgfj~gl3SRvV|=WV96<K+#*hjgVi|T#8BD!EN$~3GiWu_KPJ*t-iKb`YAN6i93^N1F
zodf0V92ST#c5<rPX0To-Cb~<7<eiXa+=ELc{A%CksZFtP-QbKSnNyh0e6e>Q8t|O$
z`*27F(L43|yu&ZrTty^0EIM3_#*10#V$$3-XpWI=zgx{_W4Xg(i!pguiGC*o<|Olh
zSWtGCr&CV+eO>&ugrw{Y>(97k5zTHyVx-R>)+8%{3yB}#-3A8n0z8QSz12q;1?gHs
zND#~FIgz%4Ic>@qOJQJ4L2;(!@deOV1V*8AHhX+Z{aP3Ij>B_U!c5@?6!O2*(^Ov+
zUi+V}iuYd+FJ$x>B!aQG-`VW>7C?6;n!iI3simdCeC}x>r1CN$$qKh_r9RRmSH4I1
zL=Bgr-7<tXV4qkZ^+ZGX5rL_kPNypkiQMV!RYl=jk`tw;V8s4VN6HZdecS_#Z8kPq
zeQ$gR#-3e_Htfy2I8?X{mF}KpB8F$L9ECEUnluz89vBE>ct}6b@}?a)ywRoK%NpRN
z-nzQ?urR~a&EDC7DpOmiZ~%t^#7Hvo(t~)d=a>TD{5S4nobn;7o+p$2I`S_WXCE2S
znRq-=Es!8Iu5T47n>pDLcN~ZSMZ9_W`%}dX2=x8K$<d>hTWU%J0|aH3d?^xHdano=
zf;=nZK-@tjvJ$x>QPGp?5`w<--J-x59Gj~A`R<q9UgJyl*Q-B&{&aC@w2w#$K7#*_
zJK)^>5f2_=O-SRLxPA9Nb=ED=w4fp3(3!WeHfvRh7NX6kx7?EN*-pL~!&8&;Z9KAP
zx!{Id#?A>*h7m=bzn+Ih=Xp4!V&&8xr+gB(w|XvKzm!Na5!5YNU2Qn~i>E()K-+Je
zGhXC~l|^T$4R<yBP4=S(6}LOqUs*xyZKvekx2o7GX3TI0MEeh#S;8z@V;F*_Umcu(
zO-oDb_)S7eMMV`&C&{M99#kKx6hI|Qz>ul==xe@~^8Ezi2X8A=P7g*sK`#qOST|n+
zCGV)k?g5M8%*(7n#hKik%s311_uN5it$}Xu<o6}*BwBNvd>!R8n`yhx_h@*Zfk5g5
zj+=P6<sXuKDb_^{j)zDa<(sN(k1d2~PXm+tXq#*+f9X^ev^J#D7dM)xl!|_g`1otw
zM9jYTvs>~5aBFF;@epUz+ng#>vo-;v{=&Vc&8){obWd%B?*15<{A#0DyudF`cYbI6
zVC|5=sB6;Dy>dM@FT=&2=aH*e#>SR20YeKF0<t%%NDmw?IG`u3oI*=povdKJFU`22
zGYiNUL7q`eZA1(~B*O%xz_dDWzM?pi`IA!sN^bZrhd}X20%JsY4$#~ZjcNl<DKIJj
z^6+~0-h@M^Ml)lk7%U$(Lx9g}u2B3<HmgIH0=+Op^Y?Vs19!xvz<OeGjt)OS^<{t8
zw*Gamn@g=Vn(n0kC;$&L66NYYXN%*QV;=nXgWw#G2?;qLpOywj%&fFFD&oP8Y^AEI
z=*I?S{CRfm$sbagC}Dw1yXx=CT{^{%FbpM5_N)HQiJ-4{4CGj};Z{_s<rzhU3>j+3
z92d<7qo|xsF9ert$aN{C;uy$%MTcFU95wtB)kt}J2j}cJ$^K2#DUeu-<<-9I{Mmnh
z_ZRm%3}DD@w;`&+y2G_wE})_>Sn|T}cZZlQeiHo-C1YOK=$CHtYi$+ssj@WhTvZD+
z5#DX2)f)Pg!Cj>OvdMhz13jqQI$1`@A)yBZQhgb~gY0<TM2}M_V&8bwzWnxXZ$U$i
z0S!{U$H>W&T}M2bUJ=CfC7^7&3Omg{VvxZ9kd(nB%&NmJ#Q2?u@SyjnFSjThM{4_D
zyT9w_iZ`A#)hwjMVSUp%;YxeQ8YhWX+~j5F-AU(+!r!(fJ@7m)E9dV%<vz=up*CrM
zh!~D^HOb$d&rbc7D3qDP*f;D4gwuq`uo~M`RTsejqzwD47y6$S9ye++bb36+f!uhu
zkba__y}kPZZN)04V^Y>)sJi>n;xW#zr~_u`qOAvToFsgBt@JIg*H9Yn70<S|M>ceB
zU8|s~?Tgw}v6gS;TSAdOo(3*p^!>IW%Q|f7L&@s5V4CWcM{Jbgqz@=jVK|s+>Qu<k
zhnM9hl6ggi?gU097I(<$&ZY35+<)jzLY{tqaw%4HSc%}J(&LZf>s22LUwT*;lPA<5
z<uxO878Alg#^c1+LVo3+lKp)qnS7QjV^x>HrJI{NUds{&shF~_%i3Un7UWru7uf!h
z@B8~jth=oPzOB>RedqF~F1hUZ@;ac2JdC(l<6Z>j>PZ$uaXkUEU+zx!a&d9_@Zker
z$~_}u^K2zywP1m@gosbB)~?ov17$Fn+KV_~w8d5^Yi%whBqm{ef#VT5g0q@e>$36*
zua<pPN~Zh#vWg!Gp-f;8o%H2vkbynJ`ro(r3%n<$n!eu00T%;PY`ouYPmfRqH)fU0
znAR><Vzy!5x9v{QxOp<rRqCU}`Mx*DHsvj)b?yUZFJHd7huao}8=-4KsKKwEXwwh4
z>nOH@96n)1wXtvC;=<r3v6iBh8WV{%<v90xM8O-J4vvMl$0ex9-)bhQi~8+I08$-#
zaK5O%xA-&Ac#{LC%~g!{K``9Fj#!0URzmpU(ialh5NgAB@Ai(*ZQ_`FtVIqA%u1}s
z;#^B+bP5C+Gk@a-&~BuyL}s|!xH<k<+@lwB-Q2SIP9-lRr@|_)GC06P8#Txi?7DFG
z!Al&T+iE7Z3G$KmjK0q{8_(CZ+`jKgQNlHo@coJFpnDiUE(edrQ!VvC$d7(s6zXt_
zbDC}P6<GFXC0zzq1Lu#=^9H$LHXXD~-K*{&grX|0VT&!`fH3f{n4Wf3jb6=Ira^Nu
zl60q?7^3j6HnS7<-c*I&18sQCJnVwswTaMPqGr+SJ?B4-o-uT~@TRCHryT5TZPBjR
zQB~`#J%(NZf&F<KkrVrWf)@zH<C17*mC9GWcRtkM*XnP5aZ)B!zyP+rPw?rf=6DrM
ztl-{Q<rC2#_jW#25W(CJ&vv_JY~3$T_H$U0XAYW2Eho^}^-u16DVr17U_$25)X%qX
zcW(rE(XB85tm=azQX3Na1V232;<AuN1a#Q0sLOtoeMej?F!V`#Lf3Trht`1RQV)rv
zR}Vh%YFo)Yf8|~FwaL6+_ER=F3&>=t^2rk+ZNdGv<C%&^>#)#QiXb{Dsr*+-1!qf~
zHUk^j9gv(!Ky#|rXK=}us%Ce@>ZgicfeQtQy0MNCW{f+i-tDA?nCJS##bJsh2$a2!
z;&YPH1wJ-Y{uka%B<LJ$ZS$<W-TG~X=8}#3=2A3Y^!23&-dY<0+j1_Ad`C^DQD1d^
z4hP-B3n{j>)AWD=tqP+SA0XukelPMQGTCd~Sc{>`^eIalIF{|H7$*6#rq|9|^6h~4
zfdP+S_>M;w<;hGL9W3m8%ADoWdH+l2dy7%o16KzVcd~R+1H6~I3|~_PaRw&@s`4+7
zMp&=W3`qo`pR|&Jwl2TXX?W8e^oS^!hct&xdvd8x&t5NEAX#=za0&$aFwo2^NLjLE
zE0#go_;ir&G!>4wqD}Il!E#k-2<Iim6VOi{pYL25B+KG9LTQB>Sqdw;ycdTup0H6O
zP(aGYb-eqb?0nTf)c34JW4(c4IWa-c&yrP{^0*xF8I7^*X#)piBzKdGD$OH{B>sR*
z!d6;#PswpfD83b13kd@MpyS$QGlIO~oy(wP%UTlYV7mV>un|(qp8wbBz56}B9B|&u
z2l`~?eV-DE+fP4)_9=Z!)(>3?gVnxwl3G}(d>!!3MQX(NR!<u!qKIRaA>mfQt?FAu
zAK{jI_o#cK_WP!<zytxH2Q+-Qvey_3R7}moC>TU*2*Q$m2u$^`yaXLT3}AF=nVzN>
z*wD;-f2G)EH7MeT2UK}!RMb8D((2#edv3x*cKsF;q}oogoCvhvNJ!yAn0%kh9r(4T
z320m&=_G%LVa<yKH+JDmeZoJh*k=TelmdOUSSGnuFG#UY*ovpG@8!gw(454^5eUj<
zQ=z)IMsT-CmH0<R`&*8?1EdM26plYW9=i<=y}gg~D1eBAroLs{d$llG1T0X@e;~w#
zYjKO}YjsG-PoA0~$`+d!871Y03wJ=bA#Jv8pa65@e1#HoJjBB;O50zWQTmgU<VECU
z3NKvmYy=D}s;u0LFDl;fi4N3xF1pIALt&$!@W!k}eS!eAuks2i_wo+g(vRI#!XeX=
zZ)<ATvgKhTU%tA1K@a8_=ZjGv`L>Q)MkqX+ecvIau;ddQg_y5c^9!7fiE8}O@g+Q#
zCB3U}TO_J<a+}WhJwxYxOPEHw$UZR9$QM`V-Dz*UE@1{D3!2{9G$4yNfAPbsbaEDL
z`h{dz0RUIo5UM-oEo1TaCrmsnrK7ASEbp6dr+JA^N)2T_1loxAL_oO7#W7EA{k_Nh
zOi&ej@3G_q$-itm#y|SW_}N^4S7tdGm`G`V2*>C=Z~LY#)nWCWZ%lnnMD6MD0l9hE
zkG#H^$Y=c2TYg_t@YX7$1MKP^Ir3=7u|^SZFq?)In5UPdD7KULP?Qfo^CVn;tcqjV
z@{{J4m}3OFR#3#Vigzye@gK-M=HaXxnL^z<V1G~Fc3V1+r65d!R(7>1du!Hhii1b-
z%h!9KOJvoc-KX*mMnc^jTwJ?NHBZd)pWbLal8`$Y7*d?((mySVai+@{?5f=CoG
ztr*iYPuY3vD0*qXtBcc`(E=^~gwiDr5QvRJ4@4RmaL`=Y%!mUCF--p#SGn&3G#NEJ
zE0$KiCbl20C99nuf7@`#hBc3R=F994x}M6tbISy20<|agpFwXK)SZxmbF42Oq{}9}
zR|(U~<fJ@*Ft-xz^)Af#`Ko15$1RTAkNLC(?K?i3Myl%@12}QdYROgRWt#b=i4!@Y
z?}Ib%q)*SH&=UkKWew))GmIEvOLv4?c;ctW-*;1Sf_+ii*}6OJ)eCVCzP0_T+l&9N
zSpZ&=K)kO77?w9*`Y5vT@j%<<qMEP1te0Q3*!eb8Kp)tF-WR^zo?fHm)LpTD^i?@F
zB2F_n5rh+<&&%%KUFGf}xT_C=;DI)b;0CA^d)@C}b?`xd0wnRe!qfs&XH&bz{%&tu
z=Z;SI_j3e!npb#FmP(z^46CQ8k!U4?0`HdBlx9nC3qJwcobg-yvh&OTu&KU-_uvZv
zx{zj1F{ty@;x1D-*&{4=cbYz@J=e!WMY&*125GVG4To&^jL!^w!)c3o0%D*pYEYmx
zXy`K+p?>dQqR5}wt)tI)6|8#T3K^@cPa^o@d==U&7>D!g{~Tasz)vTaN1oKB>+
z5_@e4oYiSZ`%UhP+x$GA?zB}t{+PVGjWMn!)tq;FO&KoV6y2saDdN0O+G3&TpgP(4
zJ+gSLib&9UqPSsQ5|Zyd$BCU#&ncigA&`Hm)^Qak+1ZvFi3cv!MQF92?>13K;_+vR
zdvK|Zk6&sJfWp>M7!83vNynwOX4(uFbyl<7pNaf61QFSvD16c6uWGc5r_eX()OFdZ
zanT8!zoGX%)FfbZj{3!FvUX>1ZLK4in46Om<Mv55WbfrazZAb|Z*_Nf&$!w>!ZL<9
z4?xW=rsi;E7w=GV+#)X-DGEN#Mmm^$_n~5vI1v3aqE|H1uEUFS%JqlARtEYKL9{+l
zKFe0R9cxUx^&OAasn}|c4(dCfQL()1@-`<K=TUasz^B_^Pc!dQ*swJ?-zjY~sWdU^
zz>}e1OZok=XD)q71gzZYq_Jn~m2~R?MUk8aCnbfR;rCa1(WAFpRl!7G?o2smeA<r0
zTD~$aYf$Jk>nM<WPJHoAB|G^(y^)yf&UB?pKHv4p{z?zfoGsSrtFmngg8-bZZm!$t
z6#Dbxju<XT=w92eki18PBqIzwo|zt(#Z<EM-bcWg9#9wAa&2sCO4|T{U6UM`>1BUC
zNXTGs_mAt%11%%q=;Tbg5#C^^u(7J{T^8>vp=Y;ccdPDc5jO|OZWx+Hrri0)F1J?s
zZaLPxqR``o_4E|tvHD#O*#}fREvYtipq(u{St`xq?QKfC>dh0H)nrjeoZz6Em*;pR
zY77jnqU)4Ici5cwKOMfkXJ+zChp*!?`%}k(mwl{nK7~(%aBv3ZCUWJ)JGSKac0zYn
zWm~G&{XghAOciS`^F4ex;zQUNnp#uO-?gt3$t-fKJLZYHBaP$7HkL6#TaL~AgoFfO
z&y!U0ODzaVff3{;lwZO4qaI$y?SZ$!FR*T=Bi2k$P404RvY$7DsB{RNv^$+R{LR1A
z)BX!^PRvcNTVp0XFAG6$EHb&8Q&NW%f3oWouSX`c$AljUEDBPqS$D~c22T8VA<$M|
zT6gAMSLlKB@>A6GYhF=m2{#sTU61?brY5)Q7U_7)WcB)Zv$pozFN$!6Wn)a8HO?-5
zcc_80G+OCiJ20T#u!+n3#5b6$gQJ7|cb_#{3jfQHEEm{T@<6MD4rGzcuo5*Zk{wlp
zx<%ohqezw>;rQlfy-Fn8B<*xD9en5Ky+TPu?n|<7nlIRyA2TTt;I<1Wv5p$NOIyey
zg1J@CbV?-(SqH^iG~7~9=rS0Th`!W%Bj$T{Sgc(b!8>W~W@V*p@SYIJZ-g`c!Ldgf
z7K@FHj2y2nlsKd@RD3{iD@r%+nOzh4n_n*j+6E|!gz;&!K9?_y7WM0lm$?i)6h!eQ
zZLpV9^MqZ7<OX?7&CMp!Z`QAU`w3!<zWB6T@B(h)``{77rxfk-^(S91?ik^=rB?-X
zv@Fn;%7pgg-6HBDIXA9G*wkvN`uyoHM^?VZ!RH0D>0tJ2iE%*W$?OU*X-eO3=CBF&
z>A>HzAn8uN-mmJ5;B2V6l~FXKMEqLkZbN4(=rQOmzvZusAm`LUbKvwgy}kb~B^6Z?
z_fBhax}vP9>`RlUOiVRznUrIh`0-wLqIP%lUneCdCIX|LbSZi_#j1I^|9C)(ySuwL
zV&U{+V47NiX6moEq}7unoTuMeKOKmgEYZY1RzpueSux4!5noW4oP5TncBoXT!b2#M
zK5UK;!V}t2<jO3m#3OUjuY8jBo4kiikc;P)E}m*+DnNzUsD*s1(JlmS+LG!Fy*fWZ
zbm#bgpOHz<|KUD5EH|AnasH*)n6>0ONf%Z8#F^Z=*Lin@*YOkb_Pff|Eh{`Lf*8}4
z%Dq4hRet`IWhOy>mVi$L#-HRtxYtlYVcd^uA<0a=*Me=)3eOggeIMNA(n`m<g>(DU
zXu+0P&;-~}T~pPJSYqhpqU!+p-*|h=sH(cC4fFsC2uP<i(jnalNC;9&cPQQ6jY<pB
z4bmkb-6bV0-60*)-FF@E{qFtl9e3P+_xyNY7!LN?d#}0XeC9Lfdge3&iHmS-G!`JT
ztZ<*~ga7Rci$NPT3ho|hX!WRO{4^d-=&5r{^1<iLFe&K7wFp{9Wz?`sc*EU*%$^Kv
zm)b1(!>}E4o-<M(@-HGx3j9L|+2RioPPoqJ-rwA{8#!Bu!#zbt^SDngC!eCNJIB<H
zv)7{r6OAM!?rt$XV*DXF%9v%6&GS`%zN;7x*@T1Pb$`pJio$9NdeyuFb$%tmB+QPW
zM3wv;;Xxa|V>jVEbVBj^z8FjIOx<~Tsm!*X?`FxlYU;|^(S!{~kmOcpa=0|&lA^k?
zyKOq+FR!=fLOwH4n~4b{2Dg|RezpDPmc<C8%e9W7G*T(bSZT37oGtz3_459oHtvHS
zB(MjVjUFt(_wwepv(rEBa})9t-U+8H_vbGs<&z$-!8eo@j^-2C@N|-s$=I?D!yy>7
zx>>L}kRYI-Kt#txg&%!})b=oGiWi6(b_Dwxn+><gLWHS1q<n|J5x9Q$=QLycDvk`n
zYb?izAsUvE#sBp~LYO@n;s<M(zTcwggVG|*&Z+G43+WZ>4?yc|@LG2l`xEWN_Y=rS
zDt0SlZ@`8;kx_d88-YvUgyuaaQ=KQj5i(@$XnnmvT(lfMJbdh}mL>DutZc60FLLD|
z*qC%#<;eFLY5_#1T*?J>9D)Iw^KNggOK>F$wBY=5Q{4)tEXK_$lN=49Sw0^7gB1`B
z)B@p|t<n6sIc<oI#gz{CB3WC7dDWo1F+L&;=SI-8FD5k_M5ny?f5`k4{ORB{W3VD&
zv+<vF=eGPPHGv6)!D#sq@qTy_m&J%DsfDb=G{_tR>GN5%&r_4_cM*d_$WnWIGU*E^
zj7$LNXIQn0(C@F<(S7yzePF)gm_UTz3A*^pq8NtX;7SO7CJ(4Lx{7qxDb@JVOI)p#
zJ{>moF0iyf_UH*j=DmWy*<2NhJJw6s$B=Jo%4Kd$)+&vB5DoK^V!YL4a3an$5i?@%
zDn_c~r~w=xK67j2kcA;bX_Lz>Z)lj^K0%L0@FI0)zBEQC*!B(hj`Yi1Yaxx)s!lHD
z8QgSA{$?Gorfub8wKYm!`?bFAD4Nyx_f(KO4U`LO-}#bYTt4N%2M#rCo?R^;Oh)#T
zJ$@t-C;D2lR;v2M|0666Of+2K5T)7l2tU&Vo%~~UocQP80OabVQibvH-8CCW2-aV3
z<P1RdU2mJh=un<8sTnVx2WbKP+mA+i2FFAMh7hs<A|DJ0#Qql!83YRx?s=XF4zCf(
z70l->A~FcueoR0|uT}zDGV@dnk^Q6Z_3-4fqdYc$<~Gmz5w_s)T>latezBIyRtROq
zfPqBQl5~!JPpzeN1kP+yRch?VlPAv$eTfB5C-rTKROw?{^?-cO3rb@GJ@pcFd3o$U
zfyGo&^VX$DN%cF@aWAOez@lJr&K^%(nIS+T#;(6zPCiD1L+vfj`GSCgyCWkz$qLDR
z`*KKIM@K_rI%EMAN}PoOv=4n-0f7UlFY8N7S(Eyc?T@%jpU?y=p*b^7<M*iG&`}2^
zD(7)^JRygHz`>#WP>?-J-mvXuq80w4QR-v@hg5a4=GkGFe%Q1NkKLgp7?DPlr<215
zm$UYaie9xg^-o2Mz+xc5Q#yFmqJ+nf1oj+_AvS{Z#jh~XA+#!?p+0mniZUX>u&7_Z
zV)rA=;}m|)$kB`+{Bp(`m@gu1d`*MQNb$my#a}=q?!&O+T;{12sb8JBctlA>Vj3t^
zW2Us56jWg->?*akG(D9t6JBJTW~y6}y}tZ`BcC5$|5yzkiEP8DzUX!|*Uv{|aU4%3
zOg+Qsb8jsg{8L!Wce*>UE!U@y$opolo;pmVAN?9R68{6k$OqB;AkBe~@<1*x@Zax0
zD|W!4xLhA}rP%i$dpv#zL%y%nfz%&M@KlyLtImn<W3&&E8gi{@$oDm-sf(T#9*9pH
zECdij#qV~?cu8&I-}8+vV|KuNj=L@|`cV2ugQ*%3)ngyW95$|{@0(c-*Ym$E@Q}~E
zFno~5h>5aOV?9bc+r$W38AyZtlOJ=1VIUb>+jHX8Wfo`_+r5Z+!Z2hk6ZzWqC+HbL
z+(?#68HaV=T=GGp{6D=iFk$iDVcTJY?;K9gW<`}*cxR#>)!R)NQ2gx|GjGZMyTLMB
zI_9^w$t@1(4k5H5!7ko*?L6$CeBpYO3)FMJ@<|~P7g&6kh-=v}oPlk2Frur$PF=>1
z4aO0sC2MvgcexF06ww>kTZ<yb)~yX+ED!e~;d%O%vK#r5fdU$`(;u>+l;oH0r{JXB
z{$Z;~DMtOP?k}Qp3dh`jna@Y0#yA43aHdgIGjiaNeG<PQkU$0kLQ2?H=-%O42*3Zb
z^?WP*m~3SugV)*lz*D&(T+6bci=C6sz9W;&P<x|6jB3I4q#@Zfkao9bExO*Mh|}NK
zzE7h=<O^YFmT)f5$&_x@mAg?_E?JIU0cMBUxB9DKIOPIz{bDwFBRw>awChB3xv@#L
zlC{Kyo*c78eRv2)hoCt7%hGsF7V;Q;T0}p0)VqBHHW(jJ1?z2?tbR$jUf%ijX}(B6
zCOUDL&5v#C*YrBXq=oCU{e1G>Vow!iUKhM=vEAzVJdcuupFpK{SZ}N}-(QFjZo!qq
zU^}sJ_{+R5%*b-m-sFi3$pj7qES|y>7$$5vbx0u33)=+WHizJiZYetu@!Ms|@Asx9
zAhiL3ebJ#u$L~qzp3%aRWh#jk(nD{}bj%jRiVuqnK`p5Wf%6HJ4px>~&3`u7jP#0J
zFXfqX!JuBEo`O@Q;iPWvnvyJvJA1OrUuN7ZggS{0qOXeV5R}RA{3;d(gtjkb<uP{l
z48^aBD2=#~zrAj-IFrCu&Ep%w3U9=W<#2zR>xs%1v-Y*Cc&Sv^@kGl|@DiusYG6<~
z_Jf}fMjZAQ+n55V0pW3)AauMt^FWQKNc%V$L*r&q%Ayx~7)HcvxAH53u{USL6eQ7;
zlRv1XXGSjGNA4v%>f>7@5VlnCy<AfKt;~;8OtCEa^u>9uv{G?D$7)o<GM$z3@%wdE
z?fj1Nr|eB8Z5kcp6K(7%76dS&v@zN^90u`h=zgcI+$*1nE<rM5__aezoeuRG7Zq~l
zrVUZGRQB-vbtkBepgTX{C@WB;-lpDB2`Os3SjOdmJW7W2xwr7P)vkrc08fP?`#5hZ
zx;FOxlKpRooz(fUEX5euAMcz0Br?@+lm;MSCO;d;h{4&2rw_(qjjNFf=CiWR@~0cX
zCtp(N7~2|^5!FtNeN|p+m2QHb_eBqzrwhVqWui+b%qU#GUh4z%AuOqwUH<uF#BYdN
z3G@Ux`8^f%b!Pkl*yt2t_5<{PF=e=pJBp|HA{Vrsl=ZI@64&BY^KcdLMQd5qGfhYW
zQL8nWAc%fsKra!o?f3MOcM2ym<ZI!viCwsa*Wlk|cJs4b=7fzQSL-4l0e>V2!#X5d
zpFiV>KjtbnI498(R=uw)m@u*bS_cvK#Wap^;17dVv)_p*5DskwbmHkMZHsp^#?4XH
zxUUKGPeWqHK7am<cgigeUSJLTLkd>->qy`YCIwq(v=mj*i6cJ>JlqFFQ{38vcib?-
zrAdQ9XJit3;W!YvQ9T$Hlz7-99}!`e#h5%yJJW*Buw)}*McyU5-WQZ+TlQ*swxsnq
z1$5)M$c5imO_4_6E8*}S^EoU+zDaRrS8#Snxzedk>tc(iuEQ+Za0Qa3iiu{k7KO6H
z8ic-nKN-%d`h4t+?wy53!#iQC(*57Ptj6C^B1<=ozsA-ODH_hpp+Ts5rcbKyU8Hq&
z%C69Gy0{ub^f~*KFm2u~)tISzpn5JeI|ZFEXm6Ax6c6+TB0=bjRh-63Nwf|J`lDR@
zO#z8=o$u%B?jhFVht)-pphgZ0;YWrDeujLj)bTOY6R!5of`4oPF;P>kRkyR9QpSq;
z^v-Omin?B)<}ZH8k6{xI1LAvFlJgZ>bpNoIZR)nxmoQ|)5&jKYo5RD!1$j=if~s@x
z5m7wKI>e_1(z4+8{iRdp^ZYBLeE%QWwHt{$VcH3K<Pb5fvPJrLidhuF>%_|%R=&PP
z1D>cH+sW)`9`GhJ;==fespFTz4mGq$6a{*ZA<+u2&^eO&LAqqYwT_&GC(fE8H<-*@
z&IMXEXf2Cp9rRW*VyAxua&Otn%Q+<eAzQ(Oqhxu!hW-H!7S438k^{d@r{#|%n*Xg2
zyX5g`fk+fVVk&~p%!}eR2_m&zEwSvcnFXq<8rl=no=tW9)7ELMVvN6Gh3BfUH)V{m
zh~n}^OrHEQ7U~L(Aov>L^U4?gM>{SA5r@U+6hh{-N<a3IOifEmDQ+~jo~XVIt`|b$
zCNpbCY!t@BQH6MD8=cFJvw{$&LLU=F^R|Z_ngspl5_RkbpxSa^Cnxl4bihM=mU^=v
zQ^w?M8nE%Y9dC@Ky9^%L35UQyOv>b3dEv<i<CP7%(vxU)ENaFjb)U6zJsYtN(I+C<
zhZ}wt`d<6bGur(xy4K?_2a}v7s>fq3KL-j7GQ{=1$A3NKnXN#F=m#hrw5`GRqXzIY
zt*QrQ-(HDt^xY*k4fysx8?oUI%QJ{BRWliW#4+0F>pE=nJ43Ex>_dSXqnn#E_vCls
zr!a_tz7YIZmI=LBoVzt0m@%TkX2lo<fzdBV1!gU{N^T}PY(oS2*kiwr#W;ClYX~8W
zXo|GMvJ3yvvuET;!i;0W#YJlIsgQ_8|81<BiPqBc*d*<yjJyQtY0)w0)d27p^glo?
z%c|Pl5k{z}5|qVw&6z0J>`@o5ZX-OePWKkPcbM>jBNXvqz7NckgyYkLUZ>^iTze&g
z`L-mr>XnmKB(XG&rNx$V_z>VZZ*Q*FN$KKxr%(;?<s6u7Mu;+$;yjbczrv5%684^M
zP__H?Dd8kYIUm0sVLB%|Ct@jAC>XQaS!iyavjRn?lJ{Im>gHcq<*`}IS=Z_jlZ#Zg
z&-Zt8Ux!E8{vE1b&{N9dJ9%tw={?=gYu^(?Ym}oglw4AyV*j*Arob4Tg#wo4IX)Ls
zh4T1U;}+@BzYTmvF~#zV*?c~MU%^TEN{z-U6ey1(FyJi2d2Xa5t;P<~LoxHGW_=a|
z57z>a>i|l8pcF(eJ>I|Ir(s5rM2{j4nke%iXLRsZx>w<9d5E@adYQ}hxh*6xW25P6
z_anp6(cQ%Fx=JotMT$dDAw*aL7ic$$)r))hciN&K{?h4SNgQH=w~ZuOKBBckkMGj^
zv|gU+Ma*@&$TY=qRYP_*l|BlDk(n73=uq&PhlBJt^#y5oUyF{=54C4Zov7ffUj_gA
z;F<HYY2LD493m{daHguN3aS^j+C1EyT5-P3{I*2Z8b!+<XZiD3FX(?chkpCc78D>?
ziK~f>j7&&KIA=AX(c8y=p(0wjc81)uYFDe3+8>*iVa-QxG{xBdLq<8xPpm(=%wNFZ
z(QipLrY+?H)y%C{I0Q5zp8aE~*tobT%39>zmz7tKK8JC-5=AZv#~}5HhKbOx#(x?8
zCXOsSG4=E5W2uh=ZNk3P$cAd#i7K$ED?3q9pR+N`MeB!Wz4sc=2KL;vPL4eUg_8Gf
zJfJE1lK;J7xxB&{0%xqfWvHXvZ0VfZ3g(I@y{4>ia%PWI5Zp@5PnodAc}Z7|;@Fsb
zajB!;H0mJuIMp{cG<a-cT2idgo8iX2e8Gm|)G!uddeTVMKmM9{@QAOeIS+T;ei4-W
zKnKrh!u~@2>Z;-3QM7_s1(%0i(}CKK7$EO~Y9*_Y7h>iR?V$ZyRO)(%tw2eS#?|?9
zct9rYej5x*4$lFdS~prT!uncar6~uJQWT%;7RUA4*49?Ua|tUoe}%1I5zjR>HIJl<
zEi6S+*XOKMd1sAPncddmb+`w5F=Ar>HU*Kee(dtv2%yr|i6585tM6rKIxT$lu1ICQ
zA8`$B655IL0qvnA=LgQJUzT(mhzOSwG8%?s#=exqm~vh=Jd<5EuAgs>FsszUoThX6
z@p6t&hp74T0MP7c7|gmV+VAS;r8-U^dR;=0qbDoK$P5e&DRS$Z#DCMQ11C2fo_*;w
z;V`S7>HB--b>A;DJ!i$UXdSxgz}F|Eui)DwgDVGUxiG5ipl7&hE<J@dOg2O5iyMcB
zho$;mso9v>qu|G-r6mil-Xkq@VsRinVQy}&D|A)KHW60qerc4uy~7bA7qi7w&!dR-
zxIkvir;Q^^D&O(Plz`oeWWG}3peH)iCl?9dmN0_F|6JbGBuEmTkZ;Od{g>AO8S$4Y
zd@#Yclr+Nl)pn(nBWxZ6tMh*I^+twlxl{qy#TMUk<3UvTk3l=M+0*h4=lg#^=D&V3
z9LhSu8S5Sf2*Qwz8suGdLP7O+e?0IEOV>RHiFY@NJIp$S^hE6U7h4O7VNz2Rw(6$-
z2B48rXINF&vrnCtLu_ub`MZ=}*gwXIQAl0qOag_5RVa?Rr4EGNaOwk@%A9P!J|J6*
z_d%A`)ylz;j;Ddku^#iOah;L!FAIWqbdGbG6A-YZ&39MLcaIsbT>}CO3xU_+od1$L
zvgxsWJsDFcL8qLr1bU9n4og@%XB{WBfdXuma*|AJQKeKqZ7|qp3^7vj*n#+uUZFqY
zUiJab7t!|U!7#2VGF*-A^!qHh;C>?p3i||VL4JIOylbuQ{DZ>}A$v!s5;274r;uNf
zE3yAGAL{MCB&67DY$wfk5CiJ`)Wcs0gDyKu9#k_CZ3!cw=wj*OL($yiBt8m!pNC_}
zhmMv{ov-rV=kXY#U@0TdL3}aDR9PYDTNqBk(?Rv9q+X?;WyCz1(gY;L63FjKR;P#k
zs{;ft0RctN>kbc*8hHJeNT2sjnM$Y+gl8zkk;I%ta~0+j``m$xiXM+jrA!C^yp&4)
z_TrWq(68PW#Q?APQw`O97oKet>k&BN0!~6Y(j#S)ulTiMqdqf;^MA?w);Sh*gF$5A
zgD17eIm+<MkrcEhPs36B6bgFB%ueR(cQpV>v7PyFHRXq^v1>PZT!1b(DhdN6lf?XC
z6j?u_Jilnt3cP}CJcR`rP3ihp!Pm#Gx)unCN_xo~TgA;ieKfmu+Z#ifY+ahrEMQ6F
zfkos1w*FS&K#Zn&QC_369wxVz{;5oF#=^-dgCq;0awg8($XD$0f6p3mAbM#K$SatS
zA|7LfIw!|fN6_a(7rC!iCFvU*8>i0mUtFdidw(^ZcME%0B8~<TUYIdHZa3%Zotsnf
z=CbNYj8w`bCxu`ftem9?xa=>^lK@H&>>MWPhpT*}4elcKCW7=h+0fpQK5j>Bfk1-i
z4p#17=6LnF#%GYiz*lO#aUY9`5g070e2-uJ{X4YUd%${sC$rNJdG?dKxm^>UO>Dfx
z4#P)HyV?e3Grj8aTS-(Rk`)JgbyvUBML|vBZ2`{x0ukpoz7PiYkfI0Vj}T_z66b9K
zzUDw$z9IQMsvNIV$Zz;Y1@-A7vupn@ADkg93?VyS(?s_<nBlLvNM>$VGQFET0P#+&
zp%o8Wrw|D=zVAe9m;DwkqJ-M_s{$Vz?q@aIwLm9Y|IgxT(u9nTj_mAgmBPv{9H^HR
znYCIWfZ}8BSNQ%U{@T`QUFzjET8=Lv@!_rP!V8+u;!!`+j}e~DIj0F+z5suKc%Xfc
zq?f2oIG%+R_DkcH6)mzrm~rq3J63&+5`vu@ZusZHn`A-si)&b+D(kGjf7i|u|K7Di
z{-_zJ&T20nca>iz?oIFQpTa#W_re&v3#c&2YOVAAbL=JFS6sNeeBlt*E<COjO4dpB
z^dRq$zOXKMpUokl5>0Ny-mjvS^@Bwb1-by21{8WMPKP<DC<c${W2DNbMm6>v9q%os
z`sD+Il*1FY%rn1D4}BKE>X(HkLw|t&W=nYgWDmd1!r#C4hkvVvx&PbyKWVpI96;IM
z^E#_PAh@1exS7*YrMdqH@Sp3nxo+)^Oj_{O6P74`dT)d8_Yd?UO?b|BK6hUh&cB>B
z-`%)t-{1TFw_?pEC~o}sYaoB<{e$1%#1a>fvOI@|@@rqxb6)@==j;bxT6-NO-2oXI
z!x9F}e|JvaBn`bf^fVh#?{L)DUj}^7IaHM-O6VfW+O=2nd!@T}+`k8%Z6UpGB_&%L
z9v*g{bwS{F+!}@Imn>ZOFL-Q9>pl}7^5855nlN|s+jUk?oQ<&RKO&$t-QDbYuQKSm
zf;hnwM(TZifaVEgQZ9Z;+#WIyn(5#C*9&lGXKQ-^RS|nCbn@$Y_%&2PXN(lMY-Ht<
z|8Bqo`uc=`GQ)T9DJj`=WE$+&W2xCLu0O2{)|^NoSX{V0t=7F-hC>tB|AXf3VraOE
zcDIivbexWMGj4q|4npUMkRv$I=Y2Eb?U`<d{qIHC>Vp<bs8ESXk>^T;#A#iu=C2fi
z&$oO)!lhZWa10#zTL&Vjjm6N68hSVFCje(dWkx`sfQ6Nn*X2l>*D~Qk%>>Sz#%>?R
zIU!Qp{_WM?9S~jdKK(mIxVv92bX5)xgZ7r()>KuUZmBk3KBkxZcQu`3j|J~G!ucN)
z%CmJkV$b&>-=bk56m@^<W29DpajK}Q>P~L`GnQ(E^;w{;GBnYAdvbNQht~FE&T7FM
zyk(azenFrVv|zIiRc%HSJYPIKv_pRc<g#!|Tsm~GJ3vByaIJg}UM|@Zg5W+3q{d+r
zQ)e06CTV!rsvQBw!qxnl;0SjE5SJ5chi*dE>V{?FJ>hnc$icRNJ01hFKDv|5-rnes
zKum=SGE9t*r*0OWuAt0DK<|5ey2NwG90EEEeE;WN+1B%c)2~1j=(3B%{qI&RV=r)c
z0FR#<d!HJM%i|yIBs(4~bwJPlPVCO^I0=D9QBNRu<i3#}Ab7L+mYI=JfK<HG*5i0%
z$f}wjAEjbE0F}7zavW@N`k0=<o7usa*ZXZylbSzkI_sC<E8*`1k~rQ7KDsw!x}KMD
zK+ERt1ge;{<|=q+3tFrG1d!fB6*`)4W}0vE(=PM3o#qSKZ6xa8Bo-4c{AZx{;#jYp
zJqjX60bUK|zco)upV?^wEv(*uOS>w@t$`v^^LYm|I7e?`X?X*+kG-4uJ#B6^9wJoT
zgJ4x?0RWW3!f!Xin}DJb&<Ih?mGj*HNE*6)E)6tzlID+dj1$SOU%E~8>Qn)vfU37Z
zepFOcIDPRx2bv!~)r~urkRMG=UTq}r(S)v9*d^qTkA&`yCK@YiYcIyDn@&K#0_dnV
z25q;er>9UECjgiz-^`zPa;Jjw3NA04a~3~Ki}yi@u1CMQ&Qbnb&w`nqfoiaM?)7!*
z=TBZh&SP{hV$7`t?;`;)ZTmBD-t*}C;wbPu2%N@-p2mmXPR*PZSc>ak;n%;Q%1<Rl
zMcVw=x2b0h>&KfTz{+}cZx4a?kM#oZHQ=!)OZE3W*7-?YS1__i@qkuU^F>ngR1};m
za20L~o@X#EZD>LsbDDkE5#b(>AmCkaD;JJ!&x7UykSqZSB0Lh0{Z;_dfP%$gY_-Q}
zdD_!98?L0r^_P3KPV1T%D6?U^Es()JAd+==?9bhhK4;ZstCg<=c8kz?D;nkyc-};z
zn-QV8e;)r6dUdu{_0>?g7dB)bNMSAfcvZLVs;Y|?(B{hJwdcOz4lHc@^m>T&W@w^u
z*AcQ0)jM+iey-l1+jV!daOYVvQSWpGH5#BCLz4O)D0(#PdG48WJe#np-D|p9%e+au
z9L)ub;jvug4R6Kotmo5wHt!DgSOVvZ9|77`ky>?a0^K6e>)#6%0Rsm|`6nLV$81Df
z=^x`7=4qQ4N(T;Uz<I2DPIz4ac_secYoPT-E~^M}0dp<f+lY05gcI13O@}c_>PvSW
z%s0c#7fs;&0MsFyR|_5g7KPY=ry;#6C3U~dMYknsC}D5Tl*jIXDk@#XYTlvDI_<Vl
zJM|kKY45pBc>ILIQDEjve6FcLAO@T^aK&QNmnomp($P8f^e&OEA4?JRbh};hMIbp3
z;}^PEi8{i2OX|@y4$dK+=}bE3j+x!`4PN)r2p$9lkhpD301vxPi14u$Dn12q+16YL
z4t#qz+S3EdX0Df~Kn=?Hb_wX?9pP2q64dO>`rdcKgPS;z>0CZYU^nI(a3E&oAtTG)
zKiu5y$PS@-oBDlX+g*E+$&%w)zwRtctIqnC%pnLdg1uG~g6wxc-DhUzPoWkIpr+^X
zki=f|ofqW%yh|uGCx85s352t!LJBY9(mbzR1X7!8m<C#Q#0R1uo|_q0JvN2U(QJFR
zWv#va2*He)m7c_65WL@#>)&WMzu7z3VIZpfbzi!cw@F~V>k5qzp&pINT}AhzN0mg-
z<NWVbIoiwP-)Yy~X)V=jgTPsq=%}mL{*lNT*?d|J27+9K6gqQTg|OSW*TSXwLfHx6
z(Pw|JfzL&geXK9SYJZB2C%Zs1R`J<S=t-vlRppc`IPZyR_cYH=85(=Uqpv<4e+nKm
zpo)iRm4<&)>6k9?+=@{t%5GG3w=`$)o1QNeU<#b?+N=_H?=aJ>M6#q)5ThmgC`rcZ
z`>C(Ho0s<p5REss9750FMS0Nu_tw#PjCUMQ-Oko1(e`u{>utmeCZ_8g8FJc5TfzQi
zXRflGIZcSU>im+{XWu}epAfSZ%dBgK-#L)N52QzA0(6_g0uz&xt}Z9hloS=CT!*T6
zCg^Mt<d`HEK|3*!2f_yWMqw2qZtel~rE|Mm=-P7`xuOn^yy-7g3n{_WoO%FGK$(ey
zgTukmkvEKelsrxA1(1O0<2y>w9uNBq1jYuHyg)xmn7cthg!;tdue-471+V%H+Lte1
zdS5S-vd`^_i;D+nI)w#hMJJ@JTy^&)PjKw~L}u=bPDXKF<oNjLe$3BesNRedMFbhO
zWtk}3ho}^~IE80FH!AAuwJnF!V{@u*98<2Gsw*oicc#kMZI-hKWgb6%3_ZpXxB(4(
zq__J49~p?^>48P}aU4RG^gx8UbN+>uqmbW3wGbBY^QQ>K*6uDB%Ce1PPj9dBK=K>0
zL4hL~qo@W=>&BCon|;*N-=b(I{nmqd`T4FutS-m|AOlYZy8m^XGVf=c!p9@Nz9D~%
z@g`CM2}ppgNMgj<elVC45u2+^AvAZKKKl$L+mocS{rUEzel3R!0qe7&TLo%9P<F>^
zx`GZf=u_LD{v>Xp%Z<$CuJCHh`jSH^We6AqDLU(>i#7h;8vUK=N^n-NRLufN99TCT
zbXGUt?DX{XEZp6mbumvPzo_vEw3zV%XsE8Pj*Sq3WS0D{-`XoG@b+?|*~!rnV~E&!
z*7lP<@OB_}Nx!IFNpYSJdYuWb36Mz%&=5aVqF+66gKkAQ2DByA(eZJsb0twx(Ht9a
zLelede}8|MhrXP$T03-b4`eYEq*Kw6_zA<;S&~N74bl{^#c;XZ)l`cW@j0Kf(SK|u
zTQ@USESZ?$0#q@1=yet*3jD-(^&=3EUBLx`${7@1>5`<|d3oI?a+*W;?swhhTX4G4
z<<Dn4)Z)zTOIzgF9GL_*fLzZ2W{Qv?aRtxE_Srbi)2W&F8VE8uy1GK?l(pwk)Utd(
zd8MVLp+@EnR2KV>XU+~>1WKAN&6-Pk$aY(x_?k$d?$7Cr^`869;zzVo?cN0Vm*BWL
z_~Z)F83H$DvE5%o`9>kQ>2C@Kt1NnySUXP6`IoF`!PyjiXACm3l$Z&`%jEi_dGeao
zR-QmCsibbJATknDb|g4Bcz}03xqh$79W2xhmv~`bo*ED{-1EM>BD8L>Z4bmC36~hD
zh>VOh9m%;l&K0`ZZ$n$}PjbE%F$`_IIh}z%p}KL(>d^(N>Q0O7a@g!mYQ&pg&ET~}
z$Hmoa6@#ysv8uQ13M0NzxC~8igv%xH7pF$c&B-wWXPLw}+)w{b=(t<vwcT%Je994y
zq{Kvu2uWvW=^k7Kq*uccatb+a20ToPS%^77M6v9{B>4sMohX|oKfgPeTP2~4iPqMF
zGaf?R+|_w`lJe2%O=Q2Cpzj>u*NDM&@Sgc+Uz|AuFaVl{Xk-&B0JDQdL}H+a_!9aK
zTQ>V_lP@nX!@}meDXT}SCa|c>f`~q7pswqbH%M%5rCTXudCf?)^F}4&mKl^5y&l1i
zZQtQYFtVnU32G0t;eqm9;a%*bagV1cvpo(v@Pan{39WdvPEl##DF3ZfIXEvrKR<6E
zQaX~;HB!LWpR9n2<;VUR$^KY@4LLscRI)O9Q(?#U(~MlW{Fu%h4z5VdFcl@9U-odp
z(0pFL3R^-lhiT-@4#^h7$L|-*q<3n%x^Kmt=Nu>Ab-_yb{qsH!xJaMf-1#lq?CLe=
zEYK7!$d#4ZG$kXot;Rk~(~dn$&HSwGR=B(M_e*LUc2brZGIxa1Se}#uW_b~jL=B4K
z_Ev#rV_oLAZ{G@l5?UJz4-RjbzWO+jX9QbbhobIySQ;u5istyvhVq~9mD9{I1%=zL
zKXv?nGvr?5V%S<q<(nu(h{;e>hVWu5#Z+|7Z6Go)SD^=^lf>Z;RRr#u8PAdp%dp4G
z;Sn0;TW%-QWDbR$Y`eb(HH!B?KlM$!*ua7vC0LGeW1PtEybA?zD}2vihnkq0b~k{g
zP$(P@;}ql>_<FBy2T88_gdVm$*&V%vf%Fy~BZ89RwO>u!8}zBr4s8udbXICh{ucEf
z+|MtVmTb9e=dP~o>}8*to1saUIn)J8nwfo)9G{SGV*!sGwyk6Gn<hcVsI$&HXJB9e
zCY7C;dGGpYP`AeB&q{YxI5`Io#{Yb)k}{5n$E6%PM(JB8&%5aB<EJzfblM7TLD=GN
zh~gWKO*Gn9w`6id-W0r0<<{rIaCC?-D3FV1NnbcMwGq&=?Z8o=mG}-IcHS1VdYM6Y
zB-NA|F+7ZrKGZBBxlGE++Ar{&-Gju5HdWMv1KHf0jc>_vB!`*!Ckjt6qr`?Wp6OTR
z_@nW@&{1rwE9_<Ym^>AXX{b_cT5y%LC6fM*1)qq^Le0u*H>gp}haHi0>;A%!MV^AZ
zJTi*s%6i=&E_1VzF<4tYxmMZMYP9AkdDr11GU!=5cRs$Q3Nm(^BZw+^ri`s9KO9OJ
zX0ucZd@wZS`#4wcY+M?G4?+F(pXI4&Xlxx_)D%mnMmfEX7{v$6&`C^X!t<PoJ&(3A
z@mWNB;3pf0-T|DSCxg#-f&wFyvVR9jDx(aHgi1<LM24!jyYQtXNu6+Ta_-F5V(|*J
z9Qgcq?N0pqML%Tx<s3zNm-mqavO{7YWhIB&D~OCIS3{>r8rv$66!IhT9kMCcct}R*
zu|;~1hp|}caL66V6HFgJE&sK;^>tWW2Jz1a8Ct2}BaU^`F585hsmV!~il{;uJu(*1
zSpq(b9P4LSP(5ZQ%__AF$`NBZN_?ypTCw&RhiTg99}>cx2OdYDhw(=cE!%Rl-F827
zQLr1K=jitsc$!x7O3EmaH!LbQA4B{Ny_6q@de}m#r@wlY=arMVJc!f*hh;Ew{Qqql
zZz?J(po6&?M$8ZTxp`GT>516LB2PIrSw0SWLP1WYh@&`>#L0;nluGlalsHW~#KsD#
zm6&Ft3@$b$j&QOw!4$vMz$~<&UAx#R&6!kR1hG0P%M_l#e)#o8ER!Z?P<xH-vj62U
zj2!8I7zt4@%^GwDiUbxH7r&z&otjFJDM*a{5WN<>!^0PmzMu6qaV;1duXq#5vy}sx
zxIQVKl468$an_+eiFh-tv(Tbmn1`f)Zs~~YnCVMbAV*PLUV`MCY-!+M9kodTIC!VS
z)nfYS36RnPPL<%3y^aF(!)CkG4y>lp{p^{4E581yQT#<RVOS<jWM*TkXRDuM#5}SE
zO+cW1>TpGT^v^ORnM@_g&siDu{0*r&Z_Cg6bR*dVz>2YU22*tdFP)J=0etPJI24;{
zVOSsq1%cT3(}Us%0|S_Qci^Jca{y$$BWxrkXR6?WR(J-mUKGu+NMUzii`ahJ<$2Nh
zXgx9_z1EF~o%gMg995QxSm+aS9t^sIO*_XVqxX!a;8w#3*o|mQuofMB|HE{+h>u`>
zAs9H=*dEuV^K*@J9G?w0#atEG$hDEAZK;Y1S!WKA|LFHE35cit#p()@l=_?{MM+Se
zeJqv#)gU(JEoGnqP?CM8L-Ic_2!f7LJGc7;iyBB;0u&`l`2pYGl2Czdgz;-6kTNAA
z$0pYby-=d+SL-XY=j4=X52Rd<MSnrAE!Kxo7p)}~+5QP#L8^1oSONl(__qlmg6XEy
zpe2@po?aneiHB%+2Z)7_lzmsC7mv=|c4Ne~CsIU|Moi)7)2~{ZX~PKt#yn#ypimH&
zIpgFb$u<z=`5~_aWzpf^#)I5~!H4%U392e8e1Mk>18NBw=n>I&6UEv<3MEPb@edIC
zWYpOiu2-TGr~LezxXU_TJV#wvEOaWAwRu5k6z`Eu;=gr*1dPSi8MAa!%O-MoobLlT
z?%?F~%!nYu=2KjR-Yka5^AE8&28>MIhVoYGuRsXWLtIASNg=yejfMDRVj(^n5W4fA
zGc-0{M<DgkOQZtNPpKdID<U#5pX-8G)z01?r1SxNIy{lUm4oYBOjm3I-%Yxuw#fe9
zWm@$@W1^$`K%YZxtt)tpuw}I>%C*RL{G%AWwUxECuxFe|Sc@=ak00z9LKOAB%^#dg
zaCC4uK0cnTDgq)b+x@-0479Yur(TCwhjGob)6>sT-~;&3&n^D#wM8|$U<DoMM{v{^
zg|)YA>7d3?J(Ly5s-IoGy_LWh0>^{=`5xiZ{=)~5E-AzzaI|G)<axHmMj+PE24-`P
zDWJkHE-plgiIb_%-+^;y_ttKPB?8izPa^5zGgzc&Ea`YW#n+cs#&7Li?rv|iwYAkP
zfR3{^GA?60m!*cGVRrF0=m@?%-h?9MKd@Io6_6h^!~*cAJpt^b353!Y>SdHMQYT~i
z1qB~ME$16*OR|3a_{w^E&_xO;1kZtFUXc2L#(~3??zciW$KO6~@~?M(Ap~c?v=tP7
z@_L_68JF8i50Gs<tQ3TYnwXfl+n}szrmQi$U2w|rt%=tf{!`+)&`JbYnCh97n5wnG
zv}U_isgemzd3jdX!xix8V59(033mf1v^SQC|A!GpM9uBx_JZp=F$Fyn(@QWv2uR8R
z3^xbz2WwR=TXALOu?Rwqa-;s2XS1SW03Lt=sia=#e;Qnmre|in52MmhDB?qf0P_LO
zH9n&o8X9^v-%ajy{ttSFe5A=n`7Clm{6rJ&)Nn72NWq~iMstB=dv|w0#lCvpZ5vEe
zT0U^GwA{&&O#&6Cc|d?-Jbx{4b36isiUoeGK}nj%qXB;4&G#CP<TN#Bpi1mHIXS?`
z(xkdj(9o>26V?GuTY#V@=H`GC+%@4y?4H46(f|&aH&Bla$g<xq$7))cT3asw#*>Gr
z2^6HlPMnh8|AQG26dignVdLx4Zd{`=;#e<!NZ0a|*)I5#1U|<tU-M<z1U5r3a8&FV
zsDqy3?1F?E5YNd++zTG|ouLGtt02K#xY>0^D4Si3rc;EDQAit<5DP7Z4hS3@8;dn8
z(x}`r`M7D{`WR0DjG6${o>&$wk_rNk2ENF>hlQ}XR9Rw02q>M(iM7{I#^y&c`M>|J
zRckkrBMU5U(;+eNLn%In<y>85$-s6=vz!=MpAI0&DpaG=bW&tZd>+fnW!Mv)n3xDW
zc;?fbL2jVE9_6im8%2Qmpp@;?x(p<opS#8{D<GxQ2E5q|pP#NY2l>{_@UY!}I*3<i
zZosU?I6zMIikrh~w#JJJY!5MqMH4?5_z`1Zn;*jv5JflclL$!I=dNXPiZy(PJfhSo
z(@w#B`@g^@jQbPEz~$CcoWb9-5~0piF=h812W!TTsj@%&f;m(gDlg;`QQMb^M7KHw
zZ~w{ur~E6l`)~$nS)>b&jEWK^w(a;^Svl+djN%1x#}={n(%`tk9th-gxFP+?yhjPf
zsk}d~7k792*c>AyDH(Q1^jW?#{hu2Hl$w`&>}zpGLeZUvW%wu=jXFk^y5cEb($LUw
zb8|C11p}ophbl}*E@P}Gf28YngUm`?4Cqo0O4WDaqZlCn_qz0#>}mmC)>c+$$$2L~
ztZi1NEL~Y>WFS*YBP8SvvbHHR$q7daGm!iI_{|d9_j3;+@ufQ##tq0`r^*bat29U*
zz@7c`SCFunuH^)l_adN>;fm#-!dY-`pDFz!nZpj8R|C#ZUCa3fSQm8$u;kswv-#d=
z;D11RSPDM6{pACE+vA$nI3im1{hZ#nM`>3*?rv_l%sRj^x>0=ewP+>!x5$iop{wib
zq!W$(>wO9KL*jTvy3JnG6{c9!G9be8JN^Bt0G!dv0RP@!RabDEz>gHF6afyhNl8V8
z%VP2e$fDNPjL6%SRkb<47A=;8SMu2HfdhibJq^wPMtSJIaHRwGx~He7qT<Mys_qS_
zJm|Wv#vrJkUU*nH-<$#g`NGYSTtfd+fX&F;4db+{z_BsV-jTYfN5-JGKmz&wR#vvZ
zJqYWbIw@&9oqiVp_uzhwIgTH44hSR}_P-ta|HF^T{vf2`>jQaulG!d0<p}gajmy?4
z(@*~&NCD^-`@gUae*A{&_;ACJT(mY8#@-L1wR2YD^8S28JVpOPA>@~z4bSY<lqvq}
zH70#Vbj0Y`SWq%ae~KbU_}|92k;#e%1PUksaVJ)})K#qpRIPj#e8*QMu{}O9HU<=p
z8LKKmym^d_E0e@kR92=iaiYh<0}iRh>3X@6rR`|OS@kD!vK#f$($el<cqrz`T!0AV
z{^_md|1+{U;EMWX{>x+`i}3&zrKXY;9krFFZt%Rd&L$x(?kZ^fqo5ke=fuUuHC>fb
z1dStiAQwIdS}*%90-$~bvO^F@QbE=T!T`LBKMsS6Oq!r42q}PRp{Jvp0<gHBd*QkT
z4vnbn5YRV(r#S@F3c|-%vLk|^zT<kdb_0a{yR9Tyg#X(e@NcE2hK61d^Gnoa>R6q`
zuxET=!ckJpu#^CeSyhSkC*ztECAy%x1)wmu<@D(A@FB3daD3LK&D=DdTDw)@f&EO<
zn+>peOwG-&t`_d*fB)VemS)Z`xCE_7q=(CAU=RbiVUP+q@6ChbPwe?u8R8*){QTwk
zm?-G~ZTi;U?;7i>7HC3Z-0l&v)ESIn8O^J)nmKYQJ^0%UAPn>Xf+J`HD5MkpA}A;<
zO!GK=BRj%oeNV;hHADsCGHE#2tkNmw2!QrT!L;x|e0^xV0!22aUX4mKWv~D+KPj9Z
zEa#(fA~nY5-`^isIM--H8GHFwhFV!s^nnO#5|<_Dhmy*@yMyxslbTUimXFr@`B|o@
zGoaHK@^e!)s;#scagiUvB9L5y@{!}BX6Gb`J!WQRTie_Jw@0FE6Ct_Gi&nrq@Ro}Y
z@A%(dpW`dLlB((%0|B>HazR0rC9pX_|GD0vo)l_nXh?|xrYwZK74rUp$pKz^vrbNo
zZZq-_{f&o|iHMiN`ebEw^<W}rVRrT^a4WMlw)#9oRhF7k37cr7dP3f|wzkcf;_`m2
zWW;89KoD$C^(QY)MpH<?6j=X{o4$MCV7ImP;NT!Ba6cFY;uH~%+v6BR-_^_E35f6C
zQ%iUMs-3GqYV;yTS5!&P-36I>b%T<fij|d>%Cy^NcHD>3$-V?IF?%fmt~b0Ov%b9C
zemLt5LM%^M6t8IW!4VB3CH}X}ZQnb<^t%CW4v1B~O%<puE3*TY73o+;-dXk-kZ$V&
z=Q^QfFUz%bKNthT^Cl)PPO)44YNQFZciSV;Ap6twSEP30{v9Xd%j$4#OG_pUS+FN{
zFZ`bp!h1!6;Oj-@=;&BwX+MBQ!s7iw#1Doq_|a{49JI*ORAJZ~+Y|`^$~>s6;puwV
zii)<`20p!i#6|4IqYHmD(t#eqiT7@TQY#abM?zBAquF-L;_G!1$wFqMw6WQ|`w8ji
zAo)VTedZsbe(31~^3ZYXin~ZE>A(#TJxIjRJXFA!J~M%B_P)F2-)m4rY{jo%OEkx2
zRNJ51^Ku6Kq}Va2g)JX}qLgpYJv#?7Nh;7Q`Sa70)}XjL`oZ#Gn%=VVm(Q7LnVCuX
zoh%moExUIAUt*K(BFz+dB7hm=)CJN4K}{i*K$F8w>%U%rn_J)pP?W(+!==DATTGRS
zQM?j^y8Frrog}(zFb?N7ME80LLFoLIv-24k-qHauA;VGl0~EK(v8~m@!NKXO3<5P!
zEr%g-5U10)ET=y`!GiT|0hxVPG+4gwzpH}ipnQMbisrQsmbeZ$^2$oiC{w_&E~J6K
zeE0bg9LH~xbLB!6j3H2}x+-&~P{3ZT2cQkmvYHwi&%V4i?u$Qw4%n#q^yGd;Y&sRO
z4Z%)?meN7?3p$+vXIk8Jxdmlodl*WH&fkD$-zfFD?*NOImmm2dzc>f1`Vn}s9*AI*
ze+Zb}TGRuy>5z#7K#PD7eR*yIRvbrFtJHZ<M|(o`yIO>Lja8ffQ&3FKhU3ELsT>_0
zl}YA_2s8rHXw&8;PaSz4{6rVX7Fe*60F?Yf%<q(^@7s!Rg66@NK$+3DL&yzCbPynb
zqQpE)C}^PA1%q?CHGCfa62h|oNRXL1JP`OjG}ZT$Ki-4trj?^(rJ*{wqZ`mG5|aXX
z0CYey=ZS|A%LTyE;qP)QDjYymfzAvf>Z%1CbeiYs6yqbH<bD5vd%Kt`oAg?&8FVXz
zYZcYhoI`8quIni@pIo3N9!}__E9i$T!<S}1!EqD#rFmc^&nHmeKZ58nz^MB#*`f*B
z-L;~lQu)E}_>{x<zRP0Xb^Y<jR#1bEOH=3N=5`({P>$1fnqvKYKj8*kG))0P#}ULE
zxRSqTS70tjv(b3*zsvdPJ77P#9$HGiy189;_PW0Zh!1<0aKP_>@S+8Djy*tbhz-(z
zdGr6}N1Gm6Mn;2BPjJLclo%1kce&<%5(v0bGA00AL_uO8dng8-GwETEQIY?pu)<t`
z;t=Y9=Vu0Lm8GQzVDZFZz1c+nebd*+KvSTwkO4Pjs!CR@u6TWY9YjMYR^R}NCI97g
zDxeU?#KhznF&CMoL>blYcA=&(!b3#DX%^kP`fLmG$H6A}%l5+~@l3TZAAow}wB(mn
z?%|FnnJf`6r0_onz1$2J+?s_N7@grbp*Bd}LJ8QBkdQnC7eI9I0+XLe$`a8(0D}ax
zGz{OrPcPmE;1iU8BtVv-3oW0-vW`zqN{T^;gj|gR$HImK#!6M{wfceLgtCgtRvifn
zJWvF>1@%1Ro8U$E^ao-OpoxmADzDl4t{z!_tNN06v_Jc#H!(`y<EOvN1J)bDRIFCI
z1RdrAYC2hOqCl$0Wi{(^)X!}_Q?*mtMZ*6>gFdG2k3S*E37IGWj!59K{h+Nq2OUQR
zw%avm0*V*(<iq$vDs&4i*cO&FB}!5j*RCb{`T6x3g8<9U{Qs5n_AZIH8h_|Ir2SR)
z9r%J9fNM;wtwBXMfPW0yRP~CR^%JmEYPn=dG0+<8wNp6(;N1Ni=OIYQsRg;^bo-0v
z@dD?x<u&zP&Q2Gu`kkTOQuZLBOMeIIBEXwmf#FQGIi_OA;01Yu5`Ven6^N$^topBY
zSE1iAD0pQ7^6H~OAtA>tC5ke}?Q~FO2SsiGIRUsiIyz$Kln5gN%xMjXgZ2Zwxw;`>
z^a1Hhw_~t^`1%QvPYJnZ9Y$n<48cv}$7Rd?m;2CanH7NDz#s;{y9QG~R74<Y-7F{+
zn29_q^7&8Ruqo1nJOGyNrqIi^Bx@Z|gHn9^veINIqbalwG_8P{Hb-ua&;lZ~V*EKV
zhe@Mi16mmXi=+z*Z(!WDw~=P`tetdoBmg*!+I0@&-_^mW0t(D?EYq(~uE&csLH-wW
zfeQ|Zg97EHN7HwBcw^d`Dv;na;<C$**e3T85dzL?pB<6h&CQL?ST7WW^@aw4=7oi`
znfpjc7Q*&Cf{NJ5gnhY-WB=kSG^^jctA?UC=*?Qq)u}N8t}t)|4BASGwu7eMQ|@U=
zR&|>Ib7}#57shm<VEbPfYD5e>q$AK|d%S3>mIOck74<%d6&xsS>qjpE%fLPFqHi<_
z-|{V6As;Z4HlXDvfT>sEZ?s4ig=|W4BkyxqUtvQ-D*e7HOYI4uafeooBf*wnVPR3h
z7{cddBsDDdC$bzwBftulK5S(JZKKbwR-|seHfuJR(I?6qSJZiD|2KRkR-xa8N>NZ!
z(!5hObEynkk0>*ILvyJ!fGY<z`Dy^B7DdzFZEWZVv=SP?HaqQTP`Ck~1novJ;w0h0
z+L^1b&d+}nzAMY~;zL8rCV8Y-XoQS?^Iyx&&?|m^er4r;0eS`O?7Tb^0LeU`)LPDf
z93L~NqPlv!lsfIhV~%tNnRV3XTYsl9wimBH{Tgq04z+Y2!Mfsltrt`Uc8VA;au?(|
zHz_h?;#_cX@bJzU<guynQJfqc3@$r^z_rkaKnP|_xNeQ?7L}Ra%LVcXz#>Z3{sJ6$
z4SEq-y{^xN$-dD_fw&jXst*8e)wWM2`>#h$)zxu<#h^m^9Ujg&8O#^}jUFe*$CA$z
z4P0x>Mpm=zi{z?h-n^;GI4cmR9tkoiCOG76eDQ*DH>_;dDYve=`mEt-V1$DSH-wXu
z6Re!1ad|}%_R+~?umk?{;TjwEdZiHenn+2?pMPu?=pSIDdMiEy9UZG|d9ibKLKN<0
zF7lA{FlJriC^fcB-!A5{7?dwE9nON2ChF=w4mf+s_)A926Lg5}Hs9U8;s%8|W{{16
zh8Dr2K6ZrI%so#@6gFQVpJQoe_A~1P4=(U@RaGigd&lglMkFCMtpdrstd%}fbG35S
z;yLt1ff}?y2;X-_>gRGNU(Che7KcCI++7LOuAc=Xgv?D$HY{%@WBV*$qvWiszYMN$
zNQhNPoHe%@6qHZQj87d1|LG<4kf!{qyS~2e>)Q{1?*54)iyoiV$c}pIlV8wti7=%x
zM(agwMMe9I)i_c$1yxn!8Lo8?U;qh`Z=$Fh!N@p(ph$l`L5rLHUp&a4ypR6+P8+Vz
z(&);E7XkHH{tPAgm76=5R5bN`+9}V#{{7>>shH*YKfez;iiFaBk8!Sfjm}z)#msqH
zCoWKoJDDXJsUXG8PV>v(XNUwfV0&vzgy|$l$>TNun+Rh^oXMRSBkj^DH8ZZ*_$#SC
zPuI<x_g%!LS_umU_x@EK@ZVe?+5^j_21xcwQWsM>=3m-+Se;xv7Zd_i(sJqIS(#z)
zB~xg%K{qBv-T6|;mD^%T{VreUBxuTTtRX)}ICK#Zi<Zj1jM)Ym%0HA`3TOv?L{fOD
zd%8JWNQ;UpxB2r^j3Q#rXHiCP<`lHW<mu;1P+D}u$<@q$CykjG6s*nXJGh-3MS$Tq
zuy52XB%>(78WEe;vufp}h!nw$cy06|gf}R4U_j0&`*7sSk)~VHEoEM-P!Yp_BIrWQ
zx_BhT*g1}nbp2V;6A9q`*(vUk2mbfj*;$}T1oGK%0OG)sfOPqppohzNTuJZb1BNzE
zG+Ns^T<v8Soh5Zy^ljpU;xDWE9j-20qk-fLzyJ})@9)hwUO__!7*2U9#l`@dlN#%E
zML|BniUDX^duSCohY}lU&Se=y2+-wJxA+S_p(UJveGT-LfWd{0E0NLwi)oXiHm;Mm
zv}Q#Ua#={8I2DGOvd%FqJy+y!lnd>B+axYX!#0~|8|0vIkXsuU@$MJ(2PdP>u3S-f
zhXg0d6PhFkHV)JHJ|@XGd9Lnr#+4h({Ms>;pC^LA%kY`Q`q36<@IcD>EX$5?luT?N
zxbTn~RB=Lqx>lLN8&lIwaXf7fa4Z>07FAjPht++@Qr))l0gf%MtaJq41Q6rUwh!n)
zN^D$QXiFfV5D*6Rp)yz)H~RrX-@*75=-#aVTL$`OQUU=ghw@%jQQc6)0vc{X=mI$e
zl$K)lItW>IcC_L7m>gs~u5OGGkz+~<dJ_RZ6&n?$sG{Oj<4O#O4I&R8o9X=g{LP)6
z)piax3%ga`lscKj6^y@8RI9bo!4=5gxjwo_Nm>0ibBqs((4!0rEPd;R_N<SI($>x*
zpDJFccm*N(haP=|47;~vp~-NebpK_KLs1AyNg!*a|9g}v!+V=B0Ea>CUx0C&;vu+}
z(-qw;p`cl35juH~sd{#}ByncP>tsxI0jwl=1@D2En5nYt?d~Q3i83@%1@Oek=(RBv
z3^X=2-hqD7a)3}kRR(<sEcIKl2eJ;@+Z>F;0B8YZBqV4811dW|zI|I1(_uFF;e|y5
ze_5KT-ehGXi&6^`SRm4iIRrZ3blrC<(^1zsBBZjRz+KqPTc(@2OcUpQY@$0DJ)+QU
z8y~y;Ny!v5qE&!yZDu>=yJY?B>`Yd;F=bC*qpQ^PjzW+mrse9oV}YR;O(a<wJxX)n
zissIRQ?4c@<FH%Ba9|<hfc;TX80%)yOAYa&b=``FGBD}WA#d*?A8FA;DMPpgqe`8e
zmVMZL(U&sA1<Q8co(5OMOOuOAMTXWJ(05nVL?-E<v0z5x8%G9OtWB4Mv)9&-PWA?2
zuSQv0&@jlok+qX$kIFiSm3vz&pS1m{QBH|m6SLQu&pmm!arX^IQQioFl^rui_Q)p4
z<3J-#)6<oQ@0Y{*D6`1UKm<z^13Gd|IHVME;^Xk`<BjaXyBqy#sAaw+;Ep^ui=bzE
z%~rg^CnLQttk8Wj^M0VFjib{r^7w_$DAmzOF)SE9df-w2d|?-nr!ly~GKY23pfdnl
zt>}FvPw`51?dy8O;0PP_h%jPrOVfNL_>W=Bl60K1V40u5e^g(Xd`Mf!>c3XBJfZls
z@%OJoWaF#C5vHZs-}PfiXjDJV=uIjyBP7~+>@m%(5<Rr0iHjqM!O>O@$A}e~s@m6*
zITb9g+Lts~&+sm_US!w%N9}w)4y>V;eM5;~{YEvr;}>~`53z!_ic~ji_crDx$5BW8
z#9yoMvkJVtoRAr=Ql)Nn&<X}r!}eyZAMR$65|l&bzKT&`gm>8&p@tKqPBXoDPkF-&
zfAp!s?!))V$@N&eRwe4s-6w(OF2M*Krnu8ZhOb5I&Bb!fDMxOssx{@KwMweX%Ge?#
z9nMDCHYJw|I0&A+3a0FMFM~e#-GwG$3HN~V%>1WJ-i50Z4W5e9)5I0lM@cK&tD$uw
zN$y00g5;fH#7R>(nD^mhk<#J&6AxN!4RAiG&T$(kx#5L$08j=_5`sk4sh6o*PhEuP
z9a}<$C4YdzMMe~czL>tE=C;7P#_Y)Mvy?SKWeu(ANIL4XPooOeGBNm1y$H}uS0l|y
zItaL&{{DF1#<LzIMv)-%ngXK}lyN^*yiv?ziWi}zi>kwVP7zW&JUf_;t~HXJwXk`>
zD<3CAIE$4&96oYk>{`!o{HYhya)-3)!Xr~6oMh|jfnBmO`S^A*I~t4u_S$bnP|P3o
zT?MS4M(KwR=$VI&%<y^ly~Zvg@?>f@_aEy$I$wyAYC5#7B8bwizjbi(ZPBBe8b<P9
zJddQGs&$HcD@HYv(a>VIx>lPY!UbgegT}{Ix@`0GjeF!>`SKC@i&i?v{Iqg4V{#}g
z-v~rCN-s5<MRaI|$`?<?s5B5yOKQK#8!nZU&l)qWkquw^AeWxFRW*CyGFxRS<A0xB
z`$UZ_+Q)z%@;eUzir7j(!a@TkrXW6AIyeV?x}$S*DKgZ}M=5)t0hCGY2bpyG&wN>+
zpzXmNMIll8Qvok)T7lN!DYv<-xvt;3Q{C$<9B;=%&t~E$^*xb{5;k8XRr2IZcIT`&
za!hv@n$sLTqH~|Y%*pUeeIY)^Cl`-r<(#CW@9k?Ws33R}z!6Z$R6GQKM!&M6o+9pK
zAI0}3f-8=q<E0<Zo3cP>O}AQxZu|=zei;LN_<!s!5ARbpRX|VcQ@f`LxE?}J7Q9Up
zY_v9Zp<4w!H8gv)oT&nWkzOF5Y69&rWw^}AWe(cLp;K9G14kU}W~P3%M4h~EWD~t|
zt5tLU54QdSs>-bW1BTC`yFpqS4kcXz0@5JeAky7kN=So%bT=a1or08rbV~@*DJdxU
z?lUvb|6AX?UKWcrYw65z_Py`Duj^M=20gK9Q|nOHx1=58w{6H}v{@IegRhbO7&hYs
zh&r&sqEtrHJctx3b=kb4w6bkemEOT_B|G{#2vBDF4az>fR_AA7Bm*6@f5CVoLdQ!&
z+m{Ufb5b#78baZ}e#p@@*yrGx$vgkM!Fx@qW(3^e<Pd;w@8A3ljvzG$1OR-q!&SCG
zPQwmp9r#CTz=LIPb{ao<l9g@qf?1O`M;Mut?YOpeGK}FRImrUm2LkJ>wTl3{R4b==
zs*90Gr4PuO8j8JjeuZ|EKSVN!USJmZAz1m>QEl}leonMAj@`Ynv0OFtiCd-8#EeWg
zi9Y%4ew<*EtrS7Zn_;}icj(o}RtO$Vnf9Oq2chvYn6*69NZY0G&wB}p;2%bM0{{f+
zMo@RXS@M6JH*o{@_8Z_G_%e%h=GO&Og=Kd|Ywv}5>=^vnN3`FQ6f<NzsZ8-@NhzjG
zo3ZB}KV~>TiUaHO9*6n8+BqF~LzoE-3M`orRHm&@*qSpP6;Rym`%H8+I|K@KITTsi
zT>0~oT%P{aXc#%YTvXOBu0n5+V|!N~hHoqs+efeYxapvXO2aQ%N`aljN5dxb!+yK?
z?9IQZ-^S#x4e@!vL`d)E1wP;(Sj06qHDOny3ypIPva+%!M>qI4B~n+3Qjt2fpJOp5
zOk*0ZZuvKAWZ8;8mHsS@9#1%0=kKti$l}{&S1@2C&SqrO<R`;7c9B6O*`P14@VV8)
z;lypkqhOW9r7t^_fu#01IEK1Zq!WK=v`VvXT*fM&esOI_)+AJPG8$*AHxQ+x1)KR~
z&?AmLL(9nMn;_x8Lz`#aRvcTn2LU1_+8VE`t<60s;JlW-`jMssWeM@rtqrSxujL`&
z*@#7A<YWo@Yk>cJR4=-&u$!(YIDYzK+=Ly}nakmmj%*_V#Xd+sg9u>_*9UYdo8p6^
ztjaPNDeP{2FYb_H_~KWUrcD`y(cei&-x4b3KL5sCD6FEY%yG8dMdDsItx>`u-&*`h
zo`*nY{vkBcI`M?jibre#oh-a3ch`Tk;{4*`?WYa3bz1mt2ud2*9EhQRKm5{rRolQo
zWVWuC8T__zY@5yxfDG|!%<e=K_Wi+s-UI@O1RT0<gD?0mhIpMNGuZU21mf$wxCa?E
z`E1)Pc@|EX=tf#O6Ma?U<vy>fh!&<O4#rg8Lz$1<{VuXk0!mky3!U&=6t*<lWuyqo
z;tEFj@GW(UnayxuuoER#VTKGEPO`0O*Va+1@*k|**iQh~4azFD^?&AA2PF-I-xN&q
z&1-IH!S$p$`-=@~k%NkwHGpfxzqu@e&q)Vh+4U!4ucO7EKr(D)N398pM$=fJVEVDW
zJ+S4<Z~3TvB>4+F4B0i0&@F}`DUmm0N1Rip7hQ?&>#$k?e$_BNK_-`WJ()rTQHn#0
zGDZaYCW&`aa<qr?z?RDkj4*j2W!?-<GR@-W(gN=KV>#0S!YX<MX|WaM8X^vQrl#N3
z)`{WkDzuGG3;JAkk_Pq|?hl840Ac&CgN;ZU3ZM?)+gu00$=u8gFOUZS>g{FV{T1ju
z&VS!$yxstFYv%wf0g9i_&Q4%_f6{^9zaQ*=a&c>xcr56in7n?-!5{k7CvITXiFvIg
z`RTWTlAIq<ndMmN8UhB`xwLmpV&3Kh<pI&>5{3v;>o~<`nPjyK2JRN+gk)CzM4~L)
z@<t<`V=sbOX=#|*4?K7N!>zYgO3?x6e_3i4p3VyXQ&6b*MoAZzm5tQ1cQ~oOGWGcu
znw^~u3?={}<q{Bb#BxJ>4J?JgGWfJ+AxotckZvRJ2LKe_<>fou+poW4zVbOAVV>D<
zoY?gT1GlGI&?7YU^hhtT*0a7UFmFXCokz3a$Nc=`wJ;3AJqQKpO}WKNet~x^8WpMR
z4O_8dhc1UQYnwnBlY548OGb>srxHSK40F4Lq)66V^c}%gIl>PMQTr+yDI{rLdTevW
z>JCSm#d8Jm@~lvpB~X8=t^ad=2sM#~*8xS(Y<14b>SJs{4fB~O?tSU9467#oDVxT+
zI(5a2fgKSM5jch%9gWelA_n#kuu7svNpHHOgy8|Cujl*=8@O6MU)EGsc5cNz1w3G!
z%ftT*nbooqbfp6~!9oZ!CJ@f(=<Amq`f-tFi@&}bebSRXU?2LN+yYk=|HZ$|EJ*hY
z1e%Py*HmQYAPnK}-Dg78SOBD^(}y0(muP_Q0j@CNgIAqDf8Rgv*z;3W#l_!Oq1$gI
z+WB?lqKM8iT{4>dsSCfV_4Bt<g_)gpNk3^0hC!hs4fj_O0s%e7+n$923mRk0>1I4F
zB|bA_<6+zKByQRwV=2x}yFy~r_${q$gBMSY=%=IC4?inT`xAC&Q<scs+z$jpa>Eh8
zHtyvHS_)pTQ`XvXy3r%HF;9mcbHTa!&qKOkx-fXmmL*ldV*)4K+S-<mz48DPI%07S
zBvgL^=OPN$@hw}aMj3@u>-VabHM&Berw7f<{M=mESs!Li=lK`7^8<(y9@j^KHazhD
z@Kqpat_Y((gH}pYO)UXdQ(gVFGaXDi{*uDhW$Y{?GXUhsAcx`~(bUxeSZq#k%d(|`
z+T#~eZX_U?9)MV%Ur?~du%#LV_mRXPBLoADgE0`OgNAbn13&IPULi1NQ{re2$w}vl
z+M%ap10Mx2kDa)+sRYQUTK)^-jc_Mv-0{g^F4Ddr@9HcbUVdfA?`1<@XlJT8uARfj
z{9fk|Y@i17ZDfc}MZ)Zc*wf<FyPQZmjx@eDk4Qa@D_=|JklpqiX=OHs!9=@Uxz8LL
z94F1`Cj=vu%*nIoT5f+-oN>J?4!H0C<!=_7sbU7SV3@eWYrI5-W-~U`D}*>m^(nn@
zyxQK$sT;J@fSpp;(vp@29cKqXjanR6yj-?HL3#t$7JPCzi(0CZqbQwf39M4j<Hhgx
zUI?yg85(Bg<prLV0uM<dFp^jR3JGj%VA2%d&33=jZUr>{W52xufF567p*bzqe*ci=
z<Od8ia7GYFLM^rxznka}8v{DkYvzR@)o<Sop9Br?2!S+EZwik)$Nj^57gs~ubt?11
zPtCyY;2)Bt*U#1Lur$3g!^kir6B3y*Mm+tc*udDPC6(gwBR$7kS*23(a$R(TZ^vBP
z1m?=`${#-Fys{C{|5k)fuNxYo6SETMHmF?9oMO}>zxXX>BYG&BhfLKykAWvcg~9VZ
zyN47tbEf{x*DYytMR9W@H2f&(`m0eQ___O40!)}x+$a7@E7x*YJUlz1Xb2W)ZT;_q
zciQL`fFvvd&nN;uIk=_&q|^kIyxLw~UIsPX*TbvspMw;y?=SwpKz3ZZSVO0_l2;=D
z?@tAT73}9L0lI^a{^zH=i1#y)k<$UU!8QTWq>m`j1fKyp*aI;00eR1Js)eW|#S%~n
zP`;B@K%-MhJb#Bn=O(Yngx$r`blNYFS5seq9va3_@~zQUlW$tnqS+@Wa$=vcFqt5d
z6<N%#Ou;XAW_;v3!<X1_8fQjX4Gl$fkG&$1m-Jh9Z@PAm(hWB7qqw6ujL9B--m>ea
ziDw;io0|Oa&Lfi0oSOLqhIwmURwSiH6a&6FgAlp``yeLe2a=EB(=TVfU(x*ojt5B+
zO5x!@`^N4K6IK{<t)HG>aqf8`4fK+*Cr_T${sHGA8z7?{9mQ(T{tx0ujj!(6|B$r?
zm<WFRc`VLgX1abZ9WeSGAUr?@IJOm~$1W=kj5k!@&`oJnR*)WmLZTfkR7o<B<^h5W
zq&CL@Wd`W2z!qM(DL%LaHC~<LiogutTOE6Yk)Ka#^Qh2;Og{<XtMYosW=HC*efwsl
zuKwwkCXH9rAft?AU~uhy8ScdqConU`T140*?emoVko7h0-rKZruWxH~bc0#A@5`H!
zz|^Zgs|DEZP^GTXw~?2M#_Z#061zDhmUAhN4f5Rx7o%jm#2X}TcJmYkM;d-(jKWus
z{yj7HNE@S2QL@dfJtIc|Ylbhvg7qI1A{&JV(V(iI{mC{L6WPRk{sNFG%s}0ze!F}f
zihsQRBzV2f92I|VVPV~C#qs{Y+slhU-QE3Sqff8H3uye^0k@4KPJ|JL;;lj&8T{s*
zqLLEt6LNC$PGjfwm0&=AJv(TP8wbP<95#e)!>wh2=3$Gj2bY+AO_vvtAh)b~8Cs!7
z%oytGE`YztG0Mt+<I40}$30_7%|^gbS(T*?cA}epta`-*^Ed0x&CMlj*6#($RhSz7
z5jx>pDgV;~l-PsiljWJ=R*`mkkGAX>JL2`4kA8aCC5k95B#Gt&i?YEON2~E>Txr-V
zrEp><&2Kdc9E@etn;Kk9jyv@kveFt;AwTcAn`kOicNPnRX0{0WtTG2YBW%^H)OZFs
z62($`7E|cxM(h7ojrDH$h*Ha_Cq~<Gf1sMhU9Ygw_~LMk0z^bnAB&5BY&=JO1iE>;
z<vMdYrle<jJQ<YISYY5D;E<vR%zy-D7ap7ft_q;2l~D(42Dm0*)S>x`4zvVF-9<(8
z7j(Sh#iz$3wx2?f<F>xJ^kc&_6LMi>AZ!sJZh&q33oZx%?Ck?_0O>MXd<7urK*l`g
zccQG{qp{(fx+R9i7~>==QfaVpf#NTTia7KbnZK)wI~v><qZBr%h7_2Rj7@i*=3ofN
z7XNBQ&3%6svqr7IyhHBD)1uhS;3m8;Rly(O$GCuXGL_D26b}R{sa~QMKGMo5aSS8!
z<YUJ!+G((){n%pqwi2H&)1Fl)<+3-$lpSmf=<c>dvnKK!FJQr;iAm0$%XDipjJ_H;
z$98|<XPb+nc`PvriC1jaWPPbsdWHt>@b|6g>8iHIpV~`zf4z1jdueCt-eU5mJoZ1T
z`+eH;jIGML6I>j?h6oT?;FlZ=-rn<n21Uv2eFDIM3#o-G#P!_J&7VG2R>MGug~R?>
z(CHg6oa<H@TmgbNyBfVSxgIcZ-Q8=>o=m=R>rp;3$?wlr#1hkK7<s!u<AI|&^NqrV
zE~jrybnq#(aO&fhP^L2PK35`>_YG^<hs_j?%&{u@A;y{V#y=|3NwS&0u?JQvRaoi`
z>FgBr*e-s#(W%T%V4wdm)Jf}0PyVdn;)bM24CYK0mk_z`vlunD4&f>tbE=-&P7Q@O
zof}u_CD^%&6{qelQwe*iN{vjVb1@2H(O*>kBSaw0E-Wkr5Llkts#*)PiJ=n=$y}kD
zp{+13OHD^-$E%}ZT1{J<7=Lbd_LA+96fjL*vjKzIG$5|q-`wAQYVvF~u2y~y1ipv5
z-QY0)#E*n1IEnNC_x|Ir<!UuMt!Ao}YHN4x6~^3AwSx;)r^>*SJg^Rwj{x7=ZE6SL
z&%UQ0BR+FM;()yTW{41T0s31aIx}UFSnic(Rb?MAfCf{EAg#EuebB>x`?C<ff*Hz9
zVlvLcH=cb@Ggf_L=2SH|DT7<;dm{}#?VDfs4=&Q)Wdhbjns0q8mt>fjnFs!av?`HH
z6RF2cN7vA4Q+N{d`!U(|UB>8T?kn)Gn^hxW{>naUo9g-8*mr+&P-{@Uf=<_`^A7>-
z!Y;H6D5;~py*(>-m}R3=yoeJ5zVFLwklg|5dk21xIc;4Iqt-K^1+oVRz6(`{vO>?7
z1<)M=*7*-$JB|Sn4P?i1E2%(hT&Tr5S0g&}8}L?MCIzOXAaGf1nQ6l&C%<G=rFaan
z0IVU^x2jD2*RB(}ViA8#*h%b#;O9`h_s69ac?KY3NU7H_eyZ3v($GO>E^S1>+m@AN
z!ocXN@L7Bnd(EOf*`rUVmQc!tX=bcpL9A?)Uzt|jLg1b9DP`)Krq!&!jOaiBQ=2H=
zf!8Ky29D78kiSD~Idb~OS`mmnE#=)SD`{(KOMU`_k|;zn`gG_~q`kE)EcgS@rQ=6G
zr4y#v%(DAQ^$F9WM^E`!xFWY?N6AUP4XJMp>gO4Q%<#^PUOrskblYpMu0O`z70iIn
z=31$JoOpF{VEA(V_ubXy{_m=C!;#L?725VNDN}%{O!jzkDhy<LetWn-arK;9F&jXl
zg4AkrZ8=5iV>B95h>4J&kcimENWHjZ-DzDujVg_H6K7`o?4vVRUrtgVYjLe8hRu)F
z&jr4Xhe^%B&{M-^2mLO;tMX?;?mj*~faC_UL$>rT#9rId9Iu12QV`w&^mbmDQ&6Dm
z5_JI&kV>EV6eui#^<gwcqsDjKz8fHbleG4~fz0y0F8;LxxI!jeYMib;hN!$L$q*p{
zK)wv0WzxX`B2hq<n30|?)GlcK$8Vya^>WUR81iNN{5=>@K>(SxYbyQI2k5=4Xtrt}
z9drNdP}5()8*5lK@@BhKn;(~N+aYdpUz-EL;k;f7Qvpf?@nY+OO2{SSeY)y2CuE>&
zS7xGXpsDYg`h0gLDfu2LrXjgvnM^y4MMU)RnUShn5E>dOy>=an+Nert(!{RV#M6!T
z?o-s`YmE@-=%PriXRrL=9>IAk%XVT(IE%G~V`O48yNeoZb*%g@yK8VaEZGSPfr_+i
zDq1~nnNaSb2sb4K-)v#-xf8p2bB1tgrZn%(9Z-M>i-`F3p)>#L?g7H9BvtX-Sl+L{
zKzNLw-mWSD8bEvl#rm&7pusTYOk1cjEKSZ#Pv1My{o4l;H?RcZ3>TP9@&FPxegN&p
z$?2)w=L$fegNvmVv^VhR0=TLW{{I5)VExk3b6hcLY51!I)L^&l-R|ZCguiqut_GgG
zaRruhpfsuh9Z<(pzPP#*+E7(}t<I;+PfC(Cs%Ir}dN2dlfde&=T7U#!Q`v{gSUMl6
zs(p`YkQu|RfY$HksiBTsM*<)8PBbf@uwMD)r2x<2t3NB*Fc&^Roa4lDP^S+M@d|72
zpLHTgLZbCCgdo?0nkMQwH`mgdSWwAri-9?D#Dq8S@w#wEPS9a-<M$gdh-4Ezfy3$j
zdYn{M(+g8c&RRX~s)E-iI%$PCqj>rG>A|UE>b*jYw-%BG#6>GzMbjn%z5gwEj~u8>
zy#L<c1YQ<BUhRJU8>p3qczDj?g1~>0Om4q=Q!g!fuEIYx81nMZs?Ov+cz_<F&B)2Z
z;s=luJO$2-SN8|H&-&l3orMeXk-vkNLqINkQf>BT_0Sj<l6?Ve*2i!)H0Xjv#KnPa
z1a9qyr}V7uYi#K^jWJvU>G1;ysd)ux*}EQ)T!$<0b$mPrP?~_61DP`sAb<rPiUW^i
z(xDk!m-UwMpd6AjjxI!lgyN}Ybm3xS=XlQRqrUPI$$|G<`k3wm9uxk%rUMAWBQjZZ
zG*k`A()J_9O_(One~kuN8WuKY<zz1qzrd^WP)a6jTq(?+*o|Kz1BsMz?oQlh5(LMj
zFOkL-+^Fm}$jJ~~5)<_)n`G3zqi~sRHBFf7mmE0R*)OlIK+5XG1w0A&SsnMBkwN*F
zR)7~DBW@zZ0q+6neqpxv$RiOg8+?<jM;C4iy!h&hh|Cg@X`O?mH_~9D)4%)P-o#|1
zA@Bak^qnBQ91{F?mV7?}WT;?qPcw#&a=8N2;o$^uv0%Kzgar>EG5?X=>OG}$jn1vB
zPtE8Bf3yxKMBpaT=M?K82gtMG#)xxa-y@Ns4L~ERVpp>#Yf<JO^w|4qNTwfuSXn%F
zDQ*C=sw42@7u+`o4l!RZGb1p-<q8nxo2KIhi_--aBKq2FBf`4PJFA|MT9c|o8%vMp
zg>&_z7p+W12Ql+#^p=u|thmlg_1o!Hv><3fi&eWqn_Bt9$9`C|=VDd$kc5HAwQpRJ
zQ(dQ7a|s<%!k+vImj;rE)0o(U(AdO;f9}G}3^+vCP)+7rM5zqgVOmB_5eJ<^AB5N{
zV5^)=?(zoo*7@A(x%`Ve10ttX(KmKKXean(aGwW!Sta>*1;NiA`&9j|O2g_6Z7}8P
zQ|iFL05}1OA>y|qssiNifS?p`6a%gSM@sl0AOal%Sj+Z{<A~)3Yg~xKx7MGe5tr<?
zO$P7~g(8;Nj7PP6^!pdzd=5V6ZU6O<dx)>Mv*laVPUXd}xC!bqog#N^kQ(OI<_?mu
zY1@8(#hl}zapN*<Zsp^nrwGgFZ&coI4hnrMHHjt>sjscwYqq1{bDq&x*&rY}^Z`ww
zK(V&LghQ0*=<n_9tQKi_z+Py{aQPm4VqDt-$Y|B-6+6ad_)SIC+MWa`3RE;M0<m26
zrXXulwU?L8()bXg1u-j`U)cZLK;ROJ8|1Ox=s?B=h|BBRZQwG=O?LC~`GxrS7X$*V
zf&YZ9<=rpk!D)Y^_Y#5bzyMabC8SQY3f`0maWhCz$4NUT#27?2QEnyVVw;izT%xF8
z9meQhee%O%AUFt;RZe{tpn3T%?>?#NQ-Ae|5Gx*$j3{AHgtW?s4c|53M)UXgkAJ<G
zqKJ$i#m9{q43nafn#4e&L$*=c;ZcJYBPs11^J7mH1-m9hroQDFHFYniw&89%Gbueq
zqLpUum`4>vC>@E(b@<GFyhkHxKW~63fiyN{YA{E6jLN=c(_?xgzSAX5e_BgPZ@J<{
zB%`X&{Rw^p!@sw@zra^O2J`pt-?+_xfJ*`z1P?wE^I=*7K~owKp;pF+^brf5)s(Y5
zfIi_m25v?%KY;v_M-XG6gnbPE)S8-_a|3N=JXvX&h(E<6{vc5@bTKV=F$EN}>_T1o
z#8e76)cK^Hho|?IcLtcVeZYU=pDZkudT)rHo?h){_!C9UYnv8QaYRS;kbJ_%($y^l
zWnPWn(<{`fU5&JUc*D~L2%IdNAB6}IO7wVk_y_u)SLv`(jHecm6je<Ud<;lM*H=_K
zvU$c<QEkUKR%Y;)*d8f}k4y4rBCnack;+b_;lzmG|9xt6vQ%Nj_3`PfaVyr8gJzFM
zbKdbtM+Z*)r}LrD2HP3QKm{-#2-1^$ff##8I4?cD73hCbG~fXIsPT2Z`Qzy?iis9h
zR^j`hP-MDSb>S~pC4+D#5Y-gtF3JxYltar%o_JmSaBKSmyrh59sczq}(3OMJ!LJMC
z_}cN81VhLRJJXD{62Ug%%0Z&j#ea*woNcCpCSQF*vmazlm&(+eUP4J0$q-#Q>`EEj
zJ`^4D#T?!HcmBTJV=_!G<j8FsEB3|rbDjt^;4hZ0VpFBoL_?v85V55%U!tF!OGpEt
zY})64`}_?qJ8upJH8n~QPy%_pQc+eu0)Bjm3OL%{zCO4Tfrv8mc7a!M8dSzHk?^1p
z@C9ryji7G;|3>V)cVaJ12iKom`H5lmCzqqLmjn~fNjdX~5uNH2ifSdhqd5#xZyAUX
z(I{Z|na!@R|IM~Ib)|d;EGaWHGsi!FUyi-qpZ8%kMk*xDPA_GhpG<D>?eYE-(p27m
zf#o49Xi!)z->6>z`@+wip3gXi&kC`~nD1681)(h|8Zah&Nn5R64hE!1pJs;Lh)q|_
z&9~c69FJ?zsp~xUE{rG|@Gt7i4VoeXj5k2q!Kyjtf7`pC>&*~{JIX`jj0(l$$A3FO
zCZDE?Fk{yEn_vBpQG(!Jx4OEwuR*Q|K7^E#68?%Cp88JsgI357+!NnGzz88BAuvP1
zdm?cV?FMp}cNub1ni?A|kd<ghe`r-PXOc$`y*$tBB-wgnjoDkCId{sEhlj2o9X2r{
z%8L)W?<bj^&&Cs>g0;!7Y8Lt!Z0iDgd9buHSP6X4sv%2+Dln@FA#;2s#?+XP>h=<i
zEME>jjN3{~BulfQy)M(oglLlBOB<^;@aN6&GqNL#vZaxJgzySTLsYGP#%ig$(OB#^
zYhUYgBJ!h%K(bmLzb5eh@8!N3;3514K&@55RgW1Us##cBIrKHIm_rEi?mB!KaShkm
zLpO?(R7CDr(ssvq;Y~DeUPZ?<|MIzm%}qL5O&d!KORgnmmZ+%`<^|2Y_cp2#+vJ7W
zF1mYq`CrkaB8S9hfn}2hZJG$nl$el4x~hqp0$I<XHvF)&biggEkP3}7Nca0|Of&5{
z>Yt*xkj8lpMd}s}QY&Af{9Oz+RHT?PfyFl!%koA88X_N2qn~EB(Bx=q%SDju_08a`
zy63ngG~);}QWi^hjGz1J+eV5b5l0#2GBX7W{{MYQcs3cl_ykAz8iPXn(r<We3-aZ}
zP@l4tIJIq)Kz{W<`_oU1KD!rPXyfKaK&}Z%PfDq*rr&=%w*d))5Z8v3H)@x$qHv&z
zRoDKNL9HOB<Xs)O2(a~jGVakQgG5vFF<Ht4W_QDgn%T+6tfSz8G=Odp?el}kz3p3!
z@nxY@!5PR${MFDg1$}}wblEyR`{87TK_MOD%x3s>|DB3s?)L7axd@#J{)Olq!w(G7
zLM9V*Z?hdm4<dueN_N~|>@61Y%O7W+XT|-5`TgJRJlZ@4A`8|)J(&w2B6vJqaWcTj
zpMn@Q+%6Ge;U$jiH$YiN<rq6iyR*ByRfejeP)dgamHdc?2a2;!yq~d5wJeGiso2~I
zP^n&bBYH^X(HfKvqhAfi80tc~JGp<)g;m62U}Th?o2yebAT_NRMu>%mr^VbHG&F{u
zoHbpQU4C20;;R@US4>5foDaM39n|ygEsPXnvM%s$$-68^Y_@|!@SA;`neOO2giM;`
za&SI>GOtWSv#U(djp4p%f6uVzk{~sdYd6Oc4+)DSshSG*31oly3afYqq*r%^tdsoj
zq>8nkI4AUhkWx{Bh{*N3<h1$fm;T^Yq#WNE)XdDyWs;!`trC&QPv;++=c`(K`@0L8
zZ-))T%S=bHI_yPA(C|t+F2a?7HPzOtm1#B3LnNdX67^E&#MHpi%U06IrJPtSn1R8y
z{ZYkW9+H9b;k^=3Q2RKB6k}|0(S5hYbO}U5=Id?e+#{IfO0xzAB!Lexnjh2Wl~npB
zmC_JY2s+v*t&f*1<1RXUs;WT_kw8>SO2hb>jZC0GXcnT<M+vR(#}uD{BH-P!D-G+H
z3yFx_WgoHscj3kodjp{?TwwPPD+W)UY>V4oSOoYKJl7KNN}c|ftv|C2gJZu6SrxJz
zc!*H0CRST|dQOX}Os2mGE-6~GV68g9@)*`2wr}OUJJ5LyWwj!fp<(SP{on@1p-*Jj
zfJ9m_GE%3aB-t$1vSBGWI2d50Z>bU)mO8whiDVqUzh_rMGoe)oi!Sw~XQD$Wuu!^$
z!c-%w9egKeS%M-Z`yj-6Sdlc5XwNIsBiYg9^z;XLsMHM#jX19LD)`04a}`Sx8K#yo
znpg&AWNi3+IR^u<@N79f^fWF!_ih#JQxK3q#ytv|Hm+W?6>c@U_Xq9gP+a{FrdKNZ
zhgpS!%xs=hgwa@XQpLaxy3(9?96$Eo`sAus17^mr>mkm&(;U?HU~$5R8P0lCGsiz@
zL_^saFyBu7N^U5CMI*YJzjo=7QD})TLe%vvwpQ|Borl=bS+%iWgAo6a(iQZYWKg3{
zY;G262KFTeKUWMv+xhu@0IpmFmfMrBYrqg3M%d#*%lR{||JEZ>Ne1)2Jtb8;(G`J?
z_EMVuhi#tag<aI!>ZtDaIb9ViXz*JtB!SQPzMjJ}bXlG<BcrF-7oN7}Y8+_mm=u0%
zCwSpyb9ElkBi~rYiOU3#c+vIHe>M~0N7?#!6^T?k=o8Va^&Lg?hZx*2&Y-&wb~!fV
za8M~)dFxd>VcYal3s>P&6bhOdW6-<%W&hLNgq!|phA&4{R1|P;tTUWVL=`D+fE<5t
zYzKl+OW@+Y?N*gmT{?za+NQn@2(iSOD;8Fk?`X}1EEY}9OUllhDbxOnO_s&yeqy$t
zUEbt_uYj50xo_o*1p(3WFhU=?Ww0j>qx{`n9l_+fc3W<Z;YXgX%>`+FcTPb-<fE*j
za<bZ?8@gemjVvgoi<k@vzk+JKk+DV!6|i}-^lGMy#Uo;SJ_2{nXQHz!TvH=KNg|V!
z<{-3`<XGErDoywM{joTSmd1}814(g9?~8-fdZwpaGo3v-#TxB%IhHLnbzEhpw#x>i
zEF&X|k{tS97FYsuuNoh}ErCXCc7c6Tr#xl^kw5&9T4<hPR*M&;NjJ5_&b@v3@A)4~
z{0K?1Voos;3IFB7`0hpa#jXg;)~)$1`XA7WzXds`RiFatX)aaR(2Y*kpk3%CYCxMT
zj0|pM!SH1YRraO`2*H6YwI`)CMf20qoNwC6T$b*7m3McSQZ_F+fKenwpDV7qMdO1I
zAzYKsTN4V-exk9ZOar)s@7c47LO&*b#ftE%w?Vs7sR)T3OYO9aLlU$w$T;-(c5pL`
zr}Wg+gH5OP^qNcWYGbjkZ#i`Mb*im?m$vhZGA+8n5U&n~!-}d!cTH69eQV!(+SL>G
z0ghCA8I`eg32aF8qUd7@jjj<7PJIuUi3qJlb}@5S%yoG)%NGl)w||3}KC})fxFr&v
z#29pv)?q>Lf>4O)R{)+>cRTyv`aD8_ZC_q`fH=-fCr?8^*?L}H-uwG|0LXl}Ost~=
z4e(!3qly9{cM%IhkTO%ln|nXa@!zB%Yg>XGLeQ91I3|y-A*`LmVzy&z0_j!on{C!s
zs|$yCFqQccc_5JZZI}B0(ydvzojx%W%CP)tn&vjiE>SUGJ$~1%Ga@0%OCp}0MvS0C
z_!{kt^(~{nk3l6>YCItXfySo5JfctJ^xYIIQ-c&L>d_T+!b?ww=c%lqRqni>g9AHS
z$U%{J)tAK42JCGld}auyrwRisl}LIP<)l=Ow5k0m62qCmrDb1RfN0)~wk)}%{U%zm
z+T}1=-tNKmhD3c{(WZgtI&ug~P<jbk5I&5#!D&@wv_7|L0vMIxH;zxRy5hU|_{XHL
zHd#bdw`}m$4<(46%h~5Jj7&~WVyrm<WsCXa--`hLW=r`pJUk3Hf&oN~Ue2px;c&nV
z9};K8cK<=J3#iNPrhx|fFF3chOp503K$b@vU|iv<dN4p{W~Ko!hj3>Z02a?gPkSB?
zd)BU-TRi<ic1ILy&jAPwdA0@;JrH|===koPbHElbu!HcBzaSfuDQO9~2H+{ooj>0>
z8-2QYKxi35dLYdEB~2u=?{UWqVtg6XjLh5$%xU0rYeFO-lV&m>2n(K%R|b`6mS?1B
zOC+1X8qw;;W1ypS`K3?EwCxSI7Y}blPxoa}^0Au8#0QuniNd4RMvIv<$m0fQ+QTG5
zgCs(Jxcre0nNJj3-YDs;E@Xme47aK9MI!r;%U}A)&IuwtmCChkkc!x?n3ot6rF{y*
z9)`Ew1f&f0{rioI+o(995V~={flhhRij=EINk*zF`N;&30Og8a*I`w4io8E!pCM?$
zNQ`9q+i_0O^$0Pa{sxlb*J43rMdz%1qvn^Vrc%VTCjR%RvT}07xVkNhvUYk5cA`w)
zT5GoZ<%j6Oh%i)j;|^My0{=eDs6Kn`=eO*+N~kJ2b#o7xk2^R#2Ab@6t3{R4i*^v6
z3ra+42o@Grwo4y6a96>3H#nXK5-;ol_Dmt@6fkPIc79b8*fq1C4gM6EeSU`lDB0-d
zF$nto4e+>TEmnR}(LbAydH}Vw69*D8focXWuz?ffEbC2EP2lkWUo1ip{1<rP>^BoV
zXf9d>j`3k<=w=~*pMsUg>Xc;YB7vnWs})Q(F#$#-f%j8u%qXTWvQ+edD~D!trYdnS
zcWH3(uPxS8g#@=n8Ad8Gm#l)yoC5}<9*J};AB2SnZ8A%lzw#lDWv9?i@VyQVgFD_w
zGi-%M#gR&xI;pkswb!Yx9wyK6ytEh<M5CI7vf_4>MhZ(;&=}fQ)Le6fe~>7Ap8HHz
zPdPyhQHy^`w<+?8Iez>((mM%oV=zh3sbR%QNd{#zAl$Ogn3P2NMhnr~3X^Gq48eb1
z9z98eLxZaDAegb}QKH1?z|p2wm)gflErh>2f<3-|es{PJ8@NuOlU`dhh5%w^2q2dY
z=0kBsWY=&&4wOD!4-XF@a^#-``Ib6^sx?p-tuEE@eihn+gVi8zd3N990Z^Q8K*byJ
z&Sl9m?e&rQ<EPunnm8wqT7mZwj++MT@a72vC>1x(mhzn?)7d*&M95cw&Jkk|`WOIv
zBfvqm$w%#s37pT|j{JnRUrgFYQ_KC%E=ItCkjP+pXePfmq4}0{Hk-(=JoYAh{ZaMd
z9i+SYf*k@uNVn`KW=F*!JVs$3r@<#G)gr`up6bP7Qj9b}aGc&&eGO$Xjgv*8ffP?P
zaJLH}L-YvmJ*P^8mB8E9uT*XK;Uh1BxWKWKf%FP$sbHoN@yXY6a(d**sK$no%}(BV
z^tzmtbd^$X-F`|B%40zV`QA`}B#9s_z7Q#hq-!WFDpd-KMjnRpA=ul;sc*IZN2OUY
zF-DY%bDbUwQQRuC^}j%<=sL2bgfvMz+R<=@fYNRI+P;U*4`X;dCa~U{uQbEKIqwE<
z$RapMK#T7W0xh5TFT%r?!MR0Xegp!@198N%y0lpDLCpWQv(Rwf-`l*$^KM^Yr2z+;
zc_QF?aBlsMlGIxh304>p5iuz#=>tJOcYf0vIHZ345>geh1^c#m*t@PMm_v^qX>rgD
zEA@q`qPIplnaKy(7jhXL&MIu`Y9V^}>&!Tot6~k+8($DGir7}?*SV;~5$uN&K~mRJ
z#2$>Hpn!*DR7h2yT$&kFIHClbyZksK)zN=0(1=b7Rhq1$aWXZXGM@Xs6l-S#4tBa7
zMLhfo0}=LNnfO0bdv%SK0@~~Bm28Z>)^>*=F@*-AAT6nN{}Z&z8zTyyQqa00M7nQT
zBDB$Tbcqi6Oe;$k+)yQ+NWJ#)X#H}x=yvDexAh)EyVdhS=<S3jBse^uwT5|>=D8qt
z67S-+{6KmQPng8N5MnIx<&O}ZfP-f|_;|sdf}zx1@G%1r7Z4gt-CXui7{du@{LG9D
z{k7V4keUJ6s07ChpZ}|HmT34nk_YVPV0wTlDS`yNDTh1I<#;PyCqdT^PY#BgvEbtY
zs)5kN5|Iao7kJY*dZCwWAr`XyFXt5ZNfHyst{WfMDr+Vm&O;zX+W|3;$Y4k>Qybn+
z8KaaZk9}P<Cy*A;3v4$8J~an{6{qWy_-z`U^2!Bf=8^;GMA#TurpU_idi2GR#Pl}W
z55z7=)5GSCS)IvThP)LpzvsCsy-tyC26Ozi36B_;$tAd%s}5}SPg77)wnHc1qs$KT
z(-5R2Arf#%aw8(pph$;udQP{it1Gng=geWR)c0<t?xN5Nl<{p<KaR^C{!*TgB#9_B
zKwfS5_Jwh*zFnTTC=@~irGv~Q(!&NZ!$S0*Isdz*D=Sa_B+y-5zO*UXN$@&d!;Wxx
z`Ye*W*>!8slKBi=k}QzUP2w7%%tiRg3w%76y}^ib#^qY9a=i8bEFo^d1|mF$8N`aK
zc3wBt@L%obiD`UUTGH>n6spzI5%k|wh(JL2Q7oZp%n49&2%n5_Q907a#UJ^zJ(K#0
zDIkd1;&z9!G@qkBTBIxk@$Cg%mD(mMI6NFtT4SPyzuPQK8Q#!YWWcP=`;1UTN>=dO
zLn#$_CbNIUiZz<loYeI(q*N)WDl)3cu@jyfA*AM8@cC8dleDP_eM~ffKwh9Jd+4E{
zAq`{`V2euPN+RMx>`Y>b76|0i3ItI64c}{*8Zjv05NcF}?`hLeK6TN`3c3}om@JPm
zMmmaTqCW{`-~HGucN}Di)`o(~BL>>Pp@X9T;2&ca(TV5M3i$73MFWUmD?_1GTGO*m
zEzta)p1;FNs!P8p>;$qPlN|azqTm_?A~C0mxpu&J)U<9!zoQVeYS90ByVm7DG&q>Z
zpnp9)SdeR$H0W&R;BW-`^7*l`F*56HSD^8<tI`!<FRC!8(y7qKl#0@konu$zLxUjE
z$Y#E09YW<PACzyB$$*%9?0l<pJ^ie2T?zBE>lFN)EKLCcgnvhjUap2nj`)6YQYSz2
z@3QZBGa&>JJR;noEnn>yhgOoD(xUv|DIb|dzn2DO=(dP)tuEWn51;y_ifY%aQj6UM
ztG>jd=*6Ry2AMXsWXxPAUJk}(vQ;F=3ke9if%qsL0TeAEgaLxj^DaAqdy+C)78-Ql
zxbfUh$|0S&Vg<e3^#u<_)H3_RkCJG9t-1)q!f*J<l0PLnof($J2*lOpcVr8P+(r^<
z$m)o;<=~QtTCETN^=FktgL(yOG?U#<y?<95%N3B@r+5=zmOYc^&A@^HisrHJ{_x;i
zL!0=qg?3y7oP*RdP&SU@9D#ucZWVKW@VN@`gZ7F4(kMoll=oC{hW{)5(d^)LkfaXL
zOT7Y|cjtk24H)+ZsB$UME1P)H^Wk&E04Nw70Is$1#+!kS9g8`Q?tFQ*O`E)69h-qY
z7NX|s_gV<l^f}tZvLdqH(@RI{rOdfZL})ZxlS{v6nEz~n?CYd)tGsisxGjg(_PP4X
z46zq4nk!b2wLMv+Lo2I?z7&M&`m95(-=fG4L*xszo5F?qXLwLG{){j_Kh$@`(bOJO
z{KB7@ETu$G5qslXjx3#-011i_w#I^x!K940?vaI^-yh^+MM$8{e#)NULBnHPd?LU_
zoH85SX;cq0sMQ_UJ7j2J*Or4wMin8B995QEC9=}Y$vF3karmyV3RZS&6?g+NXHikn
z&`JOQcC<VSD(cgmuVZV`iUbiQ!e|omEYW3}<SJ>S+fJLWFM$jZ3j$<lB9$-g@8Ka#
z^FA)ifp6ZtadA1DREqFi1Kt(jb99>!yZN&W$*r!|@$Ll`<9+QlPzRhY#M%DY0qxM~
zx3-JPv~jD3j=erTm^#r56%`Ff1V})x!f1HKYt<&P)lG(uzxI4*(foRK;SKF;dCDZ)
zg)&flbDBrTQ+PAl_FQ4=Ea&>v*vmO>w{lEmD<J!AMhqZiL#}vaTu^eyIjgfD4eg0W
zwJfepuXZi-(%L<DGPd<nn-r9(#@3)g^w>{xpdExZPp2v!tq;u*8(|f8BKR;nIrf)L
zD9h~YB#a0Sk-22nW8uT|;`AIWvNTcx#}3oO>O+J=U$ps1-`y}J$x9Ct)=n$DUZb{+
zsV|((|8_cJCCR~^DE?$@<<OurLH#Phnvm_)(c>ksD2i0e|7~beIRdFl!<Mi0m0&U(
z-~A6!uL*e)ZqPxy>zxPi!K*4TB!Li~VQ+0^g;Qm|;3&*f4q_fvm6btYg4m;%9#fyL
z;RSK69ORLa%P07_8MxXUo?)Y8e4c2H)_WlerrB=PdJVZkOuW3VCkI)g#jna#?@62|
zetClR?>T&VYOo{}+dnowKJ~31nMB2)E1J}#%L;eCGWg`qH(o?W_?3!PR;Pt#ddggg
z!4Y-#AdRcGwd2{D_-QDzeX&d((s$Eo`>?tl;u1i*yn3}hvnrT0Qmd@0Vc!P%EVR#T
z-%qcmqWyA?vo@?<OlU&K^Qe1s5|7Tz^KRHxC}gyFRNK_zvuk#jKgY|!&Vf;q&sdF{
zu*aIW7UHsxf(~>}-z;h*VCLGnPGSrc@=uctM2j7%eN-b#%y4rHN}3K5pBNl-Z|rHi
zX!tqX9L;~!K)G8VeNRv&@MK=5C!Z88Q>UlnpctfTq#v#R*W5HOHH!%d%!5Quf5TOd
z_1xX<3*VJy-7`+0f>{RIQa@m;cm<ND;9(dyxW7@UeKyJ~stKeh^$#Di-M`+#L)--e
zF9boId`J=sPp9PU`Qx_WiMwjj0a86iIXjMkibEU_<4z!M1Kw?(H0xH(!DB2y(31GC
zT9f;`EAZ;HgH8sg!pD2rw)7qh!GmXu+`<F;XEjxkgA_~L28eZ)m6a<uRs_M5dIh4&
z*(f4h({(Ba@WXu_d0>PRIXBB9jj%=-%@61(l9$zc+(FTP`4UgUrs**fBB+ER5eL<W
zr0DTc?21==HUbLIQT@YkFX9_{Gpyw|Vg>-WiXMbQ(%^v=hpI}gUxrR5pCu(#(B(!B
z&)S`y*3dLqmYsibiL0I_00G$X_wV1`+B)rZKj>5le+p1+;Wt&}7oC$I^&23^(l0l?
zLKU^&PYA-V58sR8LM~PZ?pzg48e8m2Mn!xjLK^yg4KC8tv^|za5%wo-$U#`iCH?9C
z4JV}D(@)4Lcx6cbEAq^ll13_L?QTomfkr&%&D}n{X9OZMbmnX@X%&QL0CCL^c+*k=
z)EuTcKu(9d?sr%f|Loxx5S9Y~n<D%>xG#a!1`v+$5Piz!i@U>`yu3VM5nuWHL-oPJ
z#l^+K!U7ysetrh_Ao<ApvGN8eX{G^v6!?Swaog=q7GUJ?e}aeJ4t#=e3pad%3p}L+
z<k58laKS;~H<%HDKLth-dT*!bidU>BJW94CspHMnR!Fp|qDsbLrWpwS;?_+%@$UAi
z!0j^%Y--qW7*Y<S^;`)57fD)tT7vx2mF#4c>U2hy9U8H@qZdp{-z^qxRR-Ep>x)?Y
z!VTTO!ZY!#<qiv5zWAH(+@;TlMynwzS`F!RJ6(lGuOMcPZo3tzC4|nXhd(%X#Yx26
zGGN~uj&AcnEO;{D8YFNkt71FG`Nf|`@`N0eAct!uU+8P!d@KqI6WxmW6Vk;hweX3d
z>S>}d1`<6&kie6{Jv>{60ZC|(OmL6|%UZ+K-zBEMk0{>eIbWXMc(6$>NM(#}=N_-;
z{zsU&#)9;^6A;xG2u8X9^bS4=hz3m@&?XOia?cJp&7O?`WCw`m{YMznKv9f{iUVj`
zc%Kf8-vZ_l)*%2<f#-AqcfqAx;H8{8kr>EEH#pSoI?#rX=m7}<?zJlvpz)jljVGKl
z1tD61dGZ9Mkk`b!t!%h3I`B$2kRQk<#l^*ig?)i!=Nr%qpfX>)Bc7@vw-OC|+2Q55
zRF4b+=KBzMM$gdsyh7s9auZuqtGV9nsa@QUq}vCZR|YL;CWB=57m2d6K@coSdlRvd
z;9QGvh=0;P&cwjpG7-a`@>2?^OHAOa5S15~x~o&=yqPCtzF;WS^%xYKpFokF6k@=g
zyB~9H?a@EY9dxpI-!OmBE_jd<4s<Ik3kzusBfoz6h+YMadb~&F)Xl6dIm-0-7-%0D
z_}8>lpQVI}iOH@baC$V8aUL*6s4t{qd!r<!_XhSFeQ7rVqAaXDSNmh+PNGq;iX30*
zDN$?t%!Z|Ei@RGH)1B2S_WjR?ZXZz2v6z+Rl<8_^t5bOTj>ojm{r74C93dAqwJo$;
z33desz1V=R45ViCG&X`f<VKK2d{T1%`v$JiX$GlAU?`O0=i5FreG+qaI((C8dZ6;q
z_QXE(*&#;P)7Rc&5SB;o<WPjn;)xMdeX?<Wp4^f3gP$vm1ZqG;pODX@<Y}0QK>a0{
z2CaR7IrnRCuY^d>TARCd)l2zh7|IuoV5tK2UjyTDTi^z)_OI=<)CUE%W;2-ZX}$Y6
z_~bV3-cWe=U+gsE-I%cV%Y}OBwI*IsbA6o%?lXIV#*}G!MOW`<?)<IL3B)F-es8^_
zx>>#>mB{jqN5@DEMw^+A<|ToIVhbb^!XL@RCNoCgn@q!d@ARLXY4Bp?obVUOhmPTF
z-vcFy_@bN5NN9I=H+*0Si2Q!yJECL^n#9N2u}|dNjH<;k=RSYO5?$3{x%M}tnuDp^
zvjm71QGE35%NDk-<n%M_Oy_zcX{bg}WUgL3d2l9*n(>|=9U&NLgyE-q>O`jh;Z@T_
zb}yoYK$aN5R7gljtgQX*n=&<`xvli))n0)z^blO~&ieD<9|G2$uWq~pQQEgf+EJfT
zm#tKzf7cygeJx$Z@0l8@h9Eb{vBDX{Qk<P9RIL4318jz6xk(OV=^)Z?=)YSt`G+NJ
z>*-PxO~Tm4b}Mc5?x_|1&xG6$I{sIAOfZisZ)^#{jXNO!=FQhzd(gb;f*ubpN5DN!
zP%Po>{<R4pwl_fF$rSu59Dql%TfYX6II$xkj>a|@K#$Nh7?`eE7=-ACbP#jRO_d}=
zm1`ekCSGncNZ5#&YI{~M;~K~loX?LYBQdNu9i`W4JwXk#1QmkjNs_QUj5r(w470`{
zsh+svy0?vtj7&|bkJjTHXDgPx={GyAK9u@9ud^Lohz9L-rCe!FVz4DB%O{IQP$C{Y
z^6Q~O*dUbbPL-yrAmV;v<-}Abf1*?Q31?KPk^j8WPBc{nR+BniZwyolsSOF|^c0w3
zQk-dq*Ej3`)&OuZ&N%4&K|<jLD3=16lG;F0lQ9rlBJ`Sq*tcwOEr7g{dwAwbBX>8A
za9o4kTzQwq^pW)E&PZa7a{ahc<bhZs1iTQsPikpN86Wl(CSNwnip|BP18tPlSIKwM
z{u=GXwOCLBlaN%#mErz;eX>9w({AUhgSm<hw(s%M(m?HS>_tJnzFJD43!{l9tq^Oj
z_?n*V2D-leoy9zTfh=OF*^-w;I;qT%pvY#&M;Kv@J6cI0Ok*)81_9)?BE&81{rR*g
z_Jz-wQ>9YBmf7jdIUE}%Fl->Pd-g5`;S8`_^1h@r0=eJ*du8eW$8t{~f`{L+OBet~
z=A2rcs_uh}0yPMDPoA8T$cpE!1Ag>AM};>V*N3yh4z^SeV~~JIA)qLRypzwhD?o;h
zQo0B*j9vK(q_I1m2kIod6L26{<P)Kxnn^f4=d1i+wmB}-oEOPG&p{NJZr8Nz)UssW
zp)&yet6lP3bw4|iw;9~gV5<7Y#s<&YBXb8E8yja*aqb%zXd=6Z1CH_{bmD7_8!tay
z;lbM+>NMM61N_=eyCoY5BH?A{b2o*rKyWHH0*xs|qKeY#b!*6fbfo??Wxdl<sZ7gn
zCk6TcK4?!oD4gJlGGJ!$?e4SZc}@m;Wm>7;n210dp^z9_h>Mp#9f>3{S*3}J78H_5
z%Kqwy`3{{8M2&^77H5>&MbOKlAbm`qNQNC54M*nUnw;rK+wU<Xc4$_wkZgg22t)2`
z36L1wem1X2jQqRqjzQWhLHX|4PrVnB!NE}J&~*s@fNM5`f_HtFag7oTajcx>qXZNp
zAtXIJ66;rOk4&YZHCm~zNc)^wp*T5YGqkckb3djuyijaa^N>B#X!UDZbm;+sPdeKp
z4CJJ)|MaloKRX-8kh)i$`fD^UOJ~HK|4iCh4?4@huE2vlR6%}k$T}H{enYVBl7Nc)
zlG!3@?WgBdTAEU>U0eI{q0#U(bb{X}9--OdU2+nl?dp$6rNSd~5t*D=Ct4}=L-A`F
zb)e102<tQTzImNT=xablmJT^@R4E4Y5EraQrL`*Nz~QwibkcqFaF#5xb*SNbB;378
zi~cNF4~o=8y~=56_BH?eGlM7&nC06Wh(VY|!2qT_A5r`Y5hNdh_EVybYa;b6ncb~{
zVAl96!@U1U2k=hbOz|`vn$@*}NI?L<S!{Ywf`SjaQET4&Zv7jmNV|+DhAupfN$}j&
z_}AE^)77yV-brBn5Wg9KDn0sPrlV6|FExB#PB&E^(@pXO!3`nXrI~0B!8|t9UbE3a
z)ysOkVfMUmpcUc!@UUr%jv^F-D#F7GnKUR$JQtMTh_bP>D>ts$>ibHh6dGrM9`D&q
zI-V>eX1Ob@r2o<FOIrC(gu=?fcc*rTFjvZm9J^OPp6Jutmh)Fq8~zR{A+u46SgjLg
zkWUV(QitR#asN4}d;h-^cklw&a4jtdFi?;)_~lA=2RzQNAVEMPW$D}E6MXogdsd%_
z2vaTY9RK5plIPmWW>`WA;m+)UgbWtcL_DK~<v^$0oIz~vB!<~&Rbf)0B3$Xs47Ew$
z!Bh-|EiN;e&6Ji`ek%is?OG1SGa_>=d`8M{QSrDf*&=md#&(@{5E%OB3pDjJT`?!T
zX#U>|v>j*(DHBXf32omu3d^8w9`(N)d$XQZ7M2wJlq2T-FwZ2F;}AI*%T0icRGB=+
zH7Ugm(?*qkk)B^9fyV_gp}}uNVUQjdqNCQK`2QWPzUCRcXTa6?)3IgsdPMcjIedr&
z1;x|)ez<ff%ek8j0v~-ztsV44>z!=>&FjhKkk51D%`CB>x47H+{Xa@}!B(M#nR|%R
za<^D~%nHLo3Ua7$8HVlLUSwg_bKT#{4KL2pX~^upv!QAs<<rH5W)6%4^(=6afcE+9
zBog5KhmlmA(~4dcZvjyU`BPpW8k+rxQz%9=M@D>YsT~~WCk9w0MEIT}IbI!9LqGrg
z5v@>-6?(UX<2*vQKr3M;X=HiN=^1+Tqwh8KAdi{&C<^<rA(>%cK-F{CF@+T(F7Vsf
zT!hF>Yg0)$oaH8F&-9YfgaFEb2VDo17jlNBB=s*X41T_;fh*(S39`V^{HjVvRd_o&
z@OMk#3J?Ue0I|$pP%pP1)x%py9y$>aTnN`yr^H+%7i*MBSigTeJEnLj0BPo4AyoA*
zFY7Ho?`E`bg?+(jeI8u#G&N2L28q;THT9C6d%0TYiKi!QhzcP}qO$$Y24!`F4QujR
z;c%<(P?cW)0<94|-4vQUYFTGGlfBIl3zZ-ZuhLPv^W3a7J|aYH^EAF_^?1E_vhjx=
zTu|T(bgF(pvV96#Dj-iB6Z_S3HT0%0&1>K@wNqM})}Z=vh!J_@O^Mdi3RW_GDs1X;
zX3VfXiC2w*j%OQcq9+XFc4jRhNDBAmOnG7X4AGf;-r5~7KdYQ3ZY5|Cifk{MI=x||
zoEcl%#O^rC|74VUFc5$uOlJ&|s@TNcfMK2PWU0X#dFWfGFE8B#oDK|6Eh0Pi{sbho
zVR%6G{|w0KZjM)O;4+`C)7MWRpm(-tSbF;!B$57Vs(I~b*%uJJuVRL&1t|}giD8B;
z*4_ynblcR+sR~v;gwHKl2<U!!U)5;0D6)~y;2to>(uk1j&LW+kUP8t3{4&7Oy-HF>
z*v?Ij*UT{}gXs2or(?<OuRrwevBVf*Z)H#~ZUgG{DjmOdo<<F2s~F00a}|3GPW%YT
z4Jq+`DI!drR>d_L5MUKAI{Cftx+w+Yk<sz4=ewm`CI`lAQHn9fxiyRFscvciPvkEu
zc0O!8f{x1WG1{yUxg?5BX}wJ$Int(5-;2MY--|3^T$VRblZvEl%4gVU6DxD<`l)50
zL#8%dA9JnNPaSu0*y6Bw_U(<!|1LsG4-h6ce|QDxaw<S4O?a|T5RN{<@A11jfP)*)
zAKy&^H9ubX_kuL`Q9mFB^8?=btgErnq9&9eKHV2=j;JxPIinKl)l-ME=uf1pL6*dB
zDm*3R*$i|v2^Kgr?@NkAKff?e9z*wO?#C3iL1xdYokgNhP-p8u5Vy$eWR{9Z7dvXK
zUt%{`Sc*<<bP~ua(bzX31wgCDm;LTwJIW5!Ygfk=Mk{>cORN}{$S&6}HSUJk+r@<g
zv5aIBb+ywGG51^)1vU}K>AvJKGW-i!%7np1_v!wSbZuf41%o+4Qzbl{1O&;CyzT1B
zJ9eGkU-i?HVsh;a@wBRfW6R^iaCxJtI>el79HZSLVJ>J8Vho8L>jfwOsTiJ&G54DS
zvj0}=XP^<-b70@YGh*CRdV2tyk&}_(yE8NMriXHl%sEWzI{*~^mImIH0<XvrP?G6^
zd&z<a^e@)AzB?ED{vJo3s+MvPNF(e(!RmEtoxCE|ob)SW&NjT;bT3a-H1fil<T0q!
zn1i7lmWN_XIlCq?A|wG%ZpAhF?RatNnm#MT#j+xzM05ykM~<q0EH`BM%*XZtzenqU
z=}aLJyu-l0!T>4;QhqI1j>Z+fSWamsHac{y_I)(2s@i*qTe~`qaE&64%)K88zELs~
z>457-F{Pb5mCP6>H+DV}W00tcunIbT+2njLgtj+!k{dM)g74RGt>-Mt$iifj>trvX
z8bJ|)%1-rUxq|d#Wa;ZvrSzm7J0G9LKg0j6)P!)ACmxb3CGVio!hKT&C&ffLoZ5U-
z{rvyo>Mf(P+P?SiO(-GVAV{ZlNr`lKgMhT8bcqNeEiK*Mh@^s~AV@a|Du{>*C?P0e
z{pbFkbAHbl55spl@V@t6d+jynyspn>W_#I7Ekw5H8rm{}BXk+#s03Gr2A@l6;wO<#
z(*2_}u`gWL8b4h$@zmk}F@(eMX2YksG&L~DcJ#F{%~wjPbmwIXC|x${-ORe%i4-%*
zD%xJ_NZ0~w{@?)mR+Tflhis0__J6~k1sxAQ-5n33P~O<scy?Jj&ZX#=M9otwvso*-
zZ$>r6uAnwm6rBrqSC%?;=qabdq(LI-TRW#1?z~W(AO|^E&;8{=e|8IOUWYB3g4SE@
z!6gH}bi7QoA{P-_7os$mt>$8Z9P8F-qM$sP1wXDYaW^UOiyT?iC?9s@etuv!YGRvs
z96~}Fb0t?y@}C7X<O?HH_^3@GY`$4Loe-qyR8rk!kZC?R8PrbsKskdpZP4Idppw3x
zf!+fQ&FfNh3CFCi$YVJo6{r}NZI`|GP7dbdHdgVZ=Njpcb(~{mF`Y`%xB5Xnt;Mks
zTsY>?U-Bn?Qld-x;I5w5-{kHP;^w+)a-2WE1B#Ze9*2JN{*;r$_Rt|s3%9u%SKiW)
zZdut>PV>^J!PANd{7;*&Y4S1Z6~|i020T!HJNrUeP9vf^d-iD`CVut3l$61oakhu!
z4y)i}3oSCeb~h|va0oAX#DNL(H+OvQ>nFN_MIu*f?sx`<<souG=U?ydd##PjI-TAM
zZF3l3Z0!;puDu-={^FX;5v~idfIRp6W)?)>hliGg5UF-R%-(li7S&Br@4m`1>Mfh+
zAel$0kI#Uabe7U~%hP?%#$m%Y<hNe=&1u=PaxvUeV`mE%4D1w{7ry5kPi^X}zX~f&
zP$cnRJ#QhWg+I<35XFIUZ)jU2M@u;8PDPkvJQ}aX75|N%dvkpth7;N;#6PHs2-DC1
z)V%-ubO0y$=&Q8fXT1_Vvz6UQ5;Xf!di5ab?CkcODAY)3rYFcZgBL!Mz4!_kP8cY=
zIy*n+-2p-S&)vY@kUM!Wh(`%&kjvs~4zS9ln~+0AEy>?$$&ac`LC%r@3|X@;M{~M=
z(ae<^qmMjyfKsnISW?1_1VM6q_*4f_GCqm5r8M#F-%Sp@!_tWcETNKdc)h+}UA>j-
z1Xyg~BBObxy$*(9?3p&_t%D^UglXqQE1b^X6W6?GFT+UequgK}!!+c?&^m)n&1ZFf
ztg8ppgUglBnD2$$+&yKb1&THvbz}0nE4N;e6cPh2ud?}SOUGN6ZKgjjF!l^a@7Tz<
zb5cFX7;_x<emWUZPTg}3!N!R5dzr#vVk&5IKbDXP(Hkkp<{<r&P(zB?R4>suMlksf
zHC(a^YUjd>bIc{0o{!o|#l;*nvwkRVl>R)tOKC?Xk&?d!Yg(h_r@((&fN!@S@Y5p+
z&C4t!OcCt0{Bg{&*i#`ic(E=AuIcHtHk7lFbk)%CmEu=4g|a^SXHycoEk-;O^im`b
z^VPgt(+`o6`F9w|V~^K@3G7>A-ucJ9e}6;s9V^^j{24H#;ids*;x~%IMC*A7)SasP
z3-WN(euhlX%&d3r7G4cO;h3Nb0)mX~qe)mE=*E<qN;=kz%37e{K|!V9===K`fF!>V
z6%`ejaJ^Yu)5SFh@&p3V%$s1XL{%Q(K72Jhi-`c~{?9Npi=YPzB4AYc@0-((DyU2C
zrDuMIdZQ9~(6V{Fz6JK@udQ=KLqnG!UMmJNwt$HK6T;hl6|@V;IK{AT@MOTo`R5br
zJp^p39~7&-JLh;8%x;*HG<9_3kO(X0-4WH&*F1FLp-shzm}Z_X-<!@(u1rs{Gc4F$
zrEI&oa{s>79j169`Pg}Z*ZY=7L`V|^-_`R}ZOH%n{O9abC*5(Gafx{*W%BUY=C^zA
z?_QF;{Uby|UjRc)8*5^pX-!v|mVEu0EFC>AmKDiW24+Mr@&lWAg8h%;Hrvd_i?f8&
zwV(a5gF?O7IL11UTK<$cg*|?8@w4BLTh)I8tiH#Y?8)U*b9_&Vn88kCec7Bj<6twA
zi)^RRAS5GLqHIj5mLzZ4Ns)+HfG{+^@%-mjE9)n*R)7+Il0lY+^2^kWG=h9K$WGH`
zkP^IlwcF^e6}*YjDa-EeUGOo%^9=9T9FSXkJ^zJziwg=0O#kM(J?a34jc<qLjT<*=
zjPUI@puh+Q(EFoFNMjHZ7WRPw0wFOmnuU(0!*uw5IypH3M`<!+A0$)sLuU(~+#kos
zdvJ@vTMm+C@Swn_?0z4A`MH!QNaI1V#u(lIGV#jl$-t-a2T!Pl+sV7vsE<pCLqErH
z7FL6j=l5?A<e@@(AXQ0AN%j1EyLW4?=XYeT6gw4TAFP_Uki`U4{!J)}0>H`&cCOyl
zKbV<bPa7|fILvA`@XS!0yQP+lu=csp<juZ*U=bRbC1Xddx)?I}zF3`!-j7@95}Dyg
zA4rCQjmPrn()Q=i#e5fi?=72ZCjI<D@F3x5zzx0}d(xF=Z%BSZ`e?9_8iwB?oHE9f
z<WS{UQPZjQMZ{8Miw%^D2y-XWxK`SW(^2?+Ab%xT?r*GKTP&s$99LpqF(Q#?zPmei
zUe(f0HP~C*Lv@i+yxg>eJL{EFe87_>Do4zG+`{*g+Gmt$HqL^gNSvmftPn;@8Govg
zda1^HjL%}Z@T9hXHT`v^?0?&FDOcFXPJVl>hiTz5f2<7g5s84{(~-}6dw;>e3zTLQ
zh?)7Mi=B7g|2NFdP&A`Y$D6ND)@1k6K*6(<xAx0Pl<pj&go*&4g3+G|7rOXsk(8Ih
zejTj+`SB#$_6=NLLPA2@b(qimLG^C0e*f~#fJke7g_rP{xA<(1KK6pf8$7;O5E(!k
z=|X_dbI(ug!|k!~q@t)rkRfK;XR#H5I~PO(fAJ7>vZPyGV`!JE`5855!-o~LyzzE<
zxdV>PYHZ)qOu0GP$l|;vX}66|_*W<`OsAVWy)KK+(GV<mJ=Yg-C5&Oc=wTx2xWGDt
zuPt)5Qmm-`QJK9pJerj*k032*z8#)KQABGu%AFV)v_qp|z0{{>lAC`WvKJP3=XXUb
zu*&(7N2yHEWcicp3Cv77wZv+-Y)oakrs@k&-6YRF!V)D|C)pAyZs%%~?&eR_xp+Cg
zwP%KrOimP6YaQEJSX9fL6`>6qWEP4UigTbN!7nYXu%c5X6`aS`%TmH}IT^epW=hqj
zV)c~nya`JQX3)Po@H~D5f)rl4je}svO-(#3K<RP18XW+W+n|1O!)JsY)wnT2C^wo&
z^6FbM2nEB0E)BxnssniYyZ-yOBe0!bMxKI`>-oZ-FWO87_c5Gc>@N(Af`fN!cUQLk
z7rZCYal;>Q{iDwVYVxHHk`|C`SAMgn`Ax<Xde87wWfv9_5i1E~jUoHsn#$Lct{P;)
zI%&MKdD&nTau18ZNO|G!cP`FBv`zdrt>Vx%kt2YuT`6dUb*8y6ZeJmPqWuhqP(M#-
z#YZJi^Gmo{^pRt$?Z%<<9`k@8gxc%|Ten$kPE6!hF1Lq%S*OZ$^k-i>It_{J$B>(A
zRbzWES7|hMF_KfM>tVV6aiwFfCfSW2S0GX&Y2!$0a(*z#O3>+nPX?Rli0CD+Y0)FH
z{_)n1`eMgWyPVQW%_+|I3$X~9KBiFlnEZop!WtOs@vKUW-)S3MRNRujDNH&)30{t>
zR($WsXEjYH!lLS+r~ae<WUSZjzxN?b9^2=r+1SU&6xy7@3eAhq%LJjZ8TrR1PruxO
zS*G=At#RGQj7U|92|oPKJ3IF`0;;eOW(QdEhnOcY)xna})tx%9e+|?{pl{H(x6A!=
zl^+1!Wf+<c%`-DI8*3n*lPsy!iBmqmZ+od19;4Shx5G}oCb=u<yzaFs?NonIFVw~E
zxc_6wpuP}KNhuu@1DlzD<@`yL&B~S6);<O+q7&3oslqv0V0xU+on*aNjES(M;<8A^
zM!3wj)fp_cyp7FPV*^eWS4HO|=_JK)!*>8vj%6S<j?Pte$EkRbTFqr%O19Y|mYZ;3
zmrhMjXJ0HLDoTrl%f;j3k|9xSN~1j5ZnJY0jhZH`-ozeB<w`r}W)rfRxh|V%@?^N)
zx@G-s_|d=n4(Fh#wvt2mHvwPmC>kav5Ph(PM&W%0W9hPB^Hu8xlRQ(OU(5ljz1}IR
zy}r0*o9^Nvcie`lqaQ9zU6)Mg9>BkFlxBZ@@OMuvoE!kgP;AMMPKZyzq1*+#K#+_M
zHv>2sJA53UroC@`!-5s0!HslnX?t4C_H%{F&xvw7GS$e53^{3UDJ_3le|bA*kk9&D
z?FH_#(g-A?tc){~O{-<SV{P(1P4vw4G*bor%j2f(VLlGISDg%m@8{=U8y4hfaTMqb
zZya>=-X9tsF3`YW4^*3{Xv3Xik8r`(XIEF%%yhO;T(<fhn&A}f@|-o3*(&iIW$qF4
zb2)0cb9%|IF!59qNpO)+yAGSB13W_`EKxU6lW97_tsRnd7Ykj7xseZ`+0ObXfBB#D
z^Qii?|5ds~9p*DN?bEEhAyTV(Iw{jigBtd&%LzfA9h;db(n53goh5o69`5zOV=Hqh
ztYj2QW?#z80C!FQUf5>?J1k{EC)^9Y7>4VAYO_O#`GmtE4QvHwfK6tWD>Gcf_{V)0
z`qH`RO5fW%3~pCGPadJgB>B!^;BJ9+Biy9STk%YmPPsvr$SV!U2vV)_m`Ro{Wxpk!
zi;OMHAreXLG~#K4jXn4VNkVe6{X6w?j>e&2*?u32NNmxHi!UR%Yw6oufa%1j!hOM_
zeU(wH{N{sZT^9Pb@a%9u6;EzAe=>+D8)c%^G9Zy{Gqf{MEn=-;Vqqg03|E89r<R5W
zk5&C2|JD>fwW3$9EV;JT^kXTMa!aO?kzmPD*T?~Ix<E%jT@`W{(D@x6dwhuc`mG<U
ztE<7A3bAms2#x~48%8)J09;zrF$?;#dh&2h;&JQo#nnkT@Jl!TLeH{kt$*>&9B{$%
z8j6dcc@*pn3E!x3nWJr;pNlC|mRHY~p9k7nrXQJm?c8hA;UR;5qcq(moU)14aQ0dP
z|Fz@fDazndNZkRPWbV;oz?1opQ;%#qGGvOX34ivit*tRS-6m1+nyjj-8ry8<t|ObK
z+B~xvq}t>X7&>u}%&NxC{iWEs?{hmOTqR!noHKordv)qlM1xH=<x(6`&Re((a++C}
zGRDc;{M*)cW(nmyzZ2E_1uWs%NBiyAwD)_#GcTTJJoD_|3T%m$EDq9%#r+#}_-`0<
z+)kxaE?tT>dD7(;JT<fl9L$AFCl3UAXh;D)_(MT+l$u%Q^e4z_wz|IV4rd{KkbO#w
zKvS>i$x<jByNLlqXc?uKz4gXBUpd*sW$(%xRT){?yY3~Qf^DhJOrw-l<V^v03Zi#k
zpn=PPh(J@CY18Z=h#oI-U$`t&m4)N-PYW$f^(K0px5Kfjr33`$rOvHV5G=HKb8n6`
zA~i-l9hUqilJm4TZ#vXoG|<s)?&LR7o09p;xZDA_G~n)oiyMmK0(dEjbkX8v+iuW?
z@s4VW3k(M__aC~5JI2vv@QywZBfBW_thCwg&?kcf=ZnaBmYZ6+W2z0tp{XJ<6T95q
z1xQPf*mF&f-9HjVZRHojWfRX29>qD5t=f1aOp%{Ednj~G|5pYn>t|~5QeAIx(gw@_
za3>*OT_?aQzpezSsHzSFfK12f!Hx{1J3Iv$spKcLSp|CYk3ZtE<Y2^#x?@1knD3ki
z)NvG2cxSB_+RGn_Y}VjQaDqyA-)PIe00M|WNl{4h9&m=Rkr7<LIe#A2G9jo(@{O%0
zLQ<I&1|^HGpPFyxkGo(}$3{?BEPC>K43_+l0B`66iASmG3I6pDWKc(=VMRdDWqb>H
z9^e7K)&&AHR~Hw_KTj^=_s-~30Tv*(9BZjQH7H)Y<b$$B7C~iNe=8n;1c}<!1Y9{r
zR<0<1`t{5UQO^&ZGR&SH9C&BHdF^B}n|sByy3BdLVBl7%)K!oDS``vDYD<IlCAD#?
zjHg@%?^F+GG4Ppi(@OgF>t^RAW^O8pP~PKqC0co8@+mD_vn+R?V9P?@IHq`+(S1L8
zx{QwmsV2RSV^PMP=QGbsm0~7ZTe(L0zvEAOuR{7P6l?I4)s_WJm<A&rwD1Foojla$
zaOovJL04y8bTzK<!6j70H3?@-V5GM~LJq_@v{|6poFK5ch|17WaL*wR#4s0t5poqU
zqwuDNbfofhSV!aveu05&-op&Ti(PPcpcQ)$Enq>$mkg~^mb>rCi%|ZL?!s?tNXJ8g
z2w=7Gh6uJt<}DnTlCQye$zT*ED8Vb~C0^pTk+}oH2z3Ed<eRX+zXf_S|Ga8cPbY_<
z7|x3EIhAxWd6PB*4N}sKr@ZtH5c^oALWWtBoOzy}^v>F~9G&}2Ui8Ck?_YgpKxAsZ
z)-L9)`lU0fD+(!ea5}56h{Y}@uxT(OaUYOAJ!&;9QOtQUT9OeDeVtQ#Dg2nB&{hN9
zo2Lu5ZiHl(H-Zz?gxnjHNxt`UrP3o;?WCPGm6C3+x+_bQFP#S2D7JHI-KzQbE#0V_
z=?Kxs-+^-Z6qRVf%N14U$S`h0rr|MaGDrF6r4tZEiUvo6`;r=UdcnN<Nn2Ye_)$)Q
zq9nMN|3eSrqk)F}9UZd(NK@MD-T%NMU3;N>KLNHODNy$dtXl@WRDXAR|I{@$3dn@*
zhJwwAyX%I=7F6nBx`;-hJaB%^(fYUtxW8-19aE0NIphorH4zUUJi2-F<{B8u_`DdO
z*NKMjef?^MwgxOAf&^{i=q?Cef{G(7U>rLc|AtyQR~qk=M`wd?IOy>D<S)B?7t75S
zl+s8|s+<&Ce@P86TLL1YN*`T;79QUy1BIf8HAbU&VLmz6<U}V#Czxz__lfAPmYu~D
z6geONxEX<m0l7BeV!0{d(O#ShIx!q3^8qT#%j`3@ZUw3=^xq>E!x5{t0(J4L6kFbE
z?pEKut<ErC#<n>PTJoiG1g$=y!_&w+pZ(Rv#U;3eb@!j84kt|O*Hn^NVZi5(nfVz7
zK_uXq2Dp*bxNb48<bdF)DAk4dOHKA&HqAVow~aN2Pk0eEFh5l5+Ze?oeDN%FiG_E1
z51ZY`C43eKXc}8@<B(*Nlv5QC_#xOSX?i$hlHGihhe|#?ImuM13J(hv?TmA=5gitG
zJ47y5mvP2Kn(bD+MYu^^<;4hA%xPwQ^#&Oy=ou-#C##8_H~!8s)(j{>kJroYKThtm
z{C}UClZv)4Mr0O6454}*-mReYPx6j7hh(gka%t~Gf@fvy9$Bo*)M*kU5_%Ysn)&mu
zzp1$Kq)Lt`ats)Lw)8$~VXolK8Vjbn@+&7uutB}IdO>%`LpBbH64t&@Zgf7^fijm)
zRM!nZ+Mr)aE)i)H)}GwvBlzBF^PIVzBNTZ@7Kcl-kbA$xJ2Xo33!=@am8FDJKZmHl
zcuAJNRrv@KgshhEm@8d+^rFxG*X>AOg0r<U=&X@_*X7TDYb$p;vD4Mk`qMQ_nJU<8
zjnlp)=jS+)lj^6c(UTP|THJ9hb13{&@WB-q%^>!{=JRFM`R&s&u3@M!N5T@lPkepH
zsf|NXDzkd)xk%(jnep_tyl_f$X@zR6r0XMsK5QkP`$%H6jp&O?f-Qp)q#S9eU!Zgx
zs9z<B#r}}qL_oqm+nl<9H`si6cFQj$<k_fr<G)X3yztFbj5`qR_3~w`#ndnSSe3Hy
zcV!C{^mHQ6TtzS4Y$=wHbE>saptkLiGN0XMms1opsc*iIL;T3<*$)RPkaR2Fn%bXV
z<**2cjIc6MuDFx_m*=yF`1FN36w8^Ig!{QL8)hOE$?#IE-YoR7GF`Y$u3<7Yv=h-J
zQKa4Mf=`dIA(&=erJ8H(;y8(<E!a8DnL=NJcACFKXf4$P*th;UYm{=0$~+)=hc*Jx
ztrVt}+h4v|&K__b0yveJh>pEM_W4+4bugPN9w&Li&4>ehZ6Ujo53+Hu>Wj;qkBBey
zL0MW^2@8#P?0Im=GBrnzmQ%|z_h1R@6w?OYRf9giBykcFTJe$#S>gM!#zRK(ZWPt*
z=KLJ^hPOjzoYkASt!`sK<#r>rj*rz)GJ5{`DjUMUcWIqnkxu0Hg`0FF3B{&st35Dq
zt_bn@_c&R~)yVxoM)xOB%33{ML;LsPPA8mL91D$j9L=dR>Z`8^+GTz}b7?877IW^K
zbC-Hi$!5T)t)$hgt|*1PlUx9u8nit_fBr~JO7fY!(VVpb@PWz6$>Lku{qB6rW8Yfk
z?-v&)iUr?ya|^S)9_ka-@=TWI9Elj&gO(hpW4Wr9B{JifA$>u`r^*c_^$Qr75jMsB
zGwC6M9=wM$!WH(oSsIy6&|+{4_*wUP|NQ^0VAEBWo9_T&_vBxtvxjHMYZRplc&-p{
zk?v8=S^sXxR!Z4myYGT0$6mBR7b;pON~to4kxQySd8UZVBBzP@dA4C}Z@$1RV@G5|
zkH4r1j`7N0IFpArAYa$SMNlQe+^ORJOno3%zZ1ba5=(RJVV$Oi?K%hLdl`{-WX$>8
zSr5O$uPtjI(mtoJ*2FQfXwtWan~7NX_B;QO_r$Fnv)~wgaITx#vz47SwX?G`YyFh_
zzf0ex!V8ti))odbAPCU#Ywjzp+^K4CyzkX3+=qiY|J`u>KA^8B(@Pp;x=3^7xkqDF
zzVd@=SG4AXkp9ctiop#toTNk)NLi^taz_HYL<*^Zg-o-r+8jzPjukNXvr<iI8Bgfg
zAnYe4%*Lh&M<@_WvInuksioCoBq>}S?5@VSJf9QAas~S@&veqoiO8JwlgMG(>5p9e
z#hO{4`M5{nA$Fv^5)ik~h}8Z)4pM9?!v|l3UR0BSCKzRnEaDHirtXu#JYQHw#_~nB
zc6iAydEJP#QaJ7Ng$mO$Ar&o*a)miEwMa^RMWmQ1GiMWv#kg((crz@*12CzuYp;^=
z5yU6CDS}~v=@RtgnWjCzN)(&8z`S$)$hCYtm5y@C?pxC<f^}m0Hs^zKy<$I*=|LYO
z&&iNmcH&+q+s70xjC*OrJGl^`dn1~&>c73?+e*_*<PX};o=s8=_J$IOmX=ni;x!Gy
z&O2ZA!`lHluXm<T$`{QSX9@h7<8)b+yGw*<4lwy6nIf6wx_2+-yt!W6ctZ&((t(nt
z>Z-gux7NCPt&k|qOdQ3f6|%VV<0;k&6DmsP)P;D@kKQV!Tug8ur)?k_5_Nr5+WBU=
zOw*Lf(HYyhbCBPekgWPV3#JY))dQ6>fni_6f7>d`!4qZ<NZ3xp6aKFf>C}+U#*#|H
z-(c&m?6Fkcu~KqibufXpIL(@QFz{aTXzQ<wOb;oq@Mg@`P#|WJSaKxT7xo@mG<@{w
zaBUl<Ay>dHy)bWSXWnH{GD4@$q=w)z`EOyUMR#IXr$)*t$TP(f-E354DJD<psurV9
zaM$`qt7vpJ0oz$hl$q4ZZaDZ7p>&2uw<WR8zxO+xefI6!ZZKMd>LMTd-U3FYUG?zV
zyWH3n9UZ-{fEDgA=zbJ^zRWXwCYMjY&5?b`2?%DG2<Bs@oors+5bHsIzA-X`vxpCe
zrxpzyk<+4lbcw)QS7sqa_GPAyLlHskIY9#M&A~w>{;Y@OAtZ9D>%Otx*lZ6~ZpJLR
z#pP<2V$d0#N4O9kw#~GYVt+bJ5^khiiEN!6(^4(Sesf*D!DG}?TqjFaDW_~wzAn{F
z$z<aWRRWF2)vNSz|LxE5-&l;0zqJrHR@<2sGgRtaKm8$L(S2VdUiXFhYI+jCB|gAc
z#@MXp)e;9s<!cN^@=QKF&Z_rf6>7QyF7_?;Bg83Bd~m}X3f-%?f-+J)dR)^ZSNWX8
zDo$~QabGzz5zka&iW<@m24hr^sGTFZ*IIn@f<>m9jw1=BqoM?68;^D;o5_p_N2C6_
zUuW3p`2lu|;S`-M1`($R6Zi-Xjk?twR|UZADP+z5+v%v@Uj;hVt5?}lSGOq)Fn-mk
za6HVp^;Yj%d)2##T{A4$X79*H80dVNIWXi#*`}7_@b3BLwr8o09&$#%G2?%nW>+aP
zlqSWB`>2@J`pyTnzmbJ%!L0h)LxgzYN%IUPi5L0QZ#w(eyOL7<(8L`orr&r$%l9Dd
z85`AR3+`Y^fVvx(>-Y1G;wLd#A>FzA=SX6PvgJpIgc-GTb+0~rm3A;}(f!BiZ?PQD
zJ+IOwwdXVM#c$ts(-qGPEjhgKU+d6V6_*qngV});NAhn5*fV<qYGd|qKbh`>{5$Sn
zwq9P-?O!{xE(i$;c|YGUNGjX84QFVQPj`ZP5wg?;uCf2swnk^NaTIOQX(m;8MfhtZ
zNvfqSEE&h|@d|IaP?1HSLr(kX5A6%t($2XAhGAWNph)>e3mW4}EUeak?Na2V?Aq9J
zNq5D$Dn!h1V$H*{u^MI^!Yi@8)LRt{nV8wXS?#uT9$_$5iNR@xc3WRR=^G1{6%*gw
z(dy^Q-4#Z$5s7W&v$GJEa(#DI3Hq~cBx~~TT{36M&~OCNo<U8d0Cz==Q7yzXw^5H=
zuEICB=^pun%bXP2K_c+!<i?HX4xapRm~s(Q?VZ2t@(axWdW8xuzGtvB{B0khEn<gj
zhaiffx$S21P4a<c`WF!VaeBh{rI}T?WG9BCfAyRfvMnWU>)Mcbw6m>L8G$!8CYdC%
zR3qS$$i}OGeRFsF=+FFn;>Dk;+pm-guC06|R>Rgb8u)tbm`m5b$QoOJZQklMH1KQk
z*xPQaNfAPKBl15*b~m$JX3GNPJw@d>E?PY6?99!}TR7PJ=RGy**7xDVhZ4mYe5?(h
zE?2Fyv+}(}3eMw8muP4te%x5nRKP_ijNKayd)1ANSF~HYyMKdWg^q?M+q9vl=MpI~
zy#&h0f>d@0OH?YGK}RVNFeTYDVab17qZ{f9jN$b+)*&H3p*9VKyh#{hc1S@MT<i%L
zkh)LyfouX3uczPvhEU!IFLbW`J`xDs()3+(qrcV#)z=NENnz-c=?JbV7cg-IQhztH
zrlyj@3Ipd()V1u&;4hk+8K4$*a<nuUFg<5;q(kI>!Vi@o+Y#mA5?@($<S2WVmDo
zWjPXBOR8cB2QvJtx_;8{Wr^*V;@PQv`iE-VLSkGC-^377ZSoZC!6xpVG0Q5tiI*}Z
zO1RUJZgD)+ktq)MoLEb9ISJcdNzxr-@@?N=e$VKBcs6i<4I@0<+4pQZ&9FRl)^a4A
zr9^-Gin#bnduaTn@_#oc-U_=W2}wzAj@pUa9P-Id&L5d7f7>0r{K6a#VFY>_S>*!5
z-m8EA97B*bAp+=K=<=OEe;&<aMh6ez*qVZ}UZ(L6xLke$R#&z_r}0MbT|d7glygy$
zW!(wGM8K0cKAHsCPR`9jNl{S;nj!ctc1^F~2leT^vQM`1enH9U_u&wzCoua5_Yod5
zBpPFdqirXUB7i*srKSS!|Kmc~hg4Mv#->BS6y;?V2op=R^EEg)2okQx)x(E$Po@!o
zF#rAapv%abmX(#Y@Dr`tY`;T#mc&f#J6t9V1QgFHP$#<Z`U;g^AjUn1jg5ymR*J-N
zb19dzVrXw+szL2WhyOs38p*~9kOHoxQc!{nauN|Pa<Kx#ivjy!2ETeM^<}~;S+RV@
zp8o473B4^+=>bkY>i{(XJK(8SE#k%A4wI<5vf1iwWUlp}7QjiTf#Q1^pWA%@|1I*N
z!9nbc0#CO5^<5_@4Vbi5EKX)^p)P~dEc@2Zid*B`c8}|Ufxy5#4(r|I^TY^e!hO{H
z=L{YHWLf&ChlPcKpSk@HaFnB95d0CCF}I(l{T;sc=K!X^DD2`piU@w<zD%}=O8nu?
ziFRuMX&=U~YE@&j0(T;gBmd7koNKSv)_P&F!^QU89L+$c0jvmG!Y44$LIKrq`9Cf6
zeuQZ==m@~d$4!^0!3{W#AvBT(#+H9x4a-8d`qOI8Ba8NF_M_1o_hC@oD*d5MS?;s&
z{xp>wsl&+)niTSPr25L(cogio%vaSh`ZDMwT7=B;Hy|TP1DPN&eY~S2$LATx!;-0H
zL4VlaSLQ8oRvaR#aZf!(vfFs0klmGlwbMaJ-x)V)Flgo-QN|nAfDAS)(dR<v1`#>U
zc}y~OJ9ZT;g;=SdR{xwMf<3&fmJVgezuT7`OMbr{k(i}fF`IU@0AKGu<FCH<uOI<r
zN?65^Tlx;e*HiGj0axb9+TEXBnjmKQ+29%Kc8l>3tmHGmQ)45ydQLxfNc}wC!wClg
zT$q&jz#W#<r`xr4prU&oa|{afYd~d<ObOZT;Dq05^Z%c^c4@*sRFC?w){ic+03iB?
zCHS*QuzOD@JgHXqc4F|~-O!eqI_xJ?!xhvK%~HBb_FeG#42j%1XW6D&HpvQsIfr6R
zT_*1A2FbNF1D`lVPTsk%+JQ*vjwljNf<F~XBx-~Ao-!d5Z@l@F$xWJ<<ryPmN=zxE
zNJak4b+Hj_F%41j^%q<M*`+)wKBcU<*D3J!kqI7c-1+Jc1O)de*qmp}4CLmbGc&0&
zMil?Mh`7f^7K1^nfrRrU)5pJIZ9<3Xp~0=?=8C#Hx7F*g7V!}9i?be%g1v1!*rn<@
z`wmD#_P|bVHoLk?gn$dqv%y3<XB{Bay_hKO3z~n7*TLafg+h~Y!hv?QbjW`S>nPxh
zrjpD~eGBpqT2Y)LX-ho*cb4kT+b0-UET(x|PqX<7VMbyVbA(!*F|n(@EelYutD3#>
z@yp!3DOW<tX1jD%e-?rd$h-SVh`RZxyt{#$+d$3!ln>1+oKiIimDzn){(Q4ZKYt#d
z(fJ-NM!DZW)m>($Xx%bd8gYSzgQn<rYWbV&#fs#P7SzSYtZ~&`#?J92jt}f2vm|F^
zT0`xGMDxuCa(@Jf{r+#%_Fx|X&6s`t_i@lLreIHPZEcJ`*v-1WLCbUUvU!_pMx{$a
z6V$BW-NZs<p~blhwoP=747(aiTm;_n7NDeG!wV;lNFaX%Dm2MI4Pe}r0Ru;9Xy`Dp
zleK!#hvftHJqj~F<S!U7q0jnzgtLhL;>EE~hp|A;g%>D_iVg%y{V=DFp3Wtfm3FIf
z^288OOR2>kV1^&Xy(pj5qn6{bs8q4*JhI{|X}WXWOK$12`<)4xyYbYj_^c3WSqnSJ
zD_O)VmC<;BQ7fph{9XZ{Txe8IPLh9(k!ygs^}5U#srQ|aiVE_Vvp6itZ&BLo>x-7d
zV1`#8OHOm~OYxVdO)h18RZr-8RM{`+nU%&f>5sB_9K|+hHnz1HEC1j27iUX@yc>BJ
zy!Ks*Nj}<N$GSuh35Q0nc*2L|z+V(+2ht<l6;Kqzpv_lgAM`FTE!qR{(HST#P%JVm
zDggu%Ip5wnoItHx)UsWV`#-(?${4-rdv!AIh25dXb0bTG(Wv8}XWq{-exbw^NPhVN
zFQOb%S!wBz{dfK7s~bgkpdcW0n_UA7JsF_^ph6<EEAb3Y28Dws%4TT0J7%ttty9Jf
zvCr~on>tI$l`SxSkaHE?wJBY_nA!QY!qi@L^uY_Bx&*hni;t&WC^#F2BI+;C&njrB
zkTTU?>FF0tfChyc+w7Y+UxKYAzIx_<1R2)P%NcTViEJ`<oIyP^*R<|wGRelB*eEM=
z?+{PX@HuwhrHi;7rbOL?&4N@-I6gdUE?s15jg|WT-|m(uq&?SMAJ1j_^rG~wi@yjO
zohJ?)ggao+yS@wjfp1&7VYlyPX=!UW-01!Difr<9e4GFogmLQg?>kGL0Ax7qg8J&$
zk0-s|fH*3I#}P%D)EI3u>;(;D{=~m{XSHk)q(>jWSMxrP`+BbzBoCkrlcDZrwS&P7
zyqdtz)w2BM&18Imbl|PkE=et;VqQw6gy9Wrc2=kSiPn&x?5^ZP-!OhA*tUcy>>a5^
zj@snBe*NW=+4`4BY;uF=1Rkw3P@7&hsW<Dr+r4<Zv+QQ&xQ?!__~$}(r3qKwY`z7p
z<nH&{fFK0TS&|ZqZD6!5WRr|F<1#}Ccx?7kbMC&M^+FUi$(X8U)+26uq&^Kh%BG^F
zN+C_MdlOWZ*&RO9D~|;Nc4M1dSIma=T6i_Jd;gvHHUf`A`?jVX@5`){BF?@J3Uc|9
zaktJ#jCu6C4v{4%2Q}}kmB10+l?I-sAsXfnC!0H!F6iTm!r;+{`#N!$na1hwy|A$L
z&<69C^T?0gw;{i-+pc$YAB@IH-9zreDFqE^8~Ab|3~Y_ZfKX&9no3SihU~XpAg|fk
z*}*Ug^}jz`{mzf<hyI15?CsUH{AOqPf(8$eaK1Y2)sl?1Dto&{cA+GTcx~ux!9iL`
zKRp(=d6}VAc|p+-GAKU<cRmuh(IeCTZQ}06(AN0H;a{;!Ub%0(Dm@ll(3cK$u9jZC
z0{5W;EQzo1U!#HR(EA5v7&I;+oSb_o8+$v|S&qffX*hCK@>abBg`~%z1v@FmH1iDC
zSk-B{;`<hhjp`29H`}>0d6z{A!;M7X&Uw2s7XN#u?4pP2$Iy`6BPkK51#9;t<x1$Q
zBH4FI)WKrSymKHRGK%Q~bIgm_r|=Y0TPTEefgecvFtZFbvLlbdUrt>_Oq^u|*GJ$^
z5KQ)D5qFp<ty&+$srwqJmwYMHm8I_?e}Eo!LuN{ZU;{nw!1ND=+D+wYYgf&oTxHNR
z-gpaV`_4xph18W-j56bGX+RYCksaBeZiX4;7@lm)XmI7g+bp}eTmrq(GMvY(Y!Td6
zC+x(PRaL}{vUfgDmw@TtqQNQG2?kz=TYJtP9#(Cx5WAk`$Y8Zij@{qa*EcvAdF5BD
z&~M(HH-<DTBK{xbDh$+5H@pj{9v?XU)r<LA)oH^!QN>dF{^85)W#h6qgpZMsdxm0x
zt;og3zRp!wELc%oz?EcvX(?ue@81spW*b`S)zw|@?o@V5Y~gr#Q`^nF(`DeBah*w&
zre)S3c>N!Bebbmcg-LNQTt<7=LuiTq8<v(Gs17qwl>0YX(T_f`s3QcU@22cwPKOkF
zY)3N-?58?WOf|?bu@F?Z|2!rTje7vxfI=*qRPN;^$V*Q{^Aw^_Fl+!;=c~HL{h(#~
z>OKerLGw?8+<}lm;wjD`QdB+$wOa4**S%Na1OV?U*PKBE`9TL^NekDc!!E^*d>Z3i
z3OT*=3E5;wg&YYIZh+6$>4(9F^)_%ce?pYb7^%j4OU|~`T2fK5d6FR$L&Wecx+p14
zuF8%jHWQ0Q;*(l)zb%WTMxm3T`5uY<h}^Lnwmg2Zy~$GR%;FcqPK(Q`SLGf?IPXV~
zT3BUpjNVqXI&6jlhIipO>EFKRH`ABxUt#pF$xUk?TkRq+mU9CQ|Ee+SgnbY7#zUJF
zMr>Y_G11Y_J-!YXVg20{2s=feaWoTkcXt>1<fxAMB<%0rUj}K~9>B|?8lm)ANNGDe
zJA;B|X=#`S#F~HJe3A`R7<dN35KtU-K?MZ2?fcP@8aEhpI3qvr?)JdcROf8>#vWQO
zf*cY{4(iY@`!nm8KumkRxF{Z2(rnbcTyML~pLot$l8r8$Ib2XwLNDEb>6{$C788Cs
zrdV8T8mHN+LT35hXXfS}o3AJEwZ70^yy#2+>DAETY1d9C>2um?{cF)}mWvk?UTP?M
zl`mf;h^>&H{<ur5+aOZzrlyOuDYI`T`%YJWU-Y&=EuUFWjZGJHYt_kPi26J_)V>L_
z4%1Vff0`-jOIS*vP;`u6#pr9UhXy!mLPE#0+H-H<j59rrjvvuH7W9gpEH9$AatNr9
z0$Wl@NJv#>C2DyCDQW?F&P#4UbqXl$?JTeNG|!;s2p(Z?Fv7z87$uVhetG3x`t11i
z$_i{rXzHacAVYA7=p};oZ9vI|*5z>ZK~ndy`*i85rA@#ely`~B(E&+u4DNpWd)g>5
z1f4*m;yd`bg@d@dIUr1dzCA`CO!`h>_HblG{E3TuGl@a^)#qL8F)?gaSDGRr3%cLy
z?t<g;b+g#2e4`JHgo*rSEoI#UE<QJ(#PPlDCQQ21nsn)P%7uENYq=IJE+9AcO@!^@
z>8rm_<@@TW2(9Y^as0O!#g{5xIplBRd`%?$lWO8A_Ygx-5p!M5jZHrMemc(Axyzy(
zq_5MH*m=CG@h)%PvlWmIecS2pi$_Gc*;te=j2j`?@}SZs-*@QMmoH!D=hJsO*LC14
zX9meUl702RRsBm0#<)c}IkYr1pSQQA7VPyihZK6LR-Sk=B3)2WSO?7k5Hj!GIbjl>
z2hp)`JHtl3HAIBvSYP-M9ObXNYT#7ts~KfIifL#2Z0BI&$-<O%`a6^B-s%_J&_@Lc
zA9YRwIxI5{CeJY!eiABXs^IUg4<ymkab}>*Wl0MbjZeGye7)LDc)EN_{~;N68bZh;
zsamE|%5g#$D7y9R_V~2cGsg{33>c-9b$zp30&G{luSSi>>qGHEJmznxV~pU+{hUhB
zc+G8zvgp8zSWC-@hjPguOpAZRy(Xhb5R#sB10o_KC*hncUF(FEE`_<$M*plx>o6+1
zzNyJcOgRVze4a-{trkhmqsc{=_~Yp4%bP9J{AENtT19#6WKiS$oQpUEsd5Zk{Oxun
z5rQMi$wv}J-{X|aZN5$26O|W?^^&AkpnoQIl|<>d%EKgkTAFs-GJ@Nc-XEtGzadXJ
zID(q%eD0ChmZ6Ojeq2Ne29x&I>0r93b!lRNXwRL~Z;(fCwN$jnL9yw$9=r+%|NZ^P
zdq3BeI$d(pXVuu6;h(^ajd>87Ap84*pSsL=$rQ@d^ADXxc_MKO2PBD2In}xGm=QVd
z&HR{drcx4?tTB`YQt7hNUNGU5C2-@?;=f-zJ!?b(>qL;*RyfBpXwEhXHlC-kw%h`+
z3q69#)5{b?)~0H%t?}>bgC*X{Dj0%tSP0&JK%)Sq);VWv8z~zavg86!;)e^2(pPWM
zoX_G4r)X8NDV(_6WMiR+#dgyfpA94T{^A+`%`9w%a1l|qQtbK}i3q<qkN8}^+Rl=y
zSr^Lg%Z-mYi|z<#jYWxkSpQp*zTj#+*Xr7qJM{@THrjK?p-cW1>Ap9t@R;$VFj>ya
z%W)H81r24BV3KlIq|ZJUV~(tJ8J-;Z*>i(G>+tj!1euw_><H#yS)K!V|C}SfNj;ek
zbB?~Ct?PW3yZ%e?Dob=lS2?Is-j`Sz)3rDxYJdzoS?Mwxez?-NGn?{(WmU(%xc+G`
zXG@K0ACH%sydq=R%p{*L)b5-$_09#!B#kU?`$Z|FP|Z!O7AI%E!@$%tPl}&~Q;v(D
z-iS%(vkEpbvg4UFguS6hNkmEzTb=a)`#T%+1+B(nF3zdr->5y}F!Y+uy>znjaw9B6
z0hFCdWiE8gO1S!U3m;{3)-gkr2%bEPiAredcz5R!+Z}ao!rq7Y_fG}?5DO4IoFF0~
zNJvU5gnl7pb~b*&())KIQ_pM7)KN0CIgx%0a%><%{MIkdk`^mFx@dn-#>*rRC*#7Y
zPBlw)!k*b!4N|XT{BHl%$#MRH<Vc1-a}vE|>CSDLOUWu_Ia))a6D&09`jgljvQ4oL
z;*F#vT<6v!zV)%s;MHAbsZ$Rd<(%Qs&TJd6U*)~0x8)YSU`KV?(jIX=vkHEJ76A<l
zt_t`9UShRwMh}_r$e;!?%cR7Xr>TDMNsW7;=9^ap141HXnIcS`ugN`7ak4HPVzo3-
zbJF2|*|wD!u{BhPg&-0THXk1ywYIkxmd2F)Zz$$t#GfU-ps1JmD(>7qh?>n#V%|-c
zD00ePaxBrBW7EEPlqyS#onw=RwRpfy%~zzPGVzEmE~k`3?(%k`WVd9a*v(hv{hAB4
z;x6pIcPrUgK6jd|_kE#3`i$B+=@P}o#7GrfMRV{u&XH)J#}n6Nepf6sFR6Duv#i-N
z?fd;j7yYtW1D06x20ZzpAbFCj4I|j!FO0{&u;U3V_%@oIn~Ps|TzjL9Fb~1N%l9n~
zOBxx-IFu)e%!=GxuMC9C5Sh0=p!{u}-IqFgEEY7q%;icq`E1<`K4DNRc=gL`C?u(T
zk0hDw*y#jTUPU^5pn~R@{|>}d1!hPX#L0DQZRqJ3@lutglPMt6DMUC8T65-}(<KLK
zi-InGm}+<qCT_K}N|9Myfv(QdHXS`wpW~#$T9;pPvgRW}X_H!e{7KJWz7(G9;J3u<
zn~9AT4*wvB!G_TfC4Dun=+;uJ1BPFOT)Em~+GM3DCw481ss)wbG~ymFom#5S@VFbP
z;T>v|a60~E0ymY7;5m1NZ}7%|KPZOdV?Jf}5BPGnMW^1OiKO1*#o@r1m1n4!Z|2o-
zkuN%!Nq&io|6Zh*%7{G+7aQ>O{C)-7wioh!rw*am8Iv?U-2b<4PiCO``9=dS^Rl}*
zZp7@%b-K7GCpcBDi+H|K+^z>ULnZn#gH~jYN>|ET+J6jV=he)dNceT!X4{~@wGrbX
zK=mXomIh0(`wc0T{po7FJ|i`|T&;Q$%=(ZNgsVvN_VDy{h3Ot)-gDc*Y8MxLOTGKf
z!YM4nyf1%<I=0L>9~oU^-uzx_P@|TP7?gF|uvqR~ntUWORGtoosXj}))9E+QPXwp#
zoZK&uKq!s0-b=8UB>K>k`Ij~+j2auP_ZiBoc<uTOQ_C_r8<Z8}y~D_23MWzEc1#c&
zq95M+`W1rxK>F?~{qK0MnGIe-&@KEbup^PK45J9*2ph=iIaP^UTxf}-ZKzS(k-xC?
z$Ua<3O<i7xW=zw<Dq=z@xL;L-{adDA)MK|c3sE}9gww*M&pJV88XxYx(8QqQk5dU!
zM_3RIb$LA-$~1!M*l%PJOnq3bG@l*o`rADwnzdfH^VY!(D^)H3y=qxkAuh8XO9h>V
zLqe4AUg4)Gp<s!yOSf)QD~xaEUno1?|MZxFUy@pjOgBQXk4tgpUah7p856gmh~NT&
z2QF7R?#WEW2|W#lLb#v}h3I5(cA2buyGb2`lpjD);niiv8xVgf`QL4Mr3o7BpuWE&
z8B@Y*;OpD6A%R2WRb8t41$&BImb{osEp*YDQYrb+91~Msip{!}&XO$gU>SRilu(&(
zPo9G=vGdV|wmS*uh4c&A{gs*{RsmKH0v&4%1Tzgep2-)^!f}38N?&YV5ocazex?4$
z$B)p9v|7@h6V*O6x<<C?&#A>!Wms?_3D>r{v*V4A@24kI=eB)ux?%+W=Bro>;zz36
z3ca3nbL7Gd$7-XiVGAC`elS`#JgJ_ddR-yKfQ1C%mXGfE{ORN20R0L0mLpT(fKD5I
z5HCyp&tPp+OqH)BY+>i~XD~OllsRH>f23iGqG+zIxI?DiG(wQ4_0yiz++R@Kqcu6F
zPGUP3H&RrLg+}h_8)`(90y_v%NfLJveo5O9{^}iL+`e!`eOi#d=ez0`r&@`X-z*k6
z1LEi3o2geU!Z^BMd$_pkE+nl#do*_LQvxd)lKp!3($EjseegaEB%i(EK3Jc!W#Gs`
zbndA!r(&LqpYnce5@~K|L594GB2rZf+MVxw{ChtH8!Un$ckalfs<l3O()%V^;lJLk
zAxv*CRro<y|9<SGndb{<xsSrNr-QDzDl1)oa0P}>d6DdQgKno0i@3P5ZCWYoO-t(*
zb{yUuk89@%^s;iD@Tkkj-4cz{Vh?4)Ddg}*jRdz+XcXVFwx5#^{PMRY@RNMNg5#f)
zqA8!u5YN33DLlO8IFdeWJPitmL_Cr6DkI^}*w{@PV-@K|2D`=tlj#IfTn6z^F*0AW
zNXJsxGW9)<jAUmH;oR~IoPCn@tO$UFcf;r_IoEho{G>!(RvR@co)(2n`WE`C6&D>Y
ze=Cr8N^a{%Rvks0#zCqpBIME#vzVjH<~F9PFWPEqIeSr8i7hr;W=b<jXp!yrwkKgY
zwI}6iX8mS%EcQq&rlyjD#3<qW(Z4FBgM&vVVbWiJL@))brgTX_Fq0AnF#<m^xaWSE
zrHnW@P3Cu$b>0T$GYF)s({~0K{PhEk-|Q`?v8%IXW8=-xd%WG!8m)<@lO~}XkuOfi
zk6?0Qe}%nLCw%|=IuWZs?=Shcg9=oR+AAMI`8CAvcZyZ*D6VTJy`H0N&V0NkoghB!
zorFfr=ZUjln7rN|;%>_oi90ZT9NN&fc-AoUz5L-_A19)SaBTH7rSeFY(v*nuUzrB3
zKCd1-8K(qKsXJB=*<TS)T{ml{P~xpuOfr!&-;oVA6l`U%YHqe_uD<lA8T~?iB`IYE
zNCLr<Kc{Y?OyKStEe_TZt|YhjcV7slK4yD(?n91}vI(ISpQQQl_)2;{7xiYqkoUOK
z{mz{1J9)&$Qe-`2n?ug3OoqX4vzG`Z-=@!Lr|K1Q8#`1EHEp~x=+!pdX)<djQh5tz
z(Tj9+kt7=2>=}!<tFPU0zI>ulVb|bKKkRQ+Vf5{pP$iiW?{$}o%oUBgj7JiiX<Tdt
zKP+6=D)ZiF5}2Agu$QNd@HEtRZKqEL%|29+9Muk?RqZv-C-x97a+l8<Z>oCh^cD;K
zQUt`e-wjh#7)cde8pn@eNh?(nGd>6}<x1I-t?Hi3vraS4dD_b&BK<v5YPXTHqIn@$
z2S>+WO~-s;e(0Iy^&0WzbUqE?1#i#Zxk6L_w#p~6+W`_Q+f!-o9GxAO^_nUbb1q+K
zaLROWy}{Yo3qhsO{us~q^CKp#3UgzSme;2cYT1xdzxUgO@mb0U5>%04RQmbj1)kyf
zws}yr65hF{bJ4}EqkoX2SVK8OW<4a`C&O*x`k^ZQS2mH=hdx)$NBKKi4Pb)L_G}_~
zbO1Qe;ep!p!|>lkDKHZ#GDq(Hgu^2Az{?7#6BxMO4d*)O394_V#8u?^(%~2z_Rb9{
zP&jH^y_qvv&i2hcEBH~M6IxWG#G9?GZW7#XbaAitK_@5nj{Q1W>iehsE6a|WR;%;z
zYB<8(hF1tbXA*q!9dcwYz~j`(6?I8oA4SR(+^)jvK-<Hw+xfWPJ{<X~!OaZu4<p$>
zxQNUj*D<)6bF)`yQ8j6HP9)m5&RdTj7MQ3yuT`?wIQ2FZwTQouew@=lslZjDPD0B4
zd(ru{9Nt81n$w)NhBfJXKSxX#78XwOFcCzs9jNS3o733`?7qo4qQYec56A705Llr3
zzg}W^#R^8=tyiy_i+}l;z#)UIeTjB$Lno6yq|%ZxP#1S;X{Be;`DeP92j3^nTZ(MI
z;<ZeNLp99$+a-5f6<m^HU*a<02{;}ua9kb<2sR9mBtNG=;wHv7EKYwoLo4D`Y)HB)
z-MTnT?>i2@Nm>8x`R#4jwd1Q(h8pYxAFUt^j;CUTOvFW16Ka;E4T+?O8Wr&QDwB$C
zTmHmLEbU;vRhzV(R3mk3@+tYv@ob^)V2)EQm&-ED3@#b)soUDxpk*y4CI;)kJKrIq
zJAL+0X6+d4`Wz3{1Ij%;JUm=nXul4l3pqv~X0gqVnx>|vFwzxPY3uBi0%=FfGR(=`
zSG$581fD>{Ljagb;LPpW)6EnA3Zq!=42`i&K5_*#j`SJh>Ci>bUnj%YtRLI-55|#S
zopN(`mw|8tG%}*w9!{iq%;Eq>0R}6Y?gh0rd^9vu7qG+y^!qStwgM$Ld?=Xl?7r!M
z&eocW%=3FUfA+8o^7)1Vi&7-yhdYZ!v%?730j{oW(N{yqA9(SP^2ZiU+Mh%*T%E*@
z87LcT{Qgum!)PM?o2$Bt+t;8PLQ(GF9KCWJe?$8>F6wQO3?A!LEM!XYtSolS7n<9v
zw>!IPuxdv((kNy<^JD{eExVK=kDm$>0JAPIFi=-lx5<pH^hto$eC~+F`}Djt1Mp%&
zay_WuPkW}uLC0sr^TNA6ebhnN*w`4>sXiE?OZ3!MLf1Uq-L)zVY-vEg0bGI_BS1QX
zPa68O*0i|HX>Z?MhnCgr*G&s7usgm&Y46~j4=H@2`j<)sFwYP^ibu`?aL9z0ZE)e>
zszyK;(1^z$l8)2IHsQzs|J-wXz6LxCMSl;k{XImPtkeAf#NCBt705RqPG-Du{rWSw
zb1-8enQ1Mvs`yU}K;3)t0><br$B*GgfVvx^8#jT&Z#?YHp_Tm@oTf~;GE*Vo`hG8A
z-Ri7QKm3qGdj+%rHAZ9#C{+aIFvvuZ63M(i=A+pE=^sh8Ka>p}PrqBs#qKHMl8U$Q
zJS}N!cC>Q3rEhZOg%weZhMD5+2O?K9dq^$P8j@Q0alZDSWjg1vdqh1h7gddL*SVtn
z{OkVBEaL`}=UJ7Zlfy|;+to8Y`r%lV(YCNIJv|}MYlz0pgD0c5wpOFU0QMwUL9Aj=
zA<Dr&Fc9#3C7JLy&<d$1hiy!-U0J^s?8>l6b`QhOhO&J+WE@A+xeY55UT%Jz0)@um
z6lymPeB-S;tB$U}P%wNzA1i(X=xl%5U*F0Tb{ze6dKh!}T`-tFGWo3_q~!oKJpdt=
zR8-~IeDWz6lJ~Bl-R<B)Q(mepeycNZ{fy^bX{@UH1erC1s5ain)Kpd958^z2A0&t6
z%Z8qT<UvL7e+xSb^KNg_G-hEe2wT9H@~b~F({hQ*ZKFWhIBSVe$EZ=VRe`d=hs|H>
z5y_WVeJ$)$CJECIM;mow#mV%wba>xp8}WAORkHX<8H!wJPNMI1oE?Xa<>@2ol|VeN
z>H4;#-kos<*`aJE+*mH!zA&@KbMUP1or8q)xk_zll=tlI?S=pN@uU2ygc1yr=7(i}
zG(jI4jsmE7yA92>1n~WN(y#h`dvgF@cp7x@zCtr=S61pOcQ2Zt*bDPe#Y9+!g;M@J
zB8=cm5`eJs=_!5q<r~AvjYd4s^eYngSW#1!*mqxhB8Y#RKzL|A{mDY^UHdor4@ado
z{NI>eCrw&dsg~1Mc6otCIV{GzGtTcZkbf&7>h+GcyO1>fbrXu14>-d1k@k^~s$E&q
z(uDa`wR42eElAUs5Cv`(s)^qZqUOg&zZ>b^D|M#9*zb9=FbYsQ0{WTH@peJ1?4N^V
zICTWWb`?@YhTV@Q4?Vvi07jQOgBlWj*&@!;jLW9Gq5IH5?)W(jf87ba_Phz}yQiDa
z)@(qBKVM@AK+5mHD%jP(%V-yQfAmKv9MNbfhJ}ROlFl6Mtt(qcaA{Q?F05G0szjS)
zChWTn+)5rJoJr~oGSy$|$;mZMUC8@wfAPK!_p3Bqhap_{S3h<Z^Kbpw9xi}<9<w$g
z_yUMc;E3+aq3qDRdG6NI1{c)Wu_jTta(8d8$j!;sbH8BV=Rc!N?H>@Z8+u1P@9i`1
zy~%y($^wgH>IX10Lyt%9$6Q*sX$fU~&U0k{u&Gjap0LxOG9#%%ZMl%Zvr+7Nt+TI&
zpQ^&ri>v+zlbNF*D<8M;uS)hb-~ICrE83y=)|S=;S1sLTKeqh*TVK9a?fE2^`VGLK
zKVh5Uf1i-JXV0x+LqezX{c(!B*L5qat1L?zqi;i1UO#Jk_AKP!{R@-~Vd?z>O>zVC
z<FJs3=bNYATuoQmE}!i3Z;7wn__@k@A)3LKX1RyB1m`X+i6hCcx$zP2hn#O(8Mz7s
zULaHXY^MCy+J0oB+`UA6^@YOz-$%r$?Wg1y{sy&e+lO{eq)`ms)4FKzTc<9-5Xj+l
znFToLr+an1c`bx~7<>q@MJQsu$dOFi;EJ~ZDR*9;>IVyT+WZ8bwSm<{kk|ks>Bdv9
z^@%HMT_Hb1TCV(jIU3Mf%y#kq=w`E+J{!YSq_KBX+Z%Q@I)jJ?<{hsJ+3iQ-zm*)K
z;v=WD)G3Raqqa7)#LtE=i>qvx*5f&jY8r=vJz4(y|8C^tYcM+<X>Wt=$4G-+>`wD<
zZB5NFeN_fA14VOqUCS#$y2{GWIv~pL&7>tfxd9verLQO!C6-O3IjP=V^+NP?ve<~q
zqLzZ0A^FXVr42+;S`nWc3Ih}^(hl6!n@Go-rj?CF{5st(^P9Fd;C@Vdq`4r@XZDyW
zLnCqaEqXN&dW=XC*t%U|_k<sJ_xeWk$J5m{S0?xytZ6qlH`Q$gl%Y<F3K{^U@$3ou
z*oWwbAIl`i!e$WQNf7Z4eO;(+ibVYHW8t4PMdy@pk-5jIJwA9!)*}`jbFPVrd8;8u
zGTuJxa*0-k(br;E{7A+NPgv%JI<R!y)Qz9CwnCH`qxv5f*qY&W_u36U0?6x*w&pms
zb47!{eJ}^BCAcMv@&^7Nd+!w$RsMC0Vw(XGBq}I^1j$j7f(??2C`E<>C1;c*Nl-zM
z9EuErEjbHCjv~1LL6Dq8$r&Z71kc*g|L=U~j{9)$80YDX!xP;DYwy~7{Z^cFu8U)c
zl>V>H`HRHFPhls_+UlzE6<Aw+002Mlb(KRn0x<!w=rk7QhAdWi^Ag}q838NvT&5uU
zKQ}0Qjv?b|-g^UitCJiuObG#}bj|S73QG2dgO?myiGP-pp1&KhC^^yhPTzAJ@6}x?
z;aV&3wHaBXM<aSve?7hr5P!%<l$Adkje7k;b_+qY26&Z(!?$LD4Z3%~7G-_?SPI_h
zX==>h(h501Sh@RW{|I-8w))_68cFP4!6IGA6%Y|r1gm&a&iK{Bk(E8Cw|Pm5SCl{%
zGh1b(-K18ewWLK|YPP2%SL?Q7&(>>kup8H>UcY2|<16t}tmFViwh~MkP^`%>j}PHg
zo%v{~6(XB%7H0rjNW0Jxp$Kk4X6yiIG{uD*D1ZE;9ImM#4sb9eO0lTCMzExi?Q-jt
zE{s^b5eI~mEYHD#7!G%p%Xr=84@0r}$3zfeA@9X9E3N^)s#j(HIxMfRgCScvmf9zb
za8M;1sJHLatxMIg`H_Ozxleuy<S9LHsw{x>E5w<T>pdVgRl4O#zO=lI=y!zgC?hYM
zpg}SooEHd>S3@%gnP#RX6VY)m7+>{;KZGRc_HC1%8K>Oh&q=)$F6?29G9CUevOAVr
z<wZmXbT*cAmG2TsGC}^F-dDiIg)A;x1*IDJdG1>TEqlOU-bz;KfjD34^r8vz$xJWd
zdMW@SS!Xq7Onq(rxJpXu<qYlHpxo|aGV+$jRR>nG$Z3%aw{Afgq|Ld&eq@tVk9A7S
zKSFL(;k?-Qwk{RaVqy@gy>uyncq0u2E>7CqZwOaLcOaUfa2E*aoYMRyX&2|@sJsdj
zU0aSq7Lw78j^62^%_(3z{?HAu&p1PmMNMskTae;|$_SuvgugtE3YY^jGXjoGOTJ2H
z2!$0VLo;M2EKqxN&O+W2(>WVIvU`x2m<Tfm4R&VcSY9N;5r{N)y%ybE$^-SIyNAUv
zPJ~Jc*o+906~>wUh{Wex33r-2xK{^s2OMDd=~X%Urv$Rds0v1u!lSwk3xCtY)-U9z
zfsEkvo&W#8(z(OEy(9$=G|j5CzZE3tQUQqSXoITcaSMZh;PI)y|L3otp!`4jX`qSh
znTJG}LPqM`mtEkl7z|xqO@FxZpTB*a-N-v$?P3F@aEeJf>-^lrk^X)``*9J5=9_b8
zOwRa!I;y=1=&(0~KwYxZX}*IO^ZEV*D=Y3>!ZFslO=t%@0L%a)Lv};&9!EtTEHnp<
zwISez;4~u|H83DxJzKjoYJ+$VcxUV}iQuLY4qKhCj?E)jSA}S)<mBKtYXiwy;q7H0
zFMGNO=C{ZRgOjbq9s}`(oK<BX0E0Ve^at5GoFq3!@6Ul#7lYIiqK(&=H(>RMu9cVh
zPXO1re{J+DC@4so52c5t6hO{_F|rPK+^)n=yT1U)D8n}EZU_N=uNi=}vgaHi$cIi%
zdjT@s8??xHbc!B+YYt4Aza=D;;?Q~-vevdqZF-Vx!3ZGsU}7EOhSPINWUJgvG_ztX
z-JtEU{RIp{(%L2POt<PsIakuNvEtc3-gcuuYvxl9HX-K(sULZRyyD`>0B@j<R~IH7
zb(|L6uaUW@?1J74=Y#s%+}w`cg9HJK%+FSgko`lLsF4Fb!C)#bg`i}RfFV~AVTi($
zs<A}5?|*N5MY6oQnk;B_iL9#76H1lWFhN((R06@?003@1E$a2>{{tHbSNFWJMo=(0
zenTV}Cc-%>2$8)^KQ!S4ftwR__$JN9Oa^eKxrZlHAWfIvg2BFRIIC4i0<Y0uWUDFj
zZ|_b*BK|6%Z*dEv$o$8op~=aV^sN>iZ-?+x&^AL!!%V*M@Q>ZP6({uukP{qu5FvvT
zXZ~ZJ>o>!uA^P6kU3pM$Tko>FB>t=H$wztsqwql0dpW0*nKBbnd;mwX#}EoYebEw3
zP2LOCeDI}iuy=xGov4wwb_S~$VEKD%u|^KTssviXIRGe`yj~+OGSE_%hWZMUVbnDE
zy&H^rMGqyxG(S~=^d_?31jOivE$=1l)&BvB)Pnmrc}vQ6Ko#o*nP?a+q7iVOX`z1b
zx|YNZK<EBf0Okh50$)Z(+>1^ii%dy-LCyAkThvnkIs{n$n86Q@l0B^jkM#xsQN^BJ
z2$0d861TU?OZbxkb>bPQiqb2PQfwR@!i}&WzxKfZwCbPkO%8ar#eT6L*&n0q*`Eco
zq(Q#>9H11dJf}02ldx7hZS>D-`OLG$lVH=Ssx+JiRlUilo5~E*(D|~yjE&AgDA-Zq
zD9Qt538fuYbOXND8<;fK(3=;C&&8VrEFdAY4`)5V&WJ_Vo0xe%KjC}b(%zmW72KoM
z?u|dNjn6LtSysPx)oD1~^%?N-PcZ6LJ1?$<Hr<@!JA3Wuz90U~FOz1XT;J4ZkUuBX
z8nPmTAYLc#0{6QY=n&G*z@TOYaY^`HJxhf-6%uw9E`VZC3%mhq0e?SsW3DelF>nDA
zS|tgU*CLStYXC<==ajw|B)Kyhfp9Epo>543y}A2rml#xcuQ4JR5-_id_siEb{vL7x
zlt<5{UIcpcwh0P1(7s~Lz?9pLO!B=ta3hx_9S5-j1k?#B6Aw2S65uoN88BXUzwWvv
zR75C#>;pHf3If~Xy<Efe6bFN5;>k)~KY+wG_M`dk$RX&Pg0;;|1GF&^fuwj+7lM0Y
zN`(z6tn|p&MHWc{U*Gc4BSeG%soW3^D0oNvYgu$|r3|05RKKKU6cmI8`133IOTB^J
zhI{p!b+smcGggC<A|^5kGozz-Cc29JXCv<&_@r<sx$8_w_P$^0{cm-~)hBO=7OzGZ
zV;b&mG@L{PSD`OrX9o*6oDhaSa~}24S0V_BhA@@E853P5)giw3RgqcQ2kSB+`{|Rl
z-92o|*Ml;F_c6l_4FqHbz;Ms0+ZF2nA_0jX(yu^_2I@;UaMK7zM_SNsv=jl#A`$I_
ztY=%-EB>xoM`?`*58n4Y_w;OgE-eVGM!3gqWF-uI0`~2Rib)R+G6V3{XDK(Yz8e7Y
z9#pGOC7!_^AIy^xq*tE}Yp@jHldYg>qDFCbN_n+M=bF?Xc--$WRX6~W11ASSS!0kL
z9aQyrafeO!b`u?aw^kAcX~5u#iI=?Vu{eCT;~CBv)9F4iP=ZYuSU-(A?*U?#tB+#0
zfw%gK<gnqa#KzG3Ll;=;{T_z)@I63wXWo9e=quEm`|w>QLM+c_XJ+~z?hZ7ZQ=l4C
zT-pH?oBKenCYUXPkdxbC|6dA}ebA<XyH{b8xzW3uLX&iQKOGeX;$PJez}^B!0t2!k
zKRS^miUA8q28uwi50bZ`*LL`<rV0$|OH1@|Jdht49bMY<X1+fmzKH4OigU?H-}`-#
zd|Q37D}Qco&a|_5*9U>%N|ze91f9IwvRR8fWl#y*0l^qIXk+kgA|cR7&Qq@Kn&(PD
z8&fKhBtf$gDN`ZlVlOX37U01D+WQnFn_&S|oH|8vdyrNMGk$L~KY`4l4ZOAoAc2DZ
z;Fi~)W^&biP@0H~UPBHRBr7}agJAg2a7l0PMjsp2qkC*f?(}{7ZnO%$$*)S=H(!R<
z6@R@*936pnB*fIT<f%VZAYAv7^rFPislzjM@9W^MV*>mYa_@zdt18BFGNdA>185Xi
za^j_77Y?Aq7;RRe^n1FuT0!0mNwkp9cXB-K3vq>R5V!+gM2P%;u`aYd5M@bF%;F`c
z2eGc+Zlr@kK+sB&(GPFH9J;QMfZ(I<I&Sr5U32MIgA5Y14;7wV_Y4<-#%C;-zIli)
z6q!i#WKa4#Al1A<k@Wqa!@a0*1oeFg+pL%c`p99X3p8|cvI_+lpH20WjDtiavb9IY
z22mn^Tl`xZ@R_bn7lc=ai>Du+BtbMc{+0&CP1WCfdx#{=TJiNS0rG~A#~nMlpfRI_
zcoHQ1g@uKY1wK2)V_X64Lvce}i04oDe}3P)J-K@TaogzEk6Gy6OwOM`PT|@!iE{f1
z4-rHB(U)w{fs6z<`_pp-fQX$KZdV|@aT(TD78g4}AFVYWKHD_q3BTg&07K~90!mJj
z?G~Ia=v#jH@BzMQtHT{QqzEnOVcOMb=r-m+TMWL~ZSXX0;FpaWU#6s_fK$`ALCRj}
zLw%k234)IBb-Xub;~r!-eLhf;Mx=FKK{Wy3NU)@bb6pA0z6T(-`5fW}fg2>U^;7Qg
ziTCcCbK<dc&)RMsU@8BK^18AMyLjvO=>4E6N#_`L^o0o4x$4)E<f9IrKj^j$BA*Q%
zA7EobQqc&GXBUynhyEUl1kTnn@V@E+vI%ntI|v;0>qvhK`6tLastIb7yA76Sf!v1>
zBoMEG5CEWw1loeR03!v}+8VG(Navs4-1UZYQwImMejQ=$y}D%aEE)|Rs0F0ng!k(N
zJ{}G}BvjSFaKhTnTudJJif9_9YIA_(R4C~HZaF#s@1HyWk0!X+Px9lu{&~{^qNRzP
zd<6Fhy-V6vjK2wS_lqxII069>X#wlq6@bKSQQvu7mk=~8@V7GE`+YI}-fo>0G1UeF
ze=oJ{h4&y(Ixq>4Y=lRHsBcPdLD_vsde-3h5jK#`BS3LPz*Br@7+FGH>U25th8xNL
zA@3$^iU)l3MKU$9<XAKngs?oBV5)<mX9q*s=11Kb=+LDArvw9SHJC5~lR}K_X!n|>
zh2T?@qUUd*BLFWT3Lg49=m)^sCL@~iii$VReJJEh#Bu8WNEvNBa%2PqBzaPAi=O^+
zY;!R0N%8u4Ylst5`M6ZzO8ssx<CC*Q!NbRY*WlSk^ZMjbO%F}soqwMHdm|!${eS-T
zxvLOhc^R6)1B#3W);@dt|N0pVy(-6#=wV2}bmje<(rVJuP{Ksv&oRi}W}~@%zv17q
zh26#u0;o`u*<7gKkN#W=NcIH4iy(DcH%aR`;<v|lD8e*23LTN{ot;7+jlp8_0ik*}
z_2nCSV{Z_xGl0v>E=hr$yi|bK&eAi`;USaS2Wrz5Yb$H(OHwc|FoJLb*6IxqiS<3F
zxvr6e_=!hf5rv~hKO(Rz@gCZ{-uno49S%}4L=Z29!BNm#T7|{E;KM)w5(*BabOm|3
zU6B<?3x7ffyB7Qi)I=UBfa7;-y=(z>$W_m?bP9Wb1b=`tMcLToMgI^6I@#^J$-5{1
zO*RQ$nZf`&18sG$-DvD(Wnr(@K>X5Zb`F=d^_UKEbxjRyoVT3anTb;EeslK^X!P3K
z+B(zC4`@HA18N%_68aTyC6KKH14UrvNN*S20lgSQwle4_Al?b&T_2IxVz~c&zI*T)
zL7IcR$JikJO;CYDG@6hwgA~krkq7`7(Zxd!B+Qzik5j*nw7igoju4y5dfE{y_Bl<2
ztY#W=$;-_p`NbDPc5~|3p8UfTAQAVMVz#zq$$9dp!^0b+{+{7Mhj~d_%p@{KfwgtH
z6&0?KOTfgQZ32n@(3>E+>V&MSgFA<K1*=WvK}HrCqA;C2ix4WIl&&~`7z4b@4`=CL
zgU<rgDm)iR8%KaC2%4%jI-J}F)ur#>KU-*rErq5nL6p$O2f!|Pc_|Bvc@O}(ZPk|!
z6CiEGvrI<5-!6D$05k`n6eAkG>+A2q9m%c)(&7JOh{T}R%imh`#<(n;xmBq;NS=bw
z&-HF`Gt4{?j*}A0J!z=`P;c@?>Rk#MB=K`>fY1!}u@KuV=*B(<#6EHI@TX53Nc95p
zThAha;Nc3;YS>o@9M3<|>ME!!SKF$PN}I=Ud~D1U^d3mA!d+1#Icd$sL&&lZdAz?9
zG5&@epu%+{N=0n3;{Aag@HYUe3GJbaUoVGT)oDIzsS-T=8Nw%B+5-)Jc?Bv)-8gTJ
zr;CaYMi0_RjSu&KL9iLAbTH{dmY$OKB4l4czxxI~g|Nl93ETn!2u|YlNJW8Y-h#1t
z1BHOz8rqw^ARh*MtdXuu7hC)MrgSOvmFj$-!HSrMzYaa`{oBOgeTr6KWVG2ixFw*Q
z7d^UL@#+gyp1YP-Ha0g>-%6f<cyxyBg3DX_N(fNoy{)0NaWFq^)5ibYhbVWk?9O(-
zI#`(+ysk-y9ntp>!S>E3_3WJ>bUX4K&%bVZJvjHa@w$0tomi;ZeKH?(4zMC+r9Iyf
z#ML@HoSQM>j=Pa+6rx5?LvuY9F2WkKKM8$^9~a>*2UGKO&u=1qcO;uJX$^sKaz;Ot
zZ<#8|)jeO&>r~pm;r*{FsuZ9<1E$8w%U`BBj0&!GsT3%L_EW6ARhu0g6|cXtBe-Xp
zP@R6|?oCvv7bLgez4HxfghYSrj6Ld^-z1{uu7x#?cR?}{K85+-C0Pf%_cthxzQ*$#
zs<2#QaS>hxA_a}8)&lL2mssvL+w<Lb$dEI;0PQE4RiUrd(b(MAoEz=xA(r*4Ix}-_
zb;$AVW4xZTbpPkiC2iV3!KO9rG6@%t4L}$^MXcUaC+S5R$fL&pE2nfVqV{@o{CXZY
zKb!*&3PfP;2le|<H)9|d1K0HcM640*HYgMfVJdL5(D}lK_niAA^xDF#vXj>$qE?^O
zRESQDIX_!3EmhancI{V_3+?x?)muhIvGf|6ZG!3>(i;8Rg29=dClf#XIgRvPC6nDg
zoCcLhWb5L=g}3zIpl1Rj$<;}kQ<6ABaXOJ>-zOIW^cZMkWLoUa9b!Me$|YTvN)IaT
zILoMgvp{dG7zEVeu6tF;rw*W}^6|B(6L?)G){xtU84fBopYc(wDllx%P7Cv}iK!vO
zS@tqA{sz*FKxxQ6xCqEE=k^Xa{(?-r7&x$jWjj#I?jaRM|Kxuqj3&=muR*^EW?urW
z5F>#~O;4Aop(+i;kb}cr*lB;T%SsPPz6N9UY^*+_@tw{Lqc6zmz^gWO{_^@ameQTT
zj-<nW_St{pOW4eFi;OS%GxKraZ#8=G8-5X;5=jPcN}=8Lm)n<1Qjo4f9pCw`YAz8;
zaKKMNO^Q&H!PCPunu^B|V_@LbcGZ=bXAag+!VBL79)2=N!$K~U#A_r4Gz&;V3d)eY
zbj<ejA6O#|aBr|g1F&-l53l*ng7`Ai(rzS-OO#&Rhv@SMcyMmu7Kx}h<3*j!U0i_s
zoR@&05^6z8+&^w}kKE(Phfgl2-t+($1g!Mb#t;1N(o*u0(y@MK-EAt5rY^LmFytux
zoZER}dXklZCTetS3=ymaen$~dqCl4v>=co@N4TFi5B5Q+4#L%86aC?12!^L5i=e+@
zvuc%<yaOaVW9Z2|a!Os_dj^hX9g<0C%(<l?t$Jr?XQg;vBWMl4$E-s?BC6>)BSf^E
zAiP34-~i?i8KDO(NbLd2w$c3lA=4B3d4d|yr2GgFr$9?QmKj<NyOy9e40)CM;3yL9
zwadffGahy_7Uf#L#$<Ehql03m+B@n$U46qXEE01mBRr`uk(2xM(mkFF|G@$f5SW}l
z?y1&R=-7bz0jPq;_ROc<gaz}1dNwi=Pq+fx*;!aF)$@;hS|#BxFa!ZzG2ucQW;!$l
zWpK;QAiB28tNJGho=3j?3+d8K)ivtXKt2vm4^|&2D7_`C=T~B+_k1z%OFk}NonP;g
zg~srLU#MYA#0nulxw>Czh!n>Kb=w>rPQY^@-yO2yG%r=i*Nl&YRV^#TCZy5-rYDZ$
z>)$K-bEQES6ctk~x56A-V}y#>%hBh#X?O^olk{z!JAbvWhTrK4_G*zjCz)E&?mOl&
zEn+?gZS>xH0RjS=%g3Qy_CXcK8#eQl@5Exli1Tp0iTQ(S&AFtv#U)#@rpEXBB8oWa
za4*!%^3>UPH0herZs{_%I;UiL@nYKcBgLJ1F!@}qUbFl{Pe2etkS~R#n7qGX6ROZU
zr(Y!VrC-B2I<q%zP|{j@sW`PqT(`R(9hmEosy&Rk?wAqj!(2@D<ocFS+_HyqQ#Uq>
zsK0z|1xf0@*TWF_)NzVQV+O55C=FjQ7%MiDacI+^%4u$sDKZ)}cKQTF7vb5I8nL9(
zKJrA}3p(dn7|s~0%G;%X?kST|xOgTtE6YM~9bU35$+2JVH4Pbo=4IFk^}uv3Y(Qxd
z+ht~hHI!-%t6dj1kj{#-_&Q^1`nmzpvi#UgtbkZYn|*is)!l-Y`Atj<;8@O&ojFMm
za^c^Hrw+iF3^c=~LSxla{uvZqQoQF`aGa;r>eP+q8muLwdn0e;ldhbLQY*fpl&qdJ
z*!%a4%b5WMn+%OhBm6S?0RYQatCK<A#&K|e=q#;P3N`~p<v(<av1MUw&4#vktm!4C
z!KhY#eTH1;{<%0;Ei^WoRavj4FeGXGpTYCQL~_jrF<XVa%1lrGjHnbDG0?RY4~C5@
z|3%Qye%$8eB?QzBEP?+VwcJgqUhJ^+T7i3~#E6~#_NupGWQ<R|AL*c8hF^h`&y}lM
zA&lQjh3ffT#Lg9L#e8h*{`)nKGo8uYhD(txAe7gLMJ8q5h|+`LdGU#(fk{IRv~2Sq
zysx(?^5oq(TR^2X6nwqZQF{s{S!a|x!d2BM=3{^}Gp3TlIoui&dBGU#lkrb#uWf>#
zX{MegTLf*fAfG7zrLM--P^%|p`GtkCmr7Vp5VZbv96Hv^;Q+0-KaqW#mTvb%N?ZGs
zgKQg@p{T_^X6Cf4a7~6D>sE}iRhl1VGuRrs729?B5wA1tL=aVN-Z#NYqh#9q?K0DZ
zL4JWYpX*t2d%te&j6#d2w;oEl{~UrzO|URX9(-ph$Xm2%ILaP!+3Ag#zeC%7lUOu6
z`92LZed_g~S{dQ!K8{MLH1~F4uFlnx?4cJ_v8Qw|jkM=!snwAS{yHIWzPwMKYqoz7
zbQ@wJneDAN`EM5ycc6PTTAIT{pPpW<#F-Jncixz)6~|+uEUVbmHNs1&%SY<*0_&m@
zA3IK)e)Y2UB5&Gs2w@qxvDr30whvl_?9E}<Ss3!aMsvEjoQ4Pi6TmYB&&hm`-HkzG
z7dXqY-nu+etInYI%or~HkDTmUd{MFae#$wO6FhT_!YmUD(PIb33Ni{C%^KZmbXOM7
z3DCHc<>4ZOvPbfYKG_y9krWUX@Jsufa%m&551>feH@-YC70_Gn2~#(XW4oVZ2KLBs
zz1QB~*?UsYK2_S;vl(}{+4Bved86+8P>zTRXAc;8=E_TH<bA@nx1<=o^$WeAnRBzq
z+9G0!NS$dRJ~#iy1+q5Ild%epzJ)J2&oc6q_cQrGBkHru1PoLD*Q;HCw*$@gb+(Qa
z-mA2H-5h2b{j|SFK3QC<4~Z%A36S5CV^bY<@aCg-XHE+)CNIV|%I4D<<#XJzB39(E
zbhIw&&LM8jY45<QDWM73Bf7IIKb%*Py(nEc`w%KJaI<04Av@p{pWpL2ewIZ<J`W*U
zkL^w4)IwEst5;C8G`d1ztfAK#jm?b$GNy)u0y1vI2Ras0>#+sITrbC%+Syfq;25f*
zWUCq}Xr95Dp)h$jE-?iJvawL=7WTa@W;zYCGH3}wW2o1g7^Z^qMQk_0SvD9|Kyqj>
za^k~lDu3N*M%Ge(bG4A<cxE!x2Q-e<6crtcypsGP?&i^=#~I9wis*A>xGuS{OXJ_P
z($j~FD4Lmm6bq2L`$kgZjLq3ZjAI5{i&hq|0%$(%04_9j|Lsw}I|byB?7X~S#wXI4
zB71!HhxYAgBjbBM1-w$}6gD`eMqGf7E|n5vNXCtX0AnpZ8p$rs($d1x%apgVw=Q!y
zOFXIeVQ2Xu9ebMWR!xf@YwqA%hQ)JKK4;IKWrZ+4stQ<AlJm#O1<5<e_n5CvDO@_=
z(U!uXD;R{5|3KCmZ}u?8h@riev#cmZu!}-(k?_Xpn44xOcFAp(j0v6rQORb0`QIC%
z9kN!8#+kzkO^oKfS2ZY2l%@GPKghQguP!eKr&>nSL%)aa%CUQRrAFfqK%1}slrpz5
z)9PK;)eRW`(9W95k|ph9OvR_jAb-BEPpFzwwH1whm(QS9oXGV`OUQFpjFmXQT{dU3
zp+`=oE0@L-JFM*=$Vo;{Mn(>s1zQ$|gRl<KMJIoKgXFo1mu?~p>fTp>9XmWDNYvC<
zLbJcc*UI@^$ZKF{>5#F1sG-+3eITXKS|7sfU}~n9AZCEVR~l<1J;?2STWkt?W8#<N
z3MSR?Oak*<c;l5B6FYhNZ>B{Dq)k2noSjlDJ8}|y@0M3!@inc$Ix7eXxV>wlLrS9O
zO@0aRkONP}-6ArkQqW-mt;OKAe{v@}wezyM$$3$oOaTcmDN5_m%FP#4KCMxkaCoNX
zva=HAFNHtV*3;Hwxnvp`aLP}X&8m!7n!T#<x&qrh=?on|)D8Wn+#_8rKn$vR0s!;z
zx#LWOj$4gF*M`}OF<~pvLIaa_uL);dX0$|@t6wV>OwHFurr3nDeEp&Q7H9OsPN{P#
z(cNZ^B592{7vp>N<p}EkB@&-NRO*tRjvUTRA@fsKda?BBX?7t9u(OV&b_*R9r4-1u
z=-&S4ii3KLX!N3BWHzZo83{{<5?(|}gV*rELS}RU%`KXm7X$vM1^6Pb<CK`w6lI6R
zjDofKIT^Le>=#fs0u)>EGWIb+ee6HXI0H(j*eO}^J}G{<d{r;jeL7?_NIKQFEJGyh
zR4nc!fr#UARw07H3;|6tmbox+Q?~fKf~=nwicvekBa45sN6{#_mFsd_5oxm?uRu(Q
z5L3WS%A^L3J6178R+KVYOkV3{DiOWkAFd26{qvE7GE|5OugCH7hEf4}re;5V#**`t
zf(_U0J_Ry9QN&?}VUFD<36c5Q(h}s8YPM%WxZA|2J@RciPnF#FXZh)CmRD9(Oer(1
zH<x|`k`E4b-a@k=9j*LWM)o!pzQL;DJe`cwnu|9JQm;^+(lU2m$<ZN|(YjPj5v^9t
z+&dF{A?kWLQ$l{~Fc}rn^P{W!_pwrmi;F|<)MCr2BU^lpQ=^30G33c~M7Dyq!XVe>
zWV9@H+Z4msQFJa}A!nFukTSDzG-@y=({lW<{X$5XuD@2C?u>Dkf}EW<K1!%uV_ich
zJ18<zlQK_?!-^|M_N=BDcPmzx&FFOTz5H9=`|y0xU*AuG)e_v`3`zx*2c$CS!Bdo)
z&YCTioLpp)k(k~TYVF%Bys11}%j5s_=JYQqh;}mx40Fhej*9i^q*`A+mx`I0y}_EM
z?8}XkjAg^|7x9;;wgxiBQZ8%ccVx@UUkMlwa>-|42#^<PywsxS*c=oX%9pnH7;?tp
z<L@1k&Pyx|?LTi%t@w8TYeYu)m$H24bK*xXk+)zuwL{2tHABYPDa|y-S7JPUqK#yj
zID<pN^lO87lpktJ3~t-&r1`chm@{6&n>*Hr7{^A&EGyj73lcLZbVzl`LA%P#Fk0|B
z=k9;f%rs7JZ{_PuRYPJ3`CkOjjiinmCA`M*?hucc#m>sRb4HtSF_X(kv12>*Zk*=h
zD|twz)X1-!njEtw@?IycDI`px*qk9xV+KDQ<saBtT<GLm8pNSxcJJBst(VueM@xgQ
z7^vm>z8*L|t#Geu*s4s%+}g2|^2W(L<5;PP>*_*!3fSht<*=Q5$n~+u5R-;sH3Xh<
ziHKE8vstS>0N*eFM6;PG0c-H>r4h;pV^zwlFx=h|=BU}MK%}3M=3$WI>SKL1CNxNg
z1LYzXQm{gpOIXZt>U?T|nUIp*JJX<6RG!XxMd{{#^7I?AJ|YE-%sPZxrUjp*NQ*7=
zVgb@|e0`~l2#%&9fQ>3R$%9Z!J4b|Pn!l=9OOZ0efcvuUdBLa%AJk*Z^w{!Aq8l8#
zx{CeO9!iC*cy&JVxPmVR-RT<6&Md3}XBdU~rARp>eTIvejLp@8G(%0ST|`KKNt>c5
zLe<mmJxF+})J3PW7|e?u#YUqC`};%wz5c(?KNY}v&e61-`X<h#D4Pj(Eh_`-Eh5py
z7>;XXC^KV*#Mk!~YdGX%LSlVT5sIxbnF=lF0I8Ww=kXb>J62A`w8iC2fg&Sk4GDLc
zZui9&?Bo~p8d++NSTcT4ihX%K7yb4+nQlUFam1h+Mt|%&^O=W#5zyuQYkxFs%q=l5
z{@(WU{*W$s*{b;=v%&hJzs8GNg=BrBOHw*i(moh`nTk$^NmFB_PzEC-Lm(tU=GNPt
z%^3cm0480z(P2VHtdD_F#zPi%T7%`6O6jL9oL`4uRn;@z$%s*53Ot!tYNXoID#pdd
zm3HtFZ2#xK*N(5Rm(Xr*8J?hYlb%s{l0G1IEyOGXGm+S#jSq;v{;fU8I6r2JrGl}Y
zKk(_w;3BWND5+?Rj`pGsQIzo7-!p?^k(UO^WECZ)rHXFkUoX_*@-s_CuQW4ZjFKj>
z942h?5h$WH!n`~U8r+k><-RK%h{x&u_v#_g$pMJIt!|7lR{$frctDRvwOLP3QIMua
zGbg}r<>G5>ua9yv?VQOg-RJ@wXNN2YzIl8>GhW7WpzwNuUxAC1_UH?F>kmqO{O3^$
zI;x3cS>F`NaqP5Nqg+DOk_vudMPzyPH)kVq`g$L(oab=9$qtS4yG)R3OZ=M@bm)zN
z#EnstKc?8YJyh3?pQTeFBGxpYSl%6YN_2V&!F2{k?B&L(Z-@%mTU8#+T#i**LD}et
zHTKs?mWBOhd~aDwMW>gHc1WY$^7pp9Mb7p?FVVx`d$h|-Q895#`Ace{Bq#F%M2h&$
z6V%>PFvaL6<CN&yzFXd9|8KX^tXBiAK5&AVx6(|+oecpF-rzFz_{sRxx^NVEAwdeQ
zi{TiV%v+kdT1Jl+c26xnr{p{T!6)Q;hyIX2rq<a+VsaVIC#M!sIZ|a|SlzYan9G!!
zi}Hk2rk+h2vTf+cWnuBUiX6j)3|Gb#y4We|Ss5<{p^Q%7CU}11%5lMauMgHL_4XDE
z^jOJIrj@4a-V$wLF-;Dac}PLD*f|`z(ord_a8|awlKCSGb&YRvoG=L)icv<Wh`%7@
z9u(TlZ78dI&C-nJIN>eY2^>|q%2_4Gv>V#-4ND(qs~g&FP4&kWWMzCbB%tWRvWgb*
zKiW6fboP3aE|9^TtdJqQXLW+0VdLLY9uW+Oi0}eEqj1URsue#w%UqD!=`4K>7J1YQ
zG6N&cI$Bb-vapUpavynl8yS4<b`uTxWvW=s>+LbJgt5(uwo$YiA$>l~4$o%dj92CJ
z{4^U0xy~?F+;wI;&$iNiJqAi{+XUvQo2?4xa<wQQ5OEkl<=H<l5W4gkoa4U<{=@hX
zKIpN0q&_L9XH#Vw&02ZWku1SG>vdKGs!q2}vux#7LZai!O-VM&!DVAp8OxaKRQrEU
zl`=_jB;b4f1D;Y=RA+z%mG%{pO8cMI9a+#uvy+6Z1wWPa35=H~3@g|ua|tj(>p7bG
zy(1=ibxPR^A3`hK?eMzS9SseVOUGx0SRHsqz>O)FJ;mp)H~czAC_fPIK{9kdhItwH
zL&N~5phzn~<`kM6{Zc=`rH<Uxd7R!8B`7H^-Nnd~bNUy1cUvLF_=477dBj8v*|M*!
zAfTC|NTlsWwNS2JIIgE%eUYu2Lgh^HG5>^^6!fX<3mk!YmD7IaLt*gg-<OgJ__ySb
zeyQ!PJ$@<;Dv?b-=O{a6$7WD!d8tw><^`NIJVJUz+|4R6VNb0vYzf(;=LI751;c0v
z+1u4KCoh~*ca4Z_4z;fuAi87rTk3sx4sY-a=swkA9mLI|qBzwaQk?Je`8;~6_({4I
zDmXJU7SO=Lf`b37UnO`*d<=NxRcbMgEQsVhYf^FhM?rv;(G5m3mqCx>XrBy<C+Z_6
zeTmTz4ft}6T?$C(@MOUuL2Y|}FWP(B?3>X<`gy)*Dli3UpV*twfdK&qGAC+g|GcTI
z365E2U%z|kIXKEA;AH5vPi36tup+{fegALe^iO?0+0v(GQ)7H8vv1Z(1^m4z!*=O{
z=0G1hf}PZwiCZsGp^go`Cug10Pgo|Yp#MUe{eBYZydTq(mF8lvr-tU{@AJ3!c~ma-
z5wxOg=~ed+7BF2So;{O2hJ7gl?@M+JIpSQFMlp9JbQ3cze>}uSk9$<~Ia-O<pcU+8
zG-qHwwshf<n{UEF=_Ua|*O|W{W;SrltVKP}?ARXR7GjI`!`3L35q55m<iE(EsU=A?
zjbqY|GEu6}^pF$fl9CtYi7^md&CbLs1;tVa3(4cYH8g6Z%oFt(>G-GG*08jwt?c$s
zv$ky($T=lo(7bi_BG+E_dvF>@%zM?ufr`)H9%r8qT{^xlsG3+g)Lm7nb@LV!6JTTC
zS~D+C=y3ncn~9oS;&qKP({*%WV}CS*)4F@E4*&5^qT-ci3`Gmtios1+%fLcYGX=A*
zwPZi)8Oudk5IWfNWSfbSe}I82&W_T<^^sE-?m!XQSN#Bk8SfrEL4dIYb~eFtZA%V@
zq?v0tip`>PIom~LgEMtLs9p-Q4@9Vuf?ZOag<oSed-}}VB8+VKoNs(54x^{%zGQp1
z_$^1ai=wh+lEJ2oLV0<yRmxCxD#<}1J8MGv^#pu+Yv=U~gs}M31@L0yt+8-D;(xCP
z%bRyC*XNuuiDw1k6k2wwCf$T}t+?50WKKu1UQB+a=jFIuk}z`fNgA5rlmIQUzoMcd
z!%Ml8)xPm-74z@2s;DPMELfL^))JH6ym|KRC!XCc>Rwg^E+JvOGa@aAom0a}*ie(3
zi_7jo9svP2)$!96q#=fW5LH{2kb3Woq$AId#}uZ7YOxdZ!Q6V*pRc>Eh%;U6b&Sr9
zAnLT(%O$L~E*5j!nCj?IP@_Q9PWIYAPkTGZa2{^(nj2JUc<@-=xh7X)>#oDZY`5Le
zso`fUqsh5;bt{jr)z8n*&iWETgA7G^4dh_Yb<NDrUc836y!x7_&v<}JQZje5s7v$m
z?_{%FF3lg&9o%i*zKTr|K@oACgXv|3qYJ_H>!41&RBia+LEOyj_#f1I5B*KbP1V;T
zUdG~Cj`jIVLVo$5+<J2t^2I)1WEFalvF+>WuXN=s!8^?@DCY=j9f^pDgeTq7#JBF3
zjfQ_SO(b;XNSBoV@WZ%QsA~A`sLratK{-48pR{3=Q1`4kyUD^Ek<Zoi0wq;dRdR18
zH#}gQc?4=sl+D`yecxPaitd{^et4z%BGkW6>yN$X1%1sL*tN>za08z3g`+2&hl8D}
zUmsWg95#u<&)`27Fh#|7+_9>DZPrnfTV7sU=0Ns?DaNA45gSBP+Y^*YZn3w$IIX>k
zDIHJx^D|AyUg=sLPg@%k8%6NFxETg{?ut*YO<zHl(pTv!^39H|#|Ack!;x(QnX$5I
z2ZbEYP9S&P{k>&Q{PuPJ&PZoOW))qQh<yi(T$J1<cgw7CB2F()cCM{k@b=QvOapb%
zKiGpLima?r31!@)Em02Xl7DJNILA9MTxPrMudjs4rn?fjUATcfMGOJM%Z!W+YX4_<
zf$n*3+Pjjq*_u~W)UI))aCAixpJs+a8CAUwGk&1^rP}k&kA<ZyVU>&19^Iem&hSiD
zJ(4J}$BhnT{jTcvXYePLGBdbq_~5cjEQ?mRXI|=5-c^Fy*zau6s(<_ylE<s#x4nM$
z%ibN1D!`PJ7iJdSQ89b+&g7ck;`L0i%<cM+xeioRlol747Oh1at0P?%h0>aJR+7u4
zEsioauCY~iEzx^8cLR6FtkdYJN89-D#KpB_dXiUTUXujRg98YTt^+`TWnkL8eGtPr
zq*(QZ#>FBn<Jb7<Dn<U#y&sX^!>qz;I*QZHZWUXqhS_D<3nwj(2vypUR=?O*4&$eP
zsiAkpZLLmp;6jqUsoAYTOSu$^gT#@r+1c4uiAP}X(g+x(a>F<Tv{fR!H$D{)e0sFQ
zM)`r2O=GZgCBeLMaELa?QTwuE()8z#uTjB9EB4C<wi<E8^j1wX=0b#QHCg%GY`Wsa
z?yBMv6C<VC^YudZ7gsN1Tm}H1ZMW-wl7O4>$kt@|u7r}%OVpNbb-|)Lum!w@Q>kg+
zck{KJMR|Vwa>UuUae`~XC2vUvLxK$LHAh31N|tT!j$etLoPnA`Lv-u2gg#}*Rfp-3
z$*wwfTcD*P8-XV`PZMBlj|?q1gR>KssvvFeoU9a&xslJl5khF@-Ii3B1bl^m$eVP=
zc-L!65&>3afx*QOR&!C@u$@#`-Ky_qron)l#ui5llZBa|q>>`T$DRuuvw*v>-^}@o
zfV;kE0s-#T?u5#w{p$T^JKlhwW2LHi;r7L4uK^EE&a+NY;d?aVRW@ln;kKN~tIL!3
z=8fuj=xKTKT{M@A*(o+P`u_RUFuMGpqNuX6aw6*-ELS~;AgQS*8XFt;_xGQ!%mo+j
z7DaYAu(Re^Itp5mR<qBrn+n_#C6RhRs@az1R7kI~w1zcp%i6Rtpj7%m@$qaT-Kc<$
zp57JWGk3oa6FeUxJbuj7Ca_=hp=ONchQUBOZvur<#;jUzSdd0r>3!#>_)NAl>gx`P
ze|plw^iR~g+SEnl1TeI_ejI_D03EA}dB|_#s7}BfZVEjNC_E5(?ac1zyVX?YmwL6u
zo@P%?$wi(+Q#e1Bb4ye{#fzi(4~_2N?9E@GyuP<fFXnvnRDJJ>2Fe$bEAaKWBVngd
zm~0vX1F^e(&EGzesD!lZtl!1lrO}Bdxo|~C?VG-GvxjZlWzn&@5qlD$R8)v|B_4XB
zMRrF|D6Shp)xd6N1c3>}aIY_~NON<qki6pH;Mm;UWVnO-HM}VF%F<nK<n@X_Pi-#~
zo;s+I7(bDh`?OPk(%Ag&cX@a?bVm<|nNq3}ka-C7b<ufr*DIvBaJgV?ikgZ_c3>oP
zvn3Vf`>Cp6=Ol_HL6G|M;n&t~M{9G?bJR05oLp0fc!)kSwAJrv_u3x7g7VLcTb|((
zpE(MnqaN1RyiswCG-!&KEgsVqW*LLYIE<!Cxo({#C?`95ppI%o+o1D)e`p&p0es1s
zW;R+K^JhxNs&yy3?5h_u@4X_ivxp&hZYOngC_^+fU4CwSMG%lP_$ZjLBMg596xv`&
zzter~DnX&n(am&rKjf`Mq|ISiz6vzf$Cr%;@58evATTFDE(_7@^54h@LZN$x^caQ|
ze**cZ@biE2pYRHtI2<lE0cJ~&oWzevfN_--+6Z`pGJyA51;Rr?tP(tkI2{Q<Z(3Eo
zmehew6ql}Z^kle;jBAKQ9z6Kfp^aF~=9fbR&k3TK6JBO!v+%fKfwJ7;jOyVG!kY&e
ze+5Wq1#7b&{bTB;uB`?h9-jBGK=Jp%mp=#ZyjE?1v(wg7_x)h^%b((KudWFM{VopV
z00b`vdwur-4(}uvM)wQU?A=gHM@Zo*sl<e9KLG*(*Igg?0HTif?l|qAUit$yg~hPj
zYd<Hx98452gYW(c;5`pm1czV+{s42t3t&{3amORjS>-?GnP(68?QCuLf#+Y6jsQJ*
z486g&5TG~qaBcn2-jf}oCmi}1j|*phA_Dtj$y74m2P^8gne)6C<GfLQ0K<G{CwGkF
ztaW_%;Yh?AHTqujd5r&mumI1V84U60x*Ti|DgFj*$omUsM>nv+UVG-`{^I8>W<dRK
z%4rwm=gW%$rZC)V`oY1#gOT9c!|iwPvt3{i0-^QL(D#J5Sh7NH?vk9g-8O#L>&xyz
z2KNz^{<*f1x$N7!&wM}pjUFq%Tb*ll1qGr<E#acyA%z2HQ@>#|<N{>285s_8<kOzV
zef>eW0c)<t!hkpRjTr$<!2Hc{Pz45YZ|5JSKMO4I)2H3fzKsY?++K70Is}sX&ubQr
zZaglqlcVA8&M=~Z;Q1X}xNNwlVqg1R7KN}RKMV3)Zd(KVMyxYHt81(Ij~{kF_dAQJ
z@N42re}-P1JPZF|a(_;E$Yo;p;Mw8)vwG73fHx|m5XkT89IB&RRGfobq;3We413eL
z7m<At-+$bY3qzJrMr?iCn>qU6`1A10c@{zV)A`(2#O4qnZ8SC=@rz){$QH!0NAI@>
z^($)rMn0CnFeTyq27+iWoIhB6a|lR%_+&q3M4|LS?RR}xnT{xOnC}FtJ~aj*Wyn3J
zk<FuEtzW?9{ayyF<f`b=r3noE;G=+%<}vAZ#~Y8uoBqJAB8x7);SSw)Yrd?mA@F@b
z*Bl|BZv*LRvd*(2?dkD-#B|zF{C4^|^5#I-^_lJ?_qN-U-@{yMrx^#1Y_1_gP(b{c
zR)oPH`FyDB2oQe_KLXE@GzdyOVo(r6e&Id&fBys?!~cCQ|C@}#T((;@qjW+OKF&5A
zTt4`~taecZ(JL2z?P_?N*B3?hPDgKV?>~nJ?>r}#gT7&&bvkw<5}+z?B*YVxstY-S
zjE#(pAS#SMf&pvg_y%N)MF&E{!m4j1>SB62ade@wkgZIAcY}F6FrOfcF&J{^*Dj}H
z-lm;Y>PBQe09A+4)g6Hib{!oZ;0cIs(}lNzlF<0@@WNibRU&Bd+>uDuG)1jB@V+l9
zdJN7xCML%2wguwi0^y8Q_QUuesN6}J=NU9K2g+9gt5Kp_Xy)2u&vIImDBPcPP_^7^
z$WutytZA^ik+saCBDaS&ql>lg`@rX{FuRps37-MrIQstC`*cKC2bdHh+g;Y(x-8m{
zI;_Odu?gcd(}l@&APM97Icc&KqTQ-J9L?vONVbA;UaLo_!qosrJcMNuJ6>OuOHkM<
z$9zs@sYrjBD+&7L^?5@qZ4-`4<eT-eNtz>`CD$qOSa<!Ova8BDjI;dnMy~ndE<l9@
zGSKVI-ZZ&AiP=HiyoPE?#$=yy*^HyBE=iE+yrWo(_dIx*m<PXNXr`Z3kb-Yel|ybp
z+F&RdWC?(o_gW<@$wpmUA;}M;;HNnfJZY?w7lWHM?#nB|c=Tp+=LA;?%r1Co2)XY#
zP|nkGDb)sgd-RUoL>X*NRRvBqhZefq{)n%c4^`lgQ(}0@E}t|08ukok`U-LyGvEy*
z-`b5K+y=yl3kgG*X>doJ6L)MByf6`mZ&0o+_XrV=1g#is2>l*W(|PT|`iMidcPu-i
zDZA4*$Ir^15SSmb1?bYnPX-;CLh0M=TFH3FM_7uIp!_MUlH{CKU9^4*#iVRi{^Mm|
zN(pqknQ+|PtwQmnaiv&a{fReXE=y42R6{vmQB@44>wN|M<y5K&5aOUk_~!Qq0k5T6
zE{d+PY+I^{C+|3tR2Av9g@*jqY+TmywQRKt=AyzGs)~8o7<?>iy)K(f6`Krxh9xR@
zGPQGdWQIZ8>)e{%7HU?x3+0#-llfL>#qLwm*(72w^bG3j$Q`EB7c~QX_aTFNWN&W|
zTWM>?h~eO1;sG%6_$x@*v!=Lx8zyh_e6-2rq5ji6dFZUW%gpD#j+q~|S~lL+O<HsA
z=($k#cNY%2ZVJOI%6+YM*4@q$C-S9(DQd>ismi!KUOcHnP5G<cTgJTLM2)#QZq>Pw
zI|;6mE*8CZP76t9&&s=%w<L5P=scLQip-R8Y6UG>+=Sg30)h?oPr%ryd<X|31;CeZ
zbO2@yavJ??s=3bQ*{0>Ue3Qo8{65Mor_GJ>uG~5OC4csZP;NN)NII^ic)*K>LW0fd
zaueoVuDS&lkE>!c7cOBO!I+rER$cJuv0r1?Xs^3ibzUOJcKDTKoToa;f%WPkCTD~z
z`WoSEU`zE~NNt?Ot`eUa8$lxAJW^w02-du}7J7lweaF*zA|~mM%IAW%iC5MNRd*~-
zYj<g}GH=FzQ%Eb^SR9OhVwCsF0LwZXDyj2&IC~qFQ{Gpk-4!&_!HHsM>$_#k6gM+s
zil(+5R(|Df>}yDMC&|X$#8?K48gZoU>Qds4Q^fAheaPokeY;)*9CJF6#}8|+z&V-9
zVnodJIdZ(a5(Kis!{!@1MBd<|7V0=Sgw^UPOEYZwON?xqx>F&0MAOgijO&S4Bvka4
z=q6BZ64?}}7!|4|_sgsfe=6OwnoWw?%@lKS5_NmTHyfEus90yyEyiV6=uB%(G&1P4
z$->q?j$!Fp!%LmRqThf7Q$^Y=JdJK@C`vZ0x4oVLQrRLbId;!nVp^f<oq_$%K4zW2
zN@J$-j%I|aqACNY;F9m}1^vt7NjUt|Jl4q)U3qp-8SM>`CGpNPb=8gj1}PL(7bVzC
z3&r#!vDDM%_bH=9U8bwPCw_e7k?iBIDG*;>LxJ06!7EcyD2d9i@#}tdbTJqzx6{-d
z8$rl{cQ5<G0M4-B)isX=D6y1<?S3#R<2D-1qR#teE1D)7P;y6;%zcl_;9(Fz0_n
zxUI&2T3aZiXuyEp2ZduC!`P(Bn%T(Y<>;<V;4DDYGO|EkD?KwLnUcHg;O{>9f*M8Z
z&SCZrWiO2l-W8_BDuy*v>}lNz#kCQ~Zi68^{Tq<-?h8UO){qC>j&KCx|2eeVhvRe}
zj#4z_N?ue)I&7a_UfjKJmXP1>&?en9S4B2!g620XiKi@Ks<IRRURZd4<Gw|L5Bi+f
z&6*GU9!1<YJ^0rN*VAzL81((vPMrQZHYzq^PfDvRgn6Dlk_@j}tmwA&%{+yo8jFb1
zWPP=~Mg)~Z9QLkULQG_e$^-i86~NL1bH(dfnC(zdM0NeB#F}wnWVDI(%c5!}HfE|U
zKc-bVYHdt??lUF{RyMrqL94l|#jIMGUc{?8k{4`LSn<JBC;7Y#t)lvuSiY)QRtYTL
zcxUZb@463D6o$&wD|>H74ejjS?hs#l(Qua`tVwD^sG76CF32=ZD4gTsw?lU*1rm^^
zo?#WF-*)+r^uDgKbS4rzl4~$=Fva~|uw%gc+tD~ro(&By)q15iU$vQu%Pq^jc)PXU
z(377hN;CO_CkIXnhh|4}W(MC@xp2mTmnQ#Rcw18Fe2dPOq2OAE?)}GXvYjKG(h1B7
zSh=dz_%Q0<#qRe<^aahVJ|&s@PR$XHbj&Q@>zvc%Ct}Me;9CW&;l78wFAi7W5{_FC
zVUtvIYt{58be-`}(Q^*7cK4lQ3|7*NwIZ9oG4<>6{VMIUDdQ3pTF7tj3DtOnPRN(9
zx@b+P{vb9<hL0!df&RtmkL)g?UE_D64HEnHC)Rz(=V=m2O?qEVDRVM~CYsAc;nXMd
z`>D8voiug%#;&7uM+CX*glV_jxv6EulT|u#<AYRCE&dFI#27{cFsO2I(G;CA)Vir^
zob5r0_nAd)2{=ujMiCZr&k2n@HPIy8L>Y{Gd=gjnw+`a{qC0_4r|6fvRah+`%u!=(
zbWcL0MC{5N!)T@1TFl%vIfFRGWt`9}Li7OT$i4VznIyR!mHLt|Ivr8gO;7daOYWIP
z;qPfhgpN)X42(=r+~HKwbW0#|?Gb(CnueIS^wHz$75oU4tI2|-RL)ax5_8if(fp5y
zLT!3Hys2EHlJ5LWFJi2zsi3mf9e6bx_~z<w*$nRN_N6o>BP(N<d9R|XnQKWUPLots
zIZV1YHMes|`=hmX^<IyD8lXfMF1H5TYIa144DI<OiY#fgJ~d|&u3}62eLc$cgPG8R
zCX@SpLdTxK+w(9`oehIz$!#Pt(|zj2*%Xf%-A9D9=EB+uzHuGq*T!SoGR7&QIyjwz
zby?gu3I$QiO|@&~PIR&baU;Tc^K&6@-snxds_GuEb?iwIl1rp;*W;+Fs!5glWL%W1
zUYM_>rBc9Cw~(Hn|FpcXG-wX3MN1*hspKS#_BdQmRur8<!OD-PKlmunj%EqE218>b
z&~H1A5Vd#m^70T?q`Im^a!q`j8Qm>@ZT;MEg*m<&j$J~Ra>mZmTb<P?EZ$S5M>lbB
zDX7x(M%OJvmMV%nT@~1%)OJx%lSz#$LmhQE{hflVH(%9ijo_lYvSKb^Gc#Z0<ZYVg
z*shtIp~KwkiulL=xv*&`p?+s~hsz+^lz%gOm_wiJ77ei*0kn)T-IXS!1RMOY1_`K5
zTRC!XJ{F*93%c3ImAHGR(b%q!6lX?)X1E`vR%DDeW@WhcPJrLr<<ALUY&K4z&|<;o
zcR9LSO!#N1*xQTFsZ`~Ox2*ViZeeCHZV%iZ+-y%m<7<@^7zzfk<H~c6QR$5HC=J3~
z58c@1S9e)ZqBX7`Vz^L!-O0BT5CkTs8?o%TuaGyhdOv1SB~)b~xy^z7y)cr`6Wzs}
zfFg7%sOgVZkkp^<tYJ%#i8J+8nRCP|E6?J8q;IfzP>Y`p##-P@SOubHa<(vYm|09U
zbqdjT535}qr7r)v-SQNRJAKOD9@UJ2pq<_3Jt1pmT_GoR_3Dw1$reb-4Rf_1v3Fxe
zZeueBE$03somCr6vz5{{@iYxPgJQ>3-;9$@4%HLzv^TGu_shsR-80>1YBY?;e61Rp
zZoJM>DWyg2MDFFZ;1!*;x9M7!^$$fquz%AdnAl7ybz=?e^?hgYX4oXV2`2h+E{@7?
zn;Fs-YSgj?7d%}u(s>u=w1S|s&Be)y36e!_CBy9uWLov3<w%9{1_Gs7)i3i^20t-&
zdA3Sa&PB(8WUf%nm>%T@!^#U{!6PNV(s5O?X6T#g1%H^5I=Yv-Sz|^S!xc{pSDl_U
zWnnWnQ=hE<KA~YsiNapM`Y4+B7ARnod}eU3llqL&U0P<ED6>acpS+c(?2>A2+B%|K
zv}g$I5kz(>mcKKAE<raD64&_!mC5CFu~}2fTUJIHwHM7hM)EJ#i?%c9GH^su>gIT^
zy>)haL*?%E4<kN3f*Fs?9qgE4Nb=*XptBuT_+YBFV`P<Ijx!ZitctL*dFal8vDez7
z8ZTj+;kDkJYcMe9kD|tpHOdxrOiGauh4#zqU;Z*c-GO!IEQ3xSvT8-2mJ-5PEz;<m
z2l8e8dL5UzY1OaN`}B7b%QA8$h-+%aqSGVnhG!k@*0fkFI1_~Z!WFCh`pmeU^3>yP
zG%9P7*mmtjvll*&=Ng(hR%M`lwfNeqSnRZ7Q!jwo$@Jix{?S%vulne+_M==~y(42G
zGykE{ux@g+@`nj!ypP}Ok|5jOppHU`(&fw~`_Z*0;GIQy5HI*k%<Fe4Q%|NuhpFTm
zn%;|@62By|GQNQ_<Bsv7@pmrA?eE`PVTr-xtcG)y=FGR<migRv|FODH>s7bI=r<df
zHRbiT@IJpQkqkN}DA{D)S4NwE-5393<OQX@%e<~uR`%ely6WpFvvPj@k<M|Ga(*jx
z?qkj5DxX(XG1joi3#OWMkeCjog4^La39syNJrs>z7<UVEb4kNp^B)qGRf9Gk%h=U#
zX06%#jn@=SN#sQP>}D=#r56q7$ny{VQ!%xqJhzlqq4v3hN-ytr#*|&8Fh`Ur*4;Yj
z6DvxK`Aa^U+$Ytw_jmSev5aubolx`4s#YIGGzm{g1ogcQPTD7ggixZwfJhrgHILlg
z-EE=)BmX=B=~BOb2Lkcw6qHW(AB}gaWNFK)7ew2AgVH76^=g>m9y*pdCXUgR+uQJ9
z$H!;$Zft*0y0T^THZmy@?WB%p(ta>!F+clbDi_;gJ2#p1Zpf&g?X->J#rj(rwTT^_
zwrPVDeK~Ihsn666;7fi8{syIHEummP?pOz??m_<W;IYW~n*aYi>y##fMEvSq5(S*;
zykFcByfC@pDP8OpsTE?LSec7y+%;|N9VtnKlj<AW9Yg*dKO`UVdB(bCGU`Uw1<v`Y
z5>;Vvwo5*Dg+JHiaorlyOBUpsrRtiIv}->QR3Oy-aI5e~Db`y=K1G*=KZ95A%C$Rg
z5nI4jHAiyf$MqdJ=PJhtQ{TxUSs~%F>XPax(77HeQjbkYsM(cNPRKMji%t0b592Gz
z^~9O77fivr_-LOC9^1W1eX_}YgI$h2osuca9eC5ZwIw1~VS$7@nWUUAN#%;IM#oRP
z3^=W0Io)(Dn|NPI!5}5A*OFEb_&!sAF+k4Mt!*&W^0Xsr#?HuPohYhSG(yqL!mPYn
zdjj<%Ga|Yq!PJG8W3&7|);QKw6K&gn$~_{<Gzk58Thf5RCFro}r#-gQYuPof#=VHK
zv!qMPNUKuwnudmuZQjQslh?x7vY7dYX6u{e19+~FTwx?v#hS_22?!o$k{un}!evsQ
zj&#&l17epSybi8-PIJvVSHIs=pBvTN4bJ)L59voTWt7}=8u<rYJ$KmeQeAibmsNwE
zhK{bYndkU5lQk4Q)>`*$9iu4DB%4~>po)q8Vn*s{b_}J}NvPzAnlisA&GviYV)~o@
zsmN~0_=RZMf*mF$A`hSuDdxMi&%y4G`#WoEu`xbSjB-_XaJs(Huu2mQ$I&S*nMkPn
zt64M+=63glJ=M!)3ra4mY86scowF<DhnL?u_rt2Ry5bkhJ58-S)KecZAME<|7DtJ(
zgd9Y)&JN;nA2o-#FP`x&TvoZdoF}p{H@bqKmAQPzw--q3UQ-P(a&yb8kX+O77E;$g
zg%Z|}G(VhAD`#|L#k{Z}VRFI?>gUnl3%XjBrjtp(7ifFW7|>)oYheYsoM`O|E5!Cn
zAFF3$$MZLeKFv5#E=hFV(%P2b8j!i*Nn0kgV%wj~VOz-NM8@g-U5RA%TcI`VsDp8;
z1W?}h_ZRV|SSRjIN9bySh=Pm3BO71v@EG|c7Y6f2u$894JM*6|{0^+SLoB9Q$J8@t
z&|i8#Qq#05+6R*|>s17nk{8UcO{*yze2prTN`3NX@Y{K#<^NIKna4xD|9gB&>NqOZ
zDJqqYbEH&cNg+8&39X_cOA#trj(r~;Ei~lVl2lXaq_T_(jRr%77P}<bhAd^LhGAsx
z>oawJkMp~a`?!yL?>~3`^6;4X&UZfF&-#A9-p|+Yoay;y4FR?x%{b@VT=HFr>JHDj
z=apA7HGQ?%dx`c0cMz4Cn_IeT7|$Xrg6!57rK1Y|WqV;(a`MeT&#EwHJ)CcIV29xy
zbwlIqw8F0J>z0C6ad**!QFhS=NiW}C_3-t46QP~jzIQZzd*I-mOxcuvoEc)=Tsw4Y
z*R466p}5P^x1v@HD@GnwFxhtsLoV2e<lB7~!4HImvyX}XhPo1kUE3PFf8L-fn&1+l
z<#4^UbipGxkCw&M=3H^fCYzw3Xs`YI@9wzomvxqYeRQ8~(h8Hj?P<p@m|cpy(5kDk
zaHgcB<aL?t`KdjAn0QIyPw^c*Qs#5vZl((cGEjVwYWw=(Qz@M}X3dRdjXk?-j1@ii
zh3u}1(>BQ~>cvJ%@-|1((s;A#u=<&}uvuCaogZ!%XVs;Z?fS6p@Xr+|GUk94;0ZX_
zK>efS0sbeC?tV{8)s;)}MN`RWQfj!a?T@$~mmDw0+G7$^B1(7O(QK&J%U|EaS|uuO
z7P6#MI?n7v^@TMtQU-PhX8R`nsFLM$=!(6&*}E&hH5)J5s@Rh;`o06{N#wuNLL|2-
z>*%o4x-eEUt_jZ^vS&y<vhav&`-`ZuvRycOrj};g_6D}@+UqL)C3`_#qOP+-Ol{!G
zhZk-eER~Xu%ZoExHJx_FG4S1sV^!x_uW^S~D703Bkb^=YOE;r&eVxUljEq5&jevS$
zS@d6jhNO0<s^!doWLj@iu3=WXqCO+0k#+as<D)5xelnSwI3#RwG`)}|6~aWen7AR2
z$v30hE;l$zqPnHo&^!<??-O=g+-8}Z4R2Q1wr5M=7j<Uit;B={^^F1MXD!ZbF}_q<
zD;0g=rqnj&g>OQ(1ah-j63aI2@I(I8M_8l7c-z?6==8X01noJ2RNY4#c~4)9E5}00
z=jYP8#c2i)Id%&>{S@DFb;BPF@Q3dG>M6OVn909VbZaH)#)U^Rn!2#UxYm<-RuQy+
zB$R|c)Ce0U@4nW}&%dvrDjivZ)4-~~?92XWyO`27J){uDolw3hsA^$+KtJK3S*CH&
zG%F(`!@a8<aZoy*MnMPZ!^|V4r!Z;}%k>-5^#)Dc<%+%IbmrLDn3U{zweaO-@*@%{
z{^Z%wUYANrNj+xaAHfMF%e~P4|Fi5%Ffu|!f`JNaBv&IF;eP39nOILyPxQ<o)HoaP
z#U@(>d}@5gN#R8m!xIv=_pe4m6{DQ{uvulvZ2hDvBgwa(fvp#WnLp0FgaisZH+Lf4
zJFn*wo)zlJC;M6^`^2qzPxl1ACVc6Nppi%MH`KpfF&p<FBz}1}=Wxeaz^08zeoHCI
zsjF6?dGT_U^ItoIM^M^C4&a7?(gM3(_K-Ath#?qfG+53RUW-v#+Ndk|5lD@RinlbP
zPlA6LmH(K^KMkIhl3-Yg)>cC2651d#$D?PhBV}}gR^7*g#4NQbS6yTR-iIJi1&v&T
zA1E?m8#Zhh1<pGFET~+x(PXE~q&?;v0@(`cWszL6MBvA*@k|rp*O!+#sumzED-$%t
zAb>2~nZOTIGIdy<It(V^katj*x7FyAI;Vq9!Vlz5Wt33_wxpt+IwVE?eWbUZIu=hI
zD{Gl3lWF2~A=hZVsjpELG$-<Re8z9Wj|JUALX+L+<l_G_rt5nyRPjamjF7^_<}Y{1
zF9TtT|3Er-2sVUB?(v>70K53EBXCV%=1!deQ2|rg11Y6XPx`0!>zrA>sw-g1s2I6?
zft;(aC@)Dr(kl1bXrKVu>Vwr46Qvavxk<urcU8`v-gVl0RE9Ny`t~;TcikV@!>ieD
zVMgCNfGNp73wV(Np9=rx&k}+`35<yM=57c@wea&=_|N4x|NQB3P|st?Ff*=kg~`dm
zVN0vWmGoy|WbtTh9_=tgJ|>LhI$bad4jTdHQjxpvEQ=+~jDy{xctUOQ**WU!>e&bK
zy0izzs^jxL?imU75ggOR1PYSP;@aIhPmZmwcJU?IbO-8)18FLPEI~<rwi96+k=`jH
z!z*BXea}d!mrIi-KQLIlFsS;c4?c)2SOF7bG@fP6&ms)BmVP&3102k(<EVa1b>@!z
zU$hv%J!lfO$R|d}X;Q=<5+3)XPA<yi;#Q}De_8GB?%rT2>U#7t%f)+E{5|6GK3<C?
zdtW+f;crnZBK}IB%3Q}h`?owqVq%ZlvPj}&ZUkiwrj93SGrkgUOPz^lI<a47PzPt=
zx6V*3+cL%Cx-<Lh2(r^V`~Z%$32(5R9qjZOh#5XCgiCcl>Qg8Z=MD6>n6Ph?!9pJ^
zb;xEdIZ})$^zvy>)($N$R2|f*I<7VjU}J|-K&8~={tTcbkh-^OOA=wGnwVyB+aMsE
z=EE^0{VYuit7L#SC3y8B0ZrIT{wozrMS-;yNh${bLwf0pID1gM!BRZfX@uOlL;2OH
z=apIo3;G9JpB=WAAX1yYbfoC6E&NvlFuoCD{@bkTM79QQ2#BlCQIP@dZx6eq^}H`_
z2KANBUrYLje+$1E9={UjpAobeVGly&CbvqmK(450w#7c4Ax?pN!gbkBljz_)XpsDd
zqR|G{lcQ9@C_VEld?^A!Fnq#C1`weS1YW9QtD(Ol=m%Wa`it8X3k8ebg1B>xX^2DU
zNlav$Sy=_u!F8F4T?r44fa>Y~9|%0hR)&9>MeTQ|`-9ts`1Z~7GC{nqp#CnTNrnj`
zE&7c($CzU?BmK7kISS>fydOtN{II}Jr-a==q#j>oCR=5QCW6gpvHg#>M*X7ioIlnX
zTMbD_8tMJ>YJcR|wBhrv!q1Cn52_xqwf#UBjM3!+g)`akv-1+{&({WGzqIMJ;!q={
z73}_D|5Qr4>ondXS8zl2B-h+p*^F)sRfN*lY9#~AdgF|~yW$0+#YM9@jl5Vq_9at-
zrf&ilEP7<1#k!7bbifiI{pfsH2e@oCqbRB=dQrNHlc!NET7MW+<$$OY?bY8nmXvbf
zz=2<{X}EV9*G=Qd;&-|_2N+Tc7F?w0h}@~Ucl-YRAdlL&Ivjrf0DsarUX-Kz;osgf
zJ>>N5Y$vLRX^k3UYb!6b{pa^Y@@PGnM;nlDv(9bD^KW|W((?NKOYlj)Ojx=rJ;-u(
z6rnu2NLyNvGX!kf!HrWVinzd(z)hpK$Oy*HIa)bb`Q@~+E8A6*d#v&b9?_v{D8vT4
zUrlp0`^P;W{-~6WX?0xSiL*gGD~1rVJS{QBlGau-<CeJu?XSkB#B0la(TqIiyD3+t
z>GLSAXMZWE2*$z>U5I5hy4TmX4k9pu>BP@OJ@oGSD~iQli(X23#2zsU^XXiU!?R>i
zJ?A`ymq#r@eXWu+Ai@qlrkU7kh*N?9U~=|8O;McruU3Cq+Vq%pZuOggPQNdGHYr}P
zL0Zu9C4p&?g-)q?(#U$enh>j5eDrPz%*Q?^MUDhg;Zsc}Ypjj&Py8rSv!t|K|7u-5
z1*>Y62-|5qUx%AJ<TDYCglW561N94F$+-U^08$&82vLuS`C<UQgp_INq=^Va`JW@?
zZw<+^|CQQ}C+KUU?lk4flnjmjB_8izOIs;DPsQ+bg3YV81GdMS9-5bT>bc#dE_aT&
zY#+Y%<n!Lh%bJPhr_C-+RW?|ZerZ*e;mw=7Pfu*odpU6XwxW*WjUxqT`CmT-czd%)
z+qk-7jf{#CYX^EoSHR{05o(51*VPK)QYP_Tr&l2IeQg+|;K)T@o4zl>lz)GVAdXIF
zj9a5{4CO(<y_i3CZbIWy$2z2>k{#^qfGq|TW0!g1e#gaDE<ljtL<czA&Yj^0QcQ!w
zkQUu<DTUO5_ub?tSRKBs-?;I(3h}dr@)O3xwD9n7Bn$lz9EpmG+Hbjd34EaS^z?Rm
zk{H`El1*IF(b<U;;oL<_m-c=7l=J(C?RIu{(0gMBnuMrLPhY>QvlHynqxWAwe>YV`
zWY+YMBAZof*Iw&3#}~2<?6S<0pG>C|Wd2E~(_>?QmBq)gX9?fRD6)B3ULJ%A@!a|I
zfdK&!TP&59cGNlI<KyG%TKW35QF6^L^RoTNpI8o5R#t*^G;8|S9XmopmuPx?#9r*D
zDAZ<u{P^)+I;QpsaUTSdIg(lC*HBOpA1^P9wgA`6eIci>PaEml6Vdkag&r&`85ug0
zxlt}pgc2+;BFEj0ry7|<0DsPldL6Gs-yHZp-?4O86F8Ufyo&Yi?CI`?J<0re^KR9i
zeD?Hdbxlo~{UeoA$B(a+moGW8jyE>;iR+hC#e?Xt<=#0oBBULlCX0%So>03I985{7
zLcu~|YwOYTQ6niE)~}b7mxqJ*Nwq8RX6NyE_|8ZTD!5R_#>PHA%-zYKx!hS|Vqq6A
z20`oBlw-Bc!2y9gdlQpbG#`U8fF{3s`SKxC(~eDUHVaU<#gE0KN~t}WrQlt+4QYwe
zq70;jS3bj?_BFIn1%Y$LX3orXX?$o$3teOO@b>N7&&TY!a4<Qko>*r8864D(O6(Ur
zd*3N{)iMAp0gzZ(aEoB9Fb&sTPN8eKZ)enLh1VTd15N1Kvk8b1_uezHEobAMEGtIs
z$+fFjCu;j=fBvKpr=Y4@b98W;f=3Oy)%~5url#v3EJ8o<c(xR6&3j&4tT1;J06FLD
zD874uGDH9%1A%0Q*dAs*C_Gyb1v&^O&|E-ip)bdNwHX{U;0S3n8lc$v`uh8gjj`<Z
zcERj&{o)AtK5$1z1)LBGoS8txgR`3#6raGGVUa}xS5@unss(jUYRM9dLx<ksRayCG
zOiWVECvab4qN95U8sOCQ*PT1&X>VZ}jP_{<J_J4&;Bup<B77+^YgS%Q+}pZ3hE?8^
z<m8f;79Dx{<gBdPV=C7)Jq^VKW{~yN*V|48G^Qd4-&l8NT;~T$@TaF`T7wvbzRm$K
zdl-pO>@T3bAhO_f>yET!dG(pkg()w*iZV0b<o5uT{K^a*sf0j(L&FQ9)22;RQ&-oF
zHQBeXwWC8$cH6dX<ta))tuq)EK>=H~oUZm9ZZ|k=>+GCv99@6P>+4U<8ZN-1hI(p?
z%V5CM+rS?mkL_yr)U*Uf@XTrt8E+i9c>>`>V6KV`1z(ayeTBF|rg>W6Yy9AC&ut#0
z0;UcwTIRrourOb2C-mCeifGxz&COOF)-w|l5<qqHxU8eD?p1bWy)1U@XjmA=Zvgs|
ze+fY?Pozs_jm^wXIA$JNBa7j(bUN!3SzJ03UG#pHlao_Wc$E(ZpBaQj3!*TcK^QM~
z@COQ|-+_!n+}6F8PnN$s_~mV0v7-2<@}^A|8hgEpq#r%b%WHaTyl>yoXbYA0;<XZc
zQ>VhKdAM-W=kD@>cmDqV=g*!Edjat32}g_kfSl0ATwizagX_?ndptEZ`j4d6o?H-h
z(8{+c#~Ut_I8U1@9(yVrJc|&AUFV#amnW;@P`+eC$qZ3ZjpV?F>s~l(-1xl8Z~y^p
zr?og|Agripad+`+h>YcAfz>EaS-q!D>$0-#xzL$2XTCF^Ien|H?jND^=g&WL?i@&r
zY8o0j85xzn<;q#v*$Oj&82-KA^qz?!%jw-T1sp0zRk<dZm{GX&sQ#Er*p9t>|4dB2
zTbn-F$oy#Pe0;T^pI@v<UE)iPicUXIzMS6e8#k6~YK|A27D2~^fC?{qz;Kv(niV_f
zD;{L=#PO?TWr-W&L^`Ux9bRo6&OZ863h9oINf2P@f%eM&36lwJJEJ0e(%bNb;Hr7r
zZq#rY84(*cxSFAl85kJ&`|}AU3|0gn)iQmwo8Q7gVy%vjPS+HyJP&0czFDWZ2`sCH
zbUfNa8i2q_t#G$&DE2IO$!QVC>Jt_g265?0N5}o@SD_u+?A9Ji+aDV-s@IMSd-Z3T
zr(w1md4?sg_$-1M3(q6>9~T=Ny2Hfe4WU3M7)eKLhZoIUjR4-@v2;F;*vIVcySaXI
z#~@y{3=fZpFty@>Ov-d8nFW3Q^Pw9D4&rpjnT<$l!CFb0oR*fBvhqH?fPjF9j~>bA
z1Ou+EkRqeucKhz#<E6^j#CbK#mIq?W`Q?{i%KPvzG2CV6&6&e#`@-QI>ChU)&V1jl
zT@itG1qHvEn_mh2=%Lxchg^a3p-2mdJAHiA&=~ML(52xd!S)%lLHQgkghG$2UBQ;P
zq_}u@&`|_i6_u2T$J>q_JScZJ056GmMr^OCt>prY8;8QT1q<x#?ZLg-eQFZ=@Il_t
z2Qe`*ViSXrhZvWWdLn{ExZ%wzDs6pzOJ!sR{LUd=i3M(Sbd<2&iC1-=U)F(?wDk1y
z7cZD@9T!4-8*^&DHt|bRuxntk4r@Tbbzn9gNZddJ?FHuEt_nIe@&H<FbTN8A=QxIn
zcenWin<A8lz@tnvf%}ff=f}s#WBdS{`5CQ@SGg_b79F!T>=7HVc|iPW$$PBYvzKk+
zAyCHLtSu|s*27?5q|vZs8t&emJphB8MT-_;5$4Nx<XpObeG;K>4Yd_=a`hLnkTj*H
zrurX5n=+G057inT8mj8yg2sw96jj;yhCIhV^6LHw2|;YtA5tO`bzr&{9#b(}a|yeC
z>{3!Ka#R!*6;)K+p2pzF+CXya@S(uyd(+(9TvgTD)5AJaI5nw?369X<psV)^R4Bo%
z5*0*Rp4}$!I>EjI$TQF*u}ybbIP;uX9Xj}pww{N$FA8NR^^}b;Y!E!-yEd6K1@}r`
mK7Y%XmwlHn|9`w?QiQkl*3UmET@s%14YuvpOV>T}$A17*>_ja9
literal 106680
zcmeFZ^;cU@)IOR51!@$EJEgd530Azg1^1TX?yjY{6))}<thhs4tbyWI2*DkK7Ps%A
z{k&^^|A2ef{o%f|Ah42iCNq1sJp0)*CtO8I`q^WW#~={snXHT?1O$303Id^i!$bkz
z@kW!30scI4kkN4lfyhJee;>rI9h!nbR3KSNF?ElOU4)J^4a~Li;*Ni>dL4_VVYa2L
z3}y!zh>C_Om^qi)=i8Su8$_$p#cj8rGJzgaozcENb6!VLjHr5D)9iwS*l<@f12Hjk
zQL`T;N|VuR1atNheTce$xve?8dIS3RKk&x29l^o>eDsU_-2?l-7XdGG5B^{JU~%E>
z!S&j9%ihV(G{~!c9tMM5y&?Ob0f|^OpxlXEuBY2)33(o^!V>(i`}}<t`i%b@*LvR&
z%KU#*iE2h=S&aT~W?uxq{qF}K{=XK<^*`NOm#)}pLAsHOQ|09`^w-ejo%yQVYuSao
z$zKg?qjWXs^f)wb*6$^<hnB6(mpWH6L_8O{cHkgt+t23)uKi_1_QV6wiuJ1^=*Gsz
zaJGm&{4~#R<!5nxCf^1*U*S&0^bWmpRz_A<$9@;j-#ZBYyW{lw;uvTtaC4gS5fXfv
z_M&$12-W`V0HPClBt#k8w|^ybuQ$hp-G6oF!qC9LATv9=b53Yygi)69rUMHf3S}j6
zoz0Vl?`Gd!WZ!L9-ENQOOLuzGbnLXu*fb#QS}R+9-}!N+K1E0MHoI5Ji@2`=e84z5
zMBvENl+Nol_$fYKmJeH@xZQc?XNE*k31Yz$Yu!`VgEFI=?d9cVSOWdZp+~!6r{^*H
zxA7A#>O3eJ!qICxgY+r7Wf~TG(3VSD(bkn;<X_P_SO4q%IrMUOrk0T1aQC$J&9g_l
z-vnpb5ZBbcyern4e4m#rJvgH2l@K2{gtvTan@asOa8#oXGc)$*%r+W+@mLmH{_2?b
zU0QOjc#7_zV4go}A&{v=mjE;QVUylN0?1p0;ji8QI$N5lHCN7lQ<0t~8n+y>@l>-!
z+NtX1-M5uS*g%rrE+R%(V0#FZdH4+1ck0$!8N-)&?|S`lih+$16hm;=%*S`7>I=g(
zm(}i8PBhZ&wP&^8WkQ#-dF{+fUu*)6=fXbx-i-aZ{(W6GVsLO!%gA@q4LNWBfW@=J
zEi&RvWr&t?tBF3S522h@Xyj(Wj!4(<7k`2t-aj_Xj6n7JO|Irr52xSeYxBz#!uV`~
zA}UjbSOZhc?NE3s`ZZss7;98&mcdNoX<!auGOW;{<})9Hdq;BI_fMF&QI(aIS;F40
zvxlWjkSPIxAT^G7AiE{_GRl{F29&+|3P&pr`*WST$B>r=3JQ<IF_{fZtkhw=#U;YT
z`j?H5UpmO!=2_-om$W;kBshRaMyZD)Mq10+*(%wm{5-|YJ+u4|zGFP6d{Y<hey^hl
z)4v9Az12gMGO#vn<lnB%lBSK@R9LjqAmtm^wq4@<4u#RBPmdio%Ua|m5QDLCo1}vF
ztzY#+U#572UHitM=v#8WXCwi|PBl|fIShD7iJ~CU->nEScb-S%_yo=!SaXkDSO=Wo
z@N28%QzX3es<pHBY8%k^FM|F5)LjiSSyomCs8G3PS&=O@br{oZl_z5udGNzwaxzOf
zD)dJM`BT<oc}Po<X?=C#-Nna9epmCQQCW{18ed{Ynii=+{72+HwNLKQ<y0`G7{Y$a
z$IDhbMHZ$@Z3|e*Z{dD@mD)9+aJ!X#yR{*5cVWWC81X}M<$egQJ^zL<zS*+3y}i9P
zUfhbPjNxUhNRXnth-r9AAc>9kAV3uFXeZb?BJ3j(qrhR|)64f9SfMd<$qnHq#9RzG
zmU%NV4Tio<p5l+BJ6!D5Oh5wLAki(+BJcTKgjrv@{y_d71*XbF3;Fa!C(Bi%yAz}K
zGs`r;KcmvI6vAFr8^7)~Zz1qu+r28#bEFS;TyB@SN6KTeBBIEmm&HV|bP&B20(QA!
zVM;g1%;UH`wT;gp@<7aARHDU*Lv`ggI%~rhb?d&t<PXr?w$TOVjoTf|Al?$hgb?gz
zncQ3w(MnI^t7ntmvuhBtpF9x#mYK8^a@W!#MXl)7cQ1;|?80-djF3hhJ{QN?ch`%H
z-~LIb)90TxP+GrE_r1N?;44e#N7#&?Bx}kwxe=~#2v5}}&&JFuI0u3cRC<{W(Oe{V
zC%GBMg_3Njy2QO1Ys84EuG?~<g=XuO$$p0Kv#q?aWA}okaru3+e0qL-NTulC3em#f
z$Aehxt6p_?P1D4+Sc0EmR*l)eZbQKwi5Q_p+)$zQ*Zn@I8AA-RP5Mu-tgHZ1OESIa
zP%gL+wYPl#4UzWK!O_~l%;kEoLC5K^{k0%E<)>HDb{nt7uu?6$$_&XslHb}7N|a8Y
zO_Gyf4AuSQ5sWd<cOc@&gP=bK30N6jne$GQ>!M>k-oJ*&!26KO%F8$McP;E);|EmE
zGom3V&A#tC3PYCUwzxg^s(|r<Hj%mOY5SfDmg{-m32jzQB*C)q39WrL<0$1UA=vTt
zO{NU6u)Wt<{|(W!UbjNC>>=XU_2e%je8`*KH!TMC^f`q?rCOU)73hwup9?sz!fz+X
z2ASv0<If62;!#0*jU5N}BAaheN}-jAycH}J6g+Iq98%pXPfsGHHX8ET4y@spP_zz%
z%7p_+&eJ`ZC>66IsL8+&V==DaCn<E}wztf^U$0S#r+qAv=Fn(JWZ?K3@bq`%@ZA=+
z-Y+!aNcww_)yDqcAPb>T({}95s46a)$gbayer7(Sru2wY<=Jd}-F4l$y|p)Ek0J#z
z`$CsYhDk%xySs$<U;FWIq)TS1X};Tc^PXK8YEml!;3e8vgd6KLW6i9F_pY`j)hmpJ
zgmU&*3_?PJjcXdB=g1YZpA0$HrH<Qp@0_62VJbE^Eur7-8m-gl25J^=^{Aa(U3s&I
zB``r@VX3t&AIvlq;|mt{WBWds-OejD-J44Of6hx)@>3#;d*F|oJygvOh527|yr960
zV)kqv5z<dM{45Bco=91~!TPN}F{8ICEeb{-KBZrhe@y>m$=2SBd{lrP{31*=%AT;j
zolacEBJ}m>(~%)pIT_lW5{=1E+ze#;c{<7%tR$kuvTRaJIt9N~rz5dOaw?cW3_PE(
zYe6|s=mOSx<qqJtr+5aZ%h<c0XiJdSOR%4!1`qK<FR8Am25JCgKt@5)5n6jM>+3Jt
z-$?I+O%t~GwCiKjHT`38FMMR>#nE)onx{0J+1+nSn5^G~>^Z5O_DmVPHFLyk$=<8o
zFs-1(^TqQQic@~7{Q-%YbZ97Hi<pl^1J!HQ<HIn&edlkgrr^<i0!vHL>%^LfZr!qM
zGRo_GLVDx2bt{7Hk@Ml<X`AaiP4_D{V-ip|k^gZ5^b)`({+*YNUxMv)%f<nWM5D4o
zCBusw7XdAvO!+;2n{qX3ftF*dN4<S^CH=Q8z=Jse%kz8s7wvu#ku;blBqW3*8!XeF
zHiwE}_JLm8J^UyhXn*Ee)$Em$kuoL{W9~~lrEi*s@d;~CU0IH;V5|U^c`iO+e>AK-
zdvyZ_f8OdJB>L4aE*2>6RX#T!s3sDDAwiDeqH4U8{&1MBmJc79ctY(xs3-8)T!PrW
zTBmgqd3=m!mShPYqOJ1ibZ!+RD@uEjpA0QSg?QXib`q6O@3d6XMkAUuEvDUOiinW%
z42*SBxV&x_VzSC114!dW_@sIqB($=L(XhiOb>pHq+t16(%gTF#_<m_#{4)o409j>=
z_}`u!Ju!{rDXJuM52aEsq4sSJtHA!qTp;}pJ9*EHDqq~IqAXX}*g@Pp|9i>L$dELH
z#`MtCNIN{b{p+64qXNP!%4K@3+dPSl#7r-A%HUds$PO$SaPB7<PFV1CkW?b(OHr}&
zqH7jSr?D(fkCFsoBwE}O*I>qFNSgee8Bt$2-P05Y-4MSjVir@KWK(zp1_s7Z^Q6_u
z;PwEA9ll)Lae4=w-rDf(<2Y)(QZtZMsc<~rR#cUmEGbm@qQ1cp;X{w?tS_6~E*7~d
z6{h*ChKK(aaDUxxp{YvC$mNFaR3JDcZ>K#&;fJc&WG}0hU8PFZn`y35nsI$~IdYHl
za6z!*P&`el0v)B#K_Il3D139WOzU{fHEPxxo#vX(*Rjf1GVaQ;X`>xtau}S9CJ@#4
zY!Yr#U(g(X>asaW&S$QnTR;2xb9}>G20c4p+hxv;2j25!ySH*wQOgBImt3CQQLixQ
zKcNaUh%2L7m9o3pFZlX$t~zFIWcwV+!W%%{(wJjX)s@rUjjey|32t=*xlWaqZ^X#f
z7%<ybY^h5>&#n8iJ^V&o1BHwDUj7+O=cA{m2lO@pwkq-r_7}?U5C04Lc4oCRDaXUc
zGr@-5SNO6YeCr0QE(=fT99uRjL?6(k34k>eeVjDs*k_OIv#tjZ53A2^MGzXdi{DW}
zM(iDAv@4E6+QCwT8l|ShS0BPzNl<8ip0-`Iow3^*I=gtXkXka$pS9d-V_~f^v{Z&a
z!}(^RpP4t`JV+Ju*6{@nZo$*NoyD%xm4Fe)fo@QJ32|k<nKUU%g$w6A#onE%2uXBK
z05u}9;}nGSXkUpg`B=BU&Dser#K2f8nV={`-HKXQSY6bzGjuK-QLoARQ|f%B)oM<t
zEF$FT<Ktt)H~H7e5dF(ST4!utgT!ZUPYL0w58pbDEAt3$QLtPq;NXXm$s19eDMuJw
zz`hU1#sX;gqN<8NRUs@a%s6V;Y~iV?LSSY~j4r`m6LX37;jYvrFODM;eMW{#<)KTm
zKE9$oc1YwhNdStijZ8RRz-hu8Zlh0pqy`W7(3X3GMiO2|S~sh{Q;ZDGwnYd)e%6(=
z__AZUl<xZajc@c0uPBQ0MHh!27Azx!z15oA#R14H23F!V&+SKY4+_PzR%I6%sn=nA
zwtO9dQG9rdLc|x!Zq(V-cHgddI&XLGPKE9P)VlxszgX6Xukpi1@LlYKeaVSu)`yNx
zu8W`Kk-Qx*VszrqJQm$==~tBZ7dr1c)ptCED4wE6_T(`{?Ck86ZPyIwMZ}<<z~4kZ
z!F!>|$b}OwlWf}BL`w@IcW=hy?|*4N$6sP432Xn6(w^r|VYGkkMPZJ=&(ukO;OL!P
z?-{f?VefgubCc&biG-eG!Gl{p_3sj2QMwjSf8o>LpKJI`JuVbiz#bIj(6)9m%bIMb
zYBgM@cdjE%&geS9f6}+Kt9XPGk?-L)E6h-*K&v(uaVoFlV&8h<bKB^D)%d#TZ(gVL
zpV@|_+V>6IX;ts0!S)=F9g|IE<AvZp(P6Py*#(wf`}6Hf4(FYnHO_Vdne%gVZ3)Mx
zP0NedG4ss>7w79s>(yFD7DhV8FG|)71<3{yNsfLJC8}`Q^y1_eL06I|pK*}TC!|as
zyS`p{XYk%AU;L9e+r?m_k`wFeHo&QCwS|gn*zcpLY?@x0X-A{}2uZ=$O4#F|VzKOy
z)lxFZHDxmu!P<AHoX|J8JeeDuYLnr0-VWiS=soPatW_0aD407eT1I3wmj7~)Ahx$?
zx1H)d?_s~a-M{k_qPQbwi@T5TUH|g)`z8IYzhQr-bf*k%0;Y9-xYA&&+^S~A7Lm8G
zf0w1~yMK1oU`rd$8M)P>-EeHsz(1c|$XQjg-9zz^f-f{6qB{$VxV-Udl2ND)MInQl
zFyfh(qT1e#Tagy%;q=>XIKFqFdL45e+SgV79MA*kV~`}aOpkYTyz}UONJWFQyKib+
zco^DK(|D@XPnJ+(#swNJ)=6>B9KF^a!3_Voo89+Uqw}^^3GOMklQE42>izFXV(|qM
z57ScKoEu#)6W$#>zdN9B`%4TwPyYw?5m9|BvD4W;^*8!hdE)+8dL2sOCZS=BpzoBY
z%ZlTmFiV%rAQZ`!^{+|mLY~djh%9#r;+Iy?3w33bmXMF}5xolBDE4#4WW~1Ss2F{A
zW$DQzFOhZl^aTab#=bcf#do02`LjJZUmg@x?UX}BLwg20gb+@{9tIMXe~!_m_uJZN
zPEIu`HDjGj#Zxknh<2!7pPZ`5aal5q?OIBGL#^^@*VA`pK^FUkZi{CJ`+b7&9fR_E
ziLmRQVBq|Z0!Tmf@NstTVpiIa;<KO$2g&?Ij+><1np|(Sd!OAd5)$Ho3UY?T7@qeK
zr0=ZOj1QG5^CHH~Qh!l~#9GbRd*Y51{<NxOn&(sJ^cdKIV3hOh6+I?*$tOULAyjB+
zAASa8p8x&}cHq)uRy`hZ&gE%7JcbvF?Ore6I|TbC*^vvWeiFxf{NS6owV{HGK=`<&
zP@s73%aDjhu@5vb9`6xfkf`j#_;1fw9^lBtQF||SDDn7S9IXXmJkN0U-_^L!BmB_*
zv#Q;$=OQ$D2)nbvYkAt>Z&I-VK{j%dWt08<T6jI~zB4VARaI4lky0d2OqYCrSe)5u
zSr?ATeE-h)*}61>wTiSd^D^Re<92Oq@F7G-$4O+eha(21M?4}KE(>Ncz8LBpWbl$z
zT5b>f-9qxdTQ0%FVU0aQfEsHPb0Q^I&B!8FbW|#W#t<?%`<p|X%5YrY86#UpQ;uD_
zId?5&I__iWaJ>TUKz%@-)1=^;R~IR|Hw}>JN7I+CGeShq+RAnSoTyBfAkt^bbw90l
z|E6^p5~i+!|DjFM(d-tv@3o&T<XNN5a(Q#>^JW3*M!2LHVPiN<V7~$Gd(ST{AmDX<
z&I#I>+pqo6W>|H<>XXaIEoF@@1o0V9G>`-DWNS&!Vni)}K?dbmug0oM?M9!~eQDhh
z-iHi=FlB?%0wPxjZ}x&dC0M(^30o2O4gwpV?^p_{{*2)hY{ViN`hoh=a%9(2`my-Z
zqVTmN_;}k|-N1%6;+2ug=o4R@M-w=QvP~kN<EAAUY6LK{soR%lKAQ7Kcq6+4p9+53
zfDxjYay)o|5cHpS$g~9RcrmTwTS$0yGygBJ`~Jh%cNjR$ZEYFD8;$O@s8o4DK|$l=
z<98EFjWf+~q@k^m$s3~{+Mw@Lg<fj5jc~0h!)KvgECT=s>>@xO+jlq4(Ar>Y)b4dM
zd34NSbJk*)?uB4ubY(m5z>0x;U)ku58p;UN`4Z#n4j~jnSX3IFoWCQTchRU+=+mlO
zlJx$xzAsv<?*u<Od%~EqO{B0G7=^Wr6NDPt<?ySY)NtQ(V=1#G>nYdZ^R-R7=GlHT
z77X(p3^^4GNvbtfvf7rybVg=S;40+lO1C_OrZA!?QMy|)Va3CLy^{K)_(PO;u;XMa
z6w{xHcoEpQ={f<xaz|ZM{kPuO;vScOEXR3_syaXOFg<zXykj9NqIY+aK(9Q;b2Ion
z@+Z8}KHJbADUl~eFF^ZHv@!jcK}(~pjb%7mY4K{8JEdarxU$HNx`qViuj}+XER{(>
zK)!CrWktU+7S`YFi>Fws!u<B#^vd^LV~1u#tH#Wq(iQp<*?EvNLR{n^j+1#0M5$0b
zPe71Cz*||N;5ZIWT6(C27&7SuwK%onv!k>~j^ofZl6F=g`oBK_he<zvX3DqjIKL{j
z**Jl=El`KHo!hx$t9aE2D-*Uy>+fE1;CNOneYpCSe{aOrL+ah<+wu$e!-X~_!?~sb
zIA1!IZE1K|OdFy5_TGZh$vyY^YyZCh!rXh_Luhn;HQDLffk-0FZsAc(P5l(FczZEe
z1;}GFKi01{!q3^6JAJU^efSRtUX8$(#4!S7nid}{n2Gvf;A*^9D<U5uosyCQAjwnw
zzaUsPULRm;4Ge;RSGeTrJ^Z}U?2Ls|J^^`!*XPs}UKX}FQJ6*uVL`B{47}4&eG!1y
z|1KBPqUb^rOZt#XYI`D3#hLd}C_XYAGe`fi_^68T*>pw2_}(f91=15^F{ElyT?z}n
zVn{aM<j%W)*7oWh5&at)SBP(dkK<J=x)r_?lKn+NsabI1e*AH?UQJ7Gl>FAo%6Z%y
zu?SN4t+=PlVc+rhsa;<YbJyBF{0sTB{;CHNNSiGM@aFm~1n{rTf9ze^^Eu}C&)N;y
z2Wsrpomt#l5q6C`XIG%vhI>B=-_{_$lIPnmK^#w&vKP=e(51%0=8-a<JDP&?yDk!}
zvF-^PwYwp_qIjF%FN2CK?KUF>=Z(2jNHG~8B2OhSpDKMWwUSUQY8FL<$caczsiw#`
zZ`i(E6Yb?b+dDPDG|pX96(ao<_f@?O*CKa~Dh2{0Vw<L(7H2^J6w@N^ZMy62A=c)k
zRl6!M$&%96owI-?b3SV{e?A~=iz+^dU*<eCJf~5B1u%uwqQQUow4ZyRz3Vx)c84vd
z8Y-?H5S@i^`Th2l3_uAlDo}TvjFqU8t(pdi5MM)&d*rzHmnlEa2l98I`Mfb=A&9i<
z_-3QVA~7#s9p(IZVW@JTrkr`!Uek!eHm1J@5FAhe@aOh7kn>+7eA1D6h>wFRx7hI%
zYxxiZ(PzK4mgQFXhp%l`Eu*=t<Eh$9t*gofuH&^!<6J)5&MY(fS=s!0(eP4RIOLMG
z9z?`8$uk+XgyL?x$(Tn~lxAD4x#<W-9MlvhPm=c}#I`6u-eUD^SkhQz%W+;7+<wdy
z!liR$vqoTT_+UG(#8@=Q63ke~mo#qaN=<_nz+lz3eB5}efg<v(xS8OomQ3kLG6|>&
zQB0wbBbo5iv68R&l4=qU6i8gRsIy%o-mg%*;?UsWJgRLm6N~y1#?a}1cYD?H=iY!a
zKiq@rb?NQXN2fD3r!FTN@OniXuGPF3QecNaVlN&JKn-4~#?!1)2LLE_xhJxvlJEot
zhna6-)ND{5yM99QF|<Z*op<`|V6)EqV5$>4hH)&pCFIoFP!iei+xe&>#UyfOY%q7W
zHza6ZKMYTF+c&MjKyt3tw#c){lkUROT{%#FOd*2wuCn-sp;{`z`oi%F(01}qmW)CA
z$IY!R2lk2G)=+HPxr0`mUQnPzRvXKTs4R*=tO-><nd!h_h}JvIa5an^df!+RJo?~d
zoN6g~5ND3Zh_A;I;s*kBu>I(%N~k8oi*Ku-CinyQkwU$wmG{c%hPaRnSde3e+r;b2
z{v#gQ__K?b_r%8@-rtN$MBwV?_UOpzbvn|mRipJ&elmREkL&ZGHl`pKye~^UIA9HS
z=xl@Sa3R_G_4Tz-M-1k(X^Bix8DdmojkYq61=WEZEX2c3l5w%pn=TJ0u`0+QsTEqI
z>=TU>1C+Npc1vcK3AQd35kVa73Jchn5y@#WX<;he5GvBn*$=~#<n^IWyFZbZYBI!4
z^1P%WhmK8+E3O4!S1*G7Yu)5u%F+z-9AgKT&vB(Vkv*qhDp~f;!5WE$cS2->Z|3do
z=O*V2;vjSvqJ8;bC4dYq*1A0!>zr>&y60Z<!CSCJnz=|kzBXzVXsLKG&Gg4aU7kmf
zkk-s-c1#c%c>0JT3x5oNztD_qx--Aot5k%@Ul()x*Tq~n{W7ZsieBs+*^>tC3DI7z
zqh*`nb5*{ReP1o)Cc1wqLhQ$SLZ(}!N3kM)D?@i#+jW~SdMmgXi<Y{(8g=Q@{+N0Y
zDY>;ZE6k&#y+j;0tj(4(*VE@otOZ7K4eD9-Y-Kg%gK_BV;cC+InUsqbWLWvV*8Yxq
zmnfN^^7B2CtuE7yR)2bPQGFHd|4k@UaTV`%1D5&BW@+f0Bm*6(*PE)-vgk_Mq$1RS
zXq1*7ZTC5SbsOMie`9-B6`&-0YIio2y?_;Ao|ncPO;Q4|g_S+==6drb)KqoqRdYTY
zuj!X=0g=n5G^(AE>od(z#Uy>ruTY~86JO?aO~VdL#4W(zuZ(}9Xd(daZwPkYbIS?%
zi!>?!QcHf4Zmozit*VZu+w#e`xk|$BWH^`;_MxGJs*1dUdA&-re!{!cUD7frKc*^V
z&v*x4x9K+Nh+qvb2erd(E!!7U9ZX!iIQC!wgFruA%kKUgrO9ATi8r=RhL^NQ_T^d(
zpS58IeU;zXb%tn%JoR#xTYXj0;U5kP#btFW!*;Fb;*2-Etg*|CGOv1)PwmGDm3)-Z
zKafER3R__Xn0S@f7dNL8*d$PU!AGGu|Fak1>=Q;^o^41}BB_;t9lmb2VfvI|f^5c~
zWpNmJed9@`N&xk8^0eiz_1g&4=O#YU@+glA3h5?=s3v|tH*smb$Pib94J`*L92aIk
z+_MW^<@cavtnYImZ`8WI7HHmm@36i1+-)U0>Wwfz|HYu8*I!JN`A?(5d~Qyrjf{MV
zaRj!x2IZ0TGP1BP=0CFrkEH?`c*bp{o=A5PUXeDY9iQ-IVVbPZ$F+Dby_Y!2sB&-H
zDN!wnuN+_F$$GkSZg_SOd{^{2OI&Pq;=~jj5t_QrtMQ8eK0(F*S>Hza=FhhL7QaVG
z5Hv`cm)0SYAgW}k!$)Pba(SD)^V!^<iMvdnFS1Nd$~ET;N}Ql3J+_7-uXSlNBF6A#
zoOqt4<Utzf-DkCIs*`0sBSBZe`RmK4j35+Us|VX9PbN&`N2@TV7*!7Ku=`Mmf1Vq9
z@WdNHEg5eDqo(Zmou}jS#L0vnDEN3Qfu6cT>TbmQe-MfYU(Ae-j=Bi=8fBy1M=Z9Q
z`|9g)*R(6bsoCdnxo2_`pRsYSNCuY%&BcP-gl`WKG7S_mLe2^%5|-WzDe;&d^bfu=
zmb%i9d{#wbN5M;pKjxj1H9S}USyB?EjV_$-iMyH%e^kPUxdGlz0~tzK0p&oK83*(B
zle<fr`C((Rr})I5R7EjzmfNYk6v+?8gmjNSilq_=&IWw#!@_<!7x{d{X&mBA6q7;6
zx97BE_i0su0{t0QhpQqrj6n%dC*&Zq5qBNLp<n8Y{Sd7x>w9D5Hr8D=dga2cY{0d^
zI_%X;j-2xO(g7Z=7qJEFH<ms*I205h93+7E_9{G8ooPoXF30x(TAVt#eF1w^<!#|9
zB^ISGP)BPw+`qb`xo3gg)9!QYFO)Svu)5gDu9~*Sc>qf4MdE_lVg0O5cuENLGJN*=
zf?-nVBT30;jn<8qU%lhIX;d~AA9ZhIt}ezdZ~Z{box2OpuR^@e!&DC6O#UjXDkbUb
z@;+jijKcIKj{D*2T9fV0PdEl2XDi%ITTomxS+BC%ZL~wEJp1<jY?(^sm+|_~Dufe^
zPjH@2=J}7h;vn@JZx5M%R^I8`Bb}q3AA>|fQMlMhPf~`t*w~__x+1H!^~W3;LC4$0
zhb}~YI0hdR6ZQ5)9r{6Qx^ulkfp(->OCVE~yi)N{M{2yx`<w{Bq}W6<;rEkeW6^vu
zdag{KPz)y?_h}p)mEcoX?be%t)tUZb^6P~41n;e`(C3u8?SJV&(7)iN0KJ?s&u;g-
z(QWk_Gbn=K98P<#cLzo$>Fs%}d{~}%xJPi?Qur2|SSc4+Cav4$4wI)CDiP|k+MXma
zucTfE=23=%FuNU62_Bo8KBp`pg_%ghW74MTl~U{8pl91g66SmLrCWmi#{62=TnDe1
z-CuqdC1=DfIcjBC67y-xA0)l=S+b{l?}Z&hy&P2~IBll;r{FmQV`18Z5qnC-VLSS7
z>^E(M7_lv}r%r9Tyg|}VBME+NQlc2*Ofw0m<1wx3<KmaBe8I`hiQe<`^RCJ{`cGbx
zbu$Jwv>mRJbD`koy5VDJ<wQwoW!oj;iMDRPjvS=nS0Suvc=uAHPQP6tdkFFDK|Yv2
zsxRLI8^`wOZ}~O!FQ;+b_2*tXp2u{S1S@+-3~j6{UdeOLUa>EqrA6==w#Td2Re7*u
z2ZOLNgC0o6KNigWB0mZl=zo^h@l+UsQtgzt71PK%NyPz<V*zkJKTYVNh1hX(=j=g?
z#CW9X%x>#^oU#Rp61OfRPfAVU`bVS2iCs%nY6#W@ZQ36b(Hvp>svFbXHAkT*6PZ^j
z&K>Wae2KA4cjKadtk!vdbvlk|!5<!821=6$y#|#Ys)v=7A*Q>r4x)>yWPB5td7<u{
zFMs5cv0G}Y@{S$qYEs=$33+A;m047cNG4Dx=YxrR9hEV7HPFDr{krd!$+JT+aNpQ?
z3EsGUrx2WRdn4+yi{)l_L+9;?T~xXr1SadoVa8S6R(o0c)u=)fNPv9(z(67EODpU?
z;r{h}<mBX})qUS<GTl#m-n#Q}tQtN3+ajy9l-8ly3+3D}JUc!n`U896^Jl>f>bd1?
zqdYB5u4Oz0sjH308)S3IS|B^E3hPSl!Al~7YKu~x^BsPp$-061Vv;nDD#YpMJ31{%
ztd#3@7NOmdDSh6O;Kf8yrq9W`nvHG)5vQP-u2g7Nan)3t$yagIde%u^=n(I?hu1`=
zL4mzhWu+r$L}>9+pg5{4c_Yb$+VZ5mr{W^SONpGD9bqGpo_6+_AL}ea`>{MlzkX!I
zX`leX^z{2Y7?^_VP^GVZq{@PjH>%Zg^rUDHjAu(!*Jv)-TLNu$;kLs9v6k{Z3ayGL
zE_~|s{<B<~3{>gE7-OAiHNs9KDQq6TanF-Ar~ivzBLExOBh~Dg+%5bn=Eq4)9~P$=
zDnml-EUao8{s5ayG?l>na**Q`E(n_mm*=%MK&X&s{#kY?`0x@&lit1cV~}a~&aA5;
zWLwSm3-wNk_e#fB$<W9v4p~sO$y$ADgd9E+AkQ6}C>eGwpL|wxzrwskmb*)1spLAe
zw)@B<<JTLxH!z#X<CSv?vnhL5swoUNtwB%t^qOY!_h72vlQafPNxTSr<RzB^52Dqe
z7?C{f>~Apcr`(EW8ST~IhjGY|WRoKiDE|H3zE4_FrNfhE;;k=<yiB@bVe|`F+w1Qz
zE@N@AL}jTTzT9dWY&}vvUY#{EG$+jCvMdgDN^I=mpbURPJ?3hVR<v-8@mDxI{|U#%
zV7kG!Nb!>wvJD;dn51Xzrr}CJnOr|lHZ&ycK|jygLF($L>oXEizzYxTzN{D60!R`l
zYD-e~S?g_@mUp8f%|*%0YOjH<Cq83Qn$q&<dm)M*80no5B*j`pLg&*bcp;rs5+tXG
zhRigraU%Xl*Ap1h?N6g)CFp?|Dx;v{ivnm#Gm2PlC$C|QcC!Rw6Y~m{bg4=eY;4ee
zt`&0WJ^M(C0mYTrDb@sb?CIq?LNPoy`D4(D(Thukz?j9eVQ3xjRrGr~3;Xo45WF4}
zuB{U<&nzP&BleVm23sID^#a`CwUl$y6%yC4HMvr};AwA>wwLS`QITQ{I+}+p)&=-a
zx>=oa1F;|C`Y-bNNA+KixENr3vo40>43%Q@sBmHOnd(1VRqZ1BX@b;jxBKnb*N^dD
z;CQ+n{IdiT505J<;R=x-7^SADH=PlJ@e~X5!RYsjuO`w7U|}rtK5*-eyKub1vCK=S
z-5s$aV$ec;2XfYs@^kM)G>}EJUFpjMF>uEzVGQ1522M^;36{x(s<*5?=;p+2&+97D
z52{ls6*|;a`r~_2HHN4R*7B%hTc3lx`?wQa#o+i>_Nq3(0m)YT8RHp%DAbZ(VdSn5
zJXT^5Wu8B)nFr`6tmn`DuS~Ks?^`godQz&$)oyLsNl)Y5_<{8hKQ)u__w9*D(aQJ%
z7FqB2pSyX&Eh|kK;Fk^<0YR_wXk>4%DgQ#C(B6N(C)znCHAz2D@a257Se~oAl*HP~
zb_%Kg0W~WZ<CBO$6h=>)^1V8F(n{1|c*W3_09p6@F5Adic`p|8W&(282brQm7tg91
z+V)^nQtK0eUwfbvevGC}I{m4*M+OI~G?ZoX!PXe;Bf|EmKjx9r@0~t!izfRifdX+0
z8WT1kifRR+$nf~&*$=cYAC@F$O-trd_)+ESM~Y^Knmc*2{4II>>MXlvi)~jQ2LLIP
z&MLM(-!>f@8XESePq|oc981r0%HfF1nf0CLU7>eK#*<sP5m89jOIF4iGeph>lJaM*
zah=HKfWy2&<7`B?VxwV;=aRSiNf(QJy6VG^aC(}F{j=1I;Tz7sb$O5fEULgVt;iA?
z;dpF^EVdt`S57lR@7HB(d+pzTWj=Q2z7%`r^mQpIB{2--DiGix)tal2;UxO|pk;)M
znm`>5scR>Ejip!IkvN~#i1Yin@~x})nIJQLyg1`1o?K>7Q@I#)1a3yrTP@B!Uzi5u
zp^z&2AYgYILstC+1JCrw$-*?(iPL3=h%Z)CD$eYF9L`$dML^!M0FjVOa9Eu*XBcV;
z#WKuY@nFDH8x*m5<G2_=#8@}CYccMQy7%QfF<0Q6ox5~K7_RH%fW)EepoN)9b93`-
z8~@w2Ywid#uZkuaDm#RQ|A?DycF2HNR*OwZWn`xPji|IQ-)4kn?dGX$4a|@0_7Bj!
zFR1R(p$N~v+{@yNCz#AlcHShk!<w1TC+%)Q8bSJySAA-Zxhrq!DGzK_T_gO_V`|7`
z6qnfCamTtB3&!KYx-d)%7zJE77;**Gwb1D{>=DF}rowpsO`a>US~SFwjDZEAAe&T>
zo1FOe@Ex`^8nk(D;Ojbc<!#O*2!U1(Jzl04NQt})r!MLSZA(=8QG6D_5k1}{fs)Tv
z&oS4rlp3{K%~2GjReAEC?Sp92JZVx*^bGwo{d-2AduS)qJ}gR>cFN)TU~Cp+sX`A@
zkL!C8wa_f#omLb}DdIL%Z+kU(J+R<&Gl7VeYJ0TbYsZy$*rM|iqKy9d*_;)vr&|0$
zU%oPhkcSFhPxj%_JsuR%|0j`vp`oD$_+7Ez;T@;ui<L1-q$gE(Amrgf!CB_9XEJ9k
zlukCj2-p`3WdiXHCXE|b_JC7)6mds9kL1(5&tqDM4K^6)-fw5x*Hv0jj^H>lwnMH$
z56@3Qmt4EYImbw)*O-acOSC{aCRK>F9xqAe{hs~X_Yk?xT&NTrlJHWVhkW_-C-=6}
z(g@5)g<TvW66{#I(`e6vPkXs^%m)b9v`i5jKcjgzU<20fGmhz2enc_DKZ0Z&XS3`)
z2Y%i7`6KL(RFr<GGeE~byE-f=#go=2C^+r=R!v`JZZxnAWZ(WN9$0e%lf71ykQ{1W
zbGm4|Y!NQYS?o<|fAL^0u%}SNpNu~L)<TFPJ1gryw9N4jEsFxBRln<V+GDrY=#9In
zM_P77OH6zR^CDp3n?K{qcksz|fH8$5#W9DPYgp{fzjo>iQ})KiyHyW<mKbTe<j4}`
z*sw+k+)UiR=stUX+1J-sTwDz7##mo3vP=W`qbO$vvFf}Y?dPwxTYeEr#i>A@!AqzB
z&mD$|N#0_9E3a4=)!w)zPjGuT(|XL%+%Isqvar!CU(vpg(2+$!qmB$fi3nT7>2vJG
z<dP;9Q|)_?X4cDX*Jtaum($0+y|~H$D(98-D6xt<8d>mH7!x|`dsvo|SA}6&%l1_J
znWvxs+=y9?Xu#*~?KY!65$L|}_SBi7!dSLf13J81a*bx6WVo@kuD@u-CWi^t&Aj1@
zZG<j2UF+lmUWwe)`aluh=21YSVj@dv<;av}-5^wqY{e@^Z&J+qciiJ~+Ek{QEpUYI
zq4Q*j!WU~*TLc1u0p>NZM$F!~v}>@CP@CHZ<+6`SJ$@XRwD(1X3<I^M=Xhx~#6|r~
zRajUU11Z7*0)^6|2!Y=D^_y@>Q+TePpP##Udt;-$Cn|!JHZ(LOCnuZ0Ykm9IoLbMs
zH;ymJ1>Kq|t)pgy8meU*8On5PY`0um>gy+oa6_ceJN7*dnUbumtoqGrVWi_*E`W0>
zRfnoGB_t%QIq^U3N;bA8>yt1meiZ{{;2c|bRnjP?n>=sgdm#(XmrEGZmL*JIZU{EB
z^#0Aejg?f0x7lCEy_B9<-@v*nCktg+tNaSb6)`7yi^vrnB&yc539{^;^`TLfRZhw%
zjVTdK>5s+8heF%H<Z_8qmJ5ezZAGxu@PY}tVktdyG58N4ry)Em8Ca{qA~)}KM;W&I
z&;}j~(bU1gF;x_ZuOXBgjcf&jKwqQ+FhIZbba#OH3!h4PizPyy5U^}+ZhlEiv$D5u
zoGKdM3JD3>$YjoH<I5ffq;h)dhQrw_smjC2S^dsRtPp~Ovv3yKvuwhFBhRz@R6*ba
zHNa;1LI`zTtUt`vfb|WhxN%!@r1*LVXE+uJ+?iCf<aDZy3pW+8n&8ny3q{=m8u$e?
zNDHk*R{ow>kZ50DUum-#U^A~=X=-XJ73OPY`!L11MP8=Seg;!howK8?tgIP(O2f}_
zadDY~?n<9ljBQ@breB*iu7*Y@fyrUDdL1HtDRdyvA_!;k0my>_SeN|#6<R|{Yvh$5
zuukUY8@u0)tBKIQcdu&8&ry`*<jGU#Nm@Fh&)t^88s8#qi@0sM?KbPvD<d)=xoRgv
zMpNgP?6$(ZeRg66B(lygnqHc6$JA()7TL7CM0|F3j-KhAnwnZ=erk<8I5>zQ7Zgx$
z<a}G+?O2{DS3DlGf+ohn&7Cl4RyJvcjRrHg>bRTZ<K^Pw;^6q&-qKUF5>e{0++3~2
zmSV6{^ijXQo@@;&;3T=~$^H-o$|8I~0SZWiZ5+!dvy=+yR0rb6Ihyk%LNzq?5O|G6
zwwji_8MDNZmeKIy<?u(vBc@(`uJ84%J}^w0jj!u1;8rmuG1A*bxb_!)VE?sk!<5vY
z+P2dIBiQTx0_<-}kt<{^jIO3E)!vCO`@mb-I|toKBop3bfl(~A*u~dHbIO(4yoLiN
zH!|`SNE$iFNJzZQwqao0!XmEMnls=H-QnuW7o%|rh^^36DA-JDXEZuGI`rr}3W$UK
zegR4fv$7}(6McU`MeBRXHSi@NiZf9J^vunHbEk}{7Orp?ondfK`JiH1DW^Y8@^1#U
zv2p$c`xtmgW@emZ9Q1N(dO1;n)7;r^F@hbIcpDfP2r2#Z>(^yYyAAb9)Hy9N`wlVl
z6fPh6+L)@_S1yhU`e@QVI~MA!Lj=xQST#N%x2^5%$6XG_#>QS=vqT9>#p!8j{cAM<
zrhcuVm;%_NC7b*VQ@RgE94G&)YON#T=_gKNOi9p_1awf&-rq@77o-T@dHB7vDdv(Z
ze_W{RX7&~$h^hv-1X3ug(yl<|X_vajM`8_ydGJzHgR}v;s=Jg~Q3gy#%2+BKlE+=x
z25D(-o^eGmL_7}u!L6o@j^x(VBc9@(B&O}3W(>D|>%^E2>rQ=SF7(xuG@|>(_PYsk
zO}SJ{Tp|1@K%mjl8fBB2OQ#`CI+9#=y=ON#f+gg_YH6_UW^HO!u0ncA$?z9AeF7bF
z!Kz>m4u=KbGjf33s;H<?2*Cg?O1=7q3R3ZI*56C2@-g-I-{|g^Y}Tj9qOkh>mfVtd
zIn3MScoZmbkDH1A5b2cC(a@NDVDD{IXQEoyW<mD~zsRQd`HfA6vgg(ZFT*$%7NE!_
zMWZCG2`?clgnHT{WQ7Sz<TTfkMyJw<4PI2gCB`W$KQ->;-e%kx`^vpZa04mj$+;Tv
zqH}@<SxNVrj5{`zPV7R}%e!0>dHbVU^Ye!e>ay_4YU1xB!)xZZ{F=<8z;<om7|lU-
zA4TiC?;mxAO+cV+@_TFG|L%&Ql}`rDN?5r4Yt2_kskU{3@OC_67d_<i17EU?sSO(>
zLDz+aYcHyoX|I&cCM;d}P=BW$dfMxvrmQ?%V>%H3=-@q(-4~z!*WJ`Fl2%+w<h;DP
zNv*K-)Lt7v#w!|p`%^R2KjiPJXkf&+IyF=aZ!4rKcu%kz)0?(2eJ`L$Kcy4L*EJ<s
zS#N4<;<r0dWKy5xH226qGf`FcUS=*cQ+NDLycta(TR@_)l9+W+KCO!M+^z0&YSx#R
zm#?6F4Fb7_gPw!Fk;Tgup7I;CK}yNUDXzLlvPl%3&FjqtcylFNry@1f)e}h7dX&an
z!P-+MddBR)K?8y9l6<p;vP9i^mx;@BP8>(-VVvSTb7RtV+pefYlw#v3R%mH-DSZVI
zPGQniFR>#AL83Pa)1Y0wO@1mtp^H|^l-F-KqZ}Q=aY0#DLpOhj(cEbS!JjX$Th}0<
z>BtZmw(HQqBURB4%}aZlDI@7BiHH?G{hex_<@qy<9t1iLuXKF?IM@qU7nfD1=6t~z
z*KQcRw{S9ljBZ7{kB?FLx}mA8Y&N}GXJ-~4A<b&g;&OII*E+Q`f`en56qe{xJz6LE
zLJ|DIGJ%a>?bTiYer;Jh%wuXGvCG)?_>10%7$<kreCF>42M&uzaCly2!OSN<vmPr|
zxzapt%O3EuZuMv_>P<8ktuQThM}c%kpvpsP2nzw9-JC~Q76~xIC&C9H(8PnniLpX?
z_q{pGC}Lt*{U_u_6Q{byt7>{i=?ugAk>T@50#@B7hb4;i$_*#}Y1d3>S(#En7o#vE
zHDkJFo&<TAY9LhGR4OsdwOe*Zp^|K;zmD^TchYYd2`yA;y>~ovRR%uJzl3K@E+v4+
zs##v`cqBH<l)t-6_<-6tQ8h1$2#0aYSSqDf)oN#|0`Q`+qjNxT-~RfP=ej!&pAfjX
zx+*Fu*})qs9BVjZK2+3)d1OtGj#j&Djrn4AYRR3Pp1xK6^Q${Sjz7i&w`fsUIXny>
zM=wcKC#k-fSmRH5m87~l4sN8y2Wnbsx$t@>=%$m{%--8^p2{b)R?Jgjhlv~M>OHAA
zGp;=|$^gR}_Bg|73?iAR?Qiby@4v7Ybo~JIEs*NoK`09iTif3^!Z<3-9~^&#_C4Ko
z?CtDg@?<1mM~PIF52g3gC|Ns7G2(Fc7bw29t|;%<l1x>J99sr66_yj=(hGK#S~-q>
zCEk}0mtnJ0p$@FnW*&6ZD}m-hnE>?C5oX0R=m{q(v(N>+N}-LeWCqyj$I<F)L47jo
z8VKYehIzkkWj7Tbjmk(Q^1`RXv;f$#Y+JbO(v!?hH(ikS>XC1H1nrBpOFE?PbagLx
zM>4n~t?p>f>NA(0jx=@k3ufwmroJZRq}@VM4=?h43J&h3oX(&mlS`6$h2o5hd!4AB
za2^JV0ql#-)cTksod$(tKErFe2<qWu!=XM@&^I3m02M7d#3>aMvg!YxnVI>cFpm4m
z9})=6o>;@FXD2e*=8R8=Stmg)ukKVRp`YK^VBD?}y!N|}i|Mmd4~(H~>~(9MlgSj%
zdF2KJJ+c7apV<$M7bKUVRWThdI&#b}o0G|VZ?6)r`=Zh!N-vT3iF89Op9@prrXTRl
z!PLN7IC#hwLIzUU&wM-8nQX~tS>F1{t|>?e3?*h5mjgp}(lpm7^6pnoi5!eO<f=%L
zD<rydwEFI0tta6sP{E~ZSux2;UZq`UF*;jseNte@>>lmeC8u7#Tn<Zdb<|aMeJjjA
zK4PNFMK}JYy6Xwkdvl4`nQmmoQ_3iy0D->}_zFZyt#WNurX&GDLHFI?stkC*3CL3P
zaMK@*45|iVLAV;}5y1^szsE+Gz)IDS)G33Q4Zdbp-L3iSj|z0-zkmOpo=#CJ9tN*O
zDW<=+oolLowHpI{D`;G<2zMFc@tSh4$XA%-Z!jHQOwOH>%2W6D7QDCHHWf4v5C}_J
zuGHrZfI6=(FMn{%b@*N_F1{;O@Bb1N_PcEm@2!ouv<9rCz8X?!6V$m}QochmIbWIR
zL`I)JNGJG<J_fuTRw$nm6C10ns2Cj^`~2xs8Q!Cco#3_JG3|xT2JK?>S%TqJz2m-)
zJm3VGTO$@ov>lob>ip0bb9b|F=L?*5qx9O$t+$@mESuyW7CIgh-1muTEZ3=Bw>G+(
zy*XO|q97rwt_yIu$^UwV(%!-XtWFD95v9<u;Bwe2U;vmnvIL>AD<1FOy)!n>Gj_Ax
z-m|>VS|%q?$Rrk$AV7Eq+C4zo+nfLTUV^OewjuiM6<jcdlpU8<dji;bYuxjAx*~l6
zI1}?laC<#_*t)9ybR0-W0~_y78#{exOjC5M_4M=rO>J^q>1Frbk{7wzQr>Srn~#Z!
zNvTo-Vx}%v4Z<-4a5aBUPm>4Mz%k@~FcU6V)-gs2kVsZk*aG&I@a);7m4-Fq^Pron
zYkhq^=M_09fUwvO1=yT<oId}jNKJ`<Em2LWc_l{h7P)YX<R=li+|1X~cMPsSg_c!b
z9)ybQf`^h>_2y3-8Y>K1PlfkAhpYTf$|N*_P<JA4ojI^(_y_L0aK9r^tQ-Rr(4~(+
zJ0D<c-K`m5lQ$GO{rzDWaSj|I^C9co_vjORa}*a#Bc05ma|BG+WvxG{an5N#;<>O(
zKVxxQ+uHr<^U!Fk`pXG5<>;s=npbutq@+fN5n3j-I>}{dSe1kv1eJz(kv&Ftm($cv
zTZJimem*@B_~zNZ4Pn=-^dhB-z#(<ex3*fpo6Cjkbw0gDJ61&vC~gZEU4DMP`<!Fn
zzTa7^akci&c7UfT1^T%(rEeXiw5ihja;tdXaoe@ZJ2Py~|L&%~<O$Hx7kdi->%(WH
zue-;yQWg60`MFa$$G0qmY$N=d^$lyy1_8uXVU4yP>q)ej?RRO3qx1D0fH7xR)VXl?
zON+ChVmkN3xrVT%G}_D<%QJGXNTEiXQGX~>Gvl&FCq=sSCPSuvV^DZd#jNORJ^qF3
z%8haR4FHDWGJ1OO`C?r?Jt-4l>wdO<+r@gi$XWC7;H`G4x?vUy5UK+%7Gd<+byISy
zKhN(B4j{5ZsWpbHCP6@cWk3HbKKYv%=W|q_7j3=^3s>r6^psMncv9Z`qJjbfmp@;{
zl6`!9--qWr8=GHmXA=#q&s@EF8@E(yl92F5+{M5kV+yQX<>GN_NQLIv8+^3Du%^mZ
zcP|WJLI)q!%QW;HZ41s)7pVMr3jSv=fNc}AHAf9TSbP0_fW4(<oH@qW{!9KZJip<=
zgofY-(y10y;O;Dm8u<*TUmbjr<C>C*UlYh2Mt*h0Z05%Z$VoQXFHoR;r`Y*z`}?by
zWQ@?!Pu~vCBst`KM|Jh#8VfFPdx`zCXU|qfn<`q|tSHSj=<rOX!dJjkx~HEo02cH&
zs{e90J&^n}MEKoZEdWbe*}C^4Zd^&Qg5VzBfR6hg(PzA?(D0*aeiy4IfWM=kQ=?I+
zPM7eq9TlTT=;;BlX=%=R7(dS5{|eqp>A#+8?so-Wi1;Zue;6~Xjt+G3>s7NpTLP>^
zf3ZO`<CHiPE6KW!lAqNSp*nE^g~){i=SHEfh2Mk#>9>XXtaE3N>fZeUPT6d0b*9+}
zHoNXjJz;AC7TkGQ_)Me9OQYfm8qn){Q0?#=xFZ=%(?w6UF(qS<5uu}g5z+rpvz)V`
zwAm3T>DRO2exXl9oMk<C9!gMtb1^&J@!HdXEydi-On=(e%1SQA=P=UfdJ#jU$@|LQ
zcSrB;Joe6_!q)n}!Rsv5@T3NkSzFKMy`LX2e*+$GK<WI8le)(1WSi8!?J#Hl888eE
z|2f|?1i*N}B+q7iaueZWV@*zL{Xi-_n~d>`)U`Iu08c7d{Jp<)|Jo4+lD+f#NTW>C
z7in$O3TzPrD&8#s#<};ZxY_4u^5gd+$CxHI&)|IX<`%GO{Ky_~jPJs*374XxVk9B^
zkXdbgCDs>_?IMiZk$ema;BpVKk5nc1RDp{Cvc+{=2Xo@dt;&5rVDRbhFT~%z^NJ8w
z-zyU6UDit=r~*v|;~rrEZQ=pI2HiK;004#qO_cl|0|D)SFS(b(|Fd#=M;XOg&-UQk
z-O^Oc-`<^rIn98$1N<;2$xZ3v917V3-WgbCO}WVyfkg*t0D}R};@+j)N8!UmM_lzp
zh-RV%dFWD$>(0Hi<?A?%?%1DhdAs<v7u)N;S8D25zz_T$@>9#=T#Lt7tz=fU$R7b7
z1<-tR3g2(u$kLt0B%AuD046|C_VJlxvJI+%kI?jX<K`d!DIg||L2u{_Ub66UF*aUq
zfZLS;*0~h<^3Q$mCVesFs-+fYasmq$`9JZ12Ofy)6UBoGaLVf8^Q^scdVQ~Ag`CD@
z=_gwZ7ab)3O`s4WTSqXhQEA;z%gs;md_P0DEGk?YJu&{bBf4aHeYqtDnb*_YzjJjY
zi-gRc+46o}gXj~@*9O-gu6}w}M$IMEHmw6<7x|~IheFDdl7e~lL<wjo!rC7cR0!g#
ztE(mSDM0@e96N4kNC{b7H)U*FgL*xmsM+sWQQ!OJ|Gr>tAceWGe2O|xU)j@t{>b<B
zAoH+RR&k=0jZL{!^tYv$zxE(X)~D0#ROqCiB)8?0zqgqtTyI_9qONOt+%K<V?G2oE
zRHt*${(%3V;HAkNf#dF^uWeLH>&7Q46Jy?@(?)cU_789NniUrgT3P`R$IZYAO$GHD
zH~|L&eI4jeV!lT$W`iV?vlNW7ybWm_Dw^v3gh&BJR$v3pJyB6HfQF@Zj|D*>|K#C~
zg`?!gav)BZL3+Q;@Hgu205m6nN0hABmr&}({>uAnG2mjzy?3htE+bg{JJI;a$jH>x
zI#{V<2L;ReUsqS3%U=(FJpMNKeUtFMYtS|bU=@HCARzj;6HpEoHo#l~tpxSoE&o5g
zBtUNm#UUq(6JTQ0)YRS+MaTf8x1F7xl@-+0;IG6a0zpQUW@cs$b_kM?C4l|h{SFj^
z^w}DLC!$QRb-ud4=$A8ECqJv~F3<}Q4ZOT`B@-c2x`l~TUVuSW?u5K=GJ(Y(9v(tU
z@ucE*TAKAM>+5-w05{-sfA=>riGb|Zh@R!C3Ox*T^kwk>A?~lEs%*RHQJBZZKuJMD
z-E=o>T4d9qn{FhfJ0t`_r3GneMLMNBl-MEy(j_fjf;0kWZG3;<8RLv^jPvK&;~hhv
z7rgf!*R|GMbI!GH7=tl5iVQ0sl=TRQx-^Yp^pjz;{|#~!YDJIvj(GtrP53~`Vo
z&R@I?z!8%M`ixbl;yNB4-Sbs6kwt;tkfO&_6kmHtx&*jTQs<CeFkd31)#%m*fK+lh
zs!WmrXX&Az_uO9!ULGDEBy!PRpP;LJP<sU#7WE^Af+%9-QYl7~M)t_q*cfgPWT_?R
zQPNp=eK$8Z$fCC{#K^U3uN--^#TlRcJJ!W7W4a~<$q5Mr5vojTOfg?LoGIwFyhH`a
zF%B%nfp2W`%hgl%1!E{4`PG-JTTx#4{Nu;tEw+Lk_#^UnjPjggb#XCgR6789_;lel
zV&ewRcf||))eOODCN;Hzs(Aw@MD?6>WMX0}$(%+;xCJFlgJkrx%#AbM&kUI?-lCol
zxlm%T6uwEQgWeEn6a`vN60OQWM1hG<N@5|pTJ)@y`RiGV<cPzcS}03bdA>KjDNd@%
z`5`x06TjF9L8xUs{^Q2D(F9LTq0kud1~P0=knBk+%S--Rzj~mShc2`laR#SxT-PYj
zj#0|8@@j^Ye0F~ZNp<&bYC=LTj4}BpjWx@6c9s`jYwGaB5xY$rGSKN-O;6MQhcB2$
zuD3QYP?LJF<-_186XzgGX)$P_#+Cwum_aJB#SuoBnAZy*Nxm2ybx8VEB7O@VDwH+;
z{+GJ{aK$SCyXNHN)Jp*0>7-JvJ5gdPPwG!SmK8a99Id=|t&N<V9E!GI?)reG?BBu_
zA~IAZB%0w4bCG)U$!sJ{7JfgqU@>aB!`aq`Ktx=qNJAvE=spdN|BcD#8XQgPJmNEL
z*3(GTE17UeLWW`5+A_1Uo=@I}z}p3(7>G$^nA4RFayWs@x!MJ`qh%IP{%ERJWG)X6
z6Qk2+ljk<Y?XYwoAgXN)&Y$c5d50~pucss=+@YdU5}bBp6|D@{T9ympBhV=>d?uGO
z-16F-hWX%9kpmO2D6rL*x)kL!y0I1U451%6%GxXoqF%2@;_n~`Fb*ZEDdiQ7jbdb;
zja~<iCljzf-o3nZ>5{80lPWWs0yCrO5Uq(WwhGZt%Eh~W-K2B`O60*B1)R%-a26m|
zT)WMtDrYlZ!%HS#6kRfiPKzE;Z<XbK<SrLIAjLcvO#T{uOD&Xijv+%;mRNfAZQf7Q
z9&|jz?N$fcY)z|})jO%|-L`a~j`iNWi`iV2+krM9XCg^vjl%qCm=K23G!e@A`r(H=
z-K2RKr<V~y#^kl%Tv{wxcSdB?+E)4Obine$)j-hn_W^8rZEbDk9M#^tDJ*hX(Q?%}
zNIvyYg5<xHlr?JIn|b<gODwEx7(N8<kESZTQIrv9Tq=H^!$FM@Cw=9>fY2@@VeQ82
z3ZK=i)i#o?NWjJl3Jh8fXb1;uYinptv9YmPB?aimAq`A2Cnx7J-X*4_z)Wg#TFmp!
zS>2y#Z4(+cB`IoZY7nK$S&5s(Te=LLwD}T6)~jY~YHOp4*Had%Q{wji2xQ$a=$i@N
z3|;Ur%uOh<;NLY0lE|?vpmdNRmm*-yyQ2_Al59;^dDQC0s&4m&*lI@a+Ppy6>`}vl
zdwV#V2ttm?_791h!oQoaWnv08Zn<iJ0x@8jo`xp7rf6PJKB#GRPKPW^>T0!jMnSnN
zgy6xLbI5mBe!EOTs+@!FiKzJHl$8TUvAL|?9EGmVjO4PFYKy3@gt`H~NRGj_VDoaT
zWe+7@a|a{Bj?#~FgzZ+wp_;NMw=oWnZ}{Dl;VX2apdXPHwGb8+^#=Wb`0DEfVQdy$
zE!1QQ`#M#opl!TXIJuB=oYB=rt3zN@P!8C?ypX8rGwMar%{=u2!G$EJST?<cb`y%Z
z{lX%>xthY2s=}SE%;II$b9#e?yShVtg_?7k8bQ0!^xbR*jg51QkzKoT<pk<^4ip-B
z102_*sE#0#G05$f<*Da2o*r);P(hA<KOfokF1JvwL@Xj^gu+fTmmu^&!YD&I2c(gK
zDs`O8H%k*%qy&@o%Pj|T)$+b@P*6}nD1(H9CW^6P{H`&R`JlV1>(iu3;_PtM3={fB
zFR6UV&t%?jhbgJnw-P=XmG>gjC~XRO+i2wbLS#t&OKX47O6zvN`KXDgh9an2V1c57
z800wQHY7VKDJeP_3_wrc8jO@WXj6|auifc0r?zF0Ygv3xbo0iI@`{SVLKEz!YB+h8
zQfWW^<@L4OcZ@5nN3bNdg6N!LI#i-Unfaw*8%QOcev9(tNL<)!VG08(-lLB+nsbGP
zqV++qY*1#>s#0RM36-r`Y36X&(_mC9P%qHLchIBH_a7X^)@8s{lzYNc!U;$Q$y)f}
zS5%CgsjISyKCi1B&m!KiGeZPPo@Bl`^XTC>J6yq5&W3OPhMG(<AVk=#T(*CFYii})
z;33deq~zosW~JQR+z2BlzANXz4S>PC;VeK0?3R@eqQj^Qi`yKML%V2>muuBqoyILS
z3;ccaM67JK9{H8?kp*O+XjNwPFfO|6q0~b=uB*dmfDCDp@@ysughm~5kFLOv%m_8w
z!lzthn9Z~dq2z)OVfmc0>~$pc^zNnwVZEc9k~CM&ofGB|gOk#S6w1ZI6lRQZ$S-d-
za<H^yy5jfw^XH!mg`oEgF`?U$?is4R<%N)u$&Kaa(uVc8r`-$|l^8Q<MtmmP99Ba%
zkb)Hs6c~Vlzyp-mS^&apZUuQ3z>1~KyWNT`le`kz2+im%=LXB8(VuidB-VfULy8eI
ziK-zMR{U#HW5~Ck?gT%pJ@vc%z7SGHxJm0XY_^byER18(Qf45Ml9s;q`U{r6=DXfJ
zvMZN2j6zfBSPkfRkXaTCl;%ygmtGrZ%!r)ct2MypYIZ`awfWA(H@IGI9ITH*aHF{p
zgW3f)J#htTu?ye7G%QEvaxVoJwc7Af4z`5l%~)ro`T6>`8x;>jRSnkxB5b4DoB#SR
zp8M;SS-uWR{o-QaEHXIl4LLu=a~hSbP+l~JmQ{InS!x(H_43HEbiSJ0L5iJZWc8-3
zTRqLfK&lT=2u&T}RUi(Lv}%pv<n&#Y+X#b%%W5huRqD+~%q#HCoYI0=(+!zjK{jj3
zb-rCPxX;5n-)Xk(4G5k^MRq-DlJN?e{`?oQ!s1;L3XB8A!aL(If%$jFs9!*4LFbZA
zwXV{9&5@im6IUBUy%kaY#!>s?p<c+CML{_U?YCeO5aY2Ds|ZAx?>?~V+DIqKTuh`u
zm#``i3@nigEf0$=X=!tjCMO@VF#X6NrY9_y!x2U0SdSjUjgCa_ir6s)-+5{_%4e;4
z^qsqVduOLWyFB>$>lZZ=FT^M)UHZ}S3TEc!=FgrX!;I(F@5q`KD4tL~GV8c3eh*Q&
za@YXCMRNsNxZn<ELb$G2et1Ck&+I8Mq|{xjbPwfFL7KE?LsrI;L4$2BW=2sdjO;;*
zOv!iTGF$`AGmJ72nE2hgAj@F{K>#{&Fy`dsWNB%M@R4wY+M5@L4_}BWuxgiOXJljm
zov6yB_~;P?bjRwX?MjS8lEU*x8OrVE2fqyPGGaCk4!pd9v-zF^q$cu0$w+?Sg*iI@
z#M@*_yPg_MBYZMJfdlTv>MLaU<dTZ$q}@8)ZgRD6OgS~SvN?~V(MEb%MA8Qgwm+EU
zvgooh`=LBm65d1!n!ON&v+(LHbcrLqa|er(hlk&l54wzxKdolYh$P;+bLUQ&=;7l0
z{QRA0;4tm?ffg=Yk(zm(*{Y&N%Z)&E?_$VT0($XBGIcFq2BI9KP>h_~(ug*fteD^^
z$qf`L=j$HE&$8AvR}O(M#KpDMbpB?NbFVDOHfC;Drd~f`<XY_=7$`UINo#0mFlnlr
zMSAeZE6hX7tmsmDR838dr5+=!M#J<EAH*5;3d&;VvcFd7$i|YWN7&?ijfim!*icMA
z?lEx?vXVsUSW)T`$5_+z)CMG}eS5ZER<6Dhyb+ERWQviZ^7{Sx;fKc`6VLzt^5cBC
zm`;_wA?#Dp)FM?TLsGiDk@B*#vdYRVWk&TB*oesO!^1;5dg+*r%P~r_wMMr?Zb<5)
zl`?+Lm?{`I&myE4Khmgw(?%PKpo;?oN1tDQW@^+OJUD8}N<fC@i<+R4B)lm`fh8e8
z)8nm?#JL=d6Mp)!8v7BzLSIVErf~SuI;<$({-Gg$9v)SO>#c<<Z)#CxGWjm~){Cb3
zgHZ#Y1lGO>zM;%YQ>Bo+p_VoB2eVrhR;*829;ivHR?0ji)V9db)w1~=#tI~Lnqi?-
zX3Kdevj3=#rXaO$odOH@V)T!&9kAmoLmi8YZ<T$^8)g-RJm?bFD%-xRhOxvQefjkH
zPi7fO@u0TY)kHrz4Z%{ipg;nAPC7L<cFs1J<Va2nd}cW<=C;EI0}iv%ch1Gbhl!Ja
zGjnp5c#GT>OHS}#RQta@BQq@kr_d+aKLptjKGnK-5|lY+_!%w?%2z*DydRxDnnf5D
z+?6CV_QEG`bDtz15)7MFCFRpuK`Px#3zcOokVLKAOC2-MH%QUSj@~~>=geuBt)7e3
z(LWj;swgY#KWzAK6)TEENN~wfwHyKL9?QZQ*Fi`~_()_&HKW(cMhz82T9BdL8ImrE
z7-A$_QT1b^w+#KlmywG=FzwbeG7E-rwOJA$84f2Y-B8P;bbzI@Z~NIH*dgiWM}N7D
zg%r<q0a$w;o}O0ECvi@0p3y3g?^0mEVgvi|v){$n52r!u2KNzevqM2EDSvQ_gV_u+
zO6i7{15=D`o&>W+!TAE3>xpR$MbXNZbfG$4b_&sNW<zJcr~ge3BSb1`p_s%g2M3T{
zC(}25zM7S;-o5^v@sE?<W;p0XmSWz!rK!Mi!BtLWSXx<m?&KLf2iB-S+hw`Ll%B=F
z+ly_8RPu)0h+~EZO_ynEu%ck_miP~J;kK%ulCg-fi?w4R_Y#u0IL-N8r}cnRwraGl
z`idMK@6=*$x$D|!`G944MJ4VNw?EaFMPVFf>4*p((A)_`SXfD+E0>db_W6ZbUtb3&
zoC#Fq>DoCgzmL%c9q4GMq>_*4jYVib%&LCLMz_cwyna7AUmb;zT1!w$)m1@}bu*`j
zit(<6hJ|sxrFthc@ART^CYZTlE2gNw20JBq>hae($0GMmD=66ckw{WW!&_y*H<dfA
z1`Q*3W4@8;lnf4ZnV4`5S{CFY<b+~ILNsRs%e7-9Q7xd?XpiH)sP9}jTLl#A6c~Y%
z{aKAdT>&H#DIg%g$H&LbZCk)a_q0IMD!(%r*_NL6X+$o+%poa$q>?<UBu!Eaoe~(B
z&2inzg&k*C>Wt8tC!XAcqK^iFCfeECgE2(`hMFw4HzoMP>KTHWV)$UGhH=h!_sPH6
z{Fp7CPi>UOz=}vKQ_fX)`|pX}AAzRRt+>WI;1FSQ7I=r01eel7*c<lW*m)TjgkY5@
zJp3USKm@&geJU&@&Gr$4f>G_)Z`=_1^PL<0Gj~m)`sae6DVo?y#EQ~N51)E4Jgx2C
zVp(A-RL9Q=aZap7FYjaS`Utyoa&Y|q74=Bp=XmF~o^#J$!=A`ca<?0nZC_;raiig_
z6GSy|u-!fR9bkl3^UEhr-jbqplWJig#yB)+uVr5tPurfEaIJ_qKOcQSW(tEb|6<F7
z)zWVL8fObO81CkMj3rJtd`^$V_CMc*7+hGhocp|CWx{jg`14I~j-%O@mX;5>SZWOE
zj1|>DK-=5f!^(Z)KdcJ!a*KP5%SW~OuLz<9isQP?N<qRbXCrA!Wwf#>utK6l585Aj
zFUcEhJ@)|#0o<3K{8jS_RugbBYtOxQmIwGJp3Qa`+=JuW%SfV~hxFV4iGc5crl-l=
zuH7%iOB6d#x2^D;(>KHI%UJnudqBegnmXN&)+!CWHbLCLVySG-A(zSD{`}tyU7$M5
zP=*u^(HHXV;J|;weTGC+eM{RQ;CwRcOaT13QTiG9-y?`@X1f@mo!3ewu$<q!N0H_0
zATlbiJj4+WZ)Ru;k>TR`N?O`oT7UK_6)QAoJh>GE&>!;DpPq8IsUJaUi{MED8bU(>
z`~TuBe+4b*NGEoKd~#pv!{Z;?sZL!20aY|-Kh#eH!Ed8>qoJ~Hj+KAhS>?lHnXv7>
zJ)c$MyGM)CVoZpQ=Nq2!6WG0plP&be9<Q!^H&(|M8x~PCiJg`OKuS3-v)Z|LR5t7s
zB&cIA9j7S-6r;bK7z(Gk7>z=$QnTa39jH@b<5yPhVP)FIv=H?o{etLR7hmk}<J3K|
z^x<wR2CWldniL9t_I&mY|6mOT_J>V|HdI}{*aN@t*nZ9KCC)f7K7L$xd7&5_Kl6tx
zMW<OlhuDc8B2n!O8PUqv;l>3k354_0|7iCYfnK10H*S4n2C4q==*UX1<G=WK?~q$x
zsjc){e_~Ch@cGUP(=M`-9OZ~4D<?dx3asKKNFSalFYgFTMpjS%cAr{<9AIz%`!-B-
za$iW+SP7md@%Tr?I{9rJVP&?n<J~-C)9N@JC{96k_8J?Tr~reQv*7r|g!dO*dR^BM
zQ>(%Jk*BjOpy;um%&-F=2t<OX=aJUa<el*iZ~p7eaYbKr?CRARUEl@=e}$r;-&P4Z
z{R$AAmuOM+VSkorc_VYu^W71-9F6*AwNhyis<|@yp}Iu<>XE)%|NG0e+bo)I<uXXv
zbf2};##s-4GW3bdZ6|yexA^Z?-hKkh-_CPvY_L#I$dl%Z-@^}|AUfw2H3(jp7&><9
z8U;&(&g9|XIQi|XuZ1@1uu@nZ>=bWM=A2z!8z>~_9ji?{VxbTZ3c|%Wz%u3Xv;^!8
z)y!>O`_JV=`bWpGkDXGFk_J6@S8Yd1=E8*5Z$<3YZ#?%j_)9N#&|W)vylz>Z@OOA}
z(r2xF=wu%w*09+|4szm8kvl`nxZmZs&qS{#UnZdbe2!O!3iVcyT^Vuu9zX$runtjd
z9Ms3u<JG4SLCZX6Va9oBm!K7-8CF(S82+r03I!hUUf87qMgZ_n-xS@Sg7#UvP<Mf4
z;n`4bKI`G%5Lh0gfHUD=orihoBoTX1+ar46q+m;L9PfgwVNg4<-DKjR%Wd7k64pSZ
zJRA6gTd@v;prD}X>1lYDg{7sXx@@U#6Yk(9NuYl8L_h6J2E@VZmj=5)fleh;hHcff
z|9G6{%Id0Dr<ML62t|&2>wAy9W(djoZLRI>8bNxDW7UbJu(q%`_$n>xIBJoV>^>jw
z2AAt|y60nH|M_CTAs<Rf?0DN4TyLA0yN$b}R(p$lm4jHB_;$pfZn4JVVux^klB=(Q
zJ(~ax6z)WO1U4f;>=uOz98^}(&7em=?VE3uzFF8J%$EM&UH*@e=&IP?>6?<j>`r&>
z_NpJ$EV!2z0h0i(4sHAcSarOKdQa<j%ZrX-I-M2%K~K2%HkbO}q{!(_7(Uz$WTUIt
z$=KwHE7-|OQaAq~wyL|I+w#@Zhk-#az4A0O(Kg}TI~lyLWBSK#|Aa342ZQ-qQTesI
zDSLGb?&NTt<1uoQsENbD%JtIEOIfLGXR6s}md)2y5H`FfZ~9Hao}WD4=N;0eM!+KW
z9AD9|+^daNmi;{;vGqoZ)E^%46GxMEG2fcze<1*Q4{oo5eiE#O?y-F+0p;{p#}Ddi
zq47LUe>kLXaIgZa9mCT}uqv$nyOrB)j`x4O03A^;0pLMwj0)6sY^RmWsh=De8XAIH
zcW*O>S%Z!pc$3JwcSn!jum6)}rd}v0D$=s=#y{EP5Q@Zhuy^-Z?+N?~m^hj|J;8nn
z7HHi)-Nz6rA;nSN+aK?$F+qN0YuKN8-awn$Ew;A_8~vB0p0MxXmnduke{r6xHf;==
zeW;?E_V~!nhhQ-^{?Ks(yT~qB2>I<MygGS@y#6FkMnA=LH!dmKEw8MME$GN)^ooYx
z4r%?>x>`x@vUy?on$uapntH)v&>-x-i4i;5bSLi)BTwycs*6!>mvezR+0SoXfXC;#
zKOJCt+A$O)<KuH`efMa6u*e{_?%lXk16#_2=l|5arvC&0LPWXDN9hfwj6w8@;W@!3
z(h`k|yA2y5G8CBZo_W~qMYBi{A^0b~oO+KZz&zM!x`1lYPF$sF3^198r(WbSkQYhq
zG>!Y6`=6kNya!nuAVx$W)&sDA(CyRU_Hz8ABUp*J-uw-KHM*|zaidU|t()y&*U=p7
z2!uy@@5=5_CS;gSJMYp!uf5tyMZR`V_@n;F`<ds_>QgZxp+*sGlG*TD5IS=UKyCSJ
zO8410V7bpEHoX2A4gG5K9)#5zgb1HjVhv#+KH>5I&+LnxH4iE(S8&=$n}(jt0E}fW
zD90X+z4}*V?Rt%sv$Hcqb6AwviGQNoA8xYhR{ee|b~MtVvBsE{gaC;5eEOOJDH&N1
zjAl%$7y2dk+xKSRS8Vc#h``5(!^o%1CII(){`~nOSlPDqJA*knIdFBShefA?EBU1m
z!uS%8v53!e_V(t56z{{OqttSXzRX`!P+FVa+}+!2{B>ESl4W-`h(1Mzs%Lp1&q@z#
z0(wzx)R(CUOz5b=7ciXfwH+THx7#ip{aLf~@vPW{`Qh&P;6)!jzIr75>_sSNR<i3T
zRqC_9o0yFrmf$pyGk>kZ-l=KKd%h@fmmmTgfc(jAhigLs$AkTe)w6NsqR4+%Yoh$|
zljGR<etVN){_?*ZIdxGJ3>8pWd%#Lf@?5WmbepmO7TqNKFSv1ft|NMG<K>u4b0D+#
zz_!v2Wk};eVxv~wGY7h;P2r-vyp>Syu6>`=jZ<)t`P6Lp${RE&$0#?R>=cRZ7Ka17
z!W7rBRy4An*e2q(=Q-mC-jt1oBetq3zljO`$vsH^6Ms_ngu%(x{`jv*|1PYyZ`wL5
zcjmMI9|n@*!8t4<XzG}|X0ZPS{4PtnZ2Zs-(Wtl14t_95k%z;^;d)>ZxzBbJ_kWl7
z$*iD$y=DdVixTW%C%r=Rz!YMSLNRFDa4-)9Sn$_LFzyZ2kO<%2J4nR-2xmSS8P?3<
z1v{;%YUV0Fb~9m9)=&+D@a=#9x<BA(y_S6>@Wj1-MQ`Kq=Yr_oPa6_;{W`D#{&Epa
zKAGolJWyU~?g;(o64@~{GovG0IjQpx2)Ow>0W>Un7%q!NETBZM(?<JC_^K`Lg{Uo_
z>Bml&Lx#`(^8cNugrWgB9`lTT;1G0I9{&FO|FgeT4xWKp9LsrlA4HMs`p=QULG}Op
zH|*_SL6Jn#%%Lim(RT)la$V5fvykF*U2u_S4oy(?azZ&_A3^LH995K%#1}|o2JHv*
zPprp1uUYsr#hG~jOg5AgQZ_&g@=NmMZPBvjZQdPiJ^MK)o8TY|4-KVg>Gl9KmMEmS
zREIV)P@xnulwprz!!KmOkH^Hj*mw?c$4Ns2cr*yUp3USFzc)@#Hs&1ND>^4ah5`CA
zX8_i~f~?BM<26c3$|dK+s@brkF1Ln1X(93T^XG30e}XhrSO}7;&&h%hRj9Nh>4$$9
zLO=4uhYwKnzxikwy+$%ebNNl2hQlWdbJd*B&;kY1Qyz=1G(*{CQ#l^nX$ET@9(NUV
zAf2qcH68(`bb~tP7z3|(S!b2c=*0%Nm4eD(88^2*fDmFxBp4kM;9txpL2&@3RO->o
zbwGR_?2Wo8SZ=yGs?cI6rsuJg0iy=7k?0T+EQ{Upr(5i&Mxl_dfS+JLwxF>6Kk%|!
zTZe&&4=*N7b<Emh(&d|Mt9M`9=OqYaFLxZU-bHNHVN|>iJ%(ZsV})E-_W><JX*Gk5
zr<LQbW9zKg3UI<>r2s+&VDgowrlyxSMXR7Zg6=9T8U(_p`$#;_!219Yp&+;c0pKV>
z?yWwSH#qDCxj%$~ZWD`9zFcDm%>`@Hg}yq#?t992F^2yCwhX&|wJu*<VAKS4J$-1R
znj9Fr;0$l;Kbr>VRdF=>EGxxh87e$h1l+>$)z26z&s6{*L)zG?+p8~eg2%J2ynF}y
z?h;Q=&(yt_N+LV`*s}wQ8LR}U2j8En7wVGvPp?%@o;(bRcL9f}u2Uy3_{Tvp#>+cj
z_xPW~=EZIHU<7{gk=zCXA*X|uO?*jv#c#~EcI`s|)g3Z25d9HcA|kAaa3Dpk6BBJ~
zWKmrL3rSc^*ZTaM*xzQc)sv6P%ivAZgDSf14Y`3iXQ?Qpm+!}>2Mb*P0!rO8Z7Y1V
z(Vo+UwlT$1vCWg$wE$fwb_(6rhKr3iRKNnUy8|roeFQf8hn&18W>#NyNUyEcLAl;l
zw13h1T@Y4@zO%?J{~y?*ut`3m-2{bd^<8Cd&dW~gFXUq%pPHI7IGHn8A1<EVI9cDI
zdN$<?{t1TQ{Bqf%XCPj&W@Toger1HBCp{yof8|}ZTD!(Ne_HCc(1X@+J8cr%tL<zs
zE1}Q7&ywbME$tS6*#qB&E9&C?xoax96{_-M(ghW^m;198gdM$_GGc1{MA9^GYF>;v
zhj^G{&E(sH<7*vdLKijC_(yMjBi!Oo2jOF5t~+n{R`#Xmy*Ioz7KAn_w&FcE7QEX<
zrma3-KMT`14<?~-cCBS3z0I9mvw9#V-%@?wGP(I`a`otHJ?M6tEPOC?8_I}G&!f%0
z@ewYU2pJms*<EhZuf*T~IrDI~<z;2t0|~<4x0>+MkXp3e;Ns0}O;@#l*3i1<>M5L(
zbX`?NMFOR!rY164X*W6X(R6jV7*z%fIw^Fl`^i0xxBurrA!!U)(}>#oU8-BH&WX|1
zkt(dpbX;{!^M4L5-K0v&^JO8qhR@5-?`Ef}#;dbmUkmS$A?)!4XEp5S1<P&G%jc{8
zE}VfHocE2;Blk6ex}&3`n@o$()%<gO^HusJ&h)gjw7NRs0GA<{;je&VR?px6-F&l@
z^}}QH^`F%+_e8`4D$m_EayuSHCqU_tO>H$ikrY^}Mn$EslI;4gtGoX@<6k(&-xvNo
z|M)bqJDz(XErbm#vOu2}e61ea5Ntf;0-z!ta21DlVaZYs(x1Ti16Hhu*YlK=lsw@W
z{_*2U!hD%UpNA8X7v4+Xq^AEpnWh|ZqE<-Jr(io}VrK^=Amp*V7)r(s``{yUQQg*l
z7hb?D>@M%k*4tSM@oBls6ZM{oeRTj4U=*aN$=A1b0;FGY2VE}VY(Li16EXWvibxRg
z+)d!Mx+Hi;F#wlTV0h`@-NKn7dhx#-_y71S6V_)pNtuvI=6^ppjiuu}B^FivA|-$<
z@<JuWB0)Ng0{7C(++2c)GzQUBb}=zAc6N41#IRACnjW45Ho;!5mxq-k1Qb~Kw9Pv7
z@wA4@C6O*L@z1`wff1gFj3fxh^!4;atljHy)Ynge_ZxZC2d6nV>Og0t30Ej*-oWTA
z);y9#bGBBJ<P`d>EiJEJdf8*n6C)R&Fdz0RIWtFxr6zxPh7&P^3jOnr<*umLaDtLn
zB<@U7;6qU#Pn|>~(vuRd#LmnW55eRv6RspD=>06#ERh(tu9%rI%IXt%+l>off)PJE
zXG@u^K0p%iauOJv%0g8tB}7}>mlCL@+#cGBpmmn#T3o-PL*T&nschU(mX=H1ljiZ`
zACK*Vq}6Iwy0R0Df)?iZ`S}U)<1;Jk2Z$tRgjaV)$`wQ%l8Z?Rf%wqUitk(cmBbwE
z=dur9N`IaP>+i|Jw(WnE4zCy*SgM&1bw(N`lZB|E`v#wVf6Nl<<oT4QD5Hle9DgB`
zMoXFTk*AJv>(^J9F?~&4eCrarsID#<PjnExVXC&75^scn(=$KHp^$OVge#(WM9?}6
zKQn<S<70s6<ZV2mWF_%i7sP*i)W3fHnlI7jy%?woFZ%ABJ=G{Z!DLadefzE7_Z5jK
zBkVu-Q16=L8}2j6b__=bsrx+W=e6_96QLTQp<VBmAEWS>#OE0&TTzhwf@^SZeUmIL
z$+_A&k9E#oK(N`p6SI{-9wamM^KE)rCq5%X@WIljKE{wVBD~Vaf!9L0V+k_S8Tf9H
z@fo!Q!dOM$6Ari!N(M66l1)i}+P(@30ci0KMO8I1L^-&+4$q=hA_a_t69#EV-qLsq
zGv(#Tcspc&3Vinf)e@M`(*ADQJ|VQ6IBtZ{L3Zf1vz&V0uBL+eKy-&qh-6S=TBa7m
z^wr8N$}YU3ZnCxQ^2>83U*4KZeW!_aMiL}cFq7ov=TiteFFx>L!om5${88$S;IrRT
zUCBb-zyyibiQKyK>fs0I7YPmyPQqMz{t~-urqZM2GN20({QhccE*BDsXB-6w@EM$4
zrF1C`Wruj$-dRMp%id$V@}0-{<Zrgvy?6eV<s(!pL<-c##dLMv66jvMILU4z%7dS=
z3jV?J0ue&}bQWY1k$tWKA|$j@eugsIZ3%%R)FhlA1s~d21gI#hedf8KS1C<Bs2WMu
z_FrEp3PDUv%ob<$UJN+S7kzmD9%P_J0yK^U;87A7qgB*Vtj2+9BE5#eeoq_`Z1jYF
zg&j%UUA!TZOEQi|H3Ned#lZ>c9@$c|v_W5qE+%Gb5jyBa-Vi6^8K(+y6z93%%N@y`
zD?*}JBT{43W2(iWh%m}*S5QhycNVm9<LZm%=>+YkpyE|Wr$SVGCPhd^R^*biAOx@c
z{O`7vH@7dt8neIiZ+n$+C^`YJ_4&zT<vu?PM?LB`=T?H91+rjC4(GP^GVRwUeu36O
zn%|~p((YNszv{CIk$!IT*?Lzg6rU3jTRgg2+!fty5gfT}&y=I;>Rx|8*w2D#Np*Dn
z2aCEqQ#*12mC3--WwR8Wgm%$VCzi+jmK&I#Lit&6^!;klqKmS%2;=32ce427Q7+pf
zYi1Ub=m~-}Szvkt^j{=)&Th&?_8<SJ*ta@y4(Inc^z~<2VB-)|@XUjN^OKDGw~64f
zn>Z}~_z)XQqJt=uCwQvBb6rPRu7$w1D3c+q3)MTfzI~B`(opK>*l6UPnb4!ZgD7ED
z<-&B8Sm$8U+0&Emw{xMLnH?qEcY-{<ay#krEV|s=j1-0R`bmgfk^>dcCQ013cOsK2
z1XOFA?}TU*7Qezws*7s&^U%gPyS+jw%GdlXDYPg_DkEaZj1bTqzt<5H6Eh+)&lUe2
z-X#YrQ|9~&i-aU6rysWvS1+7{;0!M*dw5^5FA&~?P&A|i0gJl+G7fS83Q`j{F;fGs
zHeEIiG&*9yl5)6dO6dHlCGapwM9z9*&WpE}1nC`LOT?=765DF@m))05K6s5ACta!;
z#4x|(LPX^GP~3_uV)Ew?ecf1*uj6mi)0+*iuq4K=L|T7SZZjfwNk;nzX4&9<=83lm
zZi!-h)Vo$pGc)pmjGtTGvv*-=6%V1zMJDm~VQWT0{@2{)<tqYd$&P}pRTghBy-IP6
za=4XaR(Eo9A%DbmWLRheJa#<IdMIe~h*nKa5t+2)Z(PF?&^+xU^1+b9HnP2%!GCNN
z@2;pdjPY=-o!o#w;JI3s4-O4gR#tMi{q^<{7x$gqz~FB~f|^R==i~ElHoWR>N$8yS
z#NNn3BDms8@o>C^|MhmmrMJgNdyOZDE8wL@I{uQevdZgQqJYj;Y{8=MHtu3@Fi}|J
z3>+}l>khF3unv^9So+xg&;0YA+THc>qp6oSy`g`tSTnz*WNUZKu5o8j$BCH0i}hcq
zyBZ;b>f`ZE+||sgEEj0pWWdMu{~VY^IbE^!Ir-#4n~}VbUV-ULLj5AvJH*$=V-;Tg
zxmMj2SRCEg`Fh=oSKz7N{f-3dc1@dv*2o^-ws+hVa?g$xC739Blw^l!cr!?1+PvIx
z!`Y3?88<aMraq8`@Gd!y8Kb*2tFp^JRw>A~Bqvk)6$(*LSFy7{q!Q<U)on#^@giGX
zUQP~U^{EOi2{D2a9sX#iR#mG+`lB-4$B;Bzx34+r`I)qO#{Pwj>I0VY9?!K|M$Oz_
zCEf|VAQ1~V-3eh7`nq|#rbbXJ7M#U8+S-B-8VPY;Oe`-hUI}P+T%mty!&&>@lw1Iv
zXm;(ASiw{4{%mx$wi7f-rUCo`DA3#63*<JOg#~zBfYJO3o#HBwL<SOt^7ZQv8;;gN
zB7U0WAZ2Vk3&0K3g&IIP!hn)6ZW92kz~&WX{(I^()SXZ?RIgQxfrSx^&MEva)YDvd
zhHQiL0M$P-!f2k5z7lJa_WpyYj%FAsH<_`CpddBm4h}^Pq{%l&PX{fX13>xH5f8*i
zmk?dEw&5Q%FZA6~h;oRkl2y3Zra&-5#s1VUx~J+MNAo9|nJ$^HZ)0NbH|um<D!*P}
zO(raieD;p9z4gtGe=7kl5tosB=Zyo*^0hFkt#TgRc!h6EmaOE~nk=%F8b5e-SQ2<b
z@r<VJHHUW0dE^r4EVWx!9%-{!XgN5)dS1{u@r00iJ@8eB)!t3P{do4_U%}2763BzY
zsPK6B<>Es>Qm<YKxG3>7Vcz1}JU<ns*YDD;<wwEcUhB5kEE6i8cBh=bjCXyT9a>vE
z?7LomzIRcK(&&w==?3J`tG`rJqPY_HAal%FRzYu(14uxd&+0NW%@(?nq5Q;-=$!ie
z5?bb#;1TW3<6(<!&|HRp{`?CKnvgxs!SWYL1N65sz1I;u0lV6@3UEimccMP_SWh&7
zxg5+>*eCGnU;ccOka=Gg^(**Qyaj;+g6krur(9CHMFmQsmm3v5X-`v>BQBdo%*&b)
z6{guw6)tGhQ`Y(|e(FZ~;h5jLj3&A-I6=unxTf_BZBL}qx23XlE1E0Hbky(s%@ca+
z{IZ9-i8E&G*M__I<P+NBpM+q9*TglXhXKy1$ZF8&s-9LSp$YYUnm>Kpohf-WmgtI9
zY_q1EZfk2hJoM<}VT`}hE~l+dx=<*?@Z;wb#TK;yl|inCCsC|agf5+T!b1}1?$o54
zdVMwnJhGgSZ$%fu-#>3-#VG87EZQ{J8vk4}x*XYDev)~qj|X1X`180Mh4UgxvBEN0
zrQgQS`|p64fFi0`lSQLh4=Xe4KQr8;lp>^8(rxe(z!y3F`=`FTd9ml?U7x=WTCt_<
zMX<=Bcl1_IB&~edhOom-3)JDK?XfJTp~okCjdw*n$}%k=R(&;;`5~`~74+<tKaE(U
zOu}8R#$PYCK2bs?Idm!XB?M;Z+Oh@8#*N{xL_6y#&~XLR&N`a1sJo?0$kL^q)Y%)#
z_RdvcK9aQ?F*%N!@zXFGm&?M;g^?!$F(#-QBecyf3LOMaKwLks{D#FvL!o%g)nFlE
zQQDZTii@m4RfU?$cv+E3xc)h#))N)6p#!nS+T&~DD(W*-c2D(v*%*oNC=mpbJ#x_z
z#GZ&u?R-GGB;jO{CSR{oZ@n5Tz4_6km#j9KTb$?m%Lv*SRU21yN1(s$$|^&?ShQm`
zw|Zi}X^H1X5T{D4(76K_7nh3{FP`76{SRkfIbOj(kY)A4h!B4J_giG9dC%s9b8}aQ
ziYBX_o&u#VczoJ;Z@Avm&2GYb%%*ZDo1+9gp+Fouf(`&d8smBlF}nUpzHPWAh!DDw
zSC*F@NeQ+I{voS}Q1n8<MQB@OTTH;o#(^*bC>6wsfV)a`K~LRiLRc>r;y{<sx!1d@
zU&aP!WU_=K?6a$Q)_3UjY*lV?tLNqC1}CtIZo7{z$<^qRg@*^K)>0dn$}dHCuIwCm
z8A@8r{_J-VSBp0c_Mf-2;F65xyulV&lW+eTH<Qs+RYRI#zEh=_@qSFSs@jh?VQB<r
z2@hEkVu?#MT_o|1GI?X7)ncxlbFdBcd%xnB8J`w?tn`rMx*h?lnFEFH<v|p7ka+S~
zK57v#23)e_oTr|s*GHoWN2HB0NlL@MxK)bmDGpM=G|Dh4b>Fh0F5qo#WRgyWb-b95
zHw4?wI52nFt#d$GO2tYo75bJ&c4!BHF>q;Fm<+1qkl^4z2CDD{4w^+;mJc8|BN?yw
zO*sql=CQ7CE=7LV;`8MXs$#rSV<ao6=V$nfzyD}do7C8!CZuNF!mjhHTowkSsM4PO
z8c5$to-1_xwC$9*3l|fwg;6@V_@7tAe6!3Ax#^SQvnr!+Rhq?WF5eQx%KG`q53^F*
zj!W?^1)JHCa)I%oPnOdR8FHc{l{gU+k+gcH>5+c6q$MVDTn=0&vRuycOcAUx^zWo#
zb<=7oWnGsYG#Mef(8hR_aUM4`@ad`Z-02}<Y+s|&Cu)@^C>jegm1r78<0SG(1yoD*
z6H+-r*-(crn4pStY=(o=;MZz&KaEJEBnIgz6JOGPI*@e=>Bg)pX=He~3IuVm1A|(!
zSkooY-4(Fsm~y($tC+?xKR4GC6niL?+(pIeckdQ@sCk}-W-+7Tds8I@;j*%QuLfWX
z*q2CxP~el5LvcUtS~bRIuB<5F`=_9>9KgYJq_UmWHEzW|qCifG$XP0bp9>42SINV_
z<<Q_uZe807r^1bi&eC1)dhmg<Jq-1o2&Hn1OP!hfy1cMuh!n*p10aZCRC>CKKTBdH
zg<Fk__@`H6JLXSy9D*2v2{>s#(#1cKE4kn9XYp0LjRz$WDO3E`f*_)hp`|@K{S!O8
z(D|vwP)*bLK*?kGl1u<^6`HD*n!I_PL?~YcNwq##>2LF8=}}3fw^0&A7yEeLJ@9)!
zx*F<)?z<sL*A?W{_3p_Xe+GQxk;WS?TJ7FQ`oE>50I}aQ1b3Rr$3JZObdbJ%TK`p>
zM~FCV=b5konH40NVomGA?Ijolps=@F#M=Xn{2py&Po3>JuTy&lh*G%4MZJ9=*Pwq6
z6y}XdmmxiD1l^tc@j(KF^KEdkl;xd>yIsbkc*ko+GHsv>rPD;Qb^)yB?CGSyNTu+P
zr4mY63R<#NKXJn~qGEa_%12g{os^PDBba{{j;_hZX}DB3OJ-C&Q{{N`s$(`#ibhdG
zl~*X9o%GVIF2|cyaobR*F3q2_b1mOhzYR{njV3i#rn8ZYv@EYi7(&npsbRBBxZj>I
z5bKJRxiv$T`XnLcabhK_IhS0uFx39)eE>Ilm$nG2$6lg+yuU2Cy&h%FL5)sdkBKFw
zEF@Ma9Hm4laPUZ=(;9^JB3C!frO+iog48pi4s;xdnIuwE3@t({)`{2sBF=9`21dpl
z`8OhiTNZ7I3%|-_=<qWXa<s}ZiX)cgW($=^MVXoYfw{T49%Xiu4fT8cIfaD{Fbklj
zvVU-JxrXh^m(6SQjmg+sDs`?A_(1>%J>OF-B~U0BNUaZ3Tjbg6x4$tLT_@*TCBFiB
zXKI@Z@G>Ml+=n!er|>Gd`%F+Rifn-y0hWI|Pe=8$1(RCbht!>BGM|vfIxGKhkruX;
z%@90)F_R|9qwTH9XCAVJ&_sU*g5uE56vvwDXrk(z_N%i$O+qd1^zmp^)qng1>Dx$=
zj)qkN?xj*oHAC4#OoCqvDQ+gdx$r!0IsO7!VlrX%m$gAu68G|TBG*e-zu|eu{@(B7
zlg|7)vwTIKOs#yBoC!u?par7tcd78{^e4s@kCIYb3CA+9JrYRXMExAVH~PtQQM}&;
z@lDej*B~WRGteoZIfC`YbsT#~7(w{*(hb2j%};YtPul3X`+j}DC-vI6Kz#+)nO4|t
z)6>RIYg^m(iR@g<ieH}Wz?7?qEDuBLTWBENqm-WkWcx|4F4XsriTuVw<WEn0EfPYD
z!9XPP_jfaBuk292%b`Fy7sJYWg%<9x@fX9P!h4j!)4sOTwsnm+Ppy}$O9u1y*t51|
zFMTMrc$CFbyO%4I1|R?S1+E)zo}d2ySuUx0*|2+$yR&L6v3L|-2IwS}gd3_dI;~2n
z^qFT)LFxy@LdNAgxPF-onHn;Ck^jdFaF2m(0DtAXrp+5-YN4yay{-Y4rL=nMgOTF0
zm6*3Q_oIr_l?%fjyAsy2bzlRez{eViwXUwP=swE51!4*z7PJ27j&XH9h9yUg*U4j9
zcb$=`Ohf8~fHzlSZ>}-044O**D7QB(Hbd)DekdCs5iU#PZhXs4XBA&HG|6Rd?kSGW
z5_{r=^uJCPnb-LIKb(g9`bBQPzDBqkv!TCr_gw9oX?;58pJbq{tc*rGe7V^1oZEfN
z1fdOHm4Lh6?`&{iKXh8?Dkv)2I99}?K-w=PyP1V75cWW~E3^Xu!MpBz71txDlKVH7
zq(wyBOXIZ~)O8t98)?HDLmmllwtzRM51dQ~b8*<RZNvb}nr;UStt1P(Z$Z8Hrs6&A
zN9|q<gcOR-xVY}`V>Ippl>HA;xN-E;n-1dl+Ujfyf)nOZkqO1=DvViq?lQ0GDM~Ox
zv}(MPoa?(%TU!7)dz1t|(v9mgesr86OKc{hl^sG73fqXI`;7Gs(%&;EKQ@sm$;1LG
z=HBV+0m`<OtS3c>QvNh6C5U&K=@vCc#gN+y6Zt;Crm!hL8uKGz?OW=Qhd81&pB7y_
z66EB|$>rR`(Tn%=`$lD^a%+I)FXx&9FZ-%bG;{V2zMOqDMwtv!f3}Dv$+%2p3=O9r
zoQUG!cu1q8p$M~c4is>j*LCiZgmNG+H}{T!V|vFNQ2KWlyucMaQu@==7;GO{9UGzm
zk7a*0SX!+!k5>#%Js?J(Cnnfdwj<n!aU8dL;3c)SC2j!xHnHXcNiaPOsA)i=Q%Dxv
z>ExfR!<ttkWUve%z27}mb#?Ew+z*dyX?uI(Z-0UW#Srh;gzUDmDW;pj4d-9qv?R&P
zwlbpom~Am*ay2bd_L@JNW8dRw8E<i#x7|>m*#;ZA9(jCU<0Wn-35V*avLJ)|@!R52
z=T<~kpFfS~s80PFt3@sI{HE*t?Mw<bBNKuplGogARkER``FsPG{1-nbDBOy;FB|Ig
znWvzb;pxMlcV%jS`m>NnTFcV$R7!I=b0$xx(UAJ*YAT4|Gm2FmB?$*k#7X?e#rrmH
z>1$!@sSmvMCm<d~)St(3#+P&eb0D_03~UO3EB|_*0<*tfzo*{_!#)zf$8$gZ@(LGx
z)+5zUS-H8OTb@utPZ7K><K`1U^!ahb^TJe*c<$&`JI=wa3~%%R9*ViJYUcNJGf9Xk
z_&G;LUEqCSjo^q|ie@#^`2WNIBPn@#c_~Fact(Hb2l*u_=|ti_su~}kV0vfPA9uUE
zBiy}CAyzSJp`3?^@<f-%8PRtA_(%K#K?M77Gz4N<WmPqv>jKGOiYtr3lNCxr{iIsk
zex<F5j#e$tF(PuXmCa&lztHDGaG}#Oq*j=*Qb(3f#nw%#STHTQrZsZt+4rHrhmZ>d
zq9S<S1S%_K-EaSprrf6JhD<7kadVzLZ&ND--dS+@3Lq%`EOJYdoIS~myJX(s$G2RU
z?O#<YWZ+9II3pIJcPX*ctX$hvt72^J{L#UA952j;bH0xmQ~~Cr(VRbu9~f-AUJ~`(
zU%s78&JSudgkFVsu8hpg`Q^MK?4|~**Jx7f6{wSHnAq6Vi85N3Kw#)qv<-1-t8b{n
zNTXyc>5YrEc?!xlHH{4;*xEB`nEjdr79vgLX}|bB97$!j%&jaK=o>VWbNn)A!Fo4W
zz9iig8A1P(&a#FvFxEMDYVpI=`)S-tjdJZ9vYe8fbB-Z3W+9lm&t`*O`KG^rr(-&t
zsh4(<)Q0kc8QF~JA+<yiou^9WBUSe_32@sKtytiYkuq0M=Q#Cs5f`>x^x{Z6Dm8!F
zR<d;X8)oN1Csy<H*Y0kylO#iIg7{F0TQ{^~b2d8cG!4(x)HIRbuHo-i2b3}k-Kk)6
zW@ct~A_BI!$s(AO<jMsg#I&@uK;kMk=F=Ohw%|gTB~+O7;)kGC@$`z#)f1O@+@qj2
zzus&_T4C~&=;FYPl0edQno(O2w-jpqabo+cbPRJ|F5{KZMAY{L1rnY?p!?bwOx@b*
zMeRQ2e45TqQs6)+s{c|>c0h>B)cmBBq&<nHlZZqbx4dIx%pHfM>>}wP^~Ikihb`Q)
z(h4s?CAJ{u<E0ySXk;VP7z9{mp-syE&a%xpF|+UQ;358n(L_lAhHvjMGBH6<Zy&LS
z?j{V?!D{p{nn*s(5B>qN0M~D72i~H%@s86Ns7%*YO=x4IivozKr`ke#ZFtQgPAJ`K
zSG_MrE;!Ac|4n+Pz(>l0*QN=rMj?{4eQ*2AidYwM%P(~V;8RC&st}RU8<|{%!YV}C
zW;1(Wj+3^1jI5Y;_L8ygEgCN1FBXzG*@CCP5GWQiEJd3y(nXj#EtVuXB3Ug3bydG9
zaL+k%Bcv_jn^!1#%x{?uL6mb$tHkvJ-4L|Glf$7#Hm#Ch@-@UnM1QeXQt*~lS`8I~
zB>fBV5T5M*DUIwM5Ga6wQOSueT!Ci$HCORlAU}k0x~kp+%3DIwK{nX)c@2ZWOhnaG
zsfns5lE(3+gNjOiS|NUMIwp&TFwO8?i?bGx_}{WK8FD}Y4)!Z_KqI<>G<%omq?EXh
zDJkEu72TJW4d<WU<>(S1L{fJenP#?|zE1R~YbOcG$gZl&&Sqd|e?-*kd-5GltAW}h
zv8fx>MaTgI0|VH_2DYw-^r!mz6TsVLJxV<RkM7*rB`h-5y3~1gK(sQ|5=C60q@2b>
zAh<|Z%7pYN@B2C_suPGdvQo_{+>3&!RPH6CNp${=G~7Pp(!>#-L|n33?&WLtvdU%G
zD@SFBc+kN_L>T$Y)ylYklKzAQfw(42rJ)9mtKX>XF#=IEQNY^^y0!#vZEe{dQ~!ta
zqG*@aGi^Hh$Jm7v@Jk_qr3CK^_)JgtItZU3ww?(Cbpi#!V5VZ?A^APHw(YL>;xB_k
zLJ|`bjf>wEu9UFAyU1f=GcECGtoih!S9_Ftegp+_XUaReUe&u<+0p)rk@?)hCII*8
zeqAab9wR1_7@4?qb99bb`P{-nTwH2Y^6yIR0+dOD8CQI0tI>#pKAI@CJ78c7zHKsT
zg6=nJ8zk+$hElNkoF4C$mao7vnHsy_u?1&RQ`s`RX;xWVT^;ZCiqQQa$w_>u`rbQK
zQt@u&R%oYECS&|1t$aV497$SbWVEX%m#Yxx=eIO``Ck^C@yPiU(9!E|Bo}}YMHoX_
zzCY;o=EBL!x0BkF&hfk0Cm9LkHm6YwEU=fKpTKNhCYWTW>~Cn_74(%yv2*$@O%P)+
z%vT1hM;13#I0h@|27N8Wiodt6JYg1si1Om-5+T-Qgp_3nR@TRUQrb<B3uz1qnT)|{
z_pXE%Qzf7Gg*TFNT*u0gq;FqfFYnnuCY)L%_OlOu+dG=+aM->tqOLXkGuXr7F5Wxy
zal_wCFP!_YZ5T46=nvl}oTg<Yd>dBy8V6@6b;Q?#$_Z^%Rh}QkO}Eb^X!zM%`Amxx
zN680qY<k)T20j2d?)!?x-~ZnMzxsk#eQ=N@q}5rE9s$#n{~W-2u_vJabrnnaV2^!r
zHJ};T&+>@#Nyys*vn_(Juez8>OJg9bd%9n_(iA7uI_Prtt2jy4Gn>z#D?~9}+bMU+
z@6{cd^go1__Z&EmN1hfOfhzG`p!?uG)-f&Uk~_KKhNJ+p?{9~}iQ^aBOp8L@YVhqB
zUB7S+HX6JXTUzW84aO^t0I*)ga;h5`JVMQ4!k?ak2e-sJ0Hg_+$l474in+Ntk`P*U
zcDrxUjNlNE>q@=SKwx&}eZ|2!%z*B(KV2^q=xsE23Z+zdxF@1%jWpDFiLPEe=SvY*
z1tu)8-N8WVWN>@Ib%Hsm3cP*0t0RA)H_&w>RxYEkdOiU>Ng;t(uU*50lBwwE90A&^
zKU~hU1G`@|qe@^lXdB>n_5fcyK~M|K<%6uUTMvqM*U6{<H%33EIl!-|<?xT%+cWYK
z>YbCG-rh(By2eFy7*yq$8bJC0B8zcb=>0S>eiT84^u8I^4R(#7>7oSeryeL8H73Lf
zpD^`Zuo`x7Z5M#|Bz3pj`#!iwbTudqJIL<uO`rXjEFCCpk@^=J75ZI{lieob1zjvP
z7E)mZUAO4bYBu`g$=?MrgJ;vPQRx<=FjVjq2Cf03fN2n^-EnII;H`k3it$>vaB}`a
zOdt$Wpa72>u!LmBBe7tf>rUh^g5FAu{cpvUqw9acpW+7j2<DY|nRcu2{BObS%V8}O
zjEVGh-%O(jyLa0^Kt(48ja7PNJ3v%a!kjTI8QBh$6`6~oVrMWh^Q!9+431=GVk&u4
z!om(o0t5{$Fl0h6KqcJVB8nBTXl?Xx0Ur$Wgu0Ui{($98`rN6_vhle_&%Jekm1d{x
z&VtDx72^d^XZfDpJe;I+CCm{5&!>CM=(eq<|KNfP%|>s;a}aoYuu-;y>$=T|Gp<7t
zRn&MQxZt(ip94RQ17Qn(Vhi5ddfBNU8MOhB0ychDL+24|vJxShg@if{?$E-#`+K*;
zcTHg4)KpUoXx;?pTX(V$f35Xda}Cavb5sEb`yxHtt*-073g6s`4-0QB>q&)@-j|Im
zTmkY6f-@dI){qzo2@Y#2rAh`=7nIGvk`rVO=9)hX-FDX2!Y9!9eRx<bF}cI(J6U3S
z4IisL@c*=zP@4UBk;oV@PD-L%vT00EDx4m=F_BmCO|x2@vfsadFCD@V?C$RV`3Z**
zzY;1!=2alfor&xG6&|OM@}$rECbSX&$bc{ngV^_>VNh2~Yss-1g%);R`~f+PS8-+1
zscEPWWBdyy+yt2e5D~b6ZO(*{M$}Bo%)*jyAFe8B<2Py(934ebDI@Ei?xSEU|D&%l
z>qjm3b!wrz6Fa89eM>ZHFwZdB#}{N0uek?cSq^SB>dShB9b!kP@D4DHB%0=X{mr+c
zbiXAfB~ksxegE8|O%`7l{y<&{w|`TDvW|5PASl*CxLPHu$T3hK8$;QQkQESZs)e>P
zX?Yu)g2ENQd!eM9h%rZ?%5L?*z%LJ{W_G!C7@Z%O4djpX5nO(wded9N=L%D$F_&P>
zXhh$Wv+Kc8l5K5mh4*Yz={$4IaN3qxA&VL0j7jNPxY6*WB@llS^?3uFgSpa%b<iY(
z-}9?Is@7}@tizUV!_eBZBPqXFTM9x1^oDtq>9CL>U~&<b7g+{R`4PV8Hu^5%K4=>q
zYp$?hkP$M!`0ky3?+cX(%xn%AGekU`B_&$}@u|CDfT{S)OLKKzdV_Gou)a+Nx~S(+
z5Pbu?nt$LrRP}|T*ajG=C#^}_wwL-Q!Bn}9dy4&S=s1BHqORp8%ma2X0u}QB-eW_T
z1`rEtOCE`R%)kQ!ieZo2%~Vfyz>)$p(LR>z>hE_3yOrHU-3ZSkulf6D=hkE)8EXnJ
z*exBo@F9Fe-Ht`S?itj>@Px4Kf^Y9jK<~pPy&>>M8azrBt@o_Nnv<dKfQd~B0#0V$
z-Y2hc3A=z`cyJHPr3X-XWFLv{9{d4<0@_0Op^lbktNzt1&yMX53pDRa5`g2Px#IJo
z1Q+qxhJP$4FF)yhv_=nO9TGhS_Yu#325|z)MMRpqgT(^chH}Q%*x1-k(w<Xd$6QXH
zhqMZx7pGQmFhV*7%@ULLf1))gO&j3OT`6j8kmk=DI2^Sq!p;qaF1@j0V@!&OC%nN$
zOKSw;I<`S^wQDgS!hnmb>j~@%Vf(43&o3_rEkf_YfA~RZRnT()qcNXAH43_nccV{R
zC>f0HD4N_j<x9O?q8a{%u>Sej5Tn6R<^4;#E-pI&&jZaN-9Voh*`oc~DdJ3(4Pwal
zv7JuUZ~jFLz$YkJCDyMc{{05dzN^<uQ{w;q$N%jngs^s4^{PRhfk+z`1@yg!QwR`*
zwCb`A!6SiHUf6iz5l#E=PT+iv5mo;{kLWr8^njhys><Z@SFLvZ1mgbRncIzv2G7pp
z{?9&+Gxe)yk8FSPWVaGLsph*2@Yujx7uP`?j={e92xLwZE_V#2TUmKImcSFZ`oD9V
z+8)4&{D!Rh)okNwvdbVifyYKiYp^$PWzc4{3|vkwpm4+gsMA_QZbK~Pj@!ic!N4ae
z7Gmhr@Cb4-@4rB4J%b(%j<y;$&Nl3*RtUq;KwX{WM1eeO>I2)75A0kRS^5wK!~0wX
zlj&Ed?2+((jfldOf5*f5aTk6AWM6#9e(nan^q%F=r)ej#JqeRAo^~e0q^8=Hj!1=3
zxWnCOGb;AI`oDOV==7(PpSukv%8XW4hTq{0=G^V}IpMBEi`&9B(I9#qsHExBAkP&~
z0~o5e^8Voxlw);3A;SZBnqUS|R!?snR7>o72Q%P*LI2Kpil_wUPQq$=pOInu{=DyL
zQ8?~jz*Rx!<25eW({q7VzUSm=Vy+t#$1o$)&*=o)R{;GoKw<zpasY4l)6>!Mgp>0*
z+WdEoN!oChhv2$E_=@FhbNZ%o8ehUc250yfyx9&{XmzY|1KMlXmJe95T|YOPu??}_
z&`cBvLy5rkp;hlu&JYY8DwF>gUvC{&)%vXsFH%5KLQ?4vknZkok&;F_lrAYzk&==Y
z5lN*al@dV-X%LVSlx`3dkb1{-@83D+`>yl8{ImC^xYk^2KJ$6TxW^s3lt@(!U0T0j
zpDw#M0FN-`8jv|Z0q*dwe{k;oi0u^ElHrRi>YT@Y)Q-$;fxZCyDjWv{?JFA_)A0X!
zN-+q0tINLdD-a=uOe>!}{jqxpGe#{%Aby)2{3c;i22|ofl*PSYqaI?+f8X=aU4!`&
zY`5T!gdf@@Q0JlJy}eZz>I#IM!9*q%{C3Kfl{tyLC%D0Kav$Kah0q$1*v>zZk#-tp
zt{CT3O9G5i&}kU{BuBf5j<6GUF%le1Pnun$Ntk_#KTBm^1>Wk~-PIp4Jgj+e(1!Lf
z{5>&S{nFtmh^JNCJpU3nS1srKit!m`jyBot;nG5J>Nud$c=daU-r}Wf0zedz7Tk1!
zof&RxvMO^+akWz>ltoQY#$tqreX`-;;W-CNIsh`qEC->#Cmg73foZEK7;@tO+r!);
za(nju`S(Xx%U`{^#=}!@%mwSjpinaabfBJxv3KNQtv+^yq86q%yReZrUPXWYi871N
zwxis<@p|+AaEQ`48!QAxKni_>Pn)8n@fZ=(Uj5a79=%{A;0(XM@ca0erW321070VH
zW3MMKh_u-rWUl#3ew&!cc>N}xR?PETz_Jw3cD~>7KRMh5b}f=}06pyR>i+ICgOV?x
zBM3$0gYZb?Fsnfsy1KIBzx8gp<H=QIyc9Y_4D>5RGS~i{J`al1nSBqW@byIuzY%G-
zd86-yYaMV|dYo(B!SU+s<VcD_PN84zG++;@Il(&`Ozm7}8fsfwq$y&+bB{scp=OTc
zyP6t7BZd(3?|0IX9yb2{!ol(5V#rU4^q8*qu=L%$chkjXU4)eW?}`cbTWPow^NG11
z!?duIC9#<PrSO+48+YC{S$JqaJO=Xvpd8-;aV(H$#ARfjN5O_G0G|aoGqkfuh-L=P
zX(2dt5NRV25g16EGJT-~l>y=K-cldXaCVP^JKwLvaslODjELK0iYoIJa03OW>t8E(
z;E4JbdVUIzz(!`@3^1UZ0`?HG*6Z>HXDA%S0`x^K-d{Qd3RD$re80}6-zA+caRd#T
z6HSN(n2!Ufm7g<k23yMBR^#>=1>@iSIcz)DTf9%KK1+GvX}6-{!W`?VgxczRB!~i}
z5xQizVGsyoxhQ}c>R}rJ;cA`Aa%N^GoabLRf5Sm<f0>Cik*fy)RS<&ez*dBS)QA%d
zk@YR$TS%F*YG=O<KKcm-vNRlls&ntf#8l^Wgm1on8pWTHGaEvZ`0AA+v)b_P1a!CX
zBYQQyP))Jz@}}qVE&80-;=U6s?Osd092^|0-$H(k8l|PA2nq@LcpwSKV#@|a+MA!h
zHTD7~0^1pMeQRduI*M=vS-uYeMh&!f6BTTbenYbPt+~-dB=XxK;nJH4CHjd6`%-o^
zI&ak@qgb^v_rXxdyBP*aA#>puS`vx>KBaSwj1rJKVnof=V-+jFU?dO)!%X_T^5zwD
zOu6FH(v8H{?f+RkpH?3~prNMzL(u_P)6&56*{@&yPYQI|ztjiGd+h%XeF^ON4I&sg
zRZVT0^8~#tC|Gpq93^5>iD%9O^;OBM$(Qjn&~<Ao!dkc7@7M^chJ1#^fB5jNX;9nc
zv9l_v*=kC=UuiK&5nBd`fX((cQ7R7?m*m;-ZruN;x@J8lR?yJs0leGx&DRL5iy@#8
zHM)7T;nsCMG9o&0LEs>3jr_Tzvr+(v2$bi?3cmML$9s|o4|nH*Q2y!_Fp>10@E-yx
zfg#Uz_n$K=?94V6I@-CY#JCHud-yp@%m}Yu{^V<t$f>fp=Di6q5Nw*A@gBXtArLgY
z-LPJs9h-xAl>MW1*ji7+_1d0|hBrhc^}io&Wc$K9CXB3R3%gBbL7xjN$X90$AjE1m
z7DUp5LGcfpK6rUyc^OEghh0ODoQWE|`#x*IWQ?8_OOKkb>g`)mv*Oq1%5l_6iqOMK
zO=^wwUMZTH0c+)5D6&8dQRZPw7i!^u(>E82lPj<hdu&h14hA)A{dFqf2?(e<LZm_<
zq#Au~bPmrkY%7WE(Xfq<TLhI^Q$iz_#cSOrdjU{v_?e}PpvR};XQsrj6G&Z<G!4?F
z=1Yp&h=v*258p;Fp+P`P5lI~=pkPe1<+D-6EhTOVCl3+0-oX}73j<)-s@B)zZ&y!5
zu|HM+<v7s4D*TW3!UvrCEd6i}8zRFA=V<PNAcxDmA%*X^<@qm5;FH5@DJ?GkTJ10Z
z-4Sv+hsT4k7=Bt@Fy+{<U%w(?-wWW<1#?dmC#O~T9hErhr|s|n!!%UVX*ge#RUq{2
z#Fasu5!&5xWbzUGtO;@Z2bsDszAX%spp~H5uB$t54aYc`4Lyfndv90jy7>qAfmg0#
zkdzs}`2pIx-a4Razw=s#v+7{```qh$A^`6p*&@f=Aa&mkeePvpX^EVqP>KaXrOZ}(
z@b@yIe#&DHl+2N(Pe@B!z9ZW5n85-pE|QXxkaVWBG@W!_YtXQOZH+rzKd?IQ&r8U_
zx-hc5=L7gTEa$zwJvPnsJ8(E)qlY7XJ&3(5TU_qJmapiIi1?|6)<8}F4#XO>{__Nk
znb2QCyO5&E3WGJ}Cs(Ab+ah7)2I`Jukh31L=3H**+2!+mW4y7LW+@Fo2R$)Tu2e|~
zVt>Ak=tys;5m^0m?WlJ`FyVM2b0*s8;=lc^8GwI8M~{flpw>7&?7#W?7q}FdHTrHM
zxB)!Wu=T&4*@7Jz&Mc7k8p3vUniLL&;P}ME5h9j`Zy8Du=DZC*%sh6)dn5e9731bW
zA9M3(v)fQsbwI_uesKK$h04S0u~+^2!AcX5r1wXC9-!Jeft%(l1WrPlnS!fO(oLjQ
zah)St*44r+Ptw);@`i@M-gG`iL2yd|%oX4JA0!WT$8>%E(x3MrbOq#sP9`MyphGE!
z;&!!P{S<d}UZE58;$2so|5;Zk)ag(srnFgk?lA-Grf#o|Dp>Qt^b>|t@W!z;BH;I)
zOZHE@hLSypN_Bujl2+3Hj!_Sg`d_XG!fgbZo04L<>>Lmnne&k4@h%GStA`(?2SHxE
zGDztFYVAuyV3crA?r>ZR6akWqYm=A$8fL&R-a~#bt3c)DP<iS`-k*)cFcazLPojob
zz2Bq%+h~MIv+aN#iee2gFgJRj!vw$ySO8j?Uq)f;Al3^B2?@3R_jg4%kqhmwkvW{Z
zpQ!qgHx_`Tw5W%`9}GU+DVK&;j)R2!^5tbl?Z1}^;HN1xMu2fG$G(C6V|jV`IJgDG
z`j>_fUGdgEz^G&u0Z-9BfBBzx=!18Vfoc>E1J<6Z^7S{yu~7(v7OW9{eR%QbK>^5;
z7sgAy^dBw&Xd@-r!vE8i^yf>z-vcW1bGUJEaYgHYAn>9eD&s99Si^|snRp0BGDEYJ
ze-A4d=LW@kNe}X6=fj}^0HT5->=8&1190m9eukX~2*iWP5D||DFyFW!o?5{R)d)Zi
zpw1Eq+85oon05FU(wwV7x&~EdPf&GIkdqU5a}_cDmC?X!4RUIvU5AnX`?XiE6IzL)
zLRfY(3n7-^J4jYlpj_q8ILRA5L}0~G<$o?tlqDZb3_$@vZQJWy8z^~2kL-dt`{C9~
z5c)YZ3NtWM0)n^Y1SziM-)jx7Uv2m{I7l3)JVj$Okt&-3wNXiBB`+}!ZwI!p<e~e@
zJfA1D8adG93nQgAbaq+$pFF7%feT>d-Jf`40g_QTrjejF5dN@9wnrNwGv-)F7X#HQ
z{4D#vwc_=Mj|M4-re$NGH-RRPEm4(rmiy9U-VW`<nGXaa)2)<9_C=#eX5kTx(r?4w
z2pcfK#x*tjKYMsA>s(E)J!Q=MUx4F{se|p=bCA9n85%xKOEcq2ZE9-bFepT7_ILMw
zkKDTIFb7UWfHJgy_lLKDLWQ%()4lzldoOAz2$wik%h|g|ymvPGQI#R94fwLewhR^H
zF7;Dh{A19az(EFfcBMDh;kX8doGmElp{l!i<Hr7S-DAZcfD?Rx$4@~Kpc1%1U#J9N
z(>VtMtL5EK<RH9xRa)8vyM#s1X00M4pUW86``PFB=79%WEyHD6;|L>k-^OP6przIQ
zfL%?(+CwTp*NLB?2K}{H!tffJNLblXh&52-_lGo|)c-uGttB4?`{LsXm3y!M3A~k*
z?s~ht&X%M?B;_^c8Q3g<NnJZj+ASnl;p8NkaT3-jOy{9a9(g{62!ihce*^$<1RpLj
zD6*$%|GsmPr)kc&@$t(4S{1)-hoaaYYG|Eo(Kjyrp#ZNzC5_y+3II{cgXBZ^@8aHb
za9|^WL>}&<4}X^jD%%FUx0i3(-}KGfS0~v}^loF>y0-&O5+Wjq&MO7we^xW;5PWE8
zbDb%bpL;aIkqwVKUPL9tIBaFq0noC@6KbNbKb)0?l(~Ot#pK8TlU95$o}giU9zR%5
zZwO8)y~qDN3EEy0y(U&{<-!9|e3!h<2fB^n;1DM1%Md71(T5V@-}3g?W*y{CV3U}`
z-GZ;gBDBrG&<Adcgx{8{i;G6lh$2{rML8a9&78jD_FlC`m+@Kqf+XPp20{rAk?t7(
zuB8WdM9~6=X_{esx9C{?=33F#>NcBV=y9OLyr(?}%Tz}Zx%N<-DWLuX-vR8RpS&l-
zd+^80VP&|JWgi3>X;Yg3yWK5MjrjN5i*^;JvDI9@w!E}!Bp~_eu>@^=b}T?NkBciS
zcMdh!TsI1UR<9^+IUse?JU%?k59K@1y@6E?Cp)-9DvbN|16Dx??a$b<gn}Qmpg?gu
zLu8>sLgr8nKrt`eM|$!cu~&mkm1k@?5##HNcC3Bcf8J-sYPsk4_QRI&+CE4|?3p$r
zXcapx#arIE^z7{(nf{ImyZ%>8n?DeaSU6C`Xg!xcMGWqEt>IPru8X%$2f6>ci+c(X
z!(-LdMQ9xn8M=FY<J-5!N!r2n;5%5ejrPy?mpu)mNz%uPBQFwOI8l6HNK%XyEVuV>
zvs~)}@hj`MQ@{|}8DEu`Zw<L;+Jhzfla6wyb1PosTeqf9^`G=Z34q+xdbg?HPtk()
z=xR0ypbGg*0X*g0#%&({v=ll3!x>Nxw$e?8^_k#dJAG>l2PdLAq0HGj9<`x?%F
z*|uMnevm0(>j@ZhaKruR%M^mQn_2&Q+bsTxGl(#tS_Se@BMgihCqc>ab)GW}COOC>
z9|~QyG)zCBCOObRN66~`e~j3<4o_-99Xa9t2O2o{rGWi2RFLz#{vjb;jf+$E)d7-M
zl=M7BKLhs623-?8G5ybF&Jis;J3D<Ie3LVGJL!^`=`7bn0Fgwzfe;@O*gFWWN@qs_
zQsWCKl3Cf9>(j$h06oDNEe=SH!+?3hvGjnmqKSX%3gIKf^9*S;*LxyhXI@)dgVOVN
zvA;;b&jr9?Z6G%TC})7YTp|H$ZN&BlKDt<N@Cr;~U}`tr@z0ZX=arZEvv;Q4=SoO{
z3H#+g1tvHwOmy4*gfCqJ+EJv@MreRi;<IqbLTyuCQbGmuStzDp3j0sN336k&vf<`s
zP{xqsV*|-$2eF`e`}S>VDHkQau%KXip%{RS<(MH*g94qP8E9`7u%z1B<U77XiOmP)
z*Z+&&g^WIwWfDfzum0<vfoiSy08kErWOPD)lD?mP@3)QMrUx^A9+Nd3jZw{ypkPKI
zQaHFn-h(~U(55evD1`vwST7t{SMG>@1JwGmW$;~qc3!>OnrR#t>;vkUH*^;Oz^$%9
z4pLJQlsSk!1DF@XRt|rXEhVD;e^*AAcL#Ujc8FbFq14v@-)DtLne^U%j-cHi);v^U
zQjUZ4$LF@&+P0fbaMV@QK5`J>yR+<K+35=&x~!&?WH>2HmMl?&tg=p&8fK5t$saHp
za$kGEE=wsrSZw1wDoCdOIYrShO5HSyo;|>cioY{{{;S_lx_+s>9nB!)?ME2yYY7RW
z?!7xF3q)hm$6M9ErBqVKs}C$BZ~)G{cTxZ&6~q<I;Q5~~)$zQb+XKsd*1!Mh?am3m
z5C$@2#P1BYx$)i9&NR*R>}<p#=&N&W$f8lmB8(QspBu*h=ieaz^ki6~oBU8v%ku1J
z8bW){-h<Wg6Wr~-;zD2O4=!97C>Z3fSI0qe!GFJ<WguHdt0f#2hzG^bqZ0%ihKJ$&
zljX@L(qqKK4Rr_Zugq(dKt^&>q0{S8n54tcwzs%WlOEH5zf?#|_5#J9-BV0xiGE$Q
z*ok0U_kv~!9T^blY;p5vB-@rr!HA*=5{AA86Qiu0Wo%s`3)a)~63NwB0WAZUvJ`#w
zfXp9#|9x>qi_D~l01=~5Ky-^PS}}M%ipm{zel~4p$Ite`Gzf56Ui^T0xyLt|oNWT<
zWt~kj3)M@Gjsj3CzXE~u)c&2Agk;DxChC*T8~qZ<$h5Bp)^p96e3W_tzmU+=o<;40
z-v9pQc^Z>p%Wr2m5mgH1S4%>L5wlsc@gxWQiRFuZ1LJYuMmoqxJnE7y)|I`+uv@m}
z_LDstW##2nJ+(>E#`1#ck(@dgy3UKn(JrP$rTC~{c2wbHUeug-YVLG^P7T)c2eHs9
zzpHV|ef9!smlVCt0r!L%duPROhyT8cYVV{8p8|a+K`?!!fr#_&KZrLIiWk78q!+hC
zND7>&J9oh&=KbursXzzbgSP4EX&v()+9Ne1tBQIlg(YK?2d5C2#!faY=q8-i{(aDN
zYWv{$RNACHN`nR?7Y+NS+92(SdR4>Fiwl45b>e$DHG)jIgxf*6v`dXC%taZm8Mk&V
z%i6H)n2dS>!{VvE_l^}*ijq=N&jywu@qGTJR?-4=h|Lx}l(c9lbY?4><REZcfzNnr
z{9YB6iOWlNMn-U>?tC)_vi|RPiffm$FUaX$Ppe+G{I4~;^fp<O=z7ym8`7gf#t(wg
zC;xf}MH^}k@M-bxL4KJ>QK}qDiu&puXGMxX4sZPdA1g;ey!M1B=iN(;rjghEQq$@o
zI~nAP1AE{Bwwqr+yG`_{T~G@WlH-)~?sYjPUvehq!=CQB$Ph_<G;~QtzeJtGNXsmT
z4!iIPitnPlMSR9(5>GlNYP-y-gjW23H$+eKoYZJ^N(wQv@<uL?Hm%+q?Fjx^jMm@E
zTNyCIz0R#%XkF*0+<ED-8L5L;zxjCW7`p7sA)JN_F}afJHs0iKvHcqYn5Tb0jR=sV
z5AE{q`#g(^aWI3et9#h~g70AzaiZ7t0x-sJ3b2|klc)^^D=2&WLW>F+qvsa?Yy$8=
zA7%I^;hunZUMBMW0ASP%3|WAJetjeav!=_4M-N6Tl7Q$yZnd-=ssC!o5yt$y_)j6!
zW!wkSoJwv`$0^6e#He$qV^c3gnsTq$D|v|LlBUu`T{C#;F8ECNN{>dhm>1Z>l;5}p
zG<1z5#R{2({7GX0E5nCqrhN%vxy9q`*4z$b)z(iB*cMiBMx$4ixy^4|H8yFpQ&JB6
zCS78cq_@Luh^I1{d#HxVwW2&B$muLli6N&J`vK$VvRBs4FWB`QyiQ>lsHDD(e#M3q
z{sA;YK{XHVwaQob#d$Vwt|e*T68M?%I6!-axl+o7<Hv)jMKc$b_Y%}dav_ZefohT+
zFQsGIXmPT}6fMgI6n%{LXUWRDUmtVEb02ca($%+&kDXDIkZ5UYW-sZ8{MUwbf-lP`
z{`l&MsSLbM5a6e4zy1Wx9)B}x`auprh^eu$KUCF7*N^Oe$X6Qmx0Z(vR3~6?APy$-
zFfSrPArlP*1N4666>Z`I!s7ZVy0mL|Xo~<rUH?_|wc4$0(_4I=<!*=Z->4a%nUMFh
z&b8EW4;|?+UCcFW^_fzQ<~~ZwXy4~_rVF>R*zxgD=N@2vf;RD@_!0^oWy|U5xA5iK
z;6*;lr~UGZY?6gSiF&=v6udTKpCr{9^2U1Xd+OUUPr{464<mn|q4NzBvb1$X)Y#5P
zxG#FE@KRT`rB=V>E@Wn*@Hg>LlH_r{Mqk^C<v9MZWmSMbt3N);X>7!BHlETcju3^b
zk3+nB@?!3Ygl9{i=wg=e%x0oYA1brNK+DLhfhI;ix6#14mZMPKf)$0n5e2^HBtu1*
zl+||K?DzFwR;J?Bc_iGe!m$fulI^-E8>vdmHy8L}^;dU0@QlE;tyDGS-vzw%?f|ju
zLfnGDV)6X9`F7xV3Eex33gEy2<-r?Tgd*qO=AZ*<m@>d^ISBb>6#A>%G^fu|=AyPI
zmIcmT=!0AK3wU7Qy@D9`>~_Lb1QK%M51@V=NQ1vJAhlmwRZFr9rVkE|hfNP+C=ZDi
z{p;ayWmdD=lfy>IGJMZ%@q-{5Sl)03Oo0@5Q#AfDJ5B^Wj`B;rmqUZ5$ETf?{C1@-
zn{uI9d=I?{U#3<}hC7jaJJ7Fl3@rPw$qfi85MqB&E}hF@$i>yHD6Ye9!bfogmJ{5Q
zkXP_AcA+0nx$!GgYo5R%{JzYKo9HuMuIZJi1v1mJ0Nx)3B(VEqa$)g!NaPUG>9=)6
zN?M=k-uS#~|MB8I6I(l}=;($IgThC#a%f$buH>(z?H8hY)HqVqzc5)0ew31+h8lS@
z;l7O>76+#OnA|YlGw$N-4>vUeIq{xdsZgcye65`K<7;ugnM(7$*jR`5B=<{tN^ZW{
z83~IQnoJGXaW9hHMSG>F7qOL)CPt|+`R0wr8x1~m6Fa3*OgnSF-Q0|>H)NSwE}IJr
z3x{{Rz0M23edV7mTDu>ri1AHdutu%d*3o&sWgH@x9sIZyzy`$j7<sCsk0%B??w%Z`
z<)?%mJ_<cVET}ltr*CV&gE1{szq@_Q`0QAkXn_XDJ&T?&F07xLSNF)?^KIPpCR{Wz
zUB)2NFY_sVQ{5o+@rTqiLfc+S1#21<*9$cJbOpuXSX%YCI9dT+$+U=8?}^GLEQLsP
zrO1%+5~n2!P0k7l!{}QQRrJ_Rc-et@*j@K%sFxgxaTauwM5M4Mb9*zc57Uy6X`1cc
z8W@XdFxPtW)Rj}|J!g^rK3WF-)4WHj4B~C9_;UBZUb$*#h1M!^U(12PF5r_SV@<1a
zUVgemI0JFQQ1AMVdh9#e-+P4;&!yKgUdT<P3b^$5CuY<ARF|vAS7&BY#Xw=)mqkT}
z4J$`u(fBg*D%`hvD_e=7$6`fZTes?}lJ{ydT~`A$HW4fG)l4wGzn+o@rByr?g&Vu7
z&!-#Tyzv^i<*3lxZ)uC$%XPc{3h2ud4e}pPdjJ0W2Bn^^>(y_RH^IjM^~JdsP+L2v
z;Qu^e%WVi}tfs~rm;u@4m}h<=%YLA+&iV7Z2GW0Cb@;ryg+LdliBEzTBxaBL!OwAc
z(|7Oa1SY5!e}>b}7*FFvuGdU$Ld;iVz@U;s>mO6rkKCTs!G~Y@o`ZLHcDWfDhZlL*
zE8P2bd|2c!yn9vYweGvcsOb+SkmD!~)rhVp7AMq3#-a#3AMo3d-t1*Gu9A&4Lw^#h
z7}t@%qLOEPqc5=G8V4VJRC>ODTREB59*#uX{k!bSRbeREq)U$&2_h2IqN$9Z<V8<T
zr$~Hm5GzT=`ozFl-r&G0X*9_FysgRo;xOMIDZUpOq(Ako{?Iuz<djmf26@`hUn6hs
zF5QZG9C;KlLa-5*_@;}z;bA~jX=zsE*A%a4F$d)XQQ;i*%LQ@d4O)C=<DKcF5oD-X
zkwXkw6>YQDk_AV20!zt$u`c744%5>{d(|y}#S|sibdeTI$<ye<K|=)^lM64VP%kZO
zzJDc>I^7&j_a$l3sWuA5WT89vAnyx>LG+Q>%xcV^C?h|W19oo-PjT|2s>#Zk)W{n0
z{%HYfKx8Y7xpK-qO#gGwIAT4hsh^AelH@T96l<0SJI7~R#M*BR?x-1-+-Lx%K9bJq
zAai4Bfq3ZiXLXNXBx<XvzsUBuNSI=9RITJla~-g;S(pq5nNW;YS)OKA$G2-2CkLw)
zFz@`bTDdHQHyaC*8w$s^q}4mT6mM-TdLvSvQiic8<G*$W@@+0BYglqckfV>)g&YEM
zag=Nq4rTpa6QVue!Gt~1njiX6RtEcFQDIa|^pvO%t$10AO^)fk85Y`pXpS=yOxALG
zB1K6BrVVSd>fqU(=k@VDDjeS{%)2KeOEYb}*_>lf@GX;xd~USq^P3uCqpYlC;tF~`
zu6F6kmAAD0$h?fEtLqnjXPORVXdAkbY1Z>NzuwAm8<N939BPn~HR~75-sB)EZ2zQn
z5Sz0jilP0v+Pe25VSdDL$~*kxLXnUr8zNPTa7I0EcD)sx;c&Y0#>UPEY=1oS)-^Fu
z=)A**&0<fv+#4JmQzBi5rk01~yYTSLV@hQg_=Ro@2jrQ#`R>p+&P80*W_N%7Zx1B4
zNgdZQHkQh_<R1ejz}3}|CM&4?^hl{KBrvUa;FX{j_)&ase}woQl$V!Zvo+P#&al)P
zXB~d3)@*7>bG!M09aRR|y;(y05vEaZAAa);wX0sPf<G4PviV!lbnnLwCX<=TDhGC{
zOIcvaev(w~sAj7CJT7(ll2bcwbCpDchuP1rx`oz!)0~?z;j2W7hWgY$<yADP$s+XS
zIFhuC2Pp)yFFkPY%y`U)LZN@rq+Y=6>fTqRL*doE9%Mn`;xZWY5-DMYUvsW5zsbUm
zDUs8t&>g?PU_BDG_)d!{)k91`N{=+9a0OS_u(pn~sXq0}9{uNaZL14dGnv|Hl2Qr6
z*H_C*yl?ZHvsz(TT-o_t^?rb!&5oO|dSlc4*KhCajEB{yLvuz~y#{D@)`EivtC`~X
zZ5}9W?FHKKTca^O$S2*my@^6O*)sA%S%___pOh!FP{2^ZydwNb^O4TJQZpxOre{c(
zdRt*^jlAC{u@U|cswz!UD0D&eCAW$^ksfDG>kkPL<piuFPvx7&+)8JFP{5XL_MbjA
zTUoINa1F4xKKlA%Ye?l-h49xCT4x^VI?tUKK)CR2oH01|9h>9{{(kZO>C}7k3OKoD
z0N1&CI&@VEd_mZ}UyrXx`5*3lhbh%I;>7>)W8^XzB>H`GklxE+iw7#y(O7+pkGp&S
zUK5a5-!DsTQ^hIkP_$a{B4amX!tpl+od*a#$oLPcd;doWJw)+iK>-WuEy%8RI}x|(
zY~C*;k2jtA4<3U9OiUCwAs;-cmjqVW)x*{ci1jfHe&3awy&eUIUlO$Op{FGZr?H|~
zoI4rI>3oGlj$GW_K8-WGN<UC2MaNo|_Ns5MR{A2Gn5YQtTVG)gl9Kw=if5FIlkxGk
z6=IE)RmCZJoJXbosVa}{R28VAIE*q<E@f5?@@3~>XeHr{^H-B^iyDM9H1{W0`lqfl
zwW~4dc4=^KWuVBa&@o0xe+AZD=kRoMP2lt<QJefykAcy|;=uNW4^wq$d<Fe$dAe(i
z6LWj%T8#5Yyz)4~XiO=LCaX#E859Z|8^z^`PH0sSw^ukt>O=T2+$nk@$?2l{TQyuo
zt%}QTQ|Ke~<X#W7?orcMvy9y6)fkjv3b=Dk%JYj1k6eYl@NwxRd2%@wfgP-m<E9)D
zIuvEptD4=dm7KtahVNUBF-`-71##vyCS-hnXf;)|oz|B$$8&4gafrLs^(hWzZ|Lt6
zc=qQPO@@f?Y(ypMtrSY~vQs2I(%&DSp3xFZ%S)@w%@<}HS>&iqw;Ei28i~cgqulg0
zVXvGDo!?r%ad*yoU<%lo%K=5ddeZ-0Y-lJ)upJJ0@3Vg=2mj^OGO=(zJd^n@YZN#c
z+}O;G&09GL***ZbN?}xbW+q~9h<N?B6Nm&K0hzx(^tc}3ZbqIVWfKHY`=MF^Z=>x*
zlz&qY$__9B;;ZZb9Ew!n)A;-NjP5nTEP)rl9dTGi%H<<cjgJ-O<rZMV4Xg~C*tqS@
zK<Hm!;kE#kYZu}TIyN@AP#Y7~%S2~$L@j?tE8>-3B7M!Mv(HI2V%91Ux0%s@P|^&W
zRtw~1+^0{^%7VGe9@GcmYKd5;&V$SS2~r-!J{0H9F+`u;KJb9B12A$uhY9(Uyp?YE
z{9_O%ow<Hv+4H|kdsWQS4hRsUlw>xzU1ay0%!Tr~{h|Y#lid9UJzY2SyUMP&FUfvk
zE_SNrVrQ`8P;bX%P{>Pi@8B9=G!UEl)f;6nnJN%*Lr(<D(ViSbqf7o~LN4P?db?3?
zw`=D3u2;M9)Tt;jyVl2OZF(;<v71_9a#`mTJ;DsLlcL5FbnKzJh)!&<R3Ro|PD4@^
zb@|ecP0rQbJk)Vz`j_4qV{Kh1b{}e>6d4~eVpg^asmm)eqOim8YaH4iHs<PiCNK2f
zj3DG^bz8_{K)=f?o1TY>IS{W;p{h=0+=1%8^uw;9W^D_XPv$vow0{e?Uj&Qw)7-DQ
zR{2FEi;umbQ-kFwdNG_X<(IvhP)woF969FNUZ&i)#1Xt_@!9)*Vc|-Z)VGZ^3s&9{
zOR(Z;hBAZ{54g0@rTSoes9T)QYz+D&73APOTetH4_Vz|j>18dKYv!4{oX}d)()-cx
zjs{{pL#q(Z-juQsVkiA6q45aJsUXmDd1>kMB0po!*0%jWHAF8D2P1G1ov%x$)@Ob=
z|NNNQ<g(`c%6I2laUg1_f7=>3+Zce=SqH7v*@(>Ph{s8X2P#Z|4bhb$hT=fWS_2sQ
zsrusX=`5_zrcF1G<JJq(2|bHZD~KyRAoYkg67lX$PEMYe_6Quwx@lx&`7<dkc#+c*
z5+zV!07@Ugpy>!$0LLFu-yr@2@y|Qi155V8EC4C6P_S|v0I&e<^-iHk^C~P_Y*Z6?
zg(Im7CuJV@TtLbSOd2FWK_|NhcFe!)br-T+&W~q9hm<bUouBU^mcGdK3V^vR43+P$
z7Nkj^zR-?I)|rC`p#wghjMQSI9KQ}=f%_{%WuM|+5Z>da<Y2CJWXXu2D<CHK=_$~i
z{94Vx_DRkqg(9QkLd#ZBZ*A8t8a(}MGW11!l&q2FM(masy$R&F2E0ivb=M%I(8>x|
z8pgeNbGn&Nhs!Ef8pDjAo6uArFN{JI<33Ic)sm)1D`&hGnU^g^3W|$g`KGRO_$Mw|
z-sIIPtg+<eEKl`G%nuKnRJ$-nyj+dPqzLVMCd!BCe)5~%x57;bGZUnsW4@H1h>xOX
z#WmLXLaTnUp}iGf(d0gk=JPO?ULupkaFTo!PItUc76vgIx(W6eI?)E|gEAM7>Z0cJ
z@Y*mYz04b@6Z@4lpBcw{hvwWx9q2PkyiIgBrqGxmq^3qnOg5ItU_^((90+7tsi
zv6bbQ2U=0Ma?bqbRb4DB@o{K4D3>+kNV%Sj&8Un9(_Ichb~*u1j@W<?C=5lEr`E?-
z?E(#KG4$T`c7o-`|8N0RY%NxPHt>E{qq+Yf@m#u2x9ld&>b8&1oK6El*7g^NPKus4
zcHxfF?)uhws|t6g(}O2en2=7~8+dUS<nBOIf5q}jnm#h&MfSw;mfy8VQ~+2vAIyg?
z0Pyz*R6x>a5{xa7$Z|ZK*5W<a8h(EG<lG;erco#a5eFY>y3V`qumbM>CPX1i2s)vI
z%<-nBNEFDI%8}tt>>FgM&2P}5V2bMn97SZ3GkdZmf@uFQH_c(`c!|ph)g`BI8w4SG
z^^cTDV2%YSgOOQNs5L1<(>*2d@Nf6;z6a<5%u2eG9xcmOPi*`OyeHtv)iZUQ(27!x
zpQGVL@q(L<J|2pY1;s2&GWRw;`{E00{iGklKR0ktlumLSA6ogC=0<I|w$y5CHgXIN
zX(W;!aXLQ>qawqcuHCI$7<|>pW`kuVc3=N%Wa8~y+^>g35x4W-X;D#KOvrQ4BSxWY
zbGf5gJSvoy^j*WYqpohOE4NRyaMTk7D1~vX*qeB07jov%-5q9`2^KwwD9o<Ne3<)%
zaeLR<L`2ldA=pHm7d1$4gD**gUAU~TuQo2>={zFE^j*w8&f$^R2pgE8RfVrY1ziAk
z>6h*fQ;3mxRz-{PT}(H;J+l&}rd{`)i(c16#FGqtLb`&$I6%J4-*;t#0X)k+d9mNh
z`|*oSE|M}?Q14s|kgS*r82Rm1tc%B+$y<?$qO^4n7XB77my28ZYTT@UI^i;#fkGGV
zU@ZyC7@g4c#q#9f3ufMXah@X+{o$-5EPawH@ix6i`weIx)P%nLhB3pa^C%$6cVRZM
zuwZv{5qLcaLb3GjMGAV@^K{VGqcen!{YhyW*AkggR0Qe6Dyc}lC6Jl`8y$zN9*<`U
zgDt0<9_N<3^cG-c0BlMBjW?Yg+{jr+h=N*>v$JvbNzmwP3n2-K#=5%ShaGp9k)ae&
zsh)VehkhYsy*^|ePR&E)K-`CMB=wY9??I7z(gHAH{;GAMhrZ4wM2U}@173cB@_aT0
zj8#Gp+pn_bL1_s)WslDJe77X9P&CTyNlC5+-ez1S^N~riN>DBx^t2}zS47Fqb5GA-
z{hp5|dta~>tDuFB-WXlE%cj?4p;eULU2F<F&pu;kBt)s~$>lsM<NMPQ31m7&Dz>Qt
zn$A|(m_=l$kS57~94-a{c4F1ATK2k+Tu|$oEGSqAv)_sy%01N!EiS1g;Vf9;T>9fH
z`t*8`FEhttzGt0f<%~2BMi|z&WKw+158fRU$NopAFI~Ieg%|(vRqZ-%x~Y@OI=q-b
z&ZxJ)!Mhl)FmxE=gW>s6Lup1(^S6?@K&Jr{W=|LUQvQl5ap&}mg5E`wA*`~*cfuPn
zxb$miBvzkKQ;zUU72eQeDTcAT=J{KH)X1Sjk8n{D_|x^U`X$dRCW{~WOcp3v=6QoI
z)uLXNDojlQH3~6GYjPC((!(a=a2MT6^wpEqFQdp&QOO)@6k$qLIH`$0U5mSJ<PN2H
zcBv-^_UWil+;P12=j)}gI6ZtyiENpd78L{i{Wq^Yb@jXV@8NmQ(LvdooWG6Y{e~VG
zeWroXoH1GvmI?w^My656VWUdR%X0=pK!BAq$lvnx^sq1tm`H7;+C>;BTUQt!vN7*~
z<s%Mi0|@Mo-#i0`4zLwF{cDO=i#mKS?cH;R3EJ|y#X$qYv)e5I?j2HMY4e9)9p43>
z)q2&&sTd4#;jNM~bUT;kpC+kOI=Z~e|DIwVr(}Vl6EL?HHFx-)keP!dCEmZJl!ovV
z3KKK>9Y+I&Qrk(?A_3k-%IenI7di^EnAFSNyxMhCvLC!rUFa%y7<y$TI5=oHof5-n
z2K(|BKdf-%UJCY3crFpBsy)ulFBJLd>@qR?B<h}Cb?YsfySkXVV`eNf-foWJ94Xju
zu@;2;^mGJ_zS?zh((#=-?r@H*4&^!X^8z9h)R<}0&sb3+bYHS#P5+LC*bIB7Fk{NE
zo4pa_2c>S^Oe`}SF{aTWD%u|1ZXA2J1oqu#(G{vN^hW3zEpGJsu;1;ap!^a>%jNmq
zRvv{J^-z))SD)#o-AxH%+}C1wZnt~)@aVAg1&oqjt#>3fs(j72nvBpVKt~a`)+^jc
zN8!9<pnr&+uj~}=;tha07YZf6q>mp(ada5);V@jO?H*==@a~4{-L!D6AzUSnrK2RL
zWp5Fs=UH9h#!2#+U+xNItB(NKb)AdrPQT9hf$+cE$mN{%hNxmR+_}e24cM5G28KcY
z!I4M6?Z4_!r$hGeJ1)0Q)5k3p9ompvZLZneI$By%cWc;$<1fDswOPKqCAGC9c>3k5
zwoQwUH5jA;fO8ce8$!a&&X5xeR?7qVaIX-UQvwMg&QJd&R-zj-B%A1Dvf^}-gMf7}
zzqA(EtTM*tdNj9d8DyD=FVUmWY!wA|6IDFl^XH0IOi?pq5Ma(<xTiE@3K}`LlyN%x
z*nsOwPZCqfgpNwFq!X_ftq_@@C1NCEuZCI6Vh^I*%F0ICp-iIVt-mHrc@^?#2AvF$
zqERNi-n#N2-j*qjk+=Eu`wXr>hMte+4PgSg)rLliPr0gY==+=Ox38n_Vxkg+e^_-4
z&<Tpi;$vvdVHG~Ilce)ITu99pXni8qh(`bYEb8fN=a;V3Sfhf|eHj+LKNU<8^J!@=
zW?|<mScw04zWp`bfVxV*>n91%moJm9fn+GIpHbu@i@(E5pZ>Zz<NBx2Bi$A^QcFK)
z{YTB>x9eVC(Yb$|psd;_hMp!5D`Jgg=yS%BG1%HYEVa|iUny&J!1q@YxPTVPCk76c
zT=^@p{w1&C1AJ2|v*kPMF=D1s>oK?&W5aQkCg{^rl)2dGN9X8`ndPfcVY1v}Dq&bt
z0_@BzWBh27FFuOAB;h3V|5VSU$o~-m*~3KB-&Vh&efZr`5V|?b)b@X8u_sp(^&$BS
z+a`LNW$(R(Lad(V##h7ZX*%6OaRT1}RAmZ1N(&88$Ci|avE&k|WuT4i3tj)Jei++!
zN@P!d)gBE-s?-lwJ5_1T8%RdR)!8$zH@~HQlMY&+=+N&6HXBfDE~!Cn<S0rjE-XLX
zLUnRzgJ&~lYDeKeQ6ovy!R6Ss$v0rKK#hgU@1?0izogVux$$ho*IwR&*@}AcVYR?*
zi%){Sk7Tmru69qgC@1dFFTLBHn=b%SdSn7Q!JTpC7OI-X-tTh}h6kl+6_HI%i>{%f
z2kTN|8I`S!>rojItNgE{8%zvoTIhIPOg-y**f3dsdB3v);7*!M@;y_bP-XfN?toXa
zdKQj;gg#+I;TWAJcAj*CPmR5}Noh%K(<bg<W)R+KiT7^lPEcce(3*2uaUH;8bh{WV
zGuo|M=})XU1FK7gA6wDCq7xfQG;niJmNm`&7L_L988|WJ_eG|j=M_t{;mx=vXJ_xI
zM#5s$h*~XwV!7$dn@4plEu1VF0?m2uM-2nS51W2E?leh1R~<@DxOT;HNn5X-|M9!W
z!EY{EW#`KLAlH!X3Thf786hmdk458)Pe>5@q}dkio?Mttw_6pN&$AZu?JRwfI4Y4r
z@uKU@%mgWE#BkC#Mfy%<9L31kSZm4KX!O4Wgl<dIvvR5WTj<jkYx9|SWf6gk@P(_v
zJ5*9xz5h-}B$*&9*+61IGd(K3a(?D#6y5~tfgFCs9F?JZC?29<Mooj1v&gRI&8`z-
zf|@<(UM2;+bKE!(0#cwPf#9n{>o9$ISiL)NHrHD6Y};QPcrm-Un-CS}r_+5n5T1N1
zJair!CnW9!q6o!6!J^|Po58kra2%)nGPN|;UoVU#7uT*Wqhja{nSjWTF%fGmH?E){
zV#mkN=cmFQlqmwb@G`}6sJuVj==EeWz(lEWMAWwK)k!>~6=Ii)uJ0t0$!=t~`$Tph
zjcxoPJS(W&4<^5U<NNz4)AhX`d*$c*NT>GxYM#>*rj5tqY@1ou&&Sb6YQt2T_M!{>
z+%E0fY>*4$5!m>7^U#NizAffi%b~(5+-AZE6LPpr;;KW4r!LBirLE)<*);9Ls(<qi
z?=@MY#B9|xPUm^YJ7)<`9g;io3e{RsdN1$G=EN=iP*Ik9!3mR0NH4u*1aOwJJ^d>J
zzJU*dA5Y$%1$W`m)}Uc`dDdN(Fytth7xkr7w+eGNadUtC&PUixpT=;8y`+qUC)W6G
zR6$F+=Ag%tgQSGKBK=Q#pFx~qNR<WU@s4$t%dCL_jTp7tT(Cy}rMWPpi-lM?9B<8B
z%`CO|{p0Sh#&o|Z_P4i6#ISlkZp*Wst{a9f8#A42Wmm`cgg(5oL|M#=yf0sQ%k*<r
zoeLdSzwDReCQ~>^1=!af+LFe%Qn{pW-Qf+eq}+lE;fpl!e+VtHM=kGdI|)0|#{yk;
z-^_24O874B9l<!wzz6%x5VFA_=*<g!NfGc9K_)q<_NscW9}hl~_69~yMOm3tOZ?2+
z#mIi1potzNb87~;RKU^?4lWM?y8k^8GSd2qeiJSCzM?dw*6HiKyxwpfRa#LY)552g
z1dOfZ0ndfyUbXVp_t5hPK|I$X%!cfOdn}jE!R#;fiZEK#eW6xN_P!f!#=Y+<nYpO;
zRTzu()L-L&j!!rJ*)R6v`TK=uGfCC+62th3mEBQkf_uSJJnLnfy9yVF6tZu$okRve
zd%RK1<J_73%v^6fW>WWtZO(Sg=jg^F9@hN0rTIteftwpU=UEz8z6-l`XT+xijN;NB
zby+#DiCZf8!;YCyb7G~{h>4^4RDJfQS^r6b5%-SLcJ|eUbIa%ut+KwNM}8lPo{`8H
z>#bu=(M7K%1qq{}jJ2Z^ONwoi7zu8@R0zYxcG)U_QL2=V@iET{jUJ`Ur4x4jQ>@^H
z#Yqx0dNj04j2EO5uj>@{3>S(?r0WpA6V@D38>;P+x8P^&4DaFw4(t5Wsf@YoyJSgv
zuecX|8l8njvL67>np9uGvqr7-$yK{}wCdZ>zScK)yJB8%Wh5Fr&&lzneWaq*Gu<L!
z7<P8HvgOwO;YIQFKgVg!Ua3u96sKM^{cR0i%Iu#p^wvd3l5AjWCh#gW8zMk=72AU`
zJ%NLYk>-+*i{IhBPGwZ2)rG2-Mc1plKZAoEbq<>a+OKX9hVq86GpUkm1+fNjIjDS8
zj3)f*&1iBxKPz~z1t1x}fPi;Xn}tq+neRvbrP;i{1AP+&)(J^THCJv=PY4|JZ;AyS
z91WNm8-E3z42NVdqGxOY;f8QW)5dKcK#r#3pOareiry9=M<CvJ&sWoV0*7KOfFn`p
z^rvCG+5Hw3Au0qmrk1^D+hjjJlFwdl*?GVd(5+EgTXApG1$5W^?!ln7>Kv~&2N-ky
z^<-xUO+BJBcc31=Tjbk<ydDb4H+&B?xDIYGPDH$T(o$2k#oLy@!V+yPKSo|k=WIa-
zk$cXb&dfH0rr6%W;rZceJR*M?U~IDl%%2y(b6`DPi-f){TSKpnDoj<3bj-9hGA%GK
z)zfH&*;*QvzrtvXliQ`jk6y{<oODCXT%0Kog(fJ@5r{j$v4lGueGEHfK=XVrtK<&*
zkDF#&AGs<iu=DhdT)4$7d8L>Q1ZO@9J|rVrup1Jz-4Bkw7U*U6Gs;%w=&gZ4r|`5n
zo?ZWM-H9vDU3;jM8yqv?C^K+@(VC=GO;`?rglEHIZ>sC-oN~vdx`kT`?jtLUZZZoG
za>@WjqQ9o`O^m7c$lfvRQE73yOPJSS%PQy6!_to*7BpoX#L)<jjYsD4d)ZpUiwk<;
zafv*_whPD3)aRr^*_Qa2i=_2@c>7jC*KqfyHlF=EtjAGUI8OqXSymiV!s!?@)SCH|
zC71Nl`E_215Z7M+Xx^elQFNbPb)<$pg)QbWx5q=mT{p!W!)6M4dc9AD<9X9QN1(3h
zPrXU3Xo&T0le7)c(Y}*UH`Lzq%|c5v!QRmzb^SAyyMb&SN4?0iO**k!iIWev0x41W
zpKZ6U5O!3zXVbaH5C!_C<PNk_&*3(NrH_<JSKtS3GO1{m+_)qk>xXA&)OY(IpeS2D
zdk<1f;pcqB56Rpd1qd1>LNEhuy7_u@`rQa+HOOG4yY2zFp8YZX`SJ8JGCx7k9bgnA
zG+D@$TY2#)2jnkE4B;8b_Wk9Tk*W-d7X)v;Z=fLaIzKyA1OgqAi3@N}jv=RWYgfwh
zpkaIlydjX#Uqtl^Wj(_WWJr#1CcXO(kO>jOVFbwi7zqB-5Jw0^JFtb(QG9;*k?q^h
z)OyL6#oB4W7wn{<prEt`>oLTC>?hgGmGgAwJx!;w$6cU3$G|&onob-s=+3*S*LF`^
znXfX;%(IHA2q%D1($a5vG%?!A*(9v(2Ky@}reo@d#;URU)7vqRug(<4bKSmDU!w3P
zpA795-o?V?%3z(Fg6byOH`FKWbal(3mPNky$K&GOVg5|b%zv}G%$STZm1rXjrJQ%o
zmG+H%uV)SwnH#<=_3f@63M$m)e2oTcUEa$0I0FjaDrtf;_fG9Q^l#a>v$0SV0hV9x
zNu<YIok*G@-(z8c-Xpw}!z4Lhr72PtPm1s}-)@4Dpx32+0=!OTT6`37_-!tmBW{PF
z-X_ZXEe3wBk}l)dMCljSO9$)abK4)#rZsxgvf;OX^h~3|9PUka6z``cM(rfI(OfF0
z+KAsuOu6PwOB1AttB{m}K16;5lz&03I1-;B?!xB8on%2QOznnLS8+$dUBd&-%|p`F
zpTb2(cYwJ+{q}?5msYiyCMMQaHg})TKdoxzCP;rJEQU6HXi3eLcy@g=ipW@&u#nq<
zY%h3(skN0bKQ6JWfEd0M*9@R3Ca~6_Cx_fuR!N^HL|r8qm<6d}$+f7=e<wcy?*2Ik
zqY!mF24YB{A)Z0@D-y>IvQrTERrr5G>=vT|7}{s<n1;O*83Q62zX+=qvF(tNIR^@p
zQRtpXs8^fRrY-y<Wcmkcx+k;VBU+#(zz#z~C1752wkLDGNBZhB0#kuY-PN=2R|&63
zinfGqA@A>$&9i)h#6<uU{~iL}ktoMe=U)imj>s*IUXMCZkFG|rrI~}oX!fLUHn>Xv
zjO|cNYmSIkw9;c%8ub<wJ%~Tk2>HXYKR}1C%Odi7${tT~!7~EI87NSBPZ=9Uy8p0A
zQhV=J;XAFXPPS6=MCm*1Hp6eGwLV;okq}$9ro_I_<Q15h{5@NPqpa4{MV~Lp!lyr0
zsU+ea%g<LW0|%#&2;A4F<*+V?u1hiESR9_rVl!R;61TbK`}P&gi~R0rd3vw%Mc95Q
zVKcii%b^i7Nh~ZHdUzQ0<Eq23TwvE4y`~kFh;~%CJ;~lNXZ2lV(x#)938R;HoRO!b
zZ&zrW;9aiXmyxI0o4*d3F9;=;tE%JfsQ7Gm(NkV@otTxG8#Vt<gjF21*m?OA3s;nX
zVizk{J=;6KXdkL}Ti2=R#tTvC61Tcu<FZ{jZ<`k-Y$tB>ZM(=B{Ot};<%_}lWVD2t
zVOp#)Bdd%k;>r{;iUMUe<@cNpfBGYnIq&Pe8RmF9HFDo@&A*oyg|5nVvCQ?|RQww^
zmMfcmL|$#CE{!wSV<uS=6NET<gL<WsQIht<iVwKbMCb_Gaw|2Ry$j+b@%-YpI99na
zds?sH<vh==PoNe3@hnSZ=D{I~$xUxxsgM3@s2Yyd%uMa~jW4}u^cVCy3+1iuhRmLw
z9(NM){L93GaF>C%&<!97$ek0%5Z!tNKx7D@3-f<4GYqtG7$OH{SzhSt;oOi&U5rnU
zb^Y+>h0V8wG?tPGr)|oRM)hZyGc5+1hl<xCC^r*=t@YzqeA7f(KEApqW>VQqRUM)I
z)GMcFF-6~+tSrNs$FFYtxK1}AR?G0Ufq?-+qSj!{NVOgiO=QAnNdHo+@Lc|5a1R7Y
zZHZRzes0F_Hnn-gDqWVU-q0=U;yq<k#p1vP**pjSePK~1@nLAF3*;+xE((}CP77Ib
z&o+YhcXYo{_X`s+dIV<Q=-;<bdP#(JxpvXju?KsQ*C-)VGmV7>6aVooiJz`-w>D}b
zRRc$6Ug%xAGaiqRH@m-_tipKHQOrv!^ab&Q&!1Dd^mLzRW~wLIz1$^sF#b-$=%1sa
zNRT<pe-xjM>pigcu~zR|u#*iIV=f6jItq=K9)sSsEz+n}uh*G8vG>nuyP4kjQl^dX
z@NcY>73uCUvyQJMp9`vt7uvHcQLU6-v}^>{j&?cig5H63%gZsO{4)venO08*7Tg9B
zqKseUnhDjGr?;y<amk|g)?X46zU%riL4S!PSLxejLuS&idR=(j4$}7Tq$|*MKh!+X
znzWfjC10a1tDvz(d>EwV68^(-unS3jW`{0gkr>h`@om>H^uVu3FsD}sXwzAp?45DA
z>f-3y)Uw85x+y|;Fc>KUI^&`E$g;xK?M~9^X8x5WUi`IOr#)gdcQmZ3m4>FjE`eP5
zt{IDyTGl?UN%`b%QFj#NSMI)B*{uU_CV#iFOT78fs@D=uMA->-=~2R$^gjbu{nF|4
zBZZNPwQgKOdyQTJUJ5bv0<PlM<o1R?ETJbtF)*53l(ZI8<6v`3bV-P~B)buFjjgti
zmV?D5KCbijZ|6YUE{$3{A7)OB;+ln0v_z4a2q#hp5}th}A^W4K#d~;6sWd;;_39-B
zdWUqsMlxv1O4uit7zp*tCx0&V?2lhX<c!)y)e&zSj^<eZpc%;$>#^L;xR#w*Kjtg%
zQXt!*#)KZbJ*H5Dspyy}z)u_gLA2xodX=)#ov4)GTDKp2%-RygC2yiFjUQ$w`MBG3
zpB2U4BE~cwAFZ5V8Ar1vY50s5LH1VUu5$d|ot~wa1oZsu5A%A<sDD-|yirh#c8@OC
zV8F;4nIYl%y%6c}5OYO$GQ~^FA*%)#!$8oDpH4flOT%ykhp)mo;mP=ywKq)i+2EhY
zw&C|*+(~{J7XW-^K=g(>X`<af4-gR(n^-retoUX?EKZ2Wy?D*0W$Qtcsv_pfR3fM7
z4kMaqu6p4!jj{1;0rZjQ+7tx*a+xUnJDr3N2#lti>BOF`v|gGd6T`GQL!UhWnQy1j
z7>gP@Dwc0xuVzevDb&V_X`c9lqo8=;KD(>*3UyQ$#|K?JcSYH*^igRgpXToqgy=Yf
z9DDimlx2c<&}ph$8NJxI-n_DjS9-IsDbQQ8R_63gi&BI+p%l$JoI&@KyJ4R4$32&C
zCfp9+*eA%7X$8^t6`v(OwZdM&sqv}iE25yHB<N~oWW-HNypmA=+2QC*ONq^05IUlC
z!HsjkY+(6OyETX}iTSQ#HWn38*&fVvZYmQcpn0hkL~?zk_sGJ;iNXw%O&vrpm_rY{
zKStR;5<>UpNv)6YOFbAKy_F*jDZqTJ-#d9OX4FQ>NfCo_Jx<*QRTi)?@OH6k`?zs=
z2~_?nFB8*BBiz{}MdqF=Vw&{}tKla7;`qWYNyE?Y<5SARDx59wxgl}nS$Vc|&qV8f
z;V?O2G!D81<>Q}x?>HAeN!C8f8+ND-xc8-W#;^A-GAw-MF7jWGB>(wkxRKA((~Zr|
z`%*V@Xyl_HZ1y^TDl@LDq;Bf9s$13{dJN6S$>qC#zwo-4sep%?aUW;xyRn33(p?ig
z^~4yh3vc*RDe9Ss)O{POgWnLe^Ewifr*AX;`M{zl5;ZtNMnfc)OO=35aw+o6S9kD6
zi1}H?F%9>e>5qe^qukT<9>dYcI0=_5t_Zz$rt=^5xix!GJEr)K-KK+bpo30qU0?hG
zCv7ZRyetQ{l<*LVfw`C(`{&g^-VK6IW8^37pM*47C3Sn1s;JH9c!>?=x-oq{1M00~
z=vZ*xl+sLR)(OmKSew(CwT@;dqldA$I$3(j_|V2-ZH_9I2}?)-Qz?Gn)4}Oop&rqA
zlA*iV^G4So_nrGw(8bMjZCs(Zii4K~Zr5J#qBoJZvm#xhAvWhSE4s0O!5@hdOQkT*
zR#n++K(oRLD0H@ICCU6uRE9aIILK#V_Ac@1M;y9KxsSmcrvc<?yKl(Kd<@I9#J;~2
zB-xeMtH0)}ppVx@x{sZgH^|c6;Hf|PHvcU2_m-q`)oXFubFqVO^<x&J=A%9PrBbgu
zFLt=b@3B~gGoXKbMHxlR$d1eGYs^T($()dzt~IA9pR39ckE200#lS@Yzw#q;C(FuS
zQXr?mVSTms_pi-^Z+pitdwHp7Mr^TNca9weGXsCU`nGAb_*-H-$IHF>cHe_uq1e@^
z+q6Q(pO&fA(C^eZxD3Qgy_m1=ALX0Gnkf;echgLJdRYkqD%Fi1>lA<~E#jh@^Et-~
zb>0RIGQwg2F%-Br1}b$X2fC)--khw3R55(dcf9y?sHr+gwJNy**&%BO6p|c28RKD&
z?v_WG@qqs`s~dV@7!8@jervughJ$SKZuG!Ul0~ideybEa{yI0F>(@Iph?W8*=MP!0
zq3FYMYA&A^v@`~=+#(dp;+4<h&=MW)2;7Lbu~D;a!xJ`Bcu4GQo%aJDkMRoTCeF3g
z+i{n#RdaDhGjh(g_3nF(msm?<<mkT8%p;zO5;NB`WXDtU5*HJp;&GWH1p5Vgl$xU4
z4HDTlOnQ=K+_!Xm0y*K^lmgN{j`rAjytlC^ieAw!at(EKCm8;mTcr2A?UD0LL@!>4
zPQf!hmb<6V&O4ifA_mEox2<!d@xy#;HxDZC<I}S{qE21bUAGvOx-M_N7U^Wu+{Ccz
znhsme>c~c4Dt^&(I||3$M1_F)>HMyAeNV#IC)+BqDGZcKlN;)5>Mr@1nC5ax_mdp`
zP5nPL2eiK(q?L|l#Q1`<$5*YPc28W|K<y@_6M<&lJLk=nm~I9hsSQa7>BGdbW@rE3
z*+JZB_J-p_Oaz(<pI5@w7|>9;ud&4@R--e~?_(&M)_AivdVj4L9Y#qb*0{*M4ZIc<
zfp!uEVe1GT1_Stg8Wum3ys2JU5-OJ7xORDf<_Tmhhq#3{2e7kUDj++g`(UV<jY9FE
zk;*yjcMVIU(K`~bvnvmqNafN~nvhb+)=v?%^Y$chkL}1)3!$edI*P8@wPJ7CbCHSv
zV!9l!G5R`UsCbU2--PKQ3PoW+`{Dl(brw)nZeQ0w=MVzYpmeu%hje#$cZ1T6v~+iO
zhjb%KcY}x^4N@Wqiim#u+<X7;#~8}cAq;t9@3q&O^EboMDQ&xm?+WI5*vlQ{Qx2lq
z0ay-%;5zD9HuTee6J|$&6~?3OuVZ`1FZOJ~il-)sVZ-+H<~K6!HnVN@4iNVQpxNM5
zS&}^aIgpO4Ja1ShP$++5RQ9^JPsp<Si3q3MRM=zRayBwZv67!<sXmLT?vmH+9q?sh
zVj=fDys_3rmz8!Oj-x4K@r)?vjU{BIijet($eTv%M2HMQ{D=~9%4GF!j&qbn+mAdW
zzN^aF&b?0aME|IdjF$`B)&Vk(i(6hHgWl(1q3_sk2n0t-_1hsI%8Yfr?aI>p)}b)k
znPf!T)&<G<RrPeazP@8)t@P8zlZ}r`gO=r7wO>ypbiK!lzWlVtE-pi+F^ykv|30W4
zDlQ0E3nL?r?YXuKRsX$+nra4W93h{9U=OZZisJ9v0Ym*xxCVO@_<g^4{Y?W<q^`zO
zr(k*(d@mRx`q<{eUGft$v<OUA5g6rfx4rL(7?AB}+QkU0=nW!s;lEOH&&7UOO<$D{
zN@Y%gTTOeNFOWC}6df*Wr#FG59)Z@bM4@QHXOu=3d57O|A@X<QJYCerG2H4KW^7qg
z2Uq+1<wt&Qq`(^2wC2(O%e$3E;5lBjOt$7Y$)T;%quhBsq>*NgdfJ>&l$q3i2hjD<
zoCLNC=QqPpec{FOk3w>W3OrTCZphanEHF!*20KKk1iEcrY{_&>juTLi@dvw>F*@?)
z?e&tBRHMnGf1#V!wC6LBEfJ@bP>^V^Jg~%xl9<joC5(C}X!g#q8j0Q%HvobSMbBS!
zpGJA-mLDkkYVwEQ2Qt_#RUUTI0`+Kg4h*WRHs)r`mL+&3iK6C?s=h3uhk+4`?;eAU
z3&ln-$-IfSLobY%=CoD?!81Jg?u+9g$;Z2M+6WBdhz+4m^pcr1BXNl*2;#j3z<oRo
zz@tllGqwI*EH!JYDj5g|0UM42qP+C`9aiwmB^7?qB?pD;W1FEYki<A{<*H`F1TeHB
zkGAjrnBOGxsl+KzoRw%`<J;}FhT$R;hoY#LM$emYcY4Lw#Gg1}OF2}#5`a0f#TDo0
z&j*WEEJbq!aU+jO9)&|8gz^Mm1#OUNI_IycY%528RUVc+rJ>7>Nz-ncux&kXCxQqZ
z-35|Ebai#7FD7!yi1HBz(fQK$JvXv3^<%18BoL$WtV_#<7bVk52=49B3c|kL_qkcO
z^13e%#tA=dn=0)a?)21I&`u~gn-*-YP|*_6?NDd3rpk@)y*+COM1c+#r*OOWO;@1!
zT>Q0@j4nUz-m+V5VR~b{k}-|O@tlVq<_Rn0XNnzEq@-PxPPezO?i-s)7ThRHqdUfH
z!2vQMWEQ;4Thr&<d-nq<hJ}nJvG{0GuQBf`x)RH+Yy<i@h%*u?#0CH=!kO<mB7JFM
z1p)#tCR#haH6kQ}_}wZEt>$1fCCz>2tpRD1KmgZ=r1{vK241V;Q1KG^>>7!9J&Jh!
zOq8g;<CBsy*-FxtQ?Df+AWUTY`#k%<rBJaVcn55AuYd?Ijsg=o+)W_MUlWB2I9`DR
zoTSpAX)Wlj0avPoHQn@=Z!xI-T!k7p23vOPiJVW~<SWFKNF{`&ynm-iqrl?ewO>(i
zGKx)ZrI_i_*q(Uvmkjmfe0E!SDxhV#f+frZOBoXK@sDM57XS_@ZP6;=Lf!=TX$s*O
z?5|vQ*;c<pXA(<Y(c!O(M25`pLOg}YdS5xt5+BNZ`XPDw+#qGYm@~w3(A{g0X!8>W
z!>N9QR=3qMZL6QFyQ{0Kx3_oxrvaRY;8$K=PflM~DZef3%5JN3WToJzeG`AeU85MS
z5cp^3>;>Ynzw7`eF+^F(W-nV#Q^`#5VAHb@2h;j#>iB%W1D|21kG~=-8{4k|F>P5v
z)1BgE9tf(UW!vF*0~*ZN*=DD*G(Wn5K^X{kU0mX>p63!l#zU|b@Nl>y^FyexDH*YG
zF(jvJ8zmIvX1#~g8$|SOA6dTFL6DpuM-_nF+?89}%6eVbmJRB2calub(P6A8`FDRB
z9v<#`W%>`g{h$3w(GToTa0$H0x?6d$YP3FEmQqEk1!39Jlngm%9&w921Ue@Zql8Ff
zdg-fB%DF2OSE|1M<fYyZK`A>=WQ`&M8wCNIUs-*A#exvy=-{BwO#m&aTD5knpl0(>
z=#-bZ7q8W%qJ8cCf^IV3=h@-#t#P;W#;w5I-zv<)hawV0`EhY>6hR?z&z%b>E^bQt
zqQx_IOKMF;PTEjnNJnj}-Ot;e<{7O6^eB|_Y=`Q>g7sDa5tjRb=^F^d#%;mAalF&9
z`+?a9#b^o$3W}Mh*QlW_Q*~3ft{BSd`B|qBj_m`Kg6!<W4u?_R9jw&+AzZx%Vn!7y
z8bv8~@7IwT96bButDHFc`)Z>{aV^cx=MFh}i7j@@JE<i@ihYY;NS&UmHt6OR7K$GD
z<*2etDw#)!M<^rE+tZnUkFOyth+an@-@D^=D%3hlew0h?nS0xz*p`i=rT$*QVfcxM
z-Bk7g?PCQJ@kD7(bAw2~#9@3rB`hE244#nxUjT-|3&0q)z}?A28ZQ~jUEtTQVLYiP
zl}4l*Mo|pn6x_B^x(~8SO@TpVCl|?~iaf}ck_dS3pVf4Hf21;f;G4fAHc{~-gOEuJ
zh4W&5%bAbh>C^aGR77`qd!i<%R$Qzh4&Wxv_kcvlV5Mi|Z1o4--;S9%z09A#V77RS
z3XzNsGdQc66<`-z^`;RkF%a0wk+C%LHdS=sMuqGlzc?Ec{EZnA@I3~yIhdQS{5qB)
z!rXRB8ia-Po4&BMwGDUs(j_W3Wn(%#up5T6CV@y#ZATj*+s;rMREDhhREMU?UvM2?
zs0L8F5A&Jtg?31vj7-uHn>#FO8krNJNVe&^&FU7G!1S;%&=4|j3@+k>8bXFw3oC?U
zY_rtDAm*}ByXt_2+y0Nk;=zJW9xV)48ZwCDf}~usfYS~{B)iv`chb4p$>!*O6N^xq
zj1c|iAKCa+_OxUz&T3#qC@HHHR2m$0!NG1Xp`nznP|X+6V9Q!MO#k1$q6C-A1715&
z|8;@hZt%y<W%gw}^ldFQgGz_lxw$5R*_Q&=WjO76*}AzoB8A*ugP!?IK}Po@<y&|w
zC5(EhI+4buB4NrfZ+`6Xt~V>+7^cT9{i~-d7^T|l08bB6ymkthWuF`<a@2279T8eu
zosGhDrCQ^~&>5$n#1`@iEo!Vh06+h?G9L(lch7wMBfF;_Dn~lOfi5jQBJMDefE|li
z&VmZb=D;D`4s*!erh>#X{N{bIzAX%IVL}mq&eBXwMjjEruG+ifv0yj-;{jMn9;T_F
z;-q7c<Q>$(E(S`@dCrfp(#&QiYoa2X?!>rSP6G0|2|lV*!X>m3>$Yqy6Q%pq4ZrVF
zGe(ETpBWocYZrbQbm%A+EcN#}V{m@G7N()LrkbO-&rG|yyOe`|;PkM%xV_tN$q&ik
zKKI_>K&MX4aj7exbfYgrM$4Ypn6B^WjtNm2IpULHpd}`bkdzq2f78Kvev(oL%CWO(
z!}lywa>z1`q#W8|<rN~~xG;1-dfAOV895Be%$1>EfadwL??{CG+!pxw|E<(SD$1e1
zo2Zs}0G<Z$+dDTz;ur(!QaZ9@RmgJj_qBaIe4Q7z2;BI~kSlyw2qHUp?HtsGqItA5
z>xZxEd2?`b%c4I10fYxv(atw-%sZ22t1BFwX%HYE5UMhVjg#C>&fD5t{42BjF>&hB
z(%KEr?J#)(tm^tsqM!)%aqHpu!J?N5buB}S+=_n*{U$bQ_Y1;8-lESUoSX}e?SUgu
z2o8}Iu{zFPHIx$BWBdv-ZS1P*wI+vZl@n9y5*GhFYTZ!4t?(Ki7qEm#KIZHCinNbd
z89_X(vL?Kem!Q;1{JjE|I<FxMgA*cQ=q8t~;PLs6R3&DBtWIhMgt^+A^MZYF#l;Fn
zNN<k6^6c1p<`ccAwMMoc8Flo+35gD@o+PiTYzbLjFDW}S;<!1`;tfoh*1pZJeQZ+k
zn61fOU0g`kiB>Vg*M?2lR-Kv>)qvi*Q9(naowhZ1v=VhN>>`D){ILD9{!n%!ySdFw
z`6LWCoEq_cHgf4OdIpEnGtuY!pc@_lq}OnNl-RZL{~c#VO~1wJ0ga@otC!;mnj*qa
zGowr!fc&`|5F;)~;Qh)BLzIea-I4rUeLG^Ud(#;qCuHeJtLVB|pzcJpt~O5^?LPD=
zpSI;4Gl&7tn@W)SwqU>SXPWb#Xtnz#K0@mGulPqfy!DM&v24!kyxdxh_<UPzu7I9p
zmvJThRr?`2lve#d%u*erbr{#>XXcI(<V|Z=6`-X#@_zmiv@7E9M8<lfqiM=?eli9z
zRM$-i_s+RhaKq>Z7g_aAa_-I@cPzRvy+GB@-Tms@YaUZIDs6Oh4vn1ZN5}EfH8WKn
zwOY!n$f|-20XE%H#Sr~L4`N>?Q|~r8NSGx|KAI*(VIjh}ZqHasnS<!5jn%up+%M&%
zO|!IiW2Z2b0$+Epm0YZxUf1*SiH_p(-2Am^?J&L61N5}G)r%P4oN(Ju$KRMVx$6AM
zr@&W>3XF?WVM9KATvC>{-@wN%-oF*vAg4P;&3%eAoRG;m<*Au@+Cff)pCiQMRh_cF
zj}zU&IU~NZ>k;w62n&;Re$H>!W6|&DKb;26nyJ!u)zk>ij&Dl4W=|;Y#^nmnsDw9N
zctR-b)DZ>&>ehIz|MDdbXq&MI7}qdcdwbt{`kK7>md$L0n7kmB_TCMvHRmUO*a;yw
z^2o-J6oRg6t_P4N#%RiVx3)C&lgr*xW<3x7{S$ykh361L(ETo7WhH{ozD5qsS^IdO
zgg80f3}~$5T|ks1(72KULKb2O)l-+=_jg@3WJjO8Ho<F|I9gR%Is5ZIi$sprVq{bx
zk*+z>{gGv9OqzHys_am<ljQ8(NaQD^obLpx@$TJ4M1yv%2GXRA+*Gc`wYl&7%ASTC
z*f*uu+j$j5L&nRKp*Ypqg6P`1SSZ+`gbqrNP+RHH@U%0dyh5;99=#WRif5aVdg1Ab
zOlZF?KP*lnR4;o(e3(haZt&6LU~r+V-Z4pEbXd6*Z&6$GT(j?KO#So+@5TH?RaT>3
z#fhE}L<ojFtvv?10@R8xjb2)Cg_AJq6J04^5ioy*)JPd&l3hh4B8`yJGT=WeEai5w
zs<m()p!zx2m<@xTd*8!7H^6aiy!PM_Ctdm9S(J@1K{i3wiibFX!hJSw#IoJ+;U;ch
zOD!|OG##8BzlpW25{M~_j2L9L1I5tX^=<|<88_WtGU<Tz{K&f3Vj9O%)S;mB_NOpK
zi}E;EcezeFhTMHba&@3@2SxTlB;~km>$Z;o$=r=;EEGEb^VF>y8xU}`pFN>o1kf0A
zyH)<Ync3OdMo9f?QvFz?&Hj)x>ten&56?3c`IuEzz$tVi4c>{YT)o_jJSC^Fa&~ub
zk<cr0A^&KJp(Ok!`@3IGsA~3s6ebi^y@ZNU0wRe>Nr?eLl#k~02}Mn6!DT_JM8q+d
z6~`t7#f{ARyz)y$loaeID3O)cnNnpTEmTv){tBfN^3Y^S8gqln_l_;)$qL(widq54
zBZ$@N*ib6m&=>`DWP};{b!7u|-l~c1@1@;%^6u)WxttzX^DT^|o!tAy<aa0#E`M{)
zeG4~6MdBP}TgE2SrX<-iV>Z1SZBV)>F9pJiUi@1UFE2@edWMI1;v@v2HCqA_ns_?Z
z|Ht?hI9BU<XHYcUz(p*tepS8t1vmygq?mwo6KDFp6qx0#0N0D)D<4??T{}VTm6??V
zrzMdKyrhgRg}eF4zWR=V_#yv^fDXe35H~Yq_Hd#H&pZh}2gh6ZAQtXq+H+lfvy<rs
zoTG5wCQufr7Kvg&;G<<AnSooej29D6-d_sO-PgVSRR@<Q4DGxGj9R$h;qN8Z-^(LW
zg|~%##DlN45hw`%S_wb)-?2EUnQN&BMstd9L1%>tIe9OY5b$WBl-5KT^;XI>$x1Xb
zvTPU535mEC!`z(NQKUrf;|JBPsVv=j64w34&982x?QyP(JPM!U@N0US)My*8x!|J>
z?QqP4!wqD%TWb0151E0iwW|dhs^1Eyy+t*;bx0B%5l(8WNw~?hjiJh9@xFfJQ&b+<
zo<(Z9H`I`9Ay`Oscd>Y={5&$f@mc~kn+@T&dP{mYymWQ*P*@|4r0n46D<{gBDC8(Z
zg`u;S6P7|sNhD+h_hk-TJ{*)U4z@H)xr~F#=#|n#donQDK}()7n@dFb5K+U}n0iz}
z?2U)lY9H5ZwAuG_2+0!iwO}D3@`xxX5EN-dl!#)2^L`wUDfby&@-SPfB)J3ErK`SE
zIOtAb3i{vcC*pE*|KQ)>xYqAbmVcCF%)vZA)AiZxq!8(YJVPZ0TG+N%Q@|!rdtgD@
z4Z%_t^!V{(I8YbJ0p13GQ8MefJIrHW{|k3|d=2<)^eh9Oi~(c}6adlH1XyQS<ibBo
zu!4@?i-Pw*io_LA_jpu1!1q~q_6DIB_dpc@e;$A>PK5yWGeO_f6g(k$0E9e22pG^5
z5K=&U1r|Lx*7YrL#7$368@K$0`|&nhdods&0tz>32UyZS-*$Auai?&uv1HZJ+9%ne
zh93hz`jf6XZt%0_jvhx!zBu;hB4|a2DcIt2C490I)WZTDz$LDheAI5qkXTf3hzi3e
z!9UWGGjzs3WI5p1ci}Q+I+2^)9xK=vushYio<7koxtzL-AsqwxCXXSs3SrTEFGWzo
zA|sK$2vDPuKj0?0LAnHLL={rsnPbb~K(Z@y=8o8>IcRnPa~&Y{awq|7g&@CiSVRuP
zy|yYDL44?w`+LAU`rvlMQ6+?UZDLhhx+>+#`;tn!S^v8*dwhHki|nej3StT)Cd_qS
zof5}9>}i-SEh-Vz@S~kFw<g+MY`2G!r!(Uujt5$;Anphvy7+!^S0XJjrw^X(Q)}++
z?naF~d0ifknEb)zK}d6q)^_@{N<GiG4wn~d#77^rnM`ZrSgEFf)P9~u<n~6OiW=Jw
zHX0&XIK_}q>P&>qyiHG2qT74Xv2gWHW)#>NGrT*L{w;udhJXF)F(z^4dPejotxg5g
zd6MNzHjD}UptAnLFNV(nz8P3bzJjv`#ouofML+tEpyH{t;3>Hm1uF&+iZn2&6|!U~
z5`6tj@ah`@NP*Y@QC|yg^nc-t5B!OMvsKJ4!wBGlqP-xvDUA)}xE#Lta|kE(KNdMb
z4u1z4n0eqTJNdr7?|mC^wLbyqP`AL>1`=ByLGnR9EnL3@2N`~^<PQQ8;x6mI;L(AL
zJ~tkTUWO{uOG*FZJO>cQzrY6^c)#)4v_ZFMp6Hj?XyF;OJeUZ5C_6j*4Fexmez#6Q
zl}rh2>j)2dJX=t{=V`%>w4kg~3DKMUIW$}h3}bcY<MDY5CIjX%<}hldghZ12fW_33
zrakeo;QH^Swe7|6Ig{YX%l=ocmt);^qr=94YA-1GO92zo2R@c&j~_qRh;RTd2Cjm)
zu(0@6@+cEa><z%0fIx<W1Dl5S)t;p<px(Uo7m;Qen+j+himkQNnOofQ^z<(J@wxqH
z{#e}WmbYG8TSu*Z#kAY&NJm68rqKz;HQJW(-Rs74`3lq2l!}9)Tr^y=qY><AVNgmg
z%E<S2ev+9Q4}`1|3bI(#7lobPk636JsY>Hds6vv6P~YRpU<z61gjTDLRUwU6c00^`
zs!YM*P{Wrk{e+ztnAx0D8=cH~*mL2jy05HhzCWmC-xe>3j0Sl^yyuUC;XLyZhbt=_
z_gTK;Y#u(*vo_CS6x8D5qM2ihRN76~A6dVk|Fxw>4k9fGWl|zXM;7jp@MKLJF&>4#
zdm^|BNS1JJDv&{fduc=3j}T%(2sai@nclYO*1?gBz>o_(zFWZhNN{p#_V?Es+|MQo
z`2?s21h;~2yNHlJV1DcG8Um;4S5rn?T&9VR;s0owfY1%o>dfrVf!XN7bI94p_EQj(
zCJYG#0^;9rn*tbPd^!^Su?HBIzNr*Af3Mj8x&tqqLhA3MSARhE#r^jbzDoa|?1BP}
zp_i-*edP^2iug*m7xicM+sHD|DZY4vG-`>I29X3PREtsA)H&Br;XT0!&eX;}P74)#
zQAg9vNn=@%<!JN)E>G`lhs)AZR)&ek2-PlF>beC?#oSnI`>JuJoDu{q`)u^voYYFx
zK|v$!2{^5`tu=Bpfs5kv%?6mOsvK;o)*HLKrAL06iV#LwW>I$Vn~;-7T%CBSAhr!4
zLm-N!+Ivg8Y%V(;Vj>A|=OiCRjarYqd-{^7C4~=P&Tfgf^`IpkH=y6PHOACx=EG<^
zPdXL~akk`zJ^P`m+A?AF`tfpU>)Tm|$F({Ma|*Tx)}1t!B&&xLzUx+z@h5_g*e%ng
z{hu?-2CEy4Ha14-Bb7@eLV`4Ai2P?Axey_gFta#$kD+NBbmv$iT2vI76`qyoK}`Kd
zR~J;!iAT}zcv`e8)WO(1k!G$K&r5{k!CgzRoP_StJ$0`2Uw`%H)a8@Sgl*C$>$r4i
zh#RR{iq$6Akfc3<=5Ts$&g^O#R3AWA7JRb-LW<z9thi3N#=EyX{yQM+-S0Dq-3=mO
zp}!t7W_twL^XmepwIjH^c20}y4t&OdxB~A#zzZ4oJpljgKhkjE(LNRXvnK|(*~S(5
zgC!#Po0N3mg-1~UxD9R(fhV{QkiVXx(SU0>e&BvIn-d=V`BpD))HdmWj+^Jo<Dxx!
zu${+?meIC6lo9)`vRhDgX&wi*zE2Y}hDIML;^9~xOZo)Dg=qWHkC5wjpTQFV8o`In
z@NA3~*|#*;BFm!-$&xpI*R~LWfZMZQzx*3t_0<!1mnRgL&VM1&!V$u72wOd{URe#+
zy`j5`@ny1YoI9h+tNoTeRU$cL=Lg~Pv=512xbl_Ynrb<7r?(Q!gUyZ+{RWND4A8L|
z6@(@3sXtV=tgFwkl`_(uBCX>Jk!G#(C#c|f)J~v5u^lF6Sht37F=8s~gv3AYReW&A
zCvH4(#U#HVTvBoJ$Wn1rN1G?`LsBlK%b7SgMmBsL{LVI&O2&{;+{e+BNv0sp_%xK0
zh`Y0jo>v%mk9nUsaz4iL*q$O(8I9*9baByiI3LBB9)W{@8R=zwbSkZeA}ZD5Y~6oN
zE4^VUED=Nq$Weud6a`LbCCDN`K=H}GJ^;Y0N*!mPy0uWKDvb5@yZ-z-g>J)X5O4%Z
z;7y%bK~9bzu-XTL@rei!xWc7l>^{DGIlqAdQS4U@ylOQ9h>CA}V-zCUN*(c8!oBm;
zVqVQ)`tl0C4gi7KA5d3-MtJ+u7fQ=+<HEwifp4QEW*{6(tjA6Aqy~cH)NTlvUhReq
zYPLFdHpBEhJIPsu$DoSs-r%gX9ZDljmu<GZ*iKib1>35^HqIQaJt_|Uv<r#WaCQT-
zF~buAyH;P($-4oHv2STx)qVObz(amJJp581U6X5+bc`u$YOgZOf{=}s^}rwN1x6x%
z&Fk`zXl&+*$*^l>ZX#Q+SA0T(Bt<mCY(>`P=;xjBDk4_3FSMQZLp3ANv5D+skfkDZ
z8@GGlDGep+kPu3gR9d2@V4rU)7*vR>jk%5#*&IKKvMtMnO)14`N5q}p*H|~F*CT`|
z;G~+i{ovFj*5CY4pK~0`q>4)O<wRoe`f23SjziHAk-gF*$w%~bRp)hUTtM@(P7?u$
zqZX+U2=!qLK#V?%&^LTG9{jd-px$e{85SM^-A=kc!b(5`_WVTh1cU(V_%iQzSm|V6
zSSX$M`4U!p{-HOzQ6oU~GkL)w+D#VtR^bh?<)(yhNH3+6MCNe5M1(Xh%eXhKA%uX$
zID66wvD~lsS<Zf*bb?2H;9s8J>;S%Q3zz`IDI$IVs^<f0k<W0v@+S{02v{gSgS`P%
zwx@ie03#x5+x}O8<?YMi$7~KNSeN5S3=38bK{sta>(Ji_Si&#w&pZDf%Zc?^2Y?P-
z(68^{?=ImiF(BIi+Y1U0#wOUi|7ij8TzkHtVQ_gx0tzE=NL?Q>1Ece&7ji6VS_OtJ
zZPPwjzI0C7%nMh!tx{##@mY^sa9Yr*`I)AxgH3%_<6T^=3=t@rQ<XMdt6Mt8-_XJU
zY()WU8#>4l4+#6;zD6tY<f+tks;8XNolq;xqd`L$w`Gh1P?A&nzx-qY@=X{{F+>or
zATb9_2zD`H*pS-nWF}i_-C%GA1X~w@;<s0ZiwnL6y#p=YLJu8nbe&!32yHH8di(xN
zfVg2>EGS=MrF0)l#45_XFg=xNOD#2|ym%3lD@|ijiHIO^q^)=S(s+iPi~q3EWn*b+
zNfK!39GK{EP^s8xRc7Yq?gz}+v*0CsS+FTzN;LMb(r51&k1-usU*$hU#=B8QNk^c2
zMPUB^%odWwq>u{2KcqDxZfJ-a1&$;1<t^!Y961O<4%8Ez7{){^Cc2|fE%g{|7|H+k
zL~oX@4KiIeXhcYBIPR;tes&PYd@<fZ;|(Bx-AnOn{xy&w{BXXcOOV~G1-J~~IL+Ek
zSA;=<SHWlSKZ69mGDaZ~)dxQu!1+h;mc-ZJvtNPFg`odfhD3PvCkBPb!Z$ElR!YqF
zhq1AT{Dl_)nVo$Hk`JT4vH(--*l_<4T(&^?ncfdzGvP;CxHcZnN64UXKT&*1Y6niL
zhNl^=Qfh*Y<Xp*V6Pg>@2K=3EeqQ#<A0}H@=8ybf(xrWl+?vV`l{VwtCY%j9$@>De
zt!KT{Z`5lTIxv5;YXLZLSiWOYnNJi?BAL}8<NH3x18u#~cZ{;qvRo2M2;7v<CZp!A
zt-EYQqiJQQHQ#$>PpYY2fG`-E(<7p&l)0n(Q)jx_u54+-x!Mu=FbNIQ4nYN&ECj(c
zb-I4?3FYyXqp5f8GO1)rd2Y<yvwcK;`P@RrQG2Js?Cw2GZ%&UV#PQ7lxZkDEGCMsj
zd{|9rrGdZV*uLsGZ|h+!hhi93ll;7;YW~t-7Vn_%!hIQr3c;0}i5F$RKG8|~`<I+r
z=+&P<&p)pP3!UBNkVUV8P!#fCkQ2Xe2h$X3?WVOd#zn)VYno9Xqe3(~!v7X}wdv*M
zWlQ{qM(@hv?4u;*BgRD)LBeOBIVbg=J#izo73+EO3E17vKEOQ*ah)tIEb-hr6a@pW
z2CD#i0JP=&aKJg(u#Mm~<KH2%-$SDaKSBE$VGv|8kUuQ@?$Nb>tC{j5(wl}O?fXC9
z_q%=nvjJFHa9s5Bf?0r+0p|rUHEA9g*mCWB3%Hy8`*iHk5P`(caI?c9LzaK6_%KK-
zP?>h#i^oSPvLWOBfJ@q*eneuE^h7|u=m?KTaH9SKRZ$rYNrukAXL){kAkEWcg+C(;
zRk!Uk89K7s1JdZO0DWpcK7?{GGRF+nm^&N?HI|2q5(0T#ia3*O105_!388(NxJ@|U
zX)9f+{j>yIlBxY&8L;u^daV7Z_~NjWmsU55xgCWpx+^oGj7Y}qGxD)aoYve^S_eEF
z<k7LX>$Rq>2B}NogatB3&!|1WzhOD`TbY<_gskw`!df*mruu@re0D>D##HWyB9U6s
zm=e}gq1T0JO<&!f+ZfrQ>y~%Ogzl@#@Tb4jYakN=eSZ7*@^PZfta;C)B7vQI=i7_i
zL|K}-YtqV&k3)|^0sVooa|6MdR1ow<zbsXiWel}=8T!o9HMACFaKodOz`_a6GvANn
zoBnIlnxO(OqN8K1n%!FJg=AL;A@AJCjMk2!ncwW;6*x9GEqh%7@Gr4+9|)OyWr+4r
z7IdOj)I&@5fLHVr5%LM#@T6A`{HiskMn)SyFX1pp*dW-iZ<HK2L59}%nHRy=?=fo_
z&bVMd;U!#R={U~}oQ(#o=6?aC>dLa&_Zwz~=9eeH)Bp#tz{6sqETlC&f&0+p3$&`S
z9Q4ngWt=HPB?9`YLrL&mF(?XA)q4CR$}wWETdbUl((ri_k#R!NV=?4O(XctOM*=mE
zo_!bo3X(eZ4vF3(8ajRcAu<<NYQOh{E1nZE-JVf$xTp^env4&%$KT6+N%^LIPMjHE
zN&|Hs$vpSX>k%#I;1It!hb)B<jEu-6RI0<HqsP6$L)lwR*LjAkhc+I;GanZ?D|M&u
zv@W<4yXRbUTWK=CUV}xZnd#Wt2V<rd0SW;{18;ox5?<O-K|hTKfJ25>*XJ3{t>4oc
z3KpUu(=R~?S;)W(`upd!v4Gg=>FJ+E3z=!HUFYP-?HW&aYy;Z52U)_MT)CO~-}Ogy
z*I8b?@fyOpHyHb5SLAd1BcHX~*!2_Ar5pNdscMQGj<9bZuL$<!gB&bA;61eR4b!dU
zs?LH@SnbZ2)K|zGkH@gc;EZ9=4iX?lUrep~_x8Var)OXQ5?-ZV+hJ!_RfAgF^*kjl
zy%!tZ9#wk+dMAu<fI6taY%7+P%ziDxgR6GyDna`9TR0GBQg6V0LJ8<O{s45--uvZQ
zuugZs{d@oRQHa=mt61-wIk=4penSbGygC8Qq(&_W4FUi=Q3+UI`GfcP;ch9X2Kafg
z2&B~Xxmj530O%48<Wu1F3_<3Ak_ab>N(oRde*i5i6Ua|c0f44Or|6&A7lC^ur#HWP
zfj=4EksM2+P+OucoCJLSGruiOd`>k29VG|XFgE&xsBRt5*`;Dc9+pp3dW#dCOlMCd
zWL?a15XnMPW}={L*=Fdn{`Cjz6ew{zT!0n_c)*ySvr@>Ue7$ebodP_xlxyFTdtfgq
zGEi|b$V4Q*j4k;cc0nb~r8F&0B;=fJ<le*12&IHcQ@-wln7~$ftAs|=BQ&t4w$qI>
zom-Hr!eCa@E%gaWW+=@-P#};9w8*Un<mh~K@$Gt84h_#sqagCbh?J7_dhVZQv?3+3
z5&tZXb9eAb;5v*b7d?T9mnwu13xr+7)J~;Je!{eZK`1Y$4b__v2D?6z0%=nH+G%;b
zdkb<kMk=m!82YCB%H@yl0vgi_6#+YpYxfTtu8<DPC`1}$ZnMo6P^=gE)ltV%LtcKc
zDyOX<aV^g-XfuiDYT-`Hk9#+d=)(CVO=Ws!?6haW_;eLi_>tHL?tY+QnB?l1`d<l<
ze$aCPh=$SfiZRh7H7$WKcxwnqZQvWa4SRq=h35J|P_L$=o12^Q>Yrn;?Z5Dz5gb|r
zKeU6h9q6HeP7-Xe=+BoTQ(>ZDFx!K(5)bm{=H}FtmA~IVfM-mJ=?4gZhkr#DZy)?A
z;{P0Y4MeLT8@c<{-(YH>FRxzp2hJ0qWwi^w0N=~C%&Z2ET7qx@{@4Upkk|~o3ASe9
z!^+P73Y<Xt0B)}ECq(P5d2|=tnxt<k3*(D9Vo0OYdSomY%81OecTANmT}*M5rzNM1
z!)1hFb(kxpOQ?iBQa)ho+}@UyG8X=F-t0S3L8o0LHXw8YPYU4w9Q}U6M~b<&x+*+J
zf{wi3j`L2^0Jquvqn0J>x)@-3iY$^Jsem`ls6nJZak|!(BBv|}iV8tlEM#=Rm(oS?
zWh;BM=hMt2KlojL)(Yuev-t)l|5aeJ%{TYdwU7+WFR0(mxm8;K8JaL10O~xy%gK%Z
z@3Br{m8CY8I?WnoWn~VqpP6p=b$)*{WMzb*q_ByWCt~Vw?TFH$5Q?m!d&9Ju6Vf4*
zg3LE;jC-v+hkuS2#tlsk;icMZ4P@2NEgNCEA>uMGeLdo(wz3&xFg5kf*WATONmr%B
zSSdGR;1D%bq&)!Wl4yJq$Ew1}c^@z#rzzpjWapzuU6fRPlNTTuR;r~ATIv|Hc;@3=
z1}hl8jZF+E3FQm+%4%w2dqi{cQ+xkP>mJY~hRu$Ndpca;i6UlqlX~#DY<R~StWVQN
z*C3+O9}X}C>&q2@4Rl-o)dNN~_!9t6t_1)CX^rpob|R;6L++^7E<xb26veMAkUv%M
zHP8-ZseuH%4i_^3^#V<ZIzZ04ohndY2Z4j|rW8Em@hyDbQ6Pi_x&QI?)j8nS&-x5-
z7v$aD?I3IEnBCOsJ=}v;4Bom(3OchQ2|V@bKLz=0UTa_@%!TV~j|g|t4na1~-uNxt
zD-VBkMb?MzMyN}H&=Uk4;rB1e=cXyopOLJ@Slc-H^3e1mkL*pHgfg;k1n_c{4B@cr
zrDlX?d+L}Ki`tzhWE&~23Mxp%yug=yiN}MVYm74H20WfX**bY}Ws{)dM208<U|-(7
z^<MEKg+%R0j3d*@-P`H4vg-H?cZ>w8rq2Zh1w}+2eu{koB8CrUVp&PL*DVD)B9sLj
z0p`ky9Adb1T6Z$**~*!5Juc$A65b=9M0e@t@;@BL+n%9>NOI*ipF3I1nuv*sy+Zoh
zK(CNW8-u-@YWt_~s6aHxkcT|i2RRvWNWEdo_)%;OJtAc(x?i4sd*vDuE~Rg_AoN<1
zDXXu=5v?4vu0Eza|3r1n4n5YRHYo}fl7Brs&c2OV$mB-Z)W%;l2f%AP^I-bm=y+1q
zzWR3f<izpxxYKS%V<ehwiw*U!kN%28QP~!LL9Y5Kxowa0`#nFS1fb|ZqQi|GyGGQc
zHfnA>iLNQJ`0#P!!2R#nzYlNQw1WOSp&sOBXWMsffFTK(WvSijYwC^4A|wGUD{RoC
z@H#)??M-XZgY!=&G88Q}-smo`Q{6Q$EHcaK7u3lmQsKK%oK+!Dbfz+bqIfJLlkK3z
z*~=TF@x_D+NvESErMX(0iY<;#Ng+2Q5o2g*z6yNGWN+kC=Y~uVU**k!!y)Krys%c)
zVFK|AK>55Ua4Vb?DMCQiG{j`cZVo}DDKPoY&;LmwYr^Gr+j>v_aZ{siT~b<GQZ$I0
z5KX1+uUs5Nwgh~km)6=S;$aRYpZWMlrh$|TR*7SDNV+G>mq!+*#1KX?C%Ja}JP|HW
zW6mS8Asn^ZY64&fa7M>iW8q1(&RMeHt94cFWD$gDA`)^R2^Sd*O)&YHdN@sdAh%z#
zh2qv1laxHUMqkr}Hsu+GFxI_ZnlO-PhQ%#WzQFwGpNir<^|9N-E|u1el%~|iAWH|T
z0dmaS9~us&=xA&SW`>;1K_z!Zib99d;9!qWRI~0Yp*}57gAJ9Rm+Xw22$M8dKO@AA
zdU-rw0*{tK%m4gexv71kw=Qdy<l6Zdk|fsY7n75d^O#-vL9tr54*q_FaU})vmOShc
zOp-JjwTOU>lgBH%n3c?0yNTHmwY6%mHAn*r4CvYTnW^pdCjou>{I*huPt&~g66p7?
z(eWYl)2Wm~j%_Rl<{TeDz;w59aQ-$&Z0XQztbiFAh;#uVmn5ysVw%5<v)2t1LMltb
zq4}LLWv=jBsqeAWj(8Zahm<}tn^Nb^m;xZAT+&tWTW5bKlwpb9ux#|Ho=wY)Xq&)7
z1aXKYWT~a8`!E;i+rNHA0U;nPQ<F!)Gx3MulIpiM;IZUiBcF+NwrtDJl%5=>+M-9z
zHy39^NJjJ7ujJ0{9QKjcpGI>ULg%niCX}h)m?LH*oj*o1vaFqAu-ns0BxY)nAD#S)
z8E?4tqj%G_M%&-g51v+1G>3I^rmUaMD~Fi|DQ+jH7hX1w2}|>hs1B8xMjEWY@L(l!
zNRXBX!*B6)of$rtEJ~Va82KO<JZ?O-KH~rG!WY{z=<hD7ojrDFP>dTku)7xxzR^_6
zlq`W~D3c5OzWHpb7ESbQd77s@iz6?s<vXK=ZJdi@wodvC6}uu2&tAN?1Rq+<jQEdX
zL~1-*kCx{Ye^3<gE<^0Z@k(_bt0`f-@CN)AAd1qc(FRpRiFy~U@v<R>urG&w)Bc`6
zG|JdNmU6#4!gtU^`R?fMkn9%^WZ%JD^316Og*9DWEY*3NFYUC4|I^DM5V1g#!16sS
zM1BIrda=b8<3R0;2VW#kt0h;3Y?0dS{exjc=7e>y#!(Ogwwt3P8csMRqo>gUEowTF
z;xl}Dq)g1iT|Bu2k|)HC<iqxd)?<4}l%6_|6gIFOV2IR%@n>1hTX^l)s~0)P+PXK0
z{?Q6iH~M9-Bu@<+Zn=9=fAauov}j%Wk>BGRnrcgJh4LI(`Wf`vcjC&oo}CbdXxH~F
znY4R)I3dzdh&(PtkPe+k>by0j%mgL`dd0p53;%c79h|^r_gx8{a-`$k^81t_bi+K{
zaSq56!ESENpT8y%A4wsZh@y^*YqK6u!Sqt3-X&*AW^yv#8t|1pLRz1#n+>~Hj(op3
zfGWXiz~d=Dh#$iIXxw60B`Q6up;5yl_jO22hN_qPhGniTXo#*jLMSV~2mJ-1b%jSN
zvPVC*i5lMv#Hf#uI><O9Erv33Y?Iq^?L$Kp+?3O?X&}|-pUpqSM1#R^Q9;4EXGfc1
zgLiMk1323Ie2HYifI@h%%@OL9;3F~+=H(FXwf$CI179$FNk?h41jb5auk|{S*zn_v
zT%$+zXSD-0Lw$}o9O~Qj;rS=){>QZ`^vTo4o!$}Dc?kjB6EQXcK2!Mxm%35vs@W!q
zdg#doH!nFq;mIt3D6S%L^f^K>LX>M=7e4T_Ae1!?i}&E@8b;9xQ%KWcJx**zrX`Mu
zM}cyTI)^cOB0`7-sSq@Y+hma-H~u0R+yB$>t9iUlj>OP>d!oDqx5=Ax5UQ#HNydUb
zzKljHt%Bv4oANPZi}N|r<kz@b08c&7Kk**fk3LX|jY!1jCgYu_#N|N|grTA#333X-
ztW7&u(CDqJ5)Ioe#SN;Qb_H}5F^~}&yy{k9Z<p*UhT0h9TwdQiu5~!Bep(R2%59xP
zX#RwOsP1n2)<A=P6?e)(974!`A}c+#^Je2bF>MQD2+S*h5HmH^YpMmfB=!U@SlG2w
z+c$reW9&rQ;Z)0dQPkrsfPgoxk~_InT8Maa6*X2g%XuEYn>uukU0@BzUABj1&9+R-
zuAq*)M+}dRcG~+UIZc~UAaWx-{Be$5d;Ge|pTAieT0vzWciP#SxQ0p95E)BOokSMQ
zr@c0dx-ak5_WVreSC9|gZBxo1VfwFQEuT9?u`F@%>Fg6T5JkgAl)1RAi6&TpEKeas
zlo<~P0u6zwNKYgko&4`YlYmSJpztbhd^7d<AM5`&_IKdLWq&1HQ<Xf%axDtN7jyRH
z=!dSCCf4;yOgm^ngaf9p0#{r(SH|mTV)-z0dl-xXh;Xp2&@`0rAwU1N`W#7k>)P!8
zEIP{f=??%ht|kSar;_q8M5N%DN!3^mD|3AM5Im?v{UVMX>03o60bS1N<>T#fLz>bu
z7CP!@aUt?J5g~Z;@*%XeUuGA-JZufzU$GtKf2JS^@LxowEs;u_y=Fq|Ix4*Ho4YsE
z^xJBsYq#C>@G^j2Zk#P{?eGUIH7rburiC+I`BOEOGhXS(u2r@X$7P}S*R5|F9No&u
zaLrj6^l#~SkI&hwqrR`+)m;dW-?Gn8d}pqX(hLq;fudMLUoT3IVfZ9Z6B83VIy+wv
z?L4@GxbJ6378ynQ{YgsW)?BTuuLMrz5(`g;pPI>6Y?+k4m<mJWvuxAz<zT$FcvU~L
zX|SyUslL92azW;8BEzxA>0YYTWIxa5F??(&Os(nA?=YCVS4N&<P@n*5Tj*>~WqS(l
zjEc(4{@Bd`Sby2F_NtK#NJB$m71}ZfmRkc|VusM1HAmSL9es7hj<sA0pGS}!HWQ<#
zWIU7TW8Y`%Z4nruqQ$6?o<`;hdv<?GVC=_s7k=Ic`vaKFqKbaWRx+TkZe~`rheS44
ze;FcK$uuWdHeRZcBAtx>PThu}zD3u{Un<uV$J$HE9aB>82_$ndPcpa?F%&IAT4rCz
zpgFl<i<nCq;V^EbZzprK4cR2qDV-)1K|Dszzn)I!sf)MI-Sp+WvM+*51}kyc6w7iv
zb<~rkpe;TDfnx#Hk|P~FnKA=3w=5cMTD63J(L<wvbnv1GZKoVY30=BlsdSHHFdb+F
zy?H&}QZFp7k%KJWp2?fOSDLbLLKGsMNI66;QppPw7k^610V)3VJ0}&F_noInH=2Ip
zntL(|b=}Iy=72zDNPlltF_io$(9@HLJc&XAS~Pc*c7MeeM?KJcEE~q2ZugA+8JUzV
z_14Q6Ii7>68`;p@p)lSp^=WqB=}8b^)Gt~Q`Q*5_9!-md+7eAiMFm6WYXmm9p!))H
zTE`PR%`UzD{USM^GXRsB8bgtb?#ht$k(kDrT*Wi{72hE%Ln+M{jc$(!<ss@2v@RHZ
zXqNtX>Ou1KvR}aKm)?akokE%Bw&8?)*HShH>4V4#g1J}kx$u1Mg>4_tBeiIhS&bh{
zYvXn?DPd%gXRXU{;5#aZRZ8_{5>L8PK<0T^hlib+hyH4QGf-|LM8X>x+&+YET%4Tb
z`f6p`KtseuceY#q9zgX%ex;KW_zZ(Ix0Y|^(_4zH=#=tElu)lPe)h$<XpjuVia(m0
z%$S-Glx<>p#7IgF1&H>bu`TpX+p2v`U_mQELk#op6wb=@TwluHC3UVjB|Cpzm5-ST
zAkGHgG7yTL4eZ^#Ik0WeZ;+od+;pI|zMeKvMn%nDaH@Fr-9S`pT0N7F)r1?|VbO69
zntv{!HL}2R?mhryiq(SWQC?0?uHx#O<y?`;XApQDrI^Xt#{aSuLT@l=QAroaX4rd<
z)G&)_^b}G&9Y#m4`eg>QHJqAN{YX(-T9I<@B!Tlq^(YD2uQF0M<rixiBzQCl874jM
z#<m#-0+b#WDPP(NFo;c}Sk_Co-HfyvG0C;aA#$JPED$-;+)Q{^HwYQODeSeQ_UB(U
zST-N`TnuwhI667~K;AWAV0mKo^OfvJlacFZ(a{uFC2o(bHoSpQ*=#4mq6+^;*6WJ^
z%V0XT{WCf`NAg@;UMU?&@q5XRaY1{*=|fFMaYzO8nw$z0**aL+iA$SqmqCM@-c`c@
z+WL!Ki|;E03K3u|38W8F@mt}44mHr%H|8&GcSU8t7Uxdi<Eo30)xhiV4Ck_D+OTnz
z^I&*#`OnphAa#VkwVlZ=%Rv^*w9j4L-0YWIOPipj{ju*CABs}j*Tgg8tJ@@%tRcok
z#QyEW>|o7G|1mSmaoI%~`L!Ic0Xg?a{1zdf7n)8QiVl-;cQlzSe)c;0^XdngSI=Qy
zSQy&4kihwHYLXwwB0SuNCV4*+*_b<6xRUdoqLo86n5uX-R<*v$bCd2q+PY>LHhxqL
zIvFh6V0Wg)bwf)DQZ?yUBx1ytVDzM8S8`#Qk5OSDTP2E>(@|22+Y<<weB5`ISiV)y
zB&S#SnwWBrlJ+V%NOzioY{f{fEmJT!HPq7=Tfz++Jw54H_9{9GlI~t9k|yE<=jggG
z)NHso&em(7$6NXuv-Te4*W}9OCIJ+k5YjcMk_-vq*y#_^#L0>2Md%n`^$+jAwH!N%
zjb@}&OebD4BryUS%qhXY;%W)-*Ek~C>a(1sE{EVD2ss7KsnOBVfq`RC#N@nGpYZq5
z%aJ1-Pv1H#v#3SWQ%#W}YtVpdjhFthe}C@ev-PF@DYQCdJg0>=<&m|i9%dFfL|_^*
z<c-*<L@|uQE3^j@e>`a3*+6qpeIlClaSTfc%$hQYD#ZcYJa}P3o|TRE8PlbB6*-so
z%i_=jU}Ee$@1aq6NhU(SsEk@sjBBrKWo!>%48%!eNq;;<Xrn)@tW=!(t6}NJ`qgNw
zTk~Fa<L1^|w+kVMJ%68kfQEHr_!#d(lpujRi7Pq8S>9>x_y)Z^X*7Ea|B{<{$g!j`
z`G7KiG&g^<(&OSjm=Rwn44o!L-o%J@MUO-OjbV=m56+w6^Wrh05XAFM2|w*($_ieH
zxOO~}jVcuv9j&{{((X53;LZsO68Uc#jDS43+z*eIrUuEir4G430?T~;GG`3kz}elO
zCfL0*NE6k1e(oi<L{6vlz$yjm&o6J}QI{u$r!!uRYsN(47qecWwA7EVyqK5Lf;vtj
zK#*bLJ~?#i{5mpWqv=iJ&{ECubiG{-3XG^@PAx{B@~>Qp?^#jKXWWA#dT(R}$G6C0
zeQ4PgSPya<Pg@k)g9Jzm`Cn|AZp>m_#yc;GGw!1aItel1qj`CI2anI)2DNu~0$~)O
z=mL6}J5t%!%M=*_epZ8Vdkh%w#+)8UHvcYBLnt#r^8FwZHyX>c>~|Rq*)csPiwHD~
zUg^=3dc>562<Md+zJ+V^^Xf)M0f^lOnL1ipW$B7vNiZ(6qv#PT%UB_4{!$H{YK#}9
z4%M+R(j^ite{Q|t1b!aNwtIVygSA!uLjRK*Ilez?@U2;LTv_IoC_RO?k56a1`xvIS
z;%L8wQf4^yhUt1PkD-b|Y`_C)IU6(QD`~9(*cpEhl08m}BqX#)nw4=e%s`=mY1^&~
z7jj$zg`j08^~6;s$>u~tv}5ET^HQhh^Etf_NXS2N)wRg=1`yN7Cs}qcL(c8e&BnP|
z5O=){nJT;Q^TicTG%aMa)fs`kiGetwqpeMu^kYL!4Jv>)wYP&DV#9sC#|yr~e-=Ld
z?E?Xnm6d>m9UmXRf34E72h7d{a^e=DBksB;`sK85sLJrf9Vq8fj(c2BdMX_%9Y!si
z<!Kk!*0SavwN&6zQ<qjcpbvU&{`v(E;ykhbNi)B=xa&vWCW$5NQu047fV){L)NY*a
zr%Zpw>%kc!s+@^$hDsT6EXF%j720vvs+nt;xtmsoS^~PQzTYfsw@~3%5@j9h0VhW}
z6r2}`qZT%tq-M8E%bCrfUFMF{ibM_Vu5U}q<D#ZuL$Y#-V?oP#1>}vt^E1^UmF~_y
zo*%MToQl#fU(<=3)_IXhag<FDk>^&jFiXEiQe+txkFxoQ8%f&KKpFRo25lZ6$>=an
z7#TuGewe$eyT#OQ{tCx`#^0=z3N3RQ$%ei(?>I5@wNwrjONQ!~i;F^iM(`i{_)#bb
z>*@{X=<c_lKfnJ86#cxm#?QsI+r#FY!NbRmtZ|4;VjDTM1FrB%@IBtj@-jL)dijz=
z#q#lSb$ZLdfa%%|xMWx@XB0SgGr1W6CLXF?qYZ;dPqhH-&YxgD-Dk^P2sY%a=_JV`
z(fprY%rIY#R|_)ZqZI(OOi$z6uXO)BaVUaY>QJ>xSvxyBmZuy2&rKQeuNqJN$RX*Q
z$&JQXDoF96=89eRC)<2F-qhn3t*wJ))#c%<EOuIjYvnhGILk^b)aeU&0^M7irzH-x
z?&`MCLAn0%GJ^&-wp5E(%QhWMiWXu|ejo?&U~6la8$Vqx=eO;^baEL8L(8sD=aO*T
z4wxQ4!9X=VM(>tPxDnhj{u~vQd4rQr{%ZLB&Se<VW81mH0%iKgkztyOOFSDLWedme
z5<QOcI{_k}kMAj3Bv`6X`oh&2dFawG9sl_#2f@FiTbm3`Wo1@-qY3Nv?>6hLdmh`4
zDl%FZKCNx4GwSjDBIhxH@XtGUe--rh*BHl|7f!QK0XN7|_c66TEQS>-=jgL^SWn=>
z2anf5Z#8Ssv9PetwsN>WiYp*tWBWB4tMn+8(ZrBd2by%Nm^KZCg&&@Ei8<HC#$`%o
z9<-y>&WTdda#_4+8!wZ2I^lR@L%v`$qE$baJC|OMBZXSUUK~qDemjp?VYwB8c$wX;
z_7!D3pH<0%(>AU?GB_pDL%nEWFX%uq&cK=fdSi;W+j!P3pQe!U&w{nV>dq|9yjOo^
z<sst%w`q@_L8jNQFI8CR=-+?*$Wo;H{Da5}D1ZQcMvnc_KigXwYth`-&0akePA;yn
zXiY_Fz;RWhPb(-WXcJCWjzMr<QW<}wL3RbYXI@@jz#ipvai)4)(RHzWCq-(L6WQWF
zRK1XD#cLrZQq@*c))LA5YT2HGt2a9p)yGWB#?H>Kb#9uofpZFP=<p2M%3Q|J7;-rI
zocGU5>3Eq34fV-Xq@)d-r>WHn`!?j0_865cuVtbX)bJXc-b6!<@WcP;_qSH{e}DQk
z>Q|hzPm8cnChE8_1RpK(OR()2nY6Qm!`+85QTX)nq`q}l=>Du#P2@)V-?!cU40Mh`
z`<0xORJm#?RGg9!J!;5eqeH7^8SLOb=O207vq%UD0d90){?jLC16?1VA3)*&Iy$TM
z2I0|QymUWYXw>0+xAkM7Gw|-Jql0gW2l$2O1dsCJ$|(0~X=<QL^tlK;Z(oBWBc-Wv
zVx-~uq#zxl=Hm_!OZEVkD9BfK*$};1)&kSa&#HbAQggRmk%~26W_M^DPgfg2{5d2<
zr%v|)NZ|@EJQH<5{~Qdy+<oJcw-I_2*->Y{bCFtqAW`}GU?Fy1vQDC(znqKr2ck8A
z*vLcx>GGuJnyHu*H*B$<5)S)FBtS>`xO$k}L!$0pb$*WOCwe;KVHs+1*VU9TS8XTX
z&mhcfo2UDf&nI6vOkQUTI(t@rKSV=z)=3}Fux)1*Zf$5dw<p!koUt7n9i2RA(Tw!~
zk@R>m!{{XE4F8mtkol#hR;M+#C7vG}lX6UeRE`%T?c{W-O{UZbg6R*Yvam2P);s#G
zCsN(J`+$4CLMaQ_5kx>V8IY>~{RZTtUVYb*1g1Zyx#tjJp_!SPfG5QP|A0W?vOh4v
zxrng<-}G4q5Q+A}bEi&vwmyFB3HWhwV!d)y^lIzJLmXSr_>Tv0>K+&v(5#7w2GI&1
z;Lt)fi+`@K49(^Kaja~aiHS*QqSp6HB=05Eg~N;79@*&jvdXH2LzCNGvQRDWbp|LU
zN9F=?psnC^i*<8DU;E0r%gY~aT_On=jn!h48FT4~5Twbck;(F9Fs&z0!e=$iYpF<D
znVtuV<}&0uitRcb!_u12^6!UKbxv~I=`2kRZ$iv-ALnWp_pSrqtjktkcU2Wb))d*V
zAXF;wJa!uw29^ijY;0|9fnn*s&j9tW&mr&l`+`Wcj8<L2EY{iCd6Jy%pUvtH<x;rG
zFi~|YngB;-iIj*4@S?Q5x&b`Y-QNBf%*%kZ01zrRM-xauQ6tR5^S#dO!O{H)h_M_u
zd%PkgEr4e5bgk*@*RQV*GW3Lmgn%Bm(5}$W*8ML$;tTE_051a=_X1hpWCk<Y*d2U2
z28WZzGB*+u5v_N)7}2M7pVZc+Yr;qQRebM(dV#bQ=Vv(hRine|lcCwu_?QYA8Ch0V
z_V;^2JvNlNbUHHWLYbjpO$40l*P!0aLJFfUV<LbCF5|yJdwkZehJJ6=F@DjmiXNjJ
z*V;esq^yH>@1W96PE1Z5aE|mK+exRiS+Pdr?pzh5C|j5Glc}*Uy2w5IoNGzOs5EoQ
zQN`f4A-C&Ld?*GiN#LaQHHZfMsOILBSyS*$9%8=XO`TF*S4Z-BF9@i`?gF=nH<zvP
zr9MeP%$hkrlYWEM?v&r&-eR@9d;afrmIoDJe}BJ~l~tPBZ=(Ol-djdx6?W~S4=A80
zAtES}3P^XSfJF(?NVkB1(jcV>s0b+Ch;&PLNl8mfgEUBY@43+T-QS;m#`$x8o$YYw
z82a$6weEG_Gp>2fd98vq&}3#2`GO2e4~jc7WFlHxUXCe2U*DgL6NRDcDBbESd*_@t
zn(wG)YdY=Egvmw6Xp@PG0{`)J%}4YjFEGVm>Vh<Vq2u~*oSQr!t)6r7@bq_gLzNeq
zRWUj$tb7GmczBA)BI&LOHT1O}u|8!Y@@<+rK0f|5qF3VO!ON7`rp{hlz~TFq;0h@Q
z>V2d_)!k$ds=M9Ku{=IKy3~vMQgbWyuIe>uLR;krD6P`_<aTNRC|#ZwF+Yj!Ub;r~
z&4`Mw8)wB5k6D60auvNMb&TP&(Ux&AzFtW8kEnzffu@nG?B!|I)z!tt1Fe487zFb4
z*ES!JdYlLk3C4E-oa*<0ABK{ML=O%bnebN~zLAko&k18DEcY2B?cIJvE&eL&D&j-h
zF89$#Ty<C;#rqxX7bSAM)q`4FkaKsgKKASoIs60de_(9oPTo)PbqZ~^9c(W_F3%W(
zjhfzcLj5XvIW^re0Mgj?0r|%5ADX7plommRJjT&;-LWDgV+o4<D+>#QIY%cRS8y4J
zr|_?>84kf>J`Ls89nM}#KIE08C(I9Gx=bm=b-u^o<btCIC0dPyjgl2}?l)#^J<-a}
zXvIk}#o!(F(I-}17d%kd>M9xICLP;9pIJM1SFjirByRO%U-CM#y=VNP;(=l;&84zT
zHvD9!Kl;*%3gU}aVOKGw3XAW=JoXW%LVdFkynfj%a`vza|BcN`*-Dk`;hPAH%XUd@
zl$%9AmRg<wDv}q?xZ%R5WyKMHxc@HHs0MW+7ed}O@@e&&X0Z|jhG*@9)5@78HIz~|
z=}?_BeoUK`NxmXTGcZ);Du`mzu5jE?^(A7C)U2uA`|X>dnzORH8aE;uA|-1XEp#1Z
z^WvnEaDSb^<W{*c`~%N>d?U{TB$R4`7Jz8^wd)y67$YxFs8mwwoKgOuA;$vcO?@$}
zbEa9%^4F4GC~z>IHR~G~9lq;|9Qe)dt^}s5A3Y!-jYu(6tAN@XE31T;a6JeY&;N^v
zp?zc?;Z@0`V3tvjwwE)E_lPZg2A{b1>e;_;3KqY+6`|gdbgyXq+&M6dI(T=Es7Bcc
zYv}s#UlL@FVBPcv6szozYX%K<uGvNOO>^R4XxJBz8&!4j@^s&tQ*y8(R8gr)3`#Zs
zHc_aN@<Z3e;Gm{SVQBenc4rde=(FDS=%VGt#lgwaEaiyn)IkdMnl|kK_e1O8Tt#tl
zF&wkVUvB9V>Q|Ll=XIBZOo&KdzP<fphwmPSP=xV2*uzZ&ZyA$#p8t|3AJG=S-D%(v
z&4_mw^B&a-9)_V?fNNkYI)T%xeT&z|UH$@0x>70MuVY<V5Ax2up7#+&Cw!M_O|6ZB
z$4E>uHVtNgQqd7J`wYrRYN_BS(nyPa){}B<+jt^p)*fknMG50vq=vOCD{jPB^*QAa
zBJ&B(uYOQufVhF7H$DAl`U!M3d85J)8fc7GJm@eIVS{qkY0T|a1e?n)kLb}u*|Wgg
z-+R$%wQ4oM-+!n`Si6of$z^<3C?`HXK0Dh|DqES^Gb6ucm$P)e7K;Md6pSjFB|y8q
zQ{>L|Fh3ycdCDb7w-Yd~$O$YY@}fn{V17uTa&Oa9`FvlR)K0m1ljM97eR0<)Mh#~B
zAnqkwm9dq~ilk4RGlI{Eon)vOFwkw&ei9gEzeT^7WIF>8pjs_T6<tiKH$2eJO-I8h
z3jI8d;)6>J5nW3XZUVOgO|z&v6X^SD7}6UlSPbxkISlzHS9)q^CT`!wSSAQym==q;
z^uy%=&%qbTUNzG;_K(NddmpAzy4M@Igmn?qfzPoGFq&_}EfnO6FFG=~EAYjo)OB>m
z$HqjQJP&SjI;?1-egVB>ItTb)6*|&(RmU4Mt-I##+kL7j)DdZR&y57N=CAW_d^Wh=
z*nB5W2uOGGb(t=S<<EH~ErZ#^c_OvA>}H;Ill7YH{*umn`i3!%5lf7H=I~3H<Gov|
z*si_4PYLmH*0c(wn9xysEA+M_56Q%&CUEmhH@=S1F{IIVsx;6#I7H<$&-(494hS6n
zK6!^(Mf2fHjhNtUfLh+O^bfdw{6ZH{p$u5}vIWw!J)7>%s#CWUtc8)uHadNndHeny
zmwPM%CK=L-)kDOBsJP6|0uwg!?AN_pU4w&zeSO?scks19JPx%6q&(V~$8yizPxj~T
zuzK*yUPWPIVcp>ofcz%L;jyxa;{2}``!Yz-L_S<MU}k292CAk`FttD$VAd)tpe4te
z=C5Q)E5^~t_ij^n$|4eD$EQz77!Oy}<yL2&{7V0NKNat0e)rSc40^4kZ+>i+c!u7?
zMfFt!<Nv|uhou|0-3U<Offv5e4+JKCyS~}=DfND(o;0C2he?LZd#}qcaMTHEo?JZt
z$$j7bQ(DV~mWPV;jUfRj^^YIdo%!{WD>C+0r0(^y%1{$TZ{i(B5FqdRQv%cHM@(wp
zbUUK?$;ikc!`PhbT!qYc=yMbdt+|>K=jKcswExFMG)jgx!w>4RCr5LlqE4UOp(Pac
z0{UVrLAbgvREfcE&?syf3Q*XJkqk{LMLk~0KZ63e8r9gYU&i!=@h%b)5_NTT{!@JZ
z2H2BI-@b}t*E|s;-bUjVq`ahACbD>qykngYi<rhhs{S5F5-*P0Xq7onX*r?Cy;y@n
z)5<4Q=62(gl+<jPtCpl6zM$WtAQ-G5va)xU5?cJy9DG+PH8Dv_WRZrMgiswr2Hk)X
z&4aPJ?TrzUE~TA1eFRQR?N<()Yd^!SsaY>*aWh@^634;8={b-;10a4pfvFJ|!w*?c
zI^9n;Ay`I&1`8O@M8wPx)@oI`-Jg~c>kO)3A`mZM#rlA#_af8fA)IRsV~yjr(&i%_
zt8mI!SVYuSLFUU}+xy`xvK@Y25aQ<nsCQ_{xrII@+GV3TCB}XzkVe|ru3ay(F*sG1
zGK)KLD-<muV?0t&-`>zED|_T!8@44sldi937O#A_nYW)muS9DR#^YfNW>W6qP3K!H
zcnvXV7cYxZT|j-Rp=QGoLaqJmuEmho-1oLcg$FqI$~iyViL!A$5?$q^>3QJi|CPv~
zg|`OpMQ4^^vt)F*WOU?5*7iG(joW=et_UEBZE};hXWIdPW2~&a931~PXo1oa`Bp;H
zPlNtCNF*MBOs%|d6AQunkGs>+qML1;NLTt#(3FM51Ilg?`p?5`YJMP$C9@uT3KZqV
zuskZ)qi6$4Gcl7I3YDRfb+Db|E<C#M>D+a4^06{IbAH~&yYt=ml_<S1tCC4E<zsj#
zb|2ol)i=FDfIW86Rnx<p65|=Rx>}+}tA_c}mAk!3b+uR?1ea9RQfm_G8kt^KWK@{e
zL^D6J`N=SEr)QN|UZVFaQmfX3UYh&lk-YJf_Z+^L!?nmst`VUcwU|kI7+x3M@4L$S
z7QZYT3;p$io9<ta-}toPSyz-*RVj4)BAdP^<`VzYXV}90-pX@dAx$^La%OmT?px}0
zDRV!98|Ttc%(Eed0xDN-J8O8Bn@gVTYxPTFkYCj#PBn4*&M};DlFA~CN<uL*sp(N&
z44+y@4`?{n!^1g$mxiXtr2)le)!Sco$njL-^F!~CxVY$I`(Ng^1ZZe(Eq3drW`=sf
zIZQTHahRe!ySwT6K?uj-?rvN-|5$jtccH_J^ghHD1{!dps0nUlWwjgU1KO~zkA|va
zdsF*msmxoC&vUr@K|Xq$=}W~>{ymxZ*h2)|?=$Pam!nHZMr&say^ciRdeUjOjf=;D
zPsJYEM}S^(-u7pAjYD`y*CNK+w@3HyrT-9T88Tv4F-Aj^VV7kaWnYAiqMS9Ba=88%
zgO4zVJQ+I47H7hAM5?+^{CLOqz)oC3nfGVL_xKz0FibSFcNQ%}Oy9g*wR$J0*@d#k
zrc{P@x-5Ir2<@)w<9Z64pP6ev-;IU#lU!mlYyOHUf^tp`Q>!<D>Jjb`ZoU?m7WqWW
zZt#=U9YRN@&M9?m*3Z%tZx*D|GF3Y7dKllo_4&Rp5kPNv$LxP^YDygPQ<$7@1)OJ4
zYzMgM<m3ceXR%Po+9B!?5i5UwblrzIB$rFp9MZby&(EW%>gVU@CnhF-{ZhMsVM{9Y
z9_s%6uXjUx7C*>)wqV`8+Z#Oh)fk<6+Zd3ag|9Ry1M3|0>PBh51zC)&e&~aulMmD=
z%Wl%o1qiUQ@xi_56^*}XIcI-`(`FU4@gJ=RxQ_tp;ZG*`eE0-JPER5_U1kxA_mk1%
zSQkQY8~&G~H`n#6pbsuzz3JtL27TxcA;b=mYWSQtq)30!<K4XOCn^+O@>}1s-nX_{
z>^3}DvFsZBb7(yU7J{U>yxiRPZ(T_r{%g>DzGP>wK=)_V3e%4*z{f}((y>|t+zG`U
zV^x`mv<9{TM%(@T`Lk3KIux9vl1<e^6<T&R@Y(S%*!K5(i&M$=T(0}VIe8ZTT%e-B
zg_pVRZ_~kF%w(=V1rL?XNO2Y`h+p8RBoU%M+p6$~Kia?05qTX=D29o@054Lqfuh5I
zKPCMB9{Lri-0+XSCyn3VoV)!Sn%M2<MdQ)Wd@}Mme$2Ku^b_D3p88;|BaHa6{J%9w
z_)pwn8IcDaMay?7zv(2HM)m|=KFb)X3>#bLHsLI63f%*iE;M<veO!3_p^cQY)Z-N4
z&O?WTtOL>CyZ98*X*UWz)DV-4PsXe_%0JV-_4%2ZnRvZvn_t^?P8)3DzhC;+<(W|D
z(!v5H-t%P|Q`{j3WeQqf2``o>{Vp=(7z8ZXYk*|D6woH^a>xt-BB3VW2h9-BB26;$
zLG&R&$O(2@fyH63q8w<Ex(o8Z3*LB*Ma~DtlHmPY(@1bN2=5;@$Ieoy3@tQs<ix%B
zei2+!(P)4FPBX|ifiifUZ^Q2^_ilE&^d!rMX<AEaX~h_+gNrJgi+zO~K3Rt+TA|<Y
z!P^_NhfCw>QzXj+X9UAg<W`Qz(ZEEv^YhAbLcVe`33%GucaXxwes3y=@C2DQ0)EWO
z+#ER1&@~Wk)8PctDzrMsk5VJ%&(xcN{y)A)DF)*w6kP9tDUVFA|F<<b0Tz1&(z#(b
zc}2dx8j#!hb247-{L1ZMkrB^or~ukHW%~*to<y4fULwck+t)95MDga7$^7DK57TjT
zf+@(*-<_A~v^lFxOsL9>9(6rli9rjbTKn`<;^Xz218HEk1nN!g1hg{pjxk5b*xTBo
zpdVg3lt~?K2TC7yT38-X8zQqTSZ_N8*^bt{Of&Cz`P73tu$oT#oj|dh^deTNHhcbD
zXt|&VV!Z1HsBh3IS%>2YP4#Fs$k3MK*hKuVg@xBpw6puQ6ss7-nkdxkyGU3h9mZl|
zX_=k81^U%5tIxx*Vk{KEH==u|Lx)k#7)S4+iUyzqoWJ%s(NlnE9Crpy@E9-rXS;ve
zojE*#pVD!i2`hIP70q?dIVrSQa<4wxV1>6LtQ?l15}s`8wxlthuEZdf23^nAGg2tE
zGFwyV@Yx>F(Q(z8C|glh)xto*$kd4IlaPvIc)+R2(J0Oy`dzjH>ZP)%N7Mv>l=L+M
zd*2<?17a93xa;G_`Ge3Sz#1ZTwmQtMW#G`y(0M5*Xdg#;WG_KbHYJ<`+9r!j9!RuT
z!5$)YJb@)Tzq%?q;!%Ax!-}T6{=4B&xEVqqY?OeYU{bK+o+HBU&jgqY<a)K8k`5RQ
ze=pN9Of)H9+G~cMluoBuhi^LDySt})Z{Yd?*p7dV#gA8TK!I&OR5DrH+;<o|DmqxX
zbZ1HXWCp0$$&1!~*qb9ZoiV?D4G(K*8COGzh^pT46+=iK(<KyOG*2v`ht&ZwQXh*y
zW`w4}ES231iVWo~gvz@6X!d7<pUDZJ&Sv_&^fMRlz_?{Z-zS3^u859m{B@{O<a7P!
z%jmK)0hA*sQs3D*imKkf2?>TnwIKiO711$Ir{C}Ipe8`cGwzq;d5ohr&2!^jT`$3I
zWa(6kM974;&H!?BG&+7vhB`t-tBOHm*z<UCAtg@4>J7w9vl229XPyY(S|(5d9W}M+
zF@6jED}lJo^8K9ZlY{pZ;6<+mG@(tvOU!!Aode(sz@Z3yt7zc_qFEsdAZaZIn711{
zYxR*e3UUwPbc*4jA=Jd@hvf7jQdrVc@R*1;HrM*?Td{5j3s*T^K++gB0V}5kwUXNG
zS88ZDb$igniG>n{K9R<9XeCC31wZC;oA=B3JJkmix4eu-{sjgG6eH?M+3JAvL~{2@
zTaA>g%dgA}x3y`_BR=#!g`CL#blk~S3S=~hEkn)<pp?03X{Ke?{|s^)b!0M{2R;@#
zX$V1Ly;&SRSE+6`R4kGdu%5dgE*HZrnr&prH`<q!6cg)70S*py6kwnkZWYkEj_86R
zb?DO4eUOmXfg=s`3Yr^yiRF%(;~(DSHR*^xehO$knyygY;?r5q4!)@x2a)DO%<~?|
z;1gt?4l+g%+SRMel8<3biq}#ZpwVuxUL8({KRj|on`j``(X4c~b9X<T{)RR3X!RT7
zSUeC_Xrv{2@HrgUxGdZst0rAv?_Zr8gV`KN>PDge=AWZ52(SP}afSEN?>{b!;_5J%
zddQCsSYZ3D_VZ*5aJYQ4Pa2bD3Tj5xz$0c9?ix-_EkhoKL`Lnr<44m$av~c)Zl9?J
z+d4RmLqiqPK7-3UbZ9IRtH%;{&I2;ebC}V8T+gA`0C6;oS!1VLniZgPgT6F0L?9NW
z>AKzLb8XW#hntJ5z<Q<yCNl%(q6Lg;!1kdC6uk++HFWrNZsM*d<IY}ZnFwRm5#i(G
z%SEQl!<)levQqDdtfL=>k-@b6bM|0e7V0HQ-~cE6$K`H};j@zmNb_4ge=codfwAts
z^q_O9H2MZ^XHItJ30-RF7i3^fEe~$geEn6qBd8e6@O1!ic)FD$Dts`XfNXE0FfAhA
zhIEZ`3Y7v0!uR(kSaUFwe}ZQ`geMwxKRpJMzwZr4$YO{vpb6<$m0MOOcUh}-5vc~>
z1+5+q`iEE)uW|&u2WnOUubn$}hVocn@$EithQF@^pM!>kgoLRzozLYN->23aGkGcu
zrUs_whV{7T=LY)vlmkc)>G;;`ucGNfdggO-wTBB?QKT&r@zAr8=D`Y6w__gSFS{~p
zmb_>&K(8?oJsf<-bpYoFnxK_c6LnrTT<crdQhbI8T6}{V)A0~^=RW%P?w5(z;NOO=
z9##Q>x;w8UJc@?GE&1{K?~xbxzdQ%<XhzbE!Rwlf3NgVX`HkH~26rBOy%ZT0b(4f7
zS+MrhZXqe`)^FGpPTwR~S1ph<noZ=|!MO*5U!dNER)cixLzlgrvJBvwueKNa6k3oD
z7=V_}dnDvqIBomYxG6S}HI;652&Pb<uxr*(wACl!UOfhkTP8{2V=nRq5|7{iy(NzP
zmmPuv0<#@4!_Z|sxPRInS(sT_>3VXs|Nh=rXY|2`^^$jD3XI!HsOmplV~m9a^?hFt
z1Rj>q<lRK!UU2{p!|DiJ-xICR+T476jxc=YT+Lqhlth62JQ0hgW1q6BBt0wC*`Ti+
zZ;IKDljT2LfMxJUNV%@2re+e8bk~d31r2qwt#is9^El4Bh5pdu2QN)JD<8D5Rl&9>
z9fD>zmhwM&P=Jw<JTh>^IjRK*vx4Yx!TbtQ7;T{x7Kza6k(o(I)8o0CIWX_L<f(sS
z?YEz98$=p!|5y*mg9&SlVXerfWK_-0%*u)pepQ684}nUb-B91?C`$MEU>ojCaIT`f
zT=4TF!+fMDv|l9(I2AI?;6(yiDBRR5N5?%d4Z@%`7Zn-#R71nZ$7gqW_)b#A+V@LQ
zQBeVZ8WH2D_?X|Q&Ku{2t@k+EM4&VaKjg*(SsF-f5`r2?PTHe*8IxAP%psi_o=tJD
zF)9=m5kLX{KvCjfU~6pL-Kw7d>g%?ZKp|^x|DSyx!_;~<)@5%h09tpC0hx#!hhg<V
z$^bNBy@A;MpeL>h1nQyRAA}nba}Gy)8LCgq%Y{tl;Ikn}Y=(}mkoQr!6#4~q1eY=0
zPY=gM*J{qehVSID96`ot1D^xRw2Dw1UBDvsuY~gfu&l0n|6*T;=%Z-Q$+KJ^QMdyW
z*4@){HK2*LZ2l`OQ=0R~BP<`Rs26U3z&sy9f>QzcGdwt;X^>JpqJAv6TmXW5HV`ff
zY%MT?t<n0Xi-yX4TDXYxD|h|JQ;Pq1;sC*j%WnC&R;BYcbWF32mXf}|p;jYz?Y{|x
zVI#hH8$_Bg&!JQF^i0)qbOAn8@}BHpn2w(ZGt)Xxku2-G*QJ22MKa@Ql7Df>nCDX2
z;PWCS2DG~{cJbb=k6qu0s5tvOVg$j33>k9l18je;25BpkbpVpdzi`DGfY0Yp`~&Gg
z@e8VK7hC%84s0Wy5{79a*$C-1sBnRSEz4$A`!<mrW%)E$zrohTb~@GL@0M)Bpq~NB
zIId7;w(}T2<f%Mvf18lpjd1`?FSx}Jg=m`|t`tFa@gKqJd4|m&2M_%Ib7jq6-}EF{
z!X#=6OeDRs@5M-xDc`g4dOJBesmVg@_W-BvCs!6En^jdOKk?XZz5RrT_AlHtoV`g(
zN=ib4Uh`yt-2OS{^)5{uvG_H@fuF<#SUt}|Nd3w~F}14VT4#W&(as;YGIEh>TI*lZ
z_UVSDqoZS!KUr%1yQ_<g7*~yHYP`<dQnMaB{oL#^+r;%yf?KT!Ur8uYtotE*`jWGW
z$((Hp(4khp{_`SjhW=APy=axuX_PZ`y=}?&q<#AutE2Oid7AkB4-f5BpI-m1Ef(5(
zeT!z+kn)Wiltn_MAkHqcdV?>H`p>#?Y6!%5PZrzGpm{V`Jgrkk`R91qvL?Rz!nS-v
zeViowd<_F;xZ>*<+0*QeN^B#7(U#ACD5A+-*njusD(l|_SO!L@Bz}?+zzpIpQ{5<x
zm!h1(4D^rLzI;*MfX~lZ44ue@jPO}rCMqcyogd{G%RB0D_s7Eq@V{5q!B0f3-1FDr
zLjTM3GUkBcvf~ev_<}Iv14``2c;7lZkTNbs$f~d>?q8UoYsW<E-lWMnk-|!~ytm5N
z0Wd<El7f_asL`-J7fB!2K|UANw8Z_>uD?5#Gh)u^8e8iK(?#K>g%ceq2aGR-Qo3~^
zcVAIb^jC@x%9EhJ1b)?ACtE4%d(^oJ5fNC%xA>*q<q7M4?^BJ`p}PA1-W&hO+mM?6
zcgcc+^B}s?)%}twPVfXhH0cSMVi@)nLWv}lW&>F>&a5dNsz&wll}}U$Nw)p;ghfdV
zBiH61W#659CvY(KC{zy@^%mdH&#%WdVfuFc?y-2hyq1&Rusz%LL{%X}>?g3g$lV)L
zQq@EF2e^UvhY@1?@0lfm#IEgz;u7jABq(e7%h$f9cccc~Ais6N3vH#r_KAVB)Vuf(
z{Ilvb@tpERo4}s@7M<{1wld#DN$Q5*1B>C<m0_A5IVpZFu3)L8U<F|>Yt<i^D6Ijo
zxca%jY)u{-Ul^+QKXYbnTvBPgV~z%^x_P3V-ekkG-xW0(QXjP|M!&{3CC8#c(V$Q-
zf{8ZGKYnOGqD_#`2%CCZyICJ@ZY0FHx+K<~!zs-^dePkSo`VGo*H(me@pcl_*}2A<
z_b+@>0F(;Iab#XC_DQe0h8)5x>pU$Mj>alqL0vRuQ9MEh^9mkcI#RH|^&3X&aE>Wx
z{mzBx3x;AKBDYZU4mDy198o{+eev2_9bS%F?$`METCR3rQshG!0Dxh-u-4U>!2fgR
zU-bWwier(=9U|Ctx^f0YKi3V;bR|z0NU{F={$<_W-34NZ#6j1njnuz8<nk4nSz@nQ
z#zrwO(1&p%x=OWzQEFl{ZpctmN$KD@a`gk%t*;Eym1A^G+Z^XoAI0uuvUj#PIXBN?
zUJYfy!Nq;NyBxRxJU0b~5c{$gi|5-0g&c%eCR4+nZ4vkh-!}m*3SbYbTC##Wg#70O
zBJrxCB9(z{q-z`oUzW^-YS8Y0)(<gc^W!JW<46(uV=hGYHXT3!I0QvYCveHDS1L4F
zPWyC@`w(eEh`~%Fi*#$>*b2D9{GvFBN8F)-7&5gXm{oza8-uF_&7-FUfEgfRJ_JZe
z%Np8kQQ-0bh~a*;-h@+k!AqQCkG&25zjm!*vjWO>c~eAhSLlsxCK*-MaBz$~)s4Sk
zi?d40(oKA^4ZfH_%1fH|Wjgn()vU`^e3~!kL5G2snMJ6%Nr-VS>VCY5Fz2#{fwpcN
zJHO(YM%d$B*`S3)*tZITm#(pDV||o6l8OwaNE?h`m7S9D1I5l(xHk!oh!J3Hu!LoV
zt{@rIj~_oA<DdiW1QyNm*)vC=f?;7{okH7vioi=qy!XVY37i5ZkS=W`9Q&K+!v~)M
zJ8r@D0D;1C)heLs(zCGT*!lm0RWgl?wJrPofzjLB8@zq@!d6n4wt$h`wAup<p)->d
z@g#3BbM+AQg>asd#)Hx6$us|HqFupr`{65epR&7AN^PmvHL<;n;*Gr214n*;h-Wyc
zxW$FWR3n5DzH?dUb;JFU7bI;8S=#>3{O`5BDr2n&Dwozk%*r8cPqGrjMXF#UMmG=U
z#(R|KJz$7Rom}SPR*&2%D7@fb#)N_D)u1FD4S-kdoG@_3`f#Dl<Tmjd>$-uQ(0V;U
zF>EJwjzVtGC&|OhOTn}O5%?;^XLl*rAT){tie%pdtpTJ;6T+wphZu%txL0gmQ`Ln3
zF_DQra)%X0GCkB<Puz*E^;!=ECXi!F-ujF}bvQxG4wfS(Czgf&!@m}eaKO%o(<m8*
z;$le>zpMM@0hyqs(q&qbwr)q0b4l$km<$UTSS?~0KgrtOaw`*gD@hr2ce})2NA;7i
zc%Y*mTBCkOOkiKudh@0>J|4gvU?mP^{Mn;^i}E<9vWh}|q_1DB+Uog@fWP$t?~wOz
zHCk4fl9DpC@yj3ptp?aY<+cmmbsvuA69O2LSV|_|tgNgYSCzp#k8}L}o><#)5_;%|
z925R0c_YIddt+Y+^?an{rS%#z@1@}Nso{V3|9yJp<2&f{bS@Yd+J4_!GH5Bp*|Ly*
zA^%S5(R3t77o+rO5ZyIwuOeEG*w5QsstbO`A~i>uCcX35Fw_VSo;3viz`x6It^2%g
z`~wFm5mm3>koXa^X#VQ$<!axR6S4isjzZDn9u+E3(###zjFY<pQZ<;9<h(Pvm*~N)
zQG}}5!#{{0u5jW+ZEbC3LJ(D*lfJnL;WY2q28b+YYgd+4SG!wBpMzKmsxgzZHbMYf
z|F!#c-g>AWLfuEZ;hn<Go8p&V<aE#lI3?dMU9~x%6#rq-zxM5U?NEVp4f1FnufLwJ
zxV4q}(_D5`_p#q3swUigR=DnWxAMdVme)zb9qcv11RnRtGp{9qnc^gPuQbOHH05KY
z{_clXlPWeX4hd(<n+rXT{S(t<6X{l@CmZRPtV>Bzq_w2mGPLJVursq&HiAN=Ry*u(
zkdQnrwKfuotA>gnKtGYdUj`~;hm)0+m8$9hTFRZDjdob~%>QEGKRy!R`Uo!8z5Dn&
zkNZaV2<7gFDq}Wvli-`}3VteS+zfWcr5#K@TsgN&G11X((BaUa)9Joz`Arb=<ItOx
zeRatoR*OuRJAy4j9(6hRj=H4jWy<9n{Nq1Dj<=Tv<faTwIheU*FZt9_x-f^0tuh8H
zv?iB{?<g@(lE*2tB#o?Q+}1YM8BNZ9>PHc3=I08SR+{H8FieGWfS-hS&Z%aqy@W*5
z?T-Nk3?=WQzi5j+HTmDTjxN-wVd|w{THsGj3fo{m<Fr1O^CdUCkG{-eagWcseL5s1
zl=xP1!PISpu6U?{a#z^vNftpjXnFs@=ZIA&EK_2dBDp_KCn-zU8^IM`P>P45(NRT7
ziH-4In^4OJ2;tb2r1SFap05BbS#s51QWxg0XD}iZxhldsvpsoYDeZgj)@o(gVf@Xw
zadsi0ig8tFnib6pzeLP(-UF~)vK2hUSV$b{aTf#lxjKM!&5^I%53u>q8Hk|${D`el
ze1to~Fm*$mnBWQu@r<cXUr=}bos5ULn}p2k3pc;_hNtpMi+@#+H&KE)BSHx|r0I{d
z2ExVV#r2y9@Rjb_a4U(&--$rqdL4qXOSpOMX4^j0!2s3_YI@WxV-z_Hh_u|hhja5^
zQoKLLi@2uBN#7|y=gdT8Ze<mhe*B9|c4>azL(*t-vs1JhZv3`ysaYQb$`MF_+E90`
zJD3FP{NWvvS=J{14B-6VJOjm1uUJxne;Lsa8BQJ^<Lj6n8y@9>(q0&Pv#tr$T&iqj
zM)fZ?t0JtIg=gd&xgSQ?+@<0Bect8XdELvNk*#;Hx%$PYU%(L?Y#Rvg4%fdx@aeUJ
zhf%z8O3$l6_D@oJ%>xYLfEFWJ5g@X_AWYW?4!QwVJV<4sh#xaFWUJu1{MEa@NpKh{
z#lyqH<D)Z{A2b24N3FrsP;-}?`|wa%>iLa%nYS;MyqNqB9!g5e3G&s`Nj&%KRungH
zmLKm7V_{<A?$iZ67BB_eQT*LCMirs`>7Xg!MKoO~#UmlaRDh`Vamn*R4pa${Pocsv
zV<rv7J>c#lI-Q366vfZ33ZB8r96jKJU1;!r+(<1jfnbl-7MCHjRJ`fk?9hlq63_4R
z=<pYMFX2XB{gbeT<bn`gx*H5J&6Ed5X<ppC#(Xo_Sa-eX2scBlsRtr1o5sqkeSYex
z{ySBQph-wkg5q1?a2TODu$!TvXgcyX+T|I3E^xV@#i_X=12zHNL;AO2s2`X$hL9G3
zJAkzbgWh3&r>!A7LY#%P%_Pos2k=cR;JjN{kU{+$ek6F~`z2PFfP{%vupgQ%yI}6K
zHB0k~itOPD#oqxCqC{LA5O>bKnI<gSX*L4ZRinyfAF6Lawg<2=M8RR?WfK5_4zL<=
z&(8ldms|=`!Sm9g>upumY%@=vw3`-vxH77YGKwz^^eK??)9#lik-0wct8J3*?Riz}
zG!Ha3`FE+DlTs^EmYmgH4CZuVuhBnYGtCyN-M<%NomH|D4pZHdPU9+Hz3<{GUllkx
zgpu)cPONsT!!o;DiA}}qpYI!@f4+-OfbsTP{ViWq>!VD3Oe!jTf-oF{3%|Zm5iqhy
zf0Wl1tG`7c_JQ<bJ)hXGj$fQX5i2`wTS;XZi<QEiHXZx<sW-;;WrTKQ_Onjhh_Y68
zRp$78vk&^6VmEt@wE|nEvdFt{;`QseZFcRd*PVBh2X-wGldJc_PP%n~MO)^6dIB)0
z=yA&F)|nK0xZMfNhcK_+F+W`yKQ2cqXsd@O#qNj2=2^(NtV7n*nQDX`z3Vgu5CGok
zr0CJy=}{bv=626rDr0qBkVZxw0`Xz3wfd+P#`0Gmgq?2ah`6hNT(3SEI6Wvn=^rlx
zy(I*Q2At}6U-WbifzwY0MGs9x*TUmucb4b)Cx%^T7<KlW<BlXHtM`1X_b5)M+$-iM
zQ7F^|-Xg-SP^~%$X*%9ob|aeUlnb>;_3dV|E@#Ls<d93sCH3sEe#OIMk;<Zs*YI0=
zNQif^chU8t+=gMMm;#sRqov<s-SR<g8jLJK1uT-uo&^z&(ZV96$x8$|#Y=VeeA_WG
z`)w6&M~z!Z^wYydEX0Z`B2D>u4z8XT@i?VcoUOY1Ic-{jO5DfMI=w~9K*HyoTzx?J
z9elsf#Ou2;<~rfY)nCBUUiLPjh&7bLj}vcnV)A+TYEz%vQ`z6f1X5fSW~4$Lim`7u
z@l2%)S*Gg>22JzI)1&%wc?4IWpe^!;GXqW2`MeN3F-ufkodjo8V@2AN?4a(-+@V%-
znMH9+@er5Pg-N#3u`Clky24?L#u&Z_89{0?PX}FM5}f!SMWyiIk%u%H`4>LkiL5mY
zVx!HV52hr;Tb7I!x>2rK$27AvTIN4w<z2cR|B<^x+uZ?Di4jur8a!VQEEKB7h%>5P
zK`KL5Eri<iv*HeAbCRrVTCX~j1ygIcR1~9ys9ZzRtxXc=(uig6?c`*q`GD@9*C@=C
z!aRw?Fcxk`4fa{u{M?!y8@TRiAEl{zXR2OH&U;5{DJ8-9rP@~e$YV=#S@(j&Pv;zY
zuB^dhmb@*??zx2*YtMzb??&>*i7QNLREB&;>xc1}mo-Nbo{zd+R8lU^n72T{v3AeE
zVxKE3PJ%|Jlah-7mx)2yP*w_6oWI4(CG$X`2%V*a1bZR!a)o6v(bBH0A$;+l&ONMQ
z+Yjw-zCd+ypp(P(!el#~pb<?(AlB<;^$l;5y2Aw)dUZSXn^Gy=PwfYTgk)8s)O?2-
zd{V~j;)6Que}C(EId<6(i+4ufFGM3qmLq0*huWcaBzjh5W0XsKRV7HxQtq*wO?jK_
zs%&}-O`D=yK`PXr!Lktxv!jY`qJg@zM{DEgVU<<jvQJeRNrtOmsrMp>BC%Os;2YVx
z`Mj!R!~4dA5;_Ux`fGol&X(M~_C|Q|j)dQ!Y+fZ-;zV=B#qDnkH(Of+%j9KFzQu{~
zs&|T8W<71$<SP495{KENH|5*#eN^2CYpsrQ0u568!Ng#mDB1M7JX`a^+Qlb5)s+#%
zVVVXwg3UoKmYf|1Zr>szGfVuqxl|0+HoXqgzhyTYSy|1pEGO!*`n&qM;waZ9QN}eM
zG{>X_95$zOMUkvpy^(WK>`qSn;+%BzDP!QP8;4ang^kx)oh?z%+5axAUqtCE>{w~X
zZ;=&jIxC5jvxy?@K~>(mk&V`s8mlR8TP5qknMwf`bbWR6dYSQM%RB~lf~|g00vTAc
zE9Q<uGNDP_yR^OO--5h73rf2!{E36QB$xvU+bIIHz75@5=8dwmkd2y}nu6hGo}Qk*
zu{Ti~AKTfG2fpZqKO`@${La~dlT5fnp=yv>J2K{^errprd`wbeXSXQLL7mH?INrPJ
zeAri~g2+r3>8b3xB8m)Q5@X+yGV`s?xUa{}KVzn|OUQUCshg=W_JwA<>dNYQl!5}d
zGY=7<E2B_*BpCJU-{FkUUh2pfQfJ2ARoQgt-@I>n7|25-Og7Y$s~$@G!{N8ul9O`=
zjvdh^SFjVwt^$Q;dFI72ufS2FQud%`S&mJ^zQmNNdwG?{k7j$=Fq@~f=mK%LsWb9_
z;&F@I7;4ae>Ehzjb@iOC@4rKWi;MflDbR-@=;5ZUY{0<+Z~x|DMofy+Q=^RN^h{r)
zYO-nUSr$KX-(kJ{LFqbLkl`B38<r1hZXcB~CQoc!<eD{1DwC}%xp}D3(`UKpJDi@V
z{J7NH=<%kK!Y41sJknSZSLd@Uz66>an4frv;E_?*7O83BfdMK$1T?-XyHO`*#Su+^
zSV~v9J<}rIRxmA>)jt!FGazo6Fjb6-|3%%euzWPKd&{Pn(t*CbwAVW_vmm~TOLR&6
zqDqc^lqu8dmLf(}qr&I`NqM*|G{RtXUh=SbP=nZ5g7m_b<>ip}ueM8ys}G!RZU}`W
z*mGV?k}|-NO?_n={G8-LgrvQj1Rtj;Ic;-=uT$irngm<iTTLxxF$LoML_0~AsHPDw
z4(a^`HuX^B)c9PE_b1<NBibI~wURXHTgNq!px>!M-<!DL2+yY}UI=aFqkU7(G|v^*
z$mnIbFFI*;OImu9*c9^gFZQ30YjhE^m21j&zEEpZs4V$pd*`{+uPxV$pf~CeS@ENt
zdit4&^L1e<5!q6PX)~*=IoL={US)9y=F85-qfFLQ*^)o*(?Stt)Hn7z?9?;sO4D1E
z6(QT*W<D6e7}0u+*yN!ugAnd`f9|T%q4FV1+MwtRBfNwrrS$2Q{#VW>5N9xFJ1lic
z5H~*Crj}8m!6E0Nk#tL1c9{C9wqVYo&K5SJ<?1Kb#DY04J0-yA{nSjRHe09K?SF2b
z+0D}OoGsgHAF@b%?al1_9h{!)ui;l<T9}RWZc#f7xZY?lm(Ofz%ZN(6UXe4o;%q_^
zx5C3u9QF23yYU?_J6T%p&~_!QJ5JW0`sst!5?VDG$ositE-ybOHKyO?E{ccA3CX4N
z@6o<B{9W6}Q+(MKLjwMFZQ?sTaTdviPuT+EpDK#48QP_a5hdpe-SC{I<prC&BX6W7
zucO#j#nOK4w)?bv<h?<`Qz50n!SLAW=FQO|nZY`>I;Wb};LL0(o5*3OmaM+7Y%!19
z|9myUs3E$2X6-JLQBd&8-p)_|l@r-KM%ip+$-rTAiN-da3TICB8`dUEDAw_Ff(=U&
zhi)~^zU5T1z!_P|z^AQp-p$`hBABfi$TJ8NSq#<HW|E`FWlt(?7L=I?@fxx&mA;Sc
zoFnGHjVhuzGvd<okdga2$Qf`llk0z=<y5?^Y{{amnktsoII&U2uwYisA}gcfX)3yH
zEE4)`c9XB=`I<e6xB2p77h5~|*NTgUp}O6DmO+`>Hl)XuWV5nk-uepWG(QdrO!R`k
z7eZ5-{bST~!N1n@C);J((l_cK*<0QWmT(R;HTI9vG>>aA%gtKQ84sBscp7VsbVwDG
z_Q)G>>GT=vJLL@4Z-$4F?<h)Y(KRnxwg{U3lB>&Ty&Xo4VM^3Qscg!+W64A48-u$$
zcV5VYg5cjH9hq%v=7mLvNc@s9Xzo^j92E&Ovc@oZ7rrcb?%(3gi1r_9|5_l|WSL3z
ziqC4pFw49$sPReBz{fe09}jILH~Dzti3aqZ;@tOa0-I)NlygI2t!HE<MK5z5n&e>C
zgm}vNn*M)p%1(=yD2K*JsXWyysl6;Jab2oh{bPH2qOORf(;Xbz(&5!Chn&Kt`=)W1
zN0XD4B?l$!B#AP!rAvghS_r3`&FrF*qcf8Uc@wxpa~zgfLUX;-Cjy&23z%fHiL%I7
z9^>NSu{ukko>#u;0*it|xowqYmkVSWWV44TcL%lqnKav7cW(NC+x@~IuWT%9N3r^5
zQ@U;RoCO{DQjMKYqm3l#QLX90!kJQnD$*)GW*o16$??!|%W`&D`Pf&n(1#o6%7|aw
zpz9>3z|B|2RgG-d4%*$_b+ET*L9Q#T@^?puC_L^jl^P2csIMi|*AC;#oD*DTGquJp
z#My4<bA6h;L1Ngv_(jRE!LwCnWp$Y$hry3LMO!AY!h0gnrzkmw>&6`?GKq^T>S7zR
zvMXiX*+G4tJfiM)r;y9AH~L27qQcPszQ1SrgO1UpGCW2~Mf16hYP;V{#w~~B4K4GY
z#Tqzq?d@sjN~iaA_Gr;YOs~4@7BJ99O7r0HpU)ubIndf%SEMMXSpeuhTR*+wVX62x
z{O^|r@N&R<0D|fpiG>Qg`1dMwb4*U}gM?HZ7_mDYOb$)e!hQ_|YX!bBy|e9LJd?Gp
zoz`clwU+v{ZS3?qULHeXJXgHR;QpB1D_QrS(_eR{2FeHjtN|FQHQ>4t6z2ln4{<_H
z3g$R~sR9hy)zt+lzSa1_UDSV#vuw|!z~T8P8<oFSQ>e;~8te}33x00%e(n1cpL^82
zACw|-GjpYJeJ68FXLUOKFt8)+chLT3kaA!YZ2kL_&ximgd->wUi<y=X=#1OU`Bk)x
zNHoGodO(&zbe;3nW>=YMhc>Vkz(NC1NJZnegSjR#DSGA1IphzvF{RGtMk-m!sy5WU
zbat?CnzdN!8fwb@gE?5nBjMK?*dbLOhRIpYDd;35BWKOq`%_K$`C+3Ov5j3+eRt9N
z+8SG<qrH8R8WY@#Gb||nn?w+9M}X}@hYlgzSlTh!YI`B?iaeNttu&58QKBU8i79pP
zM70Cyb$!<@3x%S%@b8pDG|4*ZxYt;TRcMxz)_lYz@&UVZ-!1d1!!^~y1IK6)a^n@L
zSzplOYZnuI`(U7K`!NYvbM?0S{a)SoJ6{$_Vfh-R7_m`UXqFv1SGobULW&-$wXc?A
z^1HRtOn2HpJHEm{Y|^QGB@`h8Q*3SYIMH<v{{<gIMU{YR!1!UlSnk=Sl8tmeZDB?W
zovfB!g_tHyB~|6xAn}MM%@GxT3}v}R@obJD<x8`6fxRh}0<PJO&BawR`McX#c%oFo
zj%$=}<)zk*cZZj>0;NlZ&01bKI}2Qv7%rmN)<l&s{c|6xIoiw6n3<xW+&B2bk;lGN
z=CSV^7j;|wCfeSm<=N5p6*W(BoY_7L#cpkqH~Zj`a3eY5xO~}rR~8+5%c*_soVT|f
z#^0}Z0RiZE^nR>nn4z|^^X?*cC@n{ZDZ{>XDfI-Ji|*e<D@E@*(A5N($^`^(I*i?@
z2=eR8V2Usr7(U*5P#oJR^xjBI-!@>@(<lBdBe`sYmTanE4{hUo;eK|~wvA=;RAO+R
zb`DKMn+l$bW~f4kj=T|fd*5Rn_uW6GAOmEJjnZWKcOjT6U!}Ejr%<_ysf($#a#6#<
z)@Cp$*OjF=hA(rYt&N7lEK}h#v-K;5IW3u?t$`ssx(24b-6JU~$(5B25*4es?8d5J
zWnA~;aqP?_!X8gK+Ao!kZdR_KCOoOmOb<UZk?*svtZ2VcHReZR*tDe|$_<-c*67p=
z%w}noi*H3W{K>BMERV}xGJAH|ejru;-oz?o(C#!lf1YOdme+!<nUiaOQ%|l|Uq7>9
zfLtS?lGWaVorZ|(0av3Vl_J`N_1_eO-*4)AU`Uk;y<?arE%)q`6%L1h*(b&d>-aN)
z5AX_y#ELJ@nv{+z-Mn^S7Bi&YT$<_7vKq4T#a2}aYF;nMTPS6L`cOX<zDnI5(izuE
z9y_~G_maoA&hUDykdrkO*Tpu`beH~az-aLc?2X;QPB$Lg7?8_Q{Yb9m>BB0H=o?k~
zT2X=+oBlxUa2DF!Ep8TR2Ft#TW*=P%oD6~{1(O-mbb}a8!SSCgmgE}h<qojrHFlDE
zdsB^fAp<j?aSq~Tw=kPhfouL=G2S^P6G9!i{d-x>hPT3&>HMQ&dSfh-6`p;+ZWi>$
zh}U7*oJa7bOnjMia#b=Vg_&by`7@S<qfVY)NxD9Z%=i+VCB5v2{VP80Q}R5An>)KJ
zqTebk+i)WpN~KHp)GVfg2!&|IfBiB1!E4<CJmbyNn}R48ynok(yhe^m`($(`Y$<Ui
zw5o(0XH;InU~zg=4KLD7bf<w^uJ4+ZvQAG>?vnYlwtS73t>k8XPZWJfKKPin@DJ1F
zwDz4imStPW+gO*qo4qO5I#OoXErd(&NL+!tBtMgTsejd8f0?WX&+{xCow2pG-P&89
zawITU4cZ-ujAwUHU&mLD`ob7QYS6-OWvv#*cacAmxVYa;<+?D7O?uvOfn+TOPS2gG
z>Hg_IUv7vG<>s*{Q`wE~-P?FrH%;vz=ToF)E-w7+Fotg>IoG^^T)6p8(UXg^J&E;l
z6DSeNlS44CHA&mRa`VE6Q#Y`*8tEmWp^g*8caci7)OrRm-J#*(Lu6+1!Ki~nd7}_%
z163-EwL|1odLnJVXD<bpgxxE)wtkw9&4P<nf`wJd*GDVDjvT`)3I~O64DVK%^)39;
zUgAmadlF=x6~9AI>jk^%$1NcbyuUGcQi#F<3|+7Xt<GIrt4i(iR|9r1!Wd{g;}!VF
zfE*U~50GyeZTz0yYd<!Q$XrQ0iL7?$+)-FwcB^8M+_1y#FPnQZSKf~oC2J~Y?Z8nm
zZtv-&od2-Sw)h5SKv1K3TGvraZ3p<Y)6bn~9<6`Z+Q`@#s+ULsGl!UzoIEx<+C?)Z
zN7S*H?jyN<)XUFNvi=h9Tf2qYwbm)qF42Ui%gmM%-Vc~%5o{fQvO1?JKsIc?oc_L_
zSh5VXo(AkFe#fJi{P}(#-~~WYbVb*%ioS%mnY+|O>|n#u*%w;s)C;-|&FZGIW?5}h
zd^j}fcEuC>J7U3YG?Jxm0iCw=sv4mxE3{#@;3NaKQc;=$nP-WZx`{DTs)k|-(%-aw
zu-%tx*w^+nqgktae{6%jmrw|km;Nnf5aS~=3FUoqis43q0MGK`X8n(w`$xA$SWsb?
z84+m5gSyb-5E#PHzmMf~x$35mtn7UiBbEqFODtJ;8&%QuqY&U>l`b9i9#k63Y^)w|
z1+6BHQFAtg+dDW6R^is*y}yQ}Y7@f7JA*)6E_Pcg{;p3pt;J+wz*!PeFgzW@Cqq*1
zyuFCH_UKLMLoCM&2>Otiq2<CQvvGJhMzg=!GeaHP_(4506d6ts{}6M6<II40SVgoO
zyC2A%E+FV7Xb;dOxko;gG&Uv@u{W55y#PHIlJrTzBEY=dJ+>Mb)m}}ml@T=6oKALp
zCO-JSjykl?__n%Ah0RhU@CY5c9%BBpRy7Xq*iW|PPHj8(p|&d*Cz4f|91NrhAbaiX
z?pE*TK|CUQ@bGkg>+~oN9D-Dx_M+T)^|d20!5_k^n|%9w%jU5B=!c!>_9oBlU(N0(
z1!$27t2#AL?pZ)Mn25w3!gps0d#GpY5SHhYxwFq01O#=Y;yIj8ff8Xm%OdtB^gqIY
zg)%5K@c9Q&h=P1!9b5Py4CaAfgM)gj0w__2Gt;wn`zIF;aoM>&`Ik5OksXC9LLspS
z99E*U1w)~Jp`U#ch0^dqj0Xy(dkG(T%_!7!w6m+BJecny8wiE^hH>V||L>Q;A^87#
zO@2jsR0E)2eO!FHlXF~Hy~8QG$*DCEG1z(Xr_=4U_^8q9s8MI{lKUj+{{RyLn$S*O
zxv#DQ^V*f#69ai&6AziRwooTuPPP%SeuCo2Q*>|1eMZ%71{4n~$|=amMqyF_LQZZv
z-J@`yyri?&K7P~=hu76{>ipR^)P3V-Tm$3gzS4ONLL0lMCufJt>ZHAT|5)d!g)!&I
zuX>$#<T&m)-+gDI))Q&tK@fep<6b!s_SHF@0j0$N!wTfvP)BqY?by&h3q1)y<(YFo
zjTzsMSv~#jz7=rtgnlN>Z6WMrXZ&P%E&w9cIk=tg6bBOS^VLUCbr3y)n>29$6X04>
z_wVV<%vB~%CxCCAb3BwId6410o#S>m6?Zg!2k8OP?moL;{Rf!HrE9S4E}lC9hRxt}
z9{MEF^*bl^4#L|hC%tijTN>5d8pP~C+l5~uC0YDlCwMD;syZQCP@S^X+SQVC{e3m=
z(-tE8HNNQw!>8~lM2==ffr)t-?}y|SC=ZG@n#+4rQwEYSdSm}s4mubmok5v&*JTP(
zHm%-JJ!$a~;6Xl$5($@f#6C98|J+-&yz0K_A}a#3J5Ex4&K{};Z;~LpMvnHXWF6bl
zNy<T07)*y+ctyGg9NN>ixP8v?qdDu+v#L)#&Q;{=JSb`cRBKL~MfdLj)fk$qrV*VJ
zFb>=2Tz^bX#*c}9J}HkDbv$`9zG@S9h$vf?TAge{J*EXwGdQ`cLvr>tc+K!N)c_3c
zu8yDXJZyY<Bqllyn<~^6f~%_4YIBNmMBO(~WIIjn_(k2{?UArEWruSFO=L%cqwvPC
zjz1xdC|UzE(e9@g*G`YCPaP!Pj{;zzOY<`TbWy0iA4iTDM*;P~9^a2xtKML&-dGMe
zQ$zq>w4G%2mUOi(`|UGhGvQhG7L9d*;-t>~x;QcoX|3~gUz9cJk@IFd@9A%yBj2Q8
zgk1~ALe!?~+}|6*%I8Kq1!n&C;^7IhB!O<5yrAe8aD;4*s^bRt>42lp?(3{4UJ=JJ
z)te4L0bU1J<_<4-4?0S=fW&(=eiY?y!+vH8Q8jpa=IA1GM|-ZIhh0vto-;7MeSn;%
zgB;}dch;jf<<*EFa^+Sxl-S&N-H&rl?T|G4x(M>TDA8bw9Ig540BCmPTsb*cIWy<B
z^7pp{$(bESQ6y!lzdpO#g!&m``hV>#tlR&8e9zsoc{m#1jJ);c569ZdvdtrBzxu!l
zh`omRWp~OIH#mTZ{E+K-d3oaXsoL6Fpi~#+=i788z{kQ65VPiVoX@{{Q?S~`*}2R`
zjj62Zw+glU!SpnMKtS4e--FsN4Djkgj&0Zt<Og<btgSb|UV|VB>*IdAkl+sui>}tZ
zo0N*UC#gaQR;SC=2=BkxYCKkkmOiP-LP9s;1`4&7a1TO(wNqO#exQLQT5_0}lTl_#
zI6CxusVJLdyIJc4xqg;JX4=TjF*j&cQ;?!h%3gv1X?3KOGp>{MfD%kGjTrJB!k{8F
zp#5qYL^zk4w58Vxsnt0T%DO%gX0*R5O*_vj=Bm(=9f`$w{A;*`>9~0+|6u?*h@()H
zL%sPv1r7wqmyu|sYIuEpeYD(Ryz1~v<{MUH5kW;;UuENdrGe{GpQNq1)n!AZ`OSLD
zrY(x*rIJ3jFHH4?@#=_(h=A+c0f_281rfwRmdIL<>*cB;?D@	z#FtJFA#F;jK{w
zZwBl(loiALMwpz!@$$rEpN#iD=ZKJV8S{x5i>mec6}PW(XI04U$Wb5$Mj&hgd2Oj|
z<trZeh37O7KY6UKK?6y}abs=>*X2IvFq6J7x>QQzT-%x3`R_G3N<+$?bJep^^b(F2
z5Gf7#@knNW8)n2REnWCCT5;Jo1<!qVZ*LEH`tTZwU4tPyJ4B+hij-h$x6xN)gc<4W
zUrc#0q}Ag~Mtr`I&ID2iCEaRP^=s14uPuARPp^X0+(}EWr66ox#}w84kdeN6vwy1H
zcvDeyTXDn&7ku)Uk~&z-)%`_~yg3*c(`4ou^D`>SOa4X8c&)Q`)TPJKKajDEnp?fA
zGBSO??8!yrWP(h39<nysz#%5yacVEK9x)YZvN$0jS0D%XFKsuFGr@|UB^|MLNx=v>
z0&WH9eN){`ks8|~&D0Uo>B*$i8w?HUJd9Wk43gZbk!GK!StvY{(&r1+GL04ZG^O*X
zefxarn}mJ^6{{jtP$bTWR)b5zws2Tv;my}@T3q*rRK~UNsj!n{WEd^4!*12KQAXg%
zhd>|8g5)3VZ_1-ERKsSH%{am&<E1$8v_0`^BX2o4$@{m|(yH_KR(;kaZ+jE6HotN!
zsW>W`pO3F(9to0%Uqc`))H4Q}U{)0;zbb?6wnW~l@31pq4c};Umc&*FIWXL;wUK{u
zEl5(CMctNnz)<N0MThECyJ8`Wbl+ietX)z0lhmsDil^a*R{6Y1twBw@#Il<^Cnr@A
zT3cL5^jO2ahVn2O2)ZNJzhtMR5j>Me$EuLoPgGhVCqkX0kj_J4*cYj<rIH?ac*wY>
zmxCAdhd<S7hBoMp&wlFGnDCrSS432yvc!gn>7(?}sR!9G(jSiVOHx*6S|qsF#UMwm
z{SgorcC}s2#K{k|X&1|VTeO#)<=ao3HDs21z@V=2{EixLYP+$5qRTs~GO6CoVx`Qq
z?L@_NY)h@&(XnI+;U$+r$qf-RxkXGtI=#rOcI?=!PNP!i0diqyt_Yd3Y-p?!fJK9D
zT`3m_2(!k|iQWRkr8Or#zLGS3>%MP;j~a0ns{nUj*>f$PQkj-KLS`kaeD2xYmVBvC
zrEgy0>M8Ux(=;bqu05}cPK|_DPOH8W$fOi9zcgWqZJ9>oL{4O4biB2`usxR};=DBv
zt&AfuHTvg!FqxwM$S%mwPH!1eP)<$nI!v6<bGOh^*)PiIF<;|zrpS7*1f9^_^i7Hs
z33d(1399OTW>`0a8mVm>7FQ-;EE}v*Jxw3utukFSH4&_A$J&;h<$f4JoUuCM9`0fd
zm0B1qiOi|{^XG*Vn1?-DIL>Q-%pxBsWZ%Sa$T1F#YO`=K2<mE@Z|y&%<}KtW&&oU>
zGT&Dq$)PSd6o1(BKH!NNp=O%eC+p0m2i6f98kwzCk_=+9>&hCjGT&=yWgd3MTar*D
zOzQ=jlZTA-%udG?2<%tRSeF(T?*b{*yT+Rvg}QqSAiz!}zpR@xfqR>XGVJPHy=ap5
z>+x!z%iyEDh13bX6jg2=nMK<4@Tg3BJ$*fq`hB&B&7R7elsep1;dDf$^iIDt7_nBP
z*xDK5Sp=eH*~lv2ItwXsW9*vswMl)m%#6`bAdH+kl$Jy&KQV$1YCaH?=o34`3jbMK
zdqLV%fn8;~)Z9yGL~f78nI?xFSSlqSHIvL9lK+64?uSgMqHsiSel}5lWU%Luemari
z<``{4vV@SPm*nT>!$f(_KtkgLYSASnPnp2Bw)Ez9-Yi4%rauX-6eGfJdux*bL*MTJ
zqq&z`i!Fqj7*sX~sMs{}<>z2!|MG9ux#~Mq&9eNCIJJiPViF9#56CO}zXkRA6WMBy
zhDvDhKDDpPFJc+C<;n;Y!s2dd5Apn8m7RGs)$P~+Rd*>e9EHp}D2|~JNk_;rlMDxO
zQ093ab54`WOs0?wnc{E=M}|xd#uAbvQ<7w=jD-}>{<xpt@AuDlJ?r;;*1hi4T4(yW
zKG(Icz4x{E>n*4LJVk#%!ZfJZ>r0~cvAXPSd}3wYW-VF0F@KWYpxL7NcSSr&Vj6^(
z-_jF*&f%rv>FGXkA^TgF)lN8FS>-xk=t*=gjd6|Ev+j25J@W1M3%!8;^?Ihxmwg%@
zrUyRKYct?mU%V|W<-V@SWM+C_Bi7@b#~VW5<ixwM@UkM@S>*-ES}~K<XL^dwUJdE5
z3DZM1w<yCVYh!Z?5Bb)jlakEZVzcQ(We))Ouno%OkltSi;TSW{!e*O*oUiprt*ulI
zOSTnp+gtnX|4DQhNl{B<VHjvHV!PGJe4k-pFg9DCw11&`?W3ae{%~CzJ-L0^MG}ek
zGwa=@H}93c&I)6REpT7?7=6i?(J1B3l#%z|(@F8F`WKl8C^T+~0lb7=w_Wv9+EE>h
z+nw2~jl&0D?vV1JUwHR%RysOja_zpIi9cd$v{bPWdcw#%JydSKt(W~oq4qEC<goJt
z)EX0#)=&Gn$<1*Ut0wIxcYLlRPfAh1p*QajU&5d5no=|Jj>bQK`L^hj)SBl-e{Go>
zlVo!0C;sG0vz2q~0`2vIYn3|FL624*%U*AIoD`xo-|+iocs#fV)hm`md%#rg0<R@F
zu=NON9;MOCsq>rYNy#SZ7T^B+@qD%PRk`X`$4f?5^5a*Vbss$_EmQ1yt~Z?`wbFa_
z!*@x1kLvteBYYD3=&`&2kvD$WQRjCh-L%66nAH4}BWc<hG#&pC+Nai1oQFk95qE<@
zK;J<4=1>36d5xQ~^x)+*<#d9lB_M~af4yfulWl)oF)kiffvK)0qSm*D*$Tt-E5qkV
zmF6#r_w>#{SE~Z&=mSiW@B4cuVYbzo)>Zl+Y+A?I>TOjY{K^Wuo6pveRzSY!?sO=g
zcBQ;#$XUO_^I#~?d=z=e*O6c6ZQ|<!UM2dC8d87RS0}#(<0Zrvsmj87Jm*T-1H(}G
z{Tp&&Gc)bSU%7Y(rHh%Q<e1x67CH|V?`!Q-yC{)(n2=b2@e_b<q|{y|cG>D@{Mc7A
z^9Jl0-&`hLitJXCBA>nZVL_4T7<TnoASH&R#U>8uFIPpHlsx-#tW*E1j(TFMm&e%!
z5|w+-`SsK?x)7WM0v$2}rBL)*^;^(CuT+#Hs75fvKb1vQE*SH3;sUYB!h1gIt(syj
zdE<zjM&{$t49Y*T6<w~(-J|`Ud_A{p4|*&W)=TJB>63j|@s@Wl_faHiU+OQ=OlruT
zqJC4N>Euwk^l%r`(yj^O<EwWtvOz4P+RX6ykrT^cn*QVdA`|(er>tLSII3c#b^8)^
zIr0X-0QTB!z|kgffztTezO1mQ`wG-Gl$_dUKywe=te3iSFg)bxAcb?__)t8@(Gb4e
z><gs*n7(e32s>lHAq>1m##cpQIT4Fe5p(a6F;UYy++`0pHa?j+czPs+>?bhMgAu%i
z_yqHC5*_dP9ZQ@ql{%}NH)xS(c~5&_3>JVzk*^u~sPJi*v0D11!vrhlvyDb&uOp3~
z&I(pN=XaI!aP0n;Q+Ms}Z+H1nh+hrjdRzq><H<$`7^YKe>Feeynfm)4e3lv+0RavP
z$1;VxE(sYKZZi8$rz6IT9ZUk0LqNvHY88NRH(2;~h6D1jNb7*9jneCkCs`ZBOJw>a
zP8VmaDYRYQ8=ZPY86a5E3YTnYhjsCZ<rW3*eWbD4j5ja0az#Bkk`@WUP?TJ5_3Rg<
zaj;Fz7bC6p7slPUEPv-0Hq?myy^xX-Ad<GZ(YpB6*H}(KUoLHEL;oA6f!X%T^{pQ0
zW<_*)fjSw=3k7)pp7HrZU$GCbO}|@7e|PNx+WmS@rHp_}o?Tz<%)nfo5|A4=Kj0em
zQ@c#@ALA#U-svozo0nzMyY7{WHB~hLNEf=`;Y1R=@}<-Fzsi*G6B2X({0a48@=bc}
z*2_wCK4rPj*eZL$N}!?ZR)g51*Imo!M71ht&*ihOFO;l-Q1UtG>kYIDs*pVZiv^1~
z^@;vaH4Nu3&^R}_y6RtT;c?f3;_N(kX*xrA7W?FNE@RKY6Itiv_PNQ>ptO~9uKl7M
z^JL+viw4hnX>(7x??OOu-$*_qR=8Ed?M>H)lSL`RBif9ZrFZ%%4S{437ByD-o;<nX
z+xXhSdOA$5)z2huP9vk%wb+!uv3h-c_WCwtjj0t?d=PpaMnbR9uPYl!X4{7s$si4<
zj`OxjpGYj{!JjP;N<Un30ghPJ?hV^|RLle%5*aErBVE_6GqFu2#bkw@4<>pgybEhu
z&_5IS=%8V%gAum*S*V=&6?tbFa{h45m2>Zp{wDtnu<J`9zex#;?`%K9Z071~CBl?+
zar24g;gV#~n}v7@`h=vsnRn5(gojhycG0af1IL$-PoL$%yO9m9Z{+FIcI8p{LJRvd
zv~vShZ#k{_Y$J>?<gX;Mla*4&I(fyF=IBOt6$PN)g3_4#$FaJnl~R^wDSDlRKHXK`
zQt`xMTr~K6W1^{EiLOsRF_f`kHB)k$`tIpDI({X;F7r$rojbx2J@t2U?ZnkB@K?j{
zAV&gCz#q02oBER<P<J?gMVB@{vNbk;>`tb&XVc7k$LyFU_rLCQY9<E~M+q6Mff^Yx
z_Z!^ptK;k%u6b~&g<wiNmLF9Zjg1`}x}{4taHM@*!IK2u=-$gW7pc=#!wO_gU)JwC
zLU1h3+Kzf2o>L5>b0?8AYR*%BkStYu1%3zJxa94V>3a73_2j3b_t)fO<MG8E-Da`A
z)XpQn<gdtF%_a_Q)b}01>$N6_$$MD&`x;|R!#GoHUoKMT`Kiy^moB^X_Z6yr7`y#6
zja;7Rx`-D~$}X?hJ%6~w9JY{Qq!xg7IQ5IsUs}rdY0kRPl(yh4@qIx<jz)v}&0UDx
zsQMcSwAXu)GXf$D6f7K5pPrx4uP8LPl&B+cCl(lOUgV@43p<~ZQQjXkdg#X}D=8*w
zpgwoTda|>B=4HJu&q#j0bnw%@>cDv=QOhEo0iA=-CF-m5Y*X|+E7z1i=0B|++4flY
z7*<vEmOf5-`rD6C-Scd0(MJXMM=)4CXB$CVvszkK^e^2qJ|XljohD;MetVcN>Z!5h
za(|zpyN5@KpiuSw3zXAT3-!4IQ&ID%4kb~+4#}H@k0U?MG%M5E(r%~W5>I=rUu#po
zU*!~(O&SaNh+P;`5^qC^(=a}`OAfc5beM%R^D&H{gl+Bj5e9hr!xw?MU&_|Qd74$k
zHd(IAkykqe^T4oAC59u<{oSFGQud1MEgk&!W{)V!FrjpLx0}AarEA!EJG(Z8V_b$@
zJ*R|UIok=fwNXo~dO9&Dv^4&t;rDX+oNJ1;5i^WKiI4>;)Cw2PQZ^5Do+)lO69t{}
zQkk~={@GEYD;-_V*`<Rp0X#&-#iNBE#>i<DcwlUKlpNGYRica(=PXef%l_K$9Qh9H
zrX&ZHvZLHuw-&5}9Mo~iL~LjS>T%1uD)niF#7Wd41zM0uNo$mLD=u0AL$P9yoN>OK
zDLCnJ!WQS0nQYfz7Gda<ht12qgc9j=R>;dTPBUDJ@rbyF9n55RlN5sIzN&o~{!e{W
zR8&Nz`VT((%hrSG5$)j=nXvjs6EzkXs8ETKi7lJlOS4!aR+L3VY`njg%o)MfKVv~j
z8TkB9n~(a#_<5qu(4wb;nM~H(h^MBu@|lv!545fj9@`GNt6FKa%TD|W>0)%J9dNbN
zxx~JL$BLtDVvKa$CB(Zdgj89Bvj$%ZaMIDu?Ap1N@A*j=T-^!yprW^qDNNJ>jolvo
zS^9No9R_1`F464WO-u**R!p~Iww|0*vS^8}5!-96Pg-qBrBAK%mWkqB^7UPe!u)9_
zCc8CV#JgB<PU_F(DJIA4Ou`oAYA?L$#Ee`_(~n#*&!hCwB8-zcGEgY?74=u|+wj5{
z@3<6D%*`MkAU5xz>!n}X%R;9z5)~Dt5zpTUiSA*09fBJVwjkw*NLhl4xMpMoyBjxJ
z@pDPAX|xutf=hF^=BP?*Wfx;I{`vEWZdXIvZ;NNNLOyK`$`bxmi7t<R7yD#BRX#2%
zcvkCFii8n;W^nK!;=83^xTxfcy~l)T7(+J3_8%$c4kQQJGM5+yPn|OwxLNay1j56Y
zEZ`UU3n25Cxul_i_$Eyn_M4K8Cx+@N`p??f3rytab%n)m(olADd4)&GlU#f~!{(+A
zd=)x`Jc5vEI`ue{Gz!%&Dq^c1DHEHOPuMuGaa^WL4$U@zx!8pnFfU@Rt4I!1=Q==*
zU?P-I+1qv6<ZdRmRCHl_BFueaDSpXzls=tg-<Wv~Nakfv8Xz~sva_K2q2{Z?uH94e
z;{#wb6F=l6Gwimhyp+j0-ou^ekFlNqOv6NOeqP70ndb=;4MN+b1N!2R=bG83RNOSx
zh_o~DG1`dJzDkRV+r0Kd7*G8eEw3@AlFT%I+$&k(X@|T9#fvAeP|DT#M>|W;Sq;vD
zl%E03{!ePOZk6I`+&qyuknZwSmZqcYg$`rbW)Ai_uL3#;>-|Z^XX()*lShJ<a7H(j
zCCRee@97tfH5_40h<UtOkerIL8H#ZuNot7am6o?M;w+~gJdqd_(Ke*L*K}9YD@_ZQ
zcTKEr{dhD|e11elw@vyc8%k3z(xsQFOzB9C_F9tDx2m{Kh580V&H{h5P?lVotG_LK
zB<>V<_k<H1wA8cgg{7XY?`CC<Tpt@MYHNcbYtMvnz#6vdl(K1F63K1#;mi2Bdp?@Y
z(3FrDWu(JnEYL4)^O<XewVFwQC1r%_6lP*lc_-0*e{N#H1M59zrE^Md?p?BCn#t@U
zwA&{h*4R=h(dIp7>SAstrY=5>@7}%3`UAUwia{<olR42C3<hV9RBI`hR@mZ_jk+ub
z#cAnkZ5sW@97LXA5>P#ZeJ$_XzdcV&$&ZTEQsByBGt7+<&T9=|GIF(TGkB0zPGvik
zs#oFSA9FzFZF{&0y6Z!H`vgV1PLXJwX~!e9w_Vd;TU)#A9L$N{G2|J{)WgC7H}vO1
zb9qzKx&6B-0q6u#42E1%GE(Ja;Nd~Z{^?;FE!wI0^f|kON0+gxPAT4cacS*Ir72fR
zOtOZte8>B?J%+aGQ7n#Q=f^PzY*f8UMIBO1bu8V~OGVqGBHqcLY#X?ss=CV<dTe^b
z4UuGT-Qk^!>WuxGW`{6h0UH3wneLt_a}m!RMp=zy1&tVv5=yzcWdV-Lp65=hN-zBx
z;L~XCpr=7Ul=h3;L{Dtc+z@6JZBa+td_a?klGdQ+(UWs>b6>195Qva|$~k@!eydlK
zFsL+}pG2jBNXCJ8rpa3G&2rt<aJwZv1vMheMcAARDAhCzX&o17vG(7n47_P+cfBG<
zk+Yz+po<8a7R4lxVD_2aUO177xWp?aCU(GU7WOC-J2GX))Wzg{zi6R~%gTPq-h5Ss
z&K+%u!W)*n=Jp`H^5LUYo4aKS?x$k3bT2zxPlymr5S*Q<1xs)B&Y8JQ`1=tdok-tU
zDZOaUf4b6Q-uWmI*S!ngJN*M``DL!1@7EFw00P_n)KsqzPaZWjeGDSmRep9WDUI7J
z&sJ1=ye;+>AK$=iDHCs=lH2Qfyd91xsS}Ows#Z)0sII>0OZ2E7C`)msIV)$%X9dSi
z9_HZq`kSzePGxOp%8jI?q{Koz3yplxz}Ndo4R}vF#qRR+n@th<u2o&t?Yw3WyET~k
zu^)1H@HrGW94^_s0)5Pzlz9@<Yg%gBwJ)(c-9OJK<*^ms!h&4=c1at;5l;>9YgJgp
zU_xUs45|II{>PG*NXq+n+r`inIif|_BH>x%%g0eO?w|JF?2N#FKHC=bFd{8xIo7N6
zh}*3eZXv@#zv^FXj_->M>y#kp)w>6otQ|K&Ml4ptvWA6A28WxQpI`f4#ON<<$8#%&
zqd>U#*n?A;d3g@=0wuF#(dL}zvK71bU}~>J&OL7zGMJ4KlL|mfD4|d!F=TCku|YjZ
z4og~$T$68Qg8M1E&)Sl45$uw8<So7xz-tfZi(sG(a*(w-2+tjP^r=Xh1?lA+^>M61
znSKO^gZ`-W--lE-A90P;l$0rX3%FI;opm*E_aN8j&1-XiQ_4)$71<4MvK60B_}zkU
z&r)>m73^8@<r9L<^Z>G%uDSvv29A(l1|y<WZ5A8Ol!%TS#^?ks2M34#QrJpzdh(FF
zsPW@<TKx39oj=r_L?QtXEyXAj2X7NC@a2P3+nF=Sw|$}SS<%te_2UD(*1?rI4+(6z
zTAYw?fJ=}CSrl;Hqet!&u8uv($Kd+13)v;$TBbvW3$74BFNSqU{+$DI6jCL`<@690
ztC3;^fXyEhisQboCFf3Vfg;SW%kOvI&&%amwr8ejFC)h&VBIo@h56%;vqf^mf}QW!
zyK|te!qS<syD2~a%PmH!A~JGW0MCWAHnx_Y@#f(fKR7Z`V&&QSvN1{caV}X$*g}N}
z)>V%Bo?$!pn-f0OE&J~s^LGFC-L?I#st3XT?V)EzT4oW>9Kf5z22nfj?o|)*V<d4l
z0CjQV1<>ATum^(P1%f7=2p0$(Ya-H+U%PRx*ek9D=9N9%0RZbi)Ogv*q!X%L2i_MO
ztJ?z!uga<C+^8vF>$Fxl-^Oywk?GZTDhYCwNPZGmf3MDVZ=V4q;~hp$Q&UqopjiV|
zNaXxn9E0&?|MxGl>OHObX~ch?Qp3T?=_Hd5${iKm%<AguFCTDWgS}Za_anE`GO=2Q
zS_hdRD7>)hw!DAB#`@Bw5L_UCbZc7-R~2BiK!H;JtX{f|Lsznx{x%Vs)N7-WrZ>7?
z-PN+)P4)FxK_0N%vU2DfYP6YVfs2vW^v*_Jr(3=85#O@#p(1ZH@W<xX135R`7lgyr
zl(+M0FW>J^vWv7~kQ8s;-hyDvje@YH_?aPkh9T-HX5m;w(!pOkp}Kpy6W$Omc{cD{
zEgX0Q#Zd$e99AAhe`l%5oe7q+a&=I0^}BiVwZFFy9C|TjFC&JAtfodtNXUofXwcAs
zCSS%>N;U9A0n=C<A<TAw5&-kM))guxSg?yK2H|iX1>-S&|McF5g-v~-If~_r#B--y
z-xmSxY#V9)1rl5hFhli@$$EckfysnCR!D)E>il#bMLtW%dtlDnASQ2C&KHqMvDsQq
zB_M~XbaV>jpU<8CT>vwo|6eP?T4-<uSqR<}AotM(><K@fgYZQ+q<|K$3RhVkUED!y
zp&)bM&5f#aS|!hmB0uDB1$ZK4(?wqPeDvRo@Z|36=0F#MnZ}wBj0K+~Yu-EVi3vvT
z>Z&t}OV0H@;M9}my?dX%r_rv>>e{d+^cyIX0RCFXOyBq#D$YQqL=T0a)i@<Bl94yM
zL!0=!d~LLh%e#C8W4ZH2pi&$+$dW+Axl)$$^=oA>RTq}uo?Re7of#S^J*lIx@-zdd
z)xwzv9$e8~MPc_`H;=@92H<UHz~M2GbiKQbpu`32tvaTCjoml*(7(82F3~o1lLM?y
zEo*#x9k%y8>pv6c(FvcHRTyFSm^cp`eJZ`hhi5@vwGhC)n%YGT8_z`s;y)Uio)&=u
zY)>fAb#eI%-96zw<vBTm4cL7LkKCI#@10M+fB$Z(CYZr8JJs?PAm$xyz=B~-L|!|{
zeM+<e8~lQc!UvF>i79E{FCB#T-K(x|&hJ!GsPKQ{xVrPh|IeP?fP^JnH?S(OL&2rO
zpL1gY*23rp^qM2M0jGyP8mGANI+>wA>b`qb!ea9x&0Dtf`src$l>wr79U2?n4-EX&
zdNL#FSvSQIa0H5AZ2b86eD8j_A)g>E_^0t^V8Gn6U;*9tPjbGbanOMC1QJW!+V#cf
z^iFTmu28;@H*dqyTn%*cL-nDE?tRGg^B}*l)*5Lo`hP9vspHQDr?r@!1-K?f+sApF
zHJwhd94(*=f4-kMZf0cU`+P6wn{?S};O5m&+~pZwXn+Dq;ILV^A<gs9Dvy9q;J^yO
z>lf;0lmWniKa#Vt13t4>y$tk6*+HM9^jgg8diF7Syw|;Q_%iFU=kpKe=*P6Ik#?-E
zoknc~P*8uJMGA>jS;62;LCb>A2O0mFUbt-p-jA%^3R`tN9=~>%F~<yjhR#{wzrTx)
z8iooc<^quo^oTeUX8RwX_EMg>edw6}17S3R>hnFsb>ks?LgAK{7+tT!;l=e=P>^X{
zoIGDY*&gpzF$Z>?BLNyI#5sMAI%Sc54IxY5Q_IccV0@q+>n{`+Pbs3m?Cadcr`o1M
zpJ3FBLhgU`e7pht@rJm4Ox*9U-nxep(un8)#-=YThwt=Q&^Qw(VEL-S=LPbT4Io2V
zl>a=LPgIPP5~lb6hieZXPDfSqp3x0?>D}=Lyb9hbxUQ})i}Jbg=H>`MMy~qnbtD{B
zyZZ+ECR?M}fqtobEC~TXD+Z7wBmj5?sDipUW~JCKH-05Z_lo5orp71lriR%(S&THn
zh`_qZ|4Cjv?TZl9ro(&kRHLWa05JCqz!2~|P&D-s(1r-r3$}$aTeTjcGdU#tgZ>O+
zd%p|8oVxrEe|AKxEjqE&-lAORaX%VV7sm@Vs{jgFU0bV=)Y$;Y?Yg+VN>N{KND10~
z^41cY*=@wYntNkG2+@2)Wj}=m|F=K#sZ^7#AUjLOD|R1tku;o6WSC3HJH9!Bc(Ol=
zkMxP(<L%vRe~_11Y_FAy&aU%+>W4H<%*<*;8!Lz0oq~M9DUIrYRv+-~qC*@&_Cx|L
zq#5^zcqKPz_Ju=UH3!O0@ATa}AH%=gC_8GGqo04+pGj;ltH!6z7{0TC9}JLv!YN1w
zHcaPJP@9F60CJRULAg~#2h<%52(d|CjeKh@-?UJEsY(NfL<sy0sKz~=yR1~&S|;up
z_3q6-EQs3`ZvY<cHDGbGCeRBIpM-3}R0lGK0}3`r9Z$4cPbKZ?&@}*OEsQtYxRGEg
zu6b*9NG9$Xh8g1oGltoSq4yj^FtN*{W~{K<8mNOXL-_u=8PTx4wTbY!S^pVdZ#xZ;
z-53IWMAqWh46h4W*bNYI8Ew9P{X?Z)dmIAQ1}Q$YjK?rlYIOW2QPUUhP#U>IWcbz(
za*)PgpECQU9Em%RBMf@DZou;E&)o*LUWyUg$kbFGESER;hl!WrkO4k>d?{}lA$;nK
z!DN9yPyVkTY>2Q~)G@Qxsrss9bR5~gw6<@!Z|QXy%&eXbD4Gtmzm8Jzs)Cd`*sbH~
zdeCm=9VKI@w|pIz+iFTVu^?m{!EYhd4X6PM`t|{lhJU0MehmPa*MXJ{bI;d*-;B$h
zJ9og^CTIci&R!<H(;f`5H&h{agFgdxnsw75|M?~ihF)Twb|V&*?kY>xzvXNHJ5TdJ
zS?2%AVZ9L#wAza#5G3O{dAS9ct^QCt4R@Le-jMa#jB%fKKAmE_c%`T9yWdi*gPS0}
zv}g!kVmdu~^4g#EU@ZTZ0rVj_lug22Yu?R3+~h_xDA@rw52%`e{9J_A1P55mP>uN(
z89Kn4iVQw_Q~<d21R>3@iVWax#UhS_Btkp^3y8LjDW*{V0_zU3mtY`aknJ{>ry!3I
z`XxcLtYNu}5FYuI>Bz|(GP!H*FVc-RSOJ@nkoF}vKfXP5IcDa-hXEZSoIOx*!N>ND
zu5McB0f_p2OV3WI5Y<8oFtbixIlsaTWviJN+$aFok8gdb*7%($oBjr{dX{*+T=3#$
z)CS<6w;LBo1~}7Fb7`n*Bxu55#?c{<#y?`d{`8oCKkQ66;iOLRx~tS7W?*1s4Aqt!
z*>iPdLj#?lD^(|4`Vr!vY#i*AGq(X+GY6!#!iZAq#@}!ko=xO#?J@ApA0;znr`teS
z1a-q_gBL#qW6#;XiU6J!$iChl1F$FHOE1Fc5D25-c}E^Pz6H0YOgN~@DnY0PZtRKD
zqM`_mys4?FL&q-=!4ClY5}nl@-vsbK;KO=$+&c;$NXv~~saAnQus@89ZbO&cWBrW4
z7YB|Dvqgg0f?tI**uOKH%5xnXcflx~21YjIxxmQ=2@1gGT$_7e44#(rSd|+J!qdFu
zy>u-WZXOEtQfSa3a(g@i8w+1xhMb$}3UE)Gt#B~wdmEO3I?S2Sm#29G)QWyy{t0B2
z)_=v2z&9^x#ZZ1CSZtc+_NOow1nnx{+=rNn_;bIDy7QWsyTl=@;?}3k9ow|}PFM05
z@-|Gt@aVS7<IG>_({2>2r|y@)FP!gAF#<T4OJ5x$DzJCq+S)Vk<8ZSx!{Di?c)i?@
zrOWX<rkBQgzZP6?NBYx4Z~z5$%OUTyk1IjAGcYg!`XcGlc6TEXiWnr%l-HlLz*AoW
zyvZtJR{>rO(f~%6F1f^{LxUGA`UeZs;DEq*|AD$|V+)I`z%T}O{*RWMdtjM>`|yl`
zf#D-e;@48o-W=)wJp=KSi-W_|=hkRo%phu+^!&ksu#@%A!oTGNz#S%S!pgc#`3tHN
zmB4C4_EZonfYF8j0LD84PTO+2Q$0K<5XLEjFqcYQ1;q#8ZH>TkgK)C$$$Il-+}W=^
z+2dcQ`=9TJ!ze?^!Dc})DACMuEtYOCH`~IQcxVk3nW$jY1~d+he)#Z#H~<wu66msd
zOaZh+-1%Apr+Ts8C7J>xYRKm5Y`=Ow<Y2)Il01JE^eCt_^fKfdspo#DN!u~=DZX#m
z&Q*_ofd?F=yYVFOeA(`r7#sI*9rvzXX@t3{F3cTUW>HNJ*@QuRvH1lAMj<MC#(Sk*
zdN(9E#&;f0{|n1kEW8T6OZtdxWia+*!xXusj14uu)(k{-8}H|P;k-yd`PxkHBlI$q
zOqUcd!Qf9A9E69?b&ePu{nsGv<iyDM*3$^=*7_tR{u+o#v9q(wd2PH6YBDxA7e#wD
z{|z+GTi8Ui#kX7f|Hwfiawx_`%aDGr!aSF^!JC-)gWZeLva_3nhxCm1C<HhUkW8DR
zWP|=+@1Cd{B<_XM${J@Z_+T&Yc$+rJ4<Z7P#Z$0wbqkEp%Rs9t>CU?yzP{GHJ@$Ks
zl3lTe^?DV7LRZ4JQrISK*A}5=Wi=Mmyg3GZ`A@PvC3hevFlHf+HZIh2X+&sFC&a}W
z4f0>_EHWg2mD3NYBT+O2iVK&wA<;-1xYqwL5CV1gM(tYpbUpcMcfcVLj+`Ubx`G<Z
zA3M|##NG3G;X#8n7cX8EM8mG9FA3HI*oAj?yelvV2q+pDPc;z5(>C1^HusA=uu5yJ
zOOhEzGU@}4o(ELODL+3rU={2Ej}7=^nm9;ADb_~LKV1vxe>?20a@NGsl1GZFoKBc;
ztiHbbHJlX@&H;haAHWqKt#o(|O%w=|6CMjKVC?mY=07k+T~-Qw^da_sac7aXMthO*
z1%6Bt`LXv%GR^-&f9z+<Lezq(K7I*4&SG{H0<QUw{=mcnYYQ#i2&@_^Ts>yr6+8?4
z{`;lC)*=G)25$LxEdMx_3?i|$wY34^h@$uy>_>`sETI%Qa|KaaBdkN3<zrI2$Aj9k
zpT<ANuE2vaeth9Cg87HSRqq!Y0Gd7rDWUJ~Y!@1iqk*#JIbTg1hL#|?1;|tMib0a+
z#)b7sf$duVStAq|#O?XoNmrM9!3?Zo4RHL|)+e&CWs?dpEoTSIvm;7vnwv7S4jt3m
zFYt348bn5~elIC+st;PQM!6{2z~HKABAFyb@Du>aX^^Rihg4Jt_%xvkH!3SD7iSQ$
zTS)HrIc9?@%+;vcxRSCm=36-dn_w(}*@}au*^t>SE-wCZtp!wDn~@aH3Lc&~3|A6l
z10omyhQKIfwnDP!#(hXgztkBx;s^OJ&^CdXYa6tLJHgl^i*!eZ?3munMhik7gq{;b
z0~+Q`D-s9;j4BZFh_H)5PGcJe%myq4C@k25mI;C*9sIQog0yo;3konYm#WK29`JS%
z5fM2#Il!eifc3g1xQJaqRBNuYfRNz=jKgqm@Bi_Oa-*d{v;yAw5TdTL3k^bO=-YB?
zcUo8|g$c#4;4Mf%#Jy^tK-jVP_ZM2mxi?2OY+pcsA8fBdNLr4%ItF&%y9AM_K~fYj
z!(9#9`oTwEg*XQhlmq-*H)Pd7m@X$E8_@hA%uA47>VX&p(p8efLJ1uRTn$uLYMM7X
z5`?k=js`opJ^aA{L$g}J>lA|$UC+ZaD=W7Ln_!y&?I&YNZrDX>)IXpd`vn~AnI;%)
zl^SF!^O_2?!5px0ahU~;HW_dqq5)_xEB@h!>7`2>uq`SBxi(&TYaNL?oO<}j*I<Dw
zgA<GNLL$WXsbu5&h81v(HxQ^NDD_sl4v^uoeII*vnj;$I4%|P#ibN8Mph?o3kg4}j
z0XBwM*oDTS$*u<Gtllv{a7vMw525InkjeGDkV3oh`FkbYB&4yf>Dlf$he-VXKY5AB
loBu;v^MC7X{_nr$kMeCd=^yP|>T1Ymwbd`+%FbWD^<SDE7Qz4k
diff --git a/public/latent-spaces_files/figure-html/unnamed-chunk-1-1.png b/public/latent-spaces_files/figure-html/unnamed-chunk-1-1.png
index e814b400c7f69c9308365e15183c86a03cbc64bc..f7982c054bee94cf2954bb409c7a55e09b7be4da 100644
GIT binary patch
literal 112963
zcmd?RWmME(7%n;{2q+*ZC@n~*w3O0a(v5U?rxMagH~aws8A`fCDWyh%VSu4WM7o=S
zy9du%>#TLxI_sVf_kOvvRK}V8+r8iSd7t;$M5-#w+{bx}1A##9%gIWrLm+ovK_Iuf
zuy2A-{BBFefgksrWp&*k5Q-0&zc=EScP$_gYKWZVYYp%0jahwr!&Ad6^!&@J_9GuB
zzjFeiY6hZ`?l*rs%`G!mZ@k1O(GX9Gf@&?@{rZTRm{C?rgE;iIhV5d3c6*s#DD!`h
zur+R|oJU+;shkhdxp6MfzZmXG>Zzs>YG^$6*{(;N9vf`LFeqgYDfS&5HOyC){XW+B
zJ8dQIpUXoFF{#Vn06m02;`lr!?_9qN=9dY^!n`xNO|WqNCFzaZ-q&AALvB!F-UJiA
z`adZ0x0`+8FHX0!gM$)wf^rE1J$<<0157mwl4iFr-&Gp6dLC^|)mp&<*WTnk^<=wl
zAt?@mk9pIDP2F`1^M>;#_73JJBnEO*`1%cP@c*xi{QO`Dadwwd8{hQo=F}j5o+4i~
zwrZ+<8_dnZ?`K`N{A3f&&CCjaS<5mlE2#U(6N;x73-a=&z*asOQh-9iNf8kI85X(3
zbwt(idBEYF`bjpOch5U%g*;1EnpjjS6jfB>V`J~PN@Hf5;lT~cCd8jVmYwq|0rR4@
zKGG^%7gSG(%p6K;kCvu4k7q|LYf~-mH_Bd@zMnODL+rJ@ZWSVhB$->^>C^GM?5rGX
zjYN_py$ZhaJxrl&otQ4vC*1e{!EJqV8A89XDvZ_9$+@D-DYth!3x6`ruse9R&Ps3)
zfwEn4GQs`3bVc^{dO6ArcoLeLZ%Q@tRhz8l{1WN1va*DPgv7B=6Ulj`uW0uII!Q^k
zn)9uEbKLt8=ngnO(v;wKu?^)&EvDIE>MoSdp78dc;jGsL8-07J)(#@|ynK9oA|ma6
zQ)_Fst+NwGKjkY5P(>Drb>p5Dtz$mgRwA{z`omM<4y4lMeT{vH_2$f)il|qN`cZz<
z0f%ty{=UBA;$mW{C!=pL2VX!Jdq=?0f4(yi?dvW$(6s7mHH0%Hsnk;Hc(^w*(wid?
zXJus-MsVocKI^Ct)88j^^DW1E{d3bZXEV7-CAz^n*U{m}rh3Wesp)}M?GWkz9IU5?
zV}9{J6N%DG5PP)YZ^D4rJyxQUw1_#O<Tq~$$7RLF#{PBXnIq3CSJ~prOnAbwyLP3!
zE<CXt(5b-;x8*%e6xPg{FcZP+c5Gy6v|#=+Tv^m!AZ0o3U9NU!+`A5&vo6v{A^I&z
ztPVRU*VTUa{Lo6|Ny_mqIdrSgD$`_~5t_d~{znuyDEkMfqp}hNf2B`4*qdiI_B-{<
z+t2Y8ZhpydY}xiAi<M?#6wIX!{d?%^s&CmA^CVL|!k^p8M=Jp8a{eP$t2xDRWJrwP
z$)iFxmPe-64;mrm)t=S3S5IPF?;d-7t``Uh7F@~?&I6b%CWaaJM(U2F8=6Hs*c%g<
zq`8a-y$<5iADa?PFsw(CVZHtjYMV$WU5-E6N+7OK=gu)(GcB~THk!6-tLKp-iz_9s
zrU~c7BgE}@OC*cTCaPS2u<e4Gxoqm&-sCJU<hV3-lDO}wqY5My9EZz)uyI{=H!F(J
zhT_%cPix{L!*cxD9+)9K9FUL2|5oo39sf$o&f3gyB>fQXB&+{7ys{Kp01d${|LN|a
zxf_=JBF;={?7@}kbqkD`7FsI7>K^DzBR(Q)3~kO|kaqG~I_RpWsi&yRN~whshZ%Jg
z)t{GkP_Btb%o6(1NPfg=vp1&y7RCDHdyg!S(%7NjWi6w8L62_%PV523dM*%r?q-Kf
zs-Ocqk()>3l?@d|?RB<xeGLh^N(}7+csJ*F!U)1mv1y_z)L$gnlQc;15{viP3O9wU
zc#B=`r2LsmwK^6mRW9$zsaCdwPO*6f^mm@yo%)DPnDx6nKr>x;UJ@M96YTdUc6NgX
z+`Lj{ViN-B`C4&oO=eHAB6>XntlY)YNAMa}8p%@a@}t@;+$?zyHbW)-cWkqt1n2Yu
zV40fSWBfV(w4J9XsZOUA&Howi*3`#9Kd0JhI%@18eddoEDCdvnHd6+dO~v@ZxPpn^
zLE=$`T4m2U=-r07bNm}wgsKevm7p&kN9zC8{dPpo!7SOUu{#pu#WXPN$~|_FhbO#R
zc2(-=o8|b+V@=tnR>04rfqP;q6FIVF&ZDBjt8QCB?>PfIa5B*G)MJ9}O~c#=dSB@O
z#P}5fa<Dv9?M57NW)6lNw@-6ce^xZ*Kk{j@@)#O8j8Y9VCH1P(cCyl2%~OUA4N0oi
zL932@+pQS}41Xwf@J;>jOr3AvnDN9RJ3a8#vwo)bkZrszvGcHJq9RWh@sKU=huCfp
zQB;BOCpyp?WRe3kM-+0pFKy0fCmwxR8p|}l>(@Is;n#3(W;BWCMkeSqq>w0yO%qoB
zxJ(48G*zlzN*78>MRiqmbyl^L!b$bJ?TM40r9SRKBw5Oy)|AJLPOJqTEyJipMVorm
zzRShjiB;eqt1aZzwU2#(vwN%mU9zi>kD#uChPE7*O{)_wjk(I7Ox-dohs%vWNB;GK
zb9JH5*`{j!h84%^&!*4oGBPs0QV>g3vnue{C+f-{&@uP>8dhnrKsDSP*?*#qpd>4A
z2Wv*9TR6^K_|!Cyf-z3V*&Eor2e$Q@+viU>3Z<j;Jva3m2*eYjC_eQy@K~soqT{DW
z{D&)%6t!iHQG3aWHE(KbYfClOw$5c~@VY-jlf&zT-^9Yd29*Dd8`r5GSEM(~w0tSo
zC<W}j^feM8f4YPf7vkB<W}H|HpNid$t#BSJ6>6}<ZyEaOo*9SS_;C9DBv`FfgGWiB
zWGoIfQ|mv=Gpu?~WUN*~Up9g9$838w<vp6a3V*j(F=jeg;#F|J%fflb$AWRTv+zc4
zLw&6@1-l|ewlXQ(h1>d84KGoKD3QL?{S^mf;7_H!)3)>E)>&lkY-as47TMEx6zRE4
zq1cC<>Sl&xyh=$??iH6N185r2XPC+Xgo#JJk}t)UlI4P@kA^nzRvW^h@aDDu5IL(K
zO1hihxZ%rfi$}ONx7F5;$v46We2eocW6!hVorW)uOS`ZQk($f{CLICws<HJ=A6dTK
z#aQ1i(`Q{M0Zu$x4RPb+ito^ImN3u!6r00}zydmHduvA)rtgaM`#V{mp)bY6I$2Z6
zVEkbOvl<NP4}43FTq;b8*!o>UX(#sAWBuQBepXRdrW{DZ9Q7^=urslm4MrY0R;Xsp
zWjq#7PY|3Vr*a21(;|8Bx?QsQ+v6ROxVXR^Zd%r^darKTH<BE;X^Tj3@kmA2>-fn3
z@<1P~jt%8u;G^?*%yt-9-UHrldb#DXU5cetf|qB>`c!-U0NZYIdV0EdbmJ(GgDvL8
z9EW0z(yP$&E8g_UO@3if<k~zlIZ2uYyFR1-zX`~(S}I|~!)$}gn<UUf|L)Zio>HG;
z1i#2KQ;`Pqqv+m7KNY1h9;Gr3<`ns5YTLV*6=)2D#G5_KQRZM}of(;Ptk<LXMZq(j
zYFMg4Nz;z0xl2s~zzWmMKN;LsO9GTb-u$4BVN;T8BzztM)=zq@&i$px1~VuOG0AiJ
z$cuRc`Tq`jzM}HHA#nLA`89zo)BWzBJPwn~m=1Kwf?WXd$!)B!hdVYFC5NOc(sK(6
zt_qAe<6;IDoB#&)+NKd%R#vu)Tb*hhm!=*%%HJM0w<<E5m7B|+HrUNhfT>CP-VI8u
zXV~xIaQKO<Fg%^LaUe<~ltBGE@U|{KX6S(R28R*=EYt2`O4EiYZ8%dmG&Z70mLjDs
z$_4pkx5crg7>ks5H8zv|<s2Ox?l+2KN|LgH{S={9RwQ3PGi{dZpP$74tPru@>*9YB
zcD>&so^_dB^}3MvR}((XoH2v>NHKbv$T4+u3SUfPDlm~GT&TVxmLe3#wwUz5eA2}w
z9^8NV26*zASNLxos^s>f{_5uzFal`jYlA7k2?cwOpxHo~*|qFTzp{r=bB=6u%~Uyb
zZ}U2$ae8zQ2dhB6^e@SwUPp)8TtuDqPg0g$PZz)1wj$9AWo6|D|FiSix8iS^lJ?Ea
z%qY3kdNv!u_{+OALYJO&XnZ;nb@23@XxKDGU}G9B428spBr2DXJbn!AwJn41b-%*S
zx6xxy%Sul-ITV7#up>M|s8xx3Ygh+sw(Jc+sQ7>q%=vfDnAPjo*M#lNhW=7lNU)k(
z6{4}BVN3M(cujd}X{iA_e-9M+C_ykRJV`GIsg3#oKzVu<^fL-Jt$8m3n8L_Do!$3)
z?rjOqkiEVAB=1d#^93O=mR(uad|CB+!`Qh(BF$SmbB=zkdAenyoz=TBD1kT>UNu-G
z<(r=QU|yUG^eS+U_ckW`W>*cd6BIlcqV>PE8&qh0&?E!E9}5%n2`iF@=dS36=QW%i
zA3q+W(3E?bGqOl>7XWh!Oel!YJy}08-Yw#%srl45olY*1?t?zbzo-E`90P@lM@Wk9
zGzl>A(%fG8aRcJ~6BErXn6eJ4Yu0a<91ZORTHj7^MDl^gf<vUQt1M)cXHQf3)H2m{
zTrR-WyJ;yUK!O|gP1W`mh#YA^R2a<9B`8>GA*Q-ctPM><cO|N0=O6f6`S>-UirEI2
z$U)Hh;Ks^zL2$&);zd07i>DuSA8ihX{Mb{+Sv06qI06f7k^|yN0aZ+lyYolAbR1ZF
zyL!D=H12BxY#MtcJ26g}_&fMEfY}c)k*BwUh9(8o^~;k6AV^h3Z_J7NKMa@2X+PZh
zecq8g%892m7H)`(sUe2%rtpz5X}G?=euWlG9O|{g%bZFL<|%v6rhiA~FE}!J&6TZf
zZ5K-^syJ{Jb@k8TORMrL-^8obOBKQPZGDBQh*a*j_eP08oYP#}=~BuUqLi#f$!D50
zp&v(o32_)12I<-Br)si3{$NOtDIG%znjIS%Q6`pZZ_>dpp0m~@<{x?fuH$67#>Vjx
z&K)VWaBbS_l60Q={ef%lFQXOYSV&tt2cs#(Jl|9A1YGU>vpQ-ZN(;n!PfaM#SRvvk
zVS`^OI8%UmazTI^be%~Yo9TEX@rB@w-t~tk;6pLp)FNz~&vSF_nPN?UoTG1oZ-P<5
zka%?R;4(Yw=R38&SJZ8VUW&c-tkM4h{&>u{8tiFGWA1fF>Ft#)i~p$+zOdsN_%off
zQV-6}hk1;JfqY?zOXv<%*YpSsG#Vf?oecCTeL|l~0IfWO%HCZSNgMnhvF-JAaSzr!
z1}7N4c0T;aq}xYRvv%s@<fI8D&|P^Aq@*9+pgdO@tNU^N5{N5GZW(EOf@!Ah4IK+P
zHD(nteTR?}*}uKEHvjKa7Z~S2`hv-#-N>n4FLy-_c!=-IuFI}doH3?p7!L^XzIEeL
z61Usg!lKt>wzo(UM+#e$u##YFOl92C%F3;I<_j(cyFq4N2a7d-N*){>grR>PCc1N{
z?<6G?L{;9_Ej;>`qL)}Me0hQ@)v%qkxE^Du$^8pCttx~FY=7yXfq#V|jv$KQS)wIv
zx^4Iy4&zvUKE80n>n*eJ;O4~-xIG_9TB5W7Q<$rYHUq27sJkIQUU&ZZbr+kkZe0G}
z3lJleCqN#1$<bWUu@xQs&m9GsiH8KaK9_qI%AD-?VIJ#l_nurLxuY7U&%y143o7h@
z`*{8<*&1eKxQm7OU%#oe=VSRav{rxK$~s)ji{QjV&Y8Uz!92LI10JlbuC8W)+4;CJ
zlp(frrJb0!(wlu3vtNjcRtlT^k8&Sf9$fse$o#W9RuZNYaJnWvF}aJXBZiiqrB1Xu
zD>FTgUUv1t*j(`1qVCGGKJ~u@Ojev*D`NfLuctgu!v(px)L0)s3B+uO;KC3{(5PUX
z8(_OQ@y^j51m8GgG?;le3NX(@j-Pc&U;`iwHXr7{0t1sh*BkHu5!u$oe$cO)NcV3K
za4Na|LkW<h8#gX>?!7m0bE}2h$}wTFrCMk*r-<kO$2j0@cWt%Wh;E-G{Bmq0iw$3I
zkxTsBk~?fUxLjkQ+e*^(KMV~gVJ4N;!~CbVCd^x5VfBuUfNT-!S-L)A+XOcPZ_6@i
zYisLQOf0EC3;U?9nW7qTnY3c}=FJ;3Gc)lBIyuLGW{4t|HzdkG!0Xl<5921^^?((!
z28a0gc>F^_%y=R3aS*Ya6B8496%)AHvC^Es;<?p7XFjwz=u=RDm-ILoB6yYbb#+S-
z>&3Q{wk6hmv(~J#An^Pspm{YksDPL&aR77`SHd+#Ax(Va^7Hzk@37^5SlQX;rT^Yp
zr#9=MmH;JPX>ZXZM0=)u5qtYmYwn|-hJq9ElcZB=?rhr+7N9yEv;bNEtWj0k5A*Od
z9!$@IWh8^e*6wnzAl05XZ&Q^~SrI>9JwCtk;0`F`4KzbKVm+6Lrhic(>8L{N$e_M1
zeTPOeT}Rx#o0Gf`Lta6y*WvTNunP8K?+Ds3bsCYfAY(VB<Wx)|DfbYU=9^9@oY~7?
zUsFr|REd9tL0yfQDb(chn&ymQ2gK}x65fN*B-i+j&A%1M`)Fxis^^)-HsaVyv3CvG
zINHYsZJ*VQR}y^FFrev~)t|UtS!rA_1!EqD*!g8&(T3qmEaGe7MNp_sChAVF#(8Ty
z8;7C8J&8l|3NyP(3*80>Dx+CUSAzqjz+hiw429j{1t(*BbX-UCZN7E5sZMIqdJBC)
z@|<Rh4mP2Jl$xZTT}lNUoFTB%iWndP3I5gl^rR5DEC(kiA-yu|r^6=VQ9?8Z+TW6=
z6N_d0#Xmy{o+bTI98e~gfm`b16q)m{$ln)pnR6S-$ju#DcJ-SxmY;HLY@Kx^xDACC
ztCx!Bn`Hi36ajt~99uT(E-H_xf}!Ez=Raaesy03yrjl5_EnSuWIQmk|LwdK3)5xo=
zg8;OW30o0?WsTm-2rW^VjZEYd($C1wRxDEYo158hgTpmp`;XHS5y+=1x${rS$g;At
z&3mr5O&qXR*s?|HD<e4yCHyaQ;*u*~7Z$G;sTaX*1+!)oeOd_>AKV4OpmNCpm)r0}
zU2}6YVBy66HoPX7X>vh@QDGS+Zb>h5a%o6S+OG7L)t8v_$|b%jQKlFrx;7JYcsBxh
z01?a2Pa>rTxYWcRV3-;-HQ63VyZEDfS$Jja4pH{ccnt5o(Oda(#}qlzO?1-N*M}?i
zVA`~lP%#pLg=`mqN8@s^vx&8<vJm5}x}T}$UUTI;^w>Lvl88flK0mK$2P7E8pt)nC
z9vjUT-bfi#k2!^&fkE@|T^6yl+PGsQtqo5%|LFOv^z>nqw=Sz%)jA9SDgl&D_&S)%
zr`RS}(9P1z*=UTX-(@RqD|e;2Qi!xsrDQC`ZPftrNZi}S(o4Iowb`ZN;_Nyo3N8$W
z1S!sl32=n|Jw9JwU-w#ZmQuqB`*v{PPTnsb@%zR+By#+d>Rkk8F(Gj`Z(dZxSKTqj
zVGk~l+(2gW>8D4p*TK;n-1`U*1_p*Og3O1Tr+P|}#57oDhnQzT6QQ2My)JDH4M%(G
z>iG0RraoRNeze&K#_cKULRXEm8pOR?NNBoZs3&Z2%vS;X>&@%Tg}_V7rXNqFwFz!F
zI?lQpBBI~Ses({m^oSgX&M5-3PzLBHp68Uc6OR&R(60J!`+XB(cj^t;seCuD+imB%
z8B`AJVRiLli(|>y)aSc4N<#wLNYiGDxNS$R62@oA#VfpHs|Nsoq*XPPyg{_6(Ihr}
zbdlc{)Z71Y$HUfkpkZ@S^xB}CkleUDv2H}Nu&@AEDPaQ_GCTAvu$AV5mk~EO49^~o
zVAJgNc}{%RwY_TA?!mgO%CyPcehKG~`OZ@ad^om?>1#NTnXN5UgZcjXJ4^>5PT*(|
zsS#IHR(7-{^L#5+)^Tj!L=OLq-7kKO)@b76pJPi$wk!$h`IVLO%)A{?zgl_3VkZ+<
z*>+rB$GT23pQowGn<8&fJN1E_`g${w;@rIW9$oO=V>Txzha`~P9kuJJ1K7_NcFE67
z`6Rkk_BqN=5XvbNg*`g6)q!<BdXK)E(+oTjgdr-v`<>P=m%z?Tlye5mUvvjP#dNW2
z4ts}|75hC1U;u*?3MRnRx*YyUYFjYQEc1`|SES<+t<6b-npf?<*|4;BYYi_E!#7n4
zP59lCp3`bW{9=-{3D;(df5{(m-P<Q>%RY05>j>kvhkf7v_Gi3bY<*Xw#^1jeNE!}k
zjGA)!uk(%#Aw9dahL0jinAH*|^@4<}W&$J)#73U0Z+f;$_>*7vtDA5^CNbI7!eY6X
z#gu`W_dOF6vBIWIBqE+W>%Phxaiw*OT3s5+q6O_N5&d;iC`Xcc3n_NK`HLsroO4ZC
zs?Tib<kIQxm0g3*1?y*B@t-_fH_rpbM#j;lU%9qT-`-nX-VAKd^QhAz4R;|g8M7G#
zv0$F-x8x!LCfbxwtb;9LMRv9Yj8U$L$X!gIf@#ARClWwr2f!vrjfYh-TSm!Lu;}K|
zhGIHU9nCjRVz3gT3HW<9Afq<ckmxydKGs@##7j8cpo9sYKn>9lvBdY(1mcpTGY&3=
z<!R;=-9fPN*!QT3X%L=;KTRGQuBqSs?E?rHc|y4#O#v#>+LG!ooQ!o;qkESYMXzz;
zf`bVTTJ~v70gHIYuTPAcL7uFwe3hOrCR&OmSCdWuLJ5{i_s=#q>|f?|khXcArW6;4
z=Qt0k*h|Ukudl>F^S$Gem;l${`){hVz~s;&8^Q=uCk~Uw9nGG>H!p4a|0@4ZTj@vJ
zPYhXdXDAjMu;VwB3;7+DS5_UIqkD@|X0;7<Q~?|ZFf2ptdUMJ=xe-YB2qz2|SD%9o
zKEoJvEa@vn*f3pN*8zpbp-96M<csdEwByn!jtP5h8Pra(5>KN8gE;Z$U9#=@$fOdA
zZMuC(uUB9HRWOxYss-4UBF{aI4D=lD5;<loe6qFMN=EC+uaEncI-0aKOpz1>ndUDG
zi~yp@6BawTvJZH745T7Sdr0$=<gu@K#M^4`wQ;7n1dI(0E{ueTK|x07Q?d%j_~SIk
zlrVxQS-XnE@Epcv#~1lMK2n6mYob?c4Mm=)lfGuR6%EZ4^~%c12EB^3)MUVno5|oT
z2X&0XNMlP#p1vj+g2Dc!dKR$36f#SxDd)V@WCW3E=6VajI9D^W&wZ<(jM%oYhY_eB
zpvp<C`ZhJ^w>LL703W7R2Dhy@YJxhQ?yI?4DRxj<A=OSt;c%;w`DXjiD%U7{@|Iae
zAzO}eo@l_?#p(W(y%v8(u0X}A*lvCdu{>?Mo`L++*l>aZtui+D=k*KYj=of~pBhkk
zdj3iiw!BP5n7M?IbKO2cQR8(B#D(<8{iY=Q6&CqKjvM<uotyzeDRfI}BscA}nj+kk
zG#tzL1?GW;O`0w$EV)E%nor&fe0z}^MagQ!a!h8W(OB7}BnlGPg#EiW;MdHPw>hZW
z#91}F^0wa*bJS0`s;1@`PZ$9-g3_HzDKd;8n*p=$Au<FvE(Lyi%r-bk?AliZ1yvQ+
zYY>7XM-z$?0RF@$qcXI3ddwr><Nh^(mBG1jnGWdn&M*I^4r@vrZaFscHkvyc=&1Jh
z_lFTIyPke~ugBwPGoTXFT_&&IFp+1Vs!%kVKXD(^n75sP^j11phgrvCfM+>44A=Xc
zspam`u)&p9+i_Qt<%<%3n1>SdzOA0J7u~NMiPo<2D5xP3iYmy2X8p3;Tx|v*@1GVR
z{NZFn_Y+r4waz?*3-R}))If;#rgZ$gu0mi7=NCmCS-7B}pf2lUuPR};KSKZ%jIFFk
zE9fsB*8T>8a<hS{rKPlHM)JRL5d!4@gp7<OZLr-4wl542#-J;?%;^u26-~{Yj12Hq
zR<`|l2S*W)5_j65;0UGF;Pr!X*f%d+0QEwj^h7Z|2piepfE3M6#PkZXO}<}rUFLr$
z2>23-NiI9TmsA^HKP+HWCk7NBAKzVR>}%<O0O69r+~g$Srql;!`#|u+&7CA)6s|)W
z+z7JK;6d^rHR9POm+rDFC#Bf^)!b4nmx6{_#d+Q;9~d|UovVU9knn%n0P-L*GBP7{
zkd=D-m{}t)?-L&7-(I$}OO~k7HK^z1g%1eH_345?m=OtqiWkyxyT8C~pZNM)Uc?@-
zhpG~Dr8@l1(IS?Ll{Slbbkm#VT3^t`h1m2gN^aKB*GxS38=Puz=J0Br?dHJiLW*A-
z*0^TIs8GMD7X>1IN+NA;_k#=nr7OwZq6)BA-exoU9nq_||F56Np|ELMjC^5p%JYQc
z&WYsC2N;455^Of&LOxjIYXqGdoE>}A*XLRG=~EtvDJ4qpcj^DrV8nH<uG&0D4^>S6
z_6=yGN{`g&)~WKqK{&#sC$JQX9@6e~{puIQ=pwpy(}pco@<iJkipNo(0?+rzC`NkK
zOWoJTOBYk_E>r+P04T*EE}91*97sElorW<+X=o||Xsd4XMVzwh*S{8(aSRbGKuVzg
z1dv;lckHh7E|CA-g8$z{B3<8apBx?@c3!S`URKPXRg~lfPS>zXsfk`J;)`88zuKj`
z+Wi$D=<e??oFbni7IYbZ`8OWWiTT9WELfK)S%%v}=TUtX8dFlg^OD8*bf82GZNp?y
zs*#zK(;kREBk9-)a|&43hlw1|oSd9|{bwV(UXx}Jo`~n~M0cJ<=UrW_T%G1!opR@$
z4s~-}e#H;m5$fC*QXk+5SXDqGkqQb5h)P30nBUy~v|SZ?8vMy0|JQ}Ur=T8{ptG^O
z%YzcEpvy)4pp%{Gs}0yCYaB|&e~Bm$y<vsL=H})$e>TyW>%9~ighm7ftQMu^`mU9R
zumS255=<Z-0SqDaNA;(`;`MzQydgaaW~Q+cxp|4~L}w8!y~#TppWOs7{XES0By2nI
zxOM*G5C6UE<$S##aCNka-1PKo1j-H&wEK&S^+1DvdEni;00X%N+jln%x;mc^QbEAb
zGq3>gY`g#Io+=JznU&*|OKNLs65aC<^#T@0kEG7>;a<Zjm%Y2YyMP`uCBcr#H6vX}
zOHB<W;O6E|wU`|{JVC|d(o`C?zYMLxbe@P7uRA5>(Uf0cfhrjcz_bU`Lg<5vX*c*9
zmO4gyLF$;$^<6OhMu$-qE)7WYpbd-E<*<KQ^BnnOW~=+_%=x>`&CL)dXEBeL6bKKL
zz=VfLj<Qf(A>+Uo49nLgr(L0yw6$;6EdAWLwN)f*Er+tRz0JeNZH%t#mJ@;tZzp%<
z9`N98opzk`R8nfhQZ0eowVfAxgFz=Bg1oUGZACja`mIk?P-BB=?)4xDSX1POM@FU_
zL}oA<1m|y{VJSkhsWY^p&0swq4EN^z@pc|J?gCAmX)sj}f*N~kdoREkJAeHQy&6zg
zhuqBKcVcIMjuseG*^3<KdEVw;Z^7JNa$#o$%LON;yOI!8%K)N?%%^0&ZB|tdC%MF?
zqz@O~HCoiUZRAGv7I+6dLyO#v4Z+<y-l&BI?q|)<px4jN&bHBW+Z2ki+p>vtAOgWS
z&F&24lfJe>PgUl0BuBemeYrl^2xM<TzWIUZt7=xeaWNKPB)VvUn;XF5*wi4Vxnn2x
zu5q0-ylj63hD!sOlC8WXx6Nr@nx1dpzU6Xc=V4y+==Bs9?FThOG6;LVLdLc5)7CMd
ziC~oH{yeEyHNSoA+wT4{;H2K8b#{1I3E|<TPu`!AnfX+n3k;3)@nFqN+}fRDhdCiG
zE%{%^Z=y;!n*ToPk|6JfT+JPKAZl3Wk2wrm4lql+Rk<Co?I#{#mFr_Ekg`dH@Bm<l
zf6fkuFXe)|SV|NU6bywJm%%3x2moVMGhZ)Z)3CzfDO-1r&kha_CMPFp5MZ|koBmjK
zt@LxLof6^haDlz@YtP!3pfz;H>n2tA==!Yw!LaLc(EJ6}>35k>0$>TWw;Y2u>k*ge
z`71;0-AEPxx1jMPV3Y}}$B(v@VrK0gys1JUCnvpa<hE|tl5I6p1X=dy>3YF7Z*y~W
z(gUTBZ~L5nvkG~Cg_fP4U#nh419Fp2?x^e=o!nioxj9Ut(53A-iWSUAn;YP;ifug4
zGT=F@)GgejlniTHweGE4G}+PFxA2AEn+e?H2t7#>J56#5I!9ux!Q~#u)!uQ?)$ui5
zb^4n@>`DKwjObnhu!FvncRFaHP#hW!i*56=(rN<nv7@+SEGs|1^W`#^SuuF@{@Y^-
zEvZ$hJ5t|!iw+Gc&vxW)s1H<BRDdW9bWeXBz;j+DkXm9)8{Bq|)Tq~+ot|zv9|5p8
zK3+vpu`LM+&X$P^6gmQfad1R?64W6$$n-uzNAW#qh=D6vozm@h0pu*FuQYvE=h<2r
z)x`o9R?yb*xp>4%uAifq){*f=ukl5n(?#D_uh@C5*!eO?(5Y9@vDeiC{^dfn@x|L_
zgANyzG_e#o7U(lXXW-xZZSH;-c2=G%1PdF-94&rH-BH+`!;eAK@=Sosd3G>oM0D=w
zQccY-1Splg*MbJ}%{4Wnj*Z584;{1d6O*6y99K0lRUDePEuLSNzA2$>Zqsjcgs&f_
zrF|kJX`9pv-J=ro9P>T@VLrIu#%(nsyq5z`#}0L>1sf~t#>NKEQ?YFyqeME(iJ_H!
z6bfZ8iZ7g*aBoMA7(idFdc0@o*}(J0pz~Q^WsT8rW5W)A9}5eMz`#os)z!(0=y9_F
zyO-=Es&w)EFZJ~)yibi1x3A2@VNZvXr@54bl75g|%9)bNGj;boejD%4UKH_(%|a}y
z0IR|s3b)<#Jm1qaLkbc7nB7#APvtvW8XYbnu?1CT4U3990PU1fRcF&D2S2yhHRojo
z<8ki?wVjNF=WThO;=fFXoXcW#a#_O|X&s=0V(j?_x19h%(nu#)!1%O$OGA@a?jeA1
zFw}j>jx}c0z%WwPJ1WwI&w-H<J>R$i=ay`#1i5_CCsmzobu-a}?Tq{aSfUlYW4`M@
z_NRx2hG_DB?4G6hefK^5T{(F41t>30GG}(Jw&X$jcCp`6M4-N@E^&BESTA^fYD(8Y
z-u7~}6(gn!jnv(@B1x-6dZs{veiksc`0N+2w<u^=;?n%iF*Eypn&<29>)QfiHcaa2
z%N5YPfvqul)&Z68-{H}`+p%~Q^XM4tnB3glKcs>Sn@=+!@vZkKLd({q6L}t|Z7E7L
zefe*#MNmk{?|V1s42I_A)=(j=CO&5G)K2Lc_g5ODbf>>qm^q<tcu(gMR7Ga-@Xfks
zD}KhiD{6Ilgojz_ap3_v>DC3^BYChp7^4KLE?>>I`RsQ-4kGS<v9rV&^9Xnk)AVUL
zl`)Yx2*L4+`+(hPeJ)qi)<)jYVf?+W1V_`bwKmAPB+sZyOuH<gtHD9E2WyU9eDE{S
z6P)^YOxZuiX%~p|Foc=EIQ0+w(mPA@hWL3Ntn6)xwbuIA-y-dI%oGyj@^`wZeums%
zG&}t-<W-7Jruvy&V%zNS>5@RIdf&H)__CJ?JYm@PcCesR_AQlUGIE_HkqCyjvP?I{
z;)r|>`w@4?R!{Lj4ixpts0!=#N2Nnc`7E!iL|Cz}TgoAVkKMr`;Ijtv?p=ttJ~kVz
z;#i$)v%jQhb2d;@oJCGVYkP)9AWfeqh7*Wuzi(3;{u^78$H|;B5Mm^B^7FMCrFUi4
zvx3>dxl|#cqiC!--A4(eeZ^=7`PwOi7FUs-V;xh%4|3##)Y$&>jSlBKm>dDtr?FM+
z<GmBf&C5_nG9$ia&w|g0b&AVzHIq*uLobHcot~BTCOL&9aOV43tPUw)r9(p^(EuCa
zPj@I|n`Ral+oY~RpUH2X=kjQ(Xp18~DHm_)VFHp-O_=J1>RhXKR51w35FYz9^@}<C
zz#}L0_&FsI$V3u++ZV<VKK*h8x5XopA8kx!)m$i3f8+E&QToP7-j?u%HJaZZC_2rk
zfcP~mEKJ>|1a5mj&^*hMIS&TX0qv`|58qaQj@Yd6XkCNNw5PN`OHA}R2QeLU3S|Wp
z#O#YR#aC;aY}<9jPBDut;;F+(752{?CSE`129A>C_C8V&fMoj4{kZ!N-oKK!K{lWS
z@bf56ck<Kt1N?rjy7Te#Z;RRvxMctMAt$}z@(s*L-d&;J;4D4}Wb8cT+K-Hkw3?gk
zIGC>})fmSac&B)eiEVh8OjBa_P3Zw`6)}iCLGmtjI!Aui`UA=+`=Pi_W*WCANOzWx
zOZ+)9GsY9;(AMOgvm-Eq6Vrs+h+1O-W`@&TeE|5a_I440`;M;=hoF@YtZ#vOh3MO1
zMNGi94@^8F@Z-aQTk{Z&GC1(`Q?2GtUJo3E5}><0y@r-Ax&NhS&UbY%Qj$DYU?|rQ
zjjBlctD(?R4Zti?^ay4<d9}0_+r*0;rB_z9RJJzNwIBmcUjx3OL?tiq_kEBs&dAF{
z)Byzw_|Ee<hk^mbrB5DrQPml+H}3RIQC;oSPqy=Sl|c(up~W_<?!JumHz2_ulGGjT
z?Z<6-7mWsredCtz(HMxqH$Nc?qjOhsUV7NVNdD}fdY&(7jSVYS;_ecmHbunX`{cA%
z0	vxPI+(fBqCNiSi3|WO%hyrO`~IXDV`5oaO_Am{XQ=ZYi_gytp@N%>!UZ5}mHW
z^sw3{E-qZY=mi%S*8$rrr7{1D-F}c@ubw;#FjgZTtN|3YP#$B^`q{;We<PAD4Vk-g
zze7tjZ{=@Iw;FQ_6b^O#TwL)XuujNK8BUD+1ru}e^!NAwJ0FN~w17y|Dtq$P&26mF
zzI)zb8|!Fzvq|gx6<^luzKCYN>SwJo$Jyp)5fQ^_zC%@Pnj-5X*G95O87%^Wg3T*r
z!4(y3Q?2gMw)(6&z!5#$Qx;-kY4l`waI*TdvVy;$`wnRB#h5@+Y<hZn$*zVXb>=gH
z+?z+H^4kENo+VFe5nH@{`*xBShelE~54N&@9;h#+Rx@P}+CLUTDcNLtf+b;EPPsCA
zp~xNeaQAHT{97v}Ah3X!yau!z71#2Qp`J|)Qha9NTOyyu0w09i`obVpi~~R*QFCz`
zx6R>Tz<2mc(}LisO9At$6+Lr`$T5w4;wQxVs-D4+`}Q_lF|u*pY}Qd*{zu7`K*pR}
za6IaS>T;3l^2q7R)5XOFD4u<N&!+3`LMj2yz8n)nC)s3no@RA6Q+X^=JQ)fAuvn{I
zm%n45i0`o;=`>p4d=yTm!h#GFU!?vsdP_V4AlI##W<~lj$3`#y3NE}t^-^aDfN3&X
z<o)Qt`SHS-&AIt3r9(UsPeXpWL=pZvZl(R1W;cKVrY=suTJA+vnsaB!7w!Eg2#|ps
zlaff2)dYI|lg;e_rb5QIZ+x>A<0%(_0!Q?6H(u;`#;ujj%gGMt2`?{TS8ZBlhE2|k
z0P@ZYK?%2Y8j<(Azff6tjh$C=Rtx=_9Mo=PN%=$gB(%TU{8~_!NC%RH>hj&3ieq#w
zw;;~R_m}D_Hv@>X3$P7w#hI|OST=oPp-`ghmkT+AT*3NTchEV$Z;|(RUa0pulI=!+
zU-w9$cLX(d;A&dnYV%6&7|&)}&}mxdK@rES+dGs%-o<Z_Cz-!IYMi%;_3l4IUoNSS
zsvH?9ZuLE(=`nE;aQ+Vj`6Xi+ihVV#frmG{up?1TT4f+lz|O%@RZ+qF^u97g<lbFB
zwES)tMNpC?k+|@MaPzGGlknZ*PPB(1f@c_aNMH&zAfVRXHSU2{if6nVS0;nEV~k$Y
zCLtl=&KNrGIBpNR=nuNsuoCmT;{6BIVPaPoLd*o`raLTJ1MNX4z#8_u_<!aF$Da@c
ziIoP;H60yuGbceW^{<@F(DNXiF#<w*<r40VQRgpr)ta}n)Y@cB9+=JI-|yx;+EoMr
zplfq>@|u=iJezBS9!i~gLn0<=gHWvXthMu8h^8m+ay75x3cVfllUEEqCdL-(4RrZb
zn+hgW_eDRAC%2b~t;#bRiIoFQ(}LrnFM6T^sGKxL>fMMalw!MOoenyXjw_CH{+0j~
z=H!ut6qf6-Y86^dtOIt5%nLtHfoZ~y=$nrvto`p?BoKjkp5LlJa+532+N=M1bQoxD
z-#9qzs0<7EsF^45gOaQ3>aUF0LvjBNGb+FDyvwe-*lJ~PN=$cvr^3ZuTP_>+6!5&t
zEU23U0B8?M0(?GQ914UctM1=8H8kN3n}Eph#5a#Dur@Q3ST)Yf(wU#_W3@OFEYaR>
zS+7@UbbPV`%d^rP=h7<G0NTmcjOJ=y{T~Rdm9ArdzgEq)bEY!u&2yU<;iiB&n{O-S
zDfnC+sEc?@BS~!ct@*R%xW8y;ef{&IItQVw;pv9<PGbszCD3!PR>NIi$)Jy4wUSs>
z1#v*QPoKn<>^U|4`Sgve*J^08pc_L)Jzn?Ah;AeZQB~brXMuVULyP(R93?6E)s#NC
z42Wd3mKG~MPu4J<oP5R~bk@hT7n`YBn|EI~BA5T0Fayw~pVH6XLdxwNorO%B|Le?N
zJWvXt{RZN~Xa0Eouw}hPU0!Jn1l7qkNc0Z%8=c||I)DS}^)^Sm>fK!2+yHMmJT$a{
zA`e`M@au6mWPRM&*vQY%4@6=il|IWU+MxuBE`rYhi^_3^VDB9LqHf4P@*y&xC85yk
ze$mx$pG^leJ0Oi^bUWvbjf_&;6?zq0d8TADOtU{5!loPpI%h9`4h&#SpguXbm!Wo3
z+CEXch~K_)m453+3s6p=hIxkjse;<3>>H4$LN3!ad#C=QdGl#MNUmcxz<<obvO)<c
zRtlg{K(vI3zm{)qX_*Fh9In*4#uT;Bq6p9n#%nqLWhGc&!40U~<qB5i2ynVEk#*;O
z&i2J%=fz;_++ih_;eLHpfD*RL?ozJ|>;3Zq&KS_JaEjix`%Co+5MSfsg4}wFJZxm-
z#W^-07r{&7h+XNiSD)MA>*&hoVeUd%Yew^mFLUyo8j(&ee`Zan43uX5O7xXtd){q^
zkoCJ1{`%|wQjNG2YO4#f!TvuN7X_@N3W%e71B|ysIc2vqk1xEdbL(5fDX|iM{pDTH
z`L?zurKy=jXH&1Ib%H)!<&|i4bN1kavsjVwH>xzF1MBrH#t9gDXz!k=1nwoxpN@C|
z-i`xvCP02?15M(OBAY+S>O3W*>8ZLHsA?;`SsiqZC&8^C#JZA_6cqY0&J5`Z;`!-m
zoNiT2GP-7pmCE!cgtOp1wX-2&JY?4ZmCLTAL?120f=tUAzR<_p390|6R*t(kKTp;d
zE|7khc+7F*?>)6DV^(4uunKKzg3A8$Ra#|WJZ4E{4K7yw%gIkl6geE4?S#@0i2H*z
zU?=;&wc~Hcx3+yD<axe!R^*Fb0U}Hq%3Z9js>`*iz|%qFOALt#mID@axle`uD}%KO
zvH;6z#+Pf_ooBI5{u1)1`S=0Wjkq$QHbAZM;Bv!fuHFs-(wX>rfUgGun~I8<xeGvZ
z0yV<0By~&m0Gi+EcHP!0#)A3n&fZqRxHn$xe7^I;#alU28~`}fd~0snE?fe)S5hIw
zFE&Rd$N0J>nH><N4VRsk`yt{HK#Q=wt=&Vwn*{)$#t6SBa87Mw4wLQ5q(|og3bA7o
z?POfoG>Rhfx<+DnA=Hxr(YWMh@uUkLhF3?8ooEnF0>2RS2Sb@!iPDDZ=;}86-5Ce`
z(mc4KxUG^Q0Lfi31h<+%rj$CzF+KiM5%aI(D)%>f`=#D&a*67tJWcBIt3F1g;ZX&X
z4a4uiwMTN@5V>t=;>J`NV<dsA^RT`eBQZeD$Q*-01V^!c>!x~C#e~j$<D2F24y+SI
z8brg3fzVn!xpuP+Wi)>gSbLiPw)#8t+^l<Fn5GAvM{wVK!>H9oP-8A>q7aL%k-x4f
z$V5RfxbV-f65$*{w?AT6`(k3p&9DIUx-r#7KhlD<4|8`SXgAu}ocNeg-`F^4SAH^X
z;7ZKTi;_ZDmp<+)V7p_yLPS%}LZxMly6H>As$;|5i-Pwt*lR=B?;}tdg(yMpTs4;r
z!I#W0WzZ4_5xKM?!MRU_ho~14PJeK2%o6^+ky3&9RI6cI)uQQfyo^S>v_^l_C>ew2
zCv63aUVUsip75K`QWh84-V^3+E#Z}{YF0~#6YlhTiYhN)WF6GP$g)h3PBD=KH8W#l
zv~r`F?!Z$)AcNR_Qx1)2>sC~C=t2sIFMdsgl2R-zmEJb<;bSs9it%^&Sq-mP^v}=F
zwJX-K^SkvS-V^f7(Txz!x~#ZVOL?ODr?+=X;;46uOOHb2@iwtcTUWS4sbdm0U*xKA
z*CF(jx4n4^2<Zy2N+MCywZyT~7~UI0MhBd&mUwN?8J5At^MC&R`xm5wQmZ(zCbDfZ
zGmEE0jq6)Ua$X1*Ez<jU0v}<Itkf!NJ$g8pWS>{axx^IvHFn>ly|a_*t~D4&@FC!f
zK-MdB!+WUUem8c$D{TzH%i_QM<PYLwVunUsm5`2F4;b#H^+`$jv+OP09XywKKj+!P
zn_gmg`WW)%@=mv0!{DAm>QCBG)(@{on<74zadR)nIO4>4F$OM@GE{05)>uy8EadzW
zNSRHqMYAeP_plkzTU8xrYbYn2Y|hMLnovBB_o`V}BDRj^h}_XT?mzb1R*rs3xpnRJ
zE)YvI_GlPQa>wtM)5+~LJ_LQ%(PoSSd9XV{`(F!0CV3k<!>eo-3!e7x{V~h2z85BL
zmF*&3`0M9k-HH!h_xBoBxlw2`f&OpRIlq?SyMdtuVF59w)d#-jNY84Wa>RNZiaJzM
zEk?R9QgZ3@6Rby4rE;j0KZTontR|ZHw2wVJJT{SD(iH+^%SVw0Ir*&pM64{r+r<p~
z<phEy>pOia5M`gTJYM2#VqqAvzW-SEoGN&s2@0*UDk|W8d+LN&Nfi3jG5g!reig~m
zt~z~^;A;^~ZntaTlR6W)*RYu=;wD5~%Jii{#d$3GzQU_f@1UR{E7W#WL3VK1`d9z*
z<+`hgx2>!+*rU7UkHuvRf2nH1d6edlfgvJ({y3Uq-Sq(6-sI+%sLLUxjq?n6kC($0
zv+LR{EG#^<fAL~FR`OZ1L1iWL9rzlKwqA&Ms4Dkz^0KqM0T-TxWYCfi@AFR5rS-30
zk}bnZ%C>nnYM&qgt)3Hz4-xp`PTAF38J)^T?mCX!^|Zj|tc`1}TKjQTIWA|i3^q;Z
zWQVzrLuwyyws$Do___!7bqeh;yx{ZV;-bH(F}v~SvyP{%ip2>8Brh@)8Hx2!muw2D
z7BMbk*v*u~KclUt%k*y3)QwOrnlJjy0ZkIP84F*lC9vh`19FFjg@u7y3Y$!D2{iT~
zr&RX&lghiTQ*0mds%&F3g#{x)vNbj1LkXj;iHV7;t3pSE1iU+H(u5J_In`1rK-n$L
zE>HImgw!;@wxccBxNXnW#zwGIK1QxYX7&s{i9@l9DMGrK3cLTF?e<f3Zqy9k#lkw?
zL?ZYkkA<CpaNpH+Z?z<^W9J)gd{vUk;hmslsg}xVL+c-B{0Zv!fGV`<6FN_vic8d#
zyq_kt?a|;0SXhX&Fk{r(>gv7XC5rxhMtOqUuL&luuIibhqWV$Gd#NE(c8n=SrTlMC
zG9R-;xtQzjxUyA5m6kG9oTPV68UApU{mB$X`dHg`eBJh>>xL7mFO~%_(yf_%l);xM
z%=>Tb%R9n$_ls)Ygei763@*EBYa?E;eXnUV?GDd)GRKKG_F6XY)u_N@XFBo`^A|<x
z_g0C1G%+i@@2ZVMH93ljM-<z{p@jPwC!2m*zk=W^6H(mVc^%NC60r70Cex(E<}6j;
z@f7gKm+Qt?Pj8-h$P(OEBleMxc9w$sj1|!4jy`H|-(u`bchVQ<3+Bpav_%J93#gR!
zd6YhMFV=7Ma;<M|@!?4z8aH#1gb8HAc7BxbI`diLk34e-1eU_zc;k9KI8UtA@UN{Y
ztzWNoIW1_?v}eT~WcXO{@$sqZDf(U94OdA0OjEvg%X*cMe^(y2MW*5}5Q@L2wx4PG
z#fb;5qij!8!)^l3+!P?87RrJzRcrYl|Ld24QnzuH(|)0cDoq{{*1AkJfNMqX6Ie5g
z@4SxaN0k|!69f|#cSA0xtn#F=+mG9~4gX|fLM7v?Gen-xpNtX58*}QUsLRVs+zm9W
zT?^IW^BDs9rv+GGGTeU~2m3WiwCWpCnkyDQwyFpS38worH9Ws4WHN~Nyp0T!MliWP
zV7SH(zJHhH%c{_7)DnLGlt}ie4DphgzmpS3d7km3dcFIrL>cbYkJ=kQeOtDrow4UL
zM2M_e>I~Lk(<GWS<ctyOL>GVmX4^AJ1Xxo1fHt~Nps>_rek2o+*_~-8lqtc(t*L<u
z_~9>U%j%CxC{6}^;>-;BFVBWJQf$pK)UJ11Rh3g%`%M$WRnFkNtSkxa*tj@$x8c56
zGJWm$U|B;G5(qOzt&wMyBEt&{K4!#HzcLi*DdX)j`xboD*$_Fuzwy6~DX`ya<6?do
z$r^+^f6O+BGYYTt&A3+BXG7ng?a$864qJ}7_`YX@aN4y*;dOVVfA`ON?@vl3_fu0G
z2z}O^@6phmz!EriLk4d4+Xe=97_f6s)QVIKFSoJoD`ggxNeAh!=P@0s8U}u>H)@om
zi)|bp{0v<KgBkU5mxAu9=9rNq3fIH4t3=+E8boky0RaD>8Kk`8!L5`3u&4G0OG3=S
zgjUq*2NS&_?&Tg40P-}+g4GtsFXf+8e0h?7wCN-A{6u8TN*3u2^LnwXlPOU+H{rj1
zTrw!Eb61vKn{Df-&yv8!g=Yz}C1YRKu2rWjUpW<do*J$jWoP=&mv9P>es~d1|6PjZ
zUR%ibsiWy_F)!gh26wF1vHRVODe^Ig8`j4>u}Ye;EtO1iv5F^}krgB3a~Tz%`d%be
z!nCpoS(l3RrLbuLWxXnd)l#$AeP@kyI`)Hx)cEnR7#LWxES*XCy=?cFcne8C%mGo<
z>gDtzLwJ<e?|4fJyEmU1)j|>}IXzN@`<|1NGkAB%ttzEkaY}|qJXHMB$1Is~Kte)7
zMxJp^VB`{g?$u#`7EvQSCBYhN|88Q0iUsICe*OAoR-tq)c!g*Yc5^<+7tS+Er~lIH
zN*b!IQ5nDD1Fj%x{$zDo^$#qiq`mE-8o;TuIRB{1IVOZ)*d^P+3vpkpCrizx<Lv?O
ztj6nDc-?0P`&D`RG|&1e`<HQr5qjQoK0c|QEzjVm10%M)Q)6Rp<pH-$96U(7^1SAJ
zrtFXA{I)SkfP~8C<2gS<@s(^h<qw9p)?W#bQ<9NI_bbFocQ-i1Fune0R;|POSZGx8
zCC%@JuOULld>$O?)!dYV#AV!*K1YYT??$}?J)NC*ZvT_SLA;Yx88u4t<+(>6RkFUc
z5G=QpcaLy%kTEuTnUh=HUlMH;<SI({_v>qM=W0q8{<n2C9vSyKX}R!j(R?CzR7$m&
zKQ`ol!@oyNPdsX?H(4V{<Lk)t)PXEiKQ-*&o?wH3FMjCl`}yo+Jn{8l^EHFbw_eqG
zx%h$V@)Q;n*!xJ^|D>DB$oFdqzUT>1C=k;eB*gpwZhDD5@pQ08L_~yzDi_dyEtUEm
zIyL7cTOVBS>DS%$3vGu&^-}K?iDEnlWI`Tj_Ul^&jgeouJSA-#;*jiaU(#uo{uKU+
zb&BkL8*Z8`ug|bgBy1PiwtSxKc(1bG#Am;&>lK#ft@rTr@kRIzQk1iRy>6<Fr7)~p
zL&H4E|M$|@uU~14%=d)xX(Zol@~>c(p1(w9<9AK3aRy%jHOTrlkSu^`DGv<ijLfNR
zw>Zo3C0H0@DI1=r9PJ0AvtIK7K+-`VK8Innyiu`bNV6{^yia2d{Vs~LbTWr~7&OLW
zX*8gSb(X8nfBQ?vP#AW6bTl&Tkiou{e4Cr@FX?G<H-F4W4tp))<#bV~#fvApscwRE
zKywLz1na_=0+4-n=d&W}xo8-yscZcLdu?a=oc>GN!QmlWl4=G@fG$>lWP3Wd-mt@i
z1ft9i+!kK9@J`n)Aco4y$N)5)-xm0%2!Z$Df#}IXhzy(P4P`D2ydxhKrHw%0wjP~m
z)8`N&nXadLhkn;P+hWQ-b&O3x%;0Zq>Z<z-Ktjgxt~-Bx^8<kD2ClyM)Z{87w7RL9
zHf^Kj9JAWnL<R`j2$?~v?`alK%*t&S-Ro-VG>n=FUylkT)7@q$Jd*pa_14|p9Vl4%
z=l%CbtHFIS(Zf=eO~9{ud!L-NU@41!xSUBkQb^>a|7(4Ct!sgF-2*p2ij}hX>?eOB
z5C|kvNLbkaPlgqx$}n{tN<9A~>tKIIwZP+Oz^&RYs?#>?G_9ak-}ddM%hHWDxX*mc
zm3&6nZ}#A^pYT=e#}5R_+C&~AJvFT30uY8mR3_#2+S+tS!1;0K6`CQ>-}UMeedsGf
z{=jMS%VMGe`@7%!B^4$%Nw3yZIoL#4ex3nOps{g1M>-7P&fq6LD&z!#(%7wAw~~^w
zR#=3}h9jQwSr0TCHdL}y%IsGwXsLf|Z)`;Ha5!k?PKxk9OwA-m2~fg$%#q8Vf2Lw~
z-y@BiCL;P_hnta-1rC%#&c0ES&sJiW^N@zNErjuHHXe5sG9DV{Gq!}-KD%yt;eZe)
z49o{7Kf_v!<4f#S;6M9s#z_@sC|W+}zTi=ckBj?b-V6eqfcNhmZj$5lN@OVB{gc!s
zhr{<dM3Wv{T$r-c<jpdED+7yX{3;8Gto$QO`<rH3`<<Cn-Va^h5rvdILU>qNT7q2S
z7dfNEPvG})%+9tC=}W53d@&6%B`vn`H3A|b-PCxdeR8F-_V#w*?J|p-E5WZsVT>BA
zYR59k2@$|4@0go2nm?YeEp4!ay?)OGv$EbWksO(qWOyj|{hu<{*_Jv~Cv~}nT}ln?
zDH}E4W`jVWmM}o1e0Tdg-fZ(9f`tUQ_jVM;wvH%0iIhv&qt*D(;#Fq>e_=Mrmq2oD
z$hN=;=A43E4sHprwkW4g+y@tv4gle?=e>1P`6Vgp-Me?zJWxgp03=`*q*|%V<}a8A
z_w<gh(HW%ty?DMVbBe*SY7u{o3(wQdtt}(skBId{Z6hD49eVX8e?38J7pRI3{O<r%
zui~tM#Q0!D?8<*K?m-uh2W8h4?CJu>Aa?p=YHF&`=-!QsRVMNW-6jl}<?1T^@P85Z
zmQhviPyaASQMVF;QX(DF0@5v8Qo0)jq`MoGlx~ogRJywqlt#KGB&C%U5qM_n?_ST#
z|9<5<%LCgh<~#GL!Fj~T2lPfvtI87AD@VPk5zK-@rHIZzYHDf>*Ef4}O&UKQjP%aG
znz9UzYS7Etc*A+A9jSVF`1Px<ukU4wAOejp9ZD+UGq0a89o8~qkbYtNkE7`C!+@5C
z4XjJ*K>ngI-;}^0dvIv?SwOFP?D%is%f{fv@zZw7H|I_rV6#3JcV)E*$V$8T&Sb(6
zKN!r9SoB^fQ)NW;C~0r^y*P;jM|KzECk@apcWixUE19(t_nHsBM0sx;b;Zm6D_v-I
zvHOB$x(`R!BER*MJZUOf#yj?0zBXxkzZQmW!wMqg`)R8?NF*}3{bD4)-S9sn;I%+i
zjM+gEU`O(f{wY<Arto@2zWL}Vq#aOrQ}Jd~s}_VyQpH?c_-IDomN$UXr66<!VsX!f
zvw19@ujPg3pqoH_il2$fk|l0p<eZ>&(ie;opN4n{-9i6>s$%rbzj_Il?#@>9IY#k4
zT*s9~JiJ8>E>tI{L#b4DmcEp<w8K<^c4dxfJ$%hsx_a}cfit6p9x;1o&=-9CBZBrW
z1N*9*ni?(=xRNvV8jgRz@ul-Xt#z&fg1u=+E29Qm?{4#odqDKgQ<*Xvgjx-e=xYgl
zWVsaiC&Veb`*C$)M6(qUN>hU`uJyaqihGO4H8(rKDHo3<3pcdqsC?>c=E404nav{)
znmbwv!PlO*Y}mO=D^}r3)c*T*yd}@WV>sm%&mO<T3CFQuF^u|b$SG&((r!o4^`o{=
z?eITj`KNf~;rx6z)BUClKI)@Gsin{Hhj)yG4tkl&+%oFE>y>VC6JsU1jKu6`t8lKK
ze0nOC34C7Bk2JJm8Mw6YK+__>qttGNE`L?jpnxd77Ppx)-OBB0Cs==-GJqZA`Es1C
zb#AX#pCTyzqIVuOvb?Z-g5OfMi}`uw6sw2yrg@NQ3Z`*D{U6Oq>_FC({Nw=>!W!F@
z2S|DvVnj{BbJ9Cb;V}k8MJM%W#jK<cvo1%HTAdcWPrN~I)Vh{pNpT4bIqLH+M3Mdz
zn`{eN3d1|0D0}bgl+RZB-QL3iUy%XBKJ*xRZ7{oewCG#w|J-jb{vm!VSvU(zvbNdm
zvmi%5sVu@1N1~BM6Pr+Wkvf3t&#T5G<pMmd__xAu;@-XIX84JNB)WU+?t-l^!Aq6L
z!5lwwa&m49{s5}8<=0YJrq{moFWP@k*P_!)_DG2wF3ZtZy1r^$PI6q;5)GTp+yeVc
zE6D_&O1vccnqMNa-#ZQp@ubU7o}b7TUfOEUrHy_WZC3IVPaf#g4WSy(Cgx&(<@O*#
zl|aKx)zm&BkGQb#y2>t#sEfy}`LnBiM`nXvij){>?fhx4L_i9Ii)8M*KmnC`N&3Xt
z!JZx-k*eF@0Fm8o_D5?@F5MDMz)duMk_AVM<s3EYioG0tZ9oLvjDbG>FJ!>nfHHr3
zwMiG#^^xwt@O3OqOlA)Zai#m*R(2#^g+hdJVU=%t{I=fIoCo5@l-xloy_d!nU`{mi
zG8=8$KwQx)nZ5uiQV`aCZ8_;!F{Su?naHkknUO_}6x;wDW}NHq%AxMSGh_U%5AH$P
zq(+Vi8i`ViKFId!n2VgzjnaVH+~8C_`)j@6We4ISq_(Q9=uVtP5Uz_}&&fGrJ^0DN
zL4?TJA#GzRYuc;ZszqwK3WpDhgeso&taBojrs}@pAju;1VoD61=siwuBD=frOr%6d
z?|@M1t7@j~1B}3d8)3)K9TJV_yB#!mkk`0gtq%0O*k`$Xh*mBE6M@Lt^kAut2%4sT
zo^o<(s;5Dn>F>&o9)uEREscaX55s1o@S{gpxKK(+G_-k(d~@QUk5%eas-NHJ<GnX3
z<=07huWlrB)lF^`2dQ)#!6%}Ghd$3EH*9yu-kuft8t0b50$uk{%{~P!eX%v?aQha0
zXc{b9*b|<jK=P#Ro?V0t)~hP7%n4>`4sm8%n8B>Y&(P95;Jf+$Stc(-eYYU%S<sgZ
z?j6fayxa}c>9Ul!=-L|9`7#9ji{i}RTnn^jXFt-7(D!xe{7UGgS;x|gq+Oy27TrU6
zB~{nr)81`O(GxtMpw7ar(F}#t00$+jR(G<`E?p}rsDWM$BQ=}e!p)60sZWiOaKejR
zjV_uqlKzu8u+Mj~g9#Vzzf_S5{!b8%4jKawgSvP88-c?D$Zl$@9%472!3;S2ocOWg
zP*PqnXBAMmas?75ncg0XpKLUVq0mWOAH_WH^t_8Jpvzr2kkvDTZ{VZ<qKGqsnWs?O
z`}GD!h_;x;du_7~Q^C+|fV241ZMaiw=lt0dX{7N!8w+F2)asQ@vh=kR9SD+R2UAXx
z^4=2#gyl+v#8t{MCnFh!h5#<1&nKxt22!z3?M;7+lO6HRCA+R=R9{O#ImXRKAYKuo
zIEQeqNC@omT;iHdlx1DjWSB272xm|2WR|8M-!)^<kfAV7Tb@~n%m+NxVNCcg5~Kxr
z%9H^V-d89Ca(}{{Aw|>J)I^zZhqnQR@mwk0x+CVEdmdFJqv_<PNAULoxNUV;hO?J$
zRTAcWr~N$TPxC{D=L2<sVTEQvb;En%qSq-OT4UmPsd(5&`#d>%r2Gk~5Y&-941QmR
zN|!6fP4L3pXqA3Hf|HLp;<}O0{RFjwJ~70`1ogN{uIh~8?D66vMe!0kUCi>W#jT^?
zFh!hy&xzWdZ_!axo7B_ori6ARa{VEiB3@v$KQ86_flQ5CXTfFvYLzWzN<Ls1?m@zu
z{g^Jsgq=Ue^OXxF3x*Qi1X~Xy{3vpj3%q>#E>1~9?BsB{g7%q{ia4oCgPp6@94_DB
z$UL&82tbHpJ^7-poKc>~lq{H0vkQa%u-T6<anwSN{ohD`;T9xgYP`E;)8b=aqisEF
zfHv{&%hg|`0xr6)bIuLAHu#=bAM0e(8@{+%ZQ>So!--wuN*-kZx~OJY>EG{|rVp3c
z**n#QsA)YTq8lrtLMYSXO{GDI6!G5HmVk0|`qMnN&eJ~=*^O22$s&{Ue!B4lv)2~?
zdi53ki6`a`|HI`|&e%>sJQWlMe;(GVGE#aQQp6d}>vCq~&CR>n_}XNvHsW1zv%3Qb
z&fu!Uq^_e}gDx2<DbQLXzvD9hfEvwrU0|VL+yX@oka=#iciD4W&o~_n@RV8Del%w!
z2utTtUpW2Uyc+c@K;MnA9goP0=_&e1^xp>{4GsEefcXapH5hf6$dC~?X(FhJf3mj%
zVY~DD6s?mt;VF1zEV!(Rg7(fZJLp626i1hhTO@=QgV+#ZQo$?@HHw#T&@;nSi(qgD
zgK(!#s=0@~)I6niuR~kjuJSwE%eLi60T7}?m!|LbEl`o(2_{LvB4%xxSa=0^cuqDz
z&>tg7)?-p7@_RT+y{vAL6CXPmUwqn2!pQK%XIwftLl&GmO#SLKjmNtjZ)6`-O?dw+
z#d<@WbCZ)v^6$9h9Mi}kB~D4#fZrg|7~DA{%P9CD3>OK|jk(9hHPRn2{Z_N>dCNpI
zX6BOyL~k`p_Qu`#;4uoFU^jIXMF5HdttK_v+S&2`o)!EM1nmO5^~=z5G;bCbCF)=O
z&}$HW<N9?I6O&G!ao3$>Yf=&0a6>I0JG<!hQ?Bj5kkJS8*T&OkoQ;jvhT$4a9+JV1
zG!66ju^LM)i6od#?N$2TR8Q3IlA>*?1poI3KpI>m=xMR^uP5Ip?J{REG9g+6;<XcI
z&)wz&dBoz!pE>3pW@gZBb}n;`ataMD^U5p5y9r{;Wc<B<ACxgW>_|-Sr>)uvTBha~
zZ1FoB5aEXIvnbSBzo_T9Jn<D%!i!u+7k&NNFf{wIzDKzY05O&+K{%VcyV&~IPdlJb
zqlz)pbA-W}D!^rD#<|%WeX(4TzPi7Y@$audBY>C{$4!CT{Y7)%&P$Dka_N6Q7@TPx
z?8loo`sIze!#=^0PyL(3)S$R<IZM&Z&dv^>@CsUaD4Yw_G2q!&Qse5LhMNYkdL6J<
zf&Y26=u0X-`8Sh*836pt0s=*ag*iL6h7KRTV>qg?$5fJ*8l0@%H^Ogu_6<8f{wkHq
zW7Tj%n%i^-HSbcc?NT%vzIgGXBopl=H@~i@AcR`rq-18^)^COB=`lj+&yNm_vQy~p
z!*KixG5`H5Ufu;#>FN#aF~_#`^mjZjuo<7ex3Miu?x@=2J7Y?%s);D%y0hePwIb<^
zs_awlqvQPyOYz*bpbYa@RVf1|CF(j`!Dw$Ipi$_1*n~-W*p9)9&I-w}+5tmg`|yAE
zXNeHpJIV!Ly-((z{T@leK>{eDlUMq`f#Sn3<h6`)KFO|ScVr_i5X*h=q$z0D`d3Rz
zoRd_zDRZ()+&&)ib-QpUjg*#xL7RZK*l%?7AJ4r}2+iURk=HnlmltRLNzkRNLKkJB
zHBnMGPaGn4C*;!r&w_5*q`1-_ptl<>(y#sR-)oGEWK6il?Q%%x5U_aO(0Xd2{MH1|
zhre@AeTr|1Yb(E-11q3=q%Ii!Dy1P&XUHBOn&kL5vR@bv>lZK1_H2zWJBdU9TS1{1
z0BB7$ngGRecD!Sn>3z)T^e;XE4K4A9cbj%eAt)0FC<E5rfrOq^L-)^b?m@Pda^Z0^
zVQ@U+AjDnsZYO(hGqGttn`f1@Of*Y}N9iVN_Jr+$q7HVk0yOM+;(AbVF`~qBhEZ0V
zxVX3`mz_tLMrLMaUS7>=YX5s!(A1NxXMxShH>ZMQ&X0X$v%WLqow+v65@&z3NvL2P
zshlh)=CGsr>|MSYsn<<KYZ8-2PBPE$&6c|d;B?uGrbc$*AZzrml$SaYeIW1o@%OV?
z``5?_*DdT<tMB56|C)~Dnawtwv<R33UT@e<7Y>&<am{_^4fu-WuZ?QY=uVb<W}|H%
zQgkc4mji1wM6+~^O>okPZI%?TQv#82ADYVehu7f^_xxwl0yQEQewg@dEq(=G?3Z4@
zdsb$Inx6HR>PvESpPVC*h#p-m%1`X2pHg4Prl=#UnqF|*y7f%|7DzE6s+tSUMwj`{
zG+<Yd@nL`M#iNE=g&U7`iUhCz_1nUCrh8dfD3#fLm`Jdi-SOsy;pusU!K_&jFX{4=
zrs-=F?Nb_DpJ^$@9f}e)xEK82oB26g4IFznnm^4SFhBu^XxrDWZ;d{^`fGQ0cQFj!
z5UJQPkA^!9y1Q@A{`V}QNj^qYFo)&oMOGwb>_jH4F`ADWS|=$*ylK}!h?aI~Vt4(J
z4p|mc;*4IsuawgC{?&%W&~<+?@%|T&VrjTi2PAR~X1T?cvgswLa1k3HJ<3PWKofc6
z8Tu)a4(tEs-bHlk0Pw>UdY8JT>^D)3C(rO<m5DrK&4~`gLCO-d0|_M^Yn5b997-b%
z1aFYBR^;;YaB-y-_xZ|V@3Z53L9Y%&-qsXy3X6zjKFu51IK1ik7;Q$|9PJW(AFLk<
z1qWHZ{_jT95s52t%FSLkYDzP?RXX@wR_seW?^UA!90%P8#1VIp{cCmuSk8e5%unn|
zB$eVf>_$J6J^LEFxoN27@@=fqdiLyO&vk3?b#t;*A&K>AfDKWUYHEy^PuRLUz*7Sm
z_g*I4`0?y)W-`(J<_G&nm^s=dn~l3?!X0c`iu7br9GEL8?j1fmJ(X!JK^IPT;igtA
z1UPX>gnf8=2qF71OYmL%3ZQQsV#kRGQ^w<&i8xoau;1xiiRA{0EstaK;NZaKJh@(Z
z@RP&G$7o0?+?x7q`8DYVF9S~E1ey(W5e76C9Ew*pJR%~`7!&lTc4{KicqTw;<L&J|
zZ03X|@NY1lphG#<Ozjf($6m8BNf#=(@a#Ms2;b|&qFUj|!cZ=Vr;)zTW0RJ7yP!~8
z5^;(cejQQX^8$L`CH3$~9Avk%o|>B0%udMKg4gw%#p#iWYrO(Y2}Dr4u;8c(Mp7=E
z_#Wnv&v|T>6wOlFHG(pkl^|?zr?YU>+RcD`7}JH!w}#k+sZ~TyNfqYLE#bc<Gi}0a
z!BsCQABK;~M%G|-l~vrH@UR;UtTF~s#)8S|8U^!K{=+}lzL{~pxwXV=V`n#XAUMkD
zy<n<UtG4frt2c>@q*ThGuROHUwEB|eWQT=jnb(0fZ%;B?i_$=j?_lxHX(ob!FJm_1
zVD0sjUyE<$%w~5h1l=by%oEd9@QjBS>Hpp%UUrKb?FQWm=X4xDoF(3eWKnc+J#Q_3
zYyT81(=Hi_=SgAsosqkBZ}5QG4+rV@(ooE(ScA`Iw7qVKlcjH8DODW7UOjot{KS)p
zyz%<Wnh^uE1)xQKEQ%tEKG+wk7qM<16Wh2ldDsrOlz(H2%mI~<xY9(f=ilGn=cvci
zy}ayBCN~Pt4sk?ju(?H-eab+-u@;e$C=Q-D-$ZmO&LaT<of7pJ;g2H^`*<@HX0Inz
zb*ZV5l9B0mIEkm^<0A1Yq*a9FDq^HQ9W+x^=hHt`Zx+(h9<4UA=60j%vc4Q#_rRny
z6Z*64H>wrf=A87*=M+lvQLxCLZ|Qqp>zgi!G<DfgF+{S@`*SVUYD<NjcU=K!e|w%S
zMR1X1W}bMrsoBaVbUHTZK6~~Iz@H-h)7H!Z6Q+b)$nT0>x%MgfqZ`1lX`W*0{*_-B
zA2~g1#JPigts}8xKn=5mnJo8xOiWBo%AlhjArwTLt?u^Kb5464WaKi5W!1;E<NSO3
z(lPB}7-QqrILPnsM}MI;=ke?Q-UsQLDBfq3Q8W006KyEw`P(tN9bas3Bz1sSo430H
z>O#Kcf@HGwwYAsBR(_{@-wylp=L^0a>f&Ac>Mtkz-?%-ob;Pxiuy+P$Pr}nc?o7F%
zs6$%EmJqLak1<=}xB(Lg<+?Qsw_K54vGdEfLo4X+5I>8B#<=>b67$VLd|%@JItN4j
zE_x<@(!STNEcyIi^ArGEN+kyqM+2J8t&nvAekq^!*W3i>m6HC`B!zR&)^m1tw`s2x
zq#DA)7vPD_{3ytX*2Va~v1jpkIR~@$%l(|UZ%9zzf8ze6Ge`iqU9j`k9#tTv*myg!
zZ)*EK5*bS9===my$P`&5UYNMtDEdiAMZf9;{qUY6H>n+ke%tTK2F0eJrMQ)|Yf>eR
z2<djt(EGy|kuAljEc*M?)9VZ%l370h0Unr-J{u0#?#O3Y+*HEDMPfY>dp~gJWg}%>
zDW5v<SGtFWYAVO8*JUC!JEGO}k{R-Dubc@P$S@{s7HgrY%LHc)1F0T?a|hjEZ@y*n
znXga>8&n%fZH4{)K33OxQM;#c#;45{Gb&|jShhcJ-<D|Ye~*A?;rz<qXZ>Xj$T8R5
zZ|0HRAy}u0l8Q)qKSug)*sM7ZW5d6C6G541%omA)o!Dn=wN29B&)WOxLAi-SF`G&X
zeL{PmSAC`RtUXD1g?WlpCeE_@Y@gT{BtlF5tm;3&_)SeAb;{EBzu3<8^>tuZVc@ba
zZCQ8MPc$y+CLGgb+|S4V7}<qqAx#s}Wmti&ZK4IZs*_2OC3osU0*{A$@OL;M=Yl!1
z{!a@aMrAKJcOB&{Y`r)tgDB1f*6Ugt;8+_x2X7(YR&mt?Tl)^%OJ5MY60|z$xk3~q
ze&bbn4iFtF(sw%z7+f2df7{{P%dkyX&v$+Hn_c`m;d&iPJAkIC6J$W)jg+p*98mvc
z(jsU;R8U9%l1Gjsb>Lx|3?VvYy8MCQUSsK}WRg)6cOx;2F9r^|W8jZ0fzEwmJSAUR
zAabv6u-<3v`|RJg_e}yFZ)ZrC1(oStKh7=J1PPeWfhPX&;e&nW4>+>gDrle08t{7|
zmE1dzy$TI_#kqF(bzuDNN*&iqB)xYJh^Ju?ngRMEibEBH$Su3NB?=>qDZo<WJ2!ZR
zz^AgXu;;Ea*p?BOoU+R(Y-skPM>f54cdaULety1Y_b;yZ!BCWpJcZw|h24pFc&1QA
z&Dp~v#Y{kJCIS7bk>QM=);H{w<!^RGl%Fbg_QKc=%qEWok=^Z!$vBUAcr*%BqlGE$
zxVzp243*w3)#<Tl!Hb*AJG+Oa^B7T+f1U)xZoYZ1pKyF{ZRJOX>_kP28x9$T`o)D7
zin%RD+4R_0SOfh-h0E_7LMH5)Z6mu3yDsl3<B4aiGr=N<!WwOsq&|BRLhRtXA?RZJ
zf6uSWUtJ>lb3QLe)#>qOfD)qU-)xLjbe|-<Y-Ybji5Jnyk&J2eH-F#*KVE=c<m82a
z=nmU=yVA^Y<Jsf>e#~K)!%s5Oc|kZgBYEW9^AD|R_;=ki`f3Lq#1Z>mDcSGERTfaT
z{(|xej`O*LN4DrU&hDHN(k)C3H9Q^Id^%){{mZ_UKzt<Yr=JTC2#K%V7dZ2D40C9x
zs-8`ymtUh}Oc=7i{sUek`fBshe9$pi>2L62qq;4|P{Wk9m6aFKf%-TBW}E=MMme`H
zpb|_O`YNM^U$K8gY@l!bb^}C#gamVc{HooOs1y1`1_c73RW`X%w(tzHBx5bD#D&ny
z^}lUeaVSviF`bq(mtwh}i@x6!Ed=88myVKcu`1)~0BM04ZGq~-7`f<{g30ZbjLGJ@
zjg0T7cycWAS?{#6*HyA;V@$IYKXiV2>><CjFg5yR$i~;f=Fvh@Nd;b<g2e3zys3u*
zI`UeP6ymwm_`hqcXPxzud9)e_v|mQQ9gSZQjXACb=^xFVl9G)e16esazR1xTH(Scw
z!sS>RENtx3Kg-7D*FGp^s?)HH>k;tXHG09XTcKZ8@U2JM7gSVz%#YC)OGXU{JkZqB
zDG=}?78NlOM<D+Ox4%4Mz7tZ;tTXu}uQOZLoVV<OvkDHnffAYm0!G->0eL7HpuZ^^
z#~vA*+;R?AQZ8T-!oPzVQ)iZP>?NoneRn^<Dnr4PX(O*-4qkT>$)%&fVNVKDhIcvm
z<C`LyBwvMi94Ho==mhFLZKQG@5-ugd6G>_=FEAzWp*n0H0(EhNTy9bpW#lc??oe!E
z=SWI6y&EK(@|^h4nl+ZTD4dma;p*TJ%ltc^M5{v6iG+@s>w28y9oy@-8OvRKsgf`?
zS~{!11?eo%Ht&{kf?@`rkpEVE_AHYE0XU7`p2sB0Qj4O1H$LYnZ&*T$%D0|&H$)6w
zl!%P1bt6AD!}sFUsByXXe#25I6I&;ET70K#(_cIaVZVSvSMy^LegI#%ee~<|qseEN
zAV%hR^oR=4{_{nj&(F_<BH+(CIXe0&xUjI`+s9J3JzHn{?OKEcHQp_Qa8z^zX+caM
zYa5A?*T-vw#eZ7a{x`<R%hg&>T5xr+c`cX{J;1vqo-@4MpHA?B=r$%M32(W3Yo*F~
z!t1f;^piiQQu5z$D=_I0(wdKQS_2kSyED;mr$szyQUzyCSN!)cwbqFaggY&C0S<!1
zM(ynRQXzOP;^Qvb*rWKRA!)03b9Ee)BKZCUhGsM0TD)Dtu|A{f+ChZ%&ICjsV(UM=
zrXHXxy-t{dV|siXU)9i-Y3j-bnSt+r$f+Zu{%^+G6ak#X5inu=u8T8nC@Qi%{n`n+
zR+fUPm>QmjpP#rQ#c*q)-;#HqZ02h{Op5DSdBjo;rn=m{{zLqvi}Ku@JPQt(m~CzM
z9!1$Hr>3O*9tsvd>=L=CaQ;+T?9lKB{`eDk){tdh4A%x>h^e2{_XM}H&aYz#iSXQO
zIVl2@5BLw-idQ0wM!KK=K}p1?x`gw$f<q;p{;>W6-QMrc`?gjI;%VvWb3pw6wE;~+
z7RDKb1uVYJrbp@G>%f|KGUw_GVF<b&W$>fHxIjXASfJo-v05iwiUtW1z-G-w3IG1S
zJJ+P9CZwDl3CSgbuKy;sMa|U%a8+DNU~vQ#j<^YDk`obWCSdhfGXE0}HyUqXY(|8H
zPAx33B9L2P8G)F)^R>w6_n%|2676-PO7BNa5NB;{u)uv|Vs(>H!qZYbZ8qq>#+9!V
z+?%yk`&iS+%Bom-+JvZ6c0;iYLHW?tM-va6P1)CPM?I=0ANxR5Rm~#41eS`@EoHo#
zSmRidE;y)o(7TKhOS5f>Vxi<v@3H>y_638R-8mmp<<mYxQE1`#0CY2wp&z^#G}IFE
zo1I?Re}BckA%}NjLRUC$&2$qOV^@-3qqJHbG<sR|FGF4sPo+|+sSN)5!x5R=WP(zo
zhYNoO7QTWK28N?UZ(rzlP}d2PK?wDm!7l>xW@xT8nU4o-eGdG||GcG<Mok?Wt@{b6
zcLdcnG&VL0U!D%K`gW<Azn~5MyaY6G^wYf7KdY>5>q2{?h!#+tl2*s{t=crKCc^JQ
z<+ebohK}{@1<Ee}nboI4ksgIqqm(<65)yt)wk<~!fU<$t<l^F_&Gy<c3%q}H0k5-v
zY4{##FtvHE|Mw@7RG_qJw=u5Tj~vx$pz#I{3=R^8iT6&$giqj!=9HUy>Nfn;ta_l}
zp(80NNqBvVG|t$4G+%DOL}ju`XwZmAA~rWqX8}4YxS1Jl_TM^>UXO)KW%&n^PHzW(
zvvUg!8Q_cLNUcU;lIs>d%0lvKSDqxes~_Ana<@m0={^+X=eL-3$%#=^s~I-K5#tTV
z>X>Tr1Y13bD@qbNL=iKbZeuo>q8#o4Y=Z}!a%F-?{GGgHQG{OyM#YVI)AinTefc?M
zMH`s=)A&{)Y<~dV@w|JXfSNKomeG=jlUmq{C6oglq9F6sb0`PM*Pl}H#!b?jKWJm_
zB<D}}eju0KpR}l1r0BB$xR0Kae-k2@jR`Ci-%tdodt-dy{~2}pE9%B=vQI<{AbgtC
zbJg2&V@#N7blw67$#~!>$S_WP%gl)f55R*vg{q(=e?Ht0wi^~Fw4Sb91!l8#r*_t+
z{#y`G75$_dc`*r)MFmd^cpgo+y7r(DYuwm@9A(f*L;6G`*P+X(98Wrw-t|o1*3zxI
zIhR>@^9V^6DvkTJOw*45gtl5}^+ugV4QIPexJYQO&tvvQYsbH(yn=*;0j|jvpf-kw
zQJ{MLs%z^(I;+pmFci)27t;W`B1l=-sax>zG_Cu4)6w2u%{M0q6QA*NsrKY2Wsq*B
zv~$t4!hW}=98)>z=3--GgKtZCD-cLDFvEbpc;tJ_w3T)uEk<W{wId>{d@4L}Gh<z?
zC`^G=nv+<3<d+whmbpZzMVf=@4MWz9WFJGC3*BdKlh3zr<0>5y56a8QF@&~P0&75Z
zY839B6?V2je<5Tll9zOG^5NChRR=z^=yi8d9A?S)<}w^3-<ngzM%-?UZ>to<Qy>~?
zcLuQWw|)jua$&l+rhH8$t!@a*9{wIP12k7*p~LZL&K!q9MF_hnYS6|n#mrl)U}qN*
zS#V+URGf;^j%_S6{>JOK?*8%Cj`nfeK<{1kqaKNiVJq$?(?K%5N&n$nUB(D=@=vo5
zgV}{?9l0TO5{}L!MAm(qdIN*Q`N|&!FgcRBuiyp@EnMs@)Lz+pnN1I)@oijWW9cOT
zui9&<O5BUO%zc<-C0}{kP6xy>Ouz7N6%Tr?aUim8khwkorvLJ}`yT*PH49V;^e?B3
zqDTeZa7dSbyN}tU`F4@I!V>}a3iNg|C`*<fUOehSKxvaD$=qLn6dg>Imr#nUrni&Y
z{;Yyf`R~nqe8Vqxtw73sV`A5-x*au)=9`z6b4@z;t?om@1c>UuK;5D*lK<s<W8`5-
z`IMO_Hx*a3FoYl7(vf)(N7BU=J~Y2gVISuIlaLxYPbXD(ZSIa4_r#=H*Azt5p`04f
z$r^8y$QpM&Qt=Ma^?k&Xn7k>|ud?<9f>tNwfYFcU6xP{&II*1JOaFq4)Tc6fSXLS*
z0NX^EA(WVuG~!U#+>vmtu%`gIpqf>;;`4#9&c)gJ=;VZa1FW_l1M4_co>f<Uh3kKg
zCu7~%KOZ-FgM)XcI{H0yc-;QpIGQsyXK!cdrhXEo<g<4MM8jz%aiKKtZt>RgqQCXr
z6l<GQS|NCNkMw8*Aj~)U_ihDxA=Of>*TnA!S@9K9Al|*GS%$vnkyMx+aAV|0OOTH9
zfJhd?YlJHgxA8S}aRYi4M9vR&=DKgOV>*tjX^{E~5G_MqRhy=VAkn@Z$vQ|2ElK};
zq7(jTpJuET)=9D3xb-jqWx)9iq9s|^y&qi<i5{G`6SfX<+dqTj{mE@1r_<G>1^X^i
z6mDPWmHO}H(+r{D#FDYbNWc{zV<x;8WIv{M7!VCm+u*wQg6&Qo>(gaF3QSDQVmn-)
zXxdQY=2}yK)g8%Rni@QDrH+mc&y&V{t=M79+GRfZDLNv`l~HeJPyhLFUa}`z3S3z8
zKN`(X<wl)}ax~w6yUVDPOpiz9@9&SG6jy@8qqVi#l|li>arCZw;g6+VKqE)}grAw7
zcMen&plF-}9xVdhN3;lJbc=7YE9lMDG|H257}}rDo)8V>b5%8sgu@H=Lf=-C9#Kx%
z60;0z3uM)XSbWSS&Yx1tBCzM7N9L5f%WGNfna{<-ijmK};=uLp{ciUva>Gemt!uqV
zfM`ZXlR>d6ciMp`wi8gH8w+tqwxCM<NEr5@V>Trv<yI>%4A6-gpNTS^C$vB+rMgvF
zR~mzV>(M5;uK?)qtS#v?K&=0f5W^Fg?$Vay8K{eUaI&FX$4!gRVP(nUs~b4Tx~~p>
z6&F4LMc%lq{>QbsI+MIR!sub^=V|>J0V>Zq_w{s~4}a(Gmv`6f?p0BL?k97&T~e>F
zpQQ-M$kbE}qTuOMk>;2S`y8rW*IJvYasyhv{zQeIT@S0R6#ON3;7c_|Ib+rkb8<Kk
z7n=R~^!J0=;)+8j<rI#4+rKKJla9QM8{cfmtr%6#SWuD`t{3V>blwlUvh=f_MmkTq
zSifwxG>o0VO_(6;8h(TNd|e)}%<kQ}h46Xg{g$p-fO23Y{t03tU9;9Fs5J040Y~W2
z<KO6%leONSj0q_<U8YaJJhza4zM$!)#IxeX61X~0pbB|LC{QqF<KaVHRdOjw#u}5{
zVKb1^9vvUU`S>nO;M$i&H&RMN{%o6Dz*%o@^5@I-(Zx($iL3o@ld6O~iyGeugIMcV
z+%W-HB~r$<-f2xr&zkhv*sKop8m(u$o)E33@3E2heDb{Q@~ka2UwZUVj%UuP*maNX
z<!ypeCs)@Stp3kHSJP@I`4QfrFdPuVYW)Al5Obe4g70BpRhX$EF0!`oE&iu|IGJu;
zoB7KARfyUlcqS(1UczRBcA=`Ti;cY1YKndkbDtD(nRygl;`S>^L_wop?oXpoCXy~C
zwFC%mhfQ_xM?5aQ&Dw#K_VpWvzU@;?JlT=9J-Rmy+#7$FHaI+8<BH_t9E@WBrrCAq
zJ?X5oa6=Ra-V7XM>z+}#M&8tXMXyQKo!=@+`xdfkSqwbi3;We1?)pw?5Ks2wi2`9C
z#TiT<)dk5wB`(AB+w$UL;`21<mWg;`a}bwJVZttV*NE!Cx|Zd+ERCqf%?f6w7%4lF
zq`sR$25&x^-43j$pM*|_J8Zrni;E3R_mSEpS@<hFsROmrSSbS!_-8a9--uv_O=tT@
z%%ql0Ay-Lv8MXJjQJ5?cRx2wjC}cK={2W25FM>jsj*pMYw&n!BUM2T(R681y(pQW^
z0dN>)H#=?L2K_}3(RgG0-0BN!l4%ca+I+v&`RhHqV~sZL%oo+_uc7l-iE=VDV@%Uc
zs-_FCv|vidqKgi(RJ?sSFI~F%%|a#1+#^tH$!h_6DiDZ!)M#_1-ncKPGI<2)7iKes
z`E2oAIA?bQg$8r%abP15!L6Pl8vCaSYpI4`D1>xoAHU9i&lNHc6g`O~fs^zLxl~V;
zr1B*7W86ALW$N$U2bqX0P_AZVkZCuRzhY&b(!fu@{e3LYYdbb8D@*-9zJ(J8SsaVF
zo3}~7I1@4tDdHK!ET774P5ke3|Nbl>9}FZd)B&Iu#_{?&BEw30v;_a}Vi-!*wV{RV
zhJL*9N9DK$4bf}!`{F#r5k>>b!>>TdTFZ1r-*cyCF-$xvoE`hoIHV`ERWffu3y0l1
zNox7K@iCxWu<;0K=Hnymb{gs0e3kO>N5^f}<~10)Sdia;jh_E49cbka6`GiRsWL}y
zb8af}yJv2-Uw7POc}avVZvCVXM1&2v(1lQ0&`T-0a-!TtK8)40&t!H7kJM_UM&pa*
zR-dzTsBB7%thKhbCa9WG2f&)gq^GpKZrlTx!c<&>clOiyT^wt!TMO7|(ko6;BQ|PZ
zPUFdqmMY)|7#f0bi1V|$N~xp{c3<UoFH=W4TB0#!02O6$Hhq_ovy3j00Y>;{efSeB
zx;yX~`W@i{-U}Z93k(Q8K)@}>prE6ZQ*~KcSzDWLM-UcVUhVp&bYrbd#f*iEX@5>P
z3|~RFjN3py*=gbgaNV2Xjd|Fx61zC<f6KJ52}Tuv+wSv|g|@@(y9$D^TLBkIsOL1i
z$vrYU>Q5lnhjG5^+GeSf``j59N#^lAE3eDndWX4B-|pkJFnRC&xXfJhM&$y*!=Wc1
z4?Usbydm=IBlhmR0h;f$aZ=W`z`g$$*S@v=Pt%0v^m4f#<k&P|J2;ldf3zwgHr{cn
zZMgR*x{yKla7p%o<CugW-xRfNu1L^|V>W$cWaNH@jMMMRX=RT`3j#X31vyM_eu#r)
zmMP5#+~`LhdUlyJZ<04d@NYC#;-xZwH>G40`_s60hBx7bG|yl0z(j#<Q~_8ri$r%R
zSKMts6&;MzAnW~?>_B0*+x|KLN!jm`imfr)E~hfWoMq4}_vE;upAFPw8Oh1hVDj1h
zU|Z-IrMgbmqaa*wyU+^jht&12hGxIeitGXzi)?JJI1i{W0^Zi%TeD6YWeG8OqbBX_
z@(ApNnZG{K;UFOrWf1zx`a{3K9%>IyPmv$5Zc_yKpmH)nU8C&=8q3Qcw=ZAfK=uhL
zSnZMP_S=|~=5--N*7@0q2<#BSC}U0PL#6ns|H|#!Krs=76QNHKaIRW{ZHEr|9ilk(
z8fB@$N_Ba@Cy9WZO%aS+M{_U%r>jwIL$Q~@(C(o5f9MltrvGk{MML{8D@X=-!Si-P
zt{?c*Pdyr^^z2G28^YS>E^PsJr_D_DpEmEZ7E#!8W15j#pbA}rSi&Da>?Rj)EPIoG
zC;qbt&~<k5x7CEFv>>#kbzt713NXy_VATG(F|Tz*N^2cw6C%f<JBl}J%up%`p)#>-
zv)260g-pVHsuXh$_5PoCQwR*&39sLqn}}K@|LnvYWB|A}-O=5~SqX1~dv=Otfj5X!
zKqU-wV6l2p_^A`WHnIF5_B+!?Bic@{M(vVan6%k27eovhem#Da48)EXOTnhCcBpMr
zzbfUEPXk?<jeEJrEqmU!&!4}<aR9&!HK?P8JXm8?qwW1IkkF>>{22C~1TL$ih6!UW
zZn=ZXzK3UECxUe!MdO<}QNkWQv`Oe;KWyP|=9G2|Pe`Dq_vgPhp#FbvJD+Wnlat$-
zYdV4d>H*ep>)B%q<3b$?s+c#KnQfr{g+uwW36^F&%>&@b6*MV-m4`44)_G5&vRea&
zVE+<9F+=@oq7HwPXR!1(=s*0<_S!PDu|HoDEyLWhxRz?G&nwTt##RnII|SP`Rq6a|
zWQQui%#9rkJ4y_4QOqkh-mMZZ6SYL+mH<_uw9t6MbSm^ou6r1g3sP-3otjGV2{b4A
zy(pfRualsGr+4xlHEr@FhDEVK05kP``B@xp>N=kip8qcurFe;}1rqHpd`0(soK40K
z%xNO3a9uzS(vrY_I}k~<97N_In3$KYNDs05dZ4yZQq7s^3SgxPFiYtaPzX0!Gus?e
zWqab8!jQ<ss$pMNSm;L)fXo68C(m*3zl?PVH0N$IZmd^X!4l_W+m{QrC8B&bRZI`|
ztI3;QyUuhmQi3StP1kV%081|z&b~q$-=_;=qhl!lAT1{c7X~Vhfgq!u$afX8aR01}
z_>KvXSyDrbh2lj}FrIS3VUL1OrE_yp(H3aj8uojcqT*lJ)IeW!ISO$&fcfCa7S_Ga
zcDp=3A!n#tRnyQ*=y?HI8c3A##d^9q;rox1#O(KP<-KJ%iO&H};(&ZA%SqU;6BHEG
z*%kGM3T250ezT6alXt4+>qk#uZBX*f-Do!<8s>h@$aO~ZE~Ac6hj!sDGIJqcsi7x+
zyJu5hU27#@U|@CS@;J<KU{Xu<Bx{!qWWWYU1*I#4k~za-R28KzZ8yNkyt&DUS1Y@g
z{%WQ9$7Pl4`cJh4)1?m!RdbGee69<&1b6Nr(dx86UstS9&#Qln?VN>wWc1ExNA+EL
z#quD(g>#|WY^2Zcg4&u6#oV#PkNhmk3^r!hvg-|T(XUMJ$?f_apZ~ewb&HUGiDT2g
zba0L_@3_mick^bZ;JWwxy1hA3kP@D;*3@IZUTGi3$Ds4bJ!as#n(#e6u0^OJKF|1S
zsb2R5THT*F#CSB7Ptrgi#8LfZLNP`vAp5=33~f>2AA3rqAMKrCGeNRTX4W==eEIa>
zs9{03!Qp6ge6RJ)CQA`<-M^-$1|@D9*LWthJw8a-_Ukijzy^HB2tc>lCfBljbHLD{
z&;rP&0}!83rvTZmcxl603LtsG<UVc(YXgFVlVfAL4n4F`GuL@T8>0r{r_GIx9ioaZ
z0Ola!tkB#B?O5|xX%nLwnxsQYC*Rh=vc8Wb!XU1^?~=F1s4G&d%7ikYw0XZ51r<tq
z^8dZR&y_*E3T*?8^-T}=OdT3K87|#x!f!VpGTMEC_U8e|O8|(PX5C6?$N4sIk{@%g
z=W2=mrf!oA|MiqJPlx-9v{fWV@@_+n)QgcTsniCuE~ciS{g9ezAF4dS%WfxnAo^>K
zi<5JEu4yu_WkP#)Bdu(6EJHRY59`5sQ;wCXmLZEEJ_5bZp}Y;JPRJ3KJKxTrrIe1%
zrmwYb(tVg{%yjx0O*Vl1;zuxmW;}hB5G&`^!)x}H>7UvfEo~}$7}&$}bFm&ynTF%@
z9NGK#U%);RI*xGwc~bJ#rt>x*rV!6J$&c$LiU)KUgz_g%a{82?#~I1$FcSb$5yvJ?
zw@ljg)1GzDh-hMJ3i6C9ryXfJqL~A5+P`Xk*i*<;{?g9NPJ?AoPEuQK^|gtv6P&Z(
z-c+5>VSDmnX3cwfKInju6Y`Zv%nlOzQL>ktmDXnf)?gvO7Z#Ng!}8)z(hr&To%c`x
zTP&?iWX&cjGa5dsGW2*3+#@o|)s-<mcM4xb;9&=kTIeX~XAtkv{!mahlf&5Rp|euZ
zVN8Z7iO+^gc!U-y5;y@}%aBO%Flmb-spOUt9&9`qJdn3x6;}ejjvy?8I<|`qRH~m1
z*~OL8-q|(HeQ{3Pbjm-K{zFBtkJ+PCJ9=7VY=n67h0!B=_4-pK=~ysSUq8WkIrvrt
zz++NUQbZOY%&C$N=|BRaj7$Q1&5lssSvAX_Z;a%H5wPsL2?k&M-KhY1jre{PejgXR
zTNUG&i6b0H=uCt>M<Q^a#W)usD3!7fyrekjxjXr5MmxU!_!#Dsn$HlLU8TDF)6FbJ
zxIF~6kT~&2<hop`(~Y;$l1k9^|D9%7!Rx#^W`APj2x;uXTe6yo^wQ28)rQmc26t?p
zIvjW0C$P~%mtXpV6bho8$=j?gF(>}Sut@(1H9yqNd-O4U=JCDodWSV%AHngm4f@Du
z9vieBY=Cn^ATxj4f-gWZERbvrFJ55b|3q)9Npbq~G7lkYcVp>Y?8?=O$9j5ml)g9X
znET9!xT>#1Trw9I*D|&}gd^~$KZs}P>3;lrmAzjAvGHK~*<wRwTh-lEVQ&w7o<!(p
zg&RtE%D8Af?7xa3ra?+tX(g*jB=$g}mG$KmI>{&4N1on#5_~vb=5qwXNb)Wg7&~BG
zTq;_={68%~nn=^!ZYK0Z%k|xg%b1Hi;Nx6axNKTDw^{8?fKzvw*Jc{9+(Z^jGqZZY
zjS?T~L2jT&0LQ=C0ZkPLeRybyqR*j$L<1tmtm|fXPR_b2!)7@LA|rv!MHp8Nc8tc`
zXrr@o7$(kB4<z$DgV|PSMO?yRVt#A+TzHT!qKUr!&7A=!V|)Ek@LS+FRR(q#L@v8s
ze4X2nqqOa*WtTQ}A2%g>BL|*Nk~<%aLf1OKPSI>rpmniI$EH;uKOrU|5sbZm&Hp1z
z0|&2ekntXksYI>tzh_kYE&_g92(Z3@F21N)`!Ql5L+I=`*q@<41YrQK{-xO~#>2la
z%HpS?(NUFc&kW}<tP0t@8>!YgB;>^OpAiew5SJX>q@k-64~3O|qH|5`gkIA5WcPx>
zYFp+8E46FA)$H!pmg7Dmcj>G?0lU&LV8_0<TVrC@(TiU1^=TX-tb<qoxr;{PtR`i~
zw;HbkkZcSb>4YFG54vw-_jJ>Gt`VxUZAn3aR<+r1%)<ZVw`{_VrND8-vJo$DJUxsA
zoB;2D@Tx5A<AbEpXr}O|qnrWJsmc;UoB67kRq2j}h>mio>JWYhYdS0hCr#EcJd|s7
z<}zO1ZAm5IRt$X+${wE1VR7oMrUoxBcPb0st-?ZeR}VDV>cX0s4*NfTC>^aI1}cIc
z)q?3XIIKd|f4hasSuAq?=lVqxw!{;M&=WRHurZTG4Xz7()mueP5`QqGj3&Bs3~U=X
zhaMsbBX}HL4!!j022Z-Hyd~inNbCP&#yK;+!SW+D)UaFJf+$Eez0w-<<V#6e8F?+O
zzS?+etFR~z4pPcOQuaQwd+TUod|WhNh*w{=?Y3YCo3*ty#C)BeEnLpe&gvX({d)+1
zXgw#AfOLv3djus-4X80kC1PKIhBy#u)D~H~C1vrhqw~F_`O^j8F9zB4w<vSXawd~C
zu#&7b+%X#S&4UaeCWIkluyPxA4OdNrC`{d%lu~R+i~<L8H#%%e=$}eT2KU%zGt8}j
zD~QfY_5DUu#`b-NWzf>X!q4z%v0iZityPm5vhF?LrGWvo5Hm8R{(pCn7XfL5+tWD-
z`i?PB3ctTMnI>Xw`*6@omNUQ>UO^a4jkv;YomgWtmXjz)5zwi`G!F@&x(^$+aq*%i
zS#AsPYerJ!5A2<g?;1-cpwwKtt1MSVabl!s$f8iHdR1toA;8Hz<x5r!d7X7rQ`77U
zkGR+86uZ(`uIO8<qn|Y+XU9gL)KphL?(wkOE<&P}nWHEnb?75(<{En+5(XKdOarJ)
z065_V_y5-<+f{>0?V!1Ii#HOA#B(;@oA)Nq&(F0txJ0OBLrlt}R2Dk)<rRDN{B<5B
zH~6&qhU<Mzmvs;|SbEiLO+D~d4uksUsQBg=UZfex)*w+3?VS*^k`e*S35n}}$UcVn
z%3&xF<`@r4UVBf?YG$o90d%jJlGq5r?GmK`n>PW>O*aPk;F&2X=#fT$d;>8@>PJBz
zx|Fr5N`JON?ZU`OUr?P(??=J=xfzW&kyHt-4OArXro(M$R6e}Y^%K^v!dZ9}M#viU
zk1<5E(^XNcX=>6*Ts^<H4G}=sr}*G9COnn<>Q`c(lBXO()Bl@txT#|+(eTxu$L2C%
z?8{R&Y9Q`l<CMd=W}@H`YEmz2d1=@b#_7kbv3O1-K!<|}H_FITlu{f2_|biC+9j0D
zEXhKvzIeDcBJQFJ_K8F_-}C|<1AS<9tNl~PWtW|2%wuwuJghgxYnxK7EG+m}L;~nT
zr7Uhs)+;Gsy7wu!>fspTw7oQ1;Jx|_VgXFY3)LV-qa?gPh078SMwB>rb8D-Jljm>I
zLW?BUn>^W_D@wZTtWU7Z6;mmUuoE@d|C+CB17?=HC!V%hijX=ZQ$R$Vx2@aVcRM~?
z-n@|=CUA1hYJ$&BA8La04jv-au+(Gy{Z}8Pm0C(&1L4$yYFrOZU**-S;WX0x$k&ep
zk`U-uzye>%Eo_sL52|qGxiQ^Qo@yUqaiWNdi@6O36nyN~{ooh`U;(--uL{wK%yiYz
z(B62#u>t{Vm!qdo1j(LNzUUdrlNsb)4&NNO_4i-!GKV=`ervVu+O&h-i?@{yeIpL9
zS@s4rKQB#ZDSnU6S~jS#_O!EO%N!K2F9-@Y9w0qVSbEhybY&mU;Q7?IYiXciko1vi
za!{&GEe9-A_?G#@>m5=zGaUj7(EldbCZqf%@Qf!FX*b-I|F12&PLR{X_4ympBf_)&
z9TGyJl{REv$Jh6g>G9~X#Xjz~XoWUu3;ASGro-9dGD#2h%Afz|RrWueU6wYah5HdN
zGqH1w#H09~o|^T8SB%$xK%~Eu6Md*(kIt3c?vX1&Vo!{!R%z(mQ|}1TREWIhlKonH
zn|g7DS3c30JV!19UoBzeNV~6+4f7!81>2)~*XKG}i$eR?9Q`P;D>1yi(te-re*ZqO
zBJ>d7`)lOIq9ECA!x?nrCogds{cEj@3N45v5-|`HJ;G{Sa#fpAXpfyEIF2DRX`GSa
zpH%!qg+!up0L~VHy;Z#YnvcYX^7D0783lzX<*DwW{rDNoR|Sx-#4{SMv&E85)jOQw
zWntmv8@yKeDZ7I~pzA;|c7}SGD$)op!qg3aD?VGQjCJU(x(69Um#W{w2AeqYul!8w
zH#TW)XEj&T{4vn4Y&bR2|MIg+&NB{(&Nt7dpQ(k)8Dlxtzw3}Z4g4{*I=_1VLu2FX
zy!YYBU*!@k7I`kO@W?@It@dh{6$$G6LM9qVF6-tBa}5U@5g>WRl^S1dU7x`5c}LBo
z5xpF{X<(+sq3gd&)cNHe*F0H5mBfxc>2uQ53B^*qNmg=xvso9IZcVDb?Al9G;DCuI
zPVrTnU%vUL>K?$!mn6s%RC$nQ%m<VRP^29lf0^bfr`=?&RMl5|@njjFy5C&oCjZ0=
zB#O;b?QLzQa2WT-KWEcC5B~2hF~u2b4-w3(-_piS=19)#j7Qs9?&lQNQSC6t20vNt
z)prdt;H56uyf;d9?sWNbalnDHF099qa#V<iID`$8Baz86C7(XjL@`#PNeb(JjN)^x
z4oPSnwzpT@$)t5O>z1gvMybR;t0W>s-|#?l%0B<Q8-yw(U17~4n@kN-1IekSTOcea
zU{^ex&0q~@pTZ7?$eELqK~iShVbzIRLp%eV`aqS6l;`}Ltds$N!iUnW_x9+#g~?Y&
z{EhCS|8Jhb>|(==T+aRkKd91ATWf!oyKw2cn`unigYjO3C=P7&!C~vDlvNqV)Mz9!
zHNVMj{nJe_S(a=+C6)%5PnlR~!?M{tM^u_^_%>N3yaThe)+;+H@~zEePGuiJs$xkS
zH|_YdjjtxNZjD4e2dRyXKcFL_-n-31KqK90Sn;3b?tHk~-Ft5p^%H3WqO<9>?6rIN
z6KZKQ*1PIcDei>)I={#ut8Ht`d~p1$#dv}xxFsF0qK)M30yVm3=?fx~u0UkgO)oaI
zPK<x+7}3yzI_w3BFbU9`1(K{@=LHkIO5#$;ClZ&{p}AAAv;(5+(b)#+Sj_AGV29U4
zPtuz4eflWj)^&d)Y2tO>(xRe1g1UMsmTttYhntQ0Ojez;p`lIe84}$R2!_TYn%{N=
zWz~=Cn3*yMm-p8SYFhAqN?!;DX>olkwoy(i1;K$Cr*?^{NWB<U)|N+>-El^18>N8Q
z+biu-eGjmTJ0+bJ>yvxR3k#v0i7@666jvgP>QeC0B$vCP<+F0rCrYumRz?{e{E}9F
z|Fr3_yB$LIl+sx7p3TiI5WVQLK^-e^*^GNkJ=bXNgj6KO2+){T)xH1oc@H;;)S*E)
z5zpb;7wHFaKi#~THAbCVpbsG6d54^S-xeM{fI7y5YMUqqS5|{QI?%7N+Etdd;ZzAZ
z#)gQ|8tLMo_f`6ZvvGQqz5X4ho3DrSFr^xej8auYBN%6MMZT(<EVE1I4#Ac(Rci)L
z9|Q3?pBY}5>6uq6``U;=({Jf^;-mK}n{A=vSZMDb{!P+@7lr7WD9*sZfVa0z<nndr
z`w6qS$k*o7&0>#|i<kDn+PrrHAHu-rpEMj|GDFjx<CqbYVmTEWk`OwcSPoAXpAHB{
z00LZh5AZXnE_$~;mu}Oa*pV0^;Ew(z$NpVQ^BEfc-q$frfjYG$8fl;XjsmVZGHq(R
zS!wdehz31vJ*Vdjk3EG4BiUcN&g^Zheb@Qw?2jC}OBVhy{2m9$o^oJVL$R?ph?5aN
zO8!?lze~khnVEsLcimmD4X=YOs%!b=tf=*BTK0Q0&Xj>KbE)i>RQ|$suMH5C;YrCC
z$o{wMp!>_39lIR~UsdswMq&7KqP3GVH8nLvdyb}`c21MYb^ni=%-mLVZ3aY@%osrs
z*atfWX*OJ%m<BCpd5Lw_YZ+m(gxR~mU8uJ^hnYn=fHE}OSj*_t)j*58uR7sV(vxla
zgdLgK+w9hm?rAW;_yg!rR8E3z>**RyoeRE~-g2XBgPE`|qtoBl0)l&BZ1Y@>Kq2rn
zcaqtSI>mw606<W7pJ#LB<^Mfr{`Rm@rOq>ZFZO937-b0tH;Aq1?80bdJ7{DvBxO@a
z+pM>fMx04Iwx3$p-U3T~3W3}R8xji(i#n+oBM|B9+t%;;)Q0-;A$0&|03NN<1{rIi
zO~4S17gvx&>^y@*d^|)~22sY2IS0s&lE|R#9h{n_5QO$W=Oej|7ev<UK&fx2C#sQ0
zg+`PB9gAw7@9F+3ATcLXgOi-r(DD>%lt~~Ah}Mog0Q}@n_W|Y*g+JeY6t{%#MT4rz
zu-t^}OYNqAun=66SC1(&Pj33Xo#B>W)(;91qcT#+a9!lJp~9prj<pbuH#Q;)iU@ax
zuMRUqR%=hA-h=(v+%Wr9E`R0faArDCQ4IG#X4q_2<SjlWp<E9$(Z2C#M2q0n>nC2;
zOl+7%MMbkk1NZ2yzrEn@{()ys{6OiBckJfJ7Dp5&^se*b=Vw&Zwjw<qo_K|IDg`3Z
z*r-C&xe6Zu48Lm_CV;@f5Q8EdD!Rx7ex0K7`!ve*=ccB90YLi<Kse^U&Bj(h>OfR=
zA$BfVtc}(NEg(wSqf=`I%Z)HQpc&jki7A1^)-L(q7-aW#n9~|Oz039IHKS6Ga1fsi
zE3T@=o}9sENpecg&VV0E!<;44QmXgLbVyvfYh#MpUz4<k+Gwfsr+2O#cZy}2$IMN?
zP}p$1xlqbBx=tl7PfQ>G?x#eFNqsYA8Apfo6C8ALr9#=Q2Yi*)87B3d9jk_VMwbp1
z%mUUk)xd(P<26jR`o^0(2G0Q|87(3bYn}qmOUQGcjKuD%jfp_TACB=`YBLkumr?0p
z|BcdrqQY!W55PH$?X!OXTEp3e3+@;xtNG@J*leWISU)Vt{F0_s!a!<Sc=tn@Zo@tp
zje`n(M(X#0wey8U*)l*fQGxYzFE;--bKU5&*M(N6$F`j<^#NBv^n<2-5_QIb)JMj>
z9}lXdUYxVx-TLXJlYeNTf^4r)U};}JeVN@bg;r#)&7JD}bYhq@!r+a0ifH0NBW-{p
zqiill52s{qgL>!?-dxG-e=Da*PBLpVGoq7Eoi{qbbIkd^?r80Er=|$^N(eKcX`ihX
zbbvoCw)7CpfE}Y4eiWfM=_nzx%U~7lWk>A}(3U6j7ausS)gCeTp&o52daw0kp=0LM
z?Dv}!P9!;~Epdn};7csS@5_SHpvB`T6rTy8*>uQHiIC9I(Yb^*2;We0*`Y{?;t)DN
z90lQ)?Y#GiUdH<J&tHLnEUc%y)>c=`j>VBgG6qbLdmj#iz~RO0F`$D4EZVS161?qD
zHy~!E2Swt%OLv(`2l#j8|75bf*@YGw8c8fRk=Jgq`^J1=35YiT=D#YHu`o7n44VPH
znMvomD2XuF9QYU{_oOG^A>GS#+SznC-jfjaABfH#T>CqjgykOhO42wL=4}@g%{`-i
zxXDym{bs$xub+q@L<*_$wc_z}*eR&SikWW?W;K^PRScp3A6;)5R@K_Ifi4sU6bV6E
zT0$w2PH9j;T1vX5yD<m_0SReDKpH_hq!EyA>5^^`3CT02`~A-Ob^PVE757?mJ~75U
z?f?*o?((W8ORGbYl7U;+`us~;iM(=~$GME10qRqWINywmM)_<v_dRJWL?NR7ir7~c
z`s*ob>R)Y4EMiR8zPWDP!K9_YdE(f@_i<U@WAT=M->;SsU@=x&j}^n_<G^<MsbxOp
zz1IyXt<62eQoBeZ;PL)CzBnM|rGttP4~CG(Ktb;aeDAKf`_23cF^hQx)mBs0E|{s3
zwD+I?%m<f4cKteUK;jV#gE~l1P*{2pmU|8DG*>+jyBPo!MuY&{F`Fh8Vq3kMIrv1>
z2Tr#CW9;-MynKnKGZ~3V^y{U!>HCH+YD^)98s#+}2Gl@&7Zr0$f#ed#gFDKEf*2F{
z#SYk70P!`|I<a;RJSyyuCJTv~jJBSL%fIha<vRS6Geh==j;m{rm#+3R`gvUim8skD
z%(fLLn6J4Iq$iD~Gt&~HGmF6+`kz#)W5S<h5KdG$vY3N&z28&6fs`y)0%%2rtDZ~?
z0^&gaTQQz<(LbNp_Z{Gs-&~z7I+&!;SqFKr2e}l)@EEFo&j4g=tffJJ)8ltL<2I<l
zI*wrEbP7%xB7na=)%V%&+e0oV$W&&$`S#X54HnI>4Wyvtyr+>*QhjFun5GC;3Rm&@
zvfnxEa(+yjXCpuppGH{Tz#ZQ#c=ipPqCX4GpoMb3s0ShWcIAASve#2*7Z)1;7#1x~
zYj0RPfC}|^{pTNp5)rhXSmFz7*vu~E_-!Gi)a5`EMxGI>RR%ca&=4r;9^a{F=`6Py
zBm@#TTz7=mM8Zco=!uh4)yb$v6LBydYpBtirU$;}SzZmmBO_A|mw@0>3JQwqjTyU?
zG)wI_=Uyxg9t50$EW`H8l_UOQPlH^yV2%-J+mgYQo0Ic)`L84Y0#_QeNO0`lZGFPE
zoM#iCPACZy#K2HI6?K=$3z~sdF7a$#HiV>$obm9$1dLnX!H^Q6bRhv;&?B37#W}3y
zWC<|Z0SpTu0ACmqAR>`i3dk>_82nJb1&|zov)Ik~085USTJ}&&DT9OKEC!YL4xrAg
z`gN!J7yJ5*yUa58e}3Tx*UD|?tfXRaY>Eg<x`B&KX1_XU#UONgwQ`An*XWD4@It}B
z6aE`Kd$3g)2J3Llrv8sZMJ*iIoy8Wh!Sm_<!hB}^(Pjyms$;gV3`mHuuL912ygt|z
zF)=Zcw2clF40bso*aj)n<lC9M*@bU(;)O&X1^j(AE84WR0`nEPrj&RXUsYM=^!yz6
z*)^Ef5cFOd=Gzk+5}b8;oUeoB^_Vq>O_a_eW8~`9tI{G7Guy!MumgIpt!=@VF99n)
zH#K7d@QOG4FS|Q`+QnKrO#yzlf<iYKK)JzFtJW=mj)VL8&m`voxr9t%1O$$P8JU)U
z-xXqAD0Hb-<IO(;u+aGG%7>NOUqBL&!n|EfcScXLe(jXCV)8fKu2%4ePoKFA!|Tz8
zBbOiHM2bSu_&A2;FJjdX6tdQN2Qj>I+o@xODqm4?m<TQa-@E=}E>T>0MGfOp@<3&+
zN9uTYi6)YMSiP#2pmIBq5yS|yNqV<^`KnZU5lfyX%Qbk6SHtE(pi6>HsqxtL*~pD%
z1Kn%<X)%Iwk$U0&v7tg#NiiFZ9P9HKVwV@Qv%fmOp>*5z(29Y%Osch&;z3_@xt~%-
zt%>=-A&uc)nx?9yLXe^BGx`!$TTqwfsI5ubTy>>zxXV3@zQj_FEAgIB;Mc}GhivcV
z8OKgmiN}3&eCLQ>7IE=_Tjl9Qd2;P7D&Hd-@gH(;MKQCsd}L(WLV2h8Hu}IDM?4#R
zR;+M2^o(!Jrocg$2<IE(y^MHeAqyG^cHe+Vo|F^=ARGez?9GRZo+IRROd5)|<XA4u
zR9Gl5toM7B`JY7sLwp(&Boad1zp_Zzo;H!8Ma0I`W$@RI!cEc5&CS@DZbMocQ<*Se
zzB0E`+NRZZA}+Veo`}i|2u0#>*B7jRIAjnKe=V=WMFyZ<&}qU%`7;Cq2BT%RSo%&*
zg~4Vc;}}z{NDb2w86VZlEX%Yvrs(<F^VZlV1rKEp;(@b7U)Co67lGL$xp@Qqvnx`f
zNEk^|BRQVT60OI$cSf3$CRE>c0i^S|YYA6$)Fw=pq|xEsCxA&AMQ=e0vyVv|UluLc
zHs6iyY&5{5S+IV}zi<GaXa0EOP~f~27?q23HYq81)$E??0xp?#yRGE#T=?W7FCfzB
z0N4}fFl%+gIfIEjV)6%>7S^w*lU8aA3bqa=>}CM8J-R0TugG~}tOSMk9cxAOz5NI-
ziF<rz5&rllRZAwsU+P=;PW`vmMZ%y7+4ock`Qeam@_G5_lPQ&S7oD7nxp|h}c_LLU
z2Y3I7_P4@}%zLCA_#F_EJ_6FGAK`v~`ei_5ayol2a3CwExXUf(QHEhZrr3M*c9oAn
z{E2-)bU<vRb!PNIV1&H>Q$~jA3hnY7JQ|vXL+>@$Oews|moy=?H=tNZkO+_Te=DLm
zEh64?>?e>+NkTHqxAnD{5+%+=f<3^c5LuZ>6I9pS=+M<2`Q<?(%wrZ9AE~XihFdQx
zk>+@-^0(6|di&xjK7JKM>G?zCMY5oq#x8#A@=k8wJm2{j$m>P!ZG>l@1u?nEgd3(Q
z$Y=%hD-dq72{N&S+}sS6_W9j+f{p+A22dnAKO>gvms-2;=Q~Q1Rq45G;8nCzxFGJ=
zdgmrq*z?Zla%z9ty5f@M$?_r!svm^ufbvGjzS~vl@rp8GBHr^;x!J3bgBG~`V>F<N
zf6o5sAzFDF6O_3R{wnB&lgLGTIm$`681fmClWHl(Wv=eJ!}@SYiY4u2P|Z=ZvH3zT
z7Z^b+H!#0Tp%HVQoy0e3`T42X%^1V?F`@H6#9Lq3Jh|;T#3AROnku!?DmGXOD%7(p
zWJz6DGQr?(d|dmDMk`M9*Vb0)&f;>r2{|RU!LQcjb9}V2M#t|mA5y=UXJGWxfRO;0
z9YnQnjFp&=rot%BAFs3c!=1yZCn6qDu|Qsy$PxDwfz{7&MpFDPO@A(A_vqK|5mcE7
zs}KhHXG^^GmNqtLFg;v6)g0hTmZhKlPfI!becpM^Y-%7oen_vv|NR%Hj?ca8B#XQ5
z088UP;C=RPd*k^yujV(queLIFs+lBhqgASz@}$NF`AlGeVH?X+{HZo%h@kNmt1UC3
zbdJmR%H}5bUxi%*U#ptlZTw#^g%n#bT1eSc%J+RgE<Xl|sagk7^p-W@eVcxZ=*(4U
ztU_9#EQpZV#-z#Od}Zc+m+Y|8WTKV-j^P*|EddzX-H5`wg)4?9<LIU^C?Fu<-$-nE
zR_4E6b!<`1AT(Q|&skXy=?J$%S{(HMK6sP43WpKDc?$R5=NPT5(j;fA&aNmOMG+Ti
z8=K8&X4SBcXs8&;T3Dg`(#&jyNB9;`;No=eo(CFqabVa8G<pgx51;Io5MpBzxDBc=
zXY^5BZ%tXV@8MsrfqOSx==Ym~b;KcNxhozSb*nj;{kv~x<9_c7tgVp#ATgUC-H}}B
ztyE$fnw;EtqGwXwOZ1f;YxHl-vbEpuH28!?%glU#m-Q+**1QN(Wb%_9MCRry?xbLD
zgzu!+MJE2@EAzEGXVFuzyvp{&J#5eA#?Pe%)xNg&*5So{Py9iRND-ICH--K`+(mgM
zhQuvoZ*g_Ddi|E`e85Y1E!1wL)>LcJ(W5Qww#xY}_T)se^*0#T#A3paIzo5rjx9tZ
zc|aezTJ5_KelR8$X#!71jxm|b=lIXk(h}(dGpLd2ZoZ{xNgxKkQP9XbBHlxkete>r
zstb@h2Sh~Q9ZoNRZT*ygZz1Z5UbS<MsaEVW*D)9`Dv`1iUIR&zrYS)Olqik>T7X%t
z{almF`p+9vHbqX$JqQa7AdRSfdkkkuIc9)+KqRCC;{-%Agd_&TkPYF?LxwKOL-pUo
zWu#<G(HfSyxT3;~+1WZ7rT6Zbq>bZUl<x-Dplg+G&^I0Tq0_x<mw5Z%+*r8P!{%0~
zlTSEMV)I~Q`Yo5n(7dT|_Bv14JeynGCx^na-g1c+quuvqbvRF%2w~vd<%Aag7^~<c
zkKTPsWmIRYqpX9B;P<M((Oewsb7y5ttE;Ox-`eV046+@oCPzlHa;^C5?>#g<JJR?V
z9!1|?oF9dWXMo<X(~$_-NblO_hrN4xQP|D7k<kv+f^J(#6l=1m;QhZ~KbF>?{or@Q
zW!y>VSUyC-)Y13iWQJX@<_N9{=qNhL$;f~^$sg9tu>p`mBK&mUy^CMO^&})D!1!+l
z*ax~jphH0^1%HpV^Z0jcy{@Y2eA2-*A5F~vaRI&)Jh7)Z?0V3v3%vLU+0QU|<LZW1
z)mtPSPrJ_h?|0!7lG}PHJ1q?_FF5Wdz{o~A9cphlYG5-#?WYAfKH%<j49VYxS|v+}
z<F3odGhVR=|DC)tSDHEa!miV%C(?7L;cAItriJG{d}(M;LFG0&U&DJpKf+G>YvfAz
zo|xiqWz8H=IOD<0>1FD@G)04L^uItR;Gla(uEgvpnDzZ|VF`~=hj?}WL0ay&1Duu1
zmz{?%yGPQmudP*oTRvDSCp>zQf{!^lfE^sGb+dw=E1dq+=%D+|{DI9&%}?d!t`w|T
zF#iSsD6+h-vc2yk=3r+veai|j;j0HxzV$OzX73k&$Ga-me60@03QIC1QOp)v`|(3Q
z>M?MK5j#Mr|3K};zByehNP?~B&~ghzYA4_hADG-;ya6yqz146obUZas2yNG2_zF>q
z0>_1jU2k%9RFl7Z(-j_&8G_Kovireehss<SBEz0Obpz7yGx*o86R~8UKcHf;-Y_Kr
zUP*@EahBisH@EG+#>Zf5jwlwAM~s8h5ZW=W=;_xqCW!F%gND<rJ3;-7`AG~|0rKtD
z18EQO0ifJm{kI<|e84aPlrlCo<0RYUWX-XX`gS63<Ent&Ko=tZnhtbTKnIh}Ev)$I
z`irW<d<45#@aet0($u9JA=J!3wRmH>=Pm?id8*|&{})j2xwr(p-7lLHGY9`^Ep34x
zzxm8^u711ch0}bT5GCBxFC5Rz>7e)g`SZnV>hzeeN_g~g7=sMsAoq#>W*U>gEg}%0
zd)Ch9x!aMn%24^3U===jo1s4Sp<SE%<!$`T>ooMaw(41Ohv(xifpQxwHV2Y*qXPpf
z!!qawO`$GVd;#AC0Tb92L)Y$<a-s_ppR7TMSOA~CNhtGofKbuT1=DoDo!3+>K*a%Q
z=>WR?e_2kzIjsdp>Q5eY$g^p9OG6nBgAL3*w|$#~l2?fXEada1(i*}ff>{LxIBAEu
zbaI>|*fGcLTh@+`SYAUVIiLJ`KUep&9NUl2Q?_m#Bx=rPUr&Rh4>un4+E`jT#3Yag
ziec_Xj$AW!0RE0vOaRS<2fkADb3F0<lc+6QuAB~@0WKTbOYZ-&$nJuudn7JX4#^Mg
z3C)fC0O4~AgYVoQ!)$=#@*8=QCEH~@iF?&@q=9qJiM*^geRQ>PU(9!Ey3J0)(FiRL
zECmo}AYxq*+nqr74U_JZ)4g6eDlY0^HFm@U7?1oh%#p!;jV@e>6T(&B#`FJM8*$cr
zVZ1y%tw#61e|%QV){z~HV-@@3JMq-q9vL}#-bc?H6u?X>n60YWm>M35W0Mx-EHiC?
zJeTptOR!VPHzkqQCPl_t@!*(LZ?F`Ajpf&bQdcgaP0>R&)Y$|+zkxLVH2!>dVhA#g
z)VMZS{Tvzd9eX4J+a?QTxcSzePj_kr9VjF@!VNo^G~tiMFdeL#+Id>>93uq8e{f*?
zD`^?^x7qQc`0Czqzd+=rP}u+)fMX?V7%54+izL3#3{6jqY@EU^ygga92L<yJh|5a2
z_wW1ht=Urm$qukY2*=5X6<=7G0)CUg`0x>#>Hj#66++(*{DCVf*PV|yk{lc|;~q*g
zY!F}y089|*-{@+?7t*c+b{C5!iaWh>byKUYFI6OmnoP^g?B?EW4UoQh^wYnD&GAA5
zb3(d!t&wBny#u&FyrKqmtG7t+-s$M!f+7<mUzY4;nuScYipT2Cej1ZAdX#NRwtMAi
z-%1uajK*hu2>2*NxdXr#Oqn1psnIa`kOB;dVF&+f6bwB7eUn*DNxbipf5<Omh)0@8
zNW9Lpq-bj|?n;wqdZ;?I6Zw+furE57B(Pw;r-@uj`TrZhn7m2EZtmN(k6TokJ4ex}
ziRci%&Q&ZD3ly-p_tINLl!Iedvhzb#%lt0Z8WV$DBul3v2MAwP2kg{N^3LM@L%2Aw
zho!C_tnFVGiu|KAI{17d(})+-`<<#$xw$Ryw%^!X0v1ux)t!`!(`8<}=^CS!V9=qa
za%MAifQB~=PXJI#+&_&`iUO;cS^wGCqhL;>Tkw#27MOb1MU~<<xsu4M8>E%hjE&RN
zn9`VX*A~GXKX%$_@UDVo4_2ns!cm_Avwx9OWcz{`15njcIv3xUwk$`GXiH<t<t8qV
z`WlC^bi#e4{%+3W<2HoXsow%$S=X$UXM7Zj3{mN}`iJg96yix6rWUto795yE-%fwD
zj^zENd%uAEb3oB&JIWTN91~8W5cTIDQSzDabuM<PE{dQQLGmRaGXv23@|kT&?FOjJ
z5qu*72PPZ-kBEd~z?6#w@wR~FgvF477OyTzXejnJOjlIzvE6*@>{?ut`}=H@-q7d=
zCrd{;{#LRMocQmL2PxV>M+}6D_Z!9*8Juj-3kt+aG=(OX_khusE0j5i*F#jnQM%#s
zSn`M3pZ%nT-sR<vVj-9iN8I;jBJ40*UaA~9qpH_6u&gR8FQGpkXvzMBp}X-1m|);q
zx<hyw6=n*ZIx&mp&Y!_2e(O3j<3&K%y)Afm-aOgmC!k4!7DxY^e$h8@yff7jqxT5d
z_xf%qb0uIHdw{@x{s`^)vwp6rfq}^0<&c&=HFa3si;j?EuF2xM!*Hoe7e{WhY`3d#
z<u*K2OPBsXbuSOBf2w{!!EpebE_$1SaI;q|`lP%Pe|yB#BkTA$IFx|zyrIe#3nH`6
zgHDGy)>tPUzTt0-18u7xMfR5dc(_ptwdF2%_T|~p`#)hE=?rRd7VT0CQ2Bs8K&&Z0
zS!j7#na|vH{kY2Z|0Kos;-G<|zJJgtm98vivEFHy_RB}H$|WejzqSh9XdF76#=;l#
z?hwzC&*hk9e_M{kH=OHt_6X}Y*=Ndx5Rg(MtRs?A;orS$;9vnj0Ihuq&CmKgKPM4U
zc4z`?KpzByX6S->^G_SvOv~eWp7yEh>*Mwd@}W^kqr&lkw2H{xK!znER`Nf;2}#ol
zSHJ`auOSpUV0?JiM#wJMccMYKE({bqyVrk|dQJUe^y)Vyy6*%zKGb;G#|z21F7&B%
zT%O$?!9!dVJlOL;F1s(U6Bu>U;YRqc8h?*8eH_VUHGg?|7r4aqtohD~xagM%#>sJC
z$T_)#kMzG^1{D7<zhD#HHqzfRj-LIO&<r@ELa&CqZUvpyrmH!p`Cee7V8#lE<gr{<
z{jp@%#r)UPsM*QVH<2sE>f^;&H+ioFG?H*_mA*=Ke%8hziGQ3e!z?aAG_c<vPU|ll
z`A!l(^}-MHOASStR%qTunqU_I6m6jIe2!8yBFWT#`d<Y&>pn6#_>Ui;9YtbdN!tA0
zhE8wyU|FA?s5g^oZFX@c$YHGr<Fy#DI(;^5D-un|-s+gQI!rD)GT+P~{T#w|O`Q7K
z8!eu&cVhnULzR?s7;k{BEFC+(44%I&U1uwnb+p-VW<dHAJtmYAH*_UO07gSY=7~g-
zSS)0duak3voh8IlwUh@fch#I9uOkMi06f4ahV5YwV*#KRJTIuq1S|USlK*@pXOGgE
z9#!dP4vi$<tktX7kQ^fkJf$?WO2dfdH7^-UO&)H;Y;$155+w_TwB5HoH$mv}CVo&~
zp3q-OU&N67HU9CJoQR49y2Sa7AO~0C*X1s*uGe1KuROmUt;(veB>g2S^zAk9e7&*B
z_!*`O2xS#eG+!2?bS8+eN&@8#)QME%M7s}c^U+RKp9n*<4FcRW@7$$@Lcg<h=qQn_
zHHrGngv>8`wZ~AyPu6%iaWno$*KBaeR=Yd)E9Oo8!<$QACAcy$YE37~Jw8(Hm$Zdh
zZ~=#u@!0hbkM?mxbf2Ky3=T0Qdv^xJsx}rd@7A!|u5NDLu3BOYHga=2>`4{`Xt)mg
zF;G34r=Mhtr{WonbGE!O#OWobWC>E6YAN1myuS2$zJJ25UKrX#7-Fq|c&gXFya%D~
zN=zUQxCb)Z!C07=(D~hWHX?a`?d;#=1$cUt#|7(v{-1zhk7)v2K|lgW(tKVu8nDG8
zg57h-b^|!-UO}bNa!)crDK2E~!mk(e!0-W+H4Pczj)6xsBLz%B$^_@x)R<{GIja&<
z_lMGgyqo*>Bex)}hf}Q2e`Nj68%M3*!3hkQO?}s#z{TaSH>KPrNuYh#fK832c*Z~y
z>`QqD83r7_vxUbQP6wa$!!h>sDr9Hjs{ZZ$mEIkHFTh>Mc7kUpBhjRoh4|VPDP@*U
z0Cm>)1DogWZkhJEBpb$oRALK&<>UwEVFV3`Rt-#RW+1~10p5{e?r`<U?sIsd@T5ZV
z65z({YeaA^j(4*3zenoN_uoC}$$kfI#U{8~Rf4Ng@z_SM??DOG=`6-@BFDe4j%te!
zfBIRbaK@LSC6!PrK%D0B<jrf9m^D{vB#~h)mx3T8I*Bq%X{TfH%?5MMcyEy>xrvee
z)-UkwyNa!AnA|ZQ6`GgqVZI_6|D#AKC5Gqxj1jYG(J|+srtXxyhh~uL%DTx!xmNRN
zg&mb#<eWX&nLN#~rsVq!Idi&fhX(~u1`2xPdT?=YevXV#*^&obwzRYygGJJ}9RwLL
z@Rgq@95jQtA_p)!Xit+iZ>5+TpSeP9hMCH&nu&cI5^FAtuOQuG-^!E&SdmOY*NB-4
z$+jAX3IBadii#v}J1HvRb)BEOZ!87%9Gesd>Fp<%GcLohA8*IA_5<8IlCuoQmCF?3
zvV*18JRzNliBZBdG0pd{)A$=}d~f4s^m6d%oSpro`UI{d&`!dymp*=X|D4~MDd~~Z
z`6RI?9Kqf(YFXoP)9jCDyRdEElyRMvy&pLR#Uy+dv5x-NR<ISi7ai@knyzc-KKVFJ
z*W1O^UATo=S2eh@ww9~m=tX~%l&totuFJ4GCXH5%mzP)2ZMcw-_@btO>)_6&FbIQj
z1R)2g*GVfTD7hRea{xg4#;&SBj4YU`Ku7uQ?%+ogxUZ90w<HMY-9LiuC}t|SH(L*d
z^KJe*+!%BE?DWq@95w5{wD%WpFlM>AT-dv8s&pp}&)&0%>O<9SHi|aZP8BsSt7rF{
zY4OGBt3-P%blE1#Z|}zHe&*SbPf(GVjx^PxXyfny7U%Q!r@lf!$v>b+;Eheg2UjU&
zzOX1$(p4WlM|R8oM1~A<6QQ`nF?Oqr5dlF#8QUrhb^1<_1bOe#3DNQHN`L?QEJh(a
zhOzMH!ti*72<OT1F@y7^54ATX4o#7e(wc=xn3`x6`<{7Hv^^2r<a$Moq_cw<zYL71
zR!)gowVmO$BXkyext;`Wn2E5#_zJ03VBa%1FA*5#qj^K5E#~HE(R|bs-=uuUPZ!UV
z9G1KP1^S^-DOxO@#VmOi1wGcGw%*0`nQH|;uU)SCxN?wCREPOktEiWilsFj}eEQt|
zV<87HMYh<WbHGot>5uUSTZ^q1>13_UEj@;=7u%A`ZRX}493K87rT+etu$5i7viC+T
zrZC(rlfhGAYgm`9ZPbqEs{WVj=d}!9o1gd^WREqf3~dgOR?v2GwmC%Yo~Eb+So9^l
zs~DemV@{6t6~3ChwEFPtXnG+>M1qGWUSie_esB_P|KETV#-w1z2)5NF-@ZY9`Z;2I
z)t7$`&Nv_raDmHg6wY*pC=b|DV2TN&dgkC?Wg~j)`Epb;tz-?oDWX&~rBHKsoUq22
z!dw^9a^Nt{rgCV74m^)T;lHgE2JS)%@tgrT-NawneTHUA-9FXbOI#y~D;At$B3K6U
z%f>|ygs*~KOI6p^tF;ow!fB5}ifwYwUQx?Ng3~c(XLMTeni)yv%?81|KYSv`*Z9N6
zFliJ9-9Khwrn7PK<;$ZCiG7^)-*_@EtbV~g7jF6^8CMY4_e~*!7c-At2ghUTX5=_{
zyhw^1n<ozj%HNmKFH>h>cbp!Qe+Mp57k{!ur7)+UtCeW00GkV|;ky)VDL{q3a-B%6
z6-cOV^(Rva31rKKFrd^fw<c}ocs^2qoU#vOm4`r0><&w2$+2p&GxkYe7vm4j%SSMu
z!lL;DaKKrc->Ho04tR`7V){U5Of^=ff``8R*c&vh8m4LgJ8kNjf)hYS4z*sbdB_nl
zzjLa8ip+5@kn5nGYIDEC^K9f>b+xsF6K!0g`pEq}-|!He*yyEK109du>o$4_YrHsB
z9d+Y&x`8T`=WTzn<QGb|Uz|H9jyZ;;vxVbxSi2_`G6lzuD*OsI^vPWpT)&%jD)|0B
z(_LG1{(6EgkL$)`>3$*FJi7;Mom@eOGWo&a`D4*fE2Rv($Z>!8DX#Dz$kwLyN5mS4
z=!N>JJJdMV6MA0_8j)%A?P?IX;EMz5n*aMV<EUm{UvDDsHfT*Wi;P;}865!#4FeNl
zfB^o2<yJj_)=;;4oS*(hm{;Ho)m&^1Nnh|Jkz_h}D_~JPVN;>7^1n{UUY8o7(B6rX
zQy7#VbiVe5inz891Ri&+!;V9CAELoD=#47Dna^K;>+e!`@<<7#Ih=QNpL|yZYD1}F
zW$!Y%$@sOVJbWr%YnQ3=qBOjR^5hDGLcOZrcQE_76kyW)Nc;z<480wOaD3f>T-q-&
zi38c!Z)erGsP9je%3x8-=?WSPC@QDdr}N(g+<LAl04P#``#8n2>hNr=0Fd<tFP9~k
z>IXb=JaN#Q^^ET+A#O6M5dphl4sg8Ui-RXtAzZ4+T@0JAP`|#ey!;@)qz7qKks_=+
zk(XV!5)ZCY$;Hj<Ve?NwSqpq5Mw4IvTPQ&s*n$TY-*B59C<0TnFQTTJ^eRTRzlFz=
z%I*DGq`T_j2*m}U#Rp;##ugai==_vNi|V$0E@V#2U*B%ObE|vth9`m(k^bBP$jxr*
z4!$(44yh}l1d&wst2xJr)?Jl`3qGi+NC&Gzsfg5Uj-+uZN;D&zIr57w)3n_`>Q~y&
zLH%$BPQr8Wq5z+3R<yrH_3ku=JQGqm{NdX#N&cqusX<$)bRek`;8FnfouBW~Tu?GQ
zxE;?Rs%Rj^q$ZQ!?e}{8xD!T<N#FmO+5#xH`*_5K;sLYKXt~zJGCsjeT_L4E?m{0r
z_9P5Re)jb}ywWpAKhravxutve**iDW=OSy*mrU7jC%``p0`ow_n(tvO{o#1OhR_4?
zq-2|Ey(gptrI-am<JbY$wGv@HDz)d6$MX-r>(PGN=Ri@C=FI-`&qHdZsax)1cx-h?
zzhL5$<a@jd?}kdldwMQ9$LZJJYx`??q5yUsplwW6l>|RXK@Tdr6plxW`3spo*YAef
z<%2#JPE6pI+}17&Ps;`h7I5xPkU$K$Uu4cm|LaCj6j)Nq#be;H6le%@N!M?1w9v%T
zhNA}>DmriG2jf20st^@1AL>;h9EQHP{V2G_XskTqC7yU3#`Pd^=$$N8frI1`@hH}a
zJJtHm;75A7Zj;|CHxvVXx=`#TEUc=Zw<e|gXoI)Jz=mGX>IFt_0QH;WW6#bt&-L`u
z@VlLvBhXw8k`&8R8*edxeAH5zYoE|u3tb5~KK+KW01x}BjPNEhEdd4?==pGc%K$yG
z>`veg658bB{7525cnzGkY<iYl#qb_wz=f_?$cu-GZA18<;IIKpZo~zVUIJs=Fs@y<
zvSWD<Bs}GnSDNwOl4k~l2(bm*K*N)oYWT`bJo57=oy%JBv?f5;1hquxrYixu;e@Qp
zB#F;gA2fP7ATMXAFl)smcVA#PV}F@=s;W9jlajow7po?)!8-WaYz)2d>t$2i!nX8}
zMhzj%k5rVda&)!c?<~%y+~Ptj3!s||47@seS+xJu*U!o6fx_Y4;8*W|AF!>zTLl+`
zMuX1~$P;}36H6yz&GWplmIp{N@LOgWEUk3G+xrbUnI7QQiPXf9l{^11ixq|-zzWg_
z8WF5?MdAG+tL{A}fq@kJ!V#}eBL64gHQ-WM-`-yKs2k8Fr6EM@;fCn_cPZL{&2IdA
zNs@{9AO>qv9FsuZtvdUSmRpw3`45!|8AUvFAeY^VY^&iu_aP}(xc=1Tb1qilNN1jM
zw|&)FX~BBA4V8(YfEXUeH42Lapr&lC(V9xFc2;atnT})DZ$7|Q^}5%sfXn%sWUK#%
z&cJA7G>45FFa!TCM1}8OI%kAEqOGlMq6PlYABvfRjkL<E<M#jw29N{#IaXFy1Y?5P
z!H;%iK>#V}X@RZ>j0nDH7NrfGfE%;We?+UYC}MjUoFTT3&?zEk0y5`?C-qeC5O&EP
zM1hO!bv<DJwo!anq($;Ii`#z(SSy5z!E88cMiM_T93N|vLq0fa)QE~Ecp0?DPb68l
zt^p6E?2vi4bcRkXP)plZ@sBI^(Bnubp7OrY=nj_l^eD#ehK(qYmKT2J$@2cD`<eQA
z>E|V{t5Hd0bKM&3z1w3Y7&MZRCVUj&2ogjNW>e4<I)7aD5LvUnvEwfE@?irEnb=Z3
zGpQ8aPQALk{^De!snOusv)hu}QCQ6!S$F5qpZURVX0JP<70<4(zlc^<B=u-Q7?K`)
zOX}yxA^N9AknjPZ5U`t-?|#V5%OfWtfthj{%Q_gzI^HR|c+2<^HaHM|s$gaV*)FQ8
zQI-kMo;`!MkH&d&|7FlWE;L``YPB9)>@6vXj7Vcj>1``!F-f|_fdhY$p`Ll;-mri1
zhs;GY%=PZ9%7N#?!UeEe-+ud+#sto8r9$+cGq}z9lGG#oqk4C*<dQdl1FUA#Qg%Jw
zf#b6=ZN2clF?1;=l4APMVfh5!tRSJ=zPg{^+iHI98hqWF1S7)9NujW4^psv+YY8Cz
z3}!t6Uz0^gr9m$2=1F9}kncI>WIv={tPROHQVt7P5_ws4kj&`=wj58tXqQ3Zhuqx2
zi3PqoP(P=E@d&i6ds$UeTQK8CC}J=w1PHSg3ajPA6PT2-!E!))X`nd~{FNULx}k8M
zQvhrO<UYhqMfC6l&LLR;Kf?Y7!x9^)QgN`cN6XJr&v?!4iCl4-Ibb^Uvh^{Ff+%br
z8U?NO4>`LZ4ec7N$tRL+m2#Z2z$VaPJ*vg1C@YIm`s@yASE!KH*wMk3rL%=El&NJ~
z783_>cUxc;_U3Lk-0v*?Dnxbnt%$lCjX!gBVpJUF#ISbCUgd#|Mz!3*Qq-$1_jzLZ
zm33^CNFsy%6|gfq1o`j7HX9Uj08(s2+yhVI8J?GV=)#Rc0|KIgK0kKb2C49A2VXdV
zzVD#k-3BWG5Z^tf+k48<h2v2rU-XPnm4LXxPZ!Pi&mu4On8gn=Gj+`v(}c{#f#h?5
z(b_HtxPN+qm$^1naDKI8P>XoO1)oLyq%%(0zn^3sz9$~K7#@0d%$0{OV%LP>W7r!-
z(lf_)+O+B8CmbZ$nqDx`S*2b|EbtP&D9)OBz}1e2vbX;yoBJ%XrkpT<C!Ub0Fo~YT
zYa7htS>z_=rrwhi6RwZ(&YRg_kMlJik^SNP=+~tk%;pWvPos&?m;a6)U2-4fl2RUW
znUaeGeEaJ<1`6Y!+^6AfjwXw3g<jNi&J@XQ9PGF4b*SZez8;Qu?bd!*8XUUc(%5i$
z4s&%j;foWDtHv9WyrM>rP<IK=46K*=;YjnnRK0=@PPmJdTEXzJbOC}Z=Tq9>^70Nf
z>>^pTMq5YCW=xvuNN);WmJpZa?BaM(!x7)!A-HYoUb2w<AZRmyzuBYxJuiPdpJL$q
z=9^88lns}$cv@rTUo@h@BxX}(+e>}KcZMn;;5{6JcRG1yw%PM+)kj8(t@ocEPJ>-S
zD~HD;Qt_l+iOg=*du?7^C^N@9{1JnO<87qX1%hF~PW0a<$$+SI2oY%eyW*P0l&O;Q
zkeVZ;;vsXHO`=MN1BJ+yhgmP<&mmlV+s`kby%rEG<63kYXl9(G)YVZOugjQQNvy7{
zDP2-mH$RLgNqs_HIHD6#z22=LqMR(GZTE=U#Y^bp-|H_7<1|@f%AOuBc7+{f2aQb4
zhe;F<Tc~5%quD0Zjg>sa#6rLH;c8T2z^}%EHjJE24xBqey-yV1g_pjc;p*09d&(9&
zbvl`B00Yo1Kgs9;*lp73ja+X2-Y&Ryd^naCk=h3b<avXuf9}@`b{2!ICqu;{RuND9
zpQDoI8BX$mSwaIO&9>~3VTgl-bt%SF3pHf;1y~c-KZU$;#4V%&E@Oyd{@G-xKlO}5
zRC>7fR!i^kSXDAAg(X7PB0=Meo`-=+(9<Ew9($(rwMf&Fcivh+?n`=WR07umHA+rW
zOszsa1Q-cxYq~BNG+axC6w@!CIIHH9TBc;J?*C-eALgn>Q3q4$Y|dEo0LbxWoF`C8
zu8*YkK6Yx(j!*X%JS4>|P%5YQ?`Y}>=mdEjG+!j&RLbXGY-~D+i0JednZc%tut@kh
zG4WhO|MDlwM(XeP<x>m3?t8j{Zr#$7zi#`Q`1Pw#yOEca#Ta9XhWXqHhgT{_Q62|n
ze<mdUfDu#t@#DvAZexwup%~X`QksflES(mmsr5r&l?r@#)V+Sw^C{Q>7io4a7FZ{k
zMO{MS;bL9Al%r-P(xC#pe5nwk8`uvsYv}Yt-O)qw`mn<-cN^|-<;}jhu~XDWTHZ{Q
zYxuspjeV!c=35~gMmE<wKd4nUa8eb#FXZ-VZW*~A@Z@cpCKI8olZ?!9`o`3)9iCr}
z;+Zw+n(s=>%PG0dz@TwMcp)#d=}K4`8tO$f*}1$&+scZS7~WF(7^OI4m%N{imk`9G
z*aAmd^n70Q<J_GfoZFr|jTq+SB*@DR3+Y{c&9F24o-%pVA(-!-5-y(jQlT!7cvgla
z?Hr$Ck^5f@k2Z_H>GR(!1U|@vd6H$pZT&a}!j^fhAGg81JOa{40}VN_=l4CAy?^=C
z7;scNuMWt!>KBgOs<>Gfgl@v$Rs7-6f|8kzK*9}o^@^X#X<k7gSgJKbzzMpbf)*k^
zlk~lnP5<N(F|PY99v*L|Z^rKK+^8Rv>TzrF#*zi5_gMFj2}{nRKofkZw^_7N*~~>d
z;{J21bKiuMmSJawkb4mQ9Q-}jS6Aowwtx-+UlRz1agf)DCw~171jDdA`>VKA5%aVt
zV`<bu{H<H%2TgAditnWE{$W@&^vQ}r;;D}OATPF=VCn2ArU;d0WFe-q>u3UQ<mbUv
zE#g%BluPnXgH?cv!<}=x?Y=^k%3aJ$%^cAx;<8oV9)1NurW9e^HbEuUKfh#*{QSvt
ze#@$iEL-@kv&Zj{6QP9OK^F3>oyBQ<`*oBtMWnyF>_@`A3K!H4e|y~u|72NRuzrkn
zvPHucWOn@g1aim0=4=cg!5Zn;0EeVj{X)?AqmGT??c21{l|~&d1{Bi7EsoLs-}k<+
zL#Zj=_NI>+(#Ycr^+@&OSeb@}Ys8q5t-gDZm<Pn-tdt7T91w_#tlsf2t*F3w-6$@m
zK`50)i1HSJJQ}Q^W`Y84?APyc^9G+R-TD)(U_DX3k#oI8^%~BdjV>ZGlE6j|wS{nJ
zb_FLCfxC0CKsl`|Fg;*0*)-3EAU4TKH{XK7&-y_7n|1wD&u-z$SGqJOiw6g;AD4-F
zg#1OY!qnov<aWFc*lcc&g`u9RKomCmr7eL=Zo*9wigf;!4-QmaK473=9&9s_%b@%S
zC${6{P1*_59lb)gK;?eA;YN%GJ;#-3SL_EnTU5Xs=Wa$9x%u|ApX#iiWgc0}eYz0k
zH)mg|kta2*1CTvm{Y<#d48Fj9rVN?8T}07j(%Es$+f0OJYH^zjygq26VtClpxonTp
zcs$hlr2<Xq<pv(<mXj$2ifB|dr*_FQUsX9=czedYD`clE%^QH#eMvW$?GnbG@(ynD
zS`54XIkW}a<7Mk<A#4Hz5m$Hz(S3m{zvxJcGCRNL2fqb?z0jPL_}?Ll*;x$!-+@%#
z_~K5ogIoa7sKv2v<eA+ol1_K{by;v1&eZh&<S%za=IIC+=GGPTRS&Px7=k<;qx;EX
zUg0_e)pfO+S6h7YwX5Cg>4A5C7<vSLScab}8B6~1lek5i5qmgMq<be=#368VrLSom
zs6xQQKz)KS6Y$zooB5e3BvunZO62E2jl41%=LB%$M4|U2IYt}X1oCb1J4p?enw6~b
zg;8UQq}b`@4N^tP(yIWtV5+ar_91Lxl94PrviRnY=y__FEEVSPwi5T<U+2D=W(j5T
zy)wj)r(S9rzy~%l>zn~O8bnBFoHb)BK>FyOA$e8sFDm91u{9Ww@9k3dPpS|uLaU{<
z!lWpm=>-9K$TIhsTk6G076@^@UgF?1BmiC=5fS+6>TQsv1-Yx7@kxf$f?#zIV;m7l
z%PEe7@IRPIXtSE-7J}bxnwEPC9!EL@LIvX+&$Fw|9Fw-O;F=J#7(WwY7}wL&Gp(nc
zYjcnHlv0dwmL$evjAi$WBE!v530qf+HV6sbBA^YMH_;OLX!}NH-_7sP4R94;`(0;S
zr^F?2|M$TB!yxjby5RB)YE0u>v{NqQkDRKTteuKuzJV3u;i0N&&=2xr8AFKFYf1Rk
zxy-Igm;v5qCUL>U=!UQyVAbo^sqkW>3?vz-JE8TO-+LHn2;U55#UH&qYNx>j$F!so
z;uA`3P}CF=K6Ri1D&$|b%-3au+<?*Y8z<8);U=+#(eydBwLT)b99z(M0r%z{R2p{Q
zHhJV{+nUiS|9h5Ws)TnEyYB{bYW$sC-)D%DtDo793C+)g1uhpDJYOjAv&nk!E6a0`
zN!*<njPRB$c&AXILsP(Bn776qFVB#yNVV$tD92_ZS|x0L$*bU_VH`4or3a!hMUd&(
z-*0qn4#07NUzwHyVa<D|?K_0?gz79rK|w+7b#AXSw<_erRFVxlwl|eY4?Y<tfpL^m
zVsm090xo;iP6P6c^jzy)<^o{|Srd$d=OC^T!cxEm45o{x^Kf4w^iGPIk_Lw)MsSM(
zPrg;aj3KN@h_W7N*l^I-Wjv1UF&t&Q$^eue<Q;Vb><%78m&#;jSqewdKPAjr=8C73
z3qZKn{I1&F45rw{yono+-*lLUe^Tw>;bPW#OQC95zH0n+y-?=#Lv}sqIbWN0GArGQ
zOgV8#ieus<#mc_od}|(v5M%AUgbFlVklUNv^EZqmh*31|?3y=8So-k;vt)Zp>QT3y
zpJs6*E*^KOa-pvG@}^;U7EB&+wgKkDt%Ct7P;`HQP%D#PK{>kDXUhrcH&OIa?MR|{
zR69Uqi-=Yc==t^De;p5DC;mlnG>8{Ky_coe$k%k3ZFmVFqA0ZX2>lEpJ_bdkp#Hn&
zFlo5R!Mer5;tiME=k%&Ky5#o?^wbyUejQjJaLPrRXl(&IbK5*GQ>(kDj$?vrZC?N-
zc~;ggLGk>gHuPFXa9ZWmcpJtHluN_q_~KHE<|I}YMqe6-*7JZ<&PArKKFooQg1#g2
zbCe;Sur?lenQZwmX7aWbyAh+wK7W*K2wsN;>rUKQ^$=wW!ix*Ik&!to_gOsR!5P9{
z7bi;(F0`{md2Z=bKpH(tIk5AdCr9j5f%}Ot4h!{a$x!lxr{JV?0uOB(Yy}}rP_(SN
z)By0ee`mb)f+N3@S7d~^WI>oHWi%No{^e<ywML}r7;BdXTkP{Pa)6@z-Gx5FWKcd}
zEOV|W<@zL{a4*`!1qBWfA@g@O6SfDGF?sDuFO6+bpQ4eP>F@sZ^mSObZRQ(7y`UqL
zrRQWsOIL*!9fen%d5o6MWs&HCl2Trxf9XcC49l*ZWgRkx`xm(B<~PSmmUr8z%z<6q
z8akg?DnlD#=XWw;tiLr=e}N>G{FiP4ipa^=LcK_8C^DSk0imGp*)jCVhevdxhW1pL
z$d|(t2+)f8(7SwcasnkU1_s9CjL3OD#-*S8p2;+df9A)&-JAWgm!E;uDX0bxdB|Fk
zP6zcmUfQ}RaGW%<D(#6T<tH36&kgJZ(Q!tasZ^N=Svs$^mz7)m?4Cw@fk(DKBH5^v
z8`QO?5r59WW*vO}V%16Sex6QHV4$?L^b);+vz3EiU=`hI$*<ej;JE4K_eF9XfQx%^
zTzGN(D}?>yc^6m#5}^v}&yRP<PE24jfSutCc%kvwNgSjCUq&HgxB1{B|7Iw!{@pXV
zpbvsuC~W@4@!Z;<;-Tbrlktg(GvAAvX%MZnIY{=<n*@Ik#KXHXh0dW6WvVsE1!2O3
zQlufOSD0eI)#}-qn=d=q4giyr?4d-Ic-`?re;@-I27%QSB;zP~-Tab)#W<4SsCtO*
zfA-dZhm=4>{^a$iwdwQI^?;@<6RnS538|6~Cgbfx@NA9ffN~LqV$tV6v;K>H0~>o1
zK#f)BW4O#k*V^HQP@*ay|H>+Y_yZK5`_3#FN^={6JQ1y-udi<-?HSYm_FJl|N~#hG
zDJf0&ZTza6@?3mBd06Z6PoI9-+FsYGg^RIDJ6$BB`CeCe<%1-ZOX!$15Y;E(EX!_(
z@4-rW??i|UrS9^i;CRBU->a|A5k%;1Q5Rst=~yMG<DqbnZ9KSIphA~TN*TTp|Gt4d
zu#vN8LH)4GiX>lm{DQLA!zS@|VnytCv*%ocDeLXaK5-3x1CURO%65F!W}!&=WjD>M
zXLn`=1S;C;{YPMRD-e}Zr2XY8N@l7~FGme!0D!eEgJ^tiZX4yQc+;If{|?ZVA>#xy
zhA8+_$-AjPW%UlYglpyw?}iwqf9YpYcg4POBXr*-5f{68N61d|mFbfRFV#m}%@UaS
z=rk$4>(y*t!x=e^?+bfM7<#qEa*DXP7Y=zKhuQoRyaf&L$O~z|{dQ&>_v-6F`<BM8
zwBVaxZ^x+g$s2yApkix%Yv=O(`MUgcgoK>x;Z8ooZUFPvFJ<>04Rsg2`n(l-!ncw?
zwDPW{Jv9_LNLOU;eiPaA6$+Img0wLYNG?E|wL4$3i=6icRnFxXjg4Z5ouKgS79Lah
zJ$33$wxwDF+=n-mji4I{6a7tqWe)Qhq-@N|(*7b4MzHtPwD-GK<JUrM<%K{<3Jvvm
zCQF5V^}6~GHSO`Vcr1x3?IG7VB@S6kKw3VJ4JP#5<fPfp_!6;EH+TC(#|P;9n(l!o
znl4)wXwvWetM@u=?NMJX`qRL}+iE|!v8nCaREcjnT;7g4pd026y3e9FE0TN9c8mfw
zr!}0(f){5`C;r0xMwAM$BE<NP-7u2b(8XkdR2Y2#r>)Vd@8H4<EB|Qs@Q&S$4kxoC
ze~UmEFD<+do3CthdFB?LuU)nVNbV$j$3KPTj*A_Tp>mv^l`L+5^}oU(*;7sZN?F@>
zve5`H>PYy8lGl=#gS8Ol@}<~V@|Q2g2fm6-w%LwP+UMNS59Ro6+HNx7K+(*B-b0dd
zH++tN;vN~;Gc2`9!|4Qjv~(cvRgrpTp=?i{qOp#l!93)4x801}#iW687@(S|e-w<4
z?$S7C6fRanC?Hg4idAI%B-pQplD~N8=L$(spg3$A9RT}cJhZI1eU)LjSt11;N~2Zh
zgnXea_k#eR$cxL&91Ht-c|8QZwV&WZRm_}0Yk0=}pb;TBpdezxz8+y&O+|t2z6Q!2
zNtFPQ+EQ;1#J_a@*5jqCvX57u@Ry{#+}_x5zSu$BfnhqE#BmH(WZwIE`YsnBp5R^o
z_Fq-Z6|b|OV47Lr)9r+V>T=`v{0B3hoX8Dx<uwZnnP1L`X;!|Lf1wKB@D+7sJbyFA
z{hNWB1mfMxdy9_oBNb(Lq}zTHYw`%HggwnG+~2<s9P-5Cd*4_(A50!lg|xtoCxgg@
zBmw)DW-A&h#(^bhI8;f^_Cqa!Dre`Cv+C>}U&W3Osj7-BL|`B>Y^8o9=yuy2lEzp+
zBf1#=3+pQoIzSh_he$J^f`Tj6zWD}kW!vM70ffARu%eO`FE>EmB$ChbMZf+WT#C;T
zIRTsko-DH<0u~1UUc`eOew=85wX0`?;0XLv4{=pR#?=T-H_-npcbACT98d;hLJfo`
z%?gQ^<0>(|MPwsOp;7_wi5%U<p3v*BV18s=6sM!}ah^~7jp<%=Q*?Zo<*p?C)&v@=
z%>g_cEw?n2$cX-iGfeRR)FbTtBVa8ta_>Wj@^d$ZaMQ8>)#dei%CBe(@jnILSz{=a
zaO-|C`rT&7q>>QB(uIjoJKO&TD<o-5+P=Ad`$v#3+@Ija50g{mJ?E(9e)+-*DDjOO
z{9#VOZmGf&LJ5I0ZJG8a!0}q&Ty40>HrK$*^jm#>y(Y`02B3lw|52bQ8DrdmSGYx$
z$-=*~_qSE?;lBgW!nVCwH>SF?!>s;kJclH6G`a8lYR2uekGL$Iz#@l=e31#J4fIlm
z<Oz0;*}+@fERE!U-U&aq*J;D3356Tcu=I|Sm5EpGaDxNGj{Q-;1RHU#+FeLgMm0sa
zOG2iiI$bUQeM*+UlDAQWQ&D-+x4Q57L&f5obSPy}aO7QwST;gQF#{zMl)K0z3jPoV
z@-r}oGtO&4Yna~^g7Gmzw1@BFwl(<|Xa`p=y(}*;2QkwWh;0$2Or;wKIeMooW&3ok
z*VBAWG!!_Bu7gi!UH}fpzf#%fyF(Hzg|U5`9D9bf!ccOW^hM27q66tdt!n4hS1r7X
z@Cad~6*?lQeYLhpX8nq@>PmNc!mnFEnghd^twu076%tCq<7s)_(#~!w*yZ*5@zTK;
z<wvZYj>J+Au+!H)!IrLI{nG(ow6b%dp(75#ya%LsfRl|TOJLp#zBZF)0A*^r1yACK
zM^b}ak8-Fni&=o1sVfu+bptC)pdpkAC&wD$(XML450$L!^KCSBrLZgle;kVrPfyqN
z-S-8RCty-4tEw0e1TU#b+~oeG#$Cg$o;f`XJTemOu;dNjR=(d96O(?IX#6Yl&Yq<)
zvFVgULv?tluggS8(T4Tgi{JGPo;2%Df~yvYm^U{5c-A^mVnK#3$4i-&H%u9j00aAa
z%g21f!1C`S@JbL6SjwGdK&}q6w(Ua@Nx8dgDmg!6zHOVr;PMy^db4MQEmuOfj6u>Z
zO!<Vz%VW4a&o*0ycitGhkieKk^!}`?#d9*%thU@OQbBV)2)P8XXu&n8_BCsrUf8fg
z;-G?lJCl`mTI>MygrS=gGMLF6M};`4bf5}@7HM)?^!uO8nR1d(WX(j=9*^gaUdNO<
zuc}zT3jX)tv|@mw@Y8}zjT^$n+Z;qvw!d5Zh%)%UhgS2gBpKA{S*VAEQZNbfV6E;2
zu)aX~kU61kxxW=x`H^E8lkC*I`NpyY3}_b}MMmSVQCi&CI@#GmRp;z&Y+oCf(%vt#
z=HaWDs>c_9@DfW%Ts3cG9bVz+Nl=0Ghb$^rSA6RUyOnf3{oN^HI+2;9-z3Q1(#G@0
zgD&*&gjnExx-p4aN5RHCzBthA-w#ivR18MwD&>9~+^c5Bj@4G{o)7h0=6;zK4S6Re
z{L~@ZckO4>8&E<ubA0mtb;8--A$$ouWfTH1lMPDbW+82lAqr3|(25NvY2>KEr1mNb
zq3oDCW3ncx<e;BSD_C`C9&FM2fBs_@O1!>bZK_r2j*V;tr+YWw0&}8QUqo~CeiJ?V
zbg7Mz<|Wywk8iSo&ZReKrmn6qxIog`IYMIegyfco!~=z}Y}+Zpe6yfFELZEQHe_s!
z2-`tqWnZsb<Gu@=C@<*H-W7V?Hv{Ks@W_6>8f;JP{M(8r(f?rsCnGNYBhyY6RmkXi
z@^<+Qc{T!N^igtJF?$|b%F&tgsOxF^*g?&35AF%C+Gr7>zP^LGmv^8!2?h$2j}Ra@
zf5jSO*;&8c5dBH;a|qk(w>E)PC4|z6NF#tnA_->gLjFO0uZnEQDISIG9KFpTM73Tx
z{X69n_$SI)JB>&J=PQ|=9AP%Bl^H!=-i>(YFfwo;D_ezwg$jihcck?OtV1Ih(MM=#
zoqu)z(Vv=~orR>nTZj=VJl|R%-2q;KFoa>wFatpr$Xp#-J$GO`^*qnVOqLbueeSR6
zZ?C$zbCm}5qQ2r^N06U8Y$cKccD`qk^Og2|6ya@IN!<*LLQf9dg@77>)=YG-+vJC!
zfbURgWp#}63vd{!M59b4u*<x-eYz7Qsz!JP1xJ}aa@cJ(Zu@L|T^wGV&wvyTGN^Sy
zUJOlT_37`<<$EgriY#)GTraM%w_@8gy_X^hAjYH_MFYhKp7;Y9W{B@)CJOm<fSJ_d
zR4oA>KuceShpm7yxNc%$Plx%cclp73jMzj_9ubXVUzAG_#iQc=uryyBS@31p4G1Mj
zeUcf^umf7>t1sAnRv#OW38KEToPe<Y1i}iwL2v+PJmRVeP*)Y0pZe<2O09f{0${O3
z!*u54^+=J=ylc~hKeoH6*WX+VddDWB66AxeaDf6jxP`XR?s=&B=`^nStU}0b=6hwq
zlOt`2%FHD0r(%Xmu4j>kM~SV=K9N>L9{jvSRp4}*PGqD0*P0U5$j<>d@afXxGpR6e
zC{QnusI{mdHV9Ay`);4zUoE-0V83zjcR3}c6NRr$4aN}Qd}aP+?Zc(B$a*ICjvBtZ
zk4_ffH|+x7<HI9X=Xd{>sVR^)I~QRfVQ%Ek;)Q|wSR$w`?L(<PSo$b~GpHhQzbuj-
z7+bHk2As$5cK?hR&wbs}>D8Iik)3DLdkdJ>P}L;n@!<=2u;|w%;r#~m$~S@Tx@{(a
zx@^gG`=Ky2Mx0{-+^F!oK$wY}$lL-k<Khp&PrWiQFwo>M$<#K?l2^X{4E1919vU?T
zPS&7h64=B;E#Ji)Y&7B8kmv61Ge8}R@wj&EqZKzEPLR3J^)?4E{VCHP=DLC63)?$6
z+jZ9^Y%%t{tuTnV25)?*@prcgy4lGPE#UvobCJt6PJ9mn=!L<J1Ho}|Dfm9EdvcK>
z33Ldls{quMsS<+BU0g4Liw^`BB_@hhf4G8yP=qW%po*Oh#MXVb90wuU5|gYy5#-(A
z1c>i@*2c>!J-Q<H-t@1@XbN)CrK*M)lAva9F_>?2xK46qt>_C%R2Li`9FPT~S>g6-
zW6zT))alZF=vV{85x^#zM^dAq+!@;+(RsC~R>@I!%|{9go9Is}4H$A-QwJ?I!zP8W
zgyD&a>nJ!wpfNEpm<8$<EW%}wGH)ZA&g-{ln-W(Ee}NnyWpLbb8T5^ayFW;RAwv_f
z(*RfgHYYr4@#_#;j)@MH4`)1xFybId2v6LCXtH~AKC2M;zl0eYc@SzQoo<K_54Z3#
zO0~b>;NrrkKiJ<74GZH*?6%aKbV!2One<|A6g&IlLpD3XQkE$<jR}l)d$b{#2Q-ID
z8wWb@Bq~6V>Z^~~i;REXU;k@Gqu*V=3EDPmJIZ7>?B;BZJh1B3D-1uY>`4V*2A$g4
zTDY(OOAY{(2q?^m`W<Z+1XR<YJxZF{jeY=gq2PN3s2AWjGBTJ#6y65V%nTB&6E=T}
zB#}?AAjc6LzpRx`D23+BL3?{DIiH6DUAT>{()T^Pk<3{kK0ZD!E`-|Y19P*MMuq(i
zzhTbAy|Z2_K6?Xu`yJWN5wJfpB=NONPd8Ot5KU?|Cmp}ZR3=@lHWtxtVn&jc#`NjH
z-+P}qZ#7_1AY0g2c&CpsDAN)~apM(s`hI>Fv$F<pd;=WB%gN~|G)%-`Phk#t5(?lV
zTwT{O(=D---b40_-|Sn?zd^0Nw5FF;0Ot<eESF!@dL1GL>c<a2V}khI59d9lva>+G
z6^v!ryhW%wi*G2fjmWaasuBih(qS|C^F5TU8tdnXwDMV*ZG26Kk-~lNB0~dmU1ep8
z9}iy6k^RW42h<Rtaj7ot3|rkA`e;&_P3oOWNy%Daa<@Ns&5em5<~e1flKSwoW<Ry9
z(!0Ids$tb_tk2h!ovW?5$iN+_aeIxurn$aG@b|`6jQKQ<$OT)CHWMKZr4Zj!{u)!Q
zt?-{fHfp0{^skg**uL*Tv5e$40s@>QOE0NxZDWJP>maIHdCj6<d_7?9;tNgAccc5t
zgcB1J7r)rgn^*^ZJK`-bA@ptJl|r-#f`uzT!MXYx4rDOb$_u~uZ#YHcuSo3w-h?x!
zsj7BNO%>xU>5f;hZ_$q^&rDYhv1hbJJ`StN=ofj}M;ZeczK_m@=NF_qv8EP`&VNUm
zq*&N~fg3^F=6A??H4bX*(Vy4y%N98qN}PLAUeqb$yrq>xn4U)r6x06jD3)A1<2^&Z
zd3kr-*a@2l7YWcXNCe@4XCN%z`LTg;Maps;;O*2H+x17rkH?=Ru11*ArkCOl^-NaC
zcovOW!{+I24@DQVHy?-W$X2Qmu1$C<=r2H(?R@GWr7W@+-|G$cJ`Cs~ACVuRRjrsQ
zIAf5zAO2@Wg9+VBNW_Zh-zZTJXomU2bc&3ms&w^0IuED)1#lF*<Q5nQ<U>Z$8bEM(
ze-8jR#PE>F)ulUzRR=LQ`S|gpbb1ls76?r3cT(ZE4n-RWJ+h)`{=8j0P%N~Pv#%z6
zu-Z?Kv*>(JiCchPgaGgQW~wL`7rRVC#ET|8rkpR$!|Kf~pPy_jY6{-!Ib8I7bjOc_
zBx$E3Y+g;BG+#gasN(;)02IAM%>!S9R4F=s?pu__ldv)H|GbKCrYSuA|Iqc`;av7_
z{P3qzQL>ZDh-74h$foSQvbXHL_ios6+u0#x?=3_TLb5m6d#|kLy!8DY$M1QL<MG#h
zSGcb0^S<8i^E_W`W$$&LmXa6#j%;zymz*CD9A&L8>*V%dyM7%iyuIeW+-v{s0gMv~
z+g$5Ok^pt2M8+$%n7fST4Aon$BwY$ze<w!Im)qOfvK517LdnZ{B9PP`gr*HMX1b1T
z01wGP0txTX*(s1aVdI3;+6rP!wx}mzE)OI6R}|rh!-4AizY5u9U~C1v52q0%9uas(
zi2oHr2_1L*lW7WuS(C^Pff$HEauk{Dia)+J>9H;|=0lJTbnG|>n<9NF5}N}G9g<d4
zYioX(FM^wd4HQeDvbY-fzs9WT_KmAgJZsq;o=;)=qbcSpmEymh<`B7wUR_nD!R{(R
z(-9xVg~AE<d-(g~8q;ky6w0fxoynoy%*jtLz(9=fW`}ykqgm|N$vs8RCi07G1&fRW
zcWK#P#~5z$@JBu{R3j9Y@6QlmVAT`r$xwLsjY*1Tw>TAqWrKqYtlHR56Yfx7>$X_q
zeaQI>kKXt1-^E1}#@H(kkD<!n=o#F#G2O;7wB%LIjOwbB__GTJe+S@GpariWBq@7C
zGeap}17Q{3Kz_e4W`etIt7^goM@rX|t=7AK!&SC3hgkNY=L5C86IYT`!&rm&xvbYV
zzIX(Zv0kh-@o!QN1tx?C05vxy@`vn)-qP?r=!X&dt(?Sp_xTaO)m{@~Muw2gZKfJw
zP+R`1=VIGSl?56*%H$_|;{JwO++pF|mWm3cw)pkQ*hBT9(I-XH5*QiJeVV3+w~JUW
zD;M-Q7}wDXuC`?~khB6b?~$^iTM9YZ{XLAi&kkZf<Q*kEq}`Y^7Ut#;>-*E^T)g?T
z%ps@D!lXXjE{%Ou;tN8iIW)c$^?Q0+PtILEJ+8t;WS{kFSCkOL-Nz1(uEovoTRh`#
z?mu3fowa&r^DUeE0aw}<si!4Yr6e(r3sXYp<>x?*2Ad6G`JW3run#^#y8f*!<TwT{
z3Y>8cJ;J?pBS6C!q}2jl2fztbnBxGCpf;Ct3%itNsauHi>^U$_d-+czEk}_a;Jo$x
zkZe611}unk5m3(mcAuYg14mB_c8;6($uG{mzn|cK4T)niDy~Ld?lwc|j$G!D4wb+A
z>XO`zZ>c|rq#ky&UTQ46i?X39wunh7lT%Yt0&bw08e#f9(!!6C&1;jG!TPB;LR1L8
z$F(l)9D)A?566#wsnQtky8CL&MjldJ(eb|&wB^C&)`RrXYC;vK4&I*0$3%8h0FYW|
zo?@et6p8#Up=>gf|31PheXaQ-(?Z>5^$c;Vf|DHKl){9=6_UPCJ_ReFN%#eI{yD<5
zUR_$^gy%E<bP}vBP#k7UyWqQsYW(`<I(7F<jkzFXK+RKb<Il57P2GRr0#s)d3hYc(
zTFG=^yn)o0K<)(2E8hRWU5D4j^ycz@GiVyu$MGm%TtUSY`)qMVInxND%e4<-$$qtQ
zFB*-y4g)*X$F##s0o@A;n<X)Z@OB@o>f*(R_uulJu|Sz|=glx-lFe}%`K>Ip{wVQ)
zktY;L!hxzW;EXu9a?8ItvSW}fL0ZoJa(K3+&JnLf{YbAxL7W{y5*}Evv-+6-5HSc+
z+SL@iR_V}Wi@;#8Bjci6zyPtEbAkBaBTW#}XC17K9su`r8$3G6TK>k@_7jKIcz#jH
zMm2(Zd`!x#<YfW%AJeM0Uf|pxpJ_|XKEPx16I7BIkvaD$E;e%3Ld@n13u1}8H`9QZ
zB-qD5isI3{jan8NvE#|?w5^jGb`jj+j6yxv3cKP%xh&nBK-&s4dZ^$x|5zzVzkpz<
z*L^b8pD^;N$~dKhcFNo`P_U)Sq><kA(`%Zx0pbZnp}V`g!*`S%*42JWd4zvwzt*Me
zF8B4MH1JotVfT(YRyQxOw84Yz2b%#{J`S=az5^);aDrvBT1yU?5fbhtU65kxi;l54
zT6yu^s-zf&@L-`ZUFfV^$&LaY?sYY8Og50AAT)-mkigEFuMS)sZ{iUCTi|a~qks?~
zkUCZ2`V>>JC)V`gSlm+P)sH4>NyVHp#^R;FrQY;LJ!(BgGap^biN7=@YA)$8lCxYc
zz##P{cZPu>^68_(K}mFZRx<KL`i>|Cc0D5?JbehlL;1Ar?Aw3O=d~Jn*}Zw6klzW5
zOBgVIIhwK@yS3Wu+4s6tzj7H`wBUTR6Z%=1_do@xM4V~@z>K<-X%#zF5l^P`)fQ|Q
zWr3^>09%%KCuB?T!DJ5z`2==wTi_Rm3J^(;^dBSPp4%p1U`9>BTre!8cYK_;(Dvd}
zOzj<ow7<>GBJGJk#T95%4HPHlUQXD*T9SQtZkq>wPwx2?96VB8Gnai&^2W%KqdDh8
zN?wI1mah?B+SYR;B~F<$MK|nkJ=B>P838>i_2fH*He)@anRzdZ0CCc@B?dnuJ=-`t
z%unk_=275P@qD>}=8U$sFZwpW*!a%DAu5Ro3{k+QAj37u+C+YHJUW#>5#PnT`a^Kx
zs{$))YqH7GH5Yn~3QUxUsOY5IN<M}lwC9(7kX+5xfKi2Ykg_M&4<A`pj*FlVgS03-
z=2wcHOtZgUeC8$KTEP8N$HR;whVAIZ$AT5n_O%P#28WAk*rGx`|3=HezJUlH+rh`%
zk51#Bi~H6${rO0c-e*fwUU$dul(?h70`IqTl?ic1-+p3B$aR6#{{~m~j!%2(-+)3i
z$IZ34B0u|P@pGkFwo#*d@rA0`qsbi*p?*^C1b`!0)wkVj&JZ%E6#XIU>XD6`^Y~I%
zx3mejzYOQw|A68rOc8FwnU|9@!-1G&5C?w`Ew5{0EvQ+}0r@8sWT2Y43FTNfwB8CR
z7<FRvY&L?v`YOtM-`M+^(>6G{t^-nzY}rVd8k8Ckd^bh<Bw7ObE@*t6DkI1Ke`fg>
z#f<>;AVE68j5Q`er?B56l=10h@^$7mkQ&Zw(yE)~i%8^wK!ro&NQffK!2MslLlrtR
zyW=V{TFk*lVMFH0IHx)iUBJRgo5e7H;#D|E2Lgc(-{(FG>Ws1X-?LfCbBRYZO>ag;
zD&P-Q<gd6<;<c%bJB}*v)VBBqSUXD6!z(sFCrt|dsgqnoo#trf^2A5QI~=`sL-CJu
zYhn+T!OT&%+LbiP4#3z3>KCX7=uJ<&wt{8B*A{xWjrDafdIIWJL&M~nyfb8UA;s5B
z_xUuo_lHg+&@Fp_g%OZ$p}&Tcl$CXsqYIpdSqE;Mfg2T!0s(~n2_%^G9uu$=wj71d
z<@+mKluR|>W|rRN4XWvNfxj4IZ$#B!?9M&$K0@}*p;+k9wLqzM@-5)vp~x5qrE!Gf
z?>=iW-e45?_(;{%#NDI*J~uaaD+zUvi9@^RM^ORVP6HM&w;d<PL_xPZb`^Y_AX1Pg
z8CX@#*X-82Tw85jlKBTtf5Mnqt;E3ON3RL19o6&l>!|0;`$9axmZ|b0?HmIKrhQPy
z@xW{Wyp|NKt*t@NM2S}oRntbzN&z4^o=t5qwM9IZp=5%{tRlEt@PFba4Fk{H{z_2f
z9D1vfhAn{X!VBp6h_Vb6^DyEEN2{{(axk4=2e(YH$RaQgx4B2Pxjqm8fT-3W^@;!9
z*Xv}B)19~fb%>q#&TK$4&LZBs!6jAxst*DC(8+nccWbtyenaO%8zc}v`X++H&QCC|
zhIT2_geW(%%>e3n@y{{9b*o0|Z9){n9<~BbZDzId3motSiSNwJ$;muYt6Uqa>l#Sw
zRnpKH1v{WW`;pv_{q&IajsRGnjSJv9KTFP0t9;_eFz+K%xojOj4<aOQD5VWq?kXu|
z(G#Jg5O)+?9%oKvP&L=n1l1I5fIt_@9#Z}?h!{etf^aD?<a*L?@Xmoz$Fl^4u>`b6
z9@3OZk=Tpw{(W`iP?QXB^cpD{e-A{4JWBvjNI&-aWnTjp&dw88sz|VFFt=VZA(>a}
z;QeqzPz?j?jx#0}o_IuP4S)5p1<W$y`Ug>;MVW~HEN05742kGFQiMZxQ|or-*Ok3L
zt(0%)`vF8lj5&}p3+NP~Zu1y2Q-*5wOPLAC<fWC=-NNItH*k2s(eEmX4@7b)KU{v%
zwpXmdY(z;(Z?cx&QB^{^Nf9HPQ3n`UVS5L6ku!`>e(cLi&UBm|AR9JS^(-jpDuEZ5
zvpS{P@o+H;uX9uJcBXcN1u*Yk#vEow0l<=3?dh?<e&aYN{_7pH(ctexQA#VVfS?&|
z=vBvH&Ovj9l1NQM69Hj9OKe~oN3*HN+h2jq9cW0k09Ci6c~e_Sok3efq?vsOGJoR(
zFG5I~??a3*VM-BeI1D=*EYtCdHN=<|2&-y~sGhb^g^|h0!uskCbB%1H=7k~Da}3&@
zS4NZEcTvd;3xy;%k^7NxETP}wDeUtIVmuOZJi*D3$|Sy&J=*ymsx+Wd$yZjk*pX*1
zceTH4pUp}2usm)=!Qo+HN6YOT=GmAl^J79w-n(2bxNl`|3IFg_u}Qqq^PEZ%7X92y
z=)OgoGpe;u1|!>mF!Za<Fb3lU<SK<L0CF6ApKqLBIJq>>U$XxLA!IJ#LyB0MpCP>j
z7|~9fu(~b&f^r{pUm-~0ag&6E>ni*j*qUrt88ccM{oMu8GjIj*EpnYFxzmXulq0nK
z+r>@saRQF<ad<p-JQ;JLsh+D@4khPk`-yl^I_$};ebxY&=qfpteJ>%O6g>??x5Z1v
zyBbkw)xFRRTLQlJSbhg@wLo&Pu{3IV-IO1%)fRkZ5%RF@Hub#*m2jT;oE2~@<W0sA
zpnjtUZ?n-hC|C|<&t_%kS(7<;_6of{p^yNAnV77sEX<QYnFEBt3Ydpmx3h_%OUvae
z!}_w-BI%fD{ZTPjnO9>-8}vFu4cYk|D5q_PSUaWWOTrbpO*k2CV%C^qI(_>XzJCJY
zmOy~zXiyq@;_ax+MeQ*>nmcCUX60O*zRvec<v-N?BDs3aM~bsoH{OUZ1p=WnO=CI?
zUmXXR>+&cj^F(e;v-JZL69Lj@VRhB3=U;9__U){%Ka0TuWj@}#02rXZXxqj~DM+TP
z%MB77QCfq{kX;X>TvqTOq3<~IDC#j;tdK_6yX!Z@5n~86t#KJ^)PwE6QMrFrTW~pE
zR?@fHQW0c0A9S<FYu|g_Hu#Jc1JyDZ2|-*C!fsY>S52>KT|z&DoA)3$u8&dqXU<6V
zXG5X=&-glU^AT}|ms6yufXiTW%EYBr-KiM1yCY45Y78G?ydVU;52wsdPrrh4&>|xx
zwPL;Jbm~}Ht$Dj~OY^tIGsC3-vK-oXwET9#X#gTe)u~#%)j!)lBp=mdnIjS#xB5al
zS^-Q6^YZxdLoKCf&oLi*EWgtlQ3Hz<OV*v5UWFdr2a`3F{nR$|Lo2Mea8*ClosyE5
z`Go$~-WD4J*Cgll#9mz-F14zLT!)w>J4OBBV*88pDik&j$U_%dH|!aU4>jl#!-7sT
zV*0hN)u1D<N}$ZJO;?FpFCj;0LJ748SCY|e2g_Vc>Z>$U^eDVhy~jc4Z+e8eyfc7|
zgLe5sC8BOrYEnOs`}04SBDSgq-V@RV%)84U4b}2+FkJuY*9%sJcPpjqKhd_9kRGQC
zq9{laUHrt-fp*3{c_i}yrwWSh+rn|9J~&)=4^O>R>sg+-P|23wf1AB^nSA!sa-9!c
zb!wy<V{EVE_=ZwU=HK+QcuF(AumL<82I)P~@9eBE7rV2lb)xe{Xx}~T_dRg?0`Ppu
zNp?x;{F|OG=W8+b>{SLu|FOKKyW;D^y_V9wprjQ2Z9byUXNHMbpX$nWo;uRqezlfs
zz&pSUj;)eM)n>LwT}IKepS*d;DmLDGrx;*Vmr|)IBpVFK5l#jMv(QJ5l^6!sP7tN`
zif|AUqNR3WJdBtmb*^hG@~rnM^-z+Oyy^b-$Q5asQZXbl@Y2^zf{oCRhQ?5>Bf;uH
zcq#W8zuWf*2=brUSPid=amwfTtDa{8TR&WT0MKEbddM~Ut6qRFpb|8l+mz1^cyU!}
zX>U>)RCpiPO~MQ<{fDq{tGO=SN1@B5h(2-(HB@V&W=Kd4RWd`vGUDFHa=dl>W$3}n
zHUm8OALI@tadV`HO1a9HP~8{S_b|05K}UnohF0lQGbH77^@@-QITL2@@UZI-TZxT2
zt!bAO%cr6GMR_f@yFa6SpQFgcE{6Di4q9M-Ky5;7E=#&6=_mRiXCj`KeY>2d`yT3B
z5t@YWP0b1TA)mU3Ai)+AAELzT4b}YgT+m)lVK)Ck@hPu|>J$5MU}b#Ol^YZmiMFK9
z|L=C5e>B2d_6@$(6L<$9yZrIJavgCL=!*o|=>JWbzf_z=X%yGk0GrfILmrG+M+owt
z;BYy*@+1SR*XW8boag*?EkZbN!I{>CmFu(|Im-p~Edbh$iL0r-MgHIh&MsPWPXeI1
zRzQf9^k5>gFg2Za^^#fdD1An*$nJ^4^szr2AV8s$18|`C2CS43?fvf<_qTkeq!3pj
zk+H1;Lo4e3zHxf|!-k`ThPY7<94?G4p2>j$5E!vZr$=q`guPq2*eLVHES)oX_pVz@
zd@bSBo&`q{G*pZsuE4xORx-Dv_3-)_cQmir7e<2qfzPZihXcTu6$pC&-x?ESDDy8r
zV4d#~B?Cr91HghZ{%B{{`47L2wfO!L2lz)kf{^P5vc{5fgyd&k>$BZ3gUKedI+X@J
zDw+?m3suN8n7|elfv-AkiC^HHcr`pghh|eDoAur;Fwcp(b?prtC8FvpT_t&~Gd+r_
zrUBY7WZwqe0!QQiOFjY4Kb%zk@nYtJ_T)10V2%|i^lGC1`r<D1SV-rh_u}(a*rES%
z#K>6%drVmM3)Z{MwE}S~PiiIE--W-r{AnHI{x0an7-Q{;ulJE2{3x;s&oq6DGjPb;
zN|cvA)b~>UOM3bOl%HTe722JtsFbgqTT^h~FSUu&b9g>t_p{2c-{C)Pn3)v}OZGC}
znnhs@nc)P8dE}0cj1=h;$NO21!YyesCd~U|r&5XoP6}P6-j(A|U;huQ{Rj+|&C26*
zv`f8b_lh+4ZrscGl<Jx*@oTF9g35fK>#oj*hldNKHnKVk%?9yL7@#Y$S(P2$Fy^4T
z<@{Frrb`F0xmv{sl^6m7N0ZN^C3&#YSTI4X`0JNkh5~2e5q>T0+>dH?GRh`t@xGZ<
zyUaxTT(5R2G=S@dHx8&H#R~^(<tB+8wx3Gx{7MCwF48E>e^9N3g+X4a`cgT>$wQ~p
zeMEv(=@61&GgzQiQvj&|!;^mpD%W8$oUXlxSh2!b3or^ubOnY*34IELq9D>*Bv>26
z7`)TqbawP6n6oZ#<JP=n7?4Knzug+gX4%=={WY}DJnn+M9W)`Gv_u5k`#<d$6%
zvw6hUmv!g~$-Gatzy<_hhyE4EhRI2IjlbVk@qo@JREWYJkK$rBB9O)Er-uyexVY3G
zdp@?ltO%|QpR8J1Db>|m2LDqb$dIG4`MVPQ@(t;P4K|*Jc*h&zIm}KoBGzSmQPlHU
zsg%Q*MmEvhGSxa3Vyw!tvfaHswtKg<y%`7@k9nj8KBu|<wR4k}d=`}bu_z41R4>`Y
z2O}fEU2)#(tD{TPLJ{6+)T=f0q=UsOfqzY20z7?ow+S06dq(1ChOs-CpRrEL>1kAZ
zRMQ0YvT`TBLnfIU=Vu#WqtG5r2c-Z)e)<lLBzOY5EvEWsHf+Mf^#nkOQryhak{9r1
zU^N3Kh9H9t!+<Lz>GZ|Duq%OMao^<R6Z9qkKn>JL@7^5-%n(M|=ex4!eG5B);;wd|
zt#&7S{WTSqhd*bJ8A^5>P_sXLX6!E~5#}|ZNRtr;`CgN!<CAO&oo(q6lt=^wWE-%D
zKB;?G1{`=W=S4LlZpBE@Lu&Jji|s25GG<`~BY^Lo8&II%GTL6bawR(ajz)T1z=?cV
zmR+^QO0zcOs7CdrfI5n!`+goDggB!-+3hXWbS5IWxT7U*VPU!D<!c3Aim`2B%!=Bb
z9|>wPQ;TVyE}{v7<N(6GwcLJi5)LqpCzIKb9Dn=Y^9R31Mz}l+xg8{O6(7T|i#Q#9
z8X<@xlO%O~$-y-8!Xrf;I^jgtCpM!$is_GGEv>mv9w#5a{0olFCrc@3;G+#t$REH)
zT4a*PMAl&pwE=p9^>r$L4XXX!-7y$NL(@G|c$$Uy2%ofi*MXZ@GOYXJaXO%pL7Q3+
zyI#xhJ(x#B>i`yX$eM3GADC}nZRj{(@jfktzGAR*0&;g?N_hkr*F2<-!xn)0n6nHi
z<elD!{@x!-#c%~$!Rp@ai#Ft{yc0<8`LNf_jqID9@ej~JNdsfU-X$9j9?lIY4sg(q
z?&*sXx28tn6>+>ed?$Y+#LS~?BAL8`vQMq$8Ro;-4&Ra9du^fJ2seJDhviR(wSok+
zw~%Efysu492t@q+5px#LN4MK5zn3tac-xJb_xHpCh-sqslD$nZ%NGdMX0nnWS;>J5
z5zhX)9%@tov)j#$7m$g2toKoDamsIG(g7&~DyS(?j(<37LPijfI7Zqrap@yC=pqR!
zm!=SP%g|TIn<7K4L%79OIrU}VMxB%II*BK_Ka7t)Tfh)>{j#4u_`Ro`AEgw+hEQyc
zpRo()Kf*Uc=4y!Oq7<UG!7QG~c#Gn#(IY65>^LjQ@`7hL4pa^=i@Zasm@WDa1*Pa>
zX+af8VU^V7^H`PfF?MA7nu-70IswOD0cc6CE&DfK(uWz|)xcx>Ug4;fB3#VX%mnX}
zn0;$nOt_EAU2anBm}}eFZmu1RpIOQ7r}nfp=BqE<-lG-et-Hom6)Z8|t^z!XEpZN%
z$LWfWH~6x_#AJSbBzaz4YY;J<1}I`~$5px)^-;U<N+TdUtzEX>$|-Kk*$C>GrCFIh
zWA@M)h8x!7HA*paTY_)@gPs92ua-z+3SyNCi71FEgFOzdfQd3q23YSzOT1fkXV<-_
z-Fg`nJ-0&4Zjk@mk@x@5SAJ0^&2Yp?WkO8ey<3IpG(jQ(Gy5gC(R^|K$i-YPCdNgn
zZp%O6k_gm0qJ3m_l{?gtFZs~pts(t^NGW=uD!qcCD39vBlrL9Mf{DTm=^NNjfFZZ!
zaPK%Mm6O>u_Xq%O&d^f&l}6tycQkFjhBJ=Aj)T|`PESv_fwjBsYB!>U!S>pG^Zq`2
zX73Vm6Wb7Iw49UM1&W^PAaCtXJB(A<ZZ1uM9wFtwFJW6p9tg%Y6o;M)o+3amzi~d1
zoFP%3t`@e^Sv9e$Xs-4CaqR*2k;jDR<3Qx&eJ4Q6>#!)7DyJJ?=>P2i&L-*i>CK_c
zBPOh@(lf5fm($~XYmzCa#F|7$XXw;(m(btJh0dV8U}7NDUB;ZSLn9hAKKt-F=LSm8
zHK-dC)7C)t3W`8DjweXwid9lmCi7m?t%Jj{0hUBfyf8yG=jvltGR>!P$ovg<<c96&
zLc}#klTjl^n3mUN^8vB8=oHW@0j{Zrz!nEB@8#^QdT6_oVFQ5ZTTl4k`Aw~#k!oFy
z#-(Z~qFh3zN6rrL<x~k->VX2OsN)Gs>t{m8`U$-rq2oEUSB@tb4o`avg^*M1mnNvE
zH5u9O-Rfl>$Jhs#=WInqr9IUKtwhp(se1NNZ7W7BNmuMb*0Q`DDi{kzN@A*X|F-0u
z@2<MNO7ku!nKUP{pNX5-w-g3C1uNxTFO@uBnEvrIXvT}L@yFgQ9XiGGk0eWG%Obwb
zfiKl)xtWy<211O^3ps^<d2f)Djb1B^dnFxxm(2c?>G&{Y=RrU;vG=zMOXnM&@v`}F
zq(52S`wJNU2|!xbGhtyV?qsF^nEC31d+-(@Ob29uiL3@NSpxT%aUgWt@AA!mr^g4I
zA_uLMlCu+{gBM9OL8Y}<1r`t0V)`wf3AgSKzdVt-_2Jq|+)Ua-<aFVRfPpm!hl$$2
zG}YQi6v2($gw9N~TJGL-V)M4V+gmCSNQ-^L;u||9lcQFzBArrimx-znTe{SnrwqP0
zl9dASkJx_76zYO)tP4*;j#>Tyufhn`cBcQiNo$E=>FE){o|9<0yxphU`@MEILq@SW
zieGx96_Gft5<C3Gxb`N3GW)8m4&V5_HjG3JRFr_$&ikl{zFH8DcdbpH0TCGq(%TZn
zBIeLlBWz}ZPoMX<63l;ZXGeg?-alV}>pqBKNYfT@5FTn#1pNVU05Q8o0v?bO31H$#
zgqoy}ak6?={Ie3KA)p7HC^hZ|nE67ZB(`8NR)vd#qRHs)J%Pol>h31j)?~XV)MjY9
zJRp}&-pENjADu=6<<-Y^^dqxy1EpE1QN5LTR)tmhy$tedt^sXsk}li4q{7S_>hbEF
z;{@n*fvI$FE+wn<tEZoympU(O*(&dyH8yl}9ZMOtafwG(n8s()K6pT2(xHGOBp2jk
z@p#HkiJ)h2&(3ptFN-2r`|9qyKYQAFg>+Yi2;T+2roWs)pY}YKzD#<QzLPJ`6L3QA
z2L5E0w+16rk*uZ>-N%JpoW{vVU3J<^Kfx`{LzZV)R!At3X0ae*&a0szGgAZyEvywE
z^V-93w%TKDI@?ED`}Cspxg+VcVS4=F{~sF@LwKjIcS%u%CcEmS;P3-u3r$9qSQ@7a
zCMHz@1QZmyib%*i?blmHDkeW=6&!HzP0STc{k5pR-unm2D3X`0U5~$3fZxC1&qj@>
zt@?yMaG2!YIMvICxiTD4_fH-Cn_md|CzmC=3Qy1;4Yl%#2whlN0}cK471-{bK$Wu~
zdbu%=!=~Znf%|m8kH-#gBA$X_i70`7US(x$hEDD-_5j+kRz)7o;xpPi+d|D>FLf<a
zKTXnk-DRt|9!!tDk&lUa<oPVJP<KBvhEb~qTxjrRIHn;1Lg%-QMAiPGu%wJ;$w>%!
z@jX#1p=@B{BgRruR^DD`lizvB+dMbke7pItYo@+54FUM}(7A~)<Dma%@953?d0Ag&
z3Y+RRr!*vW^w!?I7y3AYvVU+eHa1qW-Z7|(@nK?iTUNEi;9!40<g7{`OF2R+1(19{
z6k0$KJe9f9NdssW$^NJT-JU!RnYDq^Ls^m%@2D?}uYY)$(`XjqiNLAMAMVl+BLrS(
za8gT>jZtdr=*S8^soQMoo9tnIY}d60dK3Wty*XJ}O5FCAk@_H3)2<C_T=4zBaH{}P
zj_CTA18re>2?+@+u-I98PlTd^sP7jzc4-DSb&V~`NlI5=;G-pUIyo@nK!DQ+b^_rx
zqf)E{yxngt4#S51<g|XtprqP;%_06vFqy`+%B6+QjR#IJvjgG+7isWRg>VC^$ZAba
zeW@73u-2Dj0|z`=y+;#cXE6#oeU`EqJRPQXlxh(_Yg`VpLCpSm&_A85duQ(A3vr(#
z7yli8e93hsztRh6c4y-oUV}qJL!c-%oVs{35eW)TcMUkCA+u!24{-dKPXTr^aH{Kv
zj05O1z`X5h4Q>_SW6OXp0B<M|VOwVaV5}*C@BsD5Uoi;X8YE69T@cGsJ9%1ASC=?b
zg)or8!<Iu}!|ipD)Ko`%JJQ}mqcjsIHIFn;;FQ}EW?QWZVOTCS1o7%`Q9BY`Nfql<
z?Io)YT*eRV_m5ATg^t&{gom+L9gT%}pHXYn|K2ztTOxwxN(kXzfBymlhyY_hSuCzK
ze2YurC<XP5nL1EinXYH|@?3eO8nu36d6e@Xv==nAv~g~;>F=8LLTCK^Wmm%LWp*c?
zcr2Jz3l(H%)Bdq={g96Kg5!5EJ5p35X7wOda))=tzIx0bf-;etL24YmEAFr@z{q{$
z6o4>LIzd<o+3`>-;^qM~B%@gp=P?lS$kqWT6@nRnU{gH01~>y!0D1t77*f#U3|nXG
z%of6bglD)>f6R!h1@W)FXGYY)`XMA<eJ{Wc!W$YS4~RK!)qFcsg#@GmIs^H{AMD<i
zX2MVb5(fi7WVAV?AJ*x_!9)#y9bv7#OJ#aQfbsO2LRMohq|W1@sl~u!4`QT#`eML0
zZe-tC(@#0RgX`8CTtgw-=T0=QP59T}f;F9D5}1~A2tZN{u()6@o}oi<RclrnufsyY
zO5W7FzH4m4chg4krVEQ?Gg;NB)dvAlZ)q8I6%CD*og<@%C&dK9fnbwoF~BM<9x-NB
zIl0lQz~^)KX-0_>WNmt%?W6#24x(?Pq17;8fp9EnR6q~&Mu`<wtZH$7cIpQto!|l(
zsDD3sk<6TxiV;FfoI(M@9C?D3n0?$Ef&||mNya$b5Kx!@y~eQN%v#`3tqGbJfqe*)
zV|r0jpy51C%~21g3MM9Ea@x5Lm|NQ)e>w)g=7`7_H@@QjH#b(<VU#jD;Pr&dfsH=>
z(>m)PcecN+Ds&lWvaArvyj6644+yl|7tw7?5=AQLH&{Y|)(9s4l;TdcU((WEDZjpi
zihp(4I=i5t9$4&IUL-z8l=t34qg7O~_9%W?fn_N?Jh7lw#E-yV(z!;UIDj!Ah>|)$
zKLo6}Om!BX#djJ3WTHk-D0%2ntr;4y>I8!WZi)3d@YW=r17$4{5hU09>EVP^io@VO
zFK_jiag{;oFc6rSD-CU3E9pUoAH;6Q*ILv)F&L{!D&Bh*{`=9~aUe|w2e0q7mY7H4
z5?CQz+wIjO3p@RNeLqhKV55SD5P0b!%;Lw?oGKa}+s)HVW|NnHQV<hgWjb}x+E`mN
z%pWx`6)!9R^L%pBn+Crp99Y(|_ml_kz8?BjP4{OHUp{f+uU5gs_(pu(R$GX-936+%
zLbcK;eY9)NV>}`h9q_WWVw&UoD|47!cm#|ug^Rt-(4o62v|1wZt)nE*s7i5Q$;sd`
zFL$JbE0s#-@+%43P)bP)D-A(GLGbFL>W0Q}!PUQ6UO|C{&bSoddoU>x_wFFiAohsW
zJ@~9{O+`X1&RsJ66i%C<UgJwfH_!G_nE)rUV>TDg)zydy1*M5e3?#?|`QZ|i1{|L(
z>8iC)V}7Top)utld$0V5(g_U1)8)95)|Zx2f9BpkOZ~{*wG$HHAh;OzE-g@He?0@Z
zNpC#gXtavDCta^7=T4H*D(vg4R~^yEXG<V@ZydX^nyXLMT`dC(Acm3_2R-CT6<c%3
zFi_BP$6d<D`bljZcZl`BW!HR`-2P~%@NBzM+g~35z|#Aajj!2y-jX*A8iKwT9Fi0?
zbp9S6Q<L0j)Qo8}`26L2R<_V5(|h_-eU3d$dD=QW@%x7?PFd7RH(LA-{M*^2ds!_X
zWANxBowNe2bT1H5If%6j@6e6GHkb+Scqth=H?Lp6ynYZCLU=Wui=&a~yMw2R$>)-i
zk}3QAy?qMrsp~MB2Gu|$cy}lf-Mwbmsh(`_dO87ZdCmSF>#LAQk!=oKmZt(XTuA_O
z|C+M~Hy6WRotrf^Iag{qx#Y4($X_a#N85XENF?74{{EPbF3W`x#B#=I7|o51K6}``
ztfKsAK3iB8|2-5D8n}Ba@#yUCYFZ{<IC+2&<r0^5d`NM&Vg!uVU{@T_dUHkkJ>At8
zpFe+w>C^XyTkz?;lOEi2;9>}lpNuA&)R+$YcF>S4mgrT4Hc=B<aQ8L+vhvMtaFZWp
zm6q<sGkX{5JkZxiTpe!%gcGPCVmsvL8|(iD*gFDp55@>zo%(5mBE%>yh;ujBI*m7k
zzTtAtCF<Q^<c$9@#}bG6cnS40D3EFs>_me1uoF6;{Ut|*7<Xov6I)aN0a%vf&kxEH
zI|u2AK(SwJ6f6N!U|y&lGxtYZQmG#xIL}t)+SKc1iJh!cp^{eKbdTGQZ#6T8zyn`$
z(}7RrX1i~Dp<RJ42B-KhVeQHmf?229Qrw`7FNXEuJ!?GOk|hswkJp^sX$ZK6db4N}
zI@gCwTg9wwM_7Dy1@PFK3Gm_?T3$}9ulHw~64rI3NMw8%VF<|lY211+BBb=`lKI>e
z?v48>EXy>E6C?^vkO$4DCsAfWY^Hr^zmlisG5YHV=rtCDrFVx}18LT=BP{F<pN6RR
z&9Mc7tzb{T;laja;l|LiN_0^~mrhe|w%3cX!TR)+A1iw!Yx|~d#>hQjwH6ER+l3Ur
zo}7U(uFGLm>S3;o#(<?aKbcX;3Mpgnt)7J)lGGa<A;mzhz2C-Q_$b^?hjMb=KJ!Gv
zZgR@p(=!V!RJJ;%9JLlWT5z9!p!qdKpR^zy8JKDMDuJ}o;_Fd2s<-<uU#Pg9R0VkY
zlnxVh)0Ifi9i0W)jLa2h2jv;yMdUY>DVUnv@NfS9<-bhRY()tpBaYa+JI!BB7c;8q
z%PWP_d$JoI!V0=77Gnqm?|$VX6?U{v97^$fNnciK_*htePa<C_GFjjqCf!Qwem$qw
zk1pNRnrDVI<hs*d|05RdY6GnveiRm6LZ=bSU4I6Z`S&49cB8#7WPh@DzHY#ANxtLq
z1~;Sc_tuxpHp4P_nLgY{ePH<Pc8lp0?ZszE>SPUBuOMNTciMVQ5fJF0Zd<J+{>-qt
ztdRQ;ZQ$EGw9nk3m@{1(+7MGxf|k5@$>Hq5T~OZbxwVc>L99#&b6BQbUgNBfY{%Yc
zB6uI5*DJv-9YH!(?Rc_u$5zPbfj09|-B%Z%0EiM95NsI&lG(3cIQpxN$@U9oU}S*h
z|2Qx3zKF-+mn#!VxxANT9Ub?=xqarJU-A$wnYzKB@|1Jz+>L4{d`ruzc6{BktL4a7
zXn+B`t?4@9Z|scNS%<LZHI8r7t|%KJ>7Da?AU}bD2fR)orU40=slNWqt~Qx&0T}N?
z(hhIhhrTic_u%Q>#rR|gcb8@xT8YU&*II7o=?ROAi)(3(e<<T24Bp$_{g6Kz7(ktA
zulZU&%{HTTCObc$L~Ffk#FvUC@<uq(Lkg|Iu&HCPw*N5r`0?X?+N@nnYvwC&yqqHf
zaKqaUzq;sB&fVe3n%iiC=&|n*z3ZC)Ey)J0R47V5B{a)Z%_(Sbg@Kk<K8mH6^^v$;
z?YJn{r2)qzmO@FHblpOlMTh@%&|%-Os$9S`YSA2H{`pRmMEkg?(VTOfEm58IgL>4Q
ztd(lrVZb$Pl)s$8<#Vvu_JXt=5HX+jrkq7tuWoGcua)&e)Sy0Z9gIxRj-kmwhI*`T
zF_^9cHrCS80!BQv3}DwaQ>Dph-0wNf(PdQ`8x;kP$IQd-EOD#r>qhyblKmEP9pag7
z9E`L9rwkgAbYW|&tC~E^8oeVmnPdj%buG3>%<$&PK^OT_UcP70*-UnJ?@aXv<APM=
zOU2qYm#_BfkR`gud;h)2%vP23sHVzrQX%I?mQc2{!G=$aSRSkm(Snf^mo%CP`|?bF
zr6QGHVYkBhbt0Z_6(yymzqZ*wMlrnN;{Q92_(l{LBAX*AmXinjCoL^!NzawWueakG
z&jHLprerXVXRX<SIeljI7xypPD`joS&=dmW)jd5=S%q#eT?d88&JmSY*NuzDv3%{b
zyuzb+w<(GcSI16EN-p)vM+u?g(0lc}Vfn+8`9$-Sk=yIGr)G(oe&*6R+$g<JMn(pl
zh`NnQfGi48;%xkpteXf53OXTY0S!`=>zA4|{**5o2J(ei`x|#%JY5b$pvu-~)|fmi
zF3at^f7d&OKY8mv`|^&t$A_9J-FLA3-8p66HzfDpiOV!$`NP?}q;U_+AKS@@w6Vz+
zY>rxA6(gd+r>-iDg+I`cEIA>Emb=EY8gTrB^(jA24^STWK`iL*;&Pa1-vvreXJk~2
zSo`$iK5jh8qLBcwE#8gKy?f>^U58=Kh{mf&kB-p53!ri|Y4)9V!qYqt-9mTeC_f7<
zGtI#CDJYgQf6Uo2sFi$U1vwRrBZEfg+@*UJ34{sRvho{y%o%Gbg5$x#(lm79y0Z``
zBA$!8TY>#eaISv3htq>)<(_!-CgT|n{t_7HLaJ>@RHg!LGm}fQGnlnEkd?2X0v5pn
zXMJ_GZZR!*Ug0u72ZxvtWKJB#02d7=T41~bGJITl8iEU8Dp1zr58{YZhIXR}N7cBk
zX1B>Wx5hCk0IJY&A}oJr<1mupVm7(}FQwwAy$=}4C79b<?j_JYer!?ERBjJ9q^p3X
z?5Q>A*z%#gxbA^?pAx*pJ5TpT@3q<jWl)gQk><=y-S%+YR*e-iGT3-*tIXd%NnJ_F
zaZ%bSf-)NV`PkTQsYWJhO1wZwUFkHs)m)UriT38jNnfI#Fx4hhkO3m+;z*XEkORz{
z7dGe-N~KWLBp$q^5EFxYo1Ruys7{Ha_2hXQ7l^AFwMHI^4_iDNov`~@Zu_WvM=3h`
zgBL`_aQw~_?76k`v2>+|97p!4hf_`S^yk9Djpc}^K@ov<Iw+k@^l2NS;~_l-B7NmJ
zk$tL%6v<m^j0qVQv!BE`h?Cpa$mM2PNa-ZOzVnFCT>cawmu&{GhLo00!pn{1ss~L<
z^_xlM#7}T~4igTZCFIxFd$mP8$}sPyQS(%v>MQT>@26AFdw$WXTtQ$<wSLPSZQa+r
zS>id2pk!#q;K3bU+lLhhA$G9?+KbrUtYwR@<KyE2u6p3^-&RuMe5B;s)0j5zNvE=I
zX|}4VP0FBeT?D5tG?J#S(ctHvz|EmG2n=*;^w*t6rJ0efRY&s)oT0Vw1V!0F`R4_J
zS)X%qN=DZJfrPjT$do|HJ{+O7FePc#B#)Cio4U@=0csd%dPdjy02oDF9n{O8&?AbG
zW?M~TV`^N_MM1LmRwqzW&$fQZtcL7706(Y+Za@(RmkSNO6`-rV+qm*QPd8y9q^Hk-
zCov~bAOb#@mX>B@ybF-wUMo8RKUEQ-8SJWSK5wA^CvJTtBtGNXM(oZp_Mbs|OEhVi
z@d-Y>Cuiw#;Y_gFrmkG}ecn)0<IYiARp-Ajp(Ae0Qb4Wnl{nYfHV7h>2~M_{^wR(z
zzXx2<Ow${$r<`hGYW7uP@vA&dv;>?POG>6~XW!FYA9zP$X49)1b#ro^PYl!T%hVa|
zkmrGC{K<F*0AK)XL<ew$LVkk=NV5=^e7HkMv(wvU>SaAY@IH?X;5(@9e($volXXC%
zNU&M~c1!6rLc)Cz`U+SE&FFl|$})y@Bj5=ktO4lME5Ldd=5L712_&DnIXM(*@L?my
zAP7B-E2$nxraRt)ut<u|!aI$CfBG9>)u4d(j*f)*c&Nn7ZD){>&O?No3;q&WXSA?S
zLzpP!Rm~s*yXF2|Uea!uXG;me0GH%cZFQ*lO@LfBp6(x)WH`PB>EaJ6Eb=?3<__#!
zL|6^%zZulh1gU<4L)WH^mVrSU&^5i*_4<+j*q8r<gH?&78N*v9GKqYlDY2JD+8%iQ
zAl70jyje%P<7XALMHwrWh<D@Ne^ftj540csHZg_WaL0%zIgdLd1B5qy*6kiZ7bWRs
zVPe`u_`(78d->LC=Bo9Z@17tLw+O|rg>n-n>{39EgIYn&I4Rn?4&;IGP(f0W2sr&O
z_4pcyt3zfVz&$2CUxwk-9wbpA-d7MC+ShJ|h)^In2=+P8`KKwaprj2z2-iT_b_XFI
zTnB>c%!G1V{S>yUn)ZW7np0f7g#ee}n=2p`pLyB<5_Lq!40w+RV0i<N_p)gK>;aTa
zDRf5L`*aU-M;j)Q$s$D!_}Pet9YNxxgitGB`2>P!s&Y`TKsjwSSIn*T=r}Q%ueP*x
zePn41dnj=%Xdc85aXLOoSe3s~=PkGP?l$q2ebIL3gZ{Pk+)*;xZt)eKxrM&|e%l#r
zdks`gZSBkKC~0?Babek)(yiN@6St?w`%}I6j@!ZIYIAeb;yOD1tF=HUx_3MFDg(ko
z!xp{|i895M`a#=Y^)L0a0q!=h1$K9QI9Fj+d&1mL1pBPh+DlLfe3vZGtk;m)JrK8H
zWQoKHFR;ge=ll77Wkdg7@gwR=i{Wk1jcxIqL&EIb!Y7CrhBbSM!VR`ygg()Htqv&7
zuwisBIUsiS%KI|lyMkm9AmAEYBMkh5k7-2cSbX_m3bs+bKq?;Lpe0KcDdd2V9l!;u
z0~?HKK}AHB)>HW$HC4nBs!``+>*~rm>0wcFB-q@VNW?pj=J@^bK_K-L5Gbs4!UGJI
z0rEDOdcf<IDtyPKy?ZMv1z+9aE1-LKo@mnt2{XDS_5NOR;319e@06sg(X7D4g<ag(
zOXZcVD|W1BK9Ja%LWZ&MvAT0U{w!^Zd)V!=Po;l7`zz0Foxi_h5qmT!;$YP=>CkA!
z%puDBUF{Yt@RkAJ2DI)SPzXxbZvkXZ1<s;1CO<zNz=~B;QDL7i2ix=poE~_uM~8+u
zYEFSqQo60SV&=aOA#^M)2!;q#N@gv1?3}nr(vkm{A9}aX8`{9KAsQ4=oA8~zju+oH
z@N5<eYc0TGg&g*Wjb+(He6E5W#P;?!^p#Rn=__2Vwpji%zl^`YBWdhuoU@y@s(nNn
z_Huqt?g7Q7e#c*q*~G!PkOZU0(eW`~dToT%8U*YWWLR%dhH=uidVWaQe~5>W*#YSU
zI0^h4n^yKh*Z-b?YY`N>yMTlvretO$ubj_M4{~$<hKG3=zy#w+54JMOH2pAMr<3nt
zobw;RqUOC7Vj3Cvxw_i*WD2NnUtkM^X{P^sR~Q=$_4V{H|K)rAo$DR!g$qS@IP+-7
zvGTIBs{vNK>4d~LAi-aXj95jDU|oqc%qS*NNW-MC8@`z$HdjKs6+UQR9Ta!#M$oiV
zEk2oy&>5ladkx{j9k-visneED`~O0buAVUA4Qm)yiG`FkbSH2wBQr*LJICUOD`GNr
zoW~v0{nh$sZYtXlPns}1Ci9eV(-syM_G(O36CMMiosr@8j3G;0v-WIJkfy-D^b8xO
zf%xS&mZuA@F=SUntDir3Ag(Z$M1+o6B=1jek~W|;Y*_H@&DSZ`b$rAQIE!x&N-;pd
zQlMJoyxQsk!_KUO?R{Xsn8Qxw`+N#k%st)~uH<apKfLul5=+2qZNXmO*vNV_hECM%
z_8koR-jI9~%G|=f2|h{4m(){p>GHJO+G<IiZL^y1NnYDu?%siEC!P%9HA%mT{NZ8z
z<t6N0=NRYpyy0lINJp-uUYC#0c}M|-<0pMDQV8%Rf?Vo0gV{d|$kYMhc64^uNSH3H
zS$=HJ>8UL!cm-EY^w)c4FFy|m2-uxqHq%#qpMKCnmPa)Q7)PK9#oT)4D+y-_R_SBd
z^Zo*z=}SWce`Fi+D&Yw5xA~)0;9!Oh6^V`w;ZVV*KAU&^)H2ImL;mfzcGuU=^-Ft9
zwqX7UGWahA6N-;->)Yna<Gj^nQdL%tDP&?7&NM|nELbzJFE1k|NP-~_9K=Axp94hZ
zf`Fl%df3z2pn>QTkgyvBIY6q3n$U50Z<vg(@Zfsxrjvm%SR=)CJ`QS}p6b7V(?iah
zt9j$1N|wO816XCUNL}Lsh&BR#{bX*HI`ov4*}^yhV8eN>d{D;VAs?R0#jRZZelh*{
z8IaDca2E@6R&scbwc7r3Q&9@xjcd$T`2B}0DxgAJsj-qC3rbsb;L1Ai_=a%p5!W+m
z=}zPY8Om|dIc&NExX=W6nu*pFAhfTU;C@hlSnVzM7lK10qBH>sp`QRb1z0VPLYNnw
zctoaY`t=m25mUq)4w03^Ziz@yAU=&e4H1Y!wwzEI*i)Vq+XyKFYBeyh4_0X*R+MS*
z@@d(3vO(t4$s#ylA|DpyKX-fc!J|cJ3J`;VIKL1cE!FwcSuM07N)|{BQO%%*qYFAY
z@@2w0C=$P4=WvG;3#zyPBx)5oWi9++G!1WN?B|@3o}Se2>^q4|WyZo^<=AK=OCxs(
zDn}7d#U<%;U74qt%_Cw6p(K>w?|lF%5cip1o>C{;ymq{If^?0A9&>avDJ7tofma4X
z)<)O%^+P$SVD1IFk+=9VP>_2AS<DMwo-n@a|E~h7x;l<|;P>xW@ka29Lp7iS!(y@{
zIG>QjbfGd>zT4Y&p)>Vh2x2`{<O@AaHPjJgp1blCH?F;b2gr<>URwGTFA%2(PN&v8
zpHuQEjHkeuZa|Z9!LAyytnplanbOpWV4x@zk#x))7(DGAxPuFDJ8K&yp4hf{s@&(Y
zGKY%vH|dgI+OF_gUu7>y$mFE*Js(@(I{@iAl<$Cnl}xcg0vo7Eyf1|3u;wP9e*~-p
z@y0+DqWO`1Er~KJT3Q#285Xt&=pBHTCM^UJV+gzm;N-1bF0BbTrAfgV16Vr1UDR0U
zMgSt^*l{awz#Nl3w%cF_N7A98unrwu$p=URw%;c;i)pZ^E32@L%is<H_<<r5$?-y5
zZkAsVCox^Q*x{HQLzso-F`NIR6pt~Ks%tJgoB$08gd`w71Y@A}`;_bg?}^1^{VBLO
zs6)t3lokU7PyXWq;0CSzptZZkM;eCT12@N>|MlXrHF`ALCMq4=)U5#}Cdor%5?Xd!
zq$mavWs=MS1}p^w0q&9@dLk1N<FEu|ya-=R&BzB1Qyn&TcH|Yle!q8MpaN>$p1D7h
z@Wa8bCnNyTBnT4Na>ql-tI=_AVI+9#e_2i+ixAct*cij(L->S&i>>@;TjbZk@fCWJ
zu8o622!(=D96%_tzrXyQHYPlqFsR3nAfematWc#ifD))qdjlAO@iJLi><>^h>J;IS
zA_MMp%S%ge{QK!ibr=GZ=Esj8z(=Jg>~-{1FSrOzW<spV-~o+P+Z#h95?FwUkahD-
zfMVRbW+@Zi%3Ijj5Qkk2ttNOWpS8()m4LdL`S$Ake-yz(xIM6k*?@$a9u7lT2%3;;
z_aVY(2Ng8*l{k$?0yJ}JG=0#^W?%HON=m-ZKQ49vKM4|8R~p64tW#T}g$U5mU=V-x
z#RtEtOUU!oZ3?1)H8?gV1w|RMEgC1<`oZ$Z%PYfLzi$oE&)=`3qx>P(R#eo#r=&C6
z{1O8-(%%=ar7#aq=*Ro%5jZPI@{j_L@RcQZV&?h)t8d)$e&wq)){<9BRFPmpM{D<Q
zuZ&YPxIFp$H_Kl=#DN;G7Z)2PH3CkP?_(@eH7f+f7bGR!9QzCB_RH567dTS7sXMkm
z6=bit$;x7vub~^iyu=V|{bZr4i^MuhxO#B<b9Q!ISLMY`p#0%S^M{3bU;m&%AS|BM
z`>gl#Ps7DG*9EIEc|RFlA9V_eiczN)mC~fdV^*)YYCqgF%#Di?(r@&Vd;AQ7sRJC@
zk%xg|S_?Ya@`P4Z%9<D@N4%noS(r(<x@Wrlu`{mCfXZDhm(TEd_xlYzqMhYsbp0g<
zfX$@$+b_OXF7Zg&6-zg@$1!O{L&%75wR|L)M$}p<A-1zAHX4(c|K9>Mx`yZCQ!R~y
zW~P~K|L#1-F`1vqC?fC6?ls%1?$XKBX-Cfc7nz-nJr)uT4Y!(IAc75%4nnA3R<9aZ
z@oj+H%p?Hor$}f~JMLwAp-fX5n-R!9#+4U{XtnUE{3gW7Z={eYLyh}L*wo{WK0UdZ
z(5wvyT>r(D(x`7;{S3G*ADndHIrC_e#f{feO>G!q)rx_86})<|U%U*$)&0tZsc&LJ
zLl~T$BO&zq0Z1glxk>O-JJ<ou*=4w<4$gm8;42#BeI$XK5NWMGcW_L7A11ltpKRxJ
zN1eh_#mO|q$cj1bUYo#t!0FiF$-kUoVLH2OU<)7SxvCF^7%m$4aomEJFsv05u%uWm
zr@Oek&?&rpkE^REM_>qD7H|Sb_ABRN@+)HU=R@<02P;>Bh6KV79ND~r0zzd{{BV+5
zt$N(yWW0<jN@wmdcM{T4TSG&`IfL&19#Vh--obJC?Odl?58UB`?Ygg9cVDbJRUMNs
z)|)E9xTeYdBEQ*39IopOC^5%S-7Y!RBKr$ye4_)-fc9kh^8+GxM2N{?;+S>sVdG_8
zq87M{^0ke_GEGB9eQCFZZ|{dzPxD9Ji6RY$*PQNn6m%Np!pj^n2ce7&U%s2M-d6^l
z+d>sA|Mw#KZ#@+3=V8*r(=Do;w`^%m?q-eaH3Qy+=4NI=sxkj+%a`&nUWTI!w+D7y
zUOM+DCLj?L>I1Rim?VmxCR|LYmo=qez#wAGy>{63RjQ^k)BEK8m^18{IHKnEX+RBf
z@}vg$ES}vDYt8sldlxLXh3=-oR)9R6xjD_$@$DH~Vi<y6@qNw;5%HyddSVd(J;DFt
zDs5e?7u_J>V!)b{5kkyH$y;FNMiC@L@%;;0<7>RI*6c4Cnr$K71*h>`22a6WD$_JV
z@ncRRNYIfFy%sVASnrju4d4E0c%|lXyx&(_TX|BmQD(7D;#QdI$?`A(<^PrA#cvXQ
zLxF#&_*i%&WAQo|lm&<p1Q$kLFR}r*a9`#GwW{s9=3n+g)tc)#7<J!SJK-S=RD5BK
z++NJ-r(sggc}%LcVlvA20}$ti0Ih!)&r}N=obl~)sGj-1eE>2QMSPzoSz}WR)`b0L
z0XEE#YYN=i7*f703`;-!G*1MVo41JbZ*Qz1h->tQ@fAfHQgGtvgWtE95Kw*@*B_w>
z3DjbwlLrr*ydyZ}Dbku{8t~<xC1mUqhNa$K-6OhJUI{>a_S+j5_f?wq18stfVjTz~
zD~pRX9J;XgLpJF~z#{ls(QtA2ylbA>ViFO2ws2VRiN?_NE6md@Dw?%hS*0od#Hkg<
zRtAkGymP;}swop?SP{UiHiCul@Zm$ap0nX@uL^Lw&IOJv(k~*aN8lmLK5ZE&&~k@L
zPDZB;wWDlmnq9R0A;4gzlDqR@d5F2?PsG^Trrb<B#=1zc(UMZVO|(m{C&kmFi)*$i
zn;v?5Fc8`UssrG!0JHZ%_X?QuYlHDfdwcsU{RBhsX_S_h7DD`V5M69Vv+ohep}_c|
z+hV-yX|LWQkGu?yQs{y*t43>s^en}&g%iyBDh4b&6pFX}zpvT5MRbzoWM>z*t6u!d
zMq&kzz(Xi0p%YpG>d`(-oHc~yMVw(G0Co2n6swPclw<c6b@Scmnw5zO(dH49Tz|iC
zn?ufAUf$1{EvZckkdUl7Wx1q|P8Z1k9{bGgaK*`3A<9r~|Hz}442jtS@`T>^?#2aZ
zL%@C(Q7%FF&zjQ{u;hct0-jwAd;7~qQ+gFlEs9EP(l3FXMN>y~hQlg7`o+Dn;*=yX
zPMZO2_7<u>Q7*XnTC0~EwBcoyHp=`<!{lg}ZYEy?L>#oKkhyv@(~B1M075CK6bjdM
zDa9d&cGxTHDQTE!z~?XT?y2B~cg*D!6ePDt|66l}(t?+<QKI)@7ce(xla|a-5K)SL
zfDSihRoU&Nd2#u2Jd~TLoft}S8f9cwgkrLmqV<JQGq9o#VYGJuf<lN}Dq7o><v-n3
z)V|o<;GYG_PLa7x`9f_6_N~(TtQS8Epd-0(j1$Dg0roYGm+LT3xOM9mmcPFGm5W*)
z8ny$dqYx{bkYXE-lg(yqgx%eHAOC;fAM*9iK^Zh!WI_(m-#-Kj{l(XZOE8pw{Q##&
zoH~j1e<dFZ^&A=1!#G)p0L&uU5K<QMMU(df?F{A#thl_8e%^Zz6ZMnKPw$gLHk>$Z
z23Srllo$U@N;6z|wH_#T{M$bsI)hpPi3&%?9@bJQCa~*<l&A!VM0e%x-huKvFE3;v
zxXu*);#=XjK1)~w(aHJQoX*)CbhoG9sQGN6*amh(;H&9eXcJvu2H>FP@r308woBg_
zddxEaTPa*@t}5!mtpXEZ#6V;40_$Q|mP@3-cagNTWa!>Oo_XrvZ~Z;`M)^=?(97rK
zKvp&}R<4Ah?cmbtYM-;kUaka3?DWL(=%7ozeJgj|{LKEwq|VEiPd$Avo-q9bxH|AX
zgBbTA=<aq!uArWVFh65qVd3ETY^q-0v$ChGs5rE?-=@s~W&t1tD0o*&8#=SS7GcWR
zMde&!8CIaGBrgxdy<MS;>nr*Xb}qzdSb4u5Ue4Ttnw-?suhTYC=DH}GZ_F()IMgpD
zI<N|UIcO+oOdN}wf!3N8uMB4qFptEwnBt@q+$H5YL%SvzF6%#v=aPz&$T;yj-~Dn?
z#`?U2?F_MOc$fwf6Lavd?#^N(MSb7|{H<733KBMH66}a-`hRd($(3MNSZ&N!0j-lP
zuR{360Be0x+*S9r%ol46X0Atl4=)yrs!vcJRk`=M7scN{cN#cgu{4H&Megi~#<GYZ
z@GzK_3yiMhydn~TnRDOO{J?{zrDONC8R~_9uM7noPXN;gnv`^yUz%DBm&v--Y_pVO
zskonfN8z@aHQ<SnHJP1857P*ATz>O0Nc2^e1my2stc&Nu)SJdhj)b^h;B>!Oc*I(R
zfj_JWlb^)iN^-XrKlyfa>Sd<MX<@%SHgvA>`}GGLU~AgUTs-HG9Pr7pk2^&6E+Hr{
z(Ca6BP`XB{lEcGa2TJXUA3hs?I!c1&Ke;g&uk2V=haql6EGl%Z^;XBer_2*`O*J*O
zKzju3gO~H=?2{!3iWDVvH2}^J)Zr~)<7V@lyD`yzac=#tJjI_p=14p&e^0)Y5eKQP
z=H5U1m2Q{wNxf6XzsD;pDJx&Q?3>*Jv=|hsNba`UyL#w?0}RxV$u02aAlQqJjt*Nn
z-|c@jy{I4LjBpUEy$ETmz++>t3AWWt>3s2?&XaG_;7P}h2kh+>;Y3?*Pvb&N<4b62
zGz;Wt-ZoQRTx%wL{`DCdhP%yRq&@sf1;w-iO~t|EPF_oHJ7O}$+u_VDs>)GrmR)%d
zIFq{4uq{9a3;|GX=@(m(>J)rn$XH|P{S}l^^5|MYLBT|~?VJ43>y}u7%x^d%XFl6z
z0OXdN+Z=9<+z?7M3<?9VUodu?LHVdn9~?u6STqTWZzZKU*NHhB&?-Yr)G7(`Z>K&h
z7{C^~12=fnzqyp;-}Xm*t;-(xw8+<oEB`hAZ)^K`313S<M_yj<RR4l#_4M3^;vdoK
z-#<l#u=JpL>FPHA^*4=AC;Q(IXvF+ra@o6sp;Gm{XxQTa`r|1g{Zf)<d7uIOf9RI~
zep=DT)PRdigjp=H4;tyeKh?#04wrlJ#dKY&EMS}n@dSqrd1u7DaBqJ<G$h1^_|8S&
zh7fMUJZ2vvW@-~O7oP>NTC2pVH-Syt4vsUM`=i!jrePxKAi75W2pNEZ>Ean;B?z<5
zOj@yjzsTpEm7U}wyX6QnAoAGnvekqcr@p>Eu<Ky1-fF9StYQ779R3afDBbus|2sic
zKU0M_0x)%IpK_d-lXC&HB13zqLV)56D+ZXUR^Hy;0D8h^?f{!BZg@@(xYv(|l5mGA
zPW}7csGBe$IYh>H)tWLfb1*^Qgnb<Gnv;}}5W(I&K1GxP=P)B5^FBX~pagpoWSi+F
zfq??@)hNK)gI1rPkKhtiX<*ZFUI*+-Y~Djqn$-ZB5wHlvSqp3Hlve@&z5&J5gLVd>
z8+96ts*te~{#|e2)heo}ETsH99Z;y3%<yjj4WmqhQJNwFwPKYv!FTx2sDLw=%@C3h
z|L;esQpGodMiQq7xXV0Sk|_?q#f9E-0aftg>m_>+8sEM5c=AwNe|w?@V<&Hl|NWKJ
zcOm@$hpF#?ruzT?zeFg7$jU6?A|uL9By#Obk}YMA>^%~)71!S55{2wNO2|$~$mk<G
zBYXQlufD%?{?6x|J}0+(-}g12&&Tued^~n#uS&~;)y04Dm6n50hQ0dfe+$a5AKn&X
zq>V$i$kej4fHD35zk2iff2+0GI#EqwuO3&5b#rs`e+e=l;(MpbHGD{hU&r+|+*nhD
z{_o|8i+GCj|63%pej&Zhc0a5C27_C{zn@pQVFB$1(P-oU{Y`VGk}VkyPi9b(U{b}R
zfpa=7Qa5gZM*sI*#8jLUev=@D+dJKkLB_=X&wm()L$h9-68kOXt~uaJIi9_mLZta{
zyvi;;i?h&r<3%pPtqX-9()8<j!koH2E&<NP1LV}t{Yz(?yqp}6>P*7t+~d10p9_Q!
z{P-7Y!ewO|4~KR(`q*w=xOS34t~?+nCRSO%N84L|iQzWGxx|zd=T%y-Oi_=xq9q7b
z7}|SW65xIL=U875ArkDA2B1eti9M#!T9DF-Ju!v-IY}n6<~BJo%ytxAals<!s#PxW
zEvDsMqP@L*uHB7wW>jEP#&MGe8al14-uN=ffbfRa7GV#w@~gUqhCT&*PEkYacBX7m
zcMv@W!QnFcYw&s9L=WKHo=t}SmZvvs^nGq?R2aHqMI%N2`&^xeRn--Bfbb0RtL*lj
ztu32j!|uQ!!OIPM65}6cgbcmfnaV`%U9P@a+w&@0Q<=pd5SsogLL!%25P!!l{w0Y=
zZfTYCs;TQ{Hts_ZMvEV~E+LEzfME>O=U2NjmJ3WRsg;);<din9M~Cf{JMclowoseK
zY)306!DN<|tGOAG_{=QpP5!*ivt$sI?QRUI0XN_QA?HU)f7^Bq##7lRx=qUjnQ;MF
zx76uZiIu(D-+6lu^(rAFYT>3$O^WYlA*hWf+G$b+f*Vz+z4hUclWJ%%>xl%xfKbR6
zs&h|QWo17reFU$c5`1Ppc&FwZ7ThE}0>21~g>9#g1}%y3`Go>RI;1ay9|)Z{j5JZ=
zCkuZeBdgAK)gb1aYcfOed4HCS(|xMMc)BuXnw3^RmfnwSkO~S8eor~;R`L9}gAU*B
zoL1yHLLh5^#7}wIlo@BcV(?$670lv-RKGnUD1$WDU+ua{K@!?v#8><ysk$P1)2Cp;
zNsLgMJbK07@k?cOx`52FJ268$D21|%jgLI+T41goV13FE+1MF-SPSA$y1!two4x$u
zWHvJR>(QY6Q|I78u!)J;FVTDD5d`lAR)rn(_-XYN^6Ki^XVaf_+N{3Q?kMKIaU=D`
zm${<S(wlh$?%@tau4XUGnoyDZGY^`F8ord}`C#2mIjKG|lEWA!P-|Z%LGTv?=_|gg
zHIJdFs8*?ZjEW3XI_-G-k!ufXng^8IdcMuY#>PTne0H<uhPdJ2p@4p`!)HZgRl=H(
z{Sp@!_n+-g8+%5-L~MaJ0%tGxHM4L06{S70gP#j86J*xcOVE<`y7<B8@vHuu6DXRN
zo4;wC`=fVrc=R}WrITNJ&iU~J@uX^J-gs_?i&5_9pkPG9x3au!6Pea=l_%X7RjLUA
z3J|QXteQmra)*wbcz7mse(6sRU|K)|RyD?j<DMb-Z=4<q!l#WlWEU?M(TjFHVCH1u
z>j2w9=<g-$%G{7J1S1&(gESPjb4bxGt!iC$P$iv8AsWI;YkAy}v_XA3{}0FmAiD%U
z7m(tTa&cA?%(t(|AB#$dX31u&-&dzKiDq*LQK-IG$+)ZZdCuv+uX-Q&vy8E|9w2{E
zV1};givH$rRQgtBBh)u^0Qxc&xD78(*g3uUl{8&lT_u?8C{A)Q7Z;1D{)RuY9=nPZ
zn7O^31^}B>?p+pmakG#N?po$&1xS}EYV~!R;*I4m@jJr5Qx+9O4hkyoAI~m24t@XL
zYx^2r%^&rP0Zw8+k`TG<LTks$Qa<3IiA0uO_E!2v84^&mMC2)kds8ah<02AXE3x1E
z?4(+Hm$^^qQM5oVXJ>dj?vg!E2!jCc0?woaZ6aD9;zQ0-&;<#UN#hnKK5k(mjARI;
zSzgYOX2LQ@$+CrV^5Twr`E&pNp?%%BEL;2Gbe)?%2F;W<XCIBbxfn!G4-$4Zs&j?E
zheh|fKbLztiJJxY7LBsIc<|HycK0fQtEl;nf2<F@obpN47%;cACl?AmMS9}-e_F(l
zsyjdEkB)6iy!a}+zTT_S1Tad!JyKltu~{}YE-o~Sb2}BwvH5-1^s425-!HuZMVePF
zr)(;}Yv)d1#s)!JdS5&W%Y`}DmcY|xTcsPFGZKk|1ZSlnp#?v$mW}$;mWnb)+`Y`h
zqy6W9$s|9K(OLNJvzL_z0Aa#;Pm83g@Yup{{oK#s-o2YLDHmcTkn{HfiFl@{yn+H$
z+{|NAQg|OD9o!c1+q;Y7VMi7&o>v+aGW>?oG>HFP9UrCm?wi@*@G#&lBasxiSEF!?
zq&cOX7AIm~(3r88ow(-HmZ&BEsDEj`c=XO;)*upu1;VGRM<Q@Juo0KqXJ{#zt%qx;
z<0+}<ZN`;e9D7_OuINW`-M7#zFb8}bj@$c2i~rsl#z1Gp^cFeRUgHmge1UIHtPP}>
zWfb)An&xt8+_G~_%e9bwin9D@aIbf!9sVBCt&f{Sqh3ma7r`QBYw<}#y&JooxYMuZ
z!u>z+=Dn~bm4A*_Y53+u|JXG^E?fNfU5p_zk<9u((iRY)1hkr;G;Iz#0-)E1bsOH2
zpB}ep5;p1$`1&>~weN1pUwCBdM3Y`Ic2zoU4l)7jKvysT{nu?%UfQFjsPSZZYRU*=
zMQFYn{{e3?HU9#)C}$<4$sq;kIa<=$5x`ojZM7;rp1!4^vTJ?xO!?1d>3V6l%WaUo
zgThTkY5Y)gu+AmH>k$L3Rh0KCe`Sn#0!`tg(er<+DjWawsmT04W>_Q*x_Vfhn0or&
zZ)^zB)ip3M(9*gcR>FvnqmNca+|HwMwrJdaq4l^&OfZR~A2bRZ1tCG={O<ramZzib
zrLLp1xaFZJkAh~WqNOZO7!xCY0HirQ^P!^~Fhnc)TFy{dGN-4e!_R8R#a#A8CCj8-
zkLgvj)zyCe1-<8=!xKuhNzX69KJ@$dwol4Na4iiEgf0AlSOtNKg_t4h$3g4RW?A{#
zrxpje3Lwz>JUCj)My$EV-g`z9dOE9?I=hug9sITMx)0BnP=|Xf1Vb~em5t4~WW7oA
zz#Z)hN%|iq>u2qVi?r{1y{%$<+`3wmk(p^sZ`jXIdiADzgHbVZ{*?2JINj72X_=Tn
zcJW@?cxsn{N*&RAxqJN4&-6njXXnLypFU-y4vWQLl!m!=HumayY5vSSM4nb6{L+`<
z2@sLgfUQ%Q_;!vZ_f6agf3U%}b1*sD(L^5=HU9q2Wq{Q}bh+gfX}Q00w;#fNST!aY
zQH<N1jx?tS&Y5ouLeo9vp5|UO)7ou}#y~N0fhPrG2E#?xC8zC2{X~v#2hZ~{Yk=Vi
zr5oWA9YK<J>+nZ#FnBy({g2i@(6l9l){Oj35zR!gK{<$V=GXQ8fNhrGWObZ?G_Oa7
z2oxtc-#(wmr&De|syGQl*31xyTXufI!P6q@R2{!<MD0G}Rlbi34i&+yd<CCRZ|{bN
z_B53|3qROtxD#oVaXTrA{#A>B$Mf6C6)Kf5DG&a@Y*N#o9zC+M4DEYI$KE9CZSQPm
zZitHBs*M*8xa+j=WJVSYyO#NE%0{4*sDKm270WdsWsz#M>Lj*-tTm<uAr7Ds8on_&
zWhxjLL<+%!8T~rV>7L((`;UwlOFOWgQ%BQKBx0gfm(dlQ%5io;@u%(1n+H=jpjB*Y
zv$1Fi5;ib@jP-o%icNU>Jc%<`U-{+IrI63SR{{$;8CKi{piX#tkmA8wt*srM7pi9M
z&E35j8EmN-meiAYPP9Av+5Td#Ns^mS?oyMBvvWhCM4tPlkwqpAi4SMehkx6Q(+Mn>
zZvB8j*GvQlsU=)KT|yJU^S-VST{uRq^ho~FLCBZBhnLhL&S~_j;i0+n;phvL)bceu
z%efOrRc;s5rXlkeY8xi>FMtM&I>ur$5jUywtf%9+3NA$N-}BItg3PC;Wq#2T&I;;d
zqU!jKj;E!uHob(`to3ZX+LCLUA6T8tc0Rp+x{3l3r(aClp9PGwvVS350F(Rj0ZHgt
z=wgLC!Mi;L8{XhPg?;7j8+Vu2=nd;ZTHN!m{@XweP~M;jd2II4Kwt^xTE_%_XEcEW
zQW4KL!7l_B?%4C-;T!>df6KB60?|m|yq8_Nf_rEF)5n(QOYWg2CeWfctKH#=jZQmb
zH5(H1-<_Sb>&mkWK#YqPx?Od8*^uClT12EJi0$!*&+hJj_fDp><L{qxexuYFq6-51
zaBrH5--XvCu%3=>q$NW;L<w!v_O747F;l6Bis0jd3otpN+6Bk@akJWedf@XD{f??I
z3D5k4yHP&{oF1wq142-axccU+P{f=&^j~c3!J@HlztsbZ5^b~^4`T(`yKeSnm%`WV
zc09cu?tFQA6XL9bg38h!q9pVn)nn*TgmMyrbV7%bkn$BeIt45`*J51)R_~b?h>M=d
z1_cEdNl8CX+e1tbn<>5vkfhruwj=Nje&b>lKhX}Hp%8&IIRR^Y*D@5(>yEQ#m4Ex+
z3zBRXP*JLNC6ydb5vc={C9tCrylpQD%`@QbFi~pdWYQ9fy?pty2S)Q4f%wM-fU1)q
zWlKHWfKcW)^Zrt6d&%A(7+p8)3X0#p<%CFj83BV5NsOBo{`T<ja8fcdfIQo1f$t2<
zLN`1<_M0>|Ym&Ytc<`>~#&wrJ#y$Ct;H<8o(9!+*`@q14t?sKhL8qbe?RQ}}Pi(D-
zD1a~a(_v9axvbRnmYKQe%aSw8S)ZH6YLf-PfDTIe@7v%&doFt#B#5>M^#B}onhPbD
zTB7LlLS*EMf^UVD3RXQa?{;IS9qDZR-jFQWzah`D7A~MX0BW=M?di>Cl?VPTEsc#-
z$}21d+0Gg&J|xw@HEFXnB~p}=L(pES+W+<I>)3{Op#rt~!%Ek)SFM*mj4hu|n!#zH
z=_m*4vEWi*?8(cxayy0Y-5c!Z-xF`{)_xz+O*I%4okiA)-%m;GF)e%rp6y0PEU~D^
zWjj!mZNPOuSSS=gm}yL#wC}T>W|q{Q^g6128g#c7iz{AVzeFOJlW!vR^y;@;1N;eD
zoJqOA<N(S2m-rdksy%dm`ZVXEn?OZ%3)Pla9lP0+*g{KRcG_Z!GL`W+bVodL;eT@<
z&RM&;RTmc*w|XU#)Gl<tQSkcyF=FlAB{Sfo!qJ741C3wTO6LT*Uk3Vu@ISjp$H>M`
ze6zwdqd%avU{+%PY%cTdNyT?2t2FJW_Lq?8`){JX8QX8aX0dc_=McU#$5Q?ALdpR>
z3z;-I2Od6~G&vieH2zb!wU~5#Hunf-zUV2j;r8*u-OnN&730y`44*G?s56AVw|}&3
zabd?;W5_x>nll8$xp0z}<O!DU1xbjl)h#lVg7YFFnhQbfk2r&~vbAF-#aV_n(2Xuv
zqC2~mnIk|q2wm{jJm<T%V%cbi37!N+I7(SisNKG@s%q}nJ=ab3*EXDLh`R(8+h<o-
ze2J}A`?|Z~COUc??y?mtCix*;HtNz>#j9(dKM^sMz5?f`8$pyBr=O8UVgJb?iZN>O
z$C)0y``XXFG?PcVk%W-Sk9w{~TJMi|P&J(Kd-Cmu&B5ML-C>K)vKz_KM(BUOGOA>(
z**XXDUUGiKtkB|%`eJbsppH_PBW4vTCj-S4U6Oy_Mxv_}t(KFi^4V;*VJS7IMp8uH
z7CT_kw~@2(D)D<qyyqEDM8UXi)9;(${^Ra~5>`1GE1)Zv5D(PoG&B%P<uz=w)X9@L
zC!iF8z7*EFCQSnBGgX(4-S2@*h$#>NB7g3`sk)LIB|jSXOo2)8;ivalEYrEJYtfb}
zGOO&SzrKUqE2}K>y7lUyICm;{>Otd4G<Ug;ICYphiZnSeO(Y3rr>!)=87VAI1DEBN
zhyFl5-2lF-Z0lM8`FKWcYnJ+2v1bHM1tzc=0orw6lUZX?k{+913TXTfKmNVxhQ*F^
zKbq;&j=O)wu;}fW<8NvNZIC)wEYNq0hdn>(_ffJwwYKIV_U|0Ou55M{gMJ_rlB<F0
z*t#-Y1Z<v2jirgl;Uys<B#5^^^}ji@V>MwMNt(NVZbCPH*UmLr_-tN||E&trmM?P~
zjzp`Ix)<uMC0}*XChe2x@)7Y6Jk+VhFflSZGnk1moJEXP9=u2~rVSvU9nG6a3=*5!
zuhCQnUvyyJYx8_xaKfOw&JV5sp+Z2r3h4aubl>5F$}%LiWh16#bU~~LH552<muQ#s
zEIAin1l5;XPTFP=bgUf|!8u14YH<_eBfy@w^Qh+5j{GMlEX7x~yvAGdwotV!DG@+f
zK-aB1rSgFFSgwAHx#>%#=^u}+ir-SDJaVWjTB4++1jU)UadiG?+OYO%+S+t+<$+UW
z<x4W0*bnoJFv@j^lTqB~)`Mlp=qUYMeU>eE1SN}6Y5o*<_IO{rW_TbeLa7U^EcU#P
z7e*EU8+IhKeOP(ttn??ndvDCcQ%qMc&~F{imG1yQwby<ICmvxRDJ-k{iPm%bK5jmB
z@lMxhye2sTG)TDay^=0kx$sBf8iZX5=j$$HCmyA2AOHTHW07PQJ_*4N)W#*eir43F
z|B0(!P|p~=CEY)-RUH_H6GT$Hcv9jITPqseB<s4QHi;}(zPg-b@E=b6$jw@}J!(<9
zCJ44m+gD~Cz!y)WE?*@tTaOTtlnW@zlajYf`+L3!oWxkBV<4Uc{BfQ&;5FJZY5R%y
za4fpVl=AInXdOqN$Gtk!Yr~cm5YMMC9aq|@Dk(v){2XGfyLx=bdvYfh=mKMv-UgDt
zv6yk&;T`X`1Y=sr4C)4OVx04d{C@HvN1KL0gKDiovApCQ0zBEkDM-RDOr*C4gZ?aW
ze+IewshVGM#SuAk9&?vcCXKFEJhH5zVY$}!1f+`~9#2#Xa%2kJ#C)6cwnF?E9|z|m
zw9kIc{`88$l&zf@7PESg;@Fm8k;Jzhi}MdyB|crdsmc7Lj~+de?9=rd`?N+CBlI;S
zyU*DU#Qx_-Z$$m4OPD9S`s!^cZ(T5xDX7-{YI$|pSy!7WN<0AH`9?!3z3$;8Cl&zR
zTAoCuix)3$`+Bis2SMtgZoH^jUb^6h4H;E`O2GFBqNOSrp7Vj9YJB6m-fO)BF-&>K
zDFh4sRW+{I56pNtHDa#AGazF%|MPuu@yVB?M``n$K~*_)2tTxu6M7?RH{vCjPm6fw
z?U=tx*<(lGskN(e%Xr72Jt!)c8ds&fc0b@VZ?!Rj=gKdSl$?Hr@qtD&@~{Nf0oo0o
zZ{KZ2R>7Y}@azO^6rdHQ{VneOtTPxxhRCRXR}mAdtWY@#)$r9Xv@pcLPn{M~JpT}h
zi9SbcPEY7p)7PV<tSo7<mWH`WjE}__)Bf<q9XfSqPuJ>P_K@Y4ha`n#9i>(O>)Qwx
zf=`-b0!*4(oa09<>3!(}@=55V2W$`Ig_9P1sK(6(%Va;uirM$3L(~HPQuoKVgIo_*
z74Jzl+GACi88LBV-&Nu+fDF2tkx=Qz81tv?gScncFZCI8gH`W+??2(izVskPhER3>
znYp|t&unIySW;3FwyPH3)7uO1d)UUqVj5Kci4AK|E0=3Lt;vkTo^~Us27#n~p_XEP
z%MxhqK~8=%(QD`(ti1pO%72R?%B4<Uy{h4pt(3<qWgJcJSm|}fc2Q4(LvTlmSn=G@
zW#+ot;v_EimMWnzyg^bz-WC)I)8>fW-VZDw)O{)^q@H{~oAhKS<GHWvd{MuO0xK4S
z`NlGg$ek6w6S>@$M%V0_MiayuwUaZGF0o`rznyK|Zr{7tqK8V^fJKZ&4J`+ueD=q(
zFzX(ynYF72J*I-mJ=>~)9fARXh_4~?dH_BPh5}_|+IxdKjAk<#CoZgi`}7zTV^$v)
zqu5Z9<bJ|i-n^q4qMyzN8|lJ@kG%&QSC|#MXiC!1&9ws5368(NgK>t<*j(A>H4NIA
z78SwGwNDhGQXqeE`+OH7BY^-<CYUpp<$>@GlMlm7FjEFKj9U$lOrP&tu*ddhZ@bxf
z%X_rjW6%;9`RpBHR<_O7b(vc+9h+y|diS6a<G;hBW||kSyC?UNSUPKapZmyXkH6QA
z;FJG<i)PyX$wr9BR!eq4mMvM#$x_XVC_lf^<G30dk2InvlM`);+d@K4ahNTdyTq9o
z^p-`M6rK#e<e;a_2Hr)f$$nbhA8D4{lRN25&CHFmDF)IRROB7Rtajd;7ZJv^ynLF0
zA`SO4G3S`1$U+A#D*`>cj9Cu)#X*@?mQ%7do~8i0;}KD?;q?7Z54R2DBzC74HI;)c
zF=n@h)2>yKwzy4<or;vu1sRunf<XUc`eEm~agT<TTHC?gJ7D9qu_xGAXOZ;Pq`NF&
z2Jde9brq`Xp$NQBw-6#Dca{??j&LHm<+coLAv*KS*g667L6sC=m5<k{By-%>U!KEH
zKe{8HdXfCn?tj0r{))(tJ4Y<U22)jV&XRkS8J#|z7eHY(ZH09Ql4*-?`&L>sCI@xt
zP!<wQz9q>^wLWb@8>oEwC?-Y*2F<}`)u`>Mw&TZRt!6h9MR&fZE~~gYTwoI*JEy~8
zyl7E(n~j7c`eyRhPDd<$PsK0$vBNy0a4Z`6ZSc=HYgPGCqGPm9RM6a)LM3*`xW3(7
za59z<e^}!vMXE9qU`8KOw7^W_f45U(efgSy*gXBe+kdNf@Z9drAETrDuRy7Ca=&nL
zzw=S!lO%T5-_XI}yRQgZq1lG}SVMYR+7C9Krlzw|C%aMNslD8fc_5?=`?gRHQrlO;
z3Jo)V<@LXxWxMn)#&NOXNy+ZHSsxoPQDI={E?cd;rn@|X+HiCo6%3o0T9NSDobS(;
z%l_Lf4t5>`Lbo^)wQJ%G63SeH7(7^5ly1vQ{1-4dol;kHMc?|i0~<fwl#k`&A&2U-
zSWP}S^EZN9M_7gJdJ0{kQh``uO$o4O`sNI`H=0PIJJ?K=2IvM<4#flfY(K338SFQs
z>nq@KI|#doy9>WuDLZrG>bv9WyUyY3u)WlD1bxh)BczFfsw<pBmKFOnzJF;Z_j+BS
zF^)OK`<wv$tFmhWN-8P^L?^AQyRofN_q#PP1I;-v1mta>m5n?paqG8QlURi_Db1%z
zu;Lr@5PL*3_sY6<Rq46W?LJWU%*(6OKouJ_ptO9A?d*!5c>Sobiuh}3aS%r5s<~Y+
z=TkvpP3f9|uju@0IW@Cvr$w05#K9rj=0gUfrcOFLarYbDkf;Aa&k5hg$Rta^>.
z*3W1xy<5sFF3XI&bOJUu+p|twv0|gs&HSYJcad-MY(B}0Z>uI<fjvUppgfU)xD(TH
z2=;^j;rt45N?kbKR1>ruO3wU;D?c}Fh&N?p_TM$_zneU0m^2B8lK#;;csGLA)VfvE
zwiQlccC#}s0&ZU_{o%a4JP?Q1I&oidK(GY-u&-0&tWWyAruFU?pVaoN?WhYnV6yuB
zlT%ogJCuk_TLkro!4>}9(348iAXl5q8}d~fb!G3BH<qn_&PU%>4SbnvJDITx#+zvk
zLM(vbb<N0Szp*~4Vj(7Gt+at5e0p<_x4d|%Yi=XOQRWN!S?dRBh0DvO@n(6jI6$te
zKMa_k7>8At7L&<nh=mn+sKreJ3E^tql=C#f-^E!>;^^<$CymgaH^6rcsH7n4XPna6
zBv|1^MJg#NdCiGWCZ?ty&G{bB!74x5g_68iN!NYiOxMdMpezMHoTT@V*j$TZ7MsSt
z4GF|l$Ut8HEBm}}wUYA}(y%4~S`^WrC`MF$3uy`S94XM}rY{sC3EEOAWhsKxK0Go~
zCvHnGEC&O=d9G}_$4JnUq70D*GdTv1bF+Yb@WzXa9ZN>{%|TU3D0S3ca!uBk*+4ka
zxFoS=0iD0u8GkyVXMq6b>jG||T}_AQ5r?yO$Fu#@Ks7uV9d6tP0ka)u5VRA3&@3~|
zB~v^LxG2!-ncWC2M$cLmk$89C49vyg#T;3sAuT=lo<JD(tw#Lt3!{&0wdpc-@vX+!
zeRJu;9`f=KdzZ2C@wc&aaIhvxRqft=PJ#%hKqMq4gY>Zbui0Q+(3?DSgLDeVhx1I!
zvlzw64>O75)S|tizZItdwyQ%8ezEg2gwh{sY5>$YP@bLpa-&Tf5Vjcybq-N_+J1s+
z6LX_GC!BQ}p+&K6vAhVDf}e85e$O7muGD%*7eo;eY=+a{c~TPGr-ob6;uD_`KJM;x
zIBzD^?XtwQw6lHyTWJ_p*VgXigl3PJt12sbt#Mganlf_8TxfLJMU&e$$&`nBY<#?-
zOA1ptXSVchE#&JR`(wN8L<%xH1!T6mOZwoLae?=tOEhf+4<g0B>N`K_nqO^P@QzB_
zvm!?QY|JGYHB`DN(S&`9N**Nv9(J(wy^~l3uxS*V#O|T;F&?p4I^3vS|4V&#ZOelZ
zp;CCGd&U8=mP03l+jG80!@fr{!?+O%_nI`+)!pzu8L(fGq#Zl_6zN4CS>Z8#<w$))
zI`@~^;)YeUb(0}){DqdU;z-ZD-xroQi&_2Km?8(7A7C}ietuBKq8(FpUAM<le~gx_
zICPh7xu74ER8<WxyTqdVHv*yN+Bc`Vowa0kfrn2s``XM%J~VE;c!9?=;e*%br3Lu~
zaYG@D<()+%r^QOSa-3OPO8PS+J~;J;{T+|NXjRq!<RfLIl-hLVc~pt5wej@bvuwXw
zF>H6Glnv)d+WEfEx=JyblS1AZ_^8RFc>7I1im0RVo5%&yhE#Tc?~jM0kaW@wzwVj=
z0qO55tyOa4-y)w#h!u&3fT%ThL;A(XyV)nZvRs6r2u_rOyGud8xgMC~%+Efj4H~j^
zKJLvT4<$kqD-hT0#2nNr;N2y*-@Xo)tjs*)4)xiR{_iMF7FVUgHxCBNHL`c0(QE@J
zy8PqhF9d!#?NUDLMBFMccXi!~nert_lyh||Yf2w4BTM;pVabSPrtdKkp`Fp{ykgET
zi-z5{HaXt-GMj_kgNGEvXeloNR<`6mFp4Uh)2EbSXJ`NYl59n&u~=B}>MR#~f*pD?
zWwS9SSm)iHP5qDeC~RspP}D1h{BpD=kBSYJC&5V0?6~(T8Fn?a{niHRdB>Sj&HUbO
zY4#XVu?>dPFQLHu2;mF;QZO;u^0@03q~Paj6@+})Q8`lVVr~w1lz%JYI&eXe_c-eO
z`SZAV@vBw8_3am2uDkvH)=tQ0XPEjwF8?s)9s06;#w{zj;ntJE4d?9-^7L}Ue(kBt
z=K}o!Da&nrQbO~fK9oKW>pBo2cW?Wm=kS%>e#!=-o#6(ic$qEAS*&Ie<tWKGxTo1?
zCFr4met<<AL^0RZU^-p*AV^GAF~P+(a3fah;T=K)P|0_DW7<2b%BH5K2qQ<wft@20
z?>|~vT8Ioi-lm^70TR;BU?C15zxrK6i9u2Y*%SS(v5|iM;?}F+to~{dPseWaXWJD+
zS`J+*Ng+z%9<v-<aTBP?pC^lhgBY7JzIs~a0nl%TAFs(rD2t?7kzSY}T4JP%g*5a2
z6Zg!du9>WapU(PN%<nwmcQkrPKZ8{ayE{xcn9k@I-R37_zN49bOF-anz3^Us`aW_%
zNOTTIi}m?42wkwG2&oN0DM#LSkiI)nWQi_Ehnj#_UGTv53wQ_uLPTK<zfNM3`Z(>0
zv|t6E0Pn3{%JG%mTH$I(RWB!=lBK}JT#LtXxfasou)kCRSi6fNl<%w#2+r+E^-;xA
zy=}3A;eyq-;6S)G2Yo;|RcRtWoU({~)MS(I2?&-mA-txqOu9*O0|4c8Rz0KFf4boT
z5}TAuQAB5}Ly<3phcM+H4p`Rlkv_|&h?1u)u74qEyc;>4GJ1LDx}^K@ftk)%`Rh9z
zqu-<&F$nVJ+=98Haog2Df54A;d1VE>N{1U5aQo$FJwO2noH9BRy9ov;y@sISEiZlr
zI`ZJ&Z{iBr-3LG3SfGqK^Wma>N{b}ZvD;fW3O&7yJSCWz|Jqu<DBP>;|6*>dWS2`k
z?6u~=Z#}kc<}pYy)o~F~UE~?rHQ?MJA>R69!S`-9o>^^?ywoVp1&3Z#RQDnxL9Qcl
z?pqUY(GnQkz<O_JXy{@lb*&q3ZEXdK0^fsq++BP;yi9g72aD_5w@crVED%kL*9)i~
z(a_NNuFU!H?yt_LKLHO4G9X$w{l?i=`A!S_WJA;jn#H&-!lr||rUN41H6oBP_f71Z
zW0r7h7EMn|+Q(@UJ!*7;k?6})<LtJXsI8)N;m``4*^0ViaC5Bo=In_R4|UziS0Y4q
zVu^`y(#6kDwma}v)h{3I&AtT}1({&muU|RTKOL$Eb##_#0NG~$4H}eLNLWpkHazth
z6>{@136-}6g;V?H`t053IEnqCtqzEwPF@YhwAtC&@nuT}(9{GDlLhaIi#|cwB=hO7
zm2(3R$O$wwG)lDpI2Tjk(g!5m?|q^mQRDXQO-vnk)6rOy_r`1w&go+hZq(|=#yg^-
zd)!Uy+`gOgzCczs=nuuguWyyu!4;yXt?!Z6or@Ya#&w7c=V=`d0r?4T1MapbCD9t^
zT0T&JkDHg~y^Z+(_x37~3n?T2yh=Z>JOGD8(!;O~?nZ6`sXr>JNNtjPCIJF2P8toG
zT;40^9bJ9VnIsWJH$(Rl<(yx}ndO}e{4^8J<vj@oO0ji{=mP%N83<y{m5E^?`k-In
z3CTM)seznnc|{gaU69u0&T`Ox&ybcKzWIFZ9YH}yOD+Ojbe8J|(HWRZ6mU4>dHCbH
zabJ?%sm|Dfd9M`-cn#3sSmnqHQPz!&3lM4YlV)pjL9rDPjQ^m8Uu!#IsMquR%HQPY
zxm7U%uN|XagN2#bWRs7HhkGU$79DCXW(<NS8kleVq};KfoXQ)Esx1<11KzRHfOXZF
zd{rqDC%}HBS=wdl=ve09iX_ch_1S;QwkZuL+Ot5k2ed}^QSsE<F1v`6-eU^R?)PL{
zBOHPWi=2k!Zn#tex3To<1y0jYSLIAKKvTgwsjd!C$xAW;<WL%d@JpMA9^7I9SDgL$
zXm#1!Fu^v#cE?aLfO?WPJ!W-oy~Z(0kc9P7kzW4rQmzF+ZVOHU<W?akA`hG&>j@ao
zr?LtCm`f$g`l>%r4!G{HGki}Vl3_+GQ<d2HY!1YRojn`U$QR8wnSN#FydakmO72mN
zJ)8tRWtsvB38n^lf=7VQLi}|4oWi5mkMhpI@Dm__747NiY2fo-iIpenl8gtnXhynK
zgVdcnX-e!DTA<dhrMuc^=haPlQB^GZ`K+#-pyNFsqp@ue+_=vZP7a}JHWT;xH9LtB
zV4QNbwal02lq~-e-&(a=0s)xeta32)Ff_e-^lmfUNJJB!0n*cae79av3HK+4Lfd?`
zXK@SO(fBl9j$U-Bg9AI|5p!*exb(_h3PJ?S+Xln>M+a(!z7=}BSAw8>1cY0ey>HB)
z{TdirD=BYFA>*(I>gidV_;ZE3jjJLT6O4B{YiX*bg@a{eQ5M3}r2E1RX~PRnX;pf9
z#J_5b$o<juVXX$<xgNAZD5P`NeM2^`X|k5JA>Kv0G|7_HzqfGlTk`pTQ10N$%1Zs=
z55|#gNBN|Ln+q3LI0<(wnV)Ung#C<oeTp$xjXCRA<@h`t-g1-hX>3?hxg7Cu;~P<-
ziUx7NwXEpjIbuA*ZtXgbJKYs0ePu*zGQp{-sU8hJ<;#k<lW)YLidiNNkPnM-RG{qs
zwU-&woA^;<m5dL$H}8L3d)9RVr7eiu_EcBWlSDEW$|b_|=W)CJFYmCSAuK=6t5_!n
z`Guc-L#k<8M3&!uGRJM1C26DD4gV@_!NOm3NggKKzJfx295TKr%!>IWZO3=TK>UDU
z9Xx*}+@9}n#LjD>xnxKNh_C-{n=4jTR%Se((-)6%fVN{)8j+vdCtKmvmq&8!+yG*V
z3G<!{GJMa#;vomb18=yN6LUeJbYt(ZOX?!XvxW<d8>J}z9icTC$j{Z#ALi4Y^TO>B
z_kUA-^PE2d5io<F68)tx;k8`z8D4DtSGK*pu>D0OUU~@Jph)Chg-g31OY%rn|E~RN
zsgufIQ`_fVoeUx8x3Pg}uxM#uV1Q<g^`ecfEvWPbdhQ&hshxXYZJOZ0V|#0{(3*FA
zX)9~lsx#R3Cdz_6#(koS*x$&;re~vmp6&(uE-}U|58&Rm_I5*uN(mF|r%z>xOUl(Q
zXOf=D&&dim7aJngYV>h-a-uT(f?Jyd{~o-@iNs%^tF&mdvHBYGmjtm9sh;(l2o@}9
z%Ua^z;c1HXAU{%W6_G*ZCTYvDIq!eoG7G?_cSAbwH5*ob)e)sVFhe7Z+Pe*g2ZZD}
zX>+L~ika!@JtmwG$eEW!WGmjK%{8PF6wa~P;k~}4?~{`-4jvw(rSIeSr~n}+|3phE
z!;ty|a;zUeXt&b=``o1dS3i12)%vQt4DU;avfEYKEobEcgXwK?1Y3*(R`c5xp{)z5
z2i+=lyzf)Q4c_+9YXq$x^pQ?6wm&v_8}ve=BFbYvY$k9Kq!J15XBKK%xo6VvXPvD0
zD;9TYEIeh80pGmbXXf<Db?y;pF(IK%{OP5got>8~Q+n>>Em~`+e1j^Q+xNt6f9@#+
zIvViC8<r|brmApU3V~~($29v-IOzVV<QcB6LY<A($>3kXfKD9@OV})|OeJ>`*?~=N
zG!&X)E|%(Z!)nPSe56wUXG#ou@X1hR#kB_yE-RjGm2oYoKB`e8fdnhB&qSQda`AYx
zZB_m8$NRx649lTAB)sF1gHC``lg23PC-cNY=(^pyIFxNh@NxR%dWvJaeGaBaE}8tM
zn7W?sI7`59hZ+d8<3p<GOlok%)P^-iTv)64f14goH@!KnnSOZ|h1XIH*W}sCEbm+S
zPUUX<lxTa6TLoxxU2oMgo@1wb+G_jwl1l7Z#9r!>G>cFhVv6TzEuE=Uu62y2F~aMK
zl5(!x|8W6!43WfVkeB)8;O1;@Mu5GSSgH!uMsjZA1GY3#NK<Fr(=@p}E`1cWs~YQ(
z(?#X8abkZK@dfG`c<~D=V$jpm(=;0-u=O*Aubf?jQ;HWkR@vUx_N8TKu1c!Xg$TR+
z;_6^UaF+0oN6^;4e(r3mq{huejLf=P?(I$`sMrv))Ht2Fcy5zmzSbx1n{8JqgfTll
zrKEWgkId+A^r<vF4cXO@B|NX0EfcIUk@{x+57Y}#`5;KEQ<#eh4ejnK(+Dqt9z;&6
z-mh0z*8B~Mhpo%8ua6{sug6k#F8yuYi(L}V1%2$e_qYNP$G^R^4t=%&<G5&~s>pA%
zA^6+S`Gb(14J5xMVWp3ds~Wp3!`}v+1`u2e?w<*i`L!Qm6&8DWa>nP?PLyColE7_2
z@rOLrecukjmJW?_jv*-`I8o}9%#;;Ivi^RCI$Jw#yBWxdr8NQaDu}r>wLHD~I4xBt
zrFi`=!&ndpfz!+T!%&)m23;&F_7xh1#UwR38V=+qT$UyWTt;GHJbS{Sf0zaPJLM%>
zUU1u4;|v1%bUtP#&{8b54OgTEd$oTTLejIxa8IkF?0fO<4wRd<wZIK(Wd&B->Q&j-
z91C@!P67QPu>QQ_^Op8^cdOBs`K4J`G@p~)<-FEk<P5#!re*Noz(RoW17wAbcydpg
z*M5e@=+smO#=#<!-p!u~jl56X?_{ZMZR%oaWHi+}+sut+y5sf3TxdUH<l3;E9t1Oc
zUQ7rWGOpMxs_q18H*{zV2Qh|%JGZY}84POL?LnmWzr)b63q#W!q!O=LuPMeZb~8Z8
zl1HioVp9Zng&$W@f<%(3w^p~1l0Is!A!GSq<i%%5ukr@K;vQlZg&j>)pz&MGH)lrA
zLEK3w{}0u^aF<xr<dfICAvlQMzKwdRckO|2EJd{1iNZnikG}j@h7VDxo}OizTsWb8
zH;EMy6)N=2Hl8kMrY+^Mf_@uf|Ll(&-9Mc&)oAJI#kSd=0K22p$k5<z5_K598-lY>
z<^FKfk98(Vk3n;xIIf{)N(m|y9#&TH$EU+1^Zb6<9e`^2N%e>Ib>5;_r72`y+|+6G
zx%K7&aA){%Kbqc;-u6}g4nt2u_!A=g9}>^2L^~xh+2H+qf;$?hEu!<<0*=o`;yZE{
ziEP>zDw3AnI)4-oxmH>RFx(*!z5Qu?qaN10OI;xb-|y{^*QQO=k4Lbai5rlo=hx=;
zYqYJ6&BMX=@xNRAM{Y&Qzc#8V*>pCn?p8@X$Q$UhuHCNZ#D<q}riIHWV>PSByaDq5
z)bOnLGFbq5DEU{RT9Kxkf_WG;v=Fwh2nq>dpqr#duWD>2MG)e2?MyYdU%xEV=7yHG
zT029R)_lS|kq@Wrk@MeV9uAZ{i7{fUK^1P;@|ON^cHAxkj7%Z$oN<sLp4<r(Nt<A%
z(BmRh_c@MPzos<6z{p7G2Ne`eMZpMS-Wy~5HrHYlL>Y%Ic9OQJGc{3{LF39H_sv^2
zgMo6e3K-8DvV@zJw|DXp!e3E_7#l#2!}}N+C3i^A<1TXa$5Yb6SoXNBV{ePn!NB~H
zK$_DhuX}^{%SOW2+xirXhjsP!0b|poClh4Mh&~%M%O*G6s5T}}>_y@BD)krDT^3o|
zPUx!sb0JzK4?G%6>P9LV32Wy-ppfUGmW*K<gIfE&j(c=LnLu~^D9W0n%|jj5%1;_d
z4y@<8vkXC-d1N(b5W$xJWj~T!NP6qiEYt&a6l@s@6H1Nc@@7g#<D}*7(UdMdR=iiL
z1XN_P<gl|)#7L@h(EXlPRZ>FnjFRB^R~3rb{H*T#_ncUz0j~~)bzI>0Ea)^uu6ngp
zd)ZlBi79I0nsk=FXmzUNNz`0z9=g+>Vb~eYkKF5*LbCHm(VfuUTX%TRH)Hm~ifq{m
z!q2U??B|zN?_<mr)MXEc{8CW#jwD<|cWS*GvaNavL3>gzh-(0B?RaCCvu^`2HE6Rj
zzq>9|p~=O#L<?s|iGN^AN+5?2GfRM)Tz0@=UNHw#RD9R70U@i9(Z$Z(;b{q~w7L7r
z3zQ1tF^ahZ9chjU_!(>gjcTZhv1PA2O+XdaeEe6EVn5xb>(Sy`5}aZncb1Ugwoi|{
z<%DTYFOLZ(^$Rsm4hPFn(??dlZ^v!zY-|FJf21d!MRYuMaB>nlXAc1>Xw}p%T(n{K
z&Qz^y$RzyrRZoOwzg@S^kyqJh+;(SPdf0h*csS~EH$d@ls_*XZhHY8Ipz$Sa<_-s}
z(on+?j&NQJh|W&l3%E4!B<Z72YUSAS-rk<MoS#LKYR%aEyg6-<pko^v+j);mGoj<U
zvW76MP-Rc~q~CacRF>|UI-FF9jDZDCLJ5%@5mK7p(9jHtv^YGC(l4GK%63tlzR5v(
zu2xZz>E0e*Wg|a-{?yZXyRH_h#-+C7Q~#b0gZ|HbVsjG+(UH@dgEmsW&;L}Qkokd(
zj>2S)n%P$mmAdI#o8_;WP3}NQOn$lhRpV<k9;dR2It8vlf9Tz#zQbEyT>Bpa@KdOB
zDDfd4FY^LMg%Z0UTun8OldktQmx~t$%OAfRdckX+^nKY)JZhVy87MgrXr_Pr8YysF
zRI~<IgGXo8Q9YB7c}R2JIk9R*luTVT!4ur{_gDgg+lEu?^U$bsSPbZME<}<2o2*EE
zaQ@lc2HS4O-*FS&DIVX=O=rIp#yp$LJJ$jM@+-J0i?4W$^OF*gJ)Jr~OybT7TCi|D
z;oT)CK(HvS{^-h9p1Qk)hrqTA2V`H9?`m~*aiLzh@#@89ZRQkO0m~NfVqWyur-sYz
z_Vf{LbWH)-|D#T+c34N9t*4afO~_(ierF|C@n2G|hH|!+o?TUnR(4rU?O1{9J=LvI
z>8X&wy@M-Pt^k)|#x}eJVylsnk-vZcrXP3G<fs|5c&1K0t&}pMy0h_PCS-x2-!*b<
z73Oc^$!YQ1!xLiFuF`VbpQDTtmC9DjWai5dceF1yr04XTKR~*(?3MI55;k^W{okS`
z3-;L;cP9s0^blavC^CRVY%*UbW(9JaCfAw@+X*+ZL`l7xcL}cIHD6m~G5Fz5*(I4^
zx&e|Ga3i(-UGJ~lqw(2yEECQvOrTc1vaD4%GEZ(4_(HFIvWSYHk=VOL#Mc+V;>4Xn
zp&KzBP_$8r=b#h6zQ#@<6ccNfhpRD$3s7&RNNu4|9V6`*aFi6gt4f);h+K<~k@3Q#
z$)>uU%n60S#JI0soz7*cnd3h$>`&mzR8Q6+WwEUAX9=cHI4x_@5e9=>j(esDk4F?I
zp*qT|YV4LWCBxU+zbpe19v85K{G^g!_#?RX5<jF^43__ZYqN>2an2our05)QXd%=6
zdVhI7jRx!F<)udqPYyv1Old|qe`;^H%9eax>KkKP$d>@Vi0QDlwcYkevk8e|T$M3g
zJR3G!p8iY<6v%-viTW71WWe{wmn6Xd*%Ib1c+A*bLBMUmDl7cBsl+$k^uxS6!3vJB
z<q`HTrYi*UT#-S8rEMbQKBeB`V!*?DTzN}OY&2bfI_MX~5mjS_fPZG3cZ|^e>*nR<
zRWEfOtSPS4-%lNav{@`Q?cHQ;)lRW-LH4{^R%baw`8+wRQJd4EBa#Yk$WAAnv{ZT~
zrWHGHsj`R^bl<S&>RZUKPYGwUA}S{=fXw$?BqM9OYgezy^=!<gY-BLOXR-S>7DI(b
zb%;uVI`8hT8*NbID&Gyw>yOY#89xgrQ<uegy@rn;KQ0Lu-2kAPW%HRPDf19MZJf(d
z+a?618$PF4=>`AOYhbwB8NvX@SS8&!px{LIT6p3CNlH}}8obd}pGD2Wp+pA!x5?zo
zG7@fUQ|%Kc+<(%fKJ+c~BFr0h$46ZgO~Qr@6VlS|bVqRf9*naHka2ejMJM5UXV`3X
zLl!ZQMrTRnUtIN1j7X^w6v=Bc>!wfHF#ke_fHd_VgE?>DsE%=VOyk^h9gGU%i{s{m
zc!y9A=%AdHo~pH_(uB@hvq&$`T#cqgnrsUk>f+++N@sE;e>o`^$WSj{yg1eXKXaf4
z;v>Q~cAR4rSV;hWfv*eWqj)?EP@7CV!|9!1aE0~r?5t_s__5O!hN-p{PoUm{>`?33
zye+66XzaYg%g}na*Vw0FW9G%kq-skRZkk}*I?P^Q^yuAC*6__#)QOu~A?68v$OJwD
zJ}~S1@w;h}*rBn|2S(B7l#$ialiU~L0cxCckDQi$@z!PxqO%|JWj4tIa<^oVZ`R#3
z-!FwTAQOCzgN##3ejX(XftT^kh)ei+a(^-EsD*xB?><>1U?#xMYg~2gy`?OEiyq=x
zzywoOAiU=sGz-69w$!^c00FB^Jk;Rem@yzjKC93<dUH_xjrj1e@q@lvM$KQ(gUP!7
zUH9I-&!0cv9~9)q!qJESbLE2FR`yPdhU}JHC3T$Lm55?xC8h3eWxn3xU^S-m1<Hyh
z;iHv|mrYL#`rtVk6LIo=X)6a)o5>N=A(KhoBM4TCiQ+ARGRCG_JU{DJo%i}*Cs=&`
zFakSQi1;X)B>)aP{0urCiNAjLgbnK%Qpwl5S3CK`0qR6drJO;SkS<N&;GJv#LQRiB
z%UgXLZa)`P-XlG<33@5@rF5IBxNKc~GDoa|(Cz4J$SO-4^wR;$lqSI)aW}zdim0{-
zD0pv0D>U<iUi{7szO?B4(n74kXL__`+YYdr7*TJp@yAqQt+rL-o*Sc3*dY$MbeC8y
z!d#5ounCfUDoLJd38+n*&F02)J;WzJTbiz7r`^qOs4lwixV(nT?CkIkyKv0kTWTl>
zQVFZauZ;hZUwxG)G;zgUJAa~b=VT|0cq%*6K2)-VL(d6?5)~1lwOIyg&xH;C1*j2V
zammr{p4?!->yVI;@o{~~?H%B<PfNu|=nsPdL=<(m;ib4|5m8Z;GSqXcSEwmvkXYL6
z0EW11`4J*MRb;CuM}SdvB;1m}CIM-cDaM<VAZ_`&s4$JOdCs&1ev<k-S0}_et8+gt
zNdCh3&uco3088U`GVpDj^dF(<Dtx=1-sF3n?pyGdxL%t_EK-9j7RNVWUT$z5$r-Td
zDvj=V3fT}-m>MeEVbd{Wg0Ve+2#h3T#|~<XfTjaHm-XeH(`%aQ-%5M=)`QOJIOjau
z`4{&FyZ?AiCJC56re03e5$>HHH!*YOkd~38j$&N)I_7#6BhbeC%jX~_A=iDT^D<VG
zHmIL{&t1|MyvLwMtzYo|0Tx3b<A>HsYk-Bu!NE~7h9h#iQvUCwz~1AqV{A&Vsrvl_
zZ1S22-3_vry`Kw&j*jhTAO9@`Au=n-9-po71<bGh(2aApsQTJ>p7pnvc(ZVF4?vLE
zz=FwX2~5-^A(!ilmDu%w?(XjTtw}B%P;=?uhn!I!AZ^Kz3?t0tKQuAhGVp&s9%-mK
zR_P>`3X<MJjaoG)>aT4>w4=yB)e1DkCcP{MYD3<i7q5)9-wlbSMy?*HcWpX}>2p$L
zF?vq!Kx7KKmi?*_(t(>Xp?6$W6xtGMr0#!T4A1y?U2Ffi9OR-$<`3ua6uM&Ol;3yZ
zA64mWz-utftlF4Jy-+1yllvpDW>aX;L^s><x7MBXrfOGaM#fvpF)Q9Ix~1RhFCc(4
zZSr25=gzZ(28e8}t$$K7Q{bb|OH+IsnEk1{<>CG0i43X+>=vKfJ?6SzgGN!HXtM<!
z>&KQ2zG~K2Ma{WOlN0ks$*oezJeUfB2>R-qe_)$9@oC6e+}_-LH*a9iYlmho{^V79
zvEw^=Kl6ra^}g}ft8lZ&Cw6Wt1-w3mN*LOad)E>C%7SkmNMOZNmuewW+WGwIxVh2r
ztpaF*Z1t$R=z4J9VD`$u=u}rR>|Wix?;9tMefn#n^H0wL%oIA`$v%C)kb(dYkrF;}
z4b6pZ-ib1^!JXWz`2WU-seh^*a-ebZLy14q_Ze+pQp&6cdJP60Wet-%D@#qcLP=uh
zv%G=DF!vv55*To8`%d}v=ZJF-MgsF<ClSvX%~jkEyWJzE@iF5d76U~L2pU4)Di0{-
z4S)pM;0YfpUoIPZzq0=GZNYJ}05WvH5Cc`q0P=spz^y0YQ11e>bC<eQG9NkwPZ!+t
zwMA$A$g{?l&q|ZWCN)jGu#^b~rgHgLzQM@Us{}tkF3%jDB)W;v?dFBYKSGo6;&{e8
zfBMcF6oV^yV<S`0uXUM+c(Rk8?k<b4d!Ib{PrFO3cW-o52hvP~w@kTA<SYn)M4;CP
zj05|&zW4Ve%HgT(-9%msXx`iI#y#Hz)xS8iM`=Jp%Y~^zKwLy5I5$k56j$Kz(Z>U(
z0mM^|m*2*iVJU(JIWTWERPYhRnN#)-yEQTBv{k)*s60J6=Er365yS_O=k^EIaVuRz
zcRJK~Z88pj|L(JXGJaWRk2i{!J;3~|enL|*peB-U9;6(N-{|`0oN9r&d9~H7Q4Q#~
zmXJDhZ8OLs!3-7XLjS4}r6Yg#j#Y6EpZ|I`;v+B)fLPn7oZI8<E)SS_$>t&aF~zO=
z*dSli<HmRw293!0LW%E$V96V{W=@0NwmI7V`+Lg~axFXFSSk~qHy|Z<f9%ey??*80
z=Xc^-?(Xvv`EmZ0e!k#f(OSVmY*_(-laZ5sg8>-q$Z!^4;c|8>L33>e;@~Q1E3eVJ
zb5KVq1Nx|+`1JrbDIz{YF&+aDyz&5axzP+ytr6nRfF9*u95Fx)ot8Q}GD1g3SM&AG
zMcjx>pN@E~9*{n!MO=GM^2AGcxA?{8KNd}>^w@E2%{RziHGce^+u)(lo3y>WCcZaH
zl)2HN0-t7((su?p5h=r^*^CZ-8(A1<EESdj0YD{SC475+_mD%D6&U~KX^y^qUPA*f
zBU(8rKf4MYC@nQpa+Hy|u>@vH^Z~1;CiE9HJqls%;QNdwQH83>aFU<0p;c5GlX`4$
zs0_&U8PncuvmS$X<o1c$fra;lg*P5*eNtOj<H{ty9xJ|+sDj0y^5+U!?!uQ!!~X{X
z2BR%~eVg!^or}Hb8{~m6edTAq^<*#eZ_xNK`1{F8zltZUHg`fHsH3-}Y*so=-R6Vl
zW`hkA(`4wdQzxwe={4%GhC>tvjcXF{k?5;g*DuP!N5~KlbbOPEC4WNO*7Y=jNE)}h
z({wIousz81XHi4lzcSspdWID(k!ew{hM01n*l;NW^?C4_{ObnCmfQkaQZ6WUKPjP=
zRH`v=T!ljqD)LT-P%?zR-{ZzwH1t7Q<(K|flR~t<CjJK4C^#7ElCy%>OEDTqVrqZ?
z1Ls4ki?{=bDI<kG#h4vgw@e_N#oDLm9)U8Zx$W}z!`%4@8!!46ZvHFoR%UBK+YddP
zCq{pST)!|mgXY9iv1ZV9<I<E((7LbT$u=nVOydYx_tcZTSQ?9#P(!U_J420W!8s}L
z$}!`z`168!Wh_QruK<HjsLFNx2&I60$>R1x<_M%Xl-O}}bu=pbdr&b{EkMu-Rx&oA
zc@Bl|T@OaH@o4CMK!D0L9Mzee*GqC#km?8&7t<GhatVw~u-3cF`r&XnH%OeGkos3s
z91&`>NT3mOwq3v6f2-I4dRwW(KJ55BTdpjZFs{oWUTU*=iz6aNMai4|J}r@OVF#xd
z|K_iQjt!LI=1Rk%fwf-k!cW!gojV_~<efX-;2Kv=YcRa^_WXDZZw3`7_Q?DvKPkew
z^cMqABHq2702U1fuJlS9ny^+Uu_L{uOibhcV<%t%$k#znFM{}t5j`N8I1l%nqNN4{
zyJzkX1<msY@MzpPvuu46l|mOZ10Xa4uFJm(`d<+xgdr&KkVLoQTyTz(uMJ5Dgv221
zH&LNKOvsGzBfq5D25Nd#{Duu46(iQ{F$%-Z*`urTfzU(%KhUjeZa#mV`xlwUchz_0
zM2L^ioO;d^ttI6?j%%egrjJ;0!PxT4JOHg<`Cau_?&C(b!fO($#H@f85J+b%B~fHY
zcvzV&`JrWy$UYSy!uI#~(<qWZ*B2(eClhQlMic*F)je%m1YO{>Il)m)>dlI^7NUnN
zVt7eiZre3E;-yO6FJe}_X8x@SKN>~t1t(y8$3W;2&`Wq4d+<_pl@hah2;+q|hs3RV
z2$O`??_YG02SE<tF$Nh6QT7V;n7n}s6*QMs=-8N<&3!y_&cEwG62LD<`~vurfIrNQ
z2i`&Dw~Tv>*kp{?fUqkZzNbWe`JJI#sr1yziOIawVMi|^THiL^Tj4mLx#r?(c|>sF
z_6cQXGGbjYOmfc<aaWVt2ePGpCO5N8j2MX24OtrRT3E`#*hmSB8a5b^Ayl?+1``*>
z(G&o(hk&w<cayuCRpsLNG2sj56<bEq$lql(Lae_ZnjYg)=%s%t^re2G8;MHMaki@$
zYF~=Wt5S5lU;f5Wvz1dhfkv?snEbh1&N=LSWNt(qWL!K<DPs=!c&py<_{hlP6vMyz
zK2GP7Og~^zmk~g}0>XPq)os$32yzFH5z%K<7Y9bu*-2a8)`;OKirEWC;8`<bU0Wp1
zkFmKmmZC_3Li&-n3PHFX`i*>lSf27vP|*1XTf3)T&C7c!=k?9Bx|Qal5gAMz=ZSg8
zi*yR!lgmKeicYr<i3LB5<epi8q8+XWum$j^qVWYCp<}Hm<v_`e6|`DUG}TvLl3yil
zncwMI*i?B>w^*Td)xt12RU*DO5GGiS;NLl_n6J67w{ukI$&8-d+&K8Oe)m#CvXE;S
z4?ktc=Z@ti)3TbTrqx>8@*}IqT2Q5%+u-~8W%-Xk3lP>F80O6H13LMR`$}V%J0~;;
z3?LcKzT#eR^6>IHY@HB@MFCa=ajj>=bj=8cLOHwtUI0gf9%>J`=N=6g5pZAN+SL+r
z!M+$=5FusW+1`%h;y%YhTK(FeoR*O}l<B>8+(WL|NWyMu^766emkp*@->^|RxD$)I
zdfL*4E=TC_SmX&>FrDphMHTR4P)O(pNeFuW{5cfHY33f)Go1)AHWQ9NRTuSu>vU4z
zwoMy?m<iQ5RY^rA!|8*@TnjX(4Ck|T?emD<K%krP#n=FMgP8H<DfZ9>lCK>d3biUN
zF4`93E6nNFs?ZBKgtg>@mx)RCh_%+B4fYlKe2CHDtvRM~%iGB@F)=h^AG<c{Eh{|Y
zeL1&SlqzD|6f&-)I!%ROZePCqno>q7*+T4$8qvKlC|D|)B_}8I{rt|G-UlsUoXL`#
zQmKu-LYA%N>wkvwp5~orWs-24s$Kbi?R|GV)_wS|tP07h$f!gJSq)p+N<`gcZy|ec
z5!pP*%DyvitL$vairm?ovbT)LKG#>z@2ubJyv{lQoj=a~$Mbj|xBLEnKi|*i8t?16
z-fw*)DR|PA`%^O}Uz67M7wjwh%s5e)+IE8Q=2mi?Po*ET7M6*1=qf;mr)~L-^!ty`
z)XoCb??aXf=2F3;e0AIX$&<?lLmYIRS*qfkT+g6=rE^0sS{YhT9z|mYW?H@;N$5O*
z)=5s_0)t?8c5Q74-E!q!C$3_ma4t=W*EyW|%80hiccFLF9?E4<k>UCRre{jM?tIV}
zl7|3qVSl6Z49egpI1Nx##B5Hyz8bLi4-6n?>kKP_0sdyZnS4|;-YSu7jeZSd3Bt>!
zV{v7>6D&7w+%k!HnDZCNuY0ojP-xLc%C%*pmx1a~|DTPoo?IoA>ITko-%|}%2}+!-
z9qzCZajMJaF+pGSe$|j3b^nqBbWG+g136gxjKWH-0$WmI;<JaGqZ<9^Zu;U9_);{>
z!joSR!9oHgw%aAr5IsP=AK^7m{4EvgazCs+o%ZXO*0I|K@6)nwhazn(oo((80}iL|
zTNB_s^!~y7%Y}L)`(fR{?|0uEJA#5Qna#{r-kQ@Saxm+ut)HvZgIH|y+z-z7peFsd
zK6>=wKcPu0>RZQSxO>()@c}g`6T<#X2z9hqyOGd+`&&uJ=4BCN{z&StOM!wsj6I5`
zczwN-xOsSZNOag5pU03y%f&Ge@BWYGr+&+F7|16eP+D;u+3`qTuE<z<-x8R4xhdN4
zrF74kz@^Zi83nb+tarHD^v;a*4#<?eB&L@b>4j%;`!Ph@gTOnISm(7Rs#I736B9*b
z^<^uzpAvx>CSS$Nyvj(eNuMXGP1v+S9GF|usOUn+uM7Y4u3+)><MO#jo)5<!AWaIe
z!$oN7Wr&~1;4ZT+c`N@j`GH-O?h~^SO!qo8w^=I<RAyK0%RTgQb^o?|nT7`BGHs4T
zd*-KZpUzm2=bP_Xeg+y%l_YVQZT80MZ!(QObHm*3Vtt{hI-}83@y;62D^LIu`nRTl
zLCSv{cE8_u?O(fbD4xGD@0f<FNX4lIaeAmAXoxu`Dq{ld^@ZRt`3-Zh9KG)qkz=r$
zrohD?mFMIRp1gni@;R-6D<ZBX&(+R)wBf1A;A#FxFF@K`Mqd*_t;D)3E9=ScC<>SM
z038M%r?q|MhmG9HYNyAM7VdDnsqiRG-1|QWE(<Z2ToiwByJ6Kg`>a?RK10hdKp={8
zq-zM2O$FNxm22Jpte<6m_u%~ldqo`!rmtdN>g;#~mm=O<j%-8q!a-}t!wXtF=sB<o
zN)I6}IR4ZP1!u1@9n7;DhHydJ&r_CuZ!)w}5^hlu&DGvT5=-8{iDiz@)$Ht%&$fy%
zn`UYMjc*MBlamzcnB4$KdNkvHdqU%Ki@~soZCs0{_*v$3gH<_35(dTH*O{_UzWUCN
z$erQ+_Vs8*a<0xbx%~O=@krI?AJ$wquOAbe9K~4h-yYZg`R6|FzzmTJsBM$)WN=(a
z3+iW&O)<%_C@p+gI)E89EA1zUtz>*ikUwyN!{;g*m&k|7JCEb+wI!x_k6ATOFJVFY
z8^qVxDMi=nnl}^Y1YWepe_2bktIcBkaqeaA_dt+<dh#UZ^H=Z4hs|+~Kj&}e3b)vZ
zh{>$%leQ<lP*p{hX5^rhs22C~bCdjzE(T|$au+%)su@O9BVGOv_Ah^ar;EOl`Q634
zC&8D;&xMVRO{C*->f_!`+(L|UOZ1uHHg}Q44l%VGQ8}rp^(&4n%*>_+jV8B&d}kgQ
zKOIxBGE&b})Y;lGWhCB|)GdQ?pQ{rS=@PF2%f=xwbmiiF`E)Dmg`&H>D+u1gJScXK
zU8xQmqxz+@FgN$n<HwI5K3o(HJlt8BiB`Z>0`ORUD=&03?6TUKOqb^2*YT$$a<^4g
zTR1umXo}ds7-}b6h!wYGat(h%b%!nzg|dJa1qB7spKb!zI5!M6=d2#0*m&B;M+f^C
zP+<nWO$+vpRfmHg4ba+8sJc7dSQssQ#ti%H=xl_0Xz`oLTR!@H7Oom&@Cb3=0aMdu
zGR@z;;AcHwu`(YLVe+H&^!6`PmSBWmqEd%2B_cu(s16Awu95|e0`S_?-AzK+h~ogv
zCJGv7ew@O&svU@a{-tw*{?CgnRliq(l_KOKbfl^(DywHLBF}k$D3<Cci2uCecyCFI
zG{X{PAIH+|SQy`T$>uXTb4Cu)+6B(JL`Cv4@^?*b6WCkG&y2<xoD1uIl`l18m^(>Q
zI!#;C`ON8^Vbslb(yv+_L67t@@=A*8aG!A|PZMP3cdtG7CZ`GAvwngKpRg^!U=*;I
zsAkpj`@@`U=wg$SINLY8BZ(eNr+*N?$rD!2#D4+Rb~(ZrXmr*{<!?MyR_<=AO@gkG
z`&U2IRruI&(7i2@!V$(w;&Gixj9FPrXBb>thANLGsLG{13E(m2rY784hLKnPq-(E$
zV8j_>Wyr)FI0H|;cz=^2b|x_=v6d|-AZg;;)<V~NnH}G|e)P9=R30<=3l9y8hs8|3
zzS*av3rnk(3KVp~VM#ipB?521W9Gv(WVxI<Z&)eo>!TI2hyl>-)Itd)Fm+*Vs_Qpb
z^7<{r-r1NiUh2*|Z5OEULFH;>W<mItYfYQsB!4E~nTQ<Qa|Y>rzj7AX(5xyk^g*IF
zNj%-OQrf!14{(x1hs;W6XJ!_D@7=$ex<Wk=7F({K5Bzu`pp4?2yr%X1B`ioW-p-}i
zr7b}z6b(;vb}Bc>^qw1K!((}r)#I>f0rX<`>+a(KUCa7IDygg<fr4EhkJHRL{p4-)
zJzqcl)A=l+iGbu{Zbq)5X(Ur=d3i2+x;+mSem>PGN-R!AN4ctRXc92VWsF0TLTqHD
z__<3|su=IyJ!|m<Mp;c+m_ehx{FHd%ATKcwI6+h}HW@0`#%eN38l@Nd4fEw~E=0z>
zuL(9<QU4UfT%coUY`k}PgvWeA82kB}R0OIyfHH3UY6#m`AQB5g2TXk_Iz$Dfw-$Zo
zR~UIAx*GEFx=h%zv7&dI;a4nnXa5k;jUtX<w8`Cs{g+Oz;^IDCCU6#@kA3)~58-Q|
zo93qrTP+s=CK(dGlWiVmWN7Fsp0>W4^7ffIisY2kTmJaD!)9^82@~EhY94ehEpT^X
zFnTYmz6!=qkPfMzE2Yu4S|0vG4MNC4=n$*g4}a!gG`~M4{oP{ow1=-7Xb#R1z7{nh
z;ST>%%DR{OwLP8pR^HU1^yx=Y`PxY`u?Z<pZGNOuDGO!>P&#O;5)ZhwnA{G#d?#qm
zMJ|%DtuIhk=sq-GNAdKJj>6nCW7{!5!fXg%$8x~n&0~z@+)urJ-vz0cM~aGT6Px2O
z<~>OYO*uFL1|c7n-b;fH4eh%Z__(KtD98iRadB~j3uhO}C$bDL35tnp&N4HiVrCQy
zrQ2Iuf$k;jB2Yoc8pY4K1UF6E3zqiv(zTow>}<%$xz=~#V8>>iG^Su+$-(%+84%;P
zrt6{IeYIAhg(HZZB<;eriQ+Gu7u(}_44_5tn{hCcDj+ry_0StFnAEAu%_>KM1zsaj
zZR1ZyYNYtM@CeZX__jc!!*O!XDz3E`wa;w0))a9N`@p<-i9t<C+|x)V&e`R*A+2F|
zUM?r?s8|BV{>IX!F?k_kpZa$6*gNXC2l~#wXx0#(2V}KkCi!wqXyD{&e!f0_Xq<2h
zOldUr^#{}ZVHd)<zL$CJq|=JDY`QBeEAPm>UHZLuN-){tD*o#Rz?DI4OE!=-2s}ju
z-UzJXo74C}@k4e+^Oh>;6Qfy=MK|()AHckIUS6KBFFqp$e%jnfQ|Uh%Cgnx;1yeU&
zKZ<yl2yc2A+)ZF>-LfE^eP%H0D<DTEaxrYm{B8ow=ETdx-os#GqE*ajesmby85`d)
zj#O-&TBn1iUN4(ZXiQK#1^E<pOEHh19?&n5O}s+(=7p2%I1SeUUgcvE^R)Tdp<$|P
z9gixlM%3*&Nq4{Zf@k7<vnKF>jDmvVd9F#`w_h*lV_U+`Q=e<;4jSC`NT~xoHK~Hl
zM~nB`3G2*3vN66RJ}iV)IZGfa5r&88VxyucN&NxJkd`KFu{n%8W$7GcwEI0xVn4WD
z;(-9&+v}$I&dDP>ngWiR+Q7q%4Nn3`$lrAG;GQONv;&gOsZ!=F!$6`jrk*C=@S%ym
ztm09)`2{nA+`g|iqjDm5uV0^%pYU_jOmMEd7B`5d_K}|@2$vd&<PXctNKfDLARIU3
z&B)ADJ|tl7)8tQkT;%*L^Vfsd1x*c1T_(KJEipjhI1sUx6%GYYwV1|h%vAih^t?IP
zPo>zWmPF3&PEQ-ke+Fj6U$1b0;Y`5+78}UD=s6?iMHmymUo^9d8fJpVuA-=4Xx7=;
z*+nyZ0Ia9y&$n+3?S_0TDJfYk57^N(Gs9dxbMSG&HbJwy67|w2V3`!gsEyacr2Ws7
zk7%i=)7a(JNJm@{$ZIWH-rVgl-u$rxq~@s;|1JdxcPo`YEE}BHqAV(jF0p*P&75M6
zqbLa*pNk7Swa!!(Rr+=r%#UUH&Q#Zu<TNygk@}CUD4a{b8H5HzQzbVhlVOjQj+D|M
zh{6pwMVcM_5@Mcooli`2mY|eUfb2{afA8ae7W@r<x`O^Q<T2V4<CLH}%fz%b$xb-W
zU=Y&V`F>}ukRoY$95g;&J-vw71pYqLr4E6d&Fd4-pEIG8>F6(I`84Q0eHt~g5@Qt4
zV|@EEJ*kYiIPSIsWkk$k_@y`w2a4vG5keP*fb{Ew_uqAeXe%2UsPnJ9p->mn?gJU2
z!QDoOP<uPOP4I^2-##OYz)<k$OA`3GsN_0)2_PR7hyGY%qRodpDE#V3*Mn!(*;6jw
zeAFZ!iqdC**(#_W&3kffLd|}T32AHsm71uw@BiF%<^<*!vr<yj4xxgEM#9CK(|ASY
zBGVS<T}H%DrIgfFK*(`L)ZIB-Xz)Ch)Vi}UFnoh<MNHKobJrd4=e+UG$uyjdSg$%J
zZ=M^AE=dtwtR0A%Ttg^HNoYFiVYlRjO;y0;RgUX$Z6&9^n|NzKCWzwF#ioAzajVN%
z#rDolhDFhBIc{oTtBGWS427GT<07$vJgN_D2KXk=LYVPNFQQUmk{i;|<Z&DY=0^Iu
z2~E}@TTrZpeKsF&S2YGS%$~}$jM8CrZPZ``jWVJ!4{zp#@JQcw)bxbyb#Sx~N8R2R
zS>ef7L+1Tq?!<p^na91Z>>A&u0iEG<gpEJ!uTzr%F<WySnA%va9bmKV?X4KIM4{Rr
zvIl}QSIp`G2X@AXjL6SWE;MYsE=!s9YHYL$#I*e9o-oUS^aBw-?&*g&jpVu<PyfQ5
zqGsO<=W%gy8J^uv2Kuyn_sUC4VdmtIyC@1JrBw2q1B~I|A#jH_lAL&y^M9k|rQew@
zJ%(ztF5`e*hc-8~&Gh&8JHp-Sa#OSMBz#*~Sb#SUU`hNNfh2f;`|Zu3n|>Ei*Yuz5
zX%TSQ0yUj+F}V^;mylAraHZHfoO$E5Red?-*R|GL{SGy9th=kPScBfngs<)@#_-I7
zn<i~}wRHi=Jl~#d!O6fObA|(VVApnl@)fLQQ64K%#KY=({;=I3cL;fE!f3-8L@KQm
zbEs5&JOzqEgz4TAM2zSt^YGqV@{KweKIP^yy|b@%D|TWHs0GRJ!P{B$6W$il=B5T>
zc2%l7^HKVpuZZ`UIyv?ZJ)tkg!w)<H4molRaVkO4t$%Q^qAs0rKI;8kqm)QpUAj*I
zIAUmdk@0Q(xxMX(%6P@Kjqk>mXZ>KewPCn}d?DmIqcW9LBohinV}SV17Jg|DQDMaq
z;|cKWMxO?#sAl^H2B5ThUh@E=QFx?{*Q8dK&+J&s-eS)O4|?+5`d1+$#hF(CN@X=u
zqwg$DiMJU@ze?Jtrhf)|!Wf)frlCRPB<gp|k4mcWO{1Rnv~XyC+7tdg3<L=BMHi@M
zfAf6F&&>tOy<r_?a?;kKJWSBnb<Op0TcsBEAYQXx*5Ib@*f}R=us`Gu6xEdEY(aZ#
z2sJPn0h0CHk7bgBO%#M~mIRHEb8UinYmQZJJBEzPKvnYG!dRWE>21lEm>aRVL$oAs
z0t0xO*Aqp$(7b+gyS2-E+xv$gYX>_Jk3nuXjkYMgHImUk8cq>dM=>$4tI8xMSVQ53
zP+Tq(fhoC|3vB7W61Lpb6kDJVxwf+}r6eya3ldy({;#dzL6E`u#j)q4BI-JC_nAKD
zW=_yexkxlC3$31~PF?P=xEx8Q_M+SjPUdfH0X`G7Bm|9g*!T`YrRi_RughYN(l3Y3
z+I}K^`^?wJw#6w6BN<X!QqtSo%XH($JNe9`b5n5U0+ixQWftEhs0YeMTxbT>2yve~
zOav%7(m!~2WEQCwSPh;%i5q~~*QltTSa)w&rbayEsJw#One~d)Rg2q~17*oRrRuB<
z5^-4<p}CuVJmn%#8a{oN$DXCt55acur$hX4|LXUp>stq&V&qME96y|mxzEzI46Bde
zdDk~!-l5kC2w&@gAw6_fNnw%`O)318Q=0K{Y-};w$d89tJ*44&t2xiRJQzlrH$BHz
z#2Db-Hg5Z1no5d|m32P$Jz`oWFa5nNh{c+zv34O!Exs>9u7}OJMl^&4kPyB;$q;Gq
zErdMqTX<?7w0@Nna!nVdQ=a}nL3)!88$h0u-U{{uoy^6a56Xe_4x0H!A5`CO3~u7S
zxJ?XV2dBJR*Uqs9y^CDrI4nrKRPluMZES3o$HI4+AT-by4_vX>aFbvtS7nX{V#v~(
zzNyVW($kq4LQx*cA28V=JQi|wo%OM+>`(%%X}tqi%$=w!LxXHMAmdig4~fVQ7EyVO
zLM1(5rA~NRKH|3X3o?z5Qyaet$8|3{dr$E<6DM}o)8<dcp@pF^gSp8zQJ!J(I5uOA
zul!}gT<L|Qn(Jq9$!!kmjur1)QK)N-BrJ`DF_@X#xkxIJ5E!Mf&=IvlxC8TSqo&<|
zqGr~e4b@aG-1vnai>O~uylU$cHn89l4HBUPz27fKP28e;i;9L;)4dGXg*fZPd=M?-
zjLAKEL@RX5%S(=6>NzXx%Lu*}z9eljNd>B=^z`&`ks(9gP$atFwdU7^P=f8s)7yeD
z8M^<YI#*<a?mD_QvETCJb0VV6Z4Zqbk0d31T5UqySMMjZODyl#Yg0)z!-sA%ULqkB
zVF>RtTX6_}cmL{>6PTjQgi1;&tH)FhA3S>fm95g#bb)sr4-R}Vk?8CoG^91-`A%?!
z)C_-*O^Ysf2%SJAk4j~se6LLqhF4$R7Usq8*-p3CN_H6+yMR3h2;Z{Yzfmu23VM)$
zO>F5m@c2u9*_00xVMzvRTktuBT>IS+Ge}6h&Yna0eZCeyrS|e=Rm%#Cv@n(&=7@rq
zR{+-lTLtRe6L^2-)$9S9k6L_&asY(g>b{U>fq^p4%8e6OY)Xn)nEJC2&G`8EeEA{?
zo|J@;#sH!KFmCPZ#vvb}_X}Qe8@|52KA)@cGNL2XSvPFF*}1HJ!Y<*bas4d0dImaK
zi#WjT5ebG(Q4@1ZMG!<>*AG;1v+sAZ$a1es{B|n{eRuPU)}O-$+mJw4Z$Tlga31{-
z)Al2<DGC~YB#@XyAI+Kxq$ych=hcJ3I59K(1#HJY^L-serSeRw&oLy})zZ9c9zX?A
zPY+1-L9q1%KlugY6Z++i@nj^v5OEKghb0pZXm39{FfUaHvmZuGFf(7Xie{zA*_O;5
zvn2i#uHjHm95NT*Wg>~B-B|($Fye{BF9qBfIhe1_9}&~oSa)eLob7T_L`2upv`ZHx
z4xXO16Khr`CS>?&dFg^w^V9Nf+S5ct`z*vYtU=JrVbEbhfmds7s8kK9FhhJNu{?8R
zW6MnQy*Ommrl+TC%fYFW4V>(R#L8}@-P8>*3G7^yks29(@zAoppo5^6*PRAxzIb_9
zPwhfgtM3sv<&@U>$j>seEIL0R0}kW5lDPPImwtf<DKNjR&gOSPN{OZg{{ahoWk}xJ
zW`l2p#jKBr$k&Bif;AfkM`8cNQ}Z+hR{X1;NU)5<pFtDa42Rg;61+o4hrE;$7~?lS
zksLV~46pPsjTM1`U2##-UhPkvMjK6S?eUKWEzZfYMr!PaA&^eNJj>gD&<kaZhHHhe
z9bm%POn8KomrqRHPYD!C4w8!{DNA?g+rZp3kXL%!`q2@>Qeo^1BctB~TUBp(Vjwbm
z_ik}#pIHtX&P{Hcc{uXZH9#Okg29+^Q}0EZUV&-1xChA7;ifAoExmK+j!TX9iWube
zjXz}p<a1`yxJO6o|IHXUvZ0+nk|_{v!W&OVD&zI7rsW5Jr}^C$D&A(Ya>Q2=ow(4^
z+?*W9;Mv&opFKmN0s@?q!7sx+eJGv4MtWrVCPID-E%Wz(L&$^UdIC1ycL$wDD^pVl
zG0BNqBM$87u+gizKU|t^G%YPxzi*SlJNKGi<psdEylS}CZVSS~-jPACb}E+FgYqEi
zMrVWg?uz4iz4Nd_sdXn|M1TQA%SvyppDR(_nT^C?ex@p`s1J>gi!ym2A9Lh~M59;3
zK#roQ`ynbUbo|b+=_1geTMHpl0C>1=NHjF5J@<2e-4Ic)3qo7dL6e=UO(z}vo`e(0
zTXAfl8wqZ2Wxp)1Cl?$^z}zm3m;>31^j8`K$0`vKk;8O~UiiNH@1IjF;A{Dfk+Xsh
zJMV9Z5?G}$U|QU*_K5(Z@5%e6XpHT1C6s;$e#DEA<|H0R7}7zrk}6HWb^MtA_nw5Y
z(0P|DwRkicl&aHzw}z5@O4f=>AWS^%d&Fy*Mm^@~*xoBK!>136##=9~jRDh+t(_f>
zfy6c<|B~8rawfijgieVrH^1ZPJlwjJ(gi7_kac0zCvhM=#ZL$Pcn}}15)n{^%~fj`
zV&{N1PNLfm{+yrfBubkc4<Nq|7zk*l?H{TGr~nO<L1^>+Wp=hvxkw=tD&qsJbbMr_
z&&dkk`g`SW|C%>Rxkx71jM^hZp3|-5jLMb#h6?Pl>4R-9$T!?MIXcv$_zwaUI3^Bf
z9ak7zZ1Bd|8I@6ez`iqPxw4N7O<(0Bk8ku`y$zWuxB1D(Q<sHE8$8g{UQgbTwXHIt
z!-A8s7aY6q)VTDULBJN27oww8q=_I+qoAbZ<Kv4EhaI2lf3h4T8lX)FWmun9zt{3g
zVH&bn8~NVNkdJVlPptrIoDKR|I-0lqqOE0>4E?C52pm(>ZRN?^iV~xu_)-xW4C=dt
z27M>H;;a%CAhOL=Gc+7NsZ%96md$b5Qy~{^<n^@8%ogvb;CaDAJ#3muOQriISCpQO
zM0I{tDJ<1>73lo@Z?J_;z;xieIfu9m9FiB1q6DEo*eu_dBcPE()lKY)W}4UozGG{<
z@v4jg!88id**|rcFMFbtBu;(GE8)F%tpSos6GTz>FUEt@NMpbO8xel-)7rU4TP_m+
z0Z7cjgcq4@E2yiXP)2e}eG0rkUkYtPM0Vc^zWCo{ockbNKJ%K~ZUHM1xx>ZkD3t<=
zwj$wd4-l&e&=@=sr^b^K>Is_?#PVUOKVDgcFRed&@(5pf>+{C*hfVo)h6hpF3zMsH
z#5Am4gn-9g95FUHcpy*;bnuxbB@G<S`0Lg63nbMskF2sQ;r7XNPM%9W&cjEK_%4U~
zP01wWp*!n?UA22R35!#c3}Pc9(s~x&REEO`t)Hsugn#MctP7{a#;R&)2xYQ{2Ymgn
zIiu;qx_{+sc!v!hVxDkFIKrliii@EN0GdbY>X%z=0Ie{;>r~4J<^ZSi1YN-)e9amJ
z8jRV9<|kRphttTf;B}SsWV0bZ2H>5X1?0y`9K<3cuUGtk{~Uh&|8M;tR^am!rysp2
z9i74&sOq$gezNl~<2zY0oUU6nTipqkm8P)RuZd2%$AZn-MwgXA@xD}I1VUtZy)uEM
zTVjlW+Wa|kZjl$+={O8VV$A>PTkPD(Cp#9XpfrOIPFp4Y@)40w-``%5Eb-WP3}Ft?
zf$=VYuP@(Oj8YV(S**p`>IMz3_ZGnkLQboo{_S5Wgj2J%T#OY3T}#O=P}szRSX*`#
zp2Q6}GYj^l4qUoV^v-(3%HQY#vGq5Vm$>PuNeEY@6ciNTP=9wMObwS*>iG7Jeo-4|
zOIb@RY5TKTsXmj$!9#iZUTr2876T@{M3oP||C?R3U5`gnp>w=9FreclLJneFX{*Hd
z*F^T0i!qoROiUyWGB~a<O}YjG@z>Ej2F)Z6IykOtk&kY5l{F|P3%g|R<Kny~Qu`0h
zu}Pem?{Jin*OyZ#&I<X_2Iu4yz)$z-P5?LLf0CVs1Gkk0VV*yO>pTe41Ha%!sjdZk
zZRekUTy+OUXjZMUBBS;g_QGmj0f8X^@oD&GligN9@8<Q;i&xa(-V1B@7A?xh96`Sx
z^gfyg2`*`VKjfrtCcDJ_<eK)69c~<Z0=Tw4P<eCb)BB9Sa>t+pWKxA0R>ZhKs1@iP
zC-gsl87<Op3Sxc~lZ}A^L1?AR#b6B8I<eS^G7Al`d8ykBKTe+){#AeF=$HR|q-js4
z1qin1?*02UVSm2{a+SjybfgLLnINO*0AjzQDOf1q-Mcs8b$lp{1&#OJdv&{y<qv^Q
zf5N7P9)l4DT~!GFfgT?S^Is&p7`wRae)c2wpQOhj1Lphfc)l06G|HAi_FJpc-gGCL
zC*;~K-BfY+hBZB$`A8z1!}Oe-9MF9=*o9RJXobP(!=w3)mxVPk0ka+Plv>YKRGK%1
z$yZ?W>sAqe$Mf3jNeM6+E-}?Y)pNh8c;!vBPF&}I>gr|VAE)+0dluy7<QATbzUZW5
z+}J;am@Gm(yrtN3OpsB%+S$f_=HTEU_*P{=04PiHeHbH{=OZx)Ag0dd4$*VQOSFV%
zNy6V8hipP=BB!-+`ZM?-Kp^a5D}R{tG>f83RmbCwi3t8Y{eSx_3GsQbjnry#k`JE!
z`w12BoT37tj-~wc>2*I?8OgUGKQ*vqun6GOy8u!;e(nGd{P}bL?L+?k!@SAKNtr7i
zZv$4V)@tWB5Y1;>!6bSsIeB>|&;q~1N{>G;@}K@HwYj+&1O#uAo#_Djoz>A#U9q^{
zIONdW6Xs;9gMI`-L-&s@%2X%rlcoR6{pRO6>q-b*xt~Cmir5gy-{JOZL4cV@^&BA{
zIg~rY?h%4mHU+3B_&%6txnHP9EumR|-%pREk@koEYb;;AoY3*XCI}6oAAv4#WPCi0
z)}&(<7krpi?e46M*j^XNBkJD1Y`_2j+Pr_X6;FwHK5jkELL0Z}wg34R5=($23a({7
z5+J?96p)H7YQMF=(awbx-CzE_G$6y05>Cx$OhQf%@d!0ZGgER-cJ@^?<bp?Qg7xPW
z_(R-q8>uI832%}ZP><te(Q>4n<~N0hzqk&-D$OT2Rd5tHK%LV4;LkekU2~{tC5cXh
z-GYgqNG6ZnnOL4!_$ofecehQuUjeT@CCL;6EEKZ68mZsht6v~IC4Aotc9g27P1B1M
zkGp_shSJ`1e0M<wA$$BZO~I)CQD4d)Fw@=UP})F~&O`ycF^yNE|LH^O&f?>$YB}`H
zeoNTg+yo)Zw~>+E9*1sgHL+6_F!6<0(jpGZt~3e%+0G>P_6_D(O<S-Gqz?;E?cx9T
zcX=Tbv-o7^ly02!{z~}^Z1Q7C<6^aTBHAf9YlrLMUUXU;(@}~?z<v1))pt^A!(adh
z15*WBy)p0J3CbQ4@{b=K?q|uzqiX<x6HQShgUAg(f4brH70nV8C3}y*Pl`<Dmm4)s
zr4NnsD^JQ@!H%Whcbzf~B0r2+)p<-chl22ZJO<-WN`Lu|Sub!_R%ul^{={;UT!TvG
z>;AdTrnjJ|5ci)g4PrkLvw8xM{QdENWnoX=`G01N|8L&9RjjJ*;zy6w<xbDc1gTF)
zFbnOmTwI)-E3@06Ao_|YCMM>t2|a^)){lKoE-tUb-vhC?v;<u?4BvNUACiF-?2@NB
z8nQN!GzXRCcwv`~)`;tmkyh5P-@XAwG4KIu4Cs`Tbpib<ufyWA;3kk?x&=oK@eR4}
zj@OP4#hM2Z-E&W8x7YJjbYgJ*crw(BkcX3aHRygwLta1Yz449@=ES^?_a_t+?yi9B
z=w&g_gC|bs^h?XiE>cmE*t3HgX~W}tV^mL{Yay@0*#s+XhdvZc7eal}quL090ub4x
zCx86zHXAjG<=_Xs_88799$Q^fm$axh6A@WkaF6X+Y~4~p)!rOEBCCdj_&M$;+O7*3
zfs`y15g?A4pO4I@KqLa=i2xSE;pf%+>>CSj*;^{SvS=wj2Ud?oA(2(Cd++zs>B(J)
zKfsR&tyORG^6^20udc2RkPmpkPmu1_?TovXkJ`4=T2*(&YJjBPWK-}3DVLdORm<vi
zX-4&0_uVzPX++btx;k;{s0LqAi7J2gsiFwj)6<jR;3DtW>4FlB17zcGqTy*uC9oZC
z^(Z2aF)lZfNd#105yAS;KR+mBja1l7y=8lfW(O=@m%G(Qv%`GR+5uBD@q~2?w!C~I
zKaY@5LIC2rkM|0X8PQ2XP6~0{X?5yn3126@`RZBc)f_?t{omKoV6Y;t%WUt(I8Au$
zfEFnm2L}{Ix*mT1Y3=Cf=;3h)XY7VzGM&rkpbPAlRV!rzcC&eE#hG>EKT-wynjsXc
zfAyIG6h$8}pZN?D-n(G!D3w^L5FJ?kn*nH(kIxlSOs1c?)d?o8W{Dl<T&y{tSa72<
zRC)>oXxUeOgOBNn)d&g>4wTivLz7FbgEhN>mX%eM1aG`EY8T$5zq_P!JRE$FcUqxz
z9l{yzR3tYb@!s8>(}4#nS>m>{3N}nyXYn@MKqT`cYJ=hA-N?vDKjKTqFJ91wHbc>F
z!eIc4A&+t|68R;&Z?wTCfN*NiylkN-%WI>JMeFy2m>F2~8L-z-KLZ?4PEM{TOVJAq
z7OaH)xA}hP^}oca4lwxpfhC~E13Og%->Z;v{ChxW!oKG*M3`_|bh!;*yikne{t2wc
zMvCKwnQ)|rij2V0IzoF!gDy2#me70S6+rnLcE@d?@o7|(ewQ{>y=q4%cR=^axL9fc
zN&r`ZGv*T8E>J;_0RAd=yeSqRAJ5W<g~Cfz+ZSr^s{54~K8XLCpKpC7K%vS(6WDyH
zs4a>G`rwqP=t*0A&r*VVbwAJst)J}@8#>(I0qri<d-n!(xh2PKv!=4R@)LXiL>Rfi
zfgjMcd#s`o)1V7zkKj^XaSVqV66q<h@BE^KT<kkDz%+Z&cdHa6Q#|)f@AUzdu1Nkc
z2;E-LD#$nm<XoY*s#nTJ0!&6LY~Ua&wX`+!b@DetvaVUMi4_x@rD(AMMrSd>GS5H1
zeuA!YaZerbT(X-b6nV1pt%gh3Zd_$ztkJFmrS!PD!sj1-c={JML4LV|vQ`I$5<A>_
zS~WJl?$|sCm!*Gm2kkGiwNrPj<<{DnBvh3X6BQ*PDIg$F^OAX(vwT!s63q(rtL>SK
z7SbLdB;R!>OCjl@WUfkn_t7Rq_}9@0mGT+?#+vy>tmif#BN(`qEi-6=DC<E)io>aD
zfA?!7g%L5r@!o^&Y`{RV+g5vgwBL1o0`Rj7g7jiFmNV(iicp?Yy~4;Cw96urqX@bG
zeN}Eqh`DcPf*<m$&~aavI&WoaZe9(>6*Ry1JB8Lj19uG~&bCNq$r1?5kWjnsc)!kR
zb<_op-^x(&9Prz|94PqK(b2mR1^q`dVp;k57JFL@ZrjT?{B+^M8?vx7L2DiSbK`k2
zXuEJ)9^`S`HkVQoEE9d%p9g3o<PJ4xG`hO_03?!c$ICb9{>n_S3`&*~2Iw2q%upy1
zFk%R?D^wr>dIq&mMOb5as(t!nt5DF?vT3>i_L0<o3ei}0{-rA+(dd80Gn?QTiMuHk
zg}WB&6wkXk6Pa0B9!&;w&0<rIA!8uxf)57;kUiV>bh)Si6R?&Ix=+|)1x9N<gvh}-
zxJWX|MLOD#f+@jIyC-J>%(y9(N+8l)h9}kxrZbH-=;|4ul?<k`rE^-yh!q73s8MFl
z#>Hg?<viHr$Zj(3hy%7nwPNF@kUm-LC64F+L`H6a(O4Zv4&+!8>8slE?#=a{(NXsX
zf=kOo#r|`<O~F8--gF6ysnAlL;&rs^u`_m0|4YF9*P8t=kl@?vXV*P|=-1MfAFmL!
zyH@WR;}$2-I5X~bg?j=oKblL+ZKYI_=?t!cIq)xb#WL#k<rdan)~a=0*GKjVCObP|
zp&NW;sag+Mv|@uL(6m>9W^(&OAf7afMOY+de}bHKx<lKHt-~?b_rCp_<)Zcg*}?%3
zN@B09uBp+|m^0^%f0vNpHrAL-J5TdR=V0;@k5?=ZR09KLHtWL)D*-TwfhObCE)Wx<
zP$)j*j;rW)t~$-CJxEz8yC7dtEW?sR-xmVsgYata`XbGXMDj7sol#3CZEXf}#Eo>#
zM5LH|dU}EtYoV=DZ|JI0aTWC}k&F)cSU&EWYao&Kgmq6$ar@-#UqDbO5*mv@XV`RD
zE0?V<nNVp1`?iDK%|O}6bXWveNN>7g!AIoHFb&LV-GLs3VO0|F$vr;tCQmcvKkY5%
z2Acd{?4#H4I#_Q3LO1(1u*O*{(g1hMq(6ydV&uIX$`kFD4H^GfrGsP%tSRS$x^JJE
z$MVOP0HCj|ffH1-s#oWBv^zK9GM6-$;#C`t{mH)yvBA+0*0aBl&^M}b1`I1TkN%g%
zzFYv+0rR|PKKSI>vvdz;rKeBrjt_T)=twz3SkOo?4rj4?y_t3mENM|uQSxp2crBe`
z<Hs-rT)PEfC#bB&dd6jlT?=mFbz0SA9R8puk#!-4OJ~(y&}}2Twxqie*<jUXeK#4^
zKj=1qM-&v5p=xSfs&$`)z~`ijP0c%u9!mCy9&ygSEw0B<)7Tbo4;olN`YL4GV6TAw
z8@U$52uWq=JLFNgS}$v+7~GVoATD_<2?isWD%qi5O>)|?3Q0vE$VmC+(e&qF6AM~_
zXmG>!)q7DX2a?3oWtL;ZOAOmp!CbX}z=eN;{6}%Sd4H|$7;bN*_yxAoVTr+Q`6Kyt
zY2ocbgBOW5()X$=+&mwFnx~D;Is_pOn~;;+wsRtJnbXQ}baJwS<fGVIz#a)vq@set
z4KxxWL$c}xY{5V_<^ro3enqTyift>Yd(tkp{r6A*E7Gxb+ruv<4U2~gDi<+fPVm-a
zNLJUU+oFhxhyZYdr-Cdt_z*@x>mT=9_I$2tdhX7MEGX)zFYNvSKN(zx_Wb$Tk7Zf9
zP|OC_k^Z+amKFzRE4ZxeE+arG%X)`fTU%jWo=nB6SsIz8x$5G!kD2Tj_-Ux~A^kR3
z8djg6HZG12Q#2Q~nf&6iIh(It<2nOE1*!#f5NN`sfHM%Zo9zIg$ntU@^rby<<FOpA
z2vemofD8bD7A#|*Yggk_7@T~w{aR=$gb$J;2r6PYo`2B&_U;Z?Cw5lW?<#3KGcfu@
zp>~B~9ehUJ;r0k6i$ZT$1rk}OxGv_v=ieK5HkkYp2!U%Y{Mu_hSSJyJMfK(3P`gfn
ztnBRU^z`Y{0qq_~J2D7J)epp8bSB0TT!*f%V&iX%v)1@4666x?>*F4Zd*ctWEs91)
z8QYA;ezIAvhk+0V&7VQ?4GD0wrY!2Fd}xs_kIavj1!k1P@A~^y0GcWn^rZjpvDEdL
ztP2(Zam<|hT^s(K&p%uh5%D-W*kwsP3slF$!L3SqJS9?{5oR?@KXc@$ngIQfrjnA2
zRLOhJLskyOd$@gTx}6R_tjYS~#L@P>lXy0ShHu$%AL87(&LrA1_{kpIL&^5{6MT=s
z6kTtju^cYRDJzQ+)DWw){`px^bXPK~XAI0PM4c~9OwJI#9?q-<{}<pn=tV9;oaR>G
zl)vSEAZh#Kw_%j*zfWHeB!_iPBrgUzX<iUZWmH<P_1Lcr`e$E(%omBn;SlF#XAeSz
z3WrGy{23f9SoA3{N_*QQR#k!SjIqKD;f|IrB;hR*BEd<MO8WZxdU`*>Q@DA$AIgmt
zx$kZOzA*xUZK7T0HMA~w#mj+Pf}Y+xC{?Xe*WZf_$>H2yM+flSSU|ZMoK6>7N-}-r
zJhrW^OCdiP>H?l~NlpRt3t1`sVYR^*&)V;skf{gK-I)W97E+m==+kqE8O=I-Vn#z-
zw~V>&D(pxZ(y#qk{zMNFYhbhffbXOeu$6p7tqp|}0%xr*iZya28ylMzfWBhhzLiv^
z^(^tV7EuiQzNrC<w@3n&m6?gS6m_|mFLOEC=~_&8r|%47{$aSa*xA{ceAnXg;fJ-c
zxy{4Plw&3|0rABzTQd8ZuL4TsZFx%4ojmTH$(MAz=nnZdOP+9R3O~5M@xMVeBAWnP
zg`7MIp64Yk`!3zPA|8A8oKo9hUHIcxHiYXSQ?gjJJw7@d>rLb}3cC2m;a#f*oD1--
zlD#|=gTJijzhAQ$u;0<hbaQHlvxDnhuLJ3OYd4`qcqN*3xRNlmOiI{z-}Rnl#ZN-U
zVF30}s6HUtJ~pkQ6)Z>zH^07C;ZsvkU<pT3#Js@m_4luUx|W>pLfp;guM)pu|G&~Z
z3rTi;Y9!M_AWL!u81q2jxkLQh>(Nu7mReeC)`vk{agU&9U7bNtMRIOIL5$HS0~hE9
z99UvTuRa|zGB!4ws~6ks;N#iM5KUQw4aLL=trbZrPC?JhEyo~T%SiGZpj;X#Tq~)D
z9*{S*mfyEkI+8`I!ppxPaK%8Oj+n)839PUrk;PpN6_tzRE2E$Il(TDAZwKmT8Gn11
zk?}~g)GYe$c`-0Z0NH+d)((3|yBdinXNou`T$l3IwRdW1eN~_=Rl3HZQlPmDu$f~X
znaI)UpC_B={4&UZQnU8;^{J<W{w<8@YH5vudMD^>xFH3!?xo*g`6nSGB&;(yFLv+?
zFd0xmg@5jVZQ|0b_>i3qaR#8DUOQt>a5G+D?qfkg+kT;YT;v$`uIEyIIlTRzL30Qi
z%?NW<wx4Rj=K`3c8e^nHRTa(`IRCMQVWirncwnjK*Jt7@uJdW^1r?u7ZhL~kt2;hi
zE0t;oU$N%0eG~-(rv2UB=o%Pg=+<5yDd*ySpGz-$(W4!V#d&%`q?M?Vdl@_x4S4H5
zRh>gb9|P*eXjaf@GM}hDg#VXcSjd6~%vCzFa%V5bM7wZDwQet(HHe;a3=$6q(2LPI
zf|Nqx-R(A$+bXK6FHaBafbA7=;gU2gRY#C$m@%q@D+O<wab<SeKpx-%A)$RhHJnCm
zpb5Ng<14$x-H`&VD&%u4A*Skx<4H<hbu1#xiWWQG#R9y>@BZf(1dx}wv=87Q35$v8
zp!y(MK1X}E8b0|nDP4eJ6YV?_`X@?11B<MRpmS%vcEH6rtc}+sjTcx@ouo&-3b?fQ
zEHzv9W@cuF`33+=Szm;kd@RZLqBDf8Fehh0)MXr^V%P3U3`Xo|Jv`6^>~lmUQVP%#
zQOWA5IoN1taj(N*z^t}emOHuQ8Y~0!5SZg$B(j{m9o`=rM*rQ|!_L;$b<h{OCueuz
zKtdm;M;-GpD9z9^Rst9zs0~@pH!PL~4ISRFwr06YV7o^echG^_9#@0(q3t=V@91}-
zm&2a4CAhSi_E^e@o`sNti9<z|75#%PD|W3=7!Sa#PqjGxrabH4*cGj~_}_(zAPEoS
zebCJKXMKuAKF)fjbl~E}i=-B@fS8B@%nBfh6$FAh9=}o0Ps1b!Rbv7I0<qmTMNdG(
z9Vz1zzeDil(J3%z4zUJoZ^*E~st~@0&P^vsf}pmLaFIRv`_@8F``51w5Kh8w{{Uzp
z6%q84JWdk)4Q4-u-$uW1-!W(q(g6@usJ5AE1`}`466PYzknruUS#P#n)QvIg#&b!v
z4cem=N}8Gn<#mUgus0wBT5-N}?V29=D6c<_SKz;EATzqn!ZHUZ@(8kVH{~@GKu%z<
z4%2u8o++nV#RT~Xph#f=6I;WYLr2kqJzy<*;3yD`6;XCbeil6DWK5<`1IhpDSd|W>
z5_ewqFOSz$Wn=*3(F<c^g?L^g0K9qpyU)$D0Ai+aMLyKu&IU3Q<fULIs}D{Dd7YGL
l{{HxXRMGi=<*nYw=dEOu#+-+|kd_Y|IVlCn0&!iR{{qg2cz^%^
literal 112341
zcmd43WmJ@H7%n<|q9UM(NC|=>(j_1bBhoD)9RkuhbPpENe6+NZA|){c45^fKGc-uU
z07G}2XZZG6YyaBo>~r>y^RDIcb>4XDe(w9auKRusd8I0MoA3c41OmCOATO-}fn0w9
zfm~}O_y_#ri!U7s{<`HXujdMZJp7FNgBP{9Z2^Hif+$E!YI&uuPZ`*!9UEPqVqJ}w
zvwBO@yv&#@I=bG9@Nf<$OpzL7`erH0yk>`em?b19yr0d$M)>j{HiUD3!Srj+m*jnf
z%_ihu4;uR6gS-xh4QUFN_r561(XKZ~s@Zuz%-BzbpPE@r^22!fsM|U_0~(5BX0Uou
z4N+!onDPK-71pPqcM!<zo57n#S7#6}SA4Ilvmgi_9quIX@r%HlxRW;ocW3c%CshCZ
zZ`=|nyz<YTVjg0r=~`BXF?$a`Kfk_3+*=@#{Iaw3)-c%iLVGN;TKd@nGgNp*|LT(5
z!~Y{~|DPGb|1aP2<_-!nI~$t$eQ@=o>317_k+dGm@(;xXVEP*SWdd({L^HOpt*sp#
zAT`*I12Ul{VZja)v9Yl&X0X0t+$su%5^Ocr#V}U;?Aw;02kV)0wEMSd_j`ZDuDZEy
z4(uvvYHB`t^5jD?DejfgQh_%&5lG|+W?$nniqF@zH5_{u9xjhavzyVXbcD}(NMv}@
zTK$y48NHD0X!D&TR>gduI<CunOQ&<jy2C}$<I?WZqn0Y|g4;jDz)cW2iYHq_YwsUf
z3#6nkhXl_H1(`A`#9$Y?tP?XLHL|J%kkhMf2X)F<_X2zP9INqT%pN(h!9(nBq?R|B
zqp_Oqja7&#EGlwva0rp#InSP<x-?ur4S2>i=_=K`J#mb5I<BjrL1aE6u%DRDu(~qd
z$Bpx^cEqr)5j2u_*PC~O_(w8K=&7lbl9R`)?Y+ILhizA920Qj$kckR&*%nB<BK_0V
z16vz}^Ye@{jRcDp*;?Le{Ste-N*RWJN6cpG=?SJJDm+|SRn<0G;A<W}=&p0c-C5Y^
zQ9XQrZFtMqv^ciNQOABpAv`;F!`|Q14nv8Y6G~4?B8~Q`o3=%)Us|N;ia5$z-o;N-
zWv)v|u3*Z3+RdCyGj3UJ#H+Ei)5~>pzp=_@!Ev#um|72}74|#H86#z2O4ZZT6Z020
zsP$|Ah}}sU9tN%bl`j%0m8c)IzNwwrB4~mdmKZ+pZ_vmevPCSMwwF$5TD}c39bI)B
zN>=oa9CQg!?C!f$spgb;f$-Y6tRG>kC`e@IyY%jI?j8-#G%VD9t)YqdK5_<4>9#D_
zV!OTNjcbpV6yJ-M?VQE&^T<)_sH%C^Xq9+11t!G3b6_M>)^Xw-I=Qj2QD&l8V?(;?
zQDduOQKKhXA(Q<xUah+4K-qlb8clbp_Jzwq^JS{LzN)>nY^!SJ?U3y9NzQD-eXY6!
zrRV?PY$VYCMPS>v0nC1!MzyM{re`ifP%$Dte`3u;L!XO$WY?&sAouA`=D0E^EcOwB
zn~_>fb9h&P4<+f7XJs4qgEr_HBT6+3beWG%RG0jK8C8&t-aUm@73M@T#G_)&olV%)
zU>@TJ1EUQKCIu!TtseKKy=W~||8*OjKV_mT<onP24>+^j3MyXb%Sf)H9NFUUkz(>l
zBEmMZ``T+*1%sQ{lVT{EcyAk_-Rj`)9*+9t<{f9oh0c%igrCE8!6+bdp%N?q1lGMx
z220%ib!^qmN6^P$Goj?{_kL};S(rvhuC(+Zzq*Dkd3@4dSshELwDbZqP5<?=K6W2P
zR#E4!M&(p#LE=Gv&jH^{AI=doJ_^zS(f@gVMAB5z>ksUFM!Hv6r}WFq(B%q(x86Vc
z=}%h9p(Ne0ACs(=GF;S0Aj8-{fAR1v6~20j8ahhKO*{~-R?TcngH=8sTn~4DZ|{7F
z-eEJgZ%tCRoXNNcnrKvSzVAazCwaH9q{KjwLn?ejGh#I{FP;fCFz`?=YM<whZ={tn
zRpflIeD&+;wV{!oLc8Jkb^X>`so7b{u|+ApQ!WDQ>+#B^+Pd(=+>D*~pDdlq5@-Ib
znT;Cx?hRPO5VLvb-JVXz*jqn_*S==Z;2Mnv>;6~0V0eyle%_!w%`7k0jnbrw4b>du
zCg;P-x$P3572>iwnMRFOWZU2I$R`z}Kl$<P{MCpLrmo-EhtH_~b#lFPq4@Na?r2xh
zB5|+0Q_h}rlxB#|%9Ph-gtGWX&e;J`nr(Fl#U5x6a&Qy)7rDxbh^#+`0-=(RMd<dK
zeAU_3^wOs)+KlPRrSuZq4}JEv>(fM2Qqt2SGp)xAH$7_lWetTg=r2pQRZDC3%9U1A
zR_9zE*QCBiY517o2SL|Lpmo(dlMdqjO4S23)B9X1gLE3WNrkMFgAE&Uapuj(`&J?R
z50wcWk;^*+cfskJ)hJ(6&aRoR)2x6PMutpjhe${Fa!024d@VKxUJ((Wi?id|RFf^j
zi(7DW$HA@eQl+e6gLubjl|9BgufIeP&lGZK$GF^sCW`G3Y38=8-36@$`oBDDH2oTf
z3OM(1dD35_jZB11#sz=Zo<r|?v>C$#%y;*+U4N{y$m#t^@knXOP1#JM=gG^<JN4}2
z?}pJfjj(G!eHQc9ZEBKN&M9h5ksC=^zv1cXXsB%8)}yb-y&Y3K;C>K@^L;<z1Y1JH
zwuofxsjy(dr)1F)SI2B=X)^J}oFDA3H)M(~rZ<W-_lJT8VW>=-lU*OC_@tyHg}gz}
z8MzSMgdDf{(T+_$pP{IgWU}lz<HD%bYQrAnhJB2Uk|42^>=gi6r<uEX=Yw`ZydN~F
zTD*?e+gE(@kG(}|<RG@}ny6;y-kPy4;Ra=DY3Z{jp0Y7}rr2t$W0b?hJ36n(3_@D<
zn3eXax_%?MdgjanOgnBpX77OYxHfb6G+HBTsJw1m`TXQ&A{$z<x;vHhK>(L-#>`5%
z=X!>_YKBCbVh){KtXb)b1lAELnCqk}`tIS|_m3Wqiz`XLWDkxQ<yUUviOZd=n8<Kx
zh>F4m<k{~}8s~XlDcWR)#I#4;lA@-GO)-#lu=_TGbzk=BH{|zR5BZ$!Nt&-+U|?X-
z?PmZ*CSxq^=6{{kpz}<U3D>_SuG*04!|TtN{%G4XExt^8zJ=@c0U5B`cNTi@=#D&Q
z@ef8@t!-*XIgqtl-2L&?$+8n#Pvbim=>o`%(926p#hv>bm)4>3%oDdFPaQ`%O}NMO
zL}T0KwY7f~L?{lPe0~1xSt+;L4cv=8LHwe+Pxz_W&2D&nXhVUtRLa-QE_-HJ$u~k{
z5V@|*w3~aVkfV{Onl{ej!2jU(Vt!9ZB+X&1j<`X&yGm5IG~BpS+0Mfw;du9|qtu|I
zk_i2&lUeO^-wD~b;SLeDYdxE8j;(dx>j?(|4t{=ToYNgV;q6z4P-GU1tw2iAYQnO&
zVt#lm>wQ81MeHR=z{}oTMoT$UeaZEnYYxGzoh-o}9dwX<j^pygz1zO5YH;HcEw)9M
z<BjP-9^xjR)~ka~t{c~lEhHG1{M+&|%{<kqo*74hl!vg>2peW`0f7U8)rYuS?mPg7
zKr(@hqKDG8!Qibm4iiWR5)=#W+9(YO6aqn};02O8S6IR~{6pc@$^RB2{{Mz2m%b7;
z{>_UceE)*gLNCFT>I2smI1jpqM;8^n?2W--inNtjhn?CNUC7ADfFJ+)3D?EOJ^*}R
zHVFOB&dz?gtZbo`kBv%&@eeew!PKE=UT!YV`4ZuFaG>eSz&3MI{9ijeE_-#>X0EmR
z1=fmWq)&gS+ZG034?1pYYvgNzxpPax%?b}c0DDm_t*x?q8U3S6D}S^R8PhV-WJQxK
z^ad%4^%)>=kRV^;Zl&VF_Y$M%w$#+oM;KQ(6pXUye;eEIm=~J9{EfT*MxJ!G^l(ln
za(;A&^U0V+ueVA?T%v~JC)27+#ML1FWoR_V+9WeEWQs3@p0i!YJ#~lZAF+e<VoZX?
zbq^|<8kHDycH){%vgO1<ed3ihH-$o?+A?3Uu&5M8*-y?OKp?kF?Ok?HbAsZY_bQNo
z<;4N)q>w~^f9+uHXyZ@tNkl1~Q@CSslmiu3kco-uhQVXpt;Cc)@7l~w^+rO-m>vH_
zoE#!6*>5xdeBLkCse|H$zUk@e%GSu2MB_F+r0FAQ_GwCYx`?}NdF`0Jzz3fDq=P&}
zpMD=52^GxXz459pron%gYZEyy6zOU;4~XN|5$WtUm0rU0t790tGsWW}{Q3@rhhuI3
z1RPVJ14SbFgoX83?%&WQ2fzY^t<!facOX(KtOyiJzhF4#<T!OPuj^IF9z$D^fzmHN
z0Qvt1iVtjxf`AP)EuGc>eb`oZcd=T7)8XPRe*MF2#}O0b*S&9fla!hG8VT_rLWHBA
z0Qaj6>F(~%4hUe<X%MXolb=3dD#QKL)z$SCSPo}5935<I`e?f1oo@b-n!T!_a-j;9
zJHBynL3slJ2S6Dh5R$<eM9;H1BVTtF4spd8fbh?Yh#-MaKI8gACyRC`RT#P!6{eXP
zMzGwD2idA3y?QC|02maFUX7&}RN(!ne2xZ=ancFmP@xx<${^vVmzjI+f^fA&jk3*z
zy^b-BeExsO0rSux0G@GHMOj%{H>-EVr#hv`g}W?HgCUtlSZO0V0V@>QBn<9Yzt-~(
zbk6BFa)UYDYc8m`vgxNDw8VxXlQjptO_|Ldc$W(iZ?Gh~R~<@G${Wm6%P1bUEwUFN
z_=glYzZ|d&*h)_xLITevaU*pKDaK@79Ur*x!3aZdIpNFzLX3BXWg!r$K-`$YR=oSD
z@fz-g2Orm4aQsiVm@jNm9oLt{m2q_PgiE4vbPCcG0g0-k4ElR=;!{2rK3_Ex({0(-
z+PZUm_J#=eqQJj0fo*iIMu#W+m=eR#_<<%y_Dq^&tCcCfT{O56XTU~}aBm`h3igTy
zZJVIuq}QUxWSA_f|Dy&fm?eicYkw`?K&?G!UTD$9yUzmGZsV3Indo{>QBe^~Xl>QN
zt-O;}BWZpWq8Kw#F&IqUz{EsH@itN(_g*Sle6RH!j~aiN`lR#TMe(DaAO$9Ze`XF3
z8+fj+d*H4=BDj~+(lLe*)Ly-Kerj+ZcZK!_xbjS8K{9sXb<Dc!Gu&^^)^}%16KUJ}
z`7PF_i|Z0r_e;iRGI3XCc^);IbCVN(;@gdR?m3p<^GrW?NhI>h(jb9y05ux_&@Mna
zh*}n`Ob#J_&U_D1OxdqRoGrW;5Ed351-6ZIGq5{i2QkGMV91I_L`|)q*dug>8BpJj
zlN0s^eZRe;a*Mz<#uG=dHEJF?p9(gxtLv^_4Jm$o@Cquumr_nnjxVX}Yr)mzn}W%o
z<|8&Y!yOEf<~eaTI}TTl2YbJrFe)17qH)ba?%Wb6y;}GGcS6elPT0Vy1H@l6ei)Ys
zrl|Dp#sT6ACe0RMt2gph>8cNB_;?rcL`}{%Htp_HVPTnZOv%L|%yZ)YC;>h`P2gYt
zGZ+Aj&iZq3$nhkK+eb3hJu8H#J=hvWk=<RiTjKPzec<fOPb7`*zgPev9ciSu*!P**
zt$oxZ@PYX^u)`4f%ymbh;fP!=L-m4!g8%dci1SUnixpe`2b7dKG^z(#r&B)t@~NZ6
zm>^Rj+&%`!;iE=+qk1f}B2nxVbNgqug18-jct*k1hFA}Uz}=oIFl5?|*EL~1S<WNu
zuAccI7YIdhbPgb-(V4*GbYo1)8)UBL-UD}K=eRalk=o$UQx9cDQ*5D^uVs6AwSgd$
zQQ(CU;o)M{UoDEd<J4<vrursp{pY)CA3S{MKa1~+dwt`@9PLq7CvszKOfPzoNJo31
z-SW$Vw43H3N1d;wF~C~32$7WsSM31=6;)wY>b0}buDs+?IYFL(NW<CrfS#T^v6Hv~
zw*rm7Bm<#qyh&X^{A%J^-}hlK)6*8IJN@N?Yby|sp;1b@xr{>~6}T2i;D>OPb=>d&
z&$PGomvDlo3Ul7+8XaXE6UduJcW{rsA-OwC690%`WMm|{J6Ge!%$!iq=%{YK)&Rf5
z&#U+fnZEVUS)VmRe_~>y7{jDsmTW1JQKDTCIlpc=i`v}BpiQdpGj{~X6yBTayQb;d
zdn72D27+D}Bn;O}NUaq9(c`ai`o_ipTTxQVu&QTblDX%g)vr=gQ)#KGNuwDR94D)`
zJ94ThBRra5`>mTda!33ZJG%2Ik(&8KD=RB6GOo;XYlUD-YIdm`$PT;l?5fOP2x4l3
zi|y1qzBl+-NG%|3l7mb+I5~$g?waMCb@9*5xv3-W$w@QBJ6w0Aq~NA$ZT<6yfNb@@
z?M^yNf^w{!u;w?eHgoc29;Uf84&j}$=1?4<ES_|pQd)I8S-iaCV=SVmk-QXkwD@u=
zB6reSS~|1&)|?-0C2Go%E0Jbp5H~^y9Vy<$S4?jzR%U*!9$xsU9iu;q**7-na6)zp
z3J%m+HxFegI*O`ep5zQmQyUvnMC;~A>zh*DnY(rMyl)@`-shdp%wQT**U&lSi=r^r
zV-+}~77UJ8l-7#-LQ~XVoH0^ixA@xu%F3D(!a{0#fs;ZY#N7UU*JoAsNIohJag9wp
zdysN_cSKuQ6|fCy>BR3d!~3qBmEY~6a}YAkLnsE9!-Rd@V}XBP20~Yq2k(<g?P9UK
z{Ay$tdXdE#q=QbV*;-xNbYx<YU`wC)g!NbuMo5({e!Ky7Wx&2*i}fwKR0BsVV0Y+A
ztzW3XVWyj~C=_XvjG`FxQHqt9zLygw-(kH_l*3F}(cZ3*+jnKxTV}V<By|8n6cC`z
zN-B5sY`XQ-^JP`>C**XneLJHf2>Ae;DkA2Eeh3;UR-|fX{1|FtJl#AV8XD62_G)zh
zLJ<(5;Z?WykNVuj(^L}`pH3hTvA3?e<%9>Oe~^EpIfP8XWg}iGC9<C&CRHQ1_!v2z
zo<ZKbTT<v@@GUsF7}H|bzbiIK93zy<Q7PAP($)2+xmj8yZF+wxeVLP++c(`42Foit
zUif|T=MT7q|KtESUCz#TXFtCXNi){f{bQ*!v4PZ>IG1hWVT(8KwsiH*ij5t16dI#X
zRm;&xsz|C#ux}EA%{8yDuYYi)!T*J@L-#b$U5AaR$!3m@@LOOubhw<va|B`;g+10s
zCBz@&TA1wyEqrj8U{*~H&iszXJXHYuo-KaBz0Q!UZF^XU%RyN7N$_sSmmrE!pVRhF
zjPZ)%V(&_di__uaE={(~sVKhDVn$_NW5a;`j^Vs)@NC(bQDn*0wpoY%bH?*bg)gIb
zW-3N8hk}B_rFsGY?uDM&+G0$62W}4F4rj%gEVc;!(y~eGwe<X*(z2Sr%`Gh{i!N#Z
z0hF8gcmXS8NdL2=?X+LsO+3I!P4!RhilN<4=MR7c3+GD1pcw8oAEy~@Z!R%^I-^13
zMh3a_&p&66VVASD!FxV+@$vCBu2s1<IT|*$wrr8+r0OI`H(qtT%G@uxT1i@b{3EG?
zDaV;A*!*vD@~8Qadf1=2cYB5}X%YeFqpGY7R`F9!y*8RbMGIbdm5Ok_`)}W!JfTRC
zOYr_1>h@ki@WGhg;&cR)NqvPq&BkHggXCPCY3hc+dOI~`rKENL$AH?d2?{rD5x$=t
zDKY>-Mgc{sgPqP&WzC}QV(PFLNcr?q5<U0cUo&=LGtt0D(7ZS;DbW^z!XmC_)uWBz
z?Ash_b8YPh2DRbg>(5@{?$5ZNOcPPn|E0E6FD+Lg+rAeAcp=ybL^}G5Ll)d@ZER2P
ziORN((5P|!Sy*_>7XM&<{%V#yfESL^E<jXNxcv<cCClqq5FF2>v3xw7pD@B%H$k`*
zC*Nw=`^6x4vwm-8yc}CRh7=bZD=%zBeh3R=V6a+hxuVI6IlL=3uc9F?l>Zx?Y3=QO
z{F{9Bqh_6T_OP7;{}U*eo~0W@EzG_m7BS-9?HWF!E#*}6x~(7X*501|vW;i@TzXxo
z=ks(T8n@4ucaJ~QKDt7vR0JRlgk}D5p90`-w?xiZY&=X>x|v@kS|0uWk)qK|s%xQ=
zc}_~mXr*1g9mX}YHd-Tl>=O$QXPxKv8X}M4%)BiUI1fqaZQPLGc!ID%f&Xi5&9-3p
zUbJ=rIew3RQ(w0uQ*5b2jmDmBw=wO6sXfByQ@&!|h=8Mgk8DWUzC3#Wf)!>Ov-z=&
zi;Ihr(BQwMlh99st)`CM+5(-DdKXsJIC940LTayX^`#qeL;+MmpI-igrP}tFJWo-N
zx%E;CJ;yVYr90+Rsd1M7WbUl$3rpSLD)AQVY9&bI0_hbM^K)`?bhujTzK`F|i?dGH
zWC~esJMNb4?R(j@vb5_>non`=Q*KA|P->Sfr&TdMc)>-uvuqQUk-);PaK@;hdwvyM
zZ<65!upsm~XAVCIq3`6LwAIRmJegb6bS&5Di;$%Xg3(%)>$SmX+e&iJ<FaxFE%kFA
zwpBxOF#4G`<5SG7SB7@yevrXujl99?Di&kIsgOxytsnO-GAk@s6jFs4?gf1d{*tT5
zd30O|EG<0Cg7@Hjb!x~5MUkt)`X9xh)x|&hb|3#;aC66)&G!7ue-|_p1fc;>6Fq1+
z;~7J~T^Gi9OdET<NP=)YRKaLfJn71=5|fH>u{7>j+^Lti>cs5E8^ZHfKIZqu$87rf
zi^yrY7ZTWHMIE>?_bdi-EvOlGhFJYAEtyifZ~TgPEqU(7x!#hc9z&sy{A<~DTWS}u
zNQC~wzW>7IG%c8x91Yg!+#JtL#`3}ManoCB*<Btv&ikYC+!?*gyGe#zIz`&21|w-=
z-UIxJK6RTdEt@?BJzYu?85wD57XL**+P7e2T5Rz>T_pejbVezKlzEQ3tJr7Rt%@6=
z`I5pd^j6(a@adZ1QDoiEpMBQ+iaFXPXiRStptZ+-5}^!DJU4c)xJY1SAOspm+eS@I
z?X8G3u5&@qs2(Y(vrY-1o}QMO^V3Y(W0BRhf5VQfmQs?GmyWjQMVDL2!&;0>(DnlH
z8UWX1`&!nsGXRxowA7sT$rbd$t-r2{sw!JfddxU*rry=8nHsXL{-Q+{{V$l@UJvj;
zLu^(nVG{nfZX-T@x^9Gy*8oxsfH%L%o5I*7Q%U<T4(;mV^x(Fpq6F`&tA%;5!anT_
z{3FvGoAFZfHborcbTz8%x2_F%lBGv3nEYHtGlb>oJ2rgDdh403^8<kF0H7-eT0=^S
zAu{DxyY3WqEJ@6JnyAzUzxnli$IG%`5)W{;KN}E^xKn8_ASx>Ad$PCcC*h>8`t{+A
z-uA_fBASOaRV)AjGH4VGb8#t(rcNth{S~Q;-Ym^!g1{W7ae9Q)i6DWMA0cq6kET>@
zu(-Ez;}%a)ET!|!ciulzxQBKpv$z2}xac&q_zYtMIvg=Q{7PsIto#g~VN_rM3XU_)
zv9w!`)_obpeCZ?-k!M`$3Bk><Gp~-Tw~LAVb7tC?A>d^FtGF(iDTrbX<v4*1UeVwC
zdb;An!H~-Q-@M<&yWrtb;fq(KPPSUzJg-Ae_aTH*x<loeV*3%+=uS6IenhcN@_Fi&
zXA^owu=Tka;LIfN_6en+rKu^$)v2ouAS)*)ldWHro|KsCzMBs7Qi-W`-)+ARIR2@=
z;MJ5B{iUjw%G6?W7fAzfmD{kIw)vC1g>+nwr$ZLN{}B-pi!Q>XtcjfwvS6+c3Us&*
zGot}pTFKqa4d>J((a67V^#>RG8h=R#LK*p0QgFhzH0lim@?R}L-e6EET^nb#cEeOz
zVMs`bOLeX5;`V%-j*d=-{&y2Y!wDNPKJHI1O?`ay(MfSvVe}@zqpyG|1IRSxh~5=5
zLO*P4f6IHgE?j~++1uO0fg9=0L;svOhlx)wAIG*6|FFl6rZI(~kzOD<7kKH5kH?>Z
z!UEV3T=6QP)Vg;4r=0z-h-xE~2kteb_hi&T-Xv3gutJ%sskOE7?&B+QL+&MQ8=!j;
zvQn&w!7r*HnUFWQx(6Y;wnc#xR3L#(+@YCv=;G=EDF0sef)|pmMbYVIzT=ePUV2hW
zitnInFdi}ORTY5HnYND3)G+;$16;&JutN07miemXRBy>}FTnY$gL$``sO+O5bdgsK
zDNu@wxXH5IhPu7W=t{0A$Q6;Pp^@o7I5>c?<8NtS)i4A~6%Vem<PahYX5yzkwFVtE
zpfe!Z48#g2qW{`l$YfDmTYmUt41pe)zfvm#D<iJZ1g%SQ?rMDbHdhvwfg!~D-0lFu
z1aYGOACK`Sg$KJeO-1=(@gswsV`!bX{u{0oS8Tgb<lwFK+>GixcIEKff>v4?z*es1
z-)=OJ!|6wmI}Q2ytXU^rMXELk%@rBT%nF`oYsLq*=8UZ32Kic4?{40axRR~FoqiHf
zuyZvBA1G*)WX#y0*{#^)JAjY4p-U538T?;AZ?%{`OX&s~dyj*2_4})+bk#iect!Xp
zvA_>kN+5)m9Egv=Y$GCWqwYeY-v5_X_@C9N|KQXAO0ark{m)rPN5{-r_srRW)8&C{
zulTZ1WUdYUN#AF>i<rx!sLP{2auOhQm8=Q`G>P*z_*omkP$r>Q;_aKL+ug!jCg*E9
zmkVka3q>ZEi`?*I&5V;cjUO8MfLR*W`RwmzT%HLw9CuTi_`%%V_O^$ws1!)4@IToC
zRRD<rtBDea)xGCYm)lT@^HnwI*_`Wg&-o_yqF7@s%;anih`WoOiIkL-838A&>^j9~
zCnc9B^+QBp(jkq;50Xib)cn^#qeFQo@PPec9r}RnjLYMUHrUyA6#R@Y<5;<25ipLK
zvn9cq{bJ8^Ov42xDqt@w<Fq=%w{{V?Y3`Cn3q^i-^h!}L!2*aZop?c`efUR}z|77j
z8qQOK{dQtAYHR#WP5)BDw<#NT)3AQ?G&BDRfl(>g(@LiqM})p8CrA$4+ZXC`-1*7&
z#_Qp42z+x=xOZ21(C^}S8M}J&$>iu0)^Ax9diIy(rUn&g*x9XOVgo=JYm9}a8n5M7
zn~tzTu#48x9zJ}S23WV-yT&cyk9Ze5i=7O-;^G@ZJ>o{YySof7s{=WBakxdGr8cGF
z;^b^WxXzCq$fL4C)+#-J4;8g`rtGA<i5RiP-!Ne0al2z02;wP&Mv*oa`vW8+%j)Xt
zFhnN)`@<KLr}e;w+B9d4Z7TtEZ-v<>TMDFfzvWHNy?vEBp><D5N$DTye6reOeUf*_
zrAKet-t_e3fZYzM5_ogESc+;^yqAo00*S@0MYYSR-<OHDnLb^IUTjBQu0&l})3Z&I
z0e}j?yX0L%!`eZBR|Z!1y1JABs<yTPLl9aU-$3Tt47)8~6o;?o5zmkS?Gc;7M>P8w
z^c&lTenhZ|-SIb(RvxT{){!J?7r4*2MudgkYp#C8`n01Dv2_+7lwV!nfD>%oM8vOD
z9A~%dl5ea_bC_!mL}VAjKAOsdz9#(bDXn2k?A&RUKJne7Ii;M$exfu!Y89+6-9-b=
zGjn-90~dQ<|3o2X66KDW%N)6t=i9HA-g3J@*!O(6lP1#D&eYU2kQ`KDTtZr4siv2O
zxOf-!0=+LyS5;BouojERXq<2-Xc`8-O=baTAcwu}dWMGgqe0qg<K%bs)sfave=u$r
zRo*3sw&u@d*~uK3x^j0I{P~3G)%{7wN+6vaHXv2=%8|$=)TXKuQ*0722YH;rN_D>t
zCK9qFW7!eDxvHU99bIHIUL0nOC)WI!c&k@zH+){G9(y@^6MEG5S;EZ|?b&c@M0$J-
z_QWqOq?{qTu8Jj~tW)eCmBF(rH&}n#7pfP5CBwGt?Cg}3PZig7Eu@==45d7Kt8_qO
zNmf?&pc+Tth!wxRa%Q&@6oIC;qc^E-W)8{&-Y)P_cb46FO~;eHCrSD9(4~6vGxW@q
z^mr$+!O!zFo?YkSeCE<fS^}5?Np6|=J(=iW#`aD6dd80NYD=hl%@nA5(J8Usc!S(b
zbG%+&^ai;E{^p~k*asIJD^ImI$=YD$W0Rw!qmz^N2z`aJQ&hg(zl;i(Jv1~l-Ijcj
z^K~db(7VlNyu4-;9_;c{Yg!)!r>j~OC!Ad?Yo6A*B)HDLlXE7Jo0VBmyWCT2*e`PO
z-%Xi0D`+?=fF6B-@(`Qb*sPLe97)r*(O+zR&hXu=mZUt2TtRU$BvUlNl9$vDZA*ix
zf=YW|JJ{PBR%MF(t)NfzkT4(S?~dx!|H{QR&30daUV`-nE26%>9)XBwRDj!^^X-~Z
zwH_ULA@uz}D`g7^3Zl_yY<>AvmSKK=9=m`9-5!m<(y`Gp<C1-a8I^mw=$0rq((dmP
ze0+Sd?Qd@wJ>l^SVrp!-IKj{#HQqddZvv%pXD*C;v#aBxv*D~0=eZ}VkHoRwy@~aE
zIWwnqGp9|^vnFo8zeK~f`{M{Z_4@#t@7S4~j@P5>+khC5bliFwP(;mCed_B_=WS_x
za152s(aIZCh+A!|QC>fcRn(pWdYfYY%|+*&p@9K_BT>#W;ODq(nS~rBqX}yX>XMUs
z`1)w692XYs>V2Q{-{hR~9g?XO{Q-NZ6y9VtCQSPBLukNRG?o~Eg_|(i<)M5{kR6}s
z@fGh?ifKk}n3W2Nh;%INHfB*LL+EAHi?n@TDM1HjHar8CJ$q7xchT^3G|o>ZCL}B^
zElC`dM)@C<XK>ypJk{DZ*JO(yL8AvP#kE=<UE~vI2vj;`IZSwPRVpFje!qFN6k9r?
zrw$&xRy2#(_yOR<2W^pITZDGOeuqUKY1h-W9uFq*e0|j6TD+Z_LeVRhh23Mh??q$w
zAl&Md=yuPBuz1hw$QW+O%rA4Bi2DAhuB$u$`r+2k&v6?2K6U-pKp|mN;OOjF-aWgx
z0hx7HieU`RyjW8;LdP<0i}mh`O#`1`34&`9pH<wrL&wpFx~<<t+_hW3&3{-0Di5Z9
z`QpWET<yG=>=f>$E*X-qG)pzXT7C=?9pd73y;d%h$1ZD+F~eluD+-Unyirmjw0UY`
zr%!(~4&Tb-=9>PqTuH~-=;YvFWEkhca~`|L#lTQnHt~18rKLs7HWqSOC8O>(-+CME
z-rL~uI)oA6YbJ)?THgR$+aLNxcTg`tt;eC?OoPWpa>K<Fqr?h2D%6g7xh9|CA=qYV
z$;oq6!m}F>k|9ww`{<9D6WbVjBg4rx!Sp1`L4GSs%LDHtBjAqtiJSVwqjeXi7Y~yY
zzM!0_T0iuB#AeXYGv&+YV6pr2ewpE_dAt8oACY9nxfltm=h824!foQ-&NXj~afdSW
z6u=8{lJa>X*T+&@pJ@74fX<TN+V4)nxkH03^gh3_1qM`Q5W|QrF*!uTwN&?8`BXF;
z_yz`VrN%FHKKE8*i=UJ7o84fjAT9tDi-UqDLN<RWVt$mr8&FdYic^Eh4L+5@(3Z^N
zVb>8^=2}mw{=({91r0XwE$GTc(3Yb3%A;4Dqz3uMF^o>0uJuBZ@fsmz^l@kA7GX#D
zM{Pg)t*eS@q}#Ox;{=(^7!^eV?mum>zBFD}%Uk9HY0W#aK6P~XlD`ge%l2#Foy+!@
zRq7^%83uygiaEb&AhQmSD~LfM3rNu89WS_mN{Q9MZXgqeHaqf9L%UVc@58I31u$wE
z0s!XF?TrgcxOvT1J0?qe8XX9ny=}YrJnelcxB=C85Yc*!E=HakU69xE+%hM}e}_HA
zr9kWe?T=EZnNnR_mJ8iDed5zWK!}_P$#kr&xzv<<_e~b$w|;V9002rxx?Sx1j2AYL
z&Nf{%Uyw1YidmnEkd``3@DM9`J`Wl4pNY-gq}KleYGnRi)5md<XBCZoXS!20I-y+O
z@(%%yk$3P~_M4%Mel+bLh7VPgZr&Bci5H(0?&34V@ManLYFZAF-fG(VD|oBv=cVj#
z813{=JW!E9*I`)>>P>!VA(Oi;FB|M9JVIOM0J}+1eFbtV$;kLh9sOURmU_%CW}z^i
zZx`?xx}qO0)qa)%8<UIiLGYIgo6r2fUFn8*J%0L5($$}5-+RiSu=DT3yC97{yB~G?
z4ydV!2fA8PSCf^Tgx^Ze<&D|LAe}uvK0YO<V!@jf5^_s+9o7u06cSHF7u1xM_xL6Z
z==tdB>EXRK2HcmP<?Dv7S<x)*!7Q3sAcklj0?zZK<UZBIhYkWM3Dc~iVRc>{;e3kC
z0zNjbgF}XGFgo5!df&`T@9KQaU&jwy3Ex1SF4X!afCM~m6!Z0qkfo*l(A&km{N3Bz
z+n+hiDjg=sS7o$E2sg3&3<h*(H{O6Orh@}#ahhv5i}`hixgd``M`Nrws1gw7<t@9Z
zcAc0Rr0@Vst24%W)WB#l|M7s1d7;m{8>*gy#PcD{={(&Q=nZ4T_05Wmq{J(3ar%cQ
z)jAmj9V@C%0KMks%4(k-u65OdB7ym~sB*{!jQu{L)r|Yj%@X5j5A5x&++yKeODb7V
z7b5Qf^o7518i4)*K`cLmebjiIP$rvle1ivZFKu583sjSu`k%TSNH#0M@yi**QZA_Y
z^k$F;v+`I%eEZu?xM}5tk%58cexemo#QUiU)~tt?j>9JPoLEpNR_odrEfWZRiL9*D
z(bfj_%T-l_Bf@+Q!XV!uAtABF`NCl$JtM<O0O;9(_o@uiwt+>(`enx1B!j6+Q_a(N
z@J>fx>bIChXLTOP<!FpePAVJ7rp6%YH<Z6u5*MYGrhB8$fJV^Ra1QuEv3`+ukv3m4
zH&neiCtNV0FfWI4OerGKZYSMOq5<OzcuGZe^;nT;XVH!{(uU?-^K&+Jwv%U={_!dx
z@kTQcPyy41a2>4905x7fQG0Wk>oQ(6UL9fR=;*jvD#qzNOFA1BYFX~RyVM;P24v+U
zn6NsM>6=4^ab4MVoIO|vFtU{gGSZ<fW~I85yA!s_2|zkKK1-jWb^=vXU`5z-j8R^~
z=9qxE@1o||lR>C!nJ!0UWaJ%`EO68{SA`rGUa(VUfD)w#ES)(j>$IQ^N!^<dW}mBw
zf+U7}jz~S+;*{Kg<hIdqDJe5b-QUvB-X85A9K#4|cyrU^H0n-$l~l1Fm3^yjaT<On
zQCX`GuOA6TUT)K0ZeuStvBo~DxN3p?{QQ;{QS%y5WN@?$zp$D>!ZDQrcHC>tq5~PH
zZZLJblXA&2vZx5-IKsK#1v(TNBLa#!1M^>$NP^`BQj9?AWznTb+s;Z&w6hHOG$9BD
zB=8!0<h*f-6%A};2aE02OSfReB`C`<K^{m4ZVnE6M@NBF;8#dw_*K}KT+GeQNs_P8
z%S3CiS*+K4)&;wS|IuU%We~_|>)%_!3-I?pH>W=x4dbq_8gw~CQh@sbD}#fI({%rX
zvBUbqI_!7ZT60j3P2BW|YchTs8~nN>OqSbFkDkVk_FqXaT1BJ-Jv2Z}A;!2Q4_B;#
zbjSo1xi|Hoss<;UF#SP(r7*FalN9z1pNL`%Kx^QD(K3UK>QWQ@^w5_cB~{1d1h08I
z+vhbpMnVG0t++3DxEqe<!h%fCI!ewuC>xGie7XL-<;^&1W|m$sm^m2{Eh5G0mY{(;
zCs}ri?*i=!k%z;CwsZlt2id9W)On$^wd;Y8@3p~-v<-}n>p{}KJ4LXvvQijtk7WhB
zUqDAoeXn0;;qP+$#$-oXq2T$3Q*y2;Ro$P^Sfk?b`022&dcpJ1#&3JUco*y@#~n)C
zb#a}G^`}$Vi$Uo5pq0dK(rL-@)@LXO!_4Ky;f(sbQKEB`Qbms$M<bhDAl}uMJjVkc
zjFbYfGj3N>R9HAva^BFLgB>ouC`l1?ss|_(aR0uXzuRka7J~d)Zxbt{P0hTbZS+Ry
z(pR%=^uN7&r8u#&QC1w##L1FVO7bkSOzv!b4SRWkm09S$Sno}TUmV{w+FgiM3;lyB
zX}GX9`N#MB<>MT#8rt8i3_%osXg<4xcs5yNTrz`lXV1?l$o2hXriPAT>8DAf=l`%5
zA(Rf}rRC+8*+=Y&ohki%l{L^WJq|PCe#LQ<oA>uS#*7X#eVIYcjDC@oT?+S8MH-dL
z(+TuxY3VS#y|0b$x|QC3NY*;(wX;t|l+p`X^ye#5#Xx?;$)$7~N^eLk%E$P2cRCgw
z1Rrd0)1p$c(7jzm4gR34N_kGG7!77Xlvv6Lt(mWtujNy7vrJmO0)_g4?CmDUcsiLU
zRGz0Umkjj)2@q5qm9wqg1w6$L&}knL#qfS*W``TV#~)a7F9&&y!w$~)0eu4K*3nv@
zFBFMcRuLzSX6fJW(BsRa3~Slnch3Q$IRKd;&O0@TI5&!$1!CPqc4VdDcV`Y4BT7w(
zwZWGoi!MRatfQ6sze>|`$Uwm*B8fL8!9qN;X#)7a7j7bHi;Igap`f-bKuPCqjSKP>
zOIJ@%eLQ)me}pU`x@CiPaIzhj4u|Wjj(6Qe9^SDPZzgW?nhRl0AkIQ#ro84S6r@2}
zmAwcqrC65?#hwP#8G9P(uv$>bRvT(7x@%xDR-qLR%nJALC5yB%a2-s1xt*QemDK4&
zvb=Te=H!!H4A4VMOG}YRkn*H+>jvl^9zvjLcqce1iF(FF>~P%U>F}*NjW}Htg|Ows
zkdGRdwG+lu7^nk(z=sx~cwv6L+U181m&btieP$oQ3PF8t#KIVmP5_RnZF%O3c8@(d
zHiIQTX_n5O_1ZY`_Vi1Iz^g#|4GNvH<_7@-swx_($w3j;GMBDg|4Ol_q{PYIp3&3)
zMPG61u)DvH4@!%TH76l4F{L|qT1>}d(*ALu^!^!k*f(h-nG_!i-&s(Y?wAYqYKB~P
z@%8$hPRv{+!jBU(j*~LH`<~-uFqs8^tnbW|gdlMsBjIXm>INJu<Hu{OSge+0q_0#D
z;_@gkCVn7_f&qot+c8e9R(|m@bn_9OXc#$CHwXY#YIQA1p6C9~?hc2ymv3`Mw;@R!
zY1@FN4{R@#0f)<g^hhEiMjMrqYXb_tdJ}67_Xlf6gao4<4to<w%*y+HOE)bNW2Mpi
zj0&JyWY}j_+NN^=>j#9el5COABJj=7#N_1Lp}TU;Pi`Ek`OT5dTpUzFFOPfSds+12
z-a8BDlz!(JlS`m}8IT?io171OYCSrLw9o^IZ-Vz<CpJ`7Wl_aeyh&PY!y6ue+BWg<
z6F-S<U)c4Q_>B*Ww606eqKX})MOXble|t(ccA#<Ym!<0$hF9M}!K)o4?*(`ILbc;H
zqBPxr|CLjtB$YE>ad2?3R$W-xZ)Rq4a_GVG5@8DKZqK`28$S6I$&o!L$A&U9y~ugS
z{awwLR#hJ?AHO?CrGIrmv7@+LU>oUn@a5l&@sjg#91kX<<f_H`V^1fSB@Uyb{IX}j
z$4CKZ^YrjV;22NP4aIRMKp&|Z{B-R%64VHv!VkopV6alSqTfuC_cIk&TidnAVNbyJ
zdAA74aM-M{0ei|l2hUY7`#w(Fj!DY0C8-W>4H@ONzNk126=;r5&*t&>Dh$e#8_&5*
zNL^plS%8N7`GOv4Qd-*7L`g6nD3*e4OzP&A$4-0Rr{%^TikOaK_Bq7czf7N}Je!bB
zEq%#N{Nd54cNh_^SrpYQ&}K#|>-Pa?G;9bsAI!Me%Y&ZVkm~8{qkOLeE}eJrm;S=k
zsiWC^)_Z!mKnGOz$gvF)DTN3nOLH69PWU{DbYfBfDEdT)Ek~@EsOi;Ug%(@OJ69kW
z>UuKOb#BH^KUZf^xJ<4DIS~-{pMS9LAyHEG%rjy|^s}SBrK#i{iZwQr;(ry6soy2P
zt-{7y`Q{Xz3`RBPQr-3ARH|uLjI@2C23!6w;!OM8?~6p*$lT4M%F4ZFUwb9tzz<9P
zd15#XU@_6;V%-XQiYW0fy8KYtR8}~16ftx3o3g%<Wm6JaR<_fTGa4a_`a7hWMW5(U
zx3{*KbD2>mN)nUJLDqIz>ol!**gt$Y#rJ{tO>bbMkBjx}yF!AsO~UuVcJ?a|O6>|m
zR|1;MWdw(y(o*~{E%73Zh&@Po-ond1GI;%>y-hsJBX_9msblh5@3mfhyk~s_)Fsy%
zRp9Gmo18?qbbK}(pR~V}B0eR)U)#2OHzumZ41Cs>EC7XKg}6x;<QSrRdQ@M(R+B3s
zeM#`RBH1~0>UJ``)%9BBv$6vjtSLq5t=^P@RyHIpnMyh@I?ux3nYg-j&DY9G&neU$
zNE;F&pPCYFr<7~py;fOpk}aU!3b}aBNL;JaQQoNOvB%r`td-z#WbbkK4!<==o~J({
z<V!GJ+EZ2AUJc$Ppn$-Sx}5@c0nQ(-bTX+njFio4YHCU}@)%nqU+S~5!j+L5KcaSA
zj?q-TD|l{ym%}=FNk}zcYuq=mO0s$P=}XB+&m$i!50ii-${gf2ZV>$}p)XmBL}F;1
zl>~^d1zP4qoL}}kiP6zNc#wQgrU~|=%_IBs(`Mrcv8um27tZ;YJLT&Aj)otMX@37@
zL@zTsuHN&3{Pb5G%pwf5a?wO6Pmvj3T7Tto3D7To$~dtn^KKb-E+(Q>C^Zl*%>WyI
ztz+aq{F-^@zK8{J69m$x#x<je4?!l5`o4KLPgswI)|h-3Iyc_h@vG?~&zQ(yeyjNU
z^_fA)-IoLoEO7%M(@AfiQYbM+Gf2_4MQ&j9U9P$dNtR|EBAd0G>Z*#+2X=Q_-@EI_
zcu)PcyOClrCn*<pS=;){%NGQ{S_WwTofje^B0?3{6ca&0GZ|ysm6=>8!#|Yj7N*j1
zQp3Z!3}ku(wd~2?THD!)zM}3cD2IK~2>wOZW)ZXTy*yy)XHVytD-8{l)Ti6vvhdqV
z`0VM$^tIXYB`5@s0P-qdtJNwK#W#DsW3D_Q<6H6Jx{~Xv+c!X=Y={URf4nPV<Wik#
zN_C?a2Dec&<bOI%MD@(DdXtb}d>nZ7@grXj3eoFC=%!=cHYd7$VZ1h~CO0w6r)Pk<
zu*Zj5=t<rU&ZG)!0p9_JaLEC_49da-U?h(py@I}ZW1VUf31Zr>Uy=$j+TKnK(O=Ti
zibg}bs`YZlsmRS<<Q6DQER&Ufu}Lo5kCC@^us4b0^LhZmYl>1%l5*$$?Q6`HXm?%{
z*hihS51HN-(?vM{fpNdcBW;5j$j$b03+Vm8htO_+2z=IB`@-FXy6&?wch-(8s@NP7
zg<Br}xPf24egRdRq3(s#LP4x#{9<u&u{FPszON^3wEV}r8t&xWecmWH6SuKQNaGFo
zN4`(kQ@Kc50J<Xd{h3}o7e|4V|IAFofxTRiDXp*zW8cBTkiP6Qp?i?P4I)<rbTv}!
z&QCzEUN8M+&GGm5pRb4Nj26|{YVmmA6T-_A4aK->oYH`rUQi#U6~vYQ)&NE{*Tn{u
zM>KVQV1ar-ECy9TLiT7cx!=s~9B98wJDuEEEEeiK`(p6!)Zsb6*-=qZ(Cub2C+|)J
z)#6y|^H1<N8U1Ivj>jj0?-KB+dUqxGXGU8Ctr}~JX)MXShik&X;J=YcvTm%e6X(qt
zp>yIuwI)a`T$-e4fMi*i{lwe-{Q9a^&JG9d()dq4AA23!43#jT$~aTx*f;5L+{{PX
znZ-1rjnWQYDAe(IW~Rbs@PX9a*x1+$8cd|NhD#mn)!bx#m4~z%nl=ycZ3Lod;3eZd
zkS<P&V;tmn2z)`4wW^*Oqa`*yJp7vF{yz>JWJPjs^%C$wMNlabL@1I>=Go7>e;yCp
zl3(+3OR#<xNP=nd2Vu~}=6%|HRf<#nai__}PA~kzm3UV0kzNA145<(wLl?U4pd}CA
zmgVeswN&`skiu6VZ$Jom6jxg>X#>Hi(-1<DVQuqyHI&SSSy@f|-6Dp28aAFU%NToh
zubEYq{l(e!;NS<P6*c30EnZ@&rPOcI(J@&`)31NM{uHBixJ*>D8~tZ?b`~}PGpaN$
z2}@0k3tvo%cZvQ{91%}$u@9kxyw#hou!*%v&b2v7OEXQsu6|!-&`?+RyU0!|=?apT
zbR$kHaWN74wIh|x+FVtjMx!%w-a45g@-5(Loi3mR@NoPyK^iaTjje{ub1dF0$k;8j
zp=&|r?hGU+&Hw{JdJygXVEDLqa3Iq2%j%%}*3i%M3d-QP6NX_6V^OD%h)PeuySJMm
zZ#pk&cZV376B!E`KjT*2y%jdu*Y`>ygFBk2BmC2D>7x$}3R7z<o+tlzEx^=NRX~6d
zU|(P<l~*EG>b|KAD<uGmA=WFpX{kGbq&6r0<sg#(#Fa~KY|gg1K=ZzgdZgp@+i(>%
zHM``cE-0suyWp1pZ(9w^Z*&_Wujl4U74bhp8WlAalXJm6r!C?UPj0-(=Le?d>*F&r
z%KlLxj^f(U>Z%QdijK~BF<B)=;CZn$&A%L-Qc_a1o}(~ZUy`BUA3(NRV|;iR2r0Ll
zX028J66GF-N@~7*^n1B7@&!Y*?m30z-BIMj+ybLRUOt@f@+l(3^m@9v4cR`gEa#j2
zC$Kyh^M_yM<(Ce@TSd2CNdI(i<>(aIbiQRy452cBbu&ST-oNfCwzjm))#Vu2+4Mjt
zpP!TVXMbcr74Gg-d5MHleAL4<4TY=h@&YQby1M#eVla0^!^J2&oznTWTrxX$VD_Jv
z@}8caL=UA__H2RGhW%Sq?<b<Ht<IHbP;*`6`h6K;;P%<#6`3@5#kdW%hvdb<nA`)-
z8~IKxSzw$c-B$lVwwi-OUH>Ukh^gqf!#{IqWo4z5qcN{0&<0CV&aJC^s5ABC<K36m
zoL=c_OtHY2OH?H9zWS|w@~X8z3r$;@#^d6lw~M;r*myl$Q`OHCWt05r<+}t=lBX0x
z&TPh$h>fbZ9(}hyY3Fgq<h85(PHn4-dH9%3um1JNXF%S$=1|C;+ak>__D2)?6rGjn
z|Fc%<38f`3b*kx0t5mR3pvtFr`4BskVdUM^esO+^2Pxon^b3*BTr~tm@W9J`RF)_&
z`MUEd5Qb0n_}2*OtNRvj-n_~Am|2XW6Z3LDB)Vfhbjyrbnh^OSVppIWgOU&v^UFji
z01JKmu}@^qdm4NvwKB*5?sjA^UZcLtZF!KSFq<OB6n`gFTHXz_jC(fna{rg}C%A6~
zlZym|IW+T{!)q%E2BBNUy15QP8G7I4I#oYDtwdOqch-QflMK-jA=*!TobG;~$$h}r
zBA#Q9EHB@cJ`L(y9X5l&e_f{pX%t^<-C@baT8TDlY1$WiJrJO4#OU)1yyp3B;AQg$
z!DkF>LU$fZCp-bQIq`}`{LwvBqJBqPo0PN@YD1Ihfe#~wSz(@7Q3jVFMwR`;!;Igb
zU*PQUWy#$L*&;pdvY|o^1DB42>SXpETJ&gSJqo}Yh2`6F9W}n@Il*r}-=zNcJvFPo
z`ZtGDHnITrXDVcn%r^ZnX$Hx=UjGgj{gV^UTVP+1&|BbO08(s&k0y~DFK9HMC}kaH
z-QJ;iF<F+JA!Gf-?pa{NCJI9raP*h{@~92#)g~&j^^Sz2VfNQedK@StfY6`K-c<YX
zVa1IM|66&v>qb*7z#+yZHSaXsPscI~S@6i*tazSc3$)mf4(9nJU<d@?25}Ob*0@04
z21Pz)qH(18!;F-|Tm{<+*lw#}wg&4UKhaNrLz-A`oxgQ~@BW4wH^P$oK~|CC$BmB#
zhpVN-cpv}u5(A}FEwFm*2YQ{<nAE!O4Gr*|IOTe5Q)wNf^Hct*{zPij)tX#-!Vf)h
z%np~-#1z+T2GKZHZMV_@85%$akdgp-)hW*z|6cJ!p4J{wY%REK>hBvaPzB0o4<Wk7
z37p+Fgv8$$bMThjj7&~139nYd+Fv1NXlhFQwsUqBvspFiFDAyH;*y@^@{z4(rDP}H
zM}~*VL!>RAwj(#3sl^{NQir*FcpwF=$Xd^edv6VyOfLU?UPGbDOL@4rR~Yk3@4iej
z9ip50+t~S3;Ag}J=?m*Dn`eQ`-WTs~(p9aObuuwCW2=|b!5FNLpP!$flSmxR!ot+P
zqN&jCc#T%weD9Bxr+p!1dWS<Egg8?nsCy}rMuGpBJ2cmUzNnoEuMGyO>JmHCtVjOx
z<i*SjwFww?Fvsq)+zZhf$jUjPPsA3GQ1w3~*U}Z23ShkV_@fr>(>(3O#EwCZ_*}VC
z#>XOLML!GQ-VXZw*>hvueNaV^lfLGj%=SF6jbfvk8#iyN75lDqxvuy6?><$)r=l$h
zz{73ByCT=kN=Fko4L};*2M7!`H8*eGG&w|})0Dd(so&4)w`RO2+#cSNuNAs{TvkL;
zq|-ba@FMpItKjUt5b41ISeS2&Jfk7bM*I(4{xnf_q0Pw+Nb&LPXutCHE2u<OA`ly+
zrSm|EIGB%u25ikr8lmU6k3ePx{N$l50Useu6u4Efc|#=>L1^fYA$Zer=gJUozkCf2
zHBWBick@-iz+f{OtedP808<J7rp*|9*h2Juz<XO?u?qNMgOR7hXBoz9i*uQrF6o%q
zWOh-BUaQK(!^0A-SGT@J*gqVp1X4h*_j=zLYqY%m!z5pi%lC`S*A7C5scB24^|RxU
zuT=1_Rwhk6vwsD2uOf2@<4*IauhrToPFkKRX?<-?zmpi+1_RutJUTenCSImJX|CT|
zM~AY9`5WJT$5(O~<%C5y5&sLOjikgoBa>W-E!5WnU(B(on=YNHa3tEbbrD>drxo~+
z0GP~k6(Yg*f*;A9iy|T-+TLNAEZ|ehTpRs_MNju_G5Qc`RhC`aHrUkE6sWZcGWAMt
zgQaG&6qMA-S$}8}A}ngy+}wObF#WT-_OKEE+5?{S_eun!PGs$G%f7(raAR3PynALj
zfn4^E)6h%M(T_9cpfK^<mH{7Zow)ub&%FWf?*aeYfW+n5u1-`txs0B<%t^d6EoD@j
zTJH6a0+F$VvqtFi{Sx^3kfvI9PtOR(9a-xLih|An*B4K!`O0_aadt@wcan0eSqmtv
zJyjJl1Ie=|(M&Y+I41hBkJ>6Ap#Bw$S2|@q<3~VhK*HcDUUf017kXK%<;&DbIk8aN
zf%caz2(WFfU>liD7ry}2F2NK1r21JS*N!ev8!k^r+av^@KX;#Ge-;Q8Z2>Cxx-@PQ
zeKt(PBch_vwul!KWTdnqhv$JKhNZgM!)u=aoCx#$f}LqF`5_)lmW#@1`b!%5A}B-2
z<&!@XJGvamIH0&FZ&m%SNK*w>BX+EO`A0!<nFCFv#h1pU*Es8Y{ITZ-sBl2&s|;jp
zsw7JLxZRL=^R_iOamiEl70RMB;U`7f|HamK$5Y+EaUUVaNV2nqjLgW&C}n2vy@imG
zy^>DDj%*=>>}=U(uOxe~tZcHfp6k^8d!B!u^Sb}KU-!-N{eH%Ez1L->2lSK7JMQhR
zC>i0o1G#y3qlBc83Zh1wyYFp*)OlhglrNU5c)hsnws#Ml*5{Q^kA=o7m?GPgJ*JM(
zT{9|5p5edWrdq#A5hATVHJLi#`AaBV<7@RbtJLjVXdEp^6A$sIoXUdpt5#xcY=pCw
z)O-B`@Grz?bx=b6OdbNv;ouWG>X*(x+pi3}VLEV%sbhZskpVY#WhDj0&y3+uaGOt`
zZg?QJKw7d2fifn;XaD_T!9w2aDz6vkmc{QQJKAp<QTLMs@dkJpQ6Shj>q;1r@$<qj
z?x~1k(DQz!<ZS)}p3tqWErldLhjBW3`UAWglBfiEO5#oIP|899lToc__<;<Rl#~og
zI0QtZyXBOPIvivO&*7S>^1|f1f7d?J!6tkjYb>5-J28b!gs1kpFS|T3qAK63Z?A*|
zyH&X1!UeU{s|eFOC!O|so1=D#OUWLvZVk=~eI+)@+?NLQl?R)cXr6u0j0hS^+v(Tx
z%qUz9x<B`Uo-{4&W6J`IS&t0O=-;DFYB?V+v=z0BJ($lvacWsy@c}AcxR9KA&D54)
z6U(=wi;n@1{l-)zp_#9)xBFYMA)a-|=W$g#g-fYVrw-zjCw)>tJC6NpY2a6s1`V!g
z#^4=lkT|lQ$0HpSp>WqR_F_St03>NV{Oy0wv&>1oZX;N!cSyY0`4WOi3i{{O&Lf<j
zCp7NA-%~rqvUcm!vhe7z7|GWQGmFP9F0nk?F_nESm@h`L&>3sBuzSR^ZV-!&Q0v36
zQU4-(O&1klo4EQrAL$^>#hrG3vLyL*+V9{LV9)VE9h0!5rN29kNc6$|47HRcH`#<j
zmeT<5P|Q}#Dfy1r_Rsha-(|@{88QDSGV+SiaF<g@h#QMS7iyG1xGRo}oGbDRW%mcO
zD56hdUv|7&!<E<C%&H%qW~$0@%B#|U>(C$;Sf|E#kHWsYTZ*i^SSE}qDJFK(h<O<*
zsmi)_hX~0t;j^fJf4r+81A3F=txy+PKJcFWxZ;+PtF`8*e_V=R_xL2xQ>?z~9d)Mb
z@jit2tZS{*Hm%LEKV7A{-8SPL5XbaB=Yyheood8@c;t~F#Q;{;ll)ekThFe>D6qV9
zaYUB(*GLSPIU3(N4KRJd`I~BJj^G5OJs5Y0P?I$tCO{2td)7jclWBh0=U~I3?m4nf
zz0UY@UMMmU$}*9{qg2PgTkZEFUZql9PMNxU#Mvz;xX(sVKdMvN^tx3mck8Ezhbw<_
zMgM>&HSAV!RE)}%^?E?&H$2dmM~j!khoBl@-!=DraXYqX>Z023yt_n-N=o4B6i8Ip
zic#0!wG^5`S=nwqh{Z!x-Jz^|3Cmv+&ejl<U)6=Hf4qO=q>-&ugK)}X+<hL&$eh#z
z9J58a3i@lMX;?gZ)XB54B2Ov*<z^3R$?GmrGj6ku?T|QPLVC~JZ=1mPqb3LTn66I#
z(3PAQvIMD2s8L0XuWW}ma|CmH_!t^5DBv!UU1G8r-=9<3gCH~s%49Sibp!AB!iz>N
z*%ToQ!-ocfNq&0`mypSHuzJyY)S*gxWPx&j88kUd`}}PYRd-1PT$-b*I=$@EjEgQ`
zx@4w=_4oVfBw6WY*>=_@#pa@%9$avHG@M;ltj<v`79d1`i6H*bwX#4et&R0?Eb3}=
zzhx8xpK=z7AK-~mZaYSper1XgwOl;~_5n`|?l^verU0Q0p7o%RtnM0&3^$crk!x|I
zLvYQ#-oN6#4uutPe+>=wr*~|~!siuLR3wjymz5hxY7Gbbw?y}A1&SR?`GkZhVg>(R
z1X4vQ8S*pO*(($Bnx8NdS)ZW~FLEC5?C6TNHHyi?^v$+qu@||$HjNCX%^BMw?u0Sp
z>gomQVIm3Lb6ISe&!0apEiI+0yK_0PL{O$b1Hlkt4vKg&I+I~m85;}uI<m`}9He-?
z>(*{X7S6v35$LjcX7u#w)yx<B`|j^hvVZR*trws3*!8N9#G3owJNFQqRdA-N(HTo5
zg=6(4>J(Rpf5Ojr&#t({RxGc1*@eNQ`Th+?eKG^Rv#Sy4c6V@U$~bTE-8W^a*SWdD
zKYn&zY;$%ss&q&qx+bqKM%QNOv8;%~5EI4J%+o@AI{Ce$fk86CK#m1XUv6&7PT{}O
zMLPWYv&)G%SD>G|)8DA8MoRnsS9_GYfp0DU!zx0@lClT<7d3I2?spP@y;;&n*S8c(
zsT2`xzMBYj1`BaeRyMgs=)$g-Qa`1|Gr@}p0rAA%CH@3OSy`Mcbt!9df|<Unjk{v4
zHjRnrReuyw7ON$H@5=9ati*tXy2@^tMjL2{iYs1d@Wm8EKvsp+!*MBF56v>GjfDsY
z=Z<UYahAPSmKxgg2nLshkEXi=9+-uevac0}h%<}Oz>|IfH005mIu?XP>O!fUqmQ0B
zc+g}wG|=lfr}MYVV{cU#!s#~|A@OIq-tU+rCV0t9i3gM-tWPLVY?%md1g6c-QcTp$
z$gRJZ&9YXrvmrn&Y(M112dR0u!e_f;)p?nG-F-wSEeAhvc6~N{9PV&ibL_2JXuPSj
zfRk^%WloBUp_L}fajBFR84bcTbdW~Gky+2hz(COFrrl&ni+Q;|*<LnI6xCCE9DhRr
z{$OX_>71q)U~sT~b!9AG|MJW^FxZAZ>*cVlR!68&iRz>;h;)8F3a2-42__=4xdhOW
z1g+6M^fwf(aRuOF^{JLnPn<#xNjkf8O0Qf`<Z6mse}=fY_>GovfYXU?%2x1@9&k4H
z>3Jv8^?Z<)dhL*X+15hr64tNV7)v<Oe-C(T>!pt0K%HWZ>8j**H<Z}a-Z|Z{IeIUs
z{l*IY;y$z>{N3I6f8`Z%lZQYJi&oJ4Z#}19u09KM^vy8jmONf7jS%0DU#&K%u>ZW0
zl{8ddxy%WIrHb%n3!a5ZQxxChZT6U?`PU>NExea-|5kYHjcBCldv|x}#qlo0-FPhH
zi_%fhMI;rbUcMsb^4X9h228(7{RDvlOGmn#<b`hl9oA=7FB*0LPJvGgV&7Oldrlqr
zjaRUIGpMy`xI0T5xy#js7l;^kN#~ai!8oDym{8*+ue2X60o6Ugw$KYMSNpFPRKBzZ
z*N5bGkc!w&JJXTxna}j`)So@_<jlEkPmtM78q)gMKAp7lIAvpsW{v$y!BXgZ_7Dxj
zR3E=auUprO8R0_s5p{Kwyabh{kpIWlN!5>wANZzgA(kFIxX|?Qkz+w`*2QB3Vm1VW
zlTyjttDGILIUhvIQb9E9<+QM@7Q|VkEFDHbum66jQrigp?eyNuX*UY1=E84pRPA)$
zfNyn>qDkMU7eVx6cvuL8Q`LIYKBgtkzN<)NAmGY8@;_|X=>9%VJvkzj<;~Ca4#ZMJ
zH@sh2h(y)SER4FL75etfl7)J>N&JaJb@yy60CbY{++sk~9`!g9n!HS)HX3%|v{>}|
ztE;dA?gh#wb3}wPqzqwVVnU&s%xw_6a9qz8T&&BPtUMpZ`u8?0qv_pEXB(?GJ+5u`
zinRj2`$IA$MmUz>TiUq68%L8hdYt4W(rU2_njGLz<K+<_`=n1WbEydt0HyqvRlKC)
z@SfuJ{;G#?sUtpt-{$Q)lT;f-z-S3-|2>iz%X9^(3N!^H>;?&)$J{u7#a>HiQt!2%
zDDx}q@YrIW>8$BaTnkCZ{h)p|OeO<*=hZ4AM4H=xIU-dKJWPO1n0;%t7xbBFe0F+#
zz(Y9WW`vW^h(<Zl+h;+nHz_d@`~u1gyq;%_{M4@!uw*$^KK`f>DXLs6m$j`AOHyMA
z+s2jG#*`2#+8nrb#@h(%b;bVzD$&MyeH-NO7^dJh^z{M*1ZHE?Wy#vZM1Y**5CK|O
z|NRoF?5NG-SA?`2DksX{Jua~>SrprZ?d#}TPmTMIh<LQF<VdNYNPRMcxShqgmuE=*
zdcz+KshZ!NorETUJ5J@`9>c(WSjRv!5+ZJUY!H|jKk2!J*g^xotdd6%>ynr?35OcE
zP?j)eO1iiWvJ0>MeLJY{+daL#2C-x$>ybaDlyA+Yw_GVwE+HR&`00b}{53bN!q~-!
zh=2=BL@4%EcC+<dIvWeh#*DBWSd&2W(<3IHo}bQk-6*Qv`SF0K+~GLZ;ITY2F_;ds
zk{<tXGg6Ble_Z1*DT-za&~GcxJk&O^Rl%n^gXN-SZB)W7^Absl=LuN1iJyBd4%vk>
zM2aE|&h}s1U_worT|1AYH3{*V;i+CuKi+I;h&)Xq+JVY&!nI!s01(spMCjUSZ@b%1
zR=d$wqnR@F@94t1tBO7of*r;~`Q#z6XGe^OLzrg!vd(y@{;kd)_6b8&Pupj6#EIE~
z;qy$R)G7=fRUX9G0GF`u7Xyf1mM?s7g~g%5UI+dJ3VQkLZ$Ze!)7sVsu!mLRVq;??
zOPt}4j~xH45UJHJ=Xap1>?*n7KoD@{0wL4F$mf@4&BB$79JgenZT#-|esRL;ou|1T
z)U4dkl=;3FzpDBMGjs0_mZ>6X%O@qF8A_(GI3W3;V!Cma2K_Od7W`LqOW6c5APH$j
zEqf%$$kq&{bg(H9oDr!7x4p$}x46@8j<g6mCk7U6saloH^2_8A^I57_27aWKyCvl0
z7tY~eW@eB0&Pj&&<jM#4#snsstwKMd?7pvG1LuXE`>5ndo0e%2mQ$+{6k1;jZoePK
zKxpb?BU1iwY$8~x{U?x79PFdaBJ+;9URQF<K)mPV;nbmy|1h-6z6<26n;k^@eWJaM
zXc!rO@^^ON0WUb@GZpZNC<nO7D7>nDJX|0fB;Ver=tjImjO2Lsi-d*a(2DiD>5VtK
zi57+P*o3zXJ6yfEOF@fr`QSoEm~8=uFT~Rvwxr#ArK#mmYZwA_5XlC`zi*B#2tWf4
zcl;u~yLu~RA9*oZiM%6m(&8asa5bH|_-=hSFe><UdOBO|EI)Tgh{*H#&@G3X_enGJ
z@*Zdn{uM&fwxvaL1OukT`$3lai$3Nd5O-T4y!00HEdTwEWb;tIR!SD7UyT?D*+9XT
z_&K4$lW!t5Uxld=uis(QS?XzP4Q_u<%**B5d-voUsE6H*q+X}9MKMF>z)T}XzW}tz
z_F-AFpc01*%E#w8$43g4sAq>b2L%AviB!~w7M}lJ@G@yev<uA=);p3dH=V5u;Y6y!
zva_^OAOH)v{#L#<USn<O$VQt3SBwm_fRDUREN@}wKw7LrAOmNLz6Z_H%$MiiPL#Er
z`iraOk^}m3k1RWayNey_H$B|kk}IrbY}PSO&~gwh<7=)_ih$)Q?0JhLFQhC1@FtqP
z=+)ha=Cc@4iGU9GdwDsg8GPU#k$!U%$|qx;4^qfdF=MUhl$4Zh=P$Y=Rw6lUr8#Xh
zsX~U4S+W4K?Ofdh?UJ>>wSJCA?t&8o0+F7c9QBK2VN%-VE+}KP_DCh!r7lr2r1d)j
z8=}f4R(ZZarfMMj2pn8cesoyw2)GlVmn8JN^_#=1ZW7;fbRHn_gH`bZnPlGFTpPK|
zgF}Q&5CYS>mX?sim;gx_P$s{M4-^95z|}s=Y1_OEYF#hmO!X_m4Hjy@>7u-f#MP6z
zH~Q4sp(?S3txO*#^PJ&u>Y(1Ei>or<@zwXyhwuR>+vus`WRJ+*Ylv{B4UMOLn)Q@e
zvTV@iowy!cL4T>`d~&R3OI`qx(RfrJyJ!k)(Zx-Yc3<&Hc^;7cOd*80>zn?&oO(0f
z1cL0q`)X^On+JZ=CHV|Uth+YRz9#9$MVNOqKe5}o2wsmz1Z`2Fl;g-TJ%`=EI1gTk
z;Yy)pduY|tR6X4#bt+_iufM<%Z}qwxM{$3jPM8zfU#x52F~jzEQHtK`TyO!det0#M
z4?!f&m#l1EI{N9+pOv{|{~XOZ8{X(#Y~v5cj_~`zo0{;7*>U%bQEj5+kc*~G`dZ|?
zAU;CuQew)2?Va{MJ0RoXjs@rRWqOHFGcr-g0$cff+Wp%FSh_F!B;oW=CLa}OLm`@-
z>GSuz$ODS0dw%{{qRqL_Mj%1)G0OJQu$x_ZqQf|fNH5l+cqHiML})SSX2BwCV{u_m
z`rE;UM>t>ecVB`UU0B$Ys-NuY%P*86_~fz|l!=IgP@BhQHcISaL?sQ)S6@1(_q<g3
z`KPBr&A5^8BK0giMRJe+NkPqA@D1P}3elP@N6#kep~`#9`R01$h^o80hZDHwK9@Cb
z-{vBiLGPq845%I;hm!$Gwb#nA(g$Y-ELzZARC|+Q-IYik7Py4?8s7Jtt<4#r0SFab
z=XZi7n5iCgWAm3vG*cigU74SM*1o0^$z=^u0Rh+Q#a*#pOhlxQ*G=E;9e+Y!gp<+1
z{iI7mmBWT2rj}mMs)M;O8=bSauXt;fSN&cnO+C#|XG0q-n<OtG%dgY0UDDl6y?2oY
zfpvFROYz^at5&T0E+u6@q()<L6NltQ&&tu4`+Sd2ri@114!6vVhE*OE0lGy`KP(Uy
z?UCKh>SMmJq06Fno}n|6(7Ocm9gsbn$MC&X$N1l{38Z@<-Ut`*Xut6q<_*;^*#9Ng
zy!|2%H;~Nysw4xVKr!YCO`PKOx`0JH`HMxANxb4_Q=v~193W>Plbfkb0@i@Z`Jdrw
zU_V;Sx1%0#AE8yMPIP2xBxKr?KR@>W=EU{^xSUVq@BS1>SptZ*<VVUg&tiV{AY`~)
z-D}f>W)8n?;v3@p;^Kb#*BK$Ng`nxp?`%PqrQ1y2>bcp>8MpPRl*w(q4!(Z<N|mvp
zU(ibVKrXA9YjQ^kw~W2~4z)oS!;8Pdc2IOcVmD}1!uwA&ri0W;u@SiyBfsqjBdLbp
zeFOp0=lS%K0vgUrvI3i)NLSf}-0Or|C7hqR;=0O*IHguITfW<@4iz96x^{p|EUMWM
zO<4k7SX*DE#A9=6==N*l{%eu#Ly<d$eu?w4amfUhg#?Jc<sFTG??xk2ecMlxD=EY}
z`<`=OXvo7sx4gk$dDU+u6!QoXfef$b`cx})IZJ-%LYK=-lGH7d9N7s<rq^vcM^2C`
zv|5cKLe~I_L4qbPxOce`Bl|zBO}ck$!4qvXOnr=R<L&x4bi&=;J>}<^k9^d%NI5MM
z@@|`?onS^>A;^jnR*J|{&mq?*$1?Nu^i(IcD<A7lPuX=Y%*X&;;XB33zTt+mJ+K#d
z!5X$RAt*`n{R6tVFPHtDHh>&zMOH#tcC?gga`I!h7L@yL%Y>p`&?6rmc?I3bt2M9U
ziJN04YHpSf7v1(WjEY^X{MRDZDfSbT73-!SaSVJk)h^@XkMoJS;Mr9ISnS+qSG`ye
z=&(Q)rLsWlJX$7#Xl4l+8d1oZgv1TdcUl+~Sm_NsdH&w3b#Go~x_*;h)b(S^`CD?D
zl(YY70ospNUZ-twTbSyqJc`v1ST9`N-`h*JB$$R)>HCC)&WMALxjx_hUq_(>hF)oO
zm!ih|S6sW22C?r_Qc>MhD%D?iqIspx(dBY2vhlZ@4HL*X&Iht3$^pT#W>v6tbS&Cb
z5j*}7+8pza;Txq&W9$(g%hdjG2p~S$H4%T`?}Ha!zQQHyb$l1whzkm86f#`^%WkNW
zojE~n5`X11`Dk}yW+y-w(R4$jhD#=3TVTsKm9IkB^Wi@^0=bPv@Jvv%)g2mx0`DM~
zf_J2K3&&TvR1g8JW#=xiXk)FUv1@n=Z<TzJmcGqJJs*=yR`p3e2PHjbkj2&sMI&?D
zN}+*-AcSE8N+ud3der+SI9)F4gRMTKi^O$7E1%BRI=`)W{duIAXc+8Gv}mKqQS!Uq
z4XUv4(9rfB%{pV8Py2KM1)$0V3MMZPU+8b)WrK-#PgrOsapRS{FJ7C=X+BSzGmt;0
zb1C0GrbJ!}$S5wJRd~BF$#Q<Fe$(gfZh}K=d@oz3YsWxk7N|>{V~j9^qBv+KGp1TN
zdb<yPk(>M|u;<tb4xn$Zy^^+)F^{d}_`#Oy#`=nKOx#ZwijUK@1)+8p`U2ij7-9%$
z#kdSAq7^drugz9-XKJcN>vBHS8v@&B{0rmQ1<RXPf$eeqI$g02Me=wBrb8%^41z}H
z*GeDIg45IVi+Qrk15L}wWd9OQh@sbwwMu+woz02_nUB}4v);ceRG*^HM)N_0cBo{F
z^pg(u*7%M4Hr~GnKMHBHk=B0Qc&FdfUNmw@du44Z-u>grI~Ibg^*{NmeckR%zC8(O
zj+0J-BQsxMh<aFac7b+NY}?1Yr72(B5w}eHTXVQfLwN6koqQKXMsBrwnn|0pSZ@fj
z@J>=b_G_e|>~r$qG9hVp@PdaGtYp~&D^gWBKH}+k0a(-A+<oBxPUo$vup3i+M7c*D
z<c$_-q+Ty<xBQ`h5POpjD@o8n-wNXbAc*9p-<irbEcKK#)uDRpuq4j#_<O2a2Hlq;
zLIrbC6lCJgF7}{i@k%&(aA&Ss04kl@OE2PL`B#)({wB+K*iDKdLm<eXDKG<%yUiKn
zd4hgmT}klg-sR9p!;~>J?_NkfyWZ00!<MZ%9-T|~Gkm~>CuWS5BLQ=vB2Hm_Z=~hX
zFbj0+H+pPe`QRLq?Ngw#DJ@o0GN+y2@%{?G`jkeQ{9DhrT7Zz>d}lt*85^L7zUQie
z{+J&NtZ^``FqaDHt9lCgswW&&XJqD^SK-%ycz>vJmpW|oSQ4TO(6$QTwA)MG^*n?!
z9{sN*&kpCic(_UNO#b|c1Fdna9J8e!9Suz_(D3Ly1Cr|bF>0^2+f#RuM@bDwNm=Wb
zrFv5B=(DZ`2mJ#`q`ux?gHz8$;;2J~@Y1D@65pGnB?oJxyJ%r^cD8KPhpDM4w3e&!
z8D<F2NA0{mn`ok)OddbmOc{Vl@TA(MDU8bYkLL)){#H}o4lXp=hTKV6SFtd9cmI|&
zDV7^$L};>c^UYEZ>A`XZahzg`=i^2l`<CBWY3qS3@?!)|@$cTb(pWny?E6Yg_xC@M
z3fiD)o6TvkbWg@`_ESK<9#A8F5%QRa;$TD~PKzMH1M^}QE6)Iv|4txi*O&t?4<|hE
zeY^e#)p(~?)m>B8H<>14_$nqsp6JJlD_C50gX(ge@ISO^*EU*26O}07hZa97&$ZQ`
zpXMeGDg*6X%DAVy`;gH{j8<s4T;?`X?MpE8dXU0cS-yF3e9uE2+q5)8Zk#b)S$&hU
z{wR&Tr~;^!fy33Jn++A@<J$(*`#ixq#g+zAt8_UfcDwl{55HVC95$-$+N*3hUB5MK
zsKFga(coupJ_pj3y7h|j`u*~vf`#zaAMN^oRby!6v1qs{j_Vx%45*@p*_YH*R#(6!
z4*_x8Cg*!5=ev^UyM-QgH^e}$De*h)GMb#<sM$RGrPEM-VhoYa5QO1~m_h3X#vJ|B
zF(B6sDv*PW2#IRP>3W6C67}?OsWhjX9{=dP<@+E(gAaDdkEEC%8Q_2eVbE&HGZEq-
zf=ic_g3@irThl*@rLzI!TEZz*C_rH0>pO8{Ej&p3=0m)JgA4iv=f#%nvVrfjv#r;$
z;ou9cqfsBCvHcQCRfxQUX#9PjVG%%@TY7>@Pj(ipt^Muo4ArWut78Q`Iqx_~e7uXi
z@|r>^TgY*0&5JJ6m8*+cTJ5LTloPhlOl(nlkw_H%_ruO(pe2RjN-6&HBs8O&;3KXo
zhr{aHnj!mz%YpCJbDRX)b7C@8F!K3x>A$xs1ee4jB#;+|-K4+SRbvMbXE`a0BMpcB
zl*k`&kcY&94Q;mRl}Pw8nw>`LQTnq$n6)<DaNZ|NKM5fzb0KItDzC5_taF+idxJ&(
zdw|BI=H{wMp8iJruB=nM7QwpU4R&+1=V@@WiaRX71xm2JVUtuaL~Xs`G4$PTL3{$h
zlY9&m`gKQ(Nzh&WMpuBKv`(UJJ3{}|&%J(+{r%6t3grhC#><y4zus{CybueR3lLMM
z;39a8wSVch`<iJed+-jh&y{u!KC2if=nw(BqPl&8f|-9PiE$G&Tu>aoFT0&RWRWh-
z;Dl+McbfC79dxW>Vzt7JkM)>|M@y_86lmvpxE_Lxxi&YqtFm52Ny+QQWU`vycI#f1
zWsCH#le0(458(M)n-|mBhA<zYQN<^Fo?k-w@*1z`WN9M?+|6fntgYt(e-5A5<WB%Y
zbb<C&i))Nowj1M>Dq4d8E4Fsd@?zbhp-aRbaMM9BL@_(lRPGO~qTWDo#->A3?%C(3
zYUJJsCroZfW?OI9n8069n^qU%$0XA_i*t-&#Z!DQDfnhvvujV?yQ@?>EfU^D8L~s@
zAV|*mgj)r(tAy(6VUzrs%V!!oQfWTJltyP7i%`CyvSii6`>XZXrq2)2o|&dsmr0~x
zW7NZws&E#I>#Bo&Q4d>=T&3Y0+-h&lD5IFg_eU%sz#ac`{SpKmtb&OyOQ_CvbE>X#
z%6k?4GL^G+KF?PRl#s&}2e-{1*j6Kl+tlFKO-qJ=0b$|8W)c;Fms5}7wEgS8$LE12
z68(PzAV@*?v_EOe6<#e`q5<zwm$;F?b))|HF`^1OFYQj8QOyv$iw~`>i|YUUf}U!2
zcGkeL?pE!BQ2lmTuiwU#P4D5FuaTdj0+{eWUay??_pz(|r&ari9c#tK$@ykyBkew8
z_Ak86_F4*(g0revjl7Mog+K?o)fx#<^+0B0ax&bAT^R@Z1rNvFHC<yrBx44|+hqQ%
z-aLlv#jpc~>u&|bMXj3^VoOvbh<z$#CmN)u`g!WVx2&%&n7j^oS@X#bf{V#Ra06$&
z;2eM8&13m4n`BRND<-)-N0J8WQC-fLmms^lt7IXB%*RX0@1{va|8E=o!8I@)a(2DE
zLCdy;_poeH?v_r<tvQ@d2jjUw0Lj&pK+UF}vlU}>uR}_)49Sa_v3;ZU2-7(%2BzO6
z*jC4gbFNh~ubi5Ps2tVP7k(ciJgtDzS7djobCwmVXRse?!eQBm*S0i*hflJ0hXGZ4
z{fQv7s%SS0!s&Exm?wOSnp|=Zg07e%#4aGtw=SQ5N7mje)?KTaKIKLXtnQ_ru36_z
zI2%#v)r>nf_{Dt5C_hG@rIxeZQ1l;nsQ42j=sahhwfJCsUDyU(^nI3XNYT@^;x<Bh
z2?EwCe>#1_na!&CaP#6S(3OAz%@LA&%<wwlP41yxnedBmN=Te-cr^G-*ZTp@fp2ms
z_5WU@nf&fM^_Vz^^=~;^K~F9<ed4qWEAUEzU;$QE)(9GroBaG4tAB9avW$!1>QU59
z%$JBJD!4<<-?L~P2OwcO+pln!_wO)eS4m8QpHN})iWhI-*1lT~H=x0V76KL}uZRe4
zrueC|1GC69Eti{YS5njy@jl|{wyf-IY9UaUe^}|u(JwKTIkjL}<}?w`&$cUM?sCEB
zPmTToD{^3FysjC$RK{1TS5fmv;tsi-(RW~i$H!}afS4lKz?VFLmaTl9%eDTao8t0l
zNdfQ0D__EcVppq`_(xtn%OnvnF`?m|yBIw$EQPeN2a?d`5Laz_l!7PuZHgZx1+o<r
z<(>AW`26{vb`R?OjJ|-#sKE~krah7N5pS)IZt1NbZnx22?!SfxrrYWcJ6KZ*a5N;~
zY6Z$G+@qF>ASM;eggP~mx8}Ug>cExN0iD+oI)rJVt%>pSuv@D4ubkE|=tL&qN-F9s
z3Fbhlcp(7(IJ5+U)%Ae<>DpJbsJ{#l$$^`Phve_?_jC-MTY$Q9UWm~t?5f25i=w5K
zBk%RckBHrm2&%Yfnz-n!)5qV6_u}isgdq`D$lKnIk_nI?v`QbE#j-uKtDi{B@SjgC
ze;-XqNVstzR->xg<J`7qq<TRH5zs*^x{{F7QX4?DzVb*<fbnhg%G~KX>dgoHi+6U$
zMoxUwfi*>dom)kvSAem!MZ8o-@n>MbGYTgG@m#qdGc%@kw&&0nZ*Ep{J{Z3J)zGAb
z^VR6Fj#pfkZ8eid_8s}gXA}q>i?T&a1*s1_g*mlGm`Kbu7Dv#5lS=oKtQLL}%kb||
zr(~L~>0Br=qr}@Jyp9)U>!szSmBu_&_u}ius7)E%`s!Dc+1F>;4Gh^oZOChslPX1k
z?4fc?eDsizPK?sO*z#s=4s^p?ArS55aRikmdfUM6Ds&#r8*Zn1adl6nJ{hW{tXrgL
zUE&K9&J72cxU!gNhd!Na;2;EhIDOM|h)V=DCL#b`Xx@L?04-Y6(=l|c*KF5TVd1Kv
zKciR5d8baj%cxb{q}Nh1<v&<FO=HpKD*u@8ty?OX!WDDgZg5gV6_a1a%0*p_y7$H7
z!rlJVT)Vlu!?ahg>OCMV&0rsWzDV7E8enHwDig&FZ=3pM8t;`VPRtp$%v!P4eUUvp
zmE5a^rq10g+pimlgd>>-?LErgMH{D-D|amBUxC2uFs2n(eXT($j?C5SB`*|_RupiJ
zx{-G4eg?|13+1mAfpt~S`FQ54Eb(rUTzHP};`NZ;YQLAX2`EiXUTD(X+y(u7xZ{#s
zrg*hR2PtlF8~duc{rv152*Ce>3j!Dx!1?)ecuX8qHS(+s;NAu}7y4~4sc_N*HYvqf
z2h(ms=B6t)-em;^>nK64)VoypiisCLJ`nInX>+ua3zi(Ru4_HA42#`#vh7hYa-cE!
zF>dhqGq|-kz%UFSe2>X<u-|7}>Cv=-1viY<`v7ESPO}PVdf?_s`GA|>c6i|WcqL{d
z2vGHFu>aQfQd~q>U$C4ol^+Rit{;*P5%C+u-jbA5>GZisg8f2LG$SuCi6~5jUr%@B
zRsma>VSnE1`_}}-^>ZX*j4R;va)e9uXRwm$R28Bl>ny~2^Mb*5pXr*L=<+LuEqf1%
z!;UK;IY%sXO_MTPQSXa@rPdVj=L`#StoY_5cOuV};X{e`l8OF)OvGIxBB`Owk*Of?
zF9+|bzob^_!wx@0+(CZ4Pyfc4rqaaZ2|tEvBAt;fp(M<|dQ^VX&<V7L6b=a<SKn0M
zxLSCpKLc(@vu*%A85I}S7r2N5kekb)qZP>=miN`(#aQ(VP{(zqkM#BR34~19-Lo(S
zeFI&kuoP1}q**Dwr2@x-@RaTy{ILA9rqBC(oLqL*L73rgWU=BqWIBd?P##D~_zxR-
zpe?)4EmoI+$LoZhKvL%ev|E$o<4l(_xqG@1X6I+8Aw{@tj-OuA{DY%ozIs;K3nd(0
zqRgqrWBggg_asMiC&b6)QTdg+S4c+MT<&duNI=khX8a;Iw}g|ru*#G>xxAk?(=vyq
zt$^<VoJMfb0F?Cr>@i&$gNb@Y!?3OfKivrbdZkiU?7sXAKh^$QjOHr!m#Jp4+9f92
zwPxNGS<i?vf0y0gd}&ryn1@%9`#SbKc$N&$pIWkI&HRg|*}{<uVi_jLtgVrbapz0(
zu(vyMbvp7{IBJUW&{0y_kiNkWG>tLzK-JdXVImK47%Q{wisgci7(QU{pDMBHvJ>{k
z35bl0+zNr4a<B+1;MuchTOpv=^FPvS9f8~G(_zWpBW9Y{wp7wOd4nW9>V1I#d}rOb
zU<?)YRtQUkA`+K>5H4-WQU@QX)Xa{mNt8?|fKQ*U_2NfBBp`|h<f*<0&%@bQ6ehdi
zKO#mbOH4}sTfTO23Yk^i6@ga^M2lX}VqQGb|FQSkQ_O#Ybk5B4lhlp~`QuNJW7oD$
z!1$rEGOqV=D*xPkjN)iGWuaz8bjKs_637qg1Ms_C)5ao{R>b9lD%%}fouu7tl;uUu
zy=1D97cR-d;nYhCq`nAV@n@Y^!{@)sNpw&k8l9SDG>q?XMUY^bt;ftNV~kf|Fr;Bc
zs}C<Jsu=oeUw=vMR6hVpKhKoQ!?G|h5I)~}dbqw_7#SMcuO6;@?CDtrY6ozAT3TAd
za}Cj{#SbL<lrjBo!7%le&Z2%CGdo>G+q|=0tV-AS)|}t_l?~#)`=7p!{+il}twc?~
z0haga(I{H34{!rw3;e%se$*>#Ybfcy9rK1igGGtt?7AkQ#johRZH~5`3~CsV6h^Ln
zQ5uki(FW<10_$n7=<u?q$H&Hi?l~xTLZ292JPkDDWc3Yjpd)5(Pal0#@!x@wQn!?9
zjyG!1<N{_R=oyB_xc;%DkDjpw!$BrccPe-5$$b^O*xcKlzT)ohCyXn|0D=Z*-@G94
zw=XZL7vttTaG6szNUc0QbysRfLXE_<ltOiGYLsi<atVsBaRRSOSpR0Gy8N)4+O$ZN
z;qq(EKXX)(>iAz6wm3Y?8IZycFWw>0aq$ZWVF;dusdxGv8pIZPOJ1oAO+c9{&4w0P
zs}brGL;=SLcFlKHm{*xklGqg*K4Fm|OIZR`778%5edg)x(-54e8e)e@2^8lIm^g&s
zAp8(H9H34W1crN8ju>?<w~ny%J~oSdOD=IjgmNQwO7reX^#{@0B$@py=&}Rh1fmzQ
z!<pw@Ji711(raptq20KQIDvNGcYoBH!UVF2AyD%CDne816yh*TI%y4TenJY{#enBH
zm(Lc38uWbqigi!sC>p9-S;ghgH_uNSTFU1TGc6P*wY%SLW6UJl73$S1X5{6qPHy@O
zAx@TMCGqh0CY_ot6=+?v2aA&|K2;MlC|(yb<BT7T?{ig707(m3MoL1HA6Bc=*(xX9
z4gPOgdJ9;Lq9T=UBi#_=s3Mk#<($A1Z64>lE;A0$`q>>#(0o&_`GU7w#v1RdtQHN%
zo6CfR6^>rk?mu_-xi;5UR}F6R*H%lV5!qNw_Lbc6L&zySR4(AlVcI01cs^ClI%rsK
zej~is`4Nbja&oC&e$mn~L(t$N8uyRn#kDH5_&m(w`yA$x=W6y5OI{L@a&p_;Z^jJM
znr3f{F)raHi}jXQR?<uOR%vqd?R?vREfLQK<qPeV<XHDug-m!!@qj+{v>8&BjB>_}
z3hG3x6iryp9!^{lS5nVlO|9Mx-3KjoUQtm5pZlcSu-_tos@I>DY&ayr*8KU&5;R-&
zU<hrQ*G3DknIa)7EY8IL2;x5HeI-mFV8ZWr9~#q{y><d^!)eux5|y$@Xf*|C{6Uu`
z@f%&!02p(8u-O2%m?;Q=6b&ymPWYuA*<lII`qX|!<td;6MTM&`q-N1z5V%kj`+?Ej
zA9r;8Q-}^sK)`gFh!=KvkL!;Xhc>3niEBc*tC!D?H?w~)n+Qm?V_p_>Li<GMvR77D
z#{sthIW3si{=23hFcX8IR=*%|ef=)cUk&ZBL@BJ;M~Lc-3iby=H8&Zmxk&a7saGhN
zP|fDW<;(}h-wyn`O74HtIE?d{T+$T3HiGY~>0#9tp_L}igcHTg5lq~g3M?s}>NatB
z?|AH=^r2a_c#Y*QNXAEOthzJ$*ck77kP3ao`@JmodC4o3Phmx|PU*FAJ0(BCy?n7-
z@dIBOaS=0erd8_x8$2w<b?Q0oB{X3&w?#!`d+S~?%fm?8PD~p14K*cJ4p9_V1?zI*
zg^oU5PG~sX@lt)7Ai5YHx+A(@uJbvVa&ALc=xrPnkobQz`-=Xo5l2FmlUx#jOl}Ej
z<Pq$b!-QVn#VQZ6KAEVFpXj|9;ro*bo;l?E=+1irf&=}T3%bUSwtQR%V!jh}-vF&Y
zy>hM)Td>Rd=|NHS_zrXxjvy+PNW}?w!2S7y?PzVe&Gtd8I@M5)BP2=x|0FD9xd=1_
z&4^N_V`QGFoA~MjtP5kQ!`<<M9rydX@AAWc+5s;WRXoCeoKIb7KptDL6oGVSHp3xs
z_d0!6By8@X;3wib>t!7DFzW%k&{?%E=f&vUsAw3%mC*fi?36A&8XUVlr4A%9**+F5
z2?t2VKn5&=#nqtT3_0l4jo*juec%An`4`*Ua!ph6dDV-%3`??&!K+l(l;Z%wk?XYU
zbH43B2J$im$2u6yGOnCkZ+@H4<LGUE*04FcDehqsHNnYDbOFh2_9O?tAVXbfAdR~$
z-G9wBKlxV~zbnmn?qH6#!)@3&V?%`ZBGnBpu9n3|&W)XsQpDajyu)xuYQJXsNpF2^
zgCwD$1u-uw>C>U_xy`INv<N9bFYdlO@Jhw$6QB)g;o#tq=<3=mglRXG6%~d0<&Sz2
zZ-J8yMvjr<4Gs*v^O*92N^0_rtfUDfJGgI5939R_RF;*kjh43YhUVtx;&WHcfMPFR
z^644d^tK$23$*{kLqigvEu<ED9L=0lUHu1K*$r?jwW$vH*+UCh&90Gka@Z#65C18|
z?TFE#^OYJP+$km(LAWFs_GEaet@b3G=qt&mu5+w%zvF#KTfBxUgysdEJ=^9jia>u%
zrJ&ePNuguyry>`i&+8lMqZQ2ax)m~eV@V}h)a@GPA;1O!H|$fWs3^Blv<bNa2{g>K
z7|J1@q~R4bQt}s5)uo9ONy21UIX{U|q29pnk&pUmId)%r$tHv-*Jda7Uh($ly}do3
z{WY_lr0f@$eXqDCJ?_;JeUuxu9?a_(_2ssq7$pIjqDcfz^Xw>u?Y`=bQiU#0KnmIB
z3~HU75Dd!8=&Va{xzVYS`uO;?#fCm_t-bI!^c>OH!9^a@Cop-h-)sEaLqgZV^lLr-
zYWaD2N$r{%iCGYbX0Kg&HHA)JM5Xd-(s%IOTipnGsn+g0fd~y2Xq(@L$B!HTA!%D#
zZ6H4GfUot^rAuJG?BLC{%E7^DdIq*%CyG{_I5I^Je_5rrgblX-=S1m5&O}nLQP|iP
zKVocGNnk=?Yf~-60f}p7i6a(Z^Fk)YbE0ZciM7$xW$@u_0hn3`s@7OeJ(pUohQCi9
z@!s(3?5CPY<DeD=>J`@a3PVnjavyXgGYq`5r&6<WA~b9qa6BmP3H!=`7mbq~@Ddkc
zd&-M2Xf=YBhVTiEM|@Z83(l?%OZ6ybp~^U`Q72)Vh_*JO4vWzFZBH?}VS%1H{JTUG
zt5t(5oJ;d|<VqM!U|(CdUzge6;P8H<@h2xBoei?SUL9jMT7O4N06|iY`i^E-GCqH!
z#5^o8sC*0pIzV3`GRCmlbtPRoM2xPtuNzXR;1e)Uq|~3LYU6405f>bjcrOB@XUBHQ
z)Y8~ou1m=Yj+8C(+mG=CKVJVW$Lw;LK3(C^RkFq%<0D3wvJ~NB4n$>T<#0z?AL$jF
zF84Q&OEDil5llkovBn=4;|B8nEZ;ya5ESU=zv80}<a#y7J~?^Wk)-pwfRfsVlz6MI
zsbT_A6EA}@M%x>Q@hscNQ?;X9EtRHUE>vEciVp*aDr^Y2_N=-}^#6V?JZmf;Hm-49
z`2pJvkt^}<EvOnl_V%J^0!zu1BDJV)UU;y;tLI-J7E$GtWdhLOyTdb7y6J3?NE9K`
z+_SU`sDkjY{(RRftd`_wE8qQEgmzzA)3*W+e`CINM~*o?w`cN2&!uMqFKAIjcSlZ5
zMt}0spIUZ5Wr*S#u6h2p7p8Mh)*qz)LWc{$HOTw2@*_}78yoKDoXD?e7>Cc$@)O_1
zEowpg<&~8qsE8^b4d#MV7^a*-(l?JueQkaHSu3?8`i1;n>5p)E`0p<XAWqDJ21iS)
zXX%Ek5i1HVP9&C0X~=lRI=ok<ey74)jk#hLql8>n-$k2w+$e>?^lQ6Et-LHA>vfFr
zd&T;;Z!*{PpT3mqOE>$_zjD*v3Y1?kK1OQSeW~Il_EpCG(Li%A0%|6SR^IOS2)aD-
z5I(RZW6d;YvIQp%o#kA-C{su;0#V2|FvJG!LtV*E^%oevYn3B)4s}9-e)%tS-117_
z1t}XC_A4~$+P`}Aefxh}fJ;IXL?JEVJAc~nG}Hc0KtQm*0^x1;xXE6zw-JNEuP-u4
zdAl=zmiE>q7*~5LcMxosSn*^@S;e{k=N%VRhG6Aw>fPaFpTnCjvcW_@CMVYyue4**
ztIOPMU%leq$i-x$@2Fx|KV{A^;B*(PdRM1u11t&&aJjOR-N%4t8XFxwg35Kucem%U
zd>w=YOu{V<28j@IF3~@g{~j|UG|V<})IK(CP5ya0Ftx41i|iLgMoaQRDEuMr76B$>
zvqtM{S?saK!$uJ+6klOML9&FO_qE86k415$d!yAf=c%w98^fj?a4xf*Nr>E$wT{sB
zHyPdo&pY~h3@uz;NTx%~7uY-eWD5p;E4p$@XHE6pd3t{ERHs0H558ey)@Rt6E_Hu{
z<`Ib0TZvinQI>k-ts@}4J3V8X)Z*^CDaF>9Gw^=7j`>>qXGH@(B1*f(wf3W06cMVu
z&-yqV#?lM%OOl7Ik1usGS6aH!s~Au+^`zr|QM6Y!GMapI)3dq|{H<UOM7?=yn{llN
z$(Y)!V_<-vus?HO?M!0JxaeT5w08=M8EDQxu%WfT`tM-a(lgbA4WpB$dIu?zAc!I&
zvwcW;9gg0n**=pt0VUS{)?=C1Q&*&D9BP(mR(|WoN+VbH+tZ33m!hJ*@T<)zW3BoG
zj5tzwg6AOjBWl)3B2`F{gt7U%D=%gK$B&ddLy1{XLnn1`iCG-$#gI8@_|=&rUl5c&
zNWN{=Ny?^uSsA%NFjG3ZmUzof8y*>Km*|VKiiUsZN<hlfODnw^kIkV!Q?oX=n{U)k
zyCSusr#UH8PPI#|^fGt|W%~ulY~6pK3(cwFs4bfw|7N;|ywK(x+yZv%l6x8p8o8;#
z0yr0*G1aZTj_QC3NF3r;?`=h?!n8FtRY_Y)?A_3xa)<Gav{@cjl&iaYVh5L+3Lm3F
zX8tn{wO<++a(>31a*huSV6m)z*)Af$s5PVH;^NBFE_h^X%f9Zi?OlgX1%d|0b-RUv
z{?y>#;&aL;#lw~dwdMyl1tOFxn*heuVL;dPr*Gdi&fBxz{u02?$ySo%YH4uHONezL
zV{LBZVN}<3`U5!>Lz5Y8pv_v9-DXJ#6RP#oStws&e*T2xyS{{ReWt~eciyHHqG^9D
zpDG`0G43zp>)#G9_1HAli%nKcio2!PSwf><Jc8ll4x?*sS_LN|0|>8F*FbV`maTE?
z$DPH=eHWZa4oBl#dRpi_VS{e`fca51>@7!NmvXi8hVu0^IK1zw4FqE2KdxTMY6+oe
z`gegNgws~4r$$F}a&wcuZ2XG&1`$p{_svhp?H$G;y^mmF;7}rb%II2No4ESZ>RWGv
zz%0~f*t5C^;_b}O`-a_4l;a|wM!xmAztJg8d=>tU@Zxiecxz#rAvZrn&q{Y$aWofi
z?7dIs#VFH4bK`sWn)-yE!Fd~NmC)6oLEVWPx<HsnIH}?Lpc9!)z;D$Vt#T?;wf%G?
zJJj>xYn`94bLd_jV$+<rQZ`OQvjfAKrb?|<Y%LeN6CT8Ip8~9_4r@K@^S`y_)E%Go
z*}9jm?&;h11hc1+8JsAmzMuW0T<ka7D%Q7;>xABR=*E(nDvGHGRlRw?e*>dZV3JKs
zQ?qt>`psLM3m+bQz~i){yszr^RJ|arPHQji4O_59(jzUc7`EV3<Dzu74b+6uGQ{y`
zmT&X%6EG$9sDCba+m!HSZ&$A~g|xk5$sD3~N=|Z=*0{Q)a6FDLxA9x#UqCcAQ(GX;
z(Y@UUJyfhvij=@r2<>95qxQeWMPmV%oA-GZ5zp}9PUZ^(9y^q$mE+?F<UN;OHKkIC
z(p`~iZ)}7Ka_;l$O*=W{)K{XbWYf3WBE=qzQqD8s32Wp;_l`C3e@6DJtemz3Nsoz3
z+0UWn7oCIU-!Q#-0CZ*I_15_LDwl=pRoEwA1EntKrAAx{!fV-3G+-n@9@vy(uYB5^
zQStnW6oJOs&J-egl2S5@F2cGmT^gRXQI!*;@6g}p+$f(F-E6#mgCIyoWUP=F|Crxl
z#q?7sMy<m*DBu#aBJB+V)Wu^%X<O9A<ypC}O5I~<QN;<=?Mg#3W}LIss<M5|{YA0n
zotnG)u0vZS{5c;v<@IiPpUmWh(9LCvZrenOZtma3&Z|rKXOZ+;Raf^iY;SFDdw!IA
zqBco6Gw_3f@&2$|S4k9Ak&}iSnB{8LDiL?Q!ua+#R#$K6$jkqGq~SujkfP(8FX*{a
z)7)!IX>st*WwhaG!;jtAcB=AO&aiGn?pI+S;>vwO*-PlwvcB#;EAx5yh3I=^bn;u~
zj*c?v6Jlwzh&KM8FBpwGt})B2L&VXUzEb}L`R_mmMPH}Y!guubF()?K$Iri*IyyRP
z@4ggn>7qh1Ht|~OT}OS)O)Q_U9!fs&_E;NHGcdSa0V6mSL!rDNs{4CZ2fQ75mSQ>3
zUf0jA$hKCs6b+y(B)Md)|GAU+6^jw#weB@#h5f3E*k8_;m(eU2zHC8B$p0Q|d3o*1
z{Q8y8b^{mqckIPOW4@Io#Kb(u!DWQvIYF_yrp@S!DQ~2l;vMWW;*_NvxzgPFD|51*
z+UfB$QZ@p+X||$~a;~F2KBWbG5o;}8Mrw)$HZuXJEZ&r5QpOi$u7XSJpVsByUVkB#
zwlhtDSU`+!{(GbZ3x$FP-`efI34S3=8`&w4qt|7oSojgxFuYoxUsZUWRto#$K){Al
z&NY=?+a6h|Qj0zqMM&EdbE)aOK#wcspt;BxO}+j)fx*mm)Y^DuZ*o)wziy`sk~`5?
z@E%#n6DW(sIx8i-{Tou#Kjtrnd0U2;OngqrvK_Cu_t9VEC6jgN&5`i?*HCZhLf@`v
zH<<=4Sg<EaVc|#WI|}}ayds66yxCo`#~V7m`O47S$u|%Jo6w(tv|3{xX*Fq$Pq?>g
z1NFab5leMeVN4k@FRerf`2aw9a2!Hu5N^Sqxbj`xMb6Td<A<S|nwpl@Ue2&4X(ou7
zfc#R^d_Mj*#7mE9kzMA++)VzH!MTreyECynAbkO~!i%2rG{u}J)OV{?_Oss_h_XF`
z30Shz^p6E7Uk0_!pMG1b`^+_1FJ`f%sdX2blbh)N3oj+77Sx6Uos(D~cOpWrP4n#k
z{=Fq*eMhx6^a}Y!-CuVe2c~M=t9?_M511I?tG4Y{1mz9n%)j%FGC2LCDqFO|EH}I6
zQZL~YZqcY=D$V<AJ$*K1p^i&u=QDR-nn|U-F{2bDNw+NGkzj&4Kq{?|IgA4D1!Oqi
zp6u+?CM$T9Zx2rx*H77y@3Z`~{F-vZ()f29X?~hH*wypGE3Q;l2CGdg>XsoyUtcpf
z2QGY%vVC|nL6=jz&_}Yivs0m8fZyivapUzlWN0#LJmc$%Dm=-R^h?=ADg$nH6&3CR
zNwa#fd!Awvb}B}^)HLi|)4jH%ib=#_Qi#jpDnx(hIzcXZ;QeciUDon-j+@`KP@dB7
zm2k{Pe?F<kd1VcO+~M`16WK08K3%_7{U6(Cb~w`%`}!`NKm!>Z91K^I0EnQKZ%-x?
z?LKy?Lb3D<aQQtQ;>G_cniI^I#+HzhV%}I6r{3yWtm{g{+Mf43;~?rI!xFzk%N^6N
z7d%m_5OpqPV`5gF@%xXM1l4W2*4M}!q9Pme{>bqt=_jZD=WI__CXG(J8FQ(5M`Unr
zFd&?05?>Ec{M#4G!U9S{f`Ttuc|P6SRsVXFtp4Ev-cntvh57Cym{KXJx3|uQeE}oX
zS)1aL&+?F6e;R+{Wk!KNzm`{A#}pjGyn-M94ky|<@`aIRz6>bQODr|Fb&AC`2KA7)
z(?0jvxH<`JRKzXW+BM(U&DfaGHV#fd%on$A7JVq~1OH@WX)qe!MdF5Pt@er}RDfQl
z^TFr!gYJ8pLQZXIDuRca{13YuDbZjTFVj4RMB=}19U5vD53|3O`kCc#TJVJyx6R{X
zU9g(Q_*P=iN&X-TGpWume{u0S#ie>#LeVr4@I7n^?lrw-#$_bE^799>RhS65TwT~#
zCd-1SVTKc!rpiVaae1`EQ7<+(S6a&|OsqBDjPfp#!odTiOvdVjwoHYCU1DorY<t+2
z?w2kbPIOBu{LQAGC!I|_a?y9&;owRmkyq0L=|pKY&ZgQgk*gaU{wtYrQ^49nKTrn<
z3{2<M{WJru<n5C@fGsP1k9I)aa{Fxu=v}Y!KQwgdVDSK07VD`h>qV@8L(ma4;S9(?
zhR}l=W@4~|mDoI%%?isx-V=#^?(hl#i^t~`eI}g(N};$9^pJkn0%pBZmb_lf(l8pD
zm`I8(iM{Or6$sntDV_PBFn`pWpf}f>6(;A&Lhd1z8g(pqg;tWO*)!=GQG5^C$7R|p
z*88xw;PhJZVsBz4Gnp`;@ny>l#!jaAYM65kK^f^VKChYiv?ZAAVB$&da<3491<Xsb
z8_K_nGz;~UFoBPw<7Qq_eKpu#-`;#X$6U+u?`4Gx;ZSwa3$EpW!1&^G+lB^R&P0?d
zDcP2HM&I)C+a)7XX~z3$_c$d*u`EJgwN*ou82pz@l}Exu6}1FiUO9ob{fQ~+Y6KSD
z+bI|=n-Z$R=|?my2O$sN-n+O|aW75fcr4a56w;9oC}o~jYu!XK6qS@&h-exgv|n#)
zUK|)4R8kB(CBbKes0WY_EA=B81(ZV4DI?mtk_w3MUXXJe3O|L;a(AiW&#$})keAN(
zo}(2p4|@_pq9#k{^%Gz;3h6$99tdt|0H+P>s!*{##tE>*{-7cSv^ptAvvYM1J!1vk
zpaT`ER`_36<Mfq}z{1q@y($~c$K+OCxZda@=yRid8KBL+fJ{@nj*57_<P}EL@>5!y
z-sLq>y1p1yMev5OvZEtUM}-pMLwhMV@@qyi8Z4!f&CGiGH<njI=VM}CZ}4KI_9oAw
z(rgp0^m-mDy`nSL?{%VVGV=<jK8<@o+5&;L8{jqXk5){&Ehn8=7pSVCfqAssG+I#y
z1-i7_SVbk6Z31mVd0R`ZmBZTRGi)CTE1(T0XgwuNjs#`xtcw5a3kv_^@o8;sZ5S$2
z9G(8PWQ{%hol7TscC?*BThb2J7IYtf#)j*&K-GY`4GIUe40PD!>8az><MFpQ-Toc;
z0Zrg}2W~*<tpV@#$9lq(58q<4#U<Ug{qdn`$(Fw7kC`w{?1x2vTa9}Rx2iDcq}Vco
z5?c<X`*=ewZ+gAAr0ul`br>hy&ZXXE^>uaR8_L%3dr147t7%rT?NyUC!1;gv{NYov
zx94r0b@FVq-(au5#r~#cdH%Kw@>gsiz+sRIm2T%PmSWqVMHV9cx#Wiul0w>9P6RP?
z4FxE;{lrd+*=?_uo3w#MUn#wGy}NK~7Q2}_LEw}*w|oluLDEPxt4+Od5#}dBV^Zp}
z&<Xo^(dDx)r=Z`T-yp4QK(89nstnY;FwBhVM(ZAjhP36Qpm64{Kb%90KXP(xYd3z%
zMKhM2EoVeLuG`a=YL8-hK+dHfEyoNBuPmjc6wvOVkxT1$&aLPqvEQ42XAmM9aiMms
zB=MQJ(IO^IMS^;x^zp;ogX{`-qMN`w_qn>#KSy7wnZZ}xRk-z86s}pD-X};>wlmk?
zo87t!az((6MXC-%iGHALD+bhPMO2L?I7sV4WBX2|pO+$^)7Zz`OY;gtP<08#MQ9OH
zduxJ5IlKOxp3OdU6{F)J#Z#BD>6Mu`9&JiQ5e?3%=bDsK7BN5y9bavE@6z-4ryBB6
znw;cZuRer4Tp7h>l;gAScZX%xFF+e~|9X}AJ7#&HF*u}bw&z+v%sB=F*uY4$zUPg8
zSm5g|NJ}$oKPusTy7It8zrkNz>SJ#1uTcJPK)@e^_!RbLk+Ex^G~5VIDjHgQAR=|J
zwY`hf($<EJ_hh)x=!SN_Zt24wv=*-6xTYbg-G@f)>V-qdayE$FgLuj*kQ8Qqkq#lB
z^j<9}weB@8Hpl+&teq*%YG{~NuG9`zpJ0l)XuGBvgdHk>v%FlA5>R34Y>!kx7$sn+
z>QtQVJ)~N^FcuRkeguqsW%V9dt)WL&DT2r^i9H8Drw5fXOmI=2*o=WhJG|OqJgde^
z<yHHJibSXkf*-C%y$?%sbH^%rO7hu)6SJ&9m@c<sD|Pb+U}``G>Be%^y~$buPQc^G
z|Do!=!>RuN|M8O~N=8Y@COc$rW$y?fvSrKOD>HlV6~fENj;xRnvR5|Q*~!Z2dw<sZ
zbN#O0`RCPjd0m|IJdbg|-|n|j&C+vvRoDfJqDxsXhu+H4n>6h$N{D2=oSJ1d=OK3f
zQXTSwzs4F|?XgPFYMnNo0`NV!rutae2}U?c9eQrd37zB~n}DW$1j-Rcmd})R?K{2Z
zkCm0MauWcXb-W5=mF@)Qt1q$YV4|x1?AeR2$$N8<*9K0IIAUM8dg0#Mkrw?u2pAi}
z?6u_+qB?Ss$-Oa80sKIiCRl!+y$w!ZnA!K_6S0YrM>JuYwIy=r-=3eZ^2d9^KwuUs
zamD<2@IyiJ6EE<uKcjm%{41VO6>0`nJZ1Iw)gP?2p3=o(**=?jqvObC`7`okCtj!&
zSFuN1qtKFtjmz&=`~#w22M0H>v9WazcNWsH+c5dJ9;h5#xe-n}voI9c8;Ct@lg{t-
zW299Zr~nxNG|<YP*nYE?V8axn#Pbc^TkJizxLd>dQ>Et-CK%eZ&b<cnk^pcUZT@p{
zibP1kgR<%fCk7uL<gP}n{qp3K`jQ_k{u+Ml@)$V^e~cD0hPs0qYPB~_qh5yg<_VAu
zp8wwH%Mb)~6*9!e-)ZwY{ZMm>Hkkl6!CKSNtOxwx8YP;0NRGuV*CZOEt+7<(iB=CQ
zO_dw8?TT*)1q0C)n^;5rz#mtHk8X<U?~U1V42G*I3fpkmtirE%*`99p@qt<RuOzR;
zzk%})wMS&Gw-L~xSx?q%J*~M*Pqe7aFfuS;3#anebp9%!k5pDxDl<e|S-xizb*1MQ
zd%e1rT<|(VP3i!<S?#Id<n|gg?Z8n1P@0jDMEvsbr}NvoU5w75KUetP3wE1GK0T^@
zk(_i_yo<8T!fWT((GhNQ?n6pt4UKW|H-t!CxJw34(QQeuQb~N-z2fSaytlV<k!Gaz
z)XC{!zhBe`24oJTyl^Zc5%8(pJ?!D|Q2ulL36!~DJOrM^kltw%2LFzLXb6o+%sGk$
zUiu}fUxj4r^etu@^DtpPMBM)o*LfI-P<U)sq^710Wdle3M@1*OcBOF_GTH>wiX3=p
zve-;kuR}WDBY1<zBw{ZGQV!t7hXDaGrlvso%F9!`l5O>NBBG?DQ1BPls=k`Tmv0@t
z$09lNU{YtrqYVdFPYy%(;vV!FG!|VpusOAKJB))y?M;cKmI&nD52wDoCYSWdLu|m8
zgdw#tc(qf<Q&)Y|m?OkN8|qk_2ciMdFDi0|Ra>`mowO2}<=?HdQ;&XZG~NZH#2A_M
zlHL|2N}D{4#EyFIPn`)y-O(8jF!CN>z~Eiv13H<c3Q%Wj5qZQpBz{r_eDGivIolNv
zh)%odLu4~^3YMI}W;6Mc{p!`F0Qe#_CT#Rer0%weo-D;7^lSJv7oe07MV9mV(VP$1
zY1H%IzfQ<<T;TJ&fIidpI|Ufr<B1VS*5R7ti76^7;tK7y@F|l0eNYPQio=InQ>J+U
z*>m5Fb(^%uOjPuKQ=aF$0{TK8F0K|EV?>WgAZgCyk4H}4aVvm3EStgNm%(Gm-vMmG
zJT-5X&Mg3gx)<y^Vq`pjjHlzp_AEp8b+)p;f~2~7=4$ZgjvR&|jsoqkeF`Sg8hn!v
z$co-vukU5A;FqrI2f{jZ08A=Ok~^4G5Y%d)qf>8YYr`SNXpq?v8O0qMnOnrf<s`U*
z_Uhq2W5mnmTKU?qRKaG~uCqw0jC?K-i$Bc4-62|i`W7e+5O7TZww2RcOj-3_!bv?;
z0kDOg|HE+(%^{sB>6ynQHv<O84m>k&2<0FOIvI!X41R}|M#y8?&PIk>$k2VYKkM;u
z_1z{Is<MK^3`}c`m@%>bKCeh|08pP=SmrT|9#@igyeV%}1|%^bJx<4<idJ^9zU&m;
z@4?}TXN`EC`p#~yxw_*Q{Lez6IRG6z-kDoUnoB2Dczpfn@eTUo&uD$tig{1q_htS5
z2|ht)K#n^(f0^1YB0e0yd7;C~OG^S(-b!P-s6p_GvC!%P!DaIWAx=Iv_Vvd6{QTCi
zbZM}54~Wh>l~8q0Qzoc+U_U*!U2`7t7L{5#*t)cpyHxt;2-eTh5p>T+2|vBQUken2
zNImS^haCR30p$ddp_`kkBp|!~OfMJzqXYNlvN8#y*MHMX_`D*b*tPds!DU1N$DlKk
z%%m}}g1?gK7lEV~q_rLoffWGa3W8iR^M2P6;)XPZ7swv}ra}P7nX}=}nzZjKWTaI7
z?^5WbALcUAS}_ykDPd33*74HIzke4q-acD&k%^i4df>`OtGi+h-(zN4f+^FVHhEQM
zMfL&UOuC#my-KHUNVUQ^N>Y9$ig<oRxb8l&5ZlcVQl^$ME^FY$y|53<8m7LK7j`X;
zNnV9(P?aeJj>kP$hR_^_BC~5a*|$O@!2JxSa@4Kt;hl^8IV|V+b#{E`U6H@AC0Rc4
zp&Kc@PNbfFEVN!uMnc8);q?p=QPAM%=(0_sGv}TEWH@^&xw*OV-i4EQe8|pjwM$o=
za>it_){KOP${;hlFL{s%8>6_Wh|c?|YQ6#>(?5Wv0&|XNaR3)FsZ<E$<+lr<x`XKg
zkIl5}u_YXgmRpnWv)m^uxD)B`-M)PriQ)y9Q67htuSg{hc{hJRHnV)8`BO+wOAAZ%
zANWmAQL9?}<p<4+Ct)SqnVf^e0=jNOnf3JoOdJgwINtGvKNutguMLu=bc^uINUtiS
za+$}!s>nAF&2iPVbbaIzS;O3(lVJlI#9((f4UMFf=_d;bKQ0rC7PJdr35}x5aL2KX
zoMe-I!kUE8gGz={j#Oh-G+8?KJ^4r@I~NyhkJmtM7_Cj*>L`Nm?n<0N$-<8xtgQL^
zMqhs|Da`M=6e)Te?gkCQHM{1S(fcxT!>4%Pw8)EJZ|}a5z5@_$Ar@^vLDb(h^QDEw
z?}q)pbiv~FlHt@oey_=t0-j#c^LRM#0m&naV>Ae#k+OpsCPi%F9{74v1+c;q_e8e^
z)Mfs7pj%1`($J-_f})aWF)=YwJa2#kw<Gh1E!@6f<tqGpEjQoX8-iCvp{l8|nR(Wc
z@^>ZrE_T0iQnOgXHV(%O?249H>;GWO2dSt;79V^AR=Yn|8P91k2=T(mPgQkzZJ%KJ
z%pqn_YT9qx==~6X+j@N|LuiZU?b*w%J|i^O<5^<5n|^<#4k0E?bc%l(h{KrrC}Is9
zlic7WVj4;x7Om(Y$0ztKefrgX;xPM>`T(h4Lzn?UCK(`OH5;>b>5!b}b?RJqsz{OX
za`))7a64t0B)Z8HO4ZeVzLc@;ZJS}z`rNyu7;WsZ2BFAJ1tqAF(PB7Y2Vax%Bc!4X
zdc&Y1>sj6R+HJl1=dAzF<^^VQz8lnn&2WJdNS;G`;<5e}sSlxXk6hG&`jGA8v7tHO
z1VR_bi+PF+$UGBRa)wifz?hpH8sc!RZI2`qL|E%i8)J$iy<|fw_wv}Wk*sFZuGo9X
zg@wd}LFYUNr8UfMDVG%gKHPNAY0npJBz1j_>&iH-p91dWiuAcP>GGa`v(E3en~vEg
z6iN0G`DtV8a;Ds`IQ@LvCVGcD@|F}C`rb9NMBA2X(oN-b`p-8*?d!3yz?tIly91}U
zpB8puknrrba5(XIT&u=ATEf%}r@ii@OKs_GngoF%77w%(xvVCcF>~h(*)>J7U|cii
zBs@MxZp$HJ+8~jG-S#?XjSdZ+kDIz&tF!Ax6>PZW#{Pa(xSduk2aX9GZ*Xa5o|^K~
z`7B28f&^0V=e$4etn-w0UK|8Z`20DYW7BOsUImV4=xt`$-3|5i*8<Tx5Vgi1$i?A3
z?nZb~zfVtjt-jfI-Akgq83LSui;IiWQV`gFgrC8Hv!Os3u52J=L9N^bmK0F5Lpf|U
zwY|0`Q!tE~eVh4d_*_%eP|TIx$i>EkF>MOZ-B(3Lpx}YIX(oq>oV7I^8kUgW=>udi
zAxKyN7prrS?byScjvNmE`vtT-SU7NJ42@Nobu@F<q^K;R%kfu#(}G7J8Nt74mzAbz
ze7v*8S9aZ8JsvwMv&YHN5gkSW?0l}0BR4k9e=N@H4RgJ{p;kpGzLT)IOKwWo8TS4n
zK5O_!+C-egZ?}(|mxS8b-@kvK5jmV-(`%tCS};iP!0H)?YpOlhoE1M_w8Pcd#6lSd
zKBAJsLSk|GPgXoraFQBNx^@$4vC73#zuV~WEmXN8NREj<ZHd9ponan#zM6Ez(>hqi
z(sLt0nv^)x-2P-a3Aj-g!0dE~e}Z2Uuo+5$2?w&H45-n?`v@fW-q-C*{2vzptavpc
z9vylbP`@I!djPRQ6vKYl9X1;?GlmR0%umRZgSOqUJrwT#hIjAo<6(}BjR8qCK?9<@
zKLuXz@#&YwjQWTT665AG$ZC%Q4id4DYx`}DGbj?0PF)p-tAi=LkHJE1kjuK&@5*D5
zlcldIoIRq;A(gO&T`tCT9C|^F+G!;Gx3=;%DuY-oeSKdxt5kw7*pUnS^#khR$}tmg
zx>M*9kdWT!sYEJ0rdpF{uD$}ASNqD>OARF+Xvz0X;<WElD{`v6od6+!Dp$y=+fg-0
zg$D=mpUnPuxI7c1!)jXGg;xfR{`ZM@8LYq0;`|wp)-pX6_Otk*_#V354N|pw%f&o*
zd!j|C-?g+Ddn&aJz=I~MpSLFTDA5F1ozhP&dT4!~)~<gHPnj3^<VYbVQ^7Z5sHvCG
z@TkT9Ke802ij{OIG=9#~pcbvGnRh|2vH}ce2)6`|5lBzii8i;kyujZs6SC-lcwh#x
zjS!IJ2VQ+=`f%7FR~al<$e=pg0#pb{9f2zmf6FNP;Ly-(k}9EQ7o}E~(c`X@jxbPZ
zG_-egbOu~oV#lPDU4en1+jxzYQD>w7Nitu+k7&dC^hHMg*H8Qy0>r3hR^o;P?SrN)
zr=XzSeo{5QA&DuQKOgOP_e?O-AHVfAWq|!t0;(kw(e3RHmHZ%>C@kW)oO*tQDDj@k
zlBXI||61|wy9xK01=D&bYsm0Jy_McO;_s>SY>NS%%#FCs-mIr`+Gd|8d$4uL9hI&r
z)o^(gR3)6)i@?C#-rV#=Kr%QS{($o|sLSAXx<2Rg=Nxc{q&_PvE9A#xrO&msv`zr?
z$pq|dkrP6r;KdH1K^A6auR9mj9BpPj`cOWP<oNXVv)12<G-PLIZx)WXs6T&xUoAt6
zJ>Yp=s0e>KF9qWontZ51rSvcROIg8rF;T<xS5+VBa%1NLe&I#cQ`xFNP`$ow_=O6S
zN=>djX;XPpPM_-Lis&{*)C2D0^gYT@Ll(l~l9F%<>SZql%AU$N^Xv9ZVlr=T1Vk?d
z$WL^TnotF>^oU{J#wI88tiRL}Vp4tS3^YpofRVxt6Go<%{1y_Xpv~eITYFbKOJaZV
zy*&&jg%yDO&d$!-_ul^d;Yb|_Bw^~Vs>GiMp9R)WX{pVRkwU1V_fO9|-7V<v2N~om
zWsqbxw&3*jy7q0T`pG;F5@uR_w|jc--!>nhNjXsifx{$r{(l;`Co+mjmCr(NF?_4Q
z@sdj7C&RiuYM7aeYZXWtz(5%M;9}%MDjsAN1FKOWBaznpmxq04!rgSvcz?W`W^HZB
zsWkap0Uq)84ZXK=CUl<csl>c+okdrY$W_dCAvOIRz~Evlvnrg#5Q^{|5lwP#^1lHb
zA8d1B^7D?CY<6r_0J({zAd*pCU9D=tH<;|{epa^CD;~!l4#i>N?n*0&&8(#)xE4qt
zmS5fe={DW9AYps4ujn75iv5<cvup;v%Uq64uF4k-gKeNqwN9$Gq+~mv69Gh(fEg7L
zzU1Kjb>5uIqZg#1xz^!!@7bEiBXP`RoX)5OWM98?z>>th6VHy*j}*jF)@Z2k+Chw6
zC>19@*e$}DhiuCs5Nm=`LL9R<Q}|SwEuGtPOhpO*@ArZ7#rw|3N`&n$L_V93d;7)k
z)uZ|(Da}M{GqV9MMMyU!1Rhwf{giNcugX=D?5O~`;*Xak-{w|9NsGhz3KSq}OmKjs
zrLP#kQn9GKBEDAfqPXZ89JL)py0LG85Bhu@UrZ^#_rCj`5D6G?Nlky;-gC7_Hl&GS
zKy>f}614SmJ{EozS=_rgiVV1SlY1(y;0OV5aa`z9G6F0$gGmXZMX#N<??H5=u;w08
z4vdc<bu*Vi(k_6!tt!I*K8}7mJGTFWvHPKT9ER0aeApe}al?k`r_Ibt60to+Pw3PX
zZEnPHmBtW16+CKI;FKrNzi`Y}mdSgfX0x%RJlRHyc@cB9kZ?F<?(d|`hk<~p$GZN;
z!lq;K7ZU2?;hbE?mju|4Q@^UHJN;bhYBM^v<x3CmmCdU~=bLFG!lYueR0zXfa>~9F
zj4i$-9tR_cwuRjVRcsVrW(1F~-Ur(SPQW(7tkekHCZ}p&vPERMt)w(VeCV46`hTC|
z7Rrbv)R0Q?j$%~Sa1d#N;%vFO3Le9c==Y_6Yh$^BVXa34PBT;it9;FK6j7bHa}q7j
zJ<6^x0lx*Ds@#Z*$C75!%;nvMOt8S`at%0v9PgYi6r%qelNY}p(Q=i3WD1=h00y{j
zw>#~C0@BpCDLgUu`VBhY4Vq4B1>K`>0XX+wKw5C*yGLZG&L~(^nAs2|>J9t};1hy~
z16NHw0&tWpuR|@<3~ukZe}t|1w@Z9|28Nq$;Oy0I=-^^w=|#E7%H5zAw#5_#lm}Sb
z3uO;gfMqP2!)0G<OC~-6gb>OAiLrSz?P0E|ny8P$+5#ChPqdjE+gk?(#a?$PWr$WW
zkEeDxKr<NJtRh5Sz)+NwQyCf8S6%0?_Eu~D19UmBXIo|GF=6%@-MLuz1B~$Ne-zoJ
z-uU-C>6yi3plvbcsAQoDVDErHA(9AkbN-fxl)w^vV%C>wm6mmXOLFxZ#$(AB(z%2B
z?3#yN4eA@3-6A7cq$Z33nu$)oE;XJWVD0_f6~|si=ez$HtoUenL~LJ*X7w{K*cMKC
zvJ;Vx&$^-%l4-90Z=j7bdWbnu`!b7GRtaWwq!@yP+56@!vb_toA4*HNUzdVM3HqZo
zqvRZu+cQ+;cG!!D8Wh3nG`uYI{`JaJ0o@zA?Z#vhgWqBlacH<!s{L9OhCdTg{4lsA
zuC>h{?9SiD4r6xsB<Bh!zS;Quz5pYGygr(ikrbyN;I)l|#EtHM4<LQ*a0d)pZ>G(u
zk$v?bCNomNWJ=A<JWFH|P$u#ErQxtq5iCXpQTBhyo|K{AkKb{s613Z;zjzR&=un+8
z+Sp`2Kt;4}4n$Oj;2f*$H|CRrNw0IwQ}Mo2hDy<J71xl3<A^Au-h?A?F*rydsyCo+
z29xlwNSy|R<K-X`QvuOb!MZ-@2W*}T*P(QE$U2>d;tE0fZTUQbeGZD+B#)Z^y=7M}
zMQB_cZF-jUpBdla{n|lv!vCHsT5Mv>n1laA)o%tBf@QjePQwRKwajXLU$9LM<vL=_
zF4^8-4SJmz$v3reLKb&&^nGNOuSsvf8H^dqG+D@(@79g}G;vrG*{Wou4A2)pl{JSU
z0j}_`0jLvU`lpo${;hX(T^FF3$EcM&3%|Q{?QHn5s28~U0UZ)vt)lk<Oe_O1(s}Aa
z!aK}>2nL=L<p$#N@;wlPS!dt(Z;bAHOOZ9HYWSU9#TRAqMZC-!@y2wT&x$6(bi;S^
zG+7dRmVXjw7ZB}E&fNGUO|4!|CRe4ENKh<v9{KR-t#*T^Gw?0MGwHzOMycSoq+RiJ
zNDfhm1kPwBD=E$@b+6aSeccXykrbIMHP8CqW68bUEBmb>W^m5u1=`e3iP6Qm9e}mI
z*TE<-XWfB&J#dO0A>ylt%utYF3vdQ%YHARbevLIJc9q#+4nVY`1lNGXk4StF)g)_D
z1I$<85`Um{YWwe7;iDo7dWCm$BBs_ltR$tY+Fbg{t&8M0=I-6`j1(5B3BB%{M~ZD<
zsc^+GuRoA_<0V3&$b4lcmq@BYlT^o`w4p&TLrE}&C;UO6b=Uw2Ro(O^5HHl#xrOXn
zw&=6O9i|+#nLg)yG2@bS4C^v8RJvn(91hi>80JV`nto9c<T@cy<px9@tNY+M$gyn#
z5aq_fEC_dbr)}FHt%?Q{`Q(7#Z3B!yuIph9l=J4ZWwxFJUHVcu!~n8;go*SC{#T)1
zH|VK^P75*0Mc8W{Nr1c?v<1PyS|CN?Z<r?7o+*FC`ggS1`tg6b?zE<>HjYIQ402PP
z;4MeXFKq1p-K3Hj=IW^w@}Zm&Zn11vNPDKPer^8r_wS)~u7s&)TWsij37<YwsVUw0
zU8NmsjH5X0pElc7sl!63IQ-T;b&*e)uR!pWRqRnf^x`)T!31TA>Jos6IIsbnf-zzD
z6CPa8qQ6(|!Nqozv{D8Wj6Gn2O=f;KP~6<YViE|b^ZnwqH<9oj?6zYhlmliIh$YhY
zVQ7Elp!YOr9q`5C=oCqWJ{YuN1Pp*WF|Kv6VFNMb0}*2|-m_Yp=fwH{aLg90p5CLe
zl9=L#LPBxL)W`AZwo^6Wy>c3$&kkr74E7n_r7;JAIO5Sq6@c9a(jSHfCpm`O-)~>L
z6@V9*@%oJdR=!G&lfHh-J9;RN;IG4L=dk&$b93zUL1kLaylnctvGiPz{5vU9Zx7tI
z&KnyQqj`ugr(s}VfU3nU+5XoX9T4Y06l2ZvaAP&oYGOv~r%zu_Hq!jwmR6FM?i|z*
zwgs1j)<KUhAW($iJyCyOTx|J;s?!dsx{-1LZZ)C)@sSZ7*M&etfvK)eW<Lod8vr=I
z|HZ9<nhd3CJ#@;I3LbuNIlJ^=U@Jw#0h-ne`WBEW<LiB|37doO;<fZYr1Cf%>QJ?}
z{JE!?B=wUvx0s6EW-@m>jcud>P!uEWrKB0V4P#S0!{p0uA5T0p@opY4kaAZ`P&`gE
zc;rl4pv>@Lu%Y_TjnZ<)1!gXEPNxei<%!q!I~J+nGNz_}?^&~%3ulM#@<5QHhU+~5
z#@_8@fDq;eTh)zj8TC;so(AhXaiawm&R^+Bsj8P<X{)3-Ea#>q!LPg12`#VbrvH%%
zWq`5P$FrY3Nx;kWK6ekz>Em0(PR$1w#%4q+1~32BX4vm{flv#Wjv>(t;GaU&0?;^M
z{^<=(b*IzHqCxc~PwJS5nAUS2&lfew6`t~sG;?o%I9<a2dlLBev;5_dDdtz<@nl5#
zTpqX1&&6{Ra}duSn0MM-j4R!M@&<ev`WJ&Pgn)f};_1En@-!g2aXXv3H}8jIeJPv+
zF@w^LZ@v&I<tvUKK&jZ|qxxDSKj?`{_L|Xq%CfOz`?$-D4)YmMW2(%S6+A1hYr-mR
zd%0CJ^2_(;Jh8m7qPqI^z)up>e@xYR(!5^YQ7MrN##X#JSW<4_;q*Mo#O;g@#HDAK
zsJNga?(XhxT?BpS)bE20W@cuj`J9?Mg*YzYRMW+EA@CS!`Y19Zsj061n*6|Mu_FSw
za3H^$usQ_1E79Zxa=mQF-#(^<qVx`nrZ3*JI(w7#lSGD4plD-e!+8n|CK8rhyutrS
zN$KV69kA_w()PuAneKdjy3PFgP=2B5<ak>ra3yQ!z&+~ETngBJy|>h`nVS>(5!^Uh
zkQ|;fkvOf#LI|gR|GI`>Xcq)?KSAx34pCSn)u*YvBnqOHWic5)-WTsiS9WfVy6QI;
zNjam}yA{HIZctwqIW^JZB}05J+fHAZ8fOld=%UNw!(py~==Ec1p&yYOzrXaGMb2IY
z2nmcG38)+a6uChTnwtM_o(UQqO_C@HYD6RrAlFRu_H>=Y$<JloGRWF>0?ag0@Jr>U
zIIgfGKp<fLh`>|BUpu?ZE+2#8%WbM^5RLBm{5j2Qh4IuCs$U>Iad92*Hmq3l4nekG
zr2@gfRdnl4Po-)B!ZcB^%KR><db3~Ue7`RA1R4O)Z*{ue;~C}xS>&dpWu9g-{#F+L
zx{+`;X<_ezyR5i*%6ihV@QJJ30qDX2cFMa$K7A%?pKU*5fG-B3!`E5EyXDkAsrez!
z^!|=_eR3RAk`jx*;k+#{i4%|B7wnrZV8<aop^?Kozp&wY`_8ovxIjPzFi)*9?urGy
zs?BaT9H=-{z%RIyAkZJN2H@Pi02ZAOw$QSQ;~=VH%xt)0-hGWDH_d$~<^vu_h~NVN
zd(XA(V8E5#A*C<Vp^qO?&%!7jL6ojsCj_pPFlhb3#UAVlz)$@njD<yy=Pzfj?tqHf
zuIb-VgHpl-eZ$R=q9Ud?_G#xe(#{OLrhzAg@d=Y8`(NxH<5MlIR(G{3xIB0}sUqEz
z%oL#*rOd7O%M~aC7~@z+r{|YrR;&zEC6t3pN^b>Jr6z@PfyJ)uO?liIm6uaBi+n<P
zMiN#WTvk{^Ddb#Q5BRyvqPU1~Z6q&WyW3a3<0t6-L+x`V%^fo#5_q3ry*>lS!<9Qa
z<v>%Tk`_hgkjmyN=gP2fg77R}zH}MSyn2_2=pp6}ws4p9yVj6f3u1cj1O++}YG1rO
zhix}rR#sTZ4_qMA{>*cLe5|KG?7=UV!~~6o`)@Iok+{bqZZNP8@A>@iA@E%?2#@-+
zwJi=}g>bu(eY*;~n9+j3tD$sdu65-6W*!9)f*07fK*jdUy-ByMHre1vKAS`@^V8KF
z$28@cCo)yZzWu8Q?)YMfoQ|)?XX@qI{n;bB2DqKWNeR<J+bZLoatL-sABE(&{uud`
zPnMFiNM?^oBmHKdXmKb%#6E_09r@s3*#J$>!P$PlhfpRJ{f9u@AfKh6FU$6r*&wH?
zi#fB+yFp1GO7mrO!R-P87oko4?tKEMGC~^wtrhO}v~uVynEZo&Z2GguzhbH-q=!rK
z+7t^ntzzo2=DSbYuRUm^I#r8=M2R{eD=xDvJ!@Q;!i2g0txVR<X|_O@7tGg#;O11<
z(14Hhpd*$lTvP6&Sunm7_Soj*eA`=oRuYyxaAN~%d$N5S8^Qt2QV-d+UMbxm@BD_f
zn?b+>KXKET4{QGpP~G85+RMI7VGsCX#6$ZVra7E!JiUo*3=ROvOeXyVAb&UCK9(&y
z^DZV8TpwF=7vKkbItdaC_z*nclKsJgqNfs|n=}xc!ra9HENLQ+Ise@cC_a+Z{Cja-
zh81R7gpw+LloHf2kDrGMkq{XLQ##tJdunzIkelzK5>4Qt{64#YVLP8D?p-6&>%q4|
z0;cjOSNE5P9kWOkUQ;CH8WDBSicN+ndw!8#ruDz0mHP|t5#6Ji75oSZ719SSmzTwc
z9iKnXSafWxE$$Sz5886UR5bE0a3H8z>H98!d$IeIHO>(Ph9M3}$asT+fMl;48G3-a
z7F4l9XQMDXdGEY6`B-=hog<M*kQ8SQSen}_hk*C@ER%Nbop`qD+uG*3{`=yT<nqm#
zLJg;Q+SuVlq`p%M1_+NIM`hTw6FrEx7L1oDXW@mQJ^&`{QnA|Di`IV?m=JDYQiVV0
zwDY3`U<ETq@o@JPjVP$_-8)6vn?*(SX@8n@cjoK8Kq6Koz$RR-_5K?>+kW*j<ui_B
zZ_cNmvx!u(uT_KC<=HhO38PLah1v-Q4<$IFK@eMh)w}Tu+N+KZsmz@rt}9f_=QC>~
zg_uU9*8<`2?jgEdROF68)qu06JuvD(tSTa;aGh3=?+gy8kH3cGp)5`TQc1RwcBAVa
zXbA^~hALrYLlN1evo91Bc}PFKx=&VwEA;OH&=a?@L(U?tEEBhe6ejFH3F-%z3_P=y
zL1#!cF~(GZM@T>-2qXKY-)~*sV%J7RFXYuk=~igQ)5=z&HFnW|vk7>uSe{S)JnF>r
zW6muOtB#)ieDj-PI8|gB`Rn3WaD@7Sf$Yp4o^L*ra#^^jP==E^+Sf!Y@aVL+o-(Vg
zT3;)236r1GY8ax(`42`^qxR7*=x>ybgAVE~piD&}0c{AIYPmOkoXZ+83*eSLgP9$K
zNIX$du}hA7EPOBmbRLjc{{R$82k!C0BQ5A0fTM!AI`gv410$zlIZ+$vV|Fl36oJ11
zc_dovcKxt1!1*u*uDIuLo|`m=?O|wb|9dXsq50-8*L`7sU4F`2si4A|-?0^Mh*&PM
zA0S`SsAtpn0`Nd0DH6Ts@XUO=ha}E_z3C)5hXEc!<K0g;+8}wJLUnq3(X5BS;lG;D
zt)=pOt&$RxhOe(BK2vMIlpg~A4+vV?U^BrKgC?TbEi;S9Iu*nmEGsrQc3p)4=&jj`
z#Az-vx6i+keJud*Q$V3rWS|&ak9bXwX~QeD6KvB<=Z1!mC=IFr_zsl>x2hND&(<IN
z2mpy!-silX&3h11!l4fWjX!OS3}9pc6@k+~f8;*=tRnu~AE3<<UJFE^pHSw~*HXDK
z*#@&uFp$nrq6tv?AhP?91y9dE%(Z{gm~S4rSkAI>bSkM55Uz^qcmrY93N|5__MbEu
zxbK(Q+eVRgA2n5FE#@nvaCq;Onx`5NQCnhzQi~|&T3I#QaN>20p1Um&gQ;Ek?!n^+
zEDRY>s?8)_EDbR365)>$D#S6`$N4?2)l=1Kt0a{IX<0EpU;+SLQQd3ZIl`S7=wts1
z;y)mli4bsLUp8XF6a!SxW5U7qYeMBS2=X>@JI3-aE}#jJP(g6{r)9cLK!*dj1z=j%
z=Hz_e2l5BN*>_1u<O;C-%Hg1Z(dRqOitoS`v9Ywgj*bS;7cmuqhP%mj;nQAY!Ou4T
zIG=9VejAX2eNSu+s?Y_#ruGk$5cmXxA$+m_|3GN|HNF_A|9pHzsowfm*ZUv1){Jjt
zaGBra(nXtp4d5{}0d8SCBd2lV<gf4poK2a(&Nl*^H*)T`F;ChIaKY3(nufHAyho@;
zg4dZIe=mVqM$!fu78P{4*$I=La&NOfMQ+W9v#vNry{N#Xnt5>@gTmx@nxQ1F$D5jT
z(22B18}Gi7U5(gS#72pvb=Y0`2yY%jcqQnqPzc2!eGSetc#l_S<)}G+ZX{Dnm<n+0
zP^NHC^}@;Xdf^h0uxxC)g7!By+{gN@n1NUF*oNtPLiVoD<Er^e)37xgC=9&e{#t2E
z+F4`$s$%A1i%ar*rs1@z1m-$V6|*+}BjHic&|FVUG6tiLCx>qz<_q6p12MQEev!!~
zW!-48zi%R)KoXJ!PXD`aW`7flPz**njRII*A9x!D_ah5BIr+NqP`0j#Fs<O5B-vwl
zJcY=YI$ok}-{PGiKe^-DYbduG-}9>T5{)nc1Bs9rgG?SH*IRy}Pp>}<*=yu0hIV!m
zwoKLB@2NCTwfWT8x%le2DCz^HFQOq<Qi3KatLnD;o$0l6BchlhmPDY1>1&Ni)HI{b
z2ds2Nqetj)_fip2ag_=uH0iP_4#%z!Zuy-y>X%nDfhGV9FAB_4a~Nh`V15#RdZ8Hn
z$UU_~K<wA9oV}3sn>LX?fOPFhBNu}_+cBx2^8hu4U3yem$9{+eH6CX80wE?<jrA=t
zKwt_`^R(=fe_kLO2pP5}qs~YgufM%}H`v+*;9dKVhBO!NrzJxefh6(N&S#V-hMN#M
z(-4dKpZ=b;wkSeH(57GaWB0!Gh5@`_52kv_PI}|ev|foQ5A;x(J;YjaWV>UGGtBFO
z&EE0qA!XbrM#*rGuq+`NtDk=+8ur)tikJ=Nk47iu4`zSZSSPX=xf#UWsR`g_3DT#>
zqemB$kqN@m@}>QnB70oPzPhBZFQ&wI3yqVXsza94UK5RU^Af2{3zfc+6;`mmk&)$`
z`&?1O;nBHDKK>K=M3b({ujl81MY>K+gt4QwvtCCxueI!-eQR-Tl<-DkcU|e?Di$3)
zUI~*#O#Z=Bk%N$luy$(WNv|C0%6iF=k}&&cYh#IUladWK0B0FQe^pw7PJT!R9qrB5
zA1-D}X;vto4r0@<YeI-O30D(#+Z$9oH<p@~V@?UyP66<E>DpHJ!M`D|+ooBQP&8de
zk0&7f`;zeHFIL~E+YwT?CA(U?kA}!tm2PQfpwVpP7(CE%b%P70x>g;e?se0ZuJsvs
znEcB};|n1cKizKH+0_qgE!#;=5L|jl(2h&Sk_7Mi{c#$0wvv+R>%7!PtIFrgHMV>@
z5X2kR8P=YYJokVtdL>0J^ilR3es|8T%P5;#kJu;~0!gr{QVVuLDbt(cy(wy6exi^)
z@D%1Ps;UlLbGHIs;J@faTpH==5>2pB$)vWqs@9iKju<F*AM)%jh|tc@r&CIz__`g+
zw=bfyOr%=-t>lM7ypV#e7H|l{^9QDYV*@^Z>8rP&*EV$Fi=pYhgdZrx=Q;9`!VGug
z5|P|{`tI1cQLI;$ts8{$pUVxG@6+Ab&F&<oGl{*&d&}x>%DhqP3*ZnD`f$!i8*QV>
z<CuK8!zJzGtZ_3jEGJok&OE<qP?W>{Dry%~?sE!--1`E*RybYS`X;y(1>KLr@{$Gn
z9~?HxNZDbVOkKT%{wR6&g$E`XXWV(!mMtH!6@elFmc#uDKV!ie3RcLBY6cPFG7}j(
zwH3tiun#Ny`<eqGl_WitG2Ug8y8q(>taO{uIEsZz<tCcseF<$<JDq>cGiqf9@nE1r
zxuqjm$)3g#DjoNQ3>+w0VQQ9|{{VZ@QJ}zU!HYJlzZQ;mswlv4;y2}v1CH-8ey*Ib
zD(7sdQtDQJHk{;W@bED0;<k6Q&r&lxI3t4NrgCYLJ&oQp4a2@rq5pcMHwqQ)s!mkZ
zM1ew!9J1}wU?8C5Tu@^&nJaFMBeP4!AT`O%d%hk?rScg?-m4OKV;(%lpuOs_n+Ewd
zSC>4}YF$F?#ksV_vXvd&-Bx$g=G9vBd~E%0t{wTe9;1oqypmpnTsUX~&%Ax;h~iD)
zktUkllLdBP?ohjQ(X(VlyZ}Jf81H14XQ3(B4zDlU@};Jw-R~K4%6P(riPpv*|3pj%
z<EdkTpk~K+;^A`5Hp9(l?ywnX^gy<+y&jp`lDry%V%1G@<t{d7>A6<I?TkW|e>Qy0
z-}PMdu!(wf``%t?9N0L4;4s<i2rpF%zBjLx6jR7kw+2EDr@&pr6G-t+a2tMz#M*A?
zcHi?6J+!E6*jEB+w0Ie&#r8^oA~TUmBjx~f(NxdF?k}ILbhBA1F|JT=<dj^W`CSRC
zC1iXniW$2t9NQg>3cv!G>M+VyvRKBW`F3uBa{JXo{gL;n`S@tmx#HY7kZhZrZ~ioD
z?$wiWhPKD7g8+yGU5X*w(XGGcdr2rYH?rjQ%)o%Mp5EMlo#sfIgMf%+u1ccGgu&R?
z)R`3LQ~g_7bZ&2vB74=;#U0a&AY3E)ewl##aKrCQ(>6!xk+jf&W=QL=(uDJd<B1i{
zgqA%EbVp<9NzG^6pblgT<dqMSVdTr`lkE$Q)VNB4^61Lu-@<%4zxC%E*jCYAKGtVH
zhBC}ObRSvC1CE%%;2A@i)gLTJg_`H<Tilx;a|wvNA-C=tIMJAM^ZhmP!b4;GCxH`@
zKDX}d-a>zLiQ#TzT=5X;$G3ao{&sabd1!ap+;U6LzElyKV3@GM#%w6pgV1i0dqrIl
z7KHlD8$x^rbk{Dj>ug{kumkJ`C~cpX>hRCTXz@;<KE8j?9oL0wS^BdCgd36bU&E^D
ze-pCuL3jpFH<rQ^Uu;-Lg<zPgllkk)9r?C<dKH=`#fKrCtNXY8t@pkk(!I18Da@fu
z#BQa+gtJ5N%?9L?^%{%gOtcac-jh^(og|#v<#x|JHenU~#OkIKqxD|y8h6YVTVX1x
zq#Fwga5dBbfxu#v31wzs0c$#SYn}8?<QvC`xt**!xBmt9`VBgfp`_k5Y1oFh;|-H@
zf_MzVF5vj{n|E$7trj@P$HMRjkC<pekDsrS1z(B|zIj*~>hRx^k)JgbZaBe4AoQBS
zRvkFdsn4~)f6Hp$qY2(EO`N<BZg3l@kc$O~gQT9H$o15x{~(F>QYZ(bpx)0O62tO|
z%Rqu~t1-2kZk?<`R*e{DFQ%Y(zOry=&Gjm*;Sqt4Y6w~n5}a;)F&SV=wj0KUdzcbX
z8N=Va%6Q*m^5UyDTJEiK$L=&j1MwaUqX!;NGt2h(pH(wtDBTevR~+87N%C&ii+$TQ
z7iN$QK?q86!+X4(p~GG4=>J*#3~DdWHmNWp@c5z_VWM^7IqNO<*$z}S(!)3Q%8_JD
zM<*w+e^5^z6TS&E+`n&;?0y@&n)(&gBRr<t)LTMZIdlrj$=1*8>-JAPU0iBYEL?1Z
z(lj&;*9o&!$*}4n4<0y_iw2CkcmYrpL-T>(Hvm~jL_vG<PZSk<zwkvHB!guTPH@zU
zu2MnO`}a=YR>5Q_)Eo^(^?Ab?CaS~{{Ezh^5eX&&T#A-c<foVphc}aYM!$XIyQNN4
z`*Q9gOz+I_;KwL{@sRLI`!8@Q054TQD=|1Y*hH&TO~geYqeAoR;@&qC8V7S8-JcTA
z17kGE%nfR=fRQ^jWtl&@@mA*{%hR!`T-KU`T`8<SQWBCP5bEsM%N3fZ#y^Q%eBu5s
z(;yicno2>5#}Z~Tk<viZX$L(tyy{D}6WjOC_I3%3BEh&8*cgse<a&>ij59bNEz2Gz
z_z+62wA4+4?L<Cr(74k%qz~E)WFW&O@HP@?mFcMjWlhD6yF8nd@0rtjgW47VOhhd8
zP7o*d7~$(IJ?=oPqHtS^0p2wTphF~Bn|=*Jyr$8@r@&#pEu+hqU6B<;6_5|#{n5dJ
z);i8B?&s+^4|_1!3hG!*wBU_PP{Wd~Y!r%_&P($gP{Gskhw|f-?fRE%Rf<Aag)2DM
z7%<3weo63-e6Z>^bXv8=2s9-o{vTp(>_Nf7U`1{~glb_A=XxRR8N`n5@b#0qRf=1@
z<8ulkBH!^Nu7jQ@>&gZ`Sd_`5K{=%(#eddZ_yF$7--|@@6A*83_z%$JU-}t<DC@8)
z%L^#AmnaFtG9Y9Fd~gtRS3MXtK<{V_hst5Oecc&i@DKY51qs&Ryio7+=K_#GQ81lH
zCcj|aC=|gdiox#tH-K2oj0r->^z<lttH<T*d>8$DSKWFivL?8(d!Dl<(aM6e$qY-{
z_`#+M!Hcwq*~%#2H&sH11f80?+3C4zi6#x&r(e2UoSiN9c(E?U3=*LgwVT8#WS5uJ
z)bJ2ogS->L!RL7BNj*+NR&S-Ns56w(%9>T<RG0@FB2Xh8Jy+;eSqRnDGfE|og*^_Z
zoyMPoZ9KSny3mok?f3GEf`dKim)nAFI9IrP)Bq8J=w#R%G*s3w>xPeus3iONS4mL=
zPUkRKXar>sB5H%?t@j=4{r`D2Q*qtibDfrR8IcQ&85Bgh26D&@#92@{*8w(iy~>0m
zrLi-2LxAe@f-O4O!Z3a1x#V%KqhIt(=qjpVwm~@m6H+7L@-6*W-12}BrR*F2okVWu
zhgu?Z=~3a|+%lu2asjM*Mi;(9sFirBMdQCQ)>lvT24yaNsT8_@snJ9WoM6EBA8|VE
zSP2iW27yz=U0x3CD)Zs|7{y8d)_Jg2n(0o0`Hcs-$3ABruj&`^7?P!*xayXv2WuT+
zLxF-BbYmCb(<u5og@W?~F8aU2&mhPE2(Do7+t=4OJ3H$rV68P)QRf7D56l|^OBDq|
zo*||RT8WCo=qN<YugpLIdkCzf)gho6oS+lUzs1x@7MDe*5xzRwSkR!2lWk*1i?nZw
zugY~nQKBA6ceVa#SF05`3u^cvTyl25r11xnl}513KP{L-Pr%@`;U8=VsRKRc*|%dg
z5Coii1YDJmKzBwMhy8qu;UUrpn1e#NxZ&Zmo$f!o=o#}suv#Rsa~sh7`=~}3o=I~r
z8sTXCjeQFk&;cWBjH_4S$e8U{>PMdf0WitkyTauC;j@##Qm8~9qkPzzc`tyE?>WYR
zQ-+Dw^Kl3TGuA5oT7?;nRl}dr2gi2q^xG{*0eMs<>+jD@TE8k;eH|R%oqCGA%oDWm
z3smvHo|<cnsXKWKzfz@31?#jYXdq)IAz(R{HbSmlnqJ7`-n2fJ>C+RHapF(uO~&6x
zf6D$?U$0w?6ohLLNw90f@rKbAszoUzs|8@9OAs}CnHMJG|Ecb|lA@qq%IBGy@cUam
z!nqm;K9DUfsNU+U5)-Scnuf&jJ>6xiTpCH{eOaPD_4XshmE%q8d>gX~s))n~OwKjQ
zr?>UrlRO@5-#{tz1V~)m;J;7G-U~`Ca>cX7qf^e-nuTd4-m<5O!`8&@>OAO4Z4a1y
zA!W{F?OVyIge)4jdXI};cpH}}!_@XtwL9Zf#<t9d8KM@Skq<hhLJxJnlbJjH;zzrJ
z`!b6E_uU!$p8Jp(2aMX3ul+#WzUtd%qX!HZRJq5IjbJPVMCz&wdryBNaQ}N`azUE1
z2p5+G=T`5mT1LFfeyTqwt*-g5@sGUl6pNjWjpAQUX;|28yFz7J=?3a25{j?l6*KXu
zF~z83l+{OR{=1IGnDyUoco%2B1_Rq}L8BiqR+?^VCKwPc+fT64@gknW`zP3Qq5gHL
z=|8v_#Tgkeco|NAhk5f<mq0}9q*HD)KjFQ5;`6Upd^f)h-qc&sg7?_F=5m`X*sqn+
zqi@JqnT22ES8@m%84f?eE4zl7+)O;hUJ#6<<{={CsZ{_nEJL|_cx<u#0U_ap{}$z3
zWIw&WXnO<9q1N~gw`V+laf&9|ULpUt*@WwK`YKDJtCm)zuhs%Gr<zd-I_7p_#kWT%
zo_hvFtZo~5gDMg^OAqeTt?lEBain1PHiD}{q-;&W`zMDpjvk4kRbXi`!faeM;VJ~`
zh4XtzY4^s0mk*W9`%?Gu<HtBpe|dix5N4}@65D9%)1HuCB~h>O)=d|lQ`vxr1lNgN
zMeXXLw`P}0dGdVx$|Jr_-m4kx=#O5v8~Rh^W|Zw<t#CzI*%GSr#qMEMhAoPEck?}d
zoo@!jyv;{onXp*o&TxG`URB8r!X$JdZ#+bA3-Comf`ub!h0}Wb-<8O96fbv=d1hgu
zc=I;~DufN%kQAjzxDCaOO{DA&Zl9&PF-(u%cYd>`7%vR1I16DFi~KOxt3m0Y?%P5}
zb*|#$PS5`+hwQ+i1XPNl79Q54{Du!RTHg$4=fZb9>>!mQ0ri4bOa}4+<>lqem&HuC
zv?9NyWOhVB{Q@_+dao2{x1jdZ{XH;zBS;xF!1(eRc2A|zX?0q)oUqU@6%f;_YG`zN
zpDle|E^rxbn6-2~8m;fn;v02)qz&w#YL@29z8Tz{-8<e#f=EGI+1$7kE5F$aG#zeK
zBbW>V1fM?74TL0l%!x*~eOJa`4t*m&=c#kGNT`M>GED0BE$qkn`}JpA;HbOMFRFFC
zU_^a&<adu;gf^~yjo9s|^Ux$`=Y`=;e(otpMK!hE!ZKtV`B8q`H%_rL{p8DSQ3Qxm
zTvz!-#=ckA*u%!IwA3AWmTTCj?Ue$JV4iH*Nb4*c3wcGgKobCeEjG<^N|FeBodeG)
zTfVP$I!~Q$5O~oE6X2JB=3t~ri@hh6p|tv+Ja(8mcI4`bIip6<O1do{OcK7su`_U+
z;(CdIVCC;dB*bfMtU{EjvjedUXuH9ynfM+iF9<m!VR7B@H@NziIV$kM=?v5asbQ|N
z58p$f)`&WrnE;AQhRf^;s2#{R3Mn!Q3kJYYZt9Q9!C*d1Pr{{tb*&<sAQv~|Rpq=t
zbv703bXcBraI(Ok1d{0O{>t$V$w#{<o(s0$O7HjEky1(2^2x1#>HBdzwf&|TQ%sGC
z)}Cwni^;Te^O$petxTg5jK>{s!%K=_`d|LOfv%&{3TW;0dF!A1N>-f9NiG$oHd>UY
z?pLE3d^%f0JMgbe!eRv$v-;eX-we>NZ3pp9-Qr&YuW%A_a>Vo<Ms9%9ObraM3kg9$
zhN;#V%zkw>G)!?lK%KLHat6cCI`@MgAln@pGE98|9}of%e4$qA|B=RLsERueqq5CE
z|2?xG*mBmu_}Bb!HPOm;qfb@-w7gjsE&v&FOgMDkc${~R6!f)tpv=u3EHcHSVofTJ
zHZ-20!pg0hldpf1l0LQYpO9s_cBjV`6XRdH_|Ama*CW%%J>oA3HU3$n+CBortetDC
zQ0h6WR-(N5OBdY|yW5+7C-<Jq#0yI*+M)-54`=+5q*?uknQb_mY=9~O#gN&{mp;Jw
zhXhO@(|rJ#JjQ$;CwMUggr?x{4TKAjGaZ6c4~%IB2Fl@^2bv~0QmR)S;pF@26L;-_
zjjbtY15ma=UHb#QFtmGrKV~*AtQ2sl5U!{i%fJ$V>=yxAk2sUA=RSQvAT+gfr&+eI
z13eT^tz{<t`jW_(JIacs%y&4>nPCyH9-VIa7pfICH#bY2YezWzB7ws#ej+YZaYs8h
zo+QXXix6awZT}Tbj*jLP6(ww!GpKU7_8K!%%)5y|Qv*3+eBoNZFnbA0#G(ca;(L~@
zc#0XW<*DJJ%f@<&P|!so+p!9oGca#u9VV4|zp7rKp~lxSq`*@k(1X!GUSeitmA=JK
z{(b+%uT`HUk>ac4F?xHK<wNrcJo{9C^h9ve0YgOMGjER*quLHB%!;aWYcN!;sR3sq
zn_-1}aWJAVr#Jl^()Hy$J%{CS!7yy-s`vZE*-?DZDv{jDt8Q)<jq6H=VwOKy#3O_u
z6r>Ns>Mw60Z%q{-)0O_LIX29D>i0j+i9}%4$g*k}8RasBRtYx6fM$sdr<1*BMUgWN
z=2&#!I^2;K2`5;Z75f|6BtfowR!t?9TF2M_90f9ZmK%TTQryM8?oT=h`&~hrCxe+Y
zTS*Q8$j;*EV7yfRW9{I94{(V=Z1VmO!HRIE1neL`CicSSv)r}sIG)p*V7<okND_AJ
z3#jLTT?2vN1QDtEU3TeHTOvH#bC9J;ONw*Vztynfzp*hiUxrXXKCM{mr?yu3O5X^|
z3A}vysO$|Yq%s(*CPJqo3k$KRjcVv_Ff!B&-zg-$qnN>ak&-VzdK_tx_0qk;2hd!k
zvnm3&5pdh|ILJ5=zB0=f-$7@VuQn27kzUx`EIjXQlq3Pq%4`f@41OCZLC*#zI@lFP
zOE+oo#UOwtYj7-MMt!x<EwHjls4R6_e~^BoacVt%5S95PRe|okSaaGSjpv^)s??U6
z@q2eqF({*ZmZ3DWRizT^{HBI>3?ou5E&@z+5)u+RqQu@8K+RM~A<85I)8K(k*@9uH
zRx4cVZZ=I}Mr%Il^+09|L>T`Tmznz&|3`|$H;pA<7G;=tQd^P`4k|=q)zpzj!l6oh
zBTYUpwseEki2vb>7E-6D#!l_?nnmB7cFI%9;E%_&le0mi30VbA;2bci2Nm8QDBPRD
zqDFeG>A!Dqwu0z%{u|-KL$mt$9uu_BszpQ35+QyioHTFQ-c3np2kFfQrf-I|)5^-p
z#Ip2+nq2Z#CAj?RA+-MrZ0>i1E}>YmvDHqn`|+-!V=ALsP~_Q0JD6z4h-nE>GyP4p
z5@;Z11QDgf?biT;;Oe|Q6O8=efszM`w^+h7M=3-rR<fJ5JDr~(hq=Hbfa{1r*+|-{
z9?^AAHkLNziA5@18#{IzX<7)9#!T>^Tm}lgBVdn!DB~wJRdVp_fePM<xq7(Z%e=NM
z6HV~NV33Evj`_nNMfR?*s@jj>o#oposX`=4Kw0{_rh_k#=$biBY*-$^S^RldKpKVm
zV}op&H5oWiB&b!G$bLNUx6`4-gZvhCjjFB(QE_BASE&N1^pidNuz!CW`BD|sPS}ew
z;g9O{zdMgFa7cIB-wMPi+8z!RGE@Z`dhw<|5-^Ea!JL9MH?SqMjz81$yqxs}zEIzY
z0=@vEXu+afy)8!UG{WeAPcno)K>w;5ybVl62m{pDr%aIh3k6*1DEE!OL1j=4Zw^6Z
zvRfl4F>PwK6;nwl?hYtWYwGeCW#teAy*CTel0hqwrjD7&pckW1j8kk!oR?8RyVm<p
zVh7byxrwxRFtNNx7`D8BqF(&8391iH4#j}TI=JC8s~q`g6Ll!u`%F0AmW@gFYu&`g
zh|=P?i(nH<kPFL^AXibB0hP9;{)dSqi@kf=m&M6XoJ`gtkmQQDj%wD{?{ZfhuSvYv
zXc!GVl`Htg)H~BHyA!X`5phyvY3|@q1-R~(IrT3Uu8CbE5VxajL2MT(>@=ojdVap+
z13d^tjz5Fl0llYS#w`i6M8M9#`kg|1a$<h_okPL7*jNv4AlYe}u;iUpM*)yon0iDa
zD<_o`mS^W8*YMzyqWq_;CtgBE-0mDV%a}rAdtVgnIjepgTeb%;0dXs}WV6{4Vvc75
z?}zInhQBYVF_-^@ssHuhwqfqa0g)6?_|OG3!Y;W*n&K3vm|g3#9zM=n3hNf8zjyRJ
z_h6O_8m?0id0jy8L`n@mHJ3a%q(Sh>(g#0-rJAivsFlroDA*FnL2yEbtgJYCWVWcA
zy{UgtVQQ(<-sdRYw{Zg<P4#1-i58S)Nj;3AXeiQ7H=#@!TI$g6_)U>H41gEpQ8;o0
zd?=JGG{C<`HxRE~B&almJ`lo`)sM)^kW5Ahq*hnI5h!Mw;WUOs=fStydpHt#9mWXf
z-acTuKo_@o!_3Ug6`r)nUdUs(Y*!(L%`b-m4&h-g*?<>{lz2dI1)oIHh$nJa9!1lx
zyMD_Gf@PRp2QKO;TU&L35j0=_;Y$z4i$5R6y)Ci;8x26!>-|j?f|Pp=RqbMXSs_gV
z7sEf!lT6NBPcJL;o7N&r$Mi`|fqhXi@91nNdn~QNWqz((a6_<tnD+ypJJf&RO#=B%
z>+8U(Ktd%`AiT^2aTK$9Y<sBajAe(E1nhP{AF>d706P_^8*0N`%|8>$&VbUI8H7d6
z1!G>_GG3C14#Nt4_Sc{qfrXIYQaT}Ge=^CAt(6G4CTkKiA+R$*g^-mK4+c%Z<OhfX
zmTPNkt9_kNYnXQ8C|Jj0H!Z}}-p9sfyN1Jt{rS$-Aj9p(gxS%#IpAZ`^Y`1==`bav
zr;|G^OJ)2Fx!25)mY>pP966tnd+T++d7TbxTo(-MyQ4O^e)qY29G;la($+qOKvZG!
zsGX@=wgfpZ@Xf;T1@qS<Bv|oKu#Z3P`72T2{Q+C>H;}f=z$o3%AVy}X%;$UqD#jWB
zM1haxD)0h^I`F9m(oM@QF$AGd@k5>>WkpP*`{=$@YT4wM!xiX;r>5jFWod6Fnp6b(
zJY{{1J_WWIfXR)nSQn~+uVL96F884Xe-`n!KI+b7ufjvBg8jE~N~vFkOtfl-$V6P~
zeng<*+)LYLI60U8eK@F7@HbTY3q26i0jLRU&$l!xG|@`qu}1R+0)*G55k(bl{meG7
zBOpR+KMUbZLAjm<gvVj~vO3Gkxebt-p;~}rhA<yPq=Uq=5xDd?1G)Y2#QyuV<y^(0
zJwT>40UNfG#s8-1I}ULMyx8{^VO+GPS8+-C2LAM~R<~-%7haAR%ZL|dj4ny|X=S59
z7q`B>U0QzyTs*YaBVRYXA<~hH2{PWX?TQ;uC%orfu{j_9q|kVEmm;yLq?>cpa^5Z+
z3l*f|MS~Jhfesl6mpfU3%}#rQ^=M_zfwj&adK-R_cl8r66KT~4cC>Bmn-uQ=+K3cV
z!mNl2pD{Aj8bjo};4MQ<5)qoCsi*fR1mZ~`tBok30)7bfFLKA)@_}#*B={Q5zttNQ
zPSZIjP!}atea}96x-k&^2KtQMw^nd#0+j}$F;P*xfjkGy>|0l;XbHm@BPBB?9%|*{
zILLheX~WY$G!#7>&$01*?BNZEH~GJw47l@tI*{lh&&k6uX@0>@C2jYLt#5Vq>nbd7
z@6E8{qHCy-*wu%u0-C?*sw}8;50)<PyvQMLU)JY#^|^InFp)NO<C(Am`~7^57X&?(
zFywV{IcoL43X1jbd&h%T>(ZUL!(4z|3G`;*^@?w>kC;%U7DSj&3QR9gKV?liJv}X0
zmV!R=Zf&jg6wl8OISdWXTWG#jeFBzCV6uc@zd)PahIDvSq7_)ordo#y8oG5LS8r%&
zU~YpT#sZOpLN@QcFks<PciMpwFZfLWD^w4rJdk6_bsx|Tx-?*VAdT>uzHBU{)ZS}w
zKDR=o*ofr-VqPEC4%90zfS%7GY8Z@kU)ah0T~2E>J=+<&<zk<Um}B0wF{QPbkEl~V
zxFai1JJmwL^5oU!dkhu<4?8e%nX0qUpL?bol{{mdOW2n25Q1-HgjqW=VVv|$K3^=3
zt*i=*c040VVI%Qct%d8DAMVTMEZ^aEV?XPYPlwUD-8CoaEBb!cMrkeZ=)ulnnCqQm
zuovxhcG71+Sb-ZL^4HzKNahKvF?Q_TBs0YYaeBU6sY5fTF0q^4latRP1^ou>h2RoF
z^fj>em1JW@ph5rzGJwuV91=*UpTD;l1v-(i{cbPs+!-)W0fm6sf||uh!SFi#!?kI)
zyBrMCtN~evi|PV$B8*l;HtG=&5E+OAlDP%<Q)K=@TLrJbS2<Bo46SVJ+mwcObaKz#
zRz#5v)XhW_ZXO<TK3jdDb%RqHSXfnYP#{Z^>KA^J0$uyh1}8&`exmpUIoh09N&`L|
zF5I|Ms#7(86HJp3*}^NRORU86-}Bp-xbC228oSw*-=}8eo98^(eBnUPf1%QL;Fc1f
zrO1W3!yV>9d_P7-C&*w|NHj$ja#BNcO2P^&Jw^&+sq%00wy|H}?z{p&x#!QHOW7xt
z{rc^xSIN!Z*pl_1-R*b3kW(5gSKD{)2!M%Cpv|PxW%~q&63HeLx%H)DS|uxBav~;2
zU?0~E;w&)dsn;om5)Zk(MNcRC5xQz6Ynx)s^vD0>0suzJYcu_Y{VNbyrJR$20D!Qx
zH-7xsWINiLI@)c+ZO|zNj$2J-Pul7ULio~c0$ETgD5##j@cx>f98m)4ST7s4c;wc>
zD9C4G^g3edjcCQ7o<WdTtN#HtUIbm0*r-P$_(pTuOW!K~A6Z`+RaF<QeF#MqDG@;d
z6#?lMX;4a9N&!hJ=|(yXI;0z<6_M^n1f&I|Q$o61>YE$id&eE)JHHqxaL(RquQlg0
zpZM8R`=fw^W`{R6ESZ$h_p#U0%Q#OxMZV0rb77lE4Xn^`N1)l7En2o0;xy{i<FJk6
zxGv-b(7h{n*SgJx)A-v;#wH1-@n)}vKdvk@VFGS!wo%B8+jiQe;fsmTUV>bSh3Qry
z60?_lS20tot=vggNA`Y}gy!Ml1eN{>%+v12)`SGh`;<QRo%xk;BgkSzFldw-my8>b
z2^<u7iNJy)7Gn#2a=aPh;R+qSIIhdmXCNJcTu80LW)3rN4<I^4DTokwQ0hAa`kN~#
zFh<z2>pUKc@#goLLG(q}`Z$I5E4mSjkt(<Jii$%p#LxzdF0hh2L*lx@#4l!?l=6K4
z3%S|Is@nXLG+(-YQxpUB)<%b(ER8krf-oH`F)PaF*-f5QG*1gQl#aqn)j)0<g$iYQ
zztkTAQ5GNAH{{mdK9wp{ZDvGY#uu~R+P142-=6PYpDTZpJ3k@sXY|HACmzZR@_t3F
zC<AbZ)!Ge6d)Qs+C@{;IN!w{y6#7Je>zZ&&q=?v`uk@POD>JhCYW+zUls2FYJ%e*X
zv-njH2z6mrC4+jZvYX_xcGwMC5ya38=nUZ9lP$0Xj~tq3W0V|7g&v~F;Bi{v%}u=3
zJ2?0db~Hn|dQ>eWp+iN3+CX%_vzu_TAVGe>x<ydW{~3L?kU*-l0k;+_iZk5SiWevq
zm;<_KmI{wAJ-tI?;FZ5eSuLi9(!svqnXrU;$6|k>!=aHCp6djDwr~Dn%Cbp%jOf48
z1C0p=e$U$*h8=ES52Hfn$kFYs4Igz$7~6RhyM*tsmbz+IXux?-A^G($FNKz5I$vAu
zmEeW7h4N`D?vI!51l&<x6cqNSL;+VJt*!^wG&1@_tJez=a2PSp8paY+K*HAc*T#=p
zU=)OS0m7m;zg_l)hr;2=nJfN+C%Dv&h90XHy(lriELTtT7g9sS6u5)GaN^}~!w5}R
zMn&X&lX+(tk!f7WxXmw5M-mvq{mmeJkdYWAN{cS+<$aZ>!sgg8rSpX1Xxy<Esl0
z(6j7MhZ9*1gdJ`&irs04r?S}V+lQi-<i5IZLl#_r5t=yC{jqZ)iAsK)W#O&6(zOjR
z3E<WsxHZ{y;>$>;?%)2x6ZNe5BTw7<{=-lMsx>sd4m{xr>_Xa0--ar^l{UaYGB#5U
zgwcKz41y4#g<cQ$o<U-T-QK}f5Uq-GRA7Hhq@@5nD$|k=3+&Ky>!Gg0LqSvDY<PK?
z?>4gas>Ki^r5gTU-;@aGJ@wg*%bfZ+WocxkqBLif>``ix*?~<QyjM)Ra4=}YFjnOA
zGf7)NOMcsE6t8I$YZK>Di+b{rNl}S|OYwX-HjIzmC>173SAt>atxMwF`k5I;Qe`2e
zxiT_SsUnc`Q?``-Vy6O#KG*j}91Qjw9vV|&X<a9|!imey9Ja$5Y5?k_zOcvIv_v`y
z4%iM~4nwb#$@9!bAWo3*?8YBFK<r8oH@N)9KOe4HT@Xx^!w?3Nyi40e0odbaYk`+Q
z^VB7T@Eh254k=wq90KkznA)_z9c?<s4LNoe9;IG9@>BaOVd&Mt71t&HK2JXMeKy@}
z%3U$y>lKGNMa_3Fcme=DU}5Xz&7~GWCuwB!`#Ox>!H9W9lRFsvz$#mDqmO}n1ZhoV
zEo?Yxu`5qo8!<->a}}aSR}J5o^Yp8gNNYZ`XKN^pb#e6!4gxYx-Q;9?9+lgpEjcEq
zs-%^Guy;m+MX3b^*81J0X+0w&mr-xuz6Hr!njDO1Nm1abs?77UEW!n%Fz#D8)H<xH
zKmGw2VT*K1vaMXbkFI|z%Ja@8J^5jI&Z_`6=&igJR#9mQSVa&AKqV+4_pd@DxV>h0
zp<DTKd%yJ0a0h+m1-j<yH+c1hj3)2pac#)j3+eA_uHOj4h*D3YF44-HTnFj`un^yH
z9w3rNV*~or%$HVovlv+`#UvG8rxQKgWx;#@m}78c7y<{!*B-~+`ru}-XfexcCT?$}
za$|i?yd+V?7Wb|`Oqs!u=L0s(LfQ+tgToQ2_ibaR_t+X%4Hp3MgGkBqVjP-`Bxt2k
zPnn~^*k&Ix!Z7NAhdkFd1<o6Dpkg~f!hisPg+f9Dq>_7^cDyIxF}4S7Yyn?uBIqQL
z0}K>92n3IKE+!w(-e+h<hgmUV4)Z)$qXK?<(fLYCJvK@GC^>sJ*O&b8=oN`Dy>9<h
z?yX_awK^DM{(H!SAvVxY6upqV^R&3$_37ULJstN?9kYp&r3xF4pl+u152FGjC@Eu_
zaJs*)4hp={?bk11W;06#y^PDu&W2BHQG8uisp}-o#{VkQ7i=G-*`JlI%}Yu7?ODlw
z&7&wiK(K%@-&>dMLMPoa`YjVvGqapZCyGv<Fsjb6@H;4cOhgmgcpoD10D(>fdn%Yb
z<6p9a5rV)H5@d$3cxDff#7~$@L3NH${bBMC5g!{HR?x<t=N>v`Tt5a+&Y13bh|p;T
zCl`Q*qoRoWIH9^#`b>oCs1V$^uY<D0`t3k@Lc7<n$?lt52j+o!b+ub_&;&&>Yw~i~
zik=s%_u18=nA*3t=0bsafUh_c7Es}~HgpL4)x8k-wb@6)Eh2Q}Kse7(+{4w)Z*P*6
zh8_|Qe{M1$7=~S)T}j-IGT7wzNI!}dQ{Z1r5C2OB;p;J&`Mu<*ddyJ`TnRTffj`}8
ztq@u&xCd|_0uw-q^w`MA2(~v?5{-hFO@N0vc0L#kyt(3Vu2cdZfW=ULN=?lP2xI+4
zDUl`xw22a@hCF1!$OZulIL$iu6W9|$l~=802^R>UL&R(W&<66p*N(s7u$!2;34EL{
z*-M{1^5Fm#aP+YKFOQMqd)LM562<zrTN_B9GU@#)WJHX&`8^IQHzRt1$=OyY!?7y(
zh(NV5HT_e7e}n0Cp(^8_?L!(4l}6U-O-HVHNJT<jx*J9XVR&Rc>R;|$0zwF&VaoK2
zp}yk|7UIuMd;GFtT>zP_=%|&PxRDhRhJ#nF)lewt^m)v(kB9tsT6BZ{rd^)0*PMj8
z4Cr71nN_Bb%qGUc^aLztU&1!}UWwT-y8@AliW~S6AeCik7If&BQJ{V7DoDVK>jTLT
zZz7mVAhe<}i`P_yu~FjD=X-?LaKKQ+Gwrrgp$8!v3xM21VlAlLnfIM*V6S_#yPcA9
zS1pSCJ$aB9XSeImET%7&M}4a`?_gHdxF!$35=!8u4P4aHEROfnrdb=hOjQlyAn|*l
zKlCSA!M-$6?l|V%&%iim)EVSAxz90ZL-Hlx$`3uVdg(Ab07!&DV25O8{Xn@xB?@gR
zA<A{lHkmJK`;l#gaU8&~8H%kVr9Kbnj1&^}*fDL4Sp1q^O8ni&LAue~bbAxKg$e@h
z%(u|1wY5o6puw)M_lz}}C+TY?jd(mf%R!g<R8<hT=h@V?bQzzOFSD<vrM^aO1Qfo^
zZ=KCm=GG`NaRW5VVTZyhA}yD!MHMAXH_JIM>^zUJ$?QK(6}?IDxTTp0;{bS2@EDCg
z_)R6r3rjfoOD7XTE`f7qxaGFTaTegFAh7@ke`r)et)v(C2S#S@fD(1>VfJhWD~^nh
zYaX}DMZatYLEB4ol);k$2ArB&qXn`lC-*-i1<3H|Rc<(y-~3_f8Y5|HfRaQ~s<5|#
zA9m?*fi-v%kdS;_)V!LMAWu8|WsB%Z>a1M)hzknrYg(cTi}r_HFb$M<EUxg*>Z{Qc
zUA~630XPcKdR236vltdp?>w~`ZND!`y~fc+h5WQO^hY~}Y(^L%jjo<1pB*M6LcqQu
zejRm2?b>6QZ6ZVc6C^eV;0H@uB3{Q0sLH^M)p0gd!qCOx6)r8&<))WCpVc~R#QvOo
zz56}YD~JA*`24cVMV_wp{oBTVH;@h0%?_N+wN7?&J91<A)^AATprL3Nk3Xy^$u!J3
zj7l%V5oMTN(-XeyH`i8z`Rcn$x-em@rl0V~+FJKt0i*U6U&H|d=D3I|*)I-hLDI%d
zfr4`UzTmbo)g${W&T1;x#R^>bflQ61gfq3;Ig6kr5Fy%RoY-BAH1kO90L&)Pkeb7R
z1I4yBzyJ_Is_*~{J4L~!BB8`wURF`JnaIH^TGq0a_NF&uyK3A8WN{&x43)Wf4O?Dz
zEgx5|k@Tg1&sU`xqN&h;)9W2RVgpL7+Q$%q5|`-F%}QW&v8fmvLQPn7h_`6GOshwI
z$Y!`&nG32|4d$$6XPR)d&e&%f515@+icq0FZK$|R<W6kr`J(~ehv5lIH&^xh9Gyt)
z8Pf2U8hQPpa&hrh`g}SzqQ>Qq%FccXDpderutg~eB*O@?fx!ApHXQ#O2TqGMV>>Xa
zMiVDc^$klZZ_T4r(e)N!SUB)0b!YGNFqP)%4RV*SIRPlv!Xyo_`ad_A4R5t-dd(e0
zz|;PPuF^QuR$T5&?0jpv({=pEEoF2UHy}4QD+_Der^m0&B2y}RUxnMwwYv1m`H^rP
zrnH|wV?+2c^lqShaeg_ERk3y2*EUxeA2`Yu>|U<w_8u9AReku=mwkVhHkjW)(eTM0
zdjnUMRtT_FYHAK$wd89e2NNtzf697eyjh%53ujZ|$zW?pKo`K*m<qVEg0;Ni-`aT8
ze*kaDudz6qECeb6V0!iOlD-SRu{TLCtN$fQMT~f3ofN5fXdsFNFjCj<FON?<dFiU^
zlV5F8zg*)_wtTMgfLU5)@B&Ui4^!|=dA7iBXr0S9w(brOYVSl|4MvZNX#L!UF`U2l
zVi6*EwOBHWi;6f#OCr11?W{8K{+hg>xL6S1@BQo8Q<o&6asA%gyB76~S=Z+9O5=zh
z6r^8CrG0tI|F|U*uG-|$#D2BbIy_v|?OQu?mr`cDT4r>+w8C(FiNw!%`nhT5e`DWm
zQJKGhJRjuU)0^el*;<d(rsOfnsqbf1ISQ;WGH={R|3lF<<s6Vg|2$G4;+v!WRHB@b
zlG3#sT1mEU$HH7&-TLE6$~k5DtgZ||<*r#tenKUc5f(p4d_YJ{%}7E}E3a>#{BcNj
zhOxa@X5a!giXqQ$&-Pu;^a|6(Se?=DVk@w%O~AGW8gG6eF@Tpg$h=QMbNF)p);+s#
z5bp5i&g}S@PKSB$lNSsDX0PAg>QYlwQqsE-^632N$g$(SIvmVPCoNdbRnPV;EpLG`
z_Vf*lLKLI(f}W2q+uK4RO^59V3@~ALWLe&HBxcbf3uxjGy8Zflm)$_pb#<#Ah^&Z@
zk6#r#0_t4`-;#h@IAI?pZl-Ac>6n~m^+glNVQN-OyM<E{m@~c9F}Nbz^4A~j5@Sfy
z%OMfml$lPV{rY5ZqeFq>2AE0Us`@x@5Qe+$*8SS6uoox&#UzNkiqpvX@Zs&^oSiRc
zKcuuio3UqRV4Dp$gcjX!snK%16NEfcl8P$*oU%8vh65(j97P-NvKkPQ(nno0$g5vK
zi9X<wdgPm9W?@0G&QTg<F#Lo{@xhOWI3j(V_bo34ro=M3mUjq9GkT{)C?<Dj`BTQf
zj@L+^wJ=Z{K<LB@GF+l9THIuEpak1r7lM-mmk-D$|A)fvg!9KCA?79O4EA8#*=SJy
zC3nlWxZ?A|PX$Bwjq6e~Y*u>U9_&YZ3Gj}Tr;$_-k+qYOEd$KNDCPBGxl07x)8Vcu
zKgA%ol0z1S?>I5P4OPbmzen-@g=;9s0m^suzp#a;P8d-aKVb`BvaTEx-NbbD0^9q*
zvN?*BkT}RP6pHUWx0%h2TFV5c+wzOaxCy5_c4X5|wcvl3n=7Y4Bt_S~ty+Fg>5*ug
zaL9`9e>kad`Jw?xJ0Dt70Ll8%rP!!M=e^z<i(%9CUyWa!-b>#Kz4OovFW(b|x=Z!7
zTs8pn*!}p^+ow(7@jW>{?$)pJJn<6RF_H;dvn{+(-ozS+jN8=y9fyQsq4S4f4W=}F
zh4S%VKk>-~987dS&!g(N<sI5SM<iCjD2<O9(gIF8u*?jL;6y?cB;fku=62#(u?8>#
zS+HUp185EUV1D(6g5nt?>ZZ;NF>90<ca${4T1r^-Ri*&(G>&~);rlq6gG}wy+_+aB
zclyJVe7@1a+5k0*$lt<=<6E7zoYI0r*f3D{Tmd?M8rMP-5;<$376m+vkR2C!1)}%(
z-)1NO_&y2@6MH8!!p1!`^7H4<u`z!3IQmGb3Jp0G71=%_2~&AFb8P*@glF?zdwm-p
z+P()}^frlzWRy*<toM$3z{#o8!p(`+$9WB6C&GK|#|5WtD!%>B2OYt<pW82;^J4(U
zD;<}88bOVVX|&e8a+zC7PA-eczw(2UCcY~1CCusxJm-8o92{V!{wO{Y8=mPWc`SXC
zFTy#oNA|7bt@1K{v!rW`;ak{gcc~fN+;m8qft^C?UBC!4F_!pF3jbqlHs!l_8I`Ax
zD8tsKcYVKb<NPjO!enE-^oB}OE95?L0B}Xsj@CZTB;_t+;ZZ27L>lsv<#Z8B7nQ$^
zV~QMs>ju+>;>k_KHUiFIFlS21252tnFXFfj;Dx}73SuIGP>Fyt23xlyKeMDF(2hVr
zWCvM7K{sIz2-BwtAn*b#fF{gMW?^hx0n=YZ;NQ9GfY`*Gf~o0qmszNd>7SoKdU!eL
zpfgux<yyf&>9ev4kbNMt!vwmBl&2ex{Lr%?m@|?Vj&m`~!2jPp?li_}?0_+@l@;sN
zb|sX9T_@%!i62b*NYzBNqUQA3TlHT*I10n<;<i%`*R#7LyF~OQ{aSK>G&;(YEo7X9
zb?K>JrXob*z;tkNX$fSCW)4QbH0?HTqJbnnsXFQ5+d|?^dQDXQMR`2*1J_!ZmR|Zs
zK>b)r3N)hta9um1mi%VEeV<>-7~ZLqRn_ySCKx<PJjGW<2byYEx^Qv;E_`F?qqG6-
z@fm>bIGE^=jcViJaR%)Th`=j@gM)!^XEc2U2_Aq}sA0~ge{e7vKrq<ZJs{)<e52~j
z#w&M$<CTpgouLTEA1iBX#F)A;uneOD*#}}B4+FguutcAAsDf=28Gi|ZJ8vOlo?1~R
z;SjT0q5jRuKfmy$7Jo~qh|twQ_JjwBHh^SQU<Ax-B<ls}<>cc#hJF7!$jd0i)C-9-
z8BW4I2PNXR&z;iZGSOg0vE#^}R{4E*XD1!6R)fU=Js3|=&xoB=gu+2MyM_0f>LBGj
z^F`bX3dH&AQPD;p>3YkHfo4=z_MEYLctti?=2sSK{Lm_nPc|%F_|6^w)Rvjp$8Ja9
zH_yuYaoKqe4HE<%y90xR@?*=moyM?-W@WXgIqKE2s2J<&D9NtXm|eZ4UI1~B#>QGY
zWuba%dr>be4uJ?^auy*7w%gi&d!un09g!4_uj(qK{G~x-FggQolrF&|v&Xo*GGm}|
z15j#od|Y5_1VJ5;hM*g`^a#>g=t7;`ja)xSG*zM2u(YrMrnv=#6`Gpz{Vn6t%skaR
z^#He#ad4i7?gQ7STj=Z<&fl#!SC~Ogg#t=TEqM5!fq8ITX)NWt;9#&6czhQbje}DK
z_ngmbWbwwaKf?d^+X~t+c-_G#xwRi9Mg7=UUYTBku{||{kd>R2DlD}=q7yHBfK7*Y
zm{1zpSg1K7*FM=ANkDNejJhdcTu|+!cr&2sO~VvX>b^34|M>XVrb)XSW&Kiz7v;Iq
ztK0M^JM3z0rs~leS#i$@Us<%xZ$GQNx560cKY=E!f3@zDY7~TZXKe;cM=>5Ac6(?Y
z($xUb8%cvetFN?Qrm5WkYyojFrw1890`yGC>Oz|W%JgS4*ZuL=Xj33jxvA#zZF$#y
z_lvf`Y0;0YgHL8q?Kz+~8fPUUBeWH0A#+{hX)_S~9?tiPo*rvRn0H%JO6CQKKGVGR
zQVJc+l!1Y;hGja#-F13RFrWxocR!za>jDn-(j-pZP_2}(ekf!dJB9xhN+<X)jy#k1
zQz;mS8<Ms+WTW(dF%*5bu~l#71ZBnJ0$$lZaQS+b>6UbVhCtA<{OJti&UN&|hSj&s
zgED6C#9J_`OvbTp@e0c5KS1S&OJ%krY=+QB+^8{#=s_A=FlaMbA4!@5pEYeT_af(W
zfG{*M1r!8op@hL{%pmZj=r26gh(0CJc04mUJ7^3xGic!HC3}A;z54*ozyhMxhj;>T
z8#}DWz%v`l*S%@zj~_=UWen?yD?TG{eY34ngw5+i;oHut@>*LQ6_x)bnf#Ohl0Qt=
zfmNu=$onfyL-CTT1Ivp?_?PYyvqlhNV4`$>zkTYj`1Er)VLro<H4gdpL*=3NttbN(
z0loqdd}fZ^%botQK#n4Le2ahBEfz>Y5QWxQ`|_1~;J8Vx)$hl_GdPVybslFh(Q2u(
zg6Wg?!M7U#xV9t#BouiDwyyC=;0|o#F!9lJ7&ZVJ<{G&3Sb>9u{NS<CFCwJ{&}v*p
zAqjGy7HVMD4k-S3Way=oVIaZ)JMXB>Bk7lt85wPVdVgF5d!Dw%B2!phUHB8Km8`Jy
z=YZ)Pl%avsZe^>-A}Xdb)5>{_@jis|rqc3vW3bZO-^js7Yj16fG_`#e^vDThigNgv
z<ND3ab)z_K4Zecg66wnHXr7Y_89UcS82wl<JQ>^dx>K)tYGyrU%eJg~ij%@_SQ*IV
z2W@ELnqULgAXG(w2!Pjv2bj%_*1EaSgtOtiRdj~O#8D`ueqd}2a#>5kuRA;Y{0;-s
z2@VV|z*Ti7L`X1b{iU~z^#ylFM-mi$KYDgyH!d!&+$!;<6ys1Cny=<Aaahu+Cc*q`
ziXDG{+jN%-NQM|q%TOVepX?0?evFlY{?C3~O9u}V9riYuG95mQJ0|Vd=QHL`Gj?a2
z|0ty(8+8ZJvi6tdbz?aSMlrIZ*H>uYS6`?28E25$MaoY{f|H#cC;OrL&&K7nd*+?f
zQWse^j)@%V8jl*}GmZ~v(M{1&7H@?VoN6Y3Os?Q4La4m;+Z?*Gc}}cl-R2hqiE)nn
z?jTAD;RpD$=AB?e)&Rny19NzA+c=nn`B`X-L~hOV1OOrB`8VHXXM^kK0fOGbP!5c`
zw!yBVdUCxEY+bSz-8y`s?0R$OQ?`1^sq6cbk8+R#H;#VSZU?6k21BWa6%q6v)&gRQ
z4;FWb$&oJPry~>@mX>+CBtCJ)7(}SB6a!E|q^u;)cUuLvvKjuon|0SgSoe)af{~Po
z8eO=R*RQBcOm9QjR1>$}#a)i%q$ie4e9I<4Ax}j}7b$h<Ix6gtHN`;&t!I#T)6O3Z
zs-IvU(kz{y9HXf-R!owsj$^5q$$l}>5sLKoIr_}^Nv`<=i6zN{Po)AXZH4#3>j4Dh
zsyW-=Um3OqE3P2^LXR_dWb&m3x83nMnCRl65Ve&;3qnhnpiZTQM*;CdTmw+Tx=;3@
z!0|>SG8Se)JO1UaW;g;Z8pIPoJctX7z!6zc%PkN;(V$)#8^=!n!hbB$=}yeN(EqxM
z0M(GMEOoW9evJjWGJ#<R6=0|%_4=SmvHt#*9Am}IPXQR8_Xs<-!yX&BRShK0kT5(l
zQRIBwA7N;dzGC;iYiGOqDgE_;l0zGGz%3c|q*5+`zM`NY)Icqy<=W-<iuu#Rnd2<<
z7FyIOgYa%zxg~9=*ML>|i)P)XLJB1|{`-c+e5=xBu}(C(7~7`$pR>@f*sDk7&>nGE
z`kj}C+~fK&Ixk=(rq=GJ&cE|hByDMEn0lxSMpf7#FOHm1z@CD9F_i_pWgu0#fu>7B
zYt4=qO=ntcS<lj6UJ9%ZrBDYw5S}#f!cv7C6gF$OkEgJZy+X};!RhdzZh_`5%9Gj%
z>5xdp=*US(Sd~^w*34=mtT%7A#87_mA!~A`!!kkdu%W(?i0@l|`Ky=X*9bhv#7z8)
zXU2eWslwzJELEdev}<)1W3OJ3OD?k-exuX{(^UnKTTrusgr>H%H0nxTM@82n!-30{
z)8d&Kd{qKmA82Q@s#C#uGIr|BXuYd(CVTnB%cIsP-VHMDS0uwrQ*K?T^vWP&R>v1r
z@b@&MpR!RQ>X~=05FBes_Gfgy{u8Tdxkf#i;esgf`+zr$H`195Oe?dh)w6-^d<P{d
z`bfE0Ha>kgdU&wN&BG&s{hj^@?0LOZ>x0^zJd-@zvHbFJ)!q9pf|CXUl4T}1XYnaQ
ztF1Rdnohr_^wUZ))S#lEpddB%+cWFTCC$ja1cQTTj!Rv}uU>tEjEBE6yTHSMRKEcY
zqay&=)xS)idueg!saH8L5u5-hI9}~kWUp^!wE<dD8K~9sLy;5>2n<UBpIE-$@$nOo
zu=QfyCbTp&qe=w?)af|+lkepO+bTfgJm6>t${y^R$X7^sgd7m$%0?5PQ0=V@Z^JPN
z-g0jtKr=mk7H%(-MH7k@Od)+!V+y3be~9WG3?yb#n)tse8<y+3@ECkfIK<)8XZ6Xc
zT^aJ}))}Q9ziaFrr`V6j=o@|^?N`zrzJP4GrWxys;I)%A9);~Vh!q1P<&YML&PcF@
zSp<c=Zb<DsGCa0D3N<$feka}K8~7!YOo~r0Tk~=*)bpg>yT51eUwSNtyxzk|Qx~L(
z)*ix0G%7;EK&o*@_2N&+vo-}mX=hsnA#N+&d6gi{8-$ca=xo43?=`4qVX6jkXbIa`
z6pr;H;)3&tpC^>iVhZ55gmdvNXf;9CQ<=-6Ui>5OU8x4hixABz5OM3yU?TMC(<hxk
zx9#{z4VY<Qx-BWtv(`sPM<WF$Qh6$U{sku{GW-rAo3W`tG8iEZqxLeIVFb){$7Pj?
znilQk9^334owx;7wv(0Ad`>Z!;7-eB=X+7}V|`!V4)LEZf;3`)N&Q6MEZZ1;n-49b
zpbkH}CQQJo_Oov+Z4u+1cKlDXgxi{Je9oz~Q4tY=bz3PwAtKSkC{Dd!ocP0(oCv*r
z#UDwAub<drmGw*I?g@B^lxx7dLg-dd6qOYYuK;xt)Ti#-AO+;p)kO+l;2oYI%wrgl
zcnMF<0Dlb%JjmAY4yuODF$n~_NGtIp^qvncdEw|Pk}ZkA>)>>Zv)cR`Bp5(BLUu<)
z2nyH1ZvoC9+P^;J49$ldk`+DRT|Nnb_9~+P7!o7Vi-x>fXe_IA8s1nx=QaQ_5;%}P
z76p2j2b^YEm1HqdGJS#KX|4LbtWZpax5A7t)0n+kQ~@%ntE;Q09N5$J&0}KS%(M8+
zF-1rvnx{mKeSY1@&sa^}KAwX){sJ#J@v=Sw>gYdn-P?{LL^yudg^?qoU%PI#?#7x1
zMdFIHyJzvTe7frPwc));=*K@VRJ65$C6JkV{2Ms1RD`g!GmYB{;S4`<7mC_KlZmq~
z`Kk^i4@9;MEgw`=ps<Do9@5eWDixRz=cJ+m{Ts$6-nua_;_WpDA29LWzY{YSIzSzs
zCFXUlo3RTbWS67%FeC3u_JVF}M3gPEwb;VEi~Pnjmc4QfFduycW+x~TYR$o~RU2t!
z0Md+4PIgnuURR9Z!Ma}aoT$l{Lf%lo$7zv&(o^=AAFYnOy>I^;V)Kw~MVD_hOEg*U
z3~xPgv74028(iLXzQ3hMt_0{uhGK%PWZ0NR8DqOcRSkqVO8KLqZW?)(A@L<({XA2L
zTQ5V1>jT5OKqi+H>weN!s*B&$L~Kj18Xn7~eZT$+&$KYczSY{xx@+9xb<beMRfD2o
z7!gD8DB<>D;V>h?@Tx;{_v^5+c6k5Xt)NZ@e!VEAF3ClL)<VdqY-?{1sq>MB`8Ej&
zKIQ1mY7GC6;*`eX+43?@?;EtZ?nh)=^bAhjqDoEAbZq})+jXsw%*E1&hmsJz9V{Qf
zf_GNl8u0vk62VZzcU43TH6FL;7#zYOx8Qb#^?klIk?`hX<wSqKf!VOqWaJjrE^sWp
zQ@yO(#*=*qu_~hnmkNKDFIts%4K~ry<WoeOKE~iDU~4{h7ovELT=Oq!59hGrF`KVH
zy4PIjJvJyE`Xd|Mo+;)RcN!WV>E(YOAup5W4gE+f#U+B>`6sIA`c`N;!IPy&{rKT=
zgl*+!7Na2fhvDPcypoCvKBiBjf}$cjwM)@eTwE{}mzP>8xnk_o!$fPr#QEXRM8hK&
z-Wq2xcNlUb*2$hS!uxoT+Ve@5<n+^$<dSGatA4s;b6+z4gGP^hp=YboT$tf#5+9jz
zMyWK3zuA5p@`HGoDXIt=8n|U0KTD;aGwR4+4)lHU@cl%@{jvQ$-BbXV$(A3Mm$(&6
zw5n?JCdz5D3@W-2^yyx^$``P^yvr17^OmE)&Iu^^jO}34q2KsbGD<EB=sKnWmMr1w
zCok*nSa-!XU+DaB@s)A*@-DNFURMH-(hI8koChQIA6y3Jex``XW!cJv)IwHtU<I@1
zB4eaf?2C9e>_lHq*_j0CY-SU0`++`E$!Ctef<7*H7A>#5W}yX&OJDIOrel}W`Ev%o
ztEmg10@Px8Rt{#KflA<z$Tp-r6MV3`IQB@A)pSgui!O5+Y!<*L#!1`sYgsgA-(N+1
z%)G()Fe(+5BGJk=4x7jYJ1CUFk|?DnFTmFplsT|(?A~|-NXMaTi=~GxGzQeQ0(W)?
zhWKo;$VEvt4gapm)zTCCf&EO7tu`-;w&N9s2-LH?z-{$$$41>FKY4FXNTBAz$vXZc
zF_N8^fYkqqsLit*IN`Q}NpdzI_k%5QKoeuxH{ZE{)*o!7Gcq#Xdw{Q{=P>vb>$89M
z758Hj<2<I@x%`~+<^(}eqJ0j^a$Ir{=Mh23DJkT0kFIjbf)^C`HlKMHP(J*Yv7_a(
zfGt=woO3u~yZcxNVHiOwW<gRmq!JXU%IH>q8+fo1q1lVW%uSc{!w~2Myo)Fqzn+T+
z;1ALG*Qe9))?aE=pnhk@GUYwWW)i(Xl9~0BKZE4#1b*3aqBMG$w3pt%8rEIU$TpFd
z4yZJazGr%nmMzO6+dS<tNxJtV(dZU5?9tIT7WLqEbTB`gf9{k1XZ7y=E8bKK12NSw
z#15m)=4~VMOKAb_|8*DM#e&h*2A%u`gBQJvJ1HVQ#iy?|YzEdPTi@u$JmxQ<4zs6V
z!vTxGi8(0s4YOb9Xi(bEs)_w->iAe<WA&!(qUX#lbI-GVkF)(5S8S9BPokXe?)1Xs
z>+<k8B!KUxTs%$2^>M0H)x=~nE+cMP(cd=FbRR}nnaiupKv@8vK`89&TKg>XZ^>7u
zpML#yw(TCC-F04daIqF7L80nb8pS(m>O!vR1==R<?>hoiL#sJ)d*n}qa&!)^n}Sib
z=tHr(?uU=at+?l5`&K{Wo9l9{;7H<ID>0BVTO6=bD!T(b+R%1j0vH8yOkeb)Tx{&R
z92idpi??M5m3ev3<037L4(>}T4yB3K_}{t272g^0F6V^;b&92=3j0DKwK8>5a8=~Q
zdjsHqnwpqgcDV;SEx&iE+e@b_`9fr5#x-WFdKTumK8-VHkV%Cq`jAQ+SWuiKq_>>;
zF*cR4U8JuncRA(hr!3?J5wB5^k)a-kzh4<kjNNYK)l+lvXmev#q);K>Yb&~ZiZS&L
zm<RNcHf`#$_qbLfq`RU<!ZVHkoLqT?j~OaMDHZ3m*TN<%Wt(^BQp_z>4E=)h)u*nh
zw4j15{mK?xUHfn;DuMZty{})kGR>4?V&US4w|rGtU#frinW%((%|TvfL)Vp6pvDJK
zq9RED*u8FWncU&6P^6S~mjHH<wO}ERrN%P$NO<ckrn@pc6|vyiRyCf)nI5yWLBFVL
zbkt`-x#e6l5S_3MhsEisdsoG7M+LrWGl?xXnaOZ=jIO9Rzwg?%qlu~MeG81Z{hL!+
z+ss!thS@PvR_WHA?#aWUBVna$@?qCFTiTa)1q1IA&XNlKYZyGtm?dGMu4Vr?Glh(4
zgs%hjU4zaB;^7IMgmoSst0vr0FlfM)lzOFZW?G~+*ZY7;;g4bEZ+}CV?xYqmuP*fk
z7CI=-N%q<w5c)yP_ri-k{Lp$yBSvZdQs;t}na_E7w@22xoY7@_JF6f3xOksZ^LFhi
zQp<@W8M+UOs_zwl9g(FjO(UI{%@JC~HsH4z_8-$k=nSto+bCt-UyS^2B~+lV;fb@)
zl#X(#nFtFDlX0prjw@uW8ej9nt*^|DPgyOz-+kgnNf`U6<={%gs>A5&9*%-|Hcx`V
zqtAW!#4q%!Sls?af3es<aCzsw?Y!KpO_UYcg^LFWDTi<JP!7g12m(FU0D5+iT+G9+
zJrE5IZwtakb^|>I%i~y7ALOB^!IfbomX3@h^==>mU!G@^H=1L{Em-L2U>e`p>jGIU
zHnYA32J&i8u8OLtJ>=2D&KlZYT00P8GB-7i=bJ6d++B$4XR@S{)vsWK%kUHhHpOac
z!=2Hu-<9rD)!<4#<jJsanw4RGp`fj8d6IP1r?Kaia&V2(`mG<k2`mK}Z}&t^cUDQh
z!m_wFXzmV7^mp~_Oh@VyMU`|vT?AhH5MZWMR;mx~I(A!#<n(b?NX&@pTSe)Vbf^q~
zE0<!Jk-Y#)CKw~!`8;HLqImk6Faz(1wERfEeV4)MnT#=F90;N;>WPEqtU_GJU&
zka%79<@svpBOKi<HRVTc2#rieTCYhi<=Soi6x#dV&G!HVaL<-`$Z(rg$C#eu>PzIN
zhB)b)%7hBS{jN7te)jB-9k0vy8k9T&Q8bqx`whNOQ;QuHMVyRq%=4JA=X<Nf2!hmK
zA3S|^<T(!2HO*JU<uVUWy(=Sn_n!AisQBQkg4}4UcHn$`XvY?{Xxet^I*lLA{YO)|
zVSnLh(_4+jVs#k<eirC{7_<-D^d}<Q=~(N5VH4}y1%>=rD5#Z?N?z0s!DjcXCgJHU
zheR>NI0+d;z$l18{4<I}8*psHqTIk(>2;nrt?gLst1sg3QBzl-@@T;rFSzaT>)4t~
zAz2Yh*XFys(IfBs0}8H#rEfiVg+?xjDq=G~XVdF-m{>&fnZ_B?ge$<<c5c|Ylg`xt
z6;!xzehOkeOaV!B-=fUBh}z=3F#>XR^T#Fc*_nH&$&4rk@Gm*?CqbYbWhg6-2x7A{
zw|~@Ah3n~yq;bHUp`E$PjQ7GpZLJ_>c3xgLxf8%NcADS`Ua?v_>Pt(4b2<fq&A&h;
z0%wMY7#)!gSN>j@edgBs*CnZCq<ZqEfb2lYJOQR+<LAxHQKE$oiMP-Lc$$2>o4d3$
z)YOcNhG|l4U{fMpR~-k-hxvr|H*8xGVgy$cpA7Df1)hlN1;P}!SpV4$o|&|<lpj-u
zuXn?H)dAvG-lpC;z*1X0e#k}5fxRxgTIonK->WhbBcHffm*m+)pWa@@<Ig;;mvJ_L
zS1QW6BjF4XlBgYc$;_@Xf}60vuT98zjC$<YOi59v7j4%<>nCrAr_r{-Sbo$14#3yu
z=7PL7yDt^+!K9e=1Q*GB%aQG|-;Nn=deNOAzcsOl>yrj>f~G=mtc=YQ4A)_XfnUF-
zcpONsbyf6dg1rr4s1CdAPsNCv{6_hinTG7Q@x0KZH&y8bh+RDNBuy1gfU##Q0rhWC
z3=^j3O#a$?Q>jz!4K*>U)X<0P=3Fmef(T6tJ+lCd)#h-6bQiGWHLFPi=AkU0c}wf>
zpZX~?HO}b|RLe0B^u-itc<Qf(j$3Hw>oh<L00Xg>D(_k2+!bbM&%rI4t(Pw_GIC<>
zc{-1TiTrq(V{2{GmHlMJ32nn#Lx_n62ZGe<b^xa9gQ0jD7<i^YWDYdGME(wh*+o(X
z#ymb0D@#i-7phg()HE*}y>;srGH_F-w+G%HYcsNRbe}^U9s+`be-BRC=&C~%M78Xt
z-9Dj(C+6ZYR2UESa=v~I@&$Y;>B}mpvVH`y$=br85;jX+R+8djGZ=Ql1hmf!1IvGl
zDfNxf6dcxIY*lJG=?+}rYYG6nz<|wn0r-8bL7>AF<+OQgisB}YZf_z9s7$w!{2*b5
z`*128o*6Ly`Ei52Ip^#ZO@<6?hX<YzN0ye<L+Vj9!AG0F|GYOg!JhiK!=sr<PQjT!
zsoH~IChpuHP3bf6?^0=j<Ez8!m_zJrMJPo@2s@>-Sb|IWBlh4w5^B-yN9|<BE~9_$
zX(|pbxNzNW0Z`=O)><zJwP4!&NHnkjPB)OF)WGu(bj@m*&3fZ<$ZmU_&U^SSfS~i+
z&p`zLgzRW=wu4X)FxCL+lsgz3g9(7p);M$)1CVwJ80sVZD5OIN_SOhE5JH~wF-(IX
zjr3X%bUcFK%7H}4fGQ5WqB~DCAm()FuLN&m?N%EDlKMrN{pk||>%k@EG8@_$(hEUC
z%GF@#a8M@==M;eS5TpS(q7bOuOCXl(WN*~(6?8@-bvHnAPD5#zjY%T#2p=pF&f=)e
zN7i^W>BRWre)IGQe-@ZlB9i<@NevHjxU8BQ7<5X%i->xn_A|CPK#j7Eq|_^d!Ssnm
zmaRjVact)B$Vl81s*axy3R8p}_RQW#bi^+xa4r&D%e-Pb=c?u*##}S+NJt^yoA^ty
zRo~|Lp#ezY*RS&Rj*hwjnUJvOb?r8}>D6`!uFgPCS4140j{>1W_iH;lPEJnO*?YHJ
z$&q0$h~to;VF?PS@9J@tfRlpHS^DSC#<Nx0kZXmIQDA5WJXvgp{<X=vv%+>}Qwxhz
zh=JXQD@)h|xAHZBTs3e7;j$v0&@h(r)|`bIsS`M4++b4QsR95DTux{xW&2Ji&yGA0
z_z4+R!R<1Q{Od?m{_b>H`;1r53`Rl*1_nR|hE*<V2j*mW<lBJwB>IA5Ia?PYnqg#H
zn^f88*VDdUjH^j|H=oPL))alS)=4TW`$dyflMZaats6*ES^cJ(?c3VFwhtz=yUO#Z
z6(<Pk)&q|?C+W3MDiGJteVh2J!DKvPPpBe>Mz^Id-oUE7ao}>}u*yV$;BsBx<fITQ
zD{KFSZ=Y1VMXMAKw<|ansZ#BDHFx&G|8uLI1&WIw)Bp~33+$_63GIHChmHyaKzcwQ
z6u~-MdtG-AiK1cKFWL+7IEEmn30gY3LqMxyT=HR#oB<%#y1nM@JuNVua|clB!Xrmu
zpxfH^BFss^vi%m2U}CtA*jFZCUS{cW^dhV8u!EypburNwl5hYbL)6YVI5;rlOUbuv
zdJ1b3*vbMM^%#YW%azbl`YizO{jm9AZRjoFY=F*1TvWu;3ssNJ*8Ha{@r8oI-LIN)
zs;|`-^x9KzB&OtPPS;Fz0F(a0awk0ga&o{j2V(_T*{~~a^d~QW5h`<SxB$e+WWLwA
zRM*QF?A4`#bn;5szm{Y0;Z#K7z#}gOKc@aE^4Z_3@SJ*EcMP0ZZRPXQUg7t!A(Ckr
zd%2~zqeBsr=Q_s#A|WW?dLU6E%rqjGwhh)2k26cb3os;0cK>Vq2;ZXoxA#~Bpm4#y
z%vCFey5SSI4}VC2BE`FA5QahzDG~M~2p>3i4&W-~@SAF`9w1A!>rm{5<}YwyT=@kH
zOjZ<;Z(_69Jbr&>xm5xd3h>ms!PaQ63F^$)lG3|bKnsUDn=17RbGc6S1N08|zydfU
zx3;#F=`)sj^*VlAk$L1H;b+{W<r>Um=4GO33LM1(3&8<qjxTQeq#s5ocOd*5g``Ap
zY=e{Q+4R}z^QL{T+Ao{FOSKGjgq3bSln<8eAZG7_V1<QqsVE}fqi{d?4YO*a0U8I0
zYWt9#efwlVV!k6b{8lME7nI1PT3qWG6sKTSOzu1jm@RcGxcdi_xq@J+22f*wF!^*l
zK~+kX3dRX3`vi;w%qt)ZxnKPQJ80QK2XH7@crp9G;Dqz|+m{?XKaDCP)5GzA=L1#G
z8QE#*_k-@UQ#Y>x6X8hG*PMj0)Q|WUWqhSHTqNXnnF)<@i>Va5qJE#sJxXd}V;&G$
zhqZhgVan<vk99F@u>dSW=z!8dM`;NsVjg*uw_}MSx$N!CkGBJ<TPaoP^GLOMku16Y
zyBmPo&%$oQ_$+aQ^1kvEp)<S<*bDUv29$3v4|{mk2wjx3@e&q}n)}2u@nWLI$E@&U
z>qsaM`7u8|z`fJ9lvucA2OUO&5S<|pALt58HS2l|qP*SFvOuDK!08p;s~!aATy}va
z0!kB80$U%iFT(6x0(Wh3F-33e5=paj3mhXpw;Nw&ZpvRm`<Hy`-=VIQ*jcs^=i6IJ
ziy8GBy8%|<J09CVPfRmTr|M6eG00UC1+LeumaJmk#LFBsNRTrkct`{x0SKZFNtlS_
z003(W(;=1Tn&3Tw=->eSQ^jl4hDr5+&EEt7xbQ<uE{wC@Gx`BRL{HX%6&7f3wNSL#
zvLxvQWG6T=N5+F%%GV-Z#qA*=Hz;IR78k)6zNPa0-cJ#{pn1*n>!sriRI-%%!iIx*
z3Th6<^@U9QR^Hff+0~1?tj^5Q%iub;Xk!m~v?M~jZcP4)#>U1@PENUvW8ATsPOBw@
z0Pk6XuoM{`hH&)$wnF9y2>$>%YSn|LeJsu_5atx(oQrr^Aw21yf({5YpN}==x1e|X
zXbATELpVo3Bxd>Q*(98@AamBgO7eFtB5(5);kVyD-SFuaJX+~W<U>px6g<`n==kgF
z;Mc;1nt4U>UE<t)9u=cft(7-!A@3d0^{%dsytAaR{bp~dDmIH60V7ir&N1i9qG8yq
zzARThux5}9>sw@8JM~4<t`JxoFesolZN1angcFWM0Ommms|KEI(183fv`0=Q2u6dG
z+Zm{X0$V@sHRycsMRM3+J8mn?F&_EZfCwLiPWpsuK(dTv7hIF)XS1B(r{uMost21)
z2~jwY+Rd*>hyqRzj4<RP{Cq2F2hSgplLY2a2Z#<O9_9%kB5if^0FKrEk9#3G5WoQ&
z4bw)|HpR1{@cTdmM>MznalluA2nUKR%LdTrUS_dc0>&weTH!n2fjn&_fI`lm=lmY`
zK|m6$_~D5%%w|oSXN2V@zLK&8=<Q(149{}Ftuq~U4xC2k52v6vC8@Z2i$DO3M;kN$
zf`rL<_2L=QJt3(!KcdO_9XDV+3N{n~dx2k!GjAdci1#5w7YfqbpnB3ip1vWn|7d+-
zK^3kPxNTf`q*`f5H}Be=B#>#$tX_;9MA^ByT|usJK;>2Zxk;&BZlx<Gc0q3i`P`tU
z@}muJ)qp|)#`c&5kx@}y@ejLM1EDbjB${$0U$^nc#a%s>DV$@tA+eo?KmbE*Ai7=u
zaFjb;JpZ^NbpF83%>tTN=o2bqibSunRvT6lMh1rXk&!9=@c8Ew1$q(_Sc4FgNIX@y
z@t(yD!mKUIv|;5s<qZ!F9l)U6b=_ss1<DQR9<{)p0$~oiOdchbgpcHpF9Ier3G69Q
zeeQ#A7q{ca9ReoJ${mDyFi=)&V4u}q0V^P_X8}e{@gSyBJL=Z7Zn{1|S2YgBVhEx=
zft!s4GD2y+w(AU>8N?U?I=>a*;M1?fb0~XpY|PEg0q~2*zflj*F8?W|oLr0-fb{^^
z3w1dmln;?812F~GO<b`}M1~7ZVFQrDsz8RwR<i;7{3H~YzyflHVoLU@`L(Qi(t}r=
zQlenWVyzH>?Ad@yd9xYro}kl$1SrRRHiv0W9QsTo>=U5vxwgn_N+aLt^L0O#Bnnt0
zo&N-?p6Un*Kbe@Qg}MXLi?!VB1HK6)p`@%%!^Lukhl8L8(Gn%lSlll{$EYrGJwxgh
z69g1NUWeqch~RP8uC!Z((U>{q-&T2dn}i1F6%o_b$#o$(0FbD8@YRD<sN4LGR`6Dk
z5>G!;Lm%oA5cGFKo+Z?Y;8$IK0ZkZ8uv7snMmA=NmZ>QajEGg3(MJMB1Fm1_6Vbul
zRE=xMpVrAC^!pB%1hLlz3bNT)x%I-{$~`8H@{Q6_3kZ2ZNLPrzA~5Fg+!jO-I00D|
zy5uXFq3H2L1U-ma0%C$X68Vsg49EkvJ|&n5Xg|N>W&(Mp4}23_^*g?H4iM<>zI=oa
z#>!y-)DSI86AtI-fOqJh0Ymr)%FCGOfaj;u5@$dc4lj}n_~o#IBA^zVfP)9jAt3e+
z;-hndj>Jc5TwedafL`wh4t=1cGvBs&uD&nvK#b#RXj9T8!6rSqQM|V<QK^zN=S_1<
z%ZFN%%WW~a=`?W~Zth0kncjD)g-K;VR}+GRgoB`1W1%m1*;^s~Yru#khctb{LN(_U
z6)BBY^O3YY!$~J4H)mP|EIDSR(!jEt2b?qL{Mj>2mv~$Dr~iiwPze+`-P+o+%=>d8
z#uYPjCo4}3pMRsa=OKd@vgsIbXLwm@z|A79KH;n132W64YfaaDz<|XedV7fETP)X`
z-)57`E+Pg716>4Z54pKNnNMim?822@7p01;&gHY$K?E#hM&k&gh(Zx*dU?1CK{49&
z6$5oy&pZ&o?ufj^_YZS-BS&Bat;%A$n?)8i!IausBPs9=hAS}n(98YzJ}$HO@phwi
zZ~>n9BA$A@!{r$}H^KFv!4pedd9Myx7`}*G{LAB#!Nqj+T$CjegL|aec2;CY&hl}T
zOfS$kQ12K|7bZ-G6BFm_2z9^6`sBp?ybLaNKluwsJB;$d*>3DJV8}peKLc-*{&EJ)
zm>`)xvbo}l_BqPbm=`qQiyu@uHx|QY&6_A1Vbyj|-g??POH>qk(46QC$OrX&bA7@y
zyR2*<QU`ZHb89Q%otwqP!g2=06HadKa){hP7UoPgfe!d)Ky<wjq2H%$DbZ9~=%E33
zoe?#N?*u4q+W#kcvC36_Z$a#2JE^y5@x_0X>n4Q;q~LY&Im_B;@nB-_9A0iWUgQwF
zLys}w1$zZr#K>DfU4Ax&Qw`-KSh+m3oM7~yhE3UHD?AzJ)|4G@UgZ)!r86{y%`fiN
zuY73LhtTB7!NKU07P-aSRguqMFXydZ7TEs_oj9aiT5GAkc)^fdWcSmOPkA0UdMJ#U
z?oSjSL!ysqg5BOUz&izNcO^tY&$qsR%QU*U!`es6ESr&pQkpNlOG-k%LP_1$1c*M|
zf(++xEl>^iMHr`Bf{hM&+2{#uBft^%_C4LzKC>T+K`c`sjR)Z|I+|j}T)=7Mc0I7#
zD@mkg`}*>Zo~(0x;5X{hBqkTWu0Q^%V9QvYS2An{hw-X^m|PZL8P{zA=YhxICLaiM
zOYcTqh7TdeUDc(f&+y+hlt@>Wa$O^LOM!tGqa-Zz3yjFP7jD@mEo;3H&~`<4U>ly4
zT6anW_OocQ<z(%*33Q!jq-12jIKNWm_U}*)yNp&`Nsww(Q+UW%%C+yB-}#;OnYTPm
zxZjqI=3w8V9p}x+I9yWE0bCpG)YJZe_V#uLdV1B`tT~C72qFhw*H)}Ca#>d!KNtY~
zkA?1qUO9cfFV}NlCz*P^IwB?ts@!4g=7^{$!k(!q9bHQ_)-TXv*qYi7>(E3`*h)>S
zdwh<S%HWg@pX1k@V+>?Fhl=ing71FRq%qx9qZ4b{UKtU6wz9Fhj0(%EY|Rj_E3O^W
z_*=M$_x$sQKk`Bo41My`h2TULnSM(u{&w3!8HSi~F~sRBZLe3Ybu1{PnsK=#pe)&B
zivU<2DlAK3n3FRZc+@l7U^S5V3%6&Y);4Bxon`9tzqq&<^$T1DMRDr;J3C}X9SF$u
zO2*a=RdjP+Pl!W<G89sOqJP;e3bf?LHRQMPK&IP;!As{$LMfvjRp)wWL+K2sbqI$c
z_>PMfgG1=~wO1f&BDx^kc6RUc2sI_|?;SpZj6P#q(;~jl^8(9~i+=_HxE4rKJimlG
zQbZ(EUzw&6pJ?cRsxi1M#tr~}@bX2(&u;=SVg&dp@a_vfjmwgD{YIT(_Ga9oY}o96
zb+B=qC{@g1)=I4IpXT%TRKKIB<9P;%#%n0;{_&0gkrxuOTlioPH3{^P3`nPjbZs_W
z(DIK#!CUOukKUmQXvG$fG?tr<<xh*t5=TSU(`;p~>1}j5TKsKU3OQ=dDqUx3U+E}=
zENE_@|0y}Hz>w45BY04f904Q9^<d+--c?nAA(0d}IAmU#E9F#FIJJgRix$I9g^>5N
z+r460LZ1Mqed)#CC7RcnSG{QUuBrI>8L<?Udfe(1gGnafRkI!|#%2LU1VUr04|2a(
z_JKWH4%fdOf;EU}f)coB?f_39TqF-j6NW6mlq`S}Hk)rDU0pPgbgCYE4nv6w&bS{3
z=OOXu^Zr_nlSb~=mQ6?tM_T}dA(V}hE4}NwY$U54H#gABvBXf)q7kO4;3_yN`s@6(
zf-%+x=|RFP&cC4Br~xrY=#%fO4gk@eH9}Lc`8p<^m=yz0>Ah`kcD8XG!r0;-h&GLL
z*qCZqG37HzbeYM{vDMVKE=y3sH17NiK0vm-iPsdk&aa)!CrY#4we3R$`f#1TmP~S%
zf%5bv(Mwx={+h9n5s`R-`i=AE)oU==2TarN$Ba$?z(DZ)zr=Xf_x|`(XjA(4Bo*D<
zYBG)eM8AE?B^K)e^W0S@^|A9n?0P#d6dtQyYhj?F{rTVIXf8*01&=mp(U2HaC^YPN
z-EvwM5!>R;>MQ5}2hKZ+Daa)I4T^gnLO-H{oBw_L$CvtZ#0|mG1|nQQSPmE@8LouF
zmGeIad(l2@1JG(&bUDGU2_Q`=I1o$^VE*^>jhEintN^4;lL}|l?M0wbATJ$4SomTJ
zRH?v~`tqsi-#1ah?r?g8c?2aS0f{mFE38qdEe6(lgfUK?ibxIMKi7BYl894=Lht%n
zc}dkp1|9kF`i1L5-`Bo?Cju0^?y$gtkM;-T1+*5jDAupWaRdGR;80~#p@|P^*{WJv
z%$F`qaGt+OPbe5W4UZ;)z>74HwSdZi8<xB#G{7)+2#Yu~K|BSy=`lSQA&8cY*Y3%9
zu{3-6{fqz_W5NKwjM}0bP&dGs=5FKpB_YbJM_IzG@&@K_5CHL>sypW-UEprD?t(`{
zC6eur6?YDE<a^C5h?pENZol373{OASX~#%A{N24+&Chtr1K>^vrDgTE^DV+K6dl8r
zn@kW;&(~{XYGWoSoiOVzkrYV8Nd{-Tw-BycSlDY(7P4#7^NKUR(>cu9UOSGUojlsU
zsFuTCr*C3ogc^{&LdF|e=V*oJaC$w;1Ljp~i*67x3SW%>?;Z8TZs7q~5J*P9U+nX6
zR3<!lq9d6_M4<Mv^D{t>;P)zXBd}!#_Ap^8KF*pKqT$isOYjvaL&2V~=?MS)HWrC_
zp`EtgPo_#mLhM1F%;K+(hmuM1^6~;HP)%u8F2mf9n*)!!RO_@CM+>up3J|OMFJ)p{
z1Dv(8?PtFNH6L_-?KBZ<I$$_I>|)+uUZDXGKuJ+#tQw$>gObUHN!6*d?a7B7InluF
zt*2c03RfFR$jHe0E|BVp>f<K63AOQB1f5?%&jN%!7#T^>qZ&PkUf+5zR_3PnZ@I<N
zyNd!@oM8{jxLRHouxa)g77-})Ce>kSwcWk^<;IPTR|4lB=V=4l>Al;Bmk1zmy9QZ&
zvpx2SzGm66`#GsM1N(k<Ii&sGKY}L}OUk^G^Y|<(LL|^xUxCPa=6o~x$ogORuxN*b
zd;{GRx`+DN{HVfhy{|?_f!BiUyB&NQ;a3EeWKm?>H;uC!1^VK6UHxnR^#OCKv$cxK
z^}T;B7_E$#ha|MxvtZZ++xkza*z26O4Oez>Sy#zCDqKeH67caF$^b_Z2;1%xpUwNb
zYJw*Ih+A&ETE31=OtdwD^#@!G%kh8rNySTZ0dha2MEz5%VFv|6!(HbZ_%AI>&!E3v
z`*sD>(@(c(7@qZBX7L(-mP}lMCemfPk}F?sfFoLg7E~x;BMwuzE$8$3iGw7#FgEDm
z$IG5Skbx3jXztL0i_`@+z0@;zxPVfE4RdK@SemzVrL&C@UxE6q?KG*+7<q99S?cH_
zqhq7PIf*Xd1rzcH>lvTxcp_f70WYvnGJ<8JnlK7-!d-?X!=e){Yr)EXfhI?5#fBRY
z)%>|z=ReX4QuH%WjS!XLqGAZ$>n0cNa1Ty49W_)`9^q@?`b@4v{PL6a^Ur@j5*>pd
z)j`4){}rZn*<a4T>3OZ*UGDrV6siw}{$H$WJtyl3^$t8l146juyt8(^w%Wns^77p=
z%jcgI_Q1R1x2B*M{OS>t$+IK<-!F*4OuM=PgMXi0y!cM8|MTrYTfzPZ3F-eo6Z78>
z#`HsP_wP%co5KHKCKM{>BJBMCzMJXQ!&PwW55OAEAlO27W)KuUrTtC<iI;E#!B685
zlvI@#<CW9T&f^E61#1uDska;{UWAc`v5Cn|2YxsSi;K<RJBa%VP{7@RnUJShRr*Bi
zzYo>np!ec&9kli^)SBz%)5`%KBP6y0ynoKmRYO?)Al<118_e<_P5<*l&-5;Bz~Jid
zw;Qz|v*`&mZCa@TKeMAHS^`Cwg@rp1R$*8JAo&^a0yJQc6;01x0udw<cj8A+_TR_m
zA{Frje5@|1)9|_&1oKEFfs6{NSklw=7f^MRXVAZI!AN2B+|t*EEB*wg1PUu}{<}bi
zX+Y2d2WF%y5Zytn9S}zCCKdu^LjR0MfJ}M-d%k7l_wNs)SVvH2zm((&6aaA^1SwZf
zU>ywbpu(|b`R^q2+$1sgL~PW37XWRKNLP4}8%?!%4!pzcC~Io^zu#2PK7y(<>ZYLl
z`_o5|^RIL=82*U96ND(X^ViJ75!7v5ALyX6O?IN;zIE07+c#0DX1!uGLE->{(C+zL
zCmCNUc6(kGdlvrpb2^`TE;^bXy?#W}SZX^k1-Z<^YXAKc>n{@Yf1n!*B@?Mo64C7h
zZxdhzaULkm8ujwdw^8`dTO=<$>lQQPX+Hh8yinY@j4A*9Ys^J)J`5yY790BAf3IM8
zL#N<M6!U}qzwb;rHt*pePX!rt{*aIizTIqwWuwwkQe?O-$~TaHk^>7Kn|d505^q}n
z`(({X-3$+4U$Mq17_)>w{f+Z68!oFUO}O!ltOQ=ur&^DS$#sB$2r%su;P!b^A}c<|
zD~FQ;R2ZL$<~0z$!gZXBAY7T)1Ro|iHdXrfw~Z2(us#S$i1igi;rw<fek?_i^^rr6
z%u8dJ7iXhHS{cjEA|e=iX4&m<|2&QH04LYUgx28eS0;*(vP~N1IGH~hdW<x`TB4z+
zfml1;85I=)*jDeJnA;dR8NV^RX)TWZVzeH9mjQ`5nD%VVTLbTsOnEXrjHv(JV$J%s
z*Hk~EP55@6xgB>rp_<-5$|@Fz3lM{iJgA0oz*%<WpUAG3R3TVvBLre#$nZ$zWXew|
zwJ7MYyo1-*)&$e*I;F2wvv0XSEn6Imw%|K{=C;ytZmp9!6)uC7X)K<mK**C9+?!uT
zmfHG-()_FJTK=tb%)c4$3nl!S2xWT66CX)0GoC<Is4#r6ou2L7@IK`#{aRP24a^G1
zM%L6GT1gs}W^ef-X_~yi(#=dOZvNKfmp8#LI@36eL;6kZd@-LiI=I(|YawHz4&h51
za37@@iA`r@`D5-_izXE>R#O?o8S+zflLIkQ^t&eMOaAV;F;cl7$t`+uGz6QWldEK)
zM-Sh2oz#L~;aPBg7Zs3R&Dw=)UG0zJsAKqp=9j=vF3=Nr+T`mub`!%%GE7udhEF`%
zBmBt?Q3cU!$m2^Qgy{%0k+}t#^@3i?TkPJxzQJq%kEW}Dsxs}mmlPFgq*J7a7HJd#
z1?fgwN|5djNs&fHT2N9#M7mpAKtQ_0OGtOge=dIitXbnMy<Xn;iIe;6&67*JI2Ond
z%l3qVbO+QO<C#?D8SWT`#t6UUPwcs~;tGGW2{#x7ae06}UrL&j11a7!tR}9<)w7x5
zDw3APx)U6=)5lPjmmu`;uNa_;pr;^S^!@;`LU&Zut<L9qN*PQF@=OKYaQFj~Fj2=v
zcH66d-$t0qg_w@_x;+l(pD!K1qIHkU0<}Kh%5L3Zxoz`f(Uw5#^_w?}9@E3Ro}Sgi
zD>mQ!!tpddrxQg8vHdc8h~6^4gY9h2L*7P%y5+3b3L`KP?^N}n`mmH0+&l5uQ}Nx$
zLt3K&d6zaL`@+4`^HEM;C1`f=B^4^CkGRdzu**58$flMCM|H06+jyF5W>4E?yin%z
z<>`P@&Div`Vi1Q_?1Tp~;Yit17OR$q2BhIiu7U8wcplI<VIX<|)d;ns<uENv;_(Xi
z$~g7KtY(+E+}GF@Q!qFE;|H$yOL`n<WdHi=>eG2mu{P&pb**1eB>`w${t@+XBt43V
z0qVjprL)BJ`pL^C*X=4#pIsJn1D;;)vXz;xosG?(wKd`gmX!G)__w|=f=Ylf&$~*R
z8hRW6?URzi5zUe+BEW3!&R9;9VE)2+dj2=R809l8I4`&R5lK7z%<k@PV7*DsL4jRT
zd7^IlN2@U>Tn%eYQV4bC>iN>S2!iib<ET?Yd;_&Z9baxbDZ7&LM_47pNN}dgH?Qwa
zYIKHn&~oWbT67S~`HafC-fdrcPT4iU4}(cn^a{JO_^Ug<iH)QDhE4XzJ|P>xrr|v&
zKqdDo(x|hK_yCmpS%c3$o!#uC@@TAY%u3l1SmUy~TEDdF2D9eMR#EUFo&*y*C?y1_
z!V}uoy)4Mu%ynmEd>W~0{@RTH=Bt$&3C$(cxr_`$2{rSu=W9d|$BCvOQ}0bB&8I^0
z+Qo%RzASFQ3c$DUDki*4B_HsA!uRqUPvn^;>NPu1uZb|$kXB_1igS!KN-KCI9UuG~
zWsZ4N|GicFx*IW}OsZ%93ghDmtouz$sQNCC<G(+=O^z#w!=Y1>c-xjv$OPxdMhTKb
z{_$fhv_>8HdgCnPY)I*w@_w!#04QOmK5O5Bc-P`v+ETBXZU|$vmuYtEJUIJztCXlu
zGe1DZBIHG1zVHEKt({!Vnr$hwtj54w;<!r--n=IYKU#tH@^yG2B>?HqxJMcm?7~P?
z<qNnYa%;HY6Yq{MAFe|dg(-)riQF30-FRp4`RBj<8(~b@gmN;ytjRgqYHY1M(yHJ(
zbf!>Fiys>ml=TuM=Ri43=EL9=VaGc_h87oVk(gh*Oi5X<p??0ms~VcNR#w7!4RY~v
zGq{O>_arG()lgv824dX_n+jqhl&_j&3Po+rFfFnUn&|IOnBRQNV{V~fVN{ZS6S@DI
zn$kzlE&-awBpp9Bw6DQmP!SR+#Q=8#jN$NPcEcWuKjk+c^4e*IR`I8FnE_q%57NtH
zgo!#vJnPWI6r7O`B#C<W)G|_)exxG>x&a!mQK_wpz`u`JCCf^GTs~IrIXN|j-$vy8
zclrDWu;q+=G27v_UEz-iwm48rlXLgqPam+W94lKY+E)Da7%80g75*QpxkGD|7_B@l
z^A3DT0w|Cl&=DV=mcB$~F}NX@Z<#)}Mv56IV=$G$n0ONCZ1plk{{=lTG_VzHv@ym#
z0%W%dxousSh#H;V%-EQ=t}X@eMpU3~kdP<Jlr(*1iFgVr?09uuku4SXs|0Svh<<^W
zPw{5fijf@M9No$j<A0tBOaQpJJLOx($9RD*>=mi!f9?n_^VMqcbil#OtwDK6A-2n}
zQ&4&G1hgYuOP;OSW*ORVcwp!ms;a6Q8cKwe(_BHpLqA1T45t!!&gxy15D05-$W@lx
z5!Ya$aNkG1s4D&C3aWzvhFOF!D!P10KU@vsnP3tGzPNI-(<>j6P8juDd+8z<5A$y@
z)n;YIX4<)&pq&S@T2_>vLz}sW)QQ~~a{OkpjD(yYQL&H|obrIAHj6R{rK6D7LQSB<
z3FIO!!fx^36lKiyzuumn_k9fLC{t5YN0wG7p;Fm1+B1WX>#DdRcs%@<vEdecje^mo
zC3)!B4<jCvB3pL7&P<vk={NQqnwcKNGB#*j7%OwKQWL=prb?T;0B%rtmGQ5VhXOyn
zFOR`zHn=KHs=#Og+=BBf5qCHGG+Z2XSq7P8#(EwM)>u4{13p6F=V@~n6Uiu{S@f%6
zZjeMBEDQ0=3-|$&vn<(+)f-kDCTwX5qQnPue+W>pKgNa+Jxc|aJ#2sGQjx+mZlh&O
zz+Dx-i8{B#WT@-aqzb(g%;MUop8fUiVrjI4wszFuvRdbjDMI#NfB%dlIcMP*#@WNN
zi+2Eji6`kZI~>n|@NWW&jEo(^J$EUTq|pJLJ@)Ff0cNaJ@e9JRXMbO%;*fLhG7kNA
z%k8b|?+6aSiKy?59-_WLkpYeuf&j*YnB*7}<a8}((4J1nNn_c_yZb<XR$4kZV*(}X
z9}mIIhEx7@s%-^*CZvN<D4r7Nv-G<Orrc;o*~yCgC<{doHu(7bZ$CNPpjv5*2`imG
zyFE^{gQllN+^o@=;<Sz6B)~plsGKp5b*!g|<_}cdxU#5FVx?4gVa_xwGOC>a{a2Ki
zcP|pY?Vb3gwTixm9kk@@%qrh8uTW>#IIr-eGl{Eu0$Hp62FfCg=ymOOmB_T2G1vO+
z?As}Q6{XA@y?o<LiXUG;-TMz%oB(x12D~Qn;PV0!uKinO+L+vmiqU8Mc^PsPi54+b
z6_M||)P_v?r$<hPZs&3n26t^-z-?-fEPGSSuR+Do^_lj&W%3U%GmgjOHZ&Em!E#)v
z{4NLc^7~Gq_XmmrG^Mu_mIig`2t9RT!{N>WRwIwKn`taTftmOv=D14%{$T8em;PwJ
zNi3e0^oKzOX7xRmT`=%-OsD_~u_e)=0}%)WNMID0h-!*CBGjHd5jh^5CW`5t^dQDc
z5cqPpp{ZJOd~{NSv;=is5bthWE>bA5%ph_%4VUWkCuk7q5AI}CJikPy^DHVJ1o@!0
z+UsFTFP*8S*P0OJAnbWB(d8{+0U91zY0fl%G|9)~tK&}3QQfg#kN^D{XfO@D9e$tk
zmC(CApD4s2lDA|`lr$S2xykI(Ckc51E5JQ^75hT7upU+u$r_7v@^<P!4!ZT#S%rn5
zlbg?lYN9b?B>#lJl==f|Bp@smQ*8a*cHu=AlTuBSg4V!Wh)Ey-$>&0OBj&4@ODY$|
zs|BK`QL@uP8$b_X4UvgbB|kYXbiVS7QT~V-|MGJJv6G|G&e0XS@LOfXsNd=(fZ&}m
zPKOh;E$DIFYNwIA)zcgK#h<>#&V((bek$k|)+Ui5_&yG+XCd^@WdZZQw|8wpfo<K&
zawg^oK8l(W++3DWR>-OJkidT=*KQMC9Tvd4?;w&Ecn^_MPnuXzP+wm^`0NMVyr+?X
z76;T<l6w!B0s1Sb$RX!8N|}d12AUGk9D!``!O7%QLgo<W_??AFqKeVKm6T5{E6U4J
zIJqI_Vkj$WYmZfkUkRnvuki4L&VZ-q@vk2|i{Qtg%V_J3=fJ3W_vNFTSb>8(x1*pU
z0v}N~pofhJMuma_R?H;VfM3U~Ot)VcHKM4gsTXA{MxNXK^K|iyZO38)uU<1lh@UbF
z25J?QY@tJ~*mosCmp_}58HsL+Cu1|=?I28OiaYLfCZJe0<jwfJtxN>@Fh<nOWO62`
zM;MwP06>#}4msUBf=laf`z~jEW`_1vJH)_j*oiJfGV(8H9${$P_^3WTVyb<nruns~
zyo>k%_r_MLv*IwhX*?6Dqs5E>stmr~_h076^pU;~SA=6M_aeKKll90=Z{NQCv%)tO
zC_ReyXnU3)#N^&d$o&c*b*rU8EvW_5<z@-i)Yh7o>ZGjyXGp`GYfbZmxbV=SH;J9B
zM*b-E`_@=hS(}GQT15lI39v&@r%$dYlNnsw*V59ud0V6NDQ_!}T0tDl10;8;7c>k1
z6Nf$9ypsYFIE?8UQE|C^$@vrj_8%0uaaSH}+i#R@3s||YIRZj-%nhwn*pIv<>yqRJ
z4M<15_!@MuvPqrt9vHR1OlT^SumryWv#dqG1-X)YGo2GyZ<P_Gkm-$l|32qb-Jxp&
z7@C=>EK0G>@kk3hd%Nw^^F^OT-To)yCJubPXS0^mzo0C`etC|?E|*!n?I~}+@F7cB
zjyod}W*{d2;yQ6wyr>1;&ABducWm+zFqsM~qPId*5cMUVghff(jAsTZE^s7RJ_KZ2
zx2^OWZx-qLCLr<Oj;gL{p+^oo(s?%tdV@tUHR*(DrFXQ^c7%61Gl+EuN}sER3h}yn
zpj#4>Ic{uwMEBQ^1$*Kb-AROFeaQ<TxAV-4g)vTD^YxYZu)RtU!06P?d~<P|!9Rdx
z{M7WlaU`#ds&wGX<A#A$XI-;MUYiNHX8c5`7gF$s%c$r#B+Vyr<o%xsQas(OVhXuy
z&PVZO1>z}BU)@ML-!ESJ095+YzDpzjR~(rZQDw93^G8j>Pa<P8Qf9aQKy21BQ86A9
zT6vBi;4J>{Owf|Z<bz)=iWD=ioHU=#j}5|}DjZf0vRgg;+}eCGFjL<)`o<h<(a1aF
z(6`ZNeXY{8(<=Ac=LC%pvH~Xr7+x=egOhoQFoK`mlR^(BP#}0DhAqBINW_!f8SwYN
z%)fW(rbnjV{48FLFnIIxWeH7Z%-X30G95XyMn&D}Xv5-2B<dKyPxWR%_;AYCUe{@K
ze66`4+p$VeK%kBMfizERf_;%(j@;~_kz>ePbFd{*Wrf+)E4CTDqz{$^X8tIET5o=V
zwUs<qChebA{tmU!`102tBxflG3_!o+q_li2zz`f;`G7gW^Jt6VIdiGUSKRc>c$XgE
z9q5GBwSTIDtQ2u?Y#-<u`z&C*>bVYssg0T0FIj@Av+=~79FNS%U=1PuJ2FduCaxrQ
zc69VRSWkODR(-v_?TDy4F5@OnCX#y{p4>vwG&PbxKR>U%`S1}ieCR8XG!aYTc#1C9
z7;@gs^sD!}Af~pyw=n2dliLz>rsHx;uL}<!f3iZH91lIfT=z;~YVlem@0QZf`YQ+=
z((u>(`N@K~i@@0fdFbRi<HEwu>YrXF#7DJ!ApK?UmEd?O{S@?7G6pK26!GAq1vmqy
z2KYU#lI^`*fraLqXC@*YehGnA+suq%?KIvC1VU_pqn2*N%P5QR1v9<cyOQYAYBN4z
zKE4)Vki+e?&nhS|*PUZ6Ol$g6I(;-PK%cJZRGVY9xVU(qKqy*0UxP$OjyZv(CPP?L
zlLM7b5K7TAlGdYMlkU3_N-Bv=`;y}ERaRca_4i-`g77i5ulJjw6U*lz0!%1DpAXav
zL`8j#jo-W57uQrH2!o{Xb;M+&%cgM!5)yw<`TF`=Rza8F^_-3B?=J<m?k)q2tFVLa
z_*h%;R$O`XIDm%t=dO9_dF90B`z?fVU`6?`>AJL1Jufe>33&(GVx<QA9T1<ue_vCM
zsMY;}flVz&8f&0tub`mt{U#TRI+jc5r1Khl>2+%$12%LamKVhRijS8?+wzE5c;@*`
z?;U3#WXf$c$yE8w$x)WD;#RxNfXFLI?z8Aw`jTU1dGSvqw4dbinfgNrq~!ApR(tjh
z9=2(H!lEwq8S*#?#QPc#)1|<~5wc;gJ9=~^#3-wZi5Q5Q^qoEQr6atfSjM?l==JR}
z8%^i7uaPQ=!5D-(uDL9zy>nJYDC02v;$(PQr1e~Y(s4i-0TYz4Hrx}8ToH_Hw{;jC
z#OA*;s^Wj3k5_AuzA9k)r#iFNb`p5uiq~kNtOcbs$;2LTqG5ZfyJWu45kEnZYQ$Qt
zJLuMx#SOy+J9|;-JzvQPMj2J$P^&I^4SXz~$|{#Xwl~<s<KnOHz;40kaIbGw!75lO
zF~ZKEpd8}Xvv_oK{v(i0A;>$AzU(fWj6M^f74uMO$KsJvz>dVIqIB!~O_q?l3naKk
zFe(ma4&Tp*OS(|&Q<_rlwcU4a%@O2$UtLG}U#w06@FHJBWOu+RZp6AAJdOt*HKOeS
zCP32mZ=v`lm8AXYVeeCutjkZbPkEVr$!!7&84!$olLZoWSo>==#TgC5-gOW9(bs?B
z(4wKgarUDvUu)Qu1UBSryF5b?mi-KfGDVA&=c|fQD+PfCSpg;Y!zK^P<+Gi-o4jF=
zdw8XAC8J44e4{H2p@RJ<c_hlSq8&)8z4<!y<*Pw6bMjzeN1k5gky#`KyCveT-$wVZ
zU%!U2H|5xZ=<i7zjOAYdxpC~_jeiG07A7+Hy^KS63}@+vu$#z(zJ{5Wuda&CR>RPw
za?-6nVdZSK?@KJocJ|EowloA?E9e-sK8+MqA>M2(9^N4R$@;VKH=dZyyQoMtAOQ|Q
z6tzu^{`a%SF4=;8|EwLPe2V79BL6(xjL8=NV_#z1hqSJai;HtUQXuO;H~>W4UHcLN
zFB7H%e?1{n3iWERPNXtP>FE;jC4`vGpqx=VEj!f+pp?DCL&&wq>b>B~{<`tcP>e6T
zh-m6JHT2)#`}>aKen$e0)#Sm-t9jT$8sx;p@BfU6_zZmr2z6P|^s0FU$7W~!L)Roh
zKQ<8UcUotdb-vvXhsXHd7@E)Y)a2Q2BdK@9Rg7(YB}x-K>=2uthUB5KI8Bk!8SVP`
z6<;cBGuADu-(|5DjIHfH=5S>p+1a*#C2eyc6~aGzs8^&Vks&E$K6wB|?z8n;B3_bk
zL~;vB$M51A;6_gMBL)K-`zjRO1D@aV*2a_0!sTBd52bNvwtO%4?g9lL#1fx<eQkYd
zdvOX8ggVNWfg&BhFLl>NQnKk@gqx7RU=NVA<Lk6}#XG<uj)_pYjY%IIu6~tg7(;w|
zZ6APQZcA=chv^gxZJS|i-vlBj7wdOvR%|C_rSHBD`*28Z+I!Hxuw%`YD2g-pfwe&E
z({APFM8mSzX`^xYvz6|mN%s<l<eX!_3IuS1?KJ#vjl+pkGDh9-(7^3{!!}w@hbx_9
zMX48x^xR@SP-Y^A=gyVW^}iYkk;~j7K{8tFJwj{x5dy@5dYGw=Md(kN*~1K)rp-p_
zRO-}Qj0v1>*mR3eueUlldfp-0X)BA9_Sh3+g)?R6>(_Zzy3;$gu8DkCYP{{4qvr?@
z?zK6%Pj&dL0bpgEKmZ7FrD^ycapwS^HkGM!O>yJ0EtCdC((qb&X6o<aE(%1gQFmGi
zP!_Ls*sg;4FVzuSss({galCX&WX&x`Q$*9jhm&xOriArja)elA#jJp02l*auETXg6
zycq3;ZhqMSTUCJ4ZtTL=A%xZx7?YCohutw|tb>Q=^f-nKm9J1{r}m%OvH3W>Qu<rJ
z{DAn;>BGZ$Us92)DE<eZ>J&h#bcgPSqdG%g^@i;soe#Zv8r&z`wyX8+deihKPk2-E
zK45Ao-yfSRXt$;?BVtnLT%yO6k^XJ9m1p~xA5<Z_%-*+~uv~w0K#XJx3LEDYgle|Z
zF2$@{P4Pg#g5TM=0gI3c@r;V6PhWE!Jx*}j;_*Q#PyF_se_kA!RzSKX^BJUv>@N=N
z{kN|8Z;h1r!HRbLyf~J;K#p@CH{<(lQ8jL(JlI=v1CTZXt|4wP2+wsnVa;Q{j2BuZ
ze;+P=60r3hyWF<vi4`sqRLq{gJB4bqX35y6?*GWG=d~-gTNP7hnw>0f{HBxe`Dr7V
z;T`t0^cgv}Gp^1`(9$&<OZ}NRh2{09-}IYdz*2uKirb=y1XG^<jY!|}4j4AM`sP)(
z3Pa3?SGwpI3QbE#_;&Zq_+aYIXn(iy#?Z=FU<T@N-Cu5eKpynE-_nv9U$VzTnH|L&
z9*gvP?lyO^Wb}8b<nL;UlK(jjv!&VluIYvAu#(8i%ECO~#m45}4b)&63e-HT%)kr>
z$t$w-<;$yeVGZjgzQO~AIMrsE*8=%Ee(xOnRO?G@-tkC>s9@~qzbXxHu>!@I_fzfC
zpDQZf+vNj4#`wxc>Mn@4m7W4Izq>&SevzBK8B3Wf+x*+6$g`Gcnm@diF+op-uqqOS
zeI<Pi##oq{U%TF3#vbWk#0-ROl+Oh~sp0&GMn#}G!oVn#>g6tS5t|R?vwQ!ZgY$X*
zU5UEXE;GDCq3^C~XnCnJEVeD3%4q3=cOf{!@l33{gW`8T1z_ZU42o0~{sU5Q7wgcd
zr6A+x<UAXsJ11oP+bVh1nsL^Z!5Z<UqT(Q>@i+wrrdBr3`Zv!y{m(j|>j}ahYYQlX
ztaibOwe{ksI5ISZX|Mc~Y_*krrZ4~x-Vw$>KN!5fhKSu^Sd^X41A*eodEj%(R?DBZ
zdw!FcR5b7=)drJWn1`NRIfv9CuZqrV%VgpHk{kH=84UvTagP*~mG7qXxv<b+g3=I*
zYd=LPclMLw@292YGJ~!iH{WV~xha1&63x=a%>q<aqaq`z8-!B&I@k_xun6t^r%S0V
z{FsR-x9~H{x6WAGD<Uq6P@6k@qIEWl(n%=e{tItL#n5)Q@wg8)pb-@l8583VGvaAU
zNta4hC~+THB9Yl8BB^hu@~W?)SPB2|;AX!rC};@%dW?|{qrZ=jS+pPLo>^OF&aO!+
zcJ3(UmKAYR+zO2Ia&c@(FUSTD!f<7>H#`s+8t3Oth6RkC#ii~(Ej>y%>ydom@9)q4
zrrV;d!uFwR8#z2NuoZ3{9qItz{n*;uj_Y#ui!zS9Vi=Fe<vTQf7b|J9zqz}86?J^a
z){CyrDGyYvU!0U&po9Fz`K+YR8A`|P;CbUgJxGC~ev1u^U+k`1v1k@Bvrn$mO8Ww5
zYkx$d8am=j0y2RY3%}U2_&jd^<<>TXVv8}=l}Q4}pNhy7eh7eMKDayS@Fj^U?!3ri
zB_<|D5QNU>8Wo1dNh1{J5j^g$*3X_TXQ$jE0>5OR=*|;hq@%MXrmQ()bdqf(;<T#m
zx1^1l7d=1fl=QoG{T6tJRS-e^`O|?K`M&FnJVl)Z&I72@ohv!b|HZ7j^<BHe$m8|2
zocD2o89Vwt{c1%+j9~#__jq1D@et+>!?j6nrzs`&n0tkyT>1Gn9`+VsuFwJ?5m`L9
z$;rt<%mEl*Y&+y|a~7aCznf!#0}ojt3!fec3kUMf;gz=Xg-{bFqL)Bx;ytLybE{X>
zSXyDr`tafRinbtOHgmCVyQ06mAL~C<CNw>fLkKO|6&0_|p;b{b1rd+_w%)!I&Kf+I
zD(Q{~behw4cX81Bft>=n>>cU#u|cc2Y_}O3`iF2)kN3jk3dWJ_2Q&oB=*^qgun-;-
zxS24LaoTuV+vr{V9G1gLzG1VZsOY%i!Xwoi{~DG0jp~=JTvWCl-itVhaoS&z<*Q<o
zPltzxYl`_N+txX$mc?iva+8a(-g|HMB}v`xC#am4Zs@yinkM}e9TJN2q;$K%&<+Bh
zi$dY#k|0|Jsu<fI+%-Xkf$d8pN8kSR{(?DjD3_7iHwGgmI8fQajOL~>g3g^s#8L0o
zOhQZ+@XHM2{<#f%B@100pn7~Wmm9m6IUvh{z;yZA7v=WrLHFY<Od;yFY@g+|;`RQ+
zJEvfivPPEw&iuEm6T5Sdlz_GHdEi`Plo2&8t;7-~j9e6H1r>J*?y9T=?BqGk2pX4t
zAFCx|pTF?i$(JU<p}sc{ml&GHhA{oH_1l3w6dDT|J_j<aX56uXv8kmO26YJnuZ0l|
zZ7Yc=6`<I|DN*va4m}RXz$rq<hm4w<%8@fDXy9Lzz#P6GTpjrJ!pE)$6^&?!ii&bH
zEAvja&UZA2x;=CCCJh@I=KLll9^yOAV))_V_u;XzvFjl(%yo%3TnTYTr~Lmj<uvNm
zW`8q`G~n;(=<Hk)ubw!;oV@xOT_qNa{m6R!^cvrpkL!oUYj;VuuW9!Cog5n&%tvJD
z!wbww0ACS2eF#<eTPpE_q=%C6_4lTpJgN3`Wl!v(N%vHOHz3#%Amg|M&@_~nyB>W5
zZyE&lfviSO%#T^=qa>pQka{Zq0fuLgS`<2R^z=+Zg@2y6o)q152xvZ-cX44eC$p~e
zSDt;8{X|y?XD+VU;%0I_R|!_{jH8RkkMUwq_Ngf@ux5<&fbo_p$0u$qlQx3cwT&1h
zR9?z^5{-Jcds&a>ny=k@=_<;ZEdZ$9$!Jq2HuFy-@!>^=9v^27m`WFAU-f)~!+jZg
z2B&tkUz>xA<^R!DpFC8#_Q(p<tk4lK<<+oBw_*w~M|1=n){+VZIQ~dh9CQXuo#w?t
zz_`w(=IZ8uvXe=^;upv8AQXY15+0Rv`B7x(g+HA0RxvPFi%RlEG?w=m3k%DCJzgvA
zc?BXcJ}w~e>l6qt3alp&PENeI3F3q%UeKc17;$oy028VZv%3KqVbJm~yM4o8#Lu;T
zLoZJ_&^VqY`h|i#__Sh8EKxBrjmwIFGs0~R&sqlDsf5!i>YO0vP@`)}g>O-ngP$2o
z{V__<{RJ46&}3lJ0UPoCjt<M<C~bx8+d3D;QUVP$HoAvYIvZ1DmC;OY^#ZLt3d0(j
zcW_?7rP|WjqrHB+C6kYf0TU6PtB~?Q`sL{uJOx9r*cdF=fHeD?6M#OUA!d*J-SOxe
z0Y!zP=)h<~xt+UZeDKNKEswXS2|~z%0;x970jYZ`w-KM+zPxhH{mOvxsBDP%rM9oZ
zk6V)!%6}quBDUI&p>e7F^?l6ajpNdWz0*X#Io!Pb)uc5S5jc2Y@8Gyk+Z`TrUphV_
zxZU^&6tPX8FluD{H0I(cX1iau{K+}c*4u*j1B&PpV7a#U3WUW=m)F$n`SPyhg|kcg
zBfca~k3^mK{6;}qFRDc<6vI8j{U}d3d%Ut9(qKF~M$FZ0P;e;^e;rSfQxrbN&+E|j
zQ9S!#t{chwz?`LHE2kUnCmV98k*#=b)Vds`vZ3DjiVjyadbgd-2uLS<H?PoL9A5n0
zyEwh@cR>j*HJ-(<lEBK<QOzXh{sl~LJ1VN|yr8*I{{x_V6X?&!oWWzSZ=TO=(&+oF
zPn4q|W)PD2pIQ1JSfUmd<fb>LYoU@0scYlkwMKx7p(-}K*=klcro|_7%+c$C6g1S@
zVjLq}Brl-cv@jopgV5o~WO+ft%|tYM6=R0<szZnH>WWJ;@7wRBlVnn~(_zXK-G6$`
z1XH5?f2AUKJ^OXIG6lV_7%Zb9H2S~16?At6I_vcLoqiPp%(b<(dc)1FBQJw75DewE
z7^{co9ZV{I{<`pR=teN6iqPrGz{V;&{tII#Cq4lFuiQa7(2`%^&LOoLTT>Qw@^N3n
zzt{p=iLF-ulU)B3P!rWJ(t=>nZ>`dAjr;EcH(yfk^C!Gu3KQS-EZIzk{*GE*MgJ)N
z6&)K99azEJ{JT35RZ4rR-NI8CQhuc_<uOT>r<9WDbxonKbbibln*Y6#cjoulJ&^B-
zdhx7L%V?=Ec1R(FBf`l;y<RQ<Y~jyH1}E1W^<?62kL0n9^TaYa%J>r?zI!VB2Ao!L
z@eI@p<Jt`AF<-RIu}IcF&lAIK1@@I!2ZtK+$8*g=?MrXoQXRbLyg@>3^byz9#0r35
zK=c1O_ccH2cG!nhG6!6MR_r#LVnF(DpkV#?Z|dj+aGhs79T0$X_Ncj$43d7wLJ&wn
zT@m!MLeLRyXdjE$^lB?J6J*Pr_qYhdio3`~cX2#{R_O4YicaA_t`b=yEGenQobFf0
zxJY;^AfW>=UcQEaqB@DWlhY7SB!p;Hb=Tel4_Yr1vaYf5g8t2)EST{`6*$xGeVy*4
zAgJKxjN;~;UP|=`nJ~{R<9S86Unb-S=$=AeG2?z_d7L=tlNCUwN2N;(=G=*SCi$`e
zd71-ouUG9}^$lfZi#1%P3OJ?Z<s)nRP^&CnL#Tij`s&!`nB5DCdmY|qPn%8Zd6-K`
zBSQFN_$i=UZ5kyD?VvH&+Ua6~thZ-h(shU9>;BXDeB+tZ<X=|2X-!QUIy!d)cVlCE
zRN!H*3lt?S6(!CFm1AomQnb-Chsq&p_`w8OBi06azx+ELZzgKjZ~bz*${i1ee97t3
zi7?ogUq4a40-Jz|cv1viqtWElhYwy5@^uVq>ZTc3&yqvaCl_K4d_25`-}~kJo{z9&
z4`SuE?mW|5+^I3wg~S6{%F_WcYNU5zVJqWDG1IT4iBq=_kFfQ|M}D(dYu3Z;O=^X$
z?&v3lkN#;3#y@Yw*qL|M5s)QnJ6BJIT!Vv-9+0bW7z7UJ4w#*9ldmpa4B6{NAu!xJ
zt$I2u_nOf{$z%LyAJ0zKhG?dyr;obUtFQtpQ~bvZLxgzVLJN6{X(X(je0IyRaKGNR
zFO26~JfeQ?5lAL<pPJFBzdSWz@1gkEnp-XR6E3b`2Lo-KW?^95E0I(e$9*6zHj~AD
zQ!cW^v;LJ=^h4rPB?&6JMit=;)bl)kf4Q4j<z;1M%t({G8=lBHdUb*m(QpU<O)a~-
zcTsx3m+A*X(Tg>9SRBbYw-dU`)(zaVJPMP0f2P^#;gpX3LC~W+bP!}_tsT}>UQ26P
z!SG;cgTmB@L7}Mw5M+P|V=UG_COit7{;1IadK~J>6)#}8b}VlR6e4eUc6<S>D{dA$
z4>M-AmE@^;?nsC}Fjz)aHTJnijf`LmnV7S`+ENL;49hy~Jh92k6-i^E9D_$06N7hb
zW#<x7^|mZwBMf@fkun+?*fDNsKM;<sBpC?z0zA>VnWG#dHleH<dnyGxGSYW%*C;79
zRgCCS#(!)}=ck8@zdRA&atfb(sx2GiTnZ^(3qyA3Ci98%A3H4}w)tOZeOdwsO&J=e
zl>4fE;gclZH#5G7EGC!sSHI%OXNIb>*^+Y%zV;uZmh@HD<&w&fV4}fz+-osgnJlg>
zsOP3Xk3TDG_uc<^@8z-#5$$^NEh&1HH@&+-x0ET;=V4?}QdfURYTT(c=#Og$y=6Ws
zw92tkS64@FF&x<1*nk4+@W5t;w`%bBM2-I*D6{lE`7o{h?ZB(v<MfHT&X9@_vRZ#b
zW|k4>MS1z1f!zg5%<ymIDQQU%C4Ttup+pEUEw7=;z|gj^6G0_^H&!Yu>vM1pa5aUL
zC_v9*7*`l&uSEY<liqMiaatr><li+QPPvahuhU$$%0h5oo+5PKdG{DJoGK@ym;|S{
zwti?xKRaN&-M(<WKmTRTTFtuK>FAJr>$tz$_XBB$MC<^smd`ZW+N4nrT2vBhU`2&_
zc($@u5Nh41ZP^<(my9>yhLPZaf-O2fFBWrFweI|UHb@?q)PFe%cR(#sD*T874bj`L
zP*5Pk$0v1;L>&u^f5k4s_0F)r>I;U=&Dt88zCn|lh*+gu!oj_rf(qiijd}Hm@56Sw
zB~i->HJhgcH|A_74fPGzvCx%QsgXxd9X-oSN;Xroz5_FERo&`Q%<1THoQ;qwR|?l}
zzCJe=6H3qsyKqQ$mVielT3kCkICw$7#W?P8P{vL$=;qa@_3rViq+uP6%pkyVIo{@5
zmW_jqhh63Fu}^ARoP0KLE~lJ}qmqyQYybKjjQyS>X`y(QeI&ovKjc2Qy7#uvVzzCF
zR-L5%3+Hpwk90CU6HdK3W`qyYah$3RWhN=zRUP`X#XM;zO&rw^my@Dq4|}fl-}gbz
zburlZF}c?UX0xqmuv_KvC$a$DuSAA_wb%X;#eL+U@iA+J&E#9PjXR=~k-kDRjZXe)
zyjrXzzzt=1dq#^STLsdlki-TIlvOwR*O_=hNlw1(hAhBG-bawo7~>%5g+FCyrZ;>v
z<WB6d_lkmvSE<r`yO^aOu}xe#uIgWiCil=Z`XN#*gwim+B%W@D*3Bjg(W>9nG?V8K
zgAM7KvI@4K@IE$n1tAq~S4q`*7HR^mE@ZUj1L=WX%%^8ej1gJjrN;i?usygM{?nz-
zkAbXFCoRP!Tu4O3OClo{73bFe@9AKP%*=wtjh|2MR;5^2VB#!W1=vVc3knJzP-3@>
zYeR`MWKW9iE_+S4Fa{<L;~y*rMke+5Rufk8wTi>3X-Q}E3yB+Ywx_snpgP#_^yLwM
z8`kyYZVZO#j1dw+QU3fj5yp)_e|}isk&b-T3sp2y8Mee82nP24Tkxu%F)Sm#Mj<h=
zn@Dsku*lG5?Vx)fKWFDy>`fs=UJRZ8o^k<HTHczQyYWriY1a@TNMr!q43qc+c3I59
z&jeGV7jYOa`)zPn#bgr`<+GpD=^N_QOgeqgI&_SvE#C2wN=r+E3@Z1f&G3o<Qp|+a
zF8KbQba#D=?vM((cXm8lr{e-QCLyT|@R>l~J144;I}9;PrCkX%cMB3XzJ|z1y+}(m
zt-oa`f~s4EkrC>kH0q1a{9qX%_sXsJp3;lvH%3Txvqli`ioGtir=Ub&qKh`@=o>=m
z;IcIO|8FD3ujmX!>4f0N5Sp49RQS-A?CVoxkR~NtxMjLty}rH<U+E*^U(quxVC&*S
zLP+*jORZ+%ArV3&WaU~$S`v)VgIv~#HTZfSTw&x}bD(rtRHnPsFw97BGVv^5l(D0~
z&1l*C!viWm7R;w7Cx&)-Vvreby&t!s6|jggIGu9>kmJo)h*$++^p9-O<;^S?BYb(z
zf|J~`b9H@UBp-^YlWw`g)t=tj8^KrlHoO9VkO($@^;&0#^0OuG6M&TCf{CPri6cBo
zmPag+!I?5d1_Sn|ep%f04GlBvZXjb_s^c>uP6*Tz(mw>EyncY9^Z)nG{%ax^HE;2$
zoi;QwGHS*8CK~IS#KrJyq@PpRCh-5U0QjYL^BB@?{Py;5yUe(Z8d4RQA=P{!FQW=`
z@F0kwxC<06_X()+(vihV&}W4b+bv~Az)l4dI3plz(Is9$&>}1>nHSfL>^$-5B%l^p
z`BtkYeM^dgkfcAp#%b*!?Rj`aRvYp3Ls{8|o1w*PTwEoX=!Ey@71V!n`<O$05N5Y$
zs+}#twk^pnbSZgfHfeF|>l-R&s}11H^(^f`H#;PobO2B(Vy@h2JY4uUBdU8X>P;t=
z>PJ=v$o0xQRxP6VZ%Sec^R-Ox)<N}1DK{t_K~R|-)3}~^iqh_it;D*tW-~Nu-9Y4W
zM?YXt#7qov5Ahu>UgD$I;it-@o6vY3u&p`B5(2<&+qN0CHDeY;JaiIu`^Pk>Izgxu
zA9hZ+{d9x(Iy>XS+}vE;De!NZm5obff<z373^-S!mumTYL#-oX1JEmlbvXFbIr&@a
zY3D2SW(cn|G~uW^Mx6fmp;4rD`e=CJ?GeJ5TsB_=WLTweW)B}Q#C$y5Y<$dgTPii<
z;_DesD^F-x7~0$@(w*~;Wgcg^SvQ~BTf<&+%4x&0#UGTmb7Jv7x3g-9DcD~<UeMGm
z(qP~AomfABk`J`1a0sO1c~yiLBl`@}D52Q1i+dez{4c40{h!(o!z<FNZC|)7>OLTc
zBsi+F*q#(=rQY?^0;2)Z#iq>N`)}Uu2i(GB7xFT(U7fd^K9K2rg~x>#vK+EAI@BG7
zuOpZOJQ)u+EOfP~m(yQblvP6-btFYirGg9@x?xTpT4CFXg^VnP!8U+D@{ma76?lEW
zLyxzT!S@RfK_5><xTr0@o?PYD#1k2YPj`S+w__!|Pd{qw50k@VHr{d6?Ad7a;RJ;B
z1P=(gI7<vo3&Cq7|Mr}L^Vc#Y-$`82cu~ZMEoY#s^W?sCE03XLJoG>boZ|jjwdwg9
zJ5sVak3E2zy>t5%74qWrDcfH7v&o9J8a2qJfresU!<Nmw{7F68bZ~ssdD^+IJ7SqF
z#l41F7A;z~UMg$-Wk~iLsZ0l^fJC*5$#tb%VoWsT6i+0)kbJh`v*s{QAnyGuH~AYu
zAngR_S1q4<g*?}4BJM?qkY%8xxqBLK4m)QtjmLpkeAlnNJ)qmn*I3_uvoFiN^I+cd
z(mHc~Bn}GEU`UxMKU7BqOLxW)ln$?uylRJx9DaB-+4$c@yW?=<Q%1YUj4m@McxBXM
zqc(C~1`XBmbq^yzN2mx38)C`O>O0E=8q?VsxPgN5tx$0VWVwq3m4nZMO~NV2uqVQd
z$eqTho&^MTIs80`+3@#{>qQrec0PK)Rx@I~|ET#45^3fH3K|;UY6)94d5@ERVcMGC
z<B**JocG@RpRF)e;m0Y~QpmSC(3}JMr%rx!Xxev7!#Qo`sdLlJFnZ$nV5Z&SeQX8p
zf94d~J~@tga<qtGbVzm{XA>b@Y7L}aUJ&1$y3T9+)Tepn$^=S--k$7V04KU|W_y#J
zMYfPr4Q+03cu}ut6wWe)eq{38uZiX^xO|enlZKSVh}m0P%MU|Y>{As&=JeZhLPE{?
zl_Jc@W%k1smZ$wf_r$4%PaFK9K&qE9yUn<A#2Al*2<^6?F|6Kh{sEm_pixsgzaw_j
zU*}Db5ZfbdatPJZe_uC=1l8^8r2H7k+F>Ud{dIdQG0XfYw=q{0)sgz*=i*bQh%t#O
zF%glI$WXV4EP!#?*xMUj1TZYHWcWJfOCm!UNvbTv9`0Z<F(TSbae@irq}z!99(Fjd
z5b)x>u#}Xztos-WxB*b(TP+OJMwbfPJYmVOdtz#{;W2*vvW3S7CgI_5w_aUSTE=X-
zAw5P`>oym<lQ7Wmb7~4RfF6Lxk;~tD78U0n?W5gWdU!XOw0~}JG4v<!G#3qQ3I#qB
z%A}KHP<`|VE6d_ahL7J^#kxhAXF<uF9H<;ZKgKF`t1g}Qvr7oCTQ|wMhtc%V>!)gW
z?%3tk#r{ZM->@q?Jw8thyOFyz@7B5LHF&lz3RM$;GA!CfWZ~Yp(bwA>86E9+{;4eU
zo@lJ-^qfaUBg{nY{ajixKRTTiwrxa}bixMlE)OR#YYHkR?Bh;#8CRc6b5<t4D9)!k
ziSydbwGvEGlV>5=NJv43e|LIdFtRAWe_miOMk&zITutfzQPR!%@gl-ui}gOv;ED_8
z!n~XN75lMmX|a#%x1SUuovPE)Xw;Xi)K|P>o?j6%Jq|A50T-quY$!1!s7;bRwg$xp
zO7>aXukOhPXmyPx1d>?yf{VEWN{=Vq7ke)(XVo=FP<qQXNKe2jP&WqfKBDx2<w;ZG
z02cR%4hmBTAN+J)mE-G?R46U28QFjR*IZnD{IEm&sZY~p2E<NW)`Y>=)|lSsM(sYo
zb?a8xt1i(rB^1Jm-p&}tFQJD`eIObQ6%8*YuNVfYRH99xXcKZ{j6IicHDM+5scSV{
zEw3}b+)C*V?dH!Bad%yPPtkz%3?~oX`8c(8e$&NKw1%u*n2v^qRH}EjA>}&>cf49w
z0gt*mL>>6DwQ2FiYmjcGDX}E>K)&VTm2SaI)G0DE-tcHeEPdE7`Fu;75yE<n{s_6E
zkymXW?C;NW+UH+09k&_%!ij*CFtYUZc3W$>j+(ZR={8pGg)}N3oD8{4`8QunGdive
z-8LOw-uD_=4-t9?&G{U2NWAEJ$)VNn>pSh3%FgwtaVQYl<$OuhG&Cc$eNr(>g)~>f
zF+0vd8sLu(@WdZNAH6A~N{Hb)c8`3=&ef4^T_z?|<GiV%BWQboCv6@*^!rqu>(Bb~
zNUHu24|pXLxs8;Vh$_yjR5Ezq4j`{wxnh)c*N`~@WJgD=9c4rvE%fxGxw0d(mS3OF
zL#o(F9@?<U%~^s;C@<arE^}u*sjJm_A8@E8z7C!yD_j^Br;L7c&Ey|lZrc{XC7zm{
zy~v^qLxt+E{x$t?K&1v+P`5!y1zI<)&J%{vbbz&m-rRyl7ONV`ZKx>_y$q_?WoSc<
zcza07@*A5|^#Oc$WX#RK+eUHfV&cb-AI)=Li7VTMEg`&3-32SDl&kwNWQ0gVBzA`o
zgf=W*Y??9e3H!=IJBQW@8v!3HD8Rdck|+tPT}MvRalDD)#ZIliw^<Kjc~veeARYmz
zhx@L8KiK$Ii4-YKn(9#n4$`F_C??+}S(;M~DJTFq8{~y^Y(d3qP^m)j_@CMh&1K%}
zc-KK8wwihv(I|}CR;-7YF5|8&4pal-R?*rAVMK1~_bfR9%8dK2(E2^bI3Y)Wa)fnx
z^5$vmf$`VBRbB?}42$zm2G=~xpZw=nl)v42tJ5_6Sstg~bp$yTRcm?4WQBo&-n~!-
z2oni9j?24^vo+W~(=8|6sKcMUg_tqgN1*2miOis;o7tnuzgGrH5N_Qw-UIK~PS|>;
zGahSd_E+cZ5cdqC-BTw=o;f5oAQw`h`Vtt3HhcJiRZVlh?U`7blCrWg<f`C-!%iSP
zD_iSd9Y(nhvYY?nI$X9T;5$j&=zM>j^QUo0K$E_2k)Ly+r+7rx_V)H}o~10zr09lV
zQQI`fP4Wk4YVB`i&77?s9UVb*saLt_l^L0iTQHoH!!h-xu!<+e*$-G+wLZPE%ki#H
zf2}rL4&1NoZx%c)a;zlWEvq!x`})E&{QN3c#JJF}ARd@gJWi_>A;p(!q$f9p>NFaY
z>(UWM^y|#eiT^#cj1)ht9dh+GGs8q=K~f^4nzxY#+u{A<@|M}l7HRE@;S)<ljs<Rp
z6~5bH*wonc=NmoG8?mmJp4~?hNd=qW$l^@MX)bwT%90-i=2!u=W2|@qk|p9t+$2Qr
zTIe&KAFCJpIvhVbt%TsDXUWh@69n!YQ%n3jJRx5pla51lyvyWMUu@iZ(*;rdkx6s=
zAh6s*qu9g>D?qsUubBsSEZ@l2%(`@^J+g^;6#8!lZ7&g&<iAk`pvqv^uJcTZh0h%3
z6NM#@cwZk)ccn%1nc~HJojYdlOkp$%+CSte7?6-DQk;@5!nsb)iHeR+x0UWAr=p{q
z9Urd-B^-#7T-_{)5CV!+)YM}7JpT7#=wC#nn>?k__pU8_W^BNFwn*Nai61)0uaw|H
z4hIu~Rj97q_gN`aq;L<&zR0r(1N?>rJs1&+HO1a7`Pw%v^-VpT0>v4>sEAh;0^TrV
z0K^t+i#f6*CmX?~YZneks_J7JawXbMLhmh-x91BUXgWQ+M8d#S^yGR+jEoS{QTQZD
zdb7fI%=*q`#p1fJ;xL4+)%t$>2i~aLqZjdSyYA`N_kJ~{nWVi>+n$(q-0&%jHOJ~p
zdPFpu+{HItixh$#X+FoQ-QzWCr5x67tSNhc%2pnTV+eR5R7yB2q`eDzx{$JSauz*m
zd&Fp|u!QQcj#w)yD5z9=!b@(l{0oQBPE9;rcC^?ToifvnMqPljq*g+Ey6&Z^x3P4L
zvIo1j4!Nl_oP-i5e}=Z^=z6PUGPmpJg*+Yo6&OCBMqv2GP{+`AU+V7b?fW665Y#-k
zO67G!ar6DvgC??6^oPr;AJzMUg5tGhYtHW~_%W$V;>3)0w+BAi>VYZ<a`$_kszFj`
z<n@;Uyx7rrG|sriP(io+6BuTq^J%1Jx_I-{v1boT_;5F9yk`$9D=I|N`sbCO0B~Yy
zN7(nRJ3b>w+4`TfTen_4e?&`77Jh?;m3f~YXLbK1#JUHtrNMQy|2!)OxoL=$iI2CP
z?KumN>XjwORP0Q2{9RL<V(8z@*5c#iQ-wCW+kcBLtRO=eNA|HrsBtA`l%CJ5xPW%=
z<}1A>@;r2c_nn<n)v_OWB_z1A>wq>8Vj`S2da0LrPB|Pl8>>*nMhcK_PA_^I5@7l<
z;XmBu?a&!}1>q^E)BH0f5B@z4KV%ueX<oJaYNWRE{oH#}7`?-O&fM{9-$wA1U41<L
z6|WXo;^XXi+ey+!bi`$m$kHX(8MF+1&(o{0Zd1t%=Ak2+v_FYL|Md2zoHQztoFp@l
z6d_+Kb~@-nx=WsH?Lf&nTTQr8d9NP_V9_s@e;wdtN&_?5hrUZ7)FIlxhl=!Ym}m{d
z&-A3R21RsR2dMCCL{5IrIHX)CUdgTVu(U)rRJCJ^=&VXeSW7#7?587HH_($`3H`Dt
z6J|szXS0_D*~A*%PUWYdn%7@o4n!nPC`%CcR!SeVYl$x!>49n$l6S}L#^N<lfCX<-
z7}|xhu$Y%+%N=YW73AZC6^8(a7dix1$w>;b!vfI$5sD_pysvNl*WyaSRfd{rt~?_7
zgE;j_-aqz|dH&3_d%}J$EzfUz#l2P&iFQ6gV%ci}#!Tyz2{{x3(CHBv0pP2>>Lny3
z{63l+kjMbNLA{~9qbDgLA-N?^6BsqmXU|wO1{%NXb>1BtNl<54P~Ekh<Ojoq<Ei&Q
z-_4J^_-Nd7s-w`bq;t64^s+zFkdF|8x(Fu6Jt4MoJ+k<))Uw=Pz7JRlXm5vQ2(vAX
z_h;j`@^Jlje_(RT7|vv>pna_D=QgGSM#{_UWJ|QTsOWrobO4=U(vHNam*VmA+331x
zc%BuUZIScZl$?C4<V-#TlR%G!>oRSxGyD1#48J1j!+%<rQ+E<dIrIZ5G+;+3FWBI!
z;rx5ftT;9J*6|7h^W9k2=13KEX9b77&t64p`E_v{=Hz7MWx0Jtvy%H?aRY_i=WuV;
z2sPG^+nhASKm`SAkWSS$x|ZK-{9&`9CXfo<FdW+dB*M+a<3m2)#JpdmwYIq#!)+%(
zS#QWqqT?>rcK+&i*826p&!4|OCGUWO@5*c%uOL*0ubT)pejRfAU`T(^D2`3>xJ;nf
zYU22gkk3^ROfxmT6_NG-m=wq=K$yPzz!5T+9om0wf_Ak}BQ}$U!~W=tH@-{z5M*9A
zaJDt2rR#@+7gWJ_3l3O@u1s|0-bP9h6S;;|?*!A&s!$+ON4_l5I1TK=UBhBz%=3|K
z_XSKkDV+oTQ$Pc^-D*E8t)TKfX<vO<<44d0Ks9)V=))@eS+u(ZY-!%<$kV^qNn4@A
zJ9}8d4=vmH@~<k7`jff?(Q3DywV9cj4F`S;GKxem3Mr9?Mr7%{ebZ$YUFUkqeWRxX
zdFgzp8jgmCSV_7Z8{xJL2M($(Wcj~l(u;6lpwWC6R@ymu+VC}O$<5U}Q->Skvijd4
zR>>C0%vJ0^nLpNj$X%1`{~@0}wN2|aKZrB)qpH{e1(yesQcOaCUtBDPO!_gwfsw;R
zbm&N#Uhnzj=zH|Z?A?|7^uaiowD{l9?mddc#J(R8zTHu^c^Y}2K04ZGvN7czVoPjO
zrgj|WzknypjBiCqsg6Wb(;4M}X8hkd_4~|18PDC|aI2xFpa7^>ubi%iS5;R-&1J}`
z)sTL1lj-%c%#h|WRDK*2+bZ*%Vd^CIdi15sA`4%uk-||pdH;%73F-Yg0lIE1sUrT+
zE1a3ocU`<0EkM_~g;SW+lD7BJZMs`$;>6A9iG8gqJprL`P;jxCg6qcW4+ztfIH4Ej
zkxqs)zASU)KCCs`H3}}yqUD-&rCg($d7~-!xs_~mdcwt?g(?z4!uhsmbO=-f2DAAw
z$tu9ST}1xN#%+ytrmYn85r-Gj)vew?PE&b05W{#C-lt5JDVvkz8Um2qK>&RHA+)Bv
zcFht&An$^)f*D68&mdhp9nB3mPbov1ORLBg%NhY}7cAMC7y*odua1((xD&cw_n7~z
zH#E>g+(PF-n0+5+&|p3)9~>O?hy+wvOmZoPB?2LNR~$xRK<f$K2uP*5O5CQFk8W0z
zb*a4HJWWT|yYSZKSVi*gugo{LP$19fDPyQwK3#j&Hn?9^oHF+WU^r@awzj%&HMtTY
z#kpP-=KS}>5(a(kXgAOa*08d2cS4p(QGJt9fugZBUq7Uul(t(<#hMg>Y$~s!W<<4u
zlxe*R*gwFYUHbY|(#v1;=^b^#m0x`)yyqn2ZF;o}b_j;wCQ9|kLSXWh_pJg847*VC
z0241vPyjRHnCs%i=1~Y7UHB(S0rY$3NIB*gU+<fGp2YOaGB*6q#_-V8R2<eIwac4|
ziDvF#aS7pnE1!+$cC?7M%VuCD6o`b7gYC8{^voZqGc>zXt=FcwzTpok1FP&KAt@$y
z=5!Ukcn#D{$ze?7jA%uCpv+b@-UC|g$8jz`4A8$%fe>qKZROhJPb<68+DS!GA|eFm
z1FDtX9k#OAzNQbBYN+rj>3=uvX)?2E<i0{1@sk?<PE4^fEeCEE)QL~x!Cg#p2sNR8
z$pojKD-rTM6j*Dv=vv!3ug$f8bxf#C4H_)B^7QLoIp`HT)CPY9Ef1*QAEfe#eJ!!G
z7JJU_tep$7M{~1UzRP**N`_BOTS#NILF+lDcidy$pkp((jOi8ZXl_K4%5l*o$C%{1
zA^iO&(HqjxbA%KJN@qd9j5k-^HNLv<g_sLvA$3G}5W-&hiKk%)0A8eg>`6&^CFMag
zRx#bo^i-{w20Pi8)Y7q}W7MQf+P@s@y0qqqi^vUIyjqIoO)*C$r=Q)CrPaCR`)}2*
zK{Lhk#(&*+6h*1ug_r<1Dj0Ngn2D~AxmH$IBJF2wX_8-bkTbcMLu8Hs7#ERcdLyR6
z7}~p*xwfR;<Q6)ET~3%U>KhS8=2+1xZMswEj#yV0iwdedDi`r%sw2P%WXCXAf(YD^
zvZZ-{8?*LtkZ<&2f8^Uqamh$Vb#?x$^^LK=5euqc0_eKLS@d<DRCnmW0F3$byV6rX
ze?BXJ@~Vg9esE?ipoJE%nL2ByLB7bJag{q5qI+NYh}OU0;DSv6Y#A~1N2GHUm#W;2
z&9<*kAyp2Eiqe^6FZ0Y-fFKp>kMb^0nfs*U(u8{-eJ!afA@rVNwt8n}2^9B$eR-{B
z`=G=s88|m}I2&AURSsW&VeITYT(RCtx?(~;W2kFi-Ezac4m*U`U=f#|U}t#gjg26P
zy_`60zUwlB#)IVFKXzqgw8GhJy(*q(1oKwhiE0u)N1q3uA)5X-s74;jD<JS%J{yF4
z+}z#aun^GWNU>pA{@Gc+cV^r!&<9|3CS$x8?}35lPX$rF#@h$g-?CVtm_jAnvsNxO
z(T(IYByS_T{<2<$KFfA8SK&e4*cy1-(e*d7n<^p!*X17Q>Ko3dLXMiT&Q+Pk3QK?C
zzTN-Qa{R+{pIL3qJ0#yI#z-h6#?k2`88I;fw7V)$mB8qKSE3!9b6Xo`$<AjgEz#>&
zIy=YpnNy$$D^B#bq@)D8SL|E?%&IT%IsGm$#YX}xq^+&3T4`%X%pTMhVQB0QniakV
zT3}1fTW%@!b$rIFh}6=;Y@K9)5nrIqQV8B@C@tL{vR#j8has*q0WO8|HOce_yF9T(
z6}UVZacNw^RqmUx6)^u|7#tUSQMP3+wq!SY2oWJj;2Ax!s*NLS@B5vEezbH_oVi_M
zuvY7HytDl$^s?qZv@bLEN(e)9Uc7T=%Id3ky7a-DxCXU!8m`<JOt7tZxVWjmTN$68
z-OJnv9!&6Fi00PlhpCWU6;=)QH|qZW17wnaKMTx=3&QX?r-5)4He`n!OZ?t_(Jj33
z;W&|j-4vF+-^<PTj=f|@QPsu&O^3C}F%h8{?*&tm?3i(0RN;F{WW=0i)4)hJjByoA
zC{o)<SvQ(edrV9OW$--IzWW180nSgD7-1>}@Wq@Hg+t8`NmnwBVm59EHP9n9lj}df
z9`Z2f|D`(cOeSK0cv9+jz~)CSHNaP2sU0^V7o@xai6MJ{G@~jjiPE2je&LLF@9woh
zky#GVzdwtezLQ7*{^CzM5~kni2K+Z3ei`?k!WuXT$>zBJn1eVd`&7?6%8-P5)qo|S
zTufJuboS78QX;)%1E^ivwyULa7{_;SNk$@s5EaywGpo-mc045Oh8+y<Mr7SHc2Se9
zU4Qkl*rj&5?8cnpFv$M0TcQe}${H<e?0|xUN`{XF9a5h>Il0SB2&vXx|J!fyAzQ|v
z#t2_j8Kw9=2zc852SRY{2P$!B9(LSOC4q*h=CN4x7~VkCL;kjx;yVAii_mmB_Oper
zx`;GvKIjgUKXq{E(%9<J%Mv$6)rmdKhet&BT{OR(lVVR4=R|AOUSAFMTIwd%)Lh#?
z0n`#iAz_<zhY=i!J)PIlID3-Q(?L#n-A$Bs5)YAM^|oh8pX=}|)^&#Dz8q;W>iW*9
zdrSfidiJi~egrhWqL|Ak0Cl*NF+hhuw}|!afqP^bt<V)V`U&L+9zOLspTRe&D}}zQ
z9SvFdHD~mw?crEz5%hGQr{DEIEzWf6Bts8Gdq=6f>|<x~MJ>P002{ZJM<AWYRkJU|
z<e9G4RG^XOh#GS<x#aGN4=Ujn{+DnUK{uXJs=*z68!uL-nKm8Q>xpdVYjd^J&`A31
z@HLPENlkI`5}WQjak)w2L+_P4W~U6SrcLAt)m;4gg9LpRppOcztbXokSD*3g!P37X
zlaiqWI{iEx;qX)*VhX4cL#eG{^D&#NfxjJ16@bB)A9_6XuHcDBeBVV^QNk%&MBfa`
z_xQi|zB`=iIP6=|l0s&(lD$W=R~;)NvUhf7w#;bQgseEoCZp^<8b-2{c_^|SvdMby
zpPuKrp67l4f3NGkuJ`;Ua{SJB-1p~RpHI-2d%I-amv41U7p`OE#A5Pn@A4&xB(~)|
zwp_qBTlVDt5;AqLVYS6CEgnVf)>+DJSPRP2tNT!sU2B1+&+aD>ReBbGhcxF!<F&a2
ztv3y<D|Y8`!e!L8`*Zj`ww#fH#|orgoc6C=W>1DELq^eyuOexGW=*iCA!=F}T2<4T
zydmVfH*;|0<A|Mq?bw=_^Qe-_xm9>NastI%(XNd5go|IWTP>`x{G~{)p0R@4gVZ@L
zPK>?q+vB{VdQ|yg`$gUH_Y!G6Qbq5?=MFYqzE7QzR~_q;8y~e*4EeJe<yWmX832Q_
zaB(tKSE(60V4AXk-RfJvCtEVkQ)vZHjch3)0bT9{)sbZSi98{V$l$h5o`w&@KRj@l
zZOTJ2@JUEuu<lCP>IZcXb&+ws`gH?tphhY-d;t-}{dNTgoB_=oUg(to_98if-*5|3
zxc+T8hSGcQ$-K;;<I%c}-MoT2|DTgC2_shgu^o*>^mym*Go99AJ=4dqqNK}yo2)2G
z`~an7|ISylz_;-0gQ6d`Kh?ES`RQ9uXTs?7@(NGArZ>Ow>P2C!`F2v>!BMs7<=7Xm
z;x44^7=Nmnn{auVa=~XVWkcd^rhL?2pGN$xI=d$#h3Ppt%s>&w#+JXqxIJm8Iht?A
zpQKTCw+j_1r}^qi!$`bzjLjx*KyY+(_}@`;n|Q_9a$P5Xg$tD;q$=tfjtXj;6~LJy
zB2rW5xOQ%`#Ln^fUOu}8<4DvGp{o5CLCt)NKmuQf@jKXcDoafu9V9t$V0-?>RPlzh
z-j-<ORs9U$^!UdM5F%c76)(U{ysdR^4ywrWX1~P%vxByIGhdj|pO-2+RxOkx1cBSl
z+>%%gzE(*3%ys@0;OB=S#}<?Gc&DT53bkzY^xm|X%x6ZP!fC#G@f0uyeCALib<vS|
zaV%i7n$AuBT`iX-11MYj`}<>hFZTy^EZjh&*v0z)irC&_6P#lW?N=1_VBn{U_^$kW
zFjnN&?97vi!eP6&2jo>eYI964UT|?oO()uH<fWLt!rm=Y{i9>QV%Nd!>$|J){+aHY
zw9bV0`|_&O8eFN%(76&!8QqoVamHV`#xS#>K(;5Ur>8=%$bNN7m|ILtKYr$8#+7I7
zXFi4&TxnZdxS&|T9z`AFa4WfD^)m3fsH^wqH=@JC!vm#FdIC&S%_h=0-?0-fcv=da
z7Y!IFJw*58dZU3;d<^>*X-wj4B{+L0E!7uTOsx3vpb?y?1l9;BXls;zyT*FnCitcy
zw-ryV)!VW82#84(t<R14z8<9RxUQ<zH1$VIV>xH^0`T?3o>_FSlbG|Ak)3uBY*GD7
zLf$V>V)REBoRFI+4TXCpW85vmk=*kSQ|CNW3Cmi^<zurMN(31h&y<DaHN-8THVxAl
z9xZw)lnnW&85jmD$Jq+YX+3+Dl*+F`x<ga^SQcH~%~yI=w&4#(1_vuSVp9Q4_>hj1
zrccLG4n-ya-~e$tgapDfb=6467S^K-cZZs_a{h^|=2c=dJ0HK|4)evj2WM5{RC1So
zk1;@OViW*<AUIQTK=G0rOU0t0v8*9rNIF75cO~zuicE`Xh3jk1dofus;&O%TYk25H
zNN{k{$JdL+dEBnIL<9r`#B2<62ePxW?qi<cu&86Jh_f3N`Ey$ET7FCXoin;3x<D)<
zX?TaeMvj-SH6ueTss4wJk_-8Z5aKl&PTQfc6`W2D3<3gW%}@hkCw|g>Erv<gB7F07
z+11Z3t-nXH?x6S>Nw(vwPZgt~s3jcvX#X1vTF`60_bqyvjW<adD0}>xq`)}GTd0wC
zS-Lo4Ra6xec&Q?w(F=wm#k6`&c!B;L6kzvm0U5?qnX@Nn`vaVg`>e00Q#I7|6ud%E
zN#>EKO)ryC-fM+P3Rl<69z<QeVmG8h;IL@)pis1BDWZ#)?gkgvJvGuF!fOg!v;{|R
zeONtIyyU!0O*2|dde0C%<Zkxy>R0;Ak;RL@K}y8+t%LJAT3hHAkJaki8>8+!iF3)W
zG~5QOw9u()H_V$l$D|m_sLjHF#o7DzO}SOa%q$Z+J{gavg}WW9a<jA1o8EY>fR#bN
zykT(6S`^JKA<^K`;|(7p7$$~K;m}9&wZ6P`?FRsV>zjC|PvH|2hh!usCJwJ$SR|gD
zc||d5j4ockLfqlJyx?kYVQxMQLdLP5R(Co}zirfiF$HamQ5&1cX*>zXnG_oZw{zDR
zJalzqj6m{S_Bsf7(?9;^@Y}GF<j1cuf<T#{n_j-FsZ0(ZbmStaAaH~$!dO#_afrg3
z06MA#*R#)L6k|MrZEb6fzmu!enV#rAsVu21<11i}leuuR>X&rm4Y?DBmf|dQiSR%<
zon|TfOG*smBR(tb?v?)8*rab&b%!Y(r<c}8w^VY_XJmewUvF7FuXu_trI;1pOqmD|
zn=V)pz>)#Grx=bMKQ8KS-MbT-Q9ym;S^GumWL}4?%ELMi%)DsoTx?8?s8ohQ$<R*U
znw{@;N&?U=1tNaAyC^kfMa2;6VQ4Pl6{bhnWp;rb251;bW%quySIq`On*qp9KYxw~
zlrL|W#=bONtihbk;jido_xfSO$kpT1lh|cR4l)yV3R%M<4@0bsB-)%H=MM3-at_=R
zP0bxz&O!d>q^?=m*KdqzuiK_YKy@$`_e*KPOGZtmE5iM2a2JQC*EYWh0gDh0?wOP2
zIhD|<2^Y9{*)l{DI=*ErWA68r-g8U(jW5E&A|LjvPKD?>JeJMu_X525!7J#t$TO&d
zirM#psXddByr<Tdk;T%=(wWZwA*3*Gjbxh5n-h*r0ge>vgxFY;%R!Kxm6JQ$=G2gQ
z%HeUWMNLMADVRr(``dWg3RI_}=iKR7lX%@xNQo*64W~@F>pHSL18B}ppoE|K>OeJ`
zrFUBI?cFQ7r_C>EP>*qFT!2d3boB!-J2|<RJsu8<8<z)pVg}^BLP+Ht8W#Bpvt88H
z)x9Kf9r=^gA3Vt4P6@s7!h9oEFpvMmX$F@h#i?*+GgmvdP*X>mJ-=CNJG<8wBNQ>1
z022Q5&n>e1SjcEOliD{rIyw@c!;`d}Le?o|MNePfLYKKNsxfN9-((}Ui>2Z&uybm#
z{E}6pmh`DER-fDQ;wWe`j_<*zGy_I2v?K9qEi`Y*5baLakF#r+lk#U!Ye}QrgCxN8
zc*|$rc|L{(|8sLz$2)?NBj7zlXKBxzKyugNq!3~vgAfy`;sK=dx4E*O-|7=1CeGLL
zmsNUL%Co0|>&ei+v;_%0+9;M0bYZr+5G4UL`BFp~u`s~Bcq|N3_BQmIYNXKNQ=wOJ
zbF25xug8geF|XZSh+_(gh+o{kj`*DaIEw>7+KNIM?8`Ssr>p<gsfOzY;z8MCRUT*B
zoGx6rfY}W_CE7;$K+_b3O=E5j4pwn<JOh>NM<+fzWu@G0R+(G_o3casFg3W=+0`Hg
z7~D=s?DgX<S`+)MU4^OPZH9;Lq4Wx*(9MDBV%O{2`4~Q$!iH1cBx(l2!-a0s55I4c
zYg9KfCYPW)xy>$fP!`%|!AKg65MB(s8w}W`HJJEXTAFQzUJ$|6K(0;qI$s~Zl}N|X
zJ4T9{s=>b^M2%P;pMCaruH!tw6crL34It;rty^^uue<d9@yFX9nlKd+v9}35Yc>^^
zHFo~0C@F=JH&mU?nl5UYE_(YW{(dY^{gQMD%s6{(&P#i|r(g}8TJr>rTyfec&Z^k3
zVi%yIfOM-TcL&4b?rJ>a<8a;0dQ3YYg?p;1t5|NJStFqQcJg^5r>mEj?eY!Sr5cm<
zA_}^CTuZ5@bjzYo*FHRWzP!8~uwoX4_e`d0j7#xK&&JtjAaljrs-al~&EcHvkJew}
z_7m<O<340!ec?{Snk4KFrzLXIk(*Rj#P7fp%J!SzYCsE5RaGkc67ij&%NF54%-C=a
z3gnu>o^q(=ln+mml9JZ;ci@qF$xj1MXD}|*w8hrBeiCZz;)f`RMRi&8TUuFNBY1hV
zAjeBd@ZxqjUxU#kN8JjOVnJac1das-D-t?)QPUePZlZ>8+33#$bYW%d>#LK~?4WtI
zP0Q&fOzlLKem4eW8_Cb(;fLKl9aE6U-lo9wnA(iQ|0cVTkoMU41X&<G0dz*z)QrHe
zw2!2wrmR}I4ksHM+c2X3{EXn_=?H<Q`geP@QHfAjGIJ+CWd6gxSl`@M<*owO>FKtp
zbI)27LPqSMv@evTjPbJ+rsn42!hBdwFU)HMx|`2@qepHZWPY~>eS+bx;M?{Y9{296
z2eZ~nt!0;%uD|<;E2HSN_c2=FC#71T;_%kibv07?aLT@|G)_deQ<yrkagiI&^uoz?
z|4dRgGJd?b2<&x>OG{u{FLi`w<z>Yf{q&3^3ts~&Ha9VcLYSR`zb{pIbKhT~dG^9r
zxo8ef_71vKrqGPL=rbQCY2FVB05d*Ne;oR0YMzmKufqw-)~W;3XP&iy&DK>*_EC48
z5{b(jVYy&AyR#4IaGMO_l|&&f0%u-XNl6JQ4`y6RP{o()3QFFpkEfn6=XdjM@IVPu
zLsB_TvtooIQUs@qPU~~JhEEo|heB;LF)>>xgJMiUK{%fb@E=W!$Vo_wtBzSt4iD!w
z5O?h!jDxp<6WAD*1~J>jv+Rji)UiTF)0aBD3FDy!1+fe`e8{cDam}f$bYE>zPvD_;
z>8}=I703V(T!)#6;Pe`Gz%~;uwW-!qsdIV>QeVD?>egSq{PJU;HXIg9^^fppXkS)C
zv;u~}JM`}ODK^%3p&9t%J711IS<;lSeg&;RPV&x<H0Q;Szj%o|u#GMZifT6y9Tj>i
z<U~BZtQbRj9*<ErB4k2v;+37?A4sQqt1>gxJY)K!r^6FE)m#2~^sKgT<`4zJJ5)Gd
zwADh$t>_N%o*na{s>xMHJG=1*8tSVTIw$=jh+<y9%6k6s?nAW@qmrJ^&ZRI?+))A9
z)P;yZm7l_L>}on%zSl?SV(zruS5O6J3%@2~(l6lmatAt`gm=l|p%5=1-FEvek*^fX
zczi)j;VVW(piZ`Vo<BGz8XQ@XryD<0n-iaMGnaLpYr=${lH8NK#f~@lcHl@}QMOdJ
zTqbY^!s@Bsj|VL_U8dH&{QP|2_vPd3Gw0uOpmgM=lq2lql+t>D>0M@tF@G^l*`{L}
z7?)*oKj!erWaPu*D~&IdVE@K?dtb%I4#fIEUpCG&+<!}jzWI2N+vCQoTT~G!bD|pZ
zrqN2WXU(Ltmf?c?+3yRPnTKPRqeX3`)f=t@QSsT+0S<I;=XUl(SRYS)JsoXzIhOTt
zVSdfllJp-F-I?c3H!hw1^y>N@ueCx+#TXw+<9l~DKKzZZwJc%e2#@|`+D?FnCC~g~
z!%G>V+12vCa9;N4-QkzB(J+<=SGd916{wD-4{jqAm%Z1~Ds7YlYt&}nZ~da`;R~?B
zw42DIz}{Kk#HTK!!c)B;*~s|#n+=itOjaE2yR8?$rFGWulG+6#qYKn^w8%6o=J&v^
zLFiaZqiuV2Idfxp=}h+{@@vWZm?M)gA?eUJ(QnG9mrT*kkQW{wH^3?d(W;YX!=Pq;
z?c0uPcJAI+^G7G`eamvcOpAGYdc6^N+d>jg8plT-^O{-l!_{5PBz5J89j09n){{5U
zME)u~e2`}<L^jkn!nn6}1T{77&mJxJ)qscfChYn4P29>ZwTqtdjV#tc6y2<Q>2|56
zM|YwDfXlpsN<|~h!B<&$AMf5*C)Lbe)!wq@IH;2+0${gGcf?{MbRnXvh^(SZmTYT_
zn~*0oHC<!%LJe*|05$n2T6>{K2l?xs;-#EHWUZcj9ntjbDQds(iFOxKQ07NC_*<Zr
zL_S>ixUYr8@!8slVi!>pNF>2JCzY3%yR^=dk(0Slhb>c5Jh2=MI~z?R%Lmy4Z`E5#
z${?LJ{X~-b@~VUm6&nww0E38#?!|5~y^kd{H-=&dM!Cp4;m+E76TV<%V90FW2(KAG
zn&u|to7!8A%r^_Kc~)xlJFq3aZTf>=5ynA{<UAfYfJ<LP`>aW2)p7?ODdNFThv@9=
zwsM(9cS&4u^VnaIX{x;j4#kEou=D?UR=X()UcS8(#NX=f?=oCCZJ}v_qBcA6F__-B
zcf7C2g2Y{4rhJ_NcO8cIa*#+Q(8s#h83Gl{;2?2ys+HbTnmcVD*7j;7MiN#Y3qvE<
zH!mag_G>Y+sZ`1O*D!vjS#u(CFft;$y}f_?E7&*iG!leAGp+j0$n>fdKr82rbA=}^
zd;WJL2Pv*TT1yCPeiEGEt)Glwl7PD$!e^*$^HQ3JFKl^%z2j(0=4-tI-z6b2`$}@<
z3M4(qX*su)LS3hl7Q6xk7KLSqysoHR419$~b9Ju6-;|?aapokY*Nl!}Xba93#`ft>
z&P<3U8<Kv3Cr?|Ipf=3QUYn*ISa_k}!m=4pY^JQg4cqv*^`q2tSSuFbfA%_gHB~_Q
z0MZNi!P}&9o`I!Oh3%p2e^L~GfAcCfQ8t3<TEZsD_ak-y2G2gbPITT=JQZ_JJYS_w
zh^T+T)v`=PRH*S5(*(y_*`SR@_*J(QG0)pZ(rTn3-@{Sw1{_@WRCV0aDH5Aq<T8m*
zknXQPgx3*p#}0v~=HLZ0U9g#4HXnRi5{a)~y^2vurGThoZe|8}e`{++Wr*BK<HAnW
zV0TWRjlPyPDW*FQ-hB)!Zl)4Dzpl8xBU9gDP9<>DkmoTFL>#}0H)eT!IhI#aN(i!0
zbBO-MXTcMPlUuU6378`_F>!ul&s>)ruLVjsXce@|kp4a1R>-ipyH`TZjS8h`5%B(s
zVGFA>GY!xAz%I+BIC4k{<SL(sJQ)}Y+=sI28mTuL(zVG%gg9pA*W_|_2^86*3#LUH
z+R+lCLU0<cUw^BuhlI4oNJxvLVhb%m0Ln}Be?5^D5O|>W8tk;=eSC$2!UFLd*zl?{
z`8i7qi!Gl|O)sab$H&J3j;Q{8qI={}isrK{8#&2j-JvH6*7&jD3RWGQy!IRL<H5Ek
zZ-16hQ<F(?O1Su1%^KDnNN1632}9dxL{HDm6G;w^cU3u)g5e*a;{w8krb!+I4}uuQ
zQrV|p=fO^z+}G56*3uiRypP<W6R`BOB^|E++qW%CTQ>eTDG4qI-C$!2adUm`;|*zt
zE=yYn2N*zzVGPNzhCbWN@{U~%Z9j#(?QXS^^0yLI!J?O+KzHf!cZG#^Ha4T)?=`eE
zb=5=|0_NaoSC*F((1>onj;Y!ZUqzZyttPh+7g&4l#0mPmD=M;wU-C`QVxpH_?+FpF
znoc&Q>2abK0)e^!ESw&k%}_~QVpw6E!#nXa$OJ}4jGUvesJD-f7F9z`Rvt*sW8Dc&
z2x0Zpt4`2Puo-QXyc(&oPCTjLEP$8P^!go>N4B<0Pd5?%aW9G!M<+~9a2DWL-0$s@
zmyELS21<NS15#)VkU%htlWO+x!cL{R?)IKfXvSk|;Qg<4>ZXRD5OAKHF(<GJu<Dq~
zo%?m#XHtoYdo~cG>);UiTA+2=9n^CEvN3^TD$dh@7ygy-Y*UHIrAczFXUS@3ad>7G
zUg&ise<P^Yp!hHd>KB)ulgVm|v=T71@!eV|?7JZsP9*D;E(-S;Cl~Kzt*F7|!a+9)
zuU(Q>EHm!E)j&er!&j$9Bn*vImud31gJvw7vi#_N3P_DaeC$4)Ty(Ad^(jc8_3Se8
zsihN;Xc#Bh5dun(%$OP`28ebyl%0d!ENi+3EQxpzq(@&BR{N-La<QwqNRxZcZh84i
zromiUUN`Ks^w7UI@V@hsz^TRn#*<ffY?(4xp#g?Hv~+Et<UnoilYCym;zbU4=bWsp
ze|vH9<ls)xnsEX<B_E$!4C6_f#l4bF%so7qvF4C^ORt7e5o-it;M0LiCtK5Uhv@nI
z=k?Lq?Z{izwqlbakxN05z%S`sGY+`cHvse?#<0w>`E<zD_!srz5a`KeIzbRu=^KQr
zF7|G|!gpO1U0hQ4Ys)K&Mhun+TucOMB!pMW%HO_yL*WC*{!{J~V8Lq*MAVCmHnHtb
zo+*p2y%Gs9vy|weR8mlwACLqoO`vC%I2Vfh@XLQ@_r@M*cy&|8SU_GQS5*uam)Cl;
ztpHK;p(KK)%&aWZ@T<}0#P>ua2Y!4Lu>7&6NdAFdN=Q(!qNFDP;Yn~wAEtTz#^+ah
zR(k<ETY*s4ckkPEgs;Kxg4U=c7T%~iJ>V*WTw6Gqm}J#npV-a|R}}$2ba;XJR8&-i
ztb*^TmoPO9HJ4_11%9yIwUD*Hpa5&n%*d!y^g|L0i_`q`DH8mf@S25Z=jO67GD0%3
zWC$e9>CZFAb}YDV-?=Q(G+9yra89EFt-LFvcs)a!zIO;_|8OX&Pk=jtAB0oV>Wv(r
z(1Mj)1&ZOU81_!*V|S2Npf`F*2w)axlMJgY*7z)T(X*BE!@SEXd@G&gWaHCI5|x=F
zr#DYekBYH(=S>H<n||2zsDl46MS|=#&O8Ton+SEJOKZ5o&82FR9&e%ZDTB?nHJfJ(
zyy3@dC%Gk@&9~*{H#7S@SE`BGw9sA65Wnd5h;?NQFp&R_YHx4vU2w(4$isT=J~gz0
zU+V?b)zj5g1ar_<%G|`*{|Y|Q@wEQwVld1?By{rWq$f{u@?u<EUDIn>+1XCiR=kwo
zECtN4ScFIZ>E)AC{Pc)EG~?4R%6TJr@6UY8|FqrUHsPLpNcbks6wb-Vfv=tlpR76Z
zP5OVoj(qw5|LcEWfv3E^G{U~1k!i!@zC6t5I8h&f{im%gU9JSf(yiAVsppNPn{MMw
zUWcyD2B3J*1D*J0cO<5Tb=3p=D(!LV@3r_|Fipto^QoMIMd_ViH(_ShePvt`1&)}F
z?NNFiuG2CIwT?CViXm!%G-em3w2h2XGgtw{?t{kqxmq3^M90j*UVps)$%a;;4qq?k
z)O?Or>XX@DL3GR+L9|}h+sh-k7#d1mNIikzdAj$hLwu!qF-UFasHREwHau-<HsQ7A
zadviwEaACI0UQa&&?%s5JXcGBgVA{KAhY4UUJ+#nQ4`?43JSQmlpQ!$r2i%2_1_of
zzn>!TM7}Gae2#S+GL%Q%O14kmKi%uwBfb${PykPYiy?lx(%IDoymeL~*5C8ga4{55
zSL$}B!Yb_lJjhYLI^T!`D@cAKAbD~unKu8e6^_$M42t|inpzr(t&kVdxsw}#eEInl
zIJt)W>S{zKx&CM1#hBPwSwzo;!r*ZWD7s~_-j%Pi!_;nplD&e83WSQ8auKzlx(ZO&
zfBP!EoTla==*l{SqFE~Fm3lR#^0|ZPormAWmwcbk5NHHb>`D;e(8!Q`JvAzWnU)X|
z7Mqf*W&nVu*R1`;K{j&|MAO5*Tyg3A8pi>8hXn;TP^W;FIS!6k3lSb3N1&#HbvzvP
ze!7bBKR)#TJCK&41iR5_(HS4PXhwO*pjrBbaNy)8oL*wcqHVr;ENsW0<WMsc-<2%1
z?*qz&nBieh(28FZZ-QSz#A*4qE?&Io*mMZ|_jF$KZ)<C7q462yX;WZ<zkK-;M$SbQ
z?13YVGOrr5>UvWFohTq7XEjo4f!1#2eOdi90DtXFQ_!jOJM1`{F+d#vsgX+1rRQN`
z$n2Zn+0X1OshOo>cq8WF;Q9+3^OIDT3>q=_O?!`1wLf|M_bw9OOOtHK#HVZ}qTs!M
z-S5{9FAnMxfw*)D6gmKD+IP-%qm@v8O-&H$tIw}_{wOh4MJdH|h7_kHBzXLKL2;#T
zw8D13vJOY$<wF9eQ@CVj`3M}J3V=_2DhYwJ5jX{fhw!2&BEoz4^)(ycR_?uIITVQO
zX*O*UrF-*+U*|SS|49Gx*QLifGB||2a}%D^ml&u7PV_0W{=kVwfou!RxS1_RQSt=_
zgRbKDC||t!%LHb@7b)|2gCBb0raXdEv{{6E?y~rL`wf)qYQv6P0=PcnXy|hCRx&kZ
zAcpLP-vYh#&clDZBt!7&+E3+YIJD`6pweXgWF{^^+T;ktK4!bZ8X;{HtdKiU(V(<{
z1yo`bWB%r*;b5Nq@1L&`>bf9Wn1IN7CEvonpfC!qft*4xlt(KX_$Udk0HbLj{pKC1
zQ?;NuI(7OiJAo<X1dbJzPwFX^5mh)oZ{EC_k15ixvb406O8_qnR>&MQV5E-Lq9*;1
zeKY$gH;95h$xN2`guNxRA;bBrp#5@9@qhmaKVQcsBxplgGU55BU-MF+I03h16Zi)?
zSy_kQKfL3*z89>PDM#G*!K@9$Xq2atVq&f^P>DF3uX@n@^k$)HH4OM4pAGC=N-4-Z
zZJ{7D8({!qpNMYvT$;b6!+13?!9l^?olgD!{q&(FCdI$&ojhjTzJC{TQ8%Bg|CWSW
z8_U&J!{`6w9pN-g{NC9IVy$&V<8gDoFZq_ejSxp+tLcXmX~%NVj-Owjnwo-@B<>rp
zaoMk}!jbqt-oyyP_F_<|=F+eHJu_oJQ7^*8l)dp6QEF^+TKZAsz56Q&${ZP?p`pOK
z*ij11T@;9T@nOI1Q`(k)7v>q|OQGg?jdc$k9I_=vl#IsJ7x@LEy}me<j1yi<MIeDj
z6pc&_er)xeLwopvwmd39eC;zy)6rImrY1<lL75b!LSnKYk^)`J?3|qK2Ti9`HbJ^r
z1ud%SjosM?1WSJ&tfgKDE}{5)&$X%fzyEQ=B7edSbHx(?OUJzKmN>LzZ>KuO_^=A&
zK9+MYnY&>VWU&#=zf0G)5u!0rMcthvKMT3KXqlyrJ=41fe*Vh7|4u%U{2y;h9MM1o
zvLP>k0RQbv1c4#1|4V4VYXr{QHx+YUO7KPylt_4QFOzX-QHy)Nj~!cWI`(VTfjUH!
zo2Lo-<!Tk!_=+JT{Ytx$*K7}<>0<lNc!jMt&#k`R-uIx6j!Y~k@moN_8t|ey|0O!f
z0}$9YZ1VGU#N0;F`5&y6KN^4%PnTsKNH8}ZtanD*95n%j8>N~5UZ=6wFYH$4z~ck>
z^qVvf(*Y~<?n25MY%9FrL?42J^U*Zjv9RyoO+<2hyxIvDBN#k5J}wR=$3};l!=1?{
z(783k2Z?)lO?pm8AdaQ$jUeFvpsGUssug%1ri_kQ7D($O)QI4fJ`qaQ|M_^)EVT^u
zajnvPZ}IS~c8jepqdgG0Bwxh&NgF?b^T=}V4GNTWK`RQhn^%WFm|<$&Kp#cF$^k9x
zG!@3v=!tO~y5uVK))!*&Smt|B>;>51yLN!gGz{dXfdhcj2pH#k_wIpCRgdKUGUS`U
zt6)Hpdv9yVc(sGeugSk72J-mzur@;Dk8z2MbUsW)fygOW)wsHW!8a!<&XxzHvhVhO
z$Erd%M5AXJJYz3MVnG2e28xC<GcyUsKP>M`!Ou5(q@-pG7!{+Wjvxd0CkRBT2NrJG
zkKS}!{63Elr3Xp^XKD(8WKkWo!>SM|e#7z6K0Ni;?r!D`Fd0V(_g%0xxDgT-mE|HW
zFhF&0OD9*;;GO}~V{l%5y$@_Orf~-CF;Vk(@!iJ8Mp$TQdCX(s6f_!?e1TrSlI=kb
zD)l{>2z|!}x0Uf4SYd3D(6FOQ)fynN-rV=+XmQewF9berqw%QU>{mhobB;sP;dUZ^
z2CE)tyZ{T82xg)Lc=7jo{EKB*eRDHI95VZMlP3@4ypi$N)N$vZ&8Hape>}BDse#p`
z&rncMMM2++$E0u77t=jBFcT3%{6GKm?;)6l;OUu*<OX2>Q5rfr)sF^p=9RF_GkUeI
zY-Y-10>&B|<<@-}P(p*w1=G*LVypE7GtQ3&Z@=v&Q5ENV)Sm^}dC>YbYYm5mt<IEe
zFNLk*G4@)>URYRw2_b-yt>IT;bM2tElYbTC_2|*U)R!<9XJ_asfU-`ChztJ3i(|e=
z#fEhbpvqidFAjHwm$J01j7247cggs;mSa_W04@|@hQL733&DHV!fQAD{+dJeL)Z;_
zTlbQnTow>7Y=GjKM9r7g9g^rS%dq04SFfaDmWM}u9X@p<P;VnVmHYw%s`+U^oyZ&;
z!sia|)m_61gcHL*%*S0UC~%l;^xa#Z0r&@~A%j(vIufuI5UkXLXf24p_?J%l?PKBL
zp<B>_my*G;2D3I0tEKYjpuMynuKT-^Mo|uqP7_{6CZ-5FDP$NGE`xoQGli5B97`JY
zQ#k3`kII%%n;;hMs*c5YOb!-cp3I^9X7s53z!dWQM>rR8!L5-r`+%M+(RSiXg=Hs`
zp??=t{i$3+rmOuAmyGT8rJyc4VwHwjX}UO<3bS|i_H{)N28b}zgWk9iqF|gjS7J~T
z!}nul1G!hRjmDaqa0y5thq~?FIt+8jX6zoBL57<>{znhI+kr1eEI&Rr_6|x!L<D2Y
zG}<LJsf+?~O-;?M-{kgkzTGJzeS#-|=bd)RkE7j%+_WowQGT15P~wg#KANIvqR#+W
zR^?q$P;htb(ebcZlq~+F&qkNK{25|s1M=OQN#G+4IWPxk+AtsOc$2CE9~+tGQ007g
zI=8;QK9i7`_{%|DYCj8PsMBvGLX1dB`5;$i@b)-Q<8DS+6;L}NQpV7R2U}1D#tb1O
zhB<47(I)@nXM~cw2sg8s$4dRqg!c}1%meBlAmVIcX=$_90WAZWX#@TJ{BTHp_qQQn
zMg*Ke<q_->Sn#(&wEW3kV(!a{0#=b3toHh865j5Xma{-;q6Hlc1_lS8NmLV+b4+-_
zehSI;Fwly*+W~Tg+!&ZJI=|hAZf+GoUBJb42v%sNW{#HY2X-7*13?M1vz9@h!0D<|
zi#TT$7q7sh_68pBgC_w^bH|<4+%O68OVHxz2L=^%rab}Zhgid#LyA|T#$x?<2dW$Z
zfC+D29ISxjWFtBlY_T{4fH^Ty2bc;C>_ul)HXY3HgyexQ9}A$H2E&QSY(3xGn3KmB
ziLCn_qm=5km=EZToPt8==1tfXp&p5y@jSIm&=I%nNu?3cx*=g){rKVCyI%!*#2@G&
zui+J(`6nEPbW#x!5s39`^xgMNH7+&ppfL7PgP|sU{e4hlM|Kl3S|P>b4XTjelNLMs
z_ZlALU2?(%{y@~R<Y&grE0zRJJ9NjpZEzR=_6rUf+(8A>^S0iy8z%B)yP}2YQuoaO
z62G32m6Zh&tcl!6Og37$aLuv4uX1Z`x(()2<%WzaY~tJ(z@tTxHbRu9mterHJ?D>0
z(=Z7j@pbT~*I}xJcSa}la96l>gL{MFhcSue+Q!s?W1!k6+gL5dIQahzI7ceGu*U_L
zhMTx6O$wrcQpmi51wgruSR_2shS=pggC1DC{B02i>dU!VSwwws;m3?5;3j4yFQtrO
zySuuWGTP|;#cRdaW4k&#ZLO`Xz0Kq~glmWH4z)$a=f&`C&n7!o+5>!+JzmrJclTRB
z-n02>Uwkm2dAGxOdD<tRt#8UDaO%8&8qBCzyIAnfvg-|*?<0sT^i-VfCp6)_X83*q
zqvy<(7;+1I)Vt!^(BL11x&xJ4ZM5FsY%1gu47{-wqYl3z5JKTIDMGcVkMcoH7_>9}
zXLQpSQ!ERCi#(n0>tG+rNjT9zu(aE?@bOmw<@v!`_1dM5oOY;P$T2>cqM)&t7S7f;
z0(Euhge%l7W9Hzn1=R$=1=IqT;oEU23yT?W&mcos&YK!639NczE7j8=mt76F4oH{A
z<8p44ErC<J^x}43LgUfjB_Jgl*eTm&vG||^;=S@Hcq_ZAkD$GtqGF{@I~c1~E9^&g
z?V5Ip(LK~f3horRd1G_I8I(^ju_p(L0Ld5Q%IV)6+qw@tOtNW5*&Uso14h=mYoiT%
z4<3-P?Jbw}oDRStHgx(zhONvHB#u38Xxo6L^*-q<kO68Qx+u~}I;qrPkhcQWbp*4=
zHkMGrnTEzM)J>o}uhjP6E=zk9Fb-(vWPQT8Yv&Pb4xmhBs}&;i)uocAi7Lm*zgtUm
zzMFlpI^sa~Z-sW#VyUaH^HXwgSP8&Am+G_Lkqm1IyMHt%bzEcBlM1yI2E9tVq_%0@
z52ms}PfH8{*?u5b^%!wVHiHH5=8k~d>{Z`7CXlDq85Dylqpv*})HY^fNbYi<iPNrZ
zSdu#4>xp4f%27_@2Ve&+1JI)euiR9x(33E-vXTBgL^itGf59EqO8S9DeL+#4F&tyX
zx<2g5Lh55iHX!}ekddAJA{a6$bvjbeQD|RI*Redf68{KW5dX@6<bvU-%2_$&K#$c{
z{t$XOVwXcglC1jX<|BwGZQ<-yz!Ph}LrAnOzP<*i07#Mp>YA}~g7T5neMaFlVwG6U
z)?vVcQgApFDjYWdY=Xkf+ryvTqDzGcBm|!b`)p9>j)fQ%eks4`Ho!dcFs4#T@hQ*-
zfWW1S`QDo>8mD7`rV@bLAX{6~bo4h%F%}-cWz4?na8bKS6e6XH;R+HGW@So<u+`N1
zV7m&iv-BWHRKDvE(2DP(9N2x>0!+uR^P@owFXKUhC3Uktt~e^Kzh50I`wc(Z-EE%)
z@|3;gNa^wH%g&j8mGXW|R9(h~vKiW7khxqCXvapwQdBAqMbkHaWG2&RXui{ufY4m;
zbH)szKG;l1r3Ie3s3J<T;$Bxl5uN$b)H*EX#$fHxr-4}3P>2!BK|O@A$e^Z_$Kk@+
zXCPHEBfJ9M^T*U6pjbLox#^eCBmpakM46Q0za<Ot5S<s__$FYu@buP&W5^$&A_X9`
z<^m1L6;*zIeHpS4HGELXty?Ot1JntM8WaR)EAIIsr^dJGnBgV)Z5TJzTll*h^1FHI
zD|57i{}e!v(T|AvX%6Njb*y7=RF%z`0)(BDdA?>2Po{c061l~ZV0r<eBDNQCY4`4R
z!I?jTbBM*%RmHZmICnsHX)eC)kEi(eieWZdCT8Z@xjAscO-pS<Y5iOrT7|4^Y&Bay
z^jVY>rBP5Nftb&A>h$V=L>z|VbPrns&j1khU?tUq{RgueqA*668XKF5)}sIo+@tL=
zN0Pn=suI~Wz7$+n=C|)lm0uCD>4pIm>d0=6ogM@mbQAr<2GI*$4t6OkA?>0QM<Xs`
zfK0&({Q{RH1%5o9w;r6~#Xq7MOcOUUAe&O&0Nx0Mc3mr4<dx13ZT&uP*pyvfzFFdb
zXbTt=g4^^sh-08P)+r@k)hM$Fe_<*E*dCT4P8rzQpYWB0Dd9s$20hquW&d(V{9uJn
zMv6O1UPCU2y?4#6S|%F2RrPAp5L?e%jg)#QagP5EHAx=)xx>KD%32Kp)qdH+RRK$D
zwo+ryUoVdA66W?Gzh(O%0WhUKi(sw_y5Ni-mf3l%)B>7~B#0}zgl-9IXlPj1<%mu4
zV;c11xeck#;~i~RHOa=`viAN?CfoNz(7K#!if?R4%;|7zh@=lr1ju<FtsWn#j$wM;
z4}Hw9JsBfghUOp0QY@OfpqGNQAkA0o8*BuLqF623Jj6B-+(q*6f8+jzMwf)frBR~j
z6@VwJbC-qDDn(m^@3fIH68i&06YU>-b~6Oscg{}x&TCXu^+r6zZmD0np;{|;?g-9x
zWD?KTo{z`4(>Y>b-oYN!4}1or2}tlBcC)S+$>P+_08$z<_HU@HG6h&EQP0#0sJG(b
zr<btUJO<Ug>egi=;FnKgt?1iWw>m|<F+uNbJ1)bi#ld$KPj(e!nIotK*>m(%R3f*h
z8g?eaxDzb);`JT+)@yeRq{?Fw6Z3qnK7g$Pe3onfVt#FsFijYGT3t+_;393z#=|qj
z0L^a@$U|dUC7>#Zd(GM+iJ|MwA5wuiD(KN;8t?hHK@ivj0_68UIsjo82!mt+L4u+s
zU?O91l91eh9A5;Irqr)2^zQLr%+H+wcm>F-2f~_fiG0weIO7bY>Pz5ofrXg#OZT)g
zgV$ys<bOw|w!C<%e+HhT^Z5e-lMqz|+=;&s&F69H8G)}DD%(jbfE+5|g-0cwU%!@9
zAd6@&r!Dr1^KU#D3pg9V$nMHVPzS*#bYeOWYHFihx<#NwnZf#Fa1iqKhjH3Q`9(!c
z8M<YbvN5$D`|;LBB|E^AAHf=GPl7Q7_yBD0lSc=0QmU!qBi1+L6B2CCjUqtX@Cgsf
zyh5)8kcpt}4<xA!ZNQs{DL&zlEU>b&f&%0++}EA`Lu~`67hRTPWmY|D#|Lwe&<dv#
zEWiw4R5Xvv*N2*p+@@P2Ad!L=u<8aM<_CF=*_oOA0$BW7h*J=33GF7)g`U2LA<!)@
z5Db;EhQ;gzBhiJ`32-r3urQdhiijxy>wPaq6-{8H?Dd<ft986*;be^&H2`)Bwg%t8
zHv`!RG)s?ujkATep0?%|i`3o)VlJKc^y=&IAuBW6ps1T*<h78ss;xN)nd~v_cBQIG
zI0hgMUz}=15PIOKU$n0hceKz^MMZ@oxp!#`Ee?CX2hG28Rj7T;s-HXxNn4L8fnR{>
z10<mftHWvUb_msv+FhfYeeVcSYK0{wj#Z=nM;mGGlkN6Zm`c+x_zcdX=)Ntn<BkHF
z@U#j0?98<XT3WXt4H@aj0J(?Sbv9qbP@iPMo=QURFm#kd%?!jUK8KJ%?)%Nb!9f64
z9l{c1#Q>2M>z2(TKJVSTSVlHJJ|_rxr1nR8{NS&8TuDm#Zs>s#eE9J>e9YC6vRqJd
z0rF83Ug-byfpENP!s{J5N9y<Rs{)rHDFxA*@1K@)&`t@BrCeP0qvel~L>{=@T1?dd
z>fys*fFL1Nl><HkdM>=hX(8f=5FCyIau2YLEe_*XoPIV3ATDiWWCWbE>exHT8$zLB
ze<1B>6Q0*^y@LgUOE_9Xh-S+JFL^i+&{;XqeZC&>yx1rc9|&gylokKej0+hxsFFjq
zXzFuF7zGcK83QGP<DJ)f%k=_>y-3d@Bn=?<K3HKpL{3hAOHgnGyA74;{0F(+;6!Kd
z*Ge9KhH<8(XZdT7xuKyHc{N|XthoH|%l~I9j(?6%*_Yrq1UlOwWndgdSrt_AZIi(N
E1-{_Q9RL6T
diff --git a/public/latent-spaces_files/figure-html/unnamed-chunk-1-2.png b/public/latent-spaces_files/figure-html/unnamed-chunk-1-2.png
index ac94b0d3b2fa1bec0b6dba3d37f961e02a117b71..0a44dd7057ca7d51396a8c0ca4e22c419bd64521 100644
GIT binary patch
literal 120187
zcmdqJXHe5y^fnsNgAFNy2+}-&(u>l&BE1SCy@)iC-g`ii-lRqh0TBZNhTb87(xfXL
zLhleDw9w1l;r!qG@y>nkyq|7n95c!Ot=(36*0WZKc&?#%>&Cqs5D4U!vXY!O1oF=l
z2;_3(H6rkd-xax7@ZWW3B?C7IgdvRZ?^4{tmK6kYAEGSxRL47QZNeZLIc#u#Y=fRl
zU;3P1I}wbzQb~z%v1cP9m0k{4V%L72q%?lNO7<P(Qbc%o(8nO9>&Ek(#`4!?DL!6{
zXkeaZU5XQ(Z;lPCm~g42BwJ6<%dZJFsokra@<BvR@K)C5OK5m_tdG5%>V4^ls+{yS
z9WD#>Q&+L$0ZW5GUO5RUm|VPr9IRa1ym%LViAeI|jYSZIjPRzB=6>U4!W(|#|D7Rr
z1OKd<nA7lbbB8Ml!x5i9-}4Y7NC~<eLver+4?H{Bnrn+=k~v$^4D=l+Cwv7V75_go
z_y2#TG~V;L)HwN=hQt@0J~USHL+#;Q&Bk{wg2F*4h$M?_`DwVhxxLfbm<!VruWCkU
zb7u7Rc6X0fNUg3C#?ZT8@qQxr4YO`q=e;#<z@WHtpMAL*y5%$F0uLR99>o6yx5Cgy
z>k&g3O)5wvd0#mJNKBK+Kc1j<;x8VRUe>g6)9bCPo2k)@V~`O3b>k8k8Kk}ju`M?=
zry+)}wC?gU8|IttKc}yraP;D*iO#!FC~}2q7yets!Jf4Yp_$qp9upclJF8+_=xvnV
zTb_4j)CL=P-xYV?ebs*m^8O`~+#^GIRAL+|F;B_E!?86;ZH~nDac^}hdA&kY@M&Rs
z?d0|}$BMgniq*rdTF<-}oW+O=D?EMW@e%gaxWELZo2*@n7bI+CllO}E8l^dnX}y2-
z6wc|PTYOJ&&T7kR7btX6P@N)T?%-F*O}_NKgpn=cK~ar1m)&5TQ&oW(ce(npe{FzZ
zvPx?9iYUt1{HGvV){;H>`yYKHqnq!i|71QJwfA(_ybk7=o@Q>ekO`kVAlTU<^8Sq%
zldqU#1-?>tZXiyzCisowWGEP9pvH2#dU{g5QSbe80_5znrf`0yeQ&5t+7Jkls0HgB
z%;u@R!!NF3UTT)M-IDAKA=Zi)nWo{N?M$gmBz<?;X&J#(jT<arDt!}^Tkr30-kjK@
zh{u+WCpK%TEZu;?U=mNs2i}(B@p!%7dlNmGmHoBD`g&SP*H3?q8QPC_4jS4xwEWPh
zGbJrq*-Pr@;-IinP@tl{eCMV3gzCDy&DMN-Vpf1D;n=Q{Ut&Cdn)TNk|6|o-Nu<Aa
zuA-zmzayN^BfmQH#meNd%yc=%!HFNvs!QM2w99x!9(9YtR>ZE<jVtkm-GVEZ!<$+?
zjdJTG){bx!OiA*caJF05yXu#GCLBdzoiV!+1l6Gzz2Y4$HMKt{8vE;qMnRyAgd-QM
zVf>AfTUOs&>RW?_8gffXu<pvEVD@Y8MPuo1Ma&KGqob5)zBTbD_mnYI!ndMwO@H#s
z4&OmGm)JM)Yja|T<0-9uVVKhu=}Q;q#S6}B?SV2gbA)gcfAm)+){eV;BKLe}wgc96
zwdCm8wuoISU${)%nu<F{r&}2?C$NgxOB9xwD^Xdya_Wrnx44@WbK6xNBf`U}jkHaB
zmHL#a<ZI7A5e|t|)MDTth*xLH5BA7kMVJ+L>bqAF8?CRVMOF`w3=P>L!r7C<m2T&J
zWk+a)g;Lz2tQx|Nvzje`vQA?S)gbvBD%>pC?bTNs9?t&gHcOu&*^UfB?Ak*j$yQVH
zD`-=`$g2~Mw?k;#bc5?lYd-H2i(ivP`fD})M)@~rqgr#j@|3ulL*q$s&$*rIa078U
z*>n}_bYCro=`4r+Yv<r5s02FcWKu-E5W}Q<#f2@d5fR^hG?~C^ps%lAzo^SuBhz2y
zp2@CK_MKnJ&Ot%z&F51Ud0=o9w7c2bxp?~uGj7xFg`4?YPwB04mZ)=V^zy|YoVtE{
zndZRC8LetcRqo&-ufxesg{BoK#%#Pz+IC$Lyg5y{-Zg2k52Kv^>+ioz!TFQAx;*WV
zZ~guHpvTfr>zlFHN4_g5$!_$Da%IB46DzCD*qxm%tV~2-sz;{=XY$jY&eU#$3HZQZ
z<?Fv3g>S+*SW1#<ir4pJtQ$t0=ein~zmH9i6z|6zWnQR~98jf7(?YL3#dd|J758y%
zv95)&SW4Q(#vOZ<!?TDb17x4X)KYA}n9pMwAt51=yWG6IynOotr$5Rc*&G~J`O6~>
zt2g8-%pNft<;#`Pd_5WswJGxp;Y#&iJv+wrF72@R|7RN1ml!S7?9e48w?qGq<*n{_
zD+KhFsfPHUFK;1@d-#&;j^1{=)*P)*tZJ_aVb(=s1;oU1lQ?0WE+;GouATA{T4;|-
zM?XiDpN<;C81%NvkFU)ilg!l8p5&mOg^_mm^u+GPUu;SrY^oTEe9*fi**he@;Acfa
zVRizY_Q^eFsxn0AcQ0Wk(&0Up+AHs{6>7C!tN(f&Y?>pJ!r77Ahjl7<-8>7}crZl*
zr+IeS^3BvDWvB1llTiJ@ZwmFVVd28atKgP`Cgg(Js<s0H0|HJv7IbpI4Y{Eg6|6=W
z*);OSwpy`ABU^(jsS1@Am<oqat-(30$tn!u?m(l-3diYFz3AI0lgn;#xrFhAek!nJ
zzOJSRQ$gzg(skt_X_^RBBj_^?@Q%jihA6$>h~W&E7uW@r(g{w_u@H0Ekafcgd!Z(O
zX-PaZ6@e(@<^q1c%&!hx!+iVq6FE69F1CpMo=g|R+dL7rhRk2(qr%Od*O&>bj{g@3
zJ*?+rHvbeir-LlH@9LAKWh)eA{$|uuzhGde1%DhX&!&0ipZR=bo3z5g=5cDxu5Vvi
z3q^e6TEsxXlo_$E#;wXirsaZglJi@Hb+SAK2ceQ62j-pPvPG#bAYH8jvWlhGP=iFB
z8!z)qD^+pN`uqD&&qDAaEhV3Y%NIr&rdGwZhG0<EdQ`LyXR^|GN_m(0OJ11QOf^B|
zD^+lV`7_>Cwm#;cuAjKlP>t&dz}LC%JdC(=#XL<PslC!8(!Sujv$LbOuzHk?l>2&r
z*eqG3Ke&W$J}oVoZ(eF};!o#ZW|2O(b?K;y&trnr5u!_sb0ECSc)wjw7VwzjvO|>#
zqo2Mcen~+Qp_(khC}~v(6TomKt8gY8aus-pGvqVvmoPXz3$yMNMpSUG%Gr?S`%4Ed
z|H<?_l_N-WzDii9F)ys!T0I}uX}0P?_Mjc_WZiVl_3)o2lBkx~oXNg?l^vFk6=UiD
z8Y*hd`<UhruDXkBQKe=lYvh2bGN03=OA-_ck|i6|MkC=muSA7jI7aC8)>DVlB1Sr{
z+1H*=KNC-E@9OP6SMz$IGFst)+4G~VywE}u1@KTQH?}!~l8cLrEZ|E#>x6lh?dNhs
zhu5#)znCHjUSk8R6zLbVxp;v{`t^4S_pnFm1}XUR)j80J4DYzk34-aoQhU@!LwF|W
z(UYKyRlOo1zwk;Bn#)(b3Ex0kAr~Ry|JaaMF*T4iBSS1dNg``8cW23g1_3+=)yn?(
z)f4sgjg=L0)V|e4(q1{IpOTUiscl;pLRf0!0kDrSpLDO8Um;A02=}kEqWR^vH0idt
z7$rTBnDw6SZVse^2@7G#(M&{=o(V%oeMnUqamvHs?JqKL*2SU;&l(#u1MlV27#+@+
z`GX2ZtQUh>go~Rr-U{A(N`3{JiAkMO!!h3`u6D#OSC^KQlzc5`G!G$+<IldfIikGo
zc|7Pgd+VVSf{jT&mz}%WWgNG!s7-evNeE1<O@4*>wqh=i-yA#I=fYs7ZNN=y+#{`<
za!im+T)H@S3_(`xTzI$xS;boUT77s`L2bU!#XjqwfYF>(H^|Zx+^rXevS#gbmPDm6
z75yu_>?#*WwFQ(wBTt8O#eK}xxB5iBf6N$Lz)%^_Wqfq_!q?h5)a~L5U(tzPWt3Q}
zKi*JHxLH5tgCDn3UV9kvxcdohdv4gk{Jc)C&OMKJ7kf(q>oKozm<l{U#rsZpi1<(4
zrD)=Jt^U>AEGG<S@bG{H!R56EaQlg@kJJSc+dpNCtww@N83NDwgqo{q5MB?J6Idgx
zwj78dep)o4s;a6eUAt0w4q)dt*4E)$Kr^4Ra*aO=1t9pC8`5Yx?=u;4^DZy<seTeQ
z7d0}OMqH4uP^r>y^<ZnR!Xd6k;Xhmo5ClC6pUkC47`djT{c~~SYsVca=Uy|ZrJ9Yu
zS&E8=;MS{Xv$6<S38B%pBUyY~`4A^gCl}Fi@Ol+{7pNEd14z~y-}SG17XGNuTzk`*
zC6&xzVi1tkzp@532jG;Hkh{@~n$tvv3n%dSm8;0HUVCqX0>Je|kYEX<X;_KqRg_;?
z)ApL|4Y2yADQm*YhCRqM({;9nY+6?Sh)ViAMrhz%UjlhO|H(sYE6cgRimE?M4vHm-
z;O-aPIXt<z#>$pQu7n9==hW2H!ha_p(RJJkU22Tdy=^#)31idH(A0!44$bWVBh|SO
zB_|*tpq#*tZ(K+omY0hn+0T-Z^l|m|tuaK!5<rVH7a^;=Ixs$NoC|!c$|+PP)}ph-
zwb~f00jZtE3zX6R9pMyyCU*lbx%NFDTs`hOe1xEO|C`BcY<yGC%_jax=FSp(45J4R
zK|+xx`E;>G*^r%`9Ttl<ry(_>Z_6Eg3tZFxSg<tE>>hysXIr99p$$G8(F|dn8n2te
z9oW1#F9X8@nkqmtWJi$IxJNNvEI>_7osu5dN*b(EY1{g@=+R@;UT1G7OB^3BFQd5o
zo3cBEw60O#;yIPXmnj@bg;-)E*YVvTz0##mmWUbR;uD6ePwgw}|4Wb=Edk8)N$rGV
zx<n%5Zqks5M=q<fUjWJ@r=M2YfiR*-2JGPS`}^b+5~P)D<yl2O8zd|jS--OgQ1nNY
z(e(`z^|gSZ0Mph3KtSqjq9@0U87&bhLG<N@y~rKdpeAHzkmDPd7$v^wbEh!*T7K+V
zHR_2}C2{-M5w0Yi!6a`>7;$l0m$h?&5pvd@2Y0{bDVwAXBeTyj$h*VjTc(>Y)^l<D
zKzH}wyMe=4TwMIcpF}1(B<a-}Zt)^PpEklgMMKJ%n;KY`g2{b?&}b2`MPOfTu?%*C
z_dv49PZJ)l&6(J)lRx;n_<Pd-GWSV>`$<+oYUjQ|WwAe2@2|2_2Fe3;&5vNvDjb*!
zMU#t-tZ|Wiyhxt^_sEU^F9bsopjs3Z?9j!<f9-{(dixC}ViS9p@(1%AFc-=TR9t}Q
z<kFqcnU<)#QoVNR5-f&X4-5yU2bzGsg^@A<r<uh|PS^%WXAgpv>;krCTNe6z$IPFv
zR-*WyGZ&kaYRF7zT9pq0Vns8jKZ}?0Vl?ScBa>W=Leq|<#BLO-hJjc`POgi!$HVB*
zw05gQb-2KU&Lx5{GRTVsjHIKZ>vpp#nW(5iatSSeRvusX%woUy^g=CyF!#ZTdR)|y
zC;j9YQtn4%1N0&ayy_)<0Sp-BG;H@BJG^H4^g?1rC?t@4v;w6r@TlT!RWVek&e|*L
z;>5?VUpl)F_Vg8hKN(%lCAi+`X^-(V@!G#hhysvtQt)-&;M?SVnX%q^^lt5Ae@n4-
zkoc_5<mPf99Vcc8@gBneIPG#Exmc_lfHADfpO<=e`^6+Slb3&&J!|8UI(P^C120VR
zzqmPVa&7afPO-iu^yHviEqe+_W@Jo(sbFJc<4V5Kgd>P68YZ76E3g;#n{AHZC%GE@
zE_|c{p^>9#LPhxYl^r<uo(c!yv<tL?jsvU*;r0ItOsvT^OdZrS$;X@16kzWWJN+R%
z*(m)qXo{_D2;4C6D+H&Kqzy2EwRLOB0Vm-c8b?^hV&0jHI+YuOQxA8*gve&<=BH*?
z`}{<z!o(3ht<?e=RQFuICEsB1dZx29(-zAlvr)65ltB;=ajv|!>1RTI1;%T#Em;VB
z(i<M;um7V`0K~Ohmok^s)s2H>z{d2uJ6zX2;EE|%RwB<pZ<;X4+`Frc&sAbJIW9zb
zML-&I9w@s4fHDY6ue{ta;v}KP&Kz%x*OZydd90j3FX8!P@GU|naMH-gMLi$RQ+0NK
zolMRSndooxjLw?;3Q(+M6{`Wwi~AjsCOS#iEgTNM?@UxU;%F~y=%TYM>?dv@;g^kB
zH%t){J^#Gx_fErK%N!}LWEHg@n%b<AyZZ$r>6NX|efvKM@PlG{zYI8g@L8Y3#8~q7
zRXSw*o@S5r$vc-bHpfDX*7%;q)5*FF9;ISK#{v#iH#=2)H)8!_Ll%)1t$Vzv@+BXI
z+i+!nJ14$GO<mZUF3ZG^95){=l?WQN#wse~6T;fwFjz-dE-6#)!#@}9l79o7Ds0G5
zu0m}xf_=*KC6ySel|PMb^$4aNQKbqyZLL|#mS-)ar!c?kOPGts>&gMTlb@us<aX0Q
zWpsueh8o$7jT$Pzaw1>%t3_kY)SLFB*`s-kxCT|1RB{-3siSI5r3sI|Vk7L)m^VjW
zQpD|r-&c><pT3scehxLad`w%ZeKSqR(sXLz30s74x2`R7#hSl#M(>gr+LQ2TqsD8>
zS}A~>zvBO}&=uBME;r+^!q>;jh%k?$7Tgu10IQ~)poCl$S<PH$M}E~2FCO1MX6&#o
z4I^Wk++H-qde%;?dj{X<Ct*Qoz*HWzxp=OO5+p-pZi3rO(Z~T9ynG0Fi!QZE(g38#
z8?pGg?1$N3O%)%!`|xv91ydo_cD;$e>u!vDw(rzmkk<mQ%;QzGBZ=!s=1N}@>P3v&
zbIa^1p>*Nt>DK)c1lc2Y1f4B6^f2+_NZyuo8kvn0jZJK~{EXB-UQ-RxZHgtLDCXvZ
zbsjp_Ah^_Jc7L}gvVqu?vQP4U8t`~{ft+=Ic5f+xSUHX<Pk3S7cP3v!<%H_$>Ipwt
z!UT<ePlA{(R~v5trt2xWcY02_r-?|iiY-dLKPimSq5g<PVt1Wgt?WYurIF{#KoiKz
zK+?xtQdXuT<0dY&yjX+k{^`j@qJ8$oXYYZ}@?Y)Tq;6|3>>)uoM26uK)Lt~!ZH~wT
z3DC;8^P)dZXj5yF5@+&f1fqMvwX#-|N`BoFqcrQ^z=BKXbZXVA7zR<hpB;AnLcNM|
z$fw(k0Q~~%tj8VK7bdxy?6<N^WwEb%))G>!)OO2IlT)afTw3E@loL7=>xUS}U*HOe
z-_=XdH4YH?2Gl7Rv)F4q*9}WY2SmQ@+6zmFh}>-}4yO?xJ#rMMh@TN6EH(%o3~3+>
zF+UhGazfSb*2S|rPSYwUv9ma9tM}ilJOA6>u1uj!;?^0*P+>$pb&*UJRetQ>%WP?B
z0dBzS<Y^{G2hOsI_T)p@)omwiZCWtTVjOij=28rH>*3TC)QuNz%+w+p<VD|DmG8wU
zpiS>0UC|Z3Uedj!HL)_`Uw?a;IM5*c4I2C?YyWuGr22zHAAIZKb@L);JE4kh#8Dbz
z?S>14?!`bGrf~Zf{cm-$)Bf~&7+KSsG$?U!MGTqwmG9NRK)xVzN|PwnN_R)s-%*TE
zTK*=<_7b`rpPHH~LI3nZ9L;s26X-|Qb|WXW5Dkf;jaiB*o4$!~IjNh^lxOg^Ts7J;
z<f%+Dt>w*l^M6v%+p})vVN9hs33G##L=~X06!8EGxn+w92)xMEQ8;~aag1<aq`^oe
z^5?5ReusxDHZ05gzXl&jko;gJ&0h46*UeoEJ!|Yfz}i_?IuJwibVyC1ysp}*S7lz&
zv~Hcx>8bUr<@6u=Px9-(ynw5I6qlfNfGq#{s;H!-?|6%=-1FH=v!HsVcGN1@ZN;AL
z!DeOo^7ckg{Pyd`SvzI&4=D&wM06i*zda&=<NRHlb}m)aBtg`xIF`n^{Fs=S<mBZ0
z*WTY>_N?{IntUt#I5m1sG}OE~^bTEoYV+QaN}+hJK=s;S)MFYsjSkd+@$elAf!Ldf
zm>9jlc~R2;lH@&6q7!|fRAXafhCAc55+t{qHYFJB0vw98G&#%N#S!h62`Yn511R>#
z@1JlXNgkjzrnA#jcmRLCh<`SXVlVpz*1%8VfMHyJcCpcopnrPjawZ%LQK)iLpWKlj
zFhl&n7dUS+O4OA|=FI>I!P=bg?wVvnO9LopBKw^-<u{{EyXozgj&<<VX6D<WGvVpP
zgge+w=O>bZhFaiS9Qz}Hhxn=_H*5UUz$Afxlg^{F<VMJQ2MknP%DF$&mbStq4dG?t
z<+c{^;wuS7bvXk;Kv515V4c9ag7;OpjX8TYGTWR<(dJS>bGJi*o+F+;Qm&bwL<BxK
zn7ekFOgwvrDzY-$-GL_43Jz)mJ&rOUmja2A&ChEmpJ;nLL}ryZJkZKm{|1DP-DQNR
z-SD@5>Ue!Dd-96a&5-@TKNagm`fGJ3{?%w+!zu4djS6;^<jw`Jjf>5UBwpLJu=dud
zP4QZAXk(g}P=AToOrq$eC!NqqQsE$|U{uTO$;k=GFh5uHv#VPkF|gf`Q?(pDb>}TZ
zv@0@Yq@~gS?I$b=GRZ}B@(FMeg54t}<&TpzgfTBndr8sIia%X2f&S8RLmq^N9%r(@
zG#|5K9HWqWDP~<5IOda&U>1;;&oqVcL^=Hzw6RK#77B!vcQ|>~@@9zRPHTaF{yTV&
zT5q;CK-It^IFs*r8l-saF8_6`#Bjr;dg(}rnG@PA!TCe?zg<Mb#!0y#CYi*<#O^Sr
z{0y;)$I)sH7K)kFw$z-b#vFNtpO(y`7;^Zu#qpa!(N0eMb9HW0Aay`)K|<VZ{X!0)
zJVE&sIYOAEx&fSXbklz>M!}j+rfJ5#iU0lmH|Y{t<+1c4k9o4RdP!=KUu-z;&}E<h
z>PPE5RKDHB4^|V-&BHT@#Se|bUYva)KT2RNw(>IdDYpG|b~QuPW%f!~J3&Dk)8&Jh
zR9D=OK&*&SV1aewebEY8|K2s_D_^C>+@|<D7Ri!7Tp|ndy{@kgOFM_q2D8Fpqry6U
zN0Bb}I%w7(O+U0}{o3(aM@Prn+S)ZHLb(`FZE2Tf3P_s1555J-4E)ol=TR`#_&_Q2
zRO2m4w#_E~HM}ptgdnoIqW2_LOyuN}h7L7KefAa<vVQtrFjpg`Kt-IYSP*o?MtfuL
zh9$kM`Du22rBEK6n~vz#KM|Bi$_cy2r+!9Ugc)Deg5iA1w<+T3Vv}m)xAufw=;2=%
zge}$-=%bYA+xD{o9|86|!Q2>!p4r%nsK$E|7u$jq%pOx=`#IvVTrLk^e>MlR{p$-i
z>PHPC&BD$h(2--u#UWl)($Y71R#>OiV_J$W#DFf0_T4%svTtP<T|i9`TqJenpcrVG
zJ%)7LT_&-?<*qm?+Ot0GlXbDaJADoap&C---PEt=CYsh%JY3~bI@QL)B=t;$XJ5t5
z(o`4Q(6j<o%wiuCJubmzJ4^|%DwA}2y@+`HkSW05(NRNg`_RAIIAuT3d2UU0<!LYJ
z<p<&wYfw%)_|SY-oTjE`+>sVR8l+M_Xo{?4bS;9Cjk<q@t}@<BzGGn<T+U+0-r=E7
zXUTk~qWm{-p+&{+t24&DULd!aG5lYuYmH$8y8_SpgFtlbLXW9HbXz-h%&X*rAoI3-
z>}`3+f@=b6?A-j$p)s#WUde@@!vTkG=3+AJF(F|#C)(58+$>%l`w;^9uNPor;6L-?
zus6Ig|NqCD`$f_b^yo`DD3}s*0&LBwy)K8)>Q~4b=S5;#lw*q;9v;@y(*uWPU*_Nk
zSQKO4xFUW?ZS+M=f6c@Y3*xsz)|Tw-{!aCM#O-*Uz>lkY(q%={K9gNtUEl4l6scZR
z`x_?##c?mDwbZ)Af7khw>y#sJ?PXkbr>f=;)PifZzqCxp?MrLa!o`FQ>=pQ;q2kwv
z79Tn(;h34B;x980l87rHv&qW4)d-4kgh75f^liaE@4IvJ!K=%?p8sx18O7o~8~6##
zJ3+JdzVnlm55+q;jpoZUclH@hRaG+t1^my#wX$s^!!z;gy!`IW%%MN?eW#yHD-yi-
zNEYB)xjSjS6{wv4(tYp*DdDrAtEAVU1K{|Bq*ORwawaFGtZsj<$yNR4>#+XF%8g3W
z+4+JE4no_xx^6c)3J<Spm>H_=6Dy>Ba!FX(wdOVMc0Vq_YN)A21GcXA!v*mega)NP
zi?-NQ7@yx|+%B@Ed#{az4Z$<%H5Jg6ag~(xf9{~V!0-HYUj*JQn}6rZ&myD_=ban>
zAO|#0ogv4>7vXdSo20$qn!2#jc&W|*f@1yOW25<nFF{>gwwTUln4q|QC~m8b$;(8K
z1K-(j(&=^f@%%93{BWdATKLhUc#Rw;@9B3k$E7k@ckx<nZg64{h=jd;&%5)Z;fAxN
zz_TUX=}{pRpPzBqWm7hktg--V+fHcw(A|cE7N@{tjHb-#F3?(Z{spHH<Y#WLFs+L0
zD?D2*gwEVFJ1{%P1_tbvW}tUk_!>^OnNEH(y+JjcEbtW;6x46E(k=C7oHt&T-duz`
zoeepi4iyaCB&?xP;~t#ipx1v<fG~0BIdmaeZ^M7f>~zqq#pR@36S}Q=Hm@1Vvp?ZA
zRoQU5zK_NQoNqCmZ~eN-=fC`nsity)z$VP8*{vT#>D#hxLA_E7cKL~AG|`FQ@Ve*u
zj?DQBIqB0C&8ZP6xR3LW!jq2u`hB!h0M_WD1n^2#IpIe^K|x_*8=&PMsh1j}G}P4r
z*=|JV+_>HZIp6N&^Gmle7*dqpj)&JkS76W;zp3NN(q3tagkNCpASvF+uYl<FPTzk|
zdZH%&_?AHAi{PJOx_X%PJ<v{}-cRol)A+NT?D7enQ{BJJAYv6@CkH%co3B&&oZ^QS
zpA#Hp(Gm|g_sN$jM$3LXxBZqqe9^0rcrOpJ2`7o0Hwn8}x_O1PEP!U3E+#Y_@Lfi=
zoXL^l_TY8+uCQ*q!+GQM&+6(bn#0-VgZaq1r&KQ`052D)CySR5b1Z&L;k?8Vjm5fg
zT@OXNQsV6G7Jjdd8|jU$@4ezz%IRm}zAgHD&pc?VtE|%VR@;0Qdn72WI70XOb2QIa
zGR{_bb-ZC^L!F%<2AbIM^y1~@(tq>v@PJyw%8G3h4Lp%RsTJh_7}&4;CwCyhXsE`n
z=?yF@M{g)+%z;RfpYxc%kxZl=q-jIEQ~UDGB|nV%k7=r17gX{GA45m@DoYItIhliT
z|Ii(po;Ho`pJpk>#nwClQlpVGs>}QyJF)|r=6*DxwT6^IbkQ!cXoPDux0B|#hV~*C
z@1Ll2-_=~gy~59{tEvtZ19uhovs>3OBO`Ch4L8V6vQz~;y#ubsYm2<V{5Ff$m1tlG
z(Ofq_=9@4I4~`(Axx%5%W#k*+dS2C$EV*)`DmOrq?;UeB`j0fpCYj`BP&nv?Ij9fp
zm-Ynud^bLkP1Eu49RN*emxCiVnZtH8w;OzDczB_D@?>?u+Lx(>WoPs4diPSwaG-6#
z{$-E}g5v`irr{JjS+Q=2(#;<{xC7d(_<8Bue7c;^_8YNFk1O}Gi6<>WOBYmLLTW9T
z3SiLrctzvkn6JxWGAA?YCR68U`||TmOlO<yt7Dgx6G(_JOFR|`=7Bn8OJZ(uPwk6n
zu8lLKFQE??;dJNwFXvLBXAOyc=PA4AbfGeDOlv*YLFwqo6E_V^=T#gB)eV*06W{(D
zS@4=4{2d~O%-Y=4idy#|@d32cZq?(8GDlhzhpT!Gz81%Dr}{&)bG#YzHZV<B!Q_c@
z(b)1KPk)RLrLJY964k`X&Hc&0hGsSH9KJO#9j%zEMBS#e*Z-(2G|vv4>Sa%y^DVoJ
zgEPP_NSo6*+S?N>4~6omoj`E%DJOW=qH72*5JWu>QGi$s+M2C#L~8rU8uh~ptZPnZ
z(tQ4k_pfvt*BpJQc=+%k&AY1#Z<sVP@5VPAL^T}rc-8N$18?PYzUOp)5O+Qz*xd=^
z3tWAX5jl5|#dNwn7bhdVN>tfSX!?o4Wd9lIgTvNiL3VWi+V<)0xS>J2MCrndcLDCU
zv)wi@EK`A|hQ?&(H_=#FN=iY-`o6Jd`tQi_InmP6(hym5Oo%NCi$7XjeM{d4_rr4`
z!HTl8vp<c18!bYPj*hZNN{_!q)YnnL6<()WQ_;C>f0{{BK?0zlb@v+m8w<*5Gr#q6
zvx5*bnlnE@X8-QjltEXI96OyYIzgAbpf)?RicA5!TxN$I7hZnDE#tTkR<DE7<uk4#
zm;VdAOT$)-)0*$PL@PhZutz}cl9)MX)#1Q?W2_{bbK08YM)A~&`+T*jgT-v?uC%41
zb$#O7w}8}f5*g%-o!eRJJ)UyXFV<SMW@tz|3EQwFM!Vy-6K6n`1*tu1Y7V&J{9)|s
zsA(~*owP$m2Y0?TR(-Y_21qkNAO1@K-s3799`nEBb@P*r%y6EyfA2q57cgT7sG*kD
z_)-x|>%&Gxt+M)hXl;u5w}!vC^D|tAxW_8)Yy+1bur~^>he^tJmonp^c}eE{(B&Nc
z0;LN}-z@Zv$%>-PhT8li_jPwL_m&TH?Rs;qRFj+BxY49KjmlMxooZ|T(w2DWGf;^;
z+o!9BuKsrIRw`gyjfnB*8aDIx4A^RK@t1bO7)_m!iX$}8rj_Zm^d_G*4u@sxm`A@*
zm_!bZHH<h4-Wz<2w?Xqv0)MxP_st)?$0$En<5;W@$jn+Xkt?9A1RoNQ{5q4T)-RZ>
zU5_Ip4hFbxJe#rcd$f9xjK}IgZw<rP3r#8fzzfZZEMEnrAxaqD4Sl<QG6O2_8C#&d
zcmK{%)OurtKxzbdQ6yP~+Y1$%amBNhR36JSwQaSwh9=X5!SdlN0pCZuN$$;zm9FC>
z@GC1T8RcodXx?7@qOKkI@^{3KCa&_G-ohWJzwTW+V_exk2Fz~c*X0vUUXnn|<OE8b
z#LyeTSbDL9cKc!^55PqdWkWDNGmwkrB;I#Mj8wd&sx{qz#$}#ADDJzvEKIBiSxYLu
zzDc94!T|0e&!N%~g<KMzT=8Z$Vy9YMTJrL-uEN#?#HV9nzj)po@GV5qh%hYfYd96M
zF;_cws8uK(ENFP5`X*aLJq@vrm39vm>R~nIA`6&Uo5QE%q5lR#J&kEX@A8@YpN_+|
z$lL0NBB&{>zKfXpbQZl#U}e)xpAQ7QpWkS?-7pA60u`okI9cDYnYw}bJP#_n)?sdY
z0d$I%Qc=*{Av!sDq`vbzo&^-xg#K;^n8_Ir^HALYJ$U<39LXwln)W|VzaVf($Fx2^
zW^~z9J1KX*ckQpxejMTr)=Ac;R$`S+`D=Lv^Ujdfq0`jpw*0lt{a@SL+t{Va=o8lM
zgl+}I@)xF2+a0`{6LnO};o%{L?llNx<5iUc-scVvlNdb)SEm#OLg!{zm(fkI49xoC
z&LIW$b$ZJy2QJC&mV3YK=PyWDiM{QR!}3vI4gu$+?{X_KvQE`wNo*yc%vtFd=UFvs
z`q~lwm|3_y+};8)=$z^Cnzgd_zVK~|VEl-LhTVi?B>=&dE$<`$M5(ud_(i}fdp~9}
zwjIR+Eqs~!RLb8X`=j!cb)z6;(V!gXh25NKf}Qn#8^)S=I}WOm2nfqc^f9ltkM9nE
zRH}aBD#*|&R;(qpm@B^>XjtE82K6(#2gv@FcY}1IPsOVa)B1jgU*(t*oWQ8BwN=P#
zQMDDvI+f~$q_7UT&;uKWUwr@^@;)y~Q@`?bEt1DCOkg!Eksa5#e>x+Ss}m`6)Yvo2
zcEbzs3;-Sr!MhbI{sO8F#lr>fTmYVNgTBFJ7?ftEYAX%jYC6_o-Glzb>gAyvobt?g
zVOKRtsL?SNQHh~Yn-jAr)3otFn%20@3Ze>irws!yy4BWBfEEkF=c<OWA?Du!Cn}QI
zell=p4P!bzX)g@=9>d!H5UPRj?w+nLdnYC0MieOaT~f()t*(pFkrWZ}I%^6}W~v}|
zeD1I?{wFr(8yr8RvcAl+qJk_zhnxb!(Za&w<0?X?O!6<cC2?%u+mAPfR1i-&ozu1l
z1_p#3qa;eXRXLE+sPknmWHULE3fFuYQUnYP#50hrD{uGo$qsvfa;2kJNy(gO9Boga
zAJit_v=Vo#aCF<^?%lf}E7N3q`cdPs041l5emCgo|9x1(|G>FezwVfgsF7<W__epS
zQ6(nks}cujsEKO9IPz860X7%30Th1H8#5n)Iy#h^NTufMa=N*>VQNv@t0To0dffT_
zE5-o@TN-VYqiWgSp#O`yaq4EM`Mj$bve`Xaw91E!s7Y5P*O<4h9<*Aoy=PVCHK`d`
z_soD5nf?B!AnP__1OMW*Cye(h5Np)q#!bKk#-$T^DY8o@nA3a8+JK|#a;}J;jZv@w
zJz@qdrV@{rtR@+qhHL)3k!mo8ap^IF3<L8Z5Q1a4boK<$j5lxIG^gosLz}B=emj$^
zFy;k~$PN}+RSbYECuAd_Zo}dEi(l}fxX`&UbK}rKKz(QVZx+z~mkvIFmS@};?5%Cs
z2fZBgr!s*j-AoP0a*bcu7YpS>DHettbIr%GkM=Kt=C$IAiXpHW(Ea;6etDf?<+FCX
zr*E&B3Dn=^5xje{=D|nX&wy`YGBk+b<0<IX*ehL`nH6m#dmEKs!L%4PXv|x=kRyR=
z8hlm?T?`%FRw>VaAP{S&kNG}?1)+X_)%M+GK$M>YMphNZ`#@%msy6klUEi%A&3`7M
z8;;cM=2++qu}xuQaTT&n{G7=hdnvV32D~uLwiC%l{EWB=h0ji#(~2D17T#_8)(eF9
zR53sYXlHi-z>d?0YD^0oz61|8;lAx>no8TL>zL{r@D-vQd<44&26V`;Xgb=b0T5we
z{Tjm=yLR8V%emxmJEf2=`2J?VlpDeexnEh%g`6EzsGWG&c-aeAK;%!~c79ZNex!N6
ztI1b?@EUEJfj~%sru!l+fPMsYv?$s`h`}3jh>?0gT+fFga`CegbS*8~wgw@lM<}Kr
zf`OS}3t~5~NFa6dK}o?~d;+&GLMM>gwYw|mlno$`gk*2jocG6WIb1ri%mBw7&iokA
zd|68-<G%bn^ZD-~EZS7_M2@4s+Y%IV0iJN>7<V47;V;LN9F9D;=p<=+Zr80MKF#YO
z(^&Z9hyN^PhWF7*j)>7$_OX+FaOni3Sy)&YxEajkKO4cek*6>oa{n4=eWx=_?1ooz
z7BgGCMOST(A1T-dL*f{cIu|t3L@7cuamOkgZ7%kHQF;J~O*7J_&sJFZ-i>d5Z1HU3
zP_XKCu|79-`4FL$;<I!I)}&wH82Bf;&yYjj_v*%^@Lid!PdDuv_Uu5)TW0&Y;SAew
zw!jy7n0@ncYFCalo`d2L;7qqlp;=ylyeZoEv@03Qc$p8OZ+Gs!vKg&FbS{*Pa<4Ez
z_QF|}g@uJdn+Gpww_oT;E-x>qQ#32eAla#iAFs<<`*{0N!aRCyB|oXe;W%dlCTOgh
zanIX`*d0UGC0gx)mI`thS-f^KT)$U-*UbMBtTSN0cIx!EqBJve#_{-)W6dG~(@veA
zPRZ<a33wT?Z2a0BAQu=t8ZO9<=>`>{M(K*`to7tUkx-s6HcehWzTU1b&>Q}DD3n2D
zoJ4exjva;PnVZa=d}3SOc`Mk-(m<CNRyr1Q;#+FMGckgc<Ltz@k>u!bPHZ$?s`J8-
zY@VO=o^vw?9>M~})Nn?=%b8(v^X0>)n8}>RSeo=|2Jx*F^t(F|*DikpZpI01iUaBf
zOEIJ5(oI!L8Zs;p4CKy4mJb<fUT`XFteqvGNp;YW4<#i0Fki%zHlo1T$gj&8@NuNj
zR)CYq@V<OM2D;hb>U9=d0pxwSkc?NW#AWZ)X<k_icOX6}wdsxg-6nIkC1DJZqr7E6
zK!9Hckpy#MJ3CT56>8b4>%SwHt5DCz%p!9OG=q<8(1gY)WMS4xVa#M?MyCd3czt8z
zy0VkcRqtF2dsFq8U;p#EO>b!Oxyqd=`JUxT;LoiYarksIOwq}g7hG2h@@GW{v9O_g
z8srN%k`YoyA_xs8G1q2&eeZ%vZdB##&Lq}HbMudy9<96c!fJi-tD9xhvYGt!=0rue
zFefuBp0(Saat#bq`wQz7uc9MuKLf0MW*#tV*5Fia-HPi%IxQaIRg9!kYj=hzK<eAk
z+S-a=3kYsXWV0(D1MHmN`0XFVSl}Rk05Ggu2QL<#0Zmh&jUgvH+cVF8?VntoRp3S!
zlex@ABq!=?M$bOYP^pvy_k{bM;#!XrAym-{%Z1fTwR2C*2yJfxQ+gd`FFeVwXi)`t
zt&c6*h>%#keVeD7U!21L7OghC;OgVy;o;+RNSbe88i0REF%$Rmx4ODI$e+*n$V|^?
z%3rh15$nEQ)fmI(1mG<lq0n@%@k@}AU;ycU{ra^qD3U}MafkDTT-1lf<RiTN8g5Hx
z9a}qSXjGW<!t+M}oWWrqX)k=-c$rM_UQCWS;{LTH?NqgF9nSUNKMM@8gM)*hfYq;D
zG<u-l_K3v7(XqgoS5eFT?BuXtnY_v~$M~j6+n=KbzhL{U!-H}=EvoLWuJHic#;2v-
zkn`UxasC9;*$+J5&p58msGSfp1H_m7d^=mlxV7!bzuC5o5}s>g<#u#Tqi^2u^a?FR
z{0LtVO|7mLBmH<8@`|j_5Oigk8U#E;23R#9(8=MH99)dn2d>p=8aaWhs9DkalA}<S
zsf}<x9-K6Z_f-IYJZq)Wl2>XrHZ4p1wj!J*Ld}8c`4yk}f11olED|zUUn(tj7&SjI
z>-H@E>uYcRlRw(C_B48Uow@{nxY8Z7>w9QlYwW!-JIIE`zb-x~<t4sU1U8ea8L$fW
zvO!?x;sQ?yzoKfuzjuP}zzHcYJ9EPpU4x6>Kd;$97o&`fjFc2e_nK0j56<kwL6r9e
zjkV@9p9w|e?ZXpIsfQrJS$l6<csDdtzg=P_AThIrwBSemqeqXnOo{5O41nJ-wMEz9
z{jD5+OO5;$zV;rZY#;^dR>#TDZ_c-?J#?G@O(Fb;!RskGNam&4X38zXWcQDZHKyE8
zSFX#z#n46eJiH28R7Q(O;{)oL>8k~$k6!wj+m@HrYXn_|>H@FQa0qWWOfK|aSQ{<X
zls=rlTfZ3+7qDj0wC7mqceJ}w7_e?Pb+RZ@K14|Kt42fOOS$db+Jl#T01X4GLfghT
z-+fAh&Jxf?=50q08pCTD16~-BMRQ5~tp~iEsiTJ!i+qY`=J>r?7Q0XRxa=`_vx`4y
zW!VA!=*dbCb*!10Z^LiK4CC_vQvf>sZMt6l0C#xzb%TJxs2UCq?t%|SD|l>(g$lv!
z@gW;`T+5Mz(1r%C7NX-0;mhEpra)LAFi=r<`JjLZJzcYr;bI24SG|k$9_UawUobnf
zvgv4!-3~YhKM{(|u+6!gGr(CL&p_+4)KI5e;IYu|4TVB?^y68TiG!cgw_WsjoDC6O
zU`%FLjCy@ixKaWuZb29H>%hA^@)8;;*s2~iVgDpGK2~?L(WEjmFu4By$(la$#7i1+
zC*qFs6h0u(!6C*Wp>@o;{{z$!yB|P2x~q!XJ7!T{LzODLz86uWcT*(j)Zy5u8F;aI
zB+T^a1Z3hdPX2S*B0&zAv-PR7b-sWVRj-j*QWkgo>fk}DXL%~zgs&5GbG8Fv&jv@I
zG?ll+aWA@x^$P+VP8ZX<7<Cy5I{!YWrp{Ob{(VCTQvupY>-zj(I*5%*>TZ{&;RR%5
zaK~pMNG8=c>}=F56exGgyx-!2F6W?SqUX%TNf=J>!PV14mjaV-P!CPI(}zK1hC&O;
z%3XFSTAqzPPG(0@3Pj4w**g3azsy>(K7Ve5>&cqWTWx+9h%?Hc%tz<#Z-D0Xl@Iby
zNTRq)-ac=<6uitHO|i?*NNeM=$j^Qz${yL1rbV{=J?$OMM}c2YX)7XFn4j{~+y<?z
z%3ggd==^-ULf>Q8z`(lfK6gDY@d<>xQlL!WOSBhuC;&aQKjGJ4mU0Qw>OvdYl1KhI
z?w`{!Ip+9`lX*5^pI&CZE69N3y*oETp4|U4I_lH@0QSnNWG<xu8~HW-;c!x_uiu03
zpk4G;t4HameXdTQ2jWEedLFdL+Bij*m8VyS^RA9=fiXwqYyt`6zaPjAA6gm^LyE+{
z2o0fMM5zvWbxXmj*dq}L#QXc-^9(1F(tqG)eE^z!Ky`y>tm+b|h&aHDsFYA;J|xIy
zA@zO_6XVhS$%U55G^^CtF%oKNwv?eo++26LK4=FTm>b`KP&IBwwH#I59hoEc{;+6H
zvEdieG?QOYvznJ*VCb#4OtV=*7jh?cV1)Q;d}Pw7w6Omo|GCYJq2_u0n>Ly!ZXV$h
z+Ggx^#>+OxwKX-dD_<yNuVq>(kbiI%C9x%{Av+;%%zX9fo}@l^?~Y>Gh6z>6%Y0pq
z$UeZ(Vk#=dcxgy@eR(z_stvvf@SfX1Aa%EVqmGA`m9$iDhWwhB-FWxpK4Toy-sJQ9
z<odAQhEIGNX7ZZsx2RNY9x*db2U}$Myx_YjJIYtZ%|e@^`4a9c)LIPM{90cZXL(v(
zLlimBbd*?Ngzfe8^Y=E0dtRHU2&pI9o434Sm}5Lz>eSBWVG!^!8pLbomQ{IS!Q%fF
zlvh=aD!@tw2VTM`df%miX%kW3<h6CuPgHxjL;>k6k$hAcIN(gLc<qu`Xxe_#dx5`e
z-$~~_<mA2Oh3&ZB*^*?scI9>P2nBNA%cQcQp~09J=dKR3qK}=ikD4zpRY7`7P7VwR
zc6KA2MblJ}^9i?Ud+*+ke_KI3TeB4}=%lZG|EsN`?(H^9Gc!s1g8<&nAgnOe9h&a6
zEW@);=Wl?+cbENqo}t0F-pn27Plkc;T#ucbrXL;EmROJJ7AwHsmi_u5HTA3zCR<1I
zywZj%;s){NwSPbS(Q0uS&wH6~Y0$Iani!{=Fwocc7)Io(`rgW*VTz15Q}|g`ZiYyB
zla`95f$47Q`9iR^xVZS|c1zEi#pZt*hB!J74!l7#^!SVCw{G16y$cSK-9qKdB^gBI
zDht{Rnz>zKsU*ES05=GrQ_MeEKDOQ8+fcGucx`a2UAS{Q<pGSUr$mOmBY`zH@9h9v
z*O!LLinf>CewlGgrTF3vwOk5;k$(mGcA^W+yk|mG`Osx(bin!9sn9d`HWxq=lQK#k
z^r`ZhIRE_TCLODx+N5We_LIWiknF;*eE+zANs^d8_>n9BR8l(XDx_b~E?u6mY3A1k
z6##}87i(!Ht=8<%$xx~@$1CNTTuu$RPuoZzIg|VB$=yV}NvT}ua*=|90w@!Ewzi85
z*ghS#qU~{w40+9-=yjEtCN#B^J1Q?PM0Q3q4Zf-*zSgWws-pCOUQo_l5jQPnVNt9f
zZDp5}dl_PoqK7hEpu5*6c&nsCW7xRu+J~adH)Yk;htofUB}__nhN*6QV=4l&SJXjU
zTc;v(?8c{1TS8k<Q}mxL>vW^Ix+7<iDgPZc$~ErJN%wwr$mWPeT(_U|@|(>=f6%Y;
zJ~cKuJ5Br4`k{7750zY$oANq`@7=mQVeesj;5Nh+L}PD;HEnrI-ixVcBT9D`rH^V!
zh!E1*(o(;Ycr`I6?^<4xn)`#>*NxjmoN5aE{vInS+KEwD`1DxOyqI^p72$5wuQ5!|
z$hh~Gyr)2)d&9k3mRmb!GM_s`KjH&m;9#AlUbFkh;CHzb0H=+O`Fg1O85v<d3)zif
zFt?h1FSu&U=Q7ba(9pyrCk6H1y>`XYVDHeMr0Els0s@*KMp4)rfb}XXy{77c!(7MW
zaC}rZ+>W=uw77%P7p3eyIy#u|{T+8Ks`9q11|V9IjK7)TOC%>u=Ld?AgUv7*NmV#m
z;6c;WL92)<^l;%2{g1e>p`oE~uRtG0C2}e}ndp7HSej8nng4g$-ehd>&uxQ+4maO2
z9Se(uSrJI%(hkFp7Rv{6*=6)Q^1iV#PD1a0?3_-V8@-;HSzLJ}HFHKU4s6_HoI2al
zOYhkwp8E!QNcIl%(my^wOU0i3>-B6K*9E(0eXS@5T+5(lXaRN)j|csZGscDLCR$9C
zm%cT3I6usAv=cnR9YGA-WR>~>FD~6#Lh1lTCH&vL0OWr<u#qkH!f>^Rac>f3WZAy?
z5N|d$H9<fK5mSW^=IiMheVvP(!r_*eX<l8W>es2TVT(;?5l}0t&gHlru{Kd#NyGgh
z@@d0XLC7xkk|py4QAN_QrqYIx0&Il?rR)h*X7Llj7*aBU6?sb*ut(nIiu_7*?TRzS
z6wyizDa5eI^GM|7Ua;Yi$7#`}IuTVfKlFlx5ZU76L>XjneSN(O^6|$}?50X<9=mkv
z1KFY?&5}dnHrn+!rT#>aYmvl|_xv7B*|wk2Xf%dL{d#+dH)3I*LM0&YY+HXwugA>!
zk3sp{JJ2Gz&T+}h-tt=0&e-qhDPH3(SD??f>tp3DuZwRNj#PA){ODbZQplRr$T>PX
z`s;=WE{qnj{1so)tlj#cj2oL3Q5TRd!x+~qcv+L9+w$?;+}xf-gz~k2XPm2YbFbq*
zF@qcJyw$}2^A$gcE%+xI^pr1;tPjXH9(QRB*SYrPg{6A`EPeASMW1Co{uK?D#@shZ
zsumCgxjMupei1)PiDM+1|9D6}AsHg2a}*7@|M0MF48EW(FR0c)pI*-deh2ALS@v2o
z%`WYC!jtP-mlGZy(;X?gtM^)$etL3=$8CpXnlhsK_irW8f5II9DOX)nlMM3eUE7?2
zD1Ct#%v4WrNwnv{XO1PXBW_^9prfi8d1abj>|Ttph{*6-ckQ|%FU-7_+4k!jH_|yy
zXjY?6$5OI{goMkC6o^hA{>XYC=6H9e*MDGycy}7MU2{tnx=tL7Eg6Lg9I8AI^_n7m
z#US#W{c@3_@6v;eUb1hs5%!lZX;FEYEb-i=;y<bX`sRxLq?s=B+~KCTCj*Pxl)*Zo
z_~EXf{fA$u{>ukT_^RgyQ`P;9HV7lwj`92LcVzw$2qW}h#$e3bhER*_#qs><duwkG
zI%uLz|8|(sWG;1%hs19xewGjy2OV72hCcBs$c}}QgM{juhGMs>dJpa)>CgI@VS2uQ
z5DrM7P%I|lA>@P&J-m5^2ut(tM?MW1d1I01KfE1CF`DdD+sCKU-QSrQEfCLCSHzm^
zmzl)ctm4YRUlv%d(YSOCO9c6sm4-yP$iH-fIPy-lPIk&Y?i5NE3meMJ>S~{(iAzoV
z?8wlmrJ<wmwh`~Uiv<?YMvL@qhb??imu{iqvWki$|9UxQmsVPvabGM7P-e5ct*L5@
zu@W2J=f_h_q+tQlW{Qe!OVaz*3=*F7e<ga*iJg26Y2@4B?^o1V%S6b%CwB$DN>f@?
z>~MS%?dMdzkOF?x1;kdLyy~?Cg)~A&fF7rJaBvWraPL1mJ!TVOhjmUeW=L#QS!8SQ
z)~-F4{XJ@vA%!#Nj`ZniH1nG9Aaq@v?oS0CF2Di-J@#pG8f2`5wg@5!0cGA5d{XAl
zs=WQSr#oa$G*vD1G;!!r-)~G9XDmOjt%jo75HH+XI-~6lEjU_o*&XT_1@Ob)FZ#vJ
z{{K?sYNQLq8i`1@8hDBtinJkd>+9=#?=BZoah;XCR)WGUeEPR-kHndOmq_+Ub{dGr
zKD&mblvsXeHR>$-!`3j^wx*!7*734AT(;Qqv4PvmY?1zFIaVz)13^~b<xPfL95xfd
zA0aSt>lUg7lqBOL5*B#(#w7X}kTu0t28sEh4ih!_F}p%UU0XF^`3ehhGhs|;gmx5^
zQ-B>Wu8JMe)gsU<xdRejm6tDZD|HRHIH|pn7?DYRo?t0K!7|(aY_qd%Si>2<u&`?O
z1`Zf`-PsXV#9^$=X9rYJci{a~`9N;ST~qJ_Kc{*hXp=to&Iu=>+r$U7Z~)Wu7&h6j
z?hV-3Z#WN-&Zu;d$mng@{B@H~#IbH~%no#nf?-~BF(SMh;eWSswR4}VJiBu~zl`S8
zy4L84)cI^!MM^l?YuyY@{2-&|){V|CMWKU>i`7IEHKSuI_jZ-77W@N?kVvaolk4yQ
z3=Vq82kcZwduP5i(|*kRXTr@Vx475^kb^tdQo!HsXoN@!25MZ3X9b>IE=y~aDI9n|
zDwl4UpUXoVeWBjRNhR4WCEN<QM61%#D872{{f!CkPUwoN*%<gC?ZLsp$jAuLOaCQ=
z*Tcm2_L$n*+Cl)|Wi!cR6mYdTU~2X5;-_n+z3I@Sm83rK$?>EgPHIhpSB1^(k+d|l
z>6XaA@bLL=j?4ro$Q78>E)KhKCfBTF!*vTy2@g`=2mumyGS2Jj>rMO1ZqW(v?(OLs
z5t@J?L7ADEQ)hdX{l}wawv<S~ECB}h9AC%xR;$a6IDM{)E!}%IL6w)5p57l&hm3$f
zTyX#xA;W*WJ@rOQ7G<=R0p$L@a+u+vTKyRDe<us)?#$OK+#|b{n|DJDk7zO$WOQ(J
z+`E0dm!h+zySp3EP&EY-u}wQCyUnhOg8V8R#iHcd(0P`mOE3$AA>4lNuIp2BIV~!D
z<d>D~z_%aymQ+a){To46AR}KeJ32nT{%@T0(Q@c5y1X_}$LW<hKPe16#U@%52cEPA
z>QKp3wJc=>*4K0&S}+}t0A=!?^jSiKo~Ftv=<zL)asK1?qw*`3yr3;`buiz|XCe9R
zOuImjs0HJxW$9>aY%I*wm*ZZHuOe_By(ptf$B7z`yu3;1@j96HyVptGPLISw(u+y|
zoo;ow@JpLTsieMcxX9&3pqzJage(TWj50s-DiW8FAao1F(1~bFF|u6y)h#l00?fz5
z-JRRsds(UpL!+s@Zn80n(yz0KBskMDXXy;5!MvAtLqBXm51y^9t&@|?;d~-yY%G@D
zw{Uy)jF{+Mh#U^`Tu*O!vMBVPq?$pTazuV)dkwEs(+;;3>+J}S4^A{HTcKiyRXSR8
z7O5W5L9}ZRJFQCr_rwR84yAMaM32@}C+!an3#+srC4!h8^}(`PIc^dM6C%T<CocyT
z8GS5Myo{4H7B|xUHgXkkH@CW-pr!ZFei~v6Nk)#<|3H9JM6~-|s$19s<c}pU3_gB#
zxRimz;lk!#ol0`E23-vTNClitOl<5KXhb=x3_Pv`UULpm6I0MrtXUlRd^qrQ_^W^Q
zU%!z3yJmQ}P%r2IMbvjdbG`rnzimm#3Yi(%dlOP3BYTsTP4)^QA|p~pnIT(NA~Ui=
zNJjSFdsEi``RRUt=kMHm&K>T#pU-PPpO5vD%KG0D;!0tS=(7=|jR|X>nKSDvWQ~Aj
zvvFXb$Np?J3!9LIuttI7{IF$IhF;CYMB10|U#XmCFTizjavl3#)?BrX_}GBN@K0%1
z@@@Dp-Bf!ksOyerBPah3!EDf0?!b;)x1`K_m$43Fu_N;;nD7-FFMfIIc4Jr#m$$-*
zc69>|bo*m`t0XzQo*WG77UEniI-TDm!ffWv84vc}Zo)x(|LN1-9lF0izlBxEL~a+-
z#<bfnmfh)!;OwGq*PhpCEy1bq`uN24g#;~6lbCDwYma|t`f>|VOuJ9ol21btFFryM
z8s0t!a+Xi3Uwu*9>8BSs{kDc>GVk;vc#hHGvnw^Y|M7O4ZbaK^GU|K^=d%wXY8qCo
zFEQk%xPr=LJIwA=*6$AL?$_KiFDfc31~^}M|GIzEhma*km^KEr08x7-m{982E8xg$
zvPm{$yM;s*X;cxJ5KK&;$#PuT8q6TUVEB-qZ@cYKJJlh$cq2BmMFSg`Rm$Q+@%ud;
zUJB`7cA5V^yv-$bMbM0krw$3e)L@S==OnjxbWFAUCQXWm6?|J;`${u7P>C@06Jl%}
z18&5=Xf;pDp$xr^yYt8I(|U?YPr;vzrCrKeBW_<pt4_vg4-H4peerjU`U%%2Fa3}l
zSlwaEI{OA-;&N6@16&LxU(ai**3Q3PoP6~#w$?ucHO+V?zHJb1pnN0?)yvV!RB;}m
z-P}_J$zF+~<}ciLW~jx8UQ||9@f;v1Fd&2o30$jrs4S&qE@u3D%6sl56v7|ywFxT|
z48p>~Pzn%z9UWp>=$93cHr^lTzIp@&O2j~B#NC?g*A6}fOX{AlZobyE^AY-DU&p%U
zP^Dw9)cSKx((FYSr##+`*F3fB<#1vI<G=t<2S1$jbvir!d$6|jaCRooKn-!yA3}*S
zbxr(*;uZ4?RySU}?NKTYObCYkAw&Nv{1J!(E%iCOI;BiF$tBjONKtnagFC)nf{?hl
z0VjDO-Go?lVPRqNYq}nnl;0)+{sEp}@2@|5REUm+o+;=4u{YOwllJI`KyM4;Yx~jQ
zbEoe%jGKvT2lFS9hh^r^kEY?+k=&}=%Sp+OYd9D(e3Q(jb90jaI7!{T+DHmpE+;HB
z6u$8ObrPqqXO%~$oy;V%j~o6hqPA<SJnbJ81fQ0cmMY=(Z6~&&N8kcE_xgG=ffE0~
z<<VT(f;`pVIXQzWN$D2ezfUh1pJNM+1djX^wrr5wCA3xKON!$dFcPg1WP?e!F)%P{
zimylAqAp`YL(q`|+z3-49h-oB>0y!-6MdcvJ?@(28)-{iU88kAduABNm$|<L63Mdp
zpYF8hwok%oOhZS96L^`Y&e=u6*3RzP{l48tus|*(`Z2d}WX4H>ss~lM<x(G2e%_M|
zI2^H76+8IT8*ttuvGrrY6*cJ`C3WZs;2bb52Ys}w)ZGG?&*0_++>D*)2_YuBb&5;d
z9|6MwG*p8L%P9KoTFu$n8R{D~v7o&?zOqeuSNKH{fz=VHl*`J>?B?9XZ+*bGL?`z@
z!n2W85I5C)-)i2c6!i42yD=Rl<;d570O%*2oSei{rLZIORKe7`j?#=F)2K^zx8r86
zh%<HW-!IwO3vgvoAW$kwj{s9PZ&grm-Y<Pdf+)Ney!A8Hfi^Y8tw#)To^A|+Yt78{
z1Spu#CH{`lx-~LhaLdgbxFFkyV@{}g04vbGq+XafT-kPNeEhU8<|!$H!nu7k`$Q(a
z=k|ZCC|RbVoq|Z$v6&alI>$3%ARdHac$hXa8%^==E@yE60E$%Gq(-q8>u>X=DH#JL
zgi%{vkN6*cmuDOFm|!k`$YGTcvRq^_b_fMB)HWwzO!M&af&;#Xw%7O1c1>;V#pzIG
zy?@Ep+SHlORyr8}pxVyG)V0|JRqqz_oBN6@sG<(o1WT}1JeOsFzJ0uU5AL3o)zu`w
zfccZDiw4fFnqm|@3#Ii1G-p!j0h`rJuuw8#OVA+j*J*m3!Y2~6wl}W}J8XM)nFO32
zzzXd>`TO_DlP9!(+fAQ(#8E<*(#wprG4Sc0f)@EN+-sWb@xT%{6H5C5+G~@<a{t$@
zqjAkWZIjd4YiQGOs~ruIjsu1x@0;Q#(#yOLm<1g&jnWfCAyJw)cl+PDh|AUBS}pl%
zlSShtrPDXHPKh`T9x=-7IE_^eJT(ps%IqQwL(>h`MN!4@IRq=|ehCeYG0155|0wqk
z59^7i(o$@(NL}{E34Er69qCk!y;Q@^fVp<1_l_j(RE@_PiY`UX86*;*3P3B{@xj4^
z{eD$ci}Bs+Q`NX@*Su!PD-`Pj%0pd(lW6(T`%J`tMtYwf!k@x#I{eP}(o1Md3Jb@|
zExX`+vR34;(gT#{V(Q`~KxEuGSS0`9!qEv`!08S&K|_9n@wyL3#>XZ3`O%T3G~dVF
z<vy@l1h!kvuOh`?W+UWi@c*5!vdekfR^Qp?h9s3J#9wV5u2u=)H<xo>#?LRi^X@N4
z!5Y71s2ch`%e%kZ@o!lsViS_?Io0jllS)rNr|K81U#4NYf_eGH<q-6>XEyw=#Y86s
z`1xJ&EAOPg0_YNaYX{T8gb!U>$pEmF?EO7Bm<k;q#I>!V?mafF3-0Rq*PEN0s4t$I
z{uJT`Naf1v>(AP*JB<S{1tRQQ?Ou|<9!MSJtJcH)5BuFilJ**=8Jt9@Mg*wS1L%%T
zuNDUo6n{Pc>o`_v3=0RY-DmW0l{$=nap_IFr78QjgXP*wiQ=3ow7?%*y4e70nwr86
z#1NRM5JjsyI~=>2?#GW9!Ci}LZ4#e|{<kQ)r%-$1u>Ju$74K)Mi)25;<v1X`?%qH{
zK+^lfZN59oghz49u2o;>i-TMWE2Buhpy9knup4XOa=F>dgXEuAS45Xm+;Uo8g3?Li
ze3$qI`Bi()Pq|5NqtXWY`uGx`EaK8!2Oq<cNW;z*{RDY=`Iy4=AJB`In0%#0DxIbp
z@`C@jLTSh{S<w+uhwe`UX49#eCdeyg7Q=<1w=9Z_Ej~k)SQEGj-LGg!pNltlyi|;j
zFx8Km3;Y-)%%0C~@d3|2I5=2S{I>@Ug1aQc72<~TYa%I!>zmw-3JTV2)ILL-egplj
z3t4@09met4<602;`JaqUNsT6x|2sj6WG`O}zx(>Ycz`IcM^g@SP*s~w$ooB}L&7k1
zyUXAQ^BwOx;BMKfgmh0o`c(3*4O|<4d*fb8o{7zSFk?oOv=h4<bH`z{mK*7yXP2*%
z8m)p>>bL)I*|Tu><<G+4$05Q)G#@_uNeql$E&;VDf<Vm~P&;7p&Mxi#I@IFnP_(WU
z*KVRpHs~JD;07r*5G4NJIahZH6SO_pCi!teYCH}E$2YV{f_^?~Ud_p2ktM(yF*Y`q
zN{?Bw(9-655!J)X-OGl_*@bPF;3yR5MxBsl)ylw)5Ye|}kkdh8SW=G4170chXI;!f
z)`a<Y;9G0zOfb5yi$z0w(~~MuujO~m*gaMkd+Q5-@6;PmqLLxrX&2C<`R%k`3zN+N
zP4c^^Yp~&8{vjk{K*lP`<jOcB%_zW1yZ49X!t1{&4Fkm)TQ<3RV3p!uQLIEW(Rz)m
z_e=Q(uHrq<>|2gYWO{R7rN5HQEk5uoX`DkkkLtvuE&8R>fg8~|U#1Igd>o2c%C`_t
zTB~7XWQ2yT_>cq_6Fw`(pDO#3%qqRSNfQ|xY{(DWTb-mEvX<I=hicIGydw_}4`*h~
zw#s^!YL6y;m-;&TgnN;5C^J${D^N)<*{u|WvRkuf7~hxn-hAQ$L?t01!9q>s-%u~N
zOfLk{{n*F7nrOiEJ&dM3BaR<`hN5crk<iCj4ROop4;uLtp&4?|R-$#baC2>in-zpD
zSzT~HH_>y;1Dl4MJuTk&%r1dcuFs>sCQFK%AXkH}RL|6>Gx^Qrb2Swt5#Y4JHr&Av
z1qD?_XQj~N$xgBohZh-EZH_^!Ynz)|`RZx(YrtqxC%`o?YFrhF?Fqub5md1->H9`@
zzf?5w3-kScf5olpdjN_nKfm{{l>GVVxonUI-ZQKyj)>X2vbA1ngJql$z6I0O(M~2e
zvXT_<Y<%#7H9~9m5~au^QJ*1ZVWL%Z-VlwUatwOh7Q&(~Ugc_|;<kDGW|*0=%9HlP
zpjI?%&G#~t=5Eun)?I8LKYnbVjtrda=LSPgma)CFjm>i2;aAp0%EpUjd1-@j7kWWs
z_V{0wR!k~Jv3BOE;ar+ms-2}i;9syw-wl1FpEj)VA1Y^+V>>ESll=YjUL(d5{)gJ@
zR8%>b+YeW~!=y?1dGWJEhTPtne;-iP$}r`PzC2)Mq|4&>)}Ek4efndNdzEf<v0}mk
z0M|;d=NB4j6})b))gtuN1XUFk(<q)1H$eNROQ%bUgK$^Pj|i<yXbm%&^{*BE;8-v+
zF3!j>%fI&mwd?mE^2N^ihcd~Apc!xw)?L#T=&6k!n|V)p>G{CjH*!~4)peO=MBA3E
zo6Xqni6*)V>#gs1Xr%Z49vR7BtI4r_cwQt!&)f9~jL%R_q4e@tw{bDipMJe~Q9_+T
zav6JjSu~p!FIzD0I2R;sdTg)4K~l#5k1ZpT4HM#Pz2!!Ge8-Um>eDrfnO4_qVjo?$
zb=e!Msz;Gb)b33EgO?a?2T<T5PC>ma*i$-FLj7r;>AhaV8=G;zlvxCXg%@i!WooV?
zbt`|>SO-Q&Bl-_)#G2Eex~G&oUPmw^Kl%(wY<~W4JAT^RZ6sWr3bpl_zC>hK*73J^
z#b+9fbG>`6`d8xE<9}v+vSV6qF)%Gko~d|6%7l;6f;og1iq1SRkC=Aaoie^w%x-IM
z$7%Ovb-McXatHzG6lP?wAZTX*65upEVZ0%GvknVuJ6pqcZ?U@<$`rWbB3fsa`?Ofz
z=zp($ztC|~yUweb=;~AFnsr=t9d)wVa06S$9-m3Bl(QIwqdV7RX~(T*O_2kIX3_aM
z%^i#L7Y3KG9MYB?4A~RJ`t1_l$Vtd~<LHqftl2G#dE88EHN@d9btGhL5#R~NZad;D
zzx1PJ1N)m8y`I)JU+fEFTuh*C7JrM$Zh7nxPFKMdYStX8#s2w4*6qAbrD%g#e7rd2
zu~O{>52VqR@!!Shb{iLvjewhkl1gGYxXf`Gz|g*9CiG(^Rb+Yd<L4{Q0k6fItM^JQ
zFomfx0^gEcSMb8XkTG(;l+C0+MHYTHDLHxR)_@WBZ|TaIW5>=q-!cSkRv>?)cfl2~
zC45bL0Yvs@4eW5xRn5^|cnc?QtgoYhMiAf7LD1or-;xBlLEvf!=m>-$fVYf%ahc1E
zCg)<5N>_c&q^(vStC+c6?5Hcelrsl(O!U1hB_T;vGmvpae*ZNfYa2%=+S*uwLGE6L
z{?|}gc4bAy4}LRRf-uMcfUBaQ;9px;PW|#8Whgjy$~g-QRtH}tGO@)fgf!1QkJ3~p
zmBn2sqM|&)#p=n3D<}~6Z<3bnYLdh_hANLIxw}~ZlhsmBYLE=7M}T7$z^hs>PjBzz
zNT^K{xD0{p+^j#EY`xB9@DN7CS2{2ETx&p%;~_pC%Nl<LlkHsDYmWvV;_zv@$NxTg
z_1+)9LY<GlJdD*zc?jz`yPnZgA3n!#ZkYr8L~6ksbX@nc;xvAHT(ft|niG{_eMjEl
zdw=&*28kn)K>{2?P9x=5NW<U3lA);gFzG1mOc$WwP?Z{feR>8JWA%H!%mu~QAK-?#
zZN=*}_Gjabuzd=nd{*B(@+bc;+6?_4%!H>`8A3SCt!^Y(=3mCdZM<7lY@1}8G^rmO
z%3*|s;a%a-Ef6T}JdGeJ0q1`vHF>UtTIvse7NKsRfJPzF$hAW?;IAhBbYC4-aFdYz
z(7bDP=K@(*d0n=Ctis)dg=|`?f3>NBA4&B-C%N~SU^le=4`>u$bn#*;1h>8{Ap3hb
z79`VHOLFz)y=$*`XfuuyV6{YKA~F^hSw{o4Vc>gaDJc{KktW(Ss3i@TDf)KX${nBz
zFgBjhAjJIlU1&UjwUUaX?%5J~8)20vhOPXycRxIY_eufNs8rY-0Xf0n%Xf(|Wnbtb
zCH3_*Ya|&9rfD75>jy~TH1kbTU_##K=32WZYvg0<-T4odW)Q@Q`=!M$Br3Wr8qFm*
zTvHUd?)<tN56#eqyGwn-`dLzFY@F7LHK^tpUW>h&ID&@i<m4pr$uTa?WuUG=#DSQ)
zyASw28MVztYXo=Ft?F)o<S~#kJ%`&EcmLO{VBEQL2iyb_dShd&zdpXq93XzJ6E<#B
zPla3fY~5Z^h9+^NNLAO5letCk%Cy6cl{lAwQIUG995Ty!$<|1~N_HZ8BdU_g{r%9F
z3jx&iv>k&`QjI;{wR(K9JK3prLm2ro|5}OMHt)axX9kI8wNcN~UV!<;O!Sb$olN2@
zBj`Bz&6vsI<MSZ~oC$sY4)-e%1lL6$yKZ1Vg#W2M{X}Z-QsOZck@#O&e9)>7BHPDv
zF}|w5OH2ZwP`Vzv^PI<zftsLwZU<n!1V!erQx^v%0sej1k^dE);#a})oLc<OURgBr
z6$MQR9fgPDodoerd&bJx#mKB@1riBQma*J_Me5_=_IaGWjiIWyE;6o7Aks(;D)yPb
zWd@aFkJQO}J6%AE8Ov;d>~|7X$ugI@HmLW@M_Jw}KOU`E0TYpNh#88wgm3zQG%3gO
zlfJe#SC_fI&g&1d88VmhZi~I{!FH1q2`K%ZfcHN45oMrYp=?-_zyPs!|Ep6Z&cztX
zp^8D&O4KC969AYE0O@1>-_=4;I1bnQR@o*&wb(cG(a<_z5N7lYB$p0T4Yv}zTIY5E
z@(19Yu6m<#tnQbUjVG)D%FvNgv*vlmScQ3T2?wB57l1n3CRLiZM!5Cfsxr|2-&zYn
z=u;oWynMOgjE^`|e$yk}@9dOq#Z`*h2odo4ewcHLC-2B>Ji^P7sWz`X$S>A>6~CVp
zYqI=O_A^%H{bl0!ff?;(Rlw<h^z6EulT*?nFg?d0bwC4hj|dkExxT(WKq+R@!PzYK
zIIU@=y!^XK7NBMD)4D<OzslPj<OXn1YnSd`*->PgcjcU`IoFV5*UqzbnbVie`0-A7
zuI8zFIp<G&<R@htOR)kbx$@V{vS>~D;qZtZWMCGdC&J}icuo_**##+-36@u7{iIAl
zaJ0|1slZhJ^z1LR{%b{_dY;TYzxEW`_nygfFf~72FKgE+(%S)l@>VBDNu1?Kc@cDL
zaK>5wGRG6VUe^)yzePk&-A+kEGciMzAFXpI3HPgUsQQfzBhA#<t`j$`@B2?MSuFoA
z7l88Vb;KxP(6S@f?mZR5YEmQS7n^}nC1qw#=O7u=%<bA%^<a~}(zZf}mq??>1dI=e
zV%a7xJb92Jaa%|X1}M1C#{KHlGQcQc<~FQv_dQ&HSHA=2{nMRD6G1^iNO$;{pWh+z
zeed-C%~W@Qdbwuv9yoZXWBhMCIl;Kz?h>bvM^&#&M%?#A@sS)x;x~!CmdeILwELMv
z6-MvaC54)e{29k6u3pDt4`v9Q%}pxJG*dA&Os2=xoO054HLj|v0w=uZ*Xn?&&9lnQ
z(VG6VL=2~`5fM>QQ7NegEsT?xi(^9M7}&puFDI>`f(F5TSIpD>Ea=oTS>ZA?0<=c@
zZ(od{O7gFD6p#p_j}!%_yXp@1_O-xH0W1^UDMXF4D2_2TJiL5sd1E7<DgUoKH@Ii6
z#$5it#nI>CpKEV-zP+z$Aj97Bts8?e!cr;8B3zicaX8vEDUN~fJ{~4|R5LMIl7;<U
z^`eHKOM9OyD!gsC0Sa(Tw$#^8xRdd-h4hRcs=1s3yWZ<K_^ncLg;UOy(dz+)iA2Qs
z*#1&ee6-rtMo(dZAg0ZsR{&)6pANz~+?wLK{|gvi|1PeoBE2$mMPE5}=pbuQ(pKc>
z@G#2#07)32_1^)O>C5SE7Z7l3Lj8gpsBRbx=a&%}4md1aRaJX)RFY|Z*URAVcFViC
zC33F$DE|-&q`Q87kJfvHrcm`iz#1wx)@(%P-Ka#_UiZPyj#04TmVicr_6HfX_tB+w
z({C)_nNir`cI0T&(9nbsIoVfDZC#Tq)5r%I$?x)_)Z!J7&)hdlIe{~xBKZA9-x)nC
z4vaf#RRnL}WO+f5iKE@hgI+_N%sv~Cg7MJ~r(c{}|Mr;MIY!aezm2`LV}J+xdeKDq
zbo=KWLKGbGW^Br}i|gy3ZYL@#Dq*L|x~FGPwoJh+Q|IHxN?IU%(y8093q&J8hlfo#
zbf?oe(zr;1<%G{t>e0AcZ?5#&3Scy?6a3DSZ|#u_Ad9<vrzbWGq)?g`R7q7mE&7;-
z@wBIcTAM^LSZ&ogh5N)Y4Fj3v71CEc#u)W(NF5kS`BoaT<P$v?NL+Af`jrel5kB_K
zBmI0WIN!cB^ToX{x@XSP?ppcjbJ6$byCWDF&`jNYh%0hgrQhgxHi4SKT#<eC-C3~u
z@X=k1ijGE?0S_0z0o?Wbzfd0;sMA~C+tV9WQ|CaBj6>^<`X?I|{dH}y1AV~IO%dv|
z_|6)RVciWT^2oC}>2r$%TQ9F8xcBJq|3Vpo?FQMmpxj64icu`LB$N-y!j6A)1ODb(
zc*nPYGr~AVNe2>gal2zOS^xMw>=#sI>)ivb3wfj&p5ni;AkpBZsNgKj_foj5AoE?+
zV-@!@Ci{$OCBxMpWWV`j?aPITaF=VOL?`d$V<af4pc5n)tr24~yi<O#`AS0^IQC{f
z{+HpdlCv~|Xaj08m#`kvP?+7jmoRAXWULac(Zl}v783VtO{1inZ*fAX)Ug(HZSSnp
zcGz)?^gk^^B84=3XB4xEDw0ug5cO@Uk~^4)5s0+jWF4(Q;)IF1BHX|xpeIAcG@zU;
zuwRTD&?IFeBQ?ZDMfF%oO>1Xq`p`O;;y}H?|E`6d{@+aBq*dt$Jbd9Dx_n#a?PQBE
z{MrVstGmy8+<Ruk)bT(=q`<^4EZkOJG$%TFnKCrI)f~=4O{*tBlGr9Ct(V-}(za9M
zmT!Kb&O;sv5ITkNjK*Gr)DMS++2z;cJ$aio7ysPW7dW6&J8hOeZANMCQRF~Y+>_^<
zfE#il+X*eb-@1GQ0KY>qvtj_Epqbj(*z|Evf8pyzq=<086#H(~AEEehy>YY*OLJ3G
zNKVBI5M13W3!JquGRO7IG2+IK^nYw(ZM`&a;_&b07bJ{^2N9ZG#&=4;^_3R^HBx2C
zaP89knK^+`@*KaEnHKp2+72uHJ-;`$()lz%`~i0X8k_--iAu-lIk>U9sTK<gHr-W(
zj7;`u2GvZh8%VX|7DyU>=`tvz5wy3$S9+aWl&GE8adalW^VXZEB*qr2v64o%DlnlV
z&=l?}S!uA6BBs#R2xymTYI~SvNzp<jU4;sg8c7tS7kmTZnw;dVi7(^t9Ha=iTvq$_
z`~xkW$nyb?=Vnve`|-U0X2~YHd<4{NLio*H*C8KicE=lNC`xR)>kz=FZOHSx^*uLB
zfnB{>;Ks8JbeRV3QPCta%Gjkpb|=*#Nt2}Y%|i{hW}F>9ck?%uJFt?Xqu0d<X`dKR
zJw~rfH}?3|$$TGAt^2xk{iw--!hys>cK+V%p1yaaCy+{8lb&Oak)i{0pfWoK5bXT?
zocZ)je#`ccA8jSam65wbPf7|nF!wSd3JP*;&G}SOLr<d}Y6kQp&(^ixJ<uByhjads
zA6LxIv`umxlkDv(_xrGy4br}&qr|R-Aa@a7QVKk7v_z(ZV)L>uP!eS)y*%=~o!HDE
z`+~FUHPcAt#>XV^+VLCb<Z(psi?tt{`4l$k*LuF_86iNN$9G4CK=59aQn2ouCI85~
z-Q740T`iO`<$JMIwgAYu?^~S%fDSG)$Tfj-LRHKIxLf3vW%U#58K@Nfq3QtLhp=xt
zioJz&gQvq*H{bf4A3k9|_#a%`1+qVcNUfD>i4{{z8nH?8jFLy8IvM}zd20aFwU);T
zF!}DlwUE{oeT9HvbF9kgQsM-AL^=Gs$;ru$S`)vGZt3W#sQvwYYEkD#!R~4=etv!p
zaP5|#C^XWey;KmtWTV`;+`Il!i(Tmp$8cBbA}+~{AOjq+sD#CvA;Xe{aE8;Ur<Zd=
zA6~6j>|d$(upPIYlgD9ti|-kIkx}*TeE)CH`jR(^dVJr*Z>Jr(6{@a8-OB=1k`g~V
zbUmz_kVm?W_eOUj;NlE%hMqykiOU#3a%3B2hk?E-IlC9+C`7WTV1aiDKhs}9ogV-P
z%)!YSN{<h8)GPrm7tZ7^MZ(bejs-P3qWQG!-#tm*_x<~KP|tXpFRjfnraIm!d~MN@
zlgRWq`JtHi_Ir^L=O_?3!&sy>eZ`+YBu>YAYEinsC}XuXhU0axzfTd$m-ql5rF6x3
z_xQ$2BXv?@PE_;vHW{n*s@ds0;}(ay5m)|Z2eCQvL18x#z}{8g&wuhrQhFiIh_&N6
zf4hskV0M7{_Q~0QVhzKiCIQux#{Aq8->K?rX>b)3R903p8=1PogE&~|K`1>iDoUZA
zPPVIjvu3RrWF`Fgd*Jvi8BEB9P8v$*<(kbwU6V7oGPPrtT&qzO2OzVP{ip~X&^NhL
zFQMFnP*o`1jPDr(jaI7H<R4&x=n5kxJQu6e=I7t2KHcw=clt6D3Wfd=Flg1gog9Te
zSXae4flx)>e8MVhQ+>}ij6AC5@<g>OKl!pyy7v>3xewx_oMz_zpPBLO)S`1fjkWJJ
z%*^!k^jL^7{r13tpI;L#PH0YO2pZx{(UgN7;JojsP71<C!t4I=U6u%a9o8cQYysJD
zQ;;kI+-PNzuqFB+L+z)>goknT+_R?loL!d*PyM9mv>Hv+Ir?m`3T2;{<Gpc>?==RL
zb)>$&B<IspxsM^im5rYgxZ>Ge^~EB|3=ItvRj*Wc;4<{t?AthbO~JRux@I(e>(G1`
zII)=UyWb>sQ2`<ehL7`wA3uJKGJaMA00jdj4|lJflM@{k6@VupuTaAYBCE;yw1C|=
z=}|9Vo*e@93Es?K;1wSo6^AV=C^%oUNv3PmH$J{DbkYmfNsavdLX$I;n<AopjzhN?
zg3rEwl}_$PZ-i<tdUb&(+^0<erjH#t_G<u^914o)xi3RQL+^BQ>p*a{M@KJywWGY~
zn>Tl!;9|~ZW0_dhjWv8mo~qUdsKZv=3Oro|?W}^ob+eA{<gS`)lohdds;jimF^6Cy
z>ZJAeBV{v8$Aq^luhr|Szo$<!<tr#yt&!54cGOR(IyUOBfD<j&uH?~&D2&G5272i?
z9UnB<V8VV)OvXO)Ph`3eynLpf{l#30Tvne)^>})l+Y_1cKVHunW*lzwDzg#2lSg>&
zYgk*~l;$<HX?wuDK?8#KI@YSnN(i%j9!1#=@yR?|#XgVz8pHr??g|Ais;JxRm7ePF
zCkek>T)mitYBQxSPWN&v;w*i-61ZX{cfSJ&0PNal-=j?s0;6<qP*!v36y*s62o)oJ
zevGP@pmp3Bs{-C_EkiBu^XG%r!jgu?B>N#Cua1A$4Sb)E$ClqNXRO8$`C6st3i5<Q
z5L4nK06A=+^j_JtJ(pU`i|T!ke(AD1u6Tdo)Q%Y|>i_+=k9!e5*+IiU80hEh>dK1G
zeKvxkmF@C4)vKy6O_F}U?)aeFXXgT31w6fAoT&=>Jy7+5VRvJ)Dpdj7`LoX3WXZul
zZV$fZ6&F8#5(f0!pu+wBidZ9_>lOMLLpPnnvLn0=evfoKDqq|NzbE`)x77xHx&*1z
z9%!7j)K->z9RRi&Osl+vS^)g&sV;codE~E*6K1Y3zU9DH>>NpP0u|wFCYpvs%D65|
zIdz9ID->j)##%A|2luLh`(8@W1(cC>U*=@G@Ot-PCNbPioqdI`7h`J0W=HiHwg#>~
zRogv($#p=1IuzZ%?f%;NA}~m6p(iT7;$62*(OE0klYp6wp2t!WH;mD_LXwR0j&iXc
z_qo^WMwJ9bNc$6v^NLKFn^QsB2C`W>auhB3S_W_{X|NHiBn9x4LRyunA6;zs>bVa(
zQiqW<EU}yLPssjusTBi}QBu0hFh6eeSe_l@)egavPYWH7Tp9W#5X|7)>Ai^^k04kN
zOf>~R<!;0>=O=~!RObhx2;zzQW}`8<L;wh#`(oyzCxlN%J^b*Q+auX|Z_c5CfeNib
z6;$h8LA@<WC|;W2sA?!nh@`k_*~R#1E)?xPF{~rnrRh{i)IMcwoscV!&`?}f7HGrF
zVfN-Aj|5yxG3-jyZraSfo<K$Y@VnJs{yCX4D%|>0LYf*?kgE$cy_B!(VQsj`wJW8k
zkZ>I&aT%9^i;D|v<~y6K{*t}cpGGn=7!>opn83ZXQuSVo{R%$*e)i#mC`yEtX{{FO
zC|_TRMP1pO*r#Imlvs#R#q&LFZI%9Ud!yS#kM!HVe*Cw+N15(FbCptKy|!wh`QU1M
zyds(G7pxv^)urxw)$mC)dTx7eO9HFEbFTc>2PBnk#83Y525i@->j~cM$U19;NliY+
zOJobd?kdhOIB%4Av%!r~^H#a&QdqNq<A?OT^mdihrSwLzI1O#>YiU%CTSvO>)0SH>
z41-)p$g83)c>4v`jhiZc39Dj2K)}VY)Q!<b!$vjqkkKD9o;)8Y6<5GgL@w$O5{*N_
znZXSDhs=xMe>h>1oFuI@#~UA^WD(|cD$#whkS~uXwkhl-W`+k=OyIGF)=b?l6_i!X
z@9xTw!`P6A@q7wf-${%2BaaHwPD64%$!%`s@EI-w2QZY$&^s@`wFGzV+{SbTfngSN
z^P-?YY`==4H$C^45VgvWk3Tcrhn`K~%C9kfM1ULpeb^{xT2N4sM!w*y5&2VcX95Np
zV}3oqNUD^z8t8rBlsqBN%E~&kIC;^FX*P?EiG`PfQG`*@TPQ&ksZwte{L`1<e@xJ_
zs5Zo%v_eG~LZnU#a6slj{#DG3{QQ-o*jSn~Mmx13bYe@&$%=Wu*s7F0zo3o|cjMnQ
zw5Yh!iv1@CrsD4RM5!O!+P<?0=O3$N%bu<1aBR1vR@9S~8`^a{S9o-wW+hF=`AtlQ
zRSlgShy3^CPjJ<Ui!moB-k)s${g&&dj0DNZYwpsYzz-BA0t`}cP;Zy?g<Sj&zN$Uv
zTsnAFmiBy%f7i!vLpKQi2!0EQSb?}cQ%|~Bk1cF8EF|=q4RPBB-58YQKtJ5-l6a!r
zucb{!q39D?=er+*92Wr>K~L0((552fq>VsxfFxBK&T8=Iz<TK4v-1X_i|i!Uzn+^*
zB*79YM;-R~)Xj_}>$SG_=9%qGt-}XQ#FD*xjEo898=Ns1jpFy{LoUl%z}|S1I|W)A
z_ISLK&4@6q`@Co}LVt>O4T92a^@kuDd?{_UE-52g<9oiVPOQ8AtZZi}J?4EkH-WBl
z|NQ!aw-hpN4$RHGfQD$YWY&vh3#`ApiFsPr+!gyqRcZv}Z;8ecBqH(-1ek?ww#m#P
zKin}|D>u&1pUSCw*03;76Mr+H%FF)rX#{n*?*0LlEnIv%zY7d{$698=DJkf9Sa5($
ze~h9}xh(YcTGX8>TUY=Srx?dTNI4FdGQ=x#&Dx+&l@OwT=+;q;!3gPd^Sa6HNPLFO
z%=*{edw+Ha^>v`7`^FIhE=o04E$+nYg54g*PA~t);ctvMRBGfOzx=H;w4`TsgU4S+
zaIV~ww^lRA<DIhA6Wgj4%-i%Kc`T}IYV<e)>aC=Wop@2)r8zS%o^jY40QUW`{)q=<
z9Y9JrDPE`<w2HjS5WP!B7t=lms?LWG;ZdeSng<t(Zwc&ci|BDVyL!&7<OQizhP<vs
zd667WbRDw=GCWhNb8zc7QDEEH+6pL35jkz}yA#QM!iHFnG#Q!svTPCHJ5%erF`wQQ
zt51sGLs%_*9qW)Zja7erL6yRu?RIm%1j{KlN?uKZ0Q&j7I5L^#VZig#6|<$Fnu22w
zDn69z5(Gys`C5M=Hbaw@^l*J-?{u%%FyXURcM|l>+^aVKG2-DosSmD)W?+ACFAr}Z
zNu$bC3lE_>39Uc-vE%JG<8&AI(sS8Qj}*HWT-7EghSZAgZP6yUjAgcN?x#8Eyj4Pa
zd6nV$%lNnM`oazm_^{F?hRHYg+}IH<{EQpSZf%o_%zy?A{rvf=+e&OhCFmz&;XG|X
zuA9GYyA%aH!^lVnDxtreQ&&-0Czb@wa@SW~Q9crlN_0bEZTQ4bsw8f!(OYDOW;<c0
zHp;%V#ZpH&ef-xijlJj3WpAsKPTY+4sQ9ww_thb-ON5E@_ORIN!<gtHqf62!#lGK=
zI?di*mz1WaCP-4TkqgCMV~^k2*?Gjj^6^(Lw`T3lPULw~6)n+|-giKVfCLBh{Xj;o
zk5>y2;Y#lRyaTU<fe`Pghk%eU0HE7(5MDvg0*qa)ch-N%*Ubi~3z~)aySw)%-gI%_
z;qUg4AjJQ>MBOM6J=Z-V4ib4_=>{EV!WL?Zb8OL<j=xYTb;|XSiz$hyj8!g`%hc!R
z=WF;}*qBwBx!txZ6)2Bkj=n?LJ+GX+_h+4aWLWyV?L`g$n+~Fdk6(&D-|NDE_r=9j
z%pu@$7@jrkMG)U1HVzJw?^E~;o=kY&H<meg%ts+Cp+i6}L`OGgJ+<>t)8D^d#1=|<
zAud1P{}q%18&-h71PBY=P~f_CR%BVrY4O*8!A9XyXS@w-3YSfi6-C?r-#rqV8qBu_
zZ<e?*5XoLmMI3Bw(3uMNa1Dqom*3S775VXTME1R!=gD6X=ZHmPgrOy(S*<Ed2#F!M
z*unCD2W6H;1$&XFP*5V<gC$QtFPgsvAqlEk0{j%EgM&gb0OCivZK6=yTGnQyl(VbS
zv46|!m?~XMCEaE(C6Q&Lv~U?77g}D<TdPr<+@R^eRK13o0UEK=v4WY@KW1sEW@f@j
zyC}ljjyxo71?I9oscm^oj?ZKWOEE|TUDn7N1MB06&X=ZgI|(Pb4<BM)sE;@snNI3o
z^n7|CFFBPusm)~lq;;72K9JYJ!A!>ELJu!(7u{hiqsD%gd)Wo0HQVbV1<^M!GG%(o
zOvIDMF(7O3Wj}Th=7{I0_^Ha~L21gSAafcYZ>RR4N_ZLV(ym=M@-)*h5~D9=l#O}7
z9G4+T2C9&Mp4})<CS%Xc^7<K)c0(#<b#D(&j+fCxgM%ZUzh$iGVxv0vB!$FyzmUDO
zUviPa$e1G%_?k!~>Wm;g(ieVP`A5I|%Lyiu=S4RG$wm)MKi|*2OvCu^U^Eb}tNTtM
zG1smYX2zNw_R(5cN=iynQdz0iyoZBh_K&v5$fF_(Uaz+!G&ls*Z-@PFaqu9ODU?nm
z!`zn<xA4hZ5P#p$khWm?wRg+)Qs+&*fcn-J0V_kNCMs5I+~gq}Pot4kq4p^Xx5Jor
zt|c|19)3Y~+qhpE`SUbT(g3--Lzd{;=aF-vtn}n-$!1DuXeh`~=+xtDSFX`UwgSzK
z!nLnow~m=~t4_&etr1Tl`J7>DsmD!-#Xk3RuxB%|Q*lCJRH;JO?eY^&@--XrOUh|U
z)Y)N=<J1xZ7nO!Sg5Dm#8KRz1wBU={{-^AU;d#uv5t%^BgP~iwD1(enTdv@;)-{_}
z!kV9xrNHvd68|OXg{+ZF3=&?ODGT4jtw9M1Y;j=KeQcyong|8H8RP)XN`gRZ^7(l*
z@Y`_Ja9w{W`C~+&Whu@z8pHYRxI>ODBv;0Eu5pm~=)ZkC5#Jbb{JG54wCIby&3CV1
zWpDiEV?U|-9|bHtDoQ_!4O7haGFf|W1&ZL`(bh($eI6bHV=o#<LshuN!-k)To})}N
z<j$O^M{JMwQTi3(pFck%yc<S?zw5u6a?}s=oVfh#=P%R`e<Jgx$ew>}ld@&rcT&=O
z9~#jStb(#i1~!!u41RY5slM9z6`mzgNcQaZm^d%<H{FT*9E5zqbSVB<tn`|RXZ)uJ
z4Q?OCuYFq9K$btY>c2fe;C<^&hcmTEwXhC75ga0MAE-*?A~#W)zo0Kgdk?=*QsM+J
zFPJA;BjCq#t2Qdr+b>{aAr1#z>}Y>qnP9r!F!=wN?{1pjy=U~eq2Ja*ubrqY>Ix2d
zqGxQcH`z(0dqvi+1}mbVKf*Yrq&yV#7xr=uWGSzn{xv=S+*3m>Vry18#~=KM_ezTJ
z(Z^#j-?o~oYiqY@0PnvBQIL5RO)f#Da;BY-s*aCf$p)&KYRH^1-+DA!wEZB>v*d9~
z;)|yd7IgI(GT9m~)HtGJuAEKuq3$*o&y;M`d1qHJf=n-8kLcOYCU`CjT^$6MC*^1p
z^5c`lw8JAg^^vZ|iRjq^M)a1H-qxYgu?j775FM`4&lGYRaJVViP_U~^eY}@;Htzpb
z-|1TdecqSAXHSg^^z7u-!wlr)DDC7oX60!lqAkeAqSuD=1+qM~?<##JEhOikEk65<
zD>u~nx-?{bUBpY;OAP4#xez4<^bqHf`LlD&Nw-b0txMtQl1u)ROIPJ$IqT>I{`j4P
z4^njU)A8<gOFaKOcQ6olFE2xrG$1gLQoldDK}*19p(91O>8KYb;E#K(6!;J19P+Xf
zhxUW!iZZcl%r)6IUzvUS{Bwgm%=YXhk?SRX1V4&`ux0H4vN`1>tC-2xJH(luCz3Yk
zx(Xg)M|{%?Yvy~6Os+;GKE8<SC@Gv3QBV2$!awRA!WGM==F9IRLkVw_vx(m+dk`Wc
zViUrf$%K3_JW*^X6QoVi41LTZ{g6~Hyv;x~mOvdp*CwS1e|;f`A-?ZG9HU6~49YLC
zK|q7>>65@a<pkl|FET~VzJ<U60k)Z>q$ECzHsvJ2e0U*oU-6k4MM%)dMOa3Nx(7w+
zH>cJOofsM7dX9+KT?>G>FjS>bSA*={29R<TmeAMG$M!gmV>{8<a|HZg;3nGx&jEs<
zm_7i1bb-H81!cM~L_e?9G{ErT&_cFj!)|;@oLd7XJkxlas3kFVY6~pH*A#vw8TZw-
z=f6NVC5k9#OijfGL$t&rW*-hCvrtl|s#5&W0TyFII#(9l3;;$TOqWSqB9yO11Pu|*
z4Wy}i=;YyXpfFVL>+2iYni;ISc4mwBE>OLIXq~MyzA{f;t+c~j?aG_Z!juk7%+S7r
zz@m1sd%3S@yU95w&XTbrsFK;YE0U#L@CppqCSS-BgkdOYn5bKk4Vv0S5m~-XiI(HU
zduCcSW@unQD#s=il&t77F)=|#MwTr?4{{)zsfOm6K-r;pJvq;U6R{~(u4PkqLn_+S
zS6b|rpDijH?&6B2_C!QPFtSBE69M%3X9~j1AaKO4Cq)cJSoeLwGNW9;I|U%~3IaFx
zr-l?LiXfz>fVC62wM__2dU|pCXYbPpyuM6$YhP`IMF};4n731?APpNmsL|b&M~N($
zroO3XvgAYLlBS<1wUnC3Zcvf`N)q4cRE<vl;nhuJd0cH>T@hhn9UYy&s|~XyUyESo
z!HH2>={c-*c$>Ga;}P+K@I61<!kb2)Z_Z6?zbkNzXIXSlf2=W*dCQO#U;I07RM*0+
z&*UR?ef^*K!n4G-oq~Ld<PNoSQtP4|)C4ibb*FueE=EiPfmgtyQ#EGXv1=ApAo$5Z
zi2VxnJ;`QXh|Yr*6u_l;q5A%BL9?+%f$!uc$;|)L0x-tY`L+xiK&?@qm32pZFo<kD
z6sYPYzGt;OE8i6`+9_2CtBz8_M88f27<m$<yyb0!wieLyP8|CXuZzV${p?2(gZp9W
z*2(8}7VQN0UlaI;H-E4lg>mGLm<0qbU|T??-w&4MzdUi#AA5eVcq|i*4*{UNq8P@f
z;@0t+S=Y!#j-F`RrvZkh=@}MiN?1>RsNTym3X%p_5a<eY{sxfCE~DhT(gEjVPG611
zZvuy6P_YcqGEcMMrGE#+3(ZS%aH48AnX0}1@TveE>D}W_v=1pO?6&F>&wVuC8%mzu
zOu;XQhFLnc!I)0i?xI6`JX3D)Q^MzS9DxjjWLvs2xkGrJMEbQWMuKWDuBxOheH>J;
zorvbsDK+VDdDIk2<ep<pf#I4;hKH@1=V=2=mjP28LodsA6f*a7Y$-yu)nodouTI&5
zbnj!vhdT}aYfBUY1=xWG8sYBZG%@XB(R(LnO{UJnUN>|y8f-T<(!KV@=WIu8n_rk~
z52kgiU<^I30=cfm-{G5;P)sSajKmDdWwIGINH3r<E?*Wm511Sd{RwZ`%0KjRVM3W4
zQND6uN5k*lz!Bq0?+uu{KBZUf%8Y1fX(_+s&(6(VLJ4v}lw=L--(~jhT7`L;H%y3#
zkPw=TD0P~k?XPGW334uj3ip*?DEBGY4SD8J!+)BX#fsWA81j;|y`c2~yr2errjTR+
zjz<5#?&TXH|DDYgLJ5}gx@sM32at;6tyAF^p)~At)6Z*&%|2?vNm{YGC3szBamopY
zUv|3c+UcR}Lrd-YN>xj_oA~PwH=RYj=NtLEM%hc70fwG<d~|XacJOP4qVzn7_wfss
zN=9`wJWW!_jx`M-BX=JyxKx7Y$3Fd8O4f|pZjE?Pj(w8-o#F#sza$yPhrh1_fB@;G
zVK2Ghk#iu{tl^FHSKp6JB4%-hY8WB0etc}~a=@hC?*!t@C+wm(@H6xtSm(9muAQ8s
zUQ=<MaDiSN<p|fePW1qSg8K9aiVp`AbjH~m-bU0Zdx9viyn#F}Pk1G?e-ng-Kmx+c
z9S!@xlmx7PAc#soIk(aA{|I_OB_5Vk8NHFFjNco)j6_kwue{}3sAu_iBxByDCQq;|
z1YITH<eTAT^2o>P*|GUl?ggeCdH5S*5WTlJ{G$a={)*di3z|f3WD4!Po!fIMQz6qU
z2tLbmp-{f%nxr-e?2gP7UAI;xf;78wPI*)FiV`dv3?giq_x*up4ueeTz1JdJcOOWs
zzbx~=<-%t&KrBHlJknTjEBTZ9v;LWAmMVR;3)G<1$2QLZ&HTzzKf$tJ5MJC7rDhyy
zbyid-mFpMuy-h<=pNKj4=WZjzeT`~#?|wmmyFHD6qu4MSNeL@Z{3<1IX0X~pH=&vP
zfa~RnUjwkzRr{7oN?ic2+k6^H;4zVUdg^We%5ntsYNuNP7bg*99I*D>p*fAW+`XC4
zkF)*Xb%p7210qiZRlGcZQ5yF$i5$d;=f0rjBMztjB)bW{8fm<yX!D0<2DyWB{`UTe
z<wKt`5h{DMY-xWXVmniP@RU&pFHi8|_Y2x4(HiqAs}I08v?!xc>Ce_!!exkQ*Hl-B
z1PLh-?Kc~Q;uP9$IsBq!99A4}aTz~-RidURxr>Eo&JBF5D?ymWu&+MZqUyE?RePe{
zhDa>V7Ij%^!R=(d{!nRgJf6DkZvarDoMK=n-k7!qXJRtK>$dnKsP9A#tVGyt-a|$D
z*~|6wVEQpCGj9cbjV$_cpC}+-s0*puZRz!uoBz9|!#g%SB~p7Fgbi6S740iQ7p!Mx
zq)EE4<Nca);GN6hlV2EHMU+~)ZO@IYAsFY<Ga`bpk5~3MyP)KWX?N3F3g-iWEc|Y!
zR^IsIDxBb^ppGA45yS(Vvhx=;R*1IfuV9TBT0=t3ax}(qo&?~C^64V@Vmbm>v5`kf
zrBxqq$s#GVFF#|V2Vr1sw=n2S3p9I~AdP{1vRdz+7K3dAjJkT-+6SPbquHGYk`O&G
zo;ZLgS;PrD(74vKJ6$^9XNDdpHUd{gR`Nz-8!N`~!5YXhzMh|-Y^B3p3#Lh{-ZYiT
zkgNZF>6=s>PY=B%+g%9YmaiVKa5w*$iE~<6_kAVjl23fh(nie&XQ71{64H!gZy&}7
zkf%<QXWCNCwor%}1<-BqvLU_WEM;&`X@RCsc;`|sFkR|fJQSl{-Be|kuK9u2h|Gnq
zw0afFUdZ0cTDg5UQMleh5y$kS&?9sAq5<NOCW}T~?28amxt_c932bNc;GKKOo#+b*
z8S=ZoZlbs}hN_a>ep_U?&gT<Z2cb4ADM3Jv340d)G=xM%5K5n_{XT$m0Gv39T^?|_
z_9lyL%|`OD2*HcU|IWzFmeJo6J>`G=8W`(sr_h#2zfPHGYkPd>V0zP$mPYHpB`%DV
za$d)KuBb9Vs0*ATU*%|z{a{8^<0?EO-jgpYZ|6_kW2S#N?L>0#0TE_$ciY0R2E7}U
zyGL6g?Fdql<5rITg0?gjt!WbVtwf_q<jTGa*rqop|Jd@v&q!0eX5^kQw!z(150C^Q
zg5s`GYK8=COMUD>fD|Gk@DLClo;&x+T|)~bn>XC~b6c<D8Y(#vrJ7B+|MX83e_#Np
zPQVuY^ndD4nDZX1PpBIR_P3s{t`~^Vek6;OK$TNR!u;P?fANO2-37wCyO;Jx9Avb$
zLtfG2(#BXb8SVfxOA?N$keu?&+@qBvuZU?UbrjC|d&C!n<{JXn^!%fw?`NE2uj4Y@
zEQz}E!NC0bNuC>ekW6(=_wS*hw6B`_B&wHvMjlail9X8{seEoMFd*vlto5Io^bJNw
zqUSnYr!;l6wFiqMdsdJ4u;a7Q!zDi^BWk20n|QjDO_!hXt{zD>uWoG6h}$IP2t6Eq
z?*d{u9^)E!a5Lb19fjw)61faLzxO||%;Fh?CGP=`y*Q0lpu7#z$4!I<g@tJEKYrXO
zYo|?y*S-FyB?HCluFAh>@!<PE(7|O0YerQiCMG7jy4MK8<caG6!@PT=iBwn_m%05|
z)6ANC{m09l+%_B%Wiv2SR`I_fRAPC9W~=!#mPc-jSu)GF1!w^v;WjM^Lze!4wAc8N
zmr35+$|xp9pG0MCd)B*rsBbNT#;7);kT-L@>2*vDB~GjYrm^b-&h_yp2Cawv-wbbR
zucr|G2srbbiCD2{i(=D_z9TP>Lpuv~FcxGXh_7|M6R<Y8iHe9pAUl8#Wk;g_og!dO
zAe#p~gbdsMUCO`QU^}LSdcs|h${#fvAfnFgzl4Ag?F=M&u%v}RipKaA>wouK$}{L7
zWJa~tx?ik6m1uTM(V6QAtjLG_6z39KM}9i@rXXExTTLI4OqdOLLbuGK{h_|TgqRjz
zlXTO4oLdAJ4XvKR->?{nZQN@o?kL&YCcz7#fbtWEV~(KTBBqVWg}09bHWtQz>{WF2
zv?i*OeHG6tD6l&{-r?+`O=L@jND`PX2muG?7WG(<(i}vpfL?NAb+x=faxO|>u{Yg`
zq7CIG9T*7NY4B18rHaWH=b7Dwu9$-XRbESbMtSvtA22pODSzOFpgNGemNfibJ=ywN
zVoUXhoaDbVESE(;0q~w2TT;18&!%0g3G8?J1-t#EdVl2vzcEv|&3}{UQ-wY&sdB$$
z5rMOgn)~)UeEgKoZ;CRIod!p9ef>m2CD0f$XlfM62unl=6*YmpqvJ-S>PpSz;Gm^r
z%K5lft_C%N`%KNyP)X5-4orzU5&PkDU~~6za@s-(!cY(-G#PLXfjBlRt68ucWjoF8
zriVL9Ryf%oLT6A0@~>0Up6hzeywH}yI3lP*`ioS{j_$eCws5i|WTOIxbP8KqAwJ;0
z(`%OWgRKELHv?|eR9r$D#h#nJg<|Or`7C!?!H`RoltbxDqFD;#X1(7B&7&ecdwv8m
zL;7ibVYKl=<SCl>UQbHPMr7*M?-YGD2~lGrcB!3!S6S3p^_=iPv+@U?HgKALW0zD3
zt4Q0m$MjuFSMjG}LS@Y#^T)EDqdloWKIkm+xRk@9hJK*uHM0^q&%-*9P{4f)Zx=(1
zpF5PP@LSpan78#R9Y$d8u0cWj9~V$#R1D2G@b-T}W1b4v&yMdi5_I;tvCm)uf|?iQ
zum`T*-nKL|GZV6HjH*NvQ2Hm^Urfjs(7~J^w@cG*t^C&l65Yh%*wrGj7i-&&z)BP1
z%_-+kWW$?I(J(f?^^M)Urr2qsMq6u01((1Cpc9k#-_s>*e|^xnSs4o^XxJKMY-?>;
zB)Er>Sc1WiH?Np3jpU|!j+z;}4R;(J9>Q}9{p(wbFo5(#6cpJOQCFJZv)T>gKfC37
z=oc5gWPI4L%1i6~j3f5&h$ZKfIdJ~f>>F2GIx_J&whIb`g@jO=d@vYgPw+$KkYrz6
zjasd6Mg9LR8HL^^nvSB6n?IgCWdiT}V2eQ&>+dK11CwNyB_CgD9uKv&6?4zKi_4c=
zJ?IzgDwhi%Qi;e=?tU*6oJq8(kAXIXUy%2!DEQVm{m_d0s6*wmmi7DIc9QxDn_Ha^
z)v9fNS&H}IVWZ1a0G?3}@`~QLx^S7RSZ^})wU;7(4Lo2@?1IuoKbIkdz@1TB8yf8%
zzTiwR<on-Sb(yP_V)2R~M`C<;^LC1R^s>kvN=O0IR|9heE&fY2QV;OKqawAS#9|QR
z`d{JX@}a;^kP1w_eR@i^yu@~>z`Vgh`TVIb#cPmamGQ&CDRlILfZ*XJiM?ARFT?M?
zFE8JHl_-nrBboMA+*00w@wu|x)<u7+?6Acf?Nsz7ecG5MXF5y<EnVHJF<vIQk)coO
zk32$!g@R*+s8Te?A0H_!dJ<90q2?xM-i_9}{D#fXvl$T{j&zUxAKxE=dc25b1}C;_
z0ioaWoSh+GVy>Fo(>mPsOT*l5$+wC_J7tWKEPvGTdZN}V@g9pxk{}3|QIS$=3;%Vr
zxX(ln-HoR}J<=1+!)vLLNl+24f&@pm86s5p&8#0W62S!YOR&4iwmEc=*0Aj68rWGG
z>kN1)9Gsj~Eolg9x_Zd(=GdU8YEs{l6L!)$=EzrL6^yuF&M5)Flpbfoqa1QDOb22$
zF=7TcF>cMm;YudQHrnd#;cfb?;l}o@*n-csnM(%;u+4(6P4;`7xoHkk9Bs>s5g>vp
z65sNPTkc!K7lAj`NY<ofGk%UkF$=O9NIOVy()n*@FkSA#P<VR!p+!9y6U3)Lh_D*p
zHm>%0yJ1oZyo(yU<>x1gM=|Fu3F$P<_u=(+D$!lMrK^!-o78vSW%uiK2G$R*+`I8k
zxtw#2Y!;1yEh%;Az0!MPE5<y^ke_CQ>2xnL^8oLG3Pz<LzuA;x5x0L)iRu2|aV>$M
zf{g4+_vr3wYSBW4*Y4X+QgZ5m8s6%sK4j%rLFlhfhim?14N#I(Pl0Jf)ur7@+QlXw
z{~deJSTFYr_OA%iN8R;srnqm$l-H*h*}uZ6i#RdARC-PN^7C5-9(F8(rQsVmly)h^
z6xS8Dl`o{+CO(+9#OB&2L0%`@d3{C!g8i|8EYyrXL@%Pi!tIui^$;&W!&h@+6IYuP
zBQsf%_q)wbyShFEGGdR?LEMPQ{2=2G@|Qc|YlEvSX;H}%9#DOF>lJUBXm%9;;pWPU
zOSRELD&GGt*|_JNT|m7#60D>VAb}Jl7^Ha5T_=ibYYkt2u*swpBgL#Ku=KdKIipn+
z=9z6IxZsG(jPN3lEYXmA!_DKXJDcRBX?;O6ID?ay)&Dq5vD|khxH8SxR?cbI*T5Q)
z^)Q=`X3Z04G|}lLo$FM?#N#E=2S1jmDcP1h(E|$#K=^8r(m&AY-I=JntNaxDXV`a)
zTR-H9Zq}+}Z!<l)`ClRUKrhrRFkV2K8lQrd7azmIZ$5k7-B^{0xUYe{v`fYek2TcH
zos3MYv+cn2Wvoy@&3E6s`hD*nc7z*QL){!}G-8lLK0LFx;d3vT;iQqT4YV+^3UTH8
z9~Hf!Z&)z4lEy7;lro9)7~<P!HHkx;e)SR|l7$bWX=wP{bAK00%<@`fLCT;<ZjOl6
zWrn2i!6y>>ZSg%1)|L^3xS1pu_w^Z+)~HeS8_{cG7Y>W*;lplh<W<(k>sxXai{dL4
z&;0x8V8hdQ2=}|9kqBFCM}?)s4eLZ9mb6dF(VxKf+ifK=Z~0N%U0eI|i_fFquZUT0
z&#Ux1I66Z4>sUtK^7h5IK(sY?Lmq`+AE1(>**NzhuNu206#v(rQ{R2`V*pyeppc4y
zil&wjA7ft%JX=DyEB+w&Q*m+h=JHR?=i0aUs=_@I+DOShyww^`#lzv1X<9foG`u-D
z2tG0e?prSG^k|a*EsPz@<~>Q3{_pRb?#f)5#ENmpwxGC=FGgHYaL<B^e*JQ(ZIY*W
zs#u77{|`3Gt9<qP*6ODJkF~cB%5rV{g>OPi1XNT~P>@C%X{5VbluqeVLK>w(x{;7Z
zIs|DDlx_s1r33^72~qiu%eB_K_k6SWf7^NHnKiS<S#aOib)LuZ%XWSUdZw%j1hXT6
zf*;M))#9NiKDjLYHlKS#FYA7P%fv}QZ^s`6ByIq1?$l4p{PCk2G!Yg3-@eVrkGV=n
zbgDhhy!Uc!vu1XuDITx>$)Oge`inAaGW52FXACivhQr*1It;`VQO1+&*f0qY1cO9o
zr9bMk{fpRiWvMTMP4;%XSZ6t%bRKik(#i#6;H72|B^9IarS<#wNouhr5{FKDcDfq+
z`ap)=dTl#(-KE>vFPv+M>cvfJ&OP}$L7*a|rS+&<t%||3TYG%cQ|Kmh^Dk=ol8qg2
zLH0K{zN8n)^QIIKW$64e#b6{aKu2MXGxL|$?M!03JyOY2A8E1p^6A{;GM1Rweee}4
z7etE{H%wUm$<gKljBT<ht>9(%aC#`?RUMP@uT{pwo0F4Z42ZoQz^!y3v|ziwGGY92
zg~C&OWc5TS;m5UbnI$!x<scWuix2*tBf2Ut69h}CbqPE_;8o=>9nsCL>=!eLz$8N!
z9PLGq%;+Gp3XcAT35uT3^gtvZkpk~I0V&WwPoLJ;h7la0S231i*ie{7+@&1#;&j#@
zH8r8NQMCE2ud1g;tY9~LN3Mf}W|HKA2w3U#SjlWYt~$&7dP~#6-hZ;cLi%F=;{(ab
zVvbcy-H|P8o6-euX$eC&_cukZuC5Uk8JX6pD5K#{nY#i??eoRhnEQD$+Kd0ftZcW!
za=N1^`wpH7WMKJOm0m#I&c+JM=~!}XNL)Z`TXG!cj^rWRC*E$=pfp7#L<W(`8y~gr
zya}F)punTXpJYa<u>=^ZU!~aFPp{9?uByQuWDHOs;j&QNtWM2`5m=UD<{9*_s?p8s
zU)%ju!P{(!o;g@qi~2x8<g+fM+`>S<X#y%Atia%=_}Yeykzm3RQYCEE==4uwZl~og
zh%W)lp>l@6kNY%+B44nf_5nH0Pn>hC1+Ih!bsEdXqWh!7Wr>2SbOfvCaY$ZV-m$?F
zlgP{2$GXIM5et-aG}F76P;joH{CG+?=58aoy;c3BOkKpaqrBauIPT2`TcPp=q%X3`
zU!)Fg6^0O*kbr(n?9!L0cC3>tHnpO=&dHtL^)3ce>mU1doEu^=_h3U~djI=Q#(-z=
zX3**fSq(;eS~s-N+*@e_;NGl8a3FwTiKQS10D=MkJbF3@lWOUTa4j4Cm9~F(3_}Yc
z(YJw~(-+Xul*Wj}?V1O4*NC2TNE?aMjxRd$-H!QyQ$E%jb{F433Mn>rL`mx|WBA{P
zS2F9WdJ)VqN!T3C&h368s9`j-X|^yE-yx4cG?W-o)SjHoAbZ4+l9pxg!fF{8egxm{
z+>#@FZp2mdEoMxM&(X?nJ^UE)h^Zpoj&^oaMJeB!z%yDy8mIs;JImSFFoU479d-gM
zZtyK5GT2$Dwrm68lt=tGFD9D*jwCUP2<uc5)36+Zs(?p&dYeesg(YNUE~~$rgB}U!
zb}@eAB_n=mq(5;<)DP`wEsii=xj;}rfX_TFGS}{fQ7%V5u~tF&gC-m_m?OxwlVRc2
zm2TixQptOJO!)FxnUoF{AyiTN=8dq!R9Wl$*c{Cd4U|}Ys*Ot@)`Ffnks;8*&1RAx
zw0HWP4Gmw>%4uh#L9L}h`NA%n!_SWpSuh4g^m=*?w$oLADK=o^B!C4%NF*eei)ZQ~
z7i`a*^HF|~;s8_ygckbj!$SFf#VKt7mWJ19_KlmM#%7xO@$VG3tlL3SFt#aqTaD#9
zM>h_9<52Ggka`72!`%GB{IhYJ%t<_cPHU81awpa$3GET3vF)#4JEkK|e=!ccejd-9
z`X*oXp;<MHo!RQ!0A`Pjl8d~JbKjgNcF1vURu>YPfoL#}l5ZI0r)ipjm%G7AGjVmu
zYk6`}Gi*i5Qb}o`@>yA&IA;ok>3%NreQ~)v9g9xtTC%h`xR%HOk(Lc(j0&<&1?@A+
z4{+JfVe@Eh_VwpbHi6U)L$>71__!qcNfomS>Ks|4AvH&vIFGvu#L);j35ks-AaGZZ
zm;Y}^x-rI`J7UF~cES3pLK=(RW2}TB_0wPRigX%)5xsQ#p;nG1NI{TjUMYPm5zFGd
z)&^hKm?j%bj0grrP^OYVCz@J(*_M6f1~D;e*cEdz!ou2*DAE<%L}~2ilPD*F49Hv0
zO`F(2-fVQk4+2-MKeifP64f3N+8^gm6)nwt5<sn(%nmtSI>dO5WuU#Qo(2<k<>ybn
z>R_k<WO8<3Xx#DPfd#ucIFp?8J)I-I_-O<9&CqvGY0AyU!?z;{7o+F0_*FW^PmOLR
z`ImeM%~RK)c?enu!Cm+h=o}nOB%KN=4%T1zIoVdvpKsj)0k23^G30*I%Hcg12WIO%
zz@>Z}(gpdPL6eZ$bn!Y%8_5tv)q!LU@OlvDfdsu30t<W~6IdmMa}|&mq3`ehyCpcr
zprmHN;&iz&)o60?#|?)eMq5iy@9TpQJXQ?VC}hWPii=0xnpr3D(_iRPGT{5&FR193
zLXRX_0phl9er@y=O(rtYp&aLjPAlQN@5*97Lh72Btgy^Ym<lQYK7sJoCVx<FK~}mh
zOKSc{r}V!!H->{hQE^dG3hd-FnQy6?V|$9KS)Nz2ragThw~j%Me}NEUiN!xGIYw06
zUStH?yJT9IRp)razKGkZ>TzY=?4&^+aXdWoiFffSdSJELL=eJe&mUky)g?<Z_xSzu
z2g(s5ISGYC{~wW7qTf?qjrS6@vFTMwPW?bk-N24BT^h_3_5xB79I{6_QsJ^Fm480k
zbV*_<Il4GSpU$_Av82PKgY7me0ilVXUSOuf7aJvQCsaRc*Gy)$W!H^&5r>F6!ijb~
zYfGS$-OhVJcG!;>g+`+J^hr_?!(hai4Rb{e8j4pr{DgCI!YspX^M?z?Q`(Vt#w10W
zkhPRB*?g%}mi7vXX$e0SN>Uum$I`cB{1>jK4QLx0s?^tS>8&0dwir2+4FF#6$S3rb
z@iKN!aWSMfmE%XuA9pyj&o_D13cGkT%rJ=jIavV<>|Dq5i<AUCa2l;Vc?XFmM*!Vc
zK<F0`4amQ3i`#v>5(O@=7oAJ*!*3)(7ed@e_=k57&wgI~?0q~37{OI~<!4}cD#d^H
z|EH{i6W;Exa*d)8jpaU|zwF!RuK_DU8GZZQ5ZK)VESC4rL&PD0Qy}~AgW97GZ#$}0
zcxZcJ3Y>$zhqD)(NucOJ_CZ!;z|gu2AB9h=Xi}ebsx(4BQ1k#;BegQ{fexd#UQyVb
z?AeIwm%50}YC)R$!z=|xvP&|PG@#w7sjpAV#~r1!c`ajpO*2N#%ldMlk_?W2Xin&k
zk!oXEG?i$k`SfT{hVnX4q8df<f=Od;895B#N-@|S`F7E<w~Ci1jo0H-Zhn@L8Nuh1
zXF+8E-63gYh{PYPHUQc_eE@MNdx!-X31i!<9RXiR5{sU=+Bk4iSiIK9r_Ufm%3-q)
zlzm{M9<iuqHEekX0OKTeUlsBxEPxyN8nZS6qX8YrJoQUOnr7}*wc}C;1op0gnv&e}
z!|pLg8>Hl6MFJJas$Zuo^Y1Wq6<ni`D+b3|Lqh{}=7D4>ZNNn6t^ah9oR-#0-f2GX
zPr1Cx7}jyc#WD`)klG3mD>t`drjW;SS19B|hUG}Y#H4yG1+I>^s?zQNf2aI5^0h_t
zBh3-4K}O{Q7uT^5e--w8@7f)Fc<;VU)*aDV9i+x|Dw1-1tX2G<7J$<PZ}4_E<_t<(
zhL=>=TW38H9MNJovKe}Jk0I3#M78!nUBaS8>nZA4YPb~m>oyHu!tvBIu-m|@fI`g9
z%IO~to*5c0fIhbcE(iYtq%QjZN`+zi0lV-z0?5(GL%YxL)c)u*{Ns!~!4Qo&1UZoY
zUOtF-2Z_pbSs(O<x;~^fMwI~)lqSm_ok0TY6Ia*x`L6%2oshqg)DUcucOT>M9xFr%
zGCSlJ#l=`ZxVVcQ;zDqZ=8{&g_&xl<90s_9e|Qp>khoXscA-K@KPN;&fmJq7Edyg&
z&LIC=@9>i5ST6l9e4_W*MLoWh{ybu+=U-NO_x{hdxt#9z;d)Wgz*MQ?I8sa*RuZCJ
z(JTcQabt0D7;&YDK`9lJJn5fnxOtUE)XFR>*E~@tNVqVlLW?1mdmxnup1GSShOqBo
zhJ)POT*R9XqMjkX75uG!gimX`6+Q}35Ge}M1$m%gQ7qV`k^}{ldAto!q%nUUH$$8_
zTqJM7%LSG(Q6%gc$uR&n+J5Wa0fb?nBJ2(bqJhreLETpypFdx155m3b1K~ncc}4$@
zlet+8@{r+dbIjXC_Mr^J4jrphV?>gx3yLizrdpJFCa+YMRx6WOq&%AB|3uChDM=T%
zxv>G!T=CEEqIEsA)Y8<9pv7&~Wyv4g)MU!rELLNvU=d`Op+o_6EykspF@5de`9qH=
zUhcr&-hk4P__OW68~vg<%>E1SZzzBVhgg%~eqK>T+b}1<2xoXBw<?&{;r&o6KfNjw
zf*9#Z^j=@gF=i$Z=zZ^vQZ4h%fO}H}%-pC7zyd+cSk3MK{NfG!g%+UP41FOTbOG$s
zHlJq_oj>esZMu@7APT@%>bnHgB~>Z@`Qk>xdN*G=qY*$Jn6WdBlmB)OLV6)$h1U&6
z%!q%J#`Bdx(GfOp^Z4<%*7HBGOx(<SBla)MxB-6EnkNntO$0gUHE4cl#_-u`W6nUi
zX{h9~`_MighzJ+cuMABq3Z0ajU)9)8=lkAtXv<3;DGlvwuNpibvh!EwIEXV`c3yi~
zlZ|Alm+w-);=!jOi~I%@^;}{r9dwz+TrEnbl><dtjS&`#SZW$m(59SyC+^Hh+H!_8
z@S@ogh1dHFNKKnZ`46$M_qS!!O24_D<p*8%!~O7u<m!0Pgp@5+&>QRMZ&7zr^Y2^<
zg_jx3f0|5gUv3DwQ3t`cM#J-HyU@h>$QxU+s|Ve-S2*-t#lvgcU<flO0i%!>qbJ)b
zWM>edU=Lx8)U~G8e&$1@9qte8^%bhNqn+74&eOQ5r91Vi#6L2?icbzjDUiqzsAJ%<
zitvGu_ksk%8?n0|fN}@y`e8Y*$E?+eWs(Xd{&{05z!q&*t(S#z`MPMXhbcRpQ+fT}
zoKIL1#}&->ohO#GjXX;w`>#FnMHRJN^MzL@ZP(p}GGj2iwWsc-&ynos3Fo=l&JgJh
z-1+csh1|>Y<?PPQCmd9!pC>01`&M)IEoi@H84vqQi7P8(V0E%@KM@2Mh7yMK2Q!$y
zAx#VXHf1^wYL^M?<z}fT1<@_eS	bqcNanW(?WgsnDcRj<ovhieuZ~zSSAr(mNCU
zyXXeA8!-^yW?hi!*!t01h3|cXS4JnT>G5}_ju57h4_S0hHzud1l59X{E$8UhOgl-a
zQu&tc!XikOpu!%pG7<O;KzAFPe%<!Vf{b1Q(+e%M;L0{=I)MP-gV%C#NZAaS^^okp
zNzp4q2TP90lDq#re)PaHadh7&?|dPiJbJly;niG0DXc5-EO>nTyf)t!mF%n1@s4KA
z;oBwRlOiB<f|M44l`1Y)7TXUAED4z96JBI6iXg0^v))OGrb~@^gr$uk<`!lj^Zhnv
zW44~hj}%3^1bG`hrYp94p3MQ&?#=T?>>CHCQS6?<%}#G0Z{LWV<-3Mzb4?{dyMK;#
z;)CN#b_){erJu?~?8Br5%7dD6{?z#Z$!n6e!p(LnyGQf$234mXUznJgx4wSO|HLM&
z)avf+v-Y}UwIKWA(6O%_OxmEi8-7KV^5O*+YUA6tdH8O!B(!fF!>2GBGNJwrMre`;
zXV0?uUDl|BfXpF?7gvd(^Q(X8IwA%4(lelKd6eG4DQMZBTnWQD=U~J?OFx64O~dy6
zizzs_@Qw0{Z;n}KxHE*22|lqkH@~x$_JBCwV)_7Np_BK3Hgkq3RhoxpbydTUI`$sD
zOK-v-&BtiI3q#_F?!~>Zgd~D^W6rSq(>r`Ds`j>iMgG~SJG1z3w1`jNE1TJQ;;1Zl
z<5+=vZ}#Hlq>xCz{As^~q)BHEtcPDvG|@d=jn_`V%@6mOE=yhY*)Cbq1%nIPGNl9o
z0o(7bnt=1rJ1Y#0aeOxirU!%*f<=xVRv3@(Uu0>Wb=|HKZo;`<R8oTBM{fT%JDwH7
zxTzozS@hQuA<7XP+zHAezYoU%e78(pLp<7`wMgoY`-num%mRPt?EyU`{jWq9*dxFr
zTLnq#i{~MTogc=O)xM;p{maVIGVvnq?ET0)3@H9Q__IO0(hZFmh#9=+rdR*YlO!9T
ze;!0hQoYMJc!LR-{sN@<AGNShL8{P)gB6$x9X-4?o}X{&rPVWXzfEa+p0CK)7UdM-
zRH=)JM^wFAt#{`xb8+MmUy5HgIrn=$N#@;ap*f$%#sH@E(j61zOM^o1X}l|ADNnS#
zXqhby%xbe}=xyc;yY{)48E(3w;?NVY;>ZkLJk8Blm*!>1YL1Sc$i>dQ(|3{QG<`B#
zL3s__I9m>UGXDVfolDe3Ey3o*qBS%<PM>!{yMPc%pv)R8PywwO=(FCufpY<MvUac4
zqlfY-zR>yqiBj#BFJ)IcurWM)prw`IHUmU3{8x~?c953Bh!jmJILRJSSI28(`X2U-
zsL_>l76LZEdrB@)Z>V2q%XmE;;+23~1t|oCBk2K437)jp^WVFOm=|QIUXa{k4+Sr|
z+@}Aq4<_T7Vn%w`w}?q_Mgo(jV+Kt=8_I++kh&3@dCPNQmCKUTB`}3~$FkCdKjwtJ
zZEA}$dG_-wO#h?b7|?!}njhxO)LZe%q9Bl9@KSo1J0+35%J%)jY+yMfM##hqL2Q{+
zOsBr(jJI2PO>buW675F{Y6{oLrve#|KF&=N!$Mv#rl+Cd^7gERM`;!wiLyafKX%m`
zWkx!6=dds(Gw-WEkI~t&sMCkmIl8~>jE1fRT)c~DL6EQn7_#eYYu!M8D)MR<)Sek2
z-Mj}0J!15;J4Y~hTY~TtWOVZo1O`TRppHO+D*zlj2nI&21E^WxGdumh8V=&HYKwvH
zNb*N_bpXkLC)<0cc4{z{XDeA`DHJ<WNc1ZtWB*zQgE!D<gcMESgog~+1;F_r(&7}{
z*v}wr*G#VklHOn?d@dJ9m*Csm(+do5=_#UhKmr$|k6r)aD0*|DGv?hpK{5wvUQ(<?
zhB51hU$(>}0R-UtPC1T=f+!QH>cRQmh}-VY__d!A$dr*wk9FiZVm?%`D5=G$2F~t)
zLxFXN=^Q?WqeFX%sN2*iKVZ0JkI_xhInmlKOxWKFq2N@dLm52}e@hP%;iTrDS;fTw
zNi;kpK>eIu<Szh<UrQ^``T@+Q0EKKh@=4eKXa=FluHfYDL6mYQ|1G`k-dqwCD*t`~
zMNZGo6Mg<uJ~ruJk#Y1YBC)qUFrBK%H_5Ap09f2IJcqFqrgo4sg8T=j05JLefW^iF
z)C>?Eejvn#(~%o3A^`Iyq>On%fPfGLks+y#P_pqlBH_wEA4~`hF+LXf;xWl`y;<8x
zv@t{Q$+k3U$5r+8<Z_OkFH4Qs*RS8nXWlAvHYW-Q=&hk^vLn^&IlcYG-|ay89%l+1
zaR?|es{VS;9y_AV$Zy2hLC?WPDHA;ri+~{_#vf7}a{8@GfqqE%eVH$cT<}RLOCRL%
zv3F>Dd#Mq>G2fG@`ys;jXo@QZUlkP)ri4P_?OYm+!R7uEW(_^DIv6-KLBoH{4{(;_
zVR!X`BG%$!P%p(ngOVX5S3!OKaekUTjN8$PEP7Q&?dUd+aNr|)0&<5YCy;sy!SPw%
zeDr{uOqj{#U#3ACDUzzMPs-o)C$E5(gVIvk_Yu7%`S}(}&i1z<#meQTJ_jBDlLF!k
zoMAB+26t;_i7wsW3gO5JUBltFsMfPd1H)^G>?Pn6%<jEOV!4iIB}gD3d2hK!ou{L@
z7B^bkzJVG?W~EkH<P|omiv&e-tBrU#xq!$n01b8Dm_4g?qDjmc26pPxgDyt<*A5j3
zS`53D@Ln4R#_<GLf()T`7*zqC&|>RDpi%)ZEu>`mK7IPMVeMZ)E?xly>X4b#9YLxA
zgB?f}Kx)(7Eq$dq2`nuzMLyLuC=6M5CFi=rpZ1sxZ(tM&yxTb&BQstchpz<gCJZ2A
z)(@ltB46HciZP9elpz>7e3#Wt^TLnAf9z<kJBud!#h+LQYzq=;x;XGJ6>0YN`iL?O
z37Jfu(b!%)l|Yq#BNpbxd0>6v`WQDF4a-4{s>Jj?93tS4Uo-CkoILB+Mz*c8IsIzR
z{v64*I6YXWYCrt<>C1hd!vGMft3dRzWXl(My$!IbhUHY8-lngR2yedC-G!=ZDmQ(m
zq;zTMfLJOezoDRhdcax84!awrEYZ=jL7BomNt&8ZsGdE?JpgmC<ZTXiE9f@?E!#E^
z<Zr?FUd3V>;gR{2j{>{btNuxKQioetk#4RYQHJUriODuRRHq5~;6<a`!JSS)q-U7>
zch~_RfuaK_ots#GACCRxAkO?0?p$m?xNy(zQ>6=ee7~$5^UoMUtqgc1Uxu<8v0eh2
zMe+n2KHbeK_UlNj8z9h7Yae#*RqX|2L%ux;#we+V1x@=4@T_O?O>+-`r1Dz$dn-dO
z6QwN0Ha|Bqe0jBaSz5?E>iv-n*$xE-1){q^msq6|V4`b}Y>C0HA&z6iU8RmqM4h&M
zpMc%!!5WHaIHc2rc6ejo9aL*_e}u#$xc$zT2z}kboH+PO^t`AbGnLmawQm)YC{E!W
zfh1js5p65X{P!0K$^NM`H?Wke8pQZ%*2A7UHUAAtkQfhe3nz*jk+rA}KNNch$=8lZ
zh&Lj_q1b2<78ZuEEa3)9F#g*JblGHa0sR@4v;D+N@8^&kWRd{@WXjq`7Q)NXZKN)1
zdC4?@r7uR-Ocm2Up*+|i$eh6a!Yxc<=_eOlXWIGhFEvG}0@}exab0TvLxBvDAv(>a
zMazLyr0mOkU2tI<&U5&m{0fqv0(ZRNC`<gmKRQ8~Z@XSWyJQGi(>Vno&F|L<{c;N7
zno*=%ape2k9RX4XiYT!Ezf?)dhXFX(djKQ%*e61H-%4fZ2pW9U)SM)TuwM49!r#jA
z9{5m(ZihOw>^9X1@2&^EHD?M%V`wuxOOT84!~r7?T^YN#i_T9hP)vrY2LfP$7okZf
z5qp*bA38QNz8M4f3v#V_ur`FfH=!m<7V-WGhq3P=oy>n&22>BoO!Y_P6yB%y<FHrZ
z1)lSUvJJlWr=N~1V%J9@zw*nzI|1{G@T(z!$RarSJnJj47)oj7WNx-W*eK9)p{duJ
zchk6@$0*tC&bA-?8b(1`7I4m$EX;k*+><7kq{T1cWUDfOlyBv7m)s6Jx;u(UY9A2|
zLBdJYsO>-R9?o)?nO1fj?Z=r#R-6FnxCh?tT0h8%ArI_g<j($e#jTKTKQw%-t-`zG
zsu~&^iJC|LKkIV|_4amUQqBhXIpJPYLv6Dsb;KLrmQW*B8has<MU4YvE@XHS;S?6b
z^UM$iQ1tc!Ucku}J}`s-_tuEP^Icti)$-o$AdeYtjt^H@`!pbXF`2`ZV7m29P);G}
z1&<C7b!%4@R%D8(o7`kjC2MmAAdM$WA?`*IV=3xQEJg#h0ZCkK*u|W|R`{q+ti9_X
z(tXMF6SQKz*V`Z*5fWY?M*N2-y-KES^>nYB`9A|#0ACbvfsi{ROU^Xs@rqSNg9JsK
z@$KUuR+{}cNNOUDVQ>LMad9yd1p&wd5K1nG;byaF<^?en%8VUFW`v0stR+Bi`IFG}
zixDQ6W3D`i#snKHrsE>hK8e_-9lBUVF94TmX=wnW3A%k9UlC5~<Z@lh^+}BRgJ%rQ
zWpy+B1OkUikaEXtcq&g#^mZ}eBET1J09<-B&m)f#{LNsVYybVkXz*&SY<H8X@NRq<
z@p2jQ=nip@yDO%q#S<e-@r?%<|95i`E4+J5HIc`bxo*b`*;d*l55H8%Tdta2j=kb4
zH=J-URw{i*aeD@GU5!bCTRx*v2Vsh#uC`I!ZD~VcNvVy0(71+^(*(({`(P_Ed@^m`
zZUmkI@CZ$tCxPtFN_D0C>VhoB2_ON`bEe8b+xNX~AGxNG4l5YQIQKrnEd<N(c##Ga
z*=h}byz(!)Qu%l4`9eBp1E5b3QL&>OwH@Sxbov}&s)69(hJ8>D3c^OZ?`*{1DoIN%
zBTsKj7SCL+%wd4=;9+bnEs%9Swzh_V)ILZ-gg;Q_GW<g*yk`Y${}uh01fn>wo@3)f
zYZtdOeN?#H)+B(bh!Y;%2u`<Sh>(;*A87GGz%_`<gmka{%td1oYrNkutfLtrW*9Ga
z`_FIp1s6`Ej7ji2`!j{la>DO^cNf}s|Akbvz_c;8c?iK_@4U~DoOaE%e<dYEGAW?+
zF<PlHj>aoh*7&`iULmPQ!DSIaD>qj(84$zEfu4odcFU75%7t&+Z^FtDt|bhwy1cQ?
zs3-!iYBZD;9)3g~aqMeGcqv+1d^YM%p`A&&K&&8(8dYxEdmpDQ>t%1MfZGT3Gf59P
z$K>-$2QK5>LdeZs#@S!`W89FI3Ic5;I1)&|3iK0%Xhv{w_)46C=sRD&(aJaPLQxch
zwYN3-2IFsm(c&V2ln`~lu<HxI8WQO~io|f9L&G1ElLq(j`GM&90WwxObo}!zVmfVa
zKXMege+{xc5AKJL(h~r=>&TZ(VYj|bGD{@Rt#mP<4T{B39U;7zI#r3^_c}u?`iK?r
z>&RP{?G9`}ruaGIO=X-4u~mAZVD#5%bO(<3=m0dr`QN#f#sroH(NGwWMRu)|7?H=0
zj^4%*rzQfx!i@1xVek6Eh?VA84Xa^%H(s2I3KSXuc|lXI=RTUkZY&OwqHSeCu#-SD
zq_)-%(LXDq09YjeKQvi<-D#QJ8qfRb(|aiBT=x%zGx{b9$;iaWecA^daT8$4gxpXz
zLxUIA|2?w%ZB7&@hM#*E=D7oT6?+BNB`umwvPc0C@B%US?2aSf&)lb5m_f$(MH|Y>
z?!M%m@T|UeH*{xrD~hs-^KLS+9=Ns;Z-FYYIb^9r>&k<(<MVo_v#&}6Hu#-wB+=#k
z-r_r?29=}C+Vaj!tjACCpGvO`u#ODC&H$NXUB0VM-_?oDVbdbNXGK2Qkazgj)x=rA
z>A_w7cOEoJ0~TON?>!rURrLSpwIgwzfp-N-97Es~xY31%&VK)a`ng~56q9?l!v#b%
z1KS@|FC%tSM?Ub<AT=9e1v}H#!THvi>%njC??Vvltsr2&>9!O=Ud-;v)&QAVXpl+?
z5Iw$k83O4;gfV__r*>QjlE@BqND%oFs7(HGC22$!!`&wQtgW6WmKMTCP;WuR8vHwC
z;;s*TATk0n{~d11?nozHp_7MOGJ`PPG^%aW_2z*G<;}1h_U`;pHzg`wABkjiR0&bD
z*1HE^UQ8dU+<Lgw>tDl|p<Ghj2<qY;FJ9@DSuxcZC9#~D%=yWfPoM%2x~U@PRFvFr
zEf<8s$3(T+jGP=P(v6Lcxs1O$)ts1{Yxan{bwj+tHY0ypDUMf3TdQgMFld1M`NO+9
z-LaS6n>fL3j`SO0Q$1^A?*{-6t|)*2kW_BiOdS_f;Kf-$q@EB;t40jvql#ig2=0#v
z1>h4UJL)}$2D7JNyZ~Y;9rC8Q&Y?0AK7VH|Eg+&eHvo_a`y?Lf*_Qr-z{xL#6zV{q
z=Le_1AUssGA0TmXrx8mjrEosahpf}zhfqf4qpv^9aI-Z+nygL#%ov%CcH_L#?o(JX
zKj$ec{(4ynOc;MZ)u<9xh9FAIx;xFWRplX#q1iglwBMi1xG1xe2t|zv(#plcF@H-g
zHs9*B6sqJQcGJ3&5>*jeAy&y^b75~X(MRy!uUGp7Vp2GaVWZR24ex*q6{zY98T04x
zn-EjI&+={iR}R|*4dedXx_7935f7EdPif3%l^wU|Lyl@8*Wdptb+6Qvn_R47AnTXT
zKmudM8_o&(Ehw97bu9nOURU;@wiuG=A)yU&xPc<?Uq3+FrrO9MK?v!igqIxZP=QL%
z$jAVuR}Y3)kY$7e2=R0y;csCm<Y|L&5=tFF-37v7QqMui0kA{40|kl|*$RCI@HPP}
zi8!p=*MW;azlj1#E-}IG@lNAPl%RImLsEiZowA41b92ApZ?cj_LKXLKXov)l7}@*3
z5Alh@-3Ck)Xwx5hnp)P+0=0r>w9*~f>C;744zK=yMpc|;zJ1STu&LH(OpqP(9%IeM
zW(wo()@7<XOo}xOm6eo`Cx`pwK(s6f#;xsV<JCMpy0OUgUmjR9W)4`K>CCWG>xE#_
zpZxZ*5gYv(NJVKhD~gWq$D<TSi^~97Rn_C;rt|@Z%BD<BhN2L4JTr4yg+lo7pK%15
zW07E(vdE2&_#A1xoH){-qCj<Ok`BAk8*vxD`BVt8)JO>>0LOs6AeRJ|ULw+JhxEO=
z3$<8{<cxkquza9^u_i^3u@yYNgeXMvFdVJ|?l%B&s_>{rxp#he24_M|?-a;_K&Ai2
zu+?Yr?X}VKG11>+?Fy_Qu2}`fl@Z1A@U7$G$^Xu{A_`oxe>qn$@BI4|v*}i#P)L9u
zl98C#4$C1%TPvjI5_<ar)L-h*1(}FyiJ|{<D68w~=@}Zby~t-?<|keI#p0E@$=CD9
z#R;@fp%14)7z;}v>{L~ZpJFh?oTi)Z(y@%*l$tb?<HF+}oPF#a2?m9Dnc-G~azewe
ziX$oN1R^Hb^-+*>F~)su9WsGx7V<GJ&|aWz!(j&kmR9Z9s)AP}&HaRd(6lX?Got<c
zaqa=w{fr`DN#TKYTP)ZfO2tqo!1-YjFok_b_-43)S^%_O9|FtVpJ&XY2o^RR4qc23
zB4&9KQ7iV%KeRvjUKWXw{RNHCISjpFT7<75u>#JUDi+X?9H&9bcbkMm%PAeIKb_y@
z>v$1%L&uVcPea6^IRu3pxC1VX5DSo*3}3)+ID<Gry98~Cz7CHcBTxuZP8JL>GK?@)
zvpY~ujf^l5Bn{|f$H6Z+w!FF5l>VdmA({Z@;ne&hnAnMj4)R#@=u353u1D5Vr=dsq
zqx`c>@C4geFjdNuFI>9t*)(0bU}zl>6PEW1ylIj7){H&O0s~xufz9rNSdg}Juij3)
zV^Pb~##lv$38l(@a?LNynV)~9qQSWB$TTOS)Ql*V?9VEW6e+PeXaC+cQo<>COwf#A
z-j$G8Mf`;r%$>iXG_eJe+994N*ue4=ldB~JNXV`^p6#5!Y8H%+E*83h{in$?#l>QQ
zlWY1a4y|#V)cZ?T6WV#=;ezjNY$j%o2!H5^&i%3~nbI!a`Qg>X)IpR3z>du5hg=
zCnO+@p-LN?0+P2=Qu<pme*FIJME$}n<Q6UF-svByL4KD(mlrGt>Bru$*6U=byb<FV
z(!V=$ANlkFeuNaDEgj$Ha=;sa#|32~bV$F^t;|`N2e~=w{%+RKN{XqS=&Y6Godb9>
zK&=7Lv>|+<a9XuM?<X&u0D$TIf#YZ%)aj5)faYgDJx?!y-zfw_kT^OevdFi8ldgya
zPCajgz52<m1l5OasvAljxI|)Taq`!??W;zc<cNY0+n&}T?k$m5<qBy|g_imW^mI2#
zEeeQllj?KZm_L#;_M7=n3&16OQ^mZj?oMTa;q|gDPk|ejI2Ta@6K4Y}lVWJ7;pE=7
zAdObn^UV*oywxmyX`J{pTb}1nKha7u4#%W&nYi9YIw4|u3E~GVB7I%m+*oxhs1xMp
zfQ*J>Jg8%RGiPt9R|krR{CsJ(c>i)rlb3Mx!l`_Ubm@7lUIUwU@>~0UDmI1$dBji(
zyFIelgRa1yH|>lPdg0Kr7GM8vdEs+Lv&EN5h8M60K!EV~4>a9M(5>1EnX;f}+c=9l
zw%7%o%R`u|s2wQ&CJ2dJ9g@5n#T7JS6wK~=?azQ#uqR~bhz7l7fc?atZs%8&^Dlps
z{iJU?=zYu3vO}7J3#co?bsZ*!sKF83TfEhM{hvrX3O&!AjL`8>w?GoqUu4*L?kb7H
z$i$S&sZ=i*i0`6l(w`Q4-R5}Qx=UBrXE|cmA6~QMn^0;J==23Rz=#?Ing-KB9kf9;
zrd^}(5;drwdqPg}akd^v8JnrQ(LL30+y-C+?B(FSrBCI3I07a#ghvfn2$D__pb@3&
z8g}qCqg<$=N;F5}yFe}T7deA?g~{DY%%KB~e8mQMlEB|I0goF<(XP>uG5zx)6x4%&
z4Ik@xd%7Ai=l};XoGsDqxM0Pn9z%d?`@n$3Zwsh&acu0BNw+66+=AkFBP!SX*7WLP
z!|4>0A)e!cSjDt$)@9+LAHrNcPWY=VU8ZYxv6)y2JNinI1-!#@F(qBQ$H#W6k<u@R
z)~ly&EeAgE3!jzNX^&8F=!+BRRL^->^>R1Ael1D-{&K@`JfjB62&{UBo@S<|G$@#B
z>KBecDwFO`0>fkT*yh7lA8#9*l1h?4aISLaj~$zG2cN<70*pSQIequAEPy^;z>Nui
z>F;A<!*_uT!UW){v1YMXDHz*#e>mj^vJY2*{dJ<h;YS(EW_p9G&W&X*6qcpOBDgp5
z;$c`t`28R<f2hifSCwb}U29+euBqu+*HqAfQ2AD4x(?TAVdZmUlDLnwVYfTk@8haY
znsHKYHFisSLZ0Y=#Wg8o5^3W1Eq&O4`al9)`(Sfcbz4dN1}08HiX;<G(>2NIK|yXM
zh4p1=yrC;`IAtd5Z<m)%U}&zo7w*Y{uK}aW+??=EDNbJHkZ8D43LeUcGeurO;p~Z+
zpxD$ymjPfy--0p(p*vd4=41=NM|)-;Py4Y@+&7@#;sES%u%Y~c;{=8#yr_{sP{RT*
zpwU>q61-#pct=fb2~Xl8S2|J>0nY3N7!X0h>RsCT_kEJQ=<vz5?)&%ey}k0$J%Q7L
ze;*lv1i9F8$Q2(R2Bi;d)`U=MU^$ctJt;B8eZnEoJq9E56>H3D%sQ4z^Y%=%YA{xV
zngdEQrGJG%JVn}o`kf(Wrji$WJUQ!~r)FN9DdXIcYaUtSCY8{S)UIEp&vG3Wq59b~
z);|z{1}?_B@1^o8!UHMP%%i2MOX)%_X3klK5gVl%d-_treQVVh4eC|bmYA5E+(1eR
z$Tp2nbs^geV|jUbI+e_a;87pwlke;8g%ta*TU#>hUf6zsoX^24l$wv6Dljg3)0;qH
z$!FhlBqW=o1#!EgAb4mQ?m_N4coaT6c3y(K4miKbIz-`k0hj><O28cMKD{sU>Kw^u
zhD}&0ozDqI(?C&C*uTF*ZT0J|pCHgf)Hm}xP?iFCM6+nIMC<Pux36`j|5O}VVL}?;
z+M0!MWoMW56EPFgM<Z{|3?ha%K}ZDr!r_ZtO|478ovcgJCI}j7Pv3;~u;tFEtn4E-
zHMMq+*3P((W)JlBSv_5zOW>RDv=s-1e$BEpH~84&Ts$CIIQ2DJI(OeaoyY_(U$@;J
zw`*#|Fpxs{^3Xb0*a7*p&)uZzI^Z(xaCuTgFx<0H6aE5_6oG>&{q^R^qHdy_Kt`@-
zD9C|@QWTMJ3xGsm!3MHmikp=LpDcXVi#!`SSrDNmT+Fbk>Femg)cbUIUWpOOkhcdF
z_*FvFwf+<!@HiXWZ&3Ic!a4jmc`G;96nxYegzivV&IT2^^K40MhVw94L#GT3;O2Mk
z+*w^+h4%oGVWCwQPOj!Ri^1+^G#9VBLvGo|VXpN9&~U6D6c>LNa;SYkNq~K1CT>O4
zScV-aCR|CgD0^nNIZt&%$ueL>Wt1_y)3&UzkR-2!{tE7+DSw@x7Q4Zh<rU>Cyr6`K
zq&;*MwuYB8TB~x7rS_4H1l_n3pMwguvCO1v*z>9~6?&I6bHdf}1TX|XTG)7t7|O|g
z+&Ad6s+f8jK4%YvVf1?wf?x<hOEd@O8Z;>F^u!yQ)M1DS<}Hk~$V>t;`tuDg1)WO_
zY;1_T81_SGP;_2lPc)x;qkjy2Nu>tOKcTM`Ooy;1H-X|%_~wwTl=Ie`deApLB7P5V
zHU8&WL7~i#W{`2xhVfIYqyE7ggrNs$>J><rfSBB#sqNc6Mn;HMfN%lnk3K$<xz4Z6
z6MhwB??(_yf@(tuaJ9y+!Wjro0Eau;B52h;A?ct;fCBks*-h)-<XfNBbgue-{dAy2
zr(tfM_uhnb_7jnSIplK#!Clap*BiG{uP`QO`k~-~<;2ufw0ihkNaeJ9<txj=>G+(k
z#D--6$8uuu=4+Q9PHMz?+1dU>&mP>sxhhT^d8y#d$0q6$mJ4(#_oSSwdgZR)Bm5$J
zH>--<viNX9OI!P9$=e&^1*H&RwFtP9C@jEL&a1tZQRc3Z%Q(+quLU(eW`P}gG{o0s
z1Vqrj7CV!5E6~(`V5z0eu_I?|G<LoAv;#yU{;YPF#ZfQi^Qde4^yA6jhMO0TrH8Ag
z%I8Tt%2u#FqGI0@X~T&s`B<gMSc_B4!4Yg(t8Q5}jvFtoGdh`ScI|^a>iX!q1%IUO
zmq|x>+nfb5_;Rr`q`8&2)=J1(R|jqRp5KI<M8J+AY!rHuvV7yqzpB0orbqkwQYT$b
zqpSK}&Gh)=;x}(7XQ?j>@Q}LAV3s*n3ixZ>YEjS%m)ZPE7l(@~l$LE*SrFJ1wvZ$l
zLdVKq47&f|IvVlwZZs_X>S{7`$YHr7M<!jsp``_G$s7ijK1j#nP1|Qg3GhQOqA09v
zir{sDhwbK;t~4dx9t2GeTX$N`6~A3+p7vsEVCc;&1*cZpz_O%g5Ef^woDz16YPLWI
zr_rlHcKVs@O<f>m@>=WeR1qqEy-__GopnWLv%D5ElHB-Bi#(JW_tXrv_3&Z|9xSDq
zyCOXiM(E`XVfof9eMkCMSzDf#mX_RPJA$G2iQhwVDVQK4PTU^d(;hTUV&)EkAiV`>
z%z&mZ*c7q-5V?ve<;X|&am+uEOC&t6agUpuVpjpa%v;<cw!H6DW^)8aFB}&~9kzU9
zy_0f9aq%)4jF|;!qp{TAr~SRgVsYI`x+@NdLUT4;1#U@F)B7=?xzLW}1+6J&acP%K
zJg$uzUv<yCA;s}(Io4z3*4o*(+nAb>Xr2*hz9tkd;~)6*xQX%LQJxn!q>C#mEc~$b
z;|gGsHum-~46rVFw^;|}-S;nMu>xckt`!NkAZ5m#&CO8h+|y_CI1<EC<x_(4TV%tV
zcQce7KEH)p5m0k2fc^epeTZr+MEONF-5&H&e=F=p+PSjX%xjACdy+A1ZAEc+N-qll
z&0iK`D$UnCXPxMNR7e$PW}v8W+hIwD{rSzprlyC9tI!&G#hx}@S&Y6-H31FpYHtBV
zh(&D&9V{;|OPp@9j%2LbJEjn>?+M(g>fMYtRrK#rVdln)!e1oU)UtzLWBq`2iLT=-
zvFk8yb}5UBB3&Gy5L@5AA-~@UmPwo^{SDX+o?m=HhI{LJxH&@}n%g5$*9}#H40~K2
zbP50LtgFLv=4HGwvfvq733@g@1pB^p`Ry~tiv`0--+aL(Q(i_jJqAAKd}maf(@76y
zHhKiFg_?kiue(eo%_`BI#1ZqzaEtz>nuM7_7@x@}h-1vB;idfc%|6lGi>ihL9~vDY
zN-bpQ8jRiV-@l)m<I>L&6x5ruRd=Iw4wKU+E%$z=zH3I3cWy&Wz};=jdrX<`U~O$}
zJFUc*p?k-ua34!8vPP1ODZ8b%7TArNAo5Vw1>XVT@&IW9Hy&cpJlyd0aPo(a3s-@;
z(duaUJJI96#-<Z9y%SWYK$T`-Ao8moBb)2J>Uno~PV&$?EaJX!ArbE10iy;Y%?Tza
zL1v$y)eqjdg&v$|gxDnhNvL7GAYxr^I@EJ|fJ3REr$>sCG`6s@)mhl-;>gWuYBHoh
zXko~UrG<_?c}B=+C~<RF=_Pr=2!HP0h3}@g*qMSpY<WYN2dX))hu<Ntvfxai%|o??
zC}xdk0?(dtIn^|Tnkutj1&#P7tp;>>EQss@Et#QwH8DU6{lug&u7bGqG*LD;C&E-O
zaqoeDm<OuswR(z5!Nu~Qo6N6<ARR67gNVrhl@^WPNXVV3EA!Z@5XxN<DI_lOdjjz<
z!C(!+n1`dkKxWg9iJW3&Vt12D-n~nU=I61g+m&~h7sK&NNjIw0uZW}&?-9pgWMg~!
zZf>MdFm2##<KRKl#AEPl1#0>YnQ?*(th;!7{^0H0x7gU&rAuj7#g%7<iVzu>ZE8Ma
zm^cncieeCvT&!+lg8Av5nH##KB}1N;|BR3MIuOkYg_k9txA}$kV*2Sos5$o~*(ExU
zAT;W(!gJBLW}Kwk^D<rN*Z%mSk~LRIfKm~98a+&ERfziwmX~@!l7Pigi^M`k`oKlL
zvYHxAhj$g(ziIBIsP9-Wx=JrKBxeky(5Kxc+u?7+$v}%LdHC>l4CME|oH1X!_Ku+v
zUzREDL#UbnO;TSZmFS-uhPe6i^mo)ausB9Y-VUIajWwfyh3B`AZ|n2@Di#ciyGo)&
z#y<u>iM8g&j&`&@Ww;=}srvYg-1r%XOUwDC4c2Vw@~N}Db+L_zr_ZFeVe<w8!tpmQ
za>i+Yw!hcOZYx+~G4B15wYyv3=vno^Lj!}T&Rv{HYAr38tZ&tpe9k!3Z7F<YxGYQg
zbvjipMPOiU>@bj{uj((ozR^g4>fCxIvl-+0gG_;ub?;Es9PNeXtnVIuG^XE8Yy0S7
zozG4YZRF=*UD_h@Re^{Dq${g4;%{eN&m!!81Tvf{hvwdmWz{S;{jro=Z;1rPBy-h-
zD|0_2Zl*P3p!zl@=G`Tps&SK19!dVx=vpj#SGktH!E)cf(kZ7p!CwI7$BmYPy|hvE
zJzh1m{BQ~^X>6BP98)|a(dtyGE@c!QPA#LmYZ@B1!a@tO_Dq*S{+_cLke>ne2E#q>
zRl10;&!uNoub#lig8(`bY>}V=JOdf5OR^L4eQtchxdje}jk$!&;+;mChAxDKq_`-S
zT*0nq_)rY_s$Db`?8Bpmvsb2NPS8rm+{DeH81vDi0d~a-FDli<?|8<H8z?fFJ7rac
zaQIE{9I-WnGg)ZuIYagp8648rz0~3bN#=ct5ZXg^e$pdhJv=<*G(P0o@UX}03H$)?
z@+)gd|KQPR=P*Y3kNE}U;9GU`vNV=iRzqta?yVe#%-em&ERbElSsK)sD2u_-*G=Xo
z&uGQ+<+;2eOzJT(AQl&cJydHVQPtGpyIn*xdBS-s5Z-r_E@qYSG)CijbllveFR%7Y
zEI*uRn6szwm$8h19|?2=QsLJl?f(usaHZ=6b2L9J2%^*tq`Y5%kBa#4>-4WD*fXsY
z!;cyVCgy^UWEUx^=lRwNst)m`^!R?t_k-nq-vGeiIS9WxJcd@>kE^FOweCRl190Fx
zhbI0gRRe=E2Kfu)wLxTz68<CpoSHNVe;&Xk-i3`;SpM)Xg!D&XVdgLhWDJgZHehoa
z{rmH@d^OYK{Z0Xvy*T*4DpXO^V&(N@saL(gGN?bVYlpD}5@uz0Ttlj+U#rTGUU{XI
zLLfJ$pr8;Q7N)%Si$26S8N>)uxoXwZ>3x(wRHfQBu-GirVzBi6eAaT+`k<R#5nM_O
zGbbqEDyFvJwE1MX^0u&e2Gre(bhm1^_UO(IVf_SshNfna!<w}n-v#=Au`n(m7QD}n
zfZT;{DWmg0zX3<%cingybH8!UzCvYJd7Ajmx#e1B#GQgYdXXt%vdHcgCk=bAM_C0k
z<QG4Uy^k8lG_08+HysrO^C|e4sM)5tl@eD+?hYyA0C*2a13(R5VSX-9O4HWR;F4!P
zhu;h0L6OB1Vn5A$;~`Q>kuN$a-x`~MLbk5eq1TS>$?M|gN_myfxxSc1l(2Ka9~v+I
zM^iv6oDMj^@>&S4WC*g*w{OUU*z^Ts__0sHS_yePpCR62rJ*12^`8iDv4|Uaz7MmN
zFM#tpkKDAVi6Hj^L_A-ge#({z)=j*InGJNwq8teM48%VGB!KnJ6WB~-=ZNkxt$lzX
zKFAFx(J+wRLlr9N^XK4|N-Fn9XjL0ngP#D&4I&gdF@hi}KQOL@Asv)xMzG6$2>~Ur
zErT&CstuV0aI(wk<gFnJmYWO~NpuC=5)4Rf9=^2c>J2j4Is2y#51o>0MVnwFn|&@M
zQCR9EOsc?Qb1Q0-eqI8C++q&DF&REwjAB~)1{u{l#jJJASDauAIPyv;+k&*~>*1u{
zGm(s2zh898V05x~+VDMX;)5EyevKDJ)zund&z6bum>kk6^nNdKt~XC^w`XPu3v)fX
zJ2iYUju7Jez*Xc1#NP!!h%*N%H5@z0Hio?GkSGK7pGikIJ%FAo*RLNmsf<rZ$Z(s~
z10sl=*Y?vt!c-)(aIYV<3$0*CdbQbTpsuc7F(3~qrpQ+TxKlZ_j13CzZogBQ`qBF5
zM>)z7R<<Lr32^l6zS|Xna0hr6AYct~iXok1P)UsFw%d1IL-rwJ8YE==?MB09oJyHO
z(-zfkuCC9Z9}DSZoIh@{tbG7GJMulX0xJVvQ4lpkN{agukc?P_SvUUYJIJv@nz8k1
zBD<I_+Ym_N_Ft(q4=u!ecYGmGOiPQIi3zd*O;V<>yKL`#_njxT!t==OKaFs)fL{aG
zLad6VuZqRFDuqoIcgTE@qkl>M#G5g!%J=*ajB9s(79}s(Cy1_c&T>6U1FM|AK6xH@
z+((jn-jfYs0h-N5NIfSJXa0=q?7D-+RepUoj=Q0H@#T-b&tR^D&;Ct$`2y5%>gY^?
z!QG_t6G#YPnF5x~)|G?nv+I}=FnBQaK#d}FG}<{hoC7Zb$Rm<%3OD;Dp#y}-1C3@S
zm`q{PyB_`scqNSJQ&6wrppYoC)*VnQz~@v_R)(m2e*(k+4a=b9c75`s<^0bX408~O
zz0CIwDqa~$Bn%}Y&Vdji#0ms4{?5h*m~MI?%nNB-gf3o__jtLl-vibT8fHCH>wW;+
zPPQ+5Q$4{a_zOMY+&WB<V7&BP94`3^+23B#X~ezE!Hr}cOYFB^!`+sj->u<RIqln`
z$~~*?tR^QX=k5JlwK4b7V4*YH-t&^rTtUteQ1aSJ`W<RisQ!E^vwd?h$maJ_YEGuy
z`)nsE4v}{dh+ztdH=G+#fC_(RTYb;xo4s;JHgLN`m1!CtMyWr(0V6i{H#fcSD5L&W
z5hwWc0PwERWdRtg0W?ApkwQaAk{vi-VfBK1*iGRRfK8j=U;Qk5!3RXz`LA_Rj5ZJ}
z3hsSD))m;s>}VTV`rsP(?}1@qVgK|Qz%?^1-d+nk((>nlRKJWCm%~9n{TtZodqW4^
zNl1twk^zd+1uf6wJ;AP%<DFS-6yVrtQ(HT88;*R4pnbmm=xUIL#^1|ySU1+3A0Q5A
zIP^R+>!)qucCSeiR)~GgfafT{e&M_2?Ly5p^`dw+^SQ^h--W2c-*cu!l!2EkRsHL}
zyRu_yy;F3fPru*<<L0pl<XqbF+He$2%<C@fYrUgR@n{g7F)=sg#jeD|Lw%HeNXJ^o
zXek$K_8CWDg|r#pz3%=I0SZ5xMIw@3hW;D8z&Y`V*#_j@8}&Aj?h3UcKVgx33Maxb
zAgb1Ljc)Kv0t$y@L8uoIqqgB;S^VgG(n;mB$%Yp9@erwI9s%YD94J8ancHqdkr(LG
zNnRkpJ9f(#deKw4*0Fh~9!li>2ZaFO5m>%V_u^0Br9>HlHvn<a%f8Xr!2b8~;^vJo
z-UFRBj0?NnaD9I?D=sai$ct{pGX25#vcrRbh!RKm89qe!e*5}0=VM0mna0s3l#|ue
z97;-0fMtM$j^=<Ehjh5;Zh>QQw{HJh%jpX>ozLrXKLkZ$uEI(@Q2Vnq^ftBwX9^0n
z{W3-=*z-w{aXuv1>@#9)j9VV6s@8NAv0cc~=!jJ1Y5<rS18^y9to+_=RUEKJ&3M+^
z0(b{n5}5ljhBO@I&mk<AC!WOq-Om3`f>Gn3z^2Idq3RjP!Y;AgM0=i?s*=tZv%;sP
zm6n?7`3fDMyX(aFFqaDAc1_`<_q4X&1nz<tOaRFB10X9^Z!`Yozla7@XV?Of1f@5V
zvNSk&OWf4=c}B0;p%O;8-#|=mS6U5ac+53I-Y%I?wF=fNq44U*9uE4^Y!SH#l`xZ$
z_t}4wdoas*Cx|%xvmh~k=ck<`$$(A8Px2W>xpxU(b1h+>9s0O!Mp)umw4CESrZvUR
zE9iF)8F6Ve7<o7MIJWOmsFAA<Uj*(ioq%aux}ev0#Kv&@4t<&8Kj6j(OgyHHv4H>x
z)L-7~BjLFI^X!rm8+iFZt$^fVKnfeY$B^vWR|TgL4-Ze6dKQ*sdxskaz-OS^UWa1_
zk>bLsh>z-S`i%?#i~ByUtqTwk+-%?gnJ*ma2E)TEpd*+EaT_SGTH)P<;)!yDW-=5o
zGKeD*?4b4xPY?4PF9{)&D-jt6;64-t^+Ct}cT_Mh=u(no?2%P|3C*I|{;cm<Ve^_K
z&@GGOxmSgCgi}OuF$nAwEvDQZxQ$d&JQ7S@xys`OG$t}hUO$09WO0cX(<R1$(O9&b
z2Y_97s#JD{ETXZB(*gfwKCQ9uhqy%d>S>{Pk-b!9&MQ4!Rgo$LpSQRbD7@Tf&XY3n
zGQN?#fY_?k!5aE>l#KAJSe`nrCDhqr%!3HKFP}gt!!8U-`B*C-v`Vz|)Qf=O7X|Tt
zwdD{5Eq5#WUuG<L3T$?JOcTs?J8&?8<POXsOzssNJXvf?V-f6F9vyBE_mK#N_csh9
zdRBJ9y9s#>hzkM%p#aE7a!DK=_8F4@9bGt#4jpI$@Gwg3aPinZ>Ebx9r$%AH-Nc(#
zBz=GBY&ZA*ot9C<Emwi7p+RL^Hx;^>4ykBs!ecf1i;4vt7w^W%a`W(j2&w>Pwd`zT
z5MaR@apA_zG{t-vZTB->u6*`5>zwzk#}?Vbp@?|vvdo_d29Sw~-)lG|E-MFL)i_E7
zFi_~sMFJRfyKTx2=mniIsU8~<I_l~s-!sXF!Xj^}sC1{toYa_om7hrymkKk_2b<6G
z;!#p6r#T+VcE0IUAsQO+F#SNFbu`-od&5=2m7iPXVB!H{$HC5yr*~=&1b@M=hA&kB
zH1DGiAdIG#If(_>$9o#P*q3i$8iTCyZwvM-9|+Z}SC>Dls}hYNqxzqZ$<f`D^=U+D
z>==p~R%8Pd_|#!Xc&Vtl?0@r*kP?r$%k4tQ$~P##m((ZrIO);Li<#}liLk~xyo?`(
z3EhZ2`J&xY_3U;p{dH?*CHr0enrw)OT|B@Ef3L2iqx0awW9EhrUxalSQg>Kh=>U<V
zp)sb<d=}0uKw<RiCOG4w^0|W0{p9)eOwo)MOSmafi(hISWlW*S64I~r!`b@7*K2w*
zuy4<=h0tT(_*$0&EO%+C?d!X)AVDD#2e-IaDdS;tgll7Ub@i^aTx<l>H+p~-|H+C#
z^pC*Ys}}zDDhDszaa!1S2scJ+14#uIslRCZ$$Edv*zT%DHR+49GrJSf?g<$r1r+1B
z1^P3avGLEYAa9%ahGO2901Cw@RG!8@eC4sw<o4lZ<Jt#s&=>!5qu%GX%eLlH(x)~p
zI~-RjO}2>eAxC5HDRi^6-6c0uQGp<|rE0-$57Qt1dwdSI0c-+{MBjA}9^1~sK#w<Q
zYDtn`SZD>Y13=<|5*|LJp5o43R{_@R3fgOgQgdNX-V&1zeT|QOZ8oO+>U0D06tk=p
z4VK(9EoBN_Nd>^!nGfGRd|qeWzMWe8JUZ{E;5~+wMY@i(9bA6)EvFVrV-Sbh`XoV&
z8_Ff9QF4-EnlJ$@%!1e%OeN<a0gPaa#D4+_-!Q{wS0d^1kp2Q#3eA<!5u!gZV1a50
z=pM4yRu4gHbAIM~US2N(`ZQ*!l$S%DK+FlxhtuGj=PJHG$ACGymGaAkLjelSAh8o|
z5oY1dIjixV1sJ`ZK7YB~$!0P|Ztvg}&;pEy>~CM{zY7P~(9*M5&gTm4TdzkAy#l;v
zTH<GS>K?qg8BL#}$b^7RX#+6%uk4eoOmth-$@BZ6yVaT1o`*bTAPyKGbn;LB;O!*T
zw_!e*T<j5BMG+}|#v5|;1&o{)N(yr7632J_HTa~Hc;NbE;pj<NzFm2qY#`Htd$ieE
zRuimj2;!*M7JXEGK<Q*E(iy@MapB^1@X5j_Ym*9|j>z{*&EAVhL@am&9f8q?G4oAH
z2@pfTxa7x+z-1>*esq-^<PLh(7Nm2F*rYz#exNMffGNxaB2hs67x|GBwO9S>x9y)_
zr-4n6H})Y`)D2ifmOkZV_Uyt!1~_`SxeJRQ7#bpx%ttrtAVv}bqdtRT2Ua_X52X(J
z>^AiXR>KKZ`zI%@S0QCS!k2h^4<1M_!ux-p*Fq|q+AKVUAb(t;Y$gR9(jw>SK=u?x
zb93{aR2|#e2Q){UBmMM)XrUaat||-Ing?QF7%MI&s2;uNb&p8=S)D6q6?05Qh7tPE
z!7tFUL&SKzD829NU$s4~fc-sOTfp|}N0aI9??cftr-?J_KUh{Wh=a0`nDE=0FB!s+
z;AnWHkj@vFj@*Gl1T+W8cGz;@Xm11oc4Vh+;v)zkf)EnK;e>%r00wZN$G!vUN?GLW
z`FGj+U;LQ!C-4V?)L}bMAqkoav|?W)CBukn6<$<q(bM4-BqYEPbjuKD0l+Zty?YRy
z4`C)qIxMopow1w47zj>&Hs4bPcz|2H&rpk?ETLS^xWXdi!2()|3?UCr)I+xkEkyLD
z8ytwtwXV`J<{k?z-tEI8CW#T(cAKpRG4bx%EjO5oP)jn}LG#e<S0_80CNhmfPc{?<
zXsoO6IQnytUq?Zg0_-hRyf*~#4s%BtpG~T<5Dy>%z@j~3sS&q~6~07sC?m%TgaK6j
z9e1x8t%0^)Zv!Cu3%keeLIw{0KcC=akOEicfBtLe{2`=?!n@WZkT~+(d-3wuXmzsa
z9<WU<6uIV31z(3l>gQw57cGo=Z<gqKi`$Cs`>A39xUR0jn^#lgT55_ZE(@MoG%4IW
zPiPNv##r`C=}K&G)5|mUfh@7GaKmeFv4CuU@8{q=+!}C!fXN4&P#$s^Gk0$X`K8|S
zxT0Ji**7VZI|9dwsn)vm#$ldyD#xP*E5@f5otQVXbHOT}n0Q?;ap`wPcOvn9t8Wpo
zGifZre;GbSx_x&cmcH*o<qYzG38R>P)uI4*?d$8q*4Ci9YEkV0PH{UsAhZWG{65{S
zP{HQ<t5a~!El+F5;bXo*AV}jhJnQS@swxjfX25%|%^c9iOkLHS^5bM#ofvHTpvRa8
z&`sClCmZ+&puj5v%_xZGkN^(d9?q}q{xTaEA!@RrL2u#hTw=dhuHLP3)kLKkrI@Gn
zGIukj7%AJk$&q&l9R;!+M?MHuqb3^W9x&t7d!wD(Gg>4;{2pLUsP3}mEwR1>W2SAL
zf6?2C$EzM9asMA-{~gYC8~+dEZ?coU$=-XGooupKcJ>|_2}#J_TlU@|D<LJ6kWI3(
z5|Zo`(fxdNeLmmgci+F|kLx(DqXTcRah}ifF)4(b23#a-4(ZCr@>?E1?3mo5>k{wm
z=zz>CNz!4HYs@!S-#b`L9;?c3iriL9C5ur6eq{4)$e3C)oW$onI$^90g5?1Pi64Kg
zpR!0&|NFdvR-C@udG*7<>;CS9nC6FpdgJ<RkL~s^Zs2kuso6pn%{yG-MBv!DEB;P0
z8RGj^v-qodxVW5kM<l13o2RmU%??mxD7%F1=y{PQHD7=xUDJCe@5z9fKaDA0_tXx_
zme~wvBPk>F6MHi3ps_rj&Gi2uzaHOCy<v;b5lZ;4Bke!YOmgq)K62(kp+G!9<=~5x
zuh_&33Xhu~(HGAzk3J#e8_Rcj@W^p$=iNUFLcV|1yB*2Ra(MpE?|J`K<_2fU6tTp)
z5fZnsakJobAlxbq4cYLWaty4l*H#|LP>i#vk(B!$^~i0OWkbEv?Pttq`)qrNsS{q{
zA&@;&-$|ss{^LjI?!|agu)*C3J$R`>nSr*<^XqxZq%MEfC6pQWojt-Fne1Jee;mT5
zF?wjou*2o39SCo_#f8E_(!7IYm#Qd2ZyRRl;f3poe|7ZC|MsMd#n)6S5hEBThwF>J
zY4wlBs}7gnJifo+)eltXUj(It-MW;BUY;XqziZef;_uhS8m$ng9HYAe$awxrlCwOv
zL`OZKK;TK5S)GyXU_ng{es5mhS9kp0XS|o?j0MT(v~dM7KIxZ<GRiyoN9J@x=k;e0
zm2}jT%2V(f3&KhVfqO`71pH#yVF!>5dXNqx{_9d29{JM2s`uPJ5r6x*rEi6<E=eOp
zO07obIz)rn2|G)laD;!_@q4}G*=USMKkCKNune9#{9Y6$g+IXuZaNuv9Y+isND}mD
zD{M(7l4tR#daVz57$^`>%j;QpEL)sX8uydHKwSt#G$;^&b~5)KU<1r2AJWpDlw!v?
zfjJ9LPFI+s>iKrwzp~~L=k>ujJQBeT8v$8{%JqUzZ-`vPxG)$i?+&o0X=n)u2*AQ-
zOIyGh8^(xIaA&`saf~0HF5vCYtW(+hrGa4T_xVL*JPDJpO{8SuMqS%y^bn9n969Vl
z{Ly!0tbnDRf|3&QuE4?&1TkZ!B<%8~N%kgLL*-r?t{EzhiKeufO>rwB`5$s6zCOxD
zAY)N>I}<RriMER@t7`M(PLnD1Qz~&#Mh%*)u{T4d*D%#KjY4=bWUCK$W1wu-rHy2)
zCT}SY+m4@W)lCeLXT5j_)X^)?wLswB9jkDI^z}(m=3pzibRPt00SMp+);qwF!!R#{
zen=!0joFtZBQq0kNnF65l4kpl#oNRe^CbJGgoY0Y3?Cc?h=AY=+b;+y;T*etlap+M
zR0_7+?gEGRE7^hJAu~CAJ^+COU-v+fAH+t_c;x2Yo`Z}m>uqICY((RH%xJH{izf%n
zK8D$C4yQ-sJMu}d!axLt%Tx%NEXLTv*RVccsQD{IN=AS(0KL2M6!`;!K_dnpEoWQX
zHAogagwwnEqw`}H3Kn^e%R^0YY~3k&qQTyq-g5>9oUbF$*woTO_V+6?{N6DcuuCQS
z)=W<2a6enbLd_LoGen0ut3~j^<wr*VZ@uOu4)7(A#ttj~S`Ag<(7Jqa@)ZITi*PoB
zaU4veNrTK3jm*_otyRP{J`jiirY(pcONxt&i+Y#}z%6pvg$|LWzZdtV>47u`eBd=m
ze_sJQT9~(*!m*@7>Yp`44ob6>_l*Rgvsr>m&X#4~1jinDLSRt_?1C7Nq&O{V?FE?j
z)KVw5TD%hqt*La$;ADQy{3h~JHgT5M)ZjfG5ytekl8?^5ot8e>1fY17*Tr3NsB^`w
zw!puHUb>b3B~^p}x(r1el8dz|<_l$IM}3JTDubTdC+C|a!=`g<o%3_QfO8QMtG!v7
z|9=RbD^j6|+)iR6&-PC)kxi>9pn6DAD6&KWY-!Q#kTC2(+wQMTu5gY9DPK@&Cre%Q
z;>9npivlVPPDZ490t!Z}iE)UE8~;%weEj@B&(5KZs`)-LAs^?@f@l}InZb#z2)WsV
zu@m=$q_Q=hx3*rD_TPi00(b{dA&mVdxW!6>ocaSDvw0-S%R2dq3JmCKj#b<aIDYT-
zM-g15S&fIJLq4@sO&#<^jn_&1^tV1Tef^i5*B>ysDO#}&$7UG$V-)36%NhwBzi`FE
zNP{T9uFzhCz21O(dUEm*M4C;!XE3rskk<{`ZIsGe9hGIo>jY{%Si1^uW$|DABKUgg
zFI)smP=A30_72qKs47PP4`|37z9%i<`m{oXx71NM+wIz|3|5q2IElOnwI?qvK)6Io
zLUaVKInU$9-@Gp&y{jeu-Mby+msncQD$@bGnD{dCt>lHpFXp!-0r&E*`#tN=9a&%9
ze=)yvF~JCN0%d;f3lR(yFFv#@`rek@0hFRQm|@HrQhBJCV!O-~b$R*tWYVz8f%HKx
z->U?2(4HZc0VbJ`pb6z1xo^+ivN>aIsaBk*zTx~qb{MPO&t33r(EU+unCXPB0tgdb
zR#Z?xrU&^=B(4>u>evH^52!$S&xGa8`vs>Mx0SP0(vWL>V&Y&t@%|0hzfZZ+m~$u&
zAIx(YD96Uh+O$GQIzAS5VmTCE4mBC-xUqAw;VyESIrh+N&3nhj5be#UCC`y3^+%Bu
zr_^{wu>Zb<8vWMQUnD|XegpzvxYws&%N{=d@gVKEo@Mn+J=k{i&13ASUpu01|97g%
zR%`ozsHVDIA;>)?V`8PkNACs&@&GZ^V;S!Xb<`uw2RINMfaPSw0l5WupyG6myRv4s
z`94wXLuSmS5RkG!8@6Xw{WerRErGs*0S5!)CMOS1Cjj;I556}BPufL#A2$k55&r@w
zgeR<xki~}>6kh*qZMYKrY;r3IAPJ;V3m%_*r;vY_4<|wF^%6r&-t=tq^qW1)SG_%s
z;>wf0^=1cc4&M%@GA28l2QsOK^gj1FUHwY6@l_lzd9PiBzds6lo?pEZE*}(`qZq?~
zT>fpB;jTtM!pwb@zP2d6og_S&Nh|moMVo8j%DzN`a996P8WiyDgZr>DJx7Bbs^GS<
zwOvzGS+h0pc5h8vu(AJ+^A-5|zU3jAdxQ~S)q#r`$h!=@g$Zva>=w-<lC=QlgEkal
zl;DsJ=iCHam;WcH)AcZiLo>(j4=51+{}NUN^a{K88x}owJ0T#^9F8*o>>p&5l-h-|
zT>v_Q)Cc(p*I(@?fLooo{nUxp1)UHDd;;z18z_Z<{Yc1VCMg3Jt_yH4&434eV#^oC
zesKGp)!sR;S^CS2j3=<9$8H2<+Kber2^PF`5aMx`uPQT}j5Wg)s&8@9P(*(p!e_fe
z#n0oCC*a+!!06cazGO`Q+u4y-rx?vnR=2*oy$M03`-(aG6a1A46b))A)mu*QJ&&a!
zhXSv)W214mtW3&TpF7tcu5>o#8(F~ne=b&S2Z8`Xnm%f({&RxvnJ*NM*VH_F@M9}l
zkA@&>pg+52ge1+|pngNk)L!d~yIQ2o3S4Dfyk&^?=m4q*p*27A1|qu$r9dzQ1|r>J
zAa1<W4U7(`R6$m`YcHG)GwEFj!#LOS23JA7Md$NZuP(MK3$Ho&@x=af!XjNZFa5n>
zA6$-8zu5hIL5KokmktNx)Z;G<l1DIOVWEctZ88##fr3gbIA(4@Ov|@#rS4?4I>Pw2
z&9m=ZGTs725WN4E5?F=pj{4gM1_&9wHBk;yYd>*1`ZWLlmbWdQ4E3#!A8qfx2c@oP
z1aJ=OGFT6HKWQ?(&K6~mkB$i#w>lc*XpNA5L3r+tj29~TL&-Z~$c9_u4NP1U&el+2
zS9+n<(~3rl&5o&&z88f<D@8O^dH9D2`xY3yM-K;H5)J)q2rv9_S;iS;Sg&NfxXOWi
zqE9-U-LbE?tGl5`iE}%^#_0EC(62R+BrEA^9a$)FSjYkvH=RR@S>CN$cikB~#8*-#
z5Dl>pQ<~qsxkOEe_=gMs{&7V4|D1J<@{WYKF37=zS_wcRj_QZL1_Z+&3!{IuA~U!i
zKQIaa?KBET23^z(xL0Q$NV5eTSE(ZdAiwWH^L^BwzckpQv_T}G^5q-Ho9tO-8)!9!
z0g9vii15)b1x_*-H@5{~!;ZElfkFVp>T6>n<eS5F%y%HjiYC>UEw206=-TvPhV`W0
z>!<SNEM``wXVf*fB#GuYJO>WA(QHP(qEI;F5}A5)0-@I{`iD$SBhVzsX^pCDye^p7
z_wakuv$7sP3^ZGqCh=iAl-F9(570MTppNf|v2_6X*%EgkY^oXRxb5z(7xWEcJO?%1
z&RWd|`crF-U(+`$VTtVxY99L}MBj;{z7jy2H~0(+iN006V^o`Pg?JeV<T*uRRsV~`
zyAF2ENz^mQgerdd=l`9LLJ7VX1_SXQL;?UQxv<xC!J~BcBM_(p)G`F_DSK|T6Tdzk
z@S@Y-)MkNRV^7FIgSak)&Zjj40Wk0bGLT7)NP>aM0_xSL|C&5<y_kGyguLlVD<7ki
zQ6=i47%OQ+ChW09ONZ$coOeH!YE@xL*1DkNP{xL~RQj(CH(`n^*qzX*Xkq<?k!?#r
znO&Oxh0Jo&2fr8pVS5v(T<YsRT-R1>Xm%xpc|ObL-)jPt`26d+a;dKB4mXcFftv>y
z>Daw(m{VZ+?|rpjNxAm-7Dt3DH9A`U=65Fwab$S}p~Bq!JoXPrA)y|m_S^k@1qCc9
zmG}V-UIfa@%2`r@IpxWXN5MWmhwwsUT~nNIb|gdvIaeQB-#IUnxJ3HPSMnTqPE<EE
zlBB(wM|Nx=`CkEA3zYv2I57WP*%Tb(El59Nus4*2D`}yjBArljIJNqbsB$v#eCxCL
zMp8VQAvjiKJBTiR{r38~0V3@Vh#XeX6`tu8mK@T-D{{iu>B)ZTRc$uo8buGX?kZ4$
z_pi-9?H6wcLvXwKC8<yA-V%{Ixr~I;xC&L%tZernsl$vnv-r-{1c{qOI84+++My(y
zg;kXi(rki(`O`2e!jTT>L1cP@w$0Y(&!G#nnRk9+!5jo8eM;2I`G0_nqisKu!`y!Q
zA4TFh|9l4yyAR;~8UBiPSuGVX)`|7)-p<njUo2VO`9@n6*}@I+A27*(Z*v6;8R{8K
zqK(o2bYM97!JOsFb^eQze5J<XiIcwUEV-!e59=t->77`1Co5~5d#+PCY0<Eco2=t7
zrE=~C3`|nXMhQXkL@>wo1D9r}R@1ttvkhLd+50^448NGu>iRtH35Mf;=)&$71PTT;
zgYaAcas<u+%+VrenxP|4*Apcx{O9>neEW!S-`?^{r~bL0E|%m&FY(cD-tEd;-+-(a
zCP8u{yus+$rJWcl{?kLyrAp?{UhfeV4Gqm{7i+%OBk)2a4n`!$3RYtZUNevM>az*{
zz}^?9YJOPkd%%bz;wIT=-W83h)&S1g5>foy*CgxSH!Z-31&$Z7Yu6&>ixruPzk9vS
z&|@Z3!=oI{W{WU>(W0!R*<c`MBiuRc;L}L((QYm;<)uV{PkJs{`P25}pnOmxT{^@A
zjB~4jjfMv&3_v!BIYBU%7mFUb!&o#Rp}tx!bhlu`Fn`>6Wp*m|9XhH%KXmfms6R-x
zK4AXT(QO)L7`}{$(!omoXs&N^+fs*@VrY|G_c}@AKQhPiF6!904zE%p8yy7_3Hntf
zk?ar9Q}!F|&xqn1I(B70uEkXAR}!qZ^glRG+r`&dE*<AY;Rki&qLh=~81owKML?j}
z(UBLxMoBJt|IME1kS7j{r{DEp68s(41hJNPw5#fls;RjT{?yH?3EyE8ViRgLHKLZ<
zu#Z`CuJ<#Q(dxV<YBE^m{_@M+yKnPKEE#(Po*L`vO_+V{5NMkp7R1l+uc7}jIpPJC
zWZ^{IK1IS|jPZKtaC^BT6zl(L*rJjRud(DBXI>R2q|QJ6;NWxbp4fw8mY<qVHJhg=
z;U7oewPD?2o{&!4ndpW?TVjSpp|~xo_5W}+N0-(xkXh36434D=I3_^<HL^FJWDKpt
zEAtFa5ise%E>USk;Pe9W-%wU??0<Y+<wkvNQjCaT==HDS<WGNE2i>Z!F@1Ja!m8FN
z8*l$VoJ}nRQY*ko=ljCtFm*Q*!HpP`RXSnYG!_^B8iSUyclXyh!pmw})^o3o{=!|?
z-yU)lO2rhWX#UZ7P{4iX-0so-Td`IkW59|DmFt+z>;)T8xlsO^!kc+GSI+jPqny37
zR>;e0Zk^lkFsg55&TO+KQeVY=U?f{((_SOOCq&sg%*oA7ldxTq*6q*?>>xQMr5XRv
zeIN6Rc8?AFa`@rky1DV0oVwp0m^#!mo3}{g<k+VPh$!g2avdDjq1d!(rPtj)jd`B^
z--#R`ZxU$Xl|gcBVN<5M1I+`TU@%6)hXAmLZ&^M$!;WzW5cD60wSAeAKL}i!58433
zg_Q#2NOZf?{e#rvJnyOo8HX_Oyr~i-<2Q0Ho#2Iy-ItB2aDLMJPY3o8^Z4kfss`_+
zdSd;)gK)D|m|~5YZ+!FbAi92P(o~a7O;!?*HnU87`DjG@=*r2m5sQEc(2iIVzb0NU
zwqWN5BGLotJG#2SQK+mFpglFJ9o@J*PJPxZWkE6El8QU_a<IRt#3A3g)f8JhYK$xK
zU+7HgU()}dWD9f}KY0BZ@sWTR2RUa$(h?yCdU!HyltWY;h=LAcGNDAS1w!FK+Ybe`
znv;M`HD<nQBR!jg_+O+j6JS;VM`)==5#1O>H5>=GL(MwqG{Dii4K`oEQ(?8+1;Lc7
zE7WAg^3-qUvxxN7CS@QGVCr34=7%@ly|b-5eF0Pi;@bHvaPnhO3N&fsF~t8(FdhH2
z&?%qrT8A9&eN^P7xaH;Lwe%gjrLW$07c|KPB_b$eg!=lMAm+*bGfh;lwMH&zvK8na
z0B1UL4;oSLKYjJ$#V0%Adwxw`nsNR2(NLc%Non^3rD4q}y*^HpU;Y1`PZ6UKK52%I
zV@2kD$QuIF&KpiWKhUz!bSmlw!4y05)C7`HMuXsbfgaIUoDLjX@VJ<_IE@1s=t1}K
z|9F#b9o0U7mmdkoga~?B7&^e3^r_V~YiakNkPbLmFczH9UxUj-K5^fuJ9`BL4TZ4A
z^?QN)?atLsgbhP5k<F4g*<Z_#1!S~6(H~74-tGcUsFa-lzjgfW_r=Z=xqf<^A^go=
zOq3j(ez}h~uvbg*`Fh+#!sSzT-<G~VWK>Hfpc5ZkXvC(%%TuOO7enX1oIaJV37kE(
z`tE&;8CbJ<DMTC!NaW#)!&w&e!S%V*_hj<5Xm6!xvZoC@tOZ=$x)VV}L&_lv&X+;h
zoR7i03vv{2@Y%{-hEz#PtuNgDt{{&@)Z(DuV|WMy*KVgPJTj=eZ!jtIKKPGqDP^wT
z70=UPCs$$$|A#7r&hpiffDrQ6j8OGaJ(T^3BPtUVzn{T71Y=~3V$Ux@4V*^Px=^`g
z<K`u<a>y(lzWSiMjAVb0>>)Zz&MEQ6*oDOCApmoa2}5{dCl(fX)kw<xaPtNmJDz%H
zL$|EPNnjTYVhRj50LSHgc%yHPSl-s@7w#Xh;XT@W%+S)>`fw|SLn0KkSV&m~LWDu6
z(~0IXY!MJLb@g8bqLzd7rf8}vtErjUal$-qh}uWaQ0Y;>;e6r*<$gFwJ`-a4_eZFP
zG3uztyhGJeeyS6?TPErKucjx^1{)@zG9vjyyh1JEt)rufiHWd#%LIh?eI#)v#tCsb
ziS28IV8F~8y7DUg0&ohwFQlEE8RQ(A-&Z_#xYV5Db~Zz^+0zC#4zHa3BnEewH9Jzh
z0;bkbT~cVE)qEmoeT3(R-;3nZz&eL`=@48R0t|+m+ytp!!qg0d@oFp&^bX5>L@Ut;
z<loiVIaE_BXp!rVcBJ7wR5C_A&%W-2v&XCOkJHmD;)sOi$PlFR-~r~7c|cvOu~Ma0
zVPJjJ7E+Fsbam6M1Xa_dE+w{%W?H{rVX-ywc@P9yVZ<2LR=X#Fdy%-XI*?-#q>`f2
z=15%dG0-2g?!n0+Ysdt%b&hoV0YN8Y!l80*kCXz_$L-_Q4T|s)>0XUxhQLjTTX|}<
zO{y*J1*?0W%eEb?Tdm-8Kn8ot*T3FEjKk`2AcTe)8bXq60Gz%0B_(}hzkUB+mg|?^
z!Vw$zsw$L8)x}<LPH#(%TV0$Ek^yb0{@o%ig0}gqF^Y1w&RVFOSjyO_A`CKugCN7A
z`m!<%6acaXpH`af(SIK43bcKpl7Bp&Ka!${_rF>I3yalmjElQBY%9h-$)c<|cVsGv
z)SZ#zI)CAHnLXT)_qAF=3^Oghk_pYL#FB^jhmCoSPyT=`;CIsBUrG9W53U0{auwlc
z+Fl*=sXGf&(OvggXb3*8g$y=Z^hi8CL$Q3V!zLrLojY$*QCvUN0cs|V>3h=mk26S%
zClZGAtr+r2?uBDfKKVI$5r>>>lPt5HDYTV(T=LzH0y-CS&LfxeGDkPCD^{a!S5Ef0
zP9>D+UBVtsNWBL$ArcM)QY=wdf=XVKcDXvKxT2nvp946>A|C`*mJ>9-!pcoGZl(MQ
zL`2A{mvoP8^T_H?ipYi?r$MZ4vY6I1n_5Y_%`I{`MQzrGY#^wzDl2oW&8{OV(;f_y
zlKI!ZmT<@R2+`b+Z}d&M&8p6(w)&z})*F=7>W|!S*$}R@gf=kK++Jzese4&k;{pLh
z<$5Wqin{4{I}+BZ)JAlb)Rm6nzvGHeoWJ`^EbsUX9(S-v!R!BIphyIt>(2=#DkRVA
z3gtiQLR>x?jIh6h(kFB{q4^IEE4K6TT{1tn_Wc*$Ha*Tm;U$zqqd1a1B{9eqE)y8q
zH5k$Z7)49i_SV+c_wQ4p?w-sQ6?0_C0qhDPB$-a$Pi!^#s+m!_G1Ci~=DTX%!i2n5
z`xfCNs=aygo<|LTVTDi;r3!x+-$<e;Ole72;uSyGEIqoWz=K>A9{3m#L#N;pMJQXd
zuf*|-*|6Y+#qYinvA5ot2Cwdp{(SlYt-CuBYTO}cO8pL>-LSzb!D#smZifH+n2c9*
zz++_E!?OI~!CAlQg+gcwuZ=QeK0$ka<zh|=XY5G3w@cz(cfJ9)+Y_J7hAs8l{k5#9
z-Z?ZUtV)Fu(XhZ<1mxcxNxDSXMmW>Bo_)nGo=hCDBT*6(@a8fL?Vny@rp4@57ld_p
z>~=EbuPrWW1a5%fzb~aF$1YCoUe4j#OQF{?_Ms#1?uJIX%TPC$Gy<K>C#tx6_?uv3
zFEys(gQzpec~pbS8=jYym4R?yHywrn?WzT_dUFx4z?W?N+<2qw?wK!5zB3*DZN9&;
zubZ*4+Ff{(Cn4haQw+jLRB^0ze^P{paN@mZhFT}XZN1u}+YP5auC0t8&DKwEHg@TK
z3p2ghPVpkbh8Q>QJw=r&BSvcSz0`s4+q1!s=<?p#k@VX2kQD6R`S9TR2CJPz!Qrdj
z!`PDdm(y>stF!ju8VJ5ah1@8SoVCgH?FEZ;W|2yjwz@aY!<#qXfH4T-rz&DdIbOly
z2;;#o`cQs9&|h@e{c^sL8*xth%#cFMhR%1*!Y3y&M^t!4uO2x+e4B?&;LW4=9ynFh
z^@|m5x28z-S|ed4%5+OpDZm#{?<1eOcIsQi@X_SAoxEybU<bt2nbsBSKvPUk1(?d;
z+N4Ci>Rj~DC3|?yM{(G+gbvjgZ2Udn))2pcoH4X#5Di0OoYtY%oFWz{PwsK>leac+
z1o&`{4b|B9U{J?|;(FN6?*alsgC7|mAMbZ8v5JfeUoI(bnhViDaL=MdfSsXpHg`|6
zwN{C$YVRJtrY22xZtlDn&c6td)0cO}@ljaUCcH?Mbd9=}Gu?(Sp4=!gn2=`DOTVp3
zQXJ3H)ZEl!>Q3qCU~-Lzhi9b%f<3k4BaZxjS>FwsZ$FUkB?_H%5=~{rmAf3<!dPc*
z0>;xhw`&0x(()T}US9i1E+tHNfk&H%BtRxZCj{W*5fKqL+7APguCb+REGN-PO#CeW
z_u^JZV;3KC$;eogj*C`LuiQ1Z42&SM8QX?D1(Qsf(KpC+xEYi@6RJNJGc;R6Wm8gX
z_`DDl0_)<aBIh|PK@hVRq^FQ75u+4yuuzr*Rj71k^7CR+OV%<I5^qJ_(s9)yVQNjt
zTLHsyR9{KldytR<g#n_|Cj|w;uWZ#4e0)^k`XX^<E^Bg|=+;P-`=x$}Y>y`@(W@rW
zvOtK7F*bR6yTLf$p7mAnQ1-|bxYRa{kRzr>qB$wk5XkfByeObRU)Z|K$adTFF2nt%
zo4-G#vz8OXOH0JH>>Oz=_&|jcp~4{b8bq&^0&II5%ZYF?!2Dk@Cr;E+B#6&4Q;uLX
zV{BTr(^#m5o7Z|j1rxl)=%cm1dBuC+<d?!DB+$@Pl!hGRCWvc&B_pj(;mgcSp%@fJ
z_`OsK@AC5UMgq55O?R9c?$=%?8m~H6&Mz)E<l}s*+p0oN9#a+Vh3eLMN~X77K|Z_V
z_u;cH<aT<~spyggH}8nR$NA4h)IkPFro&n^#S&T_w}VybzMoo{X_D-_$-pjIOHP$k
zR%kK)^ocXpCgJeK!V`}{$Xnq4fuTyL;7`Q-vaITu(A~-DJ&0F^hZ73*$&`}%N%66u
z6-|(8>h8+3oGaN!n(f(JC1tKp#}48d6*)sEh}g(=H|FBtcx-AKCj4uY1i~1g9*>bI
z`Obu>JJh%NNjV%)N(C83{lkrQDybp|1_#m4qq(!%JEp%AIKQ+u^pSh8;OrA68gK7A
zFYgQfDNqYeYxcV=ERkx)JC&9Qdk+Sby)mR;D|b6C4n37oc#4gkP3WjQKf75B3b=o?
zC<;mNh4^g%pe&mCrdrI1rNp`^h4X6~4L&|wsp|Jw7ml4$k5bFFsN(xxDBHq$asZbc
zz79{CZ&FqPRjXgA<$l;2tbi*ub)=Pf8cFEs;Zappl^iGhvjCCh!g+z8iz@~DiE-UW
zWa0#z+@o_8XwX|Y)%EpQA;c`o$qX%5*ZE>s!A8^2{*@+oxI(Ym+uIw8g$rP89;xpH
zaR)#jro0q&M#$*`s)Se##|Pn2C;%PA&Bs{P-~>0#PfHU4_!Bs7HA}-Tsr%{NGCQH*
zNdjE-Ghkz2QCivsYuWGLzhMQ0gJS1f8#T3PWSs*<S;e6_yQHc^a&G9*@}yX#?$p|}
z?ivRN$LDi;f~b5gN6ka8vG4&xrCoWZN9nFpdXbsYlKQrqw>!|})S~dR*Th1@z9lzT
zs{!Fa6<J+VL(+wv@Gbf+h0z4MfS%@O!5y*a;+D10WNGq8(F5?7(Gf&xRc^asRzch<
z4hDLPDh3MX$XWVCer6~ssIJ~J>uIx-l2`8f!;nIusINbC-Gd=dQta+>_vhOEBiNH6
z!`-BG+|J(K0!$5X;{ovn+2A%*wcLJc%(Sa-VBm{*oh&-9QQ<>^K2O0l0vb`(3l(uX
zByb7_F&q>@lr1ovuvh^IcM6pyi0=sQP{*PYa{PlB|LozfObU@x)6<}Pb_8`IoVS3!
z-3e$xflNj@i5?Cvbq3tng!Ise1bPGD-n&4s4WsL=+UbigSIdb~7=E$cOf7>|Kn9Y`
zaSK<SM01eJ7&tWTnD}o@j+d&ycjKc#HF*wn!RUSQf45^Zh(u|8_XN(oH;Jes$D!OO
zp<;&sgs|92KiFLef{leNQ(4>Q`IK^fTW+b5Z#Y-qtPsY0J7i`Xc2MQ`B5U;hx9fUD
z;i`uP8l|HZms@2V1>e!#pR?7t30stD-A9*J3jxiU6jn9R=WA8M`?|+~jv6B@<s5Wq
zmY_>4n3-3g%mJK!2mg%rP`Fo8vs3f=+`EB`Cy1<yj;r0MKVsIX!EzDE30VB!{dIi^
ztv5h9fhp-TU^0+&yVn18V*}LA4ATC0f9<X8Xq`db)d3t)fW8N~{;#yhf;ehf{0B04
z!tUmFZ5|Y*!w!epQcbhw{FIuLh`S85i(&y`-4M$X1U+y2(n~*L)l|+7K<WZs3wVaX
z2?dfH@6yo?GXTjzz`VK@NO?b9et@v}@1wuFe`O#w%=@QD^DMhoo;dix!OjB*FBDFM
zJc9fHOsG%6CBF&L&&$Vw>wyvnpXiZS;TS_nSGiOO<bFInLmq8yL!Z$Y$?(uZ6c6_)
z+WBRaFys|cNvt=cXWq7PZ#_wkRVM*G>|ODvy52iY_fccq?HZ-GhZ!7A0MIUU2MZ3|
zHW<a1Z#WU3*k!+*btqI?xbg}j=9|GYxiuo~YaOe|JnkggQzHqoo@LGE@1(X}9Tz7E
z;tAvbbHYgIpFM-97_@GrB<Dxo3Y4V)&^hHK3ZnNcAd;-89KfFfA|y9wXGmx_>{P(I
zLURPbOJC&)r0oIw1VQZ}3MpfqgL{hB4UKq|qtJS3B?ynW%tr83Kq`wPpwBFXsz?s-
zUy$6HL)Ojyd?u?iFsX=I)x=~La^E2VNyg#Blk~T7M5kP-tN<u?nDYnVnq=!$e;6E`
z*goD65`-&QMM#RlM1_x6^1i>vd))K)b|b4A1}i!VlQarvBI#8yDf2klp0xI4OK1YC
zbaQBe=x^VH$<XHY<3ON8v&TX&oINsDKcr#CVSVpd=9)oci1+PW6yI$XSP>^c*?jA(
zrM=5tu9{-Z`>|F?v2+|lF?Sa`+d#)y(7JMRhPDivk41?;VD?I5bq1^tCXt<MNOC3+
z)80+9&(Dja=v}U7Lhv7b0HA;OA@Xzd;D>dKcX<pVDh7|<)xw2*TNzVjkG^PPkY{9N
z4M($tBQ12m&jIu~2ai2a+eiuqnPM!_H!QVOtpaIke5~pQ!kjK*!*o(y+)V?fx+a&^
zXh;P7ldKFcwcZE>`sZuCUK&-ow4&NoCQ2+n<<hEG%^Hrw%r}k^f`-az*(%K1e9|3~
z_XYbxDVOA_2q6kj9X;gv=z3>Ec{%2vsHVEl{y+Kkxx>xlDtiK|$|K(HVr8X&E)Z^n
zRR=VabwEF?vBOTCFG439M1_JZ3QAt%F^{y#EsPL2x%ur}t;`{$5|k^}ffzVlT_Nu;
z@9CA#AdiO^O8(&TWM^k14lO88gEUZ4aE1O@&>CdR?gmf$RV3<jf&W3$q)RJEk_Ul6
z=h=-RlDrNwd%zD*86F&JwNqVu;OHtH*cGeM_LS1O&*s!RH<Fq6PuDe@%32M3?2ccW
zTy|)(k@^%78;7JVI(e#F7$YZHta19PQYI4?YK-$jrlF24m0w*{Q?b?b%3TS8AL{-w
zRN6OlmA;OubCT)llxUIfJb6(~tyR9vl7cgOXgpRwntY49DW&h>cMVo$MYU?9pA*xx
zw6tKY+ByNV<KGLoQ*Cf+X_%Q5eR%L?AS?_$z_(i)Of@K2oUA3%cB|H$$T}B4*MpxN
zX4|PL*87zwf^&cV{6W$QVU2?Fj5QE%gJR<n3ZAE1nY@VQt<y)JEB(uo3!;DPbNtJ}
z>IqYj>JJi};%2r6nOhGZ3O3Y;6?6^7f4*x_?lc!XX5Z@I;84(j12b1~To$Vugp;rB
zzh_CNjufK8_s*7N_bqz8$QLaaUH8t@hzmW8>{!LD#LCv>TFo;Yc^X3Q(uwLKaa3|h
zOZblF8~oSF^=-&Z2kKnhM!)>mwz?9YikD8U^Y7)}3*87%OHIdXY*xRg9zlfJjqyrA
zx7vVrh+9E6;Re-2Tf-A859h0zTnWmy0v6}ciE?mu4jQw+YYcxsJ@3kWxGVho^(h#N
z3PF42LBHxN8HG<h@mz@r<9CTgeBq5+C;0y+Fl9N3cEGL&7#BE?+`xJc0CDYrT?Yg*
zbx=F1vzqj21-DEdbB7(25`W)T*v!L?kPl;YIwy`KmGls6!$O1UEAQ|Hth&W<5QJX|
zMb`JerFS}*J@dN#%qwf-Xa?XufL>D@cxP4(x%?AS+qNIK2j=&!Po!!N2^#P+z9my;
ze_Y~*_3jgmQ2r4`!2vnF^Hn3-_lGzpG(Mq_)t(g*ci>ysKUQCr$MMt;b6Qjr981j!
zNIv=UTP<wO%QgoO&o;v{3JPQ+jmoF5eS=+Nx8Q3;OJL<kS}UpwcedwKlEHt(QR(UF
zEv|ooev|yMFzdr6LB7<=vmcTko=7h<S6^OI61EW#TY`m8m7MBi&z<1{@@+&10HS)t
zmadli8J68&AAOoD6jE`6AfFUv1uvY%cNWi`rPq(Vv*d8{`3g4B<leFsu=MXSv#BrA
zy+n4SVsThq@+HZgK2_uGj<)*8T^)Wrk^kE$iT$|%O;uKSvZ+_aMV`X$kRaAUd=8y^
zh5QE{eQME4{tqwQ?!G3b(GSg{u_WzyD(P=>>**a;^%=9v5Y`<WEX%|yC1qw!zfRzs
zDCMs8dW2TD4MVijJTu3rw2U?rM01K95=y$fL+|`02RXzuNvm`;pg&=?wNrP=N{|ZZ
zm`7Ogb@g18f9&23Oqyg=`XuI0wLe@lK;D|q5A0Y@7N66GT}@D4@A$D(HSMB0#TK-d
zaGgZ{n#aPYS)$WKqo>B>9x|BicJr{@bZmygGbNP+k>#DeQk|t!>cXLgLbec{3MvX9
ztkhrhuJlF$oHhHa0H@ez`NQL%S_S87;nCsC`bc!erW-KGk@8G+v9wnAv!|@f<*l5?
zyOq5)=-GxR!#FN7@`+L_F5|0vjtKvbEWg!`buY7(k%Pl=bF3J)#H&I!ioxSmAN~v-
z;HgmHXB(TF=cT2wJPP8;80_hhw|MufD$t-*`}U6T#|Kw}9pWb>EAG4wR!a&1aefhl
z-<&&9Im5#n$*fg}IdV6oUlm;Yb_?DJyvvt4XzSLZz2yx$nAsEbT`Ffqu<@xFIkLMH
zN1P!A0f<kn_P6Wai(o_pChY3{%(xF=eQC8g17qlO;Ad_URcIH!0(af>?0|rP-$=q5
z^u75-foMa(w1v~s;t^PC52}7u76wbQjU!$g(B4|lub%)32A3D@MuEZS*{kIgY92c(
z&~9a50JRSgalBa^g`goY*>3uFKoQ87_bI^p)EhT4lf*pHsDSK+0Q+BYBmW;}({s_p
zwZWmGY=M(2(qF>~9?i*KGRyZA`tamQVc{d$66Dy-Zv-*~9I+jGD^FdK8#U`AaZ@RQ
z*nQu8G-4=irGB(1ebQBk#NWEObOg07Cui&9uVJ>0y49_oY5?g%E^~Eyd(It2MsLyN
zI4hiRzx4=34E}6JyM*;#n@9)hW1t~0JlT@lN5|Ye2>i*2rY7L&zx0}gR#!?UJMgs!
zc3teP^ro^xzW5&)eXi3ac!x^PB25gCJB*?dzgq+)Y2io~Gc^37h+-6fKzlGOU-&3U
z<$xs&^JZ0jeWqh&gJ~<bWzlDcW>Akp5!W&J$^mf!Xc7(^-dGoqFZU7(u(@LV;7tdP
zsLZ+J*|Rb5ZFGG;IPfmm04Xnw7Q}_AV{fmP>!iL`?OeP77Jj%u2C8Jb{^P}z`yaNL
z?!c*qf8zVq;`C%zE-L)N(vODRhMo<y1A_5JwO2T|*gHqYk4jT>(KW>?Xp1lyS`Z4-
zv47)G?E3YzClgyUHPoNWVmP-%S{<C2ImzWYYrZNKGUDts9Z_kkh(}BmN!PA;BB2Ml
zHOsh6aQdrso`aU#z`6LmX~Id<7C=g#be*_|C;Lb!g;i|9r1Tfc;lQn>`7aF*u^PZE
zmAkk95mYEIEq4+9JLF~l8zmwAk=4`21U7<J7)I|vJrL9)f*2JaOTo|Y=TnnrV2MPa
z>cg+HV<nOn36<b8X|jW3668ce!7hy9FVBC@>yz)mR)geAJ_Kz?C20Es4nXn=>tiQ;
z7d?c*KA&dmd{IiK-h^#wWN8UweUj%~OZB1}4ii!U4N19{1_o1WIHR=RLsis>l*ZTg
zp%N`|jX5RSd{CE6NghXYk~@Q2MyBhw{-!D`<YjZY&3hh&yVn<S_r#IGw5Am$>vzog
z_)T(F)_o5=H^fIm+36%|YGHAeAWC~GSfwmFmBRaq3u>UAP~ymO@a^@}BMviO_KHSM
zmNK0`Qo30o2JIhUZTNRW+Ss8FCc?pZi9k0QtTFZ`kKYtcZtd})$y4UjUn%E=Gtg_u
z^M;WOatwhTJUb8WvMektykXrF{`BcngNW#{w@|nVYErx~RJlD}|GxC@)^3ra+SPb2
z456N}o4CwbO3W#$%F4<DZ@Zh^f`fyH4b!vMUY6Vc{j4Lr;3WF>%a>&pG1xwCrLn4o
zF(!LtJqG16B)oBKzs5F=){~8K)omQlDWXsm2{9s4%N)Q)`90iAAENsrT4~zq_fWMo
z9xd4_-s`lLIMMpp4Uh(bC6fmSsBS?2)l#J;ldP%owX*u;eQ}B}YvO&Cw{vtH&Ar~R
z0WnY|P&N$d6>3{dX&hx9`w=;261rpgRfO~LFAY7b-AIhtYjl4*!B2tn|4RCEei#zL
zaSu^7OZQHVdD(9liRBLeYD|DdeFAJj|AMs<v=7k!ai^B~9ScIf`i6!ZCVypgaf@R0
zO5S@lK6%fzMG<rG@s|(U5xb^hZM;%|dg&L1sbs<0I*;>xs(af3RHZ)-e`^)W!rfHT
zwPRj-983j8;Bjm$ESE0NGEZS2sS8~S=NAiOocj1Nb)qS+#;8;P{5fPE4X<V$oeq8-
zTy0&8Q!2OVzCqB6|2`S#7ml+qRiHp9HY&CRmW^G$gBaMXEqDQF+?uSc%}qo@i-{&<
zDv?u_IXcAu2JeRBy0d=)M7_(QRh58ygSX%0@i;|n1{oQL?y#6_gh{CbXK}@};!)O>
z_aE%2-ff8V+X$(p8gOTfJ59mK%759+#|ILRFiC$~*5SCSl3KSk7V+>><wT4_9zqe+
z%KC@%`+<u&9bL8%YTuis+>VqKb>rXK#9w!E+8cXmC2P4m-1-~a0edn&vGkr$>%?`z
z&em4LR93p-MC908V<l(|jYg9}dC%ws^ZvZKrN*d~QAv}C-VKQeq(&Q=wVy&(HHHHs
zt&KAiLWU_lbh#BV$ql2+1{zKxO?0m>!1vb~$*WGpb(JeJ5`ib-whCdnYYnd(4`wRo
zO%0vBu##~G0!+;-G@7tD1jG|DP5CTpE(7wr{s<bx^h(G3?)a&I4ArDRVoZsR3SZti
z`wcA?Dshcf&89~v=Z1dCN8`oS(Z-0Uk_wNd>Y4@uN@R1g-W&#L$A-b?4`(YcIwr;7
z50Ch7#WN#sa0I|}G#g%4wnc8ue`wKq-i0LVUr_;w8piPcOY3ibx)-*%iqhm%D1`U1
za#8p=<B+Ed8$X`*Xdc*BDwqCc%nQ#l95PUl%w0PE>E69lND00c$f>#bq|OsvT;JOC
zl6kc4#EO%qZ`u6LyU-&Xi|-w|-Pgs$2L2{5jjRelCMP2fI*QYu81+So+DR+g(=fag
z)hz--sNXCH7iy1!4x}HQ9yz~WBHX9B$JPt-mG1yFd-PjAgwL<ajw3Hfg@G5Hs{PD_
z`tg%@8;5Kf%cDUWw{Dyo7=mLfBX&(ZWoDc>f7Xp&)Jezl3v7E31NFk3UoEx!k%Q&K
zwBRRitlkd{sQJIWEB^iD%p?Tg!dCi0mNS(W5my2cj$$dq@mL9#Nn3@FNlY$cAYf(Y
z-(tP$xmSufZwMI<^TN<kzzr*wMJtA=qELCtn5bAPLKM0}3|X<WWP9qhFh&C-Bjwi%
zrSS(JKN8WdD9WP`OD!0=PnHn_M}`jCzwl%YdQ$9`WPg#Akmv*1s|=6elFLW;=_+FG
zttH_1hV-e5x;M`Tay<a~+|S=ZzI#Q6v=gQh@@0bkFT${cf;)tN9`^L~BrY+7S&hoM
zj7wKdNvc4<e3{&)_NAiM;3Z|8{9EuKA-S;pmdw5}piiq~>y;^3RKBCAHG)ar%j1N}
zK?LzRQclKoLjq_mc4l(D?B{!(jg3O5>-1d$skhhISF<;^vF`MJq><$Me&0fDaBOIO
z|KGVJLfYe~zia#kbL9>$sXv4%gQANxrH8vD=6sVE{fZF#sL+^AW0|ZIs$pjP@OOIg
zIp$BJNQ!mkd~S#7$Qtvna;$KEk{WSX4=7-k!`Wl5E1GlMB1=(>p->|3A7$}vl&Tyu
zWt_SV2tuUwANGX#5<^Zh?hN&@XSy;&T+SQo0inEc!c@A?v0j2_z3A!t&Cr32WN4w>
z@zXC!*WZqD+!eM@*KRnGcShLW*dMq6>2|!}%1}q48q*p&Nm3L`bU5dJI;b$GWM*bU
z@I*xgd!3Ql6B#mpQ@m$HwycSn;+TpCHaZ!$Jl^7T7Ne@#5XHpvi_kvz;r@3EWn!-W
z?`)w8-dqcQz#AwL-%Mrf=HM*jP-E=_k5w0$i2P>W8}1{Va+H$p?Cfl%`ir><;iQ}8
z?uN?uxF6N?*-We4ds<}ge#T>V@RY9<FQ7}3g{9X{xK--$%=W#`MMooddn({LAgL?p
z@YhYCJCt-8q9<PBT%~$AZmJ88;4c3{c#y{4DirHL_!Ch~-*~w5jbzJMZn>~u&%_ef
zz+`Y9d;>Klo^(mBzAL(7E9@x~UH@BJpYKYdnot^eGGSVm$_n{VIV7!vPG^m0D11Jr
zbo1m5iA2{EworSMj7Gul5s_AkwR=KjGk&hNoM|k&^IYWrs|8T5Gvd*XRKl@%sh8Ic
zJT7oY&tAS<aA-#IwP7TzmboEM$=hWKN4dX~_@v7(<eamUZNK`<CVQ0l-<+gzdLm9n
z)*^c09rrf1uyDx_sTzclKU5B-K7>QW97`Olh%!%8c5rlT(>z`eaMdXJeiaqXIv&QE
zHTlm)gDR`6jOx8qo8QmMrA&39q0EccN7ci1IDsumM}PpSAaKjLr-H+$hF4I<mR$7i
zVftRI`2$GggJ}<NCbDv)+T*~7yH^wec7Q9v=4X^)bQ9ORdk4@<%Lb#`QcIkhei2!p
zX0f^^R7jb)n?{mL+1xG*UBddgJ#)*NC43~CmGl=RX-Y#-37keiFQD`iaxJ{T_6b#T
z=`d^qbO`NOK7hJcGHQhLV@c-MgFb8b1bcD<<0j0u6mbKXwm>17d<2h~M#Xc60q^3R
z?xp)x%t3*VZ!<&_tF2Pa*-u~doPQLUS_WNxlKC&2U+UDEb2qTW5QSFU^?<HNCNh9K
zzAzsG&r`;EsYMaR8XBT_Fp2$jeSIMA8Hia7KVD^0NBiXTM<EAAD1B!~S{a90{O)qQ
zNxdO|#88|;PxfzAcbw?^h@)UA9Q^PB`iao_RK!zzBhpzhNJ2PC8j{tjzn>o*HeN_~
zpg^9;01etOv6iYN{RkX|^aCWW8qu^Ntw)+}H>z#-7GLL=0ZIml^TjUYSHR3W`FtNz
zw*Z`d{00K#B@#OUgoXb4JI2OO!c>VnsEFiYLO!{{2r-+CL^?{p!bpdY2q)*LwNyQi
zs+rAqem*|tHUxRr!blUZk}gxex{l6OmGQIqr;5aNM!7W)5cl3Gs&;y?>8Vy_T2%if
zc=NCxGXbsoqwlNu$nMD{Hnke3vv?CGBDOoz#s!&~>?hMF*W{y>OL0%Dtm3Du=VsD2
zFeJ%r$!L^1f85Uo!2m{aXtJ@ZiSb=PAJpXZi$pdc>$ouY7qMhNH#avxUx%<cT!5q>
za5JpO)({y7D%1^t^z#=|wJBf0(*f;F=-nXNrS^38@UU!lxPk&5B9g}iRsy7E5e^2R
zAFP8eBNp;v7`h+;l9TV2=fR}SnTx1{_KUX_35v`>3D+52LNWD0J~F4b<b1l>qI#<Y
zbA_I$9aWK?zkp#Mf+zA@n$|ssLwFeDT{;yUUG5BbsWuq0S=EY&NC-_G{iC@@>|>~N
zhbiz0YLDqSpS23Rf9xhz)LXlz-eGN_@fy;^u^tz<ib1;j0RlxUmx8fh{P?QHGZ0N#
z+__U|t{VeEI{i`|xJ>YyT3e41>h4=@!)Hj(Ki;0{?{ECc1|+gpB`FFHL#upXS4^EL
z3WoY+6bM_-;Vgr=7hc1+q+`VD6p|$<qsh^#KC|ONZK5~g$gz^7kou!kwY3Q~ez*S}
zlHrK`PH|h6ui;XIen*|D^#p{)gt@*)s5#tm(fqq5)F6BtS?gx!7rLYv&M-KZM~n6N
zjgx4g^%pP4Y}hVqY#0Z&yIsXYjcBLgYFp5a2;%!aXF-8$wY;2-2&d0RC;$yTfPdq6
zVr|#b--{D9h9R#!<<fR&djhKv&|wh10Py<~+@Gb3pKXBqKLAG&+~9n&$iPrlVT4FT
zjs0A-2Dk)uck$lL+kWo%NeZj_tHknG2Zp+dg!Z$r)Kgc_-aF;|fMsy!p8D&hB^^`0
zidH*uroMvAk6wnx@aN#%ODL%_e=zR6o6?udhKE9Klf0^jhX=HUT*kkTE;m#xvJ<(Y
z{Fq5fs<VLrUzzL6$(gH*3&zd8pxeqQMHKongXBy2n{M2=!(TfEfQsNU@J)W5GM~YW
zS@7uMw=wTeBzh1;mUo`JnJk$}3Jtt|^gE$<<M6H7mz&3se-_;azJ3%Kb!6~}ie)wV
z<w*_Mf@w46=gDiVsSs!f6BF|%ZG+fofm{1U&4&*kK%?{FGXmPO!tR4g{?*6T(Wkrr
zaD-Yu`p-&1cDD0CuG>Ivo~+fk5VTA1I6O1uJB6m(s+yX?d%xs-m$YuVrqz|p)|G$$
z;)6N(^W&q=ZTQSwFEfW7Si+%B!3Grj5F`VIWAI`DK<&N3k3z~7kph{2j2*q0i@`kJ
zW)pl6`S$=R&Rx4ECME-7QD}bR9ipJ1kOj3WZe=4-%+F^ZEP&qz9|h`sNc~u3*Cj);
zrQlQ|MMsdK4o5(U^SBM*h%|&{&ATI^Z00^-!_}`gkdQ#4k+hYR-kMza2P&m%-vPfF
zkO<H!0j=d&DA=)766w%FfU4_1f%pp4*fAqRIKP)<K0h2f*XOb=Hr(4{Y@J?*mUD7j
zTS(R!#T|b`W~c&N6Qk1ckhIhieBE=W-@Zg#(Oidgmqv%WZOiqXn`cMP@7cr0ZEu$#
z!U6MZ)<=<C$Wv}_KHeFNC<SfqdBfw5BJHaL@A)u7Vw5x+9g@Z=2%_L|)i)D!M*MFS
zd^S|<@W9m6xWJPORWP$1_jpDRq10<RKvqCt6e>W$jRtrRP==lGUUrI`fzllE3f<lL
zhMHKE<AD=I-f!>+cHE(sxp>{OxG-TQ=s&4>-F>bF7X@%<)D_x~pFaIMhJF@^&4ynQ
z(+~pGI6@GBC=@-UcZCYLPPleZcq0o&CnWC$)(hGBLTwke*-HW^EeODI>@OY0C=FaN
zO6T7f(b5Je0WO7rw#T3^MrX;c)f8$=&04iO>)pvapQ!6jk8*3#SU1n!EkooyQ?*bL
zdpH@#G^lD#z9$+@hSNf3U&ff5Ym^R2BLd1kF-{&HvR<owD{D&yZoghttQ)sB|Jkg5
z3{8iC%ZX>LqjX5b6E8=|r+4=^pNOLuUH&b-lreA)fl-hGC9~g03c=Vg*{pjHgLaE1
zf#3YaUZT{G7l6`$2p}M!y??D8ysK<#fd>N|owD<QzCenz6vz&M2Li(mgQV{!92X%%
z2@u5{2WiBMg=PgT`_8wU($L}!%Op&g@Lv}vr(X~j2XA&xZZ7mC9zS<gl>v_nxQKcA
z`9HV1-iCu9*mV~@+NANUz|7;(cE<Zink&=JW)JqD9HIkw$ji#hfuaYm{H1Q_Fj?>`
zMEdPff<S8(sKn^pQJVC%w4@hvw$txe@oy~UpPx#$e)`Q(#?mgyT*S0;()ub5tVmUD
zjl4+cWY72F_OCbfRM{|%xvIiA(;OKf(~-Y*)CN*z#>RAZq_N!MH+vK**-r(>m0ir&
z`)df{8Oq;9>E13GuVPihr@ZwdW5tG1jjM3YTu-mbf8Qpc@lu`98Bhj;rK@}tLy(Qf
zcmJ^nKFg?TLsgZy*Q%mpC6rA%Iy+bERsR8h&#FRu6d}Vaw^`wvM3Pc9bu220P$BRL
z6#^`Iqx%^^;9zmn)SUu{EffLKc(xhyBK~9thl)Q3|F5ht!*!3mh4+FVz+ncKq1lOv
zCYR}&AAjuv6;c&8Rg&ntK+O+%%lRe}q*fqnNRmEK4Z?<=#`7b66yhn-BjJ>Pn4wk4
z!^``0#tA)CZksRx=4jAXmzS@|iNQtNq#JV*g@mG`z%CGutcmATfC6Q}PW{DdAOkz(
zN-6YieZ?z@k<V579zqdw4Ug#>8I1jwrQ`k=Hi{O+O2i%C%h+!4C+Cq6O7F?dXMu;M
z*_f9<Ya7&Uu2QMcl0!yDMknE2hWLv2!6bdQgtiRnThWeFP2eaH5)o;JvifaRczA%7
z29YmBc|C%@*OtW=k3~t;6JdMxp!N1}h{F?sK1Z$mIiVi##Ja=K0_y|9XwO(5)qLS0
zy7+ecHA3uV-3cBz`~$dge?0Z1pR1;3g1NNSU^<sf0&(#xt>C>;FLQCaOx74{s#ep4
zYNRB{m!DW3nlmw9jC^b-BZ!hnOmiw2yZS(iP3N6UUVnlz3;P}=Z~HGHZ8m;CP9k+?
z)^)>8sjnSyx?lHZbGzaFMU`<Z*#D7vK!5}apGLIGLP|+jNlD3qW6!eT{^`*c4ArnR
ztb%29-u)bKY&6Et)t|F_qX;j_fqxmIHRjw?Z|m(EQ|;1ij|&KJaBP5FTB%19uH;$6
z-_wSIJi6jrS9%3^@J9Z5R`PE_=`1R`B#qwGG=BFnzXp(jWU*AGUz{W4o$fqiEcqxO
zHQ^xx)Ad~I`>VV8t@nj6<VJQ#N6fYYh2xfX3uPakUYwsH5eA;0o)z0J;sv0I1r)dN
zzsE!;V36f?Jh&PmUtB*rHvdfgKku15&T`a;n&v<1VPu3|%3LZqjq^KShm`%VP!wF;
zcdTPovo<1~*c{GEc#)iio91%?U`=8!$+ba90)jNJHi(}BX%wVya;=c!wQDSDQ|zT(
zg7DSqDcpeg?tpOI|8gIZ--7muk+q;-Me%g$tmtyaw2K%`LZo%+qC@A5(-oJ5;QVoS
zFAQJy$*~o{x+xDlbu5Q=HpfeM=9F}$!2r{v5cXynN*_R2CFHv~24@`KYnL5>8bUpT
zMXdf3m9U-aeLtzBK+$k06-SmB=sI$@wYB9W`}W;r5xUMkrPU&cG0deSXmv)nbjgUR
z)V|<MuXH}tNO2WV|BZ4>Hw{mI`SK+!(h>5+cYY>e!s|m#O>J8D^H1bVE10^F=0Zr)
zfr1@Rvwkg)trw5P=?Wx#zJi_!n1sJj{Rg_8kr8PK$3{wsKm&tVgR68)B>{M%^$Y^z
zCopUNptXU2dKuL=Nt>#@453{^cmAwWE@t;7{qN<Xl#ML`c1lrKdPfq=&7k0j0L4fg
zEkvRsf^XYsJmMN(WrpNpLncr!B8cp1`mWSi1{4SByCjC!pi=^!!4AadLS+gH#8{yb
zmnok=q-Tm#WQO$0&k*(j6VP*yMef~&Y&Z%b^CLsh-Wy;7z>MAnZR^S&kkj}O3Yb0H
z*C~Dny!nsn3WFR>%|h98B+>@%J*5Dz1;G4pgi4~93526Zm-pdfnjQKh*hruuaFCq$
zi_$axJx2++;>dhaXxBCmFkN@|<S;o28<A-$E2;ns_tYMLaCFqOQ;@2oyL$Rt;`##r
zT~GrAL!%LF;)q%f6b^9A1pW&+4vjqVeQ1An?%aS9X1H*-P+)U?{k>^OvfvvqZ&Wve
zgZ`|?lJmem2SF{5kT3$cfdF@a?htm@5>Bn$YkZ$q{=%kq7W4|C!{HogRNMOK?*(9F
zw{Lfv^P^rE&x9gYdr=x#EfHe?B>Dt0jh6lwQHOJnl!^8F^)>)ys}0`SH2Rmqf~u|E
z-*8^lcD%a;Kj>WG<z5e%SqQI6rswCwkfD78_)(~8ZkXGlE_?$WcMw_KukS@S^Apbd
z=TM~h3WDU2901V70F4T@mx%f-;reGF>=>33>}L_;4+dU{b%IC?E*>5cDt!2pU>3~*
zJrT^P`a!*pF}}KeuP^&`cD1($KvOEBn;o?6kfW0c^o9F@5`;$*i6RL4FCGqnMDn<|
z;)!Y4R<`|8@|0n$50<+u1yCArdCK4X&uhX@re1zf@<cpgtej;4+ZmMkD5AnKq~++p
z8)}(hhb};PzSQift^OD}?Ed=~9UC}tK|V+N8!KbDiajo9zy*VX0MY@c;OpbZ=PfNQ
zwG%0HiE9fU_W>>kG>nr>y<QpXzn@!momB$+RZ)=@2nE3bI0={uGI>DlAFpfZm;`Cu
zTPRPHFD6RQ%y;Id{ya7Y!6hA*sOHPkqcbxz52Wc)Arr!!)C4HrAqRW=73kIY_rWZ1
zKt>B!7Y~Ks3u5hMsI(HL!iR?gPieIoSpWM2*wI9%LWyfIO1IZNm=$#N!kpz4&|&@5
z)I43{oF^(z6b|!Wvkb@RA&lqa0w<i}Z#EM+ZNv6v2?{OAbwxNh65o%Gf_AgZOW=R5
z(2rZfp~xmOpCwxe!s>En`tUJrCnu-n=Rd^S6(m|Me_2O&zF`23g?0?KX+2ac(TLFu
zo8&ixHR3<a(`>DxPh`VaR6fpd{zcc*$dcH&IOiO#{rvx3%9KH<z+icCwfJ&2BMyC%
z${Sphdw)kh+q;F|7d`#<oWVC+!!e`VhYtK0R9a5CT|;j5R*J(fFyHL>K|a&e!lnPN
zIwu$0wV^BlZFf4H;vX<*qlzvo&fCukmtNP)dgxI2<1z+%Dl4^2O8ACo8`fgEeJC~7
z|H_gjUq3sblcyxTNraMn6NB3}5vHoB_PO%RzaVNtnEf5cLQQN8Dmj(p<bSS8K{w>?
z#l=Vy=R1;Ut5A}qE2fMLs`*6{p|kZW<*>?fXs*s6@BxuLX9WDYxJ(eQdo~~gDk(V}
z6F4o-E9VX?<4C|{=F)JFX<HXv0H+6G*WnQdXL^FNzOgaY5|~a9hZ3To?I&iQIsrTl
zNB%yA#f+0^cyfp(n;!0gdxI|Du8+~}+qKiE<(X#Ow!t0VTz{VbdAw0@%=igmG8KTI
z-EK(zLg$Zia&bXo8{zj*d#?O`MEC~Q*Vku@yWj(cH6BSgIN?+dKdsl{{NgKlDKvyL
z7F7hQJBQ|BhtjG(!WpNWYuOqen1;FTgAzMT?%o%ILy%WgZ1>`=jYKU~i)o#DIi7Qd
zN8G!G)6(CELTroQ$Jo5I{(G&0C!kvfayaXZwto|_V#0?rvapZ=^%PVBe(qF<r+}9t
z7gk8v{hf1w-~9<<s0%>)ns*3j624}dd6+<c5v)o=p(>nAm6NldKH-$xr*k$6-7Hfz
zP`jRq54KI1O7yuiaFYh#zsIpW7umh>I^h}KE!QUr-poqB@2Mv#@o3R`w9St`$EHWY
z$fu=Ar`y)WTc&GjsxZhYz{y!yaBuEjPX-G_eEj?`(AdKKPw?x}jWzNAi>vpJr@DXR
z$4}{wmeD{m3X$xQc~Fu)LSzeB*?W^xD3KMJ*-4J<J<3WlvN<?pXB=6__PgHh`}6z$
zzQ6OwefQva&)4f3&+B<TuQ2dYpNDLg7Z;{Ik#XP$K0yu<@_YeC6;9J|$*!WK0C41&
z|2~bfjIAfC2YxDWBMQLoB{v7(H=6qEL38EGd_I|Z@2=AF+mTp$4Yof%xD#h>`ffe0
ze|jvCnVL2K{*BY8Pph!U1l<0RTC8MuvBe0+0B8f=e}&`(%pzzqnfL3@>zRklU&Tni
z<h0ZR+3X1vpJQPAllJf5=l(7s#V9aU%#^SDdV2$<QfX%YdYEErzMB`BJ$}r*_cDZw
zQobYL5T;n7#)ay(-z3(sx`2-OvD*N&0yXF(Srl_lK|w?`{f|6^H8sgJ5u+wi_et|g
zunc1aREaxCK`<Bm15ne#60&qLbqcqpXVIPPgqXWlI_quXsqIy|{k}SCYQMltCV6h~
zJ^u;>io}SB)H+OHjrnKuKbJ}?G=Q+e&(HtY02z=ZHD~hGQ6Kouo|-yua%p>cyI$V8
zaO~2<9-q&dnbV+1!d9(S{c;4L2yhk98G80)1I!0OxRm%6fCLdr3mEk$C0@NB)exw-
zil3Q-W1zQp9ptgVb{25xX=`smgDv!PW0-~@Yye-wN%>kU7YgE^6EO!F|A#r>+S&@#
zHGr=nn?@@CV#|=wtirQG_}qEWi}DB9_(1Kgfw_%Nk3bHH>sm%-B@Id@l=_Ze*Ok}#
ztV2YHAYgR{g#fcn601rlW7}dzu9N?1fD$?fWzWfUQUBsmmgD1=t0^3uYX;ePFVVL$
z(7hl4D{{##*Nvf|<b?7vdBf{x&sJ%4W*_b*U}#SPdptcs4Zt}lslaDM`N$Wfu3=JB
zQwx_#c+keC4p~$($6t^rq-IT1*WWH0`aH0p;n4)~C5LV?OoUlnT!bD3p!UNwdoutg
z(4C!eyw7L1tE<s<IAlTt5QH##Wy_#&jsI-}xh7DaA=2Pz3!~;`1P%#ci!jj2N{_cD
z2{IToKsUfX`Tq7A5RSo_zX#<IpzQ*&qACo!m>FO!MUhN8^iUvDv#{I$rOWq2D`Gw{
ze`*t8usb+(S6ASq(xN@SsAT8DC=1}%KmdxbT;PIw(f^-OZz%qx>%$$3wdafPz{e8>
zp!VLTxwFu`IbJ`6v3${$dHZ1DevrwjvQKw;k4ukbTc_O+6cDK2e7@b6H~&UL@JG+H
zkD;qp9k&mEQ2tqXu9D49spx|=8UoDGa>U6FIR4G4%kJ!Tic?o|9qI8VaTZR9j23IM
z$G2&xnAljDf(y|gyeSAmk*NcSMedpBI1*Jv6cU)_p;6-TfJGH(#Y2S%RHq(jXdoki
z5e)?30fCG;5Lc4uR)Knt%sU0t0uo$EypUY{;%THmxDv8POuj29CoK<`u#=O}LKq0e
z0C>cpZ`{$=<_*6YrU&+|J&@gFqoaEV27vPZ1>z8}Vj#E*YS1U2A435FeGB@`o6L)j
z)kE|BdMpFNu(tT?yqL^<0hHv=q6}icgF7clRK_z%#fI@SVZ|<wjqM*>@T*Ii^?c4c
zQow3NH<8DAM?Ml*C56WST9nuFNK$&r@|fH+?)dYZsB3^ZPG%+FU}Mv%_9#%uJdXPR
z!w-Z_{<B4ZFT67YrS3}YQeRM}gL{T(3^<^#$j;D7_-sMH)QLNDiyxt{1mP*2ZTQZO
z42y%9ov0oVh03r!xLtr4^s)14zyk6G%`((Dq9I)U7bZra9B{sblBIfRyMPthSz+{v
zt@VT-FsV^rfXT+S2@Lg1s8BjF!3xEzy+N(^4itiax1xF4<gU7AD_IKDzU=1nz3OOG
zBSHS6yAWguqwXJdD0MYS8NQFZA5s-UatxL8T1i;s{{;@BdWNATE`O=}JLT(4U_v0g
zXECup@C5Ftav%`#@$+L#k^cN8-C-{vzYX`<cmewx^$4JBm^!ckIwErj=8Y&kf!v7x
zmq#$m;LO3%$PhrFCU>W%rcm{O5~v?6GM$nSv#*<erzZ&gCm=%&8QS-{mu}Duu@8TW
zs)wQF-WRV*`9^>g(2a|Ch_0yf$MX!>Sr-`)UvH@57n1i2&kAhB|0=%PMEEzZ^&NY^
z-DdLpSW@JPtC@ab&Miap{|6%oM$?I1t2pk}k~4Yn9yF@J00ma`r^y4NlV_p-72OFk
zTcNZfg+*<)xZ3?vtR3)f7RqyM*~(y|=p%^LL5S`9&z}fSja4a*2T(fD=7R~>5MGn*
zA>wP`WPmscqiQx0K9XuO8vgQl0GOmvNZeM>2El|oAcAFb=?3nA-pjR^v-$HD=jJs3
z$^>LRDGHTHk2j9PSSx*>ijd;Hp5$QtK)&UFca^N0mv!Ux37QOP5wtAPQ>|R(rF*WT
z233?5lQl(~T<_!~op%F^zEs7<+m>OmC0zoX{;|tx#I;aS1Tzi$3z1-lU;`$|b*@D+
zw-TKYUdH*_0DTRa3Jw_z^&1)J(kXJ7_y({TklG)$$KOgyswOaRuis0({~3}R0Mda_
ztP7G2P^v?H0L>xW6l3s#Mxe{k8yIpw1@c{Bh*__G*T^*caU=iL>hXJwG?{V~O;f)h
zUa=PY{gGcck5b`fRoSAV^(m>KvTs_iPb$33-V>+!H}H=mfsvB;F1}W&Y72OCV98P~
zcjrOOEcIZLVcOcgj%`pC5Vcbnyx}aG1e`}JEF;OYkr!i4asA;EJKymH;JNKX<Gv|&
zGqCOBxyyWy!59HA4$KSeNQCPO(F>?AXhpTUfQZCiuWhD!r1%O7p{Rj#K*p<>4Y?&y
zzl>loef;?GItMy%heJvZ#%CHDChrV87O<u7^EbcDI!x5RHSDyn3E&dl;pg++mI8p+
z|G24QkuXde6N#efId`l^AyfVGo93}f;v@6x65uFI%h9Gld;K4sV7~gE^Vx5|DX@K?
z$+`p=W+f26MrWE0(ettK{||^_A?rF)_kT#xT|;WCrxX<whD-dRH7JP=I=*0T#|n7-
zMQj-!64Dsvd59C<*xL$`)y1w`9z2Hu&k#m}yMj+Ro!HD@4;N7b=-q{|f_rLKl*B+d
z6!FPZp2@SGs5$eoF)a|goYpi&>k&@6Dm)kZ>A<L};m34ElWmS&c6w?mF`?}Izjt%(
z129TI+|E>o0U`2{0L~q|I$$W>Q`|67Uf%=Z;QxialmPa!_z{%digQiNe72oXptc}I
zCE(RX_CGFw_==O}Jdh|#-~6(CfRQ?kLI#q+)ZWq{n8*6|wGtug;zb@Fnm3R@Lrao*
zrz*HYC<ZYbC`;!&fKpArwE(1S*X8f)p1j_0>~?M+RQ=oRm5#EKx$Zj%W^E`yv$5?1
zP1xjVNZDRonUyQiWdg3`8=$<9BY47a5M&C^>eMD+us~(K&!rH%@)6=sKy_<ix3At*
zfv&%IvQ3EOnt{;*VCDJ{4g=f(RCW)PLxnz4#74ZBI0JZ8wR9QarRo`O(4qdL4x^yl
z9fsG^*7jJR`vvn1L0Fn=KBZn&!SNrdz^;lG9woR+4oWB_?B%_`cn?Hsltz#2G#7B+
zZ`MZd+?#>|95)-=HbgJZPELSWQ=WbiMk~Sx4Mfm~?FZ$9Q)J+!{_+D$9!w`_Izo=!
zc6ke=Ab3Hfo{P%`1R+4A;}W!X-DG2f8vX~vd`X|JFU<0gOvc7Wgk!-4gRioT=i=Zf
z9<qV9!RqS7*=-mc3z~z1weXBaOMx$q%zJ|7Uuawld<%gBj3g7fBpKtc=tqi{ntPV^
z;O3F+382p)a*ZsQ)Yoc&v=H#PLugs+HYuPLb-6)Hiabbwju(FKE}at^SwY4&!jl0k
z9lE@swQPH(feew_$8byctV6zW2y(tmtgP7(1;BiBkY9vrUDl4a1C2n4Nv0sD1C?!v
zSM(s$0u-w0H5Jmsv=ki(@kR|4SOED)!&89Z3(->yJkz^DKA#qRs0y-65Gf+@22jPm
zO*lXSq1Z~JJ61Rx+7LuNRvw|^fQt;C%&)fLf4GT@yrLh;KFGAJ!$o?dlP}5~>G&Vr
zYal=uLiS@mFhK0P!7^A^uo6z~;zt_?`On5nsOtk}bT2Xkh^a7uY#k&c<ZS<4t;mvn
z!rIE{23a)GQ)qHD-b9#$N47DE2(tdw^UoxAhdR}1&i?n)Yk}thx8UaBI04C1LieNp
zefwIpcI2r&Q0qK}g4<KH;(@mSRPTV>^|Na*25F7%%)bZl)r!2g2y!{8fLn1HR3aCH
zK>bfl5$+|_e|>#xI%i*(bs<r?Ii!=O5B|NH4SBd4XvzReF@z2EkZd5+uVCw&nVa9d
z7}6;SRX%!9;H|t3lPIAt*cj{glIqq$uvFm3NYc6JHy31291noCL?PAT9{S%Q>EMus
z5UamR>(A30*wFU!tndiz`bX+w6L4fnjw|=jykV(`B6)V-z<|>Rn=*4&IDT&`NOJ9C
zBqnU}oW2-j|GZ30Os;B2tL~ah4m=silo5aqJetOpb5b84LeC?hP=7sshxb{=!`KhE
zs-(0I4C6}x(mltfPGt-2443AbNY#DnpEP1{QKkpYosP}oe=jh#gZX_uGV`Tl41zpw
zXmz8ybO~_K=#wwWkue5ZIy$Ykql#xDS;*B^Oq6m+tYSLknfCnr!RYE-$NJSVD7103
z2ZSY1tMGU*(W`-~3s6j4-Jc%4w65!%ttSp3ZYF*TeRNY`V3e%TB&mki<kdAbFO|9G
zx6*ZdUhDe(p58-6en5KjWmZ^DZf;v^>-@nfkuV~ZAPe)z4;c|uaFdBRDecjcfyok)
z>3R!){-DO8-l2*tg0bIg+u)*EsM~T}TaZ>q6RCq%%BKE(7_0Vq)wbexQZLMljUWeU
zfJ%#hA7m;skfr~6Kw$_zkd#oeEL@3P3;>-?kT&m|cgcb2xxI?V15nZLhIF5GP2?p|
zUXKzRVMLm-ObT4q0y)}V9y_kvJf+-qilO%t3jD?f$CINC;nFXy2J?qN{4SFD#S>;_
zE>Kf6=HugoGSGGy>4qG5XP7~92?e7SGeI%rzI}xEfTkMPgqGlsJ61zF8}(P-$lSQR
z>_RPFxsMI*tOvi9ss7$2#QW&z(X?t8Ap(Qs_B@7V-Rkv=$DdTP6|-Gyqx1n{1~l^%
zmw?%ii`^p0v!D|T%KAAEpjJCM0Z=o?wJ8Yx6gAPY!H|g|JzKCp5JDD6GC}uP2`}^?
zViqXyPP;msSUVnSsM@7yCf@jBCg8CVKrMGZ|AQ{4Znl9eOBh6pN>I8$-p9vX=*Pct
z@x1jdod;a|cPlMU=$$y;(bM-PLoI(GoB4SH@D^GQ_F%*WSV$5S3DR1C^hqH25ro5#
zLY0mxUu=RnjsXQNP-DrmPVxZDKzg(SI%D=QKMk2}0!pV1mq3h3%V?iMYBmlXFaA;U
zQ^P6IiRZePqR&cVDe!=SX!c~n;8RUq8Ts4NY8h6inE4!~wX`VvQ;rlaMO&EVohtMv
zXufAT%`wb+am*>b9n&?y7nXzd_43PudP%B*A~2idcui5`AZ8V9eQkd=wr&KRM+!^^
zbUU>N78|hQwY9bBh|!O`|ATWCGM%8~^}>Oqw>!<1hi+r14n=0|O7cJ7#4z5ANc*@f
z-z;9rRDw+w7XK@JEYgwB!9@7>_#kPahzj}DQ_nbzo}Cy9<sd0U-4Q)@p7;WhVDoe4
zU{?B;<mGo`j@?UcWzvQB)Y6!_G?}gQD;Gp&_Z^0=3*M8DmJY!l66C81{dw7g=Pn)+
z64w%ElNB@7iHL|QYu84{kO^1Z<fu(4(Ii8EoLGO|p8fmEbYgqG61$e4GAutt{JXxl
zi!d-SK=(o4<L**hw#?K8U<;>onr?`pV7f)rz>?bwa<zB8-^<r*o|!!<?zY2!Ik%F&
zhQ{wg9srrm_9$+Dv~EMM?h^f;{ozvGrPD8v#!%pP!T1^rFRH_7ql4=d``^R&NL~go
z^xi$W1%2_h`vuTmozPzMkr+k)8uTPuA3wqUO`+_qBXA3;bH+wTCie0DTD`4MgO?;F
zJ&W#=SP?&Jip6_=h08*%d<Z0$E;jXIWmKWjK#!dD=-l4|B_*h5`9Mlgw_8=Wu&-$q
zKSOr7LgqiipR(Onx7TL)6bGz~-&A$qMGgmBBsPU_iVV~9)gSh%?)Q%MA47#>ySm;+
z7yjMz*WIhbjlU|seWEgpx`0rVu6+Yk^7pyOkyF#l$0cT-FYc)?1@4<=e8nt&7kLs;
zZjlm9*oUK++p5pPc*E9CA2>0h?7sHCGcZcvaK`?id99kvXPgM=6@zOEVbwurSN!){
z{Hx1cQT3C}A`EnNwt@*)TA@O9E~D2~oIaeev5{(khLhG)K=To`Dc8ac^~Er9{QZPr
z5LX_noj(NGe=+^_1IdGy!??u65w}ffqJhyqBT$Cgdco~8!NjmlLQw-f@Y3s0iSn^;
z6J~*1CaS*{qmbEUND7A@m+N*Ff3M{BAid*<&L5nYLgdF!F@vXoZ$wz3L!``~OKv@v
z3dSAo;|@FUdmVK7+sO3B-*5&vEW`G9S@1$J@X9%3+kEHlG7LBHg@p%=062T}A&n0R
z2$+(uxi;|Q575<~?LDm))Qp|JWZH<u767a4Zw+p@1~f@z{ibC7HZA-&?PB-q$@XrG
zCLP53Z^uF}_RFOOzquek67g^b(&Na(Kpuy&PXE@Hhxs=XrlrD4KaGyDNaqEoRy4(9
zzV~2d7Bwf`*`{SBcYZ;I3L?DC&V$9yWk)D%?9a(c-pt$sNP4XkdW-^>a13AVvbzWb
zdzE@^ZEbKdH4N^iF#a`Q;rP+1o)S~Nk;%@=`m^E1-m{7h=cRlj1A3!lrQ$nHMte=j
z`=h;lc^eP_`*?y?C?Q>PC*6N1+kXdJw~xI;4sD(MxSc#)Wl#()d)2uW5Wn3EigsEE
zKRP(d;R8=IOurc8a>pr<{PnIQcuPmOO}mYxE+PccGCQ@sF!$<7phdzXen`@Q4>vD6
zcBD?;;2&sx$xHIzYpgFwi#~n$7v?b`0lmB7)yxr^@sPO-DO-(TH(^?h#Llm9iIDT*
zA4gAa8EwZHRkZx?{7Q3`V{I!{4{{y^&mqegZf%n7kM`{g$nJ-aM`$4V#3nvvZ;F*r
z^{(OEvHxBxJ#wFtl>pN~VR0X1!Tsy3MMm7jUi|m_M+6XcfK8wZ4LC-XE+N5wv+jNt
zb?l<+u>24es)JeogIQ?m0toJ5u4c0~SL_vPYD6zvawUKaY320RyZ-Mb&~h!g9SN`-
zQv-ivAI!-#eg}ge#=jyJ-~3QRYzT5>NHG{8Wr<@DqjRtV`yK>Qyo-l7hk%m@iX0(x
zyS4aT2`G-^-9`RAuES^XL7FXiOLe}W@8CV3#M_U<`6Iw@wrZ@x^=564J;aE??~uTB
z*|Ff?KSQ<j5uMnAs_;HM-@sW<>2<^aBBgVHmw~nl=Ys+e%y|OU@58;6!!;NXdzHd7
znE?B555Ncy{TD?4-54tw`MBgpj%o$QI(`NYg4=J9+-o5CbP{Z^U%3<7{qO`oyySk5
z<bFGD?~O4vX5nC6^>E#g>g<1aK)WPZ-}&>W&yuwfQ`*r1zROBD;a~g1ewi!tTPO>j
zGdkQb0&*@xf%JcuKWO{(@EcX_ZD|N7CAXs_D-sqEZE-R(GJ+w=f8Pl=fn^5NDNzbv
z80p%-VX%bGUf4m#D>3fCkXu3!7h*Y(j})xwSS|y`H2d9Bd+dH5GWzxc#m?Zde}9dx
zgcYZoCnF6Gsj6;ceEbpq#lOEnt=w?CGM>=RLXp`sKZ+AwRKr;c(5G?y_uIiIWyd5&
z4wBZ02i>@;2VF;lZk+k=SEXK0Z~yP~yJinLr@d=I00chx)!$I65%&=P?~7la6Q5Z@
zMp`py(Eax#2eLRR$j*_E1IeP>iGvs5@jtu%`x8{X_@ZFF|Dq{_ccR(<epG`Vr13zZ
zo=$@8*3C1=mPU8;gu*Blm23t}BTe|$Q}F;48OouYEi*Wn*A3S;yyRA6NI-`NEA=R4
z_q0A<t>s2{M5}|n)#vIAd0q2dqr@4oH+cFX(k2Ynuoj-0lEAhazkmAKBU{_NUzULZ
zBRrviXxxB#tmSJaID-91IS9Ly{`1QN?FZAv=!}j_Lp%o^$Fv43r~9rB#h|;;YwG((
z>*kE*Zhk&KX!>xx`y1pQL$B5op=c#W?FdkGiyff~i4Zu>*hHHovS_m;4&#)uGA}cu
z2Ve?h-dg@Qr~QNYU=iuYs{WtN4?TNMQy#2MO);|s;#wUOp_riKRUzhfSJ%*khiCul
zFW%gtp}sTyk+(!dLfDY?xYBrZF1}j45v1XTgvi(&?-!r=jx(ABm}6$S1`O2)`lhBb
z%yeoNVD<%V3q=S<yf7o~G}(`0R`sRt?RN&;;O7dN-3LB#L?Ch7ev+!XTZX%aP(BoI
zs45y}ign|l#Kx||sm7_ly*-1fzox+z%k9nWSrIR$eX2){g3X|O-`Wt@9C`>L-k6s!
z(BCgnEe7-%df|LdX)ND1)6)N_l{+EjHTa{{mhtrYBr#Q9nLC9&RVR^Sw%&e9j1qnv
z-=1aigWYDt^GEwbc@3bJQhk3xo;=IehQGI;mobqWjNh##|NWQJmqeZ|M9#{orAXm|
z^KTQ6b8w9MsH3F-P#?5WW|cXAnNrXWi|!`uk8Mb26j#kSw>}>;`x297CEe&_+fp<l
zlvV6JaSQ$srFs%PTfOmWf7gzIMRm~HlsD5#C5FE_&VN8+4b5}ev@-174Q$ioU$&*h
zUvi_Kuh_E6BBcY9rjRR_mqM;w$;Dtc(HZyn3CQV$R<W3VF5{=2MMFok(SYbLvHX5f
zwdHw`PGV|x|1s?ppLMw}bWF}pyyIfgJH?S6jhtw!_+3rJc+=h`SwW$Kl=$91j$G(l
zPs$FJc}47nrpHxs>Khs1qTRR((e*WDnaa!WBVq#BmXIHsa_^9LyZTyM&V{;3R0@z+
z@!Dt=$uODaO`AS!36=RX|J^(2<;%?~892VMA&<p*)c9NI@vw-WwP5GIz$&Sc-5%j#
zE)d!8WUL@oW~*8b{T%J)+18!yhBf3FdW<F)B4(uDm^-~n>I4d*k~xD!v+>*3#{$ay
zu}YnrGs9FNmI`9B(ydBP9v<aF?TGRD-}{6(X=R0H)C&N>XC=v0Y6-#RbQ86HGLn)!
zJmldmWrm&9SLo?WITZE0Rf-$+effi*RB9o5k;hHNI+}?Y(;oAAf=__jp*=y7&D8+L
zkw(Zpu0x`Or;|tfcBR$4=$%>9!^tESSy#c`zU$o~>N&-nH9^#-O(wi4olqF`D@zFm
zkd*nn_D-#0E5s;DV}~#i74@{`)X~m=)nqa`IXNMSSN}08kk%u>nKWiRjb4X(v3b$_
zu7v5&!p}B>SKcgl?IFhNk<rmkGl|c-X1si=#Sx@`CWJc@%Lm1TOZ>Q^TF;V^+1s8*
zZ21=>^6_J+@$xlae`Di`$lbJHtYIk&BbSEKLZi8$VIoG7HItT(?p`*07d7aPym*I^
zyw9KYos8C<m8*(rW?b$ub8^d-m{U%>togQ^U&uYW0GzSPRahz3>OW-CQw1h2wqa$4
zVz@@ShZD=8BZH80bZ^+Bb89=(%CcSmE$HYvJ9KsI8pa0exB3EkK{n69Y@%A?$)5#B
zbGb{j%Q;aPB98G(-M@d=<C+v4SGLCDqvS+s`R^{-J%fZFVI^|RX;$(5A&&k*(U@E3
zLjjrh_`i-xW6F`znKCh(uK1k811pTi%P_|LzP#@PE7dQC7|zl4TqFRwRWQm>OB~(a
z9LnY1p3e#{*LTdj(4!Z^=7-Vd00?;>Ljm7L9i3IYd9XE#^`VwlR&Hm`%lKSF<}}!h
zc7OKw_bc@6>du^iFJ47<BI+t*$2PEl3$$&@u-Ee&se$koBK^$y^DV^IKR=Ef?NO95
z^^lEQT`qF?!OJHpk^jSo^jIhu?D|wN_xc0Z8QTg?3aCwO>e!Ju&%^2H!H|C(SOD$C
zT09|auF~*kj8g@z2@)04UO0MvU7+lvbu&i9lQ-D)Uaxs*Io+?}f=Bb!wpi$z_zo`^
z<v@!ppZWk0odOraQDYO%6%scph7svsRCdhT(T6c%kNI}BufbQrps~2YUwp`eQEwry
z!Gu~v%0=Orl-eiaSfHM>_|O)<g;G6_#O1V>OKy5r-Kv6k^rgniZ|h*<rO?~okS`?j
zoB$sxT#m>f%a5j4aX3B9QkB+Az#<EQR`ck>9UMDCf_n|>^5Uk-xRHe*+}+g(ex8)8
zqryxl-j>hkq0E;hjtlzEjPaQFSry#VqYueXz@UYmc{w%_U`e18+W&~w`oJN_jmPa_
z`3rZ!c-(03<<%$IV%5d2j5X>P*{I|TT|{gA`$iR^O0BCKsooLtdLklcroyQLEg%pL
zNl%#|a_-QhXMLOf;^_@91M4Q!*GzV}m!Tq!!S0;SOxb0Vs<LBP9Ig&`Yx#p#?r62A
zvx?zLp{ryc<J~W}{nOP3a;;n!bQq;x!g6>@`~q3A*eP@wRMz?O=;PnzJjqTM=P
z=>Rp9*g>X}+ytNtEqw=>*ykP=Yab_Gf6QYQEfV5hnI>eYvnls%mM9@t^_X;o0f}y~
zaakg~yudn8--uqQoQME(+4`9Nqi>S>C-t1q7|hGp-RBzQSfU{6@|K_;1F{jhUzVp>
zP2F`lmpvDaV(Frx#;eGpL6aZ7m=n~d@0CDD8of^EgYyUN6`D8AnhS>!EJO{{-NAxU
zrhV?~1VVUtINq4u8(TWtcrRiwdF<|;YW|0HgBFBqu%1x$M0a5EKTTIv@C4+#X*eOK
zF=2tIDDP*aNhGn%XEmGryxf?>w1u6)!9l~CB-r+Hv0}-ZmF2!it`mbCr2f}K;B{~8
zc>Vs97ZN)v$Bw?CRHj)z9oIgm-p!HlLh2esHm%qfZL9C=)?zsb8)HY_v#QLZ=O1|Q
zq%4^aK!KypiM^~>5nmJKS6C9CSRrKu;D+}`7=&92V%Y;xV#$3AIpDV#BL;KJkS%F?
zv?arYuLUktUMaA4E3Ry?;!4tf9$jeboj=C=UP<>|ru*-HUBjF_i#VOuh0!=Ooz|(2
zzlgUSx8w1Lmm4O`cAbKPsj0VvipO)eu%@0`%<*@i|Hjb!lGqY+v|L#x{mSiuEAs6n
z9r1YJj5Qk8P{Ci*G8`@aMyvQ{>b9YDO?SVRGaN#9q`||G;lTQ<C@E<Ral!+?nSdQo
zwVE|)9b8#i=_j0KCApEQ)FW`#l*}3q^OWi2k%<yk?orR_bqdP<(@;|TPpYS0Cm-&+
zfK2l<_YC!%8eg0oGoOeEs6Y`{J-<UfR|&)<z`^myv86yrfKkz2*2%sCG@LOC-iD`;
zi#vC8aqD0tb(aF4DEJptiSEVQ+bwrth_(JU`zv|w&%5mKHqF?k)@1*(1l=oB!SWAh
zubGsZs5>)N+o}xBf?xCZKb*XQ1X!fEj+WXEq`TweAIjMVX<iTNi0Pg?E4#*2pdy$S
z8MQbHdLHJX;ssvl&ML?(l~xJ|>Xv8!yb_ch-*EGBo4@|4niV8qdgfWR;F+UnPaj<%
zM`&1>3?s$D%a|q7Ufo>j=n2T(Qtt~xP2|E@jIXV&tzh{$)h9zt>4wMKIpKy}=hswB
z(<Dbw!hcTa9w??REI_Y$Qb&0--}w+gdst~l??O`&wP(dnQuZ?sS#8Xua4kMP8_6VW
zjy7~laF$htK1|eJGCiljh9hLs-%wuk2na3jW$9c)%m?ZbdoAuC<U$q2@baqCjTdW^
zke?E7T|kUfh)Jl<yC$Nf-I=i23OeJ^rKQ?+__D(Z#5|+WR`V`i3St&9yS;RiE9SQv
zd;t%#jxS}%guku-dUORV8JAA~)4&5^f2qLWl^_eLqMN>26%I0z;l9Y}$5kv%!2Yac
zICiwOv<%&vajmXkr;4GtAu}={|Eu`#;`i^sX~N=Zknh$byB9S`3{u@HDt0zD(tmKv
z!lV?J-$ACcyR)O@+*0xvxw?^~&Av#c+ygJSK>L9L1;u|3>M79?IzW01Te`5}mEEHT
z!@H8@m<xwKV;Card8G;TIKuO*U9O`%q5BwkEaUYejQ%@tGZdvjcZUkc75zE7_fL{?
zAKYwcXn>^^5|bMJsqaaiR-5anLqZuCIVBc~I)<cZCrFcY^LA<(=y{ck^7FY<IwuDp
zJM21&D2P?aPpB(2@KBqA#w?JRiq<3bhRJg<zmE~}gr2z8yrX<Q3)nf>yOi7VVUy57
zREZIjEb0;y<`sv_h0Z6($1}$l&s=N#_U)N1c8&jx`VI9);Yk`X*Jf+M1Tff%raiRq
zC>W2{vv5W<Y!E2DzBGo}%DH`&PY&uj2G5z<(O-<`JZZzU{ByL@lIuOFWrTab?I-L5
z?`~)S7aed~KPQm6IZnpD)-lFfNx}0^FWcFRlEu)|RDJN{`t|66OA4P>u1>DcTzRM}
z>H7p4HKB0t&kj+B@YR2P(+b+&*!b&OwTP!$d~)}RwX;JXEZOrF(qhNF_a5{FXN$Ki
zxQN2Y?oCJBLxmUV1aD0&pc0D<_NP_7Mjx$}DzM4>T@5V<ojoBzK^PRX`DZCC254+g
zN}?awi4A(`%dd)ljcGd*WznLTd0uo47A5(SpFg3H19^6hoqxM(Y0bea$SBoc?VYyI
zdD5{g^vOzcU~u!()nC_wXj|l&&nM5qFdCWkYnjZ9&DwnLIVfL;*QQoR7yhy&kFbAj
zOZHE+dM)RS1!dZ=8^`w=tORJ_d4JOoOVnUS-;suRv(6BnG!j)keGZPc0&}IYs$+$(
zCMM!C6RWQMCA$@x%>LbHHW~$GP3Wd3h=I8!d+o}osHh+@WWzjeyq;BVS{N_bhZYhR
z-U=S-Ttl;Eo^?}*lUBHq`Jg;P3?1lD5qJ^F;=1;J9`6R!>oyY9qc)9-h7vDO)zsds
z@f{YM9l52KH0U+VwQBdEvC3X-;j+fCNb?{x_gd`5*7)=-VXrDvP_UWzY82&i_pBCy
z{a&EmCBFWPTCWr0L6p4ood<ze(;RX)li1W1<k@~%FH!KMRUN$iWdyf(HBb`V*rP+w
zWLasxLSI^_5T51s)Qt^}Ba{YpC^^==XJ*8fB4^TX=ghOua%VL8(J7etbrqs*u2_c5
zQir=vn9=DgQ52@&6EX-v7r5+ZhdV6ZH?w556rkX4t_IdYR5Lza$nl!D`FK)QfB&S?
z>UVWX!W$RS(IvN#h=GSSYtwfsuPfJKmrmYsm>n|UQ|=K^#_(n>@sNI=Pox(AL2}3o
zlZoMox1w+&KRSeaI6J7J(y*&W16w%YXzT6TJ5%?E*oeU|n9pCfzrP^E2uWAJMSo%c
z6J9~dETIdB*LG@CQ?GTdWh}EBEP7a6c8pP<AUV7X`&7(zCgXC?5VlURq9Zg;&~x)5
zrIlnclm=9?SyM#K8eK8CgMFu@1V>vFuWH!zi6_8pp|pv>6YO#)si@xSG|)Yibo*Ro
zd%5}&Gb1C;f;4kbK+{S^Ke4-mLX9QmGA(Vdz#Cqfb&ml#;Gsj{zumjF_w(6G=EYYK
z(mE$8D}__NZt_4MXrB=t2EC*}^6V6eTarZ|m|0C4FPhqzc%hS2$j+W!bPs?t6aRy3
zhQ&H17HEfESK+7>n2WyoC(m{&)a{!to5}+Iay&hl$Wc4@+kPpSg%Ig9p_|s!CyQ=T
z&MDv|R1I_5)%IoerQ4~m(9r>Op19_aP&uYYAP_8yhGZ*596G>AA=A@;eYC|+ATz6A
z*zx@OK|lCXhYv>)d@W20gDUor%}y<MCT(F#zprn>_Bmsb4EE*AKL@gloqc_Mw|$b4
zQbCfCe0I-I^M0?fdED6N4$F-4Z0P+kz&*!TLBs%Tig}lBr?z2$Cw+MOot@-Iq0=xp
zK_Wl;yj1nA0wnnuJBlziWs8Q8fstnT>n6-4PkB|;{J!nK`?{>*NI84VBD6`pKq}P%
zPjCK0YQkniJT{k`Ez;2Vu2p1koQaIMDP}Y2S0~&cUb8(uD>Zf4w22xUmCXr9mpxz0
zbPV-~0mNHDAw$RUYum#bAMwQf4!Q;1%yfvh_3+}Js~J}DRYM8N0~_EgDpla<mrFv6
z^_!w+bd^^5ceW=cj5+Qj@pk&LqaFMeteuU+*ZKUd3NQSJ(DKcY>AChhbqmnXFO~YG
ztqRZ-Kzc21zW1u(^0_0eKiR5O_~7O}MywbXOdX0=9f>Yh>Z8@~kn=Rt+vPctpMV4>
zJ|M+<#M3^%SVG93SJ(e=nFvh*nw-#AA|NoeD?u?|=@<SjT0LwsP;rQ}?X-J>f0wEw
zE1Ovvb_1=-22+?JqoZ_!6V%fmnKj~ZVHL<9OLUF--3$i!--B|Z$A_fKhAECT!HCMW
z&pZa1@&m36m~XpU>iGi@sFf|Bwb#+|_xFdMk`x8%mw!Ke)nh9uC;;N~vvD_8p9UVN
z6m!LTf6${l7B+d}4k+P=DH9_uKJ_TXw$se*18&yP__N>Y@my>ePnMXWp<!=CmiBd%
zn`cUU(%>NJyzhmFsp1S@4Ubf-oqwkV4>SHD=N%2ReA75QY}F&su)P_d1;{NR9c|g?
z6>{K+PfA4Dxq=_dN*kyv6s7Bm&EQ1wmCL+Ct@;W&P<`(EM9zp#v(iO?ONFZWBY>4~
z6vkA+oK>Jjn>V%@9#*F0v1bJbpK8}_Gs4tL4?wfSli2-+hDV<(#PIDM$KUwaNi%p*
z@73z&X+c3eGj{3Mbqd^wy}stE7rRJy-DiFS{^$-@J3X5>l6^i9$Jhv|UZ;5@1Cr;{
z+-|b=t>2dde8=AW9E&dAOa>TNiG{FPL@RKIoP&cyIE-Ji=qgdpMP3>G*$X|Bd0N&!
zK6`eD_FGUosLir^XC^)o4-b-*4)OehG3}+!&!?~UEYdxQci3Uim~&dnw7D)OEL@(T
zr}NG%p2eL}SLmk6W@(Ykt%hLnu*NH4HDXM;HR~9m$bK)s(dycFDb61?gU_-?$+MJ~
zXq7+kjllHu_C{w}5o(t}@GY_2k}Tgw886Lj8peM=xyqHdz-^sq4_e5_JT?l?M%$mc
zE;Osf!!qWxe{<lyRXl_ydii8jbf5F{3H^L?mC0?>r(b;Y^`C&%+(L<1s}Upe6M#~|
z8nzn~;aH~p<i$B^Bj|p4Jmlkpo1Q|Q?IWiXQ)3JhS?-y0T4QEA=4Kf_J|DG{V-rgX
z6F4sUYuWdNH7D-Fj~`vRZl9kBs2dZZGv%}Elp_Dhdt_>wuFWwvSt>=+;+QdwJGiKK
zqP4X99yEDiJDs{9cyp`D%YcZYe^Ma=cgbAJUN8X~wuO@JC{%#-%aamJhhdb|P5H)P
zYcRCczbr$;!zJ%4LY(+?k_g$)%iOdqF%%XpI!g*<(G)heXWWg3Z2C)=<~L?%D7k-p
zWCvI))IDuvpmT0kHBs0&UQG3izooIah}lj}c)dZCcNSgFP{B<KHW0ju=F|VOw4pis
zhsv}aU+(^t?AdJy3;bt$LcuQ?{d4C_+r~dZYE`4jDLUk1q{`=_)dN@|NP&&TU7!E?
zGxW%?$6~yaZnw6xUrw(Wn7x&>P$?lH5q9zb9<{q@p+98n_4Jkg@g||c^dFZ-pza|+
zQ*!g&Lgkcgts<I^0ZLu8qiqe};wla331=CdnDW|F`j*;)<>He~2=*`QhLV*>HZ=H~
z?2X){Z6$CNNPzNj?3VP@?g5mQV!%9x-PbduARQ<YKGU)mzLy3D<!R7U1ZN;nEq`uK
zswz#IthJN*NlbSOFl=~Gt_GcJ)TR+~Q?(7fQo&D3U@C_%j?4%~tASVX#VHQBD)*F|
z@_vnBna|@~jQgEIO<^iEDT>>npf)A!OWThMehbVJC|KfHb6tLK-iRJP<|mYbAtV6C
zCC!W;(!1%OkXC;QqPJ}ydgOJDs~ja~{*@TnbhR<QH!?p|h02m{4LE0jK$`eSJ7?Rl
z8SyGeo0peUpZJ<sUher(QR9s>#H-M1M<6{6El^^)d&xZSQqqCu%z`<St$@0k4$tR{
z7j#3ry{0zl%B>?F6OvjP#@=bhmFRvUepoi+E5lK!9{+n5GE6&((FwEona1_45uq8g
zFZ&cHDXc_O;^@iB=9m}<TxTsPGX^~`+_@fHdUgP@#acn;w;x$q%_H5={(rLl{*2=N
z%FJ{^3+xX!?du4Nwa_=|*GceEO}!7gI1tPOouF>yNy+m5c@(NV;o#taf5+20^RZxe
z=-7{(XF4$wMe*X+wHBS&4%<oL4upbM!Cf1%r%vd7vpK}R#J{%ry*u=8pTGTH8~k$F
zJIJJ9D|#bQO}Q!m&Gr1mCqk8^_6xO{V!W}g2{xl^)jXm%@Ad2Y0Xm*gu&<u8?lM&)
z!*r>N_p|$NB`22h{#PxS@VTXOGoA2Vp(1?uyntzFLgL@03zXCr@lBUaYi7kJ?(dDB
zTxwvws*S9YFX?yrj~{+J!@c(>|KQJZ{$Ui<0#$wgXei|9a|!YBIf2**ZV$?iBeN2O
zZbfdoZOIJaJ_JcK@(K&fwRLuI8Su3Eesg+nGExvX)ze%A#iZ~m=Pf9Jh8`B`4X&KN
zk`PpWI+8Bpi|OlzQd@f)8%V0XN51leMzN}X`lrOuFh%IF&dn)rxbFVPWVZg!2dlB8
z(lyKPa+K$_xoUsq3tcepttOniYut0oFR3a_tjwdp-A6%;O0ii+RyKTd&y$f)nLnjd
zHCgi^7x#(Mw*jZCuJI&=1`G0vk3m3_(Dq2DA9?@QYhq)stU0P@S~cOm9Xx2`Q7NsD
z4;K9Q^YLB-Rbv|%ci(Atqiuxd;H|$0okM;*Jt<lW`v}>gbAO~0L^gopO$OWsq`VHi
zkplm%Ab$@NGpMXxhbRfSdp|<JxY6E&7-C+(^1;m|&z>z?(5^1S{vg?ta>cSWWf*+^
zX;2quxfi=Tvjl@3RI-iA>SRvonGcH=+_s+j(;(9q=_=WUZog$(xZ*P9E7K?p6A-zI
zU=0E$g6VsbGefLDU<QBzNG&v^&Ij%N4Eg~u3c1PZBE+!AbIOJ<^To%}cTPJ29$mv8
z)yixddL^{N2FvHs9B2MFWd3iEVHo%>hhn;T)L{<trc-tvY~hi?aD>_|WZ?M=a)yJI
zAgIdwOQ87#1ve`?eeJxwb{G!-G9VKc>J|*}Ue(jbQM76W+KYf>s{i;BG&0$-B#v3Q
znfa_d&oZc_hw;x1jE#3t(jXob>&u(B<%DuALV^o1QF;nCQ^hKY|0vmKulju9QNKa?
zIzDTuRthQnw@o`$`L|N=^YMYsXB0wzxg_P#G5Oa6@cL3Wm-wtpAg3u9wD6*CC?wfh
zDf~&4Y7&^@zaBo45^ziPcib(H?=3?YB*MF3OiS4cNg4F=adKLPftH8ev9;?+$r`an
z;m@28;#fr3Ga-1$?xBzZ2rRs%VT%=#)8AtD51OedViN{NG`8mM=md1zm+3|EwuEs;
znQ(NawGmyOwPA_!{IE`%`ru|s!q+wRoQo%pC1q~E|Hr^eL7~G_SU*LM8Ip$N+d1F^
zf__n)T>(PEr%B;Tj3j8dU{z}HzW80Z8kfJno9K)Hp56rxICK}c5%vwEwgHcXl!>06
zRP3iSo@;mT)SKgW((ZL6{@IjsN^DH`-92Sc-qx0uHvqRdAEJ_-9?h5rxe+o#X@pnD
z1x~p_9`@)d!k`ba^zhi~_>~$Ga*7eCjo800puoFZ=D%Au7LE|+^JKuKs<1&A7~gI_
zxFJsS=1(OEWJp}mCy7kDI;37X9^hDUa4GM?24ylG1H*u8k~?F(#i^cAH=*=o^TzWb
zjlQ^8XUqbOv18dz(lKB=O{f%7)*wlZ?iN@Y^Xx{nq9!W2C|)d#dGBU^t$ER~p}@v=
zeU`QYu(R=6xJuBF1M(I_x`UNTo)%o6(e{sr5`RNf(fz~V#)56IhWh&J=zO7WjOc?W
zDz+<n%hFA4eclhf-d9#6r{q-Ij0iwr^FC&cU&z<{u}*v$;S^x2MUj%}DY$7Crq;)i
zdHl{y3!9Zgbxk&zarSa7z+*Zup);PydOif=@7GPG1{{IfhK87dg@;^5OLU2G^s3oC
zfI7tm)G3DY?qT40y3LcE^k{Jmwrr_Yn27Tshv|laMZ8c=JGF-99_bL5bKCP#)+S|R
zx#A_;|Ke?{%#Sv~;L+sY%Nw?HOK}U8fX>G#C=20)yf>uY&V3A4jI>IMn~{c?%01De
zBwannCCksxe95dSIwe1+onQjxQckKJJqv05pFYkir*nE|Fy;`10)(%}Kz<{Wl8Oqu
zv<Yy`w;0B^p%epy@Xt`Sm5xUQx<%Lo$mPBqbXYbKb}CdBZc-cApzGN!^Jy#F`^|k|
zf^UJbB6VA@>pX1CU;}GRJ8eTTFgCA>C}!-dT}DO!p;v()i|y=Bui>^a`asrJxu~^v
z`&aCY@0Dm?Iu7p(j!pNDq8UPDPo6wkS|VCU+#?_>D{B>D&QA67O=75M<3)GIDQhB#
z#a3m849I9x$Ks9h-}@Y_N^N~}5v8Mtaz1c)+J!JXNw?V;8SgO@T}PWWmw@-Lt%cSA
zhIt`~^H3{p#O(ETgc`g7G$VRV<r?k(>FVkt8f8vs@7B98Uv`S@CDq7$65eN447c4e
z77iV#$gcKQRM5#Eh+!G+9xk1XZ1l2fu8dIV*Qi0|i$r|SyOVbz&#KL?t5;8yLfL9I
z?U$t>GQ{+Ji1xdU4{g~RIlUlvrIDLsUX){VPdb#hyES|_cPt)vNspT{nfV?BH1Et{
zrua&Ypr9axfXDSdmX$SVD0mt;x^Bi>#UmGh`cg)!^|TI@txNkIYw?nE${<e?JO@Nk
z%z|Bliio77sx(+}zhXXEJ=b1fD_+Mb@7aD8O0-?3=1lc8z9Pc-JNdE!t=)+Qx58mQ
z_8}Ju$`I?Nxt}|SNu@Yz>gKt*xx4NXMI6>HE)Uo)sdVruuK}F{x3wcgWD&%*{w+3s
z9JXWFg*P&p(P5J}axw-}6KWzAPIRxKIR=nIb&cznce7w?6l+GI`tp2iiVp7)WTtb6
z9F)zCu{rs^OV-jZpzb4{1BFQX2j!Z(NlQ407+21dDYX*GBwl1<%+<F%u~0H1CF0-u
z>b-7Y#>DoJjQd`5=s^h*UJ5c4&^K!{1J#T%agC=nH;GS#qV@JKy@jGclAt;K!Q$;4
z&RArbF1~qwX`BFw*VZ_(q@1+>Dyx6t#uiM&t=*gEzVHhuMicuvXHnyW-qvD-r7NWg
zS*_GPHj0Eag$s=r&j{4eQB`WF;vUs@hzNzYKV*ZYULxZ7*RJXnS|HO+1utFfnqf5H
z+B_(}>g{nWK37sS^FekGTWlM&u!2B0&?^aB_JE-}OwqOH_||P&*KO7v3>@wtQBD=m
zMkNW(lAwYKeIaCf^<*U1B(}bi)k1Im82<P%R2UmTVm(u(O>`PEcJ5cqKrp$$(o=Vh
zquHe<X1w;Rc!PYg=fIDZ?o#nFvoys}8|+xa@Yx2C#(uLT%$sb*QT=j^ri={Rf%D`Y
zh|6+rD<qxS^JFut8ZEWeQ?QCRhl-RL;efT%F%f8w!=>VqMdbAF<LHIXnu6hvQCPA^
zs;#@fuO8SIqyw=L2yR?^?pst?XcGkthl+mt4Q}fV!)^h?g25iNPwjnW*!$YK_p@{F
z8~5HfB$5T#3-ITwBrqjn<Dvh?L)B`i?hZCmLz&a!U58QaG?w*Uv}e^XdGz=9dEHN8
zTx(=}T~3^ZWs<f)@{f5UaJhQaT1spz1h+6R(WK-!`jp+7>P5Rc&H<5uIAiLX(ebtI
zJ&3wu6d%^OeQ}kG<Lyo#&f#Z;pVIf2KK!$>1A_PDCybflPg$X#<`x?5(?u@?b40#;
z;UP3%x-2)rt}Y!48SN)?2OI&6jJFs9KhZJ}FJO1*pIwFJTaJwoBR2L!IF|F-DF+CD
z^feVX7Z+DD+H<w;kZ^dQShud|VNM2A0w4lajY?oWaEpCs?i5~UqG#)_<gK}q(A^o+
z5v|m-XiXR@t+^(oJA95Qs$z{r$x_LQsnGZ40TX3uZ7t@q{=H}iGwyfREJ7wbA%9ar
zVWCPmp&fY3&@E_C;iKuHeo9@zG0B=G1uX`(1JXxNjo<@4btyV;1J2hn-z&n!4JdU`
zi-hs>@;W;3RjdDj1`ua^eG1I_;)j7x_dV44w*i98vI>zt{`w-g$8wPyMty`0M6PA7
zu#8Z5xR3Wg+-1;!s_%*ewJAi|F$ympjxmWvie7Z%yrt~?=+V`YdC<VSnThT!N_;$S
ze}iez?LvAoW18*SABKo5D?kMla-ihU%c*?wm1EZXL`MY+jXUH(GleMVW=!D_hv_1u
zTtF#sc^CXq=tDa-#AD!f$VTZ8c>!UB#(qEZuL~!P?@BN-rUbHY+^E|dw&9?J0%v1w
zzefUefZDRl>-Bicc|=+%k*MYNd0jv%MPVU#FF+M){00zx0Eh(6Jbc0?9Xg(0)z;A|
zu&vVOcxmt(>JA+bl52e0ie%qK`+4hDjfEw|>_xlTb*||_IW92~ICL9cH6YVmHL4de
z@M2n^J0Q!^PS!>2&nVggyE#67b=Jqy^5gv*0txLt5}nli%KR}3Ko2O>TnYiF#~z!%
z6IPxy77{GSHjRC@@cEY|ZK5w;G^qnYey74Z?__X8HV6sRQE5Yn__sIU*<q>3;D!n`
zE7wg$xgMt0a_a&<?@tFKKmdWhLI{6dL@mT{65bnTl0y&F!kK%-fH#uxdlp*#=w%5d
zUt|I0N=QmFP;L*7I2ZBcf|@Y#?FAVN`w;#Gd`QdW1dUCP0NK4z(C?OJ-cOn-WIJDb
zdbft*?Tcw+_vcmZ)f%gtNMXC>^by4T927@k0GKRQVrpT^lb3ph1-Fa(cewft9}f(H
z^SY&sOiPEv%Vk6SQ|8Q{BQlhQcJui7xapht7zMNB+GVo5s)EWMH=w1d^EC_PUB39d
z!i-Zr3~hM~qM8~o^)RF{QSw)kzIf-E*qe(!y0%(d%!-vk-rRO%veQR3gs^Kzs2B0X
zV3n_lh@6WTaST^t0H4N){Wc6x0;W@97O+u<mo}eDk}u;Z!&?{#r`NP{Gs|sg%&LZL
zd*k&~{~4;!fRb8Oio^2m0T=>krly-noOP;z{JDj0@&!4p5KtaAHEmd{_NqyB1TP)9
zJ7MeWzz8x(NpbZ4Ya6-WqTG|GPbS3C<ChSIlY`F@6dpBG3H4dV-+-2tb#B`J?Bi~Z
z$Ek5pHZWCUEZqLwJB*WK%Z!$A2DIYit(f}>2{rsCp?~_!U%CUbh2O0@wGuX|U*qMv
z{DxhD?edN5A&%WH5{_=wqjo7UW$15{`G6~o2ZTl{$h9Vax{7zMiMGp#CcHY5ey9%R
zZFZHBCZh<+j0UkL!~7toy?18Uqgo-VmfgD#%#`yX4oOxlxOWp39WIKKiIS~{*Wubp
zNsuS%(T(n8V!XWOhGth*b)2tUj^g}N>fj-{axc9<`e12)N-jb@Bicm_dRa?t34AM~
zN3r1SSowJmzAyIqL!@yY@L2RM0NUZ*@O!9W00V<ot&6_J1~6StcM-krGf`aQpmJ;$
zZNvCMC()WCLJn=YD-QQ#RJUBY47))66=<hHqzP{kY(+SqR0qO{+eG8r71!dwzF^IK
z8_M54KC!Y33o0xMdFWw+$b~;GJ4IAY8K?W`l$pIGd&PXqm69x5dr8-9B>cymjmG(6
z-7FO%2F`sBq&Hj<uKWubN7<Mzc?9EX($$1co@U*Wu*t!fIW6ba+Nbm_G*ned&z%$R
z+J8ZQ2Gm7xiBSQoOSexqQJc~vc-tECSExUMlunIiwZ#OqaCnt_d~hi#I#;`cEls@i
zVL)6!fIb(Y%N@!i!qrCwQu#B^N#^)O-3kl7R)RZ!sT^};wP-wd9;Vs+Qcd1py$*@5
znKF^IEfsiQ&`UEYyX&1x@CNHed#rZIrlXVN#PU01f7$bDEU`0*6c+Eyp0J4dZbqBw
zK=+167Y#_M_~2q|ox~(eLwQ*;*J(TRcOwF~cXDGhqNAds;BBNzN-;(VJI^Sk|N1`d
zBt_EU$wArnn2*>ZPXdzG3oj8EMm63{CqgdJoulRwStK_0Yl1aof+GjZ7Etw)SNqwv
z(Ki2NDl5C}5}QV2_vZa>?#JvGo=q8uRoYW*x;|Xx!ls^r0#%pZpSm&x9<arX;rk}#
zCUUfyF|x(K?;Any9_4E&rC*Cb4#U)Qiw1mT1M@e~`J;9h)YAJOFW5Z#T+ZXK%%;gf
zshHV)SBUO$s2Sg74tFS{kQ`MDB<ApVcT7rxUhVjLo$VEoqHYU;NSVe#Tzem98x5W0
zwOLKAkCwdYaujSb=!fs`zw%+_N!ziTAqo7tfl*5tt(^%`Q~w9UD3kNx)BPKd`7UQZ
zC<CFCDrC&c@4s7i{hPbB+%L|iC<o5hs9E34fw8z5J&rN=A6n$U7=T)l<R%$X@H%_6
z%O&KFI-81}{Osn_N_5}8lZ~{(+<PT%CJq(s&A>8w97}|pLr2VqdWxYKjmD7Rh_w0(
z0qj4^d7-qg#De!uaX4OKZmE}DNN_-^eUd+z*SvX@HQ1WAH}7n<m-TyiD3@UkbajFF
z<7XZa48_in8xeA6&z&1JRo^e=oQ81=uqmZ-#=O}grM3+mr&o_tfTB%H0m9B2FFztc
z?Sq&D5F-jB!PflHl+H--Vu=D52u*Eyqjo|G?O&8@%ygia37AZ_wv`xY@%bfSP*FVY
z`V8wletDka&B9NC_R*gU9gq2<EL3Yetqiwpu+m-_*n@zW%-pFDqisQSlVm%NNN*{f
z1bSki_W;6EVc+pu<%{jx6stzptc6PTC&2mqF`cV^V_s2RVE50Z_Nh>QY$+=X%ksNQ
zk=ewxmC{<gB3le&$+Uccon<I5h1^W{-cPC2`_uqWmxm)9AaNwW`C<=m3S3{q_FyQl
z!2n)71x@k{hzc-a1z3RY4o~*=Z^qDoz#VqX90G?@TUCi$e$%U(*Q28wsU4Gen>+S`
zdcd^6?Jr(ab@va0UM8oCk*Oh#hg=5dXxWa-zoKSppQ_A+R|4f#bfZ4e5s&M^&519b
zo$$4ZcxOf+Ekltw{%d>OvRK+cNch6f;CV1wnd<WpQ9%-aj&@$G>~8H!H2nm`R|Oo_
zCMLh_ZZSv6n`FEnag-MJtaZN`A58s@%V%OxrR!8=#UPC9%F{Z-x`bOweTv_OuHXUu
z{uV5@ap4AcX2?|dn+NUsqk?wd)%0&awDL5}xtT`F)}1u?v-xoP786PBB(w&5mnSFk
z3Q9;A<~$Hkb~bpZa9P3xHao;S5KkEgZI5kCWb8ylMA&XSV}5<!{vQ{>!QsAw$aZfI
zphwRIG9PF^jvHgJ6DtOiJx>jB7<ux81hRjMA#}N!DLnf^D!^GnP>>}v(RW|DeF}IB
z!Hy=0@Tg$rK!=-W@`~B`t1^4X>}tD5Rx+@;TtwXyM(=Y_vSzhFWaC1x?NnyuWfyv@
zk`+~=&@f+_<ks?P!J2(xTF+Wqz;m;AWyL`-Vab3yQ(sRnS1Y#`Z$EbJ{3)tg$%$oH
z0VraIqsWN#D0({)62@Qnd2q%fpX%@41AZ^la_kZm*%mz)#0&<!nWiSpt$_bu=jS_<
z;H>beo?_y(v+^vwWwXS8?(p#P7TogWYX*=E)T?3Qc6Qa3mlUs?AOxhh+o;0tPCI!*
zq-ndYU`PMp)$xblZ-Wtb=m0Gw%mSEG5R!VYl%<t>s-S{IlJYeO2LcdRTr2=3J0H(k
zJ)Y*HKyGJu7f*?(v_N2JYO}c^B%A$`<_afU^yOc9AK(ATpy@OBv{Gg>d!H5gqwL<e
zT>I1n)5!*&^C2fFpzQPI%eXKS7)EAfJWhNOP7O53xw#vBP&upDLUw`!(C(mgl2|=Q
z8tpyryLK_QqyEoG-|PNn|FH&Cel+w$K|~ODiR$qP#k-b^J)*oinE{(R&|*PZBV!l9
zN~9X^I9j>{?^(?KC2%B+AN#t1oHpBabk1_{nEJ<h099quBRXe8<OVjrBA+`zm56?6
zyiQ4D6Xt<`iwg<<mOzkca=$3?yh|VtW`gp!I|Mw9?8Uf?ozr8BtbKLKBuD8-*$efX
z4lg2~_?chxDf|$v3lq>L``Y;4)^d6=1X;OEclSX813d4uq@)t-+^1p9&mGyWyD)(U
zM=)!Qk#U&SvGVL*{}!@bWu(rPX;Y#Lz(VE`haIk_1G>6^BYJtsx?}LwmywmLOf#JE
zZUe1f9MhIYM~P(hlWNR$`b$yVfiTW*$xV#pc(b+u4HTjXqo0=SzJ>i23rmEcn8bhf
zd8il_n+=O+^YY$RY3an^U%vkDp#}shb6HmX{bTn7R&Cji|FRu=qpNX}F-EajgF>CT
zy8X!uZr2=<uu0G4g-WPro}PAX>OUWSHJ=HiU;6_pXiJt5rZ{{aR|NVt=`o;Yve^c;
z4@$i{bN=F{X&rtvS{;I&X(t_$0@vMQP*+&E`7r0f%+x>LHafavOMKBb*B=(gv%ltB
z3ft|#{)vzZxm}65V)v1r9-ae8Ae?>n2>T3>e+HF1{vU8eqoxnH+j~NTy)Mk)uOXz(
z@J>HdLpx9AZ`3^;n9EB1o-8RKfwAmX1$F_PF?|^g9o>enKkN}1{Ym=EweLDu+k>ri
zy>3RWirRb6FcQg2hfRWY1@kb`D#md2Mou7Wj5>@wo)`w~0!1tT?^?8(G4`L8SW}>&
zI!UqQRO|*C9iUOJ6wdcn+Ge@L(~d_}F>DgbsMu1@K$731dGkqQr#thsfdM+ZqcWsN
zL9ub%2izSjj<xRUmCTjs^O4k6FWta$iz+JQOiWA=Z*h`uNKB4Clbn1NT&i-tJOQ}V
zm6f0L^iSSA+ZW2ukKygmeWOJltW|U2^}Wk=BH(7*&1Gd|mfhGJcvx6jK{Y4+*VQyd
zT-^MXA1|Wz028of+8HAX{t{3(Y?a`}s2&NJ+P5%Z0iwvg#`6#|Yckqk;QuM_t%IuE
z+ptkg6i}oalu+sJ+8Y5036X9^y1T&uX%Hl&x1@lybP56j0uqZ(5f<H@=YH7l_nw(A
zX3k${&dgbVIE=(v&-2{BJFok?SUdZ4<sDsy{hqA1ek_E9Zvw~6RVW$G&0#0D{^Nu4
zJN5YWJJvI0Z}<&T*PVo7<XW~xXrr<!R?8BFQ@M2_M>m<H%~`C}Y0fIYe%+bRbe|&j
z0f)jQC8sitRmfVPs}Gw%$%^Ppz68-v?t`b~bwu0Rb^U>eQln*SOWNAl*!X>?l58k6
zuvH-5J|AVJraq`)`(;c)W4Ocmn*M`IheZG;GRJl9S3;K$%5q?E0UFQvvsgw1yJyoG
z=laL7fOB*!a7K&(4j6_ZHj*<7P(tGxS)t)+JgvA@>NpkpWe0G*@Siqo&<hn4FP$Ev
zrF2<)8tkR>vxf!X3szz`l*ec=Ia+xXAklmw3Bz>2FhO%U$!}dC+<FYW?1b1SJy`}_
zLGe=M!XejZ+v?DTgT0?*ir&?2ywH!Wya4oF8x-<Mv?D)<XqwPMXZ|R{?C-m0zI$st
zl~H-MH0O?rwiWC3vKloe1sRdNd;$f--NU4bnKG~L1Yb?O^YF4N-i_&3rBAO?e!l9X
zd@V)}>sf(=|Ep)$WQ$4(4P#Hf@wt$W4c}=Srt1pL5T4yMGx<8{y||im9x^!IYnD;G
zXS{P-+vl{uD#lvIAnu*AEt0|@F=Hq|xfj=ktud-*Yemm5DtcNHe^^}rE&9DZml@f5
z)$*$vq#9LO=2_-Pw`QuUcg}<D{C9DUHTn$h!2MkR3k#YeE4KkyrOI?G#zs`=%#VOM
z$ncSz3dP@LcdCLXqG3;@*KB(lW<?JPSvsRsma3`4q-QrP8#+^W_Qn~48)g4)BJ#-*
zq*bwyABYET(M4rU^poI_tZ*_@ZRJgpiesInT_HU8a7`}u#!^w<##1BpyzJ~Y`=s<9
z8Z`MfrK|*(zhexk(W64jmBmG^!#)pRZ_oQ5;y->AaCxbE55=R_%)z#V!=7P^eNQq|
zrRwB`n*pRswI<WU*y)mg_}IKst2%c685NJ-4LOlY?>+mpvJh$Cqg9KOVxP5;<VYPP
zsqRJx*5i5UG6FfFA~mY3s{@J-BksZ|26vWoLcCi{0hLX#$&e6|DcU3KyaWJvv3XI{
z$%^63uYmzoTie2d<rK8+y|^#6ijqDO{OEBWh0GUbEuRUPSw-&tgDElhB;sVZR{hr#
zsY<|UN#qvn(EMzj-JDN+b9lHk$M$vOqZ${E5ww{Iu?{V}6Ct%VHAP!=mRlwaj*dc~
z!&xEjdd*j1D!jwhDFCggJ4mRh?XQkK$Q1E;`K0&oq#}^pS4A{g@pxSTNN6DDB`w}V
z<+yi|(CQi|<m})Y!-rRX1Bd~`dnbBVF<vRW9NSBa-!SB;oG;~U9UU8k@52+!J5{H}
zx_UWMCPQm0IS^2~n^uQ-&xc*cl1QxX+?>3D(<7Fvs=&U#^!oLsR?^u{MdhBJI%YXf
zPft<Th2i)IRrzB<Z&dYYvj#4=s)qc&4wk_b6Q#lzGR)n2vVWtiYWdK3vQxKH+^XwR
zZkD;v>b^(aT6IBg?l(g_x~2)^>W+M{A|bnJ&|}%G89b)A)eLJgT_lu}1O5H8)df?e
zN?1`U4&8x~27I<p`Ju$a_zS7<5+&r2{jre|Em{l3cesjFAmKhSF|mA;S4~Z?pllep
zV)NCvFYg}J-)u)`NBOJU)1eyUe`5Qe2PK6Z*xsq^IEkO}C#5Uk>UO_-$1rqvXJ@0|
z>*di+@B55I5m$}g;4%gLEUNN7_n~Eq>-2eVPAW~0ujTX%fC`*h7UR}#ao1aNzXh2w
zpyt^g^?!{aOfm>MBwEDU{*Hf1<eBEV@}Rhhzmwkj>MD_hW-No>FCOc5{T&!0mzI{k
zdww9b81#@72gs7Y&}-1ZGb;QWxhM))@&LJX;GK@9a>2jGuleA<doyXfcsF*n^%QJT
zH`tAOrT^^eqS{We*m=UAzCRyG9?w`t$VP}oMMZV`Xk?Z>R9MaS=}jk;Y9Lft2mLVZ
z6(PmBZyJ@U(r!;#;Ly)Q5F{x=y^kwHj~_=Cnwz`nmPESvH>#it+sI7{9o&ssNM^?N
zamod)k%1O*-3)dr;3(h%WoLc<gAhD6M+_sDWX0@$bI^djlbc)Mbx9m@IQ_Q>7?w}}
zqAI3aIv?=Rk4jj!-Ff58{}iiszy_5M1ft>L;bC>3qf7J)<xvDCMnMz78*iMSl6*6S
zB$2W*%Xa5SrRB{<S=sM`&zxG-d^Se&i1(<6oa@rljk+GKE-X~eS07>b+{UC$K;M{w
z>ccFF*=pL*Ktp4wTWc272i|<UJDY*2mR;{Ab=3H+9{LDfZs@*@haFidaD%6@ik_V{
zz@(&r{_II5iWjyty`zGp+x`?6KZrSDU0q$J5FTRkUQ&@7KDk2pw`2->cW)2YL~wK`
z(1nKk;2z(8GgMOQxqclLoVK&O3miotl|oBS(GK4VdU)rClatdIZeJgxL*C1xJup)8
zk*a<lN-+D=AhLd=uGPa0+Ds`~<{!<W1E9%z6{-F<Ey@!9G~Gh6O)#hp@h<B(m$Cr6
zrPZ{QAUZgW<MHz-+4AoaHZ8q@GHPnw?yjz`K%N9}bslobjAak7#o<7k^oPNHC{#@Q
zOMvrxde$^F`uKZ~R(#AdhjI}#9TT!3m$M!JOtdHw2)goKV(W#@rlBCg)(|w|(FW^5
zMW%OO0R;Tk{Y*j$8I(>zN|mafwk2j+Cy<J<^u(wPhsBVr{*LXoct>2REC)hO1=;jx
zz<X0(baWKnBG`j$T(&yv-TN+`Syoek@Rx?Q9`q745vbtLh9(#CO-)SHoyo(IUAcAx
zde(+-Ia>*(W>Vy$%yL-F=Rbc9zikl*dk~oN0pTg0X$8WQZ(=sadw=#*X)y8w2y*wO
z&5#8zz=~?V8}wqA^KWF+WdbPyiGiDoW@S@Oh=1Pl<A_jP-3eHtm!3ld;7E7mP9v;4
zwPIg?t7>S$@JBi~#Kr!x+EP|-UK}5hP6Loxj*iMb<EIfmjHbwO+eWQlvEcL~su3g)
zgR{u8KO&b2RF%*2)kS+|lL90@z2sVa;3m%q@^$bcF}d~qMe*L=URPxZ^Ai|es^_W5
z)ObAY_P5K_+m#Mz6GTH6+Tn8#CM!kv{{0|;<bFH%hz{*@|8lm!34aCmw=1Tjg}?cs
zi>Z+N9E=ni3Lb036-(62qEeD?JMI;1KrT4WQy9GkxjIZ@+iJ7vKd3my=M`P1VW9!w
zv!0$FaFDzJwm>TCIO?1CPF*%bi@#Yi9RpojiO7jwt}0Vl*q`xM{FZB(@0(&I0v)Pq
znPW-eAy~2hYj@zHX(LHHrW{!IGYHtLza@wh6wDcoKkX_S86B;5*HF6u0fIjuQ29qQ
zp+@p+p6PtDp$NwR^CzWoKz_G5zjo}CDEcyT^7xa~PrvizGozv%;P~p*{n8C1HNP|m
zK{#m}YOL<V`H5~Dv_?L`WZyMBKjv0x*f6oy5q=0wPQ9C#p!~B6UR$$K=pWwcD!Cic
z)!pOA-I~^J24~vjacyWZ_^2RB{XLl>XCMj*4}P%Zoh>>cbnfoZtj504*E`<B<*3o4
zIG-Qv`BYX+R&jz(I(!z;P*A@zRuuQLbS5Mx=c_USj3yW#=lX~CKMo9=r@YtBN_^GS
z;50MEXt!55$%e8%>$7X;Lb@_VgcmnR3&O2R4p4W<>Db~)kiNqUk~|r-PeH3O5w+Q$
zlv|8_^oNeT-yNG;r+XgaO1U<ye5WeA8d)paTt_=BoP1Fs(&;s{uTtaV1%U*3VdJ1F
z%!lfrprF8?nLHz!fPesqq>ShUX)TE9R%kk4J+QmGTaDHC7f)Cqsp;1NdJzrxb7kU8
zq$E+ld~ug(K`8fH#o3!}@HzL`Sc3U*ATu`VDy><5KDNiX&d5HX=~4Jpjj?KcyqIv?
zba>;bdrC#I)Wp`|3Bt}B&?YMHR{lPU)JWGjy}9c3Tdh`2Ks;|xgIfkUj^df5{tXeG
zJ9wNzz8s9feUp>*Tk=pGTx3m2=wPWS+1B_p&hEqVlZCivEW`jgK6h#7>2edPC!->O
zPdSL;`yOK0@{N0tKRnG>kLdlNm_d&daI=;9?=q9o2eyD1hb3(t5qieBpl<Ic_`O>M
z-BE#jc7lI_=5j&;m~09f7ARi-B|>drx-2Yo-uKdq9z7s3(=jjI6WR13y?GY1z+};B
zR4Lq!($vGl!^v&DfJJkgT~?rPZ@hPgk}3lp`j+4}SPaf}vInA{g`71~d~KTvvoK@M
zK3U1jciv|F+aM1p3l<qVOXi>91|9{JK)wfk<G4j+SER`J;=B&VCnW)>qWMT^dBQYf
zsoT~%UM(atl3VH5V&bDuzlcqrStjs(ru3LRI_vYCxXVh@=omu~NwZ%t1w`$@6%DsK
zGnzh#)F>4G{-Ku-uo(K#9*stK8V@=9Gbi?Xejw~C{l2i_CX~E~MxCa4r+9yQek_GK
zMvVuJml({ip~aJv`u8N$dr2wUZz{c~ZzY@k;`@*yqK&^S?fHl0YVbO}W-_oZj~mdO
zWzHr7gp4rfnSI>q=XthACVb>;l>5ye*x`8cz^_{eAaS`oFxmmcem{GqO_tq-HDg+S
z^>XXeg`E$JBRjc$r9<raK^(1LC4MT-F*JNek<k&eWR9&`qTTd+E77{+H^L&xr%xYg
zHE5g&0R<H(jOa&~DSj6aK06W6Aj1O=XTz=s``OVX5$7V}xv&w6jT<`|)fQzpH!Q;z
z|D?bIBOz;de_u&S3Ak8b@$K;N8Z6*hI<P?*3qIBV&e?#+xpHjaMgD8bE$RdP#e+!B
zp)F#k+7C?(GdCLSz$#!=k1Y+WXhoD4CsZmIQ14CHLmBh>)k9$<VT+KRPyWW3<OtPd
zX*EGLh9s*G34RhhbD3v+T}r0U52sm#nudznG|9ajnbduhNXUW64h%&6FHiS?#-=SI
zrN}bHj@@qrJo?hoy-Z*^-9F@PtH$oUrQ2a3`Aekr{Pz|!HYLEMnY_E*;n2S13ZK1k
zPgQNA<m+KjP!Qk-;2bUASd?R&>ot8$^yqo$m*p=|dP+TI>4flnrbmGnV=wK~`kGEe
zzA_dbFErV#Hk-lk6y3NeLTC$?@t<-_=u4UvyzCP<32}CDIZN0b^{Df4T9IYfjH_;@
zRLi**Z&=7-ySlv0OdJwg+&g0r#S>`+XSwY^Z5*Mu%nkJmhp5^%b&EMXY#mq^hpG)6
zF$&GK&z1Lv&%;;+^Sg-@(UvX!O=+8P18cCCnQ<fMIy?xNOy9i&LxA>|4!5KhD<HPT
zCnr-;QCBdN#7<#rRG0sHYXSYYq@<OFg^z{W*$%CmIm%nQe@g~;q;GysW439gOY^9!
zkD-I?rjqdAtJ!Xu{NBef_3=;Wu*rUaK~&m9=+Zz^((#j3zd8Ln9-f99ZL*oA<ugJC
zXf@GBO47on1xu#|4|&0|M+yizgwu#q-?*x+qcgjCkbpUzUDzp4{Q21LK_FqL_V}F5
zT+<APQRs3K%X(k%QE>NhKuMR#8yWgO@n|Yht~KoxW3BMngLRgZ0atE|tIhM0YdFP+
zQY$Sl>_O<y^59!l!5Ff>osh+<9bW$$_+Q(k9c=V|NUclL3-Y>J31rtwnA_S`uq^N7
z1pU^{Nh*vrVNRLFi%esjQ)R`+m7aatI$U0>2ccf`#)Xf@>*paevOs<9-X}7U$+;@q
zH-F6`4*kHbqP(1s{Fb<&$ekN3Nt)offusg{B*5JF`;Qi5=8lY9J5jg5E-o)qOos(U
z2LB;miEg>hM1qa^CB32a-iJmRn83gK6sIsAOC!Euxr^k^ManD_MeRx+=HXK=BPnsC
zRm;*;4yBg8HmVj8NSfVCSM@rt6aoztM9ef1##+Gd1nb9Lthu?c<lFVxL?d54=!Xtd
z+23;bDF6u6FNFOp?J9jn)opZe*A<br&Q#{3mXqI$qzUbpFdEC7Q)!_{rcKC#MREOs
z-I3_z6urt2_h8N#YSr7UaSUtjDGhcW$&ku|C2rh$6J4U72P?Rw+&Ik_uw-h_=L2Pa
zp3j-aEcs;k6&#=T9}{iKrynjC#F54{nO%!V7c2v0!eoETkYl(u1kgWYF7l5%wrgM1
z{}GfBkih!QWR!GEpS#F*s@{KU7(}-hE!unLMQ6Bp*M!(+e{$@)3FR(VKTGWS9`|M?
zSeP$~qO!UWsNelj2bN_C1}n+*?&0rM9Q--`Z&5k{om5)n7oc?CRy&RRUAW__Hw3gb
zOkL^=QJGg-79HsEUMBH2WI|9FyLRzplOg5%G}=Y?Ovz5Zl;E2AFny)UEpqOhd+R9Z
z7lA;Z$fWZGNG(Wwnnv3?b~n%1-TyGM66C=+2ZU8XT;BA>9K8RX6xI`>UdivIvv4tf
zbgdD|%4*JK*iGKw43$CAd6vx}%{|d#1A=ba`cDaoK;SO^v+d3ZZnT@d7>)#xO$ktn
zxo^F!(xs+om%V2_hNoiJJ?hDIk)eU%_x2VSIj2tX_#FLYkwun>1*%eX3J3ikWa}qz
zH%p6<86};BIx%KiVlx`&sA|hX7a0LVdlkFN^E@(c9a)Ine4Td;-he;j%U>VT9>$#p
z{nX&OOFJVg8^!#@jRf=LiBLF+yw#I33CQ1eFRE~zHl8lfXl2eO%>GTuEQT5v`%DRM
z9nx1s5!MPE!}?|?xSaUatnt(3-CHNQTMAHUf&2e(oiQ`%<HwJQiNZ^wi~g2PUuB|H
z`0L)_rz~uKI43g-?jC6L7g~Dq9Q?(mTP@@|Wg0I-fhOJK(Ihl-vgdCq@m1tyrI|hH
z|2ijB;hq9mXTU%$Y*gCGR=)T%@>FV0*EoE3q1r}ka3M13nXBkyj#g5}H$gc;BP)is
zOfl6?Uw1twN?2xOYkuR?6>Mnd^9d(c<i>8i<RP0+@_+L@TkM?pQRNFO`iiE3w~%!W
zIg37KF+)l77}!oxP;?(o1>a)vpH@m_@4faukn=awY|=5=op%LoABvlFBf0PU(=!Hf
zwg%dpBuI0Rj{n~B1Z#?uKuUZaCaBc~?Cz%aJnpb9vQBga9|u{k0Hwa$$2(0ClgV!F
z7Rj5(t=#Pc5>79-ZVGvpJ||7&q0?p|M$gZOZ>6I4lQ%=99X-43EW@-r#HMp3cnJ$i
zs(zYDC6+~F(U}Bm##g-S_7gyN3BH8wR#Q_r0SyIWgji5=`1emJu(Gm-NgGWs)fY!5
zZDbJkrA|Ib%hR`?=2H6&yv+M2=hS!wb{1(P$6cj<Y1_r=RWB{QJYEbIc+lqv;&svQ
zFKrDBn>U<Hre#j}NYx$MX++uiTY9=Q?<wgQ^8C(^lrKGHpK>W^@404|pQ)aK&8W+m
z`9+l}PL^LYAIhnrKLnF4&MTzmf5&jf%FthQU;SHV?WLaT4zbS5`y{{9r0pQ({`m?p
zph(F$b`Pmg^XG@08%_w1e*O%d6;S*#z929({xIGNUn<A#v68rX(!>`G9}A16kNc{1
z$16<>$$=|>Ws<jZMm%_M9Mr3NjBWa;Ih@P)iL5A{L`(0RG$mkcq9?>sP*O@2cC~SG
z^O}*petVBKPVCpj1l8>T5ci>xAizV55Qji(oRvh#BZZ%z{{aJQ=p@>8M1u79pUr1a
z9x~~i*fVB8(hHp8+B_BO?vukZ;j9n27x=AALuI2RWUAeȼg4O-7jPBQ2Fbh0Mv
z-#gV$OiKp=J)@f!Jc8btBva3(7!`btj}~^VBd7*GP|#{ch;2eSQOap7OVtJD3E<v8
z=H{9R{F57O(C&K$6Go{;*DvnP1191Ss1H|SN90|rdV@_h!=#(bR~bx8hm7hg;-7nd
zYf)$*l44vam90-*wz|(LL?$#D3Xm;Q$IEJY-b=$H*=hZ~(&_elD<hCe^x&s(r$*$P
ztw8$4$Y5mEp0o{kQW<*6HuL%Wx?*NuP!=k3Gi>3L-e-QL6Gdu{K?hSx-nQoET3_|l
zP~f+E&nYZzdYwgM1Btg8@KsQRv=(dw`)?;-zx8HL;@-Cn;M6v0@|n1{AJ;cAk)O*%
zMUV7P4k;jXgYs-m&6uxfFUaCS0H<h=q-P`&XZ~9*hddZbKS#PgzlXz9r2X%8mssmK
z+;j45uS*&Ehf6Eg`4FRCJujxySe%p(hmJa;!Ri4=gLcY5vb^hJHMN5Dcx{V-quYcE
zQ}6(tddSQ>!5kGwo<|+w*A?0?>O81R6}t$!*49+2V+m6zDcTu>@k3b0V!^u*nOOEH
zsk2AE_o1e{$5!eYG_bGyP*O6uRV3ullSpdQ=%7iLlM+b>8bWE{DKed6mcq03=ic!7
zB%H;y$by&W=+7T9@>ggvG{As-j)fQ+<<WiXdFZJec4+<1VZggvygD|%QOPy6To0~p
z=G%Wm&x&$fyqA8#toDal0YEy#N=IAmp^E$4j!%$>gR(HZ^yhzW%XhWlV|U+bhG3LL
z*d3qF^FrM-w?2Ztv<n~4-ljE#Or1pK$GZs*oaWLN|AkYL8M&b?kR~Dyv0N6c_-+<g
zMZriftHNX4UZ?vU?zQ}t^~0>qq@4S%%iE5}pOj^8^bVrZ5^~cxXSnp9opM7%04i3Z
z+XB=P$IN}KruHedY4#0tr}v#L`<+kwoZkAw;wfmtU4IKKLRFm5=7dAU^b4u7^e(C_
z#f)VkHBwinPpq6bdn}JmIOXm2Twx{j@MyNFC^<GQTjxm$I!}B6i&N0O6zv|zNLaXB
zo%XPn+VG8hz1x})u?)G#&l{xo*zxwFc)?~<SQ1Pt85PKKK96Gq!r)(C0FCPA%)MBL
z)O4Y2rKBnzkNv|B8_N-sizhF6H3TCo{#@F0`l9|t-qhYf$S7lB+~C-IF<VGjm|}?U
zU8-;g(Y)ZBt9a>7^o+7!_g^N=jpH;!ew?FfF&EMdd=vtdCP|CWQPwvWWf>VbRc^Jc
z$5y-}KcfJadH~nd6j*8z!}juK2_pquwa!i7SSXJl0IKcn?j!amBotI1LR@lU-uK-g
z{oAPO>nfDt=;er-NV&Rgmd(Q-s4&&!m-c@$NE51H#g>gfy8|{WURWiNeP9jS3t?wv
z6hQI4tgU_-`@-eeX=hjx-S5oZBZ$r&HFQL$ITrtwqT}(Ux0O_<oTG+5Ew0_l;9fHa
zNb1dIkOy1p5jJyof9z0UmCfdqB6nQUcbpN@_((o|1@jodC{gTx^C&E@uk$OEsxlqc
z%?15PEm&V!0dzKd?s_4$0a2@_tt~s=p*+rsZ6wV(F6GMd!oqOl(Y9q)F4J!W^Blji
z4;76|nv;;Iuy7vHizxX#<9CGO<Hi=8lmc;Ns<(M{%2;XrexSFZOVU<lvLn_YU$Of0
zXK_&WZ^z9}dMQ(`_&oUv%J%cns@#}_m@KL9(Fr+94`LF?Zd`ZLOBMCZB2V6X!TXlg
zE$D7eZdc?YQ}}OJWs)^~f?1!lbLm}r_(Y!#^u&E$hBE%qlE9+9U)6zn#bw7q5hU5S
z_|<w0IxjPFjP%bwrXEq_Txb7qRFG={(;Q>17&(ZL0Hgh8=ty-yF0p@K>M7tUpx-Y^
z3%SBJj87r61HNY<I)wa36dTD6S0teuytmi!!NF~<NIfv<ueX(dV!J7KnRc_D+y^nk
z*b~D#eG&<`nFQ6?kH1~giG&`ZEOxo#26?QZHE<$jGqhqfmz^+%8S}_wcx81p`QyjW
zepwVAPxIgTJ(oq%$&UBC>6xbd_UkmQojDa9N~RW{<@uAg<G`4i=IFb4kWkMV0-#)&
zQgl}>S9jqrOAd%fgP1~ca<WQCd%G;CtJ<Dfzsb#AbgBl?Fym)aw~R)30-S@}U@+jt
z-3<hjcGn&ud5N&<zf%}1E+9nkV*t)g;?V2BT5FtUApRt#qp$8e1A)qB!lxC7C;cKY
ztr1I&h@PBg54e5xGPM1{6I5+hXGsl6HewSpk@T(1ili^)=8((9TPCy;W?fS&w0|1G
z&-&TH|Jvo(x4wjc5XE&&Oz1N6kULYht&7J!xv$WVP?^A730~>F8zM?D#~E_<k#}S?
z&Q~Xp_?&xGvWoEd?A^F%0niPXC-<P2cdMgS`oDs(L`Vx*F7%m}mP%MU*UxwjT)o}T
zmW=0Fw=oqt9IEi$4sq<ds|-F_x65<1;(u~dOYTnwFf^%AlB3>`vz~^DGcD*-apTNF
z^D?+&-f>89mfSS-dLh}u;-dS=r7yv04?Dxk&6~$ct?_%dyHi9Hd(esOVuVt%_dodD
zKi><7cDkYGMY3W&k9LE82aR*8l?`Q*@Jmu@C8Y@Qu-Yw28{cyEoa^yz>|JRZozJDM
zlEXSAKK+7;Vr1XB=~oSQGSX+*k$=xAiy&)L-wca%*$8@vWeR*B$^&&(2FQ+YtuF6#
zwb{3}wFRUK%SDN3$jByf7nDGYt4g=qr1T*>6yTm@XIPgp8u^5w`3R)BPd%D!+G{>B
zF}~3`vYWxn#CLKmTv}f@Kyg`hy8{{JGZDM;{9bqU670q0@!l)X@*%o7m)nK3%>vv~
zPAm;`+2xDd^8k9I5~<=)Lwd7>`$kq^yXDpzd8qL4+fq-#wMguDzE=UU^^oQss$I&N
z!Mgd5E3G4&=(frZXT7Nk+bNgZfEY2<xwt*6suy}I5hcxKr|i5s_1MjDE{vE&MI48d
zI7&xWa=YW(U+QaBt!iYpy>Ti0@X$m0?acz!w;uPzWca}cI~Ry+5N3jqfv9^wxQ%Fu
z?;+~fT&vQ}TOL;IygkaRuBl11EI+M1+SRpL2RK5Rwt`z<eu%&5LB@L*6gMp-qo`$P
zaYh&y7~)>!<YSDfJ@B-?j+!PwhYrP+9^C}Uhw@dmmPSatO0`xQ01-qfENmd{qb&HH
z)Y9A>x<AV_E*H?7Bl8KH;kH~7HoVZQH8nN8x2>%^=C+1q6a^ffk2KsLA~vF{g2DTR
z(VG6}1{4kj{kX-B8VZXfDNu<7<demNVqS$#lTv^=myKJD@frQ(QD|VAe20@5*fg^N
zYwl&*)_G-zs0nC73TX_j+m~AtM55Vx&m#h5?%)ZAm-^E|Ct_IZBD}gd=*0!f=v5ac
zs$NT8$Empf352S!@}14tfo1!40DsZFacVS4ylH6cM_+N=(?4(@*e`s*m~1~!E`cMj
zyDXL{9_QoC?c|vPj!YGE8=C_CLhO4dM=nr2)MWOL-QSF(=J1cKk-X7ExJ1*D_79xP
z6=RL*b9`tQut5tpN7CY+RmD%%(Uz+ko%dRYv%1r4MH%N{p$6OxBs`Mz42K^&An3pV
z$<lI}FT(a1Mk|mgwnc>Ad@N`G6sLzMiyX@cP`1`XFf79;r<z)W>0M(=tXyV+iY=GP
zGmE*jhsm<k0{yLeyu=}T&$%~{42cjc{c-DR!q`J0_4Z=9@Uc74I)*-PVxrCot&!`d
zNTDtp^g1lcn7(u6jl?}Cl?K>=z;Jc|6yQ!`TF~+&R)KUh{>eO+Co(cozvc@Bc!t7@
z)svHxY(3*nI|Co|zb?JYi@Mn|h<Xt^w#59l!r95mYM*rIN68n5s+H=3w1)t!ke>st
zE<k)zb&seO3bwN_RK-3J;S>@ncqj+cSB<ypY~iyYO_T+zI+i~iyP=(U|HD&4WB&(>
z3kyI%^>2A59UR?fup?$y#2zDubPER;;1;-CxiF<J2xhstOJu10>NYv0-oseiNXd-6
zJWFg7-OOmH1Dy4`tIQLYaZ{+;05$<zPLhAn?Z+V%!otG9P6?Ir*amTCAVH*Erd_7^
z+qz}^7Es1uixWONv5)#w^@g6ayRzvB*9164U|YDu=wNMa%}oSg9!NiBQk)bA8cEDn
z46t6<NPaOxTt#DAK?Hr)bK@S50u(ShzZCT31bKORxw-pUoYo6VY;0`}9GeCIhx1}$
za4&yw4X^jYNm!5VDKW=cM$dN?M*>=MY?Q4o40frUcMfM$=q9R%l3tryoweR-URYh#
zI~+lZ68w>*NU->o7Z(M=<LRWwh*)H`u?C?85RIj2=ZA;=@niOfjZO_Rqm^6@${!}B
zmU%bDIXO8`#-H{OE1pX13-{cYLPiU#qGXJjx;FNeNi@USYo@O)%AnYW>x@<z+O-o%
zlA-5gXKm1AfiB(*R?QNd)%Jac5w)JcBIr|T4HDNz!b7Pnxj5OPOE9!USvc>=bQe^U
z;E$5!To;EMD)sa>r9jbW!EE>}Oad7HG%ZY^1>Z1+a?an3V0?nL2&>H7J%So)F`TVL
zgW}P8+keFIWEnx53?kg=fVaW9vWta9Zg#fmhmv3L@Sr19Iu|v?))R@)RpT{+Bl|*d
z(R2;b9fHVz(YP(ptt8irdba<u2@#pc0)8B|Y*6Y{kt<fEaHPc#7jX3`DXlo&Ify?|
z)n}{ZFk&&hei^!rR-z-bAlU|$B^)F@`5PKh(NAXDQfbgk1QIa!wwBIwhvnUcKDAS^
z#rEPz%B3E-{4X^BzJ13W7od8g<0O+qIeYNI@oBP@k77V~4Cyt*-kkQ2ek0ODK>tzB
zKc{5pDjuF`ZYy2R`&pr4%_l><yyJLyK=}rJD-ZgLjeI{R|5YsBe<-1M$kS!TS5yAM
z;GOtpH&GU867$b>OLo0Q%@nj-xUsxiBG@-^NR~M)a04yg=l~SR7<VrY2|p}|@kOQ2
z-4AOy;mi}wPkRXEjnO%Oxxnj`z(7(X39MF44$30(*yl@OxvNzvS$VJD<0(k@<%1*C
z@a(-W?l@^)88Riu5hcN;2)!uiyi!Nlu84R6RUB4-v&HlBhnc>tt)%|xGt!^b3weLX
zm-jz-aI#MhZv!2<{{GUfY9wcwzHqOey@zDendsN2$(A1(_O2LZm6%-F_9qPUEZ`UB
zHPx6<=J=`BszMTOZ?U!$KcZ@JKUuNR`c1WdAwh52Ri6UR3DuydoCY=ntWr<2va{(T
z!>oEu$6Q3HI;p%l#kF!{mQ-Zma>(th`0sGN_!el2o%aVHPXqdT<Bh11XW5FYQw_e4
z3V`~x$o1mL)&Xn*a6%E{;);X#p7Bi!UOe?o;Jf;Jwg0lu4+(DPRt)~8Bh<%@p4XLs
zPygaOQ7h>O6)dGF`tJByfpY7@{K+w|!=r1PH5PWf|3qVDYF9lUT2<z8I?<Sw{$&`-
z(h1~`I=(ozV=h1&x!?Cy&7K@}os(8trQ_sDu`0_x<${^HJa0!qgZeke3^bPbJMeQl
zBgoP{z%{g}jNuEH66J>(xl9^l8YDf=+|s$<z&k_cddn325j8mO>x8VI?P3sTrTTXH
zx%0H)AP3H3`yr`LlwBtJ05u;N==c6>)_`{^O&I@!^;4-u|Ek{uIaTpNUa&B+RQ_!L
zOVq63?;q!3Nze$gCei+^$s)%{l=C^5Twc1WNj2FqZ1GYU=iukjrkYCY6#9x8n5_e<
z@Td^EjoF6RVZOFU+wBhE3j@dQ9M2S1NSs><Rjzb2qP&5q*ji!eM8ZBdx0}6GywLYy
zV*5*2VKzJ5aT9m+=?ZCXp5ee_eD|AAg!VT%Gf8J=yj;2o9$jltH|C+@#4J-MdK>zs
z%eo;pW90@F&@BK@v0S|j{|JTmf7aS{NaxT2)n7@Hj>`wKXVBFX9Ri0u{PrRXppHRW
zH_t=EZb#%@Qv4oBZ}hXUWDo!u^V|Sz00=bXZ4qr$Z8J%jZ@)>>ep>dZ(gj-Mrr0m4
z>!t&RRR$gxp^;xmgiUl&P@-1=m7|@DM^{jyNlSj?>b%B~Jbpp6%AiHru2X*cw)?Tq
zyIO#E5qNf%z_hDwT);PxWa3Mz?OnghKQG}y+6i8G>U9fi>oBDKRjZOC5Dxei^90DH
zh(q#Ad&tlTdE|$7sWE^kfy>+Rx6k{{Hkuia#R-*jQlb6p#OI^{bCTqNFzS|+mlWtn
z7~E<U^x4<7>+NazYC(+~Y2Mu972TPpI*v9mU+hqxM+~&p0;>BBWoHOcm*L#SjY%QC
zadnV;q+T1QT{br1j8AZxQy4@w-qROw0RXBM0YE{h>Ny1NcJW&_V=hqM5Xt2X`rYBW
zbK_%H)kgkzq5j=Oz}&%9?Esr3=E@GiZdFtBrZNw8852qVk_JwTlA|UX;S=2>N8AvG
zP5@^)Qlhz+X+vwvoQFnyAJ>>yVR>~G<?Njt2h2CUX25-v0xNO4W^(t!M9SUNQ<1=B
zC2EcKzR2F}{muVw$?^0lsr8+g;gWoUrSt>aaT_XnlZU}+u%_ay59^ixL6H?@s;d1v
zAuQJX$^Iv6*@K5%fgaydF{J^rucgIBdrDI)0aG<y@#m8dG6ya*&9YG5E)<VQ=A1V$
zJE%$zZWVnj^LOa8yToNwHKm|(`11=feS=`FL98zTu54}Bj~<-=-xoJ_ml)x@Rj8AE
zNC<dBr}xqUjs<f!H8@^`a!Z-&&b=MNIl!JDQo2|rgK!EV&B6u7AOO=3PJ=y?o*Is8
zG`9oB#>R%kw~-znCK5_9hI=!jeK1zoSqx&jyA`_yYZAba``<Wu`_7#wbWRw^J&guL
z1@zSZ11AK(b@Li5GUyi`qYf1MC0B)@NawxqyG4(*VtGYHq4jo(q5m`*Xkyx5s+TF&
z*VTbO546w*mz^0iv&?~9^22?Qm-?h^#z29X%PquQpu~q=7+6Vx%oHzj<0_uLKS3|d
zNjyC~fd8*U$(U3crac+<kc>3OUV!+DW;J8y9<LWLj7vLSs>;58ut{g60=e#OD??=C
z17ih?LVXqZ05JGEU^v9kD~uO8c1N+9f{Hp7l!gk5;jJ58{_~fj<rrwS3G0siSY^8b
z#RkP477}S+CAZjvU>l+QdW;IzJ^wr5vsSB>@Lj{i=eLlh3dI4d&pu=lf!g`=?$kys
zfZO`iLkZtsp*@gCZgJ`7+zvrB7M-+{IblyAb7&xVrTO`J;?_ejL})>(Da<2(jpW}?
zQOeN@oOpPQLi=A@;&*bp$<n3MIU$eaOWM}G=l?Q^k?Dan$}$(myRZK;6uu6g5hL-U
zJJJ{qc`Y>74;7|G0e0QYt>RojTAMGttzskL(O2N!#pn^>uKkzbUeo8?T+G{)hN0GD
zNQ!Idh{Pw1VS7M?xVrM=AujA4tv~b!$czSDQ9eV?vVBOCUk37<zz@b+FqVvzvFb;}
zQ4CA}{nen~o0ZQ=;c9f*u<r#1B8Xp{=8p*pTa;Dbx7=tik`qbV*9bmhy5j=AXc)ky
zP+C!;A!k0u2W*4gq=`vM&<eh3yU6C~vn}ZK5p1E7_CK~sYV__o%gF;g)|#edJUshu
zeos}2K-lnNi_-&o`F<YguE5-91yM6tF-9C8hRcV)?*0;w7TwF^?Ac?RSa$uWL%L!6
z4)g?pp?0hsrq5krkTpos_M%Y!NAAcyyoz*~8g1}z2Y~Q6&svU3B?&_xclQ7WjleJo
zAVO?0VvS*r{2MwJO)&*?vP$@-!5wh=u3(l*1VX*iRRd?BQNMhV5jt}iMXv?WfW87K
zhiJy<cTECxv@gE%W(7n;(G?`w#M9M9(Fj<f@H&nqt)_x%7)nI#WLVy;SqY^kV+T=Z
z74z+j)FJLU67vk>pzQ&JiD4)t$fxPiarMWtE0B67x|+Aycg&R#_L;LNPRB(hz2gTs
zRLcv{)ZK1HKEy=@j4|vD9by4W#Y~WI0ZW#8`sSM<S3FKYbE3zDbo$?tO**;$RFO_W
zoa%)`{Lav%!tf-%uzNkm3#6shrj#fw_cB6C3CP8RHu!<Ycg={N42CA7np%*V&&(+U
zsc9%|vzEIkBfowP`E?A<97B#Df*PvzFL4UZlHh^;ij4qNiJ{WPFcX8hMNlbI1v>cJ
z%31^KdcBoX-`SECZ7&MY0;`M1Xh_5rA8MX}S+Lko7i_|m`|0z$v;bAnj6GaqVId)$
z=HWF?c;>qC$_T|ihWcwqSlsAI7H%srQGwcq5)aU#;P@97KoDz8^e;Hc%oi7ip-Cn6
z6uQqkuquYK(9xkl16;sQ;**r@F8rCI;tNmIsBM-2``;CwKxlyBd1J5<EE0LGT)y~d
z$d@jcE&>knWevu~CBs**^e_-hLSBt*uMm?*UWO$9UNn4Jgne;nkpCUNcJWrom;e9x
zv&t2o7{Ws!pmW}WC~ko)n2{&uzc;pKl)rv6O!?v0iS$<!VX}-Bo;bn-2z5k7?Hucv
zD6)M5E&(5aLV$!re&!Y<lI$a|8Vr-^IM~Zhai1qc_|(9P_U#P$4-p+Ikjf_L1$oi2
z(a~~G0Sxw@@>QVjr3KYrL>V3VFXpW&P=!Mz-~tywXzoYq`C%&jK8E@q;FK$*cALIL
z>oNTr)8}-^*SjX*ijD<9T9S+|6AfOooQ@;HxsC`su2NrHk%ORU0KhaSSYTQ=#87W4
zVL8Xv8-gC&-tFs#{$R=HQX<rCj@UI)0KRVkI-EvFY>YgA{=Y6R;{R+zyc-x4>jgDy
z)wAKk2+rJUUlT)JQVj(f@DYJPeCrZ%%`g+bFLYi7VE^TEPZkX3-IV=WbSs4|eHyIq
zuTo=UtcZR7ADU5Mfd3UZ`+sDXgT_uyJJ<#XP0RZG)v>X}7X<yt*S21>6cT}RVq3#T
z5eU<qqP%>FdBWSbZ&S~9vODLt)Wga4DgmyA(6OC?W}OEj%JA+Rsb`m^zT;uU^e2C+
z8xagEPY$TCF%q%V7A_60#WkGF?G72N`*x8+!x|jcIoeWxI{|3NJZJ3OdLJXgn!@X~
z&*UI`1<GQ!xNQ+zL&NEfnP%vg=?HlY=OOZFAQyJN+r(Ni;WCDZs?CMBJ;D~gLoGjC
zydg}C!AE2=eQB`UKFN>+m~nhIA|F%dpe$f<6M%aN!3>eq;UfGRiSH&!NVqSe=C)TH
zA<NjXlgSRkq*UTQUa%|*I(3j9druutR#3TOcs>=OKF<e@yqfj;V}#fV5t~1JyZNi>
zwqF~*3)e~bwO3sXmkjewOiTdu!9L-$KjBIcX`TQ~5i@&;=ov$r@LHwOOzUi01aq*2
zB%F?&`P(GZ_^HR^=)eU~JJngk5cyhkWv19~;&Ox0CBtTj4Th^QC4-h;=Gc1W>}}fI
zp=D^x+1NnS6)1>sgBF^B46o@e=Jo6PAOTO%dj(gdsH*vzCc}UJ5c73v6Cj@kFGdl;
zIqwV5+XM<khaL2Aa+g5iwszq_$F?peFa-owSt;%{%Khhw>2hvxT)AjP4ZBU9?NtOV
zOn-X|>0s3+$aPB&pisu7t!cBz$Hzen!^K8A0@API0s@F#?ux|PwKO*4U|51*G<-`X
z=<sL#Y;8Sop%fG*n^pm+D;X`9$#yEk6;Ge$CDy=j<*Fv*|N2qQfzL1B*4r|@_W+?g
z1ZhDkY*$|LTeN*J4^=uWoJ2+pu9mGgi}2mdo?|u{-PFJl`T6e{pYKVrrdNOBBoN2g
z)a?!;TzlGI`S0Ag6KOpb=ku$Cg%;F&)ljUY4;ry%{x#44T<mn*<;G6W-8=(t7~uQs
zP=ks%%w_#`p#7XUxszpZ1_G;_6b+ld9^t}_Xn`JfB)ZX^tiNq{a50AOFuR)>5L0Up
zzuwSnBD#XhjqwF`p<czg0#7Ks{B;28c+ex4xi!z<a0r5}wQ!DocG78BS;VGzfT~iG
zy>2JUSSzFh6&e<X*ZcYkCZEqjkw)FhqniKe8f89Vy19c9#FC6vKnu{eO#5_o>TDH}
z@Ep>0>;m<^S@55KWD$SS%%MBv4Z7qcs~#ttZ9xlJi8iBOg<pxHw{Tbgr>lpMr5Wc@
zcNPoYc(aYBVJSC{+UH<~!Lt1bTILi}2hz0Fps-G21M;8V2QvXd3*o|R!z;a)zhM0@
zS6v2BNLz2{RRBZfZP=9G`auWEJaOV@pm2(VJ^^j?6S$Wv?$mg7FyvTwYZDgf@tmcY
z0vT9-oA%F_)Gy((uKeZ3G86ndfDA)D<RVsJ)SwU*%W<FMRY}mjI?*l(K^WHDQF;1h
zcAcOlx(&*Ox^nSQG$CHYQLh4|_P}d^4p&I)Ezhyu^vAYUbHwM%9(DS8C{?wvmKSHS
z2o2LzfY{C_|F+rx_$tkReHHfxhUJjgxmv!uX`F-kND-nz=nmICbu!N{&u9R969Clm
z-TIJv0>Q=LB=Q~WY_-icUOvhqq<mm`SL%QB_x_CnNGyW{7J2=@pI$TukNcjVuDp2t
z*WC~8y3QyyTi@fchJzON@X%1*`B_9en9K-SD&U)5ExWSr3SmKK>Sz#rooc;J2L=YA
zKcW%f4D^kOS&Qd)d^bZ3tfm>j<<%c{*-pBnlliB-w(Gr*Apzwe{b^E)kl=wFGL6ju
z#9okNZO^ZmB)=U1i|@8)^R^%x|DluWFfzi+kMn}Z^NNiv_G%*<iWS2LNG1UxGsaj8
zcx>U-7EX2CbAHl;aDpOkU!&m&Wm!;VQWJ1J1d!B7LAa-e2&p3}MF?LCWb(ilg*Y#`
zfQqx_hBHeJQeE_8YOjrNuJzl=l1}{!{93WQvoz-i#ckBbNSrttYVhfG_kpV#cb)Qv
ztsjskeZV(=8>xgYrfr(Zg}$fD{Nr|4@NV9N#ucRaDLzMwm^5A+u=pP#x;G4=?R*!0
z2v|smTyP0uK{D8;a_0JwvoD->>()ak%#nQJQNV2gBtx~_-PLsq7k3KY4%);=YpxB)
zuR(hk#6t}Rw<F;^&fxlL-mpJE-A5P)8PeF{!=)Y#WFw4kP^~-o+$&bRF++0*yuT=p
z(5^}?xM#yJp2$^A7$Mo`TEn@IZ`MxlV;XOW$fafg{J3DT1jSRK@bu-QW?XTvPSy$*
zkw$yU&JqE1h{>};RpC`1>oFflp5TMOgM|`6+z-|7J@(ysEV%=GZMwdvyA;kuoh7k2
zF(86OF}d;XA_oI};@;|5#eBrYu^bzl<O8mG5s?*Jd&=yZ8c$%wfzt@~;kb<hj$|E?
zy@h}{`x=va_%p>gm+<N#+~(nXMNkkKUV-^Ei0qn99klWX{wQCK@Ln+rx&4cWmGbs_
zvf0b*30M~e71{>$<Ml+-svw(wo^y~K9XLNivI`F}hd)2?Xtx~y@=C};!nEW7&SDTy
zv@i9io<W^-hA7DLj{hhhGw*@&z410uw;DFr0)d_nL=H(w&>vrcJ5y^n6eU%)R=cg(
z`mw>p2k1&6M=@}9tuRl3#Y4n2whn83KU$CNk306<;vc^g(gHmUOM~N4M2EIB3`9?k
z*Bj2eY<(P|q4}H?wwcO+!_a$w0xi&;Mn|IW4IrIIG)KySmv~MJL$bXwTO=8Y6FEm7
zGh)YJf^d?cNON@sCD&ar)iw=>hI-gOL(-7y<pL-Mp-TV*WF&t|1yx!32;H$8u32^h
zE53Npm_uwxQ4;FKnaE<zP$1OSb_7w|IRiipG#n;2EUv8Rq6A>8ii7lJsP|rJs@~d1
z{@R&ap~e33*eV@}KLE?zhfE<!E|W(AnoNkI?1bx-C@-(`A{p`7%Lr=GqffZr4->nt
zUw%E$%6@qA1<jP_;Um&>jD))Kin{!~JXplb=wCEAE;Fdv?iQwj$jX4LKjUi;#!B%Q
z4A-#^N|z;fKwn*dzG&TNzvk>Ya(9Vs_B&qzfW@BzOeF%p7o}lv3M#eJeeJCp^;<E(
zY>?UmPM}c#Yl!0+lGerPpF(E|k@b#hShcO)Yy~6`L*dyEx(F7m8$mxfLXrCy((Sum
zx6joYD{@{oq<>tp&z$K62Lw>@nKY)M6Yz9GZtFMS&{#kig-<^q%E)noUn(l%0zEuE
zhg@R(#X$M@4lvdMAbj~SP&^$1QU$xn)}W3pLmI+Ud?rrgdty)P(ZZ|`dWYoiju3N`
z1kJX%abZr*nZmE<0l>^W-wJHMz6M)4cLCgU`safZn~?1GgJYoIwVnB3n~>$(7}e90
zP*{?SMuQvcJbf%F8B(8_cf<~bu;D2O=!q0X+CV%L|L*-e=z;n{Bp{|;>z4I2^qf(^
zlI)9gG7uM;>^dnciQJ|74S)8NO}HrT9+B-4P?ZMdVT6(GEw0$`$jIW*1DH)>_rN|9
z*zb@Sm^AQPfT?VOk{95vp_l=N;!Nd-JHYuj1(z%lC|?M^wV@7R6iA2w#zXiS2*U(8
z*I7F~&W~ZcmUuHWP9Kc4CL=oFHq{Y$SUcD;1_1^!u`_tsJ|H~4X*AI(>~nIUGr1Kj
z@#(z`{Th5Mpx#zgQ1FJovH$kG$M<X-@maAaXJ736gnzB9tPm)PY$Bc#jv6`Mg!7Od
z<mt<YKNR>UBqbw6wgQc{&SK$qAl57CwD9X5t%Kf>EtM-g_S_|HIaEDbbp77Z`B=^N
zKc73rZ%+fE9mhzeN}#34D?HLx39Gx;(<E7Nd7{Vf8WshO;E|`lji-11_)X!lEE!$^
zN5CV#8>K8)>2F>m=f#X}mi1$}_NdDC((BXH%_mbMQ)?wGH8R$92EN|j;p^L9j!&1o
z_NruPBa4U*92^`SVe<|L2j}YLOL3nI3(ui`%gD;oulG7!o2Y?JM4<D7&kb28d<`Q7
zhaRS(ZD4z82_Z=paW8?cVpf*);+22AnU}=HVHp9DlFrwuAZF2ot#@z_L-3oABdFEX
z)z`)<dL}3J%Zp5Gp;7rt{cH^(BXD|~K)0ci6Ww(jL(!<pd09!4z2Ri*$B#g(L0~5e
z`q9|<my%LpWu+!x2zDMUZW{MPD-cghTbqxUx7|4>E$vNM!u;GEV|l#=Di;>mN4B)I
zv{;t2Q+<BpH=G?=4rao8qI|FPdryL&{}31&8k(DzXWS3v$*>68ADhI*)zxzR(XQw!
z-a)dkYsaarrG-U8bTkhyZ>Dz)ujSyK$iMEw4$B7_`b(ECNq&9ad_C3^d49p6p-I-M
zf{4^its5tv)Z@p@^MFg~<jWofwzsXh&Y*`33{rf_$0lG2HPzLG%!>SPAC;;P`1%Y>
z$H0QywQJXcZ-qrfbe`FlU)+&Bj?1_h9Bspdn<**OyLps?4&R4|HTf7oTru$e{rhj;
zyt#bkig9UeUEN5^AFJ`0#r1VlaZY-A`XWQ=*oX)vW#v0~K`k#@2EqSXym&#ISYp(6
zyPW(G2yb<NfB$|JkBow%lSsY)EhcVoaB!f^L&6e;Ap!Wy;F2VHfVh7CCs~-M02+px
z(9eoXNhz4~hIw#$TG}KWu0`UzKXc^(CsJ2e2Q%NYGQDyuEpzjnkPz%+*|hw8R!~(0
z?6&`=q|;nSOl4(dU|^v4@g6T9Uv57Se|1V~s<@aKTcR3lCF<zN`-b)PnDwSf-Me>B
zQdL_!_v<T|>lPI$qt!>hrp<5nPfR3#`0z;bImmQ<`xd-Ev*|Wo#&>a-T9NM6Pfk8_
z^;6}r9&~5QS&M*>PziQ9b4uShpm5kS)6!lzIYkHZS&wFXB^vY_CtmpC+`_vjLT%d;
zOeDFpG4qJc9+j&m2{jHW5s@<lDl+l7q>c_bSO=Aa0!HJfUX2SY_8%rDCZ4sKBpo2Y
zjb+sVYvdmbhPny3V&H$^n{tYZ<rNi5ii%)D8pXjnr%au3?6ziR0zM~hs;UE?aJC^l
zzy(9gkDwP$6A1Z2^LM)kNR5Gq&&S8dz~|6dU0wafi?qbV#NUiNa>WO=6%`e5ANT-U
znHYHBbp}+(M3#EBZa|F&zFrta2;l|WtD~cE@bG)VWC=S#{@rT0=<nn+v;N?to}RhR
zxRKDKA3uJO)qL8dfW-BmTMFuJmoQ#oL5d*x5+0$6J5W-!n5B-5$S+2j$9D43n^yjk
zvgc4%*U*T2v20aPm}Hvj9ed_$<OnD?NX&^tN=uLzcwI0*7z02O0Id%-o(`ztXjYm~
zC^b$ESRY2Ab~|F2bvbW&9Q160L_!gJ_r!!ZXaE2x1D@sK;o;@ijqUA0T@piC9cfY_
zm4`D)QBhF<b%p~`LbuiffSHp6dsyZKatC<pVogd4iW*0BHyp&GVYO=@wN6432hRwW
z9!gP^l5k2}exE~z*Qr2CMoN0)_HA{0fy<tZe~LsW)%GQik<$i5?j!!=ICz;nKC=+q
zzrMzE!+2FSFgDhy`1J){+LCfz|HoimzJI#F){C(*V+eh3D^FBg5lBYI#5hCJMqFHU
z+T7IC^d&zZbYM*>Z_-dwz9boc`rKid-n8JOiRg*x?@c#Y+Xn-K%|?ifO6eVNaGyL0
zt*`gd)+P_ph@cXd2B7`JyLTIbSmYt$J3l{AUQ7{jS4qBI^!EYKsjUe#!|lbyrG8&>
zxDBjl;^!x&pFTbJ^74Ytz~jel!^5OHxvtZVmyRq?{V9nh@{}$-Nu}t<fEIn)f1WZT
zfculdCav=KmxJu!kYHea%MN*8W@>172V~tyNQU6e;m<vNYCqHD4;xSLH1jkHCu`lG
zN&RUyzIE$Xv18{PQ1(T76n|jj;^#N0axezHz@xUIp4?y=de9RZEwhBC3ML-V!-8G+
zpDS&^Z<m6?*0z@)5RQv_?g42M8jS|_VFElInziZaM#cQuuV25y>^(eC<=L~5Ue}V!
zzcl2xe_^=}fVj&)kTxzgZEv?ip8ez74N&sd{r!%gS5qMWmJRj#$(Jg<;ulhql9IrD
zW@*Vh#sSi!MHse1R<okC7G`G3KLJew*uz-Xz4c~3zh}OVS9kMx`1xr>-0a$;7-VH-
zSuzU?Z5<p`3=C3NAM_My-Lp_!Du?u7dpo^hur4Ar)C*c-l7z&>_lIcq<S*eBC;$0V
zq_F;#A2;8Q8QW&ER?uk1{lacYk+!?ze4=fAmEFwci!MPS1Q;*A)%EqB@*iT(O9Niz
zHHP2b`1xJsb2@}9JMZD*>}>O8@l1-Un7BAs7Z?1<-#$j?xA)g3jPkP7*y9Jk$US-T
z6H*jt6<6ilvI;vI7$8g>YAj;-?a(=-b^{mpL0WDuQ;_7=>HbtH>Q?YJy2|)ZF!wMN
zZ0vf~877XoU5}W-kE}3s{QQ|zyfL*4_p#BJ62=0r1c5XzGAarm5ASbDAlGGNWZWLV
z1oWVT9*T;Jz_Z-P6+t7eK2EFX4F?%;puvj};DN_qGQ)#e7&yLMZhHYW&bZqmNL}jc
zQsS}dR=!V8-N${Zs;a82+^E>_?6JLlao-LQ&;ku!dHD+<GuBp*bc9CL@82)P#T$T@
znhp5apa+iMYuj+z%1~mNnRtVVh?4SWx%|)e_UE%3DJdzC9yqj6Qc@1LM2Md~OcWCo
zJUlyIFZG@%gGT_{W2I9pa4?|jgV}Pqq~~0u7D>>9FA6djZEbDM3?W`#)YR0}<fPB)
zXc@c@M5Y)d$^*D;Zg!UYoJ!bfK^Y{1pFM-|+(SmjpwLh!dwWhUuBElL0w@F6*t$DA
z<z-}s>pUw=_LUSASRVpt<|+hx;Kc?X3*nC6W_-BDb^XsD`iQn?RHpb(9UL6o-47uP
zwJfZ2nQnXyx>Dp66jPP<v!y*^Mjv9OXd{nm_IuQUxlu_8w+5D=R-h%GLeXoC8P%?i
zhvg3@;0R2H+&E(;#v$NPm6d-1aPp<GF(|7E2?-VG)x^ffA1?IL(PH7?{NZyRsto=D
ztYWz0C-2*48Eu>@jM~DXz+DF!WsvFwV(-jMe=4){ZsGOM+ggD?zJI5G_z(n2O<%q|
z0VR)}p^vqc?Ck8q!XRHbh%0t5y*b;K$Y=d~`w)df0jmUj56n~Dqk7D$ONkl05DP17
zo$vWsx%HTz#0->mFwO#eAp|K<!2q$5wehOv)!_ZFQv&cX7&0KjyaPSBo&)w=IBnoD
z`j)Id9Yit6za$uuHG~;{@Z9=jUFVvXs%pkZ3PM6jNuZo{ScINVE`JZA_A8VR6sj8f
z?*4%ij~-P;M~EGnRgb~6Bt^{IqqPT$fX<GNCkhHg>;GhDSD5xtS2dNcezI6$SGd-4
zyXdI_CMG6tA_o_jioNgazc@rhzIYR9LA}F?=M6OH!CDZmpe-T!($W$F<qwmg06)La
zhgzf~BbXx8g{7s>%!`2po$2&0#AMpYz(9~Qd)b+HW|G-2BJMcW;nWi$No()un7Bp(
zl}V7*j8+|Df}_pgtX{nXZ+Ym2)V`n=vV_Wm#Gu+?uA`ws9yAYPVq(xesenb*DAWgb
z8(4<q;OBRBaL}%CS%nUFCM{R|Q!lUDfPlx4vO-n?sCZLTG?YT6RwG;>{tH=1v8KH=
z958UVkVCVwumCR?sNF-#00S2IxNv^R_g87sz)UkT{`6(a!=wP0MvRi293HKF9NX^J
z78Wk9#?d9-&rRl#n7FKbOirGdtn(ytO!Zu=%FWH~fk1O|xD6?H$lJG%p!R=|>cy3(
zM0n?pAsA!#4PBr_cFLo_eED*LK|@M(w5q=T<k*<y^XJ7LyG!7?!18^7uBFuCsk7<)
zr<hFnxWR#emv9+qG(;O1Ou;~Yba?pS;K0w%?+2CKzUqa|NO`E}3H*)dIKyjN{B|NT
z*hgLq82_Da3jKGa`Rew6=a~Oo`S0-Z|5HCY?aSpQ$iKTU!-iaitdyc;frR0k{|kYS
BO_Trt
literal 120564
zcmd?RcQl-T^glRKC6OSAnn;jD^iI?iBx<5FdXL_FkVJ?sdM5~?j6McqkO+bx>R>W@
zi84kX-M+`?yL<MpJ^R~pcK=x?Ii8Hi^Dg&&?|t3Z>pls4t@`5nRfek&2;{oLOIdXY
z<l++u<a`V1Iq-?!1=(ou?TYhDJvRvC_9x<Bl9>4oO9<pHL_zkcrgz3FR^R^Xk|F-^
zbnDIvEWTuQbIg%oTJY&NnZ-q+)X$mp0ud<L8oifK)mU7DrmkK*cY%$C<=nG#Eccyb
zOPp!$lgd5G&A;AtiTYNlT#E2qMhlzZV`b)5&qK{J4s`v*RyA*N$KarY*8|6x?%|Vw
zGReNJ1K6pAC+1|>O&w}S0;UIn6sGep6Xy$ow2;fcyG*<=A)}Z&`yt)=3*N*JAng#6
zJH+qr_@DeQ+@hPuGqoL_`^MkjP}a5n@9OI6x9+p&X4piwFfVr{awhW_Hn=Yh_)Q*8
zsG-khA+|!gP8<mmNpeo|?85vVgq(QMLU*_2Jn@3>(*M72u^YMwDeN}k`?uo@wd<~`
z8Y^9C$SWfyZjCJIdP~!HlZvLMwZo>+x5CGpRPFJKMbC07>gwKLcE6PnH_&;6a*Bj9
z))C=%e6Ul_W_-2ri}Anvo|`g3eTz^Zqz%ery;doi=W(>)G6T_E88#QZp9}~Y8XKP~
zZss2tz_e`E5cr;vLQ(4zfBb2kC^mwYH@e~(aRMe(5>KEoZE88JI$?L4hXuNXZL|Fs
zf_3!bql+v)Gbn}pl#9sqOF^E<+j6n$T^?A~!mZ)$?o9Q=HBR_Hqase^z{-wfpTxd8
zad4ARNX+F=BMlf_Ee6L&Cil|=t6r4QW98KRAbK`k)CqiAUSNEuR?<{*Y{}h#HD0$9
zr&FvsFa8*j+_~#IxqNKhl$o8DrmmPdI!l~k3yyT%`-!YtO>ON6o<NAN50zB&b2T$F
zv$5$EQlV6cn;VDQ_3buOJXW)=y6ydx;XbAZ_Q5#Arf;E~W<-Y}Rk>ZL$3Q~V->vsb
zhN9ck{E%2WWV<6>NOyO4y@8|qt1DoTsa2Mi*{7e`I)_VivbVCY3p_0uAVWP-cR5TA
zEI(!T>kIHZGUhdGU}G7!9VQ$<HLXB37G1~U3CBa_w~F;JNc%?9hR1`P+d&2ubX=Ln
zNTFdpz61xl+C*K|<$u~$Xk6RI&NW(|&(miHk~}AQ=fbe9Fj=cnrH<jmh$1<o`9qN!
zex!6W3UxcgG+(_4y<!~8t3&JMnC~??8H>A1yB%RDx|8u!?;p=!J{?|zdZ9s?<k&0S
zzrKy~-E6(tN*Xna^YZj%>}{X#PJVINNZh*KyToy#<Yze#l;FY30ls~Rt;8sLR{q+a
zo-}wm&SG+=84gTsEfGfZP+{gUK+E%>Ex?wIMLl!8q4Dt7{y|%P@7sy&ineN4Mr?|_
zt#^p^n0CUYn=j|~n($so>|1G>frppCNX`osQ~bLh?!Js;`*m=L{4+nkzr^T<tg1E~
zAAjVi@9!sV_~$9qrgwM7h%Q7SPSZnp`-7=3Ev3xt;o6r!kF5O03=CX7CKMfB`Q-kr
zb!g>NX2rzZ)EB_oB4p4H&%%h9=>_jdl#q%X8-F}|_>5SRF873P*>WarQuZXbwj5jX
z0@9{XT(3v?TEGm!SE{>8maWMj;{zk(_wVCHa4OPUEraRnjW`pK_b|>!uk%$IIyMw!
z*ud=H3HH%>khC0EadAe^)}_0PXTndQPUWJcm-OqSqJH;i+EMbWKbJKVy(;+hUT=D(
zu<{gi`$UBU8=i;z83`YNE)6Lw4>n4nB0|;Wi{qy`v;I+?1xJ!Q<nQ>%{7^>Xe_%E9
z)|bns-B){~j-bYbJU*f48Z}j1N}Sk72<yT90Y|-jMOkJ4mBYZ=$AlrmL_m{E|8+qt
z`}^{AUvW<eA8N|)qj34|U*DFbOt{pZIc5gr(oOz}Ge<Y}DC_$-7U7qCQoVk?Uy*UC
zWrh6Vutd=BNdEXv3t0=N0=3a}_8lb+MveI3qMbL~zb=tGNx9k(rpHd|hlVPn%~*xZ
ztIKz1h7fI9VHT0k`ZGk@mf3cGl3g`Qx_B1gRqv48nS~85eKf7pv7s|F_-Ei=ZdLOp
z@nw-tG+Xa}edn8jF8%1)(3iGfqf*D~leKyNDNT+Z`WC5q)(A?ZWUm)$^hItJE#FsM
ziR96pDgG&-&Z=fA<FGSWVD5b$D_qsz77-J3kaOlBa=_LIqjEz2UWAq(a$0EN$9|`3
zo07n8%bMQtPu1)EzS;<j#NF~fPq!GFKzC11Pkw{Hqobq$u)i<I$GMOx)o1En)_(A4
zap!A}3U|@hTr#&W>F?KehqP-y`|M4Bx)%I{G@BNfz9m)eT?gGD6u-LqQ>`XP6eI6e
zQZ=tC79Z3VI2NGsn5%D3&@NG{Jbn0J#L6Qd`WVwGPH$~xCI3i^CprF9*?lf)uzu*(
za(_XpMPa0y*)sd}0p0r?x55OAKNr75o@{Pz{`m3Z4Kw}!F&5_U-);Y9r(G)EwS;k&
z0jlA!aVf;%&yo1<oy5)w&2C2(HYz<Coj0_9jTU+q^m{WU3KMQp=4<A>{w$P^*gF0;
z%Z`cYE{mn4)R%~*yfKp{0AIAM8nG8t_p(<!OS})mATcg97oMVwPRq8i3c`BJi3p{1
z7M5IAiSaUff32pYcC08&s28zXFkGq9>ixr8Aijr-m)9>#w6WFM!YE8Ede$z{^QS<j
zX>yJ-dUHld!0=I`q5=bA9H~YfwV*~c(K|@Y#;`5CDJ`J>F+%4J^&;jP+zhTgdfU^6
z)q$E}*tw88d9rk(iVtC;r!C^QxVBNY68<t}k0n=DkN)|mqHp@BB31a;0-NschwY4)
zI(Uc<Lq~s3vR#Yf0*e6qcB`_Oo7>t8r;}vZfIPg8O7}fu{k5pJrS{dlCG%uvlmXW*
z^2Q(s%$R+xwjCk2)>4e+=JHe3uGR^@4Ok@q-=>KeUlxHQI`CMC{0Fcji3LTWZ|-Bm
zqTdwRtMsk*tgdN<&Y%6=bJEGsL-2<UKt-JBP>e{>V8M#;$D-(Leq#e4a{%4*t=$
zdJwPRF>rNxEF4(<)y#L|GpFu?Gg>n3T{kPyB>FE&{P-E~B!_oUDJ6Ya;&!g1y<EQf
z(u8Q|;+B$<lIXluUTyqWmp2E<ep~tQGK<@NJk(bM2Apmb_kPVvN%=MJ`f$^N_*7>I
zaR+i<dz%qD7nl1y6&+yiwgtFOZG9+9?oIex%lRu?ooH99!?`(&2k~Q>qd0f*<ECw2
z)ZNdctHB|IOWN>%_H7*0S3!0wKNTceswIbXola-}t#oqt<J;D|?MG{7!j&_oNE)ah
zW3{%0O2R{d)ZcdXS|aI&dV2lP4wu!#fRf>5cX1b{^a7mE1Q@AOmnlo~3~J^*1MZ@)
zr{{wiE(|hSPs9iMe8v@enuTZ=;8A)~sXf-oNl5|UkdN~1F|`hd@JI|1!L(dqZ84A3
zOWOJKoE*2h+L*r)ZzFSCBrQp=NVA}@@bS)d;!Qyx!I`p3TL2F8<Hra5p$n6K(tHEY
zAeOiaNpB(yXl$Qf1OI^V6{MJx5ikBf1eq1`hLAhD&=vOZ0U<b7ch#OMacS=kpOyaD
zh?w=Zwk{mAf1n^>zai=5>)W8o5mn1aoFSd@1#c$7NkX|Ha<^^0UUP|$@vD{De(j)J
z7M<i6&XbmwHc>sVjFNb7J2}an4h1_@L&E{MRkaA4QvPtEn{^$vO6zoT_)26Vt<!=d
zvFlC51#t5_m!A(j#Z;r@S&1+Lfz-vm!m|kc+VRpBX^so9v9^9;C-vhhaqmo&DW_aA
z#&NqkgS?0W!d#in=F<ms)Q1Xj+lR+$3B&{rnT>+P%u<KsgkErTc6NI3xB2YT_2>6m
zX2r1MU)DZ9-c-&a9)WkPtl*=^(X1@=GHxd262C%2R~jBdsfZ7eq##`vQ*ATbxH8-6
z>Y<K>lTNJojT!aUI`nPHt1}XBi4;C389g{R_jS=HHA@sJ;`FJvLd_;|lJj?2k4(;l
zq>N18<FkC@d?Dj}jJfB@(f;=M;8WhcWkNGky;`xlL`~F?clCZ!>R76Jk<jwFvjuX2
z1^%|j1c1<P2Or1mX5IMkM3$`e7wy*I;2=PGL&GGHHR=wR=E+xsLqa|FB6evD-#9_Y
zxeOMwM<2p3Nc@T~ut_UOYD3UNGUU~$9UL8Np|Imy`I_|xS=reS+s{Lsuf~?Hiwlso
z@{L-PKvY@JtXhk0E>gC%yl%;n`SP!lCj!xcUCUQWw#VG@hyr0ki&*?*Jch0?iaOd8
zoW|w4OGdlu;HYn^9)S=4u1+{RHPG@H&^g3{dv8QWp95IRUHtYWp(k=$r8#awPL`fS
zbdjN!ztQ9)%{j<BB&Y=-Vr~ssNAAC#4_D7e?`qCa!=QE8C3kr>1_(rq8dQGo1RsX8
zP^#@3E*Z+olIe%NqzgH-(B9MkCWG*#Q`z~BJ*c$<9#r%lZw0U-6WW8b*I>2q@~-@G
z-OO*FEUzD0B#?K0tN?vEFC-}5r@WHx!hn5D%1j>jEk30{kDdDeJYa`Q#?sQ#BfDC^
zL2^u`Dm?U`>}5YSC&6zZio3ZL*hDudLm=xM8Ry9%EqX#SGT8-1w%@SJBVRb6-OkSs
zOnm|7XYhCrHbIqG!}fk_Yim<4(zH!DI1Y$oOR}8b+VAY_RDK}1JOJiQa<&e`dIO&1
z?x+S((66UeT>5`d@j6E`MH^Gg5hINyD7Vf^?01(h056ocLm`p+<>)+ihFY;`jUr8=
z-(5TN_{*TU?qF4jTS1o-4v#GyL|H=~aSSXyS?b}lM_?BFvPH>8z{Y}U_Jd<7If6!G
zCiQx3-JZJEels=yG8i=sB{bUG+k=!FQ+rm0(b<uO&(Hy9^hDy`z`4ebK_ym3#~GIh
z$68g>U-(YS`JcnTc-O)I27%dt!nt~}ldlTCRn@{rGF7cFBoe)#B?zQBa|+<Y7C$8`
zL|LsGwJk54ZOYnZ;))`qzuqQJ%efhN=_QbkLwT3pqnZ>;6H}ERxK+uWJ>z^Zcm^Lo
zziD<hR>Ra4?d-?3lqJie{y)|RK7N<@+o{S0njA}sON_RBpDmhE4>zt0zvdiFRBUs}
zpwvDqZD*t1z~XPw(&n)*m;G9X4v%!H%X5jx4M9^=Q&Lj0vzdw32BCZcJnv43sX?Q6
zW&fKYDJMQUSr)~jFndp1TU#@;XODJ*oQN}nh%tdh*tinE)a`C}RNAD4d}kmg4v5$t
z5MpKW6C5ykWoNki4m;WBvy1=tsRv?KkOzkafk4}f_)nst644s$)CC0vME|!T&hDKA
z<y7A{_V6;}=C#9sMr|#YkZ(`6O)LwH%6WNtX(QUyXwNpxo95h+-dA{2z_BmEPqb>>
zAffbO$W0oBaa}tRckkybpv3pd5?vNJ+l+FP>qmM+Z-m}X_J#SVR_XC4vQt*Jr3|l?
zc6~%65Vf`PhOETFiQ&h(e`3O@Q9D!B&_hQ@Pd}Ot>nIvMOR0Gl;l(bHoN!(J&_c11
z;Nz8iGqJyYJ&mgT8u53X*};So3W^52Vwxt+ILy6!u4og_A!HA@pLMJQrYKH#`#tJC
zTdSRFEj#fCEhvhqzFf1)Z*rnq?q2985B)PoYjF*0owWarMFz$y*5v37u21{uW#Mf+
za9y~fx9@jvFNeoJCcm>Mbj~vERsV9yn4h1A3t^!pBAWkf248ofJD=n)bh)27{Qo4&
zb&d;rg5ZSA4CE{6kJ&d*;+y`aRN_)oQ#(5qLMDmZG*xr2B^yMEwVY3P0I$VI7aHn-
z$y$tR_;0q~!7?%(F!o|+u(^;qee`T^|8E_d(cqJ(R2QByb%dDKmD$lXJ|%_*2s!Dw
zqw~+~49n48US7n|!Je;}KX7!^Xt|+9+=6$NFKQUiw>nSQ!av-lpv2Thw3+3r^Q*X>
zei$AeRxP9|*RJlWlDiKj*R0}{$W&bfYb#rc-X?Ms5C|ax5;z`gTG!C9{NF*!ZPO9Z
zO$A&5CnsmUfvRjR0wIwZT@RIb_*iE$O(ffPEa~aW@`6XJ_gw6Y1ogbP|6!(Muq(DU
zX+}s-*y%t|h6pV@St}{@f_PE62$Z8KtALi*$Q};WDKk*eM_sYRhZ_IUR$#hs7W#Wd
zIrps$8DV$#!NZ3yj)jPGdY8uv9tMYUleK=RP5K$1{Nj%xKkd(Ij|vZmt$jyy6_;J1
zLx=*0n$B09^<6gTNEUa9dT}Xk2X1R^_TfLK&^!tfSS+00;|&vMtw$om&5U*Y7p<hq
znF<-GsRk)&MvHHeA0(C1&NcQj<O-OD{yORPJR6(8jo-X5d1Rd6uTQr4g;zu6qT@rZ
z5L@x8zoidZ6xpbj+LGp2uCQU_U&_ipqBJErE1M%F&K)h~!;_vjJqsJT9mdT~70VE^
zr8{7nd^2?|Y>f=caWl3lTJEFaKjLXH`Aa$Vino=It2<n_Fc<$X{5ni-RhN^yY=tAA
zrN6T~`Ei&oG&rt+MfeIVF*PhKjEa|;I5+1E()B{9boMJb(fMAQ)v%GuH!wH|S*8}%
zdU;bG_iqq7rZqCz>vIm?D_#qJmh)O{WBly&b%d#`s=`4o9og6R@aPyQX5S6)%l*n*
znF^O`rJ_W83<}*2-IfSyVpA;2ve^@N1=Wdbz1w2%ZErW22NJvHi8Q5S2$}XVD$;ai
zTKt%G79!VM?*cPrEpl^l*}p+mYQq##Xf$kuKabKnD9;VlF{c-7Z6*T19!({uhEZ(m
zZwpQZ9;jaAK6S&h2|roq(n>h?hBZvqxdqg!7ya((sa!hCB^e?Y_68koZ2>LVqufq7
z?(L4snpL)}?ooGhgVlZ$%t~P~)6<sDc2W|09pGrWusPqIs=UzR7h>v-8y7xZw$e^_
z>#BwiDDJR1mTG&!RR`T&TsFRDoq6PX8pTw{6Y1>cxBISiAx(HYm?65yLZJ2Hx<@P=
zjx9~0=U0ava$I49Yg;8HCEZZMvsBgBFBxOG?EJKmiV2~iw_asjsYH+1dc*<}vir94
z-q{H-(Ij0rZ*|GQ(0=302N_DL4^xS|8~z~~vz7Y$$B$>y*)prrE=&lFgZ@yd#ahZE
zr--zX-UTRJjfd)tXrI!&*AjyOc*M1y>B3Wr3yP1>9!@fwQqi-H2u5ON8ngEt9mW&n
z*a~6ilj|4T#{YxU&c0wlS?V0|oqzdFrK4wIFql<!(GI8euSM5-0C?CGWPhqJmkrL#
z$ttTUT6mwCZfg5(i_E)R_6FY_+td8?q;DTaqrd5{l!fc7-zK{RU@Obb+jNt1X8q8g
zReSAcelZxFu?raobV##%^%vO1jmTt1>l*!d6T*RK51;JUl3CfBM_#>oP9?gsy8pRg
zVbn$t@AtizgEb%r+X_>rQWB!e9p(P!*3O7|8j7m<D(x?obW9({t%f_nek-e}WSR`0
z4aFQuxp(>Fh_9VpN&g#wU;>))FI}~EHqCl$(LVbQ46vX5?Q2mEZ~^dZ?%E}2t-xpc
zWdc;dY&J{302Ij1ZtkFTKYLUxSSRU#5XyIF*@W*U+H=cvSr}O>@T}t>-2m^;MYcto
zynCjGKVC1rSB=D%Ba?3(DT>sV3dM(^i*tWMQ(aWt0s;a6Iv659%TjezBqvWR>gylV
zk!8RSa(mkp{^0Ch{lt|tJoKQqr;hwk#c*@E_b#&{kLv0(Z5W~^dZ<3!l&)Il<kFy!
zR39hx)sXMSM6C!S7Dc)~>%d1xb}1+`^Y+%lL|j*TZjBAYMc%c&GLeFVn`r|HUrSia
zskq^CGwye7M4YTWte_b?JMvZPofZOIzGrolMl?jGY<G7TkX1kU$XY8fIMtmX)dUa^
zI$X$FLuEVSpk@hgZQL)#!g{^hqVrk9)Yc8qG?e<07c=z?F<1|#{{)r{*9&`<HE=i_
ziDWF-sy1T~S80$!WVZ)>NiWD+w5%R;O!JfoihRS#uikG)=b7MnU;83&d}m6*<HlF=
z$~uvJWO?jW4t_P{7l~`DyL?MBCfgGU&~Ay2SD%fOoOSoiXmBZ~m60-*p6t^3d`+HY
z!K+!kHcD+p|AZ7Sizj_Z?zE^HTg7>~$%eh8mSgn=We3Rpc0Wju_UNNgyb;M%O0ow0
zvR|FL=URS+Z;J=Lx1@=X!_=Pd!wlxAH`(ZqEqz#NI5fu}-lU|gNB##&i}}vUSPcl_
zc6@8UWi-*$yLDB;moWn#KX0{Cgw5)LYOVsMEMr%2%@SSJW54iayX;V0L}kz=BR=5f
z+4$r^5E-iwH>`sLd%mNvO{xZc-e)YwODWFr*DN;+ZC<q56_@wD(&0$_-L;xTR@1QM
zD8cbZv1@*l)9WmEXDBM?FblT2jcfEHL>J(~<pP+CMM^T8%9R=&|H4Ay0)qVfl{Gc)
zxN&&2V!4u&Vn#-ltex>d!_~t$3udFV)KvPOR^m(`MuO*#QYyK+g?gUkhm9083fN2M
zz)CIbF4`FqdODvKsRN3@)wSw1d+4v=YqX9jRtOB%pd|d)`WArV9~Ltuyn3tlM2Js%
zHyAx9VwIpi@9Lvp>-p1|0>4}KvQUL4H9lDRfjP$W0bq9pT6wywcns?P;5^gktMG?G
z-=D}<joDY~4ndjM1<szL5dx73u(GmBOHPB8q!-;$4x0@tk}F?1DWjynJ$dz6>xRC5
z&qUYnwY9Z@0Z?`Q$2WrW-eaX9I|H}X|H^F!`%N9umY;vW{Y=7`5@M~6%AR&UNHZn-
z;p_q9fWA#U;OIQGQK%QR`hJUZz{U=yhn|iS5+=*j<qH3`uwVt#RziC!nOVaNWzQ+3
z+rdLLgYJ6&%lRaxe1kYiRqk^~x|@=CkRhVv^D_Ggz9`i^wbGqFg|g2`;i3r|b9rP|
ziYU66vDT2C8dQZa?RYr$TAar=Z1D0XizUwfR}1-v%*@Q-;NX6#Gdg0*NKD?*fIdX6
zNR!8?QA|q8@XZT1&!#C~F9Qt<PF|pTp^VCn$~)|a>2Yg?1bqT!YO->Jwu2Bu>8Jl(
zHUc8E8zM0<Km0xZQPp@Px;W_j7xYS4Qf?K#sr_c+pmtipalq*gjE1-ZXHDRk$$({~
z`xKd}-$iE>&lZ-SAU;<$9p<hO*QhFYR+6kykp!$>_lhAW4_nAlEls4y)T#_B&;5C{
zSv0`%<G~rQakizL>M+WAU7>B2Cf<nTq`}6$l-=BaE0R9UVi<;R;-bXH%RZX-@hZzb
zW92e#f|0?=w#PV@)Rq0fc;zU`iL}Ke0BX^h$=cO*0Gc|c7QnWI%Py0vP0S7jRddL9
z!hfe;orzU+m#kIHYwa&wtgLLUCQ7VOMXBhu`-@y%_uc9Iwl+D+N7Prr34AqoFz%>_
z(W@kjeUg9u%6Wxqa$dlhMjfaTR}cBb0>U?tjh~ZC)lB<<MBt%+=w9DgQBl!c<qyQV
zs#3$)f|m|3ar+u=E5-dIK#e<dOA&u_%AKWJ>aJv;A2<yk?*1bHVrsNDvwME+*PLR}
z{{DVZQIU4Zd~&x<nmDnz+T1_-)^%1;G|FGtyBxmKP_{C0$k5>esKi$VX9aJIi|OFm
z(f_|x!tKq7yBA3U^C(AO1B8(Qx@X>1u}F>f;*>0rW`VrZP$6RZl3`n>jzfD<C0+>R
zzg~bSz-aaKBzDhJ-numP@xOZqmF!TJpoA4NQuavTeK1xUs(YL@jFVkiX~OsQ^~E&E
zLmqxS%eEOtFl~@68%=aGw>WLu{px+j8Mcje_5JO=M6>&7uLi3nkxqTB2qOkYXJ5dw
z(`sN14H~$CzVy?mwz*=@tQeFRFSHonQT^8epjyPHa4G1it%L$kpqG<o2F2j=j_*Tb
zx_2O@60KaQNi7Fm8FIOSyj$r2+rgz{NW9<u&kDPMh{|6hy?QROfW?gNNQ*q<%8>?f
zUsNA;S8;U<T=Mt$Lx-dcv7#1_e*W%qFX>6q*&`FwK_wS9GKPamAY~hIJ)-Q>?A}wW
z|1%)^_wV0~h8>QgTXtxik<R@v#hb{%UgKt4FNv}h)mN|n+YPs~O&;v7Dg}yknw{Or
z7s3qGtNB>%xljG-{?=lu40*=wvzCS_O*ccr^e1LVk@PlgPO?^0CBVqsiU7vaxjZ#@
z*8cErP?adk=&jwzaQTfm!_xn2jS=QlQ=%dwCo{Y!Gw1*udg5q76j@f1;CqOf48XtI
z|3TZd?j}QU1B_zUqSWRu)@FiVGkVEg^{Xz}EeIrfY&7HiY3HkeO+w%)!T4~8`E;*i
zlF&r3fjxZqFgZE7+z53rO&+*coqfFO)+Z$@C3So-d{)`DteD!%PbuXO^d0@~d;9M>
z^8vE?5J_l0Jtj2mrB5C$I32Y+y@AOb^v7tI4C4b&4?%I}Gs`%+H=x9OJOKWL4V{(j
zEiMe{lzRje-X9NoG(wnVPLH<0BVtbe#l*4s5Rj9{63tr@tw~#peSy2x+5WAJ6YJ!s
z>*U7A%R1TKGht|i0a%Gih7BwTXt_UydWeLZD<m{h?Oh-a@R~9wvohhoi0vO33^QO`
zvrm??PYMGM3j5wJ2>xfNCpKwdj=rcYw$6$+p&sD7V`F;xLvQTP_tsUWK06)v-%6j{
z_MfaOMKtZeyxgUZw+C4^^LhPks6B{AD>P*40ILHYKN%jsi25725Z-591+H!32Vk|h
z7rqeI4M=ng*n~;iSdfs=9{7L0Aacmg5$8qPMU1klsGXf1r|ruwJd?({iVl9GZ)E$o
z7+18L7fZ{tWdZ}fUOZ<#ex7cMF)Ab!fLSb7`0?XMEPj4|mjh<D`ebA>{A4s?+Q!-E
zVqSpO2uC!*pVEb?P?u|*_w*wXHbsA##CwTn{`B-+>|McFbr;rRrM#NFck(@vQgmdJ
zeT=5DEqc3<OMA!4eqLy2Wq|d?qPbUktxw0%O}j+nK72jxKLB-dazfh*!{B>;;h`2;
z<A48Vq@|^$rwc}2cGe?;Sk)(mgFgJj)5>y_s1YpRht48euUadN!#PPl4sw%s%#LyN
zA=6mHrxc-~mU>==1b)}q_9*QV%a5nxdZXPc+j15ZN6k^H_1b=Z6c>mz^BLzxr_?Hw
zGl;yEd*gl?CyN?&<{K4=qhR~vUA}o&J)^9bfuBrg*FPYowtfp{@Bg;mJ#{lTpG5?$
zAdIpZVjP{E%7<<1mzoU>nymB@6JOcq(-Xt6cKT|CTa$nY$XBOVaDc9SH~Cyp<ba8u
ztx$Lbz@c}&aI(fq5E6ci@}&K|{67-1^%%*`(9qKI^2<-1JET2<$th#IlX;o<!oWQ1
z{PzwdCii<+^cE<GS3EYd4UM3aukg=nX<)z00t1i7e2-71_aV%3{Qyr_j}7sj)*&2_
z0J(6`1pEZyDe_u}%N^k%(Mv(>#&t+E0~z?odrmEqjL6G;EzL_RPOgTcq#t+#HX@t?
z4>3;o14Q7VDCK@<_EBfQrsw2<5U8wbX)Li5SQNeWlz0He1%<ej0v|K2{iZ;G|LP8#
zRRlXN4+<zR#}48x5V?h*?gsIylc-#n=jd{QO+xNKbvX*lC+?1gvLMuGV*xclsdahk
zspMtp?7rsN+jxrDn82f11fqF+K<RXo_mqVNA3#99&=~Vqij%d&jeaVVsOotsJ0m7t
z8CNq>Qc~hV2z+&GMaFeaVsWvIx35&D#(QUTQz>;j&{I4Uhr^*=v)RKzfl)lXytd|u
zz(|#C4hT6QFd%_IVYN_hRUUA3>n@``KsaKK7i#wHS@U%4$w!Z`)m$q<--&nk^-ZJn
zHu-p`h0>dHKS*XTsLy}R4FoIe)9qKM+hB_jDuV|4`hI<W6Y*@F5)&KIqRsm~c|7Z(
zA+yUauK#qn6}Z)0<67~+kxc1sxn;I>wd2m?=sTME0*?<xn_rip{H?4O?%cnx0P1v~
z6?>Uey-vydEYY)ETwDNMveFj7%RqyTt*}DeG3p>u9faEI>S|?T5hnHr6y{7FF$gH{
zgzj)i5qEc}xkCJl>slO%3yX^{4DUJ@M5(+xUGr)_tVN(4_BKrTC}J10{2T)-3Ban^
zM_uJdT_<hC0CrLt<G(5zxFssH{+|5p94m8bT3UlA4$9O4+S?9>3Z*?};LMDzd<N+2
z&}e2Wf#|>&PIQlh?#@zY#{V^M9$X4NwYM}StjXHztMMZdv`e5fYgDs@O`*)7{$|a|
zm_VLu&OG&z(6Mr%@xR(FyZ*t5h=}<3_!pe^pi0&*DVn;L4;qrN8j8L_%?>+V!^^Ms
zo0_Yto`rz4TbHhGYiXH3Y&*ZQ1IUC!|3RT^ZO`)6>$AVpKswCq&%I^p*zrBCNHYD}
zj4eMsD3>|en+@Ex4%{V%PzMLxkKk)~Uo=vB?>l+)VP7VQzdch$>B!@2TWDogtkWxv
zSt|!Ufmh6rH}3STGf|?Owy+=X^<Cc;?+cmE!4Ek)I$nYW@>oc4x`~o`*aaNA+aQM1
z>ngW`qoT5buDn}<Hb&jbR4vpl(d$2LsH;hHarAdmzGWd&Y&3ZTgF790BLvv*fKkkh
zaQJMUb_qCp(`rH>=_@M(4JAH<5ya<cWkBF>IBNmDO|j@MDS$43<bkV5y`!X0hn()s
z#;mm7s1f@q*e3}>P+z0!PGr~6kY@GRs%RB2wo%fs*b>_`;!9!Wm7d7wS{*+I*fO;t
zkM$T=*!50Hk5TdiHU;1ZT%3<ZkyhWfcgw;I>>4y-YsdO1X(>@rLaVk$$?(rWPn!U9
z85H?r&l&;b$v}^_msemK<Wzi#a7c7Ersnk@TjDA}e``07Io8eV*VWVOw5rbIp@2aC
zMvVA6IKZ%u%_+-6Jzs0NUF`RRUU+#zVI!cRi{`64H&qv@@~-2v`Z6$wDDD*Sy&|63
z{`st1nw16yP^kEH>U7!4uAFZ`Z2~!d4YxlwEqpn^u^dem`vKkP&+)y<HAfGdF7+eC
z6T0GvuuD_;Za0Zdcezw1wcg4X&Ju9UggjFePL8%Fw~w1-{uSD=u!NWfY%v<U{8dgX
zNai(O2$TTXbZlfq8;L!so!`Edd=oz+ftRP2YKEJ7NVJcS1C>%YoHX((Nx)G`L48%#
z0G^-^Te?ds3!3)KDpR`WRhv@Oi)s)AP56Fau>D~))5Mk=&ggrW{wErdi~#)TWqc}L
zH;2gvaKS3@ky`rOyXkF}tTL46j#f<l{0{dQo0rHzrDomCuM+QwNE|!>pFBRRqJ@ac
zbc+-j`dbsbyx05>T*t5cTCBcNr!f-D0*Q6Zac+6E0a1mJ1Q-BHV~~%r{xv)G)!^PT
zKZmV>XO@C1y9seZ!n+Ogu!9VXETGTItV)efTlv}et~dN+6PBAJT`3K@28)00h@5Qm
zT{SO+gNO)S2{?V{Lv<X`;UNgqjsRf1rAYWl>rTRhL1g>m8ub&+`L>?)c-SqHJ9ISX
zB-hY@SJfW$0__zgjD2ZVW(*3{7%1nwl$5B1K2I|F;ZNlUtSp&NO^p(MWim3kAIMQ|
zNa9KF1DR&D`ts9uH~e2iUe(`C_*A{Eim+p`DzWHzHienJwekWoM61FKxE7P{3<C5;
ziyf_8e?*b$jeWsKJCZ&=H|M1;JmqTy<^8%6vzXCQ#E)YEm93e!h#srze(x7R#;&O~
z;LPrO_3G86L;$iZy?fr*1JNKVrBOC9LDSajX|65s>b8T%v1`2~og`ds#W17U@vlgw
zvEA4=ZW}`3+D7fU=+zOC_)q0w8VF-hOsUGov7wB3!&&kZRvO0acX#x^PuPnf5QtA5
ze?mjmIg-13`udn1US4X!67@gDBG>x2A2l26>bx!2H84@UWY3(6b-i$R6?)dbyvC+S
z<E(*35K~(b2vj_P7@Cv)Y-V#(2OLEPH3a^a1UBHUGjjzcB>X;NW+u40)fH3QzuQqI
zsE3$x<a<8^3U+)Bd}3mv483A=(B&Pn(y+C)^(nJ-RjfBJ<bZrq#>C5vvU-x)$ZcxT
z(cXS&WrtQH(|2stB{6htg#p)Vj+y|bd+^}F+G!YMJ$YM?U$Pp8!L_@TCTvPNf#y-R
z!wD=;e5XO3^K|?5Y8p9MkB-Q&&cvWbd^`x&FOV?xWw6_#jz=;;UPT=gqYglr0VI1R
z<YdQ$PF^}&CuF+8h=OeGpGQU{gHcNp90F-P0lj#JhB!|ouPqIYlEMR48{3@*?Pl6C
z7&i~k9kISjT`rFNj0L0DMQpnz9~u+~l~KFja&AP<0K&tly!p%TiG4Sh-T7udxF>;u
z*WRfsiV=XMU#6YREp{*7$xs0ResJJREjKf%SS=L`#Q_@-4e&8)CR&Xr*$-$uX+2f|
zh2^n>7KN=wV0(jmfffZeMs?0PpdS~iL8Q<>`R#12;a6-yBHrkj+`~B?e;To&yVNQV
zgRl6G8BAAp1Vq*Y`aL5Oi^V!34!JS7Oo`L3X!k)u)xzT+JsxADpk2w!>54_#!tdXa
z6Jz_kJ9a_AZG2uUnO=hH)#;4#bkq;R_urnhBp*g6t<}3J?AC7F%m2{%h^B*gs8|C&
z4%&NGwkul3p1uoQ2aUx*`Kmb$R&RO?CmtY`s50YGo1=0R>a-Xx4OodcoI+&guCAMJ
zy0Lif>^|l_iA&}2)8YWG?IKPERpP{=Wq%5B4_4jrTkW`Y>y~P3Kd7lB*K0=LP@Eh$
zYCch7H=g{OoVnF*a3*YXZSDPwR-ibBnC|UOOhkxkR~O{pelar|`s2m*M9w+#BP2gr
z>s?Y7(XHa`lPVKe4vmspBHngBUE^$dsIVz>(s8<1(tJ=-9(cS0hdP*=PJ_Pq)-te&
z=3`8=2h*ZX;EqmAo+=X-a9-o5KmN{*DEkn!;~&L)qEZ|T$Nuyzyh`r2>^=A01;AC%
zoxIf;(A+$k(qpx_u;49t5gh&LL(uY|#*=+V$WAJS-DenQRPHre_@7v802^7^VWVTu
z|63|5EDXvPpDFda=`xQZzx8be2fgu{T=oHIb=-}*S1-udB_t$>SRl)9t^PPkESeyb
zm72N_0MM*2>V!&WgX)#^{+$1C=pjXjX*t?0)1<%vnb$2aTi=Oel;~T-B?3>E2ZlUT
zPuWS&<tNOF?HXElf;JR%-#Rs7NZPxnzP418o*;eQ5jYi4>;Dtx2}UlDBj=azT<&=T
zBa`#Jyf#TmEAz>8uUh7?x=)IbVUs3vx+Qbk9}}=0eGO2_eiK`FDEI#^N_#a6&qxE(
znX=O_^L)$#fFXxyNJn=q?yYoo_xwvd#98sHO#_HZO+Y3;*a0myt7~f$(gz<dck($g
zA{?XxCGO|CA3%4vwG_u{kIxg77|QYymyXZ-^|a{NxDtH*ATOMMQtrKaJ40oBdVt>A
zKU$PI-6vL}ESmrfPDR@RRO@xLpMARDe0tbC=@eB*-m39jne}l6T1cHT^Uh`~U}Yrv
zcD-s~!I;*ha6tqLB_$(cT%;+l&lrt$7Bs0w)4=A-T%1b4cf4Ecln(Y!)#iSqt=C_9
zsg#U{>Xb~}8ElPSnSWQk8cK3PL~(L+#4`NT((x0SgFG1ymdWEaubADNVz*ia5qW!4
z2+7u8x73JD4eKT=JH7y)Xax>-rH(y9S0t#qBXzFnS56E;SBN+W9Xe~Fr=9bf4~qNk
zIGpV>Ov%TgB8btCVJJ4>VV>pe?dy{nSwYoR=jXC#6n{;+&r%@sOVexBv13P|@zn*U
z2-Zt`PW~(UEStSvO<Q-+pgazHi87KISDMlVT1CDl(m0f=TL7Q&0R1mP&SI|c`+3N_
zR#`RBi~!=3^P|o6iecv6*D+C1QN_)vsa4obPW-sO-ryr$c+_n;48&xyyh9Q}8JSb>
zasm!IO!nc6y29T`wy@z9E6)-u>V=5lSt)(=R%2o!jk*7^{*Ga}nv#mrfM$MYUWkAL
zNP3fvK5pJnXV8=w%|{~kf%Rl|$rHKhDl4N*aba_llu!OY+5w8g*-4!2*9#AN-)|K~
zQXzZj=cWAd<*cA5FA;@8neGPU7d=WmFvwR2DpX*U{)Zi3sYwDX(#Ox2SwJvEzsi$P
zYqe`-Wo=D<<Q`cBdSs@5T-<7p`i2gu92|EF9D3b0@Drq&XiKH~yQB<J^39<ABfa49
z<H!4fZJ^bR+0nwz`Y#{ZtXP02qV{w-#1zCGZ4R2<n)A_9p-T-0JUS)Apl<Ukwepz`
zrj`9@e2G<5LIMK}9OU(u(B7Q1se<0saPT|`p151sSO_{Ry*q9LQt}(tvAnz-e+iRX
z<v^=4C^8`1f%-Zz8k-jS%T7|uuTCG9DB;~9AmMb$k5Xb>`ZFM9Sz{yz-UwaIRHX}1
zEV38T=SYm6H_?H4z@gZ&F&}<^%fh)A61Q9VfEwC8?|R0-0Nx>NHY8pnY?cms`l8%g
zba`n+o2dgNVuJA{=Mg6UvqJiS=s-lmOJ<W*#&uLU`)KZ=+#I))PdBAfD?k4kXwe5X
zqhH_9d2X2X{jG#hF*$1&m)P@jpr{M38DV5(ggZ-!;>Y*($1oKMf~I<Uc>!)OY}I*^
zrTPxvBNXGl-g5L?_>M<&KA#)@M8ceB1tc!Sr)mL1^zAI=UEfBE8|HNK`RYDWBiZDG
zhu5I{g4Jp{U$`-mKb%C;Q&GMRO^$T(00WcDkY1w-%C|h;H1X4APn+MohAx*fDp65Z
zKB|a#3L!3NQ3`(+5r{NhCjRXrK*(!NQ-j$j+r}sJ#^JwskACp})p;*=qrirTn;Ved
zKyYXG?OQ+A>D%%}P4xDvQp*+CfC)a!SwA0h1@Ku9fnFe|W?|WLyxr7SaUEeXyo?#_
zSwi2O;_faMbIaVDatL#0VR2oR7zdpswY4I2WV@m$+E_(5p7frw($b3eYjxLJE1<BZ
zFIt3|{GTXzy1%{eMn>|S>twx8>-cEstgf<MMcr3pDJ^Li!IRa$*Yp|leKR5CM-|a@
zQ-K?_fg9$`hoi(0hiIJVW<L1yDPV0ez;Sc}=h?gqFZZ9J%HG>9l!3tmmWv8^k$kR6
zmN;IYb^lY4*MOFEWbNc(odw!BfXxu?BoMlK)9oJW8#fxXdlP);4o~drhxu6Lus^x=
zy~@R-8x-17B_@~>**f8NXc467@5tCpFIeO~mayzKoR(dWkV4!i=71Fbpvn<@5#yHw
zCcd6BDEzf+auPapH4M-dXICimcJPe|s)-T#=D_v(4anMbD9J=sDUpgGmV-Mh=*iO)
zA~lMq1x)~O%%Zt*)7yQglLe>fLS?3syQF1CsI=`9;dJ^0j_c?fvp<)~PMWO>y=U8B
zadUIym^tGLmVmq*_meNuUZfij1<*HS1S*^0v(952k|WEeGKhBN?Avm!H*ny+zFaA>
zQ%uI}IrD`+S#rz!6*XpT>`LpO-qeYV>Qh(k-rv?e6WSCPzOSwEVA!JI(*;*H?%6Hn
zy*=@RE#$KeeNu-1DJYUdsa_L(cNx=<2sPHz+iw?b+W1Z$u&$APFm&4qf~h_3Za(T}
z-v9Mtt+MU5{J({sbOpRIClx%nE9n=^|3z0Y%C)JY0VXPv1-i)#Yyh_;$`Exdb0a}L
zU)?4kAS)iwI^L+UT0@tGaZ_B&1e@agr^hSSHa3q)Kj0R6zA+=^^z{@A#h359$iT#^
z0lw`x>_&~*kNm*R<a#Z>Yrg3;UWOfY*<}I>9OH@qx1Jy`dFnyx`%pV`x_-Dw-f1>U
zA||e+nCkKg%Bj3q$IruSC+ll<Yy}6)`Kk+lzPx)*mYa7scAoDJy|uvtAL)(DmTHT2
zOf4jj&-354eiy`NPj&g{N4cZQ)L=F?_kksp-Q)@mkDX-Z)l6GkRxLzUe?AE~DfY#W
zzz%(3cqAd9`H}}y*R?gJPzS0nd$BijY*PBmRoJN;@J)vS2ZPy7yW@69PaL2ls<^y7
zJYc$&=Q!hU!-Z4;yOR4w_{FD=j7`7pN)r*-WAJ)_CWlR${I<@yiK`uHH|D#-Gnh>|
z6Sr=0>D~>Wp`@35MtV=^#ok+K2p?xHb<Rh6334ZDTna_DFOQ2FHL{`MBgs>>1ZAtq
zg6$NFMbuk6JG;9SDQ&Uo1vYxOIQc!2$@wH(olWRMX2t5N@Uz`fDEiilVDaoL^n(_p
ztyNscTzl;E-S@v7KKN)Kqht5R{k-2_NX#Fh-#`4zP58Vw+Gvg6ZnO#Fuin12=9%}|
zpjh8mkd1aQ7#$L#x`;b{=*Mw86IA<79`QK7*3^-=`+ffYtDrU^UreEVMw(MEPw~-&
zFGb<u(AVjx2)^a!+APtY@V3LfASi(+d<M`DK)q^YKyY<qnHC9$)~H(u2~i0J1X=gH
z^J|w-WBzvT73}%J&rIF#dFdtP_5UNmU+=7H<jS6m>r3CP^OaAy8hj*>v>wOB7Jt8$
zJtB8`Lp_AXBU2~g*M!v1sw7{j*q3v!4e6eB0M=GuQ8(%0xLv9JkW_c&rF=~-t#Wh<
z`fvB=<Mb8Xb{i)qA+E||8*pkp@guAsDW1KF1nh*$U`UsL8!CKikv{r$dYV=@zfI8S
z-~N97D9GsIR=wNdryCtEA1S<IPrVb=G4AiALU&HT@yMyU)@P)bgf9B%C9%f-dYVu0
zVk!h#(SQf<%+6QZ>KbYJw5g&|Gh99ogz5Od!B;K?g~@*4rOj7{Mz!xE+?nv}6z2bo
z#tMsV+h)5D=ag%{Z+f$Lf52S`znDfRuBs*3|10N2P4-`k(6LOW<9L|D$=;m`5^)x>
z=<`cl7@w*&z3v63j(Z<v&+Yg3AAWix^ttGPafzlGT?=t(pFp=cc;Rn5Y7g`XePh0J
zf9kpq$b*IIPu4<B^hRbk{+xqTr*B1LSsfnTfEV#jrSGJk)(5GJ3kbw@T6l^b3edkV
z;4RS}Tyodf#|&w_zJB9IQujPT?5Tre<y!#=h2p-ti=UZ=-h<Yyx6hxq%9dNw73Af$
zE-#H`DXzDDSR#KNZB7=%OGDo+sX*OmRG!OTQyIG#WZK=usYM8mYvGJid9EiCO}|Q!
zmSiK3W)!g(!#8e;OGtR(Ck#bp5e|MEGi`o^HGdo&Exnc6_uKyS8<BcUl;ZFcbN0t4
z#?}f~)D$0EC$s(YFkZVO8hJpqM|$rgMVcH}cP$*=HoE~>XMIAzwsme;n^}0Sg@%H0
z#ILJ|$yapKU<HxDzt{w1FAGUZX7pGgsI((Q(@r3kdhG(D^IK*jxNU+UnP8&cEjhKT
z!9P5c%75dF=X3Ku(tZDYKU`vW%`~p_CEE|xgn}C_i(A|Vb*~wiG_`14mu}xMY^Qkk
z@-CCDjm;R+3xDGi!*vysrxjdE0%Ts{Kq9$Eea=wOT?@UFclwDwC$C2cai@M~x~zU7
zE$qRlUJ~kHxrAgY>|s{Q?$n>0y9#mW6)lff#e5=%CAo(K!6}_tJev)(L(RNvug}Fh
z+CK*i{<AtG#zRLYpV#j!c2r5~{o%U_+s!ZmmBauQ`u?59qD9zpsL^eqTzd_!kd?iH
zSA#;LzPx?-0amq7i;r4IKYSBuD{;6j!6YsuG&gcL!=O_4@APY72F7fKiC9T_zEv?*
z@b*C?RZK_qoBrIk2wDUjo;f)_Ffq|&(HRHuh9TOmKI3)S-lc=N_tM7obMb6?N&eE=
zYzkzpqj8rZ?x+*@*jX{qu3cDYjV?0;QFD1^1@ty)9BzIYb3eo(sGiMi?8V;sC4_Zu
zz5em@Y>dpwOLB`O6}L+#yn*}IAa8+AnEAEGTIO(!`S{<9^5&C+?TK@@#X;|y)Iojc
z-}d6=hzqXg3Nbfy)X&wcr-UyG9URYZrqT%C-d*fyt}X6@+*KGbWflf;_M`M2(t8dL
z4!P`Ak48is_z1Tb8x73OSw}e1!rn?Zx8^`Kf>=q-Ra4)8xqqmVuMX2DPYLe5o|SpU
zGY4aYkA7BW^8w;VrVwYFO?JCu35VlORP>QhAq`FBfH==T;LlVam*DDas@YnTeT}_x
zPfH635h{a!o1Z=zPNInbsUR<J_KV0qtGjZV6+}iz=mG@rHSsliHE+~l_r;67C9{Bt
zLm*Vsw0>hV#&~IpM{Mu`l$Z1R&0=q6u%g(l-#)S)+t*Ygcwc`^``>#3UeTJ}&7>i_
z^f2(6${<%a%SUg?JHPoOD4vn_JiUJXdjFdmD6F9}mp#0SYnG*nen99tr1Z*++u*|>
z^?o7TJCa5TC7FI@soTR=%k24}E=g3pzrq&Gu5YEx$^JThJ($cGu261h^k+WwCWKFs
z2J+E`aF?w0-_nv#UyX9$>j?SVF|_RS3Ckmzahy7<C_f;dg)(#XGl}*<nxL>B??=>-
z&4zU|^Z({{e1X6L<+{b0_{~y}t6MRS`o<@0rYfk^SXmdhBma0?u(8qVw!1K?YX`Na
zT16OBM#(=+dtaDfC6MYa?%<!2@{!^u*`@UK^o{68#I%V9#SM4`;>0Df{f~RS)&YAF
z^H23>o?<nfwdA8QjFQz2ju9TxLzN9pk@sfLuXfTzv?=Dt1tl~;AGm%~yR@_{O<FJJ
z+S^|0P1dZh<>UOX*lF|(xAvAT++MQX#HS|R2`k!I@c%^0Z`nK_?|+O+g983D<q1iT
z%OKg5dFAN(x-)2m;JTImO~uPg6k_teBTtWyu2dp<;?ExwjHfutjQx1|bwi@%?T&j1
z0>DZ)KIucD%exB`p4`dZUr@_i>@4M&8~SSV&pvP`_u-ZST~8oJv1fwQ3)yDM=0`Vu
z!P`@A^v??f>}Cju$(Gf4OTiEs2y<pUYb`hRrek^#gFevn=&l%-$kMTd=N8yR+N=*3
z&+nv|W^rQP*3Wf*4c2s}*RZyR&x*B~#R`;;2<=kemyHs|j}CIrZ_%~nJ$6h}dM&-*
z`RZH?sL})!7zwM73Nr*yh$k<!CGX&um#>Nj#uBn$wQY&*e=r$r1KK^1jkDj(%dy0=
zCwIqf4b1G4H$Zo5gvmTbc5b8h1Gp04C5+(clY8E~Mf5rf29>0FOEStWkDD~_XGz;W
zU>4pTUpPk+)6rTS?)2t!WLl*)nc*7VP!$&h;~<Bm6{ua!_(TGE7CMQKsj?pu_-Lla
zPIHCMEN6=Tj&AQ0C8h2?<oSj&4Mpzq<dMT~HW4>1>%%rDdR%H9h}fK{Xky04*%ZRt
z%pPXH-MlXPcfE_VJklwn)55WSK1oCM@qIcn#W<nBlcSQdhGiULQu>=$hVMgK180(Z
zb0x;dw%7o(O1gV<yBH^Ce`oj2de9SR6nMOI?H1Q(HX9C^QL3>Tn?ZE*iHE4@3!pR%
z>lmXzuIj(uHD877SWMD)O#K!Qg#2s@*KwOd6+gOavoyi=WJAv}(0D;;IZtlj{QaWw
z!9a4msP{su^%@c{4cXgFZkEg=$z|<W*=Z17Ecj82Q-08zR{q-w)9q%36MLSK^zXCj
z=Ka=Ri(7Rp=ZUA}&G?ULXO6@frHhYPi~4mPpuwZHPTrp@f18L2wdLbMGulX&l)hrH
zNxjAX+Z)~d1>Z}$TrRwoo|NU}d1#8+{g;2t)eY1yEv>weX|d?*Q>HK7?*8fTSM$<Z
zXiB|f_2Y*}f@P7VM05~l>ct8UhXNamupd*G$X)RjNyk=Mb~^#ZXHe*c&UH+k%WSb$
zi9FtA4NwX=oIhZL9h>$Si1oOJPlw);1xHrk$$t6UdCu_Mx>tqA{(&=L56c=iyP))|
z-@ktc<(l;FsQD|YouOb_qknfmD{r!Kz&`lD70@t!!YuQt_mSVu?ylo#1qp<hFPE;H
z*D7z7tb+m)_mN7q!r`#0n+LgETyg>kfyFJKZoqjRg<NMGDb=gC9p>n+QWcy2$XVX#
z>iHrvS~XEISe;>;M*am}xYC571`S@4m}aIUp4C76L8d9u(b4l<tob*;XJNA}o^@Hh
zWo>=GW@u3F9{$4C!6DO3=fhntqsG0}_K;aU*If0-^#)>U8md$E-jYow-#^$~P?GFB
zPqDlz^Ne)E7nSpxo#}?(1t&2k&%)4^rni%8kh~KniJSzwOWjp;sF<W4D{v<Ma_iSt
za2>(`^%W&L@v?BR(_(W6ZQQ&wqAwvXE-!jA6-3U{v^VoChvLR3eEnh;P$x7wc79yr
z&2S%3NEpC4H6Ig?(Ue55;zNyC)xz?+neg`Z_CtJg;9!ADx`;!XQD2zs%yLP&QO%qF
zYrKs>&r&ZMB5MBa?ebb$I^{;#!9fi>AAq;cwM<P-MesI>HD!bSS67s}(<gJ(Dx-Xu
zYt<%XJ@q)+?_jA=r&O1pk8gdwm0ad%y>%7?-h!6~aw!!}_zUnxyAa8fIe3Hh{io&d
zr)LpuaA9lz7B_T`o=KDX;^tv1)>&v^VBkk|$%^!qBufw$LEnk6O0`4!;{Hb1{0&=^
z*9G$ZH(SkRPBpIC51UGrcFd;!oBwb(H20ScLkUN%^(xD2>1@^~)>WYgDceL2)8F6!
z<L3_Mz_&Zg!|+*<Rjjjo7J5V{CB<(Y0$pAorY)!Tc7HzE4wKQm9?YBJF`{Rk;nH5~
zfN^YCD&Q=uGuymaT|LmL`BlA0F5=elPI(}VCQEXEF21n;l}LJ~OyG%KIqDY3S*$vS
z9>Yb2S-ya=;0SjeR1uW|D)`!lV6T|@{^mRe;be^Tba1emkb7i^aJ&sM@Eo&z|HR}#
zN0_l7@G@XeSFm1_hSgR*dpQ0NcMaTngh64scC^1`Eh4#HIbAlD>;56*TS5!j2<k3y
zbJ83Jg}7Uwz5$R6=*lA_BfY)7mfcBk1cF&}+h}&=IMLGQLB9k<2z-V1Ku7pWm=%KX
zx;5gtZ6E89(>`%`%qmA+F3f!=(LVi^L1FyJFFwqY>^qrf9?&+4bOyw^jYcOjdcscr
zlg;zz&%v98m){XdSo64q{o@nklg(tv7xu2a7-{j&v-9PJHuM_KC8X|c!~_~dOc;X3
z8Gy@HNT!wwv+tm2TMX}<0^xklwZ0z*oOr&eNm}gcNMEb+Id90DH*a(S3jFo!7xT&b
zr|i?CMZ{m%?!Lg2EwG=q78Y~OCo9cXpb1x+=Wp{~_*#iyZSlUX1K0)NoWH|z>27?=
z>j$q=Niy6*h3AffGjvykll6aN>$~HzY~Q#qdn9Du*-AE9WzX!9ossOFz4s_Pk-b6)
zp<xtRnURDfdnJ1lA*0^ouIKmu^S(aM=lS%^?)$pV^E{5@yUqY_<x!84JmIvb+FQDp
zKeP0DfMjSvQXbtFH%(nX3v5^nm*U9%@ih6zjO4rDGd2;muV1T6N)DNzE5qCM+oR8o
zJX^b<yKKm@dEydPeUA5S>%(c&z|A)|rh6#d>3jzjsQa22<vz^*Ih#$C-kSNrr?K~<
zZl;|66aW=w{Ch9gt+r$(_CMc1J`WFjAB@`#1Sty&ooiWx2F!&)T&NUA{Dk?B`k@MG
zHkvm39FrD0k*tsU%Wqc`qmOcYdfLK4_JO@qK35cO(2@V63t9F;G>P48`60gWo&zNq
zc+;xOZJwo1-@nHKpPg>ExK}AhGVtInNr}!u1=#<BD}#Rh*tH{IhL;igbJ*Z+AMqVF
zT_Kf*i2GkACXDNtzPoqRFH4~$CjcpT94?2Qath4KG05lG4$Z;x4|^Kp8=Mb$9|v{{
zd=|Ec3#_o1pMp@v{M+-Hh#@+Shy}V{5#(w4uPDL3Y~EwqQ@q<66#qWFZ0Z;JOG&CQ
zau=t@6{2G0CnhFXvvx?ZF+*C+v?%~8?Y@BBw!BCGb>g=nH&v{>p8l|RF6kweFD#%Y
zsx}T;DGTc2%{ZJspT(XSHmUMrykOlrF6iCyxj>Q;`5Q0j83iX`^BwGVGXng+2N>1#
zokMsNe_lAy^j4#{<8va1D84YI8df^u+v#b_kHu3%yxFHed8ThxCUk^(rPHMV8<n_^
z0B8Xp83~&gaZ&HDCTC3_5^{#9fHc+O)?h<r<!~@{3ki9h?sjWdS0|Hx-}_}t7RFB`
z*uk)LZz4GYI8EEcL%%mnEpT?8&FFJdihOPkbMO-QmHNiUD1{_&seIURdVWjGV(Lmh
z)H`UFW?>KnP4dE0v+wA@E0cPUwJQw7WfyUFN*v%kf8g5u^VX##Eead6-7fd31wwmX
z*ddQ>L{kXhe?BAxp#>^BEM%hJW+~9CgxL!PMhXD|9d4?-jMJhCckS&_DUAKKn|(RL
zY|m5Yuh@RFI`(Vli?<vb=d2jJUFUMv$tD$!agg-JZBFj64IUi&-1eV`XIM{C>pC0K
zb<r+fRE=Z0%Bp+Cwq`iCk?5TZ#T`%=+(=r5x(r|VcULD=k!>lIXHUeVyHI?gz46~4
zRQdx<UQuJ?Nv`iqc+utH+`GpZr+`$KLQjx$|NebEr&x^B$KQATCMG8n_u2n#V8inA
zgZ+J$VP^BN!^#LNr|DWs$A^X>?w)D#f0HeHc6OExUr%?F2vI}AFhxQJQ*pK{lX;dJ
z8yiavM$Yx6d-jV)FZ&M(L0910iu?wFAQ5wf&hbKuW<p}Ku*+2DO<2UwYx=XNZ$d$_
z(0eU0@#pvUpPND$5)asm2c%9mplkcd-#zWTDKU`mGvQ!$6D<gBf;#J2KUD+&0{nAI
zgocKOw|*h{hU8a{Y+I^hsGoNLC3D&5?fuaME#*?Dt#|9+vW8!9e@Wz~nVFdmJ=r}I
z^Stg!?f@FUdW|2xG5*P*PzI~Yh)9|$<=f<$4ez2u8o3y%Lmj!e_k}r_XHV?2uS-ZY
zLE{KNd3kwyoZcuZZN`dANgn{CJ&*W7oIt++Qr7Nyr@&Cj7C85>2F;yA+-8Fhou?bT
zy#y7s-+|T^BW!e?o^d7N`oo)2XRDf6t$C7x*PX`r8iKFqoB@*{@}4WV;I?bCx7Q01
z#1AyR+bw@W5W_c)`s@@mL+^@<7x(i2NFb*NbuHedg|DC`+bteSOm)EB@ttyyez`7{
zzn!GS(6i_PO+-MjWsSJy-<25gxeWl&C<`~Kks&5h+fc)P{P;SfPnogmtn*PpsX7`%
z>}uR)H$Tf6S*pd`7{M+;Ya$Zp#ifqE-A_tN>Y4W!W}Lxe465|>yB%6!_vCGzaGiLP
z^2SuXr@C8Y$rg<KMoLO}#rx3NouJ7;=*B^u9wharUwnJYd-M*7wi$v$7cyE-iwBm6
zgf^S@`UAg(<3&YB1Fx!fwb`p*blGX9=_0b#u>Mk+Mc|h>gA-eY!7Cr%UUXGzIho!L
z2n>X!#R&Rc&EPfNC=0r%JE%c>FDOGBH3Pq)?KI>}gLo1cjH)f)6YA?Xn{MCnoz_3p
zhXP2CG@btF-O9dK@#@{NR-)%xNqxj`m;`Xb(3(X96ZiMe6Y%~XkIX_R9~V8kl#ggS
zcS}(T_#p|7Uo~zj-obuiiYXw+F+T=JfdMyvD%m8iDsxJ%v_Lhqk-K|YFRcZ#REw)`
z>BRkL`gDPcE+xI!h{sjzjF=gF{k-N4A)0CEx~W@^-opttjh-x~JO@}Ff_?TBei6K?
zX7<sxX4EY7Y(+QX5xUxfqScr9C;@L$1sp7!AU%Z^M>3@+2sXfTdRHjSEg@&Xy0EDV
z2;T-&rUe*iGxztDTTcTXcF+66%BSWw)H>9szT>40GuX}!AM!Zlc-6aiiJoKVarjlL
z2Z$RGiT!Kle>XdTkP+fH`geXx{}IGY;U|l-KoGQ%l`MzMZi>o=(4^S%ww?uwDWXz=
zw1VjtLC+zj8l1$v%X{<U!bBYpXM&vzQA-!|NTVt*U4HLZukb0eXKrq;qmuqO6Fs`Y
zrj&$wOKs|Bp{q+ium@nr|E4{tVhJ2ab(ZhrNMN-^OP|iEu;nfso+xNTs30tGuGyfy
zK4_VP<F@@Ob73Yi^IuFeK<{{aAx`{us4(x&HeFpOUazLW0K;wahr$FFjBC?w*J6g*
z%$F~h@a68_UC+LDx7KA^jP)s_v)AC;BFAHT<imc5K46$9Cntv+<AQ@453E|@>}+uw
z7eH^gVO>p0@2AoC|DA>Vn={RgEuZJNQ`fq70%nqXlfXo3$c>A@K3l6GUeQRtaHgCj
zI>Pr}E=wic21j{JK<@dxML6k*+fjU%{zF`{GvLi6SzXjwQzr3hV=kD+eKkrkqaVCs
z+X1~~sm=ghLB~978nn=1VeglsqGCdM{wIh2R;WT`$P7FJBYL90<xp<r5vjrj#OcNF
zjojk#9gD%M$jZtJz7Ym<@vaT<>zGzXk4tvn6Q;O7TeGmfahH0NNz)$}wHBjyH_hp)
z?$i44@NoXzyV<x%Q^t#vk*1736oJ0J-Llw)Y<|^Mm@&lvj<-R23fp{}$nP#%S0Zdo
zI9<96W?qN=TP)dVfgSmG#|f<=MH{UOqP1a*I|DgiOVS;0$91@y@RS(}(KtIe5aeJu
zXzd<QG-HW6JZnAA=@j=RE_%_6&6=!xNl%}hDncjxYDR>|;BGd>V-wzGk^YrBAJ6#<
zwKM4fh;Y$NW(JcNw&cl1P2j->Mp)=+cc{b{tBZHDF@g*XMu#+|B_$++pm%G5C318U
z_3u3ms;Ao^pU>Gc8$AaFsbjqk@7;@nEovM;%lY4x)z@b|I^#b8LIm~(Y1RFAL`s5E
zl8gdB?Xx=dv;~^vFQ;erdZ?zosfc(MF^E5iuT4J!_9v^7p=mOc1S4tdN)0yF&hF<8
zN-H}x&bNnN!+xFCc<&2G*IS#N1kRyTNl}<BFv6C9wZM`@D~g#&?Oj~*R_a_}vkWmZ
z$sy@B`W5;^LKmZU{UnlE9{%3G_xFPnv!|(QtHx&hFdg}({|#}{DKqZ0wdSI;CywZt
z<G;GPvZAH$ty}f<#Cn(!QQ_3Z-<rOmK#sz5%GIj02@er@)4xKz=&a-o=P5OhvEI5;
z`l6wfDR)WzZp8`*>dLvy;6rNC><_fAO>-m7(obLzzbpNFH?ee=3V;WgBDSnllDA;4
zaq#kZrXd(M`!4uor4*tC^*H;w{78@SyWOXLBp222s3w1%m<T|vDPH>52Rr(IyL=9l
z^_o{MOoP>_NhsD<F&tfeebv=W(PY))!u1A9!iv3vD=(MyhHX)|gn3lyqey!&+z{}=
zs1k_Cv?4EzUpQvpn$%__!X=N5FnaT|i6i3e*|wal3eDHT-_Ke`Pz4Q;x{~pRQHwJz
zyN4G1@31p}CWvo|>~@mdeHmaD=tF)_&i+2wNWd!CrRyHAu}ds3e_qeeLXFe!#?GOC
z=GZn_ls`Q)Bc)xS{kI$n85d|hNsVL9yAXq4nDhB%iQ{UC1285sOgl;Q!)rhVgr8AP
z02MD`TD#yD=Yo3?m+pIiwbsYX67vg|m5-x=KQZAQwe*Ox5EB!7&cKyR&;RlIwiN+Z
zg2IdPO~cpYqcbBTJ|9}JSFE<~o#Pex`UV#d50Av*4`53er_F~m;*Ik%_D%Aa3YN_F
z{mb{njt#p!NUlew{POVQJ6rqqO%#B_X`RTwYlF3*-0^QcYOoW%nxn#&{k4Q2qv^I-
zUc&L)_k2XoE<V)`1=g9S<bLK(IXbFzN^bZm)Im+3evPSLyC7&))Cg|C2UI*ii2W;u
zIrW&WSS;n}Q25uefnsvUl91DlXyII8x0&?0o?~MaXc`o{zeRYmm(5&!?$v_Fc?}H>
zCC7-r?Gq!lOaE%@k5)maGl?A+6Ah=6%Su?XG=zd#ajBSV7`NO|>0xdBG}|`T{T+k?
zcKVyUDaFYw-rnAjlvM6mGyKW@F?Vl@de>O(9d0V`JHB*Eq}WF3fLF*rypVkv<^iQL
z$2Y1R=l#^I3VjV&9;s2&d|VX3-TC{Q<1IvePf#%`=r@}5a&%VQ^ONXBRTrCFmt*X4
zEqzbJViQpn{>m-22H%2ZL=8oH?=c&zy{I5-C)>mjugVvUx<*}9!7O#ars>$MSP&-G
zP7Eeed~in3c}ZsX?vygp7jySwBH_Yod6XhWBe;KC0Sy;3h9i&c!-u_CB<AVQGf5fq
z@n*IU_av_BsoIu_1h6$x5*f?I3r8I>?W!_Ikw)1Wl61IrRz1^x9d@6;VwXhqQWBs;
zMuI&jMy`fPlwSOE?biZX5ii$)?Xw;iGYJ1|!dHa6)8l+`yKbvE!xRuSgDS(v?Aaf!
z1qA)6g@o%vGn{kE0!Mr@jcNa_TsV1Cm03QiHcRYqbnutamDR}PT4Vw>TJg%Y`!ixz
zwi1p|Vq0bhReeAye!w4#>Q@r!??8~^uR2cGY~<@p47smw$}50x0_?!gBU+|A@EH?^
zx(Q`(s?gk6loDlzJeZrWJR_vGN*G&PcDrby2fN8aRwF_a;W)MMjB;3W^}|u&w#|DI
z#LxvB{g~`I@tOakm)ic{jGj=TY#vOcEQZ50Nl#Dz>D!Y#AGg^TrtbHm+HtWE0NQQY
zWewZiI<M2a!ArPNpaspz>*(y>#V^M(bt+Sg&5aqYq^>E3Tl${$CZ3*x9bfa8WLL(n
z_aRbA%0asi%s$!H01<=68_}~1q)sg7`ce@_!V`Q49Uf?HjH<2svai*M84E=#Cj*a>
z_BfU2y=7Y>_xDOC-mJv?UbjT(@>UlAt}1(>SEG&ggO>)LC~2n}Gx)V%2pyZ9m=NoU
z@aIEkEI|_9bM_L4YVP&DU+r^z9ej~;Z5ewUadI42Bmgc1kuHkp=GS38y$XG%h`r(1
z0RpVY(FLsf6gH>#LL-*$L0=Ai9sp8zs;zs(x0^2a{s0Khgfk6LEY`z~&!0a-Yg`BN
zMCg?ox8DUGC_Y$%#v+|z^KsG!SN2>iZZ+mBabjJa)3TtHo?PgtcSwZ)qAOojl3&A=
zs4)aHY|RjCt$}6ohyedhsW^*F03#kMcGHnWcg(qE>a2<MJ8e3@cFrMX`ZPwFc|x}8
ziLGAQ&C;c0-=ArVKpPo=903w<CVUS7(_l0j0#-nff!Zy8OoR4uFup5hiSyMc$XP`B
zDlgd?*0+rw<Ui^sjP4-k+5gv)q-3fx9Nm}0&wBq!p1W6!7>7^>L7XOU=@0WAT)FP^
zF=CK~=-c4qYkf$_K%OLIgk{+^Xif{EN*qQ;X58p}C!Om+nDPDh$#yrwppi4XZB}iq
z!kbZ{_s%?<mAP~MXOtXs{($e(=znG2HotqGnUar-YI~We<Cz|(zbXd4jnNaPX9?w;
z`)7wXMn2o}P&c!zo0L}OZJ=RzV~i8#C$S~vy*&ru!Qi^1)NZUM(h84Ue2BlW{-Moy
z)Zd@WlB9pPnb!xL`?8`JIavfA6Eqa3p+<K7oK!I7I%OZ)vo5|B>Z9rvm8H%Uh^3qd
zQHhU_W$+~-YIQ;XqMYnPL+%Dmt11-Y<?Ea1qRW|v-2L!xu81fJ)5%t5!NtXOntXXn
zqL{fzkGZ6S_Ihucv&F0SQjJG+f-ZMAb*^mf^nD%WUSb-~nVcRSh3}mBd5#Yr98l~C
zpMb!3DM_e%7~cR^rk!5;wVaO^2IEo@#@~X>9I+GzK!6_So808B+J48o;@2==lUjPp
zqpoL0blqzHI&ZJR(5%g8Lx9h(et)mZBc~G|5L7TrTn@&;r}qG=Y(RWl0`Y@QHC0-1
z>jh?*+39y`Xw1#a^k6JnA9>LTX99-#`#8!PA-%uPD&lih8FX)Zzcz^sj6W9(y?+R*
zSwHg_8yub+BabWls%s5|E`yPWIdvXsb*F0&E0z6(0tz=Y;uS{04Ogg#S29d65zrSu
zJ@JAi2W`{Km+PaZfsmpRuUK?<<T(V2G9)f9<+$d(Y5VVMCMeXKxJ2I=_N%!ZGm~U7
zE5oSv<GB{|4ClJOLbjbA4$3psT~zfhiD)baQ+5e`Y<N*(Gzj#_<QxS*dnX2Qs|&_X
zJCx=g02U$e>D^I2>5u&(%~wV>urTw=-axyB#ytVRl0MfV|M#T8r{~hs2SzcjFtY^g
z>7(mB6ofJ{t0aCpD$Myd%vRB{YwmFvNl22eqt=jfuPx>K9{~h7mCj6+R~eWQYqJ7B
zFA*4eVCD}ESO+XJ<YW_A1XPqedhVTi>;A(4JrSZOpd8nCS-p#egDa5dBz;&vFzq-0
z(8WPes2&azqK@aL%>nyKTI~C1RWw?1aX9U(ub(UIIs<U7X$5EWzYbjvc?9ff&w|e+
z2Es&?No60<^hg+!+0w}Jdfz0+8;x&X4^UB0*Rxq1q(+vjL~na~RVpN1)4<dtm9M+e
zT`0p5#SlFU<tTK&h*1OduP6gk|3z|52@E8H)F_=iwi7U6U~EEm?lZbg3EdwOwMlPL
z1ON>Tv%fbEV*h;zvFm^;%U`OxPxhv496yS^`$G4e>U)#2h0Kzan;6BmVZ{<wf((N~
zvbq?p-!4XD@m;jUFnd8ZNlXq%)Rff2LL8);o3ZDd_%TEXmg%Vvu|z;<bnlPnn(onZ
z1!-IcA!}%1T&dI>i;gI?L_4LfWhwh^9+;B>GK0BZx^boO0m#7}vH{UBZ3zi>b{Ed3
zn^}<g@0AkQIw!`*Z@Ag}&jd}bdy?ox@!znxHe<O^?IhKmMR55NW>`mc$pG7}iYJ^5
zYg*w~#0KoHaecs+ghs|?&bP+tu4s+6qYu~Z%LrsASX;AX^lGctxy}+Iy&3r*_JSlB
z;0&%gQWTy7y@c@8Hz~g{Mf3k@0cIM!*B2g+zA^)I@}GBQWvjp?!LZ;%@<SpNrY(9H
zxoSkpt!QVK|L@0z%)DA>LDWly?Q1~IV{qzy{3g=6k;CqT-L`+Cpek8%ao_NgW_{dB
zpXa?LZ%+B%%rp!Qm9>XDo&cRN;YXj{OHfRh-{0T2t{Fe9bvd4Fbmbhb*5PrT**{p)
z*d`_-dOEav`C27<&m(SoeZr%KhdrVRdt+9K!N2$NT^$|C6sq1pi@w+2csLWNuTMX;
zF{s3de$uoL-pgw{xw^K1ECx^-lAddHI3;3OjEUXTc#@KmrmyM_yg12XJ7p8k{W}i5
zoCbxQqi^()WV}nX{TOnMjNs?txVeW-+7C=pIqsa{Yv#%y*3)dpztg`Lkh9c#E&psI
zuz=!`@$K8wLVjTUtmaO)36?TrB6TZWS<bc=C}aOP!n2*O>VItUGDJhy&vdNT`5bfS
z_Muv`SEdq}{e_*z5CpoJ8NgxglSsV{JOmG2AW*({fGh@-nsx{z5T?NXfYX){gNY$A
zAILgj;nECD$15#5aHvfxy;gPVvdYWR9E+LX91ddd=xAK)WaR662wMg1iAS?or@$pY
zr}j5gzZRy+nzDr@+-S9lRzRQ+ON~fc%`XH#;_H1cZi#Ka67$inz{kZQL@ea|WOsfA
z5m|hV8=<hzk`9$(?wp?3-1U>!hB;Q;cS}gaGrH!g>7Df6D(=aV5h@~FlF4EE^X$ct
z9yM9Zv*;0?Q2rVZDRFqFY6E{g=l1r+i%mX~4Zw|Z=0zZFDIAaCEyV0Qb_0nc{b$Xf
zB>(`+t1YKL1~-97IYtkI(CWkae!JeIIFK)+7aA&FQv9#k!OP;aXvujx_+25A_iTFh
zj2;1hGx`vN<^`PwAPpel__TnVP^KgD2SAw4U{Fi0l>Yn5%tDlO-8@zwSUaAmrVR_p
zm3367Yx?*xATcj<q|82Dwu!fXCjX1QW0!kikFHxg=T=ICm57J@!O2<C34C`r;-+21
zOX&D+Fz3vpdM9*v_ue-R&CbGjwGru-qNP9VPS-26Mm0R--M4%WX8zq$;x|c27Z7%;
z2X)gvlm5%OhiH+&>X%~pUp23m<m3Sih9;Nc@37_h6;ArWmrj&AX7Aub_dUQA8n1&Y
zD+mG*UPzt+lgkjaBl~Lf1W-CqkA0T>uy+a|`mdS5ZAl1BxI6mtZ07KtFY46~H~99U
zy*zd5KPU=TA(G%%kSWZ;90PkHEz)GM=7g%~1yEp>Ji9Hdp*z#qoou7394;4wFn8id
zlxw*2=ilynRGZ-Mp*SMMlXFvyq3avn^cSAt*j<f#++JQ@@mr5{#6(2iPWz<#J-86t
zfai<|k}hC{Z(;?1+Sz$*tmbM&g^VTKIpi)*xZzyaXR$PMt&+O}5M$^Oe7W$sjj9&_
z4wr!D0Zyn8DDY?w-(|iuKZFM1ef#Ym2owE6k2)CHi@6M5K8GXbZ_oqqA`fYW`==3x
zf^h{7dK3zrl~0<N7zUA#i#31`0O)%Q<1cG0cJQpc+`%}VS}*--)aC2li$s!I+#bJz
zSaP3ATt!PiSttmvq^Ml)o=87Wg&>y&;O{UbCT6Vy$Pi^=C{<6@Jev7C>_XgFaZr_E
zy!@r;O`1gR!*#*cAe88(Izh+At(KoJT>TZV$eN>;&>H)fjav->d;Td(ZHV0R*?>gG
zt>hz>xBlCJ=K*1x&0h+w4MIdr+&_Uscdg`NYi~7}0)fs&>lFL9!amat&d!=~Q{kK}
zmUN|Va0td1<ye+Hx~kXS+`R1N?d`v2Bm9pL*R=!uW|FR({yZ0*#t<DH-NxZZV|JaN
zejh35@~%F}YZ@IDkkI2>QHh%IpVC3hQ6-Qi#*lb7+t!Gx+dY|O_=Uww_K(ET+2O~u
z(|t1LO3c(RZ!O<MwnHM8M8io1Y)K@Lou(C5Vv$p<3TJDS8GnDDvH?2<h+^0&FvEc7
zI=({AK|zRAdasYfa*lDt3DjsaK7_9X(qdHCf*K8JwlV}>Qavc#^DtO<NtmvS>gM94
z*N9X4s#N`o=)B6jLHj>?ngej=ai?3O-okMyEF3T>TuN%N*qKY}U92^#9sK-3SST)z
zY{a`#9U(_vM|Ig-8d?LMWqeW=kzMPI6(-o0THWFP=DH_#Z*{m#7+?G-mjP$-;H-;W
z%)qkQyVK6g$rMl0g+qegv`i#T_<q#TUG7>=aiiV@vPrrbdPh6=XG--BGjX1G59!-x
zL-(uF2bN_6c^Fi_79M6tX&F;^DQH8)&?T$Cipi;h^#Fma4G^iUu3ki;Ku$By#zWEq
zz0J*1B}GMm`!kbAb>~F-XPN_}qoQ!tnvKMh?7kSWi5jla)6h&b`npa}*+xe<o}0jr
z#AlYuze-08!E;9GXCa~NG?B`w7MYH30<?k~D%!FL<h;77foxnFc{v9&7<4-dsZHVL
z5!CWg78lbg6*T!MB<DJHF~eIg^n7YDZ^Nu3`?WRQ*!_5-#*PGeD^0eQ1d2!oWCj|x
zo)Z&r8t7%yTfsYOyz=uu05_XUNCOKQ*Dd!=K5nK&GP_#1{+<dPg{cY9h(HzTQ2zdh
zGR`&aV`$G3j0!%R6W-Vv(~yz^a?GFm`%R;Dt7ip=0P{hSg=OxkMNZq%(Xr?uipNnu
zJ)ggvG}+lIk=W9aa^JdGNAzCfz3C|j;uhD2G}89HCMJA|0dhGySp*ppA}QC*AE=9G
z4yyXC_d<)C*9zWW&UmY|Ew-#-rFk33$^w4$lpdc!+9Va>`yh{Rpxhyd?tn>O$r>8}
zI;|-vq9RMYU$9{9B5<6TIu~_=stEa}8G1Z~o~%^zq1v)WH0`vXBj+iQW(8akt@zsB
z^+W6Omptmn=}EKCIZfg|;nw{_EPR6-5xG|vjpls4KG8BT+$<fM3?HPKPs2H<c8=O$
zQoJr;u`l}_G;+Sxb9`JGz0g+NSbQgu@}m=5vq)>#&QoYSV|HkI`o;ROp4gzbBseEG
zpH6XBfB!vP9WS$RonxH^?s7=VW*yHEcfLol(ph_0mnC47uAse;TAr$sDEglIM-cyj
z`_xMHoM%M$JOBwQpcjLQ;H*qDH)O&g6pi#k5vXi#KEr=m@D5h9jnNE1rRZL~Q97c;
zVa8|D8H|S3sHNH8o3oBQAdo$RTJy#Iu^JE-fbf*l4=j2Bsrf28I(oX4?Xg=s5ED+5
zXd%=e&<DkvO4WdK7zn_hFyD!rQ2QRKdrJ0zc#9$QbQfeV-(gH?S%2Bc+ptn-Y$_W;
z45D`O7>gg6X3IX+7IA!sRO0AHW2I7?;z~xZGn<o5NXFUR@7qeG8lf_(S7v*kJ}oGC
z`SN9lC`-3HtgkPM?L+K@;b*eXQA=;)v$%<3u`B^y$0&N`QBQ=(J-WOxmL9=u`KZ^L
zT%)+8=P-Q|ou~%g2wn8N2*l_D<<4-Vl8l|kX~sc2SH-c&UK~_RROFGSc?Vj~@u3=?
zv~LxZmr1>_!!udUICs;&c%(bry_+L`Z9(yJ1kC6+nx}(7FpJKPnd){?{|yA;6{-jI
zN?UK|6V_j~yc>B76|Ab8;Wk7)0&WUZ*#rn`V8+!clgIxBoLDfL6yN#<*tHsK%2i<L
zm!%HtmzI`lYiq3qL`6haMEXIb2HKPF*G~rioDS%e?V~xS?+>mfC>DW6u+q8l)vK#H
zeVDDV`$$$787~aQCrvpM0CMT;YX<EgT{l>VG+v8AUxkM7#i#%jx`J2lA;O@NAZjyi
zVsxJGlHln7o;%oXCY_a>U23}*hrZCz{IV=CenAt(FEu&h<W4S!6~-R7^;7}U+PEKN
zj1LYrs>SV=SaQS_I!wri*EwWwefQMY7gTKLiu2B?x`c(KT>UU$Ef6c;?*2GF$t|%n
z;_c|Vv#TpL+lo(I``k{oiA$iEO;3oOUbPsqvrrxX(%)uQ2-6S1n&IL1hllHq-b!!2
zGnjOdno@ws<22-tdRIKFol!b1=cuGW$ct_T>N}u~EP*<@4rCcH+r*J_8KwcNU^%)E
zi5i~jYH&sXJf*}K>;)_~kX;kiHfkW(fz{av*_$wC4QIpE05C>N!T1W@P%umlFpSdS
zW5aKVCh5@JE==_`p?ylmxoeoZ0po2`;o>wN;p!d#FWcs+4*ABg9Q1;ViyW9(wr6Xs
z$4y)db;HkDRT*x+qxlPcZ9rsANL_g<731>P+q=su@sD*r_;`7}rF>y)P^PEKLiXm$
zaRlkBQQE|Azz}_Z1cRBte_fq=-CwPjhRrMQ%jeI0?>ejnj2@)INI#h+(`c~2H{XD9
z+ne*oM0-~;;FjLe89>zaSa&J!V5A?qM_^34#V2pB+?<-Mb(?FyIP(=nN9Q#vWq<x*
zI=61rl?K)&4>?d2cJmrmwyyuY*@(7;y|~5GYiR@yY+OtX_4<bil0duu0p4B`pnp%o
zfjy{cXJ>YYY-YXbmer-71QKjxB2_<M==c8fkbadPjdQGIE`mpi{P}aAM8-HT2^YVn
zH?vhTl`(kii?TKaL6&dU`a8&9hP3v$A&jiyv^+`5faSb6OE`az;1ct<f^2-#?_A{C
z42({b4Oj@d#?wa8UxK!BE{9(a20R&V;kyNls8Zlc-arf4HUAuAz-UFl+`a5EN#611
z{+5%!l2W&Np)ay?a+b_uBaj6in%>1JPOk#3l^8vZ8!Mz)wn*r9^I`v%$Y&FB!bp(>
zS{ky722*|H^{9;4gBTW?SRrBIQ5~(nkWHUh-m>gatizXpy`GJNGRdWzX|7w*WDcWk
zBnV)I5<+!vq{k_F#JG#eDY#3CTi;^4zPIF0Qw@H4BTT>{UVO45QeaoVJ?ZnxfZo@F
zfVMb--Pq&?ki^9&Jt{n1+3-bV@RJIgjH)1epU9VrR1Ut)<s{|jT7M@5$T~Gz@|Vi#
zBPJ%+QJuaF1Ce<P4)9woEz-s3u@F*(@QKWGIyjr5zGa#b(9`ZLqv-joxvv^k%WG4>
zpu6lLOBy7__}f_l#+uIsOFsh&OfJOXyeM$r5S?67Rq(Yr*?3nbekdh2=2OPfj%@ZG
zc*~#K>d#Afw_DXXc1Ij#p5JkaR`_BO))acgl&+%tM4c-({zI9Ey_pVNGW9j}f(6a}
zwr}#ZtJBB+O(xqND2)DYoixrkfxWK?Lt^Q5T;V{oD#Pc_^>|^1*YbL-L8?=lCj&F<
z!Ox$?`xiJm&&j6GT|_GN#4}WEf28U(pjRp}Z9x$RuG$JdSWatxlaQf{gFP9jCj41z
zBvWc78FU#aZ;B^?uzTzl9~pyS*^~8vDnqZk^#u1wVaDW~&bBeiE*Y0ckvBI|;Gd|p
z3#s|Eky$6CNmWw}vfoa(JXg)sdx8Z))1U{Hp`&kZ{P;AoNRjCk$5Yh@G;?9bU#pn9
zg#DXm;5d%OUEShF<-eO*<lXk2{8ae+_ispA_Dr5(P1>v4dU@i(Q9-F*Isnt}@0E%?
zK$w(`8F#Pa%enm#PS~sTsL-STGTnfc^kHn{5I=as97+6(G9~B$qHD-a6D5m(L4ltX
z|C4GijVvkXiB@-Z5`LTN5*t>l8>L?(lFGN@-m_Mr%T*tBe_T*d0Qcq<yM}HA=-6?h
zh~U%Rtdh^NF-p~WK)5rwl8KQMrV)OvYy~E8sZ?530@;KNqjs|HLd6~dE+4R*jf`9u
zyONWmGQ;ZaQ=`iyDxmpfQ8D^lGSe7>jh#>W;JxF|<~5I3krSzW-j;rj+9F!H2LMD3
zEML>`G-wAKguRehPkb=6>}jf^*~#J(3muJA&s!_`qb?|mUAy#983?=V1^PQt7VL5D
zI}wZ-9r=9naRgZf5hjoL!<4$iK$8aEI5?B9g3uehI&ts6A2rdugbcnE-+wcU=R=2V
zEG(=vRh#IVmb}4gFEJERzpBl)A$QlFgtUYc=OTR?8NzLa&&)zf{HC@xAunWmbMu8B
zXAT}JQYahZ78A-t*L!onX!B`!w%x<g)%2Dsr~fI}c1|>XZOb$K7XAfL0*|rea1yQK
zkR$Aoe6&`EC1qs}pXB$WUB$Gk*eqdWA<N*oy<}^X|B+WAe*g~$e3K}K(ad}L-uP;)
z4dIaY4RS0nmd|N1MPM?Q5XJ=rT?c&Qy0+9Gxq?UhWHYSc@oJ$g*dj&N73JmSYYY18
z7_E0Mw)xjL%$~b-DRt}a{m<Rg`&dW9Gk#W}B?i2vRpXy*Fk7J8Js=?9dRg{mRbv)M
ze+eSy=Y>waPqTvN^oBOp*0TL0E6w>(_}GAJr<98&T*kl0-D@TA+OB3?wfIL}2(zXb
z{h04)E0fgu_U(hi(CQ+%QKu`zhgOpmTMi$O5V<0A<Fy%b#h@U&k2ZmcuOV^qd$}=h
z2Jr7+4V?hGh?J8Z^`>=-vLK6<7t4ii17yxFrefL@1k4ip;aXu;W`tBk>0|eps<_2}
z=Frc%iKHjkc@Xq>#G7_$atsTUSc!UQE&UQ3US%%^y|ilvS8aF2_3PtOS(tn!91GQx
z)efaC`SWiZxaOuk0=&7FF%Yf`S~B1o3oA`+Fr(7fzbkl}q#R*0PNIhUwIvsp1(7I)
z4GyW;DGViSWU=T>J1{zd#Q8_>)jxf%AwXAb0k#KQ1IA3C*v5tWuBfGhD&O{&656E1
z9FY(V6?W8H_ke3NH<c8wpyJjRxW`=Y`l>Nsl;&ao=|g;G5KkwoI{-X?w?)^|nEp74
zX$YfM*?5+A>@xm%88%?pM`t0pgi_gaGSo5`+3|x_A2_NZOftoi&$d2N$rY#yWH~`d
zylstm)J41|+#|YgB9^<a1CnzgR|uFt$aY4vaVU0w=2xvsx1w}aZItsq%M#ZnG_$De
z`q7a+x~PsXn|CPCO4|K2pv{el=CBr4_eiisf!4EI73m9Q{kLVLo2tI=G>uUBVq0{7
zcw}e&bW8OpxN&R!#TXtEb!EpwQhKr$4;L4#2EQpUme)SlQ7IjQwqT1hxcfO{tL_8L
zVsBSTru`~GkRCu{3S@n$rE>$+<ZEq&zE=p+IW>f*7xG{NZGhHl<dvB;XjK5IADFTK
zyEs2rUCrp-bbB^2r7A7fck`m6gUk3}&7|NWGE?j9+doq4oVN_%CLikYcRm2c^oMb0
zo_g12PcmidK^%DX^D=HNR~HwldY$o!j0G7+_TvVw-0L<3V-nA}GpS<4W}BK{*}W40
z3(X8;At!->@&l|B+jb+%cSF*Cj?sW3jSUWBAiI92PaVD0%#tzGn6-Vw5w-KuDzUFW
z?R{SmpILWwa<Vo`*Ql&@w2M2rHPIFER(JtA&wP8~z$(L_Sw30Pv*|`u?^B|?fz1Kz
zPDfaZBA1q`VTU$Iz5CrXS>P=8T&pyq(pd}n=AWlC0XPe9#;lcpbA8W`o>UviC{OPD
z0YKg)x>0q1Ts)Sbaxr9M6KOWb2%9xy3ucmI6bCX2&~Xw3EqY()je@|s|35kTcVR9O
z4GHn|R!f?e&ZL&{_|ql$4n3uJqXbzc{l$y!bar?DyjvV%^WnS41l|V*x7*i(M5NVw
zA_VJ*-H;^;EI(}ukR0oKFW(MS)~5C|Uc$it{7l_?#{M8pq!K68R=(zx@|BEyZUo|V
z#1~c<e)Um8A6DQ^W`#Ob<LLV4$_kUUxu<KFQq6TYY<8@X*v)t*Wwi3yv?L7JSi(pE
za?~Hx`$}3H<w;ONHZ$eNEB!q>a^Y9Zb!6F0idFXUIA3hmYDV2N6%Na=x#(e@?sWb7
z^{~?G*SM%I#BldQt75|II{*G-6V86egKCz<;R#liFSQFXzSc0%wb4{n-vH07$gxkD
zY31vC<1BB~=Y4SHlnQ_|`m3ITW_~Dm?e|Y1jhb4a$oaREE{)E>;T_I~O8+OYu#cN+
z`q1Cm#%5y#ptiFn!}ZdkRgiwZIMWM%B6~{g#*NzEr^bE;w{k#k9YZDYV_JmVF=5i`
z9SIf{qJAa77u*NnPMOs*F3dwMzr&#>`-#iU_DlDA_X_4!GD%khS-!J=m)gRmo*>$T
z;MS7Xa?(N}2%?^H`^vM%KwPR;oa~Sd{?8dWlpnmeO<qp4882gVf}U*Hkusus@LSy(
zolO|R7uR8@qlG)W^C<9g$rjbVGRv1#7Y(Xt0z5glP(rcpLdW))-CcX3k9_J<`LlCc
z#Z|EhjqE%$<Ui^i-%N~*l&}+0Fi+=ylOW>alWEg&>Mnd}=?N$%Z-MjyH{4hZ##gZC
z8~_e1Hkf2JAcS?~_=XVn$`m}lUtDRbMWX`f7z`u~U_{>%tAFgEXA~_-4SA|?VX8nn
z4qmyPEefEisW00UA0)7vwq(gAXb6t&13X=glW|Eh2@)+(D#?agBIU-`8}X8OVwyzS
zsU-}pkWI}_i0nvglLy~ps_aZ?i&@cds5U3y#$wfUPPw;wA%gSg#~Zg4I3Fb#lTcCC
z9*CbmZ@U@8gb(&w_|Y{==3A%hzIgFsna33_%vyDJEJOyw>FWGzl`k@csxns+1AFGp
z`rS=nFdtfeDtKA3XGwy{BGyX8cG$gQq;W2)#36$8_RALBnIFgY9IqUV?d<GWQ|5FY
z1GNtPEtZFTLiapew5b(L@R=PwX@mR};|YXr*3}&<lPr%3fkp#G1h|f6)ym9cxUB|A
zHy9}y=vy;Xue8#5{N)2y%y%TN;$v3ajV}@VGFEBy>{g6(55}K`Hb;0{Q+GK?D*$<>
zjEU8P#C82)tS;{=!wq@o9oMrP{+Y}1#|xjr=%3tR^LkX~`ks-724bD#3iYlT-})mR
z=*z&S4|k=UPSuUR^VN4927~SOI2wa}J9Ua1pV&W=7Ii*}=P$C|B_|h5;Ez-3@=lIT
z(XQbvY>PDiDw7z)zovdqfK#p_Y~xO|zVBvlMcwSl$-Kq*_47g+RXu0F6=nl|&IC{2
z2|8{H+!9rIU}bHT(4fa+KGc?lc{iVGBl`z_8E?N0*@chXD^wd3K?z|<*qxY=h#QQ}
zSTgk{wcHPUt0L+QH3XxBr3tVU!>FThW4_xp=Sc=vG@H7@JNe4R5m(K%hHEa*N<j#-
z&q)bi7k1dj9PXx#e_*6E9dWcAxRkx`DB+9J5jX6FeE3iuH0?b~zhxA3{P4#d<Aa_Q
zHmugx*08h1{na51b1*k`BpOv&;vn&oXHnoOM*o2@k;T$Qw@#1tqPlk66-VjLg6TiK
z>#z+hxP7B2HA4yC0s1}#ZJ$u@2pOhtyM9vS!X4H*IYhBqR0SJRdNEFtS6)JXZ58&8
zk3rL))sHVX6}O9vWQA!Ty>^Q1O(hUGcTdm(pBrInrF-Urcc0X<6+1#b90S4N9M&aJ
z&SJ3hnN<&YYoDDyl5#Vj!WwmJNJRfko=Z5KFY02AdZSh-yzcF7^s-rB@3pP*iN!$N
zMCejjHL@lAJ>YUUUEQGw0&)=Dfit}#kp=P<<P=W@^!OWyJ8m6qzMbB>pj_muF$C65
z?%v_;gEmi4mTXSd??D>0<QTPB*F#U7-)QMMpcJz}!PoSQokNyBW$mH$g8;!n?82l?
z#vQm=60R0-tzV=<jsTf6>;0uep`Z<a<oiGqVaUy3#u;4c{9ud3kQk4&or^Gkz?%uo
z&WA=SGsFhvxsysvG3%<|?7jB6&*n(wU~hs~f~|m?dHkh34N}s55y8jCgl5pn=#YU9
zEOrWb1{l|@%#oy+(kDhYVpVf(&DAS$B5-uWRL9QKvAI9a;;o><kFb$HWV)=hxwrEq
z?rCfFRFbaNwCSNDk%#!yQ@xKIl!`-q-57Eostx-{3E;-L-o=R~|C$nqVOBSKA{rDb
z=Dp=G8&fjNW*KMr<YrXdr3FvNr!Jjp@fL2ymwIc2R6-(5c<t(}Ubo2O`%B~*a@P)g
zA(=<hC}7w7190PmrT*L#AU7G~)wF8eU$&y7NRUcUOP};YgNRQ51zA5Be}4W70uww8
z4DT%m=iH_M5xthf{rBlncstpHDmc2M`?80J)cnS}`@vzJ;Rl9+LU1{ix-4{zpM1G+
zQBvNn^)Z88*IQqD=C5O8A~qjWkB^TBaw&eF_9VftICM(@S4hnMD22()0=Y+;-!L6t
z2ewldnBp0vnB}i+62u9dE4fdhz#ciBIWO{Rlq=41?EIxvl#~6U7$y<sM%d&04GI1P
zP*{XhJgeZ5C2g1c^o4I=56FS`J=uF5Q4Aw*9@!joN6o*LVX6c;%9rwun#V1g?2j*;
zJv@5@%yuL@HXuH2a}#V)j|OkQodhUumyWAAIzlewNW==YHPb1CD_8K@VqDhE`clL`
z_yG6!*(*i~D@Fs&%+`O+`VMBlJPkCXX#1ZQpu*K@yt-JAbNDn4Znpy?8*%hJ_`N1h
zl2B-Z?idXXD;5>9Lr;+BJL8X*iNtuJ;&+p;sG+GlHxceQOHa?eYojJL;5E!1IJFn*
zr#u3Ubntk!&G4TZQaQBY;2zF7Q@^>$HU3?{pus`~wEgmYi3)mMQz+1@p`sk@?PKIG
zL920d6hnqW;nk>k*Vr(G)+bWWZg8ZVANsh<vnU{L^(I#NiA?xD3`f7KZ+~9@_R^(*
zt#v_b3Pbdj_%ae{SB1r0s!66WXiD#0ZxZq7ks25EHB5h|4_GRQhvhliSowr!KK77T
z%xs;?!-37+8_;YTUj>>i1xbx6%>D)#zQQBlDC?EI%qMS0;gVEJW(+Lvt$G=gMu6%(
zR$eif)slLxLsF9VI3PlO!YeS$!cb%WK_sy}grwb>{*d;|$_P~3wly1nnn$zK>DOKc
z<6+BAtSdL4$qLKqmfoZfTzp^k7Gy><p?}WM_78X*SEGBXPZzI-`U6yn!1#U>cv5SD
zU&jDJgP=jsuK%%^cX@DTAv^fOjqL2$5O6Dk^B5#N+{Ul%fl9s#GzSo^W*u3K54(P)
zSfOmUrs_MC0CEL6K#Ns(0=zcR7=kYdTCo%t@q&Nnao0nz&{FCVVq<~`n>cy6wX8^!
z<#FH#COnWtiYnK4ULNZ?9r<7#@>E7kR+fSDq0Jo%RhMWxzeA6@$@7E{E>4q^N-#t%
z`)Bl05=I`Z7j!V2{|Qr$vOdAR!=E&Fk+$tgiMLwY;}k&+a<v3i5zDJdm*q@ib03>5
z^~rvJQ{BlId(V1As1H^vOx=!77xA(E@~BUag)}0cJCX=+1Fl!`W{VwRiU1n*d!2OV
zBTlu6?u+a(GEbiv5`Ap?Y061a4pBP8l;G#`1EWnYh$hg1gohyuXlbLz;z!uqe!G^9
zhLQ-VPC$Ae*vyzw@fNrfXt+yn<{qyUCH80XV<AKxhLEs|RzZQk6|6v_pgwT?p;Tln
z6@U>&K+dY3$yZRj{Pf>*dv?~2j<UgG4qk5z)cZb|G>Vyy)q&wpoSMS6144#qTh_*g
z?`<nrI@K41WIbq<w}!E$yBiHVnVig<&5Z>d_B$shC+QQWQ}7d*ApgI-{2rZ#FPjlw
z#}1KUrygG$%aRiz?tOSE4c)gNR^|3!+~lpXS9T@~XAV+X#@t8Zhjh^faOg~zrQ
zIpuP=(37GMKa^IV_L?R)8G3o6tl~->Ag9gC({JCDlGEYhE3_kl5-v9eZ=~^%5QNFk
zZb^!lR8-vUNxlNgF2gEIzmx;Wc><5Je#;aXTfoZn-AfGenP+BZT+q587$I9gc*Aw;
zxgi+C;l7CGZ1vyl`twNMfAu{98^ZK$jM6s+HR`#l?#^!Si_E*d1%D7T*8*?cr4Bxc
z4@8EI)WhV;D&3ZRE0-dk)~N6_a?OcycluF-ScgP*-^GZkE7N9t7pH@$0|e3_TB~vx
zspdXW!TFv984vF*VYJ6$T_{rURve8CN`HUfu}0o7f)5vo=l}kw!j${aaS_mOUg#3E
zU)dOBO1J0R)0s9j&&o5Ng<o(r=Ekrh`FYws2N!gJl<j97I3<Q|iaT#Bp$P<p&vWV1
z+~CPpUhsjD+y_7&$_E37DGf}jz#asWz=yay^X?xxN=>|n^<lg!qP_Xwa=4rVXM~>w
zv`us`^+uiGHpGHYZ*5Us+lPXW4%%fHXf}Db8%;4gZX~nSRzkL0GRvZec3_9Zz#c<l
z_x2&<SAQ}&0l3;UrHqQxx85X4+1gKF55*i&I0)k#U}AqYz-}TN-57M;-hB2i>hE65
zyqbZ}oSt!+8xs)^t4ow8O2!Nd;Je5hbx6^wdt&{k-yGG<&V(T+CAQRhg)A00y*C8~
zbD&w6SZ;#^B?J+_5^}Ynp#enEpj4vbM(qMIL5e`NNN}yqr<sT87jQk`yFd`=577u{
zbsd-mgUR5&;lC%g!^Y7#eDp5SPRlCY$zE4io+z1DGOhB&OolR))IE<;Y(Cv^ABSR5
zpeO+|Fau*alM31rt=**QHqNu}?r5jJ#IAiL6J`_BFXPa_jd#Dzef#QIb4HHjC5m&7
zBAEF6QEjyMvzf+T2{c@gdDgH>zl$)wVAh?tDouZuEF+`H_d{5oQY8M#tyMPYp6YrR
ze^@0-UQdsfdT)6FIj9eo%pbs#F)+xW@7aE-Q?~I(U0T2EVyhXXX@GAr&LJD1cKCsT
z0z88`0Q#amgvK}S{kM|KMG_!BZT=U7QF<d8RwI=XfqJ4KbYBGp7WsA`Y-@U~zX(as
z41d}S0#N8p?D214g-rJfoWg2i)-*^l!jPm#r!IwmtUvsaXgMq;uwqk59$K~jSZ!rr
zsY8t;uET_lpgPR2QA%CVy!34Pc&AE*6g#?uc~8A<ekbFrW>eH>^VXin0)5MS!wbeh
zY~lPh+0P!2)Ro^aFUORDIBjk!tT422YWcAzF)}9mjy``oGB?N_IFT8TUY=`N3#9`h
zSV#I5w|*WTN<%b(ro^tifdMG|gCKB&!G8hmAwxTH&~H}2M%9^3_1~M-R^pH)1^Ud|
zh&cK|!^_JNEGj=v&a8~iZ9-FQEpUh6`Tg5?cnJOze62i}eTVGp=|`d1f%)|Wmc;J~
zf~Kg9vFc)tN7-ugK0R%pb9>PMjGXXY(8p(}xKn1iHQ~sb_6x*!tpp(9y^G~r&2@U`
zkch;Q<+5F90LFYizJ6CXD{M%??eIJjLx%G0(^+P<Cf($&vne}0unISlSjKPeuHile
ztwRVDKD46lWE@f}YN3S*X7J&r4IS?SF*SPCLhLTQ9BH^-fQFV9;|chWVfkl^d9Q(1
z6&;dMGPF9Ok@ml%>lQvUTy6%Mc=+mHzL0^0ovazIyj5qd;SH~T#uNQrAnpTu@{L{Y
z>`LD7FRQO}vzp8ZBjpS*dr2=fzQ?4(Cp_Zo0#H0uvyrWk{pMqlU5bo7Y>l}G{x40w
zdpK$h-zS2DY1kFBO@83E1+$Oep?DDCTa%Z568(8T?T-ek$_88N2V2TGDqqZ0oVKJq
zw#yf=Xpb;n6oEaNJdIXPA)mi|u?!XUTv9*z27g9c(NaLD>~>d|AB+3)$~~*8@zmtl
z*E@gA3)DUVz$>AblKddY0$it#iQQNT5c?zGj?IM!1U@CkqbvW;FZMN5s%miq+1nVJ
z^GEWd0a$c6_A9F2K*!y({8~7RmM;K@i=6Hbfyv~<m1Gvk7(hpR-Db?uF)$by;a6zm
z@hg9@nI5+&#q;6oub_9+YIiS2B@HaYRn)901-GAcw{IV6W(i#R5jmi0m+O@4jw$BZ
zu>L1^0v`6vO#j}gMb;Oz*g5ofP&_(h5R4R84Z7hD1<-bUo}G0K^=~I&;|6ZC`Z<J=
zRMym_JW8zCb)I<bFxMUl5eCv<b*0<CK7UBp!G~^@;K`taM$ke?cxE6nthPYy-&X(c
z*viq<hd`w$3qB&4QbyOOU%l6ihYRpfB57}ZLi2H5h#+LQ4Yh56_x6tLpsAgJgj+d*
zI7Zv1k5bVf7_Wn7vKW*vQSnRMhcH$$DodBTMu<H)YE&PB!Ld&Grfcid`?3Hd!KI>t
zJO$0Z_n5{wz9=Q2#cZ&8LDGH<mosUZnazIvDg;32<m3bX-`}ZQ45x{HKs*YpH@p1c
zgTe>Au(BY1EZqiF0CoZw5p=z^XpZf8brAdwstbrh>H#B%7o30VSLwf(m>?Tv0V`!9
zcI6HM5i&GS)a?$P#R+%k9UFreg0iS<8%p?D@=WqT0ks@FoHSaOct#cfgO}m;s(Z<;
z$d4F++&2p6H6J`6jq9EVt|-k1QU&f2@O|46g`_w>6kSMZl!X%%i`?=H38T$Y-1ytZ
zR0iCYlnRp#AW<0ZKP^t6;>}ox7ia=@6R<gg`Ft8eP)CP{(c@W;xUUNwsXzHtlGCAa
zg#-#nPI&>d8?Z>A&jkfCh$7xWY>-`Fw)fH2x0o=;BQJPWJa-!QA?NN0WXh)W@$W5x
zRC?3US@7C@zAGVt7|DcJj*b%Okfi?$F|e<#m@DPEy6W?Mquj}1s*Krr$|CC!@Yuo0
ziO!0WALt3EvC8Yr)>@O#@FG4O40Qg4M%t0Bwh9!Rpma5vylh*L7F0ciI;RM5Ls_IK
zNI?$P9~a#WadQJ*szv<f1#OCsxt$&MTvAITst&#)TT<|$@AU<>?Hnz1v7&s!GW$gE
z@F3#{M#Zn?Ul<hVc^oS-U#$n&*)4;rYY;A(n&z4J61xiW1azhp+M&0jruA>c|0+T%
zXKlnwb=Y`t5{^Ql`~oY=@0B7C!=&OQlFTstg9~X3LK3?L)314^+xX|%#eQTW$LhWp
z9zzgQCBqbkvaFO}^mh-vZ<yE(zlEsIfvhIM@a@XGx<Vvz8T)xCr8&1F1dUNZpu;=U
zAp)k}RTl1U8nGgF`ru&boQjLzOA(#Fizy8$B@hC((;l-zkGwXI(bcbkTQ)r4zm{22
z(N@aEI=23OwjGL2W&&w0ObZ(qqAdEMeTHx32(yP!Y2?3yRV?1?jwTBkM8&;etGGYc
zX2^$v3*{x0&$<91qaZ|$U2>$;<~PR6h+iA=C5i0Ff*CtFkB}KG*rnakBZp4it!__%
zB4-NI+u@g&u8Q0}IXelwj9-wRPSrc{(jo2V^lf#P3y}C-DWAh&7bG=nxKv9W@d#qL
zUXFToP(SNj>ron@7SZ=_sarmhW6n~a&}cs_G~vYx+uG}}f3R0RP{*AAvq#|kw=%0f
zD460~Z>^vshGd>s2_Ss^lrQ}Ua$o4Q{r}e*5K9gTfrfR)>?R+khoXX_3^uvi`>azY
z>$d9WYhrHBpoZ(<Big}?Co`z{=H2lKXg!JBEMzdUyN63?`RH>;TZ$UuHjWEKN3Bg$
zMiIdNcxaU@F`$_(1Ql?Fg7<E=SQs&qyZ|CpyqWiKkpKue8>T$0hIZU_JyPdi(AGN3
zmg(KOGd*)|JFBD~gZwVZ`kp)~Mk`-D)?-cudT;1+{(#=`%^z(815m>>fx;r+<0HqL
z9Lj${hywj1Yk_gIn{K=#`hVQpC6>+oNitUHBQPllaq<TYDta%-eOdJq%LR5AH2*l+
zGS)ajHhM}?XFbl#6_dlOU6*qDen{jG1{raUnN4|LCi2iArXmz$ia3BwEjOYL=m-tD
zZBbD+Mxa?Wp9s<~)0+s3rJ}KMraO0U>t~V<cn&wuat8R+@$Qdo6_`-BQz4(v?|kLA
zf1Ixq-N6r>0XhyP`&z{<M(=;SI<A}`-d!pm54(Tm!;2-N=*Ql24brPU0Wi@_s>~Pb
za1^s$ydZST#y{a&92rZohv>N%R1??E<Eo=P7h?GtXlMdj61AVk(p}=e1p%|f6E-9B
z7oxZ;Ai$KE?_rZM<GWjEX{1`JV(@S>3wxW?$tSgBY{aA<yMqCnRL<)Tqzq*B!kyUC
z0Z%L>ywxw-ZRD!60&?nHD)(R4bgiJAvn$iHI_Bb)#9Ys6M5|2C(Hre{2bDo2v!;n0
zU8esq_iY;Y*y=gA!(Y8lR2r{GlNH!8T2X<Slae#n+;W&=F2z4<HV9WXu#E23osbM;
zi+EP<sB}UcZ8cS~KVNg$J1(6Vyfq0U!aXK84<q&k?|eqY>rRGE7U?D0D6SNr9-AyH
z7=_0GxH{+$qVRrAYlmnS`Tln@LaZni!neUtB;U#0TaC|*XZo=peQ{n2Ki;%^>>LoP
z0M34URM<eDaA{74Ttya#@mxdn)0<8fAPq6>2m5{w-?2`uEcTc)qX@ILy*+zMk6z9G
zrm7z(Luz|B0xhV=?9vFAlvLczxhTVuNG|(ClLD3Z)puj;^Js@YXZ7Tr!To9nm4+F^
zkI^VamxPw?T}x)AfIy6}E_nU-Y+H2y9fSGTeJbPn27R^2)nimd*bGwS_7^>}NZSJq
z#o>x#KpSe~R+GEJY*d;SZm!wHV)bEUk<WuRTs*fwIB&#MVbnVpFA{@%`@mOR4#{tl
zj^Bke5o@EH4k|M}0+=_roo=}~x;@e3)POe4{BWQKx|Rf!t>&+fR(HuFHexSEh4WK+
zJ>*(43WsNXA_0e~gM$NH6x0`F8|)EwrE|c&wHgDLV=j~IAx7BT&yYuBJ^P1&&8FFE
zn)K)F5zT*VB6tEK$f}<gn>!^tn%uGZh(fx^ZX`s$Tz8P<@Rv57wMD1vGU;`VeWX&S
zdW5G#^K58d9rm@9_%n-maBSC%KQD1u^cX)^j$N&4a)qMi+dR)19s5pC@y74ppdzlZ
z|1h~`essrIgO8nq$7s#Qw>pJQQ%bpSFAAnn-i!x4X?MiydIt>$+oLR)kQx(WyP=<H
z)pLgioRoEw%>%liC4`=La#Fmit}cK6+N;rIy7w|q8ro*u0=+^%b1s2(o1H@JgRi1?
zG~@YiAQXgF<C!LHgccv_wa%>&zQyO%QQHx9UeBNYtR$__KewAG_gxdai>~|ES;+q(
z?Y+afUgQ7qw`|#?tZYJ(9YV<7J47~-h-}$gM##vXnOP~DL`G&t$POX1tPsA>SLdA1
z=X+hh>-Wd+`t?WGxz6c?*ZY3m_w#;C<8jO{8sz+1+x89)AmVcKI=ZiO_cMPd!@8x5
zo>U-fiWM4j4%doCDH<V4QgWKbs`gRs+=EnW?quaOMfGPEzh}`p{PWZplFDtNoc=aO
z@prc@&nAm7u3lq$hY$D`PGa&rAB1Igvd5D#I<_WAV!OJuWB`27B=<IQD9BOVjpg%f
zU!QqCh()o?FpVdB#p!=P7d+X#&mbt{)-MR=^b(OX-H_Ok>%sd831CL06hOwdOP6K8
za`%Hf*$}0&B<Pi*2&RCLw=@{YVRV1i@i=^(gfn@>ia?hIH~x$-O>UEml1|}QwlHnE
z-P8dh4J8qq-nw;8A{`j3OvHk|{61&$+F$DH1VU`)xs%eNCWfoBY;AWrkg<39(yw{~
zbRQMRir!^v<vZ7+cv17>mfcf}Ze!??$D_CMDLDRl^6Wo`K-v#@ezSvJctk^Qj*^yk
zs7nQPO!)pgL*wpEw>Mm+$tue2%=ej69vJX*b(EML%uep_3|kM6)s@m^GT;z~F>lDt
z>yT84GSakfhjhQwPD>oQdh4o6iiS^x8KtdwPh_5aeVIS%V5aGH=!WXHA$z*W^4^D0
z+oQ!-iD~z^l4(#bev<px*Ly*>Vj+^)T%U1N#5IQ#1%WM__CEM<yW*5yg_O+M-tI!8
zQ`vuKQ;7`yB*=w<d^6Cc?DI$~#OJ5py=6hkMjdT<s@HI1EgUB>?aiCD>lD{GuFy=-
z9K=|)-b8g*<D&w@?zHPo(h_11?gnQ6$TfQ|jou#8-Xh5W*@j_`4`44BP_4IThdr9M
z3zVQv@;5K=gnoY{2vy){l849L59S^*6Hh$v_4u@`z*0S^U2jxQh~-N0%h2@2k5hmh
z+p?=hG4lyS&8vPx)}|PEYVN%QYZ%xoGn_i95a%4AK!k^*5*h!ydQu~DJt|8p!rIN+
zc{HdCu&`e+W-L$!;#Mi>ht~&fd5B4L?oO1h#=9>`c*ZPFJKS`7F0F}s@&VpWIwwgO
zk+-*R6kO@xeA#HXO~Y9G1Av{(-6T1bWW3zAf;*3X(pxmL>M-&1ltr^X&uxd=d+{vg
zOv=TKth7{Tl+t}xA<l7^e^=QT-WD>8y6qdI{Sc(+fG2Ok7KadQqvPYCu7Ru@uua{s
zTTZ&S1&Bb9%Zvrpf3GmRog+_YFjVOrR0kTHm~2Cv2uCbeZ;}<-Med4g#6S-PoEjby
zUaaEli8>~2!(f~c_hHByJcLk9>Uqj<^8~6lG5VM<MX4Cz23$bJvlml|b9E3}z38pB
zM-Ftx?JH&%QJr-9LN{-&PrYl-qF(A{omsg`8>W(QgF>W!x{VKl&arREi7OSCq$(AF
zodTiWBh4WbAw>GE>g^-QU~B}?8b(3j6EYxu5yjB^>rw5@0hHZj0SY+>o?SkRPN=hr
z38co_fsYK)VxK}-O#X;%;Rr~Ze~wl7?!!H*WbEj_mj{%f5N)HvmdB3Ah{3qzA_@)J
zbKCTSY_P?<nKe08cz(UM^eXV<XU=|uAMB;8l#3t{+@H}S{3v4S@d=$2pPIXkm?f%C
zrI>t({0=iC8^l!F>DD@OZ6x}&7-=!*>1;1575w0ZX%G0+=L$t7)r<yJ*taNIMDw9%
z@Q$a6e2Bf!)cCmkY$dT&E~6>d!}NGDZJ4S7U7oPH7R>vBvI6=6P>_V;@Xs-~{|vm4
zNRCjY*&TrW3FaS`3!(jiOT^D;$ESBjYJPMd@2_V;wq!3{bD;<X{W^!#zxP~Yp3Vpv
zu!Fm?^2pI*1)v2n7OXizd_zr5&4!h+&va><Lv7lMr}jJi$#2G4`WzoGY4XeIhbzXv
zP+`;6WewgD8{~<yP381(dAyFoQE{h|p(M9tz&GcyahhQLEl#2igwJnlL5X-4#rO_A
zPII9=%-f%HGR6cs1O=k44oX>CSQLRcjkglfEB@<QhIshKnJ{OIbIlwhZdgjWHx+zD
zsW~yI`cVGdtEbDBpN+qw-C|SEG)izxwM{+vb(XJ~5E{!I4D4%-Svyuck6aU`MU%_g
zFrfGq#*IQ*gOD%)cdS21O%xK<wxIrmrxS^V1t9PM5>Ar<(`aabc*glJ_Z+V{<ydGF
zNUtLiq^S?f8H4-MZaN-pOu`*GM0x?-gnv`6Ac`^_jFh#rUh4rS|K4D7317lOFt4f;
zYD?4zB5cIV|H;srMky?EAFlk4aF?MRfAru151F-{sU-fdz+?+y3=I59tzob52vX_e
zlN0T)lKUQoYn!U;m%dUk_Oj=a)Rt~gWPkAQL3PSFWPNjle#S@H4=LqxG&IODEx2$3
zyB3}5joNPn5JMx~@ViGR43mQ#k>3w3?n`3q7R0Aer-mx9Xw|lQ|00owLeD4)v{(b6
zcz4(w)P#<d>9<peU2<F*THY{fjxMRNkr9Rw{gDRYk&8>y`PqphB<)VxWEo$%tLqB=
zu&BpiV8Fk9KMB~Uqh7GyVfe$Efm<Eu&yhSZ2r0_|KxMR8d$XNfwtl0!7c#5R7^tH`
z@(zfb6%cvK$=p7$)eL}r5k2cj^EDRQA0P%*MxKHc&9QDF^v68-;VK}A7gYM5@aF~m
z|3fU8QeT0D+7<W3o!1@{^nF;)RynT5=2ME#fuzOG6UrQ1d1!ARETLe9T~mgJgCZsd
zz~z;#Gi|a^f|kNOEk2LGppnwDe(eG`5ofm}8WD=knLN8kf+n_xVU`W&Lx9Y-TWc+V
zZpMf2xUMDi5K9kx4NI_bb<h&Zi_y`ai93mAz-el)9&7N)k^Sj3uLE_j43jGy_tV<B
z2QuTX@E)kr(lu{OGo+SZYpH+z*f)m_O$;>+xCRgf27kNiTEJrfm(I>;8pNy)9;rUC
z)Bp(8PSgV0JH2uvs%SZgSu=XAnbmI%|F8j_SYe2%9>8Z{1AQPJaTEV3)ERLbc>qfa
zQE(KnFlQ?|qSdpiuy$@k+BOnIt$CgR2s4&HSRSG&vv|xt00eXd*=2O|<o~n3fgA;;
z5x_9JSz(25gc*o>X<j9qbm_q&NU3KW+}W>yf-%$#<cp7mF{Bg<v<$>n9cIUv=ur9r
zPLGYG_*oPhde1J{Q9E%aJ$P&?K727mT3wx}v+i0|X|FgDx@N6IgO0qUOQ>w9R8q{7
zkQ^7Zw5fh5HO^cqbv*PCgC7Pu>06v91yms%k5Hb0Sa`w*Eym#Bm35)0m$rBq8)H<c
z<5LMqq(ua58G8_!_Zwk2Aq{r3O@ZYXL<|0b9h~-TqUir3rM``7tG|u`dLYfAq4;<i
zL~Zn*OC*IO^#CBj7x#X?as+O#6FB1T0ZWrB`wYoB9J4!<&#T%RgpX(e_iB12WSGt%
zU@d9~@&KbK?~*Trd#uu=;9um7of5E;W;k$Qb9fBI4xFceeGog>t+>hzxi()5AQ141
z5F`_6Ak`n=54wpaMGT>juv3Wv23f3K2pOw?B_&!iMRMChAf0seC%%*uZfbc~2%8-A
z768|@*h0t!$Vyyqy%xkZxnwv})QrQ6dLb*jG1B(vr&>}XWm|83s?2OVVYfH{T+C`8
zcvRTQp&R0*u+uk?oIu2Q^ej=PG5vzLUkp{p=z&EG1o^eKNuhu;hbK=V3uXnRpB(ad
z>3t_4;13%Gz!<W4x8QAO4Te=&O5J?d7?u}m2V@dskAd5)l86S~6^*a4Y4G8HS^x<6
zgFm~D1Sx*J;miAUa1hSgUvLhYL+&PUWP@PZ(E%C(^pub!0iiOWzp6cE`B&j1Dh(_n
z<Vvl331U)55)XWwc5qi#R(?dIdL^2t6NSPst?Ae`W*k0~ks9N2fl%vEcn3kU+Zq{g
zEm9h1XCUr2H58C%wx=@&a`~6Eb?r~gJSSC9B+g$r>anmHul1`4BiG2oYaDnV^r7xq
z$w+Z2-#1PGSt(A4rDMWP^+w@c92$~*rccj(a3hhkB(J4pw;_ZptkSOl`{0|&`M$|E
zEEhO6V66KNZZ>R`>IgC)!4I;FwA~}T0iewj@_*yQ4-8(kl$KsZf&2Cy<Sdfh06G#)
z5;E;yv-!QCUYB178nFd39~@wtL#P-;mWEViL(tjhGfSk*5MgZSATtt)gGNz?PVSq~
zy@zwn_g6v|ZGQ2;x822T+pjRZVI@k;_BSw*UggCg%QLrna%at+)S~I+>v&b?eWvem
zuiDx7hduJq0;<C1AchQbe5=dsE{RGmbR<EKw@?zxQ&~;8uyH5zQ|0CAcx2LN<`JS`
zdUU7wBqA>9*3E7n@ZO(MDuVT^;_K<zi{F7QdS5}D94QfVj;Vo?B=ew?K^c$l+cAoE
zFbwnrVnyagdG}|DO6IcT1!fEDOlmrDFq5rmx8b8ke-yp}_!$u|pdgiCcx|Nc?$t^#
zd>}cCun22G+yv;mW9-zF*8hWv8@2o;Uvc`t$q5p%%i%)+p~*MltrL*h+CX^=l3aJ7
zj3`Wy6iT3Gqpb{Xc|r6;!_oINWW@#52!{WIEK+BI!>(vA!grR6OavPphxi!=(TW2p
z6$un=Ljzvjibo1KKh~T&rTFmYNpA4^Ut!@tXxf9iU<H=h8M87)k2ghv(O=&bsfO+}
zIEeA^KxWCoulv2#kP`t2wa`KH-C?|joaNq0Fq(5+D!pip0)(yOmN{BZ9!bVz`tI`p
zs{YA@v}md>PjJI@%|7(OkkxD;_2^)ZGB!BIF<`L#)Um~M@UwKI+%|SQQa98LLOKBu
zg5P_W3I7Cl5e91rP_x?PZiQyXml|E^!nxXhhsq>LJgq_(vvI8S?!Bb3p&^av+0vH1
zf*WY>;b19YcB2kQh`t%~dB^}@^{xc}9FXv<Z~c0%<F_O6oPVGk;7<_!pLw8E&LJAZ
z8v>r^KxzWzM}T7@iI#$@5S$5^($fghe?ey{D+9eMeHkv&Am(#I8GL8C4j0GaME5I;
zR#8Cy9X;h*y70XFP7r3}r74l2=KSp?VF*aDz>V50cU*6LeZfx0?5^(Pi|-}lmBiM`
zZjmS*KW)*xyo<{Sy{v$SJ`1BI33#G!t%%-do6SxQY|FAU{8r6X6<+YIa_+X%HyK&Y
zAM5U8k#lowkC-P0ad3`1wj)kij~_f~3-`h3U_m`*xW~iO2|MEfGmE#MynZ+@K3Rm!
zj~_oC^d45heWj%2)qvWj$D4bjvWk~+nX2>5c`tbjL6(+bDFI=D7Vbf1a>v=SCV7FV
zGvqbj0HH0oHN0=Hfc+35BL>@JtWK&fnCRZUTkG-j8(cEZA%w?cqpItb%FAEyOgqmQ
zAx}J7&UR1j?|kiQsig~^W<`8+xrh)-5=Jb7^EW3cW7E@Oi^798sbf5o)GSk{`BxR*
zg>`??{+2qjMr%O^{Yqu)4Om-td-tuF<T1ez?roS*bJ({s^!ye#o`f3SMZ#H3R>=5{
zvsxL0uq}JGyQ^{SPq~P36ynKoFd)s1hf?hQ>J^E|b}Dmx`q2n<lyJX{Kid0QRO>~w
zJafk2^nuUH+1q4{mSAE8Il&{gXE8PWoT9nXpW~>8u^<F+?fXhqX+?#jt!<pd%BaLc
za_gjLE4{z%cl>yTZHFO1=I!=jY(I!e&`jYMFf+{es~hWpyekkjuYGaSYjRfYy}7#p
zTD)h_TCg##jVCUciJEl-XL1>Y$U%bEP5ebT)U$XkI>FHTP?-N8=&|Jc#xh?=OiO$O
z@dd06ov}N&Dwqk|d4S@A`MXesTs>mF@Z+-fw_^^nk8taYAiEml6z6&Ok|?$K<bCF?
za*WxL#dv$6v@Z!-DYf)(E1ACe;O7AY8uTgM%Cy=10jsepwc#XWaS6`V{cx^_Ll>J|
z!bzUJC^0Y4-1*fd=e!?=+->>sqo^Rb^3CBj<+4NIH5eqQ1-uHp)bMtj!YIVjnLl`^
ze#EEiTXsH>u(RWWqXeErED!=9p+hb+X+qcOVz=+kbohwENeK2M)I3m?71q7iBAub1
z=o}*MG5jIox4~=Y{}Z42<hP#;m|G2DS^?qbLywE{dFV=6^TJ!$KwcvWvk*TFanx@L
zGu*yHkk4ZfIvqV_rsw@v7Ak+?*0<`txO<I{Fv!eF)s`NV^MPUtmJ16hGz9ZR&6IX+
zCNz7}kO|lcdgF6#m~{y=f~~NFY2c?5PuY{mg_26VSb+gPE*VP2$4qpUvM{}Y3&z1=
zwqk8F1MY328MH5&EwejDr{Z3qX;Dd^#dF3n_VI+<sP<M1lu@Xd$78uSLC>w<4NFQn
zP$qy$$NI!o4J`{T(m*qAWUZzYm+!)28QJiuqWf1>ZJ)zlVPD%WHR50-gjX5LO<<}+
z8WTZahlA13*htWh@<-}F;OCs#S@hd4HGxX8a>KVjE}Hz71}~Dfc0z`Jz+d8Y0_t<<
z5B}e%(<z#3P$c2<++pQGmEW};%0<{z&jDOGL2f&sh;W!|xq?bfO@%$+0N6)p14Ckh
zwO^?mwbP$Her&D$?`4`;G2SEdCWV+CzT*q7-$gOxx*vC&;GLFduxt&%e9|F|o^-Jq
zZ8a$yx{<xTy{!!BeEl;pc%P;Pm9JA;bSh8iJ&VvUdmq`&i0QG7VPhJ3>sc7!k5`1p
z@T80C>yP*!1)@7MHjNQ*TwO9^x&E9Fg~w=uag#l$VY;H2in&APD%^t8g`NBk@6v=;
z!O@#B`Px9N8z<a}=}VA{TyYBMjY}FzuTZa82A~-v**bKSEJL!n7bJMMLj5Gf_x~&@
z0alKm7{>@;A>>(u4v?SeGDJ5tL$W*)6aezU3fr%MC-8P=olLJFLkq|Sf0)Iyzy`U2
zv@QU%E~9Bw>tGB`MxcZSJty?EcsA1fsltyw<wx2P{y<gon=3VUA+}Ez`NDah*-=H%
zmIwnD_!UY@kckMHvE}9EHw&K@LGsw=%yal_k#vqLTWkMtpks2JiJ%znj+eR{)UiV!
z7H<799(ymGI8DHIIAA;b6-rX`1$;|osykGpdYc?K{5P1J@%7c*D>_Irq1BJzB5&5<
z`1G{VjP4oiM?|)#vqE7R1dP4TIq{3>Wv9&T=;;rH#jg{dC<{LF;LL&MlhnKPqpr;`
z$0DrY43?u;dK^nJ_*!`IWi@da#Rfr4_VbYs$iionjx}~32gY7IEGc1sqj?cksn{3E
z%Bz+&Xwwx?5KJB10LSqag*dTD(XY|_xRWpk{w%oRqd2|~m+E1~t3Wfr`G0fn=@W3j
zz<mA`b`4q07c6UVElCIc10qL*V6jY4G2WbU8G#Tk&2}Z+e-CN2NExPTt~(^dGm5kQ
zRZL76T$pK*6qn3l2Nm$Dpa3w$xn3B2X$HZRsBhul!W??U!!gZ8DpxJU=#mS**<0h_
zNrFj07TSC@+Dc3ZK7Nq5YTo>Y*&!)&M?rE7?`Kr_@R4PP=H1<U#27iRU#selK_OtY
zp_`9)n8mn7h|jzI*;^w57eg+5d!DCOiI0yOd*_26rXQy{7MZWuNJn5AsJ|Cc?Md#s
zLA8!;3fhc@@;UGAW-vt}&5_U<0eHf`43pEW=Snjm5#U)XrW0}c)&c*~34szG?7`=C
z8~Ap@fxdsa1}DgbgvxnM`8;)^MrB5Ik)>KDf-MiYQoQz((S8T8+F%VXVf@8*p_}>A
zmF;U=SJi^*1Y3!W=q~s22ZlZAD&V4mYw?)qBk(tJb#UG}zAAK!7<F-hQO=w;H?|^)
zlOe_5IA~}7ISU8udPoPzhKuM!S4Qte)V4VqT03(GQ!ZnrTgJ2+cjdkQdz_tYaV!yf
zHrX*w76kKiaE*r%brV_+s9KJ$Qb(V`-h%Fre7+q&LAgBx;|0<x!^5LdTL156{T7r(
z$dLk)Qlx`LNa$T{Eu60*NlfJ;n&hAg9sIGAIc=Z$ImKC$kk^_aYW->Y`1<QJ+i1$?
z(oYT5zdMU~cP#$I2x=pyN%XGyl#Rt1r1M3IximSE>+*`J?0HvxO_CC5%DIo;T~4wB
zSuSkfK+kU+2Dyw|SYF<FGlEAf4UdLLE!{c*g_>YRfzgAEwID1+zyBtV#;B%E8OI*w
zqGluEM39@(AP(Twb5NfFnbnU`BYFSam<cb1nu&pQk>4wUzeKOZU=?=!5rK~u!c8Bx
zKF$hXy@(pCeuNqt9c77R;_o&kASynM;^xJ=>Y?A(CGtV~ZMFE92u(f%?8aogP0B@>
zhkGnTu{Zw;%)c~QGj`T#6&IB#fus8KrrS2hw$Hf3K`aw4Z#Px7BB$y8lkSIT>fte!
zF-o3^DIHf_=uJB%WPR|W1pUwZY$V=5Fa#ikMBCpBOMbx9$44QjOy;aGT-MRknf_zI
zH({{#5F-q0C%=}LY$qT5Jno_eoS2mOfEtRv9f&#aHOh2<;<l&8!)w`lAMww6M<(!g
zg8oIDob?e4CQ;W8K4V9jz8>zwskadBd3f^BHEq&f2=oP>+d@!GymvA~^zO~i=xUA-
z4@rN@CA$|Iqz0UNBNS0+FS)*JbW`k)AJNdz*q({WM#Faw!Rs!7qCteie9Ot!t<9Q|
zru&Y3FaNBYoTv6%!>kc1zyHrhKrXvE5HnT9>-9~P7gxH{`;91kHB=+Ssx&s<W5-=<
zVPP=U4_3W^BB_#~CEPCXkm7r(L(V#w-}IXBmdO<qLpKfUwL}%Z<|xqLDc0`5js%zX
z;e@7V%Pg1t^{Iud><J7@N;(&Rl91FHw@4&1Dj6n!5R(pHc;2YUNAawe-|njmZ)WFl
z=K}%YE(o7`k?(Wxd_nnwN)$m~Z?+!wLui-7bX}Dwgq;;4+QS+H_J1Gz=1e)J&147L
z;A7^?3H!O2Za<I2fz<*9kp_F+n=Pe+Kwj%BWmB8*$#{ES?i5bze-*uS6@nmu6f4W$
zy;Fbon2q+?N5YNo*+$%uuvPPNPe8G3&xzZ=U{U3qft(?&f2$>;xvHv4s~G>%F&Duz
ziA)mWs&IogYs{{v1Q1fu(sG8nDyNyn25&GLGQfeZ^#G!S;LeFIs|jWbfYv+#6{T(J
z`RDl89F4=W5Nolv#%~X9H;ZRFvixLl1D~icI=;X<TC~`A+ZaVG?c3_t$~OzWpp?7Z
zZZdlgWKHQw{NUgXz}|rY>h;wOO*4-@LR8uNI+}c!!R(Yv?nLvLQYpetOj+}~x~fEM
zn{AcEyLd(LF_xDfME_*}QS^=;z(!%(7$m$WUYT1&;myCY{UYWB<B)P4&PkdkR^)mH
zdg0c<Bj_XO<<nt$xg|C5vGRg4P8H{b&g*c>hjw-)ikv5p5A3OY_Z0cWnCP!O@rPt<
zbK-3}))rHYj-71VR5QxPxoiOJuc||c*MhVDxGRF;h0SeO9MuNqN?;z`_z$!#vd|Dp
z110Faxkn_Dlpd%)X)7-y0RH}R80YUGOAYjs@jWaFR+XVrQ-a)Hgi2B#Cy_gvc^))h
zBJT551>mBE%9_R*kIfUIIw>up^!>$OytMGd!lxAUuZ0VHv(D#2_D_0mP!h?#2)?Gn
ziFqLaj#ZJ20mF=!|Ee_!^Pnkye7v@trkCB2(Kk>ZWg2m&H<+!UghD6;u>)6+P&1hB
zK|oz^B!rL7xC9GzmVPjv1<k*}6vaUK;)TNtm9dhE3Q~M~S$3y_=HM?D0bu2g(==4R
zvoF2#c?2VpIt#!(#88dMCXo)Wx|M1_x2&VOZL2bRM(Oa961Q7jBsT!D@H+vY7Cm9u
zpy)bcSI>ZDA0UY=tvNuBd{zG=5@ICb1`8KvrqN#F>O6N;<@4vvs?>F^#*nge;;r^K
zQBs%|LU6EM*ObX+3rB3%^!urQ`P;ovq0rSJ<|nwM?P$QAQTIAM@oS4uqm{v83m$N(
zEas%j^sM1mQ&LJk^7Kt;Q?Qr3139cS5M^1Q4h0YX%8>@U3mm)G!7U=Q*vUMne|H`k
z3NbHUf+kUjGg>gFg?6_&q*#?%VzZ$fxgn30=mJJ<li{j&edXUlSTpRo86{-UG88?q
zToVq~pvpClc%){-2(G@QwP;xj3or=<1)WYXgesfS@Gu0b+OKsixZ$ADC3-@4a%iaB
zi>KqR;u&g0gXERUtI=O$XSNToDRJF=;Vg&~e)Jn^9OL=?-)GJ$Xkt$RBByP<Du)A%
zt-a6*K;121g+T^YxFW^omfOMGd$-&O7X|0+6}sjMxP8Js{S_iP>dzEENq;f`La{ZM
zW600+Tq{V1ia*G|LdG+2IB0zT=N2!kiT(1GEz0!$s!z8nF|PTBMT|b+A|HZr3(B=J
zdx*o#UbtTuQ7Y3W#;BcAO=oFl?y;U+K!YR=h^jEI9l<~aQZir!NQmEuyZ~Sl8XeOh
zaTP=r#+9F%Q^}VMBBXG*2p)=z6s5Rowa;GM(0&`jJFx6rpw;91n+f4Ng(E+Ve&xe&
zUvu%@d}z}6E%KUmUkan5mQb3{YEGChM1i(KfjA5lyFhQQw~KdGQ9nc>r8cPd0PBiB
z-2o6tP?et?59wPhOm|jt{R2V8_n|)oep;YbeUExg;B(J-o5u6s!6$lvH5`|waN7yB
z(bBW0um~@bLv0y_e)2QoKu|R5#k0gLqEJ=gPb!nFY*Vdm>XUnyAw{=^=59*m1+<GE
z9VqoBchVrS7brInIahf(gWW^dOEEszE6<E_a)}s4d?CpyGF90WBY_`?3@$}2Skf35
zTsY3MfeegOpbY(a>HeFCMfiow13O;L2orq&%}x=&?Qs5;TW<K<N|g9mV1afs9zWlN
z7&Ev?`$1FBh8>A~OVw5YJtZXyva}_hK8EFq+5yPc-eb?<1Vpuu!E1^39=SjBsQ#-N
z6Q#wFLZRsPG)=79Oi@!^v^^X0_)YKO18POG!{Fz>(mX|s&Qq3U<mcyi_d;??DBq~T
zdvp|IcF?sjLxSfZ_*mIR0Xhr8q_vNx4x|Q;`+ErPVcj%LlEtxo+(jdPJ${Q+Fc~kB
z?Gq+j25V6B$BgD?Wa91iTXNbP7I*|eOzGR!=I@>bt*<Li>aNUayAcW!lz%_d<GR$?
z*!b|Izl#!5ewIK4iWAlj6VT0@CQ$MRj5d|i1QKx!S#_DvWCf2YmpxQE2Vm86*owZM
z1}{9OWUPU!py0zVeJ}Z8_~gUi1r*h{!wh7smIiv{A2qLOApS?39H7EW50b$a305H2
zNvmWu|6F$XHXG-V9utJSg9%%c9EK4{-);hhiiYM3r)ggT7)xqz9uoN(LNEv11W-m`
zxy)<%=y16ezASnM^M5Of?eC_{pzHr>t3p(f8YM<I$e1;LW=0uGY)&=7)2F$3(;N*o
z5wg1Zb&O2`FKYTg-Jc_`p&SDqZbP{v1jfeAWrj#`aMe-E*yyl_ua&*j(iO~5ORmYq
zqtMo&3T?weLvi%k>_GLL0$T$1X=bc0Y^09VrMq#{rcbn7IWIjlXfilRK4v@kWBhv#
z7(d`nT(8S&S`TKPBDJ4LJ#?27L}-9{2pC9YAOt9s?@#x(&$c&GE(2KA6~ZnsF0(2g
z!^Cxrs0Tu694PnukmfiafVa3zTBc{0t4`41JzvT4Ybjrc`wP`i($3$oLb3gk*V8-8
zPms*ALtZ~=+3$ClUka>#@TgOTihv9qs;*D>$6I$ZwvlA^#e;_r%Fvpc>8%$#qv>0B
z^Vo>Jzbcu<t{<<egAe=f^ZZeyardsfH2<#zI+9QHv7{TJFUXv)s?WzR;klupj0ARg
zEzU#%-5dFlutn-~>0O>edp}%NY@WHYiJF}quE_iRaFJ$S8pk&E%lLS5+1{`F12bF^
zzA;a#o5G&RVcyLfx^cL)RL00zr)I{if0(GNR$f#c&qpgI@rY$)ZEpux<E?qBb+Hbg
zCqKAoev(={u_gIltf;zc_V63<bWo23uEZZd#!3@<mVi@9>s@w$f;xjFq)v3<aw=SB
z;lF_`2f!T!xNm7`fs~v)$kRi(dLRI6PF|ibLy#)q1|UHM&J8{sz$hB&cR}2Mj-mr<
zlw=WjLM`B1ph5|DvD(9<+kjl4pm!Gfp2K2I+-F>YvIcJ|{7y?r`MVYJSpSv_o`EKy
zeSJUXp9lR1^5QO{paZO2q6#wE;9WvhI?Oa^&Y8#F6cYMkn)>fx?V1A07X=n)^Yq_}
zOe*h=6=JjYWK7>Y%U82oHiQX$C70e7PBFKw=}GO09A&&P&%6i4p;})cUgPt9+xAPE
zp?j6Y1R>G~flK9&&Mo&I{lFk*G^La))-e}eio#(Qswqt}SD@(4;g|Rj%=621sog&4
zV{ldEwZxi%MgwVuVja=n?tXn$Q@*7RA=#S0xO8fziHk}M6COSS5igi_fGh*Q1Awcc
zNDwd*B@11X1tV*qq}L^C0chW*FNOEd-DN;`p2GQonuqAZsnaC{H-tt`yUP-m213L*
z8@_$O=|L<IB*V0V!)syDP2pVqd{5o`#@n4XZ2CVi%wYRN%myJnbUGVWTjI9!fafno
z@S&co7$yF!%ZMuQV2gF9)NmO2^$U)p-Xoo|dGx16qID2Viuw&za&;%WZ=CDx{g@Gl
zaH`6S{|2{YfOioa>Z>}nn6yHODg5@U=lW_o*#$(o7=O(>S*ZZ-gF^8GDXSUmBDqZo
zPpV`|IGUJB3u?HCikE|_-@9@rm!`^_R<yt2@v`-~v}dPzd$zyr>K&HeYW#K-HdYeD
zB3TvIFVoH-G;|?FL-k>qnV`1W-}X75z0=4Tg4>u4{bQ$~zE2tFCHzDXu^FBW$(DF1
z4~XRrC9+FJocKr3g@q8)aO;IM(hIkSePNh#zkLK{d(l36qU0D0C8gzo>f9e}_+G-F
z9)t?}svnu)asyjUX^ALkt`YpQ-Nb9Feg$O;7XPt<CwX7zrYaJvB)G%?%0;FbxTPW%
z32=8cFUH)0ga0R>j$m*3d)C8}^#*h(3-*5ac{SJ(;s)8N&TY2U+Vj~fJ_cmfmONZ*
zE^M?hG4rQ7kd@V8&?Jk)!Hv8a@KAd6`BISAV!{$Vz3N`7f<VOJ@^{i9v2UayOIXS5
zq_QMv6q+)oQ9RZ7BjWc4_xPZ1^7!mFd6b1ZKR!=8DwEzMrQ}CRt@Wn%w&&mx^xI)b
z)j{lMsQL8Y6b+mVRk)rlJZ6t%>g8*PP@6q24sjc(+6h_mFOZqH=R&1C^9a>uG)JQv
zb~YT=p?SzrIRz2~(9o(kSyt)mCs8nb)G}bM-#_9K0F56*O-D?m8@J7NRfKrv1=QZl
zcAJgos`>r#6kgYF%LR2SU@g3uu6PzOrY~os`eB|W3V;*T`#5I#<Iqpw@InnW@=YIX
zPJy}tlF_~#ig}g}se+iE!2(h|Z_#;gAc(0r#7)bghrreiS{JCMWGg)La;(y~haCqD
zyKig;@4vBD9hf~mIYgHn%s-AuAKoO&)&Bhrsk>-1-9hsG5i}1rz8A^K>RA##KSqne
z8ovg-EwCXMQCz(TVxP?@tzj$yA;FbMCuYdHgDlyDeJ=9bhqkEzD^QYI$ZSJUAjwSn
zyZ{GBbaI_aAq$Q)`~+$gKGF(iW($_rcOvHK3lgbGVzzVi!u1thln7Sb8lgH!x|g8Y
z#dy#TnoC7dn<GB45V@Jx;}uu1H+^HqPl7M4pQ|@j`%;3v*3mSVt#>Ut`<1eEk~}i0
zJ9mOeJ{=^g(U+b;*cj}^$qFn0ce}ybilyT3bf|s9H8nb_bMIa$yVBe^;p2sOm;(Q4
z0iFZ2h@g~!-`@8<va*<+QZTytt7{iRE)jGKddy+UJO(wv%l_}_=-++{qn1>^Za<o@
zy<MlaP@KbngRF97<C(UEWDC%!H9?-kY}U`rRiC}p&j1l@tdRZN7(p%C+32Fzow3Ts
zwQz;)31io!LCoSW?)e*>oX*0uBPBXF1SmAJGO%cC`jv^M9;__cy(=mC6khQ{$AM3X
zQO5GR3?GT9i(Kz@j|ws+sbr3Jo)zD<vt1ITy+tid`Pn@sgJoqC1LY5fL(4A*26!$d
zWr-|$&%>UYb9HE9;sI?v)blah`-1Z6m3r2ebA8m7wdcyL`WRraXkCj3&<|n>wPYZ-
zf@ld(A~m)IgxLqkAPDY=NEEMUD{eHOtK8Gs*nqjSdC|8u^hs8JP#6Rr=2Im26~Yk`
zcJ%`n>wYdG{No;y>)+~k{&xKSt)e?fsv`t${z+0{^O2Z4J3XPHrbY;#@87L08XVba
zD-^I%rZVIr*pxJCFFxIe6=P^9`iRBdN!MCVcW=0)W0Z6Ams5;pp4{Z7n-nn+W#y|c
zv!_q`*b*W>p?H(f=`d7PZ5!mgxeKpGlxr1gXz1vSHcAOn%Y=l42&FxGCD8awL)YwK
z9RCI<PJ?n<ukzD^kp(DB*3u-$UY1_$ipBPa;XHk>I|!TT!h5*mI=|Zn(^FrV6GWMS
z=pH&{YinvKpDiSF8JOpftnj3^1Lp4ypnwM?^&6E>b4P>%;`tu6_3-cNusOXWCDjJ>
zjun>!)D(Pvpfm28*8kl_^ydmO@+fdJ7Gd_b<ZCETQ(?1cJ~XIfFQ{p576(jX356mi
zL&JO!+PTPziHS);K@rr#mcA%#JkB3cMy^Ix@SQSr!Sg=3Y^Yh0TrpnL_1e&<M9gt5
zm6bdhYS$v6@RmKYIhhFFV%WO}^wZch!4klBfqYb8jH%-VN#DmnYevweCD@wcFrx5s
z%sR_2z0gS_r=TF%>d&RaZyy~Ug$%C&9AmXbm%DrI$|=fd{+ExctE*>?hX#f|gj_@_
zLIM905)jyHwVc5zgi>}d#}_O;Mbdtueb&2RjDrI8(+)CqU`z?shR&c?6VW1`9Bjht
z2IuIzu0@g0xQH$a*>n&w7`$kpx^c;E$MQW1T35N~IAQ-TGBUEHgtK-k`tvO$8IM>r
zSuq~IHHa)(-93U~C5BGC!SDPGn9H`3-kDecl_1IHi)g=WlSTfdriELSz&)kl$}f{Z
z(L*)e>RoWwAw=J2b4DDtmm2Z7op0Z1upt@pNw_@_OZgF;GRKZR4$u##RygA@Xz=F-
z4&qP@$$KSvqtE42u@J`?_vA<>>64Hy%_2q7WWi@qlOMifj`gu#S5e@~mW6PFv9Ylr
z-#0}!L(P<wmAj&8?iw4PW<;*{_V$7=aD9Cpo7W55AE;k$;|86P8fbt;AVha2ISBj(
zX*QH#U@f-4<hQwi2q9+u&V4MDg=t$r-wZr$c2vg$oO8%>aC3K82P*Z~QjZ8W1U>*V
zGldYn;$C~O=^gv|3V@{+yzsi?``|EYg(_e1DdxEDNQ!G-zB<^*)17`~@K1lt5Q9?T
z2pkRGX}Sc$xc21wN$eL`*hVz?UY5OneWhWIT~{}#%~Sz*qO=d+{b^?!%ErP#6Tj9a
z9tWzqJa>K7)gf;IPQ1u)uIoad*)<YaQvGviEv08bUvej@s^|dd*=RXjM##h0KlD|)
zOCsw8!`n}fCLY}f<SRFGPgU4PhKF;N?AS>d-dDXq&$f!G{_x?$w{PFt8stZBCs~0H
z^!a^rIBy_H4+xg@n~s@Xi&P@c`LArjzNtSwJA!ixcbGb`(}Mqo7n+P38bljsW<egs
zVO;OL46)t=Pbon>mLc>g^)rFQ_TCAo7-6~LqaYlZ?5f&^_j|Y{IYS=C-qSij)gk#B
zK_Wms%W?hs>!PC7jSc%pkH%b2;RM*U#k~D~ir$FwJ#y}?(5sFB^d^+1tDCqeTsj6Y
zaphGq>C++CnU&qmM|#@%Jh=CTXIs+IHZA<F5ple!Z?3L(4lk#B_R+<7<;trYxrd9C
zWF$tfOzZN5^~Ay>mf`M3;46+r@q$-G`!&<rJRheO73xd=o9BX>YT8#Og)2~Ks>8M~
zz|sxR2sSS5=A_T26^EA^XYPa9c4lT%L0CuE%HWH=&}DLR{BLA<F5JYjKapr|SXXch
zJ_RKgr0I_@Jl4_C0neWwZ1bS;<R!E)a2t80iU^W`8jYnD`R3MG0fE&gTaAO8ZbV-c
z93ZU?4hI?Xk1)<1&P?%(XDUI4jm{jpGv~s+*Iz(H>jOGlq)r;jmSIY{tE01r1cw7Z
zCMYOa=yekGZ11%-uRbIO10?5!`VDa6EtzCWEo?$s%9{>w?FQBiiCKM2gj58Jc6PrT
z6CiN=(IwPx>XBJdQc|tY)h;R!JYWpiHnig~w+hNR=ebA=-Vot?8wpoGBF$%Y;BiHN
zly$IYF_>euXL-*}N7LtaMyYy4E;|H4HTtOF$dO3vYj6=?dJu>iLd-dYVH5MRxx;vk
zsq6A6C&%>}4o_89c!RHUZiNhqtRr`X3dm)GpBRMLZgpLJHKC8OTHuSrQw-e|@|TAl
zX+TPj_yYavmP`P%t&OhULgLo-&%vydE}q)3ZOkRTgWVP00QgYv{ObFy`N6s<X!rqB
z9AyVb+pLQ*wm+G553&FKgkT$hMU{&2teJV`(YeuBakVZ;KB{?E>&kIKe?xRlm+;w}
z>MvTnqq9BO9)%+jRN|{*xwffs6%I8o8Y|84#E}tfR)f5txjEyhq<qczgw_{}dvE3=
zZ#7Q0y^krs)M5oMUAw4U@PMXVh7iH;CU3!cnm=BOihggW2QUT!{OM`vNp-}!|HV6o
zihR!_s7}H=9L0gs==Y?%l+uUa3paaKMbT(A3y>gbamZ@IY>UxmFSMwQa&h|ubz2af
z0H<IbOz&adTz3f3J&=RG$*jg<Uv9=kX1j|*7H{#3jA)u_;Yf-?tcFQfpkm3Lmh5;`
zh7N$aFWnx9k^ud@tjtu!J=+tP{!HU}Ze;R}s;SK&R}qWi`UvZjSuS)w6mck@N~Sz+
zlqAE&YOWQ6c?#LjAj6+b55a0EcXx4tOYy8CMlO3&Vj@JYj!?FiuXld(+;9##cKW@u
z0CXfXIUW*k331y1A=Syd2;mF(pZ{KrRo@?l6;gOiiX6)O%o%F!YBMkUOxV7@bjf#j
zd!?ieFZ^ioq&-&n?(<KQnWA=L`KWn;R~gs}2!2h4hc$d9zCOi9rR&1Ok~<CB!&Y|J
zD-B=Q6Ma{s>2k_tPi43+DIIu2{4#?irN&z_mEU9xL%WrW!b-LvF$K>o#~uhR#@F{f
z#Da-cM?k3oDJcrLkA;$!4U~%Gwf2P*S&B<a?B+v;I0}H_C5^CrV_-p<%kCwX$!Iw4
zKj7YD=?s(|Eu1ztk%Cz;p>I8oUA3otfb#2MO~zjXyEUv3ExA&=gd{(uPx&vsVx(}E
zA!I6{^p5u*Myd_!r}bGPEHd%mgnfzcthR7+a{e7ma=!cbd>|!5i{`W?V1F?Q;lL$W
zHy4`n^DVXBc~-OvN`0z+%oWU*ofiJV|NAAy*+L3Cy|6{H-(ByD?6kGDh0+LmGRhQi
z?zrfVYcupZgB+dLT;^}$;hJ?|3^l)5>`dV5_oZO!4gBYqz)p*$MXfQu55)qOd{pu1
z9gv89N7p#^GsycP?Agwahmn3ch0p5KkgnxzoBx(QPqm`1Uhh=6qF^z~ly8CFJ@^;T
z*A&&9xaPAwMJ<*9W9%f%Nqo&~1nOl>%gf7ms6k!;t*p?r*dwQ}IwpyUGR5fJbh~`{
zGLct#UHbw%2gge#(Zi#!8$-pU{2Cd|RMN{A9{ZQ=8Q;ie(J}tgul8iS$Fp^Aj@nV^
zrGfX`i4k=5ggphDt1LMM1yHLHGNyL#?F3mfjYp$m!e04<#+w`0IXFbt{Nam2+WpP7
zYTd}P_q46V(JpRM7l1~Bhdr>$A2@_*mhHDFs|nqkaP4RY#WL3Kc%c4~pr^uHJjlvi
zt~PvKMOF1cz`B2ltw%eX*PGUwC*^kRPz20*=<mtH1%6L?J7yX6>*?q$x$tdAYjG-S
ziDtZdk*dO0I_Bl2{)sXa4mJ38AWXNU1pciidDvF5l%{6fNAoJfMriUW;IKfsdD}uA
zOkYjGEtb!{G`u2X#iZlaW*>W#_qNcpkj6WfUj8q9Ifu?(dZuN|<`Z+p7!*lXs(MLg
zyVD`_JUyC%FI6&Kihw4Dr?Ic*ov4s<L+vA8haq?HX$En?hY!;B%&|j~e)}pf`K$ms
zW=pW0FF11FnvOsdgLNtp4jE&xNG7PN3SKwg{h*zlk!fn!4dP#W=CC0cTi}7=A-|X)
zuWZ~kX0c4Kv}<v#@WN9VMIJun*RwiIFU-!)uBqAEd)1H2XtTL8iq!E4sg97#GJ@qt
z9S776;-5ZM)BeJwBtr|;2+>ly7&4q*{RH}=S+F~#CDeJvl6D9a=spXoTF@S4N%4rG
z2UG5!pInaZ3epN&UGSFQHZkh94P*h00-VI!jef!0!srC^h3Z)?@ZrH}L9q4!dFMun
zz&os`_r=Sz^gKvU{==5SSCNba5fSrkwKV<>ifN4%6tfFjrJ;I`krCIW-J_=jzQ$;p
zSTw9$%B&>c5^Px#dZK7Wel@WtWNHr>69<3JlZS*#MotB=ZI^X_-8{(6%}o#aS<Qux
z>Rma1{Q*x!hiIz!ncdMiqxKd5;egSD+Y(WK<f|``MPi6mujH>ttp>W=$!=T-kbL;?
zTKR1x#XMA5N(v2BiuU(ZR6E@|V;^O-rSyM^jKoX#m4857Tmm^U!}H^0`2qx(UGGR0
zq<?muU82*ne$wT6jAU5BsP^rfx$!vK{NC}3rV=irq*VWE*V(z1ol;1^*unOB&tes!
zze%&R70$lkP}Ug8sA<lrezQP;*VzCP)3W_^#ibKzVa_3YESdqZ!t3&K?sSul`tr)v
zDOP6r7+P^J0l94)f^zUS)*7e=ojilI29%4bMZOj`8)-!PwhujJ=-O4Un_to&YMpf(
zBtMALw}XIvgXFw=&tE!uow>(>fq_jow)@$&E39_?_yiRXf3en~=*Gs!$)wft+C)$u
z&G)6d7uv(Zj-~HB%I4nz*WDUoL<valq~f>kL%^>Q+RN~P2CGF8LtGg4tT7d%3w6|w
zhg6UEXA02MFmFjRy;QmX{&oalM!m_wjki3p)82?0-*w@5CG4T4t=;}RrCcGbTw}nD
z4>zh@^Ln1mhw3m6H!$Tjp31CjFMu^8gLOgw>bAhLQTPuAS>48nJ#8!EoZVg++aX2~
z5!?p|Jm_}9+vhhf7i(=omRB%w0|V9AxN~af;gA$cfjyFseS8?99($`*Kv(jUR<Q^&
z3e*b8%!zF`Yshgssa=(dQ$N2ku1>xN^SfJPb3;R_t=VW9btJae{fB+cG>PZxO60Q1
zy_lM-4n(OJ>obL%8&tFd%EGR5v$Maa@^EQ`1htUCm3sgf4*i>IjN{`<S-%{-O8!fy
z#3Gy!6{OX{O^NU3>bgJBc^M-I-b165C*@^jqXGo+#C8P4WM(Q+<*Pb*_ggxaovFlE
zHr%}7uFpbR#cE$tLMqL5=^0prJ*p&8MMXv671JWN!{wo6WRun%qL}GThFc+;1de1g
zv}MRJnF%lu%YI&S$-FFhS@Rs~t&wLUZQ@$ZMdK91fFmvizo8T}+1{`WayrDYnVC|2
zJzhCH$@{!2k;P4xrqqXek;g&DmyrLxx|$D~3PV?J-@$K>qU2>FjYwhsuEK^cin^#5
zHnzThaR1i(YI{JhUe<V8P`-NiPKX>2*Gwv&WeA0X<JPtaTL;}ng_DwwE)0I)0w(aC
zncypqv~_g6!Obm{6iBqaGxSn8BQW9bcZg$537;vzbh8r^9!uSE?O{aQbFHoQ^^>c1
zdKwx$#gSD~&vRh)T8BS=F1~AY`1cxh_<ItEpHrzMULz$q*MTpWhV$^q7L=Hx8CxsM
zsZg0JHo82C%Sab%1Hco^V=!1xcSMlEy)*2=ax3VoN=pHbG6L`Y@1Kk7KYsAci|Imf
ztBCVbv!6Wt<rw6$idN*G+>ft#`xt_H5z0yC@2idPzkN6kHPCZ=Ud@3Fu$v(TOkspq
zK8e_$pPhmX#u4x?T>}FS#L`y}^fgkzvM+9?{uWU|?to4jo`5ywcPPf|6Dg~&hXx3U
z16_DLmoN>`e(>|ZH;T6aUV;O!ZpNW>OcdU}R?t<V*Y^j+-X_O8MPvuJ+{$1JPwP)i
zOf&(r2qN4B%>>eD%fi^PvWxZ}%zHgf2t(4%gR+_bCjtI0SwYR~*VjoSf|pR&c<={N
z1$J^op`vihcXfRWP;I@DHe<uMp8#$M=>)r#iVW{act{7E?i-ugJLQnrKXQqhIgxXx
zxwf|>GdLd0FRYgWCZJEAiRJ5Urj?D2Q>!Bm`DH6A5kw(p%3p|>;CSaVOLtC%=v=oe
zpA<}E<M8k>Q2zcH1Ng4nyC<)nS0W4B?AIBrT`+pt0xgEpFftMY1mI2>A>t`H|J`*P
zN?;QadG$&+(hm*SvP;hjnwp*t=PSa66(~~>5%wZCtcv?HhkbyZwE7;r$y#f;Z)j-u
zX7ZR$LtFa^m?4l`KZ3afpzXCi?0O2+-8IxS#PNz$7(yNO>EWCStTW#~zoC```Is7E
z&HxAoY-e$2+b;f#K=FfOv1)K-(bE^IbA{4gLm?OV$tIwR3o;SK;bQ_Uf7|c;1X4Mr
zITL{iYnj><x-SeJfoIr5=>PK(Xm(_~8}`cHD|o>1{W@!4UMH7V9d~j2%5HIqp@D$`
zd=mvq?n5!sUPU+(?jx_1OTTH`slc7lh7z*}i<ABNRifMIY78Ak!E<T3>|sRoTOi2y
zk@-6EVe{ab_tT{ybX*X^e*LP%p<1BTnX!M{JC<7kZUgS_>yqE{H}v;>)0H}e$v1ax
zJqyd!2LX(G3z<ql&j8W~JQ!S7fvQ9VoDgIJq^aCx{&uj*Ho!4t$>+H<-v(znsJ487
zF#=!*5oSON+i~X6<<{RH!T$;8D5x}{n-mbS6S`esHi%J~;8afE1b7Biov(|F>wlD#
zI=ewKR%^rVz%78uW`PZXxegZmOO;np`XsPT=|waD`|fMQWoY{9PaT_`ZLt~5gm>ex
zJB}InY-n1SQ+x)T3qlKa4yS~{;(xj5b$er#{@)#V^;($L*Re5*7wAb^pDnlclT!RO
z-v1<gcWsIe9}AZe-Wm8AOtQW;*9>^|JlI`cq%9~Y02~f|E#^z>qVCpFlQ#zswIKM^
z6Bt1<AR(G^R`-!K_$%?KoPz4}sEGKIX5UxM%|6f*3db>&1i&xxr@was(6O1~x~XEw
zGC)d?U!a4PmRa#DS0){0y5yWy4=5^FpE}K}Ad6}NtakiD&a|~)XasjBIJ+Qnw_#--
zsxOS7|Eu}#9k`(`g8rHxg~+yj)P3RNBDO!OEtd^`dnu_*QS!N?0e8HM7Y{e54q+?V
zn{^1@LsIXKxmzf2xo!BJANoC+uKGfX%*)V+f(7-!H@45Mv4zh-OhAi51h=tWBX9nV
zOBPSqw87EV{(FcHJqF1Jb+k1fmGQVp3`~k@g-?o-#g*eB2UXEhpK&mx<APdDF*Jk~
zRXe;j6p2~i+EOdfYAC;&pr}+lwJFgq;J8SKoBkN{7Ml3VE+pGRaGp}1X3>UtD`$Wz
z))VEsmA4+U<!ZBDLd`!gWLS$(DrHgZjLyE8`MK9W{!cRz2ahOEXF?wTA;|N!lvY6L
zU^iNnZVdf2UO?BqbC~f0)9jx83l>oJs6t#Nq^3^VUqX>aV4%QtT)5qXbc$x~C8Gv+
z=T2r15i$sbTy~Hh*V*}4_z%d6`0(F=g{|cV7;SyypL_)c#1p{O5XyroZuPu)TC&r`
zzyKEo#>!TJ`LQ2nNE3pc3>h(oc6eU3L5%F3U&+T|yJ9A~x`Hx}egvIAoI(fb83Ckr
z-k?O`U<HA{F>CvokYhp#DV*k3R#rBArEEAC+IeX6afZ_EZBRU)xzJN5?bok3Qo4Rj
zn9ngGl*XXG%=kI}afj=TE-#NvY)CYh@~W7-jTs2yyFP8Kq58qq9Lb{L6&gI0Kg!CV
zP>;VJ`X^Ds&Pxh&8uf^05%47MclN+pKyy1RN}s`mn+1NbRiab11E=v5N|iy=vIPV&
z83q~(5%L3b4<_xFkIW2nTDve#1M;q`OLRqabeBB40xjlT{`T=_&@-4oJ~W`+K%rR!
zuZf&Eh~VzIHx<MGJQgryL1J8)8y;qQ&j;e9RlexXAUmy*7&~~^Y-aN}Wnu<>vpgbW
z>DJNd@j~ECI5^rD;OGl9#wNS?1N*FqqJiTPbMTVt))kykvkkXf=rclJUox<oP}6B(
zuchnsER7cMXL1y=9FCYn$yT6Hq0$??V)FgWO+5W?8eire-%bWnzW1X5Glnz{5r?#(
zk~6w1+Bejw-CM#>Z*#$u0Q@0k+*1>AT}r6a1cMDY{^009pgiy`O>DX)S*4|>!i|Z7
zwYC=>wRGKR{H~ABDJ(u@JA`H$#KsP9^5z_z_nxu9QGJ^HP+bOBt&I(VS0lUBzkh@3
z5@Z5LkSPKt2Pa6Pg!O~%4+PD1XeoV_=0M$jC4;;?;Ge0i9Ym{GL2b{eEA?=4!}wns
zB-selJiJbZadZ5oZSSo~LH(#6(d(rvn{BTY8=Rs_N&+Oab3){@*>FQR!$nibi4*ek
z({#3W*8nAz8+Oi2cwoquu-4jt&(?Nrlq4OKN$u+gsZbPa_QmI1+43T(z!svfp{o~J
z=h`aXWPKqfa*@<&^*y!i`BiZW(K%jx(1cMAT^Wi?2p9;oFU&|NNog~TdekuyEA|UV
zJOElY7Q11OhE!R==p}$39Vt|YfkE!l`|KAZjX=51drY6fMzk?i3mEAQ{Yr-IHaR;<
z$5gkn5|i8Nb!xVMfKl=T-4RTBpd4w0o$nb`O71MQ*G@b40zB{9Q2U$pA1E0o$INuk
zk!(h+ccq1yVurRoPKVQqOW+Eg*kD?}wd$8d8HeAh9R0zTH%#F6VNsO==}LyCWt`ip
zSobb%l$0D~)Ik>n3}s(|ZOge622r4g+em?PlKTSh;4ZUVR9%r?%Kb#=kv!QwNs>n{
zn&+~*zoNYE0rWrMWz2jt6TSFQ4od*_+%*8L--6laR`Z&S|DxdT5M~9;@82|YaeiJn
z4Sy-8BG7;56P7XESAha0u*0LLPfHX7*N6Td7-BWArM4h!G*eJWi%h|F-t&8V9r#%R
z!3RPXwB1p^TtQ95n>n=aI{!W({W^TR;4d^wfwwSgm9&u8SBltrAl(x-C10>Fg1z=u
zL5=&h6aM0#0e^vkU}9=4Ij`$B{jId)mR4vC2|f5Ts863hH9b{)r92=<?j^Qvl(6R#
zR%Yd*NiI$YjGOJwI%yC6PIt%b{J1w!yw=y**)2HU{)p{I#2!sJ9!=cXu+^KJBop)4
zF`Zo@fk6uxq_VONU>TpuM<hoH4W{aAz-|U`k@mGl5Cf#>eAIt{<CWOL|7GxvjFl9Y
ze@n%M614Y|whJ+#89kQNFiTrmY+lyoAjI*=uJ=FYE{#$tW&{2apr;_$9FUukN((`X
zcP{xcot*H@=g*(L^H>z+C=U58h0=i9FIzu`;FBt#X}ibIn!7+-^h8S&@)d9qqx*&p
z)){`+Z9wePlVMp1&&)X%o?93_nFc@ir296c49q@xZ)<V^xdY)C7a;(%M5#-xnLcSe
z`qfWr^yGS_$fl;jp2(!s#6fmDHG;mM<z6-S+sf(tkNSLR(1&c#4*NuT9ye{(G6D%H
zozr|><z_Kn+~=A6lC&tC4=G$uKEo`Kbi2}TVMEyo(j!`tYLGm^Q)_5AmT~=^p;q|O
ze1Tyx_c|BtJ<n3I7=H&V(h#8;{R^iB2|?x;A{Oh~IE_OGe8dJJ)EoZqUq7Bj+Ne7Z
zW-f69+XDBKX=@B1WsDkJieK3x^n0C?#rF0l*q5;BJWSg|2|B~%FdAV>f>hAC2~xr^
zq(CBT@FqJmFZGApkaG@9ADofvg%6B?Q1d%m@jDnTG=d`&o+=uu72@YlM9$xLosU48
zCV0Uh@=W|pYF6$)Ex<k4ru8cB6QB^c&Y)bL!#NOYY71<!w@#Vd#M?JH)Q0YXZ>y{V
z`=8tQ4&_glG5@7!F|LVTNAdg{BW_y2)<To;6&Hv%L3~x#jgt^KIpbi_@-?MjDDKbX
z3cl`qFaIp8s*|T)FRtVa-Qe?ZHO;H3LFpK%$peB-kgI+Nt|zYq6}1}L{Pc6gSlKRF
zl389C)9&kfBfXXCiH*Ug%Uft{OO(+HNjs)iy;<EL?1%huNEQ`#oP``WemEdiM?k?_
zCEQd<^apWMLO$;HM3n`+o1kEUi+@f|fL4R^vQi$w2^EqS3?`l^hn-WER`mCfD~pIB
zkgRZ+5#=DC>JK=qkz~``6|m{M1JPst5iiL~KAL)Y-wR4ZK@nY20)G_LLneb}pg@Bp
zpLV!moI{WT#pTOn(g-LGtJ9a^ruT6xS!ro$^!d`}j@es7Z$inx_hI(1e(NBI=Zht)
zYiYj-l$4mcsLGrtPv<>bnwtK|cz)C?b=9KSt-77c8q?z4PYkTVUIz%tlyr4Nst#jj
z34))q><j%)d-QIC3Tp>&a5`});=A7=OD>BBrhoEgkVwzHj>kVEC;y}aMR(m33>}}z
z2cN-vY2&OJ{EPJeCrRd5`DqR9Jp_Uw2SRvm9k{D~36anVP+34l^)I+YD8{?MM2m!~
zz#h1EzJyMH4$1SsU^H`>diNT}@#11d@{c_USLZ;T4vN3K+hH6q|AFWZ5^GFgKZoF%
zCnzM+A1EM<Ud_yI7`}nY#6}?jHXt+<m~KbVJmQAz?&?3Vw6O~am5X-@5_ialGveb%
z?Jll|`bdXsc_DY2Fg}hQHpOi$ol&$5YwDMpj{MbTNOW`~=oW)6xsy8I(?vsRG*eRF
zpn3!sVVbf9kZZ0t^jQ8?PG=1!_gmBa5k;rQrV9PUeR0{drKkvk*}TQ*jId(4br2fS
z?{wVn`u!#kSS#(~NjV`t^CX{SIl$!BWBE&;Gh=eYxjwX<=sLVbdt;U=J|lY6crK}2
zQ7}k_Y9xMgQoXyU_0Y<|VDfP+2@W*!=teqQIzCaz#*Gkm;i<~TA+{+Nd&B}G>*R^4
zKbc$7)!_H0>goFfvzIZ<0Q*>YtREi(BzdoSDlt=)OrQ=Yt#V;6Oi`+;{ShTkm|f0>
z1^N}nZyJ6wo&eBjRT&2Mx$R^tgSpd}RjgP;uAiaa*PFX38d;s(ERZ2(Wl)|0mMC(3
zlz;LKv<q&r&AGWu>Vo?Vrb21(9<WBfUUQ*ln4TZMs>_QqeIo)GbySN(sKv$awrq~X
zj=8qN_XoVfHI(k;XozMc^(lTED!zk_<&tQ}=km%>g*TI~AWuHF)6Q-6!fxU1(;kSD
zPT^Sq%_!|w6}||JoX652V6n5)a`&<8W#5uXx+`G%vaUPi_ObheV+^G=2BF!%FA_>P
zLoKWw9A1(9A5&lb6mxuQ7)__VLa0d&-(+IHHQ1bOi#vIu`mNV#BJaJ{i&?~o|IT>*
zj#?tSUC?|!XXly=;f(PAVeGx5x$fit;kTK+3E9~sv+V4Q>=hx&PO|ro$jr{(*@Pr3
zn<P7xWQDBC&aCd|yX*V?o%1{QANTE#>s;qLE<WDl^?JS@6Dw3soI&e3`Af1-m}?H=
zC2B2B>WSis>^xKi@H&&u(vnHuBVm>e7+~}cS116|mk0^^dpb{g7&U_X@3TTOSj*;Q
z_swVAer<e373b9}L^#BP_Z@srl+uShX)4xPP?U}*oD9|1EtgYxYXMkUtg!)#2`=70
zfkD9x>g@eCR9RN?FDJE_CJOB#DN0dP+WaG2KIscK+2Njn<-eKu1Pw}iwWKcI|Mrv)
z%g5smsHTAhTM`F2#T8wO{-!QprY)uHgjgLp79IG~)g2$b0|rbG?O>r9Lpk5p$RuMR
zFq1Pmtm6DH;3;=1EU1QG{P@GKrxWtu%%KGsrCO3`gvXD)#!bISEhPmpN?lGPa(TfE
z?JJRM6N8YEV3>ASO!sG2&**Lyd#S{8wIn4T#+ExQ9v^_<SmC>w`1?KP5t<hA_jkwN
zCjUd{r5^H&DzG-nz*!?<w?+rTL%|m-iv-|Yt6mF88MH<^({y+L$T!$nBbBa1|4w0#
zsm`CDak|nf1GygDsfZjITuH;5H^qyU!B|z2f|=YA%X9}pxOHOZ$R%rY6p#+k{{E){
z$-Q(vfvFw9hdcn3(C85qQx97N)gJBqOjYh*U&=~dOr^;eZT{$iZ+}Xj$B-&Q@2#uZ
z+|w_Pjr2VJ6&1on?p~QqLPYLWlIE`m@zgOq5aN-<i4eSkNs%$+bxDa0pi(V0lnOBE
zT@5^e!nj@3OT9K;#0&ywR6hrjLNoA7D@q!LKT6rTs%^V>E!pS>5l(dQ9t!=}LPtD2
zcG65&b5AK101^JjNe%k94SM_{(83Sv6eQA7=g6m1cy~K9dCZV;g1<))kn<{Hd{)sl
z+!HAqNV+IDAV8p3y9E3`v={zvLjyT5(=8y-QY;uVG&V<Z9}w1%OsSI7TNzcRk|hc5
z(I@|uB4utM=ojh{5=EybVo+8u?j8TSQb`qsY0J{9BtoRbW!T5Z%M0}*+a%gl%JO8i
z@r$Cm__i5rIZ*?`cI70dSA|OY*fdPw@!F23WcA?0%^ckWg9>IRsG$78)Msh(3tsAV
za7n4FtHVAGUhpfhPqX(Z*{{{{Z@M*$roHgJFS%FZdsLi3C^7uKkMhy)2O{Wwe-yz#
zB%AjjPg^6go27h{Q*2g;k=@f(Z(>XV_{6y8nmbB(JeMzDu1^Wm`XpNWlDs5BS5p25
z%Uj(?agVjWf>6eKtN#G6U~fbY>j*$bj815b`RM%-y(Qp7P5`7kM{6|e>H`?99!kiC
zj}!tBzPB<-Vf)i1qhZMA@pSle^X>D~fe~J>d;$Qkn~$$WcbOC3wT+F>GgX{j$>9no
zeYfnBFuWPmK~n(n-}z>$9}gyLko!>bs;>Ud($G^=`{@go(kA>D$>%AqG?lx6a7poV
z1XCc+KL$qj&(YE%)0^!z|5Lj~O5ri86AwvZglpr%Rk!6gKW3V42OdnFBV{s!;0Q2=
z1cMfj^fN8F<gJ@&;8M6x*$2q`GlTixbco>jxbxyLzZ3oa_KyZI+40H7RC`#uRU_(Y
zS^&L*4sbY&{Zg(`IteHDj2n)bDyaK*#SIL3`W3W!gVvCw7obZRLKniCFB}fqU7}l7
z<o+KERqQ`i->hQ;>oef90>I|}NM?}qu!jRLT)96Guv9c&28RP_-(56f4-&)wey2*1
zKE<W)Y&ENaya$2^Ee|<m<vw@<APT(#>l_KcMH`qt<AGdyg8O)E`mS(BMP((2nmT8)
zx-NN-U?KPCA6`zc!r+Mvw9$nzXDW1(RXacnPq#c{B84A{mySh8n2B%!PNYARBrDX7
z4;hhj)H8h6+UnmMMUGWluz7fTc%@Q}TT7w#O&$)RNAPEgg;yWYq(HF>`PCe1KBJ?6
z*YKufdm$bEhd*I-{B(4Uwb!vxg)I^6bWpQ8cMKkp7SN+*4PWtDk})RQKj#B0D>4==
zET^V62xcKJt?V*~&uEW5cum~MaHGat$gqJ5Nl8foC7}cZ39Lo%5GyUlyaS^X=zGCU
z-DkDqW2U=2w>JYKFwoM#5&^3dlzYCh7XF<Lj4}8i1A{VIO3Zbb*^0ufZ#;b;^!;kE
zhu|#4&UD6}SPS#0B`H+#=sn&0z(I^d=LowpQ$pTX&7wUx6qg%Rw6;po#K4OErH3vc
z8loZ7AYAkQbUjCo7UYEj7&fLzTF2iCCwny5sYj-hRcMUv2<(ja=U@MZY_?VKR-H;z
zf$j^g03b#8WWm@A?jxdpynk>Q8NF6GS^UyXULmE)P=K64PMG^4l#BqI+x2`g^iaUo
z#~s~esWbUPk%&-*iZLdE5Z7G5*w@#09@}5t0VoyOJerG!6ahlF%EHDpE50m%EfOMQ
z^Ya&qAKoa@1F4V(gYThj*Ytw+t64SJE>H6CJpRDjCj6S(|7BF+O(P>OR!#K;CYcks
zcI_AVppXwOUa03sd6(blJ%i~Sh<(>^#XCS{Ld5vF5P0IC)S&wBMH!}1IME2Sey<l{
zq(>JRkg?%L!sPh0aRfM~n7)>;qLspQ5g07aLW>I%btxP095K$$X78WsITSif7k*Xx
zv35gkx`R$%lpb2>0#_$E)RJsWFk-NcFp{p|eYP*9?q;yYP!02g#Xyvv@eN*_j;2)C
zSvIcOsL)!s3eSCKXE4h7oiLtjt$TA;XzVk6WB#qmyrkd$8q$%YH3Pcf;Q!*;D(mYf
z-Z-@XFQX)jGDz&<M**_PQwZRdaE2N&nSr&I*I@2=0Q{6itua|RzyVOZI?P=)*R!;<
zd_M;5dBTtbB;fx2;pvji6A0is1U!f4{CUDK9Se(~DMRCGvu0r~O<NXYW&y06&<@mM
zsF?++r+*FsQ@(fm)b#H;(Eg%v2Y=3vL1rm4iNS_$6|ACPK%UBJ^hj2gVZq?m_5M`7
zOY}CHu}0P;QxY>dVa1;hqMl5=3*W|^;<%DS(|Us{YWY%1PK|a}7AI#iT)2j5endy1
zZC{Wu+EU8st%W)bUoQn$3HBQ#IWMm72hlR=xJe;KL>u8koZ26!D;hj2zH`n^ODA1>
zrrcCeUlI1_LliIbgOjgWrBb?M6OGj+EB9z(Y}Q)v=U}z~0s=I106RdWkK=;}^8o$9
zokt51{0<zKo&p3I05cnkPwADvKRe#@KM_q}l=^T4uu1d!vn&89@Q}W~KH#XNJl4ig
z@gPb;gP<Fw_)eJ>N4;xjowwR$Qq|F%M=%ZGBJked$d!gpF?iN~pbJR<)z`YWZ(rj!
zW_AR11coK>2UyoW**3KQ{xzfW<7BZO66erFInXPCISR&n@J=nE5uMq!Z2vu+Tz#$#
zL-ks+$rMo;sd^Qvp*J<_leHgLaZ0fd4+@4mvb_;V6w3HiHPYm58m81ZEjpepaA{`#
zi*=lm8>WwXIscGRrj?Ux++B|NBBDDUZ|mgcC#S8`vRPQRhOFvtR9JZ(FVQ7&sab^d
z!u0Fd_-n3g(+>z!QTqGa!F3_QdWN8R+}LpZp6f4Ln1cIIp6z~Z`I#Pg+;M(6o2*D(
zoOvkk?dy9?MvTU<27-qZSg~<RWzdbg1AK}SMvx!_5Hc15?h8~K3G1eQ`FllD8Br)*
z%ufCS`!SHRRkgLj5EU2u&RJQP$!8%HWijCRCkepR-x&2jTYvw6j~v9rW@cafPZNUn
zi%^%@t5-+hj}=qFL?HGI{>@YT^-X`bM{u<jZ$>2Dp@oIptdifT+SGF;)%Z17Y+GuK
zjf|LJCV<{jkXq|P-$~jII*Y@AV9b^XDUi1gda1HH>nvi->=WNfUwj&6rGFPwBMMiJ
z!_re7LynTJuP0*}VJ5)}aeS%s2;_VcCi|SpJgMrgFQcrNM7%7>HF-zh7V`X9pdPob
zYjhWt=p59`8t!+^M${6&eN){NW!;zs7s=1Z8a%LkKniI>p4yWM!E)lRGH!$Kzhamf
zZ(J1<<B4{AmM7-%!KT5)(D44Zl+G2kFWchX$denKk<JL5pwWz0KRcKIi!{QL=mGrk
zW0eU&5?7o)jWq~lExlS9N{8|0G8F+zul{a314|UJBLfKBDW<h{fI;rS5tXQ?4X%#N
zxD*15DcZ9F^u<HBgNB7}r;BxP+dv8%qjv(LLC8tmT<CfTG-NJp_5id(Er{foBE|m}
zQo14~GX?LLC9}k{7wN5vE?5<ja`GitNDMtU;eAWMA?Hy0O1YsyE<~dg2_aL^<WzUi
zLLL+kY_>hyxoyFu9c8^3GDYy?1i=DZKO7(d<q?=zEUuQ;ba}GkFd;ufnD41hd<*16
zt<e_zG#cy_c}JS$dRdP!sj=g>DO{CQH6Ok5Von6KpDv&qcpIixynsJ8=Q)jROd#fl
zmGL3F8tPR+jk1tRIslQjV1QrO*OtLSpp1g<%@AakDyy%<c&Y-Y#fEz*{y#P<{KHc4
zpIkR<7<JFL1ElM}<p+2Y#=?d9BNgq{X8DejX;%WC{nf<zvu{^3pFyaPCMubUy97Kg
zn$-#X9JnD-6|K43AV-gs!oT&?gGtDWiO~mP!KRwUMvSgtA@r>DWCTdQh{4B%f$bF5
z6r`vEkwa(=ZD={|sQuvJ9R8w5nM#7^q2}MO!_6b|G(K^OPeU&oznu92zll@7vV!x%
znQPIH*<#*DHkxn~C44(TFWgnjrRp&M?H4|X%t3tpc4(;X!P#-&k>C2s<JXQ#AMvG9
za7fUV5pWxz!(X>TJcir|^fn;~oRrq3_JCW(K>{@<>8$EL!HW&F33zU2n^-@?W`(g(
zT=GHtbi-~KhqjaJU!E`{f+k<?&&k4`hC2EopXF@e+MoY}VvFDXX}S<KfZJ7E9EKqD
zVjKM!SSfl6+}rtlGVb50<VsU)FgmFcLTjcOMzSYC`6*l%tJ>DapvB4kT#|Ox057Dc
z{|)<WYtNaQ1Ou8M4iP0@rG}{T8v>loYF;yb2Rasq?P24V8n>YEO%IuzVcSbIL!Gq%
zQnTQNKe6st=h=^&Or|3&c{k>1M2L+Ed9d(2!4A<1OY=Z1-QA`clQaMvD!>J>P)G#D
zK&Zt^<1n>p#FQ=ZDJ<BaBS-bxP#8GubY+!+EMWky#L!3Wtqr?LoFk?Cu-HvIeSjvl
zpyL&ZR=8fo2>f3R@vi910qYHE$@?<uYXzA6PM@uXh4NjWVCK`AzvtP`?5CW5caJK{
zTtDJQ<{B09>4i#2Sz*SYEkEOrCEBk$K5kmhy;HVbPK~B9*_^eSm+Q-wuT0&$SmNB}
zSSLg@dG*&%<{m+4tO98q(Cjcnz#t&=@R>tO_V&B}7t$|tq_$ib>>5pNB1lyT-Mw_*
zdW37pXRo-e@VJX}!|H5@Jps|<y<n5}&t)KX`8jL(UdJEG<ks*Z$LL!dd&Z3*$OSn;
ztJR=c6VA2Emu@+yluJ3BZ=Za1V&a8?yA7um><}0ZUZ;x0r4r=@|2Y;UBK-Gv=NMa?
z{5t&&Q%DCXlk_Lx>|^?}Uo^g>Km1Hb`G&3cu>gmm$hl1YM0`VYFHl&wdgjDjZ&os0
zd%MvxRLmV;biH4Hcxh)pjt_LA>6djUTUhY4N+%(I67c#ST^$|EhUxby-&Qmp*^_`>
z=#eA#uJ%?Ih+LD`F>icqUr0?$6Hcr3^h$q;%U55IholJaq%7&&yRQPXLRtY|p)<A>
z)Dgd(&h^GTP^u;vNMI&K;O(VdP=-wlwkkMHZ)pNF1?L>e@ukP$b|PASQR;Wlu!Tvq
za4``N*$?c*M^qBJAO^VYG63(@t?6*c0SWSdWU>Tbjux||$C``rT~++vSC+A)<?&U0
z)O*6OC5^8)-nvxBHx)0gXv4{KQ|$Q=P353%lemu&w<@Jw>$_eY6~lhMX?%WtQ`67-
z-&&f&!Z07*DRx#KwnrmNL3@*NBb<z<!rlaglB@&^)kb^>HS3)Bc|zfH4rw;0-&l*>
z^QN6@%FFLm8>=jDF*wmpx>!$?YEoumiJ5$(&+`5mMSf9>N+M6<E@op<QPH7_T2d_U
ze&7H;0x^?zr=an`XNA35T9?BALB<VRhzdsglVIlto8ex6$RmKbnGiVHe+hQq*Kav_
z{t8y|ivv6l8cCOKsT)qUm7M2L+xXdclM~HgVGV!nD5`nS+4<+Y7x)4r78gy`aqg8b
z(BEk^&a9rZF1ciS*Wtp-_lo+64&6LPUE9k|#;N#I(*k1aqmJ_3wm!Ax);Dy=siBi>
zY6{dUm-zYLT@Z6+fC=IIiiX~OJx=a>bmqyP93>@E#ZIa`RO*0XJmUTWaZt&XCKrfZ
zwoCA$F{adJIE~4ngqZ51vR&w~EkN^pJUmd`>+-A8XJBgNt1tX?fQzK3sOd_rVT?hZ
z|G&7GkB62QCH!FNkeGo3;VX}IJ<Ulli?#yXG8cCNkZWd`XNWIcp=AaY?*DC7f>-2(
zZU&N{QBS@3N2qB03scmAQ-Ts3Sh4LNJh(PhNt#Y5$k$)?7WCuu<|;)bOU<_PphMdq
z;TjhuzKa?S06ofg5wEJ?wY&P*qUO*mMxRPa_Cq#3Yji|}7HG2A*&FyT#PktR;MDU|
zDk$lCG@D^%NElN^tolaw6ogajf2NA}q@QUIz_(lB<>RaVAg%ljH)6^WE@`$x>#yVZ
zx3P+tgeBn@lT?fJD>`9FWF{$ahp|*yS=sJ5#;1q)su?VD@S33JadY#WS?34#_W3C_
zX3cH@i%Fcj3_v*GD?nNOg~1%|&<(t1u-3%+?m};6-_j0BHo?OLx;>BrW<G=Dj=Prv
zwYh$QoZoq_jShj_UAVHJyrt1#TPSKB-&+J?5HuO!QyK<|!ZWBlfYq*{p`o!6JYSH)
z{F3XsZ3rA_&RZf6uoqR>0!i*JJvIvDH-XN&Bn}y7CUF-_ILj-FsQkAR|AgZNtAr)r
zpng>rHEq|(EdvcTHMOm^&ns>@diMoQ(jc;p@^QFO-#~p8yBdyJLC>P##5Y0$0$lOK
znu>~=O@@J-4YNQsHT=;%{+R-YLEK;lgws$soUCaEb#Zz;{;;OdSN|QvQ%nKdU7!<S
zmT>F+;e}=!092b-_e5d<Qq5s|Mav$6doNO*j=MT%|NZ|TGqah&q>b8<Dz-S>Hs=1n
z{YWyA#M>J^5&I(quLRrRPQYjmk!G-hl*Z4Z?APDlhqoa^97wP^wb4n+PBhXF-RyLT
z&;PfI-z8xXA4_!fd>`%m@RO5jU8xKlUfM5up$Co>z1&sp&r;?|#qi=_PgM6RiSrFT
zje4ddR-zl1X37Vri*pmFkU?!J_-S_bzIE<D$?L~WPf7QzshoXjC|$i74F$);woBqa
zi)#Usj1kEUg*10`i~#c=XwD>aWXBsqKtB5CMvYqqY(u<wVeD$maAncdiMdvoWk?Wc
z(Vm`WAeHQRQ_nzzyR`GFkUN}Ap3F=j{o|(0`fV%p&YKJ3v09!D4fssXP|gh1GvHx^
z3uDx)a>~@qETHhaw|e>f7HRP<-_pVFD;=-!B0NgpCps;jnSs>iFXcjXp{SS`7%~?=
z8ZLMWX2{vH2$l1$?D)VT99K4YL@-wOBq(IyV)&!+^>f=OQr1Np1jVC%6BkF_kOvLZ
zHSNDXLvWD|D3RL#p_Ayj5OIMcd(QAq{+=p7%{>PPUGG43MBK0xdxAf?-9CVwf(|?+
z^ZnuI$lbz%ABLz^*oq}f+&<^27P&N)2v6zg>dZ{lhMa*F|HV;ZQCXf0em=gTTjxfe
z{<Kv#+IPF{rzF>D_U@kBl^iWF$Notl144UCG9|H#hKqxqA*<#*OY_HhS)6X^(epIl
zUSeFwGe@*ULgwKi0TE4XrVB7J@5^)*jV+f%&p>{OlAWM@K>=qJ)8`+8TxcNVO(tK!
zi|BQ-zuqGw=OOUcS~#fV_TQuVh`LxV*1Aj*gkr#}<goWr0A&d<vf`u(a61C2fxmfB
zSS<C$rt%H(LTd3d8_zC*sKPStX!xU6C-sU2ahM2V$)CiK&8}{-6f2U2ziyw0jA&Jo
zr!mK`lb6HE=DH#jLcc1xUc(6Br-33{-Z~FOj(tB|meA@fgRQ-*bx!F6OI?ST@XUSS
zj|zs|FAg=Zm7oXJOQ1`ssZP$ga{n`E&QZ=5dRfjV$exrzF&J=9hK(;@{({&zx}W0(
z?grPdNB-LB&|u@yR@j*4<~CIp9N%c<qUN9_0&s<N=^t9=;YCG76|TT~siyQZ$M{g4
zG!|lTPNK$E(XBuS+`9w_u;Bh#Q&c`l%NmojCSNfve;u1D3yob3xq3n;^6ZS~C%?8|
z{9ue8eVhuwNl8BW+DRP*Vc1@p8l1@xN_u^*+dUJbt?udB_;u#r34f0g<QYfvn}O<p
zvZrkrxn03t0`NINqJ-xK+F*FuIZyXi!*I%4c(A;Mi)ZCKn_P6^`q9r(E8{3si9`G4
zHp~BN0f3>x34a1i%@`-xXx=be-oVBir)ETA*Jgb*GE~_S)o7oSTvkGo3yV-;R#72A
z9GjromY4tJMU5`9CgoeR=_k$rV^A794^2#ld}4V7MKaO1?2Cq07^?K;^>_t@?;LQq
z>uwSu=zAc~_>QF&{B!6MzsQ6md5t!B`CWbHVQqQ-24|c)P)dDiyztDA8Dk8%f<PKS
zLcyxZ=etaZ90c+B%4Xc4Z!U{2wC|jtY%4M<lXFl{D$YjcoUZsECn-rf)i2+&%qy{Y
zU0k{wUr_;l+Ypzgz^bgP=k$*KskJ=km0=9c0O6eQZmO=8pLl_W*|x}SJ-x4or$R~c
z=V{%(K8rqYIiQTL7zZ(AdN<K8Rh}P^Oun(9XLyjzIsHkhoR=X^#YFs$SLu#c^Ojl5
z<T?>HrrwQ}@BDlL4z-!%%TK$bV#f&t7)ZdWXP@aMPIEV-Odw<!qb1)p{EbkBMyy;5
z3x=c%-BDpd4!*EUTR)S+8m4<@>ZRB}2h0#qmrsIQaOduO*C$8Pq}>>Dcj=~jp~;W5
zn(XB7_gUWngOz6S?Nu4Ok#`v~Fr3w2W|w2B!X!|a+r)gs_9~3ea8vJ|Zmq?EU3E20
zuivfaARVXLl$LxWof>850#hZg(C5WUn5<6%g_GaC9-RgXlHsoK<2%B40$&H)%r(ex
zJ<0GLIek4EL#A+^6-u$1W=OB#wPsDs7Qeyovq);H)pc)EEWu5nIKxlSQ!O<z+M0j`
z5W3PuK3HmqZhTX+0F)-V&{^OUy%=8usBr8vogwna!9jvQDl*kkzIxH4LN#}!#5Oyu
z)77j+g^gFB%Fe*Fm4spE0XIQZIXknmu4Ilg5)7rF4eW#1f1uv^3M~<cEl6-5mJ`E&
zR46w9+rynTBrBh-NPkovxhaQ%u90}kMY^rCLC<yFlI4S*_sjKAdSVkf>n)@U&tO)W
zNRI#JZd@)5{kZNSnv?I(A|f(rRcFmzMb5QaOX{Bxc}Bb#l`JA+GCe(Q+mNv&4p!q!
z3i<X=$_yqJzP{s??{kr4to`7FPp+JZX!CW4CFxL%s<HyE$)Z`oY%W)2#Fv(TeJw0y
znb`|SgBH(CP;8b$-2B1E+cAYtKR+jv+=K5Ct7)6AA}s3|UF5)I#C<v2$;%mg<5dbD
zIwlJ^K{QN-E|CJ~Ij3|@Asdov9Uj&vBym*P6&JMS-iJ*hzjSd7v{xSBvjRV*_=t!u
z(>(V9|HwG?@`aelm3Uxk%G!cjXMWHq3)zk=Pto(z;2?=I2P|@yCTd+{qB#W@X&7sD
zlnfR$A~_p8_{|*|Zn1zj?rb7#EP{7XVjI+R2m&=?Tl2wyqtO#Rf>0=d1BtIdfoBJV
z;N|eB6pcd(jR51gj!E@b>?@qA;o%0N+WOJ>7hytbAq_?0p)s7x3?x``R4p~Q=MXC8
z$FYM|hps`T6k*bW6l6F`_?=JLl%1Vxj4FSuyyG7N3nb?kpp9Nrmpru~ov)_i3Z=R&
zs%1^fwhc=mv{6wSZYafZzN-iC+f}G3J@XA834w<SxD+^-d!HTc*l{4xEe$EZ_wIp0
zJ=kNlf$6?FdqyWXPQ8QH!D%LYoA;~yniK5R6ZWEBjgkx`?g+%Ts7-Fd(|PmdrlR-1
z0fA_lW11uBl@3XPVVrDFc$cGEl6X88l4(nX`w+quwCS4lmu@-WAW`ZZh>nn&wKm5#
z1*@}~m9lQpxGI5qUK-e0o}{Hc>iIVAYYo#dQ^G2AVZd*doT)4B&uA`Ur#yn5cJ@YB
z7LRyANX2^?y7cNMzX~v22Kc4WU<F2EHda#M5_vMpK=)@M7tB>}@zW#^vZE7^sODkE
zM)ldj!)*rc)NHNV?OSx(*L(dcas?8LJrua3DI^{f62xY9eP_(^2JrjC*q9*b5(#-i
zuVHzoSYvj8H0OPP=$J&r9ol9A)I}XG;AUD)(^;A%&9E+6kQ34yMv5#aZS6$<kskGL
zpM&sGyfA>v*FA`OplJ%A79DN~|Ao@7BB5*7I!Z14s*R++Y|5-1?9$(V|Mc00y<J#X
z1*5pgMRK;$=u&LSPc-oI^V1O8ZgI2fQc1)^OIydZg<#T+|FqU*EwoQ>JQGs>ac;w$
z!9GZw(qclbTGYj_UC4s_dJ;QyzJ2(>8EtjFO4C_1goi%vLnEI!hL0NgV{)9nR6DU5
zr<dSH1h3l>owDw}k2H{+^l^Y$XHwF}Jra3_Lr9?3Ubf%FjTxr2lLE0u)X&5lg!yD-
z%xnB3b?idrIu~8AF)@xgG$$d^0hl<E<2^>%%KyO4vg<@W%iq4m^At}MKNGdrdw8AW
z_{GAzCmW&*jK+l<W>F)~O-%rvUB7Sf(mbnr;#<8s<*dM`??R>QZiXY@+kf;$wkeYO
zYcyRotuTEGnAOP%#3>?Bh6nb(7myCWsW>t#7J5P=Ik0+1>wUQvgE7R=#)v%|jC_*$
zt3o79g)lkGj{EH>`gP5}<AO(g{mc(8?c6U*d&ZP4>eVvu9RCax&U}^vMe|BwEY>Py
zTLnTUCIG3+7@Tx;bjH9VM?!6oZysndvdAV-cn=QF9P{haZ*NicL1;cI`nGK_DbZV5
zT}3s}Amo-Y_lA=#C<=kSG_Cgf+WQy;4Z0PDsh%Dls67FWb^4W4j*XJnt_4F@(&g7j
zg>4mnw|{aQp3Govc}Rjwr#<lW7yPju^R*v0W1^$s^PpaY<iV6Avi}%G$(V`BNf21A
z)8vvGiJf2|?6ih*4vi;gXJ<Z#{^AT?AjX-i88qa5ee2-Ty8&rli)bEdzuPJ-8~COO
z3p?*Utk3c-wvn}lHch1^B|=2{w{HhO&rJxCRhaPAnFuF6$M`6Jn1SRaHs*^k+>kB@
zl~i?`MpI8ob8S934v1!AA%l7)Bww#w>(Ir6>7Os~_pN+|=3}9|nO{_~LmQh6ea(Qg
zA1hEiSJOX<>QfyiIpb84v$CWd-<Lrc6^K3{49s`)Lp2=RpB&N&Tfc#l>;@p_ECs~@
zTK4%Y?(|9UIMPKtVCYg4*g-ImDx*zMLc{6=zLx_u{t|roaECn8W6-)B<Bk(UKR-WU
zO*J%zfO>0yULvrQ0ABs#?>J@%loDJE3IIe>ube?P;FVVCz5DlP!KDW19kgUQR~wxc
zd8a5S1udjw|LbA@1%o+9Ky=Z#JtRCq8sBdEZ^A7nNst%7XTY$8kB)|1O_QL}6OhWI
zS;&3z`wv8^qxJ>K9Ic{pk2x@Ruas4r=9C-IYp?Vtv4f<u)!5^a*gC6=_st6Fk~R;=
z%A~I<B~!Nd&hAF8;)gw7z4?aJgmw3!te^@(#^4S`!;{q15>Vip-rv%g^yE_01FE=Z
zkxaR+LKizk7YEY$03QKxp<|9o@*}(y`*PwG+}vM1%|FV%7rh#X?^6xB($9_gif%2J
z-@SyS68VR?P?sR|=k`6|)qv&&(Bac7*CkMLejT8prWO+wWq@NoP$cGBr)cXF=o1C_
z_|SS2VQ4`?pm_t5L3{wnAGY1AyE_06;fl<P&9Z&wALzu|0cGM_N^IG)?H)AtaP?Tg
z_=e=?bkNtp5z`a246v083kxr+<c&7LeFjdofAYZMCwD{=v%=rMf9C)CL&((f_gSYa
zko#@}$Pq-ah-D2UWCRgVR<VD!H(JWC7e2NQf`QG0w+C*^buzI0l5LPeA(P5oBO@c&
z3}JssYR8h}rou!bex1J7Y!+x|(W7|6tx5jGBYLa#wG|sBH7zo@dGM&`4#|7-dT(SQ
zs-Mf|<I75D7rn_}ng#zeY<{5L?!vvJo!oWKL^i3tb=)Q20#bq?+)vH>TY<YiJH=y_
zBI(MXx$xb+R>wvuxE{Z^(0+8Vk>oHFq2<W{MIa$4gApjv16K<4*yZE)kSloE4kBs=
z-+>Vf^=*xh*FgoFKqS$HE8ijUDn@(jHn?Q5NTm^!u~Jie0YV3ykkhS>Yw)W=x-4J8
zd1UmgY>)l=2;ewZcSFL#Iq@4!6$FNLsp*p11ngP4P}GP%`2Zn7-yWDcRZZIP3Yagd
z>D{`OHMuU`7|su>uhh3t1<@|sbxQ)>#7?xy!Yu{4@vLGK^w|0YOVa|9+41obL!ziK
z5FCy_+v1qvUww0*tuq_FIkiYx^VDlS^H}ikZMOimL4M-y6E>z4mf$;F>#Tyz_D&49
z7TjBB#kUR=x?LHNs4B@tBi(XL1qcklh-0OXa|V;q)?7PS6L+hKJLX9d2y|H+T7>M;
z$LwmbZt`8a^rPMZm~#LtnzNm}oY5m^Yb=K^R05*#73h108rn|js?8j%!03k3?1x<5
zb~iiH5-$Lv25<C=jmTF#R%3I|DR4bPjt{s7(ONtZsc_*WvW1_>B^85W9Q&dCC;v~h
z-%_$!FtMj@sFsv5Lmc3@uaTl~MN-`UCHWow{u4sxK3&8q!x~;T<yfMphF2hm{e=55
zf?N)|hNN+Zg}G3Ku&YI8anwcD)lrNgW5>+_^RUz#h(*i3S(2Y_Hb+X*mkq^oEvHG&
zoI~{NVabEt#2=orLrtyHhRb$k6&08vAhQ9bzt=S6aU=Q7&CMGAhvnbkE*f!D{S&@h
z01Ngz_7^0~n1MVPaGc!aWcOLmkD9<L!Y+bNaYH|f&64oX;P1z<1aFgh{h>H4YY?`L
zLT0<Ucm*Oo&Q0eY%1_l)1Vko~zrH}VN_;B%_FH@8E#!sieQk{qRHU%x0r1S1FW<dd
zNyXHaCMphsSk)z>RI$=oBe3N`m_+rsf?KO^k~JiMJMd#!s;90J6^CiHQNp`Ob4`VA
z4IPSeIW!s9E<qwKwj{ylpCYpomcBYFY*0Z`mp_Z6C{SJ&r9$CcQb_(psU(Rpzp|;Z
z5pLqp*5S47PAmZS=AW=C?)%ATP6B=j!5WFz&z*563}7LEmbr1xn;(vIgXcnnP;(OY
zXRlWCpITdXF920-_1+2sVFHl2DBKL{8$=FFKJc2MC6TYc7!YtAH#s)VV6e!ZUSsvG
z9JbZ?NdZzsj#?SQ(~7;B-}CTZB9?f4!tHkkUiXZ|#%5<{H&C;}li=|uiJgZG4<uv0
z*bwRn!;yeKSAy<2GGWY=ByqOb%+kL2ka;3q$g{{S6Q*4X-Es5NGC&Xv9{rWKRx=GR
zx>%2KWBR_jh~FH%z+xLx)BG~?NM%J|#xv_6Y}FT}pM`9*BRrIH_?>q#gIQsS<sZ^3
zAX_?g^;1l*-uU%vkxGa@4$I>JMADsGhofM6)DAw;U;QQft9@ws?*>{k3T*<XK2eZF
za{2Ps7dE`GfN_id(LAFUpydEZFKDPiuQdx&G7w$qnV9%OA~eXy&0%&4j1}QX;<w_u
z_IW*!TK;$(@7DpVM?W0&<;h+w()MuC+N9G&A#xDNz4VWTTa}R~(?W^t<-uA~32(-o
zEy=I*rYj&vttu~<c;9)d%0#N3Tc+5{uy^a`gK+%E3O9bZX$W1e#e42ZuEc!Lz(@TB
zF~{eA-Tu2c^tWn0+)gSIqb1s{cM<K~*W>FXW$J2JFw}6)d<GF;T32nO3y~1jfCQ-!
zWboIIB6nEhjU+T3va$@Ayw3)S`}RJ6py^+|L;K8~<K=rv;G7T$sq%1`Z};~;%<(tH
zkk{&i;eGmW69f#!(6)I0(&!$QGBK01ILG)~1KufUvC4yVADFh#$k-%y6inQywzJiY
zgd+w-R3JyN>G)4ypOds7%U>1<C6hFl9>oe#S2fd0BWG6+lO?f07f+pRb~SXYJg$Ba
zT-1HtO-j{4itan>acUfImI!^cI{D7~r`CBXbSxk2J9)jV%P`rNN(;5R-Y!#TsB5^r
zC~Cl3dG^6gU!$PQW=chUmk1v4va%?$r1W&}L6#ESHafi=8p)g6<s8P6qVy$cx;X40
z-+Zj)23obWl2CoQutFOu7XqFt9qzA<t>Y0e!&}?f5OXE9G*0X6RsXckS?qP~sk<0E
zAZA*^&&x~y>iQM8`TOatpCDeaW^*pWwEB^fc{dd6KtUQzr!vF^Th7qKWBx(^iN;G<
zV4BmJjwYjDwu05bTcWL0O1&B`&%eMqR9v|>RuC>_U}y;AoBNIoxq@BDS$<ArFMgX+
zRFw8K%&P^Ht8UE-1!UJn1%$bYR4`K51a-&!S<}x&T)olPQBSE5_GDcC(UICqDM5CM
z=b2O)$H&KTfPM-MpI|>3h~s9GU_VUSE##q8AA0+CcW-Yc;Q_R?nwt6@yYz72v}w7~
zme^vwh#Mu1yKEB^6O+uemz|p{TM;s$aS6L6b|g7=>`Kd%=-Sda0rrfH40!U>>4-1#
z&{7j8L@BHAWbmZD0};rO+BYQ8{WG)-{rps?=nRR%O|xFN6crT@b5_{)U|Rh-Aq&$V
zEYbvFf`Fz0J>@a-4(yC*pE$4+-V#t|{S9oRF~%QnxBE3p^Zo(g6Si;^Cxsn+-uGB0
zYxpGy?T!|UcXNMoH>$ebyC%sH&#L$cvP9BsP{0a6;O4eAv(ibBGy+ft^Jxu;NGTo{
zmy}F>`0$pmC(j!kP{IL6E(n^U4TfmHmp$@p13=>G>nm>6(0|#8a1Q<)BsOV3UTQ8@
z4w^(KB{WGir#7DX+Ur)%1@?zNNAd@k34CG<?(V5N^Xy1orqi3{z%fJRhRpfb*~mNQ
zFDLw&vKRerhG~>k4Exfo7zR@c>zgR@ONgMJDxm<55+{)nP|-Jo!a@X~Wnl;6ap>}e
z&w+RX#udO4YO@F68i7_RN6MQ*;SmXA#mCLciVAi$Q`ov-xUm$aU%~XO2bkC%(&P|9
zk2RgjDRn%P7xv=-m!nnfUqDR?^8h|#ZEa0NFRDrw4klh-uM^a?gtIYh+c3Ev0KiIa
z;4hP+agaBDfJ`L21xR*S2Ju8@l0CeQZFdJqGM~XN3*QYn7UkuOzOSpQoFGkdhX=p?
zi!N*kqz-jAQLQGVNPsB;WC`G$w%B}~U{q<|<UH$}*?uvFB8eU6p}g<=7WESPHP4H5
zkH#GvWpP#npVMrSLck1FUFp3t*OjAuMi@jTFUjWBLY^9i8eijHemvR3?b#%!FeSo#
zYiica^VsrhNhOnH`f>*4*4p=uE<nv=Rz2Hd_!Dr2WIFGj{x*zzdBokWi<4qhc^QIJ
zzW?r4!IMbVXSdIsgZUhlE5fe!ergIL0N~w2tycKV4~Fxu&2Jw3IUWrLl3K!VpBwoC
z6Vfhcn$5==^VXo>CqNel!lVfD0#RBbxW}lZ3`7<16I-%3K#9->;zh_Nt@qvns6rA#
zAR#h))^&ifJlbo0q6D%U=FzxkP({GN^qgM`<SA&{FEnY|tZpRzyNuIVmn+N5ePMP7
z0pO<<_V6b_YX3o%f3TCEFfN)rl-cIS{}(;xBL2?RjGZD;Ln69R6|ca-v_uac8e)3_
z#($lauVf7SE%`5!8TR`mKFQB?xLR>Mqypd>AQU3{mRRT|o>wj!hoo^A@h@K=#BQ^M
z2-81TrwHe1U>06++mUoB);Rd}g!Nt8#QtI6UF>2}d-^<Ppel?i55CX#@&H`1c>t0A
zYDqWKVAqk%A?cuC@t9lxs1pr97(}H11#W%rb)Y{S6X&-eT@B_6NZ%eA9@aFB!ppe~
z#Y67y4J>$8Hev&=fbO^p+w1CG_l@9=aNuQ;FXo5j@cM>^bKJOTHgIaE=XpEoI`?+N
zM@p>bi@oT#)zzizVz3&<B(tl9vAjume_9_5?Ws`dOei+V8?BZ6>M0ct$FQWKZs<{H
z$il^GD2#BI6m?vC67NV9DuL^Wng2w=wEQ8fZrYT!tu4uRjwc5x605|P#6DQGM+=OZ
zhZ;Y;?2;dgEd`V;EapI=c^b?VK61~ZwyB^%zT)fyZEXFV<(u_r{IHkhGD*)?;w0}@
z>gxy#rR|I>C9&sdeH`Vv-#+Hp2&#Y2)>+whS(=zZYWvB_$(_3w0FUhBp?D0P6?vmv
z(QF7v)ZuVkchisA^b16i(Ks5F2vubyo@Fn`W8euzB<YXSyM!>aS;mGwO0tsHB^`Zi
z-&j}C|Lth8h+uSt))OK)-oK|JiB#5=wko<#ts|<Lb>kTXXYyOejNw?yMboi()RAKs
zG&h@6RE^vtrBx6romBG=T>lv|$GB~0_adI3g03&WeZb7u7Qa)w(^-(n43iXKQX5z?
zzOd!Nwmf#+y|e>#W8?Mva(I0RYdC52{Q}#B0ew(J>ig0|AGIvAF4>ib7)Y9ph=<vA
z7IqAdiRd!ZE_JUfmQ+#Qc*7TW*R!*`h<b`kPoW)`U5z*OE$F5WPDG@)A={)KxUHx-
zf*42tkg1BOJ#IT4m450bu)roIQM_9umz=+YnV>@e;$wNTi7+8WZh+zVY4owX{nGO&
zl<p??*l7|{-Bes}d8cx&RPTteN+4Y$iJf6M9+qq3GGKb)i~QbQ5!w=6d2URkkVV-%
zdv*qs>ke$V_?7NMhEBA^#E=zphc?Y-n9TL$H|8Do)Gz{kzljm`*W)<7Fa=m!lPM%w
ze80p21Tgs63TSNZ3QkgMB!{q(C*o?!9|_LivBsj0y984sze*I@M#pQ;Z2-h~Nn!RL
zvlrb-4;=sS!RxattA_<X?n5h^Mp-H>Bz}oq&8m=rBiqzvYU~@y&53T@xViPA=gpt9
z7|m)@SC9Wt;Xu}ZP)FX9xI)y~)4w;;Xwe+!5kl~gUi{E+%WK%b)v>Q9s%yuK&+4VE
z(Q;9Si>vfBbl1{fA^2~ZdC~ZosHUoFl8;?TQHb?sHys^4=$>oOr|vF*js4?h911-d
z@W!d!-I`j5Ori=?T7UK)rlB;#?-<CrPSr*Fbl)4cl`}v3L-+A=woWoTXMT7cpF94+
z|A&GV8&cJg5Ct*}Ig1olI8-ByONg9~4w6r#jG=m%YI_pDdi?AeCv1X2#zpb;#?J7o
zX}~DoWf2I6BUMg31wmSNf(Z%#1pN}eLZ-RZJ&qd-D+vyXf4dYkcvB(b)Rm#s2)}?V
zy+(~0P9t*5JxS~kLsUA+qo!xLRQ`afh~PW!L)L58t}RmcEIyy#I%oM^NJH8`-8KIi
zJL{WDz`zA*VXfvNrG-g+Uo12j5Xog`175?`bUfChpLcVMc*NjgCSxPV#9p2<@}<T?
zM7fX<xk)yR%xB4b4j2C=r~9l1ad17w6iQoC4p}fxb<TM!dk11WUm@5qv9c!*^p02b
zGQSGvO!@j=c9uC9)XNHZ=a)GW6VJ^J2oYVxeXPKmIs6Ud?HnX-LymBl3f@B=6;UKS
z^i8PBdE#7+yLFK9_H&*Mo~*3vWTA17-~L=(mR~0r-=&cF_t7~I#6tf<UC7js20-MJ
zIU}$Nwt9B3Qo*@3RCimnWI-9(w#f=HbO>NYTrxpArhc;M4Gtyv<bh9zw(!Vy44Oh@
z-(_HqpUC|6vXGn*>|EJ_ccWl0LfZMo)o?_v8ygUb{r&x4S8lywnzSvK^mZU57uxtL
zY&Z=9<34gMBm@@m<ABo(4p(_77T=$}qP16Km(g^LR_Z2+EIM^E%3a0aM)E^fTLXL2
zLkb@Qz#X4=eJ#LSCB0E@O~FQx7D{>UnIz;Ia#O**wM^A*Ow!k3<dBeW(4~9K6Udqu
z|AYI5QY5K*O*o`ygXxo^#LP}Gw|yuj+tM?l_pM|4P->w+dPW#|pk6|O^p>T#RI;nH
zaq&_`kF-yN(6p$i2Qa)JUe!ifMSKen!#Y?QJl)OYqK=QB%Y1tf4YV5Ie}{DIYS7PN
z7+1*b_I3KSJS22CF}p%VO(0@s1&Rli@{!ImBF}4F7;2+Rc&u1dA_{A<UA+5vC5W;v
z?D<>+u9s4$EX0cLtkYKF;ZFA85|`@YR|)^NPoA`LNu}PUH}vxI0(L!J1SZj@nM<{w
z-wMWB)Q-M+^Q6PK7sx<esz%*h8VU~{+HQtK7Fr^bg+LT5SS5v2o^g9gX{&bwe8lD*
z`zmG(NN;4dD+Bb5em^|L$iMgj7qPXW(VU$A91y?MIbW`;Xa_s~m}&LD!HT?$+rGuP
zkvwEkZg`J8eyJru&C=v0dlt?uao*2?*^elLT{@<nS`$}Zm{v>E(ZE?;-4%1|@DyZG
zzcVvoSwO+z6aYzoo#Ev)?EC%Bmw%W^%h~H1`qr_lYROmDenLO&&51&M-9voMo=<n^
zIQ4aPbyo}g!dM{c1elAu`b>m1sh1oNL!2x2-O$ix_QufO2U=EFZOlY=Q>qm=Ke%^f
zm?2eFRWNhR&EX=kxoOveIdr4_j-DDne=cEENsWldO9h?1y7Wn@#rl`f|7rn*sESI(
zV)ZDxC>>W7t)2;kcL0b(@}Ycg^=hNdgOkt;Q37f}%dv6$RjBhJm(G3R2!*E=+><Ox
zccaL}@5DU)ovnpLm)xbXx&COv&@rCoJSlVjb2wn#0F(y=U_0;iwW(=nf&d2J=?5N#
z5865)yKQ#}g<R1b1L)Yur3!yMb}Uyq34u<>zyDa;K4Za4Vh4`7*%CTj`G=mBmI49b
z`A1dOu<YCB0|R($BR$A-RVhmIzev6e)HX~;Excfa+Ty=#Fmxceqs*q1&yBnK60VBE
zJd7L?5)xwsKS*x%s@YTHP;8T9u){?Gll(4Q6~u<Vv`p5k)wz|jv;I@PD2$Nc$CV4~
zENF0<$WY_k5*MBY%8_^H5PEE6jR`&u{H!pRfSH9+k!>Q+ikplWLbq0%Xx9o0t*Wji
zjL83=^Tifq(fQB2Ls0Zq+ujIBW}w0%At&Qgkip@?X^@nfhH&WLdFUsCUo@N})#Sbe
z`~$1q7Oc9oL~aa+kUe7tQY|<K@<dS;>|wCNR=NKhYhvs093}=e7u8JLzPHRK(PdL<
zR*r$D?^0hX^oZ$%m7MKN(hAF-nDUGn9O~`|5nm*SNr|V08ZN||!jr_ruKKExg1yt<
zP?M#@`}W@%d@$z|!@%+HAO*@R$;XQ)_d4wz3?-LbnrvHyS6-ils^EdFg6hbSo$6st
z-nys@Q8+chGmXPm{!5oM$*>iiBDGYiTJUf%RVm0?xHa+s4zT@teT}HHy4oBRw-C2;
z47S0Ur5#$LM_`GYN42(J+_l{_WOGh|9)xUj3<T9mwL!>pAYfw1b5Qcx<psVhDq4bM
zav7iP1$35&e=T7%2p5oZZn{-f_0q4~qsev0q3fysC`3zuNYbbhBZMp|H+N1ezpr?3
z6Hh0H<gt*)t(Hgh#<FtMuIK@OFWso}l7IjWb||{#>y>~1(#%MN%b{lF;gP=b)jBpe
zzNJ~j#H!!vN&+t)lf9E?GFyQ@qZAuHu05ThoL@#zUSi@ML0VxE^DfILtG=1f#OUJ&
zt-H&&*0ROyMzVn}T8>tS7{Pw27JOFI>JKY!;O|7qxhXUy2TnOh;vWdrlJMJl7LgD*
zE%*$9@nuD<3@920L@;X@bud48wfG2x^}HORY##E_Dn&^CV;B6U4Yq7TIB&kemqq|H
z!4c@_?QsA5`1^}}IVDC)B~1A=*G&_LfM)nGV$0~>6K<cWCGMTGdK`cALZ!B}LarX!
zQ4P^>27LNhm8DOZTV4GvctU-07uE7ZqHxVbw;da=h=??#_dr?Kh!^&5@b~z5K+|IS
zmT~Zwo3rhtYHCm)JXaw9fGd66xBsa-E>=svndaGS26v|)mA`@sOB&9pP`7AApeS=4
zIC-fYEoANN=kvf*FXR;*(3b8}FAuQp@a*6f{9LxNRBh_Bv{pI^Vy4rae27czXvF(F
zDEO95;}_L9KCbYa!XmA;1RzVnE11)zvN5tfR<`S|PC^hD&U9_Aa1dZYVy4g-#zKYT
z_a`&g&rjeg`oVc3LQ;^n<jMTj11Bdc?9c};I&w;C1eDw7O(6jVWVy@r>gPiMNXe7-
zov^Cwy#+D-01q+8^!>AdfMgQ23T&ro-Pql_9kjH49I!*<tMeNmxTQ<$>+1;FW2F;n
z7KQVo&3KwO5|8f5#}*XaDxiOKCpsoZLtVYz)-2U^*m|##8deEd37)p2dHQNFr6Qd;
zl$V#fagL5;?TA>F{<w?|4mP{R9={d(wka@7C+*{cMsNnCgpBAH=#;&FE$dY{Jhs4-
z_(GAxoNkR!u18cn@cITsb!Bwl%YbC8H#<uMkQjH>|CbX4y9v^Q{g$`c{XBxk7XWYy
zzq@>D1C+|1H6g%_@m&muIHy|oqFLu)XqIwwcQ;9cg%8aPr_{PT_~y-8cKg7r+t4M1
zj3hEEE34HB^r=w&k_lZ^Q;vq^27vWngNU`X%eR?GB3r+sEFG+9kjGzXPyuu<aLT}u
z{}K(B!D1UMy$s(C(my!OXUhgkqH$dY#>QBkAn+xhA6VK!<hC9LkhQ#7_h{*S<(3{C
z9ACNF3QPH!<D<f|aL@G@rk6haBj-;NY)pKckD_AkYF_iP7wGLR%NjMX$x96#fM!;w
zD|yG8Z@U*={Qdn|$QFDp1gg_>(XYA56R))|cN(T&`L!DAWh@xfDPrcQ+KZK4K%;-a
zvg%mL8MxDTK0)ReZI2)f9uV*X>654>79{TP_Rb(E%s2NkKmYzI)Cq0n0fGgTpfkLf
z79&QtZ{G$t{Fg89>c0c(2mX6h*9P?s`|ZMhXTc8X%_Yz_1Qz+ZSFRV)cNGF#TB@sm
zpjZR&jy3R0jtJHkU5=o0diwbtEaYbO2T13I$e<e2#*HNa;h?Rl2CPhzzke4SCCO~N
zX`jNYbt_@uB3?IWFwY?z|Gstt;XV@~pj|4DqAVcPS5d*$oOEulm@WG$9V^>E7Dpp<
zgZ9pqEZ1TN80$pycXxOBowVNf;oR31;Eu{>SL%&QCKOc`ruy*i-8&zl%orso(t;-{
zLCW#7!mz;j+{iTj7f)zf1E0jT<P}7RLOh-@LP7m;Z^NNDK@^Tbz(d8KcA5o1Z=ZpA
z6`DuDrUdDNkirAbH?UWsPHV`igHU&fH-|<+h^ORGn*c}F)af)Tzyuu-H1Axwa^>ge
z#!cYg;X*e}I{}dR<E}I;CG&_S1lyZ$$V)>-4~WHKutNVi?F5{=gOiifg9m??nE!tA
zB`!xf?+aI)xcT^In%(Vy5ry;^Xoi#~umoz(x#<)hNuD%otL>QEXJKUZKrp}`48u5x
zBCt9kr)I(z=)1i<#04^J_OGdj3mAxMo~NM!m6k_wdBW<mX<?6F9-2kU!O}CdS>jMB
za)*%~-e~*$I({iY+ZoK|>C@@zm46d2%DJ;|d=pNc1{BBYl>e8HG$f14*xntEz4Jun
zcJURGiM8FES6xMYwV~4??+2p$pm4m5UCmKddP)IHlrBVK1gdaA^p<vB3N~zbTw0`g
z=d6WMQ<~dV@gBk5*nPk+;0_&nR6xQf7*RFL4T2!ObEn`7;JhX;oibS1b5|#nA)T1{
z&-OV4@ZR&1O~!_X)fVlUg=LTx832stj#u*FJ`@A2E-$~i47S*pkdzds(g2&2S~BNg
z98nLdq=&l*QFN6?)f=Y|Y*}C(hld~toRvg9+tM)BVt{4=2Zcog&dHNO#=%|W2n}CM
zk|S@?fp;2ehkD)*9Sy1YJ&X4=7ZVWojs04$3kP;E-HPiFqxcw>DE%<pbW~=4D-xv_
zgd^j*X+{1atbV$IG#W`z{vs*fdL`1ZL}<CyEYz0AoJpg>gPUsCuiZ{e<^2U+DvS_L
z8Czc}vhv8?K{bE45K<ld0s?7~Yv|OSb3F-!ZoX|^pu^QJJpsWi1_H*?yV6BzsE5zo
zlmeW?c_MaN>=Y(IWrOMGv+pFl<;VimqdcyaP9FmficM_-1t1eXL7#{$0`asf*L!Gn
z28~(H0LYYuC-HK}S<)(qN&0U*6)f2M0P6l`pH66snw+O4Zy6gT{UZ@i7zqb!A)+Ec
zODk##QMkwCI-Z(_hSa%_(~`;Ei-H5Lq8d~i&U7pohAo9XA8hw&<5ZTWqey;>Hy^ng
zsDCjTe#jlt`>cf^@X+idi1Bhp!he8u1tJ7X^{3vyM>;{I-SR@8O3eDr6PQ3Ox}lU6
zg1v#2=uP3#2SR_^W)p~9LS#qlAQ$)#3^_<i2E$LQQ<AaXmIdt=(dNf%7C}LOfUTPh
z&w_32?`FrJ%4=NL*Q|O3Z={Fqp+^e^J3Uc)97H9@2YIQWIdCYy3fL_*fihV*cT|OQ
zQT1%6eA9&U@6yTjmKSdrw`3X*g|X#Eeo&6wS`QSCncsrWLlqmF6`OSPU%(1`*WO~i
zoX>eV<pW`}oE((QWDk0uCy4O7)+5*R_2$3dhsPSSC0v<%?q;danwYwTLR6oXE|p0p
zD;18=92`h4SZQ?&DSvSH%@CAWZJPNpdzHf}1=t8!XM+Gz2K5t~uhz{)<(ARHd})E}
z+;ed6l%LzB4Q;@q{AaC!KdRFk>v=@kQ<qBG<gcgs?nWvqkH+n(VuZDmbSUwqRA0m?
zY3UVQp(r5~fd_SDC0O3~QWH2IJRHs|@4(`ZPYP%ggx7t6;9&4qy*~OHlWW@r5!;vu
zS~2O50IeA~{eyqwBbi_P5(<9*gh*3JZKfhP5T*GFF=AVzhA`dyySyPrl_lKjctAuJ
zr<%8(6f%uey;DC%oKj4~pTMXX9}l5*<cr5XeZCJ>l5=vZryNIZU9Q=J2p`rAG^hh0
z2`S_1<XbIUP-Ja4oQdX616&NfrniBDmdWu2Ef6a7=zu;U5GlfBaPVSA^XlwAB(pky
zdR_o#Owj)SZp#UM5`g)4CH*#-g|Gb>Vh{RX1)t=hE>&tq2G3{Z^x=X*y@?8ai8gkH
z_kFGyq2t1Cp{^eBA`soz0Cv3rD<K8Ep?Y<jkEx5J@&HZ0hGJw$Pj&@28MIapfB+8x
z&1r}II9r55*IvMC4s<wyHy0A1g<;wU&DD_9p*2X`K@ji}CJUHxzN7mI905{i%mqHe
zH0=+yWN$|aRpJ?%T^756JsAEkWOonLx6GIM&Gq&7pvwlxq@Z8lr?K4j0+X#VgCUy{
z;xGoO`InWSkL=h<{P&<0Fx%AKWJ|>JDJYuO;t4gHNaDu7qf5b2DcJ-u?R(vpYk-th
zwx+vF4Yb2}2&*)hW<24AfshJFZGz<%Y+lbm_zOyX&pCHsCgH@xfxLM663q}iEk}#s
z;LOYR#|_9zNcKUaIN%JF4&~g?Vb(MQ)0VO>%t?N2J%7Onvws`_l+qw{w1Ef-mzW-8
zY=HAmu49KZye0{NBQ-?tKq!k*WguJv=hh!D-F=yG{(FeZ67X0dqz?ev=^7Adli?sN
zM6lGr?e4DqZJ$p}FIrY#zl$1az|{fCu+Xh>2vwuff6w-=fvLImJ6&EE9EhM6>rfxC
zkz>$w{f3pZ4rV>{@^^+}L9iv*DdDuX0#6Q**i`dSQiIZew>yHs>w?N&V6-O2RfIVl
z@_WIfAO#)pRP);oZ0%G#TM>O$5F39R=r!1RlXjnukYA5yppy*{N1#D%3z8UQW)}aM
z_E|kt;P4;6w2blT(@y+YGs_?o<dzX4kW{Me0L~s*knjrJBlOCpFLP>L^w?3|l{Ymq
zqCtAO_R)F!-#6IHab$E3DgNz%9Tf5n{^!5q74*WP6FqS~?0OEa=<q2_Slr;O^L*L~
znsQ*`ft}C1!h=0>NxW$Wy49ddP@zD_O-%TIegGCL2&Z8N1AR;@{A5(|jb5X|Ld+pk
z7LWd3t2&5u1o5nq(a@#$uiW63fH1(@NW*#QQJ9eZq?r&hzRGgf6$C=}ot*^)DE_Ce
z4E{#!Ab93c*%g?tVX9PzNLhH(b=YNRU_?wNC1c%JWEg<8U)h`4`mRFDweH<QIhGeT
z9U7HRS>P9fZw_o(UG|00N`W@_4h6C}*7!vnSN9U_;qa9G$2;Rd;k8>_BRfRHci<9k
zv;sd4^zF#yKqwqr)lilO`4x=Kg{`E|a0;7i$O5kRnlpc!I7>W{iIft!;2=sbMnCM3
z(*SKS@bhJ<hTL&^cHT>f$Sl0C{C-+-fv2LXD)!kr)ja-xcVNu}Mu*#-Lmd}A1Srw?
z9Byo(R{dWB`mSMpl#a9BpEA<CO!1`$TxIhT7W>-bSq^&KZI6m{OS<{+oSPsMtn?ex
z|6Fx7HQ`WrZhRe=<nRuZQQe&R(;|x0bdhkYYC2Qjyw~9LPGYB1tP5YgL8vsFI)(8N
z<A2xr5rHb{$gyK3GHgT#&#Jrn1vmNnd)dH&y|$Ys)eDr&CCkc)s@h}!{~jEjU`xyd
z`0m`O5k3m->*wv&*~auG26M?2fI+n)B~-(sdVKpovs?icm@5ArthTNnLWmP9E2;y}
zxiD-i!nzFLPkH-?=BnHHZ7g^&CGP-d4Am~8^qL?+4$y}@V#qC-gBK>~dem5ib`rZh
z*-8Cci%Jn|IQC7IV%5WH**Lwq)fY9OoX2446vl7DeNTiu=l3^V1@II;>snzwj3j6-
z0eIH1{8HIhJF!A$ojV}n1lC&e2aCS4e;WF%j%T-mRy`!4LCG7c!w>jW!UfC<bl&_E
zM8gmzSE5%^S_)5TMdTlse|nZ|Q3o*x_Z;~Np49|y2Y<jXjh%%vwD@p=pVTW?sOm1#
zFTp9yx!Ol%5Gj=5jsmQZtyTm=$jQ&2GZPbCUt+0+LL>{QG~eY&UFGAuw@{O0jR_}g
z$iRguP;GJ_)_P9O%>BH-$9Xy4a5iq5^V<Yt7U&KW@TC>-!TJv^6o7eBaFnn_hlf)e
zc$hWM{16ZjFyc+cPk1{rLZU^#IqS*NJ+|J(J%rE3ijlUnW+3?bi&b5=GpG_l&YjD^
zd~ep6(THaPOZO2acIIwnhSx*WOu=raD|boJG9KXF`e2p~kd0r$WBrFP9_}CP@}n77
z!7mlXN8!<}HEV_)RIhXr*06ODsGSQD008C&l*htK4(#;z2eEkOQPNDX_g<Jb&e<fP
z!_sZOEYm;sa=R-evz*Hs5-G#kX}M~3xFIeqGv%!u%b1Z#V1?)R=QsKLF@4(S<XHY6
zzTP~X>h^mZ-j#}^WR_Xxl*}`6i^vcmvog=~JeE|Z$Q(9qglzLXWr&c3Oqog2HqZ0;
ztdH*B^SsCLzVEaDxWC6Ydw<63TGzVHb*}ULx5q+}<<VrRU9$3HEv+FLRaz;BmTtVe
z5p++xzI^HGT3#7HeZpzH;K0N$AOIfn;X^yk)t%d%rNd}gLsqF+L=2gPFCN2g{p>Sj
zI5=&md<T8~Gyg(?sQLlD%b94Vocw$x%%MQTc<P^s&vH#Sh0_|R24$=6GyQU^_7Xuq
zeFuzNXrMPUJRt_?V!ne595~l(leM&ICaNWiYzvM127xjTg)y#;dD9Co((>{+MMXzF
zW@I`^r(H;iIs3BW;^O}N{{6G|zefv3sX)n)?Zy+Fd8ivZA{Hy~IFpB)#zz;dH^4vZ
zQXy#}LnY`^fc8I(y%(PxK&}XMs`MwO5EW@)v}kI^>EzRb%?BWXKV~lD;dcx#ZG%4m
zo1kF4=`a*^;NPK3Xq&bjsHD(*YsQmMrn3aN@{G%toG&CA(ABC2g>gT>dWFodU%nvB
zQ!s;QUiNnT|K+z+4*|1Y3D?rX0`&|SJy9!{KmS^g-);ot>*T^SAOdffM2JOynsZ@s
z#|ymu1jH!GLM_wL0%NY80%xDB$tr7V9&GMUWS@gb2}!(L?YN!bBMs~AdzU}q-nf5O
zX^-#gw)jbf3dI=|R7)aMd-#%p=mVcIrN1j$X%`e(0+hm1Gy#jYqj;I9NlDVhBI-d8
zoeYJ8*{dOdrneYJh_~KRG%zrL5CZp(KnjpCZHR$-vSJDrA0Pk7?*tYQY-bX%Lu$Z4
zGA+Io)abyskWWysloP0@Ll4<Dp&t*9MV@>!%e@$wh=|S>z*~^90xE<o<Dl(xg;orD
z-g_r*_#>nV+mZJ@7JwUp+~&Z@NDYWg!ddOdYg}P2tc|0Uu@LZ}2p6L;18)#0_+SYN
z)DA@9AJ~%C<s-l!LYhb+S0K3X0_Yv#k0Y)_;c@Pe@qnqFcK0qlYBF<H90<#(?7DPP
zY4US>h5yjZ5Zjq%P@iF3=@V5Yu@y+FT5)(<JNXN*7=1r9DvJ2qgo9(!)oohnBLFv`
zmY&nKKg~Ic9@n5S{<}<a&OA?06kCwUqv31T3#RYPooFEr!^W<6&gDmcKWwES9R#KZ
z!X-g;;l><6wev$x4mjRG<{8f<uOhyszG7YrSsx^6K+qi-8mfXD0Kk4}vSHG!G#_p-
z`yUYB-vhS`u;K#ICu9ghyYh4CG!J0@z*Fl#C||BwC;*Ppg|p9LU$Qh_3#>+j_X6by
z1S-WEBhMSyA^=Xp2JSyWGZ3E6$S?*WunSQ5N3u&u+Xid|&NYIb-R|Iu9)QZ(Yu<}V
zu!L`Jx}aw3Wc*xR`O(TNbkgJzk8X^5Q%p|moLPYKHrDf>J3s1JQ)dD%`>RJW6%Ho3
zp#Lr)VxTh3EU)&#GK#JHkp&xy=+a9y?;f}eFs{i}=Rp0xa0q+J<~sn78f!xtry|~T
z6tMeZ+fji`wLKvGet!KDQT>Az5Ht*2`e9oNOeOwT!sTr1FqlC4=?qG%#6*52auRqu
zAl)^8_}&-_K>!|KKpldk<{Lp;aW4|oa>L1S7tPRx7gHd}A-?f|AF?>WDacSTSiW~i
z04Q-5F`4~41=p$cWD-1l6av$j-|nli@KIk0jUA}DKe(u$73yGQ>I!YDDj)vdtPew>
zq9Qxd&c$mXgqOV91EV)U=furV8|=xl%R#`vADbDe#PSFl{ZYVP+H%1FGl&l5F#Sdl
z;+o6pvRYH-vc1}T)t%CA73o%Q1lBg-)hnOmGI|=o)dvukLr}jegAEDL?~Z4<{Ldir
zbf0(HyFsW9SW)i}hvkT(s3-l9%pI^85G(*8@YoZ|8m&67E!gN>MB$Th&OUwys|rLA
z=`>tSLQ#}vTTT7zuMY}$OznDeb}YCZRU~f7ulb%PM&Hk?q%?4@2R9tcr!$49eZ>m7
zrzW48{F*mygSeNch?}(2`OW1=ZR{b}c}(s@S4vYx&59(5Z=LSEY;BjA<Mn#`W{`Ob
zK@&`%T_*dhV@AObrwXX(a7$vWtXLSoNkFCrBO-)3*JpWA9gxZYY+PVJ216cUB^|*3
zIsp_r1c?m-_jNnK{^^~#x7&RBz1b$v#BQ%zX9;EaVD{_H*?T%lI;pblcNACnSxnaN
zr@dobqjQSM`gQPEvkN~(CqIiV<Z5u#+kaoM{=wqG_E>4@9)y*6vg+x&>}`WM`6%au
zz|tb`ghbn7t(vm$e7F4LmoqQcgK#FmR}jUnimf&R=^nzcX9~<^TKY!E$*YdHI5<YY
zj~TWvByVIvQLEIVCmjHs%d}!1P<s+j_W8-Qw|Ot^VV+^bF($V_1SrH1aFNR0nY+NU
z#7Z<nAUgz)*9S`PaP=Kv?Pel!G!RLzFVSho<4`7KBU0sNJTqgO0Sr&k2%-64*w?ql
zdb>SNIO<vEogWt=<u4GMS?T#ZD92=Qxf2wPUe6X+T9>FNn>XRBa?k(f)fo1jV;0f<
zjh?itbf1hVQvKr~1lmrbmAC=)?rA$bSzGXaRu7H<=h+3l_x@_}DIP0`-4L7pFC=P7
zH{F~V6G)Fp$jFu_8&05G(MY?ZgXPuJ-)$6tBp=~lO~WT+02TboqN0bQo??=Y>P1F2
zzeBh;O*6g?YF?(~d4G_qAq{I=cHce98s>j)x+U)3I3v`{cZNShEe9$~cgN42rv4&r
zTKSrBrh9LH+FzE_qb4Ub@{=%$IG@N!dCA($EK4>+c$9nl1L&EeV2|9JsZY`Zk#WmK
zedh>9sAozxn-!!^;xx>uMWFui-~c*5y+vd))qv!?2WoKRkU4<dIIDawtk*P?Bc`;+
zsJX$z*B}-G>Ytn-{RL{tFjB#GR3y3J{rlg@i;PcQpm$k@wn5p9NUSF?D*lb|^fm|d
z-<3EcW&Gj`n?weRN4V*CuQkY$nzH@rRRwyl`Ja58)0H_H-y#vzQC0bKL3*C#t%#8=
z>WQXVkJX4(dCIiq2q-Fn!@(gmE<;>&E6`!Bga8N$ZB2i%ZoQ8%3bX@(oa|AJDFb=x
zF#z~xI5s7%fSeAlUW-0eI{Dzocbh&r;Oqt23`ZEfP&S=E$sw!}VkZfCpBoHKFp%(Q
zzG=m7R5Q!x<z=<To_l7H+u6|(J^Ai$9B6rwg*Ybz?Q3K28#;k79Z+bbJHcGEjE)<|
zFaQunZQ(SCRx?2MoGNyc4gM#fOY(c_pPF<3!v#op!Hd8EM-o)z41BjVJV~<wCGW`i
zmFoE?VWMyg{LUaFUatTdO2BhajdLy&5CfpwNPpW0P#wgh)x3+^bHE)1dueEwLp_6n
zLYq7E$%q3Z8PWw-rNo#``=4@|Rc9HbXTO2j9GJR;lcqF-1ncW`wtUUdoKrLO?=2t~
z+7hoO8G%Tc{9geVW-$}!Awk@kA$)=a;QwLRhEei*Rey*6CZrDxL<>uyJ`a>Muey2+
z1|$SPJ+GtVOB<}l?yzF<DaFUdC3cz>4(fuT;ReV74@0g(KDo3#Y7fxH5h5&y^fXzO
z6G=mp7a#Nlsvm0B#~)IA1b!F3m!qDQnF&R?==Q+j|Lol9{zF^LB@YtXO+Xjwp%As-
zp9FKjxOzKwMv;m(Vh;~V6Jkp3AjAT)4#&X1hBUR#FeqzIDM{d{&Hqr&&(9AaY;b&l
zq7?WO4AilW_hvpw1t%^*@b-M_L3a_#Yhkc-!gGM?#*!HGQz(2uV(|ls?EU>^fCEA`
zL1gNz>yeBX`>&G>;7I|}4Y-(b>2TAOgG%-YK&8F$LZSa3obA&v1<fU@5BzYCE<$4S
z<wk^uSPF^k|G`rN0Z$RM9dUsK>Z|@Tq}<S`9%;RNI&YBwSRe%i1a*vJg0>|;7%7MY
zkCpLXi~vsXkX)Xu81$y-P@K9ImrGB(vymUpUcS%sJU*Tf;r>3lekvAzI@pPTIKg%6
z)_D}9GQCeu{|Wg|j23`nu<o2k0W|XfP@=RAqV5eK(_%MXHcyq(;Qu`#c^*^fkT~oF
zAXp+Ifq-=Sb@C6s7hr)MAtPBRNP&RNi3fD<Kw?f7I>RZ8IC#Q#@jQDwjzOlH@9`cM
z@d1F!08$bJ(@!X+u#p6J3xGPfpG**;h}`)XpP(()PKETw{X_@FGlZErs9XywNk&3k
zkUA%p?s5zJ`&jjb;L({v8c1>vyqpSliZ|Dtpfc_p$QBZLAK(gvV4&p03iML&v>1I9
zJNL%KtNC}W<i>{ps}WbWJC-g0`T`|tK3(?ofU`#NCTCZ`;2e}Tz|OB9Uefi4V%-3w
zM6?n6=gIcD0K(m3l=h)7H)sl37FF<DIa3~D-AK8}M9#MD(7G82e1(X%Yzb@$<PC@;
zs7r}SFuD$uCRf5mmnnEmf^_ngEuY|~kpSBeYP>z;7cEtLWrbeS10E1$N<G~HDG}%)
zSTc`-DokFU@(%L{oi^NbhHrZ^+=RHm0qGw<^WU2&hvXI1S4mK`Af*mw58|01*?A$5
zNgfKaaNNFtVovjC$94wz+5aZFYrf>78|dwgN==>IA$Fp^h~h9%tkP(~Ljg-+pGxrW
zA!kM9!|iM>EzdjyQx*EmPjEQUmkE_&OvFtcW%s^_dPRPTTEeQk0n~ymXGWc#i{!lK
zaV0u~`q#2XlKb!W;r*J}%9;l#Q^Dula}*g%?H#7!bEydl!((H4eRFD51kx7IPB~d3
z&2-Q0?8nR401vq>e+lO-OLR^ItBJM%E}=SmSQ?I{|HBs4Glk4~!~VbTrz|*q=*N#g
zE+WkGmt0q`m!3sYylU_2QigKSXiu7-e96UQR>?g)6t$Sgoxc}9R(m_bW<|LL&&YJk
za;uT*jjWZPr+1>x`x>{V1OBh{xeqyF<>RaV`cSol*8t>T0ANmCiQHc38_?AF&g6M4
z>FrKyjMbQoI6<2?9Qds)^19iunk?eUM?YbGF5RaVf|IHKkmUWP`wz*bbr@9Dd)BX7
zwUG5_lG<j5l#zyB!d2(Edv{NDmt`%G$)Gib#e}l^m-cd<^NzV;*WS_EyM=ZSn}{~!
z?rp!L8P62n?xQgVqd&gg!l@Y*@r#gGSe4gkb8RLy>?Lik`%I>$q>$ZH)fj-D^SMfY
zP?LNgBeD7YpCpZL+Tu@?yDC1vh$r`dR7xDpsWdFv+V}C<I$NK8rsQ5ux>6=;mJAM;
zjFA@YztmMqvY)ovraCN#mR%df<OF%_Oo3mIQVul=K0gZ8a^7XNCn^}07``Xp=4Bbk
zTS|%@*<-GWxz8lP{HbnE$-c%#;siv0g?;z=7y{KqczD)fLx9MjAA_UeKH{%N-AZu)
z(mPkBzaY|CN3o0SRF_wgCA6}BD<APH?1Xj)sM-5LHlh!C7|J2~W$rM6Mz7vUZ*3L}
zeuIEl{>_QkuU}{TCoj}UY#hFC#G66mon_Vgc;MjgFS*|hOD}571ihh?Z+7eAQG30e
z*Hue3z6{d&0jFEK3o9!P$AkO**%IaR3e|e`*c5ME21MSp+2B4@cwZwM6vRTsfb{37
zOP-{^pNR>R-Y~&J<tLQ??&?$NpmerwFdc+m7Lb<(ngp}uQg$*V<kRQRHk#efRO@i3
zD-h?6<k4sMP+IWNjnz@TM-piLW-Ney5j<N5tOkhjI!Y*vF-*+S?RvLgk3;Vv3MH6o
znJ7hQ;iO3NBgl-KdAR6iO~GVPyqo?GAdNd?V`HO}$J^aLe|V=_CXdD^q1pxJ(GpOO
zgxEYl13pFm354sQmqpmuIB50ajGvQ}(@gvl0+!gzilZF<k%6Xkk@2dXFPpsP3a&Sv
z9t1kGd^dx3l=RKzo{5PGYmtlfpm-0eXi8iZ$ORQ>5aI+91{Wl+<8Y`k2EIOHUn6-u
zEeU<^+4fK$0e{ei@dggkdwb22hs_9K0s6$91mWc6aJ{ua<@<S#uIgIsq8+?ly1g%Q
z0+m-#RXzI$2b9M7g47AVeri8uOumuhC<ntBGfI2gF;h`<7ddg&?Way==zPz3;w}&R
zkgr({%ZPa<Yl;W>rTT!NtbX~2jYyCHfhDhDySz{waRXrNEcBVVS+D>j$e!l<^^r{l
zw>p9gyZ(o5{$pbzsGqXLI8Qx1z%6!=2(OQi(l`WIki|X{5pHY98Ec<`+NT=p9pR~%
zJcDGr0~QA8@wQnGMTYGa!MYPH@F}4H^LV^&sbUmSTL!RWT@?H!!8=hx`U?;YrEvGY
zzm_PgHeI|1w~H$JhdEllEFKw$L$OTq3QR<@<r8JOl=)TbWYbd3oN^m#EYZWCANxQO
zb@KD-F+FYobkK)3Z0R<X|9J=Z_8ZtAK7bERfOTpz6rCXz9=6%mU-24bi7R%uS*7+s
zt{aYS=jH89%v^3ecyk{;LwRPy_s^W2bDFPmS4n4bhh@1Am}QGny=lD&&X<xW8<GuU
zMQ}v$E}cgxqQDku+IB@eS$j4-j0pisKt67G8X8~*m%1F<TlR?iPgkX3f_;MyZ+t(s
ze0Cpf){+KxlexD+7QYTkvq;Y_a$v)!CQL-0z=5JLK3V5FSuZd2ee-j7XQ60<c~e|m
zd`c3Uh|+s3b~?7SbaZO|)SR9P^>gGNV<ec4ln>ju_0kNwvS$MN2a0BPqZy|W3uI3(
zUc879_-=mHxIXQ>3x=uL{`=Y8U}0Oof^Z%IU20>|EXmFjY>e-iS)~grjx{`cdho^y
zY4%PNo}}7w-%NVk`qh_QgwiF$i;1i;zSC5bTAng%pg8UcM}X%W@MQmJ9}WSv`qV2Y
z*OoPA{qX)?q4y=M*kK!_BQV)~=TNOfUr{Q!p3su6f)+}%906d$g;!xL^9R+>llj8q
z`Ah$Ea#{v?HNob>N1192fgcaXS3q-BFzbW(8KuSl?)<`~0D7_GBN)iT^Ez$<IRCxS
zs^`a3bjMHK+_nMlv-j-Kt*D7hwyk?G`}f_Teyl)n1<zf%xcGQhR#rTQ)Ppf>MNK-5
z{fjfmD%XA$f)>zOfM?ae;HqE=#+XY>bs%yvfkb~`{Uqr!|Gk1m&YFS~@ac*+-Gg-e
z<Tw0Sv|&S3SHCA*uCRQkF&Y}`5N0hP6qk$<tgQji2!D{lE-0+HwcUizg_r{ezMVX%
zn>+v`fx3a2zsGG%akKUQ*|0xQh@5VGQ<;5fZmt?8&J`LFb&goJ%&9HtCPN5Fh)bqG
zwbtLCJ*%6)e)bT0+i3lEpANd>F(A~(26%Em7Pf%l0>Tqh(04WiEEs5OFFe^VtgKtI
z4I~_NmE26b3ek64mh{TsBNfH#{qxKp<N|2gR7qyQ-(VjZ^6np}X>yfULE#RW68@_%
z=pbMiMw$*gq7ixYB>g-8UA{rt1nLBC?+{$1Sp$85#pDkjsqQnMka;4xk<d*jeX8^i
z?6i+vkmH<wp46Q=hJbK|!NkE~Rpn$;Wsvt6x<RQZC}#a`{QU|_FJkM$F5v5NgzG6g
zALXKcxUNI%@QP<QtUn0I^(qvJ7w~!Z-Rs=p@83)ezX|L;n)m5^L06JU`g_}d_xE!@
zU$9Z|I)U_kd;67ry79rm!6PuFJN;DAE)c9Pxg`-sDP;aQnJtp@1qqP5+W-BvsMqV9
zkH=vxy<T&%^VE|zM}dcA|NSY?h2Z(=8V~=!;%kl0S9ftJuy+6_p4w-5tlGNp;(uTK
z;b42__#e9c?*y3tE*DjR`rpIT?b%jWqa>JL3YPtMwWz89xb3U38VG_h+}}@Cl=bMj
zt0+{_U{%4W1s`XJQCNEkHS}iX^z$d@UV<+bu_MvQO`uB{k_fMXr!@tFNlM752uXjh
zmLtRHIAA~4A%unXO7C{G<Bz%_p%I8H*Qu$)+NO22sNe{TQn;%qlxWn-0jTW^SiO9%
z7dHcKG;Aa$+Vw6)SWgf?ef8Ak#RsYT(-t?#LSet1zjx~{E<5yWDBKfM-q<qgRm7EW
zB`rLbe53i%cX_B9Sc`2&#rXx-;ON_gFkzo1xAAq(%~_tv#}i?8d8R(cqD^%y$0jLg
zX$|;!zfnLf3w_j(_2)y2EQ1x~l37+7{uMSKl5-4GL8qUdEYR?4#gbJyhlG-S!gzMI
zm51t9f8aI4u70v`uFl*I;CX%~x&SAuvOIkl6x|z8_$L>eF-=NPtD`^QVfajbq~KP)
zt?rwsLMP_&P-9?u*Q(rV)U7Ej;@eeKKL%Tlf~el;KHpNBHXw3ms##i3d=vO#!MD5i
zuhvc1KJUi`k+w{Uakjc~q;F&^--GT5YUstCnX{;(=9rF|pX^+dUkKFqn>LkkBhTg(
zjy%dE9qRL|)-w>U@3DA0o#&rZnKbcFOy6?_I^nMQEw8FbTFny9Q1D6mF*K`;r*u7d
znF0>^Ea}`CTGW%*mX)J1eQNm*bNSNZtWL#Xr+&_p5T{_lDh0FqHFMfjCEOzs>nTMz
zHk9s8-%7zCV`R;xL3}PUtkeM+IE|gpQCCq#(Ku2+59;SR7>T*+ZaPSnYP7z?dXBF#
zDJI1;>`J>+<bl2x!)MYu{uQqhmGDbb|BowRt-e$4w|9PJN@Q>O@<%557`4X+qA!W0
z#agms6o_=v^Ptu1i)vbejlNgtqX~sFJO&|oWE9)6oW5*mk_0u>mT8xKLY3frp_ty~
zc836Z8OCcW>zhH2a}MH0RZ+Q?*Uh51z&P!ms-E&-V(_4ehw`4D<wWe52~Q52wT&Vi
z4pk*}`aa*uFn+?RKx6d1awBc_qo9(jNsAxfjcr$bTHrpRijI9j(;_@sdpG>jp3m_s
z^15>%%`rKt5{_3|hwUc##%XTVX_AZ1J$CvXYgWSCpt`iOGC6-80@4%vPl@uVXEa$_
zoD~t}@hJtkGG7FEV;%yz<9(zBP;lR7G+}tBK>rqePQ<=@%<bmRDRUTE1`^&hswA>?
z3j<|r7m+$<dy@ljK1yfny179!xEQt&Na&<aAIL<M^ZfbqWga9T{LiZmmSH@1?i_YS
zRMOw4I7&BM=bCg-j&{oL9%CazdwWhYUEvfpkvn((#aL}Ux4K~=*qRjhw&;wmN*YLt
zuw`1;6B0^;*|2Tp_>Vc4Jlarh7I`%>+Ce_s+yz+6pVi?a;|B|JyBN&vmblB!7LMW{
zDI!=OWcFe<Y13oiwdvi?Ua0AtCX`m!c+)mLv|q0bmlS#5#+4MVvS^S2+A<dJ1BDh!
zcvIXfVZ~c~>BRTA!HNXE?gpfv0lP}^?u-}=CK1^OebFR84?lA_b5;!1c!ec|k?2oW
zk*&9z+m8xcp01{wG}3Vqw}F!fk0Dm+46*`LT!OEn7F|=Y;E%hfQsa0t&f0`uZYE|{
zwQk=efA4NIw}6;fm@@L+q8a4vKPlAJ)7wmSabB{SRO^0Oa2#k+khuKbz_f2kuzYk$
zz>N;R+8EcIco*hmABAzg=7Y<hC!BI%!l}`3X?TAT${k$L)u4rM-6cOgxn+f|bJw({
z;!o>C<uEGl=lF4^<A+V~ca)~ovx}%_;<s?mN(X)ZG4V(ikMt}9H4?px%1^IFC7LOi
z@K?xkqI*K4PtVmh<VQBQkd$Pok57sCo@&JPl;8SZmDlWv5IeF?E@VDFA^rOWw#;h1
zaJr0AU#xGBp=ZbUZ<$6fX^A)X4mD$uA@cnt|8wLO#40d1-w6|>YVetlRTRw^<{+=4
z<sVtQBB}78MU9DQ_;lo=PA>=E#4-R^j*i90cYPBCzX;t3e47!#)DC$h<cYcXIB-~c
z92gVeiou90?eFhjtkv&2eychLl*E6nRnb2wq(tt399aQS<X=kA?Ism9$g=XR{HYQ0
z4&d|TV&i4xol(4cDir<?uBrxfov0~P)-b}~o+VvGj_&r%thBnSYSxoH!YZCA2OO45
zwLil{K@HtFz0O+jD8{IBxS-oQE&4;$q?I}sWw!Q=H{wjUc6M$w!vk(Kcm^>GHJVtk
z0IP~mV)(bKZFv?uHJKxQpKOkv18qqqyH8h(0gegbjl~TfRK7;822a-o4&R%7q6|#G
zEdF_L&IGN&5u1-8fN%XYlSba9Ev$u+!R>CpdUd&ZF;yY9qYyU#zHB?5)7Mh(Gl@la
z6v(uX)Q)MWFa+k=*dcGDNEew3joZw)VET)9=ydK~V@)&sJIYOvuNXQemmUz}XlUrS
zxG_Ioi`8&H$56zlOLFg?wy$;4s&7M&1;wjR6vQ|T;2Ok3Dc{6p2)`V{JtTl<I;ta*
ze4FkT7sZ3-jTbk`d!3ueLmq^c*l^UooY9xc=y{i#Y91EpNM>M3XA7D7@$s=D3&@Yd
zFB_EuPal#_+CvLSSGCNo9BQ;~eqLl_?tj>6<yKAHHzSCFcdx5Ief|2I*0C{a@ve<d
z8%%V}x%T(~v(j=jCb?lni~)xdnGFS`$ZW8&hRrsNA=!7_oC{;S-&&~T&TG603k$Pp
zCY_Ta<mBXhJ8d)Bbbl=9B{^w?O#c0*AQie){VIQk1jUf_s&ZF|JB?i>OUFpwt#wZ|
z1}cs~mNzSz6H@kIhP0z^&f3bbO}J2<14JgKvRt&|Kvfy?u`HEWl{)$KxI9ZPf_3i9
zVIDQfRyeQ?e<P0!oGKP%NEV%Yr~t;ABFPi0#A4l|&}x!95OO5_=pB;?WAwQjJqaI6
zC;IwI{ZEdSY)tL7$tca`jo*|m;4$Fcn4qxN@x(_4C#nGNblUrc6}Pvy|9H^(`$6z?
za_`a&%da1}F1|4;{ivsZ*m+MrN>)}@U|}YJo<8ut&5~h>8olf3{LZ8M`*ScG9=2gI
zeABQz_aZW!%z%WZ80({Ior@)MHqF#yBQYu-xH%!nG8VU@U>7FCRkxsE=YF~z@7s<z
zNx@uM3U)TQ9WS4N#g>k59_M;9^#o@d-Vf>S1u}+qAw@)6yJ}jbMS*8!q)k+Yv>5GV
z9<ncfCVuvGidEC&Qnv-ChPKRGD;9++hE=AcojXbd7Dz#t8-wxs#)ie9S3?Eaw7+VE
zeaOLBF&1xM@r1j7*70dy90uPEh4GXmTekI;f5Qr>-HzBYVS`#Yv17G2r*QL!!UB7H
zyidD5i%!LS&`t-kciqx~9~ZgPBeUQ(C>dn-Q&%iKUgW<x<oKE}-Et(+U66$+7}3E~
zPA=uNw*2TcHLnV?Wmhj>&hyE4c#gvA0bx2$uoy|qhD=Z6Ks+oZ35tmUs#F#v+3QgU
ziIcu5i~JXKyOIrf62`^`2l$r211QTf(Kl=5Ac_g75f+<9x}qH=!0vI;#~wEE9NcG8
z<A@cgBSH>Jb9&Gn0At>y$-XEz;Lny*zMAuj$Y4i(Wni#-NL-mCwnnPhQ^R7#s$2*1
z*h3Hci%$I^4`ppTi%E?4XI+Z57GcYEtp$$O82$>GT(yQQ(Q^w6N%()rEC;@6^?0cl
zGe6!Cp?twAR2vV1w?Vz-?q4Qx3l_S%y4JH_)X${&@D46H4+hVbsw5YV8NzA`m_gP6
zvS^5&JsmlC&CSh;S)G{DC4-FeeulueM42&UmtF#kWBm7{;oJcZN!pnC7M~lH>t0Pk
zSGfq3->Afw^B_M(<pm(u<P8O$uh@-z&5j}aJFR?59WzdX!Zoi!n1h*b@|%IzO}o#0
za^<$88)BPf$cTwOeJ)q8-QxysQ>ir*HtCh~vS-Tg2S)S-!grndk~|6)7~#F58Wox}
z$>B6b<ZH{VI}hyf;_Hz0+?x_Pd85)jcCbf`_j&9%SfixanI2=eT)l~W8y^`Is4<%y
z^$==OvW=Ms*s1tFewB3)e_$)9YeeSUHYXBXpC#o#WcyMw7E)<`(B+PuI>)W`^)VT~
zsh8qsVPwT|U`Jvps%jWVY6$9q!d?Y4^Z9EPiybi!Rn~>3ntXeI{sa}A@xRI1D6%@E
zhR$LzP%JOf%;ldPE3-`^Wb9A?!3pd}NV<)yD{^@>NaRM@5U3(0f?}=TXkux$OkI6s
zH)3P`H>_yI0hfiK`6v286bYDmCxkIAMNJw7E$gRX_v*Riqc}Ts_3_~mRFpnA-aLbP
zrf>7~X_{v4+O*V;0@fm1E$8y(%dovl(!7BE2+5KNO`Btr@dV_FjFEQ_>mky>cq<$f
z@5V1=3yJE+I#*NseT38NpPqebx4xSq+B89}rl_ds<3~=3d!glOUll{@XE6qK!yhu|
zdE3l@+7W-B$xd3n!nXU{H=%G|Vd0)SArTR>h_=_SUb%JZJiB!b=Tm=wjHz~XG;#fk
zW7m19w=#R%JvYED+QdYL(7^&p$Qe#g=zFIX+VV4cW|f<*5+QM9Y<Os&K%*+o|B<5j
zvtO>DnVflBclXT=ga-L0<^7hJy_MDc<{WW7Rwr)iq6D){)bHRvRvCGtFr-889os|^
zpz44Ix9*77^%*TTiQucoD5v@zLw~m|)C(OP9IS6b>M_J}Iu3Om^xdtjzPjp*bn!pF
zcCIH<Ke<e_TA7p04fa(v$(ZcxHP)1`u0^!f!ULN|zb@TL(inw$^IRV*^=R*w=B}1<
z(1J(`mL-a^kI%YXM<Nvh<LD#BKG0y6`sqIMrYOOX?W5E7x144<14EA3?+K6*K0A$D
zZjHi{u(dpJ7R_PZzgbtpMJz2e^*}nIzk0x!E8A*M({2D(o+@R|(TeG{s)ZT|@dH-e
ztx(JBm0?unBr80*>)NW7JHUvhk~JTAeHQKfkG+brGVEk<cHaPI2#-G8HeYdtp{v?f
zH}EYiUUXdW)K9a>C16$xg%b-JH{-vE(Zg+z`L4w~BC3mt(qV2uTbr}{EBTR~eICZU
zeLHJm|Jygk)fiR>hCdcDj~*0{8kPE%0b1dnJlyT7-}-LFJ1|fAUEo{#RZ8P2spX<G
zQ*L;ZJ3l^B;T-?|jngZNs7oVjM1?`^ILmaN7MDw(_kBW~@{G^%#$G*qjAmnD`5za)
z(h74tRDeeI;Xc2#6s{lZjO2I>=yk7>;?>RGCSUx-tb9FV|9oWqyVG@BG{Ct_*!XhY
z4}ry!1DaXV6<FsNxpyDI%&JIPs0n-<l%HR7Tb_trwTA?cA^dmV$CmRGie<PAai+!D
zM?N<OYxOQcUKZ$-Xl;7&tFH+<wqs@?=a$%8J(9uWFG*?&=cP#Qz2A9*Cs=8?+;%g#
zcXpN{WBlU()&&qi=5XNZAgmrXh8T>Rf_OWy2=i3U&n7Jiue2L*#PTRb6Y1m?7Jn7#
zlfRi_ln6@(Re_W$sJ$|&8t|HY4N+jPOQAd#zn!2M9v*I~6Vp539}SKVR;mh?u-Zh8
zz?-U|I?VySrbu!#^C#qK&5X0VdHJo2i`2UwTPN&GJI=L4#_O(Cth3}dG)%hcw@1H!
zvcx_Xl;PObOnFSuf!(N#pp|Fp4WKXhc)LS^GfvEB_liyLM3DtwqC#eP*m%PIEN1Ox
zgLqTs$S;ACx}Gf%p`O)U_C_`~3s6GX?s1zr$!+~Mi?Llb7~645>E|jP?BUU7nGT~S
z#buatsVFQ2Yh;DTzHNUX?7w<SO<C)_zGyk<>NA-Uqfo;5;Op#Eu~9KaXiLE{NmbaV
zPoL;<K?Qk`g_V^8UkDom;AvQRIGhP87x}jdQK%=icag+6KVCWeW^4#8zu7_8j)qrF
z+ZWeg`+L6v92z!jjt4=@qK|KQg<C!fY{A@t3v2qg%(p%MaG;@IXlg3&*wrpQE9T18
ztMMJCQdPWSSp^5Zkas31{_&!{a+*&T8We&?T1QD!C^)b_WP@0lpATvI6W!CfacjC}
zd41ifc6?hbg4>K*z_#5s*~+?t!?8V5UuFG^Dg(3wI0;LGZEE!<1DMY!EGgJk7mk(A
zYu*@kVHPBNaKD%35Glg!`ApmibC9af0*SKA1igaiGx;E8b`tIayo8)g6W(y6^=Tge
z!=iH3+1dHiBU)zl&3jUWzoh%AOGPs-gkF<cWy>tKNPoztSN&QWI-e&E4gD~(6zl_+
z7!L-xo#tAl{eo$Uy}dLq9uN@UyGAfz$EGls<ud~Fq3Gt6I}?o0GktvKW@cX;H9uhS
zJN2se$JLgYGsc4F)~N<SGm$-{B&BqiN&Y$|WdciIhsuD}T+N>kF^_az-!;y1J3e`W
zqUwj-`HB1Kd%0CqR`xmKqHipcSJY8Bmigj011@FTJ?kR!Qu=AK3an|+1%r8i6FlcH
z=}8CC<L1b~-pX=hzH|l-gK}d-hIEw~+Iez^J(Fq_IwR@}7D5Vt>sAl!2+ir=E^jlm
ztk0}I26#Tww7LQLOm2ut2QkS%W(#w+8+EIS)z=tUE!(s9C66}>OURn5xsBE9E3@DW
zc{2tlC<;cx`p@e_75ca1p}~GA3=DZ(MD*E63g+G~-w~F}$DOhs)1c8XNuL&?%3a08
z@+EbGibO1Hb1r72ua7vQtyzT`z{MXwJB14etYQ^fc8+3WV-zyMQ$s0Y<h;%3wyz;c
z3xCoTWN-26^!<4afI`ilr=J+%J3>d2+YWM$@s^p6{>GE_zOeo#cjGln&cqY6pC$L{
z62c})yr?THQ_oTVA{43<`GJNx=3U}&NM$!Qh9iWippqQHGhk=p>c{a(I5jmD)Wd%Z
zJ-8nHfp`j?bS;;7pqox~MW~BbxE;-{c{_e#%Zm_aid2;Z+T3&0byT<@FrlhAkf*Fg
z-h2lH%i8<$?5kM^zr9)$C4AvjP;;ohL@n$NB+G(Qe-DZ<8q+0VH^WWwPmfG&`}(}I
z`(T6otIx&5kI7Dd)}}Hhw~Ux(%ThZk5ce^T{2h(l+nkkj77<}#dDut5-qR=?oMCN=
z+&ExdZn?Gd%1pU*c>ZVrI51F1-l?+@tY1-4QW~xh7Z#qXzKso2lZu<^X?BM_6QHn$
z%MAqG8)Dr6OlS-w>G8tj41a-SlnX=^$y97RrlSeV_qYiUIK<JbBagNevU
^uih
zFc`Lw%wgHjVcNOG>rOSwY}MC-1<~Ggde`T(cFfW>+BF6&GdDZVE)kmERbnD~P8fqf
zFvDuyXR`l8*Pis=+Sdr^)i6O5+`a;fW8m9&G&F2GonhS?(*yc+Kh4d}q2-x81$*7=
zrruL2+-o>f{W(|@ZID<1C9auWhrUk`8{E0TQ*+p+0_Nq`MM!0e%umO`z+SyQ#j9U8
z6WsQDYcsvl;xN#B>3YFK`hJdjqNs@AbT`4RD=yP~tRLfY9+zl%DSphl;<oUKg7@-2
z+cSZ*D+YRBH7s6UPNfbSG=5{kYx9hir?_y8`1`+8m5^E#Ykh1oenDSktGm^|T&u;N
z!}|U%&t+rh$qqMTidO{-r|CxQAf>Tac7npp$Wn!6;`q$vuwr29C}(f@N1Gou8cW^H
zp>JQGorSbv1aeyba?rR%4T+x4nfWHm-k^NdlGYNp_IMLRgJH5|3{OIssdmRzPL($*
za>+q|EYMEkMjlae5y7wtgOpZh3wSV1+fJBlm&t&9p@LtsR5~ANZv+M@uHqSoy`-uL
z-SRR1IDGtOJNDeil>@YMi>|1HnzX6PdiBD=vB(bjqD)Nz<Satru5-5_O-X{B1y%#9
zpXB7^V7~nMGhSWar2u@}6C5ca*L7`eRc3j(Y{~1pFv|6;29LQRrX<Z`EIFthlx(r!
zEdXHQz5I9K#zd?>_r>BCp=Ne%yn{>qK9@kfyJ<Wj(VU*vPS@khHv&HtC{Wf}@gCk;
zy2w{GhGJP=E*j@JTx8MedG4QiC*56ga!ssIGdEe>8PjLyLOvSpP-9@v9G&1G;Xi0E
zf;=?TX(X#zHQ|3yJos@Tw4T*7#Hlko2fU>eS*C@;7ith3t3X7F21lySz`k-c1^aR`
zN;w;<BN~Pv5~oUXYv4-YT@!M5ZRh6>UxjC$Q{XmPhnHu^7;Mq#d*qp2G@`$dD`;OE
zwZKu3{-IX1(Qs*8wd7ayHT^-zX^j77cBTpN$g1_OAQ{$AH6)>SaD}}o<F!XUN$r|7
zbt1POmvo?4O?aw{U*}?Kx~}|w^%Q#ick5MJxlANqYvpI;dx%N!@wv>bs<4BvFTajH
zhvt5~mw3DNd!0^`P!cV^oW1n!M@%gGoXwgvvI%bGv4`VrUF2jJ<M$0qTb@Pj^)gB-
z@Fsklp(~<d3*iwF**<h`6Sse3OHz^ti~CEt&1=%sZ3$@f>I+w;L3nYE3ZiDxPoPC~
z66Ad(*CQjwfSrgWQAm4^;hruOg;VRMX;wg-5d4i{&K^Ngb9m0hPN5ifzz<bau8Omy
zaNXil>$FoKuqcWt1PJ}t(Rx;8vTjSo5^%-=xlN#BzS>Dk;qAG(db5x!fiC1wvF9Y)
z7fN8c5@}kT3Rl_6O^#+FbI9#Hb4&%!C)Z%iWt6Pco+i{3P|3<Edk8;fkbAlHZ7E)X
zdGC!C@34sAos722EJb&5M~b_0UtmSJVHKh}iXL`?ZKfK=D)Ir<7yN(^R@W3PcQ%q8
zI1K)^J~>Y`(Q*OVXYwz-qud4J!!M-XIVgGjz;M48`jNg0cbk>Ic<}=9=AArVngnss
zNgptSb~~a|10o4vEGr8Ox>fd1mv;}1>hpv-vd7eHS?)|pSbBKu%DP`M)YCIjImpyW
zQ?LE5q5M<2_dZkJZhvFhQ|)q{Tk#$GQ+OquD*&E_sNCY@x|gaNJ@EOby5UxZ&QXQg
z+{t>dSrfacNY9O7i*oa7Qu~`BZZj8OHDy`%HI*%E?eA^^*7nkZPeM%WW9?u!u{6oO
z_8F(wR~wGMB}8ZStceLOzM}6?;ENOT*$oHI<dVV%%>3-^P%v?K-X5ELR5Q0=p%>hH
zvT+;Eu8YXgXv5Jc2pe^S!0-l;fi_o;msbkz?1FL(A~b?MbcO<Wo5VJ^DhccXCbtUQ
zlO=rj&(ZBRB1PXMO#xJ+T~x;mOmAU>AFldXG6osKKt+y62-;$K$WgztP;>jhDW|@M
zRm`+3Tg}V$P;Ws{_i^Va5D{V(swFF<H5qfW@tDh)`!6PvmRBtDGd*@88RWuQPg2*`
z1f`hDuEl)JJUBZ81^OW0w#|_(6NAZ8%W<&sda>du2cQdnz|Sv{qEM_C!lJo3aASHw
z_uocf6ofTtz!i)wGbDXD{Tfc8<*{7Ozg9i)M*@2Up&J@^Q#>tWgMmoT>Lf8S@nhP<
zITe2q+<={rSn*TF(#;z;Zk!JOoti;k=%+$VF;+nLi%R!4z*|t%g9~h<!1w+#K07us
zBXk8TW_AzHaN4dv99OR>k3XEdRz17#+Ihzz>KGm(2Bv8fr;TbWH|+?@+gnNP0!zeK
z$S#Dm{K~{{Dtx8}JYFye+HWw8r=+F^CULM#6JIAiE{+sv2<-XzX^4s-$i%OyW_RdA
z{K_{{;GNdpz|>x>Wn{D1Wx_)l+EVe02JXwoU6iG<FtuO-C@EKQ8T{8-{Y%#OfnI~y
z5z-ya%1!RJ3L@)D!E1V4L5oOU?8m-2idWZgo-@fqJ5rec(>AB)`exI7X=jN89@Hcn
zavaV|ZE3Jq?NZ$_lQYKu2km6IY3_}EGn(%r;;S@ABi(M|Bp!{;RBPWkx*=yEDJ=X+
z7(d`Hi3|sBMuzd4hYytOSz@3(P(-}cgz{hiEk9bpEMEhh3C(e@zNCrG47wu=A0M9w
zmjEEYx!@uKwxc^@g`*}Z)TDe$P~yiG{Z{*Rq_h1T_v(4W$nvfFUY)+(m`B6$Ege3x
zsHEJ62Fb|#pQjz0?+9T7-@+cM-2{jzw8Jj&G>XpD-f3(ADsJFgC?`EIe+@>FcX9WC
z&Q<+K5Yg&|x4Gaa3~n*aRye4k1tBaj?Z@q2>rdW@gxnSi^oJgA`H0$;rLUN%Y+skO
zy?)JkzCH)Cqz6&&tzTt`U`qE-CKhroq%qM(7;d=&p2E}~tItyO0J|YPHKn~1l8z(Q
zC=AjIUp;#(mNau=lrS)j?M#Ss5fpHu3$SS3Rvf9jNb#Twqfha3VM~O;q*Fq6>c?l<
zjN(6nh@62h&|&N?Y?1wXF())4w7QNjE7mG~Yt6qk_tC+6=1INh+DT(+ry}!XeXklG
z)^5^EFI$X5`zFS|H2pho@NKnI#+v<cTH9w=TArx;OxMdaJNp&N2c~t~D_Fh5B7sRP
zd}ty?80aAeF6MyuU_PB9_>g~>nya{T!8RC{{^!rn<TV<yDzN(@`=f<2{Bs{|4d01X
zZ)ys$t{l{_986h3@wKX5Z;&9uS><}L^o_z{j_i*N{GQQ!oE9v))tYhZq0z-HI%&iM
z1a09mjPR0<vbG<z87fh%1ra}unNuC_weeEabDkQ2O|aUAR_US3OD8pp-&`NbnBSOe
z_&iPX)D<QBteos4f$P(iz@`w0%yihG#?lcwbir22MIV|8V~mqhuxbkT<RzT{yr&NW
z`n$~$4M>*)yV8>U)sVxIk&ttVLe*#0sQ3JR2cQDWDzO&49AB=pWO%Y=Xs?w3K&E=N
z-ZqpDJ8k?kE4{f#!Y`xe^2dMhm1>F)eBtNXb~29%R_tdT;kwAhN`$8!mn<k``^kd%
z2KB#|2-8m^zpL=BYRuHs6eUlo%SW}&AL(v^PF9u`tX}zpu5o18TOD@@l8f<K(K%L3
zXyeBuQ15t2zOYqOut1!hYG0XzHq?^)=~-Z`+io&)Ckz^7j2yRu-Qf;UgT~(HcLnR$
z-awnq&B8-q7a?rRtk*F8*K=QP<_3~CpNX%5?gN-y%ggaxA6F49x$%!t7=MydWN_U;
zFJ^)7-#RXmZf0|;b~C|7-9+&|!ECw9o>IS-8e?3fgB;YsdniE>EX|bq)HUjUEcLaU
ztb^vwgZ50|I!>_wT|^<6V#BDybUyjV*H7Wb++BbfsB0*(L{C`*6QsQzuXz@Lq#)<4
zh5VBwF)-9Rg`{l?mPmhggI*xU6^->A+<yzKv{*tOK|!og7iJ~~xZjr;5JRKE$1D)S
zz88i&N8laucXTul{Lzsk)#tXkA&2WoVs7<BL~FZmOXht#v$H&ZmK&qj%*icX`!W-4
zT3Xr(2Q06K1`t<;u~WY|@2P_PBJ_Y*_VsenELMlFc!p08Re%;Yg>i*#DgEjZzn}bh
z;5q;-HB^A$*Gbmiw%wxs$725Zk&%(szF&a9278*70}zukbX~woo(MDi1_6~MwOf$n
z=629vPl2q*YchsRXQyI_rOEJTo(yv-&L~8`3?k|Y%BoT*h!yAa4&8SKb0XMqEabgb
z!&oL}Sq9Jt%1gin$i31QA4?_0Im5stcDQ)So|hV_dK76_JbpGwvgUDUYwu0P@EgfW
zzAk`h&$^1=I<fQ@?}?3+{G7|EC*8FU=-Q7pO2O%DF=`LWlY?$tV4UeEKT=kVw-x41
zT4z!r#L<px{$xbIt@*$Nt-q`uNl+`zVkq3lB@e}fOYzBvSIJ5Kt=`|7MpL~~y&d13
zD%nt0)^Ar?xY_`?cVj`NX#BSC{G-(Um6PKYL?j(i0g>D;jtEW{;^o}{_M{+g074Xl
zX||$Cj*BXi1K%vRkQ|*jBe}6qY~~{bKmN7wwP4;UxMG^-@iz5v&t_nb&U=~1$!jTh
zrehvLF{)TVJB~dwo$dUm>(Q&}Y%h(!6#iK{FBQYI*Q>Fa4mnF6W`0{wvYVpMb-aYL
z^<6p}EGo(42lf)971%$2I6D&2Xxu_bY1>Q2CMQ!BSt=_8Aj7#;OmkA9)rWMRf+%I+
z$(0i$Z^+`-_k28N?2rH0AJ0Y{e-Pa*s9oN#Z8)fvJSdes2yNI6MaYlUdUgOl?;PoZ
z!3mNA+IcM@goR81rM}T6rLO(i?!1~a(K0)0dZd|S8!poRUZm4pe|R86mXVU&s|AQ5
z9G4#{vu7mL%8EmsDLgz`Yz<%EKEH;!BZP^)gwtK+MfZ#oERV#*tRhRYRZotkp9T<y
zvf9&$LpJqgyU#`d<h*<)uijV#gp&b0?yp?FY*QIQ1vd+ycS3XCDbqS=ZiSbRSW`7f
zIyXK-xLF3@9Ee_R+xxb@=j&I1Dcqr7?Lzbi*4J5(;%EShW>`c76b7JjyRzedvV$;5
ziBgBpp=|O&5pTh3K`B2zydiOsiLsy+PcS{}8vmT?T1BsINcyZNJo!Shpi(uF<oZp9
z=M;CI=d7D4)0meI&&-(K8%RfMXZ6@}6=Hg17(F|l>y{3Oz8*E@NpPzb7jPRK=FPTg
zyW|t$%-B(ak-b9a=?i7bS7-d7jqT~vr|XM>SmA;Nhptrb<tmI-06mDdjDu^@kOXCl
zvmbN?1qVl0m|mBy9mRZi<kT2|cq5|<JhY+r$lZ3j?P>UGyuM0T|HIZEA#_fx$5oE~
z3n}gsW427Fp#fy$<e%BHN!HU`0J-4i_Vz1QUo#%cuIhyv&8Bs$l*Nu*S~V2`T!!2q
z1BR@sByzH{LRjFVe(w)j@eZKJ=*SR$wh_P{05i)D975FCquU=UKsg1m)ur<kXLv7~
zro;}(TU}ipm0g7Yi>iX!swyF<yv*^5tvnXT)ictS<xByZXSD^N2p?ZrCclA+cATlU
z)Xzew0kjn}%U=lq)Zc~t7pzi?*C2a?+NqryCmEPRmLu}|6}FJ#9vuJrm2RpH`Z9||
zKw`SNqhU5y9l6H<c^Q5#abLU>sgwH9<{??I3^c&MQ^-v0%mV8c%hoO#K3%0F9%j6#
zoCLGa0Ct#bgBoBeJ?_!b5$Fq#+W};%kdw~VZlb0d)0uDesNbp_mi?qGKkhnW>89I`
zUb+f5^EIsx(B9@0t-pT<E(}@wUHMhj_4~IBN9-wEqRveBFy#W2oGm;(s}a5+83Esb
z28C(GJZGQ6#`8ZQGzI&EVlBSQ%^sy|9odHR<<Zw38^_FX{}XZjkPUcM4cEp8n`kY8
zf(@+CZy(=YFCfU;3iZx^6C_Oh?bc)ib!bbI_)tjtVi1L8A`8Q3=cNbsj$Pt|R}Sjz
zqu<Otb$=1td0z7uC%sT6z*O5zr||q)xN1vFc`@aKuSaukAw&weYxn%w4Ra)i-(~dy
z7)o@{5pY0QNw*FbTqhW(38Zm_IlhztnC1RYhFPZCwbaaW9lmR3ij}UDJCw#TYQ?v<
z_cMhZ>+@m@%Tbd%%@ZrghCXujLv>QCtA5ws45OpR_|Bk3Lj!YD=TiLWtGn#VbCA=D
zUpg(b+!fl9D7%Bcb9>o1{;cJ{V{PXrR!86kYjM8n=zowIRj^=CNS-nYY%9CXD;vt$
zH||K?x@lXgU-+8fkuXCHVbqp$*<H>Kos$6P?hP_BGM)U;P6(4<%t`@77Zho|DD@C@
zt~<^0HJ$ZAl<-o(zm_^4v<8E2p`Rn~o4B|vZsuTZKz<i63kW>p#7IuGedQD^8K!P4
zwiPw9z6rIp;yC*-!O@1E+hn0rr1Cno<VOTe6vkol0<MbL28Da|<SCa`@X`Vv=H9~3
z8sdfuTRv;!XvGo8L@FzyO~Uq4I<)A6(m8WqU!6=_*hf69r;SRdg+NrvS>GMzI$KDE
zt!K)hjX=pTxK%*md+H9jwBHPTOCV#^ss(_IK+@FZ1`G!NlG<&EO$up&B8_}Wx@C_B
zr9m92Qs|`s2i}utxcI-7!k=c&`T!ug4u*$faxW=5P-Fj)xvC1)tz59HGuY63eKap7
ztc+{^&6#GrM1QcHGdJlu*K219US3{q$KDF1zF9pVJOHugg|#*Llxn5wCWW!Eb!1hM
zz}7&L6LV=!y~{OOIa{NU%e)lWlT9pVBkwE5y!R0E%U{|7{3IpCjoRGFiBXLGl^STZ
z0@)21AqD2I&<G>%XU%c~Z?=iHBef{5j}#$^#v>Bj%~cv-U*B9Zq_Vtt9zljsh1V{4
z7~+Wyn|94BO)EaJ`<6dw9cQY)r3%G+N9svuf+PO6G{@FWW!~7Xm*?zc1na%(mW9Hx
z)n2T6HFR2Ws%$Yh9Q{_L9VMjql$g{K$s$cmVOIzwAZsr_LL87T$yOF$sSdZCuU}DB
z0OMlEUz8ee9J;_~#zUN757y`}UxL^|00_$lP)Js;O-2<UI*4ghemsx|biG8-UqRh>
z3!JV?s71Cb#9A`dUw>~CWLl2gJmR{#xDcE?fa~9R%Q&@Drd8|7sI`lWAy9Y}m6eAo
zT<5ZUA=VC|VMsgQIO|h8o`OafDb{(n@QI>V_3B};(BmeOshaGqMh@m;AVRw2^Q-4-
zbZ_Vl&XrNcs41`;f2-IsD~-ILmFmAt**XM!S$?I_Ro$SrX+(1+ci^j8sT3h@0O1?i
zzPZiq;as>_hv-w_w=)aC0?RC`3ghJWky@^m=-jA`rXMNhaSEA2Shop+aGV}XrTL&h
zVo5Ts7vX)=w=Um)nEEQTwUBdhfwri;w)WsT>}Pw%=Nqc2+tLDG)q;NXBX^nykIL`!
zNeBr+kcPqvN9@SmM~!BsdjRDsW;j1>d%iGVql}v~2nq2_+_}oS!}SN~4d4_2C^F{q
zRxMFEyLcS7>h!0)EZu*zv(5KsH^<iY>Ycj38vh1rgjqUs$NUf4f&$F^tx9SSb`Q|j
z-Y@YDyw-$wt-a~{S>ta4Z!9>AQ?{na0~So9{B{fMUF4250_cl4Upxc_NzgnMN&bUQ
z0#1w>Ax=75t5NaR;?j;-_f?<Pv+KE=28DwGjpm#`(F<OptD(`+=D6Tf2tq2=lq*QN
zt@0nF)_3b~_Z4}>t*$rSTqJRPk4<BSG0p7pv=3o~+pTlY<-(?0iZGzDlGC`tUY1Zs
z0oV8&zikH(ar-79*^I?rOO2UL=YNN!>->Ps?i6*@?`GV%`H<u#@$HbP6>sa0WlXP)
z75mVssg;~J$IK-}L}YP;+ooY{daR}1EsRCGOD5b=Dn;TB70#!ZXTlDi7cS((`a~mf
zxUb0Ke4_&CBU$7>B`ok?dMV9!J)emKu);Bx!23~X<!nGqVk6A^T<c&@Z#%D{p_Hjs
ztYzbD4a)1O-4Wpv+}w`oeRi)lz6BC0Sn`p@n*tYYD{leXNg#f~AA21am;aG2$z#K?
zg#7Z7z}1Sj9R(B*EliHE^q}&;+;#@=4~VY6gAH9oIyIsXk&Km5o(Ss$bcn^_zWNo<
zf@Wb5QOqXQAiie_(-OFDdbeHi$%6t3yEmF%?9|L96Q+OQVD5LO(Io^N3vL6LZmkor
z6GFM14&%7s79;Rh!XGq#qyW&#x|h@B4irRO^;xIM6Pw*}wIyoMiY(B|BUo9fZEs&_
zs%>oS4ow>)J7TRq3g@*oKhQ%Tk3OJTS(dNFf49#_%7OAkQYWqO`aY<MCcawsyn;nv
z3c$!RMh?NNgVSI5aowQ{ilUina~0-SX(W8)s<3Fns7|x^_;^x{(2W>Nw;IuHQ|&ix
z(HXB1VdFh;JWUa|O{lS)A5Z;go77|BWAy7i1_PN~l^#K`OaP#<*G4NAwnn~2uo4Bw
zV60NGT5+ZnW>PWPSy_PYRau-k(OvRLAxDs?$H%*{7ka|gymB7`y-`f>)*|cG?pviN
zgZ+B^hTZp;*jUFxbOufyTX%FiH%v_e!z8IH6}|Im9I8I_D0vwvb+sD*lVgQU#t?Vm
z@Ma2pNh4S(0Z4On<X*fpNkexVLq|=m7b|(NzfWN-7d}RL<xiNZ6mFaSu2329aB|d}
z7ME%Sj1_^f`35cSYz1LEfS%;ic_~5|{S?NKAU-U=|I-`oEJb);m70bIs`}|{u!k3^
zFr_RM{uS=5Zyy?ElL%Q@yzclzPBJ;UHppDjgKpE%)_m^VjX4)HOUDVmPUY-qMKdz8
zuI{ds8-d`S+t%247szDc=3yGS0}$pt$>a8|6Upql8rsK^CA&iMG`pe13}9?W@oq?z
z+>zOPX+iE-?jq`H_oVesr%rywT>c7^{CwBj*RL}@Qv}7uedqf(q<)UZQ7+$!H=X(R
zSze07_k;l6j8=jednQ2LP#H;9e%&!{svRzy0T0Qzc2d0iW_(Aqxk{z(mR+=G>pN4*
z6s)qcGH$@zb`vJ~UcM#Rt%GbXB(8&%ASDAVE=3kB77OE7&;3m^l*bE<p@0OM#d^0J
zLF*o*!4>9!oMT5<XI!nbc8&{id0kUv(bX;Z)~Uox_Cbf~$@8Z!iWwP}k)`I!j$Lpm
zZPS5-lRGdvY(`<tz&)FKUJ;&k46IKeQ@^@;hX>)CDV)yza}HfpZ!XYa&&?p+sCbIA
zhV$N*hp{7t_GZtp=<cqr3Y}X{=*-2cc?^`wtoY>Xd~3S`{vF4-4`yC`z9OW_7+JxY
ztCMfw#iJ)id-cY`mUZPQ+PSS*ljfQn?wW6Rg%U#P`8wkiNGKn5YL~sQH)sldHDluz
zgk2uItv`HX9pru7HGPz(%n8%kK=aL};%Bu0Yv6gQI!#+Xt1#|vXK$~4-h{lgN@4Rj
zQyi%~!ot`5N*aZsN!#;y&(Nd5nqq00(ML6=OA#%`<Aw!~L_@>Lt)nt{>u!J9;Aea$
zcf`2nElRiyy&gMjv}iQFTwa(|>!JYI6yc|9AoTnapS39fE`id%SIt)<^j^4Oq(Z4(
z*mQ(XDb0{6CW=(<lXDkA22y!c*U%^Z`GVep?|MzaLA?q)xc>kh10z?iuRO#(;X2O0
zvY#R<EbKUUkuu&+4LAC5Cadba>U*e!y{3$4vu`+ZyQlhf=APs#LEVz49n`1?t)H*V
zY-Fm7bWl2@@iz_&tS?G^tFRq(r2*rc<{fc;`*l*ucKTKD4}x7GP+dF+fI$iSxJ!QQ
zXQ3N_P?;q3lj&%G@bkO4cn8IXTb4+hG1SwW@t&^dPWL%g>s99JWvZpM?E$#?$H1nh
zl~Uyv%Ys=Q*K8^NE6e$tbW}L?E8gMLffq5a$)Q#`Hilj~$QAeoHi-^+`{joew@FlR
zr{ab6BtF)bFdWW69|ORM*i@>WkD;mOA1d(Q!eFjxg#O-WdHM2uA0KSOfDYP}@#^(!
z@orJq`8^NDC6Tz5Qt7n!me+0(b-w3KR*ug501Nw*(TakF|IO`cJ=<0+j0IYqu`Tcs
zP;Shpv-V7r*kXuv;q0Hl1E;&V+E|+<Xt*oaNfz@SakQP>5Sn65p?gfS1ewriMV<eN
zU&sGq@2jJ#TEDfiK|qmKL_oSjB%~Apr3LBk4gqNpL_``Tl{|uUgMc)WA|)Vfa8m-Z
zrMv5!YoFg8-@W7h|NZr?afXAzVaIyceCIpkna@)eK>PSTZ;x+}z&4LfJ2|~q6kQh^
z-9a9+OD`_nIF4iD95f9f#MJ9>yV-TsM=mEl4>TP>Nqaka6AIq8$0~uVDx|G<mExHh
zM1R@;Q4Q#l%~S<Ubt3t?D0BB(04+oGb(L719+`TB;?vWmac?_DOJ9i-jOU!V%L-<s
z!+lk(Y2C{-`iCNJVA!v-nK={zR{52*6|`Izyso9+*UkNLyCRQ`ERZz!wc3L8`3hot
zoxfKl@yuh6nUXwqN0{#mjMgq!MES0`%!&7{MvW#58F<eenjgP7Cb6{W?Y^_~Z35zw
zO;7SU!j|CB35Xg2j1;E?tm~k<;R^h5i-B)psL#u4?-~EM#{L{G?cmfmg414VO@5>1
z3wU%7{wBz^<)n+l8cQKv4Wp|>(x9mGsFb5^I61RoQlWl1B(<nRWALMWqD8e{YO*Lw
zFP2lk!$Ehhy1Xy>%VrU<{#)hVY16Nn(tiHJf|r=MMo-g^f1_^mmNAgPn@roG?S8q5
z{A$K4Ev#G=QVD{Q0$cr7@mo<8moqTE;xj_SJ>F#M?4&Z9cP0&@KS2eUhd@3v-M%72
z_$WfAep~=ESM(@mN31WJ!PCU#Xm6cYJKphHwzSI4TesZwQT#nT1bu0zviaIB`j|QT
z3n~oxo^2&ZxX_UG_qFe_?L#1R!9b4c9IZcJKNnK`x7^iySEr9(xD&VvHC$4G@kce+
zs`7^5Ho==hje0dUE)EW<2PuP@bkVA8xM$5{pE$d;l1hj0J^(ZhQG-1?-u%K#NA0<2
z`WBuN&T=)jVHn{1><PUe2p3sogWhQkRBCashC)J`@54$&I74$?_@j;2y}`nHUeqQ>
zSNMQ8zx~AKm_>#T8(G(%jr_>&1asjOrQMyKg9dK7E)GIKuQGg(X0T2quV=ib`FJCp
zh3s-hzP2HPBRjp1=x;9(Vvi2~iLt$T67Ek_tmDH%zvCS=XDZeVpcPLNl5oyGe<*Lr
zCUWK(oCLsk4(OL(=1A_p89#sXN=wt`SkBLzbge(*FFHyF=jF9OQ6QR2_~~e=z+=*B
z<?Q{rt&Bqw0H9rw_|Nop1*iLYZGqWy)^noTrBAMGy4sC0D1bINx|y<ev$qyl>@*}Q
z#1kh|`!I0YFon(pzESyX;1dMkdGzI$k|CRMFFqfJq#kI6kcG{N&c*}f<~fz<nNl-j
zGk&%Wz}#Mb-EXq4jVeu0cm-mVDr)UoqPGnHM1WN;UBVtvf>1Mh^QPFaQT()h|AK+8
zkUl`VW5RjkR~Ht-SFQw1eUAfdR!nlkwGwpTPo-g)9S4_Vt_{FAf`BCaY-tZlVo6HV
z#4PPlZN;Ah5kIHTnW-0Hl1|3;8j2`onm6?&gIVN4(<8!@fg&MA@Pgn$zGlsjy!@VV
z1(jG(u)Yy=tw(tEF;ff#*S4H!E?HG~clYwqSg1uYs_0ofHz3;UFI&qO{>Tyvfx%R=
zvO==Dde5d<b2V*n01Nr$3@Gh*bzFmh8YX~(fog=GDn)&rK~^AK%6L{vQ<FmO2be5J
zP-7UBuwUz;^an_a77uFrWLRNBdKp;V_;0Lu1M(~{Z{4Hr=|&2XGf@BR?COT*Ki6~)
zDja;Plc#?&>G{;w&|~m5eBTK#*UwfKwY0cUSEEoe__8zmncaI-M`ue~G9<UM*uBRq
zFYPfy*(e95?rCeP>aU@pxIT=CFRGt^HLi$EJxSO7ejEd9-m!yr{OVyk%R)`V`j^_B
z^u4Y-1T#>@2ew3=3h`e#EOO#$t94Vffdqtv`wcXl;S?7ie0%s3FSaztZX$YU51t?n
zwtRCQ<KyM!Wo-PCXkeZoO+=U?ssjnQiSNQFqP2A?M8FPJcjd)IUEjVIj4uBfO>A*w
z^CIuSuVQh1v8IRwI#N6Jnew?$zcZ+qgy-hTu>y}mO?y#~IImy=D?Yp{j~ShCCx4F+
zjIPps8nu(5d#V!aA=)sTMbPq3?Dx=Nhbo7aHBI#hqOwFAmnvG>0h`Oc#WMW#`b3}1
zFI|vI!SwUyGjwgNtv#a*g5%GaMRuUfwx34W+05AZfl6!+ix{00Y8x0Dhr)*tM7$%`
zU2Zz{0zH;$F{<q;hi(^TypnJQsqODKLs@!$>t}X>kTtBfM^GNd?6X@=oDG@l8-LOc
z2%?@w-Gvw#R7F1W=!ovxm22zsMUC@J2Mz$JeLFo{l~o^wxw9D|)3Pbr9{8Rd#vEb)
z-lI)XnoQ?SXOVf-K9g%vUMbYV9-5VN011a>^HJnt_v2krOxE>zC?3TQxYjuYGtrMt
z<H%WaA>d5tPa3m?PA@R8ft4)@V)xWO48_(PXr3tFd+w^W;rRR-ReY+w8P~Rf^}S`l
zngg*)Pdy7}tc-(~$kqEpD@$O2@qAB7;Udh1(TJ@dgoHSuZ4MhcAeU27cU6gQZ(lK}
z(@Ny%g7VCwgAK%9`tJ3=L1$PlvsSNT=UkL3lYA(PEImE*#ful+`fjdzh!!o@AbSBE
zRp9T47kgGR2j9MhtgNgQdSC|VaGT>(0aQLEP@;P>4rWvpLnZdxr9Nfr)<-((<mJ=O
z7)<`Irnk4ZU{!G(;HD{>$xc7xeT2X#z{tbH1JcL6^-`;g-k+XO4!QbTSy_=htf0k(
zQunZHy=pFzq+F)SM;<vCt*a<5c6>F15!6(p=fOSO;UpK+M!VI*L;AkyJYC|u7h%#<
zC<fr*!)1__R0i00lMXhioP!9L!>n|NFaKRwLyoQvd&$iXSO*gB?=XV)l|)oY_)k~h
zL*)%zx^x!4_KTM;0g_QuGr=AmNTeM<v%WX|`maD3EiMeE0-lz?2hKgKfMYh4^`u2K
z1GSjfXFV?Y0ho-CrV_N3@uCdc+}s?pxtqAC#5&|Erqk+>u?z{`2o{N86a&C$p4fBm
zI2!$LT=RWb;C`V(_YOhESDOkgv2g{?QS+|I+|P`%^RcRfuD<k)>nN${Pi;decg}V#
zgadrDVf9g0m*e*mx5-^@y)Q=S9hb}y+O-xQvw$XpJOK$Ip)c$5|JN0FvSbF(o;PX2
z%QmY{eYP&6yq9HoFQMzMl0a74mm-hv(;wDg9CN-_Zp9o*{`B<Fx~p70R57kZdpGYe
zoje!9Bybx7D_XW_pM6q9Zy1$qG&56s6b(&`xo3Gh2JCZe;@`bBUo-J(JF8#r{W@c<
zXuqv(JPTKO&PY4Vmw=5_AI=$w`ttUNPUgHQ{snhh7X|fD*q?FYXqyTEh$;>e1o-n>
zP|7gHgk1D+L9%fe4i~kd{h+Y3v*XaFKW3p*7!R~IQ-V}OZD_GRdx5-|7z`y9{9)BD
zKGYZe6_J^4oFwj~9sy;6>=*nQ22ag){{&N&t=X)SHYNc5FlV0e@ZcbQ*T(i?G3r?3
z_&HFdDe<*yxpP&i3UXt7EG#Tuyhu&H!kS&iy&o`XwmsJguewP|2}GOD`9q1xq7-{@
zbj0$hL|-?Bx-v}Fk5xMDd8=jgv&4mJpzAy}VF=y!jq!+`z-}uk64j(&%ZW+cAka8C
z52(~lWrJ@&2W3PS@T$n8)s?sSd;YGhOw{B9U=JvDY$}!vl3a>d<T%J{r7t-`2$z;d
zp<LSFY*_Z;pJeA|-5}v(Kh&aQ9#A&)dY10l<!di)H9eKPE2hB_d8Zvv?N{1I<e1;&
z*ys~^bggWQ!A#-K)|Q=P23W*@S_Q<A0!K5%t+FS0X8L#mX}S_0p#9(7qNE&IXq9J$
zoN9e<;LMTWrmvraL!|iEtA--~2z`%;BDo=G`lk4n&}jw*<}&`BK~1V{HjFXmY4T>}
zs9CIMs%D`EV0tvhJF}c`TEZ;QkPXZU;RX~feo(N;jNa={4zT*w$P!vp1bwt2A9>A^
zW`FzwMsUt0HdqIz4ku38s9i??vx((EV>qisZ$-sN;s^XQWaF7i!I@wAD&q%`Yf%P`
z%GAV6h)5YK#Kjb*U$<y!o3C%FL}#k<zI(hBf&+4>5>W3J_H<Zp&$)8c)YLS6oiKSb
zH#Zl67HnjAm}D0@){mc`Py(L|5*;L-(8>}6kgJV$En$>h?sYSZ98zX0xQMj!?dW8q
z;{(xF&7PU6cr6L^rRgl-FRA{H>r0?qJLi9tB>27hCy}l5ZCp)A3(ps)pdRw`U!f$Q
zuaOURb+AvnuID$|2_DLQVCW(tv5cZ=j6o{pKZHHp+$vRb6_k?gtCAv3k?E`G=QBnR
zh=74d({J94Pn#v2Jgm>FsAZo$o}BdjgLw7!k;tRJns9b04u(%~StmkO7bM_ehRENw
zi3T9{BjU!C26Z0&{EEM26CD`Tl<`;{7kVl!^lNqppvnRRqH|2r@0>^ftibFJ$%aiv
zouJb_e{*es{1<Al<DQj+_J6LL%`5rIcL@fGu}oow7CoC|2?9YyriZD5yiUN$&5_V0
z{fb@`TPq>4q>7NU?3KWbxl&ISD=4K>U#|vnk)nn^cx-@!!!_YZ<<pJ$TX>01iZoM;
zLz_~#e`u&eUhW5Yn0(FRdy!As$TB!zH~$62dl>NM9Oi~q9}&Qsg0F?8rQ+aEzkhDN
zzeRjZ<@ag>U%$fRc!A_8YNghKvRxo5E1n@F*=)y8xbx4>f!BSF$iL|<B$DZ4wN8JW
z_dz-XmR<;BO!?$HrRnQts|p>EC^X_H^7VyI;p$;3=J|m4Bg%`F=1NMb;6GFvz0^MU
zxfQh8&T-xwxgGd(aeL^Jj@&#px~Q~IkdvO=_4sz-fl<H{mT-XMaTZ#Q{62h<(O+Vp
z<igeE%s~zmXzOR7iSgx`vB`7+raIF8wefvc-??sU^}&{B`~(j<G{7~9U;(m~co-ju
zti&D!WnU7R7mK!Gq8|O=TUPg0S8H%>DI%<6CU!us?3a2^*;?F#lxUqIhm>c331ZCJ
zTv9ZbKB=LQ8~UtqbP)h3RsmjUyL*vj_N3?6mqzbIGmuC|f?m{0%p?8pMHr4+)UKFh
zusu5L>Xjq1(Dp-zT(xd9K3f}q23ZjG0Ctk-=Lr~3K#}=8;7UNJ@>0P3CrpMAwB*><
zKcQp{WQgg6u1fFP9&DbFka7+5=K>APt5i%)k(jVk{9BQyxv}XSoU!oSN>Z?AK+^lH
z>p{k4)G<fq_hRmBZ`oCj*$Gq$H?fCCD=^ub{E<A({Jr=p+C9VmC6Qj2aupeSQV*=B
zX78=+be4IUqdh33zZ;3&N5cm0i(?|c>ckv){^g{d8cE1!d-RZv>$vu=O!b);`SmH$
z=ldz-neyGAN#Zg?Th29J+>`@39X+AS%tI>egbwNf&_5>!2biYI&8}V1-j+Mc5+8GJ
zm^LGU4iF**&<aHkI#jjr(8hjJ6>dK-`Iz!zq%GPFUDmCdI|8=abCnt52V$&6D*8+^
z2Y#E_pr2(lOiz~Suq!_~d4VZZLYKYRnDuNKFjwA@>idbNBm5%>%|MzW)MD&FXQxXd
z`HUz-tg7UyN6#Xu^l0pbZqBX^QO8lbmB6<wVlW)+ddWjJ8uBTqV;Hy<(}vDw>a3@5
zpMOwS&0A?7_9BO+7lh2qN7dBtLbH?agDYv~qyV&f0Z9P4dWH&~VInD@r|hdt*JJI`
z@c6(xsSMqdRiz}!8wy>m4kS{E9-I%)vs!iwBQnt*cB{MzF`C7{x0L>2_Kfbm@_WtK
znV;XmZ!S#5##<18ZtnI~oed)jBWkAX%0e2h0kpHu)i6(?l&xDBKO<CWf7n2C{-r${
zn1<@|^2W!<!EuZe1_u=vZ*APZF})(xb=BW6LW@I&HI8hkOh?eYFh9?LCETt3TI<ZZ
zr1A4~AqVZO86k+5XhMP-vQ=$vr~3SUokk>i;Q<S&3?gZJ?$Yr3t4-g@%4Hq`Mp+#`
zYF`p~ma%eem7@fP!kK9<6E;K4%zY_B>jx7P1|3dZh7F%fo*2AOV^1i4#LdkhyRxv*
zX;wRsOOPqD=>`tnh!<OvVoJ<Xk<(4=#A~cx@P6v()Lg~&ZCr=HskXKjh~cfCeaXuU
z6Nx92zD`LA<50jDT=(p^=+%c3Yr<EhAB2XMLJPZs>+Qrf##ypQg~cVl+h$0<9$xAp
zI&P;yk@iGzI+~%YY|Qh_M<noOjt!00DHeqA2A9s5@^S!=(DNr6u^RdPb{cqe0kq)Z
zBO@DLK;Z@ELARHkZUU|^3u?@j!RhaT!7e>9#X2$2#j$$-RFuGX5<j4+tiY>&!s=&U
z-2VJLd&)V{zLeAk;vQCrAikP7!!Ddz%f^MGc?g4Skn!hP8DWvh`nAv-b1#XyXDvEq
zD+gHCX>rp-2C4L(EDy6}hE38w>xFP{MkrQQ8ioR^L4T`M$U%3xO@B1y!oXcc-Lk*O
zY|@$ifn*!Mqv=-I*L{I-&{cyQ<y!ATvF$bPI{xzIZ(3ZoxIoOkNZZ$tgz=d+1N<7E
z9=RVd*Dn3|@pT{k$wS$A{SKJL<(bwW7b`2^PpbG^VikHa+d4XvVG7i_`33F3qMc!~
zDoUW=_d6M1ft1nOY&Ot3QC_DEdTxQq#e2>S1h{k!tF=Y)LNJb$AvkpTeNs~IpN(+5
z6h~IrrAq$}ln$cNhts~xi^|=j(J_VQYMOZ3BR_RrMm={GUjQtFfjBH`*SArR3*bUl
zM*^nM(fqTyU$~NkN!DbGgDk2oBg=R4YReC&0=L@h_8((qqg&rkdG<#6=>dSEkffQu
zrU*ZPwkwo2_(93@<jSn;aDGLvcAFSeDk&>#=BxL5=BkCu6@UdyP67uHmwwGpI|2Dj
z6J#>xnG&Tb6dN>1K_#SZW*ri?Hu+uYuy(^*H(`PRHMSHb%d?Y$ii1~=<P!{nJEBMJ
zdda(UQj95oxh1(wSn+F+OttXT!81}@8n5h8Dk48mx6qxIk}@7!b{4udCAvpaEcAg=
z5`18+m~@uIhFXS}+M<|FGr>$9I#?nZ+9rgpqaRBkpc%-1w^&<5-_Nr{HeP`#fuIF8
zHON*?oC?Q28H%%hOg(B}qO&<+;ppfHXG6M-b1xK&*y1jG@`YEK)?~OeqjhR;s}*nQ
zM;utP0!rOB@qxkRHvzQqUBHY5S{7Bq?5c9Gt1>=d3N^<4tnmcpJ~*_RX~!{GXU3re
zXumxB9RP#bB$oPpcs{2<%l(#7JJzgk(@Yx>2I)c*d{n86QnGQp>kDyV#lGX~F!<(T
z%h~08vtzeTCPR{yOsd~T*Ttp0$AS|#K#!~Me3rEix^A7kWf#)LFW*02LT2WCQKb~z
zL*(Pq<tj<ZqV7j~Dd4M;v@SnDxk~18<QLg;k4m$~NQLl{NBF-r7f$No<mi@HAUvDq
zqQq(*&dX#4Ev^HBgh>eGzhDRc?bus*;Dprx?1=>Wxqbp~R-Vnhl*l%du&ekjJaVh^
zGI{ReG=)@sti=p@ca*z(#{@H2zLReU1MwVm=Z+r>3Hd&*Ff`cJ-6X3u7io!K{FRp{
zUpC;EYseL5B0m-T#=7~S)!H<XcX<Axo4z}Q(c=z}HWvt6zM1ib)z*qY71RzbE`Cpg
zjqKdy)w5}QOd-S{w^~C`lj(9}5J~kV@B5`<5(~X7S%uJiWYWGX)gh^=C;6J(0t<00
zkuu&bKLmRYHv3M6*cz+MY~0mUxOMnbT~+{LHxfS->D86g<E6anPs?$<+rq}Y@W}KG
z2a?rLUQES2>(wnB<_w}LP=^$4B7CobB8VGRni1P>g7;nPUJ3+cs%)15A3%Km>+Z3f
z`R~jqFpQck+e9pB#D8KRT{YD4u>N1jk5e(3iJe~;k5eLI2kpe@FHZkqF79Qyqf0sk
zFvoB6&#WvwoV=I=tvETiO+^3kefo+n({3&MTu3^XmLU0^ge=Au1uonnVNb4GQCK`D
zQf)+nepwkAr2>8*qi4^6w>&rRhP0I=t|<p(ky~2@q|~oybJW<9--Hc%w>sGkZNAu;
zf&Pqx66yhwl<hCU8xf4YhYyJ0m}$H7HRA&Mx;Y)*D_YuFvak!m=~4!X?WcKqD8|6^
zCmZb7&NnD)6ty>s19T@&j+%xV49r$Hezg{Qq@?QV6zA7L#}B4R-l*P)>R>g^%X>65
zcUKX=<*h1Ps0pxhGqUE*Hii&_Wocc)o=g!7+xLX2=M1$MxuWeD)gFOrhwHexce&tg
z9khZIS&NQNDYR$Jl`JlOxNTca!54xd`06Fxq57TwDfRosS~stnWEOO#7&i6ktyDl&
zw7k6|W3HX@UWm#yh+AY%6mUI*)_t4zOi3K5ZvZP4X3S-rabApA-KxBxGLI{!$hQxs
zo%QwQ8(Y$m5@=ttXIZ&){2ypr=5}8)Ch~0&Nic<Co;aVgNu2Lo|MC+V&o6dS$MFoa
zU%$do`6HPXhCo<4E7OlWH^SPWhLV9I0q+jsYOdOBpo@ca2C)z(FK<z%?g{01=;eKg
z8*Q=KaqYXs8V<A2TA#)u3tNHpn;q4z{xGW6GZ*pl0L#&*sgK8z7oY9Xm8=o}$L^ls
zs>XHG07hIz^6z7vwFYC^#Bq{_AH5pK1zR91kpa38#Z+5?ycE3U2Y?~l60PF*R3Zw5
z=`&SR23egyR?9i%UhCi1+F*j>hdJ;Fq;Uvtjq?yl26N=cyJmb#ro}Deu;i<L{o0u+
zMLzou5<A@vjdo~#6gl}pE>mOl91U4bj8vy<f;Nh?W>H<E+)zx;8tQ{w3BaQTqgXDt
z3iBz(ty_7*b8g<xRr^_?we^&wjmq}?&h|E^I3)xl*;rr9<r>y&DPx%V?E|31i}Y;;
zl4iH$*S8sxK75#mn#sya!_bH8^nrnPAAaPs056ji1GI$0M$Z*_ewz!Y;!Jt+{rt!1
z;)-UsZx1=}D)Rmd3xIZm`1fWl<j6jg<<#uB0YIqVa2Mm?uq;<avhkLPOSY?VhUk3m
z6UusFk4Y_l10n)?<HQJ-7OJ3YLBD^j(dkEZLDwKPTJ3^L_(AF6;bB5;GaoQ_K>d?L
ze6eOFdi$4|HW{OK{2xx8LdEz$NpGk)5WlZJgg{T+1r}-$%Ars9!MOi(FpocuHxElJ
zTKc}iw_na#m0=oxT(EiwVCD3~hq_L2c4CD>m$U1(?aQMJdM5+{{la;<t*eX!S5mh^
zlDzEMyzN=WjPI<{gZvU5uN+W0H|FK>e02sxdS^a~j}&YV+rFU+U<Pqda4KArqJ8?l
zqdU5_{U1451Njq1dptGWl?!W((1na*%dvcb->se$^ebv?^s`%9Szo`C&LAAw)AAOe
zMCPpKa6qrbx;!OiL}+0~hm@~Gb<C7%DG;?v@!41CHmpjMTuzTZQ8C=rX~aunArGS#
zc5dDE?Qp^cGReAyw*V;eUk;Rj`dbMVBQf6Mr@Ok`S9`gZ$L()$%2$v{>spWOEG-or
zJ{0K>z1l;-^MXE*x!a>M^#yMozu&3P?RQ$a%5kayYGQx>qGs`+X^Fj=f%(X*uV9Z!
z+t$jUF=^l0W^evXeI9SSl*%Wv!~%w`yoGN{`5o!8&J9N++br_MqGi5>q|&?uukZr0
zuE%eO4y=Upszle;0+U#1x=~_8FWH3${Nb(ZGwzUinHvT?j($G-?V92sfKonJiqbJG
z6s@kVqWC%4@@RT)8ImAbFb~})WCmTjSNM0bstn8Z>%#qTz=v#OP>Q6|vp_U9lCri7
zF}7QV9v7lZqBwk>YZg-*_ym+<<ZMb0)LsN7`*`M7GB)!7btH$`E7Tz*zUg1&CVl$i
z22pIe-#ITzV>b8Ok0ZWE<u&|u=bU~1h(7kcj<>)aOB;LjAv5jNl!jCeX4Pc|b%Pb3
zxxg+m?ajOL&sfa^Xt~gMeedrZB(BywLGsfPH7U&Nq(LNwc6eiaA2-fSd(Z@a2mO1O
z>g2_mOx6C)F&+ZIwMc{c54j$bKb-uxH+eG~@N1g@{U};Y@tj%=UV)GbxQu|$uWiN&
z=}bd>fW<(mD}6#53RT#ISCAN?g5D!;<oC1r7+qjf`CX{oyn{r{tN2IEsw`7X*NY!z
z1v~^X%Oerpr*fSd0mL?mT?G#(=wt@~*vDPoMToLXHsI$!W*Fo*#g@U@Gz4O6#`tv-
zGcE%vV4ZO?dig%?bkF-!y??@~@0}jG#G7+nH|Q1CB;`!J*AVI0)x)nS0$mi-?%iXh
z5Ld~^A9-LT44AQnF^~>sWSI6}eg;_}sY|t<rY0)?imxWAd6=Xt8z9A1b)780UeT0D
zrE5tQh%-R5T0j^uhTT7y0-wkcib0Fe@!gAz_iP7Ur!O<;$j*KwG1mlQD^Om8F2IZ>
zRsVA<b#(|a+2X(edl_Yk2h)o$_KXg9(R4vWXIieVH!+$4FWsz_SmTgvvoAtRGL}JI
zU9glZ(U=n0mLCCZgMk>*z{Nh`fKwbqSY@EJ4jCP~@)a%gw&VYdH+~Yv)B&IkX^7-=
zWh3=MWvursnyPWA(5c{H5AA?<?gs_AXnr2#ni5j_e4wf3eoUS|+STxvyH@bi$37of
zk8K0<b}hA!_M`Go<hGOP)TJDM;0O4teg~c*@MLA8$_OY>1!`3{6BygJlX(cPo5HhW
zf>8_LbFDvcH{(42Kr6R`I;lYvO%7cP$kl)#-@pe85=wt}B!Wf;G5)Rhig4VR0qTeS
z7;g7)O(hLd>FYOcgx0*%lz1z$P-s7I(G-yMs9(@TQL^(Q1sfFq-O4l$PZ!QvOb!I8
zs79c^$wGC{xjMOM5xS&AP_@K=ts?mtMsWc>z754|I4{6=PVemjupd(`O7NamE?SQz
zTp+0j7_&asL5{y<xyKHvpokr|q;234Fqfy#dxt5o``!5W-F(G**WVEoi1uxk^+<Rr
zkmoghM|owvvAD?M=lQpSz4p#{`78r^iWn+JHc+V~F1`_;TGS}|E{Q~Z@UAU;WKjpd
zVn!?gYJa%u5Ap-53;;d^=lYMyvF(CeG!ip4m7_Lp-}mmc_eQ3@gSP7*00J&qQ30sS
zjTmchpFpaxq=Yur<WbSBC64`~8k@4XFR4jMBI>CFSwQdnIm=~kbAR|;;lWJAW(!5x
z_Gg=XI(*$4ZCUkK-kt(U<5Nd~MuX-Q*SPom!hEhxT|7TY0QZ+@UHPB(qt_-_2(Mgm
zo3nc~vmoePecZy|<5o+(mpW?0!F7`;$T(kJo~ayKc4Y-tPoOo^B#worisb4PZZN+(
z@^NIYcLxt<Q|gsJ<gD+mcwLLM4VG3vuBcL{Fn92dU}dTqaJCk$_=q>ITL8ij`JXYx
z6?*xu2bqaG%pZz6ApR-6`Rf1%3srOf3hhj9-TIx3cB_SY{LT)-EY{S3jeSHqp?Ckd
zIefA%j5v{JX7kf8hbq*s5Kh?v7z0)qv~v^GM`gy^B$BJQp_AQ6h{M{DBL5&iT5LI|
zrq-B}Dp|j=uewMcU|Wu(^~RJ$lA@0L^$=PeB8;OrOAM2{cyuNuN0aotq~GM(TMAzp
z150H=t$lH*Dnw}lP7l8LuE@OGkJAXxh$RZxo`vW{0t<;vVUUfMw^QD5xFxBK>m(gj
z_nB|Z9?BDH0E8%O<_TXwgSN<WT--$EWB%>?q>Pg;juY&cRX_5C1|Y;QY2!hs3};~=
zKnmp=!=GQO(=bqPrunTosQ*)}gEjZT&P=jly;p@sJ{&BPxEMOd@F#qH&H#gVcjrD9
zU!nn^so89+l+&2YGGhzZc@-dIMGi*yJcP0D-)zE7RUj#)(Y@iQHDKkh)8?Pjzsc+Q
zVow|XW=DTO7hF2|RRM$*_K-|Ez#@W(&397ulw_f<eLNLXpbAi`ayky6g({CRWoUYi
z^{)t(_52JLIe{c<;TM?JRu8nDXKITuu=$pm{9SMU7UCoBmn4R;71{<g2EYx*m}##p
zFQ+uPA56z2#8}*RXxI97bF`4jw&*Y0RVz4)M8?})oo{B3+5u7oHz3QpU(K_t%%<X3
zYwM^?262$!urNmSb7AGGClssCKL8+u?f3fHK#V7J4kFsS*qeCUfy6;PjpDp<9P_`U
z-_Rme&3!C%RoF6?SniRGl3DpEw9q(h0T9%53(F2F0yTP=SL0Orx4re2O1^<{8sXTr
z|LgQ88A@D-;-+?mDeXuV(#9sQ--<{w-D#tLb{Pu2Ko=+M*<0DI<h8oy+vk!3NcEn%
zR4Nt+^bUyS^`>~oyR1|zA$WmwhN$plsH#Jy)4(?fprzOm?)32nl?g-CwjP&zQV%k(
z^q<VeQ^g3LgT}<=mM76LO3*-<pX<^KNgkBNMD7%2Xb%JEVbS1O?`9o^p^uZ#kpk3V
z?ca$06PQXZLEl-nSkrH<sly7*2q?=!T-hMM`VWY5C5!A9ENW$qE<yjRJ)H`UH8?-F
zEunnAzQ@Ooj{u2Wuysy$o_1vN;@wCkdyp~6NkbF~h$T$5@f5%lWV6DN8X|1p!eXYQ
zpFe+sPwgn}(Wo!)uSAy>Kz~5w*%S{(bXLB0l0JDY$9S<e19l$}-qeoIC3ls<u+G5z
z)-YigV7Dsmy;IS4!xY?`?Es_6V~iO^1{Zn->fV9Z`%;hXLyO<NbH_B%0y=l)D)=o4
z-cxtQK#0B^VhuQZ3-cqrkztV*TCL;>`Xbw~N-0*tS1?>Ii0d;M<#lr1G@V6NE+cMW
zczhpVeaTQcD%2^IdALgtWhhYf`0?Whd4!~6g${%{P6bJg`he-Iz@zK2AVEMKMz63T
zi^PVnAC!-sk@E4MFt0jcj72^j&sV2pXs;?|qn_&w@(W{9k>-KxGP@=hwdnJ$eN0+X
zO3I(GgWs%~iCLM0`mqBM;kO!{|H#!Fq`jxC`jv&LPJX6B)E6ni*(paE1ZFW2nmH%d
z2f0hJ-d-X7+OcYG@PP}M1l1d)M|-FOY)^qgMLmu;ij`O^mfdpI6qsUc3D+7{0pMno
z$wIYfObL_XtTAT$2i<B!dx0+B-*e>a>({>^Vu+E|jz_sah0%2b;Qi`YjF7`L)cx2N
z)f_Z!oBonz4bx6Klbw!q3mz2GvH*36WywH@p6v3MYa(Za%BGbR6^9mG6$e3K6ktn>
zKfwLt&|)n`0-Bg?WSUF-SI%yzc5Ec#BK;m1t?o46<!kq#RF#`q|1{*VnAmS~*Jl#=
z%E*;xYhc1MD$Clo-s%y*bHlg;mnZuJR>E^>2rH7SzH+8&68dT}a0SVQNY#i+bO>K<
z@#lRBek?05&a-@cWs#;~ZF-*;YMYQH15o3}4IN*780W(Y#)ddANVjo{e_r)jtgj-v
zU@99ej1lzHi&vMxEiz1V5U{B!l67W74f&eVV0tWiTvF@=lDhs3qaN66lLK^YOjA!y
zg^>OMYoP{Pyg6RL6Rrf<8cbaMm>LI7%?5r?H?KLHdJVjmx4iL>Kj~)+k}Fe|2Ab*)
z*?fQ$aYM=p+A$+>?3#$iEUP9G^Gf_{K&t8$PbkGiPPWRtrDbn(XRhCcrlY$0gIIns
z3*EVCeFY*lMH)&W9x>mc${v>A`01@I_${<B#$L^Wn~JF}s%`LcRM|i1WpfB5Qor+D
zOrwzFC)HiF4Rds^W!k=<3{1VQ9iS#%_SSw!SbCsbL7DbX7e!)^4%$vdjui^&@t7i%
zO&qFzrT66JR~vKj#I@BLm=973a^$~(uKo+l*JO{yG3@~APf8`0K{|StQGYm=PZ6dj
z`qkJfBJW(ia^)T{MtUldN_SKS&>Dp!gSUWZNr^X?)=nX67Tz`VobUZ{ynSJhCE`wd
zIs<obde(LP%|Bh51~6kN8w~|>%5C3{V8%4x9qSezh(m^*KDI#(2P1kTJ*{(=E$#x_
zz}q*`42Lg%fVuQ7lI}AHBIR}su=PwVM-Ch$*v)Xww4kaAwfjgu2Gi{}SZXgRl&MC_
zs1FzmYI&xZMcwC|Y^2PgCj31O<<OSv!E8dywu<r=&9ct!>>4y#a8*cq$`mAnZ-bY0
zb#Q36yUUsxj)w&O$lm74bcRl0Rh9cImwtT|XIyCN>Wv^eNUpnp#{lLvQmrc&wrxCL
zC=IHW<?uAF)&>%xD+QhPA(r*UQYP-?KEJo@c`Ng|^G0$}M+Wb5>_E=<UsF?4HGOuJ
z?bPmLD)~dIxv?0}a9(}X;QVKfE(lsxnPB9F`zf7rteM<=4N4wJW&ldW#N2!F!BkBp
zLsz^#%7#oXm*M*d1r7C~ztm?iW1D)tp0(o>-|}2%<7RdkWkbnJ-EV>@f=vC5^IZkj
zG}JdI)J_p5a|c4io$VAufdt&TTqZa!j3=DriSeCg(VepwQNpI-FpdjRt(iCQNR!Hh
zVN!EZ?DB5&GRdlmj~OUU7i)8{jr_p3(4%X}?u?eiV+{OO1}{#pUA%dd5Vh;;=Zjhh
zCaz@(4$D3#RdxURQ?)pvvQKO;_{nJxXyHo~+`@)ewt0CDpUQm;;p1S4Qi}Cm_elJ8
z*H>ZbpKNM4@*({~24#i)1d<|ZzUre2QHw)1jA^U*E%#wMXOO%x&gd*X6=l&RAPvDX
zT`;Mo%WjsY{8WZ8g`35m()-gEKTIM$PlvzT_*DWps(*28IF(m3w}1sWoOh5vq5EwD
z190(Z#s48Rz_vI*lL$a=CaosMf1wBPNmJs6nlkJ7x3bM^Ej$D*MAEF}%87+C{GzF<
zd5d0L3E2v3zTCJ5D;O02Lv_LjM8GC;ksIn5C6kB?!m(plA-zf?u2+nLG*9gtRC{2}
z;hYfjII##a1{@*GTnIZ=8WeNno-1B-V#0-qqnViz*3ACb?HzrOt)XkpL-3(#;Df{D
z=9OFbyp|U-wM5Czi)ScAn=#?icPJBFz3N!E3D4E2@n7;<7%_s?beLx(Xn`RX`i|9P
zsH|$+_qpOSo+Tkuk74ixBtjxjqZ1Z+#ZMjvqa(d+Td@Gg<HVJO+VmXy5zL<<Q$^k<
zaPscZA@x;%{Ro#^7pAOC_7k^ucki@E($GM~_R*Hs=h7#X5f&%KwPVLU=O0jl$jahk
zIY-y7uL|j1#juN{vzrjLrP~}OW_@&nIku)6<Q#`|IdTSMExhV)UGR871o4G<n&F`6
zKBTS+OoQX&;DIrE*kDIG<ushPg-4?tnSdNVgFT1^0UoMZr1#;ykUVY(c?5-Y2$3`N
zCV<T>M9O44Ta}bCt<O<K1irfw8v78I?nTb%RXdxfdkmK;=Gzk!D{^EfS}2hAIroC@
za%IRlz=Go#DUW=%se(@_(FXVgGgGgQMwd;Mf!t~!k%M+&C4ycO6cMS7S%$CgpMs4R
zOBVTW5H?qve-K=CUJ^ifdhPu3;T?>yOma9&TrebQ{KaFw0!pP1rrsF;^_&n8L_%OU
z@;U4($fR5tN<h2MG#XP@qL*oLSu$&iicM35;ZH^$t|cH*hx;|@cf3r&w==iqD3zgY
z^9~`x(9BgMr+NFB0cJ~vKYxRK6=w;{!;4dkpUHnK>Zu%=boug5bbV;vopw94ftJ?$
zWKm4D64AwQUTswt1bPKAhK9Q9BOQdoR~I{TY=r8>Y=V<Xm!6{T2(1}q%?yRE6tAey
z-`5l`7Q7Ae)d4D1#X7XDRVu_4It?`pmP`>(SPYz!3&_ES<3_En4k%YVI*7;l$8mkq
zh;GBzUUDrKSveF3mJN_D0ro?S7~cO1mfQ=rkyqdS_thC{Y?&-_pnNBgWQ>I`uY2gJ
z#8y`e15moq*%FO7{_H^{(7>sp`PU@n20#D)ZHx@(BQQhOOsLpE=yvtUT!J`AobEh(
zH+-wH_<!I2E;6_tcA7vW*(vvQjFm2sw{oZu@Y)cyCn+LH9z<pc6t(K020r2NUw&$X
z^gNr7JoiqPo<^FE*J(zZNq(DdY9#x$yaNZj9&#F_L_p+mF9pzF_m3f8^ykE$NhJxb
zCcuJa4(+<G&9SyxN)ojm%Im`5Y%7b-fGyT}lxp4F)$6E4Kfp%Osqcln!Get`f$-FE
zd<eewPB|xy2?Px|Nx{5;xqC`^J)+}jqJ>n(AJ)vW0;cHsnT}Ohj>If`{d2%w64nOr
zRKcXXeJ<dn&Q4aMw+|#sg<y0O^u~tuVc$VgieTxRZh;$W=J^y0k@?^jB^<UDw+Kz3
zE;3mo|DV{|swzp|ZJp=yFG##$Op7F>br?|wFq%Z>_i;wN0awUD-UZ6=8eN;B4~U-Y
z_nGm5(~>W?MGHXKG;Y4@l`4-{QDDx5pc|Xo|K0Dhd3jL1x8Ib8eo){VkDePhBn8IL
zk<DOtulpsuv;PpW^gE*F^Twm~;k<CP$)eFL@Y`c7H$9GqJj%8GJp*eO*WF^48+6bc
zuy+Jr@umjsM#RZ)qlB*n)@!o<Gn#<AGc>CM`dEOvNU?!U)U-_Kg5BbT5N_rV!9;UW
zXGnR`;`x`bqo58Siz18M-QETo)j@kegnbdie&?neJnc|Od43F>CmE*6n~*x<vXaU$
z$}TJ}LSP{>ejmObnjAUDa0()@Bni+S&9a708BaSPP6+6ABH_bvDslh)lQ#^qP!7u0
zg~cq1`X?A33Ud7?@kD+sxrFsr$d5~Bu!fHO=#7JYIsEkh|MY*XK(NTT|G2H2o4~<z
zZg#2{2!mCXN5JC3QxRJRsj(VkN|Eu)BWM<kPd2(l{ut$VjH;bHUP*C47<|ApT!A7i
z%wx}MG))B2ZDD_hEVtK`CeYfXy*RLz49>C!RBv|DIqy!#<6*~?d#<5G&I><tQ&Uq@
z9IiCwyXfzNxE?3nEd09+Y=AX`J!iDyPWRJJ_y0bUki$j(J$U1{_eNy=roa0B42U*@
zpkN@;251bAfnpx~dPD<yCPoC*IVE)O&o$oGN6~<$A$-Lp*~BbqLkJKE2?&<#OmQ??
zoRa_IYsX)O(jMHVR;G_QjW0NqwXtRcU^dU-hO=O8>}-?HZ$cQIL9YL?SpUtk-k-Z#
zvM;`!t1Je(Z-H+?U1-q$j25uZ(s=!)lY9)N!TCy@g5i-7t*x=hh=}Fqx;Pq(f_|HV
zlWReOM3Pr%#OvS%{`HsC|4RsO2Z!Jz;;Y~qIfr$($d5Z%a!uqXe=%%2f&6H66*!1T
z-opIv=^w+BKj?{_N*Gs?jfSuZ`595NG^Q-tdWVQuQuwV?)YjAh)51)oi1==GAAq=)
z?d~kO07t>;9>|uKM)@v*EZZyKG#aR?`@>mvf_qD6<n@|X^Ge`kDNae|lh?P5j#EL~
z8%VB14iZ&uD51L<da}z2<S&TmBFwro((EH*sOwRF$u6l_GB_yK0JhC*>u>JUY`_at
zR&19T`mTo=9>qxP$F%7pnv*m~Q<vDOqu!9a(TT>F*#36sz_DZ9YC2bthViT^^7{*#
zY$v;o0Ln?~nFGyoFo!h!0Fb#mnu-D@q4=8;;^HSE%02-uCz^iSnvjnmnsfNvb<d_-
zLtttAK(2EnM8yA?B~I@6s1M;$I^B2lUDQnjsZ<AFp8wpWLlAP46+$=#sH3B!rKP1F
zH2fXVJn}1oT*mqitgj(cAfoOUCMbS-v>8B4B$*1b+J*L9O^W}DFd{b-cctkeel5{0
z`4RRt5po;>YOkp?!+-*Jb9bMtJN|l!h9OWZ-gWs`MQ=Mut}i?KB@qGNr;pkCR}i50
zJw#6`;UXf4m6g>vwt@dH$uo3Q3jxj|_~w#*mdt(%nBpmS^6?p~v{xZrg=fLo(YW8^
z$P}0??(2ot!7aJrVP#CwY>HP!DB6uvas_-}(kj*D-bK1u*J5vd7`n0Z0ZnQ=I+z~_
zP3I6kfl-sdw?IIdjUJKl*L?H8KC}}iY$lI-CP5x>sqe&YeMc@+61UT$T+k0NnM9I#
zLkpGsL`D^BKbpA$JBS^qJl>x%LZm(fo>uF<=<}X1Meh_J|0=Fu^<CAi>#DSe)^?Ym
zADh?q3c_B89#rxl`p=quv7a)&=<kXcHUGBPaS8|;g8fVY3F;}L#TpHqsKk<bsQUd^
zk)Vhr1u!uus$X~|a{u#&_cC$T7ACf`1be!>IVLvtW}<d?cey79>;ypA)LneD`;NpW
z{P#B_$|kXLmSO&RVjaJMLx`2>bDX9ut)7R6dH?HH4945SC;)Rr?zk@MxPA(CclY{5
zebAAd1s*&1hRu|=HjD^T3zz&hl&?wMp{-gp_nN|hHV~<#Z6;kg9Lg8}od5EFE-iS;
z;uR<hAH@MR;*U|=#5wMxX6_^KazH)4zvAAQB$pX4);Tf)yju;c68p0;@@~g#ZzLE3
z5qel%w@W3fV+SAg8AU&r;QuZSL|?pRfvs}-6P9u;BHFr$VkW9??k@0&j+9lH(Sv#l
z^{U4uy4ifg<Av#EV0-jiD(%3fy9#=i8dc;*ivR1rhx;m*5l&8o(K7Ou*un9tUn5X+
z40oK)r=75xE+qj+C&J!$>A`*6YM=d$Lm(!j#hqA>bg%nO=r|IuajsSX4-N>j6NDF_
z;LLyan*F(}cW?^G{v@wHr^4CE^E<5a^Ir9yl*i>IpwDBhZAJ8wv1EHyKA=~80%W(H
z2s13O6g9ubZ&;-f_u2cI`xK_-lYS8%qJf+(=5V!9;^0>qAmuniO@N}g@~F-5sO^o!
z(eJj7nUAmaaibWQboQw6Av_mb!&yXmo|-4lH9I?SQSEp)?s_9DR6DWF1yn*^3Bb*=
z_W=ZnM=jIZXskyB8dlwJ^+SWmEX-V6KC<IK+q(kU-j$@Vy%A50IB0NL|Ni*@Jl-f_
zyDD+S<IAY74&ZfLgUv+4;~~T2frN&w8DLW-r#YRbXnc&Qm5x?kTrJS|XoN?P)&5lm
zjyVvzO@n^G)peL=PVxwWp;pkL^*aECU__^yTIkt*l&d}pPRcFt!l#H>vxP4ly2y40
zJ!=;Za_E{$?7B$o&c-MgJ)ea$T19T20z9JPmwNlp_-T+$`;Xrrn}>?Ql6vG!cMozM
z1H0xi!i0u!zFievYtn4khy(J!6o(rekU}HC@gYr5kUB*yk82bv<*)&{Ux2=?2Y8fC
zgf_UQ$Z-wJ5jzQDx+Ib-^}7JQZ2(<WanMZ$9_7<x5O4ME^z2O*-ULlw7>wE)1TQx?
zMh8!631Qv$uh{>EYH$MvUZCveDHyVWW{0xa_D@0Zr?#jfM1R>GmH^eTQ-K)y<h(`m
z#>V~;5cbX-o*=uvP{<E5dyvb1wlRyK)1e3?m$`v(`hr3^B-Q(HtVT`lr%diA`0Xb|
z__UT4MET6p8&irOt+fFCZ=)jaKJt`CVHFVNQDE}8?(J!$PZ`wz&T#*`CZM!KlVJP!
z+sg=JM8*-Ouc_Z}Xd=DjPLZ`k4&LbchSk$?5YDy~-@J|>7GJ=YUTHi%X}jc+iV?bE
zYA5TsuxwK`Uc6WnC4TT1zWf~_p~txUhoE|k=xs9wiXLwbBKK*b-{zETo>6A5jWF_g
zFZ^Vc{06Ij^`=nCN|eu{?&LwH;Xx*{8n9w|pW8O;U|<|@sz7lBTFJgCcYL<Nv5Wv`
zF$klJLsXXJ`U-7PB_;vuU3(tM(e2KvkRqzkQxH(zqib~?N3@XTue@boB@bIp<1a(6
zXvY6B+>bL188{r)&dtyr{0xtAGO7V)zAObc-hn_WZb-Yo6o@lWQPBrJzb!^*=HRdb
zOv#W%fvD~=+I8$(B-*|Y%KA-QSXE8y7c+t{X5b`YrZe;LIRfcg-8$RRbUlP+80tdF
z`=E=ng0L!2P5qN)4U-7_V43=b8W}BmsN;=<MjyCWIOe2ouMdM)@`kur&K@@ac?vI3
zwG%^VbUuq5SAsXPI$&g;sa3Pz+BE&v+bF>GT!jm!4f-(fs@=$_C~ohQJC?mZ5W0wZ
zZRHd#=H*?va%IAIcRcNAmRZxK@g3~FKEIPqQ&ZE<+0)61`b*N<+fF#AoMmHbv+;sl
zBI#CVKW4rsdJr4@=K`VBHBwb(lfWPrS0>qRS=pzmq|ZrRq|Qrs4}4+4V==jX1=m2P
znuG23_v0ekl2sZ@FN;ZF8F34l^=(XRyw&H@>(X0(C@Rz_R;8k&qeH@^u(rM3)72Hz
zo2!R!s7x;tZgdHLpGWGsK7HZZ{K7&g=H^`+(rZw?bzxmZ6+7D59i1GmMnps$4)xB>
zSx{3`!(cu+`LOOSpsK$W#VqdpfPwfA3{wXM{X(OuZrp%$(bxAFgpiS`Z%s{k!v{x6
zK(){Sf)>C85FbzO-o=+jqi!>g+JveVH3dbL$GQoyLvwO+($i;vQuU>a7Y!PGv@I+y
zObWrKI7174wF@N^uD8E;cgMyok5#*Hpo0jhS_en@rcB$zuPN(QIZ$8I*4EDa^y#s?
zz^{=Je(Y6udU8md4gEExR8dy_LlBkDR!m~rEIuyKE>D&4<0{_?4<`ume;dqy_b#{u
z#v&SO>YkZ(GXuY0pRIi-iXSt;2mXYSDz09bAb9wYk&nG!@&YjRyw_*o=2lh`czOT6
z)Y+H!t94on^=spU_k3QMn`g2~Yem(-B)W&vqeqW!hlYijp4K`4xqPjDdsw&Fpk6gS
zw=15L{x-y~A1v9~*+&%)LHqexh^(wEU)tr{e0+Qdi^Yu$T+P1a;JqpQHYzGAv@d?>
ziyEldTHI&l=3ZT9ynQ<)>a(FEl(764et-@!&)b_fZ)yd5FaNrGAq?)fK&y1RM{rUU
zg!zC0Qbk3@$cXkD85x=VWWzDAb$;vW!pFyF=iu;xZU?M4JloL&Gw{~aC~F%VXE!(C
zH~5J{Apq%>@mfs)8LFz50lWO~mN%1MoPhB$BRl(14Me)`rlvC>g&hkraIvw#d8z#9
zQFcbgOnIL;$*OcgP7dysD?pc6ZrP_KE9-f%Wv#2L3s1?yVs5S{NxOjE(8*~%-~vAE
z@$KzxAo|{g0hxt`h1pp%@}twWmaA}1@JY~I(A~R{m!DtjwwwqJ1qB6yYZoqEilUJ)
zh`a6P<|Y;U4%kKdzpBDOgR_fEh}F*0sMOD)p|;A%u*gU-Ka1R7P<A4I_k_jl&KhHD
zN5}5gR!)Atx2LC52)qU|CMPwupAZhn%gNc;+OC3i{r&Ng^=a16;o+LvT6xiYy)IuL
z9~p?+*QUM(AlKOsSN#_%SWb@Mb9~pnUV8odbxRN-J}&MTw`Cng#U4mT;6dLYCkGr1
zQ>u2gAk+)*GoJ2n132d4s{paJ+wX!S4&(kd#SWfRmI5YW2XF7%y<A55c%pYTHTR-A
zfIWmnqV2VMM<g|g@>N`1+S{-(fX5_+$=uSi++Ywqu`CK$;<sQwt{;__mM;B-`}oRu
zveCs|APd>=hQ!N>mE9O+ak|^^eU6TN){#FI=+%Y?R8*uiPtLZIw(`=j+#;g&v=T-j
z(Uta#fJ3VP20J4d%ww@LhFS9CkG8hg!E=3SeZ8O_5EBgP(gE6{7v|_-F%+fX92~H;
zx3g=_k15W~G>0TiiuC$**3@3#a^Ow`s~x!DP4)Go9%rb8gxyEETTuzIu?+eumX_Ij
z5{HNF5KiS>ffx<vTsYyi;^Jb>x^G}?@Uph2b@lZj@QAv=B8P_5k7DcV#dKqmw`=)8
zn|6sg=*N#I<lVt8FuvmALZ2QOcz*uZE)1eM&puv{h38m4`c2SbY>F6?;NZt#akt9@
z*x1=2`wd~CrS<0oIvW_+my$Y<c(^nnC&_v8D_@`$k0`JM;S!s{BSl5~?S&!Oq>J`v
zB^yJ*WB?n>$iVO(uB0S@SA%M5SsFvCsArk$q6T0t$lFQ!!Nw#dCBgBvG&jSZC(BKQ
zyg@+$@=H<)S6~)PPrrRoo6vyx+qJDNhV-qi=O3;&x3s{+BCC#Nt6<qftO<1Duf2<k
zih>!2E!RCCarc7nR8S-MhyVP)3zeuYsx~+@L^gRGR$5YGbjeO#^n+!7Uf!2j_#l{>
zChmv8*?hP;@2%F^lp!v$4gk|BC-R2`r;2&EGb*Ktrv!tq*C;kP-dmp$UzKl$ECv)a
zu5s$us2wZ;?Y$OlLP|>EbNowVun%AoNz{F1?1X%*#&r>d0>Ej&GSc6^4U9OqZ{N1F
zvzzUn)~Nf|8bY!<QD5tKdIE1(tY5nW`xuV6nf3_!bZFTP4+E9dn&5=Tt6<nX$;rtt
zAT5P_s!+E|M^{&VRg#+|tPjqO=$M$cLD<+zQcyq$Bj=3fa)ofv-yg@@`w;9g38Cdh
zE-7j0YyGb-UH!C~pPvtm%7*WDa#X{n`}*MFj|O{5NHmHkecZyX+huc$4v-1F35FwO
zW@Pk_(TUScyX>RGvF`?a*$U<5b`P9`@by25oNF5z9+pG(wjan*iu(v1?>5g>R#qAq
z7~tXI!S;d+ZUQh=Ku-eL7oaC|W;4Gf?(^+RK|#T%z6}picJ_RLhddjNwfeni3Jf$$
zVdbTz9|Ro@;6tOLlub<16B1A$`7p}zTs<_Lk~e^grnmap?`Ak9?d<JG$#<ERl0j;*
z@!dNWAD_CyLVGZ#Cr^GP-nF&pNo+IG6t?JoZ)|Pt3F{2USo!EpDL9u}rcX2F6XXae
ztsNY|8z+<tpY>*CD7icFr%GyDht%)I_wV0FUbf<1`w;tL27)uSm$x7oe);pqk0!Uz
zCSvKKZyN{RCzlsIOtQAKGrM%Q`jg+4w}!PIWKyJ5RJGo_4&<dJ+btj*&>lgBSzaEu
zRQ8aU#}}EZyd2YXQP^cP*7o;eNFRnq=$U^X#@*Fb`q86P5^135JbUik(9fTc?KVvh
z)qC#}t9W>P0UFrURD=8X{j;+%T?yQfeC0eor^W2!?95k{Vhl@aZqC?wLt+(!*~O&!
z*;rZGjeX%|W=4uh85yq>htLhaBFAE<l4tQhl4WC^%GeE$Pz7R@g9u2+o?Ji@w2Q=o
zPxQRhjwC|ELcx&_>IN3vb9LQ*i@iX)5Nr?jNo*|WWasVe?Ll-iS>r0NG~1G5V{dPM
z7%y*SZ_n6flKt^pQ<D)?ETyHTLmdq#i*Ez>Gbm*(4i_fznqIu-`uzDU1~ce)b<N<j
zm5QWfK)@lrhqt%mug|&V<#%{_`+*}nc;x8W%ll1kg)^}U329>9@xkfo=_AAL(_iju
zO22x7Up1sBFCPZ;SV!HjHW6p|7@_THx<6eb824VN@Up|r)v5046n^Vypq@}rP>`0s
zpvwblwq-cQf_A^fZr6D47Hw(2d;ENLLTugc)O#f0StxhpKOXPO%F3uk+`_Nlu>hye
zkqM?-TdS+67*WXFSE539`O1R8-Mg;N&gqSq`l_m`QwTPsW@l#T`)}>YpSe~VH_K2W
zy{aaNTk-4;zQcIUkmcM1tnE-@J<uGOFe@vo)YcB#(GRk=SK1YD$GW!<p|<o&d$q*4
z1;Qk4)E`i9_%r+b*)yY;Y2B~K;48sN8~oU-zVwtZ>Xw*EdDb804;n>}jf|$i6x^48
zwGrAIx%~9@@*4SaF-Y-R!utlUjy(1JU>0WPM=Yc#@M(5#ueSC)9d1-_;qJiGlTYAc
z)k^Vs^#r&zNxVZKj~up~^IHT{@IQ6IMNHworlzKu*{9-S?rYXoR#GxDSDep5VOV?F
z$;l~ODJA*?26CPO`Bv7Vy1F`8qI>nQ;|qZhd6wJU($21X=cUB6DSs(HYoHH#{22Gz
z{NKMN$D0NuFqRCVn%%C5^ry_sP6Yt8=~UQ|CFz2Rd^EX+2Q#&@^71au&Kv9Nzli~?
zsHmV2%)-qbC2!WjM{zB-b9_97Gl7zVqT}GVy}f<5!iU@M6lsY{UO~_hmJK15A2>%l
zefJ?kNlw6bED45zr=0XV)xY;@Z&Lyn8}soat)IVXpvFa>3w;xaUe(prAp%bo_pM1!
z4?x1%sGGvmQ&T*9gy?D)OAQSTYwKKaKu~0ZL!5(?^X}cdiwg@5lMN~H@or$~0OFdO
zGWt_QLq--C8#@b%2tbVougT6v{rK^0bFQZ+Nf5ppP_^wlF<q0Ek}@+lhoc(N%>bDl
z!xE#Hm6bd2H;u<Tx&l_hqM~~1Lx+d?U%q^4Xh@|7vQ)Qcm|p6lM+x?inG6_cX{UgC
z3<Bq`Ja*vWAxd&^a9FL|>;={!DE7djL9z#}Qi#!&q`=>frLV|QTtk5e9?~>i-}jk+
zy%NuD*Z`?Jr*7rQ=%}@=EpTR*6E15OXnp)vPt*_AI6gK;OiXNIVgidI=eOG_Ujl}D
z_ikZM&K?9whR{oV_FGb4e;n2W-UMz(@dKaq+=|2TU7?Dlky3gwvE%ib4$wR}bLI?q
z_Rl3HL?Ke<=H>v`=H=xD?=_{-c9@OiCpg!o;Dq)ELZzL3iXmXS%gK3c;Uu8q)BT=z
zI>e5d2ZH?hBSuEXr9`lu0ZaI1!QUXRxqS?W+6F}*5~hA~d-r$?82+!ltEv)A*w{uH
z?z(9c5=J0z>e+bv9Sc4ELuF;<gUh0~90#)$i9Z~oCHF_(Fui$xPOG^1KJAl|%W%XA
zqjonoAclQfAN<9!VLvEXz;1-rH?Op`zqvUe7@UZnzW(T6FL<L1tFN!o_%>lSZEbAK
zENVU0)4QqgE?>TU^(ymiKm@EGZ8U1DaQF2!4G*9<=}9ja78ZIR${5spF{W1kx4h#Y
z1_)nZ+6rPITiZoA%eb`5%)p#Z9b&>GA|M9#g1|8_Fc2Iq>_#{tV8U4e;wC87K&L1-
z`P(ODDnW;2UQ=-YGN4ckW(=MRvI)o&%gZ+*>d-0}VYajcqQ+?m&ls4Q@n1KCz%$qe
zoH7?LTp0cJi*39TCH3IJSFmlEd{xuYIanGkA0F0#XNyO|1lCcgQz17;$fgqLvb!=4
zrxAn^4ik0S2TM6B8P3kmpyN>sxsADn#pUw>5mbUjhK&t|?z7X=d~Qoxm5-+CJU6|P
z7=KSsJ3~BUkFEq80G>0-8#mx41}7)|z6M;7IN398w27U3{~*V_IS}u{g$p2P0l^;!
z3rkLMF=}w|j(~t0X!LAt#g4?T(D))}@uzjEhsKux@Pu68v$R?fPyt*<xc3o&7IN{N
zr$xHQ$VGXU=)bCt1ZNQchP{Gt5U-5A9^#w@zzK5s)8U*!x~p(C5&7dF%~ZJlU%c(n
ZCB6T%NpaKdn4@YyHhQ`OGp|!Z69AjtdK>@%
diff --git a/public/latent-spaces_files/figure-html/unnamed-chunk-2-1.png b/public/latent-spaces_files/figure-html/unnamed-chunk-2-1.png
index 4161699e12b61839aa8e09d5a416550aa8716667..eda1d19c6dab4cd74fdafcb4b56a88f1f8d77add 100644
GIT binary patch
literal 89308
zcmce;1yoh-_ceMDBt*&}B$ZMm1rJDz2qGnjbV_$O0tyHSlF}t5AT8Y}Qc}|0(%lW;
zI{N+o|L=}F?j7G9_l|qU`wsAMV((|KXRW#BoNN2PkP*kba_b5Lfxwe^CMu6WToy(k
z(Ce`;!85KHqCxNj$Lg7iEdoL5i~1iecy3D{fuKQ1h(1<uieDXfR#$j+fwj58zIy51
zw-2!?755_;VowwW$-d0hnwn$<%O6X2Jnu;FlfQ4<5kc3%Tr!5oT`d0V4c1$43?fk<
z9qRW-XVxaM1{Gr}8#SCs2W>*{`3yVbD>$dz)`#^>N@C#%P!HiTb#IG*zakI{cxY7r
zeiyz(IED7_S31Q1Ur*M*TEyh}c6M?Q6%~a$j#@kfqI;<?>*b3VA-{7GA*3;?xx|%t
z_}Qj|c|JZqB4w!6L<rjr<ZDe<+M6b;q0w+GzAejD(t5KOp`=Mvc@y<_#Ou(Ah=-OF
z{HVW6U~iVr&Ce_5sy>8&qW(%ltf{Ff!i^^UwZM-O^#lUpi9u73{_odkh)ewce*6FW
z$y5F9Kds}H_I$SUfxq!Wk?~^iJq1J<PXE3R!sBKo>HzW6%|}b8r>DPv|1QFf0Z&li
zp$^IO;YTt~u|)=W!c+GLq04{XB}~AN@br3l_eNo1Azbg)wzi#}9n;a$wZ-mK%dzr8
ztLY!aEUG!GB_B?vpS-{7ygBuKA<2V^l(Zba2A72O1~Kt_U*Cg`Ng-a|SifJtemSg<
zIiDVGt*)9;Qzzk5@=C??bT>CQYty^CyN{NdS2?W3iX>y>;4BRnEri^D!q3mYo5an*
zu{HJGi`#O-ZTpWziAlf6lPB=n(G1z7kPt#e8ct5m+qb6=COx{~3)<RjZEdq(X2>jb
zCTO{?J(QJ|6*O$>Q@j`P>&?kNrI0&6Ep2LbHUHhanbL7cIA$DN++J3s^Y$OLG7A><
z@&euFpjfY`PoGvfZV1}WOBon^k<ZG}tZ{kq;)R}`o}HbYlM~OygVVTVXL}tT9eC5(
zTG`|_tja*naE0wccdEEjw&KUGd#GrVd+dpYu+k%-77X<FZ~gVl#@aedtFAUXd!<mf
zxikI|r*=Ied|5(5!ujItKvGiDwEycXMaBJQYL6V{!kMkvW^~M}P74W+Vd3FVL_|(c
zPpJgm4tKhQ80qPARf@z|qgE7bW}7|^4JntXQW6nOFDy77tdHlal_l~yS{!Z9O-xM0
zzP@?$W|G@>D}0)NOLH^hojWO+nRg#Pe0c9(mTHNK7Z!m*Bhq}tZssSBqvJvBLsO*D
z@2S>sM#uFriRaIG-A@lmwA{W6ecm>E_4x7ks*T#X_;@K%2q8GuD%XQ`S)nt#-No+9
zxWxPyr#lp~a_Z{*`oBKy?%I)%M2(b~o*W+wI&aglu&nK`joL5w=}gDVl5xgb!+{bA
zofedr^Kfw~q{|C9ZBCtR)YVzfHbrT<XI)@Iw0gGOhMmLnEnPCoKwtl<s3<dBAJ}Z7
z@O`Q9g+H5`VimfM_g1RxSCID03e?opC8{-WnLFaREhlRQ;0$we%y#BG_ErWNQ`(}~
zx?(sPA3ZvPcV8TJdDt-xS3BD(DD=5*)HEM2golSudR&~1mRaV*RXyHaihZ4}lrQLh
zT3%Lmz_(G|o2$kh$$6iN2`*eJWm}cq()Mz8eyLHn$aT@8q9Ua{^`lYCI`gq|4hDwz
z3zD<LU-jD}=@}WZu&~&a3qHe%i7F^7A1-AiB?`VdP7M|u`KB)kxu`H>sLsQ~#l_|9
zcrS`sB}HW{FC}GWtitx8>A)YYra*%nm7*_jQXCu{XlQ7nyDRy1?z`RMupPJ#|E-b^
zKJ3zl=Q1*a9_Q8Stb=KecfQJ{HvRCyt*Ne-`pU%2Y&PE>!#wj#?;8=VSl`!Il35B6
zA?pnULV8OHeu>WWF>pkL-52KvLTAsvzRKR8_N6uv8{{_W^P~R*5i&nFSLmgpq9Sy0
z%1KmnaegA;y5Hw*tE4oTr%`2c!0x!zL;v7`d=>d4E-t(C(<7UTQ&?lBh!3y~y<hwK
z`icy@u64J^aH^Ow+<}cxAb3av8!$7|2tI&9HZ(C&MzqFduSYX>qQAccb|7rcIn=3R
zT)zBf^E(!E&Gl|vw(5GDs_)#`u&+e%p@`J$&@(Vx>$dF@$dK3w%+I%k&yxPi#LKJ7
z$JD0xfS5+D)NJ_kWAwE!X7h<EN7=eC2rLyt2Ny^(CjDR2<+I#R*0>$$Zr^^KF5jQ8
zb>TyznfdJ%Qv?$Shjm*d3&hLC;cPGon`ZUv#w*<1WivA~?d?*DY#(K_mB&8%`5BE@
zmN-bj9|kpDKl*hh@HKDUNKQ@`wcB4+@e$FHfGF=Sv(!==^!QjB5Ew{DYe@*l?nm+d
zHw1MKtYx^L-6dpifzFfguRWTgA9WHcn}VVuBbSv@mNExJTJ>ZF_7oHq6~)9b`NAS2
z#Y9<Di!;ATlvz${7HEHm!iG1Y23biT?^LbPnqjyB@*o_2p~~Ew<6RxjE-ZYC!_}fL
zScGp7h#j#Hds(|O0?9fuUuFc!wBCAX5)%5qF6K=VlIx-0=f;Yo3}>IzRZB6@-Z@J?
zWMyR)RZvmM((*T;DLa2WpwNMr@N{+W-i;3`MFux-+^}2jTPhjUgpHDzpU;My*YF;%
z%HyKe0Q+orsh67H>GRo8baXT%>)5`pDJgf3`Hq*hulMzv*c%&X6-Mls^ko)Wj8{Uj
zpr@mY=W`6&3qLtJ!XstZ9xBku8Fu>>-F@|pJ7^XUl}$sRpt7klb9G@~#*^#PYfF&Q
zn($3*7^>uym0L9W{jW1#xpD<gj0?(hg1cox?Ew}6m7c!7F?IKn+k7t*u|KtdOPW?#
zM|f1L-k9qkWU!T*gNe9Dwg%6i|0*#Zglp)yHPZ;`BkI#9C{3Y;WNmS%vKjUsL4cSl
z7}{Lw>r*(Zl9!iXouH_6J;*zMjFhT@GguWz3Z6nH8hceJUSc*Z&scM@)lAJx!VE#f
zY<ZI}+{~#iNa*~~%g<ymuftFYS)o2r4k_UyIRTvP#rYX3+8{M>q1FC+FkpfS-}&qY
zaUnXKubiBmsNL4g(**w+fGLc!iNzkS_*DFvy(e$h$0{HqE7bE;G;3kkz_tq(I-k-c
z?(FFJ=x1YVYag^RR?$nGYXZrTDE-S9&2p>9ReDdKHYN(V`ekZVIeZb^DC!cF6oq<6
z(c5kRYbb>bzM1AW_9j4uY`Ii1^O0h?ECt(z&VIea=3wfsIPUzkw4di|_n4X0tDOoB
zoZMjLens5(&ve|Fc>DJ4s&=kwiRPQVS9es4jpW?istvw6!1pcnW<Y9n+^1E0ezrPX
zgoA?<dnpcS&g-yB+O|Jn{>lpzkJoNd*u%0R&v`24X@HH54WuEY)s%2hhH{z3c=8k9
z;;1OLd-sNG-|!LjXDbEcxh%YF`e6V^>)EG+Er9T(MO{WIDJeLfmQdQ2!TgQo<=C*W
znWd#i5M?ZCr9;l;d$8oMb#<|>lD?>OKl}FW0dlztE<!kibPp@ixF=0Km@0wa*`_<?
zX_Cjevy+pPoLo1gzfaHS)GTWnT^dtUQW8DRkDyGTmLAGKB;=)~C0IRJeF2+4ew}HK
z*~KQ1Y&U98ENpDH<1A}csvOKMEjIv8L`Frqy0~=4akJgM>o<E3K4E9vaq`XaQbtae
zzP>&b#QQ8Pd;9x|9J-hn4~UT{(3ti&(}iBXd^uOEP7sMi0@7I@uL86*Ugb#5=djus
zK+?KfvdGd`?YsjK457FOMfZx&9e)05IGrcH`28x59sT|G6V=X;wfUjUu8o$xl$QrI
zaf{37cd5Br$Nt`f7&C}_D1E`f!Cjr5tWYufGUXsF`RteN{<ILO760n$vV{F2bhi7_
z&CN|rOw7T-0g?|~#P?Up<g*o7)-#-DKXS(+&0XexMXau_rlrwUs8ij#HBxE6^4JU0
z$J=|8O;?8#&PjL~ItJB6Bu@@hkNx%W6G$M}D{mtZl>@nI2e2eH=f^7-XB!@Cn|A*V
zDm&lT26*$RT}Di8!UAyH&bLEVhtN=6EJZxKI*$Sh2|YbMv(3TR<+2rXy)AIzs}P$$
zsEykKd*NVpIJKr|Bvm|kzAGsyE{>d-xJgm;FEE#=rvRKRt|%|RJr|{wr&+_x#l`iv
zKHX(ukxrLCIy`hcoc0~!q(B|L2&$K%P|?<&f;byi+~l?x3u&8!wRb;1TEN1)<$bda
zl`_&UqiR&Bv#V<`IlQFY`Ug@MFzF9uJ&koKsvD^%ZGVdeKj9IA_-~*t3`y>P@5y?k
zO=(1ABr!ELo8A4tZ}~X`!0m7MK{#c;G6S)}rg`Ik_ALk+XHpT%C#<YIHUB<en-bOC
zpi<uIkldo8XF6c#i0Ar%ue~j>ht!OXjh{ZfOa#Y28x~(A#}ok}3IPz_swYx*dG%{f
zj#QSywa|==jO_ch_Z~%k`0$~pNB*><ti+dq+G42S@uDK)*|l@EZ@FKj<7)RuOrgJG
zex<IiuBxh<Du$O#erf;9i@N~W{aPj`sV8R>q~Qx;M?sw;no5v{q$eSPLv(a>R8duh
zJ5EuMy}iBt?%g|2Peg?}tDPE!iiru+C4Nt5D{G>Er}O{1$1KR@Kz$NV>L}i=MGF6N
zd&!VU2q15&zde){YZ*D$Z`lpePXonSXXNOJdg_0@91oFKx5liF!l!Z7O9*YIe;3lz
zW6Zek8LFQmMO6-XbiS)Pp+pG(fwu73tD`1ow+|J;7cB!Us8E4U4Sn~2t4HJsV93gP
z73s|TXc!;f%8ve@V-O^xLI}tI>$2-Btn?1+e~P-6Vj$}2P^lb&n6lgDbPMn6^HVFs
zFusaF$PQus?akwfntISZ|9t-UFNp3-bi?RLNl6|{J?WqRK8lNr;lcuzuW>!F;YZ<k
zUuySq_p?fo<jsSF;J`o%c5PuNr}8<Uf2V?26%Io?2doDvm^<rqd#(*YNk)d@vuDpN
zEG!^*h=}~aqITPC=j>9JCq*3_Yz09&vMIo-(2w*N=m3TwpI=z8^*w?#5^-PYtHM`+
zr-5XgO$`mH<>gM$=0X)z|EAXp1s9Nqg{IEGk3m$0>UnNVz=5uh53fPdvL=}*F^!VX
zf@IeH)Bn2u12R-R%f=zsAnapeV&H|80xreQK97~xXN9g+;{5xZ{n@F2p)7^3S{`Q+
zewyw_`ot|{fOVrZUHtv7UAxwP9~Kbx(3Zugn&N!$;6p%wf9BHwVqQl${ttdoyr=|R
z^u+#iRIWCgh@_Yp3DLZ~yvL6p^EyHqH;&>cVgL6jo&pj!`1~GMeBSxN>J<C_<OB-A
zrb0bk{w6VTtemnMRJ0E_@9zd@_b)?&J3V!4)56A<OqYjNaVFPJ1Yq{~U1sLKi#9}1
z?zeAYegJ|{J2-Bhqz)i<TAJuklV?JqmYa{r+qxrUW38O2`yj$o2#a8IZf;KW&$7v(
zeq~h^Af8VV5ixSgaU#iw(9-S(pBx?n{A7xFzH^J<wO3hB%qs;2>~Rc2O!uvXnCIyt
z^;R;6ah9g5ve_si<u;;ccIwIE`1pA1p_WeMkN`h_``!Ous0s9q+1V$eaO#lz4eu%#
z8{ezS>HHO~s;mYL+QHgrhKJivKcd9MM5w6)&Kxup$ip9#lUj@KJ!_zYEevpkng^@0
zIPa+u5fK4s_2lG4moB&H9z0lB=%KBk=H}*3jzf1yS75@$#ogkb9H0_%mlEY^MHpCZ
zBDA0m-}#!E+0xO0hmSu{d;k9ZfN^XB0`AlTq@$ywSF`?un1BG>bL1lg2?<Gz)cdj?
z9OJOKsk*i~@`WwtCBbvrxYD1_<>lpsq3W#So{q?wqeiR~T}q@)1%+jebfHke;mQ?l
zOe|^<tuhM@OH0c;m9R@XHI(u-=~F&`{tUo0TJApqpGd)9-!``mE%Ej4?_O9XgRL*J
z6vTrlZl}m3@Wv>iUKT&RhKXl)jx&A-fv|FeNb@%WdIe&rwY8NTX{K$fBKiDz?cq!S
zKtKQ(=VvEz8mRYq-_dqQ?%VloL4cZu#iMq!kn^^lLmbO3EftkVZiiM5X#jdqnC=EX
z9^RXiwKC{kou}&G9v&Xn*Vm7YjR7(OE+B@}P%&Rqqsk!s3Y1Atn!vdQ$Ug7*AHqN0
zJbO^D1i^9RN`hA`EdU^1NBi}$NBsP!sO(@p3-F*cDQOa#Hg==mG+y_+ViZuvwi-w)
zGRoLsd;JMH?0Pwg2lZGO7^l0vvJ3)g01`M2JBy#9woO4C6JLF35*niZExZO*q=%@x
zwsy+>5O>lpmKrl|2!DWFm-GHYW}LUcnj3+jj`qOUrqXQ_BYe&8+4q-l^L#>7jb1Hb
z!sNpDn2vn~qy9V3Ino9`YD&Q@O3Z1Xy?Yc#n|o-Gu>N*3q(7-%Ip>eEg`5^F=Hu58
zR!B_OQhE%H1a0cD^M_~%i@#~~(o}^B=0FP}IWF5Bng%cIX<eLuSoxag4Xpaj)-K-5
zIf+tff`kYPa=~~+5S}fH_7r|Dh4*KmgR^P==8k2A59OhOkYXKEdnhI%gyL`7_xu?>
zf@P6Q^n*gyq?ay7qhh{vIR9Bj){x}Y&2{u=*e-uR#U(cFi^=)cJxk~MQVr3Cyy2mm
z`I6?!5;TNo0_p@{LEX8OC=PeCm15SUm-$L8%%?~<zo0+E{ri5zSM4PKT|K&fTcySe
ziCkrJ9?UdHMC)T<_@L;qowcYgEWa8RpiHXvPP8h(=(>4llMFrN?%#T5CDtU;nUt$a
zB&YrQjw1(WL5sJh1-sZqkxoGL$3=V^V^|$U-PDB2Htx>ro5N^`_}+%hOkc&^-+isi
z1JWwxCN%Dtle9a6I22JILMG7uqFMw3qducZuIj4z<`k#FP+H@(+2eZbkGrhyV|+Ja
zqbluR^QZ86>H;2Of8M*d_WaKi1&eArmpU}W;jCs|hw?%){b&SjrDyajXP?F}BC^9x
zbRJSTT=ovKvPb|y2)gzkCBHw?llf9`nl-gtYD?<=fLg466sd&3M$kG27N&8BEkx^V
z5!@Rrj^}Hjt>Hs#dE83)4%NXIpYpk=>;CG}V1Cl?4h~=RYK$qIztlCw2d~R=x?~gI
zH5sfL=HCU;(bMan?5~OT<!jX$COV5jhWhz0027q6i{!2wtQM_BCM?xq<cMK9^-=<<
z_Dh`lji~6}az8Y*FK^d-b!?4Y{z&m!IO}DNG6ErJ#w8N1OV7WaNxMzdHWsiJr;(Ac
z(1Y&bHUW$>-roySfRp?hNBljBt^7515!xDb#IwsNB;a?e>n#gu{~hEHG5xcvZ1am2
zv?EW}DQzO$edY8S`6p-*zhOD82v5Z~$h}U{5d(Khi<wLJt$K}f$)=?<Fm>6e3twE@
zL=I0v!!?kn;X3`pr@Fd2BqRhH#?EMtRA~A!afRGZohEDFY;A2tv1<HkX}Npv-qyi^
zWlvgb8(ST}aSxq`hsW9vz`CZBwKen2Ky?OD@+t1<t_<XMB?$r1GN|S8=5TWwST-m?
z&}Q{zE3q*#ef79FN6~VC5wDgm19-i!l*j+(*bW*EVPRpo9usd4#vRs1Vw}Z<rT!uv
zVbOSp=LN$>$Ib)jujlIn9z5>^o^I!8A<5Ley`^OcS|UiW+-5`UF1tnvKcFe%;wrAL
zRzI0)@FnPqe*`^54B!iBCk}x7VXxu<PAs0wxF?)ZmP;I(K4>uDn${ZkegQ~Pd%T=|
z9IRSo&;cx8t^(6=FaZ_+AvF2WSQJ4%h5us4NeOW<oUEisZE>f}?A%wjMp@((1Mf5A
zK5CjnoRdwYkpv{P{=~HOovMWv2Rh65-riENTv@NO6(NP508d_Gs^si^1PS!Vj~|+D
zTTj=vnIgWzC4jyT2r?6(a;&VZ0ExS}98Wj+UcYt?I-Atg)O^jFTU1n?zl2U!i#$%Z
znzLSJGzF495lwPGUh+gk=PH3!Hc~>J3C?wf%zl$Q%b<h6HC*Y-N>yM2=F{V7E(+Ch
zt+G-=ECai)2I1+8M?L_}I3RC0RDd)Jxr(xh{1rg11L<2_B1=AW^AbPLr8e<kJ~7DW
zX_9=ER#HRA2=p|^CNUjyGAiLwsBOT-x`Q}TUoY&S2NfQ8D{7>fvcCQtATs!701OZ3
z0Q<Sa5x{pW_CXPdhxYqu55fe9UPd6V`<1i`XU!0&(76r=1Iqx%#yJ$0mX-#LWt~aM
zNJE1z95Ni_K&|8Vcb9=0wX?PD^_YTw67@;wSolCB7SaNP3RO>|+)779Wq7$iyQG=K
z^9Jm{mqm)prN%BBf-Z>Wn&z^#((#w*p0nNf#qSuo*D-m-7Agd$?a-8;F@!fZHX8Tv
zaY7RfeWvA5!EFJ7H(iMWBPwtRPlReXySuxuGs>vLr7D|ruQKUpijgvqmyBdqkyllH
zE}HaaKSsvIFtDTbV1Iw2$S|0phLhU;a2h&fxQxM60w(gD!roWeTp=SP@aG-8Fpo{+
z{E^%K73Ly^-8kQ!F@G-tFRZ7RcD@xIP3oWvSMbzSccovz{gkKwXLdROCEyttQZ_d?
z%O+gf(wgxpcwTV6)@tbJ$d!y@6$OZwCZ8qsmGCDfDwWl5S$lIOZ<C83@ZF(DV5h)_
z#0=&(9bo3+iT2x7@@Gr|>J~-P!>ZlBeVdAk>Ra7MQjT{wTiV;Xvd92601ZT!0)V@!
zG8XxIWGL2|x&I$32xr15{0=&jj#Xe~^NbooTjSNdPPVLfsopMM4<7=X{?46uvw89H
z@euSY6k3I^8-aw+C?c#0diU;9cx*DxDNw)<m)?ph6d6c+H46v`4C5gmP^aOdQ3<bh
zmY4h~FN<e~qW9B}uK`!^EKyDS^-M$N-DI`o>|f#UU!fzI|E#T<ujT>KO9Z`S=>B&A
zZe*MWgmNEmJ%p{%3ki<bei;x?!Q31^wIDyp2X`LW_f>ug9|Jw=r;@Nu#aN%OXE9{*
zdM)<5i2B<&(Ti8-B|^m==b_mvc~E`$q=asQ2yt?kl@;kg60pwPWZIr2l;ro$%Zp9D
z`~|?x1mDFQ^Ie03QRCX^OK8QYOn>_X4Z*{*^!`cYg#C!6=8Zvx*Aih1&J2wnH3;E$
z9>qA_zuiF)NKFvlgx!z{c6<4V($mvp2Cqt+1K;r=AJa<vFB+k7MqbG?vquz}mUivo
z@~M*`tgbQ2#A_!k^8()x8W$%i3iMq!h1=#7T9pnvaOk15;#a8#18tPD`!R8gP5OT|
zH)j+SZ2nGu0+I72PZui)FB`~d&rIk|pPfM6L+dsUi#6%JVZuyRv@qx7a5h_N#3;V=
z)lCzy10~RSPyu>`fcHo$A_w`Rm!eN9T2@A8z@r7SzB@2}UR^0<s+MNn)u4IRzeV@I
zd;h*E^lxrz1f6J6w!-Q>Uvx|xqMTkXC2=HXsP^zO<!{|<s*$1@is5v7u-0DKtg!M^
z!L?R?E&b$(QAe>S(BanDJx^ChVN}CgoYlV!Suly;In4Z4^XgEcZtoXqQH6X>fi=Wr
zrW~!7mX?o5A&}pY4v}U<FKh=Pql<sMrN64OJec2QL0YX`-wu@x>Ju#R#ev5K$&DLa
zPMg{Zmtdi7?Cnw9oV1%ijWhNpjfBkMP3kBlqTWF?V*PNz%1dMHl-ksJgxmE*U?)*y
zVQICFkH)hhASej69BRczTLWsA&<{e(VFW}PYG2-gF4}%&02mF^D^(R0((ydjAktm&
znW<Pvj04^guKDwHUMP8HW@eC~Hm4hAXJ&Sj=$V;wB*Gbh_n)YJ;|lp71dJgnOJG4!
zBG>)iOu5wj+G7)tRiQ8dVWv{!V*f9<zl6vS3tKzC08aO>7a;5!HMIv+J!+3rBD4t{
zKtg^&-`!_t_bstJ{ianTB<RXg)gq1}Q#%YCttH>3*0Lf(Nx3c5Q^h_;vT4;?O^d9}
zuCK2{UG!K=kFxv4rdqrR!mH4m<6@Cy<x0D(`Et0>zz2h-Zq8m`1R4YnG&UweU*WtL
zx{?M@51Ys>om^aGV!0%eU(o%1EGo>*yc_=AiH$~8pS)<-NBakX&}AO@z+S_N9DgUX
zX?)qi)xquudh{}I)hpep%^*^;s+WgEMUhZYjDfTSBx)HTlVcx96R1Ll;z1{C&*nSg
zpi_iPu-ud0_NO%*(pyL6I-bkf-XN-s!KL~6^CzSr=ytps-xE-u_eipVcDfGR0a`40
z$=3GvSLoiLAOd6jyU0*ByT&X8Kc=ve;JXcqeg(?f8|S*Wh2JNh=^>{#<KhIrg`C{t
zx-ZaqtT3FyWlBWZFq8$cG?QNxT)aFxJ1fM@dE;kT`s}}$E@(M(lW@)6y4rJ_J~i5z
zDHLF%rm2rhgM$D0GYt)maFGnpkcf%NGRWTmMgH0nMlaED9132c;hopFM<9NGsXO6K
zVFtB;@)AEb&e<BO>0@A-uwdbpz1>%Wu3iMqBm3WUF(qo2Fo8GFg?~o|wzyA$-EF8c
zo@hj67S<$$X_iSs>TK{@{>8UgR(hC>_X_&!#+p6!dhcD0WTU}CXxo3mGz;2W?s&El
z`*8ZQ7N*wn)kFdH0tCX)6G1R#ckVxsibW%Yjv&1e9o=G~?D&N5M9--?=vz}K`F=b4
zzgP9y9k+%qpdp^!hfDjxN3m<OlTfRoi}V3Mf`=c&X;ePDAH@tSA~y9eg0o58A0HN@
z)wR9W^)2%fxIE!#XppMqw#G}Ikyb!1fk$pKiA)`7x_9rLhx(pcp0gbCt5%W^<KvwG
zw!>CCGoU#Qo_LnsE>YExmk*1IVzhhmvrTpp(-U8pdeFUpW5@Y$;<UiSJ=3C_Q?*g^
zN_Hio9M!Aw_rR|N#GzMjo)&4B3FSgje&FPGJQiHyp<bvRq!CLiK#-bJ?9sP0Tv`Vl
zTLOdii@P^Ujh<*~Cc2Yfx_+JINI~t;Dx2NuwaTB;g_Fd-g5){bgFmg;v$-$>bqvc>
zQbZQtBc2gls>W;8gD%?<cncsy>!W<Al{l$bx3xlmZQI}b(bgu(3bqxBj2Dk)1OywU
z&c?>fC)7`xUAQe2jtJA`RX`X7+ewVn7u&&~OO@6Mb4Pgh1sM+GIv*J-H_h6fn=jl>
zdLSqF*54mEmApI#x0f?7ImvJ;;qbXKd<+Ew3m9KEOpWFypDi<g-)UFg7Lo)E3bI^T
zSy=#XsmZt7C<^0;1SXJ-)#eqIm7q{x8Naf{L{f?NxnZ&SmGN;yhm+so-H7MJQ$Y4e
z9a9m^=vXx|<C4GXj9|Hce`j~M4`(x#L6%$5eP;Jjp{ZhYzm#}`fZUPA&io}Ah51K2
zr#cD>KXcU}qc|8{OMS$`uXZ=Fb;3>6w5x7Ek{^(;GaQevFBa>_$S3##=_>ki9TK7a
zkTPPB>jFjb69w<(N#%yn*6c7NUTar9U1H98dtoTgzXYw)Dh}my2yty`H~CCDMO<0a
zk-k1LRZ|`3b(fzW%exXYl#D6GU!)~0b81;sgK}5V>QTW@NOZ78UFadg{nP!o20>{9
zr`UErVa-at@As<)ChWEayA~{NnpN}*zPi57MJrs&ac>f_5fs;4rXD{VktlJS<wsKk
zu~M6*v?XNZa{QwPB?;S0xlY~Qt4<?po1(}0H<IomaKIN*C>+hm=su0m4r?A<CX^Fy
z6Y{aZMraLu@H=I^7yZe5ZD5bZiMr}L=G0e0Pj79IxDcM73U=|sbQ?YCoUm^whW9BX
zGWIS%naov=qmlh7R}}7%iJ-$kqY}m9OfgS8Swve+`i+Mc!c=HZ#5h7{x#Isz@%FPz
zb_%Z&rPQj&`E~gx9^(lXajy1WLlj`3+D9I??1d|8zHZ&`9j2ayd^V+~V2N4}xP&0Q
z4N64;cY@&N?5G27|Fv+@pCwZ-navOFflc;gG&NsLXL0Db5>&FdHu?18P?gfU)7!CH
z<9CkFZ2Pmb;)4B^YF>`&yHcAByLsq5gcwdCrR%9!&*%|qM%62Bx{l^K>@HCffa;2$
z3mD7_xrz*ZSzh2S{FsA@r}p#Nz60(yM~LD<mC<bc)Kzz8X<p9Pf*<$I;--@OR&Q=p
z;2fUMyvFi81b9`PU~Q@*BSSRxnC|L+?KiJZ!r7;zlWpI{IOO>)%UULHc%yk)spkCn
zkZN|Qkbai8bi+VsTm9_u<_bQ=W-A7v5QY;W?ZT4Mf^1z}LaHp4nYZpLSCtZfawl<G
z|5<heT5W_)yho^^Q}=_1MZ@9|xi+2zMF}c%fyPYJnl0no3*Wj=?r-B_{S^m>u3WHm
zlsI}u@#bu?8e=wXx?Xd>MihE1c+bC<R8o|PLv3~Z0moy-8{TR8iO-Z^AH3twNAC(J
z;mnSA0C=;(hETqQMn%{4=2ZNYjo8x}7Kq}hi6FiG5AzWcU1vd`H>Cu{d)4|_>)wO-
zAuXGCyty0sDdd>gIl4PPcE7)g;q-0Y(+4O!=(3Ha<8EcYm1RVBUCn=)OgUkFbsb@K
z6?=1PmFvwsY4OHpyxVal{qM8;%<&#^Jp?lLd73Qu?oB)S`AGiW%Ex&7fgsz_2#bLM
z69c1V&Zcdo5%-|QEt~D0Z>I+W3krbtttI@hg$XQHhro8Gu9PJkLyfH_vA9u2_Lco*
zax#2EqN2tR0t@(KIQbo9$F7VrNevdy=J4#_b2mB^_eugzDSX}ZBUs{b8&iZQvW;Y)
zBr<oQ-!%NV;u2_M>}Xw~%RyWj<HLa?zf9w+rvNA7)GkqCtr$2ZhU1z!imVQw-48=+
z;PraQC3Ge1Pxl!s)mTGt?zQ5O=?;eR9mTl<H#I${`vaH=2M}a>n!a^dC&%gFoUy*S
zI=>*xXQV=!CnlX}krOacJ(AXAZi-ylKNvAQyh}~tiZ^s&{_tT<>UB+JH^IVvSyNyT
zpAk+yPD|sHA3qOVV~j$c^1ga#qj@(H>-O2Fbk4Z(%C}?0W;H2^uZA*C%6?6!@;AR%
z7QF85njswaBb`joiTpdUdVM%cUft9;e1s8Az1QL<8BPvo<`9#ymQB>vq0UYG0`gO>
z(AMWVRlg7n*MbUD65o8A0X}%K;f9(}0MG3Ye5C4^LwHxe;3M7vi&XF+5q+xBp~h3=
zx<3uM!{Cb9y@Re-q}B)Fqn8d|VQ%eiZ7;c(@izo4j20;5oqIOe&aW%331MGK^yd3`
z%lIO5{M!1}jbcj*>>02+KC+rZ5CK%Sgx2=>vL2`=2|U&*0O>GI55W<GlE3c&1{(;Y
zm%JJYQ0bAw>d?^+z&jz7Yy>us3Uy66Ih~wW^z`)bu5rL)fU7`W1O|wlk`iR-RbT_W
z<^WMv+b#6~p8yeh84C-TlpXM6nC@;&KISxGWnlq_!WytMmJ`(~%F2r?E2F?h+<x+2
zDw_R!M@NV9tn-7tcx4huUD1Jfome}cEaS_z9!)Z}Vb_w<4alGqez1Kne5TMIG<0OP
zXm-i6fWGNLwQa4njAX8&R)zJ-c1c`?bMU9<`W?5>I>?2_=Z6&&si^iX+o7ZFO5g)O
z5#LMda{CoU2U;Z30R(bPN7*qr8Q@Nw6{F+gMnQZ6l8P|2uFm7xvldWN0VJPya8ClT
zPeB3Fh+t9<kt~Jd!$Tkkg=lF}6xbxNSha6XT=tgr9Xg=G0g$Y7*<-pt_W7|_PEL;Z
z-^b9<5U^%P$BJ9hfpHQGKbIliMh;~+iPh%&j4Os>4J)`7R+Jo7qwUt>3$90yu_H!F
zUDs0$kZX}f8<Q3eJBJ>mqBfYqv@8O;z55y-1_s8|{Bcg_RW&ERwF3t}rMYXvq~IHo
z&obyrd;_k^a4IKoyaE3OriYffZRpCuyu%J&s=8=!R)L;2T5Q}4JVksw#rhPl&7T%H
zZ}0c-o0^)wVI(Fb2tWh?rv@_40a#k7R7rS1sS^8m3#6C~shDqO!w*2A0QvUb%P(fo
znt;{-_ClO1S03cg4;L9~)wuMJj`Fdx=4sWrqwGdxBqRsWC(to40M54p(u*PCzGSC=
zf5p&FE22K}&W!4i(PcixqWL72#7o{j>yA?fW`l^6vY!@C40oFaaYPD7RpyGsJv)hZ
zQubiiY|4e^-5<1M(cFpv{$(5Y#!6|^+9Ru<iECs$R-dDy2BAR&Gpb$>I=A_Vs3@>F
zz)~@$fDeeA8R@dS2s8nB5b<wuWdi?5aZ|IxW)8G}(PEtjOz8_}BO_D~qy?q}FbC}i
z-U=XQVFGdK!v~NvBg)FSQ7Sex;#t5D!f#;o;jWqoKOfOwL!1jEsw;%X96BO@Kd=xO
z)-JSQpD+9*{*6vR!wWq{y^PJPq_=hA$-#A*1<s~YjA0V1aDi15O#Ek^h>6`C5UD~|
zG*Ew~ycV8ZOGq!RFS>|7p;J)tM^6&g6}_h4Xd5H!d)=MxCo><T<KDb-dYEbHP9nPa
zj|P!ZK@#I61|MHv*#usDSZ82Fm%v;Rcc4iRowMtK#hqKAkAixuu0Hk_9Sf9AU^hA}
zBt%3mq0VY)_Ya7KyKAG4(9=(XoesLJVQ|wO%?1ly>rRshFCJZ8Ul+8V`3cm^>R81~
zPL|2ESpUrO@@T(X+!i^#KNzHA3FTlHMC7M~#}>RaKwyADtrO_qU`oD7h^&8xl^uTa
zQZEES>7B5RMZ~@#JJ$32J#id#wfxqJEUK?*4G1_w22PA{WokcG<Z@P{C-LG+%-N>z
zbgE7mNK~6-Y@gMlr>E<`B0kyoeFK)b^?8Gg%!iPN@W_$swQkP90D$T|yAuL?n3#mb
z*V}s+LcXyv9e7tVGO|gxoet2S+bzU2HK~ZmRzvgD%2<ic_D3zBr-$X<b_4|z+J-yO
zX9mbj!&`{t04)Cn=p|CQF@A}z>lLuAK~A=B3AsJu18G%K^ppg*-0f&PJHJ--#S21W
z;`xmYkmp)=-Xg)WLUYB8rqYvhTAC843t4#5hD>ezSvn+G<`>P9Ruo?CuWaWS$TG7k
zR<H7X(Hkq7^mK^!s|00|{h`#EEn~!e5*ZOWWvA&Y`S~WnR6-RlJBlkUU(3WwKX`h2
zLSBL#>k5<}C65(N(yM{t=p7(Yswyk5bwg02?2gVm29lSm>*|Dv^bHJ_C-=b8eJvDt
zLkS7vk>YzqkkyGotE%`Ur$%le%~~u#04YRR%6EtsJ8jLtRm=qg4G)jgpO#Q?L!wd#
zI2?i0hiw9mROi|h*zsT()n6MaAtE9Y{S+71hC1m-;8P&>*C-O%$^W(LYh^@uF!(at
z!+CDqo!cSQr>1eh-2acCUS^T5QCRHP9oa?Vw@=G6B8Q6TwfV|6(zZ6dY9iua_cks1
z`TOe>eFxJ2g+5AQ`0Ejk=FlA?a+n1|V71&?xy!-b{TxoYBp8I=jmf&CaWFY^RBbJG
z)84s)jcsM!jh9wiTf2J8`%8hu!|QSxG6^zCf@i=EbR_VV!3jb`g^C*>Eg>mFhN|!3
zp$0=V@C3b|1~nCAg;D)BCXMlEOyTb96$M@P_M)6xoyO)7p^;)Td`#=h@gK>uCu0;U
z_JxX8(AorA*`~A(x5C{<OGJ|(8NvGd8G#249%DW#2PeRKjDDNb(#3$)9!h?K^`Q0>
zB{h(m@DSyKLx=iV=v7fs0bVctvp>5Bt9Eyo?%lh62c>Gia&~bsAwgyt%!4zqrL$8p
zyB|&sIMD6={k+V~Az)8{qCcuj0lw~Aq~DeIzrAqGxN~dVX!D1Q2F&ZpxY1{00d0}p
z?{W>PD9RUNq%wO}Ez#a$jJ!qOwI$c5vl-6(bbsk>pX@5d=v1yUdxk+rY^mj^)W?Po
zloKcg6-pC3b#s61`ObNbmscqXaA{;0OdFZ-f%Q=hHXeB7AiB=aPd3Q!e^FqnJDMl&
zS#~!BhSqj}br^PIo_a-CE{^4UN<Ig>l>rt3ff_&*;GzKbOIA`cJ0}OWCO2>+vZCM*
z$VmfEh)hd1uekV=Uvb>`I)gjMATEQTKz8d^CFn~in{%jYF1SJl!O{0n=Z7~qNlqs(
z&Zv{3u9F#OL|{w5qjCyK0~L5!2-@-i62Ps2Qyo|rf#zZdRfSm_G)zNOT_P=4`KLu=
zL`5>%v|nCcx+$(yO(WtZP5RheUMJhi-d>~Fh=>R*hk?1r2ERd=x3#eWRsB6a<<~cE
zzdt`VV{|Cxt#Jkp5`~w*4E-6*BjAh}9v%jT1MJlskOf<=c>DMil7kyUboX#ew?sAf
zrG$=7vV2zGCytVNDA0gVqWnNdGL4+@2WbKi)TjWqTACE+oq6NnvW2OY71K_Y0uE4^
zwNgu$&mG8a@Vy_LxQW<L^Isq9?c<PAEjByz^+~->CG6|j#>&gSUSv|{%@$^`>AknM
zny(`&phZpnROfcmkFKY&rThi2u9C8U238($-o>AAS;3Q4PA~l-8s~I*W3%RRsFlID
z9{yTIVqjo^P5*^qayeY0>vCZGN#OO+kQiKDj7&__L~*k}p!Vx<+wH%dRoQ`wiRY4%
z8X6i}Aa*5`7V>MUtGn$jzdGyRNQdU<Yg1F1WzN?jr@<qn<%hMUgXJCSR<oy271`}o
zoPHa!hZK47a!_@TlYKrJxA8rTB$Uo1*?lNZX87zz&j)9Doz<L?BR8?J%2zL5Y_c;w
zA2RUdY1L5IbS^vzqW1Xu?T>A4>|oYS17C(E@LPjWgPJ=5Wk~n+>s{QjI*$wB0{==7
zrRUY9U{-^x*qb4n@#PD$U^(JB(g<F09!m?JwQNWWkX69vYJcezjL3eOPzKC!Twa>8
z-pzE$x`ag6N&(ICD$i<Jn&Wq~9jX;lk_QwGnXSEh;g6Eut`AAJ<0M~C6f)D58N%vB
z{<OW6BqI~qHV3Y`pNowa39K4b)+hLbh9#9r8=1HBM{^~30he^c_SFJ^5?Jn!4=hGY
z!K-)~14GZiz{SaFaV%Rg8;IJZ#Kc<tHe%$hNhYMl7?`ma=jUPGgRA2)IM*RIEunP7
z3DAlMeQG_wWs(8PrpPf!X~=wo0ZT18Icvz{i;G5U+hF}1Y$O@DV3ULNR*8SYLR5*9
zvYDSSk=rb`Gy1W+bCV)wOuMfvbc^IBX7CD9*e{t{KKV>>+imvunZ=`y$)*N(Nf#2D
zTHf)M%ew5@Ke7O5M*Hj5ow{TfYRp_R9dI)2A%A#!wl>CY4wu3ic=R&!(Jvl@kt}L{
zMqmg(hG7N02g5L0K*FqC0H$%60a>)%R7?lxnUR(TIHU~l8Ccdq^IHJ08p*2hTon3}
z!PVYQHy9%Tgkt{s^$a9!_(Yg#NPlscK{he|)2BZR3mHY76c@3mu_73^0LfAYFg)a_
z*r%&7vUCKxGNByw10^S?b)W-x37+Htx`kTFwYPT#;xtX#)gb3pQ{}}8`PZ0)&0EF|
z`9<Ugfxd(M1Edmxg@)DwYXOC^v?FDB#Ka#2II9H%rxzqHm;!G)q6stddoVYk2Gp?L
zN+NpXb7K$MjV%-SZP)7yX9;$wjDuWVo$c3#@+>zJCp0xLA%p!?%Pa(}rs|<PTB4AJ
z4JISQkOBuw=8BR)NLbaKzyk+9SFqN`q0DH|sx__a2Q+0Xd_{?{Y4E<-gdzXC;9Ee+
zz!@_3FfwIptE*O3QC^N(CqRMS&Uu)4x6B|mzy}NiaQz^qLgGyb4Tbrh)up8)u<0&I
zbuVZY1q8H#ybtY6L_)&ZulxCj$H(t|e4wid7D#hHJLZi-CW1Z#TffE97`-XY_O(5P
z&(w{>tNvx|4IUgzC($M79Zpjb55@0fRdhbq8ZmZ|q=*>Sy?f|bN83Q|l`MgvV3wLX
zZtK3?6%aqxm@d9R;$r7M-PN8mRxSQq|7i!};#jtysH;5yvgjG~r=VqxU=45EhlYlB
z2^_>1Vhuo_22cR}>yy>aoVc5y3LKk`m<I7XZ;PHd0mb`8Dkcm}4sdev@;^-C9_T-Z
zMh#DJ9Ckl=cTqhmYS*WyU&h3QguAj)cTwB9ZU1Fp3{2|q0+@eW25}2DF(oa%x3~8(
zFwkwUUkN&&nb}$0)wvzLo=1heG3P(dv|0WSx<R^=MNj9vdt8}v@vHr}+$C6=9yPpY
zmYF%%Ys<?IpOz^|x^z1WDpn0@Y~nj)UrlzTzUYRO@yKPo1ZNbzYm>~<@;6C%ts%Em
z$EMN%1&7m^QY&{oU#t5EeiF9dLPpC|&eEQ2EG#UbAi)rk!Rtg$PSPnB>MwLM04~hl
z&<Y6&ooxKM`h$s$4NU3S*x2lB{xOu*dxm<OS<fqXc;sKc1m(Zl{mezT0v{3hU2t<M
z@NnaHunZ%v&OM$c<%NR6UHnTw%$(mGN@CZqfnvRyH19{5QexN32kh08#qaZnc7fDo
zPx!vR?uGL*J@bmi8VY8;GOk?pCV+f6XE4D~i+7-lJMPO#LLfof;ACy*@{&MUtX4Al
zK<-P`tN3ZnAx^l~r{=}KRBwlU?j`v!g>kFtxOF(wNmA^GZkY&z9b}`=S0MG<btdkI
z-#In!rOv+IQg<fLofJ%(UHsWNrJf`ItxrE2!y9Vp>i54#V`SWe;!ndU6BYP0m%CiK
zgB=87N8Q4z$xJJ7FF$!CEPQ<X1Lfm)m)6}Zj`$t+$r^$P5TEg$ETZ|b3-=u@9=L0%
z*#4|$wO(6y^b*HtZ5mU;0_rI5y8m9V--nibHl6~e3ncF;wQSJU_xeqq1d=~WI}6;_
zW{Hcj5ove=n>1ITd=XmR&SR?cOvFF?wl?m+Zyfk1aO5k)lK>Jid0W*djQKaQyEB=r
zFzk_6#<%ZglRab8-sVE4OstlSt$FGSw0-P4GO>VukX;$`krp97e~94Pq#7~0QPJxU
zNYd@>)d_JSeotEwPb|d!-~L-8<8}U&UqaT!$V*d_+V`-Ul!iN~BsysQH>_OF)*UGg
z#9#Z25;`;tX*&thZtiiqMGP`vbZyE{U-inQtaVHn1v3{@8;vL$_0T*eA_o>cr>Pq6
zPtIbXn&eBzFxpPb%t`l0D@mh5F~dw5KVI__J?+stnQkQPj=Di~AWOEEyPeaf{lE~*
zoU1N@uf~*jn#g~xL6A{pL9KjVyjjwkA>9#3Oss+{V5=HR!WVo?Js6CLzkZ2d;iKz;
zeMeOF#OzwnEi3iomExV|@qBmv4x-3u7OlesABUIRuH0ixm2&!QmG(*zBs<KG5>tuz
zA1!+j^^Xmo@}4##5IaDyJxvp=m*3oHyDR&e+pPF)JoZwx{2Bhy(8K#u9Wf50(i(<U
zJc4s9OWtK&iB|7&nk+Tm?beVpPq9z7bR3TQ$v9ad=kWp^qwB6AXl?)@nbgV6-}=V&
zI)9CqfHCiM?mJnR1+S-eUT2#Q&o-JEDE&NyoTVfR9vYu<fSuop3VX9tl2aolZi;i%
zT>ON5Sx%*b#+=Z$`2>)SgHt5*b*t|WX=9v|HF|Nn9y2!K_H5-nIVGFuEI>qDzak~|
zrznV$r-+Gfx_c5Iq3DaS6joIo0c(cU*|EKk$n?erH5u6>?RwA6O{?TldREM;{L35O
z+?H&-$vu3ex=nXo67Mk9>6LBm-*S7vACoxR5iMfb<Nx$Mw-@cl6fD6_2XyiG&CTct
zv+qwAG5tEh`f1P}9U2nyLS7ym&+^crf=+e)y6w@nesUZG9%&Rl1IIuvi<$2!ByKyK
zS|8nc^Ie;AbYyeQe%%K&nx`mPaV)?IGw_@-S;FM24>f@xK{F#^{i9^8bFFWG$0f7m
zvw(BrG-xL!AP9yzDUgU!(>JYQ^Z;AH(Ny`{{Kn<%G`ocE+0>TJ5O>L@&7F7#VYM-_
zz*n(n%-WB<jubuQTqGm2xKlS0x{93>+q#?cvQp}2P3<qKp0^h1j0EmAkV|fql8+<2
zH+q9w`o`<(A5HHd5Ds353pOAZ<(VR&7m5YC4mIxv92GdE#w%<YIXP|r)llNfk3X^>
z)Zhw+P|^K4P|V`;U+I0FTWczL9RH|t^5|;t!qGM6)=j-%H;y5ezEZdn@V2X2+@e7L
zMuz?Fqzhj#5+Q?&c23O{u?%)5`V<&Jj7fKF>hIr6kJ220@lz3zcg2^gpS>$CbY5zz
z9Q%ItIIb{sfE4S5S==yjO>N9C(l$8aH<b^OM29h6cby|&(Rlm*ebb=$YQ-1&WI;hL
zf=g#xCA<t}Qgvji7312}RfkbHFxYL*tJZ8vje*GUL0o`IKX7K|^&OM$FOLd;{>KX-
z;;6F;5+aeDj7%q>1sIaLEj%mLeB7FwIPHv|NYYw@ey*ud)jOFzY(6=|pupMlUMp#3
zLixmx{-XrBdxD0*Qf9S5foJq!{a{9~ar?C@hDW&HcqwhSRUa#LUd^8@$rEC$SC$C3
z3jPR@=<>VXrWZkjeQJ(|Fvs4!01pw}9dOly(49~PZZ|Idv};oj>7vpvTPrAbKByKY
z3z#vBeu7a#LtC>euVdCy=CHwCm3)2nh`GNr`4=Q#mg&z)h4z(`)LPlsiyS`7^vrio
zoGuibE*EYV4+WhZ276mvB4Osn0}b$pi06f`NHPt|CBC+`69~5iP-j)jQh=uGm;gq`
zU|22md<y_R(3a2<4yBZgb@ppyoTY{$H&sJqPYQYaZTJAXYc#3FKb5lZT#{0@`%N6z
zYW$#x^tke&d5C)0LQpJktIElK6m{3f-7;}00q5M$rjkNuvs&)_QFA*W^0h3h#~}^h
z%An~Mt?Y4D%(uWx`vvo~7|T4|lTWknIxn{lGwSUKX&tW(I={UHBQ|s?Kr5|zC6llc
z$~mkIj0lCLdt?c#52?wbCicvXsCWoURHa2>I_!87^ZSRPGK+}k^mb1WX;=_)|1tN+
zm;cAyzcdL0IBspfWjF-|1yLsYn>Po{Gsxgf2N}$(or6o#&La8qU)@3|a+r<uSk}eU
z+ubiGT{$b=Y-p&1`g}DlKQlAr;!T`K&%7q7<w*SH`^4=!Wf@&((H^+=R8$w63c>ZP
zO&=PC_+LFPJ?rNja9Sg|i-{@p6jW%6gLe(Wl~$@wE9M{1w)CPT|IVgdSUEZ}&Q3Nd
zS08L{7MRAh+X%i+{b*9k{}H{+ubg<a40{|K_i9|Jg6(K$j8<<%?)5hnx?cr#-z*s@
zgC2i+UNpkeXB;=|+9sQH!jbPc>QFK5yK%81MyJ7;a$ooSAwS*u^t~Nb{cC5tc`+x1
zkB;aQ*<M^El*rD4GaKRk4sk&MF>wcGq!qIJd1t>sH#%IRtSBZ9bZ!u}P@YFMaMCc4
z0dhyNw5znO;Okk*qj?Obf%ERs!^p`d%Y<{<{-|qpo{VAFvE7V3n(TOg1}kWN)r!7Y
z_#h-LGf_HX<(7M`ZIi*i&XkJuNt*LA<KRl{AY!JFFM;gMMw7bYh3j*lagS-cC>CW~
zZ@(|H^DbCPp=62SJ+uV@>urU?FnA4vQIMzD!v=<L09*X&6JaP!+g6nmbi%C+)RSKv
zo}9oi!B<JIilJg!-C0dEPjq+lbGiSEiHAXt&+4oPJDg+sjNz@Tryaq%5l%Ico3~1L
z4^j_<tY>yyoLTj|>O^KmIk;8;uhpK(A3oZ2(C&$AytpG1VfO<m>Dd+18qi}p*f36z
zPradXbU(hW+O&C_scQ0QmEH2@zHCP9(J2Kvmb!|qsMvf?%tc_1&wh|gWYI;EH6cOu
ziHu*(ECd2x21&gc<bq7Kvb?e~M{DaXP@TXjmG@>4$OHeocke#?Bl+7FOP5)k;N78V
zup?hkW|<o)zayR-@4`p(wa(WS!(Iys&*>g=lQw3n3r!B8qpm90%g?E8Dyo5G2a_@Y
z*wumDxcQ#XV6L+HgG~fCA&~fusruI8eK4i&;mCrPbz4iYqOq6#{ZANct<$U@mgp8O
zcJP}53)f3Cef8ZVS#l$&)&_9cu!Ghe;p0(|^IQv)fXWTpr$2xG02detTy-vg9dw`n
zHH?8fF3j3V7Wn-d?@8;M7dr@|io0Kwj$=9PV*G-B{nAnxwXe-A>@zoEtacY@GAT$q
zNqBs~=W+aIX=beUubE$vaO#4di)$BVaZrK-(C^SqprfNhtJVfg#P~SSS}HY_IB_2W
zA`8%$O7b5VIX>r<dGMpI$MN!tHwmLxN3SysX}dL8xG`1f`7&rElN<a*su83azGl@k
zvJlriJo&6y$fg=s@i{@)@ds+k!c&59%KraukfUwT-<Pg(GTSVzgq4*dBI0^?fQchg
z+VjlFzTpdt#;3vN>So2`Jerw@jOtfi3*!22=l9}x3|acWGN>bO-)!P-NR6Y=<93U9
zrI2k!{zEQU&=hab(FV*RMguVI43BfdDLkX!pTENdnU94Jp3Xx)#^(3GY%^^F>*ec0
zi>}nFEOYlv)x=)4T(+lQ!)v8wG+lebZE)FGnt8CD(?d#~wm(;->iUGmlEzNp1usqz
zJxC)vm<@5<6b&@e0?J$X5Fm^HCzW$3OcO}A#gUTi@3#cc4`)HqN%8|KvqaB-I^X=!
zqemzcy9W?0I}2<Yl?n<9bWv?^FNnaB57NRYI`RLJz}c4>>hlmL{bByq0SI#ND>E}Q
z@9yoHcc(PMT~8RKqNnB!mP8al51E9yX|}pk8<ZWJfZD~``JqYQU0z-n2tA+%i4`^J
zF`UG;QQYKJ4+TY;QWf=&hO`~!<)3@!vX?9kn>!ZWsW}vlm+3bBc=9x6xLjM7x^5A&
zNWbTHU{ZD|>$XFzPyL!9KH#@K7ahv7n4Y>Asw?|ebbRI0zF~k-Zqh|=)$V73X%l9I
zr|0v0O_so5wmL`9Ob0^<H-OKyU%h+%we1P`<Kc!9sMGl(Xa&9Vs+gJCDrh)!HWltM
z@T_zKZ-k)_aMa+8uC$rELUeR;0wN2TnGL}KiIP`<GXtLDi`J1J5$&hv>A}IW;3tLI
zx>AerW8fNq+Q|nip21)|5aczkj-|oTAiBcX__uH00HDGH=DI;KnqOII+qt;}lTjw1
zxT&5EmNCo9c7dnZ;jJ!^8K~LR{;v_k5j$@Y8`wE}mpjFtbeKQ?VD5k^u0Lmx@6Cv0
zmKhaVi0eM1YOBDl8H(<X>MY_Hzp;?{I3=#@b^|(MNXyy8WPhxpaiP<g+O62R=;WoW
zPkWM9uC1Xf5^l)?EDH!6;7RRC!$RHY17=C6sHk8xAGkJ1MS(#<18i`Vqp)N^!xdYM
z^D;8}^0fz3JlY1|Bq%0us~zUIhK7c4Hv3=!g(OyEJqvfy@%>^2m><lZFq!b_-b)mP
zwYH}5;srb0Z3UKxfP!Zez6+@F`F?&-wt(|+admBOY=o2=><5A*cu6N<L>oMhK5%Cq
zwbJ%9+jQwHh04lGFlkzWFa;F*RcvfXx<inHLGD_gteXUa6UZ<V?xtmRGo^=~?<I6G
z+DTu09$&H8EYDKE(QAKRQo|>A@!2^-@{;306*3#kK4Hp){S&X%0iUi|Lt4bd5xeD?
zv)666zCTN=)CaohB|mHEA_dXFX-L1&l|exIIea2!dv{l8(rMP(EJt9J6NdiT*z$pv
zqU5z}NyD-jDfahENlhJ=QG+8vDw_fA30WQN?37$aFF-_k#8eFtHR|dL3SR8_&hOv9
zQTz-b+pMgtRkDY0e<GM-B))kQjG#;?OB>v)2gK}`K<>f4jH1}IEF3yOxuH#gp6A=H
zj405Dz=gsX$Tgy~)15B2uF%`Cy=A1OKL!MVxz_-F{_OM=$iEWX1(`d57WiCtGwJt~
zU^eLd&euG%L@lY3Q8SYhErqHg5B|2K{3TuaGfe;6aBG|<tt9}udQ|of4^Ipw=rL99
z*X%Gp>*O{rdnDQ8O80Q^+^|PC_}4F%qh4zt3(}R{QVW-h6-}&hXDSI8CAatl^C7M)
zEU(^fv0+9;5D>F6^V<KikiJ4dU|2JQ;_L!f^1?)thiY88i9W(8MSC=ds2xb{pxH~R
z0>34Ul1O+3jsW~YP|>GY)}1NZf;$(oU9c#Oz0e_*lB^valX$G}5Eb&9iFJr7sH;nf
zekA7}FxG*4B=}`kS1;$YLMDPCa6rjY($bXR4F=^HXmPPX(#N9b=jZmzq=&39Wlw<A
zqk;SH{5ocNdwW;g*5Sm)SU!Z^^?h|oAgQU7kDXdD|H7i`U`0-S9sNKoPQH+lx<bt_
z%!PE*(jd-~u$ERfvi9&VLGcSbPt8a$@iAX=T!j7^INsBdZRQ|Kkagi6FnAeN74=Kl
z#oGb#KNx%Oc&h*ZZ~P#YBq1q6$jB^2<|$d(8rHEQWS70Ekjx@vM;Y0Buc+*u%|SK?
z$2_*{ar#`}>v#RG-}Sp)SATqZ>*E~G>-Bs+pO43VJrMWBb!&CEcVAKaadI(oYpI<y
zQ&e@lO9G_{c!_yIW&&yo@D;DSHp3$V_Yu;R+;FQafB!xLp*M6#wzYevz&V);v+(hS
z1)SgMh5bA_0G|(&`lw~#LlrQhUS5(Ej*GoA=`Z0W0URJT=Hh}HQ73IcNg7~AU9dIh
z)g6mIZ@#$FVAhq$%6uF|4Ak--cvpA;S|cUh#NqO?vuAj_a;3HSe<YFvG4oN|;HO;h
z(?V}JJ55fEnwlL58=uv&ntHcoZ@i9rcSfB|)NnWKY`$;7^IXrdKg(xJ%U2D#V^0?!
z_APapP#VmtbRdhkZV%A4r$^s~V-CKetCye~`<9u#k@d5OuIt?oA+at~$7X!X`=zyu
zZ&G-_@^E$hZ;_exI77&P*kFnt*oGrpGlhCsQ|g+!AgpSvzdw?UkA3><g6jqjbP!O}
z99113ZmKdvzYKO;%-Q8MCue6f5?vHLb0uw`bp$AQ^s9%!h69TO<PQp}s(f5ript6f
zcPusj7wWgna*!9&r@($IEQ|xfYLep`BmzZ5utc;B5uY6eKcbejSm|PR>bE^9^Ovt#
zN$YF^Z@70ko>)Hb+~Lv4dVJ!rUAkoV*GUVN+Y4q1miesq)Y$V~k|dQhlAi`$BtJT(
zyG5GEuW)vih6>XqQP1UNi!?yil*NVvX%pL%t36qmfB^&B2Fd88-JoxC#j*>sL;gSN
zlC(N5AnFGcyiWA2Jq`rvWz4!X`j%0p2|$^EKMT@RAl2Ym>!+Jzen6Q-e*P>kZG{!D
zDge$K_9ZqpHdz^&n8DKnMG4@Z2X`B2h%7_@AA%XT>j!Zh6zccx`2+>ogcauH<;BIt
z0h@OT$XUD{s}Hy%yo3r+WWaSk&^tIfCcps!xUE*6<bS7^K~no1X~CD7{s1K9eUc6f
zYH!^qwJ8Y250`^nQrFI<XzzIJ*wzW|J4{%l4sf0!iVG2Q9GX(NA6YP;KS9aw6_p)C
z<}b`QV~G?hXuPECf09zN>i3lXWGf@A0O#XMDr`k{aT#^F{}R#qhXEajG$}JNgpV3*
zJfj);v!F@`1|2sSXUhxyGVCr82QkgjUO552reQda3R$2M#&jn)!uba!jg^y67^Ff3
z1}Z2iT|;_#=;~ghql4fLF|ZE~sH%8(sj#Pnhf^}!ISU`&8S3kM3_gK#aZdy`A^z;S
znHfmI4Gbpo^Yg)^4{q<Z;i7bKa)9k>elPHMD1Fw$wQHQ5oKS@We*>0}8n8eFn$4Ov
zUUb_v6A^wa*1ct%I2V_?qp5T>dfAJBdj6Z6WU*?A>-^Y_*kQ7flT43Kta@7`eC!1e
zs5QMEKNkol6pWuyGFl>Zj5;4Te-bPnjVfBa_$u^@71lTCxo)uEq8=sHWXS!}Gl=|~
z!xN9QbM%KeLG3gMM=}HzbRkdTzkYu7{SdB?eAYq2Gh|`Kx@p-ns2lM)PNt@&z#qMR
z`xbA>gEI>M7bwM^6CWNPFWm*F0rT{73#55aQlMhde`4P+^r<50`JXp~5DB(@1IP)3
zkEx|q4yTTv)NLTHfrAR3Z+jmcoLv~KkP7DVKVWH+l9B>5Q~N+_+0Cu`M&wX5()el@
zhPv~-WYF+XV@`<$?N!Eou5dvktn$>AQbX!kztv*Z!Z~^aDBOpLXl~|x9H>D~%-#8L
z446_jmA?I3@{iT`=L(Fv>K-;Oo{$_~4(5s8iisALc0eEqDv;ZsLe8Q5!14jYJm8Cp
zA!`bZXIW4;pAK4?s6(=|H+6JaFLWo5G(j@TB`PWiU&P-~NEV72^oRHcgGvYUUxC!{
zPs+;5pg1)L-v;<AA<V7-NC)O~q@>2I+TEUqy9GKq1Nwf60q`%wN?t3s+Ux#j4t!bC
z^LSsMGol67gRX`KUb6)>c+L86I*)Lt$hMw>Eqp%G<Rsp<x18s0OL`Wo64((XXg<Q(
z)!u$vq;DfHv2$m(UneixY|<>6r1;#j_);Dt%in+iK)vz`8-8AR44u^1y^mk#hc^<Y
zxMSY(jKAI*Dd+PZg4IS~)?mqJV#`C7-qnNT*f1ykOhS$@6w|jJX+AnE-}%t@x38uu
zXY{LWy$=D@d?L_CfUVIeJ1HjT2@tNZDnh7liPclV?obaJ8OO_ksG}3ixV!EX$73WG
zhY+~c+)p}5{FBT4X4agP!C-Y6#%5%n$Km$<bxWtI<bgTb?{#)mq@%_AZr{hA{H#8>
z<9Mg1gYFNT$<5fyf6L#boVscEk>K>_3C1K*v5whx5wp%1(oHwXT_Q8dO%cY<;MV18
z<ou>~Ra5{o3rhvrP&xfLls3l3#>#YnHsss3Z{*h}swPQ}4-GBM&*Pd|!aj$D%<lR7
z`vbj-%Jt&Yfb>G}sX&jU<;Dn_y0`S_d=YCQ<*pdXEwiFC#D&~-qagvKcEK1~o7V>)
zP@<U@Y!O+8y@6Q5K0m2Dvcf0hIy()=r6-;@CFhZzon<}kTWqdOGP_HpJqBb0+LE2A
zO<jMG<J~5g=RXZ~Cd^CyM%JE4bdg4uTNo~5T0Wy!j{DV^8)<rEj-T@$R68dM%<Z0g
z6Ye@nt%N{0e|?nIXx6d+(fN&N-&EZ(*W~<YTf)QCM<!5aGa|j9irkz>?R7xsf`S%-
z4Ijd=r;V{292n4e`ZO{rDX(u4plX)s`k`+}5V2z)cK+JkTVN(mOJhSKC%EgOW_lA~
zWMt%<Eo3%qpX0;Djk(|<2hk~D;sbl|yHwo4nlpM|>?{@?dQ{4T#Wj>pKIQhFYxyXq
zr8(-GljrrMpSx{i(WYFZlxNo@p$WU`sU&bH7w1*kf%$6S75{fJdU0gO&W)Y#k4m*_
zCxs5b-cT2>dex6~3EaGM(m0Q~n#b6Z&C9B*`omvO>>d&dPjI0-_%0D5T#7@B%mz<3
zlR{|rj%l!DWFeQT)nhQQaS4NV2%p{v8kDFm8+3I=Ny!~ZjjFC5o0youXn*Y)f*t|@
zQP6yVv8?6JH@p=zKVL0J17g6!+~IHVNQtnsn?Yj*we}dd+uI-c_@_2j)G@O-QG2{L
zH5IRu1V^l(wfAH_!46s0iK6MPD`_eT`(T_FL)K6cR@3l@`1J-3tx|FO1sh1|Myq)x
zCE85-|D2$#Lyi72@OAbmtRamtahbm~m2){_I_V&%-f=^T<S;9_+k`(WVkYuzZ<<;A
zfVQ2NKg~8d-*Ex~LM<RnV|04WyKeo@<5K==Tgc{;+`YHi7G4+uHyjEa4-o7{slt=^
zJ^<2*Ok+SmllrLR^X+L!q8bJHm1SOyX~mB?JrE{>$u&mM{1K4E5Y7VnRJ>FvPpjZf
z0Ei1jA-=QkH%JwR!7u&n*%Z7I?Xjtxqk+=Y#Esc^!LbERE=U#b>2%c{Z|8v<&IK+u
z_|EZhQdT3?Juk*UcLgCC_oM-V7s}bo(=M9JDMK#}6-*0Hc(BZvIas@~pK`grUPsgF
zqB~V*q`+Gj)Ik}llt^<|o(Wlgpv(H|&3l}u(Q$VdU4?zbl(vm<NSdjPi!i%|vX}a-
zGc!L|9jPwq2V`TFwO@?4VJG(=F@Z++ek8;w+H~^q7tZJEf#L|a6hf!G_D=JAKT`yo
zqwBg%U9&vRg|Gmqo}=R9tD$5oY9c*%4k~FSX>h<7ZjWqjZNYIoUjAwt<QP^>+pVn%
ztE)DpFFY(QEy4Of%<}&I`!N-aw8Ly`B#3;V?AFWy@tH;Gml}u|1LgQ-9)1JuG}u!B
zTLD8H#HWIid=cVP0q%V8-~sG}@R|;r9vXBJyZ}7u>`I^2)YaD)zJ|rxu*l)_BKfO|
z@iC&XMECdI#L~CTfZ@kSHoniu&Fx$Y*#dP8DBiG0n^P`pMti6)+?&06^70huw`m>r
zyWSicSnr=1&!XwXkCZQU7PYR`mEU?5cd$zCxP)A<ZvC;v8`yu|mg`esWhpC`FCoM8
zO#B1+y@cuF^I>+P2p^O>@hOKyv9dmau7$36b6ze1p*!EJoXHQj^E@#;I;(>4IpA2c
zHaEZR`GLoPhLI5o^%{yVI3$D~I4{U9gjBF*LJt&b6uS40*jHg=HSU93>mcMXdH(#;
zrAv^;v$*XxfRdH{4Vg&U47{Mb<mI)2(-M@ofQ76;ejMm*YhBij+GfXOw(-$!5cmc0
zW&5C8fNvH};JthIuB7B~K@&q;bMx7A=L)x{NuLQGJ2a;0=asqf)nF|NdVw6}n)Q1g
z(MX!!Qk5Fd(s&X5x$Z2VM@k`<#Z3@ZF<umib<&o_jX7pztN6^nNzF0Y^F3p{`sI+c
z=;r#f#|w7BmTOT!a;_ym$|7QP<G?1r)4hY}>n)1``A0#*kP`kmQ%;_Tn6cY^NT`xu
zeeBOAAUX||t*oK3DHI1FJO5OJUm_>ldEQ6M1}7F}v#>(IHgB{u3C*`viK>DErI*wv
zAH<r>wRqo~ZIUl@Q*<d39hVyfrX^;bv&3&V=AC_bXIw8YfLABYfma1(>Oz9c6;r7Y
z;a0db#cH<8Tq(co#o16bBaTNIu@8K3mkVzwp=6As&$w#`Vx=sCOO1kqsdP<lI=0p_
z#gn=Y6uZ7w67UcoHz*FZr7bo07gmlutor-v$B@R=i4vs=4L^SIBfDQ>Hn~+fR%@kY
zM?^ltyXfa_xd#pmPS0o&@qh^UZfu!^nA~irnp)W!iwtto4x|Z3ze`%%>=`r(WeoBj
zbt<eJN>sw26*{PAsAI3K&V+O%IH~_$(w=SES$$8J85c%{__l{ODzn}>Yb1`)@<Xgq
zf6D#9-fwzttaH4#*p;hUmKgO1y*9?M-P`OK#J4PG*NjUX9T|`BA0L0yVasYCFf8rH
zq$I%Zy_Z0t<?C$cR@S<gHN5Wo%&GF*N-;ZM(efQk7=#6_yf<+Z_B;o+YVP;wG4kq|
zMLz^;LJTdy!dW9GkJ%V$4UsN%()Mx|#y=n46>dHnFH2VOtKzide7bX3IeP;=uf<TT
zHH9k9I8qY9_k(JUpx!c>aN@WH<z+^-sGSt3k{SI$UQe<mscom%bVRXMa58+$ru0G8
z)6IweF)RFq+3O>;hb^Qf8bR2Na5Y~u-%k@ccGkQmMF_O#z<$wcX{zpO<<pRm5E6oc
zvYKa~xcpgCh+K%6_O3ZX?hEL{Ln+-~-;@6>nQ5_;jEwMkvE*VDeK9U)&c4X&#&ehB
zo!rdBBKK?UFVn|aGQXE%$<ZQL^$Cl%BqvsnP7LVYb2z6dR4|dO+q*^ATGl9DJ6Qiy
z-uX3Ka&}~EwU}oCxP|(h>-A;!3S&pSYcsBjDdCyZPo0@=SN#XJgAz0JS~G?C{LhaY
zRsAnJ8|}V(A1r<h@KOm|cQ^_B@MK4RU<DZ<T8tT+=_S(ir3r6(J~1V(jP0cs-!u44
zSEQ%qJ1?>&GF?{pNWyUEdILT!vHTRFhnU$_8)}{IPQi1ncf#}x1tY8ZtAih}=A5<?
z)-6Pr1TGjcRJb(VSI1nQGI{tXg}-{HW%I({pnZY&m|reav(CKoaS2*XuZNf1nP&Vj
z78g|g<#h2WgTk*76N%bn85d+VnD!=q7`FSN#h-0PkG|2QaK#=wIo*8X75#<Bg_^5D
zu}UcU=dZ6x8rqD{)4hwxzxi&6#fcfZwpE%JACT!?9JLl}q?-0qO)QITTp8GNjq-SK
z2qC6EPDEMVWvDSx`$F7J&9>?fR*9x5vb<AGpVkktr>t=B+f$6O5()41lyh{RXefAn
zjm&Ui_o&@T9pOncAT(HD>pPD8ZQtqoNL2ORVOMP8Q$CSK#N_?_H}r_l_lX(CKK9ZL
zat$Ke%A#<AigTG8Rl!I?W2eq&2hrzQCJpnJGTYoczs*}_o%d%e*F*m}66bzs@?X-h
zEFyiTz2&qw;@Gf^UCqBziwUAf__$Z9rZ>vIf)IB?kAvr>o$=hxZb4)<hfT9?5wBc&
z_g}q4q!El-q&Q(!T#5z@9j1JjgoROwP3lhttRImscKqOCGawVnLw-)UEVG8W>zZ8J
zJu)2?^I=pcOewRLe*jxyc++EDg#4HN>&A^@v2aI;vYF5WLd3|K<MUw~AefT!v3>W6
z*PyMFU;AcdLe=cv$7?HA#O6g?Tn83TVOQ=b)U|1so!on3Ri?d`GnZvAmitoLUz@^f
zcTdvvs{V%Zu2I{8m3W%>r9#)L5Ax<Q>K)8iqj|=Y*)U(Q_XmeXoy6@1bL=7ti^Sqz
z9!of$s`@W20CP2IUsbTBHzC593u2Ine4d`g>fguY=|-)j{*pm8ZI>&am%95*LZr&l
z#C|9ZL6VerhcxNA(ETHOu3sxj!>Vh!zf4?YkSbB^AFRw=c239qwmaUa!sg74Gd(Ir
z+UR?gMNa9(p-CVUhM;)~asArm0!v#fzpErvldN?bE?wv7r7%6IWIo;uRoaQp9=%oO
zLl^JrWKH#r-|(m%*k~&p#%^wmu`ZO(|J2yi<K-pKs#xC5eYuXzI(1C-ccbsur5>3b
zlbxEjlD43HSlJ8&1PtvJ7E^9vY~K!f2Sb)G$f^}Zw^0Y{{msZ6-kWvyM-7BF%1Gue
z@y@I|56H^9Ig39kWY8`5yazi>)cx_Lw+$67+3u+o4{UJZ-tF+{k6laaF5_}??hU{7
z5xs6Oq7>FvXB*$!$3H89Ov4$X#tUoVQCU_)Z@7yYyEawvL^(I~b+xgcJ^Z9lPM}Xa
zWk20gF&uor!C84eF+pZ-K-;{rrrYLv^sEEP9_dq0CY{l|pCI(s{45WNk&~1e^^JU=
ziJ8n7CB6&wVHDGPM5HS=K4Ql)^r{<$?Fi>G=4vcst6fGb_0&peYw=mzt7rZAByD$e
z60H_@9j`eN&hj*D+K%#C&pS<>nsYTTFfiy<ZO9s7{WO99G^aSREAOVo%(YkU|K7EB
z_T}YUl)vIL&e+P${ZLDCT(C5z|3eP%ec?k7#sZNEi&vvD<<ujW5-hJ*kMIRX%*#D7
z2w>y1pQBjePk2=?V^T#izJ$i8XnEGqcbUE7k3I<k-NmHe#mP|;nYOmhF<JfOiL-u5
zjKgQHKY!rpO7d{ckA=V8t6k1ZBz6DJ+b_m?o*SsXj;@ZBkJ#n24XRbcC8zx^pU~Xh
zsQ!S7wkV5t*nK(1yy;Ywnt|PeC${Yjb)^=|bO<7wE9*AeVva_}$_-a@$5*ssaF%lZ
z!5;X(>pid6yVK{5j3}G;s>Eh6i+iJA-Ux2-`VLFLb$9RNP#wdKn2IYN)${auXHFsM
z(e0R(uKA}~)Aw8W$}?0A6`KC?4XTV6b41VG>(k7-%<0Ap3~fbkR5^FLcau0j*x;qd
z$5LN_r<VMN6~+8yDc0ycZ8D~gg45Fr6Rzt^^N7bmMJ9Gal`F;ik@r@~!<-H8j<|yH
zMS8PX>R+{w)AD9j@}wRw{|fiC5XMC))GkU$&ZC%9V*VO%U@kkOs2#KTPU4m@2Eh-q
zcN!z6I`(NCBk}xDZLPkG`<m~0{5nz6`gtKh%`5un$B4OxoNA?tCC@TPkq0h|D4l^j
zSyxaJ#l9wluKGr$^>kg5Xa;BF(pjH`Jr=Fsjy7=)MSSUG-}M^2@fw-c)6}~=^(3>e
z<Se);y@+QnH0du-l7D^@w^+PaQ!3BVKpOTymjcZ?>rA4{ud?b9>v^U9Z<)!>+LC2$
zJW#W_d9cW+#4B-bY|(S;%f+UMnZrC*^!t_eESa$i>O!V?4)4batY~KO@{57sk3p!w
zc`fzun7U)#0ONaYU)Z12Lv;d2ax_-&&~r!5|Hck0>}d^lTTa^gEcuRSZ4Os=;>xhY
zm{8qM1&+&A{SOY%v<>{?P@V`l^;JogSgsD79(JEQZ8cliFo@)NcSUu=F08<Pk%uG+
zN#6Mm_E&@tos<vGY4wmRRxB(8xpgiZauHn$-mC2NW1d&EGj$x|!tDoJbW_S4C5cr&
z<CjyzvGslccB_*<VczcTI2T0&lAN3K#9__N{YUFs+QiAPyFb^d7e^UsRPNZ7DZYk}
zwE~$~0h8?pJ?*_!Wk*ggmdjoi^d;x$vwXm{24F_RRS!6rL%d=YuDgfNYw5i~XP;%1
zTyO&i#N)>iQpQ*{yAGOrhfZdpWBZ`uLbU#1cGB-iP#jBCeDd4r*uqI;!a+`wMB&L{
zn&+h-wGZ7@T9=MYvrl&dPU6(IreUBZO(PRIvFHAH%TM9uv7u7iS{iv^>j@fbOYd$u
z<MuY(LV(qy#qI?HadDwXj`8XDC!CQM5YMGSmv08`ym{6;(5WSqw6quR*}6bT7a$@A
zE>nJBP&`dc4Bu??^m^8o+Ytz#DXFNSPb<-}25;aSVp6Zebve`u-jos^-V37=yuD8r
z78amQ1jC~k+TPfB8gM-cqn`mFQ7q9JhrSn*BJo+Sr{BId!xBQ4eD&c*oAK}9_aPx<
z=g<GKC;^fx0eWSazcTAG@03iq)<3p`<3Ta?S)XZF7yZ!YHClb3=)T&e@Mp?8)tO0n
z3I$nW{QaXNW(-$Q_LIsq^+mDhJp-E-I!K&C+?^n+RKJ&=+qbP@u_#4B-s4U7?cnJ*
zyJLCiEu8_~`T0}2fUmu!<=Mo{+#GbeV}pZ(g&n|Y&vhnn<u_(#W<qw_C2DF4NSoJ!
ze5QvFTY#`Fvl_Ph`|~}hGjyDQ?R9wj<Km@D5NMYN#582ffP)EWRPP2~l5lr${qBH3
zA29wdTHIpaJb>w-+=4&Ai=Q0MBLM~^K9<(Vfzcn(z+n!6o&kI*K_$I!5#qt{?!m+?
zrowx~4C3#(>jJo9zcbvn_~~_1_==)9d-u511x;V}rX?&T+NRHH!mi`co3>C0hcZ;w
zZ!r8>djmF>SsNectYr##3aLxR^z`MOM(n-kYCq9^R>WF;1U#Vd;I)_5Jw9=Thr?U@
z8Y6{oOY_p4(|i7~n=iR?+HDwWEk#|V1<n-6^~0khP@(`2vfaX-q-A~i+BI=-00XZK
zq2~6$0Udg#rKJJq3Mw^xz;0#bK7^73Cje4AkhKB18a{0O9(q`1MMZ%t=fPo#Jj6EQ
zO|<Ijx8Wkz=qJU;>pp$TS~1_=-VPAsnbW6XeKqy>_v7^tprHp53=9zf%mro}{7mE$
z0Qdyhy0SV@=PxZ;)aXwP4ekD-F#ui8zze}zSXf{(t9W~~310cKX`6?X;z1v7uskbr
z7Lc;2YgP|0=xclIMbo)8K~<C`wZirr<<*NFCPJvG-1bC<q#Z_t(zd+V`6E+#H^}r_
z%G=Iss&;mT8d(ycBmy6yOwCK6!K4LW{goCX@&;a6BMy%x!L8=f$o>pw0sxO(M7cRR
z|EZ54$2~DCNlr#)1zl4Gt_0D9Q2LJ%k&*p>{(SoIAs>tsVA5bdM?y0EAKRp|atACk
zR$R6Bi5Ig@`O7JQIOKK$Kp+8l>%Z{+lienyZz2obWo|7jFxKSsqJrGq!2yD_%3yW@
zcOS6%D$?*jPLOtU7Te1I#^o?wknaYnA*&q@@u*ujM7-{57P_1K9H^MR_Vf<QQ}<5`
zO{bs@$>CLPn^zu&X(SW4fs0v0cg+sJck?*OxV=V_;-<^v?cPr94OjHFy``So>q?#>
zc*#d|>{St1%t+=kDd;9rz1_+5*PGPY?%is8>b%#DIA;gCX6!j0NyUk~*79%<%^r`@
z@aWt){5jCyzXBj>07#B+!^j<G$W>A^F-c`%xyiwCJq3&zcyWj%17vdnNzFV`YE6gx
z^1~2R3Vak25O~Ph@4YJ4{X!5ZaHbRxF~~2+1klpb20$=dr<E@R$}>{j5gx6Zz9S?Q
z#l!feZxQGTYI=HrqhNwi=O$&2h8SdiF;_aTC5|7{zjmLbelAG6?REsPjGn|rRl79Y
zJEu`CWNPx?3l6x^D}5a`epvsq4f%z@GkKk*`+tP>q?+d*F5LKLpM{Ge<@P5P+2c0v
z>$2s=$(hT|<adE7BxLq+)552muh@&b!x7y@QeL8a%qO)&8^Zm=bywaUrkGg{%`3~>
zmStHv8SSmL6o)aFDxY-OvJ3F*>u!%QA3uP{O0HR6_t(I@bOZ90;dcPI`X3+$%V7jX
z*1PV`0)esK-oHz)14=^&4(}ncW#-9Iv&B|4E9*>LWuLg1K+g<v8h}_vVG{!XlW+BN
z;HAjO$iO25<A*>I0NIED^1{dz*Y#gCtmJQx%4|v$K=J)R8VqKsKMd8f`lSIWX5DG)
z2fnMFHtec^e*ka<kj*d*yM2KKRS#@hfDr=D>3y`Q>dkN6&Q?ZhzSdYHtHmbJAt
z5MYfB4I?8XF0{+rZcc+oAa5bw;UgogegmhF?AKQ>Lr&${rL>Jo#U?BsO?}R!;by31
z-FewC5j*$q4`_u8-o0cb?BW>~<C$<Ex!TV$`qX|(Tc<g$-*AKC?1c+9`8)3~dPx`c
zV+e_ea&j?7+Z;|L`xs(_y<d!VQFhn0n|H%L4`;ieB$CcuEFkQL_P*9CTz_G5Z}I%;
z2gb%Ms8^bHCkoShr~Y~~w#3H9YI(|L^>6T%o?ijGX^?*2T6gl>F!HqToEc!Zm7aOU
zzQ-^wcJIKqm^-=6phuJBhTBsS^M=Mo12+grgG&cOvxh1wb9UV1Li2~PSw25$1u7Yi
z7Z2DdLQlB}CE)@0jqf0Nhw&?h<#w~J5ZD>;&mu2KOQtxPw!gE|R(q3|*OWm2Ntbjn
zc*fxz%GRqAVrFIrBAt_S39x*4IX)fi$&*i5_emH811WdgX!o^kyalY?rfvR-rX~$F
z^%2|~9zH%*7?Yu@N;6a^xNG}R8$=<X+sI{*5qmzH9XLUmGG%A*8ug{5v^4VxXO}0J
z3=h{!xF=CrM{&8iwyq3zX6G=Y8&;!NuW0g>xNmf@xd`j7a=lb?+C$U!j%;Vkel0kZ
z(BH_mn@W<PQs@xkj@_&Gt}XMjMRv8&+~(x1DPs1Z&?_D<2pGS1oF=+#YkgZD#pqtd
zeE68J+R8GHNQj~b2ncH;@e_8n-lp>bN||pU73}MJWeu`AULm!2d7C!m_mT|i1L;BB
z>??v}OVK`Q<(*Lqik`X!`*dO#=2)cnF_<_VMaO|*6yV2v;;KDZ1?i0xvr)wSurL%P
zbq<S<KvRns-`~z}bpq}YB)(vEz_~nl(D>smGKW-6Pp_l)8PyovN*?5C7?%byqlUL$
zhRAFyNrOJ9y{ikT%SEod>W!1*i4$Y;{k=V~z^;L+--w3TcL7~<0D3PXLc$?N7!+l+
zj{(+b_&LGqurO$_ARmy%j^Gys!_MI8k=yD_RHWk-A9PW(Bpy`ho|l*gh3t&jyX;rS
z&4j8bhZ?pqTs%$9o;Tgp5}zXI_k4c!9btk_`b;XT-^^MLN6*~m_^}kmGPD0Nj{7SF
z!bv^}h*@)0Je*OJdr>k1#ZzPelp+}P+m6;X2nW0>_~N4bHwX@7kqy2+syIvnCXf1t
z6CkM|0^%1#c4nr+!-vlt?e_Op9hl)#Z*8VtQ{)z~hY#L<crbASrtw>}A#go_m?l4e
z-pbs34-j{2o>JSVZf>H{=$s3MpniefBwP9E(|!nVsXN?IoH|m3Vn4C<sO*zH6{X6j
zVZ~2FWBO>tTczkG049{{Zfxn^W&R3{L>7)xY<G&{U}G$Xv&tYeSkBxuVm>T0*5q*1
z`APpZRh;7S7ae8Hx`Ve={jGQJ*ywaiP9a{3Fy8KIX<DRf=mIA$SaLzw4mrRVR0V*L
z0`DvT%{l>07zXXqVmwsq=??J=ZEX-*%K$8M4+Q)|NIoRQiXUzDW#5-?R<#^^QKC~=
zlc)>30YyRT;;$VgY43y4iQ}zwB$TVmki}P0QUXb^;Pit5EE!o@?n~d((QeB;uaPPq
z9^zd^Kz+bg2g6+Ym$%{jAkY>s3iu7<bE3u`Ur6hITa_PQnsd=M?(x#(`x4r~(9Br+
z;UBg8Qi2}?j9m2PON*0I_N9s!M|tw8`V1Fo+*_>7)Lluq9jdJFb|rlOds8Fs(=Z<c
zwE&ks=o)>LI}IqpEy^T>Ki0k&r${uN77e2;WT;KK5j{~6h29BcK=?>isyk1GR8dWY
zS}I^SH$guf%Wu*O(`oi#41>ecbI*_|u>3+|MP~ofr%#vqn!vlr4=gq8)u5sJmYVvI
z?g3~lIuj)z)HW09*hL4?8vT>*2jmhk^bMqp$CGc#12VuNnr#B}@hF~ZYSM+s7NPo=
zmY2y+6Aj8*b%AQiZ8lOfU}4Ss<bd%Qdu9jp*uWH8Jbv5<Vndi2)PJ&<baH!T?DAAr
z3q$~ULzpKV8c-aA{&mAF$&(H1NBM=2eC4Ov(tW}@U5Q?&hL45S)1&!u;m*tj+HFym
zMD!T7-2!onlPC78+HI<Bz@j#fTz%<L`Hs7)DQ-V<iQph4o>0aGff%HfZ6v(e?Ip&{
zO#6_WOY}-sqRZd+Fqa~~v~(v#7@gnmuN*FX<vb)*a8d!fo4vEz%nf=3a&iM0s0D>C
z6c|fOOJIU8Vux4$Gu}5hH!mzC9WT#2Il#TYvz+|xo3E#FDS7<=N}X@FZ+JX-K!oDe
zcLL5!dJB?{H}f>tu0NS1sApqk>(Vp`P}z-d9(i*1^1Sp@(iKy~+(V9U7tBk9O9K)z
z-j<Rd77^`QuBG{U2R`4cE+Hn>yZvlLj)Je>=G9?9pk4l9XNepIC<b30U%D0fNT}y@
z70>jd=K2;F`}r2oinMli!eE3$sK`NYWIK#cN&YX=TRXRN^#6+UMhXcH6t6>F7Qg|@
zr)CTLC<!3TM?9&khzy*pM$&o@SeWaHe55JadgD%$7peV_V09n*AYp6Y7%{NP=T(_U
zufwIXm^ycjMiqAw(ysV7`>->>v#LU3M!7}b(HRwP%MKuwwz!PFO82_umTjVtPA_ko
z<`b2=Gl^G$INM#H20wZqr1I!Uf;w+*U|;}3k2f~#+IYNzWsPC2LTv(JK0u<e4t|h?
z?gF;|5*-Pc47Pe7{&wA%f$j_(XK)zX6)ljRZiJ)a{R_}x^}3ll9z;b&!6uI%PFZ{e
zt=*7t_Awvd*PhQXhf%t2zd!HN_%njX3k3C|tgUONR>X#{e`rb3KN=}2)kqdb-RKew
z*zkSCcXLueD&>wC6Cu(ziau77x%#jZJI3R^@#bh5mm=>nVcii!Q_lPKE!SN_giq>)
zOU3@^pyb3-ItP~^bm-T+D6;tLVq&P&N7hhcZF~n7o}vdzw``m4EQoDt|9oE>bZ1dQ
zB;tI0wqW3g>J2jsK^O+rF6#na;t!-jAv?QcZU!t`O3w?xXXZQNniT#zIywS@%gM`o
zfrLam-|%&DBA#&r@$iQL$c43E=w{ma0<<)giT`g}nhg@LfT|<({*B+xAa)y~%4y1Y
zs(%>51PZ=mXh8}kR*pBK>&_yL@lPqD_dRFB=BX>`COR_nlyMz=Y6~2RoyCWp1v(it
z4cuJ-@@sf7GDVRWY<X=+tt{NvNHmciUuQCQn-9b`tTDpfzbf;1OJk%UbO4jAcbfmR
z<o2x)oqMG2kFtaOcOpQ|39}W~MoQW+>kupjXF636Fp5?+LJ-LfNk*_n?z(MpjJ~RY
zktnmz_Fa2+VT}OCSR@C)MFsfZ7oe^BM@&2C>fotqOqv@A5%IL6PH{6v3x?>y!}(BA
z5d{g<Dk>__#DPBy9(zJULWl&oO0ga!Vc>_uOivfVeh4KQcml-t7rw&L2!eNzY@c?2
z2+OdY*BW@;GLVAQ)}lMjkF*sP+n{G0PB;tlefR_SBPS<E8WIS~pt6H}tg{#eTFCg%
zZy*7XI{j={5<C*kPVQL;xzWMe&5GfXCM9DQZtN)$G!}J~eL4N_x1_iF4e4<;+H^J#
zJ^FC5>`7erb8+-kiv$Q=E?+5rbM@05M{gwgzVZ`Yt$Z|i$}NM-(Q&)mD;%<Mo!9h>
z;tGbB96(Vm-aiMiW4Dce<HdSVoO0Kfm6SkK*=Y7vTr;$5$}nKXMi(Z3fy7)}J4Qdx
ztOkhc^K_=3W&;o`4*A;DTpI8>Ak7Q3(VdVtvkMM@j;K7U(M>orAy=pznp>!vBR_pw
zaHs?^7Q|{bF}QQHu&{7&G!KOF{e*AB9}}SPhD8R~6Rw;v%;5r&00a=n3YdjbMr?Lu
z1j{<t`Ssd|(2EJNvd(@_Pqf><SFaAu3=o6(n3(N*@zPdqG>?3vKa@q1VoL|Q>^EE*
z&geP6q!Xb*6Y)K#5St=M^optR+YNdZFuu2!b~TaMrLC-mzcEfZkx_!<=W}Fr(&rr(
zr&rQUSJA6)HXG(?T^duFhv6!ODbJlJA?bPX%{GQ4F#`^#(o!LDaXePkZ*1P>AUY0-
z3dr3_A{6-Lt$?9IT$=@4xD*@BHT>9gkk(~`>E!jbYhiJ!pOb`aiE&4uczT#?6STmr
z>Q57i9xl@O%0E1s9XgI%eT*~9GM?lI2HLj7{urVP96EP%hDD`Uu}(Ch%^w`<03JlR
z2;nDQu)EW0a$x0E*3#5<{|wC}?CX0n#bzkUD@GaS%&FpTSZnXXa+yA(9X9Ml-gCLS
z)xuwxb*83Nw`z5@?6woTL4ZzC_iDO4`UqV!<An!<`CdO=Ah@R;`pr3UP;`aYvnpOA
zjJkZSQegPpsQ2v)u0JzwAB78vyuk~V{FBy<orhhSqA6AMGpM~@{ahMd36J%d3OGN{
zcnRK17ed<+W3lxwZU`|J+OW>>4yq(Mi8scnq({p@BcN0l&Q7W|UfoeBoYk@0SUqk%
z6}XU+BNPq|9vy4zQ?Kaick$KR-tbNzXwtfgeBQ(hxa!j~Jq`k>2RgI>7=8rhcq{TV
zq4&MGGy9bZ+$^n0L$gO$4wW6FI&n-tSYISQT^1oMdp<pJt_Pzxx7N4Rq-y07b)@0~
zG3G#nzJnQEtDQEzQJ!w47^|bRrfqGcH}gkzf;+6=E3ZY(w_=L1)#IhBzGWycoGwU;
zSjuXR<3!=5W%&7W3a{oj#HJ_r^;h$0D=wNovx@VG>#BJ9S`ans+-6jzyQpUvsc&dp
z=(Ka{w`mhjIse=&{>S3*KUU%6tG+vZ97d(`wONmfr~OP+n{rs{PwZnP+mOHRH8a?8
zhiob(LV>scXytO^SB}i_>NXC%SF0R!K`^GK!r6#wD(i>nBf})|mZ4qNq>DvYcRO!O
zj9=e7wP8ii_w0-dN=cwvk*$mLL`&i9;W=xMfPYZ99DdLoA3xALQB(A0F+ncjk->x9
zV>2+Lgi+(kx!K=ce)dzykK-FvV%Se~TuR!?YybJVOz?BDhEaV*+P~=}ID92uIMQLi
zW||HMVM8(UO~i(Ygm>QEd1)Pt%(P(eLiecrJU*LZu?T97gBwGl@ok%>8EuRg&|b`!
zA@v#IQw34DK0A%v)A0VmlvfkqVajByoOs;Y948~oaidEm=SgO9Ns`oWvyp8A7|0t0
zsm}z;sq_mKI>+SjvU~4tSz*NK2ndx%h@XWd$YQFr#iJQNo!qUZQ=y+GDv;;+8Uz^1
zlHxfu26L%QWaK$1So=*iBEJ0Eu_AH*qLli`B8Q;htKG2&!KEp9ld*I7H&GRzb^bjb
zh=rZuTkgc%snXJC&JBbZ%GR~OT=w*CdEc$;gKFwtz@cNgC3C^9=X0LB?_*B<qVEH)
zb;_(Uo*Awuj84y2MEf+?&#NxBmSWyTnbZ^ZiAhPq_Z|R-i>QuP48$I4cal^EjE;El
z@-$^^CDVVz?&(a0$fSC<^`9F5Fx&JyK@LC0@Em@QbeI_zWm~y<{Lq88el&&YHYk~I
z<w<AGXm|P?shM{j#RQ-|orEbmy!l+A7)-N1C-?m2)C6nt;A-4zxcd9dtZ5Y}e1Y@7
zxrLY<-tGH1{(ejDX~#MG5kJr0eMeD6%Q=!mHu+$IF<l(zg<rsgF5-zs&<Y`n^9=ql
zL5vY_LUPN>4b^YaYImr^%dcfOZKOLSmMjndaYJbe`sUrdt|+11Y;l-2>+F>hh}{@y
zBsR5L{i4z~105FZRm}fZj#O_aY#O@mS^33QY~nv!+u$C{JZ4=U+mQH+BuYbyX?o39
zY>!*`JHK-iYuajfJ&YqXAco(3g#n&^1c!XZo!>cW&P)+A3AaA#=SJ>X>m}#MqD@3n
z#?z%87n&(aFz#iQU~@+xc;B59N4Rj}hX10P5jUy>(@(9$Q!n1dU~U$?s2dk(^m?=^
zjy;@o(o7WQY6!ZLiqJ)0))I-vb^lxGE-=dlfk?eeIi<xZ5R^BwwO}LL6M}PjlaZ68
z0}cB>##TBi_f(pt+_~LmJg21(SwIN!aNm{|6_vYDET6;?gZ@tbs4<n_=lP5eFPE=Z
znN#S?nm(RrJfm0UA-(e!2t*$md`?H$%=`Ce?|1U5rw5R>5cXAR?T35)+0LevK-nGY
zoR-vsH%B9ah6oVNT?vB>5o%q+qo~dS4f~YxrAzM>4r<H%hpbtiFIA04&iIkz=h#(W
zg}a65{OS<%q<PNXsD*N{1Dl7ibqdT*6qIXSJE#0j^Mb-Md}BR~xOn<o^!tBl0T9jY
zC3McD6O!W;xjG%8mi3;t!hvy4tjPnOfPN<axLey9|AFC_1m2{IpSOhNb!8fUSQ68^
zy>_85+1kXViM=aMf|aK+NK__jv`9qi2|FCj@NvY+#=Kc&;8icoUc%HVmyaL^(IkJ}
ze3PjTR9jv*J=LzRkIC{f2`SPMMWd<5vsHFr0ORB}f3YV8MJpB>S*!g6bl$doC!-59
z1o%=5M$@G}Qce^fwjkQU11#3t*!|_aBB7WVAxk>&w*$KFIps$q8+z^PrAsjQ<nVCU
zqTa2>3w#UEqC;1wlOqI*I+z#(waV9NfG|O+2(x{m$%iyXMtb^$#6&MhywG;LEVFpL
zmkd>H?o4>>H#?bKrzn6_j(C&L@+BYI{8kPe>P1`jk$Z?86vH|vZ=|m*{5JdhowaNu
zAH!Pw3{_ccStBAcqNxag7l;yKXJZTWe5Rsu;ebt8*clv<kjWQi4esGP&a1kw=|OX>
z{P|XLMn*sY1S5bV8yFW22*LxwC1`0udaP#Gm5m>;Om_MK%wUBo6Dm^(dV;dF0?-er
zMep_&X(`~k$f@CoxSjs%O5a9Ro8tN^Bl?q8mCB_8%L*<x2WOYMv1c%#uUpNC`><qc
z-+d0^wY=Ib#f~f=^d}3Mg}zI*Nu;dg0kt8B2>~L6!8=f$?L+okwh-xs3k(2$fLI;;
zDitu9=veac<HwMBnv#+d${?Ymr{@WxYP>Oql@;a`Lbxd?gdf^<{oimtW+b0hlNj-P
z4gU)FhvFhex$Ek1#q9&H?cFbDuAVhIDAoVV76CrqFSER!oA07dCv*&N<ZL^5DYRh;
z9h=qI`=?;A5ZETXp`U|nu#;8iI;!IaaHm|vkAXZo0&si05`>n}zv>9ZLCFgM#1IZ#
zfYXcl85s-zvRy&QoO^=-Y=a=;gdz0_DrL}e%qP05NOeg=SNT8a8jDB;8EKe~10(r%
zVIDlpg2YRP6ONKbf-@3X)hc1aKs}L<<>%kj>@%Wm;bMVU@%U=T_z1C&PM2DQrxYb&
zykB`-mUa#qtJA8Zt@W3+L`x>Kaf%6Wxe6t?Lk^_u*Y2<XCyL}^5h(%G<>1m|PJv*w
zhs(o;w=m;X(E*8`JK9m`t0A&bQD0*oDKLIF^9)5zN7oib-o5AmtzckiC^SE?D5G&4
zz4*p$CCR?9axm&4@#QJvL`J6-Lr@omUQpyzcmJa(>6_89lJ5cImc?H5^=;!&e#O~0
z1<^-iS9a*wsiy#Vh7QylRs?V-FlJM^SrKT#p6>38SFgrE%-Zxc6<9ztG)iG5(-?TD
zZ`^`89m>)YZd>^toNR3V0l?HLzWwn<BkR|W2PmauV`-Ve+45=lG29}i6cGBtih>{v
z<%WD$m=?YY!q%*u99U?UK*^%w9@~cI6XTaW!5|vl{>qgCE%A_}uI*_7s4n&NvoA0@
zjBhAn+9K&->*AQ{{9ZcXE=8y5`L{ZshJgV;{ez+h09~V7T4S-cWN}D*$|1nIF#Y#i
zS{h{!pzQQlWwo@fP((&Yqa+<6d54+*%6YikAG_^ey}C_dE=cRdRR09>jg?26x!_vd
zzOA0#H(u>pl$p5%9_GlSi<Gd}`c$cLd}c}w+73`>nQDt+ahR&LIV@Ucy#|<{!&E?U
z1I5(~7vQ=4G@!+qQg9sm*f}x|>Fote7P<>SDOQAzSF6^bp?@EsoH$=w;jl>Qu1i~b
z-s>NVowzs+oe&s}pHFCNYAP=5LCY(BiGg8t+Bi`k7-sE<20C4bz;)HaP5~aZBBT?T
z8h0MZLx?+~b52A3)H>R;++(9!&}Q2e6nwK+WcvRkh>hw%a400-;g`PST4I7LVfLZq
z^X3mQw6Q=A7z#0?pJ(l|&n5v`hc}vn@><ey>5_YXW+o>qtKZYf_Zi8__ocerY7&8$
zT<*uu@okaVR8&<pOQ?dNdPIK9UW@b&%ej{MW^AJTh7jhktX%PKasSorLxVKES0&E)
z;%rRUXK%|I{aYfThVBrW{e9dT5XS2e&W9BQ8X3qdricx(#^dJIkZ5s#Sc3S`Y}M5s
z&`$!6ceK9^`;#aH=Yh4VgBAjL<riS(Q>xn+Z69pY(t-T*)-AQA4C}zKu;?1qCf6Be
zC*W5A&8`7b2Ij<pvU&vkFVoYFb#G1}pW<Zg<aiB44LMm^FmE&{EX@1wdv>_8t1iYq
zI||9glkFGZJYT(k<I{x9is5`>yOcZJUEi+3jp8N?@T~IwdG#qw6;X2MoW<B)S?2{T
z5HX+`f1IY|3X!Hsu5&TqLeaK%f}x)vt}oF^2oE>f-v#G4%&#^;p{n2)D=ro^H(uz^
z8U)9kCJbJ;osa~%z~C~Y+d?wLs@B3xc9^tFK;gJD@>Hq}B5I|d=;>JlF|3))o&trm
z(<suCC2w-laQMI>UQS~YKRyn;jt~qy*_*0}2@D$F;j7&>x_|$*ejbDfW#{DJgT5gH
z0c0NYhW|b#eUa~$e?O-BLvhQd(dedkCVfSio@_%F4o>dpwfFycMt#}3bS>{3<I0=(
z?VnVt;=7Z0_}sR7-9JajDje{mfPetCn6qSLCMC{iq6<m?PYCOan<uZ)F!4wF&)Ar*
zjz#T-`!Fc_fDO3bkI&pMhMmXi<lrya$<f3~4a_UDk@V*QIsm-RPL`I-fIGi~T-Is`
zK!(;GL<2CAxU;j<l#Wu~@;qYoe9RbKGxaytt?Aw5953nh3Sz`dGta1f;-5n|a}Hj-
zs24>>av4SagHYL0K$&h=mJkQk!T=yT?;*BY<>TccW^33oL=#lduL~X?z$C$_oee+`
z!6`+l?&VcG{1{RuuBX8Cwqe`{dlZ9+pBFx~u_@GKB1zISwr(BtCO|~Oz^M85m_}3G
zQ>RbE!1z3{5y3i!odui&9|o>`sVUTDMdjAy`IR|%rQYVdAqEn`mNUfs!*5ozemwHh
zbCDk6tUFAy$Vw{v*D~$nr^<E=KoOpox+wMFcna6CrW0$UbF$Xdl*BMJL$hPRdk|&}
zQ_8_0cLI^QFxSgs4+9Dn6bjYY*a&<HoSGepcW6VvcfrZSGY$@V4UH(>2m9DYa#;QS
z7Te%{`L+#PH#o!NBO;36goQZt)f1DqKk7BclfV+B`_<8#LHjjLZb`|u!O1=i#Sy@W
z!bfD#yswqj9q~|r1_*x}0v|ardp@#G>*t#dJ=;oANL)k5d-D6S`9DlMftXx_)oYe!
zo1L-n>|*l!%qilfj7v1^*%*vfq(TW8wcFCcHY+U+>_L&znlzMsS|xVi_p!Eq6xGw!
z)`o}kAYtBp4{{M8!1E9Ykc&OA+F``g^<-63NFSpONz2cFiLQ3FQs0Mk1Z~Jr`5#6e
zyDl)QfI<nf2{L9F;<FRZ?85jcC%z^ka&g0*KLB98&j7%2g^Q!~_C5F6-IX5=RZlN?
zpOU&~$0+r;Oe&%LS?2s_Pia;Uqjjb;2(?ge;r_`LFP6N_GufNVdv9#pbtjIwJgDk4
z*gcXj(68=4#9OQtRa9)Ot?#(QRH(^~**0lGn9+yIQ&v@l2&?}Nbh>{7mT$9b=&uvN
ziDN8blKUBpZF#yC{7|34h%=bm;Q-h!8`~U^4Z^e`cyk40UJVyWZ;ycr0wMyC$U4Y4
zl9rZ+nBVI_Dt`@=gfQ$ONa&E3_MJ(DI5ZTDZr9K-J!w~1GH`;Gt6vUyJ3daq*xBLp
z->7@se0*y|1z(4LBhbHpn6GrkQ-&=NrtRWF1V;aKh%i1;XH*~1`oqJp%LRMGsS&NG
zTSd8H%NhV&uZ&lfrKbMcx?d`)2Mn5Oi3p(0AO^uFc9y>~24a>1_Kg1vEK;a_Lo3CN
zE#?0okK~C4Jn~<0oCo)=vQm^8#$^{)zg5rb-{0RaEiD}w98`Q^m04asw4}!j{1fyp
z3Uz*yr{F)~4;rgMn@9fFwNxVEH3(CG7Mfv%rsu*ym^3B(V%YO4?`TvGG}U#vQH8cV
zxbLQnUVY>u?l=>J+AW9n1F2YTFKJ@07Zu0ErDqh!3=W~T6e(oncVYh8BQFgfaaY(t
z9aCo0MtM8H4m)`trHT*lu+BBLfYoeuPNEJrikRcuoScD2H5ZM*ObUyUVo2*rS377g
z;6~rH?ZV&K!sqXY-vR>}k>x#HvWb`&8&iVlhXHS;5ZSMT%W<)>Hw1<HySuSalW5~*
zHGc*MOq~`<#WkzExjb#jrfdzXB{P7Goj)&IC{TmEH1y~XU7!K~bDVPYMOU%negAVO
zPYx(4dKN$97^_7`ZOS@(dV7s_TrZ1#b~?$6>c!GbSWe|=(jE-9_)(m#w=darpS(j$
zHhfIx&+24Daz;IbpuUeJZ2yaI^3#$ugToL%tG(4`YJ#XuQn}|J8W_*3C!mB%5A2Fg
zQ@TOBh;W{(rQQW#9&$WlB{$%K4bWq_#laB}0PG@sq~RwSzkka*xki>yj1J)+L9le%
z?Cs)pQaKu<-ygH98=n^bHn>bjM+aLONP39JkA!691tw4r8W=7XG{1|WC(&cdJc>ax
z9+%FsCY}aj*9xut;zdTzqR90i5~0ggN9ker<=xEMk87xpzYDqhdfo!y5q>(fKnofI
z=D&`Uj7AcVh<}_YINcEx%x4XSN^AI+Czb)mlmNmHQUmDlav2oef3IpbcxNLh%hwFz
zplJ&XJl7{Tbdr_=CCb|Xc)mbo*nXKEwo<l(G*}#zv~e5T+himK`g`i%pV(~2G2SJ#
zW$o+id|S_W#yeWC!NGNJYW`qooZ~o2(qAqZ`HQC@sJ&=I?45hntmpEul*1Ua{o!)2
zwqDSx{K7d@9_3JC`k7mA>vr}3C2&Rh_mN(YIXJxw>r4#&5Og7ihK3-4fa#_1(X{%~
zJCl&A(t4E+QyP&p{a3z7P*6L@mp&>x6~MaE&LSJK_%4EUUgZN#xJ2cKtDl?Dk^U3f
zXpf)YMwDJR;UOF6fzGwpxb1Dvh2(bu3lJK9TaW!KZ2$NUOVDmc-aLe0gp8!>S=Hw0
zk?v5ElSvURFU`<;t<H(|r6Njwyu6yB$&(9f7X!mOA*vW3<pHj;tu2Sr&xbHER1@Yg
zT)A==WV|i#PG`z^(uw42pWMJc?wB}f32<)L_@?=$*r<Fs>&A@zKX_04qul9TxOdRV
zg?e^f4zabgbl+%UA7**=>J?}?&JEs$tq=4W-XJCfA)Nyp&QL&WK79(6pt)cy5WjGe
z$L?@v-UdZ!45jl+7Y)4B98n!3r;-eBmUVEotdJhp43v2L2wv1^TeCf2>$OP-rcibD
z9<b;`w^<Ep6pg`RxS$BcC8I2H-a-0n*^I|qtMST%-=GV88cu}F#Utk~*TS;vA^8U!
z)%X4=f=0CnDjHT=7~h8(GfN<@7_f5g+7M&w#e-{?;alPV5VjXblisWoqiS0*>T}nZ
z7s_0KH`4#b!UbrMKERAG>L}D#mBPkeXfAG44IR_-JtloWoE!M}Kadv;=K@SqJT%XA
z-o|o};^X*r9!{&TcR^_0eQbCRW{{Or%nG^B`;u4k3LT2EpRcmubC&jmpP>30`Uix5
zlljM|J46-pMtG=k^4e!9_{UW#D|NjMaG_E4z$3T}PmSZ!w?`tjHwjQ+-@PzXP6ho~
zJqxr(;HrF?lr#POn>6QT%F>U&0dyRJd@Bf0CB49_Fc_*GHKBeB54x(9{~LG?Kck)q
z|2jlDAIiDTI0g^N^ZDX`lS%QEH^PtbUw_8KYcLx1a`SB9Yyi}y2=srZ-_n!dyAAkS
zpBO(4car9k!mqS(W*2xnpHmQ0jX<1C6~E~4zCP7hUjknt)?Rx~5+KA?SCu01qC0R+
zhUI$bqc50X@RUh46&`RyAYa+FmzJa@3_Y7%f-ild@nA2)r<wV5Qn1VXkF27|g<*@g
z@PzcqwI6dNtHSrZ@K$>bzheHX(i%Danlz?nwKrU3Lmc5#bTy7_n^@Ud(xS4aM=j3G
zD(BV4I-}>7Iv)7?4%y{aB?Rs}Fm$EV%>|}fYR9!J#c75>v<e=lX&~hbz9zyC8G0~~
zWpBOT2PBREd)aoAJ6j4ccB$XK!H9*9i3y~rsHlX*5mXw5Tigof=8G^Z0Z6+)pz{ln
zrJ|)3_1MJ@>bvJuR_grzI`jrGR)o(oQNA_>x{%FwVCW_u)#M7cCJTAG9P2e^Xq9!+
z^_3H;yl}%B5QHTg6^1ULmtmv^M5}P@_<{cy69)-Gvu)7_`};bj!%$a)W{}uP3!XX%
zx`267czZ!ma4`4Ho7#|s2T>!C&VCzmqFN-1b^y5mod#eZ_`;NntF5JF7*ISAUx8nE
zQobt%0u#xv+^T;eScrro2#&f$(3C^C9E3!9>FcB6xS$pleEaV+D9cG{-rca1TQx1)
z)+q>s<rqA2p4zeU#3tJVM+4|sFi(dwZa{xeudRkJL4+Zy(p6!h6ev%~NPq}N5GkXf
z8Gv1`U<5`eyTIN7L0j-q@Dm004j?Xx2TpEiL17v>FtG43!E_I>2n;+DG4BP8fvrUX
z$kRJKJROF&Kwu8L2RX={J!NEm0oJ$e<_QoVq!G*{{sPzmnnkDy#Gso6iTReBC&+}M
zS_e$T140Y{3ynMaTnJ)k1j2Tnt!Gf#A0DOBE2Feac^y{P)h~+fw<YZNZVj*{^!a~^
zkI(M6zz+c0#XeK#8_R!2L;<5|KX%kZ?e(?a6k3kE(DemUb3sgcFC;r9UVuJ2^qPp2
zG^h^e75>5;5>OYfLdK#>y0P4+ZUG7?>0rNPy>TNOM#0>=^&tRqNnm!#MH(8-$B&Eb
zW))f_g8Jc|091qK2~aqQH!J!GGNYBDg0}(CX9ESS?i%*u-*f5{Hlw@Za-GKgT{Vkb
zJ88>rYA{B4g*;tbhcV+rI-_c}%_7rGDIhf~TKo&)Lx1NSM?rs7X4b{P91FWG-0SzC
zTzCM0aA@$iFJFA{zYUv8{EK}THMMRSQWWq4V*h*Hgsz;26PGmwltvn<`&}xPv>~RQ
z@gmYc8;XJ<TyA)SKs3Q-AX^)zLs^u#!DcLd>GI{v^z_zy;Q%E<G?ZTefPb^}!B_w7
zp%zk)vT!$0YkLm~5Yhrd!sBSex~o@Ft4CQf2H$pFyrN=au3o;3hin0;AoXa0=nN1S
z0N5K59uE07bW~Kvx2}NJ=x_6XKr#(3G^pyNw`QXaXwRP}kpTJO_p~(s0Ei+p+4%z#
zZUQoji??76P`b_GF<CfjAUf?kWI90jdrnSBokUgn#cS8N59F0#jwZqf_lP&IwZG^?
z)n9rfuN}nv=<(oc1xp7=USu#cKUhgu2zy8MKcQmGx0s5CF{+Y#-;$D&{)x{yhZAM^
z)c*H)m_U}f<^KT<n>F`<2LzCfNQGayH#yGy8%Qo$Kp_mR>_BwyJEwe!2G|0h=5&}e
z(3RbZ<`kw>1SfzQE(RofXq)M^+JoHu{0{*`Gp?&~pmix|N`2NgIr!(#%<OE8B)Yr%
zB^1y*HN_zVa4{Z81Nb2+Ik$M{?p>`M4aL<M0|*WPgm|LL*>*=x=m9ztI=$fF^UR=r
zT%4$@!?4`OGrI`=)}ruCvyjV(FZBF@F~>Za1&zfzD=@T4K^m|cc#mn@_W!T0vMCS?
zv$5fiv>+t$;pg+5$;!+GW<iTM5id=@v6Vfz{9gWRkCvwpO!>9zI_&N1)1E(s0uZt>
zbp9nJRhf3s4!?W$?-96nQJcBgKCPV8*0zL|_c8*ZMOpHrDy%Zgj-|i?mLzB~A(_`@
zKEc@~_7$$u9+V?TAIItVT+fe|*+O!XnXBs_#5AxlGXs7II$%dgg-cKJioJ7|gyds4
zh+kM!=H^VZx`c#;@cBdf`XC2!8Z9m@O-oIsm-M*H&(9CJXgP{`9LQ9-D2U0#U9%!#
zkbn&iIxqccarl9PGg-%rp7LSpWi1^Xshif~`e(+TE(ig$gv2b68P0(usSir=td0u|
z;#%6;-yz8B(IX|sB#<Ejo&=#0fYn7rMX_0*hkaZWt{NOwV9WvU3%HFyX1E2;2Dsb@
zZ^<REr{wCT>JA!yFR!c|c_A2kl&))F&}DO=$t*Ie7aE!hQ|QX%q@_W|BF@XJvU3}3
zwf_o$GhCyTt4Z@s0*OF84U?ZiO!hpf{Sljw6w+KP9qk>gD-&H1R=E-$gIDzZIKwCo
z=L8)9RWQd}+q#jhh3>q6K)_iP*^M(U|0M(j_lXjtF7VY9GP1Hd<31g^P}+qB#KP?L
z|HS7c!6c?<6L;Cg<1Eb0!3Y4pr!$IcAUAdBe0AFoU-w)Ux6!X`BD;dPXFk&G$BA5y
zTscwOv#2up*h=j8C{h8&YA8#CuyWQ$Oc*xH9N;tljih4c$(I>{=G##;p_<4zVh3Os
z?v+`1=ksJ_toYpMqI5VV?@Pm`G5+6pdk>(hwk~V*U=|T22qGv5ilPJsBnQ17#RO)_
zQOQ}5oJ<HJAO?_(2%;icauxvvNg^4^5+nx?8Q$1<Z}<0ifBpBXdR6b#ty>~^*k|vx
z=9+WNF~-dD%qT3h#2g5ix2ZYgW5Q6VjR6s*NL3u>ktb!=leU)2?cDZ#^7wP}Hx*0=
z+6&^#zaQfY6?>zJ>E8s|4vE`;hlCFD5=RsWqQX18gGEfASe{~cnL(|CzFL^5dDw?t
z-;IuJTE;aC?eK2xhR!Q4OZL{UE6VN%9v5ms7*hsdA|$+RBbam~Qb<vpUeu;@qlEfZ
zt3+U|@UhIYK}Kfd1x+o=vjkUmQ&Gj&w%n4Ej__7P7a+~);oeEOwZlkMRpt*NZoJtz
z0bIFRn7E|0rc}g(SP#(l99mD{`a<GBv?i7prxo8T9V5tbI}d5O&4l;vL&f~R`nRmW
zKK6rg=@K?WGqCO2U}*jyHa6LNU}J+62roAanWfx24yML+nuoqSH#c87^S!H^d4O5!
z%#Y4|H9@PkuW<5s^7N_gaI-GO?%1(H<UF1R*uZHT!5Gs6_bf~kVUu<c=Hc-qEITnN
zzDZ&XfDX=hJztDNyy=+3Py;9$k~AFkY8VQ2Ew<?n1t0Fe0XiX|oB_~*KQU^{SC}mM
z^5t$04lQUv^rk1he$C>%#L#<`x@nc3fk6FSp|2uCCLjub+46M&@byFm_ka2weh8n-
zg8SmrzKi!@d{(9?`5FJ!y-MWA-UcXyMfG}1^3Oqd6F;EcX*75r@>Dcy#NjQ3hKaHp
zYNBlC`7~vr5kDjeK{7ICtr;*}1Z5AnS*}Kv1Dr{=i<rFl2_)(q8S4{;7-UnQtEw;+
z(+F3KQT5}+Ud*cen)}l9FJ_1@pod_3!TjV*D#`H5Yg;<E9GsTHPo7MCzkEK^furLM
z3N&DzI8L+hl?keE^hJoHy0`Da!LZ?nKh&Ci()}15r?b=7&fvgLYX5?K04q55!D@v%
zV9KhhtZ0{@O!<}cK_5pxdWZngZ`Z*wL27J%KT0j0gg8FOzVk@>t7)~i0iqa_P}{iU
zAmLx^ww|DBth~lZL=DlQ{`K9+N^Rv9LojYg0(Uadxg>=Vq$pC(&P%ANNOo&hQU<0C
zM8(iigF#W?It}B0f2tcd#YEN`KZ2c7P(hsCD=$0D#YO3`yyjX1@nleIW3Vkq5^Or+
z_~OHsKLyO~4@A5+E3c|sZO{icw~DH&x-_-Lvl@dvoH@?{0{p(0Umi9T-s#FPPfyVR
z<1b0sgI)O_F2Ly31J4(VR*Aaj&$K<7_Zt0m`-9bxl$C1(>8RKmyR|IdxYH#N+$nBZ
z({nrhTX0={eU`%pj+(oQ`d-eS1DX^(^D+sxu{~I4@w--KtXry3RFRk8-1*l=w>=xi
zs4u;}vcsEOOsuhPHI>{EQR1~8dPw5I0e3^h@PLfR+1XiLn$6<C-NNd|#_f!ZJt5Q!
zp8VzvH4q4eSnv{OK6(M?$Z&|O+LF&>4`XE}C;(p`U(e3os{bwmlRdZ6DG0i)`B$~e
zTCs-}FN;+N?l%gIlcQ=3#vF6fwXGz9a))m1$YdQIAAKZgU}&h_{-(~z`($@>q1#ia
zUvo7QY78uDu3a25XIdqNcQnS+=-^Mhhi6F|TY0_~dkI5Q(pF4K!SnLws3KMc-^$bA
zzq|72KdwB(4CW{T+)AWg`MD!@cO(ct6yX6u99C3>!5(Sr$|5P)xx15ila;)Zq<>tD
zc-k9R7D+4PO&NUgcZqx8(@lKw_)m4~ynA>xDT9Zrj%jhMNS437+4=397prMSoPx{}
zu-$jK^#|%uI>w1;RbfKYw`*Gn`%>elfq{mx^8ZHoi%~&g7YBaNp+AI~ir8cj#DMdO
z5nKxpfcQ+GBV)6kMfQX`0M^Xb*47RVbBJ%c1Io{^+o6TB2cnDU02+ZxTpEZF1d$jW
z^BYnR`ED-l!Ic-B|BIt)(-(zzsk5=$2z;fc`dZrfP<}g~NzTP`>3-&+b}mzk@cUff
zJE{JEEh2UPH%;!!GuuVBB$0geGG56_E_O?XKM#~{yVPK9I;^;D-s{1z6Q|vUd$lFq
zuzqfC4hjtXa@jEb06_Pss83KkH8f0vh9B-U@dX40zF-VPChVV)gs_R2DCz3%bv*<J
z;y>kMSw)5J%PdsIu%HF?`&-m$v@xcprvvII(Uh$H_6_|bct%0o!Loh3lB#O3pWir?
z-e60kOofE+gi00tBiI8k%#0HQWDvu_jYr0U*^9vlw6MclK#j3W{ALfVxO=1{dCt8g
z795spLR{wW;AhKdtAv!WrfSN!8L9*-s{DVG!XEVeKc%o2{|mk1e^A5ng0!<K40GO4
z=3v|yo!`k<Krdl|rG+HX(*XZVX0KuV=U8@*9?W~U)V0nvxVOxadD-dvKLsQ8B#bK`
zoqScG2n7HCszKeFa>nI<E*CFZ`Wg!d0a(~tgM(+!mX>#ojY?@wZVEBMaKN>;{(y`~
z##y53EQ$xBM+AMC;{<I9%|92ov&28mHD7gql<w8G=UL`Esf!{p#Sb40$GjPMDXTP-
z0sUjsL1ThmAR2}xpFVA;aYrvxOz;tsd<MU|hqmX=(a<^1{tQ@m7p-=rYwzB^-5p6-
zZAu@(kR496?Q-oWU*8LxCEgV!F>*E|Q`60xHX;4)HbhARY5I9G63hVSJ+D{d3!eJW
z8yV+UvuPSy-DT(F_e*TQj7mx%cZ!}accSdzDh9#eilu+$Njw==o?4YOiz4i&|9SO%
zmrxIybw$q)UQ#&w|Ar!w+Wa0`aYUv3<;77n9YGhVt*zB%_vBg0R&hC!JL0cxGIts+
z+xhdPjv@T`hh!!JUbmPopqsIciHV*rSgOj|icqR%2%E4h0PD@kk*Y0a-LV6e$LG9+
zcqU6)aTLhABVk0q&OSM{gN^MyDxm4F3CIR8S925tkmp|wNZ6CDF&H~-qh_hk&Qi=H
z#r$tVyodd1B31U!DWCW%F6qR}5}#V5R2a}6Adruy-1WiF+aJ)d2pUv#P)?y~+w^h3
zhq04k#iriF0CP<-QC4RQSYANf5~-!=&@wpHubj}pfK{9{X9A1hp0L^I7>pz|-3b`u
zzpCl}sS0s73TT(#aL{>YKQ!R=LZ9+CrrAbDc7@uubsCoZ7_5BW&O(v1G0*8ajH%nX
zcqcp+G`)R1Jo=FgU%B!fo#`-_Im3F6J$uN1rK`mG6QxU>OiN=U+>H$#?2AiFC#8a4
zys!hu=G(VRxf&SHNt8u|UpC^0$zj=_EAT5WrIAjC^W@Li<aWHfgmmlWnnER1Cs3Mk
zM#9SQY1}^jI%v^>O+vSS=FG!^ZV(-`gJV<b2BHW4Fc<=Ol_v^TZ~5NPpa?0&RP}Kr
z4|>MM48-8Yz1B#|6v)`6{^dg;+o!ZFDYM!mOl~r1%6DCcI3_9d7v#3OO>#PA=WE(t
z0vb?fSmg`1Nu)gXud9zbBDZU8Zazbpl>4WvADgd7&+5?j#;dMl2iDzv86ABe%oK0f
zGOy%;NR?V!*|u)g%DTGk^9XX~_+57xgA|%SpSIk_?rNT{d(`)FWw)cG_9?x;g=1sD
znNTd204vo^-5k6J1p)-RCPz-4J^NJ39pWT#p0HiNP89<9qrV7z4`Jb+%xLzg45yKq
z8K&JM<2mB|ju4G8Ff;EnEf73|$xIa$i{Lck$aprNOGl+~3<^X*3B*)eG_r_14j28|
zT;mO{Uw!cR<UDL+?bWXQCTwF1NJX4poDmrj`^|WIpBMyk2Hj9`V0d(eoX~KF-RPET
zYu--*`J@w*ul?K9EQa4@N?&<w=GIlgYbDB67`*+ATQbk;uQZeM-BzQ*w*Er;!E5cL
z*_RH7&4yUDRo@>pZVR8B-9PS|*}G15rotc4pW|B8E8VW7ip?%#JGmi>zy@x*x`8Rx
z+OA1<IW8`~dq-5nuD6zE8VWNr=U-j`;t3S-CU`l(bwt@M5VX<Q;e^2O`6a`kHQ2Gx
zZ~>RZ>{jr{c&=-kd|SG=k>OKl8>$nSW1xQqXeDsX3|jx3zku)o#@idfb5&h^CtZ@S
z+wgj-HXq<?14HzrqfgMeaREe5{(xNoj)g=v8_D7xo<y>%aXfYoqG2WfdXk#Q`Iv${
z!z%R`PDf+Xc6`g?cM+UYj=6Og!xKOwovm_RLTHKZ9R)BlV4W2a5rK1fa?1q(u-Ma}
zJfz+lye7h`$%JvX#lT&prKEt!?Hi%S2nYu5bB!1;3QJ93JVyO*@#HX;7x-h(yKBO^
z8u_LzBAmZ4=0aU|&8I#u>?pi)*7y!d^?zbqmU-E0ZhwFFgt;^SMBHwlgfb-~qj!J3
z#NrZiHAaO^o`MQXC1fe$!hSfKo+QIj(}eTM1vqQqn+JJ$Z^R%DIU<BXODRalr=Ilz
zH8E%W7c`4M)z(geCk2Ycb+2#Wj8(lj3>W;W_V#7yAh$aI1n6*rOrAm`x^D(u0&k3R
zN6vuSameH3D*{UgJkVrjkC5=XUuWj%-;EhJf#p2yyXT`@%a>C3EV|D%l(|d9y$f}X
zZS<&4x;P?3`LR00mq6+F>;X@)p~ue5Yy{W#7a4GKqRj{Z?*Kkk3|P;{2=bEBQihAL
zDS&XdDcfYHU8n*x8{1bOOtRQcvD*i%W8sg(Xam~2MMZb{3`To<({6luf_b2Ut!JyB
zLtunKvV@T-o)FlPc<g`<6JNhR8GUK7n|=9^eVAtTb4+u=w|{pOt~PFGU;s5(S~^tP
zGlIyIuim<KL{;$g+bem1PCy-&64*=o&(Tey7Cm917SoZTP|5!(83`|%bp<`zCTULU
z*4Dyu>Eeh2z|~MKWB>COhzbk8NH8=P(@EZ?4da{;aVvPctPp69WH;k0aN5jW1db_k
zN8+5v^?=od0`xMxQ)p;uT`<=c$(~7`Q)u<UP2WJ=fYb~(h?u>CTs$)JV^x)apx{jy
z)q~loGdSGz{G$_}3yGvPMk94p=$<|b%L3g_76SRf%k3nIC_ac+1YH3m%8^*KC(wfS
zctbpB%WM_WRzk!oeV_@82L*tB0P2vj_5Ym3`1dQ&4e<s$sQ%?||MOi}N+RO>25X*m
zDIlP?!AS`F?;5<_(a%L91J?8N>kEVj&uE)G84I>+WCN+=6h1If9H18fF7eLo+qduB
zDQ(&H31_x`!&;IPIK>(n7Q1mxva-wAV&G1I$^`_XOYB7T78#eb_;lT#%J*Hctckj&
zMP)!%@#20Q!9ZJTVb|*wgQefIINiRFlh*;f?oq5bKn+O>G4P?sO-Hg6myj?$HKmq(
z<23e8sQOOQ*i9hT@J-&q-bp)l$7O6>6^*WtzbxFA2?->$k4jFl*e&RsZ-?p4tSXAW
zY9;iasse@NUe!oVeiZ_~0iyx*Mqo!{ub|)qXIr2oun7oJ=OQ)wqeTH`F+{EW7%_D1
z8lVzCu7XW-g{9_T^jk1#R~58lrDLLmZUVdGP!jT<QRIG5JHp0;d__eC=u{(eyE08~
zlG`h6E5%ne7!(I_C?c_!2MmmHr$BYpxO}-tdYOr&R*DSYUqCYq=n1HKAB^fAIwnT2
zJ1u~APtvDj>VPqDzO2*CV-H|fRUzU+fMwCF;m3^wjtt2qCd@Y&rJ@ft4`%?ga3d<x
z(Ak(;XY|g=!pJ!9|D`P!k9pElk$_cVwyh^ocK5Gm&)<u@#q-|U89bLDk2`nof^{e)
znl4-Udu&Vz;#K?x)QdpLHDIBUzc_3zs7OuHa>b}V+&A(R;XR&H7jqsn+jw|Dch6%u
zu$q)jH+9#yogTF~`QxeuSn;1D1HuL@);n5KT>KN^z_9jYLId(!*&|1;hV7stu|*T~
z`e$c!5g+B-z_0Nh-%c_RT(j8GosRyJm|r4EQ(5^mnN2ln>Q^0RRis1ZN&aBb`O&t`
zUQP!sZy#_e<%y9hB|_IRh}Rr9gVSNG<Mw~M9x3A-R&x%0enG(r>|`)e$$$IgpZ&`o
z_HkD=F}xnO7G2q4VPOOU*H;}xDyaO|E2+{U*lMP<k{~*u%J%Fp+9DewYQD?HceUHe
z+l$?*v2`j=0gFYUd=i^U^6vjU!hQ5i9iX)xCF9J~HLiiU_hk`UgP41HhD^*K0L_6v
zi%cRt7@wTviUeo)h3gOs#@N~cn(L&9FI)fRo?`7t(Y>wvg`3dC)`|@b^)#{~20H)i
zYu!%1L>MAR)foZwmT$|l>Z5fmOrqUD5<dAKo8**|8@rGm&HM#>WRgyL#fZlu7!KeR
zjyk^qlMB|THI|}!#lLo%6{Jf=;6u8k@P>vobn>6=%&>9O7+5s0ICkj`)Q2yJ>)gOT
znV5U-?s_Yx-csmN2nt@h;)i?MH8LVYc=|}VEM$zAK9dL?LE26hhOf|nTZVR=Dv4T!
z@STRhw>ef(AS`Ch`t=yU)VK25lnY<byYfN82>weG<pL;~bOtZtM&JyAzZJOQ=UyBt
zY+Ad@ZQ(y2nAfU7%!zs-26rfow6c~6Jrhk$ON#^#L}5(uQ2StTG2dk|ga{~?(E4?x
zm{7p3ephFN0iBU+C1IYHjx|<lm-Ekaj7iM#;vpTiqM*=1r_>d*r3rrtetydIG`rx9
zQ#v}FOs`iNkg;dp#m36h?(lgr8pHL^R^zEA$OXj9U`@|Z!Qk&XJn8Rsb(W7d($e~m
z`~3MHsp1|D)e?dcG0X!NaEp^wvc{<@BZUSti220JgTro{0|R6Zc0GP_h@$ZMx*9yN
zbLD#xhWl%b`3Km;YGpH`6Rey9h)79&|F4%9lv)<<<OV-|dVQE0u&&m1m{e(*o`ZK9
z){utda4PC|aO`;)siU97u16gPfyho&eOtG73=jXnoj}P2@cOG$5B@9z%?~ugNTM7Z
z9MH^%5@sxSy6vEVfGB%NaBwy@Clt)+(O{w@X1OAW;tVBP6!hg=kM&QJHJ*gs#<&Lp
zV0YZf#>R%<16cUy&tl6m^zF%*tV_HKGN;Jx!dHfj_UFD#IKoDA(e9D0abQ2w`zNiO
zKMnD@P!C>DKsdxdzb<(6<ps><v>_&S@oDV-W5z@NjvNeuIXgQ$*jE``3~&IveKWGN
zRgGKWEa0=_$S)91$&5JFwr)iS^-aSd1`=T?F5;`<_CQQHLvQ>zBfR-iQ<rD;5WBd!
zxL!d8U7x4){0w^ArIlCrGvan0nkC(FW$D^57xr1<o7`G-Uv|^+Fg^rCmrKEX^92G&
zCO%Q&_wQq2BQ|EopMM#r&((W6GX2&4;gx9*8|w29>bgfp;%f)+TncIo)BA~B!>pBX
zQn0nnM?nmq@=|YBeVO-2reGPf{gBpCkdq-uI(H}56DPPvmNgGAuL&>;NVGX4F~%2j
zZ1iv3kOGw)i&SXJ0i5AWZ_k}N1s6ePqE<rEj1&VpaKeoUJgE`n^aw`#x=Y4z6XlR)
zW0@mw7e90;F)xppxQ8uYSyo1PpCQS|A#F*g>%rCU$SHYx=S)FC0qOvxg02hQ?1J?O
z-FS5v?KrjUPpP+csO3B0eV<2aDSn9l#`18M^5wbv%o<`&Gl?p3GH6ji31BMamc3dQ
z9_55&1%?mh<;V`z(GZcf8{?SXNw}$Le_UhyqZg<0@8OmJ57aC=3(5uXOTnVCK{!Te
zMrInk^F54Y;^U!c$^CKy9nWB7IzgJBIAL~(U;$keMhCirYsOjj*k|5RXUh|AyTk)=
z@?Tc27)KB7k=8ziQSz1d4Nj5S-7g$G_De~H+;W3O+Nb;@s_N>wgaKTTh^fk%Gt_j@
zxxbH!BA?j{8augXbkv+a2V=<yu@7f6>;^hP<BPC|O8~M$;ED_vH8jF1Bry*zC6I#o
z2aJmDM{o|A%(~&EMLz$*yuA&>o6xEiId4rmO(nz0d55TmrB-N9U{^)0iyYn@?Q~M_
z$Q7nvnQ8U@4S?SO%@d-2@GQb&oB%uFc!s79=PuR>j+(n*W<qZCOc3XU92sF>$TgPm
z%$h>dHF?^{r0Xci8YVs%yNV%f+>wAH$~4x|spr@wVd5&JdvycWfQlhzajHxfJxztD
zH9pn8g=lWz74*({E=W*1p(AErSzWNq9&=eRfI#vWq061Dl$3fkfK12J0KS$uSTTVH
zDKz;5oPc<AL8zw(Va0D&HQl_Oo74N`)9~;rXFsBP!To%B;ZsS;O&Ua$sxMz~W6t46
z&z<{<-0&ygUD#zD149yRJLFg>O|eYM`*<CnGIn4Qpjvgnh>IJ4Qfq^cb|Q66ycEry
zjkos^4<6@TT112vQYDe~_;`ybxX7Qlt5`J_P{|Kvhykg>G6n&myBoI=XOV6KpBbG#
zT&Sc8-PRc(CJ!G9vOj+Mw1|>xjEoQS6|t(I3JeSl9q#PheVt_;fI0ZMfbAeOe=xXZ
z)cVOPCj$fY{^ai7xf2FC2_^=8O`MWlxqnA5M{;Wjz1jBHy7J<dmU&=jdm~Z1u*z;V
zqchHzMWDsb)RTk7)yHd=0pISi3u7kdvAZ4ypiZIFd}BS1dJt8V27^6}jEvrg#@89`
zlMi|p5Wq}Fr)@fD`TR^Ba(i@M-ds6gGmfmm8J$-_e{B=+W`<7kpZLXpfAu;V7(y5!
z*VU^ELpYX#oCri3?{o$K$Ukw5?d|i&_kXV4>|YFh9ySo@HJb;MRBzbT|EPA+Z`5o`
z8ILq>Owm7&hzv@S`xf?H^z`3wTTtA=z9nbs+gTI0{QUf4hFcQqAWz}cFfcHHg9WB3
z6>Fn0PS{1_T={Nv3t9P@Gi7*Ch(Csc>}u95+?Y8y>++L!&u>>H<eq3&<XCjBqLT*q
z4M@+;D+Ik2k>;<+A5K54omdB*x8+gdN*-N$i=l7!FkXb0&=?Yibfdbmu0&)P{?DG-
z+1c&cyO)I>{%aw!t}gJ$LIDh=VsTwHA}P3Hpi2?68(;|vh7m+8fE0-qC<5{+G9uJr
zS+D46wA&$Fx}mF!O2fM<7q<l?GMlTb6LFIPasXyl(P8PG;f?CEdm=Fg`za#Q0z%p>
zhq0Oh`@XFGbDWE*oV`@C-)?V~e-ztL@4X>W6jxNM*Il`KHBK$_Tl032(;Ba8@Qe08
zTC-+NVq5m7=pn=kAXqlgLJ{QWU%$Y-L%{UAWe*$JigW@31*F#m%Z{_7xJX9p?0fgt
za1w)F<o!LERZeno@)X3t6%-gPk^f-m<OT4ZYYcW-Jb7!fax+N}9EzpCddaytG)bS^
zJ9|-=j*<F=k<kG<cxJYZ<)kN}etaDh!*CIE_x`E?{Q;^LfI}SSe<MTZe2i0@apVI>
zcoIDg7TLz!n<yT$eVz&KU_QNEgz{)R-L26!LOKgH26ln|Zx8(W%?;m9zf>7&t6Y@b
zRHy9U!6a2uF~QYJ3&xu0&7RLd15uO(<p=xwzpfp?eZXdXSh0XnFo?t72Y(}4Jx_{)
zRH_U68c+|4P9d528Ur}ZfMX;ek&C1Y0f6oz3dtX>CTmoUb%iCKtXe?8I!T7hOj}!<
zVBMeR(h+$wW9|EECqG=Z3(Ef~H<FN@9y(e%IBPTy_6SaW06V?rNjH{Iabg&3V1Dd>
z0zTYA-|Wjie^yF2Q`gqsExCxAnn;!rnLP~vT0v!b=+SorVQ54paI}R_xgb=4ABQ>-
z_B7uu<}d)0@F=r!cZB||`1vt1N+Yios5smsp@C-)pH2h#F5n#~sdD_;pb?$}31cnM
zkIKy6ECl4eJEfVh+j+k|jrF8s8Q-CTPOmD}{RytiSVagXL2OmPGSOM`Fo4_^PCRhS
z#oH0Ct?+oAnXx14xx-Qc8bmoH5n6d@Qi7YiBr#Kh?q^>g^kxL74YwArp_dLQ$No0z
znK=m_782S$kyw#X=mshZ!a|fHMxrxJ#gH0nky%YpWv{$LlR8vE4t3T9jvs75VVM9|
z7V?#g7cB?t`HodNY+A{omOo;OnKgDEco?6r$}?D@1Ay-D(4SSJrhwEZZkVZePU_V7
zGu4jEjQvA@@v7!I&EoJn7e=EWTYExI&dNF%L@O``Q<9Ux-}|@<USCDH0q5LVeBf!b
zo!!^VD_BTh0eHm<RYp&d_zLeVA0N>$*tBVd)KPKpu)=p(5P=M<sHfM9svp4*2o<m{
zPy`=9$_(iT4%Xn1@_ZW0HO}X6#2j)OC4a80^zriAw0Uzyd3kqcphk+I(~QOYmX-Wp
z%M8Kw=Gp^py~i)Dmw~_rrwCXhEQl`XMqv;CJP`ZEZX~l0+=;=zKe7Fr+s*%Q0o01|
z5Zaul)%6vrs`sC!9s}9}Vrv7sHQ=+<A?%`ZM_URoLK%#hn|Y8!1>7t>Sqe-Jh<(%5
zm7SJB&Fi+ABPfbwp7THhELdbGre@+Cx+O#(8?U1&dktCtKIBOjG|2D}OFm!yyMiHE
zJZ9{GANATyf+?}`qFv#b6MwAU@J}y-B)n>+;ZFQ5rd;ZG$SyBfQFQQJLEbEpn{mXR
zxF1HS3y9aMRSS^)e$*g_GVvC$`iv32EGsXLRfOZj%1e0FDv2>9TSF%R^q%{tXmV5E
zxMA$P)cCy$F8oxyVduyD?atGooe9+UKbDrpASA>3v=OD$C{i>Rf=Z23k#I7`at6Tj
z?#eqHRoDoRb{u(!L!W6h8NeHSBpEJVy7UbS*P$sQ13NmoXXTR#+Z=d)fP=%$143X>
z{?PqI1;0cv`%pHGKzgP9LL-4dh|q(CcPJg;`1#pc^h_YE!;4MI4s_w$qq);zXQBl&
zT~3}{=ZL89DZ4ydH8L{dGgpS+6)`}thTZgT07Klw#H*E%sxpk{Dg(1M^u{14`(|hS
zobYynYLP6ABOAM0ZkIjz?G^eOTvI;yZ&>R~D7x@_xv7>==)eRTyB5Czu}~Hz4klc)
z%@iYo9A$WLVhF!75MxEFq$XhwO-+Xm6?9&~JI_NJJg^8mO$Q_ns4mLCNz$dlYa1K_
z=zIYNA0CZIt2)F36aT*MIt(ST?e_rUiB_y4kXf<surJ%n%Ib)~hkNZbR=6IxEs_E!
zyj@c^Xb5-#!{*j^MppoTPROMM6`uvmo%m6>EU;mqBHjXgEq5eU6Yuqr{tT_%GzLNt
z+6*h7oLR%Ju!{%V7+D=svgq+boQvp4&|L&tLf|EEFMpkr6Qa+8%OZ(veDT+4U*En(
zmo2-b9=p(?93KL}N6Zh!FF>I9R#kOAp}{NfJ8-c%*X3zfB!VE*0lR=Pc000F?64(D
zdj7cmnjby&fPq1W-_2<}@FNK1E}T#}n`J1C*QxJwVrV@6$ubUol&EXfiM>;>gNiE5
zRTPWatp&v?6x;JaS5Zm(dtiztS<?tALsT?jNK4Rdp(7wX$eS1Q0Tb~E2~7^fgs0hO
zX&d6-wJ_8WtTl)Veh)QWzQAI#L`?Ra|E~4@%|+a47|Y6G0g*_V8#at#E^bJ1H-Ozm
z9F<LjNC&M)TARRifL<0!j(gumVk#sP6L-=z+zvsNbhBKi*_(Lulm?h!^8~0s$<}%J
z_wM8FggYm0lZ;g_jjdZkY-~AZ(w;rbwZi%)Rq2hU1K+D&H9`0~xGYN0v5ahIXV1r8
z0+8_=SY<sWgxJSh$w%EVh3oNbA#T~}r`*^ez-IMPV<NPPxQGHv277-NR8zE{U0o3m
zkUTwC5g?I-H=?d_pW?59<F@gs(R0?;Q}_%}35iY?A|J+%W+x=>FY&l5;Hj7#t!?Na
z^5bhui|U2V?-z*y@yJz@xR9dzN=<wwcp9~}bVPZ6l<5gm686n9F>IP(BjX@I0ea;0
zDET{b4kUR*M;|K{2}|OPIS=lWJ5GR~S&V}rtk=uS!MF<A5+4`Ght4Wq0s_<H<DL&6
z!dUYcLhI(>0%$7e{Z!(5H9<z0$CB_g03WcVwCR$~P?H^%CK2h}wmqTT)`Tt=N&`f5
zs4lAxn;<ZNz>M;I5#>0L7cL&#H6*v!w}0MH1_twj&C<$>E7IM4-DDw>TM^+FK44tj
zsQ-0B6-up`7NH<h)zHAE-^I+V?}Vhe6WIj8-9)Av=J1P0W@WQ>aJ*d|?&o)m49Z}V
z_!Dn&4AXwrLPa_%q#c&KHuY1q2PST(U$6QwSx9kg7_i1o@Hip}Wm>&ssXL*z;n;MV
zDooz9Z!&_z*mryV2R!9OEKNGUS;_#ib|0Py5RKr@LH+=%JDG0u$E&X0{5?HwZs^We
zSt^p7Zrp@-sb)JxJvJ1sj7{}Hd;+E>?&J8|`VYnpK7<;<$SDy*Q6Zt)!)pQJ?Ay1G
z;Uc<K$ldvTY6gE}(Zicvh7M+U{nip-^bnz0x3}Q-YODu`++FfSN%&adlG|u)%oaMJ
zYx*GIN|q+#-<e=C+LELIVnIO=7Wvj15Mt5e(YNWr(T)hPjCNdK;tmvVENM%vSjQ-q
z;GuUFx3~>H`pBCWCc~GZ7SywOymu0KgM*#j3(Yea4*Yx=<X`RaKqvfe($b!_Gg#*I
z7jgdJSsFG{w|#<wUeu(Kn8iw06TZBl&yx;K0Jp&5!%0X~3F{PiwW3=Bjgb_*GM_wo
z0$4{f`4OhO8aID1L>h&KLNtlsdVpgH5D_s=63o;kbOLsXS!kiQhgk1x7<YH0#S+5D
zwf&4(#3*L0Iuvn9Hi|LPk<?l03U!r@CO7^83kfW>i$pO)XC(FDdrVpM?o?_^jf%Q~
zQX2uf8MP5m4o2$xU+UwyzZ+rDK<srLomHz=<>cmO-x{Qpu$sf4BG5Mn+eVJvnUS5n
z9j%`8=ZS7HQnWnC{(F6E=!mC>hm7&2NYoIiiGOW9fX_GqT>TX9@ioVumn(cbFh!Iz
zXf*=@bHyHn)y3u=!uv%;((t*_T0nS43~Op?a@UeYAP2Bseh~w^gp~nO6X-hPG2|nc
zp-^OFTZoZe<bhcsDn}n)3~xq}f|9luCpRou5vLSjcOMX-h|~gO$rr(7#Ygj6YH@+-
z!lQ=|lWpE2O@L+!Ew4^=Tai<|=+1*VM`EzCZGYp{#os#L7Hw}{E%j$?P(S=(Q|8%U
zj~`kBf`LYYANH*Mo;b3u3xIP+Os`aJb<{-z7a!uMeIYDWKoEk!)01FYA_+8a%@{{8
zgOHm`Qj+kPaQDL$Ow<n5gTIFo4m<~R_luA;Rff(ZU<nBdHmaH5B|IY}ZN47Lh>wp4
zya%8IC-#5flbjpk)NH7Wa*N-B$c$tMRKPFNCRjkAaZ@HHp4?10sgJ;b0P8we8y=#L
zQ51+tu`|Qz?Qm6&!_uNasL_<V;k9Xmss2=qnUYKTS>qtlzvv7cz0FxL<AE5ffl!09
z8CgqjsLlPqj*;<Tz+@7YT?C?u!)<Z}(M)*z7QD948J68&A7D9}q8@{a8XH!ChbItC
zR3Nt3VpEkaIXNvL>4EtY?wJe-(VQ?$MP=;(?BK?Y9z=5*`!Os&P#4br55Okk@gN2?
zV!rAPwq3wexFEv&_qZl!BnoLHRNb6qTaOw1Ony2?<##5!8L$Red;~x#6O3lZbtFE4
zfw;yI6SKcT_aJ)dn%8Qv(4|eB<vDU(^YUoM6Kq+mW^7s>>(uW=B3Xma+DNki=7|y;
zd=Wkn%$+~}S0*o&jRBEccYWH(i7n0GRY9<%31TMF0wzYrL`gw_b_e(GZ^Y-tyP)j#
z_zZENxOm_Zci8?LCff}Y@(AP+6hfsw+BGo1!oXmK;{{z>&gOLU@C-rnR+Y@5p1{t-
zP;{XlfRNT10~s&~l`y>^wj}aJEGdxNSn@21=Z=K^d;Y{gwrk6FtC%O01r9@>6b>Al
zCJ*O9)tjk`!xGbzj5`-B!Utm+4`jO6E?we`eu54oCx+FF4)h@9C8k1<KR8aC6%_&>
zM$Qtfxrd)W9#Me|h)RFb2L-oD-W=9P@pEl?GI@=v46$fYmlCEiV`I=JJXCvrcJ}~_
z9Rq$88~@4poj+F>fAqZd7-z!0kl^!GCodbzIx0@FBTsIGGcU-K5V1_6GM^CtSuT+O
z{_We1FeUZ%#k7(^gf2`g!R0Q^HRM0!zssj;mUNcjD09wXPXZ$^mREh06u8W%@*&Y)
zE>*=DzGIv_FiCkxcWVvaIoxq16E_Nv5C~>-tGv7G&r4!X-hWUix02ol!2`|(#y9SU
zx#Z~f89iFFc5Ut=rG-2Na~u#&WMUExdtgR#?Z9*7tH@FJ4yN?m>pX1%Z1%N1%XwY|
z?nOZmjf{9Xq4<a27t%<K%ebzD%?}n5<YhoSFyQ!6`a8d98a=Qt0iPlK5vButd}#m0
zO_fEj=nZk35?{XgtDvL(0Gp^+m<QZys&<XFeK34lQ3%o*3IJZZq%V{1%<yk!kmRRT
zU6&6f02f!$j2$$LKr5S!N4)FN$ASUMaWWEprgU3CB--<BNdE;zL@023f~@0fWu=H&
z%vpgV4k@Vx^bL@}>AC6(^%P&_=lX|<z-naoJ8fCA@%CUNonLzTboOZ8Su)zzqAnb*
zob@iQQ#Eop|0;YyioGA##UH(~Ds9`oNSu^7^PcSF<>Qk-b4Dl5oD)3CB%7>jv7s0Q
z44{xq{siQo*9VGxL_G|=zk4QHhZz}qxOU4;<+4K}m|$bWW#)7sfbJiX$mXTASFP-;
z*pi=yBmq`NQy!KgL^FV`NO(sDR>kKxi<OD_$@<+V8WIt7@i*u$Zf2K}+OsDL=^*L=
z0F(9@DbYxBb#?XH_scqqP<BjBVU#>j<Fu^o%oi_S5ZNxWKBH6#0RaIVH|U+9<hik_
z;j};z8FaIX!%_$T<)YM&pW3Z;XgO)(!hz?wE&C$3$jrF$_2|{$DWJn6B_)M3@sTgw
z>gHx<fD9(p4HOT2e_IQf5iS!G=){9?8<CNL!Lx-3_@KHnu~xs9XPrz@S_h8S`BSG(
z!BQSM`AjRI3nL_ec#u$4qDuZ&en{U+T*C7C*%h@m7LC^NgPOl~l^91Q?EC$*`S1@7
zNHoQ?3f!>hkyfa%LVyK|?c>K=@B6vAk?I`-GM=e}kP8S2&Ulw#J_pM=fXfKm5cs-#
z`~^%>RO>%6$?}4KgGst?pg+jG`ERyLLE7onj3ZJLwfE$<$%Ii7N*;k<B`?1>68#<4
zuxSyS|Kz7#eZ!J=3eFNS@DAzWdnDf+en|Vy7t1*K@;@U4n#nY+=p?^XjE{}I-r#r1
zeZ#kZ{WX<^&!kQjN{hRk+T;DJGs593Kw57$@#M5LSaJQI+_Fd=AtZ~Az_%gZ#*@|M
z9e~xmm?P!=g9oL^`yLUrV>G{Tf_YUE)`moF`aRuTQ&g0-uwI3Q^HhQwbu^cGJq>Kg
zCP4|ev_ZoiulUHwzdpO0@N=iJ&c0=AsqBw6mT$k5Rg)njEYp1QV|qF?6$sCuxdrAI
zKbgfZ?f>~xcPaj_moE^4;Jg5l1qA~}njU@XMb{lnPoi%OE)O6Q)bI0vJTy~{w*AdC
zla*=2e4c-RM;a$UdFXKOLzqE~k!Qg7kWZYIm)Dgn%0=U>tBfO(D15L#ac)VuE=h$a
zT)gm;;zlypM84EFEBhzxSvaqj{KjRvEyk?6xP2;L(J%hC%G{*{5n<jlHO*B`#dP4q
z%I@B+jckXz6ceM6#W53-VE0rjP^SpFRlCbPAB@^$WWqeqVxc*23!sX@Pay{OhI(=c
zcQnDV46tol`jhbt;vDMiEZp@D0bMou#utJ+P9&VSpfu%t7azY1Iwt$Q=oH-WUA@)s
zS}Y8D^q($6LUSe>->o08CP!U4fWmwcqsF?eW&@6q;Y@|?L9j+rM?E(ld){)qcFPzz
zK+ODVP(b08kKEqWG%h%}1&wksg-lr8W2DC|q=$ezakgQ^8df|=0h@ADJ<i9iJlld|
zd&lbjFyX8iE63q$e42R+s71KXyMt<rp2qy|LH*%RFx^6{991xGa3ZO_x>_smb#AA}
zmm3e!F$Ad(BhUcUgOgyBimxz@p}mJ1!mC`20fO!$hrXNq<9}hF{la*wFPRJIyyMA5
z9J*3X1WOY@kR@^%s~1pBAmzCZx3WubRZ@+vLiwtxIXW<q3ECc(4|UdWP?L}|j5l8Q
z_2k{TG>B>&^cdhsmHcZ=j13I5^2^cBC~i{jxU);f35zrOipZj`bucMZK~YupEEzu;
z7FMamxp57Km>^Z3p)=+k<LcdxP22*23PcCpjaNt&XKI(1>A@8sMz>+}p~s86&#m1?
zwzM2yA#ePEa21WNuAe`zUcNjDz^$*R2gFq*{D-03t^R?yCu!O&Y^X_f0jB7n52vT6
z!;7)yg9_g~Z#{Tdy}f}QoapTVxy6tp;#=@vgQ9~Dyh2%7<`-`_ruF}x!#R{{P_ruB
zP=p#%sjFA7l6!`Shao~6x*7BynHQYLC9|pBPQD#jKSM|K;Sb-*C2RmQ)`PD8A2hGC
zAS3vJQ--~c3%q#c3gP(_^><!nK`j-vxIR>28hJH+4Ni2%lU{NMo|hrm6ZLF-?Lz`0
zLFV1NnQCbZif0qgk3jZ5^~B-kYz6=F3!+Tug%vOhWsc*9G1vVE4sdctU;1LhEL@Mc
z-+g%H4Zy#tp9;U-mynee<bjX<sIN*0S=35`UfC5-LP|j#!m`k4Ur<#wPR?BA@#<PE
z%)CR?*EZ@kHb&;<?ON_OC!?|0__4gBYmBS@6zn#YT1_{od3VaakB?V)RU?-Eg8R{8
zZ18aRX3`ywg5{Tad0`&!hbNGP8uA^l|NdPq-{r?bMtHd9@#A;Dtb4?vfZ_&!Oo=5?
zO*u#}m9~3y$i1&AbWJW<dn~%9(D#LUlIw2a*&pwzhA`S;xxi-r1CzK?PU$W}0Et%z
zV}HT&ZPPdNAc*E_m<xL4rKR~h+n8C_{y?cYg$U7GD)(r6Cp<3M*i6D5g6W1<w|i)@
z&y;MKFUSt+X-WuYYs%9;;s_HF)}8oXh8DYBsaAgJ`wGXkBwD=re`itA0XFSV20|)+
z`21)+E#S?gR(DCu0Ny2l!ECMhw~Q%L(0ZQ;vj&>*w{OzhS726tJSq!YTXreCLv%Z3
zU0UrfZVpwjCG!3qurVW^yW8tZJ+d4-$e<B{$K96M5vqa7V(dyez{19Nx6qD6EdU@F
zbuTa&3!B@xBZAk5ZG{O{qMBx{rbJ|N@=Zt^hK{Ie=e>NXjq+~j6k=POec#Ta4wSD%
z*a8y~N7+1v;ehss4l<s(l(cj^iaZ?Yr47KMDyXVP=ED2(bLVnTQ21XTF1zwwHhS86
z<<z3oO|3>R<@l{zsb7v2`2h|L%K43&>VKd_`6m#ct2AT0tx?G0dICE@me;S@JJ1XV
zgM+jG8Kg8oGs+cy<D+<_*$*E`TYSR%HKxMrbHNa2rF`X!W#W3)gc0m13z;H?QI2O{
z_N>}>O^3fowyp^z#-mT~5RHOrHs$iHJA#SYiTynxZ{IN6%3%-b{gMCeZ8Z6qtpX6+
zKdp3|+P=;d%DkuBRfI4w7-(10RK-HNnxFEctvrfq>-?XD*oT!{l}a{z8T*=9sVSC?
zpEKZGQR1k16i1AFo*GH?+K_u^Hf7{ad`CxV&G-~1TQ(lA)g+|k5tf$s-%fO;-FTYp
z7n~DZkQB=jKQJX0`olrqscuzYJwB&AiO5LZ)b~`m{Fq6g_4&zdE6P}qZ(QN`Mx6hn
z&;!++I}wr-A*alpDrlCkltvlUgfnX$bj0dk5tniZO^%s}^}pC&b+Lfa$mVjk`i+U4
z3g0bXWr-Mb=r+MGCiUDnEH&xW(6;v6>^Y@psrCDqEt#sQx<)>S*Y<sz>@@Nkqk>(`
z3NhF~VrY@-_Cb@Kr7vF=|8i%FmG^n^D9PBpFHfvAd&4lE*m|M?;}$DK8y%lmz`9;$
zR@|O4$eBlN3`kJlAm8e1b=u6EOe@8d@+;p(KPU}fGo5EO4y#k&TGcmp*bg^__b-Bw
zuBJFK)F6K+cGj=Apjl|RD{ot5aIQj=girC!W1X#s8k?1Ej6P20yq`Vv0mG5q2y1<k
z#YMJ(@4HySergx7Hzf!JRXq4L%V;t&l^r2hQCxhM=jHdVOg5G!p4^z(Z12e3=Wn{U
zP!$wT{aQcw;Oh4XtA#i$b#!MLsf$5y;-%FZ?d|DN%Kiu+mBtrqH@&Z<LBEsmx-m}3
z6#+33L}u{iuH2OGf+;EbIX<4A8v&tHC@@xOL7jaO)_XD&$N>reAAnZK^dJBPb$A^u
z+YB->n9>Gsfm}pA!$RA{!~~{&zP`Tc>9&9jVLah7)4ASL*MsB3c6**Fhuqa>wNl>O
z4|DSH3<$W+dZlbKoWc?1<m{ZAn;WXWq49N{5i)j<&*kN@;C(?EVaIduAVz<J8(qoY
z<2vS9EvOKaZX@|Jy(4hJRKx#%ddyVV9hozYdD_2S{ezZyZ}lBqo=iAA`E&4`o<R!_
zf6zI1W{0fP8$<(7nM<W=kktZg&x*fPcP{!Np2zp%#HiiBJ@o+5o1#VHy1Y~we`1ew
zllqV6u18w)j{Qz0lg&oVOgUQ}Xso^ZI}>-HXX!Z9c$hK=gbkG`_i9G!wRE~GywKLJ
zZ6HbDJUm8lC^8{N2g)=10tseCsAR*8#~;kc?!Q1`xUn!Dg6R&57#kZK5WF^X0YgGc
zqU{k07!1KbmuUO|5rT2&d*>wlU3|PxD4zJW_e$CmRBM(6Kha%zG*nH*k9{e|*};9s
z2U^WN2fteJ&hkt1S*eBO>Pi)KX}vrm6+JDyR5b3Ns{Kv*>_Au0u%JQ|vn7uW^|b3+
z1XwjcjfD9n<BCr2&1)5xp0;_uIo5FDO2lGcKr@5nvRMCC-dkQ9yn!9U(%L;BAOHyf
z(gnf<&r%66ERqGn!h#Sw%z$i^nIH~gDiR%>@Q@Dp2Lup}BGmDozP>=g?14`sEYonU
z(DtBWVfKYaXL-pvRYe^M4y4s=Y)(j`U^2da3wI>avIOOn-coi~xIZe!)`5qwUm3!3
zSm&Nbf+o<){H5OlmSF3>+1{j0hgfAn+kMEyj_*x(MbZwoWv`a6J-u5xC*MBh(lT#P
zl$aFKNaDME@qB{CkB?Cm{By6i${h2%u6#u1VEk$Gd{w7_zBwCj=4&adEsivs`yNqC
zm$;nON!eU6F6^5mbZVgUg#+*}T6P&HoIa?H35%0uPoRw4ksuZ!?Z6pEs4$R(3b7Ml
z82lrW8gQC+Wpp6*Td~Uk!55CxjFQ{`Kw;=7p?PWoGf?7evjcS+B_E(IbFm*QP?)%s
zlvB@VKd2P|#tX;yK{9hFFCZpHAFMGXR`_|9D_20T%flT~BeQgk36$*mvmz3ij_3}Q
zOy+0ww<xP#t?bz#Hz;}eA`Wd)`!N{=IqqW(UE65ZSF|57&uO{N>E@A_RP8P$m-3^>
z)0U?ytGw=>Z-R=}a8-X<`uf%o7S*|+#SvN(ZSB}-xY#$zR|46uB&W}peqV9E`5Qcw
zWy6^1|2vIv;+R`_c>Bs&S&(f+*l1{IgcU~D!IUBHW7%$)+jEdklaF0dP3Mk;tTNbk
zibBy78pa*pA5UWprAy-k6;L5)cnm;;M2!l&;(JWjSIh`H3`7)lt(v?ha|BDLZuyAu
z(N3>5ZS!&VDVWq?<FcoW*|)tJ_+plOaw@Z8c79!lk+rPe_zp_#7Q|Bue~A__C-4E$
zqG?Uh-%@p%80w3DEAS7bLP&{`>K=PlgHFQnGb~u2T#+b71M}<t1!1cgOq83R<&BQI
z7Av5cca99NlxMj#oLP3`I^ZLLMfI+B03bM+eE)ID7wFl~^zGsqEjHDVn~R?L<haC6
z^?7N)?SxbFD80}=+so>0C8<^|9p1Wcok$#<i;L~Qw?*f;i}dd>Q%|=Nciliu?SNLQ
zXFnmyWRY)Lm_?i5;PW%!uK+!uuR)I>>KWbk?WceUo#-_uI^W=3%DcG8Os`N#pFE+z
z{}&zH+7G|S?cTRfA1E+>5)lrVaX|XN1>&l8hNuWgV~1!!^MtopOlk{{mTLA;LAhUY
z`&ny-Hc!(V>AxB(mbX{kOt+=#lW^TVPHpgUb;hd2MIEZUqZ_yL{s3--<3;ttg+x$~
zgYUv{$%QhcOia(*EI?3oZPeJ{Hx8}q$&>Em<9G^a0VX#vrF#g002?NxPfLf=9@iPT
z<@3Kq?kHn3*NdqJbhqDwx1o$v2HFWj2_|Ow5r1F$QK=$9bQ?H1CBp3l3}~+VPMJNm
ztYi!o*EK(rQrbJ5C6&i0m9GJ^WlU|u+qI9Fgp~wQ#G$7Z-~m00*(8g}e}(t5xuZAA
zu5cLF(beFP07U+U7G!M9CrGLnr6cMKN%hz|3@YFOb_V_qgqBRDZ?3!p6o<iQw}+i!
zf18Dk4Bt4762V9Eu&=xRR9&XHarH_{wa4i->D(;uRfl=?Pd)ZApX}}~D=W0`e;Xus
z&9Q2aZI{$6168bvPtpwC-Gi?Eq-rUiD>AE2#ySmO^U%e1@p$+UEe1kKE#}S=c1!dF
zl)H))lbrq?hw%5j7t);_p*&l*!AczK85ph>8(Svx>187GG-1VE61`gq5VAU{7k
zM#dYKN{B#U5;%a~1n+Ph3s0WhM57x`!sPpdQ32YV5)wh(>S4v7X^F)Wv>~P{nt5l<
z>?g-#%(iA`qS{HfO!$gKlk`6(RZ4*^YGA6ZE^OTT*T-Q+&l6{&Z(?W#c?$jniT7K1
z2}8Tnr#&A$kh^s0$@n<X4GdC)^Lv^^t{80PvcSuKviIyR`yM|KwFp1HT~c=Fybuz#
z)d<4ZU6{^}f)|2z^Ov$Rw5?gg9kF;!e`FmI7gv5&!>g8Y!C{5csGqXEi7?MNdbwk2
zY9yJBz1RDA#_n9!iA;O;uvbC?T-ka9$Xh)d<i4-BaHd}Nf4J3!rLCwo?z*jH!1Y3C
zKp=;?aP?{`Ea;4{H}0{AogqDa<RSX4TMHaU>ES+3O|1ed1^`DCpTMBOxhGU-fONKA
zgdgl|y(QemL6b&o)EgiK)pyJS2)}z^8Lz(3kN;Kv_<pKRPxOcOXe7d4P1_TjGqoM(
z*JVeMOW%{s%{qR5W}jnx!ImWMe*CysompMi@@kelS>q?zniOpdBCVx%KV2;>U3UAG
zaA~?<+;IJmR}Y>9Jf5WpUfj=!`5C}+QPnPDcUG(?Mx#kfhk5`!iM|rVT?lUg^zwl0
z<G3Q9ESv2V2>u`o;`-BWC>eQp3_&a4&7J;LceejIj`zk}QO|ZWA1n57rzOZTK|^#w
z%llT@oEfd`ntD62T0m|`gBJaF(_Wiy_Z;!=6Wy}`Ju{6a8C*eQB>AvN`FrzjVk3vm
zc1E_o3b!~X-3!(~)UnDirN>;|Nn3bOSW5t$y#V%fQXl}YT=aJUP67ZH^q<05_7G{u
zdbG4~s+N=<A;y$PKAVbf7z9cBBpIBkTUIG_CUMV+3p}-AD_RktX5Z$t)-J3@#ea>N
z6P+=0k3AO)J2^n+utr;6ZiF50S${pp@80oFjs+EgNzn-`=4$%Mo}on|AOsAwzIt#V
ze7oG4vx8?2FpfyGU-ogj%~(mJj5~@h2iz7H`24>@uzLa<f6{gvbusb+kNrUZTlb8i
z|B6Hrz5>a$*!#I4>!5oX=;6<=-VBXK(J9Q;fOR97GZUvrfnl;@D}zjj(spx9xVY7d
zMqWPy`uEFfEaVSJCV;!azjl0K$9*O)NutU~3;;5~x@>79PF}_STywrmMyBXqJjwi~
znzg%V)iAv*?IGH)Y@JPG{+%{M_lqz0Eb_YTGae7t=hZJ-vzf_Z6UpFvYu1*rQz3nA
z)2C0AAG+l5I5<1<#ADTIs$JchHtZ8LnVFL5Ie(<KASgWT21JX>eiI#r)E6~p;viAn
z&zQeRQPtDqmPDyQzn}@2o*V@gm>kk-V<(3{04Q1=Z!Wz>jUZ{=pQuwz4axE!jV+7s
z*RnE#Qc8?{-NGuu+xYd)T34snZ|jV}ase%zk)FP5cz7qAdxnRlK^en3-v7MpkCDv7
zgLerA5^l{^C8f`!*#|SWH?0U%ABPu*gh<WbQhZTpHtI`16J<cTAW`}`G-08SonKH!
zMWFw*of&=jQ`-gaNBWuNjs0oc8`l2#IHpb2JWBHR`WSN`i!``)AXFEj3Ju3Y_S=Kw
z6qtAJtf(=CMS+L6cSTuQGboS*Qwt6ZE2`W}7cXi%!8OhdoqOCSq{v38LF%UX3fPxu
z=AEVd!3{73N>wq{_=1N{lQ0iYUi4>>{NW5kPY2EgGqbZWgQJB|3L+^mG~<~+=hM*L
z!}Gr1R=<OWqZ!C1`YME8R4n`P$pr8?fI7Fdv^3p!Gld1i;(_UjiLU(Vbz+K0xZ$>V
zCi=<Xoz{(kx^|Z5<0O;4%?<LamU)kTQeG#b_##E@>(-7hXWY|g4;MC-_R-8WIE-X(
zPig!qvZcyho10m7euiztf!zJ(_TAIFL=>7^FE;IYx@m{WIB%|oD}Zq(J{6^qM57FF
zD7@YPzI^wNlM`Y_O-;Gc?jKHI4Z=Uo5D9bgngecnYYDmUQ3Vkp5!QnIZRQyfDcqft
zA*TfVPIHLfv#}fqJ-nq(urf(BFJtkW<d?%6+Z9q;#pAhj=A?Vu04}l<q|6QjPQjeJ
zwb>cfX5+jv2fu#t;ku~$zEI_qO%KIfYMl49+Aa~<a+k~<o{*M-uZ8L<#`3;gS4Ci-
zMK>44_;avmXJ*T2{iUqxwwcQgXN`H5nM-vhhPrG_^HsBtxYqBw+-HBGTK9ye{1n(y
z)vW||vVfhfebA<Yrm8~6y>A00nU~I-E_}?yiqrYkXKzkQdimJ-=Q8C#x=szWANCyV
z!3mRc9|I79<K!;MX207m=yd&D1HE#2r?F;}=yJ-Mnqk|emXE;+Li#!M*%6fN@ngou
znUkKM*silxyNKGI84c_-Pw=wZr*9ei>AI;s_&+-(@YySV4354}r1*Q8w2g3zaer$u
z*T}W(YtnJBy>ZWm-~U0y@~O;-+$#FRitGeysDqfvQvH5hO;|&Nzojw2a#*6~{qJA1
zQ)A*EbBg)1HpO4;V{{S}x_JZ=omE6MdHmGFVkFr<tfg6zqTX!L_063jS+nVJ9iLf?
zUf8$b(+q7oDe5}$Ob%HdEukBf_D)gHBm%j4UnqpDi?4J!AJt;$zChU=D;{q$bKpk)
zyqDy04}<Av^p-JR22p)#Z|Q9Xn#RA34Rw=>ipIR-7tNMVW%3?VtTwXY)EffJ9XR&J
zTxLK_Cx~YqU%sb{`iIO9PcgxqSZPH8%UcqXEOz4G6hdvf_l_6nYE$9#N!&oymiIvg
z=K66du?Ey*p(eZ#GB$1sRd}#`gFf&*jrn7#`QP%far~0{Te_Amo2le}Y!1-c@_w;W
zW6b<x`I8p;dhhg78%s*ZwZ*I<`I*kW3BC86I7g3o>(0c`3fMo-O&j!{VJvv6k+6>t
z{QPk6&K+I*%`jD^XwyRei$!Q5{c7@ANN%!g>?F}GzzZ3Qh0SjHV^9ywt8ekX4^l|&
z@=W=<&4S|ePL%i3W<6?b2a7Oqwt+d$rOL8Nsnzw&h(O_|XH}PM^K{x>Uj2Mfm$3Cq
z7ImoFz>j#})D-R<>DSeg99R18ISF?3o;w!P$mSY9$-Ho$ak`s>pSml2s{%~OAi2UV
zNJj1f`0ywrF6YvIMnJBZDO<@ORRezCBrc9Zv9Z~$6?`o=?#&wxP62@g?BUNYi{V^+
zQLmDZ-OXZtVHW!1&3NFAr8&uiQB~1>E=oU+ei}V|Y_ccD$^Xo9aA#9M$ug%qCA%|$
zTi(uVKs|n6BcEAYWrbaieXng}q_qiu?z26z{hEW`%R9c$i#TeJYn#`k3w@n+Ju~{n
z(%HE3*3zBp5)!4+8RvUErB}B{p4fEG)0`28`0yt2_>5Ra5Was3E2Ei$o)@PlX@fhq
zQ$$VTi#F4|wen%79Yke6TfLm=%w61j?PLDp$dn<)efZ~IN~gSxv6i;j<%?C$nlHn?
zIVQ_;RvzL1>bDQrcjIcA=~Zqeg?i*=alvHI-<>;)^gz!r?oGlcNgXFUgfXniP(C~Q
ze$j<8F7Cc7`I);^)loAiN#lJYS<;;}n$KR|H0DvCda$<lVAhwq3c~l&tz_*^?3?U)
zalvmrzGr`UbXz*;$JtfglnkFTOIkFW<U85+#$?indv!?Lz4WKAnLUHs6oJZmGb8I4
zUL|$+%_fDYbpOcVi|?MX2J#x`I~N&I<ig6{3z_8yvn36hS(Q}SDC<aNZz$d4RCIh)
zpFMo?c=#$x%*GGxfhoRKNwz;Jr)p01B2e`c{_1YJy)}ycjLstnPL<1%3=b-{#BW~=
z;T0A9)IH34Em(kgv~_deY{Dt?l+vZH%ExC}&u!TO9huLIDwDpFJ6W^O=C3YY{!(^p
z=IbuzfZLm&m$SZHzi6C0=oF;o`?GybwCzwCWUl<goI<w3J=$4IMZfB^nkKH94c}=I
zeV^w4g*jC0t6<J<^~r%G*7na)DHS#S3So;`<3?l2efE=-Yz~pyZ1vLvohj<AJ)wUI
zI5yfiILK*%jCP2i%~OgGCj`50AJMo_u<v!*^Z3kw>^^&Do~J#TRqEDVi7(f^w55{}
z_+gi0St}Fd5V$3e+%TgVD4AQH!MAW=`K`I)@S%meoW;rwMjx$sZS}_`dec)HANN^t
zR!OcBrF+^}Ls%Uu5^>RHk0otpf6M7ilUGV3VRan)bC=mz3@zt!H!#&oO7ib7+N6{G
zf_Tq`sv}><C>q(7<DShfKW<X)Ta4ZmFf+9;svo)WAv?Q>1O1PqT!h=N_uYt`U(_tB
z!leSm`b&w@a^L&fE{E#7_X*j%l<B`U|HYmves1fCcNck$dDzaImg!b=du+NcM)ikw
zHd?J2y7fA;ZJY(gRK#Jz#Ltm#&LmBqUPvnZ#K4f~sJcyZYh{;&{f()p+zmC~4?0i`
zHlAqWezRyMR(vDjX0~Aaj@*l^cH&R6H&zv9)Dl``dek~cuXFMjsY;%J^0`-0B=gxp
zp)Ec2-?BT^CogBTjI!0|C7UnlZyY+ZoH{6TMJ=)Mo@m&X^JMp`P591vHT!jUg2uiT
ziI)zm?VC;ERDK|Zokg3xZ6=D*(;sl08xUqv^=AwHn{xG99diTfY&_0(*Gn>0`pYKk
z1#`rF)EFvn(Pvy>Lc(}(_^v~{NYu#0L8pZJYMmpy2p_`7Uco7w5W@vzyuPt$cqwUX
zoN)-4h{%huQrA8~8W^^;8VaPGWmPaiDYUDhk3&%=-EL=}yQ{ISK>oM3nYGKDCwOOx
z&&u?2^%fF``_!!o-muEaZW7&q^SpaqiQ`Ahs_+26)A1rEwEG-H@~EaCTKCSZS6D9~
zV2e#&vgM(d22&-sPwB*Pk^@>iq?K|u<g~#$rsk1e@isB<N!PC$I_|b#FU`hRJBljJ
zm*pYo{LIy>eEtr9*j%A)tR`i#LzbIE$5SRO%9X*yB|NT>n~;|z6P756%uTOet=@G6
zA?KUlmJh+_ikTgZM@B8C@2q-C)gpSzba+Bpqs@+0d|uvI)GU9KY4K#C->u<s<pL}{
z_5=J*Z!(UOiDj)ET}5@z<>DO)3UAhRPPl%$S@##LcH3!bo3eJVQ+BUWP56;h2@ijF
zp3p39e&SM}$5}+4+x99vrJdKohS_T%^vKt}8k%Gs(KQOkFCFoWcz?jriK$>jcR0^o
z)%DHHb*9|KpfQEp{kWMN%*X{2AG-4PXdMof(9=k-{{1U7^+nFqJoTK*j=3>exrZCa
zYEtB^r1H#KUD8jgxd-f>Wfiio4t2F=PCA)u>Dtn@n(}^H;buaXfJf@SWjuI20km<w
zg5BLbr~Y1<Zfn_CW4y}8Y~IPm2aCizcl6B76zTQlJ02^v;p7y2@1ifYQ8vhdWs8XC
z$R+NoVEtQ}++VYMpN@$uzH>P=7dtd;>ytWo?sF>9yCOAiL_mGfMSIIf*+E|7c<3c=
z0HJK{Y~9OcPP@YN?ZeKm4-;z{;0;%0(@NP`MK{lP^PI+!^OdxfU+87iv?L3Hc{TOp
zT%I}>EAkx*l=bB%`do}y-5lGOY0RxAa<tu2H=X&?Hl&v3uUh+gY{53HdwI9ltY~R(
zCU>sw({%otBQ?g)RX^n~nuUy2$Vo&m@=v{{v>f+|L71l7nOKpp<aIuu3(gKC58^QE
zaQ(c^+G~!IYR6M_?CFUHzW74^vxjLll-d-&20YUj+hx<?I^L0@&lRtJJ^isv?j5c+
z)|BnV6)9P2v1Q7ezEuWYF~8Y<JAiAwh7YVV(@(aYzk&O3R2a|hv1U`mF}Bg0dyFXl
zoxaZRj3rEDhO~Txo4@u&a;5Vs|FH1G+Vx(x2;tmYWEFn!r}{qnbc37-f%SvLED(>o
z81ajAF5@8oe*fSHreRfYytwz@YjJw5t`;Sl|Nh`;83l(B=MJP|(Gxl2ytYKwi=?(5
zIVy+H2u0F^+xptas8!ErkA+RP>@3+@GyH){@_g4vA<464Jx<++?=GdbtyOgE3v4^#
zw0b2ZZ>1uR(Ex61QO6P;2mM9~t4rm{I(Fu+-KU3avb^L=<n5YTMqSlr^W~!6ACMiJ
zU|-f%PuytUxTcNiupwJ)6Mp}O`v4;rd`~8wP-7?>mkyB56`~9ld4)~!JMR5UnWl<+
z%Qse8g{s9&((?Y1OD}(L<QY*d8<_fPNX$**&M_fcy72_F?AqP_g13FM7qj6|dtb=G
zs}z@>u=$ZaiHnu8XM;8CXVhu}Ln<O|?|Z^hJmpiAcLcFxHV}iwi3Kf6xx$kj&c#*y
z`-{BNd`VfGOF%!pdP;qPsCm?+;qR7&MSf@WJas8IcI&RolV?-xm6mR+QF>Rp23=B;
z6&9RUpuKw^%a6NNVWwt-jVyvW8!G3Heu_W;k+sn<)c(53HrwksNpuCS1#V9BJnx@I
z$#m;fE81p~*2UL$mb|*%V&~bwRv#86|E0{+7v#=kbGQ)@qtbmnNmt&YO~d|@<C464
zb5%_~w!HP@kCt4tsiXCI$J={j(($L-Tk2oV!F}(j{vXcXJetb>Z6DrJsT9#5GDW4q
zP=sWv%&BM+nHq>>F7`GnDiSIob0y_Y<}z(_%1p=<wka7hY(ts(9as1FS<myV_5Rj+
z-*^9W-$i?0`x-u<^E}RD_|kY}qT7-Bhu*g<{-1!q4+D{A{8;bS%>w4)CoR>V6t@dc
z-MZtU-1OaLYaT!MDN1x$jBFH3F87Uk?`3VfJCfZa<6(DmZ+?&PxWRtSV>b9tK;$+t
zmmJl3^ktsgaYSpbiI|DccI3!pa5oq8WZYBe6ScnXj)if~hT3vE(3aV%z)$p(Ty?nC
zb7|WB>XoHTOxzKf5gxkQ?s4+tNil}UzV4e!J2bNW%qF9ae~AQ-h)YP?8oOI|&(#%9
zK_+&`WRLligUGWcl%Ru_4`tQjL#7AGb^g}9o>uN`K@J@q?~MCBOqDj#1V$sPp3>>G
zrR90UA(h;=v6}Ck0T)KQcIQ5N|FJW|^}fgPTlf0Q8hG>K+V?m`MAxQ_>|M8)oXX@E
z?D5jDV)Axv*m7WP%A6R@RBV00^PxDyjif?eOx_E{U*6yz?0Ei&HPg=}XNlc#|Jy$%
z|ICXV%=2qgipE~uFG!j^>h7BqY<xpY8OYg$$H}O-xa~}y1!GB>uO8j{{e#)zxe@<^
zpRP^Fc^YymM5nCf(;{WTK$(<6y3u}c#v>-tlyWm>bBamjwg+ad7o#&fzdP(!)0x$B
zqgp%|XX{OVvMfwiFuWZS-+Fwpr#R)~ZJuxQ89V-wD(4(?tp5>#R*NL}_x68Hc6m(O
z99-W>E)1}f(z{vQX2VDEeH1}IKL4pHS{<8ibea9zsQ&vST>d|cYNM>Se$5J}n-^f!
zpc70?eny4C?^nVqvLvmV^)+j0TazzaiD%nwqAe&ZX!ea8E79n3GHm#+e8#_H#-cy_
z&fPCxa236|a7p=Mn3l86)2~E<#*eRdppN_d*!>idW{#T@d6Or}X|_M|yr1Up%b!(t
zzP435URvQ|MdF4`DB&2X_v^pZd#lZNtdgYljdFi-?KtN9i+Kg<uMktT^a}I$h?O>W
z(pwItcld^#=t&fb7Cq?CY*ElA_r#|n`9p!p4N2LM90~P>LzL06XrDjS!$}K+j~HL9
z9or_?fGX$kDxz2yOMA~McId+`12tOUzF{u9u20{ny=I9}Ptrup3CL*mZaz&PE={Mj
z##CkgiIbe%o%{8VEaAy~2v7Cac5tc?`;Y_20$7T7Et`$edavb7F5f8-3OgxkZzXtK
zeQ(^ixX)V?F5OMDYW?o;&%U(@58rEwC0ug<ymf;}hH++^^~<447k<&|)y?A?8`oUg
zdFjw=Umt@X;-OVzfm+ks`m5mo_S3PZ>enp2g{R-OMkXfAV9J5;SyWad4}84>nk_JL
z+9-#ov90lJ$7Ef{KBG5j^X`UO0#U<YOo(+oT|f3F`&avBy>#kZ_SQ!M^+^MF@AMoT
zN#b08A1rHub@=zJtmLIgBk!Wg7iZNP$d{HR_d2CyI<FwPuVIKDgSrGGWAU()&`c3(
z7g13K#B}NCG+|^y5D#poSqe+D54^89oc>H$-lFGbuK)In!dqoZEHn(9%Whxz$M{QJ
zVswaXJC6fpP_W9Xdc4LbS55!gu#@urfl8_@fAsmN_xt#o24bXsnedIO#K$E>O%?sg
zecLC$@F=gZuYJ6IsctID`FnYrPvbX+!c!Z&#?I*KW|@?;2bE6^r`N)z1O7~ejsWaX
zxWz#a4>tgi(<dDH7}_hZ)y4#k+#U*0SooHk9mGkqfCtK%O~&cL-Md)K&3JkZo86|x
z4L;ky&Uth|%+=lfj^G17Gm2dR&8=%x*o3S#lKfS2?C78o?Ui6!^d-L686h5day{=Q
zIEpt755*ZvXkOK9hi{YF8v1lgz8kgZvUzJ-AH)%a+!kmd!pLXABE$$36N1yHPyfL|
z73O){g<GYD(>R~3xA98}`DJo7bZLsJWNNZ^f4xjNE%B#W=t;KP)H&X4$?le*1<TkJ
zp`L5=rspf;)^83q^j3Ud7ZmPCSNH_qzfPq^(&xv~2*%>ROY#UUH<=?8eFI@;(N_ke
z>MTA&kOD6PLmeHslg}`YugEg3xt(@e^z4@DA4f_0JShta>dyUKbn)C6VV?eXccyYb
zcfUWa-2X0fuRXKUb6Qm75u>?lwCB-8p4ISi&w^hNxe#Q;Z<q$sk_ho9ApJU6W`KIA
zAa<LjF#Y_IczwgjFl&DmJu{a60Fi2|;~TX63{-yDat=oAx;1`mSX5&yH?X;>Tb%dj
z#nbiI`^ck`59#>~`ycx0UyBq;?bA*C7P5YODDZ!<C4KiCI&{dq^7w-q5~+(}4V{c}
z20^8T1B8OjMd*04rHV<$XV1c4>R|WU>g(xs=8##~DVZ$>JX9z*=IwrP=S}~6F^f3Y
z+-T;4m8WW>Hsu>X&|OSB;&eJ8JX%(0Uf;a^rj6zeDcrjW9JOZ231ad)`ySV~?|#W@
znAY}QQ(b7(!LfR}y*!(|)1BSOO!u0jaN8D2??I)8$+JhQ#+-bVn9krAB&S?r(g$5~
zrW4n;t)W_J{*HU#y&<bsZKf})KWMp=`q;=lbSCc^8>B_mhnWN$oVT9ZVslMAti>-`
zaK>&iMRnQ4Axi1uO5ZP58~(I>j9e<Mxn&r9x6f)Z+(mj_xZZ}gcD2;GRep(lvW<LH
zKKRc6Fj^_&uvhx&<f(~zeQUYwUW=PIedCi@3erg2_emZXRa927-FxsrKOn{o>~}^+
z##6h`L03jE1e*vse#TjFBQ;2F)|X$&eL-Kp(!F_qd$p*c_jV5q=30g=Ysp_EuBN9a
z=HK-7R^;z7>s8QD6B`PPQ6AlQCxGwjg|U{m6#X3U+Z8jNzXDh7e2-=RFBf1)lQqn8
zbFIuBY2IF|RJn)0-qO{C>0hq(Z2AnB#v_}%0^8+uG!~>?UO)AiKG*U^^bfC!!iEH6
zmeC+Hw~g-K1ibnsdX^ezCv?^3_udQYjGy5swUP^c$g?PrpV4f_my)@#Cps{v$cQ`G
zHS71K#nSUj3p@8dKpKm7dGo{pz8MWOFC%DaO^$jNXc8vMIyV<3>IQE^fBvrQahHg|
zlZor0qGj~6E%L0>8WRdyzNwu&3Xv&ZK5yQ07hADizs`n3Pv0VY@5xhc0|moep%53R
zjxI-ElbOQpfoFt0b~}xw&0YCEw~^w{V;E}mgSpi1T$#|T<)+M~^5sl-lhUgvpN*Y!
zJsczZFmvum%a&}He@a5wZ7fKhi2Lr0YZxrMI<T45Z@Q>RXS4`@rzgWr`Zzk_0}Ea+
zp0ECT>$zCyx(47U%l|pRR8SyC;Q5g|{WxgWNCyi${#^;v1(`aKf)aj%u+C4}<Z=5@
zAe}LLZ{MXR_cudP@;85Jb}f|VTh!%VG>W<6z@a&&{4Bj^BirvcN&!EQri};W+;<GI
zx9svSJ$}jH!^h^P!|DlPO%vxOPixV3|9E43U(!kBb28G*pWUpIU8_NvZ|yi2Ggr-A
zKs&WNXohrgAvV@geVAL?O+szdDEyh6Zeu2+!BRP8Y5H#-`YOa%%;b<1NDNC!g!Bv2
z)I$-~xo4)pyB<zeYPv6kbmpPqslmZPxHP?d`H<&M92Xcz<NjLpOtia(s<BU2%@iJ;
zk1ccJ^C`K}Z{_x=o!eztjyKv~OfWN2#L_xDH@mUCB{KJ+ZEPZ|@|Vbw;q!6Xr-XYG
z)Y+n4n(MVj?Q@0ogPPA)v^(T}d8zY;@q?nvLh5QhXLl)CuOfcexsJ0sy8PGEZ!vlp
z8@OFtw>)^<emQ({dZGS6*6*|X1jn2Ip}B7=Jw0&z{Z23)`59L%7(#cr8@a5yP`5+E
zoc#;(+hLXC$M14DuYTCyv8r~n=A8X)7B)TCnsN!hmaMC(w!37K7HZZsyzko)Ai7yB
zN+P{gQ!aSs6a8$~g3)Th=-RmU;*`0Nxa7s3PR4@^@)~z1cb@(+Iv_k65Dn<Uq|hyy
z3dfjMN_6^NhD^|?cD%x8UfUpJd!O&;!h^}ldv@Q4RQo&*i?bizezEpZ_)K`m=N~dU
z98#M&BgIa>OA9^OAKW=|HSf|!nX|OM_M-B>9-b3p6_4gZDk~X0AHOTDW%P_u@+{a7
zXEkgS${*k;mOg9k`^iKc%6uOmklVUH*4)vew>f;%yV}3BX8Yl1w7i*vm#$NcW~11y
zTUM^unr`~RBhXvt+*~ml&DAg(-l*8abp1yN^`A+BV|j-%eW$jKnRHF>94zN1kg!6b
zD{B_zajV0aG!<qv5L4qr>MVcGV#E%Oq4&Les4~jhcvjwH=iASc?`=vUtL1YaG5fei
ztk`}}mPAL;K{C(&0x=)%+3T~rX-V8iE}l457T3GLDebn_<oq{Q)i+K{8Whs5l)1}t
zYjxb1Y8#Tn`bI=ao>V-0f(i=mu>K+ve&C+~>H}O^{QUf2ckgfn3DylDRpfRYBk{cs
znV>2=_B(8s9G6s6>y<rU<Y??{rV$*~X~D&zFpw0|BSrQ&R(__v?$z8Cf8O-gz5WNr
zb6j{2OQty(W2;=lU^GxJ6a$kxf?)@<nu~}<<K&zzRa_!uxX<%hN?JvV_bWQxRgPX8
zcY14ghqudE`$u8Trk;=H&8IVj;=-tk8%Vqf<qeinNNGR{v#z1<)<V&a78%F37e83K
z6gPGynj_l?2c6r&tj+giec)8h;mH?wm=%?}y$0$vd(OU!Rq{*FkcpW3!ZYxMyX~I~
zxszvC*S19k(8NEv<SmTek>!dmsThRU`TO^ehzz{<NtWwsZW&+T{_O~29{cW8M%!Hp
zJ2nkQohduSp!4?0E%S$zy;<Knu3S~5i6*3X>IEzHa~rye2xhkHbkHu?g;&nvAykgu
zmgy`LI#u**dKGD*;>%|Lj)Nmw+w4V_DQ~Vpd%kuHg~Xv`ka?nfu){u?vX?eHutz?x
zGXJWowamv`GjifTlhPf0^o1O5O)-wA3drqwNO_-^+2XFq#`bc-owfB>)%^CwaJ{pt
zb+~znabV^xg*@ty44<1fhaF9SglOr>lnjXu{&TkF<ae*}z{8hv$UYr+rh1rjoerM?
zToccAV(!IJcp8{hYQnz69yW5cQI;73BGW#i#bU8>Z!tAvVYK}GVEKe>=Ea@evXitC
zUY{(Mu1h*GZ3QU)`dywrlWS>8iXD`dZ{0*1tEjA;N92j`0Aas^Dm1Tyhfbh2+UpY1
zN&9|0S*g$2VxjX)cZj2@zT=V<#}&>DmkhsWX<U(ys>T>7a=a#w<x{z@zn<K$QSRk7
zCdHuoGvPd<C{g|U#DkK!hK^F4m$X@Vhn?Y(gx@s({acwOa_NKQZj;}_^;D@Zvf(%G
z1%9p692?zV+;&eOxAW=q_|&Sb<7+BsO1)+_QTCWE<c`IWN!mneg7&7ZyXBWRek=(w
zI3sWNx#L2+9=}+1@DVpdrqY<p9C}$b6X`vT3sxf9{qIPY(`THT(-y>cd}8#mogTIm
zxYhy3XbobPN48@v)DQWp7|HLrrt)E~rR8ih%al)IyzsTpGk9PnA55M$ofh>hfq#oM
zh4ztiyH|hFnQbK2iIlcYd&(F+GcN-nvX$M-*c<nu`*^t0F1t~!nukg<`&nA$y)$>`
zKD*ahVs@V+utH~g;xt7!HnWYX`yb`#)XWH)m0NMZ8?u<fzCd->7e~@UpG=!nFPqPu
zeof}n0VxagBIxO{$Uqc{!9I9@{@`qZV1!1^krgzIH>$CitpURJYg|oOlBmWa!F|i<
zyTnAp)T=7^#opdtIK)BOjdZydsDq#j*e@Xw^ijrX;<ak*Y(vaa$r3?w^1p}NtxDIn
z7yIG?R7_*wty$CaD>cY_E-_I%D!oVhf$!q`(X_eYoXz6v2J6>0P)*s4uI@18C7WHo
zxTX6^Bf|nWyJS`gSlmb_wVnTCW$jmV8FD_@hMB?RfQs=c;l^W~GX-Kek{JeJBv3w4
z51AMoj3x<NR)~eS`>RSDa-Am<6XlAA)=##JvRAd&ELm{&@~pejv&$}l)2OHFR=`vC
zl(-+upSTtquJcH*^0ej8Ydp7>slNZKjBm{A#_NtTH!`=Dz17T)l<mR-O5ZRinQq{)
zuS(9Q5-eFFN+G@Vq%ws6+u-H^JqThvAVbDUtb~O8{)l}Ld;?OaXrQLS2WJNuiHMne
z{d%Xg^faW-(63#t=7mKy;ZFpqH+-*^r*P=3ysqRK4O`okdFM411ht2^_->BrBaW>!
zr>qODiT5?kdN{>C>5I(BKBIM<_s$e9&{sHCNXu%ZGA51qPB5m-EUq!3kQ&d_R84j%
ziW+3m;hfT8DaFLZ^!Dvra8Ii2$A}Y%Kmj60YH)}!euB>t+hU)X2iz#tjuy(-9u~Xw
zf$%vUcCfXz1%*5NxEl!b_@9n%`?ZDf$k6w6r;ql;Hf66Lv(Ig)*e++I@jNmv(1!er
z-&J#)6-(De@0&k0V)AVK?J}y}2Fb=(Yn<o|=tNQP{3XTF>t*qF+ouf?&=Z)qO~!tw
zSe^tWi$@q3O}tlQ@kiFj>=7#BZyV>{&CECrq7J?4KsBA<$PSs*daEDOxorD0nrY*S
zTM;HL3SaMKGHy013b9u_-fhEB_(|%G`2j{n&t0)~piQ0@IH9h-P0>BKUsgNWNdAui
zPCr(qX;-GBh8w$%u~D?t=Fc8=h^E)sWvq%}7nF@2PoG|wCYc?zt8&U+H&&>5(d>Yj
zgJz_YQ6$QjgqTKn2EeZicC?WNuY|4~V(^^cVYN`(wuQAKBq->d9vrd3glV?O+ZaH&
z>22C{?$V_>q#~q$_;6^~t~ijlqQ_Rp18<>(HTqU>)RxKE?S75Qz3B5z_Y2vbOJ-1c
zcYJ1_TlJvFbH4PPN{bEcO+Rk+Q2NMw<)n5SZ_y^uBYjY;Tm0~hxWq96h5%KaN74dG
z7jR-P2agbBGsv(1z$8N+&jchzlP8jorlzpSQG(Que576+akrpFPM2D2rwZ8(*!Spv
z^SkJ~B_t|tlj!E<`ic*sI&aoy-r6!TE&0~exMpi;WJ6f(u~}_*Chb+Nn$&sLlLB21
zc;1FpD3q+sxdT^Ad_eAjBr(mb3u1W%;xR<@F?5)Of2Doj!^|VA*Lkm#+Y|msAbq0s
zVfE;Ca@Tk9d?BZ_g_`amy6}gB590p9`$mfIwZ8s!AeArCc4iM}A9=N@ndZzP(&6H;
zk@xk<c4W2pLHY5ruf(#j_pfv*T3t^KE;mX0n1B@lLMPF^du8By0~`jVa##;vlZpVx
znXv67d^G{;z-K2O##a>o+Gieye)GCJe_Hf!%DO6%t27wJQTxOHd}c{KwebXn$=N&8
z(1d@nBX;*6K>``6)VuQ5CPXMSipI%zIx&APzp&KuWZm=XpFeKTi!c=Gb4goQ84(Fz
zr=uV0`x+)^Dm*!5XO}v|ISOHN!2%wu*-B%dfu7HPpwnU1=!2)>AMiqnV2Se4J2r(I
zok@ZA=3l7~k_Wc1h_Hor$V*aP-j#ew;!)Syn*H74UG2+TGPeWbZqvM`cy|9uZ|_-f
zb|4i>Sa|8pRSmI7t|rAa=exN`QI?=$#X=r-4jy~y9L-63*_8$$NJacA+_VcSR>DZN
zb#7AVbYxcsl9<ytu1mNF&kCLggj=aH^LGzTOj)p&&S6fd7XDNz`dN00AI03#jr7s!
zU$ltjR$~!~+%ggaM@T0ppJ*}T9{<FbgMKmleSLf=PJT6?7RT573epy@WKpe$xlxb=
z@H)uFM@7F@kR*-1XtY4yPa2qgNJJ(|0*~eSPSco&`l3sOa=L>mZ8HX;y5)tRR=!{q
z`uJoy{0ix7aj|ZdVSO~qv<l;5I`=(}PkHLkyIZ-2r<?j4T9!?LMj0y@&XtR3j@N(6
zZJZM29b~;ZC3Ag$+<Yh1Zfx_kjzq5PPYk5g>}0s_IdeQ+GLb#3B<&cGNqunww7yP|
z+hD0cXotWWg^}4f7jYpkCH{H&fR|lS3+g;D_CdabV1@AK&`G>xN5xhIn}5p$wGpJ?
z!V{y!hYjWfxrX3_!(nGDn*+GeZDrM(9&?A5(u??r1ufzguQA8g`nbTy95zk|#7|w1
z8SPt09~a$8;|zV)$+@|kp)k`oblPr=G;9I13?~A#LVbPxc_fqz8|S;ilMV*!2f6&A
z(16PU5gm!GaCr3$RD+P2fc~3;P$QVqEVp$oHR0J$OG_iXHsSh!Tv%<ma|G}y*2oT_
zmxeZx0(W$1oTu?k73qbHN1_n*L5CX$p&DQVFn22INbt>0__{rST{aXVbNEH1yW}{I
zaIv!=R|dWX=J&1NW{eNLNUTPaw(j`_7hb!~i|D(3aQRl!%<WuZ_{!_a4VEq4JiDmu
zq6!gFwoy(?UUOR;^UpFh8y;6?BJJH7FwUD0H4>*Wu*h~%DpUc?PRG!B9Q{^yc5y_S
z1FnSh`u%%hBgTxv2tyE|kHFdg`t|EhPT74QZea~x#+o__Y>%1sidjCWg*YLoYd*Ja
z-?Ak*I+}(DqS7CK%_DB&Q*>E3<uXHND!9MU06neO(3V_D(LSUS9J;0KLQLRfKU>)I
z>e=-+9~VRgKWV<t>;Ibl=|_v8g=qg*f&R{qwL-7n9{k2p*ygP?x=XZWHR%Mg=HXT*
z09NoOv%q<UD++X%kj8um^oJCu>A?oI3Juuf;41iS*{=hA%q&hNvcRw$Zx=TygE>_8
z-cgDX)&o>bgnJU8T1fYop*?=2dJXPra9V1It^m3mxF3wO%>FW726H_XBJAPeVf1B)
zsx<4Ai)X@`7DQ3G^n9O_|Kd(s+uXCA`EIPw7DrAeSnvPjVsD<wIB3{=-Z_){I<ljU
zlO>MKBJIaJ7Ij2oyCNx`%bM?i4pYlD19{yo+qcX9&3!j}DDBeYE2Mng6MkYiXCJwz
zYFeq}WZPKP*g?XTCV=PdsfgWq2{3{K9baK@p8U-El@z*o$nkq?gF;Uyf3Vsw7s3;l
zv`tLxH1)T9&OGCSZ83|KAP=kGKaN;J8pbA8*PHzanYQHE+g@`wDQK`mlq{!Be;`q<
z$3`1EwJwA0Ajmh8I<gTid0!5<>A*CKz7v;h<@kE1bWM&Yc{IZnr&d1@&()-bCsKEc
z$`nv$4YRl+MT+TRO8o|sWFGRwqjvizQb{MW9sTGbl*}F6A_eIK*3&tnu4J^Mq%M)C
zyU}|!J0Di;oRsEiQE~EUcUBS2^EiBkNvvQ0%QwKC0&&;uCfM^6w~ZA~P?Z|GvWFD@
zx+=^_o$op}_<D1~g^S*1%IkVVHn@Izu*q>_E4RG0gYNv@vL{I+Uh1=k(Qm7dJlGny
zsj1MZ&hSgaSo@6AY8AA4S8E^dca@~bfr!v`5d*Z`DvL)K&)n_=K+<?-3SeK~sru`F
z%rV|(L4_Lq15YQ4|1b|sM{FK8)Qw^(><H{*B<*=P^J)|s?@%TjWjp_@#dK3lazJQ2
z&%Of9a(Yi6Szn^f*Y;2z^Egd#%+NNyqFF_lB|b%>wqVzT=t3qE)q9uqpycfG$K1|1
zdGN-T!R^s$iQ2?l_%vnBSSnh5od#Ks@22Y$L-Y4UO??T;dMCU6nlVRemdEUE{Wyx6
z+63ba?|Q*$X?Bh~N(cE!uB^LLy<CWiLZe!mmDNR-d*s@F4FjH2a(TCoUBY)4m_(q7
ze&s;)6Mfnp-f>;_j5%JXvEw~mPLEQVY!l9GugX=Vjk1wQGh*kviWv4q?PrnmO8BH{
ze558sx>9;PV~yXB5JB4K{_E+o6xxJCt>cp<!^0gzJPhNqn+^Dr{jyy2e_S@XL~7+$
zk5TF$ra2d`cO)5^IlM01bl*V0+4h#cQ@?BRV;Ag5=Q_?lCpuManP&f}SYwIGj*AQ=
zTbY%VEKMV}wvK;{=H3lv6?8dZY~yI}o!e+u_nE1X>YMq~l7n?9gS%;9t;#WyZA9w#
z)?)uqwaAa(b$ezUJ>G1WEqw_=F84~x<8txyw~{-a#av5Iw{aZo36Stwku4P#`ctZW
zH2Q?H;b~#=)R1)r-H~tO<@6@KkWP`zwj(EU*91<;dKRS0d^47f$ShK2$>gm;Yf0VM
zRdn!ug;m1N(cfHIRGVF%hsh_kg~UnG_pF|n54n2eUU<OqhD>GoyYb!nxg&>>r2Bb4
znQEdee`0{tWxa+@mmTcw|E%vU|7rib?fijLv)vN*l^Rp6S~~7#VkVort)47aWj~so
z71q!@%i_y(G*$OP`%n-)<9@7{1a~-(r>PBM?Tn00E5oi2z8cr4^bc~RJy>`aPS3^u
zbR4hgP2^9kT0i#b+DZc>cT_8JJC`GCrqopLn@w|N#b#}`YON}ts_`+QSPxQ29{g@n
z6k&0cu?ma~H2<pWw=h3}I3`oJ$5c42Y59+Sf{P!YM`Y$_3r(lMqWwdk`t#0>2dem+
z2%pev9$?a^283u2I%urTJ(Q_o7|XXJNwGp!-&18a>WPte=FSPj+t0*<Mm_57nKhTx
zG{rT`dgAAK^4_>UkeoX$z2AhJ0u=(l<g8r9F2bP>dQ95rJ#vRoYE;AWR`tBc$_q<}
z<p&@5OAqu|`_1I$*2M@WyA0dcm(SEkR2Ot^gVzyWvu?j$l(Q%I5A-cGVe$7ZGe6`^
z6(kLLk;aSw;i4kIy9#WE?1j;6wwE#a!^bp>fRsLb^6eus4k`&8zvU8ag3hS38peKB
z5rB{;At`CMK%&leZtmf#S&L!mSwmf2-3@Hh>5lJ<9w;k6+h@7g&O||PbN6QtZ!Mh|
zfmh+VSU}hIW)5<FZ{5{Lej|Ey{9M7Q)V$8_PMKk~lL?;-*6h119;O>_yQEg-v1f$u
zYUuO>*(=6YyqV+2${CiJuQ88)?BnDf^6b-iru0S4YF2RfSb_Y}hcKNGShwb}-6UUO
zXSZT=yLxOL%(7BDwclMPZ_W$)H0;E8uk4?s4^}s2iWhJ$@pUczVtKTe`fFX%EzAya
z>3OoQUw`}OC$c$7uCf-$`L*wcn{2ZA?SDk{MR4!?Ox`e3W#l8LZ|#(P=hyu{&p+Hp
z)cT~}hW2iC7b<UP&i=DKV$tWGw|5pj()vPpTghni_lunCSBo0%S)PuF(BL^fHpSG}
zqrx@2cra_!JMFZCmPe!_;}e>WY+%rMT=TErGi;M2$7MDwj;rxhKTuaDE0|nTcxEmA
zpw0QNq0yshfh`UfWK0zEYecw&?p`R4GojFe=)&&I*K!+aX(wx3_H>L++1CrjC~gaD
zDsasy`J(WJ$B)PJmAXe3&ofAXQxXkz1$h7BK7~Rj%htVTrP@}=@6!J1>N3i27b5xK
zVM2&qjkPm5`q{lcbg3IP7Vp~kk<~&2Ci~ZGEg5<<nSOu%swk03)nt?`j}j3Rcn040
z>A^yVPa}hESJUMx@AM?~oII$b$`+kkMR$~aF%;I_N<DY}wCXHR<c@=vuQfSSxi1l8
zNCQA&+&@!?G81z?OeM@~=;`m+xz)Ra!`$>)Cx+bldife(KI-1*SR3SVxM6|%=V|_;
zu)>CAk++q-CTzTVEIW&*Jy+PpPB~?=Q<yW_E)_(HfN%Ihbq&2sCg97B*J$4L+{qX2
zldTSh?0+};COpW$lD<!*_!eKX{py6+1s3<yG7e)x>$BT$_D!vWkbu9?i=!;5d)~tN
z;zgUpBiq8hEM?XvO6S%yv}zTkI}Mt04`@F>Z+QRW<?|WeclEU!kd{rtuK5leOUpKo
zzoh%djz&%YY%NiFYn^5%dos2sguqgKO2yyR7pF}0w*^UaaA^(?AN><PJCV<N#F)48
zrZC1AvqyhTc<(iJJffz-r=DzkqNe=BXau>NlR=T}RHElA5_4eV%g6X$?D$@5i?u~|
zHQ8^#Ft3~}lyt6`he=H$*YxW2IwNPY{e%;z$_&Z}wPZvW=B~Kev5p%XljxOSUl{g*
zMy0c((CZWThWZ*UbB}b*&<Ga8vsaXxlBS)V`(I^AI8dU`u_mPo7q^AG(#nrkR__?Q
z6W2@OJ~5_n&ikVH=I&!VlpoU6hAypUVsc4CVbc{vEbvKg>kMZ<RT}zm^ycw)nBIzC
z7=07ht7{&b#uBL<q5}M||DDtDHizo#LT7*d(IM`F_Y+}7%iE~nX4S8vP#L=-UcYU?
z2qat4dgSTxJww$Kud<k#zQj1&`aioq(UWId-f^#Qdesxb>}CPhPnFx`Sb04k6W+E<
zq%9Qfb<2A{Cxlm4js<Lu)5QIn?N*hmzAE30s(vLm)LrO!w+e-Nuw_z(vhx;c(EGFN
zZv~BjJBVB(P6p$%nA9z2TXj|?oH4*-q!XpC%X>6A`^WhZ?_JZL4?B~uN^X<AU3w?a
zjoJ%>bYt6zv5aW<i<ZO<;25t-Vdq^4aXxnhEEFVtbHAXgH9eul1xa6`)x{18Y`ryj
z$vfzd&X0XYF(REpW+~_FPwUus9z7D{lm(hqVIR)k?{==&R@DOmQ=|Jb9@33iKRM3x
z=d$s;3c@odr0+IoL-X1(h1)OGvef#PZQnSdcF0}5ywR<Sw*MVQ+j*&__Tu%2LD>=k
z^w|y|!-v4FmqDfQ-axPx+|Vz<8tsGgeWYI?`_apX1`EIshkh*wUpRmMuUZdY!hp*N
z%Pb&H2$rcc|InBK|0&FHkan{OX*)6yV6P2C<T*?-EiK<S{!v_@e?mqK)U)tsWar>$
z#y<zFnn1*QMQ6Wxa~&}f*r#Cb<q91!Ko2ySFm}HOd7aFjJ!Lxm7Z@05(&H0}WB2qs
zUDTpYq#sfNVK)2G<)VG7b%b(UjBm~H{VbKUbs(jz`shZYYk+d0fHn#^Dv!J^r~<>E
z;qugv#Jg?V_E@F^nu48#hTIis*#Y_9vbXoybL2=4TwURiap{A39h`3R=Y|r{<gC$J
zs@D_)Wd^CO*Q>(~^PC;<b~r%7@|18kov(tv8P<fD(OvO}zW}<W-+vpr_ZS+w!!rTl
zI_#ZKR_rL8=Som&Z&eNTHloH3m>R2e_f9TGO7xL0%8!ZAm_oXP=@cg>=bgPY5zg$s
zVu9ROD`~bfH7iypFnX>S{8BUS$Wa)WGMBL{y>)oj8qSa5C*S;=uXOnKW#j_DwE#{!
z81=)pm9WV`g2$Q&q;(=@!~rI2Xm22-?YZI(ivk%L891yW*T7_LZc2(Rrf?ABav!$s
zf|)DcBl`<dczA)c6<vnu9bqDZ4H^x(g~brAFOkgx9Ii3h*q9cEE9s6H7<A`oR27%M
zRs2F${l8p*g-Ig7E)(b&5!?q0RyfcSR=YfN?>DbvpuP2B>WT@MCX?@z$yd1Vk^40s
z^@s`=Q-7R4v8_<-N#ca;+K2QLSsjJXxuRKESy|Vv9d}fdTlZO)WEV17cr99v#Cyfr
zY`c6+H{g~D+{SzmB?1;Ad}CkpWx;GgfC~XtwzhP{|1>A+n@JYJtr@TMX51WGWv;-=
z5<Y4^=BV=w7UeJ<M7M{q$BNooWAxY12WS65SDl!cI8q;12_jExKl;{ebl(5@9^gjx
zsQ#99{)vdeNFUrWUtmj*@%JNc86w+{uxy@&o3dIX1MjawFK!*L50itJ7S^ke)l62k
zJ4A^Ej<`BmPT&2u)Ys6;$H@`=QuOM<azp*--ZuyTcpUbs+eLa|j@g;YlDb^^_zTBk
ztaehK7j;jKIg+zAjvrr<@DS))TfGe*f+U99vxA6W#&c)S`oL|$4OhBmYUlp_em?LA
zcamNK(^$0c>dFX}Uz=HX`M~h^kA6P8Pd>jq`x4Q$XuR3#fU)*Ph55i@(I*~q%v@dt
zJhjTNn`M7@J~Vo;E_dv)_)_}?6^gxnWX1)WN7t|(*?>hk3tiMswK4uIYMKc9#E7WN
zmo43`{;T@{^c-EicktWa5$59+yqO;w_0Kmma9@>v<&w{$2zN&K+AJd(00#a}cu3;7
z)1a-zhr?GH4s(k9{QL(GjswL3(BKSLep7NR!bg38Knk}9KYy;S47a|-qRW?Wl|?Cf
z<P$?o!bsex7c*tHI;=%WNQsF*BdAt;QW^6fXi^Ds6cH9t`30yTzW`^@sy*vg$Q}M7
zZb%jTG?@WPUjq-vgmm=Yf=zY*Fg4%Km(%(3F;d7)N|p_XWVK4czcrn=OJ7uzy@rg`
zE8fCH`Xkbw2PG~m_cSw>!Cik6URL?PoAk$WCu@*v@VY9k=1Xnhwu8qL8rkch(Z})w
znC*z!3Ri@|vVqLBh72UfAED?<a1w<e+IIkt2O+lAU6J_>I;uZC__J`K?Ct9U;nFrn
zxUR%=`ELvjj4m(%BFz7=<{&%N16I1G1!}u675&Hio*hSxKNBy1a^&d18P(WvkhR1`
zf4uAaWgs5GqdCa5*FUuTa|5+wLbj5gI~5=x=NZ9&XoY7cC4Y^gX~i?FBtQH6la2C@
zARse$90?E4qoPhJThirR4#MmgTLUr?$%FMOMtr)a)c5a)5o3=@Kz|0Pcq1Lu&^+WD
znu<ZjtD=lq5Cg-4Sq{v#!Ejl>nz6a%rNpK)$X67Xkbq`>5uUUQ1<TXREvkt+h_w7c
z<b!u?))tdvWPR%MsJ8Umc$eI&nlq&iH;(-%<33Wl<nsYjz|TBQ15vJjMIP<dlYv>9
zo4L4-+-wpS2**Bx&ZA^|`o#RTK>4Pmjxq89eXQttE@S~@3PcSn5Du^RmI3bY$~r!>
z5*8JOXW-$4poZn>(?ST2u@I;qeBXSar6kAT+Jl;^1uXL*^IcCzcJC`}SZH@}LSc&1
zR^U-EEFHfwzR=6fQ80&@FOf;HM8z~gg<{RTy~#S%OvgF2+MZvYsg9?xR_2gqq`u1v
zQcu<O^s5pJFx-Pq?=~WsJr;i%6Dh}yRhJJC4)DSiV~D<}fR7_QNOCaaNJ%;1<kkZ8
z7MBC&ruFb32N6U~Ma3}RH9IM3H29*C9$~JjqPmoyVr_1|r!`tD>CKz_KEl);i&cLI
zZCdb0#_|S%FH*mR*}|%SqK$(k&=TB9Q3Lz|D7<5A!#;+6^rck?w{JeJ`*7@NV2a{d
z7V-t>euqz^BnF|%G47pEu9En=f>(7T1*ARumajRiTP>TU6aI{L=$}6ib?_nA8QaPc
zq$HT`Pfc$f?7PwQzLnUZY9d?VA`MR|fQ0x`BQ2?3r-ZeXky~RT2478|_zxe>&**_4
z#<hNRl7FmOKGq}Iv0No(B63#Gnb2uUz@DB}apAEKwqR2knvsL{ooOC{%5)dc4gtAl
z>2_sp{;k@1;{CZ4sgUPwjh`*pcu7a4p7k+!aw6yiZ7`z4f5RBd4S^myZ7IhlR(tIL
z4@t)hgUj+!CD>!Y54bX7k2PUs@eSc-yHB|%JK65fG0e7)!x%oqU(7J4#E9N>Cy4SB
z-pTM3H2?UW@Dys64(W%`5vp*($VDTOja_aJDfg#!?0-6}J=b~1RM_~app#4Xohb~h
zsh~T0_lP9Y&TZ5?UwZ*_pIhG<JjJ`E7)aO9ZeFYyd!!nx0VlkMx3v>}m2Xdm30T@f
zZVhjmjde&Ws{I+0i5>N#fk7nPzhTYO9_MgO%G?8KB<&$6Rp1)~jU{}XCRQxKVNXRF
zW!Ty45u2j3b938A&kV114L<HUEs041M?+fT_H`6X+9&0Sw=;qRNuMi!Fbm8McIaqQ
zOC)5*EQgbISf3n>qCE>%qUal48vGXNT1F7dPrUgd)QvF|Vfcw;EyColI1f~=-9dYI
z?|$>*1^?m0&oi4XrKE2*4Oay3#{|SIcHHnPkYMcp=$>)veoC!gwF*QZbCglAg(n80
z(@tFL?_)pMR0k;jM^sqj2y&LNH?Lm5?Q*L-?6!tiB`hawj=nQ}jJ3aia*2{4)T1<a
z&@HcY&y@i3U~OtpFOTD%ytWQ&zeXef@PXkpLId*Rh)(73_4HQ1KJw{Hm%?#swX`@!
zFBQ1Uv*iJ*E}lBA%;mou4(2}f4Gr+YFfo|JItEK9s`KxCvI`h|<H5u{RgSG1iH`bj
zqr$)*IQ_P=rUsVK;`@Ce?<aiwu|y+r8DiPjF|(LU*fhM^z=p~X#ju-YY^x;=BMxxI
zPbj0V{?WM5i00Qoi4t-2go4`rX;S41YMId!shV`IV3mq7$7%cFq|x2c^-eA$`EGk-
z0uv`(3`=@)d_Fs}njMHBv=+r-t8zPHJ5hw+D0{qPcaU$U{QmvFFmd}EvaDYkz$<?#
zwr&BN9VUg>^$DZy<p=WHZN$T}h?+mLuN!q7Ciu=>cbGu?!3G=p{P|%N-s!D!fW(p1
z5kXEw!DQ2tax9@yR6hgjBjJ^fa*+>Vo9gOic$6uD1DcArjvg(9Wf3N@@J1sX$>E`h
zsS!x01vtB?<8jf`oo_0s9Ps8Ho*bQ`bSVTV42uLlni_4=WNs^qrt<cYNqmJO-9IO5
zDZiSl(sC9D@;pwR;2pkGL-N#zAsZRxJEna0f)V*iSXQu+e{djT6J34}IiP06VZqcl
z#s}Sp_pR@@^l{3qvh$EI1JFuOPY>y_Fo?fyhPl_sw|{~fD`BCXi^>KL?PXO}xd@j*
zZldw>Tr*6#>2H#6O;ur8R0I_fwca!$$YB8s!%~n);IO$cTkCQ9)Ts@uteL<6pc~;e
zC=5F@_q?Gd(R-C6>q$wEp(06CbPh{$%mQk_A<Abb)py!W-RY>M_pV*Y6H7eVYcb})
z=Et~i=Vy1hwL~*2fOYfc&1NN5`4XM0=^xw|ou#~u+QCZ`UgqNC6LYgYhKc~W_q$UM
z5}rRu;>cd8LO9XCgNp#As57g8zk08-OmLutn%I<3YB!Z9)buZ)Cm%F=Y;iN$tYVDC
zuJaJX>C@&+q^>IpitO-fXhajqFv`;MJe>AXPU3iUf93ppu_OBeDQrf6zLJGxra0Z@
zuFU!Ibxv;Nct|I8+1Q>#>v`dTFOR1UyI2a<Btyzhh&@EVWAxnwmAQfXNV<}xHLG~(
z_3hlLn#)oUSU?BLu!Yjq>mL+q$Q~;Fo97|DVn?iwjr7_|^)VekI_+KFrYB6h*+_g+
z7GB><*GRwFbNk+vE#2?(+YdS5Ut2&rOxCMztJ!IB(s)e7NN>iFa;95^G_Emd`FTS6
zMo@=T#%Xi1z#Pk_c@4!KYiZxUZ1Ge1`6~00yV-%qymCrCB8*}*vB%Go4zAvgCuU>U
z9l@s`o^&sUOtMz-Jvv#rH#6py#-T9Tb2c2cbWE8ymAA0_no-zj{(YdZUHxu2c@<i4
zueMESWMJC9(f18G>5c@aQN^yp3!BfnlYR6bl#rjdh?#xfk<jKl5ES~b#W+sxt2HxO
zSaV`H`Rs14LQhw^);2=6%a3URBWqF6$iBXX5l@T?dm0^B<-XEDqpN&5kz0`S6$j6g
z!`2l{6;VDP-sU||PzXud%$>=Fp~1mO$ROO?#l*(29{|B+U|{&$yZpc(F|8Z~QwY|K
zFmi?s%K<pABV;k~w_aFej1kMHLHWYEqXSRZr9AVq-y5~Te7ZvTw)MIZ9jE<avg;TJ
zp|K;KFPYv?2OG{9N$W_PA$Z~E&I!gX{z@*04i3IxXxM?BaAINt9xW%s#QQKLr609n
zxaVwEX2eq6A)MS3_LRD7?=CyDFSX1vQ~x+C48_v%rAaT&<{RH(-LQd()IgVnh8l*I
z85WKEo_s+m1qSB9u#+f7EMc<^)(xUBVVe64i)cs)e(7C&{GPzy?LxjB-A`yyKZ2Rw
zT{vU0HO8#w;~+StYtOu6)*84}JY|HF#TEVMgxS$`MTaIXy_#R1o{Kirbvk`!)Tu`C
zp^x?Bq7xD)je)(hj4zU6o)NDSqZm1-v$;e$ykWHxR(eF$ysb0$*@MtxxCEm2--m<?
zREqZYX>BgUzbs8DugQ{6qiJ~xS0WPEk4;QPcXV`5js9k3D$LxmQz9qzR&ECdWws$>
zOq9WsyBk2tI;D*Cvh|u{k8~17nv*;Kolq~x6jBdd7EG8IN-jMg(wMz%?E65?p#4=D
zw!M=@_WEA^j5czrtcDY|X2jJmJOix*fQFCn-aYjBo?%tl)`%G|F`UP{H6b&j|6WZt
z=bKPQ&hrN;MrEh6qelHppL5q}t@)Cv|DXty8B!OpzyAlhgaT*RTCKNU5wi;$?fPoh
z3(-D-uz#;Bz-uM@CgRcclm$`t!kIJ2l;Le2(%T;fM?HjZ1(l!I)7vXYWStVGQr5`a
zLdgTmQad%9j+aZBom&-`vTOy}oE8mH7(Vb1B;A`yYAxWg82fFrgS<&}@Jx8y>!c@V
zb&}U)EyZ_8Jse88Tb}*k=J=x6Z`*#B)SZL2TFc(5M_j$<+#jgB1P-|v=hs*+E$%iv
zb;|!)qu<eJ1ZZ!1QfEHps7Ct6#IPiqXQT!8`|n!iw+-+aYHn&;M-Dsr2C**Pe?U4<
zn+ZL-1&F7U{<8*;zNwWa#L>ta^Zpt!%F+b!{k=6Sjzi<Zrrh4QRi{i`Q=(-`c9lBc
zzv(jL`fbDBYR6E?+ubUOXP1P=GU;)4`(1NMX*>R9@Bhg=x^>LU%j+H$I0^j1yxS@(
zD&W!wButY!7<h8`xuZutZB15E&V=qyZuuU(Sop3cwAA8IxF_j~-uJORJ<^5ABfF&5
z=Z<faROoHWpAi~u>-wbF8RGtUI6?QRtI8_Z*mVnU)5bdrD6w9=GqV>;lGmhMmWn`u
z;<IMCyIW^imM`Xj=XwS9E)>>!=g*sDn}WuQz47+I&i9v%^z?2>MK~2`!#CvQ?oG}2
zF~61q@h;oe1$ItIyghmHkx~cgC7MRKgyDrz&SgI7beOLr-ji-^CikhPVXPoydd|`@
zuHeYmZ3St=PtHl&kDd#5R*`fYS^qSDuSjQ|eC0d8rytBCdwFc1Gl?=-6JeDp6<u9j
zNThP2$|_*%()Zr3OG=wj_Y}j8D=hq>{j8zk$bbeq_>;=2v8h>Ehf#prHzQD?l{q2U
zk<=ygyDNNj6^qydmeH<(Vdv+Hd~zh_bchkldIcHW(dgF1?EIHnh}a>JB!RhwP*Ha)
zDdRn+8}|+{7#xpdu9Q(aA@|36XNdhE@f{x!HhGj6io|opzdc$z?|<^$EB}$iLrZ`_
z@d#Wr`o-<pGhRRM>)l5i@-5xtF$km-<M>?)XYY`ML7Blh9!8}F1r0A!<0G8h0b7DZ
zf{qZhlL<#AhHse5hS!QMi?V%*^D0^OL;B6-6GC{4l=5jtS3SK}U`nkwr9Qc0VTJEg
zO9;v(BB9!#7tK5{RZ+b(6Ren^y?~M`g1Rd)5xLi>cfd89a9w6Nf2^X*sp*TEfPAzF
z6N#<;*3$L#Y|tzP1d4}_OW|{fmChIq!kIHgZDm%#@>pz|!CDA={Fsi^t!QK#p_@cN
zLm=|eLCiep#^brZSU|2~f`9wN7J-FHL!9iH?VYT2oM!M)?FJsB5=8e{eQJ?`E?-|c
zmcOzO@E*>|fs@!HM|V9M&FA>ZP@=*8ci-o)!FEFG(pl1TXS!g!TdIxgN&Z0<uS3`p
zxcya?ltcFGGGuMpM}MKMC}~r(nB5vz8JuC2*CCj4+)-TZHPi3n26&&mSotq47cAY3
zkcz7=h?TO8x&pVt_tjH_QvE`>o4)_6zl7^rAf9%A)!4>|jh<MO2tQD8Wf8rOb&EK;
z<6pMJjrH~t`e1NO)}#JIzXt;yP>eXiW(9}U(Ej?C@hI|&{2y<BRwr7!5+sQz22y76
zx7%G#?VHC*q?*fp<UhrJDl;8aGPaL2ID7^0W?lKT`p;GLW=QvCUcY{GMk^ZW*BU`P
zqf?NX0CzYbtje2tc!&)YSShgu;yN0;{k{M^%Ooc3qX*(!fcqc?8iXGxA#!kkp~Q1T
zei}M*ho4nLcflhJXq>Vpb5Np#F5Cv7hMmF8_6qHj?$Fk~FWa7mg*l-_#WM%+75&C=
zXF;b$I?7e>pV6`6&8+a_o_;v?nm~Ps6f1Z}!i<g};Gi!<tXn~RygB$*7z?M>x}x#L
zxdG0Nun%BsBj|1M)Vks@F|h^0de*=|c)seL7mmuW!zbWKu2|7idy?b$eco;VQ%*X4
z_H8an@)k*(%Vw8jG;-`*i9|Rc|418+S(*|WWCD9B#0Q<-Ms99g#-G^HHf%d^v_%+a
z482$$9P={E)&h}7)vc_IXYJ>S9yA|#^vn@e1@}4hWkB%u^j0Y!LamOhOXOAw8|FN7
zn?MDDi?awhBFMlg=5?<=e4qyJcu@2H2*J=kxmfv@d3h@Pw`zaoHEafLdHjvgnh<w0
zce3&vN+&6U1yGVg6do14dUX|;f$}r>Xg+;<T$zCR_wBQPBZRI(c{3+xIhAcAFRy}a
z*HM8v(1LzMwf;{;b;qy&MpRA7`VQdU9y@TH#(ISxMjxd3fa4WoM2LKBY%CEf3AUoT
zoC(%TPy^5v4|EoIV4;Q!V$o&fNCioB>_M{UD-17~$-8#%X0JnscJshClgL>(KUz+;
zg82Hm4Xv}7K#qN11r|cnNIidiqTA!i3*E}a_BLdq&@23{Tu;4t*9|xaAW98oAd~?m
z-c|pFPOkn7T0ix{qTPQ|8s(&K{EHVyvwq=JE1MkHh6)g$_aA7o#h;{!+d0LumzDS!
z`ug0!V{E(&U!nDA1g`~lU-9)Y`h{=uvzV9yD5R<W9!SI-9<~&?>eZjk0pgcgTi=z2
zE|j-Ca+I(3E~x)-(OZAj*PrDy%O`k+pG!(suB12I#3Tsm?86cXD8u)xd752&_;(lA
zgYSZ$yqNvJU%u|qPF`DLLn0NJW_}qB79axd5tHj<P9(~VwzJt(Rg57WPnYUgP|Nxq
z`7Fp$47#N<L*$$R0`&QhO?U>jA_^ks-mlP7#x)SHF(9OM2%R3HAz-N0Oh>TlI4eo?
zr@1rJV|BS5RLNAVlIs1zrro8FIMZ>LLCUm5FxHSIlX$&7ebit!3R{y5tU_@<LxuI&
zk!hMt;M{`<NCq_R4EtPgFtJJ@`J%b8F>j(`KV-`Sugc2QIp1#Buwj<~G9?^r&~CDo
zkERb{$ebn@86&pjBl~Wuq8Zvq0mN&<wvg^<Ofq03qr~;xEJfxCL?{)|&wm;Bhe4d2
zA0t)-NEi?wg?$R`Z@c|Gehgp<(NzSKkU+nFDPaXV9iu?_Sz?Ln@9)PBLjKicg*hKG
zp!k{T0P3FEeSiLZo4`I15lM*o#Ev1e#AP_<<2ci{<E#$_+3TLr7z&v#r@*tScJjnG
zgi8>Z8zj7)E@SfgRxSKaUPXvcf1A2-%a+foFJ)zd4gZDQA|fL6ang~zjT#1ILJtIv
z{Re*wFFV|iMf;?(bKVl5q+COk=U2sGaoTq>^TJ9Das|-%z9y4wnM!V;=R98CM+R2#
zIxg<_V1pS}GXyrWNkNVM1<^%51JD~ZTg+;tATbV=2V#DZ&6%xv(e0|&AH>e?9HakF
z{0#s9&A$1+AT)n2N&B3LA^1$KGv#as{;dagy_ln_1B>dL-(oSNBSs|8<MLO^g6oGV
z+Op*7m87F0Ca=lKa%&OcN`%R{V#Nh)yLA*9K+<6+vAN=EU>C~G!~U(8e*I#S0dYg1
zbT({^lf2nvVrB-x0_5X*G){o#n23D9?f_~fCQDD}FKt`DTI$ylkTQct{k~72R2zG7
zLYV`4M5VCb#hh^D($|>-(z-`&N=AG-*s-q;pydYsb^7$~SFl1yeko_D0@_7DQ`mYc
zSPC%I0+fZocP(WcC@|WOk8X*>==R&-ZQynQ?XCya|1Y=;QGfUGT(az=lk(T9P_&tA
z123082SQB00+U}Zus+daIkh46T+}F6{cobH!!Qyq5s2M^vBhuDbulmy0=M%OPIgM3
zB`+nYd^5bQGhk^Ptlx_m!-<LA*rs8qiZng|i+{A;063uo!RBN|`^bId7PelbmL9P9
z77tk7swL$mt~G)Ayn6>{10c@&z)6W?Tp{PFb!?W0v=HfDExfn-_O<>jDylM?I2H-a
zUpW0$EB!4UbBI9V;g-6lJ1Ce(@T7uVkEvnl3RG)`8X9YpIWzn4okH4xen!FN8c9zm
zNii;P%)pL`K;N~=eP6?T&9RbTh<GXG@-d8L5sr*tQ9w)uNX=6^>=qSkrbCF$V(tmR
zOM>K?%)VDpaq6p*rJbZEft4x^eCCm{FPTWjj#nSE%Df}zH?Gl6DaV1Tlh{PziTg7^
zB4G_;Na#Gp6SC_j@FsuBWrS-IUPo5}Y%5f2*_UyRU*5CyvNQ21w)^pk#-1-HNNZ~G
z$F51@ccym`CY&huNFc?Z*E*q4deoU@_98cVBYUV1enP*1J(KtatmnuH@yyZS;|;t+
z*gcU*@9yuIA`N*SM6I{4)a$zw6{cS#ekR-t`}ot8BQ<OO{f89~*2#HVtns7Am;d`w
ztT>Libm0gb8)8TPt9d4660(4QUt2J}(mvFE?iVEhU?=u1MG%JeaHN4TftM{9q~Dl|
z{(jd&R^lg{&;I)p-D2S>(mU_L0fwVT2z_Aql?ligN%s&!s4cL!k8A=Rk95{&{FOV4
z60AJ`zRrUUA`O}{))!E_Xrn%2h&6>w3~aUsCXxpGQu~U^KJZHK&i*J7(35{sHI}V&
zVc%JV6p4pHcA26@3)Fr5;rdLNLk#%Iv2_C@MxJi%Hpjh+JY&{O{{xPjpRqZKpJzp`
zOW4WXc}8O+Ml&md%6|wI^riFZ_G!C(cK3oTeQ$;h{|`mQs}^Qb5v|NY<t2F;npZtb
zYv0dr^H*&bJhy7Jblvj9?BJry{C-;7Nw1YW$%1gIhAZZ#O}!%l@iffci7+E2rMwQd
zT@~(^gI`5^OLO@{<GNcQ>NMB~-6Nx(J5dI&XJ%&pJ47#3@G8>Q(NR^#8iYQdJ@D!C
z<8;;#SqMGgMT-t@6$m?2vCA<=$$*}OUj6U3PI>dTZ380#q<B``7HNC-`TxDRp7xj7
z|26?QwZv7#e@?7ia!2LAmB<LdAGH~9`Tu?W=NJChUj{pkX7|JMQZ<(Ikon`r)s{B!
zlTVbWicyUD7^cwib7uu++UV%qK~Zs;8bBIS5~wGaQk}m3-wXfE8M!EmnD|`37I-YH
z`g38_ja^r9p__Gip<fZT@I8O5P&7miVQegk<St=h;X{W$Ams!aH7r$8K^@vW#O_bL
zUg-SaI3;EdR|)_fYlR=u=vfO%G0Me=pdcmXy1F`4bXh1iP<&vSn`*ph{P9M^{hLmh
zoS`;|sJ{NE`SIh&Sn2?)VBH*w4OD=4G7*?7Qk#pA1GEBm{!l0*Z3QoB>vjUEr)^j>
z*r82`S+Iims25z{I*%KHMB4LARXotaH_rMAdyWVOMA$D;C$KOxQ?W3@@;Olo9lrXB
z6X7@%BJ3S#mwOHHW<=4Hl$H|K`yW0`fpU`#C>jpoXgZN5qYHD0kB7FchfoAw-Ox?c
zg7uG%0H_DH7%Xlen;bO%%3t|K`5S(?OEbh3A|%A=;?@RW+37lY3O?|ymhQh2Gm)vW
zBYC^U-;l?yUaZ3d1gS-gC{ORN=Va&Na)vM*!>+@(yHI)hnj?+Za^(^*ulG`#r%%Is
zrVJ#a`z$=)v+S-t*@VO9CWPub$wnOrIm|ftFM|WSH5eRb7fk>(M4|#kivc1GVi7l<
zfu=M5Of2TACzLTqS8$z4=_~J~^!lUqh9v#qkt5+guqwyQ0rRa0!pR*?$K&P=l7xXH
z@zRbXnuL-?GzmXdU$>!ZN&Tz3LwBX2vEvmk7PMkA4MEUy2t0iBi2J~0&pyCWbQB=$
zbwV+&#a5330<7y_`_gx!C<8-5feqZ6qR}mQcw5!yQM;A>y3a*WB#Bpi<NwDdK_KD6
z9PIW5=Ki$VY*_8pF`2@&5t^Ri41}a9-1@nmZLyox!`4Z9Gc&}Z#Or7xrmrA)of2^F
zk0S3>Jty_Z6%rqK#PjoC2204qWpkdgrLD`cV|Q$u(O3JFT|V%mug^CIKNG~$$mRbA
z`>jCr2~ABj=?EqdL$!kT4l}6lA3L<g|2{b{4hu+>tJqul&`q#DY^+0XfIBbzZ*MU4
z?c4eBFGTjAqoWjCYSHBIXS9TXp<|+=I^r}roZK$|SD%mqLR0%6@I!Fs(wcQbeR{!q
zNvUB)OOM^Zcr~awAw~J%UXA5V)4;w#vX?>2hI>k@{_|Bo!v)2xI$T8=Rqsbv{`P%3
z?jFObrMS;ZGr$gbg<buJ0b4$Lb>W4;e?z1#uOasjg^J!_1i^~2<gq@)^#JY#cz8kf
z!Dy_?0(Z${CSD4tDhGG&^p0}H9!>C4n5i#a37ItU8j`wR^&E3DBq$PH0{e|G^1o_=
z|C8u2tbp9fzB^33d-m)Z0GMxJ(2jW!qRI<Ejksv!bWhUf(W4K}FUn2OPZ1fM7@OMC
zyN*eT<!R$SC0cn<T`&_yyv`0}ycR4k+8}|brNp6zth9y53TyAVZ1TOR?2yeg*rlX}
zyMKEGQ8p2StjDK*TqhbYJm<J<_gVR@v)$lN05q$wug}ua*$I({jtEgj1TI#K4Ct(Y
zGr%bV55+cVYwnw0Q?4j=pApWpX-(TDDmsed4t38{`$T+K+}iHn;?J!1>Q2n0+2?P!
zAk@8Gs(&ZQU7YYrM~8OH$!QkRp=Jpiw(qn#unl9xLt9Y|>W*}j|1(V7m#7rm+uL#C
zF~dY!G+dZx(7Wz<g>raJXn+KlKO!%{TXrq3cLAotozo7=jn4pj9-z~=-fZ7T<gs-*
zm;FV<uVBzCBH~Zvfz-&4Sq-9{1|5q36@I(m4oTlr{%=Fj`H|<^-*%v+jkwgTd}u~>
zLTG$WKiJf24X_Z_^q!Rdh5;_A@H1tQ=L&Ia$;D#c2sRT&j$!gH8MZdg&N&Fq^!43~
zOS+keE$5|lF{HQVVo~LAyzxH=;Ti4L2ex53%fTYjItbx1X0CU9cp<g&B*_*v=}7-o
zbrbhcp&Hs6WHL`p-R>6s8&B}LtLt*N5&WwoBTp)0{+`P=$c}E>wl&QZkEH1XFxae+
zV2$%8^a}SCXh-2UZ{X85Y)7P1jE2S-_8aG)VP;79HZm}%;#sPe?v#U^)zUNz*dX6T
z&P!EYWTh1bzi(=Ttp?HN%+`=}i(df{JB^x&HhS0X|81df$@UxU;?eBe1ZWSU0AgOP
z1`#HnnRSE>x7xo&z6Qtvcn!at^Yrw@Etd~!TL=eq_5)@yZmL8!s+RokXDLFEWSJ6y
zs&(dawq2y{3w#K9VrM6;`o+V1)Ds$OP$J+i4k<k`_TNkCOaQRZQBdBdO%6vy{a;4O
zsRVQ?6xk5nW)CfX<p>rUOni|G@UP9Aq^v$5b(}VeS(o)af`)PNBD2d`J-zZgg7*rb
z6l;+ydS;MZFs%UYjFM~NpSRK2huYD{R>|r(OMg?3eb}bHFZkIraAoM&Yg^lR&g9{c
zn}FaPI`plLhhhGas^I(uUT$vgzm*#$e5QBwp-6FOu9E~Zn0M|hY2&#=ow|8l<Hr40
zITPUWpk(v$S(Cu1bL_^HvzwEX4BNf?_wjzUZ5`u!v$M0HS?GVX2)0?dkEB&hSiAGy
zZ5{r5S8)<+RMH(+Vq{0MzDET1863UpTx#hkDsAEQnyCo#^7amlL1FmtH_ls|Tc0%(
zUQ7S&9ye|I7C$YlL`y*`)MMEYU8?Rv{QhGmIDL@l#?Oa|I{y4h;+fH-y#HI&%aQ&^
z3I3n02%QVDTK#>UC;k8V%MY|s{A*9w?dJ~BMv1k~^TCT1|5k3K7yqZTvk%MhZsYis
zP_0RL5>Yfa=B1cYUP?)ZC}wGv@-m^#Dk=)S;YOP^FRi9>lPxvkmQ)fYJtj(+tWfGM
zs@+d7L#-6m^SR27?RXByw&S_~ySwhLm*4gKoxkt-J-_F9_8=Zf7-HJSN?TN)=rvuI
zFK38LfddFyUtOp<qDf?b>vjA!I*}IwWSkrwZRh-{(4IlV)b6_za&uJ!X3iA*#}uqJ
zd70>tKq!nVAbdoQle!(?tGww?{;qi5!pl7FhS3ytd40Q%GYk}A@2|$m9k9>>=W`!0
zjh0AA>SPvMyvaiaRH3{hM|R7iMcTz#=yu6~9~G`-LEGb?YH7(&o^1Q&`+c-vruz%@
zH;bm~$MfB2LI}#wJ-U5gSXetn5=c!x!>;@I^XveGy^9y$wd#1*_Z{e7i@>&&H7~)k
zykzY7*F(&W5%i=&dwU}mfvAH*%Y1J9dL#lYvWuCwW@b+5naDFvMJ`{oDBHs{Y5^Yp
z<bIZoH%;^k9(@`{gACY>(09j;%dfYjHn{jnx|XYY$(1Cl(po59rzK1JeE?s*rGRc~
z3&r+V7_8@RE#1Er23hra3O9_T1jK>IUi!XMSn+46kexND*vw;VhP?h^-^OS2>Q2#m
zuY+L-6|3;1xD2Jc^^Q>VuSU7IO}HR!!$yUlNKRhtpCjgHw<!~H>T&wIoj`eA=4Fch
zcR7K*?&k(Zu^6*jm&B!|6}e5?a#45Xu%N4swEHU(Q=s_P5_4zeM8%w&fgs`=mAZQH
zf_^GxZj;zvli)1a7Ln(jEhSOsi@AxZ9Z{6^Lac(jSRn@|7+G4nignmZ-A$9r7bzq=
zudJLn2-k8$$PKp~^UGf<<}BF64fHtnWm4xgL5H@q%V<rdjoUT8W3n_$F85>t&`~Fl
z6k6up{Yy<lWe#&}(}F%e7rgbsy>4fn^<F(f=LIGe7Vu-w!B#;cN-;X0)N~{&YOs#Z
zWUn%d{40%b=QpAqTYE0b{L3uVgMCg^t_g~Vo1&0KPCZOZq0$!}dve);Qebbtp+j#r
zB%wuGFv@H&9n?|}OZtCv3L`I(NYLwxRxEwkSy&qgR4+fZI+K_JPX40bhnk*saSjQy
z9$X7Vcr?dWMWthjUC#{~!!(}q&XER0F7sdQXFsZtC>xI1(yd-yVEIkOw{}fz9`J#$
zuP<mvS^}qh=I76zm6UH`%D<5OoWp?n(n&3JLX<OuI6Hl`{?ifh1IK4Wt5wt<e@icH
zce}YH=xXVgOV(g^+@2l~M5g*cCaa06FH<&F_MHDK;yI@nDEHmFcEM1}EVt1)>4tYP
z0~z`QI1{<;QO%1aB`ItumLf^J7bbgLbcBf*GW|tI-~_YvvPTHam~E`w5#K>};qB#{
zba^anY8BhHUaw2_R{xN7%66d5*_g5@c)m|lA9feViY{=b%3FKIo?(9!#~P9OdI2dK
z4;VJ3J$dqk{0wtjM}9|JM~xvCST7p(l&+wP4SSU+AjK_#Q<9jOr4gA*OLIyngy1q7
zJ2ub9wcD)`k`#|sj(lHSd)oL)p3||ECPEscB$5D@1|;sd@#Cpd04C_1LSxdz!s6Ff
z+JE;xwHL&78Xla>{pow;$usbu{hGv6b_8$p8xp<dL8r>Ar58)94@YO5Nd1?o%<K8F
z>^!?4w+}AbJN~2n%^_un#)Qt(KGa;Jwe{L5-HKVAu?xned=WeExcd*G8u5{9XYANz
zray4CXW@klFMsT{+C9p{vqq~uV7dPETdQkYOZE<{`R&oB88lMyk(E;~o)l-X3J$_5
zvB`^IO&vPEgo^C}1fgHo?lPRJ7<{o+ObhO7A(T!@?r1EJn=c5?2fW11=l8>1^hH-S
zd>odp_Idw%&X#P|4f-eBJ3B8%uUURrOR&9aF2emc|M(3z@V8g69;@sjC?4ihP9@w}
zMNsH9_UXFwzx~J8kNec%MNuj~#6qifQ{~w2*hE->^grAar&)2-^^*VD`1n!M{dUKb
z&z%c5-jleP<1(4dZt4iz*sQD$(7B-$KGY4G-&L#g6lOCc!+GzIHhWXUV1*^FJ+9_m
zh|?jfq?LpVF|i<H|1Y#nl4`T}95j|DdZTP^QpCr&JRYECG*H)QpltW<-t9X5jEc;N
zy%4#K^3~Bk`c+enS;+cI3TFiYMQzkUtHJfD#RrYm<mO_^5cSP$)QRBS=YGP)KZ2`{
zPG0Y%UIDC%Hd*Izw@Pry3m*8-UfrelwbCPTCz^jPA7*p?_HE*y!FQ{&e~V8}e$G=E
zO7VhN*F3O`7cpin1B*d6RO|2~BG1JYi@T>z_DIpJzVSti?<`~~c~W&{nJ@8>#qt&K
z3P4ZK3}rmLzDvbNVhU7u>p<kttobcq)d8a&;GI4{7j5|2G<E0eQJSH$ggdGQB3oqi
zadMpUW`tF5F`7%yOB%kg5fZt6mrgIIPXkU_cx8kFoG&jAjnUc>=~La~lhN6#1q>ZN
zsu_{hm9QvSMMPH@a&lww;xJ&#X~v3K34(EB0(A3duc#kWRb7n+A&wxbhl`c1t=g5z
z6*qfby*0AQ+Jtsid=hf;{?eaU62;;i$A}-(vJcnWP>QR@ZlMpU0x()%bV_U;yDamQ
z&`7Nv>vP0M+H+s!v^*;-2yV+z`s{ITf|cs=<BLx~P3_W#l8Iir@lJzsxcjy?E%&26
z{bPR?F$x@#p>%pf`s0K4vv$9&VR)Ee3dsm_V<&}f*V>Vm@M}o(ybv|#N2uj()K55`
zjEz+sv_D_!J-={rc9pMoie;c$%EBHNcm6YW+_+il2w&~b*es}}t^?II)GLsXXgKzM
z@6OCS%}x4uW@tRMPE0&~x{qPp;^6jsH%Z~r&LIn~BxO|So<Cj8wQZ*Z`i&Ky_Q7-W
zZr$=Mj2><<P5t4KEY*jj&m2&dyV1xFakS?&6THHU4H>m7>LswK(hW$Zk=x9d&$jSu
za0v_ye5|MN{{0_S4AKvZO*|taCd<T(>+{nu)Tfo$r~^dskWdbPo}r|ShH@s}xn`cU
zHtLTXlDiS*H!7dUH1+ZE;awtKMIm15TgXTavJr^|oc#R0J&Q-`_w-m;u2LVqO|jkS
z+o-6il=jfhA(?<Cr+PKDwY8U9t7Eitn7ISSX+5<3{ntX@lwG*llOpU0khpU(<+@HH
z9swxniNjwnD3DEDWplTe&BgegvGvO7vHE%LZC0~G5>cVNxBA*wP3dyEaiCWKTS=h_
zI+?BTw=r_c(c}|Q=AuOUpEovwo^M0@@caa2f?qmXq^mF)rmiy{zPVw$TC@^CfC2k<
zf!Qs`B}-hBKZRWYE`W$%w){E)0W=v}@C7Yb2Q2hg*LLZn-_xi@oVl;9GUocPH-vv;
zR;@2KgDTfTB34zoPP)vBWMAZih-CEQL4x&=0SXnx$$LdbIGXE!`ffJyM=|$+sn%wt
z&hnj~VM^!p{dO5_O8+JS1lRkBua1x%Ha|pdxE)D@+kh0a)JMGkm3z#HqT*unujwcE
z;j(4h@F~-#nhMrzVWEzzR#nWOka;h1&QPoXT#@KUqU&g>d*FkD5k0+oeh(`0A7<0}
zs0#MMA)_Z(tv1{&q-b)K8r}`~7C-}N6jKCb*xVJX+RH6>iN%TL-ll)^C}|R!43<<g
zxf{6KATuP#G(z=q5#3vs1XPUJr4?W^1ap8Op~NnDxL~c>+S?#RDyCz_#ktX4Im`sf
z_B2}YGJBGVDn!<`!ZHL@MSR43yK6<(jXzWx@V_i$(|T|mLCD{(kJ$GOlR#cB25!TK
zh`Rvl?35?zf^d2!<FpE*+&-ZNQ_anlZ>f=CB7pHQ7q{oz*|i~Rx%7xeuEr~}F2REk
zxHKTC5sQa2v-zpw3QtQS$R=14&i=CTwiV9bGc5JmHETRrw+KuOrMfEuHg@ySmm-5D
zg7sdFr-I~DylCZ|D;QFb2g%1dwX&52Qv1VG&ho5G?Shg<B)P-<726rRO>||oq;OIl
z^inX{3v~Y@jUd3oqaK!EPMBUqSsT@kND`Yarcm%_X1DJ6rFSZ=D3jvs4K$gz6%xI0
zCmPvP?`0;~ADXy|9Ls_-9|}XBT#~3)xJ}*A+}saMl=2xKSvdiWYfVSYc%2B-q}rwE
z%Ts2tUwttZQ!{OBxzBA&ii5ROX_7tjbDfN$qD>SGJ9y*T)iSv6F(1aeBu|d8J6=Av
zliEn8Wm9Q1=Kwb#Sxd?gCdg3ALVi`Xqr~fSCeo&Yl2$m@ZLMxWK|y09-ZFf9@FdCT
z(KXL|DR07{_+jU&^>u~V2=NTnqSd;hbHuT@ZqNPW6Lw#A*}S>g%CnE*VW!EJ++KqF
zNbx>ToIGjQ*W1UZ)6<@*8GXKyGHYwSIJyTA*S~PkE$kY{R$o^W(yxf`qZ+hp-xs2}
z&2POtNrNf=PPXd)LjaukVPm>dPF=*TR*{VL*xN&JPY}-&9v<GP*x7ft_Gb7;W_G@=
zY1T*(ql!U@gcOhImi|EAU`9SZ21;Ak$oU)F4+Nq90}+d*9~0|H-i@2bBAP-Zf=m&y
zoFRA}m+TaLCt5(r7I1ziQiE_~6R9@({)@<&<E`S=sFwc|+F+Rhd2`q~tL>GnQJ|W2
z&J5ge2u@~=jC%ic40k`wpudC~Y9(E1<kDpyii8A$?4Z_H*i5}#rf+|RN{CZs|E)s*
zNSQ2?Wg}{-d0G~vxVcf3ovjU8(vr}4T%xMrK4B6o?x0*m?l07`#2)m2iEjTN!1^Yb
e{TEiXLv8IQ7xfnJq)6^bm^a(OR&KL$$A1Bve*oeD
literal 89214
zcmce;WmHvd6fU{}5l~7&B{w1nsB|}olu`;vhje#0Dj`ZrDXCIY0@9Mw0)ljRZs~5g
zbNiih?j85fxj*hWYm9Gv+s)p4t@Xb1o%5N`^SmqMsiF+Q6^bhe1cKnPtfVpmfh~?e
zVAbPd!aH7<B*Wo<c=ocIP6z~bF#11?h=nZ^1mZU0vE)Nl_oUSc4{uVb2ENS%`skBO
zj!~Dc*WYd{qH_Golr@Wm@oYVj`BNL_N|FDo`X{PSF*NJ%GVw77SKmIkYxa}`Lx7Y%
z^3rwLHrn|Q<I%sW{bI(1x_bKh`b7FBc20b^JyMFYe*E}h*0wnGTsNb4W$zMP4Ejj_
z{d<Jqzn2Ka3h^|?f3J-Z7|8!#iC_Ld_NH*s1mdoc^YT+0oBU$!e^+u_K*Vzwmw>><
z^#Q_II%8-hdE#>O-;rW750A?K^^sq{ekBXKIHEstS!8pTLfCz?{v}rO1bQYAi0rnG
z4($s2&+zfva=4qb%DDr+zP??y*yum{s~#R6@>k&@90MP(qThhy|HQpd6WP@snHK2P
zu<BGyuLiYIveLns-(32?M;$#Fa7dwgGvriNRW&p|6jP!D>B(yZ5yVV-2nnMgTsH#o
zNuEps-a#L?v6f%rAfEDvNf(=R#9h6`D(tz-#LiwQ7tcz<AYb7y*D~AuZmh(j*mB_h
z{)9|8mFCl@o6WcMxh?z6cNTxgv+1+4u|>RnOTlR@D<OeNo1U3zy401NrIgy$-F<Ly
z;I}_wmZg~dcVok@?0tQG{qID+i|r0JiZBLY;cC07S~{8V-R*5o5nC;-(I`3@+sSH8
zW#!qWrCZmo^<>D!V_;nl2oCPUtgNiOckkXUHoeY{4zJziD6RbPkPwgaqa}Txz2|mz
zcC6|xgK8F~qh}`vsiHoDjEq@jWxU+nB~D9SaE8#(P;Tb^#YDUF{V}_Dx7d8wE0;cm
z-MDeXYk#%Uen!I9_M2KR!Idjl2ncMZYJDUmBve&N4>-pYe<tY~8_#DdB>EnsvU+=a
zg9s=^FHU!0WHxtp<{U#{0L7Kj!5*`EFy)uZW2L62my(#Mt)r6^9NhXVnvqSXf*qnW
z@$av;whw%EdM++5b1h+3mX_<2HC5h6+q1K?pC1L+?hR^}+f5M?5fS0zpPn5|5g~;?
zq@<iL#Owd4s-k@E2;X7RE?eF^HvOG|efjcam785(rb2dhc1Ik`&fcEM+kt@rpY30a
zFzgHghbJd|R)cw8zTDyB;t~;==<c>_dULI0_;_!nJ4s*;g&HX|Xk7fA7#|ZeUg^Xr
zB67Bi>U*I6Z65hlpe!dZZ<Xfauyt*$9FO+dvu6<Z2kR3;_S5wcJ))<ZjajL_2@Axr
zv9WzwO5I&uu1-$x!ovx1ahdMj`_<n5!(~NHULK!dNvD0&yrstLK=g3>b$fgJn>V=0
zis}$Lzxk%dA*%E*j^j}{=!|kb7=rVYF~r;Njt;o&5r{WRK3jQQkJH1gU>e^Fla8B-
ze;+F<t`Fo6g_3ifo}KM^o|V~*@mdcT+KiR$?(QZeBoI*YHZ?b2llZ1rb9{cX0h4&r
z6hgvQcl!O=T}oc-<<Zg=uZ<d+lO+f_5xdE1?Q+|E-Kzby@+s4|`I^OxFaou;wRSao
zYOuh}yYg~#tL$f988G|J1m3z#gdERQpk#QnxU^KDQ8Wu9aD2Q{VD>wqd8?nl>~Eiv
zSdGt#tA@rfT<-996FCW4504|WR3F##(<8t0om99Td;)?}=Qodn2~Et*TAQ0$G`|OY
z9RK$18!Hb_sX=4Vcn6GDyuR-UjF@JzX<$GAv4rp8OfdS}e0G!ECm4|0{F`RT-4Tf9
zA3i7hur$UeCO+;e;#&Oq^b>~6$J^UF=RPN=<NoRh_iT=8PLWY7ukE--?m%W{rtjuY
z9PSztiSzCFI(#yAf8y=A2(bh;SY`)5acJ1nR_5mBEF?r7=iAa`B9>dKtE*q*5M7sm
z7#S+J(`QKXa(CZd9qB6!J_@|0XFgS1W5DMqDcSTz>K$B!QWF2?J`{fnMZB7csj2V9
z*+D=gWZS-BdEBjogH$m;UvqPFDXHf5i7HLPsN`e?T+~oO>P-JG5{c{<Inc>f%dd!^
z=?VSw=g-m3QXkxs$Kppbb6dXuanrQ*SO_LHEiDS#bfeaAdCx3NOia)HRST8pczAe0
z&oncXdk`ZK4{)`Vap@L2KVRcy#-2`HoTc{kp(cK~SdCW{DQ2CZvQn4hVq!>>6>r_T
zb<oMxtzi?Zm?bACHwNMO-K0bG{BSNp^w|7pd%?2w$M^4?e0=e9*$x&r!m55J@T~M_
zM;kmY)jIo|TX0=MSw%&Y@Y=O&4{?tm*mx+yL`>YdjsARkh(!8P*bLSBcp1)Mp)+qt
zBe5rX#{4csX`7f{sIX|26lULVeB948nr&s_<>FFmaaUeO<WYt)kIg7I8yg!VW3VkO
zqdNg57JV(2(Y6ym_GW@<M7<CHtX7$rn5bDzPu`Dv@Yt>U_wNCeb6m=O8uk|mpKb5q
zLIY|+XY(-_hcX)oZX1mhIdbIhHz6S$_eVZG#QLAt^T;2PeO`O}6Nxt?sB!!(v$=+n
z>L(d@0zMEnyE!@01@sRMC8{;x&+|^mCbn0zCp1mQNT+?|GE>yl)Qmui==tmo3=a?c
z`y(iHWFnAfn=_A0anHu=>U5tzeNnNIr&;{N8D*%Fd;k9ZHovrjYsdaS^a={TeJkU3
z(tCZGVDOu6mB-FvOiWCFzv`$Gl8lVsdHGLInoOUm)4j$t@=O}4j{iqi(BQ7_={E}q
z$qZN3(XqCmi{?VT+unBE&*@4MP*GF6NkdZy**neGF0J<9)vH(4)xwP|(#hRAT2gdd
zbFC2ya=lCQ&+p$j8FdMx<n!IAIWX-`Nsfxz>R_vbI(2@!(+#=dYfesrpv(PM&V4>C
zm@;DmD5&B^%bTdqPWiraPEJm$Nh-&UNs+!V=MSFI3<}GBy<0PN=f@Aco;w%7cvEB?
zRJm<XOcV~+`c$3ee^Gx=xWVUmu&yg1>+H-O|9k}2h<2Iv2*enqdL+yeyu=}-dVyIz
zz$wA=@0?enhcO_?hra3J(TZK17WcfKU07H!>rQd;_6nyGFzi1`h9sAmxU#<9CC_#-
z?$ljbRW()P74M_PU#g{md++{z&e2+@B}ERcff_G230YIq#f6S|0=dC~0m$SL#J&02
zeA*FXpC92!$Vy3Jcg!tIn>3kUhWl;9#S}*P8#cGLx~-3EX7#aX6#D<#Y;JA_ERdIz
z<LK?x-q9g;yi8~6?kz3d^7h69Tw18IcKu(kO$@`*f#pUb@&5gL#bm)|;T&CcbvMX*
zP-A;9(p9qkAR9p4mVddoGL$Op@!r(SKzpFtV+WFB+^HM6t7&U`dU`{HgqT<zWWgdT
z!?n>;2rHf>z1o}{O9<tF$l+lP!R2H*a-l>tx^oPs-336y3xyl<q=~U{C?y{&D{EI{
zBOM)G<Jg!N6b(qX&YSitO-)TuGx4bfxmj7iWo8D2AKQ+6Ux0Om|4t#1cMSpr##iCV
zljGTUY+t^7frteFP@=U)X;=NwtGUW`?Rd9ONx$0N;pZ#tsHiAfTH2A35x@)(0)oD$
z6+MqOUX@rvwuNFTW;<1T1|>m8M&{)B7^-tYS=k_5%uGYz=g*&+gDU`rK;(;_ta6R^
z!$jf`Ayw7Y;iI)XT|(m>!z1``Ymq{iAiLkaN<g5Xs5l8_<jIqEC<mBWSY8L~A{M>r
zseb1lhedDIB&T@(g^@j(O60XU28h5-p#W$PV2^Ydg$egY0w9luz^f<wYhLqhQIHE@
zlrCMq%nMZyifrfh-u>9WX%V8M5W3kaS=&219UUEz|AX<#dm;P7vU%5&13>M0t{OGJ
z{d9k}ihzK?(a{myNV1R{Qozv|z{m*E)==GfDSQS(wxhdSNlD4g%`M{1o8|uOzRj6N
zI4a|dipk-&ZoA#D(c4(%Wm4--5ji>7xPS~QSVfCKw4jrL)zG&gJ+C!8zmr5PLOv)!
zu#DMi4_^`b#N%3&T|tO%A%)%9VYcVz=OMxbs#p-5ugw5(=_tCm?4kOy@Ms}qoLsfx
zObGu6|3>h^{rjWkcBwP%mJu{!dL`z7VxAcr(<fj1*R&X8bfXK3=JV$Rb?18pJXV8}
zl9B;IL29b1#wI2xXF)%|3nI}&gjEoFW&XE1-tz$31=!+z?+}8kqN)leTI_7MuQ8aY
zHFN=e>g`wmPz+#*kbg&)O-om@Q1Td}IDO<k`U7&C_`>M_!&Tznh70(2v>{;a{X72m
zZ^lKDsH>?B!jvWb&n^WZmxC(_V*Uz-o(^P<oo=y<)m63s@q?=dxHWIa$L&4-HAM(<
zvgMbzhR`2@<RMUX!!SE1rx)cMKrALE7W-sjb+IB2n!Ue&Ep<Fv)6`Rlzo_NbR97cW
zP{pfgYNFQH!yjz81L)h^+q+b^nT!Gd1s(-%p#B}Ji%jhsbr-d^6M|;tnBsB7)6D}p
z&vVuFeFjGIiRCOTvek0$25_7IK{OIj<&~9{<>le4Pi`&8G6p~^b$E0nP$j^cRZ*dl
zuXb{BB2-1ongwa$+qZDy-a>;%O|m$-+1Wkj+!fp5G6ll4O+){Vk>Af^AVb59`)+25
z{eK<B|IK*6poS%gSb7kS$2URdSXaNrf*!qJ5=1af{?Q*5HkilYjd~t5CPDC%cs-E`
z!hsK5M*pmTI&C9*UIWq1)-*Tn61=Xb{@<MN{}l@UeF5Wa#OdgCP=SdK=6?sdI8<$f
zJ;Oest8*Rt6pfAl8gP3T?hML&yolwl#Gcr6dl3wTIL5!un;rwN&(}1qsz<w`3s#{1
zf8E}b`uCF_r11U7+y8#ro~3OQ{;KldU%v;-ufO<U4%d9|4;H#PWW{+og^c^A=OE9|
z%8c;;`ro^^>HCOt)4y3rIwKH_|HcL3&(7@fuu65PWF_ey!hi1H*uWpr1JD(SPS=Rr
zUbF{St=r>Xg<6#J{Jz;5@W6su1O^cKZ*(eH8;NaIen{(cqu&bp16SyO-9BQfBpv01
z8c$V~@r1k2`ZorMK-^0G7d$Oos0n3^+?nx|UDkv72pKp<($z=HFg4<n!|^solP0{5
zA<K8}K4%?Bu$YXcG~|X#XN)5Pw~M%K6c=Y>q}ONbQRz&bC_;Tes1(Z`V()F#Im_Py
zztH55o<D@6Nw=)~B+ok;R;*RcJA%DJFaqoWXoAByWJ=b3op$7F`fyKw2-b-Qd-4-;
zK^rW@Q}+L6Y=u5H^)BYEONjcP|9xXV_`uxBi!;mp(Rh(JHO%D8f2VkR*L_w>3?hgB
z+J84~7;>%5B529M%HL<5ugGg?<klFBg{C+<`VegqA~PzH(|=<!P>0k-{0!rN4ZYxQ
zuEMg80*IBLpa1o%z3Zc<FMX)xcL4BUQIEG&P<U=REKo-rjarpzVPCAo<sBb;>Ud;*
zEhxxhgNir5XC;$vcU2{SDWBQYXf67;hU->!tcjnIdw>08&g=*KMis=P!$7u_oSgfH
zoA0m@6_5OH#Vcmz=H~;w()49$1@&%pRLkQ`Bnz=S3+FK7Yg%B}_exf5t-c)GvjXX2
z@5*`2ea+5tU9CFTZ&P>HQjFPNY>hdd-K1@5Uyu7(5SJms%rf&`=-`R9`iXI|*tg54
zA7|LSB^3;Mrsxk-pCORM(^Bcm+1}pX(3dAo5EsS7#r00r{rvgU*4CY>@w26sRY!X}
z)D8Ou>QFroi8tlt<*BKu#ffu{Z{NKeuq>^st1G6Qb$s&V$=|<!acSX;?|&F+TOY9~
zrv1LC{vdFG)5CHeQMHzvMtP&G-+wyE8>v1y+2>%x!voMhh<J8wZEa;`1)b%fI^xl;
z0|>Ll^*{Z$cKvk%KU^|xT;qLy=Y>c3jRf9ATaLF|wd4Za(wG{r$gg1N;QR~nwnTr;
zW{l#WD$Ft*TG@a{S}@iyjtoD3Cgwnjd$1qggeji(ql)y%o208h-K@WMqK>Ukk63t!
zUiyf_m!T5Z1Yg7|Nb5@>h_C$n#rg|-JgNOli~+3n^xjhl(#!vdAaTclc3laDO8A!Y
zf06vjnE4ttiW(uV$9@$S9js9Mq-DKfa~sd6l5R+Q0*rdpe{@|8kwqW!x=s!OQ8`ux
z!+)`CQIvqE&`7ym>29gjQdF%?MY10AuG@hL2f>7&0>lvlaY(~z(AiaQ+P&V)F%#$c
z`r1-G>G~@C8B>@^@~mfnPi9Q0>IQI5msUT@L`srER<#z1D|=mB;pX0MNj@%!fe8MI
z?vfA)qqr8vtD@ye3Jdv{rOXJHE@#y<c_MBFAl;v0W^Pa?qq7xhT9^H9*y~FIFG_F`
zvj2^QzZ7@594)THs+ClHUhdCgvi-42r>rL#%Gs(@z9;#`V-3-miWvM2#GZF^#YQLB
z7Oc8#1D8WRCv@lY(D|Lo*u?|*nc*@UO4|8Yb-kkw{qxz?MgPv*^{=Z9I?=hE)>yy*
z^=-URFoOD<z%V@>-CXL$DI+aCFYiqZq%~x@w^GshR*Tw0!d3`Gyp;M=l~X}WS>T8K
zk?tnI%XT;>kjWAurmx782u<86$XoG8t^Y*oq1>#rS~NXxrII4}uX|3%c1tzD*(xaF
z&Rxk}nzb$O*QrLZ-@9Jy)L`(1A7L+i$sL<hVfAh2rkc`|C^Nt_r13X;sQa#a74r2C
z;=@OIO&?=Qx|s-h?k<0N_!?ksbxjQ#CIVX9g9bV73N*iVqa_vqW^6`F@bK|fa|Zy~
z0b_bNAFTvSB=kyFW+u=FKt_B#UrK)*t$JC|ZQZ);TuJP##BE~|kZ?*$3I+xSG@8l6
z9@{gG!LT-1O8+jU`XTvjb%2%v+;Hd49YA%Z(B$de!lK9dmzoht{s%0VDX0nDWIkLX
zZr28~1$adEi;vOK#Q^@{_woU(HU!{F2l7xT04M`Wccx_uS_nY1w^(&FiVT~}VLqXC
z-?Z%nbd{x$XzETUo;z?3&>I@E6(G3k&i2QkBS~D}17Li9w&6EqS-LBB^~#lfpdWzy
zfzJtYa74KoiQgffj%`scFK$S|TN<vi-Osz>dJloniDdR1!hYD@pG<swP-XB`#vF%u
z9Ds}qK<UlRO^d$FQh=;qzRdpl{0O?fZ~6HO^7240dT%w~BIsCg{xLc_%Ak<2yE0S&
zH)LR700|J<hSqRuxyO&8OM4<KTj6`=3G^b%6m)~|6DdM&wzEwk0g>IJC)Ue<KFiza
z>FEW<7U<Xcw#VG_tVtn8!}5o(FE=+enU{`^mD~9pOt^`iAJX}Bw4I-w06j!SO3Dor
z&TBK;KR5^oeIBSU&zf_f+E#ngT1k|IX?IPqf+hUbNpF#J+xA&dG`pBO`WmCTBtSaq
z8tt)jq&^5vK;KbW&|9pI6o*mpe9>+Rrxr49i-hhR0GCp-;NJe)7|gxA2MtZ?M(xQr
zrBqSrz3Pke6KH3=*Gh+wV!o%p7*q4~Y7%S@wzuDgh1IyM+&t@swxqeGCBf#gr|0q1
z`92@C0}BhKKm%N(lP0S@0e)k$+CwE@Epfd9#uv@5K?ear>D&Qy!cAt4Liep%Xqo`2
zlZCS(1RA(DS(~J0MXu_=+I@-`BKJp3zqlW32@MaBL(-vS93I=o60)wY`#=KXPi+Ic
ztgxXfA<+P>3?A*pQMX^GYizOhcjLz{E<CjJ0EzjYY^bgb=KtQ$fR=0>+U3U^{Wvt<
z;^j&F4h@5G{{6S>9|XTkS3zc3xZb)|se?egZ7RA-Au@n?5e;DvbPt!`ovs9)ceTTH
zeqslsKioDHaqmG_+Syr>O%9YV^e?mll2TGNTP>8lYeLq;?50hkkMh;(HXE)6MDFf7
zCo7t%1m5N$li1KAWp_?;JIP2Lwz#@*4z!;?7Sjd_fw;FkkQ+a;21|tS>eUC#%+=1Q
z_o%9mA3wtCh6SqQ>FN3SaY#>+Ye3}q`1nm0Eql8b2vz9a@zCx1!Db;#fo1|%MCLId
zfG}wiDk^K0<lFa_U#jD-qg0Ot1`X(4?tN&H&3TSMywC8z(UUPHfl%+u)8yJOM~Zrz
zm-qlN24`1<908Hc%*?H@5fBM9Sz<y|VxpXWiRD0hCN&-{5V71<6JukEwV&vA9@YYA
z+<sxU!L7`JPVj}mRhRC@rKZx*rhoa;U_S>DHRZ8HEg=is5QAdU;c9VrOH&gN*nOx4
zh(2DU7JP{}`DueZ6a+pqAR)|=6GNY=?S|p;&|e)>yD!@tr}yflBkK*pX-9IOSKDX)
z2n5wHX94HNweQ4^bqKCr3|ScylZ=dVbLT9Mlp^z<I})-$)B-n>mX;Rg%5lF_S6m$7
z^AM*OiwqVBCU&sML(i^}2M@I_BO-aon_Y@O?9=_i;-~JgcG}HvYm+sVQ&d!xmcC3&
z&%x1y=2X9b|9;5xIvbc|-#K+GCNijsA7?nm>(3iQ1Tkr%=K;ad($D*1>@;Q+VkKOf
zwgm3V$n^vWskd+6;?hD-ZOVI-^mMEHkF_Ub0F{{U_^PXEOjX9h!f2_L3{E$Vh-V43
zLMnYfO`se(3othca<I^Sg`Y*pN&-a?`#@d3+z-;vZu5hJ>IQ3L<cB(+lQI-5qf$z>
z`_`9{H1<a;EMbuco10|3)?~EwY;1PWGV5p)eZ#;&(!aesB52+2(>Ot$S`xJeef3Q*
z9HAdm7?ObPT0_ZIG&IaB93Xu`LSqbQYH6Xk3>};Map7@G7$r)>vjv?{eNWxxWJ2D(
zOJnPtWd5|+l`OXuhE7s$YojJw(=aeqPD_OG(U^fhxi&vt+81lJ)p~8=d(-HOh_*IJ
zYK{g=tDdG=%a5FKh@Znch5QYI(@qPeUCIB-wf|O7MP((B_Je(W(f9JyazR!4VLieb
zCfx^AH{X<ZG0@_I$?K;_JHWPqG(yg0+6nQc5OJNH{0NHMBv8S?C_zpJQaDXhgo)`Z
z5Gy6}-rlEw2XbMwbW~KhAO}L8!KdJ6VqnMwdL9Zrqz$M(!;q>Wlg>n5#kvl?zOu2(
z_fpki7ltLkK-nBZbkq~(R-py|`czl~s@bZqN{JAikD)k3MCb$i2NXR)xtFIW10!SI
zZm*p5LiGFhta{b%=cgVZy*Z<lO{;*n0e0<6TH5c+?my;0qbbqKpV0%E5-8Q{JE?wW
zEBZAxHBj|3d(4&p9ijIfoEl$Pss|`h&$m0Hc((4}nq#8MZ4d`IHS*JY8?n82w3JE%
zoXvFo%l|5OPfrgCqhht=LOT=*g{xj(Ug((u^~W0&uCvoqfY}Lrb}1h|d`L(*KB&7$
zUSKMy*&hW$KbVl3f`nvlVZkJO_ydO##QjY+y;G>hAO*Go|91QKCn$L;S&AYKvyu`L
zug;dPeoy<(eMCE40JtGdIxK<H<ZUtKow(j!<$N_cv~cm#zZ_91qgEbYKz{RP;YCsg
zfdqAPW*_&2hPJl0ni|7uEDr1cU<o$$rf#@DU}aUy9dNeQvrm8j{<<Iu=kd$@+4qw+
ze*<KQs*C?TP{Q2;F)Z@|)<a`c({M75I|2fga6w(RSN%JumHgt<(viARf;0KwDB1RD
zoA~dba}uHrdUV-$eT_L-6!mk&ignD2&-_YitWx+9OvsjDSZ87%nz~B=@Y9csjIJtK
zg$wZDP)Q}wM5@T{uUtXAxblk%fshPDy5E|;ll*Z%iDBc$VvjmAzm5_jl8$-ja<4iS
ziS6#(>P-xP0^(`im`i<8mlB(z$cRch4lLhbsAB<g7obTBG<o?55s7`tUEP4<B`MY0
z!(@sGmpN<!)`Mf+;0LKffFxx#UI}sv`|Cg&pl{<V9N|{1ye$ck_@5Vmq&7M0-c+tJ
zNpTkH&JrQw%8ODr>WPhMQZ+jCmzZB%7m9yz?^M>zlfBWDJ-@V{msK;oH9N%T-l2kM
zcgd4k5@JDr^m*Fk+RiZLG;yJ0K&-w*x<|624w^>$CD4;}Zl67cy_1tJs{gFA>mz1G
zX5<NWrY1BON!T?jh_^2h1>Ro>|K3dU&%bffPsKhVqS9Gd-7m^1qug2fU{Mm`PaU?^
z8Bv^w^#a>b)PMJvBd(8y1qw14u<UR^Naf__PK=M&p6zSL>B2wHr!G$X0NUkBr{NJ2
zqFGkJU1?vwtg<mX+zI1#BNG~1%u^xRtYD4Z)%j~2QgVTUig~rch5><!HX%9%;26iI
z?+ekN$Y-afuI_a2qDyE4$R*Y1&jW*l<6~oCd07tTX{s0Kl@_z(%1OV*rYat-cIRn}
z$L!L@$b$ITeq~JfiR}C8%Y&^g3!ppSL2(6AQA;Z!DXCMLUrfxe`RxtCWZQaw3|Ltp
zW`l&P1N1R0nRsT+_en_r&zcGfcOAO%l$Y^J1p89@w9QH6;z?(IUmvRGR6fi?w^0a3
z+784NB$>$?uf8EjU#o%eI)A_ts9DH#Im+3%w7@QMnRQhI&2MYF4rx`$py85l;7=0=
zzgH97i4ICu&B@`{BwoE={NOV**WWjfQc<(QtsGCCo4GU+#iwn?7iqW5Bch_2N(fPp
z-7$+Rj}gps8Q~tiK<v5hEI2_Vb}Ej0RCjSAM$vYUh$tdn&ohJ=sQm`G`jOF8)cCm)
zIYEjWy&Njp(!MBSfMQt}k+?bByrr}M0I*m+rJN*iHIY{}_v@YFqoaX1e2fc-F04lz
z3JzTW>CKy>K%4`VExQ>f8n}lND39-T7I8%ijW(T={w}y|$_9(m;!K*SN|B=cI0@H(
zg?$xI(h*@#R(!U3$cKBI?h4T+H~|8P;o|=Md74&!hmP(eCwKIiD%mCawA015%<pb>
z7c=fShAfAV{cii9PBV4`U$?FaeF&{xy6poE>h{^|F>c{MEQYC3d2AH^{+mP?;)A5f
zX#g0sO;b}-_OikYFyia$-}+F1ojgc+ox$aBFzMCp?B(O*^Zfa92Zy3F#ybjt>vyF9
zaiOH<n3zf#hZ?DE^hej2>(Yi_mu*I*?U*AX*u<x}6;Wpqe}4~5@vSMD2vXBcxhy#9
zD8}yWPaU(A2InXH^zkRZI^6XX@p-1JtE;Wu;Ulw;$DX{m7nck;Eg^v-Uu|VIi2rdF
z<Hz`mcRz>h1g6`9>NeMM+NMcENm~QnIkI+DnM-`Gb6u_3ej(JTe+ZmKmrZCxOl<5m
z31`7%Fo4_^gHhY<wjv_h$pX3-i0|f8>9Xv?&+zl3UUqQT`UOK(4I2!LL_$RZ=Y|xb
zX6ql)s_LA7Wo|#r7NJS(G+nY)4waizIJo1}=iDkZ){hL|<67eo)R$XxzV(A+zZj*@
z7ms&UXT~k?sm_j8B{cS@lxr#dx|K79ro&EKEGd|e{x}&3B^j|LTuTdbu*N%hVCOlj
zD6DB>KRhMy?X_>}M{RmUeR2b1(a!EJeL(-fz(=2W23HV7k%141b(F(I76KOv)0{SZ
z`8rlv5V;4~)-?_<9;6+!P>0LSg^A)G#IuG>xVPG`4^h&GiyUhawY-q%f44X}b1#ji
zan1DVRd=0rpl-!oNhh&3Ha3)S@3FBBt?Wq~Rp;jBqJE2MwG1`{2|6#^quzf!{R8$2
zef=ruTkxDXdsVcwp5T1vHUCrpJFNTnZ6sgGk*-p)Q<kR5@gK+6?|dYatwX0eor3ZW
zvtOR|YEnGdIPblCLZiSpc3&=gtRz`}%-rbjg-+&hgWjF&{QL~83#hTDr>7OG4QD8~
zqPiDXp6ciTp80)#UyXe~HkGO90uKbzKa}J0ge7|%TC8Rd1B9+UV@r6p5ES3g>yW=_
z2ArklkMw`^R3@~}t4g_=A|`Q<{55ymNhG`>PJMimC#a<Ev9R2YYpuaVTn)S^4hauu
zKo2Y^Sb>3o<h8N!@iO|*lWZ~JzY<sDc=xgYH#0?+m6g?lAE~_KhBrFWomcq?sj8W)
zduBpMr5o9~Y^sL)7O~m_u}sam-hPtTiLqmtck4;w!J~on_3V`R7#iO{LYe4v-J?BJ
zpwAcpvI=K$JFHIQCiXdpsdpyLY#5`)gsqD`hVq__-b#N4=e8N%1uirjt=zgCJ@A?v
zHC9%#d$aYMi^&Ut5uhK1*aDfq(Tgag(a4!3^-3TRCMxbk)m2ph+$NwSMR(<THJ%(s
z-H^RN(8HqzB4b*eY`%d><cGUhJ__YjXEhz8=$^Jn-bMHn%6iXJYzyBCGE>YepQh<e
zRT!&d3b0zsMg)`_d!K!<47<Yg;=^Txe?L<-P6{!nVG}MS8tAwSw9CU4CDorlF9qB*
zKCT17LHj6ZlNJ9;%j8u{B^nEdEF)8{VugwR%s`gsR!c8eTTkpW&6-SX#cpk^;SgiR
z8=GsiC==xy(<Q|iRi+o}Gwrjw=@=srpWD9U)RvU&La&})fJzdCv|`i}`dM46%)0W$
zPs~hvuvtu9oFCkHphg8Q0KlTqngem0lbyY_yPG89<@)qb>Y!;^HoI(U#@Ehsri$d~
z`ms@D+?rwW-nW<i$K|izFBW#+LLdlDOM~N*izP(k7inK%BK%3wXRfW)+tG)l=1f<d
z0S(#Le;N`%MzMo&Cs9#Rko~~_Q{%a(Rq1E~O@P9K@@#gdklRXaJ3?x03+KD7DS{p}
zx;JsYJF7Q43kl9V^hl@jA<$g=>|#tOl|Zk*?(TPKU!UeyWdj0X2nE?&R<`XW7LN63
z2DJahX5BZ_*ky0ZMH->x7bnlU<O6K|y!dYt-;8L~{9$WaPA7}SAG+HoL^tpIa^$@-
zKXz856ogu?G5IvcrKQ7?d%bU**X7zr^zq_zF8%a{OSoNgN#+D=_}41FL6F@q%(VbF
zjn|s26m_G2f<aSJWbB~bowhvOyRpOcVx@0m9H&<(??gA!bG2@I*%ycS^|NCad9t`3
z0?gu7a_;rEg+GV+vUV!ahd;waARZD4%chc{lJA+i=5q#L%T61%EX7PI$jDh0U_(ZC
zr;#9a-d-~L(BPT%o7Gw|$swV0W*qO{(S~%Ot_`%lc%IV_kyOz|a!YJHrw(362?I2Z
z6F6#w<)vG@EO`6sJ0IBfL%aOE)GkF%KgY%x5s0E64mgW@dC87xvpy-%c~HXWV{fXA
zjjOMG`(X?QsVRV(`>{ZBYHF<{)IxuxDaYe|y470J38pTVSm@Blf&T!OZ6HmC$j{FY
z^njV4gE%@6#NayvV+l4k_R-;CiS@|#gxk~^n9f*Y>pb`Vetnik!DqX=uyBKfgbP$>
z2>&sCClFhqH%al?ABl`4F4dX<auJx1b1+i$Tb441Ewv3=-C^FXf1MsObk>!@9-%k>
zGPaTEXnk=4`B_8vzEWg+Ge1w7=@88V#dJ}6lH5a2H{k&`)NvV$Lit$CO41F?z_stL
z@;DWR1UGY#URr_Lh)?XmVJ*EA(^Zsv(Af<F2LZuVtCM)bi4?D{vDVhDup=<@si>$_
zxvZG3gaZxog$??w?H(B#@J1xYp{-P47vopcP*v>*HVs-yz(%iMgEYM{URex&3}7=-
z1e`KmRt7U;BdCR-vp7CE0dv;E{Jb?#qyY6muHG0bpxH=(CcGc888pFt4d7tx?&ttI
z4-T}c16+Psn3()2QJTEEBtJjnAdMf*Qs>0|n9Bd+F&x#==3wmklc4;=8Gpc8s5OCw
zhH}@y?G~XA>+J*+v6Mdrj&?`9`f#?_^7Q+0x&#RC*bg?&8>*TgljAAp`<G(0skf}{
zx=khR|9VBFNG0mLx1Et#rz7U}w`!n6^hA5MDW)%rdYmlbhvttzECPP#r$8uxe+!BL
zxQ5*4+pZNiqy19gAb=3jt#ZxRDt%ki1-4Fj&2r}sFpnhQ^?-B=E`XJ(IzI!08JJs3
zOH2H#W+o<KAfV?CD5i?meEKv!n6C{90X$gwIXM)()*8>AUE4?iucz19u?u8GXuogV
zx;6E~B{x0Y7<`GArGhLhHe0jJWqJ?1zJ*K^Pe1%Ij78t7d&%y#W)Ny(vve4Pb9wfi
z{2|{lhxR0f%7OqNms2(2ZL8XQ-QZKL$C2CTYG1o^*F%mVa{BF7yH^wSFPfNn2nnCf
zb)gZr;?Su-(eGzxV^dj2YHV`p#<+l318x$`7Su3bnbc5&lyD!*%6_8T<g*@rQ8pZa
zM*=2-QfE{z(AJ>g7puAhG6hkGL;`NEbvIQ;Qqp_pHy@BQz}=<G7}MXqJJ8?nyf*3r
zf;ME!fJksgfS08l!l$If8K%G5Y7#g<T4OMR6jX0tnV4N%1lt{&$h;;&h!k$yqtL8B
zOL+5-YSAYwi7~B|(RnyLO4)t#_^>xiY1orAQDe>V){S@pT#Zb61l`-!0=4<azi!FN
z8YyiEPtLX$s*H9KT4Io7hc@I7C^fB0;Bg8*MC2kD7rz}I(g8>Q@j%t@^kQPH?EHh{
zq=5pkN?#f)fj0N4(d%|#19HKv8!6ESw+;lGEUtj}p}m2@XAu^NUfKZgg)q?5li7k%
zmxkM%n08+5;)tmDS?&O^<?+Ov;7N;p(rkSIl?EJAw8k*mr<M!>s%mQ2CA7-8eYaPD
z?*+J)aCUgk%*z|6ND~Q+<cAMrBqV8Sxlk~yTx4+Sxi)Weg{SI{|GnnXsoOfoWcmRA
z$KjpU<CTaqqDt#WwWUjfMwi|3l;!^rJXu4nG9W1XGKNMP69>d)<HOCS0%b%=>6Nc+
zvsYWlU8=M(Pz`Ck!+lmAIsEWvnceu)=g&<_hZkLbC0DtsczFtbdK?g0>9q7syL=s3
z9U<3MG7(SicwJZUHfd^-Batv$etdl809C+IVh#4XWVgwgiBK>dU6bhCm*unQ4IthI
zN2f)p7TQ=<>9J#KVR4Uk9*mFd_s4V9+0e|gD^T>{f`PFo?gjD*&>D^Jp#gxApuoC|
zb1w<pgI}27L=|-3oQ5X0t*vc(dKzfgaG|$XL^f|r5iYOZu>U6X*|jK3qNsoj$q>)O
zQ1gJHg;E)2K3SINg*JuyMia);={ofrXCIACclw|9Q64`EwlD8v4d>*Q>}Ju_E-7yx
zeEISK4SSK&P*sxzoN#Hc-ejKU?+~PR5;g5412eH;b&>{Bs{5I}Jv%KuAK%b!K4df!
zi4rXvU@#}%r=%$20*Xk-8-EH-Eq=$a78mV2Sc8Bv*D5wu0E!82RY5@k%w+KMWp-1@
zYuA3BksreNx~>eefV-HDt>Eid^M&?UDmT&_n8Ixl=?(N7l`HaF?uAK&pUXWTnm5d(
zIE4o7%FUc(<4O%W3@Oi<_$Ytt%oK0a8{WEFO)m1)j<mx=*pBTll`k*H82&wO{Cbq_
zxnr^y&1%8Wx3{BYbj7B>zbL&14Ax~i1NsjO3riTW1Wq>>8<@o(m+w6CDgzg11ocVZ
z)Jt%v08RC!;N81-sCTUqG$bGyON@_)Vp)ibBi7{1u8gU2(Wb*>FLkH-p)%q@T_C2U
zTv=P2052<$!r+hI*<R=X!{?m4G}wk<xXjvvgMu8#pQ++*-WJgLo|=602P4E;r~PuV
zSX@eD`9+a8D~q#n*TbNA+~xr7<|N$Vw?@vS^ak7O*ZG7BQ;l-mG;Eg~NiVq|ZZ=2I
zII*1`_Rwu<8Me2!nt?qmAQH%kw{NfPH<X;zfIS!(v<z*a7q);2zkVV(13UuI!0Hlh
z^S`3IlZ9mXZr->72=MKGbo7O2vLfzhr919g?(OwsV`GJd3Op*n8T{_<hRy~Qx~;7(
zNLe61fHG3dJyNR)&b2QrQKXmL?WH6XoLkdQl3Q8Fak>*(EUZ>Ja)<@Sx864j5ctk1
zL_OAsV#LOm$$WyrRekB#mng*h1=K=wO<_DsAa)e2Z^*K#sTUyM6_WN@mV#_|_wvLB
z>6y~8weSY->TppS<UeTCq2}OUz3Md^!U%#OAr=272z7m!FJHdg4UC8&DiTiBK}#?J
ziVAjCzyA}!U=0z`hzf&c9+oR;8epUbrH_Z=cg#H%aNawGXZ6+AkY4-%H;Bay@>VjE
zd5uPR!(U)hL50Ap>slGP;zj8ET>%|AzfirgM;t|J9E_Mj{L&_^!c4Y;_fz!m5)MlV
zzqiEqzr+*%-QZ`TY;XbV;>=7`OpGM%5%~RRG}kZ0;OvkhwepcXmN7H?P%1zcii?fy
z89^NZ%UuOM0FcZ;QLBL2KQ$F>m<O;kBS?{12{$A(G@T7X4wn{+Y9`lGe0+Q#<B<iq
zww3SU=FBVXtGKkVVPU`@18Z42_6ZL(7{|mXAa4@1juqqL;!Zo=kPJc)UB6RWZPt(c
zoM5K1UB36J>qk(yey-AEjqg8XYqs8YHog_UXODkL{qu`+kEdmaYWbM2U-92u@2#o&
z8pdG-5+XnV)&~zxfb(XK{rq~qRLcgog0zc2eM-FMRqk}ZDl#&%`Q0t_HVjxV6k&^S
z0T6m;Tdg#Bv@<g^92^`aWW`^!U0utb5r8T5Gh683%Q+1v00m%J2A29A8%4pO<c_zA
z$pX~EH369=34a`NC&TGmWhWE8H-$z7=i>WqKOvfh8XqwHaTL4OoW#lho}{lzg^*?P
zVbtWqEwIGulZ(ER`;}GYVt1XA(bY>nTQ%pdTpY0kka3N|RJP0L3LSw2+ZYt}@k`0+
zYcS?eTpD;o2}fx-jd6=J0JuGT_;A-=IuMraBV53$c)E|e1{1&ylDFP$!Xo|)E(>qw
z-24ZYp!@Gk%_5;0Y}C%J^r(lAov8et4$bF@x*F?7V&+CEt;#RI^4YkftDNp;e+}z$
zUGEPYp?%Juv;+(nHbF+CMmeB$0=~)r_6_`mQK%|l69-YwU<rjFKVksiXacWI&d>^<
z?Ksnm=vt7XOG>y)wM3j2<xSJH@-wqf04Q@)NfiuOq9l*$q&4c)4a-bN?exJddwS@Q
zwheaRPi*EFb@E`I`tY;%OQON)<S1Q~%$d&qcdqNjtz3%}pU?Eu#WI77c^aK)r*phm
zn`3c$$3|r}lSs)7@q9bAbsA_f>19~myD`PZ*OAELTg=u*9=64Wo156F-o1s-=w!;;
z+uq-mQ@uX`MgWDWFTcEZmwQZ?hE=jvVL!|50PD%>k0-A@f<SjGgFXOw%O5A894`G%
zJOC+%SORFz{+#Cz8XI<&x&aZ$%gH4QI5DhUA2R0#%OfyLu&zNCX01!80)Pc#i$oi=
ztFW5o`Tp)5QwzCP!!DPA$P^K;mX;RI1z=pMDJjQ_jAW2YE2PLSTZI29)%Jvf{+~Zp
zr82V>q?E{;hDsYiX^x0}|5VXe^ojm~$=`@Fn%dseR0nxyq9+L|f`0dkC%S?@X1ew1
z9DBYTwG;ujNmY&a@02*E6hnzTL&ZzO93zRQa)D9~jis|;lUFMBr}Lie1_kq0KWnHG
zDN!^S#kp+*GAoUD^?X&D%)Vc7RpGRszL%KaMeUisugg4>n4cdbFBqu7cnMU?+GNd`
zxfjT8|Mtg(gxtKinapj`3+fJyu)95=X;9=zB(7Y&YJp_9Naohd>f<@ypnePO7RQ4k
z5(yx=O*=t6X~8em%2&%pJ=(LiwT1CS`=rCd(avbFCIjg9-TONL9nIVD@UCCKvh(tG
z_xC5E48SrrFj(iQs;pdt919Ksz~fjrg!s6)Z@_}EIgK%K7gXovL1_SYP`Y8mTWp7A
zeWukNesJ>`sa4ft{~A^+qH3_bYO^MMk+W<wc`|DGV!_@Mr^&j2bHbdbg|6|c)U0}M
zi4Ej0%hJ)Q5kJb8vcq0;n%^@dzob3m3Z>|LKTq9VX!Ew(4)gYXH@AcM%M8`r?6fDg
zY6iZ(Hu=2V%q2%8TkA;WUutj_K-A>t=5me8nq^tR&Ko&9Cu?hK*kXfjDGVAfQ%r+-
zL}97KtPC&|ne9ejRyXX#QBhWQbac$g$uYNqO-38A^<tzEie3(EPy+|Eh~K%lnwlC2
zN@$A-@Cf7z`es(Yp-xsoTLZpRLg;(|sdjdD`uqEX0tlO_+>dur`xiG1`gpD-wL8!H
z5<dZ+T?T&Bq@C1^Pm(z!Bf~i?_%Z=SMdiIE2Ygnep+~F-eD_UDNm4S^!m;M4<0gX(
z@cHC7Ox<p!lT3a+5uvpe^74=)PeHwRQCrOeS}!^cgi-Laj_A|2&TQ$lFgz{W*OC*c
zPn7U?ivzXlIQT_l5W(~Nu_W4tF>lvGlN((9DS3lxOxN#Hhm^Ia>@%&hiYq9DNvF{U
z93CH2e3K#A@96BL;xLqSbo`#7gM)~ZU0}WDFKLfIY}h@r_(9QEMXj;!+30-AeQd_9
zZ$<_o@slC%bRR!OXi7@vl4~Sjby?)DMr?sXgoNog(D1qL3v=zuHA#Nmd-HT%6FXxk
zKZe8my080g_5{%}yPX5omhJKG$<HdIVWFAm#?s7z``aPQLs$DTyPgFz5l&0;2I?_1
z3avbLcU_IZ(lFGJf91vm9wgZKIqkQ)s&2+mUaTQj^x4-pc{8YS;$A{ILF4A1b2iQb
z>Z9GNWcj|Tch1y84j-^&11wx6xUau;YAn8VGJ|b>9hr}VAjZNJuBTb0xzUZR#3py?
z?pI1}$}A@OkUvtGnndOt%NT5R5+$bAPloh)JLjM&I1>^$=@^ueF_-7s;Pg2Zzq=PN
zVwcc#?(UZ;|MU@zZ)Df2A7dbHTj6dZ{HBK|ey22Qa(V-4)p=<Z^E;{*(eczKcVa`0
zOPC{`cjT7uQp$|x<!&LXT7&^deE3l)@x)6F%JNWidQwKwJ(hT)Yvlq61U)7Ovi_lY
z%njbgcu}8*UhPcsu@c0N*4LjqLAqOhmwKwyT#I66^x2*|RjWanc`Fok?{f#rZ(YE2
zE1?b3QHVV<o+?yCc5ZH3ft3&ZM#dNzdPSJ!>JInRcw1yv<CyT`*KJLlaTA*-@s!A2
zw`r<{TDs_Z@$LG?U3T&ODqGzV;l|Wq#uM%akF)#|7f7NM=|Hsq=s383Ig+z6YJN4X
zz0%1Kb=?bNUuN7*Z26I2lBip<MOW6u#x76%E;5F@)tu)9iV1g8E)gO<jh`XuoUA5}
z0agAd>VwoGs5qM72CSGpFR2{PZE|Y$Ne~Rj?-TV};B~2^yvZxS0lZAy`@%~k->)vZ
zhR-CmxCeOr=gysON|CpvkYT~@pH*z-M}GZsVu55KNBXogxhReFj|@JMTr1-9#5}F9
zbPg9vaBYYdWBb6!^J_*cjmE4TSKL``Y2HagF3(ZJ=mY+0A-gq7Ty_qD`0fvGf61T1
zcy{-4$G8%c72HUM&5BPfXD?c2D1*$xg9}v!BC@84CaE8>;cl!Sd`cHE&IrKtzZ>^m
z@Wj#^;n;fjy4-xWdux{4qL`FO2^rtjiW1E$so+#L1Ouo2tiK29Lnregx4UzuTjs{Z
z-%ESE9NLMfrfuOnA_wbkE$UKsTzx%qBwk8FoWf)h+>Q^WX}&)7Ku(c>eF|VG@ii|q
z&N@YR<m;pIeOYe7P>a93I_C<Tj7tKUZfPAn%Yku07r%D9?bf2<Xs8goTXVrwOy=
z*Ym>p3!O<?2Lo56s7LF4v+$;1`?moA0NGd1n9WcDSz|!P1D2uSHlJQJ6^;&kM#DzX
zt?i{@hqcjK7`WD3E{VZ47IOTl3War{A*Uq1tN(RQ{f%*mbemLr{oTf){(f`r1lX~f
zqk2EBJUx0Q<QD<9w-m-dhx6^5tS_To8?FjjovmP7vOer#ccEM}<PCGm8;m*2{Yh!K
z;hS~n(m<J<T>azcZ^a?Ll8bk3n^*kJ)7|$at+cCVr2-4?f;S0<P&P(Hsex-IdQ$QQ
zQO$Vt{SACJQdZOiaqFSwemXwi6XDKc`LYOnHr%bntZBj?*%5k9FHj6*Y2u==h_Mg0
zCYdKTUhQ@k2TacNWSMg>T<^&EbJjHh<31KW=@H{_Ggofmu?LHYCb6r3=!3cIPp=tf
zpu_ga0ln*E+7B#7w?pgKp8HJ}jwt_H3YI6X;)o$53KJ?KnH*eqGr;34PwES1_diP-
z#w$QLeq57ZT^R3tugF-9s_bLAZh=Jjzk5U^?9Zi1kWuY*QGuVbq<#T|(#K@QJ1&@e
zl055Z$=hrZY_c(LpWhRaeB%pA3SaTmo!wt!jmo$&TKq9uUQ|H~UD!WnF%anpk<GWy
zd0SdX6c9W3@!<~`x|A@{vaI0_)wU^DwLw3ra7~2VNPQ7~MDr0<kUpdEMDuP!qQc_Y
zH!9H)14P{-2ETt#wblEu_WgrKp*+Uaj+YfWX1TGlW*@)<&;gK^*#Fm|ha&&}+!opQ
zj-nG?`yjlX7vY)8zW>t;aCfNY`fOQo^~$)dH^(MY)=n_gue*puK4`;jfxS4{BaGgT
zX#eOQd*r0z_qLbvbRP5eI1!EU9dmdH#0y5K6-$LN1PQfguRi88@ZtK>EZTPWD1<AU
zl?|KO?VLgtojbtU2sik(xw@6|{*ZYq^O7IgBzp~|jTqbj!xtQTgwUh!XXInbK}#B3
z(rs9XHcU)mf8Fyp2E1&7tar>@>Jmo*-Og3G?c*272Jum^;_t-uR*kq3$V|`;7Z(bO
zUryfq_DK5IAVvh^3sMn;zY{ErO=G3y>t5HHi%}v>7K$M4?yGkAFzi37twIS<h=zyb
z4X>FUUn|UVYpju{`H-cZPBlmHI+~6PD>EAlx%#-Q!M8^0to79{A!1qwYJ&IhN2w9P
zb$1cP?oSgNrYAK-NnFFV-Q(gug#4!N3>WM*F|!$Na%-P$hzlcB(_bEkR~G!_ymkil
z><N3LwpQC)ow|j9K@ERJcXs-y-L6EHo84d*(Ka9#KqNjcWBj=AYX@to_v6LNi*X??
z6sF6odE=i$kytW@a@W>UNY9qboa@pGCU3Nfe8fWdzlVk7UoTG=Mw0gZ>CuxrJM$s^
z_>Wmg?MjKBj^$JuX<<$ywyzv*Te2Yh@1S?~?0Wh@XAc52IBIStE6V7DD;^g55^sxv
zYw2!r@ntK0JT}%?*ce7E0sF7<`E2P{I&Tu5Zuwy?5+%v8t@wV!i#O7!pL-x8eB8f|
zGZ>#>W{Hea#9fk0rus%5rDsqfHN`k!UCO{ep!C4(@1GUWy8)i4J!lKVqpW?l*wsAA
zmcEdXAy+*};p0)kwC*hLl9Nal7DWmwbeBzt%2(gVL*+KV^y*iK-uuYNd69!kO=Z83
zpORVa`)s(Nwl<~qE9`)VodmW<q|#|U#IN<4(Hmx}D^%~tR#oYC_&nD1@ew)8ZJ3yt
zaKWrTOQ0$v>v6*QsNeNFCNVKlG0VxxY0hC`?NssmhThPQ*Jn#)@-qe8Bc-c$+HTxG
z-W-c&Bh6B8<UB`f^+beOrz<x%-dsOYcs}$4JKpe4*<g6V+wUBHW;-XPblAIN3l3bb
zm(KaPn0>_Z`z;J))>+UOyc@A=dYR*ZE$YH0S|DKt%qjHSa>^XwvBah2JTtjN4ftEw
z`;h&gaeM@}ompUbqWjUlVl$=Ue}WA72j~JiVGHfA_jgS@zyy&3wrO}mLp-bQ566Wk
zQc{7SXX++5i)rTO<e)9f08LN8-I1H0Z_}Ip7z}YB=uq-l8ke08<f_BBJlDr7p*02-
zcW-U%pypumT|`8A@gi()KyL~JnjcMCdU$w<i;F`KAr1RS0p*sCPHu&Q6L|{wZMP{O
zx3l9t;D{$$TNy#;qop-y2_=Vi)>X|m_AN>Q^XK0BgjfI9XDXTU4zQ<086<G8+mzhq
z;(piUUQVmTlXD1BoYHhuUbb^JG4jT&R4_a^VLt#jD64wyxw%(g*v|+77p??doD?5Y
zzK%$j+~iGDt403Pl#wB8tWIAV>->*7XepfLpA_D?>${_o^*d7rU%ue|z=V=3*^5%G
zkWQmk2SS$6IhSfQdS223^t`agSDwLkqs}hM!iMmWcMx6SC`NQWus^|$wOME-;DBu!
zPk^v|bB*qObhMDm-}%+DO?9`moc;N&;}ZeNT$gumHr>}f_IB8aiCRURS}(avv_*)W
z59cRt*|X<jz-XKU;}j4HtSzvAi8aqkp&14*A(^cK-lmk46bu}Yaul@m{QUe(OiYZ7
zG6h4yfq}{YDM```z`%*PuEJKfm5mLW8#iLX2lM<ncuI=>F3x?=j<>!YfuR~GqgvlH
zK^7_`G6i(_3jwf7?g7OItexptw-gXxuq*xpF>E{mTZn?bjI=aT$Tbfno9YKk68Aq}
z6(^omU~2AX{#*Qqst+8beN`gvS#G`op6)4bjn>B%!TWwa%La~pEc-N2U1aBvyo=de
zDfw@8u+aK)eG49EV?QoRb3xoz{}C#baIL`da;<8OqsQ8$NGZ;Nx?il0sDZpi0dlnX
zKWPb?DXW!mpiJwWmcoJ3Dk#{1osSW)FS$$uf(+sncGA{>zy|w4i-rV1{(#p~l9FJb
z{!&qK2#zL*MxYYdn3<`#&7VRRF__8A%LBpQs&o|gaNZ&%9sl9-0Gw1n9fBGSGYxw<
zXLWZV@Ikp-Us*w0_u)|)Ks3h2#DMl9m9LhSk-?%@Jv?Y-BAYwl>Fyqi6gh@RxWJar
zZ?IX3g=M1J!wGss@GkQkw-Kkc;1XgWV;+YN-(F$5e#$?v8LWTTHS+)<N1mE3cT{bD
zPfP|urX60Q*T|4X@sBDI@{}{)V3N6-yo+D{m>OZr8axCD_penSGRcKMtp{&}{Ni6c
z_HyfB49y-XnT%Q^=e7P25z!6QcsNqTvM>CfUzVPp9-o{ufcU$?>yJ`z@MwW&;dlAl
z4~svThz3bb{abkkJlf$jVv4w$<+jv)en7Bqffaz;cATG!D;gOEyrim%N*{a(hPLM+
zD^M)(!*-xMfo~49NB5y>zYAZ9Hn8mLdo0}e(fs?j4Q%azO&D|mRKo6&D?FTxf`Wov
zTu#6N!{ZX1>%CvRm_FQ^16uDfE<9*J&_QDSSs3o-Cn{-+hxMDc`>5_%A5<v_6r#r1
zKAau3ZVRT-V2m*wwl<x`V1I1Z{d#vd)SkTg_TNK~MA2KjW?&?U8CY6~Q%d>D_TX*+
zaWPS8|ByOsQh`Y0papH-*RM>1O=xX->D<0VIt?swM6|}R#RH6T^Z{UKs3<J_lM)9M
zII#rmb0)cd9lsoQfD%z~zaid+4K~3eUk5Bfo0P--$ZL}@v-1$PAAq0pZonVm&NNdA
zSre1HwCN^tbD9FF-rJ8QaN`B;85tQpzdryc0(F9fgv7|uu-|fTxX1_(z3&T{&CDtw
z7#O*^V~F3Uu&#gq4XnQ4PZ<ZHYhicZQx{QH)U<E5p0m2OGifjcTZQ?)@tOIUo$6Xw
zoM+noN>08sn?!GTmvvImW`D^ks<&!p;O741+v9S13@fZ#!HVvP!p8&foCzASGUcze
zwT?61%1aeI&ai$csi?ex(*YLDe%u894a6%jt*|CGCaT<kmxq1lpg^u!w7^~uTv}5v
zR3f*91nv<$wBo}JZ?w*FYseiQMG|`D;P1dY;`hnP$?@^6=pg`+4IUYAy7~Iq3~a$o
zAvP4$^uG(-8W2RFP*J)F>Vo)F%o%uhS1~|@XxIt19$qovrNzBY+3C7UX)@Y9x&KKF
za(JiWDMQ|O4pBpzSDcg+3hzdC(tivjb!Lb=R>b*ui=M1YXIc0ux$jNB@N&JS<5)4M
z{KQS%v;2nO47jQib~Emlp42TUe?Pa4<6Wp8UNZ;?K-aur;_u*M3AY;W<yZn=%hu-R
zr^b$ug=f1|*f{Xm07oY$g{glJ$B@h&Ff~3cO2=Ny-2eYakzx)6gV1vgjjzht%LKSv
zV4AHkKd72c-XvTZFzcq3-{&HD+1~iR*CW{MQ4saUcxpfvD*5D@hUn8~zc*gt$?Rti
z!#&vKvNVo${yKGcpS}a<iM2|6TzidvP1j2dum@QUG9Pmv!V_=uZk~hvA07{cOY6KT
zyfX{@s<V(-iCGmGdxnd|&LVt)DTm!Y%PX_9hR3sz_X2=|C+@?J1!;cyiJiPbBB-js
z#?Ar9%~rG93qpaRkr9}^wM)#4z^wt`L9f=k5}tTK)y;JOzU9UFnY@Rf#3b|oMcaFa
zbN&DS;;)8ONGP%+O;XugLmJk*6lIi<y~)ffGa;0+i;$4LXB0w&WUplJy*am6@9+1V
z&$+Ji`(5Xs<9c83b>%gl&&TuexZiK<?kmmfxN3E=3ZjkLPp-!gC+(nQr#`8}D@f9L
zuUI-KRYCpOa-fCg&y%7a{wZ5e5BWQ$zZywh`B$5vv)N?yk8WA^VVnJK7Ylk4mv%Xn
zsFZ2h_~mc}mS+VPwH&UhqPx6UJ~Wx|=O&lI38lpCgcs4Po_6d9v!k%rfi}4Bys?0%
z7tuhW>LbAy3VIO5^#cJU`LUOMXklm~rXmrO9pLnzHM|5x1&+?p;9vo}**^eKo6=@*
zpavaRh}-z{r$iy1<{~h^-E4TsbrNS67k?RK5wA=fqLRX*qEcGMAhUqr6F@7-p*)-j
zNHCC(6btF6mkZ_l1_sO^4HkBoir&Y^S5{PjfDP3eD1;z`Nvcr7l9Y>?^y2BEV@5l;
zC`NSS-}pC=us%yZU^y@{>hf2UY<=TTGCN_vPy6Hc%zs)NmfEm=KnglHH&?R!n=Dwf
zHe*tDN%ZnokOX6W0R@<4J%~gA-y+taysRwJ_P4i}mlvwRLL&TsUPI%sV_$#&C9eA8
zSCp0F6`MMU<Z4E}1S9-eI6WzuML?qmM@E85CI)xlPCl%D344Bc|462(sd&k-RX!F9
zgeQDrV(ZwztnS(0U@LukN0z4GFnxC_wckO_Yr@_ce1^;!5#kB6!%lRI{k%+GCd>1p
zH9^yP4yW!q?fTTfBRTFl_@<A!O*v)UnL&p}RI^Z<EqsSdYG+u5#hGzh#^WlNYUie>
zuU@~-?nbl#Sp5>r*oV)C2S+Ip2<gLIM=)355s^M)Wo_?-Q}~lw9uI^ju$#Sn{d#C<
z2o=vpm}&7lni`smxIZIg3|8P@<#g*H-;7t7W%K}KEeY8Hax~mtq!h0jKq+k%b3K;f
zoaRnPY_MhS9{m${??m|d#VuijbVD&E;n;4~?Ql+Gw|Es}WoD_?kAmh<iZSxedkZCk
z!5vmisbvPzT^nyHU)wY7*Oa3X<$ci|pb#b#lEf<cKw;$4TFHr@@v@X|Q_puC?%Uxa
zCzfw@n`GBUnnyT)q~jVGb4Bo76P<Z;sKO;y{?N#5)LO-fBr7q}(&{9X;&`;nVdLP?
zhIU1o<}2c%JoZzwu+(vtRwNAvM?`?OFub#jB5~gR2Fu|8&WmkP3Vxr%<__tJV8lkZ
z(!Y6Mu%jNAn}XgbJL94s@QUcvpMoa303arT5soMP^DC5jiLCpER<22ShUyp6wP^G8
z;Fr8dt?g~9MU0tdL~Wd6zT|cOqi9W6<nkl!%<f<>KeVv|iit(>g>|uSD=o!4J2ozl
z559rpRVJ8=%?-vm4?CgGAH*_^Mg011edGh>?h(1xfrKSqUXpuhul~PDv}-sw?0%{#
zDd{{qv%0fb9DN1R!S{X%-oWa*y?KZb>Jzr@v+<+vj%zI~(u#73h^wwx{t-1kFqHl}
zDkJ_BiKwm3^Ng@k@7Qf~es^!y-Ml^&&~4{Wt!&LR6d3!ps-tRpku2~2dFR^A;{+GE
z!h6n5MMS>s<6Dgqf5}I(4zk2#4?N&VHG?pL$I%8olt=_O$|*rX!5%5FeyDJe0)_*Q
z#Hg|5zH>xyaGX-2Ze92{BN$rw9yzZJy!MD0&QduYan%{&XX^%W8;iIXkOT;xa_%kN
zw)$joYc8(Y0CiX~^f5pOVe0X#6z!JL9udl8^<(`eZ(HY{#8@9O67BIMD)*lUH)(t9
zM$UWC?X?gkv?`#WFEQto@lfVB8ZOZfQ)Oy#ul|y%{f+w7bx;yIO*wizMB^5U<&gq-
z6H)TGy?}5GM#?#%c}PYOGZqmPbjhX!T>)61Zrgr}i&fAdsAL&DyaQ9v3N}G~eSOIN
z->d&dSRN`DadGjpXQ!dn8&I}H7dWi92ucd&?HiMyV++`hY{!ywcC&$U=VQtw3i%Mz
z1S-!$>`JndsOA?h(3iqTi)h4lP(JCW&Y)0sp?Tj9uryog!~xN$k;{R7zk9pR?J@7T
zyEm1qXz<Ov$-)If`O%s8wMI%}=S(E$LI<w-8r@LQj%>63{mvXA285hxFP9=x!(X2g
zHczc6)R!kVN2U}G@;ZD{m3lv?as}Qtkw?&pwN7?bI6L5!fF3byf8d)pdip)rf{vkh
zUxw4`xP16<Pl+Vk`_$AIcKKoQ3@J?`4EzRCIaXu8eD8Wk><<hG0AB_rpAKq4NOF#6
zBBv@$(iy>9C8kzMIBSW1X2kv^DyMXVlee<6f<q6Uznq*UoHx%|8iwv=goSnBTEHLt
zIx0%itoMBR!#}&(%+1ZEa|GaLOwY)G`Yl=Q*OrLm>O54FyV)3gE5@JB6OSfJ9%95|
zuY#1^Pn1dT|GCz7h}Dm>mQk*5sjY*>qozb=@7l$gQuiYc_I5ohp*+>UT|~CU2LKAv
zc!xu5b4|3nN%z;r%eb0v$M~B~Zk%K3%1_w7J$Y(;|9|siYfVwcR;&4-sxsyUaB?k<
zHjkl7MK;yjZP<Cct>hhapf~jHTa<8Im5q`RKYH{i5)MCpeD+HK9~hFh5b;iw07TI+
zs8{fbknSO}W;m<m9+>LL5vxgo=1yD;gx4ggWR1dJi~9dtZ7qmHq`7VMetwGJz)AQk
zN9OZ1cCAC`9O4)pxmHAQx)n#W^z<L1e9++Mhm(qNLIrG^kd?<8iXqOW^!s<;R-x($
zhbZAn1NTw4oX|eGr=*o);YI7=eZ|tG2CD+`-_Gj0K)Y!?@9QUHm%%?BHse?6=aIw6
zrQT|OlJQN8ssjhZW;|Q4yzP};3y6{s5q{?H?+=G)pIB4mgX51UBe&|iiz+YQ9o*`7
zrmQ9KTFmc!#vXSqKQ=a7)A5#67Z+uL$rDyF*CfwpQSI5unzLEfmlXvwSPYVbp9Lo9
zMK(&wT>hX`{i|HJ`Lf&gOH?=g>dun$&aL&QcbM;k%(<TaUOlNlOSyQ9+7iE@&`fbp
z%R;f+WU4*K_f=KPpB*^|N*Q%}?S%epzPzn8#UpgmgU;6G>DKsm=Secj&8NxY1?P>8
zPp@4{#gRho{iW!szTr=UN0%<`_*6KS#;G8+*S*Y4(jfKzwQJv?VZouPee%-|f=ucz
z79*FH?rty6SCx)=4-bizh_#h-)%8<9A-mr-yLPfrzBu>U>KiGID&NG<?qBLn{L^5u
zdD~omz<z(Vft9vlfUqlPpSz7=_9a!_(Y>9dGV}R1lUZ@cfA4KzG&Y)izW<X`Xr~!r
zd(c*0d3ux4)wc4RzT7Fz$-Q|k_6q|2!P808$EB8!sSHT1{#qjD%${f3IjzAMN%%(p
z@K3mvVktFch~|sd2@an=X6mqzjQ~59SjWv>!R&XIDn3Pt{a#w}&pz6GSvjM8ud_nx
znWdfe2MAwU@jAWRclTb{Pw8!BJW!aF6miWq(KwtTEU!0y#lPjfc4fiYqCz!gE<gU!
zwrS?P!+W;cOfQDFm)zyv-LkUd*4z6rRxybjVpjg)MmiLyKY?>2?DizEB=J65QWKVG
zdlgpR#_&sILFCTFdiM`S4%_Ym)nmb;`uh1VgnlJV*{Cj&UVdNut2xX@wSq3tZXo%r
zt(R8Ngwj-4t6hHRWS>Wm<`E><5K=q{ER$L{lnhlQ$A2d!dG_CRm<n;*s^Tg-5+gjs
z9cEU?`aJDmyAE$!<lBQBeMRP{MC%{s3{4zzpY$N5s=(82dlHw+y=}N^uKxkmgO9^D
zeD^}GW~z4@+D)rz*He};2RhNs8tNo$g<i;$qHNyIC%V+Fbg_EGSJ-*JCcdK0l6Hwl
zRE8<sm+WWTtDG$Xx3=M~>APQu5jEYrw~6him%1PjEAA*y@o4ZZQ*D|c^K*MfiIZ)0
zML*oazwTDf>W=HKwK-vAvxL_#8=45Z(yiBe;FGz-gkZ{vAQPc7jRz$x+`Z#%gJmHe
zm444WnP+L2V{Gv1)Ax4wy84su(zrOS{g9cZ+^3_nqi!yL`FZr7y!Lfd&#fyJTPmO4
zNY1s`s7^|@ww29&T-CRT)D^$}RU-C<4vVPz{cwNliI5<^uj7g)&%3{oS+?I3)W9nr
z-Z_2V`satHuUkHTl-6}`JD)o@@k~B5Zzvd^FOU;FP{BzvQ9Bp5Y4)gc*UyJZ*(X!D
zC#8Zzg{R-Mh4_r|D2b+CnwGu0wn(~b7em}{b>SG-<9WU>4&jx<DYiXUt)#hNcO$Ol
zg*d%>MWcvrQyWC0H+2sf@$dae{JVkHh*Y-pR2ieg_DP<0;fGy~{<Y(j?I%10ua`X)
ziWKJje7a_TlDym%a$>%ZygPxVc0Wu0nuLvfM}FY+`t51~cSGue2tF}QhNz4W-7`lr
zj?|l0on`sO%y?c3AFzf+UX78YXwIZYs`Go_6J43+ezzt4<x6Q+qK7#w&uyJ$((E=4
zX%?|&x%0VBon!@%E1@)Pe`${Xy-=+owm-~y>24CvRmRpFI+P*;8+G!ZqitL#@+y@$
zhtkgH`#q0O?@$!4JG)zVV|x8<ktVyi;6?|DzIK!7zQ}*R)pI>aT;1?KVV0gzsk!S^
zIbPhQV<p#t(7W(BN_1$Ft@HT0lUr#-xg33L&*=x|1zv8#jBoUBZ#OU6qx-U$c3HsN
z>s8iJaqd}B4$CzC?vCl%cKf+1v#W6_SudRg9g{b7x_-=w85(Mgf9h&?8~1E^c6(fL
z@4Cg()yvd8zO0HHc*jDj?aSFUt|LqN@#2mOT%M^X_Z>K7O16G7ReyzDXONMkwNt>N
ztZ8a}s@-fotc>3>Jt-;POs=zvwSF#4Y|&=iC;q$7>#=)<YPwct-Ny7j-QvzZLKVK}
z9*>2s;gKTrGQ7D+`FJ@#w57ROpO1mv08yif(%J#ZY_6Qg8_BenX><F`NxweqmFtO%
zB^#KYHMLCN<@{39+<I62*BpjB>8@#dZH?+rU(|jT)1@mLHJNCV3G2u*)LlHec+s`(
zk)R3LRCUODujT_mleyZJE35Fhmddd0=#kz-ZWC~#U&xvvo2`%TuEwrzz8(`RZkas>
zP5l?U`30St&bJ#}>~^{+&$g<oJG5?H@BgeaT(X+wPK1?)TUh*I?Xo9S8Dmm~Pg+P2
zj%pI-*EW6uUuc@Psx;?v_i}v3?Z{yH9PhR$uaOJ!+)o9MicKcdzcg%0dc<~nfMk*P
zc+Kw&4@Cmj-#X`>_OVDGeeYrH5;N~B!#wFS`!|wl=(fU&s~-w(-&sd;cCEPeLgJaF
ze9EY2j@4D)_D-s9W(wG8znF5p1fvR};e{(HXW=BJiNl?}$0A-k+3b>$<k_4T)v6yg
z&yeN)BhC9q(A`k#Oog?<YJ^usxTL|Mdd75>f&d>2$&XHQ%k*}dT9lt94^bs7|JwPE
z2d^l^xP4jR$`{t}$x~BCEL<K6<JN&>>*N02-<1M0_-eWmm{_7jKdMrlD}3=<NPC}T
zy*JlJli97wuDX59qPx~S8$=|oamih{g02O@VlF4=js27r_-%acavt(OWoo*;mEyUd
zD#2hmOx>ckjb;D6g1VRGOE-p6baV~yOw~NGG$+ThYTkc$bt7i9Wzfq0b^IkZ*EC*(
zF2|LhLY3B61^k+J7+%}!W`;XT=-j?d%;g;SuZ2$`b7F3?k%F3co;cxk^w;aZs+ZZk
z@2`AfEwJOF2KgDcOOscO_O^K4Ni-F*>()C}oLkkFs#o~pO;6*x^JYcotDJZ-*OQU2
znC~(C&34OW*>3CN*~(YbV&D7V^peRQvg`?Ou?cUVi#&8qDZ-W+4F$;?WD3xu@Hms3
zDy~L+oqjkK`JksgPrSS6UHo&uL+X1o-eompKh~;a%{snz+U(TYYX#qa?>-7rjqH%V
z(+5Sf{JzcMI}l7f`KJjil{Yw>DVE04v+9NKJ{{@`zWb~@Z__=#XGoiZRw(AP!DN?j
z(2(7yU5OPrC)LWIJZNfvByHLgH=nDgV@mTF*Cw$+wDN``o9*F3qRV*yZhBi6QX>kE
zaPhU48#N8$@z!1UdyJ`m`kBUXQwP=#<=xeINp9oy_slxldabl;ujt(L_L-<Mk|nDB
zQN(9dXzzAgLjCVnjj*rs>{Hvdg@h*eep8dRsTavs$Oykxc;5D~fj*%w*QR&7z$?Oj
zWqtoHGTu(}F3p-yhLG9-pE=^bShzdx$Bxe9+zP|v<I&|oL)c!Kn|0MI3=(s8jq)h1
zi8%*kSs9r-WVB{FCw@2bosMXT7ffde4-+^~d}axyu2|xS)6dkVI<s$VbPak{&;IuM
za7C^Al7h4G=Iz&;@h@1o-|OD$sI{UOsC*SPr%qpHytidH`FmqI4>CKtB!$gww))hO
zh&Su0Q=e43>lYcj%DH$_-BJXvPPlSm7fY$CzCY!@mCXw$j&j)BG-}$ia7)DSHueg<
zdO*iRFs*N%su6#{kQnCMefhwv{gPbRkOg$mhERJ;u?NTkkTTk_Xas?9EQ``7wQudf
zq*M*S1ZBaU0+U5OI1Vy$@|RaRZl1iq?@sK^qP59_w6rvEa29!D$BqpywA|l9gb`O3
zG2s?Ud|+oA8yoN-NgyK|^h#TgC5Qolk3>&aYU<e#*<WZ}Aewca{`}xc3j!ei%>^K3
z@ZIroj`qL-uDj{lP*)@WVXyl|?$<!oMUNgGKogZyVws4mX?DJ~cd;l*E-2bkq)0}J
z^>#_c#8uq`G96KFHX9R!O6oV{bdk+DG(N5*CRDnVs$?x8MeYyyd;Ii}f1r}H%Hz25
zdUZ8wUgUI^&kHL?wh_Mb7pVoG|3PyBcF5P)H*3Kin(pz>XvCC~?(~g~8MY$~Ll?d7
zcG09ypI8vr0add12|hj`UWK{2L~9NROJZk&ylDL)NC6==1p|T>m+Q=#`s(U-SX%(A
zqB%U0KO|~1`K7Y*e!i7AKQSpB%{Ee>@MAsRI)e+ji-cs)<10GJ$Oj*8SaX&m*}3yW
z^C-;i_yOpYq?Q*rWa4${unQ@&wX)`pKI+;q-8aq_%@!1QC~L;;P{)m?1v~A{pSD}u
zDEjm(Xqj89=^I4ri*|6IwU*|X3N0EtwA9^5eevpd1b7h?mrO=W)Z;kCqmOJnecF@!
zUS8pPr1}V>L{;pC!jzO0r9?Reg`sbmVXva1?yISd!;(BU=70<$WS?pREQtG#JiFih
z{YX|4)BEujgx02p6TT+`@Sl5m0SzSeDdptkL<IS(urN{c-(PB8p8;`V=?f<WP!ObL
z0*(HabT{Uo6Qg5eO^uB}xq<-61HD7H=shNk(08y<d)+m`MK~{)vwB^PZz2L>3eKyF
zuz<k>(UNpmt0{|znvPBo*-}_olCxDukjnJ^`*-+JONc!5=+6X5w#gX<#@lqGvf`bc
zaC#d@B-@pxvQ~s{STs(LKM?ZiHsUZ<v^8B8D0ez!*kmZ)C-LO&WW@J6<LL^?lM(U3
zu5w>4PYEO+##Pf>m|VY7vXvLySkL;bJ7kn>wY<di<fiOU^$eh&s)1R+AxxsywQ+Pv
z@^$w*Ci|vTr`NPAzu71QW*#)_M9<B+b7`On#h8(;G6N(}Did%FH<4IN15Sw^7#ZNH
zycRsXyv+s+FW4^qO1Yo%&k3&+LPECitN~^LN`%MjVAmX0mX}^b^kpvl<LvM|0Dvf5
zpRJLahdq|8NSc-i^8(Bq1?PC_(k1Vz`uZ~h0*h4vN0753g`~85qH9B*gzo3K5zg!V
ztQa^!{0IDspxrm%_^_eeTPhNBwchT5rC}(uan@k?TwTp?>&U#}H4BBq#K_BOrjPfB
zTgj8tt2K8-c+AooaFWSAafpY<K>O~DV7Kk16gvBE4-XF@J5)Cyn7w{|FBOb$nIEfX
z8EM|Wee2={yQ4493LY6E-xiGox0j+H8uS*YdK9FH(fCrc8g)-#U;xePt%nWaxBW5p
z*qhg+a22GFJRVQ0^!kvO*EZ?^>$uLq4ge*{J;x5j9rP^@;~nOx^VEoLDt5$OMK*6v
zxSpJ^AWGjsRzf)p=`HfofF0ttVE571))vDOoMd4Zic}0568!UE{DRGG-?=)?Ussw_
zsP0ns$_?c(-g_}q{pH9rrb$(96FPIlQWBbxE_qu!yI_Z&E0i0P^xs1S$;VNm_#Wgp
zJ1RAWB_myz+|XU1fAs1v{SO*x*0a|VzSKUmh`*|!&;wWv@gMNd@IM;8#dZdM(43nI
z<dl@Gc-sB_6`+g(D{XDPcz<)2uAv+e&HJcAzBgXEe3_~N0*UwrJ#8L(D)l^zSfnp`
zAy(|cPuM8~q=4F61CGQ>YH#PIqF@qAg*6fZ=o>v-8~4jAps%2y+H;2146ruQxDD-z
zdcM^j3X0~D<w2znw@zh`Zi3aLZ7mV1DwTYno^F9OB9&xou(sIjU?c0p{)opEVc*Kh
zDqo$xy**9Voj^T1@LaKFf--frxj&0atxU=Gx$)0HpT<f~n!K$*$A*F!p_A`nF3jQI
z;4T!e@wB8``;%6}t3D%PH$FwKD<X92V7)0S?xlezO*nsTspO6voS@|s-<-U?@!eGY
zwHqZFnQEc!IVvP(%WAxOBrpULME_>OOSv=0YchsOH0Qp3uTv{F@83nG&ld^`I^zhK
z8>v4-LzV1im!M`4Fw!!tm&(-qy4Trx3-(DJ9UVAk(%3DL1m2xzsS6uB_7sxh7>sKG
zFo{hUz!U;mV3%9d34_P-&%i(t($J7jfKw2TFY13U5C`-XF%1C2bRl{%;`Y4w?oO)4
z1t51AC;;>@C@82)T$(VpGp<LS3r$#;IOpoXKFX78&c=6UJ~d=+Q>Io>TM%`1qf6{>
zd)nnHtMFiG7jfMrmw$I2$ufB7Ya0IR@;=Mkdn5I5!|=t<oIKeE<p9PFIQIilq@|^$
zrV10QXGy}~2V`wQbOYo6tDS?Nc{;FD!2Y3CDe*=J_Z4!8GM1K~ol!4=mZ`JD0x&mo
zuI>aW3CTBYgjALDXD8^g6K%6jPMdILXF<iVwY0U#DthA8b-KSHcbdV?bnHAlvxvBX
z4rE-lJlb9g3`^xPGP8Ol;&foQIVDI{dToEH<lANgBps@<+k+D(SJu25+c*^IV1n}l
zrtaOnpA#k(c(&R<$>%2byYYth+~YlABmMcQYHI&0Z?w#L!DR*fU=;7r3a52^!(MH&
zx5SyOZK6%X#H28msbKosT==;me<xIrw5LlX*WR`XT#uO|9hh9}d&jWA_1;E9!!(<9
zQf;3w!n<5v=PN(BbhBticZlK(d7j!PrmWP337!G{e)MQ8_&zaT6zvJ%4&VZ74S*Iz
za&0_=s6qnYeVKInk_QwL+E;PrK*K;pB?l{%m6gG%g$;ZgX=xsjLiDQ_HrIM1Wn2`*
zu^JjF*4IL?bLZ~egqE?VPo5whYZf7XoUf{hQmmOTG^h$_m;Ep)<?H1s9nv<~-;3@c
z<N%B8mb!WoP66FWI~|Z(+t=twx2^9$(Ed2-7KT4CihtcpjbNZI>=f8jO%5@+XhbT`
zc3E{fv=!*Om8fZSMgkApnlw+QrjySg-RIqx_i<S#O_W6XO6|UH@*Z8kKM^0U{i?LA
zGHS&)h57j(p@u=_hS4KS!QAQw2_e!k-|Fg)J)IXt{MRfopb-}Y8$i;r!reqw5t6!4
zBdMvWA@T<{vg<N3k3=A3nFDMnB?SRPQmh*H@tTD{p`oE(Rc43E9F9d3PZf|P&%C^Z
z5MG8rey^)3Ekl3)6e4BJa<CSOBaRyjE$)R87^O2U#>mLH26t;(CGk_OP2^;xr%U^@
zIL`k029|cu$bDddl&KF7-c0zZXT6i^(MY4ap%z0af_-Ja?pm-fnl^aRo#<OA*H<`W
zaEPRXxR^K!bLT~u0=<uDK3}DZ*7?U|IBzIPz;ZysOl;_PTT6uJg@?8mYMQ;4(#OTE
z!^IJ*y!wd7bM32u!(Lij%kur7GgW0A?fWIuly=bdEVS}hzOoT7H}o5ux^vH7{Aqqi
z>SqU>3MTPE*JEM-g3}1~uN|zL2y4;EZo|kRaK_p^7#bAVH-pH3Z27-hTBeX%FjyP%
zyW$5H1Mu(?RM)7bxK5tDk#Gw@Ej)P2tag8>Xmu=aKqGL73X5ZS!M;4NUg~FSYn9S$
zhCue>V?0l=oKPWA!0}784SV2K4(Q=vj>cII!{1=k=KS&Uy3>31?xkL?SeqZoz)YG5
z`5YMJQ58Mj$a0+1w_|g0e*5m7s~6NQzD}NASGixqONisKLYkNC;TiROK2$VK{Wzgd
zy?S<A&ZvvLB|Ovm@mzqAj??gjTITNRq7j=(T9-cZ#|>QT9ees%@@(jAY^at3W(O4e
zzf5rGUad-YbsLIW8#=y}V_~Piddb}^uV06rKl|r#DtMT!wIYYI)`zw`q~7-Fwa=Y3
zd4KDaug=hu2&5)^e~69!+O;E1?)5wByP}PqN5lh~|B*1rWPIkX0FB~w?`IT;#6?1k
zXv{Fa6DxwOJ?!N&6jG$qQV=p`KVGqjxo8enfg>7+Jv`$XM>_pXz!am)@bCo*+_ode
zv3KX<W4Pnv;*KTUS}o|ISCH49DZH6L46xK+a9BIa!2#7*KSt;L7_o{oTw^A|GikKf
z^OnJ8DC{%|w@ziLm<{Z8xu3P=bl~g29#c~lo{2sSL%#=)6a|Cb=w3SsUhmDQ><r)<
zAQhloQa*F<)7rQo+piAc(B?3b-+|NY%YgVC9;e3Y+LdW+9*T6{EKIK5_w;z=5WPT4
zsgbP7h<k85I$N(}6mNTKXY*1o=<?fBvT}LbwtH9=#a!hGg!ampMcf{|C~|1|jLonv
zaFeNSz-lZT!-Ba+>go}w<8R(<gg=~g-*dV4C_a5^oA)qip`XJs0h^Zewsmlt-cWB`
zznUf76bYqba`Cg|QX3)KQzC112evPh-k~CqQ4V)s+T7fXQ@}>Pv6xfBFAgi%ZB|xR
z-4-^hnBZVqfgRURy$Y3A)vF<Q9=_1C?|5{2q0r>ja^4l4`}}eOy3($(+{~<{WNmM{
z;;v1JIWkntNxh7=eHcG@Bu1cM?S#aZdAnPrsQ0jQ%FI!b&81Ka8&-Ex9G~>%YvBy1
ze!J^v*;aZ?avWw5G|GNhf6uim-B}52SY>5pOUrAoO}?Y9CC+^jPj7dUI&p4Bg;rvS
zfJ!p0a`!^(tK;nV@82If+SGn*ac$h!SzKb_<CH?)YWvt@8N&O$4A~Ve_I};MAd~sg
zQ4nkA<eY9EM{7vaRFVa_xG=G*jPDad!-)+ZCns@`jgC%SjK@5TsdTio)!OMKWVB|a
z4|&=UOAKE<akLbwa<dY0245YNWKw+4xtfb-6gtYt)Id9NT=tDd>n6yq@ohC*qQUo4
z&@!?|ABP(<A?ncXUe?{@<Q&lz71B+w4#DI;P7|JWt`X%erNr5w8%S-Wgdum2`K9b1
z{HS7Ex4(jiUtmsB;6lzAuDo=C`=VD(VuxvQ_pt`+m?=+%*_Y~+Qnj`9EWx33b0@fK
zbplqN?xWcIGtFQwYD>shG`+z8iLFoT_X0Wor$)>Hwk)<8=jTa%%F7>#Zs=dffWAjb
z521{dJ;u9s!$@IB<2G2Og3ruMOt_Mk4*bYm`SHVrbIN|ankE2==EI@)G-%fj>Dp)&
z`P|<xUedJW!(ptRuyW`g?Nu!S8PWBMh%FUVkP9$1oA#Kjdmg2Nx7^n&PCmjwfb(R)
zRj6Z$eH>VJNRGD(yd<X}r-s^60^KC+iin0mNlHw)9zu?S_b_hNXh%-UgMNe^6QiJ0
zQ;B*G?8N~!0~8b#$iBD^zr2}Q>Wv8DKJhIq-HDcz9z^>g4s;DS(DL%QHFP3Fl3O8O
zC~wIvH$iXO4n^2tRL2%RfNGV47><8v8Uc1dv;6IPJSt6qCB(pz3H>DmSU3L~(+Luw
zw%XH(VK(dr7%TDVlYspw7~t^>+S>0EJxRJ{ZJwuC$KJkjKzMx2qtiZwf@-J7fWYM`
z4_}J@dot%z8;<gj_vab^k!>cgJ}AK<UsoR!9>HdF_rsaVy|%~97v`9=ERpf=BKIWb
zXprAE)~Jbotw6oubJDZF_vkO(Fez?94%k~ax1GU`e7FAj#|+H{`*pc2p|2KbwyC}U
zAQK1IZ<Bc%hmv23reQx62sYY4g*?ubK>Q1N7lzkS?ce_c?Zbx;A8>hKjl~s3H&;Ha
zhM*-#^#iZR;?fMGDZ>=ABkb(N)*amx9*RS!8|b<-puECw6ElDB-W7IQU&gvbS|@Tz
zAP2y>p9Ku+f&<jp*cg=r9H1`@Wuy?90G(hM&%^83(FZK-;3HMzcE*$~SS7h$U58vS
z;?0{Ashs97T%8YNhkEzViC5LQ^OA@V@K8Yi;_W5!Xw*&oPieV(w|LE*(FUKe-OcgJ
z=p~?%dDj=DL7m9XO~>^MCNY#MN}6_0FtIDYp9Eex)9Gk-iga=hk#f;l@odcCd>nP}
zkHZlK<t-Zhum#tEK$9aJt^tuea>pQ2g|1Cn=IPy)eAFuBOhP{z$&k{EnS*vf8lav*
zXB6y(P&@r?>XW+@uT;_V8{AS+QGpx;-}8E`W)W<h6b#y%^(jyr;F>@#4|&q-;9w#K
zgs=j&e5-^TD<Y~6lRYI{NPB=t#~G?SEJySsXqfS?>v$v-WMpWB{Obc@<wa7^91?PH
z)e<3CMg$Q#`8dEOh|968$DV&%kw!5N4=YjjhDO&3?}BlIe~x{`C_-YaOn{=`{0_RY
zPt>=Bdm?}4M2y%_vYCwK`roVzxF(`fMLjeAAc5COea{)c278Ai+_`oEC@>rD(0!Ta
ze`*21WbCJ+?EzWhj1m9ebQg=9rs_s&jmom`Vo=!$)nNnTyf34@;w3@HSy$JP=5uj5
z+ZmN>SL%bOr4_Y6CYHwA`llly4q47A+4wtUr#YDZ?~gQT9!0m@$pg=@YUCqMefaIq
zd)URf3KTW+i7ipK5@U`KX?;6#Yr32ga_j?p-5=OpGCM-|r8_yS?SpAy<GN8)xvrbF
z;ho~TMp+A`IKQLK6sBfO5{i80QqS8$?WC{SI<T8Hq#Wd#>9&e<Dc7=Xdhl5Ph0)M&
zRSu{|ff{lqxjJ7(YnYf)444X!Mgz{slG$ob06iG=2<aUJkT*EFuaNE=nx1#q;LGb%
zMk!w1Ev^{$r(Wl4$2W`ldmM!{k!s>gw-!@xmEWG!2@A<i;}erf_l&g|*g;-mH2OtJ
zN9$3f$m4y2ZE9zU>yVJVhiAIN0}5<<`V}Bo>X25#x*#O99HJYE#9pZtk+=6-UZ@T{
z3L3g=W@s30R6Q<WA?@n8nEG>u#5*o$*K<EJ)oS`(b7hLd9({a1(duXIy2qb6#@EHN
zT5f)LaC_yOmUHFBrC+aI>1<@S3lbTWx34Y`Or_y`hK>Hu<PE}|FJGe{DMXq5Jf#QH
zpjoewTPv%ND$;j=LdzlYi-e(0zMo?u&x{wlXGG2D;==s2y#uY}acf=^tvjoJ<lQR3
z${W6pe*HRqrI9J*gDD_@gzRY+;#HM>uvgsWsh!1Y*LW)zMeF!8t0PJ>o!*JAS4!mH
zqg>K;Gt$)6C$Qws6r4}yPd84UBExT$9;+(dVM`w)l&$j*cacC@orGM|)Cy_#lI?dj
z#USHRgN{lI|L^ke1RpO#9$o0rMRkLo{&igqOK^1;S+AszkhCBJND#$pVbaBVK*s&q
zmiOFL55M49@t<TNzJZGauvIe--S{5g=p~kH&&hnP9gibR^p;O=sO;?C?4zd&a2mR&
z#~0AeSNf^u&i7zSv#F{RyEfM=^=a(8qxRIteX(45++;jD_~yB5@@YXeZHdA48|J2-
z4;07bc06*3wkao>Hg-+6v*jKnQXP8C`%8BS1wJq``iO7jIFX)qNBclIugAH^SSWKN
zHrsONbBBk!h|A{p#P@mTkYD*j2~Lv74O2%xhr8#{^ibMpxYY*F6r^*D@7F|DK0!|%
zqK(qa2D=6pZH=Y6HVF>)hof0ie0z(>nF50b$%HtphLp-wN6&Itnty+*HhKDuoTlpD
zb_#!R1mAfm28o=_rUlFI=+*3CCpwC;A>6IE&F2Y}rSSzHJ=W6WSyjnW)4q342p^H`
zO4}CKAj-M#%zNvI+xz58$b@_z95y}_l~Jj4#4a*iEGT1IpgyCM9<Q0LGVgbrKGiu!
zVi1gB-eLPIzZr-(v`GW&z{c#ez+mmh!y(dfxv38S?-e=rXWoJ**|;LfziDq2^x&zF
zBtNw=!`mob+ZUIovIpx+9vg(mzM3}b7m2TXaiyBbw!HPdgfBia?q8J0@<lEz#hA6G
zI4S#2+q<sQOmDu?Rr2krkJgK+it=r`IdAgDHs_^V4#P@;?TlC>5o#f@K+cePg9!Q6
zbnTcC!r?s0vi<KlGVmc|ccJQolOBQ(7v+8Rzi_jA*vQOJhR9S(wr5p#T_XOr8RO1r
zLft^=e1V~m!*Man2lZ+@G7S5TL%B5cdvZY_j@OLma92G89n<%%0XfNp^NgU*dL0W-
z7*GCg?V!$1VXQRxV7DxL;{$JH|04_9?!oK?Llcv@AcZhv+Q7VAo&9NDBlI%g7VDkE
zrTauLzwcZch%~#P*Hs;D!$n+5E=oH<C|<E#K1~=(J{2XzUcoOj%z7)C#)okz*<p*i
zu~??yU8h!p`>?v3Tpt6KWq(8{TjeLD_7ez^<oMO^SThVdckM#koVojHCT_Jgg((`A
zF-s`^DJ2<YahEAkRll$C#%-vFZ*q<`UT!!~QH@-oPWG#V#j5(3f{KmZcp*JGtmjq_
z_krzNw$tai-yAzU-SYJ7bRCN<=Ul@lam&EC-TEWJKZ-P?ZeGm*C#>sFoUW>J6jx8a
zk1er>qV1&<UHVYCUR;F3<<WZ@c9PkS;?ApGFNQgYj0GW+|HDN}jUDBwov+yJZEjPn
zQ7_E`8_JGb+5Tv4NA4Nb`(x?8lNp||d-WGr{F}nX1C`3-o{Q+zp>;Z+=teH)@=w_j
z>ou)4jsC1jfh!-SZb`~*ntA@p=o~*<*L|(-Y>$cV$EdH<Y|cjMHnP83t>o@dciTPH
z?@wQxPzYJSV&hMwu1hKKExmO06Ea3VuhD#@d~Wvn!??NRH`dozq#oLtn=t$Id&`&j
z<i=11<_S5pj?$B;CTFi>kC;1g<;w@PjM#9`e;Gm-yw2{<+udw5gPsc42TjeS0<;1h
z=*rJ7akqb=I;Z2$dPB@hz*pIxHFYbqPP6`xUAYXKnTeRt3;pwT8LwHQiBcK8uaIxt
z*siQdMsCu<!@Z|IFtgK1%fqdOmoY__qkXcpudUkbwq0>v0D06)v3nu5QUR8dCym*v
zOp}d#yK$`s*Tt$wFWOjNyZqeq_?|QN1-Aaz$LFr}cV@H}6K6@a@5b%<H51>{l^z=&
zd%LHucqq_WLzIf7DTQ;CGFNjWZ$FD@pCn+q`iQoY2m1}JzI5zyK9W3mnn=Y?Um{TU
z5;__5v0LD<?HjSV;`?Qsi(qQreE-bg!z&x64JFV09_b7I+_uC1&{n8*#$7Ad5<+y)
zG!wTMe>l0Oq6qVYvv?sFPrQ-_iSugFR?8(XuM<<B*<uFv1j=d4Xo|gIO5N4%Gw)S1
z*ZL<fd7QE=;`1n<ga22LiN2@A6=p_UVUL-z+6vmDcgTlMPO4v9&fnPfZu?@6<>B&Y
zR$;|vlX*s=&V4VId&af*H!VynwFHxW>u~sKfZzavOEzJf*!e`wyl0W3hW&Og%XOdK
zA&+v_aJav10yj?Jc_OTyXqFWZq#Vjl)157BkO_ZXZew(+<Ds|tfxlxAdU3F%R^1q}
zS+ZDUf2@?dx!L~6kh68|<579$=WH?^y~0nYOT!8rOZ)EWInSG9-Y*ijJhz-NrY7Y}
zT>6=JDOM}U@?{R@tEx0wzqGP#T=F)%rmMV919dwwf+$*Yy^oS~-<!4?W%hvm#1f_d
z_wU-pROCQGKTh3%@E0^%53}WfF=A|v9gu4DEfJ8Y0^Eas6V-RHG=>oorzeMphXYj>
z5EKN@Aou1ho49xppaknhSt;U#8#Dm0df@i~vkbu|c;;^Udn6AnE*a72F4a?FC$R-n
z&Z@Gpue*ObB>JBRr_Wp$pignp8<NS?cX48=Pps`0JXb(h6q7zF-5_f7qwied4GE@m
zh3~K-*ihoU3IBAV2Z<Vv(F59K`V{_@vyK+oTzLfw?|mvQ0r&tdLpV?SYFSbe*P;e`
z22Q1<>4gP;V*u^E$X#(|24?S1&pU|kEOmf^fq{kPo|;-ANS5*OaS*giV=W3+^-08m
z(wO0+p`igF7t&gwj6i@a5lsatZ);OVa(I`dB$f^B-7Y418>2KsY4%Vb!(Ion4A;zv
z@oQyGDUv5Y(Uf1GHQ_Lu%%A3;<1jF^uZ_lDTyL)EJoY{ARnB~lT-53Xhraa15}%Fx
zj_o#YYbyH3#uA$iFu{IqcGk!qaWqZ{>qf5(zaqMa;^p5y2tj-!0A3gxQ`ktRk#vbh
zZFxrvU<5VLAMEU!_|9A(J|!iEW0p5k)=~VQxnB%^_ROatFnPE;27IBJnVA?8apJ%;
zWOU=-6(m+T*x26X=H{Z5{%ueDxou+(&(q<+Hn(`W=d<|&&6!#>Efi@Rt-h9D1LfFB
zhc;S+7j*X27Wo_#+c0Urr*<)ND5rt{GKD+okjFcrn@dnasZWkf6*Xs88_n18-Do<s
zkk7x(d1|1kiT@Ht2oZ<o;-jD+T0~+mnR8$8X;m*h@Wz0Sz=Oj~nb<~<5GMY-Xp1=T
z-&%kWaS7Y$!wQ~Yk;R<Wg{X{?_$1?v%**kv0zu5X_&2u`t^C_(FQy~CPw?_$Di0;#
zd3aup^v|1_P2+uv!PsD~6j(k6?ro_Fx>Uq_$x0VR`Sww&q<zl&Y{#UA*Fo|-_f>xF
zL;V=$L_Fyo%}Kv6YTdckefg5j{z$RBws^OpW~xyb-;cL;rEkS;(mFHpCrIjT-ceB6
zyF>Uo#&y;ZN-!<QzUW5~=D3ezD32Eq3nT-14G%ZOz$Ci({QZAZoF+SwV<{gl6yPPX
zF|TMYZpar3XB|xgLbqz8Z7MMT9FLS#ro)m+L%9H_h=>Y%0O%$-NihT%poIFdAh{@s
zt~6aLQfx(GrL%LrMvEzT_n#~3F$kZkX51EcZl$=B<_&RZU-Efge%7YltCA`KpO!z?
z&5SK@T~kn?q@XAQ;fJ<-XR$Vj)a$W4Vq%X0YodP!Dgyn!sAxyz1MCZ)UXX0)tb%+z
zK;?+R8w|eEQuWH8)DjXCk3<vaA&K)_{JF}0ijxy_lH<H0SJZRO9w6x#jUIybK);Jb
z)b+*h-$pDd!s+(esaG5f|IX-q^v;($$2<oiY^Z)S&h4CX?`d0?9VYDJ_f`CZaW{Bc
zy@^wYw;$0KaCZ93?EOUkAOr<cnHbpa;6cT}a9s-ATbx2yuK80hK8EiIcDp>UcI%du
z6dt2-X_t4{%NVoGll~9<-9AZoMAvnEV4OY6c7KvZr{lNpJBByu$M;M<hwSsanu2YF
z*xzcz<^HSUc8>~?g1DFt1JG??hfe>c+cKIffI*z*;^JTzu#0ps8>l{Lt;VFZs{|8R
z1ee}Lyg_&|kp9+wMAq}BWDWvpCgRV7{aQ>#5O#oIYY?CFdHx)^fj^G;i<K4gCj|{j
z@9y1Z)L(eMYG}nrrzG4;gl#nbTN*>p#4_1W;rGPM^3>|MhZ7>o$*#J8ELPxPx+VpN
z0k^N;w6<|dL44sS2EKguo1g4jLzj4TE%3j{s@+uIG07J0#&Hc`yEkuA*Obx(+)Oyo
zkbyzk?3kyTQNL^FPOr(39@ud146%^h9^Pi8#dIT)$vLM!W?9U6=EC(AmnMZ4<<n{1
z9}b@Dyy<s*V>0ym?4;%+I+6E1+X$sJR)JOrx^px96Em_f3j%_KBJ8oCk#aC8M&^5N
z)}-2M1ndJVVB4^Qi!gcB{UVzQ`Tq@v#Ge1EW<cs^XQ$C35tL`A7T00fvCCF-b_b@*
z7YI3wxbDb^LzVWscxN$(ZTu<Q_-7^B_KCXrT2Y?+XA1h#uGy;Aw4naT?WQT-SigEK
zb>=*)@|L9XsaIfqsT(k;>yEf^24V+p-oAY_=o_#Va{uGUj-`KZzWd1D9HZOqp!osl
zRmtjH2(lLxI1UB`g+0vr?fn6<2<-V3WMoI8aj%<r)*u`*YLhhVzXOzK-&B)RRq3UU
zhlLOGA7)qlk)Cjms`9GzP(3f@FyDckOx?u<jhlO>Jda|;i<6*SSx$O*VVjs3v6h==
z+IHZqG=p>IKyGuexTF32(uOaYhqgADFU-1^z@|y$@G%_ZjdA(0Z`eWL?@~25iv+(0
zt=%BUi($hYsG*>Qxjn$Eth}74gNUxLWN~=z1*#q~J($}=5p{~2TZd9pQ}YW&>lmsM
zf*A)&GbvqTdvCAyN6FM>kMKdv6d&&C(RcpvYpbkD`g)`Cx{gd0MdJ3O)ZdU@1~RS)
zDP~}?LIrXWa0siA*9Q<*HxtY`J~WMBJPJS&OooQPXQ0$I?b;f=!zk2&ExNlA)BOjA
zh8Rhvp_w`s4SbO(QV^G&g5Hu48C~$PVmR@N+CBeVF&lrG7sUp9mJW)_e=jDdOh02o
z*;MdA8beZD9Ne!y>6yRZc~8^aB<{Jk^P<AoSbw(BH0&k#Y+XNp&i_(14Us5tT(kb`
zms7(2rvDq(6(sK?BLw@DW$z1#&E<Yf^$wBEhWpoCyh@vgb{)DjQjd&b4BAM{mjqDn
zN#4wfOQh#R-cru!*w$l*hI;X#voeb&3Yn$bzdI(^#V1xAR5DISFl!wlLSSYodQmJ>
zBuNaDYf1Wk8|R{~wCr4WbeqaBp+BUHd}eBI?KNxOW}iFS5>R|NJ3BY&9;Lo!VZlRX
z+*7O`-{dXy2q!uMkucb!t;V!7Hw|VP;*1loZhMe1j%&|`gD?hidTtK$)znfowsBtX
z`SIgLXs8NyYbK_3=zV-9?I7F(y9KKGK-W_rKrIB@#P-EBnk!%au(moi-yfDgy;!?l
z<KenUV6d0!s!9H@4X#Dv7+1Znc9}BTl{2!x6gDn6Y{pFn2U{^8ors#B=&6a1FYuI>
zf};k|vKxXIWBNh=fT2AS4bEC7B?8q37N7Ix$`FJ+&xt4~$`-hpDkC30>P5U~rQZ_S
zEQ~`I4uv!g*trqafa>#ci0rYTZ>_&fkZA$T&$MvHqan{|G!I)XpkY94otUnSB)uGy
zE?kjU*B_ogUy5|b=fCDUep>#EA8TpF#2RW=$89q2!-><B7HYj+rfrX`nkdKZ?!7?z
z4vbEo%e^z!eG|IgQdKt@k)p!`9lM%+A+K7R>VYL%)Aq%y6vnd}1chv25fOU`Xn;1h
zBkX~!_Yr_xIfu!s#u)QBgVhD__TYg75IiK_I`vCcMWr3pnQZ+-#d@iiFJB&@p~=9S
z$Jh*1VW@kE#T>Q@{?my5tIxKu-dg8~%Ub??1DZK7>!5!7CtZbP)YX|gvflv_m5}Jp
zVJf$~Jv<>C(XqqUKVsEnKDcJ~_r<C1l!HU#<c|SpQ;|#^xTRX0?Z_o~Hqk@jx<vHZ
z;tTu4ka`MwSwrJ(0cqnP<}0R4?gZL<IN)uhyG%m!sE5ZcHM<rq<w!38q`cX0OlqK$
zijxgV*KazOVa`mLKEI2FQ0T&`%k-vu--p(Cj_5?nGqnAAbQ(fFPQSgf(-RQ7^jBbQ
zOPKCVa!@^cFU0HLj(oQ(fu%H$d{A9=PheV7L{ljD*FN6MN<q_Jf6>$P#NM&@t6Peb
z4LvVeFXbD3B}utDok8A%@A;ZwMP@(Vkv-j*s_K-zNSr54n1thjAm-Qba`V^A7erWt
zu%BXEA<f8weeBH@luEe{hvjV`U9q9O@Y1??J7fFOB_rLUJ+>~5Lz8KwqhiW`VqvSK
zW4~}beWOKTc-hxtVblDg;?iVnvq4y>nL?$ptYF=?meN-?M`CY&%g)$!1t%99dyHHi
zf%sA7IRdWY_NmNRU%}Xd#AfOnIIIfIO~W+%<R(_>?K_!FDcK$`Iwa*i#l!R_B9xn9
zN#VAf2;0PI-}}AtkHC>{SI{2Q^(r-)kPJ|TY6fH@9`Z4{&+lGdkCl%<lCn{{WPoN1
zWM1y<r^-)aRN!6lgSserZ%1%FqafQZGtr&Xbw^)a-?3fA*wHjg<@<J9yvF05s>k%^
z%u<^#e>>KY!q4c?BmBEj^)v)0+IC$9*JQ%HWNGZadScqbEc9H@-evRPJ-A%J5S~9Y
zqG^zopOCQUF9RC?YjY@EHFYg@d5r4(&h?CKgm)J=TiphRmFzUs#fjJaFD!{Csp`Jf
z^!;GEp&xz3|4XnvD*KL9Z{zv1{HGc8$NEUPy_a^X$%z`BA>OFo5P%uB&(`b)7j+^>
zsa_8?zRMIbc^-ZG`v<yWRU+g?AUws*HPRBI=`PCKcp)j!aO2hy;;*`76SeTlWl6Sl
zUg1gSBcatL5X49!;a2FITfZE0r0X{SC#Lh9pU&Rz*nC&?$Fythb%8Vyi6I<jz@HlW
z7<J5MX@BXT!QHc?#Q)ptj?dyUCie1=&6nAQR&#@LQ`4&Qq~iC@_0I&8*m~4&Thc!K
z`}-<n#PvA>jQ8p%b-CU>sjnG{FL3Ar>geBjI&F`q<qtMoy1XV8p3{81`*h#2lZOuy
z;rZSP;yXATs&mp+?0IVQ(Y9SO^Ig9Coy;dMuc{GYkMoAal|0UVHl-uB>j#7<xu*Un
zEW-IB1;X_IerF|g%7omW6vn{^mTRQ7-QK0^#82ds4J?k3TZM;6joPV@r@`);Eh!Jh
zn}EK*PlF9Un8wq|GJ|(yZMC&KnkNLK2sT$^^I6R8q_6C}Cp*1!yQ!+i6TA??MUf3B
z7pH8$nGDsxm){oNCjw#cLH1uP&GrEPD>+1QNne+f<kapPpAsKj{EJL>xZ#nuq)(0&
zRO6fcS;Ztqdkh*XU=R;cthPTx1?@0e5i+^t*ID41*cvY;vq?ES9n>WPK-Wbn?ryyB
z{g}18*BBxcY+bDWak!RR`)UYbvFm^eyoV{F<Hc+hS;ngz)a)>_TB)gpw-LqX@PyuE
zSAiTB^+j!V0!|JjKO;;WHBTP2F&H{l-_nu;El49|Y|Rj2ya@`jL|Dn-;2>%Uw9L@1
z+l;q1)J1v^Bl7|Hg#?5}_<eAYVqo&2c0s>ixfyAEQ%NZs`YIx|4|Q?L`mB!{H!;%{
zfiHvgQLMCs^EZFtixR&v!L2bdQ|@l;sQSZIhh691rF@yn<DT70@mI)A^w~*l&Y=fG
zb(mdzmXp&*9Fk|^a72u?kn4cfw>C=hzJ@34;cy1$+0L+2xkCr*>51XSDe46RqM}ga
zG@)sw>Ebn%#FfCj(?f?^0d64K9y}hXR3;HCJp}PC&Km`xnZ?;Zx?sO(j4&f4juqUU
zu6N$##gqV;v*ktj`}==(|NEI$DAaE&mPhRkli;>H0a<Wz@rqB_f?|oW@KmF(#oeC~
zk&z~2WT?;}eSup4;NGwQ;tpgP|E1@q!{|7u;c-OIEeYeZLmesoZ%$HN+#n|3<|ED)
zUll=M7}kIQhRaK8Dk>r<LVcx!Kx0BFLFDX_F957XIpG!(eQ*t;9kO3Z#{^uD1^giX
zczGI$GPh6NR#)#rRrc2x{wo=NYx*KNPr&#DG51&Q8^<h{iQh==T1ulp@v5oujiRr+
zvcCH|Z`%A=ywk%np~m|jl?dui#99$Q5OOIBr~jwwx_4>{Nl<n8Zt`!=e$KoL?J=q>
z2Lupbh}?Gu!fRw&v$q%8@xG?^hgu!ev}9#v;eQ2sa1SX(RN^!@AnZWCI*)c0s+hJ$
z7jW26o<2qjGGwLbcKFq{Ybe%dk3u7eE(a}H-VvzZP_m$HU=p{tLi!OhM{4g~BRVw*
zg_p*K9^tP)+9b~su|v41@)>Uh9Jkk<r(hVUuK7eyNp)FTI(_6fN}yeWDIFjGPon9M
z)sX=Q4jkD3SHrN(aOjW_##pkiLO$_zA?bgKrg?n2=_MsgfX`7kpbfoD*^x9ntmiEi
z`1-XnG-#or?L`hYA+qpgTe0t@px}SrEsPW@@Ygg{=&yyX&w?=~Zej$&ou(wksnu&&
z%Y!X#RJmJ(ZO-m$Y-)m*{ES*|s$mPa>;EQMHbPR`ty?eu>IbuR58>Hmi-t@iL;|mR
zS*pizDMC7is$q_(C>R~}(nIEfw1O{_aG)0y1;`IN8LjICgz=D&SuavkFaSbN?}L1N
zziGV*_f8TL;l~^vXWdy!4G&G8YWa7*6^0r^b>v`BBdT^k>&vvNYe!c|aIPR(9uXHe
zdmT*1zbgIiRV_bBb7PO2&?B+%)YMeiH-K1b18Bg)<Ox~OTsGQV&(v>vfAb{Occflp
zP9miF8<?)nZhr_^hSaSaHy*71gk0F`YD|M#iBl0V)Mc^OqWyni4wlCG))NMX_3OAc
zSDqi5!L(=z7!jnjGaI|BFnR}%3J3L`g7{uBY%Ha*J1a(ePsFKKicU%Fw&CtHz%<BT
zS5%QSou412p5HNv{R^x=q+02C(h$<V`JcdpIB~={t{}9#p5*lGCge%vPRL(F(||`H
zuOFvB<o)C3a=vdeoA8i%pWx!Et*o@&wEgFw7qZ8i^!R?;57N=o+o7Fxaarrwn@T^c
z!_UW;S`+#5rFMRDgcjO`^Bo6gD~}Ozl4H57oZ>F2IFZ}=e19Aql#*iLY)WR9;eK6$
zwqELGNQfPx<Tfj~Ha34MDu_eaI(`+cew5?lU3OH^iNoihoOL7F!nTI}m|XM@RA?_>
ze&LyxdVlL#Udp@w(#?)%aFx=w@RlGv$h<++KR7rTHvR)xG*_;ewx)jWD?j@L+zkc!
z@id1cChIKxWA}EJUv1<oCpQ_Y&XmN%WZ0Vdxj?}!(dMawoE$O02hd+Ppa@{!Dh3tF
zkA@njWD$r?oWP4F9zE;H1MFKV#5g!WHV}a$NgSDHCpkFYXJ+1tZ-TDC6zLsO=%~1&
zRrA#3rQj&hi83}YU}ta88a$^_N=P(D92W2u3}vE4KwelFBTf#DZGb1tqH#pVoU!pI
zGGgb+N8T=S&@hN!^R%)W)u;`>aq4?*Ek`uErBr(h9cE#R_a8rAKNf_v1bP+)S=n1B
z4xoBV5-AeG0U(C{NLsq0-(Rx3wG~=oVL(UFv8SudNd1hJp`+?b|BxFOSCLukq@{I)
z^ZC&8sx|{*5!#}u_N+wgeduDId3&2LACg5SKzy1BsTZkFEHHAO*qonekYDWBSI6R?
zfb|IjPi}EBF&`@Xr-xi1985SkgAeWAv*$s^kBN}W3Q`zI4EN3!aqMR7&9)yureXbp
z{&MC1)+!y9yQgPZm&^B${{b{SkNk@=sL_ZqLIV|oNC+Gp)zM490P+S4iN~uL^B~cx
zXS;oc)Bk!|ZORv?(ktxuJN@5NbAAs$&mMpbh-Y4yQdD(XR1h&6|5MCZCYQ=?jDi^#
z%#Zm{Sf-?YBZv8!DLgP&ukNNILJQ)LR_FEEF=EKVc8|RiYHjS!KtgmH)=Zt|7+*&)
z81`-}j5HjKt@KkQ6V@ss^B@*pz5660c5H9iXY_c1)Un8Yqt=n**;mJhmpWfK>Hhz!
z0egCEwGJ2E>%kI--Vge<w6^7aGyf?E^cuSW^fr|5Bq!(CQ%VVJGP^oVB8UJcWMSTV
z)h|!_F(mJYJ`n$gAq!@X^YYL+{JmkjIhgk|6gqxr+uxOQrJ$7J>Be!!soRs9NM3}}
z7Xo5IM+3kaQhWdtnua61IQ|1mpi#UmDJW<|jHHBmd;oJF?m&hvbEZg2%Cu-9*o(PW
z7#%luG57^Alt<(82qOan+%rDUp23rY)T~Dh;&}Sl&=LdO-QH0kXn$NA`&Y+1c4C*1
z8>sM-efnv9)>d-MA7y=Kr9h>rriS|>nK9!d`~Hl1gv?1JtNtZI#DapftO{X30r(~L
zGBng+Bn#dN6@XPZu^<2bvM2ks!|mG#bMnKQUE#`M7VSRMK*z{fGchACh1*I*37|=P
z$OEK6%V*T_@nZ}qAZF3TShoGNgjfYvU8gQQ587~)O*n2aG!i=df7NJK7^!4cpOuvb
zy)RI@;7{HGC_tEn%v`)c3=s`8?HXWxjM$zA5uq^RPpa>f*5_h>@3sTqN&XWexE=rh
z8X^$rJJknVL4dB*YuaJk@2j$gGf!jS7d(FS==Tub%B~&e!TI?j*~XVpVmUreWh##a
zst4Nf@_jqeCD$C?<|6TH7KvG%Du%o6U8NH3o9c=Tw2e+ljTxPWbi7JCy|nba=lrg+
z=Klr=N>5AdZ22d#8QRGIYDP~U*sE)Ft}7V4gKP-TL+pV%{UU^3*SAD<41P+<AlM+-
zvKxg1heLYIPGYn2Qt^moeTbH+NZ>D#A|hr@P}>EPLRDLzsvyF!-_`TR)v0OQZhlKz
zGcDqyR_aSEFI;Tzj1&KCFAuhZ-fa%mHGh}<-?qg?;0uY*ALg(CX{W#am=JNtU`ai2
zR`k&~5rrWS1-3WDo2A!Je4#s)B=y*yv299mysm+he(2W)V&Qnc<9Gk$zcn#Vh)4HA
zTvHMgMX{Jr*+N5l59kdnJ^lUQ6fZ=+Ml`Y0Vw)~pug+K*7cX5RB|mf)5pY#iSJxQ-
zeHaP3F3P*6iE(mqa$!aWCDxDxD>3fhzaIpnx;oLH07E2-Kcad!vV!>C@bjtf)wV)(
z7(FG#%v>Bk>dMNMthLHYN*MnopV;ijD9C;E=vNH5O}MoQ6)q%Ys#yljcn5eZzF_k4
z-ybvj6tx|wb)o?N!;~SpH7Cg|V%2LJ9uySQpohT`ypUP~Bw)XJ;sBmyOxi#`u{6z;
zvB6(hg?N?k(U+3N|A!?96^V`7saFz+myv=@^zf&1|Gt$AXVxsCxUf(y;TClRjvkZw
zTaY|@fB5)u6tyHf!+&3kK;=)abf2Q5pLo5$sgI-Pc_jKNvX(d?S=j;tw^X5E>_o!w
z*up9l;lTf<I;L-lMEHs8nV1NKXAro5G&Ww$ot-QN1Og8L-PV}NSJq=?Kzds4+Z|@d
zTsRhFDLo#~eS={WYIZgn%8{Kju05mtf`UPx?*|eNt8r5HV#D$}arW$w`7Jw(yv~*u
z<-}$I0fA?FM#I4EWfc?z#aYl(b#~U~8+X;-qcz*6W+!N1Vxr^hEcE2!)tKz*2kdUB
zFgHK$YALVuE9k8*2vA9uCQRKyHGc%{adhS^A#%g+^s7+kFl?0YKdeb*C*VTaiav^b
zt9pFX{QAEVmh)apETwBJD*>Nh{tw#TJD$t_?;l1(MG1uxic;CB?9ouEj5JVY6q3C@
zHk}f(k`vjbwCs^R6Ozo5y^@hl_Pn2mI={d3y6*eFe)r?|c-;QDuJhY@_VGE6<9)o}
zuh(<ER5*Ba^c(t&jg1aTNJxl^Hc!pzM>}zX9kR%N^2}i!@Ens!a4*`L(cVyC_Vwxg
z!RBBhlH;_Ljiwl*%J@!0-wpo^>glHPcgtqI?j@83%qjjXORPDpv-kJ|D|imro``UD
zC1anQxYOH^MHW$PDeZ%e5tu8rKVho@_?!MF5N|xYp^*{7x6Znl9Xoy;cRJBG!FMY>
zKi1e)UzXGC5$Wph2aGEoUN(FNLe-{D%PsB{Y{h(KeWpF1a#@8fH8}%C2enAK72AHk
zl*iMv=?Y3ZaPrNx^3oB$h_lacvduw>d75kt7*m*27yb@Y?xf8Az=|DPPSV?)*lTlo
zi%SWaXID14BN$O+UUky~#=UzGjv|g2RC;IyKw~gVS^w&jpV=!Ycv(jG_d+C7nQS9-
zhGu?-M7MKi?4?70U+8tgD>64{Tk;CI)G{*2?)v`rQ|nhEeFZ;7K{w_<?8KBuxMJz*
z7_}UWjqjb7xsfnKSZs+AP3FFTwgdGyL2!o<Qv5ep?SJb?)7<5_f(DTSi(zq>4(%W)
zi}rs$_qGISi=;nt8&x#z+$HtS^uX|hmZ1q##-6}@W9|zDv?lC2s4L-ZokB)3;nq$}
z#I#PV8W^9pY~FkX?vj7@1il{Z2@0?78W;$OePqdoHMQ;vk%H&rvxJdqd|CxiP45Dj
z|M_UmeooG?1X=wn|J;+t@lRw@JUqj23<%}F07{New>bOHzhyL7Msc%tGxo?UPOmm}
zO2rn=Z)k`(7+F^O3Mfn-eE+ihgSS|x=tF<NGYx&ng>RgalI@qnv2sxLtziFSg#i#)
zGXB#G^A<(8E68)h;kkA5X6WeQyG_FMWLR@`Txw*jz>q@63=U^uaS^DB6C~zXOqQ}W
zLWd6>Qcb;8fo=r)=$%{Ku?M0bK@pC)&9S01)$c*5mDhe|YcmHbX9q8)y?!&f@)w!4
zDH+-CTmW+R#~FcEi_c%o?s=S@WAqJXN@z7;54$@=1-V9(8*!UeQ{E%7E?r(hp&Dhv
z1{<^(l9*qFHjhrpz`(%P*4Es70;NY<S{h_3?MYhFb&_c_|C3Q)SFtAJ24pTkteSi9
zj=j5~0lh!kF{ohBc}=!$HQ$6nXzjb-ulqV!5dNw#^`Upi*xl?`tB2KQt9BS3vgkEa
z{mRR3@EMkCKE9dRS(QUOz+o(W_vZinN8F*6Zcqm*1Lp3U&VFRa@oDBU(bB@%;Dt9o
z+Iit8szdxn3^ENvMm78^?UsNP&~iYvg0l<Rq)1X<1vi2@MH;b};ZeG(qT)Sz{XRq<
zSc%J!L}U6kR}jW9|3sax;^>&CnWTkBf-b0M{OImeKqbgpUjL)I$$O~qe6jo5TT#=L
zdxOEFiy=;M*w`^P`W)J~uN!txSoTGsQHP6>f5}}f!)RX&P`9~7LVj+E`W&&*0>;6R
z4n;(KW(73%=v4_G0jsoggr|^c$LH7&ct>VN+nMR<p^t!rg29CQNVq*`%;(Q?7(#aI
z<0G8P7Xb=x*|x0%{~C)#>+02X5Xvw%c@15^j{wE?aW$YCaOOh3F0nB19H;`$Q$$PX
zvp8SgCP<`G;pf{=mxcTM_WEB*Q!2_iw?t%QV0JgknPWE1d)7F#q2TSaXE$M5kog<m
z^zq|UGEh(97N_d(2c1PUd`4Crdj$lDF<CNGFhM^Yy8gUwxU(?YQ`33=HbeeVywT{b
z4#Z$Fd$VR-2hSGocmgd3I2fE7F#Z76v(sb`sYGtFV&9C6B@cnRu6?tCcMEK3>yO8O
zdbROrX+y+*q$M6ZHidQ{4J+N;V|*eCSD4g*Bf`rB^%dMD!^1`n56m$wmK{J-_|Ge#
zGG(UlLf$#1b7A@4&hM$Oc-6dK$Hxz2-LTvDk??8)YBg!ikdJEsm^5f57FC9q8K9@k
z6c8hE;3@xsd9GMSh27nd(a>3K*>{PR4z@Yl2_1H1^@SE~3ayHcMzZx)uIY)1Q1mXe
z#z-@Wx{0~zbV?Wu@bd~fi@of=XDu;emsXN-=T6!HMC0YsYQM&Y@W6NvH!f31DC5P8
zANXQ`0ucdS(5#2032Qrl-uNk?X+}oFkRj}mqB~6#dc;qBEw^b??Tzbw>Gz(b{FbdC
z6anMknhpPLd6vww=-ndDw~gBkW9mY}!|&RnY+)6(xG$Ob<_(}G+|oY?h=~2xEn6N}
z+=_Ad2mUz6YIonM_05%oCB$CX#Oa7PiVeZHFkN7R=LmL)v<VR!@C$1{chluFjw!2|
z_J~+yFToVMpIEtZca#5{aX2mK?#%vfATxjsx3h<#iH8QNsThacix>NY?;S*T0bs76
z3ug$)ieB{AO`Ep2ui+jk)x43JSc`bR@$#5tjam_gP;n2Ml1=~l3KU}EaVZ=S1kFI-
zmzp|>u?jtRexn=Ii@^!LjFJz4eN01p6cfYF$Crq83KNC_%nOLdz>K`|-RmhSy$6)}
zLg<w&Ez_Fy!(q{teP*^)EeJ15mmO-S8T9E8_F&!~9?RjwhY2Vb->T~2yy$;!1^51&
zZnEqm_J(6^7xZ4D`qR_nq$Lt)8v>6GVG-h(7Yv1swPM^>M<?dgv)4&U`VBuze>SJ}
z6Va}Mf~+n}6Oix$^}|VxqB5l6;lUU_jSs_#u+W{A!P0nndj{KlbE?a?vJ@26>oXwS
zs{tt3q%e)_So1kq>YHq~{aidew`T9(IDnGs;SrQnOrry2e6XEEjcMMi;jdxG4xduB
zX3zSUziTNT`IvS6-BRP%cdu9XavDat$0{`*`6@%%;IK%|cSf$wYzavcH}hljyk7*;
zlPEI(C*eg^4Q&%-QrM2q`0wN4F(Q-~A^gG;@S~k&-$Fx!Vn5eYip^p82s<iHjJovp
z^AmD>o0auM($mX}R#=-78aaY7ppjmB`sJrw$dEWfiw+Lrq{7oz(Q@hqIZUO}OSh_G
zDVeW{Wa-G+I<nvaD?|WalmS}~(dH<tLiqD9KUIsFNHj01icunVuj|wpzc+RjTOMR~
zqpa>#`;Smf6*`{gUGn~X;BkS=0XE^byTP*i0U+!~se*7?Ag%^2#N2GC3OQmBt1KH^
z7VuQzRa|0XH4d-ChkrK2g{-42;~Y^8J9fUUa&dZyk&f;%UbpCI(;Y?8Qchu>peG0f
zbXH&_Ryl6XvinB=B-xk@67RioJ-XC^jTD%5Q_vEYW~0tcuF7K&vS>iPKr0_9HjM;O
z%ULtB6_=S&3BI=$tLx@S+8g!AHtZljLmOhoecb$H<&IkR%sAnqk6ZI!wmXJex3)R=
z%F7w2nJDx1J{~%A<=0<(HBOeEs+6pfO+KNtK1g2Awb|K4BJ)nzbi`5aal67LU6EfA
z{SvkJovUX>YkCNe^iA<8NBD;2Cpz26D3)dmSD|9tx2BrP?vJvZHY<{xv!a`JQE?cJ
z?QDGgg>F~J6$Z)iyhHn|=TGaxjs;L?x^s1f1SGj^46wts1Z89bqM+TqDhL<@hP1<c
zd>tSd!hKB{qoIp{i3vT|BIDm=5P@K53eHesn(Hh1@Rzy%Nmsd=-!8(QmC<Ohff!dy
z9I!BViBAP{kM<E=GZ1Zd!&%SrN4#Hi4lWKVj@eOqEfjJLN|o>ISttQ*Cc|Ebr|8>B
zkQ%g-zdj%3G%bB769d`kcH&<&>t4Yy)Y}Ofx!8*DM*@kP1}T=jsD((GAv|JNsZgM$
z7-oyAdJvPOwY}>bzkRC?J01tu8R`j0E+2M9p}1qFr6mARzY&yEM5P6FDWYO*WZqou
z>+e^D!f_;cb}%k!3oA9_>pw7-Szl+XZWG@~d*D@PpC7R=?(Dteuw^&<7Ow+}jr=Mg
z9fD9v2M6n!N$~TJL7u!X21szII0+gFyi|pFr7$Vd(NTgH*bWZa@cc?;ci<L~TMf%v
zS*4r!li0BrMEpjI4iM>9H>p}2Y;Ae)6cCWTvGIF@C91Csqh>*5(E=MrHcu>SD}aa=
z*=T}SP)G^cMn$XCVDBPE&5v~o&mKMU^zs`ZK+S=h5LwL?^bN2{x$y^`32=PSi;37A
zpr%-3Qpw2J*lCn%1-9(&8#I3s92S;i+9~Dck<vVAjhmcy$=DA{2QM!;@|)A|&{K`W
zscb6`bCTQiCWy3gC?bIwyiClcL#n1|cYwbM7BD11+bSwb%+MjYOjs!Kt+5kE*$)zV
zMoj!#<(c}L3o|3RxQySr=8&Kue0xBncv!~ZR=|JW92yb*`=c$dGnwBwwM6;}+l{O@
zIFYW*yFKb2C7JMj{XeHISr{26YOVdaa*|ycIGKeZ02#;5K;k-c&Yj^q79t>%gE82F
zcgH`WsP$Qf&WHe9z9P87NOl{q473IqK~9Sr3g5H30ojjxF$L`RM;g$X(GwOO{5;)!
z;y-^%ff;_k|McI#{RGc&I?!5-!yLzsinarfa2G0!bu<#%&z7+^z-lS5<LIEXIb-IB
za}|f&P9&f(Flgr5Bp`^mq@)L?LI#Cw)Q;Fj5f2gD(n3W2V8x?GMsj;|2UAgd*E(u>
z7Uzo7l~*-23FKQd%d8tUX2P2{6EicTwa-eB30CgQ3~#3X<POJ4@*>I2*WFjVk$qJz
zy`psG%CB?$>`FR1-=QQVQXVG%#><nan(~)t@<4ug<;RbzV2V~~D_1j!<SQhYAx<my
z@*QBcuqp0lX3o#cL)b=3p^J;!?sZwrj;_yk74h2{+(ViM_6oap>67>`@ZU8L!8A*B
zy|lEn8((z=(vX>WlU!G!s3tg;KvQBZ<3klCChkwDZ5o$9gIsC+;3dIL1S*y9ylhXk
znt>cHB4qjU8$?qXUAXWtGc!}2PYbUEdK@6C=s}R~#UFpfHMf|ODU5RIu?NFzOvQm8
z)p4rs90JHYK#)Q;nyu~(m<#h?0VtvXbe^m@h_|hgHQJHPOn)irULhDO+@p`0pcLi;
z6{Rraqy~>M*LvtIA>BnfL2H3i?y|?`YC2|SR3Bjgvj(2~V_ki-=mFIgdl`_lDDoyu
zO-%u9OxPhi=KcHkKP<9~3pd#v-)JU0M|S#`tJY*K1(q7d$Plq<SSteI0%JWr^au{Y
z&O@hk{dzN&$y93(?$@Y~mTPC0xh`~8w2)9sN+a2>KUz^%mO#VN&H?d8fr@!7Xu-fY
z3_Pj(iy8SDU@KW@eRmx_yPxi-pLeN_5ETbMzoM!x8Oe=CApOML0h+1@NlB())g~se
zvQj2(;q@NfD>YBn)i<|cju^J>iT4%bC63bgOIHWU?nmJwiU|Ygtj|8j-ZomeGR-gU
zzoQMTvlkLmVkp@hYr6=EADt2=iUTTKf9&`5Qr*Y(T0o%KewSE?RTEU>(yL2HX-mt?
z7w6`f3Yi%hv4b>%4NXwa)h_-E9aFQuPgii$h+&E<BDKZcGGSm(>U?1O?{D7${U)TE
zXV~jb(@4G$_f(W3%Mx`aFUZLW^W+(RSO<M(US1xO*l3Y2=1l<Z%;l6OaTyuGo{&gQ
z_4^zV4E_A&OQ0u=%KT4%ubdluv2yz4pIwTF5!#a##m}-!^LJv=`f0i9yOWl;{_w%>
zGy*`z=(HaSrox$)yF%17ZH%pdo#9~!cWkVz^d^w`|8nU*kg$<D>|SAgAOQ`6kOkB3
ze?Bv134uq-;RFx>GEZh|G<U235lu~!iSsvIc(H8<j-?jXH(A6xGXH+fHoV7cmI&?z
zFD^P-`t92ZAw^)q#U!`2JMblwx@s2~Xz;|uY!(%jeuMx%yKQSbhguB-Pe3><fZWNv
z^QA1q{4Ysfjhu8~rK=w;Yb1qnDr!b17mnkOV2buuJ->#=MwmS`m<xQ#+qOy-)lzha
zNF2M!lMf`Ot+UewTyvSf`=9%>0W}>V&?^Nd5HAEaw+HVg2Bn>sQN8yi0g}Uz<<L{l
zx?0bpPV<tDy?pKJRi?Z((CpOgEPGNJ+2}?#ZG(H`7g@vD-rZP6^gKeud}2u%dV%Es
zEE}jfZqCw5FAQ+-rG1A&&}?czsVCuh(K{sIn~m47B5kH1^1cTKc+&!4yEXoe2s?a@
zo+2ldG4IblwRQvbFt7;pD!x>CJ<i#z3ca}>>s-To7`vRDoI-f63j!$s*$x!LtMV}N
zMUX*-rhOP?2=<)yTj|;YUcKrEsNe+}`t$<H5+8>a#mfMRNALgrdlZ`9TB8|D=$%p^
zenBgKffo^i^>gh9XL+~ng-e$%VZsR*%9}U$bynUJ50|h@RpnX1#(=9TQZ`gNw1drQ
zN(rwgQVEdCv0nIJua!jdR21si<M~I4&ljh^>111rsFY=FuxX9JdnK7WF;Cp)1<qkY
zo9es>$9&TDw6iF}W9v~Efo6odlAk{bcZxabVR_u2EtH(tLI)rZLUqN#jv*s~ci&4x
zaf|@TTIs)tmB#BFS9>}Q5pGDi*}84e55nkOdDBh0{-EQCIyr=23thwA_MGYDn<c0>
z<oKH3|NGN}<5N-sc2;ct+Stgvr}!WnSsMe_AE1Fu-c^!&9Ka{eZE!mbEs#$%Pdxm6
z*pl(yXQ3db^br|XL_`qsAe7%+4Q77cMJU_wvzKh_+Q3#~&<YLWOYoi$YvFkQy0w3K
zj3zTZZ0z`3`rX%_DUU31^`hZf0~G}`JINhp(R=pU+oG<%9!}`P?_R;=7*r@wFyFzm
zMb8WTktgHoI!tt6a~wa3;tk#>InJTF=jGf<c^1GqdV*1aA&W{A;5Wi+um>$IFH>&a
zO=!BWDJ$<5t_DK_$35gaGBWp(!;im>W*NXDIw|cQf%RRBM^pI2qwdvIS347VUPE|H
z0|NuKwU+`b9R@L=PI<g{?NZ3pFJ82|)IJybb|v*}f_T%(A4jeYOR5d?as*gDI06y9
zj}P^X7*0Jgv6iRzWcRbjV4@=Q0%61Zkbs875t*;ptwAO^*xT>Uybcft0OYj4t-XC1
zcboFntHiW7fIBifwr__T33`s0217SDH$<2Kwo15r{nDjcWbtV1fMheLmmqVagMu0|
zO|>jL<F9f-{G#2D@*P7KTe~){pS`)MWJq6!B-GAj3rmg{^m9Z^Xl#h4MW64VI_qE@
z#|V|Lb+ch?@kIEID)9@Y&ewW4O$#>#Bz%d;{xvm)u_FivO22eR_$PK?fXCA_GnizR
zhb<Y6c$q(&X<IxF4=CEe9{4<b$i>euyeV-bxF{REbG5a#Kz%I`fI#F63Zc9N-wF&+
zy}<Fh$`FQz>!gSrIWhsv%o#Pqx^?UB8X9ifBQg#lUuTZ>U35Is%Ts~QH;IHo$c^lg
z-H4`fH-bi*nruPBqO65#j^{=?u?zT1OnSQhzGjyj%zzo`m7rYWjr{%KvZRBQ#S@-o
zJYR}(m#%yGc8hP>X1879HaxVF%Tr$jLw!8a$KI-SEzO5eC=e%^RHP>z9UUakr(~c`
zPq!~6yjR$RUR97FL$67+1qZm?1D+VH+TIwL<zz_7si}{zm2M?E!{g0f=Pj}$MjEqV
z6}VZF9N8P~#nEJC=~+cDAbjBWd-1fnDbeub@wfTRS<f2sp8YMZFG1LU%D9REgMPDc
z7RkxTAY3pq$FK=QE6)Du<Htk%{F%4+0|t}%iW}s1p#V9TkRf^+z?qrj24yc=F~QOO
zKyt7J6C|DX^g~=+RXT`FdLe2{c6RorNpb)+;M1Yr3Y1|F6|;WZKp$E3l8lX(_N2^(
z*dUtUwBCupm-`k}uhqof&dEuUjmzk$R$zeCYWsFG&_MWfbBWui84>G?5K|mPK!PMB
z0HvX}tO~x_mhTYaDTZNEOUkykBD7ABz^OmxaIh-GVo_G(+VPM8+v^~OAC{tK7X!oU
zO1=)DZ@h9GrePi1y)`6lPt{8@X=v3JmN|bf))SW2%FlBWdUtfE%XlR092^0SM~F%e
z#vo?KP50O`fO1bl8ljWYR8pb~JD3a@7f!VY2&Oq90~vmqsYao5r03rkZr{B5tXF|>
z@@Q)E(Rsnx!gCBkD1_(}N(<D}pdWx;-|4(5fW`0Q=f}sz1qq`b!WoIov|gTbX@`rj
z2&6Gg3Apgb-+O4Sk48^$N9ZZvUtHrd=_snOpdd&xh8oGRhg&5vLd^Q1XVVY6c5mX0
zV_|&2>!t;5Q&3Q>i#lHj7FJp#XQt;DB-=#_o3hek6bj~J?iLoYpE}e!n}`A$JPLMr
z&1{R?CMJn8>?u70Rw#6dY*IYzRQ~2R=Ma1^kNfu_Yz3}B*eEfW>kIGl?@hWk;_F1S
zb8fXgy#qi^Y~!4?u`gc^N^duz<1UnjiI+xlYP)znbbc8Rb9v9q?OV$*yzi-36Xi7A
zbi^hZ2%)HGXi$NdET3?$nCpeuFbO*gG}PErvlGhEs$dP4l#~Fj9C8Hdf<V}O7LR8{
zVBPR3lhSW2+cs|7V~gGjjRuO*U-+94nlMA>EAwku(BSuLs&9DkdrGl`Ky;bS5u`9-
zS}C*|*rjVv9c@n=&6yN0DY#WrM#Wl!OD3{{AR|RQAas_LthRfBjH3lZcXxa1jZ72c
zNg2=tIPgDz{tQV8b{<fhfmJXxx!|xtx9WaM3AOm+#}?R0VAR<4nUYb0dL8=jo`p#9
zfCTZ(kiY-_3`-o?3K{Su1bF4I^t=De3fRZ0L&NU(Wx&I>DJ*S{&bt(@06_X<dB3Vr
z*EJ&KE3gXMKDdO}%sQzn6Ck}1^!4@YSJ+ZRMg$I?K-Ms5%-Lc}wml+dPhY>5eRheO
zMQjQk)NsqYAt*?_UV|Ag(@&WyK%t6j1pUA&X>XRTeCrkgj33`!MKrev^Th_$BtosL
z&QNbD70xvd%m&=xDok`%=RWA9B%KkW`OQlfHMe+4=tvy+)=K-1-tL3N-8)*4G-BtD
zfAi)#B4M+Ij2<Jyj(XcRhMyC&v-<By%ps}B^TvKXk8H|AA(fcjPT)0<9u>XKLy=ad
zR{rMdTfkH(u>)ggaj5>vQP<I7r-i__Oxw%0pv2&m(Ux&Qhg^pb?~6ea5iGAsF)^p!
zT<ysGs8I4-t6=uFR44TB_!?iW{Q>i426`m+00S7GWTq+(Mh`^Iej|Y_0(8z!=$1Tb
zGh|zlf(FQASX@BpjtdTnjpYyqTUbnDVO_U}Fq@_`3N*i}bO!bFJ1K{Y^l#nTu7m}N
zFMi}sJ?yo6#eKJ|Ew`e48GBpju3lX`i>1yF9bQqI3cDW#fDFTOKq1brmhpM69R=vy
zhC%eyu;>VKWSVy3TGN!{kYAa`;z7hFM~hisU=PSc53x`Vo*H?1xDOj%k<eO!v|=CZ
zEG+c!2-3c5!X)n}Prd>GRpuCUw4ri(uO|K+PH!fnG+Xo4+`Z*KyjEscdiy~?^h5dl
z^ZHD~2Ce{E!pz!}sVYcBTjk~F`*!a1l0j9tHwIsA_h;GuLn!({NduZ1o+7educ!V1
zAjuH}q8WPki;cjdFi_AAnhf>&MeqRSKD!{hhQ;lfIC@(b@K#3pSpYt+H3@hc;DZ1h
z0Nmd`zMOMk-kTenXdhNvAA{`gFKeL3I<cKCXyH{HbD<Kq_q)NfF#-YQW;7N16_bP%
zv>ZEBVFSjVdgDe|@dRoyE$4Z6PsEnq9&H1$0jhclcc8hs875*GASsCseEBF#J--^h
zGwHJ?pgBwH{~I(%)9}Bbxdp~gfW-=3q-mi_@?$#k-gZAA13mwB+o2Wz^!f9xz*VFY
zT;)ngNVpc)AhVyrTP0o<6K7wz@Xg-bt^~l#-26zAe!ktZ+;BC{7!Zj#+O_iS8#JHa
z(ZjC!@+y~x<nINNNxyUFZIeua*@OGSe*8RMVSS~S_oBRfI|{Gjz-}Y!9Q5(mUkkx&
zj*L!}B1SFgUK?ydY(cc+rk6wT8VlwBZ;0K%$+(78M#R=XyTs%#Bds($(n><7hFgR3
z1BE;^z>~jzVePjP!Caq1iP_t3mf19?nKY&8bLoFN+fe-I>nkfQg+~$+Z?iVJq%*rj
zE%tvKS*tGuG63W_Y~XSYE_u1dQBLkNK{xPehyfS`{)$1J4qM}z=b%~^#8_UHwU`pJ
zB8@i0vVyC!nm$Apwm+O=349=-6~YilG|Up?MeDF(fWU-kae8X%80iy|1dOwF0yzR?
zVPg2_wvp~_NG4y8!)R#inTnbkJl}e8YTKFwb=Ra`!1PK}?=TZHkcc0%ZP>C<38yxS
z{Qd*7A`1Ls#JL(Lng96{*A2*E|NYOk>oHUQ_dgyZ$H4pFKk{V$`dy6)YKx)0$wWJH
zUgqT0a!qWf=}4<wIG5!xn%zGa^&1q2Q;1@Tz~N`UgB86^u1UHt{tuQ(Mh?OF?~i=C
zxl8F@O=YDnKTsbXGa?j(_}TODoU03})dV7y%1jYr3NgFM7o!&gWFZXuf~^pe1L^6n
zSMY8MNyXyK<lyK5<s*#ZCNVMiLM#O0*wrEWumUb1r+FL7JT1qG4a9k01IgaWPC_@A
zE+;_%#V4*D47vcvg_mrCGW;xK=(}K+j7AiMG(sYAcnpO>4+Ij@6qGH*S44S=#7>Cq
z!3ioU)uEaD(*~W7z3jF^2q3(PlL3)wsO_!3k%;}bijDYH>3ccO`ly1>a7eiP2KjkQ
zKrHYpO?y8DEvUuiAsqoQ8zG5F#!3h7bcu(7z7B{JF{v~-c&3C#8YaTs>*r7~K^J#n
zKb@jt4SE)oqlOsLsIb(B-}E%Jgx!XWtoD>w>32XQ2xi!>bn;{|X#D00?C-%HC?Ilm
zN+05Dr%fry7`LQ@iTI3O0!j*>xFNK5>@ny%QqO$`#vVDHfR8-k?MmbqC=hv&<sUw%
z1CqsFg;Q7o+c3<%7|BrF;fr`(FRwSRUkiu~!4HprCX#mLY_0*vg*6)WE75nM3t7RZ
z3=Iy7`00Oqv~PF=)wtn1dvxP#myI5!<;P)GR$`!o!Izi5D<^?$5{?jJu$#aC!5BbX
zpFUmiE5WxSOMY0s!yav5YZ7U7#i>;sdi|H9X#W7{Arj#({(5wDv~t|ewg$MfXIxfi
zT~J3KJ9ZV18JHZ-DinGv$c8NKrL}Uq2t6y*brGJQV@Z~<q##qSHT}*}+i~px*&TFr
z7Fa<<HFx;1mkNaKuxpKP8gGl+g?|c0@%apHA7cCh?w%(Uc^Ax72%!it6r^)+XJV2i
zOcw0`IBW37hhZ_onVW8(V{&I<4aXzU99ga)$S}ei1)7%Tv$8~N8nw~TVa?Ti{w%Ww
z%{z3{cCAi^6h4t~#%@K-YtG*WIunv|z@2a!C@BSu+Pz0T3H-N3L>VefA#j!<VPS*4
zy`=@1)|VU`2P}M$^$HvC7hu5iDC+^Et8E(x7J>Z`5YT}bfLy6$HF{$>fukBJCeiXE
zU}7J8`%X-=#h<MZ{9v|4X<L*faTD@z6QGP1kb>*$sNLi(EJpy%ysF7hQA;h10sKcM
zy$8PTB7PTf3jijyifQ7zF~DqV{j>cn<SDhWq?gz~2>mA996ro|$A<AP%e<&F0OQ@f
zG>-u5f#8?=U#bwQpL8U7auJ+EEp+xa`yseOVTUx}%b>c~NS`KmdG98I1tB6BfVHD}
zT0{o(t`{Ws!H)bz+!2T$aIa9K><?TG#t3qT*SPSR!H3tXr&D@+@z{Ntp<C(%PK{R|
zZYgwKU~QqeZAC3<?M_D52(TqkO6y2eSn;I}uJk<)0Qi+>|yUQLwi89yMyAbOw@%
zlL?GwC}cwJdf3wOPGBx4k<$;1PQP*|IoVS?ZP8{vAS%>;5JYVcIQ#sF$<haU#es(-
zoB+~kftZKhNaz#sUIBiJ?g<GRKHlD6q@_@ggJM8rCksk@>>~a3JMlbRHwazp!Up6?
z_|uftQiTA=WvIhnePdJ4a8=xX6K?_%uT0Tz$<|)Xk82o&x2tpjG|ry5eBILo)09jV
zP9YIaSJQj)q%vz=0^y0&etebd0DBL{VO_WoanzOA?l6B_2`Tp>Gq}CF+}RnRS$%0U
zMA%xVI-U{brfV=d-I|q9Xc_I|cwrZObr<`GwgLf>4nXL#K#39;!mr4qWLPpNmgto<
zH9Jty$!F9VzQd|71k*%|3j0liA*4mv0iACXO(2S4=&jDIebGpH@&Z_XWTud>(O%%x
zdMXV}ib+%QJ?H2UI6Sng0nd3FfEOh&d2tIY!qvsXRcQOnTA0fGSSr6oFa8Krgssfx
zXFZ`*=y(fay}Ej(wR2?#-9fS&PpJRy<ES~ANMJ6TKG}e65t^5iBGx@gXu}*R6nf}v
zN_G7uU$$=PD1u)D9wT$qB<u_L482N#Sx=jB&jvwS;R;ru*g%qn0_59hpCSE+Bh9K$
zK+|F59X4Rk((i!ds?hFANv$C9em5Q~PJO(5^Fv96+jbv&jh-IaJGT@AuQ!>kVE@?R
zMKCugVr;$>wyJFhRqARQS}tA-%iVgTU(2a2%bbuD(h=jWZ>^gd1!!G0JwDTFnkK{$
zOycF|@5JE%)4?%NAJ{_!WN#%~$C10An!pPsbM71l!c^W$MI)4lL`@jRj+h`>ehJnc
zkQ=0d+G4a^0Lp8ho+K;_6S`K!uz^f8N#Kh;JvTuSjhRBYXt?jO+>6U@ZYsL_!$$uL
z*A!&_?O3@uVVp5%_jmgXG385a7<khxvh!ZQJ|rxx!Z?g^yF}E3gAexDFkYxf(Hq&~
zH3X50w-SA=%kq#GG;65dB1NeKWdDBrSP-l?-VhY3;P=yVa#~tjb7AyH%Uw%&bzUj5
zE#xnCpk{!0+)@L!PfRmeC4zOfvFw(xP5xDY)o%8rO|Z&C`mkc#w?i(`>J7rRx;8KR
zznbWzd~9|THR~dtGmwk<s4TP{GvDETS5MJ#ugF(H;{u;*O-c!%XWVS9EHfmxQ&2!H
zj>$3$fc;TE@WL00{U;|F?>2;t^@gjYp3`8kzkZE?6$b(}tWv~*=vd}k6GMIj0-oJ%
z13rpU|LWB#0O!OchmFE}vuI9}6>wyV2aLA72h3c9&{e#M!Qt|ug1un*#%E?SdT+>A
zL-K=Ndv&3)Fvor`v24jkzoRQi%AaXL-wQ30x+Fu#?&DMSv%aklzjAi6?D&z=b0q0f
z=+RS4K#!qXmXMUhq#G2*KHMYh0iK=~mX=7=z2mrm-Vlqudt_wf=g-3-m0%S`oR@5S
z^azU{a7CO6Ognet<d=d|N>Nb}4V#55S`oZL+qP~c{tMvt@-leAiLlmBpCF-YMcr&|
zH;&B#U6HJu907BK9;ic02s#qoGciC13-Kqqc4SDuU}Noc7?Vs<T>>%>)%5Ybd!MGH
zOaR!&=?_MKAJMK$!0boyU>{j$Kx?G@l>y?69c_6B&UFay&#@@^eF3tFF$#=~%tx^p
z9Q@m;`&6`!PI5M~8MTpgTb++|{iWwt9X<;mKFEa1fjv1=5En~C^~xN>1q-cn!HVPz
zhe5FicN>ZTg$oySsH(y&fy<%>q^|?^qH4q$1B@1uGuXtQy?*Vf5%3cNBUFxPg8=Tb
z5%mEUWt5bY7&o<6u1%HpL<<znz1W5JApN4XqqMRT$x~vWLwR_7JOQL|7%@>`0BU>l
z?yk^-m>!Qp1LCZMicxJiqe0rjyh{Qfj2j22yq$&^oQKWGtHoMAKeNfm{va={(#dx=
z6T4!+JRq>pmsv30K3QxV#0=exFP}iTq89W##KG}AFRv|_$h)Fd!phvrH4mZyC-&YL
zD3S-aLD^+B__ZP{5WPG|eSGH0dkx&5ZV3u$<tHX8GzomhRD118O5k%i3*+$SLtq0u
zbY^!puaW)64p%u&X2DyYEaJbbelyA&F+tKd<oXH~BRb9Hmj~Tis+|?=cRS-=BGg(0
z_$BbDD7(I0e6KM2LX9s3C>(4!Xj(yy0Y)-v%^1N;!XQD7S;iGyPXAz{7h>ywyyRVI
z`n;-~aN~MDly6yt?R)F)V;@IL_Qt@*zS_(00%++Dj+hfCTpQYNW%;);%)I&20v*%s
zA2WP7X31q9_iieBsE=xThJlG`4n+oi9id*mYQeRVcIO99dRp&N)UH?(9KX^AM0EmN
zF;dI76aA|g?ctzLNVTbq+yiGJh{^qQr5`@18Ym-X8+9I%?NHC3J$G)%^qOwS|05uJ
zYw@G82T_INN4qr0kX12b^{R2~jk{WeM~udn@MHdeML>gvZ^ZpC05rU<qZjm$QD-g+
zE%Y70q3qC*fErxrwQBWvM$f=7gYu0u(h}rUq4$xBIh$qQpF5*keD_XH*xB-}AJ&J;
z%>W9cQ!+GsyRxpEGi7oS-O5t!X_^!clwtaDS*@4v>$g6nufr<}Z)Vvx5HT3glU6TG
zThVJ_`6}+}TkNciJ9fy($bbv_c8mGV)fN<C<Kt#;u6`1OjnCht)gqVrbSG-VW_O+*
zK@0JJlq|{YvY&cFXSAh!M|2=`N4bWb1?SE)cfAX-7QnM!s5t94g$y^_7V9>>yQ_lA
z4i5%986oB`T1SJ58CnH1Ku+-|vCieA;GW098WkG4i;nIwT&T(<VFnhKWfZ?V85y~E
zJcNJ%CmYTgzum_l@~Z1E3Qz+Rsxf5t<H+Rrr_1Gzag)gMm>kg7@8?NTjR*_7AcK}^
zo7%^!7dWIQCoN$7j);hNk$@tzy!_S6mk$yY_~m}%m5A!9NB=jDVhfi7FMT_H8Mb*<
zH@w=+(WQdpcopCVM5h8gy}0)Vu9*;$NIB(Pexsgl5HM0Apl2;Ac9SEM_Kz6Kbtj9{
znUd4-FAfS-NEKb&!PfUzM9`y00yxsJPe5=Hb{FAQ5IT2tX$P>nxVR`gWSSq&#r}((
znHX_{vpFMU21N-fSscPL=!$gm$isn9LzsqI`T9mcgThIb2RJ$D>HtDf2YdF5Q<EF*
z$=3b{LHL$Goh<Wx!a+{hJ!pV&c4ua=h{G01S}&OxR5!GBFlfa%bf|S=Geqy{^&0rc
zzOzm2#wZ2&xwultike<5qhj5)2k`~i<I$_@?aBg)<mg}mR&KdT5WkJ>U%zdu!O+C$
z39pYjLeXudmL@bQX=iU8;^Q;<`dSGhDfFC2oe9*_@ST`|Kr-N(&mYm{Lje-sU<f3^
zsC=IjfB;yiVCjS)`mYu9*vp}R|4qziE8e9V*RVE7Zeez8to!DHrZDCQWEt2s_!f=c
zZAaB9Zt=r2?%W!X-NgqFhq~nYZavApCPTdTKOK4_H<p~r3!%(!JGZoOI`L4!&~<pr
zK-8d;He6!3*jFR*%LiJZiCloRIHFKweFI0|X+Ojp7to{%Zvkc=fsq3DGtk{_4m2H9
zA$Z3yPt>#D2=ek`>}657<bb(ZRuo|^JNNhsV^arW*mR6M_Ocy{4czjS$Zq&!uHD2g
zh?=Zmw!;B%fG8$tgp36=eq<ph??|ae2<OD}wQYxNbd0|{DrH16bLX3FA#bVfzT?{J
zKL1eXl;leiJ!!_$*!Cb{@4Wy9_~ON*B2mx;qCDDO2MIY6Kfp_3AwluOAucXXNGgyU
zWvxgO780U^xog{&Ejs7G8d!(N(JSHNz}O;)il3-pH#@wBcuW_Z2Eo`BUV@<nuZ7oZ
z@ODtsm2rehItV%JarL~)bq!r$_!2*O+sk*540R)clRZT>4_F5@-pj!B+=%F_hu+>W
z{h5yH>$u_)pUqRw{U3?dCi2r=bJ1nvr>pPA`GNVU@BI!rcb;7MZ@}eNCV`?hFMz!u
zmJq2KE@Z4juKB!<Dd|p<xQ;+5<lsnH0M%#*V0nxCU(?{{h!WV1HN9oEN(+uB%z(Gu
zzu*P!VgVZCkJZ(v6s?fKb?q84{}HkcxMh!kNJHnoJEGDFg~9G@4o@o%gG3Z?#DqeZ
z4;HTA`2I(+n`VfgukQ$^6M)*;u#LqTW3>8vdk+N2s!MK9R(M{Q+<6;>-;ZG)v(tzz
z?C9vwNeN%!UOxo|(87W}G2KWLAT#SWRX7=YEksus?{bY7KCuKrNy26exIFXXQwjs6
zu+`23f}!!a6r2f!?b6!%-N`4ymk|A;SG5~N5(+GEun?JLs~4cDe16V9@y0tttZ%5M
z^Aa&Ja235$(+mq)d$uKJ%BXM#X4~)8j>P<iS)Kg+`~;Jz%_iTm7okqU7^;SK<U=4L
zt*wvK0-8gYqe4R&4-qeZwQ<ASouhYzHbcmW%89VWts$!sdU3B`6Etrk>xL77UzgT7
z8WBG{4sem4uk^(*One@QA#BAm?6kBPbV4u^ME)c%ucTQQS^Xb$HETU<{fgU-gcazX
z)|zql{Pum2s3H{dqzoQ5A2XsGh@W($P2(<y4j;aGaR)JyW~1r!NNWi3YQU7$|5w0o
zBJ6~>2idAeef?#2P+&%+lTO&C8cqM;vt75UR(IKs5;K`F>P*pPMS>%+Vy$q0SD`_U
zA*K-0`T8T25D&_&YUc?i_fvJXwOxZsuGTreypS?Zbeo>~VIit!yQ^&v9$XAWeHHBw
zirNS8KMV{maRnu^$Q><PX{ef+*hr?iy=xV^09lzn8@q|gNx_hPy%zI0Jbe7&vc%YJ
zx2;SknS9T}{HiXwr3={m_ma;0T`nn{l&ckC4C{mN|Gh<bEHa)->#W*cL@VIFLSvMv
zXc^#E>M%_H=Zg65ZCPS#dXNLPF9h2g(+1$BZqBz13?C&@kg=HwNwG3B4?$PBW5<st
z6B&D(C<`_hOO4CZ&fFsjZ=UdH-qRc&RHdoSHpfZ1SR~BbMA;$QG<L-DmnL};#Z_ED
zitagfuovi`H=2TC3d~1JqvZ@R?WYHhD2(-O1B89zq8sixst@$C?7*fU7ptND-XDWP
z_Z>858#v&U4lX`*iDdAA?VzHCdOsefHa{Nb_|y~vf)3F_u^{WBwDsK$r#aYJcS|{D
zRc=IoSrysf=_f|O&Qy4)2caxy@GeE#Q6)MBh^n@@e}C>T#l_1@n0k)gc^pScU>W-H
zOMdM5JFbg&S1z6dO-fL^!^hQbVkdzg+@0kobUH*SdUwz6-GrAd@p>93AaV30Xq0i8
zK=|;2qVo%btmjub%1B=F@<IE_xs;)dF{>%<uo&~n7go{7))<PSlrR@pgiSzpv60gH
z9JWX54nh?|@ZbxBaZr9k()`Y(-5!`T*jUv9^cP`l%kLeo)D+1(E#XEeA73RyTSKTf
zG+!YlVuY{~)Dp1G`qt@a>Wt;b8cd4ejF0YJKbR<A{bZH+KI;kTGntuWyTVveNb!CO
zM!yeFIMbrzJn*-wwh%?kiHo=Rh9*B1<&^yu_)Em@aWXfaQ~HUu;=-iZkhY`!?No;T
zopV!NQk$cLI^SJi){xu|tWj!B(A?(k?rG9FWg^<UrLrhvzrJ6;McYKRlc2<xJ`WKU
zBHub}^IGX9tRwhZ{Aj*-0)2rblk`w^9OXf2KfhN*v?^`bD%TXgkG!|ITo7Z%fpA{t
z>}C?Z$hYuB#gOtl=c~2tC;z%zPJClB;v2i3-v2>5aWytjH@mpOdR>?1yNpM#d9B_b
z@dzKj*SJ$u;YH)vmB8kjlEa5@j4x9d-NuawUMsGfLd|Wzu~;eiWD1bAFm~N1&)O**
zDq%W3b8mtLw~1^WB;#<_M#(+U_Zt(lC!3b|lAA4-?V2VcwB6>+sJc{06ctJBK0dFF
za_!#z>K<TTKbmYEv4PTm=N<`VZL<#;&2TiYx0*N4yB1GSok$QM%MxF{G`Ni_?|RVz
z>4P7n`MPoiX63|5Ig`2WyIMHej*~_VZF+v3$7jef)s+l-m0fS&YVNp=js7QY&;F}W
zju$x{_#kbvUES9|eSKfl9mbjG+tr7yE54cY1pnI7pHtRXZE=Y<N;k8t>XI|A#E*D5
zMe^5WU-^9;=b;%|Y07sgj+eSxbGvAxV&O0Quj;CK=?DG}lW08kKymi`QRmF_JAPDj
zNZXK^3CiayC)64q=fgCPKVr8qyfPIVhud**gbj5=KCWjBIgLT0Je0fWwl(d4#sY%I
zRs}0UN>lxQlm8>YOBrry^B%CSXS^BE#-U@Go0~(91M1&bFJ2HL520;9Xxvix1C-;e
z-`~FR66Qz{m++f^Ygl(@5{(Ap#<>G4)=pPQMz39?4am$Sfx%ao+|%{rUkBJcJs)k0
z-<O|N8h&F3L^xgI+Ed4aM+3`-l;3y68+|Kq)^eRny0&1ti(gA$;B@Or^Ez!oiOw%u
zPh}O$*e}1Crud%Yl=*j$T0^5o`+NTlX#<f-kddL+@Vq4$ieb`m9$$>GKgff*#wiOr
zE0NXv#3wF!<9n&k<en=TdddDcsW~Fyl>6}Z%_s%tlHa&c(-3$VL|3_O{1+;e>H#4M
zAP_nwa3u(G82x!iXB@CzB#4z2+TSQp>VHGWARz=oibyFlGc$-qQ4(15B4QnBow43A
zm*1op6h!5lpeskki~n2Yl!iaUNW@5PI<F4rMPoPS?QI_WsFRADSO|?}m(Dg`lBMIJ
z_DQw(T)!BC9Wy0))dnK+V>^p(=@#h9&Yu6Ws@u(LS!JZp7fZ#R(Q3|~@0!?jICz!&
z=_Z;kzx1oi&r_FV^S|eW#gf?T4PSR>END8Hw9{|RajP!AoatJNbg~ItqP>Fy6yAtR
z9|H2i8IIbW3l=?Wa*I%<Ed!2M8?}Tq3Kp(STentKS0fXC35yYx-YzyaEx=+o-=pW;
zNL1;E8N8$I`a+Q-3@N|jvrE|AF_rrGp+f^G_~CZ1H<gotL{}YBGW1j+M0RdD11&EK
z93vwLxinx_h7^(8i0S?KZl88y?{K|4a8BnYeIqZWsb8d8{_A9qao+Vte!ZmB;7%X@
zeRIm2LY{skjR}(*Q>*&*QbhThK77<o-X`BLU$(g6f*^hUP~}&Wzpz0=HM1gof^wWF
zJ5^CxC(#$qeWzjvGA$8)uMncIz$)Oa=1>hnw2CYgYsCDW^1wBVIL-;sf)u+6WMf#{
zz+eESDZChfF+U`Jv_i5uN-Qt|Q0&qWQ}l41=;54zV9HqGa2+0&Ue=iZ1l1{GT7d;(
zlHOhjb(0_!Mca&N_3Rkk?w<?|qLYB%8ZXJWS45#T)3P|^Xy)69Vp^)$F&t**ll$E$
z$LPPa32!pubf{%H=G>SyKI-X3Mlo3CNHxjuaAc!mUhCuTk!$y7Z72WAmX4YGHM@~T
zsmysSD{h_ZmqQmCtk1mE_a8c@Y-q@LT<ni*@DEg0QisD4%<BQd#s$sMcBQjt&ti}m
zFGodXB?oayK(94dv;H^2LG5KyF4A+3j(`unzqKR+(0PXA2_S=Lnb1@t^%NubK9T-h
zXSJU7HKELr2;CZnmq}`#U*4;Z)(-YIIj#3=v~Z>^XnypAn!(ZJ;z~AoR(M$D1-`1m
zhgS{Ve{t3$6i#68-Y)c1Pyl?l{e*oAgWP0gWkEclx`j^s@|(5{<8a=REQeV>+R*rV
z4-XIeI(WU4uHINBPdzuA%@h0L(jhqEWo6tpZcSYj@EpLW;psGyJvp27j}`!+J36^d
zn`#Ys60R9o{Q24nw|h?i3|4E&w2WJB>ev}#TeHmI+CH}J$%oh_6WzXa^{bht-7W8K
zkL#^&B0FIj6aVeCp$M;VQo|*uH@{xiL1ag$?_{RRm`%-mUK;J5$DA<;t~@--A)5KP
z#AEN*<T#1qxF<7Ft55;j%GBiKT8o2#cMkLOGkOsd$r-|+PzIS{1zHRmMMx`vJExBc
zJb@M(s2jY|gwQA^hN!*1i!+@g%uuc`s}eFCIlRBLu<S^#vd%T0<H^;!Xhz%Ne*4E}
z4va*pi|!pAAWxs)S6#+>={}_y<tHxI@Y3VT;@0}v(4Zw#<_Q}$X}_C5bqtpGjEvD_
z-e@VH>kocZCBel>V4FUDs+Z;qsf5y?`EH=vho2z#G5&aMSOEtIhc7eI3jZE)XaqM8
zS_NfSl6tlvxDob%CUYh+$m)qKC_oL(Ax0+BNyQ=*YbA$Sj`d_y2nD+sZgkw%9?vP0
zAm{2G5uziSf9v^IiCft@s+lc02XvFGE0ny+Se9-%`zrAal1n-qf5~GWq5QiAYN7us
zRh%Up*+$&&iD?d?>}8I@{Q$Bm#SI4sV3_zRc^Ra<wEg4?G6d*M(3Z5c*!Pb&pXCa&
zLD-ChM8t@bnvzlq(ksDRe_`jq@kqdUyhf>&xBsjXZF)cN`c_S6MvOx{a743QThvM8
z@^Qa-zo_%0@9idA;#ZVgpX8NxRSUC_-Qc9*m-5X&vyIvF4)(=|K0X-vxrk$z_t+Q7
zp+xS&qr(?xjPkmUK;lOPuHlhm3x(j$x$7P!B7_LK0<y+$gng1z5$bDr%E7Z!Z{A!1
z@@1%=8J=Lmdj_ZgyDchch}c2*o%7vY%8;1m#IzCa!6_1DIgTCTmLH?%i@wM&5@YE#
zn<qvxHWAiNwKC!>5l+*8pHeMx!t#4VS)iis{|_i&{o?-~1uVP0PcqIeWleiyuuVOx
zqdoXnNuKkj##oYulyG8++Uw7)0jJZ_QEK}xa}2J_l1_>C)a7CHI^S~dTuWvMqCBBa
z0z(zAo?WlbEOcJ;&DD)?t4~4uoz{};d$D=L#*KvD49Px!SN39CJg5+Xtp&a4!5HYD
zdJ=jN4Ey!X6>v8d^$s}U?KJp~90~A*$wxO?Mxyg(lY4e?6C-gWMH)KdhxJ6s`s2w=
zKZ`_Lit60+J=}6@Uwf#vHI-VbxG^=gpy-KTUl#W9e-}7ja81$6BP8urEj>^opaeT<
zonU**>Cc}=gbnx6qk*0+8OF>y_j&7WaB4#%wD@Pb?&D(fpbJ3}5qTKu5!`{e*OJVB
zoW|e$c}tQRHQi{b$x&KIRE^SxIn1~BX3`8-_Fn1D+!`G#y|Ex$qj0aOoJ*bU=xGaQ
zqi-6tXKY>dYH}mb4M{0~V+zTbHEJkH8G59)osm)4@at;~d4WD~S0Rjc%I|KlFfpkj
z%17@9KwK~=-wfXYv(4yvB!zAc?8y23j~O*>Pp)D&Mkr!SE-9&NDzU*Z)2R8B41m1Z
z@nkxqs;woOwp+^>h^D93qM5sfIf<<1$c@$m_l8J1iKqP-Q+wP7G8BC>P1~bXBr+}r
z>)m!yTAFuo^E;$lm?^+tbj@--*$G!=$phr;@?><bjCp;`49}{%WXgBVz8oMV{BT4*
z<b)bes5Gp~Kzho?{$*Bnm#4rW+#9(z#^=v(7DvT61iH-*vM*0!L<m7?zJntdO)a1r
z>5wUBz>MHFUc|=26*ZuMN$k-g=IpJzMjKSLb_!9m6CVUsA7tqw&i;;+x+LPVx(=a*
zA6hk^HuJQV;wnt}&ZZtVp+Vl!mDNRU8qsQ;$MTfz3GaRVcD0<!6h=<Pl(Bp=zt5$n
zekl>hdm5gM9Uyyp{?`cCHm{I(g9ifU96Tk?|2V0m6=14jZWeK@>n49d+&YjCP){Pf
zMd;r!rQT}l6H&{TvioxgXY<Uei5ZMkl*=Z#3YizE<j;XUedS{R8=eGCjPa)^#h}K9
z70MVwRDkx7@(g8u{x8x=_KzRoHnH}Fd{$4d4<SVGn%rJXg$MryDGsD;r8*PPEg^jV
z{?>mmN|eP}%T{(YWutN(;^=dey(%Iiwy$Q1f7T{VC9LN=Y~MP5{mZ1#b%VppcXvA6
zEI&8Yd}gG+p;&iA-phBnOQ#mn+D23dgmyLBX`CXZk@b>XUzT3sGHgGmV=a~+hp>v#
z*36o&n?@O85bQ7WTn$GM4B%l%pFjicU}IC1`QwKUc>9)XxyRhx93E)U{@j>@erQL0
zCWJn4IP982u0t~wA+J2-bIt-fto9+8Z(x%H%u6IGgT6p}gK`xwCG!!T4?xZ^#p8|{
zWTKmjNCGwo>z9X%Mq%K?lqkYFt3valBG<Ct54{Oex28`Ni3Pzg6Xf9FVA<)gPJQS<
zy^$u%4TX<9B~%WE?V-0FHRhL_ZP+%6TrA&vG@NQ=W0e(o)aP5aahaQ!u4pA`=Cn*+
zn+lD$VD`}0IO<ltd_^l$g0+~(r<lS`B0f5u_uOqax$3x-iZq0W0-8k9+ii>YZxbok
z+X~kq;`7Rt(=u>XLKoCfawh{AH>YA$9)zE{>$zMRN*j)1?|N#N5|(m(-Ds?>hDT!9
z{Tj3uzSI=ieCbpd$9&9RXY}lGSgvLX>8M~09A`OJ*?vlz;$^4qC|Yi_djzdl&AGQk
zTr{7GYJ{`qd+Pg$_Up1=Im@;A_KRCC3j2v{JFm(rBvomiz1s_x?e%MJ?GSU1bKiY;
z^_wko_;G(^X6)t->8y&iDtI>mB!_D3hN@hY^=R#6ZuUh>{m~=Vew23B+*!iKuYQAD
z_?<3h&IzrONAqrT9?f&tHVrxOUH&^=RD!|_Q@U)Wq7|F4&(0Y&7Q)T-Gtp0chkmSs
z5YQd-Xiyp{L_A%M#SvF(Wz1nI>Zn^P9c4UwuWM3#*0|fZG4zX;SES0k#_H4TcNm_e
zLuDLs$+_`7+OJ1<In$}s4zS)usGw{6GYT5A+ImUh>0Oql*%f^wChy<N*q2wuH6}@f
z%Z*k0)FzfrCQq=biCIlur|27ez6sx%fe@yq8|-29&E(JI9d0!r5i9=OFqr*yocF$6
z;592@_2<<GvTo`9FvOjuB=!?+MT+;?t$lWtLdr|JQ`tUs{er_CX?$_vZ5dS}v6+w9
z^D1<5eY3;Hep2wgsv4}xq-^5>!eR+$KACH-WgGp^ZDIQgg}GZ#)#Qx5A5~FQGYj{8
zEVYH!Cdc)Z{pE6w_ldVj>VguvEKePn3Mzs+ec29YUaakX7Z&NdYw<=x@MuS`11~-?
zkbpYcLQa0@&2`G5y8dx|bVfbjH|~q*$Bgc@Jy-8EYSGcOF)-lzi2sxY%^~FRx%NA%
z$eka{yCcz!|EuBgmB8kY+P7^Z@6VNIvWX0Q4%oD)n7v$d(z5d}j^s&khvNKArXg)6
z$tHOm8QzxnQK>fNZ|Y>Sgo?-0Y4Pi;is42k%ZK?k1MXSWt{g;W3D}ayN1N&zDO#cD
zZl_w}?Gpi9_+r*{Bf?k7JMN)7*VXO80i+@MsP8Gd@8v{~m#4rl4U~+{o3XiZ3|fY;
znD1*$O%{|uZivXu_L)cpW}oEMzk>@mteak>c;S*jXSQ=xPCCA0VpFsAPBDjAl84l{
z>WAZgPfm^9zcdmg{-fh5hs@UpzYfReZ!mWD>@kmdy2=7Ap3_{kyUVGpM{7Y3iL7VR
z4un*0CTBgdeZ4Iu4DL`2p*l-sl??>Vzyf7ns9fLRJy&alYk}zTgp8kflV?}B#Y11m
z+e@__9A7Zb)v9#Qk`r_>89bU%6Pvk|oa5)(shihV(Ktr+R9fG5Cc%76M#Z_&>CUD5
z!l4}_)9Z69s#<x!n3_h+M`j#i3BPE1@iBIk8>^K?M<<5eD?IWyXekKyOSd2N_590L
zO0ENVBGs2VUaQ;lGJgNrPYyigURw8l9(X(Kcb>AGf%6LsIrbt|$^<*%RVvF)mUnZf
zJ(+=^+)GlN>B%(xM;*R27V3wjMjreW<RP_Hj`2n7CADgHl!@gP=Wk?qP+k$pqZN{b
zSAFJOQTD<*%RVoxF+bNuO|sf!s=fn3k*C70vvi2YGjy}$>#=ed4rvZ4zUUV@StMxr
zGcu?XdthV3Bjdv#EvbJjgd8P7tw66ZEC2JX39ylZ>)LrS;rR@<r=^HaXv0omw;plB
zJ9Ng&6Zmd*o7<}-*w$ExhfJBIE}2a8mK7*98=7w1s;+sT^r(-~E4-5gO@}-qK$+V0
zX4Ekzs`rJ3EzVIl{CFp#`BA&n_EoRV@?`GlChqs*R+*y9I=SZ8)X5mCznFXo<?d0e
zY_%G1TD>tCHDI!_msGa7#O6bWp)ADBwLgfr|A}6N$NX87%2}59vqQci@*jfq7oT|U
zq2R+HLWi_e-w<!o$b(;PDlal`=;CE{(0$l_vK^K%+JaqClDwu74bkm_wd&I9dj3@2
z#W~z9!e>C3j!2Q{_oQ%$B~AHhG!uv<ev|7_ru}lHxIpH#*s!W0E>7{b@E~KpK+`<O
zd$(;ha{2@%Pp+QY7-UT4K8n|ITE#8XAxfC9@R!c<eDS|eZjEltHewWBRCt!@&}3t0
ze@+|9NP!2~?EP-@ZKjWAVzXTq3VC9fWMyoZ?ck@9(tDCr*>95Pcv5&{fl9YHzeZuc
zbDgu3r`Je8e@C#{ShIzFW>3a=jmfU8BfaUP7kgmTirZv*Gg~}xnMrH3E9Ec4=a$(K
zA15Aahq_k$I`kfUtT=H}P^Ox1%kHXdt~U-;9gXt6r(&OkM`^K;PsaI0T)djQ<d;tJ
zlchAZjTX|4IECy-#QF~!mS3xE7S^!~akzQ6a)^QAX(x$9;*^0`z#t|WNb#|)d4iUK
z9Sj}wZk@LCe-*P)`SOmvG2v@v?h>>EELk*QxhqFnJ?Gu0$+PAZIs)ZevXd<}q`V?4
znbwa{zjBFjcj^J=eu52ar0bAlbXCSfm8#|}eLnAcQIn3`_U2xTzSNx2^A6<SJPsAw
z*~V{mOZCH<LV8%N*}Ls_-f{cD47B8xXKbmaxJR(^wF%*c!G-&`ZK)ix1D?*$sE=;T
zV(vL%l3i~iSVEO}-!y)%JZ(fuJ1IL!V>VjrmCsmeiHxcJuWm0{QlU1Eu=`sTJsO8e
zttHv+mD!4u`fj(<+N@(OGAN>X-K<v9?SSX&k)byTW2y{o3)QVPU!CIf;kBNVo_-z@
zH=ihB%2z_w^Z9sp+rfLkZcnx*`Fz?UL7#N7J?QV!luWnsE#pO^_=x;2<SQEVW$|2i
z<-n`$Zl_kC%j?}eA=cO%HyR-Msi&;z=*aV$+rw3#Y-Cm$nz*CGhs)n}ceXWfKTn;~
zGGlw;dH__!AF%y?vJ<a;;48~Kmc4uP$ErSk>!h!qT(T1v{Me9F)or8|Qa$<5sw|6A
zA?}QAZjx@&>eH;Q+uiZ0<Em1f=PBh$&cq`KB-Ui&2jO+UfSwv9MVDnu>zV34AXVE~
zjb3tSY*wA{PiHot89Dl<CjkGD^F3MAgjHm9>IvEEfd!G&We@G?exq$dN<j0IsW6I$
z>|Bb2mDT&_eb|B`=1=4nUv(@9$ylP_mgn61v>33p<}!0nYF^%o^0;64w?r-Hezk}F
z?@xWR{*dpgpGmz`lXPX}*U%33mM0c1+CfqWyB6gq-ZrHT_<0fBOUCI9tYmvWS{!e6
z%CKQ{Oe&sHN)gNJa{kQwQ-4&vUjBtkhN5(NRgAvMk<gCo#cgFP8}{31bbUQ=&27`C
zv%Q`U<ij`m6611@EsLEY$rMT1jZ)X4q$&clNnXS=no>&<`17miublZrm9e*_Ka30c
zlA>QFZsQ-$>6DQ8_P%Fmp_gQdRhGNo#c3l=j-~%7#kbduNv7eBMJv*UuSkoDIW^wd
z2UpkCd`M$l_|@+&f4WG<9$%ap;H>Lr1|bE;;BJ;<tPUFKcShFfC$+LEbFbcOG#xv@
z&fY#qS_m9(^gtLqvkXa%vxZsU+ClyaspepJpcw1Ce@BQ7f1#RcZnbNEMlHdXQl7-?
zeLDDbq-C&XTBJ!thTJ978J;Dxsa0-EJKLyUJHDN^sj3S4^KG}*VF^&Bbnfr}ajoaa
z@Q(<i9%HJEb$P{;)_rBBX1x9f`I$aPpQ9yMC8E15VxFZowVupNyqCSrxT0fNJtJ7{
z*T?ZTQdEy~VCkHP?zFmFOK!26rRl}>N!Lv1W+!u<-wT`kd^{=M=`ChLBkG63n{iLF
zZ{hVo#X^n}eA`VAP&{@i4)3(OmY*9we1TM}U1uG5H@Wq;fP$uK$4Q@%zx8<}hKuqo
zr?V?l<4T9=G8B`Nw~tMS`g{k^q#5@ql&U^4?5e3*yK#xWF|$-<@6Yx<iydn$c`@<$
zRwUR)b-OjFyu$Kh7ki%69cNQ!voZT{CZW%=IG~m9x<=#q7GIHNX$FOq10`xwjlm=h
z*`}C@yaJZ^i>NL4QoqDq1qJq2BuUj|Pll+}b3Ue|?IzQqHa7!0veZZ&LB=;aIN4i-
z9D~(*?Ut{P9xB9jWzm55DyrrQ={zY=kVaR(+mwmzhe%=j9V^=Qlg!DM`*|eN(u_hQ
zk~&}7|1=a<Cy&y#XB=NAL)_~VWCUl{w!5=^cvs-h$eTl-o5gr68}n&jNqe=QR7tr|
zxXE;Oa*<7P)%ip4wKWvNVdTLX+jh?JZ@YEX2uf8STfD3E9U-a=;eE=p7HPWn`g=mU
zHz?X?F3Qdc?t0JL=9cWJ<?675RFlwX*K2t0Ykj~7-g~+CJM75>ZdtQTa;DJaeQD}_
zbu%^a<%*@kpzVh`|2DM(u?e0+OU3rG_Q7cGtVh*)b-Aab`lBk0<;I@K;%*gDVe8iZ
zt07Ea;Hu3QTIGYn+M|?ru?~FuI)a}#JnF#T=?!ow59&0ImN2yrmCQ9WpzSzSv*%U0
zINQZ(;&>usI*s-F#pkF*`9Pu+DLXbn_f_RMMb_X0&(qQO8_jFQel0X{jV_dtnu|3h
z?tX3J;=A6`=0x6}ox>U*{9Ru2;t6uCMt^fo8pp?``VvjC&L-QxDg_c75wTH!K9v$F
z9^5^zT&XcfpK%~Roaepx>qjORt?hL`-JyCe7#irC6!djMwky=uFK%|o|63?`eRjXw
z6z7Cf4(poBzzJ`HwmxsdQnk1H2a`Q3*L4eKH$2Wm^ge?mKf}ZEJx2?Bt#WV<xv?*~
zI7hxmNt^XbyYu*nZ{cxfU6<QegO468Yn9Y^z66F<dlx{iaa}%r!FL+(BgFU2>WCWs
za{8pv^m(ahDD&s6MT#41cb}Rw4AMQv?n>O$bYT`+$6&HYwJEQCPVeOH|BJFW52vzy
z+lH5nMVTsPwp2<*gUBpVN>L~k7Ttx)JT5b#43VKw87m@XD3y6`5TQuOtR$J1dFI=%
z?%(r#&%1r!`)=F2w)>B6X-(I8o#%1v$3Ez7<ZK?x5%kYcwb695QB`-L0Cq-EM9@MN
z?u9%U5}r=HbVB0Fhi5cvnnVnn&F7mZ?Q%KNhZiObyH#_&%A`l$ni$QXC9oYmukSDO
z(O%2!*umi=?TKE;MUM9xdQqF4M=XD8NmR5&<d3`O)YIbENAVj_Vi>>MKl~=Y-ta-w
ziHKJF4M+FLj_>Tea62_%>#Xh7vjzIg3z|aYYr^T|{EyN6VDs8C;3(b`YQuZft=arT
zK-&#PBjuSl$@_w<^rqV0Pu7iHwWW`~MKiRf+r&JcpSv~c^m(;c_!39Lo;uw9I>z!v
zXs^qNRnQMJ>csBv`#1g>KDoE@(zt@p;en2X>{Yp9q;`IMllOe2M)=#k>wfJkYP~vl
z`g}q2d{67h&U$(4VL3n1|5QoKoJ*q-3%jTiXB?x`T2+@SDzft(1zfgKV)SDBLa5AF
zr~h7OVhUZx(NHMbLRtShC4JOi;K%cQ`u@~*C7N`DWW_`Vd#pRTc%OKUa?|7vei=*T
zmCiiQSb6*4ET>=}A;0)L#vby~EO5T?q(Sne{A9x$bDKMg_hL_E8vDyAMbzlHwl{}2
zD{5=4EDS7VEn3(=DzV<D9AiCY%$g?daBQ@eE0{*2tqgUzdT=`}E7PdopImJ)c*w}Q
zVI#vKM%ne})F1jJ@$bA)O}5YEulAic;yE?9qj00z*~>Gmg5CB(RcAQPCo!sBf8^WC
zb4X1#c-6+^nmdXk-{gCFd$fxXVU9oV-Tyh|G1(*fY3|sSTUoB&>qx@5PTfKN<MKRj
z=%>tzpHPDaB!pF6C5`8lcb2#xb<_7{{aTnXSf7z^Fzd~!b?Wfbv%$3OrO(2hQwv$w
z&bTr!#Tj#uROIk9r{cp;Ua4p89Jl_XTkp)cKPoYIqe4f$)QIj}$6%0}-j@`U2Gi@U
zL+AcD|6KT{&}>cXO-u+GFI2eZCC9yLdqu#_x0AR>f{D$niYt7s$8+s4xq0=_<KQGF
zg^mBbd)Dq1$z><@d`MhrDK?cXTjRyWCq#>wOX$4d&(q_%`|lB>;(yqO#})*67&$-~
zRfJfEty>90LCD*ntUR8}Dokd`S`?iBEfE;=w5X&@B~wF8rfw{Om0?RI^VN|8VfAl6
z+c)3#2s`{OrTt5Ukk7jw-BJOQ*B2lf2m*CfLPVr|#X_7VzW>nUb=ER@%P$tn+)^&A
zB5|_NC5*z~4rJ`?wqbx}P+kH0!lYye3=okj0}*V7;~=TRkW`r-vQzV8Lo2;tuhplW
zEnDq_O^zA5Rk7(kHGZGLC|MIP7$R3RDflblmy5Yt=i^kRX$7*;WS^n{hjzNx*(m1w
z4sY&DS1B1CN=vbbpRAiM`Z6vecxlwF&?KZyIj`f?iN!PDUObQ^F|1y-xE6tu1OXzq
z4U&w5nB)4Dn@Gn(IZ+I84rWa@A0xM7gmXNXQ#emmdO1!ZwbA6&!$+<KiJK{Vin&iu
z`vfSMx&#S)KVRuGv$iuQM8$6Ssf6gK!mz}|?wWz#&6Kz-ZJ|6d){pu7^KSH!JQ@zx
zANslD_51u~k+~Og-q!w{L*LKDeehn>y*gnXNo^m)EFaXZ<=0-nx!Pz3O+1nZ0ug_N
zNgm;rjW~F~<v@(LcN`(HNX#6peZ%sEdSpwbdoQJCYX1vOp`{Vs&F8Cw9ZQ~2%NO~>
zcl65oj(#ycnMc>&$UGArI5Qk`dUs62X+vjDuW;FbSBC!Ve4YO|cm#f@OBYcLr6<iY
z&@Iaqb`UO9Twg>H_uL@Q&CT5iVj;+>aJeOy9p1tr=~MXYg!14|@|m$y&J47#q-N#d
zWa<csax*ME<;SX~h=kmOaouW;*WF^tVSCye3lnueXbSxb9caZ)Q1)zl3SSZ#>{XfA
zS~bW1c<Q*b)9=sM17UdrF><;}4M|mEs={>U%I-YQ%M)U^&pPg)O*rnTrM<e<CLvm!
zb6KL~ftyN${HTj|YR$Q3BSqb;7vqHs7N1|SzSq+>J}z@|gO}97)|h6|wx+?Bn72F4
zFURhCc``KM?IySTYl}baV0SNNB&qy<xXRlIB79CTRHUri@8v$b+W4e>uS|y{w~Y<x
zFhFVBC1G1@C2e37Z|v9V^X0SH)%@YJog04)I0V0X>s=IGxUylBcA|rKsS@X+#ni+D
z-;mV$kINg~#=nT@tg8{EeGV{q^RhX5Vfwgi$|KF|W49<2b^|91sTsFVvhq~B5rH6M
z|K?53d*ow=gGanu3TBjcto^l^+xLYM=6K*&TybXIa#ypOOv!<nOYO14L475~Bh0pm
zVGG6|LK7EltimZ?F|)<%7hGj_1laM<3GlfIaVfvIUKy^OyY$tiGxN}|xS}+6j{;GR
zyKi<lp4ZyB(sJx=q;!_@To}{xMc=)#3)_zim6qgs#2S0^P?RaLwZFzI`k6f*iu{QE
z`RkC*E$4@G>z-$2iID>;Iep#f{5Lbq4#Ijb2+r!|uU8Z<N%2DIHSFwu@?_{j5H4t<
zJT-G+8WS;0i^_G&^g$vYq83-HQwu6RANRd67(VL7;(1B+XBE5e=mqkO5XaavyTs%y
znYFdrWGc@<{@J37u_N8uaru9~{f;v$Eq>FU+g#FE^Lgy|a)7IWVSVrSfo0K+9V^+h
zYIX!GRq4~<+$?+4$mo<^ZX(-e@6$ty!5+N6-U97n_20XfPv3G(2wN&@YjQ7=^!wo5
zzVmuwSK2I(*cDZoz>en9w_U?*ZFJL_Lh7lrU0%1@BMs(fRI-m7m(*VUz4fYNLDRJ}
zRzB>0iH_d}HULs%!iR^$U*Ps_M`rg2g@(R9x9dSwc+&a^jm;ecxA)Z1oLBZ0?aXTK
zQ99Pyzhmz-bLE2R%3(Eb-cqOHz1H{7t2wTO@0y+ZFD^i3!au3*$y<bCw0UfT1}T*N
zc}C>TN(Czy$;&6ktGO2UD0;FK`FR?}P<~3@7Tx-@X8*UzkksLwwWACJPm%)n)b*G2
zW|XX>G>t~doiBbHz)MPEVxcv^d;dOCvw4T$#?iG**S!@$aRx);Pl+c4D{jR~N`fns
z^RPmMP14yc{Q*DQCz&T%$LJr)cW_ew#GH~+=Unl$SQk+F&kGLtl!Z)WzUdXq_ZHTf
zA6~t3B7Xi|qw)0>p@lzT%9{^NvilaEa}#^yb@UDQmnZTbb=QCP2zY*0Z5Zvx)%vkc
z;rG?7)Oy`LjRlnSy3vnq?TiC47dw_@LQL#SZ&k@`pzawZZ|NBp>#s`-Q{J8tdi`>4
z+dKKZULk>u!~gWR&(`v1dv#2?pX^}%W-)K)^HylWEmE#sc(PRH#5QhDb@hwV5~M_t
zGUJ%=a23LNTPyWW^R1H1%-d__FMpt6qPDtDs}#JWVu}q|w~d`FItB*MmbG=NSI(y`
z?q=|>HM>NoBqw)a_ToL(PG+**cUNtp$77}3LoWvXT}q1M%-mZler49g*4z`Wy-~Jk
z>#NPI;3>S%EdNqW`fr_XUSsuOT6<x%*O<?brQb~*rS(oXUB}q3%eVZN-cc;twJ^b2
z**WqsQKl0Kwqah>1D|A>G^-g8B}-;f4(N3E%d}Y3b<s2{xz6g+&mJ4k(tYYQ^?7Aw
z_0Ax4!Bsv&v4ilhJEA5XoALa4NbX?oyIVtuSv-;!%XlGa$k#l5tKdUZW?&J{d(3Kh
z41dLArav+u=U#TWUEiebhq#YLm21J>l_r;!1XGtS%bh76`+Ps7nJ2hX4`+x*S+BYx
zC=*dQtFMwNRAz=YL!_*b@GMz!y)C3%*9M{z%)b%gy|8|g)Szxs7gNF?Kd;PR&L(+#
z>Y2Gm@R)B+PLN|A=vXgx6|)vcHdr+IM^TRW1w<xlOL-h0{Sz{OPG_A;+>?cRdZOeg
zm5`GwfTB_D)uj*XQYYs3Un=Y<A?$GfwC1G#6Y7`E@#0om&f7ZAe4%b#H+|YA$68v^
zxcrZV7e@OPI6q3ftJ!ox=p2qvol*he*{xpxXyqs#x>hv1X1d{$2dQumL+s?`+iYmL
zIHEbaZT29h6MPU1jA3$lxAubhi*w6US>8}4#h!QqU9EVB%BiP;Cx3Bn&oa@cluMLP
z3aadriz|F`%A4zHNay(TMTv9%{hb<Rhwa04a*-M=cZ)_6Id!06`)rD1p-=F{r+2RR
z&It-DT;wX`le*eK*xVSv@&QBZnW5H3_&vZa3WIHM8ll`46I;mc-AmF)jv6miqx3uB
zSP0K59`j5$VU{eGAD2I(=yBJ`IGZ-I+<s{1yWwC7#vy?lUOI9E9=p@o_w}1d%fGf`
z&n-`2*1AOl)mepMl|mQv{oxT2FK}KFA})wGV0I2-ou`)8x+humc29XEZZV&p64MUf
zF7?o{!L+zr!-dmu&04{cVuu;~4CNeuA>Uue7I(5tr_z;)-cyLzG6&@z<KFJ$uSgWr
z%kIW?0#nXDRo6+9Nf5z+{Gng4AxV+ES#ThJ%=}3K$?N6_{g;%Ow<&5z6F2JLu|F`t
zEO{(ft6*sF>tGqm@qX8ct$mxC*|J>b6dAOoRD+@#GtOF=nr`KUUBc>2%Qefalr#KO
zFyWwazb~U_h%~8Eb2Hc5S6|dEWlv{35USZxD8KgSaHNu#7v6oAUys9s;W52jcD=Y?
z_Fn2St0H>3d~;bf_||(%kT^~!vsu_!Keb(2bFz{|B6FkZrn{LZp;0@~;gsdFqjTl=
z@4+GJzL9&4mh7CRLqk(?`+j9kI0m~MbyJ?3zwUpYQ&3M`;alf9%P=u}j)#k0e$G>J
zDX~dw-?^IYDE>_+tO}%C<?~!(C;j-jE!hX0v+N%X-~T+jyWFTjH)Y{sB-8s;1Jh5J
zB;%WJPxi7F-8gs}XwDVh<MT<XC@M{AG?9l;h>`!<0$Gmp=%ZAIRa>7PN@fvi8F$~V
zYr4H=w4D;+KMJD~H*&9>iplERZQ5SXB_?+dC}npxX8N`5JtV9a4nmd(ydu;lVLRLj
zr-<V+%&KeA!+%w^-KY}9c8qrSI%CeGw>qWnyA{(+9XK;Dx>sg-CO>Bq6P*Yk-TdIk
z_EIdmGQ^QHWua`I=6=E_VUE`cem<p3!!~MPAE~o4%(D2SQ5Js`nI{o%QY@2Y661c8
zih@$<yyC6N>!D*MW*25eCdV7xX~8tgLl&VITee->wLg<<#B>pbSLep5$wc;2^eDVH
z@H7`HDlY$KKCP(`xih`rsPkR1+4c6+TUGZwIvXpTG7~ps{TjV`y+DQ0B<pY=ea#g2
zk(<mMoI|ZY)aDC-$|q)r@RQ1%+DR^Nvg7Xd^_{aejI?$N{ZQ1L&`_vtQM7-gHNnWA
zx+BY><5-asO|G8#O`*J8y<b-3w{tBq4QuH_@!bh(Zzri70zkpxs3Z4YQ}!n7Ri!gI
z`B^xzX5?RX4DKlUEMeLsGxlniU=-ubxWvJ#xF4_Aj>K?nzBGEE*nQsL^W^B7bx}u?
znLqQl)>H-TJ1x|1twNpO1JA0x5Zl7b4a_s-L2TQ$t<$O5h;Y=v9w4wTpt;e!_CZSH
zfTLUooF~aHWl*j;${E2tvYm>NW$8p6K@B0CCBZI)Ma-zzOd;0DC<M*z;DyNlg33rP
zegtu>X5RcV)^T;}V6mB&Sbbja2=utmZXjN>u6OXo9e<^U1XZU}(KafTcYB_u?NGsb
zvSQ0pe?q62(Km-tts`rV3rx(rRh%4;o@EZS)%eQ60U4Y-l;cQpesA^SLIz<X0RI>S
z*T7?bJV1F-L?ai82Nj3m2>|b-{7!^N%@c+{kfg7Sg?YDFz7g)=m14%iQ$1vR)76?M
zzqY+@`8V$m&ox(jx7y)|u=^!zd~9`#&iIP3L!ERZll2->Gn=ISj+vgxI}(Fiy&`=B
zTm>3O1gms~qV02&$~0U^EbQ-Gf2kO)*<bJe(z5j>yg3iX|2-V~!$l51fNRC;3-C0a
zA{;u2AO`(#IORM@nE};-cu#QFle&Kbh7n!fD@*tp@;yJU8~pmTkqB0XlnOo$Twj!z
z$HEXvGeTyfPq?g3;4dtk8^0P|Dsu0M4={)_+H+!_yWV9pCA)i6*Nt6=v-9=hh@7ua
zv0Zs8{dKFLdHU?x36{$)q}tQ<pC&kDVK_9`ue{Pa;K<8%6MN)ZA*FUFm?bRFKvw^I
zs{F#ADST^SEK71KPPbg*ld;A*axrAWmys2=MxQ8rY&SRVzF>P}9%&4(uY4hEWUOj}
zTGuDsUT9FF(;~ixM)#rcc~RX&X8WC-$>rfg!~Uadifie}!3z&u8~TSAzI5kz{%$Z8
z*k5pH(>)m*3gHr7jA+}U$+}l?@pqvrBevFk@3pVnDQ@O_@&pV~R$TEj>5*g82&yID
z*Uc{Z<Fv{-Xq%Lmrfs3cI8T1e%Hu|(n$c(Ox2YXxzN84J-v7W&KYLK6Z-eEIdQrXQ
zjU?6Q*OECMM(Oijwp!x6P`euuu@@4`&oaVLD;CcZ#?9~}_$)(u#YiWpcU?wKE^bx&
zN_)WVoZYi`H?@w1#1t<?eE2wQnEzx3tx5T-BWUNxbaLO`?|+w{B`Y?29?m&iVPPU6
zQMV$0lgo{pl-9*~N&KO{LRuRfBZ#^1l`<c?y?fXAKgM;2A{aEK#idbiM4xSfKRj$I
zRJ+(duVHXGb+7xa8A}?!Hh1X@qY^K*3%h<SD2K*5lDWUSk0&M`U1z-`u7}a0J7HTQ
z_lKROnw&3{<{tQvK~r(jF*N){d1cY86~XlO-8)2zUja*7I@Sszd$>wLxJg+4A`Nwx
zuz$B~)rmNJ{n|wVms61%a#IERgW?ZTCrTK?#@sj)t;I^z3tghl&AiNU9ASOeY^C+I
zEv~mD{#p1+e}BYFoBm@enFICxNnQZSulNq7bcix<<2+@EdAB>P4U_cvj@;(Y_g+~h
zENS-Az|ll1$;Xw&`juDLny%5h%b~*4O~06=npWnQ{&D-hXNjpT{6${O*LVL2(7~a?
zpSiAHb;0|}mZh^-yR=kUbB^T}HkKXxIpOcIuX>cNx-OG;m1Ns){)T&fSxSuu+4D42
z&6p(+a*b(Ur(|~V!j6%v%{XXsK~+VxI~*VoS3pEff|~9i7Z26=0tD@Z;|8K5O=Q@m
z=;#F3b4&MimGvrZ49fq$!jSo$4L4K&yZx?;O-4)6oj1gLG#fIChRFg0vO^D5fSrs>
zjB?q;4!$!@rEUw+wa6=xWZ8d4G*l~f|J-A_6uwm?!2=f4ZO^meK>au|ruXbWHdn52
zC?q|9eqwPA(!eI*ErYu&jPnZ|&)_38jvaymmq=L0!Gr5zVyz#|M`DsB(x;m`!_jq`
zQ)xG6Oq{%^EcNDFKl-+a1Vj7RCh3We=amOuCZsras?2x9GZk2mc^4x(^w@<<5lT4)
z+RXGSEl@Gg4=TVc%O<CFF<<Za@ip#tJr#^I#ppY*=@d^sgXGN&wg#3<b8xxxZ4(p_
zsHGf?PiS`Yr`=eiK-zBTU%#`ZFX3uO%_!w@q5JFmrY@~1E{RN!P~utcw=&6col9K$
za-i~-BL|DgT>R=EWCfq^E`J_)z45jJ>FkHX(ZDutUM}~dqpH-I5X(CucFa5>Pv0ef
zy25CJzlS#N4P?B~{}LKyB6h*lIM_hK3z`AXd0J|uQIX4w)aoKJsL|lD1UaVDuzUS(
zc^+S-l_XW1kPjb^|C8t2zF)z>uj94SXw}N@GBjp^ZnJ5Vw+f?sQvzJeCnW?20Ie~x
zMvZLlTtDNxS!vTm51mg|9{+7sPtq}=)^*EORnj{;7*0MwtUY|BK-s6b^xOa?kX=YA
zj#>tLnoZo?4sBMsLB^?Q2Jl9RP%T)MLNfy<YRxc+m4k3UV66WR{UO5dpw2tFZP~aB
zEJ^@F$JOBd_fy(_q5)x7Y7K3EG+z>Xl2tly$p}Rwrt>gmQRArB(TL)PIb~@jpSOJ6
z;p6gtxTXDN#>SNr1bp-%-9BIBGKRSCGsea%NW&Ndg;{XlWexE5tfbqZ9sw}wfXHB^
zXuGeaZM!po<&>c8?S)(;Bvvh?Dla{S<1oy12yHI(;8wXE(FqA&-DPy0=Yf8B6XtEO
z#)J5p01$IK-7IjtA3OFD#}+=>S#rbRRK4O1Kh*;(g>YOWEYM&ALF_4z`WhPY6ZU&>
zA{YIfxHfIwDuwOarYib0o@oTk7;NPK9<SIfl6WLv^JmrQZ(Yt#{g*p?dUIOyv-a2X
zr6~tV+h*;o$~A4^_(G?$Cdd<@$Do(m(Ao`|mJ-FxO5($GGkE(5_8Gx@%*@P`*hM^k
z3Y2YhnfL>;sUoC^c;7I4G)#@RXi9G))==qUpX5kt_D;m<5E^WJO-023L!rWgWs~3F
zd$@{Uth{+X;~Qap+|~l~G+4T5Ufptqca=iggY@be@%3r-A65nfPkj32eUoQbX-yT4
z%VHE&z{=yvD{6@wWrfb<#Ra~B1A|XRdttk#VfI?mR}%<kK&JABl{&18aPAZCHIKiv
zAj|;@h0EsVaH!O;RtG2wnMRjue>}kBMHDMqsX4$#Vde`7Ij_t+fqLlw;nPiA6#U{0
zd>LS8_omen;b0I1xx<GPL~MljyqE9$*JW@NuK>4XJur}sg_a#okWl5^-9m|Q){ZLj
z6W!A3K7V&h$r8uirDCmTBReVsURvZ%PAZ{jtPd@c*wH^_cT;;HzOwew2lv$FPw&}D
z4{m;74l!YNpM1uAD3tdA`gwS7<h*4sgpHxPnNL_~s3(ZQhVsP@aHRQFayqrq3Botf
z@zHR_bbf`GFxdEl;a&><Yj=q<uhA^FJ-;V#T>9JVt33&-J0GN4WF9Rj3RpL!+v~Zb
zZOeed?*6)e(wnoz_stu1mdygdV93pJ>RvoCN@2XDLML;<>sUe4lI)G{BP3GR_ol%-
z$&@zmW=jt-3hEtFIDCX!aQJf8OU<N@-MYsVgl$5N-X`uVVHq1QOr0F5Q@pHI@SOc?
zyHoo+#T2UZiKO5r$}L)^%OyIG-K9Cp6O>WDGAd?mB+_v_p9<ae-47QW8-=6B80`j@
zmR_#(^m#PjyYMANC0lJ*iZy==*@ILws&vwiC#`=y@vk^KPhDqzeMjf{H$%<@&K)6z
zf*gWxHOFLYr!8k+v)laek20cfV~W5yr0oQs$DjBS3Vpvib@Ssc{Tco+vVux@_THc3
z#%l%XJLpJch+%yy7%mmveB@5F_moL;kWuFrtAr{89W7b}T`Yr^obiX~LLudgeKwLU
zg&c7Wk}Z|vbR<1>kJD6=4@&^fjC79bgyG|y^}|KudD?x{9Y&wu)r{^7o>;DD``{i{
zL@n=|&REcb(Ln317J8qg^oS#!F_R8=zMYFyPG9J#n|<$kyZbc<`cY<ans8aME;aAS
zaTb;tvPV_*DA(#=4w)=MDAfv{*96WRx|u)q8Z5bUnq6p0FL>s)n6k?3A(?RvQ9I6q
z>nG@h7n4@8%g|o!iJj-M)ODSxNO;@yWy{7M(-1G79Tm6y4Vr%^G+JtJ*Ei($2uld2
z^?v>!D4d2y$i?`0E)WAUSZ3Yyp>-RWAC@=uq(}<%e_Xi4KJg}x=cCcl>|6D<+lnU?
zo_)+=6H1%wWJqKQRDQ@Yq%c}Fs=@wd%CS1R#w{yMaF3sWPcMV}8mU}8j?;a=4!Sm5
zT0hM*IWhI@ytspHp$J3NM2MxXU4m>2m5#)6kijKSi^3`2@{}^4KHyT4lvm_y<TV}6
z6K9}RMDG#4{eXF)%c+^m;j-p?jv2WMlFIal|2U2C-4S}mt#Iz2m1&LW2&?g{^5AdK
z30}5e+tfZN+-JTJAw&R`Av^unFiPLocif>-7k@}CDyNe+HFBt$Mqy^L?4a6L`B`=J
zXI^SkjNeM}KRPEM+~6|ur#`ILS5`sxGsgNpKA50&WsB#gM&|V%pqVHiC)t(XOVUcF
zS72=;fBCvHz5PtUjMFbyGVkTOR%ciGe5db69hpfSZ+B9elaDGM|4rh6CjpIbV5$FI
zn4UuAv-HivVUu$NMj^s=PCmY}dUWVU2)Rh?<%hVMdx`Z?E}WE~B|vANi%T5j>eQt=
z(gL(|=(C49;9Pd*jJg^;4N*W3S6p!=onmKjnGKzM_=_@@`B*Rftocp$A4;p}Buljm
zo@f0guQ+;t7Zt6{F<;w$-Z0o%@l*X|UEt+e6w_8u)-HFgQsGXnX9`mX5m4AtxQscX
zaX>1z7LCzy8MSob-Qrc`XFm$LD`bib6>V;HM~vSrfA*)czgTxHO#RknkClVY9Y3z>
zOP@L8ICrF4UA$mDe!xBTS*GZjdj8$6%>(K#`s6P4R<Z3_o{@taqZf0u^*UU1xNcOV
z&l9gH+^6*%X2%&BYhB!hU7(5oGbrj2YVp)FYH2xFxGetB-0<GHh5D=jnN0;H?Opc;
zs0&LHzK7l$7dH-EmLz`vkJlgu_y)bh*>98d(C~_qV{4x{9wxnFrc=tBbSwUteE-X-
zL&L>9PSk}w-BQ|U%aa>-MPZb9>C&ZPx`L~}SC^bTvUN9G2t7MjL}gF*xm{}Oxw$Xx
znLWVyV$w$A&PTnYZ<n5Lo^}=^S8q6|^H05pJ?@_smaye_N7S5VMhoq31yMgS@BU|%
zj+gnH5&837gGnDcN>-{bD*v;0?<~(D`XOg|)(y)mf$HmCFC8BGCg{B~*C)|(<Xei?
zm#GayKaI*S?~Ave`*Fs;I!|Ly)$B9s66Y=C534@*39Pyz#dTWmE^p!jDUE-bx;xNO
zE}oKQUiwg~{C5UVabm}itI&<Alt15J*$!W%0IF^tydz<_QCYM4<OY#t@54nh&zz)V
zLm6kGD)v_LNR%tfSu~`slzg>e=7^}Ah~Pf!?CCvpG4c4A(5u<undGV#`{vSrGB;-m
zd>1p?_ULiKlb9bHy~I8?HZxB1#V!TDd-u`srrad1ayGl{s`D9VC5+N~W?~;DpOs%)
zPFiJnwlDWXuZ>Ts*P-(<1rHUMjjso4>=u1*y4WNmCDna&7emX$Q8dw;Il6n8$ebN3
z;RABpJ1o}CNck$BIUAxMe)B=P;LCt4hg<K1OrmUeY)+8jN_b~8vq`e$Li9&hzlLHh
zNiolH*P~t^(gMPcD;)g9aOnm8sSN{uZHM9u*e4I>(QCfNG!k6q*>>)iYX&Rn;_S88
zewFQ_?9qrbtxfGsw}_i~(77aLdNCiEsowS}U&FbM=9C{~*-G8ZJUxfv(~t0u{l3n5
zf1&u?fp_30hN8c|m@s}>B{GLMlk~9v`)P$!i#y&|Z?D*&xw+GVUP^Jlf;%<6`s4Oe
zKjke<mY*(+MrqgN(1C&^Qs!5$dUk1AFDBY+hGmDvGyk`~wzO3lA>;1$BOx;%1f%UF
zqkGgVe*Q`Ladd-3jQ!KW#P^l^c)7kT?y3;2xvn-VcuFKQMrri)Dw}d=?ZMm}f};3}
zMfa%6?^)i|h|bC&i#f$pDYIo8F9Es9$x<=0b*dj5Qr}Y`=ues%OHciskq}MV-s`*f
z3~lG+?yJ^MyGvBPaaL*ET%)jE#d)o=VPoN&3p=YKy2f%>rWejeFjWaI)%{9|v3sO_
zQO7}G;LN5d##sLdTGFoE+4TD<{0erS{K9+V+!a4fJs3%`Q9va?TfIubU!!VY`uB?L
z`Tn*$GCaJRLqlrQ4}!jT+!*P}dO1SzomT$Lq;T>0{rEcl2Kk0(aSt3`K4^QgD}*!9
z_G8#FBaY1cl-qlr3y@SqKi?2kEmzdj3~Jp_+t|u8^Pw#F1mjoQ+wud~nSads{79iH
zizS+~*34~5-Mk`lL!bAL#^}>;0`t*nKSxL$3V$~9Kr^x$y=}e6+J<HAD?%Lu>z+C>
zoZ&iONEw@~Q@8W}LsO9PZ0t|h<m}Y7oyuXUuN4vUP5I%10mMaJfBpUIdk$??3+^<3
zbb^UKS_Q?4H?E`2D)}`=OC2@zfjmDpgpItM)AM3)Xt3M$O7lFk7P&cshUzpX*?`{u
z{LLELgH5X?bq3Fhi-DfxTk&K<IlUHJt3bi$!>2T~QvtI(7$35VJf8NacKneGN&bD;
z<XZ1x$3x@2#TFkGefp>XgvowArj7{#94b|K13nr)YZTJdf8Omqu)DjDYJ96<gVCBu
zhZG@+I~t5$fNR@-6i<qAic40whn7E-tPs6VuhCEW)I7pJ`uiSUnT1Z!BWXD#BeMF<
zHkKoHuA)7R?}YLa1ugl)HS_Hy^V#P{jTro1XlwJgw9S0?PLMG!M)7uavhdpeqBW0S
zYM-poa0xv3{p0|N)V-6zg?7C<;JIkArdU>PQI@$C4$nY;wo&t>4f(fvbNT}M*qpD`
zeY|GPr@<rb*9Jn|s&#aNt0dD7eQyjI(HOnn`;;ZiWz+O`rWt0s5gWDaf{_baF?&7Z
z7a9Y$4xF`4Tg2TUvsj(TX|kHptJYQd{7Bo*rS9;)%gKbHx;E2V-dCOr&SW>(n4`bH
zG(+zwC%{QKia{pFRaAje7^eNE<OiTTp!r}3+p&9h2Ur>Kr$9sLfi3~@h}aD=wSIbL
z<E=grNIGC?i#D_6^XKsU_hr%2pr@0*_Em#6J6f_Z5-QW#f|MdaSE%semH@-^caU<;
zy7mF&q;`4AAj1<~0(yG1rpRsU7h0M904(zN)Sr3pJ;ows0b-PrwWYRvUZdOZ79ANQ
zIVbBEvD9-vXxVk}ONY0Ypln{>1CDk9lENV?AyP#Htj5*}Dzw1j$ynPE$d)@{9Sc>j
z7-E^0?ycpMK7pLJUPkztqQRvi(Tsc?{kgWbGMr9<6T;wh2{!96tn6Isg&TEp)3uWt
z8jun8!TJlnxB0+@h#$im`el|Og^~~zMGWqoZPA}Wh<@(xV-_z7FG%^ldr$Yu>xeMS
z+KRTki??Fa_&xRg7G>H<uTxpMVoukK{i}=3m~=K<*3F(iU^KF|)-92ZmSOIklrxVO
zgr=v~JDz1GZK(d+;0FpnFBz^LaJ*Tv8A5UALQhN)AoZUbc#F0TMg`wZ_P`+5xWMr$
zkRtdtI4kdh#2iTi0FsDw+1<N0uulLBmvfuE0s{xwI?+d$LCy!HK>yUKJ&;fnmbfN+
zY?%`k-JOBHL0Je#VECQM+&}TJWAq%f%mHipoFP2Kzp5!5$JYweM6-SO(PB*inIj5-
zbC5p6Og$CufN*rRz`vgv$kExrFq=&l^g;i`EMLi7xaW37;mQ_V%#A(t_B#$ZcE?od
z&c(L})2_L+m$gux@s$VOx}{qnB68!OT|Nh!UAy;c3zEXz-OTw8C-&eyOv5S_aUzn4
zX9Qj!?bQn`J@5+PIVQi0aP@>LorjHv=p^_cu(=n*6E}jD5Zd?OS8?RWE&Vqmpe|nR
z6+F5#y*d%|29Iy_gKyvg0mUeM?%1dvaQ=Xf5>{rwjNdBN!%qR7t|t-_;Am=yG~(uG
zUCleaA@2Pf=@H!-v|U^r;@Z==QI@+_mbz9J`;{N8qn%?G{K>)Au$*c!wo|xxK~l=0
z*{ImOzR7+1Yp1vHpPt7<n(t4VwiJwR`DkR2z@4l#4K$ejy(t}ORZ4z}>QBvHb%{;7
z9i_hCElKL&9c2~zZV?srJM+%iZD8v_7(1vT2qgb&=LJgH)<<yRiiwV%Z;XVoCmBSm
zUPTrNpEvEh%)$wv_-Ol)XH7()5!nqrx{>lL%u9o~#kjrzEBR@3Kk$>;e$LlcHA2R&
z2+H9;efY57qRi7(EVQ1($5$pu)2FqIZST))NUK?69VS1esglXw@HF-Ju!ZL0CmJQl
z-y^Fg;f0REQf@@KwK$0(%7oJA86T!8t7D;GkfN4g@XWE0B=z1xjotHRqO5}%1nk%W
za-D}S1f?Pavd&T(AqMQ5_6UR5wtqh?(cn@1J<$v%&fKT5tlFujW@cPpkh^O2dRf|l
zhW8EUk)YqW+kOhPBd~ysSfF-jT}=(|2jY(>)UcIp9qlH-!NAKWHYSO)(7I!Te+{(j
zhg<h7Un%qY86e!T^O66PMJ+WM&&Mq;HfQ~3xMS)GKHtk`{Y-TiiTCsj+D#gd?@Fe`
zuI4;cR5WT4F9f(+SJ(X0y+dk5%CW`m4dwIoVf?cDwr#uVBq{c&uV(4Og7ns{Hv*y5
z@1P<m`g-8=vxC?bTcR<L<T?%KHqGu##1sv?g=Fb(dj#Ze6WdL|Bl0pbGuVJZ;DLq}
zSp&G2PU2pL8TSG2&L_Qlm;{sUwTI~9_}EodDEiLE^_U6Z?!II9SY@{{PdI3d$EiOX
z(Y1F8x!=p};Lhr!zS*T9S^Ug=i-O9%h)pb~eVKfGSeHy@;rZi?piVsCL><4+G<de0
z$Q#6*J}}TJ!CVrXivxIYxQSs#aFW7z&a@EY^`s<|GM~Zy9S>@M;a+*sykSG>l39t{
zlsJ(lbwqt^XEpY4w_=bl?3ouFO$nkwKkzLWEG)q}WwCT+W~JplNCFt46W+wp2G$WX
zOlMYYa0ypS?!5i<N4fW(fz0}z2T~VJn~%jz4Qc*#$r><f7j{@z&<MUnn&I!l51N;y
zc#Yu>Nv^J~Mc=bQ`Ce3)ywe}YW+Up0-LU8^!J$)CO7_5gdv4bI&(l;42R}$hM@5Bh
z+Uwi&aiH{ZBdj;Uw1H7gcS_6Kg7$JHqx*B%^RXGmX_*7p1(XG5YOUD<>_w?VEg}nR
z(;3js$2SKGrp*nD?6W(4KAWZ9>U^ZcQ_Ys-nt3ZaOT(lWWCa`1NAfEE6IY}2lHM?o
z-pa;nHJKqf?}OyI>~2^M5c>gfwrU61UFygmm){RtK_Z<25@gIcr0!qNtRf7H0ZI~#
zF2KdulMv3U<UakpvgaNs50P6n17XS+BmhUdj}spD@H|xe`JHV5OUQfihY$cPn}+0%
z*v1gHrJ<&k>Ht^{3oc>L#R}l2fQ1=dZBDH{bv<lXU~7{7NXje<hUu++lPa|$^%ggq
z*RAr3?vm9QN11R@C4#Z%5@gp74nbEC`DXb|<`6~?J9qDH8k|B{h;2v0oja9h|1r;L
ztZBs73m=P54-O0>Py=aFfcgmIHyjbIZ^zZXzPhSAO+IiSDo|Wpyj}U(g9p6Qk%<C7
z2BRd63MR2EIKCk7xV}N2bHK3xRmRGo@e2775{a5#mlppLE(>5ct<1kG?s+P;gx>q$
zxV(5%kkMiZmqXzjlVh?ZmR&pU^gMQC=UDwRCkHk%7tWlSf&;R<+)by*+zT03uU?ho
zA<RH{3KDf&u}DjBBoVWNR!hLKO19l9&d$?#Ep;^zV*x;$2iWZ_fCs{D>J5CGIXp#9
z-CHPgm<!{p#%W5Vq>WbZsz>pIt#)ogFzSZH<i)L^O-A@X*Q@A1uv)k4y2Y-<?8wrX
zL5)!hx0wrG{Sw=~lDqdaYC8;_?#2Y@*DHFGQ-vsr^xi_!O}%<FL@O19R|+a4$n}Q_
zFRmpY+>?F%{oG$LQQ_yV)b?E$@c8+2OJJwCUo$SeUSm>uE_Dg_sy*y$Y!c(*49}k@
zMpihd@&p&LlDSWtnLWAN`l~(5@XVRMsa?{mj30A!SB9G0)Zeq)-7U%I;)KYyNac3{
zNz5B1@33YzZgWZ2@4X*KJurQ=T=(*%+C300I-?6}ca%`xZrFzbozH`(u3J1%W*|d+
z0oX45SKB;C5hFk3?0)UqH9NZ(<tE+3PIB?P4c;hV6GrIyIh#eFS%M$)`?E+fMcL}R
zl=WjumJlqLkiknJ$Ozi9ON28gQJrvNlxx@-b-tt1EN2*7AWrhk4{)4{DmIz&4prru
z-}AHNc7e`r&e1(#Ba<SJZ_0M2gk2Kr;v3R+n<?nvE<bC^-aS)?e#$3X?3@`@E`ANx
zGO%;d0Z^IQcfJ1S-I~9d810RJR~pJ&jxTus{ObZj4B+p)i&8WT@1UVc+=_&!JMNop
zkKnF?Ib7XTH}d5{@e`DDyaNBM=UXuMRmA+B_?@j=$9~<v<JCuu9x$v^lY*rwPT(9&
z(;Q$Mg<-e?CxW<c=}$CoWN=|&oB6<?GcLQ&gC%cci~4jh{}1Kzv|T!0GX*g}oSbCF
z?$)&pP7Q0$c_>76<&MbbJ9Qn)O5K02794byzBuc<)?aMk`nb=sWlv#8T^r@xIhQ|Q
zcfkCr^M|7X;<E8+OaILTY>9^R|B;mgsP@P&+lJet5BV|WCwO6B$I!0RZ7>65a9H2p
zzkeUlH?A9wSGdr{xXfI`7y=gvH~&USN?dgGH<-C>JNbZM!Qh|3GgVtt^A5EyEiDau
z%9E6osJnOBc%`r{J;jj#4`yVGtASz;8)HTxt1B!8pZ%!4hX)T8dI${d4hxwS{Ay4r
zB<eomcDIYJf|ToT&=NK#QMaGfT3JJ8eQyE#bM|8nBw@nRpYS@)X*HC2**XA2;g);{
zb8WFV$a26G2#yS`NVH;R+oYlf-lV6NyLAoTjbZN0K%+T|R%GI0GL(C6*U&ZCpA#0n
z-NW#s{erC#Lz7Fmk#HngeNFp<`~`wzG4Uj8VyYU}nD~%FxQoysP2>KD0TW!K@!DhT
z-m{hPcS0zrLb2z`&rkc$pPq#&4=<b}Fz>i)tw9Q8b}6UKE17zYc`c(&2nq``uTl5a
zZWk@EI5?xHJuOz&X89(q!zi;e=Yz=}L`y_^(=9K(2zbX%OI@rh44mv_ZtoY}TZVbH
zT}CmxYxs&yq?icbYHv_TLG6W?{pa>|ix>Z!@~<_x!pddYz@u;OyT1FssbnSrXSPWV
zmbtH?DI}~aQqGN@Won|aA$RI}t&gb`FLD>6thHLO5ySX%7RQM~pB#zCfb-X%(X#x6
zVEEqYdk>T*)yC6T)MsN$26Ww5=(ODr>w3)`qdi$ob5NBh`EckS4u)b_o1?p&xqMv<
zem`5a@o<9JHL9>siuSqIGs!HHg@c8O9`kHJ1PkBvwDOfa!%E)qf+cJKv@V72hgix<
zCS3A9v@H}9_9{!O-d^^0$vnkVeKVvd)Xg^0@sax3HG>fV>OsRJ#uVXn8(g}7Ox=kw
z;);=(5(uXK5qW%e^uX#GjZt59my~OxKf4&{NXIO8afLnS4LYy9`0k9SrvSlBOuE2A
zvyC_DoEAHMY2Gbm`%7Bk!pROHx<KvY{j$*pTlqyj4rNWW439{CPIcYpY9kK%Rh6Ez
zZy%LOU_eA_i_*SRG}r4lpU9y4I0bdj;*l*^MJtc)T4DYK5}{UshhDWMjr_4a(XG(s
zW>?46B#rmc8VZ%SPDw`-NcobpkMCN9pa^PXUs7YCscgCUQAT-x(Om<Tq_pJ4kvmDw
zLHJiD;1V&S*sd$}TBy6bFR6oj#4!42t5C`bDW7$79QQw`LJ6uOc;X*s5#NYm-oBL|
zB+OjL{<yI)y&4^n3V-KRuFP}_LzhHBhVA38ZUh2fv|V8&zPb#Sl{FrwrhUjEhO-gO
zuJ6OK9r-*sNUU040u#aiT7Q2<1pHzwjFTJF-cQJzsj6Z*AKUbCWuWhKyb^=QT7SBy
zB+dLCF%9PfoYl=9vg%ynN!Hspvq7!_-wf%B#;krfJHmSrx@?6AYV`9sFm-OPAYo4D
z+_@_+&LIvHQ%+2JCx&wBy%0$(a%FeYsZsXUnum<BgGQ>l_SCH@TSl~3T&YT)=?}x^
zw-^0=Vm&-@=#fj{n4nxnp)^=sU5(`5Kz>6VotL&fs)Zdm#LK`n;$>q3O8`kQgi#8{
zrZ50H24d#<n#xEQPQif=?O?XFZ)#7^dnDwSJ(&S^`7xiah~kr<O8og%V}IY0@MZre
z5n(H%xA>ed_Q{^fzZmE3Atn3i^4>zBn*)PTP>A&i5h+G^v<#xb4i+l9SjqIP={x9X
z=tTZF%8~coKY<~$Je;txxdMnl|H(bMF+g4$98RNK$*I(LVwMwkd;G#X&1c=Bdxh4i
zxE$6ngG%DK41k`+4a;<t|C0*jh`kTHN!gLJVJCt==tVc>ZxU+xUH3F@iiz{7gGqjB
z-NctA_C}s!)wYeqrKfFPwdnM}(|fozo|M_~IZwE9(q7nan_PV%tB!Rl-;cf90&a1r
zF10ZxIS_Xq0|TA{>`?;IZ_Km1)R~FTYX8CC)JH5tD?pfaL8A9h;%2R)8xUK(?+Nl_
z;Nm9!naUpFGGoM|pH#znkh#>q8OGuQ0#><g;1acKD_}!KOlp5gN0042XdlMMO<qZF
zFOlbTqPllVf1rv5YK&1&8yM8gAN4t&>=obFI2P>9${4#4DG1z-zi{Mq(hk)}g7fbO
z_oiRV4*s}VeQ111a>{W<%Wmty<f#?^2OboLqwb}LlZ%fI7iZb_JIb}*g5+w)GoI@T
z|LcHbxd4(0a&Qpm@(Eb|?B1y9=~=uWQP@F2)l{M=B68hudFy8eOu%Mi^%}jbJR{5Q
z%sYKU=f1ro*d%Dg`<$)&*TY>c2M(0WdsX|Yy=Ufopu5W6`U=CF8}Yr5Q}~^ezX_Jb
zuF+W$6M8|@=hmBbp}S1*vZbY?6_i;ok9C^t$s66bi47t!pmaNTI>{M1zDi!vByl<y
zDvFC&7n?I|PkXsQ(JqW+pDu8#7mU~9+2C}TPJEv?m);m((x^xf^N|_l6N%2O*9^$q
zGgh`EoCA!CiKPw<rL9}KPBV6;S>MioV-zHm!m+rR-mA}$XDb)KF2FC4rYv~qUCG4Q
zYWgaUZFFA1Z@_fQG=PB+iZAm-iHbG9{$=;iu%^Hg&^p)Q0}TwfWdyX@bpi9jVWO-1
z!Y#BEh}b_;yrD-vtxBP5|Kto8SG0iD(%YnpLcB)ZHO5+p#EXRN1-wjMMa|iYyc5&E
z%3m88ts@T<HcSZ|h;d$X%uuRshG}*eL#~hT733v!h_7Wj?BP+=P`layJ<wK#vQ^<*
zPptAlDGwUWAZ)4oS3X?(_IxvEtK}Qqi?3cuH5(BTRFVuZTqtvBl<~Yas+{Dw)2C{t
zb!v~dl0Rvq8BpMGu@kEnk>j&es)6G8<K=y^wV+|vR~KCL%|tQJc^c(YrPCTWAD_>^
zE9{rUxx%7C-|AQs5{`e*UyfIQC+(LfTzOmeAa?_9zU*XhW&#Gk@&b+nFHG$#Qaa!9
zGAFq~DCgbnm2!b=-ydT+)NUkF#j$&O-Sno&Du)d%`qi&^D<4AnKA0tVV>i5Y>(<F_
zjc{#^vKID<MwfGQX?&FHp|PBXp-RcME!!4|rwFT1F4I4IRtW}ZLkD6ncJ|nY@XJP8
zT}8eOY)LBw+5uzrC%9XKGl#4)M3ZO(?!$fw!y3%$h~$vCIR5!*u-@+0O$^=34w~F#
zu#QB|vs(s<qo_y$Xr-+PA6_WY-`j_JkRJy^QD}QK(sw#DiHK!U(M#CfkQRLyfGNSB
z^<G)PGoCPJ7WQ-J6f|`WU#o7(88MfMy^MTvmU$L=$7sms9gm{|f1;fzm^@AL7aHiB
zvGui=BR-J-rfo0ieY)+#MtXRD(Y-x3L~I@;VTr|^U=Qm>ocCfrNfVQH{}Vwu&=4qv
zuaQ4q>!@1h&U17O8^mczIv8=}XZ_ZqetmuQq2nzTpP|dQHQ2x3_<~7n5)%wT8$bn)
zuWQsfZ%LT?D;iw{(PQWya2PkaC$C;P0w+XyPQ+Dnb8&$vd?MuB+LnJ_6it0Iz!{>g
zr6tW9ikjB5=LQc}dGAV8&~L=u5pH3-bKC#fvk4SgCF}M)C>|JpR`YTxjWSdmQ=f1w
z55<TgpkyyT!o3IURKsG)n6wK$U#z2SKj+_tW*N?EpfZgN1|b;yvLxZJkAoT5ZJ|&O
zh&?FJj~AIBNdfj}w*?iCs}b!qI8oY(lx&l7_^}Zt>%cT>O7_VUforcWWMG#i+Affz
zQMfl}8L!~SMDR=EP78?PljM8{ItC?J6qTR-{;O_RY3Z);2z>E%w~p$}Wz@oib^Rtb
z5U;Q#VXDia@Go#|0hkx%zA<83W)Hw*(g~O_8Uez*5|*Sy`n1bfFFf)fAPivJtYd5}
zxloO=8tJC5nyvv-s)lrtAZJBJMj}C_;hz_5e9|CqpO}t1z`Vib6i*hXfYYq4@76w2
zQLmF?_Js^kywuk7@IYFWbn5YXp9iv}v{0R(cyn0x5*$n@1HnuJNPTfYOv2zzNFWot
zpyi%T1iQy$Zk+g1g{0y9i^eXy+2D;OXMQ)>t7t`!sS)k;@m@sEwc-o|jDh@U9M039
z_SaYC?c?nG_3K-6GZI&<0Ei9U(LR3s0vM*?IXV!wp{yG}#mZ=R{(aA+@Ew3_M~rWK
zby5Bs!BrVxLf1+1zfF!%0xavq<Bc{dnfilpQYB1x@qR)C<f8-M*mO}YT==7{xrUWB
zh(K{>goQ;!E)veAKxKtK7QSq{2D{h&oQg}6jhRCBmX<>(qk^uW=y@5NA<IHbBL5Z<
zy8bx=_6#Jcqg(r^W~k<{IJ&?V1@Uid!b|H8xt!Lxgajp^boizbs|u*sZR(o$1LPQL
zsbRf4bVc32e@qPyt*@J|McMU%Hl5vR4qC0SjXv&?px@a2v6tSpGu@53?eL+xX8&3G
znVlU(6qZjJ_p#Anh6UW!K-D?EV9z1%6#)wg;7<rP{or8U1J~Ab?lvxIPyE+>7^uKP
zCi-cPh^A|b4!=S|b|xygMh4=jZS^DRV{33$+{Ptb<~MD^=5g;3ry%(hkk;;)hGBf6
zC*8n#waM>`e)Q-OC~j_wvvBfMaQw}|`J!&3{TA`YhsU$8(r{|RncFZIkj#G|$qoB5
zJ*NJgAxvXKgL_k(L9H#OU~OK2&O+SxvY@o}{F5;452BTaNn0~sWM_4EtQzAZ3IF4o
z@nWZrzYK3^R>{2h-&OJLTd>fl>QQjv3I;O^TcU}q8{pMHjX6t@D2EFp`Y1KQ?HZsP
z%S-3aw<3`49Ag3y^qi2L2D>(rgF{0%wDa-si2eK8B)VS~Zp`6Tx|T;=&_JCzy`>T|
zfD&lJk+DKxgX-&kyf1L*quyMK2n~(txQULIXw*@EVKj%ktZ?{E8=T}{0+B`B&<lFp
zSeFgI5ex^Q^xe=5{4GH34KntgJF@O8fl7^ujHER@>q5c85m9b}_&U9U-K6WBU)_{Y
zv)@SnmH7kL?PG0i?Z=PzmA#i?0*NqLv+_#x$!9NINN*k_()0=x#l-rNW|@%=Zea}{
zZto)LSCB1$CrShW;ZB0{;I56DVS<VYh+6Ji8lj^27I}nHu{zK4+BI=bxNJgM&}n?=
z<Vj3!>Td@zV8Hw*P|Y!!N@Ah^EeRsp^!lKAsNq5M#LKuXO*JbDRLXrc$oPiiJ^t3u
zpO??N&p3z|V(m2p4F_Nd6*JB!D18t;v;5~-R^WC;#bS^p_htUq;Gz<wK9@r1w`(b{
ztlGXMnpv=5Gd$w!<U+hG)7z`42~=zQs7F#8f&67bvOusybLy1_y~?oSu-63r2G#m@
zP><N5fXdSdg8{^b)rhn<#_WsF8<%lh_r-T&TY`r^j#-T15H(rh)C>uNmKuPS+;;n0
zUA14CK#bqfoaco?Vs_Srk?%1)Xl{dbcBWthDM_bxcjS{l#U>$lM*>MC%14b+oLB>n
zOpo`HvHdpU7>6~pBl@Nhcm0eDrnzmpy1FP9)-uuCWHk;zwb6%9iJ;?%*jT=_ZJ@xe
zC^`NPr(`8cTRkY+`Fm;}C?O87@px+IX55`KR3Heg&lfPvW!JN4VmJCtSFzR%JS*7X
z>`L7gEaimONiN>HDgDeyA)fY-8sHp%cQ-L|yq1jFr%hxS+D29Ogxd`wYYc-Hq!TB^
z6G?bD4j@YS_}7FP81~1!ZTrEy#B2!@1g!ATlgEw!CuUZRc$$}4&t=of=>5gO7}%-W
z<tO0zi;g55;xy1;iX9&oq}^7MyLKr!{aMc$Dx}=mn2!Ptsie(bSRGg=NHFpt#Op*D
z@$^gAZU~}L?zBXMb?RVI#7#tfL4ymsa=l_oR`XzM(mWt5;CRK84Vp#nbB=wuju{vb
z<5UBIo04yD3J9z&QQ1a17NPA(C`ycu-nLNvz>mbvaTb{nJ}mliVpr*sLxwcY+p>_z
zr>w0<5I1cl9XohLTHXjlS6HtO4ZH<>G>LRytRsUG4_Q_kuv_FeQ#a-IVUx~mgZU^C
zsE*JQOh&OwIKSSZ`-E_4U7}zN5%_;XsS34?`v;?5L*^lD`H(Q3BynV_RafP9IP)18
z);1B4E03EUydCV8E@5hv9L9*8*$!w}w+aq5M%{;Y1Mvq+oAkeNgj{E45gO^EuK$Tr
z4Yer~d`td5e3+706;<xh^em4ab@K@?pCp`oIP}0(?;#oW(Qzc;_l1WZ;&)~b7yT`V
zS?F;MuO!^{xP5z)w5;N4ymgBNC;o;b6V%dwpY$^clqIV>or;12h~vORYAx2?D>~0^
zI^k0oZ9*7}A68voqu|37xQmk~9L+W!KJzf*Oxir6?(+5Dw@F51h|l-@=-Mwh1IwO)
zkKb?-zsItMkZ1jU{C%Y}4nnVQ+YSBwK?LE-SRCH;_ho%>DU%dgrvLs8oG}DdQo<Yl
z{!Q5ivxm%|x12c2PHNcD51!7=j|B5V56lad(B!*auq796=;j0>p?2_pyqI3MU)6x4
zw3HMa(#1Q%Z4sy0ZF}&pwR+&DnH5TJ1n%=_<`TARmptAr9cZ<b_L#8HK!@334Pj?@
ze7n%z_`80z{d@|T_esZ|960MkZMRW<))br=*!|+%uAk$qYe~t6eb~{Ec7Fbhj;7*z
zhjmzZ*Z4<ftly$*rR4yxueC9ako%9G7>v^rbHA9|mfy^^DVg6tv9<d}tEJ14C#&1T
zHY{&o6@S)rTq04Lq!B<8Qo|N=Me50uC*mC(wT1S5!C$VRgF7y>WxYq}DLnVnYg>wH
z%`i;i<pk&rnVonCfA~+7mfP-t%C0qV(}#NY+3S}tBLmr(4y&sAzRmfx<tmr_qTdF#
ze;WxUrB0LZ$xV!RoBqSKWbzYHQlbp}^3V7i#Np`p3Sz;}f>;(#r_b>Id-0~qwm_Qt
z_rd!&KY{pT5*?P_zmNaFAM)<M@>w`uE46Xp<~jj!7g8JQYKpf0J$b5xJW(Ab+y?Ez
z2>10wy)yctdVhZgbkN+Q((DEA{&D4Jvp4|%v%F(!hx7(Bato-VXpk(WcnOV71*;_X
zhIdO<K*tGz7cvF%`l1c~H3S}o^caB}qcEBuVTL<L2_hjtk+J^r=mz>q-cVFFf+(a>
zLjEw{FU6em*AopVZqxscn{w3lV(I?{GbKSDTkRc87a#~43Ii$+dd6RN&MXaM2(USD
zGBG#rEFF8#huyJ%U1nAmf(r4N@AhN=RTp35P7*2Je8C?Q8QiFxSn;iddXsc&NBm_G
z3ogwL@>WM}gb;hrPhN#H%f9;(Mg@e1yu6Z&n;QridbtwNU=TACWb6RK17syu7(8N7
zfY%`Mld++$+q5SMJr>GatnPLM&K%gb?N^XkLJKfF1akmu0V;|43u;E}eknMn3ItE6
zq0qSiO*cm2Fy_Db;vDFyM7GoO=etrH=MW%8MBI))c&Pq&Ra}%1ZMz#`rGs;n#NmQj
z=YHN$G}krtV4S?g0D|)i26yM#7tx2X3KFdWvTlp;ognWHr7-vZ(jN>rX9=~n{L2IB
zw6EC>e01pc39KB{Hs~<+gVpr)s~$n8;8k>+#AgWn4b2Sh5&Pm<R-`btJJdr)AWIDW
zu|}{AOHhp><(B+C&+c)N*_Ho}yWEDHwrq(J$>K?_X3>sk_<-oV$-Ef$BYZdL3f@0}
znB`Z=+1cTNDDcqZ3>5&0`tLr$jt}9|=sZWfA~1|298?0KiX51_edKY()T^wFjHqTd
zqIUm#(|k@RPQm144?ql{0Y$k~<DGvpb8vH;N8<+Y1bLPjX9v+#E?q@Vh%D#ovjh7P
zarqnJ-fu2sP_inSgfXgcQ$+X1FYg=@2<1eAkIdoM&{O|?fmh-O4mbhjR3iqt8X-@f
z^Ua|w#Ow%l5;T_T3GQDs-^%6k@bDCl7TETz;)HAklIlR?%jmlCLFM8zG0q_eph6si
zS|sAAAR(6NEM9;(X;mBB0m6rkbV|TlNw!meK<wLm@e}-4?YsSxG=BaGXKW3V3&zM_
z2mdE~p`Q|W(9YK?Cg7x>G5Y9Jr@9L|ETxfi9a_B6kbGMgg$NS7$r#?KVbb5u-U7X7
ztSIeCto0wf2gJkDFhPc*s2|oHKDDQ0u}%Gb5bNu|dV_*>EIe=j?^=U_ShNOVVF?gD
z(RwN&mu-de1vM0_AU6*W6&sM5nc4ey?_S)pY0n!Y($!7&e`SZ_mw2eOA(6QY6*ZOw
zp%EhgheA-fT=o8ajddkT3!)b9?d_!$yWxB7aBj0A`dwUZtmzgy05-m2--oBs5%>4^
zgJgq=XSOS(`lFpoDBWbKBXRHkA(A<<2v<f|mWgWEvR7^;_Tg&cRy))K^;6Yon&VEq
z7h&?-w{L&``URTp+(fIIweSC@TljE!A9kb{tpj~mQJ`Y<U{?FU364XEYd}6N3a(2i
z<<P-hW|p%0{&i_rbSGfh*yw0<e2K5odQ=x<%9;aZ9o{Zl03KtHFDqtO7*V9CaEK6=
zjVf0lNJ8@O>-6+L$N-*kWE<RK^ZEjE5FI5V@7y^*+)@8@2pk<_)QgDr=(LnZa-`5f
zTVa^LKg%j1Kbo9$oJsj%DcuG<a}M42i%Hb+?upijM%hE2M;txm<jS?5;pdFD_pmh<
zn-2$OtC%N?KEmb{%Qrgw2WSbAH|q#OSZd)#)@;OgmLeiEd+nw8Y0N9C+pKe1QO><U
zS03Ftn)hR!ah9R6aed|w?fryQmn2-~G9Yk~xW1~7iKL;0>5OO3Vin!rEObKJ+&Vms
zW(OCPO9ld}5@1sCTKy>TR<$GpcI(0mK-UI1&Y=S`ZRG6&M!%d&O>NA#?>kN|fUN!T
zqap?a?b^@$|5?61d-mFN!gL}R?kqD#$Wa)3%gy9h?wO^P$_J7hCwK+H&7ww+{?CQI
z-O&pf-@wxFUL5<N)3AU)3Az4^z}a;-D#|X^8#?hYrTOg!n@6&|m!4tYI~~%10T|0p
z-zn#RN#{2KjAj03;-S(Or<K}pl9ma82HSUA_C<Odcf=R~0t>u?aEydH0U7Id3*-ah
zc0feB1!Tx-5Q<fYYC@4JOh#Rlc3SjJ3TTk+y?@jk{~d0l=s$ykf67fdO$mfN?B3XH
zBL_p37KU;#?!6ZX!W=S;56wg?Onue0JV+vd<i$mgZ*$6UQj?I#EGYPHjcMG86Q3|K
zL-2rMeN^ZFyQi`UA%Yr=jbEW`V84L-`2r<Ef|ez~BOoZscoCd8IiykBgYEsV`rjBL
zINiw|mlr}=jKW-&7hP|?tH_i_4}epZ_Wx9N=5aaZ>mR>ccpg#8R^!m7n9(u_NlZx`
zp(bM}Z9@}6#!^!$<&jVmgOe$3wu!PmbxahcO=5`1#8`{cqKQl;YtQd}m-G7lUgtG)
zeslVVS5NnIZ{P2=d_JG+y5xnE)rj>#wa*y?xZiK06b?XZ2^#{BZvM$9XVA3R+1Y`h
z>aK4of@fmDSaY8LA<L;T0g1ueQs-dd5ajF`wJ4%O{YD;;BD2T;wtYHfyblREUmm;P
z#Ws(8knG%F@0t9r;X4NZz+<zrc7G%F5ObQ3yarTOmNy2(#mA2rK3px(wa2MtzP{;4
zj~W_6-010L1o#)zeBlOGE8cWLKi!RL`n!>$3HtV<k{~7p;gyQGoJZ{}7oCEBde>)y
z(cz%7CEBYUR;c#8cIMdN=+P7SaR0h4&waFJ+3MWN<uutbIta53zJ7hY8XphXLJgSE
z`TLR9Ng;Pd{!ccE>_V`uE%tdX9&I2V-C3O36(~xT{!b|WFB>hWQ)k4V^3#<JbpQ9i
z_+`|bv*KO+K5zTjk=?MDCZ%=VUt_CMT%i1wo7)>YMlb}ajYMC5^eFrdnf?`ORjqxm
z?<d48nu|In7mXXE#IQTe-ebDhXvPaOJ*mX(!_`$su9JOgZXRBju$0LC?boQ$?)ZHs
z60{aefgThuvkT}@5D|2lF*k!uT^DBGBP)ePMYjwZFxS;}0{Jy?wDm8mxVVT<hTTgI
z=r3Mos#>c+!88u|S%IRH8D{{GpV2wYZ@eDE#9#mZgs7Dj8-~2IJ!EpwdMah9v2PB1
zOPfHF*cGF6%9gZ>Y8D(bc#7GAlSWon3yQME*TIjLN!i6hX2>+W@2C>#-L({qp44b1
zH83&3YrZ$pLJ-0<`I7cmSOwP;x6pdePM&aM;i$}-G{>a4UAq>IPhxh=!ArT_Unodh
z1%{bcv6DNRVV`|YwLO09{mqXLzEPmeh;ASzxX~DJ|0S|Pq=e!W=0(@t`*a_xZ&ap|
z=Q6#fy?twU<{sUE1g&=HE#hB8rj-&-F8?^`!xJyG_m$Zohha*hQ(7*7Ue5O8gY`ZT
zn=b$<zMTv#C;sS{6tC}RJq2|;FLl^KxR1hb*W^5Xy4-N)j2Ww&ZOV1Fmm-0OC!9OC
zCcKDf7YhC7u-x;HAh6P@#qwzyHV;hh{3B-)y`deqeSW&ray3JYgadOu#XRqo)=h@+
zgou?^CWY3|EDuyJzp%r#1w*j*_2!;*fAWxJ-)jaTV2L=*nw7--$R_z8aFud#{Fd9P
z%VDA9Vf5B2I8gZc{9~2NPmO$_)<U*;(XwDm_1|av`;Gsb@_{Xxii?7J(GFK<kTbFR
z*K}9qW>_RskDL}}$U8bXyuMe}Sz33fzNECY->$T;ZvD2;Yy7y$-4De!YO_O+e<uoW
zo0*=&@7Y*ctwUZQPpSVXt{#$?6`i3SMstj&FD_hpHybTb{ne!U{4oBen;<;-u)hZc
z@yby;zxE&GY=xF-_$DyqH7Q2@emM@1$z5mMHhG}g^8H(_n@#PcI5ghLBi+G9^6b>)
z&wUWlULIf6Uz`XtXU?v9GgYNgqk4(`8bDL!?!jR}ENS;u=jOS(UaAPiaX<L9f;ip~
z#VqP1$V7QAa{WtQITypl0)WPQ*%@zNf~A#~lvHOIDDV+49F}k9kv1AmoH%&HVz-TY
zqtzcxpUBfRah2g-UcId#nY`FZ^FQw?7mkj>G>wULkRiZ7a><KUjzEWEwqkm2>5?UC
zx^W2!%NW(Nq!l?R8I(s5D}7tkV9RgTL&W#U6gxC3eVM#8F4$-K=}*$lFhR0~QboO&
z->r!mjVV!#AP;S8m|{;>34tqjK@BxRtNph-7OLt!g;$E^2P=Hzp6E$hRy41<x$biE
zRyQ@>(Acf2CT0VBwC`v)oTYwQ<KsQXQ4Tr_UK%!ROZc>Ss_J5g1CFU*j5HfIZPut$
zWBr#e9G#>QbHMua8AXhw)Y;<RegEf)`^u>v2y4#Y5c;AfJU{dqHozl&yW~|sNEP68
z!QqZ9kXV}^W@1tp^FHzYFK59)#g3KQ+RW*8Oqn=t*gTFYe0}$lahpQqn#h>c48H6p
zF}2M_Q7hdpD_XwBb!wZsW&&uk5yJ>02(5UREL5_!m_cSw@&0u)#W-yG-C)@&=ecwJ
zZ@6S0uClxHD<LZk0IUl0(_En?!ET8g%h4Af+>ycAWo5oKO5x087fGZI?@uVH^fYzL
zN;iHgKIFs8YC7;R1lZyT2l{+<Ig+Su079!P&C%}~U?<pjITo2T>jeiCR{prq&8xzg
z0l}9nMTA0=HXQt8`2T)OVQ96I@22l;<T=TUy^`rYTJql=|KTdS+~^;k)OKW}vQT~5
zWKUdtKrcaX*|SQ_)&A`!{`_!RM`8AHVo@w#sDq2vIpWIX<YXXSV^66<ER=_(Gl*oG
zR#H+@fR#rapVN@w%gY}bC?okH>^F$ykDt`m8hL6c<oWse2M^lCT(FB-TuN8ASaT)s
zCmt0MX!F-M08(t#F!r3$20uMjN*LpyUA&k~#3N+&)p7C{(VGUv#0-jY0x;|RE^5$~
zZG=li{Ubbkl#DQWe@4CfyH_Y(p#vXj79-6Qn_i?|*?78ct6umXi=|G|M`(d)z_F&{
ziLLujI6TUCwrYyS{WO#r?x|7u`rT5kzxKvf)XGeb<mJ5sO)!XL!YpoRgr`Q<IHucM
zF+Ws#0Q`f-QnStu@m<0Cr_<07y9O9!c%fKxN%i_JaMixhSR51Zr>{)r%7aC_L?a5O
z1nYuve}!O5ex@!F6}Z=97ZLRaG**#lh%&CbD>8;Mql^Buto$+aE$kg7Q!K3fmHyc}
zAY^|uE|+FCM@uc@J9WTqzGp`u`8q{TN2JWI!ich~Xo_*4kj_2dD=JANqRzig*?UBx
zienpR-oVK?(~t?PA)@bq(wM&(ot~QN135smrw-4c2klh*)Ya9|3FtWN0u5;xFv?Jy
zdBm+29ya#&lA?i+%6gPsGj6l(??`Z39NDY!1>9Ls;{|$Qy~S)u*seT5cuGw>FRzE>
zl9W);1}JY$O(~NdQ!kio@om)4F-$%q`*mH^(Cd$ZN*LStk=>p#i)X&EaCRH{L*k@$
zYo&{TOri%$PVCi)D7zVC+hkOzV)l$2?O1xc)ZqU5)~od^2cz4SK0<*{QomIBhbesm
zG=28wtGJC&()C>fy(X^bN}hV_cu($p`)xtHV#>~SZ!~;URD<_lNU`!C9(kRdq}0XW
zFfDTph~y&0ZqBMBH|aF!Uz!vq$#PPjbp0_pXgleVUoPxROo)x`Z<h`M?CYr6cc^MY
z+H=`02bsjp<IN_gl`EU4WgoUNf_7e#H9TtThs&-Vx3=)mq>lUkX-+B2Ct1K-YYm(J
zE-fVheQ(#<Xl>XkpLU!HLdTA+a8>b`A(>LwXubd2e$^XiS;2CU;@2dw{1j(n8M!_>
z(%IeJ-OY`mwB@BqPRSE?=?)k$VC;{xeXsoQ&FAa}iL=}=g6+--H6GXmv~=iM2d{cV
zZ;q)_Lfo8ZXPXi?==;Y0>nMz$nYp!fD6pSFB)l2J$1KZkS5}7M>kJ|xyN%`#$qJb$
z9rJmW(ur81uTL?7;=Y-Oz|knJO9_AZIk+F%T}UjdmSAWS12$ei+SvUV?G|iTq)Au5
z<~H^QKaOt8p=WB?s`W@~Zd%YG_@)Ts2EXU!=He(QA4CQLoI$nId>5Dc+FDV=UGUk!
zzH+;X(!}zF-cc!`)f<P4H9-W`*OL79FnQHx)y+S380V)VMrqLZ{cNeZeqg>xU&y36
zlD}rx|Fd0oI|Va3f?_<xBK23FGlmY{+Qei9oM7~Tp2E&W*a(lf#Kc4(%Hyv8^d@PY
zx~0$0*RDA!B#Vg39pZZm9s|E{pgMPr4z1(ha$@DmLQY7p7Qy}qwTKx7ogvaiyp#kh
zZ%<Fp^En_2Y;%e~%E}HX3H0o-O~q8~4S9NGw(gqyIcvZW6m+_>T3dUG905xvs?`%r
z85?n#?_9mW3n!d9OAzGCb-g9F$1*YM6lDhBr!gqvyC7*0yVymyE7}IU5tIJO1?*hS
zV%`aH{w+i$q_TZ<Ck4X}Vsq4EK)lZQ{QM7tsapc@BM|5yKnU$Wb#LgaD)<hsDpc8-
z$sWf|h^i5F3m{m2#1c~aEG7O_4^H)3q@go1K34=&hYG?gPIG4aQ@M#!znoH3PyByo
zI2MMl4+ByYS5e&%ZDGGL9?!^+P21S^keyDTC!)N>EoAbYlr?g>%!X7PZa$rv*+QSO
zhRS2NNyQ}Ug9G4U=^--&!89USPU8hC4E(MDBm`zzh2jKb3TNP65FRFdg!BgV@iDCj
z<+XafgzJ91S%<qP7teY#XEmbHPOzoW_NPDW-Oy4b;W>@x+Hn<@E6af-iePEQTNGRG
zO#W$MQH1rgoUidBs96#)dXA1)f!a#HADZ;=4V6g+l(LBAFu#VIi8uGW`<so1P(5>P
zU(Of;Ds^)cqml~@&ZQBEiM+1kL(#avY*y`jI8{nPuBegSL9?p2fVX2)JF@VMfzKaK
zj;wYH7WNP9SFJQdEc~1}vI;bjzDiA-d)JlktEx?5ZJi@Ktalu5^b*?h8kIkJCz#Uq
ze*SCT(V<7z)(NutV9@%b-*!9)l2$j^rf1W6uy@ZsI@e*e4>!N#DHN<8V`D??xLFhK
z<}NIHZ|ziz4OmBBWm2GrAfxHI%FaD3l2l22@E4x3dfxH*I-Pc)FN(9{BAq=wA7s@i
z3t5^<y0Q`~1k)tkks|9b%hU1Ry1>A|*la$v<MBr?lh*U5`OJV}fgVo?@%s6nSGP=+
zu(RH#jf?-4*%0%zxZN@;nJaee=4IZSrVZfz8xOGDZw@l*-E1IlifwF`RitVb!!e89
zMSE+H%`?V4a0NzYu9^CigBuQPrHXDxX%gY63#`1oc<dZ8BFj1Im^?u&MFtRR#>FF<
z`kfwXl)dDgJh_(qghdN;K{BP_r27IA3?ehp8?-mww(J}|Ihbr+)P1#0u(S-KIexDJ
z62YT~cq1=Kc){K%h*-)R4o7=5xGp32*;$aTSCn4Q$UI$2zpFGb)EC9CS;u3yaa$h~
z>zb7ikQkX#aY)C>FuXcy#M|tf54*M~q6fhOS&Cl;>}l4Z1thNyw~1hccfHxFe<@V{
n4^bw)O2HETD8Bxy2Pq_d-0M%;ZR?Fq6a<H9PWE!Ug%SS)N8ChF
diff --git a/public/latent-spaces_files/figure-html/unnamed-chunk-3-1.png b/public/latent-spaces_files/figure-html/unnamed-chunk-3-1.png
index ccc56ffae3e9d519904c6045dd7cf655d3699797..4bca6c4685d50840c36e1b5d8badd4ae973fb931 100644
GIT binary patch
literal 87096
zcmc$`WmHsc7&bbD0-`dCq@<LRN=YN5A|ar3cPOB=bSNk&sR&3bh?IbUNH-E942^Vm
z4IM+Ad-VOjbIw|4o$vhm&R*+X@3@)0_p_hpe(t!g>z>ySl<%E8Lwg2+K%A48yQ7Lg
zoVtZT5Y!Ok!x>M)J7MrY5_>rvCj^2%5ceNm_{_Qm0>OlkzayjWmashH?nd4_N`#4I
zSL*-F^ZomSXvzwEnU4w=Wbi({n0)c#h2JkuM;+c5`ZDjmDIV%l=tSkzaoInV87TdF
z*Fp>VK!NnqlWRO3JW7RvE!Zagxkh>Z*x390vC~-h157~6^lv+MrJ=P10jo>G@u4sn
z+~Ma-`nK%fM+Cy243FX8=Ub<d<9Po*nj`*qoxH{7g2!LzG^ZTd!s<ft_vssbX^Jrc
z0fd>^hzOdOZI+Q`r$ra~a^jWKBg=3TjX=2T6<KR|c$D>MAezs5jJtat@6RQB@94l4
zxFaGhB_&0t&{E#ulpi;9%_b!+EiDBF+kdw&xOCwHvkM8r@umFo->)MO|2tmyMf;z8
zvvSuppTj+eOwzYE>15&Im>Yy{|BZp>fxH2H^y7A!?_d@cEj6t4P^H3IQ7t}hEp7#w
z)W4E9z?~qZI{S&}-&GNKTQvj-!l10ItmWn9siyF;N>8oq-e>b2Ci5MiVt5VWZrT|x
z_2s~)U&kBI35Z6kys@d_Qg6b;$G(}=4-{Ith#5FKI*wI&d+x3(5#OK<jlXFp<vjnu
z!NI}Vc?-TOX5Eu9KmRB_^ik2^xy!<b8?AgA8XB)(zn1jaq870?*4F+o^-Lv6q7-h>
z8p9V86LatGT{bp0c#Vlzt0ejR_djc1<>vm~(jw}8;Qa7m=SaEh?c2963t9IR+4NHx
zx-m;gB(%Pr(2E+d9nCju`gA++>1f4c{@9BbFAf&lN!yRt9BeNQ<q1Dq{$u2O<T6^}
zo+$46g-TOP%Wmk$%HI0a%a<=L3q{%4*_oM{d3bVM*G5}fT88^43{O|OZZGv4Rr?%e
zs-<&saxV7e48b$u39@(ZI*8tZIb<Rw#vl;S$J-Od$=UB;<>Wj=LL#rEq>-skbe>Mc
z=g<u<b}NdEiMjb?P|&}&<D(2gYNy-L!S?UpzY7Wqe2xw(_h;ivOG{xwbaQs#He=qq
zBT-yh(R@a^>YOy8`en}7#Kng!3x%Exs%Q6(mN=Nf)f~zR+6CtF=H{%Gx=)_0c&=5t
z!m6X>oSmJ!zbIvAXK!w9=INJSq@WNou0dEA3EA|~NqK4KX!hsm6@z8Z%*<%z8CE*Z
z{DPN}I^Hu|#fvi2h>D7e<WOmEYhw#w<=}v27%6d>8nUY%srEe?E_Gt`m}ibwn%_Qf
zm};cBbSWSpK+yKjgVfIVF)>Ev&sK`Zd~A9$E>N_Wer5R>a{1=d-yd$=&g<u3W7FY|
z9xApw!H%6&IWKf^BzsNnod!qYcb^$&d@pv#e5*4uG9Gt-*_>^&>G+7pJUv?J=``2g
z*4{qb+n%M7UFNzb1$GZ+6yNp(o(_xfbhu>wR}`0Qs>8})QD$alKt!_d@&1VGSX)~g
zZoFzLl0P4r!{5lH4>96v6}Pw1bF;I`@xr)q>Xkaqe3p-#?~Ufs16%*p+}wO~%&QPA
zP`&+YPL8C{VTm`l?{a=q65O*dN3UDvdr6517uQlxrW)=s0VL!itF%p7lzfH>@$q^v
zlci2`KOS|yK&EsrNbQaLn>B^C#R^!Bl(~?QkmL&I!^?mx?&;~d8%)_5In>+Nmn7nl
z@^qwZxc|a~#*LX)ahF9wlez$S3aS}KeBG)&0XBoUw?Ej}tuOZHBoKbfGqbZvqE51z
z>Rk(oNY!-ZMEA|vyLawjth2z3)V|#RbR`${$!)t=>$2b@W8rv}1d$tNjb}M4$x#e$
z<Ik;<++QI#royGggmGp8fAMhkh6&FMsDSqd$D&Fa{N_y+c2ykJ{QYsa$JV?|pi`7W
zZ;swgEW>OQgC{o+Pg~Vx(QDTp?<@}}q&c1(A5jLsoXT~`<dl{^!LC(v1l*71fBB{@
zAYy)gexW;^gOybsHrYs7lm+>zQ>OwVk|aF`Rh05nGsRq2hYKteSC@#dvM@879BeJ9
zdvF9uY&5f|KXpC$KW(FVv?Y>*gc(*bwOjmdYNzv3U#ON^rRVOC@Ly+MzBm){Wbpgr
zzOS)Iaq5GI@M?6I-47PhX|&Q^m;dC;_@AZ>o`DtXd6$qt7yR>GT--r3OL$4nFVp-4
z33o?W9K~pEof7+r7pF-11q8sUY<qZ{m@qdPOsP^(xW)@ViAzd)T5b90(L5<%#Vuk{
zhe^U#_IK~z5i^hZo_K3$L~+0iOqI?hsbwDXXYumzgqFDdTd?Z^42WAhJ|{=6C}I|4
zwbk-9DMO_Jl@!@eVlD<eH>uBtg?7+y3%*2kf*C@v0jH^|m}^ijOZ<4GtZ3++4|b&(
zOlq{urFEeYw&hd3aYKsMx1S9SwY4ARYwH_m9RC(TKhR3rT^l>8C1SLNT@T~cEwZ+#
zmWpv9eBYVzkfkxsWwD2uca#ZiDB>C}Pz-c0Z3iIJyGsXD(2Xyr4qy(ElOmU-Sy=;+
zrbW8+mp>6Xit~O}NMpRtp6{xzp|QO)WT&O6`D~$U<|UP(oV<MJBSCe0@BNt=Sk}8_
zpOOV1cdZN+uNaAg@t&s_!(?TZmBk&>c++H%_B;`euQj$8axzR5bJ5JzFNFY<kdQ#m
zq5R-zS~uqh_*K5@Lw*fm+;}JU8uKe;a1K=s=THmoy}Ze}eWRnZC+63$U-~?so!GZ;
zrFZAwblJm9z?s>$cyydlaOYavyl1sH_SwUSZ;vj@&I!b1WypE0jY>8NWiCxqoH>Q9
zT%r|xglQLF1Jh*V<6Da{@_}V+fVu6<HPBO26R_^N8n)zScp4r}$ohAVQeUae&CQ8R
zMa9I-Z8|oGUcO03rCQ$u4(<L?3@xM2`sCf6FBw`zkGo&J9nCYUZWl4hf85QE&Q1wq
z6{<*{fM^pC@#@@V$5O6%)lA#Y6xj1TaIzSj0Gnd87c8x_pKE!THl%TgTYj~y&)|J`
zG4*8RC~*HxB@gt|yXi$88+NysM=RqyvEGvnuj}eiX{z!nd}F0fR%xp4M+YuDk0(&K
zZ<8>mrKN?;fcfmmYQQvK37DRnOP2KP^JyC#9JH(2e}(MIH@jCg<c+B%B4O_B?d6V1
z73f=+rGaN75x9KKJP+ImtYNV>w}4gqX8|uAoq?}9h1S;AUPj@{>3ZLc@gyar`1ts^
zxPp;g*;;vfdv4Yy{-@7@Z*)gBAMS6GF-XW6Wf|z{dBU#iPFGPoN&BLDa*SPba&(-h
z==-YUG+u+pITWm?QE1u5;Jx*5WA4eH1*-OB>FUp)Svfhgd{2(K<F&yjgM(O3kIBo-
z94K*MVP<7xdr7<1Zb47h3ZwPA^^$oDLap(y_tzlQHn+B3mT<GTw$4&W`_<Y?N=C-W
zZ{A$yvg9Q(?9mW(VPIeY;-sRIk`QfZPsSQ0k8TK!K%-9)xWr*_cFk{DHs{bM^QqzQ
zA|oMQ+Kp9#x!wzBP}+V20i&Kwa;pPe7`R~_h~On9CE&gn7Z)e$1J{O%!yP)yuWBg8
z@>^_7w?OPZ*=v%f6}F|Op>dyTJQvw=iGe}Nrtd4HpwUYDl^!mw(L9V^7(9)v&PO;e
zb@udabMxuy<88jxB{%KAmd6Q}=XWb2BI28MFD?^<eFF9d8B<6|2s|@c+%*i796Wj(
zLgmRD3a-99qmx#?YS^G`930ZedsDC+roYR-sAgKW#r3A%3x^!(1h%fbyE|+&i1+kj
z&L8cJ@*Z5J<ktQM0o0#}jFO6K$+-+R(k?8%Vhk^KXJu1XLpKNZdfFKHpIUz+yU_|A
zef@-phz`j5Ao&x1)Zyn%o>#e}3vYx@mNwGY_nP@dk)|5^{{8!;q~k6{J~noCN28{C
zepoQ32iI(c<9mdf<%^$=cx*3j*OBtc84x2799&wt;Qm{K`KtENzQ^4}@s~yH$6*xG
z2lFh}^X17HbQS{fqL0z{@P@^&_Zr!nY3b>T2Bdz!$7x}j{4B0hgR8ki{CMa`PEQd$
z3E`KHvt)dk$B!2vj+^;f6+uXAOOh=A{{1_|#-5NzxNkApl$>TjFd-ofdu_CEz&j`^
zC@9FuW#r~oJzI(UY5F=WEa`^X=~bHZ@a=!Q17F6=>u|i*KU1&PsLWYDQ(f5h59U)K
zgU3Qz%ylzS_}(q!TYf|cV#2p?-?GStP~R{O_-<hf6E}#Tuz`CI1Y)mF2wd9VgWnH9
z_U{uD0nX3;e>+(cN@v%fYas51`3MyY?r2tZcQ5T>Lo`$1OW4hU+i+b?`0r1MTlTd`
z4<8iDzTxjz5x4N?pU>sk^yk92qRY-KENpvZ_bL#-e)C54>Lt|}7A^M37F%J+_T&wM
zLTJvu8XVL`$w6kRoKIp2HJ>btRD05O+EB~FSmZ?phFsN&{_I<n!D(N<oMyCAdBA9e
zlGBEu^eCfera7wDx_4=NPsB6j$B#ba>qr#1sQS9P<>WH(eT%)>Y+0nYMlmd}iy`l-
z!qkzfYB5)CY&dcXL6$+~yH5J0f9c%m+u+AO^WJHMnj}M7!_3TV-74Dnw7*Px_r%ol
zYuJQwakQu)&1{YAUfk#{3rkZ{uJH0IXR0e01nWP<4M<&G{mz{L+<<<XUgP4bZyF$H
zkIXD6c!#`r;X>_vb~74%&yNUsI=%S+wO+jy-5>mP=m!tv-wSFqG&B&pob`Pm8_BCW
zSe*PB40TL?e*WXfk8z$xS$W4X?ca<eCL=8T(lgXKn=*A0l=~bH_twGjYja0qFqnph
zhOVwI*nhLr)Ay65j-C@SVC3`vyN=<lgWp<DX7_YU<Vdb2Y`v%`i+t@Q_t{v8olvGM
zY#%^rz#!^q4pAjrGw03g*XuHWcL3ZViTKcF9JZRZa6GOCgTS^(`5vs&u3}x*(XqfV
z4~n$%o>RCA5RMX#DF!!QZpv23Hg6H*(xw%=r(abwlVEE=dJUsHOE0EghL4+|poL8x
zx_<TWgsENy1fnLnMWhCoOGC}}{ktGH_g5GktQk~C@e129l4b6jUkvj&0=_>TiCf?J
z@nq;C3bxtmNV!(JGJSH?xxbG`F!_ZL9KxOl$Eze+<+9WV-nRN^XNX3?l9iRUW9bql
z<wcY_XVei&0cLl><$pj6HRu-pn*K~RD=4MNr1p$WO;co3uU)$)3JEJb3(A5UkX(NK
z%3a1-m6i1dd6Ay}iL_4=totW*P9Dl&<#eav1{LX}t%IdJao+H-u)d{jxZr|kviUNM
zQ8k9ib1&@T-M`zbnL(;OCFASY_hp0wTwGj{WrRlEj)sxgyb!R$#YJnAZNw=?tB2rE
z;P}J$NouO7sOX{wA(L6bSq#|A&dHOGkF_6V{B?iWib6nu7;-!CyySWVd5;=<<ZEOd
zwU&xncCV0-kZfw_&?$m{Gvg)~jW?P}#NfsxDS7leRsa(H6oLxf9QIt5wTJ6TadAn^
z+}zxvq5}@@ckjMLeR{wdmD0<j2f4V1U+M%&e4AzA01AbF;)5JDE7E-;e3=<0w87!)
zIeYWMfv=ieu$^m)Q?6oi=A(!FZ`0pK1))CGtWl|Gb5nXHNY-xT$a!C$`h!o56v0bE
zc0u+6X~88bs&2)U)Kn5?vBY-E!W%xa)Mrm~zEEAd{@uFQx+#o4tW|)Y|H_pslarHo
zcnw}bM9vgofz7eE&-KAD4-($Ju#Gz!8Wcidve~_5v`-11(wse=s2mtx$dQ$uop~dr
zv$L~j!3<erE3Boi4uQ|O6~o?cQ+5<3<DEdl3}$@c!iA(>iVAK@MI9X)oJ)$m-y=jk
zF){J*;lmvj2zcQi$%$`8_=)i;CJv>F-MR{318YD}Ute@|G`}V<Cua(S$jamYa1RU@
z9>w_P#s)F-4te{{r^6!r{O^#Ckl8i<qT<#6sM&Z4QVrZOelkrpz9Rl-#h}t-8@6RY
z#MYLx$0yay<(^D(X7k<EksZG8+T0L4SpuN8{aHTq-~I}c@xeQ84808b5W1!1)7p*H
z?gglu1fcH9?v4BKK@M$vkLJ3uA7n3WZE$lTAsYiFrM4zUUwv(D$Rq}e?Tkov{&P=$
z9Q#UpuzI}uCAZG`0YJkUmG$Mzt3?A91%)_KCw4Q<{m-92zb5Cfw6Fm8v;+ZbeSIBL
zL)p}aIhrbv`m(dj#*O@YCB*n`A3P~2;~-0l;WOgBdKHRqaPYLDU*sd%>BXNd1FYlb
zRx+hn22n8~;jmZB$e_$Qv!p~jyH^ToG``BMi(m5ov)0lGBfs#FkY#w!WGQdA$}Gq>
zpcY+MmB&3T=|Ok`3t(jkCW4J}2)=(0CSqLO|MzG{;7k1b<ad_o|JRclpLzcd#O=Db
zRPf9I67_w{SGIlK2SWU~`26$#iI@GKcpEP4|2-n`{ud`}o=oGu__@JHPb7|ZH-G>^
z?D7A2%NnG|=vU3`pQdjiP7l}$FFyZi`ta(dE=m@o9+L*w_Z;(fcfEuqO^S3$U<cH~
zE`}4Cr0e(a&y$9IHtzX^i*!9ru}IUx0qVfF9&e8GNf5(;V44*UK-Q_F6WjB0?=3{!
zOvMOEuY0dk3JO#gFPf8q6PtGygOioUSP`4j9NCkC@e(QKhJvTOt%XtEjZROm$xTdg
zpYg9XzD~Uy1K|~!V2qC>#7km)iMl{ZNl8x5;=<h3z2MvvZjhrH%qw0SBAeP`-t|aO
zmFkL_N9CxkFgXhRN0dSuE-JT}XJuyA!dOrH*FF-wh=K}Oo%7IxBIC!8A7y2_shyBI
zcWU_1c``3ZOE)YQHH-;xf7P^scx!HMj!QL)ngQ(t&m9o)?b|mD#vYrVQSF7%yL=0A
z__7wNu7+?&6!DRk&!b0Ik0+@@6q3OG5FTk&DWsvSFNTOQ;{48icJggRHM>N*YUYbY
zK2P%E-uX4Iuq7uuB;7-43Jp$*uy@8=#QPBu$VQXTK1NeF&-)?v%&1@?YgnYJ$ml%9
zPx~{QPkE-;LQZ>l?yn*H5sEbWz&CV}2FAF=9u6j>e@h)f6Futb+zw^t^}~q&X*oFf
z6;83p-mKDgTE;{8?f%;a%?S2N_{(3z!VvEoFBE%MR8^2AjLq6RHxnTCr1c5@XCnEZ
zDY2K`W-wSsAdU(CV()%L)%3XU;E~;)|G#HBHTOC^;SWh*ZMXp{6E@iC--49)3JPb@
zejle=lkB(32oQeSI2hyaaqD!)-{(D7$$Dz<Tn&E<`WujI*6h)hCCzk@t`oiLz`cr}
z;uo})2_3vi^1ls2e1<v)X2F#jg&Qyf$+EWGnt|~aYN%T0dHy{FLgv&zs$key9{b$;
zG!ddE@81*<vNt^nHFQNFbZ-CMX~cqHiGS17Q;?FJ{d*Nt$D?9Cwtx>_{8fpHc~Y+i
z2oOQ2XuPV=pQizklJ-451OOL8Hzc8e19Sk`X_f3PEG8D0k4sDn3JVi|M817{!(sBy
zT0bcakN=g)9Bg<FaQdXAq!8C^3I{SyvU;s64U++xj)^I@LIVaj3*J@)j7b&Xx9gN*
zytw(b8-M#88?tN3T)_-0=XU~rF)t_Q90|z+K&OD812#iJPoLAj1h`!Ovz0+We_xVP
z@#_8H78HEHo~4{9rj#V1^X|oeYbC)^jbLPCJQ=V`{@K*jt$2ln1tKiuSmI`lArNJg
zeGW1qnYgG4#)mtY%8;3)<2;<4zoaU=A;UB^H6><-lu?TB%)c+xlu!2)tVMTo4LLbE
zai}Ee>*~@{QuYCg508fYODXM4%?PYNF(O4pclC#i{t}qPv5Jo*CO1Law<;wCG7Z25
z8`lRQX)}Ui9WYwRHpRRTwgA!Pf86!Ct4npPAACJxe6ELOZoJVBDIsh(`t`xpOJ{!W
ztPG{)-u;O9b87tRt+J0c*4BUs$rCRO7TG{<dZY$O6%8zqKbh2r4<9l*A3??##vobt
zWatMDNKO>L$;H+BSlY|b(9qKI%akJ|IoGKHk+1m9!f%?dok0W`S(oM&8_M9H)<u)z
zzsR?WQ<T%y{<%)g?5OdnWts!Mhk5<|Jw0-IA&iqQV=-A-oMXNT1l#R`b+VKXsz2P3
zU@yQb-5bGVl$FskTGeKZaR(q%JGJ%nY);-Qr?Whh7WP*%G#rJXPQnat?LPjT=rb>o
zIXe=+;-{%jg`0zki3wy0$Lry~*OS_so4=jdL0x|O9BmI2yAT!uGp7@Co`21eWN%xT
zm9+@aWLRrzYHE&V_JA#AzE5d=Cx$NU(^YC;I`A}_mrhktBu-MCViSF3`m*;|_2_Ap
za_>yJbJ$DU-M1PLeBF$El)-F|Zhr}aq>g^}TF)+lx8A%lj%%=Lr$fmpD4fBUz_4Kv
zc15~{1qJO%l9w-E76(KFV07L*4;Xz{cQ-mg)M>HjTKeDJ)NrL6$)$~0&YR-Bu6$p_
z0IZ=xX%sI>VGVXd@axw)fCZUhB+3Cyfy=&>l>AvJgcXu>o{yN?kn%pbbLUP^j-HnB
zPrT15DK8e8fi*eb$U~~Bre=1X8f+F<)j5kLc0OVafHKI~QUMnwl+$rRYpdBkR5n#J
zJB_!g8nfaV8XBs>8C7?)*ityA7iENPwKjD@0(YSm?cKI2a=cz|bJJqCI1;KmK0c~L
zhgDV2x2@KqS$+7lF{F_#fQ#HEejOAP6cX~?H>;u|0r_HV5P{#kXJ(eK4M;EGQW;yL
zfRGyUk&%!v=LW7`jZ(<bT-v&3?L%DEd-^&Z5<P)<gFp5rss6^LQ|D9XyqwNfekakX
z!0wRuI8?}u)*tcb#q#9otY;i;?-ZwSSLqQJj)^xWo!$u}aEsEn`UGeiqt705;wa91
zi(gh$NTB3Us25aO;3JKOvJF^qNfDA5GQ!PaCp4fqfq{WHA9qa`^&6IZ?H6Q6wf_1A
zD37!oW*qnjo1(#vj*ftU0A7Q#irrDqo?8T-KmozdQjy%gv^@q85!do}yRp&7*kCHY
z_U7gcqv|T%oW4hb0Fcv&I!*($Of5kA2VjC>$PMEKA77-TjDG)qYciM*hzL|iEuxyG
zmBG!ruM9w!&L<wl1GdU&%>Om#<)Z{YBK3Uh{3YL#m~!c!@ypKP9++i*LVrM9Hi73$
zIq?KG;U6>Ou)Wv|&dK7dK7i!!-<$KtE>n#H<_ct6Q#d2~*RMeUlvu(gu9SRei@zBT
zz})d2zX97Sw{@thsrmta^v3SYCHs!9YXA$9EaGrQ(rFrs#p>gOB>**NH__6J0JMyo
z)~Gb|)i|lF1w_C+!)3EA9LcsLWkN2o`O4|7EiD7zO#FMTmG0kfI14B%o>|_rhk3s;
zRkiTyGVitDh;O@-f(<RD9}oR-28ofvE*C->!NJZRMkDYA>>AKg+=P|6WVe{p-Y~rb
zbtuh1t!e&;`(MBZ>_VChm^-{_p>7V)8#u(NrR5qA&&o*oE_n9&*JTV|nA)ZOJVr?m
z=Re;}0wSPZ{RpVHvkf?kozOfO?smUXI`7^}S6ZtRTCyK3vTy(hC2aD^;T%)~&K^9N
zFnV!-oRH+?n?Rg`za2E^Ujfex<co0plZ*>=GvNCFY5@Ryg)Du4XzZAM$AlpHosl0d
z{Dn&&%Mk-T=02C`N~h&E`I=+C+e|oqr4AQ+^qB%Odaa`rG}P2?d*=aB*Onj}xh@J3
zXdr*h=iVzKM2m~?$rTq8rVc2L*Q!sBS?+~3G&QLy8hUT{!V*>io2!}a(v$HJP|%%C
zTG=~y4(Fs#+z;2AXjUq)tK~Q{6JS2Kwb4p2+qG^L>9pv;moL*ke?A0wvd4F7YD!I2
zH9-@I$SB|A&1B(t9&T>i`d8-&PM`he`)qZ%6e^VS=gzr!;b3(jAU_$DKkL*wqw?Xp
z$?We~FgO9)Pyq4@8I2H*tknn=f!O;Y>ztSTYi~&_D=5IKHO#ceke)dMu>yRJY$}8)
zd2nW)JIgc-46F4X@UDJs5!=Ej^?(Q6Q73s;*F33b%kdFLu(yCvN$D21sPV%KJWsC+
zIIfILEe>8xPJ?uUu3J0}nBr8~P$=#PPL9S-cnr$kuT^*h*q?%G3uN?ZmRozTnWHP}
zZ31X7Tvz{L&ZaSh2Eb2X(tx6r&f~8kYvHRYw&`C5l69uU5t3V|p@0pW>U{^mB4?OZ
zbt*YzU;(%=sjC||wLwD8{?)KD4q0H<bUxi-FcU&IkKT{30CxZd2i)D1p)AnBklGM4
z1BVSj@a!=PB?rbrZ<j+)OMCFgEF27b1&C9Kl#y8H7t@gGz#LrtP=5YSAnC|+(zEZ#
z)L|F6mQ?`m3dYR^(2CP+$W-C}{yx~UG{7tXK|y^_-$YDBNx5+bGlx#@UvLhH0Kq|~
z`r$@gw&-StI>emptSnPAGxs7ApT8L%{yDJ;Jba4XX)lTIp;}xQsKx~Fmpz;Eh1}_{
zj6E9seyvpvSbwl^Q*QL{-(Fy^35I_Zv%h|w){q5KZu_G}YjlMn7_(k+ZuiVqQT<NL
zWq&$cCF#fg2}_SaG*HmcEG%YbWL!nbxwsS^)xqvOS~5Dh5&(hL3N~Q4)WIWIFDOGY
z7iM-=N5p}iM+N;fozRd4WMZ2M(!x0g<k@gCHykvJ^y?rY8-Fu&dG<Nl_-a*k=hAj=
zQc8+A#nj_MD>QpRPqx+?xBx&I%qs%&`CVy4UwPa*_nGKhAP(Z)s87Sv(~SC-D1_YZ
z6EA&zBPgW+y$6MMP!Msk%@s63$HwO7KysE*wN&Lafbf9S2Si+8krnykifRTY8W1H@
zyt9;7eZ~e4pBh(MG>6a;p{H!|OZZiVhK{R~``e$D#c7MQcLl1G)h=Kr>ebW5>OuFS
zpr{Ch=}>Vx6-YJWJ;nur{)Oag&RJCQ*NCN)&qZ9s2Czje@hLh<67VXoxqSZ`$}28l
z1&Gl}j)%#d^(t@hP(dEkbcE^%`}dKNo3L#~d2w7x2GNdd`WL<r=(aW&uNGhgl#``a
zoVm6-JhWJ*H8?fE&`6l?-n|PpKCLTBNR-eHcg@}5x*rh1VQWod6Jc;R+MrgZu6O<j
z?X7?BR?PsCm>RrMl$Id`DLF`<=3g55?9apr*$^`WsJDYx1>_U}6Iof-K-WU>D6W1u
z3?U-$EX|}f7x=Xvf^-hjt7_@WN8ldMovzojtBi_>7<b#;2d#%jn(EPto$pj>Fq7xs
zC2c;mUM@4DAdm2hW-YaC&Mtm$b*;wuy743z!o*{D^$6qxMZi^T&3D2i<>cn#V%Fcy
z#LUbL@1&l6;(A70P|z719#F@bFslCC5s>9T!VO3&h)<xR2$h}U%Bv^<MzATT2Y8w_
z-xI7|^$||C03?XZ@}IY5O?vn5-v?MP!v*9u#|!DnVRWKUDuZCeexSetExD@?W@>F?
z0|3=|1_?KSkMpXJY4N0RxJl6C=0EZStpaJe_%&P^tFDXB0}?SCXKLnsh$2qS71lN(
zQBN;yo>1<gL%TCy9Hl4ufe#D<3**x%FbD0+PHV6AHb^P}=ap|f01iwV91e^e(DqRv
zwLMA!koxt@`p>sd-3XP+Z$QlfoOrCUu&@A`<EInspiSP(z(5GuuqK=wxFfJrPL4SD
z)p=Q%;w#kr&)!X$vAQGd1C;m1Yv);;-eVC3n2A6}P?=0YFqa0`3;t!PH@hF)6VUs`
z*1f+RW&jz7m?zDp`SlNIPQYj9Xxc#X%;3444}<%Xo~~xFt6aG^8GJ8{PN&Ry0WJjc
z23&e~uc7-)6jUI%5CZpZX=~%*;|mW80<wAmHa@U-u%66=PyM~F>MQvWD_fYGpQRO?
zhsYaKhFk!Wx4*CNA_@wt><3pxs@|L_#*4OH=@$1Nk_0N_wErh?v8GfMcW`WkktZOU
zAHHZ@xBku3+7!F$lP>ScR>7E+o12@N$sF*gNY^@qO>tM8zk=(3uo7WOX#<M-h6Ly*
z7v1p8wnb07p-Ddmc8FJoCJbABn)8`*HmvNXi%%Qcio_O|58kUPpJMyJP!%OC9zH(D
zes}~BNTQOGR(oj?_+-a_PBD`7NLfd3DPK=vz<+7x0sND$&%04PCXtCc5=<Gh8Aqu?
z>GDGVi9@E*DwcTsjH;ygPWG6?lZr9g%s3_Q{5;D8FUswi;5gXy#{mp(5!446c!zX~
z4`QAPi~GLvIv-XL=ukHNJK*v_z8J%xY~6YL(ydA}M{z&ID+Jl-%VR49BK>-N;??T{
zQ2P^75V}P$h)pnGm;2C^acpR3JF+6;t|B%uQl;5&v@uiebd^E6;{|by05KhQ^qP;j
zC*2;i77IRL3dkB9jxgO2Bhy2qRa$7iXH5MvOxZ1+edVhnF>`~`_1UO5X)~PDt&gbi
zKj_Q;BtSgCU2x}Cnv&gI{?QroPLZ+iWItBld{cH?wIY%j;~T3Ge=nf4Z%`X@mQ3mu
z1E4WF_1s&CItQBl@N9w?p<39`oVfdq?9}n(`RL*7k+q#r@sWt2z_&B@ufyy-h*Zw%
z*hOMbVS0G~_{tkx0QydRtA<D<-Klxs<g@eFZn9u!PEU9C);r#g1Ed&ao_2F_b=>MF
zm%*cU<6iSst@|5CzcHgpVWUJNJw3c`ZoS@E8x|5~-5kxF#_7Y2XvzD}2gaEr>?>3e
zRA_=dX}CGJbSbuMoN(!foHY@RQQeOjW-V;c76U6?clnS6+Gb1Sh_Cl(wIrd|N2r$2
zx!TG1^;BF4oAR!r_MB**D+hIM8B}TjlaP5uy!+X(mixw>WU)uBYD~yF*xBUR*H(tp
zS#@T}qAd+O;$uOEt$!JM0Tb}O_`R!yKQf>{&2!E0wBXa*4eK$l(`BEWXJK7NpOi|>
z)(XF5V9zG-tMN06eBP3`TGdWmTp?oVRy`<mdU}UxIt#7&p77CFiCMLnqHDfJq<m2L
z2FIA8O)>rUvgC9{7-ybqphJMaKs~{eW{=CV9ax^To2UJZUomenNu?7E-X$r9_md9v
zBDM@!UM$p^^y+wV)gQgfb>H-y=~%WwL*+HbVIK6!z*y_8L7<%wey8xg5Er8z@0Pww
z=p;TeQlZ^drH$Dsa3?;y{IIE>X?mh{-;l)j^XR>u6BltsiMv~?uElrm@AVL5v8D%d
zxuw`*maoBWhE0eirG?{_^7?UN$3;|w%t~{-0A+{b{H=H)ySO7q4`#EY-=%A#Kq+`E
zmq?{5ku6PIfY((o3Zr&Wohj8FAhH$KtMR%gUuTJ3qe!Blpy<+^e3bXB^ERaO49TIc
zjwD#0m)DMzqoy{xGm~GJyM)b$3oz4~#uS%&1(%H^bh8+TPstNyeJEU~O%DvSm-6tX
z{Ax15n}=pU%F))CskmN>#3a`1(60$DQLtzfdRISu>qBoZ)-JP~eUHlpPilI)ZRQ7d
z(nqU9n&KRQsK(#^)w!yAdR&vUh!=!F3v)(sN=WE0a{l?cXFU3$MWE#C0;glS$1jJ8
z&#|QLPaaa65DhP6>-X-@hMeM(`oLk##gLVQJGM91u1Z_+$8uAWGT+J33=G(Ns{T;<
zC{158b#!<w^|nEdy|CeCMmx8z&I{V~otgXHXmP3|wNDR3G?%{9H?i1@Z5Q$uH+nwc
z<49MNCe4hyqwm!yTE%y%c<z$h%G&|kFUQp9&Ygn-f4CL%s)LWpNvBQX(VK3TSBwg|
zUWVfFt=2E<tNFquMrRQ0du<fE<#o8CiyalDntArzQLA0_w{O=`L43Y81cYY^-Fz;c
zd8wNd_U6sIGUSDCV>Jm>d0$))Cf%!g2ep1$T&cVfX|?A=DOPD{m#<An#xz?$)oxv+
ziYImD3My@*6D_!UJIra3Z$(2i3i;#HR0!j>D`8eYtoc(@hJQC$R+mCP`4TnpeGp!}
z^!LTJ#irDu+Rci_Lp`BbW{pUZ=;;aB6EC8X?A+Wh_+CJpOz%FQbIW;=y&H@*+-$I*
zJow1o#YmkH=45<$qu#%`{rv$8haGS62o=1RIsZdEDS-bv9q-&BlmSMX5KqeORPW5#
z@Z2ekw_}oscU7|b#p#NhOC>|gi@o9*>mbVcja8rfp=X%rV{~1=wJl~y^rUoTj|cfw
zt})++zJ|<1*T?VUi%rAlEl+kLABucVuZ=82=20K@Icuq$TI9tFgsq3$DNOekb9)e4
zjFnBzYWJn1?*vJ?(vMx+osZeG#CIn_lVakO84)jP*E@tm_%gZh5y>bruNqStX1>%d
z<@MsLOWNVzZZAHo?jTzecxT1>P;A1$C5iND!kHF2?DXTXL`;~T6``F6c?j!Rwj<~6
zI_a`qN_QpFev&C;xtI4!as|&{F*Qb-81wx1dY#>88M4wh!#$34hOq@?KKinLYFwCK
zhdn|=6`bpMTJdI?&#LPh*tQB7WmiXLJ&S@-LHBMS=wRq+Ca{VG%WG}C6E8`aauFrN
z;3rrE5R7{foZgL>>1XEyb|raDS}x1$-HH#pq1Rxuu;A6YzU&{QH*Hg0cW3xM2YQ%v
zs}jp&r?LrfCzA~^hKcQhRoyOU)m=v#GrnMYveR`bA~CBE$}Gk{8=cwh+*lTGZ!UH|
zm`U<9NF<u@>=ldYCc^I$$-DXTC_?p~>K21z<7LQw{A#86m=5M@740)6Zq?lKBQty#
zXw^b$|0};~Xmd+BAvAv%Jwo(m&ZI@kyY!8(`unuxk!+XI_t^>(vDHdhHpe>FJ2EjP
z-A;I;@h3*kco7qcU(~|LM+k`f1`dNk`hf^KjmN+`h28sgLtrTI$-}O4j_W?7*<O)m
zBZkQ103{w%w&g?&gYu&$(%qVtQ4voLiLuMg!ST;m_|(=MZ7Sy5@QJ^9e0-SReF4Y6
zWRyQ4K>Qsjvd%J#Jo=$OA@3tHw`H1^$Wi5{XnMWEwP4BzB)hAw*aqcF1$&V#uRo>P
zPDHt~j2&Lj=&PjdJ?)-dD4zLIbaH!F1l+82t@pTv9k|U9!qt)hgPo20jU7)9f-QtZ
z-&Kew)~>9-$Ku6^o5=JNd8g~Ier>ez4yzFSH4@3fZmaJ%H{>#i0+;h5exvQ&%8}a6
z^;6qyF3hmH{C*5>?q>2Iyu>{db3+i<#2T>$8}<9CV{xm_N_1X%8%IbBY?T`J`|Q5K
zKthVx=*rDIk~;&-OWbDLvHtkON=zyagCuKPanCN)UvGWudcfoSWnpe5FZ9w6o-isk
z!kQ>dP2EZeLZthGt-g{}(|VoHZv!Hv8*<#@RsYOD1;0eh>u!=ShMO<KXH}9#yrs-c
z{L*#>9i@-<BuZIL*u2)yDeAYA5(mdPv(*{$nsQVG-X5Td3i3hKI;dnS{fSW;Ya3Om
z`*yQzte0gjX!J{oxtJ^cQzMArT`0d8q9&P*QJVydQhn7l@5BO;5vCXdE<bPQVxuch
zLSn36U2iIB=BnCA^ljI8zm42IyQY2JpzGu`vHg<IT)|^&y~$_Q<W$VbGkWvjl?7Ib
z5A*BS#k*D7#r-OmP0qw7y+cR`UfaU+!^1N?T|q13E~M<T(3(L$8sp+9!Ht*DOE3Dx
z6`MZYMS+&&cF)5mn&MKL=Bd<sX3`7e@p?_2Wb+uiYJ-;gZ-FfQ6+CXIZ9PYe+I_wv
z*YFUxE`4ZdA9JUcxvTPRi~3lFvi(xAMgE=?Gf~Z!&uGoNQPJFSwyx2Stx{qK%Z|>v
za=omLS^&rOP~|-f&{!2IN;10<Mlnb=knOlgE-ciVwyj_H&1_w{nr)eiU(+7T<9sz~
zX?;TcGLB+j0b)c0n1z=qpdeA!`j{l?I31KtNy)1(mm}bk)mlvm6oT-R!L8YNJCL-o
ziHYfcdXS-R>s<qKi`dv$;JHIUa~~A+s59j!RE;ik?etnpCx@G8C_Ah{TmqsdsKQ>6
zF($>wFS)k@*9ZFV&U=iZ!NH{G&gDSK36d;8r=AMO>%5r@TDx(9%46I=?wgy6k#4f+
z?ufhq)f<EN_gLlEdI+4WTVKW;@RTM~eJp$NGEHc)=qXVbX?aV6HsQ^y2WjIW{=dC3
z(%8^p37%FOlkNpGrpl9BMCD_3NN3E&__k+kYlCPizA@fXvwYo2Q#0L@%6)>IHL`P2
zOomU!s*W07lf&ywW9xwIQX_*Jl!{yXqdF&j{{ZMA0do}<*4EV>1k?h`J#rL)GUVjs
zpjj_7Z+Qn2yh#8La&(IvZE-}uP<$JJ15jAsv>Vlj+6gC+U;fisXr)ri1L@LD7M3Z1
z4tsvJ#R+i%*90IF9PRB=_TzrC^>Y`ch$_Nf&m+eP612!!qDF6W>+w4eS638Mtg_x;
zt6|buD^vfx(z~1Bcd*}XIVUe-m0*Fv@DrxDj=VC#>!v9)81uPDO%yq36utWsohshN
zEl2#C-fMifE~O~`IMFw?#%E$8fpMwf=lRvKn@4!b%Ex&)RZlAvdO9A1iDEF;-fS&^
z=iV#KK&QjAwNa=w?V5T8X_aJUWkIFU-Q5j!;~#&VL;@6y$sk-zOjKgS06T%xb^>$@
za_(~H1yvAXRBiwe^Xe>(sc?K#=;dMnr=d>(iesqcpA47eLum{>6iRY($i5ADKA(OG
zl7^-fx)=b$L!!QFE`cQ5&~v2-*HQt3EP%Ev!lF2u?l==;eA?{zgo^n>6xJ>pQlsCc
zRBA<in{VG8^+9In8-%y57hx%s#U>Wsx4yHZpEFDETeFC_zE15dHd0E+lV_S>8e87J
zDO@UeS1Fvs?M_+tpWnNJfgF<4Nj-e7A7<$hhr?-HTGEE4ea3=fQZ9L44<pfiWb>QL
z-IC?luSv&8*tI|TQ}dmvP%gVKW~P@^+rx4OL;$P|*ep&`4;m6>f<qi#dY)cE5`ZLe
zMSp<##)|D2nau$dbUtxcRqd)iIa&iM2o%QvWm^LNyoJLPZqkP0S}wZM6hVK@d?&j%
z7jW*ag>J1}eLx^uKu;7<Q~~fMs`>pjwTvxgV(5^dk#NI6yM)yKbmUqUw!I#KKKkHB
zfbYe$X`#6_<aF+-1KB=zlUh|dS;}~C|F7{0gMr~6Yt8waUJ%6P<jPgir29txDdE58
zid;?@-?kq|m*$M+>xLzcIwrht&$o=-!I(uu?fSrDceJZ_De;Tzn>Nd#0&go-Q&jnn
z9B(yMN5>7=C{%oghoIHpS?mo~sCx=>1Au`-k^Ii{9e_^&oCx!h4b(3noiDh+?*Eqj
zjj#Qn-C-`t^C<ujC%e8U_nK@A2Mz&WAV&e*Yi0!W00T5Df!;R{$c}EjB(2r}WTl}B
z@#D^vQ>k^hSqwl%wj3EL0pbNjLLeFA)1Hh@Xi5M;=z+ezgmH}@h|nD+Xh;3!mk;BL
z$=$ARopu_yhYr7eolYLZwX=>s9<_a1KBg1Yb+jt?m1{_}{o&l}%E7ynhUX@FZMdd=
zCSGwA1YXPF%Ou6~`?$GAU%n+Iw7m4k_J`8RsG*+Cx{`cA1h93Djg80P0Re(zYl^{%
zSfPD~ogJowi-jc>%-*taAJBZv=MYd(UqpfAd45lQsxg#=8K+U3ivZ@z@$TJI%+vWz
z3}#=4D?MFNaxyY9AkO!T{@caD5`dFdheQFB;E5vMZNc|}#yjA`VXL;A<~KApLX{lG
zx5Y`gS2K;?Oi?S^FOb-|v6FQ3%GY-_tKVZ<c_zK;74y3<$Giw`9x{o4skPg_P;nGi
ze|7%aR-*8v$*wp8A&1g3@IDxJ=e3C*t#n=Q=Nioo1hMlj5Dw%h%l3p8hiDh;!$Sb+
zQdBcDCT0R6V4HiW%G%m;Gk^Z}tz$hCMAnH&*!6(FWw3$WGUI3x&gVnrV4TbS6GQyW
z=Cv<Q0f__5L%g)FkBrRo&PTt|XkU=_L!TG;6hXUDi7-z=V6}n2nVp-XqM(S1j`jgw
zgwAMQgBXJsq}8)El)%T^s6)^cNxa-7(~v4?zRbE9>>+WGvp}AXrpk73CrOG>8QBk+
zIkrj~{}7q>E8t?I8=u4A+KQXo0$bR<TMcFx6B04E`-bNEGHvku#vNxCg-GY5{wQiC
zjFGk}vfuvzam@el@DO}rxxs$Fk*}ot1}n2UVBtL%7i$4!%bcluAUOmDEU;HaM!Ee<
zz<0?@@^W#dGJr}x9C?w7it1wB+0V40?1F+lJ{E>N<S0Pj9AUHLAUB|3z-B>%w>#o$
zWNA5j*{;F?C{1vDj>D<b)6)=@I+li1vN)It-F)Z#{Z_E;_F}aM42pBr+36w-jK$gc
z`nHS_mFvs<5^i1PTJG;gD=#fndi;1n%9xOa^!{8ai4&Xb<#^6eNNDm-<rmC>#t<~_
zcZp+R-d$XTu)oxIv7j3G^QFy~<99VI5U#;sQitQP9_NK{O%<|XbnaX853Nl=9S+lx
z;p4b5*Sio9@mEHyyK<QK5+@*vaxc1H3Rt0oLw=iO_ai|ZFBuX7&0t5k1Y&Kp%{v@&
z0cDLzt?RE7&+Zw&a7}JwUOSQRjqIl34(wdHaK4#jG4uVZn_}rlrM2h%^efFi2W7^8
zj3~FvpAUz>K0#L!jruDdJkOi@Bvq+JgG9NFOpWZ`3;-gt;T@ZzqmvWJ-%}xcl<J07
z^(6whc=odJGN@R_D%_nkH8su6KYyde5pF=mQC+$Otx!CGO0%=i0ym_Yz0C+s2mtF6
zGwZJSatuRW!<0K0DL{QT0Ey)<DZWp<KkiTV<$mnD_wT=h7W;2A7>LAvfPe$wQLv24
zii*RW;?c<hanLi@h52hS*R&FhIPkbIGpsj0#`h(yRNj49=efM^|1or_D}|gz(dfpQ
zXQ|Vj8I9tFkp;;WiRqJ({$&F4o#XvtBL4ldTFo@oYq%=U_w5HH+I!}+M-{`<9M#NO
zbn*!_3h)?KxB<=%!V{OWK@hM*R0gp)(K%Z4>cg}c!?^1vC<}`j0N)`1U-|k91h$}f
zxdz-l1aY9EAc+IjN}Py;DRe$%elV!^@wRTmb<fFx$gR!N>~}(5_d*8Oex}Rb4=-q7
zh3Ik-1q`nMt{o2aC;+L3$WB3ovucam226Y4=IR^S)C<q(Dmb<A55XaT!aEzdbWIJ7
zpN)-Q($XNc;u96sSuAUq6YSvcN>%@Ka~yio>^1NPNXP^kUGF(nyp50Hm)PI5T+U6p
z;`>S?n?3S;HUq;IlZC`VZ$38P^h8W9;oPYesA0M)bgZ4#-?xt-TolTG{Jsz*)d7t}
zK+_}x*9J@}77RBr_x8DWH{;uKSE-Ait?1T*7#DUUq-7F~cO1a+umrHOvkP1I1nHv2
zI&(gLWMX6c=`#cUIjUsTyU(ZoY=9i}>}h|6G!Gzssf!-E8|L*JmDtxh?0A+Ezd`u^
zFGT4PWnv73&eLKB$%f4zekwhyY>=x!N>HzdoApI;k{86xZAq=9B#)1~nAZ7NxF$~H
zlU-|4<J{5&(hPCwY}78JLfS?q!^m-^S<H~o(CAo!!)+3eGZbfjLIMC5mv1{z0A!{}
zu01S{q~{LuF9NT6Bl2UfH4hJu<g;aMA0Hp+7rMh8Li-&O4<iqG5WIt`37A~)sg1-K
zh?DFAf*|;YMn8Pr+^=7qv01dPyZBpH&!t}*K>x9(X7o=}(9T;yjvGwDrD<+u<+{|@
zX3o!}`#q@a=wk>bj(g+@Q*rWzktb6K8Q#!g72kF5oVf+{Tco2OJ{rDHvX*5z?%VwB
zI86B7y4Tz>wii8i9v`t6-ac!jUG+JacYf=a+j3P8`|{GGl+;(}y*h7hi+F&O_uQH{
zxlV0~PFmSphE6chEbHs*L%hiM2kjKdJQ^$uA>=7Hypw{01M<UHuU=KHH(uVV>*#pE
z>B47JHEf9;Gr0TPQb6b}4*d@(y1zXHJjE*X9_1fH1FNFs$Ac3KP7J{zs6*N;oqz}z
zjbcIrg7H@ia4(dWf|62}_;pB#*Hq|DXmQ&1IKoM=cq4A6N2YnYS-F_IAt=K>C2EDt
z#aFIyIJ$~umfJn0x9T-N;2!eydEq}J`xIX!=bnAzGb}2di>V8|@TZOky$zjtBmIIu
zd(SxB7%XlKRmjk53cPy*CRFaz1KU5}YS*uE##V!qQs*`W1|9N8wgBAeU;D4zcYt!m
z0@(#5RHVl~s0pMX)$B~Y2SFK~Gy?6Q*eK8t=W1p{Gx&bvWxEFklaPTyPfdyA%p1*Y
zi{AoGl{3)z1B&xENPg%lHz+?A*RQiI{M(LLwa?D{S+Dr%j`uM*ipNm=K}#~>avm$b
zM2#MIG>CDYBR96XRff=EAOCha$fM+xmBY+`y1%N5EX|(hb^BHs!e0@hFmt8mSrd9i
z>x0NE+31hFAGwl9AD)g3j;dTqPGKk<ejnB<>+P;0j+T#4c{@RH3y_H;HWwZQ)A=0s
zgOS%}L{%N)ve+1!_8#l)DFent>6M%w_R!B+q3@ECMyq{&gMZd(Cq+g^#>XoX(}0F0
zyZ=0+l>Vm&U^R@`-L-U3<-Bh=d0i$vYMS4nm;^scfQ^}(nF(c-t^#%TKe;<(gN7yc
zpV}<rq11q+r1g&`>=cj-L2Iql(N;I`j77Es{2=j$<P0v+`(bOMpMtKOfd(^Zxh#PE
z_2<u@Xelgcjh{d#2{h_MH<>=<X>oDCM2a4Q%I?7f`^{M;-X_hO8y5`xj0k+;UyIRx
zV6~PKy+5Alp@3d%fkxcLp0^vUG=v1A$~TZ_hYh2b(}Grmu)UpCv1h|8Zx4B@jg{8<
zTo%^aAM<%7@yxk!$1cFzXXm<Np?)_*#I;1Wujh5_oVG9dT@^9B!8<wb6wPBA<OvI;
zuChCS+%q+jOLb_duWFsIyVTHln4^;=CaAvHb!>Bdh~sx%o;=ApLRlY_K^sc+=q$_}
z#70Ij=SPsI1DAXyKs%=oGF5)f)EMYdAL8?cNrp-;CNdJYVIclz6+u!9&1K>v!?-Su
z?~m4@YmpHY@DNi$K#wbqLGno5-M{{%6iNY{iW9OQ5L4xX2qQT;uk#ToEpa{KaGSgL
z?v)REhq=*{cb;<d<KyOL4aiW>3Lu;frJEN&2kk6ZYSgBMI1>J|u;jG2Sm_6c<|jsz
zlZLMPU7ob1V`OWQ93O8FNks}6t_tUtx9x19c5;29sZ@8YsV<yzdM37$IKzLL4(sRs
zcrJ3P%EcM;CdlFX(c))<V$(YQ<X-p6OR=e{H}QqtK&vUJ^mte>EnofA@^EQ)ubMA*
zXe>iKe*m@!eN6BW^lUyl8H4sqtWD1V7|RB5{4*u|X&|owYq?N4v$wYgu?X5vnpWce
zY5T>@CcyBt4eORZ1o74oc!6eunH4k>4z4mNIcT?1&4fk>vBXFtr~&R8d2dHeIcE1-
z^T%eDj!2@yG7R+AYbyYYmop%Zr(paYIa2;@(%&7rk%=_J%BQ5~3tJ(kGc!NsCG}v<
zA~0(qdXvmP#BiTw_vC^1o6={O(((U{m9M3WCWegVU6;%<J5F&~d>ELl9TrcV8Ml?u
z{@bBjUt}eM>gcpBH%$_D-JxNke!H4r#`$)Nm&C3$l}o8mQvUVyW7T55v)>rca~+iH
z)LIwOhBn5<**6&t`@Y#SUh?407Nv8X(A%mTYD%SsUldv9>|?5P!H{46;i?m|^U}`1
zdJFlqaNu`FWZ5{)STX{i(9Q2=?EL^_lPBwg9%~mRrO?ht&R&b)Yn3^Cg2KXbb8@1#
zLy7)$mPh}G35`mPSqjWmDH7-Vk`&#kvcoeApRN-3`MF><Fgmp!egU;yKDHuxv3FuT
zG1XV6fv2Xh!h7!G_k=k6{xEUn7h-u^qq$qYH}yrkx12s%98$3aI#o-I=F?+Ox^!YJ
zzWJ$%ZpZwn7VhdT3|o7sq;zhI$^P|#KCx%;z!I4{P(|C3byMFvRASePn_t|!0pxx@
z>G@++h+o?ducvfP>!eB$GypbgKV1|ELy$3nhTE-3S7}*no;t&A&G~#IV%#0y^(;Cm
zUeJlT$uhH-j*;k9%@9jo%8Q%K0W{zCZ%ztUswHAx=ux(o66SbE%pP;vU8+B&=ytqB
zgXi<4j9zZdS|~q3vEyPWwwJE+M*NgK5{-`Xvon`!t>}1*<bP~sFs20vAJDu>aVgOB
z4Sf)e#uA|DI=Ac~7Aj+Hy_j-WnVnMioAGm;#F6mGVQyEd)g#<{0<?isJ2T5mNECaU
z{+>>sr*bhx0B8gTY<IkPL;ZS~LqzM(P}Hf=pa=K_sn4oYsX<b$nz>~j9Nr||_$Yx?
zOBxyWYO{(xb_yMxI`O9ItguPE{i6PhowuBkwZ=#;)uhJ<?z>$#Ntgr43j&J9-RP@^
zTuOTC$F~q?s;=J3(Tu;(9&Pr>=yV>-RMxSddA|0Rhqt==`ynn<!VljISFQZLZk%IP
z8kDB4tE<aMI%~fYJ*Tww+C<o~V^F_gXJCJmF>NbDqe!=H{yO{^!<7KHDYNrP41}<o
zwtpg!!0zek>i#OBfRg&cHWRdft-l0C0{oDQy?&Mb1S(2_Ek@b1N+7v>gfIHEds{7g
z48c4B^lJY2K}pnbp_R~)zHV>;efi$Gw7(^-R)6aQ{c}ki&k`{^Yd_r`U$;s;%N?z1
z5uVF);r7Q~+VbT;Dt*|QLX7=HK5mbS{#H6BGHX?JV`%-!MQ^DSMp|B1@je4gpaEw6
zJ^i9r0yGbMOSPxE`!`_STQkq{9lFisWBCt)@A8k9*7->-H_2bNLr2b`?ebBdKH^uX
zW}5fNC+b4i0TLAdUJ$ETSXdxY0eufh-JxmJegdDFm6;h&twW8PWO)4thI<Zwul*x$
z-ok1vnP?(b(jdz6#HcE=p7b(U6<6-N>h4J5r)!o?+OZgtWM#c)Ui<k$$ZXl^3nM-*
z{(@oMrJf=j$wSO%ooQs=H5y#Qrd?oW&23x5H(YYA@~)1%3R=4wPnd14s9zxapoji)
zXz&6AG5uaA<Pe}qy@0EJuRMNkSex`cQL6P_m&2|j=A6oEiLw#v+8-wRZ#rdTI^SID
zuoLH|=^P})nI_FQo(@=PVI%mAb+Hjy@^zeZF4FFpcLheYB&`_4^QLvnjgp`A2oVY}
zcO*YRJvh<c>?{Nr5BRBrp5L1wiGiQLfj;o%q2j!rQ*S~f?Ya%d!swTu8nveB;PIJr
zPjsF4Oq?Hzp*QJFTn$+Jy3lMP#4GjSa9TvHSL2n{<7lm2@t;qAf6+u*^c2tEZaQV=
z+)4T&E=+6sSuY9Nrkq=Hj_w|voTr()?=6>VwS?`2Y~oL|f!J0x(~<e4(UhUnqC1Ph
z8q|cGP3Gqj<F9MTF!J*9&<y(<guGBHL8mzAI29EYLBXw?lf-YKaQ}V?jP$i4etO-H
z>1+KOnNQKDN=EL5po#7=$ZC#leJ?b3tE!(ZExy0*fEI`{PHZ$7Q#bWxUEpyX{(g1+
zG7T&QB7o!&q4Hmcz=oEQw+l3;PfnWVXky`4JSw)j6qVESBKcO2=9F1-18>jV4Qb<6
za^Sv5V<;;@BZ^+1sc_`WYwdKuApFXRyGI6@O*ZDFYQTW*B3UzG@o}lGmM&cLnLDLb
zdi$G9za%WcC0x5BXo#<=eUUS``(RvryHagb<R{`?A=ywtiHH6jkSla|6G;UPhu}?z
z&{Cgj-a@UzlJ@wBuK4Um_-%o11>rj`$T~IYguqzUUL2QsmQli6!a|>j@%fpbJX{~<
zTDO16&(Fth&83c%>8S@*AFa1wMvQo+eu80>op?%4-0!0|@*!+5^voLU799ZIaH(g7
zcB*(gakdhi#1U~7_{sCw@4r8ApvjY_?ake!C)_o630<s27+v=SW-F&$F4i(CGZIr1
zkCRzAnHWtQ=G4e`IPsqCD!*FtJJt#ZA~W{j^XBhPnAu7o+~B978YcdjtS&Zg;OkOK
za5K^vIvOghRgp}GT<+Xw$UE;8eaQWB%0QcGcWBl1OfQMbN(@Ju=@!6j2sySpi}*Es
zK`!p1t-~7(KSJovfB&AZ(iL9$Hn+R^s3)fT#L@lJQRPxV=)@fMqFr%g+J(-%UNX=F
z_`V)0m^(aFf60i#A$EROI|vv>N?g@Eh0c1Wc3-An;Ahj^E%!F1^3!Uz%8Z?f-pJ+M
zkXGSM8~8t%d+&Iz`@VnpD@n4FN|~jhk`ZOEqZCP$T~-Lm&fW^4j8sTgsYrIRcSI#5
zdy{1Ey?@Vd$8p~Gb)Wa|@w=}3zJHJFar@^yA4lfr^B%9)^Yt7XGrJe{mwxN%xc$a<
zraRjns)i0o{pC(~Wz$u6le)nNuPp1he|~UM;V6_J>?5@nRxsrm3z`V9x6*_G$`qi*
z7yVv`zX=6<j#0;0$xjv*zp9X%oZAsZy`y@qxNqd7XTt!lTk#YzM(h0e24&KF_4{?C
z*=xmu@6ItVzgX>(5a_>e)5{casqK`5IALkq{qN+vbIK~qPjZb7=m*wS`4gPzK(r|@
zcF6cT<wo*xOS+(i5XX%J1OtEHyVo9f-^uw>s6L?b+98P7k@e=F<E_a4m*zqDKeX#y
z-F%cnHm_U7lUTjg^MDWQl2pGCsq29Oo#M<kvLD6OlxdA}^H)Xp`%IiH;_p_z_RFSt
zeG02!_3qr3cHy1+3$A=l+#P$|%nFn0SE-nD{4RBZepxDcu$260ahdAW=}C$H!GXJj
zV~0{3a#q)7+$y+vZGtP9XZfpaNFE12Fy6WT+dRN@nCwH{^oWCXL9?6K3zq&t;lJNe
z?#|x3oF1b!_AWV29-RB4?l9iZ3^%@$$J`~l=c0VF-c<KKg*t}<iA$5IJElf1g!JY4
zna&nOo~d1#oF54o9<nkK2bYR;tK$;Sf`X$YRe59MoI>?N`R%(5_2qd6UO^l*wNEZ-
zWsj<NO;&vRHOm_BpeJ~D(Y1iJJxTkQuV56ZeUMFdWX<mf4;}#MfgQ@$PexS&Aw?vF
z12+zomT%^MopO)yT`v^7(RZ3^HQrQvO4iYm_9cUxY@y2G2-hIDX6FROQ#3+pNj>!x
zlcc$vOjvp1_<bmyeDpfmx+Sd@dlyXepMR}&+1K&Y?y7j&yj!OUkDQ<oPRS%romTs6
zThh}beu)W_?s{v}61x85^ZFHgNhxh!w)I8RKVECSB|Ce|sH-CLS8qrNZ^o)9-f5hs
zbKN*=Wk1ltm&PC`DiUouU>iW&m^3Y3R<zpHB)p}^*u?o^(TRljmfAr@6L-E$dGGA9
zynJyzR@y9mEc}9Z=kAQZw)2`TS_U8V?qoMQ%RI3{LpT7!oz)i;?|2dHwKpGyX13@T
zHhlP!bE)mp&F9{2{Dr?{RC(XYL>q7v_F8xVh}wB-Ha%T$e8InKJdcz@rdHXlu`n)I
z>-XJ7rRc)vZ@5FNUbyYtM!`mKJw)8piW$<jmb6+`ZynXOijH^IC8TrQteef0rxz+m
zm9X;jJ>O~`t#14x_;>T4ireW0vKrD-&otY=2^CLyIk#&ytjnTnL)A6S-N8)qitqc?
z7&q6@!(YPJf5?{Fhvu-(T{wmFg9ILdQC3XbeFLKBzI=>`u<5CZTAjFWc*#{+^^t*x
zas?wj9j^UzA8EF*td5sRr`7D4VCiLUnM;=G8s*We65ON|(mn9y_%;y=%AlV=jU4s*
zI#re9KJ-T#Vc8${J~-E_J2c_IO*&t%Zdo_}dAqmGi|x6Wm>0wS__8}Q=tjKn9p>*?
zr69ScGP88sqw?<Lo~6)m<+brRH>wnJg2(JwX5B=47EEsdOF(r}X-(#H_OI>2u1i*6
zsYhj}TlIYeTuXPh8*VA*A4bJSa)T=myE$NuwNb)E*0id+I!X!D)9R{Cjg83~8TvrG
zAYy@_<aTGSHB=E8oG`MnP1>%<qKjN#>>={&|4(|XL$^}`2+*wAX1x2<@a5=1L7^SB
z6$!l1fYB}p*u_x9ynOjG^}*mV4h~~fE06`{0>-|0(Z9wBo)l0}%z{wM3hOpnCI?Cq
z)~(L{U3qxcZ&)ARQ5EYs&8jlY@`Q#!SwC6KJwD!fzHFV(uFP%tNB6l}iCwerq?6mm
zI`7*|B+$BkU*E8H?x!$5|EwygfBhHTyy0E*2@!(D%;zS9U#)Dv;{BgJkyVoUk;rn9
zHbmcZ7CjK8j`c+QAs&p9#pe%*in?HKBKPKpbu@s4AU4Su122fw0so14Y=|8^EFd6o
z>eMuRLO`xwhBOJtNas6M&Z<guld73*%q%R?&!0P^bq5%038plJ9QfMZoili1s2GXr
z_>@lE;Gna>KnEXi(jg_MxpkT`$mLffpmfD(k%QjezP?O>m6(d)1D^mPj6(ECmn1F3
zu7|^l#Gb6&S=n8kRCsOo_QO3C9s97$?~32Jdn69jIr7AqBbOxglwYkz`}Dt@y}elA
zS5Bhw{ITm+=v_HI9!YLotSppWah2yQVecqDBr0(zN#{`c$`gj#M-39(_vN~_ob3ml
z8O0r>mwRCsgyn$WT~zz>t9pn(;86vU0~gGA3@vS@ddo0!g}}cZs1ZDw(0k+L1GJ;6
zG_wiYPgiBTV#y7M_QU4+uc<F-=3m{)^}_QC%U2<)51w8$yfcpm)TP68&cBhAGQM){
z1mBexR%CNqg7~(OZM$~9_uhfU_gQ=zC*`cA?(Q|o`0(M@;^A?V$CGSqmPd`m(O9&%
z%+^bO6^@-1j(vS`m@_uT8S53mY`hPQzhFgpI;bB4R=_QbShVV@s+XfhRA1H0L)sc2
zf5EDTa_>o?cJS8uoDl1NT~l)vpViXTG~SwV?&uRhliYwf+XlaW1NERKP1ggJ9X1Kd
z$EMpDqd$V{8t*<ZIUG0EoES!PU@+?X+%P*Qbb&<VsNzDHi(q-ds}sJ47X(kH&mK{_
zM5e#2R?2_WnKwK6`v{kqFeRanjnFx$J2!4Kx4Gv^@j&9PeBp;1{Rdd4Zn_**h<bbF
z7|}5YKAH*K@FAk43&flXaJcjbyHSYm;}v7wq0Pk1O!4{Y;}R0x3O+!~us?<A%)1NQ
zT0L0l=`%6>Z*6Ub;?-W}6&4yiCWwAXt?BUE@b&}w0K5sHuA`%)Ac=71{x0{WrLV_y
zY#Od@>4!*2Na`dvi4(}P(nRG@&7$yoJwRGSTN&U`kox+|a)&3x$Fqt%pXTNc@>`hf
znbcoj0CClEf9#p@kk)lsnGS}oaB>zQ(fVk=4GvEmnM+H(Pu@V(FUsJ|S0p;}s#d=z
zGW%;wevkN-Q1W+VgadJ_D*VA4n<DSBRHbC{nXm6vq$qh=7Gt8MrPT>JCw#gx!G!@J
zo9Q%3b4EabRmjTI4-bQtnYj?|L9jH$aR&W0g~i3c{vx3}9{Lqa`8g{sB_*_Xo#b%1
z0)z=oNhHfJp$X6{r02eJrajBP#vKl;wox9B<!ab_1vJb=zl-o|ynTiaqQ}UrbZDrg
z8{0>6&#@mro|v3G2E+-305m;Iv75`WVBLf1zuC{WnQrHQ_T^Adi3h+X8=K7X745sM
zjys1+)VQrp*BgvB+h(d$9Oew;T)q1;-VXPXwHAFIrEMsG(lp;U+G#73kgd0PxVmyl
zWp+pG=l5ctIg0bM=yf`;PRsTadX)u!++Vfrao^7}taddh$Tr4g7af;I`T;(^8CWv{
zLHzCX1;0D+9U!IPO@KrK290n~N1jarXU!5YZNJaAdEE5%+3B<k9Ygxvhfm~UWaH*0
zP6v6=w`40wt?8gp?gHOfszw?*=L763(8-yoJ)^c5EYT>%Bo>pe59S>L(FzRv_b0ZD
zj_-ze)2z9upd|z9ch17@{_&OjgDj8Id|cCfJM8Q9!t4diJi1he(*ul;#<?6gT;NC<
z{K-*tx(P48>4aXHMuk<-gactp^m3!))1ay2P7f`#U!Qfzsgix8M6?{0{&4flt_EgP
zaweM%C{QoHQ4%POG7F9y^bh1nd;2zBj7W%L|0$IE`n5L;2BRW$Uk2`km0kw>qxwTY
z<{A2W_>jTS1{5nugp}3PD)&aX%+?4xjJNNhr!V)QSp$JVNm&_fA+9+%?ae~}ca2L8
zE^(L;<5b9pYtxxCc7PbgMj1e5OwNqm##OgNAvlb|*{Iy6r2npK&}VA<eXk0JqNgO9
z63o9e4-sfjcd)G{u?TqXv3eJ+ut#maz+nEN2P}oMcVDHGaUFcV{-m?uaYO_z&5X9*
zNI^?`jU@o&oIqpa;4GAWXe<&-Iivq$dd&FB$_jeeXRNSOf$y7PPfPO#-)b*Zr$^aC
z<@W5n!75u`Uf!l)S@}_+NnRSGjGDT-&2qMlbkL?i0_pATMUReq%z~&=<klt%svRZb
zU=@eW&Qy)(&@@MMQaQ5AUz(k$L;(d0XNr2tb^OiyTXGUJaju!+6fV?U9TYW_7%Xq*
zpKPT4)VyTx@Y=zZy|m%t#iY!{XU0w&O}{zE)*WuNPj}OZ^hKw1l1u8Ri#T@IS|>?Q
z@(*6?`yf_ccxiy9M9buaCre3x@h8?h2fm5F`>C7zHR59`RPfLr3D6Dv`Xv<QRg>QX
zXWCXsi|t>7zN9ENy*00yf~Ygb0Y+aBqf4uaPGS4>`1qrT4tdQ#Y1ph$;9w8Da8CM8
z-u%4tJuk1zl%lHqvly>KW(~VAFk@hccI@!s*C{FEsClxoT8mXt0o~-vX!?u`0tAxx
ze1LW_+$eFJX5U=#DPy;<J++Stw+Uq4-4=enX4lu%GY?f(r8cbdWh5jfe$fybt;vZ_
z(Jg%<Y`zf7#q>J?vhlJTy_<*A$t_%C+9b)ue09Hv8_6(!;Yz!0|EkAFwCGf#?#@Z|
zzjo3^Km9;sa?4tyac-A{*_j#F&UlU!?i4NzPhCw7%+54@P>89mGJkLP^>T^HcxQc3
zW#xrxO2uO~m)R^eHJMi7#Pn?3_>feG`E1P{rxUL1rc+ME!6BPZPUed1pE5sT8gP2}
zIsYDSirkQNxxx*Zd()CbVPSjwt9NbG{MPMXa9pn%2@asY52&u@C~c;<iN}Qu+8wq>
zMJ|5%8Z%-M8WE8P!V6AJqC6G@=4{n(LM>gb>$Pyp?T48ncE>doOPcgLo~R5G-n_xN
zLCq#XJb~eWgu?U3=sXN~en4O<D=jy`GdsU~2U(krqC!&Bt`HOcr51T<oSU1(0U9*+
z%)kbNJ=PA<;Y9(yD#BzALk)dx?JoSNWw9s{(rvB6ktnKG7t9ydQDP8vMlcY#^XoGR
zj?^q7PZifc9w-&9xxu^CmBy6A=O!SK?Cer|wz%H8{9O*2<dgB=GVp}?yzHB)*Th58
ztsCRJw&KCVKC|lA<D7Bi=dOWeo&Xgg&6mSRXtb|vqfTvj#wNeSwApdZK5w+VMf=J|
z+xzS6B5XM(pQF{6vbp*!?Q2C;_jr69`7o~)!D?)2d}q^xo~EFUbl2vm%oDmBEcy$_
zPDYNX^a}=99$<G{K15?VvZDNR-nhwt=RDhV)uTIAK7M{f&)Qwzacw5eHEzUStlzKe
z9>#Ni;l!C@we|C2Z5`4zap?)ZG#B6ez}1bZS_&9y1L3;Z$C*v~I18Zs3;S{t243-1
z9G9Pi%TtH}Eec8bNP){5OsLSOYXp0eHFGAwA3*&IZ@kZs4iYbKQd+T6eS5qljf<gj
z=cS>p1mJEqu!hYf@FX_WI{P>1gRp|zS>Lm{;SkpCFUuYx4;!^NZw#UO#V%d&SgZ1Q
zre<-;(NU<5eB=8$T9o`ys(`R((D%_t*L9k#j*?8u(;-Njoq~oY$j@)e{#;>NYHE;M
zDwvR$d+f3+??eU#I=Jn0FIc7nZ7D^q!-7@8S4m#|%Rp>o+s?(0vScMiJyA@SmPzfD
z6dndl!Qv(d@L6D3z+AL?+*m<Fvt#0-SCs6=sD7SNQ+};OH)HmN`bde^-@lCn4)DTE
ztofN#j21HncEO(0U$@(9O1c>s%nbw!oym)?du28ExPOm8;YPlpr7`;s8X6-vt#Rhb
zaTEacLV4QpEgmm6lJI0+zP#&)`vatp%Zl(Rp}TtHMZ)S^?bCirXOAaGJYU+)Dp%s*
z;BxZvGu}S%$-p*+gGv*eoDH(5m=4!jN2RdzgT8V?sFXfL?#=aL*Sxl~){tzo$AOOL
z?XBy+hsnVf)-NEI@Nv0fe7O+VCSfIJx`8c_bv;Gpgd02{YuYPkV69e+3G=|nVrrz2
z^-qus;Ii<#Wt3}h;USdEVilvD9bP;`S2QaMf<39bFGr+Q7)cJd?MO|X^r<!0&+~QA
z%4wilH9l|oI$CSQi+-l#NxLO|#r0{0ig$!kna>v`d}3Bb-G<U{?htQ|9SbbBr}vkB
z92qH!O$JUOh(>kqrNDK8H-i6LaC4Lropv>j&f~}g&*ks-Xm^I5+4l_)6a!^e7RH(A
z=&tJO#>U24?(Kzt$2n>6m@x*}a@&ZFsjW)Fih(6cQuFG+xB!t-gA;j|G%9Ear8`6m
z+8$=r7d7qqEmoLSz&UpE3%CAfX`M5lHrsYiJJC0<PsBI%)-aZrm~)3EuM3p9aSoDt
zvVD2Y;9T#uQ0=XxA;2{)?{YE_E|<SPhy3jo8fFX+zto0dl@qEc%|d;^B(nqU_6DyR
zR&K>nx4C*5yk5QtGi<L)FTRL?HxqC%?Xl$}tFksbxQ_CUGAUxdBPT1%4P-#0fnerk
zLk6klO&)HqvPUq3mxgTn?P`7xh4@sjseNHdZQt3sp>O04{J(Ab1xbhc7Bb!z8>VJ9
z+#M^P8k5QB48E`<H#qZ9lX<AaspcKUTFI*u&-5h9D*AjN1~K&=DTv^HNG2tHaQFL=
zjj;1P;Y$8ZTjZ2dUoEm8I8~4q9SZw}rT$=$%DZNEU-}IzGm0JXX-|=6kHD}UMlRX-
zCk)p~j?aO14aGXf77v4iX}53B#k)flobEh-n;m0f6G-{xDUFSdiBo4h0sO0WrcvP8
zm$%H!qR_UYhlLwfn~2St=|+vEdjp;#&Ug@UM`5PH$E}|Or=b=dmq0(z&MevoOE6+4
z!T~szG5J0dTcx3*f)egAs+!kt-ed$02n7)d*)=tWF6~7C1!^TM75<_XTiXBH!Ah{s
zEYmn4q023LO5u}HOj(oKMca=LYdH&gC|a|%rJU4r`*pHMemU{jmbg#}c$20LUFfp^
zQ57-AR#wve<ACRu*w^(g!=?RmOqN-Jfc_)kU2c7D$17}KTx2`1!jdP&6qv{H5LqI{
z5rmfahhUzey+Iqv1R7R=43P)x>;%RD`V4rvqoZJEWP}MGu}8#Pj*c$6RnMO3G7o<|
z9v;OLp+px)_yWUG?$oJMM0Z`39l$nB1<uEM)S!DpNe;aingd3DqX4Buc?AU;O3FwK
z9^BmAf?37CNwmLBO2Xdf<QXhrHqzAWz}|x85%ZosZ>}7JspQ$0OVEY8{Q69nsFIJC
z8h5~SvfRG8Qm?v<28!T0nu*^L7WTe$>#tuoee$1B5PtcMMQ8n8uc^3|e~!?Zn{KxT
zm~#Y-Y|FR!e!0@Qp+oXlqocp!U?!I7xPxuMaIu(6OUhmYyEq%xQV$=cA+eR&OQ%=a
z_jJF!!!n$&)ObT~Tspe2>w_*hlFVX`-_7_0G>a`@Gy(0wdpkWPB_$M#FvP@70(#yp
zcHH@JtbB6qRDVc*zDPqqNHHLypE!2x7!Oa&t<%Xw2Z*OncPHgkfBp<s3+hrk$c9my
zVp=r=7>iq{u+?l?#MpGAr(_dFD5i;4pm3r-M&o+l*Ozu5Z?B@q3aa?Mn&+;j6B*)g
z5ro|#b~HFRc6N3kFJa9x!-@oLV&^HLo`8zU1<R?_xw$!vrWkZx>pQ5YCHg@C3s2eW
zlS|pMdNg~7TY^II%xHJYnm(B*8^zSG89BQ!W~2Hli=rE@q7OqexX8mO-?lw`)ewDq
z{QFm7v#ZQ+l!kwvn9H8}631S7HnT%GxlO^TL3x&YdSrl?Da~Rtqr)<?*JMpC?Toku
zXH<ttWQOPJmO|@2E3n5|DB4k!*)^&Ac}3W657XJn_#7LV8(Ka(FRwgHIjej9x`@-v
zFK|M?tEG|>Gy(RwwgfG<>@O+o+G`c6``TefR@5oz(c-J7v9T$i+6DTrT6#5B3-9h(
zFm*b^UHY5-x;?u<tDdTb^BrdHTUEwa#Tm$d!OiE{N7$%YiF#a|9N!oFLSwE}#^bHW
z6Jx!ywObj2#*w!>$-7yiu1j}a)-Jdw^Ug&uQN+%{LDFtJc!0g^@ORr8Xn19@Dzu|3
zzqe3%eS|fJ!m@%tcjnu2xAx1fR#`T!W8Jx1U!<K0(27~&$}Ln5?6ct^sh-@=X}wVV
zF^sBI9%BtFI6V>kO4ZmzSGu(i%iSOBd9~qGahr|mNw3_F`O@(*-JdBb{aS}tQYVL8
z7Fo=W7M>G{P7S-=)wPd6FovsuXVRk|%d@V*`H_|7q6LSd)g>5sO<ya{+eK#ABryJd
zG#Xtw`Q~uDFjMoYnwwjZ+#B{Cw%JD2*?9)mqSh~o9wkxtV0+Pfxto#0k}{U}xY?+X
z<kz<ozsKl@zIbw2EEYWM6gk%AaCH1oIi8sZtO9!J9}K@+k8u^?=^`y!-w?9wp^3?e
z7#ICyqb^(G_fzfM`#Sfa-c0IDxl(ECjpxN4p80O�q#{63t@(2FX607<KRvH<g
zaGr*u&ct<#!R`?MXK$Ae8z-IGXk53E-o1bS@ld%>=8p?9&WyXJ&=<3$H+&kOe`}Ux
zu4B0`Pq<*Ek#9`m2h}0lkNBk&Tgh2FKc6hhJQPMwqBS<hT5s6u$6YR+m=bMQLYhlK
zS-M57rC<4E`kfc$)oxsO@g<Jiwut3EjD8VBMVp%5R2IX|azjj2UY$(Znl{0qfomYD
zU594OMyR|qg{iCHjwz2oKxbGbS-8W<oqC2q4tCWN(Mq0;P$nMRkzE@pTL_*sG$gE@
zAN8bV?pq2<QxvU{7m1z`i}~c(A70M4W@=A<({YMj_fjx*%VXv+x@IHV<R9v*=J(RX
zV+n-s7B^_b2usuw!)^p|GmfN(UF>~3Te`fBIkMG{M$MW;<`{hx?X;-T3x7Wp5?ZI^
zlpJ6!R$_9f?JxDCVJ_}EBKT*@qy`cxa&H3d&vTQ`GW}L0PP_)3MFwX?6=$qeeoKmV
zGpJ?q8=hg+<SKu%9`Mzgxr1DS_fd<)lo5S@P1x7W=Ob7{G9rAiD`_RVps?Rk+}}NO
zcS)s1ytS`O_}BPj9xAd$3#KtMLk>A}i~tnMn6Uw5R%P?lB=7H&qJ6kD?Y&+$yYD*B
zGtaq+jMB-mK-bwP+eQ0Z&nL?44x6pJym{PFTO?!YBRM;^PYcnMFz!_K)Y`c;hVl~S
z(Lty9=zX$00p)swVTr8?7v8NNkT7ZJ@^8F6Pno)x0#*fufWRwq`q%BAZKGXt;w*A8
z{3a>VTJ-65Y<87VWKN{wj*90mYcg3ge!S=8?>is+H0as{e$oyk=1jIuZ-`h5lC06j
zzO9?>C+H1#efm}>S#)U7CBTwKZINtZ!hNwS)y%_;pFsG)zkRBA@4~F`4;S)2-b<9N
zZe8xn3#Vw=q<x=qvj_WVSX<uA=Pv3sy`1np(v2c%CkA!bV39cSQ7L~w!};|h&8OOt
zxqIc=DIz>sduG={e=~RuuA3eebFp=AyrEp2Z63*!9?Ki(Rl06^Ovp6*T4Yh^n^TXl
z5xu9Y3A)<aZom^EY69;O<AH;?DFg%-1WT4{o}DrP_vG6SHbn0LKUW*QsHo_H%#g00
zZW?N97L6-{HQ!PfpD>x?b$HY-8D6?XNq6=2!>qHb-V+YS%d(s48XdI{Ke~4>gcws1
z2qIfHDW{+xfVfOxAJtgwojk1+wQw-;o<3!kbYDyJST|KtdOV;CMjy^$mJecE2o^u%
z%f>(1W`!_zUCm7CpeSxubV*p|rQx1RyGk1WonrDNkNtrHp=q6|+xGS^crf-BtK8h;
ziiTQBs&vwQu>i6p%oYSso|I2f^FR~@AQ-6DwP8sJ;Q_qH+EmZor*c}KZz=k5gWzfZ
zt*WJ?zh^y&sxH^%iG9zP{4LpOi_w)(yZR1zJZuH6V1Ve+qPsB@-m~^w(5%!|R#w*8
zS)_UpS0B910&_aH6Sh#l@I4>#Vgk!S<6tmt?AO_SVv}lHwxoL|X%!~sp7Gll-d5QS
zFQUw~G;&C~@zFT51nMsI3L~SVD9yxrP7tg@OnwQtTZTn&8RSK8$v$zg;L>Q@y*Z1}
zrre;ra~stqGlxfM8JdlHoL&#LLJ^v<r0ePMdF0yy5idYdhn@g>8ZZ;_2kw_}%~ff~
zh{RL!{hkE!@8$8MP1m@l$lSgZD~8ZmY4{WTCN`4160D6WI&=e#mrkd2Zm3@Fk(BC6
z4t||!b}&}pAye?R{__{R;zc_S5>I8tagH(wWm;NVE**Xh+x%-WML=gk@@!oM2!R<)
zQ^+BiZs*Yy5FoFoq-11F16s>;mP=@`X68`KTo1Qq`75aZ@GgG`rv8#SXK^~aDfLE!
z_cG&AEK;-#*5Tt%m$e;762oi`<x|;c_z#D$zgJH%(F+o(P?Sk%2zg>T$bZKxMVaGB
zib)E~M9UTz(I-6{f^^NRVV+6e;!3{i=o<IODr!2q|GY7;qlVCvMcS#v??Mbxt^7uz
zxjg$8?2neX9behLu%p6e=s|Y2z(OFrr(GD^j`y=YA(ZNhQcN)h{)SrQKpgt-MNq`!
z6X078lk`&<+o5d)mIYsLRO&1UB)}TOFh;Y)y{O5338^o@@-&HPx2cIqVp^I*1L?F3
zTnxG`?)8j*PCK?*7MT${<)o&+d^k4FCafhU-y_IxB++X_I?7d)b36*4GlKrvQm`y%
zs~XK|(I0c`q#~wWW63vf43u8rlQg|Xp_n}};Jlt%__@ZSDl??^$8EH!YIC<mcNa#V
zumAC5ruu%`W<o|rh`fZ^7Q)7wC7tLcxHzF>!2W{?Hc+9*ZEb%SWO!>yDkl<E7@3$N
zLqevTH7ze5evE+)n4B(eY6!i0*=IKrR|n-w#5zxG&fBTG3`Z-HOv&6+{*bA<zmD-x
z(dxtzwJeK#N`faB{6<4$@m6nQM50ESj-4KprCJUPv1<`zlx7Mda6ae;3&=FBNB}}P
zSTp!b>w7T1zwqi>j)gX2L_iHa`w~@Y4E*TUR~NO@BK$D^iGrgy{3v(te){MUFNmgC
z;eJY)%AMLJZtgv#X)W*?`!g4U<dUeIGt+kVg|ep}=L)8Kz|DwS!7ws-d0{wf;k5Qd
zQ6eM%jVpQMj~^c|g!i>sp}Q1`<`xoa?VujsIdwhjRZ2==zfg=~{W9-tib%@HEkz;p
zpI6>$ann*!&Dq;@#)Tfk&AxVbGCKE{nx$sKH=Tn<N7~xdLhfa(tG|lAFq0hCR66@5
z!&%fgRztM4Bf{?{-~O;wx^FjlVOMUyX1_p)R%mH&my=dXY%~itUI<r|^7L>xlC8ox
z;bHWB?Z$W0<3e{u0;#sUw2C%Vfyh1w%qc!TUc^ODM~8LQ2&XZ|9_cH$d(aA^QF2t%
z_>)ib7NjTk2dJ`xf{1QdU|d0@<pkUu27EhGBSK?E>`qh>y+?udp&zKLuI@m81T`yE
z00VM0wRarW7nUc|<}vGpXMMvVFu-RpWs(n0pNol&Wuv3Z(Eqd}vut(&0~zSlaOhnl
zI)$3fC(K~7@pa%%QgyGxY38a70^6=#_k^eJB@$7khw4v_d!4e+B{kh)u38=cW}22e
ztH&p)9i;ON%Y1LImzUSTjQvt+piQl&<^0}s`{+cc@UQ-U+z~9?n@uI$^)AQ#6|(D(
zikjOSo_99Ls?6~&@8P$%;AoyahJDPQr`26AAwwUckkD{DYkYouY(LKUlcm)+`7*-=
zT?|(&JuQojbEo4|?<90jC4CaHeb;lzxrBq-qw$r;KJsnbMr`xRDEGDwo8+8;H6Hx0
zaB$wedlv^8g8te7r*S=mk5xiKg5*N00Yq%*R~NiSVJwMI6J`wfpitfW4i<J03_2lz
z2i-T^FwY!2CaY0{uI#yhIb)UewQJYl>W^`i$*o)H$5yH&H((`Pfwt;7xA||Cnk~5n
z?yIhXrRwVHk#9@`FBq&SMl0Z}^Y7i;64p(>D{7VY+4|Sgp9teou)dw(u-T<V^KGfN
z*i_BQVUI)RnT3nDT+*4vJ#}y88!fFQ3Yh1G?z|dld2EfV#WLaa%C$N-0picYya53*
z6M%<^ZlIf#Ic9BVr7^Cf-m!y7&jUXyW!n<ENhb26Ajg0Hw{hl?f5w?;ML}kVo8Yrl
zzRD6Kc4)hy1S2YQp<vN4_EJhDX0{M{c<{l*w*^UYN76NdLyKkXr29k`R_39Sg$jDb
zeRX*BKq{)9b<@*FZ#;q*v$vmF3f!N^sqDQ-chbd*O@8^tv!p}AqcUGmUL5tVOf8GX
za<HH6DS@y^?=~wlIvibZI@B@PK0+zpBD0Typ~~5lf$MrjiRF9TIi+_=rBB1N48X@u
zkPE85-Io+idhx;&Q`a|b<RsV!L?US%j4w4bYM84);(X)>i?BTnFYn#SbH$WX`h#&D
zYgtY9iQ~upx!A72R}ppqj~*R(@+Dp&`ox5`_jDJ*l3X)u0uVV(LqQ6|G$1;-LHi$r
z!b&@3D}nV<()vT?uE~2mB)a`77tD<VA}gH=4x*!x3m-n6!{U9@jnYl9pr-c*r~Ik^
zhjYYZm^aVtt~P}dd3QEXKb~`IC0qIZh_s8CF<+22G&IDOyyr@$8=MDNF-U|!&Q?Sl
zH0JX4%i`smTf{C+!q>C6VbL8rIqY~qG?=X0zfMdX#`>@<nh(=SL+C|z{yi4LQjmWB
z2=6aZEpb*hdcT2-URtH$Ihxcuy~`Dxy+L9;bPF0M)9#Fp6G};KYv%fUoXp)?rm|iN
z^w{Vr{)ZuA3`Im>tj9#&;A<rlRA|^jiqa^_?B480YJ;@O)vJ0=Bbc{KS6DMMZ5>a>
z!A>8d#hnx24v7XI*P&Ew)7SCw03vW{<;2Gm^>6g+d$%l2Fgt2Kc=!;604Zre?0~<+
z$cV0W{ZU)J%B&!^h9loje5Y_ZAn^C?s;eq0PF{OoVaq~BnA#DRii#*(A;U6x?}0cT
z#uBraVakhj=Pz7{mnCma+)CJ*{)A&)zc%~Yp`s?EiaVb6FBYP7(yX-tmWRDxHdqM?
zRDLUTng!f}^?^W>-*DJm^(jF(p1{5c>KNl5ka2!ua{<>QMkzIK%cgR7b6bbx?m{rD
zxfn!DfT6w?3og798Te<SXqY#p2YVp-qy0h(8Z`@`6tGCRw&rR-4VEunC}DMc)!f{C
z!SuuRlnj^y${QIO;p)U$frp9_s-q(@NK(gj`qSo0+U9!^xLy{1Oit)}-`{ncCg-F<
z$u7baA?Lno|7+U@9un$VsW|(dZ?1R_m-G7hHo3Ka*S~oW?Hz1JFG~vx3nL?OfiiPq
z5d@-z(UxGA;ie=8O^a`#3QHIQW=?G)sVPcyv3lt9^XJb40;rlv6{S&(NY$8e*=TB>
zP50zVHd@8OIP4WEzN$;RhT8-Vh95Jn!1v&<6PpFeAvfzH;lN%4%R)nsg7VWAW9~Ay
z$ahl4o^Lrh%P*?$oZ=L5Nq<Az)FZ&t@X)%UW65N&1%VKY$?bn-I_4%T>z6KobTm=K
zbtWg9fhY~#N}!)#uH7isw+FJBB-W<Ru`8Vj-SW<GmFB%R1y{y|W|?`mK`DXroM=&P
zuuCsVDNp)oi<N=&Lggy|Thifrs7m>{hNrj*y^lC;vbz`_vsBvY8Fy9WCPgXtlSMJA
z!M*;~(1d*7;oymFin!%Z!~4(=2TFPKlgts&0&s=EH0#iz^0_6X`nCQZF|%{l`)67N
z?V%*1GcF?<RF&ACw88&XlQYH-EUu$3uKzPE3gdh#c;-xo$!2mu?#J@-^JxusM4*H_
z``(9WTXRWA%@`EYo7`fmQmTaBi>%eN+1tLjSYOGH-n+%q<0>`f_FrAq9RtUCekDU%
zDTaFu^(jP??^W+pKOPi91d5zK+L3#KXC17Mi-yW&xh~IO=A@RQCMY1_KK+RSv1&Ii
zJ%f;m<M8%nmR2}tu-`T}=i=n#7que}P%gu&owH`)5b>AVTYJIUH{7pdTf#Onf~}Oo
zfIO|SiotpeRr!|qPR);J=Lqgxyxu>J$!3lxy2{5fjtsLpvOktR45MIaXsV9(f3Q);
zWehuLjyRkSGMYCYei#@W3=a!?(7`KkizrY1$c?NuOE_cE;U6NSMQnak(ILnLCI$J;
z7fS8|VCX)0QXo?2Q^K~G*xd&zN&P;lE$tS3Iuo%tk-jTwwC~zByUgzs#p@$lg<A<?
zy?2k?Jt)p{c-HgA$g1FRr-LQ*bpNj>86R&y`f~H+S_xwA;$IDc3R39APe(NHe;U66
zM2fI8md97GjC6@aghr4|f!5ej{k9ePO`J1Q@o{%$-aMEPXmGl*eZGfFRpR%XB?W0|
zJQtMMIJCnOH27lq3?DQVeK@j<q9f1+|INARk=qzCHvnY_(mU*zL0>}lC~=xgUk|5^
z)w$tAFBFc7ifVF)!;}}#Gn`AVr?vGNm=MSce4`}nvEf>F#uBhPM1e2`xMw=WyQ%4e
zkV;;OOGA2eE`-dhKi8fl<nC|UxM8PA(<o@}pWf|wQkwR=h4(@j)rOqCjb2BWSP=~9
zl%s!;I+rl*Yp#nNj`jmq4N6t6WsgK=Kg=t@1UeA+?VG%23n-8_%QFMSbUMs<+H@wc
zJurecG;R}_0{94$+n6lU`>cZ<*l`p8&6%`8_bz|b;K>N-mMugZ8?Ng&?RgSzPoVYE
z(dovr5wPfd79P&P#-^*IgF_ZYCdL9x$Y##{ou8kN1_zT?%{u=h2_p<FfJAL~PsBi8
zMLYgDcYmnQ4;Fs24ZG?SR~L#{_T93KOVk+dQj@i>^4#*;+SC4AcPQ(I>`JfPxtdd6
zzsbFHE|vK=I^C4IWyvGsK;(GgpwG_AieSB&)IhzDw^YH>=0D=}U$+$Mq~&NebUVII
zO|6|<@}oP1UuVaT9k5D1!$_TkUBrp{VMd2YCc$VK_94(}*VfgQfOH1>2$Y^}5WZ+~
z>kgXzU9(?2+47TI6dwJcHsa(zZz))@ite<P#|Q8C(&6Hnj<1t{4|o%mIe-`56npjl
z+E2TM6As}yb!z7BjQvP|QdXw#u1&pVVPWL8f&xj4d(qyeqAy6tLR7f9yLmeMQvNIP
zuz5<>(B3JXI0NFqmYUiylEaIDSA;MY@uFz)w10-RyLX&N^vZA|szkg{kEK3eH5(Q}
zD`;4RDURAo1LFo!#RZNZt0wo!r>J5Mm5=YHcjFe1wX(<(A5sCBK}(GBnBLQ%YD}8x
z=~*+#J)sd!LqGhoznASwbeDbYdn2AyvB5Djo0Bs5?CyK2LnNhKVvlZQ+!FH)wo-mE
zFQ;IC+u8-*vV<vK<feFP=AO}ZIhEh9OiH+v8hm(hrP6Xuw2!Wxgi!hr>akK&Z|XA+
zrrwp`9SE`d#*~70gfCI<tF+9bXXWq1=NJ&vO)3Txx*BCC2|5Q)`abNY4@$MecXz`9
zcYqJNeMQH;=>jpi)V;b?Yqb=HsX39~|DqV0TWC!Y*MiBj=Q-jh9-S-llGGpWQn)Wu
zxX4YL%sQy=^BD%xz59vhB<EPdEy=H~?u{zFq{Cfqg%XaeWgwofQDS*I1{!|nicb=w
z&ClAO`c%ewQ8a$JlP`%W_&}vgxXBM9yJ_Kw{y;ZsPC}_fGD>KPszrWY)0YFTBt4eG
zxj()69592j%!yl{3OPPxw%;j}c6-G;z?@QA#84Oyc8jz28J4ly7Ar^eJ4*S-Z1Xh5
zDfQ`g28d@rkM3nUI1a$7;3YXLLFCvk^PP|C>M3~kYW8<W*OZD?cd!{*nmRaay@LmG
zhWOpm_Dj)5x=rVO?b~hZ8{Id=MZU_+Ek|qdvzTjOOzW71oXl^$x16)I7)5;fl+xao
zMbnVgbbKhh{lOchM3emnBo%h)Hzi{`dX#9u==zxW;hRX)a?1^;uk%ea0E4vvJQEan
ztG}svWjx#;)8(W1%g7J_1|)BOe(WiNj~zX@2?U)A{y-+1+`-lS6n8up+=F<^r4O6r
zEjageTz?&1;kOue!FGRT!ajYmeR)D+tkF|(^p7fi3{C70S-SoC3QS!F5nmS6f0{8c
zhv}!Ab5V>Nn5RV@yGl@lAy~w9b5H0y$8WW5By&^Y&)KW{bsvX%G5&b;ahk=v$>fb*
zUyv#N6&smyYi2r=(~SPoKgY9|eCfY->Mj0`U^Ou{HR$<}ojqbJVtM-AtGDX{2XkAf
z(;9nMQp8J_lx|L%?!3Pq?Uj?s8K8*F)X2725woGF>EMfmURsiF6XvQjf`TpudnC5j
z-5*`+6}H`-7wxiLY>QZ|h?9LG<=eb+C8U5`+~e3SJ{59ozSa3)pTT8gGBq08g<YD8
z5=n9`<4nGSKf=U*ja?q^X(!J*z4wskzqkO{(b?I~1$#EAEsd{QF&i&f?^>M%_f85y
zLxZx1A44Aw?t^2&!EUsyRTBM^oq7EEV_T6?hZs>zo<Y_UcfC*;Jj5qI_i}il=T>S!
zxr2=9c)Hm;TAKcr+gYe@So+3K{%oH)PwRS9<WX^6UWDB#3}N!LxSO>_yty}7sp_n?
z{)~`zP*MGI${I*^)GQId&8cn5K}Ux_V{STPYHVCy8mRRSvJyr4vU>^%Nhv9xI@<OC
z06;+_{rbwWKctbSmKOSu;UAfVQu^!=Qi2tOrc1wn@eYC%xv@ZG*T^sXZ;s@Ee+jWJ
zB%VC)+hxXe^IF_Zol-y0#$}c)MP;tfYSh$@24r;dl}9c-d05<55bS_Ckd%uL*5O83
z$q!Ms&r=fHO*%_*S*yu>UE!F3f*OMWf}+i{>s*ve+Rlpw+ekl1W{V7_gh6sJMa+Wl
zCB*9JZ-{@%j`!(El$+xXaJR&zpFCDGLU)Dfqa<cVtO!c-925%p>DNp+z`n7csh@Zn
z@w~t`WX_CDTIaM|RW~JRKhm<AdS3UbLPa}Pc_%pnS{#qZC#k(kQ}!ApdrBwf-u+%L
zoApoHoTn}^%E{{9AgR?U?LDW;T>?03w%zIpu&E^rzV0C7E36iZomm3sMC{L<>8%n3
zp<l&)6Z>Sb-%brRX_bEoTV*pb-DtkPm{^?BUQWFaV|8hEpngQh_3NI|82u)vFe0(%
z%h!_{H*6T1a1Wv4E?Q_e1uv4ClJbe{VWq?(i5r0zG68RZN(7sGpR*xRQDVrT0Q0Xv
zho4Tn*i{$;PmugEjX>%*5G+&+JKq>3JPi#knynRu@-ZkdFtmCAL^rhWOMn|-f_}d6
zAs6xZv0@NipOT&Yek$VrO<D)%S6(cH3jObbCX*?a%TB(3rJWIGKA^mD@O8&ef|CPn
z&LFs1@Ub#PiIK_hdte~L65en?x*n94N>%frri$b@rm5S3AfgL_jH+5%^3v#5VSPvR
zy@PWEu2@iOK+4c9JCiwsr9U9VjigJE!v+QhVAc<oi@593)Z44Cv=ZBn1FM{DNC+;w
zabuH;hQ<P^V{j=sabg9YI|`6MfWR-<^&D&r!jecyZT_<dv^Rd4nzoP-w!g4k&&ar$
zys+_GH^G7ZhYfWVlU&U2=R3sOSi|ziZC`dgj*W%&Ld}a8FR(X39)oGax7!)Ose$tf
zb~_pXpJx&<OV=IzKaeXMWD+C$8I?2q`W!%4M%@KO1gJHg)+{Iin2}UkYpJO<1K2M{
z`3e>VoWE|Levam~xv_D3YTGsDDp2DfgJgy&Ke|^ik>}^Z(6O9EsR^PIfP@;>_#xu(
zO`<~Wy`8;Wp5l?4vA3x_6|EgO#GJd9OV>OI8&oUt@f{7eTt@^bhZvt%>rhQP3GoWG
z@n42(57BI|?hgllIw8jS!KM#P2M)#o&Dlmq2J;3}=pq1MWt|itreQQBWKPnuh}=y0
zh=CS}^HF|?l`<RK73}YiHp=79ojY)L0#Xkf5v~{i23#H9ML}e$1J-iIkPGigx4_=q
z!Xh>OdGsDskpO=lO-<514V4=}b%}3JG>gIy2ZiOj+tE+=h_%g52Ah-myq>z5O-{8X
z$}C-z6JCRRJvq$hk7`$6UNxjzF`Do4i7}z2Lrb60_Y?Uad_kl3Z~rGy)w?9^=asrw
zu1HBk19P$%iLPK=2Km7m-$3t-4YR{k?_ccB1EJ~~&c?s)EQ4s_cME*_dy(d<N=myl
zC0@Yhf}fxN;K9F+K7rmM)DJ>|%MAtfC^eDPC?}1-jv?oi5%Imm7?d39YE$h=R`ZFX
z{jT#eyp?5V7s(R;zU$ZBzxFG?Pgzb9m_K47`yf(t?jZmec)g)kCsN%Z-`x>=2^4LF
zF(I1@3!Y`?&PUIlY3S$_V=z*(Ho$W)avD5ex~s0Pg#(Ed71Hea;PqBn^F@4Xd!D9U
zpr)&<D2)ggeo<JS{R^@J(|6BzGf@ElYYCF;i8$Q>5n;z68qnQoq3<k^k=z<yFXHn)
zrWyH#a(nmKJHR$KHwzop0_JFXBgYb?Z^~Mp(p3Kbkc(uB(!9oJn;U)IN3DL79Dzzy
zw$9+5```NV_y}{=be{Kr5s=b?N~(?AK3&2*Ppej9J1?j)JPmw5VJ!fgf!kPBpy1+!
z0CQbj)Cb}rRc&pq5ZPAa9TQ%-BVsD=<qU^E+=Efi1n35FAE*h^zBh+>rk-p`SL_+7
z5IW#ynzwpg-vo{~;OBwL_kSUzvkN$OFA)QiTCMe3`IfN7pxxpX{}*<|kX_%7#V#)m
zAMXRDVnv|oWOBPXnDt>q=K#b50kNLzPXZt1yvxWqg=}^|K0ZF8%&T5gf5)FRuR^N&
z`q`-{QlXj`HtKre$9F$~aZscmw#)O#$Z-avu1Qc@#}H2>N=$X<h;h89HR{a<ycbMx
z{~;d+9U+H_@R-nlgMa|F`Te?+*OXaSR(8)c+Y+aE@|{&2I7by@T!9RO8BbIybyHyg
zPAt#3W&JnEBzXv;TW)qm9X~naYUYasE@F}o4jzXdw-$v{LH!8&xp=f|l4_MBl8Gmm
z8q073VBq=lpP&zV6&FX$Q9>*n!iR{m?_^J<#NAg?&b~Yl*W9d@WSn)Ki_XW}d%Jno
zWuyjKX<SHXAX+uzl)`aNOvy@Ai4!cRB8I3C9NFStarCuq+bP8;;C;AR^lr*-8bMu)
z8Y0XF5*Zzs!1q%)jGLf>K`6W--?a-D?hj9c9)=%)k#2g^u+MP)t16`VJc*88hYtPp
znKJ-%sQ2^TMD~eUiX;0-bB#akUjZ5?;QW!LWmJ-w=zn?DLFSHqE;Gxe$-jwf$jr07
z^PXdYM%okiG9kxG;0U|w%9gd=1hbH>-eieKr;hL6H}~S?T+W0=@SFc7mNQ>ekoz?H
z5C3%;uQy3838R}5_+8<vv~sQP`e8zrVp0103N8x&x9H@OlfR8M)<l+!jSNOinZfYg
z99k!0()y)Ibm#Nm+~|5y%DgB_To(YVZLb(V;U1Yx9qpqF!p9DW+^<MEaPfuA^|?_r
zp#R^IoCn3eQEuku=4gjOd)FIY@AEaccydw%_z5^ol%U6iMdoCBWfvFzsHO2ybe8!@
zo_<8C{me;|Na^-ABMSf1r!BHh+xn3+&2tj7*M;xAR!bsA)ef{F0S7WkL|b7nYS@Rx
zgq@5O;*M-{`izTgun5%Cdntc3Qq&<eoe^_9%1!uD6%QYC4(e}xw~Et$@0&z1Yi3w=
zy~ZYSlqjPAd-*&j|M+rx@AkNReTk&$N3PWCwvE1(7ykM+vA4KSeBrC=6HNJ){~gMa
zyK?2xz%_qqKD>5zB%c-Nq%l~HLVIEc7g?m!X}crA9lbx%H%s~hQiMS?-Tw9oY<0t`
z2mWS`8b161j1Hi%PKmpAqDpP7q^?yBMyB$}xH^4nXWa~Q6~L!u9Lw`^&K&HCzLUg-
z#o`<LyA)jH_5mw`<hnIs={ez=tHxqVe%P+mK9Bj7fo)y_QhRwQnNCn&p7z-w4p&hG
zz+|j$%n?~v*vEdy`1u=}vmoctDt28)QRay1g6P?G6$wk$_JW$^ItdM6Q24N1ynOl0
z#I%Am7_onBgN%dZkt=`GOvz13O3L1T0k&`7CI(b$P)dHQt_DxL9T{pc*!<bwUtNt%
z8apeiDZD1^_N^^i=sr-OG&bHG6+UHy3IKWCPyNse`ch}USLuUBrSvFYF2&!k<f&$V
z#<dIPX;(W*ry5CG8TK`DrknCu=6uZm@5O9zj`e|yX?D_c|3)m?_Cpz34|^8DBlyFz
zQH04<2^<B(svw`7M@Zcof~jtsnPIBS%zLBMn}Qy-M^urWv$OMs3zhI#9kPAZ5e=^A
z!ljqEb$9t!bkt0%1A|X$vL9*u0<NV2Zd52}{^q#-Ja_T#hyMunY=&^6=Zcz?I5!@-
zzM+%U_ozR2WyKk~rhUh5u5)NQ*q-oX<eY9;`r2J9y_=EotAL^rl0{aB`48-fR#4Z}
ze2D%Ox=kiVMn5>adEdYPJmv%!SG1VZ41_1Q&a{wtvbe8RrK+4bvu^31A$C?8(u7Ya
z-0VcOt*oqUZEcZdjj|H>7jQh{ehWUm7srZ0*)4P3hL8p!f>c3Y6^T1hH&L>YU#^cs
z6oVn;h<U8_vl)MTMz?!6_Oj$suNU|R7&W>BZZcCOb~{st>t$|rEPwXgERyFe+xG{a
z=+-qX>jGb+%DVF$t@vrv=9Af-`WQwadA0xNPdKrGGE~?l1;l2dQn8?iD{?%67EnNY
zl09p$ok*AD=CUHY^U83-We$5(W|C`tw9+b9uJmSA;wZE=W3M#uRXz9st)Xad)wv;{
zsM9N>X-E>?N=AlkR$3hXxQ~r4X=HSf`3;50u%0R?gg#VSMO%9vWw`+bQSF|wWTKMY
zWJdKG8?y(0`UVy|uuFp;taNvjrpPsN8coSTA$R+v^3|(<5m^Lt2O3f|1r7FB6TqUz
zrJd5<0v%32On$wL%k3O#&fi^(AD!CzU<=Rrghuzsoy)R$)3IZTHVeYZtLkx{F4Kd$
zl2;5&r<H7d(!<%G@wttBi@6|{M7XzX=s5{R8kQQSsi^WGbi;K=EXaFH@1oG>K{<}Q
zywZIM>L~Udl$4pB`!2q`vXwYi7fBMG2iNM;hz^l+0ROBzx@AFQXcHFf>DO3wuExDh
zOIsxV-|pJD8=LdCJMV^)`pW{9$ULNwh+oTu`q!_cMG9T@Gdiv(GVDTwfi9Ravu|&H
z*<Cwfkf$x+5*#_ML_=_0GW1kbR1{n{HZwDWc{k|vM4|oPBo;}qKgLu{O*!e>+8M8N
zhnt>e%=S8s$DCWs<^`0<vt+88VA%vF{qx6<l~h!05$$f^8D2ebbG2W5?_}GLIis^@
z&*Ee;a9TsF2TFOi1l`b;fVvYg)apa?&P6)GgWvavL<a>{P*PESU^XQc>w7blPqU<S
zx^uXym?D|^*u^EaC=qI8*jEh-pYHCu7M3!g9O@Tb-_>d(D~)eRLNe}}r@z>@skBvd
ztZ;XmhoGYc$=0c^k|yj3JnhTDg*fktgm0URsL60oAuDrQ7QW+jpn2`5+LqZvcReL+
zT|v+AWKuhnrUTRH`Jg%k#oL%wZdC;c4WBEfBkr3!;?<H+1?gN(g|^^k|1HdpLL|w+
zn*bc+C|VE)5GIfg(1{@%TaHWCQO*MYd6$4c2f`br{rmQPo}J)M<*oAgB3>Tt?w;|S
z#YL1p1P*e?c6VC@mHZgCMcKeII6g-64*;_pAB>E*oe?h+<;PrHLsI&9aw9`iTicxR
zlmBP4nSdh;Z85{|_JOA+-G~wm81$Y!hS!%M1{{lob;ngk5C^|oKO4}Y<!PEopzH$o
zEcdem=^9uX(M2dAz5V1Fq7>!jsVFF}CN*uYw3K`^szv0m&z?$F?03ROb!Z(;)cOH}
z=2z(M9hQ5(9n<Vk=qz-~OizDAoJa(alai7mBkrs;$Q}{HJ|fW**oYi)I0o`_^6(wT
zgPJ-=Gjyiyd)B)r*bWc~+kbnIY~TcGYiq+41Ap+Ctg><gWCK0Uqg+KgY%DD1T4g~I
zVovW>P84AZgI~4nogLU@m{upfeG3!w{gUp546OK5JbT{L^Av@Ok@cuIO$I58kFbvZ
z$<ibwxjJkw;@albhtaheq3~am>-p4wCf8=F%cyeyVOW3-Bx*OJg2@0nk?Ys5qalQT
z9LPvtv@cF2LTzTK85ym`V%FO+({cQV*q<IG5=W07<>#NpF$|sn`U%_*aDPPQqX<~;
z%xx7btMq{*M89zyibVbt%6|CUqCM`}Sjc&D^zz3Upx>aP?BnSYxzst@*W6{(dztOP
z?+(DkN5J!h-|*klU9tW~Rb1pmZ_&=i!}yvh5fXp(QjRU$sS&>NG|2p$DiQuu{_hd%
zPmNspaz3rOe0|w<8;_6+a&K)<|J@rrQ`Y-2sg^n0s=d`ri(^R#t72oR=T9p66d{&z
zay*FHbY-YB`Ux4)1)88igqHC?#`2*be?NHG#q7}4QXUK}8Sv&lXJXk}8f9YZV4rEb
zc;>!`Q_p@;DS@LoF7G$laMV-(Nm?&WTT+RcTj{lD;Mr|BRj9ZwjW2pg?3f9J1;?Co
z9SJKxY8>xe64qtHxR;<q95NCJo6RppT$aT&)b;tBAs!%DLx_+6EcBh*Cf*?@i{Xk*
z!5T4HN|_i<M(Abm^HZa6xjuChjP9YoBh;BqjcwB1IJ9#TjNypfNi9x%I8xpe9rk&a
zxh^v9Y9wpV|1y4CpkeJ$S8`&*dSD}w&GvTfe}crNm#Rhl??vLUvrlT}@?znD5_R~n
z^vf%ABTdBAQlg)upF;-OpI`iYpZ;sj)gsaMCluf7hqBCbHq~rh%0D%)-tI4x@;NQg
zA41MR9V+AFoGXq1ffY<Cm6esFi+GXC=LTX`5WIMCm0S;N``=4+LqzL5Af(nsw5IqA
z&~M`dW}X^(ciu!Ro|7g{s_=S}3@#|gc0FVzh^1xaFaK;{>v3F7HbK=K9Y0>%Ts`QK
zld_@ohNGigDaZ5sv;Thl?V2aRG1x(G0ByrT#29!XsR?$k2gSu9s>9ov0xv19r+)XJ
z6)z&PRn|A^`W8Y%J4ridQTF(cU!?Zz&X-h`>oZsHM@6vyIP~NHFNho2Gvvq*OAg#|
zf`=oT2slQR!O{erP|4{E`naCP?SEERuXj+`f@pg`89~&&)v8{PTy!z>ce`n<OT4)B
zZjiz5KjgXo;qwjNsX`zh|2I0=yQCy-lYa~<<T7cufb5P&Lq-}cZbtfZ;UH1RsRMLH
zGhaF3q4i(jgWVq7<#Uz@;IiMgu-FT9?avk$IZZ;6Wnk1EwEUK&^mFO3rDg8tgkS3o
zlBaj8=M{)wfc*)w#|y!)z@6u$^B#n=tm`Z+EMRC3;SvXC_6PGAmg9F{8RlSr5FDH%
z7W(X&tTbp}zl086S_inEQd}J42kM=XJqqtYKVZMWL^xj<tpY<6yY>AAgu%nM`6vbu
zY?hFI;T7obJLtqQZI8>T*iCGWq<rH?9At=;uJMCV8{JTG>7!9k7`T?ZlDX^OFf%cF
zJ|@Y{KQ<6QJUu;8%*FUYTRS4hPxK;r8yEL+rV+)VpI?9O<6Q?8tD#*aI+Wn?%Kz;L
zk-PV#1`PFaPa#IN3y=}gp6hOB02V^|PP8NjML97s5q;$Dq9gHto*^MQU4HWOEP*9r
z#aD!5N6$Mu-AgCIwBr#F$o}xb7N9o`r3Z2a&;UzUY^!4`0W*kEl$%O(TS;;82DF#)
zRZX|&v5eXlv$D>{gu$RC!Ve-;DNiS7YFgUxFE;^C@o;lb07Ie`n<A_l!;0lH@Kl#D
z^N%g)O+I}1fD177de#U$N0P<=KzcYI2)&-g=Lh5e6W;{0t~2T)edMswb)34v?%e0Y
zfHJa*hS;;-yqONF3#N1eX*uxqAyU+GoCSo0G^}bChymNG7Nf<)J6T@-CZ-d&;qBrv
z&7O8~Zz{Z2@#A@olQQ8LNMKRBVzzJdV_8PugsHzOD2lY=b5~SVo4~m@O?YOVT9C0C
zt+#p8rk^ZF56>Lm5w;!sBwQU;R2o5X-$zex1C4IDj<f%sD?}a?!jfRL(tdj$rq4&>
z9zELmG9}vtl0*AiaF7x4QjnZ1|EeBFO>V^F-eZ0KbI74KefNJJOYhd3j-Ek@4U@Z$
z@D&dy+FXCk6saGmasrX(2jk9|HmA@3N+wDb0Sm|<g$j{ZTmsk$W)}DFZ_5@b;>F5e
zLXZNn8Fcy;f}aTV@8G%nV?8CYDSH&9yYlVmucSa$76-Oswc!FR30gmRs9n(N>vNU#
zaT<E*3!-DC{W}=gzZ~K^MV!!~=-~7lBHXyRcR%y2yrsmEbC21@*?RqNee|XX7GKaf
zcdi_H2xg&rUcZEcV5a)`nV+BE4Yx^dZo>qn#4sM+jq#kGcTFRp6A>*D@KwY>^grV9
ztp`iA(VShDM!}0p$|%92yYNf#MFj=>H*ImxkVa1jkm<{Y^E@}aOYw_X(d?3ts+#-$
zLys@C=3;%oVW}U3k}_nUNyQsp>vmmdM<(r&IAD_d6QU#EB`1ryuL;rF!DXX;i{@)C
zNy(BAA5=Q;XZ*E_X&ZyRQ%|wmA$E4ZW0I0RV~ya&_#J}?RzRRROW?taH*b7k&)eSV
z%<u;z^Yl0;L{8A$O+iQM5EOp@n(pO5KiRWigiW+Jzc+XVu7n~{I)GUiYY}7J#+fk`
zxOO5y3*RA#`n?q(K^#v^RQGX|__w|$>a5e#uN-|+6D_K)K@Fw0&*mSc_HJ=7<(r5~
z?T0^9)b~-{FDw*ecZRN;OTC&Qq|r?^M;$PJ7hBR2S$||gO3G#S5XYQT8xN_|%Q(O8
zsSJ-(7_1-A>Db?YiO$lvETDhDR)nRy@m_}DdxeC|sG*_#fj#rR*WNF5cuz@4=4PGx
zxKH=N(!)=C#!M<O^{w0t=hA&J_B5yaH}}Zg>O^8fymquh+(I>5jl%I=hgQ}G-@Z+7
zc6y_C0k|7+Y=}RSOEKf7gyGkxNJXg51g#2<9;6%{Ak1T?xb^jSU~j;>0+<B3B_t#c
z9O%W~C0<5w9`nC7{NoLVPSzXsYwV(;tNp=}nEOS6UX4s@FklP}`eEvV+ZoUY?74Vy
ze*+~e#_$qp6e~almY?##r~o-f0sHwulxclN7SxYB4(T3k7EVN{qqlPEE@6_{s|-O0
zqa#tRTi<sj{nId`cSip<_fPL^mFqz()cE~-Z;Gbqncq!S9xlWtcX8MD`#G7%aL~4X
z*FUtty4a)GUA|(w-}TPzaUV8Qg{P;(n@2S59&9xn?7OHPJGOu4FQ1TEqkmXhbrHkC
zD3<?Z1pH@=ElhqcOaC`=wjw}Hzy`>S*pBiIAHcW9KAjAeQ%}}7W%A>2j4Fi}o}0h)
zE{Mkw^ge#yF?KqXk&f;zw`du#FH_T`be1!o=oiP-Z9td3@nUhaWlkA87$)DA#_BME
zTVS{i0+amFS$mr`RmjPdm7gdj+Kw)r(_C^W;Rj6NmQEj26zvbdOJn>dsRX>6&z&Rv
zAEdnrI9B`HHY`bnl9@7;q>`bG8EZ#Kp-h?QP-Msy5)~m*C^DA@DKgJv3CUP8Wh@!W
zJkNaR(te)zIo|Jihwu2-@!!YZe{T1^?zMjF`d!y~o#%OhKGl0X*prl&p8jLbCLvR=
z#f9bd?{D@^;(y(?zRsZ2VjB?Nvrwj$xCdAs$gnmBPq4hg!(FiM&~eQmft-b}HA{^B
z*fOi*M}HdV22f<8k&I?ab2wO#p`oU3;JI-p01pHYA8n|?!NHya=eJ<Vq2oL9vm%f$
zBGoa+B5?-01@<wB*?A$5$MN<psOiJ)nS*I2<rs`p(bC~~Bp^Q6U@{zu2Hx&pX?Dqf
zVu=fZMn@qmYQBQ<^4I9yg>*nX;ZfM<U#i_Wboe1A0$jQB0nZ&c!pXVnNgAK~a}pJ9
z8?aV^ZvjnF&tgq?{iExeCyrRlxe-Xg1zb~|E2L|np@S<*kj<`My(B$K;mZjL+>8dA
zXwZ>k6p!rN{GB8tWt=Vum?SOjMvXgbx=_9QL48d81m2*VHewpdkp-u;=Y*tKYWqeX
ztBiHs90FUgZ;7Vc#?ia=Zwhg<qFu$A5bt_h!a@4)?-n+VL;_#H?og8dp75#N$difR
zt&nUW#`rI9j=y^?{&QmUMlDMG{w545iGQOcr2a2&_xG&u(-YqR<MUs1+j_4b=H>l%
zB^!%iK07N5s1c_c0ht7HfZ?6kv}Nm7kHUR7le4omF=F$=d9-~=WFFDK-q0Zx#TvYK
z&<DN>SFI^9670mPjDF89fdt>%Yy6i`bc9gBfDQThr-1Y=403@p9qtNfdD+>I{a?WJ
zfLll!hHQf`<u@%zujsm}044+Iy1q8P?hXP^)!OmBoJkt@PGpi{3K037P3cVxXtj{v
zxiz8Yw8QY;yQbmUk<1tPY^ku@z_uj%&K}#lm*hti1HdoNkX|pw_amkB01BWWDEh)r
zvd(SdwLp6O2=E2K7jjNZGnXOOA00SZm5sr88(n$$8a;;R;>OPak!<V|gR!pguNdoZ
zIk|NXuy?X<_C5bK40>0M6s+i|yA?bfkFoE7X#=c2KRWESHXUEw#p>-s8gKufck{o!
z{C{sh?#ch+p0>&FBrEV-&XIq<FX7iObDK6wLnkCjfWSG4$^$@1ZuDlhi_XroXf4Re
z0jUB|(rvrbNgov#uxL4YHny$}TIE)WcgR){|94$Lmj>;LqKy;$A1mc)A3d>T{_CPS
zKB^!)yhXN;Y3c4B^80a8((l~h?nL;2g#>Y&=)SVa1^xBRoGU0y4;;xfeov}*3C}Sc
z!-z>lFkKRcv=!`|muiwJU#)~eM>vbQ0{;F0<iHxmh`my;^^!}~Ktdt2u>`{d&E;$P
zQk<MWVZdjUW21wy7?*zFzQNiOlZ()iLHF_y{XN)1K>pkJHnrqhIt%IX<rsfT*&zTH
zI2OK!{Sfl(;`gj$lMS3S<~p-Z-*{Qcxb?iMb4W0Y&_LU|*?4_l!khW^TcwuF#%)X?
zr|B=yH7O~pH>&A;`}8d<)zpf|y^c|6SnHMifb(G`yB3Db+WshO)BF|vU5@_<e+?|W
z^!nH5pAYwTP#vvVT%G)_;%M1dE3-Lu5FCTa+QA$3%d9)giyAC3;-(n1*av}uO+0&d
zZSx-jvmW=y-P%7OfG7cIPRq$*!Bo}NDd$2af&R0QNN!$!{$YBGVutXD2*B~bFrre9
zo|&0>*DiY)TLt%lF9tovcYx{6)hGy|Uwxx~AzfSF$f&_kK~9bs3<S%X#_D?&KZ$%b
z_2k}#q2~{>*iTMSmrHRQ(7lzVB#<W@0@*KaTy!`h>vmDd<6y$p7i~{NSCkz_2i9$K
zMZ%r;Ts|fC3yo()=xK!CxjBA5zOGWQ(r!}>GlEMGilH^k7lf6oNl`soZA4iwB_(z6
zU}8qb6d*<1D%@ctEXdq<?C>&R0d0;ppz;AnDMXj|?omXZ174SHQhpbSHL?q=WNSw5
z1dQr{fgnaly~@Z?;|@cd#_j>zwQH<mPzs`%8O3zh?OXx3mZb&d3aah-k@jiKdl42D
zbs1_jLF)pgov7Lx#37i%LrHVV(lVOm@bUXoQ&X4=7OVVEDOgiTs)oY}gIa>|4i8$Q
z`$0}VH}u5}D;qox7iz{Rh5)&1Xb(~{@xv?hc|pPVrlw3}y=W^#>5`Y4n%Zq(f8;h>
zujpov4+r-hPh^~0J%6UNhe52tK3o2C7Gs`QU&~>+UfW?~?dLOS@}+sq+eV(tK`RC0
z%H%V>Cm9zA;xUHoL6QnE9DwgM2v{HwTwd`9XKS~#d)Bj-0en7;_rm<~j0u^3+%`Lh
zgc<2CcI0IJ{Hg3#L$f_#Ih+T)`_4czMF|ROqK4~InhC8o$Ccpc=Z`}{gBsXYo;h6T
zrn1fZ7{&$AG{7HoK(8F}>I8C<$@$XtVr<W#RvkHf_*hmAHtmgSu=gLzQ(G)UA|tD1
zVt0r`o`>ri8xe6Zj97Vi%&GBtPz~ZS?%-3jx(S7ok^66AyjZ-nM@~k@SFCHE$7u6<
zB4ZV@sLgYmel^CQ$MAlqee^BqA7Q&<v?v#EE)@SMnH-7r|17?E?eY7pPk*p~>$r|V
zs5EI8m6DXyo^H04kRyl_&;jn<!4O5>050Hf{wu4i*|c^>Mm^AS)6!TsULxJR**Vjd
z69bd3z}b}s=B%P_asmPZElnjLvKJkt3J4CiXxd88zyQusHh_t-u`!}x3X}YPt9tti
z(qb^mv<wVV@<aOa(00e_qC4!K={nR%bT09|8qVKBsKN?`6|!Z#rwgtaL@7%c$B3x`
zU@L&$-sav#VuA2>>X|*n3BP~;M*j(4p$bJ`_l;>~FRyjLAE-}&Iar5RrEGKY?w}f>
ziudV_(fu?p%is|GsQ-o%`$f&3-al8_9(;%L0N)DZT?uY|Tp?jZ#q$_!D+pZiSje9~
zjZGJ6yDn`do`!(eD1Qp<;B-Ut1yr+anddX6Y+K<C9L0M$tQyWaigKt2(%qTmoM5Sd
z7@A^KYM7)!PEP(tgGa`rJ?irI8*ny?wkxSNoFDCQg)j~I9avykD|9q4)58tFfgyD*
z)O0cB_&mghJ&cSNzZRQtUx0<3J68*eo3ylaz^9Im<@;jYK#ss?!g|gyD{4&k@$tC<
zY7=xiE+`Cj#4gy`jl<Xv%$W!R6GG*ZsKcJi*|y16C{5@F?QOa%;yu&?j$bK$HY-Q%
z|J?T`n&0vOw6EjE^XxQrn0RY>1wBSxP7K()4OKUVFKQvK1dQR+p_Ml_-b=&4#57#8
z;r$s}(+@_Om|->GNSIij+zVTTqiV^BR8Y@?-*p7ew1I(eUApI7Zj3NY$Ha6|Lqh|l
zhN0nF1(VT4drix^v%RH@1AAIdn0$S426kqtpp3$S0-}ag{rrsUlcp`RUI-b4%fi)!
zEnD?~)WVnz)(!0kQ~6)25rhVsFUV}$%7x^)Xr%!p&Gg9dkyuPjPC|D3rK=m8hqpJ$
zQjhAD&U?mN^XkghCeCbAdEI~GL{YiOl)#OSM<2qYMXa?zI6xVum1@{!{sX$f7zyWl
z{@R0Xvw=W59$yusjwUaC^G3<KMF@sauH%Mty5qDCSI~#U6Sy}4eAXvVn7c^PlQA3a
zMq+o6i;K|S08^Yq4DRY$k8&uRI{FO{A+e9Z@p?|RCAa4XzCC!0a&qXKV8zo?tbcFq
z>RKgSz7cRh3IS^k_7&^1sa`tbYW7*+Hvxa=I&ffi=u7$eNc3UPzEs;Nw6nWSH*0Xw
zo;iKmSGmuJ5rm1etGoZ+bo)~aTx62g7ka2KnV+Km<E~DjS6@>z40}$l1aL~McW!G9
z6e%TCH~>YMJEmYMD2>*Sxz7F@NEk8mlm;Q1PfRT0Dle?Jl$9?j_sD%5BP+&?MEHiI
z^^5i}NQblGG=UX(x*y!TM;lm?JO#rkcnRnoqf&-Ln#tB{Jg*K+z`k$~;p*$*;W1ni
zjd&Xo!9+vz-hr^>201O6ZvXLHSh5JNWMpLLVkMdtkInTOanb&kd3w*^zma#dF&`k9
z*Kgj?ZX^41;*^gb%?N2O%W-O~YT2x;ald_B85d06K9O*~0)ZsPJi5!c6n``8YOW)Q
zV|(`4xln;qh<VtaFm||c<A#-$6*4xowu$`?cPo>0ZEeln74~0fbxGLwp2UQ27Z(@Y
zhi+5+1&F^zkPn{YhFR>nvu7p2NCFWqTf*T9+g--}4_>l<$|8%aJ8EK{?x(=+M#R#(
zLtw~tE=~{XF>@RbfE*R-0b)RB<zU$Bq@;bEMn*<;YZroW74%+Z<m3b-Np4yIB?he&
z2AUlh?K}N^`@i>)7WYu$^5q_Ck8PelFFYykO7S<ACO;qbmm}^W-51#9e&)W`WDUdy
zRFJMNX|T>5J(QI0<>tC#N=S5Uw-lR%6V688-F*p7Z!kCXK%fCkf%`=8XG#Akh(>A8
zmEbvtQx+B)SVq1L=@_So7o9+Pov$y0zpg27tgz&iUKZlJWw~QqSH001#<fHj6pJ7L
z=Fq2+z~t<evZnyl0^bENg~ruYr7snko0;vW36NWgKkk10`mPJIvUi&I`-GoK(g3`j
z2wE)Yo_`eHP}!bN+uUi<ONB=?_$z5C2YJZQ8524dHoeM}>@sN;t8ub8e}IqEP?4j%
zP59>B{hX#Uh1^zHSmWuwy?ed0i}j8_HaLI25p*K#>0FPMK+gol`j|!Sla-Yl1XZEQ
zKtko&`65u@u!)$odq6{bPNEYbD_{tzqOSVK=-qcIkKqemUc@bn;th|EuDQD`U{ElF
z*xOsmz3+H5%4+Q9SjMI36DTuUaJ;ARU0W1yugZP4U4`Tv#s&jEyor!kR#ryvRcu5p
zME(swKQ_LbX(>ku57oS2)X8-6C6*8Ns!b8YIWZ^q8b5!6al%RL<0(m5Su=!^{TndK
zqii-o<+#WIDU<gw4`*QpfK>`nK*Jsxgf(6duU{bw=Tai2myS8PPEwU;KM@t}3pf~;
zhr$auHadV<?Lm)%?%jj^pYpkLMJU7wbLKmD_yXx{_@$){I76&#-9RiR1_R<B;PdD*
zYmR5->b70<1L7Lom*sv2c_T<e&MYLdR9*L?^x9lo0LN@4BZH_~&Q+iK-<zk6rMmS>
zdJpw;vbgE4?{ycu!^7SWR0n)$x#N3lE=WlogTe9K5H}CJ;-Qj4lX7yf4Cv`K^kK!=
z=+l=6=Znq)XKV0FlEq3i5gP_TML|*lcl5ghE?9_g|3e-Y6<h4cIuB=_Xn*&)ktFf*
zf-@$0tWC5F07$TmtIac@$xgXU?Ua4BV-B|$zJv%s(Pz)`wtv_#I}xno1BU63WM5v6
z$R_}&Eb%#WJVug)<qP6YX7$<cIaklhQTQgHR>cy_%n1#po%`^Km4d{4K}$oOhwzHf
zA<Q}I-{jKK|9b^a;tEt<sqUfPx@~p+z|ca#)R?kLVTTt<e(?a~Wb*lSG8>mLXbJFu
z!2NruB>U#7JLhh&1G@RCNpBhdn;~OULzNPJF2EW2wh_`jr2I%k7$|&+nDXasDjM{3
zoCFgY2}AP%<<H%e6cm`98xM@&;lr|m?VtLmP~t(Iog>&u^aKo<<sLykjk&7eh~PPm
zaxd9wqDy+hrtK)QJ><Yd(uNN&0Aho&6?FvJo|+vks!No&$vlphSaC&{o@a`FELW_3
z8Y9bcb92FTz(8+P(*%oZ7_QJ>Kq2~tZF7*&%_BUIKVwh<*kGZamiO=7`>IFvZy=*b
ztPZon>foTeZnw)>Ch5&$z}u1<5uN~RK6|fIz0rrLCJu-xC@6sZ#E#Z1QlRV{jJJfh
z#$*4W<lRRB+MW(%gi*Q}ay4=BNPig5xa&*o8Gow5(=06jmfW|%w{%~SRuVHd90$(1
zZXBYo4G+=3N=$5s7E_%*2`*K8zT-g}%-o>bEvzUOitn4mBmyIBSYI2*u2-0*YxBNK
zN;2^jljHn?;mgQbgy;J?$Z4d(euiHLxAJqVuOjIZO|;iJIN||<ucO~2H#3}CI`w;S
z7bBw!QFNPC{b9Sisb1Ai^gxIra$tEm*tb~qloY!cMn}UoXcd(O!2|R0A)DRL{!-12
zp!e@SYV2*0aCab}uK5uRTvsHI{LmsREW1j+^Oou<d-8>wL-Mz8om#*3(ON`sS+D5&
zBpeH$iU`KkskA;<piT)1hytOPj+PdB`wW;vhL-`7>k=Pr)<YxeX}&bny$GPtr=YVA
z3*+P*xMa+Xb?Ln&pQXPHZSC9C1J5HbAW88=e+|ebU`RALP`6CX&W<9~1H6Re{~E>*
zTaVV9pqhT-q@1kc{ky-6>aNVwfY<QnNBxBBNPv=$4y&VfH5Y702m@JVV009Dn-K!W
z@k3YaudbA43jSNQ#1d5tO9=;Q+a}uUNBu&mtvDrat}H-r00UHQ-ksaG9~Ka>v$BG!
z<%yVGT*%g&B$bdHg)3M6{PE+NYi|prJODhC^SAt)=N`l=6DpsVC6PRuLMctc0g5h=
z&K1n=B<#R4G6YdDz-lP*#f!Yg8Lr-1Fh|?%_w#`fqpSCC1?pFJa9<v4=RFdwTZ{xN
zfH;_p>lm*G_d#>CXLlBpM&n1z6ve;4A!#)AC0hfp25FoGOpcI^zY=MF#xK0^FHH61
z{a3Oz)YLaX;hPEmu%XJrpIWCMy46r!9eK=*+=GplmYAl_&i>9-MdRPMP4hXueFbg)
z0L8t#ZorP1@aItU5hwUO#9{LxL1zd|CfLwmg_gj5;z%WEiyMcoPxwgft7KTu=Bn`i
z`!i$j)7x)2ISCV1{lg#s<0QznAC*1WEppEv1${C-0gV#JkmVQV1vI&kYd**5Zv;?~
z=hIBJ|NfTbX>|hQLRwlHo>NG2q?boB@zvj?rsit>*H>JB1@{F^lSiI4JvsRslt#R&
zv$K<m0gg}+zJC8+9jjZs%Du47mBzqd=*1>^?G~s1Jv(nkMf2)<tU-Kw9*_c~<^Z|4
zxHv|IE&ra#dU*nw44mjMjf35xq^ins)c7RqA0Ctb``+HA+TVN$WeRE)LX(UJ?{I(r
zrHZtF|Ndmy>C8qbp(6abm7{z{h#_h?%3kp*5f()OuQlIlX;F~>{VB;zrWF;^;t^C;
z5VBaLSj8AYE2Piw>hu@mdzXSo2gOuyFlkwZwlMh`E*|zB@F3BpMs}%1RdX2|3nn#7
zNKkCNXX_lE2_TOhUoMd3F$e1Q;@M^7(|r^dCu9229|^UeudmJ#UduT&-(mCKiI)*a
z-U}Fx5oV>tpK%4!E}-s~hJOSc8rm=p9@o1nhy?{#E5_r9iHXS;2JII49J*g(Gom2}
z2Zw^f#tP~UJ-SKMyB%MZFg3qvpst<?TQ|hcJv|kn?8_UUL_)$Bjw|#ZSJPAb8!1sW
zTUY$M21(?xd`c%iP_}>oOB`js-$WZZvbip*9pRwJS!UIN{SX|hIB4$g7P*2GE7(Ft
zx`_r<2Vof*L%SW|{(d1Q@5rG5HH4a?TaY&37anLt9vpZ*sF041j)*CD69B+q{eU6A
zjLZxVEznl5`i~*fqg|a6icAjW!xBJF0mGt&Dh{vfZf+GHKjIap$i)hVDIxP41waMp
zro^G|t{mr&<NO%mk(3x0b<B+5kMeFWr{X?s>&(cvzm*jC30uqw4B!slx$#hy9l*BZ
z3e<?dIH<E-GHaaHwK(QmzJ?sh0T&uB>2sVO_b+H2oRCA@=3rt<)O=b^2ErZT$0bKk
zL*oF`xMHCYOAGj-h^spWhLDvM72N>8d84b0L=n6SRCJE4OuKi31@Z+l$)vLw0)$*m
zGxi>UM_|))60qlxlq|$!c~?b?mr)Fg6VENA?-e*ag)Qq@r#~FMlN6%IR{3wMW8&-U
z7n)W14b+aUTrb*bb#+fit2(Z?)pVt1T1)W`w|q8UJdQXE=t@djy12L)J~H#;J*m0i
zG#Qzi{saUKLz_a7v6xdGVR3~M-9}A~aD_1}K-Mg<u;KS1$H^jo%^Vqh!3%wUrT{tQ
zggu#-s;ETIaU(8$PcxAPE`Tl%9t9CfI*7tn5ZIxeRM*h~egf~q>FMc>X(<p}i~+x^
zqb#R-C2#AjNO0wFL{&Ou@kG?DcNyQ(V|e87@NMQ*^7#{$!EAVpVaDyzTed081(HlY
z!mQ(V3NLsm62%pS+6c&{s>~wl<(EjD<avrPj|=uS0al=-z+uH?4@$qxjEwJDm(?{i
zJ_div!mD1tw!+4Trnqre{p#u}-2L%WQO+gQ<c`;_2_Nx7zXFI;9bld<<m9v=etrs=
zj)S-c;cCF4BS&hAj@BAq`K4v~fq4Oj|M!ZA5Ox493+GPE6Vq;Bm`5Dm<^6`wg>s`0
zIi^O5#ts;=?@c>PF!hOv%4j$^K@bL<H@V|R7ziN175|YVBqxCt(1&&B+Qq}$f5#3H
z$xxz$GBrQXfid9&E`K3Af+~(=)@?K!#!zV9gx|A1vw_?>W7CJGMN7J%sHlj5Ffeic
z;{3(jtzjRIVoLK8vKj<|tF7<4knbP`*U-{}nMNLpf1Lx@&OUiqM#vLJDzF*pkfwHj
z;Gq4xE82^*DirchM9GXK_FUGWrkKukmh*}Nj|aW-zW`ecDwpZ@ODI&}h{MavD=w~c
zh#nYQSBa+wpgwGsIqfE$rC#y=GdW)|K4=4F>%W#?SXeme-X^pS{0Hs_hyF#{qNdw)
zj!<z*KsD^xAbrumfDMdSX6DywNy!ZP2O42mLL5)Gm#+WAuu_@psNb|>RtuoX3?zCq
zUqFoOza}1Upe;59`IEmK=d<&Wn#u`w2F4w1;Wr=(kQRc*1Q-z+ch~g;e$*V{id>|(
z_U_yFUNIfPg>X&VBbp47GC#j9I#Mk=?tp=zf@=wWHXaB!w?#BmP27Hk3q9KsH!Ht4
z0hiM1>fe=YRjKsm+#&rH@BJC-0`8nZMq5yZ{e_*R%_^z-d;xl0`}6HEr_$N8W_ked
z!+CY4kW|LO!4CwFBIY*X1vH<)LB{I%Gm7Rk3jPu2OP5}T?8ZXTo&bdkT#$k-NVi@^
zvLhZYfuC>_@SsR^6CbrKpP=A1>@~=4J&$MZ&*h|}U4XjwO*J2`S+EG|3UH)!R#k7E
z>>VBLIvmA=#rl^EfEo!wcdciAHNLboj{QDb(@;oDBE80U1}z;)8Z|Y}W%=PgS)hk+
z<_`f+Gp%F7`2YpV{Q^q0_w>WbD;=VVY5iD#a9=8qFuLhB`LhBZaxyZNS}!fVO4*5`
zkliEbD#7Q0lNW-4>N~yM`Vlf2h{EAdi#iZMDXes+k%#)fM*PIXoBTVPXm>vAf`8S2
zhe!<`SK$o#*4i2o5n&0|Gy3DuFtkv}HX%R#)?P?+gEN=Y38H;(3q@W=?6x>CM?#4^
zY!wJ}4-^G>9fI*o9Wden3adOhivG$D*sHyJ^JZ#xR+Hy3pkair8+hcPFitV-(NuSF
z5%q9DI{#Ab@&k2bGJX^j8JhnEnrbJy2QQxJ^Y`RA?7u8rDl`&rV^h?A%%-a#8%Yij
z5p=WwieNF~!XlnFAa|^#81f8Kfi(CUuu>E%+bAh(>gz2s3y0AoC`8o?DuKD64w4O+
z!^05=tb^p{W1S;Mv(nspg8EqU8TLUY?`;8Y;6Hd8@jn6sLPYFw8)Q>eZNNe#Oz|??
zAa`jXD(L<xB*_9`6JjnOicEau0#fK6&v`;hvyS;xxV>NAte{NA38O$aP0ve6xa}-Q
zM&dod$NkMmX42rpNUK*IkRQ~C+zE(mkCcDCYDKsNUR+q{0qy<39DL~kS;Ki!RI=C&
z$uq_a<)b%-Jq;!qgmFC{MF8f1-d(|?Uf_|=dL4Bpt__MfP;n^Z&9KE2ufatDUlV^E
z?)U6%_3xqDz|K>|9`ZC2<1|o@@LKC(PO`@QQ%QKaVm12@!Cuoa!~6^~!qW*S6vBbq
zQbQ{bsu|X#t*xyt1KjZA{gDq<-3^T_n1O60FJZ5p`->f^p*KzcT(+rj(nI-FOQ$Mz
z0qu?1EM2<jBo+P$zq@xSgn?kD<+xHNW}qt9&9eIP@@xbor0Bn+tA`3KEIwXU4tEM#
z_9mXx^M?rMHfYe(Sn~i;a<kdOia^c@W1vzF|5V;lPQ@s1E6N2*xG|kT(FBAkxa3S|
z$PmOyz^J%|0y-H!#nI^cJ$!f`&PUm;P%@yNfEh1eu_n+CVpBmQj_^GO6%ioh*}9iT
z_tmNYm~F?H?G^N@l;zNS@WL-=#yIIIh+zn<tjYNocpkH#xEbS*S#|9r#{tkwC6*(Y
zMa+GmBMq68HIS~Hq4ke8d{MhZM*5GuJULB@e!kjjmah8c%ZELNFr1M9uR;ml4xB@E
z#E!OH_Cju>+rdC_8XR9NLhYR^P{}^gbp(^<ZB;0CPq$wdLMF7507q*cKxk&|b^w%1
z9z>uyEI!N##BEw$TDr!X%HT9hIPYPk#@@$D*vp~OM>T?0(oGb3UaP}K1^0gyWbK5}
zwOfGPDY?5DuCl0#)r^cdSXnz^+;Hn8QK=(pq2ze^;>8mUkVo=jUK>Y!H%c2IOB7sb
z<=uCe)<$wi{xL*3xI3*Ovt;7ceu^QaJN7(Mx&+FGgF`wjLR$)1tDJ`#e_#)VNX@c%
zGQ||GyBOVh&DGTl8VKRsn*J#;9!5L!n?_il^c|n$EkVQflnEVQ(_JKO{ULfEd>9ub
ztkb$85h>|FRCh-3hKs=p5)We30*VB&!Z&bc&A?19JPm|CGT(6!TQy4To2aW}VpwGg
z-zL7YWE<RQNtvd%eUq_EUcUi%?da&}^M_ak&9^;ck|sGBIH_^a{m7YJzfuPIsA-BP
zeD<c47AurmSAY7nYa1CJfJRROdy^BsxpKV=EkrWX_aNv5SRv@?N`H0xTwh;bTU+G0
zEZVV(G6=HRwT(H2pfoq?w^h7g&3pRP7$qNa*^927VKx0&G|%Pln;t2LXK>+w?>};&
zszP{;YVD_6aBy9B^$W&@!8i|<@i}aG*ex<!v6W)r;>_e^5{7i}@Tkpq`rp3~%5Lsa
zXfEu<5#|hwuBZF?ZC$oBHhy|Q6WYnQeo07O*CQ?C+L5DUwgqek&CIJXmI)VTPIKUg
zABV+usb$(-=r<(J8jj*l0chRFIZG237AAJ}J3%K#+lN`#5#p4nF!rmLe^1|zznSRh
zdi>0e!<zKJlpo~KNX_p0tvoWCj2aJl0P>f@mN{%@APLic!Pc~6RPw)~Q+_+>;Ck}s
zU>AsLaxXM^WKW%H3rFHG`}2>S6E5&yN3*6b;)vbxhKa%#eNCK3lT;&GuY}@V4*eyY
zmtuU_^UTUO5jsm&j9ipH!W0OAD(}^+yL_AW(*__%NNC<3?8PiM16&p1V{-hUt=g{~
z<5Q%i)~)<q_Yo*r#B5`tqdUMk1O==a{iixtLO`&HZ3y`yTvoI(2n1&2y!V;lv!sNy
zUcw`{5d`1ncF88R&_EtWiF`5F-qv=EV4Q+_qN$~ou{I4J9#U45E!v3?Z#1<mn$(SB
z&%)fR%^kEXEQ=sX7(y2eAe)H9y4&D^QFZ=C(49RUJ9PeM>}r2X9hL>Ub~s-+L$jUj
z#nw6&GxvuN@Ka-F+@nXrXzSy8V`ahRSBv;IAd{zP-f`ED-p~>kgjiX8BTf|+u!@Qb
z>Trxj#dCYZ(-T}an4vyJs{>54a^2-A>WxZ|lACLy09o#&*ZRB{GArVjU<^1>O3gIN
zVx3|ahRy{SKnDJJ9XY{I9@3DIu)cuZOUoN2*LrQy;+Ssd@0jA*?y`|Iu|cW6XOE;s
zE%WTxR8U9dUd*ee?o)a>g@RUYW~NEi+E!IX1y^JWx7g5QR3u&7=EGqG)F)>%f9st^
zwTr~Jr4ki*CjU$&SP|OO@gN?p45t1@8EIj`9UqF!Z{_Xm+#JF(ED-xr*vV<I{&84e
zMPBsk*%S&`O2z{d;9z*csR7F28H@2NxN;`N$7N8=0+-df233<iAFpZ-g`M4KaDYwa
z?&7|gxSLCtoy`gjlb4OqJ5x*g)gHKpz7qJzPL7TklJ&Kd9av{%q|U{Q7>zoK4Q48d
zz%a_FP%cNr#wrt@9@ZILN6da5##PEXS&*N5M)_wr>b|X#tb3a3x9;&w)Zjsp5&M)N
zl_Y0#sJG**dn@ZaD$6wSyFtDy!-B5(Ee$EjNy?7}QN#T4@Tk4IOxB3>r?K%o=hxT)
zg;bDSM9toomU^Y_6cy*to9TXK0@&f?S&Iv#4J9{YAt0#^#bs2F0PosZJwd<ZhK{3|
zvht1wksrK+0|TOHWpToBuOr>euUn9{3V>4*au$E^&Ve<irj8?XE@_=achtw%*MZef
zo~Uxt*Z{DA2~GC}`x*Xi`9d2FeH1vqOII224VLD|HymwOK^SifM--!$S$O*F*?Ze#
zQozM*?sWmJ;MY#;Mcr$oyqgo<BX}n-cJ!>}pwXTaa%li-)Wy}cHAQLfuC&O}o$OLp
z-QNinB8hT_6>TBF>HdKMg1Lmp9~Bc4#Ad!}=oMl37?L79kz2Z27m8i^WM)Wc=oAwE
z@JEk|P^_V=%+AgZi4#^3ny`ytACEFtqN*?d@Bv#30s@XBv;kmzfMwBaT?U##RYSu#
z$fP#ko`h@}jCUJ|M8=CxW}>GbTD`LkXJot&*8(Mu1ClUeVk3rGZM2DPkd>hQ4HN-6
z?}ZCr2;GH0;Ot|jAF%|JX)y94PYUY?XaWY~@uR2%49ms!3n57L?Ae-zhFnW#)LDFd
zSFv{h-++41=5KA0m}m)+7`w+vI+mOaFs_-Nfq9i!38a0@Zy+%(!cK}i-T}kZjhZxV
z%PrrxZD>}3LP%7dm4TQLM<iN+4Z~S$SU&zQaUHb!F`2BGjg8VfFx`quiYB1qCpH@k
zShK>imNUe~qolBK8I2jpak2k?qsnk4ZW0cK^w*Td-$6z|LZ(_{o`G~1H{n}z^Wwq+
ze1l$L(LZtf5ANu-mNUI90s^URZQ4h)h-*q5K`#ydrP`5{?R@wzfJ2f;LS%g#2S3U7
ze<^0(lqX65gXc>6e|qUIaS4*vX#i{>nY8^Uc!<*AxC9x=MPIURb6h^czU%q(zn|kB
zzQtfjc|ZNndsx{xyf;7H(rpd~A(ox96TMbbV`G^^j5e=})82PV{1I@SpbbIvQS>o7
zB!nTcA&S4S+=fo-YXTBF^=vOEm_kyP!qim`nDD{NSeTzLF2Q*5z+)xxV7hH&-QC^6
z!4-tU6zG<nogISckhXrP(n}zHa_H;;mttcJev2ihafn`Y^>hhvdl)&{Ts(17=<bbj
zbDVe#B)89>r=exJo0!VFs~4aB7(INYmvX-b2mQt=EFixn+^{Am9dOET3JRj66=6GY
zYV9)nhW*En@$m;+&k(PI5zMJ)M==uMOM2cL$Ue|G1>06CK<EMBh2&%|PHJjuFE1|z
zzrHv4)$ZN9ZI%M{H8gz4*vq6ArvF|(lHUL0Ey3Ljj@WNiOC$UrAh7x&2K}oH7iYH~
zW}VP<L2M+wb#m{nAa-e8yG?UrXe3cJPkd3}NEgIjdrU)~GlZ~XO3Cdennj?^o!oo0
zWGwU?H-b$A8epWPqy)r+$zJu6<EW@P3J$<jA{&iAbVjjmL4HSdf`{D_mf1EuN_;?u
zfEX(SH4hG+!!b1l_Z>gPG0<(-wVCg-oZC@ZK*n0t{^Mw!JSYLk+|LRW{~9`(T=^rj
z@vZv&vzW8>D?vI#DWsW=dfV{N&j0cc@&A22EuL{8%>Z8z`?FmKTg9t957$Rbs;}<_
zD(*YT2|~xS(awT78W;DVk!-48kYs@>Rb>dCVpT=OWd>tPHTM4ii~(?<7~P)$wGJ|k
zp;Zb{>4-*O9Up2on@L>*fD@>5^6h_+(g33)CnM`D@r>@v1Fr!axyx{ivOxwK7nr5@
zM*}Mo(@Zj3QCR|1!KsNkWtgTvN%5(xp9D?ft2@biqRB-c)cm7i^KnXHFv;;mWU41U
zIx!ltUMliNuXHuCn2x5(VczyguxD!9y4{<I??SBM&e0*l#14&J8({~_9AOyYvQ@9P
zp+Vr-F$bW?L>&$IC#aR+0D_Z<vGaq!egSp^_?P+O1s8BK(1Fp$d-m)f12z7LK)D1U
zY2)pgi3tg(xWkaGAXH+U_zQ^PP*X+u2EZHsCS1Azhhw=usy0VI3&}TVrL0wu?93yJ
zAMiC{54)W%!8OsVs0bfa0<Ax!GIC+f{c~gCo3GJRt9uk}OH=cZ-p)=<fh{0y-|Kxw
z62(`zKalqK?!Bpcxhi()KxPn67BEx;G5T^xPD%&`Y}oCI1}18kS)f2|mFU*tp}~3s
zGcbL>An*o09-i;WQD8@g#<c&Zo*pmM?1<3&6VO1FK6p?ea|(pzLCj7a0lk7Co4H-T
z{;{HBw5w1|P%zXVrClv$xzx&?^eqwRdI2tDv(7<6i@Og~09>kT-(Fv+bR}4*ki`?@
z+>qZAquSv;avGJIXTp}XhYcIIut|-<K+QnfvWV*9g;&R8&5D8;;QgM#KZXRn@5J$f
zSFeb18*;*U516WPe%}CH)4BdT#Fh37BGR`#Xv1}6TPNzBK_?D-V*sR5Y1RAP-Q3dS
z<}e=*S6&gFw`iHCfS7Sg*pD1h9Kuvvc}FFqzTmABSOs7|<{%tnAJUZ8{&1ZzY?1`&
ziaQLL6sY{T<kw**4p~vIY?kr1uY?$%#GWl?YUF}UzlN`6-gh27h3BHU|7a(GKZ>XR
z@gP4gaG26dU=7F|u@+EV0VY8j5$@x#zUImKwL^)6f#I|q*a&bFDj2_FB0InOe@AXq
z|9d0a`|cCh8B3a|PbWX1S%>8FBF|%@2@Gv5CR)!TGpekrA}or`%{4UJ$1hR}vwZFj
zY2LUQbU();95m<M7&MbK#8TUi$CSc21-=O$a>7Wv<B|>!%gdO2AcNf`fC-ft#k(F~
zravx)4UZ1oKvRYD|1S^m$?hP&Jaf``jGF{u2C7d26Ghvvk`gUR1O5oOFPw{)iB+Z@
zLkAmUljY>)VFH7OTl)d?qnoa6;NbS6`W4c97;*?ITN}wZmamx30(20-05~~Y+zeNL
zBJ^GAs4IW<J{9R-eSJ$O|6?U!u{DOn2AnD>SZ_du<Q`!cqoaGS*Nb+mO;;g^8lZQ=
zrLrGcos9d;YhdCG<>v!~f;v&<Vu7}w(CN8}2by>u7C}cr{y|5Klt1@0J>iZb7hzfR
zyVQ)Uto~ub#+A1Iu{)Z*U^zlQvX1mi`G27Siiwj)|9@ryY8kbheRduyxp!%4M<paA
zgoM=XSkko-ZkJ!bK9sIq%hT}rGrY{Q7|I)kFMXzW*_(MM-Pa<n3>3WR)$177b0H<S
zjde3^zzZmdH-+4~@M$9Y(SECsnnd$AZO^T?Dxa^0C8CsarJylYe*6d@P+|tG{Jo^A
zg16B<EOV-&qTM6R==cylL2P|sx+Ba3mhkiQL!?xY{?p#mV>BN8KVzoTU;lTQ=^<+u
zW?l5)Onw=}z1KDnQtfT;-5R3!qWQ-ye>C8PYrMPmj%IP{pCg{X<y}61B1O7(nY>PC
zXtnu=i<Zx@=!rj&Id##HXhUSOj}^IqjRGo->HzntsJIvn&GwO*f!~eK$^qek>Poag
z!M`DptJNhuJ<3>Z4CfP#|E~#o#oTw&B|?;~UGuPhH~~sGkDO>g^Aj{Cq*mZ>b+N&z
z_qpqC`NvAlZEdeznV2x=^muUQIE&lFVO;SMqdwC1q*Kp~1<;RktKV&!AHT9zaJR0{
z_SbPBnqm(e9k$JS9s>L8#F#gA&WsA?sG2>eyfJnBpv#WYHL;gEChDxf=6*1>OZ^ea
z!o=}0+06DIHT$glL}U_k(P!8~@!@%1Mu#%f>@LdZ*DpP55dk9)o`MNapY~#L8|K(V
zb_*tl!SsY0tt|~>><kuFyXffwor228c-a=6kpnb{gTMLN63-tZEalOd3omvZZmD}w
zexFSeV122y<3NzoOInKcD>0%XRBw;c2RVyOlf`*b(*?}Lzrvb0$8Bw8)#y1)$Up%J
zIpqRL<e{gKv2M+0ER6lq-cq#m_UMU4w;7()9D}1R2O?@l!^*4;WLpcA3hHy_EGLi9
zQ#dnHSTrr)B463(k;_`;P&c0XA{O8K8qZ^j`Dea1?wi_`$F6Nh@vuboc-%lipDv_O
zTIQit@d#Zg_pOr;F-r^_B2<L+Q6gt^Pogo3AshY#&7j~g5?>wx0i+Gr5v372l9`#U
zS<orZYH@*CZd6nOh7N@n6LTV7wbYIsi0j$6!`Fn5dy83)MYnHvdHEeGBe}WL_m!2Y
zU5wS{cJghqg_#P8{l432F1G2adj$56G}eu#ugwK0T>Q(z19I{I0yG^WgRyF}?Rw(+
z@&H8W9eaU375LDfK}`k&vayptq6Q0@x4K(AczFXjCTg{eijMQlEv9Nm!>tDRCQ3?5
z<TUj3Y8+y;?6Q#B!{3|#dH*v%cEan!IkzEFs0z0Ad-s-!PD*%d@bn+Auc~?^E?!#|
zSy0~IvbO!cO4t1~_!~&uOwY~b%qGytIen9D5OG?2YtF17XQ{V*!lASUxY;MEcw>Du
z0X@`y4-Q&3m9o?^S2;kF3h3po#MOU@?x}X-KWlf${|P+x3?qN1=jRoe+^1h_@QB_}
z<DzXJE>sr!D8J?V3{#}$7{*c+%C-e}Ja-^XkNBCm`a<$>@%f=Ss}s30cLG=!k6<F%
ze{%LJ1gDXV4PX60zl{uCD(G~6025~9*SD$^yN9tlfPo(%bwko~>e&S15iuO^VEm0!
za)3#PzGuHBn&m`7j9)F9kAvud?HYCPSw%%-^=LF+{<qA%DRBjCy#*F)B1B`G@Vf@0
zk$u+<t$;KpXl)84mlhXiM>{Us#Udqk`P4Kbe~2Dpgyono=fkF5nVyb`+NJK1^;$Q)
zSaeXtviFEp|FU^XCqu)BGq2Y_-jm~GT9x@_pM20#XxYb=USBpdeP1VM$TroVwdLO}
z{1p$;|CABlGyMEY6XhrN#|2||cz(!AOMQ3NGCX{~t3*lUag5r&i5<IgejmD#m%I18
z$AHc9a980xwlt8=-epS*2#f<ekrRe{k?gVxigY~TfK=fW00liaXMkJ+dqn-%4v<1=
zX+Pv3|4U-JcrXE16r=&dIuOwmhfT(242%R##;#kcZZjJ=2mk@(G%yj(s&Q`@!M6(!
z33+dLg#I4bUupI01f`D=s-(0Y*APWwFgE&5b)JiU|HuJe#9SE0^)no(bN)oRks=@J
zA06d;tc2cI%o7ZZZ2`$T;5AxefID~I+gT<oKM>PEBfPW!dfm<;uA^Quc*^pQs@mno
zZSHd4>Ey(^giT-pMtF_86>49l4g(BHH7uqYWoBcGefZEGOisL4I+-B^lJ%EUyQg~J
zZ>}3fCXHs&r<$5V=n^sHA{$z~=eRDqBCiu;kj;agCq`QrRDg#QG=Tc*>cfW)fpOq5
z(R(X3)eg~ue8+BL?iD^(+uCT&<jMPQ#>pyAOI-N>AU#_H6zg;92Qv8?Mo^yxz&#|U
zm^uAcn{||dkOJTk$Y%uGMfdF9-4XDaii%qLdR9P(JwMD?nmxMdDTyS~$dM$Bgo{rZ
zRJRiR?fi_@a6CWn{7U^RqNt{)Mo~>!<hC*A-M6&#M6}eF+VdAKyf0|%tIlf&T?ZQ<
zC{<rb?Lc-!595p+;3=tAH*y2y$8aA*eUA||yZ@GnS0DROJUxAR&5Iow<U!hicZS6n
z#C>IM%SG-mPh`#LIHIb`iT2r5RuH8g=Ikf|<QhkzLpA>lY9k0qc6-#h-+is|2Ce=y
zJ{U4Y0vs%`zkYoIQk;B1umCiGupUPRg>o5iU3s|~a#$-j@`y5_KIi=48C`wpn;UN$
zeXW|zP`ctZ_iQ+1(kZ#*J6V~5ZllgvM?Axh4Qdy<XR2q;e3A5I^FHgi#>!kbzVW96
z4qyQtIz;$1bB}&S8iU4c$02r-=qoBLc431*SE%=HypHwd;)7dTtuE_J|8SjM*nnPa
z$hJ#)XYTpzc3kgymYcY!pyS3X&+fgo)qc~fS0(S_cnaNDHhz}lO~y`gt~_HneD2)F
z-<JIVFm${yyxpj)xsR}*AW4&mhygufA*~{4EXpnW%<LWkoeLL!py$xnXLiAU<8A78
z>-KJni3$^wlXUw_@2K0p@sqC$;!gj;1(>{REh+Fe*lB|)S9YtBl)CrLNQ}xJ3Dykv
zjdxiFz|kAJkXWafws9^|TLEGzJBH@iZWUw?r6b>97&flpYcvWdG+K4v9t`Kmt-fQr
zV?+7v&A4s5)Nv7K#!>sbACCXnFVXS6C+NHWYt8tE5|t^l4O*a8<xxuMJQBTR%kEz^
z*@nyl7KZ(mJ%ZQJj@iw<BPVzI0kQ9qJU#snrPOf&OY3hUv=3PBPgEZHOO9;3O~#&F
z?ZT2I?Pw5Jm2r8x@PJ<$CsoeIb+Tty?0x?^`SAyFOCBq(H~Q&i1q^?=h*qaaskO=-
zJM;QyJ2b)+(#@~97kjXzHm0+zov**MI#|ZM@%6p`A*HVWbV28>Z<UBgrDR7+hVA1c
zm(>mosc-z+ct74>BI~Q@p8gn>P*w>qAFXdI^&2o?*=Z9Nar<LAdT(oAMZW33x@-}X
zUEo-9;3C!P;Kr4VA=B-BPZ2~lnxmxouHuZ!`!gRl-jl={pBbLvm0%UPU&3*^u>bMi
z$c-;!MgFkt&W`Lh&5vw1IaTsr{6!G8afP*g1{193PQ2S}-SnpE-sAn-|GvH&ug|pC
za4ep7jk8=xts09t`}wW-nZMtRe`{vroyF@GrZ+79$(2>JJVZsAX*xXibwuZq=?&sU
zyu-I|mwHlN(4J%=(Q00|vwAga=jZ7eXIYV~{YNg}@O6_pXe)Kpynf@P-%%P2y=Pyr
zToz>$8m}!LTl{ues@QT}N953vCaQ*N*$slHJzDth$^OuPNmp;mKR=epa3!p+PjqM1
zO@$xjZk!tz#eVzHDe3|H6x%l49i@!q<84{$b}JUO>s6UzB@AATim=hg!Ry0#y|;#O
zIN^6nPk}F6oY?oJf_BBT!)W*6=v`?fwG;F`b-~DJeCSZJe3HgB*4AGvZ1YR;meM)-
zq_3n^J|o^gN~(PwJ|Dca<I!rv31H?p0)}j?y<$VX*!xQ(Y9tzJvVOKMeR-l$o!;0G
zaL91#RZHO?3BDq&0){`POn!ZN7IV>;EP0yaPrQPT_}MO1i@Nt15&}BzYz3Kmy7i|)
zI|}9m4W5A40DboEIxfK&@nUTiWpN&L-K+D5Y*qt18yipVhFx|q_4cC6$AhhHY?4z_
zoSpV+RrUp~9h8(FJ20YYc(se!{c&{B*{}=4+|5CJKU-hAY3?{}YEl=j@%EiukLr5r
z6~0of$~zjZ0<gTimVaO?DJOEz;GOTYA)9zbdFukEjFgs!x@f^aU}%?q+^J_}o>u#!
z4NuOsQXnX?JS>Zr-@EI&hlih!&vA)eZ&BS`NYa3%rTpii(ZLZ;ruW9wSFI}qfWoRJ
zb+gXeSg&(4`3aTdIZ<RQN{`xc-`Mg_N9Jm4nir#!ewe<r!n8rk6r<5wZj}>=$EXII
znwqMrsxmfb>m!{@KBx#47P=MB%N@?}Jbr`U_w@9j<3F%q&jaTupuLCa$+vEm1hkC$
zMjII+D{Ig@;Q`PWaL5sm^tfG}!XTfLfq?;lX=Sevz(@XyT&K86jRjZSNQA_vhc3xj
zzY%v_snj|CI&SpwXuL@!jdQLT%N^gEzKtd1y_@#B)$Pgbs!^7JCc&?#V+<0W#rTbR
zxoitsr&f$@hz_yS>lZy_)xSYmz^ba-gFmp1xq92ZSRwsaW4Kd|rAN|=Op|BL_2?qo
z%u=?fmPwzDC;ucJi0_|t*<Qp(_D{x7q|Z<A$(&%S`@r37V|eCmC;36oF22-_;PsS6
zmXvy_ol_`R)+0HV<Isdu4BuCSwXE;8v!bO!^4*+t9IOu?-|T$1_V=C3?j4=qKV)(x
z&cctTE9dO55jwBTL=P6_f;Tpd?wl)oiPcX+b&67|EkJX(M(h<+x9O<oY+qj_+e(Rb
zSJo$bds-PD_=|gz9JRW&^{U0Mv&y2TddKX<oOt{EPVSMMRH@gz8Nc0n%~pQ3<xh=w
z(8k7aQh;m1m~ACY%+E<Dx8ffiU%>x7k7+|dEq$kL{Ne@Ql-mA-{jXo$)LXGXR{Qt*
zBK9!K>ck)T9cCNL-EVfo#dS(lZ`m)=LoRHoGP-M<ow#f(h4|kX29B#h@aKmq*Y&M6
zFTG}$ts57;G<$lW`R+CLKkK~I8}Xln*N=>S%{1`v&miH~Q5T}SyGA3A6<E1ksr=^D
zzQ!`*JFRcXRJ^cp30iLR&rBRVSR0(o9$K&`XL7AgxjrmWuNP1ETlp)bb;eW%$JSPV
zqzH;`>Vho^4x3GU6UL<KP2$m_ucLDL*&6yg&%J56)h^lRLv2)R|FyNaTClF~?{-{!
zhw=K}3}r*}rUN~E;yxjFo%TClxtg06qVu*+Ka(djbx#8uU!+W<uE;PC*3VqY#yRnk
zVO89B_E3;?G_sZn?4a(KQdxL1eb)TNH9ezU9R`leE5fmhaT{lob{HHs35KCdvl5G9
z-QR85o!1oXGK`AvyC0euX=un44csr7c&e`YPhI`n6iHzM4I+7(j~$IW(|PIF!<lnJ
zu>%|dffk|lX~&InyzaUucx;?Q?`DIcTc#YJ&{Rm)e#Wxn4Wr9F(X7J$&A&(6naXVW
z+U8OlAKI)3{rV#=D-Q7|McCc<(GK}M0@?c$o>q-LVdNy<#=8kQfl8I`{uqOIZk<J}
z-JdRhw@l7sF&WM&?r^7-3@_d|p*&$M8qYu3Ey_I9T9&g1Nps3}|A@~s8vdK543}#f
zUisUSC9%K2yqQ|mM2&XHC$LTYp3u3$$`gZPc4HFD)Se2{lEjA!Q)BO#&9k~Two9~F
ztL06Ms*+s=-9IuLy)%9a>^|HJxu4%KUF$178y^^ZjqJ4i=R&8u4TEZFf}#@2(T38~
zQ9XRyxBr&dc(*-R{R&^t)n4bm%pV)0=iBmq7DKQS(vte`n~x_xzo<8_9rSF3O-Gt|
zbsi@mcBN}%_dWSt5>D*-F`MWpS~t=ByySk+Y7389<w=KVe#*ft>-zrF$!V8YbsrM*
z)k(Z-u#fM29{nUTi>vS%Yj;shJC&#sFCH(Jq|Og_B<#O<ysb5`RP#~%LfrJHk$Cw#
zACb~&%P!$KOU*xAO+hYp;l-KjdLdfB?%uwz=xNdY?5bFFtaAL}z2zG_eCzEqBV}s5
z6@rKJMFclRKRev{Ep|{uL_C^JM`ZK2p!@6oo|*A`hsLajo{oH8N%RPrd=pe<)70FR
zeB70-;q1L%tR!W+aiK;()kl1m&2oYfl#l`LG`^x>I~bW4?A2{sv}iEC*R8I_?s1Rh
zD~q+t!h=>7#=qp+o+<ARcsjLQtGkE>^~UW!iUe0%&dzm`n=<<Sd6z5ZqLP#ktbCLQ
zoyD@_xcwNIl|G0Z5e^mAlj)KU58n8bGzwhTpmV#WZMp7Ty>{xl5P7xUfqktha$+^j
zogaieT0IVD6>Oe(CL<ir*37nbCOBSfzejEwP4~AEwsxXSBgwlraDx0Muv1VwQ@V3$
z>F6LXSC*`5iW!>wEE-DHk+2v$`0T#ihr!?8A?f|$BMB^-%2n}u0{kkBtG{H2&i!5N
zQF>WxmleTsNAL5&g9j2vGi3#3`(L{J^PnqzkY?kNtZiJOyAD-4+H04ue(NG-6cpSN
z>!vx`8PZ_ma+kS1FuQIpzwJzH*W`n$Z&^kH;ndOJ+zf{slY>I8Q(YP#X&m|aYuj$z
z{NKtInXAzfTceLTW$t4jZlm|Wo0nV@AQ5@M0FjODbf&4FsG7?*^@!j;^~4s&Bm5$k
zYFRgSmu0RB`OLTm_6ZI~p29<&HZUHw{_XRRS^0N*wHoz8mive+;;sIk8M3Q0)0OR6
z(?u55+|=ggqY_>Bqhy~qr#kyJozP4iLQdiG%fi)2Os#Y&h1;w*|4*Uqv5x+>osoNY
z5pPinmw;_#Xj@J+Uo=98*UACG{7$-XUPFb-D}I9ksrsC?OpbhKNy^uk`2?yC4vT&(
z><*H(W>=YZxD%p4Ez0&ab<0L*&pHIgyiuC*``cS6F~(qgNV{y4t`gG{SXK}?6{5L^
zh8kdxQM?QTW)#1vsq_>q2s^zMvX}9_&r4&eW{hW!Q}Fm&es#s5Nc`@h`g69GQkKed
zx`XW`?{Y0_YMyvHMGw@zn;ju1DPxd6Q2H^kZTozc4cm5-CqKaUTwka<;eSX%q5!R!
z;GJ7XQeK*;0jbAm4t5U%UEL)(5)nOf7{dL7Mi1K_=GW8b>Zl@L`b$;WNQ(AL{+J#V
zpou@+Ut2lwP(9Zs-u;^VNcCfjZ)R>%Hs@}JRhRbf$3QQV+M_&AXBsX}aV!1Yz6H$E
zf%vkmTel{@dWCU6eQ4Lf5r#H^OH7Qw`H7)ZfS5oanawHh$%ive<^6&VO&(1%Gc%a^
zjBd`Q^F4)3a$RVt`oYDV7y{94`jnX#CC|(~@+tV`Jm2E|cVletc9o_z&wjFVYSw!?
zr6#Er9aW$^?VcE|(XG4sRcEK2%e3TVuvEv1zNFCBXkM2D<pK2rsgA4%BWj|X?80N=
zpfh(0Fee#l6?tF6@!<UlOG`_Y@<BC6=?d?1uPSfi<9U3~AFXkl<-n2Zx8ICTD5%#+
z?yPd)8qjNFA$3uCbyHmUjt0-m_3jB0<4}BIxNTfnBRpV`K%$|t3SA+ZR?YxO!1eeu
zHVX|87+KT>9l)DG8O2z*ln>6k)a(82uGAg0Z29cbFIK>_zdp(D(X{2En_@U0_cex=
z*4DzuGPW;B0?(UmPIdftb!JS{(4aBI^88X{*EUr~r#LaquzAgYszm;nQuv;V^}XGW
zUOp?^ZEM*%Tk+t&s2-y;l9`JFf~7tysqxQ~`q=_qNym9NNgjzd<Zubwe{1Ve*=g0@
z**_@dK^FnRS0!F1MeNqr;#$QN<$kTD>#0+Y$`RHSHB@G*p?bgj<ZejbkH0$FGsxK^
zt1altMyZ;5@Me5vW)VVsXlHi;g~Yor9ufl#h;V*wnhZaNc9D#{fQ<%W8B$+ga;^U}
zzy%n9KxB{m4KB$l1}JayRjyr+jf*QWucqZJaOjhFa>}y31uG8B#7za73@*K2iymMV
zG`hRcX8-{i6URQ9IzWvhC-)JQJc8Z>?3wlp%(*(D@}K1gO9*h>y`^~G!ejH_-e1aU
zgy0@T0yQvQwX`gT42lhgFneJiV<5VnS6O3M!2<;Ac6hkMyn6qb)=i}=hsLv4rq-B?
z&JCZG+In;POhuOx$NaGS9e@7?!(EIg6ZBt;N%3uAYo&U3-OsXa{r)e3$|IJhs_)Dt
zrw-dZL)(($PQ(uUZq;a-ukJae?<wfjz#!49Y9i_Y)JcTi#cpbN%Mc0+nB{ohxY60w
z#l{x+_RYI@S_FTiv8QK1)g$^yzP{nbi<Z+y=I^q83$`pc+ISI*v$Z|MI_|0GCv(Ak
zecL7@bFF+-6{9;%2#d>NaHfC-p0^9B=?A@^VCkWKPq=PDd)GeH2z>+#`00eU(`^WR
z6O30`0o?~4Kc@vwpSR8jzqIKS`N;37xw*0Ln(HU6o}F)td6jAzs68eA{MnMg<4C7O
zw~KG{zrO#r*u5kDf?gJe;x&A%FI|jXzdCI;Ay~)K8x(Z2l_#m?S3s-&Z~H&hEK+^x
zWHn!#*Dor(byh=?L47E;J?3WS$T?~K78vlgmr&<Zw1hR))$N#n)^ER~u5wH^MA5v1
ztR$(ui}~V;I4YxV)mDQkve7$TH${tOMpPfGD}T>`sEjaveMt^gC8pw-!%PPL@#tC-
z3Jmxp$m-nDJQpP#upz1>%xe?iYgSx5-c#xY&OPXA5T<3A5?vJV!{A-n^!2MhVT=iy
z;f0Goe^=Y(QRd}^FIPKbxG?7j-kG`wS{9$w+GUs|MHbJOeG=Nz6)KxAx#B85`zxqz
zo!`N-N#v`@5m!Y8_pZe47V!cD>03#T`m9UXOPwXnvPahk&X^Ka4v75VCo_Z0I#3A4
z#0pr^S6fdE10h6=+@AoLQ|8E#v%`yBP%x-ES6y#;Y1DO|gO)ZS_qmL)U0qS)%V!Fg
zKpp`bl%8f5qRSGRO*9XRBE0yo^1WjJ60}YE`{~$u(MXbMfusX-zdj?W{j=^P;$^uW
zsj<DGEh}eehlqgbmUvTQ+iZCZe3^R`Vyj54xq2sT1t8IgN=R61aV3D{|7X;b@Tq7U
zYV5rSOqm$c2NDvH#?POXa$e@-%;5>d7II7JB|It0sa#ZQidYTpK36T>(_4K;vOeHC
zyRKZP$X9C|J;G%-Yi(*$W-$`X1*duvUQAxt(1Zc%Pc53dx4Ic_Hzor72B#uetaOFO
zPc=An0<eY#QjtJdVHC$5mTs{KJ_f8v%#!_A+e@8esWTP2;2x6`p7j3k(t4pqbdp*9
zV&W@#r7LyaVvm|i$70<TOBpUc5u#^Um)Y_$b-%O(T>i7{nGchMV<#fjn~@P0Z{H`h
zAO7!04jp=(k#P-dA{5)uPGGCd^<wVjiE^X70k{>^XxIdzaVp12IDf>)_n5(I2G}wv
z`s-If9(lf*%<P=<?0xgQuS7pwG`wQ@^~;V+<1Ts*UAxpbpLcyBR;W<iyywS#4gUdx
zaF+(w{V@*{D{^Z+y1)wX33pNWQuvyJ`2rJRh+_7LT=|Bb(yp`7&~Dq)$lNj*bwJ;I
z1>_JYIoHe!2VCRw^^vQ!MExu|V_`X-EZwf#p7eQK$eBHEzty*nZK+es=j`_9xE*Ud
zm^#pOzTxvzPj(XF$@oq6Eg>Y{LNISJ5m?}TYeUFw!I@gCI<e-kFk$jo2||BDPymP?
z)Q#nK%lNw5S{o?-pPO#BY^v4keV^3k{!^@PVcz&6M^^Ro%#}vtK{v-s%a(2YTearH
zTcu*|2Vdf==hz1_r^AQUV{`G(H*ZR#J8|N~+->I<xrf2697;hSNf2b2srB~4>4`&c
zvOHH*Er0WxUplM3<)2*`OSAb7B^mRR3)d@-9ewTN?XSeYt76MTlN}U6-qV-d_H8!V
zV@|V+<>Bd*dwUzK3~4l&Pkm54N*lUw-}c|U#j9(_zt7F68E6_bXV0wW=UJG#&L*ih
z$M(M){3d?s5^^9yi?-*qU2X^X_VJ;iKbg5no=#Ipy{3r&nwuATxWT(hON&m!XFh*2
z>DM~bDfY_9W%27bt!ABE7QOolHtQV-Zt&ec$XP@=cxJ>vr7+4Yvnph+d+9;+uT3ZE
z*pGQBkSAQ{9Cn^sQjqcYdrR9J()a2+7V}d3BQuwjO8Hjz?dpbx^<AejE$YBn{tbq5
zlt1Wvm>CC|r91K>xG{KPE!=dWp4qgCy|;8Cb+M*6!Q(SaPxSU!<_D9a54&G(=F|;;
z5TDt;uYB{#U7<Iwh<WXHqHf5G*rbtw?G+3&o0mL+6+auKT);;k3B(qP8CDhj?Vz4h
zMp>31<l{=f^f|xXM#ga<x0F&=R<@m~o3WPMvwWBPc^ZeaQIy}Gc!)|qc(5EaGgje}
zH1Mvke(?6!!Ycm!7>R6O7pB`X>^vtJv7FBbfGI?fjF!NKZB5qcQ&q<UWNCC`uHAC1
z;hlc|SG`N!#8?#34?S)p#b)jKBteT?8Q?7a`%Ios;g$TEoQrO=eY0~t9rs7#xe9k(
zG#IR2Rk?0?>xRHxE!BuL(R%l>^!4vc-bgx6mVwG5O^~U&ulJ#A?viI`4-p>tI?FbR
zpu6zep;5I2k!QUswC8qEQ?VP(;v%oDj(b_w&=#VJ2Z`nun%R-|rb%LQRXY=M;o0^B
zjT{(!tND869orYLe$6$rINz!h4IPg9t`lwtZ>+@*lRql0EYZ4p-YK81TkkUiQ=*@i
zDwFgj>2>L)Qh7G=ubW9G{AQc?DZ+Q?5**U-V8Nbg0sO<FE6s0^)#O^Y)|;l&Gcppc
zAmA>-eJOwVU144a+~;n>xdti-HFfoAB#VR=9XTZMy(RD=q4>GhYTydv#8?^6@BNzS
z8zE+XwoWY;HUIPwy|RU1$+4rm?}ML*JKsg<)P4Q@Fv_tx-4j~#G1MG{l!&Mabm0+`
zsLJ6oyH7@@1lLL}e$RO}vg;3-1K*#zXg#fcb*FYG?RUKg$EKzkYqt1mUv9l;rdFSP
z?L^pNOD)f?=l)*%Z>i>gjU#I|Jh^Gx(N5#!oBmZKe<nXr3V>2n0xKctJwVyO!N14H
zXJU806sTO_R81j*BKxUts(1eL?KfeF3QlpS(Fa|O5bOdu9{gSXxcd(t^kiM8i+<F-
z50m8i`08v#u>-VC8Y3P-VZG=?E4*V9`wK4Hi6W0hgQ1#Lqwigo4Qw7EJRCfFJHr3)
zdv0||JnhtFC`|uj)5#s*Si3I$iH@RX@pc=_AG}M&k^!O}vGLQ>!<+}IoHtNSp@Zf*
z5NV0V<Hy91p`jrVzHA__h6ZJ|wRG)LZU^qwlkjj+aDS@kUHJ)-8`N48Py~R+g<a$W
zvIkzqv(U43x%Nooeqi6kMgH1<z-y@~9=1)yJYH;>V8#G0_o8OcD)(-u+;RrfY7pu%
z1?{zy0vASym}RzOOx%IXbqC0&YnwZ1>Mc7>B^hFWY%y?BEE<nuq%7h;eO>0a!Hm*P
zc7;v$Bb*b1>Jgh@c^p+28204J(32QOvj2y*_YTK8{@;c_M$s@!sccFiDKfGPZCWHV
znU#^fXNwAzB3Y%Rs3c^MmXXXNdt_(t?Rw4+-{0^4J;#0A_woGkTz_?l>$*Pc{eHd9
z*Ey2wErBG%=S%H{#4qigq9bfGK(ivsHnFl+Lm~dA;nDT2g*$l4#)^6ZPknVy5QGsd
zs_Tzl{7|-$)&^koVc`$8*+XRASSxo#?LlV0o|91O);*~e$KsqR!Zl1$!=2LNxBuSA
z)jC!4l+xt>_Cl>4w4*92H;lD33%i;hT+vd*$>%AKV$5eckG@(0L7gU@;_BmD<SN9i
zWxhnm@c+AT?1W6pF^6@B665D{M0rvl4x77G^oNDpnX$==%SG793~~$~>~bDdIec~L
zf=;c>EEVB*=Mxs5me^26LU|qTfzQbw4;+r15`P@f_@*Mvo!{uzxrB#%EV8IV-)CkE
zS=Zg1H}Lp0;C1wS*X~Vj%CxE&1vX#nbVbNFIkZ)Ku~$^R%>{)1-7raBQ!MWsRh04F
zKHhKbSdf4Dv0AQ}vA$DHv5&;%(iu3MR1PL7OUGZbdHzQ?LSe(c!=2sZ-E%U(skd<P
zSUh)uz_<Zk{U66SrPAI!`rP*J;3MOcveW*()iF6<;pK_1LhfH~Y#z_Q`$#;IL*H&F
z;Fs0E>agBLZsoQy(Q8GPLq3Ccm)qL81?TGbdK)aya-OZpsTHSfYdbtEUn$FWa!mD4
zaVanDOooc=#&myEv!J`we(yJX)bKWr?x%#b)m87^63yekNIYYU|2k~H6z_lvLuv2p
zf<rtRn~hb^U02=Mp6gg(J{y(%UDR0BWhy^E-CbMn2RV)3!FMMxa6g+vcdLA1hl~4u
zy5l{0vmP6A+1hJ7d<a6Q^GR`Fobw5OCW1MYx$X0w*wW#JVb&h;IsM)ieXe%b{q6qG
ztBh~;6z+|TE~9Sy=o|gT${_#e^BNDSa;r4I3fd*n$Rw7wXeWZ6eQ9>fDvW>cGvBJb
z?&9|`bbO!9n8R%wI$ERaJ=_Oc`<{<SaWJ|4tmEi%w%JTi{Xs(KN4VyaNI;L`wEcH^
zXZ^pPe>f;Jsl(XOu;t*a`>mCu4a&Iu)icOzbHme8eucBC{8=eu+0WL>ROo)=RCS^7
z=ep~i_gLlF<9vU9U`;|D4MEF$FOrU+x1%57dDzP{s8Mq6!RPTHhe1}AC_2mA2HrmA
z{IOEk+U+G>iUbz!Y}i=JDR?2sl$y$Kt(rA@+g>JWxg#3hzCRwkpM86GXhBF>BS80j
zg>I#3u&{xbx%SU)aThA`W}Bpst{)S7Lq%AuqL%Y-ub^(*H~2`g>gqf9bzc=qhl9e7
zd&y>{?w`U<p+e`ihH3Cr6QA<C=k!d((+)0b(;p>Vzg{u!o8|8wW`0S<Bh6cI-Hd+g
zg)(KmmhmT+GO@4Hx5_#nak43ku}FA0Cd=PHFjowfMMD?IcgJhC(9vk&0NG>c%LGp)
zJJEKDu31<9vHR%r>pf91U4|Z^3!9w1sq;J19zOcpTtQRRb0haLy9*Q1B&Mdb!Oy%>
zf$)*W-`_jdt!mGkD!s>ud^%^_9<Nc^h;bnc3-9bKi@xrrsKREOfz6&-Dy{F@8296%
zym`G_ATa??mC$X1$*x^pue|ij_<A!1o1D$Rk=oL_MYJTxR_^XdQ;~2gQ@Q)w1?$H#
z9aGKo6{2ewbcA}Ix@+t#ild6LUrSBU3Vt&t2zg~6I;xjz_4yheh~=(hNLNU&$hYSd
z{&M`L>BYwzBULw6$cyImoM@se=}F@<aUtl}D?g~~DYUy+$8;;3XwtA0<JeEY5xv;o
z+)=-`*Fxr%{q$Mv<hL|7+WZ$6Ks$_D+$J)$%Xw|_E=SSF@sSTQPQo&szRP(vCe{u#
zR9v+8U+x&d;}dtb%J*!o&u*g**TsEj%UyEce_m93898cuOUA6&+)!5ZjlX&^R_Qkn
zCGX&35Crp2<~C(Emrd=SJ50C&i#1aocU1fMhc^o3l<|({UB&X3ZDKRszvCF&!fCH%
zO!VS)f{E%o%buGpdv^2DUfDjjIQ_`(%f6h7KpAzv`CXH)g&CWF8oxX0-ryNJary=w
zasS#k>Fi{VLzPs-Ich2{iR&71VX{M6od;ybayV99S#$nWBI+5I)+HA?MZfnE3k_D@
zjkdhKJEeL4(fBaBL}s33aMiWCTSG<k(opA!Ib}CnN`eHrtC^)l`<+&HGuIRTggpaa
za+R?h^T}==@eU|r?rrfuEEuxXZNJUAJlkGiocQ@#ux4B5_!a6Hy}`Od^Q%o^M>->l
z+pvNb+2s6)-?gNh5Lt7@)DR8^7`E<g+!FY)aZu%VU0ttqIL}7e+f?&WeC)%Dt{KKX
z=Aq@)OOq3&eXNbIdQx_uX7awO=W-q78mcAn6nOQTr6ec4)9Uw*+S2D1TOFMKQe@NJ
zrq*KYVk(_3`Gk)mt;^@1X7&ISt8?#b6G1yC=4dXtRsR#2r!2_+acyd8`1kgOZGY0X
zaT$(JBN6EaYu5JQYUZZxm@9M%yQXVc_ubYZ_9hkr@AjwJJ^4<B;}Nl|akPcGpJF;T
zblD%bT5~I3#8lJJFv(%FM1^&F;zYVhjzk$k0FTxDwqbZUGsM6s{OE%?tEA{`z~8hY
z!wc_fDRUfS{Ut34T6xn46Bb-bm1=EFLP}KN${)*9u+CVF9foHhM7{qXrGP1gQ`a@>
zkJ<A-+{_YsP02{L{$tmqKfI7uw0=0+1|S;$Q_3f2ieQL+eHtYu>yY!<v0;z39WC$U
z>9@zyS5ThPQ^a3gAMOQ~Nd{aVL)0JxgJzcOQ<Ic>plDzk-&1>0?OB!ZKTCwT`M&|-
zt;4*APo-=`HP7bnKl0E~Lta4fw8xZ1nhuJxfMN@Y!tdV~r#SMXd)xl_3M@N`Z8cd`
zgOvnd><2Lc7UHv5H7oV!3W<JuflrEo$G;dqd;H1xWAvfTSES?0S%<T`XNoAAO&gj=
zn^?)GL`nWy^SX0Irsa~#?Z+xTY%Gr-7MuDsmg)Yu&Ny!|=eu3eJ&VV!X&WB+(p=k<
zyEZe@z-D~wOr~hA_%}zNwocoRQsz%=PwGg=5QLr5DlQYjSO<}b?d6v*IK(~eS=W`Q
zK5uzp;&~tc$2-z%m-bW@?V=_s>0-|75`^C-p%EV0!$+HpmpVnClyWBOWp!FP%h}YJ
zl|Bp*&L0=BJ}M(Ap%fI-XSGH0Isa5teA=|u4Q`#?pLN_6ifW9FWRO2RWBgllpKvp#
zwOe=!uG6uK$_+KWdOL5Y?kU&k(8uch&unm9<l(rUX<4Jejl4Td;i5NP^p5F&%lqy0
z2Xi*M-?wXMhF1}^+t7TRU($#XWqU4jih;MXiq3n}{f-u;At`?f+l}WnzvOEZ>pPk#
zWH~<D)8tna(nj$epH(puktcTkb(rxij`b~4&+dq+Zl+@HMh<}l8Hr$oC=M>Eixtt*
zwqJDD4d=~^Hk!>jB=Iws{`djT`5esn<>z`|pj||2g8QsbR#q0&wUd3n1i?Q=g^acl
zo|T12E#S6kByGu|KZ28pql$_O05?(@fecyiQpj}Be+^@v0c{n;S&(~kL+uDOE~4xy
zcjR?~`=wC+)gsQ@FHZ*WO?8<Ejn#W&Nm**7Z{8<n^3<;-X1dt*((JeS_nE^INrtaV
zB_9T_9bLVJ3-^bF3Ce#62;%%VL+1RzGa0^3i8cRhBcReI)xfC6KSLCK_3G8kZSeO6
zc07#U0!DC<bHZT^QDQmh$lTEaz;c3X8)={h5~l&Y(V<GiQ%7p2Vaq^4r?qf-77q20
zO9QK$gF;kU1(7!&wMEd*KuHaAZVSk8gY91!upeZis0RHLjgf4o%e8O4^ETRudT2po
zSb?s3UDhyR`{=VPY5-a5VIAb-p37;ey+K#G{rcy&G5=<3CJ!li^<xo33n(Kr$c2yi
z2doGBEjWVU3{n8d-e%a=op%AMROr+YbXA8|9SsB|OZKTUAe{rHg9kCpeBrnFS>>FL
z&H)?*ni;sOEubHStn8Yl2U^gH35S&WNH}JKD~jF*OTo{dKS?)NAY6clt*c^hW`sgD
z;|14m{6B=E3X{Ljs$hj6?+r9{on2kKwLe@edAQxL{BgoFYVLa+eNy*TUDk{auos!}
z{TROT;-T~5TE}LAdrb!;4mQvcl{XImY?Yz7H#xPxnd#4<rlx9(ZpoG3nGR735}80W
zhKu8=%5^wU4N`4w%s&EGDmiOOz=4o#fpqG!;u6|rF@gvLxEJk+9T>0-O%B*8BQpy@
z8ywsnPoHLKd~rxiOADCAv130VLBj$XuoHepm?vTg^DZGl2NCJLp~%qPz~=_TLTxue
z<bmDaYg~xVSy*MF!h0!XSmw-j+L?>yv&q>VSL1Ljb=eIwIj;&*sDpV(RXES?pl4h&
z>sw!)+@{5b=z$#+UIOhc?t8vi+&Yi}F;`*u086EXzN6OGqAY04GtZ3~U%G@i5Oo#w
z<<C2mQ|ck^<>GTge;=vww8|oqjMjpIv%X%b3Mz2_*LcE2<#R9=40xTKe0o7Sfw)yk
z#~D=LCa=)Ty0PoYGXrLdcqXOGxu<<`M@YcpJs3$KD5LW1#qP{!Ph+^(42gH!hPq#N
z=IwvaD;;OkIXV5Sd;O}l`wOV-pHLCp3jA50FVc@_&*2#{H#aArVaTc6fy~V2n7{#P
zM+ols%W$%X)*5&T(&SnYAcZGL#km6ygGy)eF=$=f`7l{X!p`dABF&<YgtCN$JN_^`
zvJDHQThFef0!xoYU_WS^cc+^2fg61uHVb%yMq#m2@7e(~E#}j3r&Hm6v6ZKQZgX(o
zA1#kPu1pupM^9L|Y)Y1Q-nj8Wi++QHjc<pw{qxM<GCSQYwJN_;56QOAe(NUmPG0Oe
z>u{?_W_M1E^3#qkx2!hmwh{kXS%nDRBx<7f5WL<<@dUtoOtj+T;$-YZ=p?%rGJB$p
z&;AI8X9SR4c!4g_&cLdaPiWUJTkn6EjHsAMMj%@#+p%9w1$sL^z86)+tQjeww5I@!
z&iY23^DH#L0)GqGz##34Ch`hkN*EFuxd5RwOl>jg+b<*Iia~E|@M#9-Hs2!`#kyl^
z1(Irnbr+^XI!nLId+^JxKEL!pb9%c)O#H!VbAtHYcdl2SmzUxg!e4QBAMuRUch48n
znG7)SP9dRXbCQWssUG0p$d32-XNWd8BqK4gdSMKYi}iP|K&TP?U`Wch9&mWwVH;AC
z>P_*Qf{E7lc}zL{{J{v&_iAD}jRnNTC8OTb$x`IC>9Wf@P$AMJ3nz)vwa43t35fwG
z!}oPT+h(?TRqDFw0y>te>lK`uT1T^A5El+Jd$e529QV#Da$M?9Or&%E=BS{^r@-YW
zx}DxiFG2EjEFHn~HjHsZSoPJL4t^n_D=-FBfyAlHK3Pi3%e&2&4pAUsHlVf3PWS%_
z&e1R}I(+Qd+I19wW74i;0`4DRfCc5}TXpsPmMC=<6nZKq5?kdZ*${t~ll&|++?z7r
z3Si4ATOOH-04?FKvFR?UC0oKWsmlHA*fVOTOFO*;b9jOd2px`T9*?Kc^|pMe{MVY*
znJ3@>^27^X=_%nLM$uk^puPU9eR}q6L733{@!{2?%sx-+2c2rnU_ns?Z|qdac(B&G
zz#cEh%1kmM-Ln3mdYAJKe*O-aY6D5cI87#EgTW2V*%;Wx+HjL&rfCD_Kl}h8hOv}v
zgrqo?3?6`)m9Z}T;T}xSc0!F5P@K7KL3c-N{?cR;>`%4q>_}It7?;0m_)rLwzFTnn
zA;abI_~ecjZu`r4is6(m(<ZON-Gi_8D?F%ar1e^ue(2qEz&3lzJpSWW9r>um4hpMs
z)Oja;sg<@-`Agi-pi8no7I#GGxi@V>;+Cq)@lX+?lss45981_eFgyW?Ush4UuJgzz
zR@sOsgGh)^0lYaukO`&YFrI$MH?SnklS1u)u4UuUfxAfZ<Rcw46whPZl#D0~vbyof
z1M4jAp$%27lqKiTmH<SR!kzP<jraUEmNF<~Tyt`}v0H33(RqIIuBwZS%ZXu*`7Z4#
zxvqO{x#QmaH(qH4iFZ>3f5eT#vJ3kaj7w+gMF=Ia@zC@KUo(v?h~7f@-;Cpmbocb+
zlV2~Nl2>F^$K#q(-}KS+xXreg@$q+u$Oj)R3%wn8bknY|u>d1YyE<LkdOwJ*8Fc%G
z=ZENe0x<{unRo31U66Sx$_P`;;kC8vV7l!dmX|DNvoD;aXei9*YT-`$`zBs*Ah35V
zyCVLa>MO4+ZnRW%EJZi@<OrXbjghx2I*O_9?IEf>wEnQ|$`?m@g{!ZUdZk9FsI0yG
zJsiA9`S2B-&xa9kKxM81Ssusta*%ynsv>e)iueJGgKA@*ZC^jLoYoB&vhi@M^4u<%
zhYd$i{F;4}PQNbbHzf8w-jOi6kF8x}J4I1>zAMPD=~sC+vs-!G0goY#M{|nnpJ<cC
z(ZXk2!5qK7s4ddh+F&Rb#3g?K9{1Dc@B=bQ(}5=?Tu(5z(u+=O90XLJ17~!IeCjMb
zj*=D@q_KgV2Rs0S=wLo|_#S&Q9G<XtW5F!6RVXvFhY1|%d3sE*^sTi`vNo9`1F!9#
zK~mYCcX84?@Zc&gITD}j;GPaek$%>yszzQYTk&tocr{m4>P@|xXcR*CHyvi!GHF7n
zx~%_qC*Ii%Ck>|#HR6y4^xwYz(QqK2o={i84@uK7>^(ao%644(g9T0})6SF}mCeH8
z6T0dsIPQh}cb7-?YsW{0@4p&aW%0AL6!{!$g##drLGl!tC=3Ktbo}S2%`EhBLoK<o
zEGHwS$q?NE<?QA>JiUJm+ynjLcrv`t!cg~=FVyQ>Do(3(QS8!c^l8Mq!zpJ>783K&
z7S`zTb&o$d)p#3Y2SUkCD4>4`c0Ey{p`Yw~)WeG4=?dnAzXhyhS`1`Sg24@*9H+zm
z$4K~n*yG2^awqcDx7wuXkZKn$Y{0?B+nxA?5Vj}>Rdz`TPC8!o)z;X1F${tV{8ecl
z%E44z225J9sNhYL@r_YgV4sHdA;uM=>AmANG6Di7*v7FfA%4jdw#sM-@dQj_TS^Xd
z7^ti2h+|+-_W2_dBa`szRiRl*{heV)?_*)B40=S$#);hTr)RrQhdKU`_wF6zry{mK
z%zN-BrZhtQTvqW0=^2haZT2*)Y!c{Bk>Lu^#zA+~LsviHh<`%Y9+tkDOjSa#YEdvZ
z%v6o2TFg>1D=rVabi$OXJQyY~V#w2wl1k6W$aw!gC@nNRydItj!P(p7-5fBy#$eY2
z0&=)jNx&aW14y~-a8AcQ~!_laK8y5_BR@?Tsr6sgeD0HYj4`X6PXf?{H31`(}`
ztj9?Jw-1GK6XS>e^)xwhNllGc`dMv~nDk%=;6o!GPWPlp{BoL3{l8OcFRENmTM+to
zqMq3qn77m&vn-ditSh)xX-{JN<K8<21;@FsR-*dF2_I{E(pQuC2P>n1O(v|_F!RR6
zi+)yaK}{`3%X#!)qaB?c+opB^HkG$!)0gb3B%?Bxcs88=7M)d*d@(6laq<)|upDMO
zDuucWUIU^=SFgOz9t)`D)6#R6kvN<s8Gd3Q=qVW9lAQiU&m#WpIa{}ss=>g$+NbTC
zen(gNAa1p1X7nR%*VET`zvD`@v^?waGAsSpUu_Qc>~O7Yc{<|qXbua>P!_mNaQ{|e
zx>Nhv;)=5Hd-0vSXb20xisS3qzk(pT^(Micvk-Y*zai|%!B=Cl6ywjVSBU~{=VFyF
zBoEse5Z@EVAH(Y__~a^zt%Q0-RO1Qa992iBFHMo$I_+kLWf)QU*pTY)jc>%qV?ISy
zw3q(zCTA-<pWAL-<v}cc_{2?E&{NBe{4I_=urt5ZmY&2b8t8z<5tZCGj0oZaZvow|
z!)|Ziyuow=UQ`|i+nt*gh#77_&|C?gpoClBmLWr8E2{|A66EG+b(YYMA@c&}e@I1`
z1yKkqf?A(fUu3Pg7-dOUH_Gwta+<x)pA2ipn6i5tx=Wfj5QMohOPfZFLN3TYi8Wid
zYzcq#=$wIp7nT&*bzev^Yxbrr9-CG_E)i9DbaMxVe5MH=i$2AIu+UI+iA`716p+yk
z`zy3!J3=nQ{thD^ZK!uqD7pr5(Q#JJtpe5kK5fk2g(viwZJgVw(#KeAjp_!sKWY;Y
z2u=7SL2-&d5nhe10d*NnYU5;=`SDO_M3f7UXeCZ!=))7MxHKBP`m0S?HJpqvnu0lD
zNJIqgNA0cy_;nsx)g6J2kw)|hCI7_cLEfeH!QU>g0s;O*aG4H^hqzl=1-dOveAZ6<
z$MIZ=KI(iMR(yZBM81XOSX2Wxpg)pNVyUHR1};m~zqCoEYujWUrjHb(I?GS+oL<m^
zO67h)IgJN;TNXGHNe9Q6ql#SVQBe~#8_tlMC1yiI!Ht%mFvY5UtAGU|yZL=Q|5~xT
z-@oL&hI$YFHlM^BFfao|Y$X{{%~>T>)brufr`p9L&Jm;Z#(>xF-@k`MZMg8#!f<e7
zu<2*3CFgal4keAE`<!LBYAj5yV+)KloQ$W;?H>NE%e`^7tk`QkLYud>7XSTVW5S0%
z+$-<8+~!*~U52NqW;*cRp<asxG(J2Bm_|fS-Gnp;;m*B-HfboMFkJh+IEqB0#2TUR
zG0y*D^ZD1xrPRN5*qmB+1<{~daqiDuGwyT>2IM_(RsCkF(bDNsI~f15jdp0}^U~as
z*+E0$Ynwmnao)evxJNoKS93&)Kkva}k&x(8YJqq`|ID797nlM)i&@&JR4QG4q_zfj
zo{O;i?B(>~O&=A(^LivWt?8()-I*?{Sv!)+y;HS^3QpR${H<H_tkN6x)n35eDaDSv
zu}~H3Axh1^OD<++Xemt&9`uu2)bxRfrQVWDgL(vd9=tSEQ1}k`vG|{YFa(SkHnup2
z!>I{41&@QkOgVVaK|%I%TgimDVOst%yXf>F%Hf?cyEWbE%T=7uJa{1<QHELHjM}C$
zvlO^+Y&Z>!1_?n6SMIc$J)IF{2J@`kQW8EjCF$#GT`YDcaqlPEPV`WbyQPXrvNpuI
zAPMy?{07hNXP(8cSAp|nXcGFS?&LDuL^j4_X{Z5#ILULK_K{gCT+6`l{qn@^^1Kx4
zpSHgHBqTO^GmREbD_FJ1oG{q!Zll${tr&McEtlV&As6Q!r|2&C*6jsq8)06{TX44{
zgRPX3Z{^Zb_^h;5Z=gf4|9P^Z=97LZC0fp<O50jEB>>G2DVczL5p2@~ijFYI<hxQ8
zyJ|-%?&dYCF3vfJ@2nZWsJqwTb)lpEjHOwmn8r{vEmL$42f;Jq;N=P5@l*`JRVKg;
zIIv^KcD}?KH}GGUn<Tb=4qP&3ma6XcH1qKehY8vO)eQu_93HL!3s7*#WZIoOi_6Qo
zq^vn2T$jAzyoaX_7z9eF=MHpOS(HRy4<fQPx>vCP4(#Z<9Kq*+`>ZscaBL|^x7xOK
z>pis&U7K7sZtkSzzu~!dss}sAV70f8U@T08--1+1u7;>$V5W?#>@}U;8pt72-7!Jh
zrhE=yOLSCxB=7k`zm*Pa#(_;6siOT+JxtW<+U#m3UAoikzq!Q8Qh$+d74b=DB9xLG
z6ato|EridBx`#iHO;h_F`EagHSp(o)m`m&aICm<d?M{!!<<~*fgbyVe{>4xpGgl!1
zX%Z$(*)|35MLghMfxc(D?h6uG=3&poT!qd%*P@CqxRErsAc2MD7l!&sCI&K}rY+Lq
z_Pu)@NWWxLi}eA`6f#>rpdbP(xTzvEpcikU4>v_1TtKzz0YE5UUrmaKv8pbmzvZPL
zdA1kjB|r9+%5^^<yr&P2=iIDCz2<J?bp`1w!>g}<b}jiwG~#TbKqMIs&-Wmok$?UY
z&NWzeK)xMY&9F`be(J8j2#0IfOjbn69##Q22BKw@83y2p!UTr|6v30eYaMQde^o@3
zbwfssVqnwe%{F*PlwUD8DfsKf%NKOTZjdE742bp|V|Z!)#vM_}2Mt|N*Z>Pf<fh8u
z!{`VWQIbt&{0Ga!<xT_21qZon>HiDJ<Cd`_xw0fv7#Ip!^}@Iu*6&zqt9Bd0G(uh;
zV;R`)x4<0QkTQ23jtl4>49}m(&ZT8wAev=bro4(P^~U2?PQw?NA;xAt(zTM*#b91f
zFS5$wT*7f3ff9P^^@oV?XXQ*E&y>6y1_DSP2~IfpqBFM@7knxIjmh2h_pd{Gk-B<0
zjN+Q4wqaWWX{P=UIAQ;9RPOLmxfM{3#8Tjx2j)5K<^^I+`2dO`i2BIUqZg7dt&$x_
zMGo;h1qyAl(Z&Ydqf5}Hy_LarHNxPMSzso3NR6FQr(eXL(@^UDeAhaavpz~^On5xu
z5(^*v8~~Uw?Sv8eqaM?nAg%)BW2wTIf@eKkX5C<ijSd&r@6OPFBXN54NK@Scizk?r
zD<GS>hp33Dw`@r<hhr=-z;ZgoWn+VvhJPY<Irr?_hTgcK5??bHR)+8!A3tgh$1RE=
zJdYL7tYh{eelz04D_Avw+>OlKPd2SBmXbF0AHT;~BdRmRA7M-VOXtu-2lOI?c3(sp
zpHAMj_Jf+5Y%G|7c8F>KIq>mEYdVJuc-P{>-BZw`jfA$4vpmAn{(Y>hnzr<xMrAwp
zOrlA;I-5^*21$ru;<>|H2Rs?|<Hy%AF-_01N_s5;+yZvR9}7?u_>h>OpgF9>W3wOJ
zzptc%MtDdACn?Y$m>rn-I7#T*`>MC|?b{kSaL|W@xMV+FhNoI(Xc|2m$~B^GyXTAM
zu9#|h>JbsUo-@%>1vI^1aS#nzj{T?y0K&#>Gt6<>OD1e0>aLD|;4U7m4@KXNezl#~
z)I>O2@$CPAqT>8RL9y}QiP3_<xBa>BqWidR(_fuhKCCx18FUr>Y4kA)eU5w$Id0+A
zoLDj|6@R+W$<1=eB^_bG=z)Zi_T)~S0m`eUriRT*TGFg*nvTn*4SXi!U<dHJ@N|J)
z1WzbD!YqGo!#e^maBZNLhXwXy29kCiBW6UMSg_$ii3w|!9rjKZ*9cR|efz2{CGTEc
zKKt^OzXnJ9LJZ6)a!Y~)AthqQNIa8P9lFo0=;Z-S5KFJ(OdCy58OL;%EUM*s4JVtN
zUIheh4uW>IbJwmuFp7Z-4rlehhdCYiM7a~y$1Sge?Z#3D42b2lvGI!{bJ&ywK#-wh
znY4d3o69L#`J47OGo9lTN0VM`WnxavVbF38=x6`MNbm@2mg)EKA!R^V_$r`qfH<yz
zhY;}CZJUCH7i}fjU1Zen>?j;q^8g%zSOriT!7-cv-2M-wgC!JCE8NOJFz?4i1oW%n
zobhsW(X6Mz2~&}Xc=F_k3b?MA_;&3^Dve|Wd$84p^%z(SN*uV)73WBt;<z)l^{-0`
z$GY#ncQbN@9}Q6x4-V4wk(_%_pu`jvDWt&_WpP^G8rAC|6*QTRcWi;O#?r{KY~Qg1
zexalUrkv?LnTU;1Ohej+v*FqQfx1V5pW&Xl=0y%a2JXVu;ZFaDZj8_p`mz^9C34Ai
z3>=T}&TCh5qhDt(l(VnDg_0Hq5f(KGnh2&ym|u+{0%9h4Sm5q*uS{|Hr&$WJNMjB-
zCScM4gIiXodkhU^vP4E0Oeo|*c}qyZ>U>s|YU#hg7rK&3J0rMruVe&loVY<SUD+X#
zo0vl%3@~k|@7bewpOj|?9wodx|4cmN2jSs=Wcbd;c5)|&7cYikc#i%o){_wv?`rX+
z;wb(7>BGzio!qfkfQXm{r~S8YMc!nkVr+(c6DZuSv#<QGA`{sIvpEp(_24##yikte
zoAs7vDMO(79!qFR;HH-I8DMUvD%fTdu6Xf*=7!CjozlmjO2aB+PW-iD+lvef<gbz@
zhp?yXT>1@E$G;bBT}O>!6%#RbWQ)imU;^I@d8n<PWs)&u9)`BIG`1C3mfyN@192l(
zXmP+x-4Tn8`HnVKixGe;Of8HI3|bHv06HQo8=EHFNG?~u#6FDfg9ImIb!$0jT}~yP
zr%09cNV1<H7t6H=sknc?!a2sS0yxvbRSv!Xvu8g3h;<$wOar4;7q<dw;JzY@VLc7+
z4Cs;SQ!Ke$5^Lb7XFqiW;{lGVIU7zJ8MOl%A>G?i=W=nC??`1@vj$jCEl^nfsqL@3
zV4P~zl(AP{-V-A(oIpH^R<On^F}VX%F__|(E-v`#kYBP=a)0ZlpfAfxN?HR11pw>>
zUts*Y<y;p2IrXomv~iuRL$BDy0w37B!@BSTVUto1Qf%MH@Qw#)BV-g6;IxmS89GQz
z%;B6-tAjEf1Igy;?SRw~$NYcBGZaWXBW)EGmlFH5cAjNk|0>ns2r9xSRgUpG)5C4u
zd%N{^y-vUGcJ0vvEFPktGM=Wu_v{1jL=!Gv_d*P5lWfD?Tl=mNZLzC0ApBPtvtTp6
z|H2g54jprWv52?lRJO{*bl0%0O}AoA5ZEqw`49j{+V0AR=Fc>&-}K?MJN6br^Yaxa
zBFmRxD!BVM85}F(6kE}VWB9GNiB_R5OSj*Aik9tAT+r=OX6&e=;;{hZ$j!<i_oum~
zmgd{X{GEyah~<V^NtxWU-5Ao{<VCS&ORWF88Y>00-0Q7H`dwK^GqYrviORM6gGZ-g
zw1UcY*@O7)45mve#O^)sMu`e~%hop5j>$(ZlMW&T53lX6bHeqSntmqrnMz+YL9m*|
z0$^sr*FTnN)9Pw`K^8v}y5Vu0-E6q9C!X4TJ;6@vLX?c07%m<pp6T#inF$K}uTJ(p
z{BmO7GT>RJ!|xc-KCaDd9L<M~^W$+RUg9&C^hHY)wHovz%+f<t+ParRWxrB9XWczm
zz2;v2Npt*75UgMH=WwQ$lzeV0jf7g(gqz9i$en)D9#$5!#owB&>OcGym!q04p`oP#
zX_nJjU&m@oOHbPBu$HH!d-q2F6(O_IwL?Ce3$4>pJ>rguljYlzSaT)4@v(d?mir|A
ztW%#ErE??(IfKmQr+!&VrtE>SjO&o9Mhy3xx<RMA-~Gh-pZ?$YGIuEIETU%`x;?nO
zUcY>IG-FT9JX^C)TO*S?N6e<^p3t<5$=aPuYStDOJbVCBTSbY9wNwUTXn*7HBsN=1
zv9BNFth(ym{`e;+r_11;bzytjj#d3|yWAiv+HCCo;o*HEDZV23TwUDWyWeBcX8stJ
zd7G4U{*$0i(b6kg#mj^7k>99VdfJPQHEd<covL`%60IX>VyG}J{JN*<V7lnT_j_kn
z{fRgIwlVr-Wm5iGutUtw(=nq}R>FC?D2BpV>T2zYzMvy0p@2;yrb@Vxp(k>9=0L%r
zepmH<!(&6Tw<=*;IO3X_Ftqs;MA`ot66|bdd531zEbKnep@WA`e`EcMjuzQRg@s!K
z)#B!3HGzi=#9sUL%3%DZ&{4U)c@>JRGX_Ilf3~t5^`dW?!dGN=IkV`C_}IqEN}hhH
zG2ni{OV%HyRTA@P>}4pTwS4;GQ)7qc!z*vV?>M#1vm%B&H6+GW?%G>3I^xPLB1yR6
z=|B`y*<_^b*Q@>7xGik^w#6mAzl$c5seKcnbb)?k?)kftmc^IlU)#ObovSm#`-pek
zaDDlTU@DJHoX&VpMNnNQk~Vm#SqrneEplrPHCgq%;xJ6)WzScb*SFDl^V}U3SzumK
zp$2_K|BTK<{w{XQVCHoMGXdC6_RY}xu=&+gu;|O+51LTF!YP9L_E`Img1|r&16cLH
zyWRKoy^BhQEU_6DY?w#l_wD&5;vj0p2lr4Pf!Yh*V@-Ak>-3_H_FD+1(h!xjxTC|~
zra2Flefw?}w0=1GW?1W!@9`I=gLn(^7YfgU7zk!DeE18c_iwuG4Hs^I%r<v9`eVLj
zuA{~NdEk62X)!}z4M<K+m{4lN0;2cw*f1;O)y<FEn+;1xW0rvRT=&TOv3CzqL8=Cn
zI9A=}YHOfUsyyiPXHC_H539C?t*_{LSt1pr^zDat`5}T@reJx|AvS_gn6RT?l`i_~
zaLFGkWtH_*1++7GkEhrF9U!hL`TSwBkvg~G%5d~+!EpPFYxFkg0|(d-1kFM(-T`G@
zfsMB5Ih&>wx3*vIc-*&_L<U74_oDy2A>ew?5qyS3nY0lX+3PEbqw76-{WHJ}xW%^H
z(o7A2(Vdevf<fj-D+EUlSw*1Lz)h1k)o_)hgq%2W4+Hjf9SKw*&LIHhEigy`ov^<{
z{q2e94AO!)!^Rb?a#GiUNjv^na%&)dhe>{-5`j+ORW(bMmz71Kl1G981bWPzoSbZI
zHQ1LC`Uo;gLxr^kqtM8KmzKHu4ZVy<+HmLxZhd21`v0%xmHh;o%o+3v15UE@6~)EH
zV2dCj9xrUY9GEjhTTs56Or--Z9~21q0uLo#WWoo|O_rWdTPwqETuH&WTDFiqR(4H1
zJm*fSUJBbXf6bJZP|}q&XP1s<`1#sJWSp_>qS!Uh;|J_j&Su`cbxY@6E&43`a}Dx9
zFMfBGhVk?90e&Ro9e~a-Zj=1!nNn9*hlq02ogYwU0QPJ$@<JF4TKePa>fphQqa_b`
z4I5!J>Ev7-Z6Bfq$*7D^5)ox+fKZu$#1zBr+W7!w8jcM_cl8L#LA0!hN&}JK&)Asn
zACmPjMI(*cF^~}F<$a!<JPHXb22ajG+=>dI7m%4g=sWnbo~zQ29O&%%VREILwWB%A
zoX)vi@bDMMfvCpcb3JPbA8$3)+>OM!?Ynmm!edwl^B!c}P)2Smj(C#_?Enjy!~<wX
zkpb7ZQT8^JizNIzH3{vN%vL!J=^+^j*eNR;@!gE?n7TUYenzI+pF5Wdi_N1UJCch~
z_voHG_ZwosqEf&^u;FY>y$tWTXBezNGx9A{k<1$&&%38)jN)nvu~CqbJbv`ZW1{MC
z5V7a=Hk}*pZIgvKhGT;|7H35%kul9VZd>Mi7W~g;GqRf&smv&9_>Sv#j9QV;Hj$Zj
z`PVJY?_|%FKVXQYMPzgEZIyMhBvW%ZrLR4E`}Su{bZ2)r>uKN)r8j+mo!}rgRDqM!
z>mr5#GMQZ2^&HY4P{*r)leIm@9f8i5_y@t=`tEoLz3`vM1wG?F+s$M8)2~{8a<ZDN
zT~*{rwcCKSAYriGLhH-2L?B<KqP%<wW|`?oMFwkY%(Vn#)RQ~NSZ0J&AfyCd$A)@(
zIbgEExISR05F?y`*MKsIG)PZKfAmbkDfK8X%bOXqHFyzA*2C5R?;qyC8Y*}s?{_wz
z+D$w2j9>K98{Q8xL)0Tq!Gzjx*$#WvLk&#V6>&0r==}=EuiB2}-|+0VSQ|zt^^+zH
z2-*VE<Y%<J?C#xx8WN@*Ju&V>GLmr%DDUB`_#`BxL&Hbo$Pu1cWH3+1qvcUU)07GA
z6z&3!Kn__aOxu256k89Bz&HgE3V2@l>Pdhbu%@7j4*9eV`wvsz8=()j4u!M3)(GaF
zRSbJ8+Mhgrc@xNTJQkw?P4qvBhwg|(IsaDsG(wJ}qN2jXOL9m5Z*-DnM_(*El{kHz
z!2meWXQm{{i?Z~bI(zo(0Y%Ijz=na&>hHHTJr`TyW{Sqo2CY>2ACZOOTR*VY(=ISs
zK4kJ?df2O;U+73{hTDZvE@`Vv4&f`z_{<BdA$$*A`{EE?`w{5DQ;Ex8lJ^SdD~=S<
z!2f~U{UweSqyjRJO<g^xmw+yhe1(Nc8GX5d1(S3XP{BBdbWzrt+rbx7(mB|*>8>f@
zSTyPXU_^@|S>77s8`mOE=eofud=8}jpaEiy?sd+eZ#E8=-=Qh>n<=Eumq{+<gQBmD
z^w)TS!<>=vXkmEnV~QlRw5xeDk%XqD6;kt+5DXt<aZtESOE=jGA>vH2K6f;B{sV3$
z*`bUVxGtbpV9C$HSP>H(OvR_62~B1|t00$Gc_j^L&D?S>V!#M+Vqsj(CDs26m6hU>
z3pN8#Ezwn(nwTJqQR@0?hD#g%%(gO|1cmj{ZI(X=+a1s<?6AmndN;Xr=+qhnrTzG^
zRmQFpc}WIvQ^vH|waF3@z*q}m4Mp0*dwHO{LSuZz(Qy*@7M6qWlh1)R0*KXzBnj)v
z-8*-%^35Uk4(lvdIC~6r$ar?)>GR1GB-RfE4VLdY;G}s>)!-bUAHkFe_h7}7y&d2y
zdN~~uW^Qx5S)t_MXqMl$WwcznFt^mX?P)|PWW5D9wZ>B1O$~(Q>7oD<m~(-diT#5l
zZvd#D&N!*A&d3s8){RebYgBRo%8jKMGjkE`4+XQIA^2xGji{&jYFk`aEbc&w&HG3p
zs-F{Z&QBP|Qs(n1DfO1Ty!nBmn;RGyJ~Pj?#g<QSS^iG(lV35#$ubgS2lYZl1t^DI
z)9~N`)>=eG2*l!qZO=4X_hAJdIMNW5tUQmE|C(#lrDVhuG(2b-&g|iOzMBjrbz11V
z_30UPk`#yI`N#2TJa5>u^Vjh)HhGr2+RQ&(cyz`25mM+jjqd6EJ7r1m#DWFLxK*MT
zqA=XWj^0j~w`nEr-@7*%9{7BGU%D=2H@AQ>2>%aj_}xR_ogj)^`hU?c%7f7=oPMF^
z3F&(5uk2=PGE<L*oL822IV(3;qL<~gGgLhx>??F+UyiJ|)(7)Fqf?vcmi&UW6f7|>
z=4yGbVBySj;C;N0AC4Z$KTLo%OBUbY0y0;nR4DXEuaI=G$AIezQ1vOCBrA>#Am->0
zwCP`OGudD_IdY^J2oX?#6qnIUd{1Sa-@|3vui719RLEQr-?tA^`+{3*o|JXtvSJZW
ze%y{E(UZ2#m3*`=&D9n`Ya7;A_^Xd`Y@o{0s~n|V|D0T&qo%lQ^6r7wCN8^87ris2
z_Q;0n8*_oRtFkf`OCYymOXJm|z-{Tki(;UNMQW2J%On<xBF{cDdJ0sQ|HYuNb^PBM
z6gQ^+7lUFv2wOFobGG3$CYri^W#5tBQa4DDb1dZ26tAWn2B4^>R{Q%mBo2I#uIpm^
z$45pPmgZwiM5XznV||5U>j6R6paPMi_pA2rY<I*4wCcIR4`qA7__;SF;1rmK?;PAT
zPNh=(<3~e^d2ne|`~MH9g1*i*y|su8!^?iS1Yk3#;dF16F@*Wxl$0QMVfXG_Bp07J
zaRO$kWY#2V(-wp<h$eNR_}XXjci%&|m#<!d1~m75v*EccelGuQ;@GKI)P=5}L^cF-
z)|%eiyxGAudhOt=Ues?Z<g5Sct2TcJX9%p?$3sCo>McLv|AAw^sCw;Sm<r1}zmwEW
z5E7DY7B0(5r{Q={uVzkuL~ef1AhVk{b<S~(g@Jsvn%Y`P35nvlK!l4(K(>zC>L33p
zDq2>d5x2JJp^V|XwQIeH)}P-k;s%%xufG?!$dq-^r=RIE$fSv{n375|cokon7~hWu
z9xrCGxugQ5$X&%ihb!jT$&;9<UGbUce^;QQJUjJ8F_eE|xkORA{|g$fFJHa@vDV{q
z@K({CG0{n5sB;=RfwJF~aq_&$Ui%A|Z67G&O$V#%t^PsT=C{27OZOjBS0#Emo9R?x
zyP~|mTUvZ8+7si`mp}d4ql;@so=L}uSFaK&ly!QZaBhI2z2@8)gjQCm2Gg}}6e=Ze
zu>j8Ea@Vy7SbQ%u+#7sor^)7)8T{Kkz~JA|@|*Z%(H{5Nvva2lmU}!(25x<ESo=6I
zsJ@iEvw2rp+XhB?>yCZyaupF%t0qrcgsIrPTHTVB@ca<|ysbjoD0*BmE}MpUmUD5-
zL2pz8fWAH?kwr2*BuLi#9`D)Xzyu!+vU?AeXle2n9L-|iRYGgiq8?QA;NJkt^x~Xc
zZp8UL;?Vtt1o&SvHa7IIx|Pvl=UkDSh*K<ZUx$h)2>)!IF5FD#$_Wo|d<K);h!Wx;
zz$CqJp&qatyhKbTBZf0Nf>5X5zKI$7X>IKc%kbMT9U#Jnl>LCby#7)UC9FhTWogM^
zw1s1c;jI=>hiMnqnd#3xkY)0`V;e4OZ`oYIxFPt(C!Kea5rO`=Vo)nkii-1X+%8E*
zpoT*O@Oa2y>w?IpsjrcqjLSD9368MB=!TV5#Q2v$k-}|=7Al4}jue}vTzIGD!SB9d
zk|hbjNg5{$dn&mHY$8TRuFX1)f-RZ{MKzXRFOdJc8rS)V_E8S&BD!<j8$@?9sv4y7
z2#}OX?i&`5`BqBHq9(ZB@VtIJ-+>VZc#oEnr8W8*1~H58Gd7DxD2AAypSApCxpZQ>
z`~w}0$3eYFUC$?;Rrb})wcBHMxsBa(ecPk3J3{f-;)1)}6{oYeic$ppKMI~z#^LI(
zrSfj;=266#POM3A*ppgjolZAcvG+~ew)$;Lr4&04#*V4?ZNCmqo(*vwJ{dy-D1rTX
zLG(Oyi*zo*L-~{??B+<8A*1iOXmZ?ULR#Vm1KyV1>F^&ar^wuAoPNp6I;8rI*WDvP
z@y*JVQb~}?3rjodh4SE>g|SjHz0l<-*awhSgZC+~;9em=jgg?>P%!DC3}+5hEK3tw
zcH6WTG$&A^U&TlfUY$1<N6o(8$q$NHcy;bw=1b?Wc<ues*U#Bpf-j|~r##F4%hlg3
zB<AX$D%!-o!g(#VkWf2(SQx-f7RC&TW^lu9SEseLl+*=>8O`(C7iyCr?Ef%Jxq0IT
zlC6ZBH^0N+3}n-w;NYTn99*N^TpIucZ`jbG!GC4mc+dS4JI;dc2BL&V_G>cJXyFSr
zv$7yn9*XDfchH2}=HFPnG9l?uWFhhC@~^^0+v}g7eUWu6I_Y(GqR9-y;)`Oh2mL+%
z9vPN9>R23<pX}i!Hgn>@>rAPGLjM-ZtC@=iKSGNk9r*Wyy?@1XfoqJa#?IF+imtYq
zp>qiWFF}&^CwB*E51ABclbCBiCkY-ub!rbMr%#n(koU7b_+kG1e2u{P!}})P9twR?
z8Y~7@)Z$;|WGPR|mam19y#s4ouF<ddEJZTyCI=bV|G*3_klpUnu<1_74L8OF!RC&I
zn4Vs`%<1Cf15r%@4W{uy6qSc0k_&t_if#tOVp|l<WK0kWtoqy&IAOpLno}=_l$n8z
zaAtPBliX#|>oNy^hRQQ}L@TDxeK_tGZ#eEza7k`dds1JB!@O=*j<&6C8DdeAh@x}J
zZYGr=<2@A{9#mPZU$+k1knwab2n^8Y%c3XmQ&_!!lOauHd*<P`>6h-*p~jC-4iEM4
zUJMgkUgDH!@x?F%1EJawdnzV8xWr%pAbQKW$@Vas(A7*_99y=$aiH@Y-(tQ0yw`cf
z!>4tMPKR~~sqySF!kdhkM~Vfz(<IjXcqIiji7?&}$`r(z{6oh5nJj*<_TrJOqr-l8
zM&tz<+QoyTiX>N^G~`Y_Eos3-vNi~%G6$|U$FCio=J>VsMYJ}29~Sz&?ljqW_Pm<h
z*+1$rmU-v-B+bf+<fe7mU3KBobnz^E<|~5^kuS$1<XB8sP6+7y*YCOu7^Kw|4VqB(
zUe8#!p=DnVhfxIo*Xckn|5(#uAB%q%QdhRGg&PF7irnhVpXohsU2KB<IIqbKadmj!
zs)!D`CH?79?Da1$+X90#n^xYMk$&W}AO9MS=)D!@#MF$Pa&o;nr}V|Uv2?3fw*c~f
zeZS((02T3D1pG23o{=>be9@0RES-qe?#I~@W>4Ju6Eb8(5vYG*@mKV2+dupPF#iT1
z=S+V;=AOt7QE7YeX6wF%%$nPr6pr+jr{CumPeFf-;)5p@SK}HA`4wt9i1j(nB@2Ai
znSNVZJU9AOn0B687NHWSc$;XL@~`EsT1?MLe|k>yo#WAHoNOacCx<5*W9Nj93)`K~
z@xQL>wtNmx3DUaE+&s?ebTPcXg1y3fZ;E{)Q}*M#-bZ34vU=D$nk1*fJFg2>j>%}R
z30AK(-AI00f*F7`W#+bdP|jwbZSlE*{X<8mE3bThm-#4r@lBSjRNPGS0OR{GnMb8R
zhk9t&fm4N7G1YXz*F7F;XJe$)*ZqBR>SR#imZIF&GjZ0G#s^7)LsD7eO<^(me_b-&
zL{~K85Vd-o8j&f}CAxj>2foOpXH()29L?AoNx52jd8c^dJF*M_ig=6Q7Ln$gyEENA
zV)@Oux|@5c{*sxTROp>6;xE(LhmXu~NsYKlKjcnQj9UIC#2U~VS%Qzc*Zg&TnBK=Q
z7A+go(V`mG@7m&5o*Z6eG<#6?y3{h&MoH+&H_?oYo<ZcAtkI=mnNiV`d|<%yRcu<x
z^Tes;Q^@QBSao%*d)uhSaFEZS`1oA|OQvP*8@NiC$okk%T+d)@HtAjG68Fg>aOIZc
zSwo(84*pb@X3bKH%I@B>??0AR$HdZC0Vn0prkCt52&&q*yz$RHBKqXei;Pu0Gx@e#
z7mq9-vBgH}oO0VF&F--_nYqup0>3QQJ2kE4YLgf8_omwz@QYNF;}vT}pBp`U;qr7(
zt?B+wiSH>6Z8F>+d((Y-$~Km7K74~Qp6N^aYVtP=yk8g4?YBMqC^2UKlwSeI-H+xc
zzO`)6ERVf)cV#N|nP79N<PF|$koo5{C82%Wo%>0y=RX>VwB;{xR4>oylnT&u>B@!F
z@F#nA4y}<2+BV!(7gljt#a%jfbHoLuZ2lF4e5Eq5CN9ut1wW-sEsf{z8@6}%+!&YJ
z+$36JHAQ|If`^*g<AbdJcwC_6u|a(cyKaaj9$%ZLYHzvaPd9LoM(WL-1%<}X7Rxmw
zF$w&5_xBgCZg4Vh=ASij3A6GDN<M$cO)yZS^L=yl^7FM5t`jB#2fmg@jYhh685oB-
z{uyI&OJI{ZGZ<~K{F&c*3;MUjWPZE)TCHAzHbXfkscWZo;>(3{>ENl&ReOVY$~;@M
z74Nq!-#`n#7kV9o`1h@{8*=XP_Aub9p`QH9m!9C4rC}HE9Hc+u!B3kzx%|Fu4AePG
zndXA;Af$evIl(#5@MGjmyY!VRL6u)I63f4$`I*_xXu!!GyCSK4=42UIH}_-Iara`a
zH*$8<8@DUQw(fVWOQT84cY3xaX;Y44Nv<hX;7DWIA4YoD%%`q$=?WT_8d*K*QlsY$
zE6;Q6S%{qy?qS+Shh9`NB5furj#Vr1vFB;n(TTA?8oZ|l;S3)LK4KAN$EH;i>tr5v
zI3FANP;W_U+C~CJ80VQ;AJkm=-g8PKrCwxOiez3a&iT?2%FJ!6Qgq&-dpI_IaNoe;
z_#20RD~_@R2d6x7jvbSzU?1?mDJY~dZ`ri%PY3J60{O@dxwJFnm!EyR<X2SX>d_uh
z_^Y$;oy=+1tOqk*?+2W+Ypyshw68iSv$Pr^i{Dxom+-BmeV2ayvMC{q6<6D`9hE2=
zW{D`fRq@;c#n<DvosFyJ?{`cq_|Vgjd;zThYypT|FsGYTyas0U2D_sw%ICuIyuvz#
zo16Pd^O}=we+|AwzThqnmin=%ujOH?@FpW>%Tm$z7RH$VL6!&4LJXlvWMQd#8DQ}K
z0j-{+<No>M!jRBPNSx~%vUpfVW;240w0A3xTQw2-Ykcp|7c0rHNcx|HBp)2iwC3~4
zpiA2CYGJR&x0Z=1`0m}aS+Y8s|23(C(aI{8_RX7o=w~L0Gu4Olx_o4_RyLGfm}**3
z6&HLguNE{aZOG+#HZQ#L)Ct|-o#2V?Rc$cgyeoQC$jMrz_QMaSjm2^UqYJ&=E1e0!
zd1w{ax89@EGvU)FLJ#fJcU=npSg3QjgGzUoe)fLv<$DYx<<9~?Q+*8|L{|)PG}3<D
zIY`;hVy&RD|086~*noZ*(aY05J$~xkVDVsq!wJoF){8tV|MT=YHPe?P+eThm1!|ad
zr5rx$7I#s(F~*kR^|EC!@p==e^^ZJ4z8-ztvYq$p`cQX)oM+i9oMxVj%x%2a9_crn
z<nD{|iYhd$)#r~{ej;Bp5Bc6!y2f;)y8MQq=2^Z4?^j9lYKkf<hWkA>;97iG%zCRR
zID51$gPUt~rR-wCIveKmT`uTO>bRucz#PZoMZRCjlt=--JCh@Cn@lOhy_&G$tt(4B
zy&r)P+zra|d0N6U%x6D}>$v7Gp9u%1>4NL$z22V~8cZ9o-CuMt+VkwSk5ZYN1D98G
zg7mejFe$tJP)f9w-jziopykZYZzRKt@Og&!<f7%-G**A}M%8(T7AM2A`rm~52eyxC
zc63>gLovt$SL5w3%`};mkE=Nx{g^B;xw4mmyGPA*Y)mUG^o2oL^RouNtY_jrP$uD}
zBu1i!n?H;Uyo*kXo)}Wl<8EIrhRAU_bA`M?)>{s)57x!0$*D6<dzha@lYayN3%IRe
z4uemaz*jn#SlL;gtd&xNf;~q-Q9QmP>_1&KA&o7i&6iTo-q+w;Ax#}*b#2G;N%8>=
zp<*E>r8!2keqnv?=heL2<U8}QqZm2Av}dF{FPWqNYhU!IP5+654Q~U1i|?qk%9n|l
zxy}FiVJ2?@jRnoeWshp5`*0s4-vciO+;i`$kEu3Ptf8#@1c!5qKWdfE&x0$cdg+i4
z-Q(&Dy_2;@Wt=NC`<<%*@VdE1y6I;JoF~;1<ZD0PN%K%IW`cNKl-NQhFP2Bk>uQrP
z7tlxm6+<2ju+c836F~C+L4>g5qUZ8vhcfl{4w?lFt<XLRTg(F~#S9BGGa$l1oPoI_
z?HJ)${SY#QCB-a%DnXp7GV#GA`yW(zq#zPHElthuoZaZXNG*1n4g`S#825oc1mOVS
zO2`RBbW$yV(PC6c)sJB``SOu|x_$&+vv>{k!&&R0dk5a@X<0WA`V*1TRTssWPdhkF
zfWQMygWj1lA2BZj_V}a4c;)X2O0UNjnZz0rAY!iKrpz1;Z3)K+g7?rZ=F`^J?=M9y
z-vodhPJ;iPkx^%|kEIGkul})fAf5T6;d%>kfbR;^0R!LX<AmXvGY3^LW81Bhdd-!L
z9V~DB&u6_3-!bgllZ2die;5Nq7FCF25P;SSDhP~hhW3ynM=h<;`3}j5-HM8>SJHk|
z>8b)K<g-&$EC^|~Ht!J=Q0WQ#YGRsFzkW51!tL00`<-jBlyB%|nv(f8{V`@lW&-^V
zKc5HV;^(|D(?t&O1z8_NFU78=XGiZqT3@VPH}3I7?M3p6{$O!eNC}_{)#)OT)*#=)
z>*b)J#nyG|H~M*=aTMLYKO#fh)pnbAC!^x}{Q{DboBkva|Ka$P5Tcwy>0eJ36<W$_
zMfmyx9XmR=dhUKmND88T_+XpSvOz=cxq~y$k=&)ZexP)Gv0xg3YHrXsq;wzTHBx5;
z?gAjX1P4Q&BWy@4LgKQ@M4fRkCJ86{up}SR$o=11b=KcU;NZd1jMzbjfA(GpNEQoh
zG-}KM=3In!tC>4EFp%x{%F0C$M_)@7fGGGlH1vStne*obQy+lz#roj;rCodWfUO!g
zeikjh_<Ssw0z-Sij#iCZp@kE_59LxR$jUZS)G$Ni=H#^67oJC1n*aU#Tu=P+d<@sv
z0)gWc*_G0Xxc|63K8T)y0a)c87EhQNmXANh76w3hLlxBe3EDmXxfNV~xdQM9$PKue
zZR180bMur77`pvino7^dOcI=sVD`NS`xyW8zB8{{cqcfJGY)0ww>&fPpOBvPM7syc
zR|86f^i)<-U0oeUjwE}K3>61M8A`1%%!?!>*aHjGTinR)cVuzp`6rlvw8?$Y6BZH{
z#+<c(upVSQSPj&5eFjd5&YJ?$J-|JnDdS>cbo#QWub-fu1smIYu1}CJYrI?*0Q7tE
zvf{hLJ?^eQP$L$ylf{obf#_|zyIn-&MDN4B#F;lqN#-FO+XVzL;#6I^o*`5#T^PYr
z*Gu7A-V1PAII$|NoSjMnl%<syx#<1Z4^N8n(>>z?w-XGxl%jaJ1LB6-+P0+hArp?u
z;Hd)$ng<&i37g=vDInon`w|WHYDF5}`#5v|rv;8yQGiOx9CRE3W_aKtC~WN6JU>x=
z0Kr=jPrlQ-3Ka?<Kd|JnZonDWyzHqXSf0Yovh;j2Tj+gl!E?t&Slht$-)~e2@Ik88
z<7}US(zRW?ckAbQWY%2q{2L&MQ6J=|CwBY-37a&-Llh$Z6gjHG&4=kXk?+O=p2G@{
z5+m<S*b2!0?6@sJ^s)}2T&#TgKi9Use0+ZXP+9!9yy~0$tBr)xU7VMc<*6bUru$ep
zZEfyxKO~+VhrbTdV4S9tKl67T-&_Yb#X^joBN!4BhAsPU_~Xb(p@&cP$RSn`qz?5`
z3BV(Iq&va}Y4M=%r(zxkg$PEWOzXZ*Z!V7eKdgnZm@%()VDw}1TJ6`+Mt*fRuT1JA
zZOZ^{(?vs41JIw8--1(QxHJ}q@yyP~y_Ja=0h6-_d&<3KjTXa_<jsPD3Z+xq7Vgs$
zxhNq<j$@1j(gh?=Oaj}te=jVAs5?r|)ed_OT#GvZ)L`ET+Pbm$`G2jiw{PwHpX=)}
z2L``&_*MtnSH9Id>Y45P_t(rSV%!Y#!CpKB5Nr1Urh$%=LTSv-uS_UaWNfQwkTxIE
zxTG#ve{X$y;$t@9xO3~xSd@<jiKcGLEf%@Nz`Ikhc_QYc=)t{yPlA?2wx6oyzUdoM
z{NPEA>d8QXeU5d^-9fTZX|3PGT8;9{6c<8e&07a2v)rcSDrUVD=_ZVZJuAi|p@Qg4
zl-!Z*aDek*hMvSR0oFI?t{^fwU3D+p1)A_DA`c5px|n4%rZ78q0dwIdGe)Lk`s+f@
zBFT>zjmGgHwfs!Ac+o>c7idak?+S=raHVECpN{JRraa^D1)TUOq%q$N19QX!Q)W1w
zaP?F_iN$37AU$N@m~-$e@VEiDMkw9@NAbF=JhP?`Xm<!xalIeHz>D9D;bh#I^Ij#6
zfAlvWWC!qE^zq3T>#V+4%t)_Bphq}Xi;?GeC{+VN)#-k|kDgbXrbLSTCTm8nIbwiG
z@iw%BJeb*U!;>w7m|X~C7Cbym0j)*N@*t_~IY<xTuU*zYR}%(-eDa7*ndI&@cX5f5
zY!D3RcyCy2-l=DgMH5V2M&8u)bS8?kw6ydLLJDp&gQNQ}{qK`~Z+%Z_Z#sJMBWs({
z09Xj=Sl1n$oREXACXeGJv!m_p$Fby}y>Ov##<Z}4j4K6mq`5g4eDz+XSLcK#!Qml?
zW)Kd5J@V7p_k>ri(vE#NlwE9fF{_QIa0^RHN~#UQ0U4}<V{x&RvzX}DgSwka$5dE?
z5h!NN`=q6{_4M>01wl5ZnArUz0tPPaH-))B(*L=!|2~H-D9Ioy$2wvDQ2qjYQLr20
zEx{m?^T<<Wed4j!5JM4<KZNb$6FW!?9+Q1CI8v~tnAWd{wg}2KGB^~r0Qbrq@1>I&
zc<<j2!51SpH`jY{@;p{7P!lAro3ziK4H>R}!ur;?Q(NfqTxW<zb)Un5sB$k=y}5jF
zxC{&p6<0n{4vP%o!~TJeT%Rv3FTFnOSQ=5ou3lb}{b9iS|M|b3>_i}N6@o88K44kI
z*cmc0yz0QyF<47OJfX*1vhRvgCsVL7)5Dk@3aQ;9BKMa35Ip|bBWyKsLSJ=OlpuCQ
zV!YyweP#ANHPPmcmF$E=dXrr#j(N*L?Hm_d>ml3(Pplxki2K!t$wg;(EkT6w7tn}R
zAt>D$<Dtx)4(O=J89W{vys&8|T}XMAmbO0(b@06%1vCXmaFX5fjuQlX39l2;sdM#e
zKL+)RxUL{SU|#_}6GUtSqopqO=aiX_;1^5K|H<8`tgp|6r7d1~)NoOx_V1sZm@pB9
zN6sr)C4Ktz39cT{tH2csIpCAhxyppkXxkb&A`|xn!i_(GkzlC-TYP8dX;6bQFyi;N
z?>diR3u;mh5X-#epg00c07lf!_4OAtH63S0@T_>vfPzpzix7H9E-3E9x#=L+d)pfl
zK9SI27DpkGQnk+$GY)8t@;icL=jP`d8ygkjZ*}X|Ex_8rgCEJg6xkD|rd`;OKs>mH
zJts6Y6uuB$Af1!f<nm=#*p|4tyORc1+mD9|u)>}<2*<?y#lAxRJeG3|sjtqW|0x71
zQ7LEuh0lSt@3XSzz>7o4b((_p6nWt_IMAA!{hx#pTRaZQ3dz*N*MAWWB@Dj$^!#vs
zE4G9~O!AM^<7E#V2o=@e8c5nNk$zi{C&Z}7ll&%V`4;<ugo_Og_|owlCOr^dV_Ocg
zbPIl~mpO)oglqgUs3Bzda-aN-Q{X@~HT^%6*$TY5^%L-Huhh%cOIEJT1l~BR$YTAF
zv0(==X`cX<ByNE}=K+tz0`A3d_pbnM**jkI5g10myGeUqoKgD*jD27&-6sLuKhm`?
z^dGPlbnYGS*vuIxfa$mBA+X5_oIz~a0K8nl+i%C$Ythev3q-bc>jPVcCF#IDXTU0m
z<Ked3dD?n<a<+=6{>=1Q2HGF|ot5E)Dx+LOj0N!4)GIp<d6p*I9nt$`@F(MB%BNL}
z6<Zn`8#e;i-zZE6+XBqifxs0uPl}3xJ8+JdeFV-B8ul|W908uS>Y$f$xU#<f|I=qF
z&UOq8i#b0qJUIls*H^+6*u*H@X&ElT1X=;FAfC7X@3$8oJAv`%?PmeJoE~_F$h_N&
zfRoKGAX(rkEx<KWf=<A5v3>zplezn!sPhJPr>CnNV4k219H9z)+^IefbWBG(Kd=v$
z4NM$AHMkfQ%(_0sGB5-KZ}RvHjOpm;XyA-tTy*qrU@4;q+=eyPYwPyyz*ggO;6h~J
zOp1NUi-3Knc@$fKZJceu<97cWX6*qs+CT@9T=7$z47>oLQiG3S#ww7Xp97Ddu>cm4
zz_~r(=EU!(wAZKn&foE{4R|K;8{i2&=aO>|{{`kkV5jfXi+{jWo3ne%mJncTvFN1x
z3t;jGUI+oqSipKi2e?-knEimwht=!W<>lnq6g@csY}tK|m1Q{45@ujxGUdG#uuN-M
o{Q-F8CKZZ3@(N3YuEzfi6VGv5G_Rbq6X+ZUPgg&ebxsLQ0F#4IzW@LL
literal 86052
zcmce;WmJ`I7%sRe0ZBzbNl^qPm5|z`Qj$tZE7Bkhn+63FY3U9{Nhyg<DInb?-6aB>
zZkT)fotZN~X07vMX3k#A^}+sL-gurnuj{(scj~J0WasJ5BM=BOMTPs15C{S(1Ol&)
z2p7Kb!oME^{~>lz&~-*27~f$3;e^g_m?02X5sLSvHQf{cj(fOM4NMSXBEMTDxMXzq
z_Tm=Zq~>|soL@vT!x<zsEKS3E)qz^)zHGP(fvjdA$xU_2OW%st&*RDx;81I3elqKm
zp-pvB8u_d^A=&BrA<~qOKki1Px1<_#N<?R(NMvs-%GaW2c-0MiL)cFZx56s<e?KDp
zEr>Ax<3~Dw1jT<prsDi>`;x^PCH2g0bwo=`>ysPrzsr~8X=JHxY;0KX;YvMoaYGxf
zN?0lm<r}uOw)U?PU=Q*Cp7*#g-F0Q~-y!NRXmkC}PJIryAEIghogv<3b);0c*!=4_
z2|`82pH{hGNdEr)FYp`oqr!KY)Eb2&mGkW_<G(Ku{^zdN;r;icB?1@u|I3$Bb#Z)V
z56bMuLm0(AyUCZ3*<Xk2+$6<e`tNd5cryKK@S{Ilsm&0Nh)4x2iZu!!zQHBH-je_2
zXH6kmXzU|UKE56JfBlvE3qk~j>eHuBD}#ArZhwDwBnV|>WQ>;D2${FXPWm1_UmL4{
z?~IE~iT9T4Uz4?Ub@`p0?9I;14CWhp9d0id6&20R&Eepk+g=@wp?svPTj4nS>)spk
z`T2QSIXMYT9Uc|C>W2>>T!s}~T((C_ZTt@AV|sgg0|Nu!FnL=3{`M3;okQY|GY!e&
zUY$u|sH5H0w{PDzG&H~?h#xLx5EBz``;U!{!AT<7)r`<?s|y_op4Bx*)t+!Pld!`R
zcX#0wl$>P&7fsvl>L>-HsLRfuf$Z$;{r&yB&qqk<@8+r|iH5vUiQ}8!oAgT&L#+i+
zNHkYHHZn?1PWJu#yKrpGAgJ*o6%`dT^JI}(TaC{V8$0`!<ZC~nSac4Ulb+rPh2*ii
zfq_Aeb{^bg=oNmpYu8?O>0=i-9&7kh6n10fcb<=w*bL<p5D*C3{=Uu1I+s&WBkK0|
zv9)z}s#{TUv9Zt2!29>_Gcz+=TU(W4c&hg%ykuo%zkdDNC2?e{t*tF1BLj;ROfTfN
zHWn8bS7AF`G&S`^`+Duk?r5d!%3n9H47uR+j0|4mn#Aa6x8wZ{*&v!L!Ey`V{`~n<
zHsQI_opvuUthu>aE|@MVCT4MN&eYso?*4sJM$wN<->nC-?Q0I$1O!U7^Yq{%@R+-=
zNND-^`C-Yne-JWbD83-Qv>rX$oC)GJH#55+6A>AC{n|Ai<C-e49y~(w_Bj5m=cC^l
zVs6JN!?IL6%|B3AS0Ar*%}7tTo2>EKm}%Tv>>A3^34QG>(e!rd*L+)yvDd0#WXs3c
zSj$qqt*x!v{h1)JtJQi6Nte@eIAED_EZ{x+0R$v8257guhZ%Cti=8SD9$X6?t8}%2
z2n3c%)!+G^niE!Fw_igI%xYwHcV}g&04(6-a0eDDDk>^Rr@-#_Hx`z;#S}l^`6wN*
zOL7KbO!M{7Z*;oVo~~e3#=Zw;dMRD4t)4prI$bG}wcZDti^*OgBDTxDpWcu&^3erj
z_W_*DvNJb7U&8Hg>@%+Q-cL$rrzZ(Q_MP}WRaI4uL9}O>dWsb9&6X0YKKBW_E+cM(
z^4px8Ibg2N3+;-EiY$R2qoS&}I>qEenUci4cH;$YW@cx{4NV{l>Es(&{r)yRYG2#I
zWv63k=mUGGS8BZ>DR*Benp=Oc@L7{p-{;0(zb?wu9Ic^;i!H!hJLiRnz|aKFJ5S*t
z1b8_)SNgwd{P^)h*^@o6KUdcoeDqv^w7Q1tpZ+)rAJO1)(ImV6FAw2XXoBYVH)ac}
zcj;8t1H-)5tM_{3nQsJog9~>C-@kvqYInq@ed&-*CB8eb%AzY79<!IWz!3f2c~MoS
z8O-;v`yR!eX(TIaCKz@I^#YG!Wr^)@Z{df;*x3DF^!E6Kgv`PYb=IYuRe}=Ltt~AF
zyQB8REPYvOS%q<w7q46qfi(d?+}zxRFyd@5(;CGY7zUm$%A>-3@#5xG00p?{$Fn=v
zDlafIOFAzo$4?NmfR{>ktn$=K!&9d|#AcIt)Jy}hOta74cvB{dgM%X*Zs%qEpV6{{
zXPSe{E&@{DEql@-@`T9umK=Zyhzf1`o$dMM4lhGAP<Zg5NH0(F7=!0?<NEb_>(aZn
zzcHsr>wCXBa|S$T8r})o407p}EOiJ?CQAC9!ZKwIt*EeR*xB)P>Cg6Y(xK=Dt^2_m
zo38J8p47d-BW7s|WnL`5Z(?$dWe)a|o11%Q;qry?rJ(|2g=R^)fl}Myi1LH~%=;;k
zIKqG7WTS~WkW#zu^IFxGs<es-Pr6)BdOmuHlY=9X{^|K0(j-+>6C(;-VD-;H&URD~
zE$>B{cp>|>LZ!v7loWo8POx}G-_p#?hG!(lUX2^7y?xHk&UxB7Xx;fxiNl*o9un@D
zDe&x4SP2LV9r1$B$mA|q*oOs1;)CJvjI4Gw|F;#j;EN+-;fZl}Hb@SpSe$hgWn^ja
zxaq5|PRY_>UMwQ?lXT9_H{31iAh7gpbuonO7$eWG5WB$fAr#nlr%G#TULwoCF886_
z_e7LG@U&tv8PWp^i5e-ff(%O4pR>8?w5hXgmPXaT>IRYS6*_9mdN8*F{0_2|xv43G
zq;KM23nUy34GsAZm!;7ii?E6gr@tJ%17Pc=GAOYIANpD-{_t_EWp-wI`ZW|UpGc(d
zBW>+p<NZRD-Wrb{^=2wYLbfjaGm$&u<?DM2r)DsIN}Y1B{a$WHzsydAS#hyt#YJ?j
zdL<$v!pQevez`Bp!ouQgvyB(F@eDRbr@-j>-2`^k#OAHb>u3l{2w!5ztWsM`nB~Mo
zhDBa83k%K(MyG>KvqjqF+dGFlD}9o^8`HI?hny&l?OYmey>GoopOj)AQ*eQ8P5Bfo
zi7CF>D>kTfc}MxE%+62(T|_`gm<6i`pU<DyAP>SOLBf54Th;U|^UpcB<o*>d6GB9)
z$LeSqd*Jc@Y-sMg88b7pHx$g;HIiPtf1hgAhB8YgCnV4_Ftl^=o`LI}BP2A2OL*xD
zR~xAj-Qwaht*&vLl@swCD10U_qoAtV36IJc3c+lm(v_1X6Y{c5!DzM?r;LJ!he(r)
z%itX+7i{TrjICSz7X+<(GgT7qYUk|i3>jPSc|UyEldD_YZeF~3a*LBQLDElxA1NUw
z<^^#+Fl?gQtEsWEhc+@I;&5+WjVMmYe&R;}Vcge|fq?-Cec~RQtS8qEADm!=U32pj
z^2ept13Jb&vc=UU)z)L>8+a5*sne0yNg|FDRUVKuFI>0~KuEDr-mp2}wzoFEQeIUx
zY-?2OE6$QB9dOR2TP)>S)!%<B#Yvh5WeXuhnUuTF_1xTcmwGbj@7i9zcrhX=iIIuv
z6jrZ5w^(j^dT_QW)EG9v+S(eb7fw#j<uB_WKYnb9WEW$)>#;cp_Q5FO?G87vUVG;2
z<mBYx;o<9B(`e$c*}`t6RRt*$5*|Ft+)6>MQI=}b@87>Ub@D&P#Dvld*+F8+Ra}qQ
zwuVB8w`Si&TYC_U@y}qMjQ}0wXag-RY9=NLo59@uefJP0gK~$beV<j<tG38jt<B8l
zQ~XYKA3l64KnFi~oHn@+lfh14bg<#>^s0n}Z{vGv$bD_i&E?()PA)DkuqI8x^n0_R
zk{73Kdc2m6&kl$D&W<KaN=hKLeJUvtfVvMBzWxn`MIM^w;zd5VGPcO-N*0G0($(1+
z5)uMsiX+6B*wqzR(edMhEr?itn5iF-*&t&=9w5DZI~6?qXm33xL#L;wM=6?X7?Kif
zETr4`m>60pkv^*=Jgt9y<Hij~<C%Bt$(AD}%W?b`5aOYf2nYy(ItrFm+_X6?FcANL
zK9?wZJl~DE1e-{zz4oAPOC4dvK}?w)Y|ba#eNHD}+3k0_#Z15>Wc&Nu@$oUXQX}`-
zyHGRCiSYN|ftaqEBH;sTlBZv$jpjwr1&F{x`R1gj&-|-;yw)n@S8HGe5&mV^uyHK?
z^y&0qo<1W=8x6HSy?xcg$B!RpsWMhxqr)C$Nw<KlJMfB!kEh=-LtYcObLWnPL`_xI
z@l0coc8(w)-)8BMQGN0>_Gn)O#DhBKhQ`KVCh>SXf-^8`@aQ498L*FguStKrpT{0|
ziu3Qd%fY`k!19<SjmGV4$I2g$lb6pWRAW0R%6~~5dniHxd(M9!DLm{Q|NHzezx)=Q
z_=J|%2<eVV9jX5JC*7H&W%fDa1c*FnR{l0I`yE3_8~Cr+K_KvHNYiN9ZW66u{_g@`
z5Y+BJL{V$U5I<UdqTathFQee@UOq;P8<U-rvs@-sF!bittFPlp2xzLz3Ljs)cCCL+
z!M|v96-xTRFsMfZex$mga6b-M3np~PWn2gi9WddGv%O2t!pg_@Xtf6a<{|nf7Z-F*
zIpZ-1t%naE8XBq)g=0`XP;+YM8{AUVK)g7IWAqKo2ud{dwH$CrN*O3?=W8g-HMO*4
zYYEN;;NU#sW{YgGy*rexrL-D?e>0)OZDo*K=B-gd=(~3h(PB8QCWV)1X`6oif++a!
zN}8IcrFz6Hj*gDjdpD$pS9hVBk&}~4&rXYm?A6-(Kt>^$PEbZBvxQtlL<HPyX6l{9
ze~a?}x`lhf?2bK?x}II-yRN5-0i;fQ_z0<c*!Jq*ryGI)?*RCPOv?X%)0adK(f|5V
zN{0xIU~lr`(bfM??yByt)5~GoyEy|Kds<7MZ=E+FGAJ6h-KIj1hpfNUTSDQi*Xm(3
zrbytQ7{*YY<b*by@9YpaCN}Aq^_ZvI*zWgrN-2DN_ovX$K>PFXVK`rm#$TB!Rrm#p
zgpq0@%l%vGhOVxHH6(vHZryr_Ch?z?<=~G~W{Xr@HNqDq_M@eyrKLjB;!zUd7+p?M
zrKO{zqo%&G_p05TpQYi+?Pebqhp&~D@xCN7_wLpI{Mo;z>YtsPTk@DIJUrYQ#fmkK
zq9Q&S1qX+3J(ikSW3n!dSN;rrXX;gD4-I+9j@;B7m|9<lcc(n(DJX_kcCa=T*Rk;D
zkG0I(9!pYk^61Qtw{MALh<uB2-ufeWA1f%l#eJ7wR1`t^a_I|AlBztOw}Zp&8WQV5
zy*!#A0$7w-mThTi>3yCrjV6VZGH`334(0iY8Z~`3G*W5krlJmpX#d$ip0}l?rNUc*
zVHN>_kAN+_eaTG!pBepcG@k!QEB(JLD%Gh^1sTGpeNo>j`)?8s0^{@Le~E$kTOY>0
z{sM6d`{^bHhrm#MujU?D`-d#~e}EX+FWt6&^XEUKMW}&?PElAMFv|Y(9LzKLox_2v
zDuZZUylE_i^dH)EdLD;K%BT515Nhh-+Yv?tk?`A<UMHT4(cSN)o^u~K;O-D{bDt9!
z&SDd-HFMYz2o4znCaH&Oy<(5V|J{qjJ@7~}XQ5d}{%LF&t~+}|B<}B2-uBl=`JUSq
zA<n@owQpW*1N7D9!HTr`0(goroT7v<qvM54+&>fu_dG7rUuGYPsw*Zw-Oog^dSlOw
zVUK5!F;-W{td>nCLnj2iBxFqhJfJm$3V8(z7*kW$m8tFRZAeiSwpm_#YhB2#56342
zw|d@kHd#9B%75EZTez$M4_hOb{dDy_7h_j(&f^9qgunwY90?&IRO`oEZs?@bI|2gz
zrhHJR!e@OPjoSS?OhzZ*Ai>GX3J&qj$i<fcH`=?4K#KfWX(g8U-{Se+^TMgAtQ5U@
za|yctztB_`n|EBheqDvF53&~&#fF-i+Y1TykQ_A&hKf7?{4Sgg;;s4e;El9Qh^sBx
ztLJHWvvK+v?AG&l|D`V}?U4jLW?I@kNI;Tj$6N4>8F&l9a?hZ2v6AR&Ydc!bO6gy_
z-uzSKoRZ+P#2o{vh`TrD0t_F;bjPj!kGndR_M+YgPXy;$9Mb=8dxeTh!@wXhAtA@R
z03n<`Kl5Ozd3EiH0u-!nPh*4;2zyK3I<Gk=b1x{r;PxQPU#6ka{tqjIrd*J<fx>>$
zxI(FTf+7>8`+M?Yk&(gmM`V93b{^c@BEZGrUY-@fMeJYYnm&h^nk*3toJfLp3v$bf
zOC?nH!hV91l9K%VTTo0uwIm6(;2UP&{W0e*Y8o1jNj1!^R-KAFiKF&Y`o!2xKfe`u
zu>=a&8gCJnOu#Z)T3SMkvvrFXFw^z=rPfhlVU*O=TI%W!bIswf@oh1@T~IwiNzJo@
zkv!S%3nZpWG|sYF7%z9c_nH3b!@n{TcDat{n{<w1UuVWezq1`tAuxHebJK*?>a&@7
zF+^gLKTIe;>x(9%qnp~J0mt-neYwnAr717t*}ZP39O+G(niM|9om2JEhEO|Vh*<WU
z;H22fd-2AVT3{hjr<lq9jo%)AxWjSPk$%_$Bf_H0elj}y)}c*aWu;#BIUL+KlKAd9
z1C<WbKLLh=)<rE|;N8x^+BjP5^v<nYR{NM~Xd05B!HnY6A!iir&(Yx}5F-hs+?@Mz
zVLNhuMKUt;N8ztq*M4&EIpg$nI61WYP7zus|NU{o1?BvGs{J`!#MP^o5_O}t-vM8N
zGOrQ<tYV9<&nvxNE&y75w;MkM>x2$Ipbf!HL-Q+pPQ&G+FGTOMlU-<5FUY)nd2A7a
zC-`(<y-AW!@pQIJs6x!l<?>P52PHlqjbC(G-g*@;XAv>u&K}zB8~N>vf@-@r*BoN~
z0+3?$KMHkwf^W9lm5tioCGZ{FcRpr&Brzb~qMN5J^Hw!$t9DXWZ#qDd;KeUk?p3#I
zf8LC{+*Xc|Xx^ZeqVoG1tE!hbn3{SuNtIoGb}C#*l3=a-bLL4hE<Vw7LihLyXocvg
zsQCR(y<@^hlc3mv`WkAfieqbVx9|3oYsa48A7tn5+1lndGi_-<dL%>iE+i!SNan$V
z)m67|^?}p(`t}$de3Q-?c6y#h8t`l_*g3kNa`(L<=RwO8vDmfZ<<_!dW7YANf9$Mb
zl8*G&Z%$NM%a8A6X5H5<7>;hGU(kwGW-A`ftqY}B<6*BxA4?n({*RJM0Y1vgA4bNB
z)oFr0m6r>Piqbv3#|^o7TQU0Wq%0fi><y(t_a_gd{$~k~Tqo#DBHhp@0K&>;+(9A}
zyL2B_<JH~d=FZE_WevP9E2~(FD{yi~g3XJm(+K-gy-7e+K71gJpI8~lVPA65Q%|S3
zB#pzcJl>>b`}KkZ#?5-&sPjtlb^Br_hQGoQw<__(LQHp8BCZ{}$V6tLxWTDzwm<z@
zRT%L*kvZ-ew-16yN{^A+3eN1aXUJ9!UTJJeGCVvS7zT~j6;DDFVRr8{r3UmEW#@cM
z1GhxiAC@z@F~*kcrAp)nHovB0-Y;8g+7Fu8wqzW0MMCG7aHO0eq4|DeMl+A$BK+0k
zNii-1mG-qKgU>usI!|iB^xsjj6R|+KADt63RhQMeeyzx+F`6#DV4z8$Az>4(>77R5
zOM2yBL4PT=nq^y{8Vi(rTd&9P8XH093xMZXm4~zF@Ymd2uItyIL2SI6z|F$K5*Cwc
zAyYa!JZ`<^l>FU!VEpLaWV@8-SB~Fj38|gBz7`S|=X(3R($38E9EOFPKHc!Rhl{@{
zg7CLDp`MP^2)?XCfjCw1!Z`(WcGB-moTb6`Ztd}ATPNZ6p8=cp*gM<K=y6}j2jEZ_
zu~o-C85yXPxZBv-*lJD>SDrrY&85s?>1=d3eBbrU-BB3#ds~0}2$~iZm(&?Z+e6j!
z$$pJW7AftJtW=Oks-{u0)ptHb{_=y(a65$m*|dl{!w+i2RZ57$`~bScC(*dz%a<n-
zYRbw0@Elh-FXkImJOc1sSN94vwJV@pE=%2MfHopy_;=VD?hPCA^s=$^;QVI1Fx}Ty
z)jEcIhG}Q7?wgVq`&ClaRz58ETg!M6UzI<vZE2~<^6!bKyY<7ub0M2z2um5eN=3`p
zO$<&5L`RR2f9-nB5wIB32f{K$EOHqeg-uLee+!#TS0g6Fc<Zy)#Zu?8t;T}t(d`(d
zMMc~8sW7{PL|V_rG9riIG_G%+ex|L_GzP_C{D$BY%Gh@jQ9=}D0p>@e!ec@>gV9w~
z{XDQ>nZ7{Y^0Mg8bM>EZaFK+S{0a4i5>-}_1LdqI+cg9!9AfB|4{EL#vB^NnjtFyA
ztjU1GQv~H0Gwb2cJ15m7;b39A7(D-&o2Z&`kbZ__{hUyY_{WUVYa`nyC<??ey|yDB
z0%JcyFGFz}+%>Wv@}lp^>^Bro-M6kF7vG2(_srsMzP$NulD<o9Cmd(`xNSWG^_$j?
z8G(yKRdMGQR3znTxD=aC<YjB`F<+~_M98PI{7kDA%Cr{C@w=pVLf#a9x2E!}6g#QR
zyv^)Aa;d>k^0}A(W-g*w@5!11CxL0+HWfnZX~i-dk^n(zJ^L$IG)Xn94_aN7)ta|+
zgk=aMT%gw>8Ob~CY40c0DS~U<{n6c=%5`w1q|yjFM{E$gbD0z{oe2X?by>p~n`kkJ
zPzK~}I%Ve>kM5zQo6!2?l%*~Rb*9%vc>YS@z5wa72O@WWKLcK*U}PL8Sek(8RNCN=
zTgA2^gow4DdF62!28(z49i8*Kz0qzyBGqC>A<u3}l>UZVPqMe?NRD-x6jt3|6WA6o
zFaY2GVo{dW8vor?TxO}>J;tfpX5@-O$P-?>X-|>wuV_8r@4e7%sot2Ix;!HCIo>A6
zd$p*(#+kOJj|#hg-3<8qbw87)tsbCsR8h!Z2d);qJi-Nan>(bV6VaJXiXnJQ7%wZr
zE~Omfm`kD5uA)zq)nYXzoF6<A+554Hrf~aL6A0krNKBQtVIbyR5U-n6@RIOI@Vj6X
zvfY`Ke~<k8jpr1V#~07C#cU2lwbRXu7|yiT_9ZX;c4Uo2{&YofDjsTn+pgjNuQK*G
z{>iW}^|5B%e~a(}-{oYcTXvW#KXoTeRrv!6c?w1<zOGj*J{;3qX}^s&jteK;sJ(Cz
zQ-06_J{F|REJCeM_?{fzU}t~x=FOyI6Qde(qXArWjL|?-^J8@MUC-?$2<`In@+&)s
z0Nev}R=qQ*UuIv-sRe+>(6UP?a<i7Nt=w_eg&ct1*`gERklfZMs^Q4Av@~e<x%Eo+
z_iE1o<grWWSjg9r1UL==y7ltekZ<3<0kH>Y9;2kML4N{{1R=G17}MEHk(6syoAapb
zg%+l=#P^t7&A*PZmFP>Wv6JN}vn)gE@M#o7%iq3N)n?Uykom;x1ucWd>m*Wr=|Zs{
z4Aj0G(@w)^+_f8Id=O&!`S|#dNQ2cHDJl2eVG9U}J`17PVz$~73)}(&BVyiudGH62
zp6}kh15*v*oq(tL4JcO#qkfh9#`ou=YXAoJBn`vYb1jjK%=nMFqK*Ad02K8zgisC#
z0OGmsJqTQ3vd6-ephlUq*p!r7v$kkR5WavM0`@~Yeg$&@oIk>?ZQV&tC5wOVorb4{
z5o-8G%$1449Pm8MUy;37?;ge8qZgAklqNnF`<3h4_);t7W#aN$+AH}!R%{KA6>S5L
zPlA7yQJZc;QN2D~%+A8{baSp{Z_HWE!=q8gEDVA8PYZC6Z-~BYKLMblpzra%sOz8Y
zKRcm*2>rZ42+8o^dyoNu7XWzt`>-vn!f=_rF~B3xjR128zLJobs2plPkUao6b_jzA
z9}t%^&0_0Sk@4}ZB{VcN3%~cXwQ|^$W1p0b60;=11t9OjnsU)7LE#Ncb8@mb*~eRG
z3#WtR251^k1D1fSYH1CCCj!(1f0(5l*ZWl?3%ypU^rwvM(kleT*>$a}w0gG}d46(M
zxFr=s%^E8P8M>z;ag8U^+0^yg-KO*Lh%Qri^J?)Fjz)A_KEt{)6gA!~XF(a`$#}vu
zIt6Suu9H1748NY~_-0p%a*9~HTZ2B?PapS~o4^{L3~<s~a%KqzT3UJIE5PLV<KW4C
zxcszum`yb?HY$pmj;@u#{`O^TGGr3>{5IkN{2?%~B9`5$0Aym#pV?>of{!>CS1y<?
zK&e@NAA*8xx>H}YB?G~Fx+r;8IJyc83D73cO<!hp7Te>1l@qBpTK6{5)6*OM{v6zn
zk(pV|I1cD8fRZIpYhyqH!%~Ze@FKWn{0U_h(XNR^>22#s_G<n&6-XoX3lj<9xVfZV
z1|w~(%PKv;J%*9eDjSj$v*L%U%cCeyT*RidCw@0&l4{x0`g3g68UXK$Luv(zt-zq7
z$aO`#iHi~TEpg&2P`#>&!j8amrugg*N8C_y5lu=>t^!(_nwmN=3^nN!6E*SGyd%B>
z*<&eSH(nW~xZZD5Q2iaKnx8*^;t?Xb?vvF};4l$AbU;?6u1*ec*J`}Z*rV!vd!wX0
z&*aYF?5FYIYMsxXp?R|aa?axP4?s|f<~BSI^@1n?kU4807{<6+qT5&SGa$dYIXHkW
ztN@zy0F?nvsJM6%Wkh1)@m!?ZreruJpF8G>d4t5gf+5s$?+tNraen?j>r#OFNUW*6
zq1jeYj2NF?l0)%*LY;bjzaZ1A+(vrtUSQTH8m+kASswH!#LO8b&qw%8rZhKa#!C`+
zay%ZRd=j_#VE@rTj!)M1s+c(Rtp4z<72egrAAw)++`K95`sd@8j<b^!Aco)s5pi)I
zzyJ)!y9I`UNI?2ukp-m8KlbBIAW@sm+F*Oe*9r6DsOadyFKNEvr1t?#7%;DOR+vOd
zsb6#Ty;k>Eb6ur~(I&B|rRMeGk5*f*ra*5`k<*I!E`RT}9gI&(s$N<7++Rm(p9_XE
zuL%(nw^x~^Z~&^D*?%N0{R4PE-GW+3iM+MPMb4He%}0-}eW9<YsMwAK1ogaVIOU@p
zZSI%?{v+Y;@Pkyt--Jw>Q+NK5kkxmRecoM*8bQafrp2pW_YRr9k|xfye5^%~%;@e+
z973s7+aT$F)a>ArJdO#Uz?G6p8%^V9wnh<3J^LV6CMgKXJ1}f>)9){51>pUFz}G+|
z0VC-W-y4eo$^lB+L=aQ_gap82@E9Z_;_cR@=l{rAS=~CpV!^-3C|^!*_)<WOf6d#j
zgQAhZeD5}qXj2~-CO)cvlUlmsPHsnA_OhCFpX*ju`zwRwYc4F}X)$46*%4QXx^}j3
z5Xx+2_Y5svvhE~r0NYF{V?C4)N}Xkp0u-q}Wo$PF3i2e7Jd@BN5V212_}Nrk&uq;H
zFE%9AgKFl9g7#*&(9Ch~36F4(I6Bnab+4X^w#xH_PeQ}#=TVT|JD@k8K79nSELJBU
z=#8W#6{0JWzE#dZtQ%ChKQs`E9rQgrK{;~!GvD(cx*KzFw-m)IeI=QPZqZClbCS99
z2J;o#tIs`kHvVjKS9G1PUsKgAROUuqmA?R;fRyW`_ZAs<cJVQg;;&x43Je41zs<X_
zxY(y=@EIl3e0p+ZSkw8zscdwWhoT&`2mro-PHA^-T;I@;+l5gKW4}L|`jp|TzU6C_
zVt2ItMW?@2F%-0xXFjaIl!DG4qe3}H#Wc!#*8)myLUWeH?$Hqv2|P9>ucI(EH9g+$
zQv*8Kr1})N?mjiBgzqfKn*a3H){b`8z-m!|1v4~ybwzL8F3?*+p?T^@z!0bjAa;Xn
z;|zk@1t+ShMaroY8r18oud&zJbLc&(M`MyDQE|~-L~e9xs4GHycgVuO(yco(i_Od9
zG#9cVTl*1uO@5-DEeZj-;v3RVNL&Ylrp`U)JFHoBKDCiklYiZgn!~SCFiQZ{{d}RZ
zOY+QnAX_Ui>>L@L@VR|pprC^UXUYe_<ZD*4)7Z^5NG(1<X^b0w0xR5(Oz}Nz8Nb7C
z-oAgl)dlpqk^A&3X!{mB7O@RiSXdY~xlD1tTwtlQp-y?b!dEYr-0YoPvyKq&75R0v
z@Z0?~)AQoA({_34!D2)f>cISGPHf}>muJ?o3u^LT{n(skKUo8oZ97qQ5UD2N0R|6@
z-}*=?CpJo5ymYAq;$nBV`ofcHBS}y$L0W}do`5i_@mbkwxaiY>wK&vKV5J<Kobn+I
z;6CRTa{$3uTtlx*_?;d@I)+>^o_3G0vPoZASs5yi<vS|z0tZVOp{FP7emdIP<UnXb
zyas^_NL!3tU0s3Z1QsroQS7@}8x8(GA`rp+c&yQv?N8sC=x1pa3-=T{B=5CqrP8Za
z9FZ7tHvL8M0fOgU3)fq&Tw#);cCrmyC|UrAVRblSr|dF35YNrI^<Sx^zvGcy-Du}0
zVFqdxxC`A9%bu|cXGUWRGBU$LlSc6Kc2Qr*<m_t6NY8CcE34&~1SGLT&`8qo8W{k+
z8iSLZEDRAlsBy+!8%RsFB+<s>4d4ceC@4~p9!^$PR#0ll$(_pyPrdq=i0Lim6dn<(
z$0)*T>p_I+s<`xHS$BfLvKVU(p%A(L__a<`S7wSj31JpyDQ+C$&y3z=MLajB#!-{2
zJsC|<bz!N%t%VN2q9nJw?_sG|fKn1E$SEk!4p$0*6Fti}u04fkfEN4Kt*?-7up2X8
zDabvJ2BI+)C{kYCqPd25RKPofdWeUDUc_k*p0f%z77ABTKaJP;j6S)IJs9#8NVF)#
zx5G@!$VSqf%l28y`{AJJ`ZsE^x24xeqW%YeHO^SakLHU@?Aqv@N4-{~p0+X^pVfAD
z`Z#&eWEi?JF`Mh!_$6YRG2jjv=308uSc~yC$KmM@^I}j?1yQCCtvoX^!BQ1PkGUEf
z8w(2y+antFvRWD3lWARzUzA;xnVFd>S6eh@aEp<-af{dazQOaTf`hGL&2=H_{odY3
zbi6kGUswj5mVn-ZS^&0A7WU$X73EcjCu0Q1+z`8rn<IVw7e{ZdqF3z_k9lUzjrFyX
zcg|;zVVfO<_tm;1e&RO`O8OnUpPwnKSsu<`)}@4~J%>lg`eCd!6D2_#vGbLTY|%UV
zGu3#xa$tTsudy29%MzKn1SAe@%VZiTg8BJ-)h(#e<Zjz3FRSR2&{>%jyKxCmDZe$j
zz+H{F8<P^_mE*Q|{VH9>SQ=)zzkT!k-6X)8xcB4H@-w>4S9aV@I038A=E`}P*B08n
zJ}hmXM3FmJ-v2#K&J&vZ*E4bFftFTOqshCsZyiwQSsK2VecE~#LA2%FEO`@SBmJ};
zpA-5HKU5a=_89@xH^(|0n+f*On?f_2@7pO}2A+g34_ZrPM;165f8NpGJvr4s(`zm)
zD(W>UROn@6jI=KvX0;-_ntHX4#JuovYg=1X1<l^8=z_DqEf22?*Kj<S{G=C>{CXFF
z&8?bSrQL6n&Gi-z+unDXZTW^D{Mfx?XWv8u_~H`@3bC<iKx7+yZoBObMP09UPFec2
z`JK?PX3bsWQZ;XSe*wWffQ*g4%P*AtPL3pAcKwhz>zHw+y+1=AK9x7y!(3B)GA=Yf
za3+b|y`7u0GQ>%7bjV<9Cvl8Q9-?2VKe33!=mxZyUIT6<9qu=yZ~22<MpKk+)uQ7C
zvG>nzxW%s?P-rh|6hu2HiG;{gFzBET(%X1$-Hv~f>-auKtRCH9-S;dYcbmr(`r%XU
z;?puHlbi1JS3xV*{>Wkb+k2kLt%I_cv+vG3oR+=*$*4|BQ@BNNX3!8aB$-6LFZmI*
ze-1%xpJ~e4g;%ZL5P~th)@i75tWVjWD{o|^<0^54N?xRI>pAmWxRyM0SWnrurEp>H
zaYKH2c`W5MEgJ+5f#luzrs{<F*>mgX?JGZDdsXIV@jV8F$RakyqKyi^hM_h?70AXr
z#BZ3FoA1cVP{*#2*MxQnxX0ZMtS9wWCrD|W@bUWu2|fAS+oT1L5A)tmVrLCG4tE!v
z4NEKUXX>8@Ysp%~Q|tLIx`$H`>lAOXExi}k*)hoT1Sa;rlB!^lME}|aKuunq_eP|B
za$iL98Y7||nyXWTI6Oq?Jbj)YRWr)-1u%)s+EmZf$3)&nO+KzCMARwqtQ_zKGlm7)
zFBsJhzh?lT5`W*njx>|~(T7iqSK3~kvl?{qX;SsHeXz++5Rxb2rW~T6OtO$$vEt1$
zSJ<oirlCN=q58?+Oz&zmRdsuMcA&$Y1)^It=2pA~E+N7n@d8osJVMzfrc`0gr)1&a
zs=tv!_9nW`t}SL_UJ5S{y{$^58~(&GZrZ2fT&Kz)Y1iWOANTMvlE+!4M^4WT`qb%T
z?u$Ez=eAXO1e`r^1w8-`lj)3E*lyC!?x1f)l<$n0=cL(KyM>I{8Nu8EtDm;#q=ywN
zOQwB2SqNcyPJK{k`bfta!|~>4#4$xz6Pf$qR6-)NmZi@&&R#w3oEw6Y5XUG7U)Er7
z$>o(!Caq?mg{yLR0K&?mR>$@$OVi*|Na8)=F4C@IJ4u$jj;3d7JzZ9wdkTe_blc5W
zMDjm*k{RrPp4@-a{j*~VBd~*XFA)WbH5#dIiY{Th!$+IGn5r$d=W8Q##W4xNnBba_
zE6F1sR+-N(B(HG%EWUZB%yX^U+2ysBN(kn|rkFo({e){a>}jheM;5g$K%bB(KoW~_
zpw$nuu71Ev9l}oJZjG3-042q)dy11;M+;A%Sc*cy+~z(qSWq?mo1nG{N=J6FShuoU
zX}wCIcf%=Uz`g0|t`VD7>C60CS05JJBN=9Fz^vm<!!5XTtw^Zp&)S2Fh4GBy6NVos
znB5a91mkv<l=!)?pVOsVe@0hyZ&PkOHf+%R=Y_5}6(5o$1g{$8b?$eHA#gfp+n=A7
zTDDVzDR$q)cjw-asBTl)jIXGa-3QVn;jay=ZP*osF7bCsVqZ6nmqMniG#L5AlArO5
zNF+HnNG?5ioZ)8In#ClFkh)rDv;vCB%lPgcQz;YF<g3SuXnnEBRWpuSjeD-MtoD5g
z`y4aoB1|;O3O4teukfN--|l5>GuDfo%L&ka!haVLT0Zz9h=|RN|4st2xeK0D-97)k
zdw?K*jhH^rX|vixN<>Tzr?zQLTIT5w+IDq}>$xBayU?81`^=YpJPg+CWM7)e=+QUn
zFa%+?mAwB92(a6H$ql{+WS!9M$8{;U)#NaL@#-WY(XgcC)lsp?x=SpNdsv|sT(4P~
zC0Cq3yF0!Uyh!fQ;B(&WaLS!Hh7h|09=qr*RafN7?};pvb&`dfwRjFwy46iZt5a%#
zYsm;{HbvVbQmu$EIMOd(t?b84eo7kb^z*u_n15s2eX*vc&@Bmlvu)#>|CuxX;H%7R
z+qM!4B%Z80=9z@p)f6Lg3aq|%E&#E9=FL&fIhi^e>)bOI)%WTmT|$z^%@sM}_ZS8W
zl7>$x-oly6^6k#C>nVNV)6zi(pC*Z9vfs*mZUTRd8*ReFmA-u$ghE~LeDuu20wD>S
z9=|IDW26nU<B?ljQU;6Fw`!dYH18jb)6YCAENOHjO(rCgYF<Sc&G4fTRD=j`X51?C
z%yqG;JHcKl69)#3ajB*AajKQ*=(%TqebNLy(^DCz5>p<yS5>CsmdX)V3SOGVsnX=@
z^`9e^P;G2q?%4JUu_Jj-g8)jp>I`GPD%v<$J?qR86N<N=cylFwD_2x9<r=c9bmjn6
zcOYAOt{$z_$WuGlq(+7Cf00NrMHc9Wm?Fk8QW9>Rz4#gBDC>TKHi8D_x%fEOC|k)P
zv9zsR*X0AP=R@kgBKvc$aQXW|6Hf*k8oZK^myM*Z5Dg%v0w|{he|ZqPri=@8Zb<v1
zRa^JI`O9uL{t>5{rvClXC~8xzv6hI}I9r~J5JCQSWomEfsyEUMK_ozgiDyMw?#1RX
zicM`Qc>0f>nEv__q|ny6F}fi)H?b0O_HL~v)5J4N_+{nfrRpHP^&s(a{Z%8-Pl{R%
zRto7n=q5t=*Fv{;xzT$4_{~a=AimUg{@>2MM$fUjVzZFPYlQ?7;YKg$YBa~9hHr4y
z=Iq=@{KwmP6T;dHH>n<;m-nS9bP!MJ6F1VKT$k@5IbX@NuApuM)Oqh(VpG;}=YuLI
zQnN)Sg@WIurjPnPQzByU5UbXDUuT^kzZ*M2s7zN}18sp)80Zm<gs<hJc|Yy0&7W*L
zg?!APBj4&Ar>st9Xwvyqd0k>275c`**w-T1YOhEznRZi2VRNcFBK#bRIon0<AP5&h
zc)Iob>~=#hg(nSL9UlHwe0MU;WiDMp%!jq*BXalLbmy|`S~K%&uOsel%Qlz~-eTZZ
z5M)h0`->t-FO66>Y_VY}!Lu~nKF9C&y^n@1zDOef_0ay;F;8iWCogmO!h&(?gjnj1
zDB?#yy<a=#<xmu3XzLfNT~fIi?dB?)2DF2)+r)UVg2a*dQaFDuh1F<G)aJOG>U#4Q
z=;G=(mi<S3E_~1)Z`Atx<7|7mPd=+}*`*RDLduc;zB@pAuj#pObqFnETQ&!jG9VhS
z$>@^-h62DCwETZuD#IxAb$^=|AHX~Wc7g%8$RAG>6cs(DU(teGae8eZE06@18B`Mh
zvcYTzNG}bbi{0ba(bVKJs@i`+$n-Wicwl7*IOxA)6<g3DaM6&+FM3=&OjaOqp7LSr
z3gl|?cT0=e-AqF`djgrjpyC*)zoxjrWH0aX-D06Eh;xc0o}Slb!{f7cUi+Y(6DC}6
z6$1J``G*&T4!`*OuC>0@gx+<%_SEUH;oZuRQ=Ya>ho0kJNo9e`(e7cl`n*^%@FRfy
zqL#X)m)=3kvmFVlj*b*bNnzpN2eF`km)z;sK+<z@aRC&&2&6v|3!ss}zLo>O2%2pP
zVE<u4<1?U9ox!1Wf}n7_FDHi;tAivQ&IdBdks2Q_Ks05`ydkRr1D_)970m>a&RJ+D
z&7kKuHO<v8TLa-f%$dx1$ny|;s<FO7P(*}Vzw+)`tR$)TmMN-?@{q5oa!vF$kaLM_
zF}<5$Gm!nsR88HM5E0kSa^il9J4KjpP+5K)u*aJyxxPQ6<K@=W*c6(8{B&|cadS8h
zG=Mn+qR)PjhCDzkf#9^-VOj=M7Y+^>z^VXd?gM0bu|7RLy%JDQz^FhtL3`<v1L06l
zhJ1>MGuxdzj?nQ4yjYx{2T34ya0I&CBhbhI)EFDU3mXdhU45=-0E&4G%DXKEqCb9A
z29O4h0)cQ1T+Q3Nsyy1FJ=SseuWm+9Ip6|7^nIW-DIUhIRs)q9fSo2V76HK2rEMdR
ztz-pqD0^5|AMB8>FMerjNXQYEFrKo@0?y{z-CtsZg%u<t+5L+IQNuc{$M%2wpd7Om
zcfyf%55q$x7XP2^7*Ec%^K}AFh%^5*!i$IVizzhiz8OD{yNpBKWL)Oto=&5k7e9E;
zOrB^Eat@|IvkoZ234k4->hYNim)}n*w;te-QGn+KO&Z+jH_sjG7#v@qXrKN1kd|UU
z`aL+~2S`u;PS&PS7Qt}MXWwKPvuLC>2GuxBS>?i{2*`cfH(>8`a&rMsJ^2UaGP1CW
zih2Ty0{wY=d%FR&@7SS){CSX)Q^|Z*OHu6;V`05{({g*M2PDjgFuwxu^Rk)$;#qPt
zi~2&HF|Zy<sEI4!p)lQm6~%)dXl`L4d;Hc}*4%@gkLVlo<pG83A17aozQ-qtoJcxb
z68|`fBZYry;Kzl}Nk?TbtEy0o9cEboY8j&yvGX}O5+VmDsQ0e7L`34W{f#~5snO$|
zTe*O%Zg0EDG-IDRgi(oTxY`RPE&W1ByrsGMYT$i&`C=w~F#6q<p-{@rVT+VIyn0+P
z81tP{hD|M5xlathdQr!j`!dbHg6SJem5J`eDF=pq{CG*50;pd*83pJJo4l;LQ*jI>
zuClXR0H6W!qHkpf2B$XN({XXras6Q63jiD4yg>{G17m1lbYN95jnJMbvNhqgu7yU`
z#qgE7oHD$b_Zk-ZOtkL!rB-O(Q9{d(I;+VU6?*+kfx@?&+VB5id;<9B4kf$#_<?yd
zv$3Y%tGj}n(Ph@7s)esQV1lmDX}%SL*TGhoB=a2;{1lD5c4L-&aThOM1jz^ErAwN%
zz9#_h_#Q520T5QTWC#3J<iCl5Mc#n|;}ptGz$6}X(O~8MBB(V3N5?xXnSf^G27snn
zj;I1o54bgqH3WWFCaQoH06+&jHv|qL!gLHCbx~%Ymj(lu-&>!o1uKG>3nAy*uq{&U
zW7HYp{(loqz!Awa`?$cuKzwD3v;s*sj2*y~R+&!j;|o+&8E(wuk7{17-t?KoaTU87
z0_MQ+y`PBLeRTfTwrdm48L(&|Yzw3e_(6H$!t};_qg~xQAuPip7u8ya2*sUVi`Dn_
z`8>aZROCapu20#V($z3Y6Y1n3=8X|4FHaVaA6qH5Y&^T-9m3VzCgyzTva-86zjl$D
zp8lv;iMJZW3<WT10r+GbL)(jx6lM`8R-e|}fUq5GErKk4BmrTZAx9?jw(V&rh@S~r
z8cYgJEi8m!u!s^6d_^K+GO|y^V?AKvijpnu?U^`6>TQ8x@W&9WoB?EmH3Z_v#l&O=
zHVeC`Wb}7g+1OyxFJ_UkBlb=PEcqG0axeyTA3J6-=aHU!ELmqiQ8jE*C}7oV3Nu75
z?yq|+y<sDH4a&n3641{_@0#NVQ1n^`y0H$lx<v$<hLEnSOd_K@4qTGE9(X-!G)E2m
zr6!Ihwt9}-eX+L0R>{vCD&FYX_-r@YEwM`JxKHdoW{MDL?yKxG^nT2RDy1H3T~P2|
zrA$29q0Jd+-I_A?Jyk3Or6iVBf=~eS3m~u-as8vY7JvmqVf2zxW@*afumzO<T`(;P
z_ql6=R^c24d<iDvR>qIk{kY<kKO3Umdb)z%pY8<$V5A=y22&2HS9cTFzI?e^ZDe2g
zI5vO)d~Lb^YafL0N%z@cEZqm{_zd3Hfq_U!TfEiV7kzHl$vZi1!U$%4ef=^sBkh1j
zcuLocGQB*I=`ga)ot>_qF|g}^%OQ_3^>YQp)Ht&0kD}bDMNh>BiiuR#b5{o$KSAm1
ztr5Zdz3I<~IeE`}5m|@{ftlkEQW4(yQq2~r+7yUXQFD10>7#T!_u1&9j`pPSsx-^e
z!6&!d;{}5#`CwCE>}V~(>Y!Q+coDsl)PgaO#Uu(O2Ek$qu^|1Z8*(V!DRw`>kOHxK
zL1FKG2R(LnzYbOQz}OCR8HFzihI^Lg=HxW}e6C<0RaHpzI1@GXK&B#9M$cnI!)i$E
zATGevX28tZo#k=VzK4IU=MKk-5iqccJD*?};SJ>@b#*D`Gkl^8iUVddI}z{e&s!>d
z7HagS<R%SRjEu8-Zm^xd%+$7i?3K<<GzSgHR5-e1Il`!5`!xp22zwZ8GBTQgilfUh
zw$bDO(ENAz4wBOSGM#5-_ol(8YiC2moSdCuoI?-(0qo5QnH8YqNH&#pLI|aOYNY4z
z9BY#eWMv6h8Z3{!wkgk|iCJI(rSsd<dO%2PplX2N0XYMPKOhxHM@Os1-kt`Wb>2ga
zTmNuI((}ZdNIdD*g^L$wkW*<8J=*U;jb-Yy1G}81T1a?!Q3h1pfKHp4eIiXdA*_^>
zfytKFt77uIsKN}q`dOUzrzO&kC(|C(r;oh$(hX;3+ose+YW|GfS<{+Nnhca4><J8$
z_{`G&3OjwkuAMWGU@!DMPO?ctxR=?wY0(8_7SU^x?nrlND;FLABKy#+iO?FT<mcyq
zA6*6P7RfC5{#5l!?F!rWB?4dKFCn@ugXYBqKToW6{Jl}<HO@}ODN{O8S6CeFJA;!#
z?wOvI6*}-ZZt#wj*Ssv-)0jW{v|P)&jSAO1J3K$9SG^<@c0~XrERB8$5h1!!Z&StF
zrx!gas@Vej6;-1P*m+(B2DZa!L30=jlov1u$`19@{N^|CA?iz)mUa#S7Z$6LfbkcY
z<OFCqGb;<LfS5V#hD8VRVj0R@AcXZ*RYQht*FaLs--Yb^@-Ty%Q=9S)5e+@P645OV
z4w$zH!TUta0%Rji&?^x+%Qoz!4oDD)S+D~h8KDvnjQf{e0OkeR9Rnop-1fM*&Hqyi
zpj({mK11B}Yy92&_ZRmhnp?Z@yn&U&PH05z485c@xqbO%Kmb&*aXC?}yfFI$#oXf1
z_3PJjva>CV&!^Jr)tnZy%U2kwIUO8!Jy22-Ax~|(twQ{>=QFF^?z+;^0@<Rf=NOe;
zn5#>?)v%<|;mUII78-^(8ZB~&%L2PZT@I2=B%jV8le&KJ@K;4VW}MnT($&*@KvWRL
zMt$^yR6sk2dOeSoZgub5HMZHAdYA3%1+()9Ynat+lT(ibZ#4UE$Mg|;G|i_1Jx5-U
zfA}NR0n9kB`Gi{r(-(<YJTb<zKVQt{@}X=2_jtVHl$x5+Q18*t#i{R%qOIf176949
zI5xz>etrAu`TS00!WJkgfiXafNxAs52R8irg^ll}>SLhFCT4*ta|jL@1-Hd24J({J
z0nZ;oXk6~_!uRJ0VTeT=)I^|ZBO)eV9taX&h*|K6Y;l3wb8%q3^k)|yGT3PCy8{s!
z8BD~)yK|`o<Uf0CCTqNiml!&&wzkAWt#~LhDBQT=?Dl;xgf(vfIehPPz?BEllV*HN
zWhSL)#MC`^39kJW#TUOUOGY`ek?oxaPYrJ<nWRRiw4UjZ+P|{6@_?9}cv<Y`PO)IJ
z#XG1lzDv*kI`8sMHmk21XnbHNy5TvpR1y}v>#$Y$+PD(YSFN0A=ld|50o)^$>A-ec
zaao-$r=CD_cDq0ThF;m&K9`s8gE%J_aR$?`lro^{=&~pkS&UY4M?OvC#|VPuAd|lS
zBz<F^wjsgA)qbD^E5)Oeg`J)R{%0wXOt+`$d~QwNi4*6ZE)&Jnv-VV+WQvQ89v9pf
z@z>_L-MMNto&{^%9UgM<Zm}-qQ}f%mZA_C55p-Cficy>xI}kg3H@$Si=UO-4^|8_9
zYkvOS%cL1R+IjYKPp=KfoV{lW{7|{n=s>*BjviNCF@y;U9zV60-uNfRzY@-FY%pJ%
z>fC8MeJGVvtdd{q8aq1YL9E?`KYeD9vY2q@6??M&E2&5z<JWaJl(Cb%3$e@#zZQjN
z+q)|}o>|{6ysgD_jWV3t@9*t}4e7HSCUkyCq#z-2Ho9%VP<cC6Gw;^db^jMxHD?kl
z$LkDD_hp-uV-G)?7@8~t5p@q%9W+6;KuvcVgZt+VSO*6OcXV{Po~EG3?d)OD8x+xl
zxw`!J6UeWX+b!%V(3i**3}I#7?LnT^zIFaM(ATv^bJL4^3h*0@m=xw3R76nnxh$zW
za`#pGxVr8DM|`w<(xg1fDCX9!W_e<qag3~!my^3F1NxCfcIbdLyN%_xFGoXl2Yl&9
zKpEsF;3h-q1H3|aRbG(XdTmj{#Bb@JYx9%;^`Bp>e0FXXZie^o<MTTi!Hm|K;Z)&G
zM#F&dHknFv-<dC=!A`@G;40hv3bEtH#|BeAD3ojSJ8i-bc7kQ9Cn=d=5=#y{+VbsC
zlEC-n`qpXfgo9BN`e5y*roKaErNNMEd6<wr32&L93Tn@Vn%K_Ze#!xA;K=4{qg@#g
zGvB`5-qq_iH~P9mQ9s#d@F^Z~_J&0}uVNcT_|DH3w!p4<c&S#2>|6l)X`W0^7O@^F
z=CHdvW+Jxw$u7NaZHlvpREJ)vQM@49%_RLNqw_Yf>oA1}QvcFUW4&T?G8WT@w-<Pr
zJ3zk=T?WWvE#QB_9QuU~vJq%a-Q3)u?1m{#`b(F#VO);OxW@a(OM<{Kp$YeZ;jE;1
znAEUH@o|G<DJ#X-bNc72a{*~3B`(l<!Mg@vCX%-b^Rhe|UXlTHc`^2F1&P8NKoh6c
zFRZ#9L0<wI8(kR%nD%G1IR)iV4|=^uANWa#+YgscvSqv^@4oEM(}%ZZ7#bQrZk}kK
zhN!e1Y1*h0i!pO5py*=%6|{!eWr5FhaQc3mE4>drdy65<`MwKppIG(Md;Fj#l_}Vs
z@OB(;bwG8t(%g)tkb}{-Yd~UrE~wMLFlA!hA6tz{YC027`z5I(O+rHARjxLPis7~&
z%Y3Kjlc5LWnZVXAQWJt$4pKi63l_FOtpSeUB07#mTc+yHIIMvib@WSfp3T$d+<E|v
zD}x%$kox}lnzaT}K4_j`L<5NI+Jl7zH?+?}dt5=)=J^%un<Z40lt_q)v1B&rHOApR
z2_X7|pahCT`;n4&g0d-oZQ#b(>%hirZEk|1gNl(cDIx;<!T^(ox4?4(MpVS~d<=w3
zAZG#se12=<y}KIg;v)4vT$4UnF0y4CbW|Wb9N$m^sppNrhNdPlUTKO5=MRIOc*{uu
zxZNlr2SVJ2=L@>wzHv-YZv|=fqvvrvtG-U07r7$tyL=si`O^YZ)}g7nF&AawH)m<r
zaWO<vE8Ctvwf#SQ2tO^Dni+O=<bBs3dLM*7GCn&`wi9*50=n<fA~O;jraOi;`JnmR
z8%L#}spx?!2K65{Asba=fsa5+(ARG*s0==B=Pa{7n>F46O+c)utF@fmuYnw$4s-tJ
z&;Rs)g}-t0sDPRQro*`&f183}4C9@kFT<V?fSgvn8db|Sko$Fk9R0g#O9Tw}Kw@HH
zXJ?1kAi(8Mj`mVSU9;OZhF%f@+OxQbBOxqY4x}|91=Coug&GXP#6H~C&T)ll<-jl~
z;l7SYPo~f8{+*b0zd5z3i$HlYKNjZ*R;Y+iQbx)-##p&Ms!4WDZ~9aH++N9Xw5_<4
z!@AmjE5$Bm_}=b01WJ9H5c;jY<uzr+ioRRc9Ohu@Yc(!IhNzyT-wb)W#jnZJ7TqvY
z(oK?VY;1gDZJzyL0`QK4w~Ige;SCODR()(O`XNC<30QsZaIrWOI2_hXi;RGN=WDw4
za)PSm;DFLorWw#cNHSod(AFqgKz3cAkl4Q}Bs63xAe#S}h|e)USV?d&NiE7~`-5lG
z!1AXX&!_bm*5xyUYJyl?DV)5uvU_k4sYp{>UXf0Dhl4aXLL7vYkFU`S_CRRxB(~c5
z;YABD$-W0@4ZPImJP8TRh=W8PCd-+q>TUe2xJ{z^qI9pQdH~kyK+52N8sZ>N&Z^LH
zksb}-(~U8APkv}%kiysnOQg26Y?Q9^0pRHA6<mdM)65_Lb3!%eo604AE{2{9C2d3J
za@vNNo8}J@b)g4-1j&@Wpp*mY$R1!W0+&f)03CE!fR7!)fUfXoKTAFAbOb1FFzzBU
zHE0vGrmXu+&FI8rh_|eJut|E&+fDQ{&&8WRkA8$~x2m670hO`Omn%j@dG)v!S544v
z%pKgzdQXO!LE5mP)xjv@_9y3zy~Z)Iz316RFkP@$0|RvgzqUxKH9}^SEY{J;*S<gR
zkEIVDY4ZM58YRp`AyOkWhS9Broi9CjNIKu<BBu5LM`0F5Mi1)}3Nsg&{)|CRfVf^t
zQaI#7{KT6-zdVL+UGb=$NO-$#H#+)gOgC4@fMz;w6aBsozd1bEtabG529`d1!KTiE
zsdI>#jvH$e&q<V&I2ap`cJdW@HYxHk`%xgO>dV`lpjdawTgK~r*5qHkx*cUblLHnj
zf-oSkSO{exa9GIM=8EIkeI&TzZc}r+97gwqqf3L{zh5$Hg*o6qJ4AD@^2T8hmvU;_
z&(bohMOXc`#n11W=<b&I36L*siR6N$Ei*F^Dq@G{t1IHX{8ddX^SK=2U9ETf*j8K|
z+ZNt&UV>3VR>K<9!3`8@m8Y7Y*U7?ArN8B&>yW@&-cRi08xjPZLywDFU(HA&Cklzy
zV_u;iMBSNQ`}G^`Wj&Snewnj`QRJ@sv-cR8p?v3>QdnG~3mQS@*=xD9J{3f~sDvrP
za%P$*S{{-MNKTNB9TVdsj{~}2tuav0i0@8>I*T<XO;q##q|#X)5t(s91zb<@q8hJ2
z`7F}-W@c23vq;E`lKU)vc_?OK2v}z4s#j#$LtnzLH~DE&O*3)S&fg488(E*cnViw5
zHAd8d`qlLeDT#2Xzvfo=N=#48FRJF6i>oMg%&Q?$wnzYN{twpP102i#{~x|kQ7SY@
zwn8a1jO>z@L_;Dg5rxR!s}fRFLb9SLAuD@RBr9aQj3j$y@8@;8zxVGyp5O62&+$K=
z>p1S?zVD2#^SnOi=ktEQ);m?kE_~ksnE~gs<Olg#)}fE;QXXY*;*0<>QAU?W*orx6
zRl16(Y^|+F$xUp^6N{9RVltOnLb!7$vwV9x>}^i^c2B(UT8@;Qn5s@<w4Ss(bcJ*+
ze`&OxdQ4+7<^m}zk|uE{e_%eINBVVk1>6mkf2*tb?`@*#4J~K0%<Pe~60FZ@H}0Bb
zmEt%$#xqK#q8=CVH>`W~L-GTgiGz>!^x;j6yOYMu^uLd5Z&N90+SC_fk-ukUPlI%+
zN+X4@06w)PyW#z|e4oxHDW2VKe<{meag5#jY&!e<?~)t`b9MNIeLzftdhR4xPP8dO
zao-(F$frC6U-ezl?0DIu>LfoWWf{pF&Ue+|m1C++*wJzh;SVBq;WggXT&$1~7I>ap
z9Q<3fvnP{JWbTG1#qq;5<16Q^4h2eGvXnjY<MyL#E8;Yh2i;Dq_no2IUe|hWM|YM+
z;9DAHG0&bq%l_+cy%2ajPLksCptM6|QoI6*G|E{>&FDehyx4WaWz0Tz|DV{0*>CIj
zcWQQNt?Q%SqR<#Uuzh=Y=fxE^z23WJRpauXH*ivajfu&jU46wuH#%p#^ZLh}$>l9e
zq~nAXq2zh@)%}l*Khq@cRm~%lzd4yb9{2xSW2fomayehS`0L<KyOgd^i~_>jXkUL2
zI@d8{F(I|1`-J_6JgR+9lz-2R8M2ZnXengqlmC?Lkv*@J@O~Q<$+CMLE61&_NG#}_
zyP2ye8_YJwS}$}!)MsD8d6@`J-+>K^d}Qm&9s$lzgq3&QR(L3SA7thE-T4N^QJQ1X
zsjn?#a^CyQbK;Uy(_b1c*DgvGa2FLD)!Qb8@3E^K|Mly$rNbF6wsp_-L&ZP#<986+
zW2aLb_4L0cnYFu5t&@LeD|9WjhvOX&tCF&YrDkS_{m*PYiy4a-SutFL)JG~e%-)hJ
zkhD{Pw^$nw=d*C3C#Lt9dV;?%L4gpvv*~N3heIS+d(STGt%8OHSSkm@v)qpDXuDG(
zctyA@NUbc>iLD%Z4ibr#tMI{-xu0=&8l&M*@Vj$%uCQ&?cQb3p=I}oChlXD*Z0)t(
zr>eDF-t)doQ-6NX=&aWBpssyib1KWFI$dj1Cr%yz=}CI{BF%N&<@sdJu))nz&K<Zb
zc0aaqs3&&xT-m78|4!0(drz39%uyz-ZU<sJKfM^g@NoW>z0l4Y%`PdKh=3@21IN+C
zl))w9Ezy6wkF>Wr@loL+O_%q8V(;1K`k5T8F~4#-+P1dWR$+?wE=rt1-@v|9!;m0p
zEAgkH(@|x!5i|bQjAu$2*$V8#z3d1NFg*<-3R;qF5-gpbpM;-Hkh*S>Cdk_Es?pd9
zKf8|NFbk#WsB5|Y^btjqzQ2c3KU3A_2^IL<-a<7{M0Z03?pxAUn(;UEw%v_cOVw3p
zHq>nw@5z4iHwUGIoD}u-S`qusy$*fiGUs0PEh<yjNoI@*p7PP&#?b&N%EsD_^V5~5
zh@86Pn-S?EV*cLNmTF)*#H(nsqjKXlnP$3J$7iwGv=Ey|Ee;>vcz$PqxN3<1JLkwI
z=tKf#Hz&u_r8%x671HvLlkz=UMl_$Dn|JVapKAAR3OO-gw52%WS>q%6!)7nf+-HB2
zd7#))is2j!&RuU8RyT7Le+>NNZ+6Q(=%Y%d5vm61qqjeN`i%IGKFa%p-M(qI=DoJH
zbNU7x1CN9<=-eOmsZ2uX7H-)@;S?zJ^LN-{*XYUle0RFR`uBctM-5m}ZP<Lzp0qrO
zYL1*X4(D{89!P-h(O38H-v^{DwK$v#8td_sCqQnvxHLs>AbbRjgLVH8E?(Z!8;8)s
z<&GEAikY_Gvt0rqAmubSjz5EI#$kF8b+zDu0~L#b(7Zx+xl~9+2Ml9ydI9-ja4Xoi
zqyQ;e7bjw<ub&IV92ErNP=K6&*Jj%e`#$(vpxzvC?qP>>t82T7qsHU7ywoJQ#dl89
z5ie2{J*@mf>h7+jmg#sdON)oja!)eKeS4No&7+z1bpLywW_l%h8UOBNZZ?wJ@0Z^B
ztR7Z8sbUuS?WSQFI?La+Em}+yxSyZfn|1zT*j9<K-MzISL*eqtML{g5ta$$X+Xyg|
zrYlSH2rjEGBb2p}_x@_R0mcD@W=*L0Nt#%MzsboFa&p+Nr(hL#0dGv?SeZH@&WzEA
z2h9qY4Riw+&Yy2XO$iVZ73BWxUchna1eQ@uPIaLH)5)<B0GI`rCGG;0&Q~E5uaUI4
zgDx+}b}S|WjR+LBe?X~$R0CfM=;OEDZtjgLT_@O<nm+06>~_{)FL}p4>rN=Y0CuRp
zV=wGux-1H8`*bPgsJDKT*4O$wHQM}!RkDWg5X38dYM%9tUx_+D?QP%K+0>RI+UDZa
znQnR9+96}mxU*&F=;jM#Zn++S=U@lu85s?PcP9dVHLPI|@`TUUdaQ#`wS(Wi4i&v^
z$lEi1GKfM0AK^|#4JH=}d`{?;P^W@Noq|mcV#SFrRIV}r78!kRp^ccIpC>YYDk{KH
zylgRHm$JL3s~g$>Kar$>1whFnpAY<_Bkqes-U{@uXkT|OXeT4`(i#?Yl)Zxd{6|8n
zAe$tNQ-G1s(pJEE04~X)MMi9$-9`5w0e!)n$ASjJxOAHTob+uNesz5T&rZdZ%)8MO
z*^^RngVje%j^6$LI{E7FJ!F#W<s)@nqa}-_ho7;NC{GkA&m`o<CAy4of9RAj>y*x1
zSlSTsVwqXWE~)6oF^k{daFy%B{);Icpjkq*lp|#VmJ|(*X3~wKXIv-IyjRqAp=FpE
z>r|#u&$8gTA`83e5`qhXXM+am-^u*Hkfcve@A;P`-M@c7*bg5@fo)`ht5^%GbA?H?
z{{VVY-1%@R`y*WXebr%3oqNOxak(KpULe)tF1_8rwHN7$SkZvn6_k{CA39BZWztTs
z*+RiCT%uE-qh}f<T5{lui|y>=i*iSEEBGkCG-xfV%#)MVe_PT&+~YX8dU27LMEYFy
zQh7#JTg$v+gd*MO#bNSmN5w1&Cku-sY`<2%A4qH-aZ1#<e*JZLxDpLP%HrAG$c2>)
zgUWaeA2T!a!)N{d{pgJ)^4Xc0TM$Yh_YH_eY3}W0wRDpfIhtT8`xK@3dfE_hhaEHL
z=F*3Q^VfCWhwy;QAq{U+oF^I%F|KzXKYs7YL!ap;$nnhI|0sN8*l3nz5zoYQD|pp!
zRhsX{y<^c7l-x1rQlfbR=I&_iOl#M&o(%GgmP!e}EA_KA{^z%L`FfeKnYZcXF;Slk
zCHqfqU;eYvYD?;it?6E`-f(U$Cp|b?DDBzFaZOUP${Wl`-<RBQ=>H!%ep<{<)P3dN
zq{-(YhwMyYruX{-zGKC2t3^{Rk<hvQ71bDfYD;@#W8=@Czei}1bjkg<$YbeOgvz(~
z&Hk=SS#MV!gyr0MuUx<qm{E|PE_$gk`ySUqkj~?|LvJO8{?bYr7Uu*sw3Hn7TWD8z
z-@pG%i=rL(^@zd?33KxTX4f3VR<3bzUoc4ieOq-ZxLaOdLioe2{&N*tFW#yP?(WK#
zv#qg+TRDFF5pCc#_o5s9AIDC)`$^Nn?w^=IV;lFmOjaOQurD>@oPYV3zQ-a3eOEQE
zTygC4C=6*|EH@uB?4;d7vw7I>GIyO(TH}d|?ZbDgE?d&i-we3ar2b8Wxqphg=iPRT
z*u)o&P=BEJBtj|CxC4_4t=SL%0gefvt@x7wg=pZ}A|fK#LY-IU`__x~z@#bvJ1Iy;
zL?pngI$XNKJX9`{GYX7^u$b8PTF7qhZt{bH$qTf~(BL4RiuQzHuMK#Du3ukBbX^|u
zb6t9Ctt*-twtABSJI87X#|pxO>tLI0ZdR)>Tjx3DARS`8ic@AhUI&W8jB|UpdD2RG
z`7Arlb;-G#)Q8h8Ti?NjyTqQ2zMLpSOIBKL{c{$#F~h}K;pKPx#?(BWhx>voU#+Td
zjre7h8}Q(7m__rl>9S&rl<|iArq%Tn$(<}q(=s<iLt5er#mpSK=pBV#C`8{}t{tYz
zpT9HFQuB`IM%UG@GaDXsx7kpe$unDIbdt$V>>kTA^vM(yMfyjQ>9*fG60A0M>T>K$
zulxOBPX}&C`Z(Hc@oQ3fJ){(T<@8)XMd{bCc~f=gv0Z9sTMfX_DIngsUi8lr><Kr{
ze^&;ug;X)<P^R`4rcV4$OG}%vg;zAd>zHqj)j%E0f?gk@qV9V^C!j`|(TIo5263nN
z*V|<n@kW8Pd4eYt+bJT45$A$UC>L}bqQ_toMWXC{jk^xy82C6=S7r+czpcFfQGrgm
zx3w^otWGDoCL|<OegFPi+EKJ-!Q+IRt)D#iMmoCLdt^Bo7ze$+Q8Q6`N=Qhkl{tc^
z%rG6bUO(Aq;+0bqVJr4%7fti!jutiBA<94{J7qQ3-E|{B69wWH9Az$t3D5}r@|w*Q
zD*KyQb?Db;9o2VY!HPhq<@frRk8A%HVl5Lvcnsu8iLO&QVhQA)2uAIoN!;<%Z*`g3
z6DbSk?8R-fo_sr~5Nb1KKUMr`xM=Rdy9T3{O}fZX`ZP<|<F{=7^`;YjtfbzNiIukl
zgB!1Wr|HbI7E(*PfioM50I&`KGd|H0d8weW<iBjFNo6^p8V|LToVt1ow(*B)?$ah>
zVq#28Onz*Oow8a$AMyM*-+lV0FKFi?%N{|&>XkB1etw0>i}zR!_YbR9$qPd_gVhY+
zOF%1oD&U&7E_JWPJos%LhXJ0MND>D;U7)soyymhJhX`aie-_7_Ns?P{2SHjxQqns~
z@tE)a@GUC(O-nhi!!ji<jG6A-eo-y{r@*L_b)^e6iN>kfna!mA<D{x?&HjMz2rUfo
z+O%ntMA(C>?9MU3xdgw<HqeyV2?{{IIw++_4{YGUCE5Akh$vo>3QmrU1VHCG?O*R|
z@P7Mq?L@vPz}}u$lPgV#i>UOIT~X7~F%u2JN`jS`gPHlxp<Ou4^$dMRB!wMkOwK#l
zHWMe|`<R%NBU`p?L75}&ICF57SR>TqbWQuoLCoQ+>35wB3LN!B9F42%92JYsi=L5R
zVqcIpTg;;%$vkM7BXQoy5_zxnYtsD+{DJ@q6B83%0at46=s9KzreD8dxjIRxrQNRR
zE{>QpFmW3j8zYDlQLL_gVYWc;Mmq~!p`(gFZZ%b7EWAHJ!6H9gQ$vG=Avt=0j16UF
z7BQ>XN_qhA(y<=H4sscxk*%%S2#`%sl{BmlMM$TAUkS7Dw+0S>b#-+Zk3sP?4o#!N
z04BaL7?*e&)Kp;mBs)3)nw!NoI+M({iw*1P-eo9{J#lL{W{w|yP&pjr4#bFyCajP1
zaes$t<sHA#k-SI8c!MfvH*Jbh4E_suAfZD5IBKgl3=xx2+V#kbDDTubB97ep4!aVb
zCiv<kL3HZg?XQ1dLo5a?4_ENFSgYV-kV%2~-(fb}_GFi32kt>wtq(B6GAzIQX{m{5
zTl}LRt*zf<5F0ky=maGith?K4WmhKrI#*Zvcuw<dD~G?Ut*s50JdcZ78Blgj`P9z5
zVyTS}xB!r+fB9!DS|Z;@f~Wev>Q=-aGt|CIrfXvz_~@9v@u-qm@A2QJ3<rMKi<?LY
ze>>vS7Jk7hL#97^S51L&Sf9}hW#+UuiQ(&x+`Y?pvo7rD+a5wz7!%zYmBC6$Uo+BD
zo4TcI_af(;Af`X1Coi6@eDUzqCC|Wbia*r@mDzecpI1W`kiELH2pz~QOj43Vh6WFQ
zi~IWc`Pr%-zvspmm6@3d<6qms9YBmFxE0Qx?Qe)<lDyeciyR;c0fDOQd$(@!<mjf-
zvDUmM(w%VLW@)aBm!wm8_S%Oj&7z8KPIMW|g00Z3C8ZZtqj0cdhsH08ll?^}9Bge4
z2|umBFk!phL|k!9YHVjI*?q$D@u;nsiT~n!sCnaZ_1ujk_pNW*9?07>2;5*DgZeJ=
zGT;77eFJ%Y7thJXa5Odto!yHBZf+vHU7gocBL_(aktaR9K0sl&(WaUEE<{N9Fn@_Y
z+0q(u%si_1EIen5ikovnFLZ<9*nY{#h(Ds?&#<w9v3pLbL6?uO!0hcqUIp$RB2$H)
z5=<wY>zX}l>140|os^;Hwke+Ud-+MSn<{i4ZH2~m#<7t*M|`wwi)p_#gf;G8@Rngb
zII_+x$*N*<xRjdIUpyKnlylj{bSWb^)V9R)RBe*jQo8jwF#A~G#J&R+TjfdzWS}fh
zOL4DTTU*D+?}a#48Cc>7!Z8iKlFG%4oT~mZb6pRx&QKH~GpOPO{tb^IYIk^m&Cn(U
zUYcSpL-y3RTC6yahRTJJEgMSEa)P5a({cgIKfEDW_RsXcT7aQdrl1xRl=a+E$l+;<
zlRU^-==oVGr{#I~sXlwpLlIkNrZ<LaP!05TT+IB`c>d%s>Avhm^5qzD*R*Md)zaEG
z=Zj;8kFJ<fk{+%T+HzsGXPsST-k8G<a(_nKt%yInM0Of@4oFJ{vUlwB8yc$-7`>Ko
zeHwKGdc2mEPl$$Ms6}R}X+($jS?=eA$PU7xwp{y3_{(`YJs6pokYRhL_~Awr=9goU
zSrdmS))oBA`!-tIK<CzAq=7=o7!(iyE$!-4v5t%U0oM~|f(^rCKYZ}=_0`V27n$^$
z!)d$-5%DO1q@c3J|531rVuOXyaUR?WL#-FXo_OjJWLwW*o#u|Dx8*Mk9+2^yfJqSQ
zE+V}OO3jv6>wSA53&?;_GyOf8Rw%b?bhb(W?kc6K$4;dS=W7j%C%aRX=9G@+>U>P0
zk6X;Ua^Ev;Qugp!$J7U(TS%m+lLzU{KkAo%QSQ~rGhP~{@-H&de<6R`_KE*i`%}9c
zDk28LypWR$sb;QY#)wV=Vkl6U?2UrG+^`RYoFl|{AXFqRe$%v>YbB_nolkOXiJCb5
zHW?iL@LA}dZ}Hi1qmrq^Jwz4w{^GtJo7QXm(B=<-vlzC<FMqBhwif>S*I++EEdma|
zeEBjGaIGXj`+h-8gh@>QWTHBM0MsXX=&Pour_mqa+py>Lfz@o@k8U)1{`OncoY~pg
zsEGW{hFo`TeuT~^IhY3Y1YRhDZwqgGt|_Pkhv>`w9bqm$B#!Ju6=Wew`?I<GirQFk
zp*A`!w<5adtqL?0{ti4WduQdCa)#1seEl4IU?vsm#t#17FN7+bv{fCyw_AKQ5xuC-
z%|qwU?>LupYxNRh^AJ|vqF8EB(S#_w+eoRcRsxVfI5m;g0VU-(%G`4OY<r-|hbx}P
z#PAOFK;;R)-T`D$#m3eSO~<E0-&k3x=owT|UVctl8F3ZX=gyU5mvfxzpJ>+eBcz3*
z6-`+hlQ=T4>K3sKSkZ}sar*cXG2=!^xpti^;Xt;n3V%SVXH6NtkKme--G<J&p{Yqs
zL?l+_BU&*8Oe_J>_*>fL#Ih~5Wq8EciU*lCuwsJTnwaru9;9ttWPa>x=tft?HO0op
zwi==Px+KS`bE8=a*>1Q|&7r8JZGk_E+D<j=LiV4C4(1S&vhSmm#Uq8(E@tWF`bH)u
zpEr)XcMc0a>dE}`=MRFqf-Bz+yj1hhKJ@f-$->ox<O^NWT4prPO>a=A)oH>&YLRs;
z%oRH#634U(T=G&isY%s0b~=z|*L6ireM(U7%B|%wt!i7WNmTBV@@t%N?~GBh&G1c~
z?=yA0AC=LWzbL)$H4#hv<Ek!=bAPLb)4I3)Vc4tLX>x^6lc@t}|J<X@z2KK^{cz^Q
zx6hiz7FsgP^F<BL<fY^Le1YwgNHqF*deS9E^kyrJY#56v({qOECi_N4ZNm>*wvx%-
zT7~Lcjp_656%Ow9D`q*Q$X2Lx=qx))j{4CL>{5Lho`2TOeR^#8m+skd)9#V!K6R^E
z{X@AvM)MqW!bNpTB$^Y~0?b8Mm&n{CQs)Uesbf1|4}|sYuwAt&_Nk6h4!C6}<1YKA
zPR4NuJMTS;B9V2D?@o?$t>My?*z~jWzMf&-F#SVuEV5E2vpO#_X(?4`Z1|Y>>p|!A
z<(y1S*G=?uVQuc6a<~?^9}n5>IOQ}~=`vJbjU5Ra5B&TmN~3|SIGXr%Txyt^@fNR>
z*E=1nV(Oq9!FDy4Y!sWq&tOIbr{Gi}6%CV>#`l&X;k%nUJgU_T@-za5^F<#o_qaah
z<I-&Qrf?CkoiNkjlqE*NxCw5Q9w)8d8n`sp-w(ev7kBjKmIMv40@3e*UDbDGx?AcJ
zj4U@+1ex;OGi2@{&rp9o?l6-;JEO=lJOU#bslOFznsPy@pZ{>*a5R&YFkJV}R`+dA
zLQh6&{i)FQ4v|N1Y@eQ?AW;-|JN$+90{aMm06#Z(@$3c4H5U%4=*)3G(bb;`<p+5!
z^uA@2Ow%HsM$kR%9X&M`wzY7|n9S~9{<FFHto$YqZh)7rPl*&yw+P*>QpYc*=x}t9
zdw;DjyL3tQeGkVst%J5gn<Lm-55HJL)G6s5x+w04T*&MVw$`HliMCuTk)^NkxPzyA
zr$k^X<;>1OD+x%Re}?sW%x(WMT_szW`kE@qmW@<M?JywX^jMr#0N{0)9Gw*D*pGoq
z%kbs#>c{FFOnH9f^)lqKnKSKS?Y>)`@P<g^8`jymJ?javYZ+Lv%x~Y<VJ$P;a*9}(
zBq?_c?(nrwu@CWFp8S=v?#>E%tg%cQi4YP@#MiU;R=QKu2*`MO<PTpTd+9S(ZP;f+
zaix=Nw#SM=KzZLXnHc}k|LX@89Z6|p|3kVDQyu#mCew4si%v!*Wov)O4M0Pj4<BCV
zoSNv_Ib;zzBfR#<$|uAhYA2}T+|NedH2Qs$J9p6bDJv*Aj2BTO<@^2RSd&dejwjlj
ztwZIIT_DORuT$IYc#*5#(N3#(%ICxteooI`pVU7uZgPhB$VrSvOkJqoBaldx+ESUn
znU)ribP&Qjaa5p6T0sg<OmuWh1W!;!fI?e~_skiR8=ogjLDtU2mN_RnD*mB(8?}?q
zX7nUO;>LnXNprgz8EDu9(|yVqQF{xn({U5qwHYULQ^CqKq>PZ7V^36izlazHAl4sh
zZ-b=ILh0yHEP5RiN2WZOw8zgspt$eLn`)=9X(V6tdqOIfVRG}C_T%TrXu65_+?9o#
zVCW*|%4Ao7j?z^;hgEZUco^1}g1_Gn;AA31j~Lg|U&ctePUQSlnB&RrL;jM(j<e&B
zi;M5RiMDE*lTu_l(9N|<<#tjqJ0&4fgN5|Qm?odp2^0zOE-f4!!nZFXWC7z6?%qup
z(^&sw`t}i@zK(H)+dDEA!;*b7i|^-I%WeJSM}*6hIOTDrV=qgBM{q7X!GnZw;o_1K
zOd5EEaLb!tXtHu?Wt>RL&Fij3STAkLeAdt0R<~g++O~-<wVrLD7TKyUUsB`X56%5J
zw6_^Y$Dcn2-tra*k!bF8#6b(FA*l^&&Q+k5z%N$;__af8pMRJ4_=m~Uvyvs;rq67`
zsqdsxkcP!sKKc3KO-VJKqRiD!Bt+fb{bB|47c4ANrnNH2Hjt54LsJp7mMR*p8V8I&
z3*r+5?hvy*AocYvahZei$Q&)pOc{n+I6CGa-@lG3`OvP-^1mO@x}W6r_a*~QOllwf
zyLpdN8^=$5#tLPrFNybQls}oea=ooRtE9btYsg@H60PX9pGIlbMvOj^oyv!6b{3|z
zc-G$j;`qEEX*L2k8xWCe29LbD%ldVrac-Rv7TljBW;>rKCH9`U($?B~teR;t<i2!;
zt@itR?`dr-<awt!I8%^ZwYUmV6GMLW7Ci-$@6mCJ&KejRYPbd?E)&4yjY2mx;c3~~
z3#eEyiYLiA?81c$&{+j9n+GV|65fr*>y$|WtxOL6F+Jhk>Q6SWKf+gLzrrdr<Gkou
z@Yr0d)Ot2Y_sgB0?nTMG?BVB@f=2hqZq)~Dhn!BdJIIT&y7=Tib-p*y<8wdF*LSO{
z7zO2=SW0NqVj#^(pDow5roV4uH#~5kzU#)}J*WNUBPd1s<AY-x?7r(CAx6Crvt>+7
zhILjKt_3K3?TbgHEq3&%KY`2*^=_bCN6p0i!Zp{b%JD(p`c&83r6sd%tCKTp`%pV1
z8ppilxu2g!994f3DTlx-s*ThDY9C0wUCV8F>!;B)(4=sH4q!iGRrtN-e>t!n&eL8+
z|7v*a*4HmzfSV#p7R1R4RN~=Hit+>(fRYDLFCE=jLtGP>5%{Y1DO8zG*eriqZ%XHc
zDF@dR(q;bQ2k6+Pnipu!kD+@)Y8MciBxb3x>kbYJ5T*<c4TX_mHc?&d`A3<8s$xlK
z?`9VD-}myI$0>Y!ny=8avya|W{~~x=@=KB3c4I-8KVo}BR#g@!-LhpHR-C@%H%A!p
zv~q=I$j^Ms`jApPY@?x};pph7SSjQ%EqV8&#=$0w6YU3%G}6_R7ZPfw`Ejz;)yc_Q
zWQFz_zU7p7P=wZdHyfKkz=mb&(Gwq|qdly*Ep%NgIL?}wJb^XV>7l80{^AvMQh31w
zhXml74Q`oM5^O_<{2o7kQT~NFmXVF^g8a>fKSECps>FMm#3~23{xS`+D!AsL{PA;;
z&UN4b5l(<sfl-WxtEs4bF~#(yTR;Z4Mm)zpToWSZXXpVW23D>8LPC5|ut>nk01YPQ
zE*S$$LHAYj?Hj%3(F3x8vVD70_^)DnN7W7fhL9%03x;ys?s95Qu2zAuJ4;uCQQC!U
z03nS!02nelU2;Buei=Qho!9PIlqCD;puf~z_@K7#I#k%=Ei>okap7>W#Qe%l=K9`{
z_mbmxJe>?u*JV#LP6U3bPWOs%>|t8pd}77tvwD8_@TtLuv4Z8Ezs$<)L1r$z0*RCy
zuAeqHHVf?!R%9G@{j))+;z?(r^Um>*U4n9p_BF?C9RyBXxRpq`Br&t6BJMaggz1Ax
zv!A=P$ZyNrbG;Y)4xjW6c46Qd4cuzSZ!*JHC#)lSn%AHCX(^0US^alxKY*n~$BNiJ
zUVjvt%k|2#1o!8h{Ncj~?B?(=$R0g<B|$Z3>nDJuLPA2oN!y{Jqiw(r56D?iP%!+E
zZZT#)aImur#{VHgkzXBt(1Q^mx!4x=fcT4!<`EJai&$Oi1A+^YRzef6ZJYtc+Ra>4
z1vuLOOZ#o@97xx28Rys0vp;{T*bWs~4Qyl3-RVH@Gw_3Rz^r1Kyot;1v~h)~L1Qhs
zbYY$ESL+33Q>I3C!^qaz^J$Lx(Ycu(IH3y*j1-%+@9MPNusOuLBw0^K+x9ntE@JlC
zld`0f&lN!tfkY$Ha1gg<=DMh{!iV8g?p~#S9C-ivU_P<QOKcv8moF54$DC!Xt;`Qe
zIO+ie%d4oV-5%IR+ySWb92^{wk4HFSaconFY`+8&%F%HV;3#y%B{B;L0`9<J%cO&0
zESDx4HO!Fcq@Y$sX_w>Dbl>7EyGEL?vV(17kv7(?s_JQZ6J9Bj*H_(KTd@t22gjnP
zMzdQ10&kk@drA!ObL+fQ)mo5VFnTEODBI5ogT>XWulSuC-(gT#BUP?``8LCrvT)Tn
ztal-XD!g^P2YD+f`9kI^M)?H<c%o2^hR{)}@HZf(+UquO)?%YS$422s;Es}Aov&%6
z5(7*g?l8EYyEV)5eV2hGA|*=$={|sHs;U}khzpX7d?kAKb>=k&-Z@IC^JBO{-Sx9B
zz25`S<O4he@SAW3y8|(i4Cmr2#Td*G@jU;7Dzn1s_OssAu3xJBjrxo^{VsIc%@5c}
zatcCuk7{IV6CJNIm-R*TH?60y-D*0v#qz<>5mxgtYo{AWvpeEIC+}ckaRm7c5%sv#
zEs%Q>VS)%!gyRi88rodeGI34HCk5b<w_Q?Dc)YB2Fa@K#RGVF%A=>P=sVQ$10G76P
z5sTkvxj({s5*N4qVyZEASq=>1fW`I6X+0AY6Sv_I`plF4Vb~yKE&pt07?@rF-q*%t
zH`nbcaB_F0!6eX7aN3>pm__nRQxIbXhTq0Q91Ae<x^fALo_CjJ&NX$qcZO>3g(E^)
zk3HyPOD{s6MU630nYiA0J9CpNQNa46qO6Ny?mfTZYaOQBwj*yHE;#}1Tsv5mfIqA5
zlZYt&R$3!F@nyS-)&q<HN>od}iNb@h7<L&X?c9edabzqTekBHTRw7={koIZT#Y>k?
z$b*cZan3-gkopp5hed`#6K<U_R0svIOWC%YQ!|JNTm5Z$YK9Ui12x0FOtxDZ8X>(l
zH*elFH66tP1RN_QBm~DXkZpJz!vX?CAb~)ZJ4ZT`oZOG9hqjW+n?~Gqz`>c1yT=O{
zGBho`soF=X@LV7Ma7pQHT3-Zb((Y$O4*&h1wxzUezd4<cO+^pn)=)|@2>iF)f{Ey1
z7O5K3c(vqT&<=oUIQfVsw6G?y$P5F#1O?e8X9`?L`mM4twJNDCP`B3fj)}=$pq<AS
zrPYC|0X!))FE+9f5Emz&>cGlfoN@2h>$nl0EX4QrjJ{8vI86bHaGtu9D7sND*m>6R
z$1S@~`di!WJgMedPUucgR@Mbh`Oa;@Tob)&3a8SqKW!b2{8>Dt->dKwL2Eci8F%b}
zKdoX~`)B;(GGWm~+FSE;;FmCN5NcCIkiP9A$-*_nb@CDB$4P@qfJ;cPgv_#gcevBv
zbB$EW@(AHQUS)Fhh@s;-O!d3R$`^0YWKa{%<|dtABu33ny6>BFbcBt)Pkgx}Vfwd|
z=#kC^Irl?|11{8(GEC~BT2FE<$72Xg-`RN?G{#WWt6QIPq8Gz-byBh>?zbg@Y6R)f
z)Y#~|>oB*B%u2Q77z*e10@qc*Wa{pC`Y9Ut0~EL|j?KMZIl3Z&kiXk;VY`L*(f5^e
zqs8qrnQ`>0dCZjS9(tpZJT`i|SE-_T$MGc;)-)F~&O3|?g>p_$-!snA)P^}u-Yj=w
zgNAZ-BtDrB4MrYv&;9-NoSmSvH?g!%m&iK=7-}9+HO2<Q+BymvcwvFSdq-PRJri~+
z%R@fA<KkUSO;(0G!n+r5&0ybXDYlD$l8H}MKC#{sz(dytif+y0ztUvCCNzxYg(XXO
z?yRxiGWUe2^GW1A6*PSLv^NaDk4_rtvA%|r6A`AJb#;FUeEdKvMrm>XIwmM1qkWTy
zm-o?hUMl5%NCyOT@|WPRZWyov3JC}nxcW`wXMB720=qnaJj|AC&BS1BWu<cMT3h>7
z_4!F(=YfHNaA8TWb)BqsZlvz)5NUnG;x@h|a?|OJGC_2PsmKSr!F06kc{EnN+s60f
z$$x7XH&aUr*uVcgmiW$g{>?ejz1zx>z6vBc4=oL5B{nl*>e_#S-zLlU#=QQq$lt|5
z3`Hx74eozI@T7W({PBFg4hcE0pa6<DeoVq;=@>(FOw8l_b<Tz8qTT47Hk8{oxK9b*
zOfSjFm5Az?oDzJZ5wVr#m@geM>y`4N@6F4~=k5<3(S2vfJA7{AIj8!)EI`|K!#1m-
z0Xcld@EAGQKDG8Xl<RRIH8U)+;b1L6vJC{-yZIf2+i&9I6(cWJM#$=@ZQ0~;-(wYk
zc8$Xh=`wRrh4R9%tzLS)dk27v!n>Ac`<i7#_OLe&nCCpS-1X{ftAy`rp4t%J4Ck}h
zy=3hzIy;2SB?_cNi*+`;&M3vcA~%h~9v>jj-GaA){X3X2-F0_w{X=<n?+YkJw$%dT
zxWMc0b{=daG2$>L=24gnJYPhTCA3DoQDA2_HdAzPW7-3fUg59Dd0}$NAwd-zn#QF|
z3~X#f&_R(1eppmM;4bjU`^Mvk!CKv8S^YHqhUIJx`|efIMKNpJZ0peFLc74n^Cs)d
z49z7?_M<<iH@f_;d`vz!Ke%lrxci~E%X16r^3m|OuL5{4OkZnz1rsKS6Hst%f9w#j
zhjYVwAB65LStyS%OJW|lECNZ3XDqJ8H9!F}tew6!xAyjMZBO6y65z^%j=2bGKOcmP
z#2hv$54p&T`<mZ5#HzeTFfk7H5aX<?me}5a@)EvuRHS%F&|JNKy&Lm$7#Naa1x1Qt
zkq7|ItJkh&q^C<PhBsTrxzvKEvT|-bP$=%x9$y(6rSp>MKtxSm<h{I2VL>u9N#)H^
zW__dC?BT{;8b<e;x%_H~EFH=VPxd;vG}j;9A>Q{yry-<))f|t1`++>ZQ?G}|VwU6I
zyy-&KfLXeY)GdQn4>oMEsBObcQ&9+junFC5&wRe#4&f99F?qdbuUzq;o&b%4p$SCH
z>d&A3(+;W{+S=L%1~JQN?H_}^p!lh)uZJ*9>+)qx>Fb4?o5&F-5>uD|T8}mk3z{{J
zz5e1N;Bt>kQc@DZ04U5l@-GrT74m)tsixZ6qHxN8Ft(wbb(JQwdVIO5%_iGlt@?M2
zWw6ed#anJYpZ%5B^{>ej4`}^{rcoo=+Bv)@k3A_NDTi4XPjcjs>bhloD$=!=-GI0L
zKVf4!RW#;nd^_glmFpiNT4Zck=&R)eKLrTB3DPckujV$~Zz>uB^K$IvSd83SA_vkV
zMH1(z_dZe4MwgbOx_GQ(l)|#XO?qZ+C21bVW9xYT_Ssw?r7`d~Jfb<HEE$3=cXU$}
zdS=XDlD`@rb4z_qZdI(V+Z^aVl3_V(#Fv|6+?AtNzcp-}#QBMI?hmmEGA2{?zm}-V
z9@>6v#?Sc<dD(Q5=YXD8X1$Ssj>MCR8RM=AeQ^)N*&H8(W0L*92*oGK%@vEn?XH8Z
z`7^$;gczCGM{+Nx1i71h%4y?@{9B1{c@tMm??CDg)zE9wq8@hJy?r$4u;8OFlO|aj
zbU(;x#H?Zxr#`W^PMG%IWs)8N6_^ok(6`Zi@_lMmcP_Pa7x69hG{mstFF)_hN_vNR
zO2=0v)SpuRYnouqH%e@lB+h=!N3uGx)Z{s26_vwxv^xPD9hK<)o0}wvA78f~=-&?>
z)ngf51-YSWvCXps*S{QioYS~Aw8zT+6`;GYF7fRh<geXSk2Tt|d_<x-hU$pl?4|)+
z?}v!B#N&>HQQO+Z!E;Ym^y9VGkT$OMKxefY+gUbc1iqbpm^5ljmy@CudVte0r(xId
z&<5?Dc^Ay4uZl%&_56B0{Nh3kvVchRoCGBM+>PBjIsN72mYRBz?9R1I__1~gVK%ur
zUcXF+^E9+(!z*2wq7Q_4+~u(Ke!CrZ07Nrl)bpG36Z(}>t5tm_O11i%@(tX6wJiT<
z4pRO@65S7L8l^GHs2mZxz9{1(KDIh6Jeh|B&vPmfVE6H+M_2nP<ibh{E03PaS^0Ln
zS@<uOO_wsad~oKdD$gtawUIzF4@h+MbyCBQOg>%eQ&D|}>o8dXhqu};Il3RGX!_G^
z!aD3n<uYX4E!F&T&e<t^zcl1NHMBi*KsNhok!#{mbix4f1EeKd0H2@7$1M6*y-5e|
zXr-DhB-d&XX9<aGJ?7rA_Owu$>5_Mv4V2C3UtLOY-r+CUA4VSH&eIc-B)+Tv1$`IU
z;7Bm?3^NjMiiUWvNnsRux98}JhCJw1w@Xo4IPoI3{-(C`G5q~}L-N|{C)FO{E42DW
zbNn<ScG^xGJMX&cx-!iFNff&0CB1&{U}~YuS2d#zq!s*bJ<$+gQo_5RnnA)v>kc;-
z@meum?|L{a@ZO~7$H`51ou27C3@;kkESBhGIcIOd{FK_;`hKBD+4DOWGJzs}QZ}(4
zUu_AcywALOLoU<2rkIS!c<$V`{I->7fUgo^1sV*4P#%2w_%SOhcsy&D8z;^9=<~CC
zQD~!|>&SlwX$Y|Wff3+vz?Y=g;|ty0-7BVBbyAHKPsM(cC^T$%<<&knF!EW>^NWM~
zZ<RrDrKroXR`Mxls!y#Lzv~s0as7gKFbdTs&Rs&^gB0Oqa_GhS`P;j<jiqf6Y)8DP
z_0C^8BSOP@`?$H~B5AztUXjCJ4LnzV2Q%}2|8n`*RN!~=djoFD9wcRO73N$J3|i!@
zP0PsGeu@56nc!*e=Sd_X|ML4o>aQG220mNrN|t7Q_`zIZt5}%T_}fCf%shKl-1LgT
zYTD5Kp)6YAK(49Fu{%1?aTweG>SOtL_w$}Ub2PJ}Zpi1FdqEOuETka6FcNSZV;2H(
zep{HQoCI=%J%Q$a(3a!Z^f-QklD13f%+Z;7Y{(QKv*gk1<tEaXtVldgBrBeNck2H8
z!+SC=C})-^jz(?H898U0t)c0p@22?ALL=6om$>3j(Sasi=8&+q`Iiha^?Cinv}&K4
zW#YfYBqb@?tsTxJk`@)E)bS(>#wQ80dbVug>g7rmnGO7?@3oXGY=@3gzB4EOP8xOW
z81yf{D3J4+cbds=EU3RTUoFvg_@9C5a*X&L<K4m8&Z4)-#n!xrk>rw{(===0Vw7&`
zX1|p_v}NerX<O1Oi<GEW9+5FEgyVAWHh_P@P%D&B4tF52<5-+7+Tr+0NCHCxF2yyV
z3m`<3fCyqP$KsoZs%WMhh@q<Jt#%@tMTNh<z8+ob96%R)?V}7~7}E-KAlP&%sazb1
zzINmn#72Kk{)7r@iF~_>sC^<i(ZEvCh_XuBn1CDxe4?mWiGi%+t;UHsn-~&*ZGQBF
z%IboQ(%7$0Dt=z3?&5^=z`fL|;)kkTtaHs(%bbaVGtt|=dd+=XKT!AbEJsEkJh1a1
z15#5`+NFW~c#)e?7h-TXtEqZ66dGWwC*qSLBXvPJ<0zL$OCIv<*+q5rdB7TX$=TBw
zRgKE#zOg|seC(y>p$gGZ)++<(g`^0qHN?7NnB1UjWOM%1sjtxGVT#S-5pM3N=;&Uw
zCur&&0gwCm_)u?U?T<cx6w8Ce;5BDY5i!Mnd86z*_Ji04-HtX4q#cztTkH$ad1uRg
zBsfb??0QUC_jl8U6zPN3IsJ0BG5>;DQWyaWvnetgVoPq~aRpR>sNr9DE5Jp1vWelk
zK|w(nqr)z4A^)~k6S)DOKA8ejFiLZPo?&F9VAs1Y)hY}C3O}s3q0AfrDu@zdHinjt
z4uKLPJsQ)*9zEJnB$DIPa|~)41YaSjryx1`QeqQ?ai|A~iLM|E2sukt$qqJ3DO`h`
z6^<dAeFkBX)<r?392#MaKP)mBU2er&Tt99_AOQRU|A14^H2w>isyW?d)}C3bn~YkR
z2)jY$i%euhs+nKXwYQ%Kyy5*JDd|TY4<e^BVW?eeB=~Jk{qLC6c4p>t@-RUop8Bk^
zGFohxp@fWeO~ap1Ork^~urCf-89_ncH2u;i%n-5ejRKm7q!s!01FaY;=te4*O?jk}
zxh0mG7KdU|tEjf9_UPWw5bM+A?_<vO?A%aR8<czvI;eh=xrw|VprP%UHaB6)hTGb!
zA1OdaX|4W&0G760va*`OqDk<JQ~9`YJ1>1LmIwqf=Iv<K<>fI>HiBoHcdwnATJsfU
z=~MCtrF<}^>Zt(7MWjRlq`;iAe}u=}kDopzz^Uc^Xlb$`3-gBJQ?9+V8Sl40<x5!5
zsGz<QU5gXd#4;$qaUo03Sm$e7B3?Y2++8Aep~KYgD<0OHdV2rpci|632;G(U^*np`
zK4Fs-MZpP?ZcirYD2KWy1jO{bgnbP7B)0@4ePtVit?c132T8=eTgEA~N^8#<-@Q?T
zgM(0AQNZI)SSAo9*7~{pws2`_>1##arrs7$TCB&Yj4!*_b{zjo`xsjx52rv;a#d)D
zAcuVR_(>f4G?yPG?yi!cswr+CcvMa6y;o3hG&)Ed56t<Xzlz^Xgcr9fOK}BN;QT>u
zU-|q#hj3hk_lNZK#+6TqrP{_&W)A*v+r^_p^;>Ca^)Lqo-h&8hW^=^q?8C@=eBQvq
zA|tzjfrj`LW2Ih=YuM)f&^e|{TFry~&4CcGbvNzB13R>Wx?Q>Gj5)bOdK;}J!n707
z=;ZW?*ltmKj`F6^Ptn>zY?DsCeIm~cBV5oJGJxL=C=tm!O&+d*&wws--+a*5@)U|&
z3{s9ndj_baxV7+qfq9bug?T_h8vh67iT#<rDE=P_Y2Q<U_80#Cvm<S2d5ZG&_xxsq
zG<&!$+~2>xz}2-@<K`Arb|+%%*_sl}BoCOBkA#m^nO0@b?vgI2><R&lLGSg%$?#Q<
zR<oW$^k0m#=81y02S;a?VC8=!4Gp(0rei+x&|?+c0*1Eu58r^dSV?K?kUJlDn9{et
z-41!-gs_;kqk=L$>9rOd(dj&SIX4dNLaBcp<N5*v(;+9W4bi2-QKlxYNFF^sfwIl|
z2~+zvUB3G{&qh!}E}eS)!#;4)tXn>M_WG}jrl!PT>Y<?_c#5@{z8<tB3y{Y)FTSXH
z%GCY{0O%CR)%0{5WF$bd3~P`fd?o<8uzyx;LTV802h~`WZI{lR@hovff#l^Sa6#x3
z@=&a=m);hxes#D9rfjIv0fd-nIV6GzqcJ_0tg#|~aL+H^k*$fQ&R=A7xh=ETcM772
zF5Fv_`?Pp2hHw4{yY}5D4-S0qMXG@O6y%yo)4y3I?sd6cPf*>r12UP$G7N`706<G!
zU9swWCdAgsfcv$^M0ey7ky~4@W6uQK4$vnl?U(llY*CaSZ^f#;t!)-c?Ifg`%Z_`*
zZL?X~&W~ZRx|g4yEGF1EIAr(VO+o@9NtVya)>3BGch+rFG)2QM7N=ImZ-i8$zj!bC
zcXxsEpDUMbJQXGi@8WUJJLk_!2G=SeAb{Yp?9?MB&!o!CaksW1Vd-%E7`Y^R7#RhD
zLOLt(#Xzi(py~(@4t^?3-13nZ;@wzH3mapR$mHV%@is8gyQ7#tt1srXJv@PV^CJWU
z-R;Z|i=M?)yiQFfRQ5iT+Os)%04*Ujk;yK7OVk<?46dVmBMcqqxPtduT-tDsCv3+g
zrMG+vv}xQ(a0t8Anw5s<kwe1D%L{=6;Ws=5>Qr%<Ba6+nr1{M<Cf03|l!glm*p-)p
zf`ZBDzqk)C508E0=~*bcLPJ9l3zjmq5(g8PVbEzeYLa=TQh@t2ae=!u4@;YAD^;<;
z+&n%zW)6lGy*O4D7t6p<&O`n?7HGH-xfn)_(?MbZ)(JxT3|z+mKVaOarluxJ>AWyP
zR6k0_R7LDw=f3bdL)!p&c9X|V>}kbD(5)R@A_ki@zU>$HJ#g^g-Y6tKKCV*<Kjs?(
z(Js&<=ZKDtXcit86<e=(d`5@T#gy{oRe!?Coh3bN?G3X0gUi$<yyLqK#-yPOeQ|a#
zcGvU*AD&4_Dx{>^i;m%b9f6aIyA_~Nx&F3$1Nhj0qyR%msz-9%0#a;<Fc$gGAp4Mt
zL-WDEyru>LFd&#hP)BLJ)Q)R_)=E`H1y2UNTNm$D0Vsj}j77@sP|aV~vI}7n(@;0g
zoOj?GMl;D6ZbDOI`8S;-<8a0u-8Un#zQ<9D(jR;$9q=)OnkBLQm%`7O>tR{sy(6(I
zn+F6rb`1qRpA`L95QvFcJ^xRFzzPTgH4JQ1t-ElS{n%xNYN3j})zTB@1(}C1ss+?o
z`*&>ekSpSCI3HaHPKD=uV6$dL!fQ}98Y(Ktd3u7&XWY3n`rW&q08*^75#oX9ny+PL
zw4bv6)%!KH%zi0_#*R>=6W$e!OUMu!$7G%q@6Fox(P@6Q-&UdZbHAyF3&TZbnS0j>
z?T^#9y6p10g}I!azR1BM5c3TWiWWFE!b~Be6Lbivud6%l%W9AE2;^7_$?Qn*aMR}u
z);mT<DKaufKR<x#12_phDo?w{r~<Fb%FhLX8lc3Kl$1b5LlFx65>~i&n6!wwe!W3D
z={ot<<k#ez%q59ULoI3~mL*wQ`qMWH7-ch`g@uJdIbc}LYNqo6jPb+Kmo(u+{rxwT
z-7m)uHztG>g!IHJQ7xf~KmWS-O7kBtjl8lY|BwHIJAFD?N2{-UH4ookliuy+#!XfA
zrReNA_9-h%Tu@Mn*MB}ofJ@<R?Jn4oQmn{sei#pp_4iTbqZf@>de;VqJ87*mGd4tV
z5m51UU<t?NYfQ~TMalL@f^?6<vWp^HCY<fh!QO1aVf#+U<4<?eeJI79L=gQWt|<~%
z5ky^$%chnO<FkKhdCnBp6#gSaBavhXC}DksnyIuvsG*_b4PQCKNa@jv<gl1ox7Ys+
z_wAxY0sk;COKit*M6cKK-(eZEmk}OaCvk?6+-?9aAZb12dA28b4IH?J50$=-^>q93
ziaeRy%5S9g*WQNX32|x{oYa`YYi@T914vS9WQ<*x{`OX20B$!dWbYe{^z`(oA<w*1
zN05j@89O-NSeO57<>7$E8L#!$bh(;>ektfuM$U)h>gW3+gaiZ{hNf|ZV0%T$pan}G
zq8Ob!P2AqlA3OXi?V+Kg)E%2Hsej&s=lvAwaApaseu!~@+(`xlfFrByw(tu4G!Y`k
zs+e7`^qwgEk@=cz)bJ5Tgt9MR=H8?sU1Hzgk5k=3q2%7i!3j0PH5?_|jdRq!?+%QO
ztYy;>-$1eni3DF1WJh=t=$jB4gf`|&=azM_MhA{3wDlxubewuXHIlq`K{P+UQUP~e
zf(YuAe8D1l3>{f-rlz1P0$#m7eE$5?>?zea2gj4Mvzm)Z+hn!ZfF{l#>n7+IU_i=;
zyB8V)bogk`pr&OzeDk5^iq9F9D_0Px;?<AwFzMpXU4`!Q?^NShSXj(*Mnoe-SPIAP
zXGp%@5|T0S*s!EW()nWJ$x-rdmo>zOp7VYt^$Ju)FjT<b^B-Liq83-igk0y(pFH`%
zIv9s1_lt^NLS#@ifCKciAQfrr{DBe4oKMT<x&oU!ln)aZ$Em;m7Twa_4052qza@$X
z)UO!E6WcI|mI5`yEHPLtZ>AM9;q(SPn~c)r-(8N4FRMAK5Pf+~4A9u9x_I6R8Ff&+
zCd+;TNFhO1mR;UEqi0cR$V6#4<&dYHIBR?0%U;Ldp*ip8R{DOBPydZzxFO|K5N$CN
z-S(7LnzgJu?^^*-nSv0~+|yx0KpI<DZ&2w#NU<%Be<t1F(5^2Z={c>|-Eu=1QToae
z+(^K=2+~T-Uob*m7Pc*RmpNUVYiG_-GqgO3%b<Y{ZfJUBWTeCN(D5#siEsQ}ljuC~
z6p$ERQglTABh{Hi2Z@p*ZQUG<Iu<Jv>^`$5cN|#oNx@GvQw9nEtpw1g1hNuLl-w^A
z9@zPwym&OEYIy&%vwQ6ro$gu%*9h`B{$_O+{bCqID{=bm^Kt(112fvcALvMQJpt|;
zQYHV;u*eU9mI{9w$Ayjg-A}Jk#BHkC??!?g1SA&}A=A%^$SF_@f=bXU%OdjC**UM*
zOCg#&3U?R7o+sIB8yibkL~q?PfzV~REu&_|&c-JFax8ck%f3jOT0%I3_N*hH{@70f
z)xM7n9+c61j(FtPGCdFHaf_|^v|^K!pL_kbut(N*LCE%~W4^|wroO(uryZu4pe0_p
zUg+pi@M>*4BgXc~%g+&8U0g%T#7FcU)sND$eU@E{Bw5zpIo`JQ4!$U*_uQ#6+%wEv
z{x4q0$!~Z7GKxz^rX%~FmKIx1chY+{(vn<!S}&{Mk+CF;cw(YCiB!aWkID%?<(&7L
z*;d|O@l2s;_n)r$<FWq2sw(G^hy7@0DZ2$Jl2lQ>wpS(5=HGeR$Tr-F*-99e<+Tr!
z;Vdrl`fp*Ac<F@*?JGmupPud^`q|sfNxB_(1xe$)H%rrFzgt&*n<4&E`W^R$3Uwf_
zl9esM1DledWNbVHT2UJr#s1|lpFO*wUgR5$NF`0d0=tQuy1HB%X-bJrt0QKvV7Bn?
z5aJfa!A?bLo-liS8Ux#iI+uyy{SSv!5fi^yh#A$eCQUm?4{1T?foqGc`uG>qCJBQP
z9v@45z&ONaP&wf)<>g_r;4o62zkFAOAlHFAd!Kphku0|EHL+~=BPb;CqcCs*<oN)A
z0WUK%$eIR0L16MCl9X9LU0ew1T;dfMCuXuOVcZw0|F>`7uJ*aE7=lh!%imh4qxNBD
zX3*SJ;G$>4FmW3=3qf-G{SR(Cqk6C{V+;e-`=fa&+`Q~;UQG^bota$&W38C~;g`dB
zRNCGfuh?t&s~>bYcBXah+K)fNVY2q3Uw7Y(Mw+xvWN}N!!J{>KO%%T6Bg9vJtbYS~
z+KF24CxLjA)?r2-NjCM}0;DO|S80WopALMZ5~XgDEeayOOz+tuf1&qJE7c$4h*z!)
zOw7|V`78eiNSWrS5q$<klgKd!CIt%grNS)~5)cWvE)4M181oWt_`cu2_ww*~czVua
zS~B9OAo|=9ZIA(YK@f@x==>4T2gjpAbc#-a3*lIUYEwS<@lgQcB$;2_r*d*USRQ@B
z%5>{|)mn8eJ=nEfj%|0v;nahgFNC!%`i}1CAeU8v%~zIzX9}~QZIuu5^WPMMPdnx2
z*G<8S208{fjo{?yQP(|rvIHL|EDQweBg(}UnUeB1A)})elf))^%E05UYpVRN93uL(
z=U9M317riQU%v*AhXM`;88hH&;Xj8z!7mT(!ZWh3m)C7GvqUt~A3wGNiNp4-<+Pi7
z6SU~WT_%m!yVR@9@L7KCjIWnuc%DplvQ8YB+F`U(9aN<ot8x7HL5$9dkKas3hgFgb
zwi#Q~U=pNpDyRgoPBKvm!!MEf$r7d{0D4%Yn01E03BuzS7sn!L6MsDcvMxDDPP<+U
z>Eufhk?}nc#3I#yV$5|lCqLf>!y)0lLvM^@@xC$R4RobMJ}pSu*xK7u4$dH#0a#(2
zZ<WF1udhC63I!H+CJ^+K(2WusTm_9oj7@#eWbA;(`}M7^N1UIZ$&QmTu0^vQpwJ6O
z6-uJtjov`3IHPb2QyJ#alvt^mAaIPRJutuY<$g$eFKeo(X=}U8jq7srA3XTk${VO2
zWClP{V?Ta;taa&ll{~yzKRP;yTvuE)q<L%T6Hr+Yk2oDV9fkyoL}-(c<WFP=;sJ+H
zQho;`V_-mlH4bzXN8GKchJO9mKL7i;{1Bh?(~uau(f7KtGjaT!rI#0=iI#g4DA^H0
z9Bzp65y52JYKdsHs@JFF5r3c(*AV{s9fX2jQE%T8elKUu=*t&g9dh@=9C^Wb1K%E*
zh5kL<3zHG62cMrkSO!@A|6PpbbLFK%FMKWD{m6d)C0e=x7^59qO^3BrF&4`4t|Kg!
zvZmcv$KN0Q`S(Fah+gvTT0;GZXJ@QA`9a_RVpOlHu2#Bmp?A$)8ZP`FlX@9}fBna#
z?)Dm8)Q|RdMR}sB$TG$QCa;1V#B101-WW7hV_1USco!4{&=$gn?qB{pDoHzW6{<cj
zz`5-7c|47TJ|Ks_0vpL2+CyS47c^-*iwFGyE~LR!7o_dr?G-4f_5CPUYV9y)8$Z+(
z3{r>&jLg^fw%`6{Px=3@eWDOSgeIZK+O^18cpcis_zExM+Ne{|)4@1{WMeE$*TuF@
zR>u0<!hA}hbL26XYtTGF*aV+0ff%7drKG8o!CG9m&*f;FEBjZMxYCdd$!Rx=C`D^>
zk={~YEW0#*QeB;yA-QNWkOlkrjWQ42imo;5^Xjh}@h~OZu0jeMjkmSOj-?(YY}z}R
znD_!(W15h_?IFjNY0&f!Y-Nk-=}AIJ0<;-&M8R7m+MNR{8~UnwC|8h?K7>VKI5NS$
z&W<$BP2tY^5BKmq_JQ(#Z%L1@QEPgntK9ti_VrtB6&-RR2Bw2tV7GaP-3@W3^!AM#
z|06=8uO&tw{{3A;MGpl$7<M%}DF$#_6e5UD<wjb8rJb3){KKv_)Jin2y~P?Be;9@Z
ze-{=OCI(#KpD3}CwbgW~JxEVr^$R~S47-b(VPbTL()e}E8TtQ3j5OGPZz=ffe@w|=
zMQ;D#WFiLm5i!2m+1C@B@cBY|H58Ya54DQ0MrDm7mJlcBn;xPzrwsm`zIcwiPb2$G
zpjg{4H%&pIefv10h$zqmzP=xDqeJm77x}HcJXuEO*7uj_69NMn{}07UpIuc?YodUX
zIuG5yYkkZGllO!`(5GXYF`-qW{nm$fMBl!n_C+||BtLU7_rT~7Nm>3s#$6<WXaf*4
zyw%KU@7wdMr-w%sXPR1Pj_3K7|6Z0PL5L7h#s9a$B=vGrL{mG~nOuUNHP|bE>F@cb
zp$119Ea%*<ZQt;G9cSVkkd4@JIBe$&g(Hm5f94zr7SB)l{||s-_zZgSdC`sW!K?U0
zaOotH-Nl)g?X!&KIpRWG&)=<{vRFLSDKZcQp^*sU{?pSj`!cYlGsk|?0DU(T6COkj
zvpzIG*eFFqst};FE%_Y0pC{DSgP}B)b<I!O4SgT&>R8@v`1C#psMS9%!VI@FIyU@J
zNY$xRr{t~hrPjniA#UQ45zJU<APgK}x)ke{DF%Kd?66IIu=w)ai^_s?3yQP$Z(VdT
zXJebUKF(_-oa+;W4bp_#IuATQYfv3}P96XNqbN;oW~Lo9-w5m&o&u1Lds~4<NSFZ@
zU=y?|l!N+zCnvEvLq7foN`1y?bW<qs(88f~Cx(`2PQthe!~}sIm8nZ0w_Ij(I!Az+
zM@G7{bsrnWnSemeeQg3`aM{qe?~<_-Dp|XMB+|$Hy7;Ph^R4lMks1y9fA&T3O@DjQ
zzGD1BqGPZ!=>Hqi^bIx(@3a4!PbJ3xXY;9_?f=bu8loZ;pnwL3;A|`fGK@x1jDWL4
zGDhPkEx=AMU%a@y*5N|g0_D+84i2HrKQS>eAUV+07<O)FLBa=MWfNXGdE)g@HBMwV
zqAG$aFn{9kt?xU+uWp1efu#LA>I_@kS7K?>`{XEZvyCWV=~lx;A@Du=N0~zsl*EXq
zKd%Zk8(0)6o8e}x4Rtp}U(6V{YWNC^h^TXLh#09rJA`jRtD&7}n1<5jmVrU54p1`h
zeLw)DrJbh-8(@Y2aW`7~woK1YdImUQn~+YQX_YDSv3p%`V?c{#0h<co2pCUMi)EN~
zqU9h4{FvlPC%$M-{7NT?85F24@llnvF&V+c7b(eezYlnD^OZL${5jT^hpRS9bf0r;
z8nAN6%g5$<Q*4tR=9v)N|2wF+z8~&#{FgZYAF`pw#G3=z6ddS0!49g#s=$i7VtU>S
zD4ofjPdGBOG()QkQ1JmuMZ$lFE+Y7t4x#wY{W|^7M$wk2*h%+jam3GUIU=>TWL$~8
zXD1D@_mD`x0O*rk<*L`d4`aX}zVTFBW79b$@PyC@=M1pjS(|<5Mn^m`vif$!kGUy%
zrv~Zu<C$VD8<=)5)A1US7$VF?!;8x31u1Io=Wr`+VY(N%JR96|EVbpySONM=1Dg{4
zBi-ubOf%X)8yk58eo@)3CgswjZ)Td=VP$2d7EU{UxPs#pns?SR@5_8`Y90DVyf3pH
zKZ~RkmNIjRuxe^1^ws%U^qGa`q1Z`m56JCU)YyXjlB2ty+A%JnVXNxAK%*7-!|R&6
zD^!_YJK2h~kmlnxc4~P0VO#+Pq#%2qpM_=uJmcsHZQAG0^xzdgX9%s^itkT)e>_&j
z201C6RU0osf1B8}*wwpXD`sYtmY(Lmyl)2xffZ9FuU~7hps1+of5C!Dqi3K9@o6#1
zheKH*`mvYSxUGiVOVzkrY=7`Wu;#Wz#>RSkefhYB^W6<tUe{j7>A^Yv^Pe=7_+b8d
zogm?ZSbK5OKrQsof3Bmz+h2RRak^Epw5uZ0?16xNiwzr43!?wm7v3!?A>nmaFzCRJ
zO|D{m^5$nZKg7_kf3yIshKF{&REREM*%k#N-7(Q$A=>W$V(m?!schT#;hj`OB}pV?
zhz4Y)4ArKnP!WZQ%$eu8C{f9j$P`JEOohl48bsz~$dq}^R7eWnaqoJ+-~0X7f35%e
z*7xo8zH2>?$F}c%-`90s=XspRah&_VZv%6!yPIS4X09-0f`rx#v_Z1G!ZVB$kM#!G
zSMbB1<fNqQ)=yYCID{f@H~spM7q*(TYFcZA=otI^`=i9I>DVS3t)j@=QpEeJ8Xi4g
zHASQ8>#q?Hobu#3!G^QxF%r01o>n$By_bfXFZ?)n81VxU7W!{S0`@Dr(F3kXc}t>F
zZlhx)r9(^d2XSuaqc1sT7#amEgLI{#t!)9uGFuwa5Qf3^Qr8aBiW@*@urpD5A6oh2
zcr|}b*&*bDn8}jB*ogiF6pMelcKDnQ*fjU|v>{z1VIxpp|F7=570<dJAFZ?!mx=A0
z;oT+&nB!~hs_E6&%fV(it_U}vld7t7u8yQXN!W==NebLyozAU#%QkdAS3fs5!+B@R
z8Q6P4ONrkh6FvQZ*H8w|9OZ>4`md<&$=hezB*OD^<xXclUsB`nIZi2?I6^JP3$BRM
zd7m!NzIU`{5`=Gj1O_*U<%oiP0L}<8q#eQ$NHp=w)q_Gh$*tpGAu|NAH7bfFSv@*F
z9+R}*fZR~^+8DT5tnKRqh?jVXNLZtyqSkS^^}whBN$>oPlP6E2ES3c~GdDN4vJ!qz
z@Ej|}m@;qppK(YkkX%do`v|@t<@NfGqUW87tHbU4V^`QZica!|RKH0$qxe+0FV^%9
zo75y8*tdD2sLRf_TCdE@$c?tt0_+)fv^1axo7b%hKS1<mpaT0=osQBLU5yqcW6|hx
z1H1G8ONEU21y7#9o#n%a51fat$nx;KRnLC(=n{_D$lcpFZziBJ8_f90!EuZltd7G9
zhl{7DjLbRiFx;?DL#t_)YZ)psrf!W8B3|NE7T97H|D|z}98h<#WJ{xJj(bqzM836P
zglU3HMb77mM|54$uph#~4Fhx}gJ{43Oi0-nh+M+N%&c^wFA&8zT<C+w528NDK?6Po
zV1&&<#~eZHft>;X%4f}EperEz(LLd?ga3XtG0_9=JW`U9uyaJa2^`*^BaQv&6yO=>
z3aKda9J}KNLmnbW3p$q6I*xuD2&~}`9#~7p5-QcjSqsB|Uxa$T>}#>RBRar@fuE9+
z5>#k71YPm=!ri4vpNOGgXYB1?ltogx1?XhRdoMbH{{cs$wojiJIXL3)-J6B;bTC}p
z@tB#q5f!m@cC_HbmcHfGdz6-tUfY3U3!G^h5`w17FHz`%zYF%fIz*|Z9cy-q{#j3A
zn7+>bv6P2iv8m%_ic039&X!%DR`;HvWz2HDm#sER80VlR1z;8na1`_b-Epc+&mPcn
z3vh{Oqymt^JhTbOE|!pD>0KlY_6d?yPWKQ11YoxJZz6|ATyU$NfiM8-N8DOsDi18Z
zzZrlrtd&MEI#hR|%4e7J$o1Z}5o#P@Z#igv!v_*|Po|HlTix8xcWi!t46HG$Ay{Uz
zvbNS6bQaKie%vqpvkRF3+PbI#>(mO|X8Lfz!?*6+5sg*vka!a2MkrJv?>M(T2x>SC
zJ%o`6`nqz^sR3)*SP#hkjLY*E>z!CJb<G3XLhPeC4{tJ=eDY*9)Xv)k&f6{jalb0H
z;jqfWR+2&a$~u{MSCyDp+x1dhxt~eJ>i0Umw%D|J7e9YaZ|BKKf!?nYY0Z~`7M)Zi
zq-7G8%$wO|-A<$X{OK;lQ{1<MgY#&+_eNX>`$+NKL8oZs1HWh06#t9W@~CMa1RRo|
zmQm}!iRo3*(b=vm{}5&uQd0RKi=j6QMCL*K$ZDJVycMhi;3P(l4OWuq0{sTn222NH
zl%3*bHlJ2d9#hXQj$d5y0L}{H7XEHZ6X8y`a>&z_W1D8l%BDYJZ|UjZ23K<5j=Fu4
zk8hWGv`>ur<uOerRcf()C6P-fnz+U8JB;e<KCe;dkx*5s-M_x?_W8%XF&0msKHLeH
zIk7UU(nIoH7BO=*abj%6@gW>?{$dF~4oo?+$o`N|utpk=B%3gd!Da#Jy+t2d5|~8#
z>QSwIo(JhAmc$;W+pus%&-;CCttxjI{KI;outmR^fbzV&yuPvXkfiMBNT-b!%5D08
z(yZYcA5>L2F|^yb_1<lo*YR9~EzbdYplb=I8AHrhLIGitT@9O<U5v+1pFT|{QzcM(
z#)5)~{NtEPU}MjMp>O<Lk3nTGw1v1~Ga1{J2Qy<<^qR>s8{OR9qh(Qxmq4D#H8Asm
zb6A$1TnY6QF%}c+7-H^=7cVBOTR3cE6V6)my14j4SC}cH8lp`-2K>GDa)(6>Ef)X^
zz{uTs)@(lwsm?1MK3qnK86aNS#3Jl7AITK>9-M_)4y`k1?6J-~KhPLxAUNHvGDgw}
zDxiy_Bah$B_kHK|-FJzLpXClC+6mpOsO;9}lSqy)XFT5>NdB{FYZ8;%(Mqo5n)aEe
za2YMZxCg&bU{saHcY=%HYelYv6Du{<s)Tw(nuA<KWn}ecdTwr)A7o6UubqeM*vU6l
z_=@cN{bx=DbI9pvYghHppbvkCDJ?bi0IZE*k%V}PS{6k@!G`NPx#nk}I)Z;Y2y+le
zqL*J|yx&r6zb`R##$v^9U|;~G8xX=&;-p0c1t-uMhG_Yr-U=o{&Y&x-!><Eh2RAor
zYU&XiV3&_WLg$ueR_AK1ztIN_liTmkc8S~aD^GCI6M9FBl2_$!e6@xYwdUu|*r6IV
zR}G7%)NlIO*O2=Ih9OvU#=WTG2wf=yS*AYiBA9+RZ1U+JtcB;KmSv0BEycSL5l1hM
z>v5}P0MkTW;1`O66sor_DnLdL$Gd<1{tfa!VK_$k6ak2oh;8~3kjT7!`yvo~S!lp!
zmD=;aPS%|4L5NYIp{1c&0G09=_z_#z-vHh-j|K(W`9SJ`ye>dbYPVyLkK73Rk~8W|
z=z;KY#W;IFwL9c6aI@AlgY^6vLc%RYG7V^oAuYO2ceKI1aCUyl&b|8ix=yNx69(VQ
zE9A(R>N>yXu~DC*;d<BAwFIioE<Y&g$c~3!>F54hB4lsa?<0|DA<02c=%>fyg~Z&+
zNu0|VQ4$Zx$q1`ZU7gW-k<YIoBvjv_fM7b|G(-{#-IGW4O~pspDgifcfaa>>ZfZJ&
zqhFd{K?7b~a-j+$c&dP|C<B--y*U4~3*QqqMge|)PtQJs=HD6RcIP`914kTl=@}V=
zGj3y7TgAIdua-hu3=S(uBBiLV34Ybe^4Asg*t5OkNS%)+f~b5C|73MkR=#P<>Z3)U
zPcpwA<@MY?gr+b0MOl&djRPX+Qld9@`}X=duWuez#@XQKF$N8}-d<MzP@%iyZ7{pc
zLG<6Wv@nv3jfJHR5JOK-4~}W#jL-GS&(H5>-@5)NfH4e|K^VY1uY`nz?n}t+Q49+0
z*@K<|ZUg$0U{(Qtj?$Xi6!^9Q45zBu8tckp>eqRBkqnoNBW?z8UXea@D4}lmD;zS|
zS<mlmDw}_-J_>M|hU=8v+`X2RuCHGY?b%}iV?_j7Vrs^7Lj`s9yQg;-!|Dmxegn<w
zy3E(F;~Dx!N2{8Cwf9a=s-26mHaCB+U`)!prc26|s5#X3N{POQF1r4NRH&^-u(%B^
z^)+JX7#R;zf#0DCoR_rhY?L$zl@>PWTOoen>~nJQsD^{cAS@P9GeeSRVQ!9l&mwJS
zfQO0X%3{@A4u`6^=T}$=8W{8-zX4QJK5!mE25`r5HMPhpWAwgFIsJwBwv2v>cc+!L
zcFRgj6H|YJ4g!d(=rHj65mR_TgA{nP`nkjn@(VBkksp?o9iG!T_;O)k0qYyySc|`Y
z;i9oG(Xt_I7i2lI9zPxcSmAPu)d#juf_@CXhgYa}ftBbN3PxpY1+{^~t2Kw&-u<~A
z<f%vsk*c|IMu(%O|3g7kN&7ZWq*q?B{sj&J&$ZPGCg%L^kjS&JR5tbW_bYUCYpa<I
z4-e;i{rV0nnkIMH=hjxtTDgqLKwz=?g+6?^vn#oOz~Pr8vTZQIK7A{J_l7CE4Mz9*
zg(AXUR^4oC!=m=Cm^%K+AdXiFZGrv!LpJ_|LG{GGtl~Fbs$`Ok`rZim2grENr)OnN
zA+u59-zAv}I2J&mA4A4wX_8vNl_k;7p~|I&jTQl`bT~VyNS|k~U@h<T6JRd%WN7m4
zZ}OYuUi)79L;uXk?jcYh(mr@vf)l3i;v&iQ7&-KjgCjjR(Z+|{nj;&_L@tpyWlT5}
z$YN1pd5U`y9Lw5_XnC<qZR<XsW~qB$%&!34qYYG1wFLRDwziSpUc<+5RzRCX-^=R{
zJ_E!ljjLC$y4X`azZ)5;rLCP>FbI0-82HOW%!|zvXu-(K%fpF8T=cBsIh@?Ybd|k(
zU(s$WQ!}sl)X?xyJvG-uSyDm*lqF|uQsUSVEabH6<e}lxa~Dc@<x$-Eso~PAn$k6o
z%=9i;Z)-Y)Ca)8+4fL6`(Nvu*!fsf9<4t{i7NmtgEds$9#}qVJd?95uxAju<LUM*I
zoO%5X%qF@$<PxnS2}Bz^StqUpoMDjrVi-Qb(Y2PfrFQ+>(Wq9cgwW8#G}yVA^u$N!
z`mJpSsR9@iyneZptb595G*M*#35Wh&;Nj`r;1{n93=TGC*$mC6C9W7hOre!7LfBv=
z4>%M|-njr^Y4(QptqndJWrC!`_b1n}{iGSQ*w*W6qu=G`;s5scjN6L+oSVi|vsHAu
z5HD^G`A}V1+2Cyn(;vT3061e4`^x)gpw~M>gYmcxV_|iOGT=gaV3uFk5~3<`FknEc
zA`R|_1!|_xyJ|mnqZ(EU+76nR(45&RzHpGSP;~`o(&wWeQT=A8A5dRFmX;FV4v7BH
z>A|lKj*fn5XqZMG0@DQr*R^zlxXaQwm{C81Z&kysOv<~n|5obh-SQaRiDD(}iZeb$
zEPoljG=>1}9gJn@k{cp?bB7@}IRL@zj|}9(o5>ir1x|3o#~x<V!@uAE<%fl9Z@H&<
z)_*y3<6Gp3#GSl;AFkfr&(hyFX7ZzI*clO16{Q5y8=Vdyim2v~(L^6`e3Iy`p`igl
z?h3MBSmm|5=wiKb+*ez7VmH%mA0JX76uQSsULE8bK(T`q1UPIwVT^af>9kxz{i%~D
zJ(1UoZz5*g5=}KSd`$xASs$@gfmHrEFs5qo`?qga?Y}M(YK%vViyrNx3OgB4BZ`WM
zoN>H3WXM2<rTS@g^-C>(0!{U{)J5Mf^K^47#)*#Hp4*Se2#y~Lc=+%kd?ruDh##L4
zrY998X)xpNNBtRl(qVW9%DqJ##k5>bxhy_E9PI50B$4nu;*bTBow8iEkLfljL7U0I
ze63nZtEBxAwe3y4vCkWLck-4WjViNJlj+cf-5w%g?lJ$SFQY)Mf^sGCG?83@*=vO_
zF7A77Z$zPEds;s9>xUhG16IWbk4;FpsH1}n-NKsity|ir-c_K0Lc#e?vbfk7?CUUv
zTTV*q{>E{%-+WV2%<uqke?-yZYVYsJ78WpSk?7sAN$&MSL8Im7AO;6SEEGRMEFzE4
zl67+a2;>Lp3HYqH6d9SA?#0J<j}6=SYGt7sN9yZP@CSB{$5mBvp1{i*lfQm}o%-(5
z416tm`}>WiSXRCA)g}295SyR$Z6mF0E)kZJ#JpY=7LG0T&B3Ln>BV8cP&`)j2oqkr
zI6H5pp@!-6@|rd4*1`19FL=XhI~N=#7r=}qCo<epT(xQyG80VW!(m`sG8efeh+(xb
zEkX>PJPtxq+kN&HermhJI5eE710#Xr&W+=IM{=T%#u1JiG#d&EzEoGI;fCQ%NA0)m
zmZIdHZDqI7QcZ1WXdtQ%P^!|NKAoPQ=YYo)GFaWH7@BrIWLLG>JvecweY_Lb{6p@_
zXzjjGWvQp4nFc9#(7iMDe?eA&4mI|nWeE67nCW^5W()YknG(&3LgEYmkiPRi)>JES
z5C!?l(nBfuA9zJNcYfD2x(2wu<gC?HRQPxd^?cz^7|0Q?Vf<$tu)F-G-HO2pD8-wp
zRt@F;Ll>W~*UD-5y|{?t89u*P;0nB>g8J_pNjeKwE>ARC-d9vOY@tx4@N<^3y}p}>
zgSygK)aKHEE@3r3143^ezk%UlM<)7z?;rVanf?zlC2)_Ckf|X{$F#YPZwZzt@ls9K
z>A8OG8qRkt8Tg(=6UG#PLerlA{qLm1Thf@_o?+==>;pVDeojx1pre2@6U1Wrt=;*y
zoYimtT|w><t1S!QjRK5fm-mV?bf2&P&lR`tTowBO2hKm!b6007-`H5T@u&Yjq=ysN
zjw<lc7f*mCe|s%E7#PaV82tN%X(=te5x^f;@CC8s;$>Xxy1E{`{jZDE9zj`rk_IWx
zv3UwcP9hm-rZc+XR3t0oa;4W3Y)j%bYb3E&9z)vk`(Wq|@7?}^P!0j%V#gp8z~_$8
zWuqmO<H|%*^KWKZKokLSL45aaWLlLS9kFkp@6dw52-tijNyHmSb~YEiW{#q@f`7LY
z#SO*uGVsykA)&^3ffFAIiv89|9#8nj0Rpj}+D&;|oI0=`z&4in_c+Eh>MM|h6G#q9
zI4}s1O#j5bta$e>*Rr(^J;eqge0L*9MWvlg>*Zu+|8un(Z>ZZy%tjGqA)JTwmkLqx
z;KV|%C-Ryumg6_&gGeN6<}~e*e^04Q^8Cv(f-R6n(GTM{%4oD`|A2b&>h|9?UUuuO
zRN4tP&D!;hW98$!hrTR~ptO~@>%r9K&R6#6jx-CF_0Q07p}`#z6x6Ky7N$ak0oE3B
zH!M{!>UmU9LtEQ@VY(N33cNs10G?L(>Q&{SgTk5P$)B*uyb#rpg;~RFkB*KFgB2j#
zp`xP7JrQ~Dp0TMZWLyJC9{|P$6cu^GDivHDoFpkluMMC=fCvX+YZwR!k^qo=5dlzj
z5KSOpXVS640tQ+GaYiriTwwbvY=fT>wdXp@n(w(ciPjy=15)&lP4?)$S2{OfwtRZ;
z%KekhKZk0^gxuuGJ(tr&K8{hx6H}uZpz6~sGp6F)ycxD_&SYg}<w~&hXX_N><KyL_
z?ynU*#<&1v8GzKqVz)4cKG41T`!#fQo~fr&tzM0%0@%*hxeC-E{SuE<jWc1&AbTrb
zL{){_d3K_swV~>^;v*!;h5JK35aiiyf;z_9EX=}E4t0j~|KMmI^)=DIjH>SyM<%2#
z*LBl!wT_>)jgNRgEdJFx*W&l?+QOHj=lRrNhJ=d*mEpyCFD&ot>o$!E4h;^X$yW+|
zncx>dm?)t?42cme$XIslh=ZMihK3{HKOlL26b~)b43bh(X(!>P=6hHeGkXy{&Ye34
z3Oihq;p*$-<AW6dVVQo8Fc+_+qzix+ur=ZGic}2(K`eG49XQW0!vww$NhXHp%Q`C$
z1W^Bty=CIbw`&$(nEbT9kw|s_^1Y-G$=2L9p@0N&i@SKz$Y?>K)RwWqa7qSINDK?J
z+wk1ym}BACg%cV}=0Q{xsthHbt>A>s;7Iig1snv+*Ek#cjT`G~YQEuT_Vyxj+|BqZ
zz%~G~hOmnHyU6^UpGV5pUEs*iHGsc~a2*pt42&h%Gf0%Pvi5VmLq`B180D9^_&s7^
zy~V#L5iPRz%3J>pv+qI9K`52T7bc8;qKp0pIG-+W4S|(XnYB5tW2Plzwd5}qM>6wh
z_lS!-0Wr61Nq0xa11XAmzI!;b9TX<2G|?hP{>r@VIPXDh0Dp4z>eYh5yr?}H`X(mi
z@Xc!{u*85`bs_b`*#?YrM`2@Y>-{HvI&eQE-iT%Q=n;2@hf_gO5p-1f=qJ2*(U>hv
z5C6*jd-fbaVS$VYR*=M21OP|4fkP7*Uin3s$M@>5!TY0uNKHRc>zCX(!27qq)#G$;
zZ}!l+>*4tp?asO{Mm9Gq=u5`5*nowD1hW{c2uU>rQ6G)(V;h{{y^Aypwovj3pjm3^
z=n$|k+}ykRgqQ#PI7PnMt+faaFS!y&Il2a?cZ=(9@?P7EChzx~=(u2m`!UqIe|xq5
zI)eiWPO!D|GBbsEdEd3Ro=ZLJu=N1j2&jF;%ivAHp$OMqcNQ!5X}&X7kRt#X1RGUy
z<=tH;jYV0*^~|NdL(4-;O(maj2srwsSKH(ia`g&{Vk867M+UO7=oc)MJLeo`M;bqV
zJi!qH^AWSh=T%i}5of__Kqz6}vLzg>8Ecl$goyCcrQ3ml5I^ADB-9u4VL4{U=wv5?
z4%5KgDX@i^a$!DN=}+tKgiVyT#+YXewt(3}^te#l0jsh{K&qgF)A1ZOoL}g@drXCB
zWt*V)09xJwTqJs%CL#?M(;z}QIyhi~eC_~_iR<vz)6g(_?2qJkyB8R7Xv5q1qChr(
z@&S*Tf(6$nWPORNlc#@)*aro`5njgBO=k83J4Eqh;h(2!gK+;m3yc;p9qY$9-DTs?
z3rv1aZGu*J8M7|jJw3-KAx|Rsa43!=@85^h5aJNhE-WnUCPJ?45t41)A=&N~cJCfB
z2w~p?taj;Ok7!m}FS#UtySi6JMWwJ$B80e*7UMc)Wo7R$J^7hM7&L_`aU|+uJ<Pw`
za_SHI21pn4q<urcYz_`aqhl7yK8`tX_!!8_Ko;?@=1o#uXpphA>j~W_yfeYK!XK1_
zk1{KQCOF{{Cp0mv0%}cYMx&z-m^VC3iTAjjCM*vBoM$<%JW+~uTuzDWNIqI<Wg!mX
zh4rnrH)0tyT(E&v!CXIn{FbRm#EF+!s8}v0#>S|U3ZSxVYSKtN4TzC2dPSBD;>X#n
zsb}D`2fUVc8VMyE7F~gK+hD&hw^&8)x`GaKQgJ)z1U%f_@TMl1emw87z<}i6I`%{6
z=+(zY{er;+K#g63QDK2WK^y4lzu{1~vzvy%k4PAF4o?|5k#CX{mEjv&SGRHf`j1sr
zi8)2%x4|&>{_TP*J-Zjy;U|tCKLG1=M1kCc{<=H-nGa6I+SBt4Gccm%Y<|O^o;8~g
zT+6tc;@E^Z1Fr0Lj*e-Wnak)IhzBkWA6g-NcvSd^DYkeZK*^xZy^kIez&?x!d5Cud
zw>t@TyVf9}J%N4uw!la@43J)oiy}42r$z9IT!Op0yl_K{d*tDrFfd!gWeoVsiCd}!
zi6dgy4YDB+u%Y>P?-XC0zi{rHl37Z=3goIpeE^pjl>Mkl5P%TraFNf7p55^C8<{-n
z*n>iedhJ>c&{L5ZsRVC@`3-tbAZSLb<bm%!Z#W`)fc=3<SdJfYeCQnTJv?0_R^O0!
z198uJQz85e(PLmB>tpy6MibAEx1QR$U}+p(TDk%tThg{W?(SWj0FN|#kulJ6;ddV^
zRMqHtY$K84&a4yJFXVS-o~fte<j6zsspq~31M+aHL0zPCDovs>dJF@%4Geakx*ig;
z$=cKGK*WQDgs%|Xzy<f*Ek*T<7q6ltg*U-ZjDZXk9Fm&Hn)*Wb4`D(u+Pi|azBnkY
zTYC9aV-#sHG9<l)X=cdZa8+cOE<G&{_Ve&+*TCfo>67V03;x3eC<dzY8ju^T=wLCL
zfnM@!Hbg2AtTZ)~U$!F8Kzga~IU!M^iHMbnWE&6|Dk5UG1_J1lg4s0tu_NB7J$Ew!
zDU;wbhUN?M^2Q=Mv;}bJlmZhv1{2)x1INkAXqY@;PkH#zr`HMTV9)1BxxG$Cp@&ME
zPW4!Lgo#ehxD_Lx+f2r+ovbT58KYRivx$z#r>{9R9B)U$p?%>(jkQ5;(=s|zFY~Gg
zzoT5kTKu#FAQq=&K02tTI-8J@mB~8<MvL5fkdngxyI(?F{CO5CoVfSEu82-J2pmY%
zPn|jy@$n9;PcAWQ`hjaV8ta%)hfV=@3_u_NEFDPm9(5>Zo*Zu=82IVwynZYnyEmX)
zeja^BJa&XPH(3~(H6UvNdLI`RWv&H_iXNxM#hF95Tps*z4D3sA72C=+);*WnMV;DJ
zqn!Op0$NtwYxV;U#)#~NQ>MnofGZ$LfYKSsREDeOUQMiK=r)OoUY`AqeF*ahy%%#&
z@AevuI47Q8ZJbRQMs*dn_U$;Itlnrg1K+;>AF8t2B24~k+LY@2Sp}zqE<Ep!Mt!lm
z{gu5DvNIsl%h-WaVETVW_4-~D4JR{PHo8ikU^U@R<CGX38}q<<0hooaC@tkl3i~kB
zg^DzrZz&GVyC*FTL$@^6*Y{@l2il=(4S^h_hqcNcm4ij+TQ~Myr4L9s^op+XyV4EL
zqa8^zdT(J{hP!j@nE#|MN(3%Hl?Mkkr9AnGsuYux7|38{<a#_7gUxSve7wGn&I#92
z1PAzAEFsz1Oa_7DS;6x_?E{!+*NY7X{#f$lE0j(c$OEWH>72hV+I=PfXh6h%`}Xbc
zpHubIJ0@aFw&dva5R=$TI*9N(RKvP>5HgFz0FLj|)8<xI0zyJsKRYo#V&le*rmXvL
z$UH!Vf>Yv~=H`gyk@4~BC(m+o#pi_QpnVS7ao{^p`rW&Cvm9`E9L5g9H=Jfi&qbpy
z{6rmpg_eev*6@=@7UZ`Mb7Pw1n~OK0ZvzXX2=F{=?+qCTP<CfjHL+i)3$gz-nJ4=@
z^Sjn{^-ON|PIr4QAq`Fk+84hDeiR~O$IeCdC6qCNW*h1i9zTrCXli&3Z6=yKrJg?_
z{}5v5BjDC6pSqy-p*gdg30Q~INoaXI?48M#NH{3?SGO!Yz?jyLKJ<`JKt!B}%Z3HV
z2+~+Yh+TewvYR5hbHR)a+_-M1UnK<qTTH+39{{Y7`VPV_pb#y7>HmSh-V`Ui(hk$T
z&Pw|S+r>!=QPc|U9@s46nGvmUPLC0;T36&DGiV(VU3HvJ03pz(7VdCcMJh|><>h^v
z;~H5J%$`=)oeBm8Ati*mtndZ~!NV^3B+Z$<5$NgWt`uWyAtf?j)xM{utE(%W#ry}Z
zybD9Q$oYQ${_~?v!w8Hp<xmEBw4KIv)$vh2<x$fqX?mO%|DQ3kpxd`UJv$<osS406
zS-ng7zhSa`P-GrG>O*`-wv1YvUDUV|jS%!@QeW=>L8$~=$}YQAprb_OJ>XD5OJIiF
ztZ)s^!pQh|4p^T=MM;DAf-@hOWLWKH+?xVSVT?$7<}`dKxv6?oFQo*Sh|Tbf+oc!M
zpi~1rK+qjazKBAchRegY#2?5fV(=F7u{$h@1#(<my|^7X{bR+<f|Yqi`|lxF6iEIu
zn~{v$211r)KY@yG^XNwt_Sr8ZJ3HYYzbrBDFCsp^?y)g~@{h~!FU`Qv5c&H@cNV`;
zkbSTNGJ+5^B+quIS7!KXQk9|+2qA(>tfZ>#e5Ry*pJIDpKb+ha!NvNrV>7}lU2XUQ
zF6O|Oc@3<Vv%yVlkT@2;(A(d>1S}A)bi&_`uAm@n{`?tqeb~gGb@T+V0ZiM-s2}kR
zbPx+ZO#(JJ@6#;m0AB#VP*}f33mmUzaX*3ZZ5?VeX{{A5%?44<teumJ%oe9v0Ddfo
zu6V`yqgZQdxuRl1U|d@7_xh&1-55>3^KmVo$2lG(6_PhyBwF?4OQ8CaT!lHB`-O!=
z86L^hhUhmpH#=2m+1lD(Wp{FrFB~b+d<*EtC-06X)v3}edavxtjjK?yrBws1XxMWG
zsCat83-sH1W9+^ayn4mU&%cEX{02o<M*f`>$?bX8y3WoLT==<C;%PSz57hs^J=w89
zXxFb-Pd#hyM_l2!VMG~9sQV1xp^Akm=U3$ysEDzB@2<?9!&hYyH)r57#uEk5DAVPD
z@D1r}3P4Fy5n0e&oNjmFB-@WEXn5{Us@uuR5Z%Lt6(}MxZ>liNbO_bsmi2Q2)79t;
z)wm#TXIo8Nz$cT!&#PXNLX8N~H3~Xpw3h+sVtj3b;19eVknV#_@oB=#=fDn(tK9xq
z+5=l#qJRU`ctKAOL3JBy`IwkRDA(Eq?ts0pcFmf<^cTY5c_)LLr)Pd{?$cHu_dhcq
zN{Wk#LqsWvRom_gL?3`rGQc_!5cuq=K){X$w=}6%FsNsu?L|KbVhDVJl&n2CFwk=(
zG2q>$7mD0_goNbbT*)q?OhZh?1ZMT>CM#B4Jn(Py^)U%%2pJJ1QGg4;uR>D5#KhDl
zO3x8;|L$E;NX${IB1}b4>W;#K0%vqJQ8BoqctQ{|{9ZcrGZXy=MMaipd!?mc0g(mx
z2tCS9BIzYPU&~Rg`3-*^ECr;-7R7D207>iifuW&_q4U8zDS|CSFmL8J5?_c^wx_Ga
z(-jrwe}FopRRHQL%C?Xdxf@Z?A|-}yV-JIQ{xIE*H-x?6(2z|>UdC4ADdO#T&A)j@
zSJDn<95y&t#0flU5SP0tt++<C$w9=ck^Nh#lFB%wXk`Z{Cpp;JYYlJweLLy!i-~`g
zEQuuP^A8IlmC^2mF%sovM@58A$}5gU`I5vx^Z%cI)u*g`m2?7XEBFX~?mk0#zjQL9
zLYoXV$?OJow-u!{n2h^}Rbn5l(Hp6KJKTT!@2B~&KU~vo1*$t%+;dl^I13vac#d#~
zRd)MI?~7JxAx<@WN5?HR)9XyQKpSA7!GfD$znOE{#wN0Q(2v2@)m7Fk7aI+h4|p4p
z%I+7^`_Q>jPjw@T&OBFvI?N0N-}~14OB^9)Q|IIEqFHbvndlGqAU&M2i_<)LGVp>>
z{ut+Xq8)+mtxnbz5Cwkue*u+93Q{#srSfPL!*ItTIuwWF2qL92uO9<ex7WGn=Ru`F
z8i3wQ$!dEo<nOab?j|H~em_+WGybu$%ZMei%GtzksizM7__e&eJRkgC8|-2bK*0v-
zKOSeowEn27>IMS;X@=2bcdv9B{C#k7Y0F$ly?K1sJ*T(%_k2leBqDn!UOrn6Q~mpC
z4|QnSzZQY?D&A>>t4X_V;eYeN6x6Yde($a`%4ffOB%iPeNJ9TL2JK<DVvtY91rL9f
zv+wgu+};h2ppGek7XOcDwY1O#S_0=2-WJc1GKYK+dp&vg?A|3v_1Ly->BnnwvKy!@
z#4)hESZ)y1R#*RyjGK>_7s+fnzQ%_S!{{Pj%(G&Ba9jN(KvPKeP&r_H#`{YzfV5#A
z2P*a}zXrEO5(u5atM?kIXC<Xo(lBu_0mQ>Mbo<+680y-*nLV7x;&*kMWU;iB3Czaf
z{{n{09`nL<a-LB);^k_{^^B&8!+zGLi3zgq-_b?dymhNdNz!@E>V%Jr+}c09Z=5(n
z!{w)RVd)o#-kLr&s!M5_J5laITfb_t5Pf@e3)4t?q2EzKfWPQr2_^^(bq{hOJsCh<
z>rqNZn-r%1ryOA@MyFS-g-WOy?(Kjum1$<+T0b+hM^I2R^{lV2FCb||!~8;HbnJ;H
zZ0b{GUR3>$vJ}W<?DEC=3Cj`VquiVIXk+910b6Iyk*>M3M2hTVsq3951yco4V6dK%
zvjgQfBA@j`Ketj1xOMNR?<v_sD%G6)u@SYB)||=O`D>07XC%0{lS4y%%z;E=3wQRC
z_Xy+A0}&>0An<r2o>h#;0q+13bN%{tWU7{zFXP$jfs9HqTqB6SSZB`1qgD7AXb4x)
ztC+Ypb~*K|4wP+SVVfBk>~Pv(rC2ia`C-a<CWd4q!9iMvmOV02+(0yWlht85z5sew
zt^j>?)K>c8(6Z}tTo#nz!msX_mptQN&H-%x_8~RNj%=l+$H&7vySk9(5pvFUd+4A1
zLV>V0a4aB}wCGyFFAR?enoMWFU^w=I&Vmo~p3)P=v@dC|1-n8KX=!OOu^jvidw%xj
zS^O5B4-yo4fR`}tCEv`?cXe?1jz>t#1%X6OZEbV<AD|P^0uiI}yuH0?xzG?qLk|K!
zh_C%ZF(0h@&2#!62I=K{wk!Z|CP*R3WHBN7go+9b^1eZOd}qo5y;T4^FhDXwj0gRa
zz?Yyux7s2o9N<O4nRmbhob1q{=pvM+*|OYzDb|gK3m=gi_*>Vu<h_@j6I{2EztVEy
z@KQd0oXc;AwB5t(?7OPGNcH^~Y;C7-H_UB*&d%af1-J%K18LgM&dp7HP7Sx&h3`z9
zu3V4N5gOQxgxKQLZ<MgrZ-jYeW#iO1PhYqo3rdsPgM+j;-oRbFuJi9VLOQnu%Q;Y{
zRsdIgzP{_ueSitAXs&}`2;P#OUKi3P!loR#XxmO5Vd_zecdB$);a3)up&+Tj^|vMt
ze%h~-TiM$B6XI#y5rbF%O@AbVL<v886~2x_=Y6sNTNJj+W2C_wfirv;!YMc<G+ac}
zWEfSO5agh^G_;RUtNdj>+6cGw+@qECE*8OYio60)Utk3tWPF&_u9kS3$bFDLEFnE9
z1sM@i)X2z400v02+xbizF75VI(xL>&jmq<f_t+XlMyB1&RWU4NQTlKEmgUKlT()2T
zO<fe}42<V$Pq<(!HT?ezcI$Zk#o81V5Q+MsVhX!^_d7J;d00Viy(k&LH$%ulRnT<&
z4YF>Kff%=M-y5ck8q_R2w4A<@aKI;(HCA2@k|@jGQ`3#=|HL}C{{tCO68WZMks^21
z$B&P)=7ct<Xu&iKBsQ}0e*wA;&QpJumJpVKf#k!My9Y6loEZ96_%m5Sf#3lJaCqEY
zR{lL7yY-HQv<X!`CQB~>U#8&#kND98k=<y~U<}gtQV~W2BjrZQbr$SqeQCXNbXU&k
zh1to;NpyXLxQsD8h3|tw)6mcV6`Eym37W>~kC$I4uq5zg8iUZQhZ$k+Xe<Ny+{KoY
z|9doc7{Gp*vf@6#6<F)^0fy!$R8^DLWlOVInh(-?fflnwz}`yZf(Jhw{=eytNuj;5
z;yQP4rcn}2F(Dh%^yxaO6k&cS_E<M>M${&XRn|REIL0$=uB42FI9V0H7Xecw3E3k4
z3JwTFdBoaH8#i`?dFb&u=YPZg+xXzV{yDg40xXA5(PMQB{M{2LKB7Gj9^aGZ-In$&
zIs{*%xLTN{?&Wvt_>ET>XsC7AIcT`>iZLlO4Rvv#*|vpv?2;FjYLy>c==gH5o{@$c
z<kp>jz^eV#2A-S)0m;N9`SflTc)52%Td<os5c9o9zRgAgMyiH~4LaG-<2N-lV4{PF
zT~8T|#ffD`HO8c}rM4TCrp+uYZuoLY-h>Zmq05P?5aMDJ(Jwfx!AT9QQuN@v-Wyl;
z>}7|Zx3?VEJHXUAD@1lV30U*=ZV(upT#FrtgS#zQFnkGVRJUH-y$eF<o=D2^n6AVG
zMe<Ib&5luiD>?AJG?EbxPnV=EX*@L+#G12oKct*VR>$gZu@`blT;6elm$B>Wqz`T3
ztQrVDCj%#1mMu(1By#8ElARMZcA$mZx9N-Mm_#l-X5|BzbIR{4v{zVqsoAa@=qq>J
z(3Ahi@SxS}Q2zDyFODedV1m*D#yVm+>J@m6A*oO77R?PWR^g+grx!oF^T2^GeJlt9
zXq3ZI-Jv!Jd}@9_>NRUdh1em(0A&0cbBkk2fHHKXzXcCzlu*S0L?u$V6*aM%4cE8$
zU+dM{cdBRfr!bg?79eY%NdAPgv@4&Gf`TbFLd5TT)q^T6nT|q|GD%D`JBDtgOq*R1
z{8i&oZg-L|{0pCNYoULgbA(g!&EbZHL5G5abZY`fm)32FQkbucKaqUd+x0lxTTW5W
z6UmGT3X$m^t40GlM;YD7H|u#aHTh$1ruI(gmr#41lacjDMh6bVc1f!?WUUC|nq5@5
z`s%tmK0lyHYEnnRF2vRXF$RFwWc$l~0ltlqjl{`reZP7TI}QYgCtrSpgluI~JDc-v
zTIO-0@T*H&!pxR~dLt0#-|7uiE`8dVI$FNA=3{rFV3`t;T*lqBlzDyX;<<j4PMJct
zW9MBt9C*+mJP2|<6gdd+W3Q1%0Dr>W2Df{!6J|&dupU~ppbG5ppM`be19@+q-Au1B
z<}IefL{$6ICGOa7ddceEIGp@KL6(ZPnvrB$d#+}^e~?x;)zs+daT-uhPa{bwX+#+Y
zZdc(Qf|rabVDVbD#3Z7Ef?o>@=lS(zV9B#L;v>*N=5=DF-UpA$nq}D)Z6)`rXlQKl
zZbRmjQDRQbWn63(GkNSo>4~*fG+ew#Wrt&*Y#=8#RLUk8Tre`?@m7bcg-NsLv3)S!
z1w|BnA$sR_Dx#Tck#c0{`r0F?A8f6xX6NURZSz3df8wB*`c8(nks?(~MWr=5bDN^I
zCi^Z0s11E{ciA?rcYI<^w7P4&JIBl&2FzF0omaywpD}`UN09ykO^0w&H+T4f98Wm(
z!yW{UZ!{*fr-Qip`3aFT`m!jGc@pZ0JBgs8m8GxxKg>UDU@$I;htKP|UqIkOwlPMy
zoWOL92kk0g0WvdZ>b$)D|6l<Uu^x2^iZvsL;Gwl|3$&IclJOya44BUW;9sI9skk`q
zHO+<%&0USv)s_$-c#JziI&>u7RLo2MV(QuUp*z`rMOJo9Y#Oey`Hkz|mMJip{ZYAG
zS9V{(V^pS@*-VyhUE=Ha>#3>um*kCIbNS8o{odBCZ?{44Sb!ZJHI?kG9D3_mF2Ctt
zUS1mokNtkCGe`AFDY@?V!xNp_JJ;J=6z{PuObL~GcJtb+o9;HgULitMzWGZlZWu2^
z0ZQ-BZ=1pz1H`zQjBuW6dx%T}o|zu@Hv%?N-z|)cG+Yr85o7kFvpHCh;CqZjLIF3|
zH|7_L_Hqq!PxQ-)c?nFPsx~foUD45LN4}Qq{*bueT}Ag9&~<?)0z;QFIwUXQzPP9(
zbl=R(tf_8=C<qxb1-7Zw)fev3gCF0$yIM0|L#R2xgTU>NI<;tEBOGUm!wDJEd4Wh}
zUXU1rLqb};#)(dJD9-!ezkhe^IY|1!676^;msjNEH<fxN;j8l4Wzzd!@2gKsX-G@C
zF3+#?57eyK+%!6lg9Jdgt@#J2(14@iO0Bz#qxq%*Rl2Hq&PAdaH@AT^<Opo7km*5q
zl&rod!y3I|oJu+pPgCMh3<HRgVywMWh-o39SJl_n3JM6MKYjYYG625;<i0#nElW=q
z#YR8uHfA~e_zH+H7}k|gKa5VoDO+D8a|<vt0^=JGLi5nD#%`t+__HBB=2MA!_>%e&
zVV;R#v%h$n>USkO^~6kD%-S_=QHtD&r{+++q{}5-t9sme%fYQ=xKD9LCI;TOi>Etb
z#V9x(2|O63Wp{VC(|4xlhXJcikVE+UnJq0W;4<^$=T9ZN;{Ph8BYF?kKTN}s4V>)R
zRRS6S?RgnWAL-*yN$vMqu6jnvx@RBW`3j8$?5WXh7a(H7CWMh9u!3<_GEG@V%V*=R
zm^unGtIRYmo6g(XdLr(?RaJdePk&VR7EQ}BooOglAjvwj4gG`oLsypp>~2Ipk3K)p
zCtzwg6V9D$MfUn=kTs6#?VZ-qgP$zz=NBjlNczV;TioWDl43sVZf9eA*$qNr3X(72
ze816|%6RnXO-F|(T4=!CJW{e&+g%P$Se^8X;w4umsuo@L``0f_@%fsrSLiZP2wu^?
z_p1#wGxqdLxC;fZkp5Qx`Z_BtZa#SxU$$H^3!x~s%T53;kS-LM5mK_emnZPym??#{
zR<;(<55IxU*!Z{9?3@pj)Y)JIkfAbJ@gf_``oB(o1S!)e$uf4S`GMROtW6TB?!chH
zEUC;-!qlm?Caw0_SGOwEkmy~3Ca6_T`JTC#&3)I|nQ!c7nCPJ-w4_`<%1<iTGOdf#
z4}Nl{{3RJOovcqzw*5it5xdGU$~&!A<Kr|g#Y^&(Q#f?y?6~%*p`F%UF2=IF>*!gC
zH$I#@Lbd7PSM%eKOz7fs4rNwdzqEny1On1aLn|vS?#yiM>i<TWch8=_1I(X?6f+i8
z=AA<?5-Aqx@IHU-k#gGeMskkfN}oLpi=#{;*sfMrYIl6U93|1#T~W&S_b;sxobGwG
zBjZe~vMjUs8@4P4;>V=Jbc}92cjrXab%zS+Lrj{7TqOf~7}j=B;27zRywhbOnd;IX
zRMrG3&h3BiWV4Tg36dJnQ<i>f*D3vbG2`RFnKl*GEZ6=0Tid1H)-z5$TKOXKmoWGc
zl{8QGxt5RLUoqFanU!d^94NSJs(DSGvL;Dd*QhyOB}U|F?-_Oq9cY;088|&I!$Y|)
z{u?F(WmV^GGepx&pMC3?7nHVi9`=$vN53>oxvx8@b$WbPAM<x{RF81957n>>6{ft;
zXP<J9uV4rN?H1`rJW{1OS=3b&yy@^hpn>U6YcsiRer~ZZ+cik}D?YpM1=qhl+G=(6
zf=tU3P5yug9$HG>Z(fZ{PkMgNv83NMJ|!ya!(`OSk7);#DbI_fwl1gP`XGzxB^A>n
z`A5{vcGE{{i{uyOdc>*Rp{%<GNiN@YboQ|iE<bVPv&=g=nc{rfKP8LpSt7f|@&0`^
zVh8N|eYqSdcgap4M4h}c*^d0ND0ihv=laKL{iAYAAx#gZpRmSX51{a1dwg&`te^Kh
z@=kf;_^9*LzO&)A{aPD8xF{LEvFE0I8N2oPJCSyoHf=f^N(HXx+qS1lU7;IVF=}H=
zczaR&-x`f<pxUIOZKNk&GUuq<HtC-9GAlMB_wOJR5-Avg$~3%s5L~qR;A>)VV1>e3
zHtE(!<62Jk-t~8o5f5E8s%GDl;SC!XylA+vCjC!1coyXLwJtVCY2F&2F()gZ?6k;m
zZFbHs)+*dO_Gp_@vii&HQUNxNy%DoV9Ua9ILilqckpcNJz<}U&l!1`PhUiX>GKL%E
zBQyX}hi2RWGVV!Txe{?=7qVqsP|LCc8ist^OZSruHqsWmV=N^O1A<4ox;JW6jB%wu
z<<`f6k{L%V>%YDLS-TSK+1|Fk`?j9#=B?+>;g>&dpBevD{LG)*P+KhaGRBepS<&wJ
zDt@KwTUNx(&gMBt{G(MWh7LnFq0BqKvAp1TvbtwL&n!M_yy#^6c_X8w5(PUChk_md
zlG(2H*xPGD%VGmQ^xt~l=i@{2T=(XGpw`ECy06sL*>9#F7QOI(KXJm|>fRx7RQAI_
zpB-~0<J6)|xnxW_>-KWBb@}^#aF2#8m(mZ06hHlyspX#6`tj^BRt5&38WW%a^!ApI
z9kxENr^h})+Xp32U*9Dlzkq_%Gc)Jm%?flDNbxh+1f`z+{>uw=0M8G7>3BRy_fR7@
zMpTHdzwro@q8R${lZgpy0yl=^siR|#=1M3SRJ2@Ft3)@Ga)9G8I}9{dtF)YT99Rf4
zI`A}pGPx!=x94VIhiXNcgZp3b_Ot@kCO(#no}H0l(gHks??!ihWSsi6RKM0&WMxh2
z4|lrn)@t%=s~+8NJ4XrP4TW630WB4cd{0|FnIr>Dn*<XkUmnU*{wdgR{k^buS<+nR
z!xnDJ23A$>Dc_lSP+3NFeun=plMt22>hQ0DriM9}^U`_wIj>h0pPi4O{ATVY<(?yl
zERBaG%|l+!tX|_EkaMiCI!-ILpnJ&mW2Nr9nsw{^k}l@w9O9x}L=VHz6>7Pf+9oUE
zM;#uw;;j2@=bZK@X`hRzBiB2hru@x}^*TM}$D}PzJ3qZOC}<g+cQQP?aHi9ZO(vWw
zFVQ`sfrhfZ4}%S#s~x&O+Unhqu&tDnK!3ntHW|aXxT*Sm+hraHteJCczQ2l<;yLJ}
zkBG!p6E0Qcq@7=J#Nq}qCnJo3jC5f+Im+hoV~OwTJp3kEPp(-0aS*Bb8<)`95cJQM
zmmCeZd0;wdq~hW_EvefPkm9MBvsj_qNmC!6XnA7?1+60)_4sb~G^yOdaX;-DeY4Ti
zUtQ0nFB<C$o-97O#Q8h)Z&;M$ot~DmRM~9y_(=1$_Ss3B>N}0cb2R9lJkc;!`m`<B
z(fz?}A0_D9p~um?e`6H8J;&Wbw!E3;HooDiCc#kd__r31O&jPd8nzmBbH<0ipdFc{
zoVx}aa1@F~#nx%RJkp%)Jjx<8Y^wFrrKWq&I<JLGzIb5aCORLYDbL{iTEXeVH=Vz8
zrwRS48)7)N{Zr8A)RzxTcyjRAOf{J=O8LuVN6Uw%#W?Q@)X#RiNL;;-Bo(b}R6s{}
zV{m6{OjX~!cAwrY-WwesGrW(ayVhF&=x`dSr*QUtG!yCMLM`5Glg<iv@6VVUI%9Ul
zDST-x<FkUV;ngetFJA;#-d!)jpO!D3HRNJW3BQLeZ%}j8m`==A35`aZ9;}sR<gevr
zH?)^Gae3_V$dhvW45;)*e68+#ql5C+@CLK^)9i0d*5<DBt4FQBY%4PrY|G1PU@&pv
zy*lt-U?vmULymvBu3f?9M-DVxSIoB5(4nCWIK&W-HQ;SCjaiB%N4`LSltWA&>pq(!
zZH3lTE%EPyO{XXyrnZ4r*6vhEOQH6luVdVy&Cl1i)2ygAt^J#kSaN3a?Opc|YJV)e
zmLvU5I&Z_OZ7*`RDMi%<x!2i#>2%KHTnrv^CH@+bZ(RRj|7oC8DBUCD)w8(cC+d4|
z?M(O!Zr>1^HP~9CYtl?tAoA5@yeB&8M^J?87=1!j@<Wq!rx>jgk4TBq99r7HP-^aW
zJZaBQDm5&87HSXT9Lbgw9{z(FXWBZyAIo<A+GO9!5h!}EgeQ&i*UkKx-R$_#$I)F^
z&wGrmHzTIklKsroi?(!&6rrk#cUNMz>b!K2>^!xRn`i%6MuPWXp>QlEH<V`2ExX<|
z!e?qKSoPX@T1DYkj!Af0boGf_gUiL-JP|pvPuaJX3>!}#%;8oPqwKO=QN)eth9TFX
zSE~K2TFGjnf-E}^=eRCj-6%3DeK^GOOJasp>;uh&Jv-l0u5K8)N85J6<Kk(KuV%P9
zkL8V<PWf-|jXrC>iY=tgtXshlx1)m7T9{SRwz;`WI<6?Vch^yejij;&wNKmmR=&un
zU}3H@>M7r-;xb^`cFD?<9%98c>1?IlC&Y6)m)wtfd9QvG)OOHqX!cKSje@8XcVU2}
z`_j+ht$U6?E?705TqCKsDd6pb2qR@5$I&38*;>-|UX?k|Cz08-KWIAmdBgT|A}khH
zq+TZ_+Ed4D-EP5UcBo4(GMKVcd#D-R>=aF%wWRKrUsf|uadnWPTU+ILH*{R<QS9Jl
z8^frQ@e(G}Ap3@c;^FMgZ-?fB6Y_U@nq>!umDSXChfNTF#V5ynNpA!V|0Rsk8S&nS
zvE^{JmkdskFznu^oBv!}MN%}jIi<ZbW%aSe<eV=@#Z1$J4@og@3i7ROe0kTUYvVNi
z?`DwPiwX*$Re!oVN1B)JArE+CsQYfTB$R1T`IdEc=~*UCG8<H#=C(c}e=P0NtE4cK
zURBZTZPu|}2i=|=EHdH<DX=Kj7w42r`%&DIXu--e19IAE;^=!;JR@<wi^tO!M#`lX
zI3*wV5r4Wt=Vb)-6%cUgm<7;!&A7dxU3rwNM(<$o@drA((ibk*rJF~K`|Qi%sS4#t
z@6R5Hz9uT;kY17KtlK(wtj?JEVE+!YIx_L6NCDSGrVVIwhJtb~54+diW!}Fh#kFXt
z!F<lLt9Q1jvi0Ig`5bA7z@jX+)Qd}zRV*x-i<!DL9tZOD_-H6lEV#iMvK%2F`au*b
z?|yMOwn+=eh+$)kZP$@XwR^DyKDMpXh52+x!nwybv?&F%=QXUqdvtUNn)^wKzU!(?
zS~njwU1Q(jO9aWX@-C3vK)Uh^wePP0HKM+|*CzvCcNt!4__`QE?BM7)4uS#r^f<)V
zT+4G<?7Z};A)_ueib*nCF;3gpnq4+LPQqnpzoGe%Z=qPYu5f*Hm0z^s>Q~({U+%wH
z7}4_1yJoe6RMvj*xMdVmQU9dbgfgj&3UhtjU?fMw1=YK9PshW&yX8QN(Qx`bI|oq>
zI-d8zvMYsT8Srqvt--@OF$po_7;aH3p*-7<_m$O0==d}~YTv2jO0k)p*Pb!8Zof=7
zX2`jTJ=|9GSH1}k@&}*xBn}}z1~SvT&yMS56G<eq&x>22HCh4D0SG(9LY3f+gFd)_
zzb#-OG{y8m9YkF^oA>rBn9N{!6n0PmTO$9PTb;kT-~vp#qY@gK<dd{!8t=Y)@UfPj
zE^Ue3|3J7{gVCt>Ny&kG!c)iJ2v|AGWpky>GC#fbG4W+;YTC<(KZ*-B^jr{>P;zt&
zjQvX6Um5Ww>~8s?7y-Vzt7OpyB_yEXRXR-<BZI029Tv&lVbgB1zt{FZKD&1-*JE@L
zlanbedyfsZg(*JF$?CxNtgLb;IkV}K)UU2^)C$@j+8c5Em#eN4O`Ayc@4*Ht%$4~w
z1(zOEizQk#oQj7+pi)&naRTlStxz=Sf_ev38$1vl*DSyhMsN`-?2wa_8+337P4nfO
zms`Z@lxuQ#hR12|n~K<QAX$1g%0n6RI{I9RE4t-=1IfD(&-x&yhnts|#IC0$<~RPf
ztTOYXH(`m;XO?=ih55m7t;u&sbZ1XHi{ReXk;^YZUr409T%Km9kgLBgdK{#^wCT(B
zGsl*HPBnIZpWkILUtDfa<#JZ5M1EEwn3|)ED&vrEYZ}NUKw@AG0w0&g*s|;T%#T}!
z99YjR%yG$u7sdvf`oA=OS$&gyx85m>X(lei&qDWLY{9s>n}_D1EB6fD6%NS8cE;->
z^=<Y%7`YV@sYv?k)90=<BuVg7e!vA|Xkg$1Q~;1YIXODg!NfN>m;<u!$}pZ^UR%5s
z(I$XM<2X%$^Elz5Z{v$5ASe2f=uHs<s1{v(Gx#aC10RM=T1QV$knt9<Gnm&9^2ab9
zC3$$=`GtZz;f`oBriV|(tNGBUZxx?3)}=Ha+u}x62I=6h=$pPIEuU@)VAN6Wu&k`C
zh@>2Lur<!^#q&{(+|eo;(V@Wh(euki{pH@>8LLHhEY$LDb!9y>;_Sh~<tJ?OG-=g0
z$0aRWH=RFMS)c8&aT9udb#Wi#hKhYDmz%Vj*rS<DtDsW3Dt+R>AAzOPA>A0I;UB+%
z<)Tg6K9j2jOFc{yBt$OO-^bUCB%j@jo(b?=KXPJ;5rw@0DoOpYr>AF!46_+lE>M|_
z<p6;+Gxd+Gr4xX5ADJ7UZ(}{xAPLWV6~3G?PSK3c_cttDX*=4`;i<-?(Vp_vbIj2y
zF7QSIQ4<qSETFA}8(MnAMsGl@SeT1|%vxoME-;9JusupaKl#yp?x!!isN=i0kNU{z
zU3&2f5(s}6E7hjfrlSJUac3fZstfv@Qryp_g~(r;^qSK7y!0adGqWHA&1bO}VzyV#
zT{I5wdcP2mByQ#-Cc3DX_PEd?oL`^Q`<>bQ*e6uIq}or-D^j`ZA54u(k7^ux`Glw@
zH{ExJyGrhqLfy6b0RXz?!=Z8)6apLT6A$lv?m$)l^q$x<$JX_03_JD8i0?e|q5fHG
zK=-p9mp?^9^;?1|2I3Md&=-SDD&stck%Qn(xq#Jm?HZMW_G*5#lPu<m__s&ni64wV
z-uJ<e?FTeEa!w<s&oo}V&IzqXBYL>#{6T692Z~HR8BhtGccE5o31rxz)UkAb9O#@M
zLk;=sqPdB`cm#3WRRvHTi{CR6S#z)`@RyMMzV6P0ZW4NZ!D$5}v!BvCh1f@(&EoSH
zyhK9eNIqOOt-eO*86O5g0=kF>c!qjvXJ;qa#(byZ(|=9EG$Zpu!KIRAZIDt9+V`Oy
zfWAH$-#YbEgs}gqOhuE>(wP4u%F`0|xkP8nK{>$<a(j#ZBjY}EMr(>pU#K!vQsZcm
z8Re-+$1QHT&AHoBbd{;T`bh-v<;uXZm5Pm{M^?nr82w*ZSU0jg`(1TJg~EcevxKvW
z)2G)^U!LCQnSxpA1YK+&`vb{+jARTy%FO>+YZM~)q-b+{x>kG{){+dQ%HW4T8Oq{s
zfGIJEuW-r^R!^m0zy1xq%f{;L9s0H(m44rLTt4mN{-bDdWytigfY|x)2LlI6`2<$y
z8MyNPB92M_3qoH@Jf*mJ#l>gg*O2W^;^5$zeUDv!`FGOwCJXd^H1{^6heKg~+y6&t
zEm^&eqO_(qI%-uvpE0g-UUp2MJFMZQ$_CZO(nC{O+lGP<n8n9z-;*lgc`@?*isITa
zuB9EB!e+bo4tcMq$qAkvvD!pxs4#p?dTu|{ceHQ>R#?~cOplE~2nT&SL{WGsAkLsy
zO>ky@3zuo<erI0ztICEb6<R?W>T3X2_wUaFZEpaUfD7oUA9VR<K1C{Lan$hUiB2pC
znwB_oz?8kqZr&zoYwHFPDU!32N1*3t$8H+i$7JzRB6&NBuI}uOMAq~SRbEDdFN1D|
z(ETjkd?Bol-Mh^})x~L91g@?gnM$eUqizp+^q_%YNt#U^?%CgBdBrTMx><4Xd0b!o
zfxsNs_V^l2mqJwL4+26WdB?2%z9M7E-`tVSVikT)%;IT^NrU_*QcP4miIOjD{@l9q
z@;P_7NkoP*0tJ!=BoEz)z&M^wOeo%J=*Shr&$(XqhYHBC2p|(%*`#C82-~#refySD
z)(^$&iWVR8g{b{dP^g_^Mm4Ilf1TFP$X407h~W2IKZG!l9yY(~pHy1OaotIh>>C_B
zda)sRRx9~5%Z1_TTm13xI?G5;Cx!)p<#@`o5q=opM`Fagv(zdd%IDlT-jr{m`h<Rq
zY+-hccF;5*UEue%jNVH%+Ai_KA;rp^oGk8>htJ(I`ffnZ*{mNp#5>=9@}rDhdwPCK
zN#cSCJS{PvTW_`O1!c#K5+jQT(`Tt>)i*uEskFEH+2<Tfu;E4oF^tco*dJ&-e9Q^@
zq+cj{2(=Gne&VG136%nf#jP2-A4Fv-5b&SXKP0b?XN}l+Y;|?yuSlYIe%wl1=KDOZ
zcH;qAQtpwsQxg?W$Xx@hMyzE=2&HRNQ+VdtUH7ZM)EEtqkDt7VGl(BEP{+G4b}?rt
zI^^cf1>6E~TA`#u8{=s=n%v}zEIPt$I#SSet-JK)?vUwLN%`0Z-4lEo9$ghKnM0Xk
z@d>dJCF2{8kAFI#^C|OvdPu<a1VWZ6O#^a-#V1~}GIZ8x(Y2jzh7xzN56rQ`sV6BZ
zY?q^@-a*ejKi&GxGfUs4Zmsun`6^(ZllHItir#*@J&%mzYmrqgfd<<<&{XTRvVLNx
z&8mtlr9(K`kr&idIae`tfs;UOpGTwV2~dPw$!1$T1LoH#^DFSVk@>2&h}rcVj<LN8
zb;r@8E9Np^5RB1pnwxZnGd&KgyFw?^2az>FvBl@7cx-t|;tBTq?0fJBRQ;(lHWfBp
zS3t5iqdgNMSo2#pHg@?}kT}crL_L*Yzn?26PX(6gy(gaEdeoxqrl6f^GAe#`;Amh<
zy4e-QdCSj<L>1$B{vtbu$KAXMYd&y1;CXo}TGRv*6{4#KLKB8-U_W8WpL%fcCA7RC
zMzLin2{03GP9P?yW@T{-8<c^J{1w()U}b^nK0Gw!0=G?gm!odb@x&}}!dRIYNdu1T
zT6&fSB)RChK=TFj-)~<_6BxLe)?;yJ32`zqeuCogE7*>x4?yMs|7&&>8Y_%cT3zs3
zvd0eHg%9T2ttKy9d+5emN7_WQWps<HyIGM$_-_rmWJo`gw0=1mk*=yMCwEos#|f*1
zK?l#xJLXrd_X#redC{-nLEj@Ck6b8Bc@`#Rt*xy<8}YK-+Vg{T?gC-2K#0fDifU<Y
zwosF4#nHd=yL819&2DGcL<#U52#El4R-LKEg$0auX*fRGtOfUDEGFpEJm$V?@WC4e
zZCp`W#<=Z;4Xf`9jLX(LWJs$;#)xU(DkPozmFWFLCG*&5nzqZqJljo59-BzP55sdS
z40Bw!vkh;)tTkSlvdQ`jC{H%s#Rc#*g0N)`H8l-2)!%q(3|lF*&@m#+Q2o|<0eLu4
zpm@NbEfHv>kUxS@Sd3|H$XVq)MlLdrApA;$(T@BZc06Bj?*Y{^&>%;Q_xfIi9EdPE
z`m$2r{UG4@8FmlOLvkm7)<_qX-LX2st0KJitoUKZNA!<)_lEfm27iosrKo??-H6Hg
zn!Yb}@sYb92C1aJ9WicvxXt+1PT`7k_Y`~WX{#BIDEUVl`+xC>jGw%+^0aMqRviq5
z=9jZSf7B$YIya|kG|R~?r8$npO?mG(4(I&SvktRhqonOG!CZq%;VaKkX_gXUA!HqJ
z+6GZFzj14$3ivDa!~1scZg`v<%98$ETUTD=eT~~Ewf@WGO<yl0J~|YVbBT)H!tdPO
zZq53EZ7;U@)Ck?ZDsTNI@O43f_V#Tlkc<jT3-<N>_yuMRL;w%eQW~8bkA2te0alKK
z1#mKY=2|9W<@DZLZf1Sl<IYtx9n*ds-sNUyDVe2}=x#zQr;YwD^p>+7bOtA#5(7->
zS&M{>Q)XQJL-Om6CA&7eMy<1Ak=SQv>c#!~QQz3vEU#~JspnIP@v---x3XwzGJYR3
zmw3kM`ewDVeS+yW`!%ab0=G$<*x%o2>NRS;p}~?*Ww^hao|AmymTJU{VS^C92^l3L
z{cSh%cO5F9)qg(S`{d)UPtj-2pRKgG@4j_=z=RfiMueG#-iLv8KKCwV%yPWQ%S~Rb
ztWE7^u3&2F94-C8V6R4gQ&g-{lA*u&vt1XfwuY1T=vAMSm{~>h$Yde(?%VyTe#P%*
z^cfO2bC9ffLWfKAZP5;3cr)q*lQ%Y<J(vu$ievj}IhO}-gjq#w_H<fY*zn!=rjUfT
zlGk3oubGMDr?zFSx11Db^sm#Xy>BGj=878e8An%U47^u;p0<XSLs?tAn~IbkNZQnO
zlupO~MwMHCWUfZ^fr&Rfmz2HNGt2*9ti5+UmVe(rej+236`D9R${r<UCuN0-QdTOI
zWR(>%ib%ssR#HYnsO&u(qG2V;9$DEt<M%xJ-1qgk?)&$<f8WRV`}lfXe_Wq9InLvJ
zAMf|;^?W_Yc6sZiG}`cSd6iYBdi?^vV@X}n%Om@oc0>=djUQy568iA|%A)s<t5(X4
zUc427{BI6mYc*Scl-FPNjLY!;{=IRI+NuY9`M4u4mzo?(suQ_(oF`+1+RtB&mP=S^
zy^l22t?sve-<isV6hDd4uSynzJz4dYGRU0H?%v7ztuNzQ6b-4*?<><XRd6-F>>IIK
z#CuU|LDn{}?YA=n8G?_WodHE#4xIOL-$Ps5RruC}B|*9}W|2fu?n_BkpfMDCu8)Gp
zf~6}YcwKa7cn5z*;=KE^`<e`WrohkPC)*{fYQu(f#P3rwzquJ(X;V?@?{~~C#%=DI
z9UV2*f<Im9k#dFKq|hVRJ)c)>Cp{$>emzu@|K`-hUb`iIH7n|#olZ|WB`$xveLRbj
zf!Fd%)WG~DPP$MDX+ypKP}S$vTE+_nq1;6ogI{_nl{7!<nr|my!*at*K5A1hw(XO*
z9G`d9VmQOP=P+%2QPVP)0YgEhQ8m^5i92db6Zy6ajKdX~PnTQoroH7NonTh@MZxoy
zrR!PfFi)&{SPD7z7uAp~UjU8Ecb&4ufJznpOy->fmnM7;E^Od55Mg?3t^jfU33`P*
z3eqcXO8M-IWy<X8Et&&|nL30rlAAuIaf%LV)^4!#j8K;}()dNawHrh06Bo1PX{1SJ
z?CV@#gnU@nCHq_dK=ZY9HHIq5m`<t~YfrhtT$@qta4mgW&kanU@~kfzC)Lw2m0ztq
z^i=1-0T`ej6c}&mP!FaFj;5P<buZuTRPC{d`JDnrSdX#C<1MrIIWGop=Q3uy^IX8n
zGh$G-P!TyBFNOC9wsrMTk_H1wLHUArzG_m2>+2X7XjRc%G?_Lpj{S8j?qtWp%SF+#
zJL^`<bEEgZ^^c>Cny=v$=cnNE-oB)6q%!P?NF^t_iGU!DcZV5R?0SoD50#j8S8Ztd
z&87mYu>xbUPhWzDb1j;!<d@%hHYaP%w$pcCx<E@xj}+yLNtGg*U0vrocv#VaT9+YH
zBJyqVq+-UfVDj>3d+m4k^}f@IdlgT9>+YO89d%6q!D+9dc<)WU{qH;O8gw-%*GW=S
z@JO=+QIzZ83T~Zxrgiwh*5~uCRW^0AcRP3RN>^GR{#Y(xWq+#PmCK>0#B8`jT{3ev
zxSN7c%{XNLz(=>4@49|Pq)Oc@LffTDiCau4zDG@^6!!{!)4!0V5!kt-clF)2ooAdH
za~Dn81t#fjg<6V_l9W~VmT4{J$b4MeY;urvERe&s`e4|;?sYMpNiR~|H20Z=rQY`A
z6!FM+INii1wx+Uo<6RTiYCj*nt(Qhl#RebR+MT2MV=oa^!xPTZb&j5X+&3sH_yR{y
zTatlyOK*dBU`X5E;!n@8f*VS&?d5a#KPz**r7Ld1Z1!(6z|+j!6{0USDb?{O>7=i6
znrdlRZ=g(-aK10gET3;&L*&Jyo|W<`du?>x>jZ9Kg(+7lb~oJbca)+fh4GYENj=P-
z`S`v)*f?43NlSu{Vbzu<Y@K4KUpV#${MwZ<B5-!5DyaT~lBvTEKgM`P(zby8S7WwJ
z<+ci>QIXtv%HO{qpLdskf@x%eaQqhJSkC_myQaFMQ+9WmO7E-oGj^t#9$^7wiQ?b@
zW7;Ft#=DFs#wcs#Cp)?%t!63T7DqqjGobx;=S=i6KkEvO)Wq+tKdx7`N!B_Dnl>&M
zn`X{DO-SGsy<e}<Jn?5mB>?32@*36R#A}h+Wr9l~L9x43ALSNlO*js@<+2INFWTM0
zmBfA7r7-7KB73rY*v^i>u&8Ku_3+r}=q8nQrsAZJEM2{rG@~ZFm*Mv=)LwN+hWof)
zm_m!@nz*OS(P{vm85=f@t(>>u_iuD=SBx@z%l?^xL-8kb(%xp7cmBR@5A1d@ZjZf;
z*EtB<=0D0@R1%)Hy(!%gGEz>rSg=Al{vy)aP)o=otLdbgnt%PtSMp_@b`52roJrOv
zjzXbu>hMaM^0QL6TfPtMeyGy7EUOCs=;bUn9WN_k3UBT!$^G6k{=-+WvqSdlEN3gW
zSxWh*^c0GU8~u5A?Meo5=ZJyo9(2=+ahXq_Dv$3F96cQ2IUN$v{x;!8IcJ%i0JCF)
z&9)rP`tb}VPwcS%zuFK)ZSb{&jr*vWdCQ%$5s!}<0=um?2RSS7n+k314nNBlqI98R
zeD}8HBN#WiI618+qYQ0m3|qS2x(_t~VxK)dOB;vw7K)u}{`$3RdJ&#gaQe8Pp~bh=
z=@()q{Qr4VXJ+dTO|vDL2bpH(AqAeU+ff$$t+m<5Z=%0<een^%U6+-Ub6PoUi$Fvb
zbMs(T@BI2k)|z0m==-f~av_z{ERtU@8%dgcIY+nWaf8`mFD}l7<E7!t$}aRR1n6FO
zYs6F{HdwN)hu*;9{=7i?7P@!!mWoVv{0}1S_RM>ks1I$i_)ji?hvZH}tU)0ud)Bce
znP<U`+iZ+)t^1Y4bi|nUgkE(;$4$we=-mBrq^GooUC-p$wck(LvOa!vGEZOl=drSH
zLy`PxihJEvPqC{#^I&s-yp#0GKhnU6#A8uU$<$6AUCle7yGV1b<ibhy@c7?4-RVCX
zvdxF1JK0ajBt71HCYo#4o*#R!OwN60;`*lO##>CISNe9;;7j#Y5)vUl&HS)CO+jK_
z=c=06UENz@F<hA0)s+0IE?B50**3+)?|vWs#WQzvBV6-Ns3dEVS&~l}ycW-DcVZ$*
zUE<!yWXeEFxh*zB7rrntWOzr0Hk!PSW;po6x~o&dgDaGRWjBN8ViQ=}(vte8lyF$6
zc;3_saAjpxvgaS)z0^P@QJvg+*u1_kOvk<J{opWZvS9X`(T<J&Ro!S~RjSz&FEVZ4
z&z$aic6BPEK^EeXySX}$S^z=tT561YuvHq4+b!MpA9T5qDz*xLyC8V!L02OuSM>7b
zD9Fppe>&H=Y#`S6DuXH<gC?;E0yT#6L>^FC55J3}qli)ND02TSfh5D?!oguOuWaS_
zuQ;!c-pLR89juppbdR6l2(^0tEtkbq(e3b0gPRA0ELVCjdm5DL6k7}U>m2&3cE!_R
zcVF|J{mxI1m$b4S5W}2-uMOI6h))#GR|mMt7#BIG&zPZcgCHhwKihB6#bFAb@Twfy
zConq#ja;7&@mZ&Vze5QQ*vJ;DZzyi^djf?k8Ola7isZR;Axniz0_5H334Xwwu?(zV
zG=e8hrU)l^6hZh84Pls9_Y;6J2+L4gfzZ6R@LmaCQiAe3*>;xqb`I7TrX|)*6pO|^
zt!vcgG42^suvA;h7t8#bDAFxYk|-OVxeIT-%+lSJE|*A_z4rT69xbe__8IUhD725v
zeukXud6Ggrlr*vO*Bkn;CM74wLFxg?8<C<_X#n3HVR3Q7D9<14T11j@4-n4n;Pl~X
zMO&@4z8LQDc=rIs2`n9!0E1TxD1~8s?FJYJLPNArFznTb<<qrm(@;!#t^MhQ9pn(0
zx!{KD8%!ag8QM<-tY)G6#XUBm>z-bOx@n<`dvyXR0p?V$AOrTu8a!9wT+-j9UM9Ki
zUD%1(e8HEIb(e*rJ3qbS%Y2YAU1+trpjR{ynb?oMW|l}U{CblykS4DAi=Hl&N4`YO
z=tUk(^btsaBtUzJX&r3xL0lzQBivPBwjAz2PSwo-8B0O^gyAp(pbGH+q^R*>I-&<v
z34l_F=EoN>g#eBcBLIx%t%4{Z5Q6*3c65e&zR1I`f!FuLmoH~?F2f<`jGkU20EUwh
z%O8a^>BwBL0T3)<AmhG4UbfWBy>^;zvJ4%s=9dsbmM%S$`3+w5^7~R3+Zo+uVj^2M
zZOScYQw4`3o1d*IEUx>{%n)x*pwiM{!p9;KROnaQa<%Cs;ot+|FCE!=?B^K+g9vqP
z@GO0qA)X?OE~0aVX&$FaF~DgbKdzu(7=du8EMoy}RJ77bo_^v!#-c)4WDjd{sN}cX
zl2vih>Kn?Y!g0Bv@i%cNuK((%*#F@k4Y$KN^<zyJyqEI%p470}c`}W4j5`-4eF?xJ
z5K(K9T>f%GabjI3>(s@gVQuxzCA)vFXKJ33$rV16zWDh{iS^BViQ8L9{O6B2`d5YY
zmCoSdH!8T=59J?p+0W(1@(<Mrz`rQI?KfPax5(HUqeH}~5I4REjv#R>qZd=tCWE||
z57Du_4ll(NQ6+%LJno%@M;$#GzCQ_Yt0Y&?ww&dDGX>hMA2WtXi;zP>=fA_QMkT;H
zqu_aJ>M)Wcmx9(7g1W-jW|EcGll2)n%!Jl0G_gvqEPY&yJGL*{q`3Rc+a-tl^2zaa
z6RhTA`+{U5XlUOCynW~NT6tB+mH+jD^#*K-(<!o5!rM6%D|ke+3S!0bNfav&wLyoa
zCb{nx5^^J4SFZPk06W4`7Yx2&p?>2tplKZ|^+lKoh{4Ytc}jQIEmT&jkX12cThPNS
zB!#)Mck(gJlmSSo1mL4%AV1bgepr5M!}k5h-0YVZ90beXpM1l79^zDN4mXfe2W(3k
z-f&n`7^_@?LkZ~HBBG)QkoFnAu$PKb-Zx;+W?^0H=)C4_Z3}TcpOXE87FARkGd}XB
z{f>Eh;R$_P90h5>@!iSbM{{;E2ZV}uQ<d|DcG9hd#Vz;2pfn{T1LmLocy9X*2ssDL
zTts|>Wxr@KaflisTZVgwqK7MN&4!10a<0foOCylW{b#<{4K=5tcBtZlxn%aOPB*@M
z_Us_taee(wQx0&;#GX=DH{&Yr6W%LyhE5VHbZkF_l{)MM*4~PHl11x2e2By@1i)9s
zWYa6LF&|xWs$3kc;Th@l2NaIK4+a;kjZ~~L2913DWgx?}7_iO5Q@>cDr|==OUAJMl
z2AcwjZa|B+)a-+VlO`gkF#GIP2>|gpHz%hiQ$)IqkoKMZ^P?q^A6`Vu12ScT@k|!U
z)!1y3Ce{+TR|cWCZ>Yp>4lDGOSYr<dmqO<Fk`nApj<UQQpw6=wUp3~}TAj-)gT!uW
zWfcr8Ku7(3eU2_JYu!v<uD^3y^tqpEfFUW(SjMI(=HsltczyiPBR)^>5Y5e;FHS5h
zo#1yG-ayVe>vYBbAT8-c1rE<Ud%LXJTfz-)F|3o=g97gdqY{8W93W5NJuFkUNQ^%?
zY@~zUXPv8}VQE?xgL~b(xYe0t$bB7J-&iz6P6%DWwu|i<>%XA;_BOY<(KE-6*~6kd
z?u!c$^$Zx<(}l#viKj=!#)`%V?P{s7C;QT6+@1>cV_us*yEgmv5EEd;F>nGN8QHR^
z;IM!Y@h6}m{BIujkPBIIPPCV3vdfbL*Y!SfYK#v3u+@g7)bB3n>2j~oWY-%#lcXEJ
zUd$wTgyjp_jTYNFgdgFR_uj<PP^WW2?rAict@5I|xrlN8F}lenJzb52(!<$U&e(9E
z%R-6R)elVYk>&Y_BgqCAA+W$zn_>bGZeZGq)NUgqIfU+DTBu1?%Rm+@=wlr^c>H(>
zbNuVqlFP<9xw&rgPs(K{A9;Y-kH?RJy!y*)RZVkTh0ebUxoHnO@u8^%K%pz2Usi${
zdK{}`^s`Ta_b1!}B0DVRgynu;|JgnoUdBB6{8ZGQM+<U7i4%YEB&YhrocyOnNQrMQ
zU60u=7L-Bp>ONejU;&i_uy3(B({mQVAF@5NCw5&Adfy0$_L4B+3F5Q^?}<a?G_%w(
zm^moy^4%>cIMk9Em(3@UKm@sp6^*{>3Ww2}paNYKt<Jd`*!(ynq~^$xciJ-Tn@-3G
zekp1n!wvEa^0Z^mE<dC&y_Zuhp>R=QK<|0Ho`PumE#=#Rz43sPSk1fkd$723d@UoT
zzP(~1lelQoW51sRUShtk*eobz{Aux2{lsL_mzh{G8j;X3(32rjLf&Y)&D%tsKWqX=
z=|l=pr@%`nvEA?G^1E$zbmXP^@l5mVf{9Sb`!Cq?xBJ)~&n|B}%PJMlZ`kW}+4qa=
zeyNO=k7@@O&;2@7?fyAO)??A-;bJEvqX<ZjtmJFEihYJm;3FAH!1CCoy?XBKs*E#%
zF>%WXywy@uQXC45$zSj!QBcu5K5z}P66q6m9@@)eE@g61Im1>TQwl1EJ$v@-IvV*3
z6%%SYPxyZMOb<=EVrnnw8!2TGSQwh*{0E{u6c#_7+iWUE%9e)H8mLlMI^%)PtovK}
zhn&rF_-@;{ukf~7{{+9JaOUrNtF~b4AA2x}dvtW0)bAQ^@=hA3s>UL7NUb;eUx2Y@
zw{H5GtRr*|h#K`xb|L$sqE)<6$b25(QjF7mn?Z1%kOYLgdFsb9tXyuuK_9{Oie#AX
z$+JWzo18dv205YFJmn!hP0=V$O0q!2095i{An4d~QRjNi*|nvX%={jDay3$_vY@%M
zde%AK31nK=Ye|n>y+P(DbAweUK&HF{PFuvk2Bdmi%gQMdNdA&FmGa?X-V%q1$M-tz
zYRwK-OZPo!YA$`|b5J1M>Ih8`G*iL-gyv1>F|!K%jf8*XqG(1aOa<Zf2vdBkceBu!
z2r}Ijr@24xR-)iG6a47jX33orY(>mH7%f0WjisuClG@Vp`Q99Yu#HC&CO2E(WMb0q
zfy51H*9m7`R8~;VbON|9Y#+n)43(|_&-l#ZK9nqkJ@yVcxJVPmOP^|Mi~2&f5dXc$
zDh!{xYH{{C@;cX;yHN@F?H*`Em)HE1ENW>wx<t|^NC|I`ue>|n;`E_J_4|}4MY+n9
zj8LKV>wl_?b#F(-nXge(*`?Cf*}-1~<D9E7#F$XAS}24qi0QRY()Ig_N8i*Q3F0b2
z^#K1VEsBm`(|$o#+@}f4%dUQ4{80+-&M2}mbb$9nQiCNvPl)#dieP8GTUglWjd=}z
z7h(Mm!v_LLM;O5A4--z4kK~bnOjrivyaed~3w{J?kl{>CLH@T?GJeDEpD9B9#!lAl
z&r2N5b^bfru7%RCA$4z9cF{*Q3--qJyXyYWt$E8fP<j~K(HwcEdko}i$K%Dg3>58y
z!>7T^u)cH&g{F&a?0OCh*AIIytN+F(7560qsRPEwFKuclZpRsIiGDl>Yy+fkxZ7p#
z)$8nwbanlfQdQP65^m{#RW`OFOr`e1rX^;W<iy6tF0JfjAg89KB_EAK40qtAf{n_1
zv&(t=FEx~=yKvrM+gI7Ryz%>?#@aItw>-$4w@;dP)jCt}yTg)YMW!Vw@1XQZZG5$8
z64^U&k-y&X?Y$AQKZkmYZJtqKf&koawr=D*|5fz#g1vE37R8?8E#6IhojSYY+9*ig
zQ7m07hq4(t(iOga|8BY9(O$2kWp;J{h^67kx9#4!o92M#k)nCallL~q#@l?2k<HlB
z!oOFL%A3EsxLTRpljMCE1+>A<3$Lt;?g%)dne!Am`kF@hz+$jQB|7|WfOjz)qC5HN
zw{^20v7MLc_!@tLWJW&|=Fb@Az!BNLf#i7DTlctwpMBciN@4C?lbY@k11|tu)xsV7
zwW$=J8V}bo(U#NDO&sG3K49~8IpaM!vD1UELl#gUY3|Tw8j=aFK%Yk;H#>X5qZFhM
zexspw+qiWfnJOO70>C`l%-^9O4o54M6a3|9j+Q_(Sb{MmmOAJ_{@8*ME`WdDY$6_$
z<wkSL)NA~SHPtlXWs;WGI&kWZVceYqZh$LpCaHRRO@ERB6=8VR4I%E3)Ioj;(<In&
zpzFBae9~ZxiJb6j$E}>XgKGrGoX4V7sT{tdVn(@jBeNY>YenI<U|(Qto97N@4#q*J
z;ouAB&`on({u@rOP_Bd9xaQKt9%dd$nHuh8c#nZJ*E8u#vtg?vQa#ia9>XPd;B#zS
zvMzUCTM0Ze6NKsTcSy=t_AyPEX3nF^W>xV(Jgd|G?LPeoq>$<K$YPF9P5t=lBLyjV
z({0AB5tl{3V<IECC|MXyB3Wl$_f~?axa~KGit+XSaI)@(EmEp<$1%G6`qfPN6Y<MQ
z0sf!HeKJ#0Sb*`E&y2S2=}XZPE8u&j1LDpbYZ{WbEgFtp&nV>0Il%={j1w0Xy<e6}
zA`Mm#P?RPm9i|I`*ZEH`(@?DSCr`#^-7sycl38x+T+PLDpXkSqla-|>^o<MP-il{g
z?1SAk_<u>XJ9g~ANbTLJcZJKIUg)vD{Mu8v^Ax))H>ycLub&6kmvxH!B36EUbo6Mx
z#D>+}+c!ksn+%jiJgtp$x8l5Ex?vO7hiQT6ff7p(mkFg?m$%&_du>SyszA`IXGn91
zXNVs&NLlO4ZVqXldeblSg3sf?6>Dp@v&C3{ZwDw$>Gij431Mm+ay;@U!x@_u!5Z?o
zZfl!?aN?ek*n;ol0ij=dCpVi=TTi={m}a&N8lL7d2w_dE7k?99mY!^98+Lu)sNR9G
zvKAkvIq}~GyE|-pfBL1AY5A`B=ouPOtw~MYeY`*AE&pq&P1+N-y>`b6xuRzTc9l~J
zMJ@%|_Mi))yBtGLzTvEXsF8|vB5>-oa9p-@^2v^G;(1u13E$<*F^Q%pqdHsh^isFW
zhKFEEfv({$bd;@_`Bz3@FO@@>&Z}3);+D3S|91Z4Q5vv|Li2BMk|P}%o-m0FM~*!!
zC^UQRCO-OF#s0BbfmK1PDjBg^S}jhuw+*9xm&JPz}#iGS-Fli#2xbyw!S6W#MM
zuT9QRX5HJRyZ$1u3x`jA`ZbN=Is+NWzT$<upIM*&<rnYC?7XD28Nd>}G%=B!ZS&K2
zbt{bjvx&40iw~O3Oy>BaqN38$QqavRbcxWmhFf?beeEK{!uCJ_8es7pi)bXw?l6I9
z*?%7j2o;&wA*`Sf+Zag~vtr4Ari;?T%}ut`f0N$Uz8<fOLP7`JUeo;QhGuy`Q$-Vn
z;;8({e4(}S@bSkXAqTw;cG(L*;^?&5MD1#{+8^5CN!;_~z}H+P_A3j|*k0n8g4LUC
z-k)1cio3<dnLLL<EmH|VjUjbfjHG<%TkP7;7tu1EQ8pir&Yn7+^(oyvN0E)aJ!=F1
zrYF}(>WVREJGFInx#7;p+ygv^f$^x2?}S?k=F==Hi2M5cERx7@es;0cQaWO=E`W+t
zo5UCQ$*9YZ8N=5Dc+aSBQCktQVpe^NYpdgH87V0>H8oKZ=Wf=sV`FuDX2VS~+cn2D
zk(89gBtKCOwi1vC0yzP00zX9;XJ;hR!ad`~)2HQw^pqs;zGty`i3wh!5@3fEc>oyK
zhms<Q7!?4y&@J0}^ln1~@L<0O2>dA;mtW@IFqm7u|9ehRndE&RyC0{DF+edSvj^Ab
zVD2_bDcLa?$fH;x!!R*L;ce3D!TguT|MkvZ{;c{OWqNXXl^ezn`w9`kcyRTdGe6!e
z8_A3|ufr|Pagpc8tDg;7*aQPkRl>_n%PJP0X@`xHGcs(!ZBkkp(nTChcudTQ{eCH_
zK3NCYTp;DA5e8(izWng{GhBt;VXQ!Cdv}?>VeSDsnfc<yAk2?y`-fXHJ5e_wmHwGV
z4afO7-h+X`4emgXQHWl2G$HXE@4J3TRsOf5oUVXCp1;DnA00b3s!cp>*2slPCd|g&
zs{>djZK2CG9I62J2TOXyh;WsD{@(!{^&>>my;@9MuFF3G*^el%QRbjtgUH(xO%+@x
zW7KQDL2gRyv3%7p9?YB=eq^N*Gywm0cqBL$7-JcNY=u6jWoHH)strs{SJ5OwUA>5c
zCq(=j%5V%2Fg$>~9JB0RB6$q<eL>q~P<_}gFHB;?P1VA)G=p+hp6d(11enOJwUn)*
zU7O1&8iO+!eCJQV`FJ=~)Stukw1)k!>o|S+b|w}y<5}Lj7g-u|u{sH<=7*zac%E*f
zbX1X3a<m9F>fEIrJp*`c`#+do=i+CVhj#zM^#-mM07oPUKy9`~q8>TOnt_j>i5n8a
zoTDhg#4Wt|g^OH`WJ)US9;{%{FGaCQ0rG&Ro%kT*&B@h-y^ow6d|g*zd8~d>QAx=Q
zG)2P1AC?gWArJ=1PW(n2MJHZK*xsfM-kF%v{&0D-iQeXc3lT~adRd=DS2mjn^5kr0
z9U?G1Cr&TmCgCo<c2-ucxi&G(=iyC)1DRQ6^k+d9eAh#wVXVELj7{p0*g9D0J%GnQ
z-6VX#UI@4LP8NgTqY}Uk7`S3r>yTpyT1u4wG;_zDazy<}Otm~nw<eV{9&G?PAY*3=
zhuD8WHUYmF0_wBPD@sfx;v-Olf_^{mDvumC^~9|NtnAB-Rky(_6+6#=!fP*fFQUi?
z0g+Y37#2xn-TPb$hI9_-20)@VK3sE3mDBC?q3jtQH8+xX3AM|_#-FwmuWMg*zd1n>
zJ51IUDA^_zZGzx)Ksn1Fc!TQVl)R7x22QD@Ovuug&g;Ko8zx5K@?esEsUEZ$ueq$a
zl#C<i&OKv>#!z561sU=BblsD#@NkmGhUBURyTg2fETPFsc@wyp#48=xa`lR~20~9n
zA_YqDbG?kWu%mHd=1E%a+od#wHHj!+e8d+r;JL`nt>|%@j_mY=Ngin$L5cmt>Q!BT
zVXGCp4R$Dq;GWgc3lAxFewn>{>Hbcv8dMssVH4(9p<;sf>+Mhd!R1Mwb<5J7UfbyX
zV*&}*6eML$I>zlhYZn})A)1c;wPDC44!+)i%NWQUV#eQ*CsX#OY1tDNT3)}c&xSo>
z+`fMTQ;O%z=K%wzj!1x41Vd>Cvgb?!H+*4_8J>pi)A8fvoN@;8Ph06SRm6R(1YAm}
zv$U{C5o-;^44z8P!c{PjHs1Y%5`{8X?{^CCZpNC4EXz+@5xWC%zMbdvwy0*x`9fOM
zy$wo9?!6~l&Y?$(Fm*%9`zQ31Ujb2I$E(G{hg<$I*p|ZS!Ete!@!ygAL{^0kr}`qo
zvVEBk97wtPi-Cg6@?x?*mo`sQ?K&qZ`QVS0e=^iYD|GUlNngWL-eoYree^Yi_vC6l
zT?PL8yEyBC>O&%mLl|`9n}n780gM_6f>5k!EcPLSIRz*UQJWT!jpCBQZUnY2be~<^
zHy@p${w5=ReLi0p6Ekw3eVUVVa_eSP6zmcKJFZm5C$zHEQfz*3#GPS%@#&fV2hXRK
zQ?n~8`WUx-vV|vX3t$-#@;ztM&aN!Als(9Q(4>J8(9CeN@DF<21w9jgOpp)~DRTN1
zk8Ah8<1&F#{{p~aK!2^(B7$1U2`1e`2hW^|Dx^2sNWt~oa(rOkwee52gN#jEi9zy5
z=<W}Q?cFU;b<f>yy``;Z#QyCM;566i+Iyb}o!0f73Y%bu0UMT$7`Ynmpd$B`xa)pR
z!zTld6hvqv!H|1({zUQ$TsmL0Ee8r`;CQ)o`7-<}j;VWl_1>59WybTW8$uogJ;;*7
z&Q0bzul)Vr-oIO)3btKQm`KvQoNHKNng5Z*ub=1w3c&k&Tdv_{rC`kJ%1^2;WP!em
z@(_$Uc-A5Ryzfj|r;=H@H-G>bDIFQUpLwTqWy}Q|9l|>v%eiC}vf`urZ)i&k5Nh>=
zG4K`-r~QcLrr`Rzqkf0--g+sohMj5rVzPq{k3<~0Qf|#%j66G)kbfB=hoxhM_{&C|
zt4-0;*6^wP>7eH7#;JlkgzZ>qu`dkYbw^Y})vqgetw8z4cxfw~Yr*b@9zzjFEukGa
z^G1~p0I}|iND4*x!%Y!HJ3KVNgyJB*zyt<<XGHo9e7i9FfP>dl;v^w4O&1pZYLskw
zrUeF*1oMUki5QF%h%_}=?vQK$Nn#@VMoL?s%C;d8Q?rVj1dvW_DevyHslb@h#NjP_
zLsr9n^fh@n<r+faJ-Tkdl~aWP>WKw1P*(%ovaaqSO*S&s(q6vw!1jJ<j@_Up0>eA#
ztdg~3<^T=>bwkiXDF}^##xZEY`Ma?oPATK>bz1M4w&~tmOfWVUv12S?IRL+)6@Pd;
za~qa`bc->YO;xQ}(G?)Oa5=%WDrZyI4aKtyk#j!$Fgc_%h1*{wkP9?{u?p_Fz^a98
z06W0#mZ8(Yn4f`+cm%i(JrX%{b@1ymoP$J~Hm%Y^1%W6ldYBaR8{r8L&~+6#yZVRo
z;Y%9Q*HhKD6M|Q(<Zpbwui`FOcj)<+#oDv0Z}t`#zLK{7rfxFW58;;hLLBywk9ORI
z_95$wVw!z_zUCui04{`qVS+gWxtz)&U~}zw(a1(}^*e)A1J9i5sN76Ko9xZUQ%<E>
z^L|RM%q3>iD=T+w;Lj_sID6YLcTpT>4C)6NMIu~z-YK^5WsJ>3*M5Ji+-O?8j+M5)
zgAY7MNhdfcxCU};<~t%^x9Yz>6%=fjN=3}`&3Gu~Md~uTzh%6qCcWBQc#g^&2!Moi
zRMAJ9u&XxLct|fR>uwaYT?|jS%XRzO=Q|I|l~@_89HnVVF(?)(Rn8a3vS!9Up!UAq
zlyof3+(1tw#Ohb*oirNKQ|=v&+spow3xGdU#d^k|=Ek22;Ss|vB=7YhcGT^oRn;B_
z_U}mQbQ9i|o1Q~TNoqV%f1CSz;<INJzov1!*f}{HUv40IbKxg;I!LG2MufSN!BeUi
zTgN;~zE!%O#LPy)Rl~;RogQx4zh{}aZ5owvIBcwUNRuuF6wOeO)YsuBm_=Ko_k8-u
z=*BHsCBC-8Q1b$5DC#FQ3wPPa$p_QZO?-{@D9Ub?@~E@kK+eIsvz0MfCF;Dv2PA|M
zb&jKBYWsbSA+BX)_Rq>Yu6kleTc{GIImKf(>^oi~zwPxCt{^qHug%R#_TtWNYnR@R
z&tqX;v((2{(r^oY#IVD@AbjDtXW3c0`sQZ#{ZRoCjvF_u#hl-7!_@gAEM?wPZ&^D&
ztolo;zKV-WUPsvnRD&vXabJ=<#Yjav%in+Mo&28iwt0MBZu`cS2ZJ4Q!Vh0^yeKbm
zIrZ{;zDDv#K3iOgpT6!=rBKiM3E~<K7w-Mm-frV~_@&T<;^^R@M6ST8T{n_dZ@!!p
zOm@h;K<&@{UYVq+GvM8RoT>Xl#FU9(Yo_I)&3i{@tWR#DH17~SlfeFnr<&7C&vE7O
zql}GMZtQdulMeg0qtrz$_4?mQuoAgjD-I}4?5{ByVc#glJvB^Q_!Z5rQ0q_qd4@<e
z=mu;13kT!x-pdF$iLO&CA{c;9V`Jm}j0gOS9;Ha!z>GAx(aO=}Wh%yCg}ag1cE!=8
zC*EPtg*x%|(mNj*CyomH&xt0n%x^RJ6yjlc<DiYT^~mUG(=6vAs!x@GdyJuU%rc%f
zqem=B`)VcIeosnTNjF1sd1X|=)AQp-Pmam*s81US9L?sf;jI$ka|O}07hSD)Fp$da
z7q@9UX1W4B@--q!a9r5Ys#aIg5q2t!PvTei(d{m5Lpw-M!ynpg&hu4dyGE&Wq=j0U
z{uy<Lz{7QhhYYjW#!qq?|L%&X4En@;4-fH!OS)0dQ0rY9ZI|)1Pv)IC9mX5JK5g%3
zDrHt?@Lkf!7+e0(Q1H**%jb=n5fgDm#)q<j)Ruf8qL@eL=SME`gx$KkktBlM**f6*
zEoE2XlECjT8+SXBEka?)620&}$x$k|B6g$Sx$uqMBr{8}_q1AaT^5_0-daX6a=-Sq
z>MS$Sc-_s;`;Lk<>f?Ncq`s9>-tl4Gvw`ztTGtKcCKxj{raiNld|Tu@D%r%b)l?^0
z#>8~clR|??OeL4XJETXyaT(lZ>O3_NcSm3FhYJ76@GYFm=hov|cTg2^+5aXHl-`(Q
z3M8Y{^)(ZkI?<jhbPqefbC=%9AcTb^GnI9&k<l5PJ2rhTNj^*66Cck&qUxd|nH|W^
zpb9?dofmXTMxWtF2d|{AR0NsdUP~Wg_Lk_h_cU!MeJ5qz`=RZ6O4rkkc&4?bE<PQI
z=2jV2?P)r20tWTzU#hncy&nuLm$EIHJw<>G`{5bI>_9!#igBf?aCb!6a#HqZ@FwEZ
z^$ZO1K${?DfUu(c_~{cMw=G+)+LWVWMD08S82~0ZaF>Pg6ef2SWos+r-PTWVY@z*{
zg?<MrtKW{Y4D|Hq!wS*4y}=yKqaQ2+$cfBx+C-Q*p8<En*?A7S03uBsa}9yh8)~sc
zZr`)9YuQ(LYu!dP<{{rh@^Kyz;UMUZ16-;==htLHUP&2(;vsmLZ~}-Zh43st>TfMA
zK|AE;Fs4@tKrCHoXej!9G*XT@tuP*X$8KQEa(Ws^ISj+*{;V`80p$dTC1^Xs=stv?
z9KiAH{vnuL!H>GY9IdHOI65>eFnl3Oa1E!FR3D}9)aBDG6dh0QMH?I~%ND$LOS$-j
z5Uc;a@9)D|NUt6Z$YohP(bmayUFx8s*yw+#JKE<`YTnF@V`hsS^5mi(%>@9IbwuG8
zQHwYLBEg&}Ds$Ux8P1AA9Z+1n{KGnP$G$7DQi=75j6>=SlpCOj;0lzGgF;qCMT_Pi
zqag)^8le68+J9BU8q-POK_H^6y!TpupI15yXDg)64dB+Tjb2nD#&f>w*$6^I`A3z2
zZMON{7{D!K&b*Q&ej^1T3u$R1MA438I~RQ#@gX4*vJ*4xlloQY3-&$isx!CbVC}6+
zzNnVp6_(H~KUZO4xN?J<^l^{S?<CSu3-n)z{{4uk2AAJIW@E=a)D~~UFp*V-7@3Jh
zSflbmXYgQi7tt&u9cyS3j%*h6@*w>HeDY;ReDTBcfOE669Z|YLoCUHzUSGJj`X{L$
z9b|e&#u#pb*)+f$kUM4(N`dzvkM<uQ+pUplpx!j&wL^{%HcJwg#snJ-X3V*^?OW+4
z98OjR=F@iAp8tH*vMHliRH$#)LaR;DyrxoxR`w64hRtoec1}9b-#i-~AWnEz%^=i>
zJLTjuhzKV;MmrlC-XJN9Tn)2NELF1acStaR-R_i5NlirrF+$Xh=^*mjq2yW2+=CjD
zP6S_!I^z_W{tUHdB{TP6)k)4rVl+ORZD(z*XRtvyp1R{yXxx{uM~^Rj?zAna|B-&O
zjajON`lYKRHOY)jj^!EbW+E)}z`h{zPoHbYjOF)k<o~bjHgdvIz60YP1sv-6x66G8
zo);5Y6@_k99FY*s+=Hy0NmqF^$5Z|4^MW8Zzx{c^-Te<JWxmWnaAF6VB}6GbJ|5?M
zUB~>L(uG2`NX?sTw&J02{nxoq!Rk>Y5_`|^7rVEg*S3B;^L)1$Mfosh&s<0oA=U}J
z7{Ua!Pq1nytxglE340TlG1&vAlnsDHmD1yXYP!v$RImWh4*s&=kNKHsmLV`6to5~N
zrM0Z*&n<ybp@(S7-D(NX$7)Nnyybjn&YvN2i9sbLe%n(VM`cUIGz0r7=}Cz%%Z)Ed
z;fP^*^$hfqU9bTFLIi$^MO`?-(SV?dft>hx+J}}1F3UFFVYPYr`Sa&!;c3NP{)11V
z_IRh*Q;bhh+^Qg{J`l7Ezf5?#Qdo5qVa$c=B0L<+mYOqR$$r1fn&XZ^RUZl=<sKjH
zpr{T#z9X8+ViID?!^XMT?F*u9#x5yUq&d8$;0XV>mVL9wAy?HC({Q6WyONW6L)%aa
z;xQ}cd<+iLGOCDXorzn_ccDJW(-CgtR_9=%efY3n(~PLEeNlq5>(JQP6XZYvAQH!P
zA2Zf{J+dhIiQXHmCTwSkmFRSrKFf_?I=x|<x15*8PjY`q_T%U%y|4tGPkI=qNwEx^
zTmRqNd4OkFKB~v2i&U4A9qo#TWx@6sLMRYoAOEsFAa&~(_bSNFCfr2P(Yq(H14rVu
z9h`MT8v?844D7bJpPcOMhmCFU$pNaX!DRPGTN@%W74aC9E%%GV%|2nTy-82=E7(!q
zi`c2%zcv2#4k$n*jf%BDH-xLDB76IEzWp=io|NP#p)^<TUc!S6!+$JY$cQRxfg3&!
z3v2xOQ{=u*=4a3xI}qZI_5+^IZ*p>g`Vq=#plu~E<xXS=i6e9(J#nTKy9L5IVdGbZ
zxWJlH%$u@71i-%nyTl6So4kCQ`quZ>z)-okPf<%JM5}0*N=96|9&LNXP4Z?wwZ5)f
zbox}vfh$B5*Z&~`us%*U1FrmlGzmJ|!w!t(1M{6_tQrzQc3fNh;x)GjPvy1Ck00c1
z<xpYpxGZ_mO;>s#s^ZB!>H=?@e;R)VGPrdG<trT(|K9W)vmS}|UIDC%4fDsTqr=%s
z5O)UmWA=la<}<Sj3W;<_D2}qEtE?%vbG}mA$w>Xq5YV+2Y&gGtRp`b3iLO}-(^CpM
zDNgR!N#5*&b|3oZu8>p$Kmz)S#SXdh62UiE9fe4(*whXjSZ(e5wf*$hzm3l`ZI<Z5
zaRfS1h+D69k4xE~cC2CyTX24EEB@I#c{EC@pUG?C*6_^O{2xs5g?;mfQ`2t7boQp+
z?q}|@Q4iFm-}59TQT;Yk#0SPXAFJv3@W*`&vZt<RQIP6*e>BsMIII40qi4*9MLj64
zu%Z3`=1nYx=_(fByC^oKEcrI(fuaWh5J{#4^%DCem~cacVSvb)oxZN%iQG&!4H7QF
z9D~@w0F-W4aLaDeM)ED{0fM5@P-m}%Po^112i-)jMg8{hH(N~OWovY|yM!IR%_Jr<
zDRX3jJw7-Y=f#zp@%e2ge&6vF?ZamZW|OZ-W@;*iufELZ!N{o3jYVm6lbQjvge+`N
z54OqZ5MxNreDRXBG%dRBSvU8YL9*x;$@8jaSDnb!VDtT@Mtpw!7X&zJrThm(2P}2M
ze#BJ`z4{txtUSJ#tgH%v#8g>NfnKIwxI>w)zP-H!a8Sy$7yPU71<_s02s<&`6ahUD
zyy1#Aq0HOt&~M1@`#kY++QvRKVtt+4sB8wMbTK%|H1Q?+xBGP-jL_sY4lzavd@Q`b
z=uHnkst24^4vjHJ{9k|$1j+V-i6z9BLa{)4db-d1L$?`QQ8nTuM>%%F$jBY@NQ@N-
zw}+*X%rZRBrJ#@cUP&w7daCbLwFTcaW>*-9<RhT+eunzG;iWnx;QTWp_v0VoJMU++
zrMH>d#4owBP_PgUa{pBm$NIxZ460L6@+IBv0bVsUG<3w^edzyNGr+Tf@}FkvC1?x(
zv={roUTYqnFBg7UmTNM|wtj*vt?_D=10=m~t*t2|;#YwMBkd0=(sMz|)O>8B6VA*}
z#`?zZ<_4;cG0KQWm5yPRka%uc^@->T{Jb3QKD+U;WNl}zduFUkW^9HU@m=+;fAY$a
z;A#T~I7^%mB7nMlXhV&;ZTNT559e|Azkd9c5I*y~#n@d7>UmV(hd6GFzvkeN`gUbU
z?k(Xx4nMW&i<Y)YMHOVc++PDH(r*@7ZA}!3FZI_?K&Z<Y#l>91`TL3Up|S5W@>R6E
z4|q&Bp|dA>9|wD&%3e|}QOoci(`coB%Kphx*6cniQr)}Z-yNqil}LZiG0P2#xzfq9
z`<!XJw<GkbHoIGY&|XWnl5fof=wc?8!rFz2)FccYJP<E|Gh!U;-4y8l*qCjCu*DY5
z%5&9DDo270TpK-&o$lsorW)+Ib?IczS2AEuV>FT#7@*OT?nMZh3}TMswYq$LXcDxS
zjvMps24GflmMt8{xc7c~<kjw)Z~6-5e$J97!YDf8V;=`7G$-+Q|G9tNE$?^7h%@kr
zJm#I^;^Uvk+n;CTPBk-R3XymY2OCn5Dz<x;bq>l7TI0NgUYX!=!9pIacp%Cfx#aUv
z<^{dKhQT374I;d}l_&3E4^aSG*j-Ch63A!y1DLn5tY>Y&Ur!*V&AxdceM;E1#I&rF
zdy;Q==ApWhYLSCRY5VNLJ0mLT8K~8M&$``Egg%;=7Y!Gm=e>_3mb<uuc44eVkZuA`
zp9Fd_b55*;>2G7dvI?3R+M4Wa{h^rW2ZnA8+V6k3tbI^bG49LA?9|=u+9TY1!e0&)
zR($#+!P4LoQ+M?6MWa|<#l=2<rR8pjxYrPaW>Qu{$~9jL%EcS&@|uI-8wu}V|3Y=Y
zfKz#Hywj^uo5k=9_*NYll}z-bg~lI1bk)gr^)WzdPTRx)`_QMQn&<SFd6A2y8Y=nX
zf|)OLwh1aM^fu?IpA3wO_u6j}sy`k1Xl>PRVw!vMMN*8^&L>Ivo86^0AciMVi>$s*
zhL-=s$SlYM3D)OqJj;|Ul-_4oieGiq<V~vk^J>~VUS~tbwx6297J7xNJGK1UN_Vh)
zy|qH+p=w~_)C`i@1Ec|>no(t(7zj~!YsnQT<Ve%uDWqMSPRgWr$a&;`+~EU@j0Rsb
z(L8%=Q+l9nKw&-+ifv&$+BzeoH4zdI3;<9au*9tl8<Z`fSnw4mv=YcRMV-f*l0L9+
z{AZF|TW;<?5S=0-lF!|UZ!Nyo^3bR>;iMILNTCll8>Y8UiJy0OcZW!dxhMXv7+6m0
zA3ge@Wn~4F)Lu6Bz=5B`DJQJ0)0(2eg8dRpH;laqH71fBP2BJQKni!*mtW}OpnjHs
zFsXmi6`Tfi$NAyB@rLy&_MfoLW4}|Smu!nDF~3^Wj&}k1_tJ0hPmj}8aEmBY$E;fb
zmo<2IM@NTP*`1kWNyC;M$&Ib(rY8D99q@G-)+y+hOMSoZ+WzhM?<;DX!j8HbsHYv;
z=<z;q@!c`0!KeMEbm@`PGPNp{d9|=exVE)9<TH8vkhcBClVM|BW+Jz%`B&Qo!aLvL
zxODS6@UWx%-Yn^bSs1AdhTE<(2b_i<GFSE`e2uvrd|msJ)Ya0^nT$l1jw_*iDvKRg
zw|pX8;$CgXg<eYRwy%mH0)tS~sssQW=Px<oAkn7k5H0cLVEXRGy!ta^3YqR@XQEn%
zW^|g!avPSz_y|(bX}?cY%LHC<xj7Y)0E_sz9*$XDwy{BmnIU+c5ReNBN-okl)1MK$
zMJ*(v?fzt0UTLl*mONzQ5%MdHqu1}|na-S@*KXhXa)|W-Vb<q;8T28~vNiA=P)@R`
z?2rA7UK!fEq0)IU+`;B8G8Ri1iEKz*i0)$)@1*iNd}o){fp6buxIDQ+o!9?eTlDxH
zfLKvEqlXRxK;MX*_tw^^hzJ+#7DUepODxplM+_u#BfGy{{WLzndFf%U!^7}`z>qpE
znDXv!xp@9wjV5%0dy5Z{zK4IJ@<1{$(y)kdkZmR*z8}n8+Y;yVw|1|&&WdWjdwut`
zrEyhD@|B0$z-RD2>gon4I`-|{=xG@<BNnoyOPgBI>vmlHgi&Yz8HJBW<l{6m&YxZ>
zCwAjM<Z`1spIF^hE8g#B8|dHGoumCk^$fm2vQ+lg73~gj{q!w@G4oa-16#dRG1oaG
zfhxPr!Gfw4oNH3;JoW=oP`jXwxk)!6$ag+C=D-jwb~Nc%ls^64l8TlK%h&?eeQS!p
zIeF*Xwz$_ni9b2$Ly8kJ51n92J{q{io7a}h;L3y6jgPZ6>ceh5m?x1UkJUXJr6{ih
z@rx9CP{Z}q<ja8@Sz%vWjna;#n@be4^K%WUg(;*yAA3V*fTN2<$|9qIacVV9ZnxUG
zSl`6B#dFkMj!MbLh`2V=X*!CIRn|Mznz_xFV*?&$bM1Q8dqaJ|faSx6x{2-*(s><T
zwP}K}VW#qvD#(kzlv*Kp{vG|boNu@Jz9^aAxU2t5*)N<=H{ne-+2w88{?iSAe^_Uo
z>$09Y>&9TIYd0lL7tJlP=WRLRZ}V$jXS<7D^^x9*@CyQq59zZtH=e3WxH}?6cprPa
zvUL5{z3%#`#$6-dLDsNrjGh0<>zzj;#siF~-+xdwY`=9^YT0(qJ2-lCWK`9c^=w1L
zEpzMQ!XK-<v~~L3Q2sg^{l)})jjj&6^b;;U{euQ!6WiL^$Al|{YOdHmx%+n^D=>HI
zsnnh82$k4qY{pqpps*Y_kl202{>~TCi_hw=<SyZtk{%s_nu**P;)$b)p5e~-5Yy`m
zC^YP**kY~rm}h$qOx@_c!1Z9@P(Ss!<YfI{oAeh)7(D3jL}s^KxuG#Fl|UZ%yW2W$
z;&iQ~a<h1rVYThz<f+@7#3g*C7oAAqm$yT)b?Nk0{bQ^SNzSw8x6ds;SYkXzEK)vh
z(TQUh+Qv!}=lS%WbcE~vdhYf{;RjJ8c=shxb2;SCdkmE99Q&#BT}vuUI;inH@o8SV
zNec36NbuiR-=58?+vHG^U&l!NJKqDb89}my)0v&uBHzZ89u4i#JFqu3#$IQU;bMK>
z-=WNLg4@f{!Yfub?_rs(Zdt!s<fL3wxD1r4ncifF=)b?`1t0`Dtyf73Ax06Of*TpX
zG}Lf<d`LY@=_jMN?(FtEd2%=COZVarD)&IjXEjw&TPP@8EPU|lgSX%JJU>4kZG2I(
z>g`ti01rE~7uy2Aze}5!AKvqMX+~K7aRw*D`6p>zwp*7@5_^TRgkhJB*10!s=gb~;
zNQdmY)?32$C$K;@CugNGF@*YM+co0D_l|-x)1=yoJ7;Q^EyA_dqi*(h{q7yV2b{HS
zvxqzSl#)WRx!obPDxxW)b4{S5?<Ir}hLu%vzG@>opJX#^n99D~7j$N03E*WCX_}|J
z?NRq}y(;<_cSAI#JU+-u{`nq5E@8OK)MwisO<dQzo#ltrQuh>hY!S~t)on9cIA*9c
z`Q-AU2Tg^^fYV75+bKFeKfK4^(a>=2%8pQDvpO4#t$EsDe5@b)of&^#>Y(9j>AY%i
z2k}{|O3;^ls!@Gz{$Pb`Il-JQUEqZQXMr|*(}f1PlG;&~ZU&YXE#f2O*-BZw;&*XZ
zTC!k&$jR9qqu)MG7=|3U+`Oy0VVt<-<@$pv#L%b{?d!L1mX3#eoLh#x6l|?W=;cui
z0jZ7Vt{*S!V@y*vOMa$%cvHG&H~)J*^_^|+@(Q93%jZezjs~*oe!aV(>k|8@Z6c%5
zq{43B7SwsYlcy(TYWe;uvr9_ayX`j{ZMi!|NV7kG)(P6hp4n-oBJ1zAtgW#FbbGpP
z=c2{Kr_|io=*h*V;^T*!VVH@z5)kj6yE5|L`OFYw&$<;AZn9w23RaYrmX8-bTXR3(
zIPiMd+K*HT8rt*SePy}tMC7Ai^#=0#sLAfyw|=5*Ep*SqOHcA#{o$YXQ)i1*6C*6A
z&KiZ6r7wGeFulQJQl*%((+4N}LPs23(EF<OM<2(oY6?WnNPalU*G%c9=Ap=qYXNb+
z$vml3EK%lw*ZhBum0(PUKIXqjtc!N`mpWI+lsDV#ESUFr&P>kK-+uN^<=KAsFKvm|
zHx{Cfdm1;?vRIXtOgQx}NF(M2j9pF>$B-#)=9eH*EImJY>{#%VC$^4GA~pYTqy`3L
zWA_#4M|gn#in~g16f@030n1=4#kpxyVv<8x!q)!~QHKDkiHoyybb6VJz7D+Cma~Ly
z3VEH^D-!#{G)c6TxASAy16zFVq$AkhTSJ3=oOUGXR)wa!A1I$QxJ-P5EuKN4Nl!r|
zW+1GJwvmsWmNVY^bhz`wI{EFB%Y#dS#Ls+PN9;2=s4I$-^>_<BqJ-vNSijt`=}C4}
zLwef)vGTlO4q+8(6{f^n653AvO~W$5v8P3~@2z~ZxjVjH-Z!WcWX`ZY@cHk8*vElU
z!>1@^8;Iw`@(6=`Pl8Q(WA0x5kdrlB(kbCS8-CoGv3|OPC~$z4%7<!}Rdi=-jz@o$
zrWt8xQ_Lv(Ywpaq0mIV^qfNGR>f=3k&n-K(OD}FGUP2!8QIqneRk2a4Y)swF{(SXQ
z);VR+bl#nbtL@kP;dy8vu5p>~!%rsNV&c(fJm~Fj8p<(kZkTwhrT#+8{F5(^MG8s_
zuQce$s-_EBZZdy%J<BZhZ23!%uJ$7ZZDzgmlqD}mbECPs^PQ8h4#4}H%ctc!&cA=p
z^=zA@e#-}b^dpvCW_E76TZx-f?hEqz(H4&v*SnWygAFDh4omkQzDNA=6Z8~ZEPP}R
zp;o`!^#)EI8{_m$-inMg2rT8i8#yk5pMVKFm+R&uHQEF8cB(CW+pHTpHWL3V3(xT*
zf#1Z^)!cJDd@Sz{I>b_dZii1oUzq`bU-rcIbcIg&A%)^1#ctxhc>9u=W-EIwKGbz<
zq}|pLw$`dyp{z;yyP*m1EaxTH%a&V*c8AG-jr9!p+d;FcdHZXwxBMI#!{$cpqCA^#
zeJ9_n&XOFGRn}0VjB?r^MqCLWr0S0rB7fhh`}oLgP+Qv9gZNo?<}Q|#J#58(nJ?cj
z+vi?PUq3<o@Sv}I7g;ULUcK_@<3*5@@lQ`>DCNyIm=l>9Ja6m${<<HN7+^t>`m$kX
zY?rqe@j4z1_3vHbxU|KOc=yUZ-~tH7_;p-j&;98`d|!h8*7u6yof}JR+pDer*@7h?
zojiK~ZyQfy)uLHIhd?ySz{^2Tk;PC10xd(s{arGtBodRUhU!86AH<Mk-vLZHw8Tqh
zAXWzqw26a*m>~g;#6N2o#u7Jzr0&a4wTz0n0HpK$Z)Xb~Q(8toArDGW5C&hJd3I+(
z<A=89q=5-?t^dB_Yal<B2L^D#<U=$>ph{OcsBw!DXN`=CFjC8GajzB4tBaJZLTpz1
z7=SZ)mYM+<Lq-}nMCyj0{{E6<??Wj{AyX_aHg;Q{YqP7(EViiSK%nWRuTOzhzVEjG
z%fbe&-yPT!!lW>fBFK{STZ#Kj3f>%}%lm8At<!Bplw1w;&_u9=z&3147cI%ECr^f-
z3;+9b%91g(3xCBww&ZGXyS7X<;j(?1u?t~WqG|faTiq3e@s_40Ix>C(6pHvE{s?2%
z;=hZNWNBIB-W8548x|F?A8F>}A|T;RPEK|&=>Uu~u>nAJseN}PLD(Nh$7q^q5cFef
z<@h`Ux$+CsCL9|L2aalGE%r;8EP5#VS5^EuCf(s5jX0&p<*MrAhdd+Ls{cqFBo2}a
zqBS3XlQCWe#vj=?w)8la#)WAT4mf__4<7<NB6X6pfPH0U?O7JgYg++*&|e&?0_4P2
zgBhKjzDq=#UgzcrkAzN__HI}1%KaXjEA2ft8>*X{a<!y_$IaCR=PQC&F4vQFqS&Rt
z_#=Zyw;v}UdFhmGqvt^W0}g;uloDnsb_M+$32C=B&3dhkufY{Gn7Idf?J<Di_00zZ
z3n$-g6NhB-^yvlQY}-sY6JOvidqPXksp9dct&{Lhy`Qm>bm>bmMJYOF@JL;20LZv}
zl5VL!sSdFKb37<?!%dva`sj_D?9>c*RpXNZ#K2uDj~L1fqCUn0wSJn0XkWp_?&8OZ
zI?2(1B}rBV=>szkM7iFKTY{`Qi54q*eWwK2?~j~`*Lh!$lqt_NE|8j3fmkpuEUeeL
zNNJ(#76EJ|g9s?#I|z0Xlo~y9f8G0)4fb)%?o?2?fkA*u0Kj@tS7Wx!mZHCe+!x0a
z7}JP-2ZYX6d2k?~AB_qP2_bGfRQQ?+-*WQu)-V&r)Z^dT=y=liO*=n}sBda=Tw9sf
z3QA%bxS`mIshXgups;WZ@=neA(MZyAxtc*NOUzpF-arF}eg>#}tj@1PObYrqRhO6k
zu4QI%HT(Bh(?CE(a;#hSMI=ZSo7aQ}`=J2BGu{BNgYOLuh&Wb4)-Oa~YTHXU2Gl~B
zxY~L#ZauklCP{pDu)b<=nCEaT^t*ql9OOf{%`GgpnCwV=K}=eJ{X-rzsk4RZQc^;~
zp{;!{UcItM$`JvuWnZiz5hnmiIra6L!rvVb)B%cr?Qwsv(Trl9EAcZVk@C>S4-^Bh
zZQ61%sZjGs#emv}mP`HWjo{1BtgT>3bOStfz*&GR2)l><4m<U(@K`M{s!D+nNX&|e
ztqo#w(DFe0#C-x?O)P6YcPQz~Z4%QZ9$sEv+$HmK3#`gUX!r-<Z2<2wAlFE-f`Km#
zGQb)T5*E%Z92QEj_TN-_ktehlPVmOB&mT4(nI^9<w*=pb1_|Gbz#e}N8uH{c{jWty
zU@zRu;5|Vd=cE1rJU`q&kY}+4`am^5b?yn11}V21H^)rFDEA76r?+S}6as`c7K>m;
zMBGJ8?XgfDirS}cXi}61eyptp4749(F1s5eMg-Gm`J;zA<tu(ldD7{imXRAH>3P1)
z1Pu~Ae6#D2;Ntp4d|{I=^%4#%dlmU8zO$PQQfzpP&-0hk+I3LYLGy3RBQ_$t{O;TL
z7(L6LM*NTaAELKt^f#vXe^HLyfcrWcsFdMN^ZEY|L)|=@`uzD3I&f=QR=EhhB<09N
z`=*+Ti#&C=@!p*ed(*O>00@5kxC7Y55f2|?YK-Lx60to1YGS%aOj~eF{CN7*|Is53
zvMT(9?OTp%I6FJLxfQmIK>H^he_37BgQoKFLhw2>gXJ^StS7L6Eq?*XkAzu9F8KxQ
zd`ciX!n@tBa7Z9wm}VQyqFGf`?;iQr4p|VcBGj{od7#>#k5qJ?Sx(vgKcGQhX2O%V
z-pNPdK&;N+jimZwl3hl_i(2KW$t`qMlUNuTAa9=sb@F9e8iVOo=*&$(Ae4%E7#_X@
z@|E1&Q@>KlhY<$<FNG0pJrqWnE!$4hO00|Xk>L1yGf7O<a46xNlFkPG(K8IpG_r5!
zc*|=;^>d&lu&Y3u4;RXLaDW$52>QC)SC9v&F4NGF7Z`o(|GxQkt~|NeV%`<i;H39u
zzE{o|J2T#?v}@P<-_Blme8@6nZaL?pboE&mb&nX__Q4BZ|9#<4DyA2l=?;Xe2}Z*l
zD(Wsil+jxMF2C{Qb}Q+CFqw{g<o;HR)BV9xc(K*rcaO)y4Ih;TKv5k2a0ARv%*k=W
z46bb9tvJRW8XD`X#1AP!l!Lh|Rvw{PNTP_s&=vxk&TmakeSLjLBPA*Z=_^<9OQVQi
z`e^&lIGPvE&=z33Q+6A5l-(mGg;ykXru>7YY0Y<0$R5DX1<ekIg?NtteJ2F#Ur6c0
z&Zp}YsY1;0s1cq!Gx<eDMq7gjF{j~)Q>XR;`R|%t#F|kW0>jw1-ih?`WB=9uUj$4C
z)2>NZ*fJq*kaok?8K_{#*Ouefsy;b=ZG-gDt=*{wP_Oj9efuEp=<mP3S+WN;lZdeJ
zp2ExO>pf_8*5FzZL--Sm8MMO4of#tx)YQ}f1~-_-Vd2jm`bV%r;wb-*t?~5#yfu3N
zvyXaHgXl->m9I#6-ia>`WpARAMp^;gKl|%{{UvohD3o0GZwKm5uI==g*8a=ILR6})
z`dhrJj`+RGFF;`+=8tPDoofmhuV&u(ZH<Xl1G_I&kBx(=(6=^)pL3)}of!*uLK!@f
zj<nzm?CK=0#!?0p?6sxLHCB~-+Yd+`aG!B2@p+HI5*{#FuT_t$&KpQ1X0$6LGiU5%
z*Rck}3f^PV=J|8YZroHQ^~dUd?{Os!MIDys7VGv&$lo88e0B5V?pI><d{g(bH8#2(
zeEfKCz@E|d3IfNO4=z0Y@K8BK{on_U_2(KAMQB-Pc=&F<*;FC--9F%@*yB~3@c~c8
zgq)V8*K>AEWsgf*7DqBMalsc%DDY8b=j0r2#r?X18|X0(A<wmTN>cg!_VcvLO(+>~
zVwj#d5vtC2D&4TTscG-NeRFr0;$l_2KoqiH#dzZ&Gb1A-Sk>VX5u6+x0%0{oVLje?
z@h<GQBWlcXfPnpc8v7Y0i<tZ<&3KbYUN_HnQ3QPM>oXS$$Ax?(Kw*4A!;+AdHSOX|
z2#ZjTL784z%PDSZT<rQfE9;t>*;AZ=U|_(i$MeseO>QYn_A@ibF<Hg~x*Ge3lB9aX
zo0dlwM)>F4&O+P`LKIw;Wh5o*8yl~|pax-GFqUY`h5i#Q^8eG@)xI<ph4G^{i$pic
zK+&nauxx!WqDaeu)AhlUg^MgG+h#&9&ZS67F6O$nW_^(oDzv=P1eIWj;s#P&CBN*$
z9I_-=v=_83$x&&s4cFH1tpA~}cW`&^J?A;kbMEtdL2ROc1z!Q?)$jp8<Etn?zgeTv
zXtf?Rzi?05z5&r5pQ*#)Flb`irLFkXjJJYra3WZpN@96<YuRg|P-Y(k(_4OF1!(0N
zkYN6X$ySWN_xV)XlQyfBYS99N0F@Vi?TMEjkfwl->(c1}*FvUV@_Lo<Y_$~rv$BMS
z06Q=+0|*cPxO>Y_NW9EDn<jV+@nT~SVDXwRe#ku)M1m^+{s#DVn0(<9GYmF)zy1CS
z+}MHMX>#etU_mi5vVTXa62gIPfNcwm0Pj7hy8~1nOo7=3YUKFhI6NJIo!`<P8C>4=
za2^?fy96eGM&f)N^_{yE2+p_zCCRJ9@Dh+ngxlt<EuZuksS)VzL-niHDAfx;i(x^-
ziYJ}Guo;GN^V9)$Xej<`?VL8uBfU=uzcS|vrx#}F+Y}88re$O4JLglDP4vB%3Tox@
zK!=hTN^mHY`5_tO$D@3`b_}Y|Hb>Ag_-s>5Dla3RWqa}$4v0kh`u@x)f>lJH2&W@c
z4@|b%rC1|QuMn9m0r^2xp|EgV!o)M1%_wmnSq~CJSvD43l~g*1;*}}REhwNIopolN
zn@=M@s_8`5jJo_Ppts<a8toW2n^&+aw=d>^1-<IHokn68P~8CPXq%pXdp9}>@gV>x
z0l@jQ@dbIoiQ^S*Gl|6@N*?{tl8(sW^Ra5Wb$MCTIsh2QR?2;~HwA{viH|!?*D6If
zMt)xH><mXD5oD;zO-itU^(}N+0u#1d5`+RW&{PmQ9aAf^y_iK(x3N<~7VS=FQnBg=
z+)tWOhO5<TSk#TWpu&eW)&5yXX1R|E#86;{?ufpk2#*$;jmZttkel2%i_?>}W^YQe
e2K_%j-Q!ZuXn)^)zRz<V!yz@N<T6W@iuntrQrx)!
diff --git a/public/latent-spaces_files/figure-html/unnamed-chunk-8-1.png b/public/latent-spaces_files/figure-html/unnamed-chunk-8-1.png
index 2f1809e5c12b1652d2a9ff7934c27388561129b4..d6432ff0d745f6cfb54224ad8b3660af1a8d2d51 100644
GIT binary patch
literal 107659
zcmeFZc{tW<`#!3XMoOg;Qc4Jw%u|adgff<KNiv0yd1{qNLJ=}oWF9il6iH@f$~=Y4
z^UU+?^V3@I_uaqW{%7yw*x&uf{=Sa2T3W~R@Oke0zOL)M&hxx(kLz+*c5Oeroq~d5
zm(<mZ3KSIEA5u_kxj?lM|7ZMo#18yt+x@GzEGZ}$+=+iT_zX<zQBWMEkh=JXl5OZ%
zr=6p6Q|=j(6_w)ajmM}qHobdyE_SEFo()0wGX3KPZj2^1XK5KTv^fadC0NBLMW~F<
zXU;3M7wv9hSMw}t-mzsP-G|Df&sdHHOE7Ofbd34(Mi!Rkb#rI_i1W1iKUh7M)=682
z#?lwkTbvivRzq1GCU45h%HpYhe|>LA&fN6R_YX_|+9>kR_ZKg0VEpIXV{a&^|M_;$
z^@o&yfBTT?)W?6`cVY9so(+Hh-=iD1PyO>!nhjfQ|M~Xm!~X|AHp6WE_uGydZrQRW
zH#e8r^{nof=ZAUYGfOx0++X;i>%$;$|ERF=Y9&X?z44nA2BWumd3lo<em@M$P+UxS
zUf(kg2`ZZo^Kz5y&gQmWiu(eio%xFso%yQ^<N3Pf-p$@y9%j{Y{`!CKq5qrK;y*u@
z;=k>j{SRB)`l5e@`O)L?MkT?ErO)1durxa*O0)7{TlvCHeJ0wi3kKs~kCw($A35bb
z-{hNVOg+|d%c|$XP^9;Wb%*&C+3=23)s*JlUZtV`#Pi4A=y&WQBo$j*t5aNNKReG}
zai0u3B*ycmtn^WJ!f8&<r4;f?xt}~^M}BsfdTL@~Wb`$`<!*9e`*eA>^gYMD#3p2T
z3r`kU&W|)@lD*1qx3;#fugnXNXEfZcer^7F&z1AVj*`Xe<7SB6_NjUO2&V-P)^IB3
z>QKR14((;>*&F-m=(ulw=&9lFb|kMaR#jFCS&cksym4h0gV2MSpB0jBJ6rQ@CKGR^
z@9p?Fnw&q;VOf{7Zl<HtTVOZaWj~tK*Vp&#*)v8_`<;v;wjDX<eysAfm6b+Dx|S9e
zj81dk+;+IqOcbq7_;aYb(Foa0i0Idbx<!~sD>C>$y(pCaO;q^Lj}N~^UWsraEqCVI
zm@U0*6pD#k;3*7IFc4>)eZ{6|TC_aqR&_qYYFqNDOui86#ID;lr(cYHTZ|wtM|d9K
z6q^1_>q451;BOf7ah{9J?y@&tTbk}BlNPC4??y^XOCLCW^Mmzx+q-w~($doK&A`u}
z#KZpl`m(>=XYyNr1ea|^N2;HkTMLiF!We0NHHJn~f$iHhVJl(gxHZ9_w=1M|1dO_i
zoC3KtEi5d&MHha&m2{U26-fQIXZXd2x=_LNw6vN0?)3@RZM4B^s*>|F`jcIS+{J4%
z@yZEVrk#0a-9`9weynv?F=D0h>7L`4eHc4q<RdosOL6Ac3iLl$H_d&oW6X26nu>Yt
zC#(3Ov$rquw12<ecibf{-9<q?cxI`i`nG%Z@+$}4=_3>r3bQ_<y}@L<?biIcA4g1j
zzYmq{KVA~1@4gVOTCMZ*F&10f#i?xKOL}p1ywU2TEy5O-@}vnHpVgHXbpbvxW}@V%
zDGt?!_49rh85toK9(&jS#cOu3CLh}@C(!HaR%P?6{;lOutruTYvSz<_ARVXLKJpb)
z(+Pi7t=2}OZdeXh2l433>FMbeWa0xVD=FP;%P?$+mUUUK(!T6<*s4L6pEt4jmB0TJ
znzZ!v_H1&DWtCi*P#O7#rsn#uNS~smKF_A6CT3S+d47G<tqT`TP)SnDG-|S}6J0E2
zB2B&4^)@^o|NZ-S<ph;5^Dl>XX}he?x6rR&)!2>`v{{&^u{B*;Ss7>4d9rY^%VDx`
zd3LDVX|eP1)?M+Mrw3{cqu09%9rPdYm)%a?*Jh@4?AGFArnNV5nyt4@zFe}MlMUfB
z`S$J-J>R`kr%xw_P+N_6<XU#-Suwi~H^i`hzblH*>9W!g5$?P)jFV0yar(e$Tc$CU
zPD`?;u+4<ycxH?9Vt%)#b*o;WhK1BhNbB=gJOy!Q6rM6adG)oPVsFwuw@9q<%*;&5
z?=QWofOXPhaq(2i4&sQ|yPF8@9n15g=kGEvXE<@<#B>Wz;Vn(gLcFjhgr8eIYiw<{
zj%>fN_|bcw+=7KRV?3(>4!vUQ*XR=hGwv+<<O2sIj#n&4+4K71bOcW?B%c{w{-95O
z8|Y}E`9tF{W7r;{^D{A%Q`70|DK1XyU+5D!I6|}&qvJ=$Bi0iOVhuizXJ=p4a7_E1
zQlfe4MA8?|rNzg`4^#z;uT7N>3=B|<OnsE37TxDrHo_^cQ{ozx{I<HTt~<*_-F-I$
z7DQD+A<ce%BvrSZFYjlH^L#=vX+DM76@S;d|7i<r*aL;Nz?G$#!P>C=yEVc1(X0`U
zX<d~4s#%@3{a%Pfvy6e&$zqq`@9&vi>zo(T>9lNnzg=Nskcf?qy_tHuOxH&=%cMPP
z(uKT=eKspSSMlbL$J=-8pySf`@qwb)cDfHgbZMhk^7&S8>5F|~he&pH2=g=i{EPg>
z%d%2Z72G(M_!Y(0sjq}%mKS*PLh>FA`%0{ONwbWKt^A6NdNvSbz{6D%Y4+oT&Zez9
zPqDMBWf*)@R@H3!RgTlIq^M~5^W_!qBZB8%@{PugyEn*-uVZhRgdP}_doxH<`TP4%
z7R=VB=~Y=+S_X1!cYUB>8c+4JaJzEw@^-eD9vfKH*r=~CyCM(GkG2%geU~vqatjr-
z+`fIgY2keHWwZ0Xk1pmVBb|ghOt7)B9TK?TgI~{!Y;NmegA}y9yqr=nBmKx-zp@ok
znU8~2&gd|PS4-&~4+-e`%H$imuKuT^ocNI6NK>o@1%-jMxn0g6`Gk^_k9yIGH3O*}
z8>5rDj}F`jjwl`!?v6`NOx*UCWM<^GTuv+h0J-gxtm9etSDF6eU6d3@IXH~JM@gw_
z+38We{qW&F(!+3e?w_9?(Ukna&U(?)N!-l2uM_FXsgZL=>rLKBd;(H1(=H~lf(4;m
ztwMX*2(k6I?u@~_#wy$Q2O~7gtG1F?QpolQVtmW&>dhc5_xemPDg^zRKQGwXEhC84
z5zv$A$FF#gH6^r+rW9+bsi{pSExnIWjLG^{w`rU8UCHtGZ1JH`%c8mW+)rq*dWg)v
zl$ZuVkBo?%*ke-CC)2nrgF+t-(w+=2^rYkV*8Z+058Q5QYD%S3`HIa-#(dk!-bY(@
z^sP@d;jlKVn~9=m_BAciNZ>eMetvMe#?0ArVXQUsijVi7!XeG<cFOW0(jHXrMUFh7
z$+MXhvmX0_$~zluoV<-0<uQ6fQAF({;=pF2<B(^WY5sT?7N}Y4&#<sCQEXp`X&##x
zH6M4_*kN&JN1T?~nVH~XKk4ATOhF+L>+L1xub%!Ze$89bJ|vya^$`i93oxy?cD`Q0
zC_bTuH07?my71(4{G|D)%R+jg`W^8-ifAYd)a3*RUM-2^fnMHKM4@*W@K=?fQjEUl
zp}LA>+VtVIrn2&UqoVv1nlIiA4&N@(@wO?QJ`jRENzp3w-To#%ek4dg+#}nu%WjBQ
z<0vcZP<uDYno4K1IY}nqbljq8zV-M?`EU(o<xE6bUJBj5efPQw?7qHWmhH?JrrkSM
zeYf#|aKGN`^TI<f##y;$uI|+^{CO)d_nO=%X4<<Wjd9b)fh~!*8m9X3BimDTui&@y
znW*)dd|?o=o$_&6)1}fu{h`yi|A*q9g^A8pZPI}D_tr0inbKOk&)<$mU3C4<<lR@a
zRL1><sgH!j`6@8*3ZuSamRUEW#Mg?7;g%F_BhIKG%|eGoQVCrVjf8EV2dj~hk%A}l
zA09r{UbQ5XUIFRr3WdSWyD6rom2ccIN0D$E<cScR`FdO)h{=V#=;9;((v_-E@rYK(
zi%LqDERm7xZ}d!7tF)zOXZ_Zdtn>!*sl{G<*e<bH?y#qLnDu_fg-OAmw5|$ZVBhoc
zuW(TZZ?syP`PNP=bFG=iEq!I4qfI}N`JZ`uN>a)0k5wShfNd30n~q}D&O_(!AkiSC
zvC4+FmsU|a!vTXXc^+u;5_Dd6=q$Oj<LU>VkQ*sSUpfz+?{@Ax=EJfl=xbiJp2hav
zL1zl>=MRh8&jDl{;L;GlA+u-l(XJP{_v1reQ`~01Gveap7s44^GNiSd8ln}BNeok8
z$>hrW^$vx_KQM4;V1U<>cGbXYyp7lOx|&*^aZ9q8(@Ipm#7e8xbQxV;gt!Y3flMG*
z*m*;R?Ppm|O~1_j)>_PY<cfz(foenDU)Ka|r~Vx6x<t|A_a_>}h}DiE0unB{h%fa#
z#>W>!kwOnz>bA?c^T%#h7iU(bn7Q#YE~;Nw%dfC5oMWCbSAIQGQ`i;3Klv(uqO!8q
zn~zbff&eFN0jT!?4QXkI#j^NrO*`xZbZwo^=a3H<v8xRg+;QNv!Oi3y%nv3ymZSXS
zq%FPX3)UCfnO%V{!W?HRYED~^#KjB_4HeJU3ZsJ0Gdc?2@A*h8FJg|zL2q2n<l;#6
zHZ9Ep^@c&%I#j^?w)2cjOK93=;q*fZswv)N-H#79Fh8p`EL#73iBam<xtCT!RX_K!
z_?`j2Q3pb)^ydIvMk>%+wMX7cNGUpec+Fob?aJH>X32Bef4MjQSI!VW(sWqF_C62;
zmT9$CcrxSW24~<;{Nlve*c?1Kfdp<uUM{Oj^^g(I&$Alk1Gd65u2rx`h>RwtpIhAd
z=<}7q%lhQ3`$tZ2O>4=DQ=ZcqsPwn9vrA&w@=<4k+GR=7WWKPuHcU7Ld3Z_bDvJgA
z<%+((3%R)V*82TBZ$Fk_Y$|dpODVE%e8rZ;K;=#ij^QES+q}HIoE%%M!*obZxJ{Rx
zsKdg&oSR6MYZdkLp;%0!+;*y>)DpPr`p_T4iZOCwz<q1;dH%UeO;%SJtdzzjZ$|Dl
z%hfJ+uE{>aEptTR{+q<a#4A3G^Ic(lCT(uJ=y665a(_&@nffj<@g9nbX5ItC=$g;M
z?0Y<H?nbh+v!iB40A$gWY-0_j>F&BJ6ce;SOQ*w9k$k=_u}b4)`6cH$F9u;gR@Rt|
zj0Y9ICx#+ioX5)pIn}KZd|aA&&zZ!<TKP)J3zDdmilgqa-eKow<G-Cj+mZ)7$=`ZV
z;i`uL<qL!Nf=8NYJ<C==XaKF^^ENsp#K{?G9n)+{*RP{D&FTF_$#nYk>9yrL7e>5p
zanc2R2wI}K=RCE)z=kll?5&991+x;UWp9X-i@LbFHY6U=v-Kp`r<b|Qt;J<uhGH$m
zK55AcQsU#E2c*kOx!0PeH`Viryi_i}mwNBRW(7^nP9=XQG;e0b>kIX7CDjF@N)=?O
z$gwVW16?&meY{TZTe{hrZ>VVO{!!-=D5W>NylWNt2uU9O+O_Y2MUB5^(5D&9HP7wh
zX7JQLCTKg=(`GzOJn&2fYYKMb)1xg`p6Bt1J8pDL7rouAo~-$%prAl!;Lj4*Z9XD1
zU%$VXNy!}y-pwGyVoP5BXFHOJia*|#$?OV%f%W-3DbazT2r(-XEV>XJX89ExQ(;<J
zFRfl!lXpyf1#yZ3A%faRBrnd7<&)wBMno{4XuoTa#blZ{94$*;3n|gG>9j&%MrQ@p
z$nd1#Z6l`6CijA#zJ2?9U(Oui<t}<ZT@;V)pkhYfz}uwuNR!|2dla*zTLGE{4wb}H
zTwGlQ5Hx8I;8b7udfew4Fb2x7p>xWmb4FHUKg^pGZxydJr4Y@D)kx!2H*ZAFW`Jb+
zh{($2&knqqM}DO1%R9Oz;v;FPXWf%xm!nWCb7ykSaUqkUyEspsy8h7T;xOs@%P*Wi
zW%3uixDG4{v=$qy{(Bp&COQO3>dR;r33yB+VQsyDwk|mD$ryUTy>TB@l$ANP3IrN+
zFP<|+{ToGn%DUIuQnZlS)~8}^Z7uR}j_>`RZCM)m7b590ZHB)ORP)qnq}{1_wx7do
zH^a&odb7FVhM`xAa)w1Un-L>YR(F#&QSL@u9d)JgEJHWt1IUWTx$gDZ$OXB6L+e`R
zc6kk!d^SlAlX<?;%Fo~UQH63XhfM$O>>g86?`FP-#s>LsI$OawJ;?c2Yr6jU`}a(a
zQ-27B*j+UoY>JZd`%Zm);MLRn6do!@r8j2#PIS4ITk(XQK{{%q3}7Y2*%OBgO^=qt
zcqVWG`>9i3tE$w2&yjeB>LQA<Gx?K6`9bP&S9pzx=4zrN_tK?H+-UXQ2Wkah{ZS+1
zct`I3f?4XcU`ePv3Q5HV3Ni0saT&uMF2lCAUngj8Ge^x)EzwB)x_OIH@BGyCH?e2k
zLT>^<n_Ms!nyuzBcA4Q~W3wAeEl0{A0Jrv9A01%uy~>(ojoh@1jPro4eV;w7w8fD+
z8SQ?)L<uHNbR}7=ja};nfk3RRtTGlS#8CWc4Rd2-Pr25|DaJ%UD<_gWwxQ(7j%>4T
zElo{PoS=ZU8)9*_iM)E1uLeC2{j<_a`D|=|mtqB9>DPat-8^*eXQxfKW`@Cy0t%+$
z93GOrk;xaEUsxA<v0W?P!V^!)k?-F1^?7o8TbGU+`WM8<cmdfc(0d2pP*hAur%fXf
zNiAx42>XWKvknb;a?#32_u3#o@{4-5X(zC-7|MLK*j{C8G~G_<vWt+M3GRf*Z|f}A
z{$AQ0<u}q4el>lz?D<S9?+7F`QgqI&tAJ_!*A-=DLycdQ7i21GYZ=j8G$*OkI~kAt
zNabYut`n!I@~c(wRn&@ph3MkM)AL7`e*AK5yphDP(S1KrDze@oUidp7G*B`*5{wG|
zGX>x-lUscxr5Bi8({8|Dmh-xL)FCm)C8CE!IPIe6BT7hIQtFLqb*hQ(Viyop1R^j>
zUE1X!FEkt#on`a+=^m%m1*d*5egw&0&oW<j?)ThrwbwM1!u*O<JXmOdV@c_>Z9G^S
zn{Fo?B!5+HCo7!4z83zL!Zp!WzJ6hIGHD$gfYx??79VN#uTy-!d-ptZ6j)j9CTnSF
zF-jQhSZ^qDS~X57<m2bhe)sN}xOj2UMn~6HtHB_BMwhi|z=Arl)iG5hkGZU)mujki
zgT_B93+=xi`Gq`Ls6jkppI~TFq_>bXGt<$A<YLkaxSJECR{?oNi-nV!PsEQ4-+L}5
zbh_hppT4-|y>i_ZZAL?ZdW&aT_QO3_nBFh69uFpM+{i{q0S1z{Q-2_mR+G$}65hP|
z6Xjt(+5Fmdw5r%?Mu}e_E>u)h3T=#yjHG2`W@l${CcBW;X-cMgONrzS_6-q!S^Y6q
z+!mY@0le@(_>={07dvh621zQvld?wfVK-0n;UJ5XrhUrF%8p-t{?xtmobPz`=Sxk3
z!^Zws{{}ao-@iCR%PO}vZsww{qLO7XP>HJW>eZ{y5xXKRLa=EG<L;AAlMX@cKL#_O
z>@?fKw&(4&omU9*O_B<zmjMrv@h$o!2gm5s<K91toE#Lhb9_9{<l|$i7R~spn-$Iv
z1Zsz$)x9kADJC-RH<o0(8ly^E4J<j4(~lU*IiSV%k+lX{bnC9eb77N?tj^Tozw_&2
zF?k(7A=7G;aJ8fL{byU2<ZktHh`(;i)NS1GhfGCfZP$_u*=#%07@zHZ{+LG>NABnB
zV50cgdk5$M%%?R~?{G{+a&ofV+b5_}%Bre1qs`-B7@P{u;`AlO#d&B;9g_G8Ot&^u
zB}tWn*xSKfP;U?d{D^aLPfAKk;bn$dw-{-yWj}{X0baF>?i45I`T)1fA&G-%UmX)d
z&S9Aq<wc2hYrT)I__fkbL+LCYz?h+^IOSs%7n}9C{AdFuO77_E`v9)Eez@OTvNReK
z;cPD_Cs%2LhK7_@#kGU^w06-N_zD@fthpC$5^mW~UOm13v-BGt=mTH`P01EIje6|#
zwJ#)jG#4D~?1!BaVq*y!g4uP$rmg22Br;m}M`!?6h1-wBea<?1{BYRsE;D%0fp`4~
zMNj|eGmd0iB3^8JpR7*gPof26J9TPl+Q-GwR)jNl{I&UQ0ipNw+coT@uR9ItjyHe?
zN!DeTa$L)7xy-mT;{HiKpvNIREnsjPAS)t7acSw@B~J<B(2W4kl-d}Z^@fLps5^`n
zTh<EdqY^T^f+w{RUu~^xPSMtOplhZUUn3|Q6g(nPDdg~u<_?9^b92>(i>|hSLjqyL
z<Wl(V-R<R>0rG+wSw%_dRan@1;iOZF)9RpUZ6jg=_>SPFje4(aimngx@Qk<o-opO!
z&au&Rffd`NId%H@L$%ZI)&Q|fQX#?1q}LDx)3ozzKpT0GdjLczk6*gu<KkKi>@2JH
z9d5^x+e=?O72gY%QcNw^VgOxgKk?|l6*UcuiW5QGa?OpK6M>zK38EWmDVvXnno%SN
z`-5{F866#sj!Hk=?(VGD#Sl&H<x17tsRXRHR}V=38_2(p4$|^sp`=(^8u=Dk{`?S6
z(QMeHhW+q+9LfjA?v@8fI>grgbo?GM(s{x$;Zm`Q<Xqm)BLYh!31~-ar+PPW7o4G;
zo|0<LDhl5~fr8mxO#WHn2S#jZu0dWN4E014MHOIDrjc@F1Ta_#2!N1?2yG>$eTN&T
zMuGuNk*5_kG}f^GkO|pIeO~-sKd_{PRAA<^3L;=38`^;lk_+|#e@<_??0uv)Nj-ZX
z-w?rh@40eh`nwD_m`YR_J21(Ujd2a=g!_tf7e`wr-Nn~>W5m~o_o<nFVHRe8d0Ani
z`g5lAP(~P$bl5Ulm9h{D<b~{F(Vw@O$A43A>#K`CElnU3dF|(ZwGA`~zFVCi<%e*9
zoIl^Bs$ElAIfB9kP>Yk-M;Cq<rLcF0Ho=LGW*(?WRZQT#W9!Pc=kTcO`PrDR+p<#n
z0xS3=0fB*Z60yn2UD;;Z<8ENLd*69-5y5`EVDR+IWbBrvq2cgsoj4h!p1z(QgaRd1
z)xdy&FJ#j<0NvtCpQuN=Hos%rbGK!>oJrhyZ3+A+Yiit~`o^*Djpa8oD4jKU3J)vq
zrl62r?(^uKUo6!%rqwKxRC&F=T%Ryt`fPKM#rNX%_He7wXZXyU11B5v7l(^UR*9b^
zi;l_?@~_D^y+F+@@GJmQoVU_goNwrApw=tOU-BwuEMA@>7V~bnZX5OpIzj=cEA+y#
zoZmm+PQ8_W7krx&X>A!F#R+l_flWcMF<Mrim2}@7CSo@u#TxdiEi1#gWnxsDydpRh
zI*S+s1CWWbfF5NS$FS$qV-S1%06T8fJaXOGv^{J#cl*@dTeiuu0P*Z=yT`6RQusPI
zlH2tR>M^=h5!W+zGe7e*!)o_9fd((L`Sm+dk2V9~+rAwIhYyBI5gkH@ffI+XZj1`5
zGnL}8^Ud1~2jw3X2FqEG0~nxuGrQuf>FeuLA3pz!(5i(V{QB%cn{OjOJQyV_6Ezww
z8)A+2uz<8ON-(DfGW;(6%L{-5u{hSMsHoTg%I>dClwfIR(j(UIJ@RicNFS}zCe5Hj
zZyQ;ZFnF+F_E-O@woSz<ihu7_O^(U!*yL^U1y;XK<Xi0|4_Wp;;6L8;fu^eR@a!m>
zsD7{fy*Y7r79MWU)vv2vm^yy$Xh2EQIYI${V@2e8RSok?RJ}y`8qaE16Fx$*TOUjm
z$~VE;+Km19)|SfB+nQZknBuBAAj@_C%fl%@w%(=VYG+P<EdUw5$mqN@nXb=t+U(e>
zZfazmu-TH2OGli|WWX*j`R%Izcm<A_aveHcE6iM7K|M=iRN4O|o?OV7u0M2U`N#cF
z9=&6_>Su+%zPhQ>{KCv>^mP?i``TPXJKgD1HFYUY36{mq>(R3G52njRuRJ#>qY@lr
z``3?k%d@6ZjX01j#;Mfg+Bb9E`sm#7VGE&5>zgm^!dB)ES(NUQG|hRNmp1b;SrZ(j
z-r{6L(|Z}?@-o&(gq9g0Fj-6{0fDxxodYpjjBKoSk}+6EKa<Tw$0p;+!DA0zo7DDx
zPToMVo99;QeWe!s)9k%TO(TCdLz<6RUS?#EAJN`Eln?dw_1&`L!1>~9pkZGrw`~+o
zkTu+qAIbTd=56Uc%iXNjyRhhS9!-snN9@@MtAl|IQQ$a|bB?**FK4jnux>X=V%SaL
zo{rT=y2^+4CTu-s@Z0OqmT67Ah4{KJ@ZWF7_#Y;c|9@(9`On(^$J{~0@&At<E*Dmt
z0VIBZ$ZLYv_s`h4jWa#*VJ~^9S#nmi)VxqlIQoE6rkVC|yV+!SQ6U@(a#t8z=Nlp>
z?5ocvG3>i9K*&SHm%z?}$?e5j`wx(hk0q_ev{24d(S`0SI?F!yt5N!8=2Kt(u2aCm
zEi(hi?oCdGqcP&5ze;w918t4xKQK)C@v!u@di~#qwIeFKm7Yv;?$ln=wH+>8Ar!M-
z_g-@1PFkj2+(qq&Kk0RSnwjC{?=D#LmC541c|B!?QQ`-9R^i3&2w}UKg(o}IPl)tP
zHAkmBB*=MC3Yx3kH%|wIg>|B}ZIBZ-`SSeGl_TaCXRG+<fZEU!6+!i1Xw{E^s6$f%
zR<C%*Kjl1=vbp&*B)l%i*_y>}mtxS(;HAMuH=^@k1si$i>kAa&+F)LePrC|GlWIj5
zJKD$x4jiZr;h#*(?qcWSN{)>MhxRYX0}O*763qvOc?f->NzMhTUNlBpxfW1ALC=5#
zGhAwoKHqdhHqK-URB+BffcjysGvI+~O5~kq`~b+J4qTqy0UJX;;0)X5(BZCx?E3(!
z`4F1@{47CPp{0HRZi=v6uoti?Mt9)xy^`O3doIho=v(88CoTdag$sgcsX$lY&t{O)
z@=ha)=-Us9+CKoq+pFQAVHBpw@u~lPR1{0sCBpasr9dO)B`Uu<D9wt>%9Va5@(;9#
zd1eH-0w)TFhCIzgo(`&WJQ)={BxQAJ`?jEa?v3iY8jr$UhTjK*ogoW%FV|wFJEuB<
z0l)BMO-$Q<y<@7Baj2`YO>s2!>!Ne;^m+DH=2VqgT8&4>)Ly$DyI23!sPLZ6gIa}6
z-)j7vVR-2Ij$3=e{a6l4Ue)dLsj5GuHn=xU>n9X-JpSDBP((LAWq|n01bQhRr-SE2
zcDNHl4<V|8zOI0SC{*C=0na8bz6ZbRBS>>G)2bsuuv!qxKjbsfxq3-2H>a=4*)Zqa
zIb$gI<VKC2VXZW*6F|Z@^Q}#8+_-V;)-8}jaO-SEM`rQ!>vVtl;;(PVKT#cz2$rM*
zdyb7>o3JSs220&Wrzl+AAedwnTej6bip77(WY+OCOI8EzkyGzP752XR`Z;WnE~2q{
zZ^e;75=*<UB0a@*`3lng`5nDp<L+8xU&y;%x*3X`E_=E*DJ)EO<o1muh&vA9O~ThT
z3Rdz)-AFx@k5h7^^)_x2V{Ut}K`a@EX*%Ms_=E(auOfUm^!&u3L=P*}>q>i=s~ZL*
z`zIM{kmj7r$Y`ni$X{z}3TG-gLevtYqwhii!(og|OnjaV+?x&cn_yboGKL9@L+p)6
zf^T=z4o7<=K?P6Pcsp6q-DYHt+}-{@FK>n5JRtBTBqT^ufe;==1fXI2+jkQ`1TO*6
zw4Id|@r{Dc(iE?(A9};Z9)2{Z|8m|~T}>%mAVeKGk?GH$#eJ0y%5sKUeB^9!u(HfS
zH~oS5x(_}JoXsS6!Bj~VcX5H%?IQ}2hv+@a6uuUI&ep@HhRgH{Se3PT;@7LHn&Ay#
zI?=ESqXQ%SBdnSG&DkEvDU{1VsmAfSuB0>vt-gulqsvmS`;#Y6m|bD|$nJJ_XpFsK
z)m>9pml7ZUtn4<yRncA8ZWsQhaqqc-4J<R&&!usMuM0_<o?LLQoW3Z)a`N1#^&U#`
z*!;X}*N(mXTK}iAyb>$xu2uFDOW$jgY1LtG_3THDj^pRG;k3e6M8sH4gg6-)0cKbm
zneeYCy4-`ppGZ<6zS|L^FgYN~(jAv)2ukpPXXpLWUEM3q*<H@7<KpDyIy%h<Hwt~|
z_U~WsrFNlWcI>C`zWQM$yd<k!@4Soeu9JFuYW2)3YNh{I!;!5Bn6+KZW3U#$uSG2T
zB>YBIT=`?ZGF*oKHHKPgk8f5EEqh6u=r#xr7-->BCti#2IdLprm&a0nlDXGIILc-s
ztVHcyaKFT1ZD(~oqvLAu%>^S0+RchJZ`~4vGFs;}VM%l`&?bz_w|sodkhr_sak;)}
zF(;UY@#dbD2fMW8)+hJ22aIf@RMEESWKNhg=WS|Q7GF1v5p&vF{rctb$A|LXK7VW=
zLCHv5=UKqU{9oKdjZ<o&+h|X+%*U)l_J)Qtid>CAg-Z`!1W{NRE(fj=h75G2ysl^P
z_Z?h0JrH=Gxm@vbF@ltUC60@aw}-kl>U4$_IM3f@+rKp3Pj9kJTAkE}q)63^u5auK
zB=)&)SKMhpfT<+joJKQ=etH~KFbNykKGhNg#(w_+Xp%V}dgWzc5lP0u;jaHB?Kd7P
zX#^&~%4%NMN7NcNG!{}^RLN7m!2_d(d4fkIPH}LkqnDE5E}R<-F{=&YiFxy;2ZvI2
zZ6+}KTo!l&wx3#$+7)iyvcsD}pMtTOicd&B%yakJT1)__#sSFE2xT^MUZBJfi$g)E
zMI{>~5=gm$n%1{Etr60y=wne0(M>_7$8k?l&*pMHgY<|5*yJRdDI$Nda$C?0#a@%U
zmru;>G&?oGSXJL8FBnec{`um`9B4za6E7K;S@wEV?^2n+^Xn%|+yCiUk6d<!4%yMs
zL1+ueo5gDb+(Zi(Ao5b?1GT!v0cSAcT8`6YpgB*&0tHhayap>@_=^bFgy`~5KM<BH
zuwNO`flqbr`HK?Ej3n0bYoNy?C9i3gwe?Sh1HBpt6oUPYgonUI5tIr#x;A)XXe7X_
zz&eu-o(zvbFeo=4`dC};W{WEo37cKJ{5~s{je58HD~WK{_giYq_wK1k4a!Yld{O<G
z;k&@1oE_)OYI9~UsVwDazISObq@(wHx8Nf#K?QMesUd>&V0AoO99DOr0h6*H6jwh>
zCX{sh3iR$`c4gw;roVgVV+XyHZvrw&bj7FaW@}i)t}CW51gLuptj~?TGG*UZUtd0U
zXbKesEM^||Ns<bQ2K1I(aSd8iSHeUi3{j1yq~s*yQYyjUnjKNqv}z*Ur@f`_Eu<&5
z$X3zv5u|!a>Kee0C%2o{mS_8mtJX$~Nu%>E+Dv54ldknx3&cVPh(p3_#?4)f43hva
zj*~U40a$OsBPAmvGg`Qx9Ng%u{p^bmQ#am&^tvyZ&2WEGlLOKa6PnvFi1szSEv__3
zKYl$)-2Hp2e;6boZ6IN!-W<znH>DT0zBm44H%bApN-lW7zAJhwyITd>j&PT{Q&Tf1
zY8R8h`&flkR#oj_CfLo?o2Ru*&6Z3{+i%?Es#BEt`e5q|`|s7&v3G<@8-`P_jjdBH
z{#kjB|5Ikc0s6#|XH!3;n(Cw!4(PCEOf_eM#SXQsU4}xvPvR85*x9ACp2T|h-Cg-`
zLcce~Y25g?|3U|=Gfl@T8+;yAT4iM=NSZ(^{$2the9)1UldFYsujYJ9d-Mz|tv3HT
zmeyN_(6gs&mq%2KVKm7Ow{A0>9&w;TwcHJGv^2<HEC?10s;K^%Ujg3_6rIpBeP;HT
zd75&O`FZXEU7pBpg@)nS&vk{0S~4q^8o_NPjhBtUpVtYECgwFQsv!yq7Yk{%n4CWl
zx$&rZ*+4IUMa1fn#NFZ!CpLY{$bpH|Wv!RG!Z{vzdlw+BhwVf8XrEgf#3mrtdXRA*
z84UTb07VcSPq>}|jkc6>25`=3iAPphxe409eu;zFj?#9sFR-M7vzs6B@6dh<bS4UI
zb2^|7vEjDk=g*&xU|;{1Y$12ecbT*#cY@r-2|2*6rLj2w=+PsPuGELlMNK@B4r&JR
z%I(;@gV~ie-1Z%~=d$LIG?mFhZs%#wX;y|JxJ_Z=^l)VP^xUfh^-7XTP*4z3T-97&
z-{JAlM(;q|Jp{vx%4tPcTUF&*c3VHx{7a13d>noe7}=JhOh8(qp1)1q=r}kd^2GI;
zC555%_Mk)l*Ys_JMGq`@)zvdz<8#|7dq3&j0A+&Oa71XvilEfW_et00w!F4yx@lz|
zUw!&6uYPz!>i|)P*>%Y&sh@CXgocLVx3u-ugR3UN9^pn)v|M90`19w*v@Sk>@jcF+
zUqhqrz9&d}n^x$eC<>46wyg!aEC(9&-`k($93GL&R<z|yMf1v+mrwV3*HniUUTL~f
z6X6h39Pnx=CpP0roYx&qNY>E!WD6aT{g5^K9#e}MRJ@?LS{c#oUg+<xmH4)pBzlj0
zYQ#XTBS1eQDLM9P?_)^UH<x?eUzTrjJm<92^pEcA<J6CayI<XdV+MjeMD!sbE|ljM
zIJyyZ(EW3|>J*U8!KpI4MmzUkZ3W2c<J5-GBFo8xwnV4Y4K;xKR$5eV=3xjD4y5HF
z!e7cixYW%iAHv7kW<Wg*oj6?Fg@m*Udzla{5C^mzwyPB`{%;Ph<Db;F-M#m-ua1(F
zld}^(T(k%0@{-kd3A1MQzt^t|pU!_ih#DeRzg|i$-T`mw+43U|fHZgrldgi?3EiH4
z>W5~ic%_sd-LDPWrELo$QG9=OhlhtfsCH`3;dEPJM6T%ToN8iQmA5A3%*o5Ct%tHW
z4ckZ<n`l;^2>N?ZPtfM)<q45k4XmpC0P}Oe(N03j0Z@I;AWTdiIT3Y&gM*M*mj+(H
zG*Dco?QQXTF72pNSyv~1Cz<iC+M<ZKrK01G=YC1^UdQ*uF@ziva`5>O87#Oc=fasp
zDxXdg%RFHUx_Vk_iq;fZ5nR3FY!!;E2$W9(PFA^YzK}-BJ6lHG>^e2I$QZ76p8NZK
zHMLfU$@dGNMjlhzkm|@g1;}d#{TsxB!~(V~{mW>kV5_DjIvtW5Mi|ZL=VbrOXcoI@
z!Y3{+?n>xwesV%=HN4HU3+-m^G{mR`fCzv356n#kM?{d}>}tf9Lv!cHzc$GO8bkfw
zw{PEPvqNgPZsk50{!X}E(cCcFc@Dz}iB1*{uW1;eXA;wEjaC;qOy|4k{}-bei^AZw
zGrGt5(Zb-p(7rkVCIhvdmvQ9!ieKMRDy@}Twk75TFp_~&X2i59A}|o>fwow99U?Ja
zIgsb`SBevbBTmubtcY9@c|PU_rVGKo_kbK44uw1WT*_bM$)=<Y%-xo(oKgAb{y<WN
zR6>Mb6!*HEK~j=>p}o}_6Drizk;gBY%DfhIs#q4_d&xFwU%)U3Fch2snO(g3M7lud
zSa_$xmy*%8hbLnB+8=*>BIF@2Gsoj46m3eRi%V9=BlkuC6X?S{%6aflW24U5wQAXE
z&NFgZ&HUaMqpa`U{WT_9;%zk8A-tX$B~pIrL|fcA;&h3a_Q*>i^o}cxc6V4*btgOX
z`AL*q5%=fqbJ);hfQr5llIg5E62TceCU}yYJMX60T`|X1lP$JK_cFz7bcE#ti~&^2
zew$gsx@!-6@BLIj5PZ3%U=#j#quZW`|2Ddb%as*B2Dfk{Q~so<bisi0`U-Ei#ahA)
zqy|(j2vs*GJ7Fd>fupmx<jHhI0AS}06%{@N?qy^5%)OJbQPr={_QM0yhOQpdGh%27
zm@Jl~N(>(K{xex4E7;RKUU>6#GsGP<bmK@ZFLtnor%FlPQODETmG0sv&N<)+(NE~6
z-h^c01JMEXFC4QG2x>W#rW)fPf^1COsE4-81A*OkLt%J6unw*+&Yv9$c4{x4otlO&
z8}Q?Lnq7EK)ZTNx8=`JV>D^U2_o~<G(s$iG6YJ;uJ?>n+X7{M7p2ashfGP32pkQ2n
zx>`>ti)H@l5}u5J?mV=dST?{wA=mp*WLVTgpBf!8Eu!WL{IP45^MI#p(76Ff!@@Aw
zjB*k~63H;IAYiB6mw?#4(00n$HD$I*kXY!ih4}U)?wbt7vRo!vo!lZjUehSnRIL-<
zX6MXu&c-(&*DTtcbIt4cAHz%`FCz-CwBL{obBM_eI6su57AKo_D7X!_5etCrMu%x)
zUZf(0)4fnLe=mDmLEuQ)6N)=+UC;JSiZiLUWtu%mbzB?k&P~shq}WZ%^mwCVDYpZh
zh(SnGfpC*w4xB_s61f;@ytLRjU3`KG(Kya@dvUUx{L@cf3%DPQ(};6OCnUtL)tskj
z@8w$m1$U8~c+EA~*k4{@yoH$p-WH7p?8)ZI#Mic0PP_*ufcgwanlmp%O!$l#EgF2c
zALrmm!1>yxepRroeycrqmz)S~aG>p%lP5lz1f4hh4j1V^5PTmUof+YG%Q8W0?0^Xb
zU`uBJzB_#saV^AN1H<{0-QK@{|76js>00s(T-K=H(=HIiEa76EF8>H;UTzTO#};Y6
zI@&-biOc66o+rm$JjcU+sB$Xr*l;Qp!RuT+#}X~_NzY)fly=olm5T7tBNqCZ9|fg;
z=AWk3H{eXS!stOI3Y{bsW_EzHJi0@&2}e-3qh;Et?CdGI0&1RDKL9c_<?oB5S3#Q$
zjsdR_MT6<dU6j*Rg8Eq4>qc)1zavcv<VQt^_ScOWacfe1ulY`Vx)m2xOQ2Iw8A^-(
zgsKl4Ma{(wa~ug82_W*c2&20+GUFoRdxM0fsyg@^at@Hb><R81-oyC&WOUu|3U`S4
z5I}{KA;sW?YVopYGn0D#h&(^V8#cq;^}Nh|A>7UduX`TGI_}&)6((%sO+J_kU_;mt
zTwlPefBW;(=!tLq;Ds(0ssGEyx2!&sgMCYe76^_)d$p~_$c3Y>w$_{SMOXCsW1j+y
z=?vy9yx>6%wHpkAo%<FHaX3ibIO_0JpSPSg)p*3<{|E`9CQLXRtYaCSb^+!;j_=fk
z74~I$$4DU^`Q^Y1x;_?vguA2q|1FoD@Jxtq%V_8;pFjX8G_)poI7AjO90vzSJ4!tP
z-`bdj+^LzgAo;uObX?m&G&X?CCU-fd2JHHLrN3U?`XZX;b<m9p4Y!v4%08De7aN|l
z`ZAv#*v4h)cXdVW&kxcIKckkzn$8WeyqrwC7Wy``x*1c%0C1a_U4Ij|us^`*D{2qo
z7A=Xqb)g|+nbf?_$-NHn9$Kv?fpa1ZgP?4PdIzo#Qfyw=Oy;G<m&dQ1%ulvQZ9pDS
z_xqaIcx`BItTlb%cEi<)UdO97V>OsCYZl`YnwIB1kvY3|_09wfr)BpwNe-uegS#<T
z9PVAVT?qH^HnN=vYg0QG+HZ8iYEIAI2-74Vcky>zU-ZZEoc+i6qt|W#v#8VFTVt-Y
za$g^?P(($mm)B=Xj?jG?8e6}py|F8Il67S(#RXTfty_LO*cPg^;Kl+G5D*gLFcfA(
zf~QA-=q*jHVZMI<{ykO`mZ`+mm0S8@^Dv`gFoEdpiRp{tgJjtevhHMUe?si!`m{^h
zOV<+*FHmfuOT4#rf8(j^ceYhZa!({ZZSu@4d%wd#-Pj~aB`#~>MpAaBr^@Q3^=Hps
z#V2XK$b5M87`uVe<{Q@ar$RPU5!2}t{Nh}<uF4JmbX{^JZSkvf92AWR;^C<nt*!=u
zM!J9J)T})=9qx{j;fA)iy1IJA*@O|UJj}Ks1?Ae!4q_JoxmieMXE-^>F%4dT?i03d
z`-$A4<{{N}x0j#4ad2}JSx<t>-SO$|u!SEN3AP4ZJkBN=<1w??&Txb(NTfnw8!-2r
zCGV9OLsuNNU|^)((L<QpH)&HaS;E*O7a=CPaCqrQ`Y#`G($bG^{sh0A^@0WAJ4%!<
zD&sqNbUopuO0o!eHauOZlCHBb6?^$K#`SYJZ#sAgf8yQhE^@Q1Q1yy~`S+{IQX}kp
zR1J2eTjRrdj^tC#uk9=6x6Pu7{FfKN%|m!cOmy__gJ)nuA0wJb_@>SPL#dIriS70>
zBF8zM-6p#KOA?>{`yWLsV9u4CTWrhd9c84Y*~OQ8?gu80u6+*cqqPscr&Mh28cV%z
zk5=IovFplO4&~XesOrq8rRL%|`T1>7(kbOCzJ9d@wmrrs#>11oK)utr1XLw4-ghLe
zmGEg%lu^(`gpZegmo=|#Hz7w4YUW>7lap*ux3j#(t353e)y&)Va?5oG_dh6H-XPC=
zGl`SZ>%>6gw-TH;%vszM;%_js%R|g**f%MwD!07p%Wee|K-i0*Hh}r~)s&#>D3ho#
zcAy=uCSo^JV{}y67HDz_ay7dMPK}D18mHMBen5SC2RnV&OJ8(Q90*?$sNeaq^g1oe
z8r}-d!56*)_Ds%8I_Bo)RJ|`&m9g_%{ldeYJFQx3AZ$cMMSb{irj4R#rl)ae_B)y$
zI&DYuvS<52gL)SBt$(B-eQf#2G_z%D|K5y<7H9Y8BNPg^{2lIsb407H%b%vCGQCv4
z#HinS#=+M0_<@RM`HlmLg`dNE4*QSnR(UzrG+!)W$kM_xzo%)xTE9mA;fqUb-nu(!
z9~|%w+W<yHHCZDlhk|s0*vQ=1uHoB9`(I!qNxA5DF#39VMkTQHQd;sXt<5v}U*>7%
zC=s+3e;tcYSo}&EUuit~r9jXqZaTEhX!swi9=(N!S2I|4V*2LrVT|G2#RTy#6>17A
zE9-25O-rw6iWc2Ngfa`*MxGsRT*W|jr8rs8`;cNogQfdUkGvy2G9y#@Eu1G#48Vvc
zBP*+k`4EEg8NEZyPz7@BV$LvXikCf+YNG@F$+W9Luvv_oo7<YU6s`%nZ}zUw!gcx2
zHrCI=QhWX8&4UsLfjg{B6ciLN+Xha?^Vu_i4D=iOOv0@EeSP<?s;z*4RDu_-<MwVg
zkH|&X(~i5=<1=h3?Wr8eE9V1upK;t<;F#<6&dB5aDt7lrX6-yg7d}Kq-N9a^zFGfx
z79@oe=n7Q~+(KlMETSlqc(gFvHu>TP!v*#Pi@GsjWhxyA0Lry#FoV)a0D<&hWjK6~
z+UNe~W34M5?T@VDng3wT`4V0ESXs%z%85(va2>Cd=p~CM%?2&WLf@R9^&c#~82W^x
z%QhRtXY7hd)a6Wa<MnHOa!=+Td`<t3X>?m#r<`}b{{);(=)LM<^Usas3wtW&)sJnB
zpUJf8?>>^*cva4%u?d!?mc!vUUjzg!EcN@8dtahBFBiD5y@sbR$lNx&K2EQ(>3mLd
zpk_eup1Kt#JJRwYM)yq@e@^Y_fj>3x0p_i)QZY}^Ie~UcfB=L!DCBO(0(J~3fgDLq
z33aEzq%jxL*7g4EhgDTo#LyA+mF76#xw*L?t3zO3)?jv1HvNE4^S2uiR$!y6UfRVl
z!V7>Hl^0w7NtiU{cv-F{zJ{Ac%J1Zf`~XRr%3q@3KvRqV(0K6e5~>DoM&c+VeJ-Zb
z@gjDY47B5%>RGNd-a;d>RDm}Keg_vuyI?;Qa{XZN?H$yG2hf8SY!bGETR`a{YD^(T
zQGm_969(cb1G^9PZuohjX*?*E{yJgKuXIT{4U0Oa{4Ry$8GR5HY1@-PZkDe<km!d{
z^L>|0nLxETlEeLb%hsF7+mp_wX!;)`?^6|Y+vRw`yVI9m;uq?Ll2h~L$TpXFj+5pw
zB`XQbiLb)L#f%zbX-WWv352>eg)7L{A}k_D(Xr3lPm1gn$v5KiCYC&}{&SP^K<1)O
zD#Gn-Xj^Oox)2~p4$4B((P%(lVkUs#`lggOTzAOjEXiJNwo9ICobvl?TWs{FOo5eO
zx}bKGE#K?u%@+($70ojlDDAGI5OY0)UytLB8QMAwNPD;Hx-bxJ^JV33*LYijUf>6g
zi48)S4@LAyP!WR?DK6`yNQo(ZoIW5-3EwAJq;TlTBU;;TJw_1P{N|(F8SQ@&hENQv
z%swD?4}|a9l)HEb=tzus5FXIExnQkBFG4~H<q-7k&!M4~Ot;O4K<-ORSK>GOX?}gn
z`|}qeun}Sn97)r#kh;;xVaAYn3f{WC<&5-6gl?e@bqMx0!n6&7t^6e6j)!><Y_2|b
z80nHwyvSP^EdGvNMH`e=%0ddUlM4^(F(BYhLyYMM7w<KHb8&1avzs|m=%K6HP7>Pw
z_H46aNQ-C<`#}!J{b&U<Y}uk|1Hwm;hi4Ybk%z7my#*1+68qG}+wA-Na%eS56GlI=
zw-pK%dHP+pl2ve-FOb;b<uD$<Z#gDs<{;mXTRG4JLBIkl-=}(uu7+1UoORFPCX%Aw
zSr6g;m){Mhf5#Ne?Z>kqzSjwk7Kn-6ItHl=hxf>V?qDy;G-ny<4mPnr$}6JCUv9|E
zi(hY?UEz%XD}K3c^?vJ-%vYZk>CK6*5k#X4F(FO({GFYhwY0i$RLJGxBy%JrG`Cl+
zttgJP<*dEXF6U0~G*?-w+~W}!{b@dLd9c}P&3_>(f3kLAUHqt!d#i8{2j&FraGL=n
zFUOVP7=rF?Y$TIIHqQ>#X{X(h^0)MY85{EeP%VEWCh+*GEo7`@1n@j!6d*Dk;6K#^
zs$~_*DBK8e+2(-!M`A$v^ndjV3LQuD8{||@^)Ite128MK3>W+op=3ds1@cEtVCUhn
zL=sKaz9<at2n;qOI4koxjmMI^mDcH|{ZkzEa1J43Uo}1CaXlstzvG}olI^Wqt>~pV
ztY1HW{#=GD_vcI%xA=X^<kJ(Pd?i*=va+3Mog2}g$b|(51T=#N0=R>8R8Hz>0MQVE
zD<vp9uWQMe@09C^2n1>%9Q&!lob2K{Vh4CWJFA7zeN>IDaSp$3PJLCAQXJO<K{E(B
zqf>$(<&3)zV6cT37Hy~tPBpVDQs?hclCBtqPBHj4)`5Fj?5R^umq?njsEf13Jbe7w
z{82)K&WAy#H_0_d*IOPdcQ{!28|4VZ$w_MYov+@OEv9O)pKOw0tQuw@Uglr^VMA>R
zvn!G+;d*V>2ldaH-Qk-vxvs=|YgK;S(_`Vyo?OXre?nx!2Zc$1n;6Z1cgfJu5NY$8
zynHv1?bu#`NE4_h;2#Y>#v6~`UrS;(k6EJf@vF#V^i)5h-~PC9XeCK(lkzHHK$hSL
zdD!@?BK<d^MNnC=hul%!a6#nU_Y!T=@#l721?y5tZ7!2@QxUAJIni5R;iHnLN>jWK
zrCSbEN@mMR4O`9DXmaJ9nzq`YeazjMf=S{auTdkkc|Ow)0kqsdvWs=WwX1d}l-zF6
zl{X~f(Hro0M5wN&W*j3vGXqun)vs?%x8FnZfD?t_MiJS#^Wh$H5aC;FPHZLkTCn?o
z-XN@aiii!z;OH1(-o-({YcWG=fKvrRpHTB*;`pFbiaORen!DBgNbFS&jO8Gi#P=?E
zy0IO%uwr)rVnqACjX5eN24-8E@wR!;v*Va+L=%JPN|5B@m=MhhFiPhFvmg#fLI9WM
z3M9@X?P9S7$`v%5=yd1c3di7%IoX`W`;*7&tZ!goAc0Im<i?yAH(?AS4%?Z^TG>3f
zWr|Yh=ijI6$m4F*Q(|zan7mpXc=}cvh%|ia(?HH3h+-gxetmg7!C}XrR;xEfeJad7
z7hb57lOkRze*B|P;8WA^nVYj>*IVxLKJEW=KjyQ-M!4kS8(y@q?6NNLTHT%`p{te8
zeu=~;X0VgK=kyVYtLWZpYsE%lBjw=JMYlP~GF)gQ)#@^$bS;C@>uZyvinNr}AzmY;
zd)k^sj>{|aqu94Yo<-h*gRepM8X{?U@l6XIaWTG%v{ll7CoQ>rBr;jQy|S;!Iic=C
z6R9mf)x`U%nA0w6qfHd-8CARMoJBkMgxA&!ub1*zs_DB4ySsY!U*kKRlIYD)ETmVN
zrf$}Gvq|_Z`+4EMr+%1~YY-ede^cjU;KfRv>4I~=4O{h?#47@Eipz5_--ZrLv~_@@
z{uM-q3HZ}-dOFkeWYUb|LbCbX#S0lpg(t^a$;Ht&riZx3_LvHAX2gvr2vEyJKx3HU
zc41S?`H&d(^W$(0d`K4GE|vQ*gfO-!dTlVWKG?nC@9W7fSji3VV`MyJJxN`~=Ps-5
z$}KHn>RHdrIyXY2;H#;=NuY18p$;19Ivh6YMUHhCdG+*67qY%*KKCst4_&|E1;vy9
z7|smR(i%#GG<`KM&O~J!d@FJxBeEPlsCwesVBwCw7NlSqg2ahQ+qXI+f>EW(Jtr$v
zV*fl<RDHO#*=#58#aNFdx&AvZLLRc1UR;%Ln0?<C?WLnfFS$$Gf{(CW@7eoNF%u`L
z7SoS|e1{Gl@*1M1ao7AL>zj1_({;xnUbm#~gGNuU)2fGksW{5NL8{~FLPYeCOr|V-
zX(gZA;i8}Sh#TgPy;9K93LiU6toa+$ld{2c1Xt~PA9agxZB%ekK8#KTXN3tnJ6wE&
z=Gs?t2ZfiWQ5tbE9r5)r`oh2Occc0DrEZ)5eUsaUf8PrCpO^k;1^%-F|KnHSsA%h!
z-`Qi^BIbyIWPYtLb^~6nV^&y_iW7fF--RMwhpWLrtFq)@z?{SOzf(&69fEB|-x>;y
z0JYl4p!vN_AmInY47?ylpy(6%@M?RJN55~N41NP%NE-+M#B4ESCL_6SNh*w^!|k)W
zIyY?jX$u`j4GVPGHzSo@`Fm$%r7;EtG~^c;xQLDxZAtM04~D16vk_zwOuM+?iXWf_
ze)IhsDK03U_?`0~Mn{6x28l#!t#i(DSe#h0|ACPnTo}QR3*Nx_34H&K96L<=J4Ifg
zO@)yOj5XNZ7?Nh;^cQ*zx5G1OGt#}Eg2K^`3U`3u<!np%{b=I4T*&LOLc}0DAUX9i
z33p?@c|`I11MYSp?6qLqzzQ8Q$p&%~gtiCg*dCK?3W|EAZNGm~&xb|A7KY(5*^6}?
zs>#Fz5$!h~ie1C$ojRS~9~@lLMkx$V4ZMHv0M-q}Tq|j-=)!ycpC!aTJ^Wg@JQxC#
zu}j~I3$8CnMi&d~GPk)W#nC+|m~}<;(JlwI+G(Vv$@;ff2X%g=_LeaACR}076nOag
zN1;w>uzq;!Ipb#U{Tvc@cK2>4(8~R~dHw#JUSOuc;OmQYNB>^K(stb9K|nXj>;!kF
zwH`{M&jI1}OM&8Py?7UOu^LU*n2@dg4fEG)rugUJ58gEkgI~>jhsrjvTxjhooa}ZX
zU-1#wQc<v|_p!z>Jb-GGkBCL}e$_cNMj3-Ow5o2u*X<b54i;h+_LGULv1)54Ft*1A
z{DlK?1UCorW~Yon%>reZB(e@!*9jc11Qo8k7=C?L*C;t2kP~b_26~%`nXHM9prD{u
zn3FJcL(L$Rf&GW850}$C;8dN0+#>*d%|Xh?o}&-q#CgM=UNA1>CJ%r<^uELmS_7|=
zZ|mW&qUL>{*>wvDFAy4NH7aHd^W!E$|Dhx~t4&r{d8y?bw|qWKP0u%mnZ-n%05!e@
zKgndddv76slAy7H9#hD5Cv2>kUsQ);2C(_*nP`?=q*B%Xl(&C$sL#q6L!yO&R%%WG
zD(zW#ba3~|3Hv`N8nq4WUZ3G!i^$&nZOq@Qw?x0>@sQi6ZN&`xj`l9#auQ#9(;q8?
zA-oxE?ZxECawhWFe9J78vp~M(&}QXh#4bL3ifKJ`ORhBF;l)7tApT$nvquX^d-56@
zc3SrAy02d`W*ncE0J8vl42+{33qH7uLEEZHxrrC7djux+VD(uXZ>Jkg0!syp9upDu
z_yewxh0zu>@RMNegbcnw!Ez(+)@x`Ww?ynd$HSvbhCwkzz`PGE)O8h=0}=)hh0srd
zSB5Nws||b!(>dHz<w~=62!kOY;!nb|DdGe}i*oH=+VTrcZ}=Y1`k`<9c;d49g$$!y
zp>ABKSd0PpLXgqK{UvBZeIE<8qR}9)7nAv2??d7J@_kX@a$LaS**_VrNw^J#|HmVw
zEcYi4gG@qBKCP+zj;j&9K{ArX7YD9W?0TD#v(#jq+&VpxpJ`ao-)W=Gz%!WOLUy?P
zzWd2>=D(M67a07$-93m1f{4LwEL>b%gx!!4TUwdTfHA>Xxy1`~pj10@&K^I0oR=3w
zW>QKq$sUw}KPT~|gqxn(b!}}8qn@!Kh*K|!^0g4n9!}4zfB?{Sev~z~IQ200!G;Z4
zi`}6J$#JMAgihk%+1sC?)Hy<PbwhAV6Z{`xCGE(W4uHuQj1q_b6!4)YE@yz7gM)Gk
zr;3e}(~CFO;;j`!Y;e=v`@|iGn<V=Tc05(#RE<GTL|mPLyhx;0;!;7pJ?Yn5=oI)^
zr`Xtr(Z50Z9ceT<vcXZ8vAR?SrUhbf-|bd2n)&8rO^3N}T?cp8$F9#lp1LZ#=)#y7
zbzWmN<;<wK<Y={P)8-d{RzZ;o7<Q<p1C8H|d2ajLMHM4E%8<!kTtLGN8&wf*YLlSC
zTB&1ZbbU1xBl%R!;6I>*GP^=?Q)#`2>r+yH&5b~+!%QP69ClNEsL<oc1?xSJsl6FR
zg}nKN<RR+>6cKka5^SjMFuZthwBa(0JV?<5m5Cb);GNE%k%=Q*(l~@DR;JxW>u;FK
zOh>s-or*OUHNV=?!*VH1MIWv#RDlkd9|(){CjNSG8mfsmzoDs}bQ}^ke;|{Ft33Z~
zNtQNSlzomz`oXo~LS$z4`8A_I!iH8d1Von9HpXu-plJ`_)+TpYT7?<UR&l#z*_t04
z*+bNw3ngI>zDuRLz<K&UTywmua1~csZe!j_&v!aNnXqG7yw+4xBfM5L5;#ButX}0%
zJ5Yl2KucJ$zsbm$BQ8ptCoW1;Hm%2V5!br8en1ZkZxG{L1L7HNdO$z`<6Pwkj73Sf
z7!J9Rvdb^*s0V#$)Kgt6TrT8>WlzB+mx%FHHeys4B}IY?gBLbx*`^HI*(_zy4nn5-
zC}I=nR9trn_Xka<>glLTH8xS4f2xc-7%Qv#Uz_XQo_M%OWsgn0n)72dU6RUNByRO6
zEEeq;ErEoNRyHs=xDC&PTM8dwVgUa0Z-3R`(ZfJ!(MVW*GwdLmoSSuoeq&{V`3q+x
zd15{W67>wjIC}pGNDi>H?@ko7UR_1$jZDgt{^xUGwxVdYbFvGeMBMob2Nz^fCg@-|
z;kXKgW#Q(Nr94qbCy2iE{HE8e_nSWx^?vuMKs}JsVPpLi>gCXL2bt3TVrQeCE}LVV
zlt+6jt17dUW^d+5uH5_f&Pmw%4*Y-WzQ4=WUQ>7=nO#BpR!&|_N%%24<i7LJUWbWA
zD3Zji4{WWEH!k6RO&ST@m;vZCn)~_j=e}$xpUAyU^<xM&uG6P~-*H=2MQuM$T;>YX
z4rKag*e9m}4()BsW1vkj!wz*o82859_GeY<+sew;ryhnGc}p0UFttH=*oX^T@g4?L
zNrbYAXud2lwTeZa`^bi$P*+{ufgM;E?uG!5v#&~a_U!|UZ&c#B=}q$g!QPvP)!4Re
z<11q_lnA9_AwwZFDH^PZN=dUujha)WQRS8?Dp5*Fp*a=OpcyGjG)HM5qIn)Pe*2la
z@9yV$zwP(OxBdQm*Y<3i`=Qoa*L9uec^t>S@5g@VBo+u2>Wrs_7v+R{C#-VMPq3Jr
zfUd)C4gb~}tNEmAytx$-1WHsq%Il&@<Ea150S5grMvDP(n{z)}pbbvP(ZhJ}83HP#
zQR~^eANGUH1u9k$In}9e)L#Dsda=kzsj-n4>K{Wy>|$TQh**T%;|cy9F{4>IJ@n*o
z_g4^yfx>5ux4Y|RI`rVVFJ$EWf>VZV<ng#fr7_F5HTR+!uBv{CI|K4B3qEC29S+8F
zQ+9p8-5$H8CM#FJgjE(h5UB$zU}}gO`OekeWg7u7nZA9a;`((y#p|%N=_gg6@>hea
zUX)hOIqmRCscR@tWeO~Czp5g?3gT*4^dITiykSvEL2!)jE$v4Zyw^mgeQ*fZsPaV`
z@ZL{6Nz#P@o7}y-+|fg1fA!n7A^*x}KRp*fYUw|B7zyS0K%!d+tO!!G2jYR2YKXaI
z56)FdN?W)kcFseVp;mx~-$)k#(Zx<FP>9U_NP2ukzHs1`M+h_vbhL0pwl89*@C&{f
zrS0#Mm~b03-n)3Nt_bjsja^DpIr4I})_5NJfQv-dbC{mGZ(jzE!iA#OvR*+JZ<X1T
zFL_QAM+wOG)43g8yCFLz9VFP-#Etosv2p%p<5Q=u<b7e&EV|FbrtGNXjK{rj$(mh&
zpWa+wO?=|u$=qJ@;5AzImCuAGvqwvMI-h>Xy<TJBa}~=2XK;5L+fxKvMFN2?3;*I_
zBlZQE4mO~cDk3<Hxy1&SZrry|b7WbGN%98<R#QFQOc*C@o9Hj`q6FP}yo_VR%%u?H
z%|p-95IKp560QgyUDd?<0kQ|dPAgq-Nk|i-A|gWUs!lAFp9HW!0#rLWEo~UbC##@^
zx`jTnJsLf7?`=Fh*9Vt>!_OzmeS}XfJ=M_II0f8i;R14;po<G(5|2j<yHr6zp>Flc
z4FPE{r9J1x%NwkXAO<ja=Yb1K1d0JU%N2J&zbSY1LVouzTF165Fv(P;?TxfkA8@>v
zWdCW<#;=mXzD%Q{DWJb~s$f`up(e$0pX*q%t(WnP7GN0YBF_7%PNXh4Q>7U+BfcS;
z%gPd;yjC{ldEH=JKJM>(Pl$4a8{})lchn=0%3fi@-RMK#PY9TzN`dQHcQddDE90#p
zB7yZ3geAp5<RZhvm6hu$%tCvmeZwkE^&crGAs~QI<jU~e3uDyNP>L)~NkbvW|LGa!
zs^m+Xo`u~F=^blDHFQ^*3R9Nql?Lv9V_ucF+W?AvVNqu(9iKmk9?u^_d9;2gI~Dg3
z_NnX6PCD(d1k8(Ejp_m7LB)0A4BQ71TNf{0j2rs}=r|J%en*6j_w+;-{KBN17@R<*
zNmvUcK3aBkWB=lr#}VWpQzfMxjvWXEuKCyPnteF{{PVIp#7aNlCSi>{ez{7mr)Ca?
zE$X`S<tqXCeVd1MIwTu1FK2Mhy;@QVdDQ4oom$k1LdheG9uyr~eQDnQYdd~3G9d!H
zZ%zaq4p;F-)cxcA<vm%?oIp+Cyu)Dv55{jzDyTSi@bdc9ajm1F^vOW>CP@$U+6fZr
zxb~#X%rVlPm~Lkt!YzI5SWf%1A{srqcgXR<Ed<M<QIa|^y*hrFgGIBg6<0;vr-;H9
z9YN|*Y^~dDF5X_bNF!vkpp4un1dp}0HcNj$VW4~~i94URKH-Z0nBmEa2nxTSm6~pd
zN`VkpgvZU&$l{)Ao#3lZQx$j#6P&I6@7zhjLxzs#&F)b|NE$tost-81#>zbpr{SE=
z$Q*OCa{M1TNcfWtJ_3SI)*DJ%=!6fx$*b9i5(#qhH8h7`53Zo;Q5@TPn_w2`dN6M2
z$72+-_ym30IJ!Fbie^Qg>iW^#4Ch?JLZX$*F8;y&f1X%{GR(9ey}TcaLt=FJ{#QB)
z$#hGFUlq@+l3e1|*4SFmJn2j*rp3XbXNT&x#n>&%R#KFQa^c3kdj~6;miHqFl}wqn
zqX83}MGQ~sREV8wE1er#ASCIxxMXAR5tDU%Ftn&s+k6Quf72%*G$ZX_D_K}b!OZgU
zDyNW@7JyTzSu((tU0S?4GAfEJWn31HtEUT)EI_p8?G^@=(rIW@)*+~Z<j+A-N%|SF
zz>SQJt&lfPnS;Pju#QwN9QIo5qScKz=c+{2BSeX?C}=mex3@zW9G+0j{8VI7Ys!5d
z&TlnAy0)a>1z%<D$pfUj4Khr&lPL2JTV3yd`}?bBj9x*#MzVO4?6As#zs%<xdE)*0
z^1wvPvBh24`~0d~cd(0Er?<SF9QK*VvT>>+S+EDxGqj=>cyN$ZE)>gmB=>l*BhL2D
zr~XeDe-JrtlaF|I`iC=T&H!K`?SLSMamc{V8O|gic#<HQ$;OdH6uzIHK0>}+z<%Z^
z8bL{e6oUM46&LClc(Q@O{y-Wh@w3R-kb<JDJd2ziNjgZ%xUq*LBm2PkOS4~8ikcH^
z?oyJcA-FGmo@E>T;g~x-Ixo1c@B;_IndgifxJX;Z$!P@cK7l2NC`|rhFTVah{#A2w
zNgU(A!@wf>CH9O<iy!8ko@-)Khu(|FU%sTmlm6^bXQ8-PR==pn&7ixEWgd&Pd9(O!
z{KNgKJ2kOLuuL3|2JyG7Z5WoK{|fax@nF5JEq`mgHz0?UYxheIX(5^rJ9y@FdUvU~
z|G?5^IofwDo%|W!T~gNV$Z}kH?+b%8qmyesCBH11b0l0eSO|SM4VDfQzn{r8w8=@!
z?t_NwzWDHgzMb048W*PyN%z-2kOCnP3%7*dR)sPsYywFb3b?LR^Xi=k#^>_eUNNPt
zOUl`vnL^!O&m`!&+*6h|+WhrbmEI?tuW5qs5|*sj8|?V<`(4gt)_90L%6wA<1l23c
zgdu%r-?QnFoFx0`G@Q1~8u67V`@xi{C@L~L{={P?Hc8=Klq)g)6}!UB*EGu8Hx_Mr
z1nGv9_kOeQZ^O51Pvs2!^RcFb_87?&Tb7lVTcZxRO!@{swU$swN;wHzY?-{BHno<i
zA<!ZD+Jj<{`;+~eFu*rh1WP%n*3i(9edjg16`CAu`RF8@#MuUGQjX<=!g$np0DP~O
z(NV%o|G;c=2e7J0+list^1GW;MEC=VRu8$W_(-V_;EC3TS~B<nnF(T8MGg;zGJNZZ
z+_|aAE)s^Mi5P%S3?zR8E#derqHTffZ*9vy3Z>%O)ZM29`Jw53<*HS#eZdV!<-C3-
zx}lor!N;6`!=iRjXAOnI?>J{_l#PiQ+<dxIbH<5EmAEk?1+X+Ghd97HbieR}GK5jk
z=2C(x-u})pMWB@MBaVs!)dViKE)x46^)*hB1nrCzgo0c_Z29jf$xbLJoJIt|E!ce`
z0>5594X8yv#wM%Qg08JvYXyxshXS!cVoak)ylDr>3e&Y`iwX28`3L&cU4@=1!g$`&
z213h!qJEkk1LO3+<j()zf&aY&|9c1iU+=($e#6yMv9qFx9F-t|Fm8eh@iX8BB(_B#
zKFFUtPN8%gZJH(p&`S6lXz)7c_NM@e(e{+8?}Ut)3@Lz9=O~mba{7)G{slbZjJ#kW
zwAZDyGh_^28Z4HqzPGDAP2sebNyy#qh=5hAt?%x$FKYjsAvWP)ef+qFF;c6}<>MoE
zBBSk9j*g3T_e<>gL%cM0_Yp%t^z9*Gh#q@{uq_7=0h$h^?(ow+OjInFc^TcqHM0c9
zM*Me;zn&DZ8Tan4YVQ8XNGme_I->OYlPi^HxAbvG)0P56j+g5u6ncOETqxi0!c3*~
z)una&hfj`9j5{|tnYXPtcJ%Exx?5B9lkW?#R5}0@Jtq;A;0<WsTG4{m+82#~E%x5~
z?P^f18ZmwT-rTHue*%0HF`1`&Kn!~pT5JI|%%I^%pd?d(h=K<7=KJ?Zr3|LiD{ut3
z7B3)rcX%AoPQ~u95%-+<%B3Jt`y<ALyakxU0Js#0KY#^P##<oi0^z3q;sE_uBsM=_
zA-jqgg$C_+wEf{2r&K4QvZd-PLJKMU3uT4T$4f@WsNQe;Yw=Ec>KCBBq^dIb@=f#l
zAJKvVVj%Kn__LhClmfhc2Fh;$pXeq-*Q>HlqUU6lE#u>ldn?Swd14$xA6waR?>n6r
zs})da_WAK06mtX6p~4@~5IwvQ2U+3$kX?8~>WF@mdvHX9%}lh3Bi#5%7uiBs7Xnn~
z9!i3%qPi%fXukq_!x^_HKa>;o*|KnueZ^P3@H+w?k;BL1+l*sxetGRsyv}3TyTeXY
zzha_E(hic1J#Zcdni~|14wfO9-vlC)@h@0M33_50_ezfU%D3~Cg2N9tjh#ClIH>3F
zeXQh#QJ!oA+63DgCSCEs!I?m^^^z;#JB(2aDn|4dG(I6=dWtZ4qhAWm8tLYQ8#)Sb
z(pLa^B@s9lcJS@lgMW-|=N1r1E^I*#?>TOO!W=#KDt5*CJ`u#&5J|XxRx&c>@bK>d
z+c3?=hiFq#qe0o1jpSuvaT+!lagsgfG%`8jPvz@#<5W;bhaUJQxJ3Yg-|kTY$PSO6
zh|s2}5-w<LU!djC2WlYhIMTR>+J{uZh2_8xHGXX0ZL>t#MF&1fa7yS$&2?E2`Jl}W
z&FCTxbb=5KqZ{;wXe-c{1*Qp)Kr%80SS0xsV)6;w5+Z75Y>i5AK51vhx6Do@_<Zjc
z@!#(*NLHMz%}RhR#(B`9Sdap$(s;ti+CTx25jsEvAWQiT8D{*X;zN=9%A9fZj2qw8
z7<zqw#P)5Zgll}4PQ(a%ZQI#AlR%$i<$~B2=#1|In=9xgjxq#lsGS)7g}o(xR*%BZ
z{4tTfDe6+M#&egSw@<(O-u>#w1IfO(ce3586E3M~JvDgaDVegpHplI^Wok!5a@(-A
z+rDRS=57imiQoo7u)Lnm3?M64Z&&aBDL(lE@DLachwhgPl@t}1nTeZ}go)JM&{S6k
zi<=K<4p=$%LN+K!l#wbaV<>Egp=Z0o)Z5p`izyYTj`ME?e$pbkytUSu$2BxYaN{`n
z4cafi!8<Hv-}|KSK5?x;5q^mYr=bnRiR*AUQ9S_10z)H!G@$29m^5_)dn*){L&;ek
zuPKBavXE{JGCg2G21{eLOtcqri^asm0EY0v033Xtl4MeIad5$Is|P#Hk3an_4{R5*
zD<Y`{IJ}qu#a&?RF(6|CieFr?g0OpH8>f1NhPR}4rE%yOSh{6P#MT;TRAb`8C|YXn
z<5JJT<sEd27zWMg)3rj-3B-ml^R3Tn(`8C}Hr2d7q9}Nx>38(ybnD3c(`ynHzZ49L
zaO`GlZz}g7eWh3|$wwOuu=(x2UIOX0D#e0zfWw=@FV^M4?7BZm6_ihYh+ez+Yrn)R
z{a3Sh{BCA+RS53SdgY7(Nb)|M91E6u8uw7%-FaV&>^AHjo)&b|-Iy@MLQ@BY1qYkf
zhM(}ErP1S=fR|+?lj4#JjiH;p@kWr?uVN@9lmKcr>kLs-61gIfq|;dWDq;-T#^q7R
ze7N|lK?m9AjMk~sR?vuk5r8N>bBJelEY<|jG&HJ<n$+XQfDXb<i9o$3{_F75(F2Pa
z7+N)sJzubl{Sz=1=%AyTYkO7@Kd`68_Q>JKz$%KvNmL&^6LsUpM}S-jYXZ^s1NbT=
zH@kkTpSxoBvTL<l*4ASu6K)T!;Y2+LYU|tJ4`2kuUku2_)7?I*9tF3<*GaV|`no9d
z#1$Kx-D}bfHE<3QJgg`tCifn~?d8s{5+RU(!JKy7aziU!*wYtH4SL5ovLjh&^ww6(
zj;)qT>fe!MY?;v98z}<qfc50J)kb!|tym=t2)OO;u@5z={^TcU^+Ypj5PQ&O#Y|fR
z#B_U{4rIqac4a_OjRwFef)dK!@WKT2e30pIxHW(^u;u}$<T;5!(!ecbf~X`XRJW3*
z4yg!=7se4&Gc)3|jOY0C{oON-{W#~QDJMj^cqLI^fWmbUR7%nll*!St!<y|{8Jf34
z5g?doz*NXaYYif@Lh;Eyar1ILcIT7dn{K9^-?L57x}KeekF<lVn9ZSdK>Yru@m<W<
z^1F}6A6Ob3W8>{6>eFFY!!A8G%)b<hl2D9Lap@yU4a6hw=j;@=5VyodiPkqx<xgs`
z4+b1k$n{*vdDS36d!1XRYikAlD#j9ehk2qD$|kM$x-6>4h`6df=oj#1mI&RrL`5Z~
zeJB~xya$(^pJ9Q6P~~mo=4PNOuddDO=tynw9>5X5TCJLJY-l9WM-M!13r|BSI^DVf
zgu?r+EjP#@HHUGX*!~)`roQCF^Og|NlK=y(6pklrv)w@&NiMSu$xB@*wT~>F+i0R$
zMfCuLO^$AaQIofaswW+8^}jx%d~4$Giy!ytNNyk(UlI1lcl%w!LsjA;U&u&}jsV3%
zh-WhB=Q$T$Npxn~o)4_zpIIU&4Qv|PKei_IXN9_^kJs5Z1=}~dO%9a?Xsd=s%;je$
zwepcPF4;RCq!oobM<_KxpK&KAI#=57zD6ZZVjVW<G8rq(W09l>8UZQq<Dbloz1U-y
znIHgg9%xmOOhO~diziRIaY~`jNc`7$0s3EBN}JG*m_7GVZ0}{C(0Adh%hu1IBjaAe
zEVGs7?!mvU%tJ*&LBY`1fBw+Z_?@ekd`u8aXlwP{`PUqoMTc%YE?aa{!J}l(HKwcU
zV>ZoGyr!qvJl>SOFIaB#>-S%R-)(Xcce}**v%W9b`J?EH-rzIxA92bf{URqF6<%kz
zZ{2F|=y?75b;MiEJ8^Ms(8R-HJq{iTH`s;CdW+24taKF=Zf@AZpSY0QnIkCiSjtu8
zLp8Ov=KMj#;|u4&g9i^3<xA&$_t~;T?8erJH|td9F8Q*#Epwu`;9QgS;l*NN3$(Ib
zgpo~0Jla)=O8+~%Yhx}Qb2p_Vh3nK^Hw)UUyXgiyQgq+NHx;y*nORu8)1)&QSo0Pc
zxqGvsnwlC~s{H&m#kYY*aA0Kg$**KyL0)SE2ql9s5~q7BB;@?>UZdmIkNSW8`UN22
z$d7^B$z=znbai#>>eFR>KeYe+d20AQ5@u%Fmn`R0pzqj@OLe@iT|=uNWKlVO?&3Dz
zupb={9`r~`O1f}{&F#VWU<kU1#t1D25NnB}2ZG`L=RkX^w&A*U>+V7{!fE3ESM|$w
zG1GUWR{QbYKw}M|q1FbSDR4<oRE!xLA18Sv@I`bJIXXM@)IYq}V+h<8Z+Y7_C3lzY
z<o;N%x<0`ZuXiN`Y%s|1O?};7@Dr>Q{1a&7%wAG_2;-Qjx2BJ?b_w4(w?tl0NHIq!
z6xC=|9tQ6B;$tbATYl*8KA~+lP!}u|GB&QcYXL=J-XenVNa%T$3x4?U0h`wuL~?&s
zDr6}cerKClFO+4z%gvRj^OJFNn*^@{ve5>x=>VTl*|Nl5wM^^xZ~5A|m640dm%)V`
z_^=9W;XsJt-tgIuJ2vt9xeN{tA_{4Num!{T@X;fd%v<@Hi|4L(1Tl=b9;eH^dUZAQ
z3nN^SgA#LBW-c=xl9sKvzkTrF!FluN188kRs}1N4+;qI&y?ckF($mWeT;cr<b@>$;
zF{*JK?CfkSYd(K&nYmRW`3;-R*W?c<8d?ZVoC_QpuBfUK)Zx;JR}~7p-q5U~{Pu0!
z*l5uzjK+w4E>mGvEI#J_D9ZL}prn%4(K(zFYbE9ojhaH>qeqYY?nKAN-cp<o#ED9!
z${EpvMW{R}6RMM(oD9}=<v_EX3@(dTCo}Ngy)hIvt<2W=Sw%{3y(g#C{S#^jy28($
zI`tFAdgK_`Yx5A%4{THi&VQVhOG3-vE{^aE3=H(}@PIP|_=WumU*tWe?$PJhuO)><
z`>S@0XYd8p%w4Jk*065N4wnYGZ(UtE80QCd4QO9JywD7c`vg=Ui0V5GcFA^mF_sw?
zW6!r?!>imM&)!chArYzi%{;7A_hohDmt}mM>ykC<*0&{=ngA1jR9X0z?>P;|V79k@
z6+b<=kdo{4{0x(s|8HT3fDA6r%LaR#R|K@rp|lxZvwKhW-KdPZ`lqS1UndI*J615B
z6DiAZ-owH|_xrs;)W7I>GfNiPzdzIUHzFFI6})87bRNs&H<76WE>TTwOH^q-e9^5D
z3eTLm#I$VLGUB$+bEK~h{tcmlf$C~%t2sC<EtS?(nqe4g(j_Kj9ylIT4a>_8K^<Um
zPelXjziA&obUa2bQ%hOMZAXqGjf-er1Igin2CYe?A?Tar@gV&_XxFe~2{+0zH#Z;P
zOyIH3v`l$sUoLZbxlwZCqgaFQmd~2o5-UDg<#(k0Y<fi4=Df*4Vw{giB`12q(my8n
z8b7RMPDN~>qo`9g*M8k-P)SXEriE>G*DECCqR+9#3n&yBy#+)@UUFl<s3_VdY*8{I
zfhN7wFh|+7uQ=0f(v^D9(y{{w|7Yb(m}t}Tv$3%eXr`KqijkpVe`j57=Bk0#@+cps
zhcFq#Xgb2Z#A=wC#WIn(E^=87H*YenTNerj0{uQQ%G}!DRk<({6|oiKJ_z&9!xV0N
zRl-?4SWrP)sOTnb#<#U>F3XE$#noHlJ>%m$u#RwA3b4t6X+Us|uwA`600m2a+$q_!
zjxw*WKQGD&R^4-BYeEF4N*2y-^Xv&3uMS#%he>PC(;H!7>tVAan_>cJHxsqm-SZ9?
z=L0~t{20Aczv!4T=RVWk+yi`*)Tn{jzy9j~QB=IIYV^Ss3kzutI+Mj~ipWxGj!=vt
z^M279gvbLEtpzLAc`0jYZI@ek_RJac{fAZKDk0AS3)PTjBU!j^-ok~by0dY+sMG_W
zVR3Z&Nowj4l67Wg<{+6e5=%rywdt2HUtU__sLZW$_G~|}0+^rBXtc+C9S;;^Ad@0k
z2?3Ll$gMIbZ<k&>gpT^R`-8_gqu<(@WQ&<vR+uFR1XM#{hCpa{iH?r0Or+L{5pyLx
znO>Eb_ubD3FM1JN#rNml%<bXNmQ!^d_h+lUlv(>=2sZ}=uWS)TJqHcnn|JQ~kQuRD
zOG``Nz<`Bu5#^*x{?INyx`z4_H-blQ#<$zuPD-`fQS^3Klf<M=)Ay96l&T9{WL~?w
z@oFZfUFeOX9&~ZZbadM-e!5XYTRQ~77`7fcWd#KVhvO<`%6Tp^nI#i92ijE(W_80T
z8K;jim1d|AG_<rV6gQ=$q?Dy(0}&zkMH2&dCWK}Wm>!}7tt`Vz=Iq(CNG(T)y2KrO
z4R7l|*|d%3C6#2;Bz0ZD%-nq6`H{2KJQSa<!(SKv-s0CV_lNG4=C<2A9!5tWc~tuA
z{5DMI2@8{;FO5;!qWyp$8svAkz3i>3O!&c%mQ=pjlGGJBuw-NLgF~DubJ-d;^W;o0
zcz1l$Nqt>Wuy84y2qIz*t?X<8;hXkz_4yv7dt)<N0173(?$^RM5=q(hnGVr6L(i|K
z^}BqX&*yE6-Prfsl!2d-qUt`6Y_yY$P|T>sRidd1p~#qh=Z~KoHf%rv!Il%N`AT&6
z?&GQE!!Xp^zJqU+czHk<xtdp}qT?1O=iCVlOv3;N$PjC8#GfI<6!i1xsd*Sbf;zH%
zY|JG_>rpAYu<dvJ;``!aJ6l^PjO?^nny~IyQ`3so<Rx_Wmx7YPlW<Ut(aN!Tc?V?$
zMU3CCX&H>ydVz+X-?ADS8gg=8{kK%(aAc;(oRGRJs<72&>ZGa%WsB-H6?I}!0B@TW
z=AO#g+V-L#dae<F{kp8WdSHU<(W6JfS^^atMPC;lV9Wh-q6&wqS;*?k>C>kJAsO<G
z54IPIH(O)6Y)5Z2TS=qfiOB&qGmC&VX&jMaVkX<M4(sabDjoqC+~lUhLUA8ZTGVsS
z<B4@z;|J0HK9(e!-=bVz!K#8rCt<G`3yZ%RoQk9x5~V36Y)?tvkDEL(G2!d$i>2b@
z<HN|vnELehM|-{7w{HV7=;us^SQYX$Y}TL6%?wn1ef=O2x1&ej<KiG~z<`*wY;4>t
zJ9RQY6%?GpfrvAiH222G#|H-oOFe>O$Xi(t{genr#+e~-&H7wa)P_un*bgHqt^4wY
zot+)3&TwVV(9i~edR4Gb<NIKdE6VHlthnWDSN(Z3xMAM!@$VM-IoAOxjQ;)&_UZ==
zM+<z`VRhi0u@^v5m3=>+tRV_A9;gLddBO!wlTC*bF0!643m>glHiFI>pjNO(F=g%A
zV5Ie^EpSR`$E#*!03oP^m_Q~*39+5XJO|1R5cVOG@Vb5-Sg<QhAUQZVYVpmG>mNT3
zn*8ip7jRuSLVL~g>z;q#Wt$@!D;MJyoSBssZ@H#g_T|&M+>TuXJqHX>gwz9UK`R-^
z#Y?!UIJ6+t2@=>vara--xMhNQhfWR8^Zd#oyXB$B6pTkQm}t?;4**Mj7s`n-(VrWc
z?=<n1G27RdL4c96!{^V&pkiad-RGo^PCXt@_+9T?m=PE$nBiX-!Ez06UxU*#Qoa)_
znVH!Z(Gp>%WseZIzZnsfK7ES30u79C>gDC(NlHz1gP@MMg|M=Ij#K09tH18$Rg8QT
z=gC(*CHNSwVqrmZEhd)i+_md86l*Yd_Ojo5r|bUe*xyi4jN(~%9_165(8fMNES6pU
z8^4ZSi-)54tQ82<FU;OEGz^y(j*WB*>-ny`kZ&YhdMGQVa4Cb=V`B+y1Y{AgCpnKZ
z0N5W|7~@rI0kOHeyQBK>X61|QiC?s2$r!*VTpZNp#K^m?YRAHbS8{W6F>49NPcJKq
zqvW!J@32dCrXH@O)LCkzpN)C)Oizo~s9-SC>I$n5BimZci$P9vA1WMJ<2tJjc6Wcu
zbWHLc)uK>pE;sbA8Z_(a6+5nS#wRGN_Il-tOF8-tzgE!b_X(vg4;Bo807i4mF}8#l
z#kf%@6tsW7KmN>-Vq(f&R|u^Wc}bW*1uh0T!6GVB<UyFzrkvfoqY>#Gkw9r^1YHo(
z)6;_^T!e2?1jdAa>*ydU075>rgLk~&%nPu-CcbX@LbuY%*rbp^A%!ukC#S9MM>Mp>
z#wEsUJO2ose7tj8spd=bk}$EvoKE4B5=l5PcU)ne?sb!BBaPo!byfhSu^(mS<?jeC
zzPWer-h+n^6T}g?tjS_2dWy-31NHhHhCStSPe)JLY&iTSZDV1V=irBL2N;+C4s%Eg
z?mlOhUuD_eo?aZ<V3dF3uel2um{;&5=wvzfMb?y-mR48u@mJtv!8b9s;G}3Qn<_wX
z55iOw<0^sg;Ruw+xh*9{G~E^!79yaAG4oMP?U34v1(fF+=S8lHacDfY!_9TyrZgw=
zsOeLBO76EKQ{5>hivd9bxHeAnMp6US%8nHu&p-6i9uyor_jtu>R+G(~oSXzhmpx3V
z@;?CsgH+Sf98lF<Zi5AuZ>5sz+KhI~_73$eJEvMY!z?#WamisjexdOfCzXbX=cxRD
z{!Ef-3we|?FO$VVJanPAZ}-7WW(lB(lCT3rs0QdaIEFg&L-_OYg~#*8(6erd1hBmw
zG`UL77!qpeun7<jND1;^;O0RuFD@j}yq5;}Z|0Tj^iC$Xt0p-PCmBi#=$I08Cm@l`
ze)2?tUJs`dglry|nslG<l(#bd%x_`2)o#RhL#^zw2IdFjuK-3nf>fYg{q*S*h!iA@
zZwd<HDqC^h0hW4aIz7u^>J8$!@T;MrydJ-B5{}dA6#F1Vg=0tvlRh~Nw#cufwby59
z%Afh?<0$GoPAnS6)IO?5YO4J>%~WH|oo+59ybpM8czLnVw9?N?|M$<w#&S~+0@odX
zg%f)*b;HJuZL3E{Mi{7oet+=)nT{~^8Sa(0{N0E8`&ZJma$L35ZUqHtsH<=FKtH$g
zco1-37TTwpn!^9Oh=xR6acUj{Qd?_l_$?S7Dbnj17_8vr)X9nT3lC_1`DbXt)JK#I
zz74uHf#<;q^DInwB*{Cf5X@Pg1jNNaMfJDVV#y@bLkv`>q0Svq!n3aa@f|#2D02y>
ziQsS^S}Dj6y_BO>;~F619;w9Xm4w-Jr6vYbYK!S#tyywHwq&1(2*RB`P}+3nW5+(C
zzCwLhnMed|fNE9fm#<i{@jpL|wVQSodSLk9bt5%I0f5d6fG^(O-d=4k&=Cp>3c?fe
z=4bX<-?2*CYK~4Bz(ky$f&;BMnORI{Ei_6Tm-(U*91m4hRopBLvwkr?02j9r0}atw
zkd0n2lp`wK>u3Fd#>Nwi9H<A;#)6J{z>Az59K<#sPxsI((#Jdf3bXU|cXz|BL7Vdi
zj}o)wYuBz}+4l|&=|cAl@|1<)PqXvX&%0M0P@O~k-0*#C5o~bdI~yC<d!Pve_HBnu
z$m<v8vBI>7#dF2XXW-Ac&Gw6&5XpBN<YNxHFfVTx7^hb7D$1^)rGOqz523}UYs9Ob
zi=OqX>bx%&IdJguCL)<2YFKnQ0B-5;?q;GXtEix_WVeV&I<^iHw~z1M9gqFj67bYt
z<PZXl^LgNsz~_;#`FMIN#wgRS;+B&hI>!Coxwz{v*Q*T*VtYeC{+U<U{B5D`0eeM6
zfQg#pcqTGryGyXdBng3to!QBgjmS^2ii2Y8W_|~MZhw4&xf^bOWQ`$^;2US!{*Z|&
zsjL*><}R$S*P-`?CJ_|$p~HtE(T)<H^)x8CuU5+EPQv{gR_Tfo61lio&^4nqH5$}B
zu#u!W3Vk_f`S||h2hnX4H5}77;29XjJ{e^(>uXS+(;G2&V;=*wVFP@QW0tt4yn02W
zdSqlwX+BXf0vja>2a+<t^VVI2U5A4a4nbxbp3@26*>7laBE@!Dm02=^1o21(+zvRw
z?gtv~h{BO9h40_Pha^yn;CYH7ZO0<HJ$n&QRB5VnvSE8CJ~@`u8CqXoPo_R1_dsrW
z{-eS8*q8?so0pXQ><?96gk`*KG(j;25WlF~#27GYk-dA@I6h8H>_V0E<N2&Z(tY42
zPNabWY#5@S#0s@n@`3N(NgD01dsR~!tv~Pmg!375H(VFNY|31kb^j&Wj5hu}`K)W!
zH#lO*HPsF|{a5Y>tC;%-Op|L+E2HKH$y!rW6B!Hd&O<S){`CnAn;L<|O+wa}S5ScZ
zq#@~<YMg(=hFR}jC1o{7Ojy_vRWSP1JP*z~`6PI7-s@^<?T3N@`IWQtC?Xgzc^7OK
z+Etk9ti$PoO<#u)EhFQ}q>sNxQ;F(k!&&eD*awFM3`aGTl{a||BfHsrG;qDgP3CSe
zplIdEVA`;Arxld9<S}3}#pNZe&m4O6x%2^^%)D}2KfM)pz>}n1?e0E}2T_e?MpV`?
z!5AWT%g}%ScL;&Hn1Kq<_u8;bq@xq!m_;}QX*wp5k#o>CXx4S+njw@1`1>!S0&IWC
z^E4@G1q~iu{L!qOoI5@CI&_EKYo7To`16Sd9vn_o8hx@xJdcgN{c4(_k&!_3wn`vx
zx65ZAt*WxBbHvuKm!Lnct{%<P@;NDr=^IoHOU>|=JSXKVXMKs1J8xxj8Q1KRptt$@
zYQDBKAZ8|g(3Z%F(_g)Rf7En{45lmkuTZvb?OGm>PZ{=!35JLzSWKu<IQdOVP#2}3
zONLMqmoJ0+TTH$0(kp%U>#UV_G6d@?>gZj4YwJ*dfB(S1t^No$2AJ4My9#=ROzZ{u
z4XFC5-+7-KH(Wr7em}hApF82sLV_<^%<$T|lXJJeM?yDR3x1EZB?8Zm<gqz(#+k_b
zI=`5joAdlfsQPjv4HHJ2Ug3Dh)87YI)v&PK&!2@cm>N<VW66I$hN7NieD790I?!NW
z!r$=wUn~6Cov>Ny0EHRJ1`0?-vO&Z@nM1Q~Fjh0-7@{Z&9eMgv{M1!9%uu;Pdphe4
zOU&>T5P0Drx`>MYOcWtNX`QGZIXO8ySsTzGWb|s@KVL03ova)`zcKilK}0PE;WbGQ
zFb0@`ie$8D>UD`pOib+S*RP6u#P;r0k5JsULg1fwpr}fz&Z&R-@_<Z24g}9^Ud=dA
zpePmr6^6!KoNkwx5ca{^;(x(RuWD<_%oLpK@p~@Jy10{ac$94@%+>*)0M1He4nT-*
z-LggPg%*x=qE62rKBUpx;PO2@=0*H#`NwX(<DLjxRA8y^Yiny^pawBNmHGgSRG4kn
zddZd9de1$_q37XqE|Rrce@Qz&89^+HuUz4&{nxUmU6?mU+Sh)SP`9<{sH>|_a_Q<e
zba!_{$#D4KL3q%px&Bci|G5+DTkzb_qR@^n3x@Bp?ys({bwKZyFW-$+5e-D|7XMcU
zfcsI#2(qS(tM1}ofBDhRUYJ#RQoc#i%G~}kMh192dcSDaGd9sS{85DNvv!gpzkT<P
zw8N4B(En>WU^cW$A@9|GVSDJo`dPp9<Q!Jou_H&2oxt5`FRl!C0Mr;TMYNOvd_l!7
zMLh^CBf_p_<Ax3JeU4EeF!{_&orB~;9x@TFf7TRwQXf~Em6w+@PHLjQLs|YuJip1K
zduYh#>eZXBvrfP;uj95w=lo?@*xAQ0<P;NkA~3xKr|Jk82mGEf_Ls-oj~@ZYs6F{t
z@^R%0Yqt{)y?a1=$V$ND0+0x3>CE$4Pu6`vVLP3!w)XkfifyKR!w|f~vz$M=v9nXm
z_WP0lSS{EgAl%UGtQged3Xv899e(u34|pg=U!8iPy8iTO>x*v$ESh;$Nn)M9e*Fm1
z>VO`;#w!qt;m${nT$PEqRX%G=QR4r4JTG(SXlGYfqHOw5OZnkzxijy9KTXI&KUEyW
z_2;QG%&KhMtBxQsM3N-)X4Zp~h%+uPoAv)GC97_N<p296L5Bxx9fm3jp)@wOP=W(!
z_I%A*-w4b8rh5)_X1L$zwyXy|3dj7{{y6=|{uOQoZC7+7(}7&dSL)I6O;h$X)1RZU
z4GSE%70MlnpbCPraB|iIC_Q}m@Fo3O`#7u;*~27;ymA{gkmL<hV~?ez$aHR<wfrS`
zHt-nX#_y))A(k{awe7g{ZPo>bsXX&NbK1t{DU&`HCByt#?=E4EfZo;C#^V9FTx}~r
z`oCWqJoti$uGE7-9B429{(Ep28aU&K*c-P9x}5FY+=~B|<PTFNFT0>+6d42xHuxN=
zaBrUV78)FyO>vtyZQ|d#gq}VSd?3zd>{;yhr|=}TwzdWjRUr+rn!bGCtY1?XTEW~6
z@FDtw8jO)40RoaO@_I|DS#o~rtmiIaPBmXd8fs@=>v!ud7{jgz;+>V3Q8WbbZfHU@
z$=*BjgZR^=QvHwP#`NFK|Ifw2+>O$j6E=met`nl>oZ_xpvD^P6lr3`36*@Q4Z%WNW
zxz=?e>G^Zz*jcBML~tH6>CKsWZOx@E!q^lUst5Q*qko;mueMK7%pOdys;jH_6wi99
zC-ovb=-d$DkuVEv{gPry<|q$TRhuQlKO7NMJI6JP>Dz-VoO^g>W<CgiKE7wVXc*KY
z+z14=x`37Q60XY6H}3iNX0yQTO<=C~fa@1h;4Fk0bOxwL&OSu8zkkl!jWEqAXc5>M
z3Q~Fn4f2|lnBuxhvt%IC$jrva$A27L^v?&o`}6Ifn+9x!w%)jUl?cjMuFraE?y7H}
z&vTgzKz224R|dyFze>SE94RWDwQNs|{};YuSnQs7EUpq#SPaQP?otVcSH-f>Z<|c=
z?9UibSWg#<N(bssE-|re=$P*R&)XKnGR6jRZ`<}iY+I-&k?`N~^ZQg=i>luZ5fwLM
z6^%&Wu+LsVn~4+@XpILG$z}FCKHEe6``hQzCnwuUzf-$aF2lg1!XhA8zbu*2sb)WO
zJ=c>AYuPIcD3-VX9}{GEs(oCn_(W@ab?RK%5GMwz$3>=PG<s^`8(lZ1tU}%_=FJZu
zIVGFipp-25gBi)vFGpr;)G&bIR_`I`LekxfMA{o1K5%zi4IF+7h3HB-gK$tMuEOmP
zXdh5JfEzS;qUtkBb2We%XRxQoR4W@96(|!8`rV|V^-S{`Z(=fnN)Lry5#VB8Ui;Ih
zy9Wk3fIp)PMnRzjl@TW4nSNhOj2IC%&rZJo@Bz8)5UL9h1pI7rC~oJ>or|o6la&<&
zf3Q<hXJ;phWlOCC^iOdRqsU;OvU6~xT6``W{uIe?_aJCP$S!W~R***~UkVY=b)ZDf
zKa2@Q()2yVvJTw6v6j&7`b#nArK5~SFV`=QGtjxRyZKxNZw_`8AQMm*=#2+%kJzRL
zl?HN6?3*R9ssL{<mA&!MU)AR52nF+z&re42p`;7L(}t2U`+^x#Q&JbgMUyB*^W$Yh
zqCl#lgbf1Wk2F`whOMEvA4&3^^e^Zwuf{O}`&EtS@cfXCSGBHr{;st2>4YqX3E^;j
z93MZ9d03d2$arnimB!L_g?1JGD=KPgaJVgcB;~cIMYM2#l62OQHKlidENRT&wg2F+
z*t@&aSko@&t2vML6oBcS_~|xr3fa7uF51px&svOc`S7-C?Ji?2l|j=zr{#@8jSNP@
zjl{aXyKJcDwT|?0A3Xu<1c;guI5IMvk@U`)Ge<*Y14UwS#@XFnEgb@m36htTR<L|=
z5<PR^#xddFrR!)N9Y3tpmrzQ41;TYQ9gfrQ23)(~2L|B{Onye<9ChEx47y<A#tY5s
z&ZtA!<VM0GA}Qw8^7O~m)a*$E9_mN*Yk}B-Z#D6M)N1(fA>n|COhJCWl=W{w`Qht8
zPLnYok+CRwq1%C47~>E%M1nD;0CW-1ePCB09<G#>l%U+HnB15ho|&md|MmNKL-SGH
zoEqW1M|90s12n-Bszcv55@V)Um6gd*_aI<F`HL5_Ni<AXV*(0Y)^RX95V6Bw;<3$d
zkP`!(8+JF*?*7E^tM_l;{z4UZL4@1C@J8F_qb{o>2f6g-pO@qn=Ex7MeQ*ZXi?fzx
z^=et`LS#D$2|Ias+5oHLfFb5j;%?cye;(g79NC%NQzx)_b2HrdVS@)4fB<ZoQP6$?
zxSj%IM}DM#P}0;SK1pys(!w-T)JXuCtWR_ErQg-LfB!y`-@@WzEIgNs^ISkPojaGZ
z@;%b-m27Mpla(;)17zbbQ;C8wKT2TqL=v}g{{{n*Gkx0Z2A8i+kyg%WZ!Vh@@!4vz
z6pG4$EN)M-a0z|>{-?H*#@NP2*Ay)9w6ru->ZZvW+Ft?wz)_O>Jl!11>2)Ihww50b
zBr>QCIahsY*~>qa^*o+;=<Mm|NfIY1r^S)RfGJu*1Fw5XP5;y>HEnI}<Ht+Gj2#??
z0dXUuZk>vvZ&2K{7~A0d=0xQJzyuD@W2Dm`9de+C77QHrVlygJ&cxMZX71m&Zyx|W
z9LU&ROF2Z8t&1VxZm-Kwqu-5;91c1Ct(CGPk}u9G)1VmRI|bev{kJ8J5-nY^00c;h
zTF*C$_6tb6nQ0K@HDf1F;a9XrrD$Z<hkOMxqeKYY$Tr=}^BM6L>@iqzA^BXOs!vi<
zRAa+Zk1O%|If9=6g@$r+2)gOd5(0oD_!5G5^=Jpy1U!CV{mbawmEFDPjzBp;lqW!6
z7S5aZ9*-G*DT>}dA-9z~c1#>AUMVKbm_f(Yhjicjm5IU122p;X3gaE!RpTsil3u*@
zveo{6P*6}_ULLgenFwQ`u*WcDw@O*gApI^Ka$b~da<a0)V&|R4djU<FBx^uBi*zkK
zB0}IuuB`5Q`Xx)w+SysU$R~vg#Oa&y?s>*1)bM7v@l|*_MNb|*VSF`Ze^Y_VgJ0$0
zL-!cOit>k~i(KkkjFzsW8;ZhpVh6iI;N_(Y<ITHJGp>L%6-4-HX}U(&+o76cwddto
zb`E{WmQ}2s&pYB=7%RTav?`j?I6-a8=qO9<8mMkK^FKf(5=mfwQ0Jl5B%EmjENrn?
zdOyAZBu>o(q=*=>(}Q2^Q~it<fXMLbF>|Raplk~cZpb4|A^xxm3W6u9g+)7B#`m0Q
zKAHuOZY*BTmc&7#Lx%{Qcf3-EUeDTE97PJeH^Q)hkT#%&QU~PAMFU6_ezmkXg2f<S
z61>t%OOTt%c^y6hWD&XYF<Du@{TvOwH(F$O)C=|BD%U%j&H?E;7B9DdD=>X_v~5^j
zj<|ih90D2$eKu%|UZ0;x-*SzhNBpwMbn&Xez*ju3dV21;S(}ucObk{q7<m!(AZh2Z
zvQiQ-T6W^)%a^pPSf_&OxtQB3M^ENoLeaCWu70?3LEDj3F5~`(&A;B~Cv`LF{kXxd
zw$|KRm*VGiN7KcSPw~3jyf2}cJ&RU_c%jh*2siR^cD0S4oI`o8mza>@RP^R!xa6S7
z(%-J9H2B`kr3|e_MQSP(12|Uu+Vcw35(R7(N9E*LCPQM88$OZ8vbybxF@QH6V~JG|
z`Xp#rEnBzo!7#RL?_F(8%?wiXlIH}maqJN4ZNe7gWZFDm0srXOXWa50^?<e3%euO8
zc%)rq+JG6&`0=GW$xokNyKw`d&hm-(ab$5Y1xG~?q;aZNAB^}Gf)Ne_M`}xaVaBzj
zKVntaTBmpIyEfN(V@)5~(%;9|kw}yCWzF0G`X$0K6^0$AW36a0h3g#jK2RHo9uqJr
zS>Lj7uJpcZpC#}39jrFt$4NU-R9;r5%w35b0bt*)yLT~PIl>vUNy!3VWhq2wt;4IB
z$+!07D@hN39E<`IFLfzr4aJJ8c0FT_F%qBCsR@L@G_(1D0YnQhs+!Qd0Om&ZTSbiS
zt$PdWGjuj~g_`OoI#ArNp;Co4$oh#a`UjgfY@pFU1(kR29=o<4t{2v9n>|dPyjTw+
zlI7N53CpBT`(bZ5Iv_Q0a&Q1<2fwgHq#j<kfwjUwhfrt-m0DILX{Vh&AkqiwqDDCc
z+ACAuQ(10l0edc`@37-46Zewdppi?ueWBq(Y?WCtFW&P)cEvYDsNWp<!?j<(ecRvx
zyX7p$zQ}ulcHbBBhDJq2`B{|j>r&-LgGA!)MO&J36!Zsg{`mTpdj5)3P{mHTgTOb%
z36wt+iX#X|mU9!GRca{p2+>^&x-H!uvySw9u-Lztak=V;w>FiO`EGP2zQ4C?zJ6<*
zxoV7F;UJU)b*d2$AAUn$+OFO@*uK<(bvVJh9wI{vdG3<f_tN8I->N!r6aAJgq;wvB
zHt6o-<>lq$6Ht|L8;9l)6wx`Lz0s6#AJ*O=`4I^dVbeqc{Yy4|3MF?0Gqvfd6=rr#
z+7IQp;xFyP(Q3*O2G2IqGz`KL)xkhqL{!vbk~%_e&6V_KLHPT-7cXA?+I3*Ct3g~;
zbR5KkMtsW4!cUNTL7|Os{}zpC1g3t7nt$82clGsR`}b>kW*WUnPnU-i0DQJ;u$BP1
z#hbn3ntMLx&FE#F-hDTEQVozwL;VUw50dx$aOyHKiT3j`ec8wY;tt4>EqtVUdu@e;
zgtQ%DJqK;drP2m1VY^npezKjGRQvH6Uh?ojE1fQ$c<NFY6y^Z$RihY}EvtusYuvKY
zZf!0iVsMRW+{ypTs#V>CRXbmN&Pp46+KBFvXReSt@w>(qpq7RgWOc3(3O&nrrMlxD
zad!(k$DW?-Zd~YpV*#a879cm;s7|Dv)<efPL_APfGd%=xf*bEPP^pG47z~xI8}WyK
zTc~rV@QIhellX(v)6>Bs!z9o&z8aV0?BKwk0AbbEj&ENiAX{ocSRLU)x)Z>wyJ|pC
z#>d+mEg#pFIajU>kJ~0^)i;3I^%r7Sw!B9+dimpaqxqd6lmU(b(Or<3pO=RcqP-zU
zS0)#I3lEVIK;L?L!H40+Tn)r}88j8n2RyG)m>?eSe&3vR-FcA9{MTBiZDo2lGC3ds
zAfqq=(GuecsJ3+@6n~G7+5;5@hYoj!zQMti)7?&81IWUl06V3)23ye1-kuk|FUT;!
zrP=*JDhCwE?%X+&PJHDv;U{r<co;+{*r6bq8dhOL)>X{R&k&wa7a(n~{rvgbWc@d7
znb+02-AA2NQWaAE3UaF2?qb~M<ohk;vx70?@;mGgcf209N#1?veq{bi$2%;ncf1}b
z2bgsFxFc(YeC(O4G@b+aKCspLE;lVNKi_h-$D3W42CZ`ELM+<ccMa{Y69Y6$18V5P
z2L49oW8>rPY)3v;t;ZBF8Nic3l`QKf=V2#9aLKfK^(k|nI8yAt5tz6Rt_X6vatv5l
zlr;cFLVv>1T8HL4{4Bh?b}0z?7dJHI;L5RrVD_dvZkUU@k9(zdcU8r-41D7CI0hX4
z@zv+It|#f*#_CX^3EI0;h`i8uAX`KB&LtwE@sh{1EMr$T?+M9<5?SA624fvS4(S;f
z$f)6KE4Bbug;5+{Q0-vQ3Cr5G`|y6Z>(kyh0&}={QSxG;qI}IJD2w;(*+Zp%MH)S@
zqPuLQ59N{B7f+^d2v&&Cw5wQ;psq}d&A_0OcEJO3N>{eO{_EmJRJAA`Tz)@$?lFM4
zf!Nibbmhun?7VQxMo71U?dA?g-WPy*Sx}JC2a9vOiYbT+?bKJdB%d3t5l?8{I?6A-
z(rxyGg2pJ{*~P)h2}0bvD^JzJ$I)03jN+KF=RBxAJsFD3Dmt6j={))=zMVo*dRKh4
zT37Y>DX?b14L%eWViw8ibLW;ZFzjhMriMqds`1yat>ZE2v9U5E`ywF(J96ZR5>Fb+
z^w^%z(zWFs`{IH<w_Nk~&IV%!sUXRoi(X4N7(Iq$eMq%`SMU3D2B$5_cnlc24jsxb
ztY37r3Of&40D<iko?rD};&bc_nUJb*dp$$lXScE+1Z?1t3bchQ`Z(I<o<MRA&o3k_
zk#Lp5{=?V>)FeolaV7}4?l8Lh65#&UN&>k<MF!muppi;+5D*D~yp+`C{#*5u;dL&T
zm{2{vdl!Scf|SVorix9ImUl%AS(`gMakBk{ZxLbFkq={ogBZdtN}s0#bt5ck{**V|
zmXt)*IQX;}NNHYXbs%P@k+o|xUVPjhwR+p9yI!XTne@I=(_h@>|NA-lv)$>Eez~)B
z1M=A|&d$!aTT|<;KT#-0zqK|;mzkjp?S@FKnV%P;&#~e(KO-<GfJMr%&<PcrYlc)W
z{?7#=F6*XRX)7y}Mo9Sbaojb(OHd!ce(|bTu3V|+1ql<5HHuRme23koGQ~I;iJ|_q
zWwU&YAeMhmSV%~X{%d1n*ieT5w}$@|y1T7_MsW&avVh#M+2uqM>*s*S;nu$*l&|b=
zI)`&e4;U0?U`(R$fPsiQH4iHoS~$z!jX&BTDB-VD)!0cJa~{b^$b5?Qp6DylNr7&@
z>pnh{s2c>$tF~t?=N2=RF8>^1*W6}J;q{GtCCl?s)(%=XRk!gZK`CFIO*wz^Aoenb
zR<t`f=~nu${Uq>(aywroq<MJ0M9-<uPEvwR0&RySuncl0tRdP+$5K?%j<dX-ex(O*
zRdp2f{bSGDNf*x~|DN2|dD40!K$ngp@^}#d?e0lOC#Rk8F+~l9%}R#Mp)K*`xu6q;
zsVE4EW=2j08S^by^aP;A><sV`DJdz0kz(`XyrvJ$Fqj#FjEI9lI%Q5Tu-MF6$1i($
z3=a?A6Ll5@v=X7%vLTfl><VyM;_rtq1W&;7XD`?Ml2t7e>Q{_?P0yP8x~l3NdMP0L
zVDs86DtaFE*&RlmZ0Mn|tYLBc3o@USr%!#Gn*{~N>nuE%oB*06KGrRX?_y_{>}Qe~
z>YkXh)TPgoVlC>|amd)-xaow$)tj&1yomtY5yO&XXR6U>{3{5HF`|)|V!W#)UB$~H
z-#pug0-e?Z?Qt9cC`K6O?eIuUv~H96?(F20Ur->sk7JDie4>ik7?CFRXFGTJop<Z=
z<``UGzKu?TZWECNOh`s3?!d+bPYbaRBGc05GS-;1H1(hq7)@0<><LwkL*FJU%^aJi
z%g}ByZP>dv4Qmjs8jBV!Dl}HWQJ9sLWnGu<fAeNZ#kx*j-Ryh!@9*@$act7MpWB~X
zM8pZLLHK!Gwc@8LsR%{5KmSA`2Nn5G1YHdg_VM%YoJKC|$k?r+cAbl^G=oqEVL0%4
zciLYsi&k@TX5$>dSq|6^Z8`)SaemEHe{+l~tI@0Rs1zan$hE<dMZ=)<M@L3*ysUzf
zx?w?gm1K{Oq0TA6`<JfJ3j>Y{H_9K#cKT7sLiIq-%DTuwsh~1)Ywu$B&p~E&u~>;G
zCN@eeM+t9kcP3BBvZf!27n>5_=FO24-ODH@wfb}TqhyMOOHx$%sH&5(+7!y|tx5B;
zq#k{SLJRfm@|7#$Phf0d(A3<#YURrQycNd~tqwgZ-C73Oll%O6^X9=+RD*u`x^>p|
z53^A-M#sgSv9kk?)S)(lWrwQUH2*#mEnf9w;BGj3qGJ_)s`6dJ$r>G4<JYfWm-Ec4
zs#2|S9r&ZlvCw(|b5a!ZD`{t2E2N#O<#3vlc|s84gQ2ugTykgAq3BW*3?}(h_LTlX
zBJYV~h?g&yZS1t$hZq?&VogKwc;LW=3K`k?ynt!TfkApOk@~o^8F<Z?y1L*;JMKzi
z4x%PbG!G`=?S#+<IJ-8Fm7QG+WtwHJpy^x(o{znShW})d>}AT$cwUh43OGnVDm^kP
z5SV(zJ*Fv^uGfw3rlfV7s=%|md9QGo#v_etc>TKRekEEPCg3-$xt<e3WrtQF>V5x9
z#_W3^bl$rXCCtN2M_~gTpM!J;o_cV7Fu<|`uoV*>4N?^>2LAgqvJXh?AU1ws-=*_=
zDOR|8KK`Q8%#JiwDc)keB6|%>lYZYmQQ6d%JExBwJz5dZHq!l?5lq@*DlzSaY$0{R
zDiW$A>}V9z=u}TER%f*X8K$^_nEHV=HFb5(R!%52LH<O5@8;%a5n<sh%(zNPxm+dH
z+tYIm&+7X1wW#W2cB_}6=Nv^Pa$wnoy^{hsJ1VEnjw4IHcmuC}kC+Gy5*ckmOpGss
zxtSS~mVh0ak(FlJT3QfNXzX&h8$SQ%N4!n%cWLTDXqWqvxz4=3rRv`R>CDBYja+5n
zwJ0~}sbIUmBIxhai8GesHS_*cR2g5tcFh##yEw(b_Qk`9u8zqb#W^~ye?lmW!x3nP
zK+}8U8*vNXx&#@P)spjN^V9Cbx#KZN^zlD|%(Gydnjo-QVxb4t%UMf{!>xg<w&Ky3
zSWjKIXQ$5O0T7_Rm=qmFGyl(zp^2mCQha=loje%^Jv%@vR~Y%>IvJ=?T?GJIIFCP&
z(D|<Ag`~8v50v$d8((tV++18-930ZTiruo4&=3b%_QRoQfU;1*@{5X!BJ8bspZX>*
z55le&#CZO55@`+nO4^!ST;P`FL`**lyg%2}q`!D!${z%7`3MUd%YU`Dn&sCz;zP4C
zGfA3Hn6~<?+T!BkmoFcLhaVido%;XT4A9$fXgvFSM~9^)s^R(jZd|B^=u=5UBOT`<
zl8v}ZGkg0XB#dQcirXZc+uO%b-Iw0j*0iIncAyodF*G24+<pE1?EEGQeaS{A-|mqD
zwUIM1z-uaK*2K~r;g{KOR$EWeDX7q?I7;&RCCfK2wUSdgXKSmG<&^AOi8}%Wl?}By
zNGYsKC`|x{Cm>1?aR#3JFzi8ELV7HQpBuY13m$4N-=w4zuX)nY-20ei5dnCx2;t#8
z0(D-fsB=nB9KQNERxo<$sYMGHK%(7eyi{b|ZHwFKU4xQZ+G^uNFXv}xX9WpxQ_|eP
z+~eTn)k=GkknkZtzZss4+URG8h@MS(7<-8D3%LG<iNRDD#+WK#`{jzrg^G;>)Iyer
zoblG?kJ11%gKPYhxdT?cz_O3KV0jSF4m}DVLdA1{+iCBSK#0K9OF_YNNDC0yA$r7a
zL@f-VqXa$-a$e_wJ$-JkphiU&;|3@U_<u08yHH&zDwd(vgG3)<g~Nvq3DoneWjpIc
zH}m080G7nFr%uV&{z028l0p{MD(u6Q*Zg+-a9gl-Y=GaP>Vn@Mnt@G{Yd{U)&|bp6
z_cV^1<_H~)@Khl#LBT;3?aZ`;Qc{BU8FEWc<kK%(rW&KHSRdE3QX1sHX@E^>m5_V&
z?&Q@1N{BwJk{;3*HI@9=uB=beKmi7f@fjW(J_3&udrNrl-gyfaU~1_}1Z%7#Yi`cD
zz}xw%DZ<BYyEtj4=Dw{u8d|ezf<Da}_B4~wQ<8iPyc+^24sqaJz#vd~K%${6>)K66
zd0cqdZH@A1s$ZSAWao+U2O}RsGmP>N4y8&cQ%;8}uqM%KDiIHI@E)<su_!%FHTPtZ
z;Z;cMsCh_n`hd&^)=f)t)|ZaIF@;_hlg*4}ugs;G6yX!m$kNf&qy##y>}g<QQt~z)
zhKzuH4uUEVPJNCT;<RB~GvdzmXpXz!u_{}$vVdYVCtIx_-RS{G)h#63j{94X;BK6J
zy7T6v9J}F=*VlA@1X#3AByIP)9l3w(!(GO8`*Vi8bPOBlBy1qF;N8A`C5;T+zApfT
zuN%1O^Mu69SY>}+&viOEKO~9`mBi6Z_yrta2wk_TYpE!$%Xt*VG*ln5kaCg}h~=N;
z0<^@Jq)6qc7`Zz9@@d_7A3rugAoW!QDg_h|&yVhZqES_%@|e1yDLKJJt}>+|<iq)1
z!T5DTfGM8uMw!oeuA}>8^|Bot^pxl40d^48Jx1eV6^k1cu6!*3s+YGiU`ozca~YHa
zb{cDf!KqV+Rp<U+-x$47oc^kD0;7%K1zo@8UCYkSh858Q<5c*5ELga(0ZA;5E%ehE
z3r*ASNB(|p==7?GHSHY$U?q3Z1`g!EwxHlj2#o!P3^)F4#Mr{^I+<x<VJE@sVOu%1
zA)pxJzoD2S)c(8dzgcIrrf@?+zGc%Uta2StN1*5-*j)l%^Tv%OU;@saO90P;(R?6c
za85&s1afN4s#SN81P*T+(#oD1(lPy9+P3h}O+o<Q>I&s8k-51HKdBEQexDPN|F)c$
z{=hao{iEa$$Yo_qW_=aPwa2X8@W4^z{<j<hJU=Wpx3bLAAyDGk{`IS26j%WK^V<5S
zXJh6s7}o!7^M}83pYx{;WcpwK|NGS^Dy;`miGVajMg>k69gYO&Y5kYlOME_aH*y-x
zu^5G53-IaLO8_XyBzA-vGDUE>TkrS31Rj^Z?>qpl0tXx0lufhiVAchqhyyGwFC&9S
zn85e{5~0dt$%1LcaEdh2jk*D8I`AuGqGno_Fg-_nTumFpnf{+jSB<}1p(;g$Uroz<
z^G4eI!_V*Ef5o$+UF+^$$FX4>;eUOpWC$%_h<=?(AF9FudzWgAdYGVH#r6IVogqO%
z+#U{~pSw<!*Vby%+n`J7Ki`e35zLzh6Ik@2$0xM4cX&K`>RZW9X`Fm&|Fh?Ws{O;<
zkHJjLgDR^I?6~?iR%M&fa^GT4je{Y}muH&9sno_4oqe2QcP}=6m1dMY25%4QDCo^&
zU&v}FQT5lI4G*6kWH{ufQnKD$o%z-m@p@zs%&#)`Q+-`>-1=91IFs^o|IhPB`<y>c
zi(4u*Ob_J+3z)BB)~wD(PQye44p{!T!qzPQ`J8TIpi8d@y-Y#zZ!`ycFcG`dvooR{
zcMYC+${2dxIcW}1x?=W8j<T;Mq|`|Jt?0i#E7~dhw^k@Rxr`yV;asgHZa*<Z1!UYr
z9khiX2za1t*5}(asUBDx#{zdzLuQ_ISXFF*{8s>KM9Pl5XdF7zoL>LLC7k=yz|Ho^
z5>HbymJhiErabKMxOw;PZ^-%)0S}fKP49&0^Z4K^Oy~<%Qdf6?Pw9`JKam5V3I0+~
zKQMs|{$tSeY=Kw;np6JTX;~n-v>m^i@=-6KdLss;Fl_p<Q^4xWaB#y|Ge#ICyl4*U
zU;EFG*RgclAcn!CCJIvHcR(14RW5w*Fr@|H(_Wb2v{qh^oKXoy7eBn=eQK)3o#b-M
zt7iT|m)_L!fH+td^tVN)PrpA!SIcyM<MjR^SuisDo!houi#;}dmED(at767%HyJmI
zB7}6nu%5bS1BNd_Bbob_)pV4}T`j9YH;jR?(TLnVp-_<Yf@BMU-!||ACk$&L*f71*
z%$cOigioFP9XjcVR0qvY!|?R3MuzI34=jpI{eg0XIJJ_#47lh&{IzBJ>r|MvSRGhL
z+lyuix1Q^|$afuazf-^1%Hl|nq=)W+4B>%8Q3sy6E*$ic!lS$LSk8`_rxvn-KDXeF
z{?qH2w>t#X8og&au$@Bp3ctmtT^_`}iOexTSp&@$hq$YY^32Yah-W@Q$%ZdS70_5>
zr-uBUbZu-r?EM&W3o<dp4P=P#ObDVRALyqWRz%Ak<ZWXZK+_FnQyP?%mDNl$my_mH
zsca1i91Na_pDXw_6gFmNGp#CS*RIa(21G`B_>jinryzfpEnh2O#*e%VdT6nlzt{Ag
ztD7mhii(i=6J1p{hQ)@W2hG$8-<K;uYY(Kf@LPHYD-_@7GjE@)kWM#D^ysiMMAcY}
z65mvR`zl!A=R!b~fPuZ(BN3lxM4J_^cxsTKqo7ECwha$9ofLsN6C->d_HNAb{(C9F
zfnd1o*C_BEG9?|?-wEsHYYz$bN?zUbv81vg=Ws)33kc9^46fO_>iVI|nTI_5N}7j~
zgMA6aa`sAPZCSbM{PYrXPs1tl=lv)WTFjaylb!ZC*C$I*<6{O#s)fuqtBj5m!|O9Y
z(h+cwGBH?d?K9a;=5}$q^U6uzqwJsl=Pg{CGoe*t-Ys>y9Q0Zb6BRUfz|2Om(_*F@
zCJ!-f+w?Cf2z~xr<G5k{AIDt$)AA!clm_H=a2_OP>jlLxAl7hbo_)Ao<7?#6KvNa{
zSDaS(0qj!;<LP(ZyKUCHp8ji2H)N7asPJyM7dZ2%8|UpiKsSsVc!>!P|IYe<ADb(-
zzu;?ZfaesjgB-1Iuz{=qHYd{uDLs<)M)>tO!zztNuZwZSN^M-zpIBl0ZhpS8ZsUv=
zpb@L^H+s+R$Yx@06!W%VUtf4C+iyZZ`SWr)eh+<{I9(=CR>66$JMZt_!7b{xJdFTD
z&<U7R<^~*KkH;<ykTKxsypNGs*f&_@$*5*Rbf)jC#Et+hN;U!?BnR69K<hX1o^O%$
z9hi|DX1m{7oEwmYTgdcRWykavxQX@Cer`tmsSpss;?BEs=R_h*qd^uxHFzJh843yq
zkx2=F2;8`_3DRGu?W<&`v{K|vqC;?a!(GM!+x@A!1!9MaA(+iy7>TB>sJI7XCr~Fv
zm2a5-zzTV+Jy!@bB<TSVpuOQR%V(ll#%g1Fh1=}+ccYAgIlhc;ip2?fJ#@<#6boB?
zdcyPy{O5lJKnSB2Q<ZH-oMTXyU1lN{jk8w>!XGY!MjWjQidjFNf%oRW|Jh~gyn|{>
z*y;mpO#+%{_QmaE*nQZbmzY3{+kLs$v;Uff>P%Ikdk{Mq{byxNuVCGXf<yIC3OOv$
zB0=?l2}R`JZ8iwv^BZ#p;;k{RncssL>yxnopnrbsVTYa!LoX_)%-2k6p0^MeyjeG(
zQa0)|z8!H@164^nCo*90^3ioL33rMNL&J$c<T%imK|(l5lvq9Q(Wj&gk@v%2d^5LP
z1Ybas9w8KR#~jSUz+!raBbk{0v-Dv<j5Q18u)<J3$a4DNk%;%NTGelZG2*GP)yqO&
z&kt3~mk3}v4QI>cp!OQe7s~c^m7M+rJgSU2VhQ*{(5O10dx^-w@CihfMAmG9H<rH@
zaMMk4)4w5Mxk`>Q;no_f)&(omG<dLb>p<Lk0_~J&FF~kZsW)@rD99dUbx*9oVgZZ$
zf~b68;6$BA=P><N@-mey?trO20-D==?0zN|xS83^S!3pdV;`Jw2w*V0F?9KM$P>%@
z(U^v1Nkk*1g455Nl6=sRZrGnkO&(kcj&UG6+k@+&O+(`4g>HRZ&++8H&wDwX_lR2Z
zclZ2&3!^3~m^X3gfNp^7A;@^9pHE>lVvV~vQYnNRe6{^J4j{3=6PapS4%5@!Knuvw
z6E+$eio7F(XKrQ&7l*qpv>*7sQSgsN8da7DQzw|qIw6(@XxU2RPKJw4#}ap5_wRGa
ztgvzH%#q2()p0_|lCWIB^`;}SIX<*>`i--9kpn=g0jp#mVi@dj6OjK@mhepf`|w}y
zj>LZ=I@iuR=l{drn}_B6t#8A(IS~;eDj7;iX)-h_Ln<^+G*FV}c~BZqL@G4VpwK)j
znkPewk~FI{OQYtL#^+q&yZ1hR?;r2`y#GAM@$8O$*z%?OzSn21YhBlQo!5DS8*th2
zZ;hla_hDHpnpt%77XV(9X;5gRABLnC2$UQscNwOZ|M?l(oAEaRG(HXvo`y*2JO<jl
zqB%9Q$AloLh_q`8_1G+Ge_`m52w1QG^REnZA~M1UE1netbVjWx3?v09%mL72+~m~M
zCLwN#+=2`kp_q6G82|xmm^m(d876NicSYx9rlBtX0Hy$mJQY-Oi9VjN6EJE*uEL$Y
ze!dGEM+?IGr)B@_@$gMDJQVFX@K(vdGtMwnbBA6nSqqpuw!a2TS%=3vSK;G4_Id?#
zMEyT`#-*O+tumpYcz~qUdJB3Iz~F|7Q31Aodk<+5Vc@tD+Yyo{gY*TH$Nw|y5#`$C
z3BRo4M0Xw-%P<D;?{4PVv9rS^$R4-NAU4zG;6Ll`dUi)U<!UT2QILuTNJ9f{0K%)m
zBQiAn8`lkQ^isbHgk0lWV*Z9V%SqTIEpxUu|D;a>Pn%a7#R5?QL?CkEZx;6Iw$hKi
zq(?)(!nqDv{Qkyu0|`qYX~F&75#xG@uZ=Ga6stsVra0JsU(RXr$h7>}6+x5ELeCX>
zn_m?CnA=fL<a~!;D5}W2tA#Y6n7?nwpMN0(awP$Na2*a{9=E*)1)%IBUU($36Hi55
z9}(LRy8}ZenHJyklU?IR6Lw2>^yuuz&*}2rSEMg1%@?L=X~;c4cyQvqe%Qu=#z1Vu
zXMCS7Bi*`f#1!tmZee7`_3TA_NFo%9=|bDDA;ggr=^OFqA#U{nZ<bU`xF5ez60~3B
z;5X-=2Ybf(-nv%3+1KU1N;bK9P5*T34H{XoJgc@h&j1NlZ4GsHxV1OAf2Pdrl7N9i
zo(Ltzap}T}g{ObPLpV;a`4V@-Qj!)3<K7`=iU7}aQ`FLa(zr$>Oz!%6Sjf0u^+V+K
zr_Z}P@IUk6z&G67EB9?Z*5WV>Lvm(^%cWyIyWhRjtCErMaKBe@WpoOAuY+Ez8*X^f
zTFzI-%9d1LAPL%$rg0Fi^RTTV=kLDLp<&>Mut5`%jm9Y_3dOxM8$}?70hW90Ls5wG
zV#kZRnM2+bfYy^<EeMwog=J(k^N<_?od~r&kpo3oS-pif0)Qc4P=xB!L(9!D>5V%q
zV9pA+54N&anxV3mmX^4<IC5LWMd0Z37^r~-6I0(M)Taj!<nL^epn|-xEU|v0mB2(j
zx*~f6L;`easx6d74#nDRe|!aZFI+oRHy&UAF~BeTicsX48MjkU`qNM*pkM4VQ|yw9
z{>a{dhD;0Hs}!_BdQf`=8YN-Gkz7`L1Hk`RqH2p4n>7GPRcbS$CcCRXg{Ij4N5s(L
z*lgWck-~@*QAvl9e%RD$2HKD1Riilh0u&M@=yO4bWk;yB)amC8O!w>&Jd=K$`IbEQ
z&8`!-KJ9yIoCl(S-och!NHO9jn$}Fb4$|(|D_z$xfj_l&o>p&^ViQcVT)8^buKeUG
zm($Q702QVT$qj*JA{6g(!M=n$zh0!Kf~(Jw*sIn!Pw=|Aw~#O+4t=_Md)e6^A)&?U
zfS}ZohH@2vSu0NUg0wU!-r$1HBXk%mTnK!R3-lH(9<*F?bIVLYE+|2hYr#!JsKK<o
z3JB>`Pw?7^;+SwQhlBwlFUcflTUUs|`Gb$+M-9R`{;(NI<eeUrhcPctYEUmxc0abf
zD}Q=mZ==pjMh_Lnf>4G>_Y49~zYYTt7(MY&5aN539=uVy9Y2;v=lM>-{+bd;=&j8k
z-iIU*Dbj<@_B+#3!SEeIGmk5G=*{JvrAMfnn>XbjJh*|0dx|MTPkU0E?`=Zgj&m!t
z6_mz4*%h2K7|Tojy1UQ$S82aW;-{07=Nu?Xr-{aMOyBa=o8_`oU!dOt#B~PjXGgTS
zA-viSj&(w2=paaS56<$31PA9JfT5JZfE%I*5tYLCiTqul69(IVjYNRM^*Vq?rZCec
zZUK~fq}7ID55$;G>Y_leW@O($853T9cbTnoA+BarZAP$_f>5yyK!KaIAZJ42<^Wt$
z0h1Fd7%1@xoA(JpS{bZ<Uby((;VA``0bR#;d`b<MQ<o^GVJSiG(R+KZ!gl*vn;Bcf
zixN?a2bO`#NuCs&tTSZoD`VN*W7m7nHW)x|nVS2abmR=}GloaLq?3SbE-X?b7y9A|
zgTF9WadD@EYmiO&_OEjePb(%e_f5Yk;G`~Kx-t`Td$Lbawi6R~QXAC~NE4^WjSz15
z5tbSaCxu23#?z!h-9$5lxWLf9A)m#h!OuAqJqH>V!dC$}#^MH?L^;R=1^@8=M%*go
z-kAX9-CDr#kNiL41G#W3n_k2pK+a+x(x2XFI{nEmpU%hEofh+<M06X&2D#v#p{OFf
zbb0w-Vswwu@Poge8pJfQ?@BfABquXMRUvg&N_?E=j8{xYhN2?f$Wqzwn3||f)^<U$
z(36lTdnInyWP_Bt;98ys_YbRM%w7=*fK>ENvH4%+t2S|Z#EDTNzT54UXnq|bGg~+H
z+){sOBJ+pR>7hsZ5B4c*sAc}_67vbaLRkpS9K;)|U9A7>qk)!J7$zNq4w*ac%{7b+
zYX^x#u+B^}b_6bY7B^gnWE#d_WuxaiGKl~5xaF;*c(gcA`?N;&Af3x|6pWDpoD|wO
z*i|r-Q5rCW_7D2jXp3y((oj3#1WXgqac@IfpFwnJfRc-XoYM`(oxPJks$1QJU;AcZ
zR+l(LQMDmdaI>>ZJ-O)@Eqy&X)GzWEZ58t)-!E`t3US_z{Pa}8dWwRI()y^RGm+<|
zsLGS?gfBS<^<<y#UD0wwz6YBRh5VeKU9|lRsg=W@PO8IyR+lj=G!qmPLg>L`CD}3F
zAA5Aj2wG>vBMw!W-V10qvtrK4%{*cMxe_S9GbaCvi%$|%d5rA`au?shgJh0=BmE*k
z=L9T#Eau`|FIud+8s7^yG^@l-Ess7?J=_>uzw*j;w$YZ^rWQ~v^bz&Q%mPLaQ{O2*
z=2)3;s}L}E^pw@bxVJ=;4&ZLkkGD{WK{fEmS%knFNdEf9`W9^$7<685%P5`F?=rVL
zp=_1G<DHhRRTqxejf>URRG7^r^wmcCYwu;R&pLn2w{=nFLe?SIi~x6(3M`V1vfO7>
zuI}tcY(JDQIfkbZ1&{#OlI8v90QJc2a|V-`mBuL{#KqDL_GV4EtvON&iiR&@8wGi`
z5=N%4NHal7b3`%$*Mx2qmsC%{83URMx_3eMQ_pshWc1Px2|V>~Ia7A#J)Q6)@J6oU
zP8Ei&8WHiw*r~6G;`Ywi2dzeIdOc!=)h8~YmqD~AN~03aro|zg0`r!hV=Y1T<>L|`
zzML@Y?;Edtj?@!ORPK^3n<#8yYei-9`YYO>f3JG!_&L++^3{)?E3AT)<*m)e=S|nj
z(NhrxsTm)%c`yZx2VQKanh%q@po3;wJdL<qI7BXFAaO^$;tWQgCIIjM7O%d{T6`?r
zHN#_g(gEM^u5bp-5qy8$u+)X&Afo+dQwHFZiUp#97m+QKjc;dzs~9jddg)rim$Hyo
z;1WU;CKGs<a`mIhBfBkEv9CU(^yl6Pxz`hT`Za;^aFURH6X`TG=w;)K4Hb6}*PSWZ
zam9oEE|JzF68e_6fq0$>x)oK&B+p1Er=;`}kqHv(0uLG}Cu^f)`{%UIZJXntofM;d
zA_-k@E)-;maxWwW5ZXy~O^QI&f<73HfmTNnzY9pGz9pnS)%Y|iSPi%{Fe!qhx>w6C
z&nOU+Dfd0LxygH82g&el!+cD84U}$b5Pa~Ehs%D^eN7b_zINx^rnuxK6>$hqH|Th0
zQ`uv*3+B-1KT1VJ>8?(iE9fZ(bKEYlRoL|5=qde+XH@QUy7=UBP#%oGb6z&hO?6~L
z!ovH_M#pus_ag)i2H}A123@Ti<OXi!%c>@F_3*;$P&tQ>4QyNP5~JZ)Ftds60zk50
zv;4#0K|cP1zh}RqGRI$fmztHqP3gKt7!Wdl<+=#587i{sDC<Z~u6X8fC$PZS>`zNq
z^kynBg~SNbCJH(W2^?an;tmc%aZA`7$lVF$?Pr4#9rwdGN>aUPzNsgfbWS>7B%WDK
zgU%VoB@iy0M}r=eCbsIqv&oerstN$<>+!Bm#x35y%*1dc=YCHKHfvN4#hjP+_s7Hl
zy<d?4a2pZam3T(N7zQkue8-(X7Reo{@q?i8_>ZWvi95FO6viGWAvllqA4<$<W`Op&
za0&t=iyLYzys%`>Dkp3?y4Wjt!z^w{bCBRD1rZV<J~j4uGp-}ZCEcRgYMa2l=UCF;
zctk_T8=E?O1~FUNA&o!p&S*NMh5?#E1-lTsj8{<W7iT}aqwtVJDi6=D=IANgi!e;*
z0|=AK4n&Bk*H<2tdxTfKGyN^>d}Q#Zh@O{KfMA4=(Dc>{j;C%(fmh4P(ZK$<<ehHV
z)@L~TM%p%ty$0~h7{iL~3pj*pDn{xpV5czvBnAW?Ksw1JPx5>F5m?147Wfu6nZKne
zE|Ftc*;f-^2c%*Rd<}su4cworj|V=%;)X4gjG1Lr`^6>c&<LiLKnU};DL~*dt%@qc
zBhNs9SK|zDUd?UsHzb)nyeH*vQXNwP0k#fDU8R?}-z$xkm3UE`0|x|Rb^%?LmdT=n
z>-+Vo6?eztKt6TwV5zwuyM|uF9PZ>AayJ+~93lJ!60`rM-GQ36>bpV_pq(0SZ906x
zPFm=km#EOph*6L2`L|Vkb)rAjICkr%*w)x`tvwPt;y#}wg39EjPRbWN*P#3NQxGM<
zrioDbK;nLa+B%8LXf};fBVC2FO<5V4ZWMOGL}k0DG%|}V6;5uIK^=XU<72J>4n%Bb
zal=Pp-YX029GL@Dlu&ozub=rgSM(nr8Z&XaRCqBOe=P!hFi1d|_jt{sNj1(*+S!D;
zLgeMXlwT}9Q2)<oK73o#rbf9(l^6BF*xp6k^~QPM*yJg23W?rPv=H=W3WcQv^|Hn_
zj6of=bgp|ALarZarjU!q?cPYw8<0T&k0NCs2CwjO{3+c0xJcSdl^5=%I!!xGsteGG
zB~1268w_L<5*g4GsqqLfbBEvhgLL&1?@je1u}juQH;%;(DN5nslp2bBTjJ+|=tey3
z6r4^f{!N)=STDBg5%fjEe)>no-kY~zXYsu}OgkvraQHhiR<t{U&a?S4HeS>gV)q<k
zx#@S}`>vnJqJ@T!QghS*KyTZ`y}0_N*~H3ymJhgW3<Ax?r>V}C8#Ja{jZBvm^77@h
zSjjFeTe5(>%f+IBgUSw@(*_}ueS^=f&gIDQ{QZ@O4SSO6kdQ&h>^7U0<%iu^{#7g}
z%v>hx%bn9fW~uCmoIsWdNPyT?BI6OORj*dw4B!$eGRz{NQ;TRnj<mk83ZH_o2?m`8
ziH#%_7hjVm5@vw~qlvp7sV=}fB(Cijr|(7eZVh3OFE)!laO!<wDLFj2SD~Q#E70Xv
zpny@WpYwUbr$m8_jRAk+X<$ZYA}WAf7V4xRKJ98Qk0?6e{(CD};6nNkhu3I9Bd#j8
zEv1-A=GV6kl&6*aLNkq#EPRh9EQ+Jr?st3J_f9nprk`qEbzN^fcYcmlKXjw|T1xK$
zeR3NsJw^2a8qy=gC+raWisSTp7iZ>^x#9SJ5gJAQ0okZffVM$3797TOT8WLNw1l02
z3LTd?S_p&ay!)_`ssw-Z2<sk33|f)jgOzTCbAy5#QzpW1VXa<=B6EW&*&krabb=ow
zh#VQTeBi6QgoGTyV?q?6VS%3M08E+0LDo@-$)YZ1jEOLmxnTaF_f-n-!ONdpkrkdk
z5Zo9$wNR!+;VMLfV;<|Ai=2UZZs-=&oUkw==pG<Pm!QJ8^JB8})fjX<7S~%DS&HXK
z?1>`;@3nr3nnBj?ww5OiS$h)#6ix^9@Z_l%JdxMJtG$<L(Y-sb_1(f~R*9+6db2(c
zRhceobMc{0RH#3YZ@EQX-3b%e^<D=D0CpT3v4bVjnfX4K<F&#^LVxFcSy&WKq_J2<
z+yr-$w|VV_DLB-_U!D{e$$x8w&q-{Pbd`xX4Q|@xvuTFVpoqNxT#fSp@HI$95Y0|P
zszeJ32|tP#m!d6X@LZRW5VCD#erRDr!!)Zi06r<-P!6d9%f&p;V-d$76i;A4L2`O6
z*nzlN(t_g6zh0A;roQ2;w8GmzOGD>+y>~oPL$6cs{cHwc^~n}CGdMpth)NuUWg8@d
zm?R=NBKq!EVO&}0V<7t(N_uG01XVXLU+Ha9f=b}{G_B(1N50DFFJj^sWJ1!~jG!ho
zI!ym2Mrkd&ciqVGW>t`TPM4eP8YTZkm*Sy#nWMoc)@3|yimQ2LP^BU=^s4p|-`kXf
z1s@C>Ue*D}%<YZy2woA>sMBL6v;fbteL=B^nIU=!qIJP+-+C=*;EW&Xy8<jb;GA$|
z2gy&gXWHr0dV}{;*dC!}=>%3K_9mu`^%a(_Wv1~}xoMDfp<|#xs{F2datMQ|sMy`^
zZF*vR8)h-t<UHLd8_3BnY8heda0Wf!6JEWRjV9y42a}tbDAgh=<kSEXtVDu}t-HX_
z>5+BG2K2;XN%U)pOA_g9skKl}N}tIyZ(P=vzUoa;Q`_67Hs2*r#PiIhpP8Qt{>+;#
z(iQ)?y;OUyq)L{aQ8;sYc4F<|*DGVMuJtRPF|cniD03L2O1bDAyJGtSb_Uocr#fDB
zkoX1lL<P^4&;Jr5t$HL~>b9P9K-Zmq7-{FgHKZ6MgyhEsgNv>%vNl~Om=Tjw%ZHmt
z<oppYfwgkQlgk)E<Y5@XgC@YDa#yTsax+-m&N@@RtQkv`ZXwYnQ)d7kCUBAA3eN_l
z27ZDKurGuQq~*yy&A?p!7ZR!P<roEX#D-Pw`cP6b_0-M2X^k9FA|#j<GO$`}NxWRg
zpTA2sEnKYynmpfU;%!h+*~nLs-;gg?-)sLgVUHalxXQxUj(=;XF8mnsr>;~BcN_Wb
zk)^)@P5gHI;(z+Uw2S^}uXwor_s3HHy9n4H|6PRtuZwW|!s079R}`sZ;!6KLaR@ur
z@jVL^%Og!h_78bk0<c1idZ6<_M!;Z}0Q8Am<v{}s6t=|N@}EDNtcI%B>|@~nnADR`
z3HkUtTD30yg$@-FbC>dEB|<k}BY_DcNg??YVK{q@(YX4`&Ru&u?^x8E)yR-w@;NeG
ztBN-0CT$RNN#9n{?C&!t0<|iiMF~-vuTNcuDuzM{p+bA34@nNZPSkm(n2516{JgX<
zk7A0B2-se9Eh3aNyuNd@P1g#VCp?|B)$1cv#q&Zc$3$q(7F4wE%}Dye)7vJ%{LM7}
zHPhk{KY|Jz@&=o$n|O@P>T_;FqALzSD1WAt+Xr)!NV}A~lDm<YC0bimfNm;``<TVe
zC@Jd_$lA&iXs?>#ejt8?gw~Dv4z((}Ha~wSFzEY&l*KG$Ykd76sSbS5+8+x8nc)$p
zH9&#GP!lSIe@kSLmGSY7svT@ZOB!pZ{E=2-@`J4N2nap5XwkC(lBSi?pR&y;+&jMa
zwN&Dg;g5h&^3W`f+w<Uj`chEyfaCR{)6fD!3|5>0(t>D9qF+cVeo|BdeN+e<Z7@m}
zK_gmhu0xD4yf*gLqp6cCMno5p%$3@v@yiC$<rtS)tozipbei@-7@xmra-|BOor$;1
zbI)~R(baONb%x#P&w(Z(_wuvUbjf3t7R-vVK~7;xv*IUz?Dl=%u_yTPWHFn%zqg5?
zS<{^z%%k>ZXseJeDpFg2))SMDrZQZnGa%eVM1BaM9RJ=HcsI!t(c(r9Zf2l!y-L7c
zKd3clcc<#*RI}-01N@z`PLZ~Q&5UN3L6JtQf!l7Jd9IBa)^#D^FOm!oiLo9xqv%z8
z%!6R`j2NHiqw0^crDvNI3(}?{{T%d;pMgaa_X0)(Gayx+!*fTfMM!USRR^(=Bz-o`
zR&lrdDxcD(p@}a^Pc=w3(rTO-J#CbfnNWATm*Le1S={8?S$=2bG%OqF>0!;;1q_lj
zosj>NBk<yrV7$&8+9H-NrCk2^<$rM<LniJsPo`nFqUoeoj~bOAr06<<6K8J%)(F?0
zJ(D0zlcp1zZ$D6nkZuZ`!W5EPk?$U*LVGbrb<oUt<;PERVJ}($z7YN;IFCReX(fRC
zqV&xMSh3J^%Abi0)S7y|*4Z4XwNgVoFbgg~?P%L=tO5uiZ*V_z!}2)l+p9kzHBwD~
zcUg$`38Ah)Y8l)o?+F53qgevTu^G?^dhz+-ZMRsK?(4}|UsITLNCkT&$l;>P+-Mj?
z_Us73<UZRb&&VP5RZ`8zQ+?R0uTMxtR$lqAYvho$a$j+DWy<L*tV$dW4c>bnlvhJm
z5_IAM<YEw72(fK2@c&N22bhM85}SE+j@6GHi!w?r=XbX&U3sr{1z*HiY_bx{4Pa!?
zQMUo8@?Z4|c%B)$p)78|Y)R`MOUCU8P89k}pxnXsiLWy!JOso8miyg~u|&LxkQJb+
zz_}^D)_ak;LUz|}ySW#0sy>jXzfpgB@T{XsRZ$;zc1+)})slM@BwVg;t2gftx4xo+
zRyi`$Uufe0L@$R>Xh}pGUi%Cq0MdqsRYC1UV-!tBR4&-2vuGD?>+3HE>-C^n?(hk!
zC;!$7+f4UAJ7IOV|2I2fOn*9I>sxrzzDE8(H^O#up%KObswH&S-vb3gT(|G=I{34v
zijAoax}<V=_vg&=HY$IP31YQ<Ihu8XNgac#78b)GybzF>BUJ$WQJnabBU}%hPNlUu
zDa86|^R5*2&NQ5z+-78~_;{uNo%HmMJKy-o6taD|9n`te$I^|wLU0ib=pZy<J16t=
z-0ul`!*{x^Nug=|{P~;T#Kx5mp*@87nU20aYD>S<kRP)F%!H#!Mv(ERmWw7QRd)-b
zoq!|eH+Vf2r+y~U%xUj%x8qmRqn-hKw*cn7@v*9ukOZxVbIqmdE04EyQ1|K0zYROf
z)t#R_&VD*RS(RdQYmj{jW!FAFJ}Wdd4}LX2N_7Eyh@eIVpHNxeq=i^X;{x>!A(W#G
zuas+ltPQqL02`)>;bQiNROp05<Hw#5AiWvS^{5Of2g8Iyct42R8BSe7Ew@(`Nl>A#
zV1}kL^u>vJ3Irj~gd8G+)f)9=9q=R2`-KLxS(ePOjU`|knRGGsnEcm=hgFg^et}+E
zq>}<q-Ei!i$i7uu@sofWfk)0KI{S2ETVc}huaNwI_3V_*+RWQ`k32N&nv5QOAk}N3
z)K|>*Iwdi<J$VXyqR8&ho@iKXV`Q1d4eutvi<yl#;)7^a!!J{*D<cuVEC=9PLv;a!
zWndQjg7dNHv~ODGXIqMOQtUJH+G{M?gd(iyXGY;2ihr-LXOhr;E34WUwW_UQ=9uif
z^}{D@(CmlF=c$UWS`|qbO7C`Zd^UtyeL6hM3_0gVmy|IJ1`>9L1Qo6?uNC_PxV5!-
z9%3e*A1onS3G@euhL&{vop(AY&`baxDlqQh;J{6JHupPNED1U{@wS=}uUOnLMGq;w
zn6EX+F+h6&nv2fbbK@ysc0dTKQL5>hNN#&VAS!@`-n0_H+yMmJT@OCvqEk0{)%zIu
zcuAS<u;fB>Kdk@yJG$^Y#Y#fOVr7A+6nvgdiHZUV2*s{{J{i|dde-eVSfRnMS$vy3
zX@GU{^Sov`-TSEalby_zFB|3>g+1U*_Z$H&wFe>j_B$Pbr$S)hlU4x|t4bNbOml$G
zj=EEFeU6j>ncEl^z)mI?0WduMv6jM?(KV-QqxDwFna+842!inI_tQ({RuIDM_T$64
zdPk{x%+BY401avngffVxZ~6Q8hv1P5Yu*=l$N(p@jnjd=L2c2U)_bG;$$GSqI|Q_W
zuojn8VNC#_U~H8vT>G7$=tq#*J%XP$c1?~<q^1P)Dw0MidOI5=urmjtH)LCa)Zu+p
zRoE8+(XeMDb}kck=;0%8=)m|T`pg<tO~1A(3r95^p6e;NxZY)3&BU;jxp7|tIwJ(k
zMp6=nbPX3>iKZ8~{{S$C`t1(aj|NrqC58?LjIqg<aCf0VFJ5~cZZ@ZTt_>g)X~f9`
z55Ix{x+0FIAkXyk3=J=7g*kW$BgMtiWhrT)|wbb`{lFJp<g0%5ran`X1WnWLCn
z22We$ect7N-F@6rD|ECu)2Lj?S%ngJahWjX$Q|rDCJ6}iB-m?Mq_%I(CYcZ#nBd6*
ze2ToShY|RjB<n)F3b^Fic@?<KLi>Y&=l6eLPJ)I7d7?{f=HfJLEG*Ga<i<b;Xl2<s
zIW@pvz;h>7yO$l$#ggr3fq`4}whBNdAha~xq+q$rs#W#K_A`W)%Nqc=7O2yplOP`J
z?@m`3sciI#we@zH;(k=fEIICUb^W%+Y|c5ac;bqRexP0zY5ajuDc1(|-8BXZ<u7gX
z&sByA_vD6jtg0^^;48o(L5eduFg85zHF%g=)q!#q;pJJLC;!F`8;qyVp(j}ec4Nc{
zLT;Y6N&5=(i2ibyIjdb0R7V(x#b?nivaOGL(=E7I&Q2ZEQujjs)#A)h{ErrA`>m#c
zDx?-rUkNykalumLibo&as6<!j08$%!2OuUgRz-nhX?U%%$;OyMBUAiQjes3gzTM2x
z3nF|}pjlsQupN^zUI7XO$kHoWz?d_}$3@uWn&_IgT+bYH%#_9b_3gMN6^6~ZzliBH
zA$sF){rXkz!sPi5Zjdf;EkqLj3`tJn*|a;k@2pvW0tkW}_4~<kw)3K4?<EhQDG6_D
z8^mo~Q^dD-XTssMoI?Y;aWsRz(#J<0NDWyiRTZ-hrzDCO2dT#TOSkb6HAE~b#!^U6
zp70Q5s)#Wo-ag{Z8n~15^9++{@VGTA)We!p_BwZ0+&DaB$LqA`fru%<hRxr9<J?b=
z342PuhP|j?{g~)%j)yd^-F+Ef6}VE6_kb5CyeKhR7qD^9hIvSIONTL1lzt37xjr-1
z>2m+f*XU()R!bI8AXhh~yRsPQ7y_*?3z`4kGDz_&_pqi6J6V_B;bw%KhgDBdIt~)j
ze<#FrbaeMk)BpG%jaMCG<3Bb-IL!sWK&jKy+nqUowH+K9zZGn8YmS-Xl0-ohil~C8
zi_#^X^l_(uqM<}cowx-j2~+vQsgt%k`j;-LXc(y-*k!)>`{?bf7s&;POoK3iAS#Ep
zH|HB!Z3VmglmA-l84IQ2f7Y7C%~Gb4j@|!_J_l}RoJJ5ZAb#mwPq}(^{ue18oUZK>
zh`23QMJJp=cmK^dsh^!1Y3Sl$;01*sUar{ApX3gln>^=90Yv&ZKG$Hba=3QUkhX`<
zkwn5Yw!Q;d#jdWd=%J=nl-}^!={5d^z0n#oaw!kj9a)-tY7u2UX7TBKmXlHfAC|>!
zISm6mHH9{LDhIh>y}*~Nvxwiv!EqKkS9@MO<}^i5k6?qT7e9b3rNNK{Dvo&WlAb2%
z-Rl#w_>V?<HUO_Yga#mPedN0dxMMM6)J&=}(^-w<E7w$8L<%30w+R<~Y1T3ab_~XR
z&Jh<a93vEkmvFKO^A6o(EdQJ@c#~>X+!i0s^aIaS<<VffBpTK#c>tvyaCK93Zh%OV
zF(0KGRvY@2qETl@L}Qh9aX-5EvBTqMhi~<l+Hj8VHHbQj4j%UHkqY~D3O&fb{LPvJ
zHok_%7*ILsHpxWRD{QV@8rHM&abvN6!|x@>SqMeSPUr|&ZERS0u7V}`ofMp7MqHSk
z0j1&G%;w3-MMDU!pst=A<=Rn)Ct|7HPl7wP5~`Q@oF0DcE6&h%R5r9uE4GU#Hu9Ho
za&eZNv|w?JcQ9}=SnZnGkjk<Z0QEtv9tpOn%AGLgL8#l%w87RCL5B$xUkkySe0brI
z*!J-wr=1+>Z$E^4Gxl#rvqL;TPk!kDhzL99kHXOHf3&q(=Jbd00icQ!4rebs&K^k*
zIwf3&TSF{M*b$=&Is?u*Pvo>{I`l-cxFHirR!e!xfAnf}r!M1N%^=Kws1GQ-q{|8T
z*mYU&(j{+ZF^rXgbfKDZGxO~3$%lrclak{Pq}nXDO?3ErL=>faleE3v^GU~axZ8Zj
zOdh`oS13#3)T5~V8H&#CtUJ<#yk;`IQ;S~(icmzk@;8X)k6sln2giHMJjYQ%yLDNZ
zHJR-<)5H`QO3#GOdB&CVW@n=kFcKy|zSPxM3$TXckguO-Saaq`iwEW8osA%@N*Pr=
zeFxYh3)>a6`Z-YD9WZ>UxQ4Iz?RwPA$cNvi@DkyLIV-eyakJSXcR^pz2DE~-O?x+L
zcalFqDp52~tsOhLB_5kZsCE{3Kn`v}vZ-;IgKTS1F6)Zh?`$M?2-d$3bQpjha6KSR
zQ(3b=?eX|sdpW!mRq~!#Pc1Cndm0p57?;6mL79emhGDOuAE$639`JEd!u~DlI8<BA
zwob}x9|DgWFd+E1n`ZY!Aqku;=}9eZIeP5q*&e>r7fdBbs6_(C2KgVf2*O`$7RU!O
z#v};GGhOE1>dNi7`fB8gS9R__uh0<HwmtQ<27@BtD2sHG?CS1wK1#^gl)lRdbK6*T
ziB?7O>6f94VuA^Bbn-aorW~A3<RZBApMxb*%~21(o~!S)2nAG?wk44t+%4QM!!tMt
zcanF6V&MAN#5!ps@8q($r$n?87MC|^(ZIc$AdIvFyA6|lkV?Q`H$)V9Ih!DXKC_80
z7#}z&v=a4A5eTE3CGZ!IMjoHTr0-2yLT>olEiXuy^YdfZdjvqVRo!Tbf;HNh=pl9b
z#0LCcv*wPNu?{PZ58nIeHLd009}X;mxC9Up+~zzX=L1&_Zc^QP*}kx9<J5_J;)G7m
zXLwKk9EbiCj*91shSKH1xS0ttnPxsPPiU=2T=Trx+!mGkWg9G{HrO36+fBEQc2S-R
zSJqd4y2PXam9yGuFRLYF_U0Ho{h2tX^?vv9-D7dF+c`4V#XbtxaT8ObrBzo_N`KVC
z+%+A{tbJ*-{^9-M<;B`>4~LEZ$}K<4x1v*^%Zis5j6Qy5%Dmgvr4a`6eJ7#j)tG)_
zIg13<7G~GQ6#Mn3M$D4rV()$#iglcip65H2vzWr$x`s@l>`cQv2d)t46(JsO1<8p2
zTB10b)Co!)jEs!XA52U%5`A(yQsH!%s0aicL`AiNEbA*PErBlKaEPEJ!JbB-POOiX
zjzrH<AGQ+^kDl{aQ&*oQa}<E*pq+!zH;<&S=CT~76Af!%L5DTFwR+3bXYuf41{aT-
z<%IXPSeHdn@i{kiH(^a-n+^?±dNVEWUI78_HA8~TLvs6L4W==JN1*{>+<<>n4#
zy<R)&to^Lz3r*Lo20ivM5|BaU>*!<F<ociFmsMOMHpi=VvGCcMTTht7BzecayunY0
zfI4KC@PPz%K<+;^u77^3!$}&!=o7gadbw`3+dG1b3temu9X^bt42oBMXh9O*4Q7<Q
zq9068PHw}!2LQNoNo%|;(<{kW)|)nMB106IhBPfq$B^I~h`L|oUP&3+?D$=M@b$31
z@3v`%?6$93->-bzL=kq*T!L2DD|?J$J&26#1gZovZm%yIQ^C%VhWQ=_GwxpYuMm4v
znjdWJBZP%DYc@$3BN0X^Rsez3srr{F^`%apd<eu8G04#IUg8>@_@U8JI*F_3<e_7S
z`^JTdK~+o38G=bzxl8)`jrH|;sL@qavhxdj+S*dUlLM4nGtcbVH_%#LK=M5#OYop2
z0zwH1ew#p3W8J;m{no8`B@S48BEyJnyyfObAhm>qeiZHjOapuOm6w#j;?uy?Gzkuo
zsMp4~HDw;Oz2P8M=Z>JkvEdH9ajfV^#0*2CZo15LX1_ma9kS-An5fUi!W4J@wi%Q>
zIF_m`$DqVFo_3Q-;b?j6lR=X!+)twVV@+A-;*SO?&jC{sV1l69V;YO0R&kbNXrdF1
zJ4wgkLRhxNiK{Z*hE5YQS7rKf3Wdq6lufK=?Ait2<IDW#ezw1V>|+W6h$VKUo4Yv~
zpBglU;o)Iy{Z&*{G0s9~;WPlZt=dFlmx-Gc+OYlo#!uGCDA7Z768RkRCnSmEKc>Z6
zw1`N|ty_p-LT4~`1@$2qX~5PN$sa^+V#QI*K?~LEODGWBoUANl#S>s4K-kLM(lRwI
zZ65^dE7w3d5fy2=8TaT_Yad~`<>QwMU-QJcHZb5JnS6Qv`tv10IQ&2k1u~fUQiGsQ
zX67FM66h|nH$psF`}ukC@nCxBNurQ^i6@CiPBdRCg|kVrVK?}g_9?J(P`Rq+1GE{<
z`Wvddrq!D#?#@B=pu4Nf4ypv|4t!4Babc_w=(%YtQXyUBdDpw@LU*y`!DlUvUMDrL
zMuBuxk*X)tW3&lIa;V!BlX=_kF<6|TaWLEJw6ex2EpWC>xA0w-AdFLq9yjJS+Fi=`
zBUyL5SF7Se$z^wxH!I-Zx=co<6sZVquT~U54yHO6E~J2+2fA0a!3BzIu|lJ5S>3dL
zu5;XnB}RF3JS{&yMVfUz$Y0`WOhsl_PK{tffbp>9E+`$NeyL<UPdtJe9`kVSgF6qs
z1hT?>B=2c918r>;*vFVR-^s;wW|rQ>U4jRL9uTodp#+NX9ByA69cYCNkBs!9k1Z!B
zhbzUak$%-G&)-RSKctiay>dgNnTrdvM3C6|IX(``X$-8PEkyc;-Y?Ok-MPkFd|7pE
zW|4$Qa1ZVJ^_AG^$i`>prU!v@;~zr%29XAZ8-8dxz+8cjqp;yaUNDEG2Pzi?4R@MO
zhd(ns){z&^VyLS6q0+DWhK{;*QKBv7Bl-HPp`Dcsk0I#*p*MQ<tHuq83C`v7b##f}
z^4?e53f`TZ>^?u{n6obSS-BGY8R3$(#|?6yan6^#4n>>@Q9RnxSfnXoqy3|=y-c@z
z;W070ORzW@iD$Ru31SN(QANq?G0#{YoJv3bQ|3j=(AbzTo;ns;QBje({>$svEF2ut
zeS90>S#v8)yZG`gqxmn|54wgtl66+J%$v;SYMt(XDLeojnQhBPZ~UIj3a_XKIsj<Y
zofZ~dG69@Cc849Zkb08YGw=+0CU1(LKYt!>Y~PPzI+4#3TCkj)aDIGWTFPg)Z~30Q
ziJ`ujQL&~$6~m5%tn}HYg74!_LvO4E!cH%t>|eKVj7j%v{Pl+q>^pYoz|xiU7f@)!
z(5yNh0&PS;0Q(<E)YrQk7gLzn)_9-ZR50GZqSN2vR@Iq^mQttlSF{a!Of`r7e0!G_
zsEFnnhPExIoTpy=XGk-A&bt4L#XFc@sw99~B#y0sTL4ffys|%P(o<T8FY4-!&v-DE
z`|P)4qzn~qCp6O|Z*6eqP$Kl2>cYPcSkP2#@iCwJ0sd3lE_Q#=F!Mh#vB|`GnHb9<
zZXX&Up&Ue!pqvE*P|F>^e}J-*5_%@lIbJY1(OtQj=|z*l!$a>s`(`zBcn$1p=%#j-
zFxMiVKK!);?6|Dz$nWvB`4VncA}=Qa?=bMW3cq$D66(X{1Hd*!dXYhWPg+L#{8{~B
z&hLNm`&XtFOaIQ&lRtRx`VSF<e7l8qfdNB)i?8iV{w~kLw-=B6Gx(10T~{w0)`kCq
zU+yhh^moFZ{1NZM`uzQmN0$HhMaf$HAHBTamd6<V<pSWn{`dL*-o5|b$qVc7-$1dj
z4F5NU#JyJZzmEV#STrs!j;QN_(Tn*JG?<ZxLZy2Rz;}SP-?_*H|B=w0<Vqu77w?6I
z5xYO4?hFE}l?mDyL?%W5(>7S(P9-n=_1S-}h*N3c9|A+gm7bBl96xXtouS`mb=lD0
zsM9y0xU$u2A8&8f-f{Tcw`RJDy~p?*hy7k`ZaA~rggeBfOmkbWn$+2|rWzV>C0#o@
z;@8=kUKVs1WaAx&zU<uos`AsPuQiK&_WixjUfDxV5zbwc!^O<w1|gxLBIvCmn;-+S
z)b3A{jFwP@KO}AP<UZrEWQ&BdNn6@_i=R<nLb*bW-v!SWicNX2?mF)C?7_>Io_kd`
zga|4-T`*8lX?w(1XZIr&fa7R?y%rrC2j{*rWtO4M9jOaf{s|OLJ(ygMnv;Jb_ocob
z(#@i1i9v52NKjRiRu$lLVPRqZz(LeiAo@snkkMIK+S@6kP{u4RC^pj&0KsIjk&zLG
z0X<OyuYfEz=r=E4T7!=5FwlyMM)L0FCv(F{y-|fg?Me(#Q%PxQXlQ6&UY?Va6HG!l
z1?CK&HLF8J^ZomiWy>Wz2=5($&qfJ;u(hErZ`IgPZ5z%cHSwA!i4r@EBpGy3O~&Bv
z`j6XvzA_qo#w!E!lQ8;3zjf<0hUQ8uDl7o4_u3_hOG=e9)>VW%e~R)J1esS=UY-a3
zN-i!gbfpLKB9N~q0W3sG38oOJ`p;8RDjY%$0Gt890yfYC_i6Rub<8yk?_ySfI7Ji;
zVh$IAk>W-Rz*8Ogs#i{&UqApfe#Lh0?u6n8T0rL3*2Wl{L4`+1=jbmX^Y5#_a5P*Y
z7UYpM?8DxI+X}H7NU2eS1AgmG+D~~!H_)oxo_FKv%cr%=?Me$ve6hjWZ_&F&>x!t{
z%nlr{l8p_!O5SRsxVrdj_uVp<9Uaq7qh4t*tek3>3$Og00KM7;-id{+?IsCSY@n}T
zrU+js0nxM}0A$b)<ozJ7JWbmR=1*cN`1PE5sD4R{%cKmdxYi3_$B(;L2S0nJd*#Y6
z0;p=`WuweNbKw&nC|`;%>#1~j3#4N9Ug~AqY#2K`j9D*U{DzL8pL8Vcn~I8x`ueQQ
z%tHXrcJI~$U_tcXQKOz!26q6XgeXb{0>chlo#<m-zjKY>nyGCeV7DnT%Qr9n7TGnB
zi!MAFs>k3S;qRaiTiZ=&`$%skJV5$7*^{$QQcCucSa4BAfw8)@ASz)}f2*r+p`{(d
zpn&q)(we$Q2oqQVF)+k1BaT_B1%p*cY{UjX8j-K*#Y}lmPY*g;6%{9*$Zd8|{_yc5
z6cxESIMz#`0LIX|Qmm3zj_p3w*zD{EXis3et*+qYi)qY%t(I=70Uc;3s!xzu#D6}Z
zP$tVa@=UwR#W6LF_y`Z{y!^r^&!3Szohk>(;<j6!VJ=CsrRQ$nW@D56*_hu{^0;d4
z``f?s-BY~K?ide!1{Fd~V-fTUbu^J_L(yi~Y}-FLX!cp;GlVBWY^trT1?B@hnApn$
z?0K240sIere>d7C7!2pTbP7dfWVcKM2ZT{UdBV>`BQ7@Oi8WszzJ-0k%bzo7ezCE#
zQnTDd-y0t$-LOWQN?uFrG2Cn*9O&yi3c@>juk=B$n=yc5gYp}qq-B&js7B%EDJ)66
z!Qc>XUDeh46-Lz#q8w(6Mk=lBFtv05LJEX;gqMWohrZ#iH0&NOZf+Q;GxA>a5N~2w
zXB<3h%pf_RdYYSERMZ*AR65cUibWvsT=J5U9Pc}YU<kJ_V&;L#Kf{_h;zro?vD+t3
z1s_~Gl9z+S5aS|(LG_J|TdkELH?5X`^@_Z_Ja{4iq-r5r+|#%k$MB?#jF3gUTMt{3
zC;)(c!opuOP5h-hF>J@kzz{c=4%wO1lR3M;zw7bOm$4kUv&He9_wbvNk1f3Jt4Dko
zbH+LYr!oqxhTDPbO=xE%4M;D3eB^iOuzf2~1!&r$t|aVr7zhA~0ze#k+o|Z?yOk_>
z5a*#v3<v}3mbeHa%DH~?0O1ph@;(91fJQP<K*WbC!Hv15Xx01e$Rn~U;NdB9X8<6W
zm>9&|8zKXM$O33QK)jt{7T&pCfDO=iLlKVv9GfqlohWwb&>>#l%Fhp0E8DFo=3Lzn
zinoP*3Of}Y*n6RKsWhkyfocbbYzRN2VRg5=_AbNu(5OHnh=loKZJ0a(rh}+{_AOAP
z2$>$WEF^t_qT|&8F7G=v9b*V0V<0ZupdbgpRG7CANzHo<sRk&}C(G>#;8bt#>50`c
z)z_~BJqIXuses(<B*HzkMK6ziNAXH9BD5eba;~Jf`uN<rm3BrXsi{6#$1&*P*B7SL
z5>E0eN)gT@x20qGFUJS3So4ip==-|OYLd!}WVh#kS`hEy#Vlap*bZ*)^1>uCMcrPw
za>1(#V!Q6NSQ3O9fgo&8DZ1^%cik$=;<m(-hx`T)01b;TQ&Luj_nKyJmP17JcbFy}
zmqgWm2%bV-Y1mf4<nS*sAr+f13;-G?6@c7o20tY2w6Qb)_{O8@(P677Sfhe@Wo`ZP
z<u~wEa7p>n>Y$xhNxze!RNm0l2DSwld&iHBQHaG({P})N^K_^OY~)t?ip8DH%E^&=
z@eJOOpx#Y0WlMf2EA#J-eVl(#0pL#Mg@f-3AUv&pXA$Md1N+kv-!{K!>%Ay%pl0g1
zylV<4x-Mx;%7v*o<y875!XFk;Tx2$^B1_LwU6?vn0%>#{8|*N!d6V7Uk0Vl&i5kQ#
z^lFsM0-(h#C%4@#X5Tzt1HiwC$J#jF4Gq?~tbwB=vfx+${M~YzxC&slg@%889cR-V
z)B5#0VCGxX^qObYPTS)8`d^q^Jd5LIZ9RtAgH^~tlmZ?Gp3mge6hl*@IzJSq*`*>C
zfF!noK<Xp$#2&mNBomiDr`Ndf&pwN*!9)*^=R>p~A3of?r|Psk6wf6*z>C0U6EJJm
z2oOE3Dko>&^@;Ilh9JT=@Uv6f1mQx7Fy3Ds>w9|^m0|rv^!=^h1Ml1rW1C3H*=KY(
zMs;4linZeaXTEvc+<4zloB8p}tt-WUqXfJ%Qc~+A0A=?63fE(d_|=6rz>YF{#tj=b
zpyfbMue#F}o^W&|;~>&5tlnyGarwB@LVXy^SXGgLZar2B+8{vJ1RiTP;rRkWjDSns
z#ft!I<f#yV?mv8Z8BQs*wA+=nqI(BgAG%xQ@Ih}3ivx`yYfPz?i%uKEHzhc@5yYZX
z{poW8uLQlgq+*qvN6QYP9|F{y?7OQf*@QtIJSGw3(maO1=k4tc4(T-VLkL{*+7F#q
zXZ<-?6%9+R)3~9DNggJ6aXm}l2Sp>xa<_m$&F4f=9ru-X!$X3^tgKy^wiK8c_p5h)
zNd6YT%<Ds9#IEE(?E`ijU+G@|eG7eiqQrqtAQ}RZTW*uNaRTojkim|CO}a)i(iSLJ
zKAn1iqpS@(b*d-%sse~UNYKs_|0)}qo=<hi#MRW^&xG^D>dVT?Hi^irJFl)@kKPCp
zKBEMhl`ExWWdWN8E}n#t8agJ+moIN<Z0ze+oL>@I&b8UX{2Rv+trLTvK<Tr9z9zDr
zgak-n<Kn_&Iz6Z&OY_s1AwzjQ)eB;w?67$&f$TYmxxHA7xvc?#fsjZxZcIN-RRJ?@
zP$)|!mE*yT1`rN8K7xf~3+2w))J6dUhJNWMTv?FI$+zs3c9#I$Tnbu(HFz1|Is>~(
zGXbOP9gd5Nwk3M3xa!gWe5B=Xfd;u=4;x!?%%kgzD4*pb*I${q+mib}*8gf+`2DP~
zP?Lf6uEi^ULr@Qo@jZQ!k-?0xP@48t1lK~MjiE!C<B`b57No#6c9nRfso41#awCm*
zrdKjn+k-_r@>oS2RSssl%;#T<>lz#+Lx;OqSxJ`!8GyqlvE=z{m1W&GcB(EK;dQXv
zwrv}@OrdaHJVwQXwk7sLNoC?=hW`2u5-4QqJ}1TnnzTQO2m6+T!{OqK-`=HKRCwg@
zMTq>>1v^iYRNpB1JS$&=MZJUso^%+!y>U1LI!~|Py!i`SIcWL-2&ad!#=_UG-MdM3
zg!>Gabat(LNl8hnz#Nyckx_hk;*8C=W)Zp_-i9FF?UoUvQ2c~9D91@2j4#V$H65wB
zej-Z4$Hi~)XSzQN1xgvKg7^4P+tHqNZvc7XwG#HxjZ93a>R%E>_y!1nOetqpbN#k$
zS1~mVZ#^O#ffHIO0VRM~N|o*LRb<URJ1FMl<;_AE0Ia*9kPw2+;#48B<RX*Jo~|A}
zBJ!YOg=Es=Z+azJDz^rLCeGD0ojX~1ulzg6a~vETtDB?)9^n7M3LOS(go*`vC~?m$
zaE+;}KcbabsF%`^nSjhh>Lp7{-k8-*%ry-#7%s%p>FW>Hzvx06GG}gU?`P~PkZnQf
zZO()h4=xax^5UOB5ey6wD@#jMU5aHgK=}2%xM}<X0|NsBq_rjYd-hhHd?-=uG!JyO
zuwF%Nk6Y!J7OypWBc}$g7rj5xIAcP&d-Qj3W8K1k`JUj@y&N2f#L_2Es-dz&I$V>a
zDfBD{T}y3fG{b*#$>POv+(btgv%==Mq_GEL=!DpFKa`d#a`=y&VQEfK=W}uhFqMHh
zkaF=g0el?9Eq+l^QTRN>DnakOuJLp{xe%Xv+eW8si(IZ2U9nqTO%0A2vQ$rGmy3a}
z+@!tiUf;7ge^fS*eI0>#9ePO6Y<m-K!W;`82TDdHgHXRvB?Tl36QW#<IuS&U<cd^0
zAc3f@e;|B4<N3F0RzEogxgV<EzxwJvOark4jN|nc3VKyGNEQM@86`a*yWs{&`<i
zQ)2@(9)vJacsJu@&w+i$z{pozT)c_}wE+C+70xZO(dg>vc!9PWIG<6`(Xfgu%UqX+
zeoPK+JFY#P!d_JQCS?&HQb2M(+c<|Lx(aqE;B6tXR@}28+w7;mY7^tO7ctM83^*lY
z7u6a_O9cc3Oz970e;AifEW^el^4^&42MG~epR&vyHpr|Tum#qyUytG!j+OjNCIvfx
z{P+PIjBXWl&9HL!dY&O|c{O$h@bzlby|x<smW^E!f)fq{eCnm*c_rw<YF&!5Xgt6y
ztk$gK%C_at$Ci2`mpcp&biu4GHW!+SUek5sFkZ0!{&5S78`|JxXQgrY$HBx8)<Fjk
z)>Tz0Qnht-R3RHgZ}H0)wJVBJ%*@Q_#euXBpXS<tUUG>L$I^A1H>;f!qjrbO&?HoK
z;b_(kyJRKX*%;C>w|Ob#)wu_E*lA9wq}5tUK87Y6sNbPy4NJLP<bjC1TjZaJV(+1G
z0a(GvanF&a;juCP_Uvk0E-3j<%C6XdmW+K`_vlDNEL3SiLvrU5dpk#-UjOa!%Xx}v
z??%KW<PHrNpD^zJnizaz<!HvDm}@c%Qn>HQ;5#PD*GZ6&AFISr@fJ_eUpf+nE2>eS
z277yZbSZkcuCTaaJ3=kdofgg81^_#?qRJdKL?z?Soz-!LB_+}h-*6O1khuzMMduSr
zG}2TRM3p$%h;G|9R5^e-9HAxB5YBK)i6q*+m+k&0eGmLzBb`x;RB*y2j$L)&>FO<F
zacTEO3(%7!DUFU*8rB)!kcoeY1;;ubJ!tyy!2k?;R$E@UL@cCz>#MbdO{xPm_1Dry
z40>rcuB5vgES2y1DVlN7{tc>%1j@SC0wvRn1_oD<4HOn0+j$^xeJ1?a0Kk-`{ps6t
z_`fs<8)d<I7VUlF^MXB%?f*ap9-V9~EElk$Q7S2LSGPcp3~qLAv}6Pq2n_-x`#uOC
zK{R?2+Z`1?dc4gp^G<vBYQ9LgVsB4~pJ?2Vi`85H=K*ja2LLhFpLY_hvCV<6OULDF
zE<iO3@Kw=`FEj+IBNQH9-VsP0!5gdc4Xz4A@S!1dlw_@~`%wTZ-i(nY0(vPaJPxBs
zqyes+D{{arGS#qD`17R0p0ztC?L9t-+9=ZY-gi$-EN_4J=G85lG%D(m)hlD4J#b~C
zQ(O>JcAbIp%NC?|%*+Mgwz|4fR(a0P|LDT&`T1=~JV(Tspb&$64&&w$9`_pNsc<m=
zz17~RdiD@Z^<b}nIlB<jX#e1g+zdiVc%(?z6>eZU2$>H<iV!#-c2-u6*dYsz_Cu}2
zrQGP8h6bm*KAdv_e8BWAZ{6?at(@73ZQE{8$0VjeV+lF&Y7-Uu97V~dpv;b^`JbXJ
z#<&~D9#mUZFhl+uYF`}w(#0FY57^AggWT{8emKx6^%@YTLa`<faZWn&rE6f&)8776
zi334CBAE_FF}K?DR~QfSW9d}{s~@sko0*tE4xx5$$COOUix<9m96+0re4^Dvm2#Qc
zl%~?mOu3!yU$=f_qVer|ej&8wN>@pcfJ3?+_GfvVvd!7`LrWJLgcMi7;s5A{*D&{L
zAn|SN@QUoLEF3}cF$i?dBosEGWBv7`=n8vydMd6MqITCoK7lj=wXQINGr<kNX2Djl
zqqDOH*K>GyIL5abGPqHSp?GCR5eh^D^`$nN<Qf{7;p<1R?CTT41yi=7CV1ffijwVr
zmeRt@-Qj>^grHy@FVk)jJB=55j5P+^W=jJiccHP48;5<v9XxrMOg$MrcPMRKu8z3|
znjxJCQ&Fe(|G#OVZ<U|o`h{YaTQeKgf=TyHFhw!Pr=jV$l=7-2XVp0w9<eiiBE5mO
z^mZv1A})6-aqB(NvVO!@T=KfDGEh5?Y256<#G)lr$>;Qc6!xsR7$qmG`bUqHe-k1^
zDBK2VcL)n#{qSJ-rGy9=LP4{EmGwmVPdqdzP->&%8vi9vq0l_a$#J}J;R%c_f!1Uh
z@f?{lNfDOXR#ur``$>A{S@Oer?L(KZ^lxOyd&8&Cm82$bJrGixR?Ec|dg+s~m`RX(
zdi3K(|JKDWvNAU(c^zVVHXw3DuU^xyxEFAWPX+PEIvWz`IXlxchG&O>_O?lxUHYEE
zcE=6eFJI!$)i@?6#FKmD@+Gr@_44{(r^dJD>Pohm6*S%T+zYvl3#Lh_xnI-O`N$m3
z(q(B>Ytn6P57>FV()Ik?<=u}0T`kvs7?0xZ+qc+m783)SWe3nOChBK^pgwm;)vp-(
zcF1`q6J|}c?Z9qGkS)_(^R2Ce<*M*U&7~hDo|rp+-;$yKn8%Ls72U1hKl}3}NX7_A
zq1lb#gu%V&g>x@Yg>JggO@}vj%s#&0%MnT~fGt#AD7DUk?v34h4uZ-U14Uv6<2v3h
zVJ0)&`9$~&fD}geP#sCj$iM_lSVUxcypNuic0Z7M++;yHMJL#I?$liXC{b|>14;kR
zh5m!^;@`J)_%J)NGf&T|rXpBjr5sB~TYhuz$`&VKXJZo+VB|bHg;ZAbi>t$cSmIuU
z&5H`|aBa-3;Okyc5Ce?cz{fQRph8_`Ra1Wwcq@ACt5{HjOCk+C@|OIHugh1V51tRN
zbSqVs;9_ID)#Gl1q7;5xL_6fFB_BWfIU55QI&#DnsU{E&0J6xnkv1T{p;QCx<^psL
znaiV$^WC3OM}Uh;&2rVrsZ4Vfh2pjG_vgV2z1obfK8`e|5aD(QH4iBBAzgfV=|y#Q
zH9%t^9jMRZnvL8R;f5E1PO+6Lz>SU~t7!5*$yX6j=R1D+M27$HVRfS^F1MlK;d+RC
zVMjvOL#<#LM0BeU{_T@cTwenuz`%nWEkHDY%((t*n(~2TX*-Q8n-~GmCd6z!J;Wc_
zJ>p^N;3@=TH6|gU+Bg@KI(H=RdvtVl-Dxq58H!iOA^;GNj_yL{568{KoXt0GRwX7R
z7-MVT!y$r$5C}R=b8|DaWf0AQrSa>HAxQ1ra0hZJC&e%q6@SNYYGRPv(H-b*px`_P
zUd_hepqb&$go(qujZpDs;yWe&R||c=8rUae1UW)UeIPQvySp2hHnNVGz;9h$#R%Q+
z-W@-7jF@-h1E!he0B$2wPOuc4;=%RI%1VR_o3Tuoj%A%T7tknhcEaZ*-~>0|&`c}{
z)*meFEY!7S&((`6`eG#1t4B>2Q$Cyji&L@snL;eI&3EKI#yYTTLgDf-C+De1h59dF
z?lOysZr}c@tPJVmK|#SOAT}TwO2QotS0@-|0vS*Uw1a~*FhxA}emGBQY2_p10~0D%
zDGs!F;=&9E#G*ESFhHd0Z9&$DBheRd&(U*3nh6i=HW2Foz(?I}23!f4m<eOqXq!lQ
zV8?-^t<~fYH+fB^7=yJZhPD540ibM$Q(cwai$b25BmtX8k^-l~-^+ZE<M+-APeGpI
zIaZg51jDLsvGDC`J0%d}9#zU-x)cS#koHY!>E3<&5{nu@$dh{Z5mskYBjE8%&9V*X
zKfb~$hVL7I0LjDy?%Y{wE_f%f0l7drtb1RGgRR%|Y#wB)$`P0O>6R%aJ!y9wBZX<w
zv$!AH0xNVp0)=TjUKM7gq8ne2WM*ZpWI;FWqb3z4d|m67e@HKHQAVHShJV-T9-_K~
z)B;x}K434uDjBj{$l~BVGl0A{D7dk)k@PZfc_!x*(Z$LKSndx(8Z^DpkD(3y?u|q#
zbEA=PlxB0q_=U^vQ;M-l==kK>4?m^V!N?~#&<e?M^G!=B;o>ZRo1>J?QO}>tIaENh
zI+3Qmqhn(OWCawPPQ)rnPozSWC?b8AnuGT=SVagC{B>s@?iU{&9t8w(?b<a7kFl|_
zxHyh2x8lXK%V7`%#76Q!fRnY;W~C?MFvgog<7E{K@|<*?chuvSFZx+=g;AIP^V$!^
z&z?PNVUe=nLk@uCbHj<CDg2yYBYG|_^9)8SXc!`F_Okn{a`+<wS9Ur6YOKw$8|NZE
z-Uvg#(4X|Ya|hwK7Q3f`p;R<mbakAZ3z}{#*RG|PAilc5*pZp`DqpI{A!OL_uSjyC
zdP|&Nx?wLg6p)eDh@pizfkvl5!$mzkDQ+S%h~lqlC#3QWxUB8$>KZbEPE>mK`i2CH
zhJ4?%ZrwU0VMt^#s)*Tmf7k@W>J?^k;KpOxNjop4|5@MLaO!bu1XFg!D3l?RlEuKm
za<a2kw2cB59>N7`WVZ`nt{3n_cIRRAt-2u`DeGulh2YjJQc}0)b^_Bf;!1EH9N+m!
zG$aaQ|7hIYym?bvR;?TsX~><3HZSCIE&%K8<<Is$5tt$2gkS<^(<uy9pmgKlhy%JC
zL^C#cx`@1P+dr*tJbc`dNHpmrHf-92YItki?WvWWSWOj?5_EJ=C1iQu9334cX&3Mc
zEJ`ylA_H$bf9W(l5R7{q5E5$S6f!#I?h~QJ0f*D8#Lcx(lG%wLHpXQKE`24-PW5lg
zj`|Q8Vq_gE5Z)xZ9;qJ^9w1_uC<gqxX=P_eW|DCKlE%X0#{_(K11*n;ll5M(R_C}H
zffI?ra#<=K%y*$dZfK(W6QAf+|G&sz%N-%>5J?Y=60=1-PjCIs)2Uf7aHXoQ&aQ89
zi7^SE8BaGgJ$;iz$RUe2g%veb{qah1f{Ah&c<hPjBvVzO^M-S_cLQ}|S?{k91WwAj
zf5>R7zYh*FGca(tkqOxS7bLKQpNJsMfV~A&$&ssKDC2|nQ+y)atd^GRB>-MMI+X38
zFhL@-fxBQtRMeT^10c9V!V>kippZ~qZR+E46ty(8|8~D(jSTBkBWc@FeGuf>*f^m!
z=Oy|wn1M?BIRvpQse`9rYbVCbt6+pF=TBrHGIayzpgH_v=iz;au5@yiA?OZ>!4e**
zV1o}i;JZkA5<;Un6gjHnAnps*J<!)*Jb(TLd|T9t))~oNR@9UuM|JfE{u)D2ycCf1
z;_8L=6EPM;tfJSxT2WQSw|zU=u(+tuCN0G{7bvb^RY(4WjV<oX8pq3s{3ymzw<^iY
z593juICc!+cN9VwG7f+>XHK7n@`bsBg9EA+7{0EmS`}cI2@oDx+bD)sw!)qcy#~xq
zU;zLkbaZq~^w;lnd!C-|jNaSnZFvaccy4*fUx6-(2n!>1_!1#S$KnQPGdVdqccY;I
znr6r-WvF-{ppWt1$fzholUjh*TeohlU(1WUX3f9W{UnB>CV`s4A)OXVnZWgfgSRp=
zCf0v!ZWiU_Bo#1@OnizV5=czx%Ai+_>=7Tj#=yx2F+U*w{FYl-PFe{N1Bw<n)YWQz
z?d|I~Zp5|BT_rgWH3j%3%As-+Ng1e1Zo$35>gXN>R4{@be~7O%foa4}oQ6GlNed6-
zhQ#mm4&h?|<D8snV0h1=;fT+@d)F=vz$e(?z>(}MEDUgOfV}{JWq5rJwzn&sBls+u
zEyM{6d%y*H9++c*mp0tlBW38dwOdF!0k5i}>zxdykiP{K2aH|}TwI(t%t3JM-HWY=
zM6(Xp5S);as~-)h0Gq-N4NkNsafbm$fV_gpM0F;$o_u-N28!#=qff@~{~=)>Ihsz6
zgfH7FmN#$TVmwo4z>-4o;RE9I=8XiZZ1}?CmZn_p=KQGnCnPTXpU;0epJW~W_t}p_
zne|XGCQ0uG5YN9Sb*|L;w?j>#@NfVBRp8kCX&o&*ELU1`i*Ttu-;T~PSXomeK)vvV
zasbi_WQ06aPyk){s;Vjtn*$0^d<R2Y!UM-~-7B%Ae}!;JXJG~c*dd1Xq{YBZ;6N%`
zT3QPGbwHSa`qBA8gBD{T(BdV;F5s*m&+Y&B2u-2LW+PyLdyhd#Y8I$d5S?zc1J1rs
zH#F?U=sgCT5tWq(1r~d`x@V!X`TZrVj*h5rXsD*Ty1{@1g)-j)+m47aCk&0Ek#@Gq
zj>XN#ryLm#uGWKS?M>~Yy}a#TZ{219KRV21E(>7?StiOW92|r#QUHOF52*ExJ!O9~
z;0TaoSlp1tfNcYEl}!fl#c4ueX>33NNP<0vBT)yV_`r<CX5b-s&6ip~GE5qy@GPm1
z<1V0WM_UXS2F3|6+c6FwW28{v{M*p$em2iWZjz{7Aj;2QjrA@nDgxAn{IR^;3`rWg
z#Zh;ir^XC0qJX-yr<lC5{Au(AXyS;i0IB34It(xlZysHLhoAkwd|YO95z3__Q_~Yy
z3#NmBf@vM{>chjJ8=(t>@$jsIf_aeEQRk+a>a@p#K7*K}i~2PuC+EhEqu6R)n1Sdh
zqG2gSp0t759YC!~W631by=x1cG*qv~Kp1z-+U&(X`I<(tcf(V}&QU*iu5VJt20$@t
zw=zxk@X+AkU|PhIw_n{UHkTp&RJrUI+JL+%@u=c+GBYpdH9(`k51^(%0|~d44R|V7
z(8>)e;6@4po>nKrnOnGIY(PLs*H%W7h!yFrW@ju|fyzGGC6u)Hz0FQ4%{v*6rQ}(4
zd85~Aa+HWW07pK%iqG_rzqAcjj5q}b>7u!hyi9tO2My87O)5nbuAKJE|5DJylkmWC
z=drS}N!q=@6$^i)OQ<Wr`0yHtfrNw*e$==3>w3nq*-rHs0!2V_$>C4haG+)^TC@n4
zDa3wJ@e+CvNOae4+<;#7vvHO0NGai}46ao!=H=0;0X~V#pR^OCBhdm0C@63N<b845
z8F)p00fgaBi`GXd$RWs#0jZIRacl^5*pdAO^EzOFC<$Ys0RGS*UC9Eulf%w4_BN_`
zz79-nz>`rUYep)pWSN<rmGokO_kb*B1~kwu5EY#Rj8n-$=VO9%1!w>-aP;U=B;%O(
zLYomC5KQCW^YgPtTM=$4b7*GcvaCHDu`ZgIld~VaSqTrck8>efj;xjxlYjsr@gj^j
zfcce%H6FQxi>_2#wf?E2A9@S5UORzVx@MH;;bQ7ykeG)<tBtCHmKK?GC7?E-0HH&N
zJkAbWPQbagLdVPR`=kl<p`n{pSyiQHaJT5XQ0wp)Uj=;@H*6{PSxEUx2dZ#$CnE$g
z7(sxT)r%K^Wp8Os#_3fok3nj}Ro82T1_x(i5TCv`=i8n=T83hPflvsQEk|gI@|nZ=
zIaxZ7LBu{qWg3*_rj-%5VTn*n%z=VvDl04D_w{tHqFZ+w<2i&OB!H7FITiO6)8)##
z{uOVriDl0cV3gq;`R#0(aG6kRr_<W^?th^(ueFPWKM$czbNtRe8Ud_wc09+99Z!qQ
zvzJWbpU6NA#M-*QGSYL*X)!`(&jC?IhG*+oT#I!vfGD253x+l=e$Fr?Vs}G45lA&m
zYi&Kx;)c0L?1k!8HL;0kq2hTP8k6M&md0`nr|;sHqyxy(9+XUCHkY~nOLxWT)vb{^
zUGB6fh^Ag1ochxH6C?5~Su`{?(TCxDiy;^d!H2+FYPJ#ih_q!xBl#=7>0Br*aQ+)|
zKZ{2yAV1x>X%j=r4{TW^nHRaG+Tj|50*=5@$XJ6eT%|z<gHwSgj0t=dyeDjCD=RB)
zh>HMJCMMKq8Jsw{+;#bJr>vwOAKDR^s7)Yl6KncRi6e5x1{0@9Z0Z`y32Ne&Y1IWA
z-aFqLFr0h&jDe|%3FGF?d)!XS$|j>#Vv)%Zu{GA6mYz$){-SQZWSyj*UZnLaK((__
z(PwxG{fVFVfr+`(A`W7LFtFz>(E!HNl<>f);&@M$BzpcW&gc5}TspjJ>fZ|fNAC&?
zLqwe#y2~IWJd2zibP1PL^*A~>rW|>QGBr(;7|KF6?TCT;ojZ0QOwzsqKNl?@>@EN%
zWZDg+Myn2nC9gWz0Agfjs!^e5>4Q0>%O=krZ|Q{d0~~n;YS%FEpX~cz+`V~N&+8Zd
zn{C)h$UG0BBnnB!3`vL#O;j2vG)SZjiQ0B3WJ;+FNps1N1}QQR8B$6_MTrK96pHG+
zo^0Db-|Jkz>pFj)(;we2cJ+A=&$FJj?sebyGSoechLZCorg67>*^QjXl&6aq=W;+(
zLH!)x5lh=OVXP?J@pNb;N7V2XVa?ER=Z@4i{Y(-_orlx9p+4s0L8k~ZV|!bzS_NX8
zdGob^=_#!|Bqb#uU-AV|J91<(sl9iJxb@$)=3N0hhOb7Zmd5xE%|NxMOKGt)=-oqx
z$8h)$XD@H>heXM@kB(#itmYiPW}&5owRN^^Sl3nm4|RIvXHlb3k{W*X<Rt{Q%g@hG
zQ1d(C!c6mTAA|Sau-Vs{McKVOsAe*~dThz)U_nxXa<Y&5gD{xWM?eOU+`@WrGK_ID
z`FmgN8<ezW7uN=_EH%pq^q4o`1ED0Vod`f}7#jBXN(l$Q3nx4Nu4s>88KaZjU>b+<
z{O2|wMPL{<tdqv<&n1S?B!+n0rO`#JFDKeJ*t^Ba;6>)gRd7aDvwo2nTR-8YhUd$d
zOCL&@U6L-JV|Uul#wN<GV|d318yZd=Ozk>$WSYV`-KYmYOMO5JD!1=oKzQFjy?;OE
zgO*z;ohR*)U~=vApPsZF?m-cEpHR0$hBJfAg6e$>vwHaNz??f|AYpI9c;7=NL1(GM
z<F(*TS?y4Q<>ftl@xo47^}f;Le`qT|%)fk?tQ=kL_TyWxl}lE1>d|U?ryi<3UUpin
zc`a5|N9SI)>cb!Y;e~N=4;++(vR<kjIemKn+z(o|D~IiFqx^b%QHRcL{*aRL9QZ=w
z^Y`M$DWB!kb_Gn5epXRey8qLo?<YP_*?7kC<CS-P2?KY_*yd-m4dYfwwQYM)uGeMW
zCoVH1Mu;X$ky52&3KfxVPPFbdiG}$P{egR`s6;@t`FACg#O#nxmHo>FqmBN6lHGQL
zTvK|7bZY|x1M69Cy9h5H9vo6LLo&&0N`KUS<~1GezUXYxHEqiE&>mSDHCn=ET~d~8
zN7*d3^zB>2BGbx`D}wEnkk_XA^IcN&Pp2=K-lMweq_AZcU*CofcNp+A+To@Qm!csF
zz>{T?`QrKWIeHQa70(S7drCz2fmU?Zd}>)O4Tl;#&FFdUWa&G|E-((SI78Q4OvEH(
zgmD;h>J&%n4jHmcF?VWv!Tk^=55~(siR^a^0>jOllCt<}EWK2(oNhjB`c#g*tUZht
zJKRHW<$n3Pu1?ci{IW0}7(tWsMxT3k??zh4FYR`~CF$Hbh0mroJxnS+Qng#RoHka>
z_?a`3oRZTxbXGfBoQM6inn;l0=D(TuC^R1}0JY-&tPp*WS+#Q;EA!s>_70B=*tB``
zoZ~Q%&T93eR*kDU^`IQq1f*b<4Y^Fe^VOE~kZj*xY0N;90XjH}TT^#COvqpKFWz@|
zPKwqUS?B;^mlC38Ps;R5TCp1KwnCzuec1LECwrHZ&Cr;T8KkZ*xU;;$=+*7ur-D#u
zcv48?&u~BJRM{nB>ybvACu`1~+E|rm@T7K$mRXoC10Rhg4<0@ok4_=|#F<HzQ<so1
zg%!5%&;dS3YHEIMRiU}$I_lfIckgDkC^3Dlc%{T?*6-&w)M&%RjT<%?Ds<hM6f$ns
ztXZ;}fD&bMcEkFyO)&1G_uN7v@&qqZ&__MSuYWs_6OnV&{OyQJe}DgvA3v&?2$#sv
zUiUzl@;NgDMzhXbskc|mSyJ!;hl3wj9{D93i)jyGv04Cy4i;5p`B{5N3d;@|v}N-5
zUo}p7*lwo)6=k)cw~~rfx4%-4cV%V6)YpCtYWgwDc#l~H#W;S6qs}#Cp`(@acx<i8
z1j_|FI!cXC$*q`KWLn^5;CjDowt?^QpTbxPi4&W7)2gWlDP8&$c*+XI(c>;dcJ}NM
z=J}tJ;uE}?fK}c}S|Ude=R|T$tfIPuko4=PPL;4~)jPm6RhBOm8~GiGx1g+fdLAgk
zrr-$~Rgn^e3o#j+_hp;l!Y?I23#T3o-cS}$coDHd_WJ{b&|?I)>2=~<YCh{*xNSn+
zfelpi<;#YR8(Fe2-x?|G5cMc{j2bsi2;cv@OlA)wyquGsaR-0HZ2_myU$}AY+EU6V
zJs;p`L53%bMi9@4D$zM%=!KYvbMoXs`X=--IA&Sqwwb4POzBaR_Tb^eLbzFU92gS1
zp**_`2dTv*9JG>1Uin>tM~+ZcT_mOIlQpv~WRqU}Ho9VD$r$OpfVKUEPQp)ZIN2T0
zsTonX>05EfF&7T4zaR6>?@6cDzh<wxALEr*y?(t;P+NO%hG1WkK5Hsj@P@T(S(IY$
zEYf2bi-*i97I9v3qpwsOciR}iH4*k11xayq$}mQV14yZ|mQfwD3h1D&!=FSubu6eT
zvmBi%hk%0idwM=Ltk|>O+1YpavR)}ZyHn^0wdLNWq!d4$`TOr1ylko~>8h=Coyi^y
zV{&fIz0R2je|Ed_X2CS%6sOU}yijSLN4s{z*AHxCjFA%N0z4cH{`b6#(v4!VRla>I
z@6f_b@;oRHY7=Z)#K=QTI5Yd7)r)vULO~L&oc_ExoOob*u2r*rFadPh$~I>fRFsyE
z$G|fAQ0D&R<T@xR9x`<76s|~KFpg~`+wzdfx^ls#Rm*A4hP)5aVgc%c*X|0lh3dMT
zymieQG4uq8iZpN;kDsL}I)Y{8DMJPh9H^$Yf!qmijO}Fjl*OC|6y_8@q8NpvLLz2*
z+oPm>4S#08F6AN9nIfH_4al<P(F!F7R8SgqDnZguLcX%aa9?nw7v<f1Y+QVNw&h(u
zVUM@Bn2|@+BBV#?Msa4aO}|3T66{|L?Oo!Hw)^_#2sz7XBjNeS7NoKrXZLh9=e=mK
zeOe)5Wo2*QAnZISr`Z-Te`&VRh7=YVPG!1mlu#uJu2k=BG8<go_tb-jeVR`r3HS2V
zwA#6lE*fG61b&j?^Z%SShrAgid%>JJnN>BSX+|Mb9j>1T)k#RRnkm2O(%(QE1rZ@A
zsENZtj4|L-`N<|6ZIGe;`Lk&^X~KlE9(x1BIJr3SV8d`)g+FR7(YTI9MT$X<Cw3jF
zwO+($rw6~|{)0!4J}~p+an(x*whxX?&?|6_r=L{ba70xnjsDY?H&{X`^cTznt`#hv
zg@o3HX|(G(>BL^=xe+wycFi8%O<F?2Nesdg%wP|ImZ<faZGUgEAAhuLDN^h76AYeo
zdUdr09YV{{Ap)z{ZaDkk!Mw7QU+%KpwQv5}rp?Y>%|44%x1eLZkp57gs4M6@>0kQ9
zSt%hAORv(d$y8Z+&>#)tnu4cK)kcjvm;O0xS9*5apO2luszc{6N;|9`puzcNy978V
z<XP4)FP{IT>$qXVnfJF(qgE8Ov(fN{-NkSh!60E^533f#0K`+6u(B**Nrf23?2y5k
zk(f5hIdEd|Z`4<6%$N(v5`{AW-v@1>n<fS)s6Dvur<4!rSzK<;ECw2~Kfu+^iY}rt
zgIxjZ$L7%KnrZ)@bQYTI(7q~GcX3L<w5)%xUPeWxykV;4jN_A%c(n3!D6;)uf^_uj
z+m{}(V`bi08@--niXbQ7>*_G($p==-Zfp3*?<c>Gwam}c07#}J$_4AjM~3Vgf7Dm7
zsVgh(Sv2LXcml)3Kryj~Bj%5F9;9;e-<ymagnA7MzE{)*9`2~_WAujpddU3$)eG)_
z{K8bkKmX?k`J216!oM9F{yMOw)W2O;{(ATSb3Zz5MfpE7tAQa0veT&k7}d1_<qr*~
z#6&e`E$%DsKP%)6gk6r%zUUN5sA&(5Z1kg5K)+4o#vEGF`ajZP(q^w7@tcg`N1`EK
zClpt-9a0@SC@<RDL*wSHTO3QuKbt#<W8~*_CR{6bef2Au&^pfv1zdwQ(0K;3MqMKn
zXI0hI*5Ye!*6mFj2?-17-`}n>TtPwDhM~C&n!H&zstX4QJvf)w*IN&k6W^=9I`UUq
zeZWU6g!$?(Q4`ioQXf4!GdK4u_frL!k?N(@c}37KE<g(jD<|bStG&9e+pp<zB65Xt
zxyhct9^QJEczt_a+P7834m_XcuW9qyZ&@kz%J&{U>OaMGyj^C?X|*-^a+&qRN4uOI
z-&N^MxTlA7r`m<bE)AbDMb`LC7rl;N?|($kzH#Tytl)(hK&2^8Z0V%+?+zMx6ay)Q
z0lf?6FJE3H`o_JzU+Z+kyfA6`t=%91nA1K6$h~$gm=uT)*Iuw-WYuBzH9?2O`*BuQ
z8~`^R`Q7{W`N{Q^us!zP^>vcY2&rxh(ubYzVRJKc>dfyBH_N_7Ka`GC`@OK=EW(m^
z<A<fm(Qj$$R6nxYyL)%_$B#_;{=lI`gpANv6y!lLJq&`I1k^=tqa73nA&455b`hYu
z%cf0qAjJVg6Ap?&n>H<{dHeW|bZs2G{K<*_0p<#~D|_tPB+<5M_U|`X{frFX$|`hk
zdm&3k0_>O&ZWsfL7M8aoU^RFdwG(b{q9CI{<Iu+ziuUdB{sa2-nY8SBs{~_p)PXdM
zIB4?85AcV5c<){>x@|yCH67Zx2U_3laPVM^-8rqnD;wmO>v{*sEL8eW^-#>Q=$CZu
zCt*(a%u|L}Hc|@{?HD+eote2va+!m}REE`Yn{8!5iaCmnCvPLYAzh`yH=()f?d{#Q
z2_G0HK&wF5qL1nFCwG6LzGJ5&i<0%E#xAeUxP7lp<n7<j-0HxgLylkG8$Ca&zV?;-
zQXP2pDZIR}{le{t3{%4sRYm3W1Y^`hLp=PaY`vrr{J1|UtRVe+$ml*d+fU)(rDm4>
z?({|Jb#E3V>unAs^FmE?{mz{TvT5=xjy;a{dcvo+hdPKSFOY0K9u6*IYG>!lr?D@n
z>MfTqSM1jE@JSWtUyWJ!Ro6zQ{m|9dAF|~FpwMSBjuj4xt)gtv;zg)Ck`3(LD=m&m
z2QLe()MPcG%5d`H>@~cPw8Yp)!PW<3s<sX6Gt%>~hgJ{6HKL-T2qByrr(_@ibf<yM
zPJ9MAiez^ic7%{zwU?0?2vLAT0aKnn*VNF%aAgIs&?qf(!5@H3Dtfj&{Ga{uH!rPM
z$n%RAFCsC8u578QEP!PYIE~-~yGuITsHLJ><7(&LwA-UB%6*;7qTDZjpBmnjoIBv|
zkzE~xgC1M~Y+~_8ilky{=AS^WXw|wki27S@9n3?+6D8?eu7G|^9bMdnJt45F&>=p9
zRaGCNJbIeV@91~n8W`)|Y)4()LkEq!YXJT}@*h1zu-;42Gpe8P^ON^L&8<3Sc-<Z+
zU{nA{Q50V4FD~un*3(VNn|Ek5<}6C@)T`Gp`=!-zHRtBgBMJ#AhFs42g#QIWM6Msk
zn&C3b0rPJq$)7)Wt|vtio4{#*3+<4955EJ~z$d-4<34GBXM3?#yms%l%?iE8DZM)l
zQ7$cSQORqP(8y}ia%sK@tCC($_4(2P)tds@%xz^^SKtVH1|+c^ku1s-G1u|nzKba-
z?PNI^2C7dtkT+fKp7o#Ay)ed5X>bCP9lO0NN%Cn-e`KGjG5rhxbG?((h{iMVrCTAt
z1>lYNR!Ww3R*hsE_ujKsJPUv7?0s?1-NM;@wgV0LZi`{#X?T)+^yuDQN>=DCsJ2L4
zFC`~mX7Veq4DUYu>DLO?F6GL#QSkovG@sVy_6wQZoE(EMYGLKySw+W>9n;Xz5Cc31
zO^d!05fNdh8razZiDOibt^K?ef44Y!dtH21)6y|J&M9r#DpSXnSt9uwB3Qjr*??i*
zT0XwMat)u@F_guyhlH6nuK=4q$YQBh_d45qnI7qRQuTL=(5q+2JY|n_@$skeqD-~#
z-nDBgygnN62coOQN!afRVp>^E9s?W5D``#P6{X9M{VGK^I(GiXaSa)<i+9|214Y~8
zn5cPh!<a=1UGoeKfU`yCo4OR5ILTgKVc}FIrAj(D7=m5-GJ;pp`9H7XRYe6a0UJ)s
zmGbY-#z8kFnFW23GbnrkL2Km_S|=oA9x}v!xq^wm3Pqe~vj>Ya#HL^E)TE$YuA3)&
z*Nhh&%(-dwx5mnP@BnqAMr>Oert4gmwSx4Ks86MsAhVn;C-*2vuFd09zt-VlB@riN
zUt>Ewdh}@8hEx%eA0U-}c=LuJL*(!|KQ_U*0sb3YoU=thK-XWsbVb6g;mMVBHD6*D
zYv=|`SHqJ7zqE(6e%K)Ii%#aNQx&>5D!=XDB`B!Vq_bY%jSP-V+h&}XfAVA`2-wtb
zukx<%NE)|#cKeRGUAr5awmI<kp3ByH=0RP2R~8i)IIhyW0!_h8lAX4h_EgawkWJv<
znDz?$5h2SUSPt3V^y!IQo2IqD4lVbzOlwt=7tSGJ$w0XVV1bbtr$kjng#ZWO9q0{}
z)YsDv(^b^CKRZlU^efIh&9<#2S;5seBEqmxj#o!8m+aUvh#~Ux=kJplgatAM8&L{>
zHrRP*3a(A-rl8Q-WYEm7RkuFo7hTXR`hI_ThV%Kx)NijYeyp3nw{DT<%Q0*I*dKE0
zk<M|K>^twOUnXZ(JiS$wzhza$Q<LF~PteB*$-k6ea4vY%&^s4<O*6Fnv)!1PVHtth
zSIX7gn|<aQ5mR;5n0I1w9q%UV8l<kvtWk(q&TH5D(~ELiOX^MSv(?x*@XJe-lY*V7
z;R#yu;@PuO0&=)Q<A`RMu-FK0Ecr{ko4!I<Dm{uUgpahDmr$rE?i)$optEBBs64P`
z;=YFrnH@~2<+qGr>Wmsc{u>PjC`0!jJmAz9Hr1?4j0IptliZ;cj4YM_IGln`wQ_)H
zYy->EsVV`pWpWYE3_zn2!BtR@xmQlX?v78dU0X)aGpwbD42Eqmh>po153vQq4a-nk
zu(^kJkMPU>S&wPvjzg3ody`!Sid4WsL#?)W?FaDOvrCh+2sEULX+?kaJfYjRerqX5
z6rOL(%ASTMuVHd!8a(a@%R_N*^uoa=^EeH@o~i9~e6*v&=Nq6{->~%tHG)Y~jrqZn
zB|j>^F1z&d%ZhEm$(JtCM%qjP&uQqQ2}miU5v8B^{P|d>8DwOf<xZt$hPjPg^0q{!
zz|?lHthK=pQ~l{3<hnLhpZ-?0%}Xt)x4g$DR*ay}Ky5p4;DC>hB_a_rVCtzPQbcO5
z+KLL*6x;u);4d9J6~fVZnUTbhB}!To$Q_^^@yJy+NKGC?uZ$Quta!a5I8EWXWq&V?
z6)MU4`*!yBrYm1tr5_$f&{f)I1%3ol#JPD6XSen1_dsHJ^e8bdjwK$X?bcCWvFF&?
zWJoB}NaCQE=^Wp4rfAH~>={K*Z$x<LtRC6Drjz3HRd%+jnH9OS&KiXbQ;Z&%o|lue
zrC96x)7X*^{cp#W#4Y)_MXu<@1g{yF8Xre>L@x^_DoW#TA;v%Rio?-WKp8wn;h6C7
zVXQ&SQ#2yfE7OKOC@gFOo<lH1=NZ%KyV&6G+sDGhX+)T{)8dS>lwKJ4Pu<-#f~1M1
zq~S>;i&Y5Sn=j0B?IFfOnNaBGKr*mmg~3X_5_^x$SWcGBoIU$4pK!n36Khp|8-%U>
z#<70J7ZMVf36;hhAo<z`r5J0W%Xn*q-M1vq(U9a|^euOox)AZW_DJ+%w4_D0bL!L}
zMqR{;HYsQVJute&bu^Vo<TCQ}FF!cV(a*nDL5;4z_$9MerEFcW)3WM4M#pM=-1POc
zfx7#QwbfrKPg$2`wvi_Pf_|PF!J|gWDb1KtBU~imZ32;Yi#IoNd8b$49s1QY^iHW&
zMz9C%G6sR2LNvqD!{%>T!-(zsk}fNJ*<pyAy`SF(089>Hx@=e=%gL=-ls~w()Ku~y
zz8;t>LfGPq(pwBx-`Vxt+%dOJ759#6WqM_gm@rf{&i~+*$-}{YQ<%C<au;=k#HvTP
zZlVow>lWZydqM@pyH>ez59kO3z(aWeik@D3_H4oZTTDp7z+|z}@@YD+KYW-%9z*Nx
zUREH_Ds{m#>!G3GGH(u#tyLQy^XB?XXv7o@U~Wd%*4CsJpl$f>)WL1^t*g?YD^Q$V
zyRcOoFV%kGM;t_@cXQ(ntJrIHsz(a9RIOR~Sg+;!&RrIG_bP6vOsdsxkoGLMS^noi
zzu{LDzK*_?W@E6RRlxGk-lR|`COShtyu!T*VrNr*#Ymc<%;gq?Wr;^QJC(34eDPwE
zs%j14;Sw0AZq#a!2q-N~b_r>)S@dthFwGZ<=&lWB7ASFQ#w^396E5U=K(VY6Kgyn|
z&i$9IV}UQw)>eT&KW5C_1q;&neMw0h0}et=g;*CUbN$7OEx2_<9zG;>Cd&xU26(N)
zh!HQTvb+%B2Z5O@RvA_C>~`$jDJ2W1aXeP=uz;jw={UlCK{kHq@ZlQzsUxxWsp%L4
z7I}$c9vn%#$EyX$#xGj3M4|QJ=Qb-w9#)RNacjgGZWG-E<R4y}TV+CS`d)JIi&`NJ
z<uoJi1Wl9y>~E=;mGylFSB;!Fj}VJ8D0<7r+xKS`^qG^E*{gWvQ^c*$L{7SUH$K@v
zKxq9MA7wTq_Hb*`pvsqQ+ZG0g1MCWZtLdo^rz}GYF1M4V>B&JQEZ>O<BxT>ff3I*g
zIB|XU#;8%(Wt{4iX_G3Nts7U~U?@*=L0E#20%Ko9J}i0;DmH)z@=&L4t#{hov6a3z
zNc+B?qcvQ*MlEMevJ2KZI%aJh*6CG{CCI1XWg<^_tpl5v=K1rF8{(N15PIj-x!*{f
z<?M&u&o-Ubt2K30nLlFuuql;8P5vOfRp@R#(sku3^JAk!au-a^v3<EDQQBhOdRNVq
zHp?G%`gHL}!u$ta2c0|qEjy$19wpI$75$Uq;shCFLqeTO-M4Rt8%zG~Po43e0Uf|-
zdv&9LMfy$MmMT+3g${bNGpSeKz9T$7e);mDS$7P8uwp0W-aN&uRPI;UNYftPaOnd4
zsA<!#^03JR?=O|QvK-v*pj42kaOjkWUXPFgWS|LF03J@2$mkF=b`mrRul1y^;MKyw
zfSSCs!yKRGtTFTFuF@g~1v<4x+rCKusm8wE-tt3+XiCzhOe@-9(C^Pv;|M=MFZeht
zrCu)T)**VtfX%%uoputYud;oh+(QB$%Loybp-U>ZCPnH;i*1BqtcE9TFl4FfgW4xA
zCefw<$ZBSepm+H&bc%uR)_rX{1S_WPktT@?ICSXLLWS-lmb|L0j6J@}!QMU}K7!y(
z)UV1M0-nqy_K>-?rl&HkMIlk(v+U~B0J;`{l$@9L7Lx=t4fkJuuJ+Zb>4!!g{CLqZ
zVs)D0^`erphIRV-HAl=1%MbsUwSUmmZ_`eESS0sD{btU%Ta(l^Ew?QC5do>9gW>Yo
z?bdD6HqbBp%XUw5En=~p`RQ5hZfxxG04np=`goaBX#91<zK~*s?Rm~Z<FU$UY}&FV
z4X*bJwXlT>yqSLe`VIG;Mlev#zr(f`vuavm$Pha8F#sq&&7i9^OOTZCvY;S!o!TGW
zCUY*z%8UvwRou4Vg@gmg&mHsk{Sl8$FT0FI3>CbvYtZ<Z;%PN2U+prZR1_vtlIP(?
zsE3E#JF!32YQS+>_TeX>3>(!zF;Rl9&x+eUw<RIPGICioy~UN(*+w4>2tcwP@e(OZ
zqra`sc90}9vGQagw3Fom-yF|U+#}Q_RLi~-<t9xsDY$k1uT?uyLvcCnqppFU)C1ce
z7%lf|z#v6~_qld;USSa{v@LQJbxMNP>$LCawzmB6<X$JEACxOzm-k9r={3gZ=G)gr
zxr;R)%v-l2@SCk?<SNVZHxfQS%L{-1#PsFgPNh)40Lc)FKVatqT?Db!+#VNp$dJ$z
z6@z6?r4I5gpv9(`FqxoNy`0RF0%)*@!i6ux4E7})oi;agYWl^K@yheIjlTb;v{b=Y
z>He`^Bl@i-Z~YYKx36X9(bog&v1x<&(XCIP;W{ScHczQOw9%=aia<E*1K~ge6m+X=
zmu<i0pW3qZl2hpG%N%nJFq<?apAUE%6_>H7N>=~V#)Go_7Fwlu??UnUD{6h+RLXNM
zUldUN-;r|beVz09>eSs}ESol6?7t-lWf-|NTl)nFKu@n08Hqt_ypUP-O!XUd=FW<!
zF)Gq^RdZZj<E~7#E4^Z?9^Gg0me=o;jdOb_M(=Z%+5U4WI^qP~L%6tQy;!u^FWzN6
z9V<9h8o^ktKj}Z>1L?4aBs^H~g<j7r+XB<b2!op`f(GZ20RAtzj<h_h+jxfV(dxsO
z3hL49S=qME*4B}LEx=809wsiAPxCK1*k5xzprV({0?sn>qM1=cyE*msERb$`Y>zr|
zU*BOKpnoZ^?XLG>>AmT9yg$L89@b~NMl@^0SV;8L-CFh8mPF%ey36bGa^vT-XSk5!
zfw!5SUw(^h#|{q8+oC^rMsCl@yeg~Tu<>94Cy6!NCewOK-5Vdk4Fn|q69>zBa4|1A
zQiTpk{n5kw_a`~N@q9n5MMfKZqd7h{7HqzQ-T56oxEwNl`=&CuQ6)*c#YcVFjWts@
z7H=_ccpBv++qC0bUD@ac(?gEcq2Z^GCrX^Wy(nO!z^`8oK=x2dGR`v0a(qrxci4Kb
zM+Xkb*etH<%*gm;k#<dWq{1mJwO+J3q=wyqqsOd?9{`2C53ig9I5I8e^O>cge%RU!
zUt<)V1S1My6)T$~n{uh~6&1^g=~-HLN!m#wuUxsJrq(TXS;Y4pSu>q4`j>p7%iY}a
z9gnmed_LjMjqBH`K1hJz+D6@(RwI9Z*A#qQz;pyuN?6=NPfo{wLBO~yFmxDir#EW*
z_B)<B!K0ZvN3?dW$(+R*a(ZCa)f72O_#s2A*iOxyO8tfIBgg3OFPLkt(9B0kqc8`f
zJzKQ8c3`n-v|O=FO{4OmulMzOuq97SSpOE#XfwA@d4&Q7V@5~@32XB6Kr6{|N{)*W
z1f9oZqr{*ATaU2+-l1n;SGC&)MZ~qsZP}!NXACSBe|{4hA+Qwvg7O|T*jWWZbZJ2o
zqu;y5xUbr;<vD48&D4hJ_8sdSqg0)>w6+-shIMM3)j=Y<XLDoeq_(fJGl~7)z7wi_
z7n=<mQ}FU->VvSdFge#fK5xDFW%`qR3SgvRotCos^Ge20e5y8}NIzhC>wA{dYNI{}
zAah^pF7)}dj@8KSs3i!Bx$7D>=l_!!?dO30{8<bZL|?zB$E&c~cjQr~t~&!h5J*N0
zxWsNj+Qo)Lc=7~)xfy37{;Cr@Q?EvPX;Wfc$QZ2-wh0r})h`$IRR7>dEjCL_OG=ha
z(qG+WNVkz35cKO!pQ9{EN=)R<A25R(78(`?o6(d`?Zb!mfD;p!`lcWJq?~hTourFf
zk9*%sq6V9ro3rGB$7xi;1RF)Iz!z*;D(d!<lACC=-Je$m_b+T?ArQx2oR#Ea$nGk(
zegN3Cy4PaUPMFD}VkE+H2@L?0oIQL2EVFjQM*a}m51LEaHh+vY(>il^oW=PQdyVBA
z?fk#KYQZbWkZ8upruoLj#T|;?3JW=_s-9F{h@uO63#P8JX}Y3LieB7?>c~(y8=%6l
z1&$&qO$=RSZ?7b0@oZuGNz40r?kYnQz#-uE6r*QiV*sm(jy6|zIW<*rjozJhVS8*H
zM-P{gkvYdNYA)!6xLQgUcLu7w(4_cfzP&vQtm+=`kb&RGF}7gdJmKpI-*$DhD}2n7
zO9ywyWS72q7)(xNn*i762?HZKY1EK*KN!{U!4G&8%tzKkBN+LRm<`2BhUJ1~&*G@r
z4KAW<@u?k*=9)VL++6Xfq4s8G(J@Tq_8pnM(J?>FSf#`Cs;WV~(k2flpsql#%8|1L
zk9J(s*gR0u^>lUVn39^uQ+-97yFlpIs9HbVETpx&AEW?KIe@@<$0a{Lh*K*K)>#((
z$ZuFD^<lBGI!9?!ZolP9gmPERp{62V7cTyIjtXTKtp;5^y&g)&R<EQkaoP9p-d(8Z
zE2pN7Rp1dkUI^Wg{}cWUYrPF(%$_#|77L8W)I}*Z8$H6gn!C7cNS5nYl--cw7|IA8
zDot_t=$tpp4Nua}$nvnT*(~v?u&gSt_>gvcO$W!VrP^WDG-<kN0I>T$D<~LJcX#fY
z%(80_9=s>*sKf|HD@4dT0`_>f+gjxZp4Lyi4Kg$YSUe0km%tl~-^#^~*Y(?y!(2Zg
zD;`%DjlK+hNtN5ze%bqs%mcFiZ&GG=hubBfBAUXSWaF^|k-aI@Qf8@3CQ^m?y=a7m
zvyR0zB70-V^Um=xol4m@I)3m6M;!>$%~rDr=)Y^|u<DXi9fuoUm-sl(qM3egp#q4&
z#@~SH5-K#}n$SdFzW+eCA>rJ)wE*%Zt*uvG0p!|1ykm6(>Sd^ZJ+@8VFACsR&@*2m
zAxY#dr;f6bE9bEF9alihhH8Ye1P4pAyiP{9hXh3jE`6}Ob*omIvu1&TIl_G+-etXi
zUG$`IrW{Fi@)RdoP4cP0aSmjE7g(Oip^i=-u=$?K#0EkM0`J9=i>^)n7M*O8KG?D<
z%eEKUCT)CSPqufCcJwQezJ=E-A36xJpRt>mvLVUjsim-o23@^<JN)Kj9O(`pSIW@5
zOs&IgTni|q^<$S5J@3RAi^vOm#&4UIv3~315id<|_s-f<aAVikx%Rz62Jd<r>pMcR
z<*R_741rN{s6tqGjD{L6FE5WIJgx8*0P<X)*5veuwO4p;9NSw*OY63HV})r|@86H`
zfX!-8<xX!E+Sazs6{<)A+1_iQd~tT(kJ+j<YZi&LspRX53KKI#si)ZB^eh>RwhRy~
zG(JYFHrc;h1p_PC@YIU%2v)6G16HJ5+5YTTj>Ftt%7Um)`uqcCBCfTQ;SBk_8$8lT
zD<WyP-A98BNr&eY6oln7UK3?eT!doun_o}th;9_tw~siXa%`QuZOn&d!hr@>y_y5k
zS3UQ}jSzOl?Yn4D)TLL4uWC`CF-$&n>eHv!PyUe_es0voS^HCWb*vqqTUV9QrRB7T
zGn@Osqehch(Ny2*;Q`M_?CO;(eG3%IftcX0LMdV0sEr$$To$Ai5-`!(7Ta4&^Uzy9
z7~YT^G*4!J|6DZNF!&66k!`ICZ1ef6;O%Ftck$J(1z>k01Q98*<>;?sHQURbQjSg0
zPSET5W|Qf9+*8`R;+-<fK_@Q_wYXTme)RB_lu}@!pp4wroXsrOgm3lteEShOe-JsF
z$sx^}Oj=aYGp1ClxH|1TV2ejf5u1;2Ns64;J~!t5nqfYvm*?8`k(8z7VYR?u`TLAT
zX|n$1DYHBB{Nt07My|h63o8@Dn`SAK?>jjU84%ak1kvFs;SJPGG28ASaZdldeD3-3
zj_anzWDUKNH~*R6r>gZO3Ww8I>V>~taw$G;XtZsP<A8CG9)D<Y(#4{qV9Q;t5#^u0
zA_bJjj2X4#P4gsQ=H@0jRccEHn_gF^Vx4r}G0#IY>lYV*{8P8G65^x@^MF37JJAI1
z+qts}x5H8_JAeKIVF}Q0n8!Eht77gehJIz6*g=p`gmWHctDRj1ne2kF=+eI|ApN3!
zB>K?NNr{`#^OUjagWYr5J({Jdd2G_g`I4`(<bCyXSq6+>cS<8z!6BwPI%AgE&i#*M
z2%F4tD<dpxh1BsD!;Wg|SLW*mF1<`&OyE#3ayn@+HCQNT<07J0go=!q2OAkTXwV?h
z<^-XFe@c!p`%jucl#RIfL}pr3hj1=*^m!xn>0)%AZUo1vC1bI)(lHxRUlMimyZZ30
zhNgC-^}+|FPL`h+nR9X7iVWM)mOEGEU#hl}kO;pm{qy<qPEoS31QIEy={$E0YBivH
z_YHuUDj6<ls4ri>3?y*E-(NvH$9xa#QfSR@?COXK4$EX{*(-JtSTWP(wur$+s~#b7
zhabf6B#WQjLNu=v5^^lZgR91}`OxxEc9F+^2c&qEl~qmBq8oe*T?2ekD6lT^OaF>6
zQ!wovwX?^CKL|g-BnPAK6TLxY)m#U<_<WiH8Fn*Gfd!b5>r@{+G9qM*#|EW(fn<W(
z_V%X23EN%eS0tUh7;)5k8ee4z#<AOKN)PG>CnY7p3H$0@@3doSP{{ikkBd_xb<Izd
zv^Fs@5tgiXM!~LPcY&$G6h#~R>eWK<qk{)!z4LLH{JY~6g)1j!bu+o*TF1c_zdu6%
zH2fE#ZYzt$M|f215o0gUEz4hYGc7h)x%|fGQ~MGoUp{JNyrH4KLN7$C+mEkJ(@vy6
zFHA$}QSH=GB1ht9dTWef^8+Td;%g#+0#}EX3C5-ch8MFwv3Hv-BWQLQnia#fV;iS%
zcCB4|F46TT?tq~mnMP+CVw{|0eI`qm&>sLS$fGL(a9Hns>%oK7K(!b{3#VHSKwjVg
zbr&lKhe8q;z^JbkxfwkZc8e#ke`Al)d3Ser;<l75uW`4z!DSAv%~NYo2Qskz!p;Xz
z#@^G39DHNes)67cHcIuBY&;EZgN*1@lig$9m_2O%@-?Gq05u0+1yWC=@e59`B5x#b
zG-cNFT_^8sToiU?^8I$o>&_L8a&v2fL?l>hw3OhqWm*2oH-p@>e&8{kY#URhA-R72
z=OBE*N!+p4Sas_l2k-MVx3miv*5?dqBQY(^wP?81?wgP77VJO0LitM1A+A>Wjkg{>
zx$xp^VNlQ%^{GmgQP&=|XmQ*yR#$)9NHvMb#ICoOOzA+F;cHYhAGH@@o8)=$Zmf6i
zK8w=|p$N{v#h`}l*l$}dcJeGe)_6Qg@OeFnpHx(Ang|m_KfQOlZBx#8Wn_3}A9HLu
zF~u{ZevjX6qk8p8vaidxw;q<(WM<}`{xtE{-d+#G=LOeyc-8Ah^DgA$Uo|Oo-Ay^R
zxA$0KNY3lwNclp>kDGM<#dVfEAkZ~(VgHG<U>dGjZSrY*#IwyhKfXkGUL3l+angV%
zPc^=c?R3LLswrISeg5r-vD|jV&RvBKpYFUlaNtLcQ>94<`@HcTdp>^SyLd!-_UPq|
z8XEL(kMs~Hx?rBrbS~Fq(o#_D4*$G4^D2jA?-(R!GWk)LT6@jQimnGvuSr_toZ{R?
z;|=hT`lgfdiHZ1LUWh+^Nm}A$`cIb5$M=+31>At*zC}^`ltE_$T^AbVyzVk&SMP}3
zBae)}RNRF)<v4n=)Z$66ZCAy$8qv3(Qr~_$Pt_&#Wq&r~Pi#eFM0>j19si?8^=?Kd
zM&B4ZyTjP|-OQCOo$d^6ersd*X@q1>R{uvc8aW>zY&1!u?9J=oE+dv$lsidGHpL)>
z#fj3+k)x8`0efL0>dZ-#k_e;ZCi~`j&m1c##s7Jae@H}r@NY(Ko0rBZUb&#}i%J7-
z{g|tyu>4AT=6&E;u_0r|3o3K3fS<U6_?fF0D9=ul4B%e+<3mbSdd!t}q7bAoSoJWl
z<iiJ{dz{KxcSRrAeFy%-4SxVt61qfrMa34Bx%n9`B&STIMmoF|r|aSp!IGQ&>$UL^
zImgm4jzP#AnrU4#UY&O5z=0Onjl>NV-@5wux5hyvfs&j{!q(m<^xV0RxGEf-wDHVR
zBhV22_P<FGn=v|c!26aKL0mkZExSQv)3cbrH7#f1e{Yc(X+aO35Ur9ZS~bjkm@shQ
zwA*SeB;xMk$Mop!!+_DF>uhWkO-$^1^vDgKas0=RdB=NLEdPB`DoYY<4M3vcT6F6s
zP=0cIa*88KD<s?tKA;+Ketn&+Yi{2K<JVq&aQ#$f<Rbf~uWk?Z$0kUX6&H8u-@g%=
zoEWl|oqSSjd0X;~<}dePVkt32zrmyfb?7*U6SSEj+5xScX7a%}heigD9*2FAs;6vz
zr7yO&jPAtE9ZVbU=`h@k{a|aY+btzE-@CW-vbPVia=tbVI1n@-$@0#@`Nvgo_bz(r
zZu=9Y6Q6h$0!^$-^&78)y_@JTL9Vj0!L~zKX{c|mwpzOMm{tfDtHRHLmQ5DnRpsl^
zLYj|EU*i}j*;SuBnaYm)f5|BcoxP=?w+u_qn2Iq{ec0Ru-Xk_u4|#v9$AA-4Oj{e>
zTSNDkC1{r&c`&NWbe*5ssJIe~102W{jlIq`FhMXm4|+xw@0~2hpG=yf@aR#|_oPk(
zGKQplym3pc0_=E@W8@knT;KrghfCz<bjkvKe8yk_0n}9550Xn})S?haA0KDwr(L`4
zSP*b%Yt@NGdMZ0{9DYNATKY2i!v9_jL2RX!RnLSyWSsZ29+8_(;^XPALZCAd9)@_3
zu4mTx;>C+)Z;~_a`IE_ELy+FGIoV|i=g)W2ApLT~<bxLBgS&T^Bs+!`G&8TB$H^7f
z*J>ZvJsjk=rrK(7NlSf`-%G2_1n|Q1DZorxuCA#EdxN=rsjlv<(basWd8{EbO4`bX
zF9<rbP$B+~(ufgw^P)%RP1Ll5f>`Qj*0J-7nX~#h%huCYZmJ7v`t<SRxwtq-XJ>5s
z99><1G-JmzDdKm}!rfzp`IVQ2h2~O;Nl8_C2^Dw}&8-T;NGW8Yg3t#2uwd;0HB;@0
z@|I1D1CX(?v6@ZR8<IpC)8{|6@eK6*mkM=tU_^}75%c0&y723Tn~o+$O2VIDII=nw
zIOi&Ls(SZss0Y4^7(Qk-(|!&gIIvxJhpnl#ho@Q6{4cIU*uOBb=p;BZd4Sak)%+r-
z3dtUI*pUu!j~cgBUEbJi0Pwn`#DJGhOPCeGF|YSksvg}h(CRtLZWIa=#*Y_lVE#m8
z0QrvFCq1^$Z`OAs-AIfaV@?X5!o7l(E-v-lEB5M#{QXOdi^nj+rP73|T0;^yMgr%N
z@iBbRElb5_`eDD8Us`N-D%rg^pzAnz-xwtD{^?!gcvwgMfQFZb45W}@{U#%Bq5890
zvEtV4+b5_U$t}ci5Zrd*{vZ*U(Qk_@(ngHff)K#<>vtU1W;6XiMx<#JsQ-K6Jm8p>
zZ_PC{wlCG;)#?h9jNN4C-|Fg20b4F)OcCQFzy#Ffg%$2=z~GgJ)ji6fFX&qRA^}dW
zs~CAXL+Qao-;oEKx*$01+ZRb&|E^uLA#9adpre8{Im^W4Mb;+}oevPEbfdESbF24Q
z@vvth=Rmr1F3W!Su#$bmoX$gy$YIX$4BN?K-nweWoxfLk{zq(Jdk$hxbeY1KF?wgh
z`6K!P%5iONF|eK;M?U_758^<#wnU@nA%ml4Ny16P7y!T8X4;<pGqrcmy}W1zJIW27
zfV{N1$AzQK@NKDVPD}#p>EF){LTH4A1&!va{FEa;J|UUb9x~V@0B3_rtf3Ooo3s^{
z*Id^e22-qp76x0aP5U+(-G84a4c&rtto0RrSEoJx^667uMcRc4At52cqmKfI4lqSp
zDhWf@I<m!PZe4)VoBtcdaM`oPm!l1pl2tMfeW?{rLS;!T%!T!@FbG6xvIQ7S#bmCI
zPEObpS{#1k;lm7y{%E9{E%}?{`8Wvc3GWYgpFH`@Jc105wq2liK?aP!11!5khHN9N
z>%Ai2&1~BQweUC*UzYT&ZV!C3C?(M~`G;FpoB}y%SfS$9QA$eobob~^^ujlTR|M9_
z@`wDb6+)Dd(U@(Xy}-a_-4>g72jPdP?{r_)?LRw(=$!u2e({DprET8JDBPN@uWa`y
zWEtOt7sY8Rw;ewQc!l$KoYo&Dkv-md;>M@nm(DGoybZDSP>)SZpXPlF>quj1(%7*H
z)IFfowY9a_d|Y9b))+$j8l81xYOnu%Bu*hhm3A@&6rk7HPXhbYoId@pFSBV4g-!S>
zc!b-b3dnk(R$0e8Y+fP}W!X_KK_*pcCR^^#b%`E^olA|0P;jl&G(LNU+(s@@CwW_g
z3zH1~=kun6!FuQKNKW2Nc-)%}x8Ql|<_j{XXk%n8zplF<CZ3E2t2_AH^=jbR<~mrI
zL2YumBv{y%6(82b<f;sj8gn7>)`qVKGAY`3$S^8JF3}m=%R=IUm&M$<b7eI-Wxa|i
z3X(@V-k93=_YF@sbNw{aa$_bS{f!=%U|n24AUlII@AIo`Ez3NOW2bNeq0)yh4pV#5
z#x<Y5A!eg)!b&rP9e_cH<iUV|33O%PbR&rouw0eM2PVdvDRteAs7THA;>^n~x9>(!
z*h1RjF2as5_u~~yL2G~i<G#KIgDyhL(eQ-$1dCzYp?%Pg-RRBm9(-&+yYKzY_mt+C
zuzcVC5ypttn+6kF(b-o(JY=1as<1l2*|*e`imAgGuHic+;LA;}fLCykPU}VyJKnu{
zQ^SaBe8igY;fE4M0*>Wa)+FeleRn0=t3wsa9+vPjf6@r^HKDFpJ-ansW`HoA9pQC)
z-f|XPNKzmCCh<Ttmt5qUP{+6mz{8W|iQJhj2sg+md|WXdjMM%mHQuIPML}NwIkBX6
zT#p=+3R*o8ZuX5A7}DfX1fU)gtX0k*R98emf(y>e@5o3P1Y=gFN9UaAV!o|z1^<x>
z2W|oSmPQIeqNd6yL1^`JNUQAMGt%;$&W)X0JM>qzokD4dDT6<1P=;u5PSF}55cKKP
ziJqgP2h)jjwNOP72=O60$w5O+i3%7Dp@Wo^@i~jX7LB<%)#uc=HL4<EBC+*8N1;tA
z-&Pig<*vj0zsd*FsAs*Bj;U%Da}>Fi_%7a?sd91;G>q`DFo0jVp+k>O>~XcG2&2`+
zwab>7nQd+Xq&a=sG*avx0X8fD5HcvnxALZpFRb*Q)A{PuzGMEC&g_iCY7MSlKqp%z
z+8BRLTyU|KL{F3A(UxsYlZzVDhj(`_KfGzKjg3+6ixh{oYje+DQ8B1hXa1Gw=Sk8N
z@);r#Iq&$-JD`L#!qTCTdu4chli&G=fWNErFBt?cy!%XE;_9@OioUr;x6JnR=rMWQ
zkJ9p-(~~xy?yY+6Yfb#Rjc3zUd4S|8=-xK{`RAWycL8~zTO2xY;MMEbqY*7e&-)KG
zSmMAPL;<HlLRb;Q=h`s>VIqnMT-HX!qQ!}bOFEl-Vb$dm>N;6l3=N-x3cY&}Pz-+g
z_U#vlXF#O10&&fzW&Q+QeTY$u-%<L&u7Cins$M|;ve~3Z|8Ob}7vv?<4pM;mBwr1{
zzF<;F3=s-<K|#!w&|jpy+u=6FLgPPT!`n=X=K`tTGb!KCP#oFaeDXxJ&#Bma#*L#!
zyZPwR8f?-K=BPLix>`6&3`KAL8aOmeH`%Ey3&JZ_KTG$oU-iHrTg%qbRm{AV|Cb{z
zaljm24p6Khma~1zI-kYhaex1QojSn-n}|}tGJ-<)zX~X=Wj|-~lDP;uDD^fel?uXw
zxi-WZBt!gFk%3qMT%<hmbGorOyZ>Ymi7Oj5C`^~(W_%6wxJz5z%S&(?f5JjE@)+Nt
zb9^9;qt(B|OSC7!h^V7;oI%I#=YPv?#qaz7w|4ITb7H^$x!~W`_B3JN1jjc(C?fU8
z(iV6$sY-vvemHGE_Oz5}nkRC;>gue~OQ2Eg4HUC1`5Kr)x__Ce5OkbWJ|>wooxMD1
z|L!8~0aLd132gIxT&J0uGq1H?H*U?z%z?eu?YY)-?D*UM7gu!lo)}`OYJ2FOm%OFQ
zhrx4}S~{&gC9k<|kK{g+tJAM3tSP<depmkJi2R1{A&*{++||b8LwKLkDx?ZX@}UM?
zDT&%;vckq@n3968_Kcf5CZ7DH<9U0WZ12K_0>;$Ww>oB7S6`2z<3|9t+Y^?m2UnH-
z{q)J7u@N1~f&=Esdn}C7w{ot~miJ+-h@>njnRZxKL^RwR0eAcD2>1t_albtjJ6%k|
zuqcMN6y!psD(kTcl@^kszcgmp)4Y3#$PSY@&Xe$cx8Ad<X9h2XtVUfPFtPiECxF<{
z9c4Ai|D!CY+rxgYz(I^M$2Y2FCg-@X>P9$QQyHa{{aSSjN4;aR=p7Fmb}#$9>J%s)
z1St(qBz;GGeFG*Q)4GjC9ma@~946kd-vh-zaaN)rlw8-;*nkWxq~DQN|L9kH$Iz5a
zjE~n3>WzLr)-c8-!L}A8rI(^&c9w8s)72%HjboIF-ks$e)YiQ84+?Uyw471g$K1-w
z%FxhHW;x|#R;X5~)|iN=<HcA>cXtWP{+Z`s&LJ=y=ut{B%3!GF<!gHfi8(oRtGQt5
zqZ6M2Z4%`@WEkdfJ}GIO^LXzE@E*dZK4T)N4c)kT{pJt$!KVvHGFeT&sD)~xqRD9z
zM$Y@=pFruILkp|+^fG2zX-NM0=Pq27dJY<teGPspr3hGywQKQr;4iY{62}SN4z6Hu
zKAk_pK_A$n(9?-POobo5Ph%sV1P42Rqyg~bqq8VDi;9+03>Yu?lceZC=Z};!*g-U3
zBjk~=R;~~{c$hj|;@~6q`8$E$yRJB4RNld#E5G@Ft*_6%`b$m9KUhc%`S<YUucIV7
z|5q8@(|um7;n9g;X5#Crs`Ao{13ef7+E!Xx)p^89CT2{J(l<6TqBee#ect~#>xad`
z@&vBEBmRLUFm=n9d4fVYRqxIpV|0y;>kFG27fZf=_3ANzwcf5L-x%G5k?;MIYRuIF
zCi>le_fw$TLxVD4M({#^7Ry`UcsiFFl5TEpLx&FKr|xoKk8dtLD=YH>l>W1Rny<CZ
z)#0VT^tk-P|K68G+h4vD;=85Yf33ZrKRa-obMqfK8eZo^I_9YY|4@g}p5ak<?AY;Z
zb+yXM_ABQGg$tAT*|RS;r~FzNw#Z!1$w}ZjfZ+h1pMH1s=pTRAydbq~zzc@oB5Gze
zVdD?GoA2QdwOuznIk~Es*+z{t#3<|0PGV&)Iy#)oq=96+6=PScws=|X^qCGSz$>$*
z7+CTSP6GlJ4##qgQepHl2*OTp1_XN0jOdrD6cc1Vy;KW!-dgx>&Cab=e7{5LC$09a
z@gqPwWw2guWfpf*O>f)@kqH2x0H_H+6vprrB9|R$qtZVeR^0Io|2&W07r%Y`CPbBp
zJf1znx*KK}g)eEPFkR)8za4dLb=h+#65Dz@TA?d;Xe=@`lvlrc_?{I20QpXBpRI!<
z+|mqUa_~qLMuIgNyN_6qa3Dsi?a6;zRs61`M9KWh4?qkJNzw&6XC%o9#+BsrNofra
z={h!M;I^MMIUh=e1u0Kp-vGLdN=m+d%pZVcFOsEqhJ)m$mpE<~TycA(+fcW{r_Wfk
zMB4Gg+vi`|dqB<xCE>WeCK&ThtM*T+k9@2BAhc@ctXU2?3l{|jcKO(T)#M?+qN=<c
z&O4-M2<>=pP&F<jCMv@Nr(C8_%A^7iOq|*D3&;8^H5~l_Nd}Bebid&Tkc2Rc4tP_D
zWnk{f-W1d#)_=$`?PALV&E3ELV7XX9Fbk_EBddTUw8P+iYtNq#JYXZnq|6T;ot5@!
z@#!VZ(km@0!g|lOtdraP`Hvu(9p|6Q%95AeXoCVW<d{_NUTZc_OrZwm>R_Vx1#`j9
zmShU95XIS6+KmLQ*pjOG+S}W-ZjC79?)YWn`ql@fJpXdJ91()B8pK@)iZosL)5+%o
zYA*ZGykr;$`9C5D#LF+(cJ14KYcsZgb^CvIlj<;H8CM{jwZNOG)SAZxQq!D($qLf-
z&>>b;pMBF5zJ<~OShW~gpQzst+%F;D7v>J@*LTsldFM{<*I}w=_2UGKgSjY?3l*jS
zjhs6-ijk4B@cP6QN0j?B<Eq9!zVL~GDL!;#McI00<@Vz^@1p`E@56@yXL`fJ2zRaB
zCMO<&2MG)pP9!+*oRP<p5)%5Ut@c0sXdWsAr?Nv)maB^%Bvu)`qddc6^4`5NtT#qE
zk7$33fdYbuDdabdGpavp(Y|-~rrEzDzRoV)s2>?_je|XUPH+sJC;#L$;SBsh!xK?&
z{h4d4bIhL%>nc@daFscnZ6xD|smv}OFn;Z{Si}8&C&a0ZG~2ne(c7)I+(4*i>^V~u
z&oJrqVAd#{H`;XUqa%?tc`IY6p{v=Q<!DP$y;lp7NULM|UjOxlG5czg48`<849lV{
zZCrcjZBjTp_n#;}?QbR>CS~-X129lxj^=dz%R-x@Ic?gsFr8+XdYV5xQE=C%=IvL;
zGzOlb<0HbVD1TeF%IjKI_>Go5PgBE_&IT)*E@?zq7$H7>O}-0&PhO73jHcUe^)*p4
zr_z(R5=44vprB_wkFH9jhl$zctj72a&Og~%hXVp^AYhP9(6^KBH&I`C+@4m)9=)4i
z7&BzTggV;Z8lFeYT%x{g3E;j$gS~gX-Skh^_E>+;=bSf=$%hl7BRL8KRmM)9^dzm#
z1%m<q%)>kmyFwP5?ZU#e`3u4x?r!uB^78}sQS`aThvOm!KRA90&mZ27s;U!FquWrA
z>0J5|GdD7tu*<_h4aLkq<j|$~aYXuOs;<2s(~<BFpIIdU?dzI^mva1~!GmWQ(>c$C
z1OZkOk66Ca(B8#q%Eo##xvZLvZf;Fb)3UdXT>oK<uWJ0K1HaCez<ob{xXOA^sBH*8
z2hE1KiDN8J)y!^`Nt@M|&?$^Cy`=wn0i9DK3PyZ8dtJ@RO#4JE2-`vMfN3SHQPJ6g
zhrm3p!^RwsKvF$<9J3dE8fRNS?uwWNa|(cF^yu@TQGvDGah6?M4;dI!ZT9u?9*{Ko
z@8QbIoGlk*7+m)3{{4#N5_ZZ^oxp68ADTn-0ma$MA%z7YpdQp@@)7&%>krmW<`&`a
z%)~LglLm$w*^WK9NdsH!V%b7>YC68AJz2yv_lW!u5TX$*lkt7u#YW;`OSR*0vp;^c
z##bSJv6)!`qzE``%Pv|R?cLC)i4#XdGQrq>#fk*Sl5~0qq!ie;GG&K`;XKJs-MY#7
zPM726P_yzSvz#TwQJR%b(#hl(W>9I?553VLe%<{sBdAfaB%(8e-xh8<7t~UuAv3`_
zL)_vBZ{mIl=cO=GfjMWTBF1kL)r<;9A3bnFtV4P}q@LNgZ_A^j_e&A`OLs<}j&uIW
znNF4+II#~O$HmD8E^&~FOwazjJFH}35a4)4^_@VJfIwZyGG{R5yg745TU^!g3U;~D
z%tT^nU$=4IjPQ_Lv~;N}d;V|D7dLx`z8gshzHx);x)ls*x6{<T2}D47gA2$Gpe-ZC
zh2Jw4-Edudf6PGeE)Yu(k5;&j2?L7(J0I&%%OK!Z@?dhv_Sb)`?rZDzq2}`L(61R{
z`dUVC!LjdV|8p1qFlZuk%C(Q8XOZ9f^wQgi^7>qh#PX;z9%=#U3g%$LeACHcdJf4B
zzq3%?Tr#+!)@b9#jiNH}cst`l<lTYlY2XAfAaV$pTU}i-H)c{CZGxI3X+PvtRrM7u
zrVP-~s^q<N9rj(ADzmhiU>~nGGU#kTjj0zBx*3|eceATsmTl=R%yF;+h`j&(ot;JE
z*0W;!*Z#`kRPEUS-8Gm2xvJTuL;qzB!!T`v-~L(AeAx+QKs!$8NZF?7;42;0Yc$>d
z`sIsXcj%o7N!kup225%6O7t47p8??|NCmU|VS0*Z_U_x)U4zDVN=izf5zAG(y{wi-
zz}kpEE#7ZFaaDoW7DD~$t|3{edSXIkN%E7gs-b07pb(%~Pt(*cRBmZ+KiTS+opInk
zw*IrcJSkb#!bMLny4J<XoFWAqyI@F;h*f8GF#nYII1oNy`q4)3s?ySDLO6euL|)N8
z9ZMPog#(JCEgtA-UH<X|1%-hmD@USXx#p9bN(<Zw!@?%YsxZO4#i>3v8W%S23rJu`
zo(RS4NlneLr*(bGsNyTRk8jWTmBU+46n=v9azw(m?h91zy<T3O1Y<R4V{@>dA8W`g
zY$iG|4KqA#@x6iGQ?2gG$lfISuqq7KUDp3wBe)cAnPoTD^e#X94tk6#H6Iufl<YQb
zyXi<LO;%@-0QQK1^-1ryIQ#4sjOxZ8j1{aI`$2wA)B16ruS5t}CW0TWWL8y9b7;)5
zA!_`}!c~U}`{DZ~C}D+zD=_vB8HzHVK`k{rxs|Z8-Hj!72$<7oe2<UYO`GYW*2rnI
z_{`E?sA-vQ8@mWJ?~Lhppjg_v3LZV_pmfRzKbV>JjwIkICP5_CR9EEjS?TD=nx|!8
zg1S;Zs5s{@&I=|k(;5p17^Yt1#!4dpgl<bxLDDn5z{^|SixeXCy~vO40=DL^xy)%u
z);o$F4K{A9$5>`miyTf&`5}%nx9U{?1y@7MUD%4{v#WxHBLKV{=M|+}60%R;o^j>h
z%<>ix91)o?>%DK^6dG$xGNZ@Bj1!IEZ=Zvj-ji0IUpsyJHN=4+iq2<RbSrz#xvT>G
zPYEVTcaClsyDzM2pNX+CQzWGOPkwfHRkmko;b&ATNc%6rSRlR&`&O=y^Mg7>!;@AR
zMQqPn*WTR-!<@fAhZyc5l~}4gQh2rAwTgp+#b}#rkwgF1+QAcmLh$H>`fv{gWo5HC
zE3XZIG3n{Yr~Pi(KlD;+X&(Wfhi%k@=9IkDj7fhD?Y$wz05kyDS2U>33q2#kY!-JC
zrgpln;q%*<q5=_<gp`gPInqv6Uol76%8&h-4d!-Tv+zI5WGv(t_MYIJa4s)c03TF1
zI^kOU7LiGO?+1*>&L#PWswCz<P|^TNbMgtRc#}kFTzK2JC;v$3ROFCdQ<Wt2jxZb;
zCWfH~9UCw~77#omP?)u5jpk$2`%E1*Y7}m(oT8B6I2Z`gqeiV|o(wr~WYyiwXY1}i
z(ZiZnH7DVa_JHEYZ_CQi#?^r5(!(4_!!|VZCKru51m*xQiz}(^;_$acq}UgD1dpb!
zK@pTY?)K3Ig$yMMTwHB!{ghb&hI!d*Z_hAtF8tR@O&qTYcgFpn%Ju(qSv&1lzAAo`
zM9YEyl6m->dy51AoZ!v>@v6lC8<gPp$By#HvKy?*=N@gC)#Xb_2=s0=srH_d9Q6xy
zaCc$!hahQc4~JnuB}zhMzUlQ2f)15Pzz{VFYbVNmIEjr^9A<znG!uD;;JGk0Kxcqz
z@S;m4D<WS%EUcRBa+PIoLTLc#T2{Vxp-+9v5~shz|N519NnBu>7t>Mr!V3XT-~=Xu
zL%e|Bcyyw&g!M((MS{;N7^iV@yDK26v;BRjg7~Hkkb3<6i<yL^uCA`rZPj3BN)OIm
zDOpS|=e|w&D<*Bv%yHJe|9xPi+Cev>>^$U051Vx^s;1`AKdcBgf#?utNwhfmT6@kM
zyzU?H8DVZ>k^|WoGV<myRYiJF&y)VI(y(E5@1{0wCT>9hc+y5%)qp>m&^eJ=4zD+S
zUu%QGzux235h5q2Wb-vdzVR9zLN^VlNS34!BurywT1z}WDMsUYcuaPwnJxMH-8(U%
z9^$oakGb>bH$u=6mf-q|-u(w#D3b-y^|3BjSlFeV-p|~Ql_5WdQyN9Yocp45xB0t;
z`_5sw|D|8)*mwL#NC^fj3wOwX2U6P;bjmRYTi3FcdmE46uR;yGRGZh39Spi-W6(&j
zCRclp4gNv}>_=!Fdje=O54K;2#rN|lfN6$UsTh$7*+z;~R7ET<_TKCZDno~^0>KAW
z;Pc?Z{xpi}C?!>oTLo`B=JY#A0|&|{(1wv2L<4@%AS|Ws<mKhj?MAwxj;inBJG_G~
z@DMnbXd*&$Ap6CH-=4~p))+<1yA2W+q>by)fOpZLnq%@@29?;`Y9N!kqCF#{Ul>Oe
zUTK`+(_&X3k&&(&oOgVf6}w8!nso=S0S5S4<1_&3`Se{WJ$avdR&L*J3<z~Yr+hR{
zie87_eM#q@KLksoOaT`_gYG@Y+8&-K&&a2<jxolu1-u{*er%Uf;^eYR;PDltxtU7}
zT3^7tl@1Q(Hb=B`RXK*hd;v!&EhrJN%bmV*Wq9~n)Ci=yB%^QfWn<D#=gy84FM)l6
zuS{BUT-osWnc0<g`w&MNik+0MbrD%K3aZL??^e<N<VUKiK=9r(r9rV>Mbq#Z-Ljhl
z1Z+qrAgEa`-6z7;R&2*mM(x(nvz;qrK^>eO9iyvX+ae4T<|5i9#YIJ-vGhQ*E+mrq
zYaitzqM22qUPb8B)g2VOnetI1IP$|^YuQ_3dV?^j-V*u;?37|)Qw}%9N(G;L;*phK
z2c%ulenK+1MCtQriFwTvE;80L_1wkKAh+<!iRO2~MdW;Zw~!jEzHb8r-JF~e9;GDv
z_JgwRKbl{1iqe0@`EFp?r+as7tk$o8Qot!t1O8?=;68K{@XIW_&bX8+RvLT?Y^-!}
z<GuNA`1<Kn^2VwYn6CnEA-qkfz*uC4v$usu2gC1s404C-eh;+!7PM10>KNp@4KY%}
zsoQUa(W!iEm&Wvka=(sziL0lf(U=;eaz7Jq!<hqN0Yr>}WE6A6ft;MNfK8x(pn;GJ
z(2i^ZivJ>=rkInENH_$bnko4S!5V`+=B8XnXh81JRtyjtyPyusOqLN(n?p^!cJ`KT
z6vT)voLa14OlUdiArU>tBt3l~1p@r14J79L-alKlA~*{e5-5)g!a4v~T%p$tGZhbC
zNYG;q+sQJyMqoFUm8QV$fq{aKNphimv^>h7MfPw!3gBOA-)C#q>xX4HnC}X{cW%Z*
zsPSQ+5-CdYkZ|GhNbBfWLPBL&Z%Fd~(hWjd4=6Si+FkRkLrOci2X@g+BRiwx;nJaT
zqCd3-UVa`j09O8VO+dJj+%vo868BGi$$raC{f?{#bW=1z87?p6E0|QHO$Vc`X9X0x
zRK!x%c<kKy7MKf@Ab>~o9e`*JxoM4Z9{y9^w#}aHx$Nww%1KKqM;e-*^_+g`8aNu1
zf}tMPPftIGngPe!4O2Tj4QVEEXfTzAxU>~kgTaTG8)v0+RHkPQ_-CW+4SU<`BUBoa
z)gw}xGiMsSbo&0q9#~V%%fSdkJFK5zVcDFemNHmso}a4P&z4L8o_{9|0=jXSuFaom
z7T5l;Im-#~FdeC4KaRij@bL^XQN3VK)#R&YBY(B6Z2gzY@8H9`O~hypdl$&L!z(vI
z^=~fNn1VyHdUESy=HF#!>u=3#;of$R5m;JGOw5$p(l0M^H(RT`U$~x2i{f<_1D9<0
z3z<i`TMdxU+=?_>7I~TmUTgkNdo<=1nRr+~p{^>sq&aJr-O5F|qgt9tjz-}oJp02@
zWl)gLK8j#hs0BWKzz$I~t!*k8T)QyJc<{z^c}qv+pP6lMd**{%Z=(C5r_3eQxAkC(
zC|&U8eM7Th;X0p3-tN8sO-&vjHVAOXvy7)H$Ql^j#wUPBqA>2Z@ff@Z84Y<KgY?tZ
z(pXgqQreQGOHUga<y)@HxBX5YJt7Ai>nQCK14RQkK09Oz3JMIu-^B>iNHGv?ZkVZR
zMj`n!(k*kFv&g8+GP*J!X{n8m>Y@db!o?)7)k%{{5~F;{OtjNJkv^B|?O&6&_4qFN
z8y&_5R_(*wdVhw}>Cc(9^RDKezI4s}T`O0JyiWU|9p-IO;*O#dcea9>ER1m!?a?o%
z$@e<l5M9TFFkwgV6PeTcU{P;=y8Mjil(yg4t8*&^0(v<Ycww;pap5&pJ8|3}widGg
zEU>H6NIJB>G@)?ElpU=^9ZOZi6FnYSHuZq56hkh`4%Q&1#y?GO#SYl#Jv1hhrh@B@
z9bo(}4_d<@CBf$QO=srb&(j4So?_Y;<1nB)Nm=M}p<Qy-aH_2A(bdGrsC_RLO-Y2a
z&SAPyM&@Q_*p|zAe5|gfmHBl2{x#1GTU)fE4V$%{g2%Ttj#SDqyH&@}u4$^wwXs(D
zws5dcY<CU#2_?xp`n;X?_2sp+`IIlsY^$E**IE$$6WXP+;xb~bVBqEjZR*&egI{;z
zaj0SRY~>?!hdQ#Zop<a%+B5m@ULMQNddd`0mT|~yc+&d-I@3zIO1y!`BkLjNvBXU7
zS3FLm%k6)&Xa5AqO=lTr=rT4&tC=BqM&=YjME8WrQFcW9TCyylx!xUu*V_Y>l41Zj
z0bnDR%}vc-tUvpn-JzOpq*Zq0Ai%UgO`DXMIHE5^o@6MG3)VpjHP|^+{qW)_eTvS&
z$--R{hM7ze^920v2Q|e%KNl-?^8DkbB=d;id#`5bzzjos#KRU^N;t;E08EU_rH*bm
z`DF9Qvp$@{q(+Nm&CR@UcgLuTcxKluEzTQ`DL3s7zAP+G)@=3B4n4M&zwmJ|72~t+
z_B%a)@A{b@GSp4FCCpaP^=<vev5qA{429(7kL5`Iu8Omr9?1ME$|Y6?lM!e2G2bD>
ztK{~ZGa_4d4tPQ}X5@<9pN6)7iV}*z8ff?E-o2<~_bCZFtUm!^K?OzkOIIq?mzGJ^
z78f%4=mu$!m8S1-_v3@A7uRsiD(230_?i<w$73>m!VA?ryDSaTB)jo`JC~VsbMIuG
z<)^z{?<fP_SzD@2KX{o?YKQw~{(5M*C_Lnt3x^88oL!;lv&+TBRcJhcrv(|D^Yzws
z`M#w!y?#`@VLxSQ(4~kOPV2#B{U28@+1Y~QQB~eBv<VIk)%0;6=lExgdWdPKMXyic
zD1H8tN}vt_C$DL9WQ5kJ1^@O-{ae$ed$`y}jz<dEPk)jRn>%mbdwe@q>hTLJ?atIa
zzjQ)8k<Fwh(BT-kkvrrS_2r1mJ&d>1f2YntlQGa^Ed*+iBlx<621ZYXJ^w85-6uhf
zLx56e#&s*a(X>?H7TYgh-fExTC()oq&*}8oLU%yIT5NO@Vtcn;SSdPHwn}YGYna$x
zr*?Gqya1IjULdgYWFQ6YFmX!rc*TKF2Lyc*t(EWJzGW9?+Reyd14^}P7q$cOr@`Xe
zPoE~f)waD7u63ozdE!!~UY~bM$}$PWv$u)a=h3YnR;HY)w{CS|=C69vJ)j)^HaBDL
zQWi#U9su+>_|fOl&JSmlpJfO%nM&^GY4zD}AwA=iLkE*tBaxV!M{Bz@rOuN-s%oPf
zR*fwJ{xO?24H+_obMMln+0q(gzAyazGHvBfdjkorSMT1vLnA_EMjT)tLXxdm=ylNT
zd#%$&I70mZr)WJ<U@I$s;G4*su<hs6`3z8xRx)&)^HJNAF%j3&(reCzCvutP8%8K9
zW>tDlwDup@!?IxC%pGa}S8wMYRC5}}@q^he+Q`n3dz0(P{c>WDmUUcGi^|49i3yD~
zoNf0UtI}mw?Iu<(6Du4=(LILb&=s)<)jEhhDQi|zEw$anp7!&$E;IY@&TRjvMxD<4
zd*AnYp6~PhexLBv_$q1Wr}5h0lbRJj$=+VDl1YaFbRpp38-fTBbiFumO!Tnui-9dE
zM#nqn?0sXIJpTlRLbw&siYSe&ygB@=e)@_=0R)IS;ENa!_S!!`DWq5GmT5n<vnGCD
zR&oIpn1MsnU`nV0Q><Oy^^O9CGYQNCX4%*?*a&+CecJ`5n~E8r!w2WeWW9~C(=REe
zThFFz5tP_$yVdp@Kb>NsJCl7RR$6dm*FNP9c_hSNXA8Z5s*0WI9O35jp+@x+<cxmH
z(^ilhCRCAlIUmqLUW2F6;t;OM5~36RAiu<&_4I-FKFjva51l3Y9!ZV<`BuY5jXIU#
zm^p`wM&$)sl2IHmK<vmH$QZ_s$MyP8R!eqo?bFA3cY5*ADCI+Zx8ugPTjTg3N8*{j
z{DJh7W2T`ro_wEh8ys&fBcWuUZtUuAc}}pFAH^y7<|e_eK6tS8Xq@GZ_UVVJy~Z8O
zj4Y{$BRB0CAvg19KigTL4<~sxw`EU&_$)nr(@pW=gl4fPX|XLe^M{Nf93S=0T2BDB
zdA8R$2yj8-s%@LoV4`g9vgpL333136%ZZ0>i5aBH3D0h20!bQL29rJ#E7hL`T27nn
z060XMk~KzIK$sg$`UtKgkA#^D(*urnS(eH0&ek6TW*}3o*<2Z`$g10}DxRtHd*v1#
zr5gH1y7M79sjrd>AUI~~@8lb-;e@WCDR}K}?KV8R;d;K-q0PHy`+U_)6FU6Di=_`K
zSC)ksK;3aJj7zLZ+t#t*{Q=Z^0L7heU`)@(XGh1=MT&LHW&|o5aG7?UTz+MZvGI^$
zu)NfepnJ(}O!mEBKZ0M2_k2tg7mHJJoG|Ouf3XoMj9^tAajjbqlE7(_M+(E9ipz@2
z1@-xz83EPllT@kQC+%UoIoGEdX?r$Zv6v_Xi8pJsY;*_u(lOHhud<a7uL>hn0QvOB
zy9Np})UEyGs`|>+r6=)qT(asS&ujCEl!euWp+Fh>J<RCJfk#oaSd3B2^Y%&<l4G;@
z<*7{iBFDDd618*Z%FA0fuXdT^LW)$HyF#|6Pw=Helx>L-Kq>B*VxhEx>{`p2J1YkM
zs?!IkN4_U>NY;9HU4PrYLi)i}0Xh-Wd~Wx*okwH>G_(g5;$_IPz9Fu2Vwzf7Vs2GY
zJP`Y!+)zJU%FL{%b8mb!_xZ|lsv<=H+?onpjC0p~3ua^}qEr=<X(HqlxUv*Glu$La
zY?mgBe2d(KT!U;&OvK6^^hYO+au32MJa4`))XgaG`QkcdJZ8n<m%MIdbaZE1erE+8
z*&XM5NDlB^i@*dZz)03#FhNw|6##-fb;gW~!~rNOfR%)p99Gxc`-FQXd=!e5zJ8M$
zm5<N-AXJFd!x$*p3>;{HmSbaM6CvNH(S&fE$feC~c?-Po>FPTI3<hr?eiBsSZ=D2^
z(;uG>q-qHV`k9$}=o>aK^$7L`wWwlA19Dr+JlGf|_!1#JWSfeAD8xVoUko9n4S?^$
z973$cQPTocd}LzM&)S;4f{K_g1|gJZ&&K04B4VFU_d(hnpLHFA<{A?q)X<K*$H{9C
zX*89ft58{ldKPCHc%h_V`dc6Oo9Oij7W`ixlG6CMjHR$sbyWHKbH5ND?z=8($}1yf
zclQi!e(r{M%)p^%O-xM{<7}+0N2eqDJ<#e_yUJsJ-~4tA!WFKrt{cu0B@msxh^_ki
z6?sKxOJ=B3r?9mf`!b97ZTG-$qmSh*z_g$`0L_HtkY%!M4RPJdyM-l#A+F~U=|`8Q
zVrM!Nu|0*ionKO&a!qNx&UJ1vck`yCYdW1%;K(qeV{}y1eh`MJ7EYS|oLc+#)cdtm
zQFh;osR4{zCquKkf~m)AG0;svvvjP#T21CN1gOaB1bXI}*1(t2n99OgthZe@Z(3o<
zy*bP0cCXe)yAqrF25c#ozHynG?Ecg_um<cmUT^{OI9~?LufZr-yR_gvT^NPe9O29-
zKD+@8aG<x6zd`iE9aWar+uU5sUSfMN;PO7nFQp}}N#IMwz6mJQKt5@pwmRN9eId$x
zo3DI(Oc8`P@_!==<u<DGl9CJ_I}AZ;5T3MWk$LR*QhITMOwPgr>M&6r_5>g=hft76
zsP1I|yUtaX<tdWgSGlXnKxxdhbGP6OC8h?UGv2TP{b(hr9~*YTf&~J=hoWP!`FXFn
ziIT1g*HSJA&h9H4V}mK1o<Cjd$(F;4_cvj*DwV29_DnwQK;IWgnb^?ql~Sq1_&|0n
ztz<`jdio0v9k_M*X&0NIpdea?Y+-O<Ba1_`Li)!;RR5I9*b|Ni!a;EV4-iMF5QQ?@
z^k$zBbl<XL5t`k<7HWdds`7?)sCpp%0ubo{JY{&}K}uRMVpt#mj*q!W0BgY((zc8?
zU#+{hEI9EUiq7MyP07i5#LF;Zg2jEX=#0s2(+^B~iKPE^!a9`4a4SR$lhxzG%s+6s
z!R3btRSN_e<}m0xK#=gnAoxKMqPxN{o5Ld<3c{bBdaDE%+u`$dVwM4WO^j&eGoCf@
z8aEAefp&OffVJUP>~q`Ky_)8|i%jC@Do}YqTOk5e#FSBwqWZc4K0d|CJxup!&v)Wf
z{-=5`<I~BTh{J&I+(Uo~5Gcuvg%1b_Q)^SxRCQRG?mZwN{;mSaxJ5(6C+|KMcY9yL
mh;RLy-S<DVLH_g08hf8=T<BIf=tPA0RZjDl%*&9k{qApNj)A8D
literal 91943
zcmeFZXIRwP*CmPxK}C?LL{Sg{1tm&W6i~@IgOYR3*(OU;i4rA)B+0oD1xj+xNkDQa
za*?^awELaDGaqK|hyUC!Z#~^lciRQ^t8>oYd+oK>K7le)VtALxFJWO};k|hNOb!d{
zq8Ap{xvw~9;ZM{Dx7OevxK__qZLzSZ{4sx@37g%}$HKaa_2StR1*iCxac4J${_(vH
z_K)}I^z?B9y<X|z1z!IeA%a7D=B)^^?3rj2k+cf0van_8Jg?GOV@;D%Qsut41ozH{
zt$X3VVR-$}C*c`R!%ZKb`|o_7Kflw~h6+2hOSCH+tF-NG!%9NaAgpYnZ99)AY&(uS
z5^V95aung2e!o7I-}EH==Rd6UZ=J#W`#;|Ob)Mtze|>z3u<M_<Fg|~L?(ct3yZIk`
zGtRE#nZG|JEHXNJet!Nkt>2X!Y(`!1v=<TUi<wDW+}!^D{*#`k$0sb8``A?Slsu#V
z{+ac*5A@<|wP-Ech8pKBEsuSD%nx-H>LP9DI~tM5BwqWLN&Po!67~Ol$p5cj_CL3b
z|NWc)eO&)_s2)p`N$AYT7S5+-857?r4zOg+4<j0WaqD5vB)xpIN#1DPsoj(M#-*jG
zgM)WjS?i|xiyUrF8fvliM%#{4{7=u4|2dssNm4RoYZU3CA}@sxpGdQs6Q{Za%!>y6
z>NvUkkyj}w-K76>QQc8`VNuVTw7%!Qcr}aW0slrrspF*kjr8Ofm{{6F9_?>At_;0C
z)b_3?pr%fI_s(i2gj*_>Bm1fU)wO8H?J0knCM1&21L3y6*(r3Yf%8zmCE_Br(^vOw
z6B82~TU+$Xu<dk1pr4=LmoHyfG^^+s7z_;zb{Bi+zxiJ7&6HMl_9`~)OnmVAuT@WG
zX6C^>^>WKeL~Ja1cr!5-RYF7rhuP4Vwl;~>?+e2YUmiYu7(~YEpz#=IV=1S=ViKW=
z)19wb9Uo7LwAZv&lr_o9mdG?LGabzLzKD<58BkA6NugBkR^rJoV?E?B9zw{?J=AUD
z-~SaJ+FB9D8_CyGCW*dKtlrjsHc`vnbH7!a%WS9%o<Qh$QQCs*a5{)}ZM597A>dl4
z;GtREsNLtXGKg+R)I_bKq9Pt1-jgR!;F(^$cwua8d|Na)AT)Gf_QB{cNuN>G5+hk1
zofJPdCt^a2vfe5}{<le7WLpt_b9Wy-dUWg7tvh!z;EOjmH>Zk**o@pNRsG2*pHWg$
z!hgKods{5ju9Q{GVZ(Onn{TP<ASoFcjgZIDbYsx__wNe}3kS7a%}q>}e%5>QIiA$D
zy*u1A3d&D@>W^6eb~#i%j>Gr^!8E$=)ZN77bDXYq8e$e*f<`Yq=Pd8EAT?#5;~e~a
za2<=kXi;oqkGH#P<)}c3_GCWmF8>`5b_M=KmMe(+apW0QRS982TE*sZITvE35=PL|
zK}Z`Li-W_-QTxT|)*@q3%u)NAG*W7s`OE7bX=|nJJk#&j0Bqu``oAV>UHMpO2nl=g
zHTg2*E?u%YaS6kt;JSPIqqDQ_^yE<UzCo#)tqta-rluB=Cn72uE0F<Tos!2!uRWI2
z8yhc{&oN)OEG0Sl3C=ZYYHG?OOWoElUmncTkOt{*OgH8z7nG^o6At+C<Hy3nLRD4O
z^zT;z;$UfiJ_*&G>fbBZKR8H6Mutzt+qbcmz~{)TDUzI=(kG+(F{S?_XI%SyM*^SQ
z-ul#c|G@(7Q#e!(sEP5in7J0~;^R;%zLx@$*xpaR?<U9**>?({<8$N}i_MwrY7UBu
zi@D8)WR#SYR8@z0snz)054KN^4}A%Ak)evkl6*=zJ4vTU^F8U}l6S%hzP)--VmYaW
zV?EdQ5e~g4dfbu5eY?9aTOL)l%!0!2#cRK|_W3$_%O_eoI?kI1JzbQl_oAAbnp%Fp
zzJ2=^CUoMo`K!4%L$bKqtTwr5308WpJx*C&J;#ljg2J>=1)kPnd!ZZNt8Q6q4<BT{
z)*9C_Ta7|MTrH257esm6N$R(<@~<4bcL^>NZc+DtW_gJ9=-}Yf-fH<bGjrXCL5fGt
zaakq=o^6{i3KdKRT^(A-9kus1kX+HZ@C&Rqe_i9@xi((a%o<((yV&ma!pfP4UHjM$
z&%#}Yo^TBb39+o*8Q??J=sp+{ih5}C>v>pWGV}fWdHMNQadB}kUHY7tH(sbK=HgP-
zOF!w39=EJJR>FConCNl1T8>^Gl&+Ll98jyYnT5D+GuR^2c6(i(vZ>b_&toeZe0|EU
z)v{(o^vRPq1Ug518{rJnh`Cr(AA&pK*;!c&z0yMPF&?|ahGZ-n3o&;V;0WsL>uYHx
z>YjC(X$mnYR#pAFC?$}0m$OefV-L;ly4aI`baaHC^sFl@+imBbbc6I}7G#`Hi5`u1
ziG?WTFq>rLltsgDc8<6gRVe8jsyyj+=3JG-s+yu=>Fe))7irwO7MCcv%)Y4QCGgt6
z6c?9=?JskwSj>pCfR*_5>sMEo4DB;<@z#3pi<d87-rCyYwwzdr@ftvnbW=|8l0JR<
z{D;xw?et0>LSYUL4$4PXKjSPB!^MWuQc_aR&imr5wZFFg?~rF@S4BldLFng|m6fTN
zTi^@s{d`CJG=g}(F^EiDT)f<DIAwFQk5Uto5^2yZJhJ<0>0k+EnkkdI$JA>S%6oVC
zFb18awDb1N*NzUN>5nyK#hqN*Q31;{4Q)@@T7TifLxzgcD2BT$aU}36@|zB{w?<Rk
zzNHr>e(}xb?0u*#!J@jNqD{x>Nmie%++2Q_?JV?YTYEc+a9U<2J_VNq&U?T_c7-)H
z{Pa(@etP30_NIdv85zsw(;zgPLa7cr_)ro_f|^hLbdC>pTFkc!Jdc-=)UFbh=A^<t
zetr=An>&NrD99?hx-(EC+6@j>4|;lf;Kv=-##FVnEzu0K-F3P5k_1arirA<wT)Y@Y
z!M&E~x^_)CB05@GQIRppRi4MBtRPW~ej^|_E1ayEyaN9^y$iR+SQdYe5z?e|4g=bn
zf^YQllBBcY*xK4gx;QN)`)j!@rc+qf$TkaJrWF<zmXnvq1gS_6DIPVyivNsVJFB%m
z!zW>3vDmoVw9gb26kJ>mpg<b7#nAc;m6|Fqs|LHhg3^#Foy2wh3Txew4IJ{-Go$P4
z>$Fe(+7kGb7cY))-Km0ee2tu3O-^q5B$`7@Zj!AUb$o7$SMGbNT0cED7GLze>5u#j
z;eyrWRymIhgxa>_XoOCW;zt>+DHDX8*4HObS+e<gf8${S6^n`~>{*&jsf0}%c`{b5
zu_FB-0-d&)hcC-=Dk_E^el+EZi@v9N%jdbYblprSU%W-js|T<F0xT>Ysb^!_=k!~n
z7}XK8QR<Xr0fB+eOWBz|1jsO&$r9u6ac%Fv{$gWiZ#UR#3ZYQ<)Y8)OfD9w(eozrx
z{TMqka?$VpaAq29O>R6_c|qbDy=<lYc&d~ZooScBS3P}w#?Jh;k<wP{o#R6^2H3uO
zpl4{9Gnp|BSy9_#Kb=5l=*#Q!NssCrLWh;1jc7n4+{lGQ?dg`nD{qJhc{dR}a$^po
z<}Gv`IZAmZW@df0@%i!m&T=@{h={`9z58T-SxZzI8A`<<6@S-f?`W$tPpLobrAZ1x
z-(lqN;y3%W4`QWD?pMBQb6HOCdmQaaCGa*jHtOr?<*F7pP0}9-F<*VVX-i$uuS06-
z#*oaBSlu_|v^Va^nX9s~fo$jGtcn)X{td+mR3cPg`Vvf>o|Jt0^r^Cvhl|Uh>k|ap
z6R0VIwsUQ;K&v)#^z`(coSecq%DCk1yQs+mGiS)z`B96#nVpa{AUANEkNnzuX6xXv
z`<8?mgEgw!T4p-)h-?Kv6|s$fsis9EY{o3L1;)iw{Qex>k{b`Kt*rshu)vPBwo<U^
z1&lAXoXb0heZ?ptLH34EdV0Efq72QtxW+JU*1N9v==S&RRE}e^Dk?)mLn?5{3<&Yv
z8GGLk4h|+k4jm1es|m}8{A>&HM?yk!;lhO*H*P@X`EU?5Y>cA88GP@uWZHjt-Kcke
zYhK@MmkHfOVcC`>G)dYI?}b;G!0r(I{LJKEj0nLj>qdM3Ji|jJUy4}|s{V}L(=DNl
zDqcM1SXM3m{nc`TwMsGct;GOL$M*OYBMS?u@bwT;<pL==>HU!1h3?cy?PvgmbC4$I
z=6Ex5d<a%YN|y%<lA>Kpwjj-1riFrbfJUJV3g4W&2>Fki->J)_bVSl^7*Gbn{V*yr
z6525IQolG(cTbO;j0^!eIj>3I-Sl6GWLVOnje<!9ht(0q1zDc8KZo?GXkT-X9$w#h
z2?qxUYwL~O)lmuv$2#uZ!b0oOGV^a!>ZH;I3vkST@O|alr_WzGukd`~$Kl+MJB*Ck
z?uWZjTpl^Cf9fRc0@RnBoO~yIF;ZFUBbWKerzhSKc4;mXV#<1Yzakjr1rJw>Ss?|^
z#aTviUkv)6R@kc3jEhyXN&$%{j3cY5S^KK~EE1(K0X6YO_?-|6?he-UqRLl<qXLO<
zRy;L1C<J3RTD)ku%W922@s?WO#x;U`T+*&n*w@!bOiX-NsH_&kSVvcvimbJ>Q`x|;
zw71Ul)b}!3*-2Va(Pmfj)0F;a&8n)ZJUl!t^Lgy@Exn4GRd%wc8Lp8L_ZjHuDkh6;
z)F;Nq#=5!)sHn`*gDWd5MMXuJTz*DVL7}g!>)reJ*QR#unU|Pf;_XB(Ml|cSz$aPw
zxuVzdC<|C3XABOP7F7tP9Y0%Q*4TGVS=+_MMM6Tt-TgR25>pSAMwfhjecRjHuU)&A
zH+g+-k%WqdrXY`cyUL*^m^rgCM!<E~2bYNdzPI1IuJSY8(b4Visi66wq4E6n<2|oG
za!o_=FISV#EL>c>feeXG02%<^oNi|d-MHe{(9p14P$$U4<Gj$73~<QImbI!xE&Pt;
z0c?O&B7ddDc$N0iG#L}Vj6mf5;=_qa!_{J~hXqASoXE${&XwcKl+ua(!_|(cw{I`)
z`1)``wvf_RyXm7+q!&0z)P<yIpr22dpOwfh4|CreydW?^d7I?-Hh9|9%mxJn#IWhN
z2(TpT;Nap~^K$ynq&{uAZ3EpwnPD~|5z!$U<@xjL8(83h7jL1Dxg=n4WR+&qT6Te)
zf`SSa56E}F{vr+RCFJkhbac;Vk0}1Ev~e+{=~`FxCE9zW;+mQXn+-A=8e`$og4y?e
z>d%%`y6@QWNPciwLYtRm9QGS>kh8P1E9Yxe0zMhQHPSx`d4F5X&)3(vN^+`<dafhE
z71nYf>7L4$SMWR|S9=9mXIhLn$^_lihxH=r-y`q>5F8w0Ym8!_`xH&{nV#TucXj<V
zF=fhOxqUlTI!O?KHwzQf=j`n4e9VjG-n}EJ^-$jVbepcA4JD(Mm^nD?4z?Fjh(ilN
zF-l5NERy~QQL6eVRPnBAL5#9?&WO&Z<mA_fyQ>Z~qGDo)8<nUWv5;j|KhM3Xi`r2Q
z+2p9XLLnMjeWvS4#)7s@lOjgv{w%f0V19y4!BAgcTAT89Xi8&amzI=F;2W8+1(%Vb
zhb1q5jEuC0F9w;zpT=V-Y77@2U-{C{@#IIzn8l74?4!JP?IECk$v7^^fb<LuP_(Oo
zfGLaStV}6N>08fYGmnkKynG3;y=nRRk77;pZ}2;<r@aU_W54gD%42S!EubkCo|bUn
z9+%f#aR6Vv+Ge)p?eAAw8XaxJ#tgExr6oehcr+u<B_JfER6xyXcSY6mYO$nNlcK1o
zAG)!Nl8~1R!2SSbWoFtVssdB)$Orl@#G^iqOM^w>F)@!!2cS?HB=Fc~)YR0ZrKJJH
z-Cpd4>{tLOcc))@JdJqAq!d~a*lSgQqb@s30Qc1;3&-Ur*>V8q4+t(_--2u&cijtB
zxz9^`=T1{Jy*1OfV%EE>zNH#n**8yK_vxD5`TG!)3%XUTMil@Q2JqP4*_kBdd4lO;
z5(QjMCRQL%E-x>Kh|XlmrmA^*Y_)THuGe1#z^`6rc7xp@cr*FKJ6`*xh(?`m$F;wp
z)@BdeC@Mx0+`4zKO>vWhkIxml7iVW@2I<5Sm3xqf5H*ZDu+jj;W=;$yT3d{5A$!=z
z^543>^h=~jjQ>*1+ITe@r~*h`0I+2UyP#IK%#W01$9F*&#n*w&2X%dx2J$bU%0Beh
z)jdqIe*S#nxw`EyzkU+|_k$9GZ;NTth;C?3q0<9|x}scn(0_=ktAktsxCAv;*}E|t
z&*dT#-EC9@$CZ>tqe7?gEiTa=CmNq6b%V%S&zl-zi9IqoOS-SVdY!=_k>lp2{+uM2
zrEKwNmPO|)Rv8cyP#C37Ib61lCZieyStgDj)9+@6^O7_OeIp_|*7V_e=Y@@hg+mOr
z9G(P{+zRw2lhE@FYI|zh#ws?yh8_wYYqI}r8J)<>mn}v5t+BDO(Eg3p&Ha!Enm{-p
zBO~M7#j97YKls|O(}Ev$xU)RJ<RmXIKQl7}jD-8j&_nO~pRz8EuGESdE-s3p=p#A8
z8?p?n9|We2zXntB?ZP_7ahV_V7kH2m6Q}V{jvQ<lN|$HHH^6WH?vH=CA>i|dVCoDZ
zA#YDD&jD~dke7T3-pB~m*Vh*tv_r1v{wM)>!-BAjS9B0sKi8clMJ+81`QuOR@}v58
z*AL0x2m(9Sw6y&?4jx`<oFw0!JEG1@HJsk{81Be~nP20Dq~tiTpU@7i3ZjOK=i!ha
z$)yeC2NI5_ip)BP<QVF2zq~#>pPB{Rzv4J)tX@7N$-St4ef<6JMZAga{Td<z(-OmR
zdi^?ioZW({e_&v3tWqB58VSkl-c^^Jel=}vZ8bF)0AM~o=V_n4eEAYUGLTYA`5M`l
zS8vhNr$eg_42))_O?nRBJP=xuQBjv@+1S`L%#i?9_4VENXQKhmL6&=2=>EO8MM1it
zWg}7h<)8EELVnhuFH4rjV=tMl(D?cD=jP^lY}_St=2u~Zl<+(Gw}NZD?O6$K@e@GH
zz!sZYP<Nt+(+!X%B7)dmJSU{vXr(LpdviF0rsPI)*TbqS*x%3L^RM@av*u}5JM^Tz
zm>`~@$agt?ToKB#o}r}J<mC!@b8&GoR@t8!_A!>-5K?RCYPj`GQ!TXKZ`K!T33SGG
zrc=k&lvXBR=uIr2QXWW?kWe5)h?H{t?1_$!34d^D;?@ZR{a^9HZh1g*pMD0wxMr>S
zSS?U9D)*v*N`Y?Db56p|t)|~ZF)@t@@LH2`Zw4-Hnfa&zx>boHr@sm|d}Kr|>?I*3
zWp3N4ih@E3^ux#tOUuiXZd;PH&j#}~$4@=jnVC%?4a1qOSuGpoXY!8b&y(1(%cW%9
zPp4x`fkq)GllIlO@889OuhaVcXl<1jtb?vutuu3Rk;~iL8}^IIX9!M8ET<_Qm2uoz
z+HdD*>Fm;6ZA*Z>{Ps<lwqdn=k_EMz5DNP$aVNZ22v|8x6OQv59g#!jo+`emA#tY{
zDEB_9H^fq|n58VS*3OwgVjZPG?6yYTKRkh;gC12{a9<C-HV(N}c`oeIdHl@42ZyLR
z1?PJY5~)KaUcT&$5L??TPHId~U(}*@|8ou>$!AJ&l7~RI<j6Ug=n5%{Kv+*t&&TJH
zGi{LhrJ$oDx8*wOqU+oi@tZGm!UPW%!aR>=U_IIliZ?U2<~u<==={h&ztt&J?w&OP
zuqWczNQy|%$!>XF!Xs<p{V_c@^NE`M^15Sl_+m~@d+eS3M3gIQNau}>jmxB%`u!#>
z$+$=6<I<uc&%~Da3%zFvHP4k^sDHgnWU&H0G?Z82fRz<9)^Z+?Bd2s~()()L{z6B|
zX=x2yPd-D2ga+P{&>W)P10R=av7ZviM`>U@PsdRn=x#9@T#UA1GpOm<%vfYw?XVgP
z^eM2AK&R;iwZRIKkdk)9ad(=OmRU}E0FAcBonmPxu>SQNluaR_$?Dr%QN0sF1o^kk
z$NDgAljq`O-KhY23_}fIkMJ`LJ_{7XcC8tZ91IBbh|6oyI?YVl-M0Vh2`%k8EvF}P
z&UVBq?L>fceFy>r13!NJ2muctOT}rTu#CP6pAO6@pQb59KEwrNrk2)#6&sa2eM3W5
z^|IWI3<KCx;1T5n;~`kw+>SP9TgxHw+b<9N{P{C0>uz|n-PE^J1S$Xh`}f({<i1Z~
z*jFlEyFCDm7#b7ao0XLX)OA%A?`$GFE$tK#i*;*N%N%CIAzaKa+eJB)Gh95f<G(Tn
z250qtkyP#`q^3TB)LB*;vwpBd@!-{CV1Yj<zYPka;NLs7_*7e&LPSUioF{}6{Kb{p
zeI5EQN=g9TpZJ}OILM)y9V)lfuFhMuSsgkr?6Z8G@S7^V(+weqpvq}U+Y)&84<86=
zeHwKtoi<WdzdjWfUaOc1g%Dlb^AqJ%BqJtP(AKVl8b-pb1hE?vb3Le0PFuU+SNrW-
zw}2<991uEdC4yXl8a5bk?KbqrEA`1Qe||=z>+RD}z6DnDIWCP@ujaFpbxs)z7qdoY
ziEcN#))Aa}XkSGj9I!j68NHh+wCZ$Zy+dT3R<rq1;#FJnFKP@p^Lor-ztjh<i;}Xk
z<w!~P4n;apyBh6pv)uBJ_719+^Q%t|mNm`!1qB5;IqfGA?v<65WpuvvuVSFx8Y<KU
z61EO%84)akkf$IAM~PS%HPk-Xc<5Gp9qvH_WH;=f1S$u^8^AlEMgs2(>@UD0K)WF~
z*qf}`<WZ%nvL;6P5<5q7Ja6Qo2xh*H%TH-sd+My5M4+=WRG8$x`;p)lJA1LcqN}Zl
zG>~09$q*}i5F}5ZdVg40>`q1EagV+G_;Hb=F158(mk8%tzV34z!^ofdM_IXwmMJ+<
z7P7Nn;9R4mq@<>XVvYusbccZ<jGXf&`lEWkf+lpAfGZv0Y(kZpL52<X_p9a&z@x&U
zf}<KjBc!E2Cp)=N1*ii~!W`OgDq;6Tup)H3cHLZ~|FhOZtf7bG4U-<UbNNJ-B<8H~
z#0-K}igvpzZ*&(4Jx{hugif7NmswRPC-RMvuQ;wcZ8TE%X6$FY(qc2(%f1Ow1FxUj
z;!*c1p*;8!Y|XX1LP<N;q}&q*)}%9mj|_S*39_{xIwUk}q@Lp}9o5gL$nmDv&P@Bp
ziP*(7*tn!xoSuA8*2*3)M)sfWc0bHGT63iG+-28}YN6o&M`Zo^l0c6j><XbHebDS=
zkfkSqt2A!-zNe7%TcY8?!0Hbo1y@g4($x#Iv$;KY`m>LYmP$=KiAlMV1c1CIB<kIt
ziz7mYNyk5^|1`PsLh$i_X;_iB^Anu(-oal4!tu3t)!I_zeQ*%LHf7jPqjPgvR8@s>
zY~|%`B_&n-uO=c=9$5WGSzi_B8v=>6-FG4n_5bqrhSgt<+x&_rrSurrr}r9;epfe%
z!y{!vDLkvjh3ji5LMP-<zUH%XixU=K<=?dS&(HGe>VW>2JwCpBN6>TWjaN8{%-Jcs
z^TIdm?0l&@B7Nk~VYy7v`}|qrilcSHZ#gn?thCRts)FYP|B-Grr2elc(*H3jl~ZQ-
z(?4E-|DdA&AAA1)erBwHi_HJG*ZJ+M|6$+Q9yBA(WDS@Tzx7bA1i!z;H<n!9-2Azn
zol2$@cB(AutQN_C#Y%-u{Lu@yLhWBl0p~bR(XWNmejudA1Rh^m>1kS03Yu-GvhOz?
zh-bW8(KnRkcAc1Vj8;HkV_pa)sQ<Q5lh0Vc?(A=Th6zq9`U<^kmL!4r4uKisyPmxJ
z;d@ArjYbb^am&J2B@5T5+%A_w8G*F8HR)-IuAJ>jkIhpzEwi}qiK_iYrd2T)rA|kD
z+Ctogy8v`3YN+u0ZryK6fFG~`5To%N#&Z5wsm54Q3*YgDg2Tcbj{qFcCV8Gz66mx<
zFan_WI+W}0>jQdo4SF3&OduP-e*GGlw--`U9c^tZKn?>*2R&r|CKlu>f!E*8kDh|C
zm=Ev+DkO9ucfuKYd3hNbje#$RQYh-raAbawf{3WtX+sBj!G{1NctUsXi{VaNo13jQ
z21%4jX5X57LsR2E<x56M7V~dOxJ;))+o?N61P~SZrF+%8E2LMiUJVTh0RDdwWG5S&
zP3Z7bQc^TXEP;puWSrKk`6xsMuW;U&PNTx=HGB#XV*q>W;PV0SnwhPX4r;~4#_~F?
z|Aa0(XRKOSeRe3TM$5$1G?GaTe&qDzc$I5&Zzha}&!NqT!vo6D>dEnFD>R-!j>omn
zouW@qCObWL*^@at1U_HFJF{r)JG3gBT(k+*aSh%!c{InJDi-E&WGW)!OIVm!faLNX
zW^}(j)<03&AG2mS*}C~?);Qc~2H`DV={S{p!;Brf#P==p5(RU+thstqYklBMbC0z|
zO3{^XK_1$)#y)pgZ?3+a0CgQ2(Mgx(JXu*;1kI09mcTe(;t#H`X??nlg5SP{zOkjP
zjgr$OqW;yF`%&@nM}VK7>^F3@L^2DV?9D*K<T&AsG%g$+vwz$u9p}4I#N3y|x>ckM
zLMQN?<JFFq0N$TIeJUd(15Bu#oSd542;i=i)KtYN8FaqtZ_flU+nGroF2G`y;g@R8
zO<c*L+|RXM4-m7aj+uFwyq1<@c6Ym0PC>5M+SPd`)tt3z+j_#W2(dDPCE{KjQ!8qg
zZC4(w7{KY@xE4M=^CHEQ;joVS^kBJ`wdU2sk7H(2(}6^MNlqz<w6xP+>C1+?bVIlc
z=Sxzc)ogk2L#Hqvq;}ZzloTC+$Ix3Wj8~V>Y|_%wu4?dO(-8kUN)N(tFemSmlEB!6
zu2yRU9SvCfU%$Y!a92GjIGE$3#Bc5X*AM8|u<^(_9M?3E9jX5k?@6dhNi&YV>lEJ8
zs&U#`>L(2n!MO(Lmx@YLSy@>F^E&ER))qKD+JeT!O6~K(!2#%gU~J&^K-kVpW#-)F
zP*8}215pjUG<4FRwHs4)D%4bL-?+=W=IK^|H3I$zyuN%{p9vF6<agdIG45SCn<^=F
zd*IarqX2;&q@1kmL(7R8=wD~IKp+Wfv;jN_CkuLs2{;7+FSi%&5|c9_Q<v#kSn|P3
z0^0}Juvq*t@L`CeA~~GbTyYo!!xL}p(i2l-<LqHG(EC7;`NHhw_elAL`ePG|$97>7
zwF?wep*6-f`tk1Vv)zR+6ng8S^|8%!WJo3I_DySQ3Dxo@LRP_{ymc7SOp)9y$gAEA
zVjFN(S7`(>u7sWC!McN`9E`F*`&i1Is%6dBmjG10+?<?IIJh8@1A0IDcA5416+a-u
zr#Fx^@LZ@m0NH$N72hp(K7alUEhmj|fEcy&GyPrF?}f~1O<|e7-4aNI#FTM?Ua8vY
zey1lGbNcky7-x+q5w!%<Z6Db|!aP~4MnTJ(nk}C>VLzzp!9$7WH*eqw+e+wh_%d;Y
zXRMcCKJkM9wfxfpQ~8Mn&8)QwUq@X_JlF1=Fe0t7ql0wQ-d5N;U~0BtFR(9M*g;Kt
zf){8|!#0Gb^<1P{+w}WW!b!z!wTh}IW9ZVo0^{jeCFQ2(u`z*8e%(@)KC@)E?vzho
zzQEp_Fs<~@vORx{Pa`<C%b783HUYeVE2?&IXlQQ$3=dl!e4(8>!IV5bsRa%ohUetu
zKx6dRUw=Ug0tXZL3)bwK!P<l#wXFLsR%5s~=qcn!jP&y&nUyg@r5Ts!MkAR6Gt*>l
z$47QUaQ#S?A3=@>LLP^<DU3$Qc~dW4ll`NFh=@p%$APiE{Z4VGV71khFtYmvG@2kp
zY;A5*`YTazTX4j+x15!7Trw6ZWxRVA;>+z|F|(j{H};^EpUDpaTd`Ui`kMCH)2H8o
z5I_I|22K!y2_)>g?H=(Z8c!>dLeNOab);ttA;M~QM@&mgOCdI0fpqo1awFvmCyQ2%
zike!Lek*Bvsybfe%;JvCcRX$d;9MgjBocT_cN{>2v@BJFeiOtGRXI7GXs?Mn&pLuz
zpvbea746KAOl#n^pUJK~)6LDclj7>b*Q25Pp#w3uxiCccdGV(QJoA8Z)mlOT%P&qP
z2Rb~dZL07eg8G}HMnz%y_RSz(MI<F*PTb(Y0OmV@H^Yzhq7Bn>S9I+<FqldOS|A*i
zKw}0{Qbk1toWftA?w^9M%A#s91L)mRQgHBqV<f6skDSXarWg69A2ov7m@$6M(Obw$
z6zf8-K09XDD_K6_VhT;Okx>>wN_zS%IG;d9+TY)g<F-`#2v!QKkzd{VYweFF8O<-|
zR9YK_`#nMj;5X@-EZCU0P}E+Q=Czn=98%xXvRj<-Axp^BuHr%^K+jo-q&}P%IyEj;
zGpF(M@i{setUKvEJ(3n8y<&22>@(M4F4*vj2Lcr3MczHZp(ST#c08TqW-9J{`_%K;
z)W4*pBURK{r6(s;C`q>Gs}YBRp57SbN8tcqZXv0-)U}U|Y0y3cr@)uj-+c&xzK|ko
z1*Yp@4~!%0jbz#qFJ2V7KfO*y#tj-cR1!l_O~^lRVu+|F`nr>y0vgwqhoj{tpfiFs
z%I$b(5NMc@p`i*mcE!VH<rbI*TVo8$E|Bx9CuweCv5}Fp#?BlR4|Sdy85zBJ5$I=l
z>FAqwDH#b#WMZPA=gASU^*FTfThcc(JugLG%PGKguY&F)uO8GKZMFiFQpQ^K{rh(~
zWo(ecXFqRi#YLu0xqy&$O&DWO=}GsDJIzi@dxm2T)X<G9*!1Hod&<b9ndTr{^D~Q*
z=X8**Kl*}JaL^e|dhza5ou3Rgc^^$~sp|H}hI$j#g}s2yC3JJM16~<yIo0!tu08~_
zv$KkdiDN}LwA<Bh$NQ35U4cdMs8BA@5)ObO#Yh878+`pCX7|CUW9E*-tdx6~nK=kd
z3)|gdwPTi#8^eM}@m}z+MuP7!vc>s-=jhN$cBdy;`|!(tL(quf*akV3IA<!qr1_bf
zB;8{r&zW@sZLM|5C%;`Dkk08aU=t`!r5)f6ffYZ2a}s)kJ!3<gHT5ahL7|je5pt$<
zH-V7(>Ite2A8~R(FD+fzuXZqEs$|S<svO*U?@V6BlpjTeXFNC|S|v4WoUDO<6b=AF
z?QZJ3>1iG0>$k&ZS|BtM+!7EN-<bEm<X!&&TxAs%kHRj!0vE@9^$fFpQp50QWJ3f0
zPM^GR0FVm6vNW$104)Nz(4g2ERx?kCm6cTpgoq?TcQv7`Tk8KdNUV}CfBl6XsRlka
z;$w$Wo?3blh5U`eDn94UGy<?B-l3&^vWp;=Vip_SNuhf$c}E^}nq^<{moI^x2KfLo
z*vRJQW=6)H(IlW=JV2|Px_9P2YX|4~v}n8lX7XF|tVOrSTFHBlSHyX}6QiEUU7ROF
zSmv75(8TY#OH2!(nCrF03|lLlU2O9Y6<12Gx>F88RwEL=Teqy-mM8#n0jOPLQItFo
z57F8lj6P1Vy}CL&cEgw*4lSqHbn0Wqpl2Ta?|yjI$GfBBW?LBV2x4~oa$VTg?4SL#
zM<)CE{Vq%eZ*7EjcRg5R4<FT@7aq*`0L&Sb3(unsG3Co<qh+g*1GZiV{`?rW8z4^2
zUwz~`F-q%0Kn5iQu`l|43C|xt=>WZk9m>*rzQp|T%CRNQrAwDUAJo;=y@*F{2RYYn
zZEV;&=9bT0FbHI4UlXoan&BLUOj|Sy^nSG(MjvXqS0d$qXLxuxr9WQg(yV8s(0)&X
z<HRta7!aFhM^C=aqetX#eJ(7Nb)G1bWV)^7*mC5xv$JE^5&yoHl>*t)?NHm$)Wn3o
zp2xfowj<cq<?d85(B;8e5@Gzw+*9$6*Hy4t#$&1d2)30z*K>&7Kq7tn_l6vj_o7!?
z`Mj5!mwz68V-1P?c32-ciKLs@LJ%I=+r`QgR%tg%LE3&}UZ@gL@Jc;%9`I@8;c9$*
zJSZIXW?XgPrUjA|a+(q~vRCBKR>)<eBEi)%8r;tu?1|jpta73$2|uZtk$E~=%4ocu
zuPah{!_~EptWJn>E;=8q3dAmJ5JmTym~851!BX3XEPpQ3%=ByxpM3DX5W~sgEVrY;
zep;7HZG2mMe+4S1N&ll47+-#yM$9eEj3oCTwt{ISL^QSj)sMEe689lBz+VIy6br?C
z%O=brB3@ZVC1!lNd*uq{BN-g)^`B1wghDF?#ti_KMj-QVz5sv#A!B5;a5t&*3DJ!k
zJRrN$Hh|ZV7Bx7{yXm?LMjl2@6f_2-8Y)?#D&xS{`TF^(<qarnIi~}-1Y=qe`fj{p
z=-jf1^SjC&ehT;rm|ggo@O0mD`L&Pv*@b`r9OP<i(EqoM;B#1!Iq3#3S(sAaF_VLu
zKLU3Jnjesrg#f34)n#?Gyxi5m7W@sEosjDUAC*276=*@Bv|gjSOdzw7I<xAhu;dDb
z6U1VqnC}+%Y3RSBqRdpjXF(JB)`tC`s8|>+<>ca`-g5-S<!wN~mpGy^lTzySF=%l{
z?|C)qY_vY}HIldYezXz3+ke?HiGRNFnZQJ@Yh=Y0Eny?wLKTo-AS5ER*~e{K?*j-A
z4VndQV}72`1MtTGWI-W*^<Ng0i-s-HZ4k=cyRlB(|5#9Z6gjxLxj8t7w3IBu6B0DR
zI}jb6**2{Fj{{|j!_goWk;2br+>>SrsN+|2`0_yBVI!+Y_uM8m$@j%?e>=+O&K{QU
zUcr6}yg&FKmX?-AG*sLhT%NTTLL3QhG!TLH)Inc=HtA%W!MpxlOpFs$R|W<KP&Z0I
z8ys<1P1Kz=LTG^z5TLf}`p<gk(tr@$K*{qn;~G_Oml*BnJ`_uAs&t{gkj8=+AWtol
zp+zU+WLni16N>3b7kcPS)_&62-_qK2*PU(unYPosSs(Lkg0a`yXYMc+pd>&TjEo|@
zy*57D8)sWP@)~V_m-P$Pa{H?X!BD4{`m#aLDpGd>7!7JQ<n=7Jz<Dsku1xgiNZxD!
zERTDa$(26cW_o7EzAmBrYyWUxSyWuB#^@t$vQ2E`%{2)ULBxzq^P#Ccy1N=dGHbH3
zI;&N)GGkU^U-Y4>47w!%yS!0)Kvq-J#GH#Pj#wEj?>uyW;+R=`_!k1<PG+fOdG#kx
z_1OmfcU}%=D`1PwkocG)k&e1cN7t~3vW~DMR+mR`flOB9el0pCW(YPNR6n3R$}HMh
zwQBDEIyx^s8)bf(gNuvzs-)=u;&Wkb?Ng2r6Mp*i@4f>XOVD3SosD2SjX1!$!ejBo
z)>s6qFR_S<o^VW_rjT0J`5ttRP#;xmUF@NCmz0#W|NVOXdJ3S`1E?Obd_O84uP}*i
z?R@y~LFd7B&;p?$iAdsIo2;9B_2BMlXh;Z<898itb^xlzB(Th9jN^0WWgjo~cvWbN
zOX@9&$oZ6Kh=(jX?bhB4W06dmyDBBeFfB02p_F)4YJ^`^@Ot=yM~hx?mz%8}*dSyr
z<nRA6==^;B$Dp&g=uunqwtp}=?dw&1{POmnZeTeE2LRZ+p{oN4b``7(CF&KBoupy<
zg1MmPmJbMqW8fs?Sn0m=X&Tx4?L2X0?T5IQk9>}6aE{eHi@+#0+pO_IBLSpVkSj7x
zD~%gULbmK_E#KWibtp{D@LiqSO<Q&{UlMc~tWAjzt>s)1K?-&>rRH>^G~>8IDvfP)
z+o#~m8XW4`WwVG8{#L6xJ~n1ns&eJb`hCl<RaXeRU}5BWXCV22Pzf%)@87{`u<G&p
zH9J_kIn8s-r|GJ>ZyM_BQ$4bR7Hu6Pd5tss`TH|pSYMNgm#NerJu6k09~KaB9a>p1
ze?boW5FQSa&3L7)AveAylY&wNHq=9A<^0^wpVewzcE%ki^K>7A0B^@yJZUO@L$752
zrk~ig<!d|05B~>l7){N{*kMdYrUwWCjx;EcP=imQI+Bx<W8CrJh91E_fZhih`bhxk
z7`Gnorw~zH8=IoIS|{T9C1>JyRU9|-vw|gRe*~=$Y=3@O+kuFl?M{EuH&)-g{H$i)
zyQ!tOKJYMnHtu2ITBbx3PCK{QAUL|l#_st%xPE17Y6{xhc4$u+Bx8xeitu~;1wKE$
z@kRg!Sq63t3RN)l1?Vv-=p9XsjP}5dp<iBee=$BPYHkq$Uc)0NwV21L8Ok>DJdjGu
z{PBPjWG;y3vgnutOQBjFmi(+*z7fUzvhc)B$%%yQ^<FCfxbS>bY4*&5rl<%{Xl?20
z-@7gCFh~l+0cg%1m@tD4xJN39N<4G~6N-rkmJ6(hOC9S%ezBut{zEb;*J2l7WA&28
ztFM?C0{H-SAA`X6Frqd1fvDIG+JGIL?@U6?wWpbw0abuNOc-&DNS<*3FOa{lFVqmG
zf>_17x<w$2FZN`WW*pTNw%=#2JCA$$vTeWlT}dm9h1dhpsMFlivN;nlY{W4EJ-KiI
zD3ula!hBYHg}b>*%fJZw5}2O^w50|_=0U6g%!}i(otr#8K_`J5NjL!G+v#)dxQ%St
zm~$}}z_VM%{Y27|+SSrV(ZU9Xnp!r5qli{~4*v66asn}_+w%MAnK^-5W=RwwqLHq~
z?cCS$l|vTocV`ox?EJE~dh@Bh>7}j0GT$TIcMk(I|3tHHQ!r!}AgOYc^VCZ17JIlS
zoMvFx`W@Vzok>h{o;ufB$;fnp3C6HJmflCD)}^%1ks4d!D2p|?FJFe8v-SgF4x}@O
zcvC0fDw5nbn;DYaij2B%4U6muc!ppqvfOC1SJe!G3pX)u=!AX2-Ar9ebJy;|uwGGz
zL5Fes!Q+id$@oWwDJjCy%-@cQo^t`b-}2Dz(i}9pHZ6i4ty~kc+?_xeN?R(`k!xT}
zKQ0G3oEsEJD1aF26u2Wiprmo)-vrF=Lts$653Ram>DQQtx)Gk4X=(RBBL}>io7;Bm
zO2?nhVFgL_;#Eo+xmQw*LMe;j!p)h1KMDy8n}iM#j!;DNq20YSZ14)9U|nD~0rYel
zmj&8W(hNzD+*&v+$$(#Rx(zg(i3<gZC@EotAQx;9;mrzaYP@<s2&lN%RCp#dSm9IQ
z|1g3<#MoGtusx5cD=+hnh3#1*iWk=Tf;V?e9#is!v;n8h4QC3U?NL$4OzCm_By5~+
z$fC_Z8+WErQ8!&&!Byz@#&K_xCtsNBu1ua$%uT*Zzw_-Sz7ba(hA@JJqgl471(@~l
z+w;{+wcQ2<X$^+*^1U$jQ;>)zxODo@c6_awky+@GS>XITZ=Tz?%ld`PZ#Uu)1XDv|
zKBvW41<2b>^WP#ta0YO1%1n}GLUYT{p5y|uB+t}+C8ykDq&8J$`EnG|$#L{0E4v%~
zXE1)EwpdQ)yLYp|$oJ)o%%~`a8E5Uq(5+N=ZKuF_1YD(@svteR$UdQZySS_XRIC)Y
zz*U1*fOc|P4)O2bPnp~RloA=KU#ezmVgfueAtB-R{mjfO*xo&31)9}L&a$F6w{%zC
zVaq|L2c#(F$Ggd)<KAq<;jqy41ZQd~(>9hzDU^FKXtS6V_C!f3gDzHm&>3J~mEEEo
z1gE<C=-l}(t`E~1?vI!Hy&l<+fBfB?4QbI^&cj(34uEzP&v9HZ$coBTBD$Crb;U&i
z`vsN8C+iWFMUwuBD^h0-C8p^$MUBq5+T|~}l9*;ay;1vR6?gdHz@@fqIK%5L4Y%+6
zK@ykjb}eJ@(?t(9rjz{%hs}}Z$ADCvCS?}bJi=vVLv>MKg{YYJ3r#O?X+RP@-HfiQ
z7&dtR{0Br5AvyVyWc|%f;=IWg$rasz6@p&<?S+7~an4+7Vp4|?YD@0gB25omBU(^)
z$3?@a@B64!*=3haszM&F*C~7^DhmAB9=jpnraYyb&B#=OZ$=zaaa@u(h2YFk%u(VQ
z&*(SNM7TMFu}h2|_v%%pxg?mnQmb~zn>h=O8DP&0f)rq3TV$(0L`HI2{q{Odz`z1^
z<P*a52Y14an?KN>u!xTy$+?1UQ10L-kdNcXmr40URK`IPs&Juws;Jlx1ZzXx#B?56
zX5>u!4j~CidRu=fJOTiG%rM&S2tD`#fg3o1=`^TUih{DY7&{cP(?ao{o95q=cgDh)
zXhUc0!<*A;hQvmnUV_bWH*GsCW?j7E@=Oc*??f&oUeVII`WHWgU)0PW<J^B2*1<Sl
zpp$98Fr%g7Oec@?J|-q>kgFdjYtLHoy0d07dJO#%$Qj7vB*GY~6~^%dSrdfz_2XF!
zf}#hd4vs^g;-M%mp^%nU$`QSVXnkv51t3c#YcUlA3c3A(8VcqQfLR@B5BSTAExX|Q
z&wb1CZ^6^eNw~B=^+qe`K6&z8*Kt<Q;f~3$H`s_)wlnvAVtDO8cN@X1h7*i<`SnM3
zzXqpluR-JP3?_|?vfqRZC_i^{x{w-nvWFC+eq{BPt92BVIhd-NZ~M3f?wsma!j2HI
zZvs~&j8kaTol<waY6*T489^{F0$q5rYU!!2s7L}foi_H)^B1e**ysfXJ?j6u0ICN}
z$)HQFeBl4>V5(oEs(8~JU5c6hGM_{oJJubJi_y5#`CMny`=RMLKI=h(2jm&_p6!rP
zVIC1e72@c_=2W_P^rg#}=iB29OVz+lCFHheg>vjOn02zPy<5kqRp(JVe!lC{?BIK#
z`N%NXU;UUbTEC(4z^gCk%rzz^AwIrpSbLC<;3H8H&LxqZVblV=K;6N_8^GalYa|tU
z=wLJ^9pVafAP}?NqOj4fu+ayirDgRm9*4k2&*Dg)-|gl}2bx92UvSwMqy-q$1LWgQ
z`z)G8bL^B~+z-Mr6BCY0-`op0FcvYJe_6yxrC^K^+U@8@dAsE+H~#Sg+$P^!W_h7S
z#+se5eMsg1a)O&!D|B-E^Ifzqs&)2v!j$xeg#y~z4(1TcSarZBx&y|t=*UP+gXqCX
zsBnob;Ixf&ih6>pHl8+re~@EQlR@$&rO-rbe=0DbTMa~stDB$gKDM7R2Pbq4uv^j5
z<xquXQ$;V7x(w=pf@*DD*jox__PE4EEj6{zHLLY&<Jtdj>sJ}t9Sn91u)R>Je!IEs
zO|7h~6ck``p~`CNucF7m<>~3A`F(c=s+-SlVI8Q&+&^!Go&r7uT8fuX<KMkohv_11
z$8me|vK7%dlG$SxfCij84FNFrcvya&%}HSe++s|<m(=e?fwO<)>>WC~U!i<!F<j<q
z??$83O+r<u!ssFYBM=_Hjaj)5$U|Uqm^3IIfzZ0K_Uzd+evpP7@QHKMl5IG&SplV<
z?r5K;yY;R;`tD~Fmv_{kI+&UhXq(NU9FQ4F1E&{AbQYB_pJ24ZmrP4$!fG6(5ICv0
zwBY+g)0}S5NF~Wzk>~;>#nj~$9LF@>@SN6Rv^d!-v8Na3W!V=5vH3OI@T4&c>1sq=
zeIPS}GJG%N`;LK+!QrHr0I%|P?OUqlu8Xx_Fr<5We!kSOft}qp09R&|E35JmiO|yJ
zRLj)lYA)Aw0BCgZoqzoTMh)X^6HUb+`A3f`K>xdO_C`okAQ1!9q(T35rDdBM(|3c7
z%R^EJru-Qn{U!!Nxo5a7nO+_b@pVc0qm`3btGP5WQL)dv3vNTv)b~8xEVmgqrdfr^
z!j8+0WYJV(ZBM2V1C?jIX;(WvEg)++bW(HXlrQ(tA0MN=-350BW*2NEA77@;fZ7HI
zS?K=3?O&ScQkS0I*st)UWxl0AA-@`&d<AtA{Y_w@hV}-%IvO1pXKLDxhy5MHoq(y|
z<M;qWjz6-V2FeXMc%YD;|B>wh9hK?AJZmg`^9t)31Q3z%&H)(4>F*a26JwyK2S=?L
z2<U8D>Ei|>i_?JnVO`?l3MSp<uZ%k@V2B+cQfZ&TiF9&u0s#qJ;UDAU`C)pA6Loul
zvXCj8CkliUFqeT%-4-e!Fwx2uGO4Ml)%MH4MQ}mDwtJt$i%i|ekn<0(UulVH+Ax0r
zbGASl$a%=-7@S=g7zzG;X#85FU%qsiPjEartUIl)sMy=vm;t*1-sQ`{?pAFyQ9zE&
zYJ)*1#bD>*JEj?y;mgPW>tVqQi7d-<Xzc&lK%yP`!fjy6ggSZn{O0d0W2WpcxBvp>
zZ+}G1pCNo$IUPH@k}`9bX4Z`v+1K0V9Cq^vWwz^AAipW<U@U;}r7Vq%WaNZkZ7~!%
zOdKA^Y*?fIeM;u=q+Qj;Vv&{;3K0i|j-L{)YUT?j*_$6+!pBEDUi(?NF&IQ2-ndel
z(lowICt~%^$vML5)u-e6rhtIg+HQsD{rMcF0*AWPijopq&qMX<JttI)Yv}_G(z?Mv
zCN3;B^&-7y@KH1S#K3%RD{I{fYWgb~ufvKHIQaJVob;=#GRb2bCmjMhcLS3s?@-`h
zB^0XD;up}^4z@3kW{=~h0d=Oz{gCpMxVzRh2}y%;KvH3Mdiq%RR|O|woa>mE*Feg*
zhT_`|mVR&Zkd2Aq)7uxi?OxD{25P}VNngvEj+9QYL{vgY#jT{22;&!(Rx2@!W0mg~
z7S<aYq`vzj=@>41KRJ1#A^SfZGbujTMMUx6cRxKOy;bFia-MWQh+J3_IZNIFKH}+|
z0)$PSgq79$%5br}d?J^o!v(}GYf`hUw>hde<BuQT^$yMd@*P(~VUy%*7{mL$%1sT$
zc@BcBTm&svku$_tUJ7)drZmjW%`GhQ5A|U(_H5=k#L6W%k?DIwG9=2yj~^Yrk-?_Y
zeC<yZll6<)i$?m^hV5+S=MLkWlx8<0rkIe7SXkLkxU_#(fJLarXPqf+j@}1{qbC2_
zpFhO9dExhT&+jE7ru+1dhfeOdqwn{7o<I4=7x>?A#=`pV)xi3XoDHwj&WVJJO>V1U
zr$X%Eno6{3xJ>i`L!6}?fzSJTxJupB6iX~L74!UDs~1u%B3UfRMsgI>ThgPtNXr%J
z{u&~GPw1mYP9I0Fce|(^ZaYGwI=H#nZ?JE9NON@}wVOX~3C`~bqI_%SYC0+4TzhFg
z>T~=%1|ADwhRC451WhF&A)&UW=Iq(CeI|D-&R+V*yysQj4Xkw;n82a`1pN<0UB%NM
zjg9G$Zow{qxr5~G+a4p19TK{(p?_>}Uo~L>)CMs8Wil3i>*;6a_MlF~Og+3{-03<2
z0bCoxS_4xM&;i=tVCdplzx#Lmt&u{>TJA}2#gJ8Z4mF-a?E|+3j1QIQH4`RC84j*{
zW%&Pd9aAg<ej_x+LPzW0L0<F6i<^YX2<QavMd@g7SLEmVgnRpM)3Dc_HINqooPdn`
zZny)?(*XNyVTMU0<?I^vKM9~K0va%$Teqfx$&mkC3XYrfj0~n8@~&V1e7DEpigI#n
z(9;3u!8BwbE87h|Jh!zmo(rSrW10TB9m=Q(a6oKgV!l%`hRQ$MzzpXRTi!6zp<Lqo
zd-cDv41oLGVw{(cGZA!h(A~geo#bFbV>6adc*qhsquekXm-3Q9ts?N1_BHo{b^9FD
z5Aw^kh`YCEMoy0PmGdLC>(*A5m#0xE^iS_ZTH1lKXaA%u$u2;O7_p|>0n?MffUmDg
z(g*M3v5NbM=OmK}1m!s<9%)K}3%fc4kGl(<-JcCSU$C!QX^-plIB_;sQVI!^VpZwN
zbw8A1H^k;Y`XZBk&+Ogb3;)&`E))r)<k8tvOqZ*yswxAAIh1x_58LAg+noEdEX@G_
zdU$v=&4M*W1E{LsR|H^2l=ibWx3<6_0{ke*EXpu0zOpj*Suy9`JGfjZ3x*^B3}Z%-
zzfr}*d^0crcy$K)`j~DA-~)&kFh2>41!5X-a$&zuUg>IXbo3zXZ3r_C?ObP)=iWMa
z>4Jj9VWMcGtTfyF)7p=tpF^Zx3eKRYfZd9tIMBC0*9JNMo)-@ncONE06f!o&pi|Q-
z)bXvZJ_H1aXPB#)sy7uHm;Gw1J9i2ST1$I-<Yed#P{c6)z=NIT)sf5h9B+!(e32v`
zC}Mjn#Y)H~(sSXV>8F^HOpDv5bW9dw&%p~xQCg?FHQ;->u01BXAomI-XUjLP-*+8h
zVSRc47sW_ROVj#DWma3yh#FvCbAVZ)j~j#=OJ)v2LqkD~yb~vvBUx8#3<s$PA7B>@
zE9B<IY88b2eih{AMyT03Iu>MQfkgv!LNbq&{ds_JoiPu=Q<2)_2TCE_5TLAl(f{-X
z)gwMWaiImfDrl5p(-bp%acRfK#{~og;HD5jr0{|(1Gd40RAM^Vp{D@OBcRSe>SSk;
z78hr)3~caw!}k3{y)$q=Ip{1itd=4xN6bAIz@fsG3rk2EPf7t7yAV<E&VYh++sA3G
zaz1UP7%x?i))n6X*avvR*>YPk%v>PMA)x>O@h)7RJD$&tseG!ixF#c+Lxw_;4b$sP
ze5wlge2oz@)YqZHCZeQ}MJDF^mQjBn!Amgd;`JIkODSg@ICq%1f)qw}U#$cjqBF*s
z5avqlZ`#2t+1_q%XQz;Zxk>=cg1`&2t8N9cB8Dn$GckjrW?+DX8x^7mTY8j!_v+=7
zC2Fg{5i9F{2eTgSGf-7vqD->v2<};fX$!b}?J5<F`)9#eix>{HZ0|pOD1zZI;NxL(
z_P)xOua7Q{gZPk}o7>RvZ00;P71gC`c?$J<nFCiNoTILEKv?E5yokhmtV+5j6-0U;
zGav(&*IzJ5TMf>p(Gp`_qbHfY@Kv&at@AuRfpMau&#DxJUAxq6Fj?p-?HOfMIs$ZP
z9drQpU1V*K98_y+wmOCly*)F7Zdz_cC+-Gk%XUXaro;T<i(OTmsotFE+53ZA<#6pD
zyg1CsL+-G#*?=`pH~=0L`o|Va7&U@Bk4Q-e>O4JZpTP)GvkBOB<(8~qE)X)^RXjXS
z3B%oujT=BkK!6}aC=6{FuWW(pMXR3#?&EzBvt?VrtO5c)Xg5M|<&~G07o=xkIpA^0
zM|YR{TaicxxR?jxyh*I5WNl%=$aJRg%`tYSmP#ofTr>p|9y|`l@w;<w8?q{>j!mtt
z%aG5%BoF(|0n=mj!M&a?Ppc;OZj0%J<=W5M<7v6}!>;k=F#Xm`((zxu6!~XoI-C4+
zDOvS0%vo=LhqJE7We=nkd;ktDHa_*eSra(uA>oy3dEiPa6%K$qo@OFR>6ju-#wx5~
zR!Hf>r+yQ-Z|P<!zfJ?r%q6H(o`<88J_Mj2LDQ7Ik*$^&3fad5W9H7+@;Eu#hgHPB
zcu_ei+>~LLBHrco_ce()u6B5Q=;Qo+%fPx;0;!(10Se#G*;#${V!W3jL~Z$L`d!Pp
zeAf>*9Ibb&`qdRp8Vwm80y3_Bh7ot&VKzR_4noS`yEddb>lxiz@;d!5a*(ya(p6gv
z?cW+uiJ${I!?ytAFQnummr|f?Ufw7ik@M%`v!3?p+sqo7d`toZUtr)24h{y}-}O$T
z(7?cb5L+-8RR|auAJ|Gr1Q&J3>eba}lX0ztW@gSqjO+n<k3=FtXc-6NBOKMwxw(`a
zM(;TCCdv#b0)XO&fp@SZr*^pXE!x506cwA^^MsuMa*w0&CcN^5-n!oM29Z={j`$`9
zu)Jkg*|$oCg#YPFzOI4D?Mpx&l2L}<RFzWm)P>tkda5o$M8T*b^pl)~T_Cp#<B*X>
zgVn5crO*%hH(c8IgoJ9lMV$;apr@eS_c%Rvtku%i9bW$W^(#z(!|3`PtTznQ5eNg@
z3<1l>!z1$S+4J|Kk(hHfRK^FnjDo|c3+g|Hc=~z{9|pe=&RcVs+qT*amJ^h6G)qnT
z;Y6z<kKs*G=k44p6&XF+%dAIxnEInnx!HeBYl+<ccKSC$@~VYw3U@kzf^6LW766fx
zt1E>vw7BqMV?hCw0iy47G|0;d0<KC5>UVj-S}!Q5#e{$LDpy~`Tz;8J|I0ijr+vxn
zS(pHfv*fvX^D&MroH(eBi;Jo=y+B7n)uOv|=Oyk!L_`D-^*??*2g?GxxtgF%)XHCY
z-l+<Zhn*b(a=1WH!%2K89*%5mtgNnXwHy#0xH<<_A&Ny)t@alT-$L!YW7`fz;gYX$
zHe9SQU>)}02V>dvxOY>&%cS_(k^H~=yiX5i+Q4-*3S48N%MxSw4iy!ZBujfYj8Bu(
z_iWF9`gHTVgo&r;DY$v#1>JdRX_H;f9zgvP4kQr@Rvjuz76z}3^;uqiez)NweHg2Q
zlj#7>xz#aV>%|uSxQk-hSP}YLYaFHnE9uc%7_PvF0AFBR2AlyT#+U~;fMM&6LoRnW
zH~0)ajmnxD4G$lsO6M&DDm0F_X?hVCtHpp^^5a+Je>Zc)bJNqe(lr2V!2qN$0o)Y<
zazaiaq3;uzW(A)yYAAQA(VbIC5lSn#F}J}Dg|XK0LRIvIH_KsdIy9cYtj?wIfG2yn
zz1<uH1BiDhx^N_Uz|8{|I=ljt+z{V$_F`Q4p>k*Ligy%p(Io)knEt9b>dW%0mzVqc
z;D(1x-nDDk7NJF4j-PAtWNtnP`FGu-Emo3|`2uAFFg3;_40dG%D75Aly8w8g<U)SF
zbt}bX-y2`B!fdz*vM6M(D{v_k)Ar5|iLgecjYwuMW3`Vk1m!(r9tH+6oGIXKrlwvO
z2}?+Tsm&E`|6tWd<n}IttIAZoi@C$YTb^~Lgb&X=0;+Tgkcmt5KolnlxRxp9aOU6B
z?_B<{!Qt8WQE4;r@jAj;^<Qhc@&k!9gi8}(Rua$(c;!1GyA#Fr=Jp(%g9HjEu2k^>
z-6xnh_;W*@!(7{qEz8R#O3$AM5TxYht^l<KoONEF8eC6BkOBg0>8d4YBoH*A)B-Mx
zJ@k?P4|{JOj%C}nkLqbMWGF*Ll1dq)44HW-M23u+lgv}5WGa=AlFF1R3dxjt4o`zJ
zXS!twO=Ku#EQH^FiQebi*7vRTTidqQUu)Uk?cI6|_kG>hb)Lt09Q(c>`=M+R^n|9<
z>FmhW_;acEL+-@J8iokqhd@hR$Ja+FlK^m+sc+o4emx1Rwd9q2!8n6{wTR=+zVc})
zse9T&4_>D3lB)PQWg{W1wvqzRYo=)<W)PxV;Prso^voCYu0l41+vyK;$(=9jsfMQK
zaL6Jm)<^N<iVVo%lSOny<I-?W^TbMRqNWD(QUO#BNVXjm`BL5@d-li^T?G1u65J8o
z;^JOdVMt8z|6$J_vn<E{)Lxt9q-5O;<X?pbU!fNYX=|Hl3krC2ESO?T|IU1i=S_Ss
za<*U86OVhD`mQr~!Te=s+W6c>Kf)%L%x@pRfWTSAL%AU6@kianSq$Lz6{VJnEYB21
zbyce4lap<u(*eZ=HbOC=rZmZ&q0izoEV^s2mHo!)ZAoro;y>w1XcUD+pMtO=r~^cL
zg9rKmKBE#1^38N~yS}<RU}<>6UJJAj{LmWGx1GuBf7ebW@l`EpCr5~aAj~JkM;{|H
z0)=$%V7;L_#t~<4@Wb1HEk)iY&c|zJ%J<!xKeyYj3<{W&Aqr4X#mB|jKOcm^Ws4k0
zFLCjh^Zk)#6xZQWQenc+C_U9I-#SWJ1@$&9>Nc#60Fuk~>(|5X+(GLF1l$fT6vmSQ
zpi$4hlVyK_fK>&JFg$_Mo`AeWUk~AP1{;Emj8VJniotiM#=7ieWU6qTcw+pp{^<Vq
z2T36s0`yJg12)-^*PrQc>^>h{E8L&tX;ras)PBFjkv7q*kdSwOVJ#Q05bjUTTeorf
zuyudh-!B91?chOYoENBbNo_<+hKj1Ha488gDI9z_eUd%qs$aZl@3??H7eLK|!Um^O
zH~MeV1mK<Z`n40tqm8sMkoukocY(k_#iK{7f!Zfig6DVf@F+I(F!7xx;kuW8H^Bp&
zEQgVAe!eS+0K&=S0m^Q|eh_c%VBK{?f+k!it4lyscfE$8g`VD<f%+&z!^WNE=Bbtz
zV<kDm*3783-U47YIb1sqMyma9et~ZhiyvO-<SyMwnKl%rS5Y8$XRVkk*!+F0gAXFo
zk8o~$730P3QshXDR)%MhE2W8sB4IFt^a6P;5(e#ypH1LvXkn33tD5X$V-|uS-;cmm
zC_MK0Ghv|$U;utj+qN|S&Y*C+yOu2%y>N_yHVF&U!g2tRhs`GLF=pRW`G_<E_fbi#
z1&EA}tE<0${Tk11YHDf|CFKZO_918q*_s~t?dDnwMwSh)(#dQyjFOt4*?OEwHP3p-
zsbBK(rLY4%9UUDD%RHiIom1TtTode88u}{U-Q3ZBdieQ=YSS0@WWE`d#z+0!r&~}o
z&{O;{vo}oLw!TiSVyUw4%i+V^>~4&Vk%u!5N#0#?au#9&uE8pE;R)Sops?^+JNWo4
zN(AJG-k&Sc^_Bthw7ZaM+t0bVz7pr>uU~&d;kl2;diq1XcJ8O35}o?uZMG5HNcvA$
z*?o+@Y_m#=yg1Zc>(R$0cCoUE@}6<o)Z&y@=(|%?EN3>Xm`cYa;uKPg6CH=(q<EnW
zJMtAm#@9E}nJFi(MLl~_qLDk6tW?9W|1o9n#VSARQI6By*Y}qNAK)7iez76@=+fft
zo}z)pU#?^PRYpBkriKRG5fV645AFVN@BQ<IKw3Th{2{Sbv{OixFd0PoZ5zwS6PA=j
z_;EB=+0aivxEgz&>-ZCfed%tytF*O8{7nVlXa35QRgF|mq6iA14hmtE(`I1OWnvWb
z^p^1Q?CN0FBVXPv)|AKvQLUe;ym{ryb2LDW?AsX~(>d0@6&q97u45A(%TA{~0BLC1
z&c9nz9eefij&|ND-l(wRV*D?TX(i$CdkC+)UF_^neOMJ0U%kAO>u|bUEA;f~(~-RT
zhulZBEw)}EYFo&1s(3ngHEXXzGOB-rqDSsDDnVH-l-rwTs`c<V7e9Z(LGu8$RITKv
zRp@F!Qly*Al~|j9x|Fan!&l<L7-?TGfCQ<jsSW3Zm>ZGg{y?*colqv{rj!2v!I+?!
zhePaMNy)c^OyX`sIanbu?$k=r<l45axnT7o{xQA}4JWpYG4z3F&*tc`6xnx8po$>?
zFi?K+r`P@m9x5?>q@9i(inPfKDFwm2ySfT$bv=D*hPV$;lSX80mW?q3A3kVWIsc`)
zfuDWd@<spCdo)Y;6^vS6z9dwt$RAQu6R?Fq!C`wMsX^UnjW`0V0Eds1q~wUi$wcQr
z7+85Yf(y7meEDwtOGuyhkL`C3)hcvFMpnKG{*jUW|KDD|?f;*=C*B;1`T6;PCAR|>
zfU?XACKdqU&W-%u^<-qt0=3Gr-+Ig6K)KP<GG23g52+qTaPy$kyQ~rboG#Avz@}v$
z=$$XjVt4avuiQ*o^W8ja7C?Cc836Ey@TbdvaX2OFu}KBD|5-OTC_qZ-9)M_$wz_wl
za?LtjJ(X20z{)FltktI&LdnJc0!<<rTNlxY2;i7r4jn{$Wn`9s&q3+%###u;H1=0m
z8|%v7C2qbQ;RjnwdO0_g%wG4+(n3(^K5J{!B0mT$10n)#@?78fb7H-#gb?#)yc4t_
z?Ecx=PSbKW25#U*A)B}6+yQG$*k1QvjQX!He}IRFUM@T`QkP%SZRi%=ZWz~jnL&@^
zPlu~<DO;TxAhbJgOEa(rxgf+QX64qlwv@xv(6j1g>zkMy@CQkI>%YG47{Cm=(-0?$
z$E$Jc1FNKy%hFXmazs0uiz6+?b9F9(U-_j>F2dv+F+mTlzx3*o2hE=O<A}b9E@-(R
z7=kcU$)i&@TP_GyRn0KX%Drh0s!^7OAE76dB~^f;@X644+plt!Ib;x>BWWgI5o1vY
zJ+n4j387@N^!w~6Xi%dAL!)69s?mVBDIaysnzb9Wvx^YGP-9TBBZ7Z&`<+;kky#)4
zRLPhFZXC!-B>+q0=CL><kTn4f{U{FekP{gs<Q(B$f1X+HtysTE_*r9}%oO^H1CcrE
zwfcB)7bD+wg62ju1UJL#`qJ8Mw}C*Ac5K@w3e|qquK|9Py~@?UgD6=i1i3nBJ4ZoE
zR7oV;Z>68_0cJpg2CqtzhqcD>2sNWBzH~Pnif23SK1$@{$tbyCJn-(_+Xq*b&C@rW
z2`gWx2v=2r4gEMb0BPa1i0tn?_3H6*3AW=GailCRe7gu*BI%_ffNOQB>2`>+e1SH!
ztJrJ2DAdedOzw>4QZr!`Usy8THpCUM?%IC2BT6bK+(xuJ9;)h{`^w$e6e+EfMlvxj
zFWPx1`D<rx6Q4o5;gIU>Ob$`P;Je7dklo)T8+1D}GMB2VB_!3jmUNBtzwd|NX*@Wh
z&cxwRBRbFP&w1bgA?|`#3DLP*7D_!~GyNf-VRNabkB`!hs)?n%*Klz<J^uCJ_;>Mx
z;|m22>XNQzByM?tiTB?O18MuY(54>t;6an`_|<zBfe}fqqthObbtK}|qHf*FffW#n
z5p<Ta)S)gGh9_<6J+Hb~uN2SS!Uf5G{EklFonkI8zGo<>xVXDJpmf5XLU$7oSjWoB
zT;#R$v$NZyP{}w$5WC#7COO$4IG6-SICUi@QB)d8EYWF*(+nHycVdZ8<J4OQ!K5ga
z$Jy=z8;C{^|3YtKAyy3*Ke|KE(Q)3(>vv-?vU_FoDY^_ZE3jU$XtOc;oBSa3PWUS-
zcJzf~A%_%asXDCHVM%+6zMR)_Vr?Z+ggOI-%S*%RmoF*Vq0X%Uh~6dOSoHNM))%e=
z?xXNX!<89i%}h+7*d$Dk03ZWk5BX95J>#lXVw`i1^-{=Pnf-P>tmY)ehEJ8-@^fOY
z;)Mti9^@RT<gsna%gepJy^HZJqL*lH%BCwX<^CWx^9fzu8NzEHiNedTXDlt1$9d6B
z-QQp3^(a96(6{|0!${8aEV%+3S{V3s>}bROUg&$-Xi8qx+mlsce)7WX-CUr4aEqj3
zhn7hK=0++a(GVcWERNGs<(m;Or}V;<mWu6zrvH-UzD$S=hf&*RZ~ng0c&2K7tzxzD
zD(A;VlovK{u8>)J+wxpqt>9LT@n!ieT{N_~p&~^wauPOv@P$HfyGjRykSNB{a&X9N
zY6$xU+bvC-o8vD+slY6b?a#&csBIXE*V~X^MMsz7!J({k|I*n~Qkj%w?m*R*MtYc_
z4<IvYN?ud572Xzh84ur#LQI1%bVH|ffXm?F=7yyrL4^RsD~0|aI`Z!Va~}b=9DyWt
zWaQm<nTv=1AK*dq8sV_#g$)ScF*+?tGtGY6VY5aPU<%)=matN$!BuI7f(50QGeY@;
zl|bw^q>h3(X+V@bQIP1kcd0P<%#KWpTCrIKWIeVA;u2#W@PB|if+G}(4A+W_i@^>-
zhz6HDU>H9jL{y7Dbo2tha<BT0SISR&lzdt9Hn^lw#vUm1stSqS`?=4N#G2%IfXy64
zXO4h6pFZ$(S=oPZ+S-SnN-W`yzdM&NdduR(fX{1@CFW_gQio1eTI{~f=U);N7boI7
zx0XjYN1(vRg}!+MO6pM5<{;BlROWwMl%d=0q^@oeft%aCfeYIrj{10*lAJn~s3}F@
z7u0R&fY{_(2Oec{VIE%K@Si9H1&I&9^16W>O)0jAEEN<KAnt&$$RO(gC#NV{JkUf}
z8)ND-UX4Y0l@0|kx{trSEzJ+VcB`lxz4u_DA&;#>F9S1+GJOZIf(<k~tn&ucWfp|Q
z#9(TH6$i22F)9mPZEfVmnFfX2n4AF;3NlN9CM}dD`>;d~9&8a^1K`{-OP5DSpewC#
ztpy7Rnzmu|rcML!j!hdJ9JG91LSZ-a?Cj4moP)>-gy4<q#jlIjEj-yu97K41@Q*C}
z6SJh&s^*<tet-l5F><Y{Ol+(JK)DZ&PAW>uzt*lrV@5mt)wnL5M;Q;O2~ZyAwAWsV
zUiI*bkoJ0ZJJG20oJ9d)|DKX#BK<vCW#;W&16t2v$^ah8@~bYfgMx!cV2>dscR5d5
z+}dVFU-NB)(`*pGN#B&ea<-uUd(gpFOnf5^hw1XTmfW4uiCei0nmi$@FW`n{uT8Kc
zAkTMv^SBpYAQwPLr>ApQ&#x!8-mVY@q9+k`3i}aV-Hz((Op**<`*G3}#7GVvA{9IE
zL{(jt<Hy5WnP6`mBjtS#o$+Qn<3dAUV<Z3*zlkK`ZkUSM-D2}sG+grI00{|~!+<w<
zHey!;123W*Va=K~5cT0{G&5%<bY|%Bv#}*WvI$IpneEu*8Z3sa5Ji359yb>kar6hz
z4tLI={cRU(C6RgJ;^AkL8t%&^Cn_#}4vkFUg`lvu!G~=qHlN&X9qOFZFQ)$ku_oK3
zB3&~LJCmM?$?|R`(TRr{D`?MBGJnjw{@ecP3oN&@FBzr3<P|$k?fPrrZBLf?j%k-!
za(2tt_xPkVPBUidO4xPqdcRm}VZnHv@l|Hui29O=;$=2rt@oi&OT~wod!M9}>)f-3
z54|nhF)9TXBw+Hy<nODc&JRSHLjTPQ%>qR3!<UHsDzSE%in>xeO_}9_b%0O#KQU1`
zK;&ZWl~Xhc8oax>2stu@eM)?x+YUY}xeThie{tq8`w=7`z<F(b(seW7orBE=rZFRm
zaL@%khlJdryC9c)XZ7sdob*J^9=RY8hV?!cHyh#5fox#E{}50XWbAesgQKJKz@H3T
z6RE8dKYTn@<(g+=ROtiSaA1H0=R)x@gT;m9KBqmw*5py?+bwCdp6|FA{o`B)jbeq7
zH2m}cIu$tdzzh4vjZGFGFMX&K<L0*avO6W$|GCj8ornMRuNgxY^Jf>k;OecfKMS~q
zu=&9C=|dl{Jv25Zeg6BYVU>Asf1eXBN{frn;R0utiwtXx<U&M)2{s;_st5S_f6UC_
zV|qZk2-3?Yu7Obw_WXxrWK79V7<NCigre}4!A^KJI=CYnK+NU#7f{nAClb&jh12RB
zt=X-L(_>4E-<I&WBBP_ZR5xULgJ$yBaVDel+y-t5ni+}xqgM-ddO+5J@HSFnH~S+D
zVU;tbk6%ZyVaLM&vBimRUnALQyiKLW;~f)j!xZ*p(^f`gF1iA8o$_)ILs$mqHkgh(
zIz5!@Yl?sH-nX7q!Wri$4WB}sd|Qx^;_!o;$1yL?kBB!!9u5-^gwu%F*m;yODzBX(
zoBNE$qtv|RB$rwPQ+4R%l3Lnl#`e`8qjjWZ7E(%T0e}EMNqIB(RwKUu6OzoI4k4_3
zobA`8OP8S0EIU8`0U3A79SCwzK7pq|+ptAaVF+{&;CcM%kR`^ChYh;_bM_~0A)`%m
zk)TG`^2Xu^X)y5VQ}Ub9e$UVGIGafWpSb_0+Y`&5fS?t(q@%5U=9j_I3X_Z7H8?G8
z&G`4FBq!H&?U;!)+?{vbq5s$As#4)fr_Z0lYcE{>dLXqyg&fBXhy+3ztzESX*%_Qr
zmfpI)K32T{T6Xp~oMXT6Unr#zOdMcP1)MJU1-2NOkdS!%0T~$?oCaQxJ>jO(*Vp%w
z1iB1gH|lYQqL1<N2nV`>p;cidF)0HsxfvQ7RhO}!C*_(wx~>joW~DLwU(#^Py)EGV
ziH?}<+lO&nJXEdUs9cHm13cGZv?w8cgR6KTqkY$%id!4HkhBiI&;PzjNdBpF&TL#}
z{YOVJC#P><yoSN0ysoRmb_mtxjzH!PFaE8VV3cht12^Gn?{HTc!sZ{WP)fq+I}w*3
zh*@Lj?=nAgc)R!L*jJ{VG`P_?Q-GzmbAqc-C5CR$F!Q^dj(`n_SnTt@$2Id?a+()t
zGM>Jz^yx}z+G=F0e1;=&+RGR94>1$Mp&PAIww!FR*+91+K^Q<P62{_n{ye63EbwDS
z6`-h3%Y~DW>`NP}!-tEBkyh}7*f%NxaNj4~#7n7E+$PvaL*tg2a(q?QMQHui5~SmA
z-O`Y9b)KJbxc?%U?Io{$m&W~qf_Bkkn5<L@RtwT?<bZeygObI7fwde7VPS1hZxI7r
ze*XLkalm@T);kpff;GtB9*tYIBL_%VpWED#aLJNWltv^W%-!>C79Ie+OrHQJ2Qv!R
z26#2TusBhG*w@@*2ji&wsUUa8+E$49BgK6@@PO4DxgnD6VZd3I!^duWmk$IYV@epQ
ztFIrhzc4wdnzH+nRJd+k_mgKWZhy7O8uERmU_o&VW1n$sc!6Ks6>H34wl<jX=9Usq
zW6$@w6GV)^<m&8vdy$tPX$D~-P*PTgV@fqeGddIUd17dXgoxeAz3l={YFk)Yk<t(2
zIv1w1FADFymt49F_}%{o`S|TiI>^VAaFD`C&OSr_-di?}!2}xV`YJQe8g`*(V0pL^
z9Ur})29aG3atSZrDxbGmP>IPP2m!!0L1aYX3SV@X!IWZK0}Y0S2|6vEdhY63eQm*t
z5)w3WcV#K{KA^LfidJiFX-I5xO@;AES5f;CpC=U+c0M|uXe@@aG&FhA_U!)7WpBCN
zm@Oi3x-_-L$QvV%2pkH^ep80o38dWY){%^7`zTx%qa$Oo`X(m1-T*pHxg+v)uU
zb{O8r)rcJ|yH*IS6UskS<vvK9@pERdCt$%4mU?BDerc)Y2hy@(6aW;5!c58+U`+(R
z3CSt#4$)Jb;V$7YrqBKK+9jjFy5-rONDTY(r)z3z0@=5ZN9mY9&M2@@@oHOHS@~pi
zQhC90!TgT>1&AmO?B*zAl`B4Q82_lF3-fkNdH{CywK(8M1&h|qCT-gtUp&-A)?s0N
z!O@AmLeK$l8lqqac7HoE((=(RK0A$`XC(nHAqrX__gI8l;<j;S?Brj*h4MQuri^_R
z*>O|CM0x{y<(9r*l)}M`Iwx||31C!w6c0t9s!ND#G;>;W@7do9H`}tms|zNiv$FP%
zmA;zkU>97|3!xlg&<_$4=6tA*Uxv=!Z2^amr7+1vtU)0MAWGOU1g!_Q3FoO}oO*!~
z^gMKO86;fj!J=ix&@1m``YsA;YDT&6hzO`A6lT<Zg~DneZ2(61v1$9VYPyhscDL4{
zHb<+I1kNl_h}zsF5Hk@WTAN`$h5}FC#%36UXh!q;;S5H}jxz<x`~G~cqfN3$Up~F?
z`OK9M@7@UjxrfQYcz;yQv1E6a<kH-in>@uQuWQ%H#87_{c~CM}rmcF&^)B<oPab!t
zt%qn79il=Dfyaj_Aj!9P)F3|y#D|DwF=D}smqZ*#jr6+@zIrRc?K}VD&0Sx`^<zr9
ze~Dw}7yzGe6BeQd`Dbs0vM}Da(7+ec9Bi|$4keURLaYry#e0IHqN3<_@7ePap;~hR
z)3R*DV?Ve`!ww+D)6>#G+IuE5Tq5Ykjm)f@$|=DZu{Symf)_L>_2jT+gz_}nxX1~2
z@_iNeGaP{<>O6hEe`%BUndJo{1WgM{0m6`JshHCSWf2|G%CYb8?Mj>P<Kv|txocf+
zT0Y0hcwBivM{s-_+rtggi^{z{SD!pLo0!PGlzJPSWuN)zUR|6K_-Ea<jqazktym6!
zabMi}irZDizj(V?>q}Sx0Y4=5n-d!+Q3S_3gkoFdGEJ-ciUQL-V7AmYjA|GgV%A9u
zk#Wka!fYl^Xi4RNB#V<Rq_i|O@wqIG?mv2DjRIOO$j^_=Cfkl4YY-d-$a<kqDYMDs
zD6u;p8yi~1i;IfF=U<mR_u|qbA(^>wW#YB$?C%`%6R5!%wIt}l&~Z=B4rTGCt9TNO
zayz7bIz`#^PMlz`2-He<RTN=s3~*)14fHD2ZWNF{PVMuH@k#M@304|Aezv2ST?lQP
zM3KWhG>IkU<vh$Z;fK@n$#XBnGrmfn*vyp>o%XJ)bW$o*+LlPkYmP4uWzA`Zxw9~{
zDm;<VY)>7lGMfg`Ojy3`CY6(WIXJfO{BZ$xP02rue9`!TcBS{wFH(;-pq&|gG%%aY
zGN~vlI%?Cn4PF9(Z?4k8G-F|+o*$`N@&qy)RDT35jbH}V2uzA%u3Ra7a}TH$b|TFF
zFeJdN<E2K_J<q}I5z4Sf(~gRVZctm?hj<+*P6>ZB9UTr|WK-~~uy%-49o)_tzHQ@t
ze3<(;#GP0;34&P!EM_Mv1h5h%Lo5svO|qRjGP{WSdKwNzpn9MaS|s}Aag+v(P9gIr
z)Ts!dh>Cb#4rbqqSQ|IEuiV^6&Ucv?iA@%DS8PXziL^52PcEL8&qqd0pzjQ{8-lem
zUTnN_wLboJ<I=&2e*zn?yV}lcfBewu`t+}en5i@)-JOx$!_#wwm;B%$?pAE+kB~DR
z;#h)X%8QGOkZ(aX2<RO)3>td#=9a*0p>3?Fv|00(HUoa);@T<yCL#5pw7@N8c~
zs6ss+N%`@^2P{(&$G0%`1mH%CwS_JvOg(#B=B|?7jC!%h(!ByP7q@r`YD{1c0EExc
z($ZR4eTF$dS41<a6?DxfVU>v#*uP}msN6NS2}qOxI%V;|cv@oyyf<&%`Uby-3<F-J
zfT@s4V^v9riXwkd3fm~m+_)!HvNcU>zsj7j>jnd*+s--f;|fMf-spCbNbXQIcjyWN
z;erf)0dyt=3|ADA#wR9Phux5oYK}BFHhu+%7{#O`P#_8A5F!E2bpkVlkQewba#pMl
z203`sJ(;NEiBz90cyHY?;PA<@T-#1-K>+2NNCAKV%D$e)9mEDm!3H3RQ!FT?Re5K_
zBKZs*yYi|@B%Se7r)Z@NuZIQ(MN1rsu%Hb*vcr@$dhuJgw2p-6)UTmE+07c&AIh(D
z-STTfj)_$Vy}47ZJe!M284)CfY(ZG|R(N|jI*y@~Os{gyhBr%5^??+Z;cLY7mH&?7
zKeY9KhvF}Cu0B#|AcfhinA2g6!xSEG2%)gh!#(&d-e!|LpQDhJn`I$5CaN)mbJ!mb
zgzHda^F)P4nl`R1V#6%hCI~JeRnyFS2n7+La10L4<5tw_*={X{F!Nl@hUA=`<q{%C
zl@W~@ZEdg&0HT0Dh9Un}CZ>^TFGvd@4K%6nqQ*qdpUvymujfM-HhjJ?6r{1Ksq(@?
z89-!MrDChG!O_U3(6nCPTWEAb#HH9c-EtdE8>+FRYs-=Ue5t4?dT#c7ASoPJ(O2XE
zNL+}6k(CDy2%b2?A>qo7zkEqbl9|`XxcYik5KD2RPTNpnDC^J9@A_>QUbfV}N`3vI
znh!RR(l5&IC|fF=#~Oxg9yf-mWB;nX`7DB~1X}IbUqFI@E@Siex)3MDptJ`Na&Eq8
zcy9`FWe7>X!^@?UpOGdO%jUNnLEYfM+vI15az%A~JmkWeeGQXO5E6f{SQSQ<zVbZp
z;=UoOEg`Wz73xwX=WZcIC#UKwRd%&8Ym7BC1n^m~k5Ch$oS1@l<}-gFKp2;3id3w=
zq2X<=dEnHGI*g5Ap71_O96RtkK5UJEL|6;1j1hq|5}q|8s2sV6$B*XbW>iIJhdel5
zdSde2=KSZ?JPXx}D!UhgYs$H}-JiWyT{j>6^arIW5DmjzH=Eh%Q9X}u2gE!cf9V!3
zymBR@stVOU-v*lYl9KixJB5VvEM<wYpRHPZ2_I3ygNof>Ic19+VJC|Pq!|z26=J3W
z2yjD$M<b)SEeC%yZtonedNx^`V+Xd@(?(EH&z!E^WGy6w7hFPMmxCQKIoG^>E3z82
zClJ6N7Kxao<P#VIx_B+uKVkm|nZv#EBlIjY`-&u}>95?_0I_*ir94^8AuxtWqo5V1
zX3<SD@{&mZ8;Au_8xpCle%>cYbRygK5clt{Hmasuw@y{wOiJ3L&u1Z=Yvy#iyiMR>
z4cXaZP?eF9H8wp(S@&PGw7_Y00$L$qTZJP>c#$9DC4ZBNe%=25{wM<qE0an_h5r2l
zC+fR8tE-Qa-*2(r#L+tXH!=Jz>7n-i!-w_MR(pW_6pkQ!5)goO8B$;QV^GZb(?PYA
zc|uT1%J`R4`pSG~vgQJ?y%?{oMeh9J1%>=EXd37~fXl)z5@EO}bMXSq2mU)ok#_r`
zBjmYo)0MBqIIA73te|yTKqnLaCQumzbx?rb6M|WPI&?OKZ$CiX7knk=-iq)8O_Yqa
z4*4I7_~bh%RGJci_7JoXg6~<>P)IvU!+jyf_JTBIKylOWKPIzgK$VNL_+CPSDV8?0
zWb*H!7b`-w0|@!G#)tRs$Ln~q(LCJv^y%OKz8j7Tok$W(&SLe`?>k-s=pFiT6qSHO
zAb_<vx4abaF4jh0L^(={*5jU{Leu$`_w@@n-m#+C#&_BkbpP^#f*u*r6SRM8wygXX
zS<EJVm9v1T!IkRB1)&H(vPcY;WDH)NIo}+FyN#|{q~{du2+P2+0R%I%`&U&}v2X89
zQQ2zoZ1qZnM34z0gb?%sF&N@Y*Cf$pT<L2_Oh+vysEE-wRO~oi;iQ#(#tqOd;KhBm
zD;FbsWk1iFuV23Kazr86Xq`CW3^N`uuwUTlf|D2<MlJ|7h9fvN4Ahb%H#P0Ygi*GO
zzfMH|vr5BK$7Zf`a|cLA42gwoRTO`YasX@=AyUT+A&FW(_>8J9_yQ<bcK^c%zhh95
z)%!d&Bzo!}GQ2dFxcB+<gaRNvy>2J#>KicgUZrows`*-??69f@h>Y~_1B;AJm2t5h
z?ym%tRsM%wKS{Ya5rZ}gtzPfs8b(=18ezlj=H9*gG?+7V8{j~R=-;|>50)1jfr{f|
zy-}r(Ttzn18cPAc#df&4c)tI09X#0FV6TtKtXsEk+npvLt;*|GT5ZX!-?j%AJb><$
zJHi0M{0JMmm6vbstgYKBGt+5~+-0jArjim9nW0h|MwWW&)H|GWaNESVS+T2^|2$M_
zg4llInQxLU0~!C+hGzgw@CcDl1DQm<rAzJ%7FlW31tQCHBkjlT-(9`N5WmcI1$1&L
zn(o+Gxcz{ry(*;l>@oj#5#l6aup+4H5UA;we8uih39jCPS}m7alsAmb%yVe<$C!0O
zYzn*plsusG8;~&4?dIoq!fK*C_vh)=d}{I&NlQ;30hUZWY4nP~Ul<_smlmqk7iQPu
zC6HgwPc@ru4h{kOev6N#u%4ek8wZC*+StnPkx|EC5rJfZOHN936Jii>9o-O0+%qJ3
zp#UXr+`wU+YLN9Qm~G{6u-$b3>h9?&$FZ+qhBFu=XOfd$aa`gV#I1%BvXF4x5%&2n
z-@Z91i3j@ob8g<YdU4KSh%%tf!`)y?ugkq_<@>U2yLi@AV8^9=Sosc_(7`8+s}J<l
z*42(dGO}~*b`&?63k)0}6W7;|juwX?Qa49&^@Xma$o@5l>qax)0Lo(!$w_U)4SFal
zC%peWY=UjW)yF~)2D|y)|Be$B#2tgZvQA9<m(QQKLX1jB_wK`o2O9P(@8G9^doTxB
zJu>h0Hxx^TP89?15<dmE{`tA8ZrxApWVs-~6$>BPmNYnbu3jDe{m6W0l*V+YvFRz-
zukIdeafDC9LR$|1vo0>0oU3<BwvC-<4eMr{xuPIw<esj)3Rw&db_L<;Cn}l=k8l9;
zX@09eQ@xV8ZVEb*Dp0ccLWcwvGAAQ3WQq7nq&S=NWCXiDglg^DwF#bs(FnKbq(NiJ
zN1zPfr>9BQLWRPIKoJ`LE8^+yO;ikFwis-Knj79Z0B`Gj_IOqFP3-)$3!)&8`28Ma
zWRF4^1rwoEwW|8_E!7*06hlx?w_b2w{jHd7k?&Uj-TANnaARP9AYZ{DRl@tyBNO93
z+0*jk{w&;(AVxb`7Qj%@{X|9e=b|h0wl?fbmcPzMouZ&w`L~~O`-#8G3JSEz-$U7V
z_>ahF#F&*M5yiJZ9X?2U?4K8&ZYmQ_3`I%<%XsFi=$W%^d2qEB#zu>{VJPs7^DRT@
zK3v+kGlx%k<t=2B%#Hu@LWqUVKI_C!$UF@4ve2z`{d#`-YUio!M;%3#vpCr-5YVx@
zGXKjvZg0l9Hw3$h_iwNhso0^8(C_)s1Y8405bnZ{A3vh#Iab~-u_gDwnqI&ZD5lyu
zu|uCAJ7c{5M<TZOWR&0I_eiSb$Sn`AuC5z6+w@FtuKuUr$jH#@Y#TDa@{r8!&7^-9
znRbQU-RU7a#5B|XJY4GNzbJ-47~!}%g@A<aK99`IH=_eTR^QnA=cj#%cxGE!SPV~|
ze5ACZwS~A|UiYuE#KcojzT?QmiA98AB=b1!{pps_3-X&9Dn${|-mcC50^bKldC)>`
z)lZ>2qW5v<JvWiBp@wf9GkDz6bsu-r@UfmY7ca0M(CNS5>yE8MfCGeR>;)mBs@W4t
z&Yrw(3Xa^UMt3dyJs^|0hlG$Q*TDjTWY^klxpGSd*q02(FOyP>hve#6<*(8`tNwoJ
zyi@$lB|}B4S4CgC`EnNjdNPV7`M;O9YSf{%5Cd2@KhNfls3VaI5&Chu-v|l8thdtH
zxtEdrrjT)48C4=r2TQm-sT^vX*LOp?!KPsB2o5PMdz4{-Qn5ZMDJZVNLYRi860Zcr
zp7-rjBnH&*J^OA4`WS^Htm}!q>%@uo!^7Jd7}~2YE`h58D%#WJ<>{GaRN7i{neH@@
zIe@vq$xBLJyn4mrWEk7MAzeiC3Tpp*7(wdHj|b}wcqXJcI0V{bVqxLj$~SwP*-d5l
zn&Zlx)ZybanU@^)-{1&L@|s1|MJg5vm*{wcopSK-@Bn~@ZvlkQf*~@1+k&&93>1CI
z$R_9J=M7tjQBD=%EQNjpl4wQC^u~Kq^EivKBjUghI)7`eg~Xi5I-mh)M=x!WD4$H@
zac)k|TWY1~Ys3ahd6|k#zX~Qy3Q79Kj`2`ROot-z0V<kGvL&W`Y}|QX_SZMY^q-!b
z{@VmCkK=qpJ2CUlosJ~wI{U8le5I3T57n1mGJN)n@0mtpKx}OE!Gb4*YVY4dp9Hi9
zEBEMDec=64u|Z`lqs~OtvRiw`py*RvX6(gppMG68s(7omwC-falPAP%ISGlLr%&%A
zPr>;w;u(^(`IwUALUBO{#{pV$Ek(_Y)*Wu&rmatt3giP#eGg<dC6%jSPZAE^<OhMv
zFvA*Mhjj64U&TBeekw3whC?Ni@Pc2igft>S(Lps$CzsmRTjIP2nomJNS3p#VI-{6v
z;p_|fHuLbdwJ^EQ^ZCEuwwyG_mWy;BGv{E5edYPmuQyFyUHWtAipA1#!PA5QlKlPH
z*cjU5ARECG$51vbK?3_hR<|z+og2!ks$UVpoIMQ;Vro_QifjsZAgl?|Nar@vUVEGs
zEk_V}@cekz?Rree&-M9UF=81#--QnXLa{Zrfn;0w-)nEG@0??xs4Oyfm>p)Or_aaw
z!Hc53uh6FL<(YUS%CMl3BR_bi=GMqSK$v0%36=RrqL6Qj?*TpmEZ9!S;<=6GozPHq
zSy@>a96*d^w>J^@G(Rsd`4m<o30dt(0{rK#3k}fx1Rdu`ONYu1W(Jm~-70F9^VByv
zih~H>$+_(&R>ebQR_}dvI6Z`;?X|k>x+Yxn92YAxR4bO~Pi3KQ0R)Blo<$`kof@4;
zl2O|evmH!KGFzKDvwGaVWMw`!*s3^5DzFW#E`IJJt*k#aveuox(^yUSFN3lpsBi2z
zo!#6JY{9@;hQuHNK@|&w#^U7zkl`@$_UF7ivvkV=0%Ms#`Fa4zBt)d#5$OsG-@l*D
zczD_Z^T{!9U0gh!G=d=+(DwLWjlO4#@fW5L`Cy7F6O)L`ryAr(Di=AG4VR}-_FrhT
zEd=pn973IP?I@C1>`S4p35>0QPKnol8)7Nu2BE)vC;JhAZ|HIYJpvvJ{+NYuto@j2
zgaZ?$6SONK^v$@X9kzv<>%-y=Bs7YkF$H~(;)@XUMB6$#I*Qzg&2iz+l!{`0R%&*q
zasQ30f%2M=D<C>!!r{6N8`NTi(vSdX-u#FN2ig(Fm5=xsPp7^cNXR8>3C%LlYB895
zR4a~uKoCi^aF3s|o(@Ze)P{>|7&RHRPA4J6!ACGKR8>(E6oh%sy|6G>42{Lo(B&sG
zePFzx^ib45imMNS2}kpl%a?)Vhx8Q88rW%MN?qrbjQ)C9H1h3k$G#`}3o+@jhHkz2
zzbd&IDq@ZorM)Y(pB2+Tywn%nPPa&rQ-`Z1%s>g5%>eeIH-t%mG%7H~W9J7aHyYMC
z^QP)1gFuNh3Dg(dyx#Q<1X?Xdcs8HgKU%Ijd{bkgYuzvvF}#%Yh>KJU7X(6->}QP5
zGj!L(V~digPT_3GS=G2a_ZBEGnzXJG<1_bVz!_J0_zKJ?5LqRJgxUpEYtc&xUKWz)
zofuO}{n~%5Ggp2tV;V+!#4wbUDub(ZIF!-AkBdHr{Q-&z4YbIvLmVI`9r*Y$3{=~%
z&(T8FyyD{B-RHyMgD4Bk3QTWI!cF5Jykb!!3vUIEHBp$8-osw6%4<4ZIfa;Ai%?+}
z5TB7@2h7c?;VyfKN&Nb3^5Nj0OP%FEN*;~;8vmGJR?<Iy`Gfn>qkp%z@2;jRwa!Sh
zi45-Uj(k{@()*>zA*HCW<6KwAfrk;vcZ#Po&OE$keXBIc<0;SS%bc9thc|DCo?URR
z?4R8%xJl5pY15S__b&eY$5s0C<ZRsQ**Mw;Z|TpjFj?el)XY>&ZG%LflKr%~x$27|
zG&U2%jKEp3AHnAbMk>!`L8FiRAQyy>*5U0Z%)_HXK8{@Ckv2EiTl<pYKG!LaEj(Vg
z`NZ>QzepYt6%~A?BVY7$t!$ciX|1A&pzv%q+4bay4{t(8^!+tU1&T+^<{U1)D73Y(
zusg~lO{gi-*BirLE;_2+4oP1prN3qf!H0q!gWMnV@0PM1$BOMx@thhuF+Q&$jHhls
zf{;2Tf8zFA83ioTLXU4I>__bFGZ~^GSrqzJKuj?V58vw#EbTn#l^d2RnrSc%1@*(5
zF6-d%6;)?)9KlQ6{Rf>>&|E_q`Q*Gapx5acaWS#wX1b0J@0)!4_kV^@1cpITX9=D<
zjFUamL;*Gn-0^B}3L*}kdB891*)O1M8JIid!ob9&yd7MC$%V$NU+Q>vA2^^E<3S|o
z&nsZ`#m~)+avUw?A(q0{&AWy-(*MnKjU*q*aHPXp2nYM)aw*)_6iw=#k|kK<;B#>B
z%^BnW5U%Mx9Lc)NOp?!Ai6q1al5eycEU~?O`6Ag+?UN{0vonHPZHtsSO2>}Xf_+Kh
zushDl$44k3+XAM|Zb#VBntrD!ntH@+Rb1sHv?$5Ou$PC-7voE=EqRlxKmfq!PYiv<
z&Uw^-H!O^BlB8na)bEJ$<(>5uo6;wl#c1>p7#n{DZw~?kC=T?&9RhcG{A=p!xCw!Q
z5QB6Mq2x`8+kgCSvqlW~TN^&TBsQZIrD)*W*QQKeFI%7c4)(y?({o^OP?`S4j^JyR
z?Vo&~bI!89{8bNy7l%Kt8vTgrapI%3*-v~R($mbT9eSc-V@?R`C`#@wT@A(!1MD=#
zdPgWtUvt?X{|(M0$oC-URjQXA{h>@Hi$?qH#$<Cer;PbEp9sdjZj$%EBIs%){P$BC
zvZ*tD^*06bqO&P3uHTmK*olcz{Drnj2ppTDgf2brzGF9#vHpTHO}UPKmc4~WXeL>~
z)X1h`Pqtd~P$_hDyC4&U6%RrF5GX2+Py}DjEKjFVD^4WMp8!rX$f2b$z$D*NdRYG*
z%9ae0Euai~`lSAodgsm+(LL+!t$-HzkV>Xv@D7O9qVH{NCaf-AKo7A=X1@o75r~Rg
z4;a<d*4`#m*vSwwl$Fu2h#c?gHh9(3<GpN`0X?N?w-5)tZ(8kqz=;Wo8?#a7=n)4A
zC>}qSRothHfP+&qOwVL<>sCS7Mn_4n8P?I&9qTDpzq`=b2y7&o4IXdS;wf?LDls)i
z9tueFBGppEbU)u(%woCM!B6&ec-Y29zwxqrh0=JFy|e`FW}2o3XVSX$OJvPqp8OIu
zHI@(e{bJNmheO)w=g8h2FX*<)Z#e6dk`kfcXIVkkrV(-d^UYqXh%DNX+tXW~VToY&
z>S2s&!E8Sf5nb{YpfrTI0Yb$}7(hY#9a?q`gd!A^douEHM@5oIw#Y|NTqj!@W5Z$%
zI^E?J7S=JSF1!a&AIE%q?;ZGlpw;_?)%{OM;Q=wK^k4+m6jzFkC=fKkrK6LUcU&-0
zuwpnaMID3{2@`iJD=VjG04-tVh+`r;URn-B`wal=5d5@l=A2|vCdv@B1Qh1voJC4W
z%rm?!X6V5bGQ*)b#G=5}YS!>%2f#U)2{oX4$3+nHpfa@6(K`sB5pEU4UPfhd?(vfr
zJ1I~zPzCF2hX5QzHzLpiqV@r2T?I*gMOj&QTU&mMM<b3iJaYhRl<ZzJU%E74?af|a
z0DjRC^ICv`;l_c$`|v|WQf1AM*Lxd$XtMRfZrNR8R-<0GKg4(W=+bVU+411(^Iy)S
zTf05N*pH4`91XB=<s@;~FYvs>k_EhzQO<#fAS(J3H(xM60L&nhYI$Ub`=yWdQXYjJ
zwR71wn~c-7a}Eh0RuEzj2q3z<4S;?vyo6dT4OKQVx~f3@F5NSnqqtC<qa9V75HtSy
zd)tK%6H`-hqRtPdI(Et9Y84V1B6jY}Qi*Yg`$uL%9ma|=Ff$Va>d~#!u^`|x+QD~!
zXl+&GV5Yi;zP`=Rr^4LawxBp|Y-}(a02WHuqeq?Y_G?UFBfwvjm?%b2yQo!jIQYb=
zCg<<$nW9c&7#0{by@{?O@EAaL@HBDNh^5A5Zd_7QzIZ*Dgq{CzZ9lKLb997W2FcNJ
znyokDbRH9uFj$fjggK%~FIhpsq5_;!&A8-(P_-yKHMZCmqUdbh@e)olM5$(?tP;rE
z26q`9?g)h>Sbf}>B45Jd#(z%bLw5!MJ;frix3|}!jLc2`M-1JAJ|madL3?+8%_2mk
z5%y>I<O_W7$~+$7@;-cwp(=`Tdt~E%?WmmTY(JD6&xLQ|q{32c$h?2F{xTIi$_OaJ
zU_QYsPC27@UZ+EHj)#%v2ls7>8*hVhT4D+M0oC8@`g#Z=aPK!!P~?74KaBk&an{2l
zN;)0K2n?er*d-+;;fs->nReqL2+Tvjw%I6EjU`{;j@*0Tz!(k>FlMMB+F#vI{x&gM
zIjq8EiAQqEO*20=)e4C-$XRro13SZ%zPBi76;fqmx-^up!6yBQrz=tgNcljmgx7UE
z$QQ`x7gNI7c$;PqZ|M&F3|k$4KZC*^YA8fpyb{j$Jir@xMisCSqVByGtOwPtLE27<
z-v+aw_VEP_j*6W~>?(%T4W2jOD&S2cFlEp4=b^MG+EmfqF8Hg!V)&Lt42pf6mk>wX
zWRvN`v5K4c<jE5(fuXf0k-`9;fi!m;1~(Lt6&PgEP*LSS;B7np)((V^{gknp@&Iq@
zR<6$IMyqK$v(N0^9lXqX)8Q4ddxQJym8t7PG;>shYO~2Eu?`Kw`(PyEXu4LOhM!h{
zvzn)3lCy|Ucs4!^{A^L?`vyq^R|;g@zP<GKNb*dR3UMqm5s?{mEWj}1(2~Ad5(d?o
z!oycLW0Wu42Q>yx1Vrf$-v?S=?FEk>DP@rAxY{*PKQz>qCML>~zaJdzXkN!=Q|Ss@
z7wB<yGeS_VRa?o4wcAc(6<npm@7@tJZMC(W;n+BgI7KqcEZG5S2&OnS;BE+6BN1np
zhiHNOZeEOt%0^At>ZY>LBat%eHTN|DnPAxRS25&~Py`bU7f2TcyGK87>3D1(Dx;EB
zNlt5Stz*%QL8yD<yEsjgq{M%xA2;qZyBv+p`fC9l>pPsV$8^s)wv?n>U6&!lGH10q
zBbcCiasAW?$&U05pa5Y>F<7;3_pV+4JV>2HwW6$%p+B_kOyk>&6*Ct)Hc1O4NOj!7
zZM0^>j)13HKaR=}g-J{lsPPO7WpKi%Q35e}MLLK<MmCPxy&IKM&Z=Xz3n^;;-Fl=N
z_&<@4EA5lwe~ZE^;8`6I8R|`&Br#+X3mDk^)C8>}nhv@kD*{{sfxD2q@$u=^TjzhH
z9)>0mP}ti9#7tcl7UVkVIh!2a1Xc-ML9i@|7_<}-TIjM3-lVTdMr=a_XwAe@N3yc9
zL(N5oWZll3J=ZhG8V2(x>DU7c?pzTfy}2cQ+@_a#7gI=v0@u%tevHS%$29iD&f5Rr
z`KPT-aOwxqF9~t*w>xRt>CGDm0vwBcQ14imhsr<aE_)Z)xsL{u0u`yPvrk!^3L*od
z_|H<RW*S-szG99d9^Acqj>h}Y^mOatSLjQAvV4cr9YOX$iJ&|TPBDc`jnIh?N%~7$
z*<6Ub76&e1kMGOtH*Y#}hCpeC19#XB)H!y{*B*%v{X>viz;{J12+Qc0lY{NV+_o8x
zSHBmR|C9Rruzn&C`W$O)FdqJXz>6sN5wU*Y(xIV&E?>z`p2y_YFLo8LPo_yN=r%W?
z6naA~TMV!SB`dOBTy0M8U(Gk=$4$-{|4wtoU=Xv{A8F9RGBAnx%Nj7AznUX&W>BB_
zL`#+-tX(D_Vn3L_l<nsQGU@?y5heo)PCB1Ehtw=J>+yy!$5J$piZ599=CX26%uRhw
zwszM@IJCw(L?ItdZpgPV_Yk*7R7`C4=TA`A;5OWm;4z0N+}1?w{E`UQ7PR4Ql>?Q~
zQ5G0OXxT`%u)89(Y*`1PbOZh)!>*F0tBy`6@>~?<!1lH^YNfV85B?s|8x!dT03(A7
z2f=v(zX+g!Ih@Sg&>r?9#1WD2sDuVT6sbthmOxe-Xm9ksWBaJZ8kkc|*#Wt2qbfJs
z4&Ttsc^>rgfFf`Qc{X}<@<H{LtQnI&aR?D`6SQ39kbv(tZX}H0DE+zA25+G@1yQ|~
z{RPqnbf7f@^6{G9L`$2Ul?9Y6sep_iUga1)j&w}#u9jG?*=n4@15&XQV>7qiY_}F_
z^%B-(R?!!K9J6bQmQ3tMB(Xw|e)+}o&u#)phTzCvtqx9WxyV&T(l;>tXy{b4%@Xc6
zl<b>M{}A!F6y>@^7-7Cb#7CFd0DxZ!>>)5p7-jqD5kbnL4fHS?G9ie8NJ4#r3PPZq
zQ0TBTNF&H49;T$|JC{uT4WOob=)t8q4qn)FO{?EPWvc1r-l~Tg_fVT9joA{p3xr(&
z{ICQgW>t2KgfI&$Q~KjUe1UamxzB7~fpJm`P;h?8ROCP~1qQxS;jcL3b?gQ7IOqj~
z>`ip{?q{vyooz5w(dO2%wYAmK`*e{sszO7;-A{k6blm7BG9D=m&H{ff3H>z4hm;Vo
zFly@RrX^?5YJ(Fe_{I(UXLa>^`AP^A96ZzOONL6l3TJ5aThp0AoIENfD>!1X!3$4b
zE(rIfZ=C;Q-h-`O4}RAuBs6-$b5G0IcmdUzaz=<s55G}K4*Jy~g@M)``lXuSxU6k@
zs<%83*PbbG3uNx%J^k5q4HGebl(}(<7+C|Au!G)4&c`0sfg9~;^}V#udNzHeSZjZR
zt)0W;{2W?5fJvn+ojV{PARsE*2~#-GH#jiMQFqZ1R--J!w(Y?4_@piq<=;CXWN2A|
zBAE~Z*>?&IlaAeiH%ddp@g&8@1Q{97_!1I^UR!TnJFkUdV<@W;JK&fj2`I$oBVanT
zoe?b*sNW$8$Odc=RWQ1^@vfSe(VGp6GDBx^bYfYP(n)BxA&4zV>DbuV@QINL4ev2U
z>Wzm@!iLqqolg-W5}sE*3~PRK++%PX*LRoJ%3Lq=O+%i2vtxO$+%4Gw+yY_&9E3Qu
z!q5OaISBv{-_i81X=|H|(1X8b-Py3IbA;hOJp;qutHA^^VBpfOxi5g%)gN7Az@}R5
zk344-NxoH3@T19u%;0sa$(bZnK|BHE*EbXgY=Jf)^JMO`hBMG~3!k$xT-5>)pA_;(
zXq8R9zX}8Uhm-&Z3wR24fAqFMXkzX5GGo|2YcaluF4`mPICX?$;O$1Hs=}{JJpcIg
z_4VNxG{`yi6uawwsNblkmscfVQcOBekC!0(WO&G_IgMk#`p=m8oSROh>FkF;ACZi#
zW5XEzaCh%Pe59M<?&3mtvm@0{SwAtl?<bl%FqhLVOLzWLn0lY<YpLli2ydbfvD?7Q
z&%<{G`!Q|4sRHnI024=ekqYfB!Bv1pr?%L+ZCfWE3(~Z&z(<$NPNryb?A?nQ6Q{9|
zQ8odScLCW9Gz*yC^JmYnUc7#cIrNqytU|732h$oE>~P4yk;X$@<Kyc~co1#czJ-M)
zLzidi!#4$%x^oy5iFQWmqYvk~T$tu6r?6P4HjW~D=`mw2+X2`FnIi=F?=S`onczuH
z%?EA6cqIw<5kjbsGQPj8Sw3uPCIA;kXn`2zAhGW(dmHfkd1e5q8r#$8@i>DZWV#D(
zN2-?OZ}scQFWB1k2>UOX{n>-35I0SWh{W(h?g>5xw68f_P!S+7=K@(M(~ccJ08K)+
z3n~~ibPv7XmsdFF@tDG8Y~SpSNa6`9;0Y4(5p)1y3_}pe;Df<jNbvK&hEFk(7$S5g
zEKa3@qU<dDD`&l)-e(<G@ur`<CF+Y8vmxhnV!9yqLH8`Jw+|n6L|k$CBBW&|r7kJT
zDa7!V0^ZvvK<$GnrI(WgD~){-L8@M%nYZ}9uz^yVaB0%g+c-l=P*Edo+^|8p{whm)
zTAJ@<+gcXedAqm}ewLKh;ebBLU$0-4t#{v)W1%{}R2y^VfNvML^fUA=R_rfOXcDIQ
z>a<uV#8<GZ^NFg-FBM$05$bIgZd@{^9#KnKA5Q2*XM7VY9?V{QO}ZxxEH@H*OmPFb
zl*IMw#`ehs^p4%n-uL@8$YeJgmlyhe?kbWCGK?U3dcJYeA-N61b9YokZky@%jUpVs
zYfZ#EC^8hZlx>&|+9~kIe02b!ksw%$hver^g2DKz#U{$DIK+KZW8<W7cDKPule9zy
zlS|CaP^vX=w@XU)dQH>Vju;fU<^9zRG5Q=rBWO-yXh0hmNbG$nQCftT<=7^?C}F@l
zEQBi6Cp~bF8>8Z*E3+|r4t(xtCN`lGQ+@U7Dj8WyjTgmxgeR={9td7CGkNLrW3!D)
zx9r?`0eT)lK{n{}(%rfuMo~IXVMf(Hq(c7Q?@WdNSxiE}@r25Z85(ZvgOG<}C|uA=
z1@OBJ{J?|PD>tawrN-d0Ier&a0*a*tG~sRBv`qjs7@BO}y*mX7DIy7Sbz)IL6PMZ+
zf=>klRs2anv{0GPsu(6w><**fJpr@Ji&pV!KhWAmc;zW*!K9K{ffX&rE*)em%Z5yp
z7Xq-A3m|Kz(-%xcYqLbk$m-8ap4U*y68TM<*XnPL3H-~hhvKj1)$hmdB3o6B<@~?;
zZL5?+NbCXiN}`Vl-Kpr&zzOqMyJ_W0{05aSkwFJt4eXX6z)@^2yewNY1n2?@rz&I&
zzkqTMtUfPP7oQG1y`7Liz?+2iwR_U*X-V|N;AABF&7q^VU|PMm)(6h4PsA}LW!Z2S
zB`qa8Kn7^yh)M6v`-p+g5U;ZP69eQvG5q-(g)@9l$I(Z)L*m?V@?2O0+cbtC^I%rp
z&cYHK7M73DC$_qg$znF+A;9C1-@gQ`JhSh>sbwAmddNG=%a-_%iQ8{8`blFZCf#YM
z`a&KOs!O^Lkk`2cuZkIj_F(k`wvY<~Af=#%`5ff%#Qjt`xhfrMHmV6GN2dVA<e)Gr
zZAx~WmU~iHWht_PyRjYft<>3%!2B?Y3#A~oHoT7G{^*bzgEGmc*3wGu^6x}iIb2MI
z?LR>%EP}Ag>$z67Ce1gnf-sHd)$7;UWo2INk4|U?mEOZygATTzsN@*rAcn>uA$he`
z{fnRF3;m|2NC!-c?Dgg3o)P0pAu&6msQ6>JO|g3#8zTYZHIPxGpqC>rG+023R2h0Q
zG%QwDfUN5-9x_Z-lJs<eyc+(!V5mx$1%MtZJqhTK_GJbq4}lLLz<S<Qff%mT;IjN7
zbi~1@14!i?m|654z%TAcJ0ipfge=r__4eTrNUSwz#Z_XSuRTr-D8vEV0>z%5m>B8I
z{fO>}xcCSzLg7w)H9z6p&Wa|Gk!AUgFJr^1@TmECt-<9zVq*G9Eu1=xzkiwRpZFuX
zWOGk9vcZRr=yC^p3=6SzwUr<HN%*~uqC<BbVP16O=1ur+jpAQEgpGXq`jua@9>Y?F
z7j-*4ZH7OCbs==&;6_o_5poa0$Uye%%I}gjM&e<jqq`XO@=hGJXlfs7PYWwJC?PRl
z_{M|^DhvFPG$IK`c5{pnahdqCw#3$9_Xni%P6k3~fGrTmzedL#&OSNvc(r0+-7sB&
zRKXf?5T_SFws2FX-+xS&SgNs$jPFF6Hp(nQL;~+`tg}Nnh6p?I7f7>-_Eqdz0HTga
z)|44nx769Q!Rr&JQ9hx{Dh5OWRuS)r+`kS57r8ScA`o&;li!xbD3A|wvH5jO&dgxi
z`y31~Ac){Ydub2js_^ZsY?Dac59Fl)b#RqLzMhtrdjj)2et!j~oFyxJ_|OtZ0Dg>L
za_<)(8W<41@arcENp8bGZ)C<r@7FQx2IvyMhsyT}g#8!FuV1f+E-_U#b_R8x^0&RK
zZ(Bg;vbGtLC4e~w&<Y~km}b%8)&bT=*hIjvq0HSb`snIK#Owhx1|=oHrLwU|XkYQx
zAj$|C<^=bKmEW@N!&9Gb`3%tOc=RC)Y--fBS`Tzre(Yzdu1i*idliZZhjSi1`#?c7
z-B*|C+co%eJO^VVqwsXfl|Oo?_F?bmQ-2OBzX0s$)i~2kM-}-Fpb~#FTfnC6t&rH1
z88#dy>|AJ9&k!L+rge!3raTMZ0g<b$v0h-B-0Zh<!G27a|09nRF?+gcXllxBI1mXx
zsb}?~WTo%|-%v#=6tCWkU1t9gv#HXpz8G1jKbA4Zu%S)U1KRY`mT(jhVO#zkjZWrl
zD7X)84<&ngMh1(jzJUQZ$Lh^1p!@gHCb2#dEwoqZkkZZkC!Bry!r<3bQ$r_5IMYl2
zCv3-A*vYbqK|FAK&osJ+N^${kDYT8cm7!qA`o?K*K<*45CIiAmZ23zz-&~)JkjP;?
zMP{)xCb13f82$7~$f-~A`hViMY2^CEEGCFy39}uPJ%29cQ7Sxb;otHLH&q>YI}mQX
z712xt))6oxqQ@7UBU*ZNC2RGW{D`Fw@#XXqtFUc2-RXh42x`8uOx+B0wj)_&LLHPE
z`TM&3NI;yWe|>+BbfF46YitInFoGx$CMhJCF9Gnta!4xjmV=37N6;PamX}&3X(9WY
zjjA4Jr8(QRDWo{=T5sQwN9IPf>VdX(GRO2Rw#Dxot8G_SKIdm#3gmt8raBzY%g5&c
zE*>HNEu4%}_njQ>Ty)j^BD#NO@H%DVlB3Ni*XhMwFa3jt9?Q9YR9Ji&aurtjJ0u=v
zVdVUyxHw$D-By+!7>WCCdKR0*g^UKyMe5{FzgYhMK%x(U2LRqF%*$(ydjW<F00!(3
zU%=P|khs0^;gg>gBF-<S&aq_c22byQF-QL(yKR6Xc5wY5YkIj}DoHm^LeF{3XzY!t
z2m1AL^i18yC-Y513`MXZ%j%cUE!q5h6zh<N3@rg*$IHU%<04TpupEAj?e?&Z#US_e
zQM6&cp8?7U$-Of9L0ke9&37N`I6IF+asu0Q7d*s?2^W;V2x`y;f{F$*1)VZ{@t-!(
z6Wt{R=N`aX?jqJTf)N_LK_G+8g8mzBrw}_Fj2lgr(FetZ(~UWP(@$96ee16>C3H$?
zGV*$E&eEzOFI?yL@uc1wE@yjt0w%HhKqnZcpKNjO=Dh`pWX4y7!~{}mBuQ-2J|*u@
z0F~BUdjPjkMn>KAEuI`v+hU|c2+Mx|pY#1oeW(z<BJ78PPj(kQxMcP!c+Cs9>df*W
zrotP?!H_B`DS-%!JgP_-@PXTdHc2;4TbZ<uvej1gtJGs^@k!Ya3FjpHWjs>fn;1Jd
z^aW7Aq1h4ib3*0YyHkcbo81v_Aijh~#w4|E8e9j`V`>fpQUaxlwhWxjrA|b&5oKPk
zxJ}vpv99rHp{GGp8I&i0dF-dcAU?egKdY8Z;Dt9F`<MNjY;8x9LZ!Pk4&ku+-J$TN
zy<Mr))7#rlC<gt7gp&!N72<?LMGX>WgcYV=2mBF!&z@WCO_hWL`tU}mjzD0-$pUsh
z{@-V2W~Qh4xVUN?h%fX<e}vSIfOV4!x%v1Sp;3st1h)gP@9+Lj3RKFp=A>`1iPJOj
zOmVzcrz@+^_scCNS-wuPgK`O;ZQv4m(R3&leX>PouR<W97^@~b9Ugc6ky8ELq|8kF
zUq8nq6%sgb-e3g~^ZXdI8NVcUS5J;^l=iiqOz<A~CLHr_aCUNjr?1e+#l=^>=}z)y
zo3V5uRtIeb&XOo;YC(}MG|STtyOn{LBN8L7&BXR$*t>T0)neq2WA{VxYSPToR(r
zIDiA{)D}pd^o4AMkS5^2QAYuML0N^nC41zEe@i&QlfxQmS&Okv=7J9phm`ZT+}d%}
z!ktUo(6Aitd|n%s+csd@$YHl3jU=(<GvCHWE(mo!(ffsfMki-26az*NRXxELA*V+(
zz`+|#?r2qjHWaP00+z+d??6&=U22izbKq>l9Yr)OGZVGoNz7!rAg<cVKCr`XJvzX%
zbYt({{fU;fn%Y;vk9RZgJSQn7m9<UwM&8_RZqlK_^9a(wSu>@7A!Wz(7Xw*Yzsow8
zd)w37O+)5>*x4z}_VXT!NlefA{;o}(*0@+rz_jD#8DGURAUEtUuswi-9N$YtO%2W^
zi0(A_sg<<cP%DGf($W$tJ@<%iH(E|npG*)1Ek=Os-YqwG2A=w-h4eA>l)=&qb_6CD
z7pAew7VKYuc!XXZ{%S%91HnH|!+TFYn7%Pu@H31tt~2c4LYO=#96jm_BLb8+#Po{1
zGsnQoSD2%Oggx<D;PBv_y~>kkBY-4FcD$l2vWwf-@=QH7O*}bXViI|~v9U3Pf1et%
zipnzXihVh$+H_Pq*`mQ2Bs#8GNsR`F$r3~y5$UvFvRiw<1wMUPSzLbM`>Ch2GM!n{
ze8?c(&{#_c@@{j;!|)Bx!zn192^<lH$^Hcm?K3{z;j=i{|LAq5YB>c3+XNPM{(HR+
zZ~S$vx^l-}ajwrODOmP_$N<d!*`E&E8MB_%D=M(sP%Rf0F3-Oxm-?gE!3r*VB(0lc
z{88u{@$fs@zrKxzfgQ@WZR{_=XuFBWGm4$;)oIvqE_2`H?mDOKf*|`z4O?krG(7%3
zE2OynK7IX@<9vCyp@=z`ar`>a2|lUnQ>Uk`q->7<LSR_QDZa=X*y)hBG~X#7M6sCh
z`0>n-A22aFh1|RwlErOHTjU_hWZb%yik+EKQ2#4*y_!up`K&or5f_ol`O^j5-_7n{
z5dPqTls>dF^O<?p<u7fv5K*8=zPnTq&ArcIGl(GEdd5sef90B&cGuZ&Z~JX-2BIb5
z?p;oqV&a^}Jmm}0*4zgBr_(p9IF`*H4p02jo)%lRVEKx<@W@J0NX)Y!AeKzSsbzc1
zFT8?+TI67ISiG)8&L(es4@ESfMC78F$Z^5k7{$$UBPFuWdfwc7sD#MbLGr+=Ky~kE
ze^nLT2jr3g^jm<)wIjSEp#cT2WC$!BtIo*SIFOp<p}j*$-s<z{A)W`Q6u?ZJ{xIhY
zd9Tb6lDD$%7LOJ@wh&@gefkaap_wbWPNcT6{!Xkkr3S(dtc%GGGY;r=$yyp~EPKo*
zex|st;CP;iTqhpug9p1^b%(%&hqbOeAA98t5*ox)Q&NtpM-k4L{rxp@X%JaJRsZ}e
z%oGqw(#koo8!?vQK~r}gwg-^2s3MinVCCdtf2@92mpj7hHMhbEX|d{Ow4W-nAHjT7
zPtQ_Vu~t+7o&?nlv&G?-q(H*YAqm=N5EpH2ZAb169u5~vJ$3XWr_LIS!tZT1&uF-o
zPV(G9WdMW~2RvcX^X}3{Uh$5y$EO!_%!Q90c)-X9_j)PJ3HM?FTZe156{^t8xM@`8
zcI>v#yPR}Ns@O704^jP#T}q};G2`KIjHa@A)9K|0dCCfO2qF&N;4PLK*264O9G8`$
z)87+kuR<F!0(0BPfdL)<6rlmo04HU_#5p;YVgye*i9DG4=MkoxZi<f1m%h}(K~x8L
zc!d0>`dEWe-ao$rG(R!e>;3zqAn-twLC%hzZc`l{i<aCDcgD#;)(kF}%>xBD#IVm4
zl1}W+KvHvb;?nan-$_d?z4tWx;fu<)^z#+ECdDAmfSw+8rz596+!W!f1f&5u>Tjgs
zA0}u{Q@T8%VF1@72j9L>a0Kbv+)2Z@x_iDeT?+Xm{<8FhK+bE|uS=kI^zxd+qnxG<
z1xByLc*}!Z;qLOs@k~V1HyZAMcGuR_kW*1fU_3EEgz0Qs`=DrQ5@!aBVj3l9#?=Hh
z`g2ONuMCL!xya4|GN9mt-Q1xiS)Q`sqt9=W7)pblO+@0sUkeI)RGtD`b{?Mkq1a7O
zfM6Kb?yy8WR(=_J(L-nj`2DN|6A2yZaCQL_KE&}U<RsHu-r|#lVdxT&QeJ;_7{v=(
z-CX_DSVwwb7@!@1WMcomeQ?@_Uyeh|gQHco-aIW}4H0fgw(b>$7O0G*kud@sgkELj
zFs7gxke`70Ajx)s!S)f#kik#96=(V|Rr%GcpK{Ty3@tDj!1B-1Wq}KUhM$S^%31Jg
zvv~5+SIQa3g$mSiFO(Z(IdX19`@HX*8#|FJ^Tw#y9o5UV?#zwR+}hF_iS_=<s_F-h
z1Y&;2{S0$AY7QRA+Lu@9lcn#04<A2cRr_6T!Z|OR?m=1E9ITXQpR+9rfJP&lW-yQi
zP1{fLz`%Q8(6i6*?LYu3$C<^6eC{8!_3PF(B*>tuTm)}~dv#Dex9K>B1j_|=cXy*5
z!p(>kjWcPFA9w7(1?Gl|9mpU|pZMnYUf9ped%SKI5`%qr{ug_19@X>Sw|$3=cBV*%
z2pN(lG$C_B8c36hBGH^eiIVIsb{m;esi;JyNYO+o^H51Nh*Ft~B2y(Y^t`@dU*~yW
z_qy+AUF*KqdY-lJ{yERnN&WhMKcDw-9LM{3FW7ZLFl;-jvy2Lq@h&*33$B$KDDz+;
zT&5fR$`gC;$|z}?Sw7MB*0{27hKrN8%t6$}G%+mkS;PADuilpTOckXzoQf-*+y8#X
zZbzqdZ~T||1e?gbwSr(}z~I5-W)4?7I<s+OuIcsK9Ul{?PqXYZ%%!L;ZPvP)H4~v9
zRu_aU*z1N0YI9535^SHJ(py>MI0?z4YZ-@b=o{r?xQ1(Z=avpEXNYlv30NcGQ9kIz
zqD7g?L0s>l(>5B4KEZI*4H4@i(fvn`Sbg#vKZC`vp|X;KBKv5Qc-!IFyjimA@O;u2
z#D^m_HM5SYu`Pr$Exv@D#FmH3rZA66^@TwWPvW16N*Bl2#y(7jke}BIM`<Rk=vbjC
zl7zYdp|Zc=Z`|B%=6cHfkls_xj2lLZIWLV{O#8tXfI`66Q)owqgkKJ{lZpOXTxIX)
zUVMLf#_aJg_xhPsKJMD{gx(+J3c^k<(n}<^_)i>OH8y@@Dbr`%H^2kWef?9Y7%t6#
z`&Z+3%3Pyr#wE}Oa>+93KI%u>)*2~^L4z=8ZBFeQJI+TdK;U$6qHu^rNslWvfiLBR
zENocu(?sO)TyRx=LrcrHd-I3?E`#Jz?uh3cK-)HwCTfzob&}yl8v;v4TYjpatn-%|
z8tk{ZO9dmDEmz;2U;}ftja=+R1Nnu=?%~%GX0br8@_w<+O(!vHZ5z{qL*rCbKCn&s
zKv<sfqUo_ZtM8iJc>U$BcJsr$vh?z=pFf^jRB(KjNXI^xEE)uueL6%`HLKwba0Z)#
z;~;Pnl&f^Vela>7aMOxOghI2EWz;zOdU~l(-Nz|PN=r8ayPaFoUh0SFXG`#2h%nu^
zy}mG2hnB}r$oUsj91)Gs%|N>{hFEsjDPDHBl)4j$fmQ$~jzDQ2I==mF&@C<!mI9le
zY#&IKOQVYY+ZcO$W4FXUJ$oX9W?*91tDNq)d%KiRHi+3CwP%!vPSf7Ny?foj&OJR_
zBHVH<T7A91I?XXQU@;P_ndbDFzG~r7{GPDPApg{rm&9bGuk45ui&xGqICM2H&ylhG
zb?aD&IgA-zqn1CuwS0E<y5{(7d9{w#^3C^B*V|{8#b0;Y+&^W+c>5QqY<uD3?asED
zN(#M|E1%**BdOTYkhqMNlarH`l^ru?HOZMb9%QX8%e5$?uktRXNn`f*Y-(z3rrUzI
znyT^yancKN7S7x-LHe~8UmV06EUEqkv`>w_#NOT>&N*=2dMww*T?V+tSuAPt5k{-h
zoXVU?)ITuWY+^ebfpArBR{2Z-zlaW)Z=E{QUP8)MZr8fhn6>E3=lspO1G7`+HjXL_
zZ#LJfE%+;K526DYid>#8Fl@QCPa&7QygU;bTuh9X(3%TN%^9w|clZ=|iC`hil<xHy
zu|p3t%=&QA-i@>@SE(CB5rjs8Ig+Hw_sh!#W@pI--IR!hOBQ|I^d(i^YTMq4o<~&1
zeENIrYm3+cdU+ygi-iIJ2w+K)WpHTdSpOdsP4sz?@ec$<VH+I1bXM}Xlf1Tsgo)k(
zX;$7>a;TKSaoyya&`6M@hE3hz0)E$~vrjixS4Ri(_Zoznurvv{0(ONRFz{kKI^YU6
z4OV8YUke8f0t*)AM?;FZiV`gJ;6a?6k@MliFdF%9lG)PG4oZLSDTkrE<nJ0j^&V2F
zfB(dfW-STE^#YS^bea=YRhu}J{EYSM*9%DWtJB%&kwz(%xWoYlysgYEiaFnCmyuLP
zYCf0~V3xK!40{^(KZOw+EIiOeG1F><>g8$6AHK~+RiERfi?Yj1q^eGW$G3cKn*QSU
zne|DQiosuRD(_}Qh6y?=i0quHkLLZv_oC-6(A5<}viQoMEbE*+#5};SP9Eo-j&0t&
z84?ITWpnl0vgN<D0IQvTpPRm>s*Uz1H>q=W`>~hdXWp&bYxeYfZmrcMzkST<nH@{G
zxHML5sD@&5Z0P2sZ(0M*3^#Ub2KmP0Z$G@>;lmVQNj22sM0$Q)qDu$b#1O>q>@}q>
z5hkr!JK3xksx}%fkQahQ&&Pxzr=Go0RI%TAyYu^3bJr#;J7~H~BQho^c~G^ff4ZdB
zr-1BgF{_lv`9(8BhfcTjY)Q<>s>rdL8byK3!nRE3^3pQ5wf%d{8jjZ%9oD#U33$uD
z`N%|tK%qrWJ1@QDr)R;2c(ar3A2Tls`WR~IhoBvh-3?>hH*6TD;qrjFz3G_h$R@}r
z#+v<o`N*}$3wz1BfBeue!Q11nd&e5h#|;`gNyN&;Bn=<{PU0h(V2980O|`+GxJ&Fh
zZv57%MgN%s4x21}>AmO6yHA!gEei~KI4o=v>UnrIGkl@J#6b%1fnre9sX?r>m#jjU
zyJ)|8Vt{1e`}?fj<bUtklhFAA*&Z#wwTyp6M1)FN2SWMCLO^ga3n_7gWC+&_2rB6m
z-h+C9sk6R)@0Ch+vJ~6Z<t_~YX2i=lE(C=w$1ugE<_6|xhD_%#Z)2s7WHym9U#QYO
zmHJ<;7ZF);aCIj^qfAEs-oEX~5#hap@xV@_$&P*X3yOBQq1a>At7ApQC%eY$hvC=i
zu+8!ppdLPb?5o}ij8}GSu{6xk5Pl9{Tc_^edkYDy?Fqk>AO^q+VbrKmGrzn}C4men
z{YB8;-3=mq2XN}noh?{y3FE-74?*#kfBz5)f{ZX7{4t#<aCY{XUq7{Q?{z(Q|LxnA
zEY6O`e}Uf}Yi8sxS^<!G@L;q7K;mn-nJj`yn{E2fzxzAbc^0}Z;GCJ9BlPqfQt<hx
zG@$3Ns5NNrjyKoPbg^S>wbL)s!NKfQ&snc<6asq20!HZV11D9#gom%n5fm24NQ5zI
zVam~N_K)9RWNY2rH6oVDAVI>$XEgT$_x<VF-Y=g%=~Vh5kMgSCBs^>e`acP)AWeQ=
zCJ~YD@#Z3ySY}|A^RaBna>)S$SOVe=lCf}M`_gNq+X0H^(ZB8<x?cDo%c7E!_3$g`
zTa2x(t9k50q@<jVbyP6I=h>5I*2y7<K$(lf7L6{I<i>`Cco(aG$fDVkE0d0MrI-oG
z{)gIfu+)h9<-jE35GMK$)8g`{p!Mwdx+MF5|G48p{NHEtf9^n7`qMiRKC9VOnV`@)
zZNwb|tDkrHl9>Pwqvx?F_){lPO%>mu%4GcnO8f8o=MP)U{)`H#D+2`eq|u_`x5tf7
zG%0hMJEV`5j!*f-QCeTSTnNu{QtI8w;l~Gl6qd`p3>6k);H>J8Tz+B82Ec_|?&msT
z0~ScM`hu1fJz~cM>zNH}A8z0fyY!H_mQKz1m;UDztG~{Zu<(56CNb5&S<I<eGehyW
zXg;fyuw(qcpM!bByl-=RVNsDFS7cxo)uXypAYhQY`#WstDIH3kJm-vk_2Nb5x?0_<
zzi9=at@J_0(Se~cp)_Pz<-Q$KiHqZg+{_Zw`J0s^^v4zwe;o?Dtq()aaK%zPySV0*
z6h^-pC}D_&xs9m~ccT%lHyHmrJ!2zypBwp7@WA1jWG1$$sZ8Bab$E=}M|;&*BNX4N
z&Pxu>J&2RxMRbHa=7S6^6nzhun1hPN?2)sX$Fy&!=Zz1tF4;3S&h58X-3G5$o?q2i
zS2H6-r6Ob9JgYf7GtZk;65@GTfc^E8<TozDi>+PYGaxmq{n~vc@&u?FjUeWB%?xwh
zcT-Evwp?paICSZ$VOmPkjfGQ;Prmg&MoyKHOk0(AfYB{)AAuSGDMP*iVatx#@+x6Y
z1-E9HhVqNwTi_Ve-zdKRs#mhl?Busf#0l(cY4FgL$b&1J1a~&jdZP_p#k}?dvztCN
z71>8VEKe+bX8pu&)mzte=kW6A#WNiut0F$%e%AURXM<Azj<c7F&El7~HZd8XQ{Ds>
zC0~N@l;WJ0S1QhH?b?J^i-kpbd7peHlLg0o+ZP@#IAd!Z)MxU4IlyjPiy-q~gIJSZ
ziiQK0NYLN12x2k_2J?vC-PwxPLzuTYe8jJHesn}-`}a+!%bZY-haEo5qMz;J{9~GC
z1UkZsk+3itdI1dp1aV3;L#xUk!BJ~G+VVf=h-UN7NpTm}KHFg;;pgWErx6<JMQMsW
zmjihxTwQO=I9*Sds~JWqGbfde`SRAU-3J8)IW0_w6(Oh2mHThEx2a#<ulIz=L1XOq
zO?<KL<-_KW6Du;zT7NrsurO)y&PT=oTmmWs{zI)v0}vR86H`8v(ROiWsZL~99e(3f
zub#fr<xCe<H+`EjD>oA+rJ*I+I6>Ys8!uwTP+?Tmc>fbgNz-{_xNp6BgHhY*q$JY>
z6NENr+7!bd2@17jzi$P%uK@+kwy=0ed+JysfBC+~_o92DMSoR)bXa8&T<KKq7g7_{
zZgaz@sK!}yO#j&;Si)UW1kr1&p8^FSNWGZewq{r!g^=Je7i(0eH(XM3^*xVBmf27b
zo<DaET`DU0XM7S0IYe=^CnWG7fq_{GlLmqo@@L=T#SBQyfQ@2Um_DXKTCPyyFc%Y+
zgcr`MMxg$?j9|`(HyhpBY{A-&i6&Yzer~g%Hn%u?ZNfA>y9D74_S9EJgca=0&d#yF
z&Fhh#c2r+Ael09}!@QvfleQWWHLEeR=MVs&)#K-wjX7NGqE8fH`FHMME|zRGTVjZ(
z%jz%dgO;iMD~EMRr;ahr>p8ND(|YKQ4;r<5>^zI<w+?NZGFl_YSITMWNuNI#=hxkr
zoBJjK{$J;hJIq^5#{g_z$?J-Az4#K`BJ3C(Z40dPSfX$`LDF_tQkb8uSixIw3EGw=
zxB><T3!9U&1T&S>CH1h{%Nbw~4mKSxqU38TK6L2o#zxl`3$-Ky_l>VFQ&&;kc~yCq
zgNLj>#yjl2Dzg36`N&MG+gA5{j<i*;QBZv`<Hj_Hi1m-&CXfq;hF}V`XU`VKc(#k<
z%?YlsFN(9qx&>YkjAmagwww$y2w}>>H)hMf&|)U%{+$-<u0zix({%@JUsLGCuXDwE
z{w_oF1WGJ;!3pQl%uLzh?D33@jOsH~fTE(Jlfhq*>f~4zPfOrv=)JP-TB*M0n>4Bg
z@CNzd1}aXfv%5v(o8G-U$2;MskN2FpdfbCE5f^3_2z({IFYIZF@u$Y3!v)U|HIBF6
z$29l@u2QP&Qd!3nf<cAa)tq6hqzVt0_YVjROd2v%J$`{wPTZa;8Rk`+R`tGvBCBJ%
z9;>|UHy`<SGS_f_r5Zi%p8BNPTcPsSlpa$R=u1;p{2|$0@cSn6nqHWZ(gl6z)84MZ
zyW;20_jONldvjhvBe7p|M{#JLK&UG2gCm7XDguxDP&eDf@%Sw6{s{s9)fH=?2aSvl
z2nRpr=#pCYIG{Axx>aPCJOTK>M7s5wz9(sffF;T)D)!g<^!anTTTS(yxdm?@7*t0|
z-s3~y*e@zW-LTsG{asm`rz%tIz7z~yrI<A|Bir}3OXUFM3=6|0eg4zbd|RNMM#9|k
z(up?*d_Hos;j)F;NZ5IAw<j#vX0Dz{`3CkGGLQtaWeJus+&ll-B3Xm0ItyDyQAnMd
zoPt^=r?uLc$F}X7=U+u%JTir;_*Sn;aub4oi|Y_1r5s2*bzEHQdzTBG3c5w+d#NS_
z6%8<AuWjeG0-#oDq-6Y`j(1|)%DID0_%cc9;?y}(={LtgL;7jybn5yoYhS<mi=MW<
zGHeAR5AIGYpt#uROVQN>HNv@3s3n51mMb3@i@HY5{t}^i6Dya0A7T5wHl?c3)~+(c
zobh+TM!VPToxvI(!8q24KfEoQ{xV#%?!m~5P3F@lfBEu7Z+REJpztxUBDf-Pty|u|
z=Wp&!>zTGCnfXRQkDRX25%-kdkzOr)U-S5fzVn%n0^m-Tx!2>OJ2s}7YWZf}S~}EI
zDMl0=!Xm#(&H0K=3;Lun<GBp)K$Aqg8c@#ysC5XTg!pK&a(eO2g)k1@ZgPq7K=WDw
z2+;;_neYk{kdlC*qkTa^qg*Kz7wGA&_w<z3a5;1~T|HmGS-bTd^thoRv828lQzEhz
zfwm&a;j?sh-j`G(aJT<p1Y^Vv3a+hQcl%@L%v*>2rnq>00S;3NYYuz{`4PKBw&CYI
z`=HHZ9PNTEJq)DRyX>#o^t|VtV(q%DS1!=5^&Xmzp1td9vYt48>wGsd^5W9M=<|;{
z3oRh#>SceijBPlY+{<m3dgtpYq+Yn~t(SDvX<+h^>>|0P!%MH~iBeQ5{>Kpd&Afjb
zLVtbse?Npi&Wc9b_-kO3(H&5oNk`U`9=D7C@2AjTdJkXzYU0JCx2JSfkP>*Qf|{Ck
zfjnV|gALCJxqX2nFty^1upNo|j$~o^zF)1!YYzV&rl8s$_Wt%TGSr2-8az))QBk0q
z(CbF8xO4x=++(46eQ!t{>pyrEbL<*fzPH^fWlIe&o_!;y@FwAZF{J)xNdH1Nqg|&H
zj(o|O^4w#XYIpk*iqmXn133g`r5NO%3#b|YUa@QRtL^b~kIbF<JZifUpBM<z)JwRd
z;CQccUQWjR)owO{J}9@(ob_wpY<}<RIq+nknZ||*zs4H3TJ)S5<-;aB#BCru9n|F@
zUmY{=J?E4i8w^=)yJev<mdOqd!WK8WeT!C!Du4+8ehOO#si@lf{+XYzd-Z{#iAgCA
z`>>e8RuR^_sg~DFxOh}QHEZp`#H~+RKaO3%fuJB&6%`73^0(lp#mNM6V%HG^<B^8P
z$C_81!HEg<Hz&|&@|=}_eRnC+t7~Y$>*5_A;HQ^goI&WioL$7^bGyovD;rlH9Jvis
zhN}ZI_kMP*^p|Q_q7~q6e4ubj{!SlVR_9_n4h+qs@a%H8xNQhPm1lSHUE!r)ot<9f
zy7pGk+#9<s)se&?AFRv7B%2W|O`icS@ju%hqD!XOE>^jVGO?GENTX=xEEHrgbPcX9
zG-ym)S1A?8JXyDl^+|TUQ&J1&O0MgD(dcrFLdM)5MHBzfNbNZN-l<diqWqM5q;-Tv
zYQ8)x1Ywm98Ew}kTAKbI4I3`(=UB8T3M;hl&$3{QOge3fU+Et<<(0&sBc-o#R%65&
z5E*$6=Mbf%uq&|o>$o{~8Yah1tr;3CzoN(gtNCxwnN1cIXIQ^wpcd-emU?8o1v6#n
zgeWF?JFG7|Zjv$J$o8<%yxBhvuK$?OIS(su#$>o^$+nfTg|B6oXoTNE$$7g6oxyDi
zeF9$$PRLwCSQ}ej6F6w1R@CjCvg%FY73bY1<!9Zot$*zDzZe?7SoeFMKI7R7_oH-;
z?HUc?O7(L))j{59_`a*nSC_iaihOf+<l$l0=DXfrJWPjh;qFdFssI51cZ<|mLPCP}
zjv=B9T2s6(3>IcE?>Syc$@FAd%K%+LRn4cAXK7%0q2BTM-Me<~WHkM-RxiQF>+s>&
z!7Qj-!`R$B37w`R0*q~JjGfuCWrx3tCWJxJ?1|=aQznH0w=*;L{^rc@i$&K`$&wTs
zBy<*qPfD9`THta|XX-uN(>UTABvHCIt$<blIAz$OIZnoQ*0S^0_{DY`te`yqSmxd-
zicXaSP75>PtIWSSJI2-*wKeveV&K#kZh0>=X_!`_O;wou_a*bIR!6^57E#(Cr=_Rh
zrsIf(l=Y<DuSR6fA_bUzt46^rY!`T20Y*F9ZuW=uTaS1)7`7iByeq9Wz3$D9&jIhy
z5SuHG7_kBeK5l~GVUCl=hs*7@Z)bFg$-2MeZSv7=mqZ86n!DIUEg;8v*5bRiJNxO~
zm2>E4TiV|s=I_WuUxw;MUOO>=y;_{(pJR5K-yNDA&{b^%MpgZ$o6GGOxpG^lx^F3O
z?W;Ep8Wg7z&|VX7^VT`pv+;^t`6&zMdZTRxr;4Mn1F7Yem38eobh4qh^q@iKI6NGB
zR$4nRzooalST3Ibh2vXn@qyL`j^cK4Li))!o2Pobd|Y3@iLQ$zmcL5Hv@ZS9=7I4G
zDY7W$y>J|YA}}^KX7XIw)$MNdWq6R|i`RvlcxpB-KQZb1<<p~zQuA6!3zTQvA_&1v
z_zWsV><+0k2~ED3P`%2(Z|1SA<-@IBdb(mwwgJ`<%Q7UmL#SnoZ&|cFDY~K^nwIb5
zbSc&KK<3?sL4I+vpO?@7tG6`nPDdgmPaDb|*Gl#7Wa%sQQhw~#)1xkSCISb)sb`rI
zn^~v%xWOs7xVoMk@?rTXXXjU_vj!g;sdz0pJ+$&z_V$I5JEXsB4IE!mw@r7D07|Y9
z4b%UKbk5wu0xPxAva(Y5b)W#%Ru(YgcC_31Wy=0K1_q`Es|O7lBo{bRuxkJN&YTmL
zAv<<EI)3IlP!nhckiVA<92JxY$9LRBp5a;ML=giSM8prM%bx5RDCoJev&FT(EpmpJ
zlfhVcUhrS+t~3z*56o;^t{v*0{bpK`?AV|@S^Y!IpQPIFP0J0t-gNJRf#=t@hz5gs
zgS@6Der-wEpIbfvX)J<FAS)s5d%amEeBMcE@|XNWO`0O5-nm3HD47H$+$sIk?x|Da
zg>771e7xRvyOz!#EH7rFfxb?xM-TO}Temc9>H2)#`H5xkNTj-Z#Un?mgq_-3=GSX#
z#`|qc|B#LdQ<FBiAu1qTT^K26c8ewQGP1ID3{&jOy>v2^DPk6pO`bY+{`~nT$3K%@
zEFUZ|9#CzN0I|u3mo8np7kvmEH=X4ddLTiC^)SvT;SmaF=qvb%H(?mr3&weZ#2x)V
z-YZRThh}1O^757$E@&*^XJ~Hj7MDiP-ln`fSJB^a`If{1hu%Il*S5Bf#L1AI9CfFG
z=rO_*lY!Gptav~T0h$05r^)DDaa17yMDf5Uo<rX{zT0Ny6=}boSrB2?fWr^H?(k55
zba-aMp5=ZLxp@KMYyQf;I77X-wc-lq@bnz80ssfalCO|MnZzA@>9e3EE56&bO4-dl
zlCJsp*}K2}mHXPYj-)>ZEYb8vhJ`(ZJZqUc(q9y72HI&b{@CB6%eqU=47}KxgjRXc
z@8ac~;TnTW_q1BOoSm6_>XGhSqZisy%VgwcMGPDzKz}`PB(`yNh45=6Hx70`*F4D;
z#7({Zu!Po$xD>Q@hVt!Ru5T!m^j@{&gi(jc!YHcs9fy%mEQnBOcuz*$GTMcUEP&)9
z(f7#21)+BOcOTjTq)D($n_t|K##Iv0&b1r!D%)Q}Obk>sXI}SDz@vtUZToL~t#zsa
z5)wQ&F{7bV3keQhFoZ@0Z~%>Kyovk}HHW+8Thq-B4h|eKhCc)nUnj^%w-N(OT1-}u
z*}A#SWZjUo&!pFvPa7AdPSHO!VYX}#v$y7&``b<HHOjuda!Z^v`0tR)qi>TJ1@=6b
zu}}69@Y7d%fa~p6GPCB^=q0|LUe@|hqjBkpiS~&{c<%e`${rwk;Ngxbel*$WUIr-u
zyJ<VkT@`}eW_0w3F1=qPwM4p`*ECznq2}_7*t1P-!)ljq_ANfATz9K`!;dg<4uu*1
z)%c}S$^6#6`^i4@b@la`jn@yJZxA&jhkAgUUc7E;@OQ-}1Er+02&r5p4w<m0sNxf|
z39LY7fk-WBo031}%o!?;aY{<QpWYqqe;4}#IQcFM?O|0ZRRE#D9R#oyG7h|fUGHPR
zrN3=#oDRJW@F{io>;QFZxg1N?$4_4d&+@zspumH_KS{rbf&!Yr7(y)nyb5`+awyxE
z`%6kL@T<fr3_HN3zVE`19TSW(d5`XJ{TC5k^GvYP5~dg4J^n-d%H_*8fC^cCK9_!2
zu_Rt2%D!ZVYL+w9KUg4=4*lZr_x4A(2(ttY6<-zv>wl6xR=eTlmsiJ*TrT=(d~N7O
zW8nipC^k>r#vN|koz-obQI|If)<qeY-Huk&G#Y$=H|Sm6DdzIup@muG=$P=y&;Eg7
zqokIOPubY58g+_Jjl&D&1^-N*thYgF2{Ras5tLT6<xMz${jKN1rQuu3Vw3i~zcZ%Q
zZ10A&Gd5kdQjZDqm@5tfU{ICWuU-w$rtN!W_I9nsRYQ*zZ*ZI*#k0%6`akOi$Czy9
zj`oAHA@O@mP~Iv5&h62ItLL|F-8!~>VrhUmKU3FTI(KHnH1MzegY)D8!MlflGy}yq
ze-R>#U;^y&?dw;H3|0Qr*}0^>d(Mp>u>-p(@3H>fWZ*K#V|#2Y{derha4f0g!3$0i
zJRsgGmje|tB716Z{A$DtKZHd^)d0mnWBTw4c#5=am6esuEu#HqkNoocUYZ3B!(KO(
z)-}0Q*v}i!=$<g=YM?Um!D#!VSq9WGlAf=>9oLQX4N7>kVbHr*$F_I875$6GFy*{(
z2`zw+6EzlHloL9&n$*}=reqp6zWrFYabvUZdb5EfvY@=<i8*za(O|ZLQtAit(;I3X
zZSTa~|9<b35q4Uft?xj7OENF460C_y<L_HrC&d}Jm&^M7(gK)=Y&%x9BQt00*NwG1
zoeO*H%bK3`rE2TS_KdO_4<^W1RDIs^b2KLU7!W;Pi3>$1vcakSb5#4ip68gd-?;Hy
z+JWN(Kw`Nm4RbCow#NVj5gGSLx9Os@{HB;g*$tZypH01TBR6ZF_ki~I$vRPXxu-NN
z^bU3TxjduAkPXbR^C5~BPcf}sy%k{!W*Wf<4rsNUuTJqwvHH3=`P)^o<q9*)K3!I7
zu~Hth{pjAJd0x6TDw(QfFDkC}|4Ck+h~gd!-st2jgi*rK5v4l#9fUB|DyT`%-o5Xy
zequb$(=z?N_1FEG;xR9)kKJys3zpB1&~SWkE+Im^O6f>NYCz3I5@x9t5@XubvSC!q
zs;G!7@^0$1y!L32RaWs>l`y|H!ACnP%Rj2`qk+B_OP6+tx7xplEc`9qp!#lt?TfmQ
zJ5Md<cM^V2&m}fCPYCnrHy>0~%uw=MQJz|o5OMC--Tkq{g5%%x^=;_4WuE(Tk!f?y
z{eMn#E{c*GD5L$&_}NJR6WjjzQ;`(|`U|P0<I8S#$2S-L`~UermNAwO4!QH|M>#!y
z@?^20A+=>#M1*twvS@{Q|B%49|Lpt^39Kmh|C>MdGy!VVmnEzS6X>z)JN2}&t^ax8
zR}A<`c@b5ZH70@(u4>nv&&>1!(qP@m{N01@rP$2Td-2I6|JE&5t+D`ug*e>okcHh(
zl>B-MrIS$VqN*VHo5}TWsHCps>!*7OvP+=)+YytBh#p3pX2ep}abU;#)0K7Y>M(1n
z*xeuRxkVQZ9nqDRUisSt?96B&*@1d~nYD?D2XF-=D99#=`hqY?NvRRJN{GQA%QTmV
z>xiCO0if*WngcJ1|2jDhdui`zj9<TIJ0+V{QJhUj*;tr@1{Z`OdHKa$665{#{=+E6
zG)bU(_MHapnJWNKd^PN4U0g!jBSH-Im#GC?r?CJ=n$X7V2!Zx=)o-1qE&b;SNT6+D
zUj=);&Yy>yy?^e;3NAeIpv20hhKBEOIll1jN)Kev?4tvgBy2+ndE(z;=Z?<5<NY9w
z5!X6A({F}~N^yC4IUx_#B}0w0K&6qpt*acD7#U%KnuzAv&CPA<)TzwTGHnJaCXAyn
ziFKoS%ZKL+!t^x&$Lnw6g*_)O4nc-&(S&j17C3!H1+v7Ik>!y35u-+3O)2?JUnkB)
zUg^lsc~bqyOdD68UA;^EDLBMZ+;t`z@SD&{p2rSty|A2yk>bW@&yM9zl$Et(AAwc?
zh!e0Zfyl(N-B31&oq26c?x-#BvJ~oOCSR!DOy8tuWZYNGXsG@IR+N7G`XhiM4okSk
zRp<o@ADL@{C6QnwCJZYMal5eCc0NrhSw6jCzJ&EEz4!0lp*wts{Y_zEx`*;z$@M>P
zUuk#U*bn$Q6u;tK*@jneRIv{<N=Qph#ZSism?}Hlhpx-T#f2IYD1v1!9t<u~;S}0}
zTAgQX==?IlAP2jSkdP48i@$)L(v4k*xCG>cqdU>YE1WXscm;dYt+3W8!EX<*VW=fY
zt;U**GpA3lI#kVS;dL<RbeSM#iv^>Br+7{#grCjKoHTz&IMS94^s4e+V8z06IQGM?
z_wYDaP`l%Z><V4oAIE>%H<M9Ls1pMnUr-LC!4%g*v=<i_XI7DoSw%u9yBDyZ##kru
zQ7J!(-Zt^=H~b}Ht*{`R#4|q-`jiXHLcr65-Ld6-=2HWGmG%uz@7@>%TNQnlw?D;W
zB3o(*s_re!R`tKQ_Sw9ag$5h<E8VK9vJ%Ct-?3ghx_jN$A6lpreb7lBA4uZ6k(SEu
zL{pT%>MXA>F)>V@ARw*guuuFcGkP08Jpa4y2~U~?$uQ~Rwi^(O%PQ7AzSOB?!;-(9
z?my!NDV&rSTOJ(esNwoH>+YmERpWy52@C>KCOVN->yGpKFKCRCjn?`Z?W1S#()U@L
zWPV(M$S+v0j42^gNtP4I1g;)7VZ|)ZU_-}YFF<s_$L6hnOEkcD$kOpxQj*YpY!}B;
z5qLrN_33_&hm*yh!cwSri@4xr^)mRVHHLP>S@h^Xh<SS+PeR3-{UyJd{FAKP71Y&R
zsHU_6(3(>GX6Fxbl=@BZV+c>15t&6bY_{p3N$_b_8YnB91>XvMd-?z}%&hb0Q7^Hc
z>LN-j%wmOkFy#l&b6#mB_w;NP7G*_DS|oapVHuEp2+1<#U5Eem_cbgNk99gG>*v?b
zQ9Zfk5#$LSfx`7wIRB4l2L}|eZsYU;0|q#)X@2+agvtZ<R(T(tk+<!AmE*^=%qt)i
z<b@$QrntO~ttnkMwIk-CZV%7KdZ*<1lyA2l+<;Mnl8OrCjpo#;Zy%j6DJ(SbO`f|@
z!q7(ShjYZ%wrC8yi+hx*cm*>Oy*Vyi-rkljw>ak}WJ+ORgRPtMs?A>EbRzJ6XNX6R
zJ8C(OT&N}{Itfu_EIN-#yb+$@RbqEy7xxE0UNqm!2@w?1bc*4fvNG+il>9dOpJ3gE
zUwdAl)bBD#ql-&QdO2&W&v_4c9IPJ3=<WU~5eeBuI%&omVRPYxA`r2w-P}%x{zDDH
z54YVPq(0)R6pcPpK5u|Lv;qW&2&81;69-H)m}U6uSPx&N@{oHTTaNf;(y6{>ZGW(D
zSi`_F<kg+4S8e(GJV603U$m%?uppOqU0^Q<cu!ieL%od~M;ui0-&h;Ggmbif_3rD7
zB#I{glf|x~p&6TFp6&!m64FTtNc+0rjBtiXj9}MT*8bj`uiw4_)!I2bEBH@_%G#fE
zGHx)4gk7Pb0OtErTx$i;c;RJ7<7qnBtf0033ICtf$E@jnDLn@akoAY_8#>+F!}DZc
zCmUN^31KJCIW8rF7w5MAO6B;RpJeJ*Jm$iMN4Kg?gDg4gmrf0K!n96h?NjYoqxy!1
zEZdvCp-~$~I)9Gr9Q@DonaM~|&AGL<GD3^UzO-~Y68ZV{tRpzA>6w^6V8)l%s*aal
z)5-(kpWHo#P>P|w(*b{j$|{<1f!T+xaePzJVNUvocnleI-pA^*tM%%y1Alqs<sa&K
z(!|_+(6C|OA7Ac5r-&FFZ|jVTXTk?*SS9;4?nh7*QB+n}_oVQE2n^lQ{P83GArlsx
z(4J#y#bJl>a{vBylVdX45-LyPYhv{kv^sFB$Jd@C-uB}3mn8-V1{x5?*bo53!0{41
z>-O(IstJzvPbOpFv+xv?_BjssM#^Y2wSfd^f0gMA@@AB#rxUE8V6%WGo}y&x)NCf1
z@h}8ePT~RIzYiRgS{&ndqxm}rgqgR86%_)rPNlHH-JPwpwI8TY4*gGZ9vMrmuoW`X
z?#^KgtK|@%lnAmHZw+|<Kh~l{^v3>tD#lKT!hjoSNpr|y+qL!w1xYYaGq~>gb6RYc
zAN<K(GObX@6oF5`d}{6U=ad%Krb%Y;mKAq4%D!eHsIKUHlIM>OJ*U|E{IXoWS4%_c
z<s1y~+*yw!wp}YRQ4jiZ!^hVaLG~vWs9zR5GRcHXtsd~7IA<v3oUZi|JMquaaibL%
z-akwj#>q<Tj-iL7IiaIJP*6+dL+_4|d>B(^%aoH(Z>K)v5+>7s@Lg#~=kr%^EBx!P
z`P}g@&Gk)el|(F5<o|m_Vm3!Rn`;Edg;V}{Ix_%zMlU!FmFdot*tbD}0c#b0ycO9f
zivw3(-zf=pmgUpB29@w0dnfZ9vWvM)`zCb#X=k!EUc}gaTHt@Z@lc61a;*O)D-~%G
z??A*l-qL?-+wxy;i8MlfSlL9HA)cBE7uzsDOur7itg*3*m&SfD1Yyp5%hSADobZAv
zY^15SxVR-pd?lqQ)3bLYP3aT3YVD|d(e}W}vvD5q5=jX5^F(o~1VQp~Q-Wa8fNsZh
zCb~vp<pOgxw{c2VQeuR&rK#x^Ws8nZKzh2T=U9c%0_Z38F8<<zeAu@wO@Mx|(lBd!
z&|u<q)am%Qr-MSa_Q&4v64j=|6z!W6a!NO98pT7`Gq4e>FI(bbLxqayI2Efh&YbC@
zQ`Sos+>|KqXE@c%ST7Rv-bAiH8x+YeDk`qej2U_RO70g1AGsnAQ|&7sKCIuUE)snw
z=7*csytVG`?w+2KT5KRD<g&LA`PnN_&ZQ|UW>agZJwwMKJ#=WIOMZT0gImHdb_sj$
z=NSwhY+-c>tLH%B%T%tvku%r?z%Br;AhaZZ5vBxf7n2#f-I>qmA;VHkSC{WmGy63*
zHpa4ASdw9N@ad&o1@SBN=VfI=Jp$&2z2I#?TGli^d-ZDRYBNM8{Aqnvc4pm2g1_me
zfNNWO#BNs}D0qW6Ob^%SR8suj1F7IQJc!<sPpQxZ1zG7W2DKRyU>DW2O=nGfH6F{?
z-+Jm*G9fG8^}s=@*fWR)iLZ|zKgNVOC4aB0$m4`LKT5OR#bBsq6K>GsQNat2MwBUR
zgkf7?Y+XtTC4J6~OBAklt5*{REiEjlibx9rfMz;Ru*$@lLR_o)^+Q#9NkX*IYzs{%
zUY;QF89%<A0$D+NGNzX@*Vqntmp)B?>33v_o_H+DTtnq)jV&b>J)$y@Ji>lQQYBpo
zUI!k`Xojo5WSoI0qcCHJb*c!c<`X7h$3^EaY{@aKs9(1hkELkq;cBj(<6@uHt2vcA
zV24gE&uXCMKEyomaMK>V0Dd2+!p4&LBBqj>o$hbFa{Bt)I2(^em7fmc7>b_IV)0^O
zUWge)lPN2uw<ge^>eO_H$nMdnPo{@v%h0YJirWc;VRwMKXX2trsf-_o8LOPIq2BG%
zgkwR6B`Fh?gsagrX5{8~_Sn4nf=PQgHe0c0P7~mO%9xdA5~SPigh#;fCccp>tMjq5
zJW;U*XJK>*$PPKaHEgNm_lN&HQMv`)D!->YMG<q^=a-$%)swnE9Th7c`@Y7-p`Vra
z%zf#pNpUz6g&DF!mQQBjj#f4WwK0gKm2&8!2#vz6c1kCD*Ew$1g|iTh+k$m#(ce<e
z-Hx2N+noVjQZ~3aixQ}`>8%ZwLx}}mxXNSYNEroAn&z=*QS9#BJ?p0qhU^y10X#G(
zj2R%)fj~$IyP}#$PMTDHD~=6}o4<ZqD|3y)j5ckw|71FH$obe5jv2UIhb@1?l#)NS
zWrJ|vyHC}c{2NxsAQ+12r>uR=_7~K$#{H=HQ)+h7Lqb|POEUOyOgfO|8Y&SPsHm!b
z`}VEu=JW8sg(on`U6aBjxS$pWF!ApUFu(J7KgnE!KRw>3TV%*dlkQDwGh+GSr!7+F
zC75t4_BX7zGGm)8PmNpXM}p@n1C5+xi;vdPTLlGrY=GpCgbj?$SHjmZjc=~`Fn-az
zc{i931o&u$%K)c1H0bB?nCRHgT*m*sst6u+r?^i<V4+RK#|*>Jc#GSTf(q|>ZSC*4
zCixA1O&?=az`UxH=R`^clJ`I@hXK*s#W^Edu2Rl_Hy=wYcmx%qcx7t|(s03!sY86`
z_x-c|rcFo$3nay^bEJWYZQWA`Eaq2~9TRKxnQ0*`Z*HwRD|nT?Iow~3)ig{5J)^KY
zQ2iuA%~6FxRPI=F``4)UCX^S*&#l9^o#3<a3+)aFNb$&>C4J=wO1WYsL8-5n`O>9J
zGL@s=9REBC@zDt1O*2Q2X8!CW$39s0l)iz1q!!D~1vjT#!xYHpXT`5nS7UP$Ro?GD
ztQSTBX=!S)Mi!25ERpt7)xi&9ho2^lSsyi&Bg@!v1BMP&T)oB&`f`BHgL<@{KBy`=
z02aBMH^GPV))`|5LvdM^nx4#QcGu;0*KBSw(9-%dFtCshzpSd~>k~cL8-;sFhuVq<
zD@-SHY}BuUVzFQY1D`g|p=D9u6WKp7pRJCh1zrnHo_=`hQvjY*>tyeOXR`yTuu+(P
ziJ7~rG!q=;mC%WZI)3O?Ki9?OR9aO{&2q_cy)HF>_&`7KzI9n_2n=j`<|90aWwh~<
zS-bWOrmnF$yis~siXEd)ZIFP_sN7etb?b_Y<K7I^4K<$d_~{|}P9-XzJOl+RA#62q
z#m-Jl2GL~~AdY7dWs8sGMC_1`jm)?_jzvr;qsei?I4Vk;dy^)WV2P7MIHKOfQ6V&R
z3CA<N-Ft>J6Y#MO>&e(OI#yMRMa*nM>U>9uy@j_^VIY2@<j|iTu+i=V`}PSwnH*Yb
zwnZ$zBJ%S65RfvqpQuuO|Ni}0dBBVl{m1q4!w=Xv@VGGFrPj})BKE_l_qH}W2hUWi
ze{fd*F*zjM2mJsw1us_C*VF3e=SdzH4P~cvZ5p$}vRl+bDsVybUf;s`;f6RJu=6yr
ze;Y@Wv)^&ZruzP3a|x9;H>Hw^dDQjPD==7~6}`p8q$aGmgxGm}Xu+I0bI?PLIZ~yn
zJaOV;?*h;D>vy3HT^o3r0*0+7CYhPh(T@qQ8yVBZo(ARxl&~ACXlaCaVTCIky$6Kp
zXV5vxT!U?7#>>~&m$c1G<kS%u7BuF)EIYCRfjL`A;jb~j%V5L&kD8}ExrQ8me7jSx
zH{TeLR|#`rOt^S217kb%4d7Z@@>5e%1lwi?W>)|y@#A6M!1yOP79WSMhC?&)I%r*<
zLD!8(H>Z2T1Yx?4283-&2zJ`wL*R3k)XL1OX2<h+bOn?ocsD@#3qxXXIY62Nv>4eh
zSf$d^r@z9)C#owZ{J^=lE*?5`=<$gcSv+>$uRT{>;FY1ygY9Arf5#4yMcsjgiFMv)
zz5GIYN~yi1%mVi0MT2vNYVdJ%e;?!}Z+iF4YSUT4$7GKjK8!w1fG`QO*a^^7JmEtc
zE0vi`OOH1R?3p_`PWMvU?(^k|F{yPMmo`n;I*_$_k`TPZGp$;W=|hejr9u8Qsb=#i
z!RatMS7}f^6(w>030#Vr7k)?`rfWy%Pz2Tj%(4c_u;6^zII`eAYyAifgSL#nE;AX=
z{XdnvkA2o&eaMRdladN%ud8z^Z{Cd0vgJIe+urC|mKq)rkqtNjs)_T%MeMz00d{Cj
z*e5etNy#96?oq@30|(L>Kcg{bUg!QPyYLjRD&i&<XQnw~rwru?7kojUrV2gti-q@I
zRZ!rO6+=Tp65S|&X<G%)!3>v&oN^w|$uSFj-D=^^fbKA|pHUWq0FEyza&*zIp;xuM
zW=s4`6}ntW(=mzc0ipR~=nsDeKgKXvGdJPfL#k;CM;My!kiu?$oZg>(xb(~|%S_LF
zc=t|RKr+lsOb%@j+fI8}U;Kf5>@SW)qbzW2uU@^TGdl^?2JnG{D;kDGg}V`lg+zI%
z-s5LBoIHkRoi)E=GKxmqtkWFs)wF;2QtF~LhBL)HAoDj*fw#EAPGd7Q=dwoOzHi{}
z-D+_Olmd*fj0@JKa|Rmi+PynElNZmQU%PRGadInmfU#-;kpJX5xmU<9Xa;Esgdofu
zG)6YKP!FB#K8qY2p`j!vCs=F9zFufd?`+~LSa7mK{`dk*w2p`f)BM`M<78;-{kAx^
zKw$KSP1gkQkh#VrGaG|ropf6kI|uTLni$Vk2-cO+HZ;6T1Y_JF&QK17UuyX9cA9>@
z?A;eKC~T<Q0q*+r=<(|A(QPCkN^ay6fPlyf+QE*o53A){m-(96TuR!#bLWA?BAQrX
zscdON2|z8gDMEbYx26v^^_s2!rRSh+KhT^*yBXnUUKG=EwnspJ`|<fpAFDW10}8;+
zg{%Yf`LBt~B>!C-rDV9A#z!mQr#gx=Teh7+*B&y$Xi(K>UB6h|@t;s^Ad}JP;o6ZK
z<4QJJo;H%cU2^E)siY(&qix@@|G$VmdDSx{SwS3qLYkwx$@+csR#UADcm@*z8&L%y
z3i>#%GmPWjxw{6S&{vx|vxa>cYHA+zBMm{%mJD2mFSyT2r18OVpEs~|wK5~gdTi_)
z074!E$QJW9e8c_KmSa$zeCM8$9-Bxh0#=&8R6<(1is!`ToXG|k+)Ya2+l$)27P0k@
ztC9=L4P6tFGPUqIK7BaUFa!_6DerstEZ`bUf>cR%PL3}XwaL|!;Qp&F-OMC$GRYPR
z6_A;^9P<`r6>Zf-Yn&+`-oJ0wG|M+R>DVz_PJ8V5vA@fFXR5WGvDCp}2D4{hrY#i4
zZRDFuGqZUTc>J0QejM(s&@Ed`P~L?~m#q$K-t;b+(PdtuMAQJmFLPFoOi&)FSeh%+
z;h3g<Rcf4~BEztU#jpIUNUM+qV^8ryi9MQM{QQ7ye|YX*?@Eh55OmP2Z5JoaCo9jB
z4I*voB$(9I)^_dI&D+N(LSvCqM`5QQ-;}m2R`XE&{&5S`Us9QXqzf}3TZ8+xF!iq4
zrNMyo$il-tQ$FnHf>Eh$q41-$z<s53OfG#G?F99N023D#?Zw3wEkNw&_a}SaS2)8E
zME&-VwQ*VII8wj|u2y+SsavM^#{u90-L8c~k)2<^?C{~kczKvypP$F%kFx6&_s3fu
zvrmp5HEND`UmD=r3GKQiY7rS;(ll#JjGP6pCllY0-+ueep||pYw&hC+iG>ZR&)EqO
zMg!X6)n>XULnE3UqF-vX5W8h?XLRT1U~o!gOFlc$=4iH|^beGE#Y%zb?$%RWFq<#^
z)T>pVEN~(whE92krlz-*DS10sH&#v8Qq;!vY^UD-zqA0ZKU~N-gt;`!^1>P#;Ej7;
z=T)(T#vQ^yRFFIK${o4^qw#q3Mek9T)t@@4O7n!{EA)6m{<z77H#ZNwIr6rL=Ar`A
z#BH0Tq7ImB+d{-WE|r$18z1(SUNSLVt|grwTDOap!L94pS3kb=2MWtP?xg8@<s|~e
zLvtgx{V5{?*aI2p=@sPV4Q8-G$OL<beS@rY?8Dpm^Uu!pb3L8=2(EyMBLgji$^R}D
zX$wRrV!z)IQW_-No<qDNB&)R&=q%Ukc1O!rZ+npxLf<PPurFnW^7cKGuR%n_AUe)^
zOz=FSvU;cW%?3|b=hFB^==|XAqx`-*ZuVl<D5P3k$V*ea@D^ii<K)?ayB>8_`dRSl
zj~_YmDO?Nje#VB^hd!Ql2|hk^GAzvU+Scu{;}ppNs4uzrV+*|}l4#l6F;vsTfrSKg
z%!6laJ}0aZ^!+T*Hq(7Ha4kf4HF~sm&8i)}rM;nX1rZ6hMnWhQwomYldUUk;Q8T2a
zrF~o9SpA0ttmY7ODl07RW_krpsJVVdRQ1T6l6AoiD<W^iuX1%2T-<xeKo=kHw70C+
z8MR`<PHehSuV@o_d~hUG1Mdk&?M?|-rEVS&7JkrW5x|7Pp;`nf3^5U?C5*>NrLl!G
zZ2712ax7rd6s>`P&@@@C-c1T?9toR5LMpCq7?2*M8%A%z#Y*gV{(Y5cF~OKw4bnA{
zhZR5qH&`HlR`#vcK+F&*M8vheHoEzhd>_AGHs^FwK5t+!za$_8KNXzQ)H29WbS+7d
z`#0pF70bKS`WnQRjW9t9#1~Ia!8P-i)!m=MghSSZCIt1M6KwK>y)V0%dic;G^D2j9
zL{v8Us0!=*O2(_HrDc7j45o8F{9|+x?n-yaOu7cFTsZWI{$Z~qG&F?wL-tF2o9YFN
zk&?axWTh52QxIT5?T7mZzbhRZ&{Xm88`ag-Jh6MNyBgIK-)q&Eg?Ab_Kl!)B9veJ7
zmgRV-=i1awmR4mi#oxOsvLbfen+^tNRM=gqESjqt;w5qwTAn$=@i)@k!EA&C9;c;2
zQ~dz`O?)NyuA%E{iU%NGLA68xOYH37c{$5ivi|tG$p1{5ooLv`**mqyX+^O7{CquQ
z8OL?*?)$7y6veE7y2?Q$K2lyD5x!sv1l`lr-29q219OP+n?lZKfhp8!cMy~5c}U7S
z*;(N;0F*l3%7rnhSq(Gl@14v>RzRE_yaJbtSc|P0|MDK@YHMGE@WRrOtvNBdDTlOZ
zR{NU{8|fM<d*6YdM_-WW{0M@M+8R)lf;2i&L@6lm#vbV*0|sPppFs^MqPQhAY#1?g
z`|UUSN}*9sS%2p2S#JSD>oaUKF@?WKnZRLTGg{l{&senD^QU#@;ivvb*_XOXNsh)7
z)8hBn)JGK_j2Dos(c?hRF=;nO-pHQb62n6o-2|g!Fx^o@9un>mg|9rYx#xPa2R+r|
zvg1v~gPIUw0Jj0aIrO=|zjRNB`@Ly5h{9!U&u5`iJ!Y{rWZm7x!K)2&s%-<`E-ay5
zW*sz|s%efpPW<2riM~e!CsP&zrNL^#s5G@$k1E^ddTH#Uw(nnBXn=HUmas!lu$u>X
zr8cX3{aVr2){zppSaDLB!K0%~yb>3s0GyuOh38H2BZvLj(SgE#6~0=k*cNEFS=y1#
zwC;{710o~>SF74;3b`IKJXwGvg+`;mDL6r%m}owqTU$IbNGkwaR;g#P#mB{0awLN9
z=!l+yWXSOjjeE~tlk3+_2MZ%7x}5-IZ+OM;;=u!e2?qMU1A2piqmdi(@C%nAwu|5A
z+JU~QMg|viSLOAS?lbXq1>+-*D|>Ol=qDV9wFnME4^P=tEqK<tU0m?7@EkkR_exdt
z>@F>VcD~(uUK&Z#>iAWbLnFQqJW;2a(%;c^7M`~)34v@4R4$e?DLdHN@=wpvh3CiT
z;7Ffi6L@04k!)ZT8>P}CZy;iXaSYBkXN2qIxNi%NyeLwfj<z;@!j@w^jPlC+d!W<8
z_V1VR--rO-^hn~#HODX5Fbx(v5V-n;a$No}rF8?-qJJ)!Fl?`V@nT4g4tnPIfrFlb
z9BPSjDdk&rCF<FVpcA@6nv~&FybI&y!DiQ%6pG|RzBo2)PEAbzNqfplej~}OS@kyY
z{J4X<vAJO$uOBRK@W7tdZhGybN6YHx2A8o31;o_gffek{adk;nhnTIt#Ji(3Xm?tZ
zTs!~tyxTvVIySbkUX4w}rar*!g}@}vV~39_OD(xquDYcyJua)Ps5vHl?-irtdG048
z(#<R{8K^6q{<uOK!4l>$($h9VKnYYA#}b>lqt;4@ytTEp1(h;w2<%=X<#}LU{6fzc
z4Gj%XpBfn&Mu&fR@VFW&@rWD}+#k7){FB|orngZw=H=&edf%Ex4L)?Z;a(QYo$9KQ
z`j}<9BwVhdoO2+)u#<Sv!i8`6sIgnopl9TFasIsjWZxex-ldXw+JEqk3R`9aqCyU=
zo<3FDclxvV<<3%**0^jQl{oja;&ti;(Z%NGtbtyw64rK_P@uDGj_$;YZ7pZ12JxTg
znQ(Dp$Y)f=Y(F_?w+)PwhnaYGyFiHp^pJiIsXK=(Qx^WB-EA&AZ8AFxR=G#oHLSsJ
z98z~M3%cvPy_m5GshhGmIZ*1p5BDN=Abr7!iDL{Xy@gp5Ow*t)KR;SuMBp<KJGZWO
zCu}PONl%Am*K2BOD19-$<mqgJgoyndJq8m&YM&cw*0F*QA&*2?(1Zy>o`&J0(A4-5
zBFm)B3-%t~@KYYJC<<_fmr+=3aY+B4Cqk9tym=I)jB0LQTY}?4(Zwh<!onWL%<a))
zMGF~ZoyG;du_9;VrcJzR_a8hm`@nH;%WY_EguHnKD2qHN<lsSu7OiNSFcmPmKw^)I
zit_G3GDI-7Cm?|ME%>kRlvH5(DCF^K7B%uW4jfoVxFlOMSsQj-%Aw*7w}}<rrNZJy
zjMb?mn_F7aQ&TDKSk@W3Wj&M;o5yWdy`?b~C{Ihv3VuBGDj{6S;Kaz#0!U9|+XFz5
zq_4v)lg6cv?pEl6D2N#~BK9hd8ubhqgo2)sGwG~|tFtrqo6jj!z#3SV=ZSoYT2+4h
z_?cLnfk4tmQAxEDRi#SijuDIx!SQjc^k&|U1{(^4OZcAK3^QYXaf>h7coa@ZzY?Yt
zY*L!Ju43^o=|np)5~<1M(${VcJNgV?leoF3gt+*K&;q8X1lBJhjs=f4GTNLl)2nIe
zzr7L`KQaCxbd)rwl45f^^jN3t*mzC*UP_Or_ClV%>p5`~Y5^fLO<^+YHI0*`?Waj>
z7%MqRutNV)Z!D<*72v5=;spE5N9b`WMJ2_ydoM^MtkTz%jVa2k_AWp+PQgHN0zAc+
zX=K3u0raxebD%P~FP?niXlt9w!V896N(A&AF)|a-)kv-vF1#ZM!OLi4TY3G8EWHwa
z^7LuUrWHH~%M?+Wj;K8A+l$AKC)iy1&DK)1ckhrJ{g>`bN^0a($@`=H2nL;}v<F&d
zDRohfp;d~_Pg<PHNeP>R*idV*ilBm8CgRaG!{!U)f8fN_4A5!W4R-mgNEHMx!rmZ?
zB5agE${##@sJ`aWM(}M4Eo{*=*+a8`LHIF&82>^GCtP+Kq2%ObESk83yhdwaOzcC1
z0xW;;n4T|vLE`|}1|yGy3q?uXYjQ1|q!llnEeJei*U}UFp)FY%#we5QqDZ000O7d4
zRYL(jG+^)EcDCLzFLsYqMJ>+3&jBa{h%g!6ZH*R}g@YWpXAe4!4cL1i=xc3_V)z`{
z2Nh}TI77hrlhZOnhM#Y^wY$CLhxTw*RVX+JQ<M}QUG@a$t-9F$-3RPmKhkszs>qF0
z-$_YH400s){6ykJ1`qRBgU*JXZxuk4=gw{9#A7Q6U5g$fJU%`?WX1XyeM-XtY^lHr
zkhu5RG0(!DZOh$1&+<lD!h+KB+(#+49MCnn4NV{rL%uC9)?EYYlc<Cp?pbelYBfYI
zt}ZSJus{_)qwb(}b;FXBL&hm@D0?Blt<XbkRwGLUgVYih63>*5?9%w>r|j4aOGMZ#
zc?EU3LjWCN`}D^l$WQ|b&&nZwfe9w2y(jYU0`bW-M|#Ms<EAw~w2w*%8D82CfMsQV
zX(z#|H5^$=onjGWDUg(coE&a%U{M*%lrwd_vwr32cRfK}pwhoGlz7y3u^i!*)9B&u
zKEZ3Hh#Ed(tC;*lH{nCmN;kpN<>U#CgRL#sN&G36S`oB}u_dKDe(H`csoHZ&g_(ZV
z8>C(1vv1^E2q1s@DG`&ibh_vhP0trpRCsfcIG+i%2b<^q)bc&Hz{WL$b4IG9=AFLj
zgLXPIAz8Fh!fI&BS<>l>%RM^@oilG-7?mMrZQ1f2Y99PMe3IL+e*IKD8%+HC{Pf0}
ztNv136{V3*0c1x}grudF0_XB6I%r2Dk%r%Y{VfrZ)ReOxzjm5zZTtJ@?<9hW$u9-3
zh{*r<1>RR~6#xFCD!jCk3YHrZ&PW-KAlBAzII?UXO*B<t!c8x}Tl9>7jslKQ<J*h;
zzDo=oC^+>K*mZq?=Akr%WxRqXCf(@B!JSVGU!@ycTs-B+Pl*1AO^GuoAk#$Z^E4cb
zS0TF+XbSWiN~60)e?R)OBz$)Y5#*lTyNN&X*7KRCR8m%kFSWDF7n?PG-me1?=1y};
zQ?xwGBX6rMTnPXId!mO2*>{cJ(lIW>kL{=~TN}z=L7%Ce>q>Y5-+{mgn{d*5T<ag7
zo?OuRlzgt$eA+mP-WoASx4o><(yt#Wm2IgxCHnq9De48m0S1|Na@DG-Adg(`kIl_$
z3(Q)ImhZjh<8v)xYE1sR2>pOJ2G_jiTwj03uIRY1ENS79AKd*UAN#G;+`l$H)wS^K
zN<KBDijP!PUC+|58=1!*zNU_5Wz$7<$Kq>u?krReZDlhi_ko(SOj@{V`1oZYq6Aw9
z`tW%cI0;-iQ7<JgXvu;L<JwO39eXliMh}^TT8H!c`EKd^mug{XSHl+*I{%m!iJp;-
z0U{L?q_|6BH&9Qu`}i5BheSpS>avsaCWKcwn*G+)=o`6~g3{DOhm|7CsdIl}n}~Jr
z*`Hz9c#6RMScE$ES*WL{YFgK@$8P8EQxlb@FBvKE^k(Sw$7Xdp&;2HLmh$ZWOTE;P
z3RNAJ(x&Kt2;Ii-OO56Fg9Z?7+o)LKzu)n5kO9C#XgHP1v4H~PKDKTw-b<_I4Jfa5
zbR)bo@t@IuGWw0ZIF7%62E!+aJ1Vvr96GQ2(f9p*w=A=$?c%yJac}x&zKIw$F#67~
zLuKd|eDEMI|4>FD<t4OlM4~zrumBr_jQJwHMBDE#&Zrobq)`RxKvu|Y_5KRRLogL2
ziz}~-;np*53y+@~P>C7MERTebE7l)6J6}$|dFt^~TKZM4kuF;`e+9T%Ig-PNFJHFI
z<%1onR-42)DdaJzK?)n;9lbl2A2eKFvt8>9dr~_VHBx&!Wgj_G1&y~|yrJx4!=DDP
zoN_;nD&N;-e3j%lzp|lrmXLr5N#NtW2)2})DCVY99#Z?6h=Fu|r}|{z3Ltf*n;`8j
zVJLtPtN@CdJZP5azf5W<b92?_r-Gt?2DUG}cUCjO3GG!(h2T3%Z!Y6sH@cLWSFM15
zY0ou|zP%&0_VwWRjl1IXVr8Kp7*|KFd00G#`kWpT&CYlF6&~M39unzE$A+Sbn43!x
z54i?dM`DJC@dTO!9uW)%xZ#>NMEd=Ttu6Nj;Bb!}-(t-kyE1`}L*S$mrk|*&cl_R6
zxM2FW<o?O>-okKiR|lobvL0VEp4^PQV4F3~<K6wGZk$dbUQo)?17?fI(2#M<_@8?N
z0(2HEfB^5SC0I!UAkzJRqfRv4R)PgPh!)U-ZT)<!l_I|zyZ;DVrAwzwnPTUZfhKdP
zk{%bDX<aLsYfML={4lMAAoUkVRAXiqyvvdYK>ei^06-_T&EVyh1%(sqCYvoM8lrdU
zul1FyX4GOKOg@vk=5hQu@_rbw72lvV7nOk}FN>ddCN&kk&)c$-p>HN`{YRvm;|Wx`
zUTvwFSzKaM__6m)0@5W6P_jI=49B=~P|oe*JQ~wsFCRZ1;lHu@<$mSMaYjzs($+Px
zJp#`-mn+K%o2o(S$}$<7p&t686;PGk?q#YCRw8qa-ZWNhOR&e^o&G~Xtpql(Ud?&+
z>M@}Oh4<EBO+!t|)57Z$tZvCTKQe=iHWL}aH)oK5MV~x>eq1jl;epg*E7dx4-vtr}
zgid_@66!vGaiM#fmkyzyhbcNmXzTm;o6sc-#>)VulvOQr{{4rm8r*tSUq7zU%f`~E
zWfS2CaF*#_4op)25oO0%Y=+B4tQARzUP>#e?(~=k{)cy;>$xZWoMt7AM~5$4c=qwX
zv=dBbY<xGX?LCb*<^Tu?=*=Tl?HA&Rm6_Sf4L2QQC%p0>9ka+*?*jc-Zxf2XI?H3o
z!;_^PIA-G8TU7M!ZpZS|N5o?gk*KPs7N4g0UNGKdwKGSs^m>4p-`MdbwTmT~qFG#c
z_%WD{z&Z#hldB^NcDg3Gd-k)_CY;4JkB!V^rOhxUiO2ZOfBWaBD=I499$MIY*t7>}
zy%;z~o1`HtJ1=nt2`)E3W$RWE$A-Oh9i|nYzZxUNG)A^5zZ*2H{B*``gSyo)_5Jzp
zQEU}IVjOU!|GU=K%!~}Pnl-kzC0s=cR}AOhAsrLf+Dr!>yr*nTw|~)_-=`BSJR>G7
zf7gEyPULM&FQ>Ij%prQGq^Aq?%XV?9SfeQOIY$kJi=@SA4B*6{Oy28I=XC2211s%-
z<b>3OYS6gR{yGa6?%BI{NsYCoWfnoybe1R6VgBN<o{8$idhNQb8t}7vnw7&r<FGhY
zXwZDY;Po+1hd@PnO+0ftHA4>s#o6B8i%yI_|FM7-1@Qks=3^>bRaWLnJ65r+(B`_K
zOi;a7fPO%&pXwrwG6vpDfC9FQ3x1Tq62}9PMGS!%LCNua-DjSIoa<rwU}3@pFh=tu
zT2$OOwu_G(F=CeGv&Er<W{p&RrTF?sJV-eOPrrdS7k0>`*BaUcwjstj2_qtYUn*<-
z#pzf~2Porl(o7CB)g93R3g6~5+`Rb$vIgBUxN*R)T|wc+{WjO;OB$~}{pPQxrv=(a
zeS#aG<v#5aRQB%VU5+Rk2Vy5Gn3EcHFJ9oZt(`anuPBy&9FL3R!X2Nzts9!=A#5h<
z&r&&WthP9A4As`wvR3;TY$yPlz!VV$=?O|EcH3v(&VGtCj~`PRA`=FJF_Jk(j~yFv
zJe?rx2V$q<JO8WMc<=zyqNLWr;Na<}b-`A7Aah&h5R2c@JTe9}o^df2WmHv7pEhkX
zl^EyhzRN|UcW`%W5^tAzx+%K2Ui*8gX4j&ZW9*t$<_~DU2pcI#3VB?`rA7Uid1BfH
z841CX&j46L=`$MVKJr?_oC<;~vO!kuB9a2jL1QZ*z7+Ckx4m#7X&p4{N{2lIR>|JV
zOsxS;p-7A0-^dmdgaa`*EL0*b#;(~_|K(cMUuE5<y%-(RtMBYW=ZRx475^&HOZ^C5
zd~#)Zd6jcrVObGKlqk<MAOCHGsdl@Ja{HLbgFRx6%=7$n0v%q+jGVf2f6>x^Ee$uy
zqOlX^LCA#NhB~{swc|6uc>m?+7M)Ji{Q5D|6a-TtN@L6ebN28HRpk2mP-GPzl-%ll
zJO5V+9vy<un!pI671~!&n{^GS9(&|3T;!Oxo|h*4(*V|?67!|SL3vARG3_P{EW&W0
zn-w<EI8T`*((+F%vo9CuPkMgAbeX74L^D8CMLwiFr8RV@FBK{6{%dGPM8xj$(4W(j
z^f<pNei4xgJ$|L<|K>kVIn&WrT}oX^@hj+izcI26CQpG+4xNUGm$h(>@59ZKtsCp>
z6VCh62&4BOsI{Aodu$l1NTrXN3XBRFAnehg{9@~CZLK7mv-<UW`u1%*p#Xhr!^S_k
zUjob9aFbvo%&a51AjLsXQ3NvDfu$ws=1fM$={Kut*KP9fNVD52{uD!-+-EW8Dsul=
zepOko`?!&!q9a#!y4)}D&*(qR@0y<(vvQYL>7gZoV{SO?R=TcjtFJgQ{95>mUAlit
zn_T)+Z0FX_Bmdl~(|vZu+3dH&o2IdeJ6o|}z^tY(-_xhAuhT4_qPlO9avystMdYvs
zBURMYrmcG(@HM?9!7aw*-i4sN-b%RaAj{QGqi({7nztxOGIdW|r8|{zmTA5z!cK1<
z5gtE!PELfd&revwGNS^3F5o3=-(KHOirBfpY0U8L$edTZxg~p-Hv}#mI7RM)1;4LQ
znz3gWxoHc`gxGJL>r)e_eH8OMI%V?YW*Vs@Ue$Q`8y}0U$dTx~_a>AfIy7Ny@8ZRo
zS0}XG*3Id^F!W8NkyX!5BGIdVj^0Ht7%U})7D{5jxgs@^U{=n?XG%{<YnpSp8tdiD
zYwq4Pw2_-W{kq@1L4yb9Z3)=9Q><67q~tK|kv|qj&G*-m8B&OXGb7_8p&!T}81*Fs
zmL%}nf;qIS+N)Nry7r>IyxkDXnv~(!R=%fLfqlEaa$?^wTyG;H&`dEpz$FnDfG<6>
zlEx<W$|<((&=Z!SLI3=W;!te7O~S;*i4Gt04r*|ac*d|e^n99Ari{DIzDAtS{|+E~
zOAQsh+HYn?;4dw}1gW@d_nyZI-~ndtoG#s`lR_#!m$r^b_|`vRqGr;I5zpv=>B87n
z+SJ-A%sbRNzn7o!adb-$gVFtf5oZ!4=xK?!m5fH;9+l{=r|vyA26HbYOM(*A-ygt3
zc%Ru_msw4VElrzqVi6Ke4-XH}4UB{w9mfg3D#|%tZaVz{MU&k2E?al}oTqUxLg?`5
zgXVsn{zHb)6Ed`ukN(1jJo2GE>g|gc@$LzZz6j1DXZoE6_KS~aMtB|6EVD*(F6V*s
z81j%<%&s%M;Y*0-8INySdm?y8q`F@R@w!Y{kB5?ekm&3{G9C08)e~wE*%*eT0CN%C
zW@xi0kX=PWF(b(H(a(@QKGe=6AMlK=FKk?#E8<&UJZ8VnH4VcDj<#cUC6#PcVlhYn
zuY`EQLFf(ynN0)(pnq#aF$jvNZrxX+gtgHfn(mgxZ)~n89DCdlV!gex3g&0`IpBS)
z<oeay=NUQWGjK3?$~<I+_Nnt*Zbp9pGSCu&p5hjSj^AD2Z&7qu2ZlJcF4X2=F@VyW
zOoc9V_ijq3l>F3U5$Wl%rT%mFEup9(OmXqzjvtqEWL!#(c8q4XtaY!oh)Az1!+wO*
z!W}oC^}<C+P3>R+>sx_Yk~ZB2PZJlOCD&lSHoUFLgVzKhm&+bJTnelY&CSn4vYDgr
z*0n27&Xx5<VwqPA1#OMX6F2^YcVXYdPkXeuC>V@}TlMS5j}0v>&eL1$*BQOul~RL!
ztoRWDbgo)>X4gn0LPH|<%7*)@)Sgjw=OJ&fN$&Z#c0WnUx!TCTinq^|>>i_GuqKN)
zKWhYan_2FaoV*YBl&y9zlptR)h81;f<ysw`TeO+|PrI0YaeUGww1At4K!3}jTpc@h
zeqc!Ww3D1k$Q%IMQ8Ap1vhgm4K~?jsdd;>Zwm?rDK5~Qsfw&88`r5)sDVn#cM~{Tr
z$7Rb-9XlxUxbSBWJxi6z|CKYzcaDR&1PuV%+Wp1FFPX{1(2ZGsTk>yhIN$F7Pj_b?
zmgCxn`<8hqlqn&+szqi>=J7=$)k>OFN@<c7B}s{uQqrO{C=!L{6lF@LM1~|v31uwN
zpeRbTe~-myefy7n9Q%*GkA3X-_>S-USX!R<x$pbBuj@R|>%61|mYP<WZu2KdPNMG{
z?aM;Np)!6LU*1^=vJvXI%G|sj`9|*oo=R|1a$2FKg^kx-QQ#Z&@Aq$@<wvMZv-E)t
zT}@AE9iN9nx%!s2cTPOT$%P9ue9VvbUzRYXSB9<Y1F%g1@5N%MjlJp$d58A6*m^ie
zaF}OrWdMzzc;f2oyK!zBxi+Tx!F|SkHhBfLbM_dM(U8Qkl#$LH@b_tzdXK`KUQ=Ka
zDCB`4@;L_aEqdtU2!}k;ZS)lz1N%x`c=Yq!u2~s!<l>m!di@6vHqq4umP>>HaofBZ
zd6v<|{Y%6o0zgIL<z`owJ3!;CeZ?L3u=qOPC_CHBx6i|GCAUVN={nl~Yr=y|3&V=5
z_r>o$c1+RuwC>r7!86}He{ODVePi(Q^+W9*v>wL|h;b#U0}D>?a8F;78Kb*LEP9l+
zWfT3C+2a9h1B0yfKEy6)Y)NuolDDP5e-0Z>BuZ{ut@nMAxBGI`A94VhOV&6xKR;g>
zr3_ma|1?SBS-{SJlKnZ8GMQ8?UGI9K#kAn~w5Aiqyw2R0^|C$#RBU=}(w6(8R_x>B
zLn;3-b<qGkLVjoWdcj0;#%gLb#ej$neMbOAasOGNO}Dg6<$^HhmYy?|dZ&2Z>07E_
zEFbP1bFKWs=6xQ<Lt{^#Y~Y+J=*R2-^DPfVM4)3k<jahVqs@n8BPwG|N(V>E5gfQ4
zNV^<oMYS>0UXr|f@#?&&Q1F9OLr^ozJ^o`~8LhBfeQFM+A0gN91@!hWS1su9NvC*z
z311ulhd-d&RTQWWosj`8<Y3iNqOFr_*Y9M{oDaSHb671}vZ`Hv1NP_71UdFY=u`W4
zR1CU%^5NiF!YmV5_Mp-cQ}GgF{7&_HQlAvX%vtGREpBc`ra@O1q662J4^LLZtTQ+a
z&f~!Cg90xJ2}sBHqX6xfFJ6!jF*tM;@loOU+up}^g^mvw=I-wC_FiCU_y{3nISRvC
zSDN`XH3RUw`*^#(-Voo?^bHTtwl-1}33H^-Zi1`ZTzBs?OC644AOu?JNL3f-(mYJj
z7AnYe?eG^UzQ(19KMwh5ErF9nRmOIaro~EU@oz@vTw`HTBYe!;wQGmY!*ccNm>I^Z
zHuWQ4t32u@3<W_G=@4?4_i5?qc!|EDWO4g#YVtpFPEC!APk8<r%vEXfSlIvp+IL-^
zxrK$uX@|-0Z{EJWm3)-eT0xu(HBSHTP?L+yJQg`re;%flle^N3#?)q`qqq-I;?NXG
zGAyW_`hF_c_8_N{Q93nihP)6A;GB?I29KR{>Wd?(_yAeiKRf?;6&>4MVK&@p$MUVv
zU6(J<(X7zTc6Xg|=wpYIJWkQwopQ6MnY<d>ryF2l@EM(#w&&<}<O!wya$eBl?lScp
zElu=quz3Q?5HM5Ym*ms6NP%aO_L;n#su8eF`HsfR?{6iq*P$7kp(hH@pP%N?Q6ZXT
zqG)~0bU6PB<q9uKOK*H>dX3|iiNT13xM$%Jaz@6Fr3O|^bdbB$wQb99_vZab-R~Wh
zl#+U6r@wKd>X#k_=ok{636e3XS#ZtnBNxe^(N#X<x)(9<XCwj~dfL966vq(AC;yh`
z6TNL$;JHrS`l}8cI1s)NV}+?8@qivM`Lt!IeoDCB5;uiRY1qDaLGp}}ibKJN%hZp|
z%$n+|dSr@WOsD9{$xoa`a-a_U8K(^!;Jk4PD_Pl$vECfxo<Zpg1D0h@<(+r+zDnK7
zLx%XWRr*ZUt+VB%^BE@cF=uf~xxV=WNS|@lS4}wPmh}mHH@9d`E&R6&cOp3t6&CWv
zgeeOW9z4{&Wg9Wf{qyskylJDZIq`{!2bg{igsl7R!(;m+Dd$_Tn;wUCt#3}-Ci1+u
zk4^<$yVjYOcQs4(J(>qTYqTAYReZ<cU%B!L&Fezi^W@xR`}SM@u?$fe35*97%>fbS
zppz+e@6tsu@MDk=n7@)apt<3S71v+ZTTa%fEx&YW`}Vn3R<Egr&v}7Fi8-~uhkh$x
z?XaqC&4nwuV2xtSRjY=Y9kWP#7dg)Kf^6Tuiv9e#xZjPs_ikSI@TH3AWJ@|8dGc89
z(d+yt>sJUb*WszN{2n#PED<;9CCk%i)`b$djbn7Z4jn4veq*;Q%G@NZ^{rh#|Lv?X
z-1YR%@!?JflllT;3;8+ITQ}jtu@#5(D7^VnG=}!ladmZtJM;=u2~DYs8SC?&aDbS_
zMt)HlSr;t_(aAOl=g>IHQUZ`45kG*~fOw%tONtdnIJ0XJ1E89Ch%A87aX>WHW5-HO
zez@Xp!>yow`JZYdw^ZyF*M7=xTRVAN;DsrhY8fo8=;wESN&Cacu5|m}@wjcxYFpcL
ze?GqoUJ8a!X}6vrWEW=ms3k^S;d`0z+nI)f2M<1w*U`JezPn{s_|Sm1H^pdFHqf<v
zk;3BLUzfBBy#Q)u>@Ye>%RqzJkkx<387)0IcZ}u45a3)5Ev-xL%?-lb(T^WXiem2H
zj*1U#uXEt^x@po_L1M>)U8dlZfZ+f8<!|Nu_IbT4VOvq8`0nt53fuTS{kB-Q8O>9W
zp@lJ(a>Hn8P!X3y=6v)bUXz3Vs3t8o!vNlG`rw--lneSJ)KpZG;^Q~Ng7aRR>dM=|
zjyy=WCf2~!2sGspZ5ul~aDy)dDY{NR@kLp@pk~bx<pv+t_EkRT^t;OoaYAL(#iO1D
zz6psZe0F@C?wosGYsg^5nCW0Da3>r*yIS$Hjeqt1k(2tF?`M_YR8{efc&~B&Np|QN
zJtRQ>MmNpXWHlEr-dz8p<Kwai5B8ZTy3vX>Ccx`#ZuPEJih<0;#lzOu2Jt{+hPkZL
z`0?7JKzt<J+}uhZJ+f8PQZ%}2sa#oC=eTN>wyCKweie~eP>_s^qfG{BCYx4dA-jgQ
zL9uhoN82WozW~QvY^|K_R@>ieO!iuLGIqhRnx?z8V>QK~7Uy$Mcdd=-x3d=t3uXYX
zU)ZRO6dt|8ig{9WasUHVJD&QUBfbR>=-i=$x<U{=Ik}^^Gfa@t-x1m)@GIDAYHErp
z6cFC=WsydDda5Wc!b4s*1Y`uI?k;`t!d^G_p}t4x@6!G+*W8I)*I?E$!WdZth~O3s
zTc7w{e%E2tKR#j+;aCmQT8hL31d9=rCt{1=Sc%yE7HK7gg@XL7!BKgix<XrXzGnk{
zB&HW~ztvCKbK?MG%7|h>LR$ecg+}Ka!RiXsqXVfdKp)<Qzi)0O(h$qg8P<{okReQz
zqEIWD{Rry^p=~KhoBZ^9QdIS+T6KHqr0`qFvCws5%s}f)VBRVC$0v{P6v}duyFT#C
z1@eFVc>071^-Sip>Dp`)RuS`{gR$2dS*6L7U8sj;{B}J4^W4ot{k+p3Z+X#HyLJ`8
zK;v@5^B4CR4Vu?`hAr4yC1+Y?PxjdRm0ddg#ZLT&asr<4&dr-sS%woQ#%*$8pD|8F
zFhZrV^V&CQuXE>`A^F_+8;Gs&HUh$^A@^=x>t7vTEW9W=XSr_g*`62co@dkPb@=t=
zAIH5y4Jc544}8oi`ioV^TC26gpl6$VjgRlyF{23rXT3L4b(q_0K_I>Z|E2G_Jq6<-
zh8SA?qXD8v=JMd>PdO%!CSE~~401?Vx-EYqIT<mE2_w}(r2_*C5TstM9A(^VwY|Nd
zjsac#WLtVkd!5d{_(5N+D?mh0H6LwzI>mV3_Bc&rwMbRk?0wANK2A7W^`T&F-lEv9
z@_Wu8RzP03L_u&83w%8P!pNw8n@iuCD9GS<CHM)73y*6K#QY#R_EtfGM`25^k}OSU
z<!RH5HaVKBPMm0=rm(s3ZQo508Q<VD#YkUgRQ+{w&QOM3^z_A+CF#obQoZm<6W6cj
z<@)!#aYKKG+tEh%Z{xPEheq?~a&p8t9sLkuF5&}&-6lvrfZ(kPWmgF9vfNCMt~1e=
zGW8p3o1@l;1hm7)-16HsRH)wO`{5L419(BqY(mm8emt(ONIJTHxoGt{Ec@rGSYu>L
z*8+zJ^0%3(1>^qu+s`k)uJ2L`SwZZqq0#NjG}Z8ym~;+|AhJSwNWA5GwCp+7AoVgm
zg#<X5AXF!EQTb|<CM6~(zy9WUiUtMR`|TvH5$b_r2o(|O1DZj53Q58THL$+^A}mx~
zxN7dTj6Eo|ELeH2(KAbBE-`aQ$NUxgsOFEg4K=D^mHgG7(g9IitTuV_Y42AtCPo7y
zmCk-Wj1+}paS@;a)aW%We-+I`MI<w{Ih~5~o@WkpVtiz>ni{3pxn*q|=Nf;~iJkA-
z_*M_QJD&lQ<B&s>KZ1Z1EqG6yfj*Vi;gFy6;v8D5{T^68Z|74Vfx1SUPqnUBX5cUX
zt-(J+Uqhj4y35BW7Yq}tTK610ILOnpjj0_oXJ&B;RlR#R1W+CACa*Bq@d8#ybjUD#
zt`w`b&6^ntK!Y=8|I<krr%fwG%^D)luv^HB&roJCO-Ho%M@D{S-DpZ0qoj1asx70Z
zQJ*JU1+rpWKXY(i;A1ziR5Hk8<r#{7uwXfIbxFy~>UL*HJAu-VTzm#;NtZ2@Lm8^7
zvkg+&<LR=ZKXV!u%k*EM@@0Q?Y_}a50E>qdf?+t;jn|`NV?RYPNDN&fP>$Bpr932n
zgQ}X^ri~kG;DG1Mk=S!Xcic%CVY!6W!d!r6x~(FFt9w5tCCsFr{&XD2g+>luMA87q
z(4E=~BK9ns&mB^2I*7~yA#-oz`n9)W7epxK+mXedX$m!$B|q)lc_-9%z@Vvr<hX?^
zrEeIraoP^5C6gqBFhIWJI6hMa(>w^^#<hpA6LfWHRjsf3&|ZSDvqBkeGeydH+lu=J
z{@n^&-YKql?&;{5ykL^GfKJlsLWkdu#Kck3z(35$G<?2gqyRbcLI413H?3Z=;vpEw
z-9t0Kpr~TGHACdXMjJNJpT8Cb_rr&wzCw<x8Q~1Ng@dMg`P|R_Eg~wyz7N3^7DpwV
z4GutYq3g63jwCJNDIwY*x1n3Zg)z0DK^L$Mg0HQ8M$$EdG;*>-=?M36$L0*})y<n{
z8KSmsrB^`4>)o-|CVC-m#SM~@f7O*2ubU+f-n;i6xPynsS3$_z_6`%Zw10-(DlhpA
zrNSCff|PuEa<Vh|Dq!3ux-*c}{W%7>T!2BIJOKsk(C)WQ?ra<o3EAl`qcf$uwc49^
z{EuVhfrVQ?nGR-@=)DyqcuGoeKXFi0lo`3dwl)H29qwtgRVkW!dVQrA>rb^3b@9GR
zC8j55?;m%1MU8!qa$CT%n1f(pLaJ~1?eyjE_6n9{j16J@Sq=oT=`{_edU|Q2R!B)o
zQpplj;%=4K--(>Aza{~WNEoe(?NY(2XN^CA1zzpt0}G4w^#A_YU@3(oyV|Hx{$CFw
zbRn_|x(US4{0IPl^?LS^C?Pqv;`TaQ0YB7O?O^UY!|(iowDEs9dfXGa)Jfxu*sRMB
zh0S&)e<4@o<QbT!qmR&=R#O<i?~XLuz58!x>s+?)_JhE6{lGIbW_Ri4fwQ7!vu?+4
zc9u(2d@}dd`%>E%Rd%+UFg<I?sKp>p;K6}Ugl4BSi;ic^Iy@GJkBUX+vI|>+z`tD{
zc#c(649M_xw1{>IFwW0a&%Bw+TkunVzU)OqXYy@indoF`^T;GSCaz)uOz%UKFRs1x
z=q0^K?DMKT<MzenhNJr>PUzse?<b?<c#%FP-tY*=m=h=VoHX$-lBpfK!L>%E-Z>*Z
zGdn9#s~B=9F7p`%J%V=5-Ti{W=rxJq)uz1wsUS0jet`g1BX{ew&=<<KNelYP%XgHj
ziCr1BLSDX9(+BH-g<{a%;Mt0v@41Cxd$|ULeC<wmBOZKXpnU7&Ur)oM`|RAQwyEFY
zi=lsZ4$QWX^@~kB_H-~TBcI5N?t6S?eRR&|d!5F^p_h({$>2>#iQQP&ks5-dOjLbM
z0xqq?#Uhl5t5%QM5IM`Frd|5&!g!u0C-fO0&1<cvSzGigx@4Lyf~~bm$VWFWWR~hZ
zzd1OcERYnArSMTX0kc|lzB?B-t#5-nhN&wM?G>X5|L?xmnci$^X@P%Nj3)U>9d~Or
zH7m{H-o5}E*9Iq@NOO7Ase^2sYS&H}Q)KV7pE*Q?V19};Z{X(IcjzufmvnY--~OBQ
zOwVsCD?X#NP4s{A%&g0g?L*jByN9;P%zrG_DJXp0K^$n>YeF)9feZ!dHmTSUk>C*T
z{DrOvpcnefk>oDd)05W0k%LwP*aECAiTnu{(#C#lZF;=0ZhYSOr<cAN^}pFm2bmxA
z#g2K;>7zL-$3VDmn1#JE>-wgyPD@N(PPbNvEzH((!Mz?-Zk7E53AvvpiV_mfq*Q3@
zemX`=Nkq}<P^yymvaqNqlB$}^hMNS3f1EG*Z<q#dXZKm2gg}hJgV&YA0+4|;G`A8k
zDZgORbMD@)B{>1<17i;zaMFEsUhh!rmz9;1t(V1&T^~8?>Exkv`rk|yOn$ho%9+5$
zt7oRy8xSl6-}B~O1q$_5cRLe+u@HJAUvV_5P<ofJea|P~KtXMEYE1yJPwm7Vo;`mN
zon>=6b?QXAmR9>hFel(%kGN4!*oVU)<%ZP;5aXz6YHA7+DX`<;6%{=iZvNg7wlsXA
z;@Gk4h?(Rpz!0E!l%RaES`-s<Ym+u#?Y8mTtKMN%5A@bn&#>BcqcZB<h~A-;3xc`I
z7^7Ej-ng>=NN>1UrVblMdcWP5<vJHCnT?48t5cenS3~}TIylR%Q7GwQJCh$sJ}>tw
zc-mviKburS;@)m<z}L^8LvtoK=JLY9fT1pp_Ou$^{#qH8nYf}TB&@i2PWiQ?k6Rjh
z#4J*?T5(@+as-@ayU>K3ac;vl&w)ul<jWEgu9L#|?_XPfG16QvYwmh4RQ=tTN4<VT
z3EEowbnNZWaOXFd)g7F!ymvjGk`fs@dVouv>7*4=qehLw=;V7Pm>1H%wfnzsiM1#t
zX!m$%ahYZV+Bx1-nVYO`e=Q@U=-fG<rY5&`b9-<4N}i7>k4<1?V34{9-xS^r*=Q9j
zj`1BilG=KW_b0r6iEIxnRglp<IHjK2;=V>Y=Mtx=1#Z2~ZMHL01@F|Wl^;lo>)yOE
zpnoGcc)7klSkz{)2f^^|T<;y8(q%M&MNI!;+Qz%=OFjl<4og2?QE@@Gwot>c1Z0&N
zL9%cD=DbGbQ#&vyl&COn>{yqL8!<R|N@ye_Ixv0u=S@Gb3RY*ES`-Wvn*pj(EDCg!
z#^^>6`H_IuD0Px>ocwDSej7s__>CE2FqLO?^nriA(yYpXd7!gG;(ezd{#g7wpP7kA
z_X9|`L<j{(DK(h~Fu^W?SI1o*F;q>$^~29_Dk1USF*qowf!l>-cB-P{Yre^o^>ic?
zW?Q~|={a!nof|iHn(tq;R7S#d(@&X#ghcCOY(MaG;5@Uh&C@1H*hv54{Usz0_jb#R
z{JH)3-wWYCZTi0dX5^e7;@t1Qa&GsZh{mt)b^Z0F>1_Y~|A!wmoh^`0+2bX%lZ?-#
zoO9Z)WZ~eDHy)P|hluIYHXZ(teB)<on||uf@s!4C<|&dzC+qsUoXQVmp!b7kQb4`<
zTkQlqG8II8$$q%NX?Z_qkxR^Z2RqZm&<3WXY$zH7*5_mHt3JBlyXaRr<98oABrm;K
zK_<<hwKV5<;`@!Qz5K+byKF5jmm3<!C)?Z-rnFPw0J15cE^Z07`#Ru(+nnTb3-8~k
z);|CwCd&Ty10iA6pEWX0j}PyK)bfrzsBuP2%y4NK8`_ucvV?9AVzrD8B?e?>hJ1NR
ziC{S@hCV=gbgU7>;+E=!A`o4Y`{Wyr?Vy@k7?J{(8EdfxNQ*RHM3^Q<hgWp9`8t4P
z|72R)FeG~EBv5(nsrw7AUEASXTb7j=BIk^(4Ah>R6a}E0bm|XzG*4=(51f{eoNP54
zzUTv(saOTA3F%+*r;vyUx3`5OMGcLO^pahA_;NNze;_~NLIh-3iYMQ|WUf4Iwbm4+
z^q*RQ&eF^$T^gaX*w}pYj56-o^uEb+NjIn!_0!hl_5tqW7e~Pb6dUm=rO~<?ym76$
zAZ>%MjOYwfzG~UB9@1l0o<%CC{b3s#mE@F^$rC0tW14i<3wg#0a(BJm+kRkqe1-St
z<*?HDbnf_ZpD{g}-WJ(orE6684td1d-_DaP30{kCtss1-C2A1*`UAH&ul=o*6W_o7
z0NI!D*%iR`bF1HBc*Bf|uin13YZ|cSUGf=F@0iV(;qy*QVEQ)HK`;GLI{~Yt%vSAr
zmK&KrNfD6oySCN`1s>(+=haX7_4nVHw*5a5oL|4`@ZX_jw^(Fb`yb;=36+oo2ZYWw
z(FUp)t_!zTq<;9miR=)7a-BbXiE|P5by2>Uag*+5$X`Mj!c`!)T(=Hj*P7k39pOGO
zrC%;%YQY>LIv2J~3Jni8G%!#X<5-1|<-v?+NJXiMeB-!t+-I46*hX{}1^VV!vY&Oc
zy8H@`#PwyXy8n>Q3E$^`C#22m?l`Z*_m?32U?e3b3Krz#VPRos?22xI%_%5c!+qIb
zTBS;a#+%%Us|R^rdU~)hsPa7ijuzJhV%5&Ri})ic6V;;<KOY(@2UtLl%;wF^M7zpj
zW`8C_M@sQ`K!67>tJGtZlO!jDIflHMILQM+rw{GoH$uX~J~X?F5ToF{Le=Vk5@F%r
zgKY66&^XANvf0f-LfN1+5!o$wqn@swuQ$ZW=>sgA@(j#~U64?~$-q{=s;o>53L3lh
zp{$=cx~1{w7nRT)3A{+*Bnr%B8`Gb2`0!zrs6%@(i$_3EjQkFp_vi6|RVIHi9NMdk
z_q@~3u8&{JG#!jQE9S$m3)vTN`Rgr)r`Hb19v^WHuXAJ4BHo{0E}-?bYgoR|5d|6;
z7zk6BX$DNNEV-8cdAa%!%l&PmLV=E0`-k+5UeR9rTSR{4zySlKbzmqpHKhgy@Jl(l
z4P&SzF~EEf_fb+(a>u+QlsbF(V`&*1L<w<mJcN*j5q0`>^7Hk@r#9@)Tv)EE6Zc0}
zy|I@1b<NovLBBG=^PBq-?J2AlLR*ALG%5)_7L@jMJe2XnFuy+1AV@0Jf+@lb`Ftcw
z_<8b0Qc?utOHyv!|Kz2GY*R23QJ5u7ucjlwp2~y?;rJypog8%tLJV3J2zT-ERY0II
zi(ApKf)<hTY{k!DZDiWfqn5l|AWU#G(xKwwV#o2>$B*X3US<9yQVMo{9d?vpo@6Fu
z5%kM7q2Ijd-uy?-^HUvdP*tLYx#?L{AOWpOOYX>i{z7LtmA&_RP*^@RO+X-V9R1X_
zwCdo!?KUNtmX`b+QX(N?6o*eL%S!Vjnq4@cZNBtXGoOca9j%I?*~nxaX_Yz)Vig@~
zxVw7!`E`}9Z*GOx$Nit39U;i+Rdz>(hPn`ix6gS`9nUbwXi6V3bKQzbvMAT+H#FJz
z8H8q;y86&)ZYZb3m7E~qanW^xrr;HJ<cj2h{r#eL!TN9=Y{BRX6aX|6P(3ao0Xo6b
z{syoM7tr5#Z|HiuX>>w~#&>4kW*G%Y%L~kA1Zz5?VM5Z&hfnk6enqf*GVFYUth5gJ
zY4-Rh>#6;jnjqTc=T|V}FCUY_MMHa~>RkdSvzKk-J<0efOqpVEad%vEACkx@;iVAm
zhI>4@cW-a<T2qWqdDtMAsBReeK)*J3DJv_h{;M4L@agXP$36y2?)|!RJKq}th0?p_
zSzUfe3xt!GE~cP~PfAh{k*bF4!gz>-0cKD_T3H=i+@UG4)TA)>^y$gqBEFDgDt_Z+
z{D2}Ch<O{V2u6!^onvWDujL?6cSI^ax*r=}FA-Vvx4&%z?<;*QHr8J(N?txSBii=R
zE_zLxx@0DwQs!q+_0Y`&5AHW&!i4qY{%m&YEZA+Z^?@)K$~gvl_o>p2)~y>WjSZSX
z&PM}_wEa&9%~w*4ysP~07n<g;)$BgYxNFE70NxCpKl<n@@*;B+<KkTL_2j&>{e`H7
zQf+Z7F%oB3A9J38z@43?GLEztp%kx8uENpIP6M;B1r4$2h<(-J<vhP#czt14Do>9s
z8c3>-Ios&Cg#`joK2M4{ttWFlM2z(n{0v=PKMS5j<?(V=2vYv`6<m85a@hC5%hZgG
z;la++5`SG2bCxVOHC-mAG`#OwkdJivMZK#i5HF#5*<IvZuFzy_bZ&#<r=qJ@Ezpkh
zZh&1MD$F|5XA{5|n!N+KEHPvP!!(k1$|^j;RPS6uO(-S<3kTW5FTB>3;FZ}B;Y$H{
z%)MGO-u6&8m)om>+kizo>Ef~*G0{qcREfV~^_n$6Gx9i)acP`C&qY#7i|P!p30hcK
zZX$#*qoZNty@aD-!NFoNe6Li+b*nd(mHm77j){#G9Ql!#(V?Oqd-Q=}&JRJGaF5AQ
zF39M36iwScXO0-+M{eQ0)b3T+0RhO2)|_AxW~N)Ca^`R8O7-Yr{M1ofy?e*}%!k?8
z^HF@#%7vs2UCFA)g=c2_DA$v9@bP<tMX1KIWovrU{qWsx)Z4pSzpwRSTa`Rr9kwye
z=@_Tz{n4#Um;HQCZXr&3v->yFtcw`Fz^zY`{J<Fl{iIfZ4NYY&s|1XstgNwFMen|#
z-BD5bh;^jm%*pdpCPd{6_F_vlrbX)g%GeJpzOZxXmVdJ2IJkGI;Wi~5V_5^?G7`cM
zQbw{=q8Y?R<SY-PQS*mJ<1))#qY;Iz!k{nP$NZ5P*@lo1(**!J{OwP10YbJ?9MsSS
z08zGjVBE!?8+zZX(jC^%|ItliyCD#M=4?MV#&4E^--^y}{&2iizw!R?_??1<i(Fa%
zs{eVfT?=hv^t^(M-<^0;uyvm#g-7+CM-B<N$5`}L*><x!h=R&%imzW^C;)@Py>s&t
z0;1Wi@3R?+gAy+>Ap!9ySpNlRZy=hJQiZOaV`|^j#v@arma*sw%xxT!rxv{Wj2d*X
z_tg^tntQ%|Iily$CZ#vAuqt1!=|2#{w$R*yf<PgzaMbwn$F$Onje7+)C?8RlR;ixX
zm1ZNCOC2>|I61cIp3V26n-bE?Kj-@yZNX6byV*zQ;UbZ5908siQ);2j#A$BIVo?F*
z?2v&2Z*Q$(7-2>H+o~#QY5lz+&82Z44W39~Yf0Z*bdKc4mQy~za^ib3v=rVgDcSFP
zHp_1+Cv12$rNbz*gNYg)q%yVVjp(x>s_1V=@}koY#=>zAnM&`gDYcHdyCP~cv6#4}
zTeo3wL5}V)89yNSJ`90nexpW*zL4gr1%0+6mw@BiRMPWF?TFG_+Of0k{~Zjjy{s>J
zTZ!K4SaHBEaWuO|TE}ag`S(y(xJVR;oK+_999T#_BCR=MfdF{)E<E7!Sc@XJZvv~L
zrBzw)DtL`Uw%L4*ryLVJMA+lpN+k!1;uh~SEV$!=E4BH`m4l?yzKp)@uIISTv+b*z
z^aR04;joL(Ahr!}<yZ2Zu1%Zuix15JOqW_4x_?nhXIpS&QLoAl94MHhoL`US5ZD56
zRbd=)3&cE)$btBnVA(_n)zH-Z3bBa{bAcG_=HZ`R1VKn@>WERJ2q#N6Z=SkkJnS{H
zHL(h{jMU5DG364Au{}@SNL0Hj%wjJ|^YSgDn{Hjty`l5{wQ|VQ=+HR;eUFeW6F0}o
z%G-;y<;RQ~WnYw_2OC6UTwM&Q-%7_K8IX*B4g+<_*Ev^r2+()84yG68ZPiW5)U#*z
z`??{@0UW%(2DHtiRvqVaca8I3472|gz~+HuV|HnSdH{o2z9btCBNswhyY0{RY0Y93
z$=-D<b#wx`KN&?I*9E{i!kLXgXFDH1*d!tvQ|kS4EJOr)9CleM75t|yyIj96boH%7
zJwSp54Pfi&XvU32h!9h~J>+hpk50ueimyuEKzUN{I%8IpnXc}9v1B%-qb=PG0T->$
z$L7So0FkT?6z-(9RYL>SXSKecpYodK|KnOwDGCu{(K*t^OfBy@L+?F!keHIPZ1G}2
zE`?$Md##)mO`Ht?M2A(Y4!gNcY;T$0sdML1;e)ESfqe_!d+G`aNlBKIIE7?jLAAb1
z7H|5mJ$(ChU0vO?XMZw?m=<VKsr^)DpFc0fe5`R(`^mC%_l>2ao;h?I{;3CG7HGyn
z@h@<gZf@u+gFPl4sF?o-!7_**+p8b)qOh>o6DR7PKbIy&mX*yNzuTvt_kqC><3#Yp
z(Ka?_pv^lPHwF!=uBbR};ijo&td)c4wZvk=qT_MOr)vCW(4$YEC;8KC{vR2@@#EJ?
zFvnCq1fD1?+#eo3b^7#AFhC<l_&!~2l=T}A#Oy>aJ=L>*ofnPn=d`5aHM5y3Xs-@l
zws_HO`=wsvO#f4+(LUb(S7775`+o`F+SVpREChNQPYbh?Q)RpNZZH3h3`ynQx`hi!
z)}6T^Jm4hA>%l&^kPwjN<pmumMPImq6=lK?j0y*mC8I9J5CokI^XWa2Qv+<<)ebUS
zf{1{tR3RFQP>{8pd(eF57cePdy2K*wEN}}=kt0Xi!r2pB81Wf}(9Nl`D3z*RFw*De
zFfD6w#eAO6h7An}NZ7~OL`ESYpg=#@;I2tXO)|+0^<_V4Z(HZ`E0A8c&wli1Gm@BU
z>okLdQBgzs_NAX&EQU3hJbpZyTeDM2CBhswlz~uBC(TF<-?42mmN7TiL5RmVlit1e
z(GaAo`++7HI_QKPdvotj_x=S#yf6LJ*;xoKRz2WezA}196ityNSipk6<ON1(07OBZ
zfKdAh^c@qJa4$`FKSf^xC+Rt$5UJixrw;d&F8rKF2(;t~v;}ml@THlqf^}t<!QG{#
ztP=C7@#)~|mY6SoRaGU7U8lk6BNTyc?+*7S{>nt2WiW`OS5r2+fWDJ)MiBHQ6mE_T
z`{~t%^_;|*5~wvW+xUXWT?Le{85yeC<GGTQqEU2`2lNU=e98cmvzsJSjL-aSF6(0s
zIepHaqE7JY3Ja@bOxL<~^m~+_-)K+O2dsWRJ$<=(53a(s2MO;oI<#zZ>(MU5vJ!gV
zP6xtMLxn)`pBgE!GvEYx6SUiY88bIt7Vre^IY?K6hcs~GA_gcgF-(q+e}vHveYdzw
z%o#fVyHKF9vC$;WVgbr+rQTa#UYGJQ#|G%`RtP1f;jfd=l>Jfv4KpP)Z)oJwFWwaJ
z66Mojcoum}fmYlcPvsPF^^}aCC7cS4^(U!pCQPUz)&Sz6%v>l&j&Ck|9q_6m2#@Qk
zEpqGxTESkuqFv|}=7Y$a;nz~uo0^t!iIgQ9qf41Y3jtUK3pXli$HK3<xeCL-ZVUWR
zXgF-OrS<a!<4Pbwy^>Yz`L$kf!?&XZy&o0NRpkR=VZ{hytV%JQNVP^U8*iS@EtML}
z#et>t<*mZ*a~^nlhJ%%ro~~}TJVyF3`*9~G3hqi=7{y`jr3DTMkPis7A$C^Fo8jKE
zvOWk~d+7HLvj+1jAGx`kbx7l@o4s8wbmQ{SRBA;=p>dMRKJ03+rOK3M&UDBnJ6OE6
zUI+$8Nls@Bv4|HGI$O`sa4Ps_^F^F{soo!1H7F@5P1OI2RsPyjkaYr-BAK1LvbMUq
zmA}AGOb?KQ_lc88QMP#OyH_$~K$WGX{P^mBJkyAc5+||<08L)F4&R9fAi``yQxu3$
z?E458&wpxgTJ!|Berj*zYuwunqn7ryTbs_bzD?YK;*Z4PmFJ!PX3EOR-RihhU7h*k
ziqZTFQff!a_}SUpGn7XdPr(Yo%Mu47BSE+xvB^1;h$IgBT5c#oD>J<(Mg7=u<Ibd}
z3a$|ZK&}!`_9%#xbOFg4n(L48EDxolsVFdYvkdopIsI`+Yw00yb8EqY01G=EL&K3z
zp9*qu#?GD2!Uv4j6&#NA!i%8L(q6JYm6RDgm9QKj*1^HTFu>Yb32M)wD5+BG5yeCP
z%oPi!0qW{q`rkr39%B6D*{e$*?oKBib^7y9ZN&&>kQZShlF07C@jM|h$jX9K%jfYB
zEAai%`MeH;&u^uKBjW)B5~iC_SD+LH7YRiH1oDn9$P+maNfOxDrw<=`cj*8FjHS~E
zX%7G)>N*JP;I45u_uOF?0ypvRU$_0D>Lk*gZ|ToLdmoKpb*&fp-{PoSckWP@3=>&f
zSJJu~-knpNZz{AiRK09W-nL?Rgu!Sm#|BHUU!t9ylyvlj5t6Yjt(dq!xk3TJA}Al+
zg?QprP2Qb5mK&a}ICAnSZhxa@6rqNz(v|UhMYpV_77zyK(tAEI%(L?^du$kW{MgQw
z<w+;|pNti3U-@H;gb5(tS!!>ahzdS4`L35n?Z4tPBD|FmTP_ZD7#&$Hi_dB|O(gm&
zE0t_&;wMG^udzmwWk(h1MqUgs>U1u)MDXELv9QPHYt|@zbzZCxglhbxH95`b-Yc@E
zhAlfz>2<&Tm0v01dn2+;AOZA`<SXMcpC%)27R<pPyR)?b%PnLpD5Oc>Li|!uZ?V22
zG)D;TH+s!XkPa~4PhjX>z`H0Je!sgBGHiGmzg(zVe3GZHTea%4Pf*z2y_XjtLto+%
zf6=Xxm%jA*NUrP@(|pj!RkN8+;RdzdZKpf>+jY55t`O35dm7$MVtiWaka_dxH-7B1
zT*>OR?Zes{-N2xmo|TcCgozEJ7Fv=h4Og810)6f0YrdazdFx3S$Qv@R$+A}p3k3}S
z{`55@{im=|eZ$c}OBrwpM_ompm^xlb)Es$O^`O)0)h~$(>OFtD6mZ~O9q<4P*%CWw
z&ke4HExe5(Gu^~usQmz6-)Hr%D_5r(+!=cZZSE?Mafc76+V_*rqQK-bxRtqLdZ{qf
z?&(6esMjRPspBFrhtjaLREWuigni|-YKwX26m4F+$8Z)40_(*^aynt6PIYB#t9zAh
zx1FP%w4d*NcR<g@c8oMzz9{TmLzz|F)-UPD5Y~#BQ5$X9phsrjcff$fVy;>a<X*@3
z1&fBL%36|HHyF=w>TAtS;1YVYzS-SnC_M)EL!9#}-T8+T5A0jj^Skm~h-|Jk!tp^`
zIYCV=Y}S6#Qz3^3Q&}6Se<&oR@0VfN;JQhjoRJYDfJbg_;PSW6wDIywdQ#7tZrytE
z>VBFQXsO(aGTp%;`A$5b54imXGn6pL@*k>+(hOFbn%*tC!ULV_dv9WFpB__HRYPXJ
zVM;e!pBE`F7~yakgxqN_-H1=g{re|@cTw%}-6yTN^PcIrQ{J|?g&k?Bu}=b(s6ivn
zLFDi2_B*|mH*k2&HU&$1_x7!Ng6U|oDL$mf#*6ooiQO8Ko|Z-{AG?+-|9;P|JChBI
zi;5V0_^1DC)hH(r-|*r8m5pI5fHthUlJt(`2mA6g1Hm*Fl3$93sq+)`Pm_TO{|R0+
z79XFoIs0scxlXvKUf;T=ySrGSPd5Rq6<#BMBY<UdZD!rsC0iLP;}THAMt%Fvij_#H
z9IEN|VF!V^W!cCf4cr_A&D$O(VAR4W$I4YUHlG<Z1D*jpwvI9mz#O&+@nJb5X#i@o
zi%#fOnQUGpC)jA}Cm9Sga}I3+%*>lkv2Qhd#O4R9aGVJ4fA~?J$}2j4NTWthy}dOq
zKK^;PdlC8P-2X+7lZ0Z?2B>*|5pR+oiwFx-BfQg<%gJ$yrQlk=C+R|IocZ@FjeED+
zwDS}H&onq?rx>pJ^u~r@sg{mk+4|`-gno4d3Gfv_g<!7FO^r%Q2E7&F+Vc2?QieH$
zKtpCS&<g+qZO5*h7l3d;P#6T*fn0-{l`ylClP8yzIK@B@Pi)^vORiZ+2T0SC`|>aL
zd`|)2R@e4*wkW79QS2ZDtJxshMa8(L8Eo!V<zOwhWra_L)7bLCzv`TA#rrWu0S58~
z6Sw0H-XB=HVR{e2Lp#U^+D2pZq6o2*i%Z36C6ZALpkmsddU~1fr^_SvW5$|1x!Mm@
zt2Y7$7PH4eP;!&@&0POthjZ+crhC=(ofch7s59|ylxl|hu*+|MySVrh(Hka`1jQ`f
zMmn?mPO*qA#1q8bVcmk$E{;)eOKzUY$k1H66l={%YR#DK@L9Pc;8^Oayaj+)33Y<5
zu+eR~*Vu|5BeK39+bmq}8NU9v;1P1v?9q)Z$r?o35uc*XRjTx*8HaK>I{F0}xsvF6
zOF{ptP`2UC++6KLUj1-=f4E8G`Q8lGM7ng)V+f!IQdk=6xP$#hj2q{O5TmpvPUq~+
zC|pmkhClC@di$A6dYt1Jm$`Gdx6ZA7y`2r7GVWN5TVY3&J5zrl+wV)^uT;O7<ID8K
zzFxSD1b7<!p*pcl<%oGY+W&^;wo`*^Vf(hWecj|@mFR390b5tRs)rG+uzF@oz2`ry
zO*)D5A%Df)+V$&EDN9X%;j(?N`k0;i(rV3(MX&QCr^mjZ@~PrFY0j;vWF{_aXavo!
zt*ObICCq~BmW_jm0{dnA(Tqj?)%yP;v0Q65Z`snhbLZX#ls=537}qp3DnClaRz@0!
zLBv5O*<)39uW@jg3BA$egqdi6GxsakgFOQe2hH?scHc@GKJanIhHg&Jmfh@Wn0e|J
zVbfZz{qxfa+L^=G4e{HBUh()9&8=>3=UX3fl`+t0$#ZWm(ATB8QBT>^S3?TGPRJ0&
z&Rp5ou8EsF867m&d-I~=#~eLjbshf#2TC1+Pr~If9ws2_nbA&&#|aO5uIBFUtwaaC
zs(INq_x&R&b9{vc2>5~H;Xvyi1EpYIZ``=yWJdEwpUDhq3*0r_LTI;n^0t~Iwm9mA
z&jshIKi1_={BZcs+-^N-*mfiCbW>9m^g&-V77DV^vVp44sn)D#ld#2J99Dee>C?z$
zFB(VdCJsDOp%`&kLZXx2V)5MN*sC!6Ecs%0T&QoD!j|`N+2gp()%EPh<7E^3jW(Dg
zh76*%VToE0R#(zib-!eoje6$niQ;Q<X}tyu-&gn?7SxJqdJBNg0peOBI5lb3sHau2
zOluPCaL^lHOGy;cQZf{jY?muPkR;-ujnI`FgWnly;y}H`ti<8b6o^DE{qx;bqt}Df
z!-$$?x#f&+(+?)7U{BykN=~I`XJ;o|TtGWCayO069#7sp1ei@-Vb|Y(3;w2bje?FX
zT`Ku_&a|E2n*vu^y*_*pn8H!BjbKH$Yi8Z))}zNPrwU2603ars@8Fzo=jKkq?SM#c
zdEOrrP&80ypDqK$5r)iks(eleIHcxy$j|R4c0^EPFY!_8)dhZ4Xn7#*3sgUP;)Ewv
zNmIs-h^4M%x=6pMCCTL&v2KPML3A=T^-b}Ks8)}_H0FBHebPIS93H<PMpKTN+05N6
z|K<K|@){aj7PeePAukjOf_^~oFvFq#SW;3o@(EzrI&wS#3SYgN?r*H8tlSQcH*c4@
z=^S=#{~&q9A$(>%sT82=7=cS+3;;#O^GAzv?V(%NS0}2fda$3#xCk>NJ)1xmEQ+U4
z&#;#2QGcwy8>0B&*<)-oetaVOf7&$}xLh$01Ei8QV1}U|>nTWY7aCiArupJb<*iH*
zgW$SjX$41b)_q<%Wai9{#{Fp?;u54kE&a-Es||v?>9Kq|KW-^JeD>E0OwRgFIx()Z
zpZFw>V2U+h$bu(tNY~kjytBto%){tTuiPUL$u*$gxN`qHuW)moS0SK7BQK<KbCD)-
z^$ZnJQ8mj`q@1fUJPM%33A93|DlP;@4^KS1MLDXgzsaK6ZXa#Dt$BUSuYncxJe}s0
zqA+0XmH&K4M_-ara`N5<oTPJ&7X*AbI6S<WrxrX4iBpJQhW09X{J1B1B*RzfF9cK7
z$?C5ey}18j@|-NJ7NmzS#PkR4AXx0<k`h-}S3!bBRZcbr6hSI<1`?Bcjw>5PbR*%M
zxijmfv6C7V+5VIK1p)8S86I@ny?Fyy0qZv_%5lvaGSxGJ&lLBQfNBjndFfIcqCQ5v
zEI+ujt+jGC6)dYfh&~ri%#kC*qVmtArB#(*YNHHCcEZyohjbOnHg*<c6i8x_7s#o$
zN9f2dUHfOl>j47?;yG+i-Xbh7@0RC`jjg1Bz#ijiyzcLc{pAJ>5VW=6XE-?jBdlcz
z8Ip|i(A1c&WKQzKuQO)hkzr%L<^EfrvMn?&CFL%8Vsx|x1|1V`mzec8_*JjN-U-z{
zM)hJ9CVy1iU7-12|8%YVEO#4J{S-=0GiXg_B*odYG`4*NlmG?K3p(WU`QKu|%a@9&
zDtTvWc7<`=v+!*nTraTpX7rCk1I#<J*H>^NE>3S*`YV$Z#MWSHY%HvJ)GKI@GbYjH
zL>*8Zm3+D1FFBAz-f^a=QEd~5n52zk6SL-2CrzT*!{goyO0BZCw(Ln)yMI+EFqB=h
zDt_8-3dgGKzy9iN%YG>)`G@~&dD6e1`Ty1rX16)^?D5^8wZm7>nr;KXM~2icqo?#-
U_P)wiEc|luf@R{Ad8_{VAL|*q1^@s6
diff --git a/public/normalization-confounders-and-batch-correction.html b/public/normalization-confounders-and-batch-correction.html
index c2f7723..53db115 100644
--- a/public/normalization-confounders-and-batch-correction.html
+++ b/public/normalization-confounders-and-batch-correction.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -961,179 +967,47 @@ need to convert the UMI count matrix to a sparse format to apply sctransform.</p
<a class="sourceLine" id="cb321-3" data-line-number="3">sctnorm_data <-<span class="st"> </span>sctransform<span class="op">::</span><span class="kw">vst</span>(<span class="dt">umi =</span> umi_sparse, <span class="dt">min_cells =</span> <span class="dv">1</span>,</a>
<a class="sourceLine" id="cb321-4" data-line-number="4"> <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(umi.qc)),</a>
<a class="sourceLine" id="cb321-5" data-line-number="5"> <span class="dt">latent_var =</span> <span class="st">"log10_total_counts_endogenous"</span>)</a></code></pre></div>
-<pre><code>##
- |
- | | 0%
- |
- |======== | 12%
- |
- |================ | 25%
- |
- |======================== | 38%
- |
- |================================ | 50%
- |
- |========================================= | 62%
- |
- |================================================= | 75%
- |
- |========================================================= | 88%
- |
- |=================================================================| 100%
-##
- |
- | | 0%
- |
- |= | 2%
- |
- |== | 4%
- |
- |==== | 5%
- |
- |===== | 7%
- |
- |====== | 9%
- |
- |======= | 11%
- |
- |======== | 13%
- |
- |========= | 15%
- |
- |=========== | 16%
- |
- |============ | 18%
- |
- |============= | 20%
- |
- |============== | 22%
- |
- |=============== | 24%
- |
- |================= | 25%
- |
- |================== | 27%
- |
- |=================== | 29%
- |
- |==================== | 31%
- |
- |===================== | 33%
- |
- |====================== | 35%
- |
- |======================== | 36%
- |
- |========================= | 38%
- |
- |========================== | 40%
- |
- |=========================== | 42%
- |
- |============================ | 44%
- |
- |============================== | 45%
- |
- |=============================== | 47%
- |
- |================================ | 49%
- |
- |================================= | 51%
- |
- |================================== | 53%
- |
- |=================================== | 55%
- |
- |===================================== | 56%
- |
- |====================================== | 58%
- |
- |======================================= | 60%
- |
- |======================================== | 62%
- |
- |========================================= | 64%
- |
- |=========================================== | 65%
- |
- |============================================ | 67%
- |
- |============================================= | 69%
- |
- |============================================== | 71%
- |
- |=============================================== | 73%
- |
- |================================================ | 75%
- |
- |================================================== | 76%
- |
- |=================================================== | 78%
- |
- |==================================================== | 80%
- |
- |===================================================== | 82%
- |
- |====================================================== | 84%
- |
- |======================================================== | 85%
- |
- |========================================================= | 87%
- |
- |========================================================== | 89%
- |
- |=========================================================== | 91%
- |
- |============================================================ | 93%
- |
- |============================================================= | 95%
- |
- |=============================================================== | 96%
- |
- |================================================================ | 98%
- |
- |=================================================================| 100%</code></pre>
-<div class="sourceCode" id="cb323"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb323-1" data-line-number="1"><span class="co">## Pearson residuals, or deviance residuals</span></a>
-<a class="sourceLine" id="cb323-2" data-line-number="2"><span class="kw">dim</span>(sctnorm_data<span class="op">$</span>y)</a></code></pre></div>
+<div class="sourceCode" id="cb322"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb322-1" data-line-number="1"><span class="co">## Pearson residuals, or deviance residuals</span></a>
+<a class="sourceLine" id="cb322-2" data-line-number="2"><span class="kw">dim</span>(sctnorm_data<span class="op">$</span>y)</a></code></pre></div>
<pre><code>## [1] 14066 657</code></pre>
-<div class="sourceCode" id="cb325"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb325-1" data-line-number="1"><span class="kw">dim</span>(umi.qc)</a></code></pre></div>
+<div class="sourceCode" id="cb324"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb324-1" data-line-number="1"><span class="kw">dim</span>(umi.qc)</a></code></pre></div>
<pre><code>## [1] 14066 657</code></pre>
-<div class="sourceCode" id="cb327"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb327-1" data-line-number="1">sctnorm_data<span class="op">$</span>model_str</a></code></pre></div>
+<div class="sourceCode" id="cb326"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb326-1" data-line-number="1">sctnorm_data<span class="op">$</span>model_str</a></code></pre></div>
<pre><code>## [1] "y ~ log10_total_counts_endogenous"</code></pre>
-<div class="sourceCode" id="cb329"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb329-1" data-line-number="1"><span class="kw">assay</span>(umi.qc, <span class="st">"sctrans_norm"</span>) <-<span class="st"> </span>sctnorm_data<span class="op">$</span>y</a></code></pre></div>
+<div class="sourceCode" id="cb328"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb328-1" data-line-number="1"><span class="kw">assay</span>(umi.qc, <span class="st">"sctrans_norm"</span>) <-<span class="st"> </span>sctnorm_data<span class="op">$</span>y</a></code></pre></div>
<p>Let us look at the NB GLM model parameters estimated by sctransform.</p>
-<div class="sourceCode" id="cb330"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb330-1" data-line-number="1"><span class="co">#sce$log10_total_counts</span></a>
-<a class="sourceLine" id="cb330-2" data-line-number="2"><span class="co">## Matrix of estimated model parameters per gene (theta and regression coefficients)</span></a>
-<a class="sourceLine" id="cb330-3" data-line-number="3">sctransform<span class="op">::</span><span class="kw">plot_model_pars</span>(sctnorm_data)</a></code></pre></div>
+<div class="sourceCode" id="cb329"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb329-1" data-line-number="1"><span class="co">#sce$log10_total_counts</span></a>
+<a class="sourceLine" id="cb329-2" data-line-number="2"><span class="co">## Matrix of estimated model parameters per gene (theta and regression coefficients)</span></a>
+<a class="sourceLine" id="cb329-3" data-line-number="3">sctransform<span class="op">::</span><span class="kw">plot_model_pars</span>(sctnorm_data)</a></code></pre></div>
<p><img src="exprs-norm_files/figure-html/sctransform-params-plot-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>We can look at the effect of sctransform’s normalization on three particular
genes, ACTB, POU5F1 (aka OCT4) and CD74.</p>
-<div class="sourceCode" id="cb331"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb331-1" data-line-number="1"><span class="co">##c('ACTB', 'Rpl10', 'Cd74')</span></a>
-<a class="sourceLine" id="cb331-2" data-line-number="2">genes_plot <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"ENSG00000075624"</span>, <span class="st">"ENSG00000204531"</span>, <span class="st">"ENSG00000019582"</span>)</a>
-<a class="sourceLine" id="cb331-3" data-line-number="3">sctransform<span class="op">::</span><span class="kw">plot_model</span>(sctnorm_data, umi_sparse, genes_plot, </a>
-<a class="sourceLine" id="cb331-4" data-line-number="4"> <span class="dt">plot_residual =</span> <span class="ot">TRUE</span>, <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(umi.qc)))</a></code></pre></div>
+<div class="sourceCode" id="cb330"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb330-1" data-line-number="1"><span class="co">##c('ACTB', 'Rpl10', 'Cd74')</span></a>
+<a class="sourceLine" id="cb330-2" data-line-number="2">genes_plot <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"ENSG00000075624"</span>, <span class="st">"ENSG00000204531"</span>, <span class="st">"ENSG00000019582"</span>)</a>
+<a class="sourceLine" id="cb330-3" data-line-number="3">sctransform<span class="op">::</span><span class="kw">plot_model</span>(sctnorm_data, umi_sparse, genes_plot, </a>
+<a class="sourceLine" id="cb330-4" data-line-number="4"> <span class="dt">plot_residual =</span> <span class="ot">TRUE</span>, <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(umi.qc)))</a></code></pre></div>
<p><img src="exprs-norm_files/figure-html/sctransform-genes-plot-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb332"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb332-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA_sctrans_norm"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
-<a class="sourceLine" id="cb332-2" data-line-number="2"> <span class="kw">runPCA</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"sctrans_norm"</span>)</a>
-<a class="sourceLine" id="cb332-3" data-line-number="3">)</a>
-<a class="sourceLine" id="cb332-4" data-line-number="4"><span class="kw">plotReducedDim</span>(</a>
-<a class="sourceLine" id="cb332-5" data-line-number="5"> umi.qc,</a>
-<a class="sourceLine" id="cb332-6" data-line-number="6"> <span class="dt">use_dimred =</span> <span class="st">"PCA_sctrans_norm"</span>,</a>
-<a class="sourceLine" id="cb332-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb332-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb332-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb332-10" data-line-number="10">) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"PCA plot: sctransform normalization"</span>) </a></code></pre></div>
+<div class="sourceCode" id="cb331"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb331-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA_sctrans_norm"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
+<a class="sourceLine" id="cb331-2" data-line-number="2"> <span class="kw">runPCA</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"sctrans_norm"</span>)</a>
+<a class="sourceLine" id="cb331-3" data-line-number="3">)</a>
+<a class="sourceLine" id="cb331-4" data-line-number="4"><span class="kw">plotReducedDim</span>(</a>
+<a class="sourceLine" id="cb331-5" data-line-number="5"> umi.qc,</a>
+<a class="sourceLine" id="cb331-6" data-line-number="6"> <span class="dt">use_dimred =</span> <span class="st">"PCA_sctrans_norm"</span>,</a>
+<a class="sourceLine" id="cb331-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb331-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb331-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb331-10" data-line-number="10">) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"PCA plot: sctransform normalization"</span>) </a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:norm-pca-sctransform"></span>
<img src="exprs-norm_files/figure-html/norm-pca-sctransform-1.png" alt="PCA plot of the tung data after sctransform normalisation (Pearson residuals)." width="90%" />
<p class="caption">
Figure 7.7: PCA plot of the tung data after sctransform normalisation (Pearson residuals).
</p>
</div>
-<div class="sourceCode" id="cb333"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb333-1" data-line-number="1"><span class="kw">plotRLE</span>(</a>
-<a class="sourceLine" id="cb333-2" data-line-number="2"> umi.qc[endog_genes, ], </a>
-<a class="sourceLine" id="cb333-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"sctrans_norm"</span>,</a>
-<a class="sourceLine" id="cb333-4" data-line-number="4"> <span class="dt">colour_by =</span> <span class="st">"batch"</span></a>
-<a class="sourceLine" id="cb333-5" data-line-number="5">) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"RLE plot: sctransform normalization"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb332"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb332-1" data-line-number="1"><span class="kw">plotRLE</span>(</a>
+<a class="sourceLine" id="cb332-2" data-line-number="2"> umi.qc[endog_genes, ], </a>
+<a class="sourceLine" id="cb332-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"sctrans_norm"</span>,</a>
+<a class="sourceLine" id="cb332-4" data-line-number="4"> <span class="dt">colour_by =</span> <span class="st">"batch"</span></a>
+<a class="sourceLine" id="cb332-5" data-line-number="5">) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"RLE plot: sctransform normalization"</span>)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:norm-ours-rle-sctransform"></span>
<img src="exprs-norm_files/figure-html/norm-ours-rle-sctransform-1.png" alt="Cell-wise RLE of the tung data" width="90%" />
<p class="caption">
@@ -1166,46 +1040,46 @@ our dataset containes only gene IDs, therefore we will be using the gene lengths
instead of transcripts. <code>scater</code> uses the
<a href="https://bioconductor.org/packages/release/bioc/html/biomaRt.html">biomaRt</a>
package, which allows one to annotate genes by other attributes:</p>
-<div class="sourceCode" id="cb334"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb334-1" data-line-number="1">umi.qc <-<span class="st"> </span><span class="kw">getBMFeatureAnnos</span>(</a>
-<a class="sourceLine" id="cb334-2" data-line-number="2"> umi.qc,</a>
-<a class="sourceLine" id="cb334-3" data-line-number="3"> <span class="dt">filters =</span> <span class="st">"ensembl_gene_id"</span>, </a>
-<a class="sourceLine" id="cb334-4" data-line-number="4"> <span class="dt">attributes =</span> <span class="kw">c</span>(</a>
-<a class="sourceLine" id="cb334-5" data-line-number="5"> <span class="st">"ensembl_gene_id"</span>,</a>
-<a class="sourceLine" id="cb334-6" data-line-number="6"> <span class="st">"hgnc_symbol"</span>,</a>
-<a class="sourceLine" id="cb334-7" data-line-number="7"> <span class="st">"chromosome_name"</span>,</a>
-<a class="sourceLine" id="cb334-8" data-line-number="8"> <span class="st">"start_position"</span>,</a>
-<a class="sourceLine" id="cb334-9" data-line-number="9"> <span class="st">"end_position"</span></a>
-<a class="sourceLine" id="cb334-10" data-line-number="10"> ), </a>
-<a class="sourceLine" id="cb334-11" data-line-number="11"> <span class="dt">biomart =</span> <span class="st">"ENSEMBL_MART_ENSEMBL"</span>, </a>
-<a class="sourceLine" id="cb334-12" data-line-number="12"> <span class="dt">dataset =</span> <span class="st">"hsapiens_gene_ensembl"</span>,</a>
-<a class="sourceLine" id="cb334-13" data-line-number="13"> <span class="dt">host =</span> <span class="st">"www.ensembl.org"</span></a>
-<a class="sourceLine" id="cb334-14" data-line-number="14">)</a>
-<a class="sourceLine" id="cb334-15" data-line-number="15"></a>
-<a class="sourceLine" id="cb334-16" data-line-number="16"><span class="co"># If you have mouse data, change the arguments based on this example:</span></a>
-<a class="sourceLine" id="cb334-17" data-line-number="17"><span class="co"># getBMFeatureAnnos(</span></a>
-<a class="sourceLine" id="cb334-18" data-line-number="18"><span class="co"># object,</span></a>
-<a class="sourceLine" id="cb334-19" data-line-number="19"><span class="co"># filters = "ensembl_transcript_id",</span></a>
-<a class="sourceLine" id="cb334-20" data-line-number="20"><span class="co"># attributes = c(</span></a>
-<a class="sourceLine" id="cb334-21" data-line-number="21"><span class="co"># "ensembl_transcript_id",</span></a>
-<a class="sourceLine" id="cb334-22" data-line-number="22"><span class="co"># "ensembl_gene_id", </span></a>
-<a class="sourceLine" id="cb334-23" data-line-number="23"><span class="co"># "mgi_symbol",</span></a>
-<a class="sourceLine" id="cb334-24" data-line-number="24"><span class="co"># "chromosome_name",</span></a>
-<a class="sourceLine" id="cb334-25" data-line-number="25"><span class="co"># "transcript_biotype",</span></a>
-<a class="sourceLine" id="cb334-26" data-line-number="26"><span class="co"># "transcript_start",</span></a>
-<a class="sourceLine" id="cb334-27" data-line-number="27"><span class="co"># "transcript_end",</span></a>
-<a class="sourceLine" id="cb334-28" data-line-number="28"><span class="co"># "transcript_count"</span></a>
-<a class="sourceLine" id="cb334-29" data-line-number="29"><span class="co"># ),</span></a>
-<a class="sourceLine" id="cb334-30" data-line-number="30"><span class="co"># biomart = "ENSEMBL_MART_ENSEMBL",</span></a>
-<a class="sourceLine" id="cb334-31" data-line-number="31"><span class="co"># dataset = "mmusculus_gene_ensembl",</span></a>
-<a class="sourceLine" id="cb334-32" data-line-number="32"><span class="co"># host = "www.ensembl.org"</span></a>
-<a class="sourceLine" id="cb334-33" data-line-number="33"><span class="co"># )</span></a></code></pre></div>
+<div class="sourceCode" id="cb333"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb333-1" data-line-number="1">umi.qc <-<span class="st"> </span><span class="kw">getBMFeatureAnnos</span>(</a>
+<a class="sourceLine" id="cb333-2" data-line-number="2"> umi.qc,</a>
+<a class="sourceLine" id="cb333-3" data-line-number="3"> <span class="dt">filters =</span> <span class="st">"ensembl_gene_id"</span>, </a>
+<a class="sourceLine" id="cb333-4" data-line-number="4"> <span class="dt">attributes =</span> <span class="kw">c</span>(</a>
+<a class="sourceLine" id="cb333-5" data-line-number="5"> <span class="st">"ensembl_gene_id"</span>,</a>
+<a class="sourceLine" id="cb333-6" data-line-number="6"> <span class="st">"hgnc_symbol"</span>,</a>
+<a class="sourceLine" id="cb333-7" data-line-number="7"> <span class="st">"chromosome_name"</span>,</a>
+<a class="sourceLine" id="cb333-8" data-line-number="8"> <span class="st">"start_position"</span>,</a>
+<a class="sourceLine" id="cb333-9" data-line-number="9"> <span class="st">"end_position"</span></a>
+<a class="sourceLine" id="cb333-10" data-line-number="10"> ), </a>
+<a class="sourceLine" id="cb333-11" data-line-number="11"> <span class="dt">biomart =</span> <span class="st">"ENSEMBL_MART_ENSEMBL"</span>, </a>
+<a class="sourceLine" id="cb333-12" data-line-number="12"> <span class="dt">dataset =</span> <span class="st">"hsapiens_gene_ensembl"</span>,</a>
+<a class="sourceLine" id="cb333-13" data-line-number="13"> <span class="dt">host =</span> <span class="st">"www.ensembl.org"</span></a>
+<a class="sourceLine" id="cb333-14" data-line-number="14">)</a>
+<a class="sourceLine" id="cb333-15" data-line-number="15"></a>
+<a class="sourceLine" id="cb333-16" data-line-number="16"><span class="co"># If you have mouse data, change the arguments based on this example:</span></a>
+<a class="sourceLine" id="cb333-17" data-line-number="17"><span class="co"># getBMFeatureAnnos(</span></a>
+<a class="sourceLine" id="cb333-18" data-line-number="18"><span class="co"># object,</span></a>
+<a class="sourceLine" id="cb333-19" data-line-number="19"><span class="co"># filters = "ensembl_transcript_id",</span></a>
+<a class="sourceLine" id="cb333-20" data-line-number="20"><span class="co"># attributes = c(</span></a>
+<a class="sourceLine" id="cb333-21" data-line-number="21"><span class="co"># "ensembl_transcript_id",</span></a>
+<a class="sourceLine" id="cb333-22" data-line-number="22"><span class="co"># "ensembl_gene_id", </span></a>
+<a class="sourceLine" id="cb333-23" data-line-number="23"><span class="co"># "mgi_symbol",</span></a>
+<a class="sourceLine" id="cb333-24" data-line-number="24"><span class="co"># "chromosome_name",</span></a>
+<a class="sourceLine" id="cb333-25" data-line-number="25"><span class="co"># "transcript_biotype",</span></a>
+<a class="sourceLine" id="cb333-26" data-line-number="26"><span class="co"># "transcript_start",</span></a>
+<a class="sourceLine" id="cb333-27" data-line-number="27"><span class="co"># "transcript_end",</span></a>
+<a class="sourceLine" id="cb333-28" data-line-number="28"><span class="co"># "transcript_count"</span></a>
+<a class="sourceLine" id="cb333-29" data-line-number="29"><span class="co"># ),</span></a>
+<a class="sourceLine" id="cb333-30" data-line-number="30"><span class="co"># biomart = "ENSEMBL_MART_ENSEMBL",</span></a>
+<a class="sourceLine" id="cb333-31" data-line-number="31"><span class="co"># dataset = "mmusculus_gene_ensembl",</span></a>
+<a class="sourceLine" id="cb333-32" data-line-number="32"><span class="co"># host = "www.ensembl.org"</span></a>
+<a class="sourceLine" id="cb333-33" data-line-number="33"><span class="co"># )</span></a></code></pre></div>
<p>Some of the genes were not annotated, therefore we filter them out:</p>
-<div class="sourceCode" id="cb335"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb335-1" data-line-number="1">umi.qc.ann <-<span class="st"> </span>umi.qc[<span class="op">!</span><span class="kw">is.na</span>(<span class="kw">rowData</span>(umi.qc)<span class="op">$</span>ensembl_gene_id), ]</a></code></pre></div>
+<div class="sourceCode" id="cb334"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb334-1" data-line-number="1">umi.qc.ann <-<span class="st"> </span>umi.qc[<span class="op">!</span><span class="kw">is.na</span>(<span class="kw">rowData</span>(umi.qc)<span class="op">$</span>ensembl_gene_id), ]</a></code></pre></div>
<p>Now we compute the total gene length in Kilobases by using the <code>end_position</code>
and <code>start_position</code> fields:</p>
-<div class="sourceCode" id="cb336"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb336-1" data-line-number="1">eff_length <-<span class="st"> </span></a>
-<a class="sourceLine" id="cb336-2" data-line-number="2"><span class="st"> </span><span class="kw">abs</span>(<span class="kw">rowData</span>(umi.qc.ann)<span class="op">$</span>end_position <span class="op">-</span><span class="st"> </span><span class="kw">rowData</span>(umi.qc.ann)<span class="op">$</span>start_position) <span class="op">/</span><span class="st"> </span><span class="dv">1000</span></a></code></pre></div>
-<div class="sourceCode" id="cb337"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb337-1" data-line-number="1"><span class="kw">plot</span>(eff_length, <span class="kw">rowMeans</span>(<span class="kw">counts</span>(umi.qc.ann)))</a></code></pre></div>
+<div class="sourceCode" id="cb335"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb335-1" data-line-number="1">eff_length <-<span class="st"> </span></a>
+<a class="sourceLine" id="cb335-2" data-line-number="2"><span class="st"> </span><span class="kw">abs</span>(<span class="kw">rowData</span>(umi.qc.ann)<span class="op">$</span>end_position <span class="op">-</span><span class="st"> </span><span class="kw">rowData</span>(umi.qc.ann)<span class="op">$</span>start_position) <span class="op">/</span><span class="st"> </span><span class="dv">1000</span></a></code></pre></div>
+<div class="sourceCode" id="cb336"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb336-1" data-line-number="1"><span class="kw">plot</span>(eff_length, <span class="kw">rowMeans</span>(<span class="kw">counts</span>(umi.qc.ann)))</a></code></pre></div>
<p>There is no relationship between gene length and mean expression so __FPKM__s &
__TPM__s are inappropriate for this dataset. This is what we would expect for
UMI protocols that tag one end of the transcript. But we will demonstrate them
@@ -1216,29 +1090,29 @@ different from what we have calculated. Please consider our calculation as
approximation. If you want to use the total exon lengths, please refer to <a href="https://www.biostars.org/p/83901/">this
page</a>.</p>
<p>Now we are ready to perform the normalisations:</p>
-<div class="sourceCode" id="cb338"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb338-1" data-line-number="1"><span class="kw">tpm</span>(umi.qc.ann) <-<span class="st"> </span><span class="kw">log2</span>(<span class="kw">calculateTPM</span>(umi.qc.ann, eff_length) <span class="op">+</span><span class="st"> </span><span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb337"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb337-1" data-line-number="1"><span class="kw">tpm</span>(umi.qc.ann) <-<span class="st"> </span><span class="kw">log2</span>(<span class="kw">calculateTPM</span>(umi.qc.ann, eff_length) <span class="op">+</span><span class="st"> </span><span class="dv">1</span>)</a></code></pre></div>
<p>Plot the results as a PCA plot:</p>
-<div class="sourceCode" id="cb339"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb339-1" data-line-number="1">tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
-<a class="sourceLine" id="cb339-2" data-line-number="2"> umi.qc.ann,</a>
-<a class="sourceLine" id="cb339-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"tpm"</span>,</a>
-<a class="sourceLine" id="cb339-4" data-line-number="4">)</a>
-<a class="sourceLine" id="cb339-5" data-line-number="5"><span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb339-6" data-line-number="6"> tmp,</a>
-<a class="sourceLine" id="cb339-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb339-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb339-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb339-10" data-line-number="10">)</a></code></pre></div>
-<div class="sourceCode" id="cb340"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb340-1" data-line-number="1"><span class="kw">tpm</span>(umi.qc.ann) <-<span class="st"> </span><span class="kw">log2</span>(<span class="kw">calculateFPKM</span>(umi.qc.ann, eff_length) <span class="op">+</span><span class="st"> </span><span class="dv">1</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb341"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb341-1" data-line-number="1">tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
-<a class="sourceLine" id="cb341-2" data-line-number="2"> umi.qc.ann,</a>
-<a class="sourceLine" id="cb341-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"tpm"</span>,</a>
-<a class="sourceLine" id="cb341-4" data-line-number="4">)</a>
-<a class="sourceLine" id="cb341-5" data-line-number="5"><span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb341-6" data-line-number="6"> tmp,</a>
-<a class="sourceLine" id="cb341-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb341-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb341-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb341-10" data-line-number="10">)</a></code></pre></div>
+<div class="sourceCode" id="cb338"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb338-1" data-line-number="1">tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
+<a class="sourceLine" id="cb338-2" data-line-number="2"> umi.qc.ann,</a>
+<a class="sourceLine" id="cb338-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"tpm"</span>,</a>
+<a class="sourceLine" id="cb338-4" data-line-number="4">)</a>
+<a class="sourceLine" id="cb338-5" data-line-number="5"><span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb338-6" data-line-number="6"> tmp,</a>
+<a class="sourceLine" id="cb338-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb338-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb338-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb338-10" data-line-number="10">)</a></code></pre></div>
+<div class="sourceCode" id="cb339"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb339-1" data-line-number="1"><span class="kw">tpm</span>(umi.qc.ann) <-<span class="st"> </span><span class="kw">log2</span>(<span class="kw">calculateFPKM</span>(umi.qc.ann, eff_length) <span class="op">+</span><span class="st"> </span><span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb340"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb340-1" data-line-number="1">tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
+<a class="sourceLine" id="cb340-2" data-line-number="2"> umi.qc.ann,</a>
+<a class="sourceLine" id="cb340-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"tpm"</span>,</a>
+<a class="sourceLine" id="cb340-4" data-line-number="4">)</a>
+<a class="sourceLine" id="cb340-5" data-line-number="5"><span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb340-6" data-line-number="6"> tmp,</a>
+<a class="sourceLine" id="cb340-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb340-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb340-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb340-10" data-line-number="10">)</a></code></pre></div>
<p><strong>Note</strong> The <code>PCA</code> looks for differences between cells. Gene length is the same
across cells for each gene thus <strong>FPKM</strong> is almost identical to the <strong>CPM</strong> plot
(it is just rotated) since it performs <strong>CPM</strong> first then normalizes gene
@@ -1357,12 +1231,6 @@ Figure 7.11: Cell-wise RLE of the tung data
Figure 7.12: Cell-wise RLE of the tung data
</p>
</div>
-<pre><code>## Warning: Setting 'use.ranks=TRUE' for the old defaults.
-## Set 'use.ranks=FALSE' for the new defaults.</code></pre>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors</code></pre>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors</code></pre>
<div class="figure" style="text-align: center"><span id="fig:norm-pca-lsf-umi"></span>
<img src="exprs-norm-reads_files/figure-html/norm-pca-lsf-umi-1.png" alt="PCA plot of the tung data after LSF normalisation" width="90%" />
<p class="caption">
@@ -1381,349 +1249,6 @@ Figure 7.14: Cell-wise RLE of the tung data
Figure 7.15: Cell-wise RLE of the tung data
</p>
</div>
-<pre><code>## Calculating cell attributes for input UMI matrix</code></pre>
-<pre><code>## Variance stabilizing transformation of count matrix of size 16062 by 606</code></pre>
-<pre><code>## Model formula is y ~ log10_total_counts_endogenous</code></pre>
-<pre><code>## Get Negative Binomial regression parameters per gene</code></pre>
-<pre><code>## Using 2000 genes, 606 cells</code></pre>
-<pre><code>##
- |
- | | 0%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>##
- |
- |======== | 12%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |================ | 25%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>##
- |
- |======================== | 38%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |================================ | 50%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>##
- |
- |========================================= | 62%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>##
- |
- |================================================= | 75%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |========================================================= | 88%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>##
- |
- |=================================================================| 100%</code></pre>
-<pre><code>## Found 1 outliers - those will be ignored in fitting/regularization step</code></pre>
-<pre><code>## Second step: Get residuals using fitted parameters for 16062 genes</code></pre>
-<pre><code>##
- |
- | | 0%
- |
- |= | 2%
- |
- |== | 3%
- |
- |=== | 5%
- |
- |==== | 6%
- |
- |===== | 8%
- |
- |====== | 10%
- |
- |======= | 11%
- |
- |======== | 13%
- |
- |========= | 14%
- |
- |========== | 16%
- |
- |=========== | 17%
- |
- |============ | 19%
- |
- |============= | 21%
- |
- |============== | 22%
- |
- |=============== | 24%
- |
- |================= | 25%
- |
- |================== | 27%
- |
- |=================== | 29%
- |
- |==================== | 30%
- |
- |===================== | 32%
- |
- |====================== | 33%
- |
- |======================= | 35%
- |
- |======================== | 37%
- |
- |========================= | 38%
- |
- |========================== | 40%
- |
- |=========================== | 41%
- |
- |============================ | 43%
- |
- |============================= | 44%
- |
- |============================== | 46%
- |
- |=============================== | 48%
- |
- |================================ | 49%
- |
- |================================= | 51%
- |
- |================================== | 52%
- |
- |=================================== | 54%
- |
- |==================================== | 56%
- |
- |===================================== | 57%
- |
- |====================================== | 59%
- |
- |======================================= | 60%
- |
- |======================================== | 62%
- |
- |========================================= | 63%
- |
- |========================================== | 65%
- |
- |=========================================== | 67%
- |
- |============================================ | 68%
- |
- |============================================= | 70%
- |
- |============================================== | 71%
- |
- |=============================================== | 73%
- |
- |================================================ | 75%
- |
- |================================================== | 76%
- |
- |=================================================== | 78%
- |
- |==================================================== | 79%
- |
- |===================================================== | 81%
- |
- |====================================================== | 83%
- |
- |======================================================= | 84%
- |
- |======================================================== | 86%
- |
- |========================================================= | 87%
- |
- |========================================================== | 89%
- |
- |=========================================================== | 90%
- |
- |============================================================ | 92%
- |
- |============================================================= | 94%
- |
- |============================================================== | 95%
- |
- |=============================================================== | 97%
- |
- |================================================================ | 98%
- |
- |=================================================================| 100%</code></pre>
-<pre><code>## Calculating gene attributes</code></pre>
-<pre><code>## Wall clock passed: Time difference of 16.15881 secs</code></pre>
-<pre><code>## [1] 16062 606</code></pre>
-<pre><code>## [1] 16062 606</code></pre>
-<pre><code>## [1] "y ~ log10_total_counts_endogenous"</code></pre>
<p>Let us look at the NB GLM model parameters estimated by sctransform.</p>
<p><img src="exprs-norm-reads_files/figure-html/norm-ours-sctransform-params-plot-reads-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>We can look at the effect of sctransform’s normalization on three particular
@@ -1741,16 +1266,6 @@ Figure 7.16: PCA plot of the tung reads data after sctransform normalisation (Pe
Figure 7.17: Cell-wise RLE of the tung reads data
</p>
</div>
-<div class="figure" style="text-align: center"><span id="fig:norm-pca-tpm-reads"></span>
-<img src="exprs-norm-reads_files/figure-html/norm-pca-tpm-reads-1.png" alt="PCA plot of the tung data after TPM normalisation" width="90%" />
-<p class="caption">
-Figure 7.18: PCA plot of the tung data after TPM normalisation
-</p>
-</div>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors</code></pre>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors</code></pre>
<pre><code>## R version 3.6.0 (2019-04-26)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 18.04.3 LTS
@@ -1782,53 +1297,44 @@ Figure 7.18: PCA plot of the tung data after TPM normalisation
## [15] scRNA.seq.funcs_0.1.0
##
## loaded via a namespace (and not attached):
-## [1] bitops_1.0-6 bit64_0.9-7
-## [3] httr_1.4.1 progress_1.2.2
-## [5] dynamicTreeCut_1.63-1 backports_1.1.4
-## [7] sctransform_0.2.0 tools_3.6.0
-## [9] R6_2.4.0 irlba_2.3.3
-## [11] hypergeo_1.2-13 vipor_0.4.5
-## [13] DBI_1.0.0 lazyeval_0.2.2
-## [15] colorspace_1.4-1 withr_2.1.2
-## [17] prettyunits_1.0.2 tidyselect_0.2.5
-## [19] gridExtra_2.3 moments_0.14
-## [21] curl_4.2 bit_1.1-14
-## [23] compiler_3.6.0 orthopolynom_1.0-5
-## [25] BiocNeighbors_1.2.0 labeling_0.3
-## [27] bookdown_0.13 scales_1.0.0
-## [29] stringr_1.4.0 digest_0.6.21
-## [31] rmarkdown_1.15 XVector_0.24.0
-## [33] pkgconfig_2.0.3 htmltools_0.3.6
-## [35] limma_3.40.6 highr_0.8
-## [37] rlang_0.4.0 RSQLite_2.1.2
-## [39] DelayedMatrixStats_1.6.1 dplyr_0.8.3
-## [41] RCurl_1.95-4.12 magrittr_1.5
-## [43] BiocSingular_1.0.0 GenomeInfoDbData_1.2.1
-## [45] Matrix_1.2-17 Rcpp_1.0.2
-## [47] ggbeeswarm_0.6.0 munsell_0.5.0
-## [49] viridis_0.5.1 stringi_1.4.3
-## [51] yaml_2.2.0 edgeR_3.26.8
-## [53] MASS_7.3-51.1 zlibbioc_1.30.0
-## [55] Rtsne_0.15 plyr_1.8.4
-## [57] blob_1.2.0 grid_3.6.0
-## [59] listenv_0.7.0 dqrng_0.2.1
-## [61] crayon_1.3.4 contfrac_1.1-12
-## [63] lattice_0.20-38 cowplot_1.0.0
-## [65] hms_0.5.1 locfit_1.5-9.1
-## [67] zeallot_0.1.0 knitr_1.25
-## [69] pillar_1.4.2 igraph_1.2.4.1
-## [71] future.apply_1.3.0 reshape2_1.4.3
-## [73] codetools_0.2-16 biomaRt_2.40.4
-## [75] XML_3.98-1.20 glue_1.3.1
-## [77] evaluate_0.14 deSolve_1.24
-## [79] vctrs_0.2.0 gtable_0.3.0
-## [81] purrr_0.3.2 future_1.14.0
-## [83] assertthat_0.2.1 xfun_0.9
-## [85] rsvd_1.0.2 viridisLite_0.3.0
-## [87] tibble_2.1.3 elliptic_1.4-0
-## [89] memoise_1.1.0 AnnotationDbi_1.46.1
-## [91] beeswarm_0.2.3 globals_0.12.4
-## [93] statmod_1.4.32</code></pre>
+## [1] viridis_0.5.1 dynamicTreeCut_1.63-1
+## [3] edgeR_3.26.8 BiocSingular_1.0.0
+## [5] viridisLite_0.3.0 DelayedMatrixStats_1.6.1
+## [7] elliptic_1.4-0 moments_0.14
+## [9] assertthat_0.2.1 statmod_1.4.32
+## [11] highr_0.8 dqrng_0.2.1
+## [13] GenomeInfoDbData_1.2.1 vipor_0.4.5
+## [15] yaml_2.2.0 globals_0.12.4
+## [17] pillar_1.4.2 lattice_0.20-38
+## [19] glue_1.3.1 limma_3.40.6
+## [21] digest_0.6.21 XVector_0.24.0
+## [23] colorspace_1.4-1 plyr_1.8.4
+## [25] cowplot_1.0.0 htmltools_0.3.6
+## [27] Matrix_1.2-17 pkgconfig_2.0.3
+## [29] listenv_0.7.0 bookdown_0.13
+## [31] zlibbioc_1.30.0 purrr_0.3.2
+## [33] scales_1.0.0 Rtsne_0.15
+## [35] tibble_2.1.3 withr_2.1.2
+## [37] lazyeval_0.2.2 magrittr_1.5
+## [39] crayon_1.3.4 evaluate_0.14
+## [41] future_1.14.0 MASS_7.3-51.1
+## [43] beeswarm_0.2.3 tools_3.6.0
+## [45] stringr_1.4.0 munsell_0.5.0
+## [47] locfit_1.5-9.1 irlba_2.3.3
+## [49] orthopolynom_1.0-5 compiler_3.6.0
+## [51] rsvd_1.0.2 contfrac_1.1-12
+## [53] rlang_0.4.0 grid_3.6.0
+## [55] RCurl_1.95-4.12 BiocNeighbors_1.2.0
+## [57] igraph_1.2.4.1 labeling_0.3
+## [59] bitops_1.0-6 rmarkdown_1.15
+## [61] codetools_0.2-16 hypergeo_1.2-13
+## [63] gtable_0.3.0 deSolve_1.24
+## [65] reshape2_1.4.3 R6_2.4.0
+## [67] gridExtra_2.3 knitr_1.25
+## [69] dplyr_0.8.3 future.apply_1.3.0
+## [71] stringi_1.4.3 ggbeeswarm_0.6.0
+## [73] Rcpp_1.0.2 sctransform_0.2.0
+## [75] tidyselect_0.2.5 xfun_0.9</code></pre>
</div>
<div id="identifying-confounding-factors" class="section level2">
@@ -1845,12 +1351,12 @@ continue using the <code>scater</code> package since it provides a set of method
specifically for quality control of experimental and explanatory variables.
Moreover, we will continue to work with the Blischak data that was used in the
previous chapter.</p>
-<div class="sourceCode" id="cb454"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb454-1" data-line-number="1"><span class="kw">library</span>(scater, <span class="dt">quietly =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb454-2" data-line-number="2"><span class="kw">library</span>(scran)</a>
-<a class="sourceLine" id="cb454-3" data-line-number="3"><span class="kw">options</span>(<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb454-4" data-line-number="4">umi <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/tung/umi.rds"</span>)</a>
-<a class="sourceLine" id="cb454-5" data-line-number="5">umi.qc <-<span class="st"> </span>umi[<span class="kw">rowData</span>(umi)<span class="op">$</span>use, <span class="kw">colData</span>(umi)<span class="op">$</span>use]</a>
-<a class="sourceLine" id="cb454-6" data-line-number="6">endog_genes <-<span class="st"> </span><span class="op">!</span><span class="kw">rowData</span>(umi.qc)<span class="op">$</span>is_feature_control</a></code></pre></div>
+<div class="sourceCode" id="cb343"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb343-1" data-line-number="1"><span class="kw">library</span>(scater, <span class="dt">quietly =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb343-2" data-line-number="2"><span class="kw">library</span>(scran)</a>
+<a class="sourceLine" id="cb343-3" data-line-number="3"><span class="kw">options</span>(<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb343-4" data-line-number="4">umi <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/tung/umi.rds"</span>)</a>
+<a class="sourceLine" id="cb343-5" data-line-number="5">umi.qc <-<span class="st"> </span>umi[<span class="kw">rowData</span>(umi)<span class="op">$</span>use, <span class="kw">colData</span>(umi)<span class="op">$</span>use]</a>
+<a class="sourceLine" id="cb343-6" data-line-number="6">endog_genes <-<span class="st"> </span><span class="op">!</span><span class="kw">rowData</span>(umi.qc)<span class="op">$</span>is_feature_control</a></code></pre></div>
<p>The <code>umi.qc</code> dataset contains filtered cells and genes. Our next step is to
explore technical drivers of variability in the data to inform data
normalisation before downstream analysis.</p>
@@ -1859,25 +1365,21 @@ normalisation before downstream analysis.</p>
<h3><span class="header-section-number">7.4.2</span> Correlations with PCs</h3>
<p>Let’s first look again at the PCA plot of the QCed dataset using the
scran-normalized log2-CPM values:</p>
-<div class="sourceCode" id="cb455"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb455-1" data-line-number="1">qclust <-<span class="st"> </span><span class="kw">quickCluster</span>(umi.qc, <span class="dt">min.size =</span> <span class="dv">30</span>, <span class="dt">use.ranks =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb455-2" data-line-number="2">umi.qc <-<span class="st"> </span><span class="kw">computeSumFactors</span>(umi.qc, <span class="dt">sizes =</span> <span class="dv">15</span>, <span class="dt">clusters =</span> qclust)</a>
-<a class="sourceLine" id="cb455-3" data-line-number="3">umi.qc <-<span class="st"> </span><span class="kw">normalize</span>(umi.qc)</a></code></pre></div>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors</code></pre>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors</code></pre>
-<div class="sourceCode" id="cb458"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb458-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
-<a class="sourceLine" id="cb458-2" data-line-number="2"> <span class="kw">runPCA</span>(umi.qc[endog_genes,],</a>
-<a class="sourceLine" id="cb458-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"logcounts"</span>, <span class="dt">ncomponents =</span> <span class="dv">10</span>), <span class="st">"PCA"</span>)</a>
-<a class="sourceLine" id="cb458-4" data-line-number="4"><span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb458-5" data-line-number="5"> umi.qc,</a>
-<a class="sourceLine" id="cb458-6" data-line-number="6"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb458-7" data-line-number="7"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span></a>
-<a class="sourceLine" id="cb458-8" data-line-number="8">)</a></code></pre></div>
+<div class="sourceCode" id="cb344"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb344-1" data-line-number="1">qclust <-<span class="st"> </span><span class="kw">quickCluster</span>(umi.qc, <span class="dt">min.size =</span> <span class="dv">30</span>, <span class="dt">use.ranks =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb344-2" data-line-number="2">umi.qc <-<span class="st"> </span><span class="kw">computeSumFactors</span>(umi.qc, <span class="dt">sizes =</span> <span class="dv">15</span>, <span class="dt">clusters =</span> qclust)</a>
+<a class="sourceLine" id="cb344-3" data-line-number="3">umi.qc <-<span class="st"> </span><span class="kw">normalize</span>(umi.qc)</a>
+<a class="sourceLine" id="cb344-4" data-line-number="4"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
+<a class="sourceLine" id="cb344-5" data-line-number="5"> <span class="kw">runPCA</span>(umi.qc[endog_genes,],</a>
+<a class="sourceLine" id="cb344-6" data-line-number="6"> <span class="dt">exprs_values =</span> <span class="st">"logcounts"</span>, <span class="dt">ncomponents =</span> <span class="dv">10</span>), <span class="st">"PCA"</span>)</a>
+<a class="sourceLine" id="cb344-7" data-line-number="7"><span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb344-8" data-line-number="8"> umi.qc,</a>
+<a class="sourceLine" id="cb344-9" data-line-number="9"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb344-10" data-line-number="10"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span></a>
+<a class="sourceLine" id="cb344-11" data-line-number="11">)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:confound-pca"></span>
<img src="confounders_files/figure-html/confound-pca-1.png" alt="PCA plot of the tung data" width="90%" />
<p class="caption">
-Figure 7.19: PCA plot of the tung data
+Figure 7.18: PCA plot of the tung data
</p>
</div>
<p><code>scater</code> allows one to identify principal components that correlate with
@@ -1890,90 +1392,11 @@ experimental and QC variables of interest (it ranks principle components by
the ten variables in <code>colData(umi.qc)</code> that are most strongly associated with
the PCs. [We will ignore the <code>sample_id</code> variable: it has a unique value for
each cell, so can explain all the variation for all PCs.]</p>
-<div class="sourceCode" id="cb459"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb459-1" data-line-number="1"><span class="kw">plotExplanatoryPCs</span>(umi.qc)</a></code></pre></div>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'is_cell_control' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_feature_control' with fewer than 2
-## unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_feature_control' with fewer than 2
-## unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_feature_control' with fewer than 2
-## unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_MT' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_MT' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_MT' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_MT' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'use' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'outlier' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf</code></pre>
+<div class="sourceCode" id="cb345"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb345-1" data-line-number="1"><span class="kw">plotExplanatoryPCs</span>(umi.qc)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:confound-find-pcs-total-features"></span>
<img src="confounders_files/figure-html/confound-find-pcs-total-features-1.png" alt="PC correlation with the number of detected genes" width="90%" />
<p class="caption">
-Figure 7.20: PC correlation with the number of detected genes
+Figure 7.19: PC correlation with the number of detected genes
</p>
</div>
<p>Indeed, we can see that <code>PC1</code> can be almost completely explained by <code>batch</code> and
@@ -1993,22 +1416,22 @@ was described <a href="http://biorxiv.org/content/early/2015/12/27/025528">here<
linear model regressing expression values for each gene against just that
variable, and display a density plot of the gene-wise marginal <span class="math inline">\(R^2\)</span> values for
the variables.</p>
-<div class="sourceCode" id="cb475"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb475-1" data-line-number="1"><span class="kw">plotExplanatoryVariables</span>(</a>
-<a class="sourceLine" id="cb475-2" data-line-number="2"> umi.qc,</a>
-<a class="sourceLine" id="cb475-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"logcounts_raw"</span>,</a>
-<a class="sourceLine" id="cb475-4" data-line-number="4"> <span class="dt">variables =</span> <span class="kw">c</span>(</a>
-<a class="sourceLine" id="cb475-5" data-line-number="5"> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb475-6" data-line-number="6"> <span class="st">"total_counts"</span>,</a>
-<a class="sourceLine" id="cb475-7" data-line-number="7"> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb475-8" data-line-number="8"> <span class="st">"individual"</span>,</a>
-<a class="sourceLine" id="cb475-9" data-line-number="9"> <span class="st">"pct_counts_ERCC"</span>,</a>
-<a class="sourceLine" id="cb475-10" data-line-number="10"> <span class="st">"pct_counts_MT"</span></a>
-<a class="sourceLine" id="cb475-11" data-line-number="11"> )</a>
-<a class="sourceLine" id="cb475-12" data-line-number="12">)</a></code></pre></div>
+<div class="sourceCode" id="cb346"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb346-1" data-line-number="1"><span class="kw">plotExplanatoryVariables</span>(</a>
+<a class="sourceLine" id="cb346-2" data-line-number="2"> umi.qc,</a>
+<a class="sourceLine" id="cb346-3" data-line-number="3"> <span class="dt">exprs_values =</span> <span class="st">"logcounts_raw"</span>,</a>
+<a class="sourceLine" id="cb346-4" data-line-number="4"> <span class="dt">variables =</span> <span class="kw">c</span>(</a>
+<a class="sourceLine" id="cb346-5" data-line-number="5"> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb346-6" data-line-number="6"> <span class="st">"total_counts"</span>,</a>
+<a class="sourceLine" id="cb346-7" data-line-number="7"> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb346-8" data-line-number="8"> <span class="st">"individual"</span>,</a>
+<a class="sourceLine" id="cb346-9" data-line-number="9"> <span class="st">"pct_counts_ERCC"</span>,</a>
+<a class="sourceLine" id="cb346-10" data-line-number="10"> <span class="st">"pct_counts_MT"</span></a>
+<a class="sourceLine" id="cb346-11" data-line-number="11"> )</a>
+<a class="sourceLine" id="cb346-12" data-line-number="12">)</a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:confound-find-expl-vars"></span>
<img src="confounders_files/figure-html/confound-find-expl-vars-1.png" alt="Explanatory variables" width="90%" />
<p class="caption">
-Figure 7.21: Explanatory variables
+Figure 7.20: Explanatory variables
</p>
</div>
<p>This analysis indicates that the number of detected genes (again) and also the
@@ -2106,105 +1529,22 @@ please compare your results to ours (next chapter).</p>
</div>
<div id="identifying-confounding-factors-reads" class="section level2">
<h2><span class="header-section-number">7.5</span> Identifying confounding factors (Reads)</h2>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its
-## own size factors</code></pre>
-<pre><code>## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own
-## size factors</code></pre>
<div class="figure" style="text-align: center"><span id="fig:confound-pca-reads"></span>
<img src="confounders-reads_files/figure-html/confound-pca-reads-1.png" alt="PCA plot of the tung data" width="90%" />
<p class="caption">
-Figure 7.22: PCA plot of the tung data
+Figure 7.21: PCA plot of the tung data
</p>
</div>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'is_cell_control' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_feature_control' with fewer than 2
-## unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_feature_control' with fewer than 2
-## unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_feature_control' with fewer than 2
-## unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_ERCC' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_50_features_MT' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_100_features_MT' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_200_features_MT' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'pct_counts_in_top_500_features_MT' with fewer than 2 unique
-## levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'use' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...):
-## ignoring 'outlier' with fewer than 2 unique levels</code></pre>
-<pre><code>## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf
-
-## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning
-## -Inf</code></pre>
<div class="figure" style="text-align: center"><span id="fig:confound-find-pcs-reads"></span>
<img src="confounders-reads_files/figure-html/confound-find-pcs-reads-1.png" alt="PC correlation with the number of detected genes" width="90%" />
<p class="caption">
-Figure 7.23: PC correlation with the number of detected genes
+Figure 7.22: PC correlation with the number of detected genes
</p>
</div>
<div class="figure" style="text-align: center"><span id="fig:confound-find-expl-vars-reads"></span>
<img src="confounders-reads_files/figure-html/confound-find-expl-vars-reads-1.png" alt="Explanatory variables" width="90%" />
<p class="caption">
-Figure 7.24: Explanatory variables
+Figure 7.23: Explanatory variables
</p>
</div>
<pre><code>## R version 3.6.0 (2019-04-26)
@@ -2323,25 +1663,25 @@ systematically between cells and where we expect technical effects to affect a
large number of genes (a very common and reasonable assumption), then such
methods (for example, the RUVs method) can perform well.</p>
<p>We explore both general approaches below.</p>
-<div class="sourceCode" id="cb495"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb495-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
-<a class="sourceLine" id="cb495-2" data-line-number="2"><span class="kw">library</span>(RUVSeq)</a>
-<a class="sourceLine" id="cb495-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb495-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb495-5" data-line-number="5"><span class="kw">library</span>(scran)</a>
-<a class="sourceLine" id="cb495-6" data-line-number="6"><span class="kw">library</span>(kBET)</a>
-<a class="sourceLine" id="cb495-7" data-line-number="7"><span class="kw">library</span>(sva) <span class="co"># Combat</span></a>
-<a class="sourceLine" id="cb495-8" data-line-number="8"><span class="kw">library</span>(edgeR)</a>
-<a class="sourceLine" id="cb495-9" data-line-number="9"><span class="kw">library</span>(harmony)</a>
-<a class="sourceLine" id="cb495-10" data-line-number="10"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a>
-<a class="sourceLine" id="cb495-11" data-line-number="11"><span class="kw">options</span>(<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb495-12" data-line-number="12">umi <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/tung/umi.rds"</span>)</a>
-<a class="sourceLine" id="cb495-13" data-line-number="13">umi.qc <-<span class="st"> </span>umi[<span class="kw">rowData</span>(umi)<span class="op">$</span>use, <span class="kw">colData</span>(umi)<span class="op">$</span>use]</a>
-<a class="sourceLine" id="cb495-14" data-line-number="14">endog_genes <-<span class="st"> </span><span class="op">!</span><span class="kw">rowData</span>(umi.qc)<span class="op">$</span>is_feature_control</a>
-<a class="sourceLine" id="cb495-15" data-line-number="15">erccs <-<span class="st"> </span><span class="kw">rowData</span>(umi.qc)<span class="op">$</span>is_feature_control</a>
-<a class="sourceLine" id="cb495-16" data-line-number="16"><span class="co">## Apply scran sum factor normalization</span></a>
-<a class="sourceLine" id="cb495-17" data-line-number="17">qclust <-<span class="st"> </span><span class="kw">quickCluster</span>(umi.qc, <span class="dt">min.size =</span> <span class="dv">30</span>, <span class="dt">use.ranks =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb495-18" data-line-number="18">umi.qc <-<span class="st"> </span><span class="kw">computeSumFactors</span>(umi.qc, <span class="dt">sizes =</span> <span class="dv">15</span>, <span class="dt">clusters =</span> qclust)</a>
-<a class="sourceLine" id="cb495-19" data-line-number="19">umi.qc <-<span class="st"> </span><span class="kw">normalize</span>(umi.qc)</a></code></pre></div>
+<div class="sourceCode" id="cb349"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb349-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
+<a class="sourceLine" id="cb349-2" data-line-number="2"><span class="kw">library</span>(RUVSeq)</a>
+<a class="sourceLine" id="cb349-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb349-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb349-5" data-line-number="5"><span class="kw">library</span>(scran)</a>
+<a class="sourceLine" id="cb349-6" data-line-number="6"><span class="kw">library</span>(kBET)</a>
+<a class="sourceLine" id="cb349-7" data-line-number="7"><span class="kw">library</span>(sva) <span class="co"># Combat</span></a>
+<a class="sourceLine" id="cb349-8" data-line-number="8"><span class="kw">library</span>(edgeR)</a>
+<a class="sourceLine" id="cb349-9" data-line-number="9"><span class="kw">library</span>(harmony)</a>
+<a class="sourceLine" id="cb349-10" data-line-number="10"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a>
+<a class="sourceLine" id="cb349-11" data-line-number="11"><span class="kw">options</span>(<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb349-12" data-line-number="12">umi <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/tung/umi.rds"</span>)</a>
+<a class="sourceLine" id="cb349-13" data-line-number="13">umi.qc <-<span class="st"> </span>umi[<span class="kw">rowData</span>(umi)<span class="op">$</span>use, <span class="kw">colData</span>(umi)<span class="op">$</span>use]</a>
+<a class="sourceLine" id="cb349-14" data-line-number="14">endog_genes <-<span class="st"> </span><span class="op">!</span><span class="kw">rowData</span>(umi.qc)<span class="op">$</span>is_feature_control</a>
+<a class="sourceLine" id="cb349-15" data-line-number="15">erccs <-<span class="st"> </span><span class="kw">rowData</span>(umi.qc)<span class="op">$</span>is_feature_control</a>
+<a class="sourceLine" id="cb349-16" data-line-number="16"><span class="co">## Apply scran sum factor normalization</span></a>
+<a class="sourceLine" id="cb349-17" data-line-number="17">qclust <-<span class="st"> </span><span class="kw">quickCluster</span>(umi.qc, <span class="dt">min.size =</span> <span class="dv">30</span>, <span class="dt">use.ranks =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb349-18" data-line-number="18">umi.qc <-<span class="st"> </span><span class="kw">computeSumFactors</span>(umi.qc, <span class="dt">sizes =</span> <span class="dv">15</span>, <span class="dt">clusters =</span> qclust)</a>
+<a class="sourceLine" id="cb349-19" data-line-number="19">umi.qc <-<span class="st"> </span><span class="kw">normalize</span>(umi.qc)</a></code></pre></div>
</div>
</div>
<div id="linear-models" class="section level3">
@@ -2373,21 +1713,21 @@ apply empirical Bayes squeezing of variance estimate to improve inference.</p>
residuals (this may be reasonable for normalized log-counts in many cases; but
it may not be—debate continues in the literature), then we can apply <code>limma</code>
to regress out (known) unwanted sources of variation as follows.</p>
-<div class="sourceCode" id="cb496"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb496-1" data-line-number="1"><span class="co">## fit a model just accounting for batch</span></a>
-<a class="sourceLine" id="cb496-2" data-line-number="2">lm_design_batch <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="dv">0</span> <span class="op">+</span><span class="st"> </span>batch, <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc))</a>
-<a class="sourceLine" id="cb496-3" data-line-number="3">fit_lm_batch <-<span class="st"> </span><span class="kw">lmFit</span>(<span class="kw">logcounts</span>(umi.qc), lm_design_batch)</a>
-<a class="sourceLine" id="cb496-4" data-line-number="4">resids_lm_batch <-<span class="st"> </span><span class="kw">residuals</span>(fit_lm_batch, <span class="kw">logcounts</span>(umi.qc))</a>
-<a class="sourceLine" id="cb496-5" data-line-number="5"><span class="kw">assay</span>(umi.qc, <span class="st">"lm_batch"</span>) <-<span class="st"> </span>resids_lm_batch</a>
-<a class="sourceLine" id="cb496-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb496-7" data-line-number="7"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA_lm_batch"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
-<a class="sourceLine" id="cb496-8" data-line-number="8"> <span class="kw">runPCA</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"lm_batch"</span>), <span class="st">"PCA"</span>)</a>
-<a class="sourceLine" id="cb496-9" data-line-number="9"></a>
-<a class="sourceLine" id="cb496-10" data-line-number="10"><span class="kw">plotReducedDim</span>(umi.qc, <span class="dt">use_dimred =</span> <span class="st">"PCA_lm_batch"</span>,</a>
-<a class="sourceLine" id="cb496-11" data-line-number="11"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>, </a>
-<a class="sourceLine" id="cb496-12" data-line-number="12"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb496-13" data-line-number="13"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb496-14" data-line-number="14"> ) <span class="op">+</span></a>
-<a class="sourceLine" id="cb496-15" data-line-number="15"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"LM - regress out batch"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb350"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb350-1" data-line-number="1"><span class="co">## fit a model just accounting for batch</span></a>
+<a class="sourceLine" id="cb350-2" data-line-number="2">lm_design_batch <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="dv">0</span> <span class="op">+</span><span class="st"> </span>batch, <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc))</a>
+<a class="sourceLine" id="cb350-3" data-line-number="3">fit_lm_batch <-<span class="st"> </span><span class="kw">lmFit</span>(<span class="kw">logcounts</span>(umi.qc), lm_design_batch)</a>
+<a class="sourceLine" id="cb350-4" data-line-number="4">resids_lm_batch <-<span class="st"> </span><span class="kw">residuals</span>(fit_lm_batch, <span class="kw">logcounts</span>(umi.qc))</a>
+<a class="sourceLine" id="cb350-5" data-line-number="5"><span class="kw">assay</span>(umi.qc, <span class="st">"lm_batch"</span>) <-<span class="st"> </span>resids_lm_batch</a>
+<a class="sourceLine" id="cb350-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb350-7" data-line-number="7"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA_lm_batch"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
+<a class="sourceLine" id="cb350-8" data-line-number="8"> <span class="kw">runPCA</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"lm_batch"</span>), <span class="st">"PCA"</span>)</a>
+<a class="sourceLine" id="cb350-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb350-10" data-line-number="10"><span class="kw">plotReducedDim</span>(umi.qc, <span class="dt">use_dimred =</span> <span class="st">"PCA_lm_batch"</span>,</a>
+<a class="sourceLine" id="cb350-11" data-line-number="11"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>, </a>
+<a class="sourceLine" id="cb350-12" data-line-number="12"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb350-13" data-line-number="13"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb350-14" data-line-number="14"> ) <span class="op">+</span></a>
+<a class="sourceLine" id="cb350-15" data-line-number="15"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"LM - regress out batch"</span>)</a></code></pre></div>
<p>Two problems are immediately apparent with the approach above. First, batch is
nested within individual, so simply regressing out batch as we have done above
also regresses out differences between individuals that we would like to
@@ -2401,43 +1741,49 @@ the intercept coefficient to zero).]</p>
<p><strong>Exercise 2</strong></p>
<p>Perform LM correction for each individual separately. Store the final corrected
matrix in the <code>lm_batch_indi</code> slot.</p>
-<div class="sourceCode" id="cb497"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb497-1" data-line-number="1"><span class="co">## define cellular detection rate (cdr), i.e. proportion of genes expressed in each cell</span></a>
-<a class="sourceLine" id="cb497-2" data-line-number="2">umi.qc<span class="op">$</span>cdr <-<span class="st"> </span>umi.qc<span class="op">$</span>total_features_by_counts_endogenous <span class="op">/</span><span class="st"> </span><span class="kw">nrow</span>(umi.qc)</a>
-<a class="sourceLine" id="cb497-3" data-line-number="3"><span class="co">## fit a model just accounting for batch by individual</span></a>
-<a class="sourceLine" id="cb497-4" data-line-number="4">lm_design_batch1 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span>batch <span class="op">+</span><span class="st"> </span>cdr,</a>
-<a class="sourceLine" id="cb497-5" data-line-number="5"> <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc)[umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19098"</span>,])</a>
-<a class="sourceLine" id="cb497-6" data-line-number="6">fit_indi1 <-<span class="st"> </span><span class="kw">lmfit</span>(<span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19098"</span>], lm_design_batch1)</a>
-<a class="sourceLine" id="cb497-7" data-line-number="7">fit_indi1<span class="op">$</span>coefficients[,<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co">## replace intercept with 0 to preserve reference batch</span></a>
-<a class="sourceLine" id="cb497-8" data-line-number="8">resids_lm_batch1 <-<span class="st"> </span><span class="kw">residuals</span>(fit_indi1, <span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19098"</span>])</a>
-<a class="sourceLine" id="cb497-9" data-line-number="9"></a>
-<a class="sourceLine" id="cb497-10" data-line-number="10">lm_design_batch2 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span>batch <span class="op">+</span><span class="st"> </span>cdr,</a>
-<a class="sourceLine" id="cb497-11" data-line-number="11"> <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc)[umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19101"</span>,])</a>
-<a class="sourceLine" id="cb497-12" data-line-number="12">fit_indi2 <-<span class="st"> </span><span class="kw">lmfit</span>(<span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19101"</span>], lm_design_batch2)</a>
-<a class="sourceLine" id="cb497-13" data-line-number="13">fit_indi2<span class="op">$</span>coefficients[,<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co">## replace intercept with 0 to preserve reference batch</span></a>
-<a class="sourceLine" id="cb497-14" data-line-number="14">resids_lm_batch2 <-<span class="st"> </span><span class="kw">residuals</span>(fit_indi2, <span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19101"</span>])</a>
-<a class="sourceLine" id="cb497-15" data-line-number="15"></a>
-<a class="sourceLine" id="cb497-16" data-line-number="16">lm_design_batch3 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span>batch <span class="op">+</span><span class="st"> </span>cdr,</a>
-<a class="sourceLine" id="cb497-17" data-line-number="17"> <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc)[umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19239"</span>,])</a>
-<a class="sourceLine" id="cb497-18" data-line-number="18">fit_indi3 <-<span class="st"> </span><span class="kw">lmfit</span>(<span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19239"</span>], lm_design_batch3)</a>
-<a class="sourceLine" id="cb497-19" data-line-number="19">fit_indi3<span class="op">$</span>coefficients[,<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co">## replace intercept with 0 to preserve reference batch</span></a>
-<a class="sourceLine" id="cb497-20" data-line-number="20">resids_lm_batch3 <-<span class="st"> </span><span class="kw">residuals</span>(fit_indi3, <span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19239"</span>])</a>
-<a class="sourceLine" id="cb497-21" data-line-number="21"></a>
-<a class="sourceLine" id="cb497-22" data-line-number="22"><span class="kw">identical</span>(<span class="kw">colnames</span>(umi.qc), <span class="kw">colnames</span>(<span class="kw">cbind</span>(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3)))</a>
-<a class="sourceLine" id="cb497-23" data-line-number="23"><span class="kw">assay</span>(umi.qc, <span class="st">"lm_batch_indi"</span>) <-<span class="st"> </span><span class="kw">cbind</span>(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3)</a>
-<a class="sourceLine" id="cb497-24" data-line-number="24"></a>
-<a class="sourceLine" id="cb497-25" data-line-number="25"><span class="kw">reduceddim</span>(umi.qc, <span class="st">"pca_lm_batch_indi"</span>) <-<span class="st"> </span><span class="kw">reduceddim</span>(</a>
-<a class="sourceLine" id="cb497-26" data-line-number="26"> <span class="kw">runpca</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"lm_batch_indi"</span>), <span class="st">"pca"</span>)</a>
-<a class="sourceLine" id="cb497-27" data-line-number="27"></a>
-<a class="sourceLine" id="cb497-28" data-line-number="28"><span class="kw">plotreduceddim</span>(umi.qc, <span class="dt">use_dimred =</span> <span class="st">"pca_lm_batch_indi"</span>,</a>
-<a class="sourceLine" id="cb497-29" data-line-number="29"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>, </a>
-<a class="sourceLine" id="cb497-30" data-line-number="30"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb497-31" data-line-number="31"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb497-32" data-line-number="32"> ) <span class="op">+</span></a>
-<a class="sourceLine" id="cb497-33" data-line-number="33"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"lm - regress out batch within individuals separately"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb351"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb351-1" data-line-number="1"><span class="co">## define cellular detection rate (cdr), i.e. proportion of genes expressed in each cell</span></a>
+<a class="sourceLine" id="cb351-2" data-line-number="2">umi.qc<span class="op">$</span>cdr <-<span class="st"> </span>umi.qc<span class="op">$</span>total_features_by_counts_endogenous <span class="op">/</span><span class="st"> </span><span class="kw">nrow</span>(umi.qc)</a>
+<a class="sourceLine" id="cb351-3" data-line-number="3"><span class="co">## fit a model just accounting for batch by individual</span></a>
+<a class="sourceLine" id="cb351-4" data-line-number="4">lm_design_batch1 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span>batch <span class="op">+</span><span class="st"> </span>cdr,</a>
+<a class="sourceLine" id="cb351-5" data-line-number="5"> <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc)[umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19098"</span>,])</a>
+<a class="sourceLine" id="cb351-6" data-line-number="6">fit_indi1 <-<span class="st"> </span><span class="kw">lmfit</span>(<span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19098"</span>], lm_design_batch1)</a>
+<a class="sourceLine" id="cb351-7" data-line-number="7">fit_indi1<span class="op">$</span>coefficients[,<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co">## replace intercept with 0 to preserve reference batch</span></a>
+<a class="sourceLine" id="cb351-8" data-line-number="8">resids_lm_batch1 <-<span class="st"> </span><span class="kw">residuals</span>(fit_indi1, <span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19098"</span>])</a>
+<a class="sourceLine" id="cb351-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb351-10" data-line-number="10">lm_design_batch2 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span>batch <span class="op">+</span><span class="st"> </span>cdr,</a>
+<a class="sourceLine" id="cb351-11" data-line-number="11"> <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc)[umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19101"</span>,])</a>
+<a class="sourceLine" id="cb351-12" data-line-number="12">fit_indi2 <-<span class="st"> </span><span class="kw">lmfit</span>(<span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19101"</span>], lm_design_batch2)</a>
+<a class="sourceLine" id="cb351-13" data-line-number="13">fit_indi2<span class="op">$</span>coefficients[,<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co">## replace intercept with 0 to preserve reference batch</span></a>
+<a class="sourceLine" id="cb351-14" data-line-number="14">resids_lm_batch2 <-<span class="st"> </span><span class="kw">residuals</span>(fit_indi2, <span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19101"</span>])</a>
+<a class="sourceLine" id="cb351-15" data-line-number="15"></a>
+<a class="sourceLine" id="cb351-16" data-line-number="16">lm_design_batch3 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span>batch <span class="op">+</span><span class="st"> </span>cdr,</a>
+<a class="sourceLine" id="cb351-17" data-line-number="17"> <span class="dt">data =</span> <span class="kw">colData</span>(umi.qc)[umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19239"</span>,])</a>
+<a class="sourceLine" id="cb351-18" data-line-number="18">fit_indi3 <-<span class="st"> </span><span class="kw">lmfit</span>(<span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19239"</span>], lm_design_batch3)</a>
+<a class="sourceLine" id="cb351-19" data-line-number="19">fit_indi3<span class="op">$</span>coefficients[,<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co">## replace intercept with 0 to preserve reference batch</span></a>
+<a class="sourceLine" id="cb351-20" data-line-number="20">resids_lm_batch3 <-<span class="st"> </span><span class="kw">residuals</span>(fit_indi3, <span class="kw">logcounts</span>(umi.qc)[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "na19239"</span>])</a>
+<a class="sourceLine" id="cb351-21" data-line-number="21"></a>
+<a class="sourceLine" id="cb351-22" data-line-number="22"><span class="kw">identical</span>(<span class="kw">colnames</span>(umi.qc), <span class="kw">colnames</span>(<span class="kw">cbind</span>(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3)))</a>
+<a class="sourceLine" id="cb351-23" data-line-number="23"><span class="kw">assay</span>(umi.qc, <span class="st">"lm_batch_indi"</span>) <-<span class="st"> </span><span class="kw">cbind</span>(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3)</a>
+<a class="sourceLine" id="cb351-24" data-line-number="24"></a>
+<a class="sourceLine" id="cb351-25" data-line-number="25"><span class="kw">reduceddim</span>(umi.qc, <span class="st">"pca_lm_batch_indi"</span>) <-<span class="st"> </span><span class="kw">reduceddim</span>(</a>
+<a class="sourceLine" id="cb351-26" data-line-number="26"> <span class="kw">runpca</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"lm_batch_indi"</span>), <span class="st">"pca"</span>)</a>
+<a class="sourceLine" id="cb351-27" data-line-number="27"></a>
+<a class="sourceLine" id="cb351-28" data-line-number="28"><span class="kw">plotreduceddim</span>(umi.qc, <span class="dt">use_dimred =</span> <span class="st">"pca_lm_batch_indi"</span>,</a>
+<a class="sourceLine" id="cb351-29" data-line-number="29"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>, </a>
+<a class="sourceLine" id="cb351-30" data-line-number="30"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb351-31" data-line-number="31"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb351-32" data-line-number="32"> ) <span class="op">+</span></a>
+<a class="sourceLine" id="cb351-33" data-line-number="33"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"lm - regress out batch within individuals separately"</span>)</a></code></pre></div>
<p>What do you think of the results of this approach?</p>
</div>
<div id="negative-binomial-generalized-linear-models" class="section level4">
<h4><span class="header-section-number">7.6.2.2</span> Negative binomial generalized linear models</h4>
+<p><strong>Advanced exercise</strong></p>
+<p>Can you use the <code>edgeR</code> package to use a negative binomial generalized linear
+model to regress out batch effects?</p>
+<p><em>Hint</em>: follow a similar approach to that taken in the <code>limma</code> example above.
+You will need to use the <code>DGEList()</code>, <code>estimateDisp()</code>, and <code>glmQLFit()</code>
+functions.</p>
</div>
</div>
<div id="sctransform-2" class="section level3">
@@ -2452,3770 +1798,30 @@ nested within individual, which means that we cannot directly remove batch
effects without removing differences between individuals. However, here we will
demonstrate how you <em>would</em> try to remove batch effects with <code>sctransform</code> for a
kinder experimental design.</p>
-<div class="sourceCode" id="cb498"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb498-1" data-line-number="1">umi_sparse <-<span class="st"> </span><span class="kw">as</span>(<span class="kw">counts</span>(umi.qc), <span class="st">"dgCMatrix"</span>)</a>
-<a class="sourceLine" id="cb498-2" data-line-number="2"><span class="co">### Genes expressed in at least 5 cells will be kept</span></a>
-<a class="sourceLine" id="cb498-3" data-line-number="3">sctnorm_data <-<span class="st"> </span>sctransform<span class="op">::</span><span class="kw">vst</span>(<span class="dt">umi =</span> umi_sparse, <span class="dt">min_cells =</span> <span class="dv">1</span>,</a>
-<a class="sourceLine" id="cb498-4" data-line-number="4"> <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(umi.qc)),</a>
-<a class="sourceLine" id="cb498-5" data-line-number="5"> <span class="dt">latent_var =</span> <span class="kw">c</span>(<span class="st">"log10_total_counts_endogenous"</span>, <span class="st">"batch"</span>))</a></code></pre></div>
-<pre><code>## Calculating cell attributes for input UMI matrix</code></pre>
-<pre><code>## Variance stabilizing transformation of count matrix of size 14066 by 657</code></pre>
-<pre><code>## Model formula is y ~ log10_total_counts_endogenous + batch</code></pre>
-<pre><code>## Get Negative Binomial regression parameters per gene</code></pre>
-<pre><code>## Using 2000 genes, 657 cells</code></pre>
-<pre><code>##
- |
- | | 0%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>## Warning in sqrt(1/i): NaNs produced</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |======== | 12%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |================ | 25%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |======================== | 38%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |================================ | 50%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |========================================= | 62%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |================================================= | 75%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |========================================================= | 88%</code></pre>
-<pre><code>## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached</code></pre>
-<pre><code>##
- |
- |=================================================================| 100%</code></pre>
-<pre><code>## Found 123 outliers - those will be ignored in fitting/regularization step</code></pre>
-<pre><code>## Second step: Get residuals using fitted parameters for 14066 genes</code></pre>
-<pre><code>##
- |
- | | 0%
- |
- |= | 2%
- |
- |== | 4%
- |
- |==== | 5%
- |
- |===== | 7%
- |
- |====== | 9%
- |
- |======= | 11%
- |
- |======== | 13%
- |
- |========= | 15%
- |
- |=========== | 16%
- |
- |============ | 18%
- |
- |============= | 20%
- |
- |============== | 22%
- |
- |=============== | 24%
- |
- |================= | 25%
- |
- |================== | 27%
- |
- |=================== | 29%
- |
- |==================== | 31%
- |
- |===================== | 33%
- |
- |====================== | 35%
- |
- |======================== | 36%
- |
- |========================= | 38%
- |
- |========================== | 40%
- |
- |=========================== | 42%
- |
- |============================ | 44%
- |
- |============================== | 45%
- |
- |=============================== | 47%
- |
- |================================ | 49%
- |
- |================================= | 51%
- |
- |================================== | 53%
- |
- |=================================== | 55%
- |
- |===================================== | 56%
- |
- |====================================== | 58%
- |
- |======================================= | 60%
- |
- |======================================== | 62%
- |
- |========================================= | 64%
- |
- |=========================================== | 65%
- |
- |============================================ | 67%
- |
- |============================================= | 69%
- |
- |============================================== | 71%
- |
- |=============================================== | 73%
- |
- |================================================ | 75%
- |
- |================================================== | 76%
- |
- |=================================================== | 78%
- |
- |==================================================== | 80%
- |
- |===================================================== | 82%
- |
- |====================================================== | 84%
- |
- |======================================================== | 85%
- |
- |========================================================= | 87%
- |
- |========================================================== | 89%
- |
- |=========================================================== | 91%
- |
- |============================================================ | 93%
- |
- |============================================================= | 95%
- |
- |=============================================================== | 96%
- |
- |================================================================ | 98%
- |
- |=================================================================| 100%</code></pre>
-<pre><code>## Calculating gene attributes</code></pre>
-<pre><code>## Wall clock passed: Time difference of 28.12818 secs</code></pre>
-<div class="sourceCode" id="cb530"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb530-1" data-line-number="1"><span class="co">## Pearson residuals, or deviance residuals</span></a>
-<a class="sourceLine" id="cb530-2" data-line-number="2">sctnorm_data<span class="op">$</span>model_str</a></code></pre></div>
-<pre><code>## [1] "y ~ log10_total_counts_endogenous + batch"</code></pre>
-<div class="sourceCode" id="cb532"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb532-1" data-line-number="1"><span class="kw">assay</span>(umi.qc, <span class="st">"sctrans_norm"</span>) <-<span class="st"> </span>sctnorm_data<span class="op">$</span>y</a></code></pre></div>
+<div class="sourceCode" id="cb352"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb352-1" data-line-number="1">umi_sparse <-<span class="st"> </span><span class="kw">as</span>(<span class="kw">counts</span>(umi.qc), <span class="st">"dgCMatrix"</span>)</a>
+<a class="sourceLine" id="cb352-2" data-line-number="2"><span class="co">### Genes expressed in at least 5 cells will be kept</span></a>
+<a class="sourceLine" id="cb352-3" data-line-number="3">sctnorm_data <-<span class="st"> </span>sctransform<span class="op">::</span><span class="kw">vst</span>(<span class="dt">umi =</span> umi_sparse, <span class="dt">min_cells =</span> <span class="dv">1</span>,</a>
+<a class="sourceLine" id="cb352-4" data-line-number="4"> <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(umi.qc)),</a>
+<a class="sourceLine" id="cb352-5" data-line-number="5"> <span class="dt">latent_var =</span> <span class="kw">c</span>(<span class="st">"log10_total_counts_endogenous"</span>, <span class="st">"batch"</span>))</a>
+<a class="sourceLine" id="cb352-6" data-line-number="6"><span class="co">## Pearson residuals, or deviance residuals</span></a>
+<a class="sourceLine" id="cb352-7" data-line-number="7">sctnorm_data<span class="op">$</span>model_str</a>
+<a class="sourceLine" id="cb352-8" data-line-number="8"><span class="kw">assay</span>(umi.qc, <span class="st">"sctrans_norm"</span>) <-<span class="st"> </span>sctnorm_data<span class="op">$</span>y</a></code></pre></div>
<p>Let us look at the NB GLM model parameters estimated by sctransform.</p>
-<div class="sourceCode" id="cb533"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb533-1" data-line-number="1"><span class="co">#sce$log10_total_counts</span></a>
-<a class="sourceLine" id="cb533-2" data-line-number="2"><span class="co">## Matrix of estimated model parameters per gene (theta and regression coefficients)</span></a>
-<a class="sourceLine" id="cb533-3" data-line-number="3">sctransform<span class="op">::</span><span class="kw">plot_model_pars</span>(sctnorm_data)</a></code></pre></div>
+<div class="sourceCode" id="cb353"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb353-1" data-line-number="1"><span class="co">#sce$log10_total_counts</span></a>
+<a class="sourceLine" id="cb353-2" data-line-number="2"><span class="co">## Matrix of estimated model parameters per gene (theta and regression coefficients)</span></a>
+<a class="sourceLine" id="cb353-3" data-line-number="3">sctransform<span class="op">::</span><span class="kw">plot_model_pars</span>(sctnorm_data)</a></code></pre></div>
<p><img src="remove-conf_files/figure-html/sctransform-params-plot-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Do these parameters and the regularization look sensible to you? Any concerns?</p>
-<div class="sourceCode" id="cb534"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb534-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA_sctrans_norm"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
-<a class="sourceLine" id="cb534-2" data-line-number="2"> <span class="kw">runPCA</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"sctrans_norm"</span>)</a>
-<a class="sourceLine" id="cb534-3" data-line-number="3">)</a>
-<a class="sourceLine" id="cb534-4" data-line-number="4"><span class="kw">plotReducedDim</span>(</a>
-<a class="sourceLine" id="cb534-5" data-line-number="5"> umi.qc,</a>
-<a class="sourceLine" id="cb534-6" data-line-number="6"> <span class="dt">use_dimred =</span> <span class="st">"PCA_sctrans_norm"</span>,</a>
-<a class="sourceLine" id="cb534-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb534-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb534-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb534-10" data-line-number="10">) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"PCA plot: sctransform normalization"</span>) </a></code></pre></div>
+<div class="sourceCode" id="cb354"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb354-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"PCA_sctrans_norm"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(</a>
+<a class="sourceLine" id="cb354-2" data-line-number="2"> <span class="kw">runPCA</span>(umi.qc[endog_genes, ], <span class="dt">exprs_values =</span> <span class="st">"sctrans_norm"</span>)</a>
+<a class="sourceLine" id="cb354-3" data-line-number="3">)</a>
+<a class="sourceLine" id="cb354-4" data-line-number="4"><span class="kw">plotReducedDim</span>(</a>
+<a class="sourceLine" id="cb354-5" data-line-number="5"> umi.qc,</a>
+<a class="sourceLine" id="cb354-6" data-line-number="6"> <span class="dt">use_dimred =</span> <span class="st">"PCA_sctrans_norm"</span>,</a>
+<a class="sourceLine" id="cb354-7" data-line-number="7"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb354-8" data-line-number="8"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb354-9" data-line-number="9"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb354-10" data-line-number="10">) <span class="op">+</span><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"PCA plot: sctransform normalization"</span>) </a></code></pre></div>
<div class="figure" style="text-align: center"><span id="fig:norm-pca-sctransform"></span>
<img src="remove-conf_files/figure-html/norm-pca-sctransform-1.png" alt="PCA plot of the tung data after sctransform normalisation (Pearson residuals)." width="90%" />
<p class="caption">
@@ -6261,14 +1867,14 @@ represent normalized counts-per-million and then apply a log2 transformation. We
run <em>RUVg</em> twice, with <span class="math inline">\(k=1\)</span> and <span class="math inline">\(k=10\)</span> so that we can compare the effect of
estimating different number of hidden factors to capture unwanted variation in
the data.</p>
-<div class="sourceCode" id="cb535"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb535-1" data-line-number="1">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(umi.qc), erccs, <span class="dt">k =</span> <span class="dv">1</span>)</a>
-<a class="sourceLine" id="cb535-2" data-line-number="2"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvg1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb535-3" data-line-number="3"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb535-4" data-line-number="4">)</a>
-<a class="sourceLine" id="cb535-5" data-line-number="5">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(umi.qc), erccs, <span class="dt">k =</span> <span class="dv">10</span>)</a>
-<a class="sourceLine" id="cb535-6" data-line-number="6"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvg10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb535-7" data-line-number="7"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb535-8" data-line-number="8">)</a></code></pre></div>
+<div class="sourceCode" id="cb355"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb355-1" data-line-number="1">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(umi.qc), erccs, <span class="dt">k =</span> <span class="dv">1</span>)</a>
+<a class="sourceLine" id="cb355-2" data-line-number="2"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvg1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb355-3" data-line-number="3"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb355-4" data-line-number="4">)</a>
+<a class="sourceLine" id="cb355-5" data-line-number="5">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(umi.qc), erccs, <span class="dt">k =</span> <span class="dv">10</span>)</a>
+<a class="sourceLine" id="cb355-6" data-line-number="6"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvg10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb355-7" data-line-number="7"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb355-8" data-line-number="8">)</a></code></pre></div>
<p>When we assess the effectiveness of various batch correction methods below, you
can discuss whether or not you think using ERCCs as negative control genes for a
method like <em>RUVg</em> is advisable (in this dataset and in general).</p>
@@ -6281,22 +1887,22 @@ the covariates of interest are constant.</p>
represent normalized counts-per-million and then apply a log2 transformation.
Again, we run the method with <span class="math inline">\(k=1\)</span> and <span class="math inline">\(k=10\)</span> so that we can compare the effect
of estimating different number of hidden factors.</p>
-<div class="sourceCode" id="cb536"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb536-1" data-line-number="1">scIdx <-<span class="st"> </span><span class="kw">matrix</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dt">ncol =</span> <span class="kw">max</span>(<span class="kw">table</span>(umi.qc<span class="op">$</span>individual)), <span class="dt">nrow =</span> <span class="dv">3</span>)</a>
-<a class="sourceLine" id="cb536-2" data-line-number="2">tmp <-<span class="st"> </span><span class="kw">which</span>(umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>)</a>
-<a class="sourceLine" id="cb536-3" data-line-number="3">scIdx[<span class="dv">1</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
-<a class="sourceLine" id="cb536-4" data-line-number="4">tmp <-<span class="st"> </span><span class="kw">which</span>(umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>)</a>
-<a class="sourceLine" id="cb536-5" data-line-number="5">scIdx[<span class="dv">2</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
-<a class="sourceLine" id="cb536-6" data-line-number="6">tmp <-<span class="st"> </span><span class="kw">which</span>(umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>)</a>
-<a class="sourceLine" id="cb536-7" data-line-number="7">scIdx[<span class="dv">3</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
-<a class="sourceLine" id="cb536-8" data-line-number="8">cIdx <-<span class="st"> </span><span class="kw">rownames</span>(umi.qc)</a>
-<a class="sourceLine" id="cb536-9" data-line-number="9">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(umi.qc), cIdx, <span class="dt">k =</span> <span class="dv">1</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb536-10" data-line-number="10"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvs1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb536-11" data-line-number="11"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb536-12" data-line-number="12">)</a>
-<a class="sourceLine" id="cb536-13" data-line-number="13">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(umi.qc), cIdx, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb536-14" data-line-number="14"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvs10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb536-15" data-line-number="15"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb536-16" data-line-number="16">)</a></code></pre></div>
+<div class="sourceCode" id="cb356"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb356-1" data-line-number="1">scIdx <-<span class="st"> </span><span class="kw">matrix</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dt">ncol =</span> <span class="kw">max</span>(<span class="kw">table</span>(umi.qc<span class="op">$</span>individual)), <span class="dt">nrow =</span> <span class="dv">3</span>)</a>
+<a class="sourceLine" id="cb356-2" data-line-number="2">tmp <-<span class="st"> </span><span class="kw">which</span>(umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>)</a>
+<a class="sourceLine" id="cb356-3" data-line-number="3">scIdx[<span class="dv">1</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
+<a class="sourceLine" id="cb356-4" data-line-number="4">tmp <-<span class="st"> </span><span class="kw">which</span>(umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>)</a>
+<a class="sourceLine" id="cb356-5" data-line-number="5">scIdx[<span class="dv">2</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
+<a class="sourceLine" id="cb356-6" data-line-number="6">tmp <-<span class="st"> </span><span class="kw">which</span>(umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>)</a>
+<a class="sourceLine" id="cb356-7" data-line-number="7">scIdx[<span class="dv">3</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
+<a class="sourceLine" id="cb356-8" data-line-number="8">cIdx <-<span class="st"> </span><span class="kw">rownames</span>(umi.qc)</a>
+<a class="sourceLine" id="cb356-9" data-line-number="9">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(umi.qc), cIdx, <span class="dt">k =</span> <span class="dv">1</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb356-10" data-line-number="10"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvs1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb356-11" data-line-number="11"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb356-12" data-line-number="12">)</a>
+<a class="sourceLine" id="cb356-13" data-line-number="13">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(umi.qc), cIdx, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb356-14" data-line-number="14"><span class="kw">assay</span>(umi.qc, <span class="st">"ruvs10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb356-15" data-line-number="15"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb356-16" data-line-number="16">)</a></code></pre></div>
</div>
</div>
<div id="combat" class="section level3">
@@ -6306,21 +1912,21 @@ eliminate batch effects while preserving biological effects by specifying the
biological effects using the <code>mod</code> parameter. However the <code>Tung</code> data contains
multiple experimental replicates rather than a balanced design so using <code>mod1</code>
to preserve biological variability will result in an error.</p>
-<div class="sourceCode" id="cb537"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb537-1" data-line-number="1">combat_data <-<span class="st"> </span><span class="kw">logcounts</span>(umi.qc)</a>
-<a class="sourceLine" id="cb537-2" data-line-number="2">mod_data <-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">t</span>(combat_data))</a>
-<a class="sourceLine" id="cb537-3" data-line-number="3"><span class="co"># Basic batch removal</span></a>
-<a class="sourceLine" id="cb537-4" data-line-number="4">mod0 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span><span class="dv">1</span>, <span class="dt">data =</span> mod_data) </a>
-<a class="sourceLine" id="cb537-5" data-line-number="5"><span class="co"># Preserve biological variability</span></a>
-<a class="sourceLine" id="cb537-6" data-line-number="6">mod1 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>umi.qc<span class="op">$</span>individual, <span class="dt">data =</span> mod_data) </a>
-<a class="sourceLine" id="cb537-7" data-line-number="7"><span class="co"># adjust for total genes detected</span></a>
-<a class="sourceLine" id="cb537-8" data-line-number="8">mod2 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>umi.qc<span class="op">$</span>total_features_by_counts, <span class="dt">data =</span> mod_data)</a>
-<a class="sourceLine" id="cb537-9" data-line-number="9"><span class="kw">assay</span>(umi.qc, <span class="st">"combat"</span>) <-<span class="st"> </span><span class="kw">ComBat</span>(</a>
-<a class="sourceLine" id="cb537-10" data-line-number="10"> <span class="dt">dat =</span> <span class="kw">t</span>(mod_data), </a>
-<a class="sourceLine" id="cb537-11" data-line-number="11"> <span class="dt">batch =</span> <span class="kw">factor</span>(umi.qc<span class="op">$</span>batch), </a>
-<a class="sourceLine" id="cb537-12" data-line-number="12"> <span class="dt">mod =</span> mod0,</a>
-<a class="sourceLine" id="cb537-13" data-line-number="13"> <span class="dt">par.prior =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb537-14" data-line-number="14"> <span class="dt">prior.plots =</span> <span class="ot">FALSE</span></a>
-<a class="sourceLine" id="cb537-15" data-line-number="15">)</a></code></pre></div>
+<div class="sourceCode" id="cb357"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb357-1" data-line-number="1">combat_data <-<span class="st"> </span><span class="kw">logcounts</span>(umi.qc)</a>
+<a class="sourceLine" id="cb357-2" data-line-number="2">mod_data <-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">t</span>(combat_data))</a>
+<a class="sourceLine" id="cb357-3" data-line-number="3"><span class="co"># Basic batch removal</span></a>
+<a class="sourceLine" id="cb357-4" data-line-number="4">mod0 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span><span class="dv">1</span>, <span class="dt">data =</span> mod_data) </a>
+<a class="sourceLine" id="cb357-5" data-line-number="5"><span class="co"># Preserve biological variability</span></a>
+<a class="sourceLine" id="cb357-6" data-line-number="6">mod1 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>umi.qc<span class="op">$</span>individual, <span class="dt">data =</span> mod_data) </a>
+<a class="sourceLine" id="cb357-7" data-line-number="7"><span class="co"># adjust for total genes detected</span></a>
+<a class="sourceLine" id="cb357-8" data-line-number="8">mod2 <-<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>umi.qc<span class="op">$</span>total_features_by_counts, <span class="dt">data =</span> mod_data)</a>
+<a class="sourceLine" id="cb357-9" data-line-number="9"><span class="kw">assay</span>(umi.qc, <span class="st">"combat"</span>) <-<span class="st"> </span><span class="kw">ComBat</span>(</a>
+<a class="sourceLine" id="cb357-10" data-line-number="10"> <span class="dt">dat =</span> <span class="kw">t</span>(mod_data), </a>
+<a class="sourceLine" id="cb357-11" data-line-number="11"> <span class="dt">batch =</span> <span class="kw">factor</span>(umi.qc<span class="op">$</span>batch), </a>
+<a class="sourceLine" id="cb357-12" data-line-number="12"> <span class="dt">mod =</span> mod0,</a>
+<a class="sourceLine" id="cb357-13" data-line-number="13"> <span class="dt">par.prior =</span> <span class="ot">TRUE</span>,</a>
+<a class="sourceLine" id="cb357-14" data-line-number="14"> <span class="dt">prior.plots =</span> <span class="ot">FALSE</span></a>
+<a class="sourceLine" id="cb357-15" data-line-number="15">)</a></code></pre></div>
<pre><code>## Standardizing Data across genes</code></pre>
<p><strong>Exercise 1</strong></p>
<p>Perform <code>ComBat</code> correction accounting for total features as a co-variate. Store the corrected matrix in the <code>combat_tf</code> slot.</p>
@@ -6335,48 +1941,48 @@ normalize each individual separately. Note that this will remove batch effects
between batches within the same individual but not the batch effects between
batches in different individuals, due to the confounded experimental design.</p>
<p>Thus we will merge a replicate from each individual to form three batches.</p>
-<div class="sourceCode" id="cb539"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb539-1" data-line-number="1">do_mnn <-<span class="st"> </span><span class="cf">function</span>(data.qc) {</a>
-<a class="sourceLine" id="cb539-2" data-line-number="2"> batch1 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r1"</span>])</a>
-<a class="sourceLine" id="cb539-3" data-line-number="3"> batch2 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r2"</span>])</a>
-<a class="sourceLine" id="cb539-4" data-line-number="4"> batch3 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r3"</span>])</a>
-<a class="sourceLine" id="cb539-5" data-line-number="5"> </a>
-<a class="sourceLine" id="cb539-6" data-line-number="6"> <span class="cf">if</span> (<span class="kw">ncol</span>(batch2) <span class="op">></span><span class="st"> </span><span class="dv">0</span>) {</a>
-<a class="sourceLine" id="cb539-7" data-line-number="7"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
-<a class="sourceLine" id="cb539-8" data-line-number="8"> batch1, batch2, batch3, </a>
-<a class="sourceLine" id="cb539-9" data-line-number="9"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
-<a class="sourceLine" id="cb539-10" data-line-number="10"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
-<a class="sourceLine" id="cb539-11" data-line-number="11"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb539-12" data-line-number="12"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
-<a class="sourceLine" id="cb539-13" data-line-number="13"> )</a>
-<a class="sourceLine" id="cb539-14" data-line-number="14"> <span class="kw">return</span>(x)</a>
-<a class="sourceLine" id="cb539-15" data-line-number="15"> } <span class="cf">else</span> {</a>
-<a class="sourceLine" id="cb539-16" data-line-number="16"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
-<a class="sourceLine" id="cb539-17" data-line-number="17"> batch1, batch3, </a>
-<a class="sourceLine" id="cb539-18" data-line-number="18"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
-<a class="sourceLine" id="cb539-19" data-line-number="19"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
-<a class="sourceLine" id="cb539-20" data-line-number="20"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb539-21" data-line-number="21"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
-<a class="sourceLine" id="cb539-22" data-line-number="22"> )</a>
-<a class="sourceLine" id="cb539-23" data-line-number="23"> <span class="kw">return</span>(x)</a>
-<a class="sourceLine" id="cb539-24" data-line-number="24"> }</a>
-<a class="sourceLine" id="cb539-25" data-line-number="25">}</a>
-<a class="sourceLine" id="cb539-26" data-line-number="26"></a>
-<a class="sourceLine" id="cb539-27" data-line-number="27">indi1 <-<span class="st"> </span><span class="kw">do_mnn</span>(umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>])</a>
-<a class="sourceLine" id="cb539-28" data-line-number="28">indi2 <-<span class="st"> </span><span class="kw">do_mnn</span>(umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>])</a>
-<a class="sourceLine" id="cb539-29" data-line-number="29">indi3 <-<span class="st"> </span><span class="kw">do_mnn</span>(umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>])</a>
-<a class="sourceLine" id="cb539-30" data-line-number="30"></a>
-<a class="sourceLine" id="cb539-31" data-line-number="31"><span class="kw">identical</span>(<span class="kw">colnames</span>(umi.qc), <span class="kw">colnames</span>(<span class="kw">cbind</span>(indi1, indi2, indi3)))</a></code></pre></div>
+<div class="sourceCode" id="cb359"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb359-1" data-line-number="1">do_mnn <-<span class="st"> </span><span class="cf">function</span>(data.qc) {</a>
+<a class="sourceLine" id="cb359-2" data-line-number="2"> batch1 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r1"</span>])</a>
+<a class="sourceLine" id="cb359-3" data-line-number="3"> batch2 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r2"</span>])</a>
+<a class="sourceLine" id="cb359-4" data-line-number="4"> batch3 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r3"</span>])</a>
+<a class="sourceLine" id="cb359-5" data-line-number="5"> </a>
+<a class="sourceLine" id="cb359-6" data-line-number="6"> <span class="cf">if</span> (<span class="kw">ncol</span>(batch2) <span class="op">></span><span class="st"> </span><span class="dv">0</span>) {</a>
+<a class="sourceLine" id="cb359-7" data-line-number="7"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
+<a class="sourceLine" id="cb359-8" data-line-number="8"> batch1, batch2, batch3, </a>
+<a class="sourceLine" id="cb359-9" data-line-number="9"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
+<a class="sourceLine" id="cb359-10" data-line-number="10"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
+<a class="sourceLine" id="cb359-11" data-line-number="11"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
+<a class="sourceLine" id="cb359-12" data-line-number="12"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
+<a class="sourceLine" id="cb359-13" data-line-number="13"> )</a>
+<a class="sourceLine" id="cb359-14" data-line-number="14"> <span class="kw">return</span>(x)</a>
+<a class="sourceLine" id="cb359-15" data-line-number="15"> } <span class="cf">else</span> {</a>
+<a class="sourceLine" id="cb359-16" data-line-number="16"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
+<a class="sourceLine" id="cb359-17" data-line-number="17"> batch1, batch3, </a>
+<a class="sourceLine" id="cb359-18" data-line-number="18"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
+<a class="sourceLine" id="cb359-19" data-line-number="19"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
+<a class="sourceLine" id="cb359-20" data-line-number="20"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
+<a class="sourceLine" id="cb359-21" data-line-number="21"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
+<a class="sourceLine" id="cb359-22" data-line-number="22"> )</a>
+<a class="sourceLine" id="cb359-23" data-line-number="23"> <span class="kw">return</span>(x)</a>
+<a class="sourceLine" id="cb359-24" data-line-number="24"> }</a>
+<a class="sourceLine" id="cb359-25" data-line-number="25">}</a>
+<a class="sourceLine" id="cb359-26" data-line-number="26"></a>
+<a class="sourceLine" id="cb359-27" data-line-number="27">indi1 <-<span class="st"> </span><span class="kw">do_mnn</span>(umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>])</a>
+<a class="sourceLine" id="cb359-28" data-line-number="28">indi2 <-<span class="st"> </span><span class="kw">do_mnn</span>(umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>])</a>
+<a class="sourceLine" id="cb359-29" data-line-number="29">indi3 <-<span class="st"> </span><span class="kw">do_mnn</span>(umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>])</a>
+<a class="sourceLine" id="cb359-30" data-line-number="30"></a>
+<a class="sourceLine" id="cb359-31" data-line-number="31"><span class="kw">identical</span>(<span class="kw">colnames</span>(umi.qc), <span class="kw">colnames</span>(<span class="kw">cbind</span>(indi1, indi2, indi3)))</a></code></pre></div>
<pre><code>## [1] TRUE</code></pre>
-<div class="sourceCode" id="cb541"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb541-1" data-line-number="1"><span class="kw">assay</span>(umi.qc, <span class="st">"mnn"</span>) <-<span class="st"> </span><span class="kw">assay</span>(<span class="kw">cbind</span>(indi1, indi2, indi3), <span class="st">"corrected"</span>)</a>
-<a class="sourceLine" id="cb541-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb541-3" data-line-number="3"><span class="co"># For a balanced design: </span></a>
-<a class="sourceLine" id="cb541-4" data-line-number="4"><span class="co">#assay(umi.qc, "mnn") <- mnnCorrect(</span></a>
-<a class="sourceLine" id="cb541-5" data-line-number="5"><span class="co"># list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), </span></a>
-<a class="sourceLine" id="cb541-6" data-line-number="6"><span class="co"># k = 20,</span></a>
-<a class="sourceLine" id="cb541-7" data-line-number="7"><span class="co"># sigma = 0.1,</span></a>
-<a class="sourceLine" id="cb541-8" data-line-number="8"><span class="co"># cos.norm = TRUE,</span></a>
-<a class="sourceLine" id="cb541-9" data-line-number="9"><span class="co"># svd.dim = 2</span></a>
-<a class="sourceLine" id="cb541-10" data-line-number="10"><span class="co">#)</span></a></code></pre></div>
+<div class="sourceCode" id="cb361"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb361-1" data-line-number="1"><span class="kw">assay</span>(umi.qc, <span class="st">"mnn"</span>) <-<span class="st"> </span><span class="kw">assay</span>(<span class="kw">cbind</span>(indi1, indi2, indi3), <span class="st">"corrected"</span>)</a>
+<a class="sourceLine" id="cb361-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb361-3" data-line-number="3"><span class="co"># For a balanced design: </span></a>
+<a class="sourceLine" id="cb361-4" data-line-number="4"><span class="co">#assay(umi.qc, "mnn") <- mnnCorrect(</span></a>
+<a class="sourceLine" id="cb361-5" data-line-number="5"><span class="co"># list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), </span></a>
+<a class="sourceLine" id="cb361-6" data-line-number="6"><span class="co"># k = 20,</span></a>
+<a class="sourceLine" id="cb361-7" data-line-number="7"><span class="co"># sigma = 0.1,</span></a>
+<a class="sourceLine" id="cb361-8" data-line-number="8"><span class="co"># cos.norm = TRUE,</span></a>
+<a class="sourceLine" id="cb361-9" data-line-number="9"><span class="co"># svd.dim = 2</span></a>
+<a class="sourceLine" id="cb361-10" data-line-number="10"><span class="co">#)</span></a></code></pre></div>
<p>The latest version of the
<a href="https://www.bioconductor.org/packages/release/bioc/html/batchelor.html"><code>batchelor</code></a>
package has a new <code>fastMNN()</code> method. The <code>fastMNN()</code> function performs a
@@ -6386,35 +1992,30 @@ advantages in speed and denoising. The function returns a <code>SingleCellExperi
object containing a matrix of corrected PC scores, which can be used directly
for downstream analyses like clustering and visualization. [NB: <code>fastMNN</code> may
actually be slower on small datasets like that considered here.]</p>
-<div class="sourceCode" id="cb542"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb542-1" data-line-number="1">indi1 <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">fastMNN</span>(</a>
-<a class="sourceLine" id="cb542-2" data-line-number="2"> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>],</a>
-<a class="sourceLine" id="cb542-3" data-line-number="3"> <span class="dt">batch =</span> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>]<span class="op">$</span>replicate)</a></code></pre></div>
-<pre><code>## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or
-## derivative</code></pre>
-<div class="sourceCode" id="cb544"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb544-1" data-line-number="1">indi2 <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">fastMNN</span>(</a>
-<a class="sourceLine" id="cb544-2" data-line-number="2"> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>],</a>
-<a class="sourceLine" id="cb544-3" data-line-number="3"> <span class="dt">batch =</span> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>]<span class="op">$</span>replicate)</a></code></pre></div>
-<pre><code>## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or
-## derivative</code></pre>
-<div class="sourceCode" id="cb546"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb546-1" data-line-number="1">indi3 <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">fastMNN</span>(</a>
-<a class="sourceLine" id="cb546-2" data-line-number="2"> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>],</a>
-<a class="sourceLine" id="cb546-3" data-line-number="3"> <span class="dt">batch =</span> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>]<span class="op">$</span>replicate)</a></code></pre></div>
-<pre><code>## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or
-## derivative</code></pre>
-<div class="sourceCode" id="cb548"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb548-1" data-line-number="1"><span class="kw">identical</span>(<span class="kw">colnames</span>(umi.qc),</a>
-<a class="sourceLine" id="cb548-2" data-line-number="2"> <span class="kw">colnames</span>(<span class="kw">cbind</span>(<span class="kw">assay</span>(indi1, <span class="st">"reconstructed"</span>),</a>
-<a class="sourceLine" id="cb548-3" data-line-number="3"> <span class="kw">assay</span>(indi2, <span class="st">"reconstructed"</span>),</a>
-<a class="sourceLine" id="cb548-4" data-line-number="4"> <span class="kw">assay</span>(indi3, <span class="st">"reconstructed"</span>)))) </a></code></pre></div>
+<div class="sourceCode" id="cb362"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb362-1" data-line-number="1">indi1 <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">fastMNN</span>(</a>
+<a class="sourceLine" id="cb362-2" data-line-number="2"> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>],</a>
+<a class="sourceLine" id="cb362-3" data-line-number="3"> <span class="dt">batch =</span> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>]<span class="op">$</span>replicate)</a>
+<a class="sourceLine" id="cb362-4" data-line-number="4">indi2 <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">fastMNN</span>(</a>
+<a class="sourceLine" id="cb362-5" data-line-number="5"> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>],</a>
+<a class="sourceLine" id="cb362-6" data-line-number="6"> <span class="dt">batch =</span> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>]<span class="op">$</span>replicate)</a>
+<a class="sourceLine" id="cb362-7" data-line-number="7">indi3 <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">fastMNN</span>(</a>
+<a class="sourceLine" id="cb362-8" data-line-number="8"> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>],</a>
+<a class="sourceLine" id="cb362-9" data-line-number="9"> <span class="dt">batch =</span> umi.qc[, umi.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>]<span class="op">$</span>replicate)</a>
+<a class="sourceLine" id="cb362-10" data-line-number="10"></a>
+<a class="sourceLine" id="cb362-11" data-line-number="11"><span class="kw">identical</span>(<span class="kw">colnames</span>(umi.qc),</a>
+<a class="sourceLine" id="cb362-12" data-line-number="12"> <span class="kw">colnames</span>(<span class="kw">cbind</span>(<span class="kw">assay</span>(indi1, <span class="st">"reconstructed"</span>),</a>
+<a class="sourceLine" id="cb362-13" data-line-number="13"> <span class="kw">assay</span>(indi2, <span class="st">"reconstructed"</span>),</a>
+<a class="sourceLine" id="cb362-14" data-line-number="14"> <span class="kw">assay</span>(indi3, <span class="st">"reconstructed"</span>)))) </a></code></pre></div>
<pre><code>## [1] TRUE</code></pre>
-<div class="sourceCode" id="cb550"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb550-1" data-line-number="1">fastmnn <-<span class="st"> </span><span class="kw">cbind</span>(<span class="kw">assay</span>(indi1, <span class="st">"reconstructed"</span>),</a>
-<a class="sourceLine" id="cb550-2" data-line-number="2"> <span class="kw">assay</span>(indi2, <span class="st">"reconstructed"</span>),</a>
-<a class="sourceLine" id="cb550-3" data-line-number="3"> <span class="kw">assay</span>(indi3, <span class="st">"reconstructed"</span>))</a>
-<a class="sourceLine" id="cb550-4" data-line-number="4"><span class="kw">identical</span>(<span class="kw">rownames</span>(umi.qc), <span class="kw">rownames</span>(fastmnn))</a></code></pre></div>
+<div class="sourceCode" id="cb364"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb364-1" data-line-number="1">fastmnn <-<span class="st"> </span><span class="kw">cbind</span>(<span class="kw">assay</span>(indi1, <span class="st">"reconstructed"</span>),</a>
+<a class="sourceLine" id="cb364-2" data-line-number="2"> <span class="kw">assay</span>(indi2, <span class="st">"reconstructed"</span>),</a>
+<a class="sourceLine" id="cb364-3" data-line-number="3"> <span class="kw">assay</span>(indi3, <span class="st">"reconstructed"</span>))</a>
+<a class="sourceLine" id="cb364-4" data-line-number="4"><span class="kw">identical</span>(<span class="kw">rownames</span>(umi.qc), <span class="kw">rownames</span>(fastmnn))</a></code></pre></div>
<pre><code>## [1] FALSE</code></pre>
-<div class="sourceCode" id="cb552"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb552-1" data-line-number="1"><span class="co">## fastMNN() drops 66 genes, so we cannot immediately add the reconstructed expression matrix to assays() in umi.qc</span></a>
-<a class="sourceLine" id="cb552-2" data-line-number="2"><span class="co">## But we can run PCA on the reconstructed data from fastMNN() and add that to the reducedDim slot of our SCE object</span></a>
-<a class="sourceLine" id="cb552-3" data-line-number="3">fastmnn_pca <-<span class="st"> </span><span class="kw">runPCA</span>(fastmnn, <span class="dt">rank=</span><span class="dv">2</span>)</a>
-<a class="sourceLine" id="cb552-4" data-line-number="4"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"fastmnn"</span>) <-<span class="st"> </span>fastmnn_pca<span class="op">$</span>rotation</a></code></pre></div>
+<div class="sourceCode" id="cb366"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb366-1" data-line-number="1"><span class="co">## fastMNN() drops 66 genes, so we cannot immediately add the reconstructed expression matrix to assays() in umi.qc</span></a>
+<a class="sourceLine" id="cb366-2" data-line-number="2"><span class="co">## But we can run PCA on the reconstructed data from fastMNN() and add that to the reducedDim slot of our SCE object</span></a>
+<a class="sourceLine" id="cb366-3" data-line-number="3">fastmnn_pca <-<span class="st"> </span><span class="kw">runPCA</span>(fastmnn, <span class="dt">rank=</span><span class="dv">2</span>)</a>
+<a class="sourceLine" id="cb366-4" data-line-number="4"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"fastmnn"</span>) <-<span class="st"> </span>fastmnn_pca<span class="op">$</span>rotation</a></code></pre></div>
<p>For further details, please consult the <code>batchelor</code> package documentation and
<a href="https://www.bioconductor.org/packages/release/bioc/vignettes/batchelor/inst/doc/correction.html">vignette</a>.</p>
</div>
@@ -6432,31 +2033,21 @@ experimental and biological factors on input.</p>
<p>Seeing how the end result of Harmony is an altered dimensional reduction space
created on the basis of PCA, we plot the obtained manifold here and exclude it
from the rest of the follow-ups in the section.</p>
-<div class="sourceCode" id="cb553"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb553-1" data-line-number="1">umi.qc.endog <-<span class="st"> </span>umi.qc[endog_genes,]</a>
-<a class="sourceLine" id="cb553-2" data-line-number="2">umi.qc.endog <-<span class="st"> </span><span class="kw">runPCA</span>(umi.qc.endog, <span class="dt">exprs_values =</span> <span class="st">'logcounts'</span>, <span class="dt">ncomponents =</span> <span class="dv">20</span>)</a>
-<a class="sourceLine" id="cb553-3" data-line-number="3">pca <-<span class="st"> </span><span class="kw">as.matrix</span>(<span class="kw">reducedDim</span>(umi.qc.endog, <span class="st">"PCA"</span>))</a>
-<a class="sourceLine" id="cb553-4" data-line-number="4">harmony_emb <-<span class="st"> </span><span class="kw">HarmonyMatrix</span>(pca, umi.qc.endog<span class="op">$</span>batch, <span class="dt">theta=</span><span class="dv">2</span>, <span class="dt">do_pca=</span><span class="ot">FALSE</span>)</a></code></pre></div>
-<pre><code>## Harmony 1/10</code></pre>
-<pre><code>## Harmony 2/10</code></pre>
-<pre><code>## Harmony 3/10</code></pre>
-<pre><code>## Harmony 4/10</code></pre>
-<pre><code>## Harmony 5/10</code></pre>
-<pre><code>## Harmony 6/10</code></pre>
-<pre><code>## Harmony 7/10</code></pre>
-<pre><code>## Harmony 8/10</code></pre>
-<pre><code>## Harmony 9/10</code></pre>
-<pre><code>## Harmony 10/10</code></pre>
-<div class="sourceCode" id="cb564"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb564-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc.endog, <span class="st">"harmony"</span>) <-<span class="st"> </span>harmony_emb</a>
-<a class="sourceLine" id="cb564-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb564-3" data-line-number="3"><span class="kw">plotReducedDim</span>(</a>
-<a class="sourceLine" id="cb564-4" data-line-number="4"> umi.qc.endog,</a>
-<a class="sourceLine" id="cb564-5" data-line-number="5"> <span class="dt">use_dimred =</span> <span class="st">'harmony'</span>,</a>
-<a class="sourceLine" id="cb564-6" data-line-number="6"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb564-7" data-line-number="7"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb564-8" data-line-number="8"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb564-9" data-line-number="9">)</a></code></pre></div>
+<div class="sourceCode" id="cb367"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb367-1" data-line-number="1">umi.qc.endog <-<span class="st"> </span>umi.qc[endog_genes,]</a>
+<a class="sourceLine" id="cb367-2" data-line-number="2">umi.qc.endog <-<span class="st"> </span><span class="kw">runPCA</span>(umi.qc.endog, <span class="dt">exprs_values =</span> <span class="st">'logcounts'</span>, <span class="dt">ncomponents =</span> <span class="dv">20</span>)</a>
+<a class="sourceLine" id="cb367-3" data-line-number="3">pca <-<span class="st"> </span><span class="kw">as.matrix</span>(<span class="kw">reducedDim</span>(umi.qc.endog, <span class="st">"PCA"</span>))</a>
+<a class="sourceLine" id="cb367-4" data-line-number="4">harmony_emb <-<span class="st"> </span><span class="kw">HarmonyMatrix</span>(pca, umi.qc.endog<span class="op">$</span>batch, <span class="dt">theta=</span><span class="dv">2</span>, <span class="dt">do_pca=</span><span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb367-5" data-line-number="5"><span class="kw">reducedDim</span>(umi.qc.endog, <span class="st">"harmony"</span>) <-<span class="st"> </span>harmony_emb</a>
+<a class="sourceLine" id="cb367-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb367-7" data-line-number="7"><span class="kw">plotReducedDim</span>(</a>
+<a class="sourceLine" id="cb367-8" data-line-number="8"> umi.qc.endog,</a>
+<a class="sourceLine" id="cb367-9" data-line-number="9"> <span class="dt">use_dimred =</span> <span class="st">'harmony'</span>,</a>
+<a class="sourceLine" id="cb367-10" data-line-number="10"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb367-11" data-line-number="11"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb367-12" data-line-number="12"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb367-13" data-line-number="13">)</a></code></pre></div>
<p><img src="remove-conf_files/figure-html/harmony-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb565"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb565-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"harmony"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(umi.qc.endog, <span class="st">"harmony"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb368"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb368-1" data-line-number="1"><span class="kw">reducedDim</span>(umi.qc, <span class="st">"harmony"</span>) <-<span class="st"> </span><span class="kw">reducedDim</span>(umi.qc.endog, <span class="st">"harmony"</span>)</a></code></pre></div>
</div>
<div id="how-to-evaluate-and-compare-batch-correction" class="section level3">
<h3><span class="header-section-number">7.6.8</span> How to evaluate and compare batch correction</h3>
@@ -6476,14 +2067,14 @@ PCA plot where colour corresponds the technical replicates and shape
corresponds to different biological samples (individuals). Separation of biological samples and
interspersed batches indicates that technical variation has been
removed. We always use log2-cpm normalized data to match the assumptions of PCA.</p>
-<div class="sourceCode" id="cb566"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb566-1" data-line-number="1"><span class="cf">for</span> (nm <span class="cf">in</span> <span class="kw">assayNames</span>(umi.qc)) {</a>
-<a class="sourceLine" id="cb566-2" data-line-number="2"> <span class="kw">cat</span>(nm, <span class="st">" </span><span class="ch">\n</span><span class="st">"</span>)</a>
-<a class="sourceLine" id="cb566-3" data-line-number="3"> tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
-<a class="sourceLine" id="cb566-4" data-line-number="4"> umi.qc[endog_genes, ],</a>
-<a class="sourceLine" id="cb566-5" data-line-number="5"> <span class="dt">exprs_values =</span> nm</a>
-<a class="sourceLine" id="cb566-6" data-line-number="6"> )</a>
-<a class="sourceLine" id="cb566-7" data-line-number="7"> <span class="kw">reducedDim</span>(umi.qc, <span class="kw">paste0</span>(<span class="st">"PCA_"</span>, nm)) <-<span class="st"> </span><span class="kw">reducedDim</span>(tmp, <span class="st">"PCA"</span>)</a>
-<a class="sourceLine" id="cb566-8" data-line-number="8">}</a></code></pre></div>
+<div class="sourceCode" id="cb369"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb369-1" data-line-number="1"><span class="cf">for</span> (nm <span class="cf">in</span> <span class="kw">assayNames</span>(umi.qc)) {</a>
+<a class="sourceLine" id="cb369-2" data-line-number="2"> <span class="kw">cat</span>(nm, <span class="st">" </span><span class="ch">\n</span><span class="st">"</span>)</a>
+<a class="sourceLine" id="cb369-3" data-line-number="3"> tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
+<a class="sourceLine" id="cb369-4" data-line-number="4"> umi.qc[endog_genes, ],</a>
+<a class="sourceLine" id="cb369-5" data-line-number="5"> <span class="dt">exprs_values =</span> nm</a>
+<a class="sourceLine" id="cb369-6" data-line-number="6"> )</a>
+<a class="sourceLine" id="cb369-7" data-line-number="7"> <span class="kw">reducedDim</span>(umi.qc, <span class="kw">paste0</span>(<span class="st">"PCA_"</span>, nm)) <-<span class="st"> </span><span class="kw">reducedDim</span>(tmp, <span class="st">"PCA"</span>)</a>
+<a class="sourceLine" id="cb369-8" data-line-number="8">}</a></code></pre></div>
<pre><code>## counts
## logcounts_raw
## logcounts
@@ -6494,18 +2085,18 @@ removed. We always use log2-cpm normalized data to match the assumptions of PCA.
## ruvs10
## combat
## mnn</code></pre>
-<div class="sourceCode" id="cb568"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb568-1" data-line-number="1"><span class="cf">for</span> (nm <span class="cf">in</span> <span class="kw">reducedDimNames</span>(umi.qc)) {</a>
-<a class="sourceLine" id="cb568-2" data-line-number="2"> <span class="kw">print</span>(</a>
-<a class="sourceLine" id="cb568-3" data-line-number="3"> <span class="kw">plotReducedDim</span>(</a>
-<a class="sourceLine" id="cb568-4" data-line-number="4"> umi.qc,</a>
-<a class="sourceLine" id="cb568-5" data-line-number="5"> <span class="dt">use_dimred =</span> nm,</a>
-<a class="sourceLine" id="cb568-6" data-line-number="6"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb568-7" data-line-number="7"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb568-8" data-line-number="8"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb568-9" data-line-number="9"> ) <span class="op">+</span></a>
-<a class="sourceLine" id="cb568-10" data-line-number="10"><span class="st"> </span><span class="kw">ggtitle</span>(nm)</a>
-<a class="sourceLine" id="cb568-11" data-line-number="11"> )</a>
-<a class="sourceLine" id="cb568-12" data-line-number="12">}</a></code></pre></div>
+<div class="sourceCode" id="cb371"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb371-1" data-line-number="1"><span class="cf">for</span> (nm <span class="cf">in</span> <span class="kw">reducedDimNames</span>(umi.qc)) {</a>
+<a class="sourceLine" id="cb371-2" data-line-number="2"> <span class="kw">print</span>(</a>
+<a class="sourceLine" id="cb371-3" data-line-number="3"> <span class="kw">plotReducedDim</span>(</a>
+<a class="sourceLine" id="cb371-4" data-line-number="4"> umi.qc,</a>
+<a class="sourceLine" id="cb371-5" data-line-number="5"> <span class="dt">use_dimred =</span> nm,</a>
+<a class="sourceLine" id="cb371-6" data-line-number="6"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb371-7" data-line-number="7"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb371-8" data-line-number="8"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb371-9" data-line-number="9"> ) <span class="op">+</span></a>
+<a class="sourceLine" id="cb371-10" data-line-number="10"><span class="st"> </span><span class="kw">ggtitle</span>(nm)</a>
+<a class="sourceLine" id="cb371-11" data-line-number="11"> )</a>
+<a class="sourceLine" id="cb371-12" data-line-number="12">}</a></code></pre></div>
<p><img src="remove-conf_files/figure-html/effectiveness1-1.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-2.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-3.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-4.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-5.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-6.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-7.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-8.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-9.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-10.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-11.png" width="90%" style="display: block; margin: auto;" /><img src="remove-conf_files/figure-html/effectiveness1-12.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>Exercise 3</strong></p>
<p>Consider different <code>k</code>’s for RUV normalizations. Which gives the best results?</p>
@@ -6517,12 +2108,12 @@ expression (RLE) across cells to confirm technical noise has been removed from
the dataset. Note RLE only evaluates whether the number of genes higher and
lower than average are equal for each cell - i.e. systemic technical effects.
Random technical noise between batches may not be detected by RLE.</p>
-<div class="sourceCode" id="cb569"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb569-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">list</span>()</a>
-<a class="sourceLine" id="cb569-2" data-line-number="2"><span class="cf">for</span>(n <span class="cf">in</span> <span class="kw">assayNames</span>(umi.qc)) {</a>
-<a class="sourceLine" id="cb569-3" data-line-number="3"> res[[n]] <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">calc_cell_RLE</span>(<span class="kw">assay</span>(umi.qc, n), erccs))</a>
-<a class="sourceLine" id="cb569-4" data-line-number="4">}</a>
-<a class="sourceLine" id="cb569-5" data-line-number="5"><span class="kw">par</span>(<span class="dt">mar=</span><span class="kw">c</span>(<span class="dv">6</span>,<span class="dv">4</span>,<span class="dv">1</span>,<span class="dv">1</span>))</a>
-<a class="sourceLine" id="cb569-6" data-line-number="6"><span class="kw">boxplot</span>(res, <span class="dt">las=</span><span class="dv">2</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb372"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb372-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">list</span>()</a>
+<a class="sourceLine" id="cb372-2" data-line-number="2"><span class="cf">for</span>(n <span class="cf">in</span> <span class="kw">assayNames</span>(umi.qc)) {</a>
+<a class="sourceLine" id="cb372-3" data-line-number="3"> res[[n]] <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">calc_cell_RLE</span>(<span class="kw">assay</span>(umi.qc, n), erccs))</a>
+<a class="sourceLine" id="cb372-4" data-line-number="4">}</a>
+<a class="sourceLine" id="cb372-5" data-line-number="5"><span class="kw">par</span>(<span class="dt">mar=</span><span class="kw">c</span>(<span class="dv">6</span>,<span class="dv">4</span>,<span class="dv">1</span>,<span class="dv">1</span>))</a>
+<a class="sourceLine" id="cb372-6" data-line-number="6"><span class="kw">boxplot</span>(res, <span class="dt">las=</span><span class="dv">2</span>)</a></code></pre></div>
<p><img src="remove-conf_files/figure-html/effectiveness2-1.png" width="90%" style="display: block; margin: auto;" /></p>
</div>
<div id="effectiveness-3" class="section level4">
@@ -6544,53 +2135,53 @@ individual independently to check for residual batch effects. However, this
method will not identify residual batch-effects which are confounded with
biological conditions. In addition, <code>kBET</code> does not determine if biological
signal has been preserved.</p>
-<div class="sourceCode" id="cb570"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb570-1" data-line-number="1">compare_kBET_results <-<span class="st"> </span><span class="cf">function</span>(sce){</a>
-<a class="sourceLine" id="cb570-2" data-line-number="2"> indiv <-<span class="st"> </span><span class="kw">unique</span>(sce<span class="op">$</span>individual)</a>
-<a class="sourceLine" id="cb570-3" data-line-number="3"> norms <-<span class="st"> </span><span class="kw">assayNames</span>(sce) <span class="co"># Get all normalizations</span></a>
-<a class="sourceLine" id="cb570-4" data-line-number="4"> results <-<span class="st"> </span><span class="kw">list</span>()</a>
-<a class="sourceLine" id="cb570-5" data-line-number="5"> <span class="cf">for</span> (i <span class="cf">in</span> indiv){ </a>
-<a class="sourceLine" id="cb570-6" data-line-number="6"> <span class="cf">for</span> (j <span class="cf">in</span> norms){</a>
-<a class="sourceLine" id="cb570-7" data-line-number="7"> tmp <-<span class="st"> </span><span class="kw">kBET</span>(</a>
-<a class="sourceLine" id="cb570-8" data-line-number="8"> <span class="dt">df =</span> <span class="kw">t</span>(<span class="kw">assay</span>(sce[,sce<span class="op">$</span>individual<span class="op">==</span><span class="st"> </span>i], j)), </a>
-<a class="sourceLine" id="cb570-9" data-line-number="9"> <span class="dt">batch =</span> sce<span class="op">$</span>batch[sce<span class="op">$</span>individual<span class="op">==</span>i], </a>
-<a class="sourceLine" id="cb570-10" data-line-number="10"> <span class="dt">heuristic =</span> <span class="ot">TRUE</span>, </a>
-<a class="sourceLine" id="cb570-11" data-line-number="11"> <span class="dt">verbose =</span> <span class="ot">FALSE</span>, </a>
-<a class="sourceLine" id="cb570-12" data-line-number="12"> <span class="dt">addTest =</span> <span class="ot">FALSE</span>, </a>
-<a class="sourceLine" id="cb570-13" data-line-number="13"> <span class="dt">plot =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb570-14" data-line-number="14"> results[[i]][[j]] <-<span class="st"> </span>tmp<span class="op">$</span>summary<span class="op">$</span>kBET.observed[<span class="dv">1</span>]</a>
-<a class="sourceLine" id="cb570-15" data-line-number="15"> }</a>
-<a class="sourceLine" id="cb570-16" data-line-number="16"> }</a>
-<a class="sourceLine" id="cb570-17" data-line-number="17"> <span class="kw">return</span>(<span class="kw">as.data.frame</span>(results))</a>
-<a class="sourceLine" id="cb570-18" data-line-number="18">}</a>
-<a class="sourceLine" id="cb570-19" data-line-number="19"></a>
-<a class="sourceLine" id="cb570-20" data-line-number="20">eff_debatching <-<span class="st"> </span><span class="kw">compare_kBET_results</span>(umi.qc)</a></code></pre></div>
-<div class="sourceCode" id="cb571"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb571-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"reshape2"</span>)</a>
-<a class="sourceLine" id="cb571-2" data-line-number="2"><span class="kw">require</span>(<span class="st">"RColorBrewer"</span>)</a>
-<a class="sourceLine" id="cb571-3" data-line-number="3"><span class="co"># Plot results</span></a>
-<a class="sourceLine" id="cb571-4" data-line-number="4">dod <-<span class="st"> </span><span class="kw">melt</span>(<span class="kw">as.matrix</span>(eff_debatching), <span class="dt">value.name =</span> <span class="st">"kBET"</span>)</a>
-<a class="sourceLine" id="cb571-5" data-line-number="5"><span class="kw">colnames</span>(dod)[<span class="dv">1</span><span class="op">:</span><span class="dv">2</span>] <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Normalisation"</span>, <span class="st">"Individual"</span>)</a>
-<a class="sourceLine" id="cb571-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb571-7" data-line-number="7">colorset <-<span class="st"> </span><span class="kw">c</span>(<span class="st">'gray'</span>, <span class="kw">brewer.pal</span>(<span class="dt">n =</span> <span class="dv">9</span>, <span class="st">"Oranges"</span>))</a>
-<a class="sourceLine" id="cb571-8" data-line-number="8"></a>
-<a class="sourceLine" id="cb571-9" data-line-number="9"><span class="kw">ggplot</span>(dod, <span class="kw">aes</span>(Normalisation, Individual, <span class="dt">fill=</span>kBET)) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb571-10" data-line-number="10"><span class="st"> </span><span class="kw">geom_tile</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb571-11" data-line-number="11"><span class="st"> </span><span class="kw">scale_fill_gradient2</span>(</a>
-<a class="sourceLine" id="cb571-12" data-line-number="12"> <span class="dt">na.value =</span> <span class="st">"gray"</span>,</a>
-<a class="sourceLine" id="cb571-13" data-line-number="13"> <span class="dt">low =</span> colorset[<span class="dv">2</span>],</a>
-<a class="sourceLine" id="cb571-14" data-line-number="14"> <span class="dt">mid=</span>colorset[<span class="dv">6</span>],</a>
-<a class="sourceLine" id="cb571-15" data-line-number="15"> <span class="dt">high =</span> colorset[<span class="dv">10</span>],</a>
-<a class="sourceLine" id="cb571-16" data-line-number="16"> <span class="dt">midpoint =</span> <span class="fl">0.5</span>, <span class="dt">limit =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">1</span>)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb571-17" data-line-number="17"><span class="st"> </span><span class="kw">scale_x_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb571-18" data-line-number="18"><span class="st"> </span><span class="kw">scale_y_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb571-19" data-line-number="19"><span class="st"> </span><span class="kw">theme</span>(</a>
-<a class="sourceLine" id="cb571-20" data-line-number="20"> <span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(</a>
-<a class="sourceLine" id="cb571-21" data-line-number="21"> <span class="dt">angle =</span> <span class="dv">45</span>, </a>
-<a class="sourceLine" id="cb571-22" data-line-number="22"> <span class="dt">vjust =</span> <span class="dv">1</span>, </a>
-<a class="sourceLine" id="cb571-23" data-line-number="23"> <span class="dt">size =</span> <span class="dv">12</span>, </a>
-<a class="sourceLine" id="cb571-24" data-line-number="24"> <span class="dt">hjust =</span> <span class="dv">1</span></a>
-<a class="sourceLine" id="cb571-25" data-line-number="25"> )</a>
-<a class="sourceLine" id="cb571-26" data-line-number="26"> ) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb571-27" data-line-number="27"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Effect of batch regression methods per individual"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb373"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb373-1" data-line-number="1">compare_kBET_results <-<span class="st"> </span><span class="cf">function</span>(sce){</a>
+<a class="sourceLine" id="cb373-2" data-line-number="2"> indiv <-<span class="st"> </span><span class="kw">unique</span>(sce<span class="op">$</span>individual)</a>
+<a class="sourceLine" id="cb373-3" data-line-number="3"> norms <-<span class="st"> </span><span class="kw">assayNames</span>(sce) <span class="co"># Get all normalizations</span></a>
+<a class="sourceLine" id="cb373-4" data-line-number="4"> results <-<span class="st"> </span><span class="kw">list</span>()</a>
+<a class="sourceLine" id="cb373-5" data-line-number="5"> <span class="cf">for</span> (i <span class="cf">in</span> indiv){ </a>
+<a class="sourceLine" id="cb373-6" data-line-number="6"> <span class="cf">for</span> (j <span class="cf">in</span> norms){</a>
+<a class="sourceLine" id="cb373-7" data-line-number="7"> tmp <-<span class="st"> </span><span class="kw">kBET</span>(</a>
+<a class="sourceLine" id="cb373-8" data-line-number="8"> <span class="dt">df =</span> <span class="kw">t</span>(<span class="kw">assay</span>(sce[,sce<span class="op">$</span>individual<span class="op">==</span><span class="st"> </span>i], j)), </a>
+<a class="sourceLine" id="cb373-9" data-line-number="9"> <span class="dt">batch =</span> sce<span class="op">$</span>batch[sce<span class="op">$</span>individual<span class="op">==</span>i], </a>
+<a class="sourceLine" id="cb373-10" data-line-number="10"> <span class="dt">heuristic =</span> <span class="ot">TRUE</span>, </a>
+<a class="sourceLine" id="cb373-11" data-line-number="11"> <span class="dt">verbose =</span> <span class="ot">FALSE</span>, </a>
+<a class="sourceLine" id="cb373-12" data-line-number="12"> <span class="dt">addTest =</span> <span class="ot">FALSE</span>, </a>
+<a class="sourceLine" id="cb373-13" data-line-number="13"> <span class="dt">plot =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb373-14" data-line-number="14"> results[[i]][[j]] <-<span class="st"> </span>tmp<span class="op">$</span>summary<span class="op">$</span>kBET.observed[<span class="dv">1</span>]</a>
+<a class="sourceLine" id="cb373-15" data-line-number="15"> }</a>
+<a class="sourceLine" id="cb373-16" data-line-number="16"> }</a>
+<a class="sourceLine" id="cb373-17" data-line-number="17"> <span class="kw">return</span>(<span class="kw">as.data.frame</span>(results))</a>
+<a class="sourceLine" id="cb373-18" data-line-number="18">}</a>
+<a class="sourceLine" id="cb373-19" data-line-number="19"></a>
+<a class="sourceLine" id="cb373-20" data-line-number="20">eff_debatching <-<span class="st"> </span><span class="kw">compare_kBET_results</span>(umi.qc)</a></code></pre></div>
+<div class="sourceCode" id="cb374"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb374-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"reshape2"</span>)</a>
+<a class="sourceLine" id="cb374-2" data-line-number="2"><span class="kw">require</span>(<span class="st">"RColorBrewer"</span>)</a>
+<a class="sourceLine" id="cb374-3" data-line-number="3"><span class="co"># Plot results</span></a>
+<a class="sourceLine" id="cb374-4" data-line-number="4">dod <-<span class="st"> </span><span class="kw">melt</span>(<span class="kw">as.matrix</span>(eff_debatching), <span class="dt">value.name =</span> <span class="st">"kBET"</span>)</a>
+<a class="sourceLine" id="cb374-5" data-line-number="5"><span class="kw">colnames</span>(dod)[<span class="dv">1</span><span class="op">:</span><span class="dv">2</span>] <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Normalisation"</span>, <span class="st">"Individual"</span>)</a>
+<a class="sourceLine" id="cb374-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb374-7" data-line-number="7">colorset <-<span class="st"> </span><span class="kw">c</span>(<span class="st">'gray'</span>, <span class="kw">brewer.pal</span>(<span class="dt">n =</span> <span class="dv">9</span>, <span class="st">"Oranges"</span>))</a>
+<a class="sourceLine" id="cb374-8" data-line-number="8"></a>
+<a class="sourceLine" id="cb374-9" data-line-number="9"><span class="kw">ggplot</span>(dod, <span class="kw">aes</span>(Normalisation, Individual, <span class="dt">fill=</span>kBET)) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb374-10" data-line-number="10"><span class="st"> </span><span class="kw">geom_tile</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb374-11" data-line-number="11"><span class="st"> </span><span class="kw">scale_fill_gradient2</span>(</a>
+<a class="sourceLine" id="cb374-12" data-line-number="12"> <span class="dt">na.value =</span> <span class="st">"gray"</span>,</a>
+<a class="sourceLine" id="cb374-13" data-line-number="13"> <span class="dt">low =</span> colorset[<span class="dv">2</span>],</a>
+<a class="sourceLine" id="cb374-14" data-line-number="14"> <span class="dt">mid=</span>colorset[<span class="dv">6</span>],</a>
+<a class="sourceLine" id="cb374-15" data-line-number="15"> <span class="dt">high =</span> colorset[<span class="dv">10</span>],</a>
+<a class="sourceLine" id="cb374-16" data-line-number="16"> <span class="dt">midpoint =</span> <span class="fl">0.5</span>, <span class="dt">limit =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">1</span>)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb374-17" data-line-number="17"><span class="st"> </span><span class="kw">scale_x_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb374-18" data-line-number="18"><span class="st"> </span><span class="kw">scale_y_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb374-19" data-line-number="19"><span class="st"> </span><span class="kw">theme</span>(</a>
+<a class="sourceLine" id="cb374-20" data-line-number="20"> <span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(</a>
+<a class="sourceLine" id="cb374-21" data-line-number="21"> <span class="dt">angle =</span> <span class="dv">45</span>, </a>
+<a class="sourceLine" id="cb374-22" data-line-number="22"> <span class="dt">vjust =</span> <span class="dv">1</span>, </a>
+<a class="sourceLine" id="cb374-23" data-line-number="23"> <span class="dt">size =</span> <span class="dv">12</span>, </a>
+<a class="sourceLine" id="cb374-24" data-line-number="24"> <span class="dt">hjust =</span> <span class="dv">1</span></a>
+<a class="sourceLine" id="cb374-25" data-line-number="25"> )</a>
+<a class="sourceLine" id="cb374-26" data-line-number="26"> ) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb374-27" data-line-number="27"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Effect of batch regression methods per individual"</span>)</a></code></pre></div>
<p><img src="remove-conf_files/figure-html/kbet-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>Exercise 4</strong></p>
<p>Why do the raw counts appear to have little batch effects?</p>
@@ -6703,214 +2294,214 @@ with other combinations of normalizations and compare the results.</p>
</div>
<div id="dealing-with-confounders-reads" class="section level2">
<h2><span class="header-section-number">7.7</span> Dealing with confounders (Reads)</h2>
-<div class="sourceCode" id="cb573"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb573-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
-<a class="sourceLine" id="cb573-2" data-line-number="2"><span class="kw">library</span>(RUVSeq)</a>
-<a class="sourceLine" id="cb573-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb573-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb573-5" data-line-number="5"><span class="kw">library</span>(scran)</a>
-<a class="sourceLine" id="cb573-6" data-line-number="6"><span class="kw">library</span>(kBET)</a>
-<a class="sourceLine" id="cb573-7" data-line-number="7"><span class="kw">library</span>(sva) <span class="co"># Combat</span></a>
-<a class="sourceLine" id="cb573-8" data-line-number="8"><span class="kw">library</span>(harmony)</a>
-<a class="sourceLine" id="cb573-9" data-line-number="9"><span class="kw">library</span>(edgeR)</a>
-<a class="sourceLine" id="cb573-10" data-line-number="10"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a>
-<a class="sourceLine" id="cb573-11" data-line-number="11"><span class="kw">options</span>(<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb573-12" data-line-number="12">reads <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/tung/reads.rds"</span>)</a>
-<a class="sourceLine" id="cb573-13" data-line-number="13">reads.qc <-<span class="st"> </span>reads[<span class="kw">rowData</span>(reads)<span class="op">$</span>use, <span class="kw">colData</span>(reads)<span class="op">$</span>use]</a>
-<a class="sourceLine" id="cb573-14" data-line-number="14">endog_genes <-<span class="st"> </span><span class="op">!</span><span class="kw">rowData</span>(reads.qc)<span class="op">$</span>is_feature_control</a>
-<a class="sourceLine" id="cb573-15" data-line-number="15">erccs <-<span class="st"> </span><span class="kw">rowData</span>(reads.qc)<span class="op">$</span>is_feature_control</a>
-<a class="sourceLine" id="cb573-16" data-line-number="16"></a>
-<a class="sourceLine" id="cb573-17" data-line-number="17">qclust <-<span class="st"> </span><span class="kw">quickCluster</span>(reads.qc, <span class="dt">min.size =</span> <span class="dv">30</span>)</a>
-<a class="sourceLine" id="cb573-18" data-line-number="18">reads.qc <-<span class="st"> </span><span class="kw">computeSumFactors</span>(reads.qc, <span class="dt">sizes =</span> <span class="dv">15</span>, <span class="dt">clusters =</span> qclust)</a>
-<a class="sourceLine" id="cb573-19" data-line-number="19">reads.qc <-<span class="st"> </span><span class="kw">normalize</span>(reads.qc)</a></code></pre></div>
-<div class="sourceCode" id="cb574"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb574-1" data-line-number="1">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(reads.qc), erccs, <span class="dt">k =</span> <span class="dv">1</span>)</a>
-<a class="sourceLine" id="cb574-2" data-line-number="2"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvg1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb574-3" data-line-number="3"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb574-4" data-line-number="4">)</a>
-<a class="sourceLine" id="cb574-5" data-line-number="5">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(reads.qc), erccs, <span class="dt">k =</span> <span class="dv">10</span>)</a>
-<a class="sourceLine" id="cb574-6" data-line-number="6"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvg10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb574-7" data-line-number="7"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb574-8" data-line-number="8">)</a></code></pre></div>
-<div class="sourceCode" id="cb575"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb575-1" data-line-number="1">scIdx <-<span class="st"> </span><span class="kw">matrix</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dt">ncol =</span> <span class="kw">max</span>(<span class="kw">table</span>(reads.qc<span class="op">$</span>individual)), <span class="dt">nrow =</span> <span class="dv">3</span>)</a>
-<a class="sourceLine" id="cb575-2" data-line-number="2">tmp <-<span class="st"> </span><span class="kw">which</span>(reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>)</a>
-<a class="sourceLine" id="cb575-3" data-line-number="3">scIdx[<span class="dv">1</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
-<a class="sourceLine" id="cb575-4" data-line-number="4">tmp <-<span class="st"> </span><span class="kw">which</span>(reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>)</a>
-<a class="sourceLine" id="cb575-5" data-line-number="5">scIdx[<span class="dv">2</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
-<a class="sourceLine" id="cb575-6" data-line-number="6">tmp <-<span class="st"> </span><span class="kw">which</span>(reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>)</a>
-<a class="sourceLine" id="cb575-7" data-line-number="7">scIdx[<span class="dv">3</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
-<a class="sourceLine" id="cb575-8" data-line-number="8">cIdx <-<span class="st"> </span><span class="kw">rownames</span>(reads.qc)</a>
-<a class="sourceLine" id="cb575-9" data-line-number="9">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(reads.qc), cIdx, <span class="dt">k =</span> <span class="dv">1</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb575-10" data-line-number="10"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvs1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb575-11" data-line-number="11"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb575-12" data-line-number="12">)</a>
-<a class="sourceLine" id="cb575-13" data-line-number="13">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(reads.qc), cIdx, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb575-14" data-line-number="14"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvs10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
-<a class="sourceLine" id="cb575-15" data-line-number="15"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
-<a class="sourceLine" id="cb575-16" data-line-number="16">)</a></code></pre></div>
-<div class="sourceCode" id="cb576"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb576-1" data-line-number="1">combat_data <-<span class="st"> </span><span class="kw">logcounts</span>(reads.qc)</a>
-<a class="sourceLine" id="cb576-2" data-line-number="2">mod_data <-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">t</span>(combat_data))</a>
-<a class="sourceLine" id="cb576-3" data-line-number="3"><span class="co"># Basic batch removal</span></a>
-<a class="sourceLine" id="cb576-4" data-line-number="4">mod0 =<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span><span class="dv">1</span>, <span class="dt">data =</span> mod_data) </a>
-<a class="sourceLine" id="cb576-5" data-line-number="5"><span class="co"># Preserve biological variability</span></a>
-<a class="sourceLine" id="cb576-6" data-line-number="6">mod1 =<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>reads.qc<span class="op">$</span>individual, <span class="dt">data =</span> mod_data) </a>
-<a class="sourceLine" id="cb576-7" data-line-number="7"><span class="co"># adjust for total genes detected</span></a>
-<a class="sourceLine" id="cb576-8" data-line-number="8">mod2 =<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>reads.qc<span class="op">$</span>total_features_by_counts, <span class="dt">data =</span> mod_data)</a>
-<a class="sourceLine" id="cb576-9" data-line-number="9"><span class="kw">assay</span>(reads.qc, <span class="st">"combat"</span>) <-<span class="st"> </span><span class="kw">ComBat</span>(</a>
-<a class="sourceLine" id="cb576-10" data-line-number="10"> <span class="dt">dat =</span> <span class="kw">t</span>(mod_data), </a>
-<a class="sourceLine" id="cb576-11" data-line-number="11"> <span class="dt">batch =</span> <span class="kw">factor</span>(reads.qc<span class="op">$</span>batch), </a>
-<a class="sourceLine" id="cb576-12" data-line-number="12"> <span class="dt">mod =</span> mod0,</a>
-<a class="sourceLine" id="cb576-13" data-line-number="13"> <span class="dt">par.prior =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb576-14" data-line-number="14"> <span class="dt">prior.plots =</span> <span class="ot">FALSE</span></a>
-<a class="sourceLine" id="cb576-15" data-line-number="15">)</a></code></pre></div>
+<div class="sourceCode" id="cb376"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb376-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
+<a class="sourceLine" id="cb376-2" data-line-number="2"><span class="kw">library</span>(RUVSeq)</a>
+<a class="sourceLine" id="cb376-3" data-line-number="3"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb376-4" data-line-number="4"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb376-5" data-line-number="5"><span class="kw">library</span>(scran)</a>
+<a class="sourceLine" id="cb376-6" data-line-number="6"><span class="kw">library</span>(kBET)</a>
+<a class="sourceLine" id="cb376-7" data-line-number="7"><span class="kw">library</span>(sva) <span class="co"># Combat</span></a>
+<a class="sourceLine" id="cb376-8" data-line-number="8"><span class="kw">library</span>(harmony)</a>
+<a class="sourceLine" id="cb376-9" data-line-number="9"><span class="kw">library</span>(edgeR)</a>
+<a class="sourceLine" id="cb376-10" data-line-number="10"><span class="kw">set.seed</span>(<span class="dv">1234567</span>)</a>
+<a class="sourceLine" id="cb376-11" data-line-number="11"><span class="kw">options</span>(<span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb376-12" data-line-number="12">reads <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/tung/reads.rds"</span>)</a>
+<a class="sourceLine" id="cb376-13" data-line-number="13">reads.qc <-<span class="st"> </span>reads[<span class="kw">rowData</span>(reads)<span class="op">$</span>use, <span class="kw">colData</span>(reads)<span class="op">$</span>use]</a>
+<a class="sourceLine" id="cb376-14" data-line-number="14">endog_genes <-<span class="st"> </span><span class="op">!</span><span class="kw">rowData</span>(reads.qc)<span class="op">$</span>is_feature_control</a>
+<a class="sourceLine" id="cb376-15" data-line-number="15">erccs <-<span class="st"> </span><span class="kw">rowData</span>(reads.qc)<span class="op">$</span>is_feature_control</a>
+<a class="sourceLine" id="cb376-16" data-line-number="16"></a>
+<a class="sourceLine" id="cb376-17" data-line-number="17">qclust <-<span class="st"> </span><span class="kw">quickCluster</span>(reads.qc, <span class="dt">min.size =</span> <span class="dv">30</span>)</a>
+<a class="sourceLine" id="cb376-18" data-line-number="18">reads.qc <-<span class="st"> </span><span class="kw">computeSumFactors</span>(reads.qc, <span class="dt">sizes =</span> <span class="dv">15</span>, <span class="dt">clusters =</span> qclust)</a>
+<a class="sourceLine" id="cb376-19" data-line-number="19">reads.qc <-<span class="st"> </span><span class="kw">normalize</span>(reads.qc)</a></code></pre></div>
+<div class="sourceCode" id="cb377"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb377-1" data-line-number="1">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(reads.qc), erccs, <span class="dt">k =</span> <span class="dv">1</span>)</a>
+<a class="sourceLine" id="cb377-2" data-line-number="2"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvg1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb377-3" data-line-number="3"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb377-4" data-line-number="4">)</a>
+<a class="sourceLine" id="cb377-5" data-line-number="5">ruvg <-<span class="st"> </span><span class="kw">RUVg</span>(<span class="kw">counts</span>(reads.qc), erccs, <span class="dt">k =</span> <span class="dv">10</span>)</a>
+<a class="sourceLine" id="cb377-6" data-line-number="6"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvg10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb377-7" data-line-number="7"> <span class="kw">t</span>(<span class="kw">t</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvg<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb377-8" data-line-number="8">)</a></code></pre></div>
+<div class="sourceCode" id="cb378"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb378-1" data-line-number="1">scIdx <-<span class="st"> </span><span class="kw">matrix</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dt">ncol =</span> <span class="kw">max</span>(<span class="kw">table</span>(reads.qc<span class="op">$</span>individual)), <span class="dt">nrow =</span> <span class="dv">3</span>)</a>
+<a class="sourceLine" id="cb378-2" data-line-number="2">tmp <-<span class="st"> </span><span class="kw">which</span>(reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>)</a>
+<a class="sourceLine" id="cb378-3" data-line-number="3">scIdx[<span class="dv">1</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
+<a class="sourceLine" id="cb378-4" data-line-number="4">tmp <-<span class="st"> </span><span class="kw">which</span>(reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>)</a>
+<a class="sourceLine" id="cb378-5" data-line-number="5">scIdx[<span class="dv">2</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
+<a class="sourceLine" id="cb378-6" data-line-number="6">tmp <-<span class="st"> </span><span class="kw">which</span>(reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>)</a>
+<a class="sourceLine" id="cb378-7" data-line-number="7">scIdx[<span class="dv">3</span>, <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(tmp)] <-<span class="st"> </span>tmp</a>
+<a class="sourceLine" id="cb378-8" data-line-number="8">cIdx <-<span class="st"> </span><span class="kw">rownames</span>(reads.qc)</a>
+<a class="sourceLine" id="cb378-9" data-line-number="9">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(reads.qc), cIdx, <span class="dt">k =</span> <span class="dv">1</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb378-10" data-line-number="10"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvs1"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb378-11" data-line-number="11"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb378-12" data-line-number="12">)</a>
+<a class="sourceLine" id="cb378-13" data-line-number="13">ruvs <-<span class="st"> </span><span class="kw">RUVs</span>(<span class="kw">counts</span>(reads.qc), cIdx, <span class="dt">k =</span> <span class="dv">10</span>, <span class="dt">scIdx =</span> scIdx, <span class="dt">isLog =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb378-14" data-line-number="14"><span class="kw">assay</span>(reads.qc, <span class="st">"ruvs10"</span>) <-<span class="st"> </span><span class="kw">log2</span>(</a>
+<a class="sourceLine" id="cb378-15" data-line-number="15"> <span class="kw">t</span>(<span class="kw">t</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">/</span><span class="st"> </span><span class="kw">colSums</span>(ruvs<span class="op">$</span>normalizedCounts) <span class="op">*</span><span class="st"> </span><span class="fl">1e6</span>) <span class="op">+</span><span class="st"> </span><span class="dv">1</span></a>
+<a class="sourceLine" id="cb378-16" data-line-number="16">)</a></code></pre></div>
+<div class="sourceCode" id="cb379"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb379-1" data-line-number="1">combat_data <-<span class="st"> </span><span class="kw">logcounts</span>(reads.qc)</a>
+<a class="sourceLine" id="cb379-2" data-line-number="2">mod_data <-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">t</span>(combat_data))</a>
+<a class="sourceLine" id="cb379-3" data-line-number="3"><span class="co"># Basic batch removal</span></a>
+<a class="sourceLine" id="cb379-4" data-line-number="4">mod0 =<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span><span class="dv">1</span>, <span class="dt">data =</span> mod_data) </a>
+<a class="sourceLine" id="cb379-5" data-line-number="5"><span class="co"># Preserve biological variability</span></a>
+<a class="sourceLine" id="cb379-6" data-line-number="6">mod1 =<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>reads.qc<span class="op">$</span>individual, <span class="dt">data =</span> mod_data) </a>
+<a class="sourceLine" id="cb379-7" data-line-number="7"><span class="co"># adjust for total genes detected</span></a>
+<a class="sourceLine" id="cb379-8" data-line-number="8">mod2 =<span class="st"> </span><span class="kw">model.matrix</span>(<span class="op">~</span><span class="st"> </span>reads.qc<span class="op">$</span>total_features_by_counts, <span class="dt">data =</span> mod_data)</a>
+<a class="sourceLine" id="cb379-9" data-line-number="9"><span class="kw">assay</span>(reads.qc, <span class="st">"combat"</span>) <-<span class="st"> </span><span class="kw">ComBat</span>(</a>
+<a class="sourceLine" id="cb379-10" data-line-number="10"> <span class="dt">dat =</span> <span class="kw">t</span>(mod_data), </a>
+<a class="sourceLine" id="cb379-11" data-line-number="11"> <span class="dt">batch =</span> <span class="kw">factor</span>(reads.qc<span class="op">$</span>batch), </a>
+<a class="sourceLine" id="cb379-12" data-line-number="12"> <span class="dt">mod =</span> mod0,</a>
+<a class="sourceLine" id="cb379-13" data-line-number="13"> <span class="dt">par.prior =</span> <span class="ot">TRUE</span>,</a>
+<a class="sourceLine" id="cb379-14" data-line-number="14"> <span class="dt">prior.plots =</span> <span class="ot">FALSE</span></a>
+<a class="sourceLine" id="cb379-15" data-line-number="15">)</a></code></pre></div>
<p><strong>Exercise 1</strong></p>
-<div class="sourceCode" id="cb577"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb577-1" data-line-number="1">do_mnn <-<span class="st"> </span><span class="cf">function</span>(data.qc) {</a>
-<a class="sourceLine" id="cb577-2" data-line-number="2"> batch1 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r1"</span>])</a>
-<a class="sourceLine" id="cb577-3" data-line-number="3"> batch2 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r2"</span>])</a>
-<a class="sourceLine" id="cb577-4" data-line-number="4"> batch3 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r3"</span>])</a>
-<a class="sourceLine" id="cb577-5" data-line-number="5"> </a>
-<a class="sourceLine" id="cb577-6" data-line-number="6"> <span class="cf">if</span> (<span class="kw">ncol</span>(batch2) <span class="op">></span><span class="st"> </span><span class="dv">0</span>) {</a>
-<a class="sourceLine" id="cb577-7" data-line-number="7"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
-<a class="sourceLine" id="cb577-8" data-line-number="8"> batch1, batch2, batch3,</a>
-<a class="sourceLine" id="cb577-9" data-line-number="9"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
-<a class="sourceLine" id="cb577-10" data-line-number="10"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
-<a class="sourceLine" id="cb577-11" data-line-number="11"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb577-12" data-line-number="12"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
-<a class="sourceLine" id="cb577-13" data-line-number="13"> )</a>
-<a class="sourceLine" id="cb577-14" data-line-number="14"> <span class="kw">return</span>(x)</a>
-<a class="sourceLine" id="cb577-15" data-line-number="15"> } <span class="cf">else</span> {</a>
-<a class="sourceLine" id="cb577-16" data-line-number="16"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
-<a class="sourceLine" id="cb577-17" data-line-number="17"> batch1, batch3,</a>
-<a class="sourceLine" id="cb577-18" data-line-number="18"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
-<a class="sourceLine" id="cb577-19" data-line-number="19"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
-<a class="sourceLine" id="cb577-20" data-line-number="20"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb577-21" data-line-number="21"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
-<a class="sourceLine" id="cb577-22" data-line-number="22"> )</a>
-<a class="sourceLine" id="cb577-23" data-line-number="23"> <span class="kw">return</span>(x)</a>
-<a class="sourceLine" id="cb577-24" data-line-number="24"> }</a>
-<a class="sourceLine" id="cb577-25" data-line-number="25">}</a>
-<a class="sourceLine" id="cb577-26" data-line-number="26"></a>
-<a class="sourceLine" id="cb577-27" data-line-number="27">indi1 <-<span class="st"> </span><span class="kw">do_mnn</span>(reads.qc[, reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>])</a>
-<a class="sourceLine" id="cb577-28" data-line-number="28">indi2 <-<span class="st"> </span><span class="kw">do_mnn</span>(reads.qc[, reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>])</a>
-<a class="sourceLine" id="cb577-29" data-line-number="29">indi3 <-<span class="st"> </span><span class="kw">do_mnn</span>(reads.qc[, reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>])</a>
-<a class="sourceLine" id="cb577-30" data-line-number="30"></a>
-<a class="sourceLine" id="cb577-31" data-line-number="31"><span class="kw">assay</span>(reads.qc, <span class="st">"mnn"</span>) <-<span class="st"> </span><span class="kw">cbind</span>(indi1, indi2, indi3)</a>
-<a class="sourceLine" id="cb577-32" data-line-number="32"></a>
-<a class="sourceLine" id="cb577-33" data-line-number="33"><span class="co"># For a balanced design: </span></a>
-<a class="sourceLine" id="cb577-34" data-line-number="34"><span class="co">#assay(reads.qc, "mnn") <- mnnCorrect(</span></a>
-<a class="sourceLine" id="cb577-35" data-line-number="35"><span class="co"># list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), </span></a>
-<a class="sourceLine" id="cb577-36" data-line-number="36"><span class="co"># k = 20,</span></a>
-<a class="sourceLine" id="cb577-37" data-line-number="37"><span class="co"># sigma = 0.1,</span></a>
-<a class="sourceLine" id="cb577-38" data-line-number="38"><span class="co"># cos.norm = TRUE,</span></a>
-<a class="sourceLine" id="cb577-39" data-line-number="39"><span class="co"># svd.dim = 2</span></a>
-<a class="sourceLine" id="cb577-40" data-line-number="40"><span class="co">#)</span></a></code></pre></div>
-<div class="sourceCode" id="cb578"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb578-1" data-line-number="1">glm_fun <-<span class="st"> </span><span class="cf">function</span>(g, batch, indi) {</a>
-<a class="sourceLine" id="cb578-2" data-line-number="2"> model <-<span class="st"> </span><span class="kw">glm</span>(g <span class="op">~</span><span class="st"> </span>batch <span class="op">+</span><span class="st"> </span>indi)</a>
-<a class="sourceLine" id="cb578-3" data-line-number="3"> model<span class="op">$</span>coef[<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co"># replace intercept with 0 to preserve reference batch.</span></a>
-<a class="sourceLine" id="cb578-4" data-line-number="4"> <span class="kw">return</span>(model<span class="op">$</span>coef)</a>
-<a class="sourceLine" id="cb578-5" data-line-number="5">}</a>
-<a class="sourceLine" id="cb578-6" data-line-number="6">effects <-<span class="st"> </span><span class="kw">apply</span>(</a>
-<a class="sourceLine" id="cb578-7" data-line-number="7"> <span class="kw">logcounts</span>(reads.qc), </a>
-<a class="sourceLine" id="cb578-8" data-line-number="8"> <span class="dv">1</span>,</a>
-<a class="sourceLine" id="cb578-9" data-line-number="9"> glm_fun, </a>
-<a class="sourceLine" id="cb578-10" data-line-number="10"> <span class="dt">batch =</span> reads.qc<span class="op">$</span>batch, </a>
-<a class="sourceLine" id="cb578-11" data-line-number="11"> <span class="dt">indi =</span> reads.qc<span class="op">$</span>individual</a>
-<a class="sourceLine" id="cb578-12" data-line-number="12">)</a>
-<a class="sourceLine" id="cb578-13" data-line-number="13">corrected <-<span class="st"> </span><span class="kw">logcounts</span>(reads.qc) <span class="op">-</span><span class="st"> </span><span class="kw">t</span>(effects[<span class="kw">as.numeric</span>(<span class="kw">factor</span>(reads.qc<span class="op">$</span>batch)), ])</a>
-<a class="sourceLine" id="cb578-14" data-line-number="14"><span class="kw">assay</span>(reads.qc, <span class="st">"glm"</span>) <-<span class="st"> </span>corrected</a></code></pre></div>
+<div class="sourceCode" id="cb380"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb380-1" data-line-number="1">do_mnn <-<span class="st"> </span><span class="cf">function</span>(data.qc) {</a>
+<a class="sourceLine" id="cb380-2" data-line-number="2"> batch1 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r1"</span>])</a>
+<a class="sourceLine" id="cb380-3" data-line-number="3"> batch2 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r2"</span>])</a>
+<a class="sourceLine" id="cb380-4" data-line-number="4"> batch3 <-<span class="st"> </span><span class="kw">logcounts</span>(data.qc[, data.qc<span class="op">$</span>replicate <span class="op">==</span><span class="st"> "r3"</span>])</a>
+<a class="sourceLine" id="cb380-5" data-line-number="5"> </a>
+<a class="sourceLine" id="cb380-6" data-line-number="6"> <span class="cf">if</span> (<span class="kw">ncol</span>(batch2) <span class="op">></span><span class="st"> </span><span class="dv">0</span>) {</a>
+<a class="sourceLine" id="cb380-7" data-line-number="7"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
+<a class="sourceLine" id="cb380-8" data-line-number="8"> batch1, batch2, batch3,</a>
+<a class="sourceLine" id="cb380-9" data-line-number="9"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
+<a class="sourceLine" id="cb380-10" data-line-number="10"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
+<a class="sourceLine" id="cb380-11" data-line-number="11"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
+<a class="sourceLine" id="cb380-12" data-line-number="12"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
+<a class="sourceLine" id="cb380-13" data-line-number="13"> )</a>
+<a class="sourceLine" id="cb380-14" data-line-number="14"> <span class="kw">return</span>(x)</a>
+<a class="sourceLine" id="cb380-15" data-line-number="15"> } <span class="cf">else</span> {</a>
+<a class="sourceLine" id="cb380-16" data-line-number="16"> x <-<span class="st"> </span>batchelor<span class="op">::</span><span class="kw">mnnCorrect</span>(</a>
+<a class="sourceLine" id="cb380-17" data-line-number="17"> batch1, batch3,</a>
+<a class="sourceLine" id="cb380-18" data-line-number="18"> <span class="dt">k =</span> <span class="dv">20</span>,</a>
+<a class="sourceLine" id="cb380-19" data-line-number="19"> <span class="dt">sigma =</span> <span class="fl">0.1</span>,</a>
+<a class="sourceLine" id="cb380-20" data-line-number="20"> <span class="dt">cos.norm.in =</span> <span class="ot">TRUE</span>,</a>
+<a class="sourceLine" id="cb380-21" data-line-number="21"> <span class="dt">svd.dim =</span> <span class="dv">2</span></a>
+<a class="sourceLine" id="cb380-22" data-line-number="22"> )</a>
+<a class="sourceLine" id="cb380-23" data-line-number="23"> <span class="kw">return</span>(x)</a>
+<a class="sourceLine" id="cb380-24" data-line-number="24"> }</a>
+<a class="sourceLine" id="cb380-25" data-line-number="25">}</a>
+<a class="sourceLine" id="cb380-26" data-line-number="26"></a>
+<a class="sourceLine" id="cb380-27" data-line-number="27">indi1 <-<span class="st"> </span><span class="kw">do_mnn</span>(reads.qc[, reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19098"</span>])</a>
+<a class="sourceLine" id="cb380-28" data-line-number="28">indi2 <-<span class="st"> </span><span class="kw">do_mnn</span>(reads.qc[, reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19101"</span>])</a>
+<a class="sourceLine" id="cb380-29" data-line-number="29">indi3 <-<span class="st"> </span><span class="kw">do_mnn</span>(reads.qc[, reads.qc<span class="op">$</span>individual <span class="op">==</span><span class="st"> "NA19239"</span>])</a>
+<a class="sourceLine" id="cb380-30" data-line-number="30"></a>
+<a class="sourceLine" id="cb380-31" data-line-number="31"><span class="kw">assay</span>(reads.qc, <span class="st">"mnn"</span>) <-<span class="st"> </span><span class="kw">cbind</span>(indi1, indi2, indi3)</a>
+<a class="sourceLine" id="cb380-32" data-line-number="32"></a>
+<a class="sourceLine" id="cb380-33" data-line-number="33"><span class="co"># For a balanced design: </span></a>
+<a class="sourceLine" id="cb380-34" data-line-number="34"><span class="co">#assay(reads.qc, "mnn") <- mnnCorrect(</span></a>
+<a class="sourceLine" id="cb380-35" data-line-number="35"><span class="co"># list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), </span></a>
+<a class="sourceLine" id="cb380-36" data-line-number="36"><span class="co"># k = 20,</span></a>
+<a class="sourceLine" id="cb380-37" data-line-number="37"><span class="co"># sigma = 0.1,</span></a>
+<a class="sourceLine" id="cb380-38" data-line-number="38"><span class="co"># cos.norm = TRUE,</span></a>
+<a class="sourceLine" id="cb380-39" data-line-number="39"><span class="co"># svd.dim = 2</span></a>
+<a class="sourceLine" id="cb380-40" data-line-number="40"><span class="co">#)</span></a></code></pre></div>
+<div class="sourceCode" id="cb381"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb381-1" data-line-number="1">glm_fun <-<span class="st"> </span><span class="cf">function</span>(g, batch, indi) {</a>
+<a class="sourceLine" id="cb381-2" data-line-number="2"> model <-<span class="st"> </span><span class="kw">glm</span>(g <span class="op">~</span><span class="st"> </span>batch <span class="op">+</span><span class="st"> </span>indi)</a>
+<a class="sourceLine" id="cb381-3" data-line-number="3"> model<span class="op">$</span>coef[<span class="dv">1</span>] <-<span class="st"> </span><span class="dv">0</span> <span class="co"># replace intercept with 0 to preserve reference batch.</span></a>
+<a class="sourceLine" id="cb381-4" data-line-number="4"> <span class="kw">return</span>(model<span class="op">$</span>coef)</a>
+<a class="sourceLine" id="cb381-5" data-line-number="5">}</a>
+<a class="sourceLine" id="cb381-6" data-line-number="6">effects <-<span class="st"> </span><span class="kw">apply</span>(</a>
+<a class="sourceLine" id="cb381-7" data-line-number="7"> <span class="kw">logcounts</span>(reads.qc), </a>
+<a class="sourceLine" id="cb381-8" data-line-number="8"> <span class="dv">1</span>,</a>
+<a class="sourceLine" id="cb381-9" data-line-number="9"> glm_fun, </a>
+<a class="sourceLine" id="cb381-10" data-line-number="10"> <span class="dt">batch =</span> reads.qc<span class="op">$</span>batch, </a>
+<a class="sourceLine" id="cb381-11" data-line-number="11"> <span class="dt">indi =</span> reads.qc<span class="op">$</span>individual</a>
+<a class="sourceLine" id="cb381-12" data-line-number="12">)</a>
+<a class="sourceLine" id="cb381-13" data-line-number="13">corrected <-<span class="st"> </span><span class="kw">logcounts</span>(reads.qc) <span class="op">-</span><span class="st"> </span><span class="kw">t</span>(effects[<span class="kw">as.numeric</span>(<span class="kw">factor</span>(reads.qc<span class="op">$</span>batch)), ])</a>
+<a class="sourceLine" id="cb381-14" data-line-number="14"><span class="kw">assay</span>(reads.qc, <span class="st">"glm"</span>) <-<span class="st"> </span>corrected</a></code></pre></div>
<p><strong>Exercise 2</strong></p>
-<div class="sourceCode" id="cb579"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb579-1" data-line-number="1">reads.qc.endog =<span class="st"> </span>reads.qc[endog_genes,]</a>
-<a class="sourceLine" id="cb579-2" data-line-number="2">reads.qc.endog =<span class="st"> </span><span class="kw">runPCA</span>(reads.qc.endog, <span class="dt">exprs_values =</span> <span class="st">'logcounts'</span>, <span class="dt">ncomponents =</span> <span class="dv">20</span>)</a>
-<a class="sourceLine" id="cb579-3" data-line-number="3">pca <-<span class="st"> </span><span class="kw">as.matrix</span>(reads.qc.endog<span class="op">@</span>reducedDims<span class="op">@</span>listData[[<span class="st">"PCA"</span>]])</a>
-<a class="sourceLine" id="cb579-4" data-line-number="4">harmony_emb <-<span class="st"> </span><span class="kw">HarmonyMatrix</span>(pca, reads.qc.endog<span class="op">$</span>batch, <span class="dt">theta=</span><span class="dv">2</span>, <span class="dt">do_pca=</span><span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb579-5" data-line-number="5">reads.qc.endog<span class="op">@</span>reducedDims<span class="op">@</span>listData[[<span class="st">'harmony'</span>]] <-<span class="st"> </span>harmony_emb</a>
-<a class="sourceLine" id="cb579-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb579-7" data-line-number="7"><span class="kw">plotReducedDim</span>(</a>
-<a class="sourceLine" id="cb579-8" data-line-number="8"> reads.qc.endog,</a>
-<a class="sourceLine" id="cb579-9" data-line-number="9"> <span class="dt">use_dimred =</span> <span class="st">'harmony'</span>,</a>
-<a class="sourceLine" id="cb579-10" data-line-number="10"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb579-11" data-line-number="11"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb579-12" data-line-number="12"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb579-13" data-line-number="13">)</a></code></pre></div>
-<div class="sourceCode" id="cb580"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb580-1" data-line-number="1"><span class="cf">for</span>(n <span class="cf">in</span> <span class="kw">assayNames</span>(reads.qc)) {</a>
-<a class="sourceLine" id="cb580-2" data-line-number="2"> tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
-<a class="sourceLine" id="cb580-3" data-line-number="3"> reads.qc[endog_genes, ],</a>
-<a class="sourceLine" id="cb580-4" data-line-number="4"> <span class="dt">exprs_values =</span> n</a>
-<a class="sourceLine" id="cb580-5" data-line-number="5"> )</a>
-<a class="sourceLine" id="cb580-6" data-line-number="6"> <span class="kw">print</span>(</a>
-<a class="sourceLine" id="cb580-7" data-line-number="7"> <span class="kw">plotPCA</span>(</a>
-<a class="sourceLine" id="cb580-8" data-line-number="8"> tmp,</a>
-<a class="sourceLine" id="cb580-9" data-line-number="9"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
-<a class="sourceLine" id="cb580-10" data-line-number="10"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
-<a class="sourceLine" id="cb580-11" data-line-number="11"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
-<a class="sourceLine" id="cb580-12" data-line-number="12"> ) <span class="op">+</span></a>
-<a class="sourceLine" id="cb580-13" data-line-number="13"><span class="st"> </span><span class="kw">ggtitle</span>(n)</a>
-<a class="sourceLine" id="cb580-14" data-line-number="14"> )</a>
-<a class="sourceLine" id="cb580-15" data-line-number="15">}</a></code></pre></div>
-<div class="sourceCode" id="cb581"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb581-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">list</span>()</a>
-<a class="sourceLine" id="cb581-2" data-line-number="2"><span class="cf">for</span>(n <span class="cf">in</span> <span class="kw">assayNames</span>(reads.qc)) {</a>
-<a class="sourceLine" id="cb581-3" data-line-number="3"> res[[n]] <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">calc_cell_RLE</span>(<span class="kw">assay</span>(reads.qc, n), erccs))</a>
-<a class="sourceLine" id="cb581-4" data-line-number="4">}</a>
-<a class="sourceLine" id="cb581-5" data-line-number="5"><span class="kw">par</span>(<span class="dt">mar=</span><span class="kw">c</span>(<span class="dv">6</span>,<span class="dv">4</span>,<span class="dv">1</span>,<span class="dv">1</span>))</a>
-<a class="sourceLine" id="cb581-6" data-line-number="6"><span class="kw">boxplot</span>(res, <span class="dt">las=</span><span class="dv">2</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb582"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb582-1" data-line-number="1">compare_kBET_results <-<span class="st"> </span><span class="cf">function</span>(sce){</a>
-<a class="sourceLine" id="cb582-2" data-line-number="2"> indiv <-<span class="st"> </span><span class="kw">unique</span>(sce<span class="op">$</span>individual)</a>
-<a class="sourceLine" id="cb582-3" data-line-number="3"> norms <-<span class="st"> </span><span class="kw">assayNames</span>(sce) <span class="co"># Get all normalizations</span></a>
-<a class="sourceLine" id="cb582-4" data-line-number="4"> results <-<span class="st"> </span><span class="kw">list</span>()</a>
-<a class="sourceLine" id="cb582-5" data-line-number="5"> <span class="cf">for</span> (i <span class="cf">in</span> indiv){ </a>
-<a class="sourceLine" id="cb582-6" data-line-number="6"> <span class="cf">for</span> (j <span class="cf">in</span> norms){</a>
-<a class="sourceLine" id="cb582-7" data-line-number="7"> tmp <-<span class="st"> </span><span class="kw">kBET</span>(</a>
-<a class="sourceLine" id="cb582-8" data-line-number="8"> <span class="dt">df =</span> <span class="kw">t</span>(<span class="kw">assay</span>(sce[,sce<span class="op">$</span>individual<span class="op">==</span><span class="st"> </span>i], j)), </a>
-<a class="sourceLine" id="cb582-9" data-line-number="9"> <span class="dt">batch =</span> sce<span class="op">$</span>batch[sce<span class="op">$</span>individual<span class="op">==</span>i], </a>
-<a class="sourceLine" id="cb582-10" data-line-number="10"> <span class="dt">heuristic =</span> <span class="ot">TRUE</span>, </a>
-<a class="sourceLine" id="cb582-11" data-line-number="11"> <span class="dt">verbose =</span> <span class="ot">FALSE</span>, </a>
-<a class="sourceLine" id="cb582-12" data-line-number="12"> <span class="dt">addTest =</span> <span class="ot">FALSE</span>, </a>
-<a class="sourceLine" id="cb582-13" data-line-number="13"> <span class="dt">plot =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb582-14" data-line-number="14"> results[[i]][[j]] <-<span class="st"> </span>tmp<span class="op">$</span>summary<span class="op">$</span>kBET.observed[<span class="dv">1</span>]</a>
-<a class="sourceLine" id="cb582-15" data-line-number="15"> }</a>
-<a class="sourceLine" id="cb582-16" data-line-number="16"> }</a>
-<a class="sourceLine" id="cb582-17" data-line-number="17"> <span class="kw">return</span>(<span class="kw">as.data.frame</span>(results))</a>
-<a class="sourceLine" id="cb582-18" data-line-number="18">}</a>
-<a class="sourceLine" id="cb582-19" data-line-number="19"></a>
-<a class="sourceLine" id="cb582-20" data-line-number="20">eff_debatching <-<span class="st"> </span><span class="kw">compare_kBET_results</span>(reads.qc)</a></code></pre></div>
-<div class="sourceCode" id="cb583"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb583-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"reshape2"</span>)</a>
-<a class="sourceLine" id="cb583-2" data-line-number="2"><span class="kw">require</span>(<span class="st">"RColorBrewer"</span>)</a>
-<a class="sourceLine" id="cb583-3" data-line-number="3"><span class="co"># Plot results</span></a>
-<a class="sourceLine" id="cb583-4" data-line-number="4">dod <-<span class="st"> </span><span class="kw">melt</span>(<span class="kw">as.matrix</span>(eff_debatching), <span class="dt">value.name =</span> <span class="st">"kBET"</span>)</a>
-<a class="sourceLine" id="cb583-5" data-line-number="5"><span class="kw">colnames</span>(dod)[<span class="dv">1</span><span class="op">:</span><span class="dv">2</span>] <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Normalisation"</span>, <span class="st">"Individual"</span>)</a>
-<a class="sourceLine" id="cb583-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb583-7" data-line-number="7">colorset <-<span class="st"> </span><span class="kw">c</span>(<span class="st">'gray'</span>, <span class="kw">brewer.pal</span>(<span class="dt">n =</span> <span class="dv">9</span>, <span class="st">"RdYlBu"</span>))</a>
-<a class="sourceLine" id="cb583-8" data-line-number="8"></a>
-<a class="sourceLine" id="cb583-9" data-line-number="9"><span class="kw">ggplot</span>(dod, <span class="kw">aes</span>(Normalisation, Individual, <span class="dt">fill=</span>kBET)) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb583-10" data-line-number="10"><span class="st"> </span><span class="kw">geom_tile</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb583-11" data-line-number="11"><span class="st"> </span><span class="kw">scale_fill_gradient2</span>(</a>
-<a class="sourceLine" id="cb583-12" data-line-number="12"> <span class="dt">na.value =</span> <span class="st">"gray"</span>,</a>
-<a class="sourceLine" id="cb583-13" data-line-number="13"> <span class="dt">low =</span> colorset[<span class="dv">2</span>],</a>
-<a class="sourceLine" id="cb583-14" data-line-number="14"> <span class="dt">mid=</span>colorset[<span class="dv">6</span>],</a>
-<a class="sourceLine" id="cb583-15" data-line-number="15"> <span class="dt">high =</span> colorset[<span class="dv">10</span>],</a>
-<a class="sourceLine" id="cb583-16" data-line-number="16"> <span class="dt">midpoint =</span> <span class="fl">0.5</span>, <span class="dt">limit =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">1</span>)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb583-17" data-line-number="17"><span class="st"> </span><span class="kw">scale_x_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb583-18" data-line-number="18"><span class="st"> </span><span class="kw">scale_y_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb583-19" data-line-number="19"><span class="st"> </span><span class="kw">theme</span>(</a>
-<a class="sourceLine" id="cb583-20" data-line-number="20"> <span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(</a>
-<a class="sourceLine" id="cb583-21" data-line-number="21"> <span class="dt">angle =</span> <span class="dv">45</span>, </a>
-<a class="sourceLine" id="cb583-22" data-line-number="22"> <span class="dt">vjust =</span> <span class="dv">1</span>, </a>
-<a class="sourceLine" id="cb583-23" data-line-number="23"> <span class="dt">size =</span> <span class="dv">12</span>, </a>
-<a class="sourceLine" id="cb583-24" data-line-number="24"> <span class="dt">hjust =</span> <span class="dv">1</span></a>
-<a class="sourceLine" id="cb583-25" data-line-number="25"> )</a>
-<a class="sourceLine" id="cb583-26" data-line-number="26"> ) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb583-27" data-line-number="27"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Effect of batch regression methods per individual"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb382"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb382-1" data-line-number="1">reads.qc.endog =<span class="st"> </span>reads.qc[endog_genes,]</a>
+<a class="sourceLine" id="cb382-2" data-line-number="2">reads.qc.endog =<span class="st"> </span><span class="kw">runPCA</span>(reads.qc.endog, <span class="dt">exprs_values =</span> <span class="st">'logcounts'</span>, <span class="dt">ncomponents =</span> <span class="dv">20</span>)</a>
+<a class="sourceLine" id="cb382-3" data-line-number="3">pca <-<span class="st"> </span><span class="kw">as.matrix</span>(reads.qc.endog<span class="op">@</span>reducedDims<span class="op">@</span>listData[[<span class="st">"PCA"</span>]])</a>
+<a class="sourceLine" id="cb382-4" data-line-number="4">harmony_emb <-<span class="st"> </span><span class="kw">HarmonyMatrix</span>(pca, reads.qc.endog<span class="op">$</span>batch, <span class="dt">theta=</span><span class="dv">2</span>, <span class="dt">do_pca=</span><span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb382-5" data-line-number="5">reads.qc.endog<span class="op">@</span>reducedDims<span class="op">@</span>listData[[<span class="st">'harmony'</span>]] <-<span class="st"> </span>harmony_emb</a>
+<a class="sourceLine" id="cb382-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb382-7" data-line-number="7"><span class="kw">plotReducedDim</span>(</a>
+<a class="sourceLine" id="cb382-8" data-line-number="8"> reads.qc.endog,</a>
+<a class="sourceLine" id="cb382-9" data-line-number="9"> <span class="dt">use_dimred =</span> <span class="st">'harmony'</span>,</a>
+<a class="sourceLine" id="cb382-10" data-line-number="10"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb382-11" data-line-number="11"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb382-12" data-line-number="12"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb382-13" data-line-number="13">)</a></code></pre></div>
+<div class="sourceCode" id="cb383"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb383-1" data-line-number="1"><span class="cf">for</span>(n <span class="cf">in</span> <span class="kw">assayNames</span>(reads.qc)) {</a>
+<a class="sourceLine" id="cb383-2" data-line-number="2"> tmp <-<span class="st"> </span><span class="kw">runPCA</span>(</a>
+<a class="sourceLine" id="cb383-3" data-line-number="3"> reads.qc[endog_genes, ],</a>
+<a class="sourceLine" id="cb383-4" data-line-number="4"> <span class="dt">exprs_values =</span> n</a>
+<a class="sourceLine" id="cb383-5" data-line-number="5"> )</a>
+<a class="sourceLine" id="cb383-6" data-line-number="6"> <span class="kw">print</span>(</a>
+<a class="sourceLine" id="cb383-7" data-line-number="7"> <span class="kw">plotPCA</span>(</a>
+<a class="sourceLine" id="cb383-8" data-line-number="8"> tmp,</a>
+<a class="sourceLine" id="cb383-9" data-line-number="9"> <span class="dt">colour_by =</span> <span class="st">"batch"</span>,</a>
+<a class="sourceLine" id="cb383-10" data-line-number="10"> <span class="dt">size_by =</span> <span class="st">"total_features_by_counts"</span>,</a>
+<a class="sourceLine" id="cb383-11" data-line-number="11"> <span class="dt">shape_by =</span> <span class="st">"individual"</span></a>
+<a class="sourceLine" id="cb383-12" data-line-number="12"> ) <span class="op">+</span></a>
+<a class="sourceLine" id="cb383-13" data-line-number="13"><span class="st"> </span><span class="kw">ggtitle</span>(n)</a>
+<a class="sourceLine" id="cb383-14" data-line-number="14"> )</a>
+<a class="sourceLine" id="cb383-15" data-line-number="15">}</a></code></pre></div>
+<div class="sourceCode" id="cb384"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb384-1" data-line-number="1">res <-<span class="st"> </span><span class="kw">list</span>()</a>
+<a class="sourceLine" id="cb384-2" data-line-number="2"><span class="cf">for</span>(n <span class="cf">in</span> <span class="kw">assayNames</span>(reads.qc)) {</a>
+<a class="sourceLine" id="cb384-3" data-line-number="3"> res[[n]] <-<span class="st"> </span><span class="kw">suppressWarnings</span>(<span class="kw">calc_cell_RLE</span>(<span class="kw">assay</span>(reads.qc, n), erccs))</a>
+<a class="sourceLine" id="cb384-4" data-line-number="4">}</a>
+<a class="sourceLine" id="cb384-5" data-line-number="5"><span class="kw">par</span>(<span class="dt">mar=</span><span class="kw">c</span>(<span class="dv">6</span>,<span class="dv">4</span>,<span class="dv">1</span>,<span class="dv">1</span>))</a>
+<a class="sourceLine" id="cb384-6" data-line-number="6"><span class="kw">boxplot</span>(res, <span class="dt">las=</span><span class="dv">2</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb385"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb385-1" data-line-number="1">compare_kBET_results <-<span class="st"> </span><span class="cf">function</span>(sce){</a>
+<a class="sourceLine" id="cb385-2" data-line-number="2"> indiv <-<span class="st"> </span><span class="kw">unique</span>(sce<span class="op">$</span>individual)</a>
+<a class="sourceLine" id="cb385-3" data-line-number="3"> norms <-<span class="st"> </span><span class="kw">assayNames</span>(sce) <span class="co"># Get all normalizations</span></a>
+<a class="sourceLine" id="cb385-4" data-line-number="4"> results <-<span class="st"> </span><span class="kw">list</span>()</a>
+<a class="sourceLine" id="cb385-5" data-line-number="5"> <span class="cf">for</span> (i <span class="cf">in</span> indiv){ </a>
+<a class="sourceLine" id="cb385-6" data-line-number="6"> <span class="cf">for</span> (j <span class="cf">in</span> norms){</a>
+<a class="sourceLine" id="cb385-7" data-line-number="7"> tmp <-<span class="st"> </span><span class="kw">kBET</span>(</a>
+<a class="sourceLine" id="cb385-8" data-line-number="8"> <span class="dt">df =</span> <span class="kw">t</span>(<span class="kw">assay</span>(sce[,sce<span class="op">$</span>individual<span class="op">==</span><span class="st"> </span>i], j)), </a>
+<a class="sourceLine" id="cb385-9" data-line-number="9"> <span class="dt">batch =</span> sce<span class="op">$</span>batch[sce<span class="op">$</span>individual<span class="op">==</span>i], </a>
+<a class="sourceLine" id="cb385-10" data-line-number="10"> <span class="dt">heuristic =</span> <span class="ot">TRUE</span>, </a>
+<a class="sourceLine" id="cb385-11" data-line-number="11"> <span class="dt">verbose =</span> <span class="ot">FALSE</span>, </a>
+<a class="sourceLine" id="cb385-12" data-line-number="12"> <span class="dt">addTest =</span> <span class="ot">FALSE</span>, </a>
+<a class="sourceLine" id="cb385-13" data-line-number="13"> <span class="dt">plot =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb385-14" data-line-number="14"> results[[i]][[j]] <-<span class="st"> </span>tmp<span class="op">$</span>summary<span class="op">$</span>kBET.observed[<span class="dv">1</span>]</a>
+<a class="sourceLine" id="cb385-15" data-line-number="15"> }</a>
+<a class="sourceLine" id="cb385-16" data-line-number="16"> }</a>
+<a class="sourceLine" id="cb385-17" data-line-number="17"> <span class="kw">return</span>(<span class="kw">as.data.frame</span>(results))</a>
+<a class="sourceLine" id="cb385-18" data-line-number="18">}</a>
+<a class="sourceLine" id="cb385-19" data-line-number="19"></a>
+<a class="sourceLine" id="cb385-20" data-line-number="20">eff_debatching <-<span class="st"> </span><span class="kw">compare_kBET_results</span>(reads.qc)</a></code></pre></div>
+<div class="sourceCode" id="cb386"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb386-1" data-line-number="1"><span class="kw">require</span>(<span class="st">"reshape2"</span>)</a>
+<a class="sourceLine" id="cb386-2" data-line-number="2"><span class="kw">require</span>(<span class="st">"RColorBrewer"</span>)</a>
+<a class="sourceLine" id="cb386-3" data-line-number="3"><span class="co"># Plot results</span></a>
+<a class="sourceLine" id="cb386-4" data-line-number="4">dod <-<span class="st"> </span><span class="kw">melt</span>(<span class="kw">as.matrix</span>(eff_debatching), <span class="dt">value.name =</span> <span class="st">"kBET"</span>)</a>
+<a class="sourceLine" id="cb386-5" data-line-number="5"><span class="kw">colnames</span>(dod)[<span class="dv">1</span><span class="op">:</span><span class="dv">2</span>] <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Normalisation"</span>, <span class="st">"Individual"</span>)</a>
+<a class="sourceLine" id="cb386-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb386-7" data-line-number="7">colorset <-<span class="st"> </span><span class="kw">c</span>(<span class="st">'gray'</span>, <span class="kw">brewer.pal</span>(<span class="dt">n =</span> <span class="dv">9</span>, <span class="st">"RdYlBu"</span>))</a>
+<a class="sourceLine" id="cb386-8" data-line-number="8"></a>
+<a class="sourceLine" id="cb386-9" data-line-number="9"><span class="kw">ggplot</span>(dod, <span class="kw">aes</span>(Normalisation, Individual, <span class="dt">fill=</span>kBET)) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb386-10" data-line-number="10"><span class="st"> </span><span class="kw">geom_tile</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb386-11" data-line-number="11"><span class="st"> </span><span class="kw">scale_fill_gradient2</span>(</a>
+<a class="sourceLine" id="cb386-12" data-line-number="12"> <span class="dt">na.value =</span> <span class="st">"gray"</span>,</a>
+<a class="sourceLine" id="cb386-13" data-line-number="13"> <span class="dt">low =</span> colorset[<span class="dv">2</span>],</a>
+<a class="sourceLine" id="cb386-14" data-line-number="14"> <span class="dt">mid=</span>colorset[<span class="dv">6</span>],</a>
+<a class="sourceLine" id="cb386-15" data-line-number="15"> <span class="dt">high =</span> colorset[<span class="dv">10</span>],</a>
+<a class="sourceLine" id="cb386-16" data-line-number="16"> <span class="dt">midpoint =</span> <span class="fl">0.5</span>, <span class="dt">limit =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">1</span>)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb386-17" data-line-number="17"><span class="st"> </span><span class="kw">scale_x_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb386-18" data-line-number="18"><span class="st"> </span><span class="kw">scale_y_discrete</span>(<span class="dt">expand =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>)) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb386-19" data-line-number="19"><span class="st"> </span><span class="kw">theme</span>(</a>
+<a class="sourceLine" id="cb386-20" data-line-number="20"> <span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(</a>
+<a class="sourceLine" id="cb386-21" data-line-number="21"> <span class="dt">angle =</span> <span class="dv">45</span>, </a>
+<a class="sourceLine" id="cb386-22" data-line-number="22"> <span class="dt">vjust =</span> <span class="dv">1</span>, </a>
+<a class="sourceLine" id="cb386-23" data-line-number="23"> <span class="dt">size =</span> <span class="dv">12</span>, </a>
+<a class="sourceLine" id="cb386-24" data-line-number="24"> <span class="dt">hjust =</span> <span class="dv">1</span></a>
+<a class="sourceLine" id="cb386-25" data-line-number="25"> )</a>
+<a class="sourceLine" id="cb386-26" data-line-number="26"> ) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb386-27" data-line-number="27"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Effect of batch regression methods per individual"</span>)</a></code></pre></div>
</div>
<div id="feature-selection" class="section level2">
<h2><span class="header-section-number">7.8</span> Feature Selection</h2>
-<div class="sourceCode" id="cb584"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb584-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
-<a class="sourceLine" id="cb584-2" data-line-number="2"><span class="kw">library</span>(matrixStats)</a>
-<a class="sourceLine" id="cb584-3" data-line-number="3"><span class="kw">library</span>(M3Drop)</a>
-<a class="sourceLine" id="cb584-4" data-line-number="4"><span class="kw">library</span>(RColorBrewer)</a>
-<a class="sourceLine" id="cb584-5" data-line-number="5"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb584-6" data-line-number="6"><span class="kw">library</span>(Polychrome)</a>
-<a class="sourceLine" id="cb584-7" data-line-number="7"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb584-8" data-line-number="8"><span class="kw">library</span>(scran)</a>
-<a class="sourceLine" id="cb584-9" data-line-number="9"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb387"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb387-1" data-line-number="1"><span class="kw">library</span>(scRNA.seq.funcs)</a>
+<a class="sourceLine" id="cb387-2" data-line-number="2"><span class="kw">library</span>(matrixStats)</a>
+<a class="sourceLine" id="cb387-3" data-line-number="3"><span class="kw">library</span>(M3Drop)</a>
+<a class="sourceLine" id="cb387-4" data-line-number="4"><span class="kw">library</span>(RColorBrewer)</a>
+<a class="sourceLine" id="cb387-5" data-line-number="5"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb387-6" data-line-number="6"><span class="kw">library</span>(Polychrome)</a>
+<a class="sourceLine" id="cb387-7" data-line-number="7"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb387-8" data-line-number="8"><span class="kw">library</span>(scran)</a>
+<a class="sourceLine" id="cb387-9" data-line-number="9"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a></code></pre></div>
<p>Single-cell RNASeq is capable of measuring the expression of many
thousands of genes in every cell. However, in most situations only a
portion of those will show a response to the biological condition of
@@ -6932,10 +2523,10 @@ can be considered a form of supervised feature selection since it uses the
known biological label of each sample to identify features (i.e. genes) which
are expressed at different levels across groups.</p>
<p>For this section we will continue working with the Deng data.</p>
-<div class="sourceCode" id="cb585"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb585-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
-<a class="sourceLine" id="cb585-2" data-line-number="2">celltype_labs <-<span class="st"> </span><span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2</a>
-<a class="sourceLine" id="cb585-3" data-line-number="3">cell_colors <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">10</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
-<a class="sourceLine" id="cb585-4" data-line-number="4"><span class="kw">names</span>(cell_colors) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(celltype_labs))</a></code></pre></div>
+<div class="sourceCode" id="cb388"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb388-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
+<a class="sourceLine" id="cb388-2" data-line-number="2">celltype_labs <-<span class="st"> </span><span class="kw">colData</span>(deng)<span class="op">$</span>cell_type2</a>
+<a class="sourceLine" id="cb388-3" data-line-number="3">cell_colors <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">10</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
+<a class="sourceLine" id="cb388-4" data-line-number="4"><span class="kw">names</span>(cell_colors) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(celltype_labs))</a></code></pre></div>
<p>Feature selection is performed after QC, however this data has already been QCed so
we can skip that step here. M3Drop contain two different feature selection methods
“M3DropFeatureSelection†which is based on a Michaelis-Menten curve and is designed
@@ -6945,13 +2536,13 @@ is designed for UMI count data. We will demonstrate both on the Deng Smartseq2 d
<p>M3Drop feature selection is runs direction on a normalized (but not log-transformed)
expression matrix. This can be extracted from our SingleCellExperiment object using the
command below.</p>
-<div class="sourceCode" id="cb586"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb586-1" data-line-number="1">expr_matrix <-<span class="st"> </span>M3Drop<span class="op">::</span><span class="kw">M3DropConvertData</span>(deng)</a></code></pre></div>
+<div class="sourceCode" id="cb389"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb389-1" data-line-number="1">expr_matrix <-<span class="st"> </span>M3Drop<span class="op">::</span><span class="kw">M3DropConvertData</span>(deng)</a></code></pre></div>
<pre><code>## [1] "Removing 1134 undetected genes."</code></pre>
<p>This function is compatible with most single-cell RNA-seq analysis packages including:
scater, SingleCellExperiment, monocle, and Seurat. It can also convert an existing
expression matrix to the correct form (removing undetected genes & normalizing/delogging)
if you specify whether the matrix is raw counts, or log transformed. Check the manual for details:</p>
-<div class="sourceCode" id="cb588"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb588-1" data-line-number="1">?M3Drop<span class="op">::</span>M3DropConvertData</a></code></pre></div>
+<div class="sourceCode" id="cb391"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb391-1" data-line-number="1">?M3Drop<span class="op">::</span>M3DropConvertData</a></code></pre></div>
<p><strong>Exercise 1</strong>: Confirm that the conversion function has removed undetected genes:</p>
<div id="identifying-genes-vs-a-null-model" class="section level3">
<h3><span class="header-section-number">7.8.1</span> Identifying Genes vs a Null Model</h3>
@@ -6991,17 +2582,17 @@ estimate the technical noise.</p>
<p>In the figure below the red curve is the fitted technical noise model and the
dashed line is the 95% CI. Pink dots are the genes with significant biological
variability after multiple-testing correction.</p>
-<div class="sourceCode" id="cb589"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb589-1" data-line-number="1">Brennecke_HVG <-<span class="st"> </span><span class="kw">BrenneckeGetVariableGenes</span>(</a>
-<a class="sourceLine" id="cb589-2" data-line-number="2"> expr_matrix,</a>
-<a class="sourceLine" id="cb589-3" data-line-number="3"> <span class="dt">fdr =</span> <span class="fl">0.01</span>,</a>
-<a class="sourceLine" id="cb589-4" data-line-number="4"> <span class="dt">minBiolDisp =</span> <span class="fl">0.5</span></a>
-<a class="sourceLine" id="cb589-5" data-line-number="5">)</a></code></pre></div>
+<div class="sourceCode" id="cb392"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb392-1" data-line-number="1">Brennecke_HVG <-<span class="st"> </span><span class="kw">BrenneckeGetVariableGenes</span>(</a>
+<a class="sourceLine" id="cb392-2" data-line-number="2"> expr_matrix,</a>
+<a class="sourceLine" id="cb392-3" data-line-number="3"> <span class="dt">fdr =</span> <span class="fl">0.01</span>,</a>
+<a class="sourceLine" id="cb392-4" data-line-number="4"> <span class="dt">minBiolDisp =</span> <span class="fl">0.5</span></a>
+<a class="sourceLine" id="cb392-5" data-line-number="5">)</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/unnamed-chunk-7-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>This function returns a matrix of significant genes as well as their estimated
effect size (difference between observed and expected coefficient of variation),
and their significance as raw p.values and FDR corrected q.values. For now we
will just keep the names of the significant HVG genes.</p>
-<div class="sourceCode" id="cb590"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb590-1" data-line-number="1">HVG_genes <-<span class="st"> </span>Brennecke_HVG<span class="op">$</span>Gene</a></code></pre></div>
+<div class="sourceCode" id="cb393"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb393-1" data-line-number="1">HVG_genes <-<span class="st"> </span>Brennecke_HVG<span class="op">$</span>Gene</a></code></pre></div>
<p><strong>Exercise 3</strong>
How many genes were signifcant using BrenneckeGetVariableGenes?</p>
<pre><code>## [1] 1303</code></pre>
@@ -7020,21 +2611,21 @@ biological component of the variance from the technical component and thus can
rank genes based on their “biological†variance. This model also provides
p-values (with FDR adjustment) that can be used to identify the set of
“significant†highly variable genes at a given significance level.</p>
-<div class="sourceCode" id="cb592"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb592-1" data-line-number="1"><span class="co">### mamke a technical trend of variance based on Poisson</span></a>
-<a class="sourceLine" id="cb592-2" data-line-number="2">var.fit <-<span class="st"> </span><span class="kw">trendVar</span>(deng, <span class="dt">parametric=</span><span class="ot">TRUE</span>, <span class="dt">loess.args=</span><span class="kw">list</span>(<span class="dt">span=</span><span class="fl">0.4</span>), <span class="dt">use.spikes =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb592-3" data-line-number="3">var.out <-<span class="st"> </span><span class="kw">decomposeVar</span>(deng, var.fit)</a>
-<a class="sourceLine" id="cb592-4" data-line-number="4"><span class="kw">plot</span>(var.out<span class="op">$</span>mean, var.out<span class="op">$</span>total, <span class="dt">pch=</span><span class="dv">16</span>, <span class="dt">cex=</span><span class="fl">0.6</span>, <span class="dt">xlab=</span><span class="st">"Mean log-expression"</span>, </a>
-<a class="sourceLine" id="cb592-5" data-line-number="5"> <span class="dt">ylab=</span><span class="st">"Variance of log-expression"</span>)</a>
-<a class="sourceLine" id="cb592-6" data-line-number="6"><span class="kw">points</span>(var.out<span class="op">$</span>mean[<span class="kw">isSpike</span>(deng)], var.out<span class="op">$</span>total[<span class="kw">isSpike</span>(deng)], <span class="dt">col=</span><span class="st">"red"</span>, <span class="dt">pch=</span><span class="dv">16</span>)</a>
-<a class="sourceLine" id="cb592-7" data-line-number="7"><span class="kw">curve</span>(var.fit<span class="op">$</span><span class="kw">trend</span>(x), <span class="dt">col=</span><span class="st">"dodgerblue"</span>, <span class="dt">add=</span><span class="ot">TRUE</span>, <span class="dt">lwd=</span><span class="dv">2</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb395"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb395-1" data-line-number="1"><span class="co">### mamke a technical trend of variance based on Poisson</span></a>
+<a class="sourceLine" id="cb395-2" data-line-number="2">var.fit <-<span class="st"> </span><span class="kw">trendVar</span>(deng, <span class="dt">parametric=</span><span class="ot">TRUE</span>, <span class="dt">loess.args=</span><span class="kw">list</span>(<span class="dt">span=</span><span class="fl">0.4</span>), <span class="dt">use.spikes =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb395-3" data-line-number="3">var.out <-<span class="st"> </span><span class="kw">decomposeVar</span>(deng, var.fit)</a>
+<a class="sourceLine" id="cb395-4" data-line-number="4"><span class="kw">plot</span>(var.out<span class="op">$</span>mean, var.out<span class="op">$</span>total, <span class="dt">pch=</span><span class="dv">16</span>, <span class="dt">cex=</span><span class="fl">0.6</span>, <span class="dt">xlab=</span><span class="st">"Mean log-expression"</span>, </a>
+<a class="sourceLine" id="cb395-5" data-line-number="5"> <span class="dt">ylab=</span><span class="st">"Variance of log-expression"</span>)</a>
+<a class="sourceLine" id="cb395-6" data-line-number="6"><span class="kw">points</span>(var.out<span class="op">$</span>mean[<span class="kw">isSpike</span>(deng)], var.out<span class="op">$</span>total[<span class="kw">isSpike</span>(deng)], <span class="dt">col=</span><span class="st">"red"</span>, <span class="dt">pch=</span><span class="dv">16</span>)</a>
+<a class="sourceLine" id="cb395-7" data-line-number="7"><span class="kw">curve</span>(var.fit<span class="op">$</span><span class="kw">trend</span>(x), <span class="dt">col=</span><span class="st">"dodgerblue"</span>, <span class="dt">add=</span><span class="ot">TRUE</span>, <span class="dt">lwd=</span><span class="dv">2</span>)</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/hvg-simpleSingleCell-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb593"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb593-1" data-line-number="1">chosen.genes <-<span class="st"> </span><span class="kw">order</span>(var.out<span class="op">$</span>bio, <span class="dt">decreasing=</span><span class="ot">TRUE</span>)[<span class="dv">1</span><span class="op">:</span><span class="dv">10</span>]</a>
-<a class="sourceLine" id="cb593-2" data-line-number="2"><span class="kw">plotExpression</span>(deng, <span class="kw">rownames</span>(var.out)[chosen.genes], </a>
-<a class="sourceLine" id="cb593-3" data-line-number="3"> <span class="dt">point_alpha=</span><span class="fl">0.5</span>, <span class="dt">jitter_type=</span><span class="st">"jitter"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb396"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb396-1" data-line-number="1">chosen.genes <-<span class="st"> </span><span class="kw">order</span>(var.out<span class="op">$</span>bio, <span class="dt">decreasing=</span><span class="ot">TRUE</span>)[<span class="dv">1</span><span class="op">:</span><span class="dv">10</span>]</a>
+<a class="sourceLine" id="cb396-2" data-line-number="2"><span class="kw">plotExpression</span>(deng, <span class="kw">rownames</span>(var.out)[chosen.genes], </a>
+<a class="sourceLine" id="cb396-3" data-line-number="3"> <span class="dt">point_alpha=</span><span class="fl">0.5</span>, <span class="dt">jitter_type=</span><span class="st">"jitter"</span>)</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/hvg-simpleSingleCell-2.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb594"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb594-1" data-line-number="1">top.dec <-<span class="st"> </span>var.out[<span class="kw">order</span>(var.out<span class="op">$</span>bio, <span class="dt">decreasing=</span><span class="ot">TRUE</span>),]</a>
-<a class="sourceLine" id="cb594-2" data-line-number="2"> <span class="co"># the highly variable genes with largest biological components</span></a>
-<a class="sourceLine" id="cb594-3" data-line-number="3"><span class="kw">head</span>(top.dec)</a></code></pre></div>
+<div class="sourceCode" id="cb397"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb397-1" data-line-number="1">top.dec <-<span class="st"> </span>var.out[<span class="kw">order</span>(var.out<span class="op">$</span>bio, <span class="dt">decreasing=</span><span class="ot">TRUE</span>),]</a>
+<a class="sourceLine" id="cb397-2" data-line-number="2"> <span class="co"># the highly variable genes with largest biological components</span></a>
+<a class="sourceLine" id="cb397-3" data-line-number="3"><span class="kw">head</span>(top.dec)</a></code></pre></div>
<pre><code>## DataFrame with 6 rows and 6 columns
## mean total bio
## <numeric> <numeric> <numeric>
@@ -7052,8 +2643,8 @@ p-values (with FDR adjustment) that can be used to identify the set of
## Upp1 12.9658789141915 1.39045180596497e-37 3.89865305745004e-35
## Akr1b8 6.37211201769662 2.70679041028919e-99 5.51963779029062e-96
## Spp1 15.2648144900397 9.4641203490752e-29 1.76908069625088e-26</code></pre>
-<div class="sourceCode" id="cb596"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb596-1" data-line-number="1">simplesinglecell_genes <-<span class="st"> </span><span class="kw">rownames</span>(top.dec)[top.dec<span class="op">$</span>FDR <span class="op"><</span><span class="st"> </span><span class="fl">0.001</span>]</a>
-<a class="sourceLine" id="cb596-2" data-line-number="2"><span class="kw">table</span>(top.dec<span class="op">$</span>FDR <span class="op"><</span><span class="st"> </span><span class="fl">0.001</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb399"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb399-1" data-line-number="1">simplesinglecell_genes <-<span class="st"> </span><span class="kw">rownames</span>(top.dec)[top.dec<span class="op">$</span>FDR <span class="op"><</span><span class="st"> </span><span class="fl">0.001</span>]</a>
+<a class="sourceLine" id="cb399-2" data-line-number="2"><span class="kw">table</span>(top.dec<span class="op">$</span>FDR <span class="op"><</span><span class="st"> </span><span class="fl">0.001</span>)</a></code></pre></div>
<pre><code>##
## FALSE TRUE
## 21124 1307</code></pre>
@@ -7082,37 +2673,37 @@ average expression) and <span class="math inline">\(K\)</span> is the Michaelis-
which are differentially expression across two or more populations of cells in
our dataset will be shifted up/right of the Michaelis-Menten model (see Figure
below).</p>
-<div class="sourceCode" id="cb598"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb598-1" data-line-number="1">K <-<span class="st"> </span><span class="dv">49</span></a>
-<a class="sourceLine" id="cb598-2" data-line-number="2">S_sim <-<span class="st"> </span><span class="dv">10</span><span class="op">^</span><span class="kw">seq</span>(<span class="dt">from =</span> <span class="dv">-3</span>, <span class="dt">to =</span> <span class="dv">4</span>, <span class="dt">by =</span> <span class="fl">0.05</span>) <span class="co"># range of expression values</span></a>
-<a class="sourceLine" id="cb598-3" data-line-number="3">MM <-<span class="st"> </span><span class="dv">1</span> <span class="op">-</span><span class="st"> </span>S_sim <span class="op">/</span><span class="st"> </span>(K <span class="op">+</span><span class="st"> </span>S_sim)</a>
-<a class="sourceLine" id="cb598-4" data-line-number="4"><span class="kw">plot</span>(</a>
-<a class="sourceLine" id="cb598-5" data-line-number="5"> S_sim, </a>
-<a class="sourceLine" id="cb598-6" data-line-number="6"> MM, </a>
-<a class="sourceLine" id="cb598-7" data-line-number="7"> <span class="dt">type =</span> <span class="st">"l"</span>, </a>
-<a class="sourceLine" id="cb598-8" data-line-number="8"> <span class="dt">lwd =</span> <span class="dv">3</span>, </a>
-<a class="sourceLine" id="cb598-9" data-line-number="9"> <span class="dt">xlab =</span> <span class="st">"Expression"</span>, </a>
-<a class="sourceLine" id="cb598-10" data-line-number="10"> <span class="dt">ylab =</span> <span class="st">"Dropout Rate"</span>, </a>
-<a class="sourceLine" id="cb598-11" data-line-number="11"> <span class="dt">xlim =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">1000</span>)</a>
-<a class="sourceLine" id="cb598-12" data-line-number="12">)</a>
-<a class="sourceLine" id="cb598-13" data-line-number="13">S1 <-<span class="st"> </span><span class="dv">10</span> <span class="co"># Mean expression in population 1</span></a>
-<a class="sourceLine" id="cb598-14" data-line-number="14">P1 <-<span class="st"> </span><span class="dv">1</span> <span class="op">-</span><span class="st"> </span>S1 <span class="op">/</span><span class="st"> </span>(K <span class="op">+</span><span class="st"> </span>S1) <span class="co"># Dropouts for cells in condition 1</span></a>
-<a class="sourceLine" id="cb598-15" data-line-number="15">S2 <-<span class="st"> </span><span class="dv">750</span> <span class="co"># Mean expression in population 2</span></a>
-<a class="sourceLine" id="cb598-16" data-line-number="16">P2 <-<span class="st"> </span><span class="dv">1</span> <span class="op">-</span><span class="st"> </span>S2 <span class="op">/</span><span class="st"> </span>(K <span class="op">+</span><span class="st"> </span>S2) <span class="co"># Dropouts for cells in condition 2</span></a>
-<a class="sourceLine" id="cb598-17" data-line-number="17"><span class="kw">points</span>(</a>
-<a class="sourceLine" id="cb598-18" data-line-number="18"> <span class="kw">c</span>(S1, S2),</a>
-<a class="sourceLine" id="cb598-19" data-line-number="19"> <span class="kw">c</span>(P1, P2), </a>
-<a class="sourceLine" id="cb598-20" data-line-number="20"> <span class="dt">pch =</span> <span class="dv">16</span>, </a>
-<a class="sourceLine" id="cb598-21" data-line-number="21"> <span class="dt">col =</span> <span class="st">"grey85"</span>, </a>
-<a class="sourceLine" id="cb598-22" data-line-number="22"> <span class="dt">cex =</span> <span class="dv">3</span></a>
-<a class="sourceLine" id="cb598-23" data-line-number="23">)</a>
-<a class="sourceLine" id="cb598-24" data-line-number="24">mix <-<span class="st"> </span><span class="fl">0.5</span> <span class="co"># proportion of cells in condition 1</span></a>
-<a class="sourceLine" id="cb598-25" data-line-number="25"><span class="kw">points</span>(</a>
-<a class="sourceLine" id="cb598-26" data-line-number="26"> S1 <span class="op">*</span><span class="st"> </span>mix <span class="op">+</span><span class="st"> </span>S2 <span class="op">*</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">-</span><span class="st"> </span>mix), </a>
-<a class="sourceLine" id="cb598-27" data-line-number="27"> P1 <span class="op">*</span><span class="st"> </span>mix <span class="op">+</span><span class="st"> </span>P2 <span class="op">*</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">-</span><span class="st"> </span>mix), </a>
-<a class="sourceLine" id="cb598-28" data-line-number="28"> <span class="dt">pch =</span> <span class="dv">16</span>, </a>
-<a class="sourceLine" id="cb598-29" data-line-number="29"> <span class="dt">col =</span> <span class="st">"grey35"</span>, </a>
-<a class="sourceLine" id="cb598-30" data-line-number="30"> <span class="dt">cex =</span> <span class="dv">3</span></a>
-<a class="sourceLine" id="cb598-31" data-line-number="31">)</a></code></pre></div>
+<div class="sourceCode" id="cb401"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb401-1" data-line-number="1">K <-<span class="st"> </span><span class="dv">49</span></a>
+<a class="sourceLine" id="cb401-2" data-line-number="2">S_sim <-<span class="st"> </span><span class="dv">10</span><span class="op">^</span><span class="kw">seq</span>(<span class="dt">from =</span> <span class="dv">-3</span>, <span class="dt">to =</span> <span class="dv">4</span>, <span class="dt">by =</span> <span class="fl">0.05</span>) <span class="co"># range of expression values</span></a>
+<a class="sourceLine" id="cb401-3" data-line-number="3">MM <-<span class="st"> </span><span class="dv">1</span> <span class="op">-</span><span class="st"> </span>S_sim <span class="op">/</span><span class="st"> </span>(K <span class="op">+</span><span class="st"> </span>S_sim)</a>
+<a class="sourceLine" id="cb401-4" data-line-number="4"><span class="kw">plot</span>(</a>
+<a class="sourceLine" id="cb401-5" data-line-number="5"> S_sim, </a>
+<a class="sourceLine" id="cb401-6" data-line-number="6"> MM, </a>
+<a class="sourceLine" id="cb401-7" data-line-number="7"> <span class="dt">type =</span> <span class="st">"l"</span>, </a>
+<a class="sourceLine" id="cb401-8" data-line-number="8"> <span class="dt">lwd =</span> <span class="dv">3</span>, </a>
+<a class="sourceLine" id="cb401-9" data-line-number="9"> <span class="dt">xlab =</span> <span class="st">"Expression"</span>, </a>
+<a class="sourceLine" id="cb401-10" data-line-number="10"> <span class="dt">ylab =</span> <span class="st">"Dropout Rate"</span>, </a>
+<a class="sourceLine" id="cb401-11" data-line-number="11"> <span class="dt">xlim =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">1000</span>)</a>
+<a class="sourceLine" id="cb401-12" data-line-number="12">)</a>
+<a class="sourceLine" id="cb401-13" data-line-number="13">S1 <-<span class="st"> </span><span class="dv">10</span> <span class="co"># Mean expression in population 1</span></a>
+<a class="sourceLine" id="cb401-14" data-line-number="14">P1 <-<span class="st"> </span><span class="dv">1</span> <span class="op">-</span><span class="st"> </span>S1 <span class="op">/</span><span class="st"> </span>(K <span class="op">+</span><span class="st"> </span>S1) <span class="co"># Dropouts for cells in condition 1</span></a>
+<a class="sourceLine" id="cb401-15" data-line-number="15">S2 <-<span class="st"> </span><span class="dv">750</span> <span class="co"># Mean expression in population 2</span></a>
+<a class="sourceLine" id="cb401-16" data-line-number="16">P2 <-<span class="st"> </span><span class="dv">1</span> <span class="op">-</span><span class="st"> </span>S2 <span class="op">/</span><span class="st"> </span>(K <span class="op">+</span><span class="st"> </span>S2) <span class="co"># Dropouts for cells in condition 2</span></a>
+<a class="sourceLine" id="cb401-17" data-line-number="17"><span class="kw">points</span>(</a>
+<a class="sourceLine" id="cb401-18" data-line-number="18"> <span class="kw">c</span>(S1, S2),</a>
+<a class="sourceLine" id="cb401-19" data-line-number="19"> <span class="kw">c</span>(P1, P2), </a>
+<a class="sourceLine" id="cb401-20" data-line-number="20"> <span class="dt">pch =</span> <span class="dv">16</span>, </a>
+<a class="sourceLine" id="cb401-21" data-line-number="21"> <span class="dt">col =</span> <span class="st">"grey85"</span>, </a>
+<a class="sourceLine" id="cb401-22" data-line-number="22"> <span class="dt">cex =</span> <span class="dv">3</span></a>
+<a class="sourceLine" id="cb401-23" data-line-number="23">)</a>
+<a class="sourceLine" id="cb401-24" data-line-number="24">mix <-<span class="st"> </span><span class="fl">0.5</span> <span class="co"># proportion of cells in condition 1</span></a>
+<a class="sourceLine" id="cb401-25" data-line-number="25"><span class="kw">points</span>(</a>
+<a class="sourceLine" id="cb401-26" data-line-number="26"> S1 <span class="op">*</span><span class="st"> </span>mix <span class="op">+</span><span class="st"> </span>S2 <span class="op">*</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">-</span><span class="st"> </span>mix), </a>
+<a class="sourceLine" id="cb401-27" data-line-number="27"> P1 <span class="op">*</span><span class="st"> </span>mix <span class="op">+</span><span class="st"> </span>P2 <span class="op">*</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">-</span><span class="st"> </span>mix), </a>
+<a class="sourceLine" id="cb401-28" data-line-number="28"> <span class="dt">pch =</span> <span class="dv">16</span>, </a>
+<a class="sourceLine" id="cb401-29" data-line-number="29"> <span class="dt">col =</span> <span class="st">"grey35"</span>, </a>
+<a class="sourceLine" id="cb401-30" data-line-number="30"> <span class="dt">cex =</span> <span class="dv">3</span></a>
+<a class="sourceLine" id="cb401-31" data-line-number="31">)</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/unnamed-chunk-10-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>Note</strong>: add <code>log="x"</code> to the <code>plot</code> call above to see how this looks on the
log scale, which is used in M3Drop figures.</p>
@@ -7120,13 +2711,13 @@ log scale, which is used in M3Drop figures.</p>
(S1 & S2) and/or mixtures (mix).</p>
<p>We use M3Drop to identify significant outliers to the right of the MM
curve. We also apply 1% FDR multiple testing correction:</p>
-<div class="sourceCode" id="cb599"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb599-1" data-line-number="1">M3Drop_genes <-<span class="st"> </span><span class="kw">M3DropFeatureSelection</span>(</a>
-<a class="sourceLine" id="cb599-2" data-line-number="2"> expr_matrix,</a>
-<a class="sourceLine" id="cb599-3" data-line-number="3"> <span class="dt">mt_method =</span> <span class="st">"fdr"</span>,</a>
-<a class="sourceLine" id="cb599-4" data-line-number="4"> <span class="dt">mt_threshold =</span> <span class="fl">0.01</span></a>
-<a class="sourceLine" id="cb599-5" data-line-number="5">)</a></code></pre></div>
+<div class="sourceCode" id="cb402"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb402-1" data-line-number="1">M3Drop_genes <-<span class="st"> </span><span class="kw">M3DropFeatureSelection</span>(</a>
+<a class="sourceLine" id="cb402-2" data-line-number="2"> expr_matrix,</a>
+<a class="sourceLine" id="cb402-3" data-line-number="3"> <span class="dt">mt_method =</span> <span class="st">"fdr"</span>,</a>
+<a class="sourceLine" id="cb402-4" data-line-number="4"> <span class="dt">mt_threshold =</span> <span class="fl">0.01</span></a>
+<a class="sourceLine" id="cb402-5" data-line-number="5">)</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/unnamed-chunk-12-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb600"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb600-1" data-line-number="1">M3Drop_genes <-<span class="st"> </span>M3Drop_genes<span class="op">$</span>Gene</a></code></pre></div>
+<div class="sourceCode" id="cb403"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb403-1" data-line-number="1">M3Drop_genes <-<span class="st"> </span>M3Drop_genes<span class="op">$</span>Gene</a></code></pre></div>
<p>An alternative method is contained in the M3Drop package that is tailored specifically for
UMI-tagged data which generally contains many zeros resulting from low sequencing coverage
in addition to those resulting from insufficient reverse-transcription. This model is the
@@ -7144,13 +2735,13 @@ detection).</p>
the Deng data is not UMI counts the model does not fit the noise sufficiently and
far too many genes will be called as significant. Thus we will take the top 1500
by effect size.</p>
-<div class="sourceCode" id="cb601"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb601-1" data-line-number="1">deng_int <-<span class="st"> </span><span class="kw">NBumiConvertData</span>(deng)</a></code></pre></div>
+<div class="sourceCode" id="cb404"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb404-1" data-line-number="1">deng_int <-<span class="st"> </span><span class="kw">NBumiConvertData</span>(deng)</a></code></pre></div>
<pre><code>## [1] "Removing 1134 undetected genes."</code></pre>
-<div class="sourceCode" id="cb603"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb603-1" data-line-number="1">DANB_fit <-<span class="st"> </span><span class="kw">NBumiFitModel</span>(deng_int) <span class="co"># DANB is fit to the raw count matrix</span></a>
-<a class="sourceLine" id="cb603-2" data-line-number="2"><span class="co"># Perform DANB feature selection</span></a>
-<a class="sourceLine" id="cb603-3" data-line-number="3">DropFS <-<span class="st"> </span><span class="kw">NBumiFeatureSelectionCombinedDrop</span>(DANB_fit, <span class="dt">method=</span><span class="st">"fdr"</span>, <span class="dt">qval.thresh=</span><span class="fl">0.01</span>, <span class="dt">suppress.plot=</span><span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb406"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb406-1" data-line-number="1">DANB_fit <-<span class="st"> </span><span class="kw">NBumiFitModel</span>(deng_int) <span class="co"># DANB is fit to the raw count matrix</span></a>
+<a class="sourceLine" id="cb406-2" data-line-number="2"><span class="co"># Perform DANB feature selection</span></a>
+<a class="sourceLine" id="cb406-3" data-line-number="3">DropFS <-<span class="st"> </span><span class="kw">NBumiFeatureSelectionCombinedDrop</span>(DANB_fit, <span class="dt">method=</span><span class="st">"fdr"</span>, <span class="dt">qval.thresh=</span><span class="fl">0.01</span>, <span class="dt">suppress.plot=</span><span class="ot">FALSE</span>)</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/unnamed-chunk-13-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb604"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb604-1" data-line-number="1">DANB_genes <-<span class="st"> </span>DropFS[<span class="dv">1</span><span class="op">:</span><span class="dv">1500</span>,]<span class="op">$</span>Gene</a></code></pre></div>
+<div class="sourceCode" id="cb407"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb407-1" data-line-number="1">DANB_genes <-<span class="st"> </span>DropFS[<span class="dv">1</span><span class="op">:</span><span class="dv">1500</span>,]<span class="op">$</span>Gene</a></code></pre></div>
<p><strong>Exercise 5</strong>
How many genes were signifcant using NBumiFeatureSelectionCombinedDrop?</p>
<pre><code>## [1] 10694</code></pre>
@@ -7166,221 +2757,32 @@ decoupled from the average level of expression of the gene.</p>
<p>The residual variance is easily accessible from the <code>sctransform</code> output as we
show below.</p>
<p>First, we run <code>sctransform</code> as we did previously.</p>
-<div class="sourceCode" id="cb606"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb606-1" data-line-number="1">deng_sparse <-<span class="st"> </span><span class="kw">as</span>(<span class="kw">counts</span>(deng), <span class="st">"dgCMatrix"</span>)</a>
-<a class="sourceLine" id="cb606-2" data-line-number="2"><span class="co">### Genes expressed in at least 5 cells will be kept</span></a>
-<a class="sourceLine" id="cb606-3" data-line-number="3">sctnorm_data <-<span class="st"> </span>sctransform<span class="op">::</span><span class="kw">vst</span>(<span class="dt">umi =</span> deng_sparse, <span class="dt">min_cells =</span> <span class="dv">1</span>,</a>
-<a class="sourceLine" id="cb606-4" data-line-number="4"> <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng)),</a>
-<a class="sourceLine" id="cb606-5" data-line-number="5"> <span class="dt">latent_var =</span> <span class="st">"log10_total_counts_endogenous"</span>)</a></code></pre></div>
-<pre><code>##
- |
- | | 0%
- |
- |======== | 12%
- |
- |================ | 25%
- |
- |======================== | 38%
- |
- |================================ | 50%
- |
- |========================================= | 62%
- |
- |================================================= | 75%
- |
- |========================================================= | 88%
- |
- |=================================================================| 100%
-##
- |
- | | 0%
- |
- |= | 1%
- |
- |== | 2%
- |
- |== | 4%
- |
- |=== | 5%
- |
- |==== | 6%
- |
- |===== | 7%
- |
- |===== | 8%
- |
- |====== | 10%
- |
- |======= | 11%
- |
- |======== | 12%
- |
- |========= | 13%
- |
- |========= | 14%
- |
- |========== | 15%
- |
- |=========== | 17%
- |
- |============ | 18%
- |
- |============ | 19%
- |
- |============= | 20%
- |
- |============== | 21%
- |
- |=============== | 23%
- |
- |=============== | 24%
- |
- |================ | 25%
- |
- |================= | 26%
- |
- |================== | 27%
- |
- |=================== | 29%
- |
- |=================== | 30%
- |
- |==================== | 31%
- |
- |===================== | 32%
- |
- |====================== | 33%
- |
- |====================== | 35%
- |
- |======================= | 36%
- |
- |======================== | 37%
- |
- |========================= | 38%
- |
- |========================== | 39%
- |
- |========================== | 40%
- |
- |=========================== | 42%
- |
- |============================ | 43%
- |
- |============================= | 44%
- |
- |============================= | 45%
- |
- |============================== | 46%
- |
- |=============================== | 48%
- |
- |================================ | 49%
- |
- |================================ | 50%
- |
- |================================= | 51%
- |
- |================================== | 52%
- |
- |=================================== | 54%
- |
- |==================================== | 55%
- |
- |==================================== | 56%
- |
- |===================================== | 57%
- |
- |====================================== | 58%
- |
- |======================================= | 60%
- |
- |======================================= | 61%
- |
- |======================================== | 62%
- |
- |========================================= | 63%
- |
- |========================================== | 64%
- |
- |=========================================== | 65%
- |
- |=========================================== | 67%
- |
- |============================================ | 68%
- |
- |============================================= | 69%
- |
- |============================================== | 70%
- |
- |============================================== | 71%
- |
- |=============================================== | 73%
- |
- |================================================ | 74%
- |
- |================================================= | 75%
- |
- |================================================== | 76%
- |
- |================================================== | 77%
- |
- |=================================================== | 79%
- |
- |==================================================== | 80%
- |
- |===================================================== | 81%
- |
- |===================================================== | 82%
- |
- |====================================================== | 83%
- |
- |======================================================= | 85%
- |
- |======================================================== | 86%
- |
- |======================================================== | 87%
- |
- |========================================================= | 88%
- |
- |========================================================== | 89%
- |
- |=========================================================== | 90%
- |
- |============================================================ | 92%
- |
- |============================================================ | 93%
- |
- |============================================================= | 94%
- |
- |============================================================== | 95%
- |
- |=============================================================== | 96%
- |
- |=============================================================== | 98%
- |
- |================================================================ | 99%
- |
- |=================================================================| 100%</code></pre>
-<div class="sourceCode" id="cb608"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb608-1" data-line-number="1">sctnorm_data<span class="op">$</span>model_str</a></code></pre></div>
+<div class="sourceCode" id="cb409"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb409-1" data-line-number="1">deng_sparse <-<span class="st"> </span><span class="kw">as</span>(<span class="kw">counts</span>(deng), <span class="st">"dgCMatrix"</span>)</a>
+<a class="sourceLine" id="cb409-2" data-line-number="2"><span class="co">### Genes expressed in at least 5 cells will be kept</span></a>
+<a class="sourceLine" id="cb409-3" data-line-number="3">sctnorm_data <-<span class="st"> </span>sctransform<span class="op">::</span><span class="kw">vst</span>(<span class="dt">umi =</span> deng_sparse, <span class="dt">min_cells =</span> <span class="dv">1</span>,</a>
+<a class="sourceLine" id="cb409-4" data-line-number="4"> <span class="dt">cell_attr =</span> <span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng)),</a>
+<a class="sourceLine" id="cb409-5" data-line-number="5"> <span class="dt">latent_var =</span> <span class="st">"log10_total_counts_endogenous"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb410"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb410-1" data-line-number="1">sctnorm_data<span class="op">$</span>model_str</a></code></pre></div>
<pre><code>## [1] "y ~ log10_total_counts_endogenous"</code></pre>
-<div class="sourceCode" id="cb610"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb610-1" data-line-number="1"><span class="kw">library</span>(ggplot2)</a>
-<a class="sourceLine" id="cb610-2" data-line-number="2"><span class="kw">ggplot</span>(sctnorm_data<span class="op">$</span>gene_attr, <span class="kw">aes</span>(residual_variance)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb610-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_histogram</span>(<span class="dt">binwidth=</span><span class="fl">0.1</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb610-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_vline</span>(<span class="dt">xintercept=</span><span class="dv">1</span>, <span class="dt">color=</span><span class="st">'red'</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlim</span>(<span class="dv">0</span>, <span class="dv">10</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb412"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb412-1" data-line-number="1"><span class="kw">library</span>(ggplot2)</a>
+<a class="sourceLine" id="cb412-2" data-line-number="2"><span class="kw">ggplot</span>(sctnorm_data<span class="op">$</span>gene_attr, <span class="kw">aes</span>(residual_variance)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb412-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_histogram</span>(<span class="dt">binwidth=</span><span class="fl">0.1</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb412-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_vline</span>(<span class="dt">xintercept=</span><span class="dv">1</span>, <span class="dt">color=</span><span class="st">'red'</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlim</span>(<span class="dv">0</span>, <span class="dv">10</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb412-5" data-line-number="5"><span class="st"> </span><span class="kw">theme_bw</span>()</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/sctransform-feature-select-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb611"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb611-1" data-line-number="1">sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>label <-<span class="st"> </span><span class="kw">rownames</span>(sctnorm_data<span class="op">$</span>gene_attr)</a>
-<a class="sourceLine" id="cb611-2" data-line-number="2"><span class="kw">ggplot</span>(sctnorm_data<span class="op">$</span>gene_attr, <span class="kw">aes</span>(<span class="dt">x =</span> gmean, <span class="dt">y=</span>residual_variance)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb611-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">alpha =</span> <span class="fl">0.6</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb611-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">colour =</span> <span class="st">"firebrick2"</span>,</a>
-<a class="sourceLine" id="cb611-5" data-line-number="5"> <span class="dt">data =</span> sctnorm_data<span class="op">$</span>gene_attr[sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">3</span>,]) <span class="op">+</span></a>
-<a class="sourceLine" id="cb611-6" data-line-number="6"><span class="st"> </span><span class="kw">scale_x_log10</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb611-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_hline</span>(<span class="dt">yintercept =</span> <span class="dv">1</span>, <span class="dt">size =</span> <span class="dv">3</span>, <span class="dt">color =</span> <span class="st">"dodgerblue"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb611-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_label</span>(<span class="kw">aes</span>(<span class="dt">label =</span> label),</a>
-<a class="sourceLine" id="cb611-9" data-line-number="9"> <span class="dt">data =</span> sctnorm_data<span class="op">$</span>gene_attr[sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">30</span>,]) <span class="op">+</span></a>
-<a class="sourceLine" id="cb611-10" data-line-number="10"><span class="st"> </span><span class="kw">theme_bw</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb413"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb413-1" data-line-number="1">sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>label <-<span class="st"> </span><span class="kw">rownames</span>(sctnorm_data<span class="op">$</span>gene_attr)</a>
+<a class="sourceLine" id="cb413-2" data-line-number="2"><span class="kw">ggplot</span>(sctnorm_data<span class="op">$</span>gene_attr, <span class="kw">aes</span>(<span class="dt">x =</span> gmean, <span class="dt">y=</span>residual_variance)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb413-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">alpha =</span> <span class="fl">0.6</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb413-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_point</span>(<span class="dt">colour =</span> <span class="st">"firebrick2"</span>,</a>
+<a class="sourceLine" id="cb413-5" data-line-number="5"> <span class="dt">data =</span> sctnorm_data<span class="op">$</span>gene_attr[sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">3</span>,]) <span class="op">+</span></a>
+<a class="sourceLine" id="cb413-6" data-line-number="6"><span class="st"> </span><span class="kw">scale_x_log10</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb413-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_hline</span>(<span class="dt">yintercept =</span> <span class="dv">1</span>, <span class="dt">size =</span> <span class="dv">3</span>, <span class="dt">color =</span> <span class="st">"dodgerblue"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb413-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_label</span>(<span class="kw">aes</span>(<span class="dt">label =</span> label),</a>
+<a class="sourceLine" id="cb413-9" data-line-number="9"> <span class="dt">data =</span> sctnorm_data<span class="op">$</span>gene_attr[sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">30</span>,]) <span class="op">+</span></a>
+<a class="sourceLine" id="cb413-10" data-line-number="10"><span class="st"> </span><span class="kw">theme_bw</span>()</a></code></pre></div>
<p><img src="feature-selection_files/figure-html/sctransform-feature-select-2.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb612"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb612-1" data-line-number="1">sct_genes <-<span class="st"> </span><span class="kw">rownames</span>(sctnorm_data<span class="op">$</span>gene_attr)[sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">4</span>]</a>
-<a class="sourceLine" id="cb612-2" data-line-number="2"><span class="kw">table</span>(sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">4</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb414"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb414-1" data-line-number="1">sct_genes <-<span class="st"> </span><span class="kw">rownames</span>(sctnorm_data<span class="op">$</span>gene_attr)[sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">4</span>]</a>
+<a class="sourceLine" id="cb414-2" data-line-number="2"><span class="kw">table</span>(sctnorm_data<span class="op">$</span>gene_attr<span class="op">$</span>residual_variance <span class="op">></span><span class="st"> </span><span class="dv">4</span>)</a></code></pre></div>
<pre><code>##
## FALSE TRUE
## 20077 1220</code></pre>
@@ -7420,52 +2822,47 @@ this assumption is violated by batch effects which are generally systematic
between different experimental batches and will produce gene-gene correlations.
As a result it is more appropriate to take the top few thousand genes as ranked
by gene-gene correlation than consider the significance of the correlations.</p>
-<div class="sourceCode" id="cb614"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb614-1" data-line-number="1">cor_feat <-<span class="st"> </span>M3Drop<span class="op">::</span><span class="kw">corFS</span>(expr_matrix)</a>
-<a class="sourceLine" id="cb614-2" data-line-number="2">Cor_genes <-<span class="st"> </span><span class="kw">names</span>(cor_feat)[<span class="dv">1</span><span class="op">:</span><span class="dv">1500</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb416"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb416-1" data-line-number="1">cor_feat <-<span class="st"> </span>M3Drop<span class="op">::</span><span class="kw">corFS</span>(expr_matrix)</a>
+<a class="sourceLine" id="cb416-2" data-line-number="2">Cor_genes <-<span class="st"> </span><span class="kw">names</span>(cor_feat)[<span class="dv">1</span><span class="op">:</span><span class="dv">1500</span>]</a></code></pre></div>
</div>
<div id="comparing-methods" class="section level3">
<h3><span class="header-section-number">7.8.3</span> Comparing Methods</h3>
<p>We can check whether the identified features really do represent genes
differentially expressed between cell-types in this dataset.</p>
-<div class="sourceCode" id="cb615"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb615-1" data-line-number="1"><span class="kw">M3DropExpressionHeatmap</span>(</a>
-<a class="sourceLine" id="cb615-2" data-line-number="2"> M3Drop_genes,</a>
-<a class="sourceLine" id="cb615-3" data-line-number="3"> expr_matrix,</a>
-<a class="sourceLine" id="cb615-4" data-line-number="4"> <span class="dt">cell_labels =</span> celltype_labs</a>
-<a class="sourceLine" id="cb615-5" data-line-number="5">)</a></code></pre></div>
-<p><img src="feature-selection_files/figure-html/unnamed-chunk-16-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<p>We can also consider how consistent each feature selection method is with the others using the Jaccard Index:</p>
-<div class="sourceCode" id="cb616"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb616-1" data-line-number="1">J <-<span class="st"> </span><span class="kw">sum</span>(M3Drop_genes <span class="op">%in%</span><span class="st"> </span>HVG_genes)<span class="op">/</span><span class="kw">length</span>(<span class="kw">unique</span>(<span class="kw">c</span>(M3Drop_genes, HVG_genes)))</a></code></pre></div>
+<div class="sourceCode" id="cb417"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb417-1" data-line-number="1"><span class="kw">M3DropExpressionHeatmap</span>(</a>
+<a class="sourceLine" id="cb417-2" data-line-number="2"> M3Drop_genes,</a>
+<a class="sourceLine" id="cb417-3" data-line-number="3"> expr_matrix,</a>
+<a class="sourceLine" id="cb417-4" data-line-number="4"> <span class="dt">cell_labels =</span> celltype_labs</a>
+<a class="sourceLine" id="cb417-5" data-line-number="5">)</a></code></pre></div>
+<p><img src="feature-selection_files/figure-html/unnamed-chunk-17-1.png" width="90%" style="display: block; margin: auto;" /></p>
+<p>We can also consider how consistent each feature selection method is with the
+others using the Jaccard Index:</p>
+<div class="sourceCode" id="cb418"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb418-1" data-line-number="1">J <-<span class="st"> </span><span class="kw">sum</span>(M3Drop_genes <span class="op">%in%</span><span class="st"> </span>HVG_genes)<span class="op">/</span><span class="kw">length</span>(<span class="kw">unique</span>(<span class="kw">c</span>(M3Drop_genes, HVG_genes)))</a></code></pre></div>
<p><strong>Exercise 6</strong></p>
<p>Plot the expression of the features for each of the other methods. Which appear
to be differentially expressed? How consistent are the different methods for
this dataset?</p>
-<div class="sourceCode" id="cb617"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb617-1" data-line-number="1"><span class="kw">M3DropExpressionHeatmap</span>(</a>
-<a class="sourceLine" id="cb617-2" data-line-number="2"> DANB_genes,</a>
-<a class="sourceLine" id="cb617-3" data-line-number="3"> expr_matrix,</a>
-<a class="sourceLine" id="cb617-4" data-line-number="4"> <span class="dt">cell_labels =</span> celltype_labs</a>
-<a class="sourceLine" id="cb617-5" data-line-number="5">)</a></code></pre></div>
-<p><img src="feature-selection_files/figure-html/unnamed-chunk-18-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Jaccard index comparison of sets of informative features:</p>
-<div class="sourceCode" id="cb618"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb618-1" data-line-number="1">list_of_features <-<span class="st"> </span><span class="kw">list</span>(</a>
-<a class="sourceLine" id="cb618-2" data-line-number="2"> M3Drop_genes,</a>
-<a class="sourceLine" id="cb618-3" data-line-number="3"> DANB_genes,</a>
-<a class="sourceLine" id="cb618-4" data-line-number="4"> HVG_genes, </a>
-<a class="sourceLine" id="cb618-5" data-line-number="5"> simplesinglecell_genes, </a>
-<a class="sourceLine" id="cb618-6" data-line-number="6"> sct_genes</a>
-<a class="sourceLine" id="cb618-7" data-line-number="7">)</a>
-<a class="sourceLine" id="cb618-8" data-line-number="8">Out <-<span class="st"> </span><span class="kw">matrix</span>(</a>
-<a class="sourceLine" id="cb618-9" data-line-number="9"> <span class="dv">0</span>, </a>
-<a class="sourceLine" id="cb618-10" data-line-number="10"> <span class="dt">ncol =</span> <span class="kw">length</span>(list_of_features), </a>
-<a class="sourceLine" id="cb618-11" data-line-number="11"> <span class="dt">nrow =</span> <span class="kw">length</span>(list_of_features)</a>
-<a class="sourceLine" id="cb618-12" data-line-number="12">)</a>
-<a class="sourceLine" id="cb618-13" data-line-number="13"><span class="cf">for</span>(i <span class="cf">in</span> <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(list_of_features) ) {</a>
-<a class="sourceLine" id="cb618-14" data-line-number="14"> <span class="cf">for</span>(j <span class="cf">in</span> <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(list_of_features) ) {</a>
-<a class="sourceLine" id="cb618-15" data-line-number="15"> Out[i,j] <-<span class="st"> </span><span class="kw">sum</span>(list_of_features[[i]] <span class="op">%in%</span><span class="st"> </span>list_of_features[[j]])<span class="op">/</span></a>
-<a class="sourceLine" id="cb618-16" data-line-number="16"><span class="st"> </span><span class="kw">length</span>(<span class="kw">unique</span>(<span class="kw">c</span>(list_of_features[[i]], list_of_features[[j]])))</a>
-<a class="sourceLine" id="cb618-17" data-line-number="17"> }</a>
-<a class="sourceLine" id="cb618-18" data-line-number="18">}</a>
-<a class="sourceLine" id="cb618-19" data-line-number="19"><span class="kw">colnames</span>(Out) <-<span class="st"> </span><span class="kw">rownames</span>(Out) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"M3Drop"</span>, <span class="st">"DANB"</span>, <span class="st">"Brennecke"</span>, <span class="st">"simpleSingleCell"</span>, <span class="st">"sctransform"</span>)</a>
-<a class="sourceLine" id="cb618-20" data-line-number="20">Out</a></code></pre></div>
+<div class="sourceCode" id="cb419"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb419-1" data-line-number="1">list_of_features <-<span class="st"> </span><span class="kw">list</span>(</a>
+<a class="sourceLine" id="cb419-2" data-line-number="2"> M3Drop_genes,</a>
+<a class="sourceLine" id="cb419-3" data-line-number="3"> DANB_genes,</a>
+<a class="sourceLine" id="cb419-4" data-line-number="4"> HVG_genes, </a>
+<a class="sourceLine" id="cb419-5" data-line-number="5"> simplesinglecell_genes, </a>
+<a class="sourceLine" id="cb419-6" data-line-number="6"> sct_genes</a>
+<a class="sourceLine" id="cb419-7" data-line-number="7">)</a>
+<a class="sourceLine" id="cb419-8" data-line-number="8">Out <-<span class="st"> </span><span class="kw">matrix</span>(</a>
+<a class="sourceLine" id="cb419-9" data-line-number="9"> <span class="dv">0</span>, </a>
+<a class="sourceLine" id="cb419-10" data-line-number="10"> <span class="dt">ncol =</span> <span class="kw">length</span>(list_of_features), </a>
+<a class="sourceLine" id="cb419-11" data-line-number="11"> <span class="dt">nrow =</span> <span class="kw">length</span>(list_of_features)</a>
+<a class="sourceLine" id="cb419-12" data-line-number="12">)</a>
+<a class="sourceLine" id="cb419-13" data-line-number="13"><span class="cf">for</span>(i <span class="cf">in</span> <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(list_of_features) ) {</a>
+<a class="sourceLine" id="cb419-14" data-line-number="14"> <span class="cf">for</span>(j <span class="cf">in</span> <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(list_of_features) ) {</a>
+<a class="sourceLine" id="cb419-15" data-line-number="15"> Out[i,j] <-<span class="st"> </span><span class="kw">sum</span>(list_of_features[[i]] <span class="op">%in%</span><span class="st"> </span>list_of_features[[j]])<span class="op">/</span></a>
+<a class="sourceLine" id="cb419-16" data-line-number="16"><span class="st"> </span><span class="kw">length</span>(<span class="kw">unique</span>(<span class="kw">c</span>(list_of_features[[i]], list_of_features[[j]])))</a>
+<a class="sourceLine" id="cb419-17" data-line-number="17"> }</a>
+<a class="sourceLine" id="cb419-18" data-line-number="18">}</a>
+<a class="sourceLine" id="cb419-19" data-line-number="19"><span class="kw">colnames</span>(Out) <-<span class="st"> </span><span class="kw">rownames</span>(Out) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"M3Drop"</span>, <span class="st">"DANB"</span>, <span class="st">"Brennecke"</span>, <span class="st">"simpleSingleCell"</span>, <span class="st">"sctransform"</span>)</a>
+<a class="sourceLine" id="cb419-20" data-line-number="20">Out</a></code></pre></div>
<pre><code>## M3Drop DANB Brennecke simpleSingleCell
## M3Drop 1.0000000 0.38019061 0.4152905 0.14615908
## DANB 0.3801906 1.00000000 0.2283346 0.09868187
diff --git a/public/processing-raw-scrna-seq-data.html b/public/processing-raw-scrna-seq-data.html
index a58fa47..621da76 100644
--- a/public/processing-raw-scrna-seq-data.html
+++ b/public/processing-raw-scrna-seq-data.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
diff --git a/public/pseudotime.md b/public/pseudotime.md
index 331f88e..e1e663f 100644
--- a/public/pseudotime.md
+++ b/public/pseudotime.md
@@ -139,7 +139,7 @@ As the plot above shows, PC1 struggles to correctly order cells early and late i
Can bespoke pseudotime methods do better than naive application of PCA?
-### TSCAN
+## TSCAN
TSCAN [@tscam_rpkg] combines clustering with pseudotime analysis. First it clusters the cells using `mclust`, which is based on a mixture of normal distributions. Then it builds a minimum spanning tree to connect the clusters. The branch of this tree that connects the largest number of clusters is the main branch which is used to determine pseudotime.
@@ -200,7 +200,7 @@ TSCAN gets the development trajectory the "wrong way around", in the sense that
__Exercise 1__ Compare results for different numbers of clusters (`clusternum`).
-### Slingshot
+## Slingshot
`Slingshot` [@Street2018-ac] is a single-cell lineage inference tool, it can work with datasets with multiple branches. Slingshot has two stages: 1) the inference of the global lineage structure using MST on clustered data points and 2) the inference of pseudotime variables for cells along each lineage by fitting simultaneous 'principal curves' across multiple lineages.
@@ -363,7 +363,7 @@ heatmap(heatdata, Colv = NA,
We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression.
-### Monocle
+## Monocle
The original `Monocle` [@Trapnell2014-os] method skips the clustering stage of TSCAN and directly builds a
minimum spanning tree on a reduced dimension representation (using 'ICA') of the
@@ -616,9 +616,9 @@ __Exercise 2__ Do you get a better resolution between the later time points by c
__Exercise 3__ How does the ordering change if you only use the genes identified by M3Drop?
-### Other methods
+## Other methods
-#### SLICER
+### SLICER
The SLICER[@Welch2016-jr] method is an algorithm for constructing trajectories that
describe gene expression changes during a sequential biological
@@ -769,7 +769,7 @@ the call to `conn_knn_graph`?
__Exercise 5__ How does the ordering change if you use a different set
of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)?
-#### Ouija
+### Ouija
Ouija (http://kieranrcampbell.github.io/ouija/) takes a different approach from the pseudotime estimation methods we have looked at so far. Earlier methods have all been "unsupervised", which is to say that apart from perhaps selecting informative genes we do not supply the method with any prior information about how we expect certain genes or the trajectory as a whole to behave.
@@ -959,7 +959,7 @@ What conclusions can you draw from the gene regulation output from Ouija?
If you have time, you might try the HMC inference method and see if that changes the Ouija results in any way.
-### Comparison of the methods
+## Comparison of the methods
How do the trajectories inferred by TSCAN, Monocle, Diffusion Map, SLICER and Ouija compare?
@@ -987,7 +987,7 @@ corrplot.mixed(cor(df_pseudotime, use = "na.or.complete"),
We see here that Ouija, TSCAN and SLICER all give trajectories that are similar and strongly correlated with PC1. Diffusion Map is less strongly correlated with these methods, and Monocle gives very different results.
-### Expression of genes through time
+## Expression of genes through time
Each package also enables the visualization of expression through pseudotime. Following individual genes is very helpful for identifying genes that play an important role in the differentiation process. We illustrate the procedure using the `Nanog` gene.
@@ -1061,9 +1061,12 @@ plotExpression(deng_SCE, "Nanog", x = "pseudotime_ouija",
<img src="pseudotime_files/figure-html/Nanog-ouija-1.png" width="90%" style="display: block; margin: auto;" />
-How many of these methods outperform the naive approach of using the first principal component to represent pseudotime for these data?
+**Q:** How many of these methods outperform the naive approach of using the first
+principal component to represent pseudotime for these data?
-__Exercise 7__: Repeat the exercise using a subset of the genes, e.g. the set of highly variable genes that can be obtained using `Brennecke_getVariableGenes()`
+__Exercise 7__: Repeat the exercise using a subset of the genes, e.g. the set of
+highly variable genes that can be obtained using one of the methods discussed in
+the Feature Selection chapter.
### dynverse
diff --git a/public/quality-control-and-data-visualisation.html b/public/quality-control-and-data-visualisation.html
index 905d37d..2c07445 100644
--- a/public/quality-control-and-data-visualisation.html
+++ b/public/quality-control-and-data-visualisation.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -808,7 +814,7 @@ against the artificial doublet profiles.</p>
<p>We demonstrate the usage of two of these doublet detection tools.</p>
<div id="scds" class="section level3">
<h3><span class="header-section-number">6.3.1</span> scds</h3>
-<p><code>scds</code><span class="citation">(<span class="citeproc-not-found" data-reference-id="Bais2019-hf"><strong>???</strong></span>)</span> has two detection methods:</p>
+<p><code>scds</code><span class="citation">(Bais and Kostka <a href="#ref-Bais2019-wv">2019</a>)</span> has two detection methods:</p>
<ol style="list-style-type: decimal">
<li>co-expression based;</li>
<li>binary-classification based.</li>
@@ -826,62 +832,36 @@ doublet scores.</p>
<a class="sourceLine" id="cb218-4" data-line-number="4"></a>
<a class="sourceLine" id="cb218-5" data-line-number="5"><span class="co">#- Annotate doublet using binary classification based doublet scoring:</span></a>
<a class="sourceLine" id="cb218-6" data-line-number="6">umi =<span class="st"> </span><span class="kw">bcds</span>(umi)</a></code></pre></div>
-<pre><code>## [1] train-error:0.056712+0.006782 test-error:0.090820+0.022608
+<pre><code>## [1] train-error:0.058299+0.009273 test-error:0.098960+0.018377
## Multiple eval metrics are present. Will use test_error for early stopping.
## Will train until test_error hasn't improved in 2 rounds.
##
-## [2] train-error:0.042102+0.002537 test-error:0.084458+0.011641
-## [3] train-error:0.031539+0.002448 test-error:0.071155+0.009566
-## [4] train-error:0.029224+0.001912 test-error:0.072279+0.017508
-## [5] train-error:0.024595+0.002624 test-error:0.066512+0.016282
-## [6] train-error:0.021412+0.001913 test-error:0.063073+0.009557
-## [7] train-error:0.018373+0.002762 test-error:0.056687+0.016847
-## [8] train-error:0.016636+0.004358 test-error:0.052079+0.011572
-## [9] train-error:0.014466+0.002777 test-error:0.051499+0.008444
-## [10] train-error:0.012731+0.001173 test-error:0.048021+0.010077
-## [11] train-error:0.012586+0.001800 test-error:0.046292+0.011280
-## [12] train-error:0.009692+0.002442 test-error:0.045707+0.009178
-## [13] train-error:0.007957+0.002586 test-error:0.043398+0.007749
-## [14] train-error:0.007378+0.002521 test-error:0.043393+0.009114
-## [15] train-error:0.007668+0.002402 test-error:0.043398+0.008171
-## [16] train-error:0.006944+0.002024 test-error:0.041084+0.009753
-## [17] train-error:0.004919+0.002115 test-error:0.038186+0.008825
-## [18] train-error:0.004774+0.002024 test-error:0.038761+0.008839
-## [19] train-error:0.003906+0.001863 test-error:0.037021+0.008974
-## [20] train-error:0.003038+0.001674 test-error:0.036447+0.008460
-## [21] train-error:0.002604+0.001084 test-error:0.037606+0.009120
-## [22] train-error:0.002604+0.000982 test-error:0.038181+0.010044
+## [2] train-error:0.046296+0.003294 test-error:0.076397+0.019991
+## [3] train-error:0.034001+0.004358 test-error:0.064817+0.012391
+## [4] train-error:0.028069+0.002583 test-error:0.056727+0.014316
+## [5] train-error:0.022861+0.003607 test-error:0.057306+0.014178
+## [6] train-error:0.020401+0.002954 test-error:0.056752+0.019521
## Stopping. Best iteration:
-## [20] train-error:0.003038+0.001674 test-error:0.036447+0.008460
+## [4] train-error:0.028069+0.002583 test-error:0.056727+0.014316
##
-## [1] train-error:0.065972
+## [1] train-error:0.049769
## Will train until train_error hasn't improved in 2 rounds.
##
## [2] train-error:0.046875
-## [3] train-error:0.030671
-## [4] train-error:0.028356
-## [5] train-error:0.022569
-## [6] train-error:0.021412
-## [7] train-error:0.019676
-## [8] train-error:0.018519
-## [9] train-error:0.016204
-## [10] train-error:0.013310
-## [11] train-error:0.011574
-## [12] train-error:0.009838
-## [13] train-error:0.008102</code></pre>
+## [3] train-error:0.039352</code></pre>
<div class="sourceCode" id="cb220"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb220-1" data-line-number="1"><span class="co">#- Combine both annotations into a hybrid annotation</span></a>
<a class="sourceLine" id="cb220-2" data-line-number="2">umi =<span class="st"> </span><span class="kw">cxds_bcds_hybrid</span>(umi)</a>
<a class="sourceLine" id="cb220-3" data-line-number="3"></a>
<a class="sourceLine" id="cb220-4" data-line-number="4"><span class="co">#- Doublet scores are now available via colData:</span></a>
<a class="sourceLine" id="cb220-5" data-line-number="5">CD =<span class="st"> </span><span class="kw">colData</span>(umi)</a>
<a class="sourceLine" id="cb220-6" data-line-number="6"><span class="kw">head</span>(<span class="kw">cbind</span>(CD<span class="op">$</span>cxds_score,CD<span class="op">$</span>bcds_score, CD<span class="op">$</span>hybrid_score))</a></code></pre></div>
-<pre><code>## [,1] [,2] [,3]
-## NA19098.r1.A01 4131.405 0.013268524 0.2493021
-## NA19098.r1.A02 4564.089 0.006372486 0.2676119
-## NA19098.r1.A03 2827.904 0.002598290 0.1619169
-## NA19098.r1.A04 4708.213 0.013077467 0.2829361
-## NA19098.r1.A05 6134.590 0.005533409 0.3588618
-## NA19098.r1.A06 5810.730 0.006969100 0.3413388</code></pre>
+<pre><code>## [,1] [,2] [,3]
+## NA19098.r1.A01 4131.405 0.1356272 0.2441677
+## NA19098.r1.A02 4564.089 0.2825648 0.4695857
+## NA19098.r1.A03 2827.904 0.1368439 0.1693738
+## NA19098.r1.A04 4708.213 0.1318728 0.2728862
+## NA19098.r1.A05 6134.590 0.1356003 0.3616178
+## NA19098.r1.A06 5810.730 0.1390059 0.3472598</code></pre>
<div class="sourceCode" id="cb222"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb222-1" data-line-number="1"><span class="kw">plotColData</span>(</a>
<a class="sourceLine" id="cb222-2" data-line-number="2"> umi,</a>
<a class="sourceLine" id="cb222-3" data-line-number="3"> <span class="dt">x =</span> <span class="st">"total_features_by_counts"</span>,</a>
@@ -1902,6 +1882,9 @@ Figure 6.22: tSNE map of the tung data (perplexity = 200)
</div>
<h3> References</h3>
<div id="refs" class="references">
+<div id="ref-Bais2019-wv">
+<p>Bais, Abha S, and Dennis Kostka. 2019. “scds: Computational Annotation of Doublets in Single-Cell RNA Sequencing Data.†<em>Bioinformatics</em>, September. <a href="https://doi.org/10.1093/bioinformatics/btz698">https://doi.org/10.1093/bioinformatics/btz698</a>.</p>
+</div>
<div id="ref-Tung2017-ba">
<p>Tung, Po-Yuan, John D. Blischak, Chiaowen Joyce Hsiao, David A. Knowles, Jonathan E. Burnett, Jonathan K. Pritchard, and Yoav Gilad. 2017. “Batch Effects and the Effective Design of Single-Cell Gene Expression Studies.†<em>Sci. Rep.</em> 7 (January). Springer Nature: 39921. <a href="https://doi.org/10.1038/srep39921">https://doi.org/10.1038/srep39921</a>.</p>
</div>
diff --git a/public/references.html b/public/references.html
index de88f25..e4312e7 100644
--- a/public/references.html
+++ b/public/references.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -521,6 +527,9 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<p>Archer, Nathan, Mark D. Walsh, Vahid Shahrezaei, and Daniel Hebenstreit. 2016. “Modeling Enzyme Processivity Reveals That RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways.†<em>Cell Systems</em> 3 (5). Elsevier BV: 467–479.e12. <a href="https://doi.org/10.1016/j.cels.2016.10.012">https://doi.org/10.1016/j.cels.2016.10.012</a>.</p>
</div>
<div>
+<p>Bais, Abha S, and Dennis Kostka. 2019. “scds: Computational Annotation of Doublets in Single-Cell RNA Sequencing Data.†<em>Bioinformatics</em>, September. <a href="https://doi.org/10.1093/bioinformatics/btz698">https://doi.org/10.1093/bioinformatics/btz698</a>.</p>
+</div>
+<div>
<p>Blondel, Vincent D, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008. “Fast Unfolding of Communities in Large Networks.†<em>Journal of Statistical Mechanics: Theory and Experiment</em> 2008 (10). IOP Publishing: P10008.</p>
</div>
<div>
@@ -551,6 +560,9 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<p>Dobin, Alexander, Carrie A Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, and Thomas R Gingeras. 2013. “STAR: Ultrafast Universal Rna-Seq Aligner.†<em>Bioinformatics</em> 29 (1): 15–21. <a href="https://doi.org/10.1093/bioinformatics/bts635">https://doi.org/10.1093/bioinformatics/bts635</a>.</p>
</div>
<div>
+<p>Finak, Greg, Andrew McDavid, Masanao Yajima, Jingyuan Deng, Vivian Gersuk, Alex K Shalek, Chloe K Slichter, et al. 2015. “MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.†<em>Genome Biology</em> 16 (1): 1–13. <a href="https://doi.org/10.1186/s13059-015-0844-5">https://doi.org/10.1186/s13059-015-0844-5</a>.</p>
+</div>
+<div>
<p>Freytag, Saskia, Luyi Tian, Ingrid Lönnstedt, Milica Ng, and Melanie Bahlo. 2018. “Comparison of Clustering Tools in R for Medium-Sized 10x Genomics Single-Cell Rna-Sequencing Data.†<em>F1000Research</em> 7. Faculty of 1000 Ltd.</p>
</div>
<div>
@@ -659,6 +671,9 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<p>Segerstolpe, Åsa, Athanasia Palasantza, Pernilla Eliasson, Eva-Marie Andersson, Anne-Christine Andréasson, Xiaoyan Sun, Simone Picelli, et al. 2016. “Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes.†<em>Cell Metabolism</em> 24 (4). Elsevier BV: 593–607. <a href="https://doi.org/10.1016/j.cmet.2016.08.020">https://doi.org/10.1016/j.cmet.2016.08.020</a>.</p>
</div>
<div>
+<p>Soneson, Charlotte, and Mark D Robinson. 2018. “Bias, robustness and scalability in single-cell differential expression analysis.†<em>Nature Methods</em>, February. Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. <a href="https://doi.org/10.1038/nmeth.4612">https://doi.org/10.1038/nmeth.4612</a>.</p>
+</div>
+<div>
<p>Soumillon, Magali, Davide Cacchiarelli, Stefan Semrau, Alexander van Oudenaarden, and Tarjei S Mikkelsen. 2014. “Characterization of Directed Differentiation by High-Throughput Single-Cell RNA-Seq.†<em>bioRxiv</em>, March, 003236.</p>
</div>
<div>
@@ -695,9 +710,6 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<p>William Townes, F, Stephanie C Hicks, Martin J Aryee, and Rafael A Irizarry. 2019. “Feature Selection and Dimension Reduction for Single Cell RNA-Seq based on a Multinomial Model.†<em>bioRxiv</em>. <a href="https://doi.org/10.1101/574574">https://doi.org/10.1101/574574</a>.</p>
</div>
<div>
-<p>Xu, Chen, and Zhengchang Su. 2015. “Identification of Cell Types from Single-Cell Transcriptomes Using a Novel Clustering Method.†<em>Bioinformatics</em> 31 (12). Oxford University Press: 1974–80.</p>
-</div>
-<div>
<p>Ziegenhain, Christoph, Beate Vieth, Swati Parekh, Björn Reinius, Amy Guillaumet-Adkins, Martha Smets, Heinrich Leonhardt, Holger Heyn, Ines Hellmann, and Wolfgang Enard. 2017. “Comparative Analysis of Single-Cell RNA Sequencing Methods.†<em>Molecular Cell</em> 65 (4). Elsevier BV: 631–643.e4. <a href="https://doi.org/10.1016/j.molcel.2017.01.023">https://doi.org/10.1016/j.molcel.2017.01.023</a>.</p>
</div>
</div>
diff --git a/public/remove-conf.md b/public/remove-conf.md
index 480ed1b..90f6c36 100644
--- a/public/remove-conf.md
+++ b/public/remove-conf.md
@@ -200,3743 +200,39 @@ What do you think of the results of this approach?
#### Negative binomial generalized linear models
+__Advanced exercise__
-### sctransform
-
-The `sctransform` approach to using Pearson residuals from an regularized
-negative binomial generalized linear model was introduced above. Here we
-demonstrate how to apply this method.
-
-Note that (due to what looks like a bug in this version of `sctransform`) we
-need to convert the UMI count matrix to a sparse format to apply sctransform.
-
-These `sctransform` results will face the problem mentioned above of batch being
-nested within individual, which means that we cannot directly remove batch
-effects without removing differences between individuals. However, here we will
-demonstrate how you *would* try to remove batch effects with `sctransform` for a
-kinder experimental design.
-
-
-```r
-umi_sparse <- as(counts(umi.qc), "dgCMatrix")
-### Genes expressed in at least 5 cells will be kept
-sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1,
- cell_attr = as.data.frame(colData(umi.qc)),
- latent_var = c("log10_total_counts_endogenous", "batch"))
-```
-
-```
-## Calculating cell attributes for input UMI matrix
-```
-
-```
-## Variance stabilizing transformation of count matrix of size 14066 by 657
-```
-
-```
-## Model formula is y ~ log10_total_counts_endogenous + batch
-```
-
-```
-## Get Negative Binomial regression parameters per gene
-```
-
-```
-## Using 2000 genes, 657 cells
-```
-
-```
-##
|
| | 0%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-## Warning in sqrt(1/i): NaNs produced
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|======== | 12%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|================ | 25%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|======================== | 38%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|================================ | 50%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|========================================= | 62%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|================================================= | 75%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|========================================================= | 88%
-```
-
-```
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
+Can you use the `edgeR` package to use a negative binomial generalized linear
+model to regress out batch effects?
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
+_Hint_: follow a similar approach to that taken in the `limma` example above.
+You will need to use the `DGEList()`, `estimateDisp()`, and `glmQLFit()`
+functions.
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-
-## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached
-```
-
-```
-##
|
|=================================================================| 100%
-```
-
-```
-## Found 123 outliers - those will be ignored in fitting/regularization step
-```
+### sctransform
-```
-## Second step: Get residuals using fitted parameters for 14066 genes
-```
+The `sctransform` approach to using Pearson residuals from an regularized
+negative binomial generalized linear model was introduced above. Here we
+demonstrate how to apply this method.
-```
-##
|
| | 0%
|
|= | 2%
|
|== | 4%
|
|==== | 5%
|
|===== | 7%
|
|====== | 9%
|
|======= | 11%
|
|======== | 13%
|
|========= | 15%
|
|=========== | 16%
|
|============ | 18%
|
|============= | 20%
|
|============== | 22%
|
|=============== | 24%
|
|================= | 25%
|
|================== | 27%
|
|=================== | 29%
|
|==================== | 31%
|
|===================== | 33%
|
|====================== | 35%
|
|======================== | 36%
|
|========================= | 38%
|
|========================== | 40%
|
|=========================== | 42%
|
|============================ | 44%
|
|============================== | 45%
|
|=============================== | 47%
|
|================================ | 49%
|
|================================= | 51%
|
|================================== | 53%
|
|=================================== | 55%
|
|===================================== | 56%
|
|====================================== | 58%
|
|======================================= | 60%
|
|======================================== | 62%
|
|========================================= | 64%
|
|=========================================== | 65%
|
|============================================ | 67%
|
|============================================= | 69%
|
|============================================== | 71%
|
|=============================================== | 73%
|
|================================================ | 75%
|
|================================================== | 76%
|
|=================================================== | 78%
|
|==================================================== | 80%
|
|===================================================== | 82%
|
|====================================================== | 84%
|
|======================================================== | 85%
|
|========================================================= | 87%
|
|========================================================== | 89%
|
|=========================================================== | 91%
|
|============================================================ | 93%
|
|============================================================= | 95%
|
|=============================================================== | 96%
|
|================================================================ | 98%
|
|=================================================================| 100%
-```
+Note that (due to what looks like a bug in this version of `sctransform`) we
+need to convert the UMI count matrix to a sparse format to apply sctransform.
-```
-## Calculating gene attributes
-```
+These `sctransform` results will face the problem mentioned above of batch being
+nested within individual, which means that we cannot directly remove batch
+effects without removing differences between individuals. However, here we will
+demonstrate how you *would* try to remove batch effects with `sctransform` for a
+kinder experimental design.
-```
-## Wall clock passed: Time difference of 28.12818 secs
-```
```r
+umi_sparse <- as(counts(umi.qc), "dgCMatrix")
+### Genes expressed in at least 5 cells will be kept
+sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1,
+ cell_attr = as.data.frame(colData(umi.qc)),
+ latent_var = c("log10_total_counts_endogenous", "batch"))
## Pearson residuals, or deviance residuals
sctnorm_data$model_str
-```
-
-```
-## [1] "y ~ log10_total_counts_endogenous + batch"
-```
-
-```r
assay(umi.qc, "sctrans_norm") <- sctnorm_data$y
```
@@ -4176,36 +472,13 @@ actually be slower on small datasets like that considered here.]
indi1 <- batchelor::fastMNN(
umi.qc[, umi.qc$individual == "NA19098"],
batch = umi.qc[, umi.qc$individual == "NA19098"]$replicate)
-```
-
-```
-## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or
-## derivative
-```
-
-```r
indi2 <- batchelor::fastMNN(
umi.qc[, umi.qc$individual == "NA19101"],
batch = umi.qc[, umi.qc$individual == "NA19101"]$replicate)
-```
-
-```
-## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or
-## derivative
-```
-
-```r
indi3 <- batchelor::fastMNN(
umi.qc[, umi.qc$individual == "NA19239"],
batch = umi.qc[, umi.qc$individual == "NA19239"]$replicate)
-```
-
-```
-## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or
-## derivative
-```
-```r
identical(colnames(umi.qc),
colnames(cbind(assay(indi1, "reconstructed"),
assay(indi2, "reconstructed"),
@@ -4260,49 +533,6 @@ umi.qc.endog <- umi.qc[endog_genes,]
umi.qc.endog <- runPCA(umi.qc.endog, exprs_values = 'logcounts', ncomponents = 20)
pca <- as.matrix(reducedDim(umi.qc.endog, "PCA"))
harmony_emb <- HarmonyMatrix(pca, umi.qc.endog$batch, theta=2, do_pca=FALSE)
-```
-
-```
-## Harmony 1/10
-```
-
-```
-## Harmony 2/10
-```
-
-```
-## Harmony 3/10
-```
-
-```
-## Harmony 4/10
-```
-
-```
-## Harmony 5/10
-```
-
-```
-## Harmony 6/10
-```
-
-```
-## Harmony 7/10
-```
-
-```
-## Harmony 8/10
-```
-
-```
-## Harmony 9/10
-```
-
-```
-## Harmony 10/10
-```
-
-```r
reducedDim(umi.qc.endog, "harmony") <- harmony_emb
plotReducedDim(
diff --git a/public/resources.html b/public/resources.html
index be20820..8d3d5e4 100644
--- a/public/resources.html
+++ b/public/resources.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
diff --git a/public/search_index.json b/public/search_index.json
index 933afc8..45d173a 100644
--- a/public/search_index.json
+++ b/public/search_index.json
@@ -1,16 +1,16 @@
[
-["index.html", "Analysis of single cell RNA-seq data 1 About the course 1.1 Web page 1.2 GitLab 1.3 Video 1.4 Docker image 1.5 Manual installation 1.6 Citation 1.7 License 1.8 Prerequisites 1.9 Contact", " Analysis of single cell RNA-seq data Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg) 2019-10-01 1 About the course Today it is possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). The cellular resolution and the genome-wide scope of scRNA-seq makes it possible to address issues that are intractable using other methods like bulk RNA-seq or single-cell RT-qPCR. However, scRNA-seq data poses many challenges due to the scale and complexity of scRNA-seq datasets, with novel methods often required to account for the particular characteristics of the data. In this course we will discuss some of the questions that can be addressed using scRNA-seq as well as the available computational and statistical methods. We will cover key features of the technology platforms and fundamental principles of scRNA-seq data analysis that are transferable across technologies and analysis workflows. The number of computational tools is already vast and increasing rapidly, so we provide hands-on workflows using some of our favourite tools on carefully selected, biologically-relevant example datasets. Across two days, attendees can expect to gain an understanding of approaches to and practical analysis experience on: quality control, data normalisation, visualisation, clustering, trajectory (pseudotime) inference, differential expression, batch correction and data integration. Course outline: Day 1: Morning session 1: Workshop overview; introduction to scRNA-seq; pre-processing scRNA-seq data Morning session 2: Quality control, visualisation and exploratory data analysis Afternoon session 1: Normalisation, confounders and batch correction Afternoon session 2: Latent spaces, clustering and cell annotation Day 2: Morning session 1: Trajectory inference Morning session 2: Differential expression; data imputation Afternoon session 1: Combining datasets and data integration Afternoon session 2: Case studies This course has been adapted from a course taught through the University of Cambridge Bioinformatics training unit, but the material is meant for anyone interested in learning about computational analysis of scRNA-seq data and is updated roughly twice per year. The number of computational tools is increasing rapidly and we are doing our best to keep up to date with what is available. One of the main constraints for this course is that we would like to use tools that are implemented in R and that run reasonably fast. Moreover, we will also confess to being somewhat biased towards methods that have been developed either by us or by our friends and colleagues. 1.1 Web page The html version of the workshop material is available at the following link: https://biocellgen-public.svi.edu.au/mig_2019_scrnaseq-workshop/public/index.html 1.2 GitLab The source code and materials for the course are available at the SVI Bioinformatics and Cellular Genomics Lab’s GitLab: https://gitlab.svi.edu.au/biocellgen-public/mig_2019_scrnaseq-workshop 1.3 Video This video was recorded during the course (2 days) in May 2019 in Cambridge, UK. This recorded version of the course differs slightly from the version in this document. 1.3.1 Day 1 1.3.2 Day 2 1.4 Docker image The course can be reproduced without any package installation by running the course docker image which contains all the required packages. Workshop Docker Repository on DockerHub 1.4.1 Run the image Make sure Docker is installed on your system. If not, please follow these instructions. To run the course docker image (use the latest version): docker run -p 8888:8888 -e PASSWORD="jupyter" svibiocellgen/mig_2019_scrnaseq-workshop:v1.01 Then follow the instructions provided, e.g.: To access the notebook, open this file in a browser: file:///home/jovyan/.local/share/jupyter/runtime/nbserver-6-open.html Or copy and paste one of these URLs: http://(a9ee1aad5398 or 127.0.0.1):8888/?token=22debff49d9aae3c50e6b0b5241b47eefb1b8f883fcb7e6d A Jupyter session will be open in a web browser (we recommend Chrome). 1.4.1.1 Windows users On Windows operating system the IP address of the container can be different from 127.0.0.1 (localhost). To find the IP address please run: docker-machine ip default 1.4.2 Download data/other files 1.4.2.1 Download from AWS (within Docker) Recommended if you are using Docker In the Jupyter session, please click on New -> Terminal. In the new terminal window please run: ./poststart.sh 1.4.2.2 Manual download from AWS If you want to download data files from AWS outside of Docker image you can still use the same poststart.sh script but you will need to install AWS CLI on your computer. Alternatively, you can browse and download the files in you web-browser by visiting this link. NB: Only the core datasets (i.e. not Tabula Muris) are available from AWS storage. 1.4.2.3 Manual download from SVI Recommended if you are using your own computer For simplicity, we have also hosted the core datasets used in the course and a subset of the Tabula Muris data on SVI websites. There are two files to download, both “tarballsâ€, i.e. compressed archives of multiple folders and files. 1.4.2.3.1 Core datasets To download the core datasets, click this link (195Mb). It is most convenient to download the tarball to the head directory for the course. We then want to unpack the tarball and move it to a directory called data in the head directory of the repository. To do this at the command line: wget https://www.svi.edu.au/MIG_2019_scRNAseq-workshop/mig-sc-workshop-2019-data.tar.gz mkdir workshop-data tar -xvf mig-sc-workshop-2019-data.tar.gz --directory workshop-data mv workshop-data/mnt/mcfiles/Datasets/MIG_2019_scRNAseq-workshop/data ./ rm -r workshop-data [This requires a little bit of faff to get all of the directory paths correct and then tidy updated.] Alternatively, if you are working on your laptop, unpack the tarball using the default method on your system (usually a double click on the *.tar.gz file will do the trick) and drag and drop the data folder to the workshop directory. 1.4.2.3.2 Tabula Muris To download the Tabula Muris data, clink this link (655Mb). We then go through a similar process as described above to unpack the tarball. wget https://www.svi.edu.au/MIG_2019_scRNAseq-workshop/Tabula_Muris.tar.gz tar -xvf Tabula_Muris.tar.gz mv mnt/mcfiles/Datasets/Tabula_Muris data rm -r mnt 1.4.2.3.3 Desired results The data folder then should contain both the core datasets and the Tabula Muris data, and have the following structure: data ├── 10cells_barcodes.txt ├── 2000_reference.transcripts.fa ├── deng │  └── deng-reads.rds ├── droplet_id_example_per_barcode.txt.gz ├── droplet_id_example_truth.gz ├── EXAMPLE.cram ├── pancreas │  ├── muraro.rds │  └── segerstolpe.rds ├── pbmc3k_filtered_gene_bc_matrices │  └── hg19 │  ├── barcodes.tsv │  ├── genes.tsv │  └── matrix.mtx ├── sce │  ├── Heart_10X.rds │  └── Thymus_10X.rds ├── Tabula_Muris │  ├── droplet │  │  ├── droplet │  │  ├── droplet_annotation.csv │  │  └── droplet_metadata.csv │  └── FACS_smartseq2 │  ├── FACS │  ├── FACS_annotations.csv │  └── FACS_metadata.csv └── tung ├── annotation.txt ├── molecules.txt ├── reads.txt ├── TNs.txt └── TPs.txt 11 directories, 22 files With the files in these locations, everything is set up to run the code as presented in the RMarkdown files in the workshop. 1.4.3 RStudio Now go back to Jupyter browser tab and change word tree in the url to rstudio. RStudio server will open with all of the course files, software and the data folder available. 1.5 Manual installation If you are not using a docker image of the course, then to be able to run all code chunks of the course you need to clone or download the course GitHub repository and start an R session in the course_files folder. You will also need to install all required packages manually. We are using Bioconductor version 3.9 packages in this version of the course. The install.R file in the workshop repository provides the necessary commands for installing all of the required packages. You can run this script from the command line with Rscript install.R or copy-and-paste the commands into an R session and run them interactively. Alternatively, you can just install packages listed in a chapter of interest. 1.6 Citation This version of the workshop has been updated by Davis J. McCarthy, Ruqian Lyu and PuXue Qiao, based on the 2019-07-01 version of the course: Ruqian Lyu, PuXue Qiao, Vladimir Kiselev, Tallulah Andrews, Jennifer Westoby, Maren Büttner, Jimmy Lee, Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez, Martin Hemberg and Davis J. McCarthy, (2019), “Analysis of single cell RNA-seq dataâ€, https://scrnaseq-course.cog.sanger.ac.uk/website/index.html 1.7 License All of the course material is licensed under GPL-3. Anyone is welcome to go through the material in order to learn about analysis of scRNA-seq data. If you plan to use the material for your own teaching, we would appreciate if you tell us about it in addition to providing a suitable citation. 1.8 Prerequisites The course is intended for those who have basic familiarity with Unix and the R statistical language. We will also assume that you are familiar with mapping and analysing bulk RNA-seq data as well as with the commonly available computational tools. We recommend attending the Introduction to RNA-seq and ChIP-seq data analysis or the Analysis of high-throughput sequencing data with Bioconductor before attending this course. 1.9 Contact If you have any comments, questions or suggestions about the material, please contact Davis McCarthy. "],
-["introduction-to-single-cell-rna-seq.html", "2 Introduction to single-cell RNA-seq 2.1 Bulk RNA-seq 2.2 scRNA-seq 2.3 Workflow 2.4 Computational Analysis 2.5 Challenges 2.6 Experimental methods 2.7 What platform to use for my experiment? 2.8 Unique Molecular Identifiers (UMIs)", " 2 Introduction to single-cell RNA-seq 2.1 Bulk RNA-seq A major breakthrough (replaced microarrays) in the late 00’s and has been widely used since Measures the average expression level for each gene across a large population of input cells Useful for comparative transcriptomics, e.g. samples of the same tissue from different species Useful for quantifying expression signatures from ensembles, e.g. in disease studies Insufficient for studying heterogeneous systems, e.g. early development studies, complex tissues (brain) Does not provide insights into the stochastic nature of gene expression 2.2 scRNA-seq A new technology, first publication by (Tang et al. 2009) Did not gain widespread popularity until ~2014 when new protocols and lower sequencing costs made it more accessible Measures the distribution of expression levels for each gene across a population of cells Allows to study new biological questions in which cell-specific changes in transcriptome are important, e.g. cell type identification, heterogeneity of cell responses, stochasticity of gene expression, inference of gene regulatory networks across the cells. Datasets range from \\(10^2\\) to \\(10^6\\) cells and increase in size every year Currently there are several different protocols in use, e.g. SMART-seq2 (Picelli et al. 2013), CELL-seq (Hashimshony et al. 2012) and Drop-seq (Macosko et al. 2015) There are also commercial platforms available, including the Fluidigm C1, Wafergen ICELL8 and the 10X Genomics Chromium Several computational analysis methods from bulk RNA-seq can be used In most cases computational analysis requires adaptation of the existing methods or development of new ones 2.3 Workflow Figure 2.1: Single cell sequencing (taken from Wikipedia) Overall, experimental scRNA-seq protocols are similar to the methods used for bulk RNA-seq. We will be discussing some of the most common approaches in the next chapter. 2.4 Computational Analysis This course is concerned with the computational analysis of the data obtained from scRNA-seq experiments. The first steps (yellow) are general for any highthroughput sequencing data. Later steps (orange) require a mix of existing RNASeq analysis methods and novel methods to address the technical difference of scRNASeq. Finally the biological interpretation (blue) should be analyzed with methods specifically developed for scRNASeq. Figure 2.2: Flowchart of the scRNA-seq analysis There are several reviews of the scRNA-seq analysis available including (Stegle, Teichmann, and Marioni 2015). Today, there are also several different platforms available for carrying out one or more steps in the flowchart above. These include: Falco a single-cell RNA-seq processing framework on the cloud. SCONE (Single-Cell Overview of Normalized Expression), a package for single-cell RNA-seq data quality control and normalization. Seurat is an R package designed for QC, analysis, and exploration of single cell RNA-seq data. ASAP (Automated Single-cell Analysis Pipeline) is an interactive web-based platform for single-cell analysis. Bioconductor is a open-source, open-development software project for the analysis of high-throughput genomics data, including packages for the analysis of single-cell data. 2.5 Challenges The main difference between bulk and single cell RNA-seq is that each sequencing library represents a single cell, instead of a population of cells. Therefore, significant attention has to be paid to comparison of the results from different cells (sequencing libraries). The main sources of discrepancy between the libraries are: Amplification (up to 1 million fold) Gene ‘dropouts’ in which a gene is observed at a moderate expression level in one cell but is not detected in another cell (Kharchenko, Silberstein, and Scadden 2014). In both cases the discrepancies are introduced due to low starting amounts of transcripts since the RNA comes from one cell only. Improving the transcript capture efficiency and reducing the amplification bias are currently active areas of research. However, as we shall see in this course, it is possible to alleviate some of these issues through proper normalization and corrections. 2.6 Experimental methods Figure 2.3: Moore’s law in single cell transcriptomics (image taken from Svensson et al) Development of new methods and protocols for scRNA-seq is currently a very active area of research, and several protocols have been published over the last few years. A non-comprehensive list includes: CEL-seq (Hashimshony et al. 2012) CEL-seq2 (Hashimshony et al. 2016) Drop-seq (Macosko et al. 2015) InDrop-seq (Klein et al. 2015) MARS-seq (Jaitin et al. 2014) SCRB-seq (Soumillon et al. 2014) Seq-well (Gierahn et al. 2017) Smart-seq (Picelli et al. 2014) Smart-seq2 (Picelli et al. 2014) SMARTer STRT-seq (Islam et al. 2013) The methods can be categorized in different ways, but the two most important aspects are quantification and capture. For quantification, there are two types, full-length and tag-based. The former tries to achieve a uniform read coverage of each transcript. By contrast, tag-based protocols only capture either the 5’- or 3’-end of each RNA. The choice of quantification method has important implications for what types of analyses the data can be used for. In theory, full-length protocols should provide an even coverage of transcripts, but as we shall see, there are often biases in the coverage. The main advantage of tag-based protocol is that they can be combined with unique molecular identifiers (UMIs) which can help improve the quantification (see chapter 2.8). On the other hand, being restricted to one end of the transcript may reduce the mappability and it also makes it harder to distinguish different isoforms (Archer et al. 2016). The strategy used for capture determines throughput, how the cells can be selected as well as what kind of additional information besides the sequencing that can be obtained. The three most widely used options are microwell-, microfluidic- and droplet- based. Figure 2.4: Image of microwell plates (image taken from Wikipedia) For well-based platforms, cells are isolated using for example pipette or laser capture and placed in microfluidic wells. One advantage of well-based methods is that they can be combined with fluorescent activated cell sorting (FACS), making it possible to select cells based on surface markers. This strategy is thus very useful for situations when one wants to isolate a specific subset of cells for sequencing. Another advantage is that one can take pictures of the cells. The image provides an additional modality and a particularly useful application is to identify wells containg damaged cells or doublets. The main drawback of these methods is that they are often low-throughput and the amount of work required per cell may be considerable. Figure 2.5: Image of a 96-well Fluidigm C1 chip (image taken from Fluidigm) Microfluidic platforms, such as Fluidigm’s C1, provide a more integrated system for capturing cells and for carrying out the reactions necessary for the library preparations. Thus, they provide a higher throughput than microwell based platforms. Typically, only around 10% of cells are captured in a microfluidic platform and thus they are not appropriate if one is dealing with rare cell-types or very small amounts of input. Moreover, the chip is relatively expensive, but since reactions can be carried out in a smaller volume money can be saved on reagents. Figure 2.6: Schematic overview of the drop-seq method (Image taken from Macosko et al) The idea behind droplet based methods is to encapsulate each individual cell inside a nanoliter droplet together with a bead. The bead is loaded with the enzymes required to construct the library. In particular, each bead contains a unique barcode which is attached to all of the reads originating from that cell. Thus, all of the droplets can be pooled, sequenced together and the reads can subsequently be assigned to the cell of origin based on the barcodes. Droplet platforms typically have the highest throughput since the library preparation costs are on the order of \\(.05\\) USD/cell. Instead, sequencing costs often become the limiting factor and a typical experiment the coverage is low with only a few thousand different transcripts detected (Ziegenhain et al. 2017). 2.7 What platform to use for my experiment? The most suitable platform depends on the biological question at hand. For example, if one is interested in characterizing the composition of a tissue, then a droplet-based method which will allow a very large number of cells to be captured is likely to be the most appropriate. On the other hand, if one is interesting in characterizing a rare cell-population for which there is a known surface marker, then it is probably best to enrich using FACS and then sequence a smaller number of cells. Clearly, full-length transcript quantification will be more appropriate if one is interested in studying different isoforms since tagged protocols are much more limited. By contrast, UMIs can only be used with tagged protocols and they can facilitate gene-level quantification. Two recent studies from the Enard group (Ziegenhain et al. 2017) and the Teichmann group (Svensson et al. 2017) have compared several different protocols. In their study, Ziegenhain et al compared five different protocols on the same sample of mouse embryonic stem cells (mESCs). By controlling for the number of cells as well as the sequencing depth, the authors were able to directly compare the sensitivity, noise-levels and costs of the different protocols. One example of their conclusions is illustrated in the figure below which shows the number of genes detected (for a given detection threshold) for the different methods. As you can see, there is almost a two-fold difference between drop-seq and Smart-seq2, suggesting that the choice of protocol can have a major impact on the study Figure 2.7: Enard group study Svensson et al take a different approach by using synthetic transcripts (spike-ins, more about these later) with known concentrations to measure the accuracy and sensitivity of different protocols. Comparing a wide range of studies, they also reported substantial differences between the protocols. Figure 2.8: Teichmann group study As protocols are developed and computational methods for quantifying the technical noise are improved, it is likely that future studies will help us gain further insights regarding the strengths of the different methods. These comparative studies are helpful not only for helping researchers decide which protocol to use, but also for developing new methods as the benchmarking makes it possible to determine what strategies are the most useful ones. 2.8 Unique Molecular Identifiers (UMIs) Thanks to Andreas Buness from EMBL Monterotondo for collaboration on this section. 2.8.1 Introduction Unique Molecular Identifiers are short (4-10bp) random barcodes added to transcripts during reverse-transcription. They enable sequencing reads to be assigned to individual transcript molecules and thus the removal of amplification noise and biases from scRNASeq data. Figure 2.9: UMI sequencing protocol When sequencing UMI containing data, techniques are used to specifically sequence only the end of the transcript containing the UMI (usually the 3’ end). 2.8.2 Mapping Barcodes Since the number of unique barcodes (\\(4^N\\), where \\(N\\) is the length of UMI) is much smaller than the total number of molecules per cell (~\\(10^6\\)), each barcode will typically be assigned to multiple transcripts. Hence, to identify unique molecules both barcode and mapping location (transcript) must be used. The first step is to map UMI reads, for which we recommend using STAR since it is fast and outputs good quality BAM-alignments. Moreover, mapping locations can be useful for eg. identifying poorly-annotated 3’ UTRs of transcripts. UMI-sequencing typically consists of paired-end reads where one read from each pair captures the cell and UMI barcodes while the other read consists of exonic sequence from the transcript (Figure 2.10). Note that trimming and/or filtering to remove reads containing poly-A sequence is recommended to avoid erors due to these read mapping to genes/transcripts with internal poly-A/poly-T sequences. After processing the reads from a UMI experiment, the following conventions are often used: The UMI is added to the read name of the other paired read. Reads are sorted into separate files by cell barcode For extremely large, shallow datasets, the cell barcode may be added to the read name as well to reduce the number of files. Figure 2.10: UMI sequencing reads, red lightning bolts represent different fragmentation locations 2.8.3 Counting Barcodes In theory, every unique UMI-transcript pair should represent all reads originating from a single RNA molecule. However, in practice this is frequently not the case and the most common reasons are: Different UMI does not necessarily mean different molecule Due to PCR or sequencing errors, base-pair substitution events can result in new UMI sequences. Longer UMIs give more opportunity for errors to arise and based on estimates from cell barcodes we expect 7-10% of 10bp UMIs to contain at least one error. If not corrected for, this type of error will result in an overestimate of the number of transcripts. Different transcript does not necessarily mean different molecule Mapping errors and/or multimapping reads may result in some UMIs being assigned to the wrong gene/transcript. This type of error will also result in an overestimate of the number of transcripts. Same UMI does not necessarily mean same molecule Biases in UMI frequency and short UMIs can result in the same UMI being attached to different mRNA molecules from the same gene. Thus, the number of transcripts may be underestimated. Figure 2.11: Potential Errors in UMIs 2.8.4 Correcting for Errors How to best account for errors in UMIs remains an active area of research. The best approaches that we are aware of for resolving the issues mentioned above are: UMI-tools’ directional-adjacency method implements a procedure which considers both the number of mismatches and the relative frequency of similar UMIs to identify likely PCR/sequencing errors. Currently an open question. The problem may be mitigated by removing UMIs with few reads to support their association with a particular transcript, or by removing all multi-mapping reads. Simple saturation (aka “collision probabilityâ€) correction proposed by Grun, Kester and van Oudenaarden (2014) to estimate the true number of molecules \\(M\\): \\[M \\approx -N*log(1 - \\frac{n}{N})\\] where N = total number of unique UMI barcodes and n = number of observed barcodes. An important caveat of this method is that it assumes that all UMIs are equally frequent. In most cases this is incorrect, since there is often a bias related to the GC content. Figure 2.12: Per gene amplification rate Determining how to best process and use UMIs is currently an active area of research in the bioinformatics community. We are aware of several methods that have recently been developed, including: UMI-tools PoissonUMIs zUMIs dropEst 2.8.5 Downstream Analysis Current UMI platforms (DropSeq, InDrop, ICell8) exhibit low and highly variable capture efficiency as shown in the figure below. Figure 2.13: Variability in Capture Efficiency This variability can introduce strong biases and it needs to be considered in downstream analysis. Recent analyses often pool cells/genes together based on cell-type or biological pathway to increase the power. Robust statistical analyses of this data is still an open research question and it remains to be determined how to best adjust for biases. Exercise 1 We have provided you with UMI counts and read counts from induced pluripotent stem cells generated from three different individuals (Tung et al. 2017) (see: Chapter 6.1 for details of this dataset). umi_counts <- read.table("data/tung/molecules.txt", sep = "\\t") read_counts <- read.table("data/tung/reads.txt", sep = "\\t") Using this data: Plot the variability in capture efficiency Determine the amplification rate: average number of reads per UMI. References "],
-["introduction-to-rbioconductor.html", "3 Introduction to R/Bioconductor 3.1 Installing packages 3.2 Installation instructions: 3.3 Data-types/classes 3.4 Basic data structures 3.5 Accessing documentation and help files 3.6 Data Types 3.7 What is Bioconductor? 3.8 SingleCellExperiment class 3.9 scater package 3.10 Introduction to ggplot2", " 3 Introduction to R/Bioconductor 3.1 Installing packages 3.1.1 CRAN The Comprehensive R Archive Network CRAN is the biggest archive of R packages. There are few requirements for uploading packages besides building and installing succesfully, hence documentation and support is often minimal and figuring how to use these packages can be a challenge it itself. CRAN is the default repository R will search to find packages to install: install.packages("devtools") require("devtools") 3.1.2 Github Github isn’t specific to R, any code of any type in any state can be uploaded. There is no guarantee a package uploaded to github will even install, nevermind do what it claims to do. R packages can be downloaded and installed directly from github using the “devtools†package installed above. devtools::install_github("tallulandrews/M3Drop") Github is also a version control system which stores multiple versions of any package. By default the most recent “master†version of the package is installed. If you want an older version or the development branch this can be specified using the “ref†parameter: # different branch devtools::install_github("tallulandrews/M3D", ref="nbumi") # previous commit devtools::install_github("tallulandrews/M3Drop", ref="434d2da28254acc8de4940c1dc3907ac72973135") Note: make sure you re-install the M3Drop master branch for later in the course. 3.1.3 Bioconductor Bioconductor is a repository of R-packages specifically for biological analyses. It has the strictest requirements for submission, including installation on every platform and full documentation with a tutorial (called a vignette) explaining how the package should be used. Bioconductor also encourages utilization of standard data structures/classes and coding style/naming conventions, so that, in theory, packages and analyses can be combined into large pipelines or workflows. source("https://bioconductor.org/biocLite.R") biocLite("edgeR") Note: in some situations it is necessary to substitute “http://†for “https://†in the above depending on the security features of your internet connection/network. Bioconductor also requires creators to support their packages and has a regular 6-month release schedule. Make sure you are using the most recent release of bioconductor before trying to install packages for the course. source("https://bioconductor.org/biocLite.R") biocLite("BiocUpgrade") 3.1.4 Source The final way to install packages is directly from source. In this case you have to download a fully built source code file, usually packagename.tar.gz, or clone the github repository and rebuild the package yourself. Generally this will only be done if you want to edit a package yourself, or if for some reason the former methods have failed. install.packages("M3Drop_3.05.00.tar.gz", type="source") 3.2 Installation instructions: All the packages necessary for this course are available here. Starting from “RUN Rscript -eâ€install.packages(‘devtools’)" “, run each of the commands (minusâ€RUN") on the command line or start an R session and run each of the commands within the quotation marks. Note the ordering of the installation is important in some cases, so make sure you run them in order from top to bottom. 3.3 Data-types/classes R is a high level language so the underlying data-type is generally not important. The exception if you are accessing R data directly using another language such as C, but that is beyond the scope of this course. Instead we will consider the basic data classes: numeric, integer, logical, and character, and the higher level data class called “factorâ€. You can check what class your data is using the “class()†function. Aside: R can also store data as “complex†for complex numbers but generally this isn’t relevant for biological analyses. 3.3.1 Numeric The “numeric†class is the default class for storing any numeric data - integers, decimal numbers, numbers in scientific notation, etc… x = 1.141 class(x) ## [1] "numeric" y = 42 class(y) ## [1] "numeric" z = 6.02e23 class(z) ## [1] "numeric" Here we see that even though R has an “integer†class and 42 could be stored more efficiently as an integer the default is to store it as “numericâ€. If we want 42 to be stored as an integer we must “coerce†it to that class: y = as.integer(42) class(y) ## [1] "integer" Coercion will force R to store data as a particular class, if our data is incompatible with that class it will still do it but the data will be converted to NAs: as.numeric("H") ## Warning: NAs introduced by coercion ## [1] NA Above we tried to coerce “character†data, identified by the double quotation marks, into numeric data which doesn’t make sense, so we triggered (“threwâ€) an warning message. Since this is only a warning R would continue with any subsequent commands in a script/function, whereas an “error†would cause R to halt. 3.3.2 Character/String The “character†class stores all kinds of text data. Programing convention calls data containing multiple letters a “stringâ€, thus most R functions which act on character data will refer to the data as “strings†and will often have “str†or “string†in it’s name. Strings are identified by being flanked by double quotation marks, whereas variable/function names are not: x = 5 a = "x" # character "x" a ## [1] "x" b = x # variable x b ## [1] 5 In addition to standard alphanumeric characters, strings can also store various special characters. Special characters are identified using a backlash followed by a single character, the most relevant are the special character for tab : \\t and new line : \\n. To demonstrate the these special characters lets concatenate (cat) together two strings with these characters separating (sep) them: cat("Hello", "World", sep= " ") ## Hello World cat("Hello", "World", sep= "\\t") ## Hello World cat("Hello", "World", sep= "\\n") ## Hello ## World Note that special characters work differently in different functions. For instance the paste function does the same thing as cat but does not recognize special characters. paste("Hello", "World", sep= " ") ## [1] "Hello World" paste("Hello", "World", sep= "\\t") ## [1] "Hello\\tWorld" paste("Hello", "World", sep= "\\n") ## [1] "Hello\\nWorld" Single or double backslash is also used as an escape character to turn off special characters or allow quotation marks to be included in strings: cat("This \\"string\\" contains quotation marks.") ## This "string" contains quotation marks. Special characters are generally only used in pattern matching, and reading/writing data to files. For instance this is how you would read a tab-separated file into R. dat = read.delim("file.tsv", sep="\\t") Another special type of character data are colours. Colours can be specified in three main ways: by name from those available, by red, green, blue values using the rgb function, and by hue (colour), saturation (colour vs white) and value (colour/white vs black) using the hsv function. By default rgb and hsv expect three values in 0-1 with an optional fourth value for transparency. Alternatively, sets of predetermined colours with useful properties can be loaded from many different packages with RColorBrewer being one of the most popular. reds = c("red", rgb(1,0,0), hsv(0, 1, 1)) reds ## [1] "red" "#FF0000" "#FF0000" barplot(c(1,1,1), col=reds, names=c("by_name", "by_rgb", "by_hsv")) 3.3.3 Logical The logical class stores boolean truth values, i.e. TRUE and FALSE. It is used for storing the results of logical operations and conditional statements will be coerced to this class. Most other data-types can be coerced to boolean without triggering (or “throwingâ€) error messages, which may cause unexpected behaviour. x = TRUE class(x) ## [1] "logical" y = "T" as.logical(y) ## [1] TRUE z = 5 as.logical(z) ## [1] TRUE x = FALSE class(x) ## [1] "logical" y = "F" as.logical(y) ## [1] FALSE z = 0 as.logical(z) ## [1] FALSE Exercise 1 Experiment with other character and numeric values, which are coerced to TRUE or FALSE? which are coerced to neither? Do you ever throw a warning/error message? 3.3.4 Factors String/Character data is very memory inefficient to store, each letter generally requires the same amount of memory as any integer. Thus when storing a vector of strings with repeated elements it is more efficient assign each element to an integer and store the vector as integers and an additional string-to-integer association table. Thus, by default R will read in text columns of a data table as factors. str_vector = c("Apple", "Apple", "Banana", "Banana", "Banana", "Carrot", "Carrot", "Apple", "Banana") factored_vector = factor(str_vector) factored_vector ## [1] Apple Apple Banana Banana Banana Carrot Carrot Apple Banana ## Levels: Apple Banana Carrot as.numeric(factored_vector) ## [1] 1 1 2 2 2 3 3 1 2 The double nature of factors can cause some unintuitive behaviour. E.g. joining two factors together will convert them to the numeric form and the original strings will be lost. c(factored_vector, factored_vector) ## [1] 1 1 2 2 2 3 3 1 2 1 1 2 2 2 3 3 1 2 Likewise if due to formatting issues numeric data is mistakenly interpretted as strings, then you must convert the factor back to strings before coercing to numeric values: x = c("20", "25", "23", "38", "20", "40", "25", "30") x = factor(x) as.numeric(x) ## [1] 1 3 2 5 1 6 3 4 as.numeric(as.character(x)) ## [1] 20 25 23 38 20 40 25 30 To make R read text as character data instead of factors set the environment option stringsAsFactors=FALSE. This must be done at the start of each R session. options(stringsAsFactors=FALSE) Exercise How would you use factors to create a vector of colours for an arbitrarily long vector of fruits like str_vector above? Answer 3.3.5 Checking class/type We recommend checking your data is of the correct class after reading from files: x = 1.4 is.numeric(x) ## [1] TRUE is.character(x) ## [1] FALSE is.logical(x) ## [1] FALSE is.factor(x) ## [1] FALSE 3.4 Basic data structures So far we have only looked at single values and vectors. Vectors are the simplest data structure in R. They are a 1-dimensional array of data all of the same type. If the input when creating a vector is of different types it will be coerced to the data-type that is most consistent with the data. x = c("Hello", 5, TRUE) x ## [1] "Hello" "5" "TRUE" class(x) ## [1] "character" Here we tried to put character, numeric and logical data into a single vector so all the values were coerced to character data. A matrix is the two dimensional version of a vector, it also requires all data to be of the same type. If we combine a character vector and a numeric vector into a matrix, all the data will be coerced to characters: x = c("A", "B", "C") y = c(1, 2, 3) class(x) ## [1] "character" class(y) ## [1] "numeric" m = cbind(x, y) m ## x y ## [1,] "A" "1" ## [2,] "B" "2" ## [3,] "C" "3" The quotation marks indicate that the numeric vector has been coerced to characters. Alternatively, to store data with columns of different data-types we can use a dataframe. z = data.frame(x, y) z ## x y ## 1 A 1 ## 2 B 2 ## 3 C 3 class(z[,1]) ## [1] "character" class(z[,2]) ## [1] "numeric" If you have set stringsAsFactors=FALSE as above you will find the first column remains characters, otherwise it will be automatically converted to a factor. options(stringsAsFactors=TRUE) z = data.frame(x, y) class(z[,1]) ## [1] "factor" Another difference between matrices and dataframes is the ability to select columns using the $ operator: m$x # throws an error z$x # ok The final basic data structure is the list. Lists allow data of different types and different lengths to be stored in a single object. Each element of a list can be any other R object : data of any type, any data structure, even other lists or functions. l = list(m, z) ll = list(sublist=l, a_matrix=m, numeric_value=42, this_string="Hello World", even_a_function=cbind) ll ## $sublist ## $sublist[[1]] ## x y ## [1,] "A" "1" ## [2,] "B" "2" ## [3,] "C" "3" ## ## $sublist[[2]] ## x y ## 1 A 1 ## 2 B 2 ## 3 C 3 ## ## ## $a_matrix ## x y ## [1,] "A" "1" ## [2,] "B" "2" ## [3,] "C" "3" ## ## $numeric_value ## [1] 42 ## ## $this_string ## [1] "Hello World" ## ## $even_a_function ## function (..., deparse.level = 1) ## .Internal(cbind(deparse.level, ...)) ## <bytecode: 0x5600bf7f70f8> ## <environment: namespace:base> Lists are most commonly used when returning a large number of results from a function that do not fit into any of the previous data structures. 3.5 Accessing documentation and help files You can get more information about any R commands relevant to these datatypes using by typing ?function in an interactive session. 3.6 Data Types 3.6.1 What is Tidy Data? Tidy data is a concept largely defined by Hadley Wickham (Wickham 2014). Tidy data has the following three characteristics: Each variable has its own column. Each observation has its own row. Each value has its own cell. Here is an example of some tidy data: ## Students Subject Years Score ## 1 Mark Maths 1 5 ## 2 Jane Biology 2 6 ## 3 Mohammed Physics 3 4 ## 4 Tom Maths 2 7 ## 5 Celia Computing 3 9 Here is an example of some untidy data: ## Students Sport Category Counts ## 1 Matt Tennis Wins 0 ## 2 Matt Tennis Losses 1 ## 3 Ellie Rugby Wins 3 ## 4 Ellie Rugby Losses 2 ## 5 Tim Football Wins 1 ## 6 Tim Football Losses 4 ## 7 Louise Swimming Wins 2 ## 8 Louise Swimming Losses 2 ## 9 Kelly Running Wins 5 ## 10 Kelly Running Losses 1 Task 1: In what ways is the untidy data not tidy? How could we make the untidy data tidy? Tidy data is generally easier to work with than untidy data, especially if you are working with packages such as ggplot. Fortunately, packages are available to make untidy data tidy. Today we will explore a few of the functions available in the tidyr package which can be used to make untidy data tidy. If you are interested in finding out more about tidying data, we recommend reading “R for Data Scienceâ€, by Garrett Grolemund and Hadley Wickham. An electronic copy is available here: http://r4ds.had.co.nz/ The untidy data above is untidy because two variables (Wins and Losses) are stored in one column (Category). This is a common way in which data can be untidy. To tidy this data, we need to make Wins and Losses into columns, and store the values in Counts in these columns. Fortunately, there is a function from the tidyverse packages to perform this operation. The function is called spread, and it takes two arguments, key and value. You should pass the name of the column which contains multiple variables to key, and pass the name of the column which contains values from multiple variables to value. For example: library(tidyverse) sports<-data.frame(Students=c("Matt", "Matt", "Ellie", "Ellie", "Tim", "Tim", "Louise", "Louise", "Kelly", "Kelly"), Sport=c("Tennis","Tennis", "Rugby", "Rugby","Football", "Football","Swimming","Swimming", "Running", "Running"), Category=c("Wins", "Losses", "Wins", "Losses", "Wins", "Losses", "Wins", "Losses", "Wins", "Losses"), Counts=c(0,1,3,2,1,4,2,2,5,1)) sports ## Students Sport Category Counts ## 1 Matt Tennis Wins 0 ## 2 Matt Tennis Losses 1 ## 3 Ellie Rugby Wins 3 ## 4 Ellie Rugby Losses 2 ## 5 Tim Football Wins 1 ## 6 Tim Football Losses 4 ## 7 Louise Swimming Wins 2 ## 8 Louise Swimming Losses 2 ## 9 Kelly Running Wins 5 ## 10 Kelly Running Losses 1 spread(sports, key=Category, value=Counts) ## Students Sport Losses Wins ## 1 Ellie Rugby 2 3 ## 2 Kelly Running 1 5 ## 3 Louise Swimming 2 2 ## 4 Matt Tennis 1 0 ## 5 Tim Football 4 1 Task 2: The dataframe foods defined below is untidy. Work out why and use spread() to tidy it foods<-data.frame(student=c("Antoinette","Antoinette","Taylor", "Taylor", "Alexa", "Alexa"), Category=c("Dinner", "Dessert", "Dinner", "Dessert", "Dinner","Dessert"), Frequency=c(3,1,4,5,2,1)) The other common way in which data can be untidy is if the columns are values instead of variables. For example, the dataframe below shows the percentages some students got in tests they did in May and June. The data is untidy because the columns May and June are values, not variables. percentages<-data.frame(student=c("Alejandro", "Pietro", "Jane"), "May"=c(90,12,45), "June"=c(80,30,100)) Fortunately, there is a function in the tidyverse packages to deal with this problem too. gather() takes the names of the columns which are values, the key and the value as arguments. This time, the key is the name of the variable with values as column names, and the value is the name of the variable with values spread over multiple columns. Ie: gather(percentages, "May", "June", key="Month", value = "Percentage") ## student Month Percentage ## 1 Alejandro May 90 ## 2 Pietro May 12 ## 3 Jane May 45 ## 4 Alejandro June 80 ## 5 Pietro June 30 ## 6 Jane June 100 These examples don’t have much to do with single-cell RNA-seq analysis, but are designed to help illustrate the features of tidy and untidy data. You will find it much easier to analyse your single-cell RNA-seq data if your data is stored in a tidy format. Fortunately, the data structures we commonly use to facilitate single-cell RNA-seq analysis usually encourage store your data in a tidy manner. 3.6.2 What is Rich Data? If you google ‘rich data’, you will find lots of different definitions for this term. In this course, we will use ‘rich data’ to mean data which is generated by combining information from multiple sources. For example, you could make rich data by creating an object in R which contains a matrix of gene expression values across the cells in your single-cell RNA-seq experiment, but also information about how the experiment was performed. Objects of the SingleCellExperiment class, which we will discuss below, are an example of rich data. Typically, Bioconductor packages make use of rich data objects that have many advantages for package developers and users alike. 3.7 What is Bioconductor? From Wikipedia: Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by wet lab experiments in molecular biology. Bioconductor is based primarily on the statistical R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. At any one time there is a release version,which corresponds to the released version of R, and a development version, which corresponds to the development version of R. Most users will find the release version appropriate for their needs. We strongly recommend all new comers and even experienced high-throughput data analysts to use well developed and maintained Bioconductor methods and classes. 3.8 SingleCellExperiment class SingleCellExperiment (SCE) is a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries. In practice, an object of this class can be created using its constructor: library(SingleCellExperiment) counts <- matrix(rpois(100, lambda = 10), ncol=10, nrow=10) rownames(counts) <- paste("gene", 1:10, sep = "") colnames(counts) <- paste("cell", 1:10, sep = "") sce <- SingleCellExperiment( assays = list(counts = counts), rowData = data.frame(gene_names = paste("gene_name", 1:10, sep = "")), colData = data.frame(cell_names = paste("cell_name", 1:10, sep = "")) ) sce ## class: SingleCellExperiment ## dim: 10 10 ## metadata(0): ## assays(1): counts ## rownames(10): gene1 gene2 ... gene9 gene10 ## rowData names(1): gene_names ## colnames(10): cell1 cell2 ... cell9 cell10 ## colData names(1): cell_names ## reducedDimNames(0): ## spikeNames(0): In the SingleCellExperiment, users can assign arbitrary names to entries of assays. To assist interoperability between packages, some suggestions for what the names should be for particular types of data are provided by the authors: counts: Raw count data, e.g., number of reads or transcripts for a particular gene. normcounts: Normalized values on the same scale as the original counts. For example, counts divided by cell-specific size factors that are centred at unity. logcounts: Log-transformed counts or count-like values. In most cases, this will be defined as log-transformed normcounts, e.g., using log base 2 and a pseudo-count of 1. cpm: Counts-per-million. This is the read count for each gene in each cell, divided by the library size of each cell in millions. tpm: Transcripts-per-million. This is the number of transcripts for each gene in each cell, divided by the total number of transcripts in that cell (in millions). Each of these suggested names has an appropriate getter/setter method for convenient manipulation of the SingleCellExperiment. For example, we can take the (very specifically named) counts slot, normalise it and assign it to normcounts instead: normcounts(sce) <- log2(counts(sce) + 1) sce ## class: SingleCellExperiment ## dim: 10 10 ## metadata(0): ## assays(2): counts normcounts ## rownames(10): gene1 gene2 ... gene9 gene10 ## rowData names(1): gene_names ## colnames(10): cell1 cell2 ... cell9 cell10 ## colData names(1): cell_names ## reducedDimNames(0): ## spikeNames(0): dim(normcounts(sce)) ## [1] 10 10 head(normcounts(sce)) ## cell1 cell2 cell3 cell4 cell5 cell6 cell7 ## gene1 3.169925 3.169925 2.000000 2.584963 2.584963 3.321928 3.584963 ## gene2 3.459432 1.584963 3.584963 3.807355 3.700440 3.700440 3.000000 ## gene3 3.000000 3.169925 3.807355 3.169925 3.321928 3.321928 3.321928 ## gene4 3.584963 3.459432 3.000000 3.807355 3.700440 3.700440 3.700440 ## gene5 3.906891 3.000000 3.169925 3.321928 3.584963 3.459432 3.807355 ## gene6 3.700440 3.700440 3.584963 4.000000 3.169925 3.000000 3.459432 ## cell8 cell9 cell10 ## gene1 3.321928 3.807355 2.807355 ## gene2 3.807355 3.700440 4.000000 ## gene3 2.584963 4.000000 3.700440 ## gene4 3.169925 3.584963 3.700440 ## gene5 3.807355 2.584963 3.584963 ## gene6 3.321928 3.459432 4.000000 3.9 scater package scater is a R package for single-cell RNA-seq analysis (McCarthy et al. 2017). The package contains several useful methods for quality control, visualisation and pre-processing of data prior to further downstream analysis. scater features the following functionality: Automated computation of QC metrics Transcript quantification from read data with pseudo-alignment Data format standardisation Rich visualizations for exploratory analysis Seamless integration into the Bioconductor universe Simple normalisation methods We highly recommend to use scater for all single-cell RNA-seq analyses and scater is the basis of the first part of the course. As illustrated in the figure below, scater will help you with quality control, filtering and normalization of your expression matrix following mapping and alignment. Keep in mind that this figure represents the original version of scater where an SCESet class was used. In the newest version this figure is still correct, except that SCESet can be substituted with the SingleCellExperiment class. 3.10 Introduction to ggplot2 3.10.1 What is ggplot2? ggplot2 is an R package designed by Hadley Wickham which facilitates data plotting. In this lab, we will touch briefly on some of the features of the package. If you would like to learn more about how to use ggplot2, we would recommend reading “ggplot2 Elegant graphics for data analysisâ€, by Hadley Wickham. 3.10.2 Principles of ggplot2 Your data must be a dataframe if you want to plot it using ggplot2. Use the aes mapping function to specify how variables in the dataframe map to features on your plot Use geoms to specify how your data should be represented on your graph eg. as a scatterplot, a barplot, a boxplot etc. 3.10.3 Using the aes mapping function The aes function specifies how variables in your dataframe map to features on your plot. To understand how this works, let’s look at an example: library(ggplot2) library(tidyverse) set.seed(1) counts <- as.data.frame(matrix(rpois(100, lambda = 10), ncol=10, nrow=10)) Gene_ids <- paste("gene", 1:10, sep = "") colnames(counts) <- paste("cell", 1:10, sep = "") counts<-data.frame(Gene_ids, counts) counts ## Gene_ids cell1 cell2 cell3 cell4 cell5 cell6 cell7 cell8 cell9 cell10 ## 1 gene1 8 8 3 5 5 9 11 9 13 6 ## 2 gene2 10 2 11 13 12 12 7 13 12 15 ## 3 gene3 7 8 13 8 9 9 9 5 15 12 ## 4 gene4 11 10 7 13 12 12 12 8 11 12 ## 5 gene5 14 7 8 9 11 10 13 13 5 11 ## 6 gene6 12 12 11 15 8 7 10 9 10 15 ## 7 gene7 11 11 14 11 11 5 9 13 13 7 ## 8 gene8 9 12 9 8 6 14 7 12 12 10 ## 9 gene9 14 12 11 7 10 10 8 14 7 10 ## 10 gene10 11 10 9 7 11 16 8 7 7 4 ggplot(data = counts, mapping = aes(x = cell1, y = cell2)) Let’s take a closer look at the final command, ggplot(data = counts, mapping = aes(x = cell1, y = cell2)). ggplot() initialises a ggplot object and takes the arguments data and mapping. We pass our dataframe of counts to data and use the aes() function to specify that we would like to use the variable cell1 as our x variable and the variable cell2 as our y variable. Task 1: Modify the command above to initialise a ggplot object where cell10 is the x variable and cell8 is the y variable. Clearly, the plots we have just created are not very informative because no data is displayed on them. To display data, we will need to use geoms. 3.10.4 Geoms We can use geoms to specify how we would like data to be displayed on our graphs. For example, our choice of geom could specify that we would like our data to be displayed as a scatterplot, a barplot or a boxplot. Let’s see how our graph would look as a scatterplot. ggplot(data = counts, mapping = aes(x = cell1, y = cell2)) + geom_point() Now we can see that there doesn’t seem to be any correlation between gene expression in cell1 and cell2. Given we generated counts randomly, this isn’t too surprising. Task 2: Modify the command above to create a line plot. Hint: execute ?ggplot and scroll down the help page. At the bottom is a link to the ggplot package index. Scroll through the index until you find the geom options. 3.10.5 Plotting data from more than 2 cells So far we’ve been considering the gene counts from 2 of the cells in our dataframe. But there are actually 10 cells in our dataframe and it would be nice to compare all of them. What if we wanted to plot data from all 10 cells at the same time? At the moment we can’t do this because we are treating each individual cell as a variable and assigning that variable to either the x or the y axis. We could create a 10 dimensional graph to plot data from all 10 cells on, but this is a) not possible to do with ggplot and b) not very easy to interpret. What we could do instead is to tidy our data so that we had one variable representing cell ID and another variable representing gene counts, and plot those against each other. In code, this would look like: counts<-gather(counts, colnames(counts)[2:11], key = 'Cell_ID', value='Counts') head(counts) ## Gene_ids Cell_ID Counts ## 1 gene1 cell1 8 ## 2 gene2 cell1 10 ## 3 gene3 cell1 7 ## 4 gene4 cell1 11 ## 5 gene5 cell1 14 ## 6 gene6 cell1 12 Essentially, the problem before was that our data was not tidy because one variable (Cell_ID) was spread over multiple columns. Now that we’ve fixed this problem, it is much easier for us to plot data from all 10 cells on one graph. ggplot(counts,aes(x=Cell_ID, y=Counts)) + geom_boxplot() Task 3: Use the updated counts dataframe to plot a barplot with Cell_ID as the x variable and Counts as the y variable. Hint: you may find it helpful to read ?geom_bar. Task 4: Use the updated counts dataframe to plot a scatterplot with Gene_ids as the x variable and Counts as the y variable. 3.10.6 Plotting heatmaps A common method for visualising gene expression data is with a heatmap. Here we will use the R package pheatmap to perform this analysis with some gene expression data we will name test. library(pheatmap) set.seed(2) test = matrix(rnorm(200), 20, 10) test[1:10, seq(1, 10, 2)] = test[1:10, seq(1, 10, 2)] + 3 test[11:20, seq(2, 10, 2)] = test[11:20, seq(2, 10, 2)] + 2 test[15:20, seq(2, 10, 2)] = test[15:20, seq(2, 10, 2)] + 4 colnames(test) = paste("Cell", 1:10, sep = "") rownames(test) = paste("Gene", 1:20, sep = "") pheatmap(test) Let’s take a moment to work out what this graphic is showing us. Each row represents a gene and each column represents a cell. How highly expressed each gene is in each cell is represented by the colour of the corresponding box. For example, we can tell from this plot that gene18 is highly expressed in cell10 but lowly expressed in cell1. This plot also gives us information on the results of a clustering algorithm. In general, clustering algorithms aim to split datapoints (eg.cells) into groups whose members are more alike one another than they are alike the rest of the datapoints. The trees drawn on the top and left hand sides of the graph are the results of clustering algorithms and enable us to see, for example, that cells 4,8,2,6 and 10 are more alike one another than they are alike cells 7,3,5,1 and 9. The tree on the left hand side of the graph represents the results of a clustering algorithm applied to the genes in our dataset. If we look closely at the trees, we can see that eventually they have the same number of branches as there are cells and genes. In other words, the total number of cell clusters is the same as the total number of cells, and the total number of gene clusters is the same as the total number of genes. Clearly, this is not very informative, and will become impractical when we are looking at more than 10 cells and 20 genes. Fortunately, we can set the number of clusters we see on the plot. Let’s try setting the number of gene clusters to 2: pheatmap(test, kmeans_k = 2) Now we can see that the genes fall into two clusters - a cluster of 8 genes which are upregulated in cells 2, 10, 6, 4 and 8 relative to the other cells and a cluster of 12 genes which are downregulated in cells 2, 10, 6, 4 and 8 relative to the other cells. Task 5: Try setting the number of clusters to 3. Which number of clusters do you think is more informative? 3.10.7 Principal Component Analysis Principal component analysis (PCA) is a statistical procedure that uses a transformation to convert a set of observations into a set of values of linearly uncorrelated variables called principal components. The transformation is carried out so that the first principle component accounts for as much of the variability in the data as possible, and each following principle component accounts for the greatest amount of variance possible under the contraint that it must be orthogonal to the previous components. PCA plots are a good way to get an overview of your data, and can sometimes help identify confounders which explain a high amount of the variability in your data. We will investigate how we can use PCA plots in single-cell RNA-seq analysis in more depth in a future lab, here the aim is to give you an overview of what PCA plots are and how they are generated. Let’s make a PCA plot for our test data. We can use the ggfortify package to let ggplot know how to interpret principle components. library(ggfortify) Principal_Components<-prcomp(test) autoplot(Principal_Components, label=TRUE) Task 6: Compare your clusters to the pheatmap clusters. Are they related? (Hint: have a look at the gene tree for the first pheatmap we plotted) Task 7: Produce a heatmap and PCA plot for counts (below): set.seed(1) counts <- as.data.frame(matrix(rpois(100, lambda = 10), ncol=10, nrow=10)) rownames(counts) <- paste("gene", 1:10, sep = "") colnames(counts) <- paste("cell", 1:10, sep = "") References "],
+["index.html", "Analysis of single cell RNA-seq data 1 About the course 1.1 Web page 1.2 GitLab 1.3 Video 1.4 Docker image 1.5 Manual installation 1.6 Citation 1.7 License 1.8 Prerequisites 1.9 Contact", " Analysis of single cell RNA-seq data Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc) 2019-10-02 1 About the course Today it is possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). The cellular resolution and the genome-wide scope of scRNA-seq makes it possible to address issues that are intractable using other methods like bulk RNA-seq or single-cell RT-qPCR. However, scRNA-seq data poses many challenges due to the scale and complexity of scRNA-seq datasets, with novel methods often required to account for the particular characteristics of the data. In this course we will discuss some of the questions that can be addressed using scRNA-seq as well as the available computational and statistical methods. We will cover key features of the technology platforms and fundamental principles of scRNA-seq data analysis that are transferable across technologies and analysis workflows. The number of computational tools is already vast and increasing rapidly, so we provide hands-on workflows using some of our favourite tools on carefully selected, biologically-relevant example datasets. Across two days, attendees can expect to gain an understanding of approaches to and practical analysis experience on: quality control, data normalisation, visualisation, clustering, trajectory (pseudotime) inference, differential expression, batch correction and data integration. Course outline: Day 1: Morning session 1: Workshop overview; introduction to scRNA-seq; pre-processing scRNA-seq data Morning session 2: Quality control, visualisation and exploratory data analysis Afternoon session 1: Normalisation, confounders and batch correction Afternoon session 2: Latent spaces, clustering and cell annotation Day 2: Morning session 1: Trajectory inference Morning session 2: Differential expression; data imputation Afternoon session 1: Combining datasets and data integration Afternoon session 2: Case studies This course has been adapted from a course taught through the University of Cambridge Bioinformatics training unit, but the material is meant for anyone interested in learning about computational analysis of scRNA-seq data and is updated roughly twice per year. The number of computational tools is increasing rapidly and we are doing our best to keep up to date with what is available. One of the main constraints for this course is that we would like to use tools that are implemented in R and that run reasonably fast. Moreover, we will also confess to being somewhat biased towards methods that have been developed either by us or by our friends and colleagues. 1.1 Web page The html version of the workshop material is available at the following link: https://biocellgen-public.svi.edu.au/mig_2019_scrnaseq-workshop/public/index.html 1.2 GitLab The source code and materials for the course are available at the SVI Bioinformatics and Cellular Genomics Lab’s GitLab: https://gitlab.svi.edu.au/biocellgen-public/mig_2019_scrnaseq-workshop 1.3 Video This video was recorded during the course (2 days) in May 2019 in Cambridge, UK. This recorded version of the course differs slightly from the version in this document. 1.3.1 Day 1 1.3.2 Day 2 1.4 Docker image The course can be reproduced without any package installation by running the course docker image which contains all the required packages. Workshop Docker Repository on DockerHub 1.4.1 Run the image Make sure Docker is installed on your system. If not, please follow these instructions. To run the course docker image (use the latest version): docker run -p 8888:8888 -e PASSWORD="jupyter" svibiocellgen/mig_2019_scrnaseq-workshop:v1.01 Then follow the instructions provided, e.g.: To access the notebook, open this file in a browser: file:///home/jovyan/.local/share/jupyter/runtime/nbserver-6-open.html Or copy and paste one of these URLs: http://(a9ee1aad5398 or 127.0.0.1):8888/?token=22debff49d9aae3c50e6b0b5241b47eefb1b8f883fcb7e6d A Jupyter session will be open in a web browser (we recommend Chrome). 1.4.1.1 Windows users On Windows operating system the IP address of the container can be different from 127.0.0.1 (localhost). To find the IP address please run: docker-machine ip default 1.4.2 Download data/other files 1.4.2.1 Download from AWS (within Docker) Recommended if you are using Docker In the Jupyter session, please click on New -> Terminal. In the new terminal window please run: ./poststart.sh 1.4.2.2 Manual download from AWS If you want to download data files from AWS outside of Docker image you can still use the same poststart.sh script but you will need to install AWS CLI on your computer. Alternatively, you can browse and download the files in you web-browser by visiting this link. NB: Only the core datasets (i.e. not Tabula Muris) are available from AWS storage. 1.4.2.3 Manual download from SVI Recommended if you are using your own computer For simplicity, we have also hosted the core datasets used in the course and a subset of the Tabula Muris data on SVI websites. There are two files to download, both “tarballsâ€, i.e. compressed archives of multiple folders and files. 1.4.2.3.1 Core datasets To download the core datasets, click this link (195Mb). It is most convenient to download the tarball to the head directory for the course. We then want to unpack the tarball and move it to a directory called data in the head directory of the repository. To do this at the command line: wget https://www.svi.edu.au/MIG_2019_scRNAseq-workshop/mig-sc-workshop-2019-data.tar.gz mkdir workshop-data tar -xvf mig-sc-workshop-2019-data.tar.gz --directory workshop-data mv workshop-data/mnt/mcfiles/Datasets/MIG_2019_scRNAseq-workshop/data ./ rm -r workshop-data [This requires a little bit of faff to get all of the directory paths correct and then tidy updated.] Alternatively, if you are working on your laptop, unpack the tarball using the default method on your system (usually a double click on the *.tar.gz file will do the trick) and drag and drop the data folder to the workshop directory. 1.4.2.3.2 Tabula Muris To download the Tabula Muris data, clink this link (655Mb). We then go through a similar process as described above to unpack the tarball. wget https://www.svi.edu.au/MIG_2019_scRNAseq-workshop/Tabula_Muris.tar.gz tar -xvf Tabula_Muris.tar.gz mv mnt/mcfiles/Datasets/Tabula_Muris data rm -r mnt 1.4.2.3.3 Desired results The data folder then should contain both the core datasets and the Tabula Muris data, and have the following structure: data ├── 10cells_barcodes.txt ├── 2000_reference.transcripts.fa ├── deng │  └── deng-reads.rds ├── droplet_id_example_per_barcode.txt.gz ├── droplet_id_example_truth.gz ├── EXAMPLE.cram ├── pancreas │  ├── muraro.rds │  └── segerstolpe.rds ├── pbmc3k_filtered_gene_bc_matrices │  └── hg19 │  ├── barcodes.tsv │  ├── genes.tsv │  └── matrix.mtx ├── sce │  ├── Heart_10X.rds │  └── Thymus_10X.rds ├── Tabula_Muris │  ├── droplet │  │  ├── droplet │  │  ├── droplet_annotation.csv │  │  └── droplet_metadata.csv │  └── FACS_smartseq2 │  ├── FACS │  ├── FACS_annotations.csv │  └── FACS_metadata.csv └── tung ├── annotation.txt ├── molecules.txt ├── reads.txt ├── TNs.txt └── TPs.txt 11 directories, 22 files With the files in these locations, everything is set up to run the code as presented in the RMarkdown files in the workshop. 1.4.3 RStudio Now go back to Jupyter browser tab and change word tree in the url to rstudio. RStudio server will open with all of the course files, software and the data folder available. 1.5 Manual installation If you are not using a docker image of the course, then to be able to run all code chunks of the course you need to clone or download the course GitHub repository and start an R session in the course_files folder. You will also need to install all required packages manually. We are using Bioconductor version 3.9 packages in this version of the course. The install.R file in the workshop repository provides the necessary commands for installing all of the required packages. You can run this script from the command line with Rscript install.R or copy-and-paste the commands into an R session and run them interactively. Alternatively, you can just install packages listed in a chapter of interest. 1.6 Citation This version of the workshop has been updated by Davis J. McCarthy, Ruqian Lyu and PuXue Qiao, based on the 2019-07-01 version of the course: Ruqian Lyu, PuXue Qiao, Vladimir Kiselev, Tallulah Andrews, Jennifer Westoby, Maren Büttner, Jimmy Lee, Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez, Martin Hemberg and Davis J. McCarthy, (2019), “Analysis of single cell RNA-seq dataâ€, https://scrnaseq-course.cog.sanger.ac.uk/website/index.html 1.7 License All of the course material is licensed under GPL-3. Anyone is welcome to go through the material in order to learn about analysis of scRNA-seq data. If you plan to use the material for your own teaching, we would appreciate if you tell us about it in addition to providing a suitable citation. 1.8 Prerequisites The course is intended for those who have basic familiarity with Unix and the R statistical language. We will also assume that you are familiar with mapping and analysing bulk RNA-seq data as well as with the commonly available computational tools. We recommend attending the Introduction to RNA-seq and ChIP-seq data analysis or the Analysis of high-throughput sequencing data with Bioconductor before attending this course. 1.9 Contact If you have any comments, questions or suggestions about the material, please contact Davis McCarthy. "],
+["introduction-to-single-cell-rna-seq.html", "2 Introduction to single-cell RNA-seq 2.1 Bulk RNA-seq 2.2 scRNA-seq 2.3 Workflow 2.4 Computational Analysis 2.5 Challenges 2.6 Experimental methods 2.7 What platform to use for my experiment? 2.8 Unique Molecular Identifiers (UMIs)", " 2 Introduction to single-cell RNA-seq 2.1 Bulk RNA-seq A major breakthrough (replaced microarrays) in the late 00’s and has been widely used since Measures the average expression level for each gene across a large population of input cells Useful for comparative transcriptomics, e.g. samples of the same tissue from different species Useful for quantifying expression signatures from ensembles, e.g. in disease studies Insufficient for studying heterogeneous systems, e.g. early development studies, complex tissues (brain) Does not provide insights into the stochastic nature of gene expression 2.2 scRNA-seq A new technology, first publication by (Tang et al. 2009) Did not gain widespread popularity until ~2014 when new protocols and lower sequencing costs made it more accessible Measures the distribution of expression levels for each gene across a population of cells Allows to study new biological questions in which cell-specific changes in transcriptome are important, e.g. cell type identification, heterogeneity of cell responses, stochasticity of gene expression, inference of gene regulatory networks across the cells. Datasets range from \\(10^2\\) to \\(10^6\\) cells and increase in size every year Currently there are several different protocols in use, e.g. SMART-seq2 (Picelli et al. 2013), CELL-seq (Hashimshony et al. 2012) and Drop-seq (Macosko et al. 2015) There are also commercial platforms available, including the Fluidigm C1, Wafergen ICELL8 and the 10X Genomics Chromium Several computational analysis methods from bulk RNA-seq can be used In most cases computational analysis requires adaptation of the existing methods or development of new ones 2.3 Workflow Figure 2.1: Single cell sequencing (taken from Wikipedia) Overall, experimental scRNA-seq protocols are similar to the methods used for bulk RNA-seq. We will be discussing some of the most common approaches in the next chapter. 2.4 Computational Analysis This course is concerned with the computational analysis of the data obtained from scRNA-seq experiments. The first steps (yellow) are general for any highthroughput sequencing data. Later steps (orange) require a mix of existing RNASeq analysis methods and novel methods to address the technical difference of scRNASeq. Finally the biological interpretation (blue) should be analyzed with methods specifically developed for scRNASeq. Figure 2.2: Flowchart of the scRNA-seq analysis There are several reviews of the scRNA-seq analysis available including (Stegle, Teichmann, and Marioni 2015). Today, there are also several different platforms available for carrying out one or more steps in the flowchart above. These include: Falco a single-cell RNA-seq processing framework on the cloud. SCONE (Single-Cell Overview of Normalized Expression), a package for single-cell RNA-seq data quality control and normalization. Seurat is an R package designed for QC, analysis, and exploration of single cell RNA-seq data. ASAP (Automated Single-cell Analysis Pipeline) is an interactive web-based platform for single-cell analysis. Bioconductor is a open-source, open-development software project for the analysis of high-throughput genomics data, including packages for the analysis of single-cell data. 2.5 Challenges The main difference between bulk and single cell RNA-seq is that each sequencing library represents a single cell, instead of a population of cells. Therefore, significant attention has to be paid to comparison of the results from different cells (sequencing libraries). The main sources of discrepancy between the libraries are: Reverse transcription to convert RNA to cDNA is at best <30% efficient Amplification (up to 1 million fold) Gene ‘dropouts’ in which a gene is observed at a moderate expression level in one cell but is not detected in another cell (Kharchenko, Silberstein, and Scadden 2014); this can be due to technical factors (e.g. inefficient RT) or true biological variability across cells. These discrepancies are introduced due to low starting amounts of transcripts since the RNA comes from one cell only. Improving the transcript capture efficiency and reducing the amplification bias are currently active areas of research. However, as we shall see in this course, it is possible to alleviate some of these issues through proper normalization and corrections and effective statistical models. For the analyst, the characteristics of single-cell RNA-seq data lead to challenges in handling: Sparsity Variability Scalability Complexity In this workshop we will present computational approaches that can allow us to face these challenges as we try to answer biological questions of interest from single-cell transcriptomic data. 2.6 Experimental methods Figure 2.3: Moore’s law in single cell transcriptomics (image taken from Svensson et al) Development of new methods and protocols for scRNA-seq is currently a very active area of research, and several protocols have been published over the last few years. A non-comprehensive list includes: CEL-seq (Hashimshony et al. 2012) CEL-seq2 (Hashimshony et al. 2016) Drop-seq (Macosko et al. 2015) InDrop-seq (Klein et al. 2015) MARS-seq (Jaitin et al. 2014) SCRB-seq (Soumillon et al. 2014) Seq-well (Gierahn et al. 2017) Smart-seq (Picelli et al. 2014) Smart-seq2 (Picelli et al. 2014) SMARTer STRT-seq (Islam et al. 2013) The methods can be categorized in different ways, but the two most important aspects are quantification and capture. For quantification, there are two types, full-length and tag-based. The former tries to achieve a uniform read coverage of each transcript. By contrast, tag-based protocols only capture either the 5’- or 3’-end of each RNA. The choice of quantification method has important implications for what types of analyses the data can be used for. In theory, full-length protocols should provide an even coverage of transcripts, but as we shall see, there are often biases in the coverage. The main advantage of tag-based protocol is that they can be combined with unique molecular identifiers (UMIs) which can help improve the quantification (see chapter 2.8). On the other hand, being restricted to one end of the transcript may reduce the mappability and it also makes it harder to distinguish different isoforms (Archer et al. 2016). The strategy used for capture determines throughput, how the cells can be selected as well as what kind of additional information besides the sequencing that can be obtained. The three most widely used options are microwell-, microfluidic- and droplet- based. Figure 2.4: Image of microwell plates (image taken from Wikipedia) For well-based platforms, cells are isolated using for example pipette or laser capture and placed in microfluidic wells. One advantage of well-based methods is that they can be combined with fluorescent activated cell sorting (FACS), making it possible to select cells based on surface markers. This strategy is thus very useful for situations when one wants to isolate a specific subset of cells for sequencing. Another advantage is that one can take pictures of the cells. The image provides an additional modality and a particularly useful application is to identify wells containg damaged cells or doublets. The main drawback of these methods is that they are often low-throughput and the amount of work required per cell may be considerable. Figure 2.5: Image of a 96-well Fluidigm C1 chip (image taken from Fluidigm) Microfluidic platforms, such as Fluidigm’s C1, provide a more integrated system for capturing cells and for carrying out the reactions necessary for the library preparations. Thus, they provide a higher throughput than microwell based platforms. Typically, only around 10% of cells are captured in a microfluidic platform and thus they are not appropriate if one is dealing with rare cell-types or very small amounts of input. Moreover, the chip is relatively expensive, but since reactions can be carried out in a smaller volume money can be saved on reagents. Figure 2.6: Schematic overview of the drop-seq method (Image taken from Macosko et al) The idea behind droplet based methods is to encapsulate each individual cell inside a nanoliter droplet together with a bead. The bead is loaded with the enzymes required to construct the library. In particular, each bead contains a unique barcode which is attached to all of the reads originating from that cell. Thus, all of the droplets can be pooled, sequenced together and the reads can subsequently be assigned to the cell of origin based on the barcodes. Droplet platforms typically have the highest throughput since the library preparation costs are on the order of \\(.05\\) USD/cell. Instead, sequencing costs often become the limiting factor and a typical experiment the coverage is low with only a few thousand different transcripts detected (Ziegenhain et al. 2017). 2.7 What platform to use for my experiment? The most suitable platform depends on the biological question at hand. For example, if one is interested in characterizing the composition of a tissue, then a droplet-based method which will allow a very large number of cells to be captured is likely to be the most appropriate. On the other hand, if one is interesting in characterizing a rare cell-population for which there is a known surface marker, then it is probably best to enrich using FACS and then sequence a smaller number of cells. Clearly, full-length transcript quantification will be more appropriate if one is interested in studying different isoforms since tagged protocols are much more limited. By contrast, UMIs can only be used with tagged protocols and they can facilitate gene-level quantification. Two recent studies from the Enard group (Ziegenhain et al. 2017) and the Teichmann group (Svensson et al. 2017) have compared several different protocols. In their study, Ziegenhain et al compared five different protocols on the same sample of mouse embryonic stem cells (mESCs). By controlling for the number of cells as well as the sequencing depth, the authors were able to directly compare the sensitivity, noise-levels and costs of the different protocols. One example of their conclusions is illustrated in the figure below which shows the number of genes detected (for a given detection threshold) for the different methods. As you can see, there is almost a two-fold difference between drop-seq and Smart-seq2, suggesting that the choice of protocol can have a major impact on the study Figure 2.7: Enard group study Svensson et al take a different approach by using synthetic transcripts (spike-ins, more about these later) with known concentrations to measure the accuracy and sensitivity of different protocols. Comparing a wide range of studies, they also reported substantial differences between the protocols. Figure 2.8: Teichmann group study As protocols are developed and computational methods for quantifying the technical noise are improved, it is likely that future studies will help us gain further insights regarding the strengths of the different methods. These comparative studies are helpful not only for helping researchers decide which protocol to use, but also for developing new methods as the benchmarking makes it possible to determine what strategies are the most useful ones. 2.8 Unique Molecular Identifiers (UMIs) Thanks to Andreas Buness from EMBL Monterotondo for collaboration on this section. 2.8.1 Introduction Unique Molecular Identifiers are short (4-10bp) random barcodes added to transcripts during reverse-transcription. They enable sequencing reads to be assigned to individual transcript molecules and thus the removal of amplification noise and biases from scRNASeq data. Figure 2.9: UMI sequencing protocol When sequencing UMI containing data, techniques are used to specifically sequence only the end of the transcript containing the UMI (usually the 3’ end). 2.8.2 Mapping Barcodes Since the number of unique barcodes (\\(4^N\\), where \\(N\\) is the length of UMI) is much smaller than the total number of molecules per cell (~\\(10^6\\)), each barcode will typically be assigned to multiple transcripts. Hence, to identify unique molecules both barcode and mapping location (transcript) must be used. The first step is to map UMI reads, for which we recommend using STAR since it is fast and outputs good quality BAM-alignments. Moreover, mapping locations can be useful for eg. identifying poorly-annotated 3’ UTRs of transcripts. UMI-sequencing typically consists of paired-end reads where one read from each pair captures the cell and UMI barcodes while the other read consists of exonic sequence from the transcript (Figure 2.10). Note that trimming and/or filtering to remove reads containing poly-A sequence is recommended to avoid erors due to these read mapping to genes/transcripts with internal poly-A/poly-T sequences. After processing the reads from a UMI experiment, the following conventions are often used: The UMI is added to the read name of the other paired read. Reads are sorted into separate files by cell barcode For extremely large, shallow datasets, the cell barcode may be added to the read name as well to reduce the number of files. Figure 2.10: UMI sequencing reads, red lightning bolts represent different fragmentation locations 2.8.3 Counting Barcodes In theory, every unique UMI-transcript pair should represent all reads originating from a single RNA molecule. However, in practice this is frequently not the case and the most common reasons are: Different UMI does not necessarily mean different molecule Due to PCR or sequencing errors, base-pair substitution events can result in new UMI sequences. Longer UMIs give more opportunity for errors to arise and based on estimates from cell barcodes we expect 7-10% of 10bp UMIs to contain at least one error. If not corrected for, this type of error will result in an overestimate of the number of transcripts. Different transcript does not necessarily mean different molecule Mapping errors and/or multimapping reads may result in some UMIs being assigned to the wrong gene/transcript. This type of error will also result in an overestimate of the number of transcripts. Same UMI does not necessarily mean same molecule Biases in UMI frequency and short UMIs can result in the same UMI being attached to different mRNA molecules from the same gene. Thus, the number of transcripts may be underestimated. Figure 2.11: Potential Errors in UMIs 2.8.4 Correcting for Errors How to best account for errors in UMIs remains an active area of research. The best approaches that we are aware of for resolving the issues mentioned above are: UMI-tools’ directional-adjacency method implements a procedure which considers both the number of mismatches and the relative frequency of similar UMIs to identify likely PCR/sequencing errors. Currently an open question. The problem may be mitigated by removing UMIs with few reads to support their association with a particular transcript, or by removing all multi-mapping reads. Simple saturation (aka “collision probabilityâ€) correction proposed by Grun, Kester and van Oudenaarden (2014) to estimate the true number of molecules \\(M\\): \\[M \\approx -N*log(1 - \\frac{n}{N})\\] where N = total number of unique UMI barcodes and n = number of observed barcodes. An important caveat of this method is that it assumes that all UMIs are equally frequent. In most cases this is incorrect, since there is often a bias related to the GC content. Figure 2.12: Per gene amplification rate Determining how to best process and use UMIs is currently an active area of research in the bioinformatics community. We are aware of several methods that have recently been developed, including: UMI-tools PoissonUMIs zUMIs dropEst 2.8.5 Downstream Analysis Current UMI platforms (DropSeq, InDrop, ICell8) exhibit low and highly variable capture efficiency as shown in the figure below. Figure 2.13: Variability in Capture Efficiency This variability can introduce strong biases and it needs to be considered in downstream analysis. Recent analyses often pool cells/genes together based on cell-type or biological pathway to increase the power. Robust statistical analyses of this data is still an open research question and it remains to be determined how to best adjust for biases. Exercise 1 We have provided you with UMI counts and read counts from induced pluripotent stem cells generated from three different individuals (Tung et al. 2017) (see: Chapter 6.1 for details of this dataset). umi_counts <- read.table("data/tung/molecules.txt", sep = "\\t") read_counts <- read.table("data/tung/reads.txt", sep = "\\t") Using this data: Plot the variability in capture efficiency Determine the amplification rate: average number of reads per UMI. References "],
+["introduction-to-rbioconductor.html", "3 Introduction to R/Bioconductor 3.1 Installing packages 3.2 Installation instructions: 3.3 Data-types/classes 3.4 Basic data structures 3.5 Accessing documentation and help files 3.6 Data Types 3.7 What is Bioconductor? 3.8 SingleCellExperiment class 3.9 scater package 3.10 Introduction to ggplot2", " 3 Introduction to R/Bioconductor 3.1 Installing packages 3.1.1 CRAN The Comprehensive R Archive Network CRAN is the biggest archive of R packages. There are few requirements for uploading packages besides building and installing succesfully, hence documentation and support is often minimal and figuring how to use these packages can be a challenge it itself. CRAN is the default repository R will search to find packages to install: install.packages("devtools") require("devtools") 3.1.2 Github Github isn’t specific to R, any code of any type in any state can be uploaded. There is no guarantee a package uploaded to github will even install, nevermind do what it claims to do. R packages can be downloaded and installed directly from github using the “devtools†package installed above. devtools::install_github("tallulandrews/M3Drop") Github is also a version control system which stores multiple versions of any package. By default the most recent “master†version of the package is installed. If you want an older version or the development branch this can be specified using the “ref†parameter: # different branch devtools::install_github("tallulandrews/M3D", ref="nbumi") # previous commit devtools::install_github("tallulandrews/M3Drop", ref="434d2da28254acc8de4940c1dc3907ac72973135") Note: make sure you re-install the M3Drop master branch for later in the course. 3.1.3 Bioconductor Bioconductor is a repository of R-packages specifically for biological analyses. It has the strictest requirements for submission, including installation on every platform and full documentation with a tutorial (called a vignette) explaining how the package should be used. Bioconductor also encourages utilization of standard data structures/classes and coding style/naming conventions, so that, in theory, packages and analyses can be combined into large pipelines or workflows. source("https://bioconductor.org/biocLite.R") biocLite("edgeR") Note: in some situations it is necessary to substitute “http://†for “https://†in the above depending on the security features of your internet connection/network. Bioconductor also requires creators to support their packages and has a regular 6-month release schedule. Make sure you are using the most recent release of bioconductor before trying to install packages for the course. source("https://bioconductor.org/biocLite.R") biocLite("BiocUpgrade") 3.1.4 Source The final way to install packages is directly from source. In this case you have to download a fully built source code file, usually packagename.tar.gz, or clone the github repository and rebuild the package yourself. Generally this will only be done if you want to edit a package yourself, or if for some reason the former methods have failed. install.packages("M3Drop_3.05.00.tar.gz", type="source") 3.2 Installation instructions: All the packages necessary for this course are available here. Starting from “RUN Rscript -eâ€install.packages(‘devtools’)" “, run each of the commands (minusâ€RUN") on the command line or start an R session and run each of the commands within the quotation marks. Note the ordering of the installation is important in some cases, so make sure you run them in order from top to bottom. 3.3 Data-types/classes R is a high level language so the underlying data-type is generally not important. The exception if you are accessing R data directly using another language such as C, but that is beyond the scope of this course. Instead we will consider the basic data classes: numeric, integer, logical, and character, and the higher level data class called “factorâ€. You can check what class your data is using the “class()†function. Aside: R can also store data as “complex†for complex numbers but generally this isn’t relevant for biological analyses. 3.3.1 Numeric The “numeric†class is the default class for storing any numeric data - integers, decimal numbers, numbers in scientific notation, etc… x = 1.141 class(x) ## [1] "numeric" y = 42 class(y) ## [1] "numeric" z = 6.02e23 class(z) ## [1] "numeric" Here we see that even though R has an “integer†class and 42 could be stored more efficiently as an integer the default is to store it as “numericâ€. If we want 42 to be stored as an integer we must “coerce†it to that class: y = as.integer(42) class(y) ## [1] "integer" Coercion will force R to store data as a particular class, if our data is incompatible with that class it will still do it but the data will be converted to NAs: as.numeric("H") ## Warning: NAs introduced by coercion ## [1] NA Above we tried to coerce “character†data, identified by the double quotation marks, into numeric data which doesn’t make sense, so we triggered (“threwâ€) an warning message. Since this is only a warning R would continue with any subsequent commands in a script/function, whereas an “error†would cause R to halt. 3.3.2 Character/String The “character†class stores all kinds of text data. Programing convention calls data containing multiple letters a “stringâ€, thus most R functions which act on character data will refer to the data as “strings†and will often have “str†or “string†in it’s name. Strings are identified by being flanked by double quotation marks, whereas variable/function names are not: x = 5 a = "x" # character "x" a ## [1] "x" b = x # variable x b ## [1] 5 In addition to standard alphanumeric characters, strings can also store various special characters. Special characters are identified using a backlash followed by a single character, the most relevant are the special character for tab : \\t and new line : \\n. To demonstrate the these special characters lets concatenate (cat) together two strings with these characters separating (sep) them: cat("Hello", "World", sep= " ") ## Hello World cat("Hello", "World", sep= "\\t") ## Hello World cat("Hello", "World", sep= "\\n") ## Hello ## World Note that special characters work differently in different functions. For instance the paste function does the same thing as cat but does not recognize special characters. paste("Hello", "World", sep= " ") ## [1] "Hello World" paste("Hello", "World", sep= "\\t") ## [1] "Hello\\tWorld" paste("Hello", "World", sep= "\\n") ## [1] "Hello\\nWorld" Single or double backslash is also used as an escape character to turn off special characters or allow quotation marks to be included in strings: cat("This \\"string\\" contains quotation marks.") ## This "string" contains quotation marks. Special characters are generally only used in pattern matching, and reading/writing data to files. For instance this is how you would read a tab-separated file into R. dat = read.delim("file.tsv", sep="\\t") Another special type of character data are colours. Colours can be specified in three main ways: by name from those available, by red, green, blue values using the rgb function, and by hue (colour), saturation (colour vs white) and value (colour/white vs black) using the hsv function. By default rgb and hsv expect three values in 0-1 with an optional fourth value for transparency. Alternatively, sets of predetermined colours with useful properties can be loaded from many different packages with RColorBrewer being one of the most popular. reds = c("red", rgb(1,0,0), hsv(0, 1, 1)) reds ## [1] "red" "#FF0000" "#FF0000" barplot(c(1,1,1), col=reds, names=c("by_name", "by_rgb", "by_hsv")) 3.3.3 Logical The logical class stores boolean truth values, i.e. TRUE and FALSE. It is used for storing the results of logical operations and conditional statements will be coerced to this class. Most other data-types can be coerced to boolean without triggering (or “throwingâ€) error messages, which may cause unexpected behaviour. x = TRUE class(x) ## [1] "logical" y = "T" as.logical(y) ## [1] TRUE z = 5 as.logical(z) ## [1] TRUE x = FALSE class(x) ## [1] "logical" y = "F" as.logical(y) ## [1] FALSE z = 0 as.logical(z) ## [1] FALSE Exercise 1 Experiment with other character and numeric values, which are coerced to TRUE or FALSE? which are coerced to neither? Do you ever throw a warning/error message? 3.3.4 Factors String/Character data is very memory inefficient to store, each letter generally requires the same amount of memory as any integer. Thus when storing a vector of strings with repeated elements it is more efficient assign each element to an integer and store the vector as integers and an additional string-to-integer association table. Thus, by default R will read in text columns of a data table as factors. str_vector = c("Apple", "Apple", "Banana", "Banana", "Banana", "Carrot", "Carrot", "Apple", "Banana") factored_vector = factor(str_vector) factored_vector ## [1] Apple Apple Banana Banana Banana Carrot Carrot Apple Banana ## Levels: Apple Banana Carrot as.numeric(factored_vector) ## [1] 1 1 2 2 2 3 3 1 2 The double nature of factors can cause some unintuitive behaviour. E.g. joining two factors together will convert them to the numeric form and the original strings will be lost. c(factored_vector, factored_vector) ## [1] 1 1 2 2 2 3 3 1 2 1 1 2 2 2 3 3 1 2 Likewise if due to formatting issues numeric data is mistakenly interpretted as strings, then you must convert the factor back to strings before coercing to numeric values: x = c("20", "25", "23", "38", "20", "40", "25", "30") x = factor(x) as.numeric(x) ## [1] 1 3 2 5 1 6 3 4 as.numeric(as.character(x)) ## [1] 20 25 23 38 20 40 25 30 To make R read text as character data instead of factors set the environment option stringsAsFactors=FALSE. This must be done at the start of each R session. options(stringsAsFactors=FALSE) Exercise How would you use factors to create a vector of colours for an arbitrarily long vector of fruits like str_vector above? Answer 3.3.5 Checking class/type We recommend checking your data is of the correct class after reading from files: x = 1.4 is.numeric(x) ## [1] TRUE is.character(x) ## [1] FALSE is.logical(x) ## [1] FALSE is.factor(x) ## [1] FALSE 3.4 Basic data structures So far we have only looked at single values and vectors. Vectors are the simplest data structure in R. They are a 1-dimensional array of data all of the same type. If the input when creating a vector is of different types it will be coerced to the data-type that is most consistent with the data. x = c("Hello", 5, TRUE) x ## [1] "Hello" "5" "TRUE" class(x) ## [1] "character" Here we tried to put character, numeric and logical data into a single vector so all the values were coerced to character data. A matrix is the two dimensional version of a vector, it also requires all data to be of the same type. If we combine a character vector and a numeric vector into a matrix, all the data will be coerced to characters: x = c("A", "B", "C") y = c(1, 2, 3) class(x) ## [1] "character" class(y) ## [1] "numeric" m = cbind(x, y) m ## x y ## [1,] "A" "1" ## [2,] "B" "2" ## [3,] "C" "3" The quotation marks indicate that the numeric vector has been coerced to characters. Alternatively, to store data with columns of different data-types we can use a dataframe. z = data.frame(x, y) z ## x y ## 1 A 1 ## 2 B 2 ## 3 C 3 class(z[,1]) ## [1] "character" class(z[,2]) ## [1] "numeric" If you have set stringsAsFactors=FALSE as above you will find the first column remains characters, otherwise it will be automatically converted to a factor. options(stringsAsFactors=TRUE) z = data.frame(x, y) class(z[,1]) ## [1] "factor" Another difference between matrices and dataframes is the ability to select columns using the $ operator: m$x # throws an error z$x # ok The final basic data structure is the list. Lists allow data of different types and different lengths to be stored in a single object. Each element of a list can be any other R object : data of any type, any data structure, even other lists or functions. l = list(m, z) ll = list(sublist=l, a_matrix=m, numeric_value=42, this_string="Hello World", even_a_function=cbind) ll ## $sublist ## $sublist[[1]] ## x y ## [1,] "A" "1" ## [2,] "B" "2" ## [3,] "C" "3" ## ## $sublist[[2]] ## x y ## 1 A 1 ## 2 B 2 ## 3 C 3 ## ## ## $a_matrix ## x y ## [1,] "A" "1" ## [2,] "B" "2" ## [3,] "C" "3" ## ## $numeric_value ## [1] 42 ## ## $this_string ## [1] "Hello World" ## ## $even_a_function ## function (..., deparse.level = 1) ## .Internal(cbind(deparse.level, ...)) ## <bytecode: 0x55625c0dc0f8> ## <environment: namespace:base> Lists are most commonly used when returning a large number of results from a function that do not fit into any of the previous data structures. 3.5 Accessing documentation and help files You can get more information about any R commands relevant to these datatypes using by typing ?function in an interactive session. 3.6 Data Types 3.6.1 What is Tidy Data? Tidy data is a concept largely defined by Hadley Wickham (Wickham 2014). Tidy data has the following three characteristics: Each variable has its own column. Each observation has its own row. Each value has its own cell. Here is an example of some tidy data: ## Students Subject Years Score ## 1 Mark Maths 1 5 ## 2 Jane Biology 2 6 ## 3 Mohammed Physics 3 4 ## 4 Tom Maths 2 7 ## 5 Celia Computing 3 9 Here is an example of some untidy data: ## Students Sport Category Counts ## 1 Matt Tennis Wins 0 ## 2 Matt Tennis Losses 1 ## 3 Ellie Rugby Wins 3 ## 4 Ellie Rugby Losses 2 ## 5 Tim Football Wins 1 ## 6 Tim Football Losses 4 ## 7 Louise Swimming Wins 2 ## 8 Louise Swimming Losses 2 ## 9 Kelly Running Wins 5 ## 10 Kelly Running Losses 1 Task 1: In what ways is the untidy data not tidy? How could we make the untidy data tidy? Tidy data is generally easier to work with than untidy data, especially if you are working with packages such as ggplot. Fortunately, packages are available to make untidy data tidy. Today we will explore a few of the functions available in the tidyr package which can be used to make untidy data tidy. If you are interested in finding out more about tidying data, we recommend reading “R for Data Scienceâ€, by Garrett Grolemund and Hadley Wickham. An electronic copy is available here: http://r4ds.had.co.nz/ The untidy data above is untidy because two variables (Wins and Losses) are stored in one column (Category). This is a common way in which data can be untidy. To tidy this data, we need to make Wins and Losses into columns, and store the values in Counts in these columns. Fortunately, there is a function from the tidyverse packages to perform this operation. The function is called spread, and it takes two arguments, key and value. You should pass the name of the column which contains multiple variables to key, and pass the name of the column which contains values from multiple variables to value. For example: library(tidyverse) sports<-data.frame(Students=c("Matt", "Matt", "Ellie", "Ellie", "Tim", "Tim", "Louise", "Louise", "Kelly", "Kelly"), Sport=c("Tennis","Tennis", "Rugby", "Rugby","Football", "Football","Swimming","Swimming", "Running", "Running"), Category=c("Wins", "Losses", "Wins", "Losses", "Wins", "Losses", "Wins", "Losses", "Wins", "Losses"), Counts=c(0,1,3,2,1,4,2,2,5,1)) sports ## Students Sport Category Counts ## 1 Matt Tennis Wins 0 ## 2 Matt Tennis Losses 1 ## 3 Ellie Rugby Wins 3 ## 4 Ellie Rugby Losses 2 ## 5 Tim Football Wins 1 ## 6 Tim Football Losses 4 ## 7 Louise Swimming Wins 2 ## 8 Louise Swimming Losses 2 ## 9 Kelly Running Wins 5 ## 10 Kelly Running Losses 1 spread(sports, key=Category, value=Counts) ## Students Sport Losses Wins ## 1 Ellie Rugby 2 3 ## 2 Kelly Running 1 5 ## 3 Louise Swimming 2 2 ## 4 Matt Tennis 1 0 ## 5 Tim Football 4 1 Task 2: The dataframe foods defined below is untidy. Work out why and use spread() to tidy it foods<-data.frame(student=c("Antoinette","Antoinette","Taylor", "Taylor", "Alexa", "Alexa"), Category=c("Dinner", "Dessert", "Dinner", "Dessert", "Dinner","Dessert"), Frequency=c(3,1,4,5,2,1)) The other common way in which data can be untidy is if the columns are values instead of variables. For example, the dataframe below shows the percentages some students got in tests they did in May and June. The data is untidy because the columns May and June are values, not variables. percentages<-data.frame(student=c("Alejandro", "Pietro", "Jane"), "May"=c(90,12,45), "June"=c(80,30,100)) Fortunately, there is a function in the tidyverse packages to deal with this problem too. gather() takes the names of the columns which are values, the key and the value as arguments. This time, the key is the name of the variable with values as column names, and the value is the name of the variable with values spread over multiple columns. Ie: gather(percentages, "May", "June", key="Month", value = "Percentage") ## student Month Percentage ## 1 Alejandro May 90 ## 2 Pietro May 12 ## 3 Jane May 45 ## 4 Alejandro June 80 ## 5 Pietro June 30 ## 6 Jane June 100 These examples don’t have much to do with single-cell RNA-seq analysis, but are designed to help illustrate the features of tidy and untidy data. You will find it much easier to analyse your single-cell RNA-seq data if your data is stored in a tidy format. Fortunately, the data structures we commonly use to facilitate single-cell RNA-seq analysis usually encourage store your data in a tidy manner. 3.6.2 What is Rich Data? If you google ‘rich data’, you will find lots of different definitions for this term. In this course, we will use ‘rich data’ to mean data which is generated by combining information from multiple sources. For example, you could make rich data by creating an object in R which contains a matrix of gene expression values across the cells in your single-cell RNA-seq experiment, but also information about how the experiment was performed. Objects of the SingleCellExperiment class, which we will discuss below, are an example of rich data. Typically, Bioconductor packages make use of rich data objects that have many advantages for package developers and users alike. 3.7 What is Bioconductor? From Wikipedia: Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by wet lab experiments in molecular biology. Bioconductor is based primarily on the statistical R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. At any one time there is a release version,which corresponds to the released version of R, and a development version, which corresponds to the development version of R. Most users will find the release version appropriate for their needs. We strongly recommend all new comers and even experienced high-throughput data analysts to use well developed and maintained Bioconductor methods and classes. 3.8 SingleCellExperiment class SingleCellExperiment (SCE) is a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries. In practice, an object of this class can be created using its constructor: library(SingleCellExperiment) counts <- matrix(rpois(100, lambda = 10), ncol=10, nrow=10) rownames(counts) <- paste("gene", 1:10, sep = "") colnames(counts) <- paste("cell", 1:10, sep = "") sce <- SingleCellExperiment( assays = list(counts = counts), rowData = data.frame(gene_names = paste("gene_name", 1:10, sep = "")), colData = data.frame(cell_names = paste("cell_name", 1:10, sep = "")) ) sce ## class: SingleCellExperiment ## dim: 10 10 ## metadata(0): ## assays(1): counts ## rownames(10): gene1 gene2 ... gene9 gene10 ## rowData names(1): gene_names ## colnames(10): cell1 cell2 ... cell9 cell10 ## colData names(1): cell_names ## reducedDimNames(0): ## spikeNames(0): In the SingleCellExperiment, users can assign arbitrary names to entries of assays. To assist interoperability between packages, some suggestions for what the names should be for particular types of data are provided by the authors: counts: Raw count data, e.g., number of reads or transcripts for a particular gene. normcounts: Normalized values on the same scale as the original counts. For example, counts divided by cell-specific size factors that are centred at unity. logcounts: Log-transformed counts or count-like values. In most cases, this will be defined as log-transformed normcounts, e.g., using log base 2 and a pseudo-count of 1. cpm: Counts-per-million. This is the read count for each gene in each cell, divided by the library size of each cell in millions. tpm: Transcripts-per-million. This is the number of transcripts for each gene in each cell, divided by the total number of transcripts in that cell (in millions). Each of these suggested names has an appropriate getter/setter method for convenient manipulation of the SingleCellExperiment. For example, we can take the (very specifically named) counts slot, normalise it and assign it to normcounts instead: normcounts(sce) <- log2(counts(sce) + 1) sce ## class: SingleCellExperiment ## dim: 10 10 ## metadata(0): ## assays(2): counts normcounts ## rownames(10): gene1 gene2 ... gene9 gene10 ## rowData names(1): gene_names ## colnames(10): cell1 cell2 ... cell9 cell10 ## colData names(1): cell_names ## reducedDimNames(0): ## spikeNames(0): dim(normcounts(sce)) ## [1] 10 10 head(normcounts(sce)) ## cell1 cell2 cell3 cell4 cell5 cell6 cell7 ## gene1 3.169925 3.169925 2.000000 2.584963 2.584963 3.321928 3.584963 ## gene2 3.459432 1.584963 3.584963 3.807355 3.700440 3.700440 3.000000 ## gene3 3.000000 3.169925 3.807355 3.169925 3.321928 3.321928 3.321928 ## gene4 3.584963 3.459432 3.000000 3.807355 3.700440 3.700440 3.700440 ## gene5 3.906891 3.000000 3.169925 3.321928 3.584963 3.459432 3.807355 ## gene6 3.700440 3.700440 3.584963 4.000000 3.169925 3.000000 3.459432 ## cell8 cell9 cell10 ## gene1 3.321928 3.807355 2.807355 ## gene2 3.807355 3.700440 4.000000 ## gene3 2.584963 4.000000 3.700440 ## gene4 3.169925 3.584963 3.700440 ## gene5 3.807355 2.584963 3.584963 ## gene6 3.321928 3.459432 4.000000 3.9 scater package scater is a R package for single-cell RNA-seq analysis (McCarthy et al. 2017). The package contains several useful methods for quality control, visualisation and pre-processing of data prior to further downstream analysis. scater features the following functionality: Automated computation of QC metrics Transcript quantification from read data with pseudo-alignment Data format standardisation Rich visualizations for exploratory analysis Seamless integration into the Bioconductor universe Simple normalisation methods We highly recommend to use scater for all single-cell RNA-seq analyses and scater is the basis of the first part of the course. As illustrated in the figure below, scater will help you with quality control, filtering and normalization of your expression matrix following mapping and alignment. Keep in mind that this figure represents the original version of scater where an SCESet class was used. In the newest version this figure is still correct, except that SCESet can be substituted with the SingleCellExperiment class. 3.10 Introduction to ggplot2 3.10.1 What is ggplot2? ggplot2 is an R package designed by Hadley Wickham which facilitates data plotting. In this lab, we will touch briefly on some of the features of the package. If you would like to learn more about how to use ggplot2, we would recommend reading “ggplot2 Elegant graphics for data analysisâ€, by Hadley Wickham. 3.10.2 Principles of ggplot2 Your data must be a dataframe if you want to plot it using ggplot2. Use the aes mapping function to specify how variables in the dataframe map to features on your plot Use geoms to specify how your data should be represented on your graph eg. as a scatterplot, a barplot, a boxplot etc. 3.10.3 Using the aes mapping function The aes function specifies how variables in your dataframe map to features on your plot. To understand how this works, let’s look at an example: library(ggplot2) library(tidyverse) set.seed(1) counts <- as.data.frame(matrix(rpois(100, lambda = 10), ncol=10, nrow=10)) Gene_ids <- paste("gene", 1:10, sep = "") colnames(counts) <- paste("cell", 1:10, sep = "") counts<-data.frame(Gene_ids, counts) counts ## Gene_ids cell1 cell2 cell3 cell4 cell5 cell6 cell7 cell8 cell9 cell10 ## 1 gene1 8 8 3 5 5 9 11 9 13 6 ## 2 gene2 10 2 11 13 12 12 7 13 12 15 ## 3 gene3 7 8 13 8 9 9 9 5 15 12 ## 4 gene4 11 10 7 13 12 12 12 8 11 12 ## 5 gene5 14 7 8 9 11 10 13 13 5 11 ## 6 gene6 12 12 11 15 8 7 10 9 10 15 ## 7 gene7 11 11 14 11 11 5 9 13 13 7 ## 8 gene8 9 12 9 8 6 14 7 12 12 10 ## 9 gene9 14 12 11 7 10 10 8 14 7 10 ## 10 gene10 11 10 9 7 11 16 8 7 7 4 ggplot(data = counts, mapping = aes(x = cell1, y = cell2)) Let’s take a closer look at the final command, ggplot(data = counts, mapping = aes(x = cell1, y = cell2)). ggplot() initialises a ggplot object and takes the arguments data and mapping. We pass our dataframe of counts to data and use the aes() function to specify that we would like to use the variable cell1 as our x variable and the variable cell2 as our y variable. Task 1: Modify the command above to initialise a ggplot object where cell10 is the x variable and cell8 is the y variable. Clearly, the plots we have just created are not very informative because no data is displayed on them. To display data, we will need to use geoms. 3.10.4 Geoms We can use geoms to specify how we would like data to be displayed on our graphs. For example, our choice of geom could specify that we would like our data to be displayed as a scatterplot, a barplot or a boxplot. Let’s see how our graph would look as a scatterplot. ggplot(data = counts, mapping = aes(x = cell1, y = cell2)) + geom_point() Now we can see that there doesn’t seem to be any correlation between gene expression in cell1 and cell2. Given we generated counts randomly, this isn’t too surprising. Task 2: Modify the command above to create a line plot. Hint: execute ?ggplot and scroll down the help page. At the bottom is a link to the ggplot package index. Scroll through the index until you find the geom options. 3.10.5 Plotting data from more than 2 cells So far we’ve been considering the gene counts from 2 of the cells in our dataframe. But there are actually 10 cells in our dataframe and it would be nice to compare all of them. What if we wanted to plot data from all 10 cells at the same time? At the moment we can’t do this because we are treating each individual cell as a variable and assigning that variable to either the x or the y axis. We could create a 10 dimensional graph to plot data from all 10 cells on, but this is a) not possible to do with ggplot and b) not very easy to interpret. What we could do instead is to tidy our data so that we had one variable representing cell ID and another variable representing gene counts, and plot those against each other. In code, this would look like: counts<-gather(counts, colnames(counts)[2:11], key = 'Cell_ID', value='Counts') head(counts) ## Gene_ids Cell_ID Counts ## 1 gene1 cell1 8 ## 2 gene2 cell1 10 ## 3 gene3 cell1 7 ## 4 gene4 cell1 11 ## 5 gene5 cell1 14 ## 6 gene6 cell1 12 Essentially, the problem before was that our data was not tidy because one variable (Cell_ID) was spread over multiple columns. Now that we’ve fixed this problem, it is much easier for us to plot data from all 10 cells on one graph. ggplot(counts,aes(x=Cell_ID, y=Counts)) + geom_boxplot() Task 3: Use the updated counts dataframe to plot a barplot with Cell_ID as the x variable and Counts as the y variable. Hint: you may find it helpful to read ?geom_bar. Task 4: Use the updated counts dataframe to plot a scatterplot with Gene_ids as the x variable and Counts as the y variable. 3.10.6 Plotting heatmaps A common method for visualising gene expression data is with a heatmap. Here we will use the R package pheatmap to perform this analysis with some gene expression data we will name test. library(pheatmap) set.seed(2) test = matrix(rnorm(200), 20, 10) test[1:10, seq(1, 10, 2)] = test[1:10, seq(1, 10, 2)] + 3 test[11:20, seq(2, 10, 2)] = test[11:20, seq(2, 10, 2)] + 2 test[15:20, seq(2, 10, 2)] = test[15:20, seq(2, 10, 2)] + 4 colnames(test) = paste("Cell", 1:10, sep = "") rownames(test) = paste("Gene", 1:20, sep = "") pheatmap(test) Let’s take a moment to work out what this graphic is showing us. Each row represents a gene and each column represents a cell. How highly expressed each gene is in each cell is represented by the colour of the corresponding box. For example, we can tell from this plot that gene18 is highly expressed in cell10 but lowly expressed in cell1. This plot also gives us information on the results of a clustering algorithm. In general, clustering algorithms aim to split datapoints (eg.cells) into groups whose members are more alike one another than they are alike the rest of the datapoints. The trees drawn on the top and left hand sides of the graph are the results of clustering algorithms and enable us to see, for example, that cells 4,8,2,6 and 10 are more alike one another than they are alike cells 7,3,5,1 and 9. The tree on the left hand side of the graph represents the results of a clustering algorithm applied to the genes in our dataset. If we look closely at the trees, we can see that eventually they have the same number of branches as there are cells and genes. In other words, the total number of cell clusters is the same as the total number of cells, and the total number of gene clusters is the same as the total number of genes. Clearly, this is not very informative, and will become impractical when we are looking at more than 10 cells and 20 genes. Fortunately, we can set the number of clusters we see on the plot. Let’s try setting the number of gene clusters to 2: pheatmap(test, kmeans_k = 2) Now we can see that the genes fall into two clusters - a cluster of 8 genes which are upregulated in cells 2, 10, 6, 4 and 8 relative to the other cells and a cluster of 12 genes which are downregulated in cells 2, 10, 6, 4 and 8 relative to the other cells. Task 5: Try setting the number of clusters to 3. Which number of clusters do you think is more informative? 3.10.7 Principal Component Analysis Principal component analysis (PCA) is a statistical procedure that uses a transformation to convert a set of observations into a set of values of linearly uncorrelated variables called principal components. The transformation is carried out so that the first principle component accounts for as much of the variability in the data as possible, and each following principle component accounts for the greatest amount of variance possible under the contraint that it must be orthogonal to the previous components. PCA plots are a good way to get an overview of your data, and can sometimes help identify confounders which explain a high amount of the variability in your data. We will investigate how we can use PCA plots in single-cell RNA-seq analysis in more depth in a future lab, here the aim is to give you an overview of what PCA plots are and how they are generated. Let’s make a PCA plot for our test data. We can use the ggfortify package to let ggplot know how to interpret principle components. library(ggfortify) Principal_Components<-prcomp(test) autoplot(Principal_Components, label=TRUE) Task 6: Compare your clusters to the pheatmap clusters. Are they related? (Hint: have a look at the gene tree for the first pheatmap we plotted) Task 7: Produce a heatmap and PCA plot for counts (below): set.seed(1) counts <- as.data.frame(matrix(rpois(100, lambda = 10), ncol=10, nrow=10)) rownames(counts) <- paste("gene", 1:10, sep = "") colnames(counts) <- paste("cell", 1:10, sep = "") References "],
["datasets.html", "4 Datasets 4.1 Deng 4.2 Tung 4.3 Pancreas 4.4 Heart 4.5 Thymus 4.6 Tabula Muris 4.7 Introduction 4.8 Downloading the data 4.9 Reading the data (Smartseq2) 4.10 Building a SingleCellExperiment object 4.11 Reading the data (10X) 4.12 Building a SingleCellExperiment object for the 10X data 4.13 Advanced Exercise", " 4 Datasets Here we provide brief descriptions of the core datasets used in this course and a more detailed description of the Tabula Muris (mouse cell atlas) data, how it can be downloaded and how it can be used. 4.1 Deng A single-cell RNA-seq dataset of 268 individual cells dissociated from in vivo F1 embryos from oocyte to blastocyst stages of mouse preimplantation development. Single-cell transcriptome profiles were generated with Smart-seq or Smart-seq2 from each individual cell with spike-ins (NB: both the Smart-seq and Smart-seq2 protocols were used, for different sets of cells in the dataset). Cells annlysed here have been annotated with their developmental stages according to the original publication. Deng, Qiaolin, et al. “Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.†Science 343.6167 (2014) 193-196. 4.2 Tung A dataset of induced pluripotent stem cells generated from three different individuals with replicates (Tung et al. 2017) in Yoav Gilad’s lab at the University of Chicago. Data generated using Fluidigm C1 platform and to facilitate the quantification both unique molecular identifiers (UMIs) and ERCC spike-ins were used. The data files are located in the tung folder in your working directory. These files are the copies of the original files made on the 15/03/16. We will use these copies for reproducibility purposes. Tung, Po-Yuan, et al. “Batch effects and the effective design of single-cell gene expression studies.†Scientific reports 7 (2017): 39921. 4.3 Pancreas We have included two human pancreas datasets: from Muraro et al (2016) (Muraro et al. 2016) and Segerstolpe et al. (2016) (Segerstolpe et al. 2016). Since the pancreas has been widely studied, these datasets are well annotated. 4.3.1 Muraro Single-cell CEL-seq2 data were generated using a customised automated platform that uses FACS, robotics, and the CEL-Seq2 protocol to obtain the transcriptomes of thousands of single pancreatic cells from four deceased organ donors. Cell surface markers can be used for sorting and enriching certain cell types.(Muraro et al. 2016) Muraro,M.J. et al. (2016) A Single-Cell Transcriptome Atlas of the Human Pancreas. Cell Syst, 3, 385–394.e3. 4.3.2 Segerstolpe Single-cell RNA-seq dataset of human pancreatic cells from patients with type 2 diabetes and healthy controls. Single cells were prepared using Smart-seq2 protocol and sequenced on an Illumina HiSeq 2000.(Segerstolpe et al. 2016) Segerstolpe,Å. et al. (2016) Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes. Cell Metab., 24, 593–607. 4.4 Heart data/sce/Heart_10X.rds is a SCE object containing cells from Heart tissue from the Tabula Muris dataset (details below) using 10X protocol. 4.5 Thymus data/sce/Thymus_10X.rds is a SCE object containing cells from Thymus tissue from the Tabula Muris dataset (details below) using 10X protocol. 4.6 Tabula Muris 4.7 Introduction To give you hands-on experience analyzing from start to finish a single-cell RNASeq dataset we will be using as an example, data from the Tabula Muris initial release. The Tabula Muris is an international collaboration with the aim to profile every cell-type in the mouse using a standardized method. They combine high-throughput but low-coverage 10X data with lower throughput but high-coverage FACS-sorted cells + Smartseq2. The initial release of the data (20 Dec 2017), contains almost 100,000 cells across 20 different tissues/organs. You might like to choose a tissue to focus on for a detailed analysis. 4.8 Downloading the data Unlike most single-cell RNA-seq data Tabula Muris has released their data through the figshare platform rather than uploading it to GEO or ArrayExpress. You can find the data by using the doi’s in their paper : 10.6084/m9.figshare.5715040 for FACS/Smartseq2 and 10.6084/m9.figshare.5715025 for 10X data. The data can be downloaded manually by clinking the doi links or by using the command-line commands below: Terminal-based download of FACS data: wget https://ndownloader.figshare.com/files/10038307 unzip 10038307 wget https://ndownloader.figshare.com/files/10038310 mv 10038310 FACS_metadata.csv wget https://ndownloader.figshare.com/files/10039267 mv 10039267 FACS_annotations.csv Terminal-based download of 10X data: wget https://ndownloader.figshare.com/files/10038325 unzip 10038325 wget https://ndownloader.figshare.com/files/10038328 mv 10038328 droplet_metadata.csv wget https://ndownloader.figshare.com/files/10039264 mv 10039264 droplet_annotation.csv Note if you download the data by hand you should unzip & rename the files as above before continuing. You should now have two folders : “FACS†and “droplet†and one annotation and metadata file for each. To inspect these files you can use the head to see the top few lines of the text files (Press “q†to exit): head -n 10 droplet_metadata.csv You can also check the number of rows in each file using: wc -l droplet_annotation.csv Exercise How many cells do we have annotations for from FACS? from 10X? nn Answer FACS : 54,838 cells Droplet : 42,193 cells 4.9 Reading the data (Smartseq2) We can now read in the relevant count matrix from the comma-separated file. Then inspect the resulting dataframe: dat <- read.delim("FACS/Kidney-counts.csv", sep=",", header=TRUE) dat[1:5,1:5] We can see that the first column in the dataframe is the gene names, so first we move these to the rownames so we have a numeric matrix: dim(dat) rownames(dat) <- dat[,1] dat <- dat[,-1] Since this is a Smart-seq2 dataset it may contain spike-ins so lets check: rownames(dat)[grep("^ERCC-", rownames(dat))] Now we can extract much of the metadata for this data from the column names: cellIDs <- colnames(dat) cell_info <- strsplit(cellIDs, "\\\\.") Well <- lapply(cell_info, function(x){x[1]}) Well <- unlist(Well) Plate <- unlist(lapply(cell_info, function(x){x[2]})) Mouse <- unlist(lapply(cell_info, function(x){x[3]})) We can check the distributions of each of these metadata classifications: summary(factor(Mouse)) We can also check if any technical factors are confounded: table(Mouse, Plate) Lastly we will read the computationally inferred cell-type annotation and match them to the cell in our expression matrix: ann <- read.table("FACS_annotations.csv", sep=",", header=TRUE) ann <- ann[match(cellIDs, ann[,1]),] celltype <- ann[,3] 4.10 Building a SingleCellExperiment object To create a SingleCellExperiment object we must put together all the cell annotations into a single dataframe, since the experimental batch (PCR plate) is completely confounded with donor mouse we will only keep one of them. library("SingleCellExperiment") library("scater") cell_anns <- data.frame(mouse = Mouse, well=Well, type=celltype) rownames(cell_anns) <- colnames(dat) sceset <- SingleCellExperiment(assays = list(counts = as.matrix(dat)), colData=cell_anns) Finally if the dataset contains spike-ins we a hidden variable in the SingleCellExperiment object to track them: isSpike(sceset, "ERCC") <- grepl("ERCC-", rownames(sceset)) 4.11 Reading the data (10X) Due to the large size and sparsity of 10X data (upto 90% of the expression matrix may be 0s) it is typically stored as a sparse matrix. The default output format for CellRanger is an .mtx file which stores this sparse matrix as a column of row coordinates, a column of column corodinates, and a column of expression values > 0. Note if you look at the .mtx file you will see two header lines followed by a line detailing the total number of rows, columns and counts for the full matrix. Since only the coordinates are stored in the .mtx file, the names of each row & column must be stored separately in the “genes.tsv†and “barcodes.tsv†files respectively. We will be using the “Matrix†package to store matrices in sparse-matrix format in R. The SingleCellExperiment class naturally handles parse matrices, and many downstream tools including scater, scran and DropletUtils also handle data stored in sparse matrices, reducing the memory requirements for many early steps in an analysis. The SingleCellExperiment class can also use data in HDF5 format which allows large non-sparse matrices to be stored & accessed on disk in an efficient manner rather than loading the whole thing into RAM. library("Matrix") cellbarcodes <- read.table("droplet/Kidney-10X_P4_5/barcodes.tsv") genenames <- read.table("droplet/Kidney-10X_P4_5/genes.tsv") molecules <- readMM("droplet/Kidney-10X_P4_5/matrix.mtx") Now we will add the appropriate row and column names. However, if you inspect the read cellbarcodes you will see that they are just the barcode sequence associated with each cell. This is a problem since each batch of 10X data uses the same pool of barcodes so if we need to combine data from multiple 10X batches the cellbarcodes will not be unique. Hence we will attach the batch ID to each cell barcode: head(cellbarcodes) rownames(molecules) <- genenames[,1] colnames(molecules) <- paste("10X_P4_5", cellbarcodes[,1], sep="_") Now lets get the metadata and computational annotations for this data: meta <- read.delim("droplet_metadata.csv", sep=",", header = TRUE) head(meta) Here we can see that we need to use 10X_P4_5 to find the metadata for this batch, also note that the format of the mouse ID is different in this metadata table with hyphens instead of underscores and with the gender in the middle of the ID. From checking the methods section of the accompanying paper we know that the same 8 mice were used for both droplet and plate-based techniques. So we need to fix the mouse IDs to be consistent with those used in the FACS experiments. meta[meta$channel == "10X_P4_5",] mouseID <- "3_8_M" Note: depending on the tissue you choose you may have 10X data from mixed samples : e.g. mouse id = 3-M-5/6. You should still reformat these to be consistent but they will not match mouse ids from the FACS data which may affect your downstream analysis. If the mice weren’t from an inbred strain it would be possible to assign individual cells to a specific mouse using exonic-SNPs but that is beyond the scope of this course. ann <- read.delim("droplet_annotation.csv", sep=",", header=TRUE) head(ann) Again you will find a slight formating difference between the cellID in the annotation and the cellbarcodes which we will have to correct before matching them. ann[,1] <- paste(ann[,1], "-1", sep="") ann_subset <- ann[match(colnames(molecules), ann[,1]),] celltype <- ann_subset[,3] Now lets build the cell-metadata dataframe: cell_anns <- data.frame(mouse = rep(mouseID, times=ncol(molecules)), type=celltype) rownames(cell_anns) <- colnames(molecules); Exercise Repeat the above for the other 10X batches for your tissue. Answer 4.12 Building a SingleCellExperiment object for the 10X data Now that we have read the 10X data in multiple batches we need to combine them into a single SingleCellExperiment object. First we will check that the gene names are the same and in the same order across all batches: identical(rownames(molecules1), rownames(molecules2)) identical(rownames(molecules1), rownames(molecules3)) Now we’ll check that there aren’t any repeated cellIDs: sum(colnames(molecules1) %in% colnames(molecules2)) sum(colnames(molecules1) %in% colnames(molecules3)) sum(colnames(molecules2) %in% colnames(molecules3)) Everything is ok, so we can go ahead and combine them: all_molecules <- cbind(molecules1, molecules2, molecules3) all_cell_anns <- as.data.frame(rbind(cell_anns1, cell_anns2, cell_anns3)) all_cell_anns$batch <- rep(c("10X_P4_5", "10X_P4_6","10X_P7_5"), times = c(nrow(cell_anns1), nrow(cell_anns2), nrow(cell_anns3))) Exercise How many cells are in the whole dataset? Answer Now build the SingleCellExperiment object. One of the advantages of the SingleCellExperiment class is that it is capable of storing data in normal matrix or sparse matrix format, as well as HDF5 format which allows large non-sparse matrices to be stored & accessed on disk in an efficient manner rather than loading the whole thing into RAM. all_molecules <- as.matrix(all_molecules) sceset <- SingleCellExperiment( assays = list(counts = as.matrix(all_molecules)), colData = all_cell_anns ) Since this is 10X data it will not contain spike-ins, so we just save the data: saveRDS(sceset, "kidney_droplet.rds") 4.13 Advanced Exercise Write an R function/script which will fully automate this procedure for each data-type for any tissue. References "],
["processing-raw-scrna-seq-data.html", "5 Processing raw scRNA-seq data 5.1 Generating fastq files from BCLs 5.2 FastQC 5.3 Trimming Reads 5.4 Fastp 5.5 Read alignment and gene expression quantification 5.6 Full-length transcript datasets 5.7 Tag-based datasets 5.8 Practise 5.9 Identifying cell-containing droplets/microwells", " 5 Processing raw scRNA-seq data 5.1 Generating fastq files from BCLs BCLs (Illumina sequencer’s base call files) are binary files with raw sequencing data generated from sequencers. If your data processing starts BCLs you will need to make fastq files from the BCL files. More on BCL format. For others, you may have received the fastq files from your sequencing facilities or collaborators, you can refer to Section 5.2 for pre-processing on fastq files. 5.1.1 Demultiplexing In cases where multiple sample libraries are pooled together for sequencing on one lane of a flowcell to reduce seqeuncing cost, we demultiplex the samples by their sample index in the step of making fastq files from BCLs. Sample indices are ‘barcodes’ for multiplexed samples which have been constructed in the read structure during the library preparation. Figure 2.3: Example 10X Final Library Structure 5.1.2 cellranger mkfastq If you are working with 10X Genomiec data, it is best to use the cellranger mkfastq pipleline, which wraps Illumina’s bcl2fastq and provides a number of convenient features designed specifically for 10X data format. In order to demultiplex samples, you would also need the sample_sheet.csv file which tells the mkfastq pipeline which libraries are sequenced on which lanes of the flowcell and what sample index sets they have. For example when you have multiple libraries sequenced on one lane here: With cellranger mkfastq, you can provide a simpleSampleSheet.csv file that has: Lane Sample Index 1 test_sample SI-P03-C9 1 test_sample2 SI-P03-A3 ... SI-P03-C9 and SI-P03-A3 are the 10x sample index set names. Each of them corresponds to a mix of 4 unique oligonucleotides so that the i7 index read is balanced across all 4 bases during sequencing. There are a list of 96 sample index sets and you can use any ones of them to ‘tag’ your samples. An example command to run cellranger mkfastq /mnt/Software/cellranger/cellranger-3.0.2/cellranger mkfastq \\ --run ./input.runs.folder/ --samplesheet {input.samplesheet.csv} \\ --id run_id \\ --qc --project MAXL_2019_LIM_organoid_RNAseq \\ --output-dir data/fastq_path/ \\ --jobmode=local --localcores=20 --localmem=50 1> {log} After mkfastq, you end up with each sample’s fastq files from each sequencing lanes: test_sample_S1_L001_I1_001.fastq.gz test_sample_S1_L001_R1_001.fastq.gz test_sample_S1_L001_R2_001.fastq.gz test_sample2_S2_L001_I1_001.fastq.gz test_sample2_S2_L001_R1_001.fastq.gz test_sample2_S2_L001_R2_001.fastq.gz 5.1.3 Illumina bcl2fastq You can also use Illumina’s bcl2fastq tool directly and it is more generally applicable. bcf2fastq converts BCLs to fastqs while optionally demultiplexing sequencing data. Find the documentation of the tool here; training videos may also help to come to grips with using this tool. Figure 2.4: Sample Demultiplexing You will need to supply a SampleSheet.csv file like this: Figure 2.5: SampleSheet.csv file This information should come from your sequencing facilities. Running bcl2fastq can then be done like this: /usr/local/bin/bcl2fastq --runfolder-dir <RunFolder> --output-dir <BaseCalls> The output fastq files are names as SampleName_SampleNumber_Lane_Read_001.fastq.gz same with cellranger mkfastq output. (eg: Sample1_S1_L001_R1_001.fastq.gz) 5.2 FastQC Once you’ve obtained your single-cell RNA-seq data, the first thing you need to do with it is check the quality of the reads you have sequenced. For this task, today we will be using a tool called FastQC. FastQC is a quality control tool for sequencing data, which can be used for both bulk and single-cell RNA-seq data. FastQC takes sequencing data as input and returns a report on read quality. Copy and paste this link into your browser to visit the FastQC website: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ This website contains links to download and install FastQC and documentation on the reports produced. Scroll down the webpage to ‘Example Reports’ and click ‘Good Illumina Data’. This gives an example of what an ideal report should look like for high quality Illumina reads data. Now let’s make a FastQC report ourselves. Today we will be performing our analysis using a single cell from an mESC dataset produced by (Kolodziejczyk et al. 2015). The cells were sequenced using the SMART-seq2 library preparation protocol and the reads are paired end. Note You will have to download the files (both ERR522959_1.fastq and ERR522959_2.fastq) and create Share directory yourself to run the commands. You can find the files here: https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-2600/samples/ Now let’s look at the files: less Share/ERR522959_1.fastq less Share/ERR522959_2.fastq Task 1: Try to work out what command you should use to produce the FastQC report. Hint: Try executing fastqc -h This command will tell you what options are available to pass to FastQC. Feel free to ask for help if you get stuck! If you are successful, you should generate a .zip and a .html file for both the forwards and the reverse reads files. Once you have been successful, feel free to have a go at the next section. 5.2.1 Solution and Downloading the Report If you haven’t done so already, generate the FastQC report using the commands below: mkdir fastqc_results fastqc -o fastqc_results Share/ERR522959_1.fastq Share/ERR522959_2.fastq Once the command has finished executing, you should have a total of four files - one zip file for each of the paired end reads, and one html file for each of the paired end reads. The report is in the html file. To view it, we will need to get it onto your computer using either filezilla or scp. Ask an instructor if you are having difficulties. Once the file is on you computer, click on it. Your FastQC report should open. Have a look through the file. Remember to look at both the forwards and the reverse end read reports! How good quality are the reads? Is there anything we should be concerned about? How might we address those concerns? 5.2.2 10X fastq qualities checks If you have generated the fastq files from cellranger mkfastq as we discussed before, you can get a list of quality metrics from the output files. First thing to look at will be qc_summary.json file which contains lines like this: "sample_qc": { "Sample1": { "5": { "barcode_exact_match_ratio": 0.9336158258904611, "barcode_q30_base_ratio": 0.9611993091728814, "bc_on_whitelist": 0.9447542078230667, "mean_barcode_qscore": 37.770630795934, "number_reads": 2748155, "read1_q30_base_ratio": 0.8947676653366835, "read2_q30_base_ratio": 0.7771883245304577 }, "all": { "barcode_exact_match_ratio": 0.9336158258904611, "barcode_q30_base_ratio": 0.9611993091728814, "bc_on_whitelist": 0.9447542078230667, "mean_barcode_qscore": 37.770630795934, "number_reads": 2748155, "read1_q30_base_ratio": 0.8947676653366835, "read2_q30_base_ratio": 0.7771883245304577 } } } 5.3 Trimming Reads Fortunately there is software available for read trimming. Today we will be using Trim Galore!. Trim Galore! is a wrapper for the reads trimming software cutadapt and fastqc. Read trimming software can be used to trim sequencing adapters and/or low quality reads from the ends of reads. Given we noticed there was some adaptor contamination in our FastQC report, it is a good idea to trim adaptors from our data. Task 2: What type of adapters were used in our data? Hint: Look at the FastQC report ‘Adapter Content’ plot. Now let’s try to use Trim Galore! to remove those problematic adapters. It’s a good idea to check read quality again after trimming, so after you have trimmed your reads you should use FastQC to produce another report. Task 3: Work out the command you should use to trim the adapters from our data. Hint 1: You can use the following command to find out what options you can pass to Trim Galore. trim_galore -h _Hint 2:** Read through the output of the above command carefully. The adaptor used in this experiment is quite common. Do you need to know the actual sequence of the adaptor to remove it? Task 3: Produce a FastQC report for your trimmed reads files. Is the adapter contamination gone? Once you think you have successfully trimmed your reads and have confirmed this by checking the FastQC report, feel free to check your results using the next section. 5.3.1 Solution You can use the command(s) below to trim the Nextera sequencing adapters: mkdir fastqc_trimmed_results trim_galore --nextera -o fastqc_trimmed_results Share/ERR522959_1.fastq Share/ERR522959_2.fastq Remember to generate new FastQC reports for your trimmed reads files! FastQC should now show that your reads pass the ‘Adaptor Content’ plot. Feel free to ask one of the instructors if you have any questions. Congratulations! You have now generated reads quality reports and performed adaptor trimming. In the next lab, we will use STAR and Kallisto to align our trimmed and quality-checked reads to a reference transcriptome. 5.4 Fastp Fastp is an ‘all-in-one’ pre-processing tool to run on fastq files which has integrated a lot aspects of quality profiling for both before and after filtering data (quality curves, base contents, KMER, Q20/Q30, GC Ratio, duplication, adapter contents and etc. Example usage: mkdir fastp_results fastp -i Share/ERR522959_1.fastq -I Share/ERR522959_2.fastq \\ -o fastp_results/ERR522959_1.fastp.fastq -O fastp_results/ERR522959_1.fastp.fastq \\ --length_required 20 --average_qual 20 --detect_adapter_for_pe --correction \\ -h fastp_results/ERR522959.html -j fastp_results/ERR522959.json 5.5 Read alignment and gene expression quantification Now we have trimmed our reads and established that they are of good quality, we would like to map them to a reference genome. This process is known as alignment. Some form of alignment is generally required if we want to quantify gene expression or find genes which are differentially expressed between samples. Many tools have been developed for read alignment. STAR (Dobin et al. 2013) is one of most popularly used tools in RNA-seq read alignment. There are a bunch of alignment and gene expression quantification tools that are designed specifically for single-cell RNA-seq data too. Depending on your single-cell RNA-seq protocols used and the datasets generated, you can go with the following two workflows presented here for full-length or tag-based datasets. Thus, today we will focus on two alignment tools: STAR and Kallisto-BUStools, and we will discuss other available tools at the end of this chapter. 5.6 Full-length transcript datasets If your single-cell RNA-seq dataset is from plate-based protocol like Smart-seq2, then your dataset can be aligned and quantifified just like a bulk RNA-seq datasest. Each cell has a proper pair (if it’s paired-end sequncing) of fastq files (there are no CB/UMI tags in the reads). STAR is a good choice for alignment (other good choices could be Subread or Hisat2). 5.6.1 Using STAR to align reads STAR tries to find the longest possible sequence which matches one or more sequences in the reference genome. For example, in the figure below, we have a read (blue) which spans two exons and an alternative splicing junction (purple). STAR finds that the first part of the read is the same as the sequence of the first exon, whilst the second part of the read matches the sequence in the second exon. Because STAR is able to recognise splicing events in this way, it is described as a ‘splice aware’ aligner. Figure 2.3: Diagram of how STAR performs alignments, taken from Dobin et al. Usually STAR aligns reads to a reference genome, potentially allowing it to detect novel splicing events or chromosomal rearrangements. 5.6.2 Expression quantification Now you have your aligned reads in a .bam file for your single cells. The next step is to quantify the expression level of each gene per cell. We can use one of the tools which has been developed for bulk RNA-seq data, e.g. HT-seq or FeatureCounts which do ‘simple’ counting of reads overlapping with genomic features. Here we demostrate an example with featureCounts, that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations. # include multimapping <featureCounts_path>/featureCounts -O -M -Q 30 -p -a hg_annotations.gtf -o outputfile ERR522959.bam # exclude multimapping <featureCounts_path>/featureCounts -Q 30 -p -a hg_annotations.gtf -o outputfile ERR522959.bam Then you will have your read counts gene expression matrix that’s ready for downstream analysis. 5.7 Tag-based datasets If your dataset is tag-based, for example 10X dataset, then you typically have sequences in R1 that entirely encode for read identities such as Cell Barcode and UMI tags. In most cases, all your cell reads (for 1k-10K cells) are in one set of fastq files. Instead of trying to demultiplex all cells into separate fastqs then do alignment and quantification, we can use tools that take care of this for you. In the following steps, we use Kallisto with bustools for generating the gene expression quantification matrix for your tag-based datasets. 5.7.1 Cellranger count If you work with 10X dataset, cellranger count pipeline may just work well for you. It comes with cellranger software suite with convenient features for 10X datasets. It takes the fastqs of a sample, and uses STAR to align all cells’ reads. It also includes reads filtering, barcode counting, and UMI counting. The output of this pipeline includes the aligned.bam file and the quantified gene expression matrix in both filtered and raw format. In V3, it has adopted the EmptyDroplet method (Lun et al., 2018), an algorithm that tries distinguish true cell barcodes from barcodes associated with droplets that did not contain a cell (i.e. empty droplets). (More details in Section 5.9 ). The filtered gene expression matrix by cellranger count V3 only includes the true cell barcodes determined by EmptyDroplet method. 5.7.2 Kallisto/bustools and pseudo-alignment STAR is a reads aligner, whereas Kallisto is a pseudo-aligner (Bray et al. 2016). The main difference between aligners and pseudo-aligners is that whereas aligners map reads to a reference, pseudo-aligners map k-mers to a reference. 5.7.3 What is a k-mer? A k-mer is a sequence of length k derived from a read. For example, imagine we have a read with the sequence ATCCCGGGTTAT and we want to make 7-mers from it. To do this, we would find the first 7-mer by counting the first seven bases of the read. We would find the second 7-mer by moving one base along, then counting the next seven bases. Below shows all the 7-mers that could be derived from our read: ATCCCGGGTTAT ATCCCGG TCCCGGG CCCGGGT CCGGGTT CGGGTTA GGGTTAT 5.7.4 Why map k-mers rather than reads? There are two main reasons: Pseudo-aligners use k-mers and a computational trick to make pseudo-alignment much faster than traditional aligners. If you are interested in how this is acheived, see (Bray et al. 2016) for details. Under some circumstances, pseudo-aligners may be able to cope better with sequencing errors than traditional aligners. For example, imagine there was a sequencing error in the first base of the read above and the A was actually a T. This would impact on the pseudo-aligners ability to map the first 7-mer but none of the following 7-mers. 5.7.5 Kallisto’s pseudo mode Kallisto has a specially designed mode for pseudo-aligning reads from single-cell RNA-seq experiments. Unlike STAR, Kallisto psuedo-aligns to a reference transcriptome rather than a reference genome. This means Kallisto maps reads to splice isoforms rather than genes. Mapping reads to isoforms rather than genes is especially challenging for single-cell RNA-seq for the following reasons: Single-cell RNA-seq is lower coverage than bulk RNA-seq, meaning the total amount of information available from reads is reduced. Many single-cell RNA-seq protocols have 3’ coverage bias, meaning if two isoforms differ only at their 5’ end, it might not be possible to work out which isoform the read came from. Some single-cell RNA-seq protocols have short read lengths, which can also mean it is not possible to work out which isoform the read came from. Kallisto’s pseudo mode takes a slightly different approach to pseudo-alignment. Instead of aligning to isoforms, Kallisto aligns to equivalence classes. Essentially, this means if a read maps to multiple isoforms, Kallisto records the read as mapping to an equivalence class containing all the isoforms it maps to. Figure 2 shows a diagram which helps explain this. Figure 2.4: Overview of kallisto, The input consists of a reference transcriptome and reads from an RNA-seq experiment. (a) An example of a read (in black) and three overlapping transcripts with exonic regions as shown. (b) An index is constructed by creating the transcriptome de Bruijn Graph (T-DBG) where nodes (v1, v2, v3, … ) are k-mers, each transcript corresponds to a colored path as shown and the path cover of the transcriptome induces a k-compatibility class for each k-mer. (c) Conceptually, the k-mers of a read are hashed (black nodes) to find the k-compatibility class of a read. (d) Skipping (black dashed lines) uses the information stored in the T-DBG to skip k-mers that are redundant because they have the same k-compatibility class. (e) The k-compatibility class of the read is determined by taking the intersection of the k-compatibility classes of its constituent k-mers. Taken from Bray et al (2016). Figure 2.5: A diagram explaining Kallisto’s Equivalence Classes, taken from Ntranos et al. Note Instead of using gene or isoform expression estimates in downstream analysis such as clustering, equivalence class counts can be used instead, in this course, we focus on using gene level estimation. 5.7.6 Running kallisto pseudo-alignment and BUStools Today, we will talk about doing single-cell pseudo-alignemnt and gene level quantification with Kallisto|BUStools. See https://pachterlab.github.io/kallisto/manual for details. As for STAR, you will need to produce an index for Kallisto before the pseudo-alignment step. Use the below command to produce the Kallisto index. Use the Kallisto manual (https://pachterlab.github.io/kallisto/manual) to work out what the options do in this command. mkdir indices/Kallisto kallisto index -i indices/Kallisto/GRCm38.idx Share/mouse/Ensembl.GRCm38.96/Mus_musculus.GRCm38.cdna.all.fa.gz In this step, an index is constructed by creating the transcriptome de Bruijn Graph (T-DBG). 5.7.6.1 BUS format BUS is a binary file format designed for UMI-tagged single-cell datasets with pseudo-aligned reads labelled with CB and UMI tags. Figure 2.7: BUS format, taken from Melsted,Páll et al. We do kallisto bus on the fastqs of single cells to generate the BUS file and then use BUStools on the generated bus files to get a gene level quantification. Check the list of technologies supported by Kallisto BUStools by kallisto bus -l Use the below command to perform pseudo-alignment and generate bus files for single-cell sequencing data. -x argument specifies the technology. List of supported single-cell technologies short name description ---------- ----------- 10xv1 10x version 1 chemistry 10xv2 10x version 2 chemistry 10xv3 10x version 3 chemistry CELSeq CEL-Seq CELSeq2 CEL-Seq version 2 DropSeq DropSeq inDrops inDrops SCRBSeq SCRB-Seq SureCell SureCell for ddSEQ mkdir results/Kallisto kallisto bus -i indices/Kallisto/GRCm38.idx -o results/Kallisto/output_bus -x '10xv2' -t 4 \\ SI-GA-G1/W11_S1_L001_R1_001.fastq.gz SI-GA-G1/W11_S1_L001_R2_001.fastq.gz \\ SI-GA-G1/W11_S1_L002_R1_001.fastq.gz SI-GA-G1/W11_S1_L002_R2_001.fastq.gz See https://pachterlab.github.io/kallisto/manual for instructions on creating bus files. 5.7.7 Understanding the Output of Kallisto BUS Pseudo-Alignment The command above should produce 4 files - matrix.ec, transcripts.txt, run_info.json and output.bus transcripts.txt contains a list of transcript, in the same order as in the transcriptome fasta file. matrix.ec contains information about the equivalence classes used. The first number in each row is the equivalence class ID. The second number(s) correspond to the transcript ID(s) in that equivalence class. For example “10 1,2,3†would mean that equivalence class 10 contains transcript IDs 1,2 and 3. The ID numbers correspond to the order that the transcripts appear in transcripts.txt. Zero indexing is used, meaning transcript IDs 1,2 and 3 correspond to the second, third and fourth transcripts in transcripts.txt. output.bus contains the binary formated Cell Barcode and UMI tags and Sets of equivalent classes of transcripts obtained by pseudoalignment.(The fourth column is count of reads with this barcode, UMI, and equivalence class combination, which is ignored as one UMI should stand for one molecule.) run_info.json contains information about how Kallisto was executed and can be ignored. 5.7.8 Running Bustools Inputs: transcripts_to_genes.tsv: a tab delimited file of a specific format: No headers, first column is transcript ID, and second column is the corresponding gene ID. Transcript IDs must be in the same order as in the kallisto index. barcode whitelist: A whitelist that contains all the barcodes known to be present in the kit is provided by 10x and comes with CellRanger. First, bustools runs barcode error correction on the bus file. Then, the corrected bus file is sorted by barcode, UMI, and equivalence classes. After that the UMIs are counted and the counts are collapsed to the gene level. mkdir ./output/out_bustools/genecount ./tmp bustools correct -w ./data/whitelist_v2.txt -p ./output/out_bustools/output.bus | \\ bustools sort -T tmp/ -t 4 -p - | \\ bustools count -o ./output/out_bustools/genecount/genes -g ./output/tr2g_hgmm.tsv \\ -e ./output/out_bustools/matrix.ec -t ./output/out_bustools/transcripts.txt --genecounts - The output includes: genes.barcodes.txt genes.genes.txt genes.mtx 5.7.9 Other alignment and quantification tools available Alevin Alevin is a tool for 10X and Drop-seq data that comes with Salmon which is also a ‘pseudo-aligner’ for transcriptome quantification. Salmon is conceptually simiarly to Kallisto but uses different models for parameter estimation and account for sequence (3’ 5’-end and Fragment GC) bias correction. STARsolo STARsolo is integrated with STAR. It does mapping, demultiplexing and gene quantiï¬cation for droplet-based single-cell RNA-seq (eg. 10X genomics). It follows a similar logic as Cellranger count pipeline which does error correction, UMI deduplication and then quantify expression per gene for each cell by counting reads with different UMIs mapped per gene. STARsolo is potentially ten times faster than Cellranger count. If you are interested, here is a paper by Páll et al that compares performance of workflows in single-cell RNA-seq preprocessing. (https://www.biorxiv.org/content/10.1101/673285v2.full). 5.7.10 Summary Full-transcripts dataset: STAR -> featureCounts Tag-based dataset: Kallisto bus -> Bustools 5.8 Practise 5.8.1 Using STAR One issue with STAR is that it needs a lot of RAM, especially if your reference genome is large (eg. mouse and human). To speed up our analysis today, we will use STAR to align reads to a reference genome. Two steps are required to perform STAR alignment. In the first step, the user provides STAR with reference genome sequences (FASTA) and annotations (GTF), which STAR uses to create a genome index. In the second step, STAR maps the user’s reads data to the genome index. Let’s create the index now. You can obtain genomes for many model organisms from Ensembl (https://www.ensembl.org/info/data/ftp/index.html**. Task 1: Execute the commands below to create the index: mkdir indices mkdir indices/STAR STAR --runThreadN 4 --runMode genomeGenerate --genomeDir indices/STAR --genomeFastaFiles Share/hg19.fa --sjdbGTFfile Share/hg_annotations.gtf Task 2: What does each of the options we used do? Hint: Use the STAR manual to help you (https://github.com/alexdobin/STAR/blob/master/doc/STARmanual.pdf** Task 3: How would the command we used in Task 1 be different if we were aligning to the genome rather than the transcriptome? Now that we have created the index, we can perform the mapping step. Task 4: Try to work out what command you should use to map our trimmed reads (from ERR522959** to the index you created. Use the STAR manual to help you. One you think you know the answer, check whether it matches the solution in the next section and execute the alignment. Task 5: Try to understand the output of your alignment. Talk to one of the instructors if you need help! 5.8.2 Solution for STAR Alignment You can use the folowing commands to perform the mapping step: mkdir results mkdir results/STAR STAR --runThreadN 4 --genomeDir indices/STAR --readFilesIn Share/ERR522959_1.fastq Share/ERR522959_2.fastq \\ --outFileNamePrefix results/STAR/ERR522959 5.9 Identifying cell-containing droplets/microwells For droplet based methods only a fraction of droplets contain both beads and an intact cell. However, biology experiments are messy and some RNA will leak out of dead/damaged cells. So droplets without an intact cell are likely to capture a small amount of the ambient RNA which will end up in the sequencing library and contribute a reads to the final sequencing output. The variation in droplet size, amplification efficiency, and sequencing will lead both “background†and real cells to have a wide range of library sizes. Various approaches have been used to try to distinguish those cell barcodes which correspond to real cells. 5.9.1 ‘Knee’ point One of the most used methods use the total molecules (could be applied to total reads) per barcode and try to find a “break point†between bigger libraries which are cells + some background and smaller libraries assumed to be purely background. Let’s load some example simulated data which contain both large and small cells: umi_per_barcode <- read.table("data/droplet_id_example_per_barcode.txt.gz") truth <- read.delim("data/droplet_id_example_truth.gz", sep=",") Exercise How many unique barcodes were detected? How many true cells are present in the data? To simplify calculations for this section exclude all barcodes with fewer than 10 total molecules. Answer One approach is to look for the inflection point where the total molecules per barcode suddenly drops: barcode_rank <- rank(-umi_per_barcode[,2]) plot(barcode_rank, umi_per_barcode[,2], xlim=c(1,8000)) Here we can see an roughly exponential curve of library sizes, so to make things simpler lets log-transform them. log_lib_size <- log10(umi_per_barcode[,2]) plot(barcode_rank, log_lib_size, xlim=c(1,8000)) That’s better, the “knee†in the distribution is much more pronounced. We could manually estimate where the “knee†is but it much more reproducible to algorithmically identify this point. # inflection point o <- order(barcode_rank) log_lib_size <- log_lib_size[o] barcode_rank <- barcode_rank[o] rawdiff <- diff(log_lib_size)/diff(barcode_rank) inflection <- which(rawdiff == min(rawdiff[100:length(rawdiff)], na.rm=TRUE)) plot(barcode_rank, log_lib_size, xlim=c(1,8000)) abline(v=inflection, col="red", lwd=2) threshold <- 10^log_lib_size[inflection] cells <- umi_per_barcode[umi_per_barcode[,2] > threshold,1] TPR <- sum(cells %in% truth[,1])/length(cells) Recall <- sum(cells %in% truth[,1])/length(truth[,1]) c(TPR, Recall) ## [1] 1.0000000 0.7831707 5.9.2 Mixture model Another is to fix a mixture model and find where the higher and lower distributions intersect. However, data may not fit the assumed distributions very well: set.seed(-92497) # mixture model require("mixtools") ## Loading required package: mixtools ## mixtools package, version 1.1.0, Released 2017-03-10 ## This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772. mix <- normalmixEM(log_lib_size) ## number of iterations= 43 plot(mix, which=2, xlab2="log(mol per cell)") p1 <- dnorm(log_lib_size, mean=mix$mu[1], sd=mix$sigma[1]) p2 <- dnorm(log_lib_size, mean=mix$mu[2], sd=mix$sigma[2]) if (mix$mu[1] < mix$mu[2]) { split <- min(log_lib_size[p2 > p1]) } else { split <- min(log_lib_size[p1 > p2]) } Exercise Identify cells using this split point and calculate the TPR and Recall. Answer 5.9.3 Expected Number of Cells A third method used by CellRanger V2, assumes a ~10-fold range of library sizes for real cells and estimates this range using the expected number of cells. n_cells <- length(truth[,1]) # CellRanger v2 totals <- umi_per_barcode[,2] totals <- sort(totals, decreasing = TRUE) # 99th percentile of top n_cells divided by 10 thresh = totals[round(0.01*n_cells)]/10 plot(totals, xlim=c(1,8000)) abline(h=thresh, col="red", lwd=2) Exercise Identify cells using this threshodl and calculate the TPR and Recall. Answer 5.9.4 EmptyDroplets Finally (EmptyDrops)[https://github.com/MarioniLab/DropletUtils] is what we recommend using in calling cell barcodes for droplet-based single-cell datasets. It should be noted that in cellranger count v3, EmptyDroptlet algoritms has been applied in their filtering for true cell barcode step. Instead of trying to find a ‘threshold’ in UMIs counts for determining true cells, EmptyDroplet uses the full genes x cells molecule count matrix for all droplets and estimates the profile of “background†RNA from those droplets with extremely low counts, then looks for cells with gene-expression profiles which differ from the background. This is combined with an inflection point method since background RNA often looks very similar to the expression profile of the largests cells in a population. As such EmptyDrops is the only method able to identify barcodes for very small cells in highly diverse samples. Below we have provided code for how this method is currently run: library("Matrix") raw.counts <- readRDS("data/pancreas/muraro.rds") library("DropletUtils") example(write10xCounts, echo=FALSE) dir.name <- tmpdir list.files(dir.name) sce <- read10xCounts(dir.name) sce my.counts <- DropletUtils:::simCounts() br.out <- barcodeRanks(my.counts) # Making a plot. plot(br.out$rank, br.out$total, log="xy", xlab="Rank", ylab="Total") o <- order(br.out$rank) lines(br.out$rank[o], br.out$fitted[o], col="red") abline(h=metadata(br.out)$knee, col="dodgerblue", lty=2) abline(h=metadata(br.out)$inflection, col="forestgreen", lty=2) legend("bottomleft", lty=2, col=c("dodgerblue", "forestgreen"), legend=c("knee", "inflection")) # emptyDrops set.seed(100) e.out <- emptyDrops(my.counts) is.cell <- e.out$FDR <= 0.01 sum(is.cell, na.rm=TRUE) plot(e.out$Total, -e.out$LogProb, col=ifelse(is.cell, "red", "black"), xlab="Total UMI count", ylab="-Log Probability") # plot(e.out$Total, -e.out$LogProb, col=ifelse(is.cell, "red", "black"), # xlab="Total UMI count", ylab="-Log Probability") # # cells <- colnames(raw.counts)[is.cell] # # TPR <- sum(cells %in% truth[,1])/length(cells) # Recall <- sum(cells %in% truth[,1])/length(truth[,1]) # c(TPR, Recall) References "],
-["quality-control-and-data-visualisation.html", "6 Quality control and data visualisation 6.1 Expression QC overview (UMI) 6.2 Cell QC 6.3 Doublet detection 6.4 Gene QC 6.5 Exercise: Expression QC (Reads) 6.6 Data visualization and exploratory data analysis 6.7 Exercise: Data visualization (Reads)", " 6 Quality control and data visualisation The principle of garbage in, garbage out is at least as strong in single-cell genomics as it is elsewere in science. Effective quality control (QC) is crucial to high-quality scRNA-seq data analysis. We discuss principles and strategies for QC in this chapter, along with some discussion and demonstration of data visualisation approaches. 6.1 Expression QC overview (UMI) 6.1.1 Introduction Once gene expression has been quantified it is summarized as an expression matrix where each row corresponds to a gene (or transcript) and each column corresponds to a single cell. This matrix should be examined to remove poor quality cells which were not detected in either read QC or mapping QC steps. Failure to remove low quality cells at this stage may add technical noise which has the potential to obscure the biological signals of interest in the downstream analysis. Since there is currently no standard method for performing scRNASeq the expected values for the various QC measures that will be presented here can vary substantially from experiment to experiment. Thus, to perform QC we will be looking for cells which are outliers with respect to the rest of the dataset rather than comparing to independent quality standards. Consequently, care should be taken when comparing quality metrics across datasets collected using different protocols. 6.1.2 Tung dataset To illustrate cell QC, we consider a dataset of induced pluripotent stem cells generated from three different individuals (Tung et al. 2017) in Yoav Gilad’s lab at the University of Chicago. The experiments were carried out on the Fluidigm C1 platform and to facilitate the quantification both unique molecular identifiers (UMIs) and ERCC spike-ins were used. The data files are located in the tung folder in your working directory. These files are the copies of the original files made on the 15/03/16. We will use these copies for reproducibility purposes. library(SingleCellExperiment) library(scater) options(stringsAsFactors = FALSE) Load the data and annotations: molecules <- read.table("data/tung/molecules.txt", sep = "\\t") anno <- read.table("data/tung/annotation.txt", sep = "\\t", header = TRUE) Inspect a small portion of the expression matrix head(molecules[ , 1:3]) ## NA19098.r1.A01 NA19098.r1.A02 NA19098.r1.A03 ## ENSG00000237683 0 0 0 ## ENSG00000187634 0 0 0 ## ENSG00000188976 3 6 1 ## ENSG00000187961 0 0 0 ## ENSG00000187583 0 0 0 ## ENSG00000187642 0 0 0 head(anno) ## individual replicate well batch sample_id ## 1 NA19098 r1 A01 NA19098.r1 NA19098.r1.A01 ## 2 NA19098 r1 A02 NA19098.r1 NA19098.r1.A02 ## 3 NA19098 r1 A03 NA19098.r1 NA19098.r1.A03 ## 4 NA19098 r1 A04 NA19098.r1 NA19098.r1.A04 ## 5 NA19098 r1 A05 NA19098.r1 NA19098.r1.A05 ## 6 NA19098 r1 A06 NA19098.r1 NA19098.r1.A06 The data consists of 3 individuals and r length(unique(anno$replicate)) replicates and therefore has r length(unique(anno$batch)) batches in total. We standardize the analysis by using both SingleCellExperiment (SCE) and scater packages. First, create the SCE object: umi <- SingleCellExperiment( assays = list(counts = as.matrix(molecules)), colData = anno ) Remove genes that are not expressed in any cell: keep_feature <- rowSums(counts(umi) > 0) > 0 umi <- umi[keep_feature, ] Define control features (genes) - ERCC spike-ins and mitochondrial genes (provided by the authors): isSpike(umi, "ERCC") <- grepl("^ERCC-", rownames(umi)) isSpike(umi, "MT") <- rownames(umi) %in% c("ENSG00000198899", "ENSG00000198727", "ENSG00000198888", "ENSG00000198886", "ENSG00000212907", "ENSG00000198786", "ENSG00000198695", "ENSG00000198712", "ENSG00000198804", "ENSG00000198763", "ENSG00000228253", "ENSG00000198938", "ENSG00000198840") Calculate the quality metrics: umi <- calculateQCMetrics( umi, feature_controls = list( ERCC = isSpike(umi, "ERCC"), MT = isSpike(umi, "MT") ) ) ## Warning in calculateQCMetrics(umi, feature_controls = list(ERCC = ## isSpike(umi, : spike-in set 'ERCC' overwritten by feature_controls set of ## the same name 6.2 Cell QC 6.2.1 Library size Next we consider the total number of RNA molecules detected per sample (if we were using read counts rather than UMI counts this would be the total number of reads). Wells with few reads/molecules are likely to have been broken or failed to capture a cell, and should thus be removed. hist( umi$total_counts, breaks = 100 ) abline(v = 25000, col = "red") Figure 6.1: Histogram of library sizes for all cells Exercise 1 How many cells does our filter remove? What distribution do you expect that the total number of molecules for each cell should follow? Our answer ## filter_by_total_counts ## FALSE TRUE ## 46 818 6.2.2 Detected genes In addition to ensuring sufficient sequencing depth for each sample, we also want to make sure that the reads are distributed across the transcriptome. Thus, we count the total number of unique genes detected in each sample. hist( umi$total_features_by_counts, breaks = 100 ) abline(v = 7000, col = "red") Figure 6.2: Histogram of the number of detected genes in all cells From the plot we conclude that most cells have between 7,000-10,000 detected genes, which is normal for high-depth scRNA-seq. However, this varies by experimental protocol and sequencing depth. For example, droplet-based methods or samples with lower sequencing-depth typically detect fewer genes per cell. The most notable feature in the above plot is the “heavy tail†on the left hand side of the distribution. If detection rates were equal across the cells then the distribution should be approximately normal. Thus we remove those cells in the tail of the distribution (fewer than 7,000 detected genes). Exercise 2 How many cells does our filter remove? Our answer ## filter_by_expr_features ## FALSE TRUE ## 116 748 6.2.3 ERCCs and MTs Another measure of cell quality is the ratio between ERCC spike-in RNAs and endogenous RNAs. This ratio can be used to estimate the total amount of RNA in the captured cells. Cells with a high level of spike-in RNAs had low starting amounts of RNA, likely due to the cell being dead or stressed which may result in the RNA being degraded. plotColData( umi, x = "total_features_by_counts", y = "pct_counts_MT", colour = "batch" ) Figure 6.3: Percentage of counts in MT genes plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "batch" ) Figure 6.4: Percentage of counts in ERCCs The above analysis shows that majority of the cells from NA19098.r2 batch have a very high ERCC/Endo ratio. Indeed, it has been shown by the authors that this batch contains cells of smaller size. Exercise 3 Create filters for removing batch NA19098.r2 and cells with high expression of mitochondrial genes (>10% of total counts in a cell). Our answer ## filter_by_ERCC ## FALSE TRUE ## 96 768 ## filter_by_MT ## FALSE TRUE ## 31 833 Exercise 4 What would you expect to see in the ERCC vs counts plot if you were examining a dataset containing cells of different sizes (eg. normal & senescent cells)? Answer You would expect to see a group corresponding to the smaller cells (normal) with a higher fraction of ERCC reads than a separate group corresponding to the larger cells (senescent). 6.2.4 Cell filtering 6.2.4.1 Manual Now we can define a cell filter based on our previous analysis: umi$use <- ( # sufficient features (genes) filter_by_expr_features & # sufficient molecules counted filter_by_total_counts & # sufficient endogenous RNA filter_by_ERCC & # remove cells with unusual number of reads in MT genes filter_by_MT ) table(umi$use) ## ## FALSE TRUE ## 207 657 6.2.4.2 Automatic Another option available in scater is to conduct PCA on a set of QC metrics and then use automatic outlier detection to identify potentially problematic cells. By default, the following metrics are used for PCA-based outlier detection: pct_counts_top_100_features total_features pct_counts_feature_controls n_detected_feature_controls log10_counts_endogenous_features log10_counts_feature_controls scater first creates a matrix where the rows represent cells and the columns represent the different QC metrics. Then, outlier cells can also be identified by using the mvoutlier package on the QC metrics for all cells. This will identify cells that have substantially different QC metrics from the others, possibly corresponding to low-quality cells. We can visualize any outliers using a principal components plot as shown below: umi <- runPCA( umi, use_coldata = TRUE, detect_outliers = TRUE ) reducedDimNames(umi) ## [1] "PCA_coldata" Column subsetting can then be performed based on the $outlier slot, which indicates whether or not each cell has been designated as an outlier. Automatic outlier detection can be informative, but a close inspection of QC metrics and tailored filtering for the specifics of the dataset at hand is strongly recommended. table(umi$outlier) ## ## FALSE TRUE ## 791 73 Then, we can use a PCA plot to see a 2D representation of the cells ordered by their quality metrics. plotReducedDim( umi, use_dimred = "PCA_coldata", size_by = "total_features_by_counts", shape_by = "use", colour_by = "outlier" ) 6.2.5 Compare filterings Exercise 5 Compare the default, automatic and manual cell filters. Plot a Venn diagram of the outlier cells from these filterings. Hint: Use vennCounts and vennDiagram functions from the limma package to make a Venn diagram. Answer library(limma) auto <- colnames(umi)[umi$outlier] man <- colnames(umi)[!umi$use] venn.diag <- vennCounts( cbind(colnames(umi) %in% auto, colnames(umi) %in% man) ) vennDiagram( venn.diag, names = c("Automatic", "Manual"), circle.col = c("blue", "green") ) Figure 6.5: Comparison of the default, automatic and manual cell filters 6.3 Doublet detection For droplet-based datasets, there is chance that multiple cells are enclosed in one droplet resulting one cell barcode actually containing read information from multiple cells. One way to find doublets/multiplets in the data is to see if there are cells co-expressing markers of distinct cell types. There are also computational tools available for detecting potential doublets in the cells. A lot of these tools rely on artificial doublets formed from the datasets by randomly joining the expression profiles of two cells. Then the cells are tested against the artificial doublet profiles. We demonstrate the usage of two of these doublet detection tools. 6.3.1 scds scds(???) has two detection methods: co-expression based; binary-classification based. In co-expression based approach, the gene-pairs’ co-expression probablities are estimated based on a binomial model and gene pairs that do not co-expression often get higher scores when they co-expression in some cells. The cells’ doublet scores are derived based on the co-expression of pairs of genes. In the binary classification based approach, artificial doublet clusters are generated and cells are difficult to separate from the artificial doublets get higher doublet scores. library(scds) #- Annotate doublet using co-expression based doublet scoring: umi = cxds(umi) #- Annotate doublet using binary classification based doublet scoring: umi = bcds(umi) ## [1] train-error:0.056712+0.006782 test-error:0.090820+0.022608 ## Multiple eval metrics are present. Will use test_error for early stopping. ## Will train until test_error hasn't improved in 2 rounds. ## ## [2] train-error:0.042102+0.002537 test-error:0.084458+0.011641 ## [3] train-error:0.031539+0.002448 test-error:0.071155+0.009566 ## [4] train-error:0.029224+0.001912 test-error:0.072279+0.017508 ## [5] train-error:0.024595+0.002624 test-error:0.066512+0.016282 ## [6] train-error:0.021412+0.001913 test-error:0.063073+0.009557 ## [7] train-error:0.018373+0.002762 test-error:0.056687+0.016847 ## [8] train-error:0.016636+0.004358 test-error:0.052079+0.011572 ## [9] train-error:0.014466+0.002777 test-error:0.051499+0.008444 ## [10] train-error:0.012731+0.001173 test-error:0.048021+0.010077 ## [11] train-error:0.012586+0.001800 test-error:0.046292+0.011280 ## [12] train-error:0.009692+0.002442 test-error:0.045707+0.009178 ## [13] train-error:0.007957+0.002586 test-error:0.043398+0.007749 ## [14] train-error:0.007378+0.002521 test-error:0.043393+0.009114 ## [15] train-error:0.007668+0.002402 test-error:0.043398+0.008171 ## [16] train-error:0.006944+0.002024 test-error:0.041084+0.009753 ## [17] train-error:0.004919+0.002115 test-error:0.038186+0.008825 ## [18] train-error:0.004774+0.002024 test-error:0.038761+0.008839 ## [19] train-error:0.003906+0.001863 test-error:0.037021+0.008974 ## [20] train-error:0.003038+0.001674 test-error:0.036447+0.008460 ## [21] train-error:0.002604+0.001084 test-error:0.037606+0.009120 ## [22] train-error:0.002604+0.000982 test-error:0.038181+0.010044 ## Stopping. Best iteration: ## [20] train-error:0.003038+0.001674 test-error:0.036447+0.008460 ## ## [1] train-error:0.065972 ## Will train until train_error hasn't improved in 2 rounds. ## ## [2] train-error:0.046875 ## [3] train-error:0.030671 ## [4] train-error:0.028356 ## [5] train-error:0.022569 ## [6] train-error:0.021412 ## [7] train-error:0.019676 ## [8] train-error:0.018519 ## [9] train-error:0.016204 ## [10] train-error:0.013310 ## [11] train-error:0.011574 ## [12] train-error:0.009838 ## [13] train-error:0.008102 #- Combine both annotations into a hybrid annotation umi = cxds_bcds_hybrid(umi) #- Doublet scores are now available via colData: CD = colData(umi) head(cbind(CD$cxds_score,CD$bcds_score, CD$hybrid_score)) ## [,1] [,2] [,3] ## NA19098.r1.A01 4131.405 0.013268524 0.2493021 ## NA19098.r1.A02 4564.089 0.006372486 0.2676119 ## NA19098.r1.A03 2827.904 0.002598290 0.1619169 ## NA19098.r1.A04 4708.213 0.013077467 0.2829361 ## NA19098.r1.A05 6134.590 0.005533409 0.3588618 ## NA19098.r1.A06 5810.730 0.006969100 0.3413388 plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "hybrid_score" ) The scds paper features excellent descriptions and evaluations of other currently-available doublet detection methods. 6.3.2 DoubletDetection DoubletDetection is a python module that runs on raw UMI counts data. It generates artificial doublets and then perform cell clustering using the augmented dataset. Cells cluster closely to the artificial doublets across multiple iterations are predicted to be doublets. We provided the python scripts for running DoubletDetection on Tung datasets at ./mig_2019_scrnaseq-workshop/course_files/utils/run_doubletDetection.py python run_doubletDetection.py Here is the prediction results by DoubletDetection: require(UpSetR) ## Loading required package: UpSetR pred_tung <- read.delim(file = "data/doublets/tung.dbls.txt", header = FALSE) dim(pred_tung) ## [1] 864 1 dim(anno) ## [1] 864 5 umi$dbd_dbl <- factor(pred_tung$V1) qc_label <- read.delim(file = "data/qc_ipsc.txt") head(qc_label) ## individual replicate well cell_number concentration tra1.60 ## 1 NA19098 r1 A01 1 1.734785 1 ## 2 NA19098 r1 A02 1 1.723038 1 ## 3 NA19098 r1 A03 1 1.512786 1 ## 4 NA19098 r1 A04 1 1.347492 1 ## 5 NA19098 r1 A05 1 2.313047 1 ## 6 NA19098 r1 A06 1 2.056803 1 qc_label$sample_id <- paste0(qc_label$individual,".",qc_label$replicate,".",qc_label$well) rownames(qc_label) <- qc_label$sample_id umi$cell_number <- as.character(qc_label[umi$sample_id,"cell_number"]) umi$cell_number[qc_label$cell_number==0] <- "no_cell" umi$cell_number[qc_label$cell_number == 1] <- "single_cell" umi$cell_number[qc_label$cell_number>1] <- "multi_cell" multiplot(plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "hybrid_score" ), plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "dbd_dbl" ), plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "cell_number" ),cols =2) doublets <- unique(umi$sample_id[umi$dbd_dbl =="1"], umi$sample_id[umi$hybrid_score > 0.8]) pl_list <- UpSetR::fromList(list(pred = doublets,qc_label = qc_label$sample_id[qc_label$cell_number >1])) UpSetR::upset(pl_list,sets = c("pred","qc_label")) 6.3.2.1 Other tools available: DoubletFinder DoubletCells as part of SimpleSingleCell Scrublet 6.4 Gene QC 6.4.1 Gene expression In addition to removing cells with poor quality, it is usually a good idea to exclude genes where we suspect that technical artefacts may have skewed the results. Moreover, inspection of the gene expression profiles may provide insights about how the experimental procedures could be improved. It is often instructive to consider the number of reads consumed by the top 50 expressed genes. plotHighestExprs(umi, exprs_values = "counts") Figure 6.6: Number of total counts consumed by the top 50 expressed genes The distributions are relatively flat indicating (but not guaranteeing!) good coverage of the full transcriptome of these cells. However, there are several spike-ins in the top 15 genes which suggests a greater dilution of the spike-ins may be preferrable if the experiment is to be repeated. 6.4.2 Gene filtering It is typically a good idea to remove genes whose expression level is considered “undetectableâ€. We define a gene as detectable if at least two cells contain more than 1 transcript from the gene. If we were considering read counts rather than UMI counts a reasonable threshold is to require at least five reads in at least two cells. However, in both cases the threshold strongly depends on the sequencing depth. It is important to keep in mind that genes must be filtered after cell filtering since some genes may only be detected in poor quality cells (note colData(umi)$use filter applied to the umi dataset). keep_feature <- nexprs( umi[,colData(umi)$use], byrow = TRUE, detection_limit = 1 ) >= 2 rowData(umi)$use <- keep_feature table(keep_feature) ## keep_feature ## FALSE TRUE ## 4660 14066 Depending on the cell-type, protocol and sequencing depth, other cut-offs may be appropriate. 6.4.3 Save the data Dimensions of the QCed dataset (do not forget about the gene filter we defined above): dim(umi[rowData(umi)$use, colData(umi)$use]) ## [1] 14066 657 Let’s create an additional slot with log-transformed counts (we will need it in the next chapters) and remove saved PCA results from the reducedDim slot: assay(umi, "logcounts_raw") <- log2(counts(umi) + 1) reducedDim(umi) <- NULL Save the data: saveRDS(umi, file = "data/tung/umi.rds") 6.4.4 Big Exercise Perform exactly the same QC analysis with read counts of the same Blischak data. Use tung/reads.txt file to load the reads. Once you have finished please compare your results to ours (next chapter). 6.4.5 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] UpSetR_1.4.0 scds_1.0.0 ## [3] limma_3.40.6 scater_1.12.2 ## [5] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [7] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [9] BiocParallel_1.18.1 matrixStats_0.55.0 ## [11] Biobase_2.44.0 GenomicRanges_1.36.1 ## [13] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [15] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] ggbeeswarm_0.6.0 colorspace_1.4-1 ## [3] mvoutlier_2.0.9 class_7.3-15 ## [5] modeltools_0.2-22 rio_0.5.16 ## [7] mclust_5.4.5 XVector_0.24.0 ## [9] pls_2.7-1 BiocNeighbors_1.2.0 ## [11] cvTools_0.3.2 flexmix_2.3-15 ## [13] mvtnorm_1.0-11 ranger_0.11.2 ## [15] splines_3.6.0 sROC_0.1-2 ## [17] robustbase_0.93-5 knitr_1.25 ## [19] zeallot_0.1.0 robCompositions_2.1.0 ## [21] kernlab_0.9-27 cluster_2.1.0 ## [23] rrcov_1.4-7 compiler_3.6.0 ## [25] backports_1.1.4 assertthat_0.2.1 ## [27] Matrix_1.2-17 lazyeval_0.2.2 ## [29] BiocSingular_1.0.0 htmltools_0.3.6 ## [31] tools_3.6.0 rsvd_1.0.2 ## [33] gtable_0.3.0 glue_1.3.1 ## [35] GenomeInfoDbData_1.2.1 dplyr_0.8.3 ## [37] Rcpp_1.0.2 carData_3.0-2 ## [39] cellranger_1.1.0 zCompositions_1.3.2-1 ## [41] vctrs_0.2.0 sgeostat_1.0-27 ## [43] fpc_2.2-3 DelayedMatrixStats_1.6.1 ## [45] lmtest_0.9-37 xfun_0.9 ## [47] laeken_0.5.0 stringr_1.4.0 ## [49] openxlsx_4.1.0.1 lifecycle_0.1.0 ## [51] irlba_2.3.3 DEoptimR_1.0-8 ## [53] zlibbioc_1.30.0 MASS_7.3-51.1 ## [55] zoo_1.8-6 scales_1.0.0 ## [57] VIM_4.8.0 hms_0.5.1 ## [59] RColorBrewer_1.1-2 yaml_2.2.0 ## [61] curl_4.2 NADA_1.6-1 ## [63] gridExtra_2.3 reshape_0.8.8 ## [65] stringi_1.4.3 highr_0.8 ## [67] pcaPP_1.9-73 e1071_1.7-2 ## [69] boot_1.3-20 zip_2.0.4 ## [71] truncnorm_1.0-8 rlang_0.4.0 ## [73] pkgconfig_2.0.3 prabclus_2.3-1 ## [75] bitops_1.0-6 evaluate_0.14 ## [77] lattice_0.20-38 purrr_0.3.2 ## [79] labeling_0.3 cowplot_1.0.0 ## [81] tidyselect_0.2.5 GGally_1.4.0 ## [83] plyr_1.8.4 magrittr_1.5 ## [85] bookdown_0.13 R6_2.4.0 ## [87] pillar_1.4.2 haven_2.1.1 ## [89] foreign_0.8-70 withr_2.1.2 ## [91] survival_2.43-3 abind_1.4-5 ## [93] RCurl_1.95-4.12 sp_1.3-1 ## [95] nnet_7.3-12 tibble_2.1.3 ## [97] crayon_1.3.4 car_3.0-3 ## [99] xgboost_0.90.0.2 rmarkdown_1.15 ## [101] viridis_0.5.1 grid_3.6.0 ## [103] readxl_1.3.1 data.table_1.12.2 ## [105] forcats_0.4.0 diptest_0.75-7 ## [107] vcd_1.4-4 digest_0.6.21 ## [109] tidyr_1.0.0 munsell_0.5.0 ## [111] beeswarm_0.2.3 viridisLite_0.3.0 ## [113] vipor_0.4.5 6.5 Exercise: Expression QC (Reads) library(SingleCellExperiment) library(scater) options(stringsAsFactors = FALSE) reads <- read.table("data/tung/reads.txt", sep = "\\t") anno <- read.table("data/tung/annotation.txt", sep = "\\t", header = TRUE) head(reads[ , 1:3]) ## NA19098.r1.A01 NA19098.r1.A02 NA19098.r1.A03 ## ENSG00000237683 0 0 0 ## ENSG00000187634 0 0 0 ## ENSG00000188976 57 140 1 ## ENSG00000187961 0 0 0 ## ENSG00000187583 0 0 0 ## ENSG00000187642 0 0 0 head(anno) ## individual replicate well batch sample_id ## 1 NA19098 r1 A01 NA19098.r1 NA19098.r1.A01 ## 2 NA19098 r1 A02 NA19098.r1 NA19098.r1.A02 ## 3 NA19098 r1 A03 NA19098.r1 NA19098.r1.A03 ## 4 NA19098 r1 A04 NA19098.r1 NA19098.r1.A04 ## 5 NA19098 r1 A05 NA19098.r1 NA19098.r1.A05 ## 6 NA19098 r1 A06 NA19098.r1 NA19098.r1.A06 reads <- SingleCellExperiment( assays = list(counts = as.matrix(reads)), colData = anno ) keep_feature <- rowSums(counts(reads) > 0) > 0 reads <- reads[keep_feature, ] isSpike(reads, "ERCC") <- grepl("^ERCC-", rownames(reads)) isSpike(reads, "MT") <- rownames(reads) %in% c("ENSG00000198899", "ENSG00000198727", "ENSG00000198888", "ENSG00000198886", "ENSG00000212907", "ENSG00000198786", "ENSG00000198695", "ENSG00000198712", "ENSG00000198804", "ENSG00000198763", "ENSG00000228253", "ENSG00000198938", "ENSG00000198840") reads <- calculateQCMetrics( reads, feature_controls = list( ERCC = isSpike(reads, "ERCC"), MT = isSpike(reads, "MT") ) ) ## Warning in calculateQCMetrics(reads, feature_controls = list(ERCC = ## isSpike(reads, : spike-in set 'ERCC' overwritten by feature_controls set of ## the same name hist( reads$total_counts, breaks = 100 ) abline(v = 1.3e6, col = "red") Figure 6.7: Histogram of library sizes for all cells filter_by_total_counts <- (reads$total_counts > 1.3e6) table(filter_by_total_counts) ## filter_by_total_counts ## FALSE TRUE ## 180 684 hist( reads$total_features_by_counts, breaks = 100 ) abline(v = 7000, col = "red") Figure 6.8: Histogram of the number of detected genes in all cells filter_by_expr_features <- (reads$total_features_by_counts > 7000) table(filter_by_expr_features) ## filter_by_expr_features ## FALSE TRUE ## 116 748 plotColData( reads, x = "total_features_by_counts", y = "pct_counts_MT", colour = "batch" ) Figure 6.9: Percentage of counts in MT genes plotColData( reads, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "batch" ) Figure 6.10: Percentage of counts in ERCCs filter_by_ERCC <- reads$batch != "NA19098.r2" & reads$pct_counts_ERCC < 25 table(filter_by_ERCC) ## filter_by_ERCC ## FALSE TRUE ## 103 761 filter_by_MT <- reads$pct_counts_MT < 30 table(filter_by_MT) ## filter_by_MT ## FALSE TRUE ## 18 846 reads$use <- ( # sufficient features (genes) filter_by_expr_features & # sufficient molecules counted filter_by_total_counts & # sufficient endogenous RNA filter_by_ERCC & # remove cells with unusual number of reads in MT genes filter_by_MT ) table(reads$use) ## ## FALSE TRUE ## 258 606 reads <- runPCA( reads, use_coldata = TRUE, detect_outliers = TRUE ) reducedDimNames(reads) ## [1] "PCA_coldata" table(reads$outlier) ## ## FALSE TRUE ## 753 111 plotReducedDim( reads, use_dimred = "PCA_coldata", size_by = "total_features_by_counts", shape_by = "use", colour_by = "outlier" ) library(limma) ## ## Attaching package: 'limma' ## The following object is masked from 'package:scater': ## ## plotMDS ## The following object is masked from 'package:BiocGenerics': ## ## plotMA auto <- colnames(reads)[reads$outlier] man <- colnames(reads)[!reads$use] venn.diag <- vennCounts( cbind(colnames(reads) %in% auto, colnames(reads) %in% man) ) vennDiagram( venn.diag, names = c("Automatic", "Manual"), circle.col = c("blue", "green") ) Figure 6.11: Comparison of the default, automatic and manual cell filters plotHighestExprs(reads, exprs_values = "counts") Figure 6.12: Number of total counts consumed by the top 50 expressed genes keep_feature <- nexprs( reads[,colData(reads)$use], byrow = TRUE, detection_limit = 1 ) >= 2 rowData(reads)$use <- keep_feature table(keep_feature) ## keep_feature ## FALSE TRUE ## 2664 16062 dim(reads[rowData(reads)$use, colData(reads)$use]) ## [1] 16062 606 assay(reads, "logcounts_raw") <- log2(counts(reads) + 1) reducedDim(reads) <- NULL saveRDS(reads, file = "data/tung/reads.rds") By comparing Figure 6.5 and Figure 6.11, it is clear that the reads based filtering removed more cells than the UMI based analysis. If you go back and compare the results you should be able to conclude that the ERCC and MT filters are more strict for the reads-based analysis. sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] limma_3.40.6 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] ggbeeswarm_0.6.0 colorspace_1.4-1 ## [3] mvoutlier_2.0.9 class_7.3-15 ## [5] modeltools_0.2-22 rio_0.5.16 ## [7] mclust_5.4.5 XVector_0.24.0 ## [9] pls_2.7-1 BiocNeighbors_1.2.0 ## [11] cvTools_0.3.2 flexmix_2.3-15 ## [13] mvtnorm_1.0-11 ranger_0.11.2 ## [15] splines_3.6.0 sROC_0.1-2 ## [17] robustbase_0.93-5 knitr_1.25 ## [19] zeallot_0.1.0 robCompositions_2.1.0 ## [21] kernlab_0.9-27 cluster_2.1.0 ## [23] rrcov_1.4-7 compiler_3.6.0 ## [25] backports_1.1.4 assertthat_0.2.1 ## [27] Matrix_1.2-17 lazyeval_0.2.2 ## [29] BiocSingular_1.0.0 htmltools_0.3.6 ## [31] tools_3.6.0 rsvd_1.0.2 ## [33] gtable_0.3.0 glue_1.3.1 ## [35] GenomeInfoDbData_1.2.1 dplyr_0.8.3 ## [37] Rcpp_1.0.2 carData_3.0-2 ## [39] cellranger_1.1.0 zCompositions_1.3.2-1 ## [41] vctrs_0.2.0 sgeostat_1.0-27 ## [43] fpc_2.2-3 DelayedMatrixStats_1.6.1 ## [45] lmtest_0.9-37 xfun_0.9 ## [47] laeken_0.5.0 stringr_1.4.0 ## [49] openxlsx_4.1.0.1 lifecycle_0.1.0 ## [51] irlba_2.3.3 DEoptimR_1.0-8 ## [53] zlibbioc_1.30.0 MASS_7.3-51.1 ## [55] zoo_1.8-6 scales_1.0.0 ## [57] VIM_4.8.0 hms_0.5.1 ## [59] RColorBrewer_1.1-2 yaml_2.2.0 ## [61] curl_4.2 NADA_1.6-1 ## [63] gridExtra_2.3 reshape_0.8.8 ## [65] stringi_1.4.3 highr_0.8 ## [67] pcaPP_1.9-73 e1071_1.7-2 ## [69] boot_1.3-20 zip_2.0.4 ## [71] truncnorm_1.0-8 rlang_0.4.0 ## [73] pkgconfig_2.0.3 prabclus_2.3-1 ## [75] bitops_1.0-6 evaluate_0.14 ## [77] lattice_0.20-38 purrr_0.3.2 ## [79] labeling_0.3 cowplot_1.0.0 ## [81] tidyselect_0.2.5 GGally_1.4.0 ## [83] plyr_1.8.4 magrittr_1.5 ## [85] bookdown_0.13 R6_2.4.0 ## [87] pillar_1.4.2 haven_2.1.1 ## [89] foreign_0.8-70 withr_2.1.2 ## [91] survival_2.43-3 abind_1.4-5 ## [93] RCurl_1.95-4.12 sp_1.3-1 ## [95] nnet_7.3-12 tibble_2.1.3 ## [97] crayon_1.3.4 car_3.0-3 ## [99] rmarkdown_1.15 viridis_0.5.1 ## [101] grid_3.6.0 readxl_1.3.1 ## [103] data.table_1.12.2 forcats_0.4.0 ## [105] diptest_0.75-7 vcd_1.4-4 ## [107] digest_0.6.21 tidyr_1.0.0 ## [109] munsell_0.5.0 beeswarm_0.2.3 ## [111] viridisLite_0.3.0 vipor_0.4.5 6.6 Data visualization and exploratory data analysis 6.6.1 Introduction In this chapter we will continue to work with the filtered Tung dataset produced in the previous chapter. We will explore different ways of visualizing the data to allow you to asses what happened to the expression matrix after the quality control step. scater package provides several very useful functions to simplify visualisation. One important aspect of single-cell RNA-seq is to control for batch effects. Batch effects are technical artefacts that are added to the samples during handling. For example, if two sets of samples were prepared in different labs or even on different days in the same lab, then we may observe greater similarities between the samples that were handled together. In the worst case scenario, batch effects may be mistaken for true biological variation. Data visualisation can help to identify batch effects or other unwanted sources of variation that affect our observed gene expression measurements. The Tung data allows us to explore these issues in a controlled manner since some of the salient aspects of how the samples were handled have been recorded. Ideally, we expect to see batches from the same individual grouping together and distinct groups corresponding to each individual. Data visualisation and exploratory data analysis are invaluable for allowing us to get a “feel†for a dataset. This is an area of data analysis that is perhaps more art than science, but is a crucial aspect of single-cell QC and analysis. library(SingleCellExperiment) library(scater) options(stringsAsFactors = FALSE) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control 6.6.2 PCA plot The easiest way to overview the data is by transforming it using the principal component analysis and then visualize the first two principal components. Principal component analysis (PCA) is a statistical procedure that uses a transformation to convert a set of observations into a set of values of linearly uncorrelated variables called principal components (PCs). The number of principal components is less than or equal to the number of original variables. Mathematically, the PCs correspond to the eigenvectors of the covariance matrix. The eigenvectors are sorted by eigenvalue so that the first principal component accounts for as much of the variability in the data as possible, and each succeeding component in turn has the highest variance possible under the constraint that it is orthogonal to the preceding components (the figure below is taken from here). Figure 6.13: Schematic representation of PCA dimensionality reduction 6.6.2.1 Before QC Without log-transformation: tmp <- runPCA( umi[endog_genes, ], exprs_values = "counts" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.14: PCA plot of the tung data With log-transformation: tmp <- runPCA( umi[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.15: PCA plot of the tung data Clearly log-transformation is benefitial for our data - it reduces the variance on the first principal component and already separates some biological effects. Moreover, it makes the distribution of the expression values more normal. In the following analysis and chapters we will be using log-transformed raw counts by default. However, note that just a log-transformation is not enough to account for different technical factors between the cells (e.g. sequencing depth). Therefore, please do not use logcounts_raw for your downstream analysis, instead as a minimum suitable data use the logcounts slot of the SingleCellExperiment object, which not just log-transformed, but also normalised by library size (e.g. CPM normalisation). In the course we use logcounts_raw only for demonstration purposes! 6.6.2.2 After QC tmp <- runPCA( umi.qc[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.16: PCA plot of the tung data Comparing Figure 6.15 and Figure 6.16, it is clear that after quality control the NA19098.r2 cells no longer form a group of outliers. By default only the top 500 most variable genes are used by scater to calculate the PCA. This can be adjusted by changing the ntop argument. Exercise 1 How do the PCA plots change if when all 14,066 genes are used? Or when only top 50 genes are used? Why does the fraction of variance accounted for by the first PC change so dramatically? Hint Use ntop argument of the plotPCA function. Our answer Figure 6.17: PCA plot of the tung data (14214 genes) Figure 6.18: PCA plot of the tung data (50 genes) If your answers are different please compare your code with ours (you need to search for this exercise in the opened file). 6.6.3 tSNE map An alternative to PCA for visualizing scRNA-seq data is a tSNE plot. tSNE (t-Distributed Stochastic Neighbor Embedding) converts high-dimensional Euclidean distances between datapoints into conditional probabilities that represent similarities, to produce a low-dimensional representation of high-dimensional data that displays large- and local-scale structure in the dataset. Here, we map high dimensional data ( i.e. our 14,214 dimensional expression matrix) to a 2-dimensional space while preserving local distances between cells. tSNE is almost always used to produce a two-dimensional representation of a high-dimensional dataset; it is only rarely used to generate a reduced-dimension space with more than two dimensions and is typically used only for visulisation as opposed being used as a general dimension-reduction method. Due to the non-linear and stochastic nature of the algorithm, tSNE is more difficult to intuitively interpret than a standard dimensionality reduction method such as PCA. Things to be aware of when using tSNE: tSNE has a tendency to (visually) cluster points; as such, it often creates attractive plots of datasets with distinct cell types, but does look as good when there are continuous changes in the cell population. The hyperparameters really matter: in particular, changing the perplexity parameter can have a large effect on the visulisation produced. Perplexity is a measure of information, but can loosely be thought of as a tuning parameter that controls the number of nearest neighbous for each datapoint. Cluster sizes in a tSNE plot mean nothing. Distances between clusters might not mean anything. Random noise doesn’t always look random. You can see some shapes, sometimes. For more details about how to use tSNE effectively, see this exellent article. In contrast with PCA, tSNE is a stochastic algorithm which means running the method multiple times on the same dataset will result in different plots. To ensure reproducibility, we fix the “seed†of the random-number generator in the code below so that we always get the same plot. 6.6.3.1 Before QC set.seed(123456) tmp <- runTSNE( umi[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.19: tSNE map of the tung data 6.6.3.2 After QC set.seed(123456) tmp <- runTSNE( umi.qc[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.20: tSNE map of the tung data Interpreting PCA and tSNE plots is often challenging and due to their stochastic and non-linear nature, they are less intuitive. However, in this case it is clear that they provide a similar picture of the data. Comparing Figure 6.19 and 6.20, it is again clear that the samples from NA19098.r2 are no longer outliers after the QC filtering. Furthermore tSNE requires you to provide a value of perplexity which reflects the number of neighbours used to build the nearest-neighbour network; a high value creates a dense network which clumps cells together while a low value makes the network more sparse allowing groups of cells to separate from each other. scater uses a default perplexity of the total number of cells divided by five (rounded down). You can read more about the pitfalls of using tSNE here. UMAP (Uniform Manifold Approximation and Projection) is a newer alternative to tSNE which also often creates attractive visualisations of scRNA-seq data with the benefit of being faster than tSNE to compute and is a “true†dimensionality reduction method. We will look at PCA, tSNE and UMAP plots in subsequent chapters and discuss the topic of dimensionality reduction further in the Latent spaces chapter. Exercise 2 How do the tSNE plots change when a perplexity of 10 or 200 is used? How does the choice of perplexity affect the interpretation of the results? Our answer Figure 6.21: tSNE map of the tung data (perplexity = 10) Figure 6.22: tSNE map of the tung data (perplexity = 200) 6.6.4 Big Exercise Perform the same analysis with read counts of the Blischak data. Use tung/reads.rds file to load the reads SCE object. Once you have finished please compare your results to ours (next chapter). 6.6.5 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scater_1.12.2 ggplot2_3.2.1 ## [3] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [5] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [7] matrixStats_0.55.0 Biobase_2.44.0 ## [9] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0 ## [11] IRanges_2.18.3 S4Vectors_0.22.1 ## [13] BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] Rcpp_1.0.2 rsvd_1.0.2 ## [3] lattice_0.20-38 assertthat_0.2.1 ## [5] digest_0.6.21 R6_2.4.0 ## [7] evaluate_0.14 highr_0.8 ## [9] pillar_1.4.2 zlibbioc_1.30.0 ## [11] rlang_0.4.0 lazyeval_0.2.2 ## [13] irlba_2.3.3 Matrix_1.2-17 ## [15] rmarkdown_1.15 BiocNeighbors_1.2.0 ## [17] labeling_0.3 Rtsne_0.15 ## [19] stringr_1.4.0 RCurl_1.95-4.12 ## [21] munsell_0.5.0 compiler_3.6.0 ## [23] vipor_0.4.5 BiocSingular_1.0.0 ## [25] xfun_0.9 pkgconfig_2.0.3 ## [27] ggbeeswarm_0.6.0 htmltools_0.3.6 ## [29] tidyselect_0.2.5 tibble_2.1.3 ## [31] gridExtra_2.3 GenomeInfoDbData_1.2.1 ## [33] bookdown_0.13 viridisLite_0.3.0 ## [35] crayon_1.3.4 dplyr_0.8.3 ## [37] withr_2.1.2 bitops_1.0-6 ## [39] grid_3.6.0 gtable_0.3.0 ## [41] magrittr_1.5 scales_1.0.0 ## [43] stringi_1.4.3 XVector_0.24.0 ## [45] viridis_0.5.1 DelayedMatrixStats_1.6.1 ## [47] cowplot_1.0.0 tools_3.6.0 ## [49] glue_1.3.1 beeswarm_0.2.3 ## [51] purrr_0.3.2 yaml_2.2.0 ## [53] colorspace_1.4-1 knitr_1.25 6.7 Exercise: Data visualization (Reads) library(scater) options(stringsAsFactors = FALSE) reads <- readRDS("data/tung/reads.rds") reads.qc <- reads[rowData(reads)$use, colData(reads)$use] endog_genes <- !rowData(reads.qc)$is_feature_control tmp <- runPCA( reads[endog_genes, ], exprs_values = "counts" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.23: PCA plot of the tung data tmp <- runPCA( reads[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.24: PCA plot of the tung data tmp <- runPCA( reads.qc[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.25: PCA plot of the tung data set.seed(123456) tmp <- runTSNE( reads[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.26: tSNE map of the tung data set.seed(123456) tmp <- runTSNE( reads.qc[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.27: tSNE map of the tung data Figure 6.21: tSNE map of the tung data (perplexity = 10) Figure 6.22: tSNE map of the tung data (perplexity = 200) sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scater_1.12.2 ggplot2_3.2.1 ## [3] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [5] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [7] matrixStats_0.55.0 Biobase_2.44.0 ## [9] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0 ## [11] IRanges_2.18.3 S4Vectors_0.22.1 ## [13] BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] Rcpp_1.0.2 rsvd_1.0.2 ## [3] lattice_0.20-38 assertthat_0.2.1 ## [5] digest_0.6.21 R6_2.4.0 ## [7] evaluate_0.14 highr_0.8 ## [9] pillar_1.4.2 zlibbioc_1.30.0 ## [11] rlang_0.4.0 lazyeval_0.2.2 ## [13] irlba_2.3.3 Matrix_1.2-17 ## [15] rmarkdown_1.15 BiocNeighbors_1.2.0 ## [17] labeling_0.3 Rtsne_0.15 ## [19] stringr_1.4.0 RCurl_1.95-4.12 ## [21] munsell_0.5.0 compiler_3.6.0 ## [23] vipor_0.4.5 BiocSingular_1.0.0 ## [25] xfun_0.9 pkgconfig_2.0.3 ## [27] ggbeeswarm_0.6.0 htmltools_0.3.6 ## [29] tidyselect_0.2.5 tibble_2.1.3 ## [31] gridExtra_2.3 GenomeInfoDbData_1.2.1 ## [33] bookdown_0.13 viridisLite_0.3.0 ## [35] crayon_1.3.4 dplyr_0.8.3 ## [37] withr_2.1.2 bitops_1.0-6 ## [39] grid_3.6.0 gtable_0.3.0 ## [41] magrittr_1.5 scales_1.0.0 ## [43] stringi_1.4.3 XVector_0.24.0 ## [45] viridis_0.5.1 DelayedMatrixStats_1.6.1 ## [47] cowplot_1.0.0 tools_3.6.0 ## [49] glue_1.3.1 beeswarm_0.2.3 ## [51] purrr_0.3.2 yaml_2.2.0 ## [53] colorspace_1.4-1 knitr_1.25 References "],
-["normalization-confounders-and-batch-correction.html", "7 Normalization, confounders and batch correction 7.1 Normalization theory 7.2 Normalization practice (UMI) 7.3 Normalization practice (Reads) 7.4 Identifying confounding factors 7.5 Identifying confounding factors (Reads) 7.6 Batch effects 7.7 Dealing with confounders (Reads) 7.8 Feature Selection", " 7 Normalization, confounders and batch correction 7.1 Normalization theory 7.1.1 Introduction In this chapter, we will explore approaches to normalization, confounder identification and batch correction for scRNA-seq data. Even in the absence of specific confounding factors, thoughtful normalization of scRNA-seq data is required. The raw count values are not directly comparable between cells, because in general the sequencing depth (number of reads obtained; often called library size) is very different across cells—orders-of-magnitude differences in sequencing depth are commonly observed between cells in an scRNA-seq dataset. If ignored, or not handled correctly, library size differences can be the dominant source of variation between single-cell gene expression profiles, obscuring the biological signal of interest. n Related to library size, differences in library composition can also cause problems when we are trying to compare expression profiles between cells. Normalization can and should also account for differences in library composition. In addition to normalization, it is also useful to identify confounding factors so that they can be accounted for in downstream analyses. In many cases, “accounting†for confounding variables may involve incorporating them as variables in a particular statistical model (e.g. in a differential expression model). In other cases, it may be desirable to “regress out†(either in a literal or figurative sense) confounding factors—the challenge for scRNA-seq data is finding the right model and/or data transformation such that regressing out confounding factors would work as desired. We discuss this further below. The issue of batch effects is just as important for scRNA-seq data as it is in other areas of genomics. Briefly, scRNA-seq and other ’omics assays are sensitive to minor differences in technical features of data generation. As such, even when assaying the same experimental or biological system, measurements taken at difference times and places or by different people will differ substantially. To make valid comparisons between cells, samples or groups, we first need to design our studies to be robust to batch effects and then we need to treat batch effects appropriately in our analyses. In the following sections, we will explore simple size-factor normalizations correcting for library size and composition and also discuss a more recent, conceptually quite different, approach to tackling the problem of library size differences between cells. 7.1.2 Library size Library sizes vary because scRNA-seq data is often sequenced on highly multiplexed platforms the total reads which are derived from each cell may differ substantially. Most scRNA-seq platforms and/or quantification methods currently available produce count values as the “rawâ€, “observedâ€, gene expression values. For such count data, the library size must be corrected for as part of data normalization. One popular strategy, borrowed and extended from the analysis of bulk RNA-seq data, is to multiply or divide each column of the expression matrix (in our setup columns correspond to cells) by a “normalization factor†which is an estimate of the library size relative to the other cells. Many methods to correct for library size have been developed for bulk RNA-seq and can be equally applied to scRNA-seq (eg. UQ, SF, CPM, RPKM, FPKM, TPM). In addition, single-cell specific size-factor normalization methods have been proposed to better handle the characteristics of scRNA-seq data (namely greater sparsity/proportion of zero counts). We will demonstrate use of the size-factor normalization method from the scran package in this chapter. A conceptually different approach to normalization of scRNA-seq data was proposed earlier in 2019 by (Hafemeister and Satija 2019). The idea behind the sctransform approach is to fit a regularized negative binomial model to the raw count data, with library size as the only explanatory variable in the model. The residuals from this model can then be used as normalized and variance-stabilized expression values. We show the use of this method too in this chapter. Some quantification methods (particularly those that quantify transcript-level expression, e.g. Salmon, kallisto) return transcripts-per-million values, TPM (instead of or in addition to count values), which effectively incorporate library size when determining gene expression estimates and thus do not require subsequent normalization for library size. However, TPM values may still be susceptible to library composition biases and so normalization may still be required. 7.1.3 Scaling or size-factor normalization methods The normalization methods discussed in this section all involve dividing the counts for each cell by a constant value to account for library size and, in some cases, library composition. These methods will typically give (adjusted/normalized) counts-per-million (CPM) or transcripts-per-million (TPM) values. Ideally, after applying one of these scaling/size-factor normalization methods, the CPM/TPM values produced are comparable across cells, with the effects of sequencing depth removed. However, even if this is true (i.e. the normalization has worked well), the CPM/TPM values do not have stable variance. Specifically, as the size of the values increases, so does the variance. This feature of the data (heteroskedacity, or asymmetric, heavy-tailed distributions) is problematic for statistical analysis methods that assume homoskedacity, that is that there is no relationship between the mean of expression values and their variance (i.e. just about anything that uses a Gaussian error model). As such, we should apply a variance stabilizing transformation to these data so that we can use standard statistical methods like linear regression and PCA with confidence. Developing a thoroughly effective variance stabilizing transformation is a challenge, so almost universally a log transformation (typically log2) is applied to the CPM/TPM values (the logcounts slot in a SingleCellExperiment object is expected to contain (normalized) log2-scale CPM/TPM values). For high-depth cells and highly-expressed genes this transformation generally works well (as for bulk RNA-seq data), but, as we will discuss below, it often performs sub-optimally for (sparse) scRNA-seq data. 7.1.3.1 CPM The simplest way to normalize this data is to convert it to counts per million (CPM) by dividing each column by its total then multiplying by 1,000,000. Note that spike-ins should be excluded from the calculation of total expression in order to correct for total cell RNA content, therefore we will only use endogenous genes. Example of a CPM function in R (using the scater package): calc_cpm <- function (expr_mat, spikes = NULL) { norm_factor <- colSums(expr_mat[-spikes, ]) return(t(t(expr_mat)/norm_factor)) * 10^6 } One potential drawback of CPM is if your sample contains genes that are both very highly expressed and differentially expressed across the cells. In this case, the total molecules in the cell may depend of whether such genes are on/off in the cell and normalizing by total molecules may hide the differential expression of those genes and/or falsely create differential expression for the remaining genes. Note RPKM, FPKM and TPM are variants on CPM which further adjust counts by the length of the respective gene/transcript. TPM is usually a direct output of a transcript expression quantification method (e.g. Salmon, kallisto, etc). To deal with this potentiality several other measures were devised. 7.1.3.2 RLE (SF) The size factor (SF) was proposed and popularized by DESeq (Anders and Huber 2010). First the geometric mean of each gene across all cells is calculated. The size factor for each cell is the median across genes of the ratio of the expression to the gene’s geometric mean. A drawback to this method is that since it uses the geometric mean only genes with non-zero expression values across all cells can be used in its calculation, making it unadvisable for large low-depth scRNASeq experiments. edgeR & scater call this method RLE for “relative log expression†(to distinguish it from the many other size-factor normalization methods that now exist). Example of a SF function in R (from the edgeR package): calc_sf <- function (expr_mat, spikes = NULL) { geomeans <- exp(rowMeans(log(expr_mat[-spikes, ]))) SF <- function(cnts) { median((cnts/geomeans)[(is.finite(geomeans) & geomeans > 0)]) } norm_factor <- apply(expr_mat[-spikes, ], 2, SF) return(t(t(expr_mat)/norm_factor)) } 7.1.3.3 UQ The upperquartile (UQ) was proposed by (Bullard et al. 2010). Here each column is divided by the 75% quantile of the counts for each library. Often the calculated quantile is scaled by the median across cells to keep the absolute level of expression relatively consistent. A drawback to this method is that for low-depth scRNASeq experiments the large number of undetected genes may result in the 75% quantile being zero (or close to it). This limitation can be overcome by generalizing the idea and using a higher quantile (eg. the 99% quantile is the default in scater) or by excluding zeros prior to calculating the 75% quantile. Example of a UQ function in R (again from the edgeR package): calc_uq <- function (expr_mat, spikes = NULL) { UQ <- function(x) { quantile(x[x > 0], 0.75) } uq <- unlist(apply(expr_mat[-spikes, ], 2, UQ)) norm_factor <- uq/median(uq) return(t(t(expr_mat)/norm_factor)) } 7.1.3.4 TMM Another method is called TMM is the weighted trimmed mean of M-values (to the reference) proposed by (Robinson and Oshlack 2010). The M-values in question are the gene-wise log2-fold changes between individual cells. One cell is used as the reference then the M-values for each other cell is calculated compared to this reference. These values are then trimmed by removing the top and bottom ~30%, and the average of the remaining values is calculated by weighting them to account for the effect of the log scale on variance. Each non-reference cell is multiplied by the calculated factor. Two potential issues with this method are insufficient non-zero genes left after trimming, and the assumption that most genes are not differentially expressed. sizeFactors(umi.qc) <- edgeR::calcNormFactors(counts(umi.qc), method = "TMM") 7.1.3.5 scran scran package implements a variant on CPM size-factor normalization specialized for single-cell data (L. Lun, Bach, and Marioni 2016). Briefly this method deals with the problem of vary large numbers of zero values per cell by pooling cells together calculating a normalization factor (similar to TMM) for the sum of each pool. Since each cell is found in many different pools, cell-specific factors can be deconvoluted from the collection of pool-specific factors using linear algebra. This method applies a “quick cluster†method to get rough clusters of cells to pool together to apply the strategy outlined above. qclust <- quickCluster(umi.qc, min.size = 30) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) 7.1.4 sctransform The sctransform method is very different from the scaling/size-factor methods discussed above. In their paper, (Hafemeister and Satija 2019) argue that the log-transformation of (normalized) CPM values does not stabilise the variance of expression values, particularly in the case of sparse(r) UMI-count data. Figure 1 of their paper (reproduced below) sets out this argument that strong relationships exist between gene expression and total cell UMI count, even after applying a scaled log-normalization method. Figure 2.4: Reproduction of Figure 1 from Hafemeister and Satija (2019). 33,148 PBMC dataset from 10x genomics. A) Distribution of total UMI counts / cell (’sequencing depth’). B) We placed genesinto six groups, based on their average expression in the dataset. C) For each gene group, we examined the average relationship between observed counts and cell sequencing depth. We fit a smooth line for each gene individually and combined results based on the groupings in (B). Black line shows mean, colored region indicates interquartile range. D) Same as in (C), but showing scaled log-normalized values instead of UMI counts. Values were scaled (z-scored) so that a single y-axis range could be used. E) Relationship between gene variance and cell sequencing depth; Cells were placed into five equal-sized groups based on total UMI counts (group 1 has the greatest depth), and we calculated the total variance of each gene group within each bin. For effectively normalized data, each cell bin should contribute 20% to the variance of each gene group. One effect of the failure of the scaled log-normalization to remove the relationship between total cell UMI count and expression is that dimension-reduction methods (especially PCA) applied to the log-normalized data can return reduced dimension spaces where, very often, the first dimension is highly correlated with total cell UMI count to total cell genes expressed. This effect is noted and discussed by (William Townes et al. 2019). The sctransform solution is to fit a negative binomial (NB) generalized linear model to the UMI counts for each gene, with an intercept term and a coefficient for library size (specifically using log10(total cell UMI count) as a covariate) as parameters in the model. The negative binomial model can account for much more variance in the observed count data than a simpler model like the Poisson can. To avoid overfitting the model to the data, the gene-wise intercept, library size and overdispersion parameters are regularized by fitting a loess (locally-linear smoothing method) to the per-gene estimates from the GLM. Figure 2.5: Reproduction of Figure 2A from Hafemeister and Satija (2019). They fit NB regression models for each gene individually, and bootstrapped the process to measure uncertainty in the resulting parameter estimates. A) Model parameters for 16,809 genes for the NB regression model, plotted as a function of average gene abundance. The color of each point indicates a parameter uncertainty score as determined by bootstrapping (Methods). Pink line shows the regularized parameters obtained via kernel regression. The regularized NB GLM is presented as an attractive middle ground between the (underfit) Poisson model and the (overfit) unregularized NB model. The Pearson residuals from the regularized NB GLM are used as “normalized†expression values for downstream analyses. Figure 2.6: Reproduction of Figure 4 from Hafemeister and Satija (2019). A) For four genes, we show the relationship between cell sequencing depth and molecular counts. White points show the observed data. Background color represents the Pearson residual magnitude under three error models. For MALAT1 (does not vary across cell types) the Poisson error model does not account for overdispersion, and incorrectly infers significant residual variation (biological heterogeneity). For S100A9 (a CD14+ Monocyte marker) and CD74 (expressed in antigen-presenting cells) the non-regularized NB model overfits the data, and collapses biological heterogeneity. For PPBP (a Megakaryocyte marker) both non-regularized models wrongly fit a negative slope. B) Boxplot of Pearson residuals for models shown in A. X-axis range shown is limited to [-8, 25] for visual clarity. The regularized NB GLM also provides a natural way to do feature selection ( i.e. find informative genes) using the deviance of the fitted GLM for each gene. We discuss this further in the Feature Selection section. We find the Pearson residuals from sctransform to be highly suitable as input to visualisation (dimension reduction) and clustering methods. For several other analyses (e.g. differential expression analyses), where statistical models designed for sparse count data are available, we prefer to use approaches that work with the “raw†count data. We are not yet sure how well sctransform performs on full-length transcript (i.e. non-UMI) count data. 7.1.5 Downsampling A final way to correct for library size is to downsample the expression matrix so that each cell has approximately the same total number of molecules. The benefit of this method is that zero values will be introduced by the down sampling thus eliminating any biases due to differing numbers of detected genes. However, the major drawback is that the process is not deterministic so each time the downsampling is run the resulting expression matrix is slightly different. Thus, often analyses must be run on multiple downsamplings to ensure results are robust. Downsampling to the depth of the cell with the lowest sequencing depth (that still passes QC) will typically discard much (most) of the information gathered in a (typically expensive) scRNA-seq experiment. We view this as a heavy price to pay for a normalization method that generally does not seem to outperform alternatives. Thus, we would not recommend downsampling as a normalization strategy for scRNA-seq data unless all alternatives have failed. 7.1.6 Effectiveness To compare the efficiency of different normalization methods we will use visual inspection of PCA plots and calculation of cell-wise relative log expression via scater’s plotRLE() function. Namely, cells with many (few) reads have higher (lower) than median expression for most genes resulting in a positive (negative) RLE across the cell, whereas normalized cells have an RLE close to zero. Example of a RLE function in R: calc_cell_RLE <- function (expr_mat, spikes = NULL) { RLE_gene <- function(x) { if (median(unlist(x)) > 0) { log((x + 1)/(median(unlist(x)) + 1))/log(2) } else { rep(NA, times = length(x)) } } if (!is.null(spikes)) { RLE_matrix <- t(apply(expr_mat[-spikes, ], 1, RLE_gene)) } else { RLE_matrix <- t(apply(expr_mat, 1, RLE_gene)) } cell_RLE <- apply(RLE_matrix, 2, median, na.rm = T) return(cell_RLE) } Note The RLE, TMM, and UQ size-factor methods were developed for bulk RNA-seq data and, depending on the experimental context, may not be appropriate for single-cell RNA-seq data, as their underlying assumptions may be problematically violated. Note The calcNormFactors function from the edgeR package implements several library size normalization methods making it easy to apply any of these methods to our data. Note edgeR makes extra adjustments to some of the normalization methods which may result in somewhat different results than if the original methods are followed exactly, e.g. edgeR’s and scater’s “RLE†method which is based on the “size factor†used by DESeq may give different results to the estimateSizeFactorsForMatrix method in the DESeq/DESeq2 packages. In addition, some (earlier) versions of edgeR will not calculate the normalization factors correctly unless lib.size is set at 1 for all cells. Note For CPM normalisation we use scater’s calculateCPM() function. For RLE, UQ and TMM we used to use scater’s normaliseExprs() function, but it was deprecated and has been removed from the package). For scran we use the scran package to calculate size factors (it also operates on SingleCellExperiment class) and scater’s normalize() to normalise the data. All these normalization functions save the results to the logcounts slot of the SCE object. 7.2 Normalization practice (UMI) We will continue to work with the tung data that was used in the previous chapter. library(scRNA.seq.funcs) library(scater) library(scran) options(stringsAsFactors = FALSE) set.seed(1234567) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control 7.2.1 Raw tmp <- runPCA( umi.qc[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: raw log-counts") Figure 7.1: PCA plot of the tung data 7.2.2 CPM logcounts(umi.qc) <- log2(calculateCPM(umi.qc, use_size_factors = FALSE) + 1) plotPCA( umi.qc[endog_genes, ], colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: log2(CPM) values") Figure 7.2: PCA plot of the tung data after CPM normalisation plotRLE( umi.qc[endog_genes, ], exprs_values = "logcounts_raw", colour_by = "batch" ) + ggtitle("RLE plot: raw log-counts") Figure 7.3: Cell-wise RLE of the tung data. The relative log expression profile of each cell is represented by a boxplot, which appears as a line here. The grey bar in the middle for each cell represent the interquartile range of the RLE values; the coloured lines represent the whiskers ofof a boxplot and extend above and below the grey bar by 1.5 times the interquartile range. The median RLE value is shown with a circle. plotRLE( umi.qc[endog_genes, ], exprs_values = "logcounts", colour_by = "batch" ) + ggtitle("RLE plot: log2(CPM)") Figure 7.4: Cell-wise RLE of the tung data. The relative log expression profile of each cell is represented by a boxplot, which appears as a line here. The grey bar in the middle for each cell represent the interquartile range of the RLE values; the coloured lines represent the whiskers ofof a boxplot and extend above and below the grey bar by 1.5 times the interquartile range. The median RLE value is shown with a circle. Q: How well would you say the two approaches above normalize the data? 7.2.3 scran scran’s method for size-factor estimation will almost always be preferable for scRNA-seq data to methods that were developed for bulk RNA-seq data (TMM, RLE, UQ). Thus, we will just demonstrate the use of scran size-factor normalization here as representative of size-factor normalization more generally. The code below computes the size factors and then the normalize() function in scater applies those size factors along with the library sizes to the count matrix to produce normalized log2-counts-per-million values that are then stored in the logcounts slot of the SingleCellExperiment object. qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) umi.qc <- normalize(umi.qc) plotPCA( umi.qc[endog_genes, ], colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: scran size-factor normalization") Figure 7.5: PCA plot of the tung data after LSF normalisation plotRLE( umi.qc[endog_genes, ], exprs_values = "logcounts", colour_by = "batch" ) + ggtitle("RLE plot: scran size-factor normalization") Figure 7.6: Cell-wise RLE of the tung data scran sometimes calculates negative or zero size factors. These will completely distort the normalized expression matrix. We can check the size factors scran has computed like so: summary(sizeFactors(umi.qc)) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.4836 0.7747 0.9532 1.0000 1.1483 3.2873 For this dataset all the size factors are reasonable so we are done. If you find scran has calculated negative size factors try increasing the cluster and pool sizes until they are all positive. We sometimes filter out cells with very large size-factors (you may like to think about why), but we will not demonstrate that here. 7.2.4 sctransform The sctransform approach to using Pearson residuals from an regularized negative binomial generalized linear model was introduced above. Here we demonstrate how to apply this method. Note that (due to what looks like a bug in this version of sctransform) we need to convert the UMI count matrix to a sparse format to apply sctransform. umi_sparse <- as(counts(umi.qc), "dgCMatrix") ### Genes expressed in at least 5 cells will be kept sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1, cell_attr = as.data.frame(colData(umi.qc)), latent_var = "log10_total_counts_endogenous") ## | | | 0% | |======== | 12% | |================ | 25% | |======================== | 38% | |================================ | 50% | |========================================= | 62% | |================================================= | 75% | |========================================================= | 88% | |=================================================================| 100% ## | | | 0% | |= | 2% | |== | 4% | |==== | 5% | |===== | 7% | |====== | 9% | |======= | 11% | |======== | 13% | |========= | 15% | |=========== | 16% | |============ | 18% | |============= | 20% | |============== | 22% | |=============== | 24% | |================= | 25% | |================== | 27% | |=================== | 29% | |==================== | 31% | |===================== | 33% | |====================== | 35% | |======================== | 36% | |========================= | 38% | |========================== | 40% | |=========================== | 42% | |============================ | 44% | |============================== | 45% | |=============================== | 47% | |================================ | 49% | |================================= | 51% | |================================== | 53% | |=================================== | 55% | |===================================== | 56% | |====================================== | 58% | |======================================= | 60% | |======================================== | 62% | |========================================= | 64% | |=========================================== | 65% | |============================================ | 67% | |============================================= | 69% | |============================================== | 71% | |=============================================== | 73% | |================================================ | 75% | |================================================== | 76% | |=================================================== | 78% | |==================================================== | 80% | |===================================================== | 82% | |====================================================== | 84% | |======================================================== | 85% | |========================================================= | 87% | |========================================================== | 89% | |=========================================================== | 91% | |============================================================ | 93% | |============================================================= | 95% | |=============================================================== | 96% | |================================================================ | 98% | |=================================================================| 100% ## Pearson residuals, or deviance residuals dim(sctnorm_data$y) ## [1] 14066 657 dim(umi.qc) ## [1] 14066 657 sctnorm_data$model_str ## [1] "y ~ log10_total_counts_endogenous" assay(umi.qc, "sctrans_norm") <- sctnorm_data$y Let us look at the NB GLM model parameters estimated by sctransform. #sce$log10_total_counts ## Matrix of estimated model parameters per gene (theta and regression coefficients) sctransform::plot_model_pars(sctnorm_data) We can look at the effect of sctransform’s normalization on three particular genes, ACTB, POU5F1 (aka OCT4) and CD74. ##c('ACTB', 'Rpl10', 'Cd74') genes_plot <- c("ENSG00000075624", "ENSG00000204531", "ENSG00000019582") sctransform::plot_model(sctnorm_data, umi_sparse, genes_plot, plot_residual = TRUE, cell_attr = as.data.frame(colData(umi.qc))) reducedDim(umi.qc, "PCA_sctrans_norm") <- reducedDim( runPCA(umi.qc[endog_genes, ], exprs_values = "sctrans_norm") ) plotReducedDim( umi.qc, use_dimred = "PCA_sctrans_norm", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: sctransform normalization") Figure 7.7: PCA plot of the tung data after sctransform normalisation (Pearson residuals). plotRLE( umi.qc[endog_genes, ], exprs_values = "sctrans_norm", colour_by = "batch" ) + ggtitle("RLE plot: sctransform normalization") Figure 7.8: Cell-wise RLE of the tung data 7.2.5 Normalisation for gene/transcript length Some methods combine library size and fragment/gene length normalization such as: RPKM - Reads Per Kilobase Million (for single-end sequencing) FPKM - Fragments Per Kilobase Million (same as RPKM but for paired-end sequencing, makes sure that paired ends mapped to the same fragment are not counted twice) TPM - Transcripts Per Kilobase Million (same as RPKM, but the order of normalizations is reversed - length first and sequencing depth second) These methods are not applicable to our dataset since the end of the transcript which contains the UMI was preferentially sequenced. Furthermore in general these should only be calculated using appropriate quantification software from aligned BAM files not from read counts since often only a portion of the entire gene/transcript is sequenced, not the entire length. If in doubt check for a relationship between gene/transcript length and expression level. However, here we show how these normalisations can be calculated using scater. First, we need to find the effective transcript length in Kilobases. However, our dataset containes only gene IDs, therefore we will be using the gene lengths instead of transcripts. scater uses the biomaRt package, which allows one to annotate genes by other attributes: umi.qc <- getBMFeatureAnnos( umi.qc, filters = "ensembl_gene_id", attributes = c( "ensembl_gene_id", "hgnc_symbol", "chromosome_name", "start_position", "end_position" ), biomart = "ENSEMBL_MART_ENSEMBL", dataset = "hsapiens_gene_ensembl", host = "www.ensembl.org" ) # If you have mouse data, change the arguments based on this example: # getBMFeatureAnnos( # object, # filters = "ensembl_transcript_id", # attributes = c( # "ensembl_transcript_id", # "ensembl_gene_id", # "mgi_symbol", # "chromosome_name", # "transcript_biotype", # "transcript_start", # "transcript_end", # "transcript_count" # ), # biomart = "ENSEMBL_MART_ENSEMBL", # dataset = "mmusculus_gene_ensembl", # host = "www.ensembl.org" # ) Some of the genes were not annotated, therefore we filter them out: umi.qc.ann <- umi.qc[!is.na(rowData(umi.qc)$ensembl_gene_id), ] Now we compute the total gene length in Kilobases by using the end_position and start_position fields: eff_length <- abs(rowData(umi.qc.ann)$end_position - rowData(umi.qc.ann)$start_position) / 1000 plot(eff_length, rowMeans(counts(umi.qc.ann))) There is no relationship between gene length and mean expression so __FPKM__s & __TPM__s are inappropriate for this dataset. This is what we would expect for UMI protocols that tag one end of the transcript. But we will demonstrate them anyway. Note Here calculate the total gene length instead of the total exon length. Many genes will contain lots of introns so their eff_length will be very different from what we have calculated. Please consider our calculation as approximation. If you want to use the total exon lengths, please refer to this page. Now we are ready to perform the normalisations: tpm(umi.qc.ann) <- log2(calculateTPM(umi.qc.ann, eff_length) + 1) Plot the results as a PCA plot: tmp <- runPCA( umi.qc.ann, exprs_values = "tpm", ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) tpm(umi.qc.ann) <- log2(calculateFPKM(umi.qc.ann, eff_length) + 1) tmp <- runPCA( umi.qc.ann, exprs_values = "tpm", ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Note The PCA looks for differences between cells. Gene length is the same across cells for each gene thus FPKM is almost identical to the CPM plot (it is just rotated) since it performs CPM first then normalizes gene length. Whereas, TPM is different because it weights genes by their length before performing __CPM_**. 7.2.6 Reflection Q: What is your assessment of the performance of these different normalization methods on the data presented here? Q: Which normalization method would you prefer for this dataset? Why? 7.2.7 Exercise Perform the same analysis with read counts of the tung data. Use tung/reads.rds file to load the reads SCE object. Once you have finished please compare your results to ours (next chapter). 7.2.8 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] viridis_0.5.1 dynamicTreeCut_1.63-1 ## [3] edgeR_3.26.8 BiocSingular_1.0.0 ## [5] viridisLite_0.3.0 DelayedMatrixStats_1.6.1 ## [7] elliptic_1.4-0 moments_0.14 ## [9] assertthat_0.2.1 statmod_1.4.32 ## [11] highr_0.8 dqrng_0.2.1 ## [13] GenomeInfoDbData_1.2.1 vipor_0.4.5 ## [15] yaml_2.2.0 globals_0.12.4 ## [17] pillar_1.4.2 lattice_0.20-38 ## [19] glue_1.3.1 limma_3.40.6 ## [21] digest_0.6.21 XVector_0.24.0 ## [23] colorspace_1.4-1 plyr_1.8.4 ## [25] cowplot_1.0.0 htmltools_0.3.6 ## [27] Matrix_1.2-17 pkgconfig_2.0.3 ## [29] listenv_0.7.0 bookdown_0.13 ## [31] zlibbioc_1.30.0 purrr_0.3.2 ## [33] scales_1.0.0 Rtsne_0.15 ## [35] tibble_2.1.3 withr_2.1.2 ## [37] lazyeval_0.2.2 magrittr_1.5 ## [39] crayon_1.3.4 evaluate_0.14 ## [41] future_1.14.0 MASS_7.3-51.1 ## [43] beeswarm_0.2.3 tools_3.6.0 ## [45] stringr_1.4.0 locfit_1.5-9.1 ## [47] munsell_0.5.0 irlba_2.3.3 ## [49] orthopolynom_1.0-5 compiler_3.6.0 ## [51] rsvd_1.0.2 contfrac_1.1-12 ## [53] rlang_0.4.0 grid_3.6.0 ## [55] RCurl_1.95-4.12 BiocNeighbors_1.2.0 ## [57] igraph_1.2.4.1 labeling_0.3 ## [59] bitops_1.0-6 rmarkdown_1.15 ## [61] codetools_0.2-16 hypergeo_1.2-13 ## [63] gtable_0.3.0 deSolve_1.24 ## [65] reshape2_1.4.3 R6_2.4.0 ## [67] gridExtra_2.3 knitr_1.25 ## [69] dplyr_0.8.3 future.apply_1.3.0 ## [71] stringi_1.4.3 ggbeeswarm_0.6.0 ## [73] Rcpp_1.0.2 sctransform_0.2.0 ## [75] tidyselect_0.2.5 xfun_0.9 7.3 Normalization practice (Reads) Figure 7.9: PCA plot of the tung data Figure 7.10: PCA plot of the tung data after CPM normalisation Figure 7.11: Cell-wise RLE of the tung data Figure 7.12: Cell-wise RLE of the tung data ## Warning: Setting 'use.ranks=TRUE' for the old defaults. ## Set 'use.ranks=FALSE' for the new defaults. ## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its ## own size factors ## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own ## size factors Figure 7.13: PCA plot of the tung data after LSF normalisation Figure 7.14: Cell-wise RLE of the tung data Figure 7.15: Cell-wise RLE of the tung data ## Calculating cell attributes for input UMI matrix ## Variance stabilizing transformation of count matrix of size 16062 by 606 ## Model formula is y ~ log10_total_counts_endogenous ## Get Negative Binomial regression parameters per gene ## Using 2000 genes, 606 cells ## | | | 0% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## | |======== | 12% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |================ | 25% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## | |======================== | 38% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |================================ | 50% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## | |========================================= | 62% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## | |================================================= | 75% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |========================================================= | 88% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## | |=================================================================| 100% ## Found 1 outliers - those will be ignored in fitting/regularization step ## Second step: Get residuals using fitted parameters for 16062 genes ## | | | 0% | |= | 2% | |== | 3% | |=== | 5% | |==== | 6% | |===== | 8% | |====== | 10% | |======= | 11% | |======== | 13% | |========= | 14% | |========== | 16% | |=========== | 17% | |============ | 19% | |============= | 21% | |============== | 22% | |=============== | 24% | |================= | 25% | |================== | 27% | |=================== | 29% | |==================== | 30% | |===================== | 32% | |====================== | 33% | |======================= | 35% | |======================== | 37% | |========================= | 38% | |========================== | 40% | |=========================== | 41% | |============================ | 43% | |============================= | 44% | |============================== | 46% | |=============================== | 48% | |================================ | 49% | |================================= | 51% | |================================== | 52% | |=================================== | 54% | |==================================== | 56% | |===================================== | 57% | |====================================== | 59% | |======================================= | 60% | |======================================== | 62% | |========================================= | 63% | |========================================== | 65% | |=========================================== | 67% | |============================================ | 68% | |============================================= | 70% | |============================================== | 71% | |=============================================== | 73% | |================================================ | 75% | |================================================== | 76% | |=================================================== | 78% | |==================================================== | 79% | |===================================================== | 81% | |====================================================== | 83% | |======================================================= | 84% | |======================================================== | 86% | |========================================================= | 87% | |========================================================== | 89% | |=========================================================== | 90% | |============================================================ | 92% | |============================================================= | 94% | |============================================================== | 95% | |=============================================================== | 97% | |================================================================ | 98% | |=================================================================| 100% ## Calculating gene attributes ## Wall clock passed: Time difference of 16.15881 secs ## [1] 16062 606 ## [1] 16062 606 ## [1] "y ~ log10_total_counts_endogenous" Let us look at the NB GLM model parameters estimated by sctransform. We can look at the effect of sctransform’s normalization on three particular genes, ACTB, POU5F1 (aka OCT4) and CD74. Figure 7.16: PCA plot of the tung reads data after sctransform normalisation (Pearson residuals). Figure 7.17: Cell-wise RLE of the tung reads data Figure 7.18: PCA plot of the tung data after TPM normalisation ## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its ## own size factors ## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own ## size factors ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] bitops_1.0-6 bit64_0.9-7 ## [3] httr_1.4.1 progress_1.2.2 ## [5] dynamicTreeCut_1.63-1 backports_1.1.4 ## [7] sctransform_0.2.0 tools_3.6.0 ## [9] R6_2.4.0 irlba_2.3.3 ## [11] hypergeo_1.2-13 vipor_0.4.5 ## [13] DBI_1.0.0 lazyeval_0.2.2 ## [15] colorspace_1.4-1 withr_2.1.2 ## [17] prettyunits_1.0.2 tidyselect_0.2.5 ## [19] gridExtra_2.3 moments_0.14 ## [21] curl_4.2 bit_1.1-14 ## [23] compiler_3.6.0 orthopolynom_1.0-5 ## [25] BiocNeighbors_1.2.0 labeling_0.3 ## [27] bookdown_0.13 scales_1.0.0 ## [29] stringr_1.4.0 digest_0.6.21 ## [31] rmarkdown_1.15 XVector_0.24.0 ## [33] pkgconfig_2.0.3 htmltools_0.3.6 ## [35] limma_3.40.6 highr_0.8 ## [37] rlang_0.4.0 RSQLite_2.1.2 ## [39] DelayedMatrixStats_1.6.1 dplyr_0.8.3 ## [41] RCurl_1.95-4.12 magrittr_1.5 ## [43] BiocSingular_1.0.0 GenomeInfoDbData_1.2.1 ## [45] Matrix_1.2-17 Rcpp_1.0.2 ## [47] ggbeeswarm_0.6.0 munsell_0.5.0 ## [49] viridis_0.5.1 stringi_1.4.3 ## [51] yaml_2.2.0 edgeR_3.26.8 ## [53] MASS_7.3-51.1 zlibbioc_1.30.0 ## [55] Rtsne_0.15 plyr_1.8.4 ## [57] blob_1.2.0 grid_3.6.0 ## [59] listenv_0.7.0 dqrng_0.2.1 ## [61] crayon_1.3.4 contfrac_1.1-12 ## [63] lattice_0.20-38 cowplot_1.0.0 ## [65] hms_0.5.1 locfit_1.5-9.1 ## [67] zeallot_0.1.0 knitr_1.25 ## [69] pillar_1.4.2 igraph_1.2.4.1 ## [71] future.apply_1.3.0 reshape2_1.4.3 ## [73] codetools_0.2-16 biomaRt_2.40.4 ## [75] XML_3.98-1.20 glue_1.3.1 ## [77] evaluate_0.14 deSolve_1.24 ## [79] vctrs_0.2.0 gtable_0.3.0 ## [81] purrr_0.3.2 future_1.14.0 ## [83] assertthat_0.2.1 xfun_0.9 ## [85] rsvd_1.0.2 viridisLite_0.3.0 ## [87] tibble_2.1.3 elliptic_1.4-0 ## [89] memoise_1.1.0 AnnotationDbi_1.46.1 ## [91] beeswarm_0.2.3 globals_0.12.4 ## [93] statmod_1.4.32 7.4 Identifying confounding factors 7.4.1 Introduction There is a large number of potential confounders, artifacts and biases in scRNA-seq data. One of the main challenges in analysing scRNA-seq data stems from the fact that it is difficult to carry out a true technical replication (why?) to distinguish biological and technical variability. In the previous chapters we considered normalization and in this chapter we will continue to explore how experimental artifacts can be identified and removed. We will continue using the scater package since it provides a set of methods specifically for quality control of experimental and explanatory variables. Moreover, we will continue to work with the Blischak data that was used in the previous chapter. library(scater, quietly = TRUE) library(scran) options(stringsAsFactors = FALSE) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control The umi.qc dataset contains filtered cells and genes. Our next step is to explore technical drivers of variability in the data to inform data normalisation before downstream analysis. 7.4.2 Correlations with PCs Let’s first look again at the PCA plot of the QCed dataset using the scran-normalized log2-CPM values: qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) umi.qc <- normalize(umi.qc) ## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its ## own size factors ## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own ## size factors reducedDim(umi.qc, "PCA") <- reducedDim( runPCA(umi.qc[endog_genes,], exprs_values = "logcounts", ncomponents = 10), "PCA") plotPCA( umi.qc, colour_by = "batch", size_by = "total_features_by_counts" ) Figure 7.19: PCA plot of the tung data scater allows one to identify principal components that correlate with experimental and QC variables of interest (it ranks principle components by \\(R^2\\) from a linear model regressing PC value against the variable of interest). Let’s test whether some of the variables correlate with any of the PCs. 7.4.2.1 Top colData variables associated with PCs The plot below shows, for each of the first 10 PCs, the variance explained by the ten variables in colData(umi.qc) that are most strongly associated with the PCs. [We will ignore the sample_id variable: it has a unique value for each cell, so can explain all the variation for all PCs.] plotExplanatoryPCs(umi.qc) ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'is_cell_control' with fewer than 2 unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_100_features_feature_control' with fewer than 2 ## unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_200_features_feature_control' with fewer than 2 ## unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_500_features_feature_control' with fewer than 2 ## unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_50_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_100_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_200_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_500_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_50_features_MT' with fewer than 2 unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_100_features_MT' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_200_features_MT' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_500_features_MT' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'use' with fewer than 2 unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'outlier' with fewer than 2 unique levels ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf Figure 7.20: PC correlation with the number of detected genes Indeed, we can see that PC1 can be almost completely explained by batch and individual (of course batch is nested within individual). The total counts from ERCC spike-ins also explains a substantial proportion of the variability in PC1. Although number of detected genes is not strongly correlated with the PCs here (after normalization), this is commonly the case and something to look out for. [You might like to replicate the plot above using raw logcounts values to see what happens without normalization]. This is a well-known issue in scRNA-seq and was described here. 7.4.3 Explanatory variables scater can also compute the marginal \\(R^2\\) for each variable when fitting a linear model regressing expression values for each gene against just that variable, and display a density plot of the gene-wise marginal \\(R^2\\) values for the variables. plotExplanatoryVariables( umi.qc, exprs_values = "logcounts_raw", variables = c( "total_features_by_counts", "total_counts", "batch", "individual", "pct_counts_ERCC", "pct_counts_MT" ) ) Figure 7.21: Explanatory variables This analysis indicates that the number of detected genes (again) and also the sequencing depth (total number of UMI counts per cell) have substantial explanatory power for many genes, so these variables are good candidates for conditioning out in a normalization step, or including in downstream statistical models [cf. sctransform’s approach to normalization]. Expression of ERCCs also appears to be an important explanatory variable and one notable feature of the above plot is that batch explains more than individual. What does that tell us about the technical and biological variability of the data? 7.4.4 Other confounders In addition to correcting for batch, there are other factors that one may want to compensate for. As with batch correction, these adjustments require extrinsic information. One popular method is scLVM which allows you to identify and subtract the effect from processes such as cell-cycle or apoptosis. In addition, protocols may differ in terms of their coverage of each transcript, their bias based on the average content of A/T nucleotides, or their ability to capture short transcripts. Ideally, we would like to compensate for all of these differences and biases. 7.4.5 Exercise Perform the same analysis with read counts of the Blischak data. Use tung/reads.rds file to load the reads SCESet object. Once you have finished please compare your results to ours (next chapter). 7.4.6 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] knitr_1.25 ## ## loaded via a namespace (and not attached): ## [1] locfit_1.5-9.1 Rcpp_1.0.2 ## [3] rsvd_1.0.2 lattice_0.20-38 ## [5] assertthat_0.2.1 digest_0.6.21 ## [7] R6_2.4.0 dynamicTreeCut_1.63-1 ## [9] evaluate_0.14 highr_0.8 ## [11] pillar_1.4.2 zlibbioc_1.30.0 ## [13] rlang_0.4.0 lazyeval_0.2.2 ## [15] irlba_2.3.3 Matrix_1.2-17 ## [17] rmarkdown_1.15 labeling_0.3 ## [19] BiocNeighbors_1.2.0 statmod_1.4.32 ## [21] stringr_1.4.0 igraph_1.2.4.1 ## [23] RCurl_1.95-4.12 munsell_0.5.0 ## [25] compiler_3.6.0 vipor_0.4.5 ## [27] BiocSingular_1.0.0 xfun_0.9 ## [29] pkgconfig_2.0.3 ggbeeswarm_0.6.0 ## [31] htmltools_0.3.6 tidyselect_0.2.5 ## [33] tibble_2.1.3 gridExtra_2.3 ## [35] GenomeInfoDbData_1.2.1 bookdown_0.13 ## [37] edgeR_3.26.8 viridisLite_0.3.0 ## [39] crayon_1.3.4 dplyr_0.8.3 ## [41] withr_2.1.2 bitops_1.0-6 ## [43] grid_3.6.0 gtable_0.3.0 ## [45] magrittr_1.5 scales_1.0.0 ## [47] dqrng_0.2.1 stringi_1.4.3 ## [49] XVector_0.24.0 viridis_0.5.1 ## [51] limma_3.40.6 DelayedMatrixStats_1.6.1 ## [53] cowplot_1.0.0 tools_3.6.0 ## [55] glue_1.3.1 beeswarm_0.2.3 ## [57] purrr_0.3.2 yaml_2.2.0 ## [59] colorspace_1.4-1 7.5 Identifying confounding factors (Reads) ## Warning in .get_all_sf_sets(object): spike-in set 'ERCC' should have its ## own size factors ## Warning in .get_all_sf_sets(object): spike-in set 'MT' should have its own ## size factors Figure 7.22: PCA plot of the tung data ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'is_cell_control' with fewer than 2 unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_100_features_feature_control' with fewer than 2 ## unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_200_features_feature_control' with fewer than 2 ## unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_500_features_feature_control' with fewer than 2 ## unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_50_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_100_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_200_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_500_features_ERCC' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_50_features_MT' with fewer than 2 unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_100_features_MT' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_200_features_MT' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'pct_counts_in_top_500_features_MT' with fewer than 2 unique ## levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'use' with fewer than 2 unique levels ## Warning in getVarianceExplained(dummy, exprs_values = "pc_space", ...): ## ignoring 'outlier' with fewer than 2 unique levels ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf ## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning ## -Inf Figure 7.23: PC correlation with the number of detected genes Figure 7.24: Explanatory variables ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] locfit_1.5-9.1 Rcpp_1.0.2 ## [3] rsvd_1.0.2 lattice_0.20-38 ## [5] assertthat_0.2.1 digest_0.6.21 ## [7] R6_2.4.0 dynamicTreeCut_1.63-1 ## [9] evaluate_0.14 highr_0.8 ## [11] pillar_1.4.2 zlibbioc_1.30.0 ## [13] rlang_0.4.0 lazyeval_0.2.2 ## [15] irlba_2.3.3 Matrix_1.2-17 ## [17] rmarkdown_1.15 labeling_0.3 ## [19] BiocNeighbors_1.2.0 statmod_1.4.32 ## [21] stringr_1.4.0 igraph_1.2.4.1 ## [23] RCurl_1.95-4.12 munsell_0.5.0 ## [25] compiler_3.6.0 vipor_0.4.5 ## [27] BiocSingular_1.0.0 xfun_0.9 ## [29] pkgconfig_2.0.3 ggbeeswarm_0.6.0 ## [31] htmltools_0.3.6 tidyselect_0.2.5 ## [33] tibble_2.1.3 gridExtra_2.3 ## [35] GenomeInfoDbData_1.2.1 bookdown_0.13 ## [37] edgeR_3.26.8 viridisLite_0.3.0 ## [39] crayon_1.3.4 dplyr_0.8.3 ## [41] withr_2.1.2 bitops_1.0-6 ## [43] grid_3.6.0 gtable_0.3.0 ## [45] magrittr_1.5 scales_1.0.0 ## [47] dqrng_0.2.1 stringi_1.4.3 ## [49] XVector_0.24.0 viridis_0.5.1 ## [51] limma_3.40.6 DelayedMatrixStats_1.6.1 ## [53] cowplot_1.0.0 tools_3.6.0 ## [55] glue_1.3.1 beeswarm_0.2.3 ## [57] purrr_0.3.2 yaml_2.2.0 ## [59] colorspace_1.4-1 knitr_1.25 7.6 Batch effects 7.6.1 Introduction In the previous chapter we normalized for library size, effectively removing it as a confounder. Now we will consider removing other less well defined confounders from our data. Technical confounders (aka batch effects) can arise from difference in reagents, isolation methods, the lab/experimenter who performed the experiment, even which day/time the experiment was performed. Accounting for technical confounders, and batch effects particularly, is a large topic that also involves principles of experimental design. Here we address approaches that can be taken to account for confounders when the experimental design is appropriate. Fundamentally, accounting for technical confounders involves identifying and, ideally, removing sources of variation in the expression data that are not related to (i.e. are confounding) the biological signal of interest. Various approaches exist, some of which use spike-in or housekeeping genes, and some of which use endogenous genes. 7.6.1.1 Advantages and disadvantages of using spike-ins to remove confounders The use of spike-ins as control genes is conceptually appealing, since (ideally) the same amount of ERCC (or other) spike-in would be added to each cell in our experiment. In principle, all the variability we observe for these ``genes’’ is due to technical noise; whereas endogenous genes are affected by both technical noise and biological variability. Technical noise can be removed by fitting a model to the spike-ins and “substracting†this from the endogenous genes. There are several methods available based on this premise (eg. BASiCS, scLVM, RUVg); each using different noise models and different fitting procedures. Alternatively, one can identify genes which exhibit significant variation beyond technical noise (eg. Distance to median, Highly variable genes). Unfortunately, there are major issues with the use of spike-ins for normalisation that limit their utility in practice. Perhaps surprisingly, their variability can, for various reasons, actually be higher than that of endogenous genes. One key reason for the difficulty of their use in practice is the need to pipette miniscule volumes of spike-in solution into The most popular set of spike-ins, namely ERCCs, are derived from bacterial sequences, which raises concerns that their base content and structure diverges to far from gene structure in other biological systems of interest (e.g. mammalian genes) to be reliable for normalisation. Even in the best-case scenarios, spike-ins are limited to use on plate-based platforms; they are fundamentally incompatible with droplet-based platforms. Given the issues with using spike-ins, better results can often be obtained by using endogenous genes instead. Given their limited availability, normalisation methods based only on endogenous genes needed to be developed and we consider them generally preferable, even for platforms where spike-ins may be used. Where we have a large number of endogenous genes that, on average, do not vary systematically between cells and where we expect technical effects to affect a large number of genes (a very common and reasonable assumption), then such methods (for example, the RUVs method) can perform well. We explore both general approaches below. library(scRNA.seq.funcs) library(RUVSeq) library(scater) library(SingleCellExperiment) library(scran) library(kBET) library(sva) # Combat library(edgeR) library(harmony) set.seed(1234567) options(stringsAsFactors = FALSE) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control erccs <- rowData(umi.qc)$is_feature_control ## Apply scran sum factor normalization qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) umi.qc <- normalize(umi.qc) 7.6.2 Linear models Linear models offer a relatively simple approach to accounting for batch effects and confounders. A linear model can correct for batches while preserving biological effects if you have a balanced design. In a confounded/replicate design biological effects will not be fit/preserved. We could remove batch effects from each individual separately in order to preserve biological (and technical) variance between individuals (we will apply a similar with mnnCorrect, below). Depending on how we have pre-processed our scRNA-seq data or what modelling assumptions we are willing to make, we may choose to use normal (Gaussian) linear models (i.e. assuming a normal distribution for noise) or generalized linear models (GLM), where we can use any distribution from the exponential family. Given that we obtain highly-variable count data from scRNA-seq assays, the obvious choice for a GLM is to use the negative binomial distribution, which has proven highly successful in the analysis of bulk RNA-seq data. For demonstration purposes here we will naively correct all confounded batch effects. 7.6.2.1 Gaussian (normal) linear models The limma package in Bioconductor offers a convenient and efficient means to fit a linear model (with the same design matrix) to a dataset with a large number of features (i.e. genes) (Ritchie et al. 2015). An added advantage of limma is its ability to apply empirical Bayes squeezing of variance estimate to improve inference. Provided we are satisfied making the assumption of a Gaussian distribution for residuals (this may be reasonable for normalized log-counts in many cases; but it may not be—debate continues in the literature), then we can apply limma to regress out (known) unwanted sources of variation as follows. ## fit a model just accounting for batch lm_design_batch <- model.matrix(~0 + batch, data = colData(umi.qc)) fit_lm_batch <- lmFit(logcounts(umi.qc), lm_design_batch) resids_lm_batch <- residuals(fit_lm_batch, logcounts(umi.qc)) assay(umi.qc, "lm_batch") <- resids_lm_batch reducedDim(umi.qc, "PCA_lm_batch") <- reducedDim( runPCA(umi.qc[endog_genes, ], exprs_values = "lm_batch"), "PCA") plotReducedDim(umi.qc, use_dimred = "PCA_lm_batch", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("LM - regress out batch") Two problems are immediately apparent with the approach above. First, batch is nested within individual, so simply regressing out batch as we have done above also regresses out differences between individuals that we would like to preserve. Second, we observe that the first principal component seems to separate cells by number of genes (features) expressed, which is undesirable. We can address these concerns by correcting for batch within each individual separately, and also fitting the proportion of genes expressed per cell as a covariate. [NB: to preserve overall differences in expression levels between individuals we will need to apply a slight hack to the LM fit results (setting the intercept coefficient to zero).] Exercise 2 Perform LM correction for each individual separately. Store the final corrected matrix in the lm_batch_indi slot. ## define cellular detection rate (cdr), i.e. proportion of genes expressed in each cell umi.qc$cdr <- umi.qc$total_features_by_counts_endogenous / nrow(umi.qc) ## fit a model just accounting for batch by individual lm_design_batch1 <- model.matrix(~batch + cdr, data = colData(umi.qc)[umi.qc$individual == "na19098",]) fit_indi1 <- lmfit(logcounts(umi.qc)[, umi.qc$individual == "na19098"], lm_design_batch1) fit_indi1$coefficients[,1] <- 0 ## replace intercept with 0 to preserve reference batch resids_lm_batch1 <- residuals(fit_indi1, logcounts(umi.qc)[, umi.qc$individual == "na19098"]) lm_design_batch2 <- model.matrix(~batch + cdr, data = colData(umi.qc)[umi.qc$individual == "na19101",]) fit_indi2 <- lmfit(logcounts(umi.qc)[, umi.qc$individual == "na19101"], lm_design_batch2) fit_indi2$coefficients[,1] <- 0 ## replace intercept with 0 to preserve reference batch resids_lm_batch2 <- residuals(fit_indi2, logcounts(umi.qc)[, umi.qc$individual == "na19101"]) lm_design_batch3 <- model.matrix(~batch + cdr, data = colData(umi.qc)[umi.qc$individual == "na19239",]) fit_indi3 <- lmfit(logcounts(umi.qc)[, umi.qc$individual == "na19239"], lm_design_batch3) fit_indi3$coefficients[,1] <- 0 ## replace intercept with 0 to preserve reference batch resids_lm_batch3 <- residuals(fit_indi3, logcounts(umi.qc)[, umi.qc$individual == "na19239"]) identical(colnames(umi.qc), colnames(cbind(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3))) assay(umi.qc, "lm_batch_indi") <- cbind(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3) reduceddim(umi.qc, "pca_lm_batch_indi") <- reduceddim( runpca(umi.qc[endog_genes, ], exprs_values = "lm_batch_indi"), "pca") plotreduceddim(umi.qc, use_dimred = "pca_lm_batch_indi", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("lm - regress out batch within individuals separately") What do you think of the results of this approach? 7.6.2.2 Negative binomial generalized linear models 7.6.3 sctransform The sctransform approach to using Pearson residuals from an regularized negative binomial generalized linear model was introduced above. Here we demonstrate how to apply this method. Note that (due to what looks like a bug in this version of sctransform) we need to convert the UMI count matrix to a sparse format to apply sctransform. These sctransform results will face the problem mentioned above of batch being nested within individual, which means that we cannot directly remove batch effects without removing differences between individuals. However, here we will demonstrate how you would try to remove batch effects with sctransform for a kinder experimental design. umi_sparse <- as(counts(umi.qc), "dgCMatrix") ### Genes expressed in at least 5 cells will be kept sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1, cell_attr = as.data.frame(colData(umi.qc)), latent_var = c("log10_total_counts_endogenous", "batch")) ## Calculating cell attributes for input UMI matrix ## Variance stabilizing transformation of count matrix of size 14066 by 657 ## Model formula is y ~ log10_total_counts_endogenous + batch ## Get Negative Binomial regression parameters per gene ## Using 2000 genes, 657 cells ## | | | 0% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in sqrt(1/i): NaNs produced ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |======== | 12% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |================ | 25% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |======================== | 38% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |================================ | 50% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |========================================= | 62% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |================================================= | 75% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |========================================================= | 88% ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## Warning in theta.ml(y = y, mu = fit$fitted): iteration limit reached ## | |=================================================================| 100% ## Found 123 outliers - those will be ignored in fitting/regularization step ## Second step: Get residuals using fitted parameters for 14066 genes ## | | | 0% | |= | 2% | |== | 4% | |==== | 5% | |===== | 7% | |====== | 9% | |======= | 11% | |======== | 13% | |========= | 15% | |=========== | 16% | |============ | 18% | |============= | 20% | |============== | 22% | |=============== | 24% | |================= | 25% | |================== | 27% | |=================== | 29% | |==================== | 31% | |===================== | 33% | |====================== | 35% | |======================== | 36% | |========================= | 38% | |========================== | 40% | |=========================== | 42% | |============================ | 44% | |============================== | 45% | |=============================== | 47% | |================================ | 49% | |================================= | 51% | |================================== | 53% | |=================================== | 55% | |===================================== | 56% | |====================================== | 58% | |======================================= | 60% | |======================================== | 62% | |========================================= | 64% | |=========================================== | 65% | |============================================ | 67% | |============================================= | 69% | |============================================== | 71% | |=============================================== | 73% | |================================================ | 75% | |================================================== | 76% | |=================================================== | 78% | |==================================================== | 80% | |===================================================== | 82% | |====================================================== | 84% | |======================================================== | 85% | |========================================================= | 87% | |========================================================== | 89% | |=========================================================== | 91% | |============================================================ | 93% | |============================================================= | 95% | |=============================================================== | 96% | |================================================================ | 98% | |=================================================================| 100% ## Calculating gene attributes ## Wall clock passed: Time difference of 28.12818 secs ## Pearson residuals, or deviance residuals sctnorm_data$model_str ## [1] "y ~ log10_total_counts_endogenous + batch" assay(umi.qc, "sctrans_norm") <- sctnorm_data$y Let us look at the NB GLM model parameters estimated by sctransform. #sce$log10_total_counts ## Matrix of estimated model parameters per gene (theta and regression coefficients) sctransform::plot_model_pars(sctnorm_data) Do these parameters and the regularization look sensible to you? Any concerns? reducedDim(umi.qc, "PCA_sctrans_norm") <- reducedDim( runPCA(umi.qc[endog_genes, ], exprs_values = "sctrans_norm") ) plotReducedDim( umi.qc, use_dimred = "PCA_sctrans_norm", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: sctransform normalization") Figure 7.7: PCA plot of the tung data after sctransform normalisation (Pearson residuals). Q: What’s happened here? Was that expected? Any other comments? 7.6.4 Remove Unwanted Variation Factors contributing to technical noise frequently appear as “batch effects†where cells processed on different days or by different technicians systematically vary from one another. Removing technical noise and correcting for batch effects can frequently be performed using the same tool or slight variants on it. We will be considering the Remove Unwanted Variation (RUVSeq). Briefly, RUVSeq works as follows. For \\(n\\) samples and \\(J\\) genes, consider the following generalized linear model (GLM), where the RNA-Seq read counts are regressed on both the known covariates of interest and unknown factors of unwanted variation: \\[\\log E[Y|W,X,O] = W\\alpha + X\\beta + O\\] Here, \\(Y\\) is the \\(n \\times J\\) matrix of observed gene-level read counts, \\(W\\) is an \\(n \\times k\\) matrix corresponding to the factors of “unwanted variation†and \\(O\\) is an \\(n \\times J\\) matrix of offsets that can either be set to zero or estimated with some other normalization procedure (such as upper-quartile normalization). The simultaneous estimation of \\(W\\), \\(\\alpha\\), \\(\\beta\\), and \\(k\\) is infeasible. For a given \\(k\\), instead the following three approaches to estimate the factors of unwanted variation \\(W\\) are used: RUVg uses negative control genes (e.g. ERCCs), assumed to have constant expression across samples; RUVs uses centered (technical) replicate/negative control samples for which the covariates of interest are constant; RUVr uses residuals, e.g., from a first-pass GLM regression of the counts on the covariates of interest. We will concentrate on the first two approaches. 7.6.4.1 RUVg To use RUVg we will use ERCCs as negative control genes to anchor the estimation of factors representing unwanted variation. RUVg operates on the raw count data. We adjust the output normalized counts from RUVg so that they represent normalized counts-per-million and then apply a log2 transformation. We run RUVg twice, with \\(k=1\\) and \\(k=10\\) so that we can compare the effect of estimating different number of hidden factors to capture unwanted variation in the data. ruvg <- RUVg(counts(umi.qc), erccs, k = 1) assay(umi.qc, "ruvg1") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) ruvg <- RUVg(counts(umi.qc), erccs, k = 10) assay(umi.qc, "ruvg10") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) When we assess the effectiveness of various batch correction methods below, you can discuss whether or not you think using ERCCs as negative control genes for a method like RUVg is advisable (in this dataset and in general). 7.6.4.2 RUVs In this application of RUVs we treat the individuals as replicates for which the covariates of interest are constant. As above, we adjust the output normalized counts from RUVs so that they represent normalized counts-per-million and then apply a log2 transformation. Again, we run the method with \\(k=1\\) and \\(k=10\\) so that we can compare the effect of estimating different number of hidden factors. scIdx <- matrix(-1, ncol = max(table(umi.qc$individual)), nrow = 3) tmp <- which(umi.qc$individual == "NA19098") scIdx[1, 1:length(tmp)] <- tmp tmp <- which(umi.qc$individual == "NA19101") scIdx[2, 1:length(tmp)] <- tmp tmp <- which(umi.qc$individual == "NA19239") scIdx[3, 1:length(tmp)] <- tmp cIdx <- rownames(umi.qc) ruvs <- RUVs(counts(umi.qc), cIdx, k = 1, scIdx = scIdx, isLog = FALSE) assay(umi.qc, "ruvs1") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) ruvs <- RUVs(counts(umi.qc), cIdx, k = 10, scIdx = scIdx, isLog = FALSE) assay(umi.qc, "ruvs10") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) 7.6.5 Combat If you have an experiment with a balanced design, Combat can be used to eliminate batch effects while preserving biological effects by specifying the biological effects using the mod parameter. However the Tung data contains multiple experimental replicates rather than a balanced design so using mod1 to preserve biological variability will result in an error. combat_data <- logcounts(umi.qc) mod_data <- as.data.frame(t(combat_data)) # Basic batch removal mod0 <- model.matrix(~ 1, data = mod_data) # Preserve biological variability mod1 <- model.matrix(~ umi.qc$individual, data = mod_data) # adjust for total genes detected mod2 <- model.matrix(~ umi.qc$total_features_by_counts, data = mod_data) assay(umi.qc, "combat") <- ComBat( dat = t(mod_data), batch = factor(umi.qc$batch), mod = mod0, par.prior = TRUE, prior.plots = FALSE ) ## Standardizing Data across genes Exercise 1 Perform ComBat correction accounting for total features as a co-variate. Store the corrected matrix in the combat_tf slot. 7.6.6 mnnCorrect mnnCorrect (Haghverdi et al. 2017) assumes that each batch shares at least one biological condition with each other batch. Thus it works well for a variety of balanced experimental designs. However, the Tung data contains multiple replicates for each invidividual rather than balanced batches, thus we will normalize each individual separately. Note that this will remove batch effects between batches within the same individual but not the batch effects between batches in different individuals, due to the confounded experimental design. Thus we will merge a replicate from each individual to form three batches. do_mnn <- function(data.qc) { batch1 <- logcounts(data.qc[, data.qc$replicate == "r1"]) batch2 <- logcounts(data.qc[, data.qc$replicate == "r2"]) batch3 <- logcounts(data.qc[, data.qc$replicate == "r3"]) if (ncol(batch2) > 0) { x <- batchelor::mnnCorrect( batch1, batch2, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } else { x <- batchelor::mnnCorrect( batch1, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } } indi1 <- do_mnn(umi.qc[, umi.qc$individual == "NA19098"]) indi2 <- do_mnn(umi.qc[, umi.qc$individual == "NA19101"]) indi3 <- do_mnn(umi.qc[, umi.qc$individual == "NA19239"]) identical(colnames(umi.qc), colnames(cbind(indi1, indi2, indi3))) ## [1] TRUE assay(umi.qc, "mnn") <- assay(cbind(indi1, indi2, indi3), "corrected") # For a balanced design: #assay(umi.qc, "mnn") <- mnnCorrect( # list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), # k = 20, # sigma = 0.1, # cos.norm = TRUE, # svd.dim = 2 #) The latest version of the batchelor package has a new fastMNN() method. The fastMNN() function performs a principal components (PCA). MNN identification and correction is preformed on this low-dimensional representation of the data, an approach that offers some advantages in speed and denoising. The function returns a SingleCellExperiment object containing a matrix of corrected PC scores, which can be used directly for downstream analyses like clustering and visualization. [NB: fastMNN may actually be slower on small datasets like that considered here.] indi1 <- batchelor::fastMNN( umi.qc[, umi.qc$individual == "NA19098"], batch = umi.qc[, umi.qc$individual == "NA19098"]$replicate) ## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or ## derivative indi2 <- batchelor::fastMNN( umi.qc[, umi.qc$individual == "NA19101"], batch = umi.qc[, umi.qc$individual == "NA19101"]$replicate) ## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or ## derivative indi3 <- batchelor::fastMNN( umi.qc[, umi.qc$individual == "NA19239"], batch = umi.qc[, umi.qc$individual == "NA19239"]$replicate) ## Warning in sweep(centered, 2, w, "/", check.margin = FALSE): 'check.margin' is ignored when 'x' is a DelayedArray object or ## derivative identical(colnames(umi.qc), colnames(cbind(assay(indi1, "reconstructed"), assay(indi2, "reconstructed"), assay(indi3, "reconstructed")))) ## [1] TRUE fastmnn <- cbind(assay(indi1, "reconstructed"), assay(indi2, "reconstructed"), assay(indi3, "reconstructed")) identical(rownames(umi.qc), rownames(fastmnn)) ## [1] FALSE ## fastMNN() drops 66 genes, so we cannot immediately add the reconstructed expression matrix to assays() in umi.qc ## But we can run PCA on the reconstructed data from fastMNN() and add that to the reducedDim slot of our SCE object fastmnn_pca <- runPCA(fastmnn, rank=2) reducedDim(umi.qc, "fastmnn") <- fastmnn_pca$rotation For further details, please consult the batchelor package documentation and vignette. 7.6.7 Harmony Harmony [Korsunsky2018fast] is a newer batch correction method, which is designed to operate on PC space. The algorithm proceeds to iteratively cluster the cells, with the objective function formulated to promote cells from multiple datasets within each cluster. Once a clustering is obtained, the positions of the centroids of each dataset are obtained on a per-cluster basis and the coordinates are corrected. This procedure is iterated until convergence. Harmony comes with a theta parameter that controls the degree of batch correction (higher values lead to more dataset integration), and can account for multiple experimental and biological factors on input. Seeing how the end result of Harmony is an altered dimensional reduction space created on the basis of PCA, we plot the obtained manifold here and exclude it from the rest of the follow-ups in the section. umi.qc.endog <- umi.qc[endog_genes,] umi.qc.endog <- runPCA(umi.qc.endog, exprs_values = 'logcounts', ncomponents = 20) pca <- as.matrix(reducedDim(umi.qc.endog, "PCA")) harmony_emb <- HarmonyMatrix(pca, umi.qc.endog$batch, theta=2, do_pca=FALSE) ## Harmony 1/10 ## Harmony 2/10 ## Harmony 3/10 ## Harmony 4/10 ## Harmony 5/10 ## Harmony 6/10 ## Harmony 7/10 ## Harmony 8/10 ## Harmony 9/10 ## Harmony 10/10 reducedDim(umi.qc.endog, "harmony") <- harmony_emb plotReducedDim( umi.qc.endog, use_dimred = 'harmony', colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) reducedDim(umi.qc, "harmony") <- reducedDim(umi.qc.endog, "harmony") 7.6.8 How to evaluate and compare batch correction A key question when considering the different methods for removing confounders is how to quantitatively determine which one is the most effective. The main reason why comparisons are challenging is because it is often difficult to know what corresponds to technical counfounders and what is interesting biological variability. Here, we consider three different metrics which are all reasonable based on our knowledge of the experimental design. Depending on the biological question that you wish to address, it is important to choose a metric that allows you to evaluate the confounders that are likely to be the biggest concern for the given situation. 7.6.8.1 Effectiveness 1 We evaluate the effectiveness of the normalization by inspecting the PCA plot where colour corresponds the technical replicates and shape corresponds to different biological samples (individuals). Separation of biological samples and interspersed batches indicates that technical variation has been removed. We always use log2-cpm normalized data to match the assumptions of PCA. for (nm in assayNames(umi.qc)) { cat(nm, " \\n") tmp <- runPCA( umi.qc[endog_genes, ], exprs_values = nm ) reducedDim(umi.qc, paste0("PCA_", nm)) <- reducedDim(tmp, "PCA") } ## counts ## logcounts_raw ## logcounts ## sctrans_norm ## ruvg1 ## ruvg10 ## ruvs1 ## ruvs10 ## combat ## mnn for (nm in reducedDimNames(umi.qc)) { print( plotReducedDim( umi.qc, use_dimred = nm, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle(nm) ) } Exercise 3 Consider different k’s for RUV normalizations. Which gives the best results? 7.6.8.2 Effectiveness 2 We can also examine the effectiveness of correction using the relative log expression (RLE) across cells to confirm technical noise has been removed from the dataset. Note RLE only evaluates whether the number of genes higher and lower than average are equal for each cell - i.e. systemic technical effects. Random technical noise between batches may not be detected by RLE. res <- list() for(n in assayNames(umi.qc)) { res[[n]] <- suppressWarnings(calc_cell_RLE(assay(umi.qc, n), erccs)) } par(mar=c(6,4,1,1)) boxplot(res, las=2) 7.6.8.3 Effectiveness 3 Another method to check the efficacy of batch-effect correction is to consider the intermingling of points from different batches in local subsamples of the data. If there are no batch-effects then proportion of cells from each batch in any local region should be equal to the global proportion of cells in each batch. kBET (Buttner et al. 2017) takes kNN networks around random cells and tests the number of cells from each batch against a binomial distribution. The rejection rate of these tests indicates the severity of batch-effects still present in the data (high rejection rate = strong batch effects). kBET assumes each batch contains the same complement of biological groups, thus it can only be applied to the entire dataset if a perfectly balanced design has been used. However, kBET can also be applied to replicate-data if it is applied to each biological group separately. In the case of the Tung data, we will apply kBET to each individual independently to check for residual batch effects. However, this method will not identify residual batch-effects which are confounded with biological conditions. In addition, kBET does not determine if biological signal has been preserved. compare_kBET_results <- function(sce){ indiv <- unique(sce$individual) norms <- assayNames(sce) # Get all normalizations results <- list() for (i in indiv){ for (j in norms){ tmp <- kBET( df = t(assay(sce[,sce$individual== i], j)), batch = sce$batch[sce$individual==i], heuristic = TRUE, verbose = FALSE, addTest = FALSE, plot = FALSE) results[[i]][[j]] <- tmp$summary$kBET.observed[1] } } return(as.data.frame(results)) } eff_debatching <- compare_kBET_results(umi.qc) require("reshape2") require("RColorBrewer") # Plot results dod <- melt(as.matrix(eff_debatching), value.name = "kBET") colnames(dod)[1:2] <- c("Normalisation", "Individual") colorset <- c('gray', brewer.pal(n = 9, "Oranges")) ggplot(dod, aes(Normalisation, Individual, fill=kBET)) + geom_tile() + scale_fill_gradient2( na.value = "gray", low = colorset[2], mid=colorset[6], high = colorset[10], midpoint = 0.5, limit = c(0,1)) + scale_x_discrete(expand = c(0, 0)) + scale_y_discrete(expand = c(0, 0)) + theme( axis.text.x = element_text( angle = 45, vjust = 1, size = 12, hjust = 1 ) ) + ggtitle("Effect of batch regression methods per individual") Exercise 4 Why do the raw counts appear to have little batch effects? 7.6.9 Big Exercise Perform the same analysis with read counts of the tung data. Use tung/reads.rds file to load the reads SCE object. Once you have finished please compare your results to ours (next chapter). Additionally, experiment with other combinations of normalizations and compare the results. 7.6.10 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] stats4 parallel stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] RColorBrewer_1.1-2 reshape2_1.4.3 ## [3] harmony_1.0 Rcpp_1.0.2 ## [5] sva_3.32.1 genefilter_1.66.0 ## [7] mgcv_1.8-28 nlme_3.1-139 ## [9] kBET_0.99.6 scran_1.12.1 ## [11] scater_1.12.2 ggplot2_3.2.1 ## [13] SingleCellExperiment_1.6.0 RUVSeq_1.18.0 ## [15] edgeR_3.26.8 limma_3.40.6 ## [17] EDASeq_2.18.0 ShortRead_1.42.0 ## [19] GenomicAlignments_1.20.1 SummarizedExperiment_1.14.1 ## [21] DelayedArray_0.10.0 matrixStats_0.55.0 ## [23] Rsamtools_2.0.1 GenomicRanges_1.36.1 ## [25] GenomeInfoDb_1.20.0 Biostrings_2.52.0 ## [27] XVector_0.24.0 IRanges_2.18.3 ## [29] S4Vectors_0.22.1 BiocParallel_1.18.1 ## [31] Biobase_2.44.0 BiocGenerics_0.30.0 ## [33] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] backports_1.1.4 aroma.light_3.14.0 ## [3] plyr_1.8.4 igraph_1.2.4.1 ## [5] lazyeval_0.2.2 splines_3.6.0 ## [7] listenv_0.7.0 elliptic_1.4-0 ## [9] digest_0.6.21 htmltools_0.3.6 ## [11] viridis_0.5.1 magrittr_1.5 ## [13] memoise_1.1.0 contfrac_1.1-12 ## [15] cluster_2.1.0 globals_0.12.4 ## [17] annotate_1.62.0 R.utils_2.9.0 ## [19] prettyunits_1.0.2 colorspace_1.4-1 ## [21] blob_1.2.0 xfun_0.9 ## [23] dplyr_0.8.3 crayon_1.3.4 ## [25] RCurl_1.95-4.12 zeallot_0.1.0 ## [27] survival_2.43-3 glue_1.3.1 ## [29] gtable_0.3.0 zlibbioc_1.30.0 ## [31] BiocSingular_1.0.0 future.apply_1.3.0 ## [33] scales_1.0.0 DESeq_1.36.0 ## [35] DBI_1.0.0 viridisLite_0.3.0 ## [37] xtable_1.8-4 progress_1.2.2 ## [39] dqrng_0.2.1 bit_1.1-14 ## [41] rsvd_1.0.2 deSolve_1.24 ## [43] httr_1.4.1 FNN_1.1.3 ## [45] pkgconfig_2.0.3 XML_3.98-1.20 ## [47] R.methodsS3_1.7.1 locfit_1.5-9.1 ## [49] dynamicTreeCut_1.63-1 tidyselect_0.2.5 ## [51] labeling_0.3 rlang_0.4.0 ## [53] AnnotationDbi_1.46.1 munsell_0.5.0 ## [55] tools_3.6.0 moments_0.14 ## [57] RSQLite_2.1.2 batchelor_1.0.1 ## [59] evaluate_0.14 stringr_1.4.0 ## [61] yaml_2.2.0 knitr_1.25 ## [63] bit64_0.9-7 hypergeo_1.2-13 ## [65] purrr_0.3.2 future_1.14.0 ## [67] R.oo_1.22.0 biomaRt_2.40.4 ## [69] compiler_3.6.0 beeswarm_0.2.3 ## [71] tibble_2.1.3 statmod_1.4.32 ## [73] geneplotter_1.62.0 stringi_1.4.3 ## [75] highr_0.8 GenomicFeatures_1.36.4 ## [77] lattice_0.20-38 Matrix_1.2-17 ## [79] vctrs_0.2.0 lifecycle_0.1.0 ## [81] pillar_1.4.2 BiocNeighbors_1.2.0 ## [83] cowplot_1.0.0 bitops_1.0-6 ## [85] orthopolynom_1.0-5 irlba_2.3.3 ## [87] rtracklayer_1.44.4 R6_2.4.0 ## [89] latticeExtra_0.6-28 hwriter_1.3.2 ## [91] bookdown_0.13 gridExtra_2.3 ## [93] vipor_0.4.5 codetools_0.2-16 ## [95] MASS_7.3-51.1 assertthat_0.2.1 ## [97] withr_2.1.2 sctransform_0.2.0 ## [99] GenomeInfoDbData_1.2.1 hms_0.5.1 ## [101] grid_3.6.0 tidyr_1.0.0 ## [103] rmarkdown_1.15 DelayedMatrixStats_1.6.1 ## [105] Rtsne_0.15 ggbeeswarm_0.6.0 7.7 Dealing with confounders (Reads) library(scRNA.seq.funcs) library(RUVSeq) library(scater) library(SingleCellExperiment) library(scran) library(kBET) library(sva) # Combat library(harmony) library(edgeR) set.seed(1234567) options(stringsAsFactors = FALSE) reads <- readRDS("data/tung/reads.rds") reads.qc <- reads[rowData(reads)$use, colData(reads)$use] endog_genes <- !rowData(reads.qc)$is_feature_control erccs <- rowData(reads.qc)$is_feature_control qclust <- quickCluster(reads.qc, min.size = 30) reads.qc <- computeSumFactors(reads.qc, sizes = 15, clusters = qclust) reads.qc <- normalize(reads.qc) ruvg <- RUVg(counts(reads.qc), erccs, k = 1) assay(reads.qc, "ruvg1") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) ruvg <- RUVg(counts(reads.qc), erccs, k = 10) assay(reads.qc, "ruvg10") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) scIdx <- matrix(-1, ncol = max(table(reads.qc$individual)), nrow = 3) tmp <- which(reads.qc$individual == "NA19098") scIdx[1, 1:length(tmp)] <- tmp tmp <- which(reads.qc$individual == "NA19101") scIdx[2, 1:length(tmp)] <- tmp tmp <- which(reads.qc$individual == "NA19239") scIdx[3, 1:length(tmp)] <- tmp cIdx <- rownames(reads.qc) ruvs <- RUVs(counts(reads.qc), cIdx, k = 1, scIdx = scIdx, isLog = FALSE) assay(reads.qc, "ruvs1") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) ruvs <- RUVs(counts(reads.qc), cIdx, k = 10, scIdx = scIdx, isLog = FALSE) assay(reads.qc, "ruvs10") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) combat_data <- logcounts(reads.qc) mod_data <- as.data.frame(t(combat_data)) # Basic batch removal mod0 = model.matrix(~ 1, data = mod_data) # Preserve biological variability mod1 = model.matrix(~ reads.qc$individual, data = mod_data) # adjust for total genes detected mod2 = model.matrix(~ reads.qc$total_features_by_counts, data = mod_data) assay(reads.qc, "combat") <- ComBat( dat = t(mod_data), batch = factor(reads.qc$batch), mod = mod0, par.prior = TRUE, prior.plots = FALSE ) Exercise 1 do_mnn <- function(data.qc) { batch1 <- logcounts(data.qc[, data.qc$replicate == "r1"]) batch2 <- logcounts(data.qc[, data.qc$replicate == "r2"]) batch3 <- logcounts(data.qc[, data.qc$replicate == "r3"]) if (ncol(batch2) > 0) { x <- batchelor::mnnCorrect( batch1, batch2, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } else { x <- batchelor::mnnCorrect( batch1, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } } indi1 <- do_mnn(reads.qc[, reads.qc$individual == "NA19098"]) indi2 <- do_mnn(reads.qc[, reads.qc$individual == "NA19101"]) indi3 <- do_mnn(reads.qc[, reads.qc$individual == "NA19239"]) assay(reads.qc, "mnn") <- cbind(indi1, indi2, indi3) # For a balanced design: #assay(reads.qc, "mnn") <- mnnCorrect( # list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), # k = 20, # sigma = 0.1, # cos.norm = TRUE, # svd.dim = 2 #) glm_fun <- function(g, batch, indi) { model <- glm(g ~ batch + indi) model$coef[1] <- 0 # replace intercept with 0 to preserve reference batch. return(model$coef) } effects <- apply( logcounts(reads.qc), 1, glm_fun, batch = reads.qc$batch, indi = reads.qc$individual ) corrected <- logcounts(reads.qc) - t(effects[as.numeric(factor(reads.qc$batch)), ]) assay(reads.qc, "glm") <- corrected Exercise 2 reads.qc.endog = reads.qc[endog_genes,] reads.qc.endog = runPCA(reads.qc.endog, exprs_values = 'logcounts', ncomponents = 20) pca <- as.matrix(reads.qc.endog@reducedDims@listData[["PCA"]]) harmony_emb <- HarmonyMatrix(pca, reads.qc.endog$batch, theta=2, do_pca=FALSE) reads.qc.endog@reducedDims@listData[['harmony']] <- harmony_emb plotReducedDim( reads.qc.endog, use_dimred = 'harmony', colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) for(n in assayNames(reads.qc)) { tmp <- runPCA( reads.qc[endog_genes, ], exprs_values = n ) print( plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle(n) ) } res <- list() for(n in assayNames(reads.qc)) { res[[n]] <- suppressWarnings(calc_cell_RLE(assay(reads.qc, n), erccs)) } par(mar=c(6,4,1,1)) boxplot(res, las=2) compare_kBET_results <- function(sce){ indiv <- unique(sce$individual) norms <- assayNames(sce) # Get all normalizations results <- list() for (i in indiv){ for (j in norms){ tmp <- kBET( df = t(assay(sce[,sce$individual== i], j)), batch = sce$batch[sce$individual==i], heuristic = TRUE, verbose = FALSE, addTest = FALSE, plot = FALSE) results[[i]][[j]] <- tmp$summary$kBET.observed[1] } } return(as.data.frame(results)) } eff_debatching <- compare_kBET_results(reads.qc) require("reshape2") require("RColorBrewer") # Plot results dod <- melt(as.matrix(eff_debatching), value.name = "kBET") colnames(dod)[1:2] <- c("Normalisation", "Individual") colorset <- c('gray', brewer.pal(n = 9, "RdYlBu")) ggplot(dod, aes(Normalisation, Individual, fill=kBET)) + geom_tile() + scale_fill_gradient2( na.value = "gray", low = colorset[2], mid=colorset[6], high = colorset[10], midpoint = 0.5, limit = c(0,1)) + scale_x_discrete(expand = c(0, 0)) + scale_y_discrete(expand = c(0, 0)) + theme( axis.text.x = element_text( angle = 45, vjust = 1, size = 12, hjust = 1 ) ) + ggtitle("Effect of batch regression methods per individual") 7.8 Feature Selection library(scRNA.seq.funcs) library(matrixStats) library(M3Drop) library(RColorBrewer) library(SingleCellExperiment) library(Polychrome) library(scater) library(scran) set.seed(1) Single-cell RNASeq is capable of measuring the expression of many thousands of genes in every cell. However, in most situations only a portion of those will show a response to the biological condition of interest, e.g. differences in cell-type, drivers of differentiation, respond to an environmental stimulus. Most genes detected in a scRNASeq experiment will only be detected at different levels due to technical noise. One consequence of this is that technical noise and batch effects can obscure the biological signal of interest. Thus, it is often advantageous to perform feature selection to remove those genes which only exhibit technical noise from downstream analysis. Not only does this generally increase the signal:noise ratio in the data; it also reduces the computational complexity of analyses, by reducing the total amount of data to be processed. For scRNASeq data, we will be focusing on unsupervised methods of feature selection which don’t require any a priori information, such as cell-type labels or biological group, since they are not available, or may be unreliable, for many experiments. In contrast, differential expression (chapter 12) can be considered a form of supervised feature selection since it uses the known biological label of each sample to identify features (i.e. genes) which are expressed at different levels across groups. For this section we will continue working with the Deng data. deng <- readRDS("data/deng/deng-reads.rds") celltype_labs <- colData(deng)$cell_type2 cell_colors <- createPalette(10, c("#010101", "#ff0000"), M=1000) names(cell_colors) <- unique(as.character(celltype_labs)) Feature selection is performed after QC, however this data has already been QCed so we can skip that step here. M3Drop contain two different feature selection methods “M3DropFeatureSelection†which is based on a Michaelis-Menten curve and is designed for full-transcript single-cell RNA-seq data (such as Smartseq2) and “NBumiFeatureSelectionCombinedDrop†which is based on a negative binomial model and is designed for UMI count data. We will demonstrate both on the Deng Smartseq2 data. M3Drop feature selection is runs direction on a normalized (but not log-transformed) expression matrix. This can be extracted from our SingleCellExperiment object using the command below. expr_matrix <- M3Drop::M3DropConvertData(deng) ## [1] "Removing 1134 undetected genes." This function is compatible with most single-cell RNA-seq analysis packages including: scater, SingleCellExperiment, monocle, and Seurat. It can also convert an existing expression matrix to the correct form (removing undetected genes & normalizing/delogging) if you specify whether the matrix is raw counts, or log transformed. Check the manual for details: ?M3Drop::M3DropConvertData Exercise 1: Confirm that the conversion function has removed undetected genes: 7.8.1 Identifying Genes vs a Null Model There are two main approaches to unsupervised feature selection. The first is to identify genes which behave differently from a null model describing just the technical noise expected in the dataset. If the dataset contains spike-in RNAs they can be used to directly model technical noise. However, measurements of spike-ins may not experience the same technical noise as endogenous transcripts (Svensson et al., 2017). In addition, scRNASeq experiments often contain only a small number of spike-ins which reduces our confidence in fitted model parameters. 7.8.1.1 Highly Variable Genes - Brennecke method The first method proposed to identify features in scRNASeq datasets was to identify highly variable genes (HVG). HVG assumes that if genes have large differences in expression across cells some of those differences are due to biological difference between the cells rather than technical noise. However, because of the nature of count data, there is a positive relationship between the mean expression of a gene and the variance in the read counts across cells. This relationship must be corrected for to properly identify HVGs. Exercise 2 Using the functions rowMeans and rowVars to plot the relationship between mean expression and variance for all genes in this dataset. (Hint: use log=“xy†to plot on a log-scale). An early method to correct for the relationship between variance and mean expression was proposed by Brennecke et al.. To use the Brennecke method, we first normalize for library size then calculate the mean and the square coefficient of variation (variation divided by the squared mean expression). A quadratic curve is fit to the relationship between these two variables for the ERCC spike-in, and then a chi-square test is used to find genes significantly above the curve. This method is included in the M3Drop package as the Brennecke_getVariableGenes(counts, spikes) function. However, this dataset does not contain spike-ins so we will use the entire dataset to estimate the technical noise. In the figure below the red curve is the fitted technical noise model and the dashed line is the 95% CI. Pink dots are the genes with significant biological variability after multiple-testing correction. Brennecke_HVG <- BrenneckeGetVariableGenes( expr_matrix, fdr = 0.01, minBiolDisp = 0.5 ) This function returns a matrix of significant genes as well as their estimated effect size (difference between observed and expected coefficient of variation), and their significance as raw p.values and FDR corrected q.values. For now we will just keep the names of the significant HVG genes. HVG_genes <- Brennecke_HVG$Gene Exercise 3 How many genes were signifcant using BrenneckeGetVariableGenes? ## [1] 1303 7.8.1.2 Highly Variable Genes - simpleSingleCell method The Bioconductor simpleSingleCell workflow has a great deal of excellent material to help your analyses. Here, we show how to identify highly variable genes using functionality from the scran package. This method assumes that technical variance is captured by a Poisson distribution, and that variance beyond that explained by a Poisson distribution represents biological variance of interest. This approach separates the biological component of the variance from the technical component and thus can rank genes based on their “biological†variance. This model also provides p-values (with FDR adjustment) that can be used to identify the set of “significant†highly variable genes at a given significance level. ### mamke a technical trend of variance based on Poisson var.fit <- trendVar(deng, parametric=TRUE, loess.args=list(span=0.4), use.spikes = FALSE) var.out <- decomposeVar(deng, var.fit) plot(var.out$mean, var.out$total, pch=16, cex=0.6, xlab="Mean log-expression", ylab="Variance of log-expression") points(var.out$mean[isSpike(deng)], var.out$total[isSpike(deng)], col="red", pch=16) curve(var.fit$trend(x), col="dodgerblue", add=TRUE, lwd=2) chosen.genes <- order(var.out$bio, decreasing=TRUE)[1:10] plotExpression(deng, rownames(var.out)[chosen.genes], point_alpha=0.5, jitter_type="jitter") top.dec <- var.out[order(var.out$bio, decreasing=TRUE),] # the highly variable genes with largest biological components head(top.dec) ## DataFrame with 6 rows and 6 columns ## mean total bio ## <numeric> <numeric> <numeric> ## Obox6 7.0852220910669 39.7469062194493 27.7222625676479 ## BC053393 6.23846872763624 36.7868129334449 22.7409221497424 ## Krt18 8.06957111931139 30.7163256353151 21.3338604240051 ## Upp1 6.70443458808406 32.9196031154138 19.9537242012223 ## Akr1b8 9.31035205790714 25.9351262454146 19.563014227718 ## Spp1 5.52672835522051 34.8140952020968 19.5492807120572 ## tech p.value FDR ## <numeric> <numeric> <numeric> ## Obox6 12.0246436518013 6.67046481158613e-67 4.98750653962295e-64 ## BC053393 14.0458907837025 1.89687518927716e-40 5.90955657926056e-38 ## Krt18 9.38246521130992 1.28064383710762e-65 9.26649093876163e-63 ## Upp1 12.9658789141915 1.39045180596497e-37 3.89865305745004e-35 ## Akr1b8 6.37211201769662 2.70679041028919e-99 5.51963779029062e-96 ## Spp1 15.2648144900397 9.4641203490752e-29 1.76908069625088e-26 simplesinglecell_genes <- rownames(top.dec)[top.dec$FDR < 0.001] table(top.dec$FDR < 0.001) ## ## FALSE TRUE ## 21124 1307 If we set an FDR threshold of 0.1%, this approach identifies around 1300 highly variable genes. The output of this variance modelling can be used as input to a denoisePCA() function to compute “denoised†principal components for clustering and other downstream analyses (details not shown here; please see the simpleSingleCell workflow). 7.8.1.3 High Dropout Genes An alternative to finding HVGs is to identify genes with unexpectedly high numbers of zeros. The frequency of zeros, known as the “dropout rateâ€, is very closely related to expression level in scRNASeq data. Zeros are the dominant feature of single-cell RNASeq data, typically accounting for over half of the entries in the final expression matrix. These zeros predominantly result from the failure of mRNAs failing to be reversed transcribed (Andrews and Hemberg, 2016). Reverse transcription is an enzyme reaction thus can be modelled using the Michaelis-Menten equation: \\[P_{dropout} = 1 - S/(K + S)\\] where \\(S\\) is the mRNA concentration in the cell (we will estimate this as average expression) and \\(K\\) is the Michaelis-Menten constant. Because the Michaelis-Menten equation is a convex non-linear function, genes which are differentially expression across two or more populations of cells in our dataset will be shifted up/right of the Michaelis-Menten model (see Figure below). K <- 49 S_sim <- 10^seq(from = -3, to = 4, by = 0.05) # range of expression values MM <- 1 - S_sim / (K + S_sim) plot( S_sim, MM, type = "l", lwd = 3, xlab = "Expression", ylab = "Dropout Rate", xlim = c(1,1000) ) S1 <- 10 # Mean expression in population 1 P1 <- 1 - S1 / (K + S1) # Dropouts for cells in condition 1 S2 <- 750 # Mean expression in population 2 P2 <- 1 - S2 / (K + S2) # Dropouts for cells in condition 2 points( c(S1, S2), c(P1, P2), pch = 16, col = "grey85", cex = 3 ) mix <- 0.5 # proportion of cells in condition 1 points( S1 * mix + S2 * (1 - mix), P1 * mix + P2 * (1 - mix), pch = 16, col = "grey35", cex = 3 ) Note: add log="x" to the plot call above to see how this looks on the log scale, which is used in M3Drop figures. Exercise 4: Produce the same plot as above with different expression levels (S1 & S2) and/or mixtures (mix). We use M3Drop to identify significant outliers to the right of the MM curve. We also apply 1% FDR multiple testing correction: M3Drop_genes <- M3DropFeatureSelection( expr_matrix, mt_method = "fdr", mt_threshold = 0.01 ) M3Drop_genes <- M3Drop_genes$Gene An alternative method is contained in the M3Drop package that is tailored specifically for UMI-tagged data which generally contains many zeros resulting from low sequencing coverage in addition to those resulting from insufficient reverse-transcription. This model is the Depth-Adjusted Negative Binomial (DANB). This method describes each expression observation as a negative binomial model with a mean related to both the mean expression of the respective gene and the sequencing depth of the respective cell, and a variance related to the mean-expression of the gene. This method is designed to model the raw counts in a dataset directly, and we can extract the appropriate matrix using the “NBumiConvertData†function similar to M3Drop. However, we have an extra step for fitting the model since that is the slowest step of the method and we are currently working on additional methods that can use this model information for other things (such as normalization, co-expression testing, highly variable gene detection). This method includes a binomial test of the significance of each feature, but since the Deng data is not UMI counts the model does not fit the noise sufficiently and far too many genes will be called as significant. Thus we will take the top 1500 by effect size. deng_int <- NBumiConvertData(deng) ## [1] "Removing 1134 undetected genes." DANB_fit <- NBumiFitModel(deng_int) # DANB is fit to the raw count matrix # Perform DANB feature selection DropFS <- NBumiFeatureSelectionCombinedDrop(DANB_fit, method="fdr", qval.thresh=0.01, suppress.plot=FALSE) DANB_genes <- DropFS[1:1500,]$Gene Exercise 5 How many genes were signifcant using NBumiFeatureSelectionCombinedDrop? ## [1] 10694 7.8.1.4 Residual variance from a (regularized) negative binomial model In the normalization chapter we introduced the sctransform approach to using Pearson residuals from an regularized negative binomial generalized linear model to normalize scRNA-seq data. The residual variance of genes (i.e. the variance of the Pearson residuals) provides a way to identify highly variable genes, where the “variance†is decoupled from the average level of expression of the gene. The residual variance is easily accessible from the sctransform output as we show below. First, we run sctransform as we did previously. deng_sparse <- as(counts(deng), "dgCMatrix") ### Genes expressed in at least 5 cells will be kept sctnorm_data <- sctransform::vst(umi = deng_sparse, min_cells = 1, cell_attr = as.data.frame(colData(deng)), latent_var = "log10_total_counts_endogenous") ## | | | 0% | |======== | 12% | |================ | 25% | |======================== | 38% | |================================ | 50% | |========================================= | 62% | |================================================= | 75% | |========================================================= | 88% | |=================================================================| 100% ## | | | 0% | |= | 1% | |== | 2% | |== | 4% | |=== | 5% | |==== | 6% | |===== | 7% | |===== | 8% | |====== | 10% | |======= | 11% | |======== | 12% | |========= | 13% | |========= | 14% | |========== | 15% | |=========== | 17% | |============ | 18% | |============ | 19% | |============= | 20% | |============== | 21% | |=============== | 23% | |=============== | 24% | |================ | 25% | |================= | 26% | |================== | 27% | |=================== | 29% | |=================== | 30% | |==================== | 31% | |===================== | 32% | |====================== | 33% | |====================== | 35% | |======================= | 36% | |======================== | 37% | |========================= | 38% | |========================== | 39% | |========================== | 40% | |=========================== | 42% | |============================ | 43% | |============================= | 44% | |============================= | 45% | |============================== | 46% | |=============================== | 48% | |================================ | 49% | |================================ | 50% | |================================= | 51% | |================================== | 52% | |=================================== | 54% | |==================================== | 55% | |==================================== | 56% | |===================================== | 57% | |====================================== | 58% | |======================================= | 60% | |======================================= | 61% | |======================================== | 62% | |========================================= | 63% | |========================================== | 64% | |=========================================== | 65% | |=========================================== | 67% | |============================================ | 68% | |============================================= | 69% | |============================================== | 70% | |============================================== | 71% | |=============================================== | 73% | |================================================ | 74% | |================================================= | 75% | |================================================== | 76% | |================================================== | 77% | |=================================================== | 79% | |==================================================== | 80% | |===================================================== | 81% | |===================================================== | 82% | |====================================================== | 83% | |======================================================= | 85% | |======================================================== | 86% | |======================================================== | 87% | |========================================================= | 88% | |========================================================== | 89% | |=========================================================== | 90% | |============================================================ | 92% | |============================================================ | 93% | |============================================================= | 94% | |============================================================== | 95% | |=============================================================== | 96% | |=============================================================== | 98% | |================================================================ | 99% | |=================================================================| 100% sctnorm_data$model_str ## [1] "y ~ log10_total_counts_endogenous" library(ggplot2) ggplot(sctnorm_data$gene_attr, aes(residual_variance)) + geom_histogram(binwidth=0.1) + geom_vline(xintercept=1, color='red') + xlim(0, 10) sctnorm_data$gene_attr$label <- rownames(sctnorm_data$gene_attr) ggplot(sctnorm_data$gene_attr, aes(x = gmean, y=residual_variance)) + geom_point(alpha = 0.6) + geom_point(colour = "firebrick2", data = sctnorm_data$gene_attr[sctnorm_data$gene_attr$residual_variance > 3,]) + scale_x_log10() + geom_hline(yintercept = 1, size = 3, color = "dodgerblue") + geom_label(aes(label = label), data = sctnorm_data$gene_attr[sctnorm_data$gene_attr$residual_variance > 30,]) + theme_bw() sct_genes <- rownames(sctnorm_data$gene_attr)[sctnorm_data$gene_attr$residual_variance > 4] table(sctnorm_data$gene_attr$residual_variance > 4) ## ## FALSE TRUE ## 20077 1220 If we set a (relatively arbitrary) threshold of a residual variance greater than three marking a “highly variable geneâ€, then we identify around 2000 highly variable genes with this sctransform approach. [NB: the deng data is extremely high depth for scRNA-seq data, so not the most applicable dataset for sctransform, but we include this analysis here to demonstrate the method rather than make any evaluation of its performance in general.] Although not explored here, the deviance statistic from the regularized NB GLM fit provides a natural way to select informative features for downstream analyses. The deviance is a goodness-of-fit statistic for a statistical model. As Wikipedia notes, deviance is a generalization of the idea of using the sum of squares of residuals in ordinary least squares to cases where model-fitting is achieved by maximum likelihood. It plays an important role in exponential dispersion models and generalized linear models, such as the negative binomial model. However, sctransform does not seem set up to use the model deviance to select informative features, but we expect this could be a direction the field goes in the near future. Keep an eye out! 7.8.2 Correlated Expression A completely different approach to feature selection is to use gene-gene correlations. This method is based on the idea that multiple genes will be differentially expressed between different cell-types or cell-states. Genes which are expressed in the same cell-population will be positively correlated with each other where as genes expressed in different cell-populations will be negatively correated with each other. Thus important genes can be identified by the magnitude of their correlation with other genes. The limitation of this method is that it assumes technical noise is random and independent for each cell, thus shouldn’t produce gene-gene correlations, but this assumption is violated by batch effects which are generally systematic between different experimental batches and will produce gene-gene correlations. As a result it is more appropriate to take the top few thousand genes as ranked by gene-gene correlation than consider the significance of the correlations. cor_feat <- M3Drop::corFS(expr_matrix) Cor_genes <- names(cor_feat)[1:1500] 7.8.3 Comparing Methods We can check whether the identified features really do represent genes differentially expressed between cell-types in this dataset. M3DropExpressionHeatmap( M3Drop_genes, expr_matrix, cell_labels = celltype_labs ) We can also consider how consistent each feature selection method is with the others using the Jaccard Index: J <- sum(M3Drop_genes %in% HVG_genes)/length(unique(c(M3Drop_genes, HVG_genes))) Exercise 6 Plot the expression of the features for each of the other methods. Which appear to be differentially expressed? How consistent are the different methods for this dataset? M3DropExpressionHeatmap( DANB_genes, expr_matrix, cell_labels = celltype_labs ) Jaccard index comparison of sets of informative features: list_of_features <- list( M3Drop_genes, DANB_genes, HVG_genes, simplesinglecell_genes, sct_genes ) Out <- matrix( 0, ncol = length(list_of_features), nrow = length(list_of_features) ) for(i in 1:length(list_of_features) ) { for(j in 1:length(list_of_features) ) { Out[i,j] <- sum(list_of_features[[i]] %in% list_of_features[[j]])/ length(unique(c(list_of_features[[i]], list_of_features[[j]]))) } } colnames(Out) <- rownames(Out) <- c("M3Drop", "DANB", "Brennecke", "simpleSingleCell", "sctransform") Out ## M3Drop DANB Brennecke simpleSingleCell ## M3Drop 1.0000000 0.38019061 0.4152905 0.14615908 ## DANB 0.3801906 1.00000000 0.2283346 0.09868187 ## Brennecke 0.4152905 0.22833459 1.0000000 0.15019157 ## simpleSingleCell 0.1461591 0.09868187 0.1501916 1.00000000 ## sctransform 0.2343257 0.21801471 0.2718985 0.26034913 ## sctransform ## M3Drop 0.2343257 ## DANB 0.2180147 ## Brennecke 0.2718985 ## simpleSingleCell 0.2603491 ## sctransform 1.0000000 7.8.4 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 Polychrome_1.2.3 ## [5] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [7] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] RColorBrewer_1.1-2 M3Drop_1.10.0 ## [17] numDeriv_2016.8-1.1 matrixStats_0.55.0 ## [19] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] Rtsne_0.15 ggbeeswarm_0.6.0 ## [3] colorspace_1.4-1 dynamicTreeCut_1.63-1 ## [5] htmlTable_1.13.2 XVector_0.24.0 ## [7] base64enc_0.1-3 BiocNeighbors_1.2.0 ## [9] rstudioapi_0.10 listenv_0.7.0 ## [11] codetools_0.2-16 splines_3.6.0 ## [13] knitr_1.25 Formula_1.2-3 ## [15] cluster_2.1.0 sctransform_0.2.0 ## [17] compiler_3.6.0 dqrng_0.2.1 ## [19] backports_1.1.4 assertthat_0.2.1 ## [21] Matrix_1.2-17 lazyeval_0.2.2 ## [23] limma_3.40.6 BiocSingular_1.0.0 ## [25] acepack_1.4.1 htmltools_0.3.6 ## [27] tools_3.6.0 rsvd_1.0.2 ## [29] igraph_1.2.4.1 gtable_0.3.0 ## [31] glue_1.3.1 GenomeInfoDbData_1.2.1 ## [33] reshape2_1.4.3 dplyr_0.8.3 ## [35] Rcpp_1.0.2 bbmle_1.0.20 ## [37] gdata_2.18.0 nlme_3.1-139 ## [39] DelayedMatrixStats_1.6.1 xfun_0.9 ## [41] stringr_1.4.0 globals_0.12.4 ## [43] irlba_2.3.3 gtools_3.8.1 ## [45] hypergeo_1.2-13 statmod_1.4.32 ## [47] future_1.14.0 edgeR_3.26.8 ## [49] zlibbioc_1.30.0 MASS_7.3-51.1 ## [51] scales_1.0.0 yaml_2.2.0 ## [53] gridExtra_2.3 rpart_4.1-15 ## [55] latticeExtra_0.6-28 stringi_1.4.3 ## [57] checkmate_1.9.4 orthopolynom_1.0-5 ## [59] contfrac_1.1-12 caTools_1.17.1.2 ## [61] rlang_0.4.0 pkgconfig_2.0.3 ## [63] moments_0.14 bitops_1.0-6 ## [65] evaluate_0.14 lattice_0.20-38 ## [67] purrr_0.3.2 htmlwidgets_1.3 ## [69] labeling_0.3 cowplot_1.0.0 ## [71] tidyselect_0.2.5 deSolve_1.24 ## [73] plyr_1.8.4 magrittr_1.5 ## [75] bookdown_0.13 R6_2.4.0 ## [77] gplots_3.0.1.1 Hmisc_4.2-0 ## [79] pillar_1.4.2 foreign_0.8-70 ## [81] withr_2.1.2 mgcv_1.8-28 ## [83] survival_2.43-3 scatterplot3d_0.3-41 ## [85] RCurl_1.95-4.12 nnet_7.3-12 ## [87] future.apply_1.3.0 tibble_2.1.3 ## [89] crayon_1.3.4 KernSmooth_2.23-15 ## [91] rmarkdown_1.15 viridis_0.5.1 ## [93] locfit_1.5-9.1 grid_3.6.0 ## [95] data.table_1.12.2 reldist_1.6-6 ## [97] digest_0.6.21 elliptic_1.4-0 ## [99] munsell_0.5.0 beeswarm_0.2.3 ## [101] viridisLite_0.3.0 vipor_0.4.5 References "],
-["handling-sparsity.html", "8 Handling sparsity 8.1 Challenge: Handling sparsity in single-cell RNA sequencing 8.2 Status 8.3 Open problems", " 8 Handling sparsity The material below is reproduced from (Laehnemann et al. 2019): Laehnemann,D. et al. (2019) 12 Grand challenges in single-cell data science PeerJ Preprints. link 8.1 Challenge: Handling sparsity in single-cell RNA sequencing A comprehensive characterization of the transcriptional status of individual cells enables us to gain full insight into the interplay of transcripts within single cells. However, scRNA-seq measurements typically suffer from large fractions of observed zeros, where a given gene in a given cell has no unique molecule identifiers or reads mapping to it. These observed zero values can represent either missing data (i.e.~a gene is expressed but not detected by the sequencing technology) or true absence of expression. The proportion of zeros, or degree of sparsity, is thought to be due to imperfect reverse transcription and amplification, and other technical limitations (), and depends on the scRNA-seq platform used, the sequencing depth and the underlying expression level of the gene. The term ``dropout’’ is often used to denote observed zero values in scRNA-seq data, but this term conflates zero values attributable to methodological noise and biologically-true zero expression, so we recommend against its use as a catch-all term for observed zeros. Sparsity in scRNA-seq data can hinder downstream analyses, but it is challenging to model or handle it appropriately, and thus, there remains an ongoing need for improved methods. Sparsity pervades all aspects of scRNA-seq data analysis, but here we focus on the linked problems of learning latent spaces and imputing'' expression values from scRNA-seq data (\\autoref{fig:denoising-imputation}). Imputation,data smoothing’’ and ``data reconstruction’’ approaches are closely linked to the challenges of normalization. But whereas normalization generally aims to make expression values between cells more comparable to each other, imputation and data smoothing approaches aim to achieve adjusted data values that—it is hoped—better represent the true expression values. Imputation methods could therefore be used for normalization, but do not entail all possible or useful approaches to normalization. 8.2 Status The imputation of missing values has been very successful for genotype data. Crucially, when imputing genotypes we often know which data are missing (e.g.~when no genotype call is possible due to no coverage of a locus, although see section for the challenges with data) and rich sources of external information are available (e.g.~haplotype reference panels). Thus, genotype imputation is now highly accurate and a commonly-used step in data processing for genetic association studies . The situation is somewhat different for scRNA-seq data, as we do not routinely have external reference information to apply (see ). In addition, we can never be sure which observed zeros represent missing data'' and which accurately represent a true gene expression level in the cell \\citep{hicks_missing_2018}. Observed zeros can either representbiological’’ zeros, i.e.~those present because the true expression level of a gene in a cell was zero. Or they they are the result of methodological noise, which can arise when a gene has true non-zero expression in a cell, but no counts are observed due to failures at any point in the complicated process of processing mRNA transcripts in cells into mapped reads. Such noise can lead to artefactual zero that are either more systematic (e.g.~sequence-specific mRNA degradation during cell lysis) or that occur by chance (e.g.~barely expressed transcripts that at the same expression level will sometimes be detected and sometimes not, due to sampling variation, e.g~in the sequencing). The high degree of sparsity in scRNA-seq data therefore arises from technical zeros and true biological zeros, which are difficult to distinguish from one another. In general, two broad approaches can be applied to tackle this problem of sparsity: use statistical models that inherently model the sparsity, sampling variation and noise modes of scRNA-seq data with an appropriate data generative model; or attempt to ``impute’’ values for observed zeros (ideally the technical zeros; sometimes also non-zero values) that better approximate the true gene expression levels. We prefer to use the first option where possible, and for many single-cell data analysis problems, statistical models appropriate for sparse count data exist and should be used (e.g.~for differential expression analysis). However, there are many cases where the appropriate models are not available and accurate imputation of technical zeros would allow better results from downstream methods and algorithms that cannot handle sparse count data. For example, imputation could be particularly useful for many dimension reduction, visualization and clustering applications. It is therefore desirable to improve both statistical methods that work on sparse count data directly and approaches for data imputation for scRNA-seq data, whether by refining existing techniques or developing new ones (see also ). We define three broad (and sometimes overlapping) categories of methods that can be used to ``impute’’ scRNA-seq data in the absence of an external reference: __Model-based imputation methods of technical zeros_ use probabilistic models to identify which observed zeros represent technical rather than biological zeros and aim to impute expression levels just for these technical zeros, leaving other observed expression levels untouched; or __Data-smoothing methods_ define sets of ``similar’’ cells (e.g.~cells that are neighbors in a graph or occupy a small region in a latent space) and adjust expression values for each cell based on expression values in similar cells. These methods adjust all expression values, including technical zeros, biological zeros and observed non-zero values. __Data-reconstruction methods_ typically aim to define a latent space representation of the cells. This is often done through matrix factorization (e.g.~principal component analysis) or, increasingly, through machine learning approaches (e.g.~variational autoencoders that exploit deep neural networks to capture non-linear relationships). Although a broad class of methods, both matrix factorization methods and autoencoders (among others) are able to reconstruct'' the observed data matrix from low-rank or simplified representations. The reconstructed data matrix will typically no longer be sparse (with many zeros) and the implicitlyimputed’’ data can be used for downstream applications that cannot handle sparse count data. The first category of methods generally seeks to infer a probabilistic model that captures the data generation mechanism. Such generative models can be used to identify, probabilistically, which observed zeros correspond to technical zeros (to be imputed) and which correspond to biological zeros (to be left alone). There are many model-based imputation methods already available that use ideas from clustering (e.g.~k-means), dimension reduction, regression and other techniques to impute technical zeros, oftentimes combining ideas from several of these approaches. These include SAVER , ScImpute , bayNorm , scRecover , and VIPER . Clustering methods that implicitly impute values, such as CIDR and BISCUIT , are closely related to this class of imputation methods. Data-smoothing methods, which adjust all gene expression levels based on expression levels in similar'' cells, have also been proposed to handle imputation problems. We might regard these approaches asdenoising’’ methods. To take a simplified example (), we might imagine that single cells originally refer to points in two-dimensional space, but are likely to describe a one-dimensional curve; projecting data points onto that curve eventually allows imputation of the ``missing’’ values (but all points are adjusted, or smoothed, not just true technical zeros). Prominent data-smoothing approaches to handling sparse counts include: diffusion-based MAGIC k-nearest neighbor-based knn-smooth network diffusion-based netSmooth clustering-based DrImpute locality sensitive imputation in LSImpute A major task in the analysis of high-dimensional single-cell data is to find low-dimensional representations of the data that capture the salient biological signals and render the data more interpretable and amenable to further analyses. As it happens, the matrix factorization and latent-space learning methods used for that task also provide another route for imputation through their ability to the observed data matrix from simplified representations of it. is one such standard matrix factorization method that can be applied to scRNA-seq data (preferably after suitable data normalization) as are other widely-used general statistical methods like and . As (linear) matrix factorization methods, , and decompose the observed data matrix into a ``small’’ number of factors in two low-rank matrices, one representing cell-by-factor weights and one gene-by-factor loadings. Many matrix factorization methods with tweaks for single-cell data have been proposed in recent years, including: ZIFA, a zero-inflated factor analysis f-scLVM, a sparse Bayesian latent variable model GPLVM, a Gaussian process latent variable model ZINB-WaVE, a zero-inflated negative binomial factor model scCoGAPS, an extension of consensus , a meta-analysis approach to pCMF, probabilistic count matrix factorization with a Poisson model SDA, sparse decomposition of arrays; another sparse Bayesian method . Some data reconstruction approaches have been specifically proposed for imputation, including: ENHANCE, denoising with an aggregation step ALRA, SVD with adaptive thresholding scRMD, robust matrix decomposition Recently, machine learning methods have emerged that apply autoencoders and deep neural networks ) or ensemble learning ) to impute expression values. Additionally, many deep learning methods have been proposed for single-cell data analysis that can, but need not, use probabilistic data generative processes to capture low-dimensional or latent space representations of a dataset. Even if imputation is not a main focus, such methods can generate ``imputed’’ expression values as an upshot of a model primarily focused on other tasks like learning latent spaces, clustering, batch correction, or visualization (and often several of these tasks simultaneously). The latter set includes tools such as: DCA, an autoencoder with a zero-inflated negative binomial distribution scVI, a variational autoencoder with a zero-inflated negative binomial model LATE VASC compscVAE scScope Tybalt SAUCIE scvis net-SNE BERMUDA, focused on batch correction DUSC Expression Saliency others Besides the three categories described above, a small number of scRNA-seq imputation methods have been developed to incorporate information external to the current dataset for imputation. These include: ADImpute , which uses gene regulatory network information from external sources; SAVER-X , a transfer learning method for denoising and imputation that can use information from atlas-type resources; and methods that borrow information from matched bulk RNA-seq data like URSM and SCRABBLE . 8.3 Open problems A major challenge in this context is the circularity that arises when imputation solely relies on information that is internal to the imputed dataset. This circularity can artificially amplify the signal contained in the data, leading to inflated correlations between genes and/or cells. In turn, this can introduce false positives in downstream analyses such as differential expression testing and gene network inference . Handling batch effects and potential confounders requires further work to ensure that imputation methods do not mistake unwanted variation from technical sources for biological signal. In a similar vein, single-cell experiments are affected by various uncertainties (see ). Approaches that allow quantification and propagation of the uncertainties associated with expression measurements (), may help to avoid problems associated with ‘overimputation’ and the introduction of spurious signals noted by . To avoid this circularity, it is important to identify reliable external sources of information that can inform the imputation process. One possibility is to exploit external reference panels (like in the context of genetic association studies). Such panels are not generally available for scRNA-seq data, but ongoing efforts to develop large scale cell atlases could provide a valuable resource for this purpose. Systematic integration of known biological network structures is desirable and may also help to avoid circularity. A possible approach is to encode network structure knowledge as prior information, as attempted in netSmooth and ADImpute. Another alternative solution is to explore complementary types of data that can inform scRNA-seq imputation. This idea was adopted in SCRABBLE and URSM, where an external reference is defined by bulk expression measurements from the same population of cells for which imputation is performed. Yet another possibility could be to incorporate orthogonal information provided by different types of molecular measurements (see ). Methods designed to integrate multi-omics data could then be extended to enable scRNA-seq imputation, e.g.~through generative models that explicitly link scRNA-seq with other data types or by inferring a shared low-dimensional latent structure that could be used within a data-reconstruction framework. With the proliferation of alternative methods, comprehensive benchmarking is urgently required as for all areas of single-cell data analysis . Early attempts by and provide valuable insights into the performance of methods available at the time. But many more methods have since been proposed and even more comprehensive benchmarking platforms are needed. Many methods, especially those using deep learning, depend strongly on choice of hyperparameters . There, more detailed comparisons that explore parameter spaces would be helpful, extending work like that from comparing dimensionality reduction methods. Learning from exemplary benchmarking studies , it would be immensely beneficial to develop a community-supported benchmarking platform with a wide-range of synthetic and experiment ground-truth datasets (or as close as possible, in the case of experimental data) and a variety of thoughtful metrics for evaluating performance. Ideally, such a benchmarking platform would remain dynamic beyond an initial publication to allow ongoing comparison of methods as new approaches are proposed. Detailed benchmarking would also help to establish when normalization methods derived from explicit count models may be preferable to imputation. Finally, scalability for large numbers of cells remains an ongoing concern for imputation, data smoothing and data reconstruction methods, as for all high-throughput single-cell methods and software (see ). library(scater) ## Loading required package: SingleCellExperiment ## Loading required package: SummarizedExperiment ## Loading required package: GenomicRanges ## Loading required package: stats4 ## Loading required package: BiocGenerics ## Loading required package: parallel ## ## Attaching package: 'BiocGenerics' ## The following objects are masked from 'package:parallel': ## ## clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, ## clusterExport, clusterMap, parApply, parCapply, parLapply, ## parLapplyLB, parRapply, parSapply, parSapplyLB ## The following objects are masked from 'package:stats': ## ## IQR, mad, sd, var, xtabs ## The following objects are masked from 'package:base': ## ## anyDuplicated, append, as.data.frame, basename, cbind, ## colnames, dirname, do.call, duplicated, eval, evalq, Filter, ## Find, get, grep, grepl, intersect, is.unsorted, lapply, Map, ## mapply, match, mget, order, paste, pmax, pmax.int, pmin, ## pmin.int, Position, rank, rbind, Reduce, rownames, sapply, ## setdiff, sort, table, tapply, union, unique, unsplit, which, ## which.max, which.min ## Loading required package: S4Vectors ## ## Attaching package: 'S4Vectors' ## The following object is masked from 'package:base': ## ## expand.grid ## Loading required package: IRanges ## Loading required package: GenomeInfoDb ## Loading required package: Biobase ## Welcome to Bioconductor ## ## Vignettes contain introductory material; view with ## 'browseVignettes()'. To cite Bioconductor, see ## 'citation("Biobase")', and for packages 'citation("pkgname")'. ## Loading required package: DelayedArray ## Loading required package: matrixStats ## ## Attaching package: 'matrixStats' ## The following objects are masked from 'package:Biobase': ## ## anyMissing, rowMedians ## Loading required package: BiocParallel ## ## Attaching package: 'DelayedArray' ## The following objects are masked from 'package:matrixStats': ## ## colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges ## The following objects are masked from 'package:base': ## ## aperm, apply, rowsum ## Loading required package: ggplot2 ## ## Attaching package: 'scater' ## The following object is masked from 'package:S4Vectors': ## ## rename ## The following object is masked from 'package:stats': ## ## filter library(SingleCellExperiment) library(glmpca) library(ggplot2) library(Polychrome) library(slalom) References "],
-["latent-spaces.html", "9 Latent spaces 9.1 Dimensionality reduction 9.2 Matrix factorization and factor analysis 9.3 Autoencoders", " 9 Latent spaces In many cases we may like to think of cells sitting in a low-dimensional, “latent†space that captures relationships between cells more intuitively than the very high-dimensional gene expression space. 9.1 Dimensionality reduction Why? - Reduce Curse of Dimensionality problems - Increase storage and computational efficiency - Visualize Data in 2D or 3D Difficulty: Need to decide how many dimension to keep. 9.1.1 PCA: Principal component analysis 9.1.1.1 (traditional) PCA PCA is a linear feature extraction technique. It performs a linear mapping of the data to a lower-dimensional space in such a way that the variance of the data in the low-dimensional representation is maximized. It does so by calculating the eigenvectors from the covariance matrix. The eigenvectors that correspond to the largest eigenvalues (the principal components) are used to reconstruct a significant fraction of the variance of the original data. In simpler terms, PCA combines your input features in a specific way that you can drop the least important feature while still retaining the most valuable parts of all of the features. As an added benefit, each of the new features or components created after PCA are all independent of one another. 9.1.1.1.1 Basic ideas of PCA Idea1: Dropping dimensions = Projection onto lower dimensional space   Which dimension should we keep? Idea2: more variantion = more information   But what if the plot is not readily to be projected onto either X or Y-axis? 9.1.1.1.2 Steps of PCA Step1: Rotation We want a set of axises (called Principle Components) that satisfies: -The 1st axis points to the direction where variantion is maximized, and so on -They are orthogonal to each other It can be shown that the eigen vectors of the covariance matrix satisfy these conditions, and the eigen vector according to the largest eigen value accounts for the most variation. Step2: Projection (3-dimesion \\(\\rightarrow\\) 2-dimension) 9.1.1.1.3 An example of PCA deng <- readRDS("data/deng/deng-reads.rds") my_color1 <- createPalette(6, c("#010101", "#ff0000"), M=1000) names(my_color1) <- unique(as.character(deng$cell_type1)) my_color2 <- createPalette(10, c("#010101", "#ff0000"), M=1000) names(my_color2) <- unique(as.character(deng$cell_type2)) deng <- runPCA(deng, ncomponents = 2) plotPCA(deng, colour_by = "cell_type1") + scale_fill_manual(values = my_color1) ## Scale for 'fill' is already present. Adding another scale for 'fill', ## which will replace the existing scale. plotPCA(deng, colour_by = "cell_type2") + scale_fill_manual(values = my_color2) ## Scale for 'fill' is already present. Adding another scale for 'fill', ## which will replace the existing scale. 9.1.1.1.4 Advantages and limits of PCA: Advantages: fast, easy to use and intuitive. Limits: Can lead to local inconsistency, i.e. far away points can become nearest neighbours. It is a linear projection, like casting a shadow, meaning it can’t capture non-linear dependencies. For instance, PCA would not be able to “unroll†the following structure. 9.1.1.2 GLM-PCA (Collins, Dasgupta, and Schapire 2002) (Townes et al. 2019) GLM-PCA is a generalized version of the traditional PCA. The traditional PCA implicitly imposes an assumption of Gaussian distribution. The purpose of GLM-PCA is to loosen this condition to accommodate other distributions of the exponential family. Why does PCA assume a Gaussian distribution? Let \\(x_1, \\dots, x_n \\in \\mathcal{R}^d\\) be the \\(d\\)-dimensional data observed. PCA is looking for their projections onto a subspace: \\(u_1, \\dots, u_n\\), such that \\(\\sum_{i = 1}^n \\Vert x_i - u_i\\Vert^2\\) is minimized. This objective function can be interpretated in two ways: Interpretation 1: the variance of the projections/principal components: \\(\\sum_{i} \\Vert u_i \\Vert ^2\\), if the data is centered at the origin (\\(\\sum_{i} x_i = 0\\)); Interpretation 2: Each point \\(x_i\\) is thought of as a random draw from a probability distribution centered at \\(u_i\\). If we take this probability as a unit Gaussian, that is \\(x_i \\sim N(u_i, 1)\\), then the likelihood is \\(\\prod_{i = 1}^n \\exp (- \\Vert x_i - u_i\\Vert^2)\\), and the negative log likelihood is exactly the objective function. This assumption is often inappropriate for non-Gaussian distributed data, for example discrete data. Therefore, GLM-PCA generalizes the Gaussian likelihood into a likelihood of any exponential-family distribution, and applies appropriate link functions to \\(u_i\\)’s in the same as a GLM does to non-Gaussian responses. The following example compares GLM-PCA with Poisson marginals to the traditional PCA, which is identical to the result from plotPCA. ## GLM-PCA Y <- assay(deng, "counts") Y <- Y[rowSums(Y) > 0, ] system.time(res1 <- glmpca(Y, L=2, fam="poi", verbose=TRUE)) ## user system elapsed ## 94.261 25.207 119.499 pd1 <- data.frame(res1$factors, dimreduce="glmpca-poisson", clust = factor(deng$cell_type2)) ## traditional PCA pd2 <- data.frame(reducedDim(deng, "PCA"), dimreduce="runPCA", clust = factor(deng$cell_type2)) colnames(pd2) <- colnames(pd1) ## plot pd <- rbind(pd1, pd2) ggplot(pd, aes(x = dim1, y = dim2, colour = clust)) + geom_point(size=2) + facet_wrap(~dimreduce, scales="free", nrow=3) + scale_color_manual(values = my_color2) + theme_bw() Let us compare GLM-PCA and standard PCA (using normalized log-counts data) on the Tung data, before cells have been QC’d. Repeat these plots with the QC’d Tung data. 9.1.2 tSNE: t-Distributed Stochastic Neighbor Embedding t-SNE (Maaten and Hinton 2008) is an advanced version of the original SNE algorithm. (Hinton and Roweis 2003) 9.1.2.1 Motivation The weakness of PCA is the motivation behind the SNE algorithm. PCA focuses on global covariance structrue, which lead to local inconsistency. SNE aims to preserve local strucutrue, or preserving the relationships among data points (ie. similar points remain similar; distinct points remain distinct). Unlike PCA, SNE is not limited to linear projections, which makes it suited to all sorts of datasets, including the swiss-roll data we have seen above. t-SNE solves the crowding issue of the original SNE. 9.1.2.2 original SNE SNE minimizes the divergence between two distributions: a distribution that measures pairwise similarities of the input objects and a distribution that measures pairwise similarities of the corresponding low-dimensional points in the embedding. Goal: preserve neighbourhoods. Soft neighbourhood: For each data point \\(x_i\\), the \\(i\\rightarrow j\\) probability is the probability that point \\(x_i\\) chooses \\(x_j\\) as its neighbour: \\(p_{j|i} \\propto \\exp(-\\Vert x_i - x_j \\Vert^2/2\\delta^2)\\). (This can be thought of as the probability of \\(x_j\\) in \\(N(x_i, \\delta)\\)) \\(\\Vert x_i - x_j \\Vert^2\\) is the Euclidean distance: The closer \\(x_i\\) and \\(x_j\\) are, the larger \\(p_{j|i}\\) is. \\(\\delta^2\\) denotes the vairance, it sets the size of the neighbourhood.  Very low \\(\\Rightarrow\\) all the probability is in the nearest neighbour  Very high \\(\\Rightarrow\\) uniform weights We generally want \\(\\delta^2\\) to be small for points in densely populated areas and large for sparse areas, so that the number of neighbours of all data points are roughly the same. It is computed with a user specified parameter (perplexity) which indicates the effective number of neighbours for a data point. Similarity matrix Collect \\(p_{j|i}\\) for all data points into a matrix, then this matrix preserves the key information of the local neighbourhood structure. How SNE works: Given high-dimensional data \\(X = \\{x_1, \\dots, x_n \\in \\mathcal{R}^d \\}\\), obtain the similarity matrix \\(P\\); Let \\(Y =\\{y_1, \\dots, y_n \\in \\mathcal{R}^2\\}\\) be a 2-dimensional data, the coordinates for visualization. Obtain a smilarity matrix of \\(Y\\), denoted as \\(Q\\), in the same way as \\(X\\), except that \\(\\delta^2\\) is fixed at 1/2. Look for \\(Y\\) such that \\(Q\\) is as similar to \\(P\\) as possible. Measurement of how similar two distributions is: Kullback-Leibler divergence (The definition of this cost function and the optimization procedure are out of the scope of this course) 9.1.2.3 t-SNE The motivation of t-SNE is to solve one of the main issues of SNE, the crowding problem. Crowding problem: In high dimension we have more room, points can have a lot of different neighbours that are far apart from each other. But in low dimensions, we don’t have enough room to accommodate all neighbours. Forexample, in 2D a point can have a few neighbors at distance one all far from each other - what happens when we embed in 1D? Solution: Change the distribution of the low-dimensional data \\(Q\\) into a student-t distribution. Recall that SNE is trying to minimize the dissimilarity of \\(P\\) and \\(Q\\), and \\(P\\) has a Gaussian distribution. So for a pair of points (\\(x_i\\) and \\(x_j\\) in high-dimension, \\(y_i\\) and \\(y_j\\) in low-dimension) to reach the same probability, the distance between \\(y_i\\) and \\(y_j\\) would be much larger (i.e. much farther apart). 9.1.2.4 Example of t-SNE: muraro <- readRDS("data/pancreas/muraro.rds") tmp <- runTSNE(muraro, perplexity = 3) plotTSNE(tmp, colour_by = "cell_type1") tmp <- runTSNE(muraro, perplexity = 50) plotTSNE(tmp, colour_by = "cell_type1") 9.1.2.5 Limits of t-SNE: Not a convex problem, i.e. the cost function has multiple local minima. Non-deterministic. Require specification of very important parameters, e.g. perplexity. Coordinates after embedding have no meaning. Therefore can merely be used for visualization. (See here for more pitfalls of using t-SNE.) 9.1.3 Manifold methods 9.1.3.1 UMAP: Uniform Manifold Approximation and Projection (McInnes, Healy, and Melville 2018) 9.1.3.1.1 Advantages of UMAP over t-SNE: faster deterministic better at preserving clusters 9.1.3.1.2 High level description Construct a topological presentation of the high-dimensional data (in this case a weighted \\(k\\)-NN graph) Given a low-dimensional data, construct a graph in the similar way Minimize the dissimilarity between the twp graphs. (Look for the low-dimensional data whose graph is the closest to that of the high-dimensional data) 9.1.3.1.3 Some details How the weighted graph is built? Obtain dissimilarity from the input distance: For each data point \\(x_i\\), find its \\(k\\) nearest neighbours: \\(x_{i_1}, \\dots, x_{i_k}\\). Let \\(d(x_i, x_{i_j})\\) be the input or original distance between \\(x_i\\) and \\(x_{i_j}\\), and \\(\\rho_i = \\min[d(x_i, x_{i_j}); 1 \\leq j \\leq k]\\) be the distance between \\(x_i\\) and its nearest neighbour. Then the dissimilarity between \\(x_i\\) and \\(x_{i_j}\\) is measured simply by subtracting the original distance by \\(\\rho_i\\): \\(\\tilde{d}(x_i, x_{i_j}) = d(x_i, x_{i_j}) - \\rho_i\\). Tranform dissimilarity to similarity: \\(s(x_i, x_{i_j}) = \\exp[-\\tilde{d}(x_i, x_{i_j})] - c_i\\), where \\(c_i\\) is a scale factor to ensure \\(\\sum_{j = 1}^k s(x_i, x_{i_j})\\) is a constant for all \\(i\\). Similarity itself can serve as edge weights, but this similarity is not symmetrical, i.e. \\(s(x_i, x_{i_j}) \\neq s(x_{i_j}, x_i)\\). To be able to project this onto an undirected graph, we need to solve the disagreement between \\(s(x_i, x_{i_j})\\) and \\(s(x_{i_j}, x_i)\\). Obtain weights: \\(w(x_i, x_{i_j}) = s(x_i, x_{i_j}) + s(x_{i_j}, x_i) - s(x_i, x_{i_j}) * s(x_{i_j}, x_i)\\) (Interpretation: \\(P(A \\cup B ) = P(A) + P(B) - P(A)P(B)\\) if \\(A\\) and \\(B\\) are independent) How the dissimilarity between graphs are measured? Cross entropy 9.1.3.1.4 Example of UMAP muraro <- runUMAP(muraro) plotUMAP(muraro, colour_by="cell_type1") 9.1.3.2 PHATE (Moon et al. 2017) 9.1.3.2.1 Sketch of algorithm The simpliest description of PHATE: Step1. Create a dissimilarity matrix of the original data Step2. Feed the dissimilarity matrix to nonmetric MDS (MDS: Multi-Dimension Scaling is a classical dimensionality reduction approach, that takes an input of distance matrix, and aims at preserving pairwise distances in the low dimensional space. When the input distance matrix is Euclidean distance, MDS produces the same result as PCA. Nonmetric MDS generalize the input as a dissimilarity matrix, rather than just distance.) Details of step1 in PHATE Step1-1. Markov transition matrix - What is similar with SNE: Recall that in the original SNE algorithm, there is a similarity matrix with entry \\(p_{i|j}\\) that is interpreted as the probability that point \\(x_i\\) chooses \\(x_j\\) as its neighbour: \\(p_{j|i} \\propto \\exp(-\\Vert x_i - x_j \\Vert^2/2\\delta^2)\\). PHATE is doing the same, except that we can interpret it differently: i. We can think \\(p_{j|i}\\) as a Gaussian kernel, where \\(\\epsilon \\triangleq 2\\delta^2\\) is the bandwidth: \\(p_{j|i} \\triangleq K_\\epsilon(x_i, x_j )\\). Similar to SNE, PHATE also define \\(\\epsilon\\) as the \\(k\\)-NN distance of each data point, so that it is smaller in dense area and larger in sparse area. The \\(k\\) is a user-specified tuning parameter, similar to perplexity in SNE. ii. We can think of the similarity matrix as a transition matrix, where \\(p_{j|i}\\) represents the probability of jumping from state \\(i\\) to state \\(j\\) in a single step. - What is different: i. PHATE generalize \\(K_\\epsilon(x_i, x_j)\\) to \\(\\exp \\left(- \\Vert x_i - x_j \\Vert^\\alpha /\\epsilon(x_i)^\\alpha\\right)\\), where the original Gaussian kernel is the special case when \\(\\alpha = 2\\). The motivation is that if the data is very sparse in some regions, then the bandwith \\(\\epsilon\\) with be very large and the kernel will become flat and lose the local information. By letting \\(\\alpha > 2\\), we prevent this to happen, although \\(\\alpha\\) needs to be provided by the user.  ii. Note that the kernels are not symmetrical now, that is \\(K_\\epsilon(x_i, x_j) \\neq K_\\epsilon(x_j, x_i)\\). So we make it symmetrical by taking an average of the two.  Step1-2. Smoothing - \\(P\\) is the transition matrix where \\(p_{i, j}\\) represents the probability of jumping from state \\(i\\) to state \\(j\\) in a single step. - Denote \\(\\delta_x\\) as a row vector of length \\(n\\) (the number of data points), where only the entry corresponding to \\(x\\) is 1 and zero everywhere else. Then \\(p_x = \\delta_x P\\) is the probability distribution of the data points starting from \\(x\\) after one step, and \\(p_x^t = \\delta_x P^t\\) is the probability distribution of the data points after \\(t\\) steps. In general, the more steps we take, the more data points will have positive probabilities. One way to think about this, is the larger \\(t\\) is, the more global information and the less local information is encoded. In the extreme case, if we take infinity steps, \\(p_x^\\infty\\) will be the same for all \\(x\\)’s, i.e. the probability distribution is going to be the same regardless of where we start, in this case, the local information is completely lost. An appropriately chosen \\(t\\) is crucial for the balance between local and global information in the embedding. (See the original paper for details of choosing \\(t\\)) Step1-3. Distance measurement Instead of measuring directly the Eudlicean distance between data points, say \\(x_i\\) and \\(x_j\\), PHATE measures the distance between probability distributions \\(p_{x_i}^t\\) and \\(p_{x_j}^t\\): \\(D^t(x_i, x_j) = \\Vert \\log(p_{x_i}^t) - \\log(p_{x_j}^t) \\Vert^2\\) 9.1.3.2.2 Example of PHATE library(phateR) deng_phate <- phate(t(assay(deng, "logcounts"))) dt <- data.frame(deng_phate$embedding, clust = deng$cell_type1) palette(rainbow(10)) ggplot(dt, aes(x=PHATE1, y=PHATE2, color=clust)) + geom_point() 9.2 Matrix factorization and factor analysis The key concept of factor analysis: The original, observed variables are correlated because they are all associated with some unobservable variables, the latent factors. It looks similar to PCA, but instead of dimensionality reduction, factor analysis focuses on studying the latent factors. The variance of an observed variable can be splitted into two parts: - Common variance: the part of variance that is explained by latent factors; - Unique variance: the part that is specific to only one variable, usually considered as an error component or residual. The factor loadings or weights indicate how much each latent factor is affecting the observed features. 9.2.1 Slalom: Interpretable latent spaces Highlight of Slalom: (Buettner et al. 2017) It incorporates prior information to help the model estimation; It learns whatever not provided by prior knowledge in the model training process; It enforces sparsity in the weight matrix. 9.2.1.1 Methodology Matrix expression of factor analysis: How prior knowledge affects the model: \\(I_{g, k}\\): (observed) Indicator of whether a gene \\(g\\) is annotated to a given pathway or factor \\(k\\); \\(z_{g, k}\\): (latent) Indicator of whether factor \\(k\\) has a regulatory effect on gene \\(g\\); \\(w_{g, k}\\): (estimated) weights. grey arrow: \\[ P(I_{g, k}\\vert z_{g, k}) = \\begin{cases} \\text{Bernoulli}(p_1), \\text{if } z_{g, k} = 1\\\\ \\text{Bernoulli}(p_2), \\text{if } z_{g, k} = 0\\\\ \\end{cases}\\] green arrow: \\[ P(w_{g, k}\\vert z_{g, k}) = \\begin{cases} N(w_{g, k}, 1/\\alpha), \\text{ if } z_{g, k} = 1\\\\ \\delta_0(w_{g, k}), \\text{ if } z_{g, k} = 0\\\\ \\end{cases}\\] We only look at the part of the likelihood that is relavant to this part: \\(\\prod_{g} \\prod_{k}P(I_{g, k}, w_{g, k}, z_{g, k})\\), where \\(P(I_{g, k}, w_{g, k}, z_{g, k}) = P(I_{g, k}, w_{g, k}| z_{g, k})P(z_{g,k}) = P( I_{g, k}| z_{g, k})P( w_{g, k}| z_{g, k})P(z_{g,k})\\). Since we do not know anything about \\(z_{g,k}\\), it is assumed as Bernoulli(1/2). 9.2.1.2 Example First, get a geneset in a GeneSetCollection object. gmtfile <- system.file("extdata", "reactome_subset.gmt", package = "slalom") genesets <- GSEABase::getGmt(gmtfile) Then we create an Rcpp_SlalomModel object containing the input data and genesets (and subsequent results) for the model. model_deng <- newSlalomModel(deng, genesets, n_hidden = 5, min_genes = 10) ## 29 annotated factors retained; 1 annotated factors dropped. ## 1072 genes retained for analysis. Initialize the model: model_deng <- initSlalom(model_deng, seed = 100) Fit/train the model: model_deng <- trainSlalom(model_deng, nIterations = 1000, seed = 100, tolerance = 0.001) ## pre-training model for faster convergence ## iteration 0 ## Model not converged after 50 iterations. ## iteration 0 ## Model not converged after 50 iterations. ## iteration 0 ## Switched off factor 29 ## Switched off factor 20 ## Switched off factor 32 ## Switched off factor 28 ## Switched off factor 13 ## Switched off factor 27 ## Switched off factor 10 ## iteration 100 ## Switched off factor 22 ## iteration 200 ## iteration 300 ## iteration 400 ## iteration 500 ## iteration 600 ## iteration 700 ## Model converged after 701 iterations. View results: The plotRelevance function displays the most relevant terms (factors/pathways) ranked by relevance, showing gene set size and the number of genes gained/lost as active in the pathway as learnt by the model. plotRelevance(model_deng) The plotTerms function shows the relevance of all terms in the model, enabling the identification of the most important pathways in the context of all that were included in the model. plotTerms(model_deng) 9.3 Autoencoders (Kingma and Welling 2013) 9.3.1 Background and some notations Data: \\(X\\) Latent variables: \\(Z\\) Something that is not directly observable but is assumed to have an impact on the observed variables. Goal: We believe \\(X\\) can be generated from \\(Z\\) (with some trasformation), and want to sample more data from \\(Z\\) that resembles \\(X\\). So we want the to find the parameters \\(\\theta\\) such that the probability to generate \\(X\\) from the distribution of \\(Z\\): \\(P(X) = \\int P(X|z; \\theta) P(z) dz\\) is maximized. How do we define \\(Z\\)? -The simpliest idea: \\(Z \\sim N(0, 1)\\). It is not impossible, because “any distribution in d dimensions can be generated by taking a set of d variables that are normally distributed and mapping them through a sufficiently complicated function.†-A better idea: For most of \\(z\\), \\(P(X|z; \\theta)\\) will be close to zero, meaning it contribute almost nothing to the estimate of \\(P(X)\\). Thus, we want to sample only those values of \\(Z\\) that are likely to produce \\(X\\). Denote this distribution of \\(Z\\) as \\(Q(Z|X)\\) (it is infered and therefore depend on \\(X\\)). Advantage: There will be a lot less possible values of \\(Z\\) under \\(Q\\) compared to random sampling, therefore, it will be easier to compute \\(E_{Z \\sim Q} P(X|Z)\\). 9.3.2 Objective \\[ \\log P(X) - KL[Q(Z|X)\\Vert P(Z|X)] = E_{Z\\sim Q}[\\log P(X|Z)] - KL[Q(Z|X)\\Vert P(Z)]\\] We can get this equation by starting from the definition of Kullback-Leibler divergence, combined with the Bayesian formula and a little algebra. (Not showing details here) LHS: what we want to maximize: Generation loss: how likely the generated samples resembles \\(X\\) - an error term which measures how much information is lost when using \\(Q\\) to represent \\(P\\), it becomes small if \\(Q\\) is high-capacity. (A loose explanation of model capacity: Roughly speaking, the capacity of a model describes how complex a relationship it can model. You could expect a model with higher capacity to be able to model more relationships between more variables than a model with a lower capacity.) RHS: what we can maximize through stochastic gradient descent. References "],
-["clustering-and-cell-annotation.html", "10 Clustering and cell annotation 10.1 Clustering Methods 10.2 Clustering example 10.3 An alternative to clustering: Automatic cell annotation", " 10 Clustering and cell annotation 10.1 Clustering Methods Once we have normalized the data and removed confounders we can carry out analyses that are relevant to the biological questions at hand. The exact nature of the analysis depends on the dataset. Nevertheless, there are a few aspects that are useful in a wide range of contexts and we will be discussing some of them in the next few chapters. We will start with the clustering of scRNA-seq data. 10.1.1 Introduction One of the most promising applications of scRNA-seq is de novo discovery and annotation of cell-types based on transcription profiles. Computationally, this is a hard problem as it amounts to unsupervised clustering. That is, we need to identify groups of cells based on the similarities of the transcriptomes without any prior knowledge of the labels. Moreover, in most situations we do not even know the number of clusters a priori. The problem is made even more challenging due to the high level of noise (both technical and biological) and the large number of dimensions (i.e. genes). When working with large datasets, it can often be beneficial to apply some sort of dimensionality reduction method. By projecting the data onto a lower-dimensional sub-space, one is often able to significantly reduce the amount of noise. An additional benefit is that it is typically much easier to visualize the data in a 2 or 3-dimensional subspace. We have already discussed PCA (chapter 6.6.2) and t-SNE (chapter 6.6.2). Challenges in clustering What is the number of clusters k? What defines a good clustering? What is a cell type? Scalability: in the last few years the number of cells in scRNA-seq experiments has grown by several orders of magnitude from ~\\(10^2\\) to ~\\(10^6\\) 10.1.2 unsupervised Clustering methods Three main ingredients of a complete clustering method: Measure of similarity: how do we quantify how close two data points are? Quality function: how do we decide how “good†is a clustering/partition? Algorithm: how to find the clustering whose quality function is optimized? 10.1.2.1 Hierarchical clustering Hierarchical clustering is basically the only type of clustering algorithm that does not seek to optimize a quality function, because it builds a hierarchy of clusters, instead of one single clustering result as the output. There are two types of strategies: - Agglomerative (bottom-up): each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy. - Divisive (top-down): all observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.  10.1.2.2 k-means clustering Measure of similarity: Euclidean distance Quality function: Within cluster distance Algorithm: Advantage: Fast Drawbacks: - Sensitive to initial clustering - Sensitive to outliers - Need to specify K - Tend to find clusters of similar sizes Tools related to K-means: SC3 10.1.2.3 Graph-based methods Real world networks usualy display big inhomogeneities or community structure. Communities or clusters or modules are groups of vertices which probably share common properties and/or play similar roles whithin the graph. In recent years there has been a lot of interest in detecting communities in networks in various domains. Some of these community detection methods can be applied to scRNA-seq data by building a graph where each vertice represents a cell and (weight of) the edge measures similarity between two cells. Actually, graph-based clustering is the most popular clustering algorithm in scRNA-seq data analysis, and has been reported to have outperformed other clustering methods in many situations (Freytag et al. 2018). 10.1.2.3.1 Why do we want to represent the data as a graph? Memory effectiveness: A (complete) graph can be thought as an alternative expression of similarity matrix. Current methods (discuss later) aim to build sparse graphs, which ease the memory burden. Curse of dimensionality: All data become sparse in high-dimensional space and therefore similarities measured by Euclidean distances etc are generally low between all objects. 10.1.2.3.2 Building a graph Step1: Build an unweighted K-nearest neighbour (KNN) graph Step2: Add weights, and obtain a shared nearest neighbour (SNN) graph There are two ways of adding weights: number and rank. - number: The number of shared nodes between \\(u\\) and \\(v\\), in this case, 3. - rank: A measurement of the closeness to their common nearest neighbours. (Xu and Su (2015)) Details of rank : Main idea: The closeness of two people is defined by their closest common friend. For each node, say \\(u\\), we can rank its 5 neighbours according to their closeness to \\(u\\), and we can do the same with \\(v\\). Denote the three shared neighbours as \\(x_1\\), \\(x_2\\) and \\(x_3\\), so rank(\\(x_1, u\\)) = 1 means \\(x_1\\) is the closest neighbour of \\(u\\). The idea is, if \\(x_1\\) is also the closest to \\(v\\), then \\(u\\) and \\(v\\) should have a larger similarity, or weight. So we summarize the overall closeness of \\(x_1\\) with both \\(u\\) and \\(v\\) by taking an average: \\(\\dfrac{1}{2}(\\text{rank}(x_1, u), \\text{rank}(x_1, v))\\). Then we find the one with the largest closeness, \\(s(u, v) = \\min \\left[ \\dfrac{1}{2}(\\text{rank}(x_i, u), \\text{rank}(x_i, v)) \\vert i = 1, 2, 3\\right]\\). The final expression of weight: \\[ w(u, v) = K - s(u, v).\\] 10.1.2.3.3 Quality function (Modularity) Modularity (Newman and Girvan 2004) is not the only quality function for graph-based clustering, but it is one of the first attempts to embed in a compact form many questions including the definition of quality function and null model etc. The idea of modularity: A random graph should not have a cluster structure. The more “quality†a partition has compared to a random graph, the “better†the partition is. Specifically, it is defined by: the quality of a partition on the actual graph \\(-\\) the quality of the same partition on a random graph quality : Sum of the weights within clusters random graph : a copy of the original graph, with some of its properties, but without community structure. The random graph defined by modularity is: each node has the same degree as the original graph. \\[ Q \\propto \\sum_{i, j} A_{i, j} \\delta(i, j) - \\sum_{i, j} \\dfrac{k_i k_j}{2m} \\delta(i, j)\\] \\(A_{i, j}\\): weight between node \\(i\\) and \\(j\\); \\(\\delta(i, j)\\): indicator of whether \\(i\\) and \\(j\\) are in the same cluster; \\(k_i\\): the degree of node \\(i\\) (the sum of weights of all edges connected to \\(i\\)); \\(m\\): the total weight in the all graph. Higher modularity implies better partition: Limits of modularity: (Good, De Montjoye, and Clauset 2010) 1. Resolution limit. Short version: Modularity maximization forces small communities into larger ones. Longer version: For two clusters \\(A\\) and \\(B\\), if \\(k_A k_B < 2m\\) then modularity increases by merging A and B into a single cluster, even if A and B are distinct clusters. 2. Bad, even random partitions may have a high modularity. Networks lack a clear modularity maxima. 10.1.2.3.4 Algorithms : Modularity-based clustering methods implemented in single cell analysis are mostly greedy algorithms, that are very fast, although not the most accurate approaches.   Louvain: (Blondel et al. 2008)   Leiden:(Traag, Waltman, and Eck 2019) Improved Louvain, hybrid of greedy algorithm and sampling technique 10.1.2.3.5 Advantages: -Fast -No need to specify \\(k\\) 10.1.2.3.6 Tools for graph-based clustering: Seurat: Louvain, Leiden, SLM igraph: fast greedy, Louvain, optimal, walktrap, spinglass, infomap 10.1.2.4 Concensus clustering (more robustness, less computational speed) 10.1.2.4.1 Motivation (Two problems of \\(K\\)-means): Problem1: sensitive to initial partitions  Solution:  Run multiple iterations of \\(K\\)-means on different subsamples of the original dataset, with different initail partitions. Problem2: the selection of \\(K\\).  Solution:  Run \\(K\\)-means with a range of \\(K\\)’s. 10.1.2.4.2 Algorithm of concensus clustering (simpliest version): for(k in the range of K){ for(each subsample of the data){ for(iteration in 1:1000){ kmeans(subsample, k) # each iteration means a different initial partition save partition } } return consensus clustering result of k } 10.1.2.4.3 Subsample obtained by dimensional reduction: steps of PCA: i) tranformation of the similarity matrix. ii) ranking eigen vectors according to their accoring eigen values in decreasing order. iii) need to decide how many (\\(d\\)) PC’s or eigenvalues we wants to reduce to. In SC3, i) considers two types of transformation: the one with traditional PCA and the associated graph Laplacian. iii) User may specify a range of \\(d\\), or use the default range suggested by the authors according to their experience with empirical results. 10.1.2.4.4 Consensus clustering (combining multiple clustering results): Step1: Represent each partition as a matrix: Say we partitioned four data points into 2 clusters. Step2: Concensus matrix: Average of all the partitions 10.1.2.4.5 Tools for consensus clustering: SC3 10.2 Clustering example library(pcaMethods) library(SC3) library(scater) library(SingleCellExperiment) library(pheatmap) library(mclust) library(igraph) library(scran) 10.2.1 Example 1. Graph-based clustering (deng dataset) To illustrate clustering of scRNA-seq data, we consider the Deng dataset of cells from developing mouse embryo (Deng et al. 2014). We have preprocessed the dataset and created a SingleCellExperiment object in advance. We have also annotated the cells with the cell types identified in the original publication (it is the cell_type2 column in the colData slot). deng <- readRDS("data/deng/deng-reads.rds") First, we build a \\(K\\)-NN graph with a package function from scran. The most important decision of building a graph is the choice of \\(K\\), of which there is no standard rule. In general, we can think of it as an indication of the desired cluster size. If \\(K\\) is too small, a genuine cluster might be split into parts, while if \\(K\\) is too large, clusters might not thoroughly separated. deng5 <- buildSNNGraph(deng, k = 5) deng15 <- buildSNNGraph(deng, k = 15) deng25 <- buildSNNGraph(deng, k = 25) par(mfrow=c(1,3)) plot(deng5, vertex.size = 4, vertex.label = NA) title("5-NN" ,line = -33, cex.main = 3) plot(deng15, vertex.size = 4, vertex.label = NA) title("15-NN" ,line = -33, cex.main = 3) plot(deng25, vertex.size = 4, vertex.label = NA) title("25-NN" ,line = -33, cex.main = 3) Perform Louvain clustering: cl <- igraph::cluster_louvain(deng15)$membership colData(deng)$cl <- factor(cl) mclust::adjustedRandIndex(colData(deng)$cell_type2, colData(deng)$cl) ## [1] 0.4197754 Reaches very high similarity with the labels provided in the original paper. However, it tend to merge small clusters into larger ones. table(deng$cell_type2, cl) ## cl ## 1 2 3 ## 16cell 49 0 1 ## 4cell 0 14 0 ## 8cell 36 0 1 ## early2cell 0 8 0 ## earlyblast 0 0 43 ## late2cell 0 10 0 ## lateblast 0 0 30 ## mid2cell 0 12 0 ## midblast 0 0 60 ## zy 0 4 0 10.2.2 Example 2. Graph-based clustering (segerstolpe dataset) muraro <- readRDS("data/pancreas/muraro.rds") ## PCA var.fit <- suppressWarnings(trendVar(muraro, parametric=TRUE, use.spikes=F)) muraro <- suppressWarnings(denoisePCA(muraro, technical=var.fit$trend)) dim(reducedDim(muraro, "PCA")) ## [1] 2126 5 ## Build graph and clustering gr <- buildSNNGraph(muraro, use.dimred="PCA", k = 30) cl <- igraph::cluster_louvain(gr)$membership colData(muraro)$cl <- factor(cl) mclust::adjustedRandIndex(colData(muraro)$cell_type1, colData(muraro)$cl) ## [1] 0.4845618 table(muraro$cell_type1, cl) ## cl ## 1 2 3 4 5 6 7 8 9 ## acinar 0 0 0 0 0 0 218 0 1 ## alpha 202 306 274 5 15 9 1 0 0 ## beta 1 0 0 5 195 21 2 220 4 ## delta 0 0 0 0 18 174 0 1 0 ## ductal 0 0 0 215 0 1 7 3 19 ## endothelial 0 0 0 0 0 0 0 0 21 ## epsilon 0 0 0 0 0 3 0 0 0 ## gamma 1 0 1 0 0 97 2 0 0 ## mesenchymal 0 0 0 1 0 0 0 0 79 ## unclear 0 0 0 4 0 0 0 0 0 10.2.3 Example 3. SC3 Let’s run SC3 clustering on the Deng data. The advantage of the SC3 is that it can directly ingest a SingleCellExperiment object. SC3 can estimate a number of clusters: deng <- sc3_estimate_k(deng) ## Estimating k... metadata(deng)$sc3$k_estimation ## [1] 6 Next we run SC3 (we also ask it to calculate biological properties of the clusters): deng <- sc3(deng, ks = 10, biology = TRUE, n_cores = 1) ## Setting SC3 parameters... ## Calculating distances between the cells... ## Performing transformations and calculating eigenvectors... ## Performing k-means clustering... ## Calculating consensus matrix... ## Calculating biology... SC3 result consists of several different outputs (please look in (Kiselev et al. 2017) and SC3 vignette for more details). Here we show some of them: Consensus matrix: sc3_plot_consensus(deng, k = 10, show_pdata = "cell_type2") Silhouette plot: sc3_plot_silhouette(deng, k = 10) Heatmap of the expression matrix: sc3_plot_expression(deng, k = 10, show_pdata = "cell_type2") Identified marker genes: sc3_plot_markers(deng, k = 10, show_pdata = "cell_type2") PCA plot with highlighted SC3 clusters: plotPCA(deng, colour_by = "sc3_10_clusters") Compare the results of SC3 clustering with the original publication cell type labels: adjustedRandIndex(colData(deng)$cell_type2, colData(deng)$sc3_10_clusters) ## [1] 0.7796181 Note SC3 can also be run in an interactive Shiny session: sc3_interactive(deng) This command will open SC3 in a web browser. Note Due to direct calculation of distances SC3 becomes very slow when the number of cells is \\(>5000\\). For large datasets containing up to \\(10^5\\) cells we recomment using Seurat (see chapter 16). 10.3 An alternative to clustering: Automatic cell annotation 10.3.1 SingleR 10.3.1.1 Methodology Step1. Find variable gene 1-1. For every gene, obtain median grouped by label. 1-2. Select genes that makes at least one label different:. For example, if we are looking for the genes that makes label “green†different from label “redâ€, we substract the second column by the first, and pick the top \\(N\\) highest and positive values. All analysis onwards use only the selected variable genes. Step2. Spearman’s correlation Spearman’s correlation \\(\\in [-1, 1]\\) is a measure of the strength of a linear or monotonic relationship between paired data. We compute the Spearman’s correlation for all pairs of cells in the test and reference dataset, and obtain an \\(n_{\\text{test}} \\times n_{\\text{ref}}\\) correlation matrix, where \\(n\\) is the number of cells (see the first matrix in Step3). Step3. Scoring We want to know how each cell in the test data is correlated to the labels in the reference data, instead of each reference cell. So we take the correlations of a cell in the test data with all the cells with a certain label in the reference data, and summarize them into one number or a score, in SingleR, the default is to take the \\(80\\%\\) quantile. Step4. Fine tuning We stop here and assign each cell with label that score the highest, actually, if we set the argument fine.tune = FALSE, that is exactly what the package function SingleR does. But there is one more question, what if the second highest score is very close to the highest? say, 1, 1, 1, 9.5, 10. SingleR set a threshold to define how close is “very closeâ€, the default is 0.05. For (only) the cells that falls into this category, it goes back to Step2. 10.3.1.2 Example (Note: SingleR is not yet available in the released version of Bioconductor. It will be possible to run it as shown once the next Bioconductor release is made in late October.) library(scRNAseq) library(SingleR) segerstolpe <- readRDS("data/pancreas/segerstolpe.rds") sceM <- suppressMessages(MuraroPancreasData()) sceM <- sceM[,!is.na(sceM$label)] sceM <- logNormCounts(sceM) ## find common gene rownames(sceM) <- gsub("__.*","",rownames(sceM)) common <- intersect(rownames(sceM), rownames(segerstolpe)) sceM <- sceM[common,] segerstolpe <- segerstolpe[common,] ## Prepare reference out <- pairwiseTTests(logcounts(sceM), sceM$label, direction="up") markers <- getTopMarkers(out$statistics, out$pairs, n=10) ## Annotation pred <- SingleR(test=segerstolpe, ref=sceM, labels=sceM$label, genes=markers) ## View result plotScoreHeatmap(pred, show.labels = TRUE, annotation_col=data.frame( row.names=rownames(pred))) 10.3.2 scmap ## Load data segerstolpe <- readRDS("data/pancreas/segerstolpe.rds") # test library(scRNAseq) sceM <- readRDS("data/pancreas/muraro.rds") # reference rownames(sceM) <- gsub("__.*","",rownames(sceM)) Select the most informative features (genes) using the dropout feature selection method. By default select 500 features. library(scmap) rowData(sceM)$feature_symbol <- rownames(sceM) sceM <- selectFeatures(sceM, suppress_plot = TRUE) Index of a reference dataset is created by finding the median gene expression for each cluster. First, chop the total of 500 features into \\(M = 50\\) chuncks/ low-dimensional subspace. Second, cluster each chunk into \\(k = \\sqrt{N}\\) clusters, where \\(N\\) is the number of cells. By default scmap uses the cell_type1 column of the colData slot in the reference to identify clusters. sceM <- indexCell(sceM) The function indexCluster writes the scmap_cluster_index item of the meta data slot of the reference dataset sceM. This step has two outputs: names(metadata(sceM)$scmap_cell_index) ## [1] "subcentroids" "subclusters" subcentroids returns cluster centers: cat(length(metadata(sceM)$scmap_cell_index$subcentroids), " chunks \\n") ## 50 chunks cat("The dimension of cluster centers in each chunk: ", dim(metadata(sceM)$scmap_cell_index$subcentroids[[1]]), "\\n") ## The dimension of cluster centers in each chunk: 10 46 subclusters contains information about which cluster (label) the cells belong to dim(metadata(sceM)$scmap_cell_index$subclusters) ## [1] 50 2126 metadata(sceM)$scmap_cell_index$subclusters[1:5,1:5] ## D28.1_1 D28.1_13 D28.1_15 D28.1_17 D28.1_2 ## [1,] 6 11 7 38 36 ## [2,] 1 16 17 44 38 ## [3,] 28 17 4 45 25 ## [4,] 43 41 40 33 22 ## [5,] 36 27 29 11 35 Projection: Once the scmap-cell indexes have been generated we can use them to project the test dataset. scmapCell_results <- scmapCell( projection = segerstolpe, index_list = list( sceM = metadata(sceM)$scmap_cell_index ) ) names(scmapCell_results) ## [1] "sceM" The cells matrix contains the top 10 (scmap default) cell IDs of the cells of the reference dataset that a given cell of the projection dataset is closest to: dim(scmapCell_results$sceM$cells) ## [1] 10 3514 Cell annotation: If cell cluster annotation is available for the reference datasets, scmap-cell can also annotate the cells from the projection dataset using the labels of the reference. It does so by looking at the top 3 nearest neighbours (scmap default) and if they all belong to the same cluster in the reference and their maximum similarity is higher than a threshold (0.5 is the scmap default), then a projection cell is assigned to the corresponding reference cluster: scmapCell_clusters <- scmapCell2Cluster( scmapCell_results, list( colData(sceM)$cell_type1 )) Plot result Compare the annotated result with the original label in the segerstolpe dataset. plot( getSankey( segerstolpe$cell_type1, scmapCell_clusters$combined_labs, plot_height = 400 ) ) 10.3.3 sessionInfo() References "],
-["trajectory-inference.html", "11 Trajectory inference 11.1 First look at Deng data", " 11 Trajectory inference library(SingleCellExperiment) library(TSCAN) library(M3Drop) library(monocle) library(destiny) library(scater) library(ggplot2) library(ggthemes) library(ggbeeswarm) library(corrplot) library(Polychrome) library(slingshot) library(SLICER) library(ouija) set.seed(1) In many situations, one is studying a process where cells change continuously. This includes, for example, many differentiation processes taking place during development: following a stimulus, cells will change from one cell-type to another. Ideally, we would like to monitor the expression levels of an individual cell over time. Unfortunately, such monitoring is not possible with scRNA-seq since the cell is lysed (destroyed) when the RNA is extracted. Instead, we must sample at multiple time-points and obtain snapshots of the gene expression profiles. Since some of the cells will proceed faster along the differentiation than others, each snapshot may contain cells at varying points along the developmental progression. We use statistical methods to order the cells along one or more trajectories which represent the underlying developmental trajectories, this ordering is referred to as “pseudotimeâ€. In this chapter we will consider five different tools: TSCAN,Slingshot,Monocle and some off-the-shelf methods like PCA, for ordering cells according to their pseudotime development. To illustrate the methods we will be using a dataset on mouse embryonic development (Deng et al. 2014). The dataset consists of 268 cells from 10 different time-points of early mouse development. In this case, there is no need for pseudotime alignment since the cell labels provide information about the development trajectory. Thus, the labels allow us to establish a ground truth so that we can evaluate and compare the different methods. A recent benchmarking paper by Saelens et al (Saelens et al. 2019) provides a detailed summary of the various computational methods for trajectory inference from single-cell transcriptomics (Saelens et al. 2019). They discuss 45 tools and evaluate them across various aspects including accuracy, scalability, and usability. The following figures from the paper summarise several key aspects and some of the features of the tools being evaluated: Figure 2.3: Overview of several key aspects of the evaluation (Fig. 1 from Saelens et al, 2019). The Characterizatics of the 45 TI tools: Figure 2.4: Characterization of trajectory inference methods for single-cell transcriptomics data (Fig. 2 from Saelens et al, 2019). The detailed evaluation results of the 45 TI tools: Figure 2.5: Detailed results of the four main evaluation criteria: accuracy, scalability, stability and usability of trajectory inference methods for single-cell transcriptomics data (Fig. 3 from Saelens et al, 2019). 11.1 First look at Deng data Let us take a first look at the Deng(Deng et al. 2014) data, without yet applying sophisticated pseudotime methods. As the plot below shows, simple PCA does a very good job of displaying the structure in these data. It is only once we reach the blast cell types (“earlyblastâ€, “midblastâ€, “lateblastâ€) that PCA struggles to separate the distinct cell types. deng_SCE <- readRDS("data/deng/deng-reads.rds") deng_SCE$cell_type2 <- factor( deng_SCE$cell_type2, levels = c("zy", "early2cell", "mid2cell", "late2cell", "4cell", "8cell", "16cell", "earlyblast", "midblast", "lateblast") ) cellLabels <- deng_SCE$cell_type2 deng <- counts(deng_SCE) colnames(deng) <- cellLabels deng_SCE <- scater::runPCA(deng_SCE,ncomponent = 5) ## change color Palette with library(Polychrome) set.seed(723451) # for reproducibility my_color <- createPalette(10, c("#010101", "#ff0000"), M=1000) names(my_color) <- unique(as.character(deng_SCE$cell_type2)) pca_df <- data.frame(PC1 = reducedDim(deng_SCE,"PCA")[,1], PC2 = reducedDim(deng_SCE,"PCA")[,2], cell_type2 = deng_SCE$cell_type2) ggplot(data = pca_df)+geom_point(mapping = aes(x = PC1, y = PC2, colour = cell_type2))+ scale_colour_manual(values = my_color)+theme_classic() PCA, here, provides a useful baseline for assessing different pseudotime methods. For a very naive pseudotime we can just take the co-ordinates of the first principal component. #deng_SCE$PC1 <- reducedDim(deng_SCE, "PCA")[,1] ggplot(pca_df, aes(x = PC1, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_colour_manual(values = my_color) + theme_classic() + xlab("First principal component") + ylab("Timepoint") + ggtitle("Cells ordered by first principal component") As the plot above shows, PC1 struggles to correctly order cells early and late in the developmental timecourse, but overall does a relatively good job of ordering cells by developmental time. Can bespoke pseudotime methods do better than naive application of PCA? 11.1.1 TSCAN TSCAN (Ji and Ji 2019) combines clustering with pseudotime analysis. First it clusters the cells using mclust, which is based on a mixture of normal distributions. Then it builds a minimum spanning tree to connect the clusters. The branch of this tree that connects the largest number of clusters is the main branch which is used to determine pseudotime. Note From a connected graph with weighted edges, MST is the tree structure that connects all the nodes in a way that has the minimum total edge weight. The trajectory inference methods that use MST is based on the idea that nodes (cells/clusters of cells) and their connections represent the geometric shape of the data cloud in a two-dimenension space. First we will try to use all genes to order the cells. procdeng <- TSCAN::preprocess(counts(deng_SCE)) colnames(procdeng) <- 1:ncol(deng_SCE) dengclust <- TSCAN::exprmclust(procdeng, clusternum = 10) TSCAN::plotmclust(dengclust) dengorderTSCAN <- TSCAN::TSCANorder(dengclust, orderonly = FALSE) pseudotime_order_tscan <- as.character(dengorderTSCAN$sample_name) deng_SCE$pseudotime_order_tscan <- NA deng_SCE$pseudotime_order_tscan[as.numeric(dengorderTSCAN$sample_name)] <- dengorderTSCAN$Pseudotime Frustratingly, TSCAN only provides pseudotime values for 221 of 268 cells, silently returning missing values for non-assigned cells. Again, we examine which timepoints have been assigned to each state: cellLabels[dengclust$clusterid == 10] ## [1] late2cell late2cell late2cell late2cell late2cell late2cell late2cell ## [8] late2cell late2cell late2cell ## 10 Levels: zy early2cell mid2cell late2cell 4cell 8cell ... lateblast ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_order_tscan, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("TSCAN pseudotime") + ylab("Timepoint") + ggtitle("Cells ordered by TSCAN pseudotime") TSCAN gets the development trajectory the “wrong way aroundâ€, in the sense that later pseudotime values correspond to early timepoints and vice versa. This is not inherently a problem (it is easy enough to reverse the ordering to get the intuitive interpretation of pseudotime), but overall it would be a stretch to suggest that TSCAN performs better than PCA on this dataset. (As it is a PCA-based method, perhaps this is not entirely surprising.) Exercise 1 Compare results for different numbers of clusters (clusternum). 11.1.2 Slingshot Slingshot (Street et al. 2018) is a single-cell lineage inference tool, it can work with datasets with multiple branches. Slingshot has two stages: 1) the inference of the global lineage structure using MST on clustered data points and 2) the inference of pseudotime variables for cells along each lineage by fitting simultaneous ‘principal curves’ across multiple lineages. Slingshot’s first stage uses a cluster-based MST to stably identify the key elements of the global lineage structure, i.e., the number of lineages and where they branch. This allows us to identify novel lineages while also accommodating the use of domain-specific knowledge to supervise parts of the tree (e.g., terminal cellular states). For the second stage, we propose a novel method called simultaneous principal curves, to fit smooth branching curves to these lineages, thereby translating the knowledge of global lineage structure into stable estimates of the underlying cell-level pseudotime variable for each lineage. Slingshot had consistently performing well across different datasets as reported by Saelens et al, let’s have a run for the deng dataset. It is recommended by Slingshot to run in a reduced dimensions. __Note_ Principal curves are smooth one-dimensional curves that pass through the middle of a p-dimensional data set, providing a nonlinear summary of the data. They are nonparametric, and their shape is suggested by the data (Hastie et al)(Hastie and Stuetzle 1989). ## runing slingshot deng_SCE <- slingshot(deng_SCE, clusterLabels = 'cell_type2',reducedDim = "PCA", allow.breaks = FALSE) ## Using diagonal covariance matrix summary(deng_SCE$slingPseudotime_1) ## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's ## 0.00 52.19 59.81 60.34 81.60 85.72 55 ## get lineages inferred by slingshot lnes <- getLineages(reducedDim(deng_SCE,"PCA"), deng_SCE$cell_type2) ## Using diagonal covariance matrix lnes@lineages ## $Lineage1 ## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell" ## [6] "16cell" "midblast" "earlyblast" ## ## $Lineage2 ## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell" ## [6] "16cell" "midblast" "lateblast" ## ## $Lineage3 ## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell" ## [6] "16cell" "8cell" ## plot the lineage overlay on the orginal PCA plot plot(reducedDims(deng_SCE)$PCA, col = my_color[as.character(deng_SCE$cell_type2)], pch=16, asp = 1) legend("bottomleft",legend = names(my_color[levels(deng_SCE$cell_type2)]), fill = my_color[levels(deng_SCE$cell_type2)]) lines(SlingshotDataSet(deng_SCE), lwd=2, type = 'lineages', col = c("black")) ## Plotting the pseudotime inferred by slingshot by cell types slingshot_df <- data.frame(colData(deng_SCE)) ggplot(slingshot_df, aes(x = slingPseudotime_1, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + theme_classic() + xlab("First Slingshot pseudotime") + ylab("cell type") + ggtitle("Cells ordered by Slingshot pseudotime")+scale_colour_manual(values = my_color) ggplot(slingshot_df, aes(x = slingPseudotime_2, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + theme_classic() + xlab("Second Slingshot pseudotime") + ylab("cell type") + ggtitle("Cells ordered by Slingshot pseudotime")+scale_colour_manual(values = my_color) ggplot(slingshot_df, aes(x = slingPseudotime_1, y = slingPseudotime_2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + theme_classic() + xlab("First Slingshot pseudotime") + ylab("Second Slingshot pseudotime") + ggtitle("Cells ordered by Slingshot pseudotime")+scale_colour_manual(values = my_color) # # ggplot(slingshot_df, aes(x = slingPseudotime_1, y = slingPseudotime_2, # colour = slingPseudotime_3)) + # geom_point() + theme_classic() + # xlab("First Slingshot pseudotime") + ylab("Second Slingshot pseudotime") + # ggtitle("Cells ordered by Slingshot pseudotime")+facet_wrap(.~cell_type2) Note You can also supply a start and an end cluster to slingshot. Comments Did you notice the ordering of clusters in the lineage prediced for 16cells state? There is an outlier-like cell in the 16cell group, find the outlier and remove it, then re-run Slingshot. 11.1.3 GAM general additive model for identifying temporally expressed genes After running slingshot, an interesting next step may be to find genes that change their expression over the course of development. We demonstrate one possible method for this type of analysis on the 100 most variable genes. We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression. library(gam) t <- deng_SCE$slingPseudotime_1 # for time, only look at the 100 most variable genes Y <- log1p(assay(deng_SCE,"logcounts")) var100 <- names(sort(apply(Y,1,var),decreasing = TRUE))[1:100] Y <- Y[var100,] # fit a GAM with a loess term for pseudotime gam.pval <- apply(Y,1,function(z){ d <- data.frame(z=z, t=t) suppressWarnings({ tmp <- gam(z ~ lo(t), data=d) }) p <- summary(tmp)[3][[1]][2,3] p }) ## Plot the top 100 genes' expression topgenes <- names(sort(gam.pval, decreasing = FALSE))[1:100] heatdata <- assays(deng_SCE)$logcounts[topgenes, order(t, na.last = NA)] heatclus <- deng_SCE$cell_type2[order(t, na.last = NA)] heatmap(heatdata, Colv = NA, ColSideColors = my_color[heatclus],cexRow = 1,cexCol = 1) We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression. 11.1.4 Monocle The original Monocle (Trapnell et al. 2014) method skips the clustering stage of TSCAN and directly builds a minimum spanning tree on a reduced dimension representation (using ‘ICA’) of the cells to connect all cells. Monocle then identifies the longest path in this tree as the main branch and uses this to determine pseudotime. Priors are required such as start/end state and the number of branching events. If the data contains diverging trajectories (i.e. one cell type differentiates into two different cell-types), monocle can identify these. Each of the resulting forked paths is defined as a separate cell state. 11.1.5 Monocle 2 Monocle 2 (Qiu et al. 2017) uses a different approach, with dimensionality reduction and ordering performed by reverse graph embedding (RGE), allowing it to detect branching events in an unsupervised manner. RGE, a machine-learning strategy, learns a ‘principal graph’ to describe the single-cell dataset. RGE also learns the mapping function of data points on the trajectory back to the original high dimentional space simutaneously. In doing so, it aims to position the latent points in the lower dimension space (along the trajectory) while also ensuring their corresponding positions in the input dimension are ‘neighbors’. There are different ways of implementing the RGE framework, Monocle 2 uses DDRTree(Discriminative dimensionality reduction via learning a tree) by default. DDRTree learns latent points and the projection of latent points to the points in original input space, which is equivalent to “dimension reductionâ€. In addition, it simutanously learns ‘principal graph’ for K-means soft clustered cetroids for the latent points. Principal graph is the spanning tree of those centroids. DDRTree returns a principal tree of the centroids of cell clusters in low dimension, pseudotime is derived for individual cells by calculating geomdestic distance of their projections onto the tree from the root (user-defined or arbitrarily assigned). Note Informally, a principal graph is like a principal curve which passes through the ‘middle’ of a data set but is allowed to have branches. library(monocle) #d <- deng_SCE[m3dGenes,] ## feature selection deng <- counts(deng_SCE) m3dGenes <- as.character( M3DropFeatureSelection(deng)$Gene ) d <- deng_SCE[which(rownames(deng_SCE) %in% m3dGenes), ] d <- d[!duplicated(rownames(d)), ] colnames(d) <- 1:ncol(d) geneNames <- rownames(d) rownames(d) <- 1:nrow(d) pd <- data.frame(timepoint = cellLabels) pd <- new("AnnotatedDataFrame", data=pd) fd <- data.frame(gene_short_name = geneNames) fd <- new("AnnotatedDataFrame", data=fd) dCellData <- newCellDataSet(counts(d), phenoData = pd, featureData = fd) # dCellData <- setOrderingFilter(dCellData, which(geneNames %in% m3dGenes)) dCellData <- estimateSizeFactors(dCellData) dCellDataSet <- reduceDimension(dCellData,reduction_method = "DDRTree", pseudo_expr = 1) dCellDataSet <- orderCells(dCellDataSet, reverse = FALSE) plot_cell_trajectory(dCellDataSet) # Store the ordering pseudotime_monocle2 <- data.frame( Timepoint = phenoData(dCellDataSet)$timepoint, pseudotime = phenoData(dCellDataSet)$Pseudotime, State = phenoData(dCellDataSet)$State ) rownames(pseudotime_monocle2) <- 1:ncol(d) pseudotime_order_monocle <- rownames(pseudotime_monocle2[order(pseudotime_monocle2$pseudotime), ]) Note check other available methods for ?reduceDimension We can again compare the inferred pseudotime to the known sampling timepoints. deng_SCE$pseudotime_monocle2 <- pseudotime_monocle2$pseudotime ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_monocle2, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("monocle2 pseudotime") + ylab("Timepoint") + ggtitle("Cells ordered by monocle2 pseudotime") Monocle 2 performs pretty well on these cells. 11.1.6 Monocle 3 Monocle3(Cao et al. 2019) is the updated single-cell analysis toolkit for analysing large datasets. Monocle 3 is designed for use with absolute transcript counts (e.g. from UMI experiments). It first does dimension reduction with UMAP and then clusters the cells with Louvian/Leiden algorithms and merge adjacent groups into supergroup, and finaly resovles the trajectories individual cells can take during development, identifies the locations of branches and convergences within each supergroup. In short, Monocle3 uses UMAP to construct a initial trajectory inference and refines it with learning principal graph. It builds KNN graph in the UMAP dimensions and runs Louvain/Leiden algorithms om the KNN graph to derive communities; edges are drawn to connect communities that have more links (Partitioned Approximate Graph Abstraction (PAGA) graph). Each component of the PAGA grah is passed to the next step which is learning principal graph based on the SimplePPT algorithm. The pseudotime is calculated for individual cells by projecting the cells to their nearest point on the principal graph edge and measure geodesic distance along of principal points to the closest of their root nodes. library(monocle3) ## ## Attaching package: 'monocle3' ## The following objects are masked from 'package:monocle': ## ## plot_genes_in_pseudotime, plot_genes_violin, ## plot_pc_variance_explained ## The following objects are masked from 'package:Biobase': ## ## exprs, fData, fData<-, pData, pData<- gene_meta <- rowData(deng_SCE) #gene_metadata must contain a column verbatim named 'gene_short_name' for certain functions. gene_meta$gene_short_name <- rownames(gene_meta) cds <- new_cell_data_set(expression_data = counts(deng_SCE), cell_metadata = colData(deng_SCE), gene_metadata = gene_meta) ## Step 1: Normalize and pre-process the data cds <- preprocess_cds(cds,num_dim = 5) plot_pc_variance_explained(cds) ## Step 3: Reduce the dimensions using UMAP cds <- reduce_dimension(cds) ## No preprocess_method specified, using preprocess_method = 'PCA' ## Step 4: Cluster the cells cds <- cluster_cells(cds) ## change the clusters ## cds@clusters$UMAP$clusters <- deng_SCE$cell_type2 ## Step 5: Learn a graph cds <- learn_graph(cds,use_partition = TRUE) ## Step 6: Order cells cds <- order_cells(cds, root_cells = c("zy","zy.1","zy.2","zy.3") ) plot_cells(cds, color_cells_by="cell_type2", graph_label_size = 4, cell_size = 2, group_label_size = 6)+ scale_color_manual(values = my_color) plot_cells(cds, graph_label_size = 6, cell_size = 1, color_cells_by="pseudotime", group_label_size = 6) ## Cells aren't colored in a way that allows them to be grouped. pdata_cds <- pData(cds) pdata_cds$pseudotime_monocle3 <- monocle3::pseudotime(cds) ggplot(as.data.frame(pdata_cds), aes(x = pseudotime_monocle3, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("monocle3 pseudotime") + ylab("Timepoint") + ggtitle("Cells ordered by monocle3 pseudotime") deng_SCE$pseudotime_monocle3 <- pdata_cds$pseudotime_monocle3 It did not work well for our small Smart-seq2 dataset. 11.1.7 Diffusion maps Diffusion maps were introduced by Ronald Coifman and Stephane Lafon(Coifman and Lafon 2006), and the underlying idea is to assume that the data are samples from a diffusion process. The method infers the low-dimensional manifold by estimating the eigenvalues and eigenvectors for the diffusion operator related to the data. Angerer et al(Angerer et al. 2016) have applied the diffusion maps concept to the analysis of single-cell RNA-seq data to create an R package called destiny. We will take the ranko prder of cells in the first diffusion map component as “diffusion map pseudotime†here. deng <- logcounts(deng_SCE) colnames(deng) <- cellLabels dm <- DiffusionMap(t(deng)) tmp <- data.frame(DC1 = eigenvectors(dm)[,1], DC2 = eigenvectors(dm)[,2], Timepoint = deng_SCE$cell_type2) ggplot(tmp, aes(x = DC1, y = DC2, colour = Timepoint)) + geom_point() + scale_color_manual(values = my_color) + xlab("Diffusion component 1") + ylab("Diffusion component 2") + theme_classic() deng_SCE$pseudotime_diffusionmap <- rank(eigenvectors(dm)[,1]) ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_diffusionmap, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("Diffusion map pseudotime (first diffusion map component)") + ylab("Timepoint") + ggtitle("Cells ordered by diffusion map pseudotime") Like the other methods, using the first diffusion map component from destiny as pseudotime does a good job at ordering the early time-points (if we take high values as “earlier†in developement), but it is unable to distinguish the later ones. Exercise 2 Do you get a better resolution between the later time points by considering additional eigenvectors? Exercise 3 How does the ordering change if you only use the genes identified by M3Drop? 11.1.8 Other methods 11.1.8.1 SLICER The SLICER(Welch, Hartemink, and Prins 2016) method is an algorithm for constructing trajectories that describe gene expression changes during a sequential biological process, just as Monocle and TSCAN are. SLICER is designed to capture highly nonlinear gene expression changes, automatically select genes related to the process, and detect multiple branch and loop features in the trajectory (Welch, Hartemink, and Prins 2016). The SLICER R package is available from its GitHub repository and can be installed from there using the devtools package. We use the select_genes function in SLICER to automatically select the genes to use in builing the cell trajectory. The function uses “neighbourhood variance†to identify genes that vary smoothly, rather than fluctuating randomly, across the set of cells. Following this, we determine which value of “k†(number of nearest neighbours) yields an embedding that most resembles a trajectory. Then we estimate the locally linear embedding of the cells. library("lle") slicer_genes <- select_genes(t(deng)) k <- select_k(t(deng[slicer_genes,]), kmin = 30, kmax=60) ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates slicer_traj_lle <- lle(t(deng[slicer_genes,]), m = 2, k)$Y ## finding neighbours ## calculating weights ## computing coordinates reducedDim(deng_SCE, "LLE") <- slicer_traj_lle plot_df <- data.frame(slicer1 = reducedDim(deng_SCE, "LLE")[,1], slicer2 = reducedDim(deng_SCE, "LLE")[,2], cell_type2 = deng_SCE$cell_type2) ggplot(data = plot_df)+geom_point(mapping = aes(x = slicer1, y = slicer2, color = cell_type2))+ scale_color_manual(values = my_color)+ xlab("LLE component 1") + ylab("LLE component 2") + ggtitle("Locally linear embedding of cells from SLICER")+ theme_classic() With the locally linear embedding computed we can construct a k-nearest neighbour graph that is fully connected. This plot displays a (yellow) circle for each cell, with the cell ID number overlaid in blue. Here we show the graph computed using 10 nearest neighbours. Here, SLICER appears to detect one major trajectory with one branch. slicer_traj_graph <- conn_knn_graph(slicer_traj_lle, 10) plot(slicer_traj_graph, main = "Fully connected kNN graph from SLICER") From this graph we can identify “extreme†cells that are candidates for start/end cells in the trajectory. ends <- find_extreme_cells(slicer_traj_graph, slicer_traj_lle) start <- ends[1] Having defined a start cell we can order the cells in the estimated pseudotime. pseudotime_order_slicer <- cell_order(slicer_traj_graph, start) branches <- assign_branches(slicer_traj_graph, start) pseudotime_slicer <- data.frame( Timepoint = cellLabels, pseudotime = NA, State = branches ) pseudotime_slicer$pseudotime[pseudotime_order_slicer] <- 1:length(pseudotime_order_slicer) deng_SCE$pseudotime_slicer <- pseudotime_slicer$pseudotime We can again compare the inferred pseudotime to the known sampling timepoints. SLICER does not provide a pseudotime value per se, just an ordering of cells. ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_slicer, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("SLICER pseudotime (cell ordering)") + ylab("Timepoint") + theme_classic() Like the previous method, SLICER (Welch, Hartemink, and Prins 2016) here provides a good ordering for the early time points. It places “16cell†cells before “8cell†cells, but provides better ordering for blast cells than many of the earlier methods. Exercise 4 How do the results change for different k? (e.g. k = 5) What about changing the number of nearest neighbours in the call to conn_knn_graph? Exercise 5 How does the ordering change if you use a different set of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)? 11.1.8.2 Ouija Ouija (http://kieranrcampbell.github.io/ouija/) takes a different approach from the pseudotime estimation methods we have looked at so far. Earlier methods have all been “unsupervisedâ€, which is to say that apart from perhaps selecting informative genes we do not supply the method with any prior information about how we expect certain genes or the trajectory as a whole to behave. Ouija, in contrast, is a probabilistic framework that allows for interpretable learning of single-cell pseudotimes using only small panels of marker genes. This method: infers pseudotimes from a small number of marker genes letting you understand why the pseudotimes have been learned in terms of those genes; provides parameter estimates (with uncertainty) for interpretable gene regulation behaviour (such as the peak time or the upregulation time); has a Bayesian hypothesis test to find genes regulated before others along the trajectory; identifies metastable states, ie discrete cell types along the continuous trajectory. We will supply the following marker genes to Ouija (with timepoints where they are expected to be highly expressed): Early timepoints: Dazl, Rnf17, Sycp3, Nanog, Pou5f1, Fgf8, Egfr, Bmp5, Bmp15 Mid timepoints: Zscan4b, Foxa1, Prdm14, Sox21 Late timepoints: Creb3, Gpx4, Krt8, Elf5, Eomes, Cdx2, Tdgf1, Gdf3 With Ouija we can model genes as either exhibiting monotonic up or down regulation (known as switch-like behaviour), or transient behaviour where the gene briefly peaks. By default, Ouija assumes all genes exhibit switch-like behaviour (the authors assure us not to worry if we get it wrong - the noise model means incorrectly specifying a transient gene as switch-like has minimal effect). Here we can “cheat†a little and check that our selected marker genes do actually identify different timepoints of the differentiation process. ouija_markers_down <- c("Dazl", "Rnf17", "Sycp3", "Fgf8", "Egfr", "Bmp5", "Bmp15", "Pou5f1") ouija_markers_up <- c("Creb3", "Gpx4", "Krt8", "Elf5", "Cdx2", "Tdgf1", "Gdf3", "Eomes") ouija_markers_transient <- c("Zscan4b", "Foxa1", "Prdm14", "Sox21") ouija_markers <- c(ouija_markers_down, ouija_markers_up, ouija_markers_transient) plotExpression(deng_SCE, ouija_markers, x = "cell_type2", colour_by = "cell_type2") + theme(axis.text.x = element_text(angle = 60, hjust = 1)) In order to fit the pseudotimes wesimply call ouija, passing in the expected response types. Note that if no response types are provided then they are all assumed to be switch-like by default, which we will do here. The input to Ouija can be a cell-by-gene matrix of non-negative expression values, or an ExpressionSet object, or, happily, by selecting the logcounts values from a SingleCellExperiment object. We can apply prior information about whether genes are up- or down-regulated across the differentiation process, and also provide prior information about when the switch in expression or a peak in expression is likely to occur. We can fit the Ouija model using either: Hamiltonian Monte Carlo (HMC) - full MCMC inference where gradient information of the log-posterior is used to “guide†the random walk through the parameter space, or Automatic Differentiation Variational Bayes (ADVI or simply VI) - approximate inference where the KL divergence to an approximate distribution is minimised. In general, HMC will provide more accurate inference with approximately correct posterior variance for all parameters. However, VB is orders of magnitude quicker than HMC and while it may underestimate posterior variance, the Ouija authors suggest that anecdotally it often performs as well as HMC for discovering posterior pseudotimes. To help the Ouija model, we provide it with prior information about the strength of switches for up- and down-regulated genes. By setting switch strength to -10 for down-regulated genes and 10 for up-regulated genes with a prior strength standard deviation of 0.5 we are telling the model that we are confident about the expected behaviour of these genes across the differentiation process. options(mc.cores = parallel::detectCores()) response_type <- c(rep("switch", length(ouija_markers_down) + length(ouija_markers_up)), rep("transient", length(ouija_markers_transient))) switch_strengths <- c(rep(-10, length(ouija_markers_down)), rep(10, length(ouija_markers_up))) switch_strength_sd <- c(rep(0.5, length(ouija_markers_down)), rep(0.5, length(ouija_markers_up))) garbage <- capture.output( oui_vb <- ouija(deng_SCE[ouija_markers,], single_cell_experiment_assay = "logcounts", response_type = response_type, switch_strengths = switch_strengths, switch_strength_sd = switch_strength_sd, inference_type = "vb") ) print(oui_vb) ## A Ouija fit with 268 cells and 20 marker genes ## Inference type: Variational Bayes ## (Gene behaviour) Switch/transient: 16 / 4 We can plot the gene expression over pseudotime along with the maximum a posteriori (MAP) estimates of the mean function (the sigmoid or Gaussian transient function) using the plot_expression function. plot_expression(oui_vb) We can also visualise when in the trajectory gene regulation behaviour occurs, either in the form of the switch time or the peak time (for switch-like or transient genes) using the plot_switch_times and plot_transient_times functions: plot_switch_times(oui_vb) plot_peak_times(oui_vb) Identify metastable states using consistency matrices. cmo <- consistency_matrix(oui_vb) plot_consistency(oui_vb) cell_classifications <- cluster_consistency(cmo) map_pst <- map_pseudotime(oui_vb) ouija_pseudotime <- data.frame(map_pst, cell_classifications) ggplot(ouija_pseudotime, aes(x = map_pst, y = cell_classifications)) + geom_point() + xlab("MAP pseudotime") + ylab("Cell classification") deng_SCE$pseudotime_ouija <- ouija_pseudotime$map_pst deng_SCE$ouija_cell_class <- ouija_pseudotime$cell_classifications ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_ouija, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("Ouija pseudotime") + ylab("Timepoint") + theme_classic() Ouija does quite well in the ordering of the cells here, although it can be sensitive to the choice of marker genes and prior information supplied. How do the results change if you select different marker genes or change the priors? Ouija identifies four metastable states here, which we might annotate as “zygote/2cellâ€, “4/8/16 cellâ€, “blast1†and “blast2â€. ggplot(as.data.frame(colData(deng_SCE)), aes(x = as.factor(ouija_cell_class), y = pseudotime_ouija, colour = cell_type2)) + geom_boxplot() + coord_flip() + scale_color_manual(values = my_color) + theme_classic() + xlab("Ouija cell classification") + ylab("Ouija pseudotime") + theme_classic() A common analysis is to work out the regulation orderings of genes. For example, is gene A upregulated before gene B? Does gene C peak before the downregulation of gene D? Ouija answers these questions in terms of a Bayesian hypothesis test of whether the difference in regulation timing (either switch time or peak time) is significantly different to 0. This is collated using the gene_regulation function. gene_regs <- gene_regulation(oui_vb) head(gene_regs) ## # A tibble: 6 x 7 ## # Groups: label, gene_A [6] ## label gene_A gene_B mean_difference lower_95 upper_95 significant ## <chr> <chr> <chr> <dbl> <dbl> <dbl> <lgl> ## 1 Bmp15 - Cdx2 Bmp15 Cdx2 -0.0631 -0.109 -0.0133 TRUE ## 2 Bmp15 - Creb3 Bmp15 Creb3 0.269 0.201 0.321 TRUE ## 3 Bmp15 - Elf5 Bmp15 Elf5 -0.678 -0.718 -0.644 TRUE ## 4 Bmp15 - Eomes Bmp15 Eomes 0.0822 0.00272 0.156 TRUE ## 5 Bmp15 - Foxa1 Bmp15 Foxa1 -0.0211 -0.0508 0.0120 FALSE ## 6 Bmp15 - Gdf3 Bmp15 Gdf3 0.0644 0.0163 0.126 TRUE What conclusions can you draw from the gene regulation output from Ouija? If you have time, you might try the HMC inference method and see if that changes the Ouija results in any way. 11.1.9 Comparison of the methods How do the trajectories inferred by TSCAN, Monocle, Diffusion Map, SLICER and Ouija compare? TSCAN and Diffusion Map methods get the trajectory the “wrong way roundâ€, so we’ll adjust that for these comparisons. df_pseudotime <- as.data.frame( colData(deng_SCE)[, grep("pseudotime", colnames(colData(deng_SCE)))] ) colnames(df_pseudotime) <- gsub("pseudotime_", "", colnames(df_pseudotime)) df_pseudotime$PC1 <- reducedDim(deng_SCE,"PCA")[,1] df_pseudotime$order_tscan <- -df_pseudotime$order_tscan #df_pseudotime$diffusionmap <- df_pseudotime$diffusionmap df_pseudotime$slingshot1 <- colData(deng_SCE)$slingPseudotime_1 corrplot.mixed(cor(df_pseudotime, use = "na.or.complete"), order = "hclust", tl.col = "black", main = "Correlation matrix for pseudotime results", mar = c(0, 0, 3.1, 0)) We see here that Ouija, TSCAN and SLICER all give trajectories that are similar and strongly correlated with PC1. Diffusion Map is less strongly correlated with these methods, and Monocle gives very different results. 11.1.10 Expression of genes through time Each package also enables the visualization of expression through pseudotime. Following individual genes is very helpful for identifying genes that play an important role in the differentiation process. We illustrate the procedure using the Nanog gene. We have added the pseudotime values computed with all methods here to the colData slot of an SCE object. Having done that, the full plotting capabilities of the scater package can be used to investigate relationships between gene expression, cell populations and pseudotime. This is particularly useful for the packages such as SLICER that do not provide plotting functions. Principal components deng_SCE$PC1 <- reducedDim(deng_SCE,"PCA")[,1] plotExpression(deng_SCE, "Nanog", x = "PC1", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) TSCAN plotExpression(deng_SCE, "Nanog", x = "pseudotime_order_tscan", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Monocle plotExpression(deng_SCE, "Nanog", x = "pseudotime_monocle2", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Diffusion Map plotExpression(deng_SCE, "Nanog", x = "pseudotime_diffusionmap", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) SLICER plotExpression(deng_SCE, "Nanog", x = "pseudotime_slicer", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Ouija plotExpression(deng_SCE, "Nanog", x = "pseudotime_ouija", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) How many of these methods outperform the naive approach of using the first principal component to represent pseudotime for these data? Exercise 7: Repeat the exercise using a subset of the genes, e.g. the set of highly variable genes that can be obtained using Brennecke_getVariableGenes() 11.1.11 dynverse https://dynverse.org/users/2-quick_start/ library(dyno) library(tidyverse) # Reproduces the guidelines as created in the shiny app answers <- dynguidelines::answer_questions( multiple_disconnected = FALSE, expect_topology = TRUE, expected_topology = "linear", n_cells = 3000, n_features = 10000, memory = "100GB", docker = FALSE ) guidelines <- dynguidelines::guidelines(answers = answers) guidelines deng_dataset <- wrap_expression( counts = counts(deng_SCE), expression = assay(deng_SCE,"logcounts") ) model <- infer_trajectory(deng_dataset, first(guidelines$methods_selected)) ## Loading required namespace: hdf5r model <- model %>% add_dimred(dyndimred::dimred_mds, expression_source = deng_dataset$expression) plot_dimred( model, expression_source = deng_dataset$expression, grouping = deng_SCE$cell_type2 ) 11.1.12 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] splines parallel stats4 stats graphics grDevices utils ## [8] datasets methods base ## ## other attached packages: ## [1] rstan_2.19.2 StanHeaders_2.19.0 ## [3] lle_1.1 snowfall_1.84-6.1 ## [5] snow_0.4-3 MASS_7.3-51.1 ## [7] scatterplot3d_0.3-41 monocle3_0.2.0 ## [9] gam_1.16.1 foreach_1.4.7 ## [11] ouija_0.99.0 Rcpp_1.0.2 ## [13] SLICER_0.2.0 slingshot_1.2.0 ## [15] princurve_2.1.4 Polychrome_1.2.3 ## [17] corrplot_0.84 ggbeeswarm_0.6.0 ## [19] ggthemes_4.2.0 scater_1.12.2 ## [21] destiny_2.14.0 monocle_2.12.0 ## [23] DDRTree_0.1.5 irlba_2.3.3 ## [25] VGAM_1.1-1 ggplot2_3.2.1 ## [27] Matrix_1.2-17 M3Drop_1.10.0 ## [29] numDeriv_2016.8-1.1 TSCAN_1.22.0 ## [31] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [33] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [35] matrixStats_0.55.0 Biobase_2.44.0 ## [37] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0 ## [39] IRanges_2.18.3 S4Vectors_0.22.1 ## [41] BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] rgl_0.100.30 rsvd_1.0.2 ## [3] vcd_1.4-4 Hmisc_4.2-0 ## [5] zinbwave_1.6.0 corpcor_1.6.9 ## [7] ps_1.3.0 class_7.3-15 ## [9] lmtest_0.9-37 glmnet_2.0-18 ## [11] crayon_1.3.4 laeken_0.5.0 ## [13] nlme_3.1-139 backports_1.1.4 ## [15] qlcMatrix_0.9.7 rlang_0.4.0 ## [17] XVector_0.24.0 readxl_1.3.1 ## [19] callr_3.3.2 limma_3.40.6 ## [21] phylobase_0.8.6 smoother_1.1 ## [23] manipulateWidget_0.10.0 bit64_0.9-7 ## [25] loo_2.1.0 glue_1.3.1 ## [27] pheatmap_1.0.12 rngtools_1.4 ## [29] splancs_2.01-40 processx_3.4.1 ## [31] vipor_0.4.5 AnnotationDbi_1.46.1 ## [33] haven_2.1.1 tidyselect_0.2.5 ## [35] rio_0.5.16 XML_3.98-1.20 ## [37] tidyr_1.0.0 zoo_1.8-6 ## [39] xtable_1.8-4 magrittr_1.5 ## [41] evaluate_0.14 bibtex_0.4.2 ## [43] cli_1.1.0 zlibbioc_1.30.0 ## [45] rstudioapi_0.10 miniUI_0.1.1.1 ## [47] sp_1.3-1 rpart_4.1-15 ## [49] locfdr_1.1-8 RcppEigen_0.3.3.5.0 ## [51] shiny_1.3.2 BiocSingular_1.0.0 ## [53] xfun_0.9 leidenbase_0.1.0 ## [55] inline_0.3.15 pkgbuild_1.0.5 ## [57] cluster_2.1.0 caTools_1.17.1.2 ## [59] sgeostat_1.0-27 tibble_2.1.3 ## [61] ggrepel_0.8.1 ape_5.3 ## [63] stabledist_0.7-1 zeallot_0.1.0 ## [65] withr_2.1.2 bitops_1.0-6 ## [67] slam_0.1-45 ranger_0.11.2 ## [69] plyr_1.8.4 cellranger_1.1.0 ## [71] pcaPP_1.9-73 sparsesvd_0.2 ## [73] coda_0.19-3 e1071_1.7-2 ## [75] RcppParallel_4.4.3 pillar_1.4.2 ## [77] gplots_3.0.1.1 reldist_1.6-6 ## [79] kernlab_0.9-27 TTR_0.23-5 ## [81] ellipsis_0.3.0 tripack_1.3-8 ## [83] DelayedMatrixStats_1.6.1 xts_0.11-2 ## [85] vctrs_0.2.0 NMF_0.21.0 ## [87] tools_3.6.0 foreign_0.8-70 ## [89] rncl_0.8.3 beeswarm_0.2.3 ## [91] munsell_0.5.0 proxy_0.4-23 ## [93] HSMMSingleCell_1.4.0 compiler_3.6.0 ## [95] abind_1.4-5 httpuv_1.5.2 ## [97] pkgmaker_0.27 GenomeInfoDbData_1.2.1 ## [99] gridExtra_2.3 edgeR_3.26.8 ## [101] lattice_0.20-38 deldir_0.1-23 ## [103] utf8_1.1.4 later_0.8.0 ## [105] dplyr_0.8.3 jsonlite_1.6 ## [107] scales_1.0.0 docopt_0.6.1 ## [109] carData_3.0-2 genefilter_1.66.0 ## [111] lazyeval_0.2.2 promises_1.0.1 ## [113] spatstat_1.61-0 car_3.0-3 ## [115] doParallel_1.0.15 latticeExtra_0.6-28 ## [117] R.utils_2.9.0 goftest_1.1-1 ## [119] spatstat.utils_1.13-0 checkmate_1.9.4 ## [121] cowplot_1.0.0 rmarkdown_1.15 ## [123] openxlsx_4.1.0.1 statmod_1.4.32 ## [125] webshot_0.5.1 Rtsne_0.15 ## [127] forcats_0.4.0 copula_0.999-19.1 ## [129] softImpute_1.4 uwot_0.1.4 ## [131] igraph_1.2.4.1 HDF5Array_1.12.2 ## [133] survival_2.43-3 yaml_2.2.0 ## [135] htmltools_0.3.6 memoise_1.1.0 ## [137] locfit_1.5-9.1 viridisLite_0.3.0 ## [139] digest_0.6.21 assertthat_0.2.1 ## [141] mime_0.7 densityClust_0.3 ## [143] registry_0.5-1 RSQLite_2.1.2 ## [145] data.table_1.12.2 blob_1.2.0 ## [147] R.oo_1.22.0 RNeXML_2.3.0 ## [149] labeling_0.3 fastICA_1.2-2 ## [151] Formula_1.2-3 Rhdf5lib_1.6.1 ## [153] RCurl_1.95-4.12 hms_0.5.1 ## [155] rhdf5_2.28.0 colorspace_1.4-1 ## [157] base64enc_0.1-3 nnet_7.3-12 ## [159] ADGofTest_0.3 mclust_5.4.5 ## [161] bookdown_0.13 RANN_2.6.1 ## [163] mvtnorm_1.0-11 fansi_0.4.0 ## [165] pspline_1.0-18 VIM_4.8.0 ## [167] R6_2.4.0 grid_3.6.0 ## [169] lifecycle_0.1.0 acepack_1.4.1 ## [171] zip_2.0.4 curl_4.2 ## [173] gdata_2.18.0 robustbase_0.93-5 ## [175] howmany_0.3-1 RcppAnnoy_0.0.13 ## [177] RColorBrewer_1.1-2 MCMCglmm_2.29 ## [179] iterators_1.0.12 alphahull_2.2 ## [181] stringr_1.4.0 htmlwidgets_1.3 ## [183] polyclip_1.10-0 purrr_0.3.2 ## [185] crosstalk_1.0.0 mgcv_1.8-28 ## [187] tensorA_0.36.1 htmlTable_1.13.2 ## [189] clusterExperiment_2.4.4 codetools_0.2-16 ## [191] FNN_1.1.3 gtools_3.8.1 ## [193] prettyunits_1.0.2 gridBase_0.4-7 ## [195] RSpectra_0.15-0 R.methodsS3_1.7.1 ## [197] gtable_0.3.0 DBI_1.0.0 ## [199] highr_0.8 tensor_1.5 ## [201] httr_1.4.1 KernSmooth_2.23-15 ## [203] stringi_1.4.3 progress_1.2.2 ## [205] reshape2_1.4.3 uuid_0.1-2 ## [207] cubature_2.0.3 annotate_1.62.0 ## [209] viridis_0.5.1 xml2_1.2.2 ## [211] combinat_0.0-8 bbmle_1.0.20 ## [213] boot_1.3-20 BiocNeighbors_1.2.0 ## [215] ade4_1.7-13 DEoptimR_1.0-8 ## [217] bit_1.1-14 spatstat.data_1.4-0 ## [219] pkgconfig_2.0.3 gsl_2.1-6 ## [221] knitr_1.25 References "],
-["dechapter.html", "12 Differential Expression (DE) analysis 12.1 Introduction to DE analysis 12.2 DE in a real dataset", " 12 Differential Expression (DE) analysis 12.1 Introduction to DE analysis 12.1.1 Bulk RNA-seq One of the most common types of analyses when working with bulk RNA-seq data is to identify differentially expressed genes. By comparing the genes that change between two conditions, e.g. mutant and wild-type or stimulated and unstimulated, it is possible to characterize the molecular mechanisms underlying the change. Several different methods, e.g. DESeq2 and edgeR, have been developed for bulk RNA-seq. Moreover, there are also extensive datasets available where the RNA-seq data has been validated using RT-qPCR. These data can be used to benchmark DE finding algorithms and the available evidence suggests that the algorithms are performing quite well. 12.1.2 Single cell RNA-seq In contrast to bulk RNA-seq, in scRNA-seq we usually do not have a defined set of experimental conditions. Instead, as was shown in a previous chapter (10.2) we can identify the cell groups by using an unsupervised clustering approach. Once the groups have been identified one can find differentially expressed genes either by comparing the differences in variance between the groups (like the Kruskal-Wallis test implemented in SC3), or by comparing gene expression between clusters in a pairwise manner. In the following chapter we will mainly consider tools developed for pairwise comparisons. 12.1.3 Differences in Distribution Unlike bulk RNA-seq, we generally have a large number of samples (i.e. cells) for each group we are comparing in single-cell experiments. Thus we can take advantage of the whole distribution of expression values in each group to identify differences between groups rather than only comparing estimates of mean-expression as is standard for bulk RNASeq. There are two main approaches to comparing distributions. Firstly, we can use existing statistical models/distributions and fit the same type of model to the expression in each group then test for differences in the parameters for each model, or test whether the model fits better if a particular paramter is allowed to be different according to group. For instance in Chapter ?? we used edgeR to test whether allowing mean expression to be different in different batches significantly improved the fit of a negative binomial model of the data. Alternatively, we can use a non-parametric test which does not assume that expression values follow any particular distribution, e.g. the Kolmogorov-Smirnov test (KS-test). Non-parametric tests generally convert observed expression values to ranks and test whether the distribution of ranks for one group are signficantly different from the distribution of ranks for the other group. However, some non-parametric methods fail in the presence of a large number of tied values, such as the case for dropouts (zeros) in single-cell RNA-seq expression data. Moreover, if the conditions for a parametric test hold, then it will typically be more powerful than a non-parametric test. 12.1.4 Models of single-cell RNASeq data The most common model of RNASeq data is the negative binomial model: set.seed(1) hist( rnbinom( 1000, mu = 10, size = 100), col = "grey50", xlab = "Read Counts", main = "Negative Binomial" ) Figure 12.1: Negative Binomial distribution of read counts for a single gene across 1000 cells Mean: \\(\\mu = mu\\) Variance: \\(\\sigma^2 = mu + mu^2/size\\) It is parameterized by the mean expression (mu) and the dispersion (size), which is inversely related to the variance. The negative binomial model fits bulk RNA-seq data very well and it is used for most statistical methods designed for such data. In addition, it has been show to fit the distribution of molecule counts obtained from data tagged by unique molecular identifiers (UMIs) quite well (Grun et al. 2014, Islam et al. 2011). However, a raw negative binomial model does not fit full-length transcript data as well due to the high dropout rates relative to the non-zero read counts. For this type of data a variety of zero-inflated negative binomial models have been proposed (e.g. MAST, SCDE). d <- 0.5; counts <- rnbinom( 1000, mu = 10, size = 100 ) counts[runif(1000) < d] <- 0 hist( counts, col = "grey50", xlab = "Read Counts", main = "Zero-inflated NB" ) Figure 12.2: Zero-inflated Negative Binomial distribution Mean: \\(\\mu = mu \\cdot (1 - d)\\) Variance: \\(\\sigma^2 = \\mu \\cdot (1-d) \\cdot (1 + d \\cdot \\mu + \\mu / size)\\) These models introduce a new parameter \\(d\\), for the dropout rate, to the negative binomial model. As we saw in Chapter 19, the dropout rate of a gene is strongly correlated with the mean expression of the gene. Different zero-inflated negative binomial models use different relationships between mu and d and some may fit \\(\\mu\\) and \\(d\\) to the expression of each gene independently. Finally, several methods use a Poisson-Beta distribution which is based on a mechanistic model of transcriptional bursting. There is strong experimental support for this model (Kim and Marioni, 2013) and it provides a good fit to scRNA-seq data but it is less easy to use than the negative-binomial models and much less existing methods upon which to build than the negative binomial model. a <- 0.1 b <- 0.1 g <- 100 lambdas <- rbeta(1000, a, b) counts <- sapply(g*lambdas, function(l) {rpois(1, lambda = l)}) hist( counts, col = "grey50", xlab = "Read Counts", main = "Poisson-Beta" ) Mean: \\(\\mu = g \\cdot a / (a + b)\\) Variance: \\(\\sigma^2 = g^2 \\cdot a \\cdot b/((a + b + 1) \\cdot (a + b)^2)\\) This model uses three parameters: \\(a\\) the rate of activation of transcription; \\(b\\) the rate of inhibition of transcription; and \\(g\\) the rate of transcript production while transcription is active at the locus. Differential expression methods may test each of the parameters for differences across groups or only one (often \\(g\\)). All of these models may be further expanded to explicitly account for other sources of gene expression differences such as batch-effect or library depth depending on the particular DE algorithm. Exercise: Vary the parameters of each distribution to explore how they affect the distribution of gene expression. How similar are the Poisson-Beta and Negative Binomial models? 12.2 DE in a real dataset library(scRNA.seq.funcs) library(edgeR) library(monocle) library(MAST) library(ROCR) set.seed(1) 12.2.1 Introduction To test different single-cell differential expression methods we will be using the Blischak dataset from Chapters 7-17. For this experiment bulk RNA-seq data for each cell-line was generated in addition to single-cell data. We will use the differentially expressed genes identified using standard methods on the respective bulk data as the ground truth for evaluating the accuracy of each single-cell method. To save time we have pre-computed these for you. You can run the commands below to load these data. DE <- read.table("data/tung/TPs.txt") notDE <- read.table("data/tung/TNs.txt") GroundTruth <- list( DE = as.character(unlist(DE)), notDE = as.character(unlist(notDE)) ) This ground truth has been produce for the comparison of individual NA19101 to NA19239. Now load the respective single-cell data: molecules <- read.table("data/tung/molecules.txt", sep = "\\t") anno <- read.table("data/tung/annotation.txt", sep = "\\t", header = TRUE) keep <- anno[,1] == "NA19101" | anno[,1] == "NA19239" data <- molecules[,keep] group <- anno[keep,1] batch <- anno[keep,4] # remove genes that aren't expressed in at least 6 cells gkeep <- rowSums(data > 0) > 5; counts <- data[gkeep,] # Library size normalization lib_size = colSums(counts) norm <- t(t(counts)/lib_size * median(lib_size)) # Variant of CPM for datasets with library sizes of fewer than 1 mil molecules Now we will compare various single-cell DE methods. We will focus on methods that performed well in Soneson and Robinson’s [2019; CITE] detailed comparison of differential expression methods for single-cell data. Note that we will only be running methods which are available as R-packages and run relatively quickly. 12.2.2 Kolmogorov-Smirnov test The types of test that are easiest to work with are non-parametric ones. The most commonly used non-parametric test is the Kolmogorov-Smirnov test (KS-test) and we can use it to compare the distributions for each gene in the two individuals. The KS-test quantifies the distance between the empirical cummulative distributions of the expression of each gene in each of the two populations. It is sensitive to changes in mean experession and changes in variability. However it assumes data is continuous and may perform poorly when data contains a large number of identical values (eg. zeros). Another issue with the KS-test is that it can be very sensitive for large sample sizes and thus it may end up as significant even though the magnitude of the difference is very small. Now run the test: pVals <- apply( norm, 1, function(x) { ks.test( x[group == "NA19101"], x[group == "NA19239"] )$p.value } ) # multiple testing correction pVals <- p.adjust(pVals, method = "fdr") This code “applies†the function to each row (specified by 1) of the expression matrix, data. In the function we are returning just the p.value from the ks.test output. We can now consider how many of the ground truth positive and negative DE genes are detected by the KS-test: 12.2.2.1 Evaluating Accuracy sigDE <- names(pVals)[pVals < 0.05] length(sigDE) # Number of KS-DE genes sum(GroundTruth$DE %in% sigDE) # Number of KS-DE genes that are true DE genes sum(GroundTruth$notDE %in% sigDE) # Number of KS-DE genes that are truly not-DE As you can see many more of our ground truth negative genes were identified as DE by the KS-test (false positives) than ground truth positive genes (true positives), however this may be due to the larger number of notDE genes thus we typically normalize these counts as the True positive rate (TPR), TP/(TP + FN), and False positive rate (FPR), FP/(FP+TP). tp <- sum(GroundTruth$DE %in% sigDE) fp <- sum(GroundTruth$notDE %in% sigDE) tn <- sum(GroundTruth$notDE %in% names(pVals)[pVals >= 0.05]) fn <- sum(GroundTruth$DE %in% names(pVals)[pVals >= 0.05]) tpr <- tp/(tp + fn) fpr <- fp/(fp + tn) cat(c(tpr, fpr)) Now we can see the TPR is much higher than the FPR indicating the KS test is identifying DE genes. So far we’ve only evaluated the performance at a single significance threshold. Often it is informative to vary the threshold and evaluate performance across a range of values. This is then plotted as a receiver-operating-characteristic curve (ROC) and a general accuracy statistic can be calculated as the area under this curve (AUC). We will use the ROCR package to facilitate this plotting. # Only consider genes for which we know the ground truth pVals <- pVals[names(pVals) %in% GroundTruth$DE | names(pVals) %in% GroundTruth$notDE] truth <- rep(1, times = length(pVals)); truth[names(pVals) %in% GroundTruth$DE] = 0; pred <- ROCR::prediction(pVals, truth) perf <- ROCR::performance(pred, "tpr", "fpr") ROCR::plot(perf) aucObj <- ROCR::performance(pred, "auc") aucObj@y.values[[1]] # AUC Finally to facilitate the comparisons of other DE methods let’s put this code into a function so we don’t need to repeat it: DE_Quality_AUC <- function(pVals) { pVals <- pVals[names(pVals) %in% GroundTruth$DE | names(pVals) %in% GroundTruth$notDE] truth <- rep(1, times = length(pVals)); truth[names(pVals) %in% GroundTruth$DE] = 0; pred <- ROCR::prediction(pVals, truth) perf <- ROCR::performance(pred, "tpr", "fpr") ROCR::plot(perf) aucObj <- ROCR::performance(pred, "auc") return(aucObj@y.values[[1]]) } 12.2.3 Wilcox/Mann-Whitney-U Test The Wilcox-rank-sum test is another non-parametric test, but tests specifically if values in one group are greater/less than the values in the other group. Thus it is often considered a test for difference in median expression between two groups; whereas the KS-test is sensitive to any change in distribution of expression values. pVals <- apply( norm, 1, function(x) { wilcox.test( x[group == "NA19101"], x[group == "NA19239"] )$p.value } ) # multiple testing correction pVals <- p.adjust(pVals, method = "fdr") DE_Quality_AUC(pVals) 12.2.4 edgeR We’ve already used edgeR for differential expression in Chapter ??. edgeR is based on a negative binomial model of gene expression and uses a generalized linear model (GLM) framework, the enables us to include other factors such as batch to the model. dge <- DGEList( counts = counts, norm.factors = rep(1, length(counts[1,])), group = group ) group_edgeR <- factor(group) design <- model.matrix(~ group_edgeR) dge <- estimateDisp(dge, design = design, trend.method = "none") fit <- glmFit(dge, design) res <- glmLRT(fit) pVals <- res$table[,4] names(pVals) <- rownames(res$table) pVals <- p.adjust(pVals, method = "fdr") DE_Quality_AUC(pVals) 12.2.5 MAST MAST is based on a zero-inflated negative binomial model. It tests for differential expression using a hurdle model to combine tests of discrete (0 vs not zero) and continuous (non-zero values) aspects of gene expression. Again this uses a linear modelling framework to enable complex models to be considered. log_counts <- log(counts + 1) / log(2) fData <- data.frame(names = rownames(log_counts)) rownames(fData) <- rownames(log_counts); cData <- data.frame(cond = group) rownames(cData) <- colnames(log_counts) obj <- FromMatrix(as.matrix(log_counts), cData, fData) colData(obj)$cngeneson <- scale(colSums(assay(obj) > 0)) cond <- factor(colData(obj)$cond) # Model expression as function of condition & number of detected genes zlmCond <- zlm.SingleCellAssay(~ cond + cngeneson, obj) summaryCond <- summary(zlmCond, doLRT = "condNA19101") summaryDt <- summaryCond$datatable summaryDt <- as.data.frame(summaryDt) pVals <- unlist(summaryDt[summaryDt$component == "H",4]) # H = hurdle model names(pVals) <- unlist(summaryDt[summaryDt$component == "H",1]) pVals <- p.adjust(pVals, method = "fdr") DE_Quality_AUC(pVals) 12.2.6 limma 12.2.7 Pseudobulk 12.2.8 sessionInfo() "],
+["quality-control-and-data-visualisation.html", "6 Quality control and data visualisation 6.1 Expression QC overview (UMI) 6.2 Cell QC 6.3 Doublet detection 6.4 Gene QC 6.5 Exercise: Expression QC (Reads) 6.6 Data visualization and exploratory data analysis 6.7 Exercise: Data visualization (Reads)", " 6 Quality control and data visualisation The principle of garbage in, garbage out is at least as strong in single-cell genomics as it is elsewere in science. Effective quality control (QC) is crucial to high-quality scRNA-seq data analysis. We discuss principles and strategies for QC in this chapter, along with some discussion and demonstration of data visualisation approaches. 6.1 Expression QC overview (UMI) 6.1.1 Introduction Once gene expression has been quantified it is summarized as an expression matrix where each row corresponds to a gene (or transcript) and each column corresponds to a single cell. This matrix should be examined to remove poor quality cells which were not detected in either read QC or mapping QC steps. Failure to remove low quality cells at this stage may add technical noise which has the potential to obscure the biological signals of interest in the downstream analysis. Since there is currently no standard method for performing scRNASeq the expected values for the various QC measures that will be presented here can vary substantially from experiment to experiment. Thus, to perform QC we will be looking for cells which are outliers with respect to the rest of the dataset rather than comparing to independent quality standards. Consequently, care should be taken when comparing quality metrics across datasets collected using different protocols. 6.1.2 Tung dataset To illustrate cell QC, we consider a dataset of induced pluripotent stem cells generated from three different individuals (Tung et al. 2017) in Yoav Gilad’s lab at the University of Chicago. The experiments were carried out on the Fluidigm C1 platform and to facilitate the quantification both unique molecular identifiers (UMIs) and ERCC spike-ins were used. The data files are located in the tung folder in your working directory. These files are the copies of the original files made on the 15/03/16. We will use these copies for reproducibility purposes. library(SingleCellExperiment) library(scater) options(stringsAsFactors = FALSE) Load the data and annotations: molecules <- read.table("data/tung/molecules.txt", sep = "\\t") anno <- read.table("data/tung/annotation.txt", sep = "\\t", header = TRUE) Inspect a small portion of the expression matrix head(molecules[ , 1:3]) ## NA19098.r1.A01 NA19098.r1.A02 NA19098.r1.A03 ## ENSG00000237683 0 0 0 ## ENSG00000187634 0 0 0 ## ENSG00000188976 3 6 1 ## ENSG00000187961 0 0 0 ## ENSG00000187583 0 0 0 ## ENSG00000187642 0 0 0 head(anno) ## individual replicate well batch sample_id ## 1 NA19098 r1 A01 NA19098.r1 NA19098.r1.A01 ## 2 NA19098 r1 A02 NA19098.r1 NA19098.r1.A02 ## 3 NA19098 r1 A03 NA19098.r1 NA19098.r1.A03 ## 4 NA19098 r1 A04 NA19098.r1 NA19098.r1.A04 ## 5 NA19098 r1 A05 NA19098.r1 NA19098.r1.A05 ## 6 NA19098 r1 A06 NA19098.r1 NA19098.r1.A06 The data consists of 3 individuals and r length(unique(anno$replicate)) replicates and therefore has r length(unique(anno$batch)) batches in total. We standardize the analysis by using both SingleCellExperiment (SCE) and scater packages. First, create the SCE object: umi <- SingleCellExperiment( assays = list(counts = as.matrix(molecules)), colData = anno ) Remove genes that are not expressed in any cell: keep_feature <- rowSums(counts(umi) > 0) > 0 umi <- umi[keep_feature, ] Define control features (genes) - ERCC spike-ins and mitochondrial genes (provided by the authors): isSpike(umi, "ERCC") <- grepl("^ERCC-", rownames(umi)) isSpike(umi, "MT") <- rownames(umi) %in% c("ENSG00000198899", "ENSG00000198727", "ENSG00000198888", "ENSG00000198886", "ENSG00000212907", "ENSG00000198786", "ENSG00000198695", "ENSG00000198712", "ENSG00000198804", "ENSG00000198763", "ENSG00000228253", "ENSG00000198938", "ENSG00000198840") Calculate the quality metrics: umi <- calculateQCMetrics( umi, feature_controls = list( ERCC = isSpike(umi, "ERCC"), MT = isSpike(umi, "MT") ) ) ## Warning in calculateQCMetrics(umi, feature_controls = list(ERCC = ## isSpike(umi, : spike-in set 'ERCC' overwritten by feature_controls set of ## the same name 6.2 Cell QC 6.2.1 Library size Next we consider the total number of RNA molecules detected per sample (if we were using read counts rather than UMI counts this would be the total number of reads). Wells with few reads/molecules are likely to have been broken or failed to capture a cell, and should thus be removed. hist( umi$total_counts, breaks = 100 ) abline(v = 25000, col = "red") Figure 6.1: Histogram of library sizes for all cells Exercise 1 How many cells does our filter remove? What distribution do you expect that the total number of molecules for each cell should follow? Our answer ## filter_by_total_counts ## FALSE TRUE ## 46 818 6.2.2 Detected genes In addition to ensuring sufficient sequencing depth for each sample, we also want to make sure that the reads are distributed across the transcriptome. Thus, we count the total number of unique genes detected in each sample. hist( umi$total_features_by_counts, breaks = 100 ) abline(v = 7000, col = "red") Figure 6.2: Histogram of the number of detected genes in all cells From the plot we conclude that most cells have between 7,000-10,000 detected genes, which is normal for high-depth scRNA-seq. However, this varies by experimental protocol and sequencing depth. For example, droplet-based methods or samples with lower sequencing-depth typically detect fewer genes per cell. The most notable feature in the above plot is the “heavy tail†on the left hand side of the distribution. If detection rates were equal across the cells then the distribution should be approximately normal. Thus we remove those cells in the tail of the distribution (fewer than 7,000 detected genes). Exercise 2 How many cells does our filter remove? Our answer ## filter_by_expr_features ## FALSE TRUE ## 116 748 6.2.3 ERCCs and MTs Another measure of cell quality is the ratio between ERCC spike-in RNAs and endogenous RNAs. This ratio can be used to estimate the total amount of RNA in the captured cells. Cells with a high level of spike-in RNAs had low starting amounts of RNA, likely due to the cell being dead or stressed which may result in the RNA being degraded. plotColData( umi, x = "total_features_by_counts", y = "pct_counts_MT", colour = "batch" ) Figure 6.3: Percentage of counts in MT genes plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "batch" ) Figure 6.4: Percentage of counts in ERCCs The above analysis shows that majority of the cells from NA19098.r2 batch have a very high ERCC/Endo ratio. Indeed, it has been shown by the authors that this batch contains cells of smaller size. Exercise 3 Create filters for removing batch NA19098.r2 and cells with high expression of mitochondrial genes (>10% of total counts in a cell). Our answer ## filter_by_ERCC ## FALSE TRUE ## 96 768 ## filter_by_MT ## FALSE TRUE ## 31 833 Exercise 4 What would you expect to see in the ERCC vs counts plot if you were examining a dataset containing cells of different sizes (eg. normal & senescent cells)? Answer You would expect to see a group corresponding to the smaller cells (normal) with a higher fraction of ERCC reads than a separate group corresponding to the larger cells (senescent). 6.2.4 Cell filtering 6.2.4.1 Manual Now we can define a cell filter based on our previous analysis: umi$use <- ( # sufficient features (genes) filter_by_expr_features & # sufficient molecules counted filter_by_total_counts & # sufficient endogenous RNA filter_by_ERCC & # remove cells with unusual number of reads in MT genes filter_by_MT ) table(umi$use) ## ## FALSE TRUE ## 207 657 6.2.4.2 Automatic Another option available in scater is to conduct PCA on a set of QC metrics and then use automatic outlier detection to identify potentially problematic cells. By default, the following metrics are used for PCA-based outlier detection: pct_counts_top_100_features total_features pct_counts_feature_controls n_detected_feature_controls log10_counts_endogenous_features log10_counts_feature_controls scater first creates a matrix where the rows represent cells and the columns represent the different QC metrics. Then, outlier cells can also be identified by using the mvoutlier package on the QC metrics for all cells. This will identify cells that have substantially different QC metrics from the others, possibly corresponding to low-quality cells. We can visualize any outliers using a principal components plot as shown below: umi <- runPCA( umi, use_coldata = TRUE, detect_outliers = TRUE ) reducedDimNames(umi) ## [1] "PCA_coldata" Column subsetting can then be performed based on the $outlier slot, which indicates whether or not each cell has been designated as an outlier. Automatic outlier detection can be informative, but a close inspection of QC metrics and tailored filtering for the specifics of the dataset at hand is strongly recommended. table(umi$outlier) ## ## FALSE TRUE ## 791 73 Then, we can use a PCA plot to see a 2D representation of the cells ordered by their quality metrics. plotReducedDim( umi, use_dimred = "PCA_coldata", size_by = "total_features_by_counts", shape_by = "use", colour_by = "outlier" ) 6.2.5 Compare filterings Exercise 5 Compare the default, automatic and manual cell filters. Plot a Venn diagram of the outlier cells from these filterings. Hint: Use vennCounts and vennDiagram functions from the limma package to make a Venn diagram. Answer library(limma) auto <- colnames(umi)[umi$outlier] man <- colnames(umi)[!umi$use] venn.diag <- vennCounts( cbind(colnames(umi) %in% auto, colnames(umi) %in% man) ) vennDiagram( venn.diag, names = c("Automatic", "Manual"), circle.col = c("blue", "green") ) Figure 6.5: Comparison of the default, automatic and manual cell filters 6.3 Doublet detection For droplet-based datasets, there is chance that multiple cells are enclosed in one droplet resulting one cell barcode actually containing read information from multiple cells. One way to find doublets/multiplets in the data is to see if there are cells co-expressing markers of distinct cell types. There are also computational tools available for detecting potential doublets in the cells. A lot of these tools rely on artificial doublets formed from the datasets by randomly joining the expression profiles of two cells. Then the cells are tested against the artificial doublet profiles. We demonstrate the usage of two of these doublet detection tools. 6.3.1 scds scds(Bais and Kostka 2019) has two detection methods: co-expression based; binary-classification based. In co-expression based approach, the gene-pairs’ co-expression probablities are estimated based on a binomial model and gene pairs that do not co-expression often get higher scores when they co-expression in some cells. The cells’ doublet scores are derived based on the co-expression of pairs of genes. In the binary classification based approach, artificial doublet clusters are generated and cells are difficult to separate from the artificial doublets get higher doublet scores. library(scds) #- Annotate doublet using co-expression based doublet scoring: umi = cxds(umi) #- Annotate doublet using binary classification based doublet scoring: umi = bcds(umi) ## [1] train-error:0.058299+0.009273 test-error:0.098960+0.018377 ## Multiple eval metrics are present. Will use test_error for early stopping. ## Will train until test_error hasn't improved in 2 rounds. ## ## [2] train-error:0.046296+0.003294 test-error:0.076397+0.019991 ## [3] train-error:0.034001+0.004358 test-error:0.064817+0.012391 ## [4] train-error:0.028069+0.002583 test-error:0.056727+0.014316 ## [5] train-error:0.022861+0.003607 test-error:0.057306+0.014178 ## [6] train-error:0.020401+0.002954 test-error:0.056752+0.019521 ## Stopping. Best iteration: ## [4] train-error:0.028069+0.002583 test-error:0.056727+0.014316 ## ## [1] train-error:0.049769 ## Will train until train_error hasn't improved in 2 rounds. ## ## [2] train-error:0.046875 ## [3] train-error:0.039352 #- Combine both annotations into a hybrid annotation umi = cxds_bcds_hybrid(umi) #- Doublet scores are now available via colData: CD = colData(umi) head(cbind(CD$cxds_score,CD$bcds_score, CD$hybrid_score)) ## [,1] [,2] [,3] ## NA19098.r1.A01 4131.405 0.1356272 0.2441677 ## NA19098.r1.A02 4564.089 0.2825648 0.4695857 ## NA19098.r1.A03 2827.904 0.1368439 0.1693738 ## NA19098.r1.A04 4708.213 0.1318728 0.2728862 ## NA19098.r1.A05 6134.590 0.1356003 0.3616178 ## NA19098.r1.A06 5810.730 0.1390059 0.3472598 plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "hybrid_score" ) The scds paper features excellent descriptions and evaluations of other currently-available doublet detection methods. 6.3.2 DoubletDetection DoubletDetection is a python module that runs on raw UMI counts data. It generates artificial doublets and then perform cell clustering using the augmented dataset. Cells cluster closely to the artificial doublets across multiple iterations are predicted to be doublets. We provided the python scripts for running DoubletDetection on Tung datasets at ./mig_2019_scrnaseq-workshop/course_files/utils/run_doubletDetection.py python run_doubletDetection.py Here is the prediction results by DoubletDetection: require(UpSetR) ## Loading required package: UpSetR pred_tung <- read.delim(file = "data/doublets/tung.dbls.txt", header = FALSE) dim(pred_tung) ## [1] 864 1 dim(anno) ## [1] 864 5 umi$dbd_dbl <- factor(pred_tung$V1) qc_label <- read.delim(file = "data/qc_ipsc.txt") head(qc_label) ## individual replicate well cell_number concentration tra1.60 ## 1 NA19098 r1 A01 1 1.734785 1 ## 2 NA19098 r1 A02 1 1.723038 1 ## 3 NA19098 r1 A03 1 1.512786 1 ## 4 NA19098 r1 A04 1 1.347492 1 ## 5 NA19098 r1 A05 1 2.313047 1 ## 6 NA19098 r1 A06 1 2.056803 1 qc_label$sample_id <- paste0(qc_label$individual,".",qc_label$replicate,".",qc_label$well) rownames(qc_label) <- qc_label$sample_id umi$cell_number <- as.character(qc_label[umi$sample_id,"cell_number"]) umi$cell_number[qc_label$cell_number==0] <- "no_cell" umi$cell_number[qc_label$cell_number == 1] <- "single_cell" umi$cell_number[qc_label$cell_number>1] <- "multi_cell" multiplot(plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "hybrid_score" ), plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "dbd_dbl" ), plotColData( umi, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "cell_number" ),cols =2) doublets <- unique(umi$sample_id[umi$dbd_dbl =="1"], umi$sample_id[umi$hybrid_score > 0.8]) pl_list <- UpSetR::fromList(list(pred = doublets,qc_label = qc_label$sample_id[qc_label$cell_number >1])) UpSetR::upset(pl_list,sets = c("pred","qc_label")) 6.3.2.1 Other tools available: DoubletFinder DoubletCells as part of SimpleSingleCell Scrublet 6.4 Gene QC 6.4.1 Gene expression In addition to removing cells with poor quality, it is usually a good idea to exclude genes where we suspect that technical artefacts may have skewed the results. Moreover, inspection of the gene expression profiles may provide insights about how the experimental procedures could be improved. It is often instructive to consider the number of reads consumed by the top 50 expressed genes. plotHighestExprs(umi, exprs_values = "counts") Figure 6.6: Number of total counts consumed by the top 50 expressed genes The distributions are relatively flat indicating (but not guaranteeing!) good coverage of the full transcriptome of these cells. However, there are several spike-ins in the top 15 genes which suggests a greater dilution of the spike-ins may be preferrable if the experiment is to be repeated. 6.4.2 Gene filtering It is typically a good idea to remove genes whose expression level is considered “undetectableâ€. We define a gene as detectable if at least two cells contain more than 1 transcript from the gene. If we were considering read counts rather than UMI counts a reasonable threshold is to require at least five reads in at least two cells. However, in both cases the threshold strongly depends on the sequencing depth. It is important to keep in mind that genes must be filtered after cell filtering since some genes may only be detected in poor quality cells (note colData(umi)$use filter applied to the umi dataset). keep_feature <- nexprs( umi[,colData(umi)$use], byrow = TRUE, detection_limit = 1 ) >= 2 rowData(umi)$use <- keep_feature table(keep_feature) ## keep_feature ## FALSE TRUE ## 4660 14066 Depending on the cell-type, protocol and sequencing depth, other cut-offs may be appropriate. 6.4.3 Save the data Dimensions of the QCed dataset (do not forget about the gene filter we defined above): dim(umi[rowData(umi)$use, colData(umi)$use]) ## [1] 14066 657 Let’s create an additional slot with log-transformed counts (we will need it in the next chapters) and remove saved PCA results from the reducedDim slot: assay(umi, "logcounts_raw") <- log2(counts(umi) + 1) reducedDim(umi) <- NULL Save the data: saveRDS(umi, file = "data/tung/umi.rds") 6.4.4 Big Exercise Perform exactly the same QC analysis with read counts of the same Blischak data. Use tung/reads.txt file to load the reads. Once you have finished please compare your results to ours (next chapter). 6.4.5 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] UpSetR_1.4.0 scds_1.0.0 ## [3] limma_3.40.6 scater_1.12.2 ## [5] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [7] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [9] BiocParallel_1.18.1 matrixStats_0.55.0 ## [11] Biobase_2.44.0 GenomicRanges_1.36.1 ## [13] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [15] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] ggbeeswarm_0.6.0 colorspace_1.4-1 ## [3] mvoutlier_2.0.9 class_7.3-15 ## [5] modeltools_0.2-22 rio_0.5.16 ## [7] mclust_5.4.5 XVector_0.24.0 ## [9] pls_2.7-1 BiocNeighbors_1.2.0 ## [11] cvTools_0.3.2 flexmix_2.3-15 ## [13] mvtnorm_1.0-11 ranger_0.11.2 ## [15] splines_3.6.0 sROC_0.1-2 ## [17] robustbase_0.93-5 knitr_1.25 ## [19] zeallot_0.1.0 robCompositions_2.1.0 ## [21] kernlab_0.9-27 cluster_2.1.0 ## [23] rrcov_1.4-7 compiler_3.6.0 ## [25] backports_1.1.4 assertthat_0.2.1 ## [27] Matrix_1.2-17 lazyeval_0.2.2 ## [29] BiocSingular_1.0.0 htmltools_0.3.6 ## [31] tools_3.6.0 rsvd_1.0.2 ## [33] gtable_0.3.0 glue_1.3.1 ## [35] GenomeInfoDbData_1.2.1 dplyr_0.8.3 ## [37] Rcpp_1.0.2 carData_3.0-2 ## [39] cellranger_1.1.0 zCompositions_1.3.2-1 ## [41] vctrs_0.2.0 sgeostat_1.0-27 ## [43] fpc_2.2-3 DelayedMatrixStats_1.6.1 ## [45] lmtest_0.9-37 xfun_0.9 ## [47] laeken_0.5.0 stringr_1.4.0 ## [49] openxlsx_4.1.0.1 lifecycle_0.1.0 ## [51] irlba_2.3.3 DEoptimR_1.0-8 ## [53] zlibbioc_1.30.0 MASS_7.3-51.1 ## [55] zoo_1.8-6 scales_1.0.0 ## [57] VIM_4.8.0 hms_0.5.1 ## [59] RColorBrewer_1.1-2 yaml_2.2.0 ## [61] curl_4.2 NADA_1.6-1 ## [63] gridExtra_2.3 reshape_0.8.8 ## [65] stringi_1.4.3 highr_0.8 ## [67] pcaPP_1.9-73 e1071_1.7-2 ## [69] boot_1.3-20 zip_2.0.4 ## [71] truncnorm_1.0-8 rlang_0.4.0 ## [73] pkgconfig_2.0.3 prabclus_2.3-1 ## [75] bitops_1.0-6 evaluate_0.14 ## [77] lattice_0.20-38 purrr_0.3.2 ## [79] labeling_0.3 cowplot_1.0.0 ## [81] tidyselect_0.2.5 GGally_1.4.0 ## [83] plyr_1.8.4 magrittr_1.5 ## [85] bookdown_0.13 R6_2.4.0 ## [87] pillar_1.4.2 haven_2.1.1 ## [89] foreign_0.8-70 withr_2.1.2 ## [91] survival_2.43-3 abind_1.4-5 ## [93] RCurl_1.95-4.12 sp_1.3-1 ## [95] nnet_7.3-12 tibble_2.1.3 ## [97] crayon_1.3.4 car_3.0-3 ## [99] xgboost_0.90.0.2 rmarkdown_1.15 ## [101] viridis_0.5.1 grid_3.6.0 ## [103] readxl_1.3.1 data.table_1.12.2 ## [105] forcats_0.4.0 diptest_0.75-7 ## [107] vcd_1.4-4 digest_0.6.21 ## [109] tidyr_1.0.0 munsell_0.5.0 ## [111] beeswarm_0.2.3 viridisLite_0.3.0 ## [113] vipor_0.4.5 6.5 Exercise: Expression QC (Reads) library(SingleCellExperiment) library(scater) options(stringsAsFactors = FALSE) reads <- read.table("data/tung/reads.txt", sep = "\\t") anno <- read.table("data/tung/annotation.txt", sep = "\\t", header = TRUE) head(reads[ , 1:3]) ## NA19098.r1.A01 NA19098.r1.A02 NA19098.r1.A03 ## ENSG00000237683 0 0 0 ## ENSG00000187634 0 0 0 ## ENSG00000188976 57 140 1 ## ENSG00000187961 0 0 0 ## ENSG00000187583 0 0 0 ## ENSG00000187642 0 0 0 head(anno) ## individual replicate well batch sample_id ## 1 NA19098 r1 A01 NA19098.r1 NA19098.r1.A01 ## 2 NA19098 r1 A02 NA19098.r1 NA19098.r1.A02 ## 3 NA19098 r1 A03 NA19098.r1 NA19098.r1.A03 ## 4 NA19098 r1 A04 NA19098.r1 NA19098.r1.A04 ## 5 NA19098 r1 A05 NA19098.r1 NA19098.r1.A05 ## 6 NA19098 r1 A06 NA19098.r1 NA19098.r1.A06 reads <- SingleCellExperiment( assays = list(counts = as.matrix(reads)), colData = anno ) keep_feature <- rowSums(counts(reads) > 0) > 0 reads <- reads[keep_feature, ] isSpike(reads, "ERCC") <- grepl("^ERCC-", rownames(reads)) isSpike(reads, "MT") <- rownames(reads) %in% c("ENSG00000198899", "ENSG00000198727", "ENSG00000198888", "ENSG00000198886", "ENSG00000212907", "ENSG00000198786", "ENSG00000198695", "ENSG00000198712", "ENSG00000198804", "ENSG00000198763", "ENSG00000228253", "ENSG00000198938", "ENSG00000198840") reads <- calculateQCMetrics( reads, feature_controls = list( ERCC = isSpike(reads, "ERCC"), MT = isSpike(reads, "MT") ) ) ## Warning in calculateQCMetrics(reads, feature_controls = list(ERCC = ## isSpike(reads, : spike-in set 'ERCC' overwritten by feature_controls set of ## the same name hist( reads$total_counts, breaks = 100 ) abline(v = 1.3e6, col = "red") Figure 6.7: Histogram of library sizes for all cells filter_by_total_counts <- (reads$total_counts > 1.3e6) table(filter_by_total_counts) ## filter_by_total_counts ## FALSE TRUE ## 180 684 hist( reads$total_features_by_counts, breaks = 100 ) abline(v = 7000, col = "red") Figure 6.8: Histogram of the number of detected genes in all cells filter_by_expr_features <- (reads$total_features_by_counts > 7000) table(filter_by_expr_features) ## filter_by_expr_features ## FALSE TRUE ## 116 748 plotColData( reads, x = "total_features_by_counts", y = "pct_counts_MT", colour = "batch" ) Figure 6.9: Percentage of counts in MT genes plotColData( reads, x = "total_features_by_counts", y = "pct_counts_ERCC", colour = "batch" ) Figure 6.10: Percentage of counts in ERCCs filter_by_ERCC <- reads$batch != "NA19098.r2" & reads$pct_counts_ERCC < 25 table(filter_by_ERCC) ## filter_by_ERCC ## FALSE TRUE ## 103 761 filter_by_MT <- reads$pct_counts_MT < 30 table(filter_by_MT) ## filter_by_MT ## FALSE TRUE ## 18 846 reads$use <- ( # sufficient features (genes) filter_by_expr_features & # sufficient molecules counted filter_by_total_counts & # sufficient endogenous RNA filter_by_ERCC & # remove cells with unusual number of reads in MT genes filter_by_MT ) table(reads$use) ## ## FALSE TRUE ## 258 606 reads <- runPCA( reads, use_coldata = TRUE, detect_outliers = TRUE ) reducedDimNames(reads) ## [1] "PCA_coldata" table(reads$outlier) ## ## FALSE TRUE ## 753 111 plotReducedDim( reads, use_dimred = "PCA_coldata", size_by = "total_features_by_counts", shape_by = "use", colour_by = "outlier" ) library(limma) ## ## Attaching package: 'limma' ## The following object is masked from 'package:scater': ## ## plotMDS ## The following object is masked from 'package:BiocGenerics': ## ## plotMA auto <- colnames(reads)[reads$outlier] man <- colnames(reads)[!reads$use] venn.diag <- vennCounts( cbind(colnames(reads) %in% auto, colnames(reads) %in% man) ) vennDiagram( venn.diag, names = c("Automatic", "Manual"), circle.col = c("blue", "green") ) Figure 6.11: Comparison of the default, automatic and manual cell filters plotHighestExprs(reads, exprs_values = "counts") Figure 6.12: Number of total counts consumed by the top 50 expressed genes keep_feature <- nexprs( reads[,colData(reads)$use], byrow = TRUE, detection_limit = 1 ) >= 2 rowData(reads)$use <- keep_feature table(keep_feature) ## keep_feature ## FALSE TRUE ## 2664 16062 dim(reads[rowData(reads)$use, colData(reads)$use]) ## [1] 16062 606 assay(reads, "logcounts_raw") <- log2(counts(reads) + 1) reducedDim(reads) <- NULL saveRDS(reads, file = "data/tung/reads.rds") By comparing Figure 6.5 and Figure 6.11, it is clear that the reads based filtering removed more cells than the UMI based analysis. If you go back and compare the results you should be able to conclude that the ERCC and MT filters are more strict for the reads-based analysis. sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] limma_3.40.6 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] ggbeeswarm_0.6.0 colorspace_1.4-1 ## [3] mvoutlier_2.0.9 class_7.3-15 ## [5] modeltools_0.2-22 rio_0.5.16 ## [7] mclust_5.4.5 XVector_0.24.0 ## [9] pls_2.7-1 BiocNeighbors_1.2.0 ## [11] cvTools_0.3.2 flexmix_2.3-15 ## [13] mvtnorm_1.0-11 ranger_0.11.2 ## [15] splines_3.6.0 sROC_0.1-2 ## [17] robustbase_0.93-5 knitr_1.25 ## [19] zeallot_0.1.0 robCompositions_2.1.0 ## [21] kernlab_0.9-27 cluster_2.1.0 ## [23] rrcov_1.4-7 compiler_3.6.0 ## [25] backports_1.1.4 assertthat_0.2.1 ## [27] Matrix_1.2-17 lazyeval_0.2.2 ## [29] BiocSingular_1.0.0 htmltools_0.3.6 ## [31] tools_3.6.0 rsvd_1.0.2 ## [33] gtable_0.3.0 glue_1.3.1 ## [35] GenomeInfoDbData_1.2.1 dplyr_0.8.3 ## [37] Rcpp_1.0.2 carData_3.0-2 ## [39] cellranger_1.1.0 zCompositions_1.3.2-1 ## [41] vctrs_0.2.0 sgeostat_1.0-27 ## [43] fpc_2.2-3 DelayedMatrixStats_1.6.1 ## [45] lmtest_0.9-37 xfun_0.9 ## [47] laeken_0.5.0 stringr_1.4.0 ## [49] openxlsx_4.1.0.1 lifecycle_0.1.0 ## [51] irlba_2.3.3 DEoptimR_1.0-8 ## [53] zlibbioc_1.30.0 MASS_7.3-51.1 ## [55] zoo_1.8-6 scales_1.0.0 ## [57] VIM_4.8.0 hms_0.5.1 ## [59] RColorBrewer_1.1-2 yaml_2.2.0 ## [61] curl_4.2 NADA_1.6-1 ## [63] gridExtra_2.3 reshape_0.8.8 ## [65] stringi_1.4.3 highr_0.8 ## [67] pcaPP_1.9-73 e1071_1.7-2 ## [69] boot_1.3-20 zip_2.0.4 ## [71] truncnorm_1.0-8 rlang_0.4.0 ## [73] pkgconfig_2.0.3 prabclus_2.3-1 ## [75] bitops_1.0-6 evaluate_0.14 ## [77] lattice_0.20-38 purrr_0.3.2 ## [79] labeling_0.3 cowplot_1.0.0 ## [81] tidyselect_0.2.5 GGally_1.4.0 ## [83] plyr_1.8.4 magrittr_1.5 ## [85] bookdown_0.13 R6_2.4.0 ## [87] pillar_1.4.2 haven_2.1.1 ## [89] foreign_0.8-70 withr_2.1.2 ## [91] survival_2.43-3 abind_1.4-5 ## [93] RCurl_1.95-4.12 sp_1.3-1 ## [95] nnet_7.3-12 tibble_2.1.3 ## [97] crayon_1.3.4 car_3.0-3 ## [99] rmarkdown_1.15 viridis_0.5.1 ## [101] grid_3.6.0 readxl_1.3.1 ## [103] data.table_1.12.2 forcats_0.4.0 ## [105] diptest_0.75-7 vcd_1.4-4 ## [107] digest_0.6.21 tidyr_1.0.0 ## [109] munsell_0.5.0 beeswarm_0.2.3 ## [111] viridisLite_0.3.0 vipor_0.4.5 6.6 Data visualization and exploratory data analysis 6.6.1 Introduction In this chapter we will continue to work with the filtered Tung dataset produced in the previous chapter. We will explore different ways of visualizing the data to allow you to asses what happened to the expression matrix after the quality control step. scater package provides several very useful functions to simplify visualisation. One important aspect of single-cell RNA-seq is to control for batch effects. Batch effects are technical artefacts that are added to the samples during handling. For example, if two sets of samples were prepared in different labs or even on different days in the same lab, then we may observe greater similarities between the samples that were handled together. In the worst case scenario, batch effects may be mistaken for true biological variation. Data visualisation can help to identify batch effects or other unwanted sources of variation that affect our observed gene expression measurements. The Tung data allows us to explore these issues in a controlled manner since some of the salient aspects of how the samples were handled have been recorded. Ideally, we expect to see batches from the same individual grouping together and distinct groups corresponding to each individual. Data visualisation and exploratory data analysis are invaluable for allowing us to get a “feel†for a dataset. This is an area of data analysis that is perhaps more art than science, but is a crucial aspect of single-cell QC and analysis. library(SingleCellExperiment) library(scater) options(stringsAsFactors = FALSE) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control 6.6.2 PCA plot The easiest way to overview the data is by transforming it using the principal component analysis and then visualize the first two principal components. Principal component analysis (PCA) is a statistical procedure that uses a transformation to convert a set of observations into a set of values of linearly uncorrelated variables called principal components (PCs). The number of principal components is less than or equal to the number of original variables. Mathematically, the PCs correspond to the eigenvectors of the covariance matrix. The eigenvectors are sorted by eigenvalue so that the first principal component accounts for as much of the variability in the data as possible, and each succeeding component in turn has the highest variance possible under the constraint that it is orthogonal to the preceding components (the figure below is taken from here). Figure 6.13: Schematic representation of PCA dimensionality reduction 6.6.2.1 Before QC Without log-transformation: tmp <- runPCA( umi[endog_genes, ], exprs_values = "counts" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.14: PCA plot of the tung data With log-transformation: tmp <- runPCA( umi[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.15: PCA plot of the tung data Clearly log-transformation is benefitial for our data - it reduces the variance on the first principal component and already separates some biological effects. Moreover, it makes the distribution of the expression values more normal. In the following analysis and chapters we will be using log-transformed raw counts by default. However, note that just a log-transformation is not enough to account for different technical factors between the cells (e.g. sequencing depth). Therefore, please do not use logcounts_raw for your downstream analysis, instead as a minimum suitable data use the logcounts slot of the SingleCellExperiment object, which not just log-transformed, but also normalised by library size (e.g. CPM normalisation). In the course we use logcounts_raw only for demonstration purposes! 6.6.2.2 After QC tmp <- runPCA( umi.qc[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.16: PCA plot of the tung data Comparing Figure 6.15 and Figure 6.16, it is clear that after quality control the NA19098.r2 cells no longer form a group of outliers. By default only the top 500 most variable genes are used by scater to calculate the PCA. This can be adjusted by changing the ntop argument. Exercise 1 How do the PCA plots change if when all 14,066 genes are used? Or when only top 50 genes are used? Why does the fraction of variance accounted for by the first PC change so dramatically? Hint Use ntop argument of the plotPCA function. Our answer Figure 6.17: PCA plot of the tung data (14214 genes) Figure 6.18: PCA plot of the tung data (50 genes) If your answers are different please compare your code with ours (you need to search for this exercise in the opened file). 6.6.3 tSNE map An alternative to PCA for visualizing scRNA-seq data is a tSNE plot. tSNE (t-Distributed Stochastic Neighbor Embedding) converts high-dimensional Euclidean distances between datapoints into conditional probabilities that represent similarities, to produce a low-dimensional representation of high-dimensional data that displays large- and local-scale structure in the dataset. Here, we map high dimensional data ( i.e. our 14,214 dimensional expression matrix) to a 2-dimensional space while preserving local distances between cells. tSNE is almost always used to produce a two-dimensional representation of a high-dimensional dataset; it is only rarely used to generate a reduced-dimension space with more than two dimensions and is typically used only for visulisation as opposed being used as a general dimension-reduction method. Due to the non-linear and stochastic nature of the algorithm, tSNE is more difficult to intuitively interpret than a standard dimensionality reduction method such as PCA. Things to be aware of when using tSNE: tSNE has a tendency to (visually) cluster points; as such, it often creates attractive plots of datasets with distinct cell types, but does look as good when there are continuous changes in the cell population. The hyperparameters really matter: in particular, changing the perplexity parameter can have a large effect on the visulisation produced. Perplexity is a measure of information, but can loosely be thought of as a tuning parameter that controls the number of nearest neighbous for each datapoint. Cluster sizes in a tSNE plot mean nothing. Distances between clusters might not mean anything. Random noise doesn’t always look random. You can see some shapes, sometimes. For more details about how to use tSNE effectively, see this exellent article. In contrast with PCA, tSNE is a stochastic algorithm which means running the method multiple times on the same dataset will result in different plots. To ensure reproducibility, we fix the “seed†of the random-number generator in the code below so that we always get the same plot. 6.6.3.1 Before QC set.seed(123456) tmp <- runTSNE( umi[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.19: tSNE map of the tung data 6.6.3.2 After QC set.seed(123456) tmp <- runTSNE( umi.qc[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.20: tSNE map of the tung data Interpreting PCA and tSNE plots is often challenging and due to their stochastic and non-linear nature, they are less intuitive. However, in this case it is clear that they provide a similar picture of the data. Comparing Figure 6.19 and 6.20, it is again clear that the samples from NA19098.r2 are no longer outliers after the QC filtering. Furthermore tSNE requires you to provide a value of perplexity which reflects the number of neighbours used to build the nearest-neighbour network; a high value creates a dense network which clumps cells together while a low value makes the network more sparse allowing groups of cells to separate from each other. scater uses a default perplexity of the total number of cells divided by five (rounded down). You can read more about the pitfalls of using tSNE here. UMAP (Uniform Manifold Approximation and Projection) is a newer alternative to tSNE which also often creates attractive visualisations of scRNA-seq data with the benefit of being faster than tSNE to compute and is a “true†dimensionality reduction method. We will look at PCA, tSNE and UMAP plots in subsequent chapters and discuss the topic of dimensionality reduction further in the Latent spaces chapter. Exercise 2 How do the tSNE plots change when a perplexity of 10 or 200 is used? How does the choice of perplexity affect the interpretation of the results? Our answer Figure 6.21: tSNE map of the tung data (perplexity = 10) Figure 6.22: tSNE map of the tung data (perplexity = 200) 6.6.4 Big Exercise Perform the same analysis with read counts of the Blischak data. Use tung/reads.rds file to load the reads SCE object. Once you have finished please compare your results to ours (next chapter). 6.6.5 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scater_1.12.2 ggplot2_3.2.1 ## [3] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [5] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [7] matrixStats_0.55.0 Biobase_2.44.0 ## [9] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0 ## [11] IRanges_2.18.3 S4Vectors_0.22.1 ## [13] BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] Rcpp_1.0.2 rsvd_1.0.2 ## [3] lattice_0.20-38 assertthat_0.2.1 ## [5] digest_0.6.21 R6_2.4.0 ## [7] evaluate_0.14 highr_0.8 ## [9] pillar_1.4.2 zlibbioc_1.30.0 ## [11] rlang_0.4.0 lazyeval_0.2.2 ## [13] irlba_2.3.3 Matrix_1.2-17 ## [15] rmarkdown_1.15 BiocNeighbors_1.2.0 ## [17] labeling_0.3 Rtsne_0.15 ## [19] stringr_1.4.0 RCurl_1.95-4.12 ## [21] munsell_0.5.0 compiler_3.6.0 ## [23] vipor_0.4.5 BiocSingular_1.0.0 ## [25] xfun_0.9 pkgconfig_2.0.3 ## [27] ggbeeswarm_0.6.0 htmltools_0.3.6 ## [29] tidyselect_0.2.5 tibble_2.1.3 ## [31] gridExtra_2.3 GenomeInfoDbData_1.2.1 ## [33] bookdown_0.13 viridisLite_0.3.0 ## [35] crayon_1.3.4 dplyr_0.8.3 ## [37] withr_2.1.2 bitops_1.0-6 ## [39] grid_3.6.0 gtable_0.3.0 ## [41] magrittr_1.5 scales_1.0.0 ## [43] stringi_1.4.3 XVector_0.24.0 ## [45] viridis_0.5.1 DelayedMatrixStats_1.6.1 ## [47] cowplot_1.0.0 tools_3.6.0 ## [49] glue_1.3.1 beeswarm_0.2.3 ## [51] purrr_0.3.2 yaml_2.2.0 ## [53] colorspace_1.4-1 knitr_1.25 6.7 Exercise: Data visualization (Reads) library(scater) options(stringsAsFactors = FALSE) reads <- readRDS("data/tung/reads.rds") reads.qc <- reads[rowData(reads)$use, colData(reads)$use] endog_genes <- !rowData(reads.qc)$is_feature_control tmp <- runPCA( reads[endog_genes, ], exprs_values = "counts" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.23: PCA plot of the tung data tmp <- runPCA( reads[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.24: PCA plot of the tung data tmp <- runPCA( reads.qc[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.25: PCA plot of the tung data set.seed(123456) tmp <- runTSNE( reads[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.26: tSNE map of the tung data set.seed(123456) tmp <- runTSNE( reads.qc[endog_genes, ], exprs_values = "logcounts_raw", perplexity = 130 ) plotTSNE( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Figure 6.27: tSNE map of the tung data Figure 6.21: tSNE map of the tung data (perplexity = 10) Figure 6.22: tSNE map of the tung data (perplexity = 200) sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scater_1.12.2 ggplot2_3.2.1 ## [3] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [5] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [7] matrixStats_0.55.0 Biobase_2.44.0 ## [9] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0 ## [11] IRanges_2.18.3 S4Vectors_0.22.1 ## [13] BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] Rcpp_1.0.2 rsvd_1.0.2 ## [3] lattice_0.20-38 assertthat_0.2.1 ## [5] digest_0.6.21 R6_2.4.0 ## [7] evaluate_0.14 highr_0.8 ## [9] pillar_1.4.2 zlibbioc_1.30.0 ## [11] rlang_0.4.0 lazyeval_0.2.2 ## [13] irlba_2.3.3 Matrix_1.2-17 ## [15] rmarkdown_1.15 BiocNeighbors_1.2.0 ## [17] labeling_0.3 Rtsne_0.15 ## [19] stringr_1.4.0 RCurl_1.95-4.12 ## [21] munsell_0.5.0 compiler_3.6.0 ## [23] vipor_0.4.5 BiocSingular_1.0.0 ## [25] xfun_0.9 pkgconfig_2.0.3 ## [27] ggbeeswarm_0.6.0 htmltools_0.3.6 ## [29] tidyselect_0.2.5 tibble_2.1.3 ## [31] gridExtra_2.3 GenomeInfoDbData_1.2.1 ## [33] bookdown_0.13 viridisLite_0.3.0 ## [35] crayon_1.3.4 dplyr_0.8.3 ## [37] withr_2.1.2 bitops_1.0-6 ## [39] grid_3.6.0 gtable_0.3.0 ## [41] magrittr_1.5 scales_1.0.0 ## [43] stringi_1.4.3 XVector_0.24.0 ## [45] viridis_0.5.1 DelayedMatrixStats_1.6.1 ## [47] cowplot_1.0.0 tools_3.6.0 ## [49] glue_1.3.1 beeswarm_0.2.3 ## [51] purrr_0.3.2 yaml_2.2.0 ## [53] colorspace_1.4-1 knitr_1.25 References "],
+["normalization-confounders-and-batch-correction.html", "7 Normalization, confounders and batch correction 7.1 Normalization theory 7.2 Normalization practice (UMI) 7.3 Normalization practice (Reads) 7.4 Identifying confounding factors 7.5 Identifying confounding factors (Reads) 7.6 Batch effects 7.7 Dealing with confounders (Reads) 7.8 Feature Selection", " 7 Normalization, confounders and batch correction 7.1 Normalization theory 7.1.1 Introduction In this chapter, we will explore approaches to normalization, confounder identification and batch correction for scRNA-seq data. Even in the absence of specific confounding factors, thoughtful normalization of scRNA-seq data is required. The raw count values are not directly comparable between cells, because in general the sequencing depth (number of reads obtained; often called library size) is very different across cells—orders-of-magnitude differences in sequencing depth are commonly observed between cells in an scRNA-seq dataset. If ignored, or not handled correctly, library size differences can be the dominant source of variation between single-cell gene expression profiles, obscuring the biological signal of interest. n Related to library size, differences in library composition can also cause problems when we are trying to compare expression profiles between cells. Normalization can and should also account for differences in library composition. In addition to normalization, it is also useful to identify confounding factors so that they can be accounted for in downstream analyses. In many cases, “accounting†for confounding variables may involve incorporating them as variables in a particular statistical model (e.g. in a differential expression model). In other cases, it may be desirable to “regress out†(either in a literal or figurative sense) confounding factors—the challenge for scRNA-seq data is finding the right model and/or data transformation such that regressing out confounding factors would work as desired. We discuss this further below. The issue of batch effects is just as important for scRNA-seq data as it is in other areas of genomics. Briefly, scRNA-seq and other ’omics assays are sensitive to minor differences in technical features of data generation. As such, even when assaying the same experimental or biological system, measurements taken at difference times and places or by different people will differ substantially. To make valid comparisons between cells, samples or groups, we first need to design our studies to be robust to batch effects and then we need to treat batch effects appropriately in our analyses. In the following sections, we will explore simple size-factor normalizations correcting for library size and composition and also discuss a more recent, conceptually quite different, approach to tackling the problem of library size differences between cells. 7.1.2 Library size Library sizes vary because scRNA-seq data is often sequenced on highly multiplexed platforms the total reads which are derived from each cell may differ substantially. Most scRNA-seq platforms and/or quantification methods currently available produce count values as the “rawâ€, “observedâ€, gene expression values. For such count data, the library size must be corrected for as part of data normalization. One popular strategy, borrowed and extended from the analysis of bulk RNA-seq data, is to multiply or divide each column of the expression matrix (in our setup columns correspond to cells) by a “normalization factor†which is an estimate of the library size relative to the other cells. Many methods to correct for library size have been developed for bulk RNA-seq and can be equally applied to scRNA-seq (eg. UQ, SF, CPM, RPKM, FPKM, TPM). In addition, single-cell specific size-factor normalization methods have been proposed to better handle the characteristics of scRNA-seq data (namely greater sparsity/proportion of zero counts). We will demonstrate use of the size-factor normalization method from the scran package in this chapter. A conceptually different approach to normalization of scRNA-seq data was proposed earlier in 2019 by (Hafemeister and Satija 2019). The idea behind the sctransform approach is to fit a regularized negative binomial model to the raw count data, with library size as the only explanatory variable in the model. The residuals from this model can then be used as normalized and variance-stabilized expression values. We show the use of this method too in this chapter. Some quantification methods (particularly those that quantify transcript-level expression, e.g. Salmon, kallisto) return transcripts-per-million values, TPM (instead of or in addition to count values), which effectively incorporate library size when determining gene expression estimates and thus do not require subsequent normalization for library size. However, TPM values may still be susceptible to library composition biases and so normalization may still be required. 7.1.3 Scaling or size-factor normalization methods The normalization methods discussed in this section all involve dividing the counts for each cell by a constant value to account for library size and, in some cases, library composition. These methods will typically give (adjusted/normalized) counts-per-million (CPM) or transcripts-per-million (TPM) values. Ideally, after applying one of these scaling/size-factor normalization methods, the CPM/TPM values produced are comparable across cells, with the effects of sequencing depth removed. However, even if this is true (i.e. the normalization has worked well), the CPM/TPM values do not have stable variance. Specifically, as the size of the values increases, so does the variance. This feature of the data (heteroskedacity, or asymmetric, heavy-tailed distributions) is problematic for statistical analysis methods that assume homoskedacity, that is that there is no relationship between the mean of expression values and their variance (i.e. just about anything that uses a Gaussian error model). As such, we should apply a variance stabilizing transformation to these data so that we can use standard statistical methods like linear regression and PCA with confidence. Developing a thoroughly effective variance stabilizing transformation is a challenge, so almost universally a log transformation (typically log2) is applied to the CPM/TPM values (the logcounts slot in a SingleCellExperiment object is expected to contain (normalized) log2-scale CPM/TPM values). For high-depth cells and highly-expressed genes this transformation generally works well (as for bulk RNA-seq data), but, as we will discuss below, it often performs sub-optimally for (sparse) scRNA-seq data. 7.1.3.1 CPM The simplest way to normalize this data is to convert it to counts per million (CPM) by dividing each column by its total then multiplying by 1,000,000. Note that spike-ins should be excluded from the calculation of total expression in order to correct for total cell RNA content, therefore we will only use endogenous genes. Example of a CPM function in R (using the scater package): calc_cpm <- function (expr_mat, spikes = NULL) { norm_factor <- colSums(expr_mat[-spikes, ]) return(t(t(expr_mat)/norm_factor)) * 10^6 } One potential drawback of CPM is if your sample contains genes that are both very highly expressed and differentially expressed across the cells. In this case, the total molecules in the cell may depend of whether such genes are on/off in the cell and normalizing by total molecules may hide the differential expression of those genes and/or falsely create differential expression for the remaining genes. Note RPKM, FPKM and TPM are variants on CPM which further adjust counts by the length of the respective gene/transcript. TPM is usually a direct output of a transcript expression quantification method (e.g. Salmon, kallisto, etc). To deal with this potentiality several other measures were devised. 7.1.3.2 RLE (SF) The size factor (SF) was proposed and popularized by DESeq (Anders and Huber 2010). First the geometric mean of each gene across all cells is calculated. The size factor for each cell is the median across genes of the ratio of the expression to the gene’s geometric mean. A drawback to this method is that since it uses the geometric mean only genes with non-zero expression values across all cells can be used in its calculation, making it unadvisable for large low-depth scRNASeq experiments. edgeR & scater call this method RLE for “relative log expression†(to distinguish it from the many other size-factor normalization methods that now exist). Example of a SF function in R (from the edgeR package): calc_sf <- function (expr_mat, spikes = NULL) { geomeans <- exp(rowMeans(log(expr_mat[-spikes, ]))) SF <- function(cnts) { median((cnts/geomeans)[(is.finite(geomeans) & geomeans > 0)]) } norm_factor <- apply(expr_mat[-spikes, ], 2, SF) return(t(t(expr_mat)/norm_factor)) } 7.1.3.3 UQ The upperquartile (UQ) was proposed by (Bullard et al. 2010). Here each column is divided by the 75% quantile of the counts for each library. Often the calculated quantile is scaled by the median across cells to keep the absolute level of expression relatively consistent. A drawback to this method is that for low-depth scRNASeq experiments the large number of undetected genes may result in the 75% quantile being zero (or close to it). This limitation can be overcome by generalizing the idea and using a higher quantile (eg. the 99% quantile is the default in scater) or by excluding zeros prior to calculating the 75% quantile. Example of a UQ function in R (again from the edgeR package): calc_uq <- function (expr_mat, spikes = NULL) { UQ <- function(x) { quantile(x[x > 0], 0.75) } uq <- unlist(apply(expr_mat[-spikes, ], 2, UQ)) norm_factor <- uq/median(uq) return(t(t(expr_mat)/norm_factor)) } 7.1.3.4 TMM Another method is called TMM is the weighted trimmed mean of M-values (to the reference) proposed by (Robinson and Oshlack 2010). The M-values in question are the gene-wise log2-fold changes between individual cells. One cell is used as the reference then the M-values for each other cell is calculated compared to this reference. These values are then trimmed by removing the top and bottom ~30%, and the average of the remaining values is calculated by weighting them to account for the effect of the log scale on variance. Each non-reference cell is multiplied by the calculated factor. Two potential issues with this method are insufficient non-zero genes left after trimming, and the assumption that most genes are not differentially expressed. sizeFactors(umi.qc) <- edgeR::calcNormFactors(counts(umi.qc), method = "TMM") 7.1.3.5 scran scran package implements a variant on CPM size-factor normalization specialized for single-cell data (L. Lun, Bach, and Marioni 2016). Briefly this method deals with the problem of vary large numbers of zero values per cell by pooling cells together calculating a normalization factor (similar to TMM) for the sum of each pool. Since each cell is found in many different pools, cell-specific factors can be deconvoluted from the collection of pool-specific factors using linear algebra. This method applies a “quick cluster†method to get rough clusters of cells to pool together to apply the strategy outlined above. qclust <- quickCluster(umi.qc, min.size = 30) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) 7.1.4 sctransform The sctransform method is very different from the scaling/size-factor methods discussed above. In their paper, (Hafemeister and Satija 2019) argue that the log-transformation of (normalized) CPM values does not stabilise the variance of expression values, particularly in the case of sparse(r) UMI-count data. Figure 1 of their paper (reproduced below) sets out this argument that strong relationships exist between gene expression and total cell UMI count, even after applying a scaled log-normalization method. Figure 2.4: Reproduction of Figure 1 from Hafemeister and Satija (2019). 33,148 PBMC dataset from 10x genomics. A) Distribution of total UMI counts / cell (’sequencing depth’). B) We placed genesinto six groups, based on their average expression in the dataset. C) For each gene group, we examined the average relationship between observed counts and cell sequencing depth. We fit a smooth line for each gene individually and combined results based on the groupings in (B). Black line shows mean, colored region indicates interquartile range. D) Same as in (C), but showing scaled log-normalized values instead of UMI counts. Values were scaled (z-scored) so that a single y-axis range could be used. E) Relationship between gene variance and cell sequencing depth; Cells were placed into five equal-sized groups based on total UMI counts (group 1 has the greatest depth), and we calculated the total variance of each gene group within each bin. For effectively normalized data, each cell bin should contribute 20% to the variance of each gene group. One effect of the failure of the scaled log-normalization to remove the relationship between total cell UMI count and expression is that dimension-reduction methods (especially PCA) applied to the log-normalized data can return reduced dimension spaces where, very often, the first dimension is highly correlated with total cell UMI count to total cell genes expressed. This effect is noted and discussed by (William Townes et al. 2019). The sctransform solution is to fit a negative binomial (NB) generalized linear model to the UMI counts for each gene, with an intercept term and a coefficient for library size (specifically using log10(total cell UMI count) as a covariate) as parameters in the model. The negative binomial model can account for much more variance in the observed count data than a simpler model like the Poisson can. To avoid overfitting the model to the data, the gene-wise intercept, library size and overdispersion parameters are regularized by fitting a loess (locally-linear smoothing method) to the per-gene estimates from the GLM. Figure 2.5: Reproduction of Figure 2A from Hafemeister and Satija (2019). They fit NB regression models for each gene individually, and bootstrapped the process to measure uncertainty in the resulting parameter estimates. A) Model parameters for 16,809 genes for the NB regression model, plotted as a function of average gene abundance. The color of each point indicates a parameter uncertainty score as determined by bootstrapping (Methods). Pink line shows the regularized parameters obtained via kernel regression. The regularized NB GLM is presented as an attractive middle ground between the (underfit) Poisson model and the (overfit) unregularized NB model. The Pearson residuals from the regularized NB GLM are used as “normalized†expression values for downstream analyses. Figure 2.6: Reproduction of Figure 4 from Hafemeister and Satija (2019). A) For four genes, we show the relationship between cell sequencing depth and molecular counts. White points show the observed data. Background color represents the Pearson residual magnitude under three error models. For MALAT1 (does not vary across cell types) the Poisson error model does not account for overdispersion, and incorrectly infers significant residual variation (biological heterogeneity). For S100A9 (a CD14+ Monocyte marker) and CD74 (expressed in antigen-presenting cells) the non-regularized NB model overfits the data, and collapses biological heterogeneity. For PPBP (a Megakaryocyte marker) both non-regularized models wrongly fit a negative slope. B) Boxplot of Pearson residuals for models shown in A. X-axis range shown is limited to [-8, 25] for visual clarity. The regularized NB GLM also provides a natural way to do feature selection ( i.e. find informative genes) using the deviance of the fitted GLM for each gene. We discuss this further in the Feature Selection section. We find the Pearson residuals from sctransform to be highly suitable as input to visualisation (dimension reduction) and clustering methods. For several other analyses (e.g. differential expression analyses), where statistical models designed for sparse count data are available, we prefer to use approaches that work with the “raw†count data. We are not yet sure how well sctransform performs on full-length transcript (i.e. non-UMI) count data. 7.1.5 Downsampling A final way to correct for library size is to downsample the expression matrix so that each cell has approximately the same total number of molecules. The benefit of this method is that zero values will be introduced by the down sampling thus eliminating any biases due to differing numbers of detected genes. However, the major drawback is that the process is not deterministic so each time the downsampling is run the resulting expression matrix is slightly different. Thus, often analyses must be run on multiple downsamplings to ensure results are robust. Downsampling to the depth of the cell with the lowest sequencing depth (that still passes QC) will typically discard much (most) of the information gathered in a (typically expensive) scRNA-seq experiment. We view this as a heavy price to pay for a normalization method that generally does not seem to outperform alternatives. Thus, we would not recommend downsampling as a normalization strategy for scRNA-seq data unless all alternatives have failed. 7.1.6 Effectiveness To compare the efficiency of different normalization methods we will use visual inspection of PCA plots and calculation of cell-wise relative log expression via scater’s plotRLE() function. Namely, cells with many (few) reads have higher (lower) than median expression for most genes resulting in a positive (negative) RLE across the cell, whereas normalized cells have an RLE close to zero. Example of a RLE function in R: calc_cell_RLE <- function (expr_mat, spikes = NULL) { RLE_gene <- function(x) { if (median(unlist(x)) > 0) { log((x + 1)/(median(unlist(x)) + 1))/log(2) } else { rep(NA, times = length(x)) } } if (!is.null(spikes)) { RLE_matrix <- t(apply(expr_mat[-spikes, ], 1, RLE_gene)) } else { RLE_matrix <- t(apply(expr_mat, 1, RLE_gene)) } cell_RLE <- apply(RLE_matrix, 2, median, na.rm = T) return(cell_RLE) } Note The RLE, TMM, and UQ size-factor methods were developed for bulk RNA-seq data and, depending on the experimental context, may not be appropriate for single-cell RNA-seq data, as their underlying assumptions may be problematically violated. Note The calcNormFactors function from the edgeR package implements several library size normalization methods making it easy to apply any of these methods to our data. Note edgeR makes extra adjustments to some of the normalization methods which may result in somewhat different results than if the original methods are followed exactly, e.g. edgeR’s and scater’s “RLE†method which is based on the “size factor†used by DESeq may give different results to the estimateSizeFactorsForMatrix method in the DESeq/DESeq2 packages. In addition, some (earlier) versions of edgeR will not calculate the normalization factors correctly unless lib.size is set at 1 for all cells. Note For CPM normalisation we use scater’s calculateCPM() function. For RLE, UQ and TMM we used to use scater’s normaliseExprs() function, but it was deprecated and has been removed from the package). For scran we use the scran package to calculate size factors (it also operates on SingleCellExperiment class) and scater’s normalize() to normalise the data. All these normalization functions save the results to the logcounts slot of the SCE object. 7.2 Normalization practice (UMI) We will continue to work with the tung data that was used in the previous chapter. library(scRNA.seq.funcs) library(scater) library(scran) options(stringsAsFactors = FALSE) set.seed(1234567) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control 7.2.1 Raw tmp <- runPCA( umi.qc[endog_genes, ], exprs_values = "logcounts_raw" ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: raw log-counts") Figure 7.1: PCA plot of the tung data 7.2.2 CPM logcounts(umi.qc) <- log2(calculateCPM(umi.qc, use_size_factors = FALSE) + 1) plotPCA( umi.qc[endog_genes, ], colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: log2(CPM) values") Figure 7.2: PCA plot of the tung data after CPM normalisation plotRLE( umi.qc[endog_genes, ], exprs_values = "logcounts_raw", colour_by = "batch" ) + ggtitle("RLE plot: raw log-counts") Figure 7.3: Cell-wise RLE of the tung data. The relative log expression profile of each cell is represented by a boxplot, which appears as a line here. The grey bar in the middle for each cell represent the interquartile range of the RLE values; the coloured lines represent the whiskers ofof a boxplot and extend above and below the grey bar by 1.5 times the interquartile range. The median RLE value is shown with a circle. plotRLE( umi.qc[endog_genes, ], exprs_values = "logcounts", colour_by = "batch" ) + ggtitle("RLE plot: log2(CPM)") Figure 7.4: Cell-wise RLE of the tung data. The relative log expression profile of each cell is represented by a boxplot, which appears as a line here. The grey bar in the middle for each cell represent the interquartile range of the RLE values; the coloured lines represent the whiskers ofof a boxplot and extend above and below the grey bar by 1.5 times the interquartile range. The median RLE value is shown with a circle. Q: How well would you say the two approaches above normalize the data? 7.2.3 scran scran’s method for size-factor estimation will almost always be preferable for scRNA-seq data to methods that were developed for bulk RNA-seq data (TMM, RLE, UQ). Thus, we will just demonstrate the use of scran size-factor normalization here as representative of size-factor normalization more generally. The code below computes the size factors and then the normalize() function in scater applies those size factors along with the library sizes to the count matrix to produce normalized log2-counts-per-million values that are then stored in the logcounts slot of the SingleCellExperiment object. qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) umi.qc <- normalize(umi.qc) plotPCA( umi.qc[endog_genes, ], colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: scran size-factor normalization") Figure 7.5: PCA plot of the tung data after LSF normalisation plotRLE( umi.qc[endog_genes, ], exprs_values = "logcounts", colour_by = "batch" ) + ggtitle("RLE plot: scran size-factor normalization") Figure 7.6: Cell-wise RLE of the tung data scran sometimes calculates negative or zero size factors. These will completely distort the normalized expression matrix. We can check the size factors scran has computed like so: summary(sizeFactors(umi.qc)) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.4836 0.7747 0.9532 1.0000 1.1483 3.2873 For this dataset all the size factors are reasonable so we are done. If you find scran has calculated negative size factors try increasing the cluster and pool sizes until they are all positive. We sometimes filter out cells with very large size-factors (you may like to think about why), but we will not demonstrate that here. 7.2.4 sctransform The sctransform approach to using Pearson residuals from an regularized negative binomial generalized linear model was introduced above. Here we demonstrate how to apply this method. Note that (due to what looks like a bug in this version of sctransform) we need to convert the UMI count matrix to a sparse format to apply sctransform. umi_sparse <- as(counts(umi.qc), "dgCMatrix") ### Genes expressed in at least 5 cells will be kept sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1, cell_attr = as.data.frame(colData(umi.qc)), latent_var = "log10_total_counts_endogenous") ## Pearson residuals, or deviance residuals dim(sctnorm_data$y) ## [1] 14066 657 dim(umi.qc) ## [1] 14066 657 sctnorm_data$model_str ## [1] "y ~ log10_total_counts_endogenous" assay(umi.qc, "sctrans_norm") <- sctnorm_data$y Let us look at the NB GLM model parameters estimated by sctransform. #sce$log10_total_counts ## Matrix of estimated model parameters per gene (theta and regression coefficients) sctransform::plot_model_pars(sctnorm_data) We can look at the effect of sctransform’s normalization on three particular genes, ACTB, POU5F1 (aka OCT4) and CD74. ##c('ACTB', 'Rpl10', 'Cd74') genes_plot <- c("ENSG00000075624", "ENSG00000204531", "ENSG00000019582") sctransform::plot_model(sctnorm_data, umi_sparse, genes_plot, plot_residual = TRUE, cell_attr = as.data.frame(colData(umi.qc))) reducedDim(umi.qc, "PCA_sctrans_norm") <- reducedDim( runPCA(umi.qc[endog_genes, ], exprs_values = "sctrans_norm") ) plotReducedDim( umi.qc, use_dimred = "PCA_sctrans_norm", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: sctransform normalization") Figure 7.7: PCA plot of the tung data after sctransform normalisation (Pearson residuals). plotRLE( umi.qc[endog_genes, ], exprs_values = "sctrans_norm", colour_by = "batch" ) + ggtitle("RLE plot: sctransform normalization") Figure 7.8: Cell-wise RLE of the tung data 7.2.5 Normalisation for gene/transcript length Some methods combine library size and fragment/gene length normalization such as: RPKM - Reads Per Kilobase Million (for single-end sequencing) FPKM - Fragments Per Kilobase Million (same as RPKM but for paired-end sequencing, makes sure that paired ends mapped to the same fragment are not counted twice) TPM - Transcripts Per Kilobase Million (same as RPKM, but the order of normalizations is reversed - length first and sequencing depth second) These methods are not applicable to our dataset since the end of the transcript which contains the UMI was preferentially sequenced. Furthermore in general these should only be calculated using appropriate quantification software from aligned BAM files not from read counts since often only a portion of the entire gene/transcript is sequenced, not the entire length. If in doubt check for a relationship between gene/transcript length and expression level. However, here we show how these normalisations can be calculated using scater. First, we need to find the effective transcript length in Kilobases. However, our dataset containes only gene IDs, therefore we will be using the gene lengths instead of transcripts. scater uses the biomaRt package, which allows one to annotate genes by other attributes: umi.qc <- getBMFeatureAnnos( umi.qc, filters = "ensembl_gene_id", attributes = c( "ensembl_gene_id", "hgnc_symbol", "chromosome_name", "start_position", "end_position" ), biomart = "ENSEMBL_MART_ENSEMBL", dataset = "hsapiens_gene_ensembl", host = "www.ensembl.org" ) # If you have mouse data, change the arguments based on this example: # getBMFeatureAnnos( # object, # filters = "ensembl_transcript_id", # attributes = c( # "ensembl_transcript_id", # "ensembl_gene_id", # "mgi_symbol", # "chromosome_name", # "transcript_biotype", # "transcript_start", # "transcript_end", # "transcript_count" # ), # biomart = "ENSEMBL_MART_ENSEMBL", # dataset = "mmusculus_gene_ensembl", # host = "www.ensembl.org" # ) Some of the genes were not annotated, therefore we filter them out: umi.qc.ann <- umi.qc[!is.na(rowData(umi.qc)$ensembl_gene_id), ] Now we compute the total gene length in Kilobases by using the end_position and start_position fields: eff_length <- abs(rowData(umi.qc.ann)$end_position - rowData(umi.qc.ann)$start_position) / 1000 plot(eff_length, rowMeans(counts(umi.qc.ann))) There is no relationship between gene length and mean expression so __FPKM__s & __TPM__s are inappropriate for this dataset. This is what we would expect for UMI protocols that tag one end of the transcript. But we will demonstrate them anyway. Note Here calculate the total gene length instead of the total exon length. Many genes will contain lots of introns so their eff_length will be very different from what we have calculated. Please consider our calculation as approximation. If you want to use the total exon lengths, please refer to this page. Now we are ready to perform the normalisations: tpm(umi.qc.ann) <- log2(calculateTPM(umi.qc.ann, eff_length) + 1) Plot the results as a PCA plot: tmp <- runPCA( umi.qc.ann, exprs_values = "tpm", ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) tpm(umi.qc.ann) <- log2(calculateFPKM(umi.qc.ann, eff_length) + 1) tmp <- runPCA( umi.qc.ann, exprs_values = "tpm", ) plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) Note The PCA looks for differences between cells. Gene length is the same across cells for each gene thus FPKM is almost identical to the CPM plot (it is just rotated) since it performs CPM first then normalizes gene length. Whereas, TPM is different because it weights genes by their length before performing __CPM_**. 7.2.6 Reflection Q: What is your assessment of the performance of these different normalization methods on the data presented here? Q: Which normalization method would you prefer for this dataset? Why? 7.2.7 Exercise Perform the same analysis with read counts of the tung data. Use tung/reads.rds file to load the reads SCE object. Once you have finished please compare your results to ours (next chapter). 7.2.8 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] viridis_0.5.1 dynamicTreeCut_1.63-1 ## [3] edgeR_3.26.8 BiocSingular_1.0.0 ## [5] viridisLite_0.3.0 DelayedMatrixStats_1.6.1 ## [7] elliptic_1.4-0 moments_0.14 ## [9] assertthat_0.2.1 statmod_1.4.32 ## [11] highr_0.8 dqrng_0.2.1 ## [13] GenomeInfoDbData_1.2.1 vipor_0.4.5 ## [15] yaml_2.2.0 globals_0.12.4 ## [17] pillar_1.4.2 lattice_0.20-38 ## [19] glue_1.3.1 limma_3.40.6 ## [21] digest_0.6.21 XVector_0.24.0 ## [23] colorspace_1.4-1 plyr_1.8.4 ## [25] cowplot_1.0.0 htmltools_0.3.6 ## [27] Matrix_1.2-17 pkgconfig_2.0.3 ## [29] listenv_0.7.0 bookdown_0.13 ## [31] zlibbioc_1.30.0 purrr_0.3.2 ## [33] scales_1.0.0 Rtsne_0.15 ## [35] tibble_2.1.3 withr_2.1.2 ## [37] lazyeval_0.2.2 magrittr_1.5 ## [39] crayon_1.3.4 evaluate_0.14 ## [41] future_1.14.0 MASS_7.3-51.1 ## [43] beeswarm_0.2.3 tools_3.6.0 ## [45] stringr_1.4.0 locfit_1.5-9.1 ## [47] munsell_0.5.0 irlba_2.3.3 ## [49] orthopolynom_1.0-5 compiler_3.6.0 ## [51] rsvd_1.0.2 contfrac_1.1-12 ## [53] rlang_0.4.0 grid_3.6.0 ## [55] RCurl_1.95-4.12 BiocNeighbors_1.2.0 ## [57] igraph_1.2.4.1 labeling_0.3 ## [59] bitops_1.0-6 rmarkdown_1.15 ## [61] codetools_0.2-16 hypergeo_1.2-13 ## [63] gtable_0.3.0 deSolve_1.24 ## [65] reshape2_1.4.3 R6_2.4.0 ## [67] gridExtra_2.3 knitr_1.25 ## [69] dplyr_0.8.3 future.apply_1.3.0 ## [71] stringi_1.4.3 ggbeeswarm_0.6.0 ## [73] Rcpp_1.0.2 sctransform_0.2.0 ## [75] tidyselect_0.2.5 xfun_0.9 7.3 Normalization practice (Reads) Figure 7.9: PCA plot of the tung data Figure 7.10: PCA plot of the tung data after CPM normalisation Figure 7.11: Cell-wise RLE of the tung data Figure 7.12: Cell-wise RLE of the tung data Figure 7.13: PCA plot of the tung data after LSF normalisation Figure 7.14: Cell-wise RLE of the tung data Figure 7.15: Cell-wise RLE of the tung data Let us look at the NB GLM model parameters estimated by sctransform. We can look at the effect of sctransform’s normalization on three particular genes, ACTB, POU5F1 (aka OCT4) and CD74. Figure 7.16: PCA plot of the tung reads data after sctransform normalisation (Pearson residuals). Figure 7.17: Cell-wise RLE of the tung reads data ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] viridis_0.5.1 dynamicTreeCut_1.63-1 ## [3] edgeR_3.26.8 BiocSingular_1.0.0 ## [5] viridisLite_0.3.0 DelayedMatrixStats_1.6.1 ## [7] elliptic_1.4-0 moments_0.14 ## [9] assertthat_0.2.1 statmod_1.4.32 ## [11] highr_0.8 dqrng_0.2.1 ## [13] GenomeInfoDbData_1.2.1 vipor_0.4.5 ## [15] yaml_2.2.0 globals_0.12.4 ## [17] pillar_1.4.2 lattice_0.20-38 ## [19] glue_1.3.1 limma_3.40.6 ## [21] digest_0.6.21 XVector_0.24.0 ## [23] colorspace_1.4-1 plyr_1.8.4 ## [25] cowplot_1.0.0 htmltools_0.3.6 ## [27] Matrix_1.2-17 pkgconfig_2.0.3 ## [29] listenv_0.7.0 bookdown_0.13 ## [31] zlibbioc_1.30.0 purrr_0.3.2 ## [33] scales_1.0.0 Rtsne_0.15 ## [35] tibble_2.1.3 withr_2.1.2 ## [37] lazyeval_0.2.2 magrittr_1.5 ## [39] crayon_1.3.4 evaluate_0.14 ## [41] future_1.14.0 MASS_7.3-51.1 ## [43] beeswarm_0.2.3 tools_3.6.0 ## [45] stringr_1.4.0 munsell_0.5.0 ## [47] locfit_1.5-9.1 irlba_2.3.3 ## [49] orthopolynom_1.0-5 compiler_3.6.0 ## [51] rsvd_1.0.2 contfrac_1.1-12 ## [53] rlang_0.4.0 grid_3.6.0 ## [55] RCurl_1.95-4.12 BiocNeighbors_1.2.0 ## [57] igraph_1.2.4.1 labeling_0.3 ## [59] bitops_1.0-6 rmarkdown_1.15 ## [61] codetools_0.2-16 hypergeo_1.2-13 ## [63] gtable_0.3.0 deSolve_1.24 ## [65] reshape2_1.4.3 R6_2.4.0 ## [67] gridExtra_2.3 knitr_1.25 ## [69] dplyr_0.8.3 future.apply_1.3.0 ## [71] stringi_1.4.3 ggbeeswarm_0.6.0 ## [73] Rcpp_1.0.2 sctransform_0.2.0 ## [75] tidyselect_0.2.5 xfun_0.9 7.4 Identifying confounding factors 7.4.1 Introduction There is a large number of potential confounders, artifacts and biases in scRNA-seq data. One of the main challenges in analysing scRNA-seq data stems from the fact that it is difficult to carry out a true technical replication (why?) to distinguish biological and technical variability. In the previous chapters we considered normalization and in this chapter we will continue to explore how experimental artifacts can be identified and removed. We will continue using the scater package since it provides a set of methods specifically for quality control of experimental and explanatory variables. Moreover, we will continue to work with the Blischak data that was used in the previous chapter. library(scater, quietly = TRUE) library(scran) options(stringsAsFactors = FALSE) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control The umi.qc dataset contains filtered cells and genes. Our next step is to explore technical drivers of variability in the data to inform data normalisation before downstream analysis. 7.4.2 Correlations with PCs Let’s first look again at the PCA plot of the QCed dataset using the scran-normalized log2-CPM values: qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) umi.qc <- normalize(umi.qc) reducedDim(umi.qc, "PCA") <- reducedDim( runPCA(umi.qc[endog_genes,], exprs_values = "logcounts", ncomponents = 10), "PCA") plotPCA( umi.qc, colour_by = "batch", size_by = "total_features_by_counts" ) Figure 7.18: PCA plot of the tung data scater allows one to identify principal components that correlate with experimental and QC variables of interest (it ranks principle components by \\(R^2\\) from a linear model regressing PC value against the variable of interest). Let’s test whether some of the variables correlate with any of the PCs. 7.4.2.1 Top colData variables associated with PCs The plot below shows, for each of the first 10 PCs, the variance explained by the ten variables in colData(umi.qc) that are most strongly associated with the PCs. [We will ignore the sample_id variable: it has a unique value for each cell, so can explain all the variation for all PCs.] plotExplanatoryPCs(umi.qc) Figure 7.19: PC correlation with the number of detected genes Indeed, we can see that PC1 can be almost completely explained by batch and individual (of course batch is nested within individual). The total counts from ERCC spike-ins also explains a substantial proportion of the variability in PC1. Although number of detected genes is not strongly correlated with the PCs here (after normalization), this is commonly the case and something to look out for. [You might like to replicate the plot above using raw logcounts values to see what happens without normalization]. This is a well-known issue in scRNA-seq and was described here. 7.4.3 Explanatory variables scater can also compute the marginal \\(R^2\\) for each variable when fitting a linear model regressing expression values for each gene against just that variable, and display a density plot of the gene-wise marginal \\(R^2\\) values for the variables. plotExplanatoryVariables( umi.qc, exprs_values = "logcounts_raw", variables = c( "total_features_by_counts", "total_counts", "batch", "individual", "pct_counts_ERCC", "pct_counts_MT" ) ) Figure 7.20: Explanatory variables This analysis indicates that the number of detected genes (again) and also the sequencing depth (total number of UMI counts per cell) have substantial explanatory power for many genes, so these variables are good candidates for conditioning out in a normalization step, or including in downstream statistical models [cf. sctransform’s approach to normalization]. Expression of ERCCs also appears to be an important explanatory variable and one notable feature of the above plot is that batch explains more than individual. What does that tell us about the technical and biological variability of the data? 7.4.4 Other confounders In addition to correcting for batch, there are other factors that one may want to compensate for. As with batch correction, these adjustments require extrinsic information. One popular method is scLVM which allows you to identify and subtract the effect from processes such as cell-cycle or apoptosis. In addition, protocols may differ in terms of their coverage of each transcript, their bias based on the average content of A/T nucleotides, or their ability to capture short transcripts. Ideally, we would like to compensate for all of these differences and biases. 7.4.5 Exercise Perform the same analysis with read counts of the Blischak data. Use tung/reads.rds file to load the reads SCESet object. Once you have finished please compare your results to ours (next chapter). 7.4.6 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] knitr_1.25 ## ## loaded via a namespace (and not attached): ## [1] locfit_1.5-9.1 Rcpp_1.0.2 ## [3] rsvd_1.0.2 lattice_0.20-38 ## [5] assertthat_0.2.1 digest_0.6.21 ## [7] R6_2.4.0 dynamicTreeCut_1.63-1 ## [9] evaluate_0.14 highr_0.8 ## [11] pillar_1.4.2 zlibbioc_1.30.0 ## [13] rlang_0.4.0 lazyeval_0.2.2 ## [15] irlba_2.3.3 Matrix_1.2-17 ## [17] rmarkdown_1.15 labeling_0.3 ## [19] BiocNeighbors_1.2.0 statmod_1.4.32 ## [21] stringr_1.4.0 igraph_1.2.4.1 ## [23] RCurl_1.95-4.12 munsell_0.5.0 ## [25] compiler_3.6.0 vipor_0.4.5 ## [27] BiocSingular_1.0.0 xfun_0.9 ## [29] pkgconfig_2.0.3 ggbeeswarm_0.6.0 ## [31] htmltools_0.3.6 tidyselect_0.2.5 ## [33] tibble_2.1.3 gridExtra_2.3 ## [35] GenomeInfoDbData_1.2.1 bookdown_0.13 ## [37] edgeR_3.26.8 viridisLite_0.3.0 ## [39] crayon_1.3.4 dplyr_0.8.3 ## [41] withr_2.1.2 bitops_1.0-6 ## [43] grid_3.6.0 gtable_0.3.0 ## [45] magrittr_1.5 scales_1.0.0 ## [47] dqrng_0.2.1 stringi_1.4.3 ## [49] XVector_0.24.0 viridis_0.5.1 ## [51] limma_3.40.6 DelayedMatrixStats_1.6.1 ## [53] cowplot_1.0.0 tools_3.6.0 ## [55] glue_1.3.1 beeswarm_0.2.3 ## [57] purrr_0.3.2 yaml_2.2.0 ## [59] colorspace_1.4-1 7.5 Identifying confounding factors (Reads) Figure 7.21: PCA plot of the tung data Figure 7.22: PC correlation with the number of detected genes Figure 7.23: Explanatory variables ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 SingleCellExperiment_1.6.0 ## [5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 ## [7] BiocParallel_1.18.1 matrixStats_0.55.0 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] locfit_1.5-9.1 Rcpp_1.0.2 ## [3] rsvd_1.0.2 lattice_0.20-38 ## [5] assertthat_0.2.1 digest_0.6.21 ## [7] R6_2.4.0 dynamicTreeCut_1.63-1 ## [9] evaluate_0.14 highr_0.8 ## [11] pillar_1.4.2 zlibbioc_1.30.0 ## [13] rlang_0.4.0 lazyeval_0.2.2 ## [15] irlba_2.3.3 Matrix_1.2-17 ## [17] rmarkdown_1.15 labeling_0.3 ## [19] BiocNeighbors_1.2.0 statmod_1.4.32 ## [21] stringr_1.4.0 igraph_1.2.4.1 ## [23] RCurl_1.95-4.12 munsell_0.5.0 ## [25] compiler_3.6.0 vipor_0.4.5 ## [27] BiocSingular_1.0.0 xfun_0.9 ## [29] pkgconfig_2.0.3 ggbeeswarm_0.6.0 ## [31] htmltools_0.3.6 tidyselect_0.2.5 ## [33] tibble_2.1.3 gridExtra_2.3 ## [35] GenomeInfoDbData_1.2.1 bookdown_0.13 ## [37] edgeR_3.26.8 viridisLite_0.3.0 ## [39] crayon_1.3.4 dplyr_0.8.3 ## [41] withr_2.1.2 bitops_1.0-6 ## [43] grid_3.6.0 gtable_0.3.0 ## [45] magrittr_1.5 scales_1.0.0 ## [47] dqrng_0.2.1 stringi_1.4.3 ## [49] XVector_0.24.0 viridis_0.5.1 ## [51] limma_3.40.6 DelayedMatrixStats_1.6.1 ## [53] cowplot_1.0.0 tools_3.6.0 ## [55] glue_1.3.1 beeswarm_0.2.3 ## [57] purrr_0.3.2 yaml_2.2.0 ## [59] colorspace_1.4-1 knitr_1.25 7.6 Batch effects 7.6.1 Introduction In the previous chapter we normalized for library size, effectively removing it as a confounder. Now we will consider removing other less well defined confounders from our data. Technical confounders (aka batch effects) can arise from difference in reagents, isolation methods, the lab/experimenter who performed the experiment, even which day/time the experiment was performed. Accounting for technical confounders, and batch effects particularly, is a large topic that also involves principles of experimental design. Here we address approaches that can be taken to account for confounders when the experimental design is appropriate. Fundamentally, accounting for technical confounders involves identifying and, ideally, removing sources of variation in the expression data that are not related to (i.e. are confounding) the biological signal of interest. Various approaches exist, some of which use spike-in or housekeeping genes, and some of which use endogenous genes. 7.6.1.1 Advantages and disadvantages of using spike-ins to remove confounders The use of spike-ins as control genes is conceptually appealing, since (ideally) the same amount of ERCC (or other) spike-in would be added to each cell in our experiment. In principle, all the variability we observe for these ``genes’’ is due to technical noise; whereas endogenous genes are affected by both technical noise and biological variability. Technical noise can be removed by fitting a model to the spike-ins and “substracting†this from the endogenous genes. There are several methods available based on this premise (eg. BASiCS, scLVM, RUVg); each using different noise models and different fitting procedures. Alternatively, one can identify genes which exhibit significant variation beyond technical noise (eg. Distance to median, Highly variable genes). Unfortunately, there are major issues with the use of spike-ins for normalisation that limit their utility in practice. Perhaps surprisingly, their variability can, for various reasons, actually be higher than that of endogenous genes. One key reason for the difficulty of their use in practice is the need to pipette miniscule volumes of spike-in solution into The most popular set of spike-ins, namely ERCCs, are derived from bacterial sequences, which raises concerns that their base content and structure diverges to far from gene structure in other biological systems of interest (e.g. mammalian genes) to be reliable for normalisation. Even in the best-case scenarios, spike-ins are limited to use on plate-based platforms; they are fundamentally incompatible with droplet-based platforms. Given the issues with using spike-ins, better results can often be obtained by using endogenous genes instead. Given their limited availability, normalisation methods based only on endogenous genes needed to be developed and we consider them generally preferable, even for platforms where spike-ins may be used. Where we have a large number of endogenous genes that, on average, do not vary systematically between cells and where we expect technical effects to affect a large number of genes (a very common and reasonable assumption), then such methods (for example, the RUVs method) can perform well. We explore both general approaches below. library(scRNA.seq.funcs) library(RUVSeq) library(scater) library(SingleCellExperiment) library(scran) library(kBET) library(sva) # Combat library(edgeR) library(harmony) set.seed(1234567) options(stringsAsFactors = FALSE) umi <- readRDS("data/tung/umi.rds") umi.qc <- umi[rowData(umi)$use, colData(umi)$use] endog_genes <- !rowData(umi.qc)$is_feature_control erccs <- rowData(umi.qc)$is_feature_control ## Apply scran sum factor normalization qclust <- quickCluster(umi.qc, min.size = 30, use.ranks = FALSE) umi.qc <- computeSumFactors(umi.qc, sizes = 15, clusters = qclust) umi.qc <- normalize(umi.qc) 7.6.2 Linear models Linear models offer a relatively simple approach to accounting for batch effects and confounders. A linear model can correct for batches while preserving biological effects if you have a balanced design. In a confounded/replicate design biological effects will not be fit/preserved. We could remove batch effects from each individual separately in order to preserve biological (and technical) variance between individuals (we will apply a similar with mnnCorrect, below). Depending on how we have pre-processed our scRNA-seq data or what modelling assumptions we are willing to make, we may choose to use normal (Gaussian) linear models (i.e. assuming a normal distribution for noise) or generalized linear models (GLM), where we can use any distribution from the exponential family. Given that we obtain highly-variable count data from scRNA-seq assays, the obvious choice for a GLM is to use the negative binomial distribution, which has proven highly successful in the analysis of bulk RNA-seq data. For demonstration purposes here we will naively correct all confounded batch effects. 7.6.2.1 Gaussian (normal) linear models The limma package in Bioconductor offers a convenient and efficient means to fit a linear model (with the same design matrix) to a dataset with a large number of features (i.e. genes) (Ritchie et al. 2015). An added advantage of limma is its ability to apply empirical Bayes squeezing of variance estimate to improve inference. Provided we are satisfied making the assumption of a Gaussian distribution for residuals (this may be reasonable for normalized log-counts in many cases; but it may not be—debate continues in the literature), then we can apply limma to regress out (known) unwanted sources of variation as follows. ## fit a model just accounting for batch lm_design_batch <- model.matrix(~0 + batch, data = colData(umi.qc)) fit_lm_batch <- lmFit(logcounts(umi.qc), lm_design_batch) resids_lm_batch <- residuals(fit_lm_batch, logcounts(umi.qc)) assay(umi.qc, "lm_batch") <- resids_lm_batch reducedDim(umi.qc, "PCA_lm_batch") <- reducedDim( runPCA(umi.qc[endog_genes, ], exprs_values = "lm_batch"), "PCA") plotReducedDim(umi.qc, use_dimred = "PCA_lm_batch", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("LM - regress out batch") Two problems are immediately apparent with the approach above. First, batch is nested within individual, so simply regressing out batch as we have done above also regresses out differences between individuals that we would like to preserve. Second, we observe that the first principal component seems to separate cells by number of genes (features) expressed, which is undesirable. We can address these concerns by correcting for batch within each individual separately, and also fitting the proportion of genes expressed per cell as a covariate. [NB: to preserve overall differences in expression levels between individuals we will need to apply a slight hack to the LM fit results (setting the intercept coefficient to zero).] Exercise 2 Perform LM correction for each individual separately. Store the final corrected matrix in the lm_batch_indi slot. ## define cellular detection rate (cdr), i.e. proportion of genes expressed in each cell umi.qc$cdr <- umi.qc$total_features_by_counts_endogenous / nrow(umi.qc) ## fit a model just accounting for batch by individual lm_design_batch1 <- model.matrix(~batch + cdr, data = colData(umi.qc)[umi.qc$individual == "na19098",]) fit_indi1 <- lmfit(logcounts(umi.qc)[, umi.qc$individual == "na19098"], lm_design_batch1) fit_indi1$coefficients[,1] <- 0 ## replace intercept with 0 to preserve reference batch resids_lm_batch1 <- residuals(fit_indi1, logcounts(umi.qc)[, umi.qc$individual == "na19098"]) lm_design_batch2 <- model.matrix(~batch + cdr, data = colData(umi.qc)[umi.qc$individual == "na19101",]) fit_indi2 <- lmfit(logcounts(umi.qc)[, umi.qc$individual == "na19101"], lm_design_batch2) fit_indi2$coefficients[,1] <- 0 ## replace intercept with 0 to preserve reference batch resids_lm_batch2 <- residuals(fit_indi2, logcounts(umi.qc)[, umi.qc$individual == "na19101"]) lm_design_batch3 <- model.matrix(~batch + cdr, data = colData(umi.qc)[umi.qc$individual == "na19239",]) fit_indi3 <- lmfit(logcounts(umi.qc)[, umi.qc$individual == "na19239"], lm_design_batch3) fit_indi3$coefficients[,1] <- 0 ## replace intercept with 0 to preserve reference batch resids_lm_batch3 <- residuals(fit_indi3, logcounts(umi.qc)[, umi.qc$individual == "na19239"]) identical(colnames(umi.qc), colnames(cbind(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3))) assay(umi.qc, "lm_batch_indi") <- cbind(resids_lm_batch1, resids_lm_batch2, resids_lm_batch3) reduceddim(umi.qc, "pca_lm_batch_indi") <- reduceddim( runpca(umi.qc[endog_genes, ], exprs_values = "lm_batch_indi"), "pca") plotreduceddim(umi.qc, use_dimred = "pca_lm_batch_indi", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("lm - regress out batch within individuals separately") What do you think of the results of this approach? 7.6.2.2 Negative binomial generalized linear models Advanced exercise Can you use the edgeR package to use a negative binomial generalized linear model to regress out batch effects? Hint: follow a similar approach to that taken in the limma example above. You will need to use the DGEList(), estimateDisp(), and glmQLFit() functions. 7.6.3 sctransform The sctransform approach to using Pearson residuals from an regularized negative binomial generalized linear model was introduced above. Here we demonstrate how to apply this method. Note that (due to what looks like a bug in this version of sctransform) we need to convert the UMI count matrix to a sparse format to apply sctransform. These sctransform results will face the problem mentioned above of batch being nested within individual, which means that we cannot directly remove batch effects without removing differences between individuals. However, here we will demonstrate how you would try to remove batch effects with sctransform for a kinder experimental design. umi_sparse <- as(counts(umi.qc), "dgCMatrix") ### Genes expressed in at least 5 cells will be kept sctnorm_data <- sctransform::vst(umi = umi_sparse, min_cells = 1, cell_attr = as.data.frame(colData(umi.qc)), latent_var = c("log10_total_counts_endogenous", "batch")) ## Pearson residuals, or deviance residuals sctnorm_data$model_str assay(umi.qc, "sctrans_norm") <- sctnorm_data$y Let us look at the NB GLM model parameters estimated by sctransform. #sce$log10_total_counts ## Matrix of estimated model parameters per gene (theta and regression coefficients) sctransform::plot_model_pars(sctnorm_data) Do these parameters and the regularization look sensible to you? Any concerns? reducedDim(umi.qc, "PCA_sctrans_norm") <- reducedDim( runPCA(umi.qc[endog_genes, ], exprs_values = "sctrans_norm") ) plotReducedDim( umi.qc, use_dimred = "PCA_sctrans_norm", colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle("PCA plot: sctransform normalization") Figure 7.7: PCA plot of the tung data after sctransform normalisation (Pearson residuals). Q: What’s happened here? Was that expected? Any other comments? 7.6.4 Remove Unwanted Variation Factors contributing to technical noise frequently appear as “batch effects†where cells processed on different days or by different technicians systematically vary from one another. Removing technical noise and correcting for batch effects can frequently be performed using the same tool or slight variants on it. We will be considering the Remove Unwanted Variation (RUVSeq). Briefly, RUVSeq works as follows. For \\(n\\) samples and \\(J\\) genes, consider the following generalized linear model (GLM), where the RNA-Seq read counts are regressed on both the known covariates of interest and unknown factors of unwanted variation: \\[\\log E[Y|W,X,O] = W\\alpha + X\\beta + O\\] Here, \\(Y\\) is the \\(n \\times J\\) matrix of observed gene-level read counts, \\(W\\) is an \\(n \\times k\\) matrix corresponding to the factors of “unwanted variation†and \\(O\\) is an \\(n \\times J\\) matrix of offsets that can either be set to zero or estimated with some other normalization procedure (such as upper-quartile normalization). The simultaneous estimation of \\(W\\), \\(\\alpha\\), \\(\\beta\\), and \\(k\\) is infeasible. For a given \\(k\\), instead the following three approaches to estimate the factors of unwanted variation \\(W\\) are used: RUVg uses negative control genes (e.g. ERCCs), assumed to have constant expression across samples; RUVs uses centered (technical) replicate/negative control samples for which the covariates of interest are constant; RUVr uses residuals, e.g., from a first-pass GLM regression of the counts on the covariates of interest. We will concentrate on the first two approaches. 7.6.4.1 RUVg To use RUVg we will use ERCCs as negative control genes to anchor the estimation of factors representing unwanted variation. RUVg operates on the raw count data. We adjust the output normalized counts from RUVg so that they represent normalized counts-per-million and then apply a log2 transformation. We run RUVg twice, with \\(k=1\\) and \\(k=10\\) so that we can compare the effect of estimating different number of hidden factors to capture unwanted variation in the data. ruvg <- RUVg(counts(umi.qc), erccs, k = 1) assay(umi.qc, "ruvg1") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) ruvg <- RUVg(counts(umi.qc), erccs, k = 10) assay(umi.qc, "ruvg10") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) When we assess the effectiveness of various batch correction methods below, you can discuss whether or not you think using ERCCs as negative control genes for a method like RUVg is advisable (in this dataset and in general). 7.6.4.2 RUVs In this application of RUVs we treat the individuals as replicates for which the covariates of interest are constant. As above, we adjust the output normalized counts from RUVs so that they represent normalized counts-per-million and then apply a log2 transformation. Again, we run the method with \\(k=1\\) and \\(k=10\\) so that we can compare the effect of estimating different number of hidden factors. scIdx <- matrix(-1, ncol = max(table(umi.qc$individual)), nrow = 3) tmp <- which(umi.qc$individual == "NA19098") scIdx[1, 1:length(tmp)] <- tmp tmp <- which(umi.qc$individual == "NA19101") scIdx[2, 1:length(tmp)] <- tmp tmp <- which(umi.qc$individual == "NA19239") scIdx[3, 1:length(tmp)] <- tmp cIdx <- rownames(umi.qc) ruvs <- RUVs(counts(umi.qc), cIdx, k = 1, scIdx = scIdx, isLog = FALSE) assay(umi.qc, "ruvs1") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) ruvs <- RUVs(counts(umi.qc), cIdx, k = 10, scIdx = scIdx, isLog = FALSE) assay(umi.qc, "ruvs10") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) 7.6.5 Combat If you have an experiment with a balanced design, Combat can be used to eliminate batch effects while preserving biological effects by specifying the biological effects using the mod parameter. However the Tung data contains multiple experimental replicates rather than a balanced design so using mod1 to preserve biological variability will result in an error. combat_data <- logcounts(umi.qc) mod_data <- as.data.frame(t(combat_data)) # Basic batch removal mod0 <- model.matrix(~ 1, data = mod_data) # Preserve biological variability mod1 <- model.matrix(~ umi.qc$individual, data = mod_data) # adjust for total genes detected mod2 <- model.matrix(~ umi.qc$total_features_by_counts, data = mod_data) assay(umi.qc, "combat") <- ComBat( dat = t(mod_data), batch = factor(umi.qc$batch), mod = mod0, par.prior = TRUE, prior.plots = FALSE ) ## Standardizing Data across genes Exercise 1 Perform ComBat correction accounting for total features as a co-variate. Store the corrected matrix in the combat_tf slot. 7.6.6 mnnCorrect mnnCorrect (Haghverdi et al. 2017) assumes that each batch shares at least one biological condition with each other batch. Thus it works well for a variety of balanced experimental designs. However, the Tung data contains multiple replicates for each invidividual rather than balanced batches, thus we will normalize each individual separately. Note that this will remove batch effects between batches within the same individual but not the batch effects between batches in different individuals, due to the confounded experimental design. Thus we will merge a replicate from each individual to form three batches. do_mnn <- function(data.qc) { batch1 <- logcounts(data.qc[, data.qc$replicate == "r1"]) batch2 <- logcounts(data.qc[, data.qc$replicate == "r2"]) batch3 <- logcounts(data.qc[, data.qc$replicate == "r3"]) if (ncol(batch2) > 0) { x <- batchelor::mnnCorrect( batch1, batch2, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } else { x <- batchelor::mnnCorrect( batch1, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } } indi1 <- do_mnn(umi.qc[, umi.qc$individual == "NA19098"]) indi2 <- do_mnn(umi.qc[, umi.qc$individual == "NA19101"]) indi3 <- do_mnn(umi.qc[, umi.qc$individual == "NA19239"]) identical(colnames(umi.qc), colnames(cbind(indi1, indi2, indi3))) ## [1] TRUE assay(umi.qc, "mnn") <- assay(cbind(indi1, indi2, indi3), "corrected") # For a balanced design: #assay(umi.qc, "mnn") <- mnnCorrect( # list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), # k = 20, # sigma = 0.1, # cos.norm = TRUE, # svd.dim = 2 #) The latest version of the batchelor package has a new fastMNN() method. The fastMNN() function performs a principal components (PCA). MNN identification and correction is preformed on this low-dimensional representation of the data, an approach that offers some advantages in speed and denoising. The function returns a SingleCellExperiment object containing a matrix of corrected PC scores, which can be used directly for downstream analyses like clustering and visualization. [NB: fastMNN may actually be slower on small datasets like that considered here.] indi1 <- batchelor::fastMNN( umi.qc[, umi.qc$individual == "NA19098"], batch = umi.qc[, umi.qc$individual == "NA19098"]$replicate) indi2 <- batchelor::fastMNN( umi.qc[, umi.qc$individual == "NA19101"], batch = umi.qc[, umi.qc$individual == "NA19101"]$replicate) indi3 <- batchelor::fastMNN( umi.qc[, umi.qc$individual == "NA19239"], batch = umi.qc[, umi.qc$individual == "NA19239"]$replicate) identical(colnames(umi.qc), colnames(cbind(assay(indi1, "reconstructed"), assay(indi2, "reconstructed"), assay(indi3, "reconstructed")))) ## [1] TRUE fastmnn <- cbind(assay(indi1, "reconstructed"), assay(indi2, "reconstructed"), assay(indi3, "reconstructed")) identical(rownames(umi.qc), rownames(fastmnn)) ## [1] FALSE ## fastMNN() drops 66 genes, so we cannot immediately add the reconstructed expression matrix to assays() in umi.qc ## But we can run PCA on the reconstructed data from fastMNN() and add that to the reducedDim slot of our SCE object fastmnn_pca <- runPCA(fastmnn, rank=2) reducedDim(umi.qc, "fastmnn") <- fastmnn_pca$rotation For further details, please consult the batchelor package documentation and vignette. 7.6.7 Harmony Harmony [Korsunsky2018fast] is a newer batch correction method, which is designed to operate on PC space. The algorithm proceeds to iteratively cluster the cells, with the objective function formulated to promote cells from multiple datasets within each cluster. Once a clustering is obtained, the positions of the centroids of each dataset are obtained on a per-cluster basis and the coordinates are corrected. This procedure is iterated until convergence. Harmony comes with a theta parameter that controls the degree of batch correction (higher values lead to more dataset integration), and can account for multiple experimental and biological factors on input. Seeing how the end result of Harmony is an altered dimensional reduction space created on the basis of PCA, we plot the obtained manifold here and exclude it from the rest of the follow-ups in the section. umi.qc.endog <- umi.qc[endog_genes,] umi.qc.endog <- runPCA(umi.qc.endog, exprs_values = 'logcounts', ncomponents = 20) pca <- as.matrix(reducedDim(umi.qc.endog, "PCA")) harmony_emb <- HarmonyMatrix(pca, umi.qc.endog$batch, theta=2, do_pca=FALSE) reducedDim(umi.qc.endog, "harmony") <- harmony_emb plotReducedDim( umi.qc.endog, use_dimred = 'harmony', colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) reducedDim(umi.qc, "harmony") <- reducedDim(umi.qc.endog, "harmony") 7.6.8 How to evaluate and compare batch correction A key question when considering the different methods for removing confounders is how to quantitatively determine which one is the most effective. The main reason why comparisons are challenging is because it is often difficult to know what corresponds to technical counfounders and what is interesting biological variability. Here, we consider three different metrics which are all reasonable based on our knowledge of the experimental design. Depending on the biological question that you wish to address, it is important to choose a metric that allows you to evaluate the confounders that are likely to be the biggest concern for the given situation. 7.6.8.1 Effectiveness 1 We evaluate the effectiveness of the normalization by inspecting the PCA plot where colour corresponds the technical replicates and shape corresponds to different biological samples (individuals). Separation of biological samples and interspersed batches indicates that technical variation has been removed. We always use log2-cpm normalized data to match the assumptions of PCA. for (nm in assayNames(umi.qc)) { cat(nm, " \\n") tmp <- runPCA( umi.qc[endog_genes, ], exprs_values = nm ) reducedDim(umi.qc, paste0("PCA_", nm)) <- reducedDim(tmp, "PCA") } ## counts ## logcounts_raw ## logcounts ## sctrans_norm ## ruvg1 ## ruvg10 ## ruvs1 ## ruvs10 ## combat ## mnn for (nm in reducedDimNames(umi.qc)) { print( plotReducedDim( umi.qc, use_dimred = nm, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle(nm) ) } Exercise 3 Consider different k’s for RUV normalizations. Which gives the best results? 7.6.8.2 Effectiveness 2 We can also examine the effectiveness of correction using the relative log expression (RLE) across cells to confirm technical noise has been removed from the dataset. Note RLE only evaluates whether the number of genes higher and lower than average are equal for each cell - i.e. systemic technical effects. Random technical noise between batches may not be detected by RLE. res <- list() for(n in assayNames(umi.qc)) { res[[n]] <- suppressWarnings(calc_cell_RLE(assay(umi.qc, n), erccs)) } par(mar=c(6,4,1,1)) boxplot(res, las=2) 7.6.8.3 Effectiveness 3 Another method to check the efficacy of batch-effect correction is to consider the intermingling of points from different batches in local subsamples of the data. If there are no batch-effects then proportion of cells from each batch in any local region should be equal to the global proportion of cells in each batch. kBET (Buttner et al. 2017) takes kNN networks around random cells and tests the number of cells from each batch against a binomial distribution. The rejection rate of these tests indicates the severity of batch-effects still present in the data (high rejection rate = strong batch effects). kBET assumes each batch contains the same complement of biological groups, thus it can only be applied to the entire dataset if a perfectly balanced design has been used. However, kBET can also be applied to replicate-data if it is applied to each biological group separately. In the case of the Tung data, we will apply kBET to each individual independently to check for residual batch effects. However, this method will not identify residual batch-effects which are confounded with biological conditions. In addition, kBET does not determine if biological signal has been preserved. compare_kBET_results <- function(sce){ indiv <- unique(sce$individual) norms <- assayNames(sce) # Get all normalizations results <- list() for (i in indiv){ for (j in norms){ tmp <- kBET( df = t(assay(sce[,sce$individual== i], j)), batch = sce$batch[sce$individual==i], heuristic = TRUE, verbose = FALSE, addTest = FALSE, plot = FALSE) results[[i]][[j]] <- tmp$summary$kBET.observed[1] } } return(as.data.frame(results)) } eff_debatching <- compare_kBET_results(umi.qc) require("reshape2") require("RColorBrewer") # Plot results dod <- melt(as.matrix(eff_debatching), value.name = "kBET") colnames(dod)[1:2] <- c("Normalisation", "Individual") colorset <- c('gray', brewer.pal(n = 9, "Oranges")) ggplot(dod, aes(Normalisation, Individual, fill=kBET)) + geom_tile() + scale_fill_gradient2( na.value = "gray", low = colorset[2], mid=colorset[6], high = colorset[10], midpoint = 0.5, limit = c(0,1)) + scale_x_discrete(expand = c(0, 0)) + scale_y_discrete(expand = c(0, 0)) + theme( axis.text.x = element_text( angle = 45, vjust = 1, size = 12, hjust = 1 ) ) + ggtitle("Effect of batch regression methods per individual") Exercise 4 Why do the raw counts appear to have little batch effects? 7.6.9 Big Exercise Perform the same analysis with read counts of the tung data. Use tung/reads.rds file to load the reads SCE object. Once you have finished please compare your results to ours (next chapter). Additionally, experiment with other combinations of normalizations and compare the results. 7.6.10 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] stats4 parallel stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] RColorBrewer_1.1-2 reshape2_1.4.3 ## [3] harmony_1.0 Rcpp_1.0.2 ## [5] sva_3.32.1 genefilter_1.66.0 ## [7] mgcv_1.8-28 nlme_3.1-139 ## [9] kBET_0.99.6 scran_1.12.1 ## [11] scater_1.12.2 ggplot2_3.2.1 ## [13] SingleCellExperiment_1.6.0 RUVSeq_1.18.0 ## [15] edgeR_3.26.8 limma_3.40.6 ## [17] EDASeq_2.18.0 ShortRead_1.42.0 ## [19] GenomicAlignments_1.20.1 SummarizedExperiment_1.14.1 ## [21] DelayedArray_0.10.0 matrixStats_0.55.0 ## [23] Rsamtools_2.0.1 GenomicRanges_1.36.1 ## [25] GenomeInfoDb_1.20.0 Biostrings_2.52.0 ## [27] XVector_0.24.0 IRanges_2.18.3 ## [29] S4Vectors_0.22.1 BiocParallel_1.18.1 ## [31] Biobase_2.44.0 BiocGenerics_0.30.0 ## [33] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] backports_1.1.4 aroma.light_3.14.0 ## [3] plyr_1.8.4 igraph_1.2.4.1 ## [5] lazyeval_0.2.2 splines_3.6.0 ## [7] listenv_0.7.0 elliptic_1.4-0 ## [9] digest_0.6.21 htmltools_0.3.6 ## [11] viridis_0.5.1 magrittr_1.5 ## [13] memoise_1.1.0 contfrac_1.1-12 ## [15] cluster_2.1.0 globals_0.12.4 ## [17] annotate_1.62.0 R.utils_2.9.0 ## [19] prettyunits_1.0.2 colorspace_1.4-1 ## [21] blob_1.2.0 xfun_0.9 ## [23] dplyr_0.8.3 crayon_1.3.4 ## [25] RCurl_1.95-4.12 zeallot_0.1.0 ## [27] survival_2.43-3 glue_1.3.1 ## [29] gtable_0.3.0 zlibbioc_1.30.0 ## [31] BiocSingular_1.0.0 future.apply_1.3.0 ## [33] scales_1.0.0 DESeq_1.36.0 ## [35] DBI_1.0.0 viridisLite_0.3.0 ## [37] xtable_1.8-4 progress_1.2.2 ## [39] dqrng_0.2.1 bit_1.1-14 ## [41] rsvd_1.0.2 deSolve_1.24 ## [43] httr_1.4.1 FNN_1.1.3 ## [45] pkgconfig_2.0.3 XML_3.98-1.20 ## [47] R.methodsS3_1.7.1 locfit_1.5-9.1 ## [49] dynamicTreeCut_1.63-1 tidyselect_0.2.5 ## [51] labeling_0.3 rlang_0.4.0 ## [53] AnnotationDbi_1.46.1 munsell_0.5.0 ## [55] tools_3.6.0 moments_0.14 ## [57] RSQLite_2.1.2 batchelor_1.0.1 ## [59] evaluate_0.14 stringr_1.4.0 ## [61] yaml_2.2.0 knitr_1.25 ## [63] bit64_0.9-7 hypergeo_1.2-13 ## [65] purrr_0.3.2 future_1.14.0 ## [67] R.oo_1.22.0 biomaRt_2.40.4 ## [69] compiler_3.6.0 beeswarm_0.2.3 ## [71] tibble_2.1.3 statmod_1.4.32 ## [73] geneplotter_1.62.0 stringi_1.4.3 ## [75] highr_0.8 GenomicFeatures_1.36.4 ## [77] lattice_0.20-38 Matrix_1.2-17 ## [79] vctrs_0.2.0 lifecycle_0.1.0 ## [81] pillar_1.4.2 BiocNeighbors_1.2.0 ## [83] cowplot_1.0.0 bitops_1.0-6 ## [85] orthopolynom_1.0-5 irlba_2.3.3 ## [87] rtracklayer_1.44.4 R6_2.4.0 ## [89] latticeExtra_0.6-28 hwriter_1.3.2 ## [91] bookdown_0.13 gridExtra_2.3 ## [93] vipor_0.4.5 codetools_0.2-16 ## [95] MASS_7.3-51.1 assertthat_0.2.1 ## [97] withr_2.1.2 sctransform_0.2.0 ## [99] GenomeInfoDbData_1.2.1 hms_0.5.1 ## [101] grid_3.6.0 tidyr_1.0.0 ## [103] rmarkdown_1.15 DelayedMatrixStats_1.6.1 ## [105] Rtsne_0.15 ggbeeswarm_0.6.0 7.7 Dealing with confounders (Reads) library(scRNA.seq.funcs) library(RUVSeq) library(scater) library(SingleCellExperiment) library(scran) library(kBET) library(sva) # Combat library(harmony) library(edgeR) set.seed(1234567) options(stringsAsFactors = FALSE) reads <- readRDS("data/tung/reads.rds") reads.qc <- reads[rowData(reads)$use, colData(reads)$use] endog_genes <- !rowData(reads.qc)$is_feature_control erccs <- rowData(reads.qc)$is_feature_control qclust <- quickCluster(reads.qc, min.size = 30) reads.qc <- computeSumFactors(reads.qc, sizes = 15, clusters = qclust) reads.qc <- normalize(reads.qc) ruvg <- RUVg(counts(reads.qc), erccs, k = 1) assay(reads.qc, "ruvg1") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) ruvg <- RUVg(counts(reads.qc), erccs, k = 10) assay(reads.qc, "ruvg10") <- log2( t(t(ruvg$normalizedCounts) / colSums(ruvg$normalizedCounts) * 1e6) + 1 ) scIdx <- matrix(-1, ncol = max(table(reads.qc$individual)), nrow = 3) tmp <- which(reads.qc$individual == "NA19098") scIdx[1, 1:length(tmp)] <- tmp tmp <- which(reads.qc$individual == "NA19101") scIdx[2, 1:length(tmp)] <- tmp tmp <- which(reads.qc$individual == "NA19239") scIdx[3, 1:length(tmp)] <- tmp cIdx <- rownames(reads.qc) ruvs <- RUVs(counts(reads.qc), cIdx, k = 1, scIdx = scIdx, isLog = FALSE) assay(reads.qc, "ruvs1") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) ruvs <- RUVs(counts(reads.qc), cIdx, k = 10, scIdx = scIdx, isLog = FALSE) assay(reads.qc, "ruvs10") <- log2( t(t(ruvs$normalizedCounts) / colSums(ruvs$normalizedCounts) * 1e6) + 1 ) combat_data <- logcounts(reads.qc) mod_data <- as.data.frame(t(combat_data)) # Basic batch removal mod0 = model.matrix(~ 1, data = mod_data) # Preserve biological variability mod1 = model.matrix(~ reads.qc$individual, data = mod_data) # adjust for total genes detected mod2 = model.matrix(~ reads.qc$total_features_by_counts, data = mod_data) assay(reads.qc, "combat") <- ComBat( dat = t(mod_data), batch = factor(reads.qc$batch), mod = mod0, par.prior = TRUE, prior.plots = FALSE ) Exercise 1 do_mnn <- function(data.qc) { batch1 <- logcounts(data.qc[, data.qc$replicate == "r1"]) batch2 <- logcounts(data.qc[, data.qc$replicate == "r2"]) batch3 <- logcounts(data.qc[, data.qc$replicate == "r3"]) if (ncol(batch2) > 0) { x <- batchelor::mnnCorrect( batch1, batch2, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } else { x <- batchelor::mnnCorrect( batch1, batch3, k = 20, sigma = 0.1, cos.norm.in = TRUE, svd.dim = 2 ) return(x) } } indi1 <- do_mnn(reads.qc[, reads.qc$individual == "NA19098"]) indi2 <- do_mnn(reads.qc[, reads.qc$individual == "NA19101"]) indi3 <- do_mnn(reads.qc[, reads.qc$individual == "NA19239"]) assay(reads.qc, "mnn") <- cbind(indi1, indi2, indi3) # For a balanced design: #assay(reads.qc, "mnn") <- mnnCorrect( # list(B1 = logcounts(batch1), B2 = logcounts(batch2), B3 = logcounts(batch3)), # k = 20, # sigma = 0.1, # cos.norm = TRUE, # svd.dim = 2 #) glm_fun <- function(g, batch, indi) { model <- glm(g ~ batch + indi) model$coef[1] <- 0 # replace intercept with 0 to preserve reference batch. return(model$coef) } effects <- apply( logcounts(reads.qc), 1, glm_fun, batch = reads.qc$batch, indi = reads.qc$individual ) corrected <- logcounts(reads.qc) - t(effects[as.numeric(factor(reads.qc$batch)), ]) assay(reads.qc, "glm") <- corrected Exercise 2 reads.qc.endog = reads.qc[endog_genes,] reads.qc.endog = runPCA(reads.qc.endog, exprs_values = 'logcounts', ncomponents = 20) pca <- as.matrix(reads.qc.endog@reducedDims@listData[["PCA"]]) harmony_emb <- HarmonyMatrix(pca, reads.qc.endog$batch, theta=2, do_pca=FALSE) reads.qc.endog@reducedDims@listData[['harmony']] <- harmony_emb plotReducedDim( reads.qc.endog, use_dimred = 'harmony', colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) for(n in assayNames(reads.qc)) { tmp <- runPCA( reads.qc[endog_genes, ], exprs_values = n ) print( plotPCA( tmp, colour_by = "batch", size_by = "total_features_by_counts", shape_by = "individual" ) + ggtitle(n) ) } res <- list() for(n in assayNames(reads.qc)) { res[[n]] <- suppressWarnings(calc_cell_RLE(assay(reads.qc, n), erccs)) } par(mar=c(6,4,1,1)) boxplot(res, las=2) compare_kBET_results <- function(sce){ indiv <- unique(sce$individual) norms <- assayNames(sce) # Get all normalizations results <- list() for (i in indiv){ for (j in norms){ tmp <- kBET( df = t(assay(sce[,sce$individual== i], j)), batch = sce$batch[sce$individual==i], heuristic = TRUE, verbose = FALSE, addTest = FALSE, plot = FALSE) results[[i]][[j]] <- tmp$summary$kBET.observed[1] } } return(as.data.frame(results)) } eff_debatching <- compare_kBET_results(reads.qc) require("reshape2") require("RColorBrewer") # Plot results dod <- melt(as.matrix(eff_debatching), value.name = "kBET") colnames(dod)[1:2] <- c("Normalisation", "Individual") colorset <- c('gray', brewer.pal(n = 9, "RdYlBu")) ggplot(dod, aes(Normalisation, Individual, fill=kBET)) + geom_tile() + scale_fill_gradient2( na.value = "gray", low = colorset[2], mid=colorset[6], high = colorset[10], midpoint = 0.5, limit = c(0,1)) + scale_x_discrete(expand = c(0, 0)) + scale_y_discrete(expand = c(0, 0)) + theme( axis.text.x = element_text( angle = 45, vjust = 1, size = 12, hjust = 1 ) ) + ggtitle("Effect of batch regression methods per individual") 7.8 Feature Selection library(scRNA.seq.funcs) library(matrixStats) library(M3Drop) library(RColorBrewer) library(SingleCellExperiment) library(Polychrome) library(scater) library(scran) set.seed(1) Single-cell RNASeq is capable of measuring the expression of many thousands of genes in every cell. However, in most situations only a portion of those will show a response to the biological condition of interest, e.g. differences in cell-type, drivers of differentiation, respond to an environmental stimulus. Most genes detected in a scRNASeq experiment will only be detected at different levels due to technical noise. One consequence of this is that technical noise and batch effects can obscure the biological signal of interest. Thus, it is often advantageous to perform feature selection to remove those genes which only exhibit technical noise from downstream analysis. Not only does this generally increase the signal:noise ratio in the data; it also reduces the computational complexity of analyses, by reducing the total amount of data to be processed. For scRNASeq data, we will be focusing on unsupervised methods of feature selection which don’t require any a priori information, such as cell-type labels or biological group, since they are not available, or may be unreliable, for many experiments. In contrast, differential expression (chapter 12) can be considered a form of supervised feature selection since it uses the known biological label of each sample to identify features (i.e. genes) which are expressed at different levels across groups. For this section we will continue working with the Deng data. deng <- readRDS("data/deng/deng-reads.rds") celltype_labs <- colData(deng)$cell_type2 cell_colors <- createPalette(10, c("#010101", "#ff0000"), M=1000) names(cell_colors) <- unique(as.character(celltype_labs)) Feature selection is performed after QC, however this data has already been QCed so we can skip that step here. M3Drop contain two different feature selection methods “M3DropFeatureSelection†which is based on a Michaelis-Menten curve and is designed for full-transcript single-cell RNA-seq data (such as Smartseq2) and “NBumiFeatureSelectionCombinedDrop†which is based on a negative binomial model and is designed for UMI count data. We will demonstrate both on the Deng Smartseq2 data. M3Drop feature selection is runs direction on a normalized (but not log-transformed) expression matrix. This can be extracted from our SingleCellExperiment object using the command below. expr_matrix <- M3Drop::M3DropConvertData(deng) ## [1] "Removing 1134 undetected genes." This function is compatible with most single-cell RNA-seq analysis packages including: scater, SingleCellExperiment, monocle, and Seurat. It can also convert an existing expression matrix to the correct form (removing undetected genes & normalizing/delogging) if you specify whether the matrix is raw counts, or log transformed. Check the manual for details: ?M3Drop::M3DropConvertData Exercise 1: Confirm that the conversion function has removed undetected genes: 7.8.1 Identifying Genes vs a Null Model There are two main approaches to unsupervised feature selection. The first is to identify genes which behave differently from a null model describing just the technical noise expected in the dataset. If the dataset contains spike-in RNAs they can be used to directly model technical noise. However, measurements of spike-ins may not experience the same technical noise as endogenous transcripts (Svensson et al., 2017). In addition, scRNASeq experiments often contain only a small number of spike-ins which reduces our confidence in fitted model parameters. 7.8.1.1 Highly Variable Genes - Brennecke method The first method proposed to identify features in scRNASeq datasets was to identify highly variable genes (HVG). HVG assumes that if genes have large differences in expression across cells some of those differences are due to biological difference between the cells rather than technical noise. However, because of the nature of count data, there is a positive relationship between the mean expression of a gene and the variance in the read counts across cells. This relationship must be corrected for to properly identify HVGs. Exercise 2 Using the functions rowMeans and rowVars to plot the relationship between mean expression and variance for all genes in this dataset. (Hint: use log=“xy†to plot on a log-scale). An early method to correct for the relationship between variance and mean expression was proposed by Brennecke et al.. To use the Brennecke method, we first normalize for library size then calculate the mean and the square coefficient of variation (variation divided by the squared mean expression). A quadratic curve is fit to the relationship between these two variables for the ERCC spike-in, and then a chi-square test is used to find genes significantly above the curve. This method is included in the M3Drop package as the Brennecke_getVariableGenes(counts, spikes) function. However, this dataset does not contain spike-ins so we will use the entire dataset to estimate the technical noise. In the figure below the red curve is the fitted technical noise model and the dashed line is the 95% CI. Pink dots are the genes with significant biological variability after multiple-testing correction. Brennecke_HVG <- BrenneckeGetVariableGenes( expr_matrix, fdr = 0.01, minBiolDisp = 0.5 ) This function returns a matrix of significant genes as well as their estimated effect size (difference between observed and expected coefficient of variation), and their significance as raw p.values and FDR corrected q.values. For now we will just keep the names of the significant HVG genes. HVG_genes <- Brennecke_HVG$Gene Exercise 3 How many genes were signifcant using BrenneckeGetVariableGenes? ## [1] 1303 7.8.1.2 Highly Variable Genes - simpleSingleCell method The Bioconductor simpleSingleCell workflow has a great deal of excellent material to help your analyses. Here, we show how to identify highly variable genes using functionality from the scran package. This method assumes that technical variance is captured by a Poisson distribution, and that variance beyond that explained by a Poisson distribution represents biological variance of interest. This approach separates the biological component of the variance from the technical component and thus can rank genes based on their “biological†variance. This model also provides p-values (with FDR adjustment) that can be used to identify the set of “significant†highly variable genes at a given significance level. ### mamke a technical trend of variance based on Poisson var.fit <- trendVar(deng, parametric=TRUE, loess.args=list(span=0.4), use.spikes = FALSE) var.out <- decomposeVar(deng, var.fit) plot(var.out$mean, var.out$total, pch=16, cex=0.6, xlab="Mean log-expression", ylab="Variance of log-expression") points(var.out$mean[isSpike(deng)], var.out$total[isSpike(deng)], col="red", pch=16) curve(var.fit$trend(x), col="dodgerblue", add=TRUE, lwd=2) chosen.genes <- order(var.out$bio, decreasing=TRUE)[1:10] plotExpression(deng, rownames(var.out)[chosen.genes], point_alpha=0.5, jitter_type="jitter") top.dec <- var.out[order(var.out$bio, decreasing=TRUE),] # the highly variable genes with largest biological components head(top.dec) ## DataFrame with 6 rows and 6 columns ## mean total bio ## <numeric> <numeric> <numeric> ## Obox6 7.0852220910669 39.7469062194493 27.7222625676479 ## BC053393 6.23846872763624 36.7868129334449 22.7409221497424 ## Krt18 8.06957111931139 30.7163256353151 21.3338604240051 ## Upp1 6.70443458808406 32.9196031154138 19.9537242012223 ## Akr1b8 9.31035205790714 25.9351262454146 19.563014227718 ## Spp1 5.52672835522051 34.8140952020968 19.5492807120572 ## tech p.value FDR ## <numeric> <numeric> <numeric> ## Obox6 12.0246436518013 6.67046481158613e-67 4.98750653962295e-64 ## BC053393 14.0458907837025 1.89687518927716e-40 5.90955657926056e-38 ## Krt18 9.38246521130992 1.28064383710762e-65 9.26649093876163e-63 ## Upp1 12.9658789141915 1.39045180596497e-37 3.89865305745004e-35 ## Akr1b8 6.37211201769662 2.70679041028919e-99 5.51963779029062e-96 ## Spp1 15.2648144900397 9.4641203490752e-29 1.76908069625088e-26 simplesinglecell_genes <- rownames(top.dec)[top.dec$FDR < 0.001] table(top.dec$FDR < 0.001) ## ## FALSE TRUE ## 21124 1307 If we set an FDR threshold of 0.1%, this approach identifies around 1300 highly variable genes. The output of this variance modelling can be used as input to a denoisePCA() function to compute “denoised†principal components for clustering and other downstream analyses (details not shown here; please see the simpleSingleCell workflow). 7.8.1.3 High Dropout Genes An alternative to finding HVGs is to identify genes with unexpectedly high numbers of zeros. The frequency of zeros, known as the “dropout rateâ€, is very closely related to expression level in scRNASeq data. Zeros are the dominant feature of single-cell RNASeq data, typically accounting for over half of the entries in the final expression matrix. These zeros predominantly result from the failure of mRNAs failing to be reversed transcribed (Andrews and Hemberg, 2016). Reverse transcription is an enzyme reaction thus can be modelled using the Michaelis-Menten equation: \\[P_{dropout} = 1 - S/(K + S)\\] where \\(S\\) is the mRNA concentration in the cell (we will estimate this as average expression) and \\(K\\) is the Michaelis-Menten constant. Because the Michaelis-Menten equation is a convex non-linear function, genes which are differentially expression across two or more populations of cells in our dataset will be shifted up/right of the Michaelis-Menten model (see Figure below). K <- 49 S_sim <- 10^seq(from = -3, to = 4, by = 0.05) # range of expression values MM <- 1 - S_sim / (K + S_sim) plot( S_sim, MM, type = "l", lwd = 3, xlab = "Expression", ylab = "Dropout Rate", xlim = c(1,1000) ) S1 <- 10 # Mean expression in population 1 P1 <- 1 - S1 / (K + S1) # Dropouts for cells in condition 1 S2 <- 750 # Mean expression in population 2 P2 <- 1 - S2 / (K + S2) # Dropouts for cells in condition 2 points( c(S1, S2), c(P1, P2), pch = 16, col = "grey85", cex = 3 ) mix <- 0.5 # proportion of cells in condition 1 points( S1 * mix + S2 * (1 - mix), P1 * mix + P2 * (1 - mix), pch = 16, col = "grey35", cex = 3 ) Note: add log="x" to the plot call above to see how this looks on the log scale, which is used in M3Drop figures. Exercise 4: Produce the same plot as above with different expression levels (S1 & S2) and/or mixtures (mix). We use M3Drop to identify significant outliers to the right of the MM curve. We also apply 1% FDR multiple testing correction: M3Drop_genes <- M3DropFeatureSelection( expr_matrix, mt_method = "fdr", mt_threshold = 0.01 ) M3Drop_genes <- M3Drop_genes$Gene An alternative method is contained in the M3Drop package that is tailored specifically for UMI-tagged data which generally contains many zeros resulting from low sequencing coverage in addition to those resulting from insufficient reverse-transcription. This model is the Depth-Adjusted Negative Binomial (DANB). This method describes each expression observation as a negative binomial model with a mean related to both the mean expression of the respective gene and the sequencing depth of the respective cell, and a variance related to the mean-expression of the gene. This method is designed to model the raw counts in a dataset directly, and we can extract the appropriate matrix using the “NBumiConvertData†function similar to M3Drop. However, we have an extra step for fitting the model since that is the slowest step of the method and we are currently working on additional methods that can use this model information for other things (such as normalization, co-expression testing, highly variable gene detection). This method includes a binomial test of the significance of each feature, but since the Deng data is not UMI counts the model does not fit the noise sufficiently and far too many genes will be called as significant. Thus we will take the top 1500 by effect size. deng_int <- NBumiConvertData(deng) ## [1] "Removing 1134 undetected genes." DANB_fit <- NBumiFitModel(deng_int) # DANB is fit to the raw count matrix # Perform DANB feature selection DropFS <- NBumiFeatureSelectionCombinedDrop(DANB_fit, method="fdr", qval.thresh=0.01, suppress.plot=FALSE) DANB_genes <- DropFS[1:1500,]$Gene Exercise 5 How many genes were signifcant using NBumiFeatureSelectionCombinedDrop? ## [1] 10694 7.8.1.4 Residual variance from a (regularized) negative binomial model In the normalization chapter we introduced the sctransform approach to using Pearson residuals from an regularized negative binomial generalized linear model to normalize scRNA-seq data. The residual variance of genes (i.e. the variance of the Pearson residuals) provides a way to identify highly variable genes, where the “variance†is decoupled from the average level of expression of the gene. The residual variance is easily accessible from the sctransform output as we show below. First, we run sctransform as we did previously. deng_sparse <- as(counts(deng), "dgCMatrix") ### Genes expressed in at least 5 cells will be kept sctnorm_data <- sctransform::vst(umi = deng_sparse, min_cells = 1, cell_attr = as.data.frame(colData(deng)), latent_var = "log10_total_counts_endogenous") sctnorm_data$model_str ## [1] "y ~ log10_total_counts_endogenous" library(ggplot2) ggplot(sctnorm_data$gene_attr, aes(residual_variance)) + geom_histogram(binwidth=0.1) + geom_vline(xintercept=1, color='red') + xlim(0, 10) + theme_bw() sctnorm_data$gene_attr$label <- rownames(sctnorm_data$gene_attr) ggplot(sctnorm_data$gene_attr, aes(x = gmean, y=residual_variance)) + geom_point(alpha = 0.6) + geom_point(colour = "firebrick2", data = sctnorm_data$gene_attr[sctnorm_data$gene_attr$residual_variance > 3,]) + scale_x_log10() + geom_hline(yintercept = 1, size = 3, color = "dodgerblue") + geom_label(aes(label = label), data = sctnorm_data$gene_attr[sctnorm_data$gene_attr$residual_variance > 30,]) + theme_bw() sct_genes <- rownames(sctnorm_data$gene_attr)[sctnorm_data$gene_attr$residual_variance > 4] table(sctnorm_data$gene_attr$residual_variance > 4) ## ## FALSE TRUE ## 20077 1220 If we set a (relatively arbitrary) threshold of a residual variance greater than three marking a “highly variable geneâ€, then we identify around 2000 highly variable genes with this sctransform approach. [NB: the deng data is extremely high depth for scRNA-seq data, so not the most applicable dataset for sctransform, but we include this analysis here to demonstrate the method rather than make any evaluation of its performance in general.] Although not explored here, the deviance statistic from the regularized NB GLM fit provides a natural way to select informative features for downstream analyses. The deviance is a goodness-of-fit statistic for a statistical model. As Wikipedia notes, deviance is a generalization of the idea of using the sum of squares of residuals in ordinary least squares to cases where model-fitting is achieved by maximum likelihood. It plays an important role in exponential dispersion models and generalized linear models, such as the negative binomial model. However, sctransform does not seem set up to use the model deviance to select informative features, but we expect this could be a direction the field goes in the near future. Keep an eye out! 7.8.2 Correlated Expression A completely different approach to feature selection is to use gene-gene correlations. This method is based on the idea that multiple genes will be differentially expressed between different cell-types or cell-states. Genes which are expressed in the same cell-population will be positively correlated with each other where as genes expressed in different cell-populations will be negatively correated with each other. Thus important genes can be identified by the magnitude of their correlation with other genes. The limitation of this method is that it assumes technical noise is random and independent for each cell, thus shouldn’t produce gene-gene correlations, but this assumption is violated by batch effects which are generally systematic between different experimental batches and will produce gene-gene correlations. As a result it is more appropriate to take the top few thousand genes as ranked by gene-gene correlation than consider the significance of the correlations. cor_feat <- M3Drop::corFS(expr_matrix) Cor_genes <- names(cor_feat)[1:1500] 7.8.3 Comparing Methods We can check whether the identified features really do represent genes differentially expressed between cell-types in this dataset. M3DropExpressionHeatmap( M3Drop_genes, expr_matrix, cell_labels = celltype_labs ) We can also consider how consistent each feature selection method is with the others using the Jaccard Index: J <- sum(M3Drop_genes %in% HVG_genes)/length(unique(c(M3Drop_genes, HVG_genes))) Exercise 6 Plot the expression of the features for each of the other methods. Which appear to be differentially expressed? How consistent are the different methods for this dataset? Jaccard index comparison of sets of informative features: list_of_features <- list( M3Drop_genes, DANB_genes, HVG_genes, simplesinglecell_genes, sct_genes ) Out <- matrix( 0, ncol = length(list_of_features), nrow = length(list_of_features) ) for(i in 1:length(list_of_features) ) { for(j in 1:length(list_of_features) ) { Out[i,j] <- sum(list_of_features[[i]] %in% list_of_features[[j]])/ length(unique(c(list_of_features[[i]], list_of_features[[j]]))) } } colnames(Out) <- rownames(Out) <- c("M3Drop", "DANB", "Brennecke", "simpleSingleCell", "sctransform") Out ## M3Drop DANB Brennecke simpleSingleCell ## M3Drop 1.0000000 0.38019061 0.4152905 0.14615908 ## DANB 0.3801906 1.00000000 0.2283346 0.09868187 ## Brennecke 0.4152905 0.22833459 1.0000000 0.15019157 ## simpleSingleCell 0.1461591 0.09868187 0.1501916 1.00000000 ## sctransform 0.2343257 0.21801471 0.2718985 0.26034913 ## sctransform ## M3Drop 0.2343257 ## DANB 0.2180147 ## Brennecke 0.2718985 ## simpleSingleCell 0.2603491 ## sctransform 1.0000000 7.8.4 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] parallel stats4 stats graphics grDevices utils datasets ## [8] methods base ## ## other attached packages: ## [1] scran_1.12.1 scater_1.12.2 ## [3] ggplot2_3.2.1 Polychrome_1.2.3 ## [5] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [7] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [9] Biobase_2.44.0 GenomicRanges_1.36.1 ## [11] GenomeInfoDb_1.20.0 IRanges_2.18.3 ## [13] S4Vectors_0.22.1 BiocGenerics_0.30.0 ## [15] RColorBrewer_1.1-2 M3Drop_1.10.0 ## [17] numDeriv_2016.8-1.1 matrixStats_0.55.0 ## [19] scRNA.seq.funcs_0.1.0 ## ## loaded via a namespace (and not attached): ## [1] Rtsne_0.15 ggbeeswarm_0.6.0 ## [3] colorspace_1.4-1 dynamicTreeCut_1.63-1 ## [5] htmlTable_1.13.2 XVector_0.24.0 ## [7] base64enc_0.1-3 BiocNeighbors_1.2.0 ## [9] rstudioapi_0.10 listenv_0.7.0 ## [11] codetools_0.2-16 splines_3.6.0 ## [13] knitr_1.25 Formula_1.2-3 ## [15] cluster_2.1.0 sctransform_0.2.0 ## [17] compiler_3.6.0 dqrng_0.2.1 ## [19] backports_1.1.4 assertthat_0.2.1 ## [21] Matrix_1.2-17 lazyeval_0.2.2 ## [23] limma_3.40.6 BiocSingular_1.0.0 ## [25] acepack_1.4.1 htmltools_0.3.6 ## [27] tools_3.6.0 rsvd_1.0.2 ## [29] igraph_1.2.4.1 gtable_0.3.0 ## [31] glue_1.3.1 GenomeInfoDbData_1.2.1 ## [33] reshape2_1.4.3 dplyr_0.8.3 ## [35] Rcpp_1.0.2 bbmle_1.0.20 ## [37] gdata_2.18.0 nlme_3.1-139 ## [39] DelayedMatrixStats_1.6.1 xfun_0.9 ## [41] stringr_1.4.0 globals_0.12.4 ## [43] irlba_2.3.3 gtools_3.8.1 ## [45] hypergeo_1.2-13 statmod_1.4.32 ## [47] future_1.14.0 edgeR_3.26.8 ## [49] zlibbioc_1.30.0 MASS_7.3-51.1 ## [51] scales_1.0.0 yaml_2.2.0 ## [53] gridExtra_2.3 rpart_4.1-15 ## [55] latticeExtra_0.6-28 stringi_1.4.3 ## [57] checkmate_1.9.4 orthopolynom_1.0-5 ## [59] contfrac_1.1-12 caTools_1.17.1.2 ## [61] rlang_0.4.0 pkgconfig_2.0.3 ## [63] moments_0.14 bitops_1.0-6 ## [65] evaluate_0.14 lattice_0.20-38 ## [67] purrr_0.3.2 htmlwidgets_1.3 ## [69] labeling_0.3 cowplot_1.0.0 ## [71] tidyselect_0.2.5 deSolve_1.24 ## [73] plyr_1.8.4 magrittr_1.5 ## [75] bookdown_0.13 R6_2.4.0 ## [77] gplots_3.0.1.1 Hmisc_4.2-0 ## [79] pillar_1.4.2 foreign_0.8-70 ## [81] withr_2.1.2 mgcv_1.8-28 ## [83] survival_2.43-3 scatterplot3d_0.3-41 ## [85] RCurl_1.95-4.12 nnet_7.3-12 ## [87] future.apply_1.3.0 tibble_2.1.3 ## [89] crayon_1.3.4 KernSmooth_2.23-15 ## [91] rmarkdown_1.15 viridis_0.5.1 ## [93] locfit_1.5-9.1 grid_3.6.0 ## [95] data.table_1.12.2 reldist_1.6-6 ## [97] digest_0.6.21 elliptic_1.4-0 ## [99] munsell_0.5.0 beeswarm_0.2.3 ## [101] viridisLite_0.3.0 vipor_0.4.5 References "],
+["handling-sparsity.html", "8 Handling sparsity 8.1 Challenge: Handling sparsity in single-cell RNA sequencing 8.2 Status 8.3 Open problems", " 8 Handling sparsity The material below is reproduced from (Laehnemann et al. 2019): Laehnemann,D. et al. (2019) 12 Grand challenges in single-cell data science PeerJ Preprints. link 8.1 Challenge: Handling sparsity in single-cell RNA sequencing A comprehensive characterization of the transcriptional status of individual cells enables us to gain full insight into the interplay of transcripts within single cells. However, scRNA-seq measurements typically suffer from large fractions of observed zeros, where a given gene in a given cell has no unique molecule identifiers or reads mapping to it. These observed zero values can represent either missing data (i.e.~a gene is expressed but not detected by the sequencing technology) or true absence of expression. The proportion of zeros, or degree of sparsity, is thought to be due to imperfect reverse transcription and amplification, and other technical limitations (), and depends on the scRNA-seq platform used, the sequencing depth and the underlying expression level of the gene. The term ``dropout’’ is often used to denote observed zero values in scRNA-seq data, but this term conflates zero values attributable to methodological noise and biologically-true zero expression, so we recommend against its use as a catch-all term for observed zeros. Sparsity in scRNA-seq data can hinder downstream analyses, but it is challenging to model or handle it appropriately, and thus, there remains an ongoing need for improved methods. Sparsity pervades all aspects of scRNA-seq data analysis, but here we focus on the linked problems of learning latent spaces and “imputing†expression values from scRNA-seq data. Imputation, “data smoothing†and “data reconstruction†approaches are closely linked to the challenges of normalization. But whereas normalization generally aims to make expression values between cells more comparable to each other, imputation and data smoothing approaches aim to achieve adjusted data values that—it is hoped—better represent the true expression values. Imputation methods could therefore be used for normalization, but do not entail all possible or useful approaches to normalization. 8.2 Status The imputation of missing values has been very successful for genotype data. Crucially, when imputing genotypes we often know which data are missing (e.g.~when no genotype call is possible due to no coverage of a locus, although see section for the challenges with data) and rich sources of external information are available (e.g.~haplotype reference panels). Thus, genotype imputation is now highly accurate and a commonly-used step in data processing for genetic association studies . The situation is somewhat different for scRNA-seq data, as we do not routinely have external reference information to apply. In addition, we can never be sure which observed zeros represent “missing data†and which accurately represent a true gene expression level in the cell . Observed zeros can either represent “biological†zeros, i.e.~those present because the true expression level of a gene in a cell was zero. Or they they are the result of methodological noise, which can arise when a gene has true non-zero expression in a cell, but no counts are observed due to failures at any point in the complicated process of processing mRNA transcripts in cells into mapped reads. Such noise can lead to artefactual zero that are either more systematic (e.g.~sequence-specific mRNA degradation during cell lysis) or that occur by chance (e.g.~barely expressed transcripts that at the same expression level will sometimes be detected and sometimes not, due to sampling variation, e.g~in the sequencing). The high degree of sparsity in scRNA-seq data therefore arises from technical zeros and true biological zeros, which are difficult to distinguish from one another. In general, two broad approaches can be applied to tackle this problem of sparsity: use statistical models that inherently model the sparsity, sampling variation and noise modes of scRNA-seq data with an appropriate data generative model; or attempt to ``impute’’ values for observed zeros (ideally the technical zeros; sometimes also non-zero values) that better approximate the true gene expression levels. We prefer to use the first option where possible, and for many single-cell data analysis problems, statistical models appropriate for sparse count data exist and should be used (e.g.~for differential expression analysis). However, there are many cases where the appropriate models are not available and accurate imputation of technical zeros would allow better results from downstream methods and algorithms that cannot handle sparse count data. For example, imputation could be particularly useful for many dimension reduction, visualization and clustering applications. It is therefore desirable to improve both statistical methods that work on sparse count data directly and approaches for data imputation for scRNA-seq data, whether by refining existing techniques or developing new ones (see also ). We define three broad (and sometimes overlapping) categories of methods that can be used to ``impute’’ scRNA-seq data in the absence of an external reference: Model-based imputation methods of technical zeros use probabilistic models to identify which observed zeros represent technical rather than biological zeros and aim to impute expression levels just for these technical zeros, leaving other observed expression levels untouched; or Data-smoothing methods define sets of “similar†cells (e.g.~cells that are neighbors in a graph or occupy a small region in a latent space) and adjust expression values for each cell based on expression values in similar cells. These methods adjust all expression values, including technical zeros, biological zeros and observed non-zero values. Data-reconstruction methods typically aim to define a latent space representation of the cells. This is often done through matrix factorization (e.g.~principal component analysis) or, increasingly, through machine learning approaches (e.g.~variational autoencoders that exploit deep neural networks to capture non-linear relationships). Although a broad class of methods, both matrix factorization methods and autoencoders (among others) are able to “reconstruct†the observed data matrix from low-rank or simplified representations. The reconstructed data matrix will typically no longer be sparse (with many zeros) and the implicitly “imputed†data can be used for downstream applications that cannot handle sparse count data. The first category of methods generally seeks to infer a probabilistic model that captures the data generation mechanism. Such generative models can be used to identify, probabilistically, which observed zeros correspond to technical zeros (to be imputed) and which correspond to biological zeros (to be left alone). There are many model-based imputation methods already available that use ideas from clustering (e.g.~k-means), dimension reduction, regression and other techniques to impute technical zeros, oftentimes combining ideas from several of these approaches. These include SAVER , ScImpute , bayNorm , scRecover , and VIPER . Clustering methods that implicitly impute values, such as CIDR and BISCUIT , are closely related to this class of imputation methods. Data-smoothing methods, which adjust all gene expression levels based on expression levels in “similar†cells, have also been proposed to handle imputation problems. We might regard these approaches as “denoising†methods. To take a simplified example, we might imagine that single cells originally refer to points in two-dimensional space, but are likely to describe a one-dimensional curve; projecting data points onto that curve eventually allows imputation of the “missing†values (but all points are adjusted, or smoothed, not just true technical zeros). Prominent data-smoothing approaches to handling sparse counts include: diffusion-based MAGIC k-nearest neighbor-based knn-smooth network diffusion-based netSmooth clustering-based DrImpute locality sensitive imputation in LSImpute A major task in the analysis of high-dimensional single-cell data is to find low-dimensional representations of the data that capture the salient biological signals and render the data more interpretable and amenable to further analyses. As it happens, the matrix factorization and latent-space learning methods used for that task also provide another route for imputation through their ability to reconstruct the observed data matrix from simplified representations of it. PCA is one such standard matrix factorization method that can be applied to scRNA-seq data (preferably after suitable data normalization) as are other widely-used general statistical methods like ICA and NMF. As (linear) matrix factorization methods, PCA, ICA and NMF decompose the observed data matrix into a “small†number of factors in two low-rank matrices, one representing cell-by-factor weights and one gene-by-factor loadings. Many matrix factorization methods with tweaks for single-cell data have been proposed in recent years, including: ZIFA, a zero-inflated factor analysis f-scLVM, a sparse Bayesian latent variable model GPLVM, a Gaussian process latent variable model ZINB-WaVE, a zero-inflated negative binomial factor model scCoGAPS, an extension of consensus , a meta-analysis approach to pCMF, probabilistic count matrix factorization with a Poisson model SDA, sparse decomposition of arrays; another sparse Bayesian method . Some data reconstruction approaches have been specifically proposed for imputation, including: ENHANCE, denoising with an aggregation step ALRA, SVD with adaptive thresholding scRMD, robust matrix decomposition Recently, machine learning methods have emerged that apply autoencoders and deep neural networks ) or ensemble learning ) to impute expression values. Additionally, many deep learning methods have been proposed for single-cell data analysis that can, but need not, use probabilistic data generative processes to capture low-dimensional or latent space representations of a dataset. Even if imputation is not a main focus, such methods can generate ``imputed’’ expression values as an upshot of a model primarily focused on other tasks like learning latent spaces, clustering, batch correction, or visualization (and often several of these tasks simultaneously). The latter set includes tools such as: DCA, an autoencoder with a zero-inflated negative binomial distribution scVI, a variational autoencoder with a zero-inflated negative binomial model LATE VASC compscVAE scScope Tybalt SAUCIE scvis net-SNE BERMUDA, focused on batch correction DUSC Expression Saliency others Besides the three categories described above, a small number of scRNA-seq imputation methods have been developed to incorporate information external to the current dataset for imputation. These include: ADImpute , which uses gene regulatory network information from external sources; SAVER-X , a transfer learning method for denoising and imputation that can use information from atlas-type resources; and methods that borrow information from matched bulk RNA-seq data like URSM and SCRABBLE . 8.3 Open problems A major challenge in this context is the circularity that arises when imputation solely relies on information that is internal to the imputed dataset. This circularity can artificially amplify the signal contained in the data, leading to inflated correlations between genes and/or cells. In turn, this can introduce false positives in downstream analyses such as differential expression testing and gene network inference . Handling batch effects and potential confounders requires further work to ensure that imputation methods do not mistake unwanted variation from technical sources for biological signal. In a similar vein, single-cell experiments are affected by various uncertainties (see ). Approaches that allow quantification and propagation of the uncertainties associated with expression measurements (), may help to avoid problems associated with ‘overimputation’ and the introduction of spurious signals noted by . To avoid this circularity, it is important to identify reliable external sources of information that can inform the imputation process. One possibility is to exploit external reference panels (like in the context of genetic association studies). Such panels are not generally available for scRNA-seq data, but ongoing efforts to develop large scale cell atlases could provide a valuable resource for this purpose. Systematic integration of known biological network structures is desirable and may also help to avoid circularity. A possible approach is to encode network structure knowledge as prior information, as attempted in netSmooth and ADImpute. Another alternative solution is to explore complementary types of data that can inform scRNA-seq imputation. This idea was adopted in SCRABBLE and URSM, where an external reference is defined by bulk expression measurements from the same population of cells for which imputation is performed. Yet another possibility could be to incorporate orthogonal information provided by different types of molecular measurements (see ). Methods designed to integrate multi-omics data could then be extended to enable scRNA-seq imputation, e.g.~through generative models that explicitly link scRNA-seq with other data types or by inferring a shared low-dimensional latent structure that could be used within a data-reconstruction framework. With the proliferation of alternative methods, comprehensive benchmarking is urgently required as for all areas of single-cell data analysis . Early attempts by and provide valuable insights into the performance of methods available at the time. But many more methods have since been proposed and even more comprehensive benchmarking platforms are needed. Many methods, especially those using deep learning, depend strongly on choice of hyperparameters . There, more detailed comparisons that explore parameter spaces would be helpful, extending work like that from comparing dimensionality reduction methods. Learning from exemplary benchmarking studies , it would be immensely beneficial to develop a community-supported benchmarking platform with a wide-range of synthetic and experiment ground-truth datasets (or as close as possible, in the case of experimental data) and a variety of thoughtful metrics for evaluating performance. Ideally, such a benchmarking platform would remain dynamic beyond an initial publication to allow ongoing comparison of methods as new approaches are proposed. Detailed benchmarking would also help to establish when normalization methods derived from explicit count models may be preferable to imputation. Finally, scalability for large numbers of cells remains an ongoing concern for imputation, data smoothing and data reconstruction methods, as for all high-throughput single-cell methods and software (see ). References "],
+["latent-spaces.html", "9 Latent spaces 9.1 Dimensionality reduction 9.2 Matrix factorization and factor analysis 9.3 Autoencoders", " 9 Latent spaces In many cases we may like to think of cells sitting in a low-dimensional, “latent†space that captures relationships between cells more intuitively than the very high-dimensional gene expression space. library(scater) library(SingleCellExperiment) library(glmpca) library(ggplot2) library(Polychrome) library(slalom) 9.1 Dimensionality reduction Why? - Reduce Curse of Dimensionality problems - Increase storage and computational efficiency - Visualize Data in 2D or 3D Difficulty: Need to decide how many dimension to keep. 9.1.1 PCA: Principal component analysis 9.1.1.1 (traditional) PCA PCA is a linear feature extraction technique. It performs a linear mapping of the data to a lower-dimensional space in such a way that the variance of the data in the low-dimensional representation is maximized. It does so by calculating the eigenvectors from the covariance matrix. The eigenvectors that correspond to the largest eigenvalues (the principal components) are used to reconstruct a significant fraction of the variance of the original data. In simpler terms, PCA combines your input features in a specific way that you can drop the least important feature while still retaining the most valuable parts of all of the features. As an added benefit, each of the new features or components created after PCA are all independent of one another. 9.1.1.1.1 Basic ideas of PCA Idea1: Dropping dimensions = Projection onto lower dimensional space   Which dimension should we keep? Idea2: more variantion = more information   But what if the plot is not readily to be projected onto either X or Y-axis? 9.1.1.1.2 Steps of PCA Step1: Rotation We want a set of axises (called Principle Components) that satisfies: -The 1st axis points to the direction where variantion is maximized, and so on -They are orthogonal to each other It can be shown that the eigen vectors of the covariance matrix satisfy these conditions, and the eigen vector according to the largest eigen value accounts for the most variation. Step2: Projection (3-dimesion \\(\\rightarrow\\) 2-dimension) 9.1.1.1.3 An example of PCA deng <- readRDS("data/deng/deng-reads.rds") my_color1 <- createPalette(6, c("#010101", "#ff0000"), M=1000) names(my_color1) <- unique(as.character(deng$cell_type1)) my_color2 <- createPalette(10, c("#010101", "#ff0000"), M=1000) names(my_color2) <- unique(as.character(deng$cell_type2)) deng <- runPCA(deng, ncomponents = 2) plotPCA(deng, colour_by = "cell_type1") + scale_fill_manual(values = my_color1) plotPCA(deng, colour_by = "cell_type2") + scale_fill_manual(values = my_color2) 9.1.1.1.4 Advantages and limits of PCA: Advantages: fast, easy to use and intuitive. Limits: Can lead to local inconsistency, i.e. far away points can become nearest neighbours. It is a linear projection, like casting a shadow, meaning it can’t capture non-linear dependencies. For instance, PCA would not be able to “unroll†the following structure. 9.1.1.2 GLM-PCA (Collins, Dasgupta, and Schapire 2002) (Townes et al. 2019) GLM-PCA is a generalized version of the traditional PCA. The traditional PCA implicitly imposes an assumption of Gaussian distribution. The purpose of GLM-PCA is to loosen this condition to accommodate other distributions of the exponential family. Why does PCA assume a Gaussian distribution? Let \\(x_1, \\dots, x_n \\in \\mathcal{R}^d\\) be the \\(d\\)-dimensional data observed. PCA is looking for their projections onto a subspace: \\(u_1, \\dots, u_n\\), such that \\(\\sum_{i = 1}^n \\Vert x_i - u_i\\Vert^2\\) is minimized. This objective function can be interpretated in two ways: Interpretation 1: the variance of the projections/principal components: \\(\\sum_{i} \\Vert u_i \\Vert ^2\\), if the data is centered at the origin (\\(\\sum_{i} x_i = 0\\)); Interpretation 2: Each point \\(x_i\\) is thought of as a random draw from a probability distribution centered at \\(u_i\\). If we take this probability as a unit Gaussian, that is \\(x_i \\sim N(u_i, 1)\\), then the likelihood is \\(\\prod_{i = 1}^n \\exp (- \\Vert x_i - u_i\\Vert^2)\\), and the negative log likelihood is exactly the objective function. This assumption is often inappropriate for non-Gaussian distributed data, for example discrete data. Therefore, GLM-PCA generalizes the Gaussian likelihood into a likelihood of any exponential-family distribution, and applies appropriate link functions to \\(u_i\\)’s in the same as a GLM does to non-Gaussian responses. The following example compares GLM-PCA with Poisson marginals to the traditional PCA, which is identical to the result from plotPCA. ## GLM-PCA Y <- assay(deng, "counts") Y <- Y[rowSums(Y) > 0, ] system.time(res1 <- glmpca(Y, L=2, fam="poi", verbose=TRUE)) ## user system elapsed ## 109.838 29.499 139.356 pd1 <- data.frame(res1$factors, dimreduce="glmpca-poisson", clust = factor(deng$cell_type2)) ## traditional PCA pd2 <- data.frame(reducedDim(deng, "PCA"), dimreduce="runPCA", clust = factor(deng$cell_type2)) colnames(pd2) <- colnames(pd1) ## plot pd <- rbind(pd1, pd2) ggplot(pd, aes(x = dim1, y = dim2, colour = clust)) + geom_point(size=2) + facet_wrap(~dimreduce, scales="free", nrow=3) + scale_color_manual(values = my_color2) + theme_bw() Let us compare GLM-PCA and standard PCA (using normalized log-counts data) on the Tung data, before cells have been QC’d. Repeat these plots with the QC’d Tung data. 9.1.2 tSNE: t-Distributed Stochastic Neighbor Embedding t-SNE (Maaten and Hinton 2008) is an advanced version of the original SNE algorithm. (Hinton and Roweis 2003) 9.1.2.1 Motivation The weakness of PCA is the motivation behind the SNE algorithm. PCA focuses on global covariance structrue, which lead to local inconsistency. SNE aims to preserve local strucutrue, or preserving the relationships among data points (ie. similar points remain similar; distinct points remain distinct). Unlike PCA, SNE is not limited to linear projections, which makes it suited to all sorts of datasets, including the swiss-roll data we have seen above. t-SNE solves the crowding issue of the original SNE. 9.1.2.2 original SNE SNE minimizes the divergence between two distributions: a distribution that measures pairwise similarities of the input objects and a distribution that measures pairwise similarities of the corresponding low-dimensional points in the embedding. Goal: preserve neighbourhoods. Soft neighbourhood: For each data point \\(x_i\\), the \\(i\\rightarrow j\\) probability is the probability that point \\(x_i\\) chooses \\(x_j\\) as its neighbour: \\(p_{j|i} \\propto \\exp(-\\Vert x_i - x_j \\Vert^2/2\\delta^2)\\). (This can be thought of as the probability of \\(x_j\\) in \\(N(x_i, \\delta)\\)) \\(\\Vert x_i - x_j \\Vert^2\\) is the Euclidean distance: The closer \\(x_i\\) and \\(x_j\\) are, the larger \\(p_{j|i}\\) is. \\(\\delta^2\\) denotes the vairance, it sets the size of the neighbourhood.  Very low \\(\\Rightarrow\\) all the probability is in the nearest neighbour  Very high \\(\\Rightarrow\\) uniform weights We generally want \\(\\delta^2\\) to be small for points in densely populated areas and large for sparse areas, so that the number of neighbours of all data points are roughly the same. It is computed with a user specified parameter (perplexity) which indicates the effective number of neighbours for a data point. Similarity matrix Collect \\(p_{j|i}\\) for all data points into a matrix, then this matrix preserves the key information of the local neighbourhood structure. How SNE works: Given high-dimensional data \\(X = \\{x_1, \\dots, x_n \\in \\mathcal{R}^d \\}\\), obtain the similarity matrix \\(P\\); Let \\(Y =\\{y_1, \\dots, y_n \\in \\mathcal{R}^2\\}\\) be a 2-dimensional data, the coordinates for visualization. Obtain a smilarity matrix of \\(Y\\), denoted as \\(Q\\), in the same way as \\(X\\), except that \\(\\delta^2\\) is fixed at 1/2. Look for \\(Y\\) such that \\(Q\\) is as similar to \\(P\\) as possible. Measurement of how similar two distributions is: Kullback-Leibler divergence (The definition of this cost function and the optimization procedure are out of the scope of this course) 9.1.2.3 t-SNE The motivation of t-SNE is to solve one of the main issues of SNE, the crowding problem. Crowding problem: In high dimension we have more room, points can have a lot of different neighbours that are far apart from each other. But in low dimensions, we don’t have enough room to accommodate all neighbours. Forexample, in 2D a point can have a few neighbors at distance one all far from each other - what happens when we embed in 1D? Solution: Change the distribution of the low-dimensional data \\(Q\\) into a student-t distribution. Recall that SNE is trying to minimize the dissimilarity of \\(P\\) and \\(Q\\), and \\(P\\) has a Gaussian distribution. So for a pair of points (\\(x_i\\) and \\(x_j\\) in high-dimension, \\(y_i\\) and \\(y_j\\) in low-dimension) to reach the same probability, the distance between \\(y_i\\) and \\(y_j\\) would be much larger (i.e. much farther apart). 9.1.2.4 Example of t-SNE: muraro <- readRDS("data/pancreas/muraro.rds") tmp <- runTSNE(muraro, perplexity = 3) plotTSNE(tmp, colour_by = "cell_type1") tmp <- runTSNE(muraro, perplexity = 50) plotTSNE(tmp, colour_by = "cell_type1") 9.1.2.5 Limits of t-SNE: Not a convex problem, i.e. the cost function has multiple local minima. Non-deterministic. Require specification of very important parameters, e.g. perplexity. Coordinates after embedding have no meaning. Therefore can merely be used for visualization. (See here for more pitfalls of using t-SNE.) 9.1.3 Manifold methods 9.1.3.1 UMAP: Uniform Manifold Approximation and Projection (McInnes, Healy, and Melville 2018) 9.1.3.1.1 Advantages of UMAP over t-SNE: faster deterministic better at preserving clusters 9.1.3.1.2 High level description Construct a topological presentation of the high-dimensional data (in this case a weighted \\(k\\)-NN graph) Given a low-dimensional data, construct a graph in the similar way Minimize the dissimilarity between the twp graphs. (Look for the low-dimensional data whose graph is the closest to that of the high-dimensional data) 9.1.3.1.3 Some details How the weighted graph is built? Obtain dissimilarity from the input distance: For each data point \\(x_i\\), find its \\(k\\) nearest neighbours: \\(x_{i_1}, \\dots, x_{i_k}\\). Let \\(d(x_i, x_{i_j})\\) be the input or original distance between \\(x_i\\) and \\(x_{i_j}\\), and \\(\\rho_i = \\min[d(x_i, x_{i_j}); 1 \\leq j \\leq k]\\) be the distance between \\(x_i\\) and its nearest neighbour. Then the dissimilarity between \\(x_i\\) and \\(x_{i_j}\\) is measured simply by subtracting the original distance by \\(\\rho_i\\): \\(\\tilde{d}(x_i, x_{i_j}) = d(x_i, x_{i_j}) - \\rho_i\\). Tranform dissimilarity to similarity: \\(s(x_i, x_{i_j}) = \\exp[-\\tilde{d}(x_i, x_{i_j})] - c_i\\), where \\(c_i\\) is a scale factor to ensure \\(\\sum_{j = 1}^k s(x_i, x_{i_j})\\) is a constant for all \\(i\\). Similarity itself can serve as edge weights, but this similarity is not symmetrical, i.e. \\(s(x_i, x_{i_j}) \\neq s(x_{i_j}, x_i)\\). To be able to project this onto an undirected graph, we need to solve the disagreement between \\(s(x_i, x_{i_j})\\) and \\(s(x_{i_j}, x_i)\\). Obtain weights: \\(w(x_i, x_{i_j}) = s(x_i, x_{i_j}) + s(x_{i_j}, x_i) - s(x_i, x_{i_j}) * s(x_{i_j}, x_i)\\) (Interpretation: \\(P(A \\cup B ) = P(A) + P(B) - P(A)P(B)\\) if \\(A\\) and \\(B\\) are independent) How the dissimilarity between graphs are measured? Cross entropy 9.1.3.1.4 Example of UMAP muraro <- runUMAP(muraro) plotUMAP(muraro, colour_by="cell_type1") 9.1.3.2 PHATE (Moon et al. 2017) 9.1.3.2.1 Sketch of algorithm The simpliest description of PHATE: Step1. Create a dissimilarity matrix of the original data Step2. Feed the dissimilarity matrix to nonmetric MDS (MDS: Multi-Dimension Scaling is a classical dimensionality reduction approach, that takes an input of distance matrix, and aims at preserving pairwise distances in the low dimensional space. When the input distance matrix is Euclidean distance, MDS produces the same result as PCA. Nonmetric MDS generalize the input as a dissimilarity matrix, rather than just distance.) Details of step1 in PHATE Step1-1. Markov transition matrix - What is similar with SNE: Recall that in the original SNE algorithm, there is a similarity matrix with entry \\(p_{i|j}\\) that is interpreted as the probability that point \\(x_i\\) chooses \\(x_j\\) as its neighbour: \\(p_{j|i} \\propto \\exp(-\\Vert x_i - x_j \\Vert^2/2\\delta^2)\\). PHATE is doing the same, except that we can interpret it differently: i. We can think \\(p_{j|i}\\) as a Gaussian kernel, where \\(\\epsilon \\triangleq 2\\delta^2\\) is the bandwidth: \\(p_{j|i} \\triangleq K_\\epsilon(x_i, x_j )\\). Similar to SNE, PHATE also define \\(\\epsilon\\) as the \\(k\\)-NN distance of each data point, so that it is smaller in dense area and larger in sparse area. The \\(k\\) is a user-specified tuning parameter, similar to perplexity in SNE. ii. We can think of the similarity matrix as a transition matrix, where \\(p_{j|i}\\) represents the probability of jumping from state \\(i\\) to state \\(j\\) in a single step. - What is different: i. PHATE generalize \\(K_\\epsilon(x_i, x_j)\\) to \\(\\exp \\left(- \\Vert x_i - x_j \\Vert^\\alpha /\\epsilon(x_i)^\\alpha\\right)\\), where the original Gaussian kernel is the special case when \\(\\alpha = 2\\). The motivation is that if the data is very sparse in some regions, then the bandwith \\(\\epsilon\\) with be very large and the kernel will become flat and lose the local information. By letting \\(\\alpha > 2\\), we prevent this to happen, although \\(\\alpha\\) needs to be provided by the user.  ii. Note that the kernels are not symmetrical now, that is \\(K_\\epsilon(x_i, x_j) \\neq K_\\epsilon(x_j, x_i)\\). So we make it symmetrical by taking an average of the two.  Step1-2. Smoothing - \\(P\\) is the transition matrix where \\(p_{i, j}\\) represents the probability of jumping from state \\(i\\) to state \\(j\\) in a single step. - Denote \\(\\delta_x\\) as a row vector of length \\(n\\) (the number of data points), where only the entry corresponding to \\(x\\) is 1 and zero everywhere else. Then \\(p_x = \\delta_x P\\) is the probability distribution of the data points starting from \\(x\\) after one step, and \\(p_x^t = \\delta_x P^t\\) is the probability distribution of the data points after \\(t\\) steps. In general, the more steps we take, the more data points will have positive probabilities. One way to think about this, is the larger \\(t\\) is, the more global information and the less local information is encoded. In the extreme case, if we take infinity steps, \\(p_x^\\infty\\) will be the same for all \\(x\\)’s, i.e. the probability distribution is going to be the same regardless of where we start, in this case, the local information is completely lost. An appropriately chosen \\(t\\) is crucial for the balance between local and global information in the embedding. (See the original paper for details of choosing \\(t\\)) Step1-3. Distance measurement Instead of measuring directly the Eudlicean distance between data points, say \\(x_i\\) and \\(x_j\\), PHATE measures the distance between probability distributions \\(p_{x_i}^t\\) and \\(p_{x_j}^t\\): \\(D^t(x_i, x_j) = \\Vert \\log(p_{x_i}^t) - \\log(p_{x_j}^t) \\Vert^2\\) 9.1.3.2.2 Example of PHATE library(phateR) deng_phate <- phate(t(assay(deng, "logcounts"))) dt <- data.frame(deng_phate$embedding, clust = deng$cell_type1) palette(rainbow(10)) ggplot(dt, aes(x=PHATE1, y=PHATE2, color=clust)) + geom_point() 9.2 Matrix factorization and factor analysis The key concept of factor analysis: The original, observed variables are correlated because they are all associated with some unobservable variables, the latent factors. It looks similar to PCA, but instead of dimensionality reduction, factor analysis focuses on studying the latent factors. The variance of an observed variable can be splitted into two parts: - Common variance: the part of variance that is explained by latent factors; - Unique variance: the part that is specific to only one variable, usually considered as an error component or residual. The factor loadings or weights indicate how much each latent factor is affecting the observed features. 9.2.1 Slalom: Interpretable latent spaces Highlight of Slalom: (Buettner et al. 2017) It incorporates prior information to help the model estimation; It learns whatever not provided by prior knowledge in the model training process; It enforces sparsity in the weight matrix. 9.2.1.1 Methodology Matrix expression of factor analysis: How prior knowledge affects the model: \\(I_{g, k}\\): (observed) Indicator of whether a gene \\(g\\) is annotated to a given pathway or factor \\(k\\); \\(z_{g, k}\\): (latent) Indicator of whether factor \\(k\\) has a regulatory effect on gene \\(g\\); \\(w_{g, k}\\): (estimated) weights. grey arrow: \\[ P(I_{g, k}\\vert z_{g, k}) = \\begin{cases} \\text{Bernoulli}(p_1), \\text{if } z_{g, k} = 1\\\\ \\text{Bernoulli}(p_2), \\text{if } z_{g, k} = 0\\\\ \\end{cases}\\] green arrow: \\[ P(w_{g, k}\\vert z_{g, k}) = \\begin{cases} N(w_{g, k}, 1/\\alpha), \\text{ if } z_{g, k} = 1\\\\ \\delta_0(w_{g, k}), \\text{ if } z_{g, k} = 0\\\\ \\end{cases}\\] We only look at the part of the likelihood that is relavant to this part: \\(\\prod_{g} \\prod_{k}P(I_{g, k}, w_{g, k}, z_{g, k})\\), where \\(P(I_{g, k}, w_{g, k}, z_{g, k}) = P(I_{g, k}, w_{g, k}| z_{g, k})P(z_{g,k}) = P( I_{g, k}| z_{g, k})P( w_{g, k}| z_{g, k})P(z_{g,k})\\). Since we do not know anything about \\(z_{g,k}\\), it is assumed as Bernoulli(1/2). 9.2.1.2 Example First, get a geneset in a GeneSetCollection object. gmtfile <- system.file("extdata", "reactome_subset.gmt", package = "slalom") genesets <- GSEABase::getGmt(gmtfile) Then we create an Rcpp_SlalomModel object containing the input data and genesets (and subsequent results) for the model. model_deng <- newSlalomModel(deng, genesets, n_hidden = 5, min_genes = 10) ## 29 annotated factors retained; 1 annotated factors dropped. ## 1072 genes retained for analysis. Initialize the model: model_deng <- initSlalom(model_deng, seed = 100) Fit/train the model: model_deng <- trainSlalom(model_deng, nIterations = 1000, seed = 100, tolerance = 0.001) ## pre-training model for faster convergence ## iteration 0 ## Model not converged after 50 iterations. ## iteration 0 ## Model not converged after 50 iterations. ## iteration 0 ## Switched off factor 29 ## Switched off factor 20 ## Switched off factor 32 ## Switched off factor 28 ## Switched off factor 13 ## Switched off factor 27 ## Switched off factor 10 ## iteration 100 ## Switched off factor 22 ## iteration 200 ## iteration 300 ## iteration 400 ## iteration 500 ## iteration 600 ## iteration 700 ## Model converged after 701 iterations. View results: The plotRelevance function displays the most relevant terms (factors/pathways) ranked by relevance, showing gene set size and the number of genes gained/lost as active in the pathway as learnt by the model. plotRelevance(model_deng) + theme_classic(base_size = 8) ## NULL The plotTerms function shows the relevance of all terms in the model, enabling the identification of the most important pathways in the context of all that were included in the model. plotTerms(model_deng) 9.3 Autoencoders (Kingma and Welling 2013) 9.3.1 Background and some notations Data: \\(X\\) Latent variables: \\(Z\\) Something that is not directly observable but is assumed to have an impact on the observed variables. Goal: We believe \\(X\\) can be generated from \\(Z\\) (with some trasformation), and want to sample more data from \\(Z\\) that resembles \\(X\\). So we want the to find the parameters \\(\\theta\\) such that the probability to generate \\(X\\) from the distribution of \\(Z\\): \\(P(X) = \\int P(X|z; \\theta) P(z) dz\\) is maximized. How do we define \\(Z\\)? The simplest idea: \\(Z \\sim N(0, 1)\\). It is not impossible, because “any distribution in d dimensions can be generated by taking a set of d variables that are normally distributed and mapping them through a sufficiently complicated function.†-A better idea: For most of \\(z\\), \\(P(X|z; \\theta)\\) will be close to zero, meaning it contribute almost nothing to the estimate of \\(P(X)\\). Thus, we want to sample only those values of \\(Z\\) that are likely to produce \\(X\\). Denote this distribution of \\(Z\\) as \\(Q(Z|X)\\) (it is infered and therefore depend on \\(X\\)). Advantage: There will be a lot less possible values of \\(Z\\) under \\(Q\\) compared to random sampling, therefore, it will be easier to compute \\(E_{Z \\sim Q} P(X|Z)\\). 9.3.2 Objective \\[ \\log P(X) - KL[Q(Z|X)\\Vert P(Z|X)] = E_{Z\\sim Q}[\\log P(X|Z)] - KL[Q(Z|X)\\Vert P(Z)]\\] We can get this equation by starting from the definition of Kullback-Leibler divergence, combined with the Bayesian formula and a little algebra. (Not showing details here) LHS: what we want to maximize: Generation loss: how likely the generated samples resembles \\(X\\) - an error term which measures how much information is lost when using \\(Q\\) to represent \\(P\\), it becomes small if \\(Q\\) is high-capacity. (A loose explanation of model capacity: Roughly speaking, the capacity of a model describes how complex a relationship it can model. You could expect a model with higher capacity to be able to model more relationships between more variables than a model with a lower capacity.) RHS: what we can maximize through stochastic gradient descent. References "],
+["clustering-and-cell-annotation.html", "10 Clustering and cell annotation 10.1 Clustering Methods 10.2 Clustering example 10.3 An alternative to clustering: Automatic cell annotation", " 10 Clustering and cell annotation 10.1 Clustering Methods Once we have normalized the data and removed confounders we can carry out analyses that are relevant to the biological questions at hand. The exact nature of the analysis depends on the dataset. Nevertheless, there are a few aspects that are useful in a wide range of contexts and we will be discussing some of them in the next few chapters. We will start with the clustering of scRNA-seq data. 10.1.1 Introduction One of the most promising applications of scRNA-seq is de novo discovery and annotation of cell-types based on transcription profiles. Computationally, this is a hard problem as it amounts to unsupervised clustering. That is, we need to identify groups of cells based on the similarities of the transcriptomes without any prior knowledge of the labels. Moreover, in most situations we do not even know the number of clusters a priori. The problem is made even more challenging due to the high level of noise (both technical and biological) and the large number of dimensions (i.e. genes). When working with large datasets, it can often be beneficial to apply some sort of dimensionality reduction method. By projecting the data onto a lower-dimensional sub-space, one is often able to significantly reduce the amount of noise. An additional benefit is that it is typically much easier to visualize the data in a 2 or 3-dimensional subspace. We have already discussed PCA (chapter 6.6.2) and t-SNE (chapter 6.6.2). Challenges in clustering What is the number of clusters k? What defines a good clustering? What is a cell type? Scalability: in the last few years the number of cells in scRNA-seq experiments has grown by several orders of magnitude from ~\\(10^2\\) to ~\\(10^6\\) 10.1.2 Unsupervised clustering methods Three main ingredients of a complete clustering method: Measure of similarity: how do we quantify how close two data points are? Quality function: how do we decide how “good†is a clustering/partition? Algorithm: how to find the clustering whose quality function is optimized? 10.1.2.1 Hierarchical clustering Hierarchical clustering is basically the only type of clustering algorithm that does not seek to optimize a quality function, because it builds a hierarchy of clusters, instead of one single clustering result as the output. There are two types of strategies: - Agglomerative (bottom-up): each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy. - Divisive (top-down): all observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.  10.1.2.2 k-means clustering Measure of similarity: Euclidean distance Quality function: Within cluster distance Algorithm: Advantage: Fast Drawbacks: - Sensitive to initial clustering - Sensitive to outliers - Need to specify K - Tend to find clusters of similar sizes Tools related to K-means: SC3 10.1.2.3 Graph-based methods Real world networks usualy display big inhomogeneities or community structure. Communities or clusters or modules are groups of vertices which probably share common properties and/or play similar roles whithin the graph. In recent years there has been a lot of interest in detecting communities in networks in various domains. Some of these community detection methods can be applied to scRNA-seq data by building a graph where each vertice represents a cell and (weight of) the edge measures similarity between two cells. Actually, graph-based clustering is the most popular clustering algorithm in scRNA-seq data analysis, and has been reported to have outperformed other clustering methods in many situations (Freytag et al. 2018). 10.1.2.3.1 Why do we want to represent the data as a graph? Memory effectiveness: A (complete) graph can be thought as an alternative expression of similarity matrix. Current methods (discuss later) aim to build sparse graphs, which ease the memory burden. Curse of dimensionality: All data become sparse in high-dimensional space and therefore similarities measured by Euclidean distances etc are generally low between all objects. 10.1.2.3.2 Building a graph Step1: Build an unweighted K-nearest neighbour (KNN) graph Step2: Add weights, and obtain a shared nearest neighbour (SNN) graph There are two ways of adding weights: number and rank. - number: The number of shared nodes between \\(u\\) and \\(v\\), in this case, 3. - rank: A measurement of the closeness to their common nearest neighbours. ((???)) Details of rank : Main idea: The closeness of two people is defined by their closest common friend. For each node, say \\(u\\), we can rank its 5 neighbours according to their closeness to \\(u\\), and we can do the same with \\(v\\). Denote the three shared neighbours as \\(x_1\\), \\(x_2\\) and \\(x_3\\), so rank(\\(x_1, u\\)) = 1 means \\(x_1\\) is the closest neighbour of \\(u\\). The idea is, if \\(x_1\\) is also the closest to \\(v\\), then \\(u\\) and \\(v\\) should have a larger similarity, or weight. So we summarize the overall closeness of \\(x_1\\) with both \\(u\\) and \\(v\\) by taking an average: \\(\\dfrac{1}{2}(\\text{rank}(x_1, u), \\text{rank}(x_1, v))\\). Then we find the one with the largest closeness, \\(s(u, v) = \\min \\left[ \\dfrac{1}{2}(\\text{rank}(x_i, u), \\text{rank}(x_i, v)) \\vert i = 1, 2, 3\\right]\\). The final expression of weight: \\[ w(u, v) = K - s(u, v).\\] 10.1.2.3.3 Quality function (Modularity) Modularity (Newman and Girvan 2004) is not the only quality function for graph-based clustering, but it is one of the first attempts to embed in a compact form many questions including the definition of quality function and null model etc. The idea of modularity: A random graph should not have a cluster structure. The more “quality†a partition has compared to a random graph, the “better†the partition is. Specifically, it is defined by: the quality of a partition on the actual graph \\(-\\) the quality of the same partition on a random graph quality : Sum of the weights within clusters random graph : a copy of the original graph, with some of its properties, but without community structure. The random graph defined by modularity is: each node has the same degree as the original graph. \\[ Q \\propto \\sum_{i, j} A_{i, j} \\delta(i, j) - \\sum_{i, j} \\dfrac{k_i k_j}{2m} \\delta(i, j)\\] \\(A_{i, j}\\): weight between node \\(i\\) and \\(j\\); \\(\\delta(i, j)\\): indicator of whether \\(i\\) and \\(j\\) are in the same cluster; \\(k_i\\): the degree of node \\(i\\) (the sum of weights of all edges connected to \\(i\\)); \\(m\\): the total weight in the all graph. Higher modularity implies better partition: Limits of modularity: (Good, De Montjoye, and Clauset 2010) 1. Resolution limit. Short version: Modularity maximization forces small communities into larger ones. Longer version: For two clusters \\(A\\) and \\(B\\), if \\(k_A k_B < 2m\\) then modularity increases by merging A and B into a single cluster, even if A and B are distinct clusters. 2. Bad, even random partitions may have a high modularity. Networks lack a clear modularity maxima. 10.1.2.3.4 Algorithms : Modularity-based clustering methods implemented in single cell analysis are mostly greedy algorithms, that are very fast, although not the most accurate approaches.   Louvain: (Blondel et al. 2008)   Leiden:(Traag, Waltman, and Eck 2019) Improved Louvain, hybrid of greedy algorithm and sampling technique 10.1.2.3.5 Advantages: -Fast -No need to specify \\(k\\) 10.1.2.3.6 Tools for graph-based clustering: Seurat: Louvain, Leiden, SLM igraph: fast greedy, Louvain, optimal, walktrap, spinglass, infomap 10.1.2.4 Consensus clustering (more robustness, less computational speed) 10.1.2.4.1 Motivation (Two problems of \\(K\\)-means): Problem1: sensitive to initial partitions  Solution:  Run multiple iterations of \\(K\\)-means on different subsamples of the original dataset, with different initail partitions. Problem2: the selection of \\(K\\).  Solution:  Run \\(K\\)-means with a range of \\(K\\)’s. 10.1.2.4.2 Algorithm of consensus clustering (simpliest version): for(k in the range of K){ for(each subsample of the data){ for(iteration in 1:1000){ kmeans(subsample, k) # each iteration means a different initial partition save partition } } return consensus clustering result of k } 10.1.2.4.3 Subsample obtained by dimensional reduction: steps of PCA: i) tranformation of the similarity matrix. ii) ranking eigen vectors according to their accoring eigen values in decreasing order. iii) need to decide how many (\\(d\\)) PC’s or eigenvalues we wants to reduce to. In SC3, i) considers two types of transformation: the one with traditional PCA and the associated graph Laplacian. iii) User may specify a range of \\(d\\), or use the default range suggested by the authors according to their experience with empirical results. 10.1.2.4.4 Consensus clustering (combining multiple clustering results): Step1: Represent each partition as a matrix: Say we partitioned four data points into 2 clusters. Step2: Consensus matrix: Average of all the partitions 10.1.2.4.5 Tools for consensus clustering: SC3 10.2 Clustering example library(pcaMethods) library(SC3) library(scater) library(SingleCellExperiment) library(pheatmap) library(mclust) library(igraph) library(scran) 10.2.1 Example 1. Graph-based clustering (deng dataset) To illustrate clustering of scRNA-seq data, we consider the Deng dataset of cells from developing mouse embryo (Deng et al. 2014). We have preprocessed the dataset and created a SingleCellExperiment object in advance. We have also annotated the cells with the cell types identified in the original publication (it is the cell_type2 column in the colData slot). deng <- readRDS("data/deng/deng-reads.rds") First, we build a \\(K\\)-NN graph with a package function from scran. The most important decision of building a graph is the choice of \\(K\\), of which there is no standard rule. In general, we can think of it as an indication of the desired cluster size. If \\(K\\) is too small, a genuine cluster might be split into parts, while if \\(K\\) is too large, clusters might not thoroughly separated. deng5 <- buildSNNGraph(deng, k = 5) deng15 <- buildSNNGraph(deng, k = 15) deng25 <- buildSNNGraph(deng, k = 25) par(mfrow=c(1,3)) plot(deng5, vertex.size = 4, vertex.label = NA) title("5-NN" ,line = -33, cex.main = 3) plot(deng15, vertex.size = 4, vertex.label = NA) title("15-NN" ,line = -33, cex.main = 3) plot(deng25, vertex.size = 4, vertex.label = NA) title("25-NN" ,line = -33, cex.main = 3) Perform Louvain clustering: cl <- igraph::cluster_louvain(deng15)$membership colData(deng)$cl <- factor(cl) mclust::adjustedRandIndex(colData(deng)$cell_type2, colData(deng)$cl) ## [1] 0.4197754 Reaches very high similarity with the labels provided in the original paper. However, it tend to merge small clusters into larger ones. table(deng$cell_type2, cl) ## cl ## 1 2 3 ## 16cell 49 0 1 ## 4cell 0 14 0 ## 8cell 36 0 1 ## early2cell 0 8 0 ## earlyblast 0 0 43 ## late2cell 0 10 0 ## lateblast 0 0 30 ## mid2cell 0 12 0 ## midblast 0 0 60 ## zy 0 4 0 10.2.2 Example 2. Graph-based clustering (segerstolpe dataset) muraro <- readRDS("data/pancreas/muraro.rds") ## PCA var.fit <- suppressWarnings(trendVar(muraro, parametric=TRUE, use.spikes=F)) muraro <- suppressWarnings(denoisePCA(muraro, technical=var.fit$trend)) dim(reducedDim(muraro, "PCA")) ## [1] 2126 5 ## Build graph and clustering gr <- buildSNNGraph(muraro, use.dimred="PCA", k = 30) cl <- igraph::cluster_louvain(gr)$membership colData(muraro)$cl <- factor(cl) mclust::adjustedRandIndex(colData(muraro)$cell_type1, colData(muraro)$cl) ## [1] 0.4845618 table(muraro$cell_type1, cl) ## cl ## 1 2 3 4 5 6 7 8 9 ## acinar 0 0 0 0 0 0 218 0 1 ## alpha 202 306 274 5 15 9 1 0 0 ## beta 1 0 0 5 195 21 2 220 4 ## delta 0 0 0 0 18 174 0 1 0 ## ductal 0 0 0 215 0 1 7 3 19 ## endothelial 0 0 0 0 0 0 0 0 21 ## epsilon 0 0 0 0 0 3 0 0 0 ## gamma 1 0 1 0 0 97 2 0 0 ## mesenchymal 0 0 0 1 0 0 0 0 79 ## unclear 0 0 0 4 0 0 0 0 0 10.2.3 Example 3. SC3 Let’s run SC3 clustering on the Deng data. The advantage of the SC3 is that it can directly ingest a SingleCellExperiment object. SC3 can estimate a number of clusters: deng <- sc3_estimate_k(deng) ## Estimating k... metadata(deng)$sc3$k_estimation ## [1] 6 Next we run SC3 (we also ask it to calculate biological properties of the clusters): deng <- sc3(deng, ks = 10, biology = TRUE, n_cores = 1) ## Setting SC3 parameters... ## Calculating distances between the cells... ## Performing transformations and calculating eigenvectors... ## Performing k-means clustering... ## Calculating consensus matrix... ## Calculating biology... SC3 result consists of several different outputs (please look in (Kiselev et al. 2017) and SC3 vignette for more details). Here we show some of them: Consensus matrix: sc3_plot_consensus(deng, k = 10, show_pdata = "cell_type2") Silhouette plot: sc3_plot_silhouette(deng, k = 10) Heatmap of the expression matrix: sc3_plot_expression(deng, k = 10, show_pdata = "cell_type2") Identified marker genes: sc3_plot_markers(deng, k = 10, show_pdata = "cell_type2") PCA plot with highlighted SC3 clusters: plotPCA(deng, colour_by = "sc3_10_clusters") Compare the results of SC3 clustering with the original publication cell type labels: adjustedRandIndex(colData(deng)$cell_type2, colData(deng)$sc3_10_clusters) ## [1] 0.6616899 Note SC3 can also be run in an interactive Shiny session: sc3_interactive(deng) This command will open SC3 in a web browser. Note Due to direct calculation of distances SC3 becomes very slow when the number of cells is \\(>5000\\). For large datasets containing up to \\(10^5\\) cells we recomment using Seurat (see chapter 16). 10.3 An alternative to clustering: Automatic cell annotation 10.3.1 SingleR 10.3.1.1 Methodology Step1. Find variable gene 1-1. For every gene, obtain median grouped by label. 1-2. Select genes that makes at least one label different:. For example, if we are looking for the genes that makes label “green†different from label “redâ€, we substract the second column by the first, and pick the top \\(N\\) highest and positive values. All analysis onwards use only the selected variable genes. Step2. Spearman’s correlation Spearman’s correlation \\(\\in [-1, 1]\\) is a measure of the strength of a linear or monotonic relationship between paired data. We compute the Spearman’s correlation for all pairs of cells in the test and reference dataset, and obtain an \\(n_{\\text{test}} \\times n_{\\text{ref}}\\) correlation matrix, where \\(n\\) is the number of cells (see the first matrix in Step3). Step3. Scoring We want to know how each cell in the test data is correlated to the labels in the reference data, instead of each reference cell. So we take the correlations of a cell in the test data with all the cells with a certain label in the reference data, and summarize them into one number or a score, in SingleR, the default is to take the \\(80\\%\\) quantile. Step4. Fine tuning We stop here and assign each cell with label that score the highest, actually, if we set the argument fine.tune = FALSE, that is exactly what the package function SingleR does. But there is one more question, what if the second highest score is very close to the highest? say, 1, 1, 1, 9.5, 10. SingleR set a threshold to define how close is “very closeâ€, the default is 0.05. For (only) the cells that falls into this category, it goes back to Step2. 10.3.1.2 Example (Note: SingleR is not yet available in the released version of Bioconductor. It will be possible to run it as shown once the next Bioconductor release is made in late October.) library(scRNAseq) library(SingleR) segerstolpe <- readRDS("data/pancreas/segerstolpe.rds") sceM <- suppressMessages(MuraroPancreasData()) sceM <- sceM[,!is.na(sceM$label)] sceM <- logNormCounts(sceM) ## find common gene rownames(sceM) <- gsub("__.*","",rownames(sceM)) common <- intersect(rownames(sceM), rownames(segerstolpe)) sceM <- sceM[common,] segerstolpe <- segerstolpe[common,] ## Prepare reference out <- pairwiseTTests(logcounts(sceM), sceM$label, direction="up") markers <- getTopMarkers(out$statistics, out$pairs, n=10) ## Annotation pred <- SingleR(test=segerstolpe, ref=sceM, labels=sceM$label, genes=markers) ## View result plotScoreHeatmap(pred, show.labels = TRUE, annotation_col=data.frame( row.names=rownames(pred))) 10.3.2 scmap ## Load data segerstolpe <- readRDS("data/pancreas/segerstolpe.rds") # test library(scRNAseq) sceM <- readRDS("data/pancreas/muraro.rds") # reference rownames(sceM) <- gsub("__.*","",rownames(sceM)) Select the most informative features (genes) using the dropout feature selection method. By default select 500 features. library(scmap) rowData(sceM)$feature_symbol <- rownames(sceM) sceM <- selectFeatures(sceM, suppress_plot = TRUE) Index of a reference dataset is created by finding the median gene expression for each cluster. First, chop the total of 500 features into \\(M = 50\\) chuncks/ low-dimensional subspace. Second, cluster each chunk into \\(k = \\sqrt{N}\\) clusters, where \\(N\\) is the number of cells. By default scmap uses the cell_type1 column of the colData slot in the reference to identify clusters. sceM <- indexCell(sceM) The function indexCluster writes the scmap_cluster_index item of the meta data slot of the reference dataset sceM. This step has two outputs: names(metadata(sceM)$scmap_cell_index) ## [1] "subcentroids" "subclusters" subcentroids returns cluster centers: cat(length(metadata(sceM)$scmap_cell_index$subcentroids), " chunks \\n") ## 50 chunks cat("The dimension of cluster centers in each chunk: ", dim(metadata(sceM)$scmap_cell_index$subcentroids[[1]]), "\\n") ## The dimension of cluster centers in each chunk: 10 46 subclusters contains information about which cluster (label) the cells belong to dim(metadata(sceM)$scmap_cell_index$subclusters) ## [1] 50 2126 metadata(sceM)$scmap_cell_index$subclusters[1:5,1:5] ## D28.1_1 D28.1_13 D28.1_15 D28.1_17 D28.1_2 ## [1,] 37 25 29 19 30 ## [2,] 44 26 41 12 20 ## [3,] 27 17 43 43 41 ## [4,] 12 31 13 8 11 ## [5,] 20 18 16 15 1 Projection: Once the scmap-cell indexes have been generated we can use them to project the test dataset. scmapCell_results <- scmapCell( projection = segerstolpe, index_list = list( sceM = metadata(sceM)$scmap_cell_index ) ) names(scmapCell_results) ## [1] "sceM" The cells matrix contains the top 10 (scmap default) cell IDs of the cells of the reference dataset that a given cell of the projection dataset is closest to: dim(scmapCell_results$sceM$cells) ## [1] 10 3514 Cell annotation: If cell cluster annotation is available for the reference datasets, scmap-cell can also annotate the cells from the projection dataset using the labels of the reference. It does so by looking at the top 3 nearest neighbours (scmap default) and if they all belong to the same cluster in the reference and their maximum similarity is higher than a threshold (0.5 is the scmap default), then a projection cell is assigned to the corresponding reference cluster: scmapCell_clusters <- scmapCell2Cluster( scmapCell_results, list( colData(sceM)$cell_type1 )) Plot result Compare the annotated result with the original label in the segerstolpe dataset. plot( getSankey( segerstolpe$cell_type1, scmapCell_clusters$combined_labs, plot_height = 400 ) ) 10.3.3 sessionInfo() References "],
+["trajectory-inference.html", "11 Trajectory inference 11.1 First look at Deng data 11.2 TSCAN 11.3 Slingshot 11.4 Monocle 11.5 Other methods 11.6 Comparison of the methods 11.7 Expression of genes through time", " 11 Trajectory inference library(SingleCellExperiment) library(TSCAN) library(M3Drop) library(monocle) library(destiny) library(scater) library(ggplot2) library(ggthemes) library(ggbeeswarm) library(corrplot) library(Polychrome) library(slingshot) library(SLICER) library(ouija) set.seed(1) In many situations, one is studying a process where cells change continuously. This includes, for example, many differentiation processes taking place during development: following a stimulus, cells will change from one cell-type to another. Ideally, we would like to monitor the expression levels of an individual cell over time. Unfortunately, such monitoring is not possible with scRNA-seq since the cell is lysed (destroyed) when the RNA is extracted. Instead, we must sample at multiple time-points and obtain snapshots of the gene expression profiles. Since some of the cells will proceed faster along the differentiation than others, each snapshot may contain cells at varying points along the developmental progression. We use statistical methods to order the cells along one or more trajectories which represent the underlying developmental trajectories, this ordering is referred to as “pseudotimeâ€. In this chapter we will consider five different tools: TSCAN,Slingshot,Monocle and some off-the-shelf methods like PCA, for ordering cells according to their pseudotime development. To illustrate the methods we will be using a dataset on mouse embryonic development (Deng et al. 2014). The dataset consists of 268 cells from 10 different time-points of early mouse development. In this case, there is no need for pseudotime alignment since the cell labels provide information about the development trajectory. Thus, the labels allow us to establish a ground truth so that we can evaluate and compare the different methods. A recent benchmarking paper by Saelens et al (Saelens et al. 2019) provides a detailed summary of the various computational methods for trajectory inference from single-cell transcriptomics (Saelens et al. 2019). They discuss 45 tools and evaluate them across various aspects including accuracy, scalability, and usability. The following figures from the paper summarise several key aspects and some of the features of the tools being evaluated: Figure 2.3: Overview of several key aspects of the evaluation (Fig. 1 from Saelens et al, 2019). The Characterizatics of the 45 TI tools: Figure 2.4: Characterization of trajectory inference methods for single-cell transcriptomics data (Fig. 2 from Saelens et al, 2019). The detailed evaluation results of the 45 TI tools: Figure 2.5: Detailed results of the four main evaluation criteria: accuracy, scalability, stability and usability of trajectory inference methods for single-cell transcriptomics data (Fig. 3 from Saelens et al, 2019). 11.1 First look at Deng data Let us take a first look at the Deng(Deng et al. 2014) data, without yet applying sophisticated pseudotime methods. As the plot below shows, simple PCA does a very good job of displaying the structure in these data. It is only once we reach the blast cell types (“earlyblastâ€, “midblastâ€, “lateblastâ€) that PCA struggles to separate the distinct cell types. deng_SCE <- readRDS("data/deng/deng-reads.rds") deng_SCE$cell_type2 <- factor( deng_SCE$cell_type2, levels = c("zy", "early2cell", "mid2cell", "late2cell", "4cell", "8cell", "16cell", "earlyblast", "midblast", "lateblast") ) cellLabels <- deng_SCE$cell_type2 deng <- counts(deng_SCE) colnames(deng) <- cellLabels deng_SCE <- scater::runPCA(deng_SCE,ncomponent = 5) ## change color Palette with library(Polychrome) set.seed(723451) # for reproducibility my_color <- createPalette(10, c("#010101", "#ff0000"), M=1000) names(my_color) <- unique(as.character(deng_SCE$cell_type2)) pca_df <- data.frame(PC1 = reducedDim(deng_SCE,"PCA")[,1], PC2 = reducedDim(deng_SCE,"PCA")[,2], cell_type2 = deng_SCE$cell_type2) ggplot(data = pca_df)+geom_point(mapping = aes(x = PC1, y = PC2, colour = cell_type2))+ scale_colour_manual(values = my_color)+theme_classic() PCA, here, provides a useful baseline for assessing different pseudotime methods. For a very naive pseudotime we can just take the co-ordinates of the first principal component. #deng_SCE$PC1 <- reducedDim(deng_SCE, "PCA")[,1] ggplot(pca_df, aes(x = PC1, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_colour_manual(values = my_color) + theme_classic() + xlab("First principal component") + ylab("Timepoint") + ggtitle("Cells ordered by first principal component") As the plot above shows, PC1 struggles to correctly order cells early and late in the developmental timecourse, but overall does a relatively good job of ordering cells by developmental time. Can bespoke pseudotime methods do better than naive application of PCA? 11.2 TSCAN TSCAN (Ji and Ji 2019) combines clustering with pseudotime analysis. First it clusters the cells using mclust, which is based on a mixture of normal distributions. Then it builds a minimum spanning tree to connect the clusters. The branch of this tree that connects the largest number of clusters is the main branch which is used to determine pseudotime. Note From a connected graph with weighted edges, MST is the tree structure that connects all the nodes in a way that has the minimum total edge weight. The trajectory inference methods that use MST is based on the idea that nodes (cells/clusters of cells) and their connections represent the geometric shape of the data cloud in a two-dimenension space. First we will try to use all genes to order the cells. procdeng <- TSCAN::preprocess(counts(deng_SCE)) colnames(procdeng) <- 1:ncol(deng_SCE) dengclust <- TSCAN::exprmclust(procdeng, clusternum = 10) TSCAN::plotmclust(dengclust) dengorderTSCAN <- TSCAN::TSCANorder(dengclust, orderonly = FALSE) pseudotime_order_tscan <- as.character(dengorderTSCAN$sample_name) deng_SCE$pseudotime_order_tscan <- NA deng_SCE$pseudotime_order_tscan[as.numeric(dengorderTSCAN$sample_name)] <- dengorderTSCAN$Pseudotime Frustratingly, TSCAN only provides pseudotime values for 221 of 268 cells, silently returning missing values for non-assigned cells. Again, we examine which timepoints have been assigned to each state: cellLabels[dengclust$clusterid == 10] ## [1] late2cell late2cell late2cell late2cell late2cell late2cell late2cell ## [8] late2cell late2cell late2cell ## 10 Levels: zy early2cell mid2cell late2cell 4cell 8cell ... lateblast ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_order_tscan, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("TSCAN pseudotime") + ylab("Timepoint") + ggtitle("Cells ordered by TSCAN pseudotime") TSCAN gets the development trajectory the “wrong way aroundâ€, in the sense that later pseudotime values correspond to early timepoints and vice versa. This is not inherently a problem (it is easy enough to reverse the ordering to get the intuitive interpretation of pseudotime), but overall it would be a stretch to suggest that TSCAN performs better than PCA on this dataset. (As it is a PCA-based method, perhaps this is not entirely surprising.) Exercise 1 Compare results for different numbers of clusters (clusternum). 11.3 Slingshot Slingshot (Street et al. 2018) is a single-cell lineage inference tool, it can work with datasets with multiple branches. Slingshot has two stages: 1) the inference of the global lineage structure using MST on clustered data points and 2) the inference of pseudotime variables for cells along each lineage by fitting simultaneous ‘principal curves’ across multiple lineages. Slingshot’s first stage uses a cluster-based MST to stably identify the key elements of the global lineage structure, i.e., the number of lineages and where they branch. This allows us to identify novel lineages while also accommodating the use of domain-specific knowledge to supervise parts of the tree (e.g., terminal cellular states). For the second stage, we propose a novel method called simultaneous principal curves, to fit smooth branching curves to these lineages, thereby translating the knowledge of global lineage structure into stable estimates of the underlying cell-level pseudotime variable for each lineage. Slingshot had consistently performing well across different datasets as reported by Saelens et al, let’s have a run for the deng dataset. It is recommended by Slingshot to run in a reduced dimensions. __Note_ Principal curves are smooth one-dimensional curves that pass through the middle of a p-dimensional data set, providing a nonlinear summary of the data. They are nonparametric, and their shape is suggested by the data (Hastie et al)(Hastie and Stuetzle 1989). ## runing slingshot deng_SCE <- slingshot(deng_SCE, clusterLabels = 'cell_type2',reducedDim = "PCA", allow.breaks = FALSE) ## Using diagonal covariance matrix summary(deng_SCE$slingPseudotime_1) ## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's ## 0.00 52.19 59.81 60.34 81.60 85.72 55 ## get lineages inferred by slingshot lnes <- getLineages(reducedDim(deng_SCE,"PCA"), deng_SCE$cell_type2) ## Using diagonal covariance matrix lnes@lineages ## $Lineage1 ## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell" ## [6] "16cell" "midblast" "earlyblast" ## ## $Lineage2 ## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell" ## [6] "16cell" "midblast" "lateblast" ## ## $Lineage3 ## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell" ## [6] "16cell" "8cell" ## plot the lineage overlay on the orginal PCA plot plot(reducedDims(deng_SCE)$PCA, col = my_color[as.character(deng_SCE$cell_type2)], pch=16, asp = 1) legend("bottomleft",legend = names(my_color[levels(deng_SCE$cell_type2)]), fill = my_color[levels(deng_SCE$cell_type2)]) lines(SlingshotDataSet(deng_SCE), lwd=2, type = 'lineages', col = c("black")) ## Plotting the pseudotime inferred by slingshot by cell types slingshot_df <- data.frame(colData(deng_SCE)) ggplot(slingshot_df, aes(x = slingPseudotime_1, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + theme_classic() + xlab("First Slingshot pseudotime") + ylab("cell type") + ggtitle("Cells ordered by Slingshot pseudotime")+scale_colour_manual(values = my_color) ggplot(slingshot_df, aes(x = slingPseudotime_2, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + theme_classic() + xlab("Second Slingshot pseudotime") + ylab("cell type") + ggtitle("Cells ordered by Slingshot pseudotime")+scale_colour_manual(values = my_color) ggplot(slingshot_df, aes(x = slingPseudotime_1, y = slingPseudotime_2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + theme_classic() + xlab("First Slingshot pseudotime") + ylab("Second Slingshot pseudotime") + ggtitle("Cells ordered by Slingshot pseudotime")+scale_colour_manual(values = my_color) # # ggplot(slingshot_df, aes(x = slingPseudotime_1, y = slingPseudotime_2, # colour = slingPseudotime_3)) + # geom_point() + theme_classic() + # xlab("First Slingshot pseudotime") + ylab("Second Slingshot pseudotime") + # ggtitle("Cells ordered by Slingshot pseudotime")+facet_wrap(.~cell_type2) Note You can also supply a start and an end cluster to slingshot. Comments Did you notice the ordering of clusters in the lineage prediced for 16cells state? There is an outlier-like cell in the 16cell group, find the outlier and remove it, then re-run Slingshot. 11.3.1 GAM general additive model for identifying temporally expressed genes After running slingshot, an interesting next step may be to find genes that change their expression over the course of development. We demonstrate one possible method for this type of analysis on the 100 most variable genes. We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression. library(gam) t <- deng_SCE$slingPseudotime_1 # for time, only look at the 100 most variable genes Y <- log1p(assay(deng_SCE,"logcounts")) var100 <- names(sort(apply(Y,1,var),decreasing = TRUE))[1:100] Y <- Y[var100,] # fit a GAM with a loess term for pseudotime gam.pval <- apply(Y,1,function(z){ d <- data.frame(z=z, t=t) suppressWarnings({ tmp <- gam(z ~ lo(t), data=d) }) p <- summary(tmp)[3][[1]][2,3] p }) ## Plot the top 100 genes' expression topgenes <- names(sort(gam.pval, decreasing = FALSE))[1:100] heatdata <- assays(deng_SCE)$logcounts[topgenes, order(t, na.last = NA)] heatclus <- deng_SCE$cell_type2[order(t, na.last = NA)] heatmap(heatdata, Colv = NA, ColSideColors = my_color[heatclus],cexRow = 1,cexCol = 1) We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression. 11.4 Monocle The original Monocle (Trapnell et al. 2014) method skips the clustering stage of TSCAN and directly builds a minimum spanning tree on a reduced dimension representation (using ‘ICA’) of the cells to connect all cells. Monocle then identifies the longest path in this tree as the main branch and uses this to determine pseudotime. Priors are required such as start/end state and the number of branching events. If the data contains diverging trajectories (i.e. one cell type differentiates into two different cell-types), monocle can identify these. Each of the resulting forked paths is defined as a separate cell state. 11.4.1 Monocle 2 Monocle 2 (Qiu et al. 2017) uses a different approach, with dimensionality reduction and ordering performed by reverse graph embedding (RGE), allowing it to detect branching events in an unsupervised manner. RGE, a machine-learning strategy, learns a ‘principal graph’ to describe the single-cell dataset. RGE also learns the mapping function of data points on the trajectory back to the original high dimentional space simutaneously. In doing so, it aims to position the latent points in the lower dimension space (along the trajectory) while also ensuring their corresponding positions in the input dimension are ‘neighbors’. There are different ways of implementing the RGE framework, Monocle 2 uses DDRTree(Discriminative dimensionality reduction via learning a tree) by default. DDRTree learns latent points and the projection of latent points to the points in original input space, which is equivalent to “dimension reductionâ€. In addition, it simutanously learns ‘principal graph’ for K-means soft clustered cetroids for the latent points. Principal graph is the spanning tree of those centroids. DDRTree returns a principal tree of the centroids of cell clusters in low dimension, pseudotime is derived for individual cells by calculating geomdestic distance of their projections onto the tree from the root (user-defined or arbitrarily assigned). Note Informally, a principal graph is like a principal curve which passes through the ‘middle’ of a data set but is allowed to have branches. library(monocle) #d <- deng_SCE[m3dGenes,] ## feature selection deng <- counts(deng_SCE) m3dGenes <- as.character( M3DropFeatureSelection(deng)$Gene ) d <- deng_SCE[which(rownames(deng_SCE) %in% m3dGenes), ] d <- d[!duplicated(rownames(d)), ] colnames(d) <- 1:ncol(d) geneNames <- rownames(d) rownames(d) <- 1:nrow(d) pd <- data.frame(timepoint = cellLabels) pd <- new("AnnotatedDataFrame", data=pd) fd <- data.frame(gene_short_name = geneNames) fd <- new("AnnotatedDataFrame", data=fd) dCellData <- newCellDataSet(counts(d), phenoData = pd, featureData = fd) # dCellData <- setOrderingFilter(dCellData, which(geneNames %in% m3dGenes)) dCellData <- estimateSizeFactors(dCellData) dCellDataSet <- reduceDimension(dCellData,reduction_method = "DDRTree", pseudo_expr = 1) dCellDataSet <- orderCells(dCellDataSet, reverse = FALSE) plot_cell_trajectory(dCellDataSet) # Store the ordering pseudotime_monocle2 <- data.frame( Timepoint = phenoData(dCellDataSet)$timepoint, pseudotime = phenoData(dCellDataSet)$Pseudotime, State = phenoData(dCellDataSet)$State ) rownames(pseudotime_monocle2) <- 1:ncol(d) pseudotime_order_monocle <- rownames(pseudotime_monocle2[order(pseudotime_monocle2$pseudotime), ]) Note check other available methods for ?reduceDimension We can again compare the inferred pseudotime to the known sampling timepoints. deng_SCE$pseudotime_monocle2 <- pseudotime_monocle2$pseudotime ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_monocle2, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("monocle2 pseudotime") + ylab("Timepoint") + ggtitle("Cells ordered by monocle2 pseudotime") Monocle 2 performs pretty well on these cells. 11.4.2 Monocle 3 Monocle3(Cao et al. 2019) is the updated single-cell analysis toolkit for analysing large datasets. Monocle 3 is designed for use with absolute transcript counts (e.g. from UMI experiments). It first does dimension reduction with UMAP and then clusters the cells with Louvian/Leiden algorithms and merge adjacent groups into supergroup, and finaly resovles the trajectories individual cells can take during development, identifies the locations of branches and convergences within each supergroup. In short, Monocle3 uses UMAP to construct a initial trajectory inference and refines it with learning principal graph. It builds KNN graph in the UMAP dimensions and runs Louvain/Leiden algorithms om the KNN graph to derive communities; edges are drawn to connect communities that have more links (Partitioned Approximate Graph Abstraction (PAGA) graph). Each component of the PAGA grah is passed to the next step which is learning principal graph based on the SimplePPT algorithm. The pseudotime is calculated for individual cells by projecting the cells to their nearest point on the principal graph edge and measure geodesic distance along of principal points to the closest of their root nodes. library(monocle3) ## ## Attaching package: 'monocle3' ## The following objects are masked from 'package:monocle': ## ## plot_genes_in_pseudotime, plot_genes_violin, ## plot_pc_variance_explained ## The following objects are masked from 'package:Biobase': ## ## exprs, fData, fData<-, pData, pData<- gene_meta <- rowData(deng_SCE) #gene_metadata must contain a column verbatim named 'gene_short_name' for certain functions. gene_meta$gene_short_name <- rownames(gene_meta) cds <- new_cell_data_set(expression_data = counts(deng_SCE), cell_metadata = colData(deng_SCE), gene_metadata = gene_meta) ## Step 1: Normalize and pre-process the data cds <- preprocess_cds(cds,num_dim = 5) plot_pc_variance_explained(cds) ## Step 3: Reduce the dimensions using UMAP cds <- reduce_dimension(cds) ## No preprocess_method specified, using preprocess_method = 'PCA' ## Step 4: Cluster the cells cds <- cluster_cells(cds) ## change the clusters ## cds@clusters$UMAP$clusters <- deng_SCE$cell_type2 ## Step 5: Learn a graph cds <- learn_graph(cds,use_partition = TRUE) ## Step 6: Order cells cds <- order_cells(cds, root_cells = c("zy","zy.1","zy.2","zy.3") ) plot_cells(cds, color_cells_by="cell_type2", graph_label_size = 4, cell_size = 2, group_label_size = 6)+ scale_color_manual(values = my_color) plot_cells(cds, graph_label_size = 6, cell_size = 1, color_cells_by="pseudotime", group_label_size = 6) ## Cells aren't colored in a way that allows them to be grouped. pdata_cds <- pData(cds) pdata_cds$pseudotime_monocle3 <- monocle3::pseudotime(cds) ggplot(as.data.frame(pdata_cds), aes(x = pseudotime_monocle3, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("monocle3 pseudotime") + ylab("Timepoint") + ggtitle("Cells ordered by monocle3 pseudotime") deng_SCE$pseudotime_monocle3 <- pdata_cds$pseudotime_monocle3 It did not work well for our small Smart-seq2 dataset. 11.4.3 Diffusion maps Diffusion maps were introduced by Ronald Coifman and Stephane Lafon(Coifman and Lafon 2006), and the underlying idea is to assume that the data are samples from a diffusion process. The method infers the low-dimensional manifold by estimating the eigenvalues and eigenvectors for the diffusion operator related to the data. Angerer et al(Angerer et al. 2016) have applied the diffusion maps concept to the analysis of single-cell RNA-seq data to create an R package called destiny. We will take the ranko prder of cells in the first diffusion map component as “diffusion map pseudotime†here. deng <- logcounts(deng_SCE) colnames(deng) <- cellLabels dm <- DiffusionMap(t(deng)) tmp <- data.frame(DC1 = eigenvectors(dm)[,1], DC2 = eigenvectors(dm)[,2], Timepoint = deng_SCE$cell_type2) ggplot(tmp, aes(x = DC1, y = DC2, colour = Timepoint)) + geom_point() + scale_color_manual(values = my_color) + xlab("Diffusion component 1") + ylab("Diffusion component 2") + theme_classic() deng_SCE$pseudotime_diffusionmap <- rank(eigenvectors(dm)[,1]) ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_diffusionmap, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("Diffusion map pseudotime (first diffusion map component)") + ylab("Timepoint") + ggtitle("Cells ordered by diffusion map pseudotime") Like the other methods, using the first diffusion map component from destiny as pseudotime does a good job at ordering the early time-points (if we take high values as “earlier†in developement), but it is unable to distinguish the later ones. Exercise 2 Do you get a better resolution between the later time points by considering additional eigenvectors? Exercise 3 How does the ordering change if you only use the genes identified by M3Drop? 11.5 Other methods 11.5.1 SLICER The SLICER(Welch, Hartemink, and Prins 2016) method is an algorithm for constructing trajectories that describe gene expression changes during a sequential biological process, just as Monocle and TSCAN are. SLICER is designed to capture highly nonlinear gene expression changes, automatically select genes related to the process, and detect multiple branch and loop features in the trajectory (Welch, Hartemink, and Prins 2016). The SLICER R package is available from its GitHub repository and can be installed from there using the devtools package. We use the select_genes function in SLICER to automatically select the genes to use in builing the cell trajectory. The function uses “neighbourhood variance†to identify genes that vary smoothly, rather than fluctuating randomly, across the set of cells. Following this, we determine which value of “k†(number of nearest neighbours) yields an embedding that most resembles a trajectory. Then we estimate the locally linear embedding of the cells. library("lle") slicer_genes <- select_genes(t(deng)) k <- select_k(t(deng[slicer_genes,]), kmin = 30, kmax=60) ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates ## finding neighbours ## calculating weights ## computing coordinates slicer_traj_lle <- lle(t(deng[slicer_genes,]), m = 2, k)$Y ## finding neighbours ## calculating weights ## computing coordinates reducedDim(deng_SCE, "LLE") <- slicer_traj_lle plot_df <- data.frame(slicer1 = reducedDim(deng_SCE, "LLE")[,1], slicer2 = reducedDim(deng_SCE, "LLE")[,2], cell_type2 = deng_SCE$cell_type2) ggplot(data = plot_df)+geom_point(mapping = aes(x = slicer1, y = slicer2, color = cell_type2))+ scale_color_manual(values = my_color)+ xlab("LLE component 1") + ylab("LLE component 2") + ggtitle("Locally linear embedding of cells from SLICER")+ theme_classic() With the locally linear embedding computed we can construct a k-nearest neighbour graph that is fully connected. This plot displays a (yellow) circle for each cell, with the cell ID number overlaid in blue. Here we show the graph computed using 10 nearest neighbours. Here, SLICER appears to detect one major trajectory with one branch. slicer_traj_graph <- conn_knn_graph(slicer_traj_lle, 10) plot(slicer_traj_graph, main = "Fully connected kNN graph from SLICER") From this graph we can identify “extreme†cells that are candidates for start/end cells in the trajectory. ends <- find_extreme_cells(slicer_traj_graph, slicer_traj_lle) start <- ends[1] Having defined a start cell we can order the cells in the estimated pseudotime. pseudotime_order_slicer <- cell_order(slicer_traj_graph, start) branches <- assign_branches(slicer_traj_graph, start) pseudotime_slicer <- data.frame( Timepoint = cellLabels, pseudotime = NA, State = branches ) pseudotime_slicer$pseudotime[pseudotime_order_slicer] <- 1:length(pseudotime_order_slicer) deng_SCE$pseudotime_slicer <- pseudotime_slicer$pseudotime We can again compare the inferred pseudotime to the known sampling timepoints. SLICER does not provide a pseudotime value per se, just an ordering of cells. ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_slicer, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("SLICER pseudotime (cell ordering)") + ylab("Timepoint") + theme_classic() Like the previous method, SLICER (Welch, Hartemink, and Prins 2016) here provides a good ordering for the early time points. It places “16cell†cells before “8cell†cells, but provides better ordering for blast cells than many of the earlier methods. Exercise 4 How do the results change for different k? (e.g. k = 5) What about changing the number of nearest neighbours in the call to conn_knn_graph? Exercise 5 How does the ordering change if you use a different set of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)? 11.5.2 Ouija Ouija (http://kieranrcampbell.github.io/ouija/) takes a different approach from the pseudotime estimation methods we have looked at so far. Earlier methods have all been “unsupervisedâ€, which is to say that apart from perhaps selecting informative genes we do not supply the method with any prior information about how we expect certain genes or the trajectory as a whole to behave. Ouija, in contrast, is a probabilistic framework that allows for interpretable learning of single-cell pseudotimes using only small panels of marker genes. This method: infers pseudotimes from a small number of marker genes letting you understand why the pseudotimes have been learned in terms of those genes; provides parameter estimates (with uncertainty) for interpretable gene regulation behaviour (such as the peak time or the upregulation time); has a Bayesian hypothesis test to find genes regulated before others along the trajectory; identifies metastable states, ie discrete cell types along the continuous trajectory. We will supply the following marker genes to Ouija (with timepoints where they are expected to be highly expressed): Early timepoints: Dazl, Rnf17, Sycp3, Nanog, Pou5f1, Fgf8, Egfr, Bmp5, Bmp15 Mid timepoints: Zscan4b, Foxa1, Prdm14, Sox21 Late timepoints: Creb3, Gpx4, Krt8, Elf5, Eomes, Cdx2, Tdgf1, Gdf3 With Ouija we can model genes as either exhibiting monotonic up or down regulation (known as switch-like behaviour), or transient behaviour where the gene briefly peaks. By default, Ouija assumes all genes exhibit switch-like behaviour (the authors assure us not to worry if we get it wrong - the noise model means incorrectly specifying a transient gene as switch-like has minimal effect). Here we can “cheat†a little and check that our selected marker genes do actually identify different timepoints of the differentiation process. ouija_markers_down <- c("Dazl", "Rnf17", "Sycp3", "Fgf8", "Egfr", "Bmp5", "Bmp15", "Pou5f1") ouija_markers_up <- c("Creb3", "Gpx4", "Krt8", "Elf5", "Cdx2", "Tdgf1", "Gdf3", "Eomes") ouija_markers_transient <- c("Zscan4b", "Foxa1", "Prdm14", "Sox21") ouija_markers <- c(ouija_markers_down, ouija_markers_up, ouija_markers_transient) plotExpression(deng_SCE, ouija_markers, x = "cell_type2", colour_by = "cell_type2") + theme(axis.text.x = element_text(angle = 60, hjust = 1)) In order to fit the pseudotimes wesimply call ouija, passing in the expected response types. Note that if no response types are provided then they are all assumed to be switch-like by default, which we will do here. The input to Ouija can be a cell-by-gene matrix of non-negative expression values, or an ExpressionSet object, or, happily, by selecting the logcounts values from a SingleCellExperiment object. We can apply prior information about whether genes are up- or down-regulated across the differentiation process, and also provide prior information about when the switch in expression or a peak in expression is likely to occur. We can fit the Ouija model using either: Hamiltonian Monte Carlo (HMC) - full MCMC inference where gradient information of the log-posterior is used to “guide†the random walk through the parameter space, or Automatic Differentiation Variational Bayes (ADVI or simply VI) - approximate inference where the KL divergence to an approximate distribution is minimised. In general, HMC will provide more accurate inference with approximately correct posterior variance for all parameters. However, VB is orders of magnitude quicker than HMC and while it may underestimate posterior variance, the Ouija authors suggest that anecdotally it often performs as well as HMC for discovering posterior pseudotimes. To help the Ouija model, we provide it with prior information about the strength of switches for up- and down-regulated genes. By setting switch strength to -10 for down-regulated genes and 10 for up-regulated genes with a prior strength standard deviation of 0.5 we are telling the model that we are confident about the expected behaviour of these genes across the differentiation process. options(mc.cores = parallel::detectCores()) response_type <- c(rep("switch", length(ouija_markers_down) + length(ouija_markers_up)), rep("transient", length(ouija_markers_transient))) switch_strengths <- c(rep(-10, length(ouija_markers_down)), rep(10, length(ouija_markers_up))) switch_strength_sd <- c(rep(0.5, length(ouija_markers_down)), rep(0.5, length(ouija_markers_up))) garbage <- capture.output( oui_vb <- ouija(deng_SCE[ouija_markers,], single_cell_experiment_assay = "logcounts", response_type = response_type, switch_strengths = switch_strengths, switch_strength_sd = switch_strength_sd, inference_type = "vb") ) print(oui_vb) ## A Ouija fit with 268 cells and 20 marker genes ## Inference type: Variational Bayes ## (Gene behaviour) Switch/transient: 16 / 4 We can plot the gene expression over pseudotime along with the maximum a posteriori (MAP) estimates of the mean function (the sigmoid or Gaussian transient function) using the plot_expression function. plot_expression(oui_vb) We can also visualise when in the trajectory gene regulation behaviour occurs, either in the form of the switch time or the peak time (for switch-like or transient genes) using the plot_switch_times and plot_transient_times functions: plot_switch_times(oui_vb) plot_peak_times(oui_vb) Identify metastable states using consistency matrices. cmo <- consistency_matrix(oui_vb) plot_consistency(oui_vb) cell_classifications <- cluster_consistency(cmo) map_pst <- map_pseudotime(oui_vb) ouija_pseudotime <- data.frame(map_pst, cell_classifications) ggplot(ouija_pseudotime, aes(x = map_pst, y = cell_classifications)) + geom_point() + xlab("MAP pseudotime") + ylab("Cell classification") deng_SCE$pseudotime_ouija <- ouija_pseudotime$map_pst deng_SCE$ouija_cell_class <- ouija_pseudotime$cell_classifications ggplot(as.data.frame(colData(deng_SCE)), aes(x = pseudotime_ouija, y = cell_type2, colour = cell_type2)) + geom_quasirandom(groupOnX = FALSE) + scale_color_manual(values = my_color) + theme_classic() + xlab("Ouija pseudotime") + ylab("Timepoint") + theme_classic() Ouija does quite well in the ordering of the cells here, although it can be sensitive to the choice of marker genes and prior information supplied. How do the results change if you select different marker genes or change the priors? Ouija identifies four metastable states here, which we might annotate as “zygote/2cellâ€, “4/8/16 cellâ€, “blast1†and “blast2â€. ggplot(as.data.frame(colData(deng_SCE)), aes(x = as.factor(ouija_cell_class), y = pseudotime_ouija, colour = cell_type2)) + geom_boxplot() + coord_flip() + scale_color_manual(values = my_color) + theme_classic() + xlab("Ouija cell classification") + ylab("Ouija pseudotime") + theme_classic() A common analysis is to work out the regulation orderings of genes. For example, is gene A upregulated before gene B? Does gene C peak before the downregulation of gene D? Ouija answers these questions in terms of a Bayesian hypothesis test of whether the difference in regulation timing (either switch time or peak time) is significantly different to 0. This is collated using the gene_regulation function. gene_regs <- gene_regulation(oui_vb) head(gene_regs) ## # A tibble: 6 x 7 ## # Groups: label, gene_A [6] ## label gene_A gene_B mean_difference lower_95 upper_95 significant ## <chr> <chr> <chr> <dbl> <dbl> <dbl> <lgl> ## 1 Bmp15 - Cdx2 Bmp15 Cdx2 -0.0631 -0.109 -0.0133 TRUE ## 2 Bmp15 - Creb3 Bmp15 Creb3 0.269 0.201 0.321 TRUE ## 3 Bmp15 - Elf5 Bmp15 Elf5 -0.678 -0.718 -0.644 TRUE ## 4 Bmp15 - Eomes Bmp15 Eomes 0.0822 0.00272 0.156 TRUE ## 5 Bmp15 - Foxa1 Bmp15 Foxa1 -0.0211 -0.0508 0.0120 FALSE ## 6 Bmp15 - Gdf3 Bmp15 Gdf3 0.0644 0.0163 0.126 TRUE What conclusions can you draw from the gene regulation output from Ouija? If you have time, you might try the HMC inference method and see if that changes the Ouija results in any way. 11.6 Comparison of the methods How do the trajectories inferred by TSCAN, Monocle, Diffusion Map, SLICER and Ouija compare? TSCAN and Diffusion Map methods get the trajectory the “wrong way roundâ€, so we’ll adjust that for these comparisons. df_pseudotime <- as.data.frame( colData(deng_SCE)[, grep("pseudotime", colnames(colData(deng_SCE)))] ) colnames(df_pseudotime) <- gsub("pseudotime_", "", colnames(df_pseudotime)) df_pseudotime$PC1 <- reducedDim(deng_SCE,"PCA")[,1] df_pseudotime$order_tscan <- -df_pseudotime$order_tscan #df_pseudotime$diffusionmap <- df_pseudotime$diffusionmap df_pseudotime$slingshot1 <- colData(deng_SCE)$slingPseudotime_1 corrplot.mixed(cor(df_pseudotime, use = "na.or.complete"), order = "hclust", tl.col = "black", main = "Correlation matrix for pseudotime results", mar = c(0, 0, 3.1, 0)) We see here that Ouija, TSCAN and SLICER all give trajectories that are similar and strongly correlated with PC1. Diffusion Map is less strongly correlated with these methods, and Monocle gives very different results. 11.7 Expression of genes through time Each package also enables the visualization of expression through pseudotime. Following individual genes is very helpful for identifying genes that play an important role in the differentiation process. We illustrate the procedure using the Nanog gene. We have added the pseudotime values computed with all methods here to the colData slot of an SCE object. Having done that, the full plotting capabilities of the scater package can be used to investigate relationships between gene expression, cell populations and pseudotime. This is particularly useful for the packages such as SLICER that do not provide plotting functions. Principal components deng_SCE$PC1 <- reducedDim(deng_SCE,"PCA")[,1] plotExpression(deng_SCE, "Nanog", x = "PC1", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) TSCAN plotExpression(deng_SCE, "Nanog", x = "pseudotime_order_tscan", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Monocle plotExpression(deng_SCE, "Nanog", x = "pseudotime_monocle2", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Diffusion Map plotExpression(deng_SCE, "Nanog", x = "pseudotime_diffusionmap", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) SLICER plotExpression(deng_SCE, "Nanog", x = "pseudotime_slicer", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Ouija plotExpression(deng_SCE, "Nanog", x = "pseudotime_ouija", colour_by = "cell_type2", show_violin = FALSE, show_smooth = TRUE) Q: How many of these methods outperform the naive approach of using the first principal component to represent pseudotime for these data? Exercise 7: Repeat the exercise using a subset of the genes, e.g. the set of highly variable genes that can be obtained using one of the methods discussed in the Feature Selection chapter. 11.7.1 dynverse https://dynverse.org/users/2-quick_start/ library(dyno) library(tidyverse) # Reproduces the guidelines as created in the shiny app answers <- dynguidelines::answer_questions( multiple_disconnected = FALSE, expect_topology = TRUE, expected_topology = "linear", n_cells = 3000, n_features = 10000, memory = "100GB", docker = FALSE ) guidelines <- dynguidelines::guidelines(answers = answers) guidelines deng_dataset <- wrap_expression( counts = counts(deng_SCE), expression = assay(deng_SCE,"logcounts") ) model <- infer_trajectory(deng_dataset, first(guidelines$methods_selected)) ## Loading required namespace: hdf5r model <- model %>% add_dimred(dyndimred::dimred_mds, expression_source = deng_dataset$expression) plot_dimred( model, expression_source = deng_dataset$expression, grouping = deng_SCE$cell_type2 ) 11.7.2 sessionInfo() ## R version 3.6.0 (2019-04-26) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 18.04.3 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 ## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1 ## ## locale: ## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 ## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8 ## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] splines parallel stats4 stats graphics grDevices utils ## [8] datasets methods base ## ## other attached packages: ## [1] rstan_2.19.2 StanHeaders_2.19.0 ## [3] lle_1.1 snowfall_1.84-6.1 ## [5] snow_0.4-3 MASS_7.3-51.1 ## [7] scatterplot3d_0.3-41 monocle3_0.2.0 ## [9] gam_1.16.1 foreach_1.4.7 ## [11] ouija_0.99.0 Rcpp_1.0.2 ## [13] SLICER_0.2.0 slingshot_1.2.0 ## [15] princurve_2.1.4 Polychrome_1.2.3 ## [17] corrplot_0.84 ggbeeswarm_0.6.0 ## [19] ggthemes_4.2.0 scater_1.12.2 ## [21] destiny_2.14.0 monocle_2.12.0 ## [23] DDRTree_0.1.5 irlba_2.3.3 ## [25] VGAM_1.1-1 ggplot2_3.2.1 ## [27] Matrix_1.2-17 M3Drop_1.10.0 ## [29] numDeriv_2016.8-1.1 TSCAN_1.22.0 ## [31] SingleCellExperiment_1.6.0 SummarizedExperiment_1.14.1 ## [33] DelayedArray_0.10.0 BiocParallel_1.18.1 ## [35] matrixStats_0.55.0 Biobase_2.44.0 ## [37] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0 ## [39] IRanges_2.18.3 S4Vectors_0.22.1 ## [41] BiocGenerics_0.30.0 ## ## loaded via a namespace (and not attached): ## [1] rgl_0.100.30 rsvd_1.0.2 ## [3] vcd_1.4-4 Hmisc_4.2-0 ## [5] zinbwave_1.6.0 corpcor_1.6.9 ## [7] ps_1.3.0 class_7.3-15 ## [9] lmtest_0.9-37 glmnet_2.0-18 ## [11] crayon_1.3.4 laeken_0.5.0 ## [13] nlme_3.1-139 backports_1.1.4 ## [15] qlcMatrix_0.9.7 rlang_0.4.0 ## [17] XVector_0.24.0 readxl_1.3.1 ## [19] callr_3.3.2 limma_3.40.6 ## [21] phylobase_0.8.6 smoother_1.1 ## [23] manipulateWidget_0.10.0 bit64_0.9-7 ## [25] loo_2.1.0 glue_1.3.1 ## [27] pheatmap_1.0.12 rngtools_1.4 ## [29] splancs_2.01-40 processx_3.4.1 ## [31] vipor_0.4.5 AnnotationDbi_1.46.1 ## [33] haven_2.1.1 tidyselect_0.2.5 ## [35] rio_0.5.16 XML_3.98-1.20 ## [37] tidyr_1.0.0 zoo_1.8-6 ## [39] xtable_1.8-4 magrittr_1.5 ## [41] evaluate_0.14 bibtex_0.4.2 ## [43] cli_1.1.0 zlibbioc_1.30.0 ## [45] rstudioapi_0.10 miniUI_0.1.1.1 ## [47] sp_1.3-1 rpart_4.1-15 ## [49] locfdr_1.1-8 RcppEigen_0.3.3.5.0 ## [51] shiny_1.3.2 BiocSingular_1.0.0 ## [53] xfun_0.9 leidenbase_0.1.0 ## [55] inline_0.3.15 pkgbuild_1.0.5 ## [57] cluster_2.1.0 caTools_1.17.1.2 ## [59] sgeostat_1.0-27 tibble_2.1.3 ## [61] ggrepel_0.8.1 ape_5.3 ## [63] stabledist_0.7-1 zeallot_0.1.0 ## [65] withr_2.1.2 bitops_1.0-6 ## [67] slam_0.1-45 ranger_0.11.2 ## [69] plyr_1.8.4 cellranger_1.1.0 ## [71] pcaPP_1.9-73 sparsesvd_0.2 ## [73] coda_0.19-3 e1071_1.7-2 ## [75] RcppParallel_4.4.3 pillar_1.4.2 ## [77] gplots_3.0.1.1 reldist_1.6-6 ## [79] kernlab_0.9-27 TTR_0.23-5 ## [81] ellipsis_0.3.0 tripack_1.3-8 ## [83] DelayedMatrixStats_1.6.1 xts_0.11-2 ## [85] vctrs_0.2.0 NMF_0.21.0 ## [87] tools_3.6.0 foreign_0.8-70 ## [89] rncl_0.8.3 beeswarm_0.2.3 ## [91] munsell_0.5.0 proxy_0.4-23 ## [93] HSMMSingleCell_1.4.0 compiler_3.6.0 ## [95] abind_1.4-5 httpuv_1.5.2 ## [97] pkgmaker_0.27 GenomeInfoDbData_1.2.1 ## [99] gridExtra_2.3 edgeR_3.26.8 ## [101] lattice_0.20-38 deldir_0.1-23 ## [103] utf8_1.1.4 later_0.8.0 ## [105] dplyr_0.8.3 jsonlite_1.6 ## [107] scales_1.0.0 docopt_0.6.1 ## [109] carData_3.0-2 genefilter_1.66.0 ## [111] lazyeval_0.2.2 promises_1.0.1 ## [113] spatstat_1.61-0 car_3.0-3 ## [115] doParallel_1.0.15 latticeExtra_0.6-28 ## [117] R.utils_2.9.0 goftest_1.1-1 ## [119] spatstat.utils_1.13-0 checkmate_1.9.4 ## [121] cowplot_1.0.0 rmarkdown_1.15 ## [123] openxlsx_4.1.0.1 statmod_1.4.32 ## [125] webshot_0.5.1 Rtsne_0.15 ## [127] forcats_0.4.0 copula_0.999-19.1 ## [129] softImpute_1.4 uwot_0.1.4 ## [131] igraph_1.2.4.1 HDF5Array_1.12.2 ## [133] survival_2.43-3 yaml_2.2.0 ## [135] htmltools_0.3.6 memoise_1.1.0 ## [137] locfit_1.5-9.1 viridisLite_0.3.0 ## [139] digest_0.6.21 assertthat_0.2.1 ## [141] mime_0.7 densityClust_0.3 ## [143] registry_0.5-1 RSQLite_2.1.2 ## [145] data.table_1.12.2 blob_1.2.0 ## [147] R.oo_1.22.0 RNeXML_2.3.0 ## [149] labeling_0.3 fastICA_1.2-2 ## [151] Formula_1.2-3 Rhdf5lib_1.6.1 ## [153] RCurl_1.95-4.12 hms_0.5.1 ## [155] rhdf5_2.28.0 colorspace_1.4-1 ## [157] base64enc_0.1-3 nnet_7.3-12 ## [159] ADGofTest_0.3 mclust_5.4.5 ## [161] bookdown_0.13 RANN_2.6.1 ## [163] mvtnorm_1.0-11 fansi_0.4.0 ## [165] pspline_1.0-18 VIM_4.8.0 ## [167] R6_2.4.0 grid_3.6.0 ## [169] lifecycle_0.1.0 acepack_1.4.1 ## [171] zip_2.0.4 curl_4.2 ## [173] gdata_2.18.0 robustbase_0.93-5 ## [175] howmany_0.3-1 RcppAnnoy_0.0.13 ## [177] RColorBrewer_1.1-2 MCMCglmm_2.29 ## [179] iterators_1.0.12 alphahull_2.2 ## [181] stringr_1.4.0 htmlwidgets_1.3 ## [183] polyclip_1.10-0 purrr_0.3.2 ## [185] crosstalk_1.0.0 mgcv_1.8-28 ## [187] tensorA_0.36.1 htmlTable_1.13.2 ## [189] clusterExperiment_2.4.4 codetools_0.2-16 ## [191] FNN_1.1.3 gtools_3.8.1 ## [193] prettyunits_1.0.2 gridBase_0.4-7 ## [195] RSpectra_0.15-0 R.methodsS3_1.7.1 ## [197] gtable_0.3.0 DBI_1.0.0 ## [199] highr_0.8 tensor_1.5 ## [201] httr_1.4.1 KernSmooth_2.23-15 ## [203] stringi_1.4.3 progress_1.2.2 ## [205] reshape2_1.4.3 uuid_0.1-2 ## [207] cubature_2.0.3 annotate_1.62.0 ## [209] viridis_0.5.1 xml2_1.2.2 ## [211] combinat_0.0-8 bbmle_1.0.20 ## [213] boot_1.3-20 BiocNeighbors_1.2.0 ## [215] ade4_1.7-13 DEoptimR_1.0-8 ## [217] bit_1.1-14 spatstat.data_1.4-0 ## [219] pkgconfig_2.0.3 gsl_2.1-6 ## [221] knitr_1.25 References "],
+["dechapter.html", "12 Differential Expression (DE) analysis 12.1 Introduction to DE analysis 12.2 DE in a real dataset", " 12 Differential Expression (DE) analysis 12.1 Introduction to DE analysis 12.1.1 Bulk RNA-seq One of the most common types of analyses when working with bulk RNA-seq data is to identify differentially expressed genes. By comparing the genes that change between two or more conditions, e.g. mutant and wild-type or stimulated and unstimulated, it is possible to characterize the molecular mechanisms underlying the change. Several different methods, e.g. edgeR and DESeq2 and more, have been developed for bulk RNA-seq and become established as parts of robust and widely-used analysis workflows. Moreover, there are also extensive datasets available where the RNA-seq data has been validated using RT-qPCR. These data can be used to benchmark DE finding algorithms and the available evidence suggests that the algorithms are performing well. 12.1.2 Single cell RNA-seq In contrast to bulk RNA-seq, in scRNA-seq we often do not have a defined set of experimental conditions. Instead, as was shown in a previous chapter (10.2) we can identify the cell groups by using an unsupervised clustering approach. Once the groups have been identified one can find differentially expressed genes either by comparing the differences in variance between the groups (like the Kruskal-Wallis test implemented in SC3), or by comparing gene expression between clusters in a pairwise manner. In the following chapter we will mainly consider tools developed for pairwise comparisons. These method may also be applied when comparing cells obtained from different groups or conditions. Such analyses can be complicated by differing cell type proportions between samples (i.e. distinct samples cell populations; the unit of replication in the study). In such cases, it is likely beneficial to identify distinct cell types and conduct differential expression testing between conditions within each cell type. 12.1.3 Differences in Distribution Unlike bulk RNA-seq, we generally have a large number of samples (i.e. cells) for each group we are comparing in single-cell experiments. Thus we may be able to take advantage of the whole distribution of expression values in each group to identify differences between groups rather than only comparing estimates of mean-expression as is standard for bulk RNASeq. There are two main approaches to comparing distributions. Firstly, we can use existing statistical models/distributions and fit the same type of model to the expression in each group then test for differences in the parameters for each model, or test whether the model fits better if a particular parameter is allowed to be different according to group. For instance in Chapter ?? we used edgeR to test whether allowing mean expression to be different in different batches significantly improved the fit of a negative binomial model of the data. Alternatively, we can use a non-parametric test which does not assume that expression values follow any particular distribution, e.g. the Kolmogorov-Smirnov test (KS-test). Non-parametric tests generally convert observed expression values to ranks and test whether the distribution of ranks for one group are signficantly different from the distribution of ranks for the other group. However, some non-parametric methods fail in the presence of a large number of tied values, such as the case for dropouts (zeros) in single-cell RNA-seq expression data. Moreover, if the conditions for a parametric test hold, then it will typically be more powerful than a non-parametric test. 12.1.4 Benchmarking of DE methods for scRNA-seq data So far there has been one high-quality benchmarking study of single-cell differential expression methods (Soneson and Robinson 2018). The figure below summarises the results from that paper (which is well worth reading in full!): knitr::include_graphics("figures/soneson-de-benchmark-fig5.png") Figure 12.1: Figure 5 reproduced from Soneson and Robinson (2018). Summary of DE method performance across all major evaluation criteria. Criteria and cutoff values for performance categories are available in the Online Methods. Methods are ranked by their average performance across the criteria, with the numerical encoding good = 2, intermediate = 1, poor = 0. NODES and SAMseq do not return nominal P values and were therefore not evaluated in terms of the FPR. One particularly surprising outcome of this benchmarking study is that almost all methods designed specifically for the analysis of scRNA-seq data are outperformed by established bulk RNA-seq DE methods (edgeR, limma) and standard, classical statistical methods (t-test, Wilcoxon rank-sum tests). MAST (Finak et al. 2015) is the only method designed specifically for scRNA-seq data that performs well in this benchmark. These benchmarking results are a credit to the durability and flexibility of the leading bulk RNA-seq DE methods and a subtle indictment of the land rush of new scRNA-seq methods that were published without adequate comparison to existing bulk RNA-seq methods. 12.1.5 Models of single-cell RNA-seq data The most common model of RNASeq data is the negative binomial model: set.seed(1) hist( rnbinom( 1000, mu = 10, size = 100), col = "grey50", xlab = "Read Counts", main = "Negative Binomial" ) Figure 12.2: Negative Binomial distribution of read counts for a single gene across 1000 cells Mean: \\(\\mu = mu\\) Variance: \\(\\sigma^2 = mu + mu^2/size\\) It is parameterized by the mean expression (mu) and the dispersion (size), which is inversely related to the variance. The negative binomial model fits bulk RNA-seq data very well and it is used for most statistical methods designed for such data. In addition, it has been show to fit the distribution of molecule counts obtained from data tagged by unique molecular identifiers (UMIs) quite well (Grun et al. 2014, Islam et al. 2011). However, a raw negative binomial model does not necessarily fit full-length transcript data as well due to the high dropout rates relative to the non-zero read counts. For this type of data a variety of zero-inflated negative binomial models have been proposed (e.g. MAST, SCDE). d <- 0.5; counts <- rnbinom( 1000, mu = 10, size = 100 ) counts[runif(1000) < d] <- 0 hist( counts, col = "grey50", xlab = "Read Counts", main = "Zero-inflated NB" ) Figure 12.3: Zero-inflated Negative Binomial distribution Mean: \\(\\mu = mu \\cdot (1 - d)\\) Variance: \\(\\sigma^2 = \\mu \\cdot (1-d) \\cdot (1 + d \\cdot \\mu + \\mu / size)\\) These models introduce a new parameter \\(d\\), for the dropout rate, to the negative binomial model. As we saw in Chapter 19, the dropout rate of a gene is strongly correlated with the mean expression of the gene. Different zero-inflated negative binomial models use different relationships between mu and d and some may fit \\(\\mu\\) and \\(d\\) to the expression of each gene independently. Finally, several methods use a Poisson-Beta distribution which is based on a mechanistic model of transcriptional bursting. There is strong experimental support for this model (Kim and Marioni, 2013) and it provides a good fit to scRNA-seq data but it is less easy to use than the negative-binomial models and much less existing methods upon which to build than the negative binomial model. a <- 0.1 b <- 0.1 g <- 100 lambdas <- rbeta(1000, a, b) counts <- sapply(g*lambdas, function(l) {rpois(1, lambda = l)}) hist( counts, col = "grey50", xlab = "Read Counts", main = "Poisson-Beta" ) Mean: \\(\\mu = g \\cdot a / (a + b)\\) Variance: \\(\\sigma^2 = g^2 \\cdot a \\cdot b/((a + b + 1) \\cdot (a + b)^2)\\) This model uses three parameters: \\(a\\) the rate of activation of transcription; \\(b\\) the rate of inhibition of transcription; and \\(g\\) the rate of transcript production while transcription is active at the locus. Differential expression methods may test each of the parameters for differences across groups or only one (often \\(g\\)). All of these models may be further expanded to explicitly account for other sources of gene expression differences such as batch-effect or library depth depending on the particular DE algorithm. Exercise: Vary the parameters of each distribution to explore how they affect the distribution of gene expression. How similar are the Poisson-Beta and Negative Binomial models? 12.2 DE in a real dataset library(scRNA.seq.funcs) library(edgeR) library(monocle) library(MAST) library(ROCR) set.seed(1) 12.2.1 Introduction To test different single-cell differential expression methods we will be using the Blischak dataset from Chapters 7-17. For this experiment bulk RNA-seq data for each cell-line was generated in addition to single-cell data. We will use the differentially expressed genes identified using standard methods on the respective bulk data as the ground truth for evaluating the accuracy of each single-cell method. To save time we have pre-computed these for you. You can run the commands below to load these data. DE <- read.table("data/tung/TPs.txt") notDE <- read.table("data/tung/TNs.txt") GroundTruth <- list( DE = as.character(unlist(DE)), notDE = as.character(unlist(notDE)) ) This ground truth has been produce for the comparison of individual NA19101 to NA19239. Now load the respective single-cell data: molecules <- read.table("data/tung/molecules.txt", sep = "\\t") anno <- read.table("data/tung/annotation.txt", sep = "\\t", header = TRUE) keep <- anno[,1] == "NA19101" | anno[,1] == "NA19239" data <- molecules[,keep] group <- anno[keep,1] batch <- anno[keep,4] # remove genes that aren't expressed in at least 6 cells gkeep <- rowSums(data > 0) > 5; counts <- data[gkeep,] # Library size normalization lib_size = colSums(counts) norm <- t(t(counts)/lib_size * median(lib_size)) # Variant of CPM for datasets with library sizes of fewer than 1 mil molecules Now we will compare various single-cell DE methods. We will focus on methods that performed well in Soneson and Robinson’s [2019; CITE] detailed comparison of differential expression methods for single-cell data. Note that we will only be running methods which are available as R-packages and run relatively quickly. 12.2.2 Kolmogorov-Smirnov test The types of test that are easiest to work with are non-parametric ones. The most commonly used non-parametric test is the Kolmogorov-Smirnov test (KS-test) and we can use it to compare the distributions for each gene in the two individuals. The KS-test quantifies the distance between the empirical cummulative distributions of the expression of each gene in each of the two populations. It is sensitive to changes in mean experession and changes in variability. However it assumes data is continuous and may perform poorly when data contains a large number of identical values (eg. zeros). Another issue with the KS-test is that it can be very sensitive for large sample sizes and thus it may end up as significant even though the magnitude of the difference is very small. Now run the test: pVals <- apply( norm, 1, function(x) { ks.test( x[group == "NA19101"], x[group == "NA19239"] )$p.value } ) # multiple testing correction pVals <- p.adjust(pVals, method = "fdr") This code “applies†the function to each row (specified by 1) of the expression matrix, data. In the function we are returning just the p.value from the ks.test output. We can now consider how many of the ground truth positive and negative DE genes are detected by the KS-test: 12.2.2.1 Evaluating Accuracy sigDE <- names(pVals)[pVals < 0.05] length(sigDE) # Number of KS-DE genes sum(GroundTruth$DE %in% sigDE) # Number of KS-DE genes that are true DE genes sum(GroundTruth$notDE %in% sigDE) # Number of KS-DE genes that are truly not-DE As you can see many more of our ground truth negative genes were identified as DE by the KS-test (false positives) than ground truth positive genes (true positives), however this may be due to the larger number of notDE genes thus we typically normalize these counts as the True positive rate (TPR), TP/(TP + FN), and False positive rate (FPR), FP/(FP+TP). tp <- sum(GroundTruth$DE %in% sigDE) fp <- sum(GroundTruth$notDE %in% sigDE) tn <- sum(GroundTruth$notDE %in% names(pVals)[pVals >= 0.05]) fn <- sum(GroundTruth$DE %in% names(pVals)[pVals >= 0.05]) tpr <- tp/(tp + fn) fpr <- fp/(fp + tn) cat(c(tpr, fpr)) Now we can see the TPR is much higher than the FPR indicating the KS test is identifying DE genes. So far we’ve only evaluated the performance at a single significance threshold. Often it is informative to vary the threshold and evaluate performance across a range of values. This is then plotted as a receiver-operating-characteristic curve (ROC) and a general accuracy statistic can be calculated as the area under this curve (AUC). We will use the ROCR package to facilitate this plotting. # Only consider genes for which we know the ground truth pVals <- pVals[names(pVals) %in% GroundTruth$DE | names(pVals) %in% GroundTruth$notDE] truth <- rep(1, times = length(pVals)); truth[names(pVals) %in% GroundTruth$DE] = 0; pred <- ROCR::prediction(pVals, truth) perf <- ROCR::performance(pred, "tpr", "fpr") ROCR::plot(perf) aucObj <- ROCR::performance(pred, "auc") aucObj@y.values[[1]] # AUC Finally to facilitate the comparisons of other DE methods let’s put this code into a function so we don’t need to repeat it: DE_Quality_AUC <- function(pVals) { pVals <- pVals[names(pVals) %in% GroundTruth$DE | names(pVals) %in% GroundTruth$notDE] truth <- rep(1, times = length(pVals)); truth[names(pVals) %in% GroundTruth$DE] = 0; pred <- ROCR::prediction(pVals, truth) perf <- ROCR::performance(pred, "tpr", "fpr") ROCR::plot(perf) aucObj <- ROCR::performance(pred, "auc") return(aucObj@y.values[[1]]) } 12.2.3 Wilcox/Mann-Whitney-U Test The Wilcox-rank-sum test is another non-parametric test, but tests specifically if values in one group are greater/less than the values in the other group. Thus it is often considered a test for difference in median expression between two groups; whereas the KS-test is sensitive to any change in distribution of expression values. pVals <- apply( norm, 1, function(x) { wilcox.test( x[group == "NA19101"], x[group == "NA19239"] )$p.value } ) # multiple testing correction pVals <- p.adjust(pVals, method = "fdr") DE_Quality_AUC(pVals) 12.2.4 edgeR We’ve already used edgeR for differential expression in Chapter ??. edgeR is based on a negative binomial model of gene expression and uses a generalized linear model (GLM) framework, the enables us to include other factors such as batch to the model. dge <- DGEList( counts = counts, norm.factors = rep(1, length(counts[1,])), group = group ) group_edgeR <- factor(group) design <- model.matrix(~ group_edgeR) dge <- estimateDisp(dge, design = design, trend.method = "none") fit <- glmFit(dge, design) res <- glmLRT(fit) pVals <- res$table[,4] names(pVals) <- rownames(res$table) pVals <- p.adjust(pVals, method = "fdr") DE_Quality_AUC(pVals) 12.2.5 MAST MAST is based on a zero-inflated negative binomial model. It tests for differential expression using a hurdle model to combine tests of discrete (0 vs not zero) and continuous (non-zero values) aspects of gene expression. Again this uses a linear modelling framework to enable complex models to be considered. log_counts <- log(counts + 1) / log(2) fData <- data.frame(names = rownames(log_counts)) rownames(fData) <- rownames(log_counts); cData <- data.frame(cond = group) rownames(cData) <- colnames(log_counts) obj <- FromMatrix(as.matrix(log_counts), cData, fData) colData(obj)$cngeneson <- scale(colSums(assay(obj) > 0)) cond <- factor(colData(obj)$cond) # Model expression as function of condition & number of detected genes zlmCond <- zlm.SingleCellAssay(~ cond + cngeneson, obj) summaryCond <- summary(zlmCond, doLRT = "condNA19101") summaryDt <- summaryCond$datatable summaryDt <- as.data.frame(summaryDt) pVals <- unlist(summaryDt[summaryDt$component == "H",4]) # H = hurdle model names(pVals) <- unlist(summaryDt[summaryDt$component == "H",1]) pVals <- p.adjust(pVals, method = "fdr") DE_Quality_AUC(pVals) 12.2.6 limma 12.2.7 Pseudobulk 12.2.8 sessionInfo() References "],
["imputation.html", "13 Imputation", " 13 Imputation library(scImpute) library(SC3) library(scater) library(SingleCellExperiment) library(mclust) library(DrImpute) set.seed(1234567) As discussed previously, one of the main challenges when analyzing scRNA-seq data is the presence of zeros, or dropouts. The dropouts are assumed to have arisen for three possible reasons: The gene was not expressed in the cell and hence there are no transcripts to sequence The gene was expressed, but for some reason the transcripts were lost somewhere prior to sequencing The gene was expressed and transcripts were captured and turned into cDNA, but the sequencing depth was not sufficient to produce any reads. Thus, dropouts could be result of experimental shortcomings, and if this is the case then we would like to provide computational corrections. One possible solution is to impute the dropouts in the expression matrix. To be able to impute gene expression values, one must have an underlying model. However, since we do not know which dropout events are technical artefacts and which correspond to the transcript being truly absent, imputation is a difficult challenge and prone to creating false-positive results in downstream analysis. There are many different imputation methods available we will consider three fast, published methods: DrImpute and scImpute (Li and Li 2017). DrImpute and scImpute both use a model to determine which zeros are technical and impute only those values. Both use clustering to identify a group of cells that are assumed to have homogenous expression. DrImpute imputes all values that are not consistently zero in all cells of a cluster. Whereas, scImpute uses a zero-inflated normal distribution fit to log-normalized expression values and imputed all inflated zeros. 13.0.1 scImpute To test scImpute, we use the default parameters and we apply it to the Deng dataset that we have worked with before. scImpute takes a .csv or .txt file as an input: deng <- readRDS("data/deng/deng-reads.rds") write.csv(counts(deng), "deng.csv") scimpute( count_path = "deng.csv", infile = "csv", outfile = "txt", out_dir = "./", Kcluster = 10, ncores = 2 ) Now we can compare the results with original data by considering a PCA plot res <- read.table("scimpute_count.txt") colnames(res) <- NULL res <- SingleCellExperiment( assays = list(logcounts = log2(as.matrix(res) + 1)), colData = colData(deng) ) rowData(res)$feature_symbol <- rowData(deng)$feature_symbol plotPCA( res, colour_by = "cell_type2" ) Compare this result to the original data in Chapter 10.2. What are the most significant differences? We can examine the expression of specific genes to directly see the effect of imputation on the expression distribution. plotExpression(res, c("Sox2", "Eomes", "Zscan4d", "Fgf4")) plotExpression(deng, c("Sox2", "Eomes", "Zscan4d", "Fgf4")) To evaluate the impact of the imputation, we use SC3 to cluster the imputed matrix res <- sc3_estimate_k(res) metadata(res)$sc3$k_estimation res <- sc3(res, ks = 10, n_cores = 1, gene_filter = FALSE) adjustedRandIndex(colData(deng)$cell_type2, colData(res)$sc3_10_clusters) plotPCA( res, colour_by = "sc3_10_clusters" ) Exercise: Based on the PCA and the clustering results, do you think that imputation using scImpute is a good idea for the Deng dataset? 13.0.2 DrImpute We can do the same for DrImpute. DrImpute runs on a log-normalized expression matrix directly in R, we generate this matrix using scater, then run DrImpute. Unlike scImpute, DrImpute considers the consensus imputation across a range of ks using two differ correlation distances: deng <- normalize(deng) res <- DrImpute(deng@assays[["logcounts"]], ks=8:12) colnames(res) <- colnames(deng) rownames(res) <- rownames(deng) res <- SingleCellExperiment( assays = list(logcounts = as.matrix(res)), colData = colData(deng) ) rowData(res)$feature_symbol <- rowData(deng)$feature_symbol plotPCA( res, colour_by = "cell_type2" ) plotExpression(res, c("Sox2", "Eomes", "Zscan4d", "Fgf4")) Exercise: Check the sc3 clustering of the DrImpute matrix, do you think that imputation using DrImpute is a good idea for the Deng dataset? Exercise: What is the difference between scImpute and DrImpute based on the PCA and clustering analysis? Which one do you think is best to use? 13.0.3 sessionInfo() References "],
["comparing-and-combining-scrna-seq-datasets.html", "14 Comparing and combining scRNA-seq datasets 14.1 Search scRNA-Seq data", " 14 Comparing and combining scRNA-seq datasets library(scater) library(SingleCellExperiment) 14.0.1 Introduction As more and more scRNA-seq datasets become available, carrying merged_seurat comparisons between them is key. There are two main approaches to comparing scRNASeq datasets. The first approach is “label-centric†which is focused on trying to identify equivalent cell-types/states across datasets by comparing individual cells or groups of cells. The other approach is “cross-dataset normalization†which attempts to computationally remove experiment-specific technical/biological effects so that data from multiple experiments can be combined and jointly analyzed. The label-centric approach can be used with dataset with high-confidence cell-annotations, e.g. the Human Cell Atlas (HCA) (Regev et al. 2017) or the Tabula Muris (???) once they are completed, to project cells or clusters from a new sample onto this reference to consider tissue composition and/or identify cells with novel/unknown identity. Conceptually, such projections are similar to the popular BLAST method (Altschul et al. 1990), which makes it possible to quickly find the closest match in a database for a newly identified nucleotide or amino acid sequence. The label-centric approach can also be used to compare datasets of similar biological origin collected by different labs to ensure that the annotation and the analysis is consistent. The cross-dataset normalization approach can also be used to compare datasets of similar biological origin, unlike the label-centric approach it enables the join analysis of multiple datasets to facilitate the identification of rare cell-types which may to too sparsely sampled in each individual dataset to be reliably detected. However, cross-dataset normalization is not applicable to very large and diverse references since it assumes a significant portion of the biological variablility in each of the datasets overlaps with others. 14.0.2 Datasets We will running these methods on two human pancreas datasets: (Muraro et al. 2016) and (Segerstolpe et al. 2016). Since the pancreas has been widely studied, these datasets are well annotated. muraro <- readRDS("data/pancreas/muraro.rds") segerstolpe <- readRDS("data/pancreas/segerstolpe.rds") This data has already been formatted for scmap. Cell type labels must be stored in the cell_type1 column of the colData slots, and gene ids that are consistent across both datasets must be stored in the feature_symbol column of the rowData slots. First, lets check our gene-ids match across both datasets: sum(rowData(muraro)$feature_symbol %in% rowData(segerstolpe)$feature_symbol)/nrow(muraro) sum(rowData(segerstolpe)$feature_symbol %in% rowData(muraro)$feature_symbol)/nrow(segerstolpe) Here we can see that 96% of the genes present in muraro match genes in segerstople and 72% of genes in segerstolpe are match genes in muraro. This is as expected because the segerstolpe dataset was more deeply sequenced than the muraro dataset. However, it highlights some of the difficulties in comparing scRNASeq datasets. We can confirm this by checking the overall size of these two datasets. dim(muraro) dim(segerstolpe) In addition, we can check the cell-type annotations for each of these dataset using the command below: summary(factor(colData(muraro)$cell_type1)) summary(factor(colData(segerstolpe)$cell_type1)) Here we can see that even though both datasets considered the same biological tissue the two datasets, they have been annotated with slightly different sets of cell-types. If you are familiar withpancreas biology you might recognize that the pancreatic stellate cells (PSCs) in segerstolpe are a type of mesenchymal stem cell which would fall under the “mesenchymal†type in muraro. However, it isn’t clear whether these two annotations should be considered synonymous or not. We can use label-centric comparison methods to determine if these two cell-type annotations are indeed equivalent. Alternatively, we might be interested in understanding the function of those cells that were “unclassified endocrine†or were deemed too poor quality (“not applicableâ€) for the original clustering in each dataset by leveraging in formation across datasets. Either we could attempt to infer which of the existing annotations they most likely belong to using label-centric approaches or we could try to uncover a novel cell-type among them (or a sub-type within the existing annotations) using cross-dataset normalization. To simplify our demonstration analyses we will remove the small classes of unassigned cells, and the poor quality cells. We will retain the “unclassified endocrine†to see if any of these methods can elucidate what cell-type they belong to. segerstolpe <- segerstolpe[,colData(segerstolpe)$cell_type1 != "unclassified"] segerstolpe <- segerstolpe[,colData(segerstolpe)$cell_type1 != "not applicable",] muraro <- muraro[,colData(muraro)$cell_type1 != "unclear"] 14.0.3 Projecting cells onto annotated cell-types (scmap) library(scmap) set.seed(1234567) We recently developed scmap (Kiselev and Hemberg 2017) - a method for projecting cells from a scRNA-seq experiment onto the cell-types identified in other experiments. Additionally, a cloud version of scmap can be run for free, withmerged_seurat restrictions, from http://www.hemberg-lab.cloud/scmap. 14.0.3.1 Feature Selection Once we have a SingleCellExperiment object we can run scmap. First we have to build the “index†of our reference clusters. Since we want to know whether PSCs and mesenchymal cells are synonymous we will project each dataset to the other so we will build an index for each dataset. This requires first selecting the most informative features for the reference dataset. muraro <- selectFeatures(muraro, suppress_plot = FALSE) Genes highlighted with the red colour will be used in the futher analysis (projection). segerstolpe <- selectFeatures(segerstolpe, suppress_plot = FALSE) From the y-axis of these plots we can see that scmap uses a dropmerged_seurat-based feature selection method. Now calculate the cell-type index: muraro <- indexCluster(muraro) segerstolpe <- indexCluster(segerstolpe) We can also visualize the index: heatmap(as.matrix(metadata(muraro)$scmap_cluster_index)) You may want to adjust your features using the setFeatures function if features are too heavily concentrated in only a few cell-types. In this case the dropmerged_seurat-based features look good so we will just them. Exercise Using the rowData of each dataset how many genes were selected as features in both datasets? What does this tell you abmerged_seurat these datasets? Answer 14.0.3.2 Projecting scmap computes the distance from each cell to each cell-type in the reference index, then applies an empirically derived threshold to determine which cells are assigned to the closest reference cell-type and which are unassigned. To account for differences in sequencing depth distance is calculated using the spearman correlation and cosine distance and only cells with a consistent assignment with both distances are returned as assigned. We will project the segerstolpe dataset to muraro dataset: seger_to_muraro <- scmapCluster( projection = segerstolpe, index_list = list( muraro = metadata(muraro)$scmap_cluster_index ) ) and muraro onto segerstolpe muraro_to_seger <- scmapCluster( projection = muraro, index_list = list( seger = metadata(segerstolpe)$scmap_cluster_index ) ) Note that in each case we are projecting to a single dataset but that this could be extended to any number of datasets for which we have computed indices. Now lets compare the original cell-type labels with the projected labels: table(colData(muraro)$cell_type1, muraro_to_seger$scmap_cluster_labs) Here we can see that cell-types do map to their equivalents in segerstolpe, and importantly we see that all but one of the “mesenchymal†cells were assigned to the “PSC†class. table(colData(segerstolpe)$cell_type1, seger_to_muraro$scmap_cluster_labs) Again we see cell-types match each other and that all but one of the “PSCs†match the “mesenchymal†cells providing strong evidence that these two annotations should be considered synonymous. We can also visualize these tables using a Sankey diagram: plot(getSankey(colData(muraro)$cell_type1, muraro_to_seger$scmap_cluster_labs[,1], plot_height=400)) Exercise How many of the previously unclassified cells would be be able to assign to cell-types using scmap? Answer 14.0.4 Cell-to-Cell mapping scmap can also project each cell in one dataset to its approximate closest neighbouring cell in the reference dataset. This uses a highly optimized search algorithm allowing it to be scaled to very large references (in theory 100,000-millions of cells). However, this process is stochastic so we must fix the random seed to ensure we can reproduce our results. We have already performed feature selection for this dataset so we can go straight to building the index. set.seed(193047) segerstolpe <- indexCell(segerstolpe) muraro <- indexCell(muraro) In this case the index is a series of clusterings of each cell using different sets of features, parameters k and M are the number of clusters and the number of features used in each of these subclusterings. New cells are assigned to the nearest cluster in each subclustering to generate unique pattern of cluster assignments. We then find the cell in the reference dataset with the same or most similar pattern of cluster assignments. We can examine the cluster assignment patterns for the reference datasets using: metadata(muraro)$scmap_cell_index$subclusters[1:5,1:5] To project and find the w nearest neighbours we use a similar command as before: muraro_to_seger <- scmapCell( projection = muraro, index_list = list( seger = metadata(segerstolpe)$scmap_cell_index ), w = 5 ) We can again look at the results: muraro_to_seger$seger[[1]][,1:5] This shows the column number of the 5 nearest neighbours in segerstolpe to each of the cells in muraro. We could then calculate a pseudotime estimate, branch assignment, or other cell-level data by selecting the appropriate data from the colData of the segerstolpe data set. As a demonstration we will find the cell-type of the nearest neighbour of each cell. cell_type_NN <- colData(segerstolpe)$cell_type1[muraro_to_seger$seger[[1]][1,]] head(cell_type_NN) 14.0.5 Metaneighbour Metaneighbour is specifically designed to ask whether cell-type labels are consistent across datasets. It comes in two versions. First is a fully supervised method which assumes cell-types are known in all datasets and calculates how “good†those cell-type labels are. (The precise meaning of “good†will be described below). Alternatively, metaneighbour can estimate how similar all cell-types are to each other both within and across datasets. We will only be using the unsupervised version as it has much more general applicability and is easier to interpret the results of. Metaneighbour compares cell-types across datasets by building a cell-cell spearman correlation network. The method then tries to predict the label of each cell through weighted “votes†of its nearest-neighbours. Then scores the overall similarity between two clusters as the AUROC for assigning cells of typeA to typeB based on these weighted votes. AUROC of 1 would indicate all the cells of typeA were assigned to typeB before any other cells were, and an AUROC of 0.5 is what you would get if cells were being randomly assigned. Metanighbour is just a couple of R functions not a complete package so we have to load them using source source("course_files/utils/2017-08-28-runMN-US.R") 14.0.5.1 Prepare Data Metaneighbour requires all datasets to be combined into a single expression matrix prior to running: is.common <- rowData(muraro)$feature_symbol %in% rowData(segerstolpe)$feature_symbol muraro <- muraro[is.common,] segerstolpe <- segerstolpe[match(rowData(muraro)$feature_symbol, rowData(segerstolpe)$feature_symbol),] rownames(segerstolpe) <- rowData(segerstolpe)$feature_symbol rownames(muraro) <- rowData(muraro)$feature_symbol identical(rownames(segerstolpe), rownames(muraro)) combined_logcounts <- cbind(logcounts(muraro), logcounts(segerstolpe)) dataset_labels <- rep(c("m", "s"), times=c(ncol(muraro), ncol(segerstolpe))) cell_type_labels <- c(colData(muraro)$cell_type1, colData(segerstolpe)$cell_type1) pheno <- data.frame(Sample_ID = colnames(combined_logcounts), Study_ID=dataset_labels, Celltype=paste(cell_type_labels, dataset_labels, sep="-")) rownames(pheno) <- colnames(combined_logcounts) Metaneighbor includes a feature selection method to identify highly variable genes. var.genes = get_variable_genes(combined_logcounts, pheno) Since Metaneighbor is much slower than scmap, we will down sample these datasets. subset <- sample(1:nrow(pheno), 2000) combined_logcounts <- combined_logcounts[,subset] pheno <- pheno[subset,] cell_type_labels <- cell_type_labels[subset] dataset_labels <- dataset_labels[subset] Now we are ready to run Metaneighbor. First we will run the unsupervised version that will let us see which cell-types are most similar across the two datasets. unsup <- run_MetaNeighbor_US(var.genes, combined_logcounts, unique(pheno$Celltype), pheno) heatmap(unsup) 14.0.6 mnnCorrect mnnCorrect corrects datasets to facilitate joint analysis. It order to account for differences in composition between two replicates or two different experiments it first matches invidual cells across experiments to find the overlaping biologicial structure. Using that overlap it learns which dimensions of expression correspond to the biological state and which dimensions correspond to batch/experiment effect; mnnCorrect assumes these dimensions are orthologal to each other in high dimensional expression space. Finally it removes the batch/experiment effects from the entire expression matrix to return the corrected matrix. To match individual cells to each other across datasets, mnnCorrect uses the cosine distance to avoid library-size effect then identifies mututal nearest neighbours (k determines to neighbourhood size) across datasets. Only overlaping biological groups should have mutual nearest neighbours (see panel b below). However, this assumes that k is set to approximately the size of the smallest biological group in the datasets, but a k that is too low will identify too few mutual nearest-neighbour pairs to get a good estimate of the batch effect we want to remove. Learning the biological/techncial effects is done with either singular value decomposition, similar to RUV we encounters in the batch-correction section, or with principal component analysis with the opitimized irlba package, which should be faster than SVD. The parameter svd.dim specifies how many dimensions should be kept to summarize the biological structure of the data, we will set it to three as we found three major groups using Metaneighbor above. These estimates may be futher adjusted by smoothing (sigma) and/or variance adjustment (var.adj). mnnCorrect also assumes you’ve already subset your expression matricies so that they contain identical genes in the same order, fortunately we have already done with for our datasets when we set up our data for Metaneighbor. require("batchelor") # mnnCorrect will take several minutes to run corrected <- mnnCorrect(logcounts(muraro), logcounts(segerstolpe), k=20, sigma=1, pc.approx=TRUE, subset.row=var.genes, svd.dim=3) First let’s check that we found a sufficient number of mnn pairs, mnnCorrect returns a list of dataframe with the mnn pairs for each dataset. dim(corrected$pairs[[1]]) # muraro -> others dim(corrected$pairs[[2]]) # seger -> others The first and second columns contain the cell column IDs and the third column contains a number indicating which dataset/batch the column 2 cell belongs to. In our case, we are only comparing two datasets so all the mnn pairs have been assigned to the second table and the third column contains only ones head(corrected$pairs[[2]]) total_pairs <- nrow(corrected$pairs[[2]]) n_unique_seger <- length(unique((corrected$pairs[[2]][,1]))) n_unique_muraro <- length(unique((corrected$pairs[[2]][,2]))) mnnCorrect found “r total_pairs†sets of mutual nearest-neighbours between n_unique_seger segerstolpe cells and n_unique_muraro muraro cells. This should be a sufficient number of pairs but the low number of unique cells in each dataset suggests we might not have captured the full biological signal in each dataset. Exercise Which cell-types had mnns across these datasets? Should we increase/decrease k? Answer Now we could create a combined dataset to jointly analyse these data. However, the corrected data is no longer counts and usually will contain negative expression values thus some analysis tools may no longer be appropriate. For simplicity let’s just plot a joint TSNE. require("Rtsne") joint_expression_matrix <- cbind(corrected$corrected[[1]], corrected$corrected[[2]]) # Tsne will take some time to run on the full dataset joint_tsne <- Rtsne(t(joint_expression_matrix[rownames(joint_expression_matrix) %in% var.genes,]), initial_dims=10, theta=0.75, check_duplicates=FALSE, max_iter=200, stop_lying_iter=50, mom_switch_iter=50) dataset_labels <- factor(rep(c("m", "s"), times=c(ncol(muraro), ncol(segerstolpe)))) cell_type_labels <- factor(c(colData(muraro)$cell_type1, colData(segerstolpe)$cell_type1)) plot(joint_tsne$Y[,1], joint_tsne$Y[,2], pch=c(16,1)[dataset_labels], col=rainbow(length(levels(cell_type_labels)))[cell_type_labels]) 14.0.7 Cannonical Correlation Analysis (Seurat) The Seurat package contains another correction method for combining multiple datasets, called CCA. However, unlike mnnCorrect it doesn’t correct the expression matrix itself directly. Instead Seurat finds a lower dimensional subspace for each dataset then corrects these subspaces. Also different from mnnCorrect, Seurat only combines a single pair of datasets at a time. Seurat uses gene-gene correlations to identify the biological structure in the dataset with a method called canonical correlation analysis (CCA). Seurat learns the shared structure to the gene-gene correlations and then evaluates how well each cell fits this structure. Cells which must better described by a data-specific dimensionality reduction method than by the shared correlation structure are assumed to represent dataset-specific cell-types/states and are discarded before aligning the two datasets. Finally the two datasets are aligned using ‘warping’ algorithms which normalize the low-dimensional representations of each dataset in a way that is robust to differences in population density. Note because Seurat uses up a lot of library space you will have to restart your R-session to load it, and the plots/output won’t be automatically generated on this page. Reload the data: muraro <- readRDS("data/pancreas/muraro.rds") segerstolpe <- readRDS("data/pancreas/segerstolpe.rds") segerstolpe <- segerstolpe[,colData(segerstolpe)$cell_type1 != "unclassified"] segerstolpe <- segerstolpe[,colData(segerstolpe)$cell_type1 != "not applicable",] muraro <- muraro[,colData(muraro)$cell_type1 != "unclear"] is.common <- rowData(muraro)$feature_symbol %in% rowData(segerstolpe)$feature_symbol muraro <- muraro[is.common,] segerstolpe <- segerstolpe[match(rowData(muraro)$feature_symbol, rowData(segerstolpe)$feature_symbol),] rownames(segerstolpe) <- rowData(segerstolpe)$feature_symbol rownames(muraro) <- rowData(muraro)$feature_symbol identical(rownames(segerstolpe), rownames(muraro)) First we will reformat our data into Seurat objects: require("Seurat") set.seed(4719364) muraro_seurat <- CreateSeuratObject(raw.data=assays(muraro)[["normcounts"]]) # raw counts aren't available for muraro muraro_seurat@meta.data[, "dataset"] <- 1 muraro_seurat@meta.data[, "celltype"] <- paste("m",colData(muraro)$cell_type1, sep="-") seger_seurat <- CreateSeuratObject(raw.data=assays(segerstolpe)[["counts"]]) seger_seurat@meta.data[, "dataset"] <- 2 seger_seurat@meta.data[, "celltype"] <- paste("s",colData(segerstolpe)$cell_type1, sep="-") Next we must normalize, scale and identify highly variable genes for each dataset: muraro_seurat <- NormalizeData(object=muraro_seurat) muraro_seurat <- ScaleData(object=muraro_seurat) muraro_seurat <- FindVariableGenes(object=muraro_seurat, do.plot=TRUE) seger_seurat <- NormalizeData(object=seger_seurat) seger_seurat <- ScaleData(object=seger_seurat) seger_seurat <- FindVariableGenes(object=seger_seurat, do.plot=TRUE) Eventhough Seurat corrects for the relationship between dispersion and mean expression, it doesn’t use the corrected value when ranking features. Compare the results of the command below with the results in the plots above: head(muraro_seurat@hvg.info, 50) head(seger_seurat@hvg.info, 50) But we will follow their example and use the top 2000 most dispersed genes withmerged_seurat correcting for mean expression from each dataset anyway. gene.use <- union(rownames(x = head(x = muraro_seurat@hvg.info, n = 2000)), rownames(x = head(x = seger_seurat@hvg.info, n = 2000))) Exercise Find the features we would use if we selected the top 2000 most dispersed after scaling by mean. (Hint: consider the order function) Answer Now we will run CCA to find the shared correlation structure for these two datasets: Note to speed up the calculations we will be using only the top 5 dimensions but ideally you would consider many more and then select the top most informative ones using DimHeatmap. merged_seurat <- RunCCA(object=muraro_seurat, object2=seger_seurat, genes.use=gene.use, add.cell.id1="m", add.cell.id2="s", num.cc = 5) DimPlot(object = merged_seurat, reduction.use = "cca", group.by = "dataset", pt.size = 0.5) # Before correcting To identify dataset specific cell-types we compare how well cells are ‘explained’ by CCA vs dataset-specific principal component analysis. merged_seurat <- CalcVarExpRatio(object = merged_seurat, reduction.type = "pca", grouping.var = "dataset", dims.use = 1:5) merged.all <- merged_seurat merged_seurat <- SubsetData(object=merged_seurat, subset.name="var.ratio.pca", accept.low = 0.5) # CCA > 1/2 as good as PCA merged.discard <- SubsetData(object=merged.all, subset.name="var.ratio.pca", accept.high = 0.5) summary(factor(merged.discard@meta.data$celltype)) # check the cell-type of the discarded cells. Here we can see that despite both datasets containing endothelial cells, almost all of them have been discarded as “dataset-specificâ€. Now we can align the datasets: merged_seurat <- AlignSubspace(object = merged_seurat, reduction.type = "cca", grouping.var = "dataset", dims.align = 1:5) DimPlot(object = merged_seurat, reduction.use = "cca.aligned", group.by = "dataset", pt.size = 0.5) # After aligning subspaces Exercise Compare the results for if you use the features after scaling dispersions. Answer Advanced Exercise Use the clustering methods we previously covered on the combined datasets. Do you identify any novel cell-types? 14.0.8 sessionInfo() 14.1 Search scRNA-Seq data library(scfind) library(SingleCellExperiment) library(plotly) set.seed(1234567) 14.1.1 About scfind is a tool that allows one to search single cell RNA-Seq collections (Atlas) using lists of genes, e.g. searching for cells and cell-types where a specific set of genes are expressed. scfind is a Github package. Cloud implementation of scfind with a large collection of datasets is available on our website. 14.1.2 Dataset We will run scfind on the Tabula Muris 10X dataset. scfind also operates on SingleCellExperiment class: tm10x_heart <- readRDS("data/sce/Heart_10X.rds") tm10x_heart colData(tm10x_heart) 14.1.3 Gene Index Now we need to create a gene index using our dataset: heart_index <- buildCellTypeIndex( tm10x_heart, cell_type_column = "cell_type1" ) scfind adopts a two-step compression strategy which allows efficient compression of large cell-by-gene matrix and allows fast retrieval of data by gene query. We estimated that one can achieve 2 orders of magnitude compression with this method. The input matrix for indexing is the raw count matrix of the SingleCellExperiment class. By default the cell_type1 column of the colData slot of the SingleCellExperiment object is used to define cell types, however it can also be defined manually using the cell.type.label argument of the buildCellTypeIndex. For dataset with more than one tissue, you can also merge all tissues together to create a super index using the function mergeDataset. The index can be saved in .rds format using saveObject function and loaded using loadObject function for future use. tm10x_thymus <- readRDS("data/sce/Thymus_10X.rds") thymus_index <- buildCellTypeIndex( tm10x_thymus, cell_type_column = "cell_type1" ) ## scfind_index <- mergeDataset(heart_index, thymus_index) ## scfind_index@datasets ## cellTypeNames(scfind_index) ## sample(scfindGenes(scfind_index),20) To quickly and easily find the enriched cell type using an interactive Shiny application use the following method: 14.1.4 Marker genes Now let’s find the marker genes for Thymus T cell in the datasets # Showing the top 5 marker genes for each cell type and sort by F1 score. t_cell_markers <- cellTypeMarkers(scfind_index, cell.types = "Thymus.T cell", top.k = 5, sort.field = "f1") t_cell_markers Next, you can evaluate the markers of Thymus T cell in Thymus stromal cell evaluateMarkers( scfind_index, gene.list = as.character(t_cell_markers$genes), cell.types = "Thymus.stromal cell", sort.field = "f1" ) # By default, the marker evaluation takes all cell types in the dataset as background cell type, but you can use the argument `background.cell.types` to fine tune the evaluation background <- cellTypeNames(scfind_index, datasets = "Thymus") background evaluateMarkers( scfind_index, gene.list = as.character(t_cell_markers$genes), cell.types = "Thymus.stromal cell", sort.field = "f1", background.cell.types = background ) 14.1.5 Search cells by a gene list scfind can instantly identify the cell type that best represents the genes of interest from large single cell dataset. We will use the marker genes identified in an original publication Yanbin et al. 2015. Cardiomyocyte-specific markers used in immunostaining as shown in Figure 1. cardiomyocytes <- c("Mef2c", "Gata4", "Nkx2.5", "Myh6", "tnnt2", "tnni3", "CDH2", "Cx43", "GJA1") result <- markerGenes( scfind_index, gene.list = cardiomyocytes ) result To allow search of enriched cell type from a long list of gene query, scfind features a query optimization routine. First, the function markerGenes will counter suggest subqueries that with the highest support in the dataset. The TF-IDF score for each gene set allows user to identify the best subquery for finding the most relevant cell type. best_subquery <- result[which.max(result$tfidf),] # get the best subquery by ranking TF-IDF score best_subquery <- strsplit(as.character(best_subquery$Query), ",")[[1]] # obtain gene list hyperQueryCellTypes( scfind_index, gene.list = best_subquery ) hyperQueryCellTypes function returns a list of p-values corresponding to all cell types in a given dataset. It also outputs a list of cells in which genes from the given gene list are co-expressed. Exercise 1 Find the marker genes of all cell types in the Heart dataset cardiac_contractility <- c("Ace2","Fkbp1b","Gh","Cacna1c","Cd59b","Ppp1r1a","Tnnt2","Nos1","Agtr1a","Camk2g","Grk2","Ins2","Dnah8","Igf1","Nos3","Nppa","Nppb","Il6","Myh6","Ren2","Tnni3","Apln","Kcnmb1","Pik3cg","Prkca","Aplnr","Slc8a1","Ace","Akt1","Edn1","Kcnmb2","Nos2","Tnf","Myh14","Adrb2","Agt","Adrb1","Atp2a2","Ryr2","Pln") Exercise 2 Input the gene list relevant to “cardiac contractility†and find the best gene set with the highest support. Identify the enriched cell type for this query. 14.1.6 In-silico gating Using the findCellTypes function, you can perform in-silico gating to identify cell type subsets as if the way cell sorting works. To do so, you can add logical operators including “-†and "*" for “no†and “intermediate†expression, respectively in front of the gene name. Here, we use operators to subset T cell of the Thymus dataset into effector T regulatory cells and effector memory T cell. effector_t_reg_cells <- c("*Ptprc", "-Il7r", "Ctla4", "-Il7r") effector_memory_t_cells <- c("-Il2ra", "*Ptprc", "Il7r") subset_treg <- findCellTypes(scfind_index, effector_t_reg_cells, "Thymus") subset_tmem <- findCellTypes(scfind_index, effector_memory_t_cells, "Thymus") subset_treg subset_tmem Let’s use the TSNE plot information from the SingleCellExperiment of Thymus to illustrate the gating result map <- data.frame( tm10x_thymus@reducedDims[['TSNE']], cell_type = as.character(colData(tm10x_thymus)$cell_type1), stringsAsFactors = F ) map <- subset(map, cell_type == "T cell") plot_ly(map, x = ~X1 , y = ~X2, type="scatter") map$cell_type[subset_treg$`Thymus.T cell`] <- "Effector T Regulatory Cell" map$cell_type[subset_tmem$`Thymus.T cell`] <- "Effector Memory T Cell" plot_ly(map, x = ~X1 , y = ~X2, type="scatter", color = ~cell_type) 14.1.7 sessionInfo() sessionInfo() References "],
["integrating-single-cell-omics-datasets.html", "15 Integrating single-cell ’omics datasets", " 15 Integrating single-cell ’omics datasets set.seed(1234567) "],
diff --git a/public/seurat-chapter.html b/public/seurat-chapter.html
index 1d075bd..9247ed6 100644
--- a/public/seurat-chapter.html
+++ b/public/seurat-chapter.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -522,26 +528,26 @@ sequenced on the Illumina NextSeq 500. The raw data can be found
<p>We start by reading in the data. All features in Seurat have been configured to
work with sparse matrices which results in significant memory and speed savings
for Drop-seq/inDrop/10x data.</p>
-<div class="sourceCode" id="cb867"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb867-1" data-line-number="1"><span class="kw">library</span>(Seurat)</a>
-<a class="sourceLine" id="cb867-2" data-line-number="2"><span class="kw">library</span>(dplyr)</a>
-<a class="sourceLine" id="cb867-3" data-line-number="3"><span class="kw">library</span>(cowplot)</a>
-<a class="sourceLine" id="cb867-4" data-line-number="4"></a>
-<a class="sourceLine" id="cb867-5" data-line-number="5"><span class="co"># Load the PBMC dataset</span></a>
-<a class="sourceLine" id="cb867-6" data-line-number="6">pbmc.data <-<span class="st"> </span><span class="kw">Read10X</span>(<span class="dt">data.dir =</span> <span class="st">"data/pbmc3k_filtered_gene_bc_matrices/hg19/"</span>)</a>
-<a class="sourceLine" id="cb867-7" data-line-number="7"></a>
-<a class="sourceLine" id="cb867-8" data-line-number="8"><span class="co"># Examine the memory savings between regular and sparse matrices</span></a>
-<a class="sourceLine" id="cb867-9" data-line-number="9">dense.size <-<span class="st"> </span><span class="kw">object.size</span>(<span class="dt">x =</span> <span class="kw">as.matrix</span>(<span class="dt">x =</span> pbmc.data))</a>
-<a class="sourceLine" id="cb867-10" data-line-number="10">dense.size</a>
-<a class="sourceLine" id="cb867-11" data-line-number="11"></a>
-<a class="sourceLine" id="cb867-12" data-line-number="12">sparse.size <-<span class="st"> </span><span class="kw">object.size</span>(<span class="dt">x =</span> pbmc.data)</a>
-<a class="sourceLine" id="cb867-13" data-line-number="13">sparse.size</a>
-<a class="sourceLine" id="cb867-14" data-line-number="14"></a>
-<a class="sourceLine" id="cb867-15" data-line-number="15">dense.size<span class="op">/</span>sparse.size</a>
-<a class="sourceLine" id="cb867-16" data-line-number="16"></a>
-<a class="sourceLine" id="cb867-17" data-line-number="17"><span class="co"># Initialize the Seurat object with the raw (non-normalized data). Keep all</span></a>
-<a class="sourceLine" id="cb867-18" data-line-number="18"><span class="co"># genes expressed in >= 3 cells (~0.1% of the data). Keep all cells with at</span></a>
-<a class="sourceLine" id="cb867-19" data-line-number="19"><span class="co"># least 200 detected genes</span></a>
-<a class="sourceLine" id="cb867-20" data-line-number="20">pbmc <-<span class="st"> </span><span class="kw">CreateSeuratObject</span>(<span class="dt">counts =</span> pbmc.data, <span class="dt">min.cells =</span> <span class="dv">3</span>, <span class="dt">min.features =</span> <span class="dv">200</span>, <span class="dt">project =</span> <span class="st">"10X_PBMC"</span>, <span class="dt">assay =</span> <span class="st">"RNA"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb638"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb638-1" data-line-number="1"><span class="kw">library</span>(Seurat)</a>
+<a class="sourceLine" id="cb638-2" data-line-number="2"><span class="kw">library</span>(dplyr)</a>
+<a class="sourceLine" id="cb638-3" data-line-number="3"><span class="kw">library</span>(cowplot)</a>
+<a class="sourceLine" id="cb638-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb638-5" data-line-number="5"><span class="co"># Load the PBMC dataset</span></a>
+<a class="sourceLine" id="cb638-6" data-line-number="6">pbmc.data <-<span class="st"> </span><span class="kw">Read10X</span>(<span class="dt">data.dir =</span> <span class="st">"data/pbmc3k_filtered_gene_bc_matrices/hg19/"</span>)</a>
+<a class="sourceLine" id="cb638-7" data-line-number="7"></a>
+<a class="sourceLine" id="cb638-8" data-line-number="8"><span class="co"># Examine the memory savings between regular and sparse matrices</span></a>
+<a class="sourceLine" id="cb638-9" data-line-number="9">dense.size <-<span class="st"> </span><span class="kw">object.size</span>(<span class="dt">x =</span> <span class="kw">as.matrix</span>(<span class="dt">x =</span> pbmc.data))</a>
+<a class="sourceLine" id="cb638-10" data-line-number="10">dense.size</a>
+<a class="sourceLine" id="cb638-11" data-line-number="11"></a>
+<a class="sourceLine" id="cb638-12" data-line-number="12">sparse.size <-<span class="st"> </span><span class="kw">object.size</span>(<span class="dt">x =</span> pbmc.data)</a>
+<a class="sourceLine" id="cb638-13" data-line-number="13">sparse.size</a>
+<a class="sourceLine" id="cb638-14" data-line-number="14"></a>
+<a class="sourceLine" id="cb638-15" data-line-number="15">dense.size<span class="op">/</span>sparse.size</a>
+<a class="sourceLine" id="cb638-16" data-line-number="16"></a>
+<a class="sourceLine" id="cb638-17" data-line-number="17"><span class="co"># Initialize the Seurat object with the raw (non-normalized data). Keep all</span></a>
+<a class="sourceLine" id="cb638-18" data-line-number="18"><span class="co"># genes expressed in >= 3 cells (~0.1% of the data). Keep all cells with at</span></a>
+<a class="sourceLine" id="cb638-19" data-line-number="19"><span class="co"># least 200 detected genes</span></a>
+<a class="sourceLine" id="cb638-20" data-line-number="20">pbmc <-<span class="st"> </span><span class="kw">CreateSeuratObject</span>(<span class="dt">counts =</span> pbmc.data, <span class="dt">min.cells =</span> <span class="dv">3</span>, <span class="dt">min.features =</span> <span class="dv">200</span>, <span class="dt">project =</span> <span class="st">"10X_PBMC"</span>, <span class="dt">assay =</span> <span class="st">"RNA"</span>)</a></code></pre></div>
</div>
<div id="standard-pre-processing-workflow" class="section level2">
<h2><span class="header-section-number">16.2</span> Standard pre-processing workflow</h2>
@@ -561,38 +567,38 @@ of genes detected as potential multiplets. Of course this is not a guaranteed
method to exclude cell doublets, but we include this as an example of filtering
user-defined outlier cells. We also filter cells based on the percentage of
mitochondrial genes present.</p>
-<div class="sourceCode" id="cb868"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb868-1" data-line-number="1"><span class="co"># The number of genes and UMIs (nGene and nUMI) are automatically calculated</span></a>
-<a class="sourceLine" id="cb868-2" data-line-number="2"><span class="co"># for every object by Seurat. For non-UMI data, nUMI represents the sum of</span></a>
-<a class="sourceLine" id="cb868-3" data-line-number="3"><span class="co"># the non-normalized values within a cell We calculate the percentage of</span></a>
-<a class="sourceLine" id="cb868-4" data-line-number="4"><span class="co"># mitochondrial genes here and store it in percent.mito using AddMetaData.</span></a>
-<a class="sourceLine" id="cb868-5" data-line-number="5"><span class="co"># We use object@raw.data since this represents non-transformed and</span></a>
-<a class="sourceLine" id="cb868-6" data-line-number="6"><span class="co"># non-log-normalized counts The % of UMI mapping to MT-genes is a common</span></a>
-<a class="sourceLine" id="cb868-7" data-line-number="7"><span class="co"># scRNA-seq QC metric.</span></a>
-<a class="sourceLine" id="cb868-8" data-line-number="8">mito.genes <-<span class="st"> </span><span class="kw">grep</span>(<span class="dt">pattern =</span> <span class="st">"^MT-"</span>, <span class="dt">x =</span> <span class="kw">rownames</span>(pbmc<span class="op">@</span>assays[[<span class="st">"RNA"</span>]]), <span class="dt">value =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb868-9" data-line-number="9"></a>
-<a class="sourceLine" id="cb868-10" data-line-number="10">percent.mito <-<span class="st"> </span>Matrix<span class="op">::</span><span class="kw">colSums</span>(pbmc<span class="op">@</span>assays[[<span class="st">"RNA"</span>]][mito.genes, ])<span class="op">/</span>Matrix<span class="op">::</span><span class="kw">colSums</span>(pbmc<span class="op">@</span>assays[[<span class="st">"RNA"</span>]])</a>
-<a class="sourceLine" id="cb868-11" data-line-number="11"></a>
-<a class="sourceLine" id="cb868-12" data-line-number="12"><span class="co"># AddMetaData adds columns to object@meta.data, and is a great place to</span></a>
-<a class="sourceLine" id="cb868-13" data-line-number="13"><span class="co"># stash QC stats</span></a>
-<a class="sourceLine" id="cb868-14" data-line-number="14"></a>
-<a class="sourceLine" id="cb868-15" data-line-number="15"><span class="co">#Seurat v2 function, but shows compatibility in Seurat v3</span></a>
-<a class="sourceLine" id="cb868-16" data-line-number="16">pbmc <-<span class="st"> </span><span class="kw">AddMetaData</span>(<span class="dt">object =</span> pbmc, <span class="dt">metadata =</span> percent.mito, <span class="dt">col.name =</span> <span class="st">"percent.mito"</span>) </a>
-<a class="sourceLine" id="cb868-17" data-line-number="17"><span class="co">#in case the above function does not work simply do:</span></a>
-<a class="sourceLine" id="cb868-18" data-line-number="18">pbmc<span class="op">$</span>percent.mito <-<span class="st"> </span>percent.mito</a>
-<a class="sourceLine" id="cb868-19" data-line-number="19"></a>
-<a class="sourceLine" id="cb868-20" data-line-number="20"><span class="kw">VlnPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"nFeature_RNA"</span>, <span class="st">"nCount_RNA"</span>, <span class="st">"percent.mito"</span>), <span class="dt">ncol =</span> <span class="dv">3</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb869"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb869-1" data-line-number="1"><span class="co"># GenePlot is typically used to visualize gene-gene relationships, but can</span></a>
-<a class="sourceLine" id="cb869-2" data-line-number="2"><span class="co"># be used for anything calculated by the object, i.e. columns in</span></a>
-<a class="sourceLine" id="cb869-3" data-line-number="3"><span class="co"># object@meta.data, PC scores etc. Since there is a rare subset of cells</span></a>
-<a class="sourceLine" id="cb869-4" data-line-number="4"><span class="co"># with an outlier level of high mitochondrial percentage and also low UMI</span></a>
-<a class="sourceLine" id="cb869-5" data-line-number="5"><span class="co"># content, we filter these as well</span></a>
-<a class="sourceLine" id="cb869-6" data-line-number="6"><span class="kw">par</span>(<span class="dt">mfrow =</span> <span class="kw">c</span>(<span class="dv">1</span>, <span class="dv">2</span>))</a>
-<a class="sourceLine" id="cb869-7" data-line-number="7"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"nCount_RNA"</span>, <span class="dt">feature2 =</span> <span class="st">"percent.mito"</span>)</a>
-<a class="sourceLine" id="cb869-8" data-line-number="8"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"nCount_RNA"</span>, <span class="dt">feature2 =</span> <span class="st">"nFeature_RNA"</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb870"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb870-1" data-line-number="1"><span class="co"># We filter out cells that have unique gene counts (nFeature_RNA) over 2,500 or less than</span></a>
-<a class="sourceLine" id="cb870-2" data-line-number="2"><span class="co"># 200 Note that > and < are used to define a'gate'. </span></a>
-<a class="sourceLine" id="cb870-3" data-line-number="3"><span class="co">#-Inf and Inf should be used if you don't want a lower or upper threshold.</span></a>
-<a class="sourceLine" id="cb870-4" data-line-number="4">pbmc <-<span class="st"> </span><span class="kw">subset</span>(<span class="dt">x =</span> pbmc, <span class="dt">subset =</span> nFeature_RNA <span class="op">></span><span class="st"> </span><span class="dv">200</span> <span class="op">&</span><span class="st"> </span>nFeature_RNA <span class="op"><</span><span class="st"> </span><span class="dv">2500</span> <span class="op">&</span><span class="st"> </span>percent.mito <span class="op">></span><span class="st"> </span><span class="op">-</span><span class="ot">Inf</span> <span class="op">&</span><span class="st"> </span>percent.mito <span class="op"><</span><span class="st"> </span><span class="fl">0.05</span> )</a></code></pre></div>
+<div class="sourceCode" id="cb639"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb639-1" data-line-number="1"><span class="co"># The number of genes and UMIs (nGene and nUMI) are automatically calculated</span></a>
+<a class="sourceLine" id="cb639-2" data-line-number="2"><span class="co"># for every object by Seurat. For non-UMI data, nUMI represents the sum of</span></a>
+<a class="sourceLine" id="cb639-3" data-line-number="3"><span class="co"># the non-normalized values within a cell We calculate the percentage of</span></a>
+<a class="sourceLine" id="cb639-4" data-line-number="4"><span class="co"># mitochondrial genes here and store it in percent.mito using AddMetaData.</span></a>
+<a class="sourceLine" id="cb639-5" data-line-number="5"><span class="co"># We use object@raw.data since this represents non-transformed and</span></a>
+<a class="sourceLine" id="cb639-6" data-line-number="6"><span class="co"># non-log-normalized counts The % of UMI mapping to MT-genes is a common</span></a>
+<a class="sourceLine" id="cb639-7" data-line-number="7"><span class="co"># scRNA-seq QC metric.</span></a>
+<a class="sourceLine" id="cb639-8" data-line-number="8">mito.genes <-<span class="st"> </span><span class="kw">grep</span>(<span class="dt">pattern =</span> <span class="st">"^MT-"</span>, <span class="dt">x =</span> <span class="kw">rownames</span>(pbmc<span class="op">@</span>assays[[<span class="st">"RNA"</span>]]), <span class="dt">value =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb639-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb639-10" data-line-number="10">percent.mito <-<span class="st"> </span>Matrix<span class="op">::</span><span class="kw">colSums</span>(pbmc<span class="op">@</span>assays[[<span class="st">"RNA"</span>]][mito.genes, ])<span class="op">/</span>Matrix<span class="op">::</span><span class="kw">colSums</span>(pbmc<span class="op">@</span>assays[[<span class="st">"RNA"</span>]])</a>
+<a class="sourceLine" id="cb639-11" data-line-number="11"></a>
+<a class="sourceLine" id="cb639-12" data-line-number="12"><span class="co"># AddMetaData adds columns to object@meta.data, and is a great place to</span></a>
+<a class="sourceLine" id="cb639-13" data-line-number="13"><span class="co"># stash QC stats</span></a>
+<a class="sourceLine" id="cb639-14" data-line-number="14"></a>
+<a class="sourceLine" id="cb639-15" data-line-number="15"><span class="co">#Seurat v2 function, but shows compatibility in Seurat v3</span></a>
+<a class="sourceLine" id="cb639-16" data-line-number="16">pbmc <-<span class="st"> </span><span class="kw">AddMetaData</span>(<span class="dt">object =</span> pbmc, <span class="dt">metadata =</span> percent.mito, <span class="dt">col.name =</span> <span class="st">"percent.mito"</span>) </a>
+<a class="sourceLine" id="cb639-17" data-line-number="17"><span class="co">#in case the above function does not work simply do:</span></a>
+<a class="sourceLine" id="cb639-18" data-line-number="18">pbmc<span class="op">$</span>percent.mito <-<span class="st"> </span>percent.mito</a>
+<a class="sourceLine" id="cb639-19" data-line-number="19"></a>
+<a class="sourceLine" id="cb639-20" data-line-number="20"><span class="kw">VlnPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"nFeature_RNA"</span>, <span class="st">"nCount_RNA"</span>, <span class="st">"percent.mito"</span>), <span class="dt">ncol =</span> <span class="dv">3</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb640"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb640-1" data-line-number="1"><span class="co"># GenePlot is typically used to visualize gene-gene relationships, but can</span></a>
+<a class="sourceLine" id="cb640-2" data-line-number="2"><span class="co"># be used for anything calculated by the object, i.e. columns in</span></a>
+<a class="sourceLine" id="cb640-3" data-line-number="3"><span class="co"># object@meta.data, PC scores etc. Since there is a rare subset of cells</span></a>
+<a class="sourceLine" id="cb640-4" data-line-number="4"><span class="co"># with an outlier level of high mitochondrial percentage and also low UMI</span></a>
+<a class="sourceLine" id="cb640-5" data-line-number="5"><span class="co"># content, we filter these as well</span></a>
+<a class="sourceLine" id="cb640-6" data-line-number="6"><span class="kw">par</span>(<span class="dt">mfrow =</span> <span class="kw">c</span>(<span class="dv">1</span>, <span class="dv">2</span>))</a>
+<a class="sourceLine" id="cb640-7" data-line-number="7"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"nCount_RNA"</span>, <span class="dt">feature2 =</span> <span class="st">"percent.mito"</span>)</a>
+<a class="sourceLine" id="cb640-8" data-line-number="8"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"nCount_RNA"</span>, <span class="dt">feature2 =</span> <span class="st">"nFeature_RNA"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb641"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb641-1" data-line-number="1"><span class="co"># We filter out cells that have unique gene counts (nFeature_RNA) over 2,500 or less than</span></a>
+<a class="sourceLine" id="cb641-2" data-line-number="2"><span class="co"># 200 Note that > and < are used to define a'gate'. </span></a>
+<a class="sourceLine" id="cb641-3" data-line-number="3"><span class="co">#-Inf and Inf should be used if you don't want a lower or upper threshold.</span></a>
+<a class="sourceLine" id="cb641-4" data-line-number="4">pbmc <-<span class="st"> </span><span class="kw">subset</span>(<span class="dt">x =</span> pbmc, <span class="dt">subset =</span> nFeature_RNA <span class="op">></span><span class="st"> </span><span class="dv">200</span> <span class="op">&</span><span class="st"> </span>nFeature_RNA <span class="op"><</span><span class="st"> </span><span class="dv">2500</span> <span class="op">&</span><span class="st"> </span>percent.mito <span class="op">></span><span class="st"> </span><span class="op">-</span><span class="ot">Inf</span> <span class="op">&</span><span class="st"> </span>percent.mito <span class="op"><</span><span class="st"> </span><span class="fl">0.05</span> )</a></code></pre></div>
</div>
<div id="normalizing-the-data" class="section level2">
<h2><span class="header-section-number">16.4</span> Normalizing the data</h2>
@@ -601,7 +607,7 @@ the data. By default, we employ a global-scaling normalization method
“LogNormalize†that normalizes the gene expression measurements for each cell by
the total expression, multiplies this by a scale factor (10,000 by default), and
log-transforms the result.</p>
-<div class="sourceCode" id="cb871"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb871-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">NormalizeData</span>(<span class="dt">object =</span> pbmc, <span class="dt">normalization.method =</span> <span class="st">"LogNormalize"</span>, <span class="dt">scale.factor =</span> <span class="dv">10000</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb642"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb642-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">NormalizeData</span>(<span class="dt">object =</span> pbmc, <span class="dt">normalization.method =</span> <span class="st">"LogNormalize"</span>, <span class="dt">scale.factor =</span> <span class="dv">10000</span>)</a></code></pre></div>
</div>
<div id="detection-of-variable-genes-across-the-single-cells" class="section level2">
<h2><span class="header-section-number">16.5</span> Detection of variable genes across the single cells</h2>
@@ -616,9 +622,9 @@ dispersion plot, but the exact parameter settings may vary based on the data
type, heterogeneity in the sample, and normalization strategy. The parameters
here identify ~2,000 variable genes, and represent typical parameter settings
for UMI data that is normalized to a total of 1e4 molecules.</p>
-<div class="sourceCode" id="cb872"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb872-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">FindVariableFeatures</span>(<span class="dt">object =</span> pbmc, <span class="dt">mean.function =</span> ExpMean, <span class="dt">dispersion.function =</span> LogVMR, <span class="dt">x.low.cutoff =</span> <span class="fl">0.0125</span>, <span class="dt">x.high.cutoff =</span> <span class="dv">3</span>, <span class="dt">y.cutoff =</span> <span class="fl">0.5</span>, <span class="dt">nfeatures =</span> <span class="dv">2000</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb643"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb643-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">FindVariableFeatures</span>(<span class="dt">object =</span> pbmc, <span class="dt">mean.function =</span> ExpMean, <span class="dt">dispersion.function =</span> LogVMR, <span class="dt">x.low.cutoff =</span> <span class="fl">0.0125</span>, <span class="dt">x.high.cutoff =</span> <span class="dv">3</span>, <span class="dt">y.cutoff =</span> <span class="fl">0.5</span>, <span class="dt">nfeatures =</span> <span class="dv">2000</span>)</a></code></pre></div>
<p>To view the output of the FindVariableFeatures output we use this function. The genes appear not to be stored in the object, but can be accessed this way.</p>
-<div class="sourceCode" id="cb873"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb873-1" data-line-number="1"><span class="kw">head</span>(<span class="dt">x =</span> <span class="kw">HVFInfo</span>(<span class="dt">object =</span> pbmc))</a></code></pre></div>
+<div class="sourceCode" id="cb644"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb644-1" data-line-number="1"><span class="kw">head</span>(<span class="dt">x =</span> <span class="kw">HVFInfo</span>(<span class="dt">object =</span> pbmc))</a></code></pre></div>
</div>
<div id="scaling-the-data-and-removing-unwanted-sources-of-variation" class="section level2">
<h2><span class="header-section-number">16.6</span> Scaling the data and removing unwanted sources of variation</h2>
@@ -642,7 +648,7 @@ mitochondrial gene content.</p>
<p>Seurat v2.0 implements this regression as part of the data scaling process.
Therefore, the <code>RegressOut</code> function has been deprecated, and replaced with the
vars.to.regress argument in <code>ScaleData</code>.</p>
-<div class="sourceCode" id="cb874"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb874-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">ScaleData</span>(<span class="dt">object =</span> pbmc, <span class="dt">vars.to.regress =</span> <span class="kw">c</span>(<span class="st">"nCounts_RNA"</span>, <span class="st">"percent.mito"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb645"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb645-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">ScaleData</span>(<span class="dt">object =</span> pbmc, <span class="dt">vars.to.regress =</span> <span class="kw">c</span>(<span class="st">"nCounts_RNA"</span>, <span class="st">"percent.mito"</span>))</a></code></pre></div>
</div>
<div id="perform-linear-dimensional-reduction" class="section level2">
<h2><span class="header-section-number">16.7</span> Perform linear dimensional reduction</h2>
@@ -660,7 +666,7 @@ output PCA graph has always the same dimensions, indicating that the provided
genes in the features argument are not exactly the ones used to compute PCA.
Wether the function gets the HVG directly or does not take them into account, I
don’t know.</p>
-<div class="sourceCode" id="cb875"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb875-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">RunPCA</span>(<span class="dt">object =</span> pbmc, <span class="dt">npcs =</span> <span class="dv">30</span>, <span class="dt">verbose =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb646"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb646-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">RunPCA</span>(<span class="dt">object =</span> pbmc, <span class="dt">npcs =</span> <span class="dv">30</span>, <span class="dt">verbose =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
<p>–> refered to Seurat v2: Seurat provides several useful ways of visualizing
both cells and genes that define the PCA, including <code>PrintPCA</code>, <code>VizPCA</code>,
<code>PCAPlot</code>, and <code>PCHeatmap</code></p>
@@ -673,19 +679,19 @@ Seurat v3 provides functions for visualizing:
- Variable Feature Plot
- Violin and Ridge plots
- Heatmaps</p>
-<div class="sourceCode" id="cb876"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb876-1" data-line-number="1"><span class="co"># Examine and visualize PCA results a few different ways</span></a>
-<a class="sourceLine" id="cb876-2" data-line-number="2"><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb877"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb877-1" data-line-number="1"><span class="co"># Dimensional reduction plot, with cells colored by a quantitative feature</span></a>
-<a class="sourceLine" id="cb877-2" data-line-number="2"><span class="kw">FeaturePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="st">"MS4A1"</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb878"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb878-1" data-line-number="1"><span class="co"># Scatter plot across single cells, replaces GenePlot</span></a>
-<a class="sourceLine" id="cb878-2" data-line-number="2"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"MS4A1"</span>, <span class="dt">feature2 =</span> <span class="st">"PC_1"</span>)</a>
-<a class="sourceLine" id="cb878-3" data-line-number="3"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"MS4A1"</span>, <span class="dt">feature2 =</span> <span class="st">"CD3D"</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb879"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb879-1" data-line-number="1"><span class="co"># Scatter plot across individual features, repleaces CellPlot</span></a>
-<a class="sourceLine" id="cb879-2" data-line-number="2"><span class="kw">CellScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">cell1 =</span> <span class="st">"AGTCTACTAGGGTG"</span>, <span class="dt">cell2 =</span> <span class="st">"CACAGATGGTTTCT"</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb880"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb880-1" data-line-number="1"><span class="kw">VariableFeaturePlot</span>(<span class="dt">object =</span> pbmc)</a></code></pre></div>
-<div class="sourceCode" id="cb881"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb881-1" data-line-number="1"><span class="co"># Violin and Ridge plots</span></a>
-<a class="sourceLine" id="cb881-2" data-line-number="2"><span class="kw">VlnPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"LYZ"</span>, <span class="st">"CCL5"</span>, <span class="st">"IL32"</span>))</a>
-<a class="sourceLine" id="cb881-3" data-line-number="3"><span class="kw">RidgePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature =</span> <span class="kw">c</span>(<span class="st">"LYZ"</span>, <span class="st">"CCL5"</span>, <span class="st">"IL32"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb647"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb647-1" data-line-number="1"><span class="co"># Examine and visualize PCA results a few different ways</span></a>
+<a class="sourceLine" id="cb647-2" data-line-number="2"><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb648"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb648-1" data-line-number="1"><span class="co"># Dimensional reduction plot, with cells colored by a quantitative feature</span></a>
+<a class="sourceLine" id="cb648-2" data-line-number="2"><span class="kw">FeaturePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="st">"MS4A1"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb649"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb649-1" data-line-number="1"><span class="co"># Scatter plot across single cells, replaces GenePlot</span></a>
+<a class="sourceLine" id="cb649-2" data-line-number="2"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"MS4A1"</span>, <span class="dt">feature2 =</span> <span class="st">"PC_1"</span>)</a>
+<a class="sourceLine" id="cb649-3" data-line-number="3"><span class="kw">FeatureScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature1 =</span> <span class="st">"MS4A1"</span>, <span class="dt">feature2 =</span> <span class="st">"CD3D"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb650"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb650-1" data-line-number="1"><span class="co"># Scatter plot across individual features, repleaces CellPlot</span></a>
+<a class="sourceLine" id="cb650-2" data-line-number="2"><span class="kw">CellScatter</span>(<span class="dt">object =</span> pbmc, <span class="dt">cell1 =</span> <span class="st">"AGTCTACTAGGGTG"</span>, <span class="dt">cell2 =</span> <span class="st">"CACAGATGGTTTCT"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb651"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb651-1" data-line-number="1"><span class="kw">VariableFeaturePlot</span>(<span class="dt">object =</span> pbmc)</a></code></pre></div>
+<div class="sourceCode" id="cb652"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb652-1" data-line-number="1"><span class="co"># Violin and Ridge plots</span></a>
+<a class="sourceLine" id="cb652-2" data-line-number="2"><span class="kw">VlnPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"LYZ"</span>, <span class="st">"CCL5"</span>, <span class="st">"IL32"</span>))</a>
+<a class="sourceLine" id="cb652-3" data-line-number="3"><span class="kw">RidgePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">feature =</span> <span class="kw">c</span>(<span class="st">"LYZ"</span>, <span class="st">"CCL5"</span>, <span class="st">"IL32"</span>))</a></code></pre></div>
<p>In particular <code>DimHeatmap</code> allows for easy exploration of the primary sources of
heterogeneity in a dataset, and can be useful when trying to decide which PCs to
include for further downstream analyses. Both cells and genes are ordered
@@ -693,8 +699,8 @@ according to their PCA scores. Setting cells.use to a number plots the ‘extrem
cells on both ends of the spectrum, which dramatically speeds plotting for large
datasets. Though clearly a supervised analysis, we find this to be a valuable
tool for exploring correlated gene sets.</p>
-<div class="sourceCode" id="cb882"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb882-1" data-line-number="1"><span class="co"># Heatmaps</span></a>
-<a class="sourceLine" id="cb882-2" data-line-number="2"><span class="kw">DimHeatmap</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">cells =</span> <span class="dv">200</span>, <span class="dt">balanced =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb653"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb653-1" data-line-number="1"><span class="co"># Heatmaps</span></a>
+<a class="sourceLine" id="cb653-2" data-line-number="2"><span class="kw">DimHeatmap</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">cells =</span> <span class="dv">200</span>, <span class="dt">balanced =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p>ProjectPCA function is no loger available in Seurat 3.0.</p>
</div>
<div id="determine-statistically-significant-principal-components" class="section level2">
@@ -709,22 +715,22 @@ implemented a resampling test inspired by the jackStraw procedure. We randomly
permute a subset of the data (1% by default) and rerun PCA, constructing a ‘null
distribution’ of gene scores, and repeat this procedure. We identify
‘significant’ PCs as those who have a strong enrichment of low p-value genes.</p>
-<div class="sourceCode" id="cb883"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb883-1" data-line-number="1"><span class="co"># </span><span class="al">NOTE</span><span class="co">: This process can take a long time for big datasets, comment out for</span></a>
-<a class="sourceLine" id="cb883-2" data-line-number="2"><span class="co"># expediency. More approximate techniques such as those implemented in</span></a>
-<a class="sourceLine" id="cb883-3" data-line-number="3"><span class="co"># PCElbowPlot() can be used to reduce computation time</span></a>
-<a class="sourceLine" id="cb883-4" data-line-number="4">pbmc <-<span class="st"> </span><span class="kw">JackStraw</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">dims =</span> <span class="dv">20</span>, <span class="dt">num.replicate =</span> <span class="dv">100</span>, <span class="dt">prop.freq =</span> <span class="fl">0.1</span>, <span class="dt">verbose =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb654"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb654-1" data-line-number="1"><span class="co"># </span><span class="al">NOTE</span><span class="co">: This process can take a long time for big datasets, comment out for</span></a>
+<a class="sourceLine" id="cb654-2" data-line-number="2"><span class="co"># expediency. More approximate techniques such as those implemented in</span></a>
+<a class="sourceLine" id="cb654-3" data-line-number="3"><span class="co"># PCElbowPlot() can be used to reduce computation time</span></a>
+<a class="sourceLine" id="cb654-4" data-line-number="4">pbmc <-<span class="st"> </span><span class="kw">JackStraw</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">dims =</span> <span class="dv">20</span>, <span class="dt">num.replicate =</span> <span class="dv">100</span>, <span class="dt">prop.freq =</span> <span class="fl">0.1</span>, <span class="dt">verbose =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
<p>The <code>JackStrawPlot</code> function provides a visualization tool for comparing the
distribution of p-values for each PC with a uniform distribution (dashed line).
‘Significant’ PCs will show a strong enrichment of genes with low p-values
(solid curve above the dashed line). In this case it appears that PCs 1-10 are
significant.</p>
-<div class="sourceCode" id="cb884"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb884-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">ScoreJackStraw</span>(<span class="dt">object =</span> pbmc, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>, <span class="dt">reduction =</span> <span class="st">"pca"</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb885"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb885-1" data-line-number="1"><span class="kw">JackStrawPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>, <span class="dt">reduction =</span> <span class="st">"pca"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb655"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb655-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">ScoreJackStraw</span>(<span class="dt">object =</span> pbmc, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>, <span class="dt">reduction =</span> <span class="st">"pca"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb656"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb656-1" data-line-number="1"><span class="kw">JackStrawPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>, <span class="dt">reduction =</span> <span class="st">"pca"</span>)</a></code></pre></div>
<p>A more ad hoc method for determining which PCs to use is to look at a plot of
the standard deviations of the principle components and draw your cutoff where
there is a clear elbow in the graph. This can be done with <code>ElbowPlot</code>. In this
example, it looks like the elbow would fall around PC 5.</p>
-<div class="sourceCode" id="cb886"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb886-1" data-line-number="1"><span class="kw">ElbowPlot</span>(<span class="dt">object =</span> pbmc)</a></code></pre></div>
+<div class="sourceCode" id="cb657"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb657-1" data-line-number="1"><span class="kw">ElbowPlot</span>(<span class="dt">object =</span> pbmc)</a></code></pre></div>
<p>PC selection – identifying the true dimensionality of a dataset – is an
important step for Seurat, but can be challenging/uncertain for the user. We
therefore suggest these three approaches to consider. The first is more
@@ -772,8 +778,8 @@ datasets. Latest clustering results will be stored in object metadata under
<code>seurat_clusters</code>.</p>
<p>First calculate k-nearest neighbors and construct the SNN graph
(<code>FindNeighbors</code>), then run <code>FindClusters</code>.</p>
-<div class="sourceCode" id="cb887"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb887-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">FindNeighbors</span>(pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>)</a>
-<a class="sourceLine" id="cb887-2" data-line-number="2">pbmc <-<span class="st"> </span><span class="kw">FindClusters</span>(pbmc, <span class="dt">resolution =</span> <span class="fl">0.5</span>, <span class="dt">algorithm =</span> <span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb658"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb658-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">FindNeighbors</span>(pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>)</a>
+<a class="sourceLine" id="cb658-2" data-line-number="2">pbmc <-<span class="st"> </span><span class="kw">FindClusters</span>(pbmc, <span class="dt">resolution =</span> <span class="fl">0.5</span>, <span class="dt">algorithm =</span> <span class="dv">1</span>)</a></code></pre></div>
</div>
<div id="run-non-linear-dimensional-reduction-tsne" class="section level2">
<h2><span class="header-section-number">16.10</span> Run Non-linear dimensional reduction (tSNE)</h2>
@@ -785,20 +791,20 @@ neighborhoods in high-dimensional space together in low-dimensional space. As
input to the tSNE, we suggest using the same PCs as input to the clustering
analysis, although computing the tSNE based on scaled gene expression is also
supported using the genes.use argument.</p>
-<div class="sourceCode" id="cb888"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb888-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">RunTSNE</span>(<span class="dt">object =</span> pbmc, <span class="dt">dims.use =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">10</span>, <span class="dt">do.fast =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb888-2" data-line-number="2"><span class="co"># note that you can set do.label=T to help label individual clusters</span></a>
-<a class="sourceLine" id="cb888-3" data-line-number="3"><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb659"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb659-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">RunTSNE</span>(<span class="dt">object =</span> pbmc, <span class="dt">dims.use =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">10</span>, <span class="dt">do.fast =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb659-2" data-line-number="2"><span class="co"># note that you can set do.label=T to help label individual clusters</span></a>
+<a class="sourceLine" id="cb659-3" data-line-number="3"><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>)</a></code></pre></div>
</div>
<div id="run-umap" class="section level2">
<h2><span class="header-section-number">16.11</span> Run UMAP</h2>
<p>To visualize the two conditions side-by-side, we can use the split.by argument
to show each condition colored by cluster.</p>
-<div class="sourceCode" id="cb889"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb889-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">RunUMAP</span>(pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>)</a>
-<a class="sourceLine" id="cb889-2" data-line-number="2"><span class="kw">DimPlot</span>(pbmc, <span class="dt">reduction =</span> <span class="st">"umap"</span>, <span class="dt">split.by =</span> <span class="st">"seurat_clusters"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb660"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb660-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">RunUMAP</span>(pbmc, <span class="dt">reduction =</span> <span class="st">"pca"</span>, <span class="dt">dims =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">20</span>)</a>
+<a class="sourceLine" id="cb660-2" data-line-number="2"><span class="kw">DimPlot</span>(pbmc, <span class="dt">reduction =</span> <span class="st">"umap"</span>, <span class="dt">split.by =</span> <span class="st">"seurat_clusters"</span>)</a></code></pre></div>
<p>You can save the object at this point so that it can easily be loaded back in
without having to rerun the computationally intensive steps performed above, or
easily shared with collaborators.</p>
-<div class="sourceCode" id="cb890"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb890-1" data-line-number="1"><span class="kw">saveRDS</span>(pbmc, <span class="dt">file =</span> <span class="st">"data/pbmc_tutorial.rds"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb661"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb661-1" data-line-number="1"><span class="kw">saveRDS</span>(pbmc, <span class="dt">file =</span> <span class="st">"data/pbmc_tutorial.rds"</span>)</a></code></pre></div>
</div>
<div id="finding-differentially-expressed-genes-cluster-biomarkers" class="section level2">
<h2><span class="header-section-number">16.12</span> Finding differentially expressed genes (cluster biomarkers)</h2>
@@ -817,22 +823,22 @@ discriminatory. As another option to speed up these computations,
have no more cells than whatever this is set to. While there is generally going
to be a loss in power, the speed increases can be significiant and the most
highly differentially expressed genes will likely still rise to the top.</p>
-<div class="sourceCode" id="cb891"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb891-1" data-line-number="1"><span class="co"># find all markers of cluster 1</span></a>
-<a class="sourceLine" id="cb891-2" data-line-number="2">cluster1.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">1</span>, <span class="dt">min.pct =</span> <span class="fl">0.25</span>)</a>
-<a class="sourceLine" id="cb891-3" data-line-number="3"><span class="kw">print</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> cluster1.markers, <span class="dt">n =</span> <span class="dv">5</span>))</a></code></pre></div>
-<div class="sourceCode" id="cb892"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb892-1" data-line-number="1"><span class="co"># find all markers distinguishing cluster 5 from clusters 0 and 3</span></a>
-<a class="sourceLine" id="cb892-2" data-line-number="2">cluster5.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">2</span>, <span class="dt">ident.2 =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">3</span>), <span class="dt">min.pct =</span> <span class="fl">0.25</span>)</a>
-<a class="sourceLine" id="cb892-3" data-line-number="3"><span class="kw">print</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> cluster5.markers, <span class="dt">n =</span> <span class="dv">5</span>))</a></code></pre></div>
-<div class="sourceCode" id="cb893"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb893-1" data-line-number="1"><span class="co"># find markers for every cluster compared to all remaining cells, report</span></a>
-<a class="sourceLine" id="cb893-2" data-line-number="2"><span class="co"># only the positive ones</span></a>
-<a class="sourceLine" id="cb893-3" data-line-number="3">pbmc.markers <-<span class="st"> </span><span class="kw">FindAllMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">only.pos =</span> <span class="ot">TRUE</span>, <span class="dt">min.pct =</span> <span class="fl">0.25</span>, <span class="dt">thresh.use =</span> <span class="fl">0.25</span>)</a>
-<a class="sourceLine" id="cb893-4" data-line-number="4">pbmc.markers <span class="op">%>%</span><span class="st"> </span><span class="kw">group_by</span>(cluster) <span class="op">%>%</span><span class="st"> </span><span class="kw">top_n</span>(<span class="dv">2</span>, avg_logFC)</a></code></pre></div>
+<div class="sourceCode" id="cb662"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb662-1" data-line-number="1"><span class="co"># find all markers of cluster 1</span></a>
+<a class="sourceLine" id="cb662-2" data-line-number="2">cluster1.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">1</span>, <span class="dt">min.pct =</span> <span class="fl">0.25</span>)</a>
+<a class="sourceLine" id="cb662-3" data-line-number="3"><span class="kw">print</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> cluster1.markers, <span class="dt">n =</span> <span class="dv">5</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb663"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb663-1" data-line-number="1"><span class="co"># find all markers distinguishing cluster 5 from clusters 0 and 3</span></a>
+<a class="sourceLine" id="cb663-2" data-line-number="2">cluster5.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">2</span>, <span class="dt">ident.2 =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">3</span>), <span class="dt">min.pct =</span> <span class="fl">0.25</span>)</a>
+<a class="sourceLine" id="cb663-3" data-line-number="3"><span class="kw">print</span>(<span class="dt">x =</span> <span class="kw">head</span>(<span class="dt">x =</span> cluster5.markers, <span class="dt">n =</span> <span class="dv">5</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb664"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb664-1" data-line-number="1"><span class="co"># find markers for every cluster compared to all remaining cells, report</span></a>
+<a class="sourceLine" id="cb664-2" data-line-number="2"><span class="co"># only the positive ones</span></a>
+<a class="sourceLine" id="cb664-3" data-line-number="3">pbmc.markers <-<span class="st"> </span><span class="kw">FindAllMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">only.pos =</span> <span class="ot">TRUE</span>, <span class="dt">min.pct =</span> <span class="fl">0.25</span>, <span class="dt">thresh.use =</span> <span class="fl">0.25</span>)</a>
+<a class="sourceLine" id="cb664-4" data-line-number="4">pbmc.markers <span class="op">%>%</span><span class="st"> </span><span class="kw">group_by</span>(cluster) <span class="op">%>%</span><span class="st"> </span><span class="kw">top_n</span>(<span class="dv">2</span>, avg_logFC)</a></code></pre></div>
<p>Seurat has several tests for differential expression which can be set with the
test.use parameter (see our <a href="http://satijalab.org/seurat/de_vignette.html">DE
vignette</a> for details). For
example, the ROC test returns the ‘classification power’ for any individual
marker (ranging from 0 - random, to 1 - perfect).</p>
-<div class="sourceCode" id="cb894"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb894-1" data-line-number="1">cluster1.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">0</span>, <span class="dt">thresh.use =</span> <span class="fl">0.25</span>, <span class="dt">test.use =</span> <span class="st">"roc"</span>, <span class="dt">only.pos =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb665"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb665-1" data-line-number="1">cluster1.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">0</span>, <span class="dt">thresh.use =</span> <span class="fl">0.25</span>, <span class="dt">test.use =</span> <span class="st">"roc"</span>, <span class="dt">only.pos =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p>We include several tools for visualizing marker expression.
• <code>VlnPlot</code> (shows expression probability distributions across clusters),
• and <code>FeaturePlot</code> (visualizes gene expression on a tSNE or PCA plot) are our most commonly used visualizations.</p>
@@ -840,24 +846,24 @@ marker (ranging from 0 - random, to 1 - perfect).</p>
• <code>RidgePlot</code>,
• <code>CellPlot</code>, and
• <code>DotPlot</code> as additional methods to view your dataset.</p>
-<div class="sourceCode" id="cb895"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb895-1" data-line-number="1"><span class="kw">VlnPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span><span class="kw">c</span>(<span class="st">"NKG7"</span>, <span class="st">"PF4"</span>))</a></code></pre></div>
-<div class="sourceCode" id="cb896"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb896-1" data-line-number="1"><span class="kw">FeaturePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"MS4A1"</span>, <span class="st">"GNLY"</span>, <span class="st">"CD3E"</span>, <span class="st">"CD14"</span>, <span class="st">"FCER1A"</span>, <span class="st">"FCGR3A"</span>, <span class="st">"LYZ"</span>, <span class="st">"PPBP"</span>, <span class="st">"CD8A"</span>), <span class="dt">cols =</span> <span class="kw">c</span>(<span class="st">"grey"</span>, <span class="st">"blue"</span>), <span class="dt">reduction =</span> <span class="st">"tsne"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb666"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb666-1" data-line-number="1"><span class="kw">VlnPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span><span class="kw">c</span>(<span class="st">"NKG7"</span>, <span class="st">"PF4"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb667"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb667-1" data-line-number="1"><span class="kw">FeaturePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"MS4A1"</span>, <span class="st">"GNLY"</span>, <span class="st">"CD3E"</span>, <span class="st">"CD14"</span>, <span class="st">"FCER1A"</span>, <span class="st">"FCGR3A"</span>, <span class="st">"LYZ"</span>, <span class="st">"PPBP"</span>, <span class="st">"CD8A"</span>), <span class="dt">cols =</span> <span class="kw">c</span>(<span class="st">"grey"</span>, <span class="st">"blue"</span>), <span class="dt">reduction =</span> <span class="st">"tsne"</span>)</a></code></pre></div>
<p><code>DoHeatmap</code> generates an expression heatmap for given cells and genes. In this
case, we are plotting the top 20 markers (or all markers if less than 20) for
each cluster.</p>
-<div class="sourceCode" id="cb897"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb897-1" data-line-number="1">top10 <-<span class="st"> </span>pbmc.markers <span class="op">%>%</span><span class="st"> </span><span class="kw">group_by</span>(cluster) <span class="op">%>%</span><span class="st"> </span><span class="kw">top_n</span>(<span class="dv">10</span>, avg_logFC)</a>
-<a class="sourceLine" id="cb897-2" data-line-number="2"><span class="co"># setting slim.col.label to TRUE will print just the cluster IDS instead of</span></a>
-<a class="sourceLine" id="cb897-3" data-line-number="3"><span class="co"># every cell name</span></a>
-<a class="sourceLine" id="cb897-4" data-line-number="4"><span class="kw">DoHeatmap</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> top10<span class="op">$</span>gene, <span class="dt">label =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb668"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb668-1" data-line-number="1">top10 <-<span class="st"> </span>pbmc.markers <span class="op">%>%</span><span class="st"> </span><span class="kw">group_by</span>(cluster) <span class="op">%>%</span><span class="st"> </span><span class="kw">top_n</span>(<span class="dv">10</span>, avg_logFC)</a>
+<a class="sourceLine" id="cb668-2" data-line-number="2"><span class="co"># setting slim.col.label to TRUE will print just the cluster IDS instead of</span></a>
+<a class="sourceLine" id="cb668-3" data-line-number="3"><span class="co"># every cell name</span></a>
+<a class="sourceLine" id="cb668-4" data-line-number="4"><span class="kw">DoHeatmap</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> top10<span class="op">$</span>gene, <span class="dt">label =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
</div>
<div id="assigning-cell-type-identity-to-clusters" class="section level2">
<h2><span class="header-section-number">16.13</span> Assigning cell type identity to clusters</h2>
<p>Fortunately in the case of this dataset, we can use canonical markers to easily
match the unbiased clustering to known cell types.</p>
-<div class="sourceCode" id="cb898"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb898-1" data-line-number="1">current.cluster.ids <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">3</span>, <span class="dv">4</span>, <span class="dv">5</span>, <span class="dv">6</span>, <span class="dv">7</span>)</a>
-<a class="sourceLine" id="cb898-2" data-line-number="2">new.cluster.ids <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"CD4 T cells"</span>, <span class="st">"CD14+ Monocytes"</span>, <span class="st">"B cells"</span>, <span class="st">"CD8 T cells"</span>, <span class="st">"FCGR3A+ Monocytes"</span>, <span class="st">"NK cells"</span>, <span class="st">"Dendritic cells"</span>, <span class="st">"Megakaryocytes"</span>)</a>
-<a class="sourceLine" id="cb898-3" data-line-number="3">pbmc<span class="op">@</span>active.ident <-<span class="st"> </span>plyr<span class="op">::</span><span class="kw">mapvalues</span>(<span class="dt">x =</span> pbmc<span class="op">@</span>active.ident, <span class="dt">from =</span> current.cluster.ids, <span class="dt">to =</span> new.cluster.ids)</a>
-<a class="sourceLine" id="cb898-4" data-line-number="4"><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>, <span class="dt">do.label =</span> <span class="ot">TRUE</span>, <span class="dt">pt.size =</span> <span class="fl">0.5</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb669"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb669-1" data-line-number="1">current.cluster.ids <-<span class="st"> </span><span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">3</span>, <span class="dv">4</span>, <span class="dv">5</span>, <span class="dv">6</span>, <span class="dv">7</span>)</a>
+<a class="sourceLine" id="cb669-2" data-line-number="2">new.cluster.ids <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"CD4 T cells"</span>, <span class="st">"CD14+ Monocytes"</span>, <span class="st">"B cells"</span>, <span class="st">"CD8 T cells"</span>, <span class="st">"FCGR3A+ Monocytes"</span>, <span class="st">"NK cells"</span>, <span class="st">"Dendritic cells"</span>, <span class="st">"Megakaryocytes"</span>)</a>
+<a class="sourceLine" id="cb669-3" data-line-number="3">pbmc<span class="op">@</span>active.ident <-<span class="st"> </span>plyr<span class="op">::</span><span class="kw">mapvalues</span>(<span class="dt">x =</span> pbmc<span class="op">@</span>active.ident, <span class="dt">from =</span> current.cluster.ids, <span class="dt">to =</span> new.cluster.ids)</a>
+<a class="sourceLine" id="cb669-4" data-line-number="4"><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>, <span class="dt">do.label =</span> <span class="ot">TRUE</span>, <span class="dt">pt.size =</span> <span class="fl">0.5</span>)</a></code></pre></div>
</div>
<div id="further-subdivisions-within-cell-types" class="section level2">
<h2><span class="header-section-number">16.14</span> Further subdivisions within cell types</h2>
@@ -867,30 +873,30 @@ subdivide into two groups. You can explore this subdivision to find markers
separating the two T cell subsets. However, before reclustering (which will
overwrite <code>object@ident</code>), we can stash our renamed identities to be easily
recovered later.</p>
-<div class="sourceCode" id="cb899"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb899-1" data-line-number="1"><span class="co"># First lets stash our identities for later</span></a>
-<a class="sourceLine" id="cb899-2" data-line-number="2">pbmc <-<span class="st"> </span><span class="kw">StashIdent</span>(<span class="dt">object =</span> pbmc, <span class="dt">save.name =</span> <span class="st">"ClusterNames_0.6"</span>)</a>
-<a class="sourceLine" id="cb899-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb899-4" data-line-number="4"><span class="co"># Note that if you set save.snn=T above, you don't need to recalculate the</span></a>
-<a class="sourceLine" id="cb899-5" data-line-number="5"><span class="co"># SNN, and can simply put: pbmc <- FindClusters(pbmc,resolution = 0.8)</span></a>
-<a class="sourceLine" id="cb899-6" data-line-number="6">pbmc <-<span class="st"> </span><span class="kw">FindClusters</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction.type =</span> <span class="st">"pca"</span>, <span class="dt">dims.use =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">10</span>, <span class="dt">resolution =</span> <span class="fl">0.8</span>, <span class="dt">print.output =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
-<div class="sourceCode" id="cb900"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb900-1" data-line-number="1"><span class="co"># Demonstration of how to plot two tSNE plots side by side, and how to color</span></a>
-<a class="sourceLine" id="cb900-2" data-line-number="2"><span class="co"># points based on different criteria</span></a>
-<a class="sourceLine" id="cb900-3" data-line-number="3">plot1 <-<span class="st"> </span><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>, <span class="dt">do.return =</span> <span class="ot">TRUE</span>, <span class="dt">no.legend =</span> <span class="ot">TRUE</span>, <span class="dt">do.label =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb900-4" data-line-number="4">plot2 <-<span class="st"> </span><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>, <span class="dt">do.return =</span> <span class="ot">TRUE</span>, <span class="dt">group.by =</span> <span class="st">"ClusterNames_0.6"</span>, <span class="dt">no.legend =</span> <span class="ot">TRUE</span>, <span class="dt">do.label =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb900-5" data-line-number="5"><span class="kw">plot_grid</span>(plot1, plot2)</a></code></pre></div>
-<div class="sourceCode" id="cb901"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb901-1" data-line-number="1"><span class="co"># Find discriminating markers</span></a>
-<a class="sourceLine" id="cb901-2" data-line-number="2">tcell.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">0</span>, <span class="dt">ident.2 =</span> <span class="dv">1</span>)</a>
-<a class="sourceLine" id="cb901-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb901-4" data-line-number="4"><span class="co"># Most of the markers tend to be expressed in C1 (i.e. S100A4). However, we</span></a>
-<a class="sourceLine" id="cb901-5" data-line-number="5"><span class="co"># can see that CCR7 is upregulated in C0, strongly indicating that we can</span></a>
-<a class="sourceLine" id="cb901-6" data-line-number="6"><span class="co"># differentiate memory from naive CD4 cells. cols.use demarcates the color</span></a>
-<a class="sourceLine" id="cb901-7" data-line-number="7"><span class="co"># palette from low to high expression</span></a>
-<a class="sourceLine" id="cb901-8" data-line-number="8"><span class="kw">FeaturePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"S100A4"</span>, <span class="st">"CCR7"</span>), <span class="dt">cols =</span> <span class="kw">c</span>(<span class="st">"green"</span>, <span class="st">"blue"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb670"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb670-1" data-line-number="1"><span class="co"># First lets stash our identities for later</span></a>
+<a class="sourceLine" id="cb670-2" data-line-number="2">pbmc <-<span class="st"> </span><span class="kw">StashIdent</span>(<span class="dt">object =</span> pbmc, <span class="dt">save.name =</span> <span class="st">"ClusterNames_0.6"</span>)</a>
+<a class="sourceLine" id="cb670-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb670-4" data-line-number="4"><span class="co"># Note that if you set save.snn=T above, you don't need to recalculate the</span></a>
+<a class="sourceLine" id="cb670-5" data-line-number="5"><span class="co"># SNN, and can simply put: pbmc <- FindClusters(pbmc,resolution = 0.8)</span></a>
+<a class="sourceLine" id="cb670-6" data-line-number="6">pbmc <-<span class="st"> </span><span class="kw">FindClusters</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction.type =</span> <span class="st">"pca"</span>, <span class="dt">dims.use =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">10</span>, <span class="dt">resolution =</span> <span class="fl">0.8</span>, <span class="dt">print.output =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb671"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb671-1" data-line-number="1"><span class="co"># Demonstration of how to plot two tSNE plots side by side, and how to color</span></a>
+<a class="sourceLine" id="cb671-2" data-line-number="2"><span class="co"># points based on different criteria</span></a>
+<a class="sourceLine" id="cb671-3" data-line-number="3">plot1 <-<span class="st"> </span><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>, <span class="dt">do.return =</span> <span class="ot">TRUE</span>, <span class="dt">no.legend =</span> <span class="ot">TRUE</span>, <span class="dt">do.label =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb671-4" data-line-number="4">plot2 <-<span class="st"> </span><span class="kw">DimPlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">reduction =</span> <span class="st">"tsne"</span>, <span class="dt">do.return =</span> <span class="ot">TRUE</span>, <span class="dt">group.by =</span> <span class="st">"ClusterNames_0.6"</span>, <span class="dt">no.legend =</span> <span class="ot">TRUE</span>, <span class="dt">do.label =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb671-5" data-line-number="5"><span class="kw">plot_grid</span>(plot1, plot2)</a></code></pre></div>
+<div class="sourceCode" id="cb672"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb672-1" data-line-number="1"><span class="co"># Find discriminating markers</span></a>
+<a class="sourceLine" id="cb672-2" data-line-number="2">tcell.markers <-<span class="st"> </span><span class="kw">FindMarkers</span>(<span class="dt">object =</span> pbmc, <span class="dt">ident.1 =</span> <span class="dv">0</span>, <span class="dt">ident.2 =</span> <span class="dv">1</span>)</a>
+<a class="sourceLine" id="cb672-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb672-4" data-line-number="4"><span class="co"># Most of the markers tend to be expressed in C1 (i.e. S100A4). However, we</span></a>
+<a class="sourceLine" id="cb672-5" data-line-number="5"><span class="co"># can see that CCR7 is upregulated in C0, strongly indicating that we can</span></a>
+<a class="sourceLine" id="cb672-6" data-line-number="6"><span class="co"># differentiate memory from naive CD4 cells. cols.use demarcates the color</span></a>
+<a class="sourceLine" id="cb672-7" data-line-number="7"><span class="co"># palette from low to high expression</span></a>
+<a class="sourceLine" id="cb672-8" data-line-number="8"><span class="kw">FeaturePlot</span>(<span class="dt">object =</span> pbmc, <span class="dt">features =</span> <span class="kw">c</span>(<span class="st">"S100A4"</span>, <span class="st">"CCR7"</span>), <span class="dt">cols =</span> <span class="kw">c</span>(<span class="st">"green"</span>, <span class="st">"blue"</span>))</a></code></pre></div>
<p>The memory/naive split is bit weak, and we would probably benefit from looking
at more cells to see if this becomes more convincing. In the meantime, we can
restore our old cluster identities for downstream processing.</p>
-<div class="sourceCode" id="cb902"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb902-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">SetIdent</span>(<span class="dt">object =</span> pbmc, <span class="dt">value =</span> <span class="st">"ClusterNames_0.6"</span>)</a>
-<a class="sourceLine" id="cb902-2" data-line-number="2"><span class="kw">saveRDS</span>(pbmc, <span class="dt">file =</span> <span class="st">"data/pbmc3k_final.rds"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb673"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb673-1" data-line-number="1">pbmc <-<span class="st"> </span><span class="kw">SetIdent</span>(<span class="dt">object =</span> pbmc, <span class="dt">value =</span> <span class="st">"ClusterNames_0.6"</span>)</a>
+<a class="sourceLine" id="cb673-2" data-line-number="2"><span class="kw">saveRDS</span>(pbmc, <span class="dt">file =</span> <span class="st">"data/pbmc3k_final.rds"</span>)</a></code></pre></div>
</div>
<div id="sessioninfo-12" class="section level2">
<h2><span class="header-section-number">16.15</span> sessionInfo()</h2>
diff --git a/public/trajectory-inference.html b/public/trajectory-inference.html
index 21b02c6..5d3492b 100644
--- a/public/trajectory-inference.html
+++ b/public/trajectory-inference.html
@@ -21,10 +21,10 @@
-<meta name="author" content="Davis McCarthy (davisjmcc), Ruqian Lyu, PuXue Qiao, Vladimir Kiselev (wikiselev), Tallulah Andrews (talandrews), Jennifer Westoby (Jenni_Westoby), Maren Büttner (marenbuettner), Jimmy Lee (THJimmyLee), Krzysztof Polanski, Sebastian Y. Müller, Elo Madissoon, Stephane Ballereau, Maria Do Nascimento Lopes Primo, Rocio Martinez Nunez and Martin Hemberg (m_hemberg)" />
+<meta name="author" content="Ruqian Lyu, PuXue Qiao, and Davis J. McCarthy (davisjmcc)" />
-<meta name="date" content="2019-10-01" />
+<meta name="date" content="2019-10-02" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="apple-mobile-web-app-capable" content="yes" />
@@ -381,7 +381,7 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="10" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html"><i class="fa fa-check"></i><b>10</b> Clustering and cell annotation</a><ul>
<li class="chapter" data-level="10.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clustering-methods"><i class="fa fa-check"></i><b>10.1</b> Clustering Methods</a><ul>
<li class="chapter" data-level="10.1.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#introduction-7"><i class="fa fa-check"></i><b>10.1.1</b> Introduction</a></li>
-<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> unsupervised Clustering methods</a></li>
+<li class="chapter" data-level="10.1.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#unsupervised-clustering-methods"><i class="fa fa-check"></i><b>10.1.2</b> Unsupervised clustering methods</a></li>
</ul></li>
<li class="chapter" data-level="10.2" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#clust-methods"><i class="fa fa-check"></i><b>10.2</b> Clustering example</a><ul>
<li class="chapter" data-level="10.2.1" data-path="clustering-and-cell-annotation.html"><a href="clustering-and-cell-annotation.html#example-1.-graph-based-clustering-deng-dataset"><i class="fa fa-check"></i><b>10.2.1</b> Example 1. Graph-based clustering (deng dataset)</a></li>
@@ -395,19 +395,24 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="trajectory-inference.html"><a href="trajectory-inference.html"><i class="fa fa-check"></i><b>11</b> Trajectory inference</a><ul>
-<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a><ul>
-<li class="chapter" data-level="11.1.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.1.1</b> TSCAN</a></li>
-<li class="chapter" data-level="11.1.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.1.2</b> Slingshot</a></li>
-<li class="chapter" data-level="11.1.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.1.3</b> GAM general additive model for identifying temporally expressed genes</a></li>
-<li class="chapter" data-level="11.1.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.1.4</b> Monocle</a></li>
-<li class="chapter" data-level="11.1.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.1.5</b> Monocle 2</a></li>
-<li class="chapter" data-level="11.1.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.1.6</b> Monocle 3</a></li>
-<li class="chapter" data-level="11.1.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.1.7</b> Diffusion maps</a></li>
-<li class="chapter" data-level="11.1.8" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.1.8</b> Other methods</a></li>
-<li class="chapter" data-level="11.1.9" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.1.9</b> Comparison of the methods</a></li>
-<li class="chapter" data-level="11.1.10" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.1.10</b> Expression of genes through time</a></li>
-<li class="chapter" data-level="11.1.11" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.1.11</b> dynverse</a></li>
-<li class="chapter" data-level="11.1.12" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.1.12</b> sessionInfo()</a></li>
+<li class="chapter" data-level="11.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#first-look-at-deng-data"><i class="fa fa-check"></i><b>11.1</b> First look at Deng data</a></li>
+<li class="chapter" data-level="11.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#tscan"><i class="fa fa-check"></i><b>11.2</b> TSCAN</a></li>
+<li class="chapter" data-level="11.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slingshot"><i class="fa fa-check"></i><b>11.3</b> Slingshot</a><ul>
+<li class="chapter" data-level="11.3.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#gam-general-additive-model-for-identifying-temporally-expressed-genes"><i class="fa fa-check"></i><b>11.3.1</b> GAM general additive model for identifying temporally expressed genes</a></li>
+</ul></li>
+<li class="chapter" data-level="11.4" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle"><i class="fa fa-check"></i><b>11.4</b> Monocle</a><ul>
+<li class="chapter" data-level="11.4.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-2"><i class="fa fa-check"></i><b>11.4.1</b> Monocle 2</a></li>
+<li class="chapter" data-level="11.4.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#monocle-3"><i class="fa fa-check"></i><b>11.4.2</b> Monocle 3</a></li>
+<li class="chapter" data-level="11.4.3" data-path="trajectory-inference.html"><a href="trajectory-inference.html#diffusion-maps"><i class="fa fa-check"></i><b>11.4.3</b> Diffusion maps</a></li>
+</ul></li>
+<li class="chapter" data-level="11.5" data-path="trajectory-inference.html"><a href="trajectory-inference.html#other-methods"><i class="fa fa-check"></i><b>11.5</b> Other methods</a><ul>
+<li class="chapter" data-level="11.5.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#slicer"><i class="fa fa-check"></i><b>11.5.1</b> SLICER</a></li>
+<li class="chapter" data-level="11.5.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#ouija"><i class="fa fa-check"></i><b>11.5.2</b> Ouija</a></li>
+</ul></li>
+<li class="chapter" data-level="11.6" data-path="trajectory-inference.html"><a href="trajectory-inference.html#comparison-of-the-methods"><i class="fa fa-check"></i><b>11.6</b> Comparison of the methods</a></li>
+<li class="chapter" data-level="11.7" data-path="trajectory-inference.html"><a href="trajectory-inference.html#expression-of-genes-through-time"><i class="fa fa-check"></i><b>11.7</b> Expression of genes through time</a><ul>
+<li class="chapter" data-level="11.7.1" data-path="trajectory-inference.html"><a href="trajectory-inference.html#dynverse"><i class="fa fa-check"></i><b>11.7.1</b> dynverse</a></li>
+<li class="chapter" data-level="11.7.2" data-path="trajectory-inference.html"><a href="trajectory-inference.html#sessioninfo-7"><i class="fa fa-check"></i><b>11.7.2</b> sessionInfo()</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="dechapter.html"><a href="dechapter.html"><i class="fa fa-check"></i><b>12</b> Differential Expression (DE) analysis</a><ul>
@@ -415,7 +420,8 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<li class="chapter" data-level="12.1.1" data-path="dechapter.html"><a href="dechapter.html#bulk-rna-seq-1"><i class="fa fa-check"></i><b>12.1.1</b> Bulk RNA-seq</a></li>
<li class="chapter" data-level="12.1.2" data-path="dechapter.html"><a href="dechapter.html#single-cell-rna-seq"><i class="fa fa-check"></i><b>12.1.2</b> Single cell RNA-seq</a></li>
<li class="chapter" data-level="12.1.3" data-path="dechapter.html"><a href="dechapter.html#differences-in-distribution"><i class="fa fa-check"></i><b>12.1.3</b> Differences in Distribution</a></li>
-<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rnaseq-data"><i class="fa fa-check"></i><b>12.1.4</b> Models of single-cell RNASeq data</a></li>
+<li class="chapter" data-level="12.1.4" data-path="dechapter.html"><a href="dechapter.html#benchmarking-of-de-methods-for-scrna-seq-data"><i class="fa fa-check"></i><b>12.1.4</b> Benchmarking of DE methods for scRNA-seq data</a></li>
+<li class="chapter" data-level="12.1.5" data-path="dechapter.html"><a href="dechapter.html#models-of-single-cell-rna-seq-data"><i class="fa fa-check"></i><b>12.1.5</b> Models of single-cell RNA-seq data</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="dechapter.html"><a href="dechapter.html#de-in-a-real-dataset"><i class="fa fa-check"></i><b>12.2</b> DE in a real dataset</a><ul>
<li class="chapter" data-level="12.2.1" data-path="dechapter.html"><a href="dechapter.html#introduction-8"><i class="fa fa-check"></i><b>12.2.1</b> Introduction</a></li>
@@ -506,21 +512,21 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
<section class="normal" id="section-">
<div id="trajectory-inference" class="section level1">
<h1><span class="header-section-number">11</span> Trajectory inference</h1>
-<div class="sourceCode" id="cb723"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb723-1" data-line-number="1"><span class="kw">library</span>(SingleCellExperiment)</a>
-<a class="sourceLine" id="cb723-2" data-line-number="2"><span class="kw">library</span>(TSCAN)</a>
-<a class="sourceLine" id="cb723-3" data-line-number="3"><span class="kw">library</span>(M3Drop)</a>
-<a class="sourceLine" id="cb723-4" data-line-number="4"><span class="kw">library</span>(monocle)</a>
-<a class="sourceLine" id="cb723-5" data-line-number="5"><span class="kw">library</span>(destiny)</a>
-<a class="sourceLine" id="cb723-6" data-line-number="6"><span class="kw">library</span>(scater)</a>
-<a class="sourceLine" id="cb723-7" data-line-number="7"><span class="kw">library</span>(ggplot2)</a>
-<a class="sourceLine" id="cb723-8" data-line-number="8"><span class="kw">library</span>(ggthemes)</a>
-<a class="sourceLine" id="cb723-9" data-line-number="9"><span class="kw">library</span>(ggbeeswarm)</a>
-<a class="sourceLine" id="cb723-10" data-line-number="10"><span class="kw">library</span>(corrplot)</a>
-<a class="sourceLine" id="cb723-11" data-line-number="11"><span class="kw">library</span>(Polychrome)</a>
-<a class="sourceLine" id="cb723-12" data-line-number="12"><span class="kw">library</span>(slingshot)</a>
-<a class="sourceLine" id="cb723-13" data-line-number="13"><span class="kw">library</span>(SLICER)</a>
-<a class="sourceLine" id="cb723-14" data-line-number="14"><span class="kw">library</span>(ouija)</a>
-<a class="sourceLine" id="cb723-15" data-line-number="15"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb493"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb493-1" data-line-number="1"><span class="kw">library</span>(SingleCellExperiment)</a>
+<a class="sourceLine" id="cb493-2" data-line-number="2"><span class="kw">library</span>(TSCAN)</a>
+<a class="sourceLine" id="cb493-3" data-line-number="3"><span class="kw">library</span>(M3Drop)</a>
+<a class="sourceLine" id="cb493-4" data-line-number="4"><span class="kw">library</span>(monocle)</a>
+<a class="sourceLine" id="cb493-5" data-line-number="5"><span class="kw">library</span>(destiny)</a>
+<a class="sourceLine" id="cb493-6" data-line-number="6"><span class="kw">library</span>(scater)</a>
+<a class="sourceLine" id="cb493-7" data-line-number="7"><span class="kw">library</span>(ggplot2)</a>
+<a class="sourceLine" id="cb493-8" data-line-number="8"><span class="kw">library</span>(ggthemes)</a>
+<a class="sourceLine" id="cb493-9" data-line-number="9"><span class="kw">library</span>(ggbeeswarm)</a>
+<a class="sourceLine" id="cb493-10" data-line-number="10"><span class="kw">library</span>(corrplot)</a>
+<a class="sourceLine" id="cb493-11" data-line-number="11"><span class="kw">library</span>(Polychrome)</a>
+<a class="sourceLine" id="cb493-12" data-line-number="12"><span class="kw">library</span>(slingshot)</a>
+<a class="sourceLine" id="cb493-13" data-line-number="13"><span class="kw">library</span>(SLICER)</a>
+<a class="sourceLine" id="cb493-14" data-line-number="14"><span class="kw">library</span>(ouija)</a>
+<a class="sourceLine" id="cb493-15" data-line-number="15"><span class="kw">set.seed</span>(<span class="dv">1</span>)</a></code></pre></div>
<p>In many situations, one is studying a process where cells change
continuously. This includes, for example, many differentiation processes
taking place during development: following a stimulus, cells
@@ -572,100 +578,101 @@ Figure 2.5: Detailed results of the four main evaluation criteria: accuracy, sca
<div id="first-look-at-deng-data" class="section level2">
<h2><span class="header-section-number">11.1</span> First look at Deng data</h2>
<p>Let us take a first look at the Deng<span class="citation">(Deng et al. <a href="#ref-Deng2014-mx">2014</a>)</span> data, without yet applying sophisticated pseudotime methods. As the plot below shows, simple PCA does a very good job of displaying the structure in these data. It is only once we reach the blast cell types (“earlyblastâ€, “midblastâ€, “lateblastâ€) that PCA struggles to separate the distinct cell types.</p>
-<div class="sourceCode" id="cb724"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb724-1" data-line-number="1">deng_SCE <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
-<a class="sourceLine" id="cb724-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb724-3" data-line-number="3">deng_SCE<span class="op">$</span>cell_type2 <-<span class="st"> </span><span class="kw">factor</span>(</a>
-<a class="sourceLine" id="cb724-4" data-line-number="4"> deng_SCE<span class="op">$</span>cell_type2,</a>
-<a class="sourceLine" id="cb724-5" data-line-number="5"> <span class="dt">levels =</span> <span class="kw">c</span>(<span class="st">"zy"</span>, <span class="st">"early2cell"</span>, <span class="st">"mid2cell"</span>, <span class="st">"late2cell"</span>,</a>
-<a class="sourceLine" id="cb724-6" data-line-number="6"> <span class="st">"4cell"</span>, <span class="st">"8cell"</span>, <span class="st">"16cell"</span>, <span class="st">"earlyblast"</span>,</a>
-<a class="sourceLine" id="cb724-7" data-line-number="7"> <span class="st">"midblast"</span>, <span class="st">"lateblast"</span>)</a>
-<a class="sourceLine" id="cb724-8" data-line-number="8">)</a>
-<a class="sourceLine" id="cb724-9" data-line-number="9">cellLabels <-<span class="st"> </span>deng_SCE<span class="op">$</span>cell_type2</a>
-<a class="sourceLine" id="cb724-10" data-line-number="10">deng <-<span class="st"> </span><span class="kw">counts</span>(deng_SCE)</a>
-<a class="sourceLine" id="cb724-11" data-line-number="11"><span class="kw">colnames</span>(deng) <-<span class="st"> </span>cellLabels</a>
-<a class="sourceLine" id="cb724-12" data-line-number="12"></a>
-<a class="sourceLine" id="cb724-13" data-line-number="13">deng_SCE <-<span class="st"> </span>scater<span class="op">::</span><span class="kw">runPCA</span>(deng_SCE,<span class="dt">ncomponent =</span> <span class="dv">5</span>)</a>
-<a class="sourceLine" id="cb724-14" data-line-number="14"></a>
-<a class="sourceLine" id="cb724-15" data-line-number="15"><span class="co">## change color Palette with library(Polychrome)</span></a>
-<a class="sourceLine" id="cb724-16" data-line-number="16"></a>
-<a class="sourceLine" id="cb724-17" data-line-number="17"><span class="kw">set.seed</span>(<span class="dv">723451</span>) <span class="co"># for reproducibility</span></a>
-<a class="sourceLine" id="cb724-18" data-line-number="18">my_color <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">10</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
-<a class="sourceLine" id="cb724-19" data-line-number="19"><span class="kw">names</span>(my_color) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(deng_SCE<span class="op">$</span>cell_type2))</a>
-<a class="sourceLine" id="cb724-20" data-line-number="20"></a>
-<a class="sourceLine" id="cb724-21" data-line-number="21">pca_df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">PC1 =</span> <span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">1</span>],</a>
-<a class="sourceLine" id="cb724-22" data-line-number="22"> <span class="dt">PC2 =</span> <span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">2</span>],</a>
-<a class="sourceLine" id="cb724-23" data-line-number="23"> <span class="dt">cell_type2 =</span> deng_SCE<span class="op">$</span>cell_type2)</a>
-<a class="sourceLine" id="cb724-24" data-line-number="24"></a>
-<a class="sourceLine" id="cb724-25" data-line-number="25"><span class="kw">ggplot</span>(<span class="dt">data =</span> pca_df)<span class="op">+</span><span class="kw">geom_point</span>(<span class="dt">mapping =</span> <span class="kw">aes</span>(<span class="dt">x =</span> PC1, <span class="dt">y =</span> PC2, <span class="dt">colour =</span> cell_type2))<span class="op">+</span></a>
-<a class="sourceLine" id="cb724-26" data-line-number="26"><span class="st"> </span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)<span class="op">+</span><span class="kw">theme_classic</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb494"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb494-1" data-line-number="1">deng_SCE <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"data/deng/deng-reads.rds"</span>)</a>
+<a class="sourceLine" id="cb494-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb494-3" data-line-number="3">deng_SCE<span class="op">$</span>cell_type2 <-<span class="st"> </span><span class="kw">factor</span>(</a>
+<a class="sourceLine" id="cb494-4" data-line-number="4"> deng_SCE<span class="op">$</span>cell_type2,</a>
+<a class="sourceLine" id="cb494-5" data-line-number="5"> <span class="dt">levels =</span> <span class="kw">c</span>(<span class="st">"zy"</span>, <span class="st">"early2cell"</span>, <span class="st">"mid2cell"</span>, <span class="st">"late2cell"</span>,</a>
+<a class="sourceLine" id="cb494-6" data-line-number="6"> <span class="st">"4cell"</span>, <span class="st">"8cell"</span>, <span class="st">"16cell"</span>, <span class="st">"earlyblast"</span>,</a>
+<a class="sourceLine" id="cb494-7" data-line-number="7"> <span class="st">"midblast"</span>, <span class="st">"lateblast"</span>)</a>
+<a class="sourceLine" id="cb494-8" data-line-number="8">)</a>
+<a class="sourceLine" id="cb494-9" data-line-number="9">cellLabels <-<span class="st"> </span>deng_SCE<span class="op">$</span>cell_type2</a>
+<a class="sourceLine" id="cb494-10" data-line-number="10">deng <-<span class="st"> </span><span class="kw">counts</span>(deng_SCE)</a>
+<a class="sourceLine" id="cb494-11" data-line-number="11"><span class="kw">colnames</span>(deng) <-<span class="st"> </span>cellLabels</a>
+<a class="sourceLine" id="cb494-12" data-line-number="12"></a>
+<a class="sourceLine" id="cb494-13" data-line-number="13">deng_SCE <-<span class="st"> </span>scater<span class="op">::</span><span class="kw">runPCA</span>(deng_SCE,<span class="dt">ncomponent =</span> <span class="dv">5</span>)</a>
+<a class="sourceLine" id="cb494-14" data-line-number="14"></a>
+<a class="sourceLine" id="cb494-15" data-line-number="15"><span class="co">## change color Palette with library(Polychrome)</span></a>
+<a class="sourceLine" id="cb494-16" data-line-number="16"></a>
+<a class="sourceLine" id="cb494-17" data-line-number="17"><span class="kw">set.seed</span>(<span class="dv">723451</span>) <span class="co"># for reproducibility</span></a>
+<a class="sourceLine" id="cb494-18" data-line-number="18">my_color <-<span class="st"> </span><span class="kw">createPalette</span>(<span class="dv">10</span>, <span class="kw">c</span>(<span class="st">"#010101"</span>, <span class="st">"#ff0000"</span>), <span class="dt">M=</span><span class="dv">1000</span>)</a>
+<a class="sourceLine" id="cb494-19" data-line-number="19"><span class="kw">names</span>(my_color) <-<span class="st"> </span><span class="kw">unique</span>(<span class="kw">as.character</span>(deng_SCE<span class="op">$</span>cell_type2))</a>
+<a class="sourceLine" id="cb494-20" data-line-number="20"></a>
+<a class="sourceLine" id="cb494-21" data-line-number="21">pca_df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">PC1 =</span> <span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">1</span>],</a>
+<a class="sourceLine" id="cb494-22" data-line-number="22"> <span class="dt">PC2 =</span> <span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">2</span>],</a>
+<a class="sourceLine" id="cb494-23" data-line-number="23"> <span class="dt">cell_type2 =</span> deng_SCE<span class="op">$</span>cell_type2)</a>
+<a class="sourceLine" id="cb494-24" data-line-number="24"></a>
+<a class="sourceLine" id="cb494-25" data-line-number="25"><span class="kw">ggplot</span>(<span class="dt">data =</span> pca_df)<span class="op">+</span><span class="kw">geom_point</span>(<span class="dt">mapping =</span> <span class="kw">aes</span>(<span class="dt">x =</span> PC1, <span class="dt">y =</span> PC2, <span class="dt">colour =</span> cell_type2))<span class="op">+</span></a>
+<a class="sourceLine" id="cb494-26" data-line-number="26"><span class="st"> </span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)<span class="op">+</span><span class="kw">theme_classic</span>()</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/data-overview-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>PCA, here, provides a useful baseline for assessing different pseudotime methods. For a very naive pseudotime we can just take the co-ordinates of the first principal component.</p>
-<div class="sourceCode" id="cb725"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb725-1" data-line-number="1"><span class="co">#deng_SCE$PC1 <- reducedDim(deng_SCE, "PCA")[,1]</span></a>
-<a class="sourceLine" id="cb725-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb725-3" data-line-number="3"><span class="kw">ggplot</span>(pca_df, <span class="kw">aes</span>(<span class="dt">x =</span> PC1, <span class="dt">y =</span> cell_type2, </a>
-<a class="sourceLine" id="cb725-4" data-line-number="4"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb725-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb725-6" data-line-number="6"><span class="st"> </span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb725-7" data-line-number="7"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"First principal component"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb725-8" data-line-number="8"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by first principal component"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb495"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb495-1" data-line-number="1"><span class="co">#deng_SCE$PC1 <- reducedDim(deng_SCE, "PCA")[,1]</span></a>
+<a class="sourceLine" id="cb495-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb495-3" data-line-number="3"><span class="kw">ggplot</span>(pca_df, <span class="kw">aes</span>(<span class="dt">x =</span> PC1, <span class="dt">y =</span> cell_type2, </a>
+<a class="sourceLine" id="cb495-4" data-line-number="4"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb495-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb495-6" data-line-number="6"><span class="st"> </span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb495-7" data-line-number="7"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"First principal component"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb495-8" data-line-number="8"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by first principal component"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/pca-pseudotime-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>As the plot above shows, PC1 struggles to correctly order cells early and late in the developmental timecourse, but overall does a relatively good job of ordering cells by developmental time.</p>
<p>Can bespoke pseudotime methods do better than naive application of PCA?</p>
-<div id="tscan" class="section level3">
-<h3><span class="header-section-number">11.1.1</span> TSCAN</h3>
+</div>
+<div id="tscan" class="section level2">
+<h2><span class="header-section-number">11.2</span> TSCAN</h2>
<p>TSCAN <span class="citation">(Ji and Ji <a href="#ref-tscam_rpkg">2019</a>)</span> combines clustering with pseudotime analysis. First it clusters the cells using <code>mclust</code>, which is based on a mixture of normal distributions. Then it builds a minimum spanning tree to connect the clusters. The branch of this tree that connects the largest number of clusters is the main branch which is used to determine pseudotime.</p>
<p><strong>Note</strong> From a connected graph with weighted edges, MST is the tree structure that connects all the nodes in a way that has the minimum total edge weight. The trajectory inference methods that use MST is based on the idea that nodes (cells/clusters of cells) and their connections represent the geometric shape of the data cloud in a two-dimenension space.</p>
<p>First we will try to use all genes to order the cells.</p>
-<div class="sourceCode" id="cb726"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb726-1" data-line-number="1">procdeng <-<span class="st"> </span>TSCAN<span class="op">::</span><span class="kw">preprocess</span>(<span class="kw">counts</span>(deng_SCE))</a>
-<a class="sourceLine" id="cb726-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb726-3" data-line-number="3"><span class="kw">colnames</span>(procdeng) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(deng_SCE)</a>
-<a class="sourceLine" id="cb726-4" data-line-number="4"></a>
-<a class="sourceLine" id="cb726-5" data-line-number="5">dengclust <-<span class="st"> </span>TSCAN<span class="op">::</span><span class="kw">exprmclust</span>(procdeng, <span class="dt">clusternum =</span> <span class="dv">10</span>)</a>
-<a class="sourceLine" id="cb726-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb726-7" data-line-number="7">TSCAN<span class="op">::</span><span class="kw">plotmclust</span>(dengclust)</a></code></pre></div>
+<div class="sourceCode" id="cb496"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb496-1" data-line-number="1">procdeng <-<span class="st"> </span>TSCAN<span class="op">::</span><span class="kw">preprocess</span>(<span class="kw">counts</span>(deng_SCE))</a>
+<a class="sourceLine" id="cb496-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb496-3" data-line-number="3"><span class="kw">colnames</span>(procdeng) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(deng_SCE)</a>
+<a class="sourceLine" id="cb496-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb496-5" data-line-number="5">dengclust <-<span class="st"> </span>TSCAN<span class="op">::</span><span class="kw">exprmclust</span>(procdeng, <span class="dt">clusternum =</span> <span class="dv">10</span>)</a>
+<a class="sourceLine" id="cb496-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb496-7" data-line-number="7">TSCAN<span class="op">::</span><span class="kw">plotmclust</span>(dengclust)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/tscan-all-genes-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb727"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb727-1" data-line-number="1">dengorderTSCAN <-<span class="st"> </span>TSCAN<span class="op">::</span><span class="kw">TSCANorder</span>(dengclust, <span class="dt">orderonly =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb727-2" data-line-number="2">pseudotime_order_tscan <-<span class="st"> </span><span class="kw">as.character</span>(dengorderTSCAN<span class="op">$</span>sample_name)</a>
-<a class="sourceLine" id="cb727-3" data-line-number="3">deng_SCE<span class="op">$</span>pseudotime_order_tscan <-<span class="st"> </span><span class="ot">NA</span></a>
-<a class="sourceLine" id="cb727-4" data-line-number="4">deng_SCE<span class="op">$</span>pseudotime_order_tscan[<span class="kw">as.numeric</span>(dengorderTSCAN<span class="op">$</span>sample_name)] <-<span class="st"> </span></a>
-<a class="sourceLine" id="cb727-5" data-line-number="5"><span class="st"> </span>dengorderTSCAN<span class="op">$</span>Pseudotime</a></code></pre></div>
+<div class="sourceCode" id="cb497"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb497-1" data-line-number="1">dengorderTSCAN <-<span class="st"> </span>TSCAN<span class="op">::</span><span class="kw">TSCANorder</span>(dengclust, <span class="dt">orderonly =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb497-2" data-line-number="2">pseudotime_order_tscan <-<span class="st"> </span><span class="kw">as.character</span>(dengorderTSCAN<span class="op">$</span>sample_name)</a>
+<a class="sourceLine" id="cb497-3" data-line-number="3">deng_SCE<span class="op">$</span>pseudotime_order_tscan <-<span class="st"> </span><span class="ot">NA</span></a>
+<a class="sourceLine" id="cb497-4" data-line-number="4">deng_SCE<span class="op">$</span>pseudotime_order_tscan[<span class="kw">as.numeric</span>(dengorderTSCAN<span class="op">$</span>sample_name)] <-<span class="st"> </span></a>
+<a class="sourceLine" id="cb497-5" data-line-number="5"><span class="st"> </span>dengorderTSCAN<span class="op">$</span>Pseudotime</a></code></pre></div>
<p>Frustratingly, TSCAN only provides pseudotime values for 221 of 268 cells, silently returning missing values for non-assigned cells.</p>
<p>Again, we examine which timepoints have been assigned to each state:</p>
-<div class="sourceCode" id="cb728"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb728-1" data-line-number="1">cellLabels[dengclust<span class="op">$</span>clusterid <span class="op">==</span><span class="st"> </span><span class="dv">10</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb498"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb498-1" data-line-number="1">cellLabels[dengclust<span class="op">$</span>clusterid <span class="op">==</span><span class="st"> </span><span class="dv">10</span>]</a></code></pre></div>
<pre><code>## [1] late2cell late2cell late2cell late2cell late2cell late2cell late2cell
## [8] late2cell late2cell late2cell
## 10 Levels: zy early2cell mid2cell late2cell 4cell 8cell ... lateblast</code></pre>
-<div class="sourceCode" id="cb730"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb730-1" data-line-number="1"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
-<a class="sourceLine" id="cb730-2" data-line-number="2"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_order_tscan, </a>
-<a class="sourceLine" id="cb730-3" data-line-number="3"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb730-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb730-5" data-line-number="5"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb730-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"TSCAN pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb730-7" data-line-number="7"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by TSCAN pseudotime"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb500"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb500-1" data-line-number="1"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
+<a class="sourceLine" id="cb500-2" data-line-number="2"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_order_tscan, </a>
+<a class="sourceLine" id="cb500-3" data-line-number="3"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb500-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb500-5" data-line-number="5"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb500-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"TSCAN pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb500-7" data-line-number="7"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by TSCAN pseudotime"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/tscan-vs-truth-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>TSCAN gets the development trajectory the “wrong way aroundâ€, in the sense that later pseudotime values correspond to early timepoints and vice versa. This is not inherently a problem (it is easy enough to reverse the ordering to get the intuitive interpretation of pseudotime), but overall it would be a stretch to suggest that TSCAN performs better than PCA on this dataset. (As it is a PCA-based method, perhaps this is not entirely surprising.)</p>
<p><strong>Exercise 1</strong> Compare results for different numbers of clusters (<code>clusternum</code>).</p>
</div>
-<div id="slingshot" class="section level3">
-<h3><span class="header-section-number">11.1.2</span> Slingshot</h3>
+<div id="slingshot" class="section level2">
+<h2><span class="header-section-number">11.3</span> Slingshot</h2>
<p><code>Slingshot</code> <span class="citation">(Street et al. <a href="#ref-Street2018-ac">2018</a>)</span> is a single-cell lineage inference tool, it can work with datasets with multiple branches. Slingshot has two stages: 1) the inference of the global lineage structure using MST on clustered data points and 2) the inference of pseudotime variables for cells along each lineage by fitting simultaneous ‘principal curves’ across multiple lineages.</p>
<p>Slingshot’s first stage uses a cluster-based MST to stably identify the key elements of the global lineage structure, i.e., the number of lineages and where they branch. This allows us to identify novel lineages while also accommodating the use of domain-specific knowledge to supervise parts of the tree (e.g., terminal cellular states). For the second stage, we propose a novel method called simultaneous principal curves, to fit smooth branching curves to these lineages, thereby translating the knowledge of global lineage structure into stable estimates of the underlying cell-level pseudotime variable for each lineage.</p>
<p><code>Slingshot</code> had consistently performing well across different datasets as reported by Saelens et al, let’s have a run for the <code>deng</code> dataset. It is recommended by <code>Slingshot</code> to run in a reduced dimensions.</p>
<p>__Note_ Principal curves are smooth one-dimensional curves that pass through the middle of a p-dimensional data set, providing a
nonlinear summary of the data. They are nonparametric, and their shape is suggested by the data (Hastie et al)<span class="citation">(Hastie and Stuetzle <a href="#ref-Hastie1989-pd">1989</a>)</span>.</p>
-<div class="sourceCode" id="cb731"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb731-1" data-line-number="1"><span class="co">## runing slingshot</span></a>
-<a class="sourceLine" id="cb731-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb731-3" data-line-number="3">deng_SCE <-<span class="st"> </span><span class="kw">slingshot</span>(deng_SCE, <span class="dt">clusterLabels =</span> <span class="st">'cell_type2'</span>,<span class="dt">reducedDim =</span> <span class="st">"PCA"</span>,</a>
-<a class="sourceLine" id="cb731-4" data-line-number="4"> <span class="dt">allow.breaks =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb501"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb501-1" data-line-number="1"><span class="co">## runing slingshot</span></a>
+<a class="sourceLine" id="cb501-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb501-3" data-line-number="3">deng_SCE <-<span class="st"> </span><span class="kw">slingshot</span>(deng_SCE, <span class="dt">clusterLabels =</span> <span class="st">'cell_type2'</span>,<span class="dt">reducedDim =</span> <span class="st">"PCA"</span>,</a>
+<a class="sourceLine" id="cb501-4" data-line-number="4"> <span class="dt">allow.breaks =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
<pre><code>## Using diagonal covariance matrix</code></pre>
-<div class="sourceCode" id="cb733"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb733-1" data-line-number="1"><span class="kw">summary</span>(deng_SCE<span class="op">$</span>slingPseudotime_<span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb503"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb503-1" data-line-number="1"><span class="kw">summary</span>(deng_SCE<span class="op">$</span>slingPseudotime_<span class="dv">1</span>)</a></code></pre></div>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 52.19 59.81 60.34 81.60 85.72 55</code></pre>
-<div class="sourceCode" id="cb735"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb735-1" data-line-number="1"><span class="co">## get lineages inferred by slingshot</span></a>
-<a class="sourceLine" id="cb735-2" data-line-number="2">lnes <-<span class="st"> </span><span class="kw">getLineages</span>(<span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>),</a>
-<a class="sourceLine" id="cb735-3" data-line-number="3"> deng_SCE<span class="op">$</span>cell_type2)</a></code></pre></div>
+<div class="sourceCode" id="cb505"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb505-1" data-line-number="1"><span class="co">## get lineages inferred by slingshot</span></a>
+<a class="sourceLine" id="cb505-2" data-line-number="2">lnes <-<span class="st"> </span><span class="kw">getLineages</span>(<span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>),</a>
+<a class="sourceLine" id="cb505-3" data-line-number="3"> deng_SCE<span class="op">$</span>cell_type2)</a></code></pre></div>
<pre><code>## Using diagonal covariance matrix</code></pre>
-<div class="sourceCode" id="cb737"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb737-1" data-line-number="1">lnes<span class="op">@</span>lineages</a></code></pre></div>
+<div class="sourceCode" id="cb507"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb507-1" data-line-number="1">lnes<span class="op">@</span>lineages</a></code></pre></div>
<pre><code>## $Lineage1
## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell"
## [6] "16cell" "midblast" "earlyblast"
@@ -677,82 +684,82 @@ nonlinear summary of the data. They are nonparametric, and their shape is sugges
## $Lineage3
## [1] "zy" "early2cell" "mid2cell" "late2cell" "4cell"
## [6] "16cell" "8cell"</code></pre>
-<div class="sourceCode" id="cb739"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb739-1" data-line-number="1"><span class="co">## plot the lineage overlay on the orginal PCA plot</span></a>
-<a class="sourceLine" id="cb739-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb739-3" data-line-number="3"><span class="kw">plot</span>(<span class="kw">reducedDims</span>(deng_SCE)<span class="op">$</span>PCA, <span class="dt">col =</span> my_color[<span class="kw">as.character</span>(deng_SCE<span class="op">$</span>cell_type2)], </a>
-<a class="sourceLine" id="cb739-4" data-line-number="4"> <span class="dt">pch=</span><span class="dv">16</span>, </a>
-<a class="sourceLine" id="cb739-5" data-line-number="5"> <span class="dt">asp =</span> <span class="dv">1</span>)</a>
-<a class="sourceLine" id="cb739-6" data-line-number="6"><span class="kw">legend</span>(<span class="st">"bottomleft"</span>,<span class="dt">legend =</span> <span class="kw">names</span>(my_color[<span class="kw">levels</span>(deng_SCE<span class="op">$</span>cell_type2)]), </a>
-<a class="sourceLine" id="cb739-7" data-line-number="7"> <span class="dt">fill =</span> my_color[<span class="kw">levels</span>(deng_SCE<span class="op">$</span>cell_type2)])</a>
-<a class="sourceLine" id="cb739-8" data-line-number="8"><span class="kw">lines</span>(<span class="kw">SlingshotDataSet</span>(deng_SCE), <span class="dt">lwd=</span><span class="dv">2</span>, <span class="dt">type =</span> <span class="st">'lineages'</span>, <span class="dt">col =</span> <span class="kw">c</span>(<span class="st">"black"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb509"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb509-1" data-line-number="1"><span class="co">## plot the lineage overlay on the orginal PCA plot</span></a>
+<a class="sourceLine" id="cb509-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb509-3" data-line-number="3"><span class="kw">plot</span>(<span class="kw">reducedDims</span>(deng_SCE)<span class="op">$</span>PCA, <span class="dt">col =</span> my_color[<span class="kw">as.character</span>(deng_SCE<span class="op">$</span>cell_type2)], </a>
+<a class="sourceLine" id="cb509-4" data-line-number="4"> <span class="dt">pch=</span><span class="dv">16</span>, </a>
+<a class="sourceLine" id="cb509-5" data-line-number="5"> <span class="dt">asp =</span> <span class="dv">1</span>)</a>
+<a class="sourceLine" id="cb509-6" data-line-number="6"><span class="kw">legend</span>(<span class="st">"bottomleft"</span>,<span class="dt">legend =</span> <span class="kw">names</span>(my_color[<span class="kw">levels</span>(deng_SCE<span class="op">$</span>cell_type2)]), </a>
+<a class="sourceLine" id="cb509-7" data-line-number="7"> <span class="dt">fill =</span> my_color[<span class="kw">levels</span>(deng_SCE<span class="op">$</span>cell_type2)])</a>
+<a class="sourceLine" id="cb509-8" data-line-number="8"><span class="kw">lines</span>(<span class="kw">SlingshotDataSet</span>(deng_SCE), <span class="dt">lwd=</span><span class="dv">2</span>, <span class="dt">type =</span> <span class="st">'lineages'</span>, <span class="dt">col =</span> <span class="kw">c</span>(<span class="st">"black"</span>))</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_slingshot-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb740"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb740-1" data-line-number="1"><span class="co">## Plotting the pseudotime inferred by slingshot by cell types</span></a>
-<a class="sourceLine" id="cb740-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb740-3" data-line-number="3">slingshot_df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="kw">colData</span>(deng_SCE))</a>
-<a class="sourceLine" id="cb740-4" data-line-number="4"></a>
-<a class="sourceLine" id="cb740-5" data-line-number="5"><span class="kw">ggplot</span>(slingshot_df, <span class="kw">aes</span>(<span class="dt">x =</span> slingPseudotime_<span class="dv">1</span>, <span class="dt">y =</span> cell_type2, </a>
-<a class="sourceLine" id="cb740-6" data-line-number="6"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb740-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb740-8" data-line-number="8"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"First Slingshot pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"cell type"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb740-9" data-line-number="9"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by Slingshot pseudotime"</span>)<span class="op">+</span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)</a></code></pre></div>
+<div class="sourceCode" id="cb510"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb510-1" data-line-number="1"><span class="co">## Plotting the pseudotime inferred by slingshot by cell types</span></a>
+<a class="sourceLine" id="cb510-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb510-3" data-line-number="3">slingshot_df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="kw">colData</span>(deng_SCE))</a>
+<a class="sourceLine" id="cb510-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb510-5" data-line-number="5"><span class="kw">ggplot</span>(slingshot_df, <span class="kw">aes</span>(<span class="dt">x =</span> slingPseudotime_<span class="dv">1</span>, <span class="dt">y =</span> cell_type2, </a>
+<a class="sourceLine" id="cb510-6" data-line-number="6"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb510-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb510-8" data-line-number="8"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"First Slingshot pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"cell type"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb510-9" data-line-number="9"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by Slingshot pseudotime"</span>)<span class="op">+</span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_slingshot-2.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb741"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb741-1" data-line-number="1"><span class="kw">ggplot</span>(slingshot_df, <span class="kw">aes</span>(<span class="dt">x =</span> slingPseudotime_<span class="dv">2</span>, <span class="dt">y =</span> cell_type2, </a>
-<a class="sourceLine" id="cb741-2" data-line-number="2"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb741-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb741-4" data-line-number="4"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Second Slingshot pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"cell type"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb741-5" data-line-number="5"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by Slingshot pseudotime"</span>)<span class="op">+</span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)</a></code></pre></div>
+<div class="sourceCode" id="cb511"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb511-1" data-line-number="1"><span class="kw">ggplot</span>(slingshot_df, <span class="kw">aes</span>(<span class="dt">x =</span> slingPseudotime_<span class="dv">2</span>, <span class="dt">y =</span> cell_type2, </a>
+<a class="sourceLine" id="cb511-2" data-line-number="2"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb511-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb511-4" data-line-number="4"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Second Slingshot pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"cell type"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb511-5" data-line-number="5"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by Slingshot pseudotime"</span>)<span class="op">+</span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_slingshot-3.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb742"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb742-1" data-line-number="1"><span class="kw">ggplot</span>(slingshot_df, <span class="kw">aes</span>(<span class="dt">x =</span> slingPseudotime_<span class="dv">1</span>, <span class="dt">y =</span> slingPseudotime_<span class="dv">2</span>, </a>
-<a class="sourceLine" id="cb742-2" data-line-number="2"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb742-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb742-4" data-line-number="4"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"First Slingshot pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Second Slingshot pseudotime"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb742-5" data-line-number="5"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by Slingshot pseudotime"</span>)<span class="op">+</span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)</a></code></pre></div>
+<div class="sourceCode" id="cb512"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb512-1" data-line-number="1"><span class="kw">ggplot</span>(slingshot_df, <span class="kw">aes</span>(<span class="dt">x =</span> slingPseudotime_<span class="dv">1</span>, <span class="dt">y =</span> slingPseudotime_<span class="dv">2</span>, </a>
+<a class="sourceLine" id="cb512-2" data-line-number="2"> <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb512-3" data-line-number="3"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb512-4" data-line-number="4"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"First Slingshot pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Second Slingshot pseudotime"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb512-5" data-line-number="5"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by Slingshot pseudotime"</span>)<span class="op">+</span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> my_color)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_slingshot-4.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb743"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb743-1" data-line-number="1"><span class="co"># </span></a>
-<a class="sourceLine" id="cb743-2" data-line-number="2"><span class="co"># ggplot(slingshot_df, aes(x = slingPseudotime_1, y = slingPseudotime_2, </span></a>
-<a class="sourceLine" id="cb743-3" data-line-number="3"><span class="co"># colour = slingPseudotime_3)) +</span></a>
-<a class="sourceLine" id="cb743-4" data-line-number="4"><span class="co"># geom_point() + theme_classic() +</span></a>
-<a class="sourceLine" id="cb743-5" data-line-number="5"><span class="co"># xlab("First Slingshot pseudotime") + ylab("Second Slingshot pseudotime") +</span></a>
-<a class="sourceLine" id="cb743-6" data-line-number="6"><span class="co"># ggtitle("Cells ordered by Slingshot pseudotime")+facet_wrap(.~cell_type2)</span></a></code></pre></div>
+<div class="sourceCode" id="cb513"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb513-1" data-line-number="1"><span class="co"># </span></a>
+<a class="sourceLine" id="cb513-2" data-line-number="2"><span class="co"># ggplot(slingshot_df, aes(x = slingPseudotime_1, y = slingPseudotime_2, </span></a>
+<a class="sourceLine" id="cb513-3" data-line-number="3"><span class="co"># colour = slingPseudotime_3)) +</span></a>
+<a class="sourceLine" id="cb513-4" data-line-number="4"><span class="co"># geom_point() + theme_classic() +</span></a>
+<a class="sourceLine" id="cb513-5" data-line-number="5"><span class="co"># xlab("First Slingshot pseudotime") + ylab("Second Slingshot pseudotime") +</span></a>
+<a class="sourceLine" id="cb513-6" data-line-number="6"><span class="co"># ggtitle("Cells ordered by Slingshot pseudotime")+facet_wrap(.~cell_type2)</span></a></code></pre></div>
<p><em>Note</em> You can also supply a start and an end cluster to <code>slingshot</code>.</p>
<p><em>Comments</em> Did you notice the ordering of clusters in the lineage prediced for <code>16cells</code> state? There is an outlier-like cell in the 16cell group, find the outlier and remove it, then re-run <code>Slingshot</code>.</p>
-</div>
<div id="gam-general-additive-model-for-identifying-temporally-expressed-genes" class="section level3">
-<h3><span class="header-section-number">11.1.3</span> GAM general additive model for identifying temporally expressed genes</h3>
+<h3><span class="header-section-number">11.3.1</span> GAM general additive model for identifying temporally expressed genes</h3>
<p>After running slingshot, an interesting next step may be to find genes that change their expression over the course of development. We demonstrate one possible method for this type of analysis on the 100 most variable genes. We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression.</p>
-<div class="sourceCode" id="cb744"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb744-1" data-line-number="1"><span class="kw">library</span>(gam)</a>
-<a class="sourceLine" id="cb744-2" data-line-number="2">t <-<span class="st"> </span>deng_SCE<span class="op">$</span>slingPseudotime_<span class="dv">1</span></a>
-<a class="sourceLine" id="cb744-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb744-4" data-line-number="4"><span class="co"># for time, only look at the 100 most variable genes </span></a>
-<a class="sourceLine" id="cb744-5" data-line-number="5">Y <-<span class="st"> </span><span class="kw">log1p</span>(<span class="kw">assay</span>(deng_SCE,<span class="st">"logcounts"</span>))</a>
-<a class="sourceLine" id="cb744-6" data-line-number="6"></a>
-<a class="sourceLine" id="cb744-7" data-line-number="7">var100 <-<span class="st"> </span><span class="kw">names</span>(<span class="kw">sort</span>(<span class="kw">apply</span>(Y,<span class="dv">1</span>,var),<span class="dt">decreasing =</span> <span class="ot">TRUE</span>))[<span class="dv">1</span><span class="op">:</span><span class="dv">100</span>]</a>
-<a class="sourceLine" id="cb744-8" data-line-number="8">Y <-<span class="st"> </span>Y[var100,]</a>
-<a class="sourceLine" id="cb744-9" data-line-number="9"></a>
-<a class="sourceLine" id="cb744-10" data-line-number="10"><span class="co"># fit a GAM with a loess term for pseudotime</span></a>
-<a class="sourceLine" id="cb744-11" data-line-number="11">gam.pval <-<span class="st"> </span><span class="kw">apply</span>(Y,<span class="dv">1</span>,<span class="cf">function</span>(z){</a>
-<a class="sourceLine" id="cb744-12" data-line-number="12"> d <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">z=</span>z, <span class="dt">t=</span>t)</a>
-<a class="sourceLine" id="cb744-13" data-line-number="13"> <span class="kw">suppressWarnings</span>({</a>
-<a class="sourceLine" id="cb744-14" data-line-number="14"> tmp <-<span class="st"> </span><span class="kw">gam</span>(z <span class="op">~</span><span class="st"> </span><span class="kw">lo</span>(t), <span class="dt">data=</span>d)</a>
-<a class="sourceLine" id="cb744-15" data-line-number="15"> })</a>
-<a class="sourceLine" id="cb744-16" data-line-number="16"> p <-<span class="st"> </span><span class="kw">summary</span>(tmp)[<span class="dv">3</span>][[<span class="dv">1</span>]][<span class="dv">2</span>,<span class="dv">3</span>]</a>
-<a class="sourceLine" id="cb744-17" data-line-number="17"> p</a>
-<a class="sourceLine" id="cb744-18" data-line-number="18">})</a>
-<a class="sourceLine" id="cb744-19" data-line-number="19"></a>
-<a class="sourceLine" id="cb744-20" data-line-number="20"><span class="co">## Plot the top 100 genes' expression </span></a>
-<a class="sourceLine" id="cb744-21" data-line-number="21"></a>
-<a class="sourceLine" id="cb744-22" data-line-number="22">topgenes <-<span class="st"> </span><span class="kw">names</span>(<span class="kw">sort</span>(gam.pval, <span class="dt">decreasing =</span> <span class="ot">FALSE</span>))[<span class="dv">1</span><span class="op">:</span><span class="dv">100</span>]</a>
-<a class="sourceLine" id="cb744-23" data-line-number="23"></a>
-<a class="sourceLine" id="cb744-24" data-line-number="24">heatdata <-<span class="st"> </span><span class="kw">assays</span>(deng_SCE)<span class="op">$</span>logcounts[topgenes, <span class="kw">order</span>(t, <span class="dt">na.last =</span> <span class="ot">NA</span>)]</a>
-<a class="sourceLine" id="cb744-25" data-line-number="25">heatclus <-<span class="st"> </span>deng_SCE<span class="op">$</span>cell_type2[<span class="kw">order</span>(t, <span class="dt">na.last =</span> <span class="ot">NA</span>)]</a>
-<a class="sourceLine" id="cb744-26" data-line-number="26"></a>
-<a class="sourceLine" id="cb744-27" data-line-number="27"><span class="kw">heatmap</span>(heatdata, <span class="dt">Colv =</span> <span class="ot">NA</span>,</a>
-<a class="sourceLine" id="cb744-28" data-line-number="28"> <span class="dt">ColSideColors =</span> my_color[heatclus],<span class="dt">cexRow =</span> <span class="dv">1</span>,<span class="dt">cexCol =</span> <span class="dv">1</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb514"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb514-1" data-line-number="1"><span class="kw">library</span>(gam)</a>
+<a class="sourceLine" id="cb514-2" data-line-number="2">t <-<span class="st"> </span>deng_SCE<span class="op">$</span>slingPseudotime_<span class="dv">1</span></a>
+<a class="sourceLine" id="cb514-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb514-4" data-line-number="4"><span class="co"># for time, only look at the 100 most variable genes </span></a>
+<a class="sourceLine" id="cb514-5" data-line-number="5">Y <-<span class="st"> </span><span class="kw">log1p</span>(<span class="kw">assay</span>(deng_SCE,<span class="st">"logcounts"</span>))</a>
+<a class="sourceLine" id="cb514-6" data-line-number="6"></a>
+<a class="sourceLine" id="cb514-7" data-line-number="7">var100 <-<span class="st"> </span><span class="kw">names</span>(<span class="kw">sort</span>(<span class="kw">apply</span>(Y,<span class="dv">1</span>,var),<span class="dt">decreasing =</span> <span class="ot">TRUE</span>))[<span class="dv">1</span><span class="op">:</span><span class="dv">100</span>]</a>
+<a class="sourceLine" id="cb514-8" data-line-number="8">Y <-<span class="st"> </span>Y[var100,]</a>
+<a class="sourceLine" id="cb514-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb514-10" data-line-number="10"><span class="co"># fit a GAM with a loess term for pseudotime</span></a>
+<a class="sourceLine" id="cb514-11" data-line-number="11">gam.pval <-<span class="st"> </span><span class="kw">apply</span>(Y,<span class="dv">1</span>,<span class="cf">function</span>(z){</a>
+<a class="sourceLine" id="cb514-12" data-line-number="12"> d <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">z=</span>z, <span class="dt">t=</span>t)</a>
+<a class="sourceLine" id="cb514-13" data-line-number="13"> <span class="kw">suppressWarnings</span>({</a>
+<a class="sourceLine" id="cb514-14" data-line-number="14"> tmp <-<span class="st"> </span><span class="kw">gam</span>(z <span class="op">~</span><span class="st"> </span><span class="kw">lo</span>(t), <span class="dt">data=</span>d)</a>
+<a class="sourceLine" id="cb514-15" data-line-number="15"> })</a>
+<a class="sourceLine" id="cb514-16" data-line-number="16"> p <-<span class="st"> </span><span class="kw">summary</span>(tmp)[<span class="dv">3</span>][[<span class="dv">1</span>]][<span class="dv">2</span>,<span class="dv">3</span>]</a>
+<a class="sourceLine" id="cb514-17" data-line-number="17"> p</a>
+<a class="sourceLine" id="cb514-18" data-line-number="18">})</a>
+<a class="sourceLine" id="cb514-19" data-line-number="19"></a>
+<a class="sourceLine" id="cb514-20" data-line-number="20"><span class="co">## Plot the top 100 genes' expression </span></a>
+<a class="sourceLine" id="cb514-21" data-line-number="21"></a>
+<a class="sourceLine" id="cb514-22" data-line-number="22">topgenes <-<span class="st"> </span><span class="kw">names</span>(<span class="kw">sort</span>(gam.pval, <span class="dt">decreasing =</span> <span class="ot">FALSE</span>))[<span class="dv">1</span><span class="op">:</span><span class="dv">100</span>]</a>
+<a class="sourceLine" id="cb514-23" data-line-number="23"></a>
+<a class="sourceLine" id="cb514-24" data-line-number="24">heatdata <-<span class="st"> </span><span class="kw">assays</span>(deng_SCE)<span class="op">$</span>logcounts[topgenes, <span class="kw">order</span>(t, <span class="dt">na.last =</span> <span class="ot">NA</span>)]</a>
+<a class="sourceLine" id="cb514-25" data-line-number="25">heatclus <-<span class="st"> </span>deng_SCE<span class="op">$</span>cell_type2[<span class="kw">order</span>(t, <span class="dt">na.last =</span> <span class="ot">NA</span>)]</a>
+<a class="sourceLine" id="cb514-26" data-line-number="26"></a>
+<a class="sourceLine" id="cb514-27" data-line-number="27"><span class="kw">heatmap</span>(heatdata, <span class="dt">Colv =</span> <span class="ot">NA</span>,</a>
+<a class="sourceLine" id="cb514-28" data-line-number="28"> <span class="dt">ColSideColors =</span> my_color[heatclus],<span class="dt">cexRow =</span> <span class="dv">1</span>,<span class="dt">cexCol =</span> <span class="dv">1</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/gam_tm_deg-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>We will regress each gene on the pseudotime variable we have generated, using a general additive model (GAM). This allows us to detect non-linear patterns in gene expression.</p>
</div>
-<div id="monocle" class="section level3">
-<h3><span class="header-section-number">11.1.4</span> Monocle</h3>
+</div>
+<div id="monocle" class="section level2">
+<h2><span class="header-section-number">11.4</span> Monocle</h2>
<p>The original <code>Monocle</code> <span class="citation">(Trapnell et al. <a href="#ref-Trapnell2014-os">2014</a>)</span> method skips the clustering stage of TSCAN and directly builds a
minimum spanning tree on a reduced dimension representation (using ‘ICA’) of the
cells to connect all cells. <code>Monocle</code> then identifies the longest path
@@ -760,9 +767,8 @@ in this tree as the main branch and uses this to determine pseudotime. Priors ar
<p>If the data contains diverging trajectories (i.e. one cell type differentiates into two different
cell-types), monocle can identify these. Each of the resulting forked paths is
defined as a separate cell state.</p>
-</div>
<div id="monocle-2" class="section level3">
-<h3><span class="header-section-number">11.1.5</span> Monocle 2</h3>
+<h3><span class="header-section-number">11.4.1</span> Monocle 2</h3>
<p><code>Monocle 2</code> <span class="citation">(Qiu et al. <a href="#ref-Qiu2017-xq">2017</a>)</span> uses a different approach, with dimensionality reduction and ordering performed by reverse
graph embedding (RGE), allowing it to detect branching events in an unsupervised manner. RGE, a machine-learning strategy, learns a
‘principal graph’ to describe the single-cell dataset. RGE also learns the mapping function of data points on the trajectory back to the original high dimentional space simutaneously. In doing so, it aims to position the latent points in the lower dimension space (along the trajectory) while also ensuring their corresponding
@@ -772,65 +778,65 @@ DDRTree learns latent points and the projection of latent points to the points i
<p>DDRTree returns a principal tree of the centroids of cell clusters in low dimension, pseudotime is derived for individual cells by calculating geomdestic distance of their projections onto the tree from the root (user-defined or arbitrarily assigned).</p>
<p><strong>Note</strong> Informally, a principal graph is like a principal curve which passes through the ‘middle’ of a data set but is
allowed to have branches.</p>
-<div class="sourceCode" id="cb745"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb745-1" data-line-number="1"><span class="kw">library</span>(monocle)</a>
-<a class="sourceLine" id="cb745-2" data-line-number="2"><span class="co">#d <- deng_SCE[m3dGenes,]</span></a>
-<a class="sourceLine" id="cb745-3" data-line-number="3"><span class="co">## feature selection </span></a>
-<a class="sourceLine" id="cb745-4" data-line-number="4">deng <-<span class="st"> </span><span class="kw">counts</span>(deng_SCE)</a>
-<a class="sourceLine" id="cb745-5" data-line-number="5"></a>
-<a class="sourceLine" id="cb745-6" data-line-number="6">m3dGenes <-<span class="st"> </span><span class="kw">as.character</span>(</a>
-<a class="sourceLine" id="cb745-7" data-line-number="7"> <span class="kw">M3DropFeatureSelection</span>(deng)<span class="op">$</span>Gene</a>
-<a class="sourceLine" id="cb745-8" data-line-number="8">)</a></code></pre></div>
+<div class="sourceCode" id="cb515"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb515-1" data-line-number="1"><span class="kw">library</span>(monocle)</a>
+<a class="sourceLine" id="cb515-2" data-line-number="2"><span class="co">#d <- deng_SCE[m3dGenes,]</span></a>
+<a class="sourceLine" id="cb515-3" data-line-number="3"><span class="co">## feature selection </span></a>
+<a class="sourceLine" id="cb515-4" data-line-number="4">deng <-<span class="st"> </span><span class="kw">counts</span>(deng_SCE)</a>
+<a class="sourceLine" id="cb515-5" data-line-number="5"></a>
+<a class="sourceLine" id="cb515-6" data-line-number="6">m3dGenes <-<span class="st"> </span><span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb515-7" data-line-number="7"> <span class="kw">M3DropFeatureSelection</span>(deng)<span class="op">$</span>Gene</a>
+<a class="sourceLine" id="cb515-8" data-line-number="8">)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/monocle2-all-genes-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb746"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb746-1" data-line-number="1">d <-<span class="st"> </span>deng_SCE[<span class="kw">which</span>(<span class="kw">rownames</span>(deng_SCE) <span class="op">%in%</span><span class="st"> </span>m3dGenes), ]</a>
-<a class="sourceLine" id="cb746-2" data-line-number="2">d <-<span class="st"> </span>d[<span class="op">!</span><span class="kw">duplicated</span>(<span class="kw">rownames</span>(d)), ]</a>
-<a class="sourceLine" id="cb746-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb746-4" data-line-number="4"><span class="kw">colnames</span>(d) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(d)</a>
-<a class="sourceLine" id="cb746-5" data-line-number="5">geneNames <-<span class="st"> </span><span class="kw">rownames</span>(d)</a>
-<a class="sourceLine" id="cb746-6" data-line-number="6"><span class="kw">rownames</span>(d) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">nrow</span>(d)</a>
-<a class="sourceLine" id="cb746-7" data-line-number="7">pd <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">timepoint =</span> cellLabels)</a>
-<a class="sourceLine" id="cb746-8" data-line-number="8">pd <-<span class="st"> </span><span class="kw">new</span>(<span class="st">"AnnotatedDataFrame"</span>, <span class="dt">data=</span>pd)</a>
-<a class="sourceLine" id="cb746-9" data-line-number="9">fd <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">gene_short_name =</span> geneNames)</a>
-<a class="sourceLine" id="cb746-10" data-line-number="10">fd <-<span class="st"> </span><span class="kw">new</span>(<span class="st">"AnnotatedDataFrame"</span>, <span class="dt">data=</span>fd)</a>
-<a class="sourceLine" id="cb746-11" data-line-number="11"></a>
-<a class="sourceLine" id="cb746-12" data-line-number="12">dCellData <-<span class="st"> </span><span class="kw">newCellDataSet</span>(<span class="kw">counts</span>(d), <span class="dt">phenoData =</span> pd, <span class="dt">featureData =</span> fd)</a>
-<a class="sourceLine" id="cb746-13" data-line-number="13"><span class="co">#</span></a>
-<a class="sourceLine" id="cb746-14" data-line-number="14">dCellData <-<span class="st"> </span><span class="kw">setOrderingFilter</span>(dCellData, <span class="kw">which</span>(geneNames <span class="op">%in%</span><span class="st"> </span>m3dGenes))</a>
-<a class="sourceLine" id="cb746-15" data-line-number="15">dCellData <-<span class="st"> </span><span class="kw">estimateSizeFactors</span>(dCellData)</a>
-<a class="sourceLine" id="cb746-16" data-line-number="16">dCellDataSet <-<span class="st"> </span><span class="kw">reduceDimension</span>(dCellData,<span class="dt">reduction_method =</span> <span class="st">"DDRTree"</span>, <span class="dt">pseudo_expr =</span> <span class="dv">1</span>)</a>
-<a class="sourceLine" id="cb746-17" data-line-number="17">dCellDataSet <-<span class="st"> </span><span class="kw">orderCells</span>(dCellDataSet, <span class="dt">reverse =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb746-18" data-line-number="18"><span class="kw">plot_cell_trajectory</span>(dCellDataSet)</a></code></pre></div>
+<div class="sourceCode" id="cb516"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb516-1" data-line-number="1">d <-<span class="st"> </span>deng_SCE[<span class="kw">which</span>(<span class="kw">rownames</span>(deng_SCE) <span class="op">%in%</span><span class="st"> </span>m3dGenes), ]</a>
+<a class="sourceLine" id="cb516-2" data-line-number="2">d <-<span class="st"> </span>d[<span class="op">!</span><span class="kw">duplicated</span>(<span class="kw">rownames</span>(d)), ]</a>
+<a class="sourceLine" id="cb516-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb516-4" data-line-number="4"><span class="kw">colnames</span>(d) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(d)</a>
+<a class="sourceLine" id="cb516-5" data-line-number="5">geneNames <-<span class="st"> </span><span class="kw">rownames</span>(d)</a>
+<a class="sourceLine" id="cb516-6" data-line-number="6"><span class="kw">rownames</span>(d) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">nrow</span>(d)</a>
+<a class="sourceLine" id="cb516-7" data-line-number="7">pd <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">timepoint =</span> cellLabels)</a>
+<a class="sourceLine" id="cb516-8" data-line-number="8">pd <-<span class="st"> </span><span class="kw">new</span>(<span class="st">"AnnotatedDataFrame"</span>, <span class="dt">data=</span>pd)</a>
+<a class="sourceLine" id="cb516-9" data-line-number="9">fd <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">gene_short_name =</span> geneNames)</a>
+<a class="sourceLine" id="cb516-10" data-line-number="10">fd <-<span class="st"> </span><span class="kw">new</span>(<span class="st">"AnnotatedDataFrame"</span>, <span class="dt">data=</span>fd)</a>
+<a class="sourceLine" id="cb516-11" data-line-number="11"></a>
+<a class="sourceLine" id="cb516-12" data-line-number="12">dCellData <-<span class="st"> </span><span class="kw">newCellDataSet</span>(<span class="kw">counts</span>(d), <span class="dt">phenoData =</span> pd, <span class="dt">featureData =</span> fd)</a>
+<a class="sourceLine" id="cb516-13" data-line-number="13"><span class="co">#</span></a>
+<a class="sourceLine" id="cb516-14" data-line-number="14">dCellData <-<span class="st"> </span><span class="kw">setOrderingFilter</span>(dCellData, <span class="kw">which</span>(geneNames <span class="op">%in%</span><span class="st"> </span>m3dGenes))</a>
+<a class="sourceLine" id="cb516-15" data-line-number="15">dCellData <-<span class="st"> </span><span class="kw">estimateSizeFactors</span>(dCellData)</a>
+<a class="sourceLine" id="cb516-16" data-line-number="16">dCellDataSet <-<span class="st"> </span><span class="kw">reduceDimension</span>(dCellData,<span class="dt">reduction_method =</span> <span class="st">"DDRTree"</span>, <span class="dt">pseudo_expr =</span> <span class="dv">1</span>)</a>
+<a class="sourceLine" id="cb516-17" data-line-number="17">dCellDataSet <-<span class="st"> </span><span class="kw">orderCells</span>(dCellDataSet, <span class="dt">reverse =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb516-18" data-line-number="18"><span class="kw">plot_cell_trajectory</span>(dCellDataSet)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/monocle2-all-genes-2.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb747"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb747-1" data-line-number="1"><span class="co"># Store the ordering</span></a>
-<a class="sourceLine" id="cb747-2" data-line-number="2">pseudotime_monocle2 <-</a>
-<a class="sourceLine" id="cb747-3" data-line-number="3"><span class="st"> </span><span class="kw">data.frame</span>(</a>
-<a class="sourceLine" id="cb747-4" data-line-number="4"> <span class="dt">Timepoint =</span> <span class="kw">phenoData</span>(dCellDataSet)<span class="op">$</span>timepoint,</a>
-<a class="sourceLine" id="cb747-5" data-line-number="5"> <span class="dt">pseudotime =</span> <span class="kw">phenoData</span>(dCellDataSet)<span class="op">$</span>Pseudotime,</a>
-<a class="sourceLine" id="cb747-6" data-line-number="6"> <span class="dt">State =</span> <span class="kw">phenoData</span>(dCellDataSet)<span class="op">$</span>State</a>
-<a class="sourceLine" id="cb747-7" data-line-number="7"> )</a>
-<a class="sourceLine" id="cb747-8" data-line-number="8"><span class="kw">rownames</span>(pseudotime_monocle2) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(d)</a>
-<a class="sourceLine" id="cb747-9" data-line-number="9">pseudotime_order_monocle <-</a>
-<a class="sourceLine" id="cb747-10" data-line-number="10"><span class="st"> </span><span class="kw">rownames</span>(pseudotime_monocle2[<span class="kw">order</span>(pseudotime_monocle2<span class="op">$</span>pseudotime), ])</a></code></pre></div>
+<div class="sourceCode" id="cb517"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb517-1" data-line-number="1"><span class="co"># Store the ordering</span></a>
+<a class="sourceLine" id="cb517-2" data-line-number="2">pseudotime_monocle2 <-</a>
+<a class="sourceLine" id="cb517-3" data-line-number="3"><span class="st"> </span><span class="kw">data.frame</span>(</a>
+<a class="sourceLine" id="cb517-4" data-line-number="4"> <span class="dt">Timepoint =</span> <span class="kw">phenoData</span>(dCellDataSet)<span class="op">$</span>timepoint,</a>
+<a class="sourceLine" id="cb517-5" data-line-number="5"> <span class="dt">pseudotime =</span> <span class="kw">phenoData</span>(dCellDataSet)<span class="op">$</span>Pseudotime,</a>
+<a class="sourceLine" id="cb517-6" data-line-number="6"> <span class="dt">State =</span> <span class="kw">phenoData</span>(dCellDataSet)<span class="op">$</span>State</a>
+<a class="sourceLine" id="cb517-7" data-line-number="7"> )</a>
+<a class="sourceLine" id="cb517-8" data-line-number="8"><span class="kw">rownames</span>(pseudotime_monocle2) <-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">ncol</span>(d)</a>
+<a class="sourceLine" id="cb517-9" data-line-number="9">pseudotime_order_monocle <-</a>
+<a class="sourceLine" id="cb517-10" data-line-number="10"><span class="st"> </span><span class="kw">rownames</span>(pseudotime_monocle2[<span class="kw">order</span>(pseudotime_monocle2<span class="op">$</span>pseudotime), ])</a></code></pre></div>
<p><em>Note</em> check other available methods for <code>?reduceDimension</code></p>
<p>We can again compare the inferred pseudotime to the known sampling timepoints.</p>
-<div class="sourceCode" id="cb748"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb748-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_monocle2 <-<span class="st"> </span>pseudotime_monocle2<span class="op">$</span>pseudotime</a>
-<a class="sourceLine" id="cb748-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb748-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
-<a class="sourceLine" id="cb748-4" data-line-number="4"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_monocle2, </a>
-<a class="sourceLine" id="cb748-5" data-line-number="5"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb748-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb748-7" data-line-number="7"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb748-8" data-line-number="8"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"monocle2 pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb748-9" data-line-number="9"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by monocle2 pseudotime"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb518"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb518-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_monocle2 <-<span class="st"> </span>pseudotime_monocle2<span class="op">$</span>pseudotime</a>
+<a class="sourceLine" id="cb518-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb518-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
+<a class="sourceLine" id="cb518-4" data-line-number="4"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_monocle2, </a>
+<a class="sourceLine" id="cb518-5" data-line-number="5"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb518-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb518-7" data-line-number="7"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb518-8" data-line-number="8"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"monocle2 pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb518-9" data-line-number="9"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by monocle2 pseudotime"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/monocle-vs-truth-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Monocle 2 performs pretty well on these cells.</p>
</div>
<div id="monocle-3" class="section level3">
-<h3><span class="header-section-number">11.1.6</span> Monocle 3</h3>
+<h3><span class="header-section-number">11.4.2</span> Monocle 3</h3>
<p><a href="https://www.nature.com/articles/s41586-019-0969-x"><code>Monocle3</code></a><span class="citation">(Cao et al. <a href="#ref-Cao2019-cj">2019</a>)</span> is the updated single-cell analysis toolkit for analysing large datasets. <a href="https://cole-trapnell-lab.github.io/monocle3/docs/starting/">Monocle 3</a> is designed for use with absolute transcript counts (e.g. from UMI experiments). It first does dimension reduction with UMAP and then clusters the cells with Louvian/Leiden algorithms and merge adjacent groups into supergroup, and finaly resovles the trajectories individual cells can take during development, identifies
the locations of branches and convergences within each supergroup.</p>
<p>In short, Monocle3 uses <code>UMAP</code> to construct a initial trajectory inference and refines it with learning principal graph.</p>
<p>It builds KNN graph in the UMAP dimensions and runs Louvain/Leiden algorithms om the KNN graph to derive communities; edges are drawn to connect communities that have more links (Partitioned Approximate Graph Abstraction (PAGA) graph). Each component of the PAGA grah is passed to the next step which is learning principal graph based on the SimplePPT algorithm. The pseudotime is calculated for individual cells by projecting the cells to their nearest point on the principal graph edge and measure geodesic distance along of principal points to the closest of their root nodes.</p>
-<div class="sourceCode" id="cb749"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb749-1" data-line-number="1"><span class="kw">library</span>(monocle3)</a></code></pre></div>
+<div class="sourceCode" id="cb519"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb519-1" data-line-number="1"><span class="kw">library</span>(monocle3)</a></code></pre></div>
<pre><code>##
## Attaching package: 'monocle3'</code></pre>
<pre><code>## The following objects are masked from 'package:monocle':
@@ -840,91 +846,92 @@ the locations of branches and convergences within each supergroup.</p>
<pre><code>## The following objects are masked from 'package:Biobase':
##
## exprs, fData, fData<-, pData, pData<-</code></pre>
-<div class="sourceCode" id="cb753"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb753-1" data-line-number="1">gene_meta <-<span class="st"> </span><span class="kw">rowData</span>(deng_SCE)</a>
-<a class="sourceLine" id="cb753-2" data-line-number="2"><span class="co">#gene_metadata must contain a column verbatim named 'gene_short_name' for certain functions.</span></a>
-<a class="sourceLine" id="cb753-3" data-line-number="3">gene_meta<span class="op">$</span>gene_short_name <-<span class="st"> </span><span class="kw">rownames</span>(gene_meta)</a>
-<a class="sourceLine" id="cb753-4" data-line-number="4">cds <-<span class="st"> </span><span class="kw">new_cell_data_set</span>(<span class="dt">expression_data =</span> <span class="kw">counts</span>(deng_SCE),</a>
-<a class="sourceLine" id="cb753-5" data-line-number="5"> <span class="dt">cell_metadata =</span> <span class="kw">colData</span>(deng_SCE),</a>
-<a class="sourceLine" id="cb753-6" data-line-number="6"> <span class="dt">gene_metadata =</span> gene_meta)</a>
-<a class="sourceLine" id="cb753-7" data-line-number="7"></a>
-<a class="sourceLine" id="cb753-8" data-line-number="8"><span class="co">## Step 1: Normalize and pre-process the data</span></a>
-<a class="sourceLine" id="cb753-9" data-line-number="9">cds <-<span class="st"> </span><span class="kw">preprocess_cds</span>(cds,<span class="dt">num_dim =</span> <span class="dv">5</span>)</a>
-<a class="sourceLine" id="cb753-10" data-line-number="10"><span class="kw">plot_pc_variance_explained</span>(cds)</a></code></pre></div>
+<div class="sourceCode" id="cb523"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb523-1" data-line-number="1">gene_meta <-<span class="st"> </span><span class="kw">rowData</span>(deng_SCE)</a>
+<a class="sourceLine" id="cb523-2" data-line-number="2"><span class="co">#gene_metadata must contain a column verbatim named 'gene_short_name' for certain functions.</span></a>
+<a class="sourceLine" id="cb523-3" data-line-number="3">gene_meta<span class="op">$</span>gene_short_name <-<span class="st"> </span><span class="kw">rownames</span>(gene_meta)</a>
+<a class="sourceLine" id="cb523-4" data-line-number="4">cds <-<span class="st"> </span><span class="kw">new_cell_data_set</span>(<span class="dt">expression_data =</span> <span class="kw">counts</span>(deng_SCE),</a>
+<a class="sourceLine" id="cb523-5" data-line-number="5"> <span class="dt">cell_metadata =</span> <span class="kw">colData</span>(deng_SCE),</a>
+<a class="sourceLine" id="cb523-6" data-line-number="6"> <span class="dt">gene_metadata =</span> gene_meta)</a>
+<a class="sourceLine" id="cb523-7" data-line-number="7"></a>
+<a class="sourceLine" id="cb523-8" data-line-number="8"><span class="co">## Step 1: Normalize and pre-process the data</span></a>
+<a class="sourceLine" id="cb523-9" data-line-number="9">cds <-<span class="st"> </span><span class="kw">preprocess_cds</span>(cds,<span class="dt">num_dim =</span> <span class="dv">5</span>)</a>
+<a class="sourceLine" id="cb523-10" data-line-number="10"><span class="kw">plot_pc_variance_explained</span>(cds)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_monocle3-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb754"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb754-1" data-line-number="1"><span class="co">## Step 3: Reduce the dimensions using UMAP</span></a>
-<a class="sourceLine" id="cb754-2" data-line-number="2">cds <-<span class="st"> </span><span class="kw">reduce_dimension</span>(cds)</a></code></pre></div>
+<div class="sourceCode" id="cb524"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb524-1" data-line-number="1"><span class="co">## Step 3: Reduce the dimensions using UMAP</span></a>
+<a class="sourceLine" id="cb524-2" data-line-number="2">cds <-<span class="st"> </span><span class="kw">reduce_dimension</span>(cds)</a></code></pre></div>
<pre><code>## No preprocess_method specified, using preprocess_method = 'PCA'</code></pre>
-<div class="sourceCode" id="cb756"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb756-1" data-line-number="1"><span class="co">## Step 4: Cluster the cells</span></a>
-<a class="sourceLine" id="cb756-2" data-line-number="2">cds <-<span class="st"> </span><span class="kw">cluster_cells</span>(cds)</a>
-<a class="sourceLine" id="cb756-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb756-4" data-line-number="4"><span class="co">## change the clusters</span></a>
-<a class="sourceLine" id="cb756-5" data-line-number="5"></a>
-<a class="sourceLine" id="cb756-6" data-line-number="6"><span class="co">## cds@clusters$UMAP$clusters <- deng_SCE$cell_type2</span></a>
-<a class="sourceLine" id="cb756-7" data-line-number="7"></a>
-<a class="sourceLine" id="cb756-8" data-line-number="8"><span class="co">## Step 5: Learn a graph</span></a>
-<a class="sourceLine" id="cb756-9" data-line-number="9">cds <-<span class="st"> </span><span class="kw">learn_graph</span>(cds,<span class="dt">use_partition =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb756-10" data-line-number="10"></a>
-<a class="sourceLine" id="cb756-11" data-line-number="11"><span class="co">## Step 6: Order cells</span></a>
-<a class="sourceLine" id="cb756-12" data-line-number="12">cds <-<span class="st"> </span><span class="kw">order_cells</span>(cds, <span class="dt">root_cells =</span> <span class="kw">c</span>(<span class="st">"zy"</span>,<span class="st">"zy.1"</span>,<span class="st">"zy.2"</span>,<span class="st">"zy.3"</span>) )</a>
-<a class="sourceLine" id="cb756-13" data-line-number="13"></a>
-<a class="sourceLine" id="cb756-14" data-line-number="14"><span class="kw">plot_cells</span>(cds, <span class="dt">color_cells_by=</span><span class="st">"cell_type2"</span>, <span class="dt">graph_label_size =</span> <span class="dv">4</span>, <span class="dt">cell_size =</span> <span class="dv">2</span>,</a>
-<a class="sourceLine" id="cb756-15" data-line-number="15"> <span class="dt">group_label_size =</span> <span class="dv">6</span>)<span class="op">+</span><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) </a></code></pre></div>
+<div class="sourceCode" id="cb526"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb526-1" data-line-number="1"><span class="co">## Step 4: Cluster the cells</span></a>
+<a class="sourceLine" id="cb526-2" data-line-number="2">cds <-<span class="st"> </span><span class="kw">cluster_cells</span>(cds)</a>
+<a class="sourceLine" id="cb526-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb526-4" data-line-number="4"><span class="co">## change the clusters</span></a>
+<a class="sourceLine" id="cb526-5" data-line-number="5"></a>
+<a class="sourceLine" id="cb526-6" data-line-number="6"><span class="co">## cds@clusters$UMAP$clusters <- deng_SCE$cell_type2</span></a>
+<a class="sourceLine" id="cb526-7" data-line-number="7"></a>
+<a class="sourceLine" id="cb526-8" data-line-number="8"><span class="co">## Step 5: Learn a graph</span></a>
+<a class="sourceLine" id="cb526-9" data-line-number="9">cds <-<span class="st"> </span><span class="kw">learn_graph</span>(cds,<span class="dt">use_partition =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb526-10" data-line-number="10"></a>
+<a class="sourceLine" id="cb526-11" data-line-number="11"><span class="co">## Step 6: Order cells</span></a>
+<a class="sourceLine" id="cb526-12" data-line-number="12">cds <-<span class="st"> </span><span class="kw">order_cells</span>(cds, <span class="dt">root_cells =</span> <span class="kw">c</span>(<span class="st">"zy"</span>,<span class="st">"zy.1"</span>,<span class="st">"zy.2"</span>,<span class="st">"zy.3"</span>) )</a>
+<a class="sourceLine" id="cb526-13" data-line-number="13"></a>
+<a class="sourceLine" id="cb526-14" data-line-number="14"><span class="kw">plot_cells</span>(cds, <span class="dt">color_cells_by=</span><span class="st">"cell_type2"</span>, <span class="dt">graph_label_size =</span> <span class="dv">4</span>, <span class="dt">cell_size =</span> <span class="dv">2</span>,</a>
+<a class="sourceLine" id="cb526-15" data-line-number="15"> <span class="dt">group_label_size =</span> <span class="dv">6</span>)<span class="op">+</span><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) </a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_monocle3-2.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb757"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb757-1" data-line-number="1"><span class="kw">plot_cells</span>(cds, <span class="dt">graph_label_size =</span> <span class="dv">6</span>, <span class="dt">cell_size =</span> <span class="dv">1</span>, <span class="dt">color_cells_by=</span><span class="st">"pseudotime"</span>,</a>
-<a class="sourceLine" id="cb757-2" data-line-number="2"> <span class="dt">group_label_size =</span> <span class="dv">6</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb527"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb527-1" data-line-number="1"><span class="kw">plot_cells</span>(cds, <span class="dt">graph_label_size =</span> <span class="dv">6</span>, <span class="dt">cell_size =</span> <span class="dv">1</span>, <span class="dt">color_cells_by=</span><span class="st">"pseudotime"</span>,</a>
+<a class="sourceLine" id="cb527-2" data-line-number="2"> <span class="dt">group_label_size =</span> <span class="dv">6</span>)</a></code></pre></div>
<pre><code>## Cells aren't colored in a way that allows them to be grouped.</code></pre>
<p><img src="pseudotime_files/figure-html/run_monocle3-3.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb759"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb759-1" data-line-number="1">pdata_cds <-<span class="st"> </span><span class="kw">pData</span>(cds)</a>
-<a class="sourceLine" id="cb759-2" data-line-number="2">pdata_cds<span class="op">$</span>pseudotime_monocle3 <-<span class="st"> </span>monocle3<span class="op">::</span><span class="kw">pseudotime</span>(cds)</a>
-<a class="sourceLine" id="cb759-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb759-4" data-line-number="4"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(pdata_cds), </a>
-<a class="sourceLine" id="cb759-5" data-line-number="5"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_monocle3, </a>
-<a class="sourceLine" id="cb759-6" data-line-number="6"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb759-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb759-8" data-line-number="8"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb759-9" data-line-number="9"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"monocle3 pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb759-10" data-line-number="10"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by monocle3 pseudotime"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb529"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb529-1" data-line-number="1">pdata_cds <-<span class="st"> </span><span class="kw">pData</span>(cds)</a>
+<a class="sourceLine" id="cb529-2" data-line-number="2">pdata_cds<span class="op">$</span>pseudotime_monocle3 <-<span class="st"> </span>monocle3<span class="op">::</span><span class="kw">pseudotime</span>(cds)</a>
+<a class="sourceLine" id="cb529-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb529-4" data-line-number="4"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(pdata_cds), </a>
+<a class="sourceLine" id="cb529-5" data-line-number="5"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_monocle3, </a>
+<a class="sourceLine" id="cb529-6" data-line-number="6"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb529-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb529-8" data-line-number="8"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb529-9" data-line-number="9"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"monocle3 pseudotime"</span>) <span class="op">+</span><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb529-10" data-line-number="10"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by monocle3 pseudotime"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/run_monocle3-4.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb760"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb760-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_monocle3 <-<span class="st"> </span>pdata_cds<span class="op">$</span>pseudotime_monocle3</a></code></pre></div>
+<div class="sourceCode" id="cb530"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb530-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_monocle3 <-<span class="st"> </span>pdata_cds<span class="op">$</span>pseudotime_monocle3</a></code></pre></div>
<p>It did not work well for our small Smart-seq2 dataset.</p>
</div>
<div id="diffusion-maps" class="section level3">
-<h3><span class="header-section-number">11.1.7</span> Diffusion maps</h3>
+<h3><span class="header-section-number">11.4.3</span> Diffusion maps</h3>
<p><a href="https://en.wikipedia.org/wiki/Diffusion_map">Diffusion maps</a> were introduced by <a href="http://www.sciencedirect.com/science/article/pii/S1063520306000546">Ronald Coifman and Stephane Lafon</a><span class="citation">(Coifman and Lafon <a href="#ref-Coifman2006-oa">2006</a>)</span>, and the underlying idea is to assume that the data are samples from a diffusion process. The method infers the low-dimensional manifold by estimating the eigenvalues and eigenvectors for the diffusion operator related to the data.</p>
<p><a href="https://academic.oup.com/bioinformatics/article/32/8/1241/1744143">Angerer et al</a><span class="citation">(Angerer et al. <a href="#ref-Angerer2016-rn">2016</a>)</span> have applied the diffusion maps concept to the analysis of single-cell RNA-seq data to create an R package called <a href="http://bioconductor.org/packages/destiny">destiny</a>.</p>
<p>We will take the ranko prder of cells in the first diffusion map component as “diffusion map pseudotime†here.</p>
-<div class="sourceCode" id="cb761"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb761-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">logcounts</span>(deng_SCE)</a>
-<a class="sourceLine" id="cb761-2" data-line-number="2"><span class="kw">colnames</span>(deng) <-<span class="st"> </span>cellLabels</a>
-<a class="sourceLine" id="cb761-3" data-line-number="3">dm <-<span class="st"> </span><span class="kw">DiffusionMap</span>(<span class="kw">t</span>(deng))</a>
-<a class="sourceLine" id="cb761-4" data-line-number="4"></a>
-<a class="sourceLine" id="cb761-5" data-line-number="5">tmp <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">DC1 =</span> <span class="kw">eigenvectors</span>(dm)[,<span class="dv">1</span>],</a>
-<a class="sourceLine" id="cb761-6" data-line-number="6"> <span class="dt">DC2 =</span> <span class="kw">eigenvectors</span>(dm)[,<span class="dv">2</span>],</a>
-<a class="sourceLine" id="cb761-7" data-line-number="7"> <span class="dt">Timepoint =</span> deng_SCE<span class="op">$</span>cell_type2)</a>
-<a class="sourceLine" id="cb761-8" data-line-number="8"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> DC1, <span class="dt">y =</span> DC2, <span class="dt">colour =</span> Timepoint)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb761-9" data-line-number="9"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span></a>
-<a class="sourceLine" id="cb761-10" data-line-number="10"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Diffusion component 1"</span>) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb761-11" data-line-number="11"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Diffusion component 2"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb761-12" data-line-number="12"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb531"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb531-1" data-line-number="1">deng <-<span class="st"> </span><span class="kw">logcounts</span>(deng_SCE)</a>
+<a class="sourceLine" id="cb531-2" data-line-number="2"><span class="kw">colnames</span>(deng) <-<span class="st"> </span>cellLabels</a>
+<a class="sourceLine" id="cb531-3" data-line-number="3">dm <-<span class="st"> </span><span class="kw">DiffusionMap</span>(<span class="kw">t</span>(deng))</a>
+<a class="sourceLine" id="cb531-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb531-5" data-line-number="5">tmp <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">DC1 =</span> <span class="kw">eigenvectors</span>(dm)[,<span class="dv">1</span>],</a>
+<a class="sourceLine" id="cb531-6" data-line-number="6"> <span class="dt">DC2 =</span> <span class="kw">eigenvectors</span>(dm)[,<span class="dv">2</span>],</a>
+<a class="sourceLine" id="cb531-7" data-line-number="7"> <span class="dt">Timepoint =</span> deng_SCE<span class="op">$</span>cell_type2)</a>
+<a class="sourceLine" id="cb531-8" data-line-number="8"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> DC1, <span class="dt">y =</span> DC2, <span class="dt">colour =</span> Timepoint)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb531-9" data-line-number="9"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span></a>
+<a class="sourceLine" id="cb531-10" data-line-number="10"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Diffusion component 1"</span>) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb531-11" data-line-number="11"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Diffusion component 2"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb531-12" data-line-number="12"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/destiny-deng-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb762"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb762-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_diffusionmap <-<span class="st"> </span><span class="kw">rank</span>(<span class="kw">eigenvectors</span>(dm)[,<span class="dv">1</span>])</a>
-<a class="sourceLine" id="cb762-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb762-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
-<a class="sourceLine" id="cb762-4" data-line-number="4"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_diffusionmap, </a>
-<a class="sourceLine" id="cb762-5" data-line-number="5"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb762-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb762-7" data-line-number="7"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb762-8" data-line-number="8"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Diffusion map pseudotime (first diffusion map component)"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb762-9" data-line-number="9"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb762-10" data-line-number="10"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by diffusion map pseudotime"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb532"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb532-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_diffusionmap <-<span class="st"> </span><span class="kw">rank</span>(<span class="kw">eigenvectors</span>(dm)[,<span class="dv">1</span>])</a>
+<a class="sourceLine" id="cb532-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb532-3" data-line-number="3"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
+<a class="sourceLine" id="cb532-4" data-line-number="4"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_diffusionmap, </a>
+<a class="sourceLine" id="cb532-5" data-line-number="5"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb532-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb532-7" data-line-number="7"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb532-8" data-line-number="8"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Diffusion map pseudotime (first diffusion map component)"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb532-9" data-line-number="9"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb532-10" data-line-number="10"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Cells ordered by diffusion map pseudotime"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/destiny-deng-2.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Like the other methods, using the first diffusion map component from destiny as pseudotime does a good job at ordering the early time-points (if we take high values as “earlier†in developement), but it is unable to distinguish the later ones.</p>
<p><strong>Exercise 2</strong> Do you get a better resolution between the later time points by considering additional eigenvectors?</p>
<p><strong>Exercise 3</strong> How does the ordering change if you only use the genes identified by M3Drop?</p>
</div>
-<div id="other-methods" class="section level3">
-<h3><span class="header-section-number">11.1.8</span> Other methods</h3>
-<div id="slicer" class="section level4">
-<h4><span class="header-section-number">11.1.8.1</span> SLICER</h4>
+</div>
+<div id="other-methods" class="section level2">
+<h2><span class="header-section-number">11.5</span> Other methods</h2>
+<div id="slicer" class="section level3">
+<h3><span class="header-section-number">11.5.1</span> SLICER</h3>
<p>The SLICER<span class="citation">(Welch, Hartemink, and Prins <a href="#ref-Welch2016-jr">2016</a>)</span> method is an algorithm for constructing trajectories that
describe gene expression changes during a sequential biological
process, just as Monocle and TSCAN are. SLICER is designed to capture
@@ -940,9 +947,9 @@ than fluctuating randomly, across the set of cells. Following this, we
determine which value of “k†(number of nearest neighbours) yields an embedding that
most resembles a trajectory. Then we estimate the <a href="https://en.wikipedia.org/wiki/Nonlinear_dimensionality_reduction">locally linear
embedding</a> of the cells.</p>
-<div class="sourceCode" id="cb763"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb763-1" data-line-number="1"><span class="kw">library</span>(<span class="st">"lle"</span>)</a>
-<a class="sourceLine" id="cb763-2" data-line-number="2">slicer_genes <-<span class="st"> </span><span class="kw">select_genes</span>(<span class="kw">t</span>(deng))</a>
-<a class="sourceLine" id="cb763-3" data-line-number="3">k <-<span class="st"> </span><span class="kw">select_k</span>(<span class="kw">t</span>(deng[slicer_genes,]), <span class="dt">kmin =</span> <span class="dv">30</span>, <span class="dt">kmax=</span><span class="dv">60</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb533"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb533-1" data-line-number="1"><span class="kw">library</span>(<span class="st">"lle"</span>)</a>
+<a class="sourceLine" id="cb533-2" data-line-number="2">slicer_genes <-<span class="st"> </span><span class="kw">select_genes</span>(<span class="kw">t</span>(deng))</a>
+<a class="sourceLine" id="cb533-3" data-line-number="3">k <-<span class="st"> </span><span class="kw">select_k</span>(<span class="kw">t</span>(deng[slicer_genes,]), <span class="dt">kmin =</span> <span class="dv">30</span>, <span class="dt">kmax=</span><span class="dv">60</span>)</a></code></pre></div>
<pre><code>## finding neighbours
## calculating weights
## computing coordinates
@@ -964,22 +971,22 @@ embedding</a> of the cells.</p>
## finding neighbours
## calculating weights
## computing coordinates</code></pre>
-<div class="sourceCode" id="cb765"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb765-1" data-line-number="1">slicer_traj_lle <-<span class="st"> </span><span class="kw">lle</span>(<span class="kw">t</span>(deng[slicer_genes,]), <span class="dt">m =</span> <span class="dv">2</span>, k)<span class="op">$</span>Y</a></code></pre></div>
+<div class="sourceCode" id="cb535"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb535-1" data-line-number="1">slicer_traj_lle <-<span class="st"> </span><span class="kw">lle</span>(<span class="kw">t</span>(deng[slicer_genes,]), <span class="dt">m =</span> <span class="dv">2</span>, k)<span class="op">$</span>Y</a></code></pre></div>
<pre><code>## finding neighbours
## calculating weights
## computing coordinates</code></pre>
-<div class="sourceCode" id="cb767"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb767-1" data-line-number="1"><span class="kw">reducedDim</span>(deng_SCE, <span class="st">"LLE"</span>) <-<span class="st"> </span>slicer_traj_lle</a>
-<a class="sourceLine" id="cb767-2" data-line-number="2"></a>
-<a class="sourceLine" id="cb767-3" data-line-number="3">plot_df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">slicer1 =</span> <span class="kw">reducedDim</span>(deng_SCE, <span class="st">"LLE"</span>)[,<span class="dv">1</span>],</a>
-<a class="sourceLine" id="cb767-4" data-line-number="4"> <span class="dt">slicer2 =</span> <span class="kw">reducedDim</span>(deng_SCE, <span class="st">"LLE"</span>)[,<span class="dv">2</span>],</a>
-<a class="sourceLine" id="cb767-5" data-line-number="5"> <span class="dt">cell_type2 =</span> deng_SCE<span class="op">$</span>cell_type2)</a>
-<a class="sourceLine" id="cb767-6" data-line-number="6"><span class="kw">ggplot</span>(<span class="dt">data =</span> plot_df)<span class="op">+</span><span class="kw">geom_point</span>(<span class="dt">mapping =</span> <span class="kw">aes</span>(<span class="dt">x =</span> slicer1, </a>
-<a class="sourceLine" id="cb767-7" data-line-number="7"> <span class="dt">y =</span> slicer2, </a>
-<a class="sourceLine" id="cb767-8" data-line-number="8"> <span class="dt">color =</span> cell_type2))<span class="op">+</span></a>
-<a class="sourceLine" id="cb767-9" data-line-number="9"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color)<span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"LLE component 1"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb767-10" data-line-number="10"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"LLE component 2"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb767-11" data-line-number="11"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Locally linear embedding of cells from SLICER"</span>)<span class="op">+</span></a>
-<a class="sourceLine" id="cb767-12" data-line-number="12"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb537"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb537-1" data-line-number="1"><span class="kw">reducedDim</span>(deng_SCE, <span class="st">"LLE"</span>) <-<span class="st"> </span>slicer_traj_lle</a>
+<a class="sourceLine" id="cb537-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb537-3" data-line-number="3">plot_df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">slicer1 =</span> <span class="kw">reducedDim</span>(deng_SCE, <span class="st">"LLE"</span>)[,<span class="dv">1</span>],</a>
+<a class="sourceLine" id="cb537-4" data-line-number="4"> <span class="dt">slicer2 =</span> <span class="kw">reducedDim</span>(deng_SCE, <span class="st">"LLE"</span>)[,<span class="dv">2</span>],</a>
+<a class="sourceLine" id="cb537-5" data-line-number="5"> <span class="dt">cell_type2 =</span> deng_SCE<span class="op">$</span>cell_type2)</a>
+<a class="sourceLine" id="cb537-6" data-line-number="6"><span class="kw">ggplot</span>(<span class="dt">data =</span> plot_df)<span class="op">+</span><span class="kw">geom_point</span>(<span class="dt">mapping =</span> <span class="kw">aes</span>(<span class="dt">x =</span> slicer1, </a>
+<a class="sourceLine" id="cb537-7" data-line-number="7"> <span class="dt">y =</span> slicer2, </a>
+<a class="sourceLine" id="cb537-8" data-line-number="8"> <span class="dt">color =</span> cell_type2))<span class="op">+</span></a>
+<a class="sourceLine" id="cb537-9" data-line-number="9"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color)<span class="op">+</span><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"LLE component 1"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb537-10" data-line-number="10"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"LLE component 2"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb537-11" data-line-number="11"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Locally linear embedding of cells from SLICER"</span>)<span class="op">+</span></a>
+<a class="sourceLine" id="cb537-12" data-line-number="12"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/slicer-analyis-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>With the locally linear embedding computed we can construct a
k-nearest neighbour graph that is fully connected. This plot displays
@@ -987,38 +994,38 @@ a (yellow) circle for each cell, with the cell ID number overlaid in
blue. Here we show the graph computed using 10 nearest
neighbours. Here, SLICER appears to detect one major trajectory with
one branch.</p>
-<div class="sourceCode" id="cb768"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb768-1" data-line-number="1">slicer_traj_graph <-<span class="st"> </span><span class="kw">conn_knn_graph</span>(slicer_traj_lle, <span class="dv">10</span>)</a>
-<a class="sourceLine" id="cb768-2" data-line-number="2"><span class="kw">plot</span>(slicer_traj_graph, <span class="dt">main =</span> <span class="st">"Fully connected kNN graph from SLICER"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb538"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb538-1" data-line-number="1">slicer_traj_graph <-<span class="st"> </span><span class="kw">conn_knn_graph</span>(slicer_traj_lle, <span class="dv">10</span>)</a>
+<a class="sourceLine" id="cb538-2" data-line-number="2"><span class="kw">plot</span>(slicer_traj_graph, <span class="dt">main =</span> <span class="st">"Fully connected kNN graph from SLICER"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/slicer-build-graph-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>From this graph we can identify “extreme†cells that are candidates
for start/end cells in the trajectory.</p>
-<div class="sourceCode" id="cb769"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb769-1" data-line-number="1">ends <-<span class="st"> </span><span class="kw">find_extreme_cells</span>(slicer_traj_graph, slicer_traj_lle)</a></code></pre></div>
+<div class="sourceCode" id="cb539"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb539-1" data-line-number="1">ends <-<span class="st"> </span><span class="kw">find_extreme_cells</span>(slicer_traj_graph, slicer_traj_lle)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/slicer-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb770"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb770-1" data-line-number="1">start <-<span class="st"> </span>ends[<span class="dv">1</span>]</a></code></pre></div>
+<div class="sourceCode" id="cb540"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb540-1" data-line-number="1">start <-<span class="st"> </span>ends[<span class="dv">1</span>]</a></code></pre></div>
<p>Having defined a start cell we can order the cells in the estimated pseudotime.</p>
-<div class="sourceCode" id="cb771"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb771-1" data-line-number="1">pseudotime_order_slicer <-<span class="st"> </span><span class="kw">cell_order</span>(slicer_traj_graph, start)</a>
-<a class="sourceLine" id="cb771-2" data-line-number="2">branches <-<span class="st"> </span><span class="kw">assign_branches</span>(slicer_traj_graph, start)</a>
-<a class="sourceLine" id="cb771-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb771-4" data-line-number="4">pseudotime_slicer <-</a>
-<a class="sourceLine" id="cb771-5" data-line-number="5"><span class="st"> </span><span class="kw">data.frame</span>(</a>
-<a class="sourceLine" id="cb771-6" data-line-number="6"> <span class="dt">Timepoint =</span> cellLabels,</a>
-<a class="sourceLine" id="cb771-7" data-line-number="7"> <span class="dt">pseudotime =</span> <span class="ot">NA</span>,</a>
-<a class="sourceLine" id="cb771-8" data-line-number="8"> <span class="dt">State =</span> branches</a>
-<a class="sourceLine" id="cb771-9" data-line-number="9"> )</a>
-<a class="sourceLine" id="cb771-10" data-line-number="10">pseudotime_slicer<span class="op">$</span>pseudotime[pseudotime_order_slicer] <-</a>
-<a class="sourceLine" id="cb771-11" data-line-number="11"><span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(pseudotime_order_slicer)</a>
-<a class="sourceLine" id="cb771-12" data-line-number="12">deng_SCE<span class="op">$</span>pseudotime_slicer <-<span class="st"> </span>pseudotime_slicer<span class="op">$</span>pseudotime</a></code></pre></div>
+<div class="sourceCode" id="cb541"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb541-1" data-line-number="1">pseudotime_order_slicer <-<span class="st"> </span><span class="kw">cell_order</span>(slicer_traj_graph, start)</a>
+<a class="sourceLine" id="cb541-2" data-line-number="2">branches <-<span class="st"> </span><span class="kw">assign_branches</span>(slicer_traj_graph, start)</a>
+<a class="sourceLine" id="cb541-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb541-4" data-line-number="4">pseudotime_slicer <-</a>
+<a class="sourceLine" id="cb541-5" data-line-number="5"><span class="st"> </span><span class="kw">data.frame</span>(</a>
+<a class="sourceLine" id="cb541-6" data-line-number="6"> <span class="dt">Timepoint =</span> cellLabels,</a>
+<a class="sourceLine" id="cb541-7" data-line-number="7"> <span class="dt">pseudotime =</span> <span class="ot">NA</span>,</a>
+<a class="sourceLine" id="cb541-8" data-line-number="8"> <span class="dt">State =</span> branches</a>
+<a class="sourceLine" id="cb541-9" data-line-number="9"> )</a>
+<a class="sourceLine" id="cb541-10" data-line-number="10">pseudotime_slicer<span class="op">$</span>pseudotime[pseudotime_order_slicer] <-</a>
+<a class="sourceLine" id="cb541-11" data-line-number="11"><span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(pseudotime_order_slicer)</a>
+<a class="sourceLine" id="cb541-12" data-line-number="12">deng_SCE<span class="op">$</span>pseudotime_slicer <-<span class="st"> </span>pseudotime_slicer<span class="op">$</span>pseudotime</a></code></pre></div>
<p>We can again compare the inferred pseudotime to the known sampling
timepoints. SLICER does not provide a pseudotime value per se, just an
ordering of cells.</p>
-<div class="sourceCode" id="cb772"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb772-1" data-line-number="1"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
-<a class="sourceLine" id="cb772-2" data-line-number="2"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_slicer, </a>
-<a class="sourceLine" id="cb772-3" data-line-number="3"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb772-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb772-5" data-line-number="5"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb772-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"SLICER pseudotime (cell ordering)"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb772-7" data-line-number="7"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb772-8" data-line-number="8"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb542"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb542-1" data-line-number="1"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
+<a class="sourceLine" id="cb542-2" data-line-number="2"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_slicer, </a>
+<a class="sourceLine" id="cb542-3" data-line-number="3"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb542-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb542-5" data-line-number="5"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb542-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"SLICER pseudotime (cell ordering)"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb542-7" data-line-number="7"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb542-8" data-line-number="8"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/slicer-vs-truth-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Like the previous method, SLICER <span class="citation">(Welch, Hartemink, and Prins <a href="#ref-Welch2016-jr">2016</a>)</span> here provides a good ordering for the
early time points. It places “16cell†cells before “8cell†cells, but provides better ordering for blast cells than many of the earlier methods.</p>
@@ -1027,8 +1034,8 @@ the call to <code>conn_knn_graph</code>?</p>
<p><strong>Exercise 5</strong> How does the ordering change if you use a different set
of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)?</p>
</div>
-<div id="ouija" class="section level4">
-<h4><span class="header-section-number">11.1.8.2</span> Ouija</h4>
+<div id="ouija" class="section level3">
+<h3><span class="header-section-number">11.5.2</span> Ouija</h3>
<p>Ouija (<a href="http://kieranrcampbell.github.io/ouija/" class="uri">http://kieranrcampbell.github.io/ouija/</a>) takes a different approach from the pseudotime estimation methods we have looked at so far. Earlier methods have all been “unsupervisedâ€, which is to say that apart from perhaps selecting informative genes we do not supply the method with any prior information about how we expect certain genes or the trajectory as a whole to behave.</p>
<p>Ouija, in contrast, is a probabilistic framework that allows for interpretable learning of single-cell pseudotimes using only small panels of marker genes. This method:</p>
<ul>
@@ -1045,15 +1052,15 @@ of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)?</p>
</ul>
<p>With Ouija we can model genes as either exhibiting monotonic up or down regulation (known as switch-like behaviour), or transient behaviour where the gene briefly peaks. By default, Ouija assumes all genes exhibit switch-like behaviour (the authors assure us not to worry if we get it wrong - the noise model means incorrectly specifying a transient gene as switch-like has minimal effect).</p>
<p>Here we can “cheat†a little and check that our selected marker genes do actually identify different timepoints of the differentiation process.</p>
-<div class="sourceCode" id="cb773"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb773-1" data-line-number="1">ouija_markers_down <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Dazl"</span>, <span class="st">"Rnf17"</span>, <span class="st">"Sycp3"</span>, <span class="st">"Fgf8"</span>, </a>
-<a class="sourceLine" id="cb773-2" data-line-number="2"> <span class="st">"Egfr"</span>, <span class="st">"Bmp5"</span>, <span class="st">"Bmp15"</span>, <span class="st">"Pou5f1"</span>)</a>
-<a class="sourceLine" id="cb773-3" data-line-number="3">ouija_markers_up <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Creb3"</span>, <span class="st">"Gpx4"</span>, <span class="st">"Krt8"</span>, <span class="st">"Elf5"</span>, <span class="st">"Cdx2"</span>, </a>
-<a class="sourceLine" id="cb773-4" data-line-number="4"> <span class="st">"Tdgf1"</span>, <span class="st">"Gdf3"</span>, <span class="st">"Eomes"</span>)</a>
-<a class="sourceLine" id="cb773-5" data-line-number="5">ouija_markers_transient <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Zscan4b"</span>, <span class="st">"Foxa1"</span>, <span class="st">"Prdm14"</span>, <span class="st">"Sox21"</span>)</a>
-<a class="sourceLine" id="cb773-6" data-line-number="6">ouija_markers <-<span class="st"> </span><span class="kw">c</span>(ouija_markers_down, ouija_markers_up, </a>
-<a class="sourceLine" id="cb773-7" data-line-number="7"> ouija_markers_transient)</a>
-<a class="sourceLine" id="cb773-8" data-line-number="8"><span class="kw">plotExpression</span>(deng_SCE, ouija_markers, <span class="dt">x =</span> <span class="st">"cell_type2"</span>, <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb773-9" data-line-number="9"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(<span class="dt">angle =</span> <span class="dv">60</span>, <span class="dt">hjust =</span> <span class="dv">1</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb543"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb543-1" data-line-number="1">ouija_markers_down <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Dazl"</span>, <span class="st">"Rnf17"</span>, <span class="st">"Sycp3"</span>, <span class="st">"Fgf8"</span>, </a>
+<a class="sourceLine" id="cb543-2" data-line-number="2"> <span class="st">"Egfr"</span>, <span class="st">"Bmp5"</span>, <span class="st">"Bmp15"</span>, <span class="st">"Pou5f1"</span>)</a>
+<a class="sourceLine" id="cb543-3" data-line-number="3">ouija_markers_up <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Creb3"</span>, <span class="st">"Gpx4"</span>, <span class="st">"Krt8"</span>, <span class="st">"Elf5"</span>, <span class="st">"Cdx2"</span>, </a>
+<a class="sourceLine" id="cb543-4" data-line-number="4"> <span class="st">"Tdgf1"</span>, <span class="st">"Gdf3"</span>, <span class="st">"Eomes"</span>)</a>
+<a class="sourceLine" id="cb543-5" data-line-number="5">ouija_markers_transient <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Zscan4b"</span>, <span class="st">"Foxa1"</span>, <span class="st">"Prdm14"</span>, <span class="st">"Sox21"</span>)</a>
+<a class="sourceLine" id="cb543-6" data-line-number="6">ouija_markers <-<span class="st"> </span><span class="kw">c</span>(ouija_markers_down, ouija_markers_up, </a>
+<a class="sourceLine" id="cb543-7" data-line-number="7"> ouija_markers_transient)</a>
+<a class="sourceLine" id="cb543-8" data-line-number="8"><span class="kw">plotExpression</span>(deng_SCE, ouija_markers, <span class="dt">x =</span> <span class="st">"cell_type2"</span>, <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb543-9" data-line-number="9"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(<span class="dt">angle =</span> <span class="dv">60</span>, <span class="dt">hjust =</span> <span class="dv">1</span>))</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-response-type-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>In order to fit the pseudotimes wesimply call <code>ouija</code>, passing in the expected response types. Note that if no response types are provided then they are all assumed to be switch-like by default, which we will do here. The input to Ouija can be a cell-by-gene matrix of non-negative expression values, or an ExpressionSet object, or, happily, by selecting the <code>logcounts</code> values from a SingleCellExperiment object.</p>
<p>We can apply prior information about whether genes are up- or down-regulated across the differentiation process, and also provide prior information about when the switch in expression or a peak in expression is likely to occur.</p>
@@ -1064,75 +1071,75 @@ of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)?</p>
</ul>
<p>In general, HMC will provide more accurate inference with approximately correct posterior variance for all parameters. However, VB is orders of magnitude quicker than HMC and while it may underestimate posterior variance, the Ouija authors suggest that anecdotally it often performs as well as HMC for discovering posterior pseudotimes.</p>
<p>To help the Ouija model, we provide it with prior information about the strength of switches for up- and down-regulated genes. By setting switch strength to -10 for down-regulated genes and 10 for up-regulated genes with a prior strength standard deviation of 0.5 we are telling the model that we are confident about the expected behaviour of these genes across the differentiation process.</p>
-<div class="sourceCode" id="cb774"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb774-1" data-line-number="1"><span class="kw">options</span>(<span class="dt">mc.cores =</span> parallel<span class="op">::</span><span class="kw">detectCores</span>())</a>
-<a class="sourceLine" id="cb774-2" data-line-number="2">response_type <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">rep</span>(<span class="st">"switch"</span>, <span class="kw">length</span>(ouija_markers_down) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb774-3" data-line-number="3"><span class="st"> </span><span class="kw">length</span>(ouija_markers_up)), </a>
-<a class="sourceLine" id="cb774-4" data-line-number="4"> <span class="kw">rep</span>(<span class="st">"transient"</span>, <span class="kw">length</span>(ouija_markers_transient)))</a>
-<a class="sourceLine" id="cb774-5" data-line-number="5">switch_strengths <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">rep</span>(<span class="op">-</span><span class="dv">10</span>, <span class="kw">length</span>(ouija_markers_down)),</a>
-<a class="sourceLine" id="cb774-6" data-line-number="6"> <span class="kw">rep</span>(<span class="dv">10</span>, <span class="kw">length</span>(ouija_markers_up)))</a>
-<a class="sourceLine" id="cb774-7" data-line-number="7">switch_strength_sd <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">rep</span>(<span class="fl">0.5</span>, <span class="kw">length</span>(ouija_markers_down)),</a>
-<a class="sourceLine" id="cb774-8" data-line-number="8"> <span class="kw">rep</span>(<span class="fl">0.5</span>, <span class="kw">length</span>(ouija_markers_up)))</a>
-<a class="sourceLine" id="cb774-9" data-line-number="9">garbage <-<span class="st"> </span><span class="kw">capture.output</span>(</a>
-<a class="sourceLine" id="cb774-10" data-line-number="10"> oui_vb <-<span class="st"> </span><span class="kw">ouija</span>(deng_SCE[ouija_markers,],</a>
-<a class="sourceLine" id="cb774-11" data-line-number="11"> <span class="dt">single_cell_experiment_assay =</span> <span class="st">"logcounts"</span>, </a>
-<a class="sourceLine" id="cb774-12" data-line-number="12"> <span class="dt">response_type =</span> response_type,</a>
-<a class="sourceLine" id="cb774-13" data-line-number="13"> <span class="dt">switch_strengths =</span> switch_strengths,</a>
-<a class="sourceLine" id="cb774-14" data-line-number="14"> <span class="dt">switch_strength_sd =</span> switch_strength_sd,</a>
-<a class="sourceLine" id="cb774-15" data-line-number="15"> <span class="dt">inference_type =</span> <span class="st">"vb"</span>)</a>
-<a class="sourceLine" id="cb774-16" data-line-number="16">)</a>
-<a class="sourceLine" id="cb774-17" data-line-number="17"></a>
-<a class="sourceLine" id="cb774-18" data-line-number="18"><span class="kw">print</span>(oui_vb)</a></code></pre></div>
+<div class="sourceCode" id="cb544"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb544-1" data-line-number="1"><span class="kw">options</span>(<span class="dt">mc.cores =</span> parallel<span class="op">::</span><span class="kw">detectCores</span>())</a>
+<a class="sourceLine" id="cb544-2" data-line-number="2">response_type <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">rep</span>(<span class="st">"switch"</span>, <span class="kw">length</span>(ouija_markers_down) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb544-3" data-line-number="3"><span class="st"> </span><span class="kw">length</span>(ouija_markers_up)), </a>
+<a class="sourceLine" id="cb544-4" data-line-number="4"> <span class="kw">rep</span>(<span class="st">"transient"</span>, <span class="kw">length</span>(ouija_markers_transient)))</a>
+<a class="sourceLine" id="cb544-5" data-line-number="5">switch_strengths <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">rep</span>(<span class="op">-</span><span class="dv">10</span>, <span class="kw">length</span>(ouija_markers_down)),</a>
+<a class="sourceLine" id="cb544-6" data-line-number="6"> <span class="kw">rep</span>(<span class="dv">10</span>, <span class="kw">length</span>(ouija_markers_up)))</a>
+<a class="sourceLine" id="cb544-7" data-line-number="7">switch_strength_sd <-<span class="st"> </span><span class="kw">c</span>(<span class="kw">rep</span>(<span class="fl">0.5</span>, <span class="kw">length</span>(ouija_markers_down)),</a>
+<a class="sourceLine" id="cb544-8" data-line-number="8"> <span class="kw">rep</span>(<span class="fl">0.5</span>, <span class="kw">length</span>(ouija_markers_up)))</a>
+<a class="sourceLine" id="cb544-9" data-line-number="9">garbage <-<span class="st"> </span><span class="kw">capture.output</span>(</a>
+<a class="sourceLine" id="cb544-10" data-line-number="10"> oui_vb <-<span class="st"> </span><span class="kw">ouija</span>(deng_SCE[ouija_markers,],</a>
+<a class="sourceLine" id="cb544-11" data-line-number="11"> <span class="dt">single_cell_experiment_assay =</span> <span class="st">"logcounts"</span>, </a>
+<a class="sourceLine" id="cb544-12" data-line-number="12"> <span class="dt">response_type =</span> response_type,</a>
+<a class="sourceLine" id="cb544-13" data-line-number="13"> <span class="dt">switch_strengths =</span> switch_strengths,</a>
+<a class="sourceLine" id="cb544-14" data-line-number="14"> <span class="dt">switch_strength_sd =</span> switch_strength_sd,</a>
+<a class="sourceLine" id="cb544-15" data-line-number="15"> <span class="dt">inference_type =</span> <span class="st">"vb"</span>)</a>
+<a class="sourceLine" id="cb544-16" data-line-number="16">)</a>
+<a class="sourceLine" id="cb544-17" data-line-number="17"></a>
+<a class="sourceLine" id="cb544-18" data-line-number="18"><span class="kw">print</span>(oui_vb)</a></code></pre></div>
<pre><code>## A Ouija fit with 268 cells and 20 marker genes
## Inference type: Variational Bayes
## (Gene behaviour) Switch/transient: 16 / 4</code></pre>
<p>We can plot the gene expression over pseudotime along with the maximum a posteriori (MAP) estimates of the mean function (the sigmoid or Gaussian transient function) using the plot_expression function.</p>
-<div class="sourceCode" id="cb776"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb776-1" data-line-number="1"><span class="kw">plot_expression</span>(oui_vb)</a></code></pre></div>
+<div class="sourceCode" id="cb546"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb546-1" data-line-number="1"><span class="kw">plot_expression</span>(oui_vb)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-plot-exprs-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>We can also visualise when in the trajectory gene regulation behaviour occurs, either in the form of the switch time or the peak time (for switch-like or transient genes) using the plot_switch_times and plot_transient_times functions:</p>
-<div class="sourceCode" id="cb777"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb777-1" data-line-number="1"><span class="kw">plot_switch_times</span>(oui_vb)</a></code></pre></div>
+<div class="sourceCode" id="cb547"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb547-1" data-line-number="1"><span class="kw">plot_switch_times</span>(oui_vb)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-plot-switch-times-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb778"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb778-1" data-line-number="1"><span class="kw">plot_peak_times</span>(oui_vb)</a></code></pre></div>
+<div class="sourceCode" id="cb548"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb548-1" data-line-number="1"><span class="kw">plot_peak_times</span>(oui_vb)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-plot-switch-times-2.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Identify metastable states using consistency matrices.</p>
-<div class="sourceCode" id="cb779"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb779-1" data-line-number="1">cmo <-<span class="st"> </span><span class="kw">consistency_matrix</span>(oui_vb)</a>
-<a class="sourceLine" id="cb779-2" data-line-number="2"><span class="kw">plot_consistency</span>(oui_vb)</a></code></pre></div>
+<div class="sourceCode" id="cb549"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb549-1" data-line-number="1">cmo <-<span class="st"> </span><span class="kw">consistency_matrix</span>(oui_vb)</a>
+<a class="sourceLine" id="cb549-2" data-line-number="2"><span class="kw">plot_consistency</span>(oui_vb)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-consistency-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb780"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb780-1" data-line-number="1">cell_classifications <-<span class="st"> </span><span class="kw">cluster_consistency</span>(cmo)</a></code></pre></div>
-<div class="sourceCode" id="cb781"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb781-1" data-line-number="1">map_pst <-<span class="st"> </span><span class="kw">map_pseudotime</span>(oui_vb)</a>
-<a class="sourceLine" id="cb781-2" data-line-number="2">ouija_pseudotime <-<span class="st"> </span><span class="kw">data.frame</span>(map_pst, cell_classifications)</a>
-<a class="sourceLine" id="cb781-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb781-4" data-line-number="4"><span class="kw">ggplot</span>(ouija_pseudotime, <span class="kw">aes</span>(<span class="dt">x =</span> map_pst, <span class="dt">y =</span> cell_classifications)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb781-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb781-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"MAP pseudotime"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb781-7" data-line-number="7"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Cell classification"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb550"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb550-1" data-line-number="1">cell_classifications <-<span class="st"> </span><span class="kw">cluster_consistency</span>(cmo)</a></code></pre></div>
+<div class="sourceCode" id="cb551"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb551-1" data-line-number="1">map_pst <-<span class="st"> </span><span class="kw">map_pseudotime</span>(oui_vb)</a>
+<a class="sourceLine" id="cb551-2" data-line-number="2">ouija_pseudotime <-<span class="st"> </span><span class="kw">data.frame</span>(map_pst, cell_classifications)</a>
+<a class="sourceLine" id="cb551-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb551-4" data-line-number="4"><span class="kw">ggplot</span>(ouija_pseudotime, <span class="kw">aes</span>(<span class="dt">x =</span> map_pst, <span class="dt">y =</span> cell_classifications)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb551-5" data-line-number="5"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb551-6" data-line-number="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"MAP pseudotime"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb551-7" data-line-number="7"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Cell classification"</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-pseudotime-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<div class="sourceCode" id="cb782"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb782-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_ouija <-<span class="st"> </span>ouija_pseudotime<span class="op">$</span>map_pst</a>
-<a class="sourceLine" id="cb782-2" data-line-number="2">deng_SCE<span class="op">$</span>ouija_cell_class <-<span class="st"> </span>ouija_pseudotime<span class="op">$</span>cell_classifications</a>
-<a class="sourceLine" id="cb782-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb782-4" data-line-number="4"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
-<a class="sourceLine" id="cb782-5" data-line-number="5"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_ouija, </a>
-<a class="sourceLine" id="cb782-6" data-line-number="6"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb782-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb782-8" data-line-number="8"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb782-9" data-line-number="9"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Ouija pseudotime"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb782-10" data-line-number="10"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb782-11" data-line-number="11"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb552"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb552-1" data-line-number="1">deng_SCE<span class="op">$</span>pseudotime_ouija <-<span class="st"> </span>ouija_pseudotime<span class="op">$</span>map_pst</a>
+<a class="sourceLine" id="cb552-2" data-line-number="2">deng_SCE<span class="op">$</span>ouija_cell_class <-<span class="st"> </span>ouija_pseudotime<span class="op">$</span>cell_classifications</a>
+<a class="sourceLine" id="cb552-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb552-4" data-line-number="4"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
+<a class="sourceLine" id="cb552-5" data-line-number="5"> <span class="kw">aes</span>(<span class="dt">x =</span> pseudotime_ouija, </a>
+<a class="sourceLine" id="cb552-6" data-line-number="6"> <span class="dt">y =</span> cell_type2, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb552-7" data-line-number="7"><span class="st"> </span><span class="kw">geom_quasirandom</span>(<span class="dt">groupOnX =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb552-8" data-line-number="8"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb552-9" data-line-number="9"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Ouija pseudotime"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb552-10" data-line-number="10"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Timepoint"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb552-11" data-line-number="11"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-pseudotime-2.png" width="90%" style="display: block; margin: auto;" /></p>
<p>Ouija does quite well in the ordering of the cells here, although it can be sensitive to the choice of marker genes and prior information supplied. How do the results change if you select different marker genes or change the priors?</p>
<p>Ouija identifies four metastable states here, which we might annotate as “zygote/2cellâ€, “4/8/16 cellâ€, “blast1†and “blast2â€.</p>
-<div class="sourceCode" id="cb783"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb783-1" data-line-number="1"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
-<a class="sourceLine" id="cb783-2" data-line-number="2"> <span class="kw">aes</span>(<span class="dt">x =</span> <span class="kw">as.factor</span>(ouija_cell_class), </a>
-<a class="sourceLine" id="cb783-3" data-line-number="3"> <span class="dt">y =</span> pseudotime_ouija, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb783-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_boxplot</span>() <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb783-5" data-line-number="5"><span class="st"> </span><span class="kw">coord_flip</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb783-6" data-line-number="6"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb783-7" data-line-number="7"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Ouija cell classification"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb783-8" data-line-number="8"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Ouija pseudotime"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb783-9" data-line-number="9"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
+<div class="sourceCode" id="cb553"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb553-1" data-line-number="1"><span class="kw">ggplot</span>(<span class="kw">as.data.frame</span>(<span class="kw">colData</span>(deng_SCE)), </a>
+<a class="sourceLine" id="cb553-2" data-line-number="2"> <span class="kw">aes</span>(<span class="dt">x =</span> <span class="kw">as.factor</span>(ouija_cell_class), </a>
+<a class="sourceLine" id="cb553-3" data-line-number="3"> <span class="dt">y =</span> pseudotime_ouija, <span class="dt">colour =</span> cell_type2)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb553-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_boxplot</span>() <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb553-5" data-line-number="5"><span class="st"> </span><span class="kw">coord_flip</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb553-6" data-line-number="6"><span class="st"> </span><span class="kw">scale_color_manual</span>(<span class="dt">values =</span> my_color) <span class="op">+</span><span class="st"> </span><span class="kw">theme_classic</span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb553-7" data-line-number="7"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Ouija cell classification"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb553-8" data-line-number="8"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Ouija pseudotime"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb553-9" data-line-number="9"><span class="st"> </span><span class="kw">theme_classic</span>()</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/ouija-states-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>A common analysis is to work out the regulation orderings of genes. For example, is gene A upregulated before gene B? Does gene C peak before the downregulation of gene D? Ouija answers these questions in terms of a Bayesian hypothesis test of whether the difference in regulation timing (either switch time or peak time) is significantly different to 0. This is collated using the gene_regulation function.</p>
-<div class="sourceCode" id="cb784"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb784-1" data-line-number="1">gene_regs <-<span class="st"> </span><span class="kw">gene_regulation</span>(oui_vb)</a>
-<a class="sourceLine" id="cb784-2" data-line-number="2"><span class="kw">head</span>(gene_regs)</a></code></pre></div>
+<div class="sourceCode" id="cb554"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb554-1" data-line-number="1">gene_regs <-<span class="st"> </span><span class="kw">gene_regulation</span>(oui_vb)</a>
+<a class="sourceLine" id="cb554-2" data-line-number="2"><span class="kw">head</span>(gene_regs)</a></code></pre></div>
<pre><code>## # A tibble: 6 x 7
## # Groups: label, gene_A [6]
## label gene_A gene_B mean_difference lower_95 upper_95 significant
@@ -1147,29 +1154,29 @@ of genes from those chosen by SLICER (e.g. the genes identified by M3Drop)?</p>
<p>If you have time, you might try the HMC inference method and see if that changes the Ouija results in any way.</p>
</div>
</div>
-<div id="comparison-of-the-methods" class="section level3">
-<h3><span class="header-section-number">11.1.9</span> Comparison of the methods</h3>
+<div id="comparison-of-the-methods" class="section level2">
+<h2><span class="header-section-number">11.6</span> Comparison of the methods</h2>
<p>How do the trajectories inferred by TSCAN, Monocle, Diffusion Map, SLICER and Ouija compare?</p>
<p>TSCAN and Diffusion Map methods get the trajectory the “wrong way roundâ€, so we’ll adjust that for these comparisons.</p>
-<div class="sourceCode" id="cb786"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb786-1" data-line-number="1">df_pseudotime <-<span class="st"> </span><span class="kw">as.data.frame</span>(</a>
-<a class="sourceLine" id="cb786-2" data-line-number="2"> <span class="kw">colData</span>(deng_SCE)[, <span class="kw">grep</span>(<span class="st">"pseudotime"</span>, <span class="kw">colnames</span>(<span class="kw">colData</span>(deng_SCE)))]</a>
-<a class="sourceLine" id="cb786-3" data-line-number="3">)</a>
-<a class="sourceLine" id="cb786-4" data-line-number="4"><span class="kw">colnames</span>(df_pseudotime) <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"pseudotime_"</span>, <span class="st">""</span>, </a>
-<a class="sourceLine" id="cb786-5" data-line-number="5"> <span class="kw">colnames</span>(df_pseudotime))</a>
-<a class="sourceLine" id="cb786-6" data-line-number="6">df_pseudotime<span class="op">$</span>PC1 <-<span class="st"> </span><span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">1</span>]</a>
-<a class="sourceLine" id="cb786-7" data-line-number="7">df_pseudotime<span class="op">$</span>order_tscan <-<span class="st"> </span><span class="op">-</span>df_pseudotime<span class="op">$</span>order_tscan</a>
-<a class="sourceLine" id="cb786-8" data-line-number="8"><span class="co">#df_pseudotime$diffusionmap <- df_pseudotime$diffusionmap</span></a>
-<a class="sourceLine" id="cb786-9" data-line-number="9">df_pseudotime<span class="op">$</span>slingshot1 <-<span class="st"> </span><span class="kw">colData</span>(deng_SCE)<span class="op">$</span>slingPseudotime_<span class="dv">1</span></a>
-<a class="sourceLine" id="cb786-10" data-line-number="10"></a>
-<a class="sourceLine" id="cb786-11" data-line-number="11"><span class="kw">corrplot.mixed</span>(<span class="kw">cor</span>(df_pseudotime, <span class="dt">use =</span> <span class="st">"na.or.complete"</span>), </a>
-<a class="sourceLine" id="cb786-12" data-line-number="12"> <span class="dt">order =</span> <span class="st">"hclust"</span>, <span class="dt">tl.col =</span> <span class="st">"black"</span>,</a>
-<a class="sourceLine" id="cb786-13" data-line-number="13"> <span class="dt">main =</span> <span class="st">"Correlation matrix for pseudotime results"</span>,</a>
-<a class="sourceLine" id="cb786-14" data-line-number="14"> <span class="dt">mar =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>, <span class="fl">3.1</span>, <span class="dv">0</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb556"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb556-1" data-line-number="1">df_pseudotime <-<span class="st"> </span><span class="kw">as.data.frame</span>(</a>
+<a class="sourceLine" id="cb556-2" data-line-number="2"> <span class="kw">colData</span>(deng_SCE)[, <span class="kw">grep</span>(<span class="st">"pseudotime"</span>, <span class="kw">colnames</span>(<span class="kw">colData</span>(deng_SCE)))]</a>
+<a class="sourceLine" id="cb556-3" data-line-number="3">)</a>
+<a class="sourceLine" id="cb556-4" data-line-number="4"><span class="kw">colnames</span>(df_pseudotime) <-<span class="st"> </span><span class="kw">gsub</span>(<span class="st">"pseudotime_"</span>, <span class="st">""</span>, </a>
+<a class="sourceLine" id="cb556-5" data-line-number="5"> <span class="kw">colnames</span>(df_pseudotime))</a>
+<a class="sourceLine" id="cb556-6" data-line-number="6">df_pseudotime<span class="op">$</span>PC1 <-<span class="st"> </span><span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">1</span>]</a>
+<a class="sourceLine" id="cb556-7" data-line-number="7">df_pseudotime<span class="op">$</span>order_tscan <-<span class="st"> </span><span class="op">-</span>df_pseudotime<span class="op">$</span>order_tscan</a>
+<a class="sourceLine" id="cb556-8" data-line-number="8"><span class="co">#df_pseudotime$diffusionmap <- df_pseudotime$diffusionmap</span></a>
+<a class="sourceLine" id="cb556-9" data-line-number="9">df_pseudotime<span class="op">$</span>slingshot1 <-<span class="st"> </span><span class="kw">colData</span>(deng_SCE)<span class="op">$</span>slingPseudotime_<span class="dv">1</span></a>
+<a class="sourceLine" id="cb556-10" data-line-number="10"></a>
+<a class="sourceLine" id="cb556-11" data-line-number="11"><span class="kw">corrplot.mixed</span>(<span class="kw">cor</span>(df_pseudotime, <span class="dt">use =</span> <span class="st">"na.or.complete"</span>), </a>
+<a class="sourceLine" id="cb556-12" data-line-number="12"> <span class="dt">order =</span> <span class="st">"hclust"</span>, <span class="dt">tl.col =</span> <span class="st">"black"</span>,</a>
+<a class="sourceLine" id="cb556-13" data-line-number="13"> <span class="dt">main =</span> <span class="st">"Correlation matrix for pseudotime results"</span>,</a>
+<a class="sourceLine" id="cb556-14" data-line-number="14"> <span class="dt">mar =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">0</span>, <span class="fl">3.1</span>, <span class="dv">0</span>))</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/compare-results-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p>We see here that Ouija, TSCAN and SLICER all give trajectories that are similar and strongly correlated with PC1. Diffusion Map is less strongly correlated with these methods, and Monocle gives very different results.</p>
</div>
-<div id="expression-of-genes-through-time" class="section level3">
-<h3><span class="header-section-number">11.1.10</span> Expression of genes through time</h3>
+<div id="expression-of-genes-through-time" class="section level2">
+<h2><span class="header-section-number">11.7</span> Expression of genes through time</h2>
<p>Each package also enables the visualization of expression through pseudotime. Following individual genes is very helpful for identifying genes that play an important role in the differentiation process. We illustrate the procedure using the <code>Nanog</code> gene.</p>
<p>We have added the pseudotime values computed with all methods here to
the <code>colData</code> slot of an <code>SCE</code> object. Having done that, the full
@@ -1178,77 +1185,79 @@ investigate relationships between gene expression, cell populations
and pseudotime. This is particularly useful for the packages such as
SLICER that do not provide plotting functions.</p>
<p><strong>Principal components</strong></p>
-<div class="sourceCode" id="cb787"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb787-1" data-line-number="1">deng_SCE<span class="op">$</span>PC1 <-<span class="st"> </span><span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">1</span>]</a>
-<a class="sourceLine" id="cb787-2" data-line-number="2"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"PC1"</span>, </a>
-<a class="sourceLine" id="cb787-3" data-line-number="3"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
-<a class="sourceLine" id="cb787-4" data-line-number="4"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb557"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb557-1" data-line-number="1">deng_SCE<span class="op">$</span>PC1 <-<span class="st"> </span><span class="kw">reducedDim</span>(deng_SCE,<span class="st">"PCA"</span>)[,<span class="dv">1</span>]</a>
+<a class="sourceLine" id="cb557-2" data-line-number="2"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"PC1"</span>, </a>
+<a class="sourceLine" id="cb557-3" data-line-number="3"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
+<a class="sourceLine" id="cb557-4" data-line-number="4"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/Nanog-pc1-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>TSCAN</strong></p>
-<div class="sourceCode" id="cb788"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb788-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_order_tscan"</span>, </a>
-<a class="sourceLine" id="cb788-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
-<a class="sourceLine" id="cb788-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb558"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb558-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_order_tscan"</span>, </a>
+<a class="sourceLine" id="cb558-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
+<a class="sourceLine" id="cb558-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/Nanog-tscan-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>Monocle</strong></p>
-<div class="sourceCode" id="cb789"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb789-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_monocle2"</span>, </a>
-<a class="sourceLine" id="cb789-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
-<a class="sourceLine" id="cb789-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb559"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb559-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_monocle2"</span>, </a>
+<a class="sourceLine" id="cb559-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
+<a class="sourceLine" id="cb559-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/Nanog-monocle-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>Diffusion Map</strong></p>
-<div class="sourceCode" id="cb790"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb790-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_diffusionmap"</span>, </a>
-<a class="sourceLine" id="cb790-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
-<a class="sourceLine" id="cb790-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb560"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb560-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_diffusionmap"</span>, </a>
+<a class="sourceLine" id="cb560-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
+<a class="sourceLine" id="cb560-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/Nanog-diff-map-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>SLICER</strong></p>
-<div class="sourceCode" id="cb791"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb791-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_slicer"</span>, </a>
-<a class="sourceLine" id="cb791-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
-<a class="sourceLine" id="cb791-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb561"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb561-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_slicer"</span>, </a>
+<a class="sourceLine" id="cb561-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
+<a class="sourceLine" id="cb561-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/Nanog-slicer-1.png" width="90%" style="display: block; margin: auto;" /></p>
<p><strong>Ouija</strong></p>
-<div class="sourceCode" id="cb792"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb792-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_ouija"</span>, </a>
-<a class="sourceLine" id="cb792-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
-<a class="sourceLine" id="cb792-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb562"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb562-1" data-line-number="1"><span class="kw">plotExpression</span>(deng_SCE, <span class="st">"Nanog"</span>, <span class="dt">x =</span> <span class="st">"pseudotime_ouija"</span>, </a>
+<a class="sourceLine" id="cb562-2" data-line-number="2"> <span class="dt">colour_by =</span> <span class="st">"cell_type2"</span>, <span class="dt">show_violin =</span> <span class="ot">FALSE</span>,</a>
+<a class="sourceLine" id="cb562-3" data-line-number="3"> <span class="dt">show_smooth =</span> <span class="ot">TRUE</span>)</a></code></pre></div>
<p><img src="pseudotime_files/figure-html/Nanog-ouija-1.png" width="90%" style="display: block; margin: auto;" /></p>
-<p>How many of these methods outperform the naive approach of using the first principal component to represent pseudotime for these data?</p>
-<p><strong>Exercise 7</strong>: Repeat the exercise using a subset of the genes, e.g. the set of highly variable genes that can be obtained using <code>Brennecke_getVariableGenes()</code></p>
-</div>
+<p><strong>Q:</strong> How many of these methods outperform the naive approach of using the first
+principal component to represent pseudotime for these data?</p>
+<p><strong>Exercise 7</strong>: Repeat the exercise using a subset of the genes, e.g. the set of
+highly variable genes that can be obtained using one of the methods discussed in
+the Feature Selection chapter.</p>
<div id="dynverse" class="section level3">
-<h3><span class="header-section-number">11.1.11</span> dynverse</h3>
+<h3><span class="header-section-number">11.7.1</span> dynverse</h3>
<p><a href="https://dynverse.org/users/2-quick_start/" class="uri">https://dynverse.org/users/2-quick_start/</a></p>
-<div class="sourceCode" id="cb793"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb793-1" data-line-number="1"><span class="kw">library</span>(dyno)</a>
-<a class="sourceLine" id="cb793-2" data-line-number="2"><span class="kw">library</span>(tidyverse)</a>
-<a class="sourceLine" id="cb793-3" data-line-number="3"></a>
-<a class="sourceLine" id="cb793-4" data-line-number="4"><span class="co"># Reproduces the guidelines as created in the shiny app</span></a>
-<a class="sourceLine" id="cb793-5" data-line-number="5">answers <-<span class="st"> </span>dynguidelines<span class="op">::</span><span class="kw">answer_questions</span>(</a>
-<a class="sourceLine" id="cb793-6" data-line-number="6"> <span class="dt">multiple_disconnected =</span> <span class="ot">FALSE</span>, </a>
-<a class="sourceLine" id="cb793-7" data-line-number="7"> <span class="dt">expect_topology =</span> <span class="ot">TRUE</span>, </a>
-<a class="sourceLine" id="cb793-8" data-line-number="8"> <span class="dt">expected_topology =</span> <span class="st">"linear"</span>, </a>
-<a class="sourceLine" id="cb793-9" data-line-number="9"> <span class="dt">n_cells =</span> <span class="dv">3000</span>, </a>
-<a class="sourceLine" id="cb793-10" data-line-number="10"> <span class="dt">n_features =</span> <span class="dv">10000</span>, </a>
-<a class="sourceLine" id="cb793-11" data-line-number="11"> <span class="dt">memory =</span> <span class="st">"100GB"</span>, </a>
-<a class="sourceLine" id="cb793-12" data-line-number="12"> <span class="dt">docker =</span> <span class="ot">FALSE</span></a>
-<a class="sourceLine" id="cb793-13" data-line-number="13">)</a>
-<a class="sourceLine" id="cb793-14" data-line-number="14">guidelines <-<span class="st"> </span>dynguidelines<span class="op">::</span><span class="kw">guidelines</span>(<span class="dt">answers =</span> answers) </a>
-<a class="sourceLine" id="cb793-15" data-line-number="15">guidelines</a>
-<a class="sourceLine" id="cb793-16" data-line-number="16"></a>
-<a class="sourceLine" id="cb793-17" data-line-number="17"></a>
-<a class="sourceLine" id="cb793-18" data-line-number="18">deng_dataset <-<span class="st"> </span><span class="kw">wrap_expression</span>(</a>
-<a class="sourceLine" id="cb793-19" data-line-number="19"> <span class="dt">counts =</span> <span class="kw">counts</span>(deng_SCE),</a>
-<a class="sourceLine" id="cb793-20" data-line-number="20"> <span class="dt">expression =</span> <span class="kw">assay</span>(deng_SCE,<span class="st">"logcounts"</span>)</a>
-<a class="sourceLine" id="cb793-21" data-line-number="21"> </a>
-<a class="sourceLine" id="cb793-22" data-line-number="22">)</a>
-<a class="sourceLine" id="cb793-23" data-line-number="23">model <-<span class="st"> </span><span class="kw">infer_trajectory</span>(deng_dataset, <span class="kw">first</span>(guidelines<span class="op">$</span>methods_selected))</a>
-<a class="sourceLine" id="cb793-24" data-line-number="24"><span class="co">## Loading required namespace: hdf5r</span></a>
-<a class="sourceLine" id="cb793-25" data-line-number="25"></a>
-<a class="sourceLine" id="cb793-26" data-line-number="26">model <-<span class="st"> </span>model <span class="op">%>%</span><span class="st"> </span><span class="kw">add_dimred</span>(dyndimred<span class="op">::</span>dimred_mds, </a>
-<a class="sourceLine" id="cb793-27" data-line-number="27"> <span class="dt">expression_source =</span> deng_dataset<span class="op">$</span>expression)</a>
-<a class="sourceLine" id="cb793-28" data-line-number="28"><span class="kw">plot_dimred</span>(</a>
-<a class="sourceLine" id="cb793-29" data-line-number="29"> model, </a>
-<a class="sourceLine" id="cb793-30" data-line-number="30"> <span class="dt">expression_source =</span> deng_dataset<span class="op">$</span>expression, </a>
-<a class="sourceLine" id="cb793-31" data-line-number="31"> <span class="dt">grouping =</span> deng_SCE<span class="op">$</span>cell_type2</a>
-<a class="sourceLine" id="cb793-32" data-line-number="32">)</a></code></pre></div>
+<div class="sourceCode" id="cb563"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb563-1" data-line-number="1"><span class="kw">library</span>(dyno)</a>
+<a class="sourceLine" id="cb563-2" data-line-number="2"><span class="kw">library</span>(tidyverse)</a>
+<a class="sourceLine" id="cb563-3" data-line-number="3"></a>
+<a class="sourceLine" id="cb563-4" data-line-number="4"><span class="co"># Reproduces the guidelines as created in the shiny app</span></a>
+<a class="sourceLine" id="cb563-5" data-line-number="5">answers <-<span class="st"> </span>dynguidelines<span class="op">::</span><span class="kw">answer_questions</span>(</a>
+<a class="sourceLine" id="cb563-6" data-line-number="6"> <span class="dt">multiple_disconnected =</span> <span class="ot">FALSE</span>, </a>
+<a class="sourceLine" id="cb563-7" data-line-number="7"> <span class="dt">expect_topology =</span> <span class="ot">TRUE</span>, </a>
+<a class="sourceLine" id="cb563-8" data-line-number="8"> <span class="dt">expected_topology =</span> <span class="st">"linear"</span>, </a>
+<a class="sourceLine" id="cb563-9" data-line-number="9"> <span class="dt">n_cells =</span> <span class="dv">3000</span>, </a>
+<a class="sourceLine" id="cb563-10" data-line-number="10"> <span class="dt">n_features =</span> <span class="dv">10000</span>, </a>
+<a class="sourceLine" id="cb563-11" data-line-number="11"> <span class="dt">memory =</span> <span class="st">"100GB"</span>, </a>
+<a class="sourceLine" id="cb563-12" data-line-number="12"> <span class="dt">docker =</span> <span class="ot">FALSE</span></a>
+<a class="sourceLine" id="cb563-13" data-line-number="13">)</a>
+<a class="sourceLine" id="cb563-14" data-line-number="14">guidelines <-<span class="st"> </span>dynguidelines<span class="op">::</span><span class="kw">guidelines</span>(<span class="dt">answers =</span> answers) </a>
+<a class="sourceLine" id="cb563-15" data-line-number="15">guidelines</a>
+<a class="sourceLine" id="cb563-16" data-line-number="16"></a>
+<a class="sourceLine" id="cb563-17" data-line-number="17"></a>
+<a class="sourceLine" id="cb563-18" data-line-number="18">deng_dataset <-<span class="st"> </span><span class="kw">wrap_expression</span>(</a>
+<a class="sourceLine" id="cb563-19" data-line-number="19"> <span class="dt">counts =</span> <span class="kw">counts</span>(deng_SCE),</a>
+<a class="sourceLine" id="cb563-20" data-line-number="20"> <span class="dt">expression =</span> <span class="kw">assay</span>(deng_SCE,<span class="st">"logcounts"</span>)</a>
+<a class="sourceLine" id="cb563-21" data-line-number="21"> </a>
+<a class="sourceLine" id="cb563-22" data-line-number="22">)</a>
+<a class="sourceLine" id="cb563-23" data-line-number="23">model <-<span class="st"> </span><span class="kw">infer_trajectory</span>(deng_dataset, <span class="kw">first</span>(guidelines<span class="op">$</span>methods_selected))</a>
+<a class="sourceLine" id="cb563-24" data-line-number="24"><span class="co">## Loading required namespace: hdf5r</span></a>
+<a class="sourceLine" id="cb563-25" data-line-number="25"></a>
+<a class="sourceLine" id="cb563-26" data-line-number="26">model <-<span class="st"> </span>model <span class="op">%>%</span><span class="st"> </span><span class="kw">add_dimred</span>(dyndimred<span class="op">::</span>dimred_mds, </a>
+<a class="sourceLine" id="cb563-27" data-line-number="27"> <span class="dt">expression_source =</span> deng_dataset<span class="op">$</span>expression)</a>
+<a class="sourceLine" id="cb563-28" data-line-number="28"><span class="kw">plot_dimred</span>(</a>
+<a class="sourceLine" id="cb563-29" data-line-number="29"> model, </a>
+<a class="sourceLine" id="cb563-30" data-line-number="30"> <span class="dt">expression_source =</span> deng_dataset<span class="op">$</span>expression, </a>
+<a class="sourceLine" id="cb563-31" data-line-number="31"> <span class="dt">grouping =</span> deng_SCE<span class="op">$</span>cell_type2</a>
+<a class="sourceLine" id="cb563-32" data-line-number="32">)</a></code></pre></div>
</div>
<div id="sessioninfo-7" class="section level3">
-<h3><span class="header-section-number">11.1.12</span> sessionInfo()</h3>
+<h3><span class="header-section-number">11.7.2</span> sessionInfo()</h3>
<pre><code>## R version 3.6.0 (2019-04-26)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 18.04.3 LTS
--
GitLab